From c7dd20703862580c1abc478dc70ceb8523e51cd3 Mon Sep 17 00:00:00 2001 From: iftaken Date: Fri, 13 May 2022 18:02:39 +0800 Subject: [PATCH 001/192] fixs CORS Error --- paddlespeech/server/bin/paddlespeech_server.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/paddlespeech/server/bin/paddlespeech_server.py b/paddlespeech/server/bin/paddlespeech_server.py index db92f1795..1922399f3 100644 --- a/paddlespeech/server/bin/paddlespeech_server.py +++ b/paddlespeech/server/bin/paddlespeech_server.py @@ -17,6 +17,7 @@ from typing import List import uvicorn from fastapi import FastAPI +from starlette.middleware.cors import CORSMiddleware from prettytable import PrettyTable from ..executor import BaseExecutor @@ -33,6 +34,12 @@ __all__ = ['ServerExecutor', 'ServerStatsExecutor'] app = FastAPI( title="PaddleSpeech Serving API", description="Api", version="0.0.1") +app.add_middleware( + CORSMiddleware, + allow_origins=["*"], + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"]) @cli_server_register( name='paddlespeech_server.start', description='Start the service') From 450cd98ce0bb77c966628cd81c78b2b6975d5d46 Mon Sep 17 00:00:00 2001 From: iftaken Date: Fri, 20 May 2022 15:27:58 +0800 Subject: [PATCH 002/192] add PP-TTS,PP-ASR,PP-VPR --- README.md | 1 + README_cn.md | 1 + 2 files changed, 2 insertions(+) diff --git a/README.md b/README.md index d32131c0d..2ade8a69c 100644 --- a/README.md +++ b/README.md @@ -161,6 +161,7 @@ Via the easy-to-use, efficient, flexible and scalable implementation, our vision - 🧩 *Cascaded models application*: as an extension of the typical traditional audio tasks, we combine the workflows of the aforementioned tasks with other fields like Natural language processing (NLP) and Computer Vision (CV). ### Recent Update +- 👑 2022.05.13: Release [PP-ASR](./docs/source/asr/PPASR.md)、[PP-TTS](./docs/source/tts/PPTTS.md)、[PP-VPR](docs/source/vpr/PPVPR.md) - 👏🏻 2022.05.06: `Streaming ASR` with `Punctuation Restoration` and `Token Timestamp`. - 👏🏻 2022.05.06: `Server` is available for `Speaker Verification`, and `Punctuation Restoration`. - 👏🏻 2022.04.28: `Streaming Server` is available for `Automatic Speech Recognition` and `Text-to-Speech`. diff --git a/README_cn.md b/README_cn.md index ceb9dc187..f5ba93629 100644 --- a/README_cn.md +++ b/README_cn.md @@ -182,6 +182,7 @@ from https://github.com/18F/open-source-guide/blob/18f-pages/pages/making-readme +- 👑 2022.05.13: PaddleSpeech 发布 [PP-ASR](./docs/source/asr/PPASR_cn.md)、[PP-TTS](./docs/source/tts/PPTTS_cn.md)、[PP-VPR](docs/source/vpr/PPVPR_cn.md) - 👏🏻 2022.05.06: PaddleSpeech Streaming Server 上线! 覆盖了语音识别（标点恢复、时间戳），和语音合成。 - 👏🏻 2022.05.06: PaddleSpeech Server 上线! 覆盖了声音分类、语音识别、语音合成、声纹识别，标点恢复。 - 👏🏻 2022.03.28: PaddleSpeech CLI 覆盖声音分类、语音识别、语音翻译（英译中）、语音合成，声纹验证。 From a4bcf5ec0aee37707bc0824856f44892a0268fa0 Mon Sep 17 00:00:00 2001 From: KP <109694228@qq.com> Date: Thu, 26 May 2022 16:37:59 +0800 Subject: [PATCH 003/192] Add kws tipc. --- .../configs/mdtc/train_infer_python.txt | 57 +++++++++++++++++++ tests/test_tipc/prepare.sh | 9 +++ 2 files changed, 66 insertions(+) create mode 100644 tests/test_tipc/configs/mdtc/train_infer_python.txt diff --git a/tests/test_tipc/configs/mdtc/train_infer_python.txt b/tests/test_tipc/configs/mdtc/train_infer_python.txt new file mode 100644 index 000000000..7a5f658ee --- /dev/null +++ b/tests/test_tipc/configs/mdtc/train_infer_python.txt @@ -0,0 +1,57 @@ +===========================train_params=========================== +model_name:mdtc +python:python3.7 +gpu_list:0|0,1 +null:null +null:null +--benchmark-max-step:50 +null:null +--benchmark-batch-size:16 +null:null +null:null +null:null +null:null +## +trainer:norm_train +norm_train: ../paddlespeech/kws/exps/mdtc/train.py --config=../examples/hey_snips/kws0/conf/mdtc.yaml +pact_train:null +fpgm_train:null +distill_train:null +null:null +null:null +## +===========================eval_params=========================== +eval:null +null:null +## +===========================infer_params=========================== +null:null +null:null +norm_export: null +quant_export:null +fpgm_export:null +distill_export:null +export1:null +export2:null +null:null +infer_model:null +infer_export:null +infer_quant:null +inference:null +null:null +null:null +null:null +null:null +null:null +null:null +null:null +null:null +null:null +null:null +null:null +===========================train_benchmark_params========================== +batch_size:16|30 +fp_items:fp32 +iteration:50 +--profiler-options:"batch_range=[10,35];state=GPU;tracer_option=Default;profile_path=model.profile" +flags:null diff --git a/tests/test_tipc/prepare.sh b/tests/test_tipc/prepare.sh index a13938017..b38bbcba1 100644 --- a/tests/test_tipc/prepare.sh +++ b/tests/test_tipc/prepare.sh @@ -80,4 +80,13 @@ if [ ${MODE} = "benchmark_train" ];then python ../paddlespeech/t2s/exps/gan_vocoder/normalize.py --metadata=dump/test/raw/metadata.jsonl --dumpdir=dump/test/norm --stats=dump/train/feats_stats.npy fi + if [ ${model_name} == "mdtc" ]; then + # 下载 Snips 数据集并解压缩 + wget -nc https://paddlespeech.bj.bcebos.com/datasets/hey_snips_kws_4.0.tar.gz.1 https://paddlespeech.bj.bcebos.com/datasets/hey_snips_https://paddlespeech.bj.bcebos.com/datasets/hey_snips_kws_4.0.tar.gz.2 + cat hey_snips_kws_4.0.tar.gz.* > hey_snips_kws_4.0.tar.gz + rm hey_snips_kws_4.0.tar.gz.* + tar -xzf hey_snips_kws_4.0.tar.gz + # 解压后的数据目录 ./hey_snips_research_6k_en_train_eval_clean_ter + fi + fi From e68f1ce6f5267f7be11ad199266b25ff533e79b3 Mon Sep 17 00:00:00 2001 From: iftaken Date: Thu, 16 Jun 2022 14:58:33 +0800 Subject: [PATCH 004/192] add speech web demo --- demos/speech_web_demo/.gitignore | 16 + demos/speech_web_demo/README.MD | 168 ++ .../conf/tts_online_application.yaml | 103 + ...former_wenetspeech_application_faster.yaml | 48 + demos/speech_web_demo/speech_server/main.py | 492 +++++ .../speech_server/requirements.txt | 14 + .../speech_server/src/AudioManeger.py | 173 ++ .../speech_server/src/SpeechBase/asr.py | 87 + .../speech_server/src/SpeechBase/nlp.py | 28 + .../src/SpeechBase/sql_helper.py | 152 ++ .../speech_server/src/SpeechBase/tts.py | 121 ++ .../speech_server/src/SpeechBase/vpr.py | 152 ++ .../src/SpeechBase/vpr_encode.py | 26 + .../speech_server/src/WebsocketManeger.py | 31 + .../speech_server/src/robot.py | 93 + .../speech_web_demo/speech_server/src/util.py | 18 + demos/speech_web_demo/web_client/.gitignore | 25 + demos/speech_web_demo/web_client/README.md | 7 + demos/speech_web_demo/web_client/index.html | 13 + .../web_client/package-lock.json | 1869 +++++++++++++++++ demos/speech_web_demo/web_client/package.json | 23 + .../web_client/public/favicon.ico | Bin 0 -> 4286 bytes demos/speech_web_demo/web_client/src/App.vue | 19 + .../speech_web_demo/web_client/src/api/API.js | 29 + .../web_client/src/api/ApiASR.js | 30 + .../web_client/src/api/ApiNLP.js | 17 + .../web_client/src/api/ApiTTS.js | 8 + .../web_client/src/api/ApiVPR.js | 32 + .../src/assets/image/ic_大-上传文件.svg | 6 + .../src/assets/image/ic_大-声音波浪.svg | 6 + .../src/assets/image/ic_大-语音.svg | 6 + .../src/assets/image/ic_小-录制语音.svg | 6 + .../src/assets/image/ic_小-结束.svg | 3 + .../src/assets/image/ic_开始聊天.svg | 6 + .../assets/image/ic_开始聊天_hover.svg | 6 + .../assets/image/ic_播放（按钮）.svg | 3 + .../assets/image/ic_暂停（按钮）.svg | 3 + .../src/assets/image/ic_更换示例.svg | 11 + .../assets/image/icon_小-声音波浪.svg | 6 + .../image/icon_录制声音小语音1.svg | 14 + .../assets/image/在线体验-背景@2x.png | Bin 0 -> 78525 bytes .../src/assets/image/场景齐全@3x.png | Bin 0 -> 8539 bytes .../src/assets/image/教程丰富@3x.png | Bin 0 -> 8960 bytes .../src/assets/image/模型全面@3x.png | Bin 0 -> 9972 bytes .../assets/image/步骤-箭头切图@2x.png | Bin 0 -> 5515 bytes .../src/assets/image/用户头像@2x.png | Bin 0 -> 7509 bytes .../src/assets/image/飞桨头像@2x.png | Bin 0 -> 8144 bytes .../web_client/src/assets/logo.png | Bin 0 -> 6849 bytes .../src/components/Content/Header/Header.vue | 26 + .../src/components/Content/Header/style.less | 148 ++ .../src/components/Content/Tail/Tail.vue | 0 .../src/components/Content/Tail/style.less | 0 .../web_client/src/components/Experience.vue | 50 + .../src/components/SubMenu/ASR/ASR.vue | 154 ++ .../src/components/SubMenu/ASR/ASRT.vue | 38 + .../ASR/AudioFile/AudioFileIdentification.vue | 241 +++ .../SubMenu/ASR/AudioFile/style.less | 293 +++ .../ASR/EndToEnd/EndToEndIdentification.vue | 92 + .../SubMenu/ASR/EndToEnd/style.less | 114 + .../SubMenu/ASR/RealTime/RealTime.vue | 128 ++ .../SubMenu/ASR/RealTime/style.less | 112 + .../src/components/SubMenu/ASR/style.less | 76 + .../src/components/SubMenu/ChatBot/Chat.vue | 298 +++ .../src/components/SubMenu/ChatBot/ChatT.vue | 255 +++ .../src/components/SubMenu/ChatBot/style.less | 181 ++ .../src/components/SubMenu/IE/IE.vue | 125 ++ .../src/components/SubMenu/IE/IET.vue | 166 ++ .../src/components/SubMenu/IE/style.less | 179 ++ .../src/components/SubMenu/TTS/TTS.vue | 726 +++++++ .../src/components/SubMenu/TTS/TTST.vue | 359 ++++ .../src/components/SubMenu/TTS/style.less | 369 ++++ .../src/components/SubMenu/VPR/VPR.vue | 178 ++ .../src/components/SubMenu/VPR/VPRT.vue | 335 +++ .../src/components/SubMenu/VPR/style.less | 419 ++++ .../web_client/src/components/style.less | 83 + demos/speech_web_demo/web_client/src/main.js | 13 + .../speech_web_demo/web_client/vite.config.js | 28 + demos/speech_web_demo/web_client/yarn.lock | 785 +++++++ demos/speech_web_demo/接口文档.md | 406 ++++ 79 files changed, 10247 insertions(+) create mode 100644 demos/speech_web_demo/.gitignore create mode 100644 demos/speech_web_demo/README.MD create mode 100644 demos/speech_web_demo/speech_server/conf/tts_online_application.yaml create mode 100644 demos/speech_web_demo/speech_server/conf/ws_conformer_wenetspeech_application_faster.yaml create mode 100644 demos/speech_web_demo/speech_server/main.py create mode 100644 demos/speech_web_demo/speech_server/requirements.txt create mode 100644 demos/speech_web_demo/speech_server/src/AudioManeger.py create mode 100644 demos/speech_web_demo/speech_server/src/SpeechBase/asr.py create mode 100644 demos/speech_web_demo/speech_server/src/SpeechBase/nlp.py create mode 100644 demos/speech_web_demo/speech_server/src/SpeechBase/sql_helper.py create mode 100644 demos/speech_web_demo/speech_server/src/SpeechBase/tts.py create mode 100644 demos/speech_web_demo/speech_server/src/SpeechBase/vpr.py create mode 100644 demos/speech_web_demo/speech_server/src/SpeechBase/vpr_encode.py create mode 100644 demos/speech_web_demo/speech_server/src/WebsocketManeger.py create mode 100644 demos/speech_web_demo/speech_server/src/robot.py create mode 100644 demos/speech_web_demo/speech_server/src/util.py create mode 100644 demos/speech_web_demo/web_client/.gitignore create mode 100644 demos/speech_web_demo/web_client/README.md create mode 100644 demos/speech_web_demo/web_client/index.html create mode 100644 demos/speech_web_demo/web_client/package-lock.json create mode 100644 demos/speech_web_demo/web_client/package.json create mode 100644 demos/speech_web_demo/web_client/public/favicon.ico create mode 100644 demos/speech_web_demo/web_client/src/App.vue create mode 100644 demos/speech_web_demo/web_client/src/api/API.js create mode 100644 demos/speech_web_demo/web_client/src/api/ApiASR.js create mode 100644 demos/speech_web_demo/web_client/src/api/ApiNLP.js create mode 100644 demos/speech_web_demo/web_client/src/api/ApiTTS.js create mode 100644 demos/speech_web_demo/web_client/src/api/ApiVPR.js create mode 100644 demos/speech_web_demo/web_client/src/assets/image/ic_大-上传文件.svg create mode 100644 demos/speech_web_demo/web_client/src/assets/image/ic_大-声音波浪.svg create mode 100644 demos/speech_web_demo/web_client/src/assets/image/ic_大-语音.svg create mode 100644 demos/speech_web_demo/web_client/src/assets/image/ic_小-录制语音.svg create mode 100644 demos/speech_web_demo/web_client/src/assets/image/ic_小-结束.svg create mode 100644 demos/speech_web_demo/web_client/src/assets/image/ic_开始聊天.svg create mode 100644 demos/speech_web_demo/web_client/src/assets/image/ic_开始聊天_hover.svg create mode 100644 demos/speech_web_demo/web_client/src/assets/image/ic_播放（按钮）.svg create mode 100644 demos/speech_web_demo/web_client/src/assets/image/ic_暂停（按钮）.svg create mode 100644 demos/speech_web_demo/web_client/src/assets/image/ic_更换示例.svg create mode 100644 demos/speech_web_demo/web_client/src/assets/image/icon_小-声音波浪.svg create mode 100644 demos/speech_web_demo/web_client/src/assets/image/icon_录制声音小语音1.svg create mode 100644 demos/speech_web_demo/web_client/src/assets/image/在线体验-背景@2x.png create mode 100644 demos/speech_web_demo/web_client/src/assets/image/场景齐全@3x.png create mode 100644 demos/speech_web_demo/web_client/src/assets/image/教程丰富@3x.png create mode 100644 demos/speech_web_demo/web_client/src/assets/image/模型全面@3x.png create mode 100644 demos/speech_web_demo/web_client/src/assets/image/步骤-箭头切图@2x.png create mode 100644 demos/speech_web_demo/web_client/src/assets/image/用户头像@2x.png create mode 100644 demos/speech_web_demo/web_client/src/assets/image/飞桨头像@2x.png create mode 100644 demos/speech_web_demo/web_client/src/assets/logo.png create mode 100644 demos/speech_web_demo/web_client/src/components/Content/Header/Header.vue create mode 100644 demos/speech_web_demo/web_client/src/components/Content/Header/style.less create mode 100644 demos/speech_web_demo/web_client/src/components/Content/Tail/Tail.vue create mode 100644 demos/speech_web_demo/web_client/src/components/Content/Tail/style.less create mode 100644 demos/speech_web_demo/web_client/src/components/Experience.vue create mode 100644 demos/speech_web_demo/web_client/src/components/SubMenu/ASR/ASR.vue create mode 100644 demos/speech_web_demo/web_client/src/components/SubMenu/ASR/ASRT.vue create mode 100644 demos/speech_web_demo/web_client/src/components/SubMenu/ASR/AudioFile/AudioFileIdentification.vue create mode 100644 demos/speech_web_demo/web_client/src/components/SubMenu/ASR/AudioFile/style.less create mode 100644 demos/speech_web_demo/web_client/src/components/SubMenu/ASR/EndToEnd/EndToEndIdentification.vue create mode 100644 demos/speech_web_demo/web_client/src/components/SubMenu/ASR/EndToEnd/style.less create mode 100644 demos/speech_web_demo/web_client/src/components/SubMenu/ASR/RealTime/RealTime.vue create mode 100644 demos/speech_web_demo/web_client/src/components/SubMenu/ASR/RealTime/style.less create mode 100644 demos/speech_web_demo/web_client/src/components/SubMenu/ASR/style.less create mode 100644 demos/speech_web_demo/web_client/src/components/SubMenu/ChatBot/Chat.vue create mode 100644 demos/speech_web_demo/web_client/src/components/SubMenu/ChatBot/ChatT.vue create mode 100644 demos/speech_web_demo/web_client/src/components/SubMenu/ChatBot/style.less create mode 100644 demos/speech_web_demo/web_client/src/components/SubMenu/IE/IE.vue create mode 100644 demos/speech_web_demo/web_client/src/components/SubMenu/IE/IET.vue create mode 100644 demos/speech_web_demo/web_client/src/components/SubMenu/IE/style.less create mode 100644 demos/speech_web_demo/web_client/src/components/SubMenu/TTS/TTS.vue create mode 100644 demos/speech_web_demo/web_client/src/components/SubMenu/TTS/TTST.vue create mode 100644 demos/speech_web_demo/web_client/src/components/SubMenu/TTS/style.less create mode 100644 demos/speech_web_demo/web_client/src/components/SubMenu/VPR/VPR.vue create mode 100644 demos/speech_web_demo/web_client/src/components/SubMenu/VPR/VPRT.vue create mode 100644 demos/speech_web_demo/web_client/src/components/SubMenu/VPR/style.less create mode 100644 demos/speech_web_demo/web_client/src/components/style.less create mode 100644 demos/speech_web_demo/web_client/src/main.js create mode 100644 demos/speech_web_demo/web_client/vite.config.js create mode 100644 demos/speech_web_demo/web_client/yarn.lock create mode 100644 demos/speech_web_demo/接口文档.md diff --git a/demos/speech_web_demo/.gitignore b/demos/speech_web_demo/.gitignore new file mode 100644 index 000000000..54418e605 --- /dev/null +++ b/demos/speech_web_demo/.gitignore @@ -0,0 +1,16 @@ +*/.vscode/* +*.wav +*/resource/* +.Ds* +*.pyc +*.pcm +*.npy +*.diff +*.sqlite +*/static/* +*.pdparams +*.pdiparams* +*.pdmodel +*/source/* +*/PaddleSpeech/* + diff --git a/demos/speech_web_demo/README.MD b/demos/speech_web_demo/README.MD new file mode 100644 index 000000000..cfcbe5595 --- /dev/null +++ b/demos/speech_web_demo/README.MD @@ -0,0 +1,168 @@ +# Paddle Speech Demo + +PaddleSpeechDemo是一个以PaddleSpeech的语音交互功能为主体开发的Demo展示项目，用于帮助大家更好的上手PaddleSpeech以及使用PaddleSpeech构建自己的应用。 + +智能语音交互部分使用PaddleSpeech，对话以及信息抽取部分使用PaddleNLP，网页前端展示部分基于Vue3进行开发 + +主要功能： + ++ 语音聊天：PaddleSpeech的语音识别能力+语音合成能力，对话部分基于PaddleNLP的闲聊功能 ++ 声纹识别：PaddleSpeech的声纹识别功能展示 ++ 语音识别：支持【实时语音识别】，【端到端识别】，【音频文件识别】三种模式 ++ 语音合成：支持【流式合成】与【端到端合成】两种方式 ++ 语音指令：基于PaddleSpeech的语音识别能力与PaddleNLP的信息抽取，实现交通费的智能报销 + +运行效果： + + ![效果](docs/效果展示.png) + +## 安装 + +### 后端环境安装 + +``` +# 安装环境 +cd speech_server +pip install -r requirements.txt +``` + + +### 前端环境安装 + +前端依赖node.js ，需要提前安装，确保npm可用，npm测试版本8.3.1，建议下载[官网](https://nodejs.org/en/)稳定版的node.js + +``` +# 进入前端目录 +cd web_client + +# 安装yarn，已经安装可跳过 +npm install -g yarn + +# 使用yarn安装前端依赖 +yarn install +``` + + +## 启动服务 + +### 开启后端服务 + +``` +cd speech_server +# 默认8010端口 +python main.py --port 8010 +``` + +### 开启前端服务 + +``` +cd web_client +yarn dev --port 8011 +``` + +默认配置下，前端中配置的后台地址信息是localhost，确保后端服务器和打开页面的游览器在同一台机器上，不在一台机器的配置方式见下方的FAQ：【后端如果部署在其它机器或者别的端口如何修改】 + +## Docker启动 + +### 后端docker +后端docker使用[paddlepaddle官方docker](https://www.paddlepaddle.org.cn/),这里演示CPU版本 +``` +# 拉取PaddleSpeech项目 +cd PaddleSpeechServer +git clone https://github.com/PaddlePaddle/PaddleSpeech.git + +# 拉取镜像 +docker pull registry.baidubce.com/paddlepaddle/paddle:2.3.0 + +# 启动容器 +docker run --name paddle -it -p 8010:8010 -v $PWD:/paddle registry.baidubce.com/paddlepaddle/paddle:2.3.0 /bin/bash + +# 进入容器 +cd /paddle + +# 安装依赖 +pip install -r requirements + +# 启动服务 +python main --port 8010 + +``` + +### 前端docker + +前端docker直接使用[node官方的docker](https://hub.docker.com/_/node)即可 + +```shell +docker pull node +``` + +镜像中安装依赖 + +```shell +cd PaddleSpeechWebClient +# 映射外部8011端口 +docker run -it -p 8011:8011 -v $PWD:/paddle node:latest bin/bash +# 进入容器中 +cd /paddle +# 安装依赖 +yarn install +# 启动前端 +yarn dev --port 8011 +``` + + + + + +## FAQ + +#### Q: 如何安装node.js + +A： node.js的安装可以参考[【菜鸟教程】](https://www.runoob.com/nodejs/nodejs-install-setup.html), 确保npm可用 + +#### Q：后端如果部署在其它机器或者别的端口如何修改 + +A：后端的配置地址有分散在两个文件中 + +修改第一个文件`PaddleSpeechWebClient/vite.config.js` + +```json +server: { + host: "0.0.0.0", + proxy: { + "/api": { + target: "http://localhost:8010", // 这里改成后端所在接口 + changeOrigin: true, + rewrite: (path) => path.replace(/^\/api/, ""), + }, + }, + } +``` + +修改第二个文件`PaddleSpeechWebClient/src/api/API.js`（Websocket代理配置失败，所以需要在这个文件中修改） + +```javascript +// websocket （这里改成后端所在的接口） +CHAT_SOCKET_RECORD: 'ws://localhost:8010/ws/asr/offlineStream', // ChatBot websocket 接口 +ASR_SOCKET_RECORD: 'ws://localhost:8010/ws/asr/onlineStream', // Stream ASR 接口 +TTS_SOCKET_RECORD: 'ws://localhost:8010/ws/tts/online', // Stream TTS 接口 +``` + +#### Q：后端以IP地址的形式，前端无法录音 + +A：这里主要是游览器安全策略的限制，需要配置游览器后重启。游览器修改配置可参考[使用js-audio-recorder报浏览器不支持getUserMedia](https://blog.csdn.net/YRY_LIKE_YOU/article/details/113745273) + +chrome设置地址: chrome://flags/#unsafely-treat-insecure-origin-as-secure + + + + +## 参考资料 + +vue实现录音参考资料：https://blog.csdn.net/qq_41619796/article/details/107865602#t1 + +前端流式播放音频参考仓库： + +https://github.com/AnthumChris/fetch-stream-audio + +https://bm.enthuses.me/buffered.php?bref=6677 diff --git a/demos/speech_web_demo/speech_server/conf/tts_online_application.yaml b/demos/speech_web_demo/speech_server/conf/tts_online_application.yaml new file mode 100644 index 000000000..0460a5e16 --- /dev/null +++ b/demos/speech_web_demo/speech_server/conf/tts_online_application.yaml @@ -0,0 +1,103 @@ +# This is the parameter configuration file for streaming tts server. + +################################################################################# +# SERVER SETTING # +################################################################################# +host: 0.0.0.0 +port: 8092 + +# The task format in the engin_list is: _ +# engine_list choices = ['tts_online', 'tts_online-onnx'], the inference speed of tts_online-onnx is faster than tts_online. +# protocol choices = ['websocket', 'http'] +protocol: 'http' +engine_list: ['tts_online-onnx'] + + +################################################################################# +# ENGINE CONFIG # +################################################################################# + +################################### TTS ######################################### +################### speech task: tts; engine_type: online ####################### +tts_online: + # am (acoustic model) choices=['fastspeech2_csmsc', 'fastspeech2_cnndecoder_csmsc'] + # fastspeech2_cnndecoder_csmsc support streaming am infer. + am: 'fastspeech2_csmsc' + am_config: + am_ckpt: + am_stat: + phones_dict: + tones_dict: + speaker_dict: + spk_id: 0 + + # voc (vocoder) choices=['mb_melgan_csmsc, hifigan_csmsc'] + # Both mb_melgan_csmsc and hifigan_csmsc support streaming voc inference + voc: 'mb_melgan_csmsc' + voc_config: + voc_ckpt: + voc_stat: + + # others + lang: 'zh' + device: 'cpu' # set 'gpu:id' or 'cpu' + # am_block and am_pad only for fastspeech2_cnndecoder_onnx model to streaming am infer, + # when am_pad set 12, streaming synthetic audio is the same as non-streaming synthetic audio + am_block: 72 + am_pad: 12 + # voc_pad and voc_block voc model to streaming voc infer, + # when voc model is mb_melgan_csmsc, voc_pad set 14, streaming synthetic audio is the same as non-streaming synthetic audio; The minimum value of pad can be set to 7, streaming synthetic audio sounds normal + # when voc model is hifigan_csmsc, voc_pad set 19, streaming synthetic audio is the same as non-streaming synthetic audio; voc_pad set 14, streaming synthetic audio sounds normal + voc_block: 36 + voc_pad: 14 + + + +################################################################################# +# ENGINE CONFIG # +################################################################################# + +################################### TTS ######################################### +################### speech task: tts; engine_type: online-onnx ####################### +tts_online-onnx: + # am (acoustic model) choices=['fastspeech2_csmsc_onnx', 'fastspeech2_cnndecoder_csmsc_onnx'] + # fastspeech2_cnndecoder_csmsc_onnx support streaming am infer. + am: 'fastspeech2_cnndecoder_csmsc_onnx' + # am_ckpt is a list, if am is fastspeech2_cnndecoder_csmsc_onnx, am_ckpt = [encoder model, decoder model, postnet model]; + # if am is fastspeech2_csmsc_onnx, am_ckpt = [ckpt model]; + am_ckpt: # list + am_stat: + phones_dict: + tones_dict: + speaker_dict: + spk_id: 0 + am_sample_rate: 24000 + am_sess_conf: + device: "cpu" # set 'gpu:id' or 'cpu' + use_trt: False + cpu_threads: 4 + + # voc (vocoder) choices=['mb_melgan_csmsc_onnx, hifigan_csmsc_onnx'] + # Both mb_melgan_csmsc_onnx and hifigan_csmsc_onnx support streaming voc inference + voc: 'hifigan_csmsc_onnx' + voc_ckpt: + voc_sample_rate: 24000 + voc_sess_conf: + device: "cpu" # set 'gpu:id' or 'cpu' + use_trt: False + cpu_threads: 4 + + # others + lang: 'zh' + # am_block and am_pad only for fastspeech2_cnndecoder_onnx model to streaming am infer, + # when am_pad set 12, streaming synthetic audio is the same as non-streaming synthetic audio + am_block: 72 + am_pad: 12 + # voc_pad and voc_block voc model to streaming voc infer, + # when voc model is mb_melgan_csmsc_onnx, voc_pad set 14, streaming synthetic audio is the same as non-streaming synthetic audio; The minimum value of pad can be set to 7, streaming synthetic audio sounds normal + # when voc model is hifigan_csmsc_onnx, voc_pad set 19, streaming synthetic audio is the same as non-streaming synthetic audio; voc_pad set 14, streaming synthetic audio sounds normal + voc_block: 36 + voc_pad: 14 + # voc_upsample should be same as n_shift on voc config. + voc_upsample: 300 + diff --git a/demos/speech_web_demo/speech_server/conf/ws_conformer_wenetspeech_application_faster.yaml b/demos/speech_web_demo/speech_server/conf/ws_conformer_wenetspeech_application_faster.yaml new file mode 100644 index 000000000..ba413c802 --- /dev/null +++ b/demos/speech_web_demo/speech_server/conf/ws_conformer_wenetspeech_application_faster.yaml @@ -0,0 +1,48 @@ +# This is the parameter configuration file for PaddleSpeech Serving. + +################################################################################# +# SERVER SETTING # +################################################################################# +host: 0.0.0.0 +port: 8090 + +# The task format in the engin_list is: _ +# task choices = ['asr_online'] +# protocol = ['websocket'] (only one can be selected). +# websocket only support online engine type. +protocol: 'websocket' +engine_list: ['asr_online'] + + +################################################################################# +# ENGINE CONFIG # +################################################################################# + +################################### ASR ######################################### +################### speech task: asr; engine_type: online ####################### +asr_online: + model_type: 'conformer_online_wenetspeech' + am_model: # the pdmodel file of am static model [optional] + am_params: # the pdiparams file of am static model [optional] + lang: 'zh' + sample_rate: 16000 + cfg_path: + decode_method: + force_yes: True + device: 'cpu' # cpu or gpu:id + decode_method: "attention_rescoring" + continuous_decoding: True # enable continue decoding when endpoint detected + num_decoding_left_chunks: 16 + am_predictor_conf: + device: # set 'gpu:id' or 'cpu' + switch_ir_optim: True + glog_info: False # True -> print glog + summary: True # False -> do not show predictor config + + chunk_buffer_conf: + window_n: 7 # frame + shift_n: 4 # frame + window_ms: 25 # ms + shift_ms: 10 # ms + sample_rate: 16000 + sample_width: 2 diff --git a/demos/speech_web_demo/speech_server/main.py b/demos/speech_web_demo/speech_server/main.py new file mode 100644 index 000000000..021f1e16b --- /dev/null +++ b/demos/speech_web_demo/speech_server/main.py @@ -0,0 +1,492 @@ +# todo: +# 1. 开启服务 +# 2. 接收录音音频，返回识别结果 +# 3. 接收ASR识别结果，返回NLP对话结果 +# 4. 接收NLP对话结果，返回TTS音频 + +import base64 +import yaml +import os +import json +import datetime +import librosa +import soundfile as sf +import numpy as np +import argparse +import uvicorn +import aiofiles +from typing import Optional, List +from pydantic import BaseModel +from fastapi import FastAPI, Header, File, UploadFile, Form, Cookie, WebSocket, WebSocketDisconnect +from fastapi.responses import StreamingResponse +from starlette.responses import FileResponse +from starlette.middleware.cors import CORSMiddleware +from starlette.requests import Request +from starlette.websockets import WebSocketState as WebSocketState + +from src.AudioManeger import AudioMannger +from src.util import * +from src.robot import Robot +from src.WebsocketManeger import ConnectionManager +from src.SpeechBase.vpr import VPR + +from paddlespeech.server.engine.asr.online.asr_engine import PaddleASRConnectionHanddler +from paddlespeech.server.utils.audio_process import float2pcm + + +# 解析配置 +parser = argparse.ArgumentParser( + prog='PaddleSpeechDemo', add_help=True) + +parser.add_argument( + "--port", + action="store", + type=int, + help="port of the app", + default=8010, + required=False) + +args = parser.parse_args() +port = args.port + +# 配置文件 +tts_config = "conf/tts_online_application.yaml" +asr_config = "conf/ws_conformer_wenetspeech_application_faster.yaml" +asr_init_path = "source/demo/demo.wav" +db_path = "source/db/vpr.sqlite" +ie_model_path = "source/model" + +# 路径配置 +UPLOAD_PATH = "source/vpr" +WAV_PATH = "source/wav" + + +base_sources = [ + UPLOAD_PATH, WAV_PATH +] +for path in base_sources: + os.makedirs(path, exist_ok=True) + + +# 初始化 +app = FastAPI() +chatbot = Robot(asr_config, tts_config, asr_init_path, ie_model_path=ie_model_path) +manager = ConnectionManager() +aumanager = AudioMannger(chatbot) +aumanager.init() +vpr = VPR(db_path, dim = 192, top_k = 5) + +# 服务配置 +class NlpBase(BaseModel): + chat: str + +class TtsBase(BaseModel): + text: str + +class Audios: + def __init__(self) -> None: + self.audios = b"" + +audios = Audios() + +###################################################################### +########################### ASR 服务 ################################# +##################################################################### + +# 接收文件，返回ASR结果 +# 上传文件 +@app.post("/asr/offline") +async def speech2textOffline(files: List[UploadFile]): + # 只有第一个有效 + asr_res = "" + for file in files[:1]: + # 生成时间戳 + now_name = "asr_offline_" + datetime.datetime.strftime(datetime.datetime.now(), '%Y%m%d%H%M%S') + randName() + ".wav" + out_file_path = os.path.join(WAV_PATH, now_name) + async with aiofiles.open(out_file_path, 'wb') as out_file: + content = await file.read() # async read + await out_file.write(content) # async write + + # 返回ASR识别结果 + asr_res = chatbot.speech2text(out_file_path) + return SuccessRequest(result=asr_res) + # else: + # return ErrorRequest(message="文件不是.wav格式") + return ErrorRequest(message="上传文件为空") + +# 接收文件，同时将wav强制转成16k, int16类型 +@app.post("/asr/offlinefile") +async def speech2textOfflineFile(files: List[UploadFile]): + # 只有第一个有效 + asr_res = "" + for file in files[:1]: + # 生成时间戳 + now_name = "asr_offline_" + datetime.datetime.strftime(datetime.datetime.now(), '%Y%m%d%H%M%S') + randName() + ".wav" + out_file_path = os.path.join(WAV_PATH, now_name) + async with aiofiles.open(out_file_path, 'wb') as out_file: + content = await file.read() # async read + await out_file.write(content) # async write + + # 将文件转成16k, 16bit类型的wav文件 + wav, sr = librosa.load(out_file_path, sr=16000) + wav = float2pcm(wav) # float32 to int16 + wav_bytes = wav.tobytes() # to bytes + wav_base64 = base64.b64encode(wav_bytes).decode('utf8') + + # 将文件重新写入 + now_name = now_name[:-4] + "_16k" + ".wav" + out_file_path = os.path.join(WAV_PATH, now_name) + sf.write(out_file_path,wav,16000) + + # 返回ASR识别结果 + asr_res = chatbot.speech2text(out_file_path) + response_res = { + "asr_result": asr_res, + "wav_base64": wav_base64 + } + return SuccessRequest(result=response_res) + + return ErrorRequest(message="上传文件为空") + + + +# 流式接收测试 +@app.post("/asr/online1") +async def speech2textOnlineRecive(files: List[UploadFile]): + audio_bin = b'' + for file in files: + content = await file.read() + audio_bin += content + audios.audios += audio_bin + print(f"audios长度变化: {len(audios.audios)}") + return SuccessRequest(message="接收成功") + +# 采集环境噪音大小 +@app.post("/asr/collectEnv") +async def collectEnv(files: List[UploadFile]): + for file in files[:1]: + content = await file.read() # async read + # 初始化, wav 前44字节是头部信息 + aumanager.compute_env_volume(content[44:]) + vad_ = aumanager.vad_threshold + return SuccessRequest(result=vad_,message="采集环境噪音成功") + +# 停止录音 +@app.get("/asr/stopRecord") +async def stopRecord(): + audios.audios = b"" + aumanager.stop() + print("Online录音暂停") + return SuccessRequest(message="停止成功") + +# 恢复录音 +@app.get("/asr/resumeRecord") +async def resumeRecord(): + aumanager.resume() + print("Online录音恢复") + return SuccessRequest(message="Online录音恢复") + + +# 聊天用的ASR +@app.websocket("/ws/asr/offlineStream") +async def websocket_endpoint(websocket: WebSocket): + await manager.connect(websocket) + try: + while True: + asr_res = None + # websocket 不接收，只推送 + data = await websocket.receive_bytes() + if not aumanager.is_pause: + asr_res = aumanager.stream_asr(data) + else: + print("录音暂停") + if asr_res: + await manager.send_personal_message(asr_res, websocket) + aumanager.clear_asr() + + except WebSocketDisconnect: + manager.disconnect(websocket) + # await manager.broadcast(f"用户-{user}-离开") + # print(f"用户-{user}-离开") + + +# Online识别的ASR +@app.websocket('/ws/asr/onlineStream') +async def websocket_endpoint(websocket: WebSocket): + """PaddleSpeech Online ASR Server api + + Args: + websocket (WebSocket): the websocket instance + """ + + #1. the interface wait to accept the websocket protocal header + # and only we receive the header, it establish the connection with specific thread + await websocket.accept() + + #2. if we accept the websocket headers, we will get the online asr engine instance + engine = chatbot.asr.engine + + #3. each websocket connection, we will create an PaddleASRConnectionHanddler to process such audio + # and each connection has its own connection instance to process the request + # and only if client send the start signal, we create the PaddleASRConnectionHanddler instance + connection_handler = None + + try: + #4. we do a loop to process the audio package by package according the protocal + # and only if the client send finished signal, we will break the loop + while True: + # careful here, changed the source code from starlette.websockets + # 4.1 we wait for the client signal for the specific action + assert websocket.application_state == WebSocketState.CONNECTED + message = await websocket.receive() + websocket._raise_on_disconnect(message) + + #4.2 text for the action command and bytes for pcm data + if "text" in message: + # we first parse the specific command + message = json.loads(message["text"]) + if 'signal' not in message: + resp = {"status": "ok", "message": "no valid json data"} + await websocket.send_json(resp) + + # start command, we create the PaddleASRConnectionHanddler instance to process the audio data + # end command, we process the all the last audio pcm and return the final result + # and we break the loop + if message['signal'] == 'start': + resp = {"status": "ok", "signal": "server_ready"} + # do something at begining here + # create the instance to process the audio + # connection_handler = chatbot.asr.connection_handler + connection_handler = PaddleASRConnectionHanddler(engine) + await websocket.send_json(resp) + elif message['signal'] == 'end': + # reset single engine for an new connection + # and we will destroy the connection + connection_handler.decode(is_finished=True) + connection_handler.rescoring() + asr_results = connection_handler.get_result() + connection_handler.reset() + + resp = { + "status": "ok", + "signal": "finished", + 'result': asr_results + } + await websocket.send_json(resp) + break + else: + resp = {"status": "ok", "message": "no valid json data"} + await websocket.send_json(resp) + elif "bytes" in message: + # bytes for the pcm data + message = message["bytes"] + print("###############") + print("len message: ", len(message)) + print("###############") + + # we extract the remained audio pcm + # and decode for the result in this package data + connection_handler.extract_feat(message) + connection_handler.decode(is_finished=False) + asr_results = connection_handler.get_result() + + # return the current period result + # if the engine create the vad instance, this connection will have many period results + resp = {'result': asr_results} + print(resp) + await websocket.send_json(resp) + except WebSocketDisconnect: + pass + +###################################################################### +########################### NLP 服务 ################################# +##################################################################### + +@app.post("/nlp/chat") +async def chatOffline(nlp_base:NlpBase): + chat = nlp_base.chat + if not chat: + return ErrorRequest(message="传入文本为空") + else: + res = chatbot.chat(chat) + return SuccessRequest(result=res) + +@app.post("/nlp/ie") +async def ieOffline(nlp_base:NlpBase): + nlp_text = nlp_base.chat + if not nlp_text: + return ErrorRequest(message="传入文本为空") + else: + res = chatbot.ie(nlp_text) + return SuccessRequest(result=res) + +###################################################################### +########################### TTS 服务 ################################# +##################################################################### + +@app.post("/tts/offline") +async def text2speechOffline(tts_base:TtsBase): + text = tts_base.text + if not text: + return ErrorRequest(message="文本为空") + else: + now_name = "tts_"+ datetime.datetime.strftime(datetime.datetime.now(), '%Y%m%d%H%M%S') + randName() + ".wav" + out_file_path = os.path.join(WAV_PATH, now_name) + # 保存为文件，再转成base64传输 + chatbot.text2speech(text, outpath=out_file_path) + with open(out_file_path, "rb") as f: + data_bin = f.read() + base_str = base64.b64encode(data_bin) + return SuccessRequest(result=base_str) + +# http流式TTS +@app.post("/tts/online") +async def stream_tts(request_body: TtsBase): + text = request_body.text + return StreamingResponse(chatbot.text2speechStreamBytes(text=text)) + +# ws流式TTS +@app.websocket("/ws/tts/online") +async def stream_ttsWS(websocket: WebSocket): + await manager.connect(websocket) + try: + while True: + text = await websocket.receive_text() + # 用 websocket 流式接收音频数据 + if text: + for sub_wav in chatbot.text2speechStream(text=text): + # print("发送sub wav: ", len(sub_wav)) + res = { + "wav": sub_wav, + "done": False + } + await websocket.send_json(res) + + # 输送结束 + res = { + "wav": sub_wav, + "done": True + } + await websocket.send_json(res) + # manager.disconnect(websocket) + + except WebSocketDisconnect: + manager.disconnect(websocket) + + +###################################################################### +########################### VPR 服务 ################################# +##################################################################### + +app.add_middleware( + CORSMiddleware, + allow_origins=["*"], + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"]) + + +@app.post('/vpr/enroll') +async def vpr_enroll(table_name: str=None, + spk_id: str=Form(...), + audio: UploadFile=File(...)): + # Enroll the uploaded audio with spk-id into MySQL + try: + if not spk_id: + return {'status': False, 'msg': "spk_id can not be None"} + # Save the upload data to server. + content = await audio.read() + now_name = "vpr_enroll_" + datetime.datetime.strftime(datetime.datetime.now(), '%Y%m%d%H%M%S') + randName() + ".wav" + audio_path = os.path.join(UPLOAD_PATH, now_name) + + with open(audio_path, "wb+") as f: + f.write(content) + vpr.vpr_enroll(username=spk_id, wav_path=audio_path) + return {'status': True, 'msg': "Successfully enroll data!"} + except Exception as e: + return {'status': False, 'msg': e} + + +@app.post('/vpr/recog') +async def vpr_recog(request: Request, + table_name: str=None, + audio: UploadFile=File(...)): + # Voice print recognition online + # try: + # Save the upload data to server. + content = await audio.read() + now_name = "vpr_query_" + datetime.datetime.strftime(datetime.datetime.now(), '%Y%m%d%H%M%S') + randName() + ".wav" + query_audio_path = os.path.join(UPLOAD_PATH, now_name) + with open(query_audio_path, "wb+") as f: + f.write(content) + spk_ids, paths, scores = vpr.do_search_vpr(query_audio_path) + + res = dict(zip(spk_ids, zip(paths, scores))) + # Sort results by distance metric, closest distances first + res = sorted(res.items(), key=lambda item: item[1][1], reverse=True) + return res + # except Exception as e: + # return {'status': False, 'msg': e}, 400 + + +@app.post('/vpr/del') +async def vpr_del(spk_id: dict=None): + # Delete a record by spk_id in MySQL + try: + spk_id = spk_id['spk_id'] + if not spk_id: + return {'status': False, 'msg': "spk_id can not be None"} + vpr.vpr_del(username=spk_id) + return {'status': True, 'msg': "Successfully delete data!"} + except Exception as e: + return {'status': False, 'msg': e}, 400 + + +@app.get('/vpr/list') +async def vpr_list(): + # Get all records in MySQL + try: + spk_ids, vpr_ids = vpr.do_list() + return spk_ids, vpr_ids + except Exception as e: + return {'status': False, 'msg': e}, 400 + + +@app.get('/vpr/database64') +async def vpr_database64(vprId: int): + # Get the audio file from path by spk_id in MySQL + try: + if not vprId: + return {'status': False, 'msg': "vpr_id can not be None"} + audio_path = vpr.do_get_wav(vprId) + # 返回base64 + + # 将文件转成16k, 16bit类型的wav文件 + wav, sr = librosa.load(audio_path, sr=16000) + wav = float2pcm(wav) # float32 to int16 + wav_bytes = wav.tobytes() # to bytes + wav_base64 = base64.b64encode(wav_bytes).decode('utf8') + + return SuccessRequest(result=wav_base64) + except Exception as e: + return {'status': False, 'msg': e}, 400 + +@app.get('/vpr/data') +async def vpr_data(vprId: int): + # Get the audio file from path by spk_id in MySQL + try: + if not vprId: + return {'status': False, 'msg': "vpr_id can not be None"} + audio_path = vpr.do_get_wav(vprId) + return FileResponse(audio_path) + except Exception as e: + return {'status': False, 'msg': e}, 400 + +if __name__ == '__main__': + uvicorn.run(app=app, host='0.0.0.0', port=port) + + + + + + diff --git a/demos/speech_web_demo/speech_server/requirements.txt b/demos/speech_web_demo/speech_server/requirements.txt new file mode 100644 index 000000000..7e7bd1680 --- /dev/null +++ b/demos/speech_web_demo/speech_server/requirements.txt @@ -0,0 +1,14 @@ +aiofiles +fastapi +librosa +numpy +pydantic +scikit_learn +SoundFile +starlette +uvicorn +paddlepaddle +paddlespeech +paddlenlp +faiss-cpu +python-multipart \ No newline at end of file diff --git a/demos/speech_web_demo/speech_server/src/AudioManeger.py b/demos/speech_web_demo/speech_server/src/AudioManeger.py new file mode 100644 index 000000000..5cf1296a3 --- /dev/null +++ b/demos/speech_web_demo/speech_server/src/AudioManeger.py @@ -0,0 +1,173 @@ +import imp +from queue import Queue +import numpy as np +import os +import wave +import random +import datetime +from .util import randName + + +class AudioMannger: + def __init__(self, robot, frame_length=160, frame=10, data_width=2, vad_default = 300): + # 二进制 pcm 流 + self.audios = b'' + self.asr_result = "" + # Speech 核心主体 + self.robot = robot + + self.file_dir = "source" + os.makedirs(self.file_dir, exist_ok=True) + self.vad_deafult = vad_default + self.vad_threshold = vad_default + self.vad_threshold_path = os.path.join(self.file_dir, "vad_threshold.npy") + + # 10ms 一帧 + self.frame_length = frame_length + # 10帧，检测一次 vad + self.frame = frame + # int 16, 两个bytes + self.data_width = data_width + # window + self.window_length = frame_length * frame * data_width + + # 是否开始录音 + self.on_asr = False + self.silence_cnt = 0 + self.max_silence_cnt = 4 + self.is_pause = False # 录音暂停与恢复 + + + + def init(self): + if os.path.exists(self.vad_threshold_path): + # 平均响度文件存在 + self.vad_threshold = np.load(self.vad_threshold_path) + + + def clear_audio(self): + # 清空 pcm 累积片段与 asr 识别结果 + self.audios = b'' + + def clear_asr(self): + self.asr_result = "" + + + def compute_chunk_volume(self, start_index, pcm_bins): + # 根据帧长计算能量平均值 + pcm_bin = pcm_bins[start_index: start_index + self.window_length] + # 转成 numpy + pcm_np = np.frombuffer(pcm_bin, np.int16) + # 归一化 + 计算响度 + x = pcm_np.astype(np.float32) + x = np.abs(x) + return np.mean(x) + + + def is_speech(self, start_index, pcm_bins): + # 检查是否没 + if start_index > len(pcm_bins): + return False + # 检查从这个 start 开始是否为静音帧 + energy = self.compute_chunk_volume(start_index=start_index, pcm_bins=pcm_bins) + # print(energy) + if energy > self.vad_threshold: + return True + else: + return False + + def compute_env_volume(self, pcm_bins): + max_energy = 0 + start = 0 + while start < len(pcm_bins): + energy = self.compute_chunk_volume(start_index=start, pcm_bins=pcm_bins) + if energy > max_energy: + max_energy = energy + start += self.window_length + self.vad_threshold = max_energy + 100 if max_energy > self.vad_deafult else self.vad_deafult + + # 保存成文件 + np.save(self.vad_threshold_path, self.vad_threshold) + print(f"vad 阈值大小: {self.vad_threshold}") + print(f"环境采样保存: {os.path.realpath(self.vad_threshold_path)}") + + def stream_asr(self, pcm_bin): + # 先把 pcm_bin 送进去做端点检测 + start = 0 + while start < len(pcm_bin): + if self.is_speech(start_index=start, pcm_bins=pcm_bin): + self.on_asr = True + self.silence_cnt = 0 + print("录音中") + self.audios += pcm_bin[ start : start + self.window_length] + else: + if self.on_asr: + self.silence_cnt += 1 + if self.silence_cnt > self.max_silence_cnt: + self.on_asr = False + self.silence_cnt = 0 + # 录音停止 + print("录音停止") + # audios 保存为 wav, 送入 ASR + if len(self.audios) > 2 * 16000: + file_path = os.path.join(self.file_dir, "asr_" + datetime.datetime.strftime(datetime.datetime.now(), '%Y%m%d%H%M%S') + randName() + ".wav") + self.save_audio(file_path=file_path) + self.asr_result = self.robot.speech2text(file_path) + self.clear_audio() + return self.asr_result + else: + # 正常接收 + print("录音中 静音") + self.audios += pcm_bin[ start : start + self.window_length] + start += self.window_length + return "" + + def save_audio(self, file_path): + print("保存音频") + wf = wave.open(file_path, 'wb') # 创建一个音频文件，名字为“01.wav" + wf.setnchannels(1) # 设置声道数为2 + wf.setsampwidth(2) # 设置采样深度为 + wf.setframerate(16000) # 设置采样率为16000 + # 将数据写入创建的音频文件 + wf.writeframes(self.audios) + # 写完后将文件关闭 + wf.close() + + def end(self): + # audios 保存为 wav, 送入 ASR + file_path = os.path.join(self.file_dir, "asr.wav") + self.save_audio(file_path=file_path) + return self.robot.speech2text(file_path) + + def stop(self): + self.is_pause = True + self.audios = b'' + + def resume(self): + self.is_pause = False + + +if __name__ == '__main__': + from robot import Robot + + chatbot = Robot() + chatbot.init() + audio_manger = AudioMannger(chatbot) + + file_list = [ + "source/20220418145230qbenc.pcm", + ] + + for file in file_list: + with open(file, "rb") as f: + pcm_bin = f.read() + print(len(pcm_bin)) + asr_ = audio_manger.stream_asr(pcm_bin=pcm_bin) + print(asr_) + + print(audio_manger.end()) + + print(chatbot.speech2text("source/20220418145230zrxia.wav")) + + + \ No newline at end of file diff --git a/demos/speech_web_demo/speech_server/src/SpeechBase/asr.py b/demos/speech_web_demo/speech_server/src/SpeechBase/asr.py new file mode 100644 index 000000000..4563d3ed8 --- /dev/null +++ b/demos/speech_web_demo/speech_server/src/SpeechBase/asr.py @@ -0,0 +1,87 @@ +from re import sub +import numpy as np +import paddle +import librosa +import soundfile + +from paddlespeech.server.engine.asr.online.asr_engine import ASREngine +from paddlespeech.server.engine.asr.online.asr_engine import PaddleASRConnectionHanddler +from paddlespeech.server.utils.config import get_config + +def readWave(samples): + x_len = len(samples) + + chunk_size = 85 * 16 #80ms, sample_rate = 16kHz + if x_len % chunk_size != 0: + padding_len_x = chunk_size - x_len % chunk_size + else: + padding_len_x = 0 + + padding = np.zeros((padding_len_x), dtype=samples.dtype) + padded_x = np.concatenate([samples, padding], axis=0) + + assert (x_len + padding_len_x) % chunk_size == 0 + num_chunk = (x_len + padding_len_x) / chunk_size + num_chunk = int(num_chunk) + for i in range(0, num_chunk): + start = i * chunk_size + end = start + chunk_size + x_chunk = padded_x[start:end] + yield x_chunk + + +class ASR: + def __init__(self, config_path, ) -> None: + self.config = get_config(config_path)['asr_online'] + self.engine = ASREngine() + self.engine.init(self.config) + self.connection_handler = PaddleASRConnectionHanddler(self.engine) + + def offlineASR(self, samples, sample_rate=16000): + x_chunk, x_chunk_lens = self.engine.preprocess(samples=samples, sample_rate=sample_rate) + self.engine.run(x_chunk, x_chunk_lens) + result = self.engine.postprocess() + self.engine.reset() + return result + + def onlineASR(self, samples:bytes=None, is_finished=False): + if not is_finished: + # 流式开始 + self.connection_handler.extract_feat(samples) + self.connection_handler.decode(is_finished) + asr_results = self.connection_handler.get_result() + return asr_results + else: + # 流式结束 + self.connection_handler.decode(is_finished=True) + self.connection_handler.rescoring() + asr_results = self.connection_handler.get_result() + self.connection_handler.reset() + return asr_results + + +if __name__ == '__main__': + config_path = r"../../PaddleSpeech/paddlespeech/server/conf/ws_conformer_application.yaml" + + wav_path = r"../../source/demo/demo_16k.wav" + samples, sample_rate = soundfile.read(wav_path, dtype='int16') + + asr = ASR(config_path=config_path) + end_result = asr.offlineASR(samples=samples, sample_rate=sample_rate) + print("端到端识别结果：", end_result) + + for sub_wav in readWave(samples=samples): + # print(sub_wav) + message = sub_wav.tobytes() + offline_result = asr.onlineASR(message, is_finished=False) + print("流式识别结果: ", offline_result) + offline_result = asr.onlineASR(is_finished=True) + print("流式识别结果: ", offline_result) + + + + + + + + \ No newline at end of file diff --git a/demos/speech_web_demo/speech_server/src/SpeechBase/nlp.py b/demos/speech_web_demo/speech_server/src/SpeechBase/nlp.py new file mode 100644 index 000000000..3bf2c7644 --- /dev/null +++ b/demos/speech_web_demo/speech_server/src/SpeechBase/nlp.py @@ -0,0 +1,28 @@ +from paddlenlp import Taskflow + +class NLP: + def __init__(self, ie_model_path=None): + schema = ["时间", "出发地", "目的地", "费用"] + if ie_model_path: + self.ie_model = Taskflow("information_extraction", + schema=schema, task_path=ie_model_path) + else: + self.ie_model = Taskflow("information_extraction", + schema=schema) + + self.dialogue_model = Taskflow("dialogue") + + def chat(self, text): + result = self.dialogue_model([text]) + return result[0] + + def ie(self, text): + result = self.ie_model(text) + return result + +if __name__ == '__main__': + ie_model_path = "../../source/model/" + nlp = NLP(ie_model_path=ie_model_path) + text = "今天早上我从大牛坊去百度科技园花了七百块钱" + print(nlp.ie(text)) + \ No newline at end of file diff --git a/demos/speech_web_demo/speech_server/src/SpeechBase/sql_helper.py b/demos/speech_web_demo/speech_server/src/SpeechBase/sql_helper.py new file mode 100644 index 000000000..c398fa2a6 --- /dev/null +++ b/demos/speech_web_demo/speech_server/src/SpeechBase/sql_helper.py @@ -0,0 +1,152 @@ +import base64 +import sqlite3 +import os +import numpy as np +from pkg_resources import resource_stream + + +def dict_factory(cursor, row): + d = {} + for idx, col in enumerate(cursor.description): + d[col[0]] = row[idx] + return d + +class DataBase(object): + def __init__(self, db_path:str): + db_path = os.path.realpath(db_path) + + if os.path.exists(db_path): + self.db_path = db_path + else: + db_path_dir = os.path.dirname(db_path) + os.makedirs(db_path_dir, exist_ok=True) + self.db_path = db_path + + self.conn = sqlite3.connect(self.db_path) + self.conn.row_factory = dict_factory + self.cursor = self.conn.cursor() + self.init_database() + + def init_database(self): + """ + 初始化数据库， 若表不存在则创建 + """ + sql = """ + CREATE TABLE IF NOT EXISTS vprtable ( + `id` INTEGER PRIMARY KEY AUTOINCREMENT, + `username` TEXT NOT NULL, + `vector` TEXT NOT NULL, + `wavpath` TEXT NOT NULL + ); + """ + self.cursor.execute(sql) + self.conn.commit() + + def execute_base(self, sql, data_dict): + self.cursor.execute(sql, data_dict) + self.conn.commit() + + def insert_one(self, username, vector_base64:str, wav_path): + if not os.path.exists(wav_path): + return None, "wav not exists" + else: + sql = f""" + insert into + vprtable (username, vector, wavpath) + values (?, ?, ?) + """ + try: + self.cursor.execute(sql, (username, vector_base64, wav_path)) + self.conn.commit() + lastidx = self.cursor.lastrowid + return lastidx, "data insert success" + except Exception as e: + print(e) + return None, e + + def select_all(self): + sql = """ + SELECT * from vprtable + """ + result = self.cursor.execute(sql).fetchall() + return result + + def select_by_id(self, vpr_id): + sql = f""" + SELECT * from vprtable WHERE `id` = {vpr_id} + """ + result = self.cursor.execute(sql).fetchall() + return result + + def select_by_username(self, username): + sql = f""" + SELECT * from vprtable WHERE `username` = '{username}' + """ + result = self.cursor.execute(sql).fetchall() + return result + + def drop_by_username(self, username): + sql = f""" + DELETE from vprtable WHERE `username`='{username}' + """ + self.cursor.execute(sql) + self.conn.commit() + + def drop_all(self): + sql = f""" + DELETE from vprtable + """ + self.cursor.execute(sql) + self.conn.commit() + + def drop_table(self): + sql = f""" + DROP TABLE vprtable + """ + self.cursor.execute(sql) + self.conn.commit() + + def encode_vector(self, vector:np.ndarray): + return base64.b64encode(vector).decode('utf8') + + def decode_vector(self, vector_base64, dtype=np.float32): + b = base64.b64decode(vector_base64) + vc = np.frombuffer(b, dtype=dtype) + return vc + +if __name__ == '__main__': + db_path = "../../source/db/vpr.sqlite" + db = DataBase(db_path) + + # 准备数据 + import numpy as np + vector = np.random.randn((192)).astype(np.float32).tobytes() + vector_base64 = base64.b64encode(vector).decode('utf8') + username = "sss" + wav_path = r"../../source/demo/demo_16k.wav" + + # 插入数据 + db.insert_one(username, vector_base64, wav_path) + + # 查询数据 + res_all = db.select_all() + print("res_all: ", res_all) + + s_id = res_all[0]['id'] + res_id = db.select_by_id(s_id) + print("res_id: ", res_id) + + res_uername = db.select_by_username(username) + print("res_username: ", res_uername) + + # base64还原 + b = base64.b64decode(res_uername[0]['vector']) + vc = np.frombuffer(b, dtype=np.float32) + print(vc) + + # 删除数据 + db.drop_by_username(username) + res_all = db.select_all() + print("删除后 res_all: ", res_all) + db.drop_all() + \ No newline at end of file diff --git a/demos/speech_web_demo/speech_server/src/SpeechBase/tts.py b/demos/speech_web_demo/speech_server/src/SpeechBase/tts.py new file mode 100644 index 000000000..5cf53a025 --- /dev/null +++ b/demos/speech_web_demo/speech_server/src/SpeechBase/tts.py @@ -0,0 +1,121 @@ +# tts 推理引擎，支持流式与非流式 +# 精简化使用 +# 用 onnxruntime 进行推理 +# 1. 下载对应的模型 +# 2. 加载模型 +# 3. 端到端推理 +# 4. 流式推理 + +import base64 + +import numpy as np +from paddlespeech.server.utils.onnx_infer import get_sess +from paddlespeech.t2s.frontend.zh_frontend import Frontend +from paddlespeech.server.utils.util import denorm, get_chunks +from paddlespeech.server.utils.audio_process import float2pcm +from paddlespeech.server.utils.config import get_config + +from paddlespeech.server.engine.tts.online.onnx.tts_engine import TTSEngine + + +class TTS: + def __init__(self, config_path): + self.config = get_config(config_path)['tts_online-onnx'] + self.config['voc_block'] = 36 + self.engine = TTSEngine() + self.engine.init(self.config) + self.engine.warm_up() + + # 前端初始化 + self.frontend = Frontend( + phone_vocab_path=self.engine.executor.phones_dict, + tone_vocab_path=None) + + def depadding(self, data, chunk_num, chunk_id, block, pad, upsample): + """ + Streaming inference removes the result of pad inference + """ + front_pad = min(chunk_id * block, pad) + # first chunk + if chunk_id == 0: + data = data[:block * upsample] + # last chunk + elif chunk_id == chunk_num - 1: + data = data[front_pad * upsample:] + # middle chunk + else: + data = data[front_pad * upsample:(front_pad + block) * upsample] + + return data + + def offlineTTS(self, text): + get_tone_ids = False + merge_sentences = False + + input_ids = self.frontend.get_input_ids( + text, + merge_sentences=merge_sentences, + get_tone_ids=get_tone_ids) + phone_ids = input_ids["phone_ids"] + wav_list = [] + for i in range(len(phone_ids)): + orig_hs = self.engine.executor.am_encoder_infer_sess.run( + None, input_feed={'text': phone_ids[i].numpy()} + ) + hs = orig_hs[0] + am_decoder_output = self.engine.executor.am_decoder_sess.run( + None, input_feed={'xs': hs}) + am_postnet_output = self.engine.executor.am_postnet_sess.run( + None, + input_feed={ + 'xs': np.transpose(am_decoder_output[0], (0, 2, 1)) + }) + am_output_data = am_decoder_output + np.transpose( + am_postnet_output[0], (0, 2, 1)) + normalized_mel = am_output_data[0][0] + mel = denorm(normalized_mel, self.engine.executor.am_mu, self.engine.executor.am_std) + wav = self.engine.executor.voc_sess.run( + output_names=None, input_feed={'logmel': mel})[0] + wav_list.append(wav) + wavs = np.concatenate(wav_list) + return wavs + + def streamTTS(self, text): + for sub_wav_base64 in self.engine.run(sentence=text): + yield sub_wav_base64 + + def streamTTSBytes(self, text): + for wav in self.engine.executor.infer( + text=text, + lang=self.engine.config.lang, + am=self.engine.config.am, + spk_id=0): + wav = float2pcm(wav) # float32 to int16 + wav_bytes = wav.tobytes() # to bytes + yield wav_bytes + + + def after_process(self, wav): + # for tvm + wav = float2pcm(wav) # float32 to int16 + wav_bytes = wav.tobytes() # to bytes + wav_base64 = base64.b64encode(wav_bytes).decode('utf8') # to base64 + return wav_base64 + + def streamTTS_TVM(self, text): + # 用 TVM 优化 + pass + +if __name__ == '__main__': + text = "啊哈哈哈哈哈哈啊哈哈哈哈哈哈啊哈哈哈哈哈哈啊哈哈哈哈哈哈啊哈哈哈哈哈哈" + config_path="../../PaddleSpeech/demos/streaming_tts_server/conf/tts_online_application.yaml" + tts = TTS(config_path) + + for sub_wav in tts.streamTTS(text): + print("sub_wav_base64: ", len(sub_wav)) + + end_wav = tts.offlineTTS(text) + print(end_wav) + + + \ No newline at end of file diff --git a/demos/speech_web_demo/speech_server/src/SpeechBase/vpr.py b/demos/speech_web_demo/speech_server/src/SpeechBase/vpr.py new file mode 100644 index 000000000..8b3863e8b --- /dev/null +++ b/demos/speech_web_demo/speech_server/src/SpeechBase/vpr.py @@ -0,0 +1,152 @@ +# vpr Demo 没有使用 mysql 与 muilvs, 仅用于docker演示 +import logging +import faiss +from matplotlib import use +import numpy as np +from .sql_helper import DataBase +from .vpr_encode import get_audio_embedding + +class VPR: + def __init__(self, db_path, dim, top_k) -> None: + # 初始化 + self.db_path = db_path + self.dim = dim + self.top_k = top_k + self.dtype = np.float32 + self.vpr_idx = 0 + + # db 初始化 + self.db = DataBase(db_path) + + # faiss 初始化 + index_ip = faiss.IndexFlatIP(dim) + self.index_ip = faiss.IndexIDMap(index_ip) + self.init() + + def init(self): + # demo 初始化，把 mysql中的向量注册到 faiss 中 + sql_dbs = self.db.select_all() + if sql_dbs: + for sql_db in sql_dbs: + idx = sql_db['id'] + vc_bs64 = sql_db['vector'] + vc = self.db.decode_vector(vc_bs64) + if len(vc.shape) == 1: + vc = np.expand_dims(vc, axis=0) + # 构建数据库 + self.index_ip.add_with_ids(vc, np.array((idx,)).astype('int64')) + logging.info("faiss 构建完毕") + + def faiss_enroll(self, idx, vc): + self.index_ip.add_with_ids(vc, np.array((idx,)).astype('int64')) + + def vpr_enroll(self, username, wav_path): + # 注册声纹 + emb = get_audio_embedding(wav_path) + emb = np.expand_dims(emb, axis=0) + if emb is not None: + emb_bs64 = self.db.encode_vector(emb) + last_idx, mess = self.db.insert_one(username, emb_bs64, wav_path) + if last_idx: + # faiss 注册 + self.faiss_enroll(last_idx, emb) + else: + last_idx, mess = None + return last_idx + + def vpr_recog(self, wav_path): + # 识别声纹 + emb_search = get_audio_embedding(wav_path) + + if emb_search is not None: + emb_search = np.expand_dims(emb_search, axis=0) + D, I = self.index_ip.search(emb_search, self.top_k) + D = D.tolist()[0] + I = I.tolist()[0] + return [(round(D[i] * 100, 2 ), I[i]) for i in range(len(D)) if I[i] != -1] + else: + logging.error("识别失败") + return None + + def do_search_vpr(self, wav_path): + spk_ids, paths, scores = [], [], [] + recog_result = self.vpr_recog(wav_path) + for score, idx in recog_result: + username = self.db.select_by_id(idx)[0]['username'] + if username not in spk_ids: + spk_ids.append(username) + scores.append(score) + paths.append("") + return spk_ids, paths, scores + + def vpr_del(self, username): + # 根据用户username, 删除声纹 + # 查用户ID，删除对应向量 + res = self.db.select_by_username(username) + for r in res: + idx = r['id'] + self.index_ip.remove_ids(np.array((idx,)).astype('int64')) + + self.db.drop_by_username(username) + + def vpr_list(self): + # 获取数据列表 + return self.db.select_all() + + def do_list(self): + spk_ids, vpr_ids = [], [] + for res in self.db.select_all(): + spk_ids.append(res['username']) + vpr_ids.append(res['id']) + return spk_ids, vpr_ids + + def do_get_wav(self, vpr_idx): + res = self.db.select_by_id(vpr_idx) + return res[0]['wavpath'] + + + def vpr_data(self, idx): + # 获取对应ID的数据 + res = self.db.select_by_id(idx) + return res + + def vpr_droptable(self): + # 删除表 + self.db.drop_table() + # 清空 faiss + self.index_ip.reset() + + + +if __name__ == '__main__': + + db_path = "../../source/db/vpr.sqlite" + dim = 192 + top_k = 5 + vpr = VPR(db_path, dim, top_k) + + # 准备测试数据 + username = "sss" + wav_path = r"../../source/demo/demo_16k.wav" + + # 注册声纹 + vpr.vpr_enroll(username, wav_path) + + # 获取数据 + print(vpr.vpr_list()) + + # 识别声纹 + recolist = vpr.vpr_recog(wav_path) + print(recolist) + + # 通过 id 获取数据 + idx = recolist[0][1] + print(vpr.vpr_data(idx)) + + # 删除声纹 + vpr.vpr_del(username) + vpr.vpr_droptable() + + + + \ No newline at end of file diff --git a/demos/speech_web_demo/speech_server/src/SpeechBase/vpr_encode.py b/demos/speech_web_demo/speech_server/src/SpeechBase/vpr_encode.py new file mode 100644 index 000000000..5a6421336 --- /dev/null +++ b/demos/speech_web_demo/speech_server/src/SpeechBase/vpr_encode.py @@ -0,0 +1,26 @@ +from paddlespeech.cli import VectorExecutor +import numpy as np +import logging + +vector_executor = VectorExecutor() + +def get_audio_embedding(path): + """ + Use vpr_inference to generate embedding of audio + """ + try: + embedding = vector_executor( + audio_file=path, model='ecapatdnn_voxceleb12') + embedding = embedding / np.linalg.norm(embedding) + return embedding + except Exception as e: + logging.error(f"Error with embedding:{e}") + return None + +if __name__ == '__main__': + audio_path = r"../../source/demo/demo_16k.wav" + emb = get_audio_embedding(audio_path) + print(emb.shape) + print(emb.dtype) + print(type(emb)) + \ No newline at end of file diff --git a/demos/speech_web_demo/speech_server/src/WebsocketManeger.py b/demos/speech_web_demo/speech_server/src/WebsocketManeger.py new file mode 100644 index 000000000..5edde8430 --- /dev/null +++ b/demos/speech_web_demo/speech_server/src/WebsocketManeger.py @@ -0,0 +1,31 @@ +from typing import List + +from fastapi import WebSocket + +class ConnectionManager: + def __init__(self): + # 存放激活的ws连接对象 + self.active_connections: List[WebSocket] = [] + + async def connect(self, ws: WebSocket): + # 等待连接 + await ws.accept() + # 存储ws连接对象 + self.active_connections.append(ws) + + def disconnect(self, ws: WebSocket): + # 关闭时 移除ws对象 + self.active_connections.remove(ws) + + @staticmethod + async def send_personal_message(message: str, ws: WebSocket): + # 发送个人消息 + await ws.send_text(message) + + async def broadcast(self, message: str): + # 广播消息 + for connection in self.active_connections: + await connection.send_text(message) + + +manager = ConnectionManager() \ No newline at end of file diff --git a/demos/speech_web_demo/speech_server/src/robot.py b/demos/speech_web_demo/speech_server/src/robot.py new file mode 100644 index 000000000..05ac867ec --- /dev/null +++ b/demos/speech_web_demo/speech_server/src/robot.py @@ -0,0 +1,93 @@ +from paddlespeech.cli.asr.infer import ASRExecutor +import soundfile as sf +import os +import librosa + +from src.SpeechBase.asr import ASR +from src.SpeechBase.tts import TTS +from src.SpeechBase.nlp import NLP + + +class Robot: + def __init__(self, asr_config, tts_config,asr_init_path, + ie_model_path=None) -> None: + self.nlp = NLP(ie_model_path=ie_model_path) + self.asr = ASR(config_path=asr_config) + self.tts = TTS(config_path=tts_config) + self.tts_sample_rate = 24000 + self.asr_sample_rate = 16000 + + # 流式识别效果不如端到端的模型，这里流式模型与端到端模型分开 + self.asr_model = ASRExecutor() + self.asr_name = "conformer_wenetspeech" + self.warm_up_asrmodel(asr_init_path) + + + def warm_up_asrmodel(self, asr_init_path): + if not os.path.exists(asr_init_path): + path_dir = os.path.dirname(asr_init_path) + if not os.path.exists(path_dir): + os.makedirs(path_dir, exist_ok=True) + + # TTS生成，采样率24000 + text = "生成初始音频" + self.text2speech(text, asr_init_path) + + # asr model初始化 + self.asr_model(asr_init_path, model=self.asr_name,lang='zh', + sample_rate=16000) + + + def speech2text(self, audio_file): + self.asr_model.preprocess(self.asr_name, audio_file) + self.asr_model.infer(self.asr_name) + res = self.asr_model.postprocess() + return res + + def text2speech(self, text, outpath): + wav = self.tts.offlineTTS(text) + sf.write( + outpath, wav, samplerate=self.tts_sample_rate) + res = wav + return res + + def text2speechStream(self, text): + for sub_wav_base64 in self.tts.streamTTS(text=text): + yield sub_wav_base64 + + def text2speechStreamBytes(self, text): + for wav_bytes in self.tts.streamTTSBytes(text=text): + yield wav_bytes + + def chat(self, text): + result = self.nlp.chat(text) + return result + + def ie(self, text): + result = self.nlp.ie(text) + return result + +if __name__ == '__main__': + tts_config = "../PaddleSpeech/demos/streaming_tts_server/conf/tts_online_application.yaml" + asr_config = "../PaddleSpeech/demos/streaming_asr_server/conf/ws_conformer_application.yaml" + demo_wav = "../source/demo/demo_16k.wav" + ie_model_path = "../source/model" + tts_wav = "../source/demo/tts.wav" + text = "今天天气真不错" + ie_text = "今天晚上我从大牛坊出发去三里屯花了六十五块钱" + + + robot = Robot(asr_config, tts_config, asr_init_path=demo_wav) + res = robot.speech2text(demo_wav) + print(res) + + res = robot.chat(text) + print(res) + print("tts offline") + robot.text2speech(res, tts_wav) + + print("ie test") + res = robot.ie(ie_text) + print(res) + + \ No newline at end of file diff --git a/demos/speech_web_demo/speech_server/src/util.py b/demos/speech_web_demo/speech_server/src/util.py new file mode 100644 index 000000000..34005d919 --- /dev/null +++ b/demos/speech_web_demo/speech_server/src/util.py @@ -0,0 +1,18 @@ +import random + +def randName(n=5): + return "".join(random.sample('zyxwvutsrqponmlkjihgfedcba',n)) + +def SuccessRequest(result=None, message="ok"): + return { + "code": 0, + "result":result, + "message": message + } + +def ErrorRequest(result=None, message="error"): + return { + "code": -1, + "result":result, + "message": message + } \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/.gitignore b/demos/speech_web_demo/web_client/.gitignore new file mode 100644 index 000000000..e33435dce --- /dev/null +++ b/demos/speech_web_demo/web_client/.gitignore @@ -0,0 +1,25 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +dist +dist-ssr +*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? +.vscode/* diff --git a/demos/speech_web_demo/web_client/README.md b/demos/speech_web_demo/web_client/README.md new file mode 100644 index 000000000..c0793a823 --- /dev/null +++ b/demos/speech_web_demo/web_client/README.md @@ -0,0 +1,7 @@ +# Vue 3 + Vite + +This template should help get you started developing with Vue 3 in Vite. The template uses Vue 3 ` + + diff --git a/demos/speech_web_demo/web_client/package-lock.json b/demos/speech_web_demo/web_client/package-lock.json new file mode 100644 index 000000000..f1c779782 --- /dev/null +++ b/demos/speech_web_demo/web_client/package-lock.json @@ -0,0 +1,1869 @@ +{ + "name": "paddlespeechwebclient", + "version": "0.0.0", + "lockfileVersion": 2, + "requires": true, + "packages": { + "": { + "name": "paddlespeechwebclient", + "version": "0.0.0", + "dependencies": { + "ant-design-vue": "^2.2.8", + "axios": "^0.26.1", + "element-plus": "^2.1.9", + "js-audio-recorder": "0.5.7", + "lamejs": "^1.2.1", + "less": "^4.1.2", + "vue": "^3.2.25" + }, + "devDependencies": { + "@vitejs/plugin-vue": "^2.3.0", + "vite": "^2.9.0" + } + }, + "node_modules/@ant-design/colors": { + "version": "6.0.0", + "resolved": "https://registry.npmmirror.com/@ant-design/colors/-/colors-6.0.0.tgz", + "integrity": "sha512-qAZRvPzfdWHtfameEGP2Qvuf838NhergR35o+EuVyB5XvSA98xod5r4utvi4TJ3ywmevm290g9nsCG5MryrdWQ==", + "dependencies": { + "@ctrl/tinycolor": "^3.4.0" + } + }, + "node_modules/@ant-design/icons-svg": { + "version": "4.2.1", + "resolved": "https://registry.npmmirror.com/@ant-design/icons-svg/-/icons-svg-4.2.1.tgz", + "integrity": "sha512-EB0iwlKDGpG93hW8f85CTJTs4SvMX7tt5ceupvhALp1IF44SeUFOMhKUOYqpsoYWQKAOuTRDMqn75rEaKDp0Xw==" + }, + "node_modules/@ant-design/icons-vue": { + "version": "6.1.0", + "resolved": "https://registry.npmmirror.com/@ant-design/icons-vue/-/icons-vue-6.1.0.tgz", + "integrity": "sha512-EX6bYm56V+ZrKN7+3MT/ubDkvJ5rK/O2t380WFRflDcVFgsvl3NLH7Wxeau6R8DbrO5jWR6DSTC3B6gYFp77AA==", + "dependencies": { + "@ant-design/colors": "^6.0.0", + "@ant-design/icons-svg": "^4.2.1" + }, + "peerDependencies": { + "vue": ">=3.0.3" + } + }, + "node_modules/@babel/parser": { + "version": "7.17.9", + "resolved": "https://registry.npmmirror.com/@babel/parser/-/parser-7.17.9.tgz", + "integrity": "sha512-vqUSBLP8dQHFPdPi9bc5GK9vRkYHJ49fsZdtoJ8EQ8ibpwk5rPKfvNIwChB0KVXcIjcepEBBd2VHC5r9Gy8ueg==", + "license": "MIT", + "bin": { + "parser": "bin/babel-parser.js" + }, + "engines": { + "node": ">=6.0.0" + } + }, + "node_modules/@babel/runtime": { + "version": "7.17.9", + "resolved": "https://registry.npmmirror.com/@babel/runtime/-/runtime-7.17.9.tgz", + "integrity": "sha512-lSiBBvodq29uShpWGNbgFdKYNiFDo5/HIYsaCEY9ff4sb10x9jizo2+pRrSyF4jKZCXqgzuqBOQKbUm90gQwJg==", + "dependencies": { + "regenerator-runtime": "^0.13.4" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@ctrl/tinycolor": { + "version": "3.4.1", + "resolved": "https://registry.npmmirror.com/@ctrl/tinycolor/-/tinycolor-3.4.1.tgz", + "integrity": "sha512-ej5oVy6lykXsvieQtqZxCOaLT+xD4+QNarq78cIYISHmZXshCvROLudpQN3lfL8G0NL7plMSSK+zlyvCaIJ4Iw==", + "license": "MIT", + "engines": { + "node": ">=10" + } + }, + "node_modules/@element-plus/icons-vue": { + "version": "1.1.4", + "resolved": "https://registry.npmmirror.com/@element-plus/icons-vue/-/icons-vue-1.1.4.tgz", + "integrity": "sha512-Iz/nHqdp1sFPmdzRwHkEQQA3lKvoObk8azgABZ81QUOpW9s/lUyQVUSh0tNtEPZXQlKwlSh7SPgoVxzrE0uuVQ==", + "license": "MIT", + "peerDependencies": { + "vue": "^3.2.0" + } + }, + "node_modules/@floating-ui/core": { + "version": "0.6.1", + "resolved": "https://registry.npmmirror.com/@floating-ui/core/-/core-0.6.1.tgz", + "integrity": "sha512-Y30eVMcZva8o84c0HcXAtDO4BEzPJMvF6+B7x7urL2xbAqVsGJhojOyHLaoQHQYjb6OkqRq5kO+zeySycQwKqg==", + "license": "MIT" + }, + "node_modules/@floating-ui/dom": { + "version": "0.4.4", + "resolved": "https://registry.npmmirror.com/@floating-ui/dom/-/dom-0.4.4.tgz", + "integrity": "sha512-0Ulu3B/dqQplUUSqnTx0foSrlYuMN+GTtlJWvNJwt6Fr7/PqmlR/Y08o6/+bxDWr6p3roBJRaQ51MDZsNmEhhw==", + "license": "MIT", + "dependencies": { + "@floating-ui/core": "^0.6.1" + } + }, + "node_modules/@popperjs/core": { + "version": "2.11.5", + "resolved": "https://registry.npmmirror.com/@popperjs/core/-/core-2.11.5.tgz", + "integrity": "sha512-9X2obfABZuDVLCgPK9aX0a/x4jaOEweTTWE2+9sr0Qqqevj2Uv5XorvusThmc9XGYpS9yI+fhh8RTafBtGposw==", + "license": "MIT", + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/popperjs" + } + }, + "node_modules/@simonwep/pickr": { + "version": "1.8.2", + "resolved": "https://registry.npmmirror.com/@simonwep/pickr/-/pickr-1.8.2.tgz", + "integrity": "sha512-/l5w8BIkrpP6n1xsetx9MWPWlU6OblN5YgZZphxan0Tq4BByTCETL6lyIeY8lagalS2Nbt4F2W034KHLIiunKA==", + "dependencies": { + "core-js": "^3.15.1", + "nanopop": "^2.1.0" + } + }, + "node_modules/@types/lodash": { + "version": "4.14.181", + "resolved": "https://registry.npmmirror.com/@types/lodash/-/lodash-4.14.181.tgz", + "integrity": "sha512-n3tyKthHJbkiWhDZs3DkhkCzt2MexYHXlX0td5iMplyfwketaOeKboEVBqzceH7juqvEg3q5oUoBFxSLu7zFag==", + "license": "MIT" + }, + "node_modules/@types/lodash-es": { + "version": "4.17.6", + "resolved": "https://registry.npmmirror.com/@types/lodash-es/-/lodash-es-4.17.6.tgz", + "integrity": "sha512-R+zTeVUKDdfoRxpAryaQNRKk3105Rrgx2CFRClIgRGaqDTdjsm8h6IYA8ir584W3ePzkZfst5xIgDwYrlh9HLg==", + "license": "MIT", + "dependencies": { + "@types/lodash": "*" + } + }, + "node_modules/@vitejs/plugin-vue": { + "version": "2.3.1", + "resolved": "https://registry.npmmirror.com/@vitejs/plugin-vue/-/plugin-vue-2.3.1.tgz", + "integrity": "sha512-YNzBt8+jt6bSwpt7LP890U1UcTOIZZxfpE5WOJ638PNxSEKOqAi0+FSKS0nVeukfdZ0Ai/H7AFd6k3hayfGZqQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=12.0.0" + }, + "peerDependencies": { + "vite": "^2.5.10", + "vue": "^3.2.25" + } + }, + "node_modules/@vue/compiler-core": { + "version": "3.2.32", + "resolved": "https://registry.npmmirror.com/@vue/compiler-core/-/compiler-core-3.2.32.tgz", + "integrity": "sha512-bRQ8Rkpm/aYFElDWtKkTPHeLnX5pEkNxhPUcqu5crEJIilZH0yeFu/qUAcV4VfSE2AudNPkQSOwMZofhnuutmA==", + "license": "MIT", + "dependencies": { + "@babel/parser": "^7.16.4", + "@vue/shared": "3.2.32", + "estree-walker": "^2.0.2", + "source-map": "^0.6.1" + } + }, + "node_modules/@vue/compiler-dom": { + "version": "3.2.32", + "resolved": "https://registry.npmmirror.com/@vue/compiler-dom/-/compiler-dom-3.2.32.tgz", + "integrity": "sha512-maa3PNB/NxR17h2hDQfcmS02o1f9r9QIpN1y6fe8tWPrS1E4+q8MqrvDDQNhYVPd84rc3ybtyumrgm9D5Rf/kg==", + "license": "MIT", + "dependencies": { + "@vue/compiler-core": "3.2.32", + "@vue/shared": "3.2.32" + } + }, + "node_modules/@vue/compiler-sfc": { + "version": "3.2.32", + "resolved": "https://registry.npmmirror.com/@vue/compiler-sfc/-/compiler-sfc-3.2.32.tgz", + "integrity": "sha512-uO6+Gh3AVdWm72lRRCjMr8nMOEqc6ezT9lWs5dPzh1E9TNaJkMYPaRtdY9flUv/fyVQotkfjY/ponjfR+trPSg==", + "license": "MIT", + "dependencies": { + "@babel/parser": "^7.16.4", + "@vue/compiler-core": "3.2.32", + "@vue/compiler-dom": "3.2.32", + "@vue/compiler-ssr": "3.2.32", + "@vue/reactivity-transform": "3.2.32", + "@vue/shared": "3.2.32", + "estree-walker": "^2.0.2", + "magic-string": "^0.25.7", + "postcss": "^8.1.10", + "source-map": "^0.6.1" + } + }, + "node_modules/@vue/compiler-ssr": { + "version": "3.2.32", + "resolved": "https://registry.npmmirror.com/@vue/compiler-ssr/-/compiler-ssr-3.2.32.tgz", + "integrity": "sha512-ZklVUF/SgTx6yrDUkaTaBL/JMVOtSocP+z5Xz/qIqqLdW/hWL90P+ob/jOQ0Xc/om57892Q7sRSrex0wujOL2Q==", + "license": "MIT", + "dependencies": { + "@vue/compiler-dom": "3.2.32", + "@vue/shared": "3.2.32" + } + }, + "node_modules/@vue/reactivity": { + "version": "3.2.32", + "resolved": "https://registry.npmmirror.com/@vue/reactivity/-/reactivity-3.2.32.tgz", + "integrity": "sha512-4zaDumuyDqkuhbb63hRd+YHFGopW7srFIWesLUQ2su/rJfWrSq3YUvoKAJE8Eu1EhZ2Q4c1NuwnEreKj1FkDxA==", + "license": "MIT", + "dependencies": { + "@vue/shared": "3.2.32" + } + }, + "node_modules/@vue/reactivity-transform": { + "version": "3.2.32", + "resolved": "https://registry.npmmirror.com/@vue/reactivity-transform/-/reactivity-transform-3.2.32.tgz", + "integrity": "sha512-CW1W9zaJtE275tZSWIfQKiPG0iHpdtSlmTqYBu7Y62qvtMgKG5yOxtvBs4RlrZHlaqFSE26avLAgQiTp4YHozw==", + "license": "MIT", + "dependencies": { + "@babel/parser": "^7.16.4", + "@vue/compiler-core": "3.2.32", + "@vue/shared": "3.2.32", + "estree-walker": "^2.0.2", + "magic-string": "^0.25.7" + } + }, + "node_modules/@vue/runtime-core": { + "version": "3.2.32", + "resolved": "https://registry.npmmirror.com/@vue/runtime-core/-/runtime-core-3.2.32.tgz", + "integrity": "sha512-uKKzK6LaCnbCJ7rcHvsK0azHLGpqs+Vi9B28CV1mfWVq1F3Bj8Okk3cX+5DtD06aUh4V2bYhS2UjjWiUUKUF0w==", + "license": "MIT", + "dependencies": { + "@vue/reactivity": "3.2.32", + "@vue/shared": "3.2.32" + } + }, + "node_modules/@vue/runtime-dom": { + "version": "3.2.32", + "resolved": "https://registry.npmmirror.com/@vue/runtime-dom/-/runtime-dom-3.2.32.tgz", + "integrity": "sha512-AmlIg+GPqjkNoADLjHojEX5RGcAg+TsgXOOcUrtDHwKvA8mO26EnLQLB8nylDjU6AMJh2CIYn8NEgyOV5ZIScQ==", + "license": "MIT", + "dependencies": { + "@vue/runtime-core": "3.2.32", + "@vue/shared": "3.2.32", + "csstype": "^2.6.8" + } + }, + "node_modules/@vue/server-renderer": { + "version": "3.2.32", + "resolved": "https://registry.npmmirror.com/@vue/server-renderer/-/server-renderer-3.2.32.tgz", + "integrity": "sha512-TYKpZZfRJpGTTiy/s6bVYwQJpAUx3G03z4G7/3O18M11oacrMTVHaHjiPuPqf3xQtY8R4LKmQ3EOT/DRCA/7Wg==", + "license": "MIT", + "dependencies": { + "@vue/compiler-ssr": "3.2.32", + "@vue/shared": "3.2.32" + }, + "peerDependencies": { + "vue": "3.2.32" + } + }, + "node_modules/@vue/shared": { + "version": "3.2.32", + "resolved": "https://registry.npmmirror.com/@vue/shared/-/shared-3.2.32.tgz", + "integrity": "sha512-bjcixPErUsAnTQRQX4Z5IQnICYjIfNCyCl8p29v1M6kfVzvwOICPw+dz48nNuWlTOOx2RHhzHdazJibE8GSnsw==", + "license": "MIT" + }, + "node_modules/@vueuse/core": { + "version": "8.2.5", + "resolved": "https://registry.npmmirror.com/@vueuse/core/-/core-8.2.5.tgz", + "integrity": "sha512-5prZAA1Ji2ltwNUnzreu6WIXYqHYP/9U2BiY5mD/650VYLpVcwVlYznJDFcLCmEWI3o3Vd34oS1FUf+6Mh68GQ==", + "license": "MIT", + "dependencies": { + "@vueuse/metadata": "8.2.5", + "@vueuse/shared": "8.2.5", + "vue-demi": "*" + }, + "funding": { + "url": "https://github.com/sponsors/antfu" + }, + "peerDependencies": { + "@vue/composition-api": "^1.1.0", + "vue": "^2.6.0 || ^3.2.0" + }, + "peerDependenciesMeta": { + "@vue/composition-api": { + "optional": true + }, + "vue": { + "optional": true + } + } + }, + "node_modules/@vueuse/metadata": { + "version": "8.2.5", + "resolved": "https://registry.npmmirror.com/@vueuse/metadata/-/metadata-8.2.5.tgz", + "integrity": "sha512-Lk9plJjh9cIdiRdcj16dau+2LANxIdFCiTgdfzwYXbflxq0QnMBeOD2qHgKDE7fuVrtPcVWj8VSuZEx1HRfNQA==", + "license": "MIT", + "funding": { + "url": "https://github.com/sponsors/antfu" + } + }, + "node_modules/@vueuse/shared": { + "version": "8.2.5", + "resolved": "https://registry.npmmirror.com/@vueuse/shared/-/shared-8.2.5.tgz", + "integrity": "sha512-lNWo+7sk6JCuOj4AiYM+6HZ6fq4xAuVq1sVckMQKgfCJZpZRe4i8es+ZULO5bYTKP+VrOCtqrLR2GzEfrbr3YQ==", + "license": "MIT", + "dependencies": { + "vue-demi": "*" + }, + "funding": { + "url": "https://github.com/sponsors/antfu" + }, + "peerDependencies": { + "@vue/composition-api": "^1.1.0", + "vue": "^2.6.0 || ^3.2.0" + }, + "peerDependenciesMeta": { + "@vue/composition-api": { + "optional": true + }, + "vue": { + "optional": true + } + } + }, + "node_modules/ant-design-vue": { + "version": "2.2.8", + "resolved": "https://registry.npmmirror.com/ant-design-vue/-/ant-design-vue-2.2.8.tgz", + "integrity": "sha512-3graq9/gCfJQs6hznrHV6sa9oDmk/D1H3Oo0vLdVpPS/I61fZPk8NEyNKCHpNA6fT2cx6xx9U3QS63uuyikg/Q==", + "dependencies": { + "@ant-design/icons-vue": "^6.0.0", + "@babel/runtime": "^7.10.5", + "@simonwep/pickr": "~1.8.0", + "array-tree-filter": "^2.1.0", + "async-validator": "^3.3.0", + "dom-align": "^1.12.1", + "dom-scroll-into-view": "^2.0.0", + "lodash": "^4.17.21", + "lodash-es": "^4.17.15", + "moment": "^2.27.0", + "omit.js": "^2.0.0", + "resize-observer-polyfill": "^1.5.1", + "scroll-into-view-if-needed": "^2.2.25", + "shallow-equal": "^1.0.0", + "vue-types": "^3.0.0", + "warning": "^4.0.0" + }, + "peerDependencies": { + "@vue/compiler-sfc": ">=3.1.0", + "vue": ">=3.1.0" + } + }, + "node_modules/ant-design-vue/node_modules/async-validator": { + "version": "3.5.2", + "resolved": "https://registry.npmmirror.com/async-validator/-/async-validator-3.5.2.tgz", + "integrity": "sha512-8eLCg00W9pIRZSB781UUX/H6Oskmm8xloZfr09lz5bikRpBVDlJ3hRVuxxP1SxcwsEYfJ4IU8Q19Y8/893r3rQ==" + }, + "node_modules/array-tree-filter": { + "version": "2.1.0", + "resolved": "https://registry.npmmirror.com/array-tree-filter/-/array-tree-filter-2.1.0.tgz", + "integrity": "sha512-4ROwICNlNw/Hqa9v+rk5h22KjmzB1JGTMVKP2AKJBOCgb0yL0ASf0+YvCcLNNwquOHNX48jkeZIJ3a+oOQqKcw==" + }, + "node_modules/async-validator": { + "version": "4.0.7", + "resolved": "https://registry.npmmirror.com/async-validator/-/async-validator-4.0.7.tgz", + "integrity": "sha512-Pj2IR7u8hmUEDOwB++su6baaRi+QvsgajuFB9j95foM1N2gy5HM4z60hfusIO0fBPG5uLAEl6yCJr1jNSVugEQ==", + "license": "MIT" + }, + "node_modules/axios": { + "version": "0.26.1", + "resolved": "https://registry.npmmirror.com/axios/-/axios-0.26.1.tgz", + "integrity": "sha512-fPwcX4EvnSHuInCMItEhAGnaSEXRBjtzh9fOtsE6E1G6p7vl7edEeZe11QHf18+6+9gR5PbKV/sGKNaD8YaMeA==", + "license": "MIT", + "dependencies": { + "follow-redirects": "^1.14.8" + } + }, + "node_modules/axios/node_modules/follow-redirects": { + "version": "1.14.9", + "resolved": "https://registry.npmmirror.com/follow-redirects/-/follow-redirects-1.14.9.tgz", + "integrity": "sha512-MQDfihBQYMcyy5dhRDJUHcw7lb2Pv/TuE6xP1vyraLukNDHKbDxDNaOE3NbCAdKQApno+GPRyo1YAp89yCjK4w==", + "funding": [ + { + "type": "individual", + "url": "https://github.com/sponsors/RubenVerborgh" + } + ], + "license": "MIT", + "engines": { + "node": ">=4.0" + }, + "peerDependenciesMeta": { + "debug": { + "optional": true + } + } + }, + "node_modules/compute-scroll-into-view": { + "version": "1.0.17", + "resolved": "https://registry.npmmirror.com/compute-scroll-into-view/-/compute-scroll-into-view-1.0.17.tgz", + "integrity": "sha512-j4dx+Fb0URmzbwwMUrhqWM2BEWHdFGx+qZ9qqASHRPqvTYdqvWnHg0H1hIbcyLnvgnoNAVMlwkepyqM3DaIFUg==" + }, + "node_modules/copy-anything": { + "version": "2.0.6", + "resolved": "https://registry.npmmirror.com/copy-anything/-/copy-anything-2.0.6.tgz", + "integrity": "sha512-1j20GZTsvKNkc4BY3NpMOM8tt///wY3FpIzozTOFO2ffuZcV61nojHXVKIy3WM+7ADCy5FVhdZYHYDdgTU0yJw==", + "dependencies": { + "is-what": "^3.14.1" + } + }, + "node_modules/core-js": { + "version": "3.22.5", + "resolved": "https://registry.npmmirror.com/core-js/-/core-js-3.22.5.tgz", + "integrity": "sha512-VP/xYuvJ0MJWRAobcmQ8F2H6Bsn+s7zqAAjFaHGBMc5AQm7zaelhD1LGduFn2EehEcQcU+br6t+fwbpQ5d1ZWA==", + "hasInstallScript": true + }, + "node_modules/csstype": { + "version": "2.6.20", + "resolved": "https://registry.npmmirror.com/csstype/-/csstype-2.6.20.tgz", + "integrity": "sha512-/WwNkdXfckNgw6S5R125rrW8ez139lBHWouiBvX8dfMFtcn6V81REDqnH7+CRpRipfYlyU1CmOnOxrmGcFOjeA==", + "license": "MIT" + }, + "node_modules/dayjs": { + "version": "1.11.0", + "resolved": "https://registry.npmmirror.com/dayjs/-/dayjs-1.11.0.tgz", + "integrity": "sha512-JLC809s6Y948/FuCZPm5IX8rRhQwOiyMb2TfVVQEixG7P8Lm/gt5S7yoQZmC8x1UehI9Pb7sksEt4xx14m+7Ug==", + "license": "MIT" + }, + "node_modules/dom-align": { + "version": "1.12.3", + "resolved": "https://registry.npmmirror.com/dom-align/-/dom-align-1.12.3.tgz", + "integrity": "sha512-Gj9hZN3a07cbR6zviMUBOMPdWxYhbMI+x+WS0NAIu2zFZmbK8ys9R79g+iG9qLnlCwpFoaB+fKy8Pdv470GsPA==" + }, + "node_modules/dom-scroll-into-view": { + "version": "2.0.1", + "resolved": "https://registry.npmmirror.com/dom-scroll-into-view/-/dom-scroll-into-view-2.0.1.tgz", + "integrity": "sha512-bvVTQe1lfaUr1oFzZX80ce9KLDlZ3iU+XGNE/bz9HnGdklTieqsbmsLHe+rT2XWqopvL0PckkYqN7ksmm5pe3w==" + }, + "node_modules/element-plus": { + "version": "2.1.9", + "resolved": "https://registry.npmmirror.com/element-plus/-/element-plus-2.1.9.tgz", + "integrity": "sha512-6mWqS3YrmJPnouWP4otzL8+MehfOnDFqDbcIdnmC07p+Z0JkWe/CVKc4Wky8AYC8nyDMUQyiZYvooCbqGuM7pg==", + "license": "MIT", + "dependencies": { + "@ctrl/tinycolor": "^3.4.0", + "@element-plus/icons-vue": "^1.1.4", + "@floating-ui/dom": "^0.4.2", + "@popperjs/core": "^2.11.4", + "@types/lodash": "^4.14.181", + "@types/lodash-es": "^4.17.6", + "@vueuse/core": "^8.2.4", + "async-validator": "^4.0.7", + "dayjs": "^1.11.0", + "escape-html": "^1.0.3", + "lodash": "^4.17.21", + "lodash-es": "^4.17.21", + "lodash-unified": "^1.0.2", + "memoize-one": "^6.0.0", + "normalize-wheel-es": "^1.1.2" + }, + "peerDependencies": { + "vue": "^3.2.0" + } + }, + "node_modules/errno": { + "version": "0.1.8", + "resolved": "https://registry.npmmirror.com/errno/-/errno-0.1.8.tgz", + "integrity": "sha512-dJ6oBr5SQ1VSd9qkk7ByRgb/1SH4JZjCHSW/mr63/QcXO9zLVxvJ6Oy13nio03rxpSnVDDjFor75SjVeZWPW/A==", + "optional": true, + "dependencies": { + "prr": "~1.0.1" + }, + "bin": { + "errno": "cli.js" + } + }, + "node_modules/esbuild": { + "version": "0.14.36", + "resolved": "https://registry.npmmirror.com/esbuild/-/esbuild-0.14.36.tgz", + "integrity": "sha512-HhFHPiRXGYOCRlrhpiVDYKcFJRdO0sBElZ668M4lh2ER0YgnkLxECuFe7uWCf23FrcLc59Pqr7dHkTqmRPDHmw==", + "dev": true, + "hasInstallScript": true, + "license": "MIT", + "bin": { + "esbuild": "bin/esbuild" + }, + "engines": { + "node": ">=12" + }, + "optionalDependencies": { + "esbuild-android-64": "0.14.36", + "esbuild-android-arm64": "0.14.36", + "esbuild-darwin-64": "0.14.36", + "esbuild-darwin-arm64": "0.14.36", + "esbuild-freebsd-64": "0.14.36", + "esbuild-freebsd-arm64": "0.14.36", + "esbuild-linux-32": "0.14.36", + "esbuild-linux-64": "0.14.36", + "esbuild-linux-arm": "0.14.36", + "esbuild-linux-arm64": "0.14.36", + "esbuild-linux-mips64le": "0.14.36", + "esbuild-linux-ppc64le": "0.14.36", + "esbuild-linux-riscv64": "0.14.36", + "esbuild-linux-s390x": "0.14.36", + "esbuild-netbsd-64": "0.14.36", + "esbuild-openbsd-64": "0.14.36", + "esbuild-sunos-64": "0.14.36", + "esbuild-windows-32": "0.14.36", + "esbuild-windows-64": "0.14.36", + "esbuild-windows-arm64": "0.14.36" + } + }, + "node_modules/esbuild-darwin-64": { + "version": "0.14.36", + "resolved": "https://registry.npmmirror.com/esbuild-darwin-64/-/esbuild-darwin-64-0.14.36.tgz", + "integrity": "sha512-kkl6qmV0dTpyIMKagluzYqlc1vO0ecgpviK/7jwPbRDEv5fejRTaBBEE2KxEQbTHcLhiiDbhG7d5UybZWo/1zQ==", + "cpu": [ + "x64" + ], + "dev": true, + "license": "MIT", + "optional": true, + "os": [ + "darwin" + ], + "engines": { + "node": ">=12" + } + }, + "node_modules/escape-html": { + "version": "1.0.3", + "resolved": "https://registry.npmmirror.com/escape-html/-/escape-html-1.0.3.tgz", + "integrity": "sha512-NiSupZ4OeuGwr68lGIeym/ksIZMJodUGOSCZ/FSnTxcrekbvqrgdUxlJOMpijaKZVjAJrWrGs/6Jy8OMuyj9ow==", + "license": "MIT" + }, + "node_modules/estree-walker": { + "version": "2.0.2", + "resolved": "https://registry.npmmirror.com/estree-walker/-/estree-walker-2.0.2.tgz", + "integrity": "sha512-Rfkk/Mp/DL7JVje3u18FxFujQlTNR2q6QfMSMB7AvCBx91NGj/ba3kCfza0f6dVDbw7YlRf/nDrn7pQrCCyQ/w==", + "license": "MIT" + }, + "node_modules/fsevents": { + "version": "2.3.2", + "resolved": "https://registry.npmmirror.com/fsevents/-/fsevents-2.3.2.tgz", + "integrity": "sha512-xiqMQR4xAeHTuB9uWm+fFRcIOgKBMiOBP+eXiyT7jsgVCq1bkVygt00oASowB7EdtpOHaaPgKt812P9ab+DDKA==", + "dev": true, + "license": "MIT", + "optional": true, + "os": [ + "darwin" + ], + "engines": { + "node": "^8.16.0 || ^10.6.0 || >=11.0.0" + } + }, + "node_modules/function-bind": { + "version": "1.1.1", + "resolved": "https://registry.npmmirror.com/function-bind/-/function-bind-1.1.1.tgz", + "integrity": "sha512-yIovAzMX49sF8Yl58fSCWJ5svSLuaibPxXQJFLmBObTuCr0Mf1KiPopGM9NiFjiYBCbfaa2Fh6breQ6ANVTI0A==", + "dev": true, + "license": "MIT" + }, + "node_modules/graceful-fs": { + "version": "4.2.10", + "resolved": "https://registry.npmmirror.com/graceful-fs/-/graceful-fs-4.2.10.tgz", + "integrity": "sha512-9ByhssR2fPVsNZj478qUUbKfmL0+t5BDVyjShtyZZLiK7ZDAArFFfopyOTj0M05wE2tJPisA4iTnnXl2YoPvOA==", + "optional": true + }, + "node_modules/has": { + "version": "1.0.3", + "resolved": "https://registry.npmmirror.com/has/-/has-1.0.3.tgz", + "integrity": "sha512-f2dvO0VU6Oej7RkWJGrehjbzMAjFp5/VKPp5tTpWIV4JHHZK1/BxbFRtf/siA2SWTe09caDmVtYYzWEIbBS4zw==", + "dev": true, + "license": "MIT", + "dependencies": { + "function-bind": "^1.1.1" + }, + "engines": { + "node": ">= 0.4.0" + } + }, + "node_modules/iconv-lite": { + "version": "0.4.24", + "resolved": "https://registry.npmmirror.com/iconv-lite/-/iconv-lite-0.4.24.tgz", + "integrity": "sha512-v3MXnZAcvnywkTUEZomIActle7RXXeedOR31wwl7VlyoXO4Qi9arvSenNQWne1TcRwhCL1HwLI21bEqdpj8/rA==", + "optional": true, + "dependencies": { + "safer-buffer": ">= 2.1.2 < 3" + }, + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/image-size": { + "version": "0.5.5", + "resolved": "https://registry.npmmirror.com/image-size/-/image-size-0.5.5.tgz", + "integrity": "sha512-6TDAlDPZxUFCv+fuOkIoXT/V/f3Qbq8e37p+YOiYrUv3v9cc3/6x78VdfPgFVaB9dZYeLUfKgHRebpkm/oP2VQ==", + "optional": true, + "bin": { + "image-size": "bin/image-size.js" + }, + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/is-core-module": { + "version": "2.8.1", + "resolved": "https://registry.npmmirror.com/is-core-module/-/is-core-module-2.8.1.tgz", + "integrity": "sha512-SdNCUs284hr40hFTFP6l0IfZ/RSrMXF3qgoRHd3/79unUTvrFO/JoXwkGm+5J/Oe3E/b5GsnG330uUNgRpu1PA==", + "dev": true, + "license": "MIT", + "dependencies": { + "has": "^1.0.3" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/is-plain-object": { + "version": "3.0.1", + "resolved": "https://registry.npmmirror.com/is-plain-object/-/is-plain-object-3.0.1.tgz", + "integrity": "sha512-Xnpx182SBMrr/aBik8y+GuR4U1L9FqMSojwDQwPMmxyC6bvEqly9UBCxhauBF5vNh2gwWJNX6oDV7O+OM4z34g==", + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/is-what": { + "version": "3.14.1", + "resolved": "https://registry.npmmirror.com/is-what/-/is-what-3.14.1.tgz", + "integrity": "sha512-sNxgpk9793nzSs7bA6JQJGeIuRBQhAaNGG77kzYQgMkrID+lS6SlK07K5LaptscDlSaIgH+GPFzf+d75FVxozA==" + }, + "node_modules/js-audio-recorder": { + "version": "0.5.7", + "resolved": "https://registry.npmmirror.com/js-audio-recorder/-/js-audio-recorder-0.5.7.tgz", + "integrity": "sha512-DIlv30N86AYHr7zGHN0O7V/3Rd8Q6SIJ/MBzVJaT9STWTdhF4E/8fxCX6ZMgRSv8xmx6fEqcFFNPoofmxJD4+A==", + "license": "MIT" + }, + "node_modules/js-tokens": { + "version": "4.0.0", + "resolved": "https://registry.npmmirror.com/js-tokens/-/js-tokens-4.0.0.tgz", + "integrity": "sha512-RdJUflcE3cUzKiMqQgsCu06FPu9UdIJO0beYbPhHN4k6apgJtifcoCtT9bcxOpYBtpD2kCM6Sbzg4CausW/PKQ==" + }, + "node_modules/lamejs": { + "version": "1.2.1", + "resolved": "https://registry.npmmirror.com/lamejs/-/lamejs-1.2.1.tgz", + "integrity": "sha512-s7bxvjvYthw6oPLCm5pFxvA84wUROODB8jEO2+CE1adhKgrIvVOlmMgY8zyugxGrvRaDHNJanOiS21/emty6dQ==", + "license": "LGPL-3.0", + "dependencies": { + "use-strict": "1.0.1" + } + }, + "node_modules/less": { + "version": "4.1.2", + "resolved": "https://registry.npmmirror.com/less/-/less-4.1.2.tgz", + "integrity": "sha512-EoQp/Et7OSOVu0aJknJOtlXZsnr8XE8KwuzTHOLeVSEx8pVWUICc8Q0VYRHgzyjX78nMEyC/oztWFbgyhtNfDA==", + "dependencies": { + "copy-anything": "^2.0.1", + "parse-node-version": "^1.0.1", + "tslib": "^2.3.0" + }, + "bin": { + "lessc": "bin/lessc" + }, + "engines": { + "node": ">=6" + }, + "optionalDependencies": { + "errno": "^0.1.1", + "graceful-fs": "^4.1.2", + "image-size": "~0.5.0", + "make-dir": "^2.1.0", + "mime": "^1.4.1", + "needle": "^2.5.2", + "source-map": "~0.6.0" + } + }, + "node_modules/lodash": { + "version": "4.17.21", + "resolved": "https://registry.npmmirror.com/lodash/-/lodash-4.17.21.tgz", + "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==", + "license": "MIT" + }, + "node_modules/lodash-es": { + "version": "4.17.21", + "resolved": "https://registry.npmmirror.com/lodash-es/-/lodash-es-4.17.21.tgz", + "integrity": "sha512-mKnC+QJ9pWVzv+C4/U3rRsHapFfHvQFoFB92e52xeyGMcX6/OlIl78je1u8vePzYZSkkogMPJ2yjxxsb89cxyw==", + "license": "MIT" + }, + "node_modules/lodash-unified": { + "version": "1.0.2", + "resolved": "https://registry.npmmirror.com/lodash-unified/-/lodash-unified-1.0.2.tgz", + "integrity": "sha512-OGbEy+1P+UT26CYi4opY4gebD8cWRDxAT6MAObIVQMiqYdxZr1g3QHWCToVsm31x2NkLS4K3+MC2qInaRMa39g==", + "license": "MIT", + "peerDependencies": { + "@types/lodash-es": "*", + "lodash": "*", + "lodash-es": "*" + } + }, + "node_modules/loose-envify": { + "version": "1.4.0", + "resolved": "https://registry.npmmirror.com/loose-envify/-/loose-envify-1.4.0.tgz", + "integrity": "sha512-lyuxPGr/Wfhrlem2CL/UcnUc1zcqKAImBDzukY7Y5F/yQiNdko6+fRLevlw1HgMySw7f611UIY408EtxRSoK3Q==", + "dependencies": { + "js-tokens": "^3.0.0 || ^4.0.0" + }, + "bin": { + "loose-envify": "cli.js" + } + }, + "node_modules/magic-string": { + "version": "0.25.9", + "resolved": "https://registry.npmmirror.com/magic-string/-/magic-string-0.25.9.tgz", + "integrity": "sha512-RmF0AsMzgt25qzqqLc1+MbHmhdx0ojF2Fvs4XnOqz2ZOBXzzkEwc/dJQZCYHAn7v1jbVOjAZfK8msRn4BxO4VQ==", + "license": "MIT", + "dependencies": { + "sourcemap-codec": "^1.4.8" + } + }, + "node_modules/make-dir": { + "version": "2.1.0", + "resolved": "https://registry.npmmirror.com/make-dir/-/make-dir-2.1.0.tgz", + "integrity": "sha512-LS9X+dc8KLxXCb8dni79fLIIUA5VyZoyjSMCwTluaXA0o27cCK0bhXkpgw+sTXVpPy/lSO57ilRixqk0vDmtRA==", + "optional": true, + "dependencies": { + "pify": "^4.0.1", + "semver": "^5.6.0" + }, + "engines": { + "node": ">=6" + } + }, + "node_modules/memoize-one": { + "version": "6.0.0", + "resolved": "https://registry.npmmirror.com/memoize-one/-/memoize-one-6.0.0.tgz", + "integrity": "sha512-rkpe71W0N0c0Xz6QD0eJETuWAJGnJ9afsl1srmwPrI+yBCkge5EycXXbYRyvL29zZVUWQCY7InPRCv3GDXuZNw==", + "license": "MIT" + }, + "node_modules/mime": { + "version": "1.6.0", + "resolved": "https://registry.npmmirror.com/mime/-/mime-1.6.0.tgz", + "integrity": "sha512-x0Vn8spI+wuJ1O6S7gnbaQg8Pxh4NNHb7KSINmEWKiPE4RKOplvijn+NkmYmmRgP68mc70j2EbeTFRsrswaQeg==", + "optional": true, + "bin": { + "mime": "cli.js" + }, + "engines": { + "node": ">=4" + } + }, + "node_modules/moment": { + "version": "2.29.3", + "resolved": "https://registry.npmmirror.com/moment/-/moment-2.29.3.tgz", + "integrity": "sha512-c6YRvhEo//6T2Jz/vVtYzqBzwvPT95JBQ+smCytzf7c50oMZRsR/a4w88aD34I+/QVSfnoAnSBFPJHItlOMJVw==", + "engines": { + "node": "*" + } + }, + "node_modules/nanoid": { + "version": "3.3.2", + "resolved": "https://registry.npmmirror.com/nanoid/-/nanoid-3.3.2.tgz", + "integrity": "sha512-CuHBogktKwpm5g2sRgv83jEy2ijFzBwMoYA60orPDR7ynsLijJDqgsi4RDGj3OJpy3Ieb+LYwiRmIOGyytgITA==", + "license": "MIT", + "bin": { + "nanoid": "bin/nanoid.cjs" + }, + "engines": { + "node": "^10 || ^12 || ^13.7 || ^14 || >=15.0.1" + } + }, + "node_modules/nanopop": { + "version": "2.1.0", + "resolved": "https://registry.npmmirror.com/nanopop/-/nanopop-2.1.0.tgz", + "integrity": "sha512-jGTwpFRexSH+fxappnGQtN9dspgE2ipa1aOjtR24igG0pv6JCxImIAmrLRHX+zUF5+1wtsFVbKyfP51kIGAVNw==" + }, + "node_modules/needle": { + "version": "2.9.1", + "resolved": "https://registry.npmmirror.com/needle/-/needle-2.9.1.tgz", + "integrity": "sha512-6R9fqJ5Zcmf+uYaFgdIHmLwNldn5HbK8L5ybn7Uz+ylX/rnOsSp1AHcvQSrCaFN+qNM1wpymHqD7mVasEOlHGQ==", + "optional": true, + "dependencies": { + "debug": "^3.2.6", + "iconv-lite": "^0.4.4", + "sax": "^1.2.4" + }, + "bin": { + "needle": "bin/needle" + }, + "engines": { + "node": ">= 4.4.x" + } + }, + "node_modules/needle/node_modules/debug": { + "version": "3.2.7", + "resolved": "https://registry.npmmirror.com/debug/-/debug-3.2.7.tgz", + "integrity": "sha512-CFjzYYAi4ThfiQvizrFQevTTXHtnCqWfe7x1AhgEscTz6ZbLbfoLRLPugTQyBth6f8ZERVUSyWHFD/7Wu4t1XQ==", + "optional": true, + "dependencies": { + "ms": "^2.1.1" + } + }, + "node_modules/needle/node_modules/ms": { + "version": "2.1.3", + "resolved": "https://registry.npmmirror.com/ms/-/ms-2.1.3.tgz", + "integrity": "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA==", + "optional": true + }, + "node_modules/normalize-wheel-es": { + "version": "1.1.2", + "resolved": "https://registry.npmmirror.com/normalize-wheel-es/-/normalize-wheel-es-1.1.2.tgz", + "integrity": "sha512-scX83plWJXYH1J4+BhAuIHadROzxX0UBF3+HuZNY2Ks8BciE7tSTQ+5JhTsvzjaO0/EJdm4JBGrfObKxFf3Png==", + "license": "BSD-3-Clause" + }, + "node_modules/omit.js": { + "version": "2.0.2", + "resolved": "https://registry.npmmirror.com/omit.js/-/omit.js-2.0.2.tgz", + "integrity": "sha512-hJmu9D+bNB40YpL9jYebQl4lsTW6yEHRTroJzNLqQJYHm7c+NQnJGfZmIWh8S3q3KoaxV1aLhV6B3+0N0/kyJg==" + }, + "node_modules/parse-node-version": { + "version": "1.0.1", + "resolved": "https://registry.npmmirror.com/parse-node-version/-/parse-node-version-1.0.1.tgz", + "integrity": "sha512-3YHlOa/JgH6Mnpr05jP9eDG254US9ek25LyIxZlDItp2iJtwyaXQb57lBYLdT3MowkUFYEV2XXNAYIPlESvJlA==", + "engines": { + "node": ">= 0.10" + } + }, + "node_modules/path-parse": { + "version": "1.0.7", + "resolved": "https://registry.npmmirror.com/path-parse/-/path-parse-1.0.7.tgz", + "integrity": "sha512-LDJzPVEEEPR+y48z93A0Ed0yXb8pAByGWo/k5YYdYgpY2/2EsOsksJrq7lOHxryrVOn1ejG6oAp8ahvOIQD8sw==", + "dev": true, + "license": "MIT" + }, + "node_modules/picocolors": { + "version": "1.0.0", + "resolved": "https://registry.npmmirror.com/picocolors/-/picocolors-1.0.0.tgz", + "integrity": "sha512-1fygroTLlHu66zi26VoTDv8yRgm0Fccecssto+MhsZ0D/DGW2sm8E8AjW7NU5VVTRt5GxbeZ5qBuJr+HyLYkjQ==", + "license": "ISC" + }, + "node_modules/pify": { + "version": "4.0.1", + "resolved": "https://registry.npmmirror.com/pify/-/pify-4.0.1.tgz", + "integrity": "sha512-uB80kBFb/tfd68bVleG9T5GGsGPjJrLAUpR5PZIrhBnIaRTQRjqdJSsIKkOP6OAIFbj7GOrcudc5pNjZ+geV2g==", + "optional": true, + "engines": { + "node": ">=6" + } + }, + "node_modules/postcss": { + "version": "8.4.12", + "resolved": "https://registry.npmmirror.com/postcss/-/postcss-8.4.12.tgz", + "integrity": "sha512-lg6eITwYe9v6Hr5CncVbK70SoioNQIq81nsaG86ev5hAidQvmOeETBqs7jm43K2F5/Ley3ytDtriImV6TpNiSg==", + "funding": [ + { + "type": "opencollective", + "url": "https://opencollective.com/postcss/" + }, + { + "type": "tidelift", + "url": "https://tidelift.com/funding/github/npm/postcss" + } + ], + "license": "MIT", + "dependencies": { + "nanoid": "^3.3.1", + "picocolors": "^1.0.0", + "source-map-js": "^1.0.2" + }, + "engines": { + "node": "^10 || ^12 || >=14" + } + }, + "node_modules/prr": { + "version": "1.0.1", + "resolved": "https://registry.npmmirror.com/prr/-/prr-1.0.1.tgz", + "integrity": "sha512-yPw4Sng1gWghHQWj0B3ZggWUm4qVbPwPFcRG8KyxiU7J2OHFSoEHKS+EZ3fv5l1t9CyCiop6l/ZYeWbrgoQejw==", + "optional": true + }, + "node_modules/regenerator-runtime": { + "version": "0.13.9", + "resolved": "https://registry.npmmirror.com/regenerator-runtime/-/regenerator-runtime-0.13.9.tgz", + "integrity": "sha512-p3VT+cOEgxFsRRA9X4lkI1E+k2/CtnKtU4gcxyaCUreilL/vqI6CdZ3wxVUx3UOUg+gnUOQQcRI7BmSI656MYA==" + }, + "node_modules/resize-observer-polyfill": { + "version": "1.5.1", + "resolved": "https://registry.npmmirror.com/resize-observer-polyfill/-/resize-observer-polyfill-1.5.1.tgz", + "integrity": "sha512-LwZrotdHOo12nQuZlHEmtuXdqGoOD0OhaxopaNFxWzInpEgaLWoVuAMbTzixuosCx2nEG58ngzW3vxdWoxIgdg==" + }, + "node_modules/resolve": { + "version": "1.22.0", + "resolved": "https://registry.npmmirror.com/resolve/-/resolve-1.22.0.tgz", + "integrity": "sha512-Hhtrw0nLeSrFQ7phPp4OOcVjLPIeMnRlr5mcnVuMe7M/7eBn98A3hmFRLoFo3DLZkivSYwhRUJTyPyWAk56WLw==", + "dev": true, + "license": "MIT", + "dependencies": { + "is-core-module": "^2.8.1", + "path-parse": "^1.0.7", + "supports-preserve-symlinks-flag": "^1.0.0" + }, + "bin": { + "resolve": "bin/resolve" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/rollup": { + "version": "2.70.1", + "resolved": "https://registry.npmmirror.com/rollup/-/rollup-2.70.1.tgz", + "integrity": "sha512-CRYsI5EuzLbXdxC6RnYhOuRdtz4bhejPMSWjsFLfVM/7w/85n2szZv6yExqUXsBdz5KT8eoubeyDUDjhLHEslA==", + "dev": true, + "license": "MIT", + "bin": { + "rollup": "dist/bin/rollup" + }, + "engines": { + "node": ">=10.0.0" + }, + "optionalDependencies": { + "fsevents": "~2.3.2" + } + }, + "node_modules/safer-buffer": { + "version": "2.1.2", + "resolved": "https://registry.npmmirror.com/safer-buffer/-/safer-buffer-2.1.2.tgz", + "integrity": "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg==", + "optional": true + }, + "node_modules/sax": { + "version": "1.2.4", + "resolved": "https://registry.npmmirror.com/sax/-/sax-1.2.4.tgz", + "integrity": "sha512-NqVDv9TpANUjFm0N8uM5GxL36UgKi9/atZw+x7YFnQ8ckwFGKrl4xX4yWtrey3UJm5nP1kUbnYgLopqWNSRhWw==", + "optional": true + }, + "node_modules/scroll-into-view-if-needed": { + "version": "2.2.29", + "resolved": "https://registry.npmmirror.com/scroll-into-view-if-needed/-/scroll-into-view-if-needed-2.2.29.tgz", + "integrity": "sha512-hxpAR6AN+Gh53AdAimHM6C8oTN1ppwVZITihix+WqalywBeFcQ6LdQP5ABNl26nX8GTEL7VT+b8lKpdqq65wXg==", + "dependencies": { + "compute-scroll-into-view": "^1.0.17" + } + }, + "node_modules/semver": { + "version": "5.7.1", + "resolved": "https://registry.npmmirror.com/semver/-/semver-5.7.1.tgz", + "integrity": "sha512-sauaDf/PZdVgrLTNYHRtpXa1iRiKcaebiKQ1BJdpQlWH2lCvexQdX55snPFyK7QzpudqbCI0qXFfOasHdyNDGQ==", + "optional": true, + "bin": { + "semver": "bin/semver" + } + }, + "node_modules/shallow-equal": { + "version": "1.2.1", + "resolved": "https://registry.npmmirror.com/shallow-equal/-/shallow-equal-1.2.1.tgz", + "integrity": "sha512-S4vJDjHHMBaiZuT9NPb616CSmLf618jawtv3sufLl6ivK8WocjAo58cXwbRV1cgqxH0Qbv+iUt6m05eqEa2IRA==" + }, + "node_modules/source-map": { + "version": "0.6.1", + "resolved": "https://registry.npmmirror.com/source-map/-/source-map-0.6.1.tgz", + "integrity": "sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==", + "license": "BSD-3-Clause", + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/source-map-js": { + "version": "1.0.2", + "resolved": "https://registry.npmmirror.com/source-map-js/-/source-map-js-1.0.2.tgz", + "integrity": "sha512-R0XvVJ9WusLiqTCEiGCmICCMplcCkIwwR11mOSD9CR5u+IXYdiseeEuXCVAjS54zqwkLcPNnmU4OeJ6tUrWhDw==", + "license": "BSD-3-Clause", + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/sourcemap-codec": { + "version": "1.4.8", + "resolved": "https://registry.npmmirror.com/sourcemap-codec/-/sourcemap-codec-1.4.8.tgz", + "integrity": "sha512-9NykojV5Uih4lgo5So5dtw+f0JgJX30KCNI8gwhz2J9A15wD0Ml6tjHKwf6fTSa6fAdVBdZeNOs9eJ71qCk8vA==", + "license": "MIT" + }, + "node_modules/supports-preserve-symlinks-flag": { + "version": "1.0.0", + "resolved": "https://registry.npmmirror.com/supports-preserve-symlinks-flag/-/supports-preserve-symlinks-flag-1.0.0.tgz", + "integrity": "sha512-ot0WnXS9fgdkgIcePe6RHNk1WA8+muPa6cSjeR3V8K27q9BB1rTE3R1p7Hv0z1ZyAc8s6Vvv8DIyWf681MAt0w==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.4" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/tslib": { + "version": "2.4.0", + "resolved": "https://registry.npmmirror.com/tslib/-/tslib-2.4.0.tgz", + "integrity": "sha512-d6xOpEDfsi2CZVlPQzGeux8XMwLT9hssAsaPYExaQMuYskwb+x1x7J371tWlbBdWHroy99KnVB6qIkUbs5X3UQ==" + }, + "node_modules/use-strict": { + "version": "1.0.1", + "resolved": "https://registry.npmmirror.com/use-strict/-/use-strict-1.0.1.tgz", + "integrity": "sha512-IeiWvvEXfW5ltKVMkxq6FvNf2LojMKvB2OCeja6+ct24S1XOmQw2dGr2JyndwACWAGJva9B7yPHwAmeA9QCqAQ==", + "license": "ISC" + }, + "node_modules/vite": { + "version": "2.9.1", + "resolved": "https://registry.npmmirror.com/vite/-/vite-2.9.1.tgz", + "integrity": "sha512-vSlsSdOYGcYEJfkQ/NeLXgnRv5zZfpAsdztkIrs7AZHV8RCMZQkwjo4DS5BnrYTqoWqLoUe1Cah4aVO4oNNqCQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "esbuild": "^0.14.27", + "postcss": "^8.4.12", + "resolve": "^1.22.0", + "rollup": "^2.59.0" + }, + "bin": { + "vite": "bin/vite.js" + }, + "engines": { + "node": ">=12.2.0" + }, + "optionalDependencies": { + "fsevents": "~2.3.2" + }, + "peerDependencies": { + "less": "*", + "sass": "*", + "stylus": "*" + }, + "peerDependenciesMeta": { + "less": { + "optional": true + }, + "sass": { + "optional": true + }, + "stylus": { + "optional": true + } + } + }, + "node_modules/vue": { + "version": "3.2.32", + "resolved": "https://registry.npmmirror.com/vue/-/vue-3.2.32.tgz", + "integrity": "sha512-6L3jKZApF042OgbCkh+HcFeAkiYi3Lovi8wNhWqIK98Pi5efAMLZzRHgi91v+60oIRxdJsGS9sTMsb+yDpY8Eg==", + "license": "MIT", + "dependencies": { + "@vue/compiler-dom": "3.2.32", + "@vue/compiler-sfc": "3.2.32", + "@vue/runtime-dom": "3.2.32", + "@vue/server-renderer": "3.2.32", + "@vue/shared": "3.2.32" + } + }, + "node_modules/vue-demi": { + "version": "0.12.5", + "resolved": "https://registry.npmmirror.com/vue-demi/-/vue-demi-0.12.5.tgz", + "integrity": "sha512-BREuTgTYlUr0zw0EZn3hnhC3I6gPWv+Kwh4MCih6QcAeaTlaIX0DwOVN0wHej7hSvDPecz4jygy/idsgKfW58Q==", + "hasInstallScript": true, + "license": "MIT", + "bin": { + "vue-demi-fix": "bin/vue-demi-fix.js", + "vue-demi-switch": "bin/vue-demi-switch.js" + }, + "engines": { + "node": ">=12" + }, + "funding": { + "url": "https://github.com/sponsors/antfu" + }, + "peerDependencies": { + "@vue/composition-api": "^1.0.0-rc.1", + "vue": "^3.0.0-0 || ^2.6.0" + }, + "peerDependenciesMeta": { + "@vue/composition-api": { + "optional": true + } + } + }, + "node_modules/vue-types": { + "version": "3.0.2", + "resolved": "https://registry.npmmirror.com/vue-types/-/vue-types-3.0.2.tgz", + "integrity": "sha512-IwUC0Aq2zwaXqy74h4WCvFCUtoV0iSWr0snWnE9TnU18S66GAQyqQbRf2qfJtUuiFsBf6qp0MEwdonlwznlcrw==", + "dependencies": { + "is-plain-object": "3.0.1" + }, + "engines": { + "node": ">=10.15.0" + }, + "peerDependencies": { + "vue": "^3.0.0" + } + }, + "node_modules/warning": { + "version": "4.0.3", + "resolved": "https://registry.npmmirror.com/warning/-/warning-4.0.3.tgz", + "integrity": "sha512-rpJyN222KWIvHJ/F53XSZv0Zl/accqHR8et1kpaMTD/fLCRxtV8iX8czMzY7sVZupTI3zcUTg8eycS2kNF9l6w==", + "dependencies": { + "loose-envify": "^1.0.0" + } + } + }, + "dependencies": { + "@ant-design/colors": { + "version": "6.0.0", + "resolved": "https://registry.npmmirror.com/@ant-design/colors/-/colors-6.0.0.tgz", + "integrity": "sha512-qAZRvPzfdWHtfameEGP2Qvuf838NhergR35o+EuVyB5XvSA98xod5r4utvi4TJ3ywmevm290g9nsCG5MryrdWQ==", + "requires": { + "@ctrl/tinycolor": "^3.4.0" + } + }, + "@ant-design/icons-svg": { + "version": "4.2.1", + "resolved": "https://registry.npmmirror.com/@ant-design/icons-svg/-/icons-svg-4.2.1.tgz", + "integrity": "sha512-EB0iwlKDGpG93hW8f85CTJTs4SvMX7tt5ceupvhALp1IF44SeUFOMhKUOYqpsoYWQKAOuTRDMqn75rEaKDp0Xw==" + }, + "@ant-design/icons-vue": { + "version": "6.1.0", + "resolved": "https://registry.npmmirror.com/@ant-design/icons-vue/-/icons-vue-6.1.0.tgz", + "integrity": "sha512-EX6bYm56V+ZrKN7+3MT/ubDkvJ5rK/O2t380WFRflDcVFgsvl3NLH7Wxeau6R8DbrO5jWR6DSTC3B6gYFp77AA==", + "requires": { + "@ant-design/colors": "^6.0.0", + "@ant-design/icons-svg": "^4.2.1" + } + }, + "@babel/parser": { + "version": "7.17.9", + "resolved": "https://registry.npmmirror.com/@babel/parser/-/parser-7.17.9.tgz", + "integrity": "sha512-vqUSBLP8dQHFPdPi9bc5GK9vRkYHJ49fsZdtoJ8EQ8ibpwk5rPKfvNIwChB0KVXcIjcepEBBd2VHC5r9Gy8ueg==" + }, + "@babel/runtime": { + "version": "7.17.9", + "resolved": "https://registry.npmmirror.com/@babel/runtime/-/runtime-7.17.9.tgz", + "integrity": "sha512-lSiBBvodq29uShpWGNbgFdKYNiFDo5/HIYsaCEY9ff4sb10x9jizo2+pRrSyF4jKZCXqgzuqBOQKbUm90gQwJg==", + "requires": { + "regenerator-runtime": "^0.13.4" + } + }, + "@ctrl/tinycolor": { + "version": "3.4.1", + "resolved": "https://registry.npmmirror.com/@ctrl/tinycolor/-/tinycolor-3.4.1.tgz", + "integrity": "sha512-ej5oVy6lykXsvieQtqZxCOaLT+xD4+QNarq78cIYISHmZXshCvROLudpQN3lfL8G0NL7plMSSK+zlyvCaIJ4Iw==" + }, + "@element-plus/icons-vue": { + "version": "1.1.4", + "resolved": "https://registry.npmmirror.com/@element-plus/icons-vue/-/icons-vue-1.1.4.tgz", + "integrity": "sha512-Iz/nHqdp1sFPmdzRwHkEQQA3lKvoObk8azgABZ81QUOpW9s/lUyQVUSh0tNtEPZXQlKwlSh7SPgoVxzrE0uuVQ==", + "requires": {} + }, + "@floating-ui/core": { + "version": "0.6.1", + "resolved": "https://registry.npmmirror.com/@floating-ui/core/-/core-0.6.1.tgz", + "integrity": "sha512-Y30eVMcZva8o84c0HcXAtDO4BEzPJMvF6+B7x7urL2xbAqVsGJhojOyHLaoQHQYjb6OkqRq5kO+zeySycQwKqg==" + }, + "@floating-ui/dom": { + "version": "0.4.4", + "resolved": "https://registry.npmmirror.com/@floating-ui/dom/-/dom-0.4.4.tgz", + "integrity": "sha512-0Ulu3B/dqQplUUSqnTx0foSrlYuMN+GTtlJWvNJwt6Fr7/PqmlR/Y08o6/+bxDWr6p3roBJRaQ51MDZsNmEhhw==", + "requires": { + "@floating-ui/core": "^0.6.1" + } + }, + "@popperjs/core": { + "version": "2.11.5", + "resolved": "https://registry.npmmirror.com/@popperjs/core/-/core-2.11.5.tgz", + "integrity": "sha512-9X2obfABZuDVLCgPK9aX0a/x4jaOEweTTWE2+9sr0Qqqevj2Uv5XorvusThmc9XGYpS9yI+fhh8RTafBtGposw==" + }, + "@simonwep/pickr": { + "version": "1.8.2", + "resolved": "https://registry.npmmirror.com/@simonwep/pickr/-/pickr-1.8.2.tgz", + "integrity": "sha512-/l5w8BIkrpP6n1xsetx9MWPWlU6OblN5YgZZphxan0Tq4BByTCETL6lyIeY8lagalS2Nbt4F2W034KHLIiunKA==", + "requires": { + "core-js": "^3.15.1", + "nanopop": "^2.1.0" + } + }, + "@types/lodash": { + "version": "4.14.181", + "resolved": "https://registry.npmmirror.com/@types/lodash/-/lodash-4.14.181.tgz", + "integrity": "sha512-n3tyKthHJbkiWhDZs3DkhkCzt2MexYHXlX0td5iMplyfwketaOeKboEVBqzceH7juqvEg3q5oUoBFxSLu7zFag==" + }, + "@types/lodash-es": { + "version": "4.17.6", + "resolved": "https://registry.npmmirror.com/@types/lodash-es/-/lodash-es-4.17.6.tgz", + "integrity": "sha512-R+zTeVUKDdfoRxpAryaQNRKk3105Rrgx2CFRClIgRGaqDTdjsm8h6IYA8ir584W3ePzkZfst5xIgDwYrlh9HLg==", + "requires": { + "@types/lodash": "*" + } + }, + "@vitejs/plugin-vue": { + "version": "2.3.1", + "resolved": "https://registry.npmmirror.com/@vitejs/plugin-vue/-/plugin-vue-2.3.1.tgz", + "integrity": "sha512-YNzBt8+jt6bSwpt7LP890U1UcTOIZZxfpE5WOJ638PNxSEKOqAi0+FSKS0nVeukfdZ0Ai/H7AFd6k3hayfGZqQ==", + "dev": true, + "requires": {} + }, + "@vue/compiler-core": { + "version": "3.2.32", + "resolved": "https://registry.npmmirror.com/@vue/compiler-core/-/compiler-core-3.2.32.tgz", + "integrity": "sha512-bRQ8Rkpm/aYFElDWtKkTPHeLnX5pEkNxhPUcqu5crEJIilZH0yeFu/qUAcV4VfSE2AudNPkQSOwMZofhnuutmA==", + "requires": { + "@babel/parser": "^7.16.4", + "@vue/shared": "3.2.32", + "estree-walker": "^2.0.2", + "source-map": "^0.6.1" + } + }, + "@vue/compiler-dom": { + "version": "3.2.32", + "resolved": "https://registry.npmmirror.com/@vue/compiler-dom/-/compiler-dom-3.2.32.tgz", + "integrity": "sha512-maa3PNB/NxR17h2hDQfcmS02o1f9r9QIpN1y6fe8tWPrS1E4+q8MqrvDDQNhYVPd84rc3ybtyumrgm9D5Rf/kg==", + "requires": { + "@vue/compiler-core": "3.2.32", + "@vue/shared": "3.2.32" + } + }, + "@vue/compiler-sfc": { + "version": "3.2.32", + "resolved": "https://registry.npmmirror.com/@vue/compiler-sfc/-/compiler-sfc-3.2.32.tgz", + "integrity": "sha512-uO6+Gh3AVdWm72lRRCjMr8nMOEqc6ezT9lWs5dPzh1E9TNaJkMYPaRtdY9flUv/fyVQotkfjY/ponjfR+trPSg==", + "requires": { + "@babel/parser": "^7.16.4", + "@vue/compiler-core": "3.2.32", + "@vue/compiler-dom": "3.2.32", + "@vue/compiler-ssr": "3.2.32", + "@vue/reactivity-transform": "3.2.32", + "@vue/shared": "3.2.32", + "estree-walker": "^2.0.2", + "magic-string": "^0.25.7", + "postcss": "^8.1.10", + "source-map": "^0.6.1" + } + }, + "@vue/compiler-ssr": { + "version": "3.2.32", + "resolved": "https://registry.npmmirror.com/@vue/compiler-ssr/-/compiler-ssr-3.2.32.tgz", + "integrity": "sha512-ZklVUF/SgTx6yrDUkaTaBL/JMVOtSocP+z5Xz/qIqqLdW/hWL90P+ob/jOQ0Xc/om57892Q7sRSrex0wujOL2Q==", + "requires": { + "@vue/compiler-dom": "3.2.32", + "@vue/shared": "3.2.32" + } + }, + "@vue/reactivity": { + "version": "3.2.32", + "resolved": "https://registry.npmmirror.com/@vue/reactivity/-/reactivity-3.2.32.tgz", + "integrity": "sha512-4zaDumuyDqkuhbb63hRd+YHFGopW7srFIWesLUQ2su/rJfWrSq3YUvoKAJE8Eu1EhZ2Q4c1NuwnEreKj1FkDxA==", + "requires": { + "@vue/shared": "3.2.32" + } + }, + "@vue/reactivity-transform": { + "version": "3.2.32", + "resolved": "https://registry.npmmirror.com/@vue/reactivity-transform/-/reactivity-transform-3.2.32.tgz", + "integrity": "sha512-CW1W9zaJtE275tZSWIfQKiPG0iHpdtSlmTqYBu7Y62qvtMgKG5yOxtvBs4RlrZHlaqFSE26avLAgQiTp4YHozw==", + "requires": { + "@babel/parser": "^7.16.4", + "@vue/compiler-core": "3.2.32", + "@vue/shared": "3.2.32", + "estree-walker": "^2.0.2", + "magic-string": "^0.25.7" + } + }, + "@vue/runtime-core": { + "version": "3.2.32", + "resolved": "https://registry.npmmirror.com/@vue/runtime-core/-/runtime-core-3.2.32.tgz", + "integrity": "sha512-uKKzK6LaCnbCJ7rcHvsK0azHLGpqs+Vi9B28CV1mfWVq1F3Bj8Okk3cX+5DtD06aUh4V2bYhS2UjjWiUUKUF0w==", + "requires": { + "@vue/reactivity": "3.2.32", + "@vue/shared": "3.2.32" + } + }, + "@vue/runtime-dom": { + "version": "3.2.32", + "resolved": "https://registry.npmmirror.com/@vue/runtime-dom/-/runtime-dom-3.2.32.tgz", + "integrity": "sha512-AmlIg+GPqjkNoADLjHojEX5RGcAg+TsgXOOcUrtDHwKvA8mO26EnLQLB8nylDjU6AMJh2CIYn8NEgyOV5ZIScQ==", + "requires": { + "@vue/runtime-core": "3.2.32", + "@vue/shared": "3.2.32", + "csstype": "^2.6.8" + } + }, + "@vue/server-renderer": { + "version": "3.2.32", + "resolved": "https://registry.npmmirror.com/@vue/server-renderer/-/server-renderer-3.2.32.tgz", + "integrity": "sha512-TYKpZZfRJpGTTiy/s6bVYwQJpAUx3G03z4G7/3O18M11oacrMTVHaHjiPuPqf3xQtY8R4LKmQ3EOT/DRCA/7Wg==", + "requires": { + "@vue/compiler-ssr": "3.2.32", + "@vue/shared": "3.2.32" + } + }, + "@vue/shared": { + "version": "3.2.32", + "resolved": "https://registry.npmmirror.com/@vue/shared/-/shared-3.2.32.tgz", + "integrity": "sha512-bjcixPErUsAnTQRQX4Z5IQnICYjIfNCyCl8p29v1M6kfVzvwOICPw+dz48nNuWlTOOx2RHhzHdazJibE8GSnsw==" + }, + "@vueuse/core": { + "version": "8.2.5", + "resolved": "https://registry.npmmirror.com/@vueuse/core/-/core-8.2.5.tgz", + "integrity": "sha512-5prZAA1Ji2ltwNUnzreu6WIXYqHYP/9U2BiY5mD/650VYLpVcwVlYznJDFcLCmEWI3o3Vd34oS1FUf+6Mh68GQ==", + "requires": { + "@vueuse/metadata": "8.2.5", + "@vueuse/shared": "8.2.5", + "vue-demi": "*" + } + }, + "@vueuse/metadata": { + "version": "8.2.5", + "resolved": "https://registry.npmmirror.com/@vueuse/metadata/-/metadata-8.2.5.tgz", + "integrity": "sha512-Lk9plJjh9cIdiRdcj16dau+2LANxIdFCiTgdfzwYXbflxq0QnMBeOD2qHgKDE7fuVrtPcVWj8VSuZEx1HRfNQA==" + }, + "@vueuse/shared": { + "version": "8.2.5", + "resolved": "https://registry.npmmirror.com/@vueuse/shared/-/shared-8.2.5.tgz", + "integrity": "sha512-lNWo+7sk6JCuOj4AiYM+6HZ6fq4xAuVq1sVckMQKgfCJZpZRe4i8es+ZULO5bYTKP+VrOCtqrLR2GzEfrbr3YQ==", + "requires": { + "vue-demi": "*" + } + }, + "ant-design-vue": { + "version": "2.2.8", + "resolved": "https://registry.npmmirror.com/ant-design-vue/-/ant-design-vue-2.2.8.tgz", + "integrity": "sha512-3graq9/gCfJQs6hznrHV6sa9oDmk/D1H3Oo0vLdVpPS/I61fZPk8NEyNKCHpNA6fT2cx6xx9U3QS63uuyikg/Q==", + "requires": { + "@ant-design/icons-vue": "^6.0.0", + "@babel/runtime": "^7.10.5", + "@simonwep/pickr": "~1.8.0", + "array-tree-filter": "^2.1.0", + "async-validator": "^3.3.0", + "dom-align": "^1.12.1", + "dom-scroll-into-view": "^2.0.0", + "lodash": "^4.17.21", + "lodash-es": "^4.17.15", + "moment": "^2.27.0", + "omit.js": "^2.0.0", + "resize-observer-polyfill": "^1.5.1", + "scroll-into-view-if-needed": "^2.2.25", + "shallow-equal": "^1.0.0", + "vue-types": "^3.0.0", + "warning": "^4.0.0" + }, + "dependencies": { + "async-validator": { + "version": "3.5.2", + "resolved": "https://registry.npmmirror.com/async-validator/-/async-validator-3.5.2.tgz", + "integrity": "sha512-8eLCg00W9pIRZSB781UUX/H6Oskmm8xloZfr09lz5bikRpBVDlJ3hRVuxxP1SxcwsEYfJ4IU8Q19Y8/893r3rQ==" + } + } + }, + "array-tree-filter": { + "version": "2.1.0", + "resolved": "https://registry.npmmirror.com/array-tree-filter/-/array-tree-filter-2.1.0.tgz", + "integrity": "sha512-4ROwICNlNw/Hqa9v+rk5h22KjmzB1JGTMVKP2AKJBOCgb0yL0ASf0+YvCcLNNwquOHNX48jkeZIJ3a+oOQqKcw==" + }, + "async-validator": { + "version": "4.0.7", + "resolved": "https://registry.npmmirror.com/async-validator/-/async-validator-4.0.7.tgz", + "integrity": "sha512-Pj2IR7u8hmUEDOwB++su6baaRi+QvsgajuFB9j95foM1N2gy5HM4z60hfusIO0fBPG5uLAEl6yCJr1jNSVugEQ==" + }, + "axios": { + "version": "0.26.1", + "resolved": "https://registry.npmmirror.com/axios/-/axios-0.26.1.tgz", + "integrity": "sha512-fPwcX4EvnSHuInCMItEhAGnaSEXRBjtzh9fOtsE6E1G6p7vl7edEeZe11QHf18+6+9gR5PbKV/sGKNaD8YaMeA==", + "requires": { + "follow-redirects": "^1.14.8" + }, + "dependencies": { + "follow-redirects": { + "version": "1.14.9", + "resolved": "https://registry.npmmirror.com/follow-redirects/-/follow-redirects-1.14.9.tgz", + "integrity": "sha512-MQDfihBQYMcyy5dhRDJUHcw7lb2Pv/TuE6xP1vyraLukNDHKbDxDNaOE3NbCAdKQApno+GPRyo1YAp89yCjK4w==" + } + } + }, + "compute-scroll-into-view": { + "version": "1.0.17", + "resolved": "https://registry.npmmirror.com/compute-scroll-into-view/-/compute-scroll-into-view-1.0.17.tgz", + "integrity": "sha512-j4dx+Fb0URmzbwwMUrhqWM2BEWHdFGx+qZ9qqASHRPqvTYdqvWnHg0H1hIbcyLnvgnoNAVMlwkepyqM3DaIFUg==" + }, + "copy-anything": { + "version": "2.0.6", + "resolved": "https://registry.npmmirror.com/copy-anything/-/copy-anything-2.0.6.tgz", + "integrity": "sha512-1j20GZTsvKNkc4BY3NpMOM8tt///wY3FpIzozTOFO2ffuZcV61nojHXVKIy3WM+7ADCy5FVhdZYHYDdgTU0yJw==", + "requires": { + "is-what": "^3.14.1" + } + }, + "core-js": { + "version": "3.22.5", + "resolved": "https://registry.npmmirror.com/core-js/-/core-js-3.22.5.tgz", + "integrity": "sha512-VP/xYuvJ0MJWRAobcmQ8F2H6Bsn+s7zqAAjFaHGBMc5AQm7zaelhD1LGduFn2EehEcQcU+br6t+fwbpQ5d1ZWA==" + }, + "csstype": { + "version": "2.6.20", + "resolved": "https://registry.npmmirror.com/csstype/-/csstype-2.6.20.tgz", + "integrity": "sha512-/WwNkdXfckNgw6S5R125rrW8ez139lBHWouiBvX8dfMFtcn6V81REDqnH7+CRpRipfYlyU1CmOnOxrmGcFOjeA==" + }, + "dayjs": { + "version": "1.11.0", + "resolved": "https://registry.npmmirror.com/dayjs/-/dayjs-1.11.0.tgz", + "integrity": "sha512-JLC809s6Y948/FuCZPm5IX8rRhQwOiyMb2TfVVQEixG7P8Lm/gt5S7yoQZmC8x1UehI9Pb7sksEt4xx14m+7Ug==" + }, + "dom-align": { + "version": "1.12.3", + "resolved": "https://registry.npmmirror.com/dom-align/-/dom-align-1.12.3.tgz", + "integrity": "sha512-Gj9hZN3a07cbR6zviMUBOMPdWxYhbMI+x+WS0NAIu2zFZmbK8ys9R79g+iG9qLnlCwpFoaB+fKy8Pdv470GsPA==" + }, + "dom-scroll-into-view": { + "version": "2.0.1", + "resolved": "https://registry.npmmirror.com/dom-scroll-into-view/-/dom-scroll-into-view-2.0.1.tgz", + "integrity": "sha512-bvVTQe1lfaUr1oFzZX80ce9KLDlZ3iU+XGNE/bz9HnGdklTieqsbmsLHe+rT2XWqopvL0PckkYqN7ksmm5pe3w==" + }, + "element-plus": { + "version": "2.1.9", + "resolved": "https://registry.npmmirror.com/element-plus/-/element-plus-2.1.9.tgz", + "integrity": "sha512-6mWqS3YrmJPnouWP4otzL8+MehfOnDFqDbcIdnmC07p+Z0JkWe/CVKc4Wky8AYC8nyDMUQyiZYvooCbqGuM7pg==", + "requires": { + "@ctrl/tinycolor": "^3.4.0", + "@element-plus/icons-vue": "^1.1.4", + "@floating-ui/dom": "^0.4.2", + "@popperjs/core": "^2.11.4", + "@types/lodash": "^4.14.181", + "@types/lodash-es": "^4.17.6", + "@vueuse/core": "^8.2.4", + "async-validator": "^4.0.7", + "dayjs": "^1.11.0", + "escape-html": "^1.0.3", + "lodash": "^4.17.21", + "lodash-es": "^4.17.21", + "lodash-unified": "^1.0.2", + "memoize-one": "^6.0.0", + "normalize-wheel-es": "^1.1.2" + } + }, + "errno": { + "version": "0.1.8", + "resolved": "https://registry.npmmirror.com/errno/-/errno-0.1.8.tgz", + "integrity": "sha512-dJ6oBr5SQ1VSd9qkk7ByRgb/1SH4JZjCHSW/mr63/QcXO9zLVxvJ6Oy13nio03rxpSnVDDjFor75SjVeZWPW/A==", + "optional": true, + "requires": { + "prr": "~1.0.1" + } + }, + "esbuild": { + "version": "0.14.36", + "resolved": "https://registry.npmmirror.com/esbuild/-/esbuild-0.14.36.tgz", + "integrity": "sha512-HhFHPiRXGYOCRlrhpiVDYKcFJRdO0sBElZ668M4lh2ER0YgnkLxECuFe7uWCf23FrcLc59Pqr7dHkTqmRPDHmw==", + "dev": true, + "requires": { + "esbuild-android-64": "0.14.36", + "esbuild-android-arm64": "0.14.36", + "esbuild-darwin-64": "0.14.36", + "esbuild-darwin-arm64": "0.14.36", + "esbuild-freebsd-64": "0.14.36", + "esbuild-freebsd-arm64": "0.14.36", + "esbuild-linux-32": "0.14.36", + "esbuild-linux-64": "0.14.36", + "esbuild-linux-arm": "0.14.36", + "esbuild-linux-arm64": "0.14.36", + "esbuild-linux-mips64le": "0.14.36", + "esbuild-linux-ppc64le": "0.14.36", + "esbuild-linux-riscv64": "0.14.36", + "esbuild-linux-s390x": "0.14.36", + "esbuild-netbsd-64": "0.14.36", + "esbuild-openbsd-64": "0.14.36", + "esbuild-sunos-64": "0.14.36", + "esbuild-windows-32": "0.14.36", + "esbuild-windows-64": "0.14.36", + "esbuild-windows-arm64": "0.14.36" + } + }, + "esbuild-darwin-64": { + "version": "0.14.36", + "resolved": "https://registry.npmmirror.com/esbuild-darwin-64/-/esbuild-darwin-64-0.14.36.tgz", + "integrity": "sha512-kkl6qmV0dTpyIMKagluzYqlc1vO0ecgpviK/7jwPbRDEv5fejRTaBBEE2KxEQbTHcLhiiDbhG7d5UybZWo/1zQ==", + "dev": true, + "optional": true + }, + "escape-html": { + "version": "1.0.3", + "resolved": "https://registry.npmmirror.com/escape-html/-/escape-html-1.0.3.tgz", + "integrity": "sha512-NiSupZ4OeuGwr68lGIeym/ksIZMJodUGOSCZ/FSnTxcrekbvqrgdUxlJOMpijaKZVjAJrWrGs/6Jy8OMuyj9ow==" + }, + "estree-walker": { + "version": "2.0.2", + "resolved": "https://registry.npmmirror.com/estree-walker/-/estree-walker-2.0.2.tgz", + "integrity": "sha512-Rfkk/Mp/DL7JVje3u18FxFujQlTNR2q6QfMSMB7AvCBx91NGj/ba3kCfza0f6dVDbw7YlRf/nDrn7pQrCCyQ/w==" + }, + "fsevents": { + "version": "2.3.2", + "resolved": "https://registry.npmmirror.com/fsevents/-/fsevents-2.3.2.tgz", + "integrity": "sha512-xiqMQR4xAeHTuB9uWm+fFRcIOgKBMiOBP+eXiyT7jsgVCq1bkVygt00oASowB7EdtpOHaaPgKt812P9ab+DDKA==", + "dev": true, + "optional": true + }, + "function-bind": { + "version": "1.1.1", + "resolved": "https://registry.npmmirror.com/function-bind/-/function-bind-1.1.1.tgz", + "integrity": "sha512-yIovAzMX49sF8Yl58fSCWJ5svSLuaibPxXQJFLmBObTuCr0Mf1KiPopGM9NiFjiYBCbfaa2Fh6breQ6ANVTI0A==", + "dev": true + }, + "graceful-fs": { + "version": "4.2.10", + "resolved": "https://registry.npmmirror.com/graceful-fs/-/graceful-fs-4.2.10.tgz", + "integrity": "sha512-9ByhssR2fPVsNZj478qUUbKfmL0+t5BDVyjShtyZZLiK7ZDAArFFfopyOTj0M05wE2tJPisA4iTnnXl2YoPvOA==", + "optional": true + }, + "has": { + "version": "1.0.3", + "resolved": "https://registry.npmmirror.com/has/-/has-1.0.3.tgz", + "integrity": "sha512-f2dvO0VU6Oej7RkWJGrehjbzMAjFp5/VKPp5tTpWIV4JHHZK1/BxbFRtf/siA2SWTe09caDmVtYYzWEIbBS4zw==", + "dev": true, + "requires": { + "function-bind": "^1.1.1" + } + }, + "iconv-lite": { + "version": "0.4.24", + "resolved": "https://registry.npmmirror.com/iconv-lite/-/iconv-lite-0.4.24.tgz", + "integrity": "sha512-v3MXnZAcvnywkTUEZomIActle7RXXeedOR31wwl7VlyoXO4Qi9arvSenNQWne1TcRwhCL1HwLI21bEqdpj8/rA==", + "optional": true, + "requires": { + "safer-buffer": ">= 2.1.2 < 3" + } + }, + "image-size": { + "version": "0.5.5", + "resolved": "https://registry.npmmirror.com/image-size/-/image-size-0.5.5.tgz", + "integrity": "sha512-6TDAlDPZxUFCv+fuOkIoXT/V/f3Qbq8e37p+YOiYrUv3v9cc3/6x78VdfPgFVaB9dZYeLUfKgHRebpkm/oP2VQ==", + "optional": true + }, + "is-core-module": { + "version": "2.8.1", + "resolved": "https://registry.npmmirror.com/is-core-module/-/is-core-module-2.8.1.tgz", + "integrity": "sha512-SdNCUs284hr40hFTFP6l0IfZ/RSrMXF3qgoRHd3/79unUTvrFO/JoXwkGm+5J/Oe3E/b5GsnG330uUNgRpu1PA==", + "dev": true, + "requires": { + "has": "^1.0.3" + } + }, + "is-plain-object": { + "version": "3.0.1", + "resolved": "https://registry.npmmirror.com/is-plain-object/-/is-plain-object-3.0.1.tgz", + "integrity": "sha512-Xnpx182SBMrr/aBik8y+GuR4U1L9FqMSojwDQwPMmxyC6bvEqly9UBCxhauBF5vNh2gwWJNX6oDV7O+OM4z34g==" + }, + "is-what": { + "version": "3.14.1", + "resolved": "https://registry.npmmirror.com/is-what/-/is-what-3.14.1.tgz", + "integrity": "sha512-sNxgpk9793nzSs7bA6JQJGeIuRBQhAaNGG77kzYQgMkrID+lS6SlK07K5LaptscDlSaIgH+GPFzf+d75FVxozA==" + }, + "js-audio-recorder": { + "version": "0.5.7", + "resolved": "https://registry.npmmirror.com/js-audio-recorder/-/js-audio-recorder-0.5.7.tgz", + "integrity": "sha512-DIlv30N86AYHr7zGHN0O7V/3Rd8Q6SIJ/MBzVJaT9STWTdhF4E/8fxCX6ZMgRSv8xmx6fEqcFFNPoofmxJD4+A==" + }, + "js-tokens": { + "version": "4.0.0", + "resolved": "https://registry.npmmirror.com/js-tokens/-/js-tokens-4.0.0.tgz", + "integrity": "sha512-RdJUflcE3cUzKiMqQgsCu06FPu9UdIJO0beYbPhHN4k6apgJtifcoCtT9bcxOpYBtpD2kCM6Sbzg4CausW/PKQ==" + }, + "lamejs": { + "version": "1.2.1", + "resolved": "https://registry.npmmirror.com/lamejs/-/lamejs-1.2.1.tgz", + "integrity": "sha512-s7bxvjvYthw6oPLCm5pFxvA84wUROODB8jEO2+CE1adhKgrIvVOlmMgY8zyugxGrvRaDHNJanOiS21/emty6dQ==", + "requires": { + "use-strict": "1.0.1" + } + }, + "less": { + "version": "4.1.2", + "resolved": "https://registry.npmmirror.com/less/-/less-4.1.2.tgz", + "integrity": "sha512-EoQp/Et7OSOVu0aJknJOtlXZsnr8XE8KwuzTHOLeVSEx8pVWUICc8Q0VYRHgzyjX78nMEyC/oztWFbgyhtNfDA==", + "requires": { + "copy-anything": "^2.0.1", + "errno": "^0.1.1", + "graceful-fs": "^4.1.2", + "image-size": "~0.5.0", + "make-dir": "^2.1.0", + "mime": "^1.4.1", + "needle": "^2.5.2", + "parse-node-version": "^1.0.1", + "source-map": "~0.6.0", + "tslib": "^2.3.0" + } + }, + "lodash": { + "version": "4.17.21", + "resolved": "https://registry.npmmirror.com/lodash/-/lodash-4.17.21.tgz", + "integrity": "sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==" + }, + "lodash-es": { + "version": "4.17.21", + "resolved": "https://registry.npmmirror.com/lodash-es/-/lodash-es-4.17.21.tgz", + "integrity": "sha512-mKnC+QJ9pWVzv+C4/U3rRsHapFfHvQFoFB92e52xeyGMcX6/OlIl78je1u8vePzYZSkkogMPJ2yjxxsb89cxyw==" + }, + "lodash-unified": { + "version": "1.0.2", + "resolved": "https://registry.npmmirror.com/lodash-unified/-/lodash-unified-1.0.2.tgz", + "integrity": "sha512-OGbEy+1P+UT26CYi4opY4gebD8cWRDxAT6MAObIVQMiqYdxZr1g3QHWCToVsm31x2NkLS4K3+MC2qInaRMa39g==", + "requires": {} + }, + "loose-envify": { + "version": "1.4.0", + "resolved": "https://registry.npmmirror.com/loose-envify/-/loose-envify-1.4.0.tgz", + "integrity": "sha512-lyuxPGr/Wfhrlem2CL/UcnUc1zcqKAImBDzukY7Y5F/yQiNdko6+fRLevlw1HgMySw7f611UIY408EtxRSoK3Q==", + "requires": { + "js-tokens": "^3.0.0 || ^4.0.0" + } + }, + "magic-string": { + "version": "0.25.9", + "resolved": "https://registry.npmmirror.com/magic-string/-/magic-string-0.25.9.tgz", + "integrity": "sha512-RmF0AsMzgt25qzqqLc1+MbHmhdx0ojF2Fvs4XnOqz2ZOBXzzkEwc/dJQZCYHAn7v1jbVOjAZfK8msRn4BxO4VQ==", + "requires": { + "sourcemap-codec": "^1.4.8" + } + }, + "make-dir": { + "version": "2.1.0", + "resolved": "https://registry.npmmirror.com/make-dir/-/make-dir-2.1.0.tgz", + "integrity": "sha512-LS9X+dc8KLxXCb8dni79fLIIUA5VyZoyjSMCwTluaXA0o27cCK0bhXkpgw+sTXVpPy/lSO57ilRixqk0vDmtRA==", + "optional": true, + "requires": { + "pify": "^4.0.1", + "semver": "^5.6.0" + } + }, + "memoize-one": { + "version": "6.0.0", + "resolved": "https://registry.npmmirror.com/memoize-one/-/memoize-one-6.0.0.tgz", + "integrity": "sha512-rkpe71W0N0c0Xz6QD0eJETuWAJGnJ9afsl1srmwPrI+yBCkge5EycXXbYRyvL29zZVUWQCY7InPRCv3GDXuZNw==" + }, + "mime": { + "version": "1.6.0", + "resolved": "https://registry.npmmirror.com/mime/-/mime-1.6.0.tgz", + "integrity": "sha512-x0Vn8spI+wuJ1O6S7gnbaQg8Pxh4NNHb7KSINmEWKiPE4RKOplvijn+NkmYmmRgP68mc70j2EbeTFRsrswaQeg==", + "optional": true + }, + "moment": { + "version": "2.29.3", + "resolved": "https://registry.npmmirror.com/moment/-/moment-2.29.3.tgz", + "integrity": "sha512-c6YRvhEo//6T2Jz/vVtYzqBzwvPT95JBQ+smCytzf7c50oMZRsR/a4w88aD34I+/QVSfnoAnSBFPJHItlOMJVw==" + }, + "nanoid": { + "version": "3.3.2", + "resolved": "https://registry.npmmirror.com/nanoid/-/nanoid-3.3.2.tgz", + "integrity": "sha512-CuHBogktKwpm5g2sRgv83jEy2ijFzBwMoYA60orPDR7ynsLijJDqgsi4RDGj3OJpy3Ieb+LYwiRmIOGyytgITA==" + }, + "nanopop": { + "version": "2.1.0", + "resolved": "https://registry.npmmirror.com/nanopop/-/nanopop-2.1.0.tgz", + "integrity": "sha512-jGTwpFRexSH+fxappnGQtN9dspgE2ipa1aOjtR24igG0pv6JCxImIAmrLRHX+zUF5+1wtsFVbKyfP51kIGAVNw==" + }, + "needle": { + "version": "2.9.1", + "resolved": "https://registry.npmmirror.com/needle/-/needle-2.9.1.tgz", + "integrity": "sha512-6R9fqJ5Zcmf+uYaFgdIHmLwNldn5HbK8L5ybn7Uz+ylX/rnOsSp1AHcvQSrCaFN+qNM1wpymHqD7mVasEOlHGQ==", + "optional": true, + "requires": { + "debug": "^3.2.6", + "iconv-lite": "^0.4.4", + "sax": "^1.2.4" + }, + "dependencies": { + "debug": { + "version": "3.2.7", + "resolved": "https://registry.npmmirror.com/debug/-/debug-3.2.7.tgz", + "integrity": "sha512-CFjzYYAi4ThfiQvizrFQevTTXHtnCqWfe7x1AhgEscTz6ZbLbfoLRLPugTQyBth6f8ZERVUSyWHFD/7Wu4t1XQ==", + "optional": true, + "requires": { + "ms": "^2.1.1" + } + }, + "ms": { + "version": "2.1.3", + "resolved": "https://registry.npmmirror.com/ms/-/ms-2.1.3.tgz", + "integrity": "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA==", + "optional": true + } + } + }, + "normalize-wheel-es": { + "version": "1.1.2", + "resolved": "https://registry.npmmirror.com/normalize-wheel-es/-/normalize-wheel-es-1.1.2.tgz", + "integrity": "sha512-scX83plWJXYH1J4+BhAuIHadROzxX0UBF3+HuZNY2Ks8BciE7tSTQ+5JhTsvzjaO0/EJdm4JBGrfObKxFf3Png==" + }, + "omit.js": { + "version": "2.0.2", + "resolved": "https://registry.npmmirror.com/omit.js/-/omit.js-2.0.2.tgz", + "integrity": "sha512-hJmu9D+bNB40YpL9jYebQl4lsTW6yEHRTroJzNLqQJYHm7c+NQnJGfZmIWh8S3q3KoaxV1aLhV6B3+0N0/kyJg==" + }, + "parse-node-version": { + "version": "1.0.1", + "resolved": "https://registry.npmmirror.com/parse-node-version/-/parse-node-version-1.0.1.tgz", + "integrity": "sha512-3YHlOa/JgH6Mnpr05jP9eDG254US9ek25LyIxZlDItp2iJtwyaXQb57lBYLdT3MowkUFYEV2XXNAYIPlESvJlA==" + }, + "path-parse": { + "version": "1.0.7", + "resolved": "https://registry.npmmirror.com/path-parse/-/path-parse-1.0.7.tgz", + "integrity": "sha512-LDJzPVEEEPR+y48z93A0Ed0yXb8pAByGWo/k5YYdYgpY2/2EsOsksJrq7lOHxryrVOn1ejG6oAp8ahvOIQD8sw==", + "dev": true + }, + "picocolors": { + "version": "1.0.0", + "resolved": "https://registry.npmmirror.com/picocolors/-/picocolors-1.0.0.tgz", + "integrity": "sha512-1fygroTLlHu66zi26VoTDv8yRgm0Fccecssto+MhsZ0D/DGW2sm8E8AjW7NU5VVTRt5GxbeZ5qBuJr+HyLYkjQ==" + }, + "pify": { + "version": "4.0.1", + "resolved": "https://registry.npmmirror.com/pify/-/pify-4.0.1.tgz", + "integrity": "sha512-uB80kBFb/tfd68bVleG9T5GGsGPjJrLAUpR5PZIrhBnIaRTQRjqdJSsIKkOP6OAIFbj7GOrcudc5pNjZ+geV2g==", + "optional": true + }, + "postcss": { + "version": "8.4.12", + "resolved": "https://registry.npmmirror.com/postcss/-/postcss-8.4.12.tgz", + "integrity": "sha512-lg6eITwYe9v6Hr5CncVbK70SoioNQIq81nsaG86ev5hAidQvmOeETBqs7jm43K2F5/Ley3ytDtriImV6TpNiSg==", + "requires": { + "nanoid": "^3.3.1", + "picocolors": "^1.0.0", + "source-map-js": "^1.0.2" + } + }, + "prr": { + "version": "1.0.1", + "resolved": "https://registry.npmmirror.com/prr/-/prr-1.0.1.tgz", + "integrity": "sha512-yPw4Sng1gWghHQWj0B3ZggWUm4qVbPwPFcRG8KyxiU7J2OHFSoEHKS+EZ3fv5l1t9CyCiop6l/ZYeWbrgoQejw==", + "optional": true + }, + "regenerator-runtime": { + "version": "0.13.9", + "resolved": "https://registry.npmmirror.com/regenerator-runtime/-/regenerator-runtime-0.13.9.tgz", + "integrity": "sha512-p3VT+cOEgxFsRRA9X4lkI1E+k2/CtnKtU4gcxyaCUreilL/vqI6CdZ3wxVUx3UOUg+gnUOQQcRI7BmSI656MYA==" + }, + "resize-observer-polyfill": { + "version": "1.5.1", + "resolved": "https://registry.npmmirror.com/resize-observer-polyfill/-/resize-observer-polyfill-1.5.1.tgz", + "integrity": "sha512-LwZrotdHOo12nQuZlHEmtuXdqGoOD0OhaxopaNFxWzInpEgaLWoVuAMbTzixuosCx2nEG58ngzW3vxdWoxIgdg==" + }, + "resolve": { + "version": "1.22.0", + "resolved": "https://registry.npmmirror.com/resolve/-/resolve-1.22.0.tgz", + "integrity": "sha512-Hhtrw0nLeSrFQ7phPp4OOcVjLPIeMnRlr5mcnVuMe7M/7eBn98A3hmFRLoFo3DLZkivSYwhRUJTyPyWAk56WLw==", + "dev": true, + "requires": { + "is-core-module": "^2.8.1", + "path-parse": "^1.0.7", + "supports-preserve-symlinks-flag": "^1.0.0" + } + }, + "rollup": { + "version": "2.70.1", + "resolved": "https://registry.npmmirror.com/rollup/-/rollup-2.70.1.tgz", + "integrity": "sha512-CRYsI5EuzLbXdxC6RnYhOuRdtz4bhejPMSWjsFLfVM/7w/85n2szZv6yExqUXsBdz5KT8eoubeyDUDjhLHEslA==", + "dev": true, + "requires": { + "fsevents": "~2.3.2" + } + }, + "safer-buffer": { + "version": "2.1.2", + "resolved": "https://registry.npmmirror.com/safer-buffer/-/safer-buffer-2.1.2.tgz", + "integrity": "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg==", + "optional": true + }, + "sax": { + "version": "1.2.4", + "resolved": "https://registry.npmmirror.com/sax/-/sax-1.2.4.tgz", + "integrity": "sha512-NqVDv9TpANUjFm0N8uM5GxL36UgKi9/atZw+x7YFnQ8ckwFGKrl4xX4yWtrey3UJm5nP1kUbnYgLopqWNSRhWw==", + "optional": true + }, + "scroll-into-view-if-needed": { + "version": "2.2.29", + "resolved": "https://registry.npmmirror.com/scroll-into-view-if-needed/-/scroll-into-view-if-needed-2.2.29.tgz", + "integrity": "sha512-hxpAR6AN+Gh53AdAimHM6C8oTN1ppwVZITihix+WqalywBeFcQ6LdQP5ABNl26nX8GTEL7VT+b8lKpdqq65wXg==", + "requires": { + "compute-scroll-into-view": "^1.0.17" + } + }, + "semver": { + "version": "5.7.1", + "resolved": "https://registry.npmmirror.com/semver/-/semver-5.7.1.tgz", + "integrity": "sha512-sauaDf/PZdVgrLTNYHRtpXa1iRiKcaebiKQ1BJdpQlWH2lCvexQdX55snPFyK7QzpudqbCI0qXFfOasHdyNDGQ==", + "optional": true + }, + "shallow-equal": { + "version": "1.2.1", + "resolved": "https://registry.npmmirror.com/shallow-equal/-/shallow-equal-1.2.1.tgz", + "integrity": "sha512-S4vJDjHHMBaiZuT9NPb616CSmLf618jawtv3sufLl6ivK8WocjAo58cXwbRV1cgqxH0Qbv+iUt6m05eqEa2IRA==" + }, + "source-map": { + "version": "0.6.1", + "resolved": "https://registry.npmmirror.com/source-map/-/source-map-0.6.1.tgz", + "integrity": "sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==" + }, + "source-map-js": { + "version": "1.0.2", + "resolved": "https://registry.npmmirror.com/source-map-js/-/source-map-js-1.0.2.tgz", + "integrity": "sha512-R0XvVJ9WusLiqTCEiGCmICCMplcCkIwwR11mOSD9CR5u+IXYdiseeEuXCVAjS54zqwkLcPNnmU4OeJ6tUrWhDw==" + }, + "sourcemap-codec": { + "version": "1.4.8", + "resolved": "https://registry.npmmirror.com/sourcemap-codec/-/sourcemap-codec-1.4.8.tgz", + "integrity": "sha512-9NykojV5Uih4lgo5So5dtw+f0JgJX30KCNI8gwhz2J9A15wD0Ml6tjHKwf6fTSa6fAdVBdZeNOs9eJ71qCk8vA==" + }, + "supports-preserve-symlinks-flag": { + "version": "1.0.0", + "resolved": "https://registry.npmmirror.com/supports-preserve-symlinks-flag/-/supports-preserve-symlinks-flag-1.0.0.tgz", + "integrity": "sha512-ot0WnXS9fgdkgIcePe6RHNk1WA8+muPa6cSjeR3V8K27q9BB1rTE3R1p7Hv0z1ZyAc8s6Vvv8DIyWf681MAt0w==", + "dev": true + }, + "tslib": { + "version": "2.4.0", + "resolved": "https://registry.npmmirror.com/tslib/-/tslib-2.4.0.tgz", + "integrity": "sha512-d6xOpEDfsi2CZVlPQzGeux8XMwLT9hssAsaPYExaQMuYskwb+x1x7J371tWlbBdWHroy99KnVB6qIkUbs5X3UQ==" + }, + "use-strict": { + "version": "1.0.1", + "resolved": "https://registry.npmmirror.com/use-strict/-/use-strict-1.0.1.tgz", + "integrity": "sha512-IeiWvvEXfW5ltKVMkxq6FvNf2LojMKvB2OCeja6+ct24S1XOmQw2dGr2JyndwACWAGJva9B7yPHwAmeA9QCqAQ==" + }, + "vite": { + "version": "2.9.1", + "resolved": "https://registry.npmmirror.com/vite/-/vite-2.9.1.tgz", + "integrity": "sha512-vSlsSdOYGcYEJfkQ/NeLXgnRv5zZfpAsdztkIrs7AZHV8RCMZQkwjo4DS5BnrYTqoWqLoUe1Cah4aVO4oNNqCQ==", + "dev": true, + "requires": { + "esbuild": "^0.14.27", + "fsevents": "~2.3.2", + "postcss": "^8.4.12", + "resolve": "^1.22.0", + "rollup": "^2.59.0" + } + }, + "vue": { + "version": "3.2.32", + "resolved": "https://registry.npmmirror.com/vue/-/vue-3.2.32.tgz", + "integrity": "sha512-6L3jKZApF042OgbCkh+HcFeAkiYi3Lovi8wNhWqIK98Pi5efAMLZzRHgi91v+60oIRxdJsGS9sTMsb+yDpY8Eg==", + "requires": { + "@vue/compiler-dom": "3.2.32", + "@vue/compiler-sfc": "3.2.32", + "@vue/runtime-dom": "3.2.32", + "@vue/server-renderer": "3.2.32", + "@vue/shared": "3.2.32" + } + }, + "vue-demi": { + "version": "0.12.5", + "resolved": "https://registry.npmmirror.com/vue-demi/-/vue-demi-0.12.5.tgz", + "integrity": "sha512-BREuTgTYlUr0zw0EZn3hnhC3I6gPWv+Kwh4MCih6QcAeaTlaIX0DwOVN0wHej7hSvDPecz4jygy/idsgKfW58Q==", + "requires": {} + }, + "vue-types": { + "version": "3.0.2", + "resolved": "https://registry.npmmirror.com/vue-types/-/vue-types-3.0.2.tgz", + "integrity": "sha512-IwUC0Aq2zwaXqy74h4WCvFCUtoV0iSWr0snWnE9TnU18S66GAQyqQbRf2qfJtUuiFsBf6qp0MEwdonlwznlcrw==", + "requires": { + "is-plain-object": "3.0.1" + } + }, + "warning": { + "version": "4.0.3", + "resolved": "https://registry.npmmirror.com/warning/-/warning-4.0.3.tgz", + "integrity": "sha512-rpJyN222KWIvHJ/F53XSZv0Zl/accqHR8et1kpaMTD/fLCRxtV8iX8czMzY7sVZupTI3zcUTg8eycS2kNF9l6w==", + "requires": { + "loose-envify": "^1.0.0" + } + } + } +} diff --git a/demos/speech_web_demo/web_client/package.json b/demos/speech_web_demo/web_client/package.json new file mode 100644 index 000000000..7f28d4c97 --- /dev/null +++ b/demos/speech_web_demo/web_client/package.json @@ -0,0 +1,23 @@ +{ + "name": "paddlespeechwebclient", + "private": true, + "version": "0.0.0", + "scripts": { + "dev": "vite", + "build": "vite build", + "preview": "vite preview" + }, + "dependencies": { + "ant-design-vue": "^2.2.8", + "axios": "^0.26.1", + "element-plus": "^2.1.9", + "js-audio-recorder": "0.5.7", + "lamejs": "^1.2.1", + "less": "^4.1.2", + "vue": "^3.2.25" + }, + "devDependencies": { + "@vitejs/plugin-vue": "^2.3.0", + "vite": "^2.9.0" + } +} diff --git a/demos/speech_web_demo/web_client/public/favicon.ico b/demos/speech_web_demo/web_client/public/favicon.ico new file mode 100644 index 0000000000000000000000000000000000000000..342038720d7c5a8fbbef1110d098e50f7a0e6274 GIT binary patch literal 4286 zcmeHL>q`_-6rcWsKK0p;{RKUUa<#NnFx0X%4NHqmOOdT0^MeNMhcKcCJxB~GG0DJ^ zgea7XUIdmwnMP!_GqdlPJL~ScbGqkDEaNzO2a*Wdvz%e>J-_=qXYM)oTv$O^!G2j; z0zQSlm4dKJ5QNoC*_2>oit{AQW)x@k8pvp74>C3I57a=;I`FmHNyV+3xaZPUQ$bi) zZ50=5HNWxkcYqSSc#g~IJ836uQkKA(yPk`;5`(YpgvKd3`JA@3kevQTc>n3PW%2Js z&L7jn>1%K0at6+xA#7rDf{V5C{fG&4I*2nq@sZD&w-M(2KEiui8u)k%{a(yxoWX#` z*<8=%40T;4Z0z+5E_Sg!aM$kxPt&2aDkG0I&X>oHjW$R`!&K`IslRaF7! zT>C2*;u{ZuSd_bHe9?#Z$)E9ooETdw6f~M>oS2#fxv~^y?)B3+Iy?m7o-R|YIvaz~ zwM(WkxT<%8@@#aTCcb_lo|&OR@H;vnI{ZMVLxA;xlKlA{T-D{Erc$6L65y_@*5R}@ zxSuISA-uoilxYmc+{k;%(wtIhq3N2~n^(l?J>Cq;=o5O6^!AuyJ*<{cX2;%|+Kv8k ztUMi|HR0PgP1i*Fd&!RH-+j22-cyk*+0e*|L|Vp zywIunVEd<+(2Xl;K4VYDyyyjMMJmou;}`pG{k*5Cp6V&weVx{M*jd6_oEaPdZ%gBR zF4jNsETG+0vzu&@yL~jq+Q+l3=l+v-_rbm3#~#h@O)d}XlYU1#$W=S|ShnXpK0FV2 z)=+}K^Rm<$%sC47)#bP=splzC;>7P-$~W4=x4H?N6xqGXa>T=1vC9=Dtk3fA2jXHm g@*X=1Qc1zG__h*X2E(u8%pU#Udu04S;BSwA0j&u;7XSbN literal 0 HcmV?d00001 diff --git a/demos/speech_web_demo/web_client/src/App.vue b/demos/speech_web_demo/web_client/src/App.vue new file mode 100644 index 000000000..a70dbf9c4 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/App.vue @@ -0,0 +1,19 @@ + + + + + diff --git a/demos/speech_web_demo/web_client/src/api/API.js b/demos/speech_web_demo/web_client/src/api/API.js new file mode 100644 index 000000000..0feaa63f1 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/api/API.js @@ -0,0 +1,29 @@ +export const apiURL = { + ASR_OFFLINE : '/api/asr/offline', // 获取离线语音识别结果 + ASR_COLLECT_ENV : '/api/asr/collectEnv', // 采集环境噪音 + ASR_STOP_RECORD : '/api/asr/stopRecord', // 后端暂停录音 + ASR_RESUME_RECORD : '/api/asr/resumeRecord',// 后端恢复录音 + + NLP_CHAT : '/api/nlp/chat', // NLP闲聊接口 + NLP_IE : '/api/nlp/ie', // 信息抽取接口 + + TTS_OFFLINE : '/api/tts/offline', // 获取TTS音频 + + VPR_RECOG : '/api/vpr/recog', // 声纹识别接口，返回声纹对比相似度 + VPR_ENROLL : '/api/vpr/enroll', // 声纹识别注册接口 + VPR_LIST : '/api/vpr/list', // 获取声纹注册的数据列表 + VPR_DEL : '/api/vpr/del', // 删除用户声纹 + VPR_DATA : '/api/vpr/database64?vprId=', // 获取声纹注册数据 bs64格式 + + // websocket + CHAT_SOCKET_RECORD: 'ws://localhost:8010/ws/asr/offlineStream', // ChatBot websocket 接口 + ASR_SOCKET_RECORD: 'ws://localhost:8010/ws/asr/onlineStream', // Stream ASR 接口 + TTS_SOCKET_RECORD: 'ws://localhost:8010/ws/tts/online', // Stream TTS 接口 +} + + + + + + + diff --git a/demos/speech_web_demo/web_client/src/api/ApiASR.js b/demos/speech_web_demo/web_client/src/api/ApiASR.js new file mode 100644 index 000000000..342c56164 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/api/ApiASR.js @@ -0,0 +1,30 @@ +import axios from 'axios' +import {apiURL} from "./API.js" + +// 上传音频文件，获得识别结果 +export async function asrOffline(params){ + const result = await axios.post( + apiURL.ASR_OFFLINE, params + ) + return result +} + +// 上传环境采集文件 +export async function asrCollentEnv(params){ + const result = await axios.post( + apiURL.ASR_OFFLINE, params + ) + return result +} + +// 暂停录音 +export async function asrStopRecord(){ + const result = await axios.get(apiURL.ASR_STOP_RECORD); + return result +} + +// 恢复录音 +export async function asrResumeRecord(){ + const result = await axios.get(apiURL.ASR_RESUME_RECORD); + return result +} \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/api/ApiNLP.js b/demos/speech_web_demo/web_client/src/api/ApiNLP.js new file mode 100644 index 000000000..92259054a --- /dev/null +++ b/demos/speech_web_demo/web_client/src/api/ApiNLP.js @@ -0,0 +1,17 @@ +import axios from 'axios' +import {apiURL} from "./API.js" + +// 获取闲聊对话结果 +export async function nlpChat(text){ + const result = await axios.post(apiURL.NLP_CHAT, { chat : text}); + return result +} + +// 获取信息抽取结果 +export async function nlpIE(text){ + const result = await axios.post(apiURL.NLP_IE, { chat : text}); + return result +} + + + diff --git a/demos/speech_web_demo/web_client/src/api/ApiTTS.js b/demos/speech_web_demo/web_client/src/api/ApiTTS.js new file mode 100644 index 000000000..1d23a4bd1 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/api/ApiTTS.js @@ -0,0 +1,8 @@ +import axios from 'axios' +import {apiURL} from "./API.js" + +export async function ttsOffline(text){ + const result = await axios.post(apiURL.TTS_OFFLINE, { text : text}); + return result +} + diff --git a/demos/speech_web_demo/web_client/src/api/ApiVPR.js b/demos/speech_web_demo/web_client/src/api/ApiVPR.js new file mode 100644 index 000000000..e3ae2f5ec --- /dev/null +++ b/demos/speech_web_demo/web_client/src/api/ApiVPR.js @@ -0,0 +1,32 @@ +import axios from 'axios' +import {apiURL} from "./API.js" + +// 注册声纹 +export async function vprEnroll(params){ + const result = await axios.post(apiURL.VPR_ENROLL, params); + return result +} + +// 声纹识别 +export async function vprRecog(params){ + const result = await axios.post(apiURL.VPR_RECOG, params); + return result +} + +// 删除声纹 +export async function vprDel(params){ + const result = await axios.post(apiURL.VPR_DEL, params); + return result +} + +// 获取声纹列表 +export async function vprList(){ + const result = await axios.get(apiURL.VPR_LIST); + return result +} + +// 获取声纹音频 +export async function vprData(params){ + const result = await axios.get(apiURL.VPR_DATA+params); + return result +} diff --git a/demos/speech_web_demo/web_client/src/assets/image/ic_大-上传文件.svg b/demos/speech_web_demo/web_client/src/assets/image/ic_大-上传文件.svg new file mode 100644 index 000000000..4c3c86403 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/assets/image/ic_大-上传文件.svg @@ -0,0 +1,6 @@ + + + + + + diff --git a/demos/speech_web_demo/web_client/src/assets/image/ic_大-声音波浪.svg b/demos/speech_web_demo/web_client/src/assets/image/ic_大-声音波浪.svg new file mode 100644 index 000000000..dfbdc0e85 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/assets/image/ic_大-声音波浪.svg @@ -0,0 +1,6 @@ + + + + + + diff --git a/demos/speech_web_demo/web_client/src/assets/image/ic_大-语音.svg b/demos/speech_web_demo/web_client/src/assets/image/ic_大-语音.svg new file mode 100644 index 000000000..54571a3e3 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/assets/image/ic_大-语音.svg @@ -0,0 +1,6 @@ + + + + + + diff --git a/demos/speech_web_demo/web_client/src/assets/image/ic_小-录制语音.svg b/demos/speech_web_demo/web_client/src/assets/image/ic_小-录制语音.svg new file mode 100644 index 000000000..b61f7ac03 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/assets/image/ic_小-录制语音.svg @@ -0,0 +1,6 @@ + + + + + + diff --git a/demos/speech_web_demo/web_client/src/assets/image/ic_小-结束.svg b/demos/speech_web_demo/web_client/src/assets/image/ic_小-结束.svg new file mode 100644 index 000000000..01a8dc65e --- /dev/null +++ b/demos/speech_web_demo/web_client/src/assets/image/ic_小-结束.svg @@ -0,0 +1,3 @@ + + + diff --git a/demos/speech_web_demo/web_client/src/assets/image/ic_开始聊天.svg b/demos/speech_web_demo/web_client/src/assets/image/ic_开始聊天.svg new file mode 100644 index 000000000..073efd5e0 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/assets/image/ic_开始聊天.svg @@ -0,0 +1,6 @@ + + + + + + diff --git a/demos/speech_web_demo/web_client/src/assets/image/ic_开始聊天_hover.svg b/demos/speech_web_demo/web_client/src/assets/image/ic_开始聊天_hover.svg new file mode 100644 index 000000000..824f974ab --- /dev/null +++ b/demos/speech_web_demo/web_client/src/assets/image/ic_开始聊天_hover.svg @@ -0,0 +1,6 @@ + + + + + + diff --git a/demos/speech_web_demo/web_client/src/assets/image/ic_播放（按钮）.svg b/demos/speech_web_demo/web_client/src/assets/image/ic_播放（按钮）.svg new file mode 100644 index 000000000..4dc1461fd --- /dev/null +++ b/demos/speech_web_demo/web_client/src/assets/image/ic_播放（按钮）.svg @@ -0,0 +1,3 @@ + + + diff --git a/demos/speech_web_demo/web_client/src/assets/image/ic_暂停（按钮）.svg b/demos/speech_web_demo/web_client/src/assets/image/ic_暂停（按钮）.svg new file mode 100644 index 000000000..6ede8ea62 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/assets/image/ic_暂停（按钮）.svg @@ -0,0 +1,3 @@ + + + diff --git a/demos/speech_web_demo/web_client/src/assets/image/ic_更换示例.svg b/demos/speech_web_demo/web_client/src/assets/image/ic_更换示例.svg new file mode 100644 index 000000000..d126775d3 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/assets/image/ic_更换示例.svg @@ -0,0 +1,11 @@ + + + + + + + + + + + diff --git a/demos/speech_web_demo/web_client/src/assets/image/icon_小-声音波浪.svg b/demos/speech_web_demo/web_client/src/assets/image/icon_小-声音波浪.svg new file mode 100644 index 000000000..3dfed9be5 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/assets/image/icon_小-声音波浪.svg @@ -0,0 +1,6 @@ + + + + + + diff --git a/demos/speech_web_demo/web_client/src/assets/image/icon_录制声音小语音1.svg b/demos/speech_web_demo/web_client/src/assets/image/icon_录制声音小语音1.svg new file mode 100644 index 000000000..4fe4f0f7d --- /dev/null +++ b/demos/speech_web_demo/web_client/src/assets/image/icon_录制声音小语音1.svg @@ -0,0 +1,14 @@ + + + icon_录制声音(小语音） + + + + + + + + + + + \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/assets/image/在线体验-背景@2x.png b/demos/speech_web_demo/web_client/src/assets/image/在线体验-背景@2x.png new file mode 100644 index 0000000000000000000000000000000000000000..66627e1e66a12ba4efa82135bb16962184c033a2 GIT binary patch literal 78525 zcmeHQ2Ut_d_D@1UiV8NcB3QwKxHgm)DZp{Ow^6vZRTO5hteh4?7YqfRR zGRh?IS(!pT_$`Glx&-_k4*pUo3M?u`0sKo9eaE7Se^q0!6vUqukBBa`RkdGgE27z)i-jFKt$>rj0pd`Pyto z`1t*t-=b&a8C}?O)+l+RZCHNo5+;R8qbqCZFywq#s%S8cz00U_(+gp9Nj$GO`wyRB z?^oGxJ*t|94T+5QbW2{py&yUK`SXVl*Jnq$S48@)sQs?u^AGOrf8O^fOq^k!+fb3; z6c$>+iws(1k!S9g+S1r^RBNBQV2|eKi!}{%GVVG)V;2SajsES<8Gt{z0KZb6&<{1XnSk)(W}n;Qu&{@nCAr)g@mLP1#N50D<~5t z+zYM!t4i>yy3~yC3cfKV*w@>sW+wKj&qW5LZ2>fwxFG`VY$oQT~-MRSLf`L#Ye5_%}%qm~5+N1U*Zv;j) zgr<};WR{wh9Bb)zeaG~57IG-_Vl4D!|0=JmRmwvd_AjT5>)Ae~`o#KD70Qok$3lrh z2Pq4OKT;NMkO*10Bl-s*i}TZ%SV)Jf+;)-Uy}`||?V(@c6XCa%pvi9DgW)_*uJWGG zrKR6$*Dr~>wV`!RZNQ#^a6Xl;9KqmF`1Hrx^KsL|1uuUzoC^bt?wzwOxh+3@OS#9+ zz6|GcE5BpMyI=77lk69e!`-4c9N!EV=#($1 z3}sxNHAx-rrY^v{b9XEri@Pfl5<4-$g%bJtiV55Z_bT>f?aLf;T*lnxkC|~EgyQuv zwQvei)-+`HH?W@xXExu0Q2g!jCkshP02i0eS`dm89G=Ux3;Z&vK9RC;g(79)xfMbd z4jF_j+-V>;h(`?!#VkCop_qjyAt=GXlMs|(pacV#07@`$37`Z6m%u+N!Qg5{EQ4fp zo~yWTTjEpO@=8avN0`0!)JnK_aSl^ZNNRu8_%)`*Z2V9Uglf218&N@0Gr-*TJ3Ax#$5r!0d+H<|`+O$`$9Q2BPwV?HFb~by9b8&v!dx&9x**yZxI_&Dx`*5uSL2+Vt zayT3<3w=G90g_E0A$j$=@c9-9157VY1~(R;98Y~;smeC39{x=0+@Bi>JN|< zGzAnVQVOl%YA!Ajpi-0YWF%aDhXslgN$lN!z?c_Z`50i<+Vza&ctez3LCgddlaSP@3guSE6Hm*%Pq(og(rOkwpKcbz zqz8v_1WkKxhK=ub4IzfgkN`(taZjJ}mD_h~N(!>aR@{lS_<9}bJuM9B=CI#CA_*+}(_;FBk))?zT z8MQK22d-dI3knu>#%E5D*9{N>;}|GCe0_Q^oH;$#0#77XuU$ZZF2R=NNp?D5z|&W& z!quL1oWWxdY2T>8QS{%z6Nwo}Ssk{Dl!Y54LKg0b5VG)K^KW;9M|_0f^nlK@00v?jo5?Wr!;~Ji$TKR}+52*O?@PH!GG2;^F&#Y1D z#~yF}evH_f5~gEyKA@9FHKx5UULVqWlQD5H9Mhy=L$QTl51cP&Ofpz2*fLS_%K1fW z<+-$9*m3^YRX}jBR%k`ZxKyTcl%HxQB)oZ@S8NhJ>Olit`Q90h;BN4p(QqrvfW(g& zTr-O0sZkt5o`hm~T5qc2?-r*BGFp^rbm-H9UMidT-*nCs`j2I>R&ufhSw*pMtGR|N zz#8yo_fWW2Ir?A?_-*pbUQI|s2TQ<$c-XaP&*56l1L`#19e!S-tKO`GV+jf>C-2UM zYsI(>svO&@S3p(2G=>6UnBJOg0oSU0FxX&G>9`%PHZm3n!{YS^SGZP@prR6)V!aFx z1SEv%atUm(c>Hc8Tq|IOl%(5!zmSK32$RQvFtpd@hrCU`FhM_bvMTG9>8!oqo7V`1 zN8hdOpRcnu$#g$k{|}E-5#ddv#=Kvw`)iSDp02yWV@O*H6m7|X7WxLz%5&WX2w02e zR4-C6G)CefeD@DO;eiFVZkHNZyG2OeVB7i2#`m>(g$=0?R!E4SrkT zGNPbSVhvhNb@Q1iJG4l|Qyg?y6hNdYv{O3+T5W(vzbWt;yBiH=!HsY#XvKzh)(Buk z&x`;@OivjIV1xjSA%GF{z;YD92(bc1FalDjG!(&zvHPEpB69B)SDXHTGY-2Y+#QKO zCO*_9VxAZr@Z5+>yQ`QL9{#RRQrGhfER0hcY!baBr{8(alf)}!_f}I#E33Qx(;t45 z1F2%canfn*eD8ZjZT42$O7&_a=*csB+_Tyv))Iy&`+nlu2$&D&5v}YI+c>iKL5dqS zn=A4>g(r(VLt4OLk(eV$yZqd<3VXei_zqku<}C0wPHit09rx%vB!L&0kW6BF#2b`P z zzH=~edOGtt=FbMM{}B^UiIm70gFxavVewJOgNx^bZ2~_n9@bm^KyoNE2N*IvR@^yD zRy>_^9S9zV7=)(PA!?*80ycobBO?^c17VB67?I1seLr#;Vu*CcNaQla@<1*FxeT!_ z5J)rFrHXPwJk3T~1|eNXF5`c}Wn{IQ>K^F(MeUdet*K;3;!cw14Pqs2Z4YVhgz92y zn5+_EoAJ5rUj8c{sYelN+G%AO>Vo&2>TUH(U!={Mhuv^)SBl^DE_D%}*+`O0f(Nr( z#;td@xv}Oj)B^}$zRgpy3eWcaWdw^Sbc_20=`mcH;I+p1u_@_htW%t9^EB=7%-9!J z9=gEcx&adYx#MfJrqn54h7}Ojsk=r;NKI5+xT0Vp30XdzK>)C1zp}eq3Kp%yuRUB&TDP6@ zKL&~x7L%eN1!4zQcat_x4ei<{Bv1d6qj4Drc22DLd`$KX|0%^w6Q?^ zCy#8C973;F_aj)4H&}NxM&4+;^d$LVsOT_}RVHxnHDRzWflAsR>qnA!K8z?~jwM)J zzx3BI$srK0kSXEupw?*p`Y%05%US}&KXynqq(Jn*0uO>3QPc=(Qs6^SlZGsU8Zq_* z_lBaHbY6#|niObIRFjI#D1np~2udKOl3-WyVn9rN#Xm{`lS)%pZZ3%) z&8V~P_Dj!_@E?uU1({V`?fEJ^Qk>AMsoh~N5M)lBe*SAwBfCX_!CDT;!Y`4^JR}Fi z*vqNNZ)|C(Gu1uPQE;+b1=_n#&mzfyIX1MsOmBx9#*US1M1py<8ZfxL4+SJQ+hYr8 z(Prz+wSG<42aOMD)_6vg2YwGnHcyNPFVTE;c_vwrb;{!+;EXX9L%O!+NTu+y70WmS zXziNl7qWkqW7J?;hRo17dm~bY(>05AfSs-jTH5u{Q;%vC-&$uqSdmY1`cqQL;$P*> zaWmlf+Zy!yLD6o^6_g>6vN~~wl+|Uo^lr%7v0}TP_$+|lOi_d^gfd)82xSDPgizK4 z%5a+@NDRNeBO)MV;Zj1#BG?H+7LJr|@e8*Zg2eFa5wfJRO@u6hogif4NcmflW#q{& z-}B(h`megGL;LJs`jobPMUI38U*fc6hpb}=EnTWRPZUU2-P7hjH!3?bt}OWi8IM50 z?6A7a+tPo|@p#xtrqxvncp0B-Ya7i)PYcK+W5l0WEKbXx`=~qbJ4JMEyC_=5t;la~ zDJ?BDt4_xSD+NG;`GISi9kGgP!L?|(GZ{e|u8ZBynQB9FLj%JYb51J?%Wp3-V0XU! zkh>fZM2ph4dE`W{{Iy1NZAspA~gwX z&NjH%oE9oW@WF_51f~=&QNRX9u6A7}CZX!We(oH1DO1g;zSxGmM z{5M;PaAS4<3nhASdd#fKP}ZhzGTVg0q2EQUeeh!Yt;5)pKErdeer@2@FCQ}Q)$7Uv zv+C88M#sgvDeEzu7e3!cWVaIezHGjfvzS3mQo9ZN_6M(iRK;>PJ$_#}8b(h7qx9R@ zI1sW~oGyzJ)NgS#IQIaC_%XD=C=H%E;pbwKYR{QPAI!S(Q~8W;RwrAA;z~pLn41wc zZsA%1DjkD-lg#;SRNa1rXF=+&6wF?0t)RhEvD`j-FGX~xn`+qTqO9D{2}iFc&`Hkw ziRzR&N2AxQ^PSgm$O2`s%>~HFBa-0UIMC2X1;|*{Pj-CqQep`~0=!Ofzn>mx)tT-Jao{H#?!vqD0P} zL+&uczT*wEbL&g`^eg}A0Pj|Zj99u}t`Wv?M{9xt(p+HQJH`$;L`q^^V!_TZX*;bS z!M$#hN-G7Z$UMGChn#@Au(O_~nlp76>;p$X4zgn!%o&JvbwlohtBM|jy*UEzfK44c z8{h;BEa@b-p7ORK2XC?Xk%BgCgL_`WRC=vNzN<=b0zT}VXBx>9(ilG_d?R%n0lbhB- zYt2G}-xXgk=wPE`=pLTxxh58ihMW@9C26!t*&6+b@|1%MPmbFpBK#afnyrBM%<#7F zaw!eS>&0P%OMuWxf&cD`S(xaK0tar1MZa=$t=h|Es}MN@bAmnoFq$Z?=SUAw(tV1j z#fkuII`O13nPWQ$Ju|FbzHP^R$jz=+G1bgunXpY?sNGqU0aI#T#-Q@&s0c|NYw2P^ zt2439NWT{|B2o2Arog?xq}^FYYLYh>VkO?^fkut*otyk+$4`t}bBIxlC$klfY%346 zWA-0@<_cM*bc$?=mK{?&NTGmSZAhF7F+fdcXU@$vSr!0p%z4e#@i(<-GN-&2Tq7EoB zu{IuF+T%o|yL8zJT0Nh`X@?sk9n^37^s`3RekI%s z?s~6GGqlb9Gq3n^>L>HO=rillQy`ZHD zBJaK!26@m05VH`l_^C8G!<9Fs>0rFmV+Q^x76D01QFJwy%wUNTTIRhN$AD~~UZM9; z(AYG)a<%v@09k!7sPFpY3XpY0x6x~i1=WTbljf6A2f=aLG2<0_osp!-eh1sbGL9{^ z6DyLW9tN|jB>U-og8xY>lcfZtrVeNzHHke0LX!y8Bpe_@lU(nI(1g%Lga<-XSGs~y z2vMqrGQF+UA5u`-h0=TK0gmWdZZFqwDrp_rR&7)%L5} zl<43!%s8`gEy@}RU%SkW%dNUTdS}SFsLNdrrMC}^Wz=V!^FAkG-|=9sv9_q)PYq&n?lPllGoG(_(CJY2g_wmd_3|*JbD|=L*7iogd5^WHE6DNxB909#~`P z&cO#gr3KULqz7QJmi?#qc9{qo3lw?P*=fJzX>|<>vjH?al9h5mjGS&nRUF-QZW?0& z=lhoxn+xjiBwt9>5ck2@2v(&Zqz^dWdlz==xE~5k64zx-b#=yNJ5M!2*gvYP&>-%& zx9&CrUc2q7)zU8SLheHrnDA@)v+SBK@dGv#O!4e;74l`W4sC#~Afq6)sj~#EpKo2Y zmuyAqi;!3p_da9{fN;&B0d~yLVW(NR9tc0mAGIDMpR9t!Df1>!{`qFfcsVN}6lh`XDrzdjLC^m`X49EviYyvNIM=69jlR+tjC?`fK1WF+!$kcy& z3IS>f$`}}NG5te8WN5}Pn1cyf*EqGg87tpH^@H-3*hf)s^?E1C!bGs1+T6TZT+y)stx9JzNb-( zCM|i$+Pser%%Z9W2Z$FnzB$KitjkjRG!JeDjZ(`Z61LD|8; zE1_*U=^Y(nT(E9{O#sfGo@6($eDNqQ`@mxjN+w~DbUnu&oQ-gU&4zr>=gs+Go4i7l z1>~NA^2y*xg}nTHaa1H}6K`}_loV=q49UyICSE_pj>)U2a))g8orWE=h*?JV$s{pa z_^Nu0riRAZ+o`|hS%t(keBf>Q!fI-jU20(6Q z!BRn`Dkvp|L|u(|U#uT!HloG^vR1`#2FOh#L76h38jP_`(nt>#+KmozdUaz3=n;9bQ=6tR}QoOK`-m~q7$ zAGOT+NxPY2;2cZsZEjzQ?@n@#Xlhb&Mp~1$9AuCPYtj;sPWzA>L2g7!0?3U>OF$Y# zC}blyA}s+a5TR^D8bl}?L2g7^0@5J*XJjKrW<|x1md!cGF{kqkT78!%3lAPChFUZ? zSmdR(i=G@3J{y6*fynTmXF^oDC&rvqGj+7em>JT z?!^mspPx@`qfn+dSuL8sYD27h71TPb*H)|~V>B=8UUVUi9xNzL3TkF4j?#!7M2h!* z(S5doS3qOGDa479nGQA)tg@I7c;XCO3~5meEpxuFB;~H9ofUYFcp8>j61HHsQ1H$z zVlMG=qe!q)@NvvoHoDWPB}+b7HT0;Oq#;36qXO z0Z0QZ%~g#cF(BfdS)#Ks&Rv-TW#kMd*sAZ@%bp10d_;r7z5+7ea`6`ImJHRLRD$B9 zdzJYUQdAfGkfJ(8fe?i|JA|kXFM?bj9+gmx>P#n4jOt1{Q8Ljf3Y1KsWTHy~D48IV z2N47K`;v)~qpNiz)^QW^@cdE&-0U`C2I9F$xkLoY42W7Z9Tm^s}oc+kJOyW8lxHD+zlCq)bv4 z?c>g*Wq4O!UiWBBzHf@zY!)oL=4dIlHJ44h)w~eT9ZB)8EIqFXZ++w59)7^SrM0FO z7Pp2}M1H7ROzhcpFxVVPuQ!s(?(nSTrKS_H>3^;%2rt(@yNushZhfR;W} zuEV_!!DT$y7jgQ9FU-alz=i(;xOu2>$E=qLN`ehL4YtGDFU`MBoUAOxOIp_v@SX=P z^&CE2t2N+_BToA6Y`7AH9(Y-XqY0w|ZkxzjE3g+i_D&&O5rTyjMl>I!u&&fqRBb{C zBjOz)Od?()mq?5(D27SoHz962~DBXdRYKH;8UOY~K6baJDRR zV;n26``>o>vAdFAOJG{oPt6Y8=EnSYqsrCOJo7!PZ$vwPu$6UP592vB$jB+}S4U=% z2Rnnd)4`xWTsefnRii!3&vs6DJi52K0+AJgL27^pG)IlNo(?zO_u!q1Wm`Utfm7~p zfY<-_d>+I>9zbG@C{THD`q=Px#L}ge>W=%~1DgXcg2mk?xX#fNO00031000^Q000001E2u_0{{R30RRC20H6W@ z1ONa40RR91Y@h=G1ONa40RR91W&i*H0JCetzW@Lr#Ysd#RCodHo%?fK$93ns@4YjF z89az5L4Y70Bq)-ANJRo^N_JvV(K@kYyUK~fRH_`SDz&vqs&=zg`xmV8%l@#x?N8Z9 zs@A);m8vCEwY5oBcBGX|dlS*Jh)9$IiZo#o6d@2GUc_@A_ulUPoI5kX3;;%uNelpz zO%CQh`u6QU-#({LcYnJ_tH&aobCqh*Ct8msLer|Vdxo9uF1G8|TW_Y>DmAI*64}u6 z0y{GDzOU3-qm<_Q#zAj<`O&$0Mp#%>!HpWE!=xQ;v#HEM(mHz`+}z#&frG7e_lXYqf3LYFVYK#nU|#t+AN? z4+y3U0UbkBNeYdL+~%M)I%dI2te?(lr2{I_UC!=k*ZFf-tFgOt>5HSI2hycE-C-JL zbw|f&RXm=H*EsdH23sMSwPC`a&CSoZwT=0MgD0``n-8(L<6;7v5K0qGLrPg4yKe)r z`D7nFW|RpjUR1<5r(z^s@))y$>I_uqq*8mTdwZ=J9@aS`Mo;W0z`DCtq9vI)6_~0% z+M4gV%2tVFw3qqCfq3=z?PBjIoZggcn+;*;ILZlYXfSGAyM1PG6Zyqr+iE^Zu=zJi z>+w33y%&pzw^i@;E5pNwvy#TP+41!SIOjTZHxhx;?Nqf+Wo#EUuJBP^IURPI(AFy@ z9v{YIlOdZmhC(jL2Xh$mSX5It`FN$HIh5HWgH7aeZ>ZdMU)g=Bg<2FVU*=60d~0)V zotM9)8WxwA_GkR%KjU3JWUK{K7F8(By?9c0wRZkf9%ias@#OCLqKIO_}qjZ zVg%3lc<_ms@$J*rgl+hX-vf+8yh1cT$`?T4D5_@8P2j|zu`z&EYG#`Ov%0^3vfA-& zy)pU#HLAnakqswrYXdM^RZl^>Lu*^b)OlWWc4#Q_pw>n%J0Da!@+{Bx+PO?dEluB= z$cAS705dhbI~~UGhHe?pq{F~|Mt!OVv{o`6Ia-ARIDi?W^{S)&t?5@+oNWcHzyC_C z%4zEf9KVafn6F}`+Rz|s(#Dmat34E?({uIBcwAl9!PFS%cM663+^_TJBXDt%ZCT&u zb06H22!E;v)HlcPH8iAZTk8(sQ;Y)6*Qt07ch6KDHb-GL)JO~ z7N*E(?0#TLA*gA1h**3y%;faZP`lDU*)(91Mn2qstgaZN0^fE}y>7bq+{{v_1-dbF z(q3)wUTqxAp%&R}qg#*Ab*#~?!_fU6Uf}Pc@^uj;8|1kB60m9KISTMEVoq>U(kZ{c zyUwbsyNwOav<>Yz1&R7vr6rKkGOUdgiouCy36_E{U3OA?o?dE&h`(*oz9wS06Iyv`BhZD z)GNwMR;y*exJr9=CI3+)+@Kp(9x$Z`9c9ii_SpJL@AbsyOlo-=yX~yv8kVVQ@Ekv$ zvMM|UXfJ3w#cQ<-mtYAXuc3XBI}TDUj#c}KS60C|KWKO!%>U=Sn~;8rG}v!7F!F|;LCqsQj6Ac8~^R2d%So3$d9J$|sb(rI4aTAGa#8b=%tK+m~ zd+-~dOM5nU^yp{rU%jfPi?<)e?+OBDoz~Wg1T(9rly& zbH;d0HfLVM)IEnAFLPAo5~b}z;6G#>;2-AZ8b9;AyoM#c+3T+I{~EAg;Qq5~9`f)o zpQqE=n~LkdJAGnid3yQ!WN|v8Jnrs4D{B+BusHOK({(y$7}m3xLeVablTa2=EbBXt zbJKJ5ZO{B%TVlt<^dB7iZA zoXCXg6*?Q=Wz6*e9-#EvOVrCsKV;fb`nI+H50&!&Zg{wNWoEf5qo!gi`#0Rbg!WAm zmyzq$0DK;{w1&^CIqQ7atC9Bc(F_#;%sTO<>bOz5E7a;Kyg%BlQm{DDxa?L5Q)tHV zgVEZhEd8og*3jTsTPB=$7;DoLpnMPW2RWrIkOb4~N_Pg1dMcw;EgDxLb6=K^EkD_E zz)n3qv%hJdIfal<@_814Bh2!E)3C_rFZrCG@@uCrjC9KwVM)+NKns+6DYVY_jdDIL zxfvazWiSft5uEyyRh~Ze{IR(cy;0w6ZOq+$zU6@FoYRPq8Q@i|Xb~RW>cnKBEy^Oo z1?8A)3{G7$W+OZ#_pN!JmEES-%&m|_d4ll9^&%cW)nC?fhE!#4) zarUfr8K!X4A5T3GQ2!iz)n4W*M0n^d?b#Io_*7+LKdK5B#z!MA-deEo=ib#@H&uK4 zsGo8VD95F5W;+0mPgzL#D*Se6RbSW~ztsO#>ks9pRmvjm){`yMup2j2!oRT~6K{>Q zJuQGGBN1hRhDQcGC-@$BWA5U`h=X_ksgFT*(jOdaU)C`_Ll=4sm5TalrHRr;k{lDA zmeCQ1PW9+K1H*R9%31pEN*r&QhMC2wKHN5@^zHN3F&zl7q{Bvr{dkJDt2AwJie_$Il?}cX%Z0c4TPFYa(Bz{rIJ^Zl zk2)??G;8XaI_bnaEVf(H#uNkiG3zUyVceNeRo-ON$n;8kbncvWuU@saO<8T(@pS%v~|wv6D;9UMhTbAyh9ncBzBC$5rd= zOr90*_x9GzI8}|;9jh;L@rQJnHyS^zfyVM%)^)y9S6|=p@|VuSX z%6RtPOp{R2-~k>$Kr+uI^sSXZ3q^Mf4^Qi1R&HGNeMdNkD_|jfFBPk<3zY2-!{E4| zR>vUDbpG3tk$Sipp*({c-{JBQY0jg*qGh};A2<-ERRfy7H|zTcXXod-g-%zzzgxc_ zdK>0B<^=Zco4DN4ex>q)S+Rz6wNx6-m}Of0O(sTuI()TpWz^#J*I9EjtEzK0=rMu) zT^tgqq``I9sLOZmc$Z15%=EdT_i@&-)9}H5jhK7UW|?OzmWh`_dxkd0^!j(`ncsp= zcat=v8?kG{L)0+q3iT|2AOm3Cd@w-*)CyR5;mmbQAIeoXbkuX zj5=U^-2rc-7RRJsThmTkxQ`jlrrWoLcfJ~u9rHN~ut1u((Weo>S~CKI%gB6yXokm0S3P?S(o$c>8XD0E0PxH8GXdTv9e@G&+6)@6h6@+EvvawHX;OHTX|?mbb7J*w z{s=8kI$FPg`TeTn_VKi_UZ#9-hlM2JMjY(4bmCI}8=2N#d@8qHW&0^u{Dj)M=KF znAjDq&1<-g(VnI7TMh-j=^RjJA6mIr^HQ0khmvs-Vmy)FPY3z6h=L{z!tx*joS;Fv zVPnou5)BP+5B|JOT=HUYSYtC)9~zL3@_m`(2#|CpKpWT&sj6T18~k) zy*=?RTMsq-%p_uOk&RFI+y=BYrV-tSMkjPS9{)zwktw+K>+)F4%Z~njV8Dc8CR8)% z#>ept57W>$t}n50GxSd}OK-X=82`=Rl!kwGyzsr@nUqtdUS#tB4DC$=3;9+?ML0$| z6f@OuIs$v_<6FV0k3K6mji*m5KNee%^}_GseZEQDb#A`2Wq?H6YL8?*_Zgwt?MBo1 zz<^?&s?hi^hBkN+d{Q_W zuzLXty+pvsAAUJb2j7SBK2Is%-(UIyNpEoQTF$ukJv96+)VoxBqo^e3@+|9{ZI2(A z<3h6&x?O2HyW#i&0JB=CWkN9%su@BWU~;nPQkRx}5^Z9D*Zqao$y@i-y%lpMBN*>p zP4}e3%u_fchghcFC8kio0wvL`=v!JOu45WaHw@V`Xxd@%7y+~7eLsfqk-DRt*i9b0 zidDXjX28Qj6_&ZfjRdp&;6_bA1n)$bq z=sWE2m)5ZU{`oz==X{xl{5gcP2MwW*RN9a`c;t?chj*Pphj%hD1Dk0zAT+0;L8W|S zz8di1jyM8Q1o?{EF3#jQx-8$~hyWDYcG%B_XAJaL0!%3_qm?=%EVHFp|es=ElF$#9{!SmS;tG~ni1SfY&LNk|3OwY0$5%v zq?}OFFh_O?H~vbjR=?x>&1LP%$cTzBn`{FDJcBF$BI}n^(q}mhj?QP!ewX>U0m%)M;T#+BKme1Ek;`-(F59H723UA7{78uUA}(Z zP8>e03qwxYE-u>HAXvVYREuxmy>}7s71AzSFhLb)qDFk3B=_!b@&0c|$L!ePpqh(b zwuAqCVGW}rWDZHN5SgQVh)g3I7~Qb8miz5gioNV<(U8mK*G?7V%BoD?A764E_a^kX zn>>WJuT3(d*|l@EP3U({CLj+xKa>c1bD7O_jMn<0Cp%cZ%BKdwm1!xC!xEyO6iS+F zg8${I;A&~gmoKZ-;TIIkg~G2{W4?tstd4NtPXrdRWix^2xd%oVh(8!N*XRXfr5srKt7bGATq8*YC;rVgG$O!l~#vc>(}NdIai&YK{XJ>@8!mX zHb<^zcyONhrGQDQWK&fO{VsGA9;!GW3;3=*xu;VxOC7s*^k|Xiq3y*{o9*nJn{IT2^Q70slYhwL z%p$A?(i4-+LJM={xnmR80s#JKSON0R44c+4p^O>F>9&q@kZLL05!CS!`4vK>7Fn*0 z2^CE!Y22np=i9DG0~%F=2M(bg{lu%Ic1INkWr>tZv`bhyD@rE%R5*#e#iGV>ng8-h z@@$i0#HAHSLgwA+V4U`kc_{ctmCg%KBX7+9M&nRlOhIsn>I38w{-#%eejD zo6@lUvo;=HnQhX3_!@%iifZMWytA9#0xteF9flWU%i%j}Y)l&ZD9FSlo#fWIVn#V{6)7F9`rEY^q!dQS4^1;iwE8E5qEw{2j)6nf?+`IGJg zS;Ix&Or)=O5SRK6&s?B9m?SHd=LpiYv|vb6k0e=efIFDI`Z_ z;F$Uzp@LWo*YnH%I1%s)_X*s?{Jgx_YnfzcGw< zn!X;R8!#Ko=y7%ruZBh*zECqC&eoXNB>)>-O<`voeNG#8&J~K7P{lA+GTSS|M`d6k zc&W*Y6n>7y@DoBoD=pf8x^xNROAV8UW-s=x4LD?Pz{p(_1LYlBhC6AX6|* z@7PY?GJ3NEXQuxN4YT^puc+E(f2kuIroThcWa^}Bv_MKp0jFtyE^zpdb7|+=Kwr(` z2Or3teCYK1_lLgjH!3`>9etem;&{Nc<_`zrQ%H!U%dzyo09B|}1T>BBNaN&;;|QbZ z9@mKVaJ)y2n8*FKN7DFe7hI@=;PT&%n?%}QB9U6J=(pH>l_rEK{=Mzg-As`llxqX z;)p{cfC;FyrCgLx{$Z?ugJ#I)%gxXUx^7J5I)&6Dj~0Un-sG?ZRu5qrhS6CTR7g(B z0wf*VM2CL=LVEhp+}z9>&$BFU#ZSr#RQh%n;l+Jh^&80KIb?zx9}OR^L_shi*BRVZ zBQT}TD?gZK5#EZ+j9~SJ3(C3Y+X2^QAs<`GMeS6<)eul34G}~LG(?f?#l8v*j({S^ z(x!1BQkCm@jpKj-Ktz;H6{9=UE1Tjm7cb;%;MbbbbN`WOD|wPw(e;dg z(H+-~Lf^Y~tr^d^Xg!LlRsMSez|Ofs1&h~u`%KpVGF6-fn3QUHx0BbhD#q#vdd^2^JG5pco}tM6{58d-9H-W$)OYp7K29 z9~IWHo$o(*haKVK=cxh5*pd7X0HXx3C}s}}vm4pr`fuy1yeu@nVZbhPsES#sn)k#IF89@t3KhOfj~Ie7KeXmjB*FjsDF z+X2(f-qjEo(L?0V#AlxK?3hcq6-I{^BwP|Jj3 zRvu%woM|I;JE7fCmN)Tce!e#6z$5b6FZ4a3@$H12<5o;!afdbd71(auLq^-zn8K($ zG#6U(qJKERN&m8V!Yx0R*3z&do zb*_qi7wIc%A>*vUD}PG+MqgVEAe*Lm+#iD8H!E9`Zy0%tFGheRM>|}he9?zIh4!4r z(U!$;8^7AZIMU{K@^@EV@r@(zf~yoHUzYonH(vw~8sC6W8f53VbRsT&HTrkOzD4EA z8MR@br5anT7aRqwCNd#EC$ZMWtz3?F))ot8>$ePnTsNz`%AH$O@F?$D*lAqYm54-sJX_4SLB zlk?-A&W)mSd#Fh;ae+_E9wmjb*~;f_2fR_dz=(vJL$gNdT#p(jJMO3Llu~EbPRmpz zzY$eF-CsG6RE(c?(r4%x3PzM?aiw z!P%(1OD{5t04uya_~@Ftxl;xABwu+6L{7&OVeB3W6f~?78P1bpPMnxXE-%O2M558S z?u7m5qgI(1eBzaE5`qc=#`4J9qmcULg+R&Xl-K&0_?6AuhE|hQZ zwaNTHcF`&Xn9@sWw<#BXrlc z(o4#ni-$?$yB(}}>7f(aLf?+xTftdork<@LdH~T`^!##u;Fc73_b0mLfThzjDM&rd z3@kInZVn)_63BfESYt>bOoq=GQhDlY}(E8ZpqM;_N7b?E{v2>mJ{7z$EMZ zJjVuLZC#-r<&-M|*rP1KN|)^kV3n5m1HSJGU=Jw3NCZ4L`39wpEgN3GvtU*19twYt@xxj&R~*A+s@W#U zQ***(UaOi*-+uPkxBe<#r)HB$yWAq<`j23^abpn6)*e&2*+Z<)ZVfW_pCN-jWW$du ztg(uk9geLT!$94wu3k1p!EKpX&Ye@{kC({=nJWowa7oR2fh%l(m_7xGHJ9QSZXzRE677*W z1R+^0Xfn~hCvi4hW3Es(IxAa*B5Z6nfYFl)6aO$_+?#)|2Er`|OoUujHEfhue~WF6 z;##)ui+++LGK&TMmuZ)1hf@ZM$^7FGupLG7$E^Ii5;H5$4`b-N2YYvmh`f} z>$;d*a>42s`sW*R+BO8a+`l7#1GtB>-{O-wmHWsW!^BQL>ff{5-K{0#zQMK=>|mg` z-b>8q2ea5$w;1Pl!>Cr{)E;V$l?-4a*VnH5l;Lr>Ebg&%f9|1uQ*7__8C$jA$!42b zN1mqwR!GB&vbOHP@!39pildE9TmFdI<~{&B#NEfP|5cPo={L-H*}`y^KJ;I3{dVXl z{$kNq&y9>kzf}{}?25EutC{*!_Q&{_(>Zpc46XkuUBX)Wh4s?lQiE{sr7eTgpLcC5 zT$xsLS*auZ4z!6bv23rzu6Pvq9w(Fh%F`_*@mVmtyfiXdQ?^Q`;zBu#Cv=0cmTb>b zW6aI6$+G<>jczL$WCg#iV=*r?G}OXxp_Q|uE39EkozL&r6rMe4r^Y@?FSDi26*4^GXvd|dvAv&R zMZbzskhOi1iVAfrUj_tpNm)ec@XHz0UDo4`&}p9WlyfbX^v6ERT z%WmC4;OV+_(hb=QHeI_QgdIX*Px#L}ge>W=%~1DgXcg2mk?xX#fNO00031000^Q000001E2u_0{{R30RRC20H6W@ z1ONa40RR91W}pKA1ONa40RR91W&i*H0D(sx<^TX9YDq*vRCodHomp^Q$C;SB&vF-R zmjDQYq(Bm)xJZOHZk8xn5*cSC%PQNMDwE^NWF~Q?Qkmpo%CC8{rjnY<)8t{QQWGbB zn3_y^EZQ!Y?U6SrqHIglLW&Y;k`f7#009yJu@TF~UCue(`Tm2204_jXK$k3tLX#Kw zo^$(j|NZa%_uqZBD!W*{S1B*AlpfyLr0K^F=Gj#6t?6b)%(ZfK?I%WiF@R&*R| z1vb|;@q0F#4?Qom9UZM9x4EaII{`b${N!@@uys4njIFVL)E0!r1`|5lwN~quHcd2; zR#vB!RtZ{40yx0ivfBORp6^%(des*~+k zPO5#u?S||Y2(-GjRV5u~I9Z=o85>1Skv03RavQbP4=NRHf&%LinJW0GiqA=uaNlDcj9|C02~WN0B`zrdmz2-t-@My(IPoA8s3p2 ztBZ^?LZouMkMjOYt@Rn>N8jJMvpIkC=%#ag=s3E2Yj z>%jk7q+^PhS`;p2QQFRFb>&~oi~}V=L3F0ZmasBXtLq?2jWW(=Sn-A`sCC`vMv*Ez zOucEUR&1Cv&`h_ub7y~Ttu=patlbnj?w`{!cEr{KnDp*W*ZX|Fi(}wqu|K_#?U-`( z*@3bA|LX4El&ds8Cb=VS)#?K+HeEHLYD49=M9SZ!tyvGV)T3j)RiX%zL}l9=B&WeB zXOlI0eFo>Jt?jHhJ{2u9s;s4@JC(0bJZU1mNrmQHz_1RjRa4R4?wZE*8b?J>!L&8i zRhfTInYv!3Ub>{zk&3y}Q-r}ubVgDp$lZ@E--3}_3l8fR!J~LD!?2EcCE`+sNK=5R z3AtA>z!vHIw%8In39UD=}f7 zf4<$n-c{ES7TrI=mTcAz;tIA)OKjwZ0Q@nNnIV?r&Y9B1^O@098KEABeiNq!^lWPuZ5l)Ks+X& zM=LrwI2DnMb{V_VYmIY8IqpT}hF4*gG2gXg>9t<= z;K4N$FTObCZq7XR+4vxn=or#&mAllJPH5FvB?=&PQl~KX%}fh~C{<{a6z>p24IwpM zj>?TCJs0DDctKWP?&t}#SU-GlJG`yt#pgs4$BQxC{z4n8K zhM_`xdpD}9AAk?atBiq`Y+OW0}{~U?Y9tLe5QB;8&{kY6maSyLLI=ntK^jdaksB(s` zk^`z-TQYI9mPyQriCk<>^apUz0|9!$#|Xy%Bdy)5&D|>Ot}sz#4Bo^3z)UY{gw@bL{;%G&8z)W6$3Pk)tPS$J}JH zXbOcyz`H%G*4~!5nO7fp*b|vV>J3vK$sF_$HySrKI^$aVadY#|!oa}o2|>*1bVXgn zD%zgBreH`)-<<)@3mdd%cGO6B>xcn?|9Kr-l~u0(P&?}C*|VR0cX;0DR_vu0A)eNY zQaER6+`j4f&d(a*`;6Sz)*wl6vFp$$YI{Y zS_O_u4>FUIF!+)QBdv{IT9Yt3de9iPftl>{P`?3s-OG$eCUEKbc5NO6pSeqjLPXjI zgxya@#`(QX6gn8h(g-s-YP_*HlrNk+mw8cbQQmmj^qMMs_3~ZfukO88HPBa`+P!Pw zfO5+#oEYkF zZ{Ln<{mDfpP11yq%E8pkC5n8<{KW)8A$$CI^%5ee))^QZtXGMs0la?=;2y!Fe3aIb z)8060O`5+e3j~qLDlff-HPJ@n+WR6c64M~&pnSqq5<6m3_U-FQ(`qRb0}F*-%6xR;YDXSC=exaz0H8u;S>{Hn8QGA4XvO1YZ0_K0r52goAv?`-BTu1 z?+uRXi|y?VlXIa(o|=8TqJ(K{Q%)hU>usbrJC15ZYBF<)A{NFGfcZ-0;U+OOccHN{ z0lsdL!4kryLWTe-jNn7yrn6%CVhB*;) z$qwYDJ6)rW*Z6MVtM9CrSls-Y^B(;CT~?GZg@Wt&j@bY~wjdQu9_JQp&WP5||4#V2 zvv0WJ(%T&nYLzH+ku-HxQBNt3A`r1gxB3vJq-`X{c)mN3$s`6kI*tla2(7P{g)mT2 ziIEOOg<;tV??9e;1u2R~#_Zs`XKMyOKT8MmkWl7j30If-+^wn!K}v`+{ebxMtCBK} zjm6(@2VoZPZS|Y7F|bOQvQc$sE3Oje&f>f5-c|`yHmdGy#Z|)GS$vn>+bUtoM%A6I zxJsBii|?{~TO~}{sJgQiR|#`x@m+Rr%MQu3wT(3Rra(TLw}S<`ovcZIn=s_kHn7ob8~aCJ zAU5_@BFeISTsNI;QQDQPi0KUL6yGLZ6Ghg!PVDTwQi<^}wB6Ka^N(yuT`huvWfR7j z;!eW&FIZz97NUs6EGjAUa7|r@XeYbX>?Ss)JkNsJS$4FYCTm^}IrzkK_N-0R*DG(h z5bPk|yDlBc25MFGGU~iHt_m$Jtd7Q8MnAEsidJ~-vQ4c~Dpd%J8xzKCaFtgi8z}Fl zCfXm`oEZhCvZLwCCJdp-9W159l0t|dX<0OGxxnC&6*k-=X$fTH%S8V(sZ`bXsQ8H~ zQj&%9;Z;@JS5UP8e}J{mjiIAljOAEvP>r#1PS4n@?|hj18vtTyVfjTEpr=QrhfR23 z>m$16LZ@mHsoeiX_nnRocF|eeH(M$Nwi6#lU&6*7F~)8HpbbI<7$&EDy?xAtSI%Gd zz7Is5a8sY3U0>7mI#6=9^Wz>oeVq~7Uj{Y|)TO=Q9($Crc<>S-2YPyMI; z&R>7WD(r^Joja%etjadv(5!<#@wPw^PgQxbMKH1tGuBq^rOs{Ge(&Z}?c;9(XaB7b zwd{FJGUfGqzB=c*wi5vQ$#5S8j1drY3*9cPrAHYcL@|TFea%nW^S*C7*y2&5v!?-n z=_TuqB~*&kr&jH_JCKhiq(!_yH-1Rul`RCkNuEI}DCU0L`NFS3_@_f@rlX4mEe{Tv?S9+;>q&f$ssvko?`3bnMxTn$@TjP=yExE+S#0mTHzI|d6O3ShdBgb^$ z-ijAB#OtCoy>;tQrp^yXfM>x1LJN^eymkKay3PeF%)2SvyLBrWf+p9@F6sLj&=yjo zHiE1fqR8NJw?lX|$K>c^5Yp-Ul6|xE^2{;iX-^08~M&%5p)BWARA0dq; z+G5#+S^BV-{zOZg${3@qftP`R$l1WKns0M_*@vSKUPPcS%Qe_qKRT z%6b&Yc;3Adyf4&k&R(&j6Az4<}V8%}YG4!bWRZ6!2J(kfyXw=ZEp8 zJf{g{Hq%!!t`v6!I=Mhv@gnUY#(#+Yk$J>v&V)D{s&Vc4J$Pn))Vq#!W#!4qf6|)B z5NB>E-C(RPsXQl#NAE*S&@W6_xh(#tEwDl3oA!w;*SUv;MPqRX3vIp~ROTB$XM%fOT??)Ia_G8$9mxqI_$1g~A?h^Tm@b<^ z?QSJB_-)4qe`(TLVY)faz=|XcTvIh3skI=OEgX6ybRaki9fWO#DDgk}q(+U!yK~*E zaJj_Vf~B6!0YaSX7-pnzJ!-0j6ka*5g-u+--eS0g=jA`gFe=OWInFh(+<*O;*z~!n zz0&ugLpsFE9EO}-wAoKvqtuiW17oPAA)Xf^(5K!=ofg+r*Pl5Ybh(z#*EmB zCpe4ad4|0Y;%q^wxs%&=1y`UCY%xIQJ@&`=$nOV*@zagTnvu3eJe+u>i~KorW+c;C zoo>k&^w*2#z_AxN0P=#DuNiM^W81?rO3qI;Y0i0iXzN+Po89Z`xudGwS%*^p2ntZ!Lp0aU~G&7;($P0W9L2B zabL|9&2PGu_d7wt;%Hj<8({)@1xD`=toQFxiCc^@38V%aAkPR<=q*y?V6i7K_WNPr z{NT}6IS#D6(wwR~lPHES!Dw%x0?z?{HfFB4b;c#k781R%&Ox?q9t^U1q9-!Y6{gB| zjP13>#t|bCFTf*~KRE}0Ho|Ahl|OunqL6)2imA2}99gEMyzvo{u!)IU+~JMNbJrso z39%S)7t##{PY`<84(?v5u1*YlX^13zQfAq;OGRhSgvETo5k1%s9F|F+OvC~4jFlyw za=?<<9G8QVXUd9_nAZ<7W2w*NVWc9W9wIR?GO+TJam3Pt_~6lG!pJuIE(g8M^JZp7 z_6Z+!F1XKV=UMtV5EY|cCNeej8B<33!V^?MWaKEYAHXF4G&rt$wl(01%`^D7>V_Da zJDB&97?~PuVJ(DqWh_XgsIr*C;_GuOhdRpzp~Mh{J>uEut(v~G-+c$PWLjkYC=)K# z#pS3VDP}Ht2OM6&?$)3l8iK%VI`)2k(`&EAXNi>stV9zeNLe&yJv4p*WKAB`BI+{k zA?5K#xWl`RG9W2r~N;-4(>7NkqBrkDY5>vk?+|H_}XCgAel`C6X}li88SAE}x%k(73BRetv7#65g}4-)YOqRxAOJp)TQ zaUa3}e94#s$I}=2+(Y#DIE#GOIF@h5+gp)@`O?1RWnk}o`ORz#9?L@vtd-F~7?cYm z5kx{1aL9L7H8a5b`7T|RjF*&W)B&|h3cI{zaqR_&d_P~NrrR^IwG|B}^Anw=&KrRV z-+J=FwPkMspYF_89z-!;h-|b60x(w*Ld?Jo=%U6{kx(_sD7tgR&7b`0zB(4(Zk82E z7*S~y<3`R|M)X5$!IvOHBWAKnR2gH82O1HJ;Zrp~R`DF1-xbvqE}!^#Xz=I%P(L<5 z0`RjFwknk!-+~9Uiv>Q3R7+%m$0s=$LI}b{GEVaGiVdP}Kg{78r$tc9Dlfk^$Qn_) zE(i;IaKfIWz5ApKiGvEvQ*gseoNlf)XN%fbIEV~eT3bT=6-gMuf)MAm*RG$7(p8=L zP>5n5XOKxa&xLH01C8T>whCY7IUc!MjLeVCL@IdZ8O~Unbb6$zxVRJJ)y8)uvxg&$ z)lMM_?{N{#i;aOYIAhL9KAj6a)&11I#wA6mbGdXKYPiKl4$*1-EKPF$8&VGc#5}-f zBpXY^>MhOQlUag0b$Cv59}l zd(46mO5-}Ga0nV~;64{jc+ck2LnTYxI1%+!eFh@lE65T9CT+x@VO?-{o$otY#y`yo zYVRde=_L_`b}(C}4NvhKG}}g#E-&s)xyJa%_`*e0Pb+Vu)XEP_0kvV&|Nmd&H|K_^J^g~mV z$KtPEpLjoXO`gf#BQT*XK&3@POz8*M5lK>-Bex_bWjoVO@}FsA9%4O?!ncR;k~Yui zdmf}?)S~pQyZGEq+R=MYKj@!EqRLibv-4ITLk}z*b6YlH9@#Ot!Smu@%Xk97c-8V7GGQHqen`T>F7julf${ks#B;W!b9CO{h9VvxTmA zF{lG{EN9(+k?S~ZXW{PThkw-L)PF{vA!xk2=z5!RPn!0slZ(RgtwZAi*nB?-MI_~D}jO-q7Ce72}`BYnXJsIYk1;A3)}&IRMep+om-G=<3S z!evopEL{EOUASOB9QvQ>_Zd20OBW@2{budCp8!?V5UPj7iYWRIoKy7mpt(iXKo%{B zcd5Wti8rFa`5E(&|7TtI4MI;hrfmg&ZXOkKiUf~SNw+i^gYXUOHQx7OruT?g6|gDA zDV_f|YU_K2g8HC8QdfU{pwtjA3e?mW@4Tae%x2XO(yuVDx`+asoopzc-s?D%KO$xJ zSkf)N+yC)}d1|(_hh?iW+|EYyCv$>0jVKvw+0ynGxg#oBLf$F^r{YrD>l3xUd#j^! z#Y^L%{+HggA#U;}fHe^% zU^$AIwB!9Ah8fvVn=T2@j9fi;BiXR!bwA;MXdL^0MU~0mU03&IO`@-GB|)y+@{8c+ zC$CSu3M>~rS8qcbY=@IjSI!twgyV^n?i;eHvQKTkDKWy4;)ljeR0e?Bum*z2BBMN6 z&BLfg@j=Qd!m17{AGW}!A)X&`T~5j>qr8Z>1e0_Ux%Dm#<`NvC+u#vZL3&ta96Pr@ z)sR~#SL?`;Hd#pPBj7nmhU>-Yt_nF7eEk-yk<<0cdGD)E_mZD9SeVF;dD@KPsIUhp z8jr&8qd$JKp@dm()n-f>+_)lx6(3t9W-fBUoH1VF$dPz;ZDy6wRsNeetmAOTA3>Bq zLS$=sw&qryO@D`oO9Y?HO?6Rw`tM!sb=3S}r?|~!6}VG4sQB7zmrsw^k{#5uL9Jy9 z`ov?{mPwVjXgd;1W2`f(u98~dKeBR3+u_lp)gO*#)W@k>Wts}gzW#=q!P}yM&HDnv zhy>Syei^JV?R>frrwAOkzdv?PXCB9Jj&k^XH!F=@xSyST0a5sYHEWuApG^IksXh6D zdJx3vp`QZt7&_Kh;Px)%nf?>%SXmM?yU9c1tu3Qek{I*5pK4nOv1DS*Zp(9=HCPV| zUB!Jf;#tk149dx^OJ-}5g&|3P;DzF$y#L{vZZ;eBWmMg1Hx>RJVJmc#$|ODeUA}%? z>dY@tzbA~`Z*qKAx9_qv6(xhd!su94RhCB&-7@$%zpcCdI#y-GI$?am-5|Y$ZN(u7 z{q#gpq~NcFXj4^mC_BKqCpQ~OnrxgROXfG*Ar?j(S|$>roWEQz61G}yfdMBug3sXC z0cg^Pt(eih)6d|ER_7!8z<4&LuJ@1)rZ}q)A46q-ESpbJ>QXL<>G+u>@tHP0H zS90Or=H@=6W?`4QyzW+Om5Tvq$R~kE>8mVAb)bPt^gK3ZJyV>2jYW8&smX76^2q`0 z(9))p?IZn^Viqm2w7-m#VsDf%tiRsI^t{*!+EwV|P0y`V+Jh35O1;xT=?o`W{3@ z0<8Trgb^gML~5Fw?RZPQ^DA`K8ulNYW<{3OfQU?Qwr+`?zZPS3fS;0Q zjou#XSYEJj>7d`uPmnd<-&>`9vN8kxFs5M-_?{ZD{6v_|;Q2ld33Sz1-w)>zW;SB9 zEq0#>lWJ^LI%cC~`JZ)YG6}~NQluTk88q{nBKWS!{?RG+fKF#~%&RhWc~b3@_3DZi zI0ZHl*Kq!PsiNJiz{Za1Lik)d(rz_N1Cyy&bD)$25(yOBM2P!a`5C++O^1Vf=u;N6 z<`mW!oa(f0_|g}~8UUd3eb4D_rCl^>&OyoeHj=E;1t#cm&JHWOoV$ijt1xngWuF1d z2ToBe+I-X?CY*8+WJYtj%w9>@izR1%t-JBsI@=VRlLO0s%Q(GjVH4u8lB{j4r53KR zOx*Z>o&1ChaW^)FTGh&{dUjLLill4j->@Rum3*N89}gz|{>fkezMIvWb)MWku)bJm zs4s@*Yb46vk2J8#JFgI@B+B1I65{oKKjcV`3Knk&Wz}d&1D)QXThchma9Xk@tMk6s zoCTE4n@6EW1@p z_*HTW-WlQyIG>9$Yn&yP7acsM^otqoQc)W-3*{E8Kb-U2 zsGy=QrcP@JHE@y=hEL&A}oB)g$Wkks0swHX$oFoC?rnxrI~zrhlH_l@Gnx%T$$ zVt-4@9YaW)I-4k{gsy6?^&;cwT&=g@mX8t$?}8h$-&BSn$(54Fce<}x@|wA~@cv7w a`~Lyj$ITr5*zXVk0000Ry7aCdiihYt-J26uM?gS!*l-GjRXcNpAZ`ESnIi@m6> zcBy`<`t9zDP*#*eL;i{k1qFpBBQ37_$s_+qi144Gd)Tb`C;Q^6DkTb4Jw<%{nGmn)0yS*ijgI`>Zur|$V}P|LIpAh1Lg=@cv+0=jVA8vM zE{_=1h0bG@1*=t@jDN^5H|)+8Py$GfV#1Ckd8zQ94CYHhN+qnC{l@aK6KNrPd~)VK zV;r~isQ82CCmer`B+4}acJI4c%9sYrsf84BR_Fcr`o_?#hwqUhCCyVvikXJS8%epn zufW0(uP1A7Zqt4Jinh`Iw5v7LF+7l)#q9B&C0av>K9;#60!W z;zGZg8r6wkBAI9CPXn}V|9WQVacM8DvbtKL6zNtEgQ@J($(P*k%yCV_zUxS1>#d?c zZ{EuFT9wHLm7AUH>Ijf8*@|mzEGiI^n>2H(GXATTf$F{CE@9D=O z>OOKi4C4SsC~r_Jfkrrgr{hD@E9f^nwLGR`KhLTS2z?`eFV}EI%xfN@ca7gha)CJR zCu_R1(MskzZr-uXFxDS545-UaOLyYvcsg=tcCP9v9aL_~eUc?NX%Si)%qDo1D>-L> z^!J8|S~6U%5S^v1)T)aQUAYt`cBh_~3(GNnO_M3IX$$c zGD*JwL-&eRGV)|5gY=NuYw~?Eyv|4I`e{Q+th9zLkqLkYeFOJil8krgi}Q8UaQ$3X znFaqpysinW=|MoI3Fh60^n*Y%z3W>32N|&G#4Xo|O7KL=@@UvRSD0`U6aCa_y!)hi zjyQI&&=w!W)?s}}-aVERc^YN@Dp+CK8X)HKF*$0Yai)EPLjNwOF^D70%5ty%Ek2vm zx%d^>pZPpct|3?71Xy?rHD*i|ms5N5y0d0rhVDq)PYT zW}2gkuqoos%S_({?>EZB!KTf`6>1Qu%;EGsb1c`);^7;jObr3gA}TEEdK6NF&XWAt zyPl8XL73|1_@JLFEAtD=k^Z73T*No16m=$mg{_|BsJ*+$D1Bu|cv++KaOhA^!2x;p z5|e!F2lQ#6n6=Cn07l<3Te>91XJaBubZncnJ5g_moyuK9x`Qn+?Hxr1xkAHqTJ|8Nj(d)?BE+2?zDcC@x zHl}Iy!A>ZlR0`h1Rgc9HT|4$~qcyD)LoEoxC$VW-vD3^qa;+)SRj z&mt7fQP{e)&`xuRhH0dl`}@dFp!gA1m#i>ddRv5iILDp3=jep&u!5_hJQQ1X zqI3Engy{a2e`B&*1G2Cj?4L_0w7268`6S1@npUIRYjsD$Sj`}dH1vBn;YU0gI zj(*+*PJ(E1em(#Z?gW(`4&}_vO37mN={1Gk^0sN=qp3|Y~k^{ReTbQk`P?+ zlx@Ywd?EcJ7M)x}*@rIVYL)tT5D0$`CwX+4keK*d88!HqEi8$p)t}}Px0XJ9@aEI20-}( zbWuO5ZYJs=;OH!dink`1X#dDX5*LtRJTTB{vl*0gEdA@Ihe9KisGj$Q^tdD~1y$RW z#sI%|=!-*BN82@i3&exT4O4Aczt+^Kz__MrW^_6oPGWIkWRCvDM_|Xrjg}i6f>g09 zy^MEO!=rUUPd}=&04=Yjj)>s=3{kaD$wv6X>b?QL!5mih+^zdNcE$1{jh%re@g80d8IhDny+rcK0_WQa)M|w?oCjU@&|HBaTO+jT1Esshgub|xO!&tBL^?boJ1H}mOV$h%f?Q2$ zKoS@KtLCny@Yv2S)l5ni3I4jUk!Cd~wN7J+UBlR0XOFrZ^U<4b8bheIj^`yt+Y$#S z#VH@cLDI<*fKEru*myD?!uI2G?<_5m6H~ecycbu-r?u~Y;xrsguTIfN{(WoO9b7c{ z)-4a)Wxh);;clcrh3*;=2Hwk!uYB!EQ`Lv&W+cSF_%5$}^p2B@>4veUlsJeeXy_~B zqzB-7TU&tX`h-~cAGM(JC=C((qx24*5pj{8v;bDe!Q=6P^$NM~1B^6qa4$-3tV{jE z?(|&*4G+0qB2i_$Fn}JIq6duo=;+}^zf=ortDFeFa9*TIefI4F6xXQ;UKMuX+4G5w zx~OMx#-#+_AR9dvK1PP7rA-MCFcEg5^Ty@IK41A2A3HlHWQtYIrR26Ju+S*q`6cU$ zP8Mo%Nf;yZq`GV+)Q_+`-x4UBSSUG1iK47-gje1@&=~LhUKMhK@@#(KHVh}~nYE1q ziy8(!sNlcQOjQHkamgHsD)|?xmpt^I8qsPTT-HBl{k4;3So95uODA8|?SXdyxDd&c zXUyHDU$w_dEhAbo?;xRVxpIkMuIMho@SMI8 z`6g3K`TGj#hJ<-r9WdA*zbY2~M}!T~?HyQ>^B#$pMl1-s@q}nTMPF<1HkPng65bUE z!U!5NUt=ZpLl0m|zq#3UXk>@$AxxJq=9Oq0pC5bi&9;7}V?(P5*?LGH4kNnXT&>IzfCjZ#3mU`_>~3z(;S)PK82Vy8qlYa z0$Avvk%+*o`W@sAcRR`PA39y>$HXv#k0b1WN)W54Zs12*-DcEMK6sks(lGbXWzRcC z2We=jK8Ah_rf6`*Nva44E!@E^GKY^+OyFPe1DcniyVMqtQ`8^UKNSUw!$~X$z@zUD z*e%aSQ!$~0vIfz?Ui{R}Vu-z9=+I~1RM!`@ZBLm32;qjIj()HH+rT3udjo_dTUY%#u8@S3IQ~U?TLrx6zuq@mcG)P`0Q?9_6F9gU`;E~4sq^?Lk!@^o^nSaY?9S9u7oR;}Xx69Q`#q$Z zwAX>3620B;RFig`wa-$u4%eCm zRiuw~ot57olAT{|scASS_|-4j?(<=W-Uu$Y=J5_=>xxV$7ME?{JiJ<P%)Lqh+ne>21Ub+p4A!;LlOQWVJRLe-QPgr`PU9jW6x( zATJ+KcYyyO-ZYCV zLJo@f!8L;6Ov~$BvfgXcCp?t1@O8ByQE@n@tKR@Yl3r0~9zfT(v224L6n}&Ri^42>S%!W} zayAm;SHxOA#woTaSh8z2xI;hFR&>E~urviWYa0}QuA2R8!t_kYfYW?&q_*miy+oP( zO5gxY5TY*+p3@&TMJ_mv-rr~sD7ow}Qq1Zb`*)@6m@|Tij>~-{t+|$#bnJ!(1YY`O z<+ccar$}i=sLf#z(9QWh&Zh0J`$wteje$IG5ty0c#PVUkD)&(_#3gvs6>sHm8oxUB)%Za~!J;eqgVDN_*J8sku%oK$2uIvd#>J&Im4~#DE1UVv8ei#`E z&F&V&*%r48o>}$a-lW1JjvN?vo;BbLoM=zg*F!qoAwvqs)LEz@<1Ai&;Bn;Vud@y6 zR*ZHu3>*&~j=R0LJeu*}N<-0$?e>x039tbf%4;tx%5fG>)=Q#=BhHjuRbTR4x`Y-r zqi2^n zgNK68UibN=g6X|pVog|%FN=4`^dY6gayWr#e(rpcamqeQj2w7kt8 z^PomsP{SAORD0;9l7N$|f)b~Vi{HC<#|Olygyd}5m{N}ikccL z^P~jF`cd(5C78ar+Ts>{pOqQcsa_H`EP2q>OGoexuz@nhlEQq0frm*XVR?tl0JiCT zrE+Wnt)jl-`{t~wiKm`^XYfK|xp6;bh?%V}jdkn@wNSA}E81tbN^c4L)=5HmkGlU1 zA>wxf20j8f8r>t(a$2%K-g(Tf28HTAgn2|2IDEPIt-k>4X-Q_P`WTPX8WR*)`Yw5{ zH=e1&ekkQcBOUz8lM(91Xqc4GX6%n%H69M*Ne5Ep1Rdx7q!w5H-uK#9Ug1oP%@{p8 z0~ear!`b}-zJ*f)?n(baw!>h45XL;igpHG|AaOk>eN9l1Z2R0UlTqq!!+7YVsbnrL zFWO*p1c*ezkJ@$89>rVOVC~``#Cf4duG;B;6K%J+pRNUufBAFd#K>54<9M(LCQk(; zBY&If{>pi4urK(iX$fj5mc++H5pq7UX%d=DpScmN=vgb~I%~h5eYYbxrsl8w#uJIs z$KBT7UjS2Jb>ZSJEsWXncRXZ)dSr2$dt52Z=rF}*wD=aAd*v%IrrPXyt!eOg6C~tB z@BZS-0D+H#N)XC!FYR&%Ig9eP7N8cmF`H4@kMrzw~t)q|9|_U7Cmw*Z)Sh zSZkRh`S4q-Iv(Vzs5~;W8;T;`46Q?1F-M#_y|Lwb>U?b2j*cXLL44s>_MEWWq#=Qg!IV%n9}6=?pqc%hR4aVqR<~2GOQkm;7BScHT=QAjE7iHN zxAl|^4j@B@BFE`Cr>L^yHPR7u8;tr@AFc{Mz^)K zvg;qj0-@fZ3x*&DDfq+A0_YU7LK)i)Ycr8VSs1s;eLrQsx0KL-`v~;< z>o?{zUhY%_EYI{Kh_dw2+c)M*k;<%{NKA-mIu0FePSe;1r$4uBIbB#&-KMpD6C-ij za`k+8P@5|?05co-AE>Knj>IT6MEKK+saD@w^vQ?`SP${6eD$4HF!5f7yqn!Pq2quZ z-nbK#UxScbbs>RkGy)DUHytH=%wZZN?H!&GAg83tfVPG)tq;ESiLZe}YsIlVq6f3%)AIT~?Cz#J7Km&l@P3aGs~@2bMqa~6CY z#4%=(glIi{ZBFO5$GjCb;}j0GB6V{CO5$=kI7V;+ZF@XyD?0LhxfmOnHt+W8FTi zMe?np%a%~Tj*k2CRX!I}?ex+>eG-o8=LN=Q^Dh1)b31oRg=D5+U~>37*Uwl!xuLkF z18}}67fL)pWTj1m$M)?m#9xCj0%Y9JUnuHd2L?nM6|5TrNsSsJYjm;X(&o`W9(UWu z?M~Izw8X%;kb`}G;LDQ|yU^50nf2xCSjQ+ebzaXfO#|XQK<`s=oNgi34y6l$zmC5V zzFd!oo_TJTwcBq2b7capDwW9eo;Z`(-+_*m3PhvQhNEW`$-`!5vRA#GO?QlpNE{_R z_wk=b>lV|(Aj1>3p?sGWu4==v%4saiuQzi<+G84$K+oLeW&X-tu`YD)HMtRg?hN^S z-g5T$x|z(VC{?9Gt7|AiQZ1&+5*496p<_v;5Nd7qKRoX`N?Ao|a=O9mi6Y;nZpf;) znhmkJRBGdJM*-M`I!dv7i==K)tUT*ab7->XYO`9V`>9bhaRl!;rRrE0VtLBg^wX9m z+(0_-`HDy5*@U?WO@E%fhPp_8Da+1PW!;6z;FtJ& z%_wE-!4RrNGl?aBUy%=vNNveHE54Pg(0CbVUikgT(xE@YzdN2CqyT1ZA*QW7$ZnVe zw!XJTa|UYGAO$S%d3)ap)1bsooHc3t<)R8v{ZS=zSR`u($LHHNFEb10`q{=KK3^j` zEf*8F@2hCg`NQN!yCo?|k{NZClY8WDcPX=n5{c--A4n4foyqOu1*ITSRi}!UDik4Ze^$0FbEyR0CA2%TmLS2O`7+ zvTs5FDP+DG+Pvj!r4xj%hqyLZbh4`lWVwKOVW#WQWv)$My@Sa2H-?xs{I5x)*_r?S z2;pRb!hj+X!+1oO9(9F|zYu;>b|k~B1h|L2>u4|kT}Y1;k$N1n{eo1rR>|n8^lM58 zYZn<|WB?T@lvSOWAlL@Q-aILn!<7*4Hpl~3ZQJC3%6A$gFUK|5+1cm_875nZtEsxN zIx;c4(sNjMJ@B%+is81bcHzmwFbHRoQKRWXBkJhf^eT9sD5o=Wv~I!j^oVu%(U#5} ziqTBMqUT@mYQIBPb1462J&*Zg!xYnG1h17N6xL$0xJ~q^LJREeBikDl{8L()UEEMhY4NS1!Uu-_B&=e}k z%#+DPQG|f$?fcEPGZdq%pY?~A}Tg^vv$*m4l%rpA((Rh_S|kG zV3L!tA_|%0r4d4I!^yPpJoGV-s`r%QlfF~|uX!tqGxSeUPDB4NH@EF#tYWrV_p6>f ziP#Q}Py+c+5szPmsaJCM1?hUehF6v|h=-o6fTAlgM=TGAR?iN)jwKsLnUQD=D&&G! zk|2~n2zlsk*?_<&x5gX}B0QROwN zh5M}QV5Qt-ypGXl=|1t@9PInk;RR4GZ4q6_Yuf7M9WY@~nz2z?-5=&xEXiiAJ2;YX zA4%jS%Y5nz(#V3?(Pb5K3%k!b?TnEPtgvhDu2}XxDS_D$-QnZ66;!weH zE4ACwsegAmu;yfiB-+_v!5+A6tGjA#Shh3T7}Re!XMQkooI38#XR17kC}=mVtT zFjb7!&P`1OaGcevTjXUjPNl%X7vUrX_!Jr1vO2K5@x}@EsEaWKAl1qOL0S!=~%g!#*FM5+GR+#Z1lV5f=~ z9Rb(z&4*u2(+k4*iH~s=buDXA2zD;lvZ3d>J0XH1@5Z-@*#y$GHq%qt?;TbO$_K*$heED4K&yc|}P5 z<7DOqy(UMYS(Yig;q9^6m7$Nq!FFGrhkO7+bk|_Kg#)`@xROdt9PS=}T!x7vhhY6{ z#E=ha*PpEQv~9)4jM9N@Gm1X1+c6sPR+&>MfhxerFP2fFUBpm%4lhty`L*7rp=wf{ zCb>w~y zVK32vM1!ZRn+psdNJb#Qd6PXP))hW+Ypl#ah z#XI~4lM9*Zvb4=G5+Z#G$rLUHF#^7XQcurSJe(dc4eqk9pyiVi2@Z5=BiEpRr!~~+ zDkR4UYxHvE3P8K|+M^sA;(T}%} zckh;u97rhALGTq$b+?Fa{(^7btn+DP{xs!h5>Xph|3=ijjJH+88aO*dJenjmw{Nr? z27Q1x6>j($$4Rc+te&sRja=ikNN%>hHnG=DObS__zZp=X`IYn!o1rO3QvWzRq1P8D zNaCV8|fZYG>P=5&5`yCr$3>gT?NtbEgr9IKf$xzznqKTCb_wD@R7C*z79(% z%BmN%J&R{n;L>*~hLB@tmcR;n!+L(=2E7-CIu*k|b|MKOw6vZ^5hAy0nCWWf+EUFk zlfI?ePxC4ze6swaI()%kOv)L!mBr-tfDlV>F6svP4aIph@9gPJz5|Z6ALoHN z+BQclAPN+9U0UxJyG{&I=ZoOS^wmISmp{cZc(Cl{V`no#4$RHm5}bHIH=fTyb=y0) z)wd74zNza|_pcUI(UxaVo~}&-yN!e#pP@AM(yIEABhA+{|GQjC@9>59Q@hqIwXl@5 zrzzKNddh-{w0)P+Z_ntFzP^WF+lC7vh;&43=Kbje>JbQ~y?l3=GM@tWeXA&=ydfr9 z%T9&Ga@I$T+#9^upm4ub`K!(Vr687Oeo~|uF&>S!VFrU9u_a_%>d=~Td(J!g=|7V= zV_~r)&ix<|x_vuo?U2|6V{{M}(kaLjED?FK#h0JIsvV0*JX{1Gxvt*WAq+uNLz(W& zrtinL5mTw^@3``{OZD3v>FRizgpHV}jBz1Z0#W?bQ{8k%^6;MsVl#UlV~B{duUf!7 zv-r{QcWivuM|3w<%d-R%P%hvmvdEd$;n~B9PpXE&VJq6R@*mNzniQ(LuTKZEM9Y8f zUq8iX^wN36^tGdboWWCUJLYW!{*Z{(#3P^=b1e*8%c`FLH+W=hqgDd-`bqGXd|!i& z0n~|4nXy7J`iY_+p)(PA`1PGjZ~;1McHBSz_KX56m80s|7>r%d%zOE+bFs z_R%j-Z$YB=A{8Jc{=a{`{4S6hzpfaM(Sz2kVhH;@!>shQtV<4h9=zI}--<(nqoesa oDcg~^{vUo^|5p|dkQegNE;-Jn@j5>EKaVpR2}SX0QDe~m0r+fWD*ylh literal 0 HcmV?d00001 diff --git a/demos/speech_web_demo/web_client/src/assets/image/步骤-箭头切图@2x.png b/demos/speech_web_demo/web_client/src/assets/image/步骤-箭头切图@2x.png new file mode 100644 index 0000000000000000000000000000000000000000..d0cedecce1b6118fc5c29980b9a38435e112635c GIT binary patch literal 5515 zcmV;66?E!}P)Px#L}ge>W=%~1DgXcg2mk?xX#fNO00031000^Q000001E2u_0{{R30RRC20H6W@ z1ONa40RR91QlJ9>1ONa40RR91Z~y=R03;pri~s->^+`lQRCodHom-4#$63ewoYTFt z7kgRTJJU0}Ytj#P6lD_>f?^Vggdrpn4nA<}{q=*-!Tnqxl0~U%b6hr_K zg+z%2hM@QXu##02*%5M#u@gBV2%9XPnV#Ks_UgUNbT_~Mzp766nT+k3+3A_?>8ai6 zI;Sq@RQ=DtzVEBA>U7t7yb$R-%8m^y$;54{ZE$lUpOx z(5Cy1GiT1!8;wT&+O=zqB7_E@UY(npdojzh?&LzWzMh+r&p-csS^ChSLp^}Y0JH|4 zhtHos|HJe1^9RcUdk1SGU`7ID0|4t+u3V|_-@m_6C)~JkqYjYuJkRT$PDd<#ae8{X z4aOD&YhG=F6D!IF&@y4caPI+VP0UQ#kTioLdfgs76C%~P0%W(_HQNNBhPD75EDlQ# zkoAVMXU`rds|0zl%%mPyfIM>KNKG1NKs{o_D)9{`>gx?HbC)tP>*@ zOgk};KMij{b$*B&B~p3bEhutwVPWAO&5p{92|UQ}z4zWy4$2@Ga4Af2prO5QUz#~K zFpX9+SXo1{TZY0|nM*T>f_I>dPD~(%?s7#&9zJ~7HYC7ggIXIfUAPg+C=eAoov77| zqSj-$GyLD$ZnxhC{t0=Pn}iP=H;U+Zy6z;z8ro$)2W8|SBUK=cZn2e9z^z-Bmh4m^fl6SwAFNMJy$g2!)jFpEgTJjyVWdJViC zb#5Z<{^ZQe%-4wp^R5dOWh3K?9NJ3>>Ym0{}YZ-}jjIvTgn>3Xs zjZba>gFW^9@x{e6??Zl0D|fdAE1SWgt)a{8#vn1i%l^uSgs48ZTx3YcVeT}UL9uWT zB_8U7B!)ZSc8MhpI!&;@Uz+`a2Og+A#PUXCdf=f=+t>6*#$nyiY-VL8$1@Z>K^oGU z-Dsvm-9pF98q(daW@{4tdy+en#fKB zq-CV8Qp@si*PiaK8|JnAlkm#>-9eZ&^N?_V-cw@*1VhXM|QiG zlW1s+ack^4hIiM#N^lH@dQp=MRYoiWZIO?e-|hh+YQq21M@I0^=(LxMmHGEx>1CqZ^9(EuY1 zTp&ksNO%-keyr2&{wZ?veK0#ds&vQEiA{#ooSX4SM*9&FhX=@vloctNh)#x;W@Ocl z47VlCc>)@#8Ps?l80q>h#!>Mr$jyi5=fD4&)ZS5wZIGu1ZG}J5*D@pF4?%;}w6hr$ z*=Y7jAt@iA#Y&k+oMnQYDrO}08R9$!CnGX5hWPbQy|B3Wi)6`i8kvv}$sZ}ZD9FiG zT^+O`rP_s?VB^1Kq!87qWhD6k%5`LmhJcKaqWa+C;?kd^Am>v0PRCX@t$|HcYS0$? zBY(gkms~_%2BM0r{Gou1r$JK#j3vX|c|FsW_VCZ(d&MexBj}9#z@tAoHgv zr-;MzN7`>G6A2c|Kj|1anJ#L2S;!P3-KJ0juUk0IY7G#xdBjL=Fz;eY+2apWiI_)% z%SonG_iLTbp^u+9aroR$0ZL!`VTk_7coQ_akBFnuUfvzXh2cyJq;n7>B}S!&tlcFr zMaU2bW;*+)i{hn6=G*Oeg^Jt%X=O7wv|-2){gJXI2||-G9?T$VXb=M^gDj{x2zI0n zql`>IyRt3~2FDyKW?7USawlm}?8#Ub>Oy-ZkoWeV9zq08!ES#P`sVs8=#lTAiGzfa3ildh(g1 zJN6l?E4+7krSoNs__wF*?TF3D9r8ztQwACX$mUOOdkCPw(&i5jN<%xEL;*KL8=w)g zdQ6I8XW%7=R6D-X={`KaxcJB0wF4wE(k+u6iN@|fXmxZTXt_abt!d?uwHswYNSCqq z2U_;09-Qz$Obs<|OA{tpIE+V-(-7w$#7&Y<)_Z7!F%>?XD?fx7Gvqm!oe6LuO>v*6 zg7mki_8*mFtS0-Hl^q$pqOBqv2LbIxg2a( zihwSMxpI~0gpBTh>ua;TIJL0Q{ut%tpczW20112C3ZC#z_#=f_oUUlz4ZET^^wSlo zl?Hm0g1rL`MO~sSpjlH{E=W48A*?UZLr^* zB=ks@GEx9k%Sh-)0X+<*yQ0|YGD^;}x1flgWLES${q&G~v!4PoYqeT#P?C|{#Cv~q zakRIW7<8D2rQC|}~0YmJH4@5bfS{cDiGfbL69;X!5pxn>E&SzL-|5cseY{;V> z>FaEEe`IRJF#M4bJWw;QEdebfp`#3PDIa+5{SoKN1Q?A7xM`ZgOCl!Ap#Uobg<7 z>>b^SLqBpdF*Ke+`d_$w<;pj4fc$*IVxzGQ@>FTm{gJVqVPG?4J-n3&P-Y}>nVlpN z%Sd;KjAV#MR;GN)1cs_uHiMG?B8up*H#5c5(AHHPws3!>=&44=XP)kWoC_?me6#TK zIUiCu8m=0`oa$H?(9q^HDHHljrbn~#g-wu)!ia+Uud=?g?8wzY83I|c3%PIvm^AMD z0cJ(d0On7vuKP;oRyM6x%MF!`RN?XPN78vPPiWEsw_O;~1)Y|5B!H=Z{zxDyLB|Ry zO~>%9grzp~J7KSVCSpu07*^uEymX$8R6*<*MKNO&reHQ zogNA(Jr~6ap5fdLG?EHgvd+9OQ`C5woK*%+;N%dWm`9sAq_D8BO zCSdHWK{dJp%z-$7l~_uZn5XnqPO+XxtgOkwJ;=_d78aI1NS-l^H>sJCyUia-=OiOz zA9d(X3*e9@bObG-uyiig@uOaD6ff>vUru3JlUZJ+R=7Nldv zW9N??Y&_jDyVRxFtpt?1nK~LVF3Y4#1kjC%^QiK(nqsm}bf3yp{Bx`Qkt`|1M;I+5mM0`S6JC9o9O+KZab>Z`&rP(;c{WPB!8r| zu07=TN6K#Ga{SS4F2?YcswA0C>RgRsnIs2K5!1|OaIVcwUiE$L z;qQ-R-V=wDTDz70NDv7K=o9n;Z~?ghaFDuAk0oKhdEMsO5)oL?uY&M&Z8mv_x6|F6UoK5)D4gScawdIeL zX4W(th3uE!bsZ^cvr-!bSS#SAMV1WW{z$)NquI1PiCT8>5^ESsJX);orRVbkJRRe3riO2kae(=E&3 zNM^AgLCqLKd)7P2R2V?lOg879;p`4Wok!?Vqqw;wxt^w|=O z4IWt83=VAs?Zo&a!RpIJHuc8Y+37!nh0#gBK?GxQ4{eUE^C!h0NoOwLO4e@>Lq3w?}NLls|tlj>K?s-iV5Fyt+C#1>qk_taxQg-J_6nwouB07mlnKjj%-^*6tgC4tTL2L2VINr{ zJPEn{g*aq2)ANg;RFL@R_G*Flp!2R6cVckrhW6-&Oxmbqs;O?8HdCtGZD;l3caKd^ zKccn{GgKJ4oBWZ${rUY<``$XY4It_P3CJv&KS@T4V)_OFg>l;-$vVdWA)$U5S@@yV zt}b_INFSaerkTy)T$|xCUj9gJy6AQPuG?98C)2yH4hgT9y=+BmkFh`Uf02jx@tx@p z96NUGrI+pP5Hl*uX59Rd*cf<6^UpMAr~g6&Xoxty>ZNUvr&43)kNj@EUi=!e@Dn=? zqVUtuR_rh+BUjszqvDUmv|7PP`m1Jh=KUDf-%f4c>DbC9Y3)(>M`ATTi%$8Cxw)CY zg@qe-bqy12*|sD9zBUsDy<_*extW=N0zjGRBNr;lM*c`GeQC!o)4}llk<1$O-b@VP z`y)Be8S88UjaycFEQD#}DAORPX?mgWkMzujX^6~K&0_Svwq_rCUz-8SWXF>fU0mywtm<_4l{sD*snfv@W{m1vBeibLcS^?fZJp{nlro$a zzJR|!QV&d+0if2kg)>iqn6g^j&a=ya`1dS-KJNRB(MKK`=_aSSc4~hDF`W<7ABiY_ z^76%tzdw#33ZIIy(Qs9w0F)h>c3LP+VMzNUFCirU5dfbKcNx#m3Xt3GkIZV{;9-4< z@7cXNp78ZsT>(-v8z~QDq<_yw%0}F)&3YG>mv1}*fZt6Q9`{&%6_}g)J)6yZe`KETdunFp_OGDu!!K!! zJA$$O+vbntft}~e;Xm7K-tjNH4MbrnMwU~=t5>h0PZ|YgPn}`yUsythH4Yp&;9pki zbaF;*M?bex2NZn^w7;s0Ys7DT);B)aS+-eLtZ#r0U&mDx&*1Xc&kKyy{CFz|Lq$d= zgPacgeeI;RH@iO)E8zRc(62H_UfRk=kK(n4;*Uf%bpi27rgjgr&wAH`s0V9h!mdfVJCci(D3DQMOnx|oB`2Ch)J@yg4ZbjK_)E~)QQY?HH zkM(Ilv~y#G`#RL7ZQ37+uk1xO5j@WF=l3QZL_Hzfk;Lo%Jsa#x^hy4`NzumZrE!59 zO%rKW4)*2DsdF5<{G?Z>V7{$$Bcv z7P!zlcinZ@Ri=1*vT!r7${)#}*XB1Px#L}ge>W=%~1DgXcg2mk?xX#fNO00031000^Q000001E2u_0{{R30RRC20H6W@ z1ONa40RR91c%TCS1ONa40RR91cmMzZ00`n$?f?KBzez+vRCodHT?v?6Rh2%ky3?H< zLLh;J4v9&K2_Q>E5)dH)1`q->^MS%RE`!l;SY`o(QE?nTKM{~c1(6v<9C5~B@zWtu zVNimC5fBs@z}Uo)kdP1q2_c=emwNO6r|x-u>!qr?mRDU>ZJ)2Z?!D)pbMHCle|M?3 zRUiX^zVoqg=$}NUrvsT0re#LJRAd}n8-;XKifLL#Nq~P+C>@fLjzFXX^&Q}Jpng+R zAnjpF+Ebylj~7|_cmEOWR`~}0fRBww*DnlbcBf^&q-7o)m>mW(381CS8GuF*1%O7W zWy!|@pw$%fDNA1j$BV3m_-}DAJldR+WsC0&R`~LbkT;*|+SVIC8SdZHE$4=z%tyfI z!`K6fpAnsi%FH;g%sHzwIZI2`$4sy>EwT(FeOXhpJh14F;7x0zUQ>%f-Pw1`KZLEj zcF6*O`Vkm+2GSvMBXuM?^!$8WE??Q#@$>oQeLm#7a3DQ|0Ny=pm@NIrTZ27*eZA!C z4&WO<5gv zFZx#S^j_`OkU^K~f^PWx@MLUsuEIz?Rp(n+hP9ZutgA*}FL%lA;mEJpO&-tnAC|r30a;t@_b_Mw;caD{l*) zqP_i1ehmAi@0%|V_X~H)b--dFI_&MAIilzit-yx@nqg;s8sHJLj`guN)7(3QVe*+P zz8Y+aZ0?7Q#<3sz0Z?J^)l20fKze;TEn}@?1Il6BI|9Kl%q*py9HBnw4W%E*=2S`+ zUw*6H6$F8~T-ESfoU7W&ZC8YCdv?oz0kIR=kxjEqNfBrcyh1$IHM%~=^W&{U@GLbz%}_V!2ZTP(t%f)sdec$+ z$!F(X9dyS+kx0?vmPljP$nBSh6ZfR$et=F52OuKElkjdj3lIs1~EgD0)4N>jR% z2;KUr@Jtx^1AseRgKe$abZaU2wy81^rV-DR(|Rjg>dUG?=3}7fBZfQiRqDJ;Zc641 zSRw#_V^Mek!u&m~xy>4GfT4Jx^(gQTjCh&sy?B4_`hs(OfqeL~8-sgX*vd{S2Kbwc z^<452fE0lnZJC`}-r%!MvDOe+j&>TstP(PV`iMjz-8h$h&L!7ZHj*m>_?w>&=b(W{ z0Mu{?k71;#0cR(r(E)t^4DaIvlrW3LF7L8YIlc=v5LIqafA9F=^yZLIPW;4I%G+Htz9rM`SA`RC0^dIPA0Qv9gDLbg2iB-Y)1=5zni6h3IF)M`_>XK;X9-Mv@nZsKcBLI=t z(dT$t$Gj`sX!Yd>^-GT5+?8E&ZAoBdU@2bZ&M$;#g*~zqYc3%jq<)S7f*uAm<>0lTIJ}AK409W z#-gTZUaU`d;(Bfh7wQpUn|l3eIpVV(f#!5UH>W<0e};&MFkJ7>c+se5CLYu5kCi@0tx=0eg=w);|DB=Ng-gZ&SGxmz0&)x z4)@zG@-iy)0s?1VD%sZ?Q;3&+KJx^dG^n3U{1D2`BS*`jAGo6MJzj47Y3y@;>Ni9}^z);jiiN$HQk^AKYX6xk1t2#&!&(^i~JZN|ed z>WCSZV9J=hwMpc$AL20wJh5c{u?vfb@2l1OJj#|5Kls93_1uqqF8?jL1;04shV*a1 zfPhDv52}^TAf_CdW~^q&bfk4`$jYug79(DT`nZWrrW_$M;~0R-2S@vvc;N6rntckM zPP;F=^J@98Aq7V0?bz%ddrKDIUXIKC=XK$k=^pthf%Ok7DkzU^r%e(6FeN`yi!xMj zO{qdM`lI&~nKcLC9+nxQG^Lib={4NWa(DmvPhV3_^8Ua5Ozx{rc}Fm&=Fb}-nmW*k zobH&}vI7sNF42nvkDybA^$yT#=<^_&b)3kNxDgkRa@Gy)*_kn=+Wu=VF8+M<2jvHI z1wrkISA6f<@MQ2Fjq|NcCAOXUK0XSEBR%V^e*GH}RE1wg2>Y>8D zSL%Nr{dph$?A{N&)sL7^E?!K8#d7s0%@8?Zflf;~TCF{6&o1~@ zL=4LH-#m=#qs&qK3#+#j6Kgizb7OccqJOG>8HW~))qhUG%)8X4U3JD}kVbryw>m3V zpg(yQz&)pa!DS?OV~Y0Uq%7`Y1#Buxzvh?%kE>vvmMXW!{q z@8^@$=O*g-vt9eyCf8M|6C=1*@xxlYFdmF7fPZ>R*b0C@px{AL!J@s8Ql1-)-1ZYp zk{yu-EO|-mPn?c5_srft*+;z+M{v^q7aM=PA?O3d(2q?Pz}tId0l?c=!E+!QfK*~$ z328K1$spKH-VOvSSE@gBgvfjTBGaGtUFRQNcvDBs;wQ2%G4w-ZkSPzN_ah1xN(Ph; zRD7_kpdsZ5_5oyB|D6mQOG=;M4#iohMxouDqCrXdUuygn!;A?TJ1oES-^2X@+8GKI zo}o~n(Yj6#9-vv^vfkC1e3JT84i}j?)hw+4lqZ0?b_3iR#t(R$p;)?bMI#umEIJoh z4N;&_X-8l*a#2|*PoN{P6VT_$izAM&e^7l3IX&B1zM91k7!pgfD+0KwN#-j^;3!a# zFwl%orK~(8NZT{Yi&nYR3B8NTlC^858(OQok(*=5vw$SE7$u zbiNvZkLW}PW|#RIa4@s(6+nd=Or!aavW;@`Su}o<`qPhQ!;M7*m`ha6ZM};H;RiNZ(8J zpMF;oKa9Eqi7DIB5zHZtXL`-H%!p+z5%I|Y)M1;cpdlo0U{|c)hUvKx$xc&ROllQB z_V1?Y6*__e&U{WSG>Au=rdE#gSnZBTlXDFwrq7G@jYyr?LDxh4^uP*a9%HB@7)Bk# z-JhZjrW(nV65h}xkmONT^D0203@-_N?w)y#w-HGJhT*l0ALHiwpUr&g(eH$~7eXfK zE|??JP@*6KbRe=mS6*dMm6SejvGHv{(+xw>2zD0NB7R=%CK21_ot-ir;NT_aApOXI zWdoN+MkAIYC@b!cPc?#@lzt;_t{4Ln-UX&)@$losII>*r_|X8@e+s9?r#GjE;1&4T zVOi&DAwF0(;`(d=+K6SH@hO{>K5vd|RPsk~t>R~~WB<5Waz-;UGwgdCXJI#pb$Yh5 zGE`D9QK>+Z;V8=y@G8}B$+{L|y);JJZ5J9~uFZUAd4I*vk3aebz(ASvwt;De5J`gP z8>*w1d;*PB8?(G?xl(=Y!=lnaDdX1(fOUFgENT?LtoZ8)Zj$k~#@g`Hg_=gXAssE; z&Tx&p1KPIU3JmK(mFVM6&W0p{YX@f~{#P15Umy2OkLMJf`KcKTRzu z${JS?IeI}6XwF!Z$<*T0oM6`FE79i_nMNd=o@sj}{wJy*$jHnHHek>?vz%hoNcIMX ztImK8mV(YYP_BF>`i%-OuLE1GD)B$z_>XGFqC84>(Ljog8(_AM=%^$U6wmV@(1Gq0 zE79Kv&o1(o*s-|K(1Hc$ zGp6V!tikvl8$0TvT^OSbBh(PjAo2(*G3SnvWK)tF>}d9i=umoNUf32#)h9$_$!q^L7>W%5+n0i|GjN2M=E*>d!UV~f}5 z;L`UvO*;~!8Nbf3`SnaZ8LMi<&+m7y_@mDhhH(c+4l6l&BXW7=bEJA@%IIiwyh`+W zGkYVC+$df-GF)=19Y4b&7k++?2k%4;>ZLkmiS<5XTE%%3Q*6&#>-l#V{)bH^YY+8 zCC1JG_I*q;e%7wx1zUPg6}m}#6HKdZis_!ZJ8wwx_CWpzlKtRqzF28zb;-{Ui% z)i~>&yS`js`a9mnD}0`HGlkP12+8V~MBc``I{NaTG1GXJ8NY)1z_yt`YmTqM8S*;e zj6r4ljzt0c%4Bsq%2{Dlrv9dNBHID<XnYQ@2 z%G4vY>4x}t8)vUx{B_1uiv>rn#?^vU<@i}Q*1sNH1Q@RtYUk0XM;dI3jyhTEsa3Ccet3|GVxDf0qe2U)A5lfcCQjKGADZmgJ6&dEjqcs#3* z+C&|xSp8jicVaYaWK`?=bH_G1*Bg^c{ZB}LEwRmXW&9K%jzDDx*C-vQlHiC>2ZXcQOMK&Adysvi!KWi&-c@a)rq6)RwPNR{u`I~}SQtN#`*n3r>Z)=}^4wMqLc@`HXHbyAVSp4gl2V2a|DkpEfn zEiryrE;h~urZkhVC;^mZTt^Hv8m#}QRlX}ndCHnI%$uC?E7a%Yum#srOQi!Q;)S5| zO4Z8f@Irkl#HR^)&DRd-I*Ol;UitzUGK5{9}~@G(PKm)mh|_-=d$UBDy9kR(`a zgv8VUw7l^tXKG36_h5IwepTjL&y>$W`*c)c9joy4$y% zm_#({U|EVGzEv3xRb5MwS7#iLdF4~kljD?UPWyc3E79j#$Dq~&@do#GEBn{~V&jKp zW-BrD)${oJhKmdR z?Z1IsDE=7j_c{!tFl7Nu?vNpJr!^9dLIO@CK?G0v2C^%w!<2KfD(~r3s?Q~Z_ZjmP zW-W-23{H#JXKk{q5`*xXbP6v8Cqnrw_4&E-;8jDP=YC(o z4)&laWX?YnJ+xQbX=Bv7AaWFsqat-{q_+$5+bM!is zdYy~sUVJiq8n20eH=T@=em~2>r<`Bs=lwSF@ypR4x=)V`-KSed3{T0hVNKG~5&)Py z#`#8g`L3?C?B1Q09Xont$ChT6&<$B*melgr01SwE0x4xbYoOTAo_a}74Z zpjj@%8+e|;G@ZHM4ugbo<5=N|b&?rsQY24}G!xW>wvlGDX;S7KV9O<#)?ABQc{A${7@nZLkm6e$<)Ia1x z48Y4MmXEZJe3j&{_)T~R;_(UQ)p2-AXVnPxx;M|p97_#VIiKeQlGf)4ZXJc)S3$Q<%j%Fvy_UF8aiAvv! zGW1(U^+?Oe_7iEHw}>w z6$38KGE;N`dOj@HoVdcF12_t@%}4)Wk1Ti7VH!6ryk#i|3h$|{Lsv= zjca`g{udKJ>;-O`dQ|b?(gq8$Z*Rdo*5l??FUn(hGtXQV^qsKQV67Q!srF=ir-Scs zvKH4?d6j0v8t8bVvY-(;Dvv+6TV@{beVNT6Qw-}5Pd3T&AC+|6XEn=>*@Vd={LQDf zX$UZuat(|53~6rKq60skXKNNGC#L!-d1C6}@;*$>C2clTmu;3p>)OMKxR3e?0D|MT z*I1}rI3grG9T7=IU zB|#%bWq!nZ+PiSe5vF%iJQn0xyv%Yd+wcQ_U2BWXZJQCSr+g_?7QpOa&CB7;uuC4t zNszJeM$}Mz&`@*8cm(#@$M7?(2?f!2cEYq!PQR!NH_&NsepR3ObWb1;e`koSUm5qN zPt`sJ`1?=q!li&ik3>u`!Yw9Lq^0p5EmjINzVD`5VtLAxS;3R#+ENj~>~u|gcxI56B^b%Na7CjQb>_o! zkBdD2E61Qxm1*?;2;|w_(l)d2HF@11n&inJH_5g)Dh@?aUNJt0WA}3O$!HTKowg}kXFs$Akh}5! z;Yl-sdrEFNrjVF-*m#`@1Al-=NQbjgzKru{|D6Fj*5_c+MPL}#=2JeHdAFqn1#9$9 z{GZo0t+J6DwP%?m($`joa{%&>H@qTaAGt4cQX+|V2XY&{vHw(n%v+E!FnCet?1QJ5 zzvjkcmDmWjhF|)1c=Utcm*4Eznpu;LKbYo^0N?gE?>u<}-k0 zeDLg1$I5IxQGk<+gH%ie@LN&a@TQ*AlLnW4Cq9DBp_M-kTYvRiS-!SiW*cuX-8%w@ zyi=Yz;TU=E^!MvS2YU-t$f+8@X4m&`2*0vsg)G8Ff~xmreKtahwzpQVU#d!V~=XC}S?Ke)gPn<5-{q@DcHMR7r<^a?A@aiyi{}}o7mOsfNJPS0o zmI0}>?{O1l%b0O;^97%(EwJWCT>xyxFn#!*@ca#{k z?Qa5{q^%#SJAf@T_uUd6fZKw;u=PzjAM5luJX%s$w&GP6;r<898@TcAhhz4YtIk;1 z_dUwyTYsi?6|{Vg|8hwg6J-H@4Dy0)Tjd0-+Xvw>QoY&0mrEi)dW>}8w%FH4j+Q4e z4c|L@qb!+sb!j)fC1FP;Z8RLfxtx9AYvK5CsGN+O`HtJuDTjCNlqq@&SAUyunh@_IN#iO`4{nC*26(%1ZT799!)0~L5P1pLw4d3tT^_w~aZu$O fjBA1~mEP)Px#L}ge>W=%~1DgXcg2mk?xX#fNO00031000^Q000001E2u_0{{R30RRC20H6W@ z1ONa40RR91c%TCS1ONa40RR91cmMzZ00`n$?f?KEI!Q!9RCodHT?>?4Rh2!jyF+3~ zhX4TuBtMdLAP@{7XkfsAKX4cwmoWZdIitb|E|wrJQCTx_0AWVJ0Y4!QiUVs62#U*b zsUu1PDj*W%6Oep>gpd&azYc_uPQTgvyn9}qy7j8Ns=KPYL+T{;?!D)pbI-kJ-`~6M zRdph709v#t9kr}m_G#;pu3nL@1RqIdPc*HwHvWm|U-+PCe|7cNYvY!x{gz|9AMhoTYF09Xgo0wDRn zf|!?vj38Dhlj|n}tYtlP?uFpu9d?k#mz*W{CrMINd_`F!g~7Itcv|q?bli)t$nkLY zF&Lpo!^KlsY4da$U|=ek$hXGDa@F|ih`#logUl@`e{tI=`T4ibO4h5+2)18)+Oo8-mUUkIPep_y|RZ^&cF!3<^aYucPPi8YF6{~H^SbHX`B4uva^%l$JH9n z^oRlY>~E%XdQ$mnTOuc5U2V&q;y}xJj5xjr)5lfb$qj{mTbtaDx?OPT7n5I=*&C+B zumgPNrRkxV?9N5|{}v;2*z40M9MIA3A<*N`lAkR|5>DsCLc`|Jb1qG%zn;ov0QWe9 zmAhPyKqZ?_%`G8aCc``@SC;4azPvJ-q0mp{L5%7%E$ydj*Fi=tX!=|6e%h+7}%iG^7-#PKb1h?|d zC-ZYtEiJe_9sg>NEP}H?N<-#!3+pv*dKPYT`ib1#v4ec{qSKRy>#cje@=XW$oXgX> zy*+Y0hT(Kpu3`;zJj-LqVQZB${u@lc8+Qz!z32JG<)8DP>1o(LUWy?* z+BQ!HmW65Xp*N~N+I7X4@p9&Ze@tF$1_+Tm8)M>|SEoBZ`-1!ksC`5Y z;F1Fc6AGs1Q79m6a#oY=LcdM!lMeatMW-c?TDuz+s{a~Q7|U6(D4n=@v-}c(9cty; z=!`?=dmhscYbKSvOq}oYC>-aL=Vju2pEsQPu>Dj=BFCP0Msg49(I{ej8%6+k(w5C~ z6K;XJyrnJuMgc{ur^x=k=JKE(#|8{z^q*0*IcMYKh3)B6# zY?c2@du1;L38gxWa?m_j-na*KJJ;Xb)-Ins|McW1jR3~`c);ZW+(QX23fq~5#Oo+| z`N-4+g%~L(%8<5qefXvqzBu)~&nH)A9vS#`&;Vmvp4GEO{)j5<8drmbdmJrY26n9E z(k5>#OK%VQXlrlME+_um=aQdV`v(%zX9K457p8mRJo$EvxJgwDacievbF0e78QZu1 zW&m{TVAkXT1AO84(w#S@@&_!mv-4rf(gGkBtwrGD?nG za7w~ghw3K!v2Nl619?qu21fG?01a7^A%l=>sjjOAW|XgnnP)mteoH^|AKdd4{5x;K z0Pd4Z57yP&HC{I3F(1GsE(9iYw1!+CJ26>DS~xxarOC+fOe4RXQ5+x~Oh| zzkWsfF#vOl0Yz&?apPG?G#TeeH=d?j`nf;6FTIZ#$19$5UtEi0-#UpdubIxfDxD!) z2J@Q^x1{cuOC%qR5Hoo|@d?ebHCE<`H}q*WE36D#Vw^K|1}0 z?%{h0dmG+hP$J)YV#W!h7>SmC$rttb4t?G2~|D+RpHpvQ% z;9V%FQz;^xN6+8+!eoMbO{=<3oQRjTB`nM@MJWz3b>t^{nK-z@^(AG!FaKuFz z>qupu0m(Rt;42RbjFVdW4fJ2HT#jXQZnbYc2A5}!_t$S-lkU;eBdhUFRd#x!!#7B{ zxPnKv<5@X*UYze_a~a2L>1Q6uebb-+68YelKb8Ei`OSxJb@XfzfO|IXxkl3nKU^~{ zuA8aACsX;zx3$#d^1POQv;FrqxVVsrMFnx~#i7O;45}S9lcS47X+P3pz6!aEl^)Ag z<2zN2R+Fp7-;VV$=-zwwNy%?x7Zk3+NsoL1nCxhNRA5arXM#~JZn73uldHxzJqxSJ zRpXnUh1KM$@lDUdYI4>1re|R_xoUjVv#^?+3)$%*I^>W2x_$bwhozh=Esved_61H;4NF^!vxoi zGqhg7(D=G0hdjHdWuA}I&~WSTxtqud?-3!$JK(GM1o^%16ggyescyc`K0es`&zvms z!TEUBhnJaX`z;7Rg!Bx&|3W+F8*kIc>$MNu{)sxCDgcJi$+}sBlsA@Fh#=yF|4O#u z%4Mk+@^c<_tU-*2d=}7beU2WhhgLXT-U&XbnfB)$nAwQ0i2hEHoTZJ7rtQtUYWN+Yvt6M#p12 z>uEpz!)dvQ$j7U(jrSj#^zsJzJ8!cLV7!L&2{cT3I?5by3MSGFH6GRwHrixOh6ap> zY;}y~G1T}F>A!$=uZXtvh`fSt12wDuZ1+puMV7OD0Nx+ZJCpg!d_*nd)$Ko#lfBh) zfRV|9ZA!D=Y(3YEu>hS~!0<2z1D3!;rUHeF=aa|!#UWVA4|UIFDA>}^d_y0_ezSB#{fEKI z@<@sYAL@Va27UK-w+z)R(lv-$n{sg=UHjck_7Yd{Ot@xFT z^-l+$nM9rJzLP9ganmLd{1l>W#m36(*IIwxzmCGL+qWNwLGsKC;E`A-1_<}UeK$iA zev3r9VS6KN<87ES{bu{GqeJ#R^&`o09l_tfLH5T{7pexbIU1E@JrzS-tkPOB%7uK5 zBAz>|3HmJZ_@e^AG#Kcq=R|J2Ijfu5?;MBUJw*StwbNvK&>0?oQsn-XB2PR6ZjJRH zAIh`#TY2}c5P9~+EM;I#$4%yYaEKBUJHw;vvvt24V5?7Sv_DY)!yoX1ET`{iFq@uf z)IOn>NM^hcl5IEVCaXNtvyej;JZ_BXk+mYPhI?qs+jC-e3~K43kh98R2V}Nyy*rX9 zupdd3l3v!hp2zwVQ;?2e0Nj<|*CI2tPkSYW*gNwN)6mki<#}F%_4j@YzL#2X8pWxW z^~~#mI_*0(8<}ADOS|tPatwZC!t47svVa3-;7vn}{Fv?!4=TL<{UKW`u@iEp@%p(> z!6cu=`dH}emdgeiEypkk`dD(OEn1p#qC!D!_{jxq2uRuyC>(l(8eyE2Th5Ysr-8gG zhCnOOApN%$jNVOH)AZIOG{*J~4?HaL*GIE@vi>{{?8I^8WONcbb;mbl^|tF2OxaWR z5P1x1b6o#XXcMQ^n7EF=fO~2B#kYU)pEDlinb!gRozXG5EObrDmIz-KA9nDm(ks}6 zS^b%>WkPqb{zpOW$y%A-_TM+AyCSix^$On4;=fjsA<24A9w!eUPC1&#bci=nf42!D zd>RzfUmwYKsIh&@ap#JkBi2I=JQqZeeLGGc%-RKNny z$IEn@q)+F^gjb2OQR;2_c$NCo;kVx9*4$9=Td;O=t%aJln-K!H|MVc>0^Sy}lh7}u zT*t@3jQz*wz<1y|a7@!Mx+}^m(6{pH^*<`u)rRf#Og4zbf>?;fEwoBlnxXYxi(6i! z^v7dr`VtgJJ zJc#Mp%IQnr@)%nA47vM`$vc^Oa|$+0yniJ~W}6|&fVQ?8&xdCJ87TCRwSaaLsz0 z3SkuHjYL+x_Qw>gt5yih-DhmWltJ49fr}BR7}{o= zcm}s8c-&@nQ`>dgKNzP-T=zV^_Bzg~!_>J8-n1y{0L#~8J7bs|ko|UyBEIxz1H$Y- zg-4hyvyuMu{>K+g$MKIzb<&9ToIHYtpi+9ii;$V-P|8t^Y36&rW@teJ*Po85xo9fm z=+!#aX}=va0fFPLn1?1Ytyq(R#%dRhUY>MO#<#Q9_Vbj18@Pkev5H>bS+Tmj+(!7% zrhwopOwmA@_is6%tbHKgsGP@0kjeAmog)36FeQE9h~m>AD=!XNW=wog&U;GIVf%|r z-#d$!T?_P>&mLV=Ci8gQNbpE{AhKr`_t!@r&vxxB<2bY>o@Q0HifxYEYQ*;NWd!q^ zh2~r8<^FYrsHtEt&#&Ttw7nC3OnS@#ssILivnR{ELfn*Rpte=Qr>at+S57zB#s z9mv*`2%5#?kon|A`dw4%o0?fn5iMVXqER;QRk=P7miYS4UmhymZn3K0~xWm#@+PL0tjvR&cx`3M?alZW}7)vlBpu zVugm0VP6v|E2obH*T8s+o{kEmob7u@7DVBY0=Ed zm8J4!0={xfx9pBLI*JZRDzzL3K6o9rS!cfRN86h@YC&vIfBsWJy9~hps+w>Fw@bHR zr>J0AfdydaKte`kA){ivfD!92!MU#rFe9Q^mM@?mdqgCJ8Vud#KPX`}{&0mxh>D ztO=cX2-;8EgYjQq`WT4oJ8)LHg3nL6xl*7JRovLP5YO+?C`P~$GS8+kLr$)#phM*T9(g)}wuIh7mUU62Ks+R z+q`+nCXC9p+9+H&Lap~AmZxpl>U0wLCd+Uj`uuWq_RafIcB5L_KQX@?~l1O z3|0HBZ3FdRfBN_{^eeK?k|3h7%*nZ8;1N{j8;IJQnE+|!LVm_6fnsGA>9dTY`&zzh ztltQ9WftjcWd>+}JdRNLGJ8yXM~Y|9L(%@h)W1gmzw+UC$@&b!RF<=`bY%Vstykv; zFc~K?FkqDtF1aqtaXfVx(q5l0yK#dR6L-#9PRL-qNPjT)yC#+DV)l6u!E@)l4NbI9 z-wdYyHR`YAZ)fqSlB4rZT?cUS>j4{UJ7tbWi_-w*SV=F>girUSUo?7ojAt*#nWN2S zqwMp6f6-H=$8o~NT|4cPnq^rcNukvnNi0UpyKOEzKs;jm--`0+p?sibY! zOD02RNag}e^V63;r$@eX71P5ug8I>?p4qif%R+)_eyZ7L$FikEbtnsA{~B&z`ev9i zBnvIU^hnUhG`^U1(kc4=MGPWfG4ZVl zo)fFXnq;5n*;5K03G!Hy4>fA7KkGP{_BUG};HG%5`xg2*TZ0in;}+8}7jO+3&-hsw zB#nox%pt}{hUWF7&xh|tkKI;d_sWsfO#71oZqcsY&m7IPuRaTY8>s(k@juFb;J70b zJ=oPLn#O?6Vt{;_qLiiGJf{*_cd)t7%h0N&ecWV?2k?s?%W>zLf6vHd85Zd0JhMj` zujAuRpQE$ro|`*%d#I50P!8GfrW_Z@|mZ^p;~Rpl`+(&qzvzGxoPT0D2vhYF$WX4rr0n~QhtHhO)Xnqi;i zSM^nqPbnYyuU365rN6WGuumwx`>^CW^zz@ar`uXHt5Y-W`?{JP&tu(;U(J8Dv>&?9PuWFovbN>`tARGT znnpC91z9}enT*O2bVOJwOKX@Va~@^*zA;}{@t?I%WY0@@}^jdAKAP&$<$QWmO027Xr4jM36B z`DsY~m&i2%l02vY_HqnrUfMw9S>t`20AJ1^9fXV;P?x=e6{! z`fqE}Av53o_T*9e$Wz4#X6F1P>4Bs9w+fXQ+7xWP$ktr)8Ml1KRnJ0ZyZn}Z$v<>% zBm4)SURwmNmd{HO?a?Veg7Nh^AP{1l#6STJ-6OD-PZ`al9OCv-y&%Y-r4QdUz<=;> zieKUT2K`$^g(H}PyjjLe;TI@CNau&}1kEbu0MvZ&1BT_Jwx!=Z|A}08)WHe9t5Hmb zM`14B#A{o!RPMq;c~GH1H6}~7MY)u))5CKI1enQ{9!{;Hg?p# zzrQQ}TyLBF2^+4;&S1NsLggZ6#B1r7ro6~C1>TM&DDtm;flGx-&?<@%x#g~O5hPFH zs8md-<-rMYeV&Uv4PEKRZ|OJAe{l2tM;ji^8o1#ij{$;i~w{1 zT#E{TGoFL387=)r_zyGU!XxJ8H6#`r%ayt$9vNMLgAmu8Hm_S&1qPBrOym; zlPSn*>1S@s-dJ@5!~4qn4;|#by(Y*zrcO=pz_WjK}>;WS>3P#{F z-vBc?GaBf|0<69s)mdCx(3lokvo^ASK_6)Pcz5BQ>h3!Kl*Y( zD0m$ok9)-StPj83Jz)o#KWkQk-yNu*=+^-gjxyW-yi9%yJU^&~IFw>gGz)@d{Md3! zKcDW@Pk1kIhcR;aK{K+K*kgCqk{%SmG_ZPgI_8;Iwj} zmufnmzb)&d9UDe>$l(XhN>=-J*Bc)+z%;n@k#wit*W?$NS{3AaE76j#@W8qb{E^9n zW+#8G$f=Xj5P)fuBl)>k<+^;jMno4`tB|EFjQLFaJRkRY)%ac}j{Eco*T=|Rj^E3E z?*Y>jeAjaD)G&b6hgg&Een_qWP@gey?fy33QJF<^w1w6drb$6=JJY{&$3#A`@4gAX zZ_yYscQ>ZAP|7{a)AMl{@--$sej10x9JDI=T1)_Xd(nqme%(7kK61#O$*bD_23?v0 zFzW`8KLK>F06_TSNHKZviY5Byz7h0s)XV<5T$ej%;wV;?~tI`v3>h*0Pxx0c1%VppNgpFrKXa#veeh|sRZB!pq z@@BO0BK*;>^DrgjNWZzH{%fv@Qt7yrny|4)E&x#f43zXyr3a0Y0ZZFNtFo7g^L^e( z*GHp%i=U1>eZPH@Robv2xC|-4)}DtRP7lV5L<_Mtzuk~j;D8pVVjaZ}Ny{_zRfdHb zx`>+02-RPYs-8J#MskDsV5ma+Wmt%>aGI<`GBBA4?C%`g{_A{s#a)A)kxgn#)QXV0|{g z>-c!%^j}AZ`6Yf4=bC*d%P+Ar&VL`H&w33}=7H z0PSepWX(Yw2Ysl%N6+GMXsz^o@@myjWDTSj!`70q_|dpYld69oh{cW+Vsp1iTDLCU z_0=AE7aV>lFzNzOU1-QY_>@L@QOgYAqCD_0-KO~WILcjtB!9p2-ch}>WXhCebrqEn z&E94KF7hfiY907d@2Pl_H46>f6CibBl=H8vjss|&SSLFXwga?o@Hc|rjoUQ-)fxWn qsAqcHW#!mZR$|JGxcK9~%l^6()50000P$d4lvMt8C^+TcQu4F zQqv!UF!I+kw)c0jhd6+g6oCr9P?7)?!qX1ui*iL{p}sKCAGuJ{{W)0z1pLF|=>h}& zt(2Lr0Z`2ig8<5i%Zk}cO5Fm=LByqGWaS`oqChZdEFmc`0hSb#gg|Aap^{+WKOYcj zHjINK)KDG%&s?Mt4CL(T=?;~U@bU2x_mLKN!#GJuK_CzbNw5SMEJorG!}_5;?R>@1 zSl)jns3WlU7^J%=(hUtfmuUCU&C3%8B5C^f5>W2Cy8jW3#{Od{lF1}|?c61##3dzA zsPlFG;l_FzBK}8>|H_Ru_H#!_7$UH4UKo3lKOA}g1(R&|e@}GINYVzX?q=_WLZCgh z)L|eJMce`D0EIwgRaNETDsr+?vQknSGAi=7H00r`QnI%oQnFxm`G2umXso9l+8*&Q z7WqF|$p49js$mdzo^BXpH#gURy=UO;=IMrYc5?@+sR4y_?d*~0^YP7d+y0{}0)zBM zIKVM(DBvICK#~7N0a+PY6)7;u=dutmNqK3AlsrUU9U`d;msiucB_|8|2kY=(7XA;G zwDA8AR)VCA#JOkxm#6oHNS^YVuOU;8p$N)2{`;oF|rQ?B~K$%rHDxXs+_G zF5|-uqHZvSzq}L;5Kcy_P+x0${33}Ofb6+TX&=y;;PkEOpz%+_bCw_{<&~ zeLV|!bP%l1qxywfVr9Z9JI+++EO^x>ZuCK);=$VIG1`kxK8F2M8AdC$iOe3cj1fo(ce4l-9 z7*zKy3={MixvUk=enQE;ED~7tv%qh&3lR<0m??@w{ILF|e#QOyPkFYK!&Up7xWNtL zOW%1QMC<3o;G9_S1;NkPB6bqbCOjeztEc6TsBM<(q9((JKiH{01+Ud=uw9B@{;(JJ z-DxI2*{pMq`q1RQc;V8@gYAY44Z!%#W~M9pRxI(R?SJ7sy7em=Z5DbuDlr@*q|25V)($-f}9c#?D%dU^RS<(wz?{P zFFHtCab*!rl(~j@0(Nadvwg8q|4!}L^>d?0al6}Rrv9$0M#^&@zjbfJy_n!%mVHK4 z6pLRIQ^Uq~dnyy$`ay51Us6WaP%&O;@49m&{G3z7xV3dLtt1VTOMYl3UW~Rm{Eq4m zF?Zl_v;?7EFx1_+#WFUXxcK78IV)FO>42@cm@}2I%pVbZqQ}3;p;sDIm&knay03a^ zn$5}Q$G!@fTwD$e(x-~aWP0h+4NRz$KlnO_H2c< z(XX#lPuW_%H#Q+c&(nRyX1-IadKR-%$4FYC0fsCmL9ky3 zKpxyjd^JFR+vg2!=HWf}2Z?@Td`0EG`kU?{8zKrvtsm)|7>pPk9nu@2^z96aU2<#` z2QhvH5w&V;wER?mopu+nqu*n8p~(%QkwSs&*0eJwa zMXR05`OSFpfyRb!Y_+H@O%Y z0=K^y6B8Gcbl?SA)qMP3Z+=C(?8zL@=74R=EVnE?vY!1BQy2@q*RUgRx4yJ$k}MnL zs!?74QciNb-LcG*&o<9=DSL>1n}ZNd)w1z3-0Pd^4ED1{qd=9|!!N?xnXjM!EuylY z5=!H>&hSofh8V?Jofyd!h`xDI1fYAuV(sZwwN~{$a}MX^=+0TH*SFp$vyxmUv7C*W zv^3Gl0+eTFgBi3FVD;$nhcp)ka*4gSskYIqQ&+M}xP9yLAkWzBI^I%zR^l1e?bW_6 zIn{mo{dD=)9@V?s^fa55jh78rP*Ze<3`tRCN4*mpO$@7a^*2B*7N_|A(Ve2VB|)_o z$=#_=aBkhe(ifX}MLT()@5?OV+~7cXC3r!%{QJxriXo9I%*3q4KT4Xxzyd{ z9;_%=W%q!Vw$Z7F3lUnY+1HZ*lO;4;VR2+i4+D(m#01OYq|L_fbnT;KN<^dkkCwtd zF7n+O7KvAw8c`JUh6LmeIrk4`F3o|AagKSMK3))_5Cv~y2Bb2!Ibg9BO7Vkz?pAYX zoI=B}+$R22&IL`NCYUYjrdhwjnMx_v=-Qcx-jmtN>!Zqf|n1^SWrHy zK|MwJ?Z#^>)rfT5YSY{qjZ&`Fjd;^vv&gF-Yj6$9-Dy$<6zeP4s+78gS2|t%Z309b z0^fp~ue_}i`U9j!<|qF92_3oB09NqgAoehQ`)<)dSfKoJl_A6Ec#*Mx9Cpd-p#$Ez z={AM*r-bQs6*z$!*VA4|QE7bf@-4vb?Q+pPKLkY2{yKsw{&udv_2v8{Dbd zm~8VAv!G~s)`O3|Q6vFUV%8%+?ZSVUa(;fhPNg#vab@J*9XE4#D%)$UU-T5`fwjz! z6&gA^`OGu6aUk{l*h9eB?opVdrHK>Q@U>&JQ_2pR%}TyOXGq_6s56_`U(WoOaAb+K zXQr#6H}>a-GYs9^bGP2Y&hSP5gEtW+GVC4=wy0wQk=~%CSXj=GH6q z-T#s!BV`xZVxm{~jr_ezYRpqqIcXC=Oq`b{lu`Rt(IYr4B91hhVC?yg{ol4WUr3v9 zOAk2LG>CIECZ-WIs0$N}F#eoIUEtZudc7DPYIjzGqDLWk_A4#(LgacooD z2K4IWs@N`Bddm-{%oy}!k0^i6Yh)uJ1S*90>|bm3TOZxcV|ywHUb(+CeX-o1|LTZM zwU>dY3R&U)T(}5#Neh?-CWT~@{6Ke@sI)uSuzoah8COy)w)B)aslJmp`WUcjdia-0 zl2Y}&L~XfA`uYQboAJ1;J{XLhYjH){cObH3FDva+^8ioOQy%Z=xyjGLmWMrzfFoH; zEi3AG`_v+%)&lDJE;iJWJDI@-X9K5O)LD~j*PBe(wu+|%ar~C+LK1+-+lK=t# z+Xc+J7qp~5q=B~rD!x78)?1+KUIbYr^5rcl&tB-cTtj+e%{gpZZ4G~6r15+d|J(ky zjg@@UzMW0k9@S#W(1H{u;Nq(7llJbq;;4t$awM;l&(2s+$l!Ay9^Ge|34CVhr7|BG z?dAR83smef^frq9V(OH+a+ki#q&-7TkWfFM=5bsGbU(8mC;>QTCWL5ydz9s6k@?+V zcjiH`VI=59P-(-DWXZ~5DH>B^_H~;4$)KUhnmGo*G!Tq8^LjfUDO)lASN*=#AY_yS zqW9UX(VOCO&p@kHdUUgsBO0KhXxn1sprK5h8}+>IhX(nSXZKwlNsjk^M|RAaqmCZB zHBolOHYBas@&{PT=R+?d8pZu zUHfyucQ`(umXSW7o?HQ3H21M`ZJal+%*)SH1B1j6rxTlG3hx1IGJN^M7{$j(9V;MZ zRKybgVuxKo#XVM+?*yTy{W+XHaU5Jbt-UG33x{u(N-2wmw;zzPH&4DE103HV@ER86 z|FZEmQb|&1s5#`$4!Cm}&`^{(4V}OP$bk`}v6q6rm;P!H)W|2i^e{7lTk2W@jo_9q z*aw|U7#+g59Fv(5qI`#O-qPj#@_P>PC#I(GSp3DLv7x-dmYK=C7lPF8a)bxb=@)B1 zUZ`EqpXV2dR}B&r`uM}N(TS99ZT0UB%IN|0H%DcVO#T%L_chrgn#m6%x4KE*IMfjX zJ%4veCEqbXZ`H`F_+fELMC@wuy_ch%t*+Z+1I}wN#C+dRrf2X{1C8=yZ_%Pt6wL_~ zZ2NN-hXOT4P4n$QFO7yYHS-4wF1Xfr-meG9Pn;uK51?hfel`d38k{W)F*|gJLT2#T z<~>spMu4(mul-8Q3*pf=N4DcI)zzjqAgbE2eOT7~&f1W3VsdD44Ffe;3mJp-V@8UC z)|qnPc12o~$X-+U@L_lWqv-RtvB~%hLF($%Ew5w>^NR82qC_0FB z)=hP1-OEx?lLi#jnLzH}a;Nvr@JDO-zQWd}#k^an$Kwml;MrD&)sC5b`s0ZkVyPkb zt}-jOq^%_9>YZe7Y}PhW{a)c39G`kg(P4@kxjcYfgB4XOOcmezdUI7j-!gs7oAo2o zx(Ph{G+YZ`a%~kzK!HTAA5NXE-7vOFRr5oqY$rH>WI6SFvWmahFav!CfRMM3%8J&c z*p+%|-fNS_@QrFr(at!JY9jCg9F-%5{nb5Bo~z@Y9m&SHYV`49GAJjA5h~h4(G!Se zZmK{Bo7ivCfvl}@A-ptkFGcWXAzj3xfl{evi-OG(TaCn1FAHxRc{}B|x+Ua1D=I6M z!C^ZIvK6aS_c&(=OQDZfm>O`Nxsw{ta&yiYPA~@e#c%N>>#rq)k6Aru-qD4(D^v)y z*>Rs;YUbD1S8^D(ps6Jbj0K3wJw>L4m)0e(6Pee3Y?gy9i0^bZO?$*sv+xKV?WBlh zAp*;v6w!a8;A7sLB*g-^<$Z4L7|5jXxxP1}hQZ<55f9<^KJ>^mKlWSGaLcO0=$jem zWyZkRwe~u{{tU63DlCaS9$Y4CP4f?+wwa(&1ou)b>72ydrFvm`Rj-0`kBJgK@nd(*Eh!(NC{F-@=FnF&Y!q`7){YsLLHf0_B6aHc# z>WIuHTyJwIH{BJ4)2RtEauC7Yq7Cytc|S)4^*t8Va3HR zg=~sN^tp9re@w=GTx$;zOWMjcg-7X3Wk^N$n;&Kf1RgVG2}2L-(0o)54C509C&77i zrjSi{X*WV=%C17((N^6R4Ya*4#6s_L99RtQ>m(%#nQ#wrRC8Y%yxkH;d!MdY+Tw@r zjpSnK`;C-U{ATcgaxoEpP0Gf+tx);buOMlK=01D|J+ROu37qc*rD(w`#O=3*O*w9?biwNoq3WN1`&Wp8TvKj3C z3HR9ssH7a&Vr<6waJrU zdLg!ieYz%U^bmpn%;(V%%ugMk92&?_XX1K@mwnVSE6!&%P%Wdi7_h`CpScvspMx?N zQUR>oadnG17#hNc$pkTp+9lW+MBKHRZ~74XWUryd)4yd zj98$%XmIL4(9OnoeO5Fnyn&fpQ9b0h4e6EHHw*l68j;>(ya`g^S&y2{O8U>1*>4zR zq*WSI_2o$CHQ?x0!wl9bpx|Cm2+kFMR)oMud1%n2=qn5nE&t@Fgr#=Zv2?}wtEz^T z9rrj=?IH*qI5{G@Rn&}^Z{+TW}mQeb9=8b<_a`&Cm#n%n~ zU47MvCBsdXFB1+adOO)03+nczfWa#vwk#r{o{dF)QWya9v2nv43Zp3%Ps}($lA02*_g25t;|T{A5snSY?3A zrRQ~(Ygh_ebltHo1VCbJb*eOAr;4cnlXLvI>*$-#AVsGg6B1r7@;g^L zFlJ_th0vxO7;-opU@WAFe;<}?!2q?RBrFK5U{*ai@NLKZ^};Ul}beukveh?TQn;$%9=R+DX07m82gP$=}Uo_%&ngV`}Hyv8g{u z3SWzTGV|cwQuFIs7ZDOqO_fGf8Q`8MwL}eUp>q?4eqCmOTcwQuXtQckPy|4F1on8l zP*h>d+cH#XQf|+6c|S{7SF(Lg>bR~l(0uY?O{OEVlaxa5@e%T&xju=o1`=OD#qc16 zSvyH*my(dcp6~VqR;o(#@m44Lug@~_qw+HA=mS#Z^4reBy8iV?H~I;{LQWk3aKK8$bLRyt$g?- + + + + + + + \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/Content/Header/style.less b/demos/speech_web_demo/web_client/src/components/Content/Header/style.less new file mode 100644 index 000000000..9d0261378 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/Content/Header/style.less @@ -0,0 +1,148 @@ +.speech_header { + width: 1200px; + margin: 0 auto; + padding-top: 50px; + // background: url("../../../assets/image/在线体验-背景@2x.png") no-repeat; + box-sizing: border-box; + &::after { + content: ""; + display: block; + clear: both; + visibility: hidden; + } + + ; + + // background: pink; + .speech_header_title { + height: 57px; + font-family: PingFangSC-Medium; + font-size: 38px; + color: #000000; + letter-spacing: 0; + line-height: 57px; + font-weight: 500; + margin-bottom: 15px; + } + + ; + + .speech_header_describe { + height: 26px; + font-family: PingFangSC-Regular; + font-size: 16px; + color: #575757; + line-height: 26px; + font-weight: 400; + margin-bottom: 24px; + } + + ; + .speech_header_link_box { + height: 40px; + margin-bottom: 40px; + display: flex; + align-items: center; + }; + .speech_header_link { + display: block; + background: #2932E1; + width: 120px; + height: 40px; + line-height: 40px; + border-radius: 20px; + font-family: PingFangSC-Medium; + font-size: 14px; + color: #FFFFFF; + text-align: center; + font-weight: 500; + margin-right: 20px; + // margin-bottom: 40px; + + &:hover { + opacity: 0.9; + } + + ; + } + + ; + + .speech_header_divider { + width: 1200px; + height: 1px; + background: #D1D1D1; + margin-bottom: 40px; + } + + ; + + .speech_header_content_wrapper { + width: 1200px; + margin: 0 auto; + // background: pink; + margin-bottom: 20px; + display: flex; + justify-content: space-between; + flex-wrap: wrap; + + .speech_header_module { + width: 384px; + background: #FFFFFF; + border: 1px solid rgba(224, 224, 224, 1); + box-shadow: 4px 8px 12px 0px rgba(0, 0, 0, 0.05); + border-radius: 16px; + padding: 30px 34px 0px 34px; + box-sizing: border-box; + display: flex; + margin-bottom: 40px; + .speech_header_background_img { + width: 46px; + height: 46px; + background-size: 46px 46px; + background-repeat: no-repeat; + background-position: center; + margin-right: 20px; + } + + ; + + .speech_header_content { + padding-top: 4px; + margin-bottom: 32px; + + .speech_header_module_title { + height: 26px; + font-family: PingFangSC-Medium; + font-size: 20px; + color: #000000; + letter-spacing: 0; + line-height: 26px; + font-weight: 500; + margin-bottom: 10px; + } + + ; + + .speech_header_module_introduce { + font-family: PingFangSC-Regular; + font-size: 16px; + color: #666666; + letter-spacing: 0; + font-weight: 400; + } + + ; + } + + ; + } + + ; + } + + ; +} + +; + diff --git a/demos/speech_web_demo/web_client/src/components/Content/Tail/Tail.vue b/demos/speech_web_demo/web_client/src/components/Content/Tail/Tail.vue new file mode 100644 index 000000000..e69de29bb diff --git a/demos/speech_web_demo/web_client/src/components/Content/Tail/style.less b/demos/speech_web_demo/web_client/src/components/Content/Tail/style.less new file mode 100644 index 000000000..e69de29bb diff --git a/demos/speech_web_demo/web_client/src/components/Experience.vue b/demos/speech_web_demo/web_client/src/components/Experience.vue new file mode 100644 index 000000000..5620d6af9 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/Experience.vue @@ -0,0 +1,50 @@ + + + + + + \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/ASR.vue b/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/ASR.vue new file mode 100644 index 000000000..edef6a787 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/ASR.vue @@ -0,0 +1,154 @@ + + + + + \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/ASRT.vue b/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/ASRT.vue new file mode 100644 index 000000000..245fddb2c --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/ASRT.vue @@ -0,0 +1,38 @@ + + + + + + + \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/AudioFile/AudioFileIdentification.vue b/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/AudioFile/AudioFileIdentification.vue new file mode 100644 index 000000000..4d3cf3c31 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/AudioFile/AudioFileIdentification.vue @@ -0,0 +1,241 @@ + + + + + \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/AudioFile/style.less b/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/AudioFile/style.less new file mode 100644 index 000000000..46b33272d --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/AudioFile/style.less @@ -0,0 +1,293 @@ +.audioFileIdentification { + width: 1106px; + height: 270px; + // background-color: pink; + padding-top: 40px; + box-sizing: border-box; + display: flex; + // 开始上传 + .public_recognition_speech { + width: 295px; + height: 230px; + padding-top: 32px; + box-sizing: border-box; + // 开始上传 + .upload_img { + width: 116px; + height: 116px; + background: #2932E1; + border-radius: 50%; + margin-left: 98px; + cursor: pointer; + margin-bottom: 20px; + display: flex; + justify-content: center; + align-items: center; + .upload_img_back { + width: 34.38px; + height: 30.82px; + background: #2932E1; + background: url("../../../../assets/image/ic_大-上传文件.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 34.38px 30.82px; + cursor: pointer; + } + &:hover { + opacity: 0.9; + }; + + }; + + + .speech_text { + height: 22px; + font-family: PingFangSC-Medium; + font-size: 16px; + color: #000000; + font-weight: 500; + margin-left: 124px; + margin-bottom: 10px; + }; + .speech_text_prompt { + height: 20px; + font-family: PingFangSC-Regular; + font-size: 14px; + color: #999999; + font-weight: 400; + margin-left: 84px; + }; + }; + // 上传中 + .on_the_cross_speech { + width: 295px; + height: 230px; + padding-top: 32px; + box-sizing: border-box; + + .on_the_upload_img { + width: 116px; + height: 116px; + background: #7278F5; + border-radius: 50%; + margin-left: 98px; + cursor: pointer; + margin-bottom: 20px; + display: flex; + justify-content: center; + align-items: center; + + .on_the_upload_img_back { + width: 34.38px; + height: 30.82px; + background: #7278F5; + background: url("../../../../assets/image/ic_大-上传文件.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 34.38px 30.82px; + cursor: pointer; + + }; + }; + + + .on_the_speech_text { + height: 22px; + font-family: PingFangSC-Medium; + font-size: 16px; + color: #000000; + font-weight: 500; + margin-left: 124px; + margin-bottom: 10px; + display: flex; + // justify-content: center; + align-items: center; + .on_the_speech_loading { + display: inline-block; + width: 16px; + height: 16px; + background: #7278F5; + // background: url("../../../../assets/image/ic_开始聊天.svg"); + // background-repeat: no-repeat; + // background-position: center; + // background-size: 16px 16px; + margin-right: 8px; + }; + }; + }; + + //开始识别 + .public_recognition_speech_start { + width: 295px; + height: 230px; + padding-top: 32px; + box-sizing: border-box; + position: relative; + .public_recognition_speech_content { + width: 100%; + position: absolute; + top: 40px; + left: 50%; + transform: translateX(-50%); + display: flex; + justify-content: center; + align-items: center; + + .public_recognition_speech_title { + height: 22px; + font-family: PingFangSC-Regular; + font-size: 16px; + color: #000000; + font-weight: 400; + }; + .public_recognition_speech_again { + height: 22px; + font-family: PingFangSC-Regular; + font-size: 16px; + color: #2932E1; + font-weight: 400; + margin-left: 30px; + cursor: pointer; + }; + .public_recognition_speech_play { + height: 22px; + font-family: PingFangSC-Regular; + font-size: 16px; + color: #2932E1; + font-weight: 400; + margin-left: 20px; + cursor: pointer; + }; + }; + .speech_promp { + position: absolute; + top: 112px; + left: 50%; + transform: translateX(-50%); + width: 142px; + height: 44px; + background: #2932E1; + border-radius: 22px; + font-family: PingFangSC-Medium; + font-size: 14px; + color: #FFFFFF; + text-align: center; + line-height: 44px; + font-weight: 500; + cursor: pointer; + }; + + + }; + // 识别中 + .public_recognition_speech_identify { + width: 295px; + height: 230px; + padding-top: 32px; + box-sizing: border-box; + position: relative; + .public_recognition_speech_identify_box { + width: 143px; + height: 44px; + background: #7278F5; + border-radius: 22px; + position: absolute; + top: 50%; + left: 50%; + transform: translate(-50%,-50%); + display: flex; + justify-content: center; + align-items: center; + cursor: pointer; + .public_recognition_speech_identify_back_img { + width: 16px; + height: 16px; + // background: #7278F5; + // background: url("../../../../assets/image/ic_开始聊天.svg"); + // background-repeat: no-repeat; + // background-position: center; + // background-size: 16px 16px; + }; + .public_recognition__identify_the_promp { + height: 20px; + font-family: PingFangSC-Medium; + font-size: 14px; + color: #FFFFFF; + font-weight: 500; + margin-left: 12px; + }; + }; + + + + }; + // 重新识别 + .public_recognition_speech_identify_ahain { + width: 295px; + height: 230px; + padding-top: 32px; + box-sizing: border-box; + position: relative; + cursor: pointer; + .public_recognition_speech_identify_box_btn { + width: 143px; + height: 44px; + background: #2932E1; + border-radius: 22px; + position: absolute; + top: 50%; + left: 50%; + transform: translate(-50%,-50%); + display: flex; + justify-content: center; + align-items: center; + cursor: pointer; + .public_recognition__identify_the_btn { + height: 20px; + font-family: PingFangSC-Medium; + font-size: 14px; + color: #FFFFFF; + font-weight: 500; + }; + }; + + + + }; + // 指向 + .public_recognition_point_to { + width: 47px; + height: 67px; + background: url("../../../../assets/image/步骤-箭头切图@2x.png") no-repeat; + background-position: center; + background-size: 47px 67px; + margin-top: 91px; + margin-right: 67px; + }; + // 识别结果 + .public_recognition_result { + width: 680px; + height: 230px; + background: #FAFAFA; + padding: 40px 50px 0px 50px; + div { + &:nth-of-type(1) { + height: 26px; + font-family: PingFangSC-Medium; + font-size: 16px; + color: #666666; + line-height: 26px; + font-weight: 500; + margin-bottom: 20px; + }; + &:nth-of-type(2) { + height: 26px; + font-family: PingFangSC-Medium; + font-size: 16px; + color: #666666; + line-height: 26px; + font-weight: 500; + }; + }; + }; +}; \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/EndToEnd/EndToEndIdentification.vue b/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/EndToEnd/EndToEndIdentification.vue new file mode 100644 index 000000000..651e8c725 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/EndToEnd/EndToEndIdentification.vue @@ -0,0 +1,92 @@ + + + + + \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/EndToEnd/style.less b/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/EndToEnd/style.less new file mode 100644 index 000000000..1fc04b2c7 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/EndToEnd/style.less @@ -0,0 +1,114 @@ +.endToEndIdentification { + width: 1106px; + height: 270px; + // background-color: pink; + padding-top: 40px; + box-sizing: border-box; + display: flex; + // 开始识别 + .public_recognition_speech { + width: 295px; + height: 230px; + padding-top: 32px; + box-sizing: border-box; + + .endToEndIdentification_start_recorder_img { + width: 116px; + height: 116px; + background: #2932E1; + background: url("../../../../assets/image/ic_开始聊天.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 116px 116px; + margin-left: 98px; + cursor: pointer; + margin-bottom: 20px; + &:hover { + background: url("../../../../assets/image/ic_开始聊天_hover.svg"); + + }; + + }; + + .endToEndIdentification_end_recorder_img { + width: 116px; + height: 116px; + background: #2932E1; + border-radius: 50%; + display: flex; + justify-content: center; + align-items: center; + margin-left: 98px; + margin-bottom: 20px; + cursor: pointer; + .endToEndIdentification_end_recorder_img_back { + width: 50px; + height: 50px; + background: url("../../../../assets/image/ic_大-声音波浪.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 50px 50px; + + &:hover { + opacity: 0.9; + + }; + }; + + }; + .endToEndIdentification_prompt { + height: 22px; + font-family: PingFangSC-Medium; + font-size: 16px; + color: #000000; + font-weight: 500; + margin-left: 124px; + margin-bottom: 10px; + }; + .speech_text_prompt { + height: 20px; + font-family: PingFangSC-Regular; + font-size: 14px; + color: #999999; + font-weight: 400; + margin-left: 90px; + }; + }; + // 指向 + .public_recognition_point_to { + width: 47px; + height: 67px; + background: url("../../../../assets/image/步骤-箭头切图@2x.png") no-repeat; + background-position: center; + background-size: 47px 67px; + margin-top: 91px; + margin-right: 67px; + }; + // 识别结果 + .public_recognition_result { + width: 680px; + height: 230px; + background: #FAFAFA; + padding: 40px 50px 0px 50px; + div { + &:nth-of-type(1) { + height: 26px; + font-family: PingFangSC-Medium; + font-size: 16px; + color: #666666; + line-height: 26px; + font-weight: 500; + margin-bottom: 20px; + }; + &:nth-of-type(2) { + height: 26px; + font-family: PingFangSC-Medium; + font-size: 16px; + color: #666666; + line-height: 26px; + font-weight: 500; + }; + }; + }; + +}; \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/RealTime/RealTime.vue b/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/RealTime/RealTime.vue new file mode 100644 index 000000000..761a5c11f --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/RealTime/RealTime.vue @@ -0,0 +1,128 @@ + + + + + \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/RealTime/style.less b/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/RealTime/style.less new file mode 100644 index 000000000..baa89c570 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/RealTime/style.less @@ -0,0 +1,112 @@ +.realTime{ + width: 1106px; + height: 270px; + // background-color: pink; + padding-top: 40px; + box-sizing: border-box; + display: flex; + // 开始识别 + .public_recognition_speech { + width: 295px; + height: 230px; + padding-top: 32px; + box-sizing: border-box; + .endToEndIdentification_start_recorder_img { + width: 116px; + height: 116px; + background: #2932E1; + background: url("../../../../assets/image/ic_开始聊天.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 116px 116px; + margin-left: 98px; + cursor: pointer; + margin-bottom: 20px; + &:hover { + background: url("../../../../assets/image/ic_开始聊天_hover.svg"); + + }; + + }; + + .endToEndIdentification_end_recorder_img { + width: 116px; + height: 116px; + background: #2932E1; + border-radius: 50%; + display: flex; + justify-content: center; + align-items: center; + margin-left: 98px; + margin-bottom: 20px; + cursor: pointer; + .endToEndIdentification_end_recorder_img_back { + width: 50px; + height: 50px; + background: url("../../../../assets/image/ic_大-声音波浪.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 50px 50px; + + &:hover { + opacity: 0.9; + + }; + }; + + }; + .endToEndIdentification_prompt { + height: 22px; + font-family: PingFangSC-Medium; + font-size: 16px; + color: #000000; + font-weight: 500; + margin-left: 124px; + margin-bottom: 10px; + }; + .speech_text_prompt { + height: 20px; + font-family: PingFangSC-Regular; + font-size: 14px; + color: #999999; + font-weight: 400; + margin-left: 105px; + }; + }; + // 指向 + .public_recognition_point_to { + width: 47px; + height: 67px; + background: url("../../../../assets/image/步骤-箭头切图@2x.png") no-repeat; + background-position: center; + background-size: 47px 67px; + margin-top: 91px; + margin-right: 67px; + }; + // 识别结果 + .public_recognition_result { + width: 680px; + height: 230px; + background: #FAFAFA; + padding: 40px 50px 0px 50px; + div { + &:nth-of-type(1) { + height: 26px; + font-family: PingFangSC-Medium; + font-size: 16px; + color: #666666; + line-height: 26px; + font-weight: 500; + margin-bottom: 20px; + }; + &:nth-of-type(2) { + height: 26px; + font-family: PingFangSC-Medium; + font-size: 16px; + color: #666666; + line-height: 26px; + font-weight: 500; + }; + }; + }; +}; \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/style.less b/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/style.less new file mode 100644 index 000000000..92ce9340b --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/style.less @@ -0,0 +1,76 @@ +.speech_recognition { + width: 1200px; + height: 410px; + background: #FFFFFF; + padding: 40px 50px 50px 44px; + position: relative; + .frame { + width: 605px; + height: 50px; + border: 1px solid rgba(238,238,238,1); + border-radius: 25px; + position: absolute; + } + .speech_recognition_mytabs { + .ant-tabs-tab { + position: relative; + display: inline-flex; + align-items: center; + // padding: 12px 0; + font-size: 14px; + background: transparent; + border: 0; + outline: none; + cursor: pointer; + padding: 12px 26px; + box-sizing: border-box; + } + .ant-tabs-tab-active { + height: 50px; + background: #EEEFFD; + border-radius: 25px; + padding: 12px 26px; + box-sizing: border-box; + }; + .speech_recognition .speech_recognition_mytabs .ant-tabs-ink-bar { + position: absolute; + background: transparent !important; + pointer-events: none; + } + .ant-tabs-ink-bar { + position: absolute; + background: transparent !important; + pointer-events: none; + } + .experience .experience_wrapper .experience_content .experience_tabs .ant-tabs-nav::before { + position: absolute; + right: 0; + left: 0; + border-bottom: 1px solid transparent !important; + // border: none; + content: ''; + } + .ant-tabs-top > .ant-tabs-nav::before, .ant-tabs-bottom > .ant-tabs-nav::before, .ant-tabs-top > div > .ant-tabs-nav::before, .ant-tabs-bottom > div > .ant-tabs-nav::before { + position: absolute; + right: 0; + left: 0; + border-bottom: 1px solid transparent !important; + // border: none; + content: ''; + } + .ant-tabs-top > .ant-tabs-nav::before, .ant-tabs-bottom > .ant-tabs-nav::before, .ant-tabs-top > div > .ant-tabs-nav::before, .ant-tabs-bottom > div > .ant-tabs-nav::before { + position: absolute; + right: 0; + left: 0; + border-bottom: 1px solid transparent !important; + content: ''; + } + .ant-tabs-nav::before { + position: absolute; + right: 0; + left: 0; + border-bottom: 1px solid transparent !important; + content: ''; + }; + }; +}; \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ChatBot/Chat.vue b/demos/speech_web_demo/web_client/src/components/SubMenu/ChatBot/Chat.vue new file mode 100644 index 000000000..9d356fc80 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/SubMenu/ChatBot/Chat.vue @@ -0,0 +1,298 @@ + + + + + \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ChatBot/ChatT.vue b/demos/speech_web_demo/web_client/src/components/SubMenu/ChatBot/ChatT.vue new file mode 100644 index 000000000..c37c083ff --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/SubMenu/ChatBot/ChatT.vue @@ -0,0 +1,255 @@ + + + + + \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ChatBot/style.less b/demos/speech_web_demo/web_client/src/components/SubMenu/ChatBot/style.less new file mode 100644 index 000000000..d868fd470 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/SubMenu/ChatBot/style.less @@ -0,0 +1,181 @@ +.voice_chat { + width: 1200px; + height: 410px; + background: #FFFFFF; + position: relative; + // 开始聊天 + .voice_chat_wrapper { + top: 50%; + left: 50%; + transform: translate(-50%,-50%); + position: absolute; + .voice_chat_btn { + width: 116px; + height: 116px; + margin-left: 54px; + // background: #2932E1; + border-radius: 50%; + cursor: pointer; + background: url("../../../assets/image/ic_开始聊天.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 116px 116px; + margin-bottom: 17px; + &:hover { + width: 116px; + height: 116px; + background: url("../../../assets/image/ic_开始聊天_hover.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 116px 116px; + }; + + }; + .voice_chat_btn_title { + height: 22px; + font-family: PingFangSC-Medium; + font-size: 16px; + color: #000000; + letter-spacing: 0; + text-align: center; + line-height: 22px; + font-weight: 500; + margin-bottom: 10px; + }; + .voice_chat_btn_prompt { + height: 24px; + font-family: PingFangSC-Regular; + font-size: 14px; + color: #999999; + letter-spacing: 0; + text-align: center; + line-height: 24px; + font-weight: 400; + }; + }; + .voice_chat_wrapper::after { + content: ""; + display: block; + clear: both; + visibility: hidden; + }; + // 结束聊天 + .voice_chat_dialog_wrapper { + width: 1200px; + height: 410px; + background: #FFFFFF; + position: relative; + .dialog_box { + width: 100%; + height: 410px; + padding: 50px 198px 82px 199px; + box-sizing: border-box; + + .dialog_content { + width: 100%; + height: 268px; + // background: rgb(113, 144, 145); + padding: 0px; + overflow: auto; + li { + list-style-type: none; + margin-bottom: 33px; + display: flex; + align-items: center; + &:last-of-type(1) { + margin-bottom: 0px; + }; + .dialog_content_img_pp { + width: 60px; + height: 60px; + // transform: scaleX(-1); + background: url("../../../assets/image/飞桨头像@2x.png"); + background-repeat: no-repeat; + background-position: center; + background-size: 60px 60px; + margin-right: 20px; + }; + .dialog_content_img_user { + width: 60px; + height: 60px; + transform: scaleX(-1); + background: url("../../../assets/image/用户头像@2x.png"); + background-repeat: no-repeat; + background-position: center; + background-size: 60px 60px; + margin-left: 20px; + }; + .dialog_content_dialogue_pp { + height: 50px; + background: #F5F5F5; + border-radius: 25px; + font-family: PingFangSC-Regular; + font-size: 14px; + color: #000000; + line-height: 50px; + font-weight: 400; + padding: 0px 16px; + box-sizing: border-box; + }; + .dialog_content_dialogue_user { + height: 50px; + background: rgba(41,50,225,0.90); + border-radius: 25px; + font-family: PingFangSC-Regular; + font-size: 14px; + color: #FFFFFF; + line-height: 50px; + font-weight: 400; + padding: 0px 16px; + box-sizing: border-box; + }; + }; + }; + .move_dialogue { + justify-content: flex-end; + }; + + }; + + .btn_end_dialog { + width: 124px; + height: 42px; + line-height: 42px; + background: #FFFFFF; + box-shadow: 0px 4px 16px 0px rgba(0,0,0,0.09); + border-radius: 21px; + padding: 0px 24px; + box-sizing: border-box; + position: absolute; + left: 50%; + bottom: 40px; + transform: translateX(-50%); + display: flex; + justify-content: space-between; + align-items: center; + cursor: pointer; + span { + display: inline-block; + &:nth-of-type(1) { + width: 16px; + height: 16px; + background: url("../../../assets/image/ic_小-结束.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 16px 16px; + + }; + &:nth-of-type(2) { + height: 20px; + font-family: PingFangSC-Regular; + font-size: 14px; + color: #F33E3E; + text-align: center; + font-weight: 400; + line-height: 20px; + margin-left: 4px; + }; + }; + }; + }; +}; \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/IE/IE.vue b/demos/speech_web_demo/web_client/src/components/SubMenu/IE/IE.vue new file mode 100644 index 000000000..c7dd04e9d --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/SubMenu/IE/IE.vue @@ -0,0 +1,125 @@ + + + + + \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/IE/IET.vue b/demos/speech_web_demo/web_client/src/components/SubMenu/IE/IET.vue new file mode 100644 index 000000000..50eadec70 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/SubMenu/IE/IET.vue @@ -0,0 +1,166 @@ + + + + + \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/IE/style.less b/demos/speech_web_demo/web_client/src/components/SubMenu/IE/style.less new file mode 100644 index 000000000..988666a26 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/SubMenu/IE/style.less @@ -0,0 +1,179 @@ +.voice_commands { + width: 1200px; + height: 410px; + background: #FFFFFF; + padding: 40px 50px 50px 50px; + box-sizing: border-box; + display: flex; + // 交通报销 + .voice_commands_traffic { + width: 468px; + height: 320px; + .voice_commands_traffic_title { + height: 26px; + font-family: PingFangSC-Medium; + font-size: 16px; + color: #000000; + letter-spacing: 0; + line-height: 26px; + font-weight: 500; + margin-bottom: 30px; + // background: pink; + }; + .voice_commands_traffic_wrapper { + width: 465px; + height: 264px; + // background: #FAFAFA; + position: relative; + .voice_commands_traffic_wrapper_move { + position: absolute; + top: 50%; + left: 50%; + transform: translate(-50%,-50%); + }; + .traffic_btn_img_btn { + width: 116px; + height: 116px; + background: #2932E1; + display: flex; + justify-content: center; + align-items: center; + border-radius: 50%; + cursor: pointer; + margin-bottom: 20px; + margin-left: 84px; + &:hover { + width: 116px; + height: 116px; + background: #7278F5; + + .start_recorder_img{ + width: 50px; + height: 50px; + background: url("../../../assets/image/ic_开始聊天_hover.svg") no-repeat; + background-position: center; + background-size: 50px 50px; + }; + + }; + + .start_recorder_img{ + width: 50px; + height: 50px; + background: url("../../../assets/image/ic_开始聊天.svg") no-repeat; + background-position: center; + background-size: 50px 50px; + }; + + }; + .traffic_btn_prompt { + height: 22px; + font-family: PingFangSC-Medium; + font-size: 16px; + color: #000000; + font-weight: 500; + margin-bottom: 16px; + margin-left: 110px; + }; + .traffic_btn_list { + height: 20px; + font-family: PingFangSC-Regular; + font-size: 12px; + color: #999999; + font-weight: 400; + width: 112%; + }; + }; + }; + //指向 + .voice_point_to { + width: 47px; + height: 63px; + background: url("../../../assets/image/步骤-箭头切图@2x.png") no-repeat; + background-position: center; + background-size: 47px 63px; + margin-top: 164px; + margin-right: 82px; + }; + //识别结果 + .voice_commands_IdentifyTheResults { + .voice_commands_IdentifyTheResults_title { + height: 26px; + font-family: PingFangSC-Medium; + font-size: 16px; + color: #000000; + line-height: 26px; + font-weight: 500; + margin-bottom: 30px; + }; + // 显示框 + .voice_commands_IdentifyTheResults_show { + width: 503px; + height: 264px; + background: #FAFAFA; + padding: 40px 0px 0px 50px; + box-sizing: border-box; + .voice_commands_IdentifyTheResults_show_title { + height: 22px; + font-family: PingFangSC-Medium; + font-size: 16px; + color: #000000; + // text-align: center; + font-weight: 500; + margin-bottom: 30px; + }; + .oice_commands_IdentifyTheResults_show_time { + height: 20px; + font-family: PingFangSC-Medium; + font-size: 14px; + color: #666666; + font-weight: 500; + margin-bottom: 12px; + }; + .oice_commands_IdentifyTheResults_show_money { + height: 20px; + font-family: PingFangSC-Medium; + font-size: 14px; + color: #666666; + font-weight: 500; + margin-bottom: 12px; + }; + .oice_commands_IdentifyTheResults_show_origin { + height: 20px; + font-family: PingFangSC-Medium; + font-size: 14px; + color: #666666; + font-weight: 500; + margin-bottom: 12px; + }; + .oice_commands_IdentifyTheResults_show_destination { + height: 20px; + font-family: PingFangSC-Medium; + font-size: 14px; + color: #666666; + font-weight: 500; + }; + }; + //加载状态 + .voice_commands_IdentifyTheResults_show_loading { + width: 503px; + height: 264px; + background: #FAFAFA; + padding: 40px 0px 0px 50px; + box-sizing: border-box; + display: flex; + justify-content: center; + align-items: center; + }; + }; + .end_recorder_img { + width: 50px; + height: 50px; + background: url("../../../assets/image/ic_大-声音波浪.svg") no-repeat; + background-position: center; + background-size: 50px 50px; + }; + .end_recorder_img:hover { + opacity: 0.9; + }; +}; \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/TTS/TTS.vue b/demos/speech_web_demo/web_client/src/components/SubMenu/TTS/TTS.vue new file mode 100644 index 000000000..13884ef76 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/SubMenu/TTS/TTS.vue @@ -0,0 +1,726 @@ + + + + + + + \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/TTS/TTST.vue b/demos/speech_web_demo/web_client/src/components/SubMenu/TTS/TTST.vue new file mode 100644 index 000000000..353221f7b --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/SubMenu/TTS/TTST.vue @@ -0,0 +1,359 @@ + + + + + + + \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/TTS/style.less b/demos/speech_web_demo/web_client/src/components/SubMenu/TTS/style.less new file mode 100644 index 000000000..b5d189650 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/SubMenu/TTS/style.less @@ -0,0 +1,369 @@ +.speech_recognition { + width: 1200px; + height: 410px; + background: #FFFFFF; + padding: 40px 0px 50px 50px; + box-sizing: border-box; + display: flex; + .recognition_text { + width: 589px; + height: 320px; + // background: pink; + .recognition_text_header { + margin-bottom: 30px; + display: flex; + justify-content: space-between; + align-items: center; + .recognition_text_title { + height: 26px; + font-family: PingFangSC-Medium; + font-size: 16px; + color: #000000; + letter-spacing: 0; + line-height: 26px; + font-weight: 500; + }; + .recognition_text_random { + display: flex; + align-items: center; + cursor: pointer; + span { + display: inline-block; + &:nth-of-type(1) { + width: 20px; + height: 20px; + background: url("../../../assets/image/ic_更换示例.svg") no-repeat; + background-position: center; + background-size: 20px 20px; + margin-right: 5px; + + }; + &:nth-of-type(2) { + height: 20px; + font-family: PingFangSC-Regular; + font-size: 14px; + color: #2932E1; + letter-spacing: 0; + font-weight: 400; + }; + }; + }; + }; + .recognition_text_field { + width: 589px; + height: 264px; + background: #FAFAFA; + .textToSpeech_content_show_text{ + width: 100%; + height: 264px; + padding: 0px 30px 30px 0px; + box-sizing: border-box; + .ant-input { + height: 208px; + resize: none; + // margin-bottom: 230px; + padding: 21px 20px; + }; + }; + }; + }; + // 指向 + .recognition_point_to { + width: 47px; + height: 63px; + background: url("../../../assets/image/步骤-箭头切图@2x.png") no-repeat; + background-position: center; + background-size: 47px 63px; + margin-top: 164px; + margin-right: 101px; + margin-left: 100px; + margin-top: 164px; + }; + // 语音合成 + .speech_recognition_new { + .speech_recognition_title { + height: 26px; + font-family: PingFangSC-Medium; + font-size: 16px; + color: #000000; + line-height: 26px; + font-weight: 500; + margin-left: 32px; + margin-bottom: 96px; + }; + // 流式合成 + .speech_recognition_streaming { + width: 136px; + height: 44px; + background: #2932E1; + border-radius: 22px; + font-family: PingFangSC-Medium; + font-size: 14px; + color: #FFFFFF; + font-weight: 500; + text-align: center; + line-height: 44px; + margin-bottom: 40px; + cursor: pointer; + &:hover { + opacity: .9; + }; + }; + // 合成中 + .streaming_ing_box { + display: flex; + align-items: center; + height: 44px; + margin-bottom: 40px; + .streaming_ing { + width: 136px; + height: 44px; + background: #7278F5; + border-radius: 22px; + display: flex; + justify-content: center; + align-items: center; + cursor: pointer; + + .streaming_ing_img { + width: 16px; + height: 16px; + // background: url("../../../assets/image/ic_小-录制语音.svg"); + // background-repeat: no-repeat; + // background-position: center; + // background-size: 16px 16px; + // margin-right: 12px; + }; + .streaming_ing_text { + height: 20px; + font-family: PingFangSC-Medium; + font-size: 14px; + color: #FFFFFF; + font-weight: 500; + margin-left: 12px; + }; + }; + // 合成时间文字 + .streaming_time { + height: 20px; + font-family: PingFangSC-Medium; + font-size: 14px; + color: #000000; + font-weight: 500; + margin-left: 12px; + }; + }; + + + // 暂停播放 + .streaming_suspended_box { + display: flex; + align-items: center; + height: 44px; + margin-bottom: 40px; + .streaming_suspended { + width: 136px; + height: 44px; + background: #2932E1; + border-radius: 22px; + display: flex; + justify-content: center; + align-items: center; + cursor: pointer; + + .streaming_suspended_img { + width: 16px; + height: 16px; + background: url("../../../assets/image/ic_暂停（按钮）.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 16px 16px; + margin-right: 12px; + }; + .streaming_suspended_text { + height: 20px; + font-family: PingFangSC-Medium; + font-size: 14px; + color: #FFFFFF; + font-weight: 500; + margin-left: 12px; + }; + + }; + // 暂停获取时间 + .suspended_time { + height: 20px; + font-family: PingFangSC-Medium; + font-size: 14px; + color: #000000; + font-weight: 500; + margin-left: 12px; + } + }; + + // 继续播放 + .streaming_continue { + width: 136px; + height: 44px; + background: #2932E1; + border-radius: 22px; + display: flex; + justify-content: center; + align-items: center; + cursor: pointer; + margin-bottom: 40px; + .streaming_continue_img { + width: 16px; + height: 16px; + background: url("../../../assets/image/ic_播放（按钮）.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 16px 16px; + margin-right: 12px; + }; + .streaming_continue_text { + height: 20px; + font-family: PingFangSC-Medium; + font-size: 14px; + color: #FFFFFF; + font-weight: 500; + }; + }; + + + + + + + // 端到端合成 + .speech_recognition_end_to_end { + width: 136px; + height: 44px; + background: #2932E1; + border-radius: 22px; + font-family: PingFangSC-Medium; + font-size: 14px; + color: #FFFFFF; + font-weight: 500; + text-align: center; + line-height: 44px; + cursor: pointer; + &:hover { + opacity: .9; + }; + }; + // 合成中 + .end_to_end_ing_box { + display: flex; + align-items: center; + height: 44px; + .end_to_end_ing { + width: 136px; + height: 44px; + background: #7278F5; + border-radius: 22px; + display: flex; + justify-content: center; + align-items: center; + cursor: pointer; + .end_to_end_ing_img { + width: 16px; + height: 16px; + // background: url("../../../assets/image/ic_小-录制语音.svg"); + // background-repeat: no-repeat; + // background-position: center; + // background-size: 16px 16px; + + }; + .end_to_end_ing_text { + height: 20px; + font-family: PingFangSC-Medium; + font-size: 14px; + color: #FFFFFF; + font-weight: 500; + margin-left: 12px; + }; + }; + // 合成时间文本 + .end_to_end_ing_time { + height: 20px; + font-family: PingFangSC-Medium; + font-size: 14px; + color: #000000; + font-weight: 500; + margin-left: 12px; + }; + }; + + + // 暂停播放 + .end_to_end_suspended_box { + display: flex; + align-items: center; + height: 44px; + .end_to_end_suspended { + width: 136px; + height: 44px; + background: #2932E1; + border-radius: 22px; + display: flex; + justify-content: center; + align-items: center; + cursor: pointer; + .end_to_end_suspended_img { + width: 16px; + height: 16px; + background: url("../../../assets/image/ic_暂停（按钮）.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 16px 16px; + margin-right: 12px; + }; + .end_to_end_suspended_text { + height: 20px; + font-family: PingFangSC-Medium; + font-size: 14px; + color: #FFFFFF; + font-weight: 500; + }; + }; + // 暂停播放时间 + .end_to_end_ing_suspended_time { + height: 20px; + font-family: PingFangSC-Medium; + font-size: 14px; + color: #000000; + font-weight: 500; + margin-left: 12px; + }; + }; + + // 继续播放 + .end_to_end_continue { + width: 136px; + height: 44px; + background: #2932E1; + border-radius: 22px; + display: flex; + justify-content: center; + align-items: center; + cursor: pointer; + .end_to_end_continue_img { + width: 16px; + height: 16px; + background: url("../../../assets/image/ic_播放（按钮）.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 16px 16px; + margin-right: 12px; + }; + .end_to_end_continue_text { + height: 20px; + font-family: PingFangSC-Medium; + font-size: 14px; + color: #FFFFFF; + font-weight: 500; + }; + }; + }; +}; \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/VPR/VPR.vue b/demos/speech_web_demo/web_client/src/components/SubMenu/VPR/VPR.vue new file mode 100644 index 000000000..1fe71e4d8 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/SubMenu/VPR/VPR.vue @@ -0,0 +1,178 @@ + + + + + \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/VPR/VPRT.vue b/demos/speech_web_demo/web_client/src/components/SubMenu/VPR/VPRT.vue new file mode 100644 index 000000000..e398da00c --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/SubMenu/VPR/VPRT.vue @@ -0,0 +1,335 @@ + + + + + \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/VPR/style.less b/demos/speech_web_demo/web_client/src/components/SubMenu/VPR/style.less new file mode 100644 index 000000000..cb3df49ef --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/SubMenu/VPR/style.less @@ -0,0 +1,419 @@ +.voiceprint { + width: 1200px; + height: 410px; + background: #FFFFFF; + padding: 41px 80px 56px 80px; + box-sizing: border-box; + display: flex; + // 录制声纹 + .voiceprint_recording { + width: 423px; + height: 354px; + margin-right: 66px; + .recording_title { + display: flex; + align-items: center; + margin-bottom: 20px; + div { + &:nth-of-type(1) { + width: 24px; + height: 24px; + background: rgba(41,50,225,0.70); + font-family: PingFangSC-Regular; + font-size: 16px; + color: #FFFFFF; + letter-spacing: 0; + text-align: center; + line-height: 24px; + font-weight: 400; + margin-right: 16px; + border-radius: 50%; + }; + &:nth-of-type(2) { + height: 26px; + font-family: PingFangSC-Regular; + font-size: 16px; + color: #000000; + line-height: 26px; + font-weight: 400; + }; + }; + }; + // 开始录音 + .recording_btn { + width: 143px; + height: 44px; + cursor: pointer; + background: #2932E1; + padding: 0px 24px 0px 21px; + box-sizing: border-box; + border-radius: 22px; + display: flex; + align-items: center; + margin-bottom: 20px; + margin-top: 10px; + + &:hover { + background: #7278F5; + .recording_img { + width: 20px; + height: 20px; + background: url("../../../assets/image//icon_录制声音小语音1.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 20px 20px; + margin-right: 8.26px; + + }; + } + .recording_img { + width: 20px; + height: 20px; + background: url("../../../assets/image//icon_录制声音小语音1.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 20px 20px; + margin-right: 8.26px; + + }; + .recording_prompt { + height: 20px; + font-family: PingFangSC-Regular; + font-size: 12px; + color: #FFFFFF; + font-weight: 400; + }; + + }; + // 录音中 + .recording_btn_the_recording { + width: 143px; + height: 44px; + cursor: pointer; + background: #7278F5; + padding: 0px 24px 0px 21px; + box-sizing: border-box; + border-radius: 22px; + display: flex; + align-items: center; + justify-content: center; + margin-bottom: 40px; + .recording_img_the_recording { + width: 20px; + height: 20px; + background: url("../../../assets/image//icon_小-声音波浪.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 20px 20px; + margin-right: 8.26px; + }; + .recording_prompt { + height: 20px; + font-family: PingFangSC-Regular; + font-size: 12px; + color: #FFFFFF; + font-weight: 400; + }; + }; + // 完成录音 + .complete_the_recording_btn { + width: 143px; + height: 44px; + cursor: pointer; + background: #2932E1; + padding: 0px 24px 0px 21px; + box-sizing: border-box; + border-radius: 22px; + display: flex; + align-items: center; + margin-bottom: 40px; + &:hover { + background: #7278F5; + .complete_the_recording_img { + width: 20px; + height: 20px; + background: url("../../../assets/image//icon_小-声音波浪.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 20px 20px; + margin-right: 8.26px; + + }; + } + .complete_the_recording_img { + width: 20px; + height: 20px; + background: url("../../../assets/image//icon_小-声音波浪.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 20px 20px; + margin-right: 8.26px; + + }; + .complete_the_recording_prompt { + height: 20px; + font-family: PingFangSC-Regular; + font-size: 12px; + color: #FFFFFF; + font-weight: 400; + }; + + }; + // table + .recording_table { + width: 322px; + .recording_table_box { + .ant-table-thead > tr > th { + color: rgba(0, 0, 0, 0.85); + font-weight: 500; + text-align: left; + background: rgba(40,50,225,0.08); + border-bottom: none; + transition: background 0.3s ease; + height: 22px; + font-family: PingFangSC-Regular; + font-size: 16px; + color: #333333; + // text-align: center; + font-weight: 400; + &:nth-of-type(2) { + border-left: 2px solid white; + }; + }; + .ant-table-tbody > tr > td { + border-bottom: 1px solid #f0f0f0; + transition: background 0.3s; + height: 22px; + font-family: PingFangSC-Regular; + font-size: 16px; + color: #333333; + // text-align: center; + font-weight: 400; + }; + }; + }; + // input + .recording_input { + width: 322px; + margin-bottom: 20px; + }; + }; + // 指向 + .recording_point_to { + width: 63px; + height: 47px; + background: url("../../../assets/image//步骤-箭头切图@2x.png"); + background-repeat: no-repeat; + background-position: center; + background-size: 63px 47px; + margin-right: 66px; + margin-top: 198px; + }; + //识别声纹 + .voiceprint_identify { + width: 423px; + height: 354px; + .identify_title { + display: flex; + align-items: center; + margin-bottom: 20px; + div { + &:nth-of-type(1) { + width: 24px; + height: 24px; + background: rgba(41,50,225,0.70); + font-family: PingFangSC-Regular; + font-size: 16px; + color: #FFFFFF; + letter-spacing: 0; + text-align: center; + line-height: 24px; + font-weight: 400; + margin-right: 16px; + border-radius: 50%; + }; + &:nth-of-type(2) { + height: 26px; + font-family: PingFangSC-Regular; + font-size: 16px; + color: #000000; + line-height: 26px; + font-weight: 400; + }; + }; + }; + // 开始识别 + .identify_btn { + width: 143px; + height: 44px; + cursor: pointer; + background: #2932E1; + padding: 0px 24px 0px 21px; + box-sizing: border-box; + border-radius: 22px; + display: flex; + align-items: center; + margin-bottom: 40px; + margin-top: 10px; + &:hover { + background: #7278F5; + .identify_img { + width: 20px; + height: 20px; + background: url("../../../assets/image//icon_录制声音小语音1.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 20px 20px; + margin-right: 8.26px; + + }; + } + .identify_img { + width: 20px; + height: 20px; + background: url("../../../assets/image//icon_录制声音小语音1.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 20px 20px; + margin-right: 8.26px; + + }; + .identify_prompt { + height: 20px; + font-family: PingFangSC-Regular; + font-size: 12px; + color: #FFFFFF; + font-weight: 400; + }; + + }; + // 识别中 + .identify_btn_the_recording { + width: 143px; + height: 44px; + cursor: pointer; + background: #7278F5; + padding: 0px 24px 0px 21px; + box-sizing: border-box; + border-radius: 22px; + display: flex; + align-items: center; + justify-content: center; + margin-bottom: 40px; + .identify_img_the_recording { + width: 20px; + height: 20px; + background: url("../../../assets/image//icon_录制声音小语音1.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 20px 20px; + margin-right: 8.26px; + }; + .recording_prompt { + height: 20px; + font-family: PingFangSC-Regular; + font-size: 12px; + color: #FFFFFF; + font-weight: 400; + }; + }; + // 完成识别 + .identify_complete_the_recording_btn { + width: 143px; + height: 44px; + cursor: pointer; + background: #2932E1; + padding: 0px 24px 0px 21px; + box-sizing: border-box; + border-radius: 22px; + display: flex; + align-items: center; + margin-bottom: 40px; + &:hover { + background: #7278F5; + .identify_complete_the_recording_img { + width: 20px; + height: 20px; + background: url("../../../assets/image//icon_小-声音波浪.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 20px 20px; + margin-right: 8.26px; + + }; + } + .identify_complete_the_recording_img { + width: 20px; + height: 20px; + background: url("../../../assets/image//icon_小-声音波浪.svg"); + background-repeat: no-repeat; + background-position: center; + background-size: 20px 20px; + margin-right: 8.26px; + + }; + .identify_complete_the_recording_prompt { + height: 20px; + font-family: PingFangSC-Regular; + font-size: 12px; + color: #FFFFFF; + font-weight: 400; + }; + + }; + + + + + // 结果 + .identify_result { + width: 422px; + height: 184px; + text-align: center; + line-height: 184px; + background: #FAFAFA; + position: relative; + .identify_result_default { + + font-family: PingFangSC-Regular; + font-size: 16px; + color: #999999; + font-weight: 400; + }; + .identify_result_content { + // text-align: center; + // position: absolute; + // top: 50%; + // left: 50%; + // transform: translate(-50%,-50%); + div { + &:nth-of-type(1) { + height: 22px; + font-family: PingFangSC-Regular; + font-size: 16px; + color: #666666; + font-weight: 400; + margin-bottom: 10px; + }; + &:nth-of-type(2) { + height: 33px; + font-family: PingFangSC-Medium; + font-size: 24px; + color: #000000; + font-weight: 500; + }; + }; + }; + }; + }; + .action_btn { + display: inline-block; + height: 22px; + font-family: PingFangSC-Regular; + font-size: 16px; + color: #2932E1; + text-align: center; + font-weight: 400; + cursor: pointer; + }; +}; \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/components/style.less b/demos/speech_web_demo/web_client/src/components/style.less new file mode 100644 index 000000000..98f414f1c --- /dev/null +++ b/demos/speech_web_demo/web_client/src/components/style.less @@ -0,0 +1,83 @@ +.experience { + width: 100%; + height: 709px; + // background: url("../assets/image/在线体验-背景@2x.png") no-repeat; + background-size: 100% 709px; + background-position: initial; + // + .experience_wrapper { + width: 1200px; + height: 709px; + margin: 0 auto; + padding: 0px 0px 0px 0px; + box-sizing: border-box; + // background: red; + .experience_title { + height: 42px; + font-family: PingFangSC-Semibold; + font-size: 30px; + color: #000000; + font-weight: 600; + line-height: 42px; + text-align: center; + margin-bottom: 10px; + }; + .experience_describe { + height: 22px; + font-family: PingFangSC-Regular; + font-size: 14px; + color: #666666; + letter-spacing: 0; + text-align: center; + line-height: 22px; + font-weight: 400; + margin-bottom: 30px; + }; + .experience_content { + width: 1200px; + margin: 0 auto; + display: flex; + justify-content: center; + .experience_tabs { + + margin-top: 15px; + + & > .ant-tabs-nav { + margin-bottom: 20px; + + &::before { + content: none; + } + + .ant-tabs-nav-wrap { + justify-content: center; + } + + .ant-tabs-tab { + font-size: 20px; + } + + .ant-tabs-nav-list { + margin-right: -32px; + flex: none; + } + }; + + .ant-tabs-nav::before { + position: absolute; + right: 0; + left: 0; + border-bottom: 1px solid #f6f7fe; + content: ''; + }; + + }; + }; + }; +}; +.experience::after { + content: ""; + display: block; + clear: both; + visibility: hidden; +} \ No newline at end of file diff --git a/demos/speech_web_demo/web_client/src/main.js b/demos/speech_web_demo/web_client/src/main.js new file mode 100644 index 000000000..3fbf87c85 --- /dev/null +++ b/demos/speech_web_demo/web_client/src/main.js @@ -0,0 +1,13 @@ +import { createApp } from 'vue' +import ElementPlus from 'element-plus' +import 'element-plus/dist/index.css' +import Antd from 'ant-design-vue'; +import 'ant-design-vue/dist/antd.css'; +import App from './App.vue' +import axios from 'axios' + +const app = createApp(App) +app.config.globalProperties.$http = axios + +app.use(ElementPlus).use(Antd) +app.mount('#app') diff --git a/demos/speech_web_demo/web_client/vite.config.js b/demos/speech_web_demo/web_client/vite.config.js new file mode 100644 index 000000000..dc7e6978c --- /dev/null +++ b/demos/speech_web_demo/web_client/vite.config.js @@ -0,0 +1,28 @@ +import { defineConfig } from 'vite' +import vue from '@vitejs/plugin-vue' + +// https://vitejs.dev/config/ +export default defineConfig({ + plugins: [vue()], + css: + { preprocessorOptions: + { css: + { + charset: false + } + } + }, + build: { + assetsInlineLimit: '2048' // 2kb + }, + server: { + host: "0.0.0.0", + proxy: { + "/api": { + target: "http://localhost:8010", + changeOrigin: true, + rewrite: (path) => path.replace(/^\/api/, ""), + }, + }, + }, +}) diff --git a/demos/speech_web_demo/web_client/yarn.lock b/demos/speech_web_demo/web_client/yarn.lock new file mode 100644 index 000000000..4504eab36 --- /dev/null +++ b/demos/speech_web_demo/web_client/yarn.lock @@ -0,0 +1,785 @@ +# THIS IS AN AUTOGENERATED FILE. DO NOT EDIT THIS FILE DIRECTLY. +# yarn lockfile v1 + + +"@ant-design/colors@^6.0.0": + version "6.0.0" + resolved "https://registry.npmmirror.com/@ant-design/colors/-/colors-6.0.0.tgz" + integrity sha512-qAZRvPzfdWHtfameEGP2Qvuf838NhergR35o+EuVyB5XvSA98xod5r4utvi4TJ3ywmevm290g9nsCG5MryrdWQ== + dependencies: + "@ctrl/tinycolor" "^3.4.0" + +"@ant-design/icons-svg@^4.2.1": + version "4.2.1" + resolved "https://registry.npmmirror.com/@ant-design/icons-svg/-/icons-svg-4.2.1.tgz" + integrity sha512-EB0iwlKDGpG93hW8f85CTJTs4SvMX7tt5ceupvhALp1IF44SeUFOMhKUOYqpsoYWQKAOuTRDMqn75rEaKDp0Xw== + +"@ant-design/icons-vue@^6.0.0": + version "6.1.0" + resolved "https://registry.npmmirror.com/@ant-design/icons-vue/-/icons-vue-6.1.0.tgz" + integrity sha512-EX6bYm56V+ZrKN7+3MT/ubDkvJ5rK/O2t380WFRflDcVFgsvl3NLH7Wxeau6R8DbrO5jWR6DSTC3B6gYFp77AA== + dependencies: + "@ant-design/colors" "^6.0.0" + "@ant-design/icons-svg" "^4.2.1" + +"@babel/parser@^7.16.4": + version "7.17.9" + resolved "https://registry.npmmirror.com/@babel/parser/-/parser-7.17.9.tgz" + integrity sha512-vqUSBLP8dQHFPdPi9bc5GK9vRkYHJ49fsZdtoJ8EQ8ibpwk5rPKfvNIwChB0KVXcIjcepEBBd2VHC5r9Gy8ueg== + +"@babel/runtime@^7.10.5": + version "7.17.9" + resolved "https://registry.npmmirror.com/@babel/runtime/-/runtime-7.17.9.tgz" + integrity sha512-lSiBBvodq29uShpWGNbgFdKYNiFDo5/HIYsaCEY9ff4sb10x9jizo2+pRrSyF4jKZCXqgzuqBOQKbUm90gQwJg== + dependencies: + regenerator-runtime "^0.13.4" + +"@ctrl/tinycolor@^3.4.0": + version "3.4.1" + resolved "https://registry.npmmirror.com/@ctrl/tinycolor/-/tinycolor-3.4.1.tgz" + integrity sha512-ej5oVy6lykXsvieQtqZxCOaLT+xD4+QNarq78cIYISHmZXshCvROLudpQN3lfL8G0NL7plMSSK+zlyvCaIJ4Iw== + +"@element-plus/icons-vue@^1.1.4": + version "1.1.4" + resolved "https://registry.npmmirror.com/@element-plus/icons-vue/-/icons-vue-1.1.4.tgz" + integrity sha512-Iz/nHqdp1sFPmdzRwHkEQQA3lKvoObk8azgABZ81QUOpW9s/lUyQVUSh0tNtEPZXQlKwlSh7SPgoVxzrE0uuVQ== + +"@floating-ui/core@^0.6.1": + version "0.6.1" + resolved "https://registry.npmmirror.com/@floating-ui/core/-/core-0.6.1.tgz" + integrity sha512-Y30eVMcZva8o84c0HcXAtDO4BEzPJMvF6+B7x7urL2xbAqVsGJhojOyHLaoQHQYjb6OkqRq5kO+zeySycQwKqg== + +"@floating-ui/dom@^0.4.2": + version "0.4.4" + resolved "https://registry.npmmirror.com/@floating-ui/dom/-/dom-0.4.4.tgz" + integrity sha512-0Ulu3B/dqQplUUSqnTx0foSrlYuMN+GTtlJWvNJwt6Fr7/PqmlR/Y08o6/+bxDWr6p3roBJRaQ51MDZsNmEhhw== + dependencies: + "@floating-ui/core" "^0.6.1" + +"@popperjs/core@^2.11.4": + version "2.11.5" + resolved "https://registry.npmmirror.com/@popperjs/core/-/core-2.11.5.tgz" + integrity sha512-9X2obfABZuDVLCgPK9aX0a/x4jaOEweTTWE2+9sr0Qqqevj2Uv5XorvusThmc9XGYpS9yI+fhh8RTafBtGposw== + +"@simonwep/pickr@~1.8.0": + version "1.8.2" + resolved "https://registry.npmmirror.com/@simonwep/pickr/-/pickr-1.8.2.tgz" + integrity sha512-/l5w8BIkrpP6n1xsetx9MWPWlU6OblN5YgZZphxan0Tq4BByTCETL6lyIeY8lagalS2Nbt4F2W034KHLIiunKA== + dependencies: + core-js "^3.15.1" + nanopop "^2.1.0" + +"@types/lodash-es@^4.17.6": + version "4.17.6" + resolved "https://registry.npmmirror.com/@types/lodash-es/-/lodash-es-4.17.6.tgz" + integrity sha512-R+zTeVUKDdfoRxpAryaQNRKk3105Rrgx2CFRClIgRGaqDTdjsm8h6IYA8ir584W3ePzkZfst5xIgDwYrlh9HLg== + dependencies: + "@types/lodash" "*" + +"@types/lodash@*", "@types/lodash@^4.14.181": + version "4.14.181" + resolved "https://registry.npmmirror.com/@types/lodash/-/lodash-4.14.181.tgz" + integrity sha512-n3tyKthHJbkiWhDZs3DkhkCzt2MexYHXlX0td5iMplyfwketaOeKboEVBqzceH7juqvEg3q5oUoBFxSLu7zFag== + +"@vitejs/plugin-vue@^2.3.0": + version "2.3.1" + resolved "https://registry.npmmirror.com/@vitejs/plugin-vue/-/plugin-vue-2.3.1.tgz" + integrity sha512-YNzBt8+jt6bSwpt7LP890U1UcTOIZZxfpE5WOJ638PNxSEKOqAi0+FSKS0nVeukfdZ0Ai/H7AFd6k3hayfGZqQ== + +"@vue/compiler-core@3.2.32": + version "3.2.32" + resolved "https://registry.npmmirror.com/@vue/compiler-core/-/compiler-core-3.2.32.tgz" + integrity sha512-bRQ8Rkpm/aYFElDWtKkTPHeLnX5pEkNxhPUcqu5crEJIilZH0yeFu/qUAcV4VfSE2AudNPkQSOwMZofhnuutmA== + dependencies: + "@babel/parser" "^7.16.4" + "@vue/shared" "3.2.32" + estree-walker "^2.0.2" + source-map "^0.6.1" + +"@vue/compiler-dom@3.2.32": + version "3.2.32" + resolved "https://registry.npmmirror.com/@vue/compiler-dom/-/compiler-dom-3.2.32.tgz" + integrity sha512-maa3PNB/NxR17h2hDQfcmS02o1f9r9QIpN1y6fe8tWPrS1E4+q8MqrvDDQNhYVPd84rc3ybtyumrgm9D5Rf/kg== + dependencies: + "@vue/compiler-core" "3.2.32" + "@vue/shared" "3.2.32" + +"@vue/compiler-sfc@3.2.32": + version "3.2.32" + resolved "https://registry.npmmirror.com/@vue/compiler-sfc/-/compiler-sfc-3.2.32.tgz" + integrity sha512-uO6+Gh3AVdWm72lRRCjMr8nMOEqc6ezT9lWs5dPzh1E9TNaJkMYPaRtdY9flUv/fyVQotkfjY/ponjfR+trPSg== + dependencies: + "@babel/parser" "^7.16.4" + "@vue/compiler-core" "3.2.32" + "@vue/compiler-dom" "3.2.32" + "@vue/compiler-ssr" "3.2.32" + "@vue/reactivity-transform" "3.2.32" + "@vue/shared" "3.2.32" + estree-walker "^2.0.2" + magic-string "^0.25.7" + postcss "^8.1.10" + source-map "^0.6.1" + +"@vue/compiler-ssr@3.2.32": + version "3.2.32" + resolved "https://registry.npmmirror.com/@vue/compiler-ssr/-/compiler-ssr-3.2.32.tgz" + integrity sha512-ZklVUF/SgTx6yrDUkaTaBL/JMVOtSocP+z5Xz/qIqqLdW/hWL90P+ob/jOQ0Xc/om57892Q7sRSrex0wujOL2Q== + dependencies: + "@vue/compiler-dom" "3.2.32" + "@vue/shared" "3.2.32" + +"@vue/reactivity-transform@3.2.32": + version "3.2.32" + resolved "https://registry.npmmirror.com/@vue/reactivity-transform/-/reactivity-transform-3.2.32.tgz" + integrity sha512-CW1W9zaJtE275tZSWIfQKiPG0iHpdtSlmTqYBu7Y62qvtMgKG5yOxtvBs4RlrZHlaqFSE26avLAgQiTp4YHozw== + dependencies: + "@babel/parser" "^7.16.4" + "@vue/compiler-core" "3.2.32" + "@vue/shared" "3.2.32" + estree-walker "^2.0.2" + magic-string "^0.25.7" + +"@vue/reactivity@3.2.32": + version "3.2.32" + resolved "https://registry.npmmirror.com/@vue/reactivity/-/reactivity-3.2.32.tgz" + integrity sha512-4zaDumuyDqkuhbb63hRd+YHFGopW7srFIWesLUQ2su/rJfWrSq3YUvoKAJE8Eu1EhZ2Q4c1NuwnEreKj1FkDxA== + dependencies: + "@vue/shared" "3.2.32" + +"@vue/runtime-core@3.2.32": + version "3.2.32" + resolved "https://registry.npmmirror.com/@vue/runtime-core/-/runtime-core-3.2.32.tgz" + integrity sha512-uKKzK6LaCnbCJ7rcHvsK0azHLGpqs+Vi9B28CV1mfWVq1F3Bj8Okk3cX+5DtD06aUh4V2bYhS2UjjWiUUKUF0w== + dependencies: + "@vue/reactivity" "3.2.32" + "@vue/shared" "3.2.32" + +"@vue/runtime-dom@3.2.32": + version "3.2.32" + resolved "https://registry.npmmirror.com/@vue/runtime-dom/-/runtime-dom-3.2.32.tgz" + integrity sha512-AmlIg+GPqjkNoADLjHojEX5RGcAg+TsgXOOcUrtDHwKvA8mO26EnLQLB8nylDjU6AMJh2CIYn8NEgyOV5ZIScQ== + dependencies: + "@vue/runtime-core" "3.2.32" + "@vue/shared" "3.2.32" + csstype "^2.6.8" + +"@vue/server-renderer@3.2.32": + version "3.2.32" + resolved "https://registry.npmmirror.com/@vue/server-renderer/-/server-renderer-3.2.32.tgz" + integrity sha512-TYKpZZfRJpGTTiy/s6bVYwQJpAUx3G03z4G7/3O18M11oacrMTVHaHjiPuPqf3xQtY8R4LKmQ3EOT/DRCA/7Wg== + dependencies: + "@vue/compiler-ssr" "3.2.32" + "@vue/shared" "3.2.32" + +"@vue/shared@3.2.32": + version "3.2.32" + resolved "https://registry.npmmirror.com/@vue/shared/-/shared-3.2.32.tgz" + integrity sha512-bjcixPErUsAnTQRQX4Z5IQnICYjIfNCyCl8p29v1M6kfVzvwOICPw+dz48nNuWlTOOx2RHhzHdazJibE8GSnsw== + +"@vueuse/core@^8.2.4": + version "8.2.5" + resolved "https://registry.npmmirror.com/@vueuse/core/-/core-8.2.5.tgz" + integrity sha512-5prZAA1Ji2ltwNUnzreu6WIXYqHYP/9U2BiY5mD/650VYLpVcwVlYznJDFcLCmEWI3o3Vd34oS1FUf+6Mh68GQ== + dependencies: + "@vueuse/metadata" "8.2.5" + "@vueuse/shared" "8.2.5" + vue-demi "*" + +"@vueuse/metadata@8.2.5": + version "8.2.5" + resolved "https://registry.npmmirror.com/@vueuse/metadata/-/metadata-8.2.5.tgz" + integrity sha512-Lk9plJjh9cIdiRdcj16dau+2LANxIdFCiTgdfzwYXbflxq0QnMBeOD2qHgKDE7fuVrtPcVWj8VSuZEx1HRfNQA== + +"@vueuse/shared@8.2.5": + version "8.2.5" + resolved "https://registry.npmmirror.com/@vueuse/shared/-/shared-8.2.5.tgz" + integrity sha512-lNWo+7sk6JCuOj4AiYM+6HZ6fq4xAuVq1sVckMQKgfCJZpZRe4i8es+ZULO5bYTKP+VrOCtqrLR2GzEfrbr3YQ== + dependencies: + vue-demi "*" + +ant-design-vue@^2.2.8: + version "2.2.8" + resolved "https://registry.npmmirror.com/ant-design-vue/-/ant-design-vue-2.2.8.tgz" + integrity sha512-3graq9/gCfJQs6hznrHV6sa9oDmk/D1H3Oo0vLdVpPS/I61fZPk8NEyNKCHpNA6fT2cx6xx9U3QS63uuyikg/Q== + dependencies: + "@ant-design/icons-vue" "^6.0.0" + "@babel/runtime" "^7.10.5" + "@simonwep/pickr" "~1.8.0" + array-tree-filter "^2.1.0" + async-validator "^3.3.0" + dom-align "^1.12.1" + dom-scroll-into-view "^2.0.0" + lodash "^4.17.21" + lodash-es "^4.17.15" + moment "^2.27.0" + omit.js "^2.0.0" + resize-observer-polyfill "^1.5.1" + scroll-into-view-if-needed "^2.2.25" + shallow-equal "^1.0.0" + vue-types "^3.0.0" + warning "^4.0.0" + +array-tree-filter@^2.1.0: + version "2.1.0" + resolved "https://registry.npmmirror.com/array-tree-filter/-/array-tree-filter-2.1.0.tgz" + integrity sha512-4ROwICNlNw/Hqa9v+rk5h22KjmzB1JGTMVKP2AKJBOCgb0yL0ASf0+YvCcLNNwquOHNX48jkeZIJ3a+oOQqKcw== + +async-validator@^3.3.0: + version "3.5.2" + resolved "https://registry.npmmirror.com/async-validator/-/async-validator-3.5.2.tgz" + integrity sha512-8eLCg00W9pIRZSB781UUX/H6Oskmm8xloZfr09lz5bikRpBVDlJ3hRVuxxP1SxcwsEYfJ4IU8Q19Y8/893r3rQ== + +async-validator@^4.0.7: + version "4.0.7" + resolved "https://registry.npmmirror.com/async-validator/-/async-validator-4.0.7.tgz" + integrity sha512-Pj2IR7u8hmUEDOwB++su6baaRi+QvsgajuFB9j95foM1N2gy5HM4z60hfusIO0fBPG5uLAEl6yCJr1jNSVugEQ== + +axios@^0.26.1: + version "0.26.1" + resolved "https://registry.npmmirror.com/axios/-/axios-0.26.1.tgz" + integrity sha512-fPwcX4EvnSHuInCMItEhAGnaSEXRBjtzh9fOtsE6E1G6p7vl7edEeZe11QHf18+6+9gR5PbKV/sGKNaD8YaMeA== + dependencies: + follow-redirects "^1.14.8" + +compute-scroll-into-view@^1.0.17: + version "1.0.17" + resolved "https://registry.npmmirror.com/compute-scroll-into-view/-/compute-scroll-into-view-1.0.17.tgz" + integrity sha512-j4dx+Fb0URmzbwwMUrhqWM2BEWHdFGx+qZ9qqASHRPqvTYdqvWnHg0H1hIbcyLnvgnoNAVMlwkepyqM3DaIFUg== + +copy-anything@^2.0.1: + version "2.0.6" + resolved "https://registry.npmmirror.com/copy-anything/-/copy-anything-2.0.6.tgz" + integrity sha512-1j20GZTsvKNkc4BY3NpMOM8tt///wY3FpIzozTOFO2ffuZcV61nojHXVKIy3WM+7ADCy5FVhdZYHYDdgTU0yJw== + dependencies: + is-what "^3.14.1" + +core-js@^3.15.1: + version "3.22.5" + resolved "https://registry.npmmirror.com/core-js/-/core-js-3.22.5.tgz" + integrity sha512-VP/xYuvJ0MJWRAobcmQ8F2H6Bsn+s7zqAAjFaHGBMc5AQm7zaelhD1LGduFn2EehEcQcU+br6t+fwbpQ5d1ZWA== + +csstype@^2.6.8: + version "2.6.20" + resolved "https://registry.npmmirror.com/csstype/-/csstype-2.6.20.tgz" + integrity sha512-/WwNkdXfckNgw6S5R125rrW8ez139lBHWouiBvX8dfMFtcn6V81REDqnH7+CRpRipfYlyU1CmOnOxrmGcFOjeA== + +dayjs@^1.11.0: + version "1.11.0" + resolved "https://registry.npmmirror.com/dayjs/-/dayjs-1.11.0.tgz" + integrity sha512-JLC809s6Y948/FuCZPm5IX8rRhQwOiyMb2TfVVQEixG7P8Lm/gt5S7yoQZmC8x1UehI9Pb7sksEt4xx14m+7Ug== + +debug@^3.2.6: + version "3.2.7" + resolved "https://registry.npmmirror.com/debug/-/debug-3.2.7.tgz" + integrity sha512-CFjzYYAi4ThfiQvizrFQevTTXHtnCqWfe7x1AhgEscTz6ZbLbfoLRLPugTQyBth6f8ZERVUSyWHFD/7Wu4t1XQ== + dependencies: + ms "^2.1.1" + +dom-align@^1.12.1: + version "1.12.3" + resolved "https://registry.npmmirror.com/dom-align/-/dom-align-1.12.3.tgz" + integrity sha512-Gj9hZN3a07cbR6zviMUBOMPdWxYhbMI+x+WS0NAIu2zFZmbK8ys9R79g+iG9qLnlCwpFoaB+fKy8Pdv470GsPA== + +dom-scroll-into-view@^2.0.0: + version "2.0.1" + resolved "https://registry.npmmirror.com/dom-scroll-into-view/-/dom-scroll-into-view-2.0.1.tgz" + integrity sha512-bvVTQe1lfaUr1oFzZX80ce9KLDlZ3iU+XGNE/bz9HnGdklTieqsbmsLHe+rT2XWqopvL0PckkYqN7ksmm5pe3w== + +element-plus@^2.1.9: + version "2.1.9" + resolved "https://registry.npmmirror.com/element-plus/-/element-plus-2.1.9.tgz" + integrity sha512-6mWqS3YrmJPnouWP4otzL8+MehfOnDFqDbcIdnmC07p+Z0JkWe/CVKc4Wky8AYC8nyDMUQyiZYvooCbqGuM7pg== + dependencies: + "@ctrl/tinycolor" "^3.4.0" + "@element-plus/icons-vue" "^1.1.4" + "@floating-ui/dom" "^0.4.2" + "@popperjs/core" "^2.11.4" + "@types/lodash" "^4.14.181" + "@types/lodash-es" "^4.17.6" + "@vueuse/core" "^8.2.4" + async-validator "^4.0.7" + dayjs "^1.11.0" + escape-html "^1.0.3" + lodash "^4.17.21" + lodash-es "^4.17.21" + lodash-unified "^1.0.2" + memoize-one "^6.0.0" + normalize-wheel-es "^1.1.2" + +errno@^0.1.1: + version "0.1.8" + resolved "https://registry.npmmirror.com/errno/-/errno-0.1.8.tgz" + integrity sha512-dJ6oBr5SQ1VSd9qkk7ByRgb/1SH4JZjCHSW/mr63/QcXO9zLVxvJ6Oy13nio03rxpSnVDDjFor75SjVeZWPW/A== + dependencies: + prr "~1.0.1" + +esbuild-android-64@0.14.36: + version "0.14.36" + resolved "https://registry.yarnpkg.com/esbuild-android-64/-/esbuild-android-64-0.14.36.tgz#fc5f95ce78c8c3d790fa16bc71bd904f2bb42aa1" + integrity sha512-jwpBhF1jmo0tVCYC/ORzVN+hyVcNZUWuozGcLHfod0RJCedTDTvR4nwlTXdx1gtncDqjk33itjO+27OZHbiavw== + +esbuild-android-arm64@0.14.36: + version "0.14.36" + resolved "https://registry.yarnpkg.com/esbuild-android-arm64/-/esbuild-android-arm64-0.14.36.tgz#44356fbb9f8de82a5cdf11849e011dfb3ad0a8a8" + integrity sha512-/hYkyFe7x7Yapmfv4X/tBmyKnggUmdQmlvZ8ZlBnV4+PjisrEhAvC3yWpURuD9XoB8Wa1d5dGkTsF53pIvpjsg== + +esbuild-darwin-64@0.14.36: + version "0.14.36" + resolved "https://registry.npmmirror.com/esbuild-darwin-64/-/esbuild-darwin-64-0.14.36.tgz" + integrity sha512-kkl6qmV0dTpyIMKagluzYqlc1vO0ecgpviK/7jwPbRDEv5fejRTaBBEE2KxEQbTHcLhiiDbhG7d5UybZWo/1zQ== + +esbuild-darwin-arm64@0.14.36: + version "0.14.36" + resolved "https://registry.yarnpkg.com/esbuild-darwin-arm64/-/esbuild-darwin-arm64-0.14.36.tgz#2a8040c2e465131e5281034f3c72405e643cb7b2" + integrity sha512-q8fY4r2Sx6P0Pr3VUm//eFYKVk07C5MHcEinU1BjyFnuYz4IxR/03uBbDwluR6ILIHnZTE7AkTUWIdidRi1Jjw== + +esbuild-freebsd-64@0.14.36: + version "0.14.36" + resolved "https://registry.yarnpkg.com/esbuild-freebsd-64/-/esbuild-freebsd-64-0.14.36.tgz#d82c387b4d01fe9e8631f97d41eb54f2dbeb68a3" + integrity sha512-Hn8AYuxXXRptybPqoMkga4HRFE7/XmhtlQjXFHoAIhKUPPMeJH35GYEUWGbjteai9FLFvBAjEAlwEtSGxnqWww== + +esbuild-freebsd-arm64@0.14.36: + version "0.14.36" + resolved "https://registry.yarnpkg.com/esbuild-freebsd-arm64/-/esbuild-freebsd-arm64-0.14.36.tgz#e8ce2e6c697da6c7ecd0cc0ac821d47c5ab68529" + integrity sha512-S3C0attylLLRiCcHiJd036eDEMOY32+h8P+jJ3kTcfhJANNjP0TNBNL30TZmEdOSx/820HJFgRrqpNAvTbjnDA== + +esbuild-linux-32@0.14.36: + version "0.14.36" + resolved "https://registry.yarnpkg.com/esbuild-linux-32/-/esbuild-linux-32-0.14.36.tgz#a4a261e2af91986ea62451f2db712a556cb38a15" + integrity sha512-Eh9OkyTrEZn9WGO4xkI3OPPpUX7p/3QYvdG0lL4rfr73Ap2HAr6D9lP59VMF64Ex01LhHSXwIsFG/8AQjh6eNw== + +esbuild-linux-64@0.14.36: + version "0.14.36" + resolved "https://registry.yarnpkg.com/esbuild-linux-64/-/esbuild-linux-64-0.14.36.tgz#4a9500f9197e2c8fcb884a511d2c9d4c2debde72" + integrity sha512-vFVFS5ve7PuwlfgoWNyRccGDi2QTNkQo/2k5U5ttVD0jRFaMlc8UQee708fOZA6zTCDy5RWsT5MJw3sl2X6KDg== + +esbuild-linux-arm64@0.14.36: + version "0.14.36" + resolved "https://registry.yarnpkg.com/esbuild-linux-arm64/-/esbuild-linux-arm64-0.14.36.tgz#c91c21e25b315464bd7da867365dd1dae14ca176" + integrity sha512-24Vq1M7FdpSmaTYuu1w0Hdhiqkbto1I5Pjyi+4Cdw5fJKGlwQuw+hWynTcRI/cOZxBcBpP21gND7W27gHAiftw== + +esbuild-linux-arm@0.14.36: + version "0.14.36" + resolved "https://registry.yarnpkg.com/esbuild-linux-arm/-/esbuild-linux-arm-0.14.36.tgz#90e23bca2e6e549affbbe994f80ba3bb6c4d934a" + integrity sha512-NhgU4n+NCsYgt7Hy61PCquEz5aevI6VjQvxwBxtxrooXsxt5b2xtOUXYZe04JxqQo+XZk3d1gcr7pbV9MAQ/Lg== + +esbuild-linux-mips64le@0.14.36: + version "0.14.36" + resolved "https://registry.yarnpkg.com/esbuild-linux-mips64le/-/esbuild-linux-mips64le-0.14.36.tgz#40e11afb08353ff24709fc89e4db0f866bc131d2" + integrity sha512-hZUeTXvppJN+5rEz2EjsOFM9F1bZt7/d2FUM1lmQo//rXh1RTFYzhC0txn7WV0/jCC7SvrGRaRz0NMsRPf8SIA== + +esbuild-linux-ppc64le@0.14.36: + version "0.14.36" + resolved "https://registry.yarnpkg.com/esbuild-linux-ppc64le/-/esbuild-linux-ppc64le-0.14.36.tgz#9e8a588c513d06cc3859f9dcc52e5fdfce8a1a5e" + integrity sha512-1Bg3QgzZjO+QtPhP9VeIBhAduHEc2kzU43MzBnMwpLSZ890azr4/A9Dganun8nsqD/1TBcqhId0z4mFDO8FAvg== + +esbuild-linux-riscv64@0.14.36: + version "0.14.36" + resolved "https://registry.yarnpkg.com/esbuild-linux-riscv64/-/esbuild-linux-riscv64-0.14.36.tgz#e578c09b23b3b97652e60e3692bfda628b541f06" + integrity sha512-dOE5pt3cOdqEhaufDRzNCHf5BSwxgygVak9UR7PH7KPVHwSTDAZHDoEjblxLqjJYpc5XaU9+gKJ9F8mp9r5I4A== + +esbuild-linux-s390x@0.14.36: + version "0.14.36" + resolved "https://registry.yarnpkg.com/esbuild-linux-s390x/-/esbuild-linux-s390x-0.14.36.tgz#3c9dab40d0d69932ffded0fd7317bb403626c9bc" + integrity sha512-g4FMdh//BBGTfVHjF6MO7Cz8gqRoDPzXWxRvWkJoGroKA18G9m0wddvPbEqcQf5Tbt2vSc1CIgag7cXwTmoTXg== + +esbuild-netbsd-64@0.14.36: + version "0.14.36" + resolved "https://registry.yarnpkg.com/esbuild-netbsd-64/-/esbuild-netbsd-64-0.14.36.tgz#e27847f6d506218291619b8c1e121ecd97628494" + integrity sha512-UB2bVImxkWk4vjnP62ehFNZ73lQY1xcnL5ZNYF3x0AG+j8HgdkNF05v67YJdCIuUJpBuTyCK8LORCYo9onSW+A== + +esbuild-openbsd-64@0.14.36: + version "0.14.36" + resolved "https://registry.yarnpkg.com/esbuild-openbsd-64/-/esbuild-openbsd-64-0.14.36.tgz#c94c04c557fae516872a586eae67423da6d2fabb" + integrity sha512-NvGB2Chf8GxuleXRGk8e9zD3aSdRO5kLt9coTQbCg7WMGXeX471sBgh4kSg8pjx0yTXRt0MlrUDnjVYnetyivg== + +esbuild-sunos-64@0.14.36: + version "0.14.36" + resolved "https://registry.yarnpkg.com/esbuild-sunos-64/-/esbuild-sunos-64-0.14.36.tgz#9b79febc0df65a30f1c9bd63047d1675511bf99d" + integrity sha512-VkUZS5ftTSjhRjuRLp+v78auMO3PZBXu6xl4ajomGenEm2/rGuWlhFSjB7YbBNErOchj51Jb2OK8lKAo8qdmsQ== + +esbuild-windows-32@0.14.36: + version "0.14.36" + resolved "https://registry.yarnpkg.com/esbuild-windows-32/-/esbuild-windows-32-0.14.36.tgz#910d11936c8d2122ffdd3275e5b28d8a4e1240ec" + integrity sha512-bIar+A6hdytJjZrDxfMBUSEHHLfx3ynoEZXx/39nxy86pX/w249WZm8Bm0dtOAByAf4Z6qV0LsnTIJHiIqbw0w== + +esbuild-windows-64@0.14.36: + version "0.14.36" + resolved "https://registry.yarnpkg.com/esbuild-windows-64/-/esbuild-windows-64-0.14.36.tgz#21b4ce8b42a4efc63f4b58ec617f1302448aad26" + integrity sha512-+p4MuRZekVChAeueT1Y9LGkxrT5x7YYJxYE8ZOTcEfeUUN43vktSn6hUNsvxzzATrSgq5QqRdllkVBxWZg7KqQ== + +esbuild-windows-arm64@0.14.36: + version "0.14.36" + resolved "https://registry.yarnpkg.com/esbuild-windows-arm64/-/esbuild-windows-arm64-0.14.36.tgz#ba21546fecb7297667d0052d00150de22c044b24" + integrity sha512-fBB4WlDqV1m18EF/aheGYQkQZHfPHiHJSBYzXIo8yKehek+0BtBwo/4PNwKGJ5T0YK0oc8pBKjgwPbzSrPLb+Q== + +esbuild@^0.14.27: + version "0.14.36" + resolved "https://registry.npmmirror.com/esbuild/-/esbuild-0.14.36.tgz" + integrity sha512-HhFHPiRXGYOCRlrhpiVDYKcFJRdO0sBElZ668M4lh2ER0YgnkLxECuFe7uWCf23FrcLc59Pqr7dHkTqmRPDHmw== + optionalDependencies: + esbuild-android-64 "0.14.36" + esbuild-android-arm64 "0.14.36" + esbuild-darwin-64 "0.14.36" + esbuild-darwin-arm64 "0.14.36" + esbuild-freebsd-64 "0.14.36" + esbuild-freebsd-arm64 "0.14.36" + esbuild-linux-32 "0.14.36" + esbuild-linux-64 "0.14.36" + esbuild-linux-arm "0.14.36" + esbuild-linux-arm64 "0.14.36" + esbuild-linux-mips64le "0.14.36" + esbuild-linux-ppc64le "0.14.36" + esbuild-linux-riscv64 "0.14.36" + esbuild-linux-s390x "0.14.36" + esbuild-netbsd-64 "0.14.36" + esbuild-openbsd-64 "0.14.36" + esbuild-sunos-64 "0.14.36" + esbuild-windows-32 "0.14.36" + esbuild-windows-64 "0.14.36" + esbuild-windows-arm64 "0.14.36" + +escape-html@^1.0.3: + version "1.0.3" + resolved "https://registry.npmmirror.com/escape-html/-/escape-html-1.0.3.tgz" + integrity sha512-NiSupZ4OeuGwr68lGIeym/ksIZMJodUGOSCZ/FSnTxcrekbvqrgdUxlJOMpijaKZVjAJrWrGs/6Jy8OMuyj9ow== + +estree-walker@^2.0.2: + version "2.0.2" + resolved "https://registry.npmmirror.com/estree-walker/-/estree-walker-2.0.2.tgz" + integrity sha512-Rfkk/Mp/DL7JVje3u18FxFujQlTNR2q6QfMSMB7AvCBx91NGj/ba3kCfza0f6dVDbw7YlRf/nDrn7pQrCCyQ/w== + +follow-redirects@^1.14.8: + version "1.14.9" + resolved "https://registry.npmmirror.com/follow-redirects/-/follow-redirects-1.14.9.tgz" + integrity sha512-MQDfihBQYMcyy5dhRDJUHcw7lb2Pv/TuE6xP1vyraLukNDHKbDxDNaOE3NbCAdKQApno+GPRyo1YAp89yCjK4w== + +fsevents@~2.3.2: + version "2.3.2" + resolved "https://registry.npmmirror.com/fsevents/-/fsevents-2.3.2.tgz" + integrity sha512-xiqMQR4xAeHTuB9uWm+fFRcIOgKBMiOBP+eXiyT7jsgVCq1bkVygt00oASowB7EdtpOHaaPgKt812P9ab+DDKA== + +function-bind@^1.1.1: + version "1.1.1" + resolved "https://registry.npmmirror.com/function-bind/-/function-bind-1.1.1.tgz" + integrity sha512-yIovAzMX49sF8Yl58fSCWJ5svSLuaibPxXQJFLmBObTuCr0Mf1KiPopGM9NiFjiYBCbfaa2Fh6breQ6ANVTI0A== + +graceful-fs@^4.1.2: + version "4.2.10" + resolved "https://registry.npmmirror.com/graceful-fs/-/graceful-fs-4.2.10.tgz" + integrity sha512-9ByhssR2fPVsNZj478qUUbKfmL0+t5BDVyjShtyZZLiK7ZDAArFFfopyOTj0M05wE2tJPisA4iTnnXl2YoPvOA== + +has@^1.0.3: + version "1.0.3" + resolved "https://registry.npmmirror.com/has/-/has-1.0.3.tgz" + integrity sha512-f2dvO0VU6Oej7RkWJGrehjbzMAjFp5/VKPp5tTpWIV4JHHZK1/BxbFRtf/siA2SWTe09caDmVtYYzWEIbBS4zw== + dependencies: + function-bind "^1.1.1" + +iconv-lite@^0.4.4: + version "0.4.24" + resolved "https://registry.npmmirror.com/iconv-lite/-/iconv-lite-0.4.24.tgz" + integrity sha512-v3MXnZAcvnywkTUEZomIActle7RXXeedOR31wwl7VlyoXO4Qi9arvSenNQWne1TcRwhCL1HwLI21bEqdpj8/rA== + dependencies: + safer-buffer ">= 2.1.2 < 3" + +image-size@~0.5.0: + version "0.5.5" + resolved "https://registry.npmmirror.com/image-size/-/image-size-0.5.5.tgz" + integrity sha512-6TDAlDPZxUFCv+fuOkIoXT/V/f3Qbq8e37p+YOiYrUv3v9cc3/6x78VdfPgFVaB9dZYeLUfKgHRebpkm/oP2VQ== + +is-core-module@^2.8.1: + version "2.8.1" + resolved "https://registry.npmmirror.com/is-core-module/-/is-core-module-2.8.1.tgz" + integrity sha512-SdNCUs284hr40hFTFP6l0IfZ/RSrMXF3qgoRHd3/79unUTvrFO/JoXwkGm+5J/Oe3E/b5GsnG330uUNgRpu1PA== + dependencies: + has "^1.0.3" + +is-plain-object@3.0.1: + version "3.0.1" + resolved "https://registry.npmmirror.com/is-plain-object/-/is-plain-object-3.0.1.tgz" + integrity sha512-Xnpx182SBMrr/aBik8y+GuR4U1L9FqMSojwDQwPMmxyC6bvEqly9UBCxhauBF5vNh2gwWJNX6oDV7O+OM4z34g== + +is-what@^3.14.1: + version "3.14.1" + resolved "https://registry.npmmirror.com/is-what/-/is-what-3.14.1.tgz" + integrity sha512-sNxgpk9793nzSs7bA6JQJGeIuRBQhAaNGG77kzYQgMkrID+lS6SlK07K5LaptscDlSaIgH+GPFzf+d75FVxozA== + +js-audio-recorder@0.5.7: + version "0.5.7" + resolved "https://registry.npmmirror.com/js-audio-recorder/-/js-audio-recorder-0.5.7.tgz" + integrity sha512-DIlv30N86AYHr7zGHN0O7V/3Rd8Q6SIJ/MBzVJaT9STWTdhF4E/8fxCX6ZMgRSv8xmx6fEqcFFNPoofmxJD4+A== + +"js-tokens@^3.0.0 || ^4.0.0": + version "4.0.0" + resolved "https://registry.npmmirror.com/js-tokens/-/js-tokens-4.0.0.tgz" + integrity sha512-RdJUflcE3cUzKiMqQgsCu06FPu9UdIJO0beYbPhHN4k6apgJtifcoCtT9bcxOpYBtpD2kCM6Sbzg4CausW/PKQ== + +lamejs@^1.2.1: + version "1.2.1" + resolved "https://registry.npmmirror.com/lamejs/-/lamejs-1.2.1.tgz" + integrity sha512-s7bxvjvYthw6oPLCm5pFxvA84wUROODB8jEO2+CE1adhKgrIvVOlmMgY8zyugxGrvRaDHNJanOiS21/emty6dQ== + dependencies: + use-strict "1.0.1" + +less@^4.1.2: + version "4.1.2" + resolved "https://registry.npmmirror.com/less/-/less-4.1.2.tgz" + integrity sha512-EoQp/Et7OSOVu0aJknJOtlXZsnr8XE8KwuzTHOLeVSEx8pVWUICc8Q0VYRHgzyjX78nMEyC/oztWFbgyhtNfDA== + dependencies: + copy-anything "^2.0.1" + parse-node-version "^1.0.1" + tslib "^2.3.0" + optionalDependencies: + errno "^0.1.1" + graceful-fs "^4.1.2" + image-size "~0.5.0" + make-dir "^2.1.0" + mime "^1.4.1" + needle "^2.5.2" + source-map "~0.6.0" + +lodash-es@^4.17.15, lodash-es@^4.17.21: + version "4.17.21" + resolved "https://registry.npmmirror.com/lodash-es/-/lodash-es-4.17.21.tgz" + integrity sha512-mKnC+QJ9pWVzv+C4/U3rRsHapFfHvQFoFB92e52xeyGMcX6/OlIl78je1u8vePzYZSkkogMPJ2yjxxsb89cxyw== + +lodash-unified@^1.0.2: + version "1.0.2" + resolved "https://registry.npmmirror.com/lodash-unified/-/lodash-unified-1.0.2.tgz" + integrity sha512-OGbEy+1P+UT26CYi4opY4gebD8cWRDxAT6MAObIVQMiqYdxZr1g3QHWCToVsm31x2NkLS4K3+MC2qInaRMa39g== + +lodash@^4.17.21: + version "4.17.21" + resolved "https://registry.npmmirror.com/lodash/-/lodash-4.17.21.tgz" + integrity sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg== + +loose-envify@^1.0.0: + version "1.4.0" + resolved "https://registry.npmmirror.com/loose-envify/-/loose-envify-1.4.0.tgz" + integrity sha512-lyuxPGr/Wfhrlem2CL/UcnUc1zcqKAImBDzukY7Y5F/yQiNdko6+fRLevlw1HgMySw7f611UIY408EtxRSoK3Q== + dependencies: + js-tokens "^3.0.0 || ^4.0.0" + +magic-string@^0.25.7: + version "0.25.9" + resolved "https://registry.npmmirror.com/magic-string/-/magic-string-0.25.9.tgz" + integrity sha512-RmF0AsMzgt25qzqqLc1+MbHmhdx0ojF2Fvs4XnOqz2ZOBXzzkEwc/dJQZCYHAn7v1jbVOjAZfK8msRn4BxO4VQ== + dependencies: + sourcemap-codec "^1.4.8" + +make-dir@^2.1.0: + version "2.1.0" + resolved "https://registry.npmmirror.com/make-dir/-/make-dir-2.1.0.tgz" + integrity sha512-LS9X+dc8KLxXCb8dni79fLIIUA5VyZoyjSMCwTluaXA0o27cCK0bhXkpgw+sTXVpPy/lSO57ilRixqk0vDmtRA== + dependencies: + pify "^4.0.1" + semver "^5.6.0" + +memoize-one@^6.0.0: + version "6.0.0" + resolved "https://registry.npmmirror.com/memoize-one/-/memoize-one-6.0.0.tgz" + integrity sha512-rkpe71W0N0c0Xz6QD0eJETuWAJGnJ9afsl1srmwPrI+yBCkge5EycXXbYRyvL29zZVUWQCY7InPRCv3GDXuZNw== + +mime@^1.4.1: + version "1.6.0" + resolved "https://registry.npmmirror.com/mime/-/mime-1.6.0.tgz" + integrity sha512-x0Vn8spI+wuJ1O6S7gnbaQg8Pxh4NNHb7KSINmEWKiPE4RKOplvijn+NkmYmmRgP68mc70j2EbeTFRsrswaQeg== + +moment@^2.27.0: + version "2.29.3" + resolved "https://registry.npmmirror.com/moment/-/moment-2.29.3.tgz" + integrity sha512-c6YRvhEo//6T2Jz/vVtYzqBzwvPT95JBQ+smCytzf7c50oMZRsR/a4w88aD34I+/QVSfnoAnSBFPJHItlOMJVw== + +ms@^2.1.1: + version "2.1.3" + resolved "https://registry.npmmirror.com/ms/-/ms-2.1.3.tgz" + integrity sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA== + +nanoid@^3.3.1: + version "3.3.2" + resolved "https://registry.npmmirror.com/nanoid/-/nanoid-3.3.2.tgz" + integrity sha512-CuHBogktKwpm5g2sRgv83jEy2ijFzBwMoYA60orPDR7ynsLijJDqgsi4RDGj3OJpy3Ieb+LYwiRmIOGyytgITA== + +nanopop@^2.1.0: + version "2.1.0" + resolved "https://registry.npmmirror.com/nanopop/-/nanopop-2.1.0.tgz" + integrity sha512-jGTwpFRexSH+fxappnGQtN9dspgE2ipa1aOjtR24igG0pv6JCxImIAmrLRHX+zUF5+1wtsFVbKyfP51kIGAVNw== + +needle@^2.5.2: + version "2.9.1" + resolved "https://registry.npmmirror.com/needle/-/needle-2.9.1.tgz" + integrity sha512-6R9fqJ5Zcmf+uYaFgdIHmLwNldn5HbK8L5ybn7Uz+ylX/rnOsSp1AHcvQSrCaFN+qNM1wpymHqD7mVasEOlHGQ== + dependencies: + debug "^3.2.6" + iconv-lite "^0.4.4" + sax "^1.2.4" + +normalize-wheel-es@^1.1.2: + version "1.1.2" + resolved "https://registry.npmmirror.com/normalize-wheel-es/-/normalize-wheel-es-1.1.2.tgz" + integrity sha512-scX83plWJXYH1J4+BhAuIHadROzxX0UBF3+HuZNY2Ks8BciE7tSTQ+5JhTsvzjaO0/EJdm4JBGrfObKxFf3Png== + +omit.js@^2.0.0: + version "2.0.2" + resolved "https://registry.npmmirror.com/omit.js/-/omit.js-2.0.2.tgz" + integrity sha512-hJmu9D+bNB40YpL9jYebQl4lsTW6yEHRTroJzNLqQJYHm7c+NQnJGfZmIWh8S3q3KoaxV1aLhV6B3+0N0/kyJg== + +parse-node-version@^1.0.1: + version "1.0.1" + resolved "https://registry.npmmirror.com/parse-node-version/-/parse-node-version-1.0.1.tgz" + integrity sha512-3YHlOa/JgH6Mnpr05jP9eDG254US9ek25LyIxZlDItp2iJtwyaXQb57lBYLdT3MowkUFYEV2XXNAYIPlESvJlA== + +path-parse@^1.0.7: + version "1.0.7" + resolved "https://registry.npmmirror.com/path-parse/-/path-parse-1.0.7.tgz" + integrity sha512-LDJzPVEEEPR+y48z93A0Ed0yXb8pAByGWo/k5YYdYgpY2/2EsOsksJrq7lOHxryrVOn1ejG6oAp8ahvOIQD8sw== + +picocolors@^1.0.0: + version "1.0.0" + resolved "https://registry.npmmirror.com/picocolors/-/picocolors-1.0.0.tgz" + integrity sha512-1fygroTLlHu66zi26VoTDv8yRgm0Fccecssto+MhsZ0D/DGW2sm8E8AjW7NU5VVTRt5GxbeZ5qBuJr+HyLYkjQ== + +pify@^4.0.1: + version "4.0.1" + resolved "https://registry.npmmirror.com/pify/-/pify-4.0.1.tgz" + integrity sha512-uB80kBFb/tfd68bVleG9T5GGsGPjJrLAUpR5PZIrhBnIaRTQRjqdJSsIKkOP6OAIFbj7GOrcudc5pNjZ+geV2g== + +postcss@^8.1.10, postcss@^8.4.12: + version "8.4.12" + resolved "https://registry.npmmirror.com/postcss/-/postcss-8.4.12.tgz" + integrity sha512-lg6eITwYe9v6Hr5CncVbK70SoioNQIq81nsaG86ev5hAidQvmOeETBqs7jm43K2F5/Ley3ytDtriImV6TpNiSg== + dependencies: + nanoid "^3.3.1" + picocolors "^1.0.0" + source-map-js "^1.0.2" + +prr@~1.0.1: + version "1.0.1" + resolved "https://registry.npmmirror.com/prr/-/prr-1.0.1.tgz" + integrity sha512-yPw4Sng1gWghHQWj0B3ZggWUm4qVbPwPFcRG8KyxiU7J2OHFSoEHKS+EZ3fv5l1t9CyCiop6l/ZYeWbrgoQejw== + +regenerator-runtime@^0.13.4: + version "0.13.9" + resolved "https://registry.npmmirror.com/regenerator-runtime/-/regenerator-runtime-0.13.9.tgz" + integrity sha512-p3VT+cOEgxFsRRA9X4lkI1E+k2/CtnKtU4gcxyaCUreilL/vqI6CdZ3wxVUx3UOUg+gnUOQQcRI7BmSI656MYA== + +resize-observer-polyfill@^1.5.1: + version "1.5.1" + resolved "https://registry.npmmirror.com/resize-observer-polyfill/-/resize-observer-polyfill-1.5.1.tgz" + integrity sha512-LwZrotdHOo12nQuZlHEmtuXdqGoOD0OhaxopaNFxWzInpEgaLWoVuAMbTzixuosCx2nEG58ngzW3vxdWoxIgdg== + +resolve@^1.22.0: + version "1.22.0" + resolved "https://registry.npmmirror.com/resolve/-/resolve-1.22.0.tgz" + integrity sha512-Hhtrw0nLeSrFQ7phPp4OOcVjLPIeMnRlr5mcnVuMe7M/7eBn98A3hmFRLoFo3DLZkivSYwhRUJTyPyWAk56WLw== + dependencies: + is-core-module "^2.8.1" + path-parse "^1.0.7" + supports-preserve-symlinks-flag "^1.0.0" + +rollup@^2.59.0: + version "2.70.1" + resolved "https://registry.npmmirror.com/rollup/-/rollup-2.70.1.tgz" + integrity sha512-CRYsI5EuzLbXdxC6RnYhOuRdtz4bhejPMSWjsFLfVM/7w/85n2szZv6yExqUXsBdz5KT8eoubeyDUDjhLHEslA== + optionalDependencies: + fsevents "~2.3.2" + +"safer-buffer@>= 2.1.2 < 3": + version "2.1.2" + resolved "https://registry.npmmirror.com/safer-buffer/-/safer-buffer-2.1.2.tgz" + integrity sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg== + +sax@^1.2.4: + version "1.2.4" + resolved "https://registry.npmmirror.com/sax/-/sax-1.2.4.tgz" + integrity sha512-NqVDv9TpANUjFm0N8uM5GxL36UgKi9/atZw+x7YFnQ8ckwFGKrl4xX4yWtrey3UJm5nP1kUbnYgLopqWNSRhWw== + +scroll-into-view-if-needed@^2.2.25: + version "2.2.29" + resolved "https://registry.npmmirror.com/scroll-into-view-if-needed/-/scroll-into-view-if-needed-2.2.29.tgz" + integrity sha512-hxpAR6AN+Gh53AdAimHM6C8oTN1ppwVZITihix+WqalywBeFcQ6LdQP5ABNl26nX8GTEL7VT+b8lKpdqq65wXg== + dependencies: + compute-scroll-into-view "^1.0.17" + +semver@^5.6.0: + version "5.7.1" + resolved "https://registry.npmmirror.com/semver/-/semver-5.7.1.tgz" + integrity sha512-sauaDf/PZdVgrLTNYHRtpXa1iRiKcaebiKQ1BJdpQlWH2lCvexQdX55snPFyK7QzpudqbCI0qXFfOasHdyNDGQ== + +shallow-equal@^1.0.0: + version "1.2.1" + resolved "https://registry.npmmirror.com/shallow-equal/-/shallow-equal-1.2.1.tgz" + integrity sha512-S4vJDjHHMBaiZuT9NPb616CSmLf618jawtv3sufLl6ivK8WocjAo58cXwbRV1cgqxH0Qbv+iUt6m05eqEa2IRA== + +source-map-js@^1.0.2: + version "1.0.2" + resolved "https://registry.npmmirror.com/source-map-js/-/source-map-js-1.0.2.tgz" + integrity sha512-R0XvVJ9WusLiqTCEiGCmICCMplcCkIwwR11mOSD9CR5u+IXYdiseeEuXCVAjS54zqwkLcPNnmU4OeJ6tUrWhDw== + +source-map@^0.6.1, source-map@~0.6.0: + version "0.6.1" + resolved "https://registry.npmmirror.com/source-map/-/source-map-0.6.1.tgz" + integrity sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g== + +sourcemap-codec@^1.4.8: + version "1.4.8" + resolved "https://registry.npmmirror.com/sourcemap-codec/-/sourcemap-codec-1.4.8.tgz" + integrity sha512-9NykojV5Uih4lgo5So5dtw+f0JgJX30KCNI8gwhz2J9A15wD0Ml6tjHKwf6fTSa6fAdVBdZeNOs9eJ71qCk8vA== + +supports-preserve-symlinks-flag@^1.0.0: + version "1.0.0" + resolved "https://registry.npmmirror.com/supports-preserve-symlinks-flag/-/supports-preserve-symlinks-flag-1.0.0.tgz" + integrity sha512-ot0WnXS9fgdkgIcePe6RHNk1WA8+muPa6cSjeR3V8K27q9BB1rTE3R1p7Hv0z1ZyAc8s6Vvv8DIyWf681MAt0w== + +tslib@^2.3.0: + version "2.4.0" + resolved "https://registry.npmmirror.com/tslib/-/tslib-2.4.0.tgz" + integrity sha512-d6xOpEDfsi2CZVlPQzGeux8XMwLT9hssAsaPYExaQMuYskwb+x1x7J371tWlbBdWHroy99KnVB6qIkUbs5X3UQ== + +use-strict@1.0.1: + version "1.0.1" + resolved "https://registry.npmmirror.com/use-strict/-/use-strict-1.0.1.tgz" + integrity sha512-IeiWvvEXfW5ltKVMkxq6FvNf2LojMKvB2OCeja6+ct24S1XOmQw2dGr2JyndwACWAGJva9B7yPHwAmeA9QCqAQ== + +vite@^2.9.0: + version "2.9.1" + resolved "https://registry.npmmirror.com/vite/-/vite-2.9.1.tgz" + integrity sha512-vSlsSdOYGcYEJfkQ/NeLXgnRv5zZfpAsdztkIrs7AZHV8RCMZQkwjo4DS5BnrYTqoWqLoUe1Cah4aVO4oNNqCQ== + dependencies: + esbuild "^0.14.27" + postcss "^8.4.12" + resolve "^1.22.0" + rollup "^2.59.0" + optionalDependencies: + fsevents "~2.3.2" + +vue-demi@*: + version "0.12.5" + resolved "https://registry.npmmirror.com/vue-demi/-/vue-demi-0.12.5.tgz" + integrity sha512-BREuTgTYlUr0zw0EZn3hnhC3I6gPWv+Kwh4MCih6QcAeaTlaIX0DwOVN0wHej7hSvDPecz4jygy/idsgKfW58Q== + +vue-types@^3.0.0: + version "3.0.2" + resolved "https://registry.npmmirror.com/vue-types/-/vue-types-3.0.2.tgz" + integrity sha512-IwUC0Aq2zwaXqy74h4WCvFCUtoV0iSWr0snWnE9TnU18S66GAQyqQbRf2qfJtUuiFsBf6qp0MEwdonlwznlcrw== + dependencies: + is-plain-object "3.0.1" + +vue@^3.2.25: + version "3.2.32" + resolved "https://registry.npmmirror.com/vue/-/vue-3.2.32.tgz" + integrity sha512-6L3jKZApF042OgbCkh+HcFeAkiYi3Lovi8wNhWqIK98Pi5efAMLZzRHgi91v+60oIRxdJsGS9sTMsb+yDpY8Eg== + dependencies: + "@vue/compiler-dom" "3.2.32" + "@vue/compiler-sfc" "3.2.32" + "@vue/runtime-dom" "3.2.32" + "@vue/server-renderer" "3.2.32" + "@vue/shared" "3.2.32" + +warning@^4.0.0: + version "4.0.3" + resolved "https://registry.npmmirror.com/warning/-/warning-4.0.3.tgz" + integrity sha512-rpJyN222KWIvHJ/F53XSZv0Zl/accqHR8et1kpaMTD/fLCRxtV8iX8czMzY7sVZupTI3zcUTg8eycS2kNF9l6w== + dependencies: + loose-envify "^1.0.0" diff --git a/demos/speech_web_demo/接口文档.md b/demos/speech_web_demo/接口文档.md new file mode 100644 index 000000000..a811a3f4e --- /dev/null +++ b/demos/speech_web_demo/接口文档.md @@ -0,0 +1,406 @@ +# 接口文档 + +开启服务后可参照： + +http://0.0.0.0:8010/docs + +## ASR + +### 【POST】/asr/offline + +说明：上传16k,16bit wav文件，返回 offline 语音识别模型识别结果 + +返回: JSON + +前端接口： ASR-端到端识别，音频文件识别；语音指令-录音上传 + +示例: + +```json +{ + "code": 0, + "result": "你也喜欢这个天气吗", + "message": "ok" +} +``` + +### 【POST】/asr/offlinefile + +说明：上传16k,16bit wav文件，返回 offline 语音识别模型识别结果 + wav数据的base64 + +返回: JSON + +前端接口： 音频文件识别(播放这段base64还原后记得添加wav头，采样率16k, int16，添加后才能播放) + +示例: + +```json +{ + "code": 0, + "result": { + "asr_result": "今天天气真好", + "wav_base64": "///+//3//f/8/////v/////////////////+/wAA//8AAAEAAQACAAIAAQABAP" + }, + "message": "ok" +} +``` + + +### 【POST】/asr/collectEnv + +说明： 通过采集环境噪音，上传16k, int16 wav文件，来生成后台VAD的能量阈值， 返回阈值结果 + +前端接口：ASR-环境采样 + +返回: JSON + +```json +{ + "code": 0, + "result": 3624.93505859375, + "message": "采集环境噪音成功" +} +``` + +### 【GET】/asr/stopRecord + +说明：通过 GET 请求 /asr/stopRecord, 后台停止接收 offlineStream 中通过 WS协议 上传的数据 + +前端接口：语音聊天-暂停录音（获取NLP，播放TTS时暂停） + +返回: JSON + +```JSON +{ + "code": 0, + "result": null, + "message": "停止成功" +} +``` + +### 【GET】/asr/resumeRecord + +说明：通过 GET 请求 /asr/resumeRecord, 后台停止接收 offlineStream 中通过 WS协议 上传的数据 + +前端接口：语音聊天-恢复录音（TTS播放完毕时，告诉后台恢复录音） + +返回: JSON + +```JSON +{ + "code": 0, + "result": null, + "message": "Online录音恢复" +} +``` + +### 【Websocket】/ws/asr/offlineStream + +说明：通过 WS 协议，将前端音频持续上传到后台，前端采集 16k，Int16 类型的PCM片段，持续上传到后端 + +前端接口：语音聊天-开始录音，持续将麦克风语音传给后端，后端推送语音识别结果 + +返回：后端返回识别结果，offline模型识别结果， 由WS推送 + + +### 【Websocket】/ws/asr/onlineStream + +说明：通过 WS 协议，将前端音频持续上传到后台，前端采集 16k，Int16 类型的PCM片段，持续上传到后端 + +前端接口：ASR-流式识别开始录音，持续将麦克风语音传给后端，后端推送语音识别结果 + +返回：后端返回识别结果，online模型识别结果， 由WS推送 + +## NLP + +### 【POST】/nlp/chat + +说明：返回闲聊对话的结果 + +前端接口：语音聊天-获取到ASR识别结果后，向后端获取闲聊文本 + +上传示例： + +```json +{ + "chat": "天气非常棒" +} +``` + +返回示例： + +```json +{ + "code": 0, + "result": "是的,我也挺喜欢的", + "message": "ok" +} +``` + + +### 【POST】/nlp/ie + +说明：返回信息抽取结果 + +前端接口：语音指令-向后端获取信息抽取结果 + +上传示例： + +```json +{ + "chat": "今天我从马来西亚出发去香港花了五十万元" +} +``` + +返回示例： + +```json +{ + "code": 0, + "result": [ + { + "时间": [ + { + "text": "今天", + "start": 0, + "end": 2, + "probability": 0.9817976247505698 + } + ], + "出发地": [ + { + "text": "马来西亚", + "start": 4, + "end": 8, + "probability": 0.974892389414169 + } + ], + "目的地": [ + { + "text": "马来西亚", + "start": 4, + "end": 8, + "probability": 0.7347504438136951 + } + ], + "费用": [ + { + "text": "五十万元", + "start": 15, + "end": 19, + "probability": 0.9679076530644402 + } + ] + } + ], + "message": "ok" +} +``` + + +## TTS + +### 【POST】/tts/offline + +说明：获取TTS离线模型音频 + +前端接口：TTS-端到端合成 + +上传示例： + +```json +{ + "text": "天气非常棒" +} +``` + +返回示例：对应音频对应的 base64 编码 + +```json +{ + "code": 0, + "result": "UklGRrzQAABXQVZFZm10IBAAAAABAAEAwF0AAIC7AAACABAAZGF0YZjQAAADAP7/BAADAAAA...", + "message": "ok" +} +``` + +### 【POST】/tts/online + +说明：流式获取语音合成音频 + +前端接口：流式合成 + +上传示例： +```json +{ + "text": "天气非常棒" +} + +``` + +返回示例： + +二进制PCM片段，16k Int 16类型 + +## VPR + +### 【POST】/vpr/enroll + +说明：声纹注册，通过表单上传 spk_id（字符串，非空）, 与 audio (文件) + +前端接口：声纹识别-声纹注册 + +上传示例： + +```text +curl -X 'POST' \ + 'http://0.0.0.0:8010/vpr/enroll' \ + -H 'accept: application/json' \ + -H 'Content-Type: multipart/form-data' \ + -F 'spk_id=啦啦啦啦' \ + -F 'audio=@demo_16k.wav;type=audio/wav' +``` + +返回示例： + +```json +{ + "status": true, + "msg": "Successfully enroll data!" +} +``` + +### 【POST】/vpr/recog + +说明：声纹识别，识别文件，提取文件的声纹信息做比对 音频 16k, int 16 wav格式 + +前端接口：声纹识别-上传音频，返回声纹识别结果 + +上传示例： + +```shell +curl -X 'POST' \ + 'http://0.0.0.0:8010/vpr/recog' \ + -H 'accept: application/json' \ + -H 'Content-Type: multipart/form-data' \ + -F 'audio=@demo_16k.wav;type=audio/wav' +``` + +返回示例： + +```json +[ + [ + "啦啦啦啦", + [ + "", + 100 + ] + ], + [ + "test1", + [ + "", + 11.64 + ] + ], + [ + "test2", + [ + "", + 6.09 + ] + ] +] + +``` + + +### 【POST】/vpr/del + +说明： 根据 spk_id 删除用户数据 + +前端接口：声纹识别-删除用户数据 + +上传示例： +```json +{ + "spk_id":"啦啦啦啦" +} +``` + +返回示例 + +```json +{ + "status": true, + "msg": "Successfully delete data!" +} + +``` + + +### 【GET】/vpr/list + +说明：查询用户列表数据，无需参数，返回 spk_id 与 vpr_id + +前端接口：声纹识别-获取声纹数据列表 + +返回示例： + +```json +[ + [ + "test1", + "test2" + ], + [ + 9, + 10 + ] +] + +``` + + +### 【GET】/vpr/data + +说明： 根据 vpr_id 获取用户vpr时使用的音频 + +前端接口：声纹识别-获取vpr对应的音频 + +访问示例： + +```shell +curl -X 'GET' \ + 'http://0.0.0.0:8010/vpr/data?vprId=9' \ + -H 'accept: application/json' +``` + +返回示例： + +对应音频文件 + +### 【GET】/vpr/database64 + +说明： 根据 vpr_id 获取用户vpr时注册使用音频转换成 16k, int16 类型的数组，返回base64编码 + +前端接口：声纹识别-获取vpr对应的音频（注意：播放时需要添加 wav头，16k,int16, 可参考tts播放时添加wav的方式，注意更改采样率） + +访问示例： + +```shell +curl -X 'GET' \ + 'http://localhost:8010/vpr/database64?vprId=12' \ + -H 'accept: application/json' +``` + +返回示例： +```json +{ + "code": 0, + "result":"AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA", + "message": "ok" +``` + + From 729fe6a09624ff75265f9909d6d048d96531221d Mon Sep 17 00:00:00 2001 From: iftaken Date: Thu, 16 Jun 2022 15:12:06 +0800 Subject: [PATCH 005/192] rename speech_web --- demos/{speech_web_demo => speech_web}/.gitignore | 0 demos/{speech_web_demo => speech_web}/README.MD | 0 .../speech_server/conf/tts_online_application.yaml | 0 ...ws_conformer_wenetspeech_application_faster.yaml | 0 .../speech_server/main.py | 0 .../speech_server/requirements.txt | 0 .../speech_server/src/AudioManeger.py | 0 .../speech_server/src/SpeechBase/asr.py | 0 .../speech_server/src/SpeechBase/nlp.py | 0 .../speech_server/src/SpeechBase/sql_helper.py | 0 .../speech_server/src/SpeechBase/tts.py | 0 .../speech_server/src/SpeechBase/vpr.py | 0 .../speech_server/src/SpeechBase/vpr_encode.py | 0 .../speech_server/src/WebsocketManeger.py | 0 .../speech_server/src/robot.py | 0 .../speech_server/src/util.py | 0 .../web_client/.gitignore | 0 .../web_client/README.md | 0 .../web_client/index.html | 0 .../web_client/package-lock.json | 0 .../web_client/package.json | 0 .../web_client/public/favicon.ico | Bin .../web_client/src/App.vue | 0 .../web_client/src/api/API.js | 0 .../web_client/src/api/ApiASR.js | 0 .../web_client/src/api/ApiNLP.js | 0 .../web_client/src/api/ApiTTS.js | 0 .../web_client/src/api/ApiVPR.js | 0 .../src/assets/image/ic_大-上传文件.svg | 0 .../src/assets/image/ic_大-声音波浪.svg | 0 .../web_client/src/assets/image/ic_大-语音.svg | 0 .../src/assets/image/ic_小-录制语音.svg | 0 .../web_client/src/assets/image/ic_小-结束.svg | 0 .../web_client/src/assets/image/ic_开始聊天.svg | 0 .../src/assets/image/ic_开始聊天_hover.svg | 0 .../src/assets/image/ic_播放（按钮）.svg | 0 .../src/assets/image/ic_暂停（按钮）.svg | 0 .../web_client/src/assets/image/ic_更换示例.svg | 0 .../src/assets/image/icon_小-声音波浪.svg | 0 .../assets/image/icon_录制声音小语音1.svg | 0 .../src/assets/image/在线体验-背景@2x.png | Bin .../web_client/src/assets/image/场景齐全@3x.png | Bin .../web_client/src/assets/image/教程丰富@3x.png | Bin .../web_client/src/assets/image/模型全面@3x.png | Bin .../src/assets/image/步骤-箭头切图@2x.png | Bin .../web_client/src/assets/image/用户头像@2x.png | Bin .../web_client/src/assets/image/飞桨头像@2x.png | Bin .../web_client/src/assets/logo.png | Bin .../src/components/Content/Header/Header.vue | 0 .../src/components/Content/Header/style.less | 0 .../web_client/src/components/Content/Tail/Tail.vue | 0 .../src/components/Content/Tail/style.less | 0 .../web_client/src/components/Experience.vue | 0 .../web_client/src/components/SubMenu/ASR/ASR.vue | 0 .../web_client/src/components/SubMenu/ASR/ASRT.vue | 0 .../ASR/AudioFile/AudioFileIdentification.vue | 0 .../src/components/SubMenu/ASR/AudioFile/style.less | 0 .../SubMenu/ASR/EndToEnd/EndToEndIdentification.vue | 0 .../src/components/SubMenu/ASR/EndToEnd/style.less | 0 .../components/SubMenu/ASR/RealTime/RealTime.vue | 0 .../src/components/SubMenu/ASR/RealTime/style.less | 0 .../src/components/SubMenu/ASR/style.less | 0 .../src/components/SubMenu/ChatBot/Chat.vue | 0 .../src/components/SubMenu/ChatBot/ChatT.vue | 0 .../src/components/SubMenu/ChatBot/style.less | 0 .../web_client/src/components/SubMenu/IE/IE.vue | 0 .../web_client/src/components/SubMenu/IE/IET.vue | 0 .../web_client/src/components/SubMenu/IE/style.less | 0 .../web_client/src/components/SubMenu/TTS/TTS.vue | 0 .../web_client/src/components/SubMenu/TTS/TTST.vue | 0 .../src/components/SubMenu/TTS/style.less | 0 .../web_client/src/components/SubMenu/VPR/VPR.vue | 0 .../web_client/src/components/SubMenu/VPR/VPRT.vue | 0 .../src/components/SubMenu/VPR/style.less | 0 .../web_client/src/components/style.less | 0 .../web_client/src/main.js | 0 .../web_client/vite.config.js | 0 .../web_client/yarn.lock | 0 .../{speech_web_demo => speech_web}/接口文档.md | 0 79 files changed, 0 insertions(+), 0 deletions(-) rename demos/{speech_web_demo => speech_web}/.gitignore (100%) rename demos/{speech_web_demo => speech_web}/README.MD (100%) rename demos/{speech_web_demo => speech_web}/speech_server/conf/tts_online_application.yaml (100%) rename demos/{speech_web_demo => speech_web}/speech_server/conf/ws_conformer_wenetspeech_application_faster.yaml (100%) rename demos/{speech_web_demo => speech_web}/speech_server/main.py (100%) rename demos/{speech_web_demo => speech_web}/speech_server/requirements.txt (100%) rename demos/{speech_web_demo => speech_web}/speech_server/src/AudioManeger.py (100%) rename demos/{speech_web_demo => speech_web}/speech_server/src/SpeechBase/asr.py (100%) rename demos/{speech_web_demo => speech_web}/speech_server/src/SpeechBase/nlp.py (100%) rename demos/{speech_web_demo => speech_web}/speech_server/src/SpeechBase/sql_helper.py (100%) rename demos/{speech_web_demo => speech_web}/speech_server/src/SpeechBase/tts.py (100%) rename demos/{speech_web_demo => speech_web}/speech_server/src/SpeechBase/vpr.py (100%) rename demos/{speech_web_demo => speech_web}/speech_server/src/SpeechBase/vpr_encode.py (100%) rename demos/{speech_web_demo => speech_web}/speech_server/src/WebsocketManeger.py (100%) rename demos/{speech_web_demo => speech_web}/speech_server/src/robot.py (100%) rename demos/{speech_web_demo => speech_web}/speech_server/src/util.py (100%) rename demos/{speech_web_demo => speech_web}/web_client/.gitignore (100%) rename demos/{speech_web_demo => speech_web}/web_client/README.md (100%) rename demos/{speech_web_demo => speech_web}/web_client/index.html (100%) rename demos/{speech_web_demo => speech_web}/web_client/package-lock.json (100%) rename demos/{speech_web_demo => speech_web}/web_client/package.json (100%) rename demos/{speech_web_demo => speech_web}/web_client/public/favicon.ico (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/App.vue (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/api/API.js (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/api/ApiASR.js (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/api/ApiNLP.js (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/api/ApiTTS.js (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/api/ApiVPR.js (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/assets/image/ic_大-上传文件.svg (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/assets/image/ic_大-声音波浪.svg (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/assets/image/ic_大-语音.svg (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/assets/image/ic_小-录制语音.svg (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/assets/image/ic_小-结束.svg (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/assets/image/ic_开始聊天.svg (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/assets/image/ic_开始聊天_hover.svg (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/assets/image/ic_播放（按钮）.svg (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/assets/image/ic_暂停（按钮）.svg (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/assets/image/ic_更换示例.svg (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/assets/image/icon_小-声音波浪.svg (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/assets/image/icon_录制声音小语音1.svg (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/assets/image/在线体验-背景@2x.png (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/assets/image/场景齐全@3x.png (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/assets/image/教程丰富@3x.png (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/assets/image/模型全面@3x.png (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/assets/image/步骤-箭头切图@2x.png (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/assets/image/用户头像@2x.png (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/assets/image/飞桨头像@2x.png (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/assets/logo.png (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/Content/Header/Header.vue (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/Content/Header/style.less (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/Content/Tail/Tail.vue (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/Content/Tail/style.less (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/Experience.vue (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/SubMenu/ASR/ASR.vue (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/SubMenu/ASR/ASRT.vue (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/SubMenu/ASR/AudioFile/AudioFileIdentification.vue (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/SubMenu/ASR/AudioFile/style.less (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/SubMenu/ASR/EndToEnd/EndToEndIdentification.vue (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/SubMenu/ASR/EndToEnd/style.less (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/SubMenu/ASR/RealTime/RealTime.vue (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/SubMenu/ASR/RealTime/style.less (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/SubMenu/ASR/style.less (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/SubMenu/ChatBot/Chat.vue (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/SubMenu/ChatBot/ChatT.vue (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/SubMenu/ChatBot/style.less (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/SubMenu/IE/IE.vue (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/SubMenu/IE/IET.vue (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/SubMenu/IE/style.less (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/SubMenu/TTS/TTS.vue (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/SubMenu/TTS/TTST.vue (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/SubMenu/TTS/style.less (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/SubMenu/VPR/VPR.vue (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/SubMenu/VPR/VPRT.vue (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/SubMenu/VPR/style.less (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/components/style.less (100%) rename demos/{speech_web_demo => speech_web}/web_client/src/main.js (100%) rename demos/{speech_web_demo => speech_web}/web_client/vite.config.js (100%) rename demos/{speech_web_demo => speech_web}/web_client/yarn.lock (100%) rename demos/{speech_web_demo => speech_web}/接口文档.md (100%) diff --git a/demos/speech_web_demo/.gitignore b/demos/speech_web/.gitignore similarity index 100% rename from demos/speech_web_demo/.gitignore rename to demos/speech_web/.gitignore diff --git a/demos/speech_web_demo/README.MD b/demos/speech_web/README.MD similarity index 100% rename from demos/speech_web_demo/README.MD rename to demos/speech_web/README.MD diff --git a/demos/speech_web_demo/speech_server/conf/tts_online_application.yaml b/demos/speech_web/speech_server/conf/tts_online_application.yaml similarity index 100% rename from demos/speech_web_demo/speech_server/conf/tts_online_application.yaml rename to demos/speech_web/speech_server/conf/tts_online_application.yaml diff --git a/demos/speech_web_demo/speech_server/conf/ws_conformer_wenetspeech_application_faster.yaml b/demos/speech_web/speech_server/conf/ws_conformer_wenetspeech_application_faster.yaml similarity index 100% rename from demos/speech_web_demo/speech_server/conf/ws_conformer_wenetspeech_application_faster.yaml rename to demos/speech_web/speech_server/conf/ws_conformer_wenetspeech_application_faster.yaml diff --git a/demos/speech_web_demo/speech_server/main.py b/demos/speech_web/speech_server/main.py similarity index 100% rename from demos/speech_web_demo/speech_server/main.py rename to demos/speech_web/speech_server/main.py diff --git a/demos/speech_web_demo/speech_server/requirements.txt b/demos/speech_web/speech_server/requirements.txt similarity index 100% rename from demos/speech_web_demo/speech_server/requirements.txt rename to demos/speech_web/speech_server/requirements.txt diff --git a/demos/speech_web_demo/speech_server/src/AudioManeger.py b/demos/speech_web/speech_server/src/AudioManeger.py similarity index 100% rename from demos/speech_web_demo/speech_server/src/AudioManeger.py rename to demos/speech_web/speech_server/src/AudioManeger.py diff --git a/demos/speech_web_demo/speech_server/src/SpeechBase/asr.py b/demos/speech_web/speech_server/src/SpeechBase/asr.py similarity index 100% rename from demos/speech_web_demo/speech_server/src/SpeechBase/asr.py rename to demos/speech_web/speech_server/src/SpeechBase/asr.py diff --git a/demos/speech_web_demo/speech_server/src/SpeechBase/nlp.py b/demos/speech_web/speech_server/src/SpeechBase/nlp.py similarity index 100% rename from demos/speech_web_demo/speech_server/src/SpeechBase/nlp.py rename to demos/speech_web/speech_server/src/SpeechBase/nlp.py diff --git a/demos/speech_web_demo/speech_server/src/SpeechBase/sql_helper.py b/demos/speech_web/speech_server/src/SpeechBase/sql_helper.py similarity index 100% rename from demos/speech_web_demo/speech_server/src/SpeechBase/sql_helper.py rename to demos/speech_web/speech_server/src/SpeechBase/sql_helper.py diff --git a/demos/speech_web_demo/speech_server/src/SpeechBase/tts.py b/demos/speech_web/speech_server/src/SpeechBase/tts.py similarity index 100% rename from demos/speech_web_demo/speech_server/src/SpeechBase/tts.py rename to demos/speech_web/speech_server/src/SpeechBase/tts.py diff --git a/demos/speech_web_demo/speech_server/src/SpeechBase/vpr.py b/demos/speech_web/speech_server/src/SpeechBase/vpr.py similarity index 100% rename from demos/speech_web_demo/speech_server/src/SpeechBase/vpr.py rename to demos/speech_web/speech_server/src/SpeechBase/vpr.py diff --git a/demos/speech_web_demo/speech_server/src/SpeechBase/vpr_encode.py b/demos/speech_web/speech_server/src/SpeechBase/vpr_encode.py similarity index 100% rename from demos/speech_web_demo/speech_server/src/SpeechBase/vpr_encode.py rename to demos/speech_web/speech_server/src/SpeechBase/vpr_encode.py diff --git a/demos/speech_web_demo/speech_server/src/WebsocketManeger.py b/demos/speech_web/speech_server/src/WebsocketManeger.py similarity index 100% rename from demos/speech_web_demo/speech_server/src/WebsocketManeger.py rename to demos/speech_web/speech_server/src/WebsocketManeger.py diff --git a/demos/speech_web_demo/speech_server/src/robot.py b/demos/speech_web/speech_server/src/robot.py similarity index 100% rename from demos/speech_web_demo/speech_server/src/robot.py rename to demos/speech_web/speech_server/src/robot.py diff --git a/demos/speech_web_demo/speech_server/src/util.py b/demos/speech_web/speech_server/src/util.py similarity index 100% rename from demos/speech_web_demo/speech_server/src/util.py rename to demos/speech_web/speech_server/src/util.py diff --git a/demos/speech_web_demo/web_client/.gitignore b/demos/speech_web/web_client/.gitignore similarity index 100% rename from demos/speech_web_demo/web_client/.gitignore rename to demos/speech_web/web_client/.gitignore diff --git a/demos/speech_web_demo/web_client/README.md b/demos/speech_web/web_client/README.md similarity index 100% rename from demos/speech_web_demo/web_client/README.md rename to demos/speech_web/web_client/README.md diff --git a/demos/speech_web_demo/web_client/index.html b/demos/speech_web/web_client/index.html similarity index 100% rename from demos/speech_web_demo/web_client/index.html rename to demos/speech_web/web_client/index.html diff --git a/demos/speech_web_demo/web_client/package-lock.json b/demos/speech_web/web_client/package-lock.json similarity index 100% rename from demos/speech_web_demo/web_client/package-lock.json rename to demos/speech_web/web_client/package-lock.json diff --git a/demos/speech_web_demo/web_client/package.json b/demos/speech_web/web_client/package.json similarity index 100% rename from demos/speech_web_demo/web_client/package.json rename to demos/speech_web/web_client/package.json diff --git a/demos/speech_web_demo/web_client/public/favicon.ico b/demos/speech_web/web_client/public/favicon.ico similarity index 100% rename from demos/speech_web_demo/web_client/public/favicon.ico rename to demos/speech_web/web_client/public/favicon.ico diff --git a/demos/speech_web_demo/web_client/src/App.vue b/demos/speech_web/web_client/src/App.vue similarity index 100% rename from demos/speech_web_demo/web_client/src/App.vue rename to demos/speech_web/web_client/src/App.vue diff --git a/demos/speech_web_demo/web_client/src/api/API.js b/demos/speech_web/web_client/src/api/API.js similarity index 100% rename from demos/speech_web_demo/web_client/src/api/API.js rename to demos/speech_web/web_client/src/api/API.js diff --git a/demos/speech_web_demo/web_client/src/api/ApiASR.js b/demos/speech_web/web_client/src/api/ApiASR.js similarity index 100% rename from demos/speech_web_demo/web_client/src/api/ApiASR.js rename to demos/speech_web/web_client/src/api/ApiASR.js diff --git a/demos/speech_web_demo/web_client/src/api/ApiNLP.js b/demos/speech_web/web_client/src/api/ApiNLP.js similarity index 100% rename from demos/speech_web_demo/web_client/src/api/ApiNLP.js rename to demos/speech_web/web_client/src/api/ApiNLP.js diff --git a/demos/speech_web_demo/web_client/src/api/ApiTTS.js b/demos/speech_web/web_client/src/api/ApiTTS.js similarity index 100% rename from demos/speech_web_demo/web_client/src/api/ApiTTS.js rename to demos/speech_web/web_client/src/api/ApiTTS.js diff --git a/demos/speech_web_demo/web_client/src/api/ApiVPR.js b/demos/speech_web/web_client/src/api/ApiVPR.js similarity index 100% rename from demos/speech_web_demo/web_client/src/api/ApiVPR.js rename to demos/speech_web/web_client/src/api/ApiVPR.js diff --git a/demos/speech_web_demo/web_client/src/assets/image/ic_大-上传文件.svg b/demos/speech_web/web_client/src/assets/image/ic_大-上传文件.svg similarity index 100% rename from demos/speech_web_demo/web_client/src/assets/image/ic_大-上传文件.svg rename to demos/speech_web/web_client/src/assets/image/ic_大-上传文件.svg diff --git a/demos/speech_web_demo/web_client/src/assets/image/ic_大-声音波浪.svg b/demos/speech_web/web_client/src/assets/image/ic_大-声音波浪.svg similarity index 100% rename from demos/speech_web_demo/web_client/src/assets/image/ic_大-声音波浪.svg rename to demos/speech_web/web_client/src/assets/image/ic_大-声音波浪.svg diff --git a/demos/speech_web_demo/web_client/src/assets/image/ic_大-语音.svg b/demos/speech_web/web_client/src/assets/image/ic_大-语音.svg similarity index 100% rename from demos/speech_web_demo/web_client/src/assets/image/ic_大-语音.svg rename to demos/speech_web/web_client/src/assets/image/ic_大-语音.svg diff --git a/demos/speech_web_demo/web_client/src/assets/image/ic_小-录制语音.svg b/demos/speech_web/web_client/src/assets/image/ic_小-录制语音.svg similarity index 100% rename from demos/speech_web_demo/web_client/src/assets/image/ic_小-录制语音.svg rename to demos/speech_web/web_client/src/assets/image/ic_小-录制语音.svg diff --git a/demos/speech_web_demo/web_client/src/assets/image/ic_小-结束.svg b/demos/speech_web/web_client/src/assets/image/ic_小-结束.svg similarity index 100% rename from demos/speech_web_demo/web_client/src/assets/image/ic_小-结束.svg rename to demos/speech_web/web_client/src/assets/image/ic_小-结束.svg diff --git a/demos/speech_web_demo/web_client/src/assets/image/ic_开始聊天.svg b/demos/speech_web/web_client/src/assets/image/ic_开始聊天.svg similarity index 100% rename from demos/speech_web_demo/web_client/src/assets/image/ic_开始聊天.svg rename to demos/speech_web/web_client/src/assets/image/ic_开始聊天.svg diff --git a/demos/speech_web_demo/web_client/src/assets/image/ic_开始聊天_hover.svg b/demos/speech_web/web_client/src/assets/image/ic_开始聊天_hover.svg similarity index 100% rename from demos/speech_web_demo/web_client/src/assets/image/ic_开始聊天_hover.svg rename to demos/speech_web/web_client/src/assets/image/ic_开始聊天_hover.svg diff --git a/demos/speech_web_demo/web_client/src/assets/image/ic_播放（按钮）.svg b/demos/speech_web/web_client/src/assets/image/ic_播放（按钮）.svg similarity index 100% rename from demos/speech_web_demo/web_client/src/assets/image/ic_播放（按钮）.svg rename to demos/speech_web/web_client/src/assets/image/ic_播放（按钮）.svg diff --git a/demos/speech_web_demo/web_client/src/assets/image/ic_暂停（按钮）.svg b/demos/speech_web/web_client/src/assets/image/ic_暂停（按钮）.svg similarity index 100% rename from demos/speech_web_demo/web_client/src/assets/image/ic_暂停（按钮）.svg rename to demos/speech_web/web_client/src/assets/image/ic_暂停（按钮）.svg diff --git a/demos/speech_web_demo/web_client/src/assets/image/ic_更换示例.svg b/demos/speech_web/web_client/src/assets/image/ic_更换示例.svg similarity index 100% rename from demos/speech_web_demo/web_client/src/assets/image/ic_更换示例.svg rename to demos/speech_web/web_client/src/assets/image/ic_更换示例.svg diff --git a/demos/speech_web_demo/web_client/src/assets/image/icon_小-声音波浪.svg b/demos/speech_web/web_client/src/assets/image/icon_小-声音波浪.svg similarity index 100% rename from demos/speech_web_demo/web_client/src/assets/image/icon_小-声音波浪.svg rename to demos/speech_web/web_client/src/assets/image/icon_小-声音波浪.svg diff --git a/demos/speech_web_demo/web_client/src/assets/image/icon_录制声音小语音1.svg b/demos/speech_web/web_client/src/assets/image/icon_录制声音小语音1.svg similarity index 100% rename from demos/speech_web_demo/web_client/src/assets/image/icon_录制声音小语音1.svg rename to demos/speech_web/web_client/src/assets/image/icon_录制声音小语音1.svg diff --git a/demos/speech_web_demo/web_client/src/assets/image/在线体验-背景@2x.png b/demos/speech_web/web_client/src/assets/image/在线体验-背景@2x.png similarity index 100% rename from demos/speech_web_demo/web_client/src/assets/image/在线体验-背景@2x.png rename to demos/speech_web/web_client/src/assets/image/在线体验-背景@2x.png diff --git a/demos/speech_web_demo/web_client/src/assets/image/场景齐全@3x.png b/demos/speech_web/web_client/src/assets/image/场景齐全@3x.png similarity index 100% rename from demos/speech_web_demo/web_client/src/assets/image/场景齐全@3x.png rename to demos/speech_web/web_client/src/assets/image/场景齐全@3x.png diff --git a/demos/speech_web_demo/web_client/src/assets/image/教程丰富@3x.png b/demos/speech_web/web_client/src/assets/image/教程丰富@3x.png similarity index 100% rename from demos/speech_web_demo/web_client/src/assets/image/教程丰富@3x.png rename to demos/speech_web/web_client/src/assets/image/教程丰富@3x.png diff --git a/demos/speech_web_demo/web_client/src/assets/image/模型全面@3x.png b/demos/speech_web/web_client/src/assets/image/模型全面@3x.png similarity index 100% rename from demos/speech_web_demo/web_client/src/assets/image/模型全面@3x.png rename to demos/speech_web/web_client/src/assets/image/模型全面@3x.png diff --git a/demos/speech_web_demo/web_client/src/assets/image/步骤-箭头切图@2x.png b/demos/speech_web/web_client/src/assets/image/步骤-箭头切图@2x.png similarity index 100% rename from demos/speech_web_demo/web_client/src/assets/image/步骤-箭头切图@2x.png rename to demos/speech_web/web_client/src/assets/image/步骤-箭头切图@2x.png diff --git a/demos/speech_web_demo/web_client/src/assets/image/用户头像@2x.png b/demos/speech_web/web_client/src/assets/image/用户头像@2x.png similarity index 100% rename from demos/speech_web_demo/web_client/src/assets/image/用户头像@2x.png rename to demos/speech_web/web_client/src/assets/image/用户头像@2x.png diff --git a/demos/speech_web_demo/web_client/src/assets/image/飞桨头像@2x.png b/demos/speech_web/web_client/src/assets/image/飞桨头像@2x.png similarity index 100% rename from demos/speech_web_demo/web_client/src/assets/image/飞桨头像@2x.png rename to demos/speech_web/web_client/src/assets/image/飞桨头像@2x.png diff --git a/demos/speech_web_demo/web_client/src/assets/logo.png b/demos/speech_web/web_client/src/assets/logo.png similarity index 100% rename from demos/speech_web_demo/web_client/src/assets/logo.png rename to demos/speech_web/web_client/src/assets/logo.png diff --git a/demos/speech_web_demo/web_client/src/components/Content/Header/Header.vue b/demos/speech_web/web_client/src/components/Content/Header/Header.vue similarity index 100% rename from demos/speech_web_demo/web_client/src/components/Content/Header/Header.vue rename to demos/speech_web/web_client/src/components/Content/Header/Header.vue diff --git a/demos/speech_web_demo/web_client/src/components/Content/Header/style.less b/demos/speech_web/web_client/src/components/Content/Header/style.less similarity index 100% rename from demos/speech_web_demo/web_client/src/components/Content/Header/style.less rename to demos/speech_web/web_client/src/components/Content/Header/style.less diff --git a/demos/speech_web_demo/web_client/src/components/Content/Tail/Tail.vue b/demos/speech_web/web_client/src/components/Content/Tail/Tail.vue similarity index 100% rename from demos/speech_web_demo/web_client/src/components/Content/Tail/Tail.vue rename to demos/speech_web/web_client/src/components/Content/Tail/Tail.vue diff --git a/demos/speech_web_demo/web_client/src/components/Content/Tail/style.less b/demos/speech_web/web_client/src/components/Content/Tail/style.less similarity index 100% rename from demos/speech_web_demo/web_client/src/components/Content/Tail/style.less rename to demos/speech_web/web_client/src/components/Content/Tail/style.less diff --git a/demos/speech_web_demo/web_client/src/components/Experience.vue b/demos/speech_web/web_client/src/components/Experience.vue similarity index 100% rename from demos/speech_web_demo/web_client/src/components/Experience.vue rename to demos/speech_web/web_client/src/components/Experience.vue diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/ASR.vue b/demos/speech_web/web_client/src/components/SubMenu/ASR/ASR.vue similarity index 100% rename from demos/speech_web_demo/web_client/src/components/SubMenu/ASR/ASR.vue rename to demos/speech_web/web_client/src/components/SubMenu/ASR/ASR.vue diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/ASRT.vue b/demos/speech_web/web_client/src/components/SubMenu/ASR/ASRT.vue similarity index 100% rename from demos/speech_web_demo/web_client/src/components/SubMenu/ASR/ASRT.vue rename to demos/speech_web/web_client/src/components/SubMenu/ASR/ASRT.vue diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/AudioFile/AudioFileIdentification.vue b/demos/speech_web/web_client/src/components/SubMenu/ASR/AudioFile/AudioFileIdentification.vue similarity index 100% rename from demos/speech_web_demo/web_client/src/components/SubMenu/ASR/AudioFile/AudioFileIdentification.vue rename to demos/speech_web/web_client/src/components/SubMenu/ASR/AudioFile/AudioFileIdentification.vue diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/AudioFile/style.less b/demos/speech_web/web_client/src/components/SubMenu/ASR/AudioFile/style.less similarity index 100% rename from demos/speech_web_demo/web_client/src/components/SubMenu/ASR/AudioFile/style.less rename to demos/speech_web/web_client/src/components/SubMenu/ASR/AudioFile/style.less diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/EndToEnd/EndToEndIdentification.vue b/demos/speech_web/web_client/src/components/SubMenu/ASR/EndToEnd/EndToEndIdentification.vue similarity index 100% rename from demos/speech_web_demo/web_client/src/components/SubMenu/ASR/EndToEnd/EndToEndIdentification.vue rename to demos/speech_web/web_client/src/components/SubMenu/ASR/EndToEnd/EndToEndIdentification.vue diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/EndToEnd/style.less b/demos/speech_web/web_client/src/components/SubMenu/ASR/EndToEnd/style.less similarity index 100% rename from demos/speech_web_demo/web_client/src/components/SubMenu/ASR/EndToEnd/style.less rename to demos/speech_web/web_client/src/components/SubMenu/ASR/EndToEnd/style.less diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/RealTime/RealTime.vue b/demos/speech_web/web_client/src/components/SubMenu/ASR/RealTime/RealTime.vue similarity index 100% rename from demos/speech_web_demo/web_client/src/components/SubMenu/ASR/RealTime/RealTime.vue rename to demos/speech_web/web_client/src/components/SubMenu/ASR/RealTime/RealTime.vue diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/RealTime/style.less b/demos/speech_web/web_client/src/components/SubMenu/ASR/RealTime/style.less similarity index 100% rename from demos/speech_web_demo/web_client/src/components/SubMenu/ASR/RealTime/style.less rename to demos/speech_web/web_client/src/components/SubMenu/ASR/RealTime/style.less diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ASR/style.less b/demos/speech_web/web_client/src/components/SubMenu/ASR/style.less similarity index 100% rename from demos/speech_web_demo/web_client/src/components/SubMenu/ASR/style.less rename to demos/speech_web/web_client/src/components/SubMenu/ASR/style.less diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ChatBot/Chat.vue b/demos/speech_web/web_client/src/components/SubMenu/ChatBot/Chat.vue similarity index 100% rename from demos/speech_web_demo/web_client/src/components/SubMenu/ChatBot/Chat.vue rename to demos/speech_web/web_client/src/components/SubMenu/ChatBot/Chat.vue diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ChatBot/ChatT.vue b/demos/speech_web/web_client/src/components/SubMenu/ChatBot/ChatT.vue similarity index 100% rename from demos/speech_web_demo/web_client/src/components/SubMenu/ChatBot/ChatT.vue rename to demos/speech_web/web_client/src/components/SubMenu/ChatBot/ChatT.vue diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/ChatBot/style.less b/demos/speech_web/web_client/src/components/SubMenu/ChatBot/style.less similarity index 100% rename from demos/speech_web_demo/web_client/src/components/SubMenu/ChatBot/style.less rename to demos/speech_web/web_client/src/components/SubMenu/ChatBot/style.less diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/IE/IE.vue b/demos/speech_web/web_client/src/components/SubMenu/IE/IE.vue similarity index 100% rename from demos/speech_web_demo/web_client/src/components/SubMenu/IE/IE.vue rename to demos/speech_web/web_client/src/components/SubMenu/IE/IE.vue diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/IE/IET.vue b/demos/speech_web/web_client/src/components/SubMenu/IE/IET.vue similarity index 100% rename from demos/speech_web_demo/web_client/src/components/SubMenu/IE/IET.vue rename to demos/speech_web/web_client/src/components/SubMenu/IE/IET.vue diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/IE/style.less b/demos/speech_web/web_client/src/components/SubMenu/IE/style.less similarity index 100% rename from demos/speech_web_demo/web_client/src/components/SubMenu/IE/style.less rename to demos/speech_web/web_client/src/components/SubMenu/IE/style.less diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/TTS/TTS.vue b/demos/speech_web/web_client/src/components/SubMenu/TTS/TTS.vue similarity index 100% rename from demos/speech_web_demo/web_client/src/components/SubMenu/TTS/TTS.vue rename to demos/speech_web/web_client/src/components/SubMenu/TTS/TTS.vue diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/TTS/TTST.vue b/demos/speech_web/web_client/src/components/SubMenu/TTS/TTST.vue similarity index 100% rename from demos/speech_web_demo/web_client/src/components/SubMenu/TTS/TTST.vue rename to demos/speech_web/web_client/src/components/SubMenu/TTS/TTST.vue diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/TTS/style.less b/demos/speech_web/web_client/src/components/SubMenu/TTS/style.less similarity index 100% rename from demos/speech_web_demo/web_client/src/components/SubMenu/TTS/style.less rename to demos/speech_web/web_client/src/components/SubMenu/TTS/style.less diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/VPR/VPR.vue b/demos/speech_web/web_client/src/components/SubMenu/VPR/VPR.vue similarity index 100% rename from demos/speech_web_demo/web_client/src/components/SubMenu/VPR/VPR.vue rename to demos/speech_web/web_client/src/components/SubMenu/VPR/VPR.vue diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/VPR/VPRT.vue b/demos/speech_web/web_client/src/components/SubMenu/VPR/VPRT.vue similarity index 100% rename from demos/speech_web_demo/web_client/src/components/SubMenu/VPR/VPRT.vue rename to demos/speech_web/web_client/src/components/SubMenu/VPR/VPRT.vue diff --git a/demos/speech_web_demo/web_client/src/components/SubMenu/VPR/style.less b/demos/speech_web/web_client/src/components/SubMenu/VPR/style.less similarity index 100% rename from demos/speech_web_demo/web_client/src/components/SubMenu/VPR/style.less rename to demos/speech_web/web_client/src/components/SubMenu/VPR/style.less diff --git a/demos/speech_web_demo/web_client/src/components/style.less b/demos/speech_web/web_client/src/components/style.less similarity index 100% rename from demos/speech_web_demo/web_client/src/components/style.less rename to demos/speech_web/web_client/src/components/style.less diff --git a/demos/speech_web_demo/web_client/src/main.js b/demos/speech_web/web_client/src/main.js similarity index 100% rename from demos/speech_web_demo/web_client/src/main.js rename to demos/speech_web/web_client/src/main.js diff --git a/demos/speech_web_demo/web_client/vite.config.js b/demos/speech_web/web_client/vite.config.js similarity index 100% rename from demos/speech_web_demo/web_client/vite.config.js rename to demos/speech_web/web_client/vite.config.js diff --git a/demos/speech_web_demo/web_client/yarn.lock b/demos/speech_web/web_client/yarn.lock similarity index 100% rename from demos/speech_web_demo/web_client/yarn.lock rename to demos/speech_web/web_client/yarn.lock diff --git a/demos/speech_web_demo/接口文档.md b/demos/speech_web/接口文档.md similarity index 100% rename from demos/speech_web_demo/接口文档.md rename to demos/speech_web/接口文档.md From 2b6fab33e93facf066169e7e48f5fa0f8bc49f5a Mon Sep 17 00:00:00 2001 From: iftaken Date: Thu, 16 Jun 2022 15:14:07 +0800 Subject: [PATCH 006/192] rm TTS.vue --- .../src/components/SubMenu/TTS/TTS.vue | 726 ------------------ 1 file changed, 726 deletions(-) delete mode 100644 demos/speech_web/web_client/src/components/SubMenu/TTS/TTS.vue diff --git a/demos/speech_web/web_client/src/components/SubMenu/TTS/TTS.vue b/demos/speech_web/web_client/src/components/SubMenu/TTS/TTS.vue deleted file mode 100644 index 13884ef76..000000000 --- a/demos/speech_web/web_client/src/components/SubMenu/TTS/TTS.vue +++ /dev/null @@ -1,726 +0,0 @@ - - - - - - - \ No newline at end of file From 30d43045fb27fdc4e93be494ccbd72cc01ba2375 Mon Sep 17 00:00:00 2001 From: iftaken Date: Thu, 16 Jun 2022 15:17:46 +0800 Subject: [PATCH 007/192] update demo show png --- demos/speech_web/docs/效果展示.png | Bin 0 -> 86155 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 demos/speech_web/docs/效果展示.png diff --git a/demos/speech_web/docs/效果展示.png b/demos/speech_web/docs/效果展示.png new file mode 100644 index 0000000000000000000000000000000000000000..5f7997c173a685ff546664925a839527bd639d49 GIT binary patch literal 86155 zcmeFYbyHm3w>1jEL$DAaxCKaXcS!<)kRTxtB)Ge~2X_nZF2UVtf;)`_ZQQ+qhHju6 zxc!{-oYIG` zBI3874p7mHg35wl#eaFP@a}`n@Yd5x3=$$WQWq7Op1I^^(*8hO6`Mse6O}Iu1A%2_ zCwSt$X8=#|gc#qW#ClfNW0L=w|2{g(CvNRmqk-R0hDkpSsJsJQ1^2%aJ$v)}iRoK( zVS~}Vk22%K!`wfH8y`A4yV2;{0G5n#*Wm6)4VCT7S5zo@Cc&z0&y@swsfWELi6V+o z^6=^13X8ucWYsV#5Hn&hATqONOK*a*R9VOsbFLyHE~V4(QF6x3qGnO)v>DyJI9aG8 zq*Gu9EIUtwvG*BI1~wbouyfxoii(NJO-f^DGCnY%ydFM8kv-BkDtYAaD`$|*%&y+} z1z^SibH#_(FOEF|3vbtdW;10@8b-47>QhlMNvZB2&dm0LSvAurXm}=`oc(DVOXtFk z%{Ghe=d#Rbvw8e7uvU3qYpFzxUjM?es4~rRPyR_ksa6(o@o+LT)L4m6TRc%Cg}kB` z;>rF2A?~Mu;NO3`)my6dlbl*~d%LtY%2Xxt&a;rQpS!lZt}U4P1Pa38$LeDF!=1x z@j3KtCp(z`oUgf4a0inM9Ys~h_;b+{hnE*c=@X05;V5PEPo`3O6C#{TZ7golf_#XQ zQ1L8KB@EEV1Mt4);+~^Oek`V^d(!_yrWV@)h1LX(NAu}r&-X9rpMIOwQmX}8)sj)6 zg!QOQJyH6>xACO)Np%ot1N8tcXanOVD!4}&{he_56BT-nkF>l2m2_C)sGjdozr1{b z!Sw#k7tvS2CSN2Q@mT{#^FEbfmWTNTFX!=1F_mGpV_i%4O;H{YM+c5@3QPU%=|JB}RQZrZE)I5#+&(p~VXa{Cj zB3FtoQeNoyB+@+x29?}rFG-nE6Jxa^-}ELKA8`-y?DMqn1f{_=+11gkLtO_jjfv~X z7fBYsp4izCH=}`qsDH<9IS6xPkxUYk1sHD^wKA+ItM+eJ}U=a{coto?FF7%jJ&-k!*<`4`T}jz6$Zu|aXK~3NC6LK)Z|yfzV2xp6YGpfZHSJXt zGvE9tr>0BII}Yl3n%ZF5AYtZgMh27=g#+*_jeijrH@r8mnf#WmqARgVr<-u5wA#?l zb?X|Won#z zzV>(R$awr_6tVO@(x<`&9z%l5;mpBloFWA1muV~C<{LeW5noE~u)M0#j z3Hca1u(IbQUu0kf8HJxsprJgW~aL6ny1Z2b%UB6 zTDVo#Ro=G4f(n^BnV6Y=+IS#t&=U|TNW(dL|JB42Z>ja9hM0K=dxx(Z!O7f-^a<_> z=yY9JQ`CW~oXSq*D-{~GhFG&Gz^&eCOXSqC{aC>@XTNi;ZT2=Qsv>H!c-nMvZc$*s zHPxCcXfWI)iI=n8aK&d;y(8NJesH$M=_+;f5Ed3AS2FZ2F2Bvp+0z*|L4D4DW#T>W z0ri~j`q~MA9YF-o&Ab=9q%L?aH}C%3iW`6D=1U7ptMNJY82}9V4k1?V)$d$y3K2nw zsQV7IKTnL%SkY*(C@@Q~1kq#BMX;){kFW>P!!Ye}&P)&Mg)6=0KZaWmkH$Oa?@S#` zjZU!`rWkJ3LOstr<2|+aC7uc4kcGC${J>W4pAVNyFiZH%;GYwhO)JuE^)UMyUWO>E zwy?U|ItZEu8~Ydw4v2>f#3c{74Zay-8k!r58GsL^4#1ek@nHjDcBLiogn4Z_OMKV7F2#R?UeDB@^nY_stoBsT9Nk>aJla&& zj&927Ty3%y(CfANMSBFbyQ zyRzni^uB5XbcPp8>1KEHeVhZJW2Es_@3JjP)$3La4rT>pE~Yitc_)sQNMzP!hGc?m zF4mm#6q?v;Yz&S&t0q7Ppvaak5WoXo>{NPrMBPtaPwh)$NKz#h<8HTh+xAo6vtzWS z+%k2t8n0u}&Dni@al4_k?t4pn(cLU85DcD2pW|Q1m`?!@oK394UG!G~)wD0A{w!E7 zB>(YU;#ygEr#t%H=CyEl7bJ=$B=8%rK6F!hB&?biDz&m~F{?RSG_B@@PL)9I`CvR6 z=N=nMb1FV4Jb#loqTCUy8b>B1Ju#Lk_x*;$w<@Aa!j|4P`;_K%$iMmC^ARVA_#4Zd zvYqG$@oyehTP|yd)A%YwV|<6^n4)CvlERq|(D}C8{dQnjPPYgBdG8XZ*}`E|4wQpY4(Jq1Y05-Tzwt zDiI4UD}bz9-VZLWd6RV6h)92ExT6otC+-XATgc_|ki2<+WrQ%D2A6k(y-XjDN~L@r zT19_y^WJ<%cx@>jYFD+u*G0OHsbZ*n5t8ux8_f%>DgrD?UP(9K$j2)ipF{JN{YWlS z{pIdZKVRVl2_AZ*sHMb0l&4w_-ziY+p^OcV3@B%HQ_)Yn!YRa1_Dx$C=@3B!(!z@wIk$0%b9|iJsi}A0PLIksjGYceg&4pXFloFZJv2M0U1BJhCs9Z zDblgSfBeS_9eW2y!TKw@%-jEXQK905wG;lo{KIqXkHQLX3($!OQUBA0d;{kHzJc(c zNd9jekc;I1CviB*jxPxI#|w~pM9hi{8l~MrJM33^kWJ@9iB?03eB5K(ehv?0Z$g0S zQxf+Om1?irFQ>>i>XjZdi0^by82-`B^+pqM<{bT0;JxwmZ=|x>J*bu-(dHw}SAB zbxoJ}HoL$7#lZevAZ~e^vCYa3=WMermh+-vn7Nm?aOS6Fbg zYKekis=k}yO1@90N5~u15*wZG>SooQTSk1|(DB9cCaYB|8d?!iL14da%N%cwvWGy5 z+emS0rsFnq|K8(dggxMPS^ReABcJ`5P6KpS08?4p9y_e~bE<$Gt#7nQo0I8mUeD=X zyfprG)b+g(vBg|@2)Tfhj7^Psj@E>Nm%EjX9`WA`?2-D(bNt5u=iB3&Zi?Wa1s|fA zR^gE(x&0BMlE(W=rxP3R(8kfaX!uk0{fd=i5rc*GP!6FFoFHOimM%#1A*e+;g&-zC zue#c?stva0rgb?!ei_@)x<%`cNEi^{)8k0CeMCl#-2Q-Tvd-<4g3o05ElVT|h~x>Z zH-xqgXk8N{q}$=bJCV6=oY7*DekPG*xzOKEKW>r?&CQKHkp4cpdF zw-B_^%w^mUpNTRbCf44ny#3G& zxyA0fS?w-WwC{x{2TUbnMmxmfr>SV6W09zweB^;QS3S#v^IJ#fA7_jA++wr zWtr=S&9Lfy#S3e+GH!P}wUHGUGZO@$9EVJ7^tn&xedL1&6rHz1r+@;xWgWZQy&J%Tfrfb=DEKeWYY(0LhYU#hocCP# zE-&OJsADn*i^I$h`s{!Ipx-OWw8|KC=jXny8lqzqp%)B>;_Eb4kRF!89$CmkkXb}+_m!+no{0LRU9efQqC z6D9P{Ljm)9_iy+Vm7b{)uQl&A$mL1H;m-xXRBAdN6M5IP-TWMTHk$=o_k&N^tRa$b zr@Z>1$M7$`uA{D?WoX-wD+BSrCC6bcL+N3AGA84w(=6Z_wQiGLc<|dYfD85%1-Oy ziivBUV>&Ju#g2y=x8^wPy7h}2zLbrLO64|so~}mk*OOK>!owGIoV(yIV7KnWxe9NG zZ$f3C{Mjn^2_j&Q>HLiU@&Os*EuVPuc7>{kzaoT2YBxFrv`vRH>AUVSB^1!-4-&7Z zy&$)vY75ehI5F>$gWwhJ<#;O@z2w{)nFWg5pYxtf)kS&2x-3gPE((nb=rfUfEM25y z*>aDD&4Sm-dFo|)t8po3PmzRQ#=1_69op=E4*+MVeJa#$49fnbLY*b@fLhc=i4deYC{GMInyLXRO_f zFwpaL?L34#Q@vLr7e`|Z z1=)88U-?VF55ja$gP+-wxR+V0*TiNL00}P@hHpv~DJL}aeJufNh^Dcx?Jkz8J&|R* zqsc;YRE{PdP0#kp=R77d=0YV|r1TnxcctzQ3MWFybd7|imUyZ|;-vI;#FZARw9Vtd z*v>x1#N!xqT)dmd++uL~W={G`w$rlps8k=D6i%(JdTOTw`VzHYGkYt}K%tPQBudTY zpVwO*rF$>c(h1$xDsNXqr;~#OU60_7_sP$<5ZiIu##+!-_ijxjKZiK)lHkIn?gk3_ znvJG%*((WOyi%>(x~LPcBT>y-Y&VV4YPX5dvH^~LI@Z;xefy3rn8qx&LUSa`)2wOO z0Uj+lA<$^IT51-t+j+AcH!)wOjhA%@e=#|NsXl7a;UQh4*EMSEKC(4XJr;xvZ0l)q z<9_^LP~~#7EofW}+-doec35l_$%8Xypheqc)oLTq`@q} z*L=2fKw|GV8i9gk4Kl}8;fm1+oiRZM`*Ge>ZS#fn36j4uS-DxjGaOY34cpSTR~Af; zm7=%0=w_&T8}OvWWaR7Ktn$KOELp&-Q2^o+m(S*akk98PJ}r$RIj)hdx^wvoEVURi z&OEj~>wdOkDc5*r+U|C^llUB9-~KCwoSR#vQE~X?r;V0BZB1q-;i6jPINoWe$Kd+0 znrBt%d=1zd9ALm$NJweR2S3`NyNyE%Qx%5IlO;aIflotnrpg}~O}alNt3KPG0>z$+ zA&TI3rf>-#MBQdxBd4x+8pz(>=;+Tc5+N@S_P*+fBQiZ3*~N#qsw7bw)jEb0e`<)2 zDd;*S_S#x91gtHwMB0Uz41Zde>33r(B8zRIAlc`_i_M;}yW$n>i&W!=xXkB3WOAd1?GLa>$NmqqxOq{z+N!MF4yGSba_rbjl; zmm}Z4F0IgHW5t!`k*xSXZd7ItvYq&s=A57dkoBF%&{G%{I9+cVD_GNc>ExlZA`U9| z9aB7v46Qux#Wfx$FV%1j>gczn%T9M+^PA1`l$|Rops(24^}4^-=m_wbSyD?O?K!!c zWi@|IQSa!d-&Q~L@(vcwD|1pSVDDFYT}Dl&6q^N1WQj|cG>+A3@{&H0KJcFcJf3xI zR9?sH7*2}7uUtMzt9!W5fXn(-JI(pI&XsyJK{D4Zv<+f;0^R&u}J%yFP^?2dI!KIH2QZdF}Gy_wSO` zS6h}|1@!3_2w}k2w&0%3UeHYEzd#b{x4nk=*-__ZqkauFoxIb}DERqRgJKAe+I*J2 zc1Hx;zsHf25*TFHX=FDf$MJu-Ev?9sLO9r~o>o4#jou-V0|R8uZz$XBVvA(ysdDtn zxm5f|>~dO^K`>y;F&Vkk20x$rKZ=Ra>+6)f;&WfoTco@bK%+WJ6C&5qq6tsFQ!z7ivYLCeqKt7a3Ug!^ejf$Ty%1YI|H?bhLd3_IC z=L??QD~dtl@lg5)KYtzR{aknT_ri_(lR|pM;r;16H{XyTp=g0-!E85?ExlzeD=mG3 z0yA3P&A)-Zx3xm8I_VM&6Dwsyll27-n@wh&^>0OA)=?2P`G)lqHK}T8c>c`*Sc09EbE%$kX!_Um2DDdSNC;vbssUsRpAqP>NPdl2$e}_dSh;Up0v+NgX zfWvgcy*+3r&a8}@?bm6P1cO=D*W0Aui^BHP_6J32g75j3-51%?03WdM!$~ie%rtNI zC|*&epZ46f?d$Uf2ZrIrZB1l$KV=a^ZT4(n#yO-~Kw@^6g`LVJ$T%MmuyJSf%-qIo zVHZ|n6=NeT3@rOKYt~`STYikzDN00X`gdR8Eg8_|w+4U!B_6q92*&=g8iRn&LmG?I z<(4+TNmeys!Brpje(&mogbzBoLD$Cu{0qAN#(~%Y@vb+99Ur9ne<1r(7d?q&))YlT z`o%L0G98QWYqNt{?rRuk%9Ld&o9N2bdA9c#8f@_;>m)3CKl;K51SGs&aH@|=a4fF_ zNpE9WX=vACP{Ljl3rwLi;8Sg$Oz=S=KF-ynscb~4aW3e6l=hV)CRv*yWK?C$t>?za z_gWMHcTX3TnGX+O&xS(Del#P%;~Td&*b`P~i#V_>%hVG?|9Eol|3?tqq~D^CD? zu`-z51*1UtF{r_@Sa_R_W)sUjuY@L=oI$otTfz-L;QX&y?`pR7ob57UQX zCa&@uZg{w0R=FNGmuSPV0_DyA3={2DcTfx!J4!|S9wra_Q59AT-Gz0+)}VE^uZ*MO z$6ZPJgBQG9tyw(mo2^`PkFogDG-m(h1JfWm84(YqSftYQv5vDdij?E~l0(;|-Bj>- z{RTp4-G}-O#f|t#uyjfsjl?Lw<;s-lfY`Imy1}`Hb``z*JMU%pB!|UnU6w=^`vN+6 z1<45DX3M$3u+M9OMf;C^58rVFOKt>5hNN$K+e3TB7COLWD@XrudNVF9g=0IUa6;c+ z0FHI1)Q`)<{(Z|fl+2jd`>f4;C68ir_ub}H)KHIjxW)0jf4a+#^?M&>@%;DiH67K1 zrGr(g5A%{av?s^wXkthD#rpd`b4p507Cu9@8U3TxGtpl{#_@flQ@Bu;F3$9+!a4kS z-qymd>$=$m>oVeb%cOWi2Bcn*IgQv(uU)OK^*HF>xBVe0%l$0f@d>M5kVlhOlu=YI{E80 z&tgGFO;-D9HG=j$+RYC}19`xzFAa-2&J)*;p1piSxei9cBbB(<*Fw&NjjiJ0iY=Pp znX3~_N~_owW3OiRg4{9nD)47kih7Rfh}i7*qL!tk)QManA$l&jGBd?b5&N~yl4NQL zVGEDhD$NUd?l*$ITM;aoWcpO#Nvt*B@aRMGEzm~Kz3ywt9DnSgU(2iREuR*~NO^9c zAaFE@3a;H`(6$6(;AW`98b1aKB1`s}X%gsUxqOa|SkSQyFY|sUaTn*XCm0Q1oLl&~WI?+b zNql_#2*b%DcprFcv)nkX;Bzm)=Z6@R4>6o))JaQ-)UWMjyeBm?2{tk}SeYAhYFBB(|84@BxYIcp{owBD8p*0V^Jhl_nHpbXGVlp(rh0S zuk-BZ>Pu8quvCT_ECPH>haawb(}}zXCgc^{Me}XrL^;(TP4@x$+ePx(7xCp<GPoNL>R8>FSGb(m`$zs(7RBT4_!Q8da7KHZkHBe82cK0SB`1K zZZi?&1cN_qq-Z%bDTs9dHwXw7G2YTTZL<_0y3+r#2a}-ZbzcKs0#3roFk=++1eu=u zN^6}PVS*V>puVs^E5u_cq{?EtV6$l0vvYK&ArD(dvJ({O%U06DiFR(HEv!QW)=gb| z;Qiigx7r?EFT+{d4bZmxwJqrp0zF%ueMT$ziryX$g?)E?m?-IT6U)T(2o(;;XmdFk-A*{1EQjPU>uFmtVVIse6-X-$8rzTVBs!AdP^e-rZy5c@W@r5U_7cxg>*B?P`&ZXK( zkwZrHwlc-uT;t-Nv#|N7??PG>_e3S;E5P&%W(9lg@63PA=zRUZ*FH~S945ynL?68N zP?uv|1PLq7@fpU!>qZ_oA^yhdalYVA?@VLf^VYGW=ESNnEd3;lVf*%3Xq7uMqmsX8 zy~w*PSQ<@cQ}Ck6^biX@9pmbL#`0lO&XWz3FNIT;8JP@P?3Rr1+0|atOJos3)t_-G zo96f(mnddFPbJy(2EU@ob0nAM3&ACGd-G3g-qz=}idh8=@>OgwvwZKxEwSW+>>ekg z$!8~s3u&Up0^jB+2-s5u>W~M%;;oC&QadL>+AE;*y3MNJfK4 zwU?f<^=9ky^WeU#_i!S(AF^9*07}ANok*n-3cOVM^)?N1F<&A4n#%8Xmu%^*l<(-) z;rtzzxp#-@=&Pq;9wKJ1s5rIT`=K?965#_br}KQ5BBZJEe1D^`N0BEYWQ?#}>BJ^l zmpgLvfhu9gEo(=JA0|9YPFgo1yUr?c>z!`I7_+eo}~%#!HWebWoU84KLsY~5xZ$^_V7?!Z>+uO4jI0jssybjM`+E55$y7|Pw*r8!eoY@oaIdIY%a*S?|BxBE=CaE8 z6oxU%F*GC!PP07^r!Rk9R|#zobOn<& zgkwLj`$5K#@@g|xJDMmhsM%sOu!w=GV6$mKhiE*l%3+j(9pV~88C@8i8Yr}*uORp~$oZo|nxJgW+g z8#_dH0oC>B4?n2c79w9~|2~PU#TA+IEv zSX{HuvNU_Mf#qJ-=cTAi{NZx3>iZm|B$)P@vui~rL?W@R{W{VcQUx22QP;d=7(}wM z8<-ER-JjjXgg-*i!9~H@h%sVpMuJEyZ25497zzQwIj+t{?i-APlLnx;sh)?S!e}>X zKwJ-d2EX0Q79}>e-cF%gT{f$1^H{O!pAhaW0q0P1YWi10RWH-pnv^8i9>fXvvxn`4 z?;BZ5+)hCX$>rZB9xz}+v>a*nIg}8Ezysn%wG?J#3f}fWhhIxK8g1kphr|tLRodIlQ7^T|O8()$ z*t7lkkaX70o&SzFtrSIFG7me9-Vyh_eCE7lN=6~W zXOEo_+~Rf&{XzUGa5GjC=)c+Fb}DM7_B!|_(OHgn2FtzYIUZl!X!HSOW|8bUI&~-R zt;rlAAFbz(3ep~6r_9?taLc%Ys1cNz?vW17WaEq@7&3b_j9Vx(_S{<{d*16XB6o9) zgcPR&t07Cm#-N^KK0CvH1+XMR=0B8(k-W?EeFVUpkCXz7fM&0M=Ug4h3(dP6EHZ5_ z5(&-{3oYR<%r2(t#k@GAJ-E(G=iW>XKDIsIc-WNwnAW}O#XXM~k!4b#JQ5HTnh{kg zWInY4YO&8X__}lD4D6=D{S`Z&C-ax%AmEW7HH7sMqm+zjJCdy?7IcZ!k<*Elh3CcL zC#s>S&t9_ATd?GKI62HK*64N&M({Cxrm|dKTM&KsMfm#9?0DyGlEIOT5lwi$- zjj$K7xUDSv^vB42K5buwy+XY&b4uK}6VgVJiGiDH`U%}s8d+@x52<==A{E(uw+?CW_3(?9);9YYzPuQBPxv*ueab{3PB7q zEvBPEf5OXtg}dlvR;b%@3s}$N+c6ks1bBK~o!HJJ^;t_$vvKeJ&)VK< zbaY{vk>rYbQ2h4I`MJq)yr0~5$^0>F)dh$b__*R3#Q=YbXAe)&K1#c#<&b~LB$^cm z3HdEzJuj}>bo6U;z!9>Nxjocv7mDXEp1(fc8toQptlMc)jGHLesstoNDOJk0J!?Nc zdnVFiIXhXY*~Y26$=_P@J_HxboUs)5g#sluvs3=_4}baYpqfv-?>l|>bG=Wd@5cyi z_QntQdXFL)heQ46qqt(@AYTw$Q9#ARuLFHcE8;n-XqeAV^J~Q&k*>s^Ew;GfSi%4x$ z*FSzNmCLozIkkcD2H953C%snT&Cl%`rvf5X)5E*ZGPQe>2Krg41?t!z)Y!gPru}1u zNz?=S>9@=SmO2raQGW9d>vZ!*HqMh-OMAqW^@!qC+Jbu=mMoLe#cd#~lx)ME==VCK zHZc|~8i%|$)&ru=^7;|sMOr-K{)g_)xAnz)Vq(Gyhcl*bzM~l?Puy7H0jD#?pI5Hs z|7nrae=>bae-0HB11XxWkN&NKpM&Y?HqW^vH6Z)IrotxmxGM^ig>U6qMkR`mbnmb| z|KRh#JE#?6g+4QKLJAKoJJ+5!la&s`qSz|igE0c9%gqs#!D!&N@!++3j&$r39P}At zd|2@IEYH7~E`N6iyq#Y$c);tnArO%b?)g?BBsv`jm<=2}7~_hirhS7hXyG9@9u-Yw zLFS8yXuBB9Nbn2-jgRuLeOb`=Pt>Y+Nj_$anHoj1J!9&R&RQb)Rew+Ezg=Us`-JgB zo9jND0Qi}9gX1=)^EeL^?=!8{X4_0dHBhJLwshRAn29+4Sh583q%(Kdm)$a3o-a@7 zGf%XcpFGMwxfDhSGOXaoD&I>QExkPIUf3(!}&jJa-* z{~MM6J0AbNAO1fal~5cX*lLT}N-Nm}vWC&9{>(iP;a!`|FdSN;3Nh!bR9o0zZ3&+W$4N-lp~>b{X9 z>F4bdP|%itwp2Mn+p#b7+6-DrUdNxKU!hSGIbm+Pg)~U=M4dEnACZ%g$Lmc$k56WcHH?d~!NBIZwoc$2b})Y<19&T$O$w)&Id|e0 z+1Nn<$(Lb{Q4w z&6j?EHLJXbRP$q2n)S`$(9`Oy#5r?8&@J-OII<_TnfGmRqC%}bw$ zTXSar2Smxo1nHmE#7#eX@j+XvWnT=PHv&Qm>Q8wr|1m+`T7m>sD{oY^M41=Y+`+5l z)!Hj|-QICn#XUBoTh_-H z>wxK7a@4l?B0FEC1NQQ#GDG9CO0oT4t?VdqjvMKp?vI@x%nO^iW&O|0ZQ`8 z(P;hIS$EeDA{_MGfSt*Qend`)-o1uNta{^K`Ge{9;Pn|5345!5{kN}5rFjo4&dQk` z+H2Oa_4{ieqzP#p$?6(#wp~5VO*&UJb)Cus?1fTVr;l-V%$#d`!H!bmxzfJm_tuqo zM$K~`3VBal;C#>Ng7VsHZ^puR`ia@F$l4C?p&;OiDdZJjFmeTY&QRIqCL=eLQN4}) zY_6YI5|W}q?EU=Ashq*mN+*VpyfG-zsx|O)a6VK5n?iZ7j|7|+_~5py<>|ll?u}HB zQ$SS2d-u-FOQHCZ2L_P0HGsN-F)6LR{vfNlN!Kkpl8`o9KZCucr}hDX7`g!DK3q;> z*ILeUKEq&MU-Qn~W~BkoAblHiKKF`^4n7C;Vd?N?Hzzz+vMm3E+kv$>G)!?5uj@1G zSmA;)?ObPI1D_2p*`!cS_e10xoddc=E`31jfcNeQvG>pb$8hhsAl$}!mH8IJW0fc! z7R&E>!eg-H>DTZe<@s0?ApybbWdf#NA4>{kp0o{T3e|K-2`zi4@0%_v{koHa0q7(; zVBn)UwpB6b(`A7((YBMzij^~2soU0cTX2lYd<)nhajhW^v(^^^wjNEch_@lGyE<9v zu8Ud3K`)ptq!rpdh5Tby>-k`Jw`j~ZP^_AtYcqz4bh-~tEe8BRgU3>L4BXUj@d3pR ztGgfeT-LRbQm_+n6Uk&v>v+xy)cLB)A_>U1&L?$4>3l#@v6M3wkH_wdLFUkclX(; zOc-@@onsgYZ7X1Lvi8I9!_8b7M+^NHPj#gjxf}u24`sMEInr9NhBj@&VfuzIr+`@;m zpVo!mEwOu3(gZ@bXQvyJU;-(GL5Y$t(2u#}@;TVGdP3@Pg&Z_E!lJ>0gxwUGaTy-d zPyLa?qw0z))#T7MU`>zM5M-Du!ms`aJ+9e{<|D3ILL(5LO7;yrrg!i|a(c~K?KKtP zA`MCG>eM+);d=v^TpPLf@>-$BGDPtTv11oy}kC(ees66q@Ee6GtF+8C^(Oo)U zQPbIhQ*xM#sqfa(EM6qX&F4qdbX(Ay6_ z_3L1J20zvK{iocuLS#&x9VX+wd24Q4amT>tF>I_QD*pJSs;7CQIO*R_md%zP* z63-dvNK4!Z<+27hm`q)`go*bx6$3NUHo=}^J70M?*;n)xX7`w|zQ=XiSAsFwWQ$=KW=fKB8NytaBEtw;HP3-4nbQlUjZ;=44yJdBLie&&G;;#dKnGDMdJ4N=>J7?*tkM8Xqsm5#=%!Ctxy>H!aRES`} zT;&ul*BmL9oEKavmkI&2fs)WLl2{&!V7u%ue4>EJ)mp=#mFMEIM8c^{#ye?Y_>_k; zHEmGLhCwd|z|{<-#BtkfPZjXADr)g198x=`8@aX;_*5ZK`~%U1ci2f~mp zasD=S_`?G=SsOQTgqUqe+WMe?&p4-KrR2(k9V>i4+uzW}daQ~i2V&BMXT4SrL6}iK z?%W4KCHI!5%^vRw9170nIkd;SV6HB}PiG1F(pc@sRH%!TB$Gjv=O=9AOKtv3d$`ap zuhy>SUk1)yu16j=h_NE1-5e1q{wbDb?budX>|7IWs#ScPULEGhnvuOyh!tQd>)?|LA$!ejPCt>ip zzn{fo5xaY~FIaXdjCRs(MSE?vpQHNArZ6Pmmj8FTn#e$8JA6>QbS+J|hnj0)xNb<@ z#q%btWm|?#G6!kF-;+4D{E*IIf&C~)?Hf%@C)`}fK;c2eU8o-1I^QwcNk=#OH;ks0#9Sm z5BK`bY*BBhLPM_YOISBotFBbcHY&{Nocb^oquVlGwpGCltc9AQyr?8~&kkE-q^<#| zFwzRF_^-8M0b78lnN<$^lpe1ufOU98rMW5-tA&#G>fQSjna0QRzzm`|iR9V{rYI>l zOaA3q?&tgzb#ERK4?|!cARKuRV$O6^a%(%r2^GvT1E^mM7kA%`oHp1mO_#IS4O;c{ zR`s@nv|2V_{NiAoNKYia=ywj}Wiw&|Vw~;19q{s7gUi+Vhnkt-O1YA3NRDXlnebP!|H-Y?KIp6C3L>d^T1FtZLDMJA1bJWvyo3UzN{Fh6Odha%0py# zbCnmNO-39>?=)qw_XROcwehM9jT}WQMbKqadxc&kd9jJ@p|!8^|~hKLB4b49l~>_?Riw(dU_R zIc`KD{gU%rc{C*05U`{ha}&Abxvy)XUFRN^6)qP>v59!3JL-GAfB3p# zVc2X~mX>0=r784zK)q5pE(gNf&}=&2Y?`J6(q%(fM)P+aPl%!N)b zUmE!DW>eP|D4k`q)W(CgQ)x-s$G-$ zfEL>3y4+%Idd}a2#$6s(yGw>=5ZLD{4dtQbZmm2UB-&3h#G@o!haujTJH` z+nTTt=oy9oSc9&K<%%pvQYW)%T+5%e1WRu;KoC&Mhtf0Jexdb6*^iWXY@1G_yQ#Xn zojQoRnU55WNc7ZmdSmI2PdMVg+}v^G^@BtdzhRfCGLIyl5Q|$JK`QHUa*2dD$*JQ- z^7idMJ^rw@g%QvE{r>wgw~GuUTB~9JHdIe^ou0yZb3sgo75DJ#I@7+-TQbt5GboPT z_jEeITzy~{n8;bUniJOId<+5JlTtcGVm+5F{GF^(;z?q+bSbTn^;!cE80EFGCb9eH zv8~fs-)AyH#v|t99si}?m&&M(_v!dtOqI(^`x))mb}dHJ)MstJP?3ERE|Y%W9B=m) zWX`|~5dfx1&fQ~D%veyhK7?jg4M8Q(x;)GiG517|J!RWok6L^g(2jDjiNII z;ecInf6C`G1f`z$ZgXB?cG^Oi!fwYdxLRV~@Fy80#WgRP*O)6%7){^n(l{`X$Eb-g zQPDWwBtXS;2RXA;2ENo`ZT958djDODI5ofKa6C;$f@HJzheOf+bF*qzGb@ zZ3#}4pGQj>Jj`gC$Jlay{`r4UGlN&gXswAi^d66b^dd0UY7V#`D&IhSuT)xW|#d`*0#UyUe zJeQUJVgJlxzVq9PSj_&nMM7=MvJ1R&VOlyDBRN`K22jky=DnpJx(uEB^N$rIdz0&D zeggDGfF~cH^ipop!WwOk?pkokhG8;l!Ie|xpc$`fkHWXN-Kxq$u+@c`>vvcBr1(gM zgojKc8@hqMeZH#y;s4I5`+OhnOIOjw+FfhywdWpl&N0S{BhRFAwo)A^uw~Y$8Em#T zyh?3+yVN~zGTQz>UI07rBiTtgvmMN{a>KJtzT4tDkO}Dz3$x-ZOdrF_%sa?4CGaDw z!oFd=Ln|V9#JL~3OLX+BrvcJb1svE>_LQn#Nynux5_Uf) zUXe8#h4e2&{kOOg5n4LC_?dabL~BF~XfaFYZI$KcB?mj)hW4&D&J;BFfiHd1GmcQW zTWX>nfI1KQ>9HA#MN$hJQrWE|SE|DI>~?T^U7h4yoaZ~xrvIpv`%CTgcU8`E8t_-# zby@k=g8Iqez#`&(I|Tk=+K4BiMyVzI89I#9s9*3@HYtWaPwV@pr@aADvNr<&ssxqiu$=ET2O6l^aHRU zjQTP63v4QoW4u$e>=QvC_vzbSsnECaaP$0cY9q-l=*(cH(zLD*)c#foF0lHXOfl+1 zj_Bf7)jS@HPdAoGss&Kf!i7{nSm=XU>Pz%$Yrw(26IM0$fD(*0|MrNK_ znfeh@WGXA^Ewri}8YQW_q4yb=5$ST*CgSS&cyddLl=L&mm5age=jjR>QJeN>bw7*| z8*WA_4Gf~yz2o|j+1wxKy?xd3`JVmBiE`^_uI5R?AuHH4r<+#u+%NAA!!m!aW%cKz zxl>kK5>(d$kD;TJcXGif=Y?7}Hr=Vfc0Kit&L6ADjAXSjeg-iYFY^^?r4AnlSh9IT z#WF4gN7#I3nBJ^O`c4ysy**gk=flMtK1|yS$(h;0RI>Sx zgoMxnKBegAqWYW96Ad+4qwKEX?V zbXBOa{5_~I=~Yz=olt2Td=B;C8>R8~<~lf;gJDI7lz z=EtdO9Du5a%k}LvD~U3EXFsx+ko*si43_SvS=?VKsWr(2aqzr&pLysH;QoBIKf5-y zgKztyn&aplL;5==?BaNt7Y#*<6rOWz@|%%nTOEq}ebmA0bK?J@)wLCp-y09-P{Ae{9`<}Xb}C)u!L|^Y z3>v<+zpJR{9vco^zc7EWdS{HqNBo%f!i(w~UH_YpE93m%gW=1dYpvikldJr2lFxnD zf49LGL!%(*#>D(tQ!~XsXd_O1HR*h4_ch1wsABpX_)3J z_yMg=$XME+WL5eu%gtU@x-rsTY6;{~n+YKee&w3-D(>RQ?0{yA$~jm0aF~li`)CfY zsXoxco~kI{>&r2Jq`oNjG>Z%VH@Nt_=NkMBxC7%^nDkYJp3ZR)H3rFq;m2&0w2_x= z;YhkZUqEfu4W%*X(adNKzd&0&Im(_*HNSX$kmE-hrxu!jWhlwUq7^02D9ZH;|AQ8; z4VT{IC*-1iGN6WgI@^!t(giTKJ^-0}?t+seVcC|ebTL9YOlI<(zN7)mM4jU|N^)Sv#I)%aVZVJVAk zrx@HfB$TKqg(b;a6qT^GE35J8QuQ*17)r_j)~W9b?eqVkk;W1U;39_Dn_9|aNUQb@ zc`lcF=I%%2KsOB1k@(A@143y|a`w_#vs`Yye{LKG5Q7~jZ=@4Dr?f|Mm4G>6Du&Eh z_I~WY9oF+zbNnRGRtsVi5>UFC^OL}w;Z%6Z`C&wNuq`=kh|i409fXaotSD7p>9W$; zdxZhbv#r#KF;{0`b}oKCfh}fHiFo3C(gox zvP2zVXCEsY0#PS+YZ$_(%5=FRhFXCzE!Q4~W{YmsO3svY<|cLZ;^F{QeK(pH4e~d> zaNaPsXmX5Pl(OjhUdpxc^Rn;&$@rLgYe%1U+y8@H#N+f(HRI`6Nn|uGGeI>)?x*gq z_}z?YzrF^tg6F{B(2cA>rW#dxM{%FrgjA`0r3_crlJ`H3#>y&uu4YwkV~?M3C4TrG zdfGAc!S0G>N8&Na7WgcfU5c3Il6c~J{{=>pDMGbqg?=ZJaRu-T%HIL9xE>XniVm!o zF?`adjhqkYRYJTgd1=sJ-73kj8%1I2_M!z>P1>_i*wYNoD6M(q=P<)4Gj$4SU z5{%jY*?ODG=|D)$xhH+z-yIha4WBP&JjDBiobe%-r+ez0`eQGTyuX*t^hDwzf@1Yv z4Y22>s)*GNKd5rP(77gL*kn(DcDW7aNcmupU zWw~^=%+vFdsW0Epj~WVdqP5}7!PdNvlq8%BfrZ7ngr9vGqSj5e_YR-Q#!o`kktH~} zV;oh3U0XrQ!!JG@bdZd3FOpoO{D=J<{X=M?rW*iM~gUuSxlmGD|eKxKFgk@rXnIc#E=_s@%*NWX+oQ z^?Cu1$h1@F6c;W)H5!KT@FY|Y0TC9#<(sc;WZE}17N|sVjhqy9$;HTGBqmlB5VFS+ z<@A{RJ0^X%gwXXkzmzo`>+sBE7lfR0ZjK};l+pET)h}D{s*O~!Shoo!!4+1}EEY%` zYf@j!c1G=HISm7i$YCcA{-s2=v63g~3d|?Jj?o-H}XW357Y)VTUT8EG?96-dz&$K&oT~l3d0~N zo7#}sMUoCw&}^K3SiXP62HjtL!p+EL=wG3IMQK1*DsMi`TtjnfG&2260v0yz3O|Me~ZB9tJ?j(+%StujDwl#7|qllsBK&DvBb=;!a~h1a}W{-GS4 zRx%+|YzslRbFNy#j-8d~Syqud(A+>ts}#r~cPs1Oy-IPcY+`G)z3ERj3|R5Ob>>!X zao(H91uUfQZt>sV*}R?FT{@g+U~bUW7f^{``3R>FhOk%_T91tst;}jgP0g+Z*t0%H zYl)JJreiHY>@fQm*j_z`@O{PO)H)_Nm zqLN6Z%Le4#Ln(}g_Qa^&JJ^eWUH;X*3gKxhZkMequ@U!+3H6U z1x^HrZ3L@Ia8VV;zsCBo5M-l_<~g=Q75pTiOypmD$v09`;W6SpI@xeeSoPq1O0Mu& z>@9r4?ZqkwNnTb`<2zt$>RaPc*wp8KcFaO=)%69N^7r~)!r|WjSp>XBZW~& zo~Xd9UTdBz9Fy(TLd?(?>MwfMYrl5{xmP%Ro<>cTGIx=&3ayd)-qQ_V%i9hix}Uji zm$$6D;4DO~XTLgOpl>{B!j!XpLBA8@zHSu1=Mx%S^7OGyOy^n%JmF$}VB=AtRn$

`rtA=QK1U(^!ONQVKju!Rc$L0~RaZG2?6$rK%rFz! zn_S|U(-jlH3lCx){=VgJWgNLCL1f)+u9LOkmtoJebYohN!p||hvDfgg4l1@@@c?h$@yRtH~>%6yIUZKTcC;`X7Y zYor;9);R$~*B-xzjO*)7uLDkD{0YMik6%U!;BS&yvf1D1;x^8n$vc_%%zF{mr!&21 zpP`ekm$b715%^j?0oRt4E9FJ3l~cnJzWsKKZ#V{9#&pX1*+=4{wiN{Oo5c5SmDsaw!ml_58r6~#Pel=fBF+}1bwr&2bFAz=e6-^xhp$~7%zHHm3^attQsi+K%9Rr8eTpFnN#n`*|T z;%ROW<>tY12;muKp(Z-=p0lZaHpMg1z`?HMt`g&b#2VG1vE=iJ-a4j%_;zoGwhvFv zN1~CTicC2hI@3L;L9fN%?-*M+URd|mdR3FNP#;rAJxqti7yAZN*Z-6q$|nyBQ;CFC zf8sTZO!h*2-!k4dE@f5kJ<&9&Ehd|AGqxFY<5@6xdU1Ny$M*C+7hLWThge_t{Y!B~ zU_z`Im0N)!=A`3E!c(AOaz=QI%lloslfq z9t5;C*gKLeOcIRPHwND;p&lH9tUlOXpw+=Uon*oYxlQx#?HTT{(K?5lX#n$M2h)B+ zDoM`fpz(QL*GxN7m^_3S2q?qWneHvq6s*M>YJzsAnktgq+qg5Mj?S{~R?i7araM)q z9%7+zISX*;v17dkY>Dy?v`;Q(QP z^bhfGwYaZh&vrwAi~Nbm$%FfMuLIHPNxKVMpNRd!LZ^mbjrHYll(>?b09YsrSdGe=V>n6gXM}8ke%R=r?EmIIZ(7y%b~vj<*Ibe0`lwwIJEBE z*M6Gd0=w}-v|q!%#YLizkQD;eWj%gOOSJ!N`o`+1#h>Y!*VAF_p#d zK{)`)B=g)ise$8*^(0U6qQDTLW{lV<@iC$x@jT%m_e#H1c0zytvdY}Qzkx^x z+5vl3qQC+6U%L}o!@QtTK5+oH^0)eUQfwR zT<1KwG&cyTDZe=BDG$dJE}4zw5&AJ6U_ZVDG~iVI324bF6ixxM9IHUvJR}frZYAMp znE!0D|MTObmj?_NWi9HuuP7 z!s$|sBSSj_6}*dbhxq>XLs&Ie;~q)Hi~ls>G)fMm+87YUXF*XMDj8 zJP&)yl5Wl{35lj)<5EysSl=SHO3A1c1Bw|Xxz~PFae5J{9lxgb1w2LCnH7wh|+UH%EP<{#=`5<_rE@Unk-9dBO=yoD_b5bY0Z=scPv zt3vbOopYP38X{Jv;pA!5h%aAXVONf(tR+OM;$HMf{Mvc-9q$a^18nkehs;!RwwiD8 zNl|}|_Js&vwI7$w>*l!gf45^?sy!&eKuy`o^6g41eXI!@sRV51LJKySHqDy_R9OUY zh)$@x3`5D@Pfc4@x<{k9oKDshG*#2*#mC8Nc5yB47A1X$r0@IR&EG z5^2Ne;?_Fa%hGORyVW0Pd}?gdI8$3Cy`5~RAOYm*xG>sLeZ6RqPM&afv(t9c|JR*| z2QSk{?wAd)ZpNB#y=WO9qHr6r9jshP314tNtO|`$P@?#mEeFtT{jrBSqOglRydmg3Clx-Me4B|{h5IDMt>9yM_%{r!wE844IA;Y^Zb{S zDLV$+ZVXvOTZtpOlup-{?KH6bt=J(~)%_IG8ed_zv`}o2Ac;`Uy zSG5Q*ML7C+fKQhUzojB&Kb{3BI{(a~@8da3|JjkORj5MS-q=G10(#`4;jH(`a;&Tt zvopwq|C4m7pyFxVk)xVB!F3)#%~TE+CJ~hMV%G0{uh+SFXj1(VK0*$mQ&!l}BoA@Bxhu`{NT+!Gb&B4m=5;O}Iu2U1KarH+ ze>*AilOsXDD`W#a$j+BURqvnY{=qZhtl$Wde;h`TB+dAolS0{uYe!>#D`yMVR(6a% zd)IaPT{XTKrGMbsE6D_Zv8wQT5nT(Hbj3%A%aBQk*bE8#%CVsDcOTbm=?B4gaXcRT zsp0n_r>#XMJY&(R#00nSzbroPt{~t7JCozbO`}qezD#HI`oobYbwNg=8;?@|!~QpV z_IEa?LR0iP{r71uYj$Y5pyC(%>4K-Pi5!zoa#kI?yd_rTGA=&W^GAlMmg@Z?9|Yp5 zxC8vwp9`ss*{($htm8ZpP3+d{H_7q+IQ2X)=yFbBkC@k9K_PU0kUeo>l{B4nf6Mn& zdx-N<1P;^8nRtMWbtax>fInyD`OMGL_1jw6G!t4)`QG}O%y(ZxNrU#ei$9jXs+%4z zlb?k$S9vJ(nP<$ObaaZy#dIJ8TS$>MA>{SGE#ZwGIdH~@SVW*q9zk< zJs}jD{PK5Xwm~&L1z$PYjV#{1;FM}{jhg1dIt69bXtcmzf4Qs0SO>tdmg!^yiYSQN zn#+QE(>;5=_juEsas*TpfAncirSJx^+`61kbVe8Z9^VEYP4$z!gSW7T&9Z6^MBR(j zW9g-~+%tP5Ox1}{DgF-ZVGF_GHZ`B}^*@63^bIq0q0CCmPuW#JKI!rk=F6zWC01Tk*9=P&P!$yYlxQ=itT#})l`n1lGD0c0CL&S4 zTVP3umAzM}m7j|_V$^ygR!6`>W%kF$uqO$(D}(bZCpQxhr<5vzzDMkp%z{x)j2c?X z($Xxn5?Rs@nLQoxA@e}3zgVTY?2}|A2N-RU^H;$v_3=~O7XES&*|pPoA|KBld1JJQ z&3hyHxl4DgUPbPKZ0|9`Awr6O3I!83S%f@)Tbm7)-MDV5w4;D9ey5RHeNS@79#7=7 zQ1<5NM~`&wHiuCS8IT_s?9A;MQw3?u$r^=&%5(v4pI{dB zCY&1U)?#NHC z+5rR?vg5JNv~cXrD4IA^>vfiC;>#~8{yl;C8xsjJ^7aBS0$k444qFC;0uH&=vD4*N zJig|ijNnc8<*9TrH)D@1-}ioGBtVSC7f*YnU<;@38GfpvdbRXNMKR<3j>=m#ZRs`f zU{Wb0f#Z=D^HN{VTB-9QSs_OFmv5()gAEem_RRMUvwA(@q{NS1XX;$% z@0i7UNZ6*JOG8zh?~3n610J7KiH=dEN|4{$O=MHUAK3Z3vo!6;o?JOcXiSk+wm}K< zO5R6CKL?Abtj0M-;gTXKhR#A=EQgs*MuRVs>>iEBjGU=pF@jl#q%yi*oGlbdk2Wb} zwz$j}E@U)?G!hHReshLS%9(Dl-Qv4lUva}$55eI7h?hTR$XC;l2w|!@ky+F5Q>sv2 zs1Rj|5js-h`Y+f#XWfz9oD0i8%78a1pJKYs2LznVdMxcNPd83)L-uTvULEOA*l zUYr5lvw2G^wA!lw&iJNN=GDj03LZI0>qd>Sb1`6fPda|&t`=<};Ag(~(I4LV^HB*} zXB@@vnwq7Nvv8?C$q3`qUV9_EXZApD^38zduE?L*rWq1=DD;>|=Hu7F;acT>uD@qp zi&T|ySi;6$NqUqP9_v)Ks;w#FC!qU7zG(#k9faZA<1Y(AN`_>Uu!PumwchB;ZO)-f zdzF2aVI2=2<@d?v6eDz*y575ge>|PfW7xD|w@MHsb27Z%8GJeI5Ju)7ZuLH{${?df z7Y4}7bE{^ftv2geB3z8jHdK;ic0OKOwMnefoR0l*mgbmV>ZrRw_cB}7Ux4dPS5p3| zs9#s7Bl78{gd$D@Dzw1EXwUxc3m)3F7{{*csMIcIeKbCqv(GIIG;e8c4Cx0ouAi@a zsY=D@PK7Zu_Fn3i=u1LuJ&CNKJd+7%NWeZMR-%5fW z(~7T{iLLkoiO~Kan?3~WEIzc-Q7{L~1*#?3tg4LQkW0Axggb3Fs6VEzSIZ_ipf+z5 zBsvY)>*X^&0b9(px18QS)TYtK<9^9I8fLKOg98B}Cku6}SBKjfcDu+5{@L$>Wm;2Z z+fS+!S~nBM(tm72KcoFAx&Wt+8v*@?x$t^1h^tQBtmli`JFz(;7Ic|yp;aUXIhBaGAm+q;-*b@IEoQoG( z>Q@i8!R?)`x4TP!Whvr6W`I-P(v|gQ(J+U@@yE-ywpn`_+F5)D2v5aXURmy)I#%{YTIDk;sxLQn$Xx>oS!{fA zEu5V$Q`pVu^3#Gf*3c@3$=Ud!M-ig*E2kk@B2MkWV%@1HF+I*iFmL({&Ufn=Ci5z4 zK$|?`XiAAcM>Y)MbdO^cDEp&yF#jUJ4@_m~G_%cnuDrr}-qiHC)gV0TCMrKxKEW@t zRN^lRMlAT{3uFkV-mk_$4Vl~Rt#l{Yf=Ex7U$-)`tnw;85e%fCYTcnxd`CCVn0ZQk zvI0(p_Jt?6`3_clb4Ke+Ay*b|RR?S?y&?P$A#mcw9I2*+G&8@#elKTqW^bNP=$5@kj)slp3D9gYTW2bT+ZB3P%51;%5Y`u=F zEKm;hb6Yc=8I&9Qwr?|-}Gb)(JDvskZ^|0iN0sy5W8qyV z`0Ha|2qi%I^71$I!t>*ziPE&C+sLwCIe9`u)^o>yn89jBP`+z&G`ig*o$whXuXN4) z0Tst-gVjz3;AXc%L=`*b*M=>(*I6ry-DETT-SLn8IVWV0Y=B^gkaWk_%bQz6se%AgE?EDS23z_zcI(@`l_6aiQp+YhO@~SrfDRpe0{^@&Yp{%7 ze#JI)D|y`->-s2JcP!7fI0oQe;;|qmFXZ=CESpSRpZH`^+ zsF##I7SHD6p?c1V$e+X3k}@GHzXvUqb+h+aBKm(sLxFcQMAa(-9-9@_%M`gBw8JWL z%aA*@y^vfx$yF__jJ~oYt4o%*5Yi)9fx2$n=gd+Rs2MOD|MbHO?&W_fINHz9c6C^q zKpwiYcm)o7ssS?bvLkFf+biREj}ybfIeQFGQt^;>;m!tT~fImw_HCOw|2&m-@? zB~ubwK>Xg^(omT*xg4vNC`DbyUHmM}PrQk&V=*qt1w1$~sN7{DZ(KG;bxPHP6bryoI2(#AdT;FJa4vK;QmdE*?6w(H~bj9EWJ<~y-bQK zyMfr_bj1Ir3H`Ryuau1GnNi(&1Ph+?s+T6nd5*n#+7C~R3{tL2B2%zkfpdSgr)tC$ zy&Nf>9;U%@?~6`}B*6g}E1ktB%6ykw6vlA}lCZQys`ZhT08!Nx`>lLrAIfQGo_yFy zBKg&yOF-!wur#IJ_Y&Xe_2p~JNdk;BwAspM-Z5ESmg$%fR`S@+;?Gq&ns&+~(JTja z9V%qvdqOZe?w-K#(ry;*w(Gk9x?pyFE!ybkm^@LON`vn4#Dk06AalMd|BLx+bH4>* z+4Uz!a>^;|_&w-`zQ2zPsK{mB-w0w2;JznfBeS^+QG686Eas{(AU7GD`wR;YyP?Lg zZbc75B5^roSx*5_6R)?|0&7WCo$8*4nZM^D^-b0=o}&F-DBpV%IKmGvR6_WpIvr+J z49bg_AE8Xo#_z;H6A~=H8*`s@$gthjuZtx}X!V7GF0Q~1!Kb(Ws2rw{2y&TAOH$vi zgDAz!yX#qGiB*&xS0v&}|CuGWwc?l`3#+pBm;BE$ZNdy8$a-SD1p4CdftY7x(;lr% zml26eozWCj1?HXYON1Z#4RL-PKhdUt%zZVS36h1{({iC3Pa3hoD94V__1t0%oPL{d z%>(y-n&r|Y9%&0MgK~P4JObeJ+MsJ+8$Y)*lUw3)dSYt7R$E~|GBBz2OGuyL)E4hz z*Q<*=73smhD?o>A?EP`Xf?QPNWA||*GH3yc?*lDQzJAs6O100?!U--jn{c+fsS4fe znEmO(28K5xok-y{8{*y3$$N$s5-=Xz=2tpJ_ZKK0vZx?FHl$+y*qXS75f3Jh&?~X} z5oJy<;b3`oFPsu>PfKrcN?R-~4pPCaS{p(}-%p`ff*|L81nvt}fgZyQB4wME0Sz$pRfF`uo!Ze8+Gk`At`w&Ox zNS1b*a3-xAy$56aodmi~PS3}Yy0vlXd$BjBjo>J5#u-hyqkYoFwpeM7xIGifRr0C8}3s-Uo&jMh;l)Z&f!u~Bd@oy zHaUW8wIQC~^oN5t17)hKZukNBY_i}AKy*iS23BRZDVGJ3~097N}5=6yzA8o$HMsj{b$)+zLXCB#tgDTqrL3u|D6c75EVXu#y#vYlkz-~Z-Hw#X0|~T1A+Q{? zPk9mrpiYFpj@EPX;Ejsvl&E{*KY)S?(B~y{Gj?ndLaO9nfRSOAz$w&3DLiM)HpAP; z;&KftTO)TUN4j^>-c_r|a>bh{xpYswG>UTGM`bs2G{ON%qOL0gfQKm>|9uhiIHYUZ zpJy`oM03yDofqpLL~igfu*uXS<*P|ZMEXwBDT9$k(Xu=l9xO}YOHOqY+LvG6OcpLE4DO00-&={@@8Msnp+uEM6r zD-gUshgbU-JK(HI=qmaYakUQ!1^cW)4zSwaqC(a_N*Gskt^Q$eE}P%K;4cCnd^M|f z2zJkya|H9qvq*=N5`0~DnE*mG%uL0DGm!lj3JtLcb#1MQ!dyPXS-iKMP%r*(RJ`Dp zA;QoViEE|mvwe`EG2}OmkOHC>lWA3fnYrwEtoIP`}zvq z@>o5#S(vT1kEyce)F_mH%k->q|BKx@)Gr@`{4V|63bwjJJu z`(&*8rO(kJ&g?ITO{XVq^!ScpmGEp#(fiy#EL6X&9?)kyA?2(8l+Y6+*c&XmYwj{| zzjn{=ELJUlcrZUC)w&lnt^fEE^?4Nr`142iy#-|N9ah5KueCe``^$=-^jE!Vg>}n& zGDWE9p|(u6_T9=pvKB*>M8BhHtuu;Kg_RFBOYWX>PE_ ztR70doy{5E>S`+rDc$olbvB?N%)AV=Xvz-*1&gfszesoK1W4T9S5V^yz#s<*5nbZy zVdmhTZo8}3iH?yt7~gTTrjb8kViva`O~g|Jc8rScZFokASjF1tf<6wS&!nIrwkx$p zucA3`UM`~z6ui1>2WV2)oDiMc)mbPR!$hpq7`xMd=o>;9|hu1+!5i6oz zdzKcn7T~}%qCguwjz6+>ue-PATIw7h{{l^-XT1nc*7;z)+TFjp#)w#!$12ChQaeC3 z6RpDX@;UExBfsV^KjQ^o?RWkn)3$Ig+eyM~Uij3uq%OzaYrm6eu=ov>XLRrKS4hMS zKo6+}(_u1zo#l%*%C0%Mb6g=SQT!U-yvmo%_PfSoD?zi~C$K8^I~oVVeLYsX*R>tH{@h>X5eD{W zp5$ihou~u}Swg%8UhFW^JH%-|>5mSlX+W9drzc1&kyh%f#h+ie_1jQAdKW79_s(8` z5m)p%x=OC6#5I_)O-^8(4wq{qHU;M%@{VxHL5n?egVzcrh>)>^q(2My&0faAy?a=% zkMQRR^}xQRUya-RjcEx%nab7wa*GsLz*Ny!|QD00xB-xTQs_FP zt>Z!xt=CEsr!^1ZPgI|QL8*??Wj-Ito*ar3O39&)D0Ez!2T1RF56eIwg7fF17xVYL z^$rz-xo|KHYSlrALN%6nDjwz&N1k$>^MRjhwiWs{u})oStqG16{3g4Ok2*4Q54zZz zhhiQqN5AHo15i;3^_9~Fo?4F#JJgxrQfv=NpE{e{vov)YuMWYtB@YLVY@83Wt?o72 zgJZIHqX*0tFB(;F^o|V@y2_VgMngFES{)zcM(5sY(XyqmrV^WbzRSIO&?0_v|Cf~O z%3kgDyUnil?qBA!Tw~gO7k=&i8euXe053!4Ttuut}XS zX<=!$Cqzs*V1zbnMSWFwx9>bivgJ9 z;BgboSJ*0zr@L&1_+lS!=VQFlWzdwP`MQ(i8(?T-;K}LH=yzP28HMJU5jo*LKgklW zsa0n$8NQ~ef(N)KUA=C^4Z)XX-|M8i1a;2b192xK@i+X&ArCNiCVfRV^MJ#yuAyny29-+_j183YwDv z!&GxT$!HHQ+%!q-R|b4}&nl3BEkig8luq5*<+%8~;;h<+lLu{lrco7-d}5?vb%bg% zLC{OtpsDL+60L~eGWD;=-*L z)3MkzC<=3C;4LM>U(Z+bAoH!o)F5?dx+B7=XrCpzeU0G+ULjk$?^~q!u`|k%^OyIZ zwUdT)*>`)4mqI1ouj>)-$&mE#*+U;;nsCXxw-#%YFYs~oT4B55WT3yp-!}g8m14Mq zBxlCyWZM{huUg!LaEj!%=z|2_P_J{EX!zQOIgP0R^768<^%?@N_GVHJO$_H0<; zUq;KbDq>{C{;{-9Gi=mD<)0VQCsuNicPx7^<$L zO93zbTs(A{`$pXCu|?v4JJO|QoM}|>#J^H^5U5|QFI!>K9V#MOn=j(5%UKWp9m)2; zruv^pvZG#pDK?EE1}N$oU7}%P*C}V>xOQc36<1QT_Itiky;#2dmw(mkj;Hh0HXaqm z3E5I<&5T6i;vYTy zuQ>4cpKbc+v2iA-9h&i@IXvpcu|bCVg|I;>rF{2MX`c<=;-iRb^fB|}7n%PZMOZ`S ztI5%U;By5Fz#XIMaZ2ma+c;fh?f8VPPqEIX>3_!+`A1*W2*?;;tV}Lf=h?A$ng6Iw zT{P3mAN7c=LfY*34C-uU|I3(Fb5@Wm0Ouv}kzzlk^+~AG%k?>#!he|wevx_Tx_e4_ zCWp?fz?EC=aj^0#S`7SeVMyK)2cIOT6j#w|d;3pUozM2P7tD+FJv!&4Dr}Zp2J-2e=Y?YuJI*Tg!e=8cqiIeRTqk} zTT46s9It=;$G=*NQIE{^ZuoW@93`9hUjBG}yr{u#9NBpuSyL)|8*o|Ue9X_s%omq4 zV!=7l-fcALDDskw@5Il@qnpRHNBPAUCT|U)P648ST=>zK7=rDk^;5W3h4b{~)$*0k zuE&5N{LD1n`KSB7^!!oLQy-O#Zx2Rnw$3lLMU$FtEVRZ=dOH26cWy4?799*SMy!u_ zX`o)HiEhPnUM~%Aw|~7;5)>m%g13)c+qw+`^e7haY=ulewOjyJFd{3P(< zI@0GhxEQSwf48tF2VTfA+g+?HrM&8(1ayz-m#T*#ZwiaAb-_3xi~eF6^{)cA>o{E1@=$kR zNB#N;BHF|EqX%9MX1TNX4Kg>M^mF}#-$=p2zGW@O&i&g~TO|0{m^0y8fnS{^;4|UV z`76YNujN~HiN#9;B!Aue%tldHtqRfC_xa4>UFPIbQGolVpYv3j7a?#Tv7hU@{{#wOT&PEydN<-nmwhi+ zyF(0JUi0x;;W3$t&rY;GT(QS3PvxJek3ehEP8ueeCmnO|03j>QlP!Cw*mImji*^-jz%E05a zwWXYlkV#1uI)e+rX5F&y;OMWtuZ{t~oT_Dlmn3!a%Q2*#TmHuj;6CuOnz0h%3X(d9 zxVFTt_xy7o_NY_4dryA0GirLtxJ+&U@PS^UZNVH}b4|jFq~Q+FD~!0iNtZ*8J7(xv zbQTEPwbJ#@p&A!oHm#Uu@YIaN0i8AFhT~U8Wv~3LRXn#k%vbxb*J_e2ssW#V8`>G< z2uo#y2gKa?8WdP~TQC6nEr16jr<~>A@g}GdETT#{_d6FvN08>4o0t$?WbaFVg+<&A1SWBbxW|xR0Z| zBinejeZL^rk<7I^J5cAPQ>`0D_u^6$!~KN~D7^)EmWDhk;26909yf5V-MY^C6h~bQ ze!^q+!lwUo;C924EEQe8brnrM-H#VFd43_mfxH)S544SAqV2Qgo0-~fA8r>!Qb@+i z{;GI?FTw1tS#V6xh+8u(^e-T|rTtc`Ax zeGwe7U1{!nL&_cOZrH8R>z;yy-GT@^$kX(y544x&JJS0>a-CBkwC`02F~v~Zrzxi2 znT*CG0o|F*^Jde6g+3d;0N8%ZS|;F+m;c21<*7CjT{4Od8+z{f%EuU3o^JQ$LlZ~K zuAxao)d?@oKi5s3)ef^wRGeoAv9+w#y8%y`QR-;qEjulJ0Td(2bqWrtp@u9zxRrtt zvte=k{5yE6x0^fhnL)-7)cuanYJ%<22=!}c5EkJ=>e?%W&L4zs#`EeZn|*D6=Op7> z=Pm|&m5C(13Xh$!_bw)3)!_t=}a^5b@%5W{@V~iiC&c1!N3N(Ss z9JPHWsxlA9)E~a;ZyoELPs%F|e74GlL-c=n5fQvwMc_COfcHfUS89ZthEr(r|B&S0QQrV8FpyttT_IIP`FVXYL(nNY3ahZvoRA3# z)}lUlAirH|3K*IeIWsR;Xkla>s2G`xdn2EFJN~NtVzT?*i;4e})*r8cPKG^O#2%AQ z|HX#+4zE3R&fv>B+JD)-mO_|xdW)hBR)6%l4Y~A0YIrld?iHJA0{L60vT$kqdx+h& zt5jr>);fSlp`pqqyIj*fr4|Ak@KR0imXlo9&C$~}i}ltueG?CGhNX|~WaICG)mW71 z0u0N*w#DS_d^wZem@^_xD6dd0qJvm4U?0AjZ#q4(Yb z1PHw)0VE`Wge0>)_i*kxbMMTr`7txk{Ts;6-uqkMx5~TL`*O*vFq+QE{MR6S>-1TA zVI8-+x-h{f#SUBVo{Z989F`bs{O`g2uRNu*0!S3jGMI?FVP6IX*PH*>6JneeNHXH? ze>DEFdiuM8gC_ptumelOqohm!@!p=x-LUQGrDNlC7UXL9!UxqhE0HYi*5sZ4(wga% zn?z%=|Bmj%v((@x(eM2JGjhM-4OCHVe3*{_N%n^FDMC}#gTx~3s?5{seWhcvx35Zg z%KKwP|HHw4DFAYhngyIvYW1L(U-ftsvayv}5d@|3E`6DQ`jy6jHO~xFnHzhk-h|bm zs;hQH;D6bSrB{L99{BBcG1+(gKAWIZmEsjhr)<*(Np!O6CFKtFWK%1=APVbIpvA!h{WzZ+; zW@9ZA?322Bvx$&j6U}9C%cnn8im%VMrt34@uCeFy<-uhRrry{}K;O|OGIlZU*q)p1 zI7^+IoaSvkL{$E|sdbwEc(E>EG83s}ycl51P(BYv(y@`&ImjYjDN=q-66AximwW(a zqN$MM(g%m+fHpuFHyEQQHj*>MQth&-iiF{qFp4JReXq=MdVXg$;W)Jyk zuFSMg6F1sd(#5+sX3`Z_4Tv?}(l5sNE(V#SC-opfeQ|$59!`nB3DP^m+1I`P%N6VEbs^; zEQ%r|TZ8G@jn~~p#ftq}jPxWBUe;RH2(pM8W-dYSKJiYM)wa0Dt~(Ckd7n-Yv^Exw zOibZl1+j^g`qiRF`-*>w?0&$Ad1Y8l3^EqJ@W}SL_Gg~1KCsq&FQ>uXlcqon$8cZrLwypor|BeY=P`FG1mA%eeo4f1JAVc(3+7C zB$^PiR8d*4qUkleBv`mL`>`+&i(1rPUr9N@o^d-VGFb%KKi0Z7KasByX<*tH!&8AQ zZoIEQnU8%mnWtt>`)t;*alYCOEv6kpe>VvJ(Em7wT44qvlv$^ox;KB?;?ydYW|1L4 zj34nyY$)q>%m)mxM~5mU_2XmAymuNSv+CB<&a>e%=RB5OTME%tS_a<4Wc&j_cp5xS zCp`Nu)#u0`P*k2Aa)<8l0s?-^ZRmAj-2ZKqm&d`M!Dxi#YASOCxnI5UTLVSp6@Txmg$#30Nk#(bu@Il>M# zT{Q1c9IJQ~Hc-1p-H*h-eyQ+@Vy5Mg?c^EIZkU1^D1$PXZfH42MR)xeer4F)%z zS`>*Ku8b8rEVkm(;cpZ_2bLRmI29NcJ$snA4`|vZ!q-7Q>@~a=cI*&`J*lfL*2#^y zy#n$pcfwCfK3rw=DqWh!%|fHtIcq1jJ#k)6RD|cZ6NZz(DGk3 zw~vK@t-Z77VF~_ot3eXq6Gqr1eZCjzr9OJmo0sEq-uj-9)%aA3-_6XS=1+`wAi$$@-nM`ZAa5tt1{$dH|RB`Bz_mmkoSLxyE+w zz6b#U5*Xo2Ux1RxH zac}II3zNssALMiMg~O#F@l!2o0y7x6J^rll&iLj@rsr-| zO)8kxN=b^;pi$CfK5DD;@pv(wzXZwwuiT@o|4dT>Xwl;RMY`UL-}5yJfJg8&Q2_bt zez|h3)3$->vFluS&sNQDfn=jFL<D&UtNQ3@}{QA56_X;f4INAVFqDf5Q%8&aN0?j{XmDT1`KvbEnuV2#_DutkCnb#A9oVq&61PR!*csp> zI|KWM!Bi+A#3yH+xCjQA*w0ZX)Mdiw;^n^33%~pK!5jyi2kmzEVvoxgBNyWYt<7dT zP<7_vwTDwr)hmCuPeBE?VTPc?0$vU_TpENqg_gw1Ok_s_j2311ZsM?XG=E8 zB$%jg;Ck+IBs}YllssxS4unj>NPB%lZC@NyeYc3L;GTdsMkUdX;<_~&XhFg`hAYEE zx>Z(;-uI-~fxXy(0wWCKt5p!;UP-Q#PbP5(lei(ND3XvoWI3UT zfTl<5@WZhaI>(XE+2{I3nAG1m>6=&og76{v%}P@A;bMZ=5f;5m)P!zGyhF*vh`e@7 zz|Tz9yR^7FN-6L7#3>2~s={uKx5sjO7kfW^0(zM-H)ma8a~pweA11(VO>9|*_12FQ z1X5vKCa2fi(fFy%q$+zqW05O;RLMhC2)Xbwe$(DgTLPdV)jnV@3@Ds4NvXP&DyB+; zrhazS(3<(aKY-hFq5GAYWDgnscS8Tuy=>{6~CN811CQzlQII)jT8qgb6g<&>+b zZ*wl;d>4QON3gq!xE)R^l<3!u0um^~#Kn*nA&*_WTPZCJ;4dlOy^!yiEAK|)G4$-n z0y}&&%2892kcd+t%&rpH+7=w<8|t!2-i^e!v(+KjoN}XI<|jJ6OL%ef_fV(D^?d-;E2V!1;6!VNgtW zd_K{hm}o{WpZWdjFf_GsWSJfDT+{crPWm_HJ7A)DJ~mc++2M5pqdjdmx&~qM*nF_m z(WL9cfOp{XkvK{o(u2Kv<-Cn*sZooO#^`ztV*6t7`qIefa z+({WG?BgqXqHf|`Zj(yX@H5;2yS#BqK4jZ*?L>Z8x7p>q9R4%+Ud~F!!ESKTJPMRN z5xDB534M>CXT1Qq*Jp|L>*=^U@Qtb6z~`r_UGq04ayt36$?H=6A>mnvD9g%~v<;D- zL3tz#kU>gPju;_?tv>WZAe)YHbG~haWPMdi>mHzatzEGu{{ge5q++VvUsWYiZd#l2 z@8CrEtn%_h;aSt-i^ofn-weoMqDr8hGjSt+Ge2JXg{UbgtgqN5Lg!GMd z8m%;DGoA%45&6ROHqAQ2*_N$%I$?3dvE;EyW-5<-s@k0;QF(He7=T- zhFWxl)b{BD^+({+m?=73F^kma{Z%b}+aW2uOYNr!SPi14sd^!VqiJ341$jU~)yX*R z3R`LZlk!*7<=%jHExX-Q=>tG}V;YcfVY{xUn8C!l_2k|_WcOL-KvVI*k{T7}8zNzQ zbE`9dI&`BPnqLl@-rh?&`v!MGlq#LLpm55=w++~hpSrd2t;KTTtRa||c0h(1aPs=O z%8Rv!?SO)kh@j&L^FXS*p*fyFJvDE)zubtQ@4By^TPsWKuoGB{U3BDpfNyJ>z~hu@LpW*x)$i5_@x9!K0_tiD*2Q(L zXU=b!7hJNEyd$=s9wLYh%(h5=HvCHxecEiAckDg4lK9t0GZ^BIpRw%c%VmJ?HJwqa zzMJZkfJI^bdGx9U^g)#tWe)Xiv`XhS%bjQQJ7GeV&T~clp4)4F!20eNVkh`Za-M&Te!gI&7*;qfF+cxk?(2 z0{kkie8bpwZ#6O-xp_d(N;N;m(N>)zjKHA9AC4Zs>AMW0%E&rhWB=|ta@ITKQluZ0*BW=8;eLLl5MhA#v; zp89q;XA$7pzQzmt@T~7;)F?4Wou_Lc{4{&bm3 zCEZLJu2!5i;)Hh&+<}HBlwR)-JGm$lr@vcH?Nz)d44Las@NXrw8@wY)nK?bQG zIehn@mWueiv0_?P@;!F zaCYO%WsY|#t)V6LDqmhtO_gP$BjEO*^kPMvmtNkz%iHT@NV?=Ex>Klt4BRaP!oQ`- zM$BMhw!CImI-7{878i{KP*h>ns~5-wwM{u&Pd*UjV8Ve#e~F z`PPgv<}X}FOkMgdER?U&Yyw~Sc5VmK$J>Z{g&fVY_Mm6A)KQFq62V`1^h=u~#|vlt zxAc?+>EJa|BQ(qpuGn!X+@f!|^gzq`E!_itAb2_Yoeto&KF1DJfgZ~_Z^I~Jz)S_Q zgm8=fsxBuzY_6a<*%em@(I0?dL|vE3JOWkkL7{LSBK~}`P2<0i`|`- zI~9-W#?XP{{&IxBo#2yp=w>_dhbj9fKLAWS%KkUL$m7i9*9&|}wXyt=i! zJCDEj>)yYp1IgI`9`}#B+y9fRE2gmk`wE?^Ez4XUTpYMwGWG3t=yHs0Pd`wBLuE1` zs#g1A&Fc<>nB>j zYohIU!Z>1UMaGVLqq%KHe|&Q6Gw+YH6&_+ZhyW@rbjTU_twyw;Dye4<#SGI7UrNlcc2c6Q{K_7)C4b$P6= zuG`GdK3O!L!@~@HA0;u|ap47|Y+n(Et?g__T*(htAVqTn!E|g^Qe=^L6~s-63bTPN z8;(yqdhF^%tWQoz5s<-Elw7m{7$XyEVIz*P5>V{^*9qUV5go^ERnPTqfGYVS3y#AC z0}W~a_AU;nIgsR+`fly8rL5UQ!z)c9t<7)0`hGsv^4W>y*L)IeHK-Y6y>2*bmCr}) zT4KpeVf?5rZsyN%WEwKxsjuq)$4Y!D1XpF!^gD3K2fe%suPjQglpXE z#Z0Cz_qdI#6rp+C?Ow+`_}P^#XdV13g#;5_pC5=O4??>?GjU%Zv^EC3wd4V0YYVv? zb2stoa%;EyJh<(R)bcg4{oyv!9fY6ou-RZzij6bWW)ooNJTPIH`6_=MJ)}m9P4GLC z?8U)Lz9Qrnm-98ad3bmRf@_BheM6#1dpl5$cL1|?qJb}#PG}}5cp@LYiLx`(s}}df)bH*D)vm(yy)!2Yb>JZ} z2(Z`<{T%CosJkW6TzZpyiBk5(meV<@;45~{?HA?aPs#>`^}L$%B5GsS85m{2^i1Z^L%D?W5>ViUzwZ@&h@|(=*DA$j6poe7zNBbOpKd8%Gk=yJw zZ?aAMwlDHRkb{X8bd6PSQ6xGy^|J?kd~K)?Zg+Llp9LKab${y!4VYMTUhbrx9x00W ziK&_MYGk+;7){VQ*v#SJr`po>Gt3D^0fIZ{g;tNNkWTTy@yH8V)aU)z@d)|c3|j6y zNc-_7xn9V%7fP-avdQldG9d`)v8x5XYEiJQnF}|tuW8_Y*Bi^1I_JK_4)oAog(8%s z$VN0@E(=LuS2%gY#7C_r^U<*ItE7-d;yfIzOUVt6vAO~#x!OZ*f(p`eS+#%~taR~7l5dR1OoQmsR6;QbRbUwL$cQ>QiO1)c^(d=<@PKQp^lu~W(|$FjBiG9QQJvrXE6 z6e|ws1~3|9~Jr~FjA=|PM98iIn19vro4O?QQ-Y2Sc z*AE(~+32kM1emsX--&~{(PZI)0KMGiuGt>(l~QXSv?VJh7$zQs1yj*A=SoUo{`4!!#kF_yCxp?N5~{JsKYy ztn?KQift)hI9v=FwGB8dOySllUXsC$y%FP{{ozL`v2}bFH&utZt=UFZ0YoEh6dNv) zhJ$b124|DN5;KSCJU#=vLC3hBfA_B_Zac>5>A&0*>iS8LA1O;vqM=SPZZ}pjelOBm zw5}7Vn3hW&0_{5k_caSqR_rmQ4ZOD++NoH9f<t|ugVw)?JX+UAuEEeQg#PwZWWc2XpwZ3B6{=(g1mGF|^WglC0SRQgfDOMT< znl-vr$kU0o7|gsktVYis0uOP|w-hc_lJYC`#H<}yvy0sDH59}Ku!3i#(_wn{joWzS z@XznNSf&q}MXCdau8VJDk@i2Uert=iGo}PnPlXH5ua#_u3mf7DuTb0x)5Uq)R-k2- zs)<*%rOL7`1+A(Q++iAHb0rgEG}nlp_BEuR_#%wtB! z+?D3k?1G5bT-w@(I1BEKX-fd5b+v3@fa%`#=_Lz}kD7U^6Vyh4-tEJ~{M=86y-eIT zQtnOlUDVfxZ;AY1;?-|gD!7yNxwY|V+jqQ}^il|wlTMb%uvUM(;(v-ju-%W`{xoPl z(i*hLFNoCK$itj_l{cE@E1h=;oJ$7_Dls&_2ky;7><@d!hD3z5-vLrg_%0e2n}lJ~ zf$70Rv8C?JSz==vl+PXET97AaHQ(@)15Sw-?@{m5yqVw2898e%Yfv;;P+UI`3f%^k zEp1k51H~}Tf|?%dvDb%29)n3bWZ&Uj6%#EJtgBkHHo)s(#Hg10=D2h`%X5Kp?v}fr z!*M`X8h9EEc*%)b0!+77I`^kP^`VvqU0tQPWw!M5mgIyRHSQ;rY*Y}Q;rb5+{N}|$ zYOe<(5Z*iN-0HQZ43Gd@+RG0%tP}FC+Q_hc27qq(ygR&u8I4&8RGP|F;q<-oqgk1R z(a2TiI-g`*gBaZe#E#%!S`dc=Yywk5zvdOkuhm;k>|c1Z7<01F$S^&FAfp~Gg~i~j zY3aJ^X5s*De18U6jVSw1-VgNZ$EhP|R>p0#2OKrVp+*sR`jC5UD~xq{sR>I6#JQC)|C4B zw5wjFDkUlQgqK17YbQ0CCi>N)-cf~Ez0ohwWQU3$$iuY6vkwmtev$ZeJDc!^8*#L_ zk&0pn2vK6pa=5vFXLd6bkP_{_j9EOqC=b!Hdlk=sIPmJY80#Ao>fSf zJnoGCKZo67`qEG1tfM z`J~`Sht39mAvp)Ej$Vz0ub#NuNL=?>xUR+M5RNDWK@Un5y0l8OZm5_RvkgB_*R_d% zN8_`V1Xmi6oHk5r2GO!;;$RaYiZ zzpw`;VTV_{x=$H5)>FOtwcmMf>x|ublVn8AF*;685t&z4(~vEpOlW~Vz^NERS#lVr z9-G-M0ld-PgX|wZE?AjH7|A9J&!Z zCyLoOPp(fH@nNo;J*7krNfK-Aw~7ElscFgG6_uL(NQFK3^jcye3+O zXgF431mZe(iZ>mG_ti5y^C^-Ot*jK7h~8R2WFszry^SGAE#Eaq*E|1H&H_N-KgD_F z{O=y&{-?$gGY3-ytsw?QR&G>P5HrY(Ax%?4UCZ5h&m8$tn9T$s&cPdNo=c{pF#8n;8#L&;L3p4C3I(wR*@%XP6PvOHdpzLwK&c zvRu!?XVoH_=zJgllwq)5YtulNB)GWGd4{r;uK5akD99C6{J7g_nGT#ViXH7=R8M7F z7+hera#k$hD*D{Yg~jG3I6fVCIdNY-d=w}ej8Eu4K-G*%vF@$~v81@+z4I7CH8Pc3 z$_Tt+Jnn9gCrP%;R{I@iOq;UP_1MJrN)v<%f|s6Bb8ICd^Oc@QS5}HQL0?EMlSh1q z?;%2-6cqLb)BSv!7BE#90Gq;mmPkq1D(FnN3QFnXmif<2NWXBfzn4EdK(jN&Y={*?*d1;IIlW%a{OEb(fX z6MIt58U6G>OB>SLK!)Alh)>~`|0CB0N^H5=NzbCg{2%p8Qc#>y_nu$S+-ScH_Ss*A zXhO+g$=(jRHGk2MDjR;|}bl3QAS>_B+1kDAkYb2^?o_BXr?9s4Rl|2z>bvnXTknrXS zR)OVrj)gY4aJeGsgLXzG?9G&U#)PI4A}1IMw9N3+iD!)DxYFIH**1QSdNGJ)Lm{;+ z1>Ol-`t8is_*VRER%l5k1gop0Cb9}VuR0ec_*zr3+vxpuXj`@)nd}|lx&t;xWjGL^ zhnPaSfrIQW*7Nc^L#oBhML_1@O|*tJ(g%oPLu&`IsaGyznet{b?p7i<61@wmSAnYX z22o2rtr$6yJ6$hF>c7psg;#z1)5rbIeJ%az4&g%p$xeHDScAX`>vRM+_e6B?|5+sY zm<`1J0z2GV{{riqdAZYmwd~U z_W`J>->W|1lczrV;e@I>hpR2zt#k*<29#$h&(R!uy|E=0Eo7R-`C0W$Zns3V1PPr+ zcI3M#P!q0KYbkdsP2*FO?O2+oH&0gg9m=dW^4wC-oF1uf=XWrY+Hp^0>(0`t zV3rh7H>#>Ko!QT;_89pck!o1(tKqCP&?e|rX4NI=eq!gxOUAYn+JN@$n$^eZvUI8Q zIRCf+{yBH5uK)-&EgEd(`>ugeQHU!a^9L%2duaPUioAmRAJSU zzu6cd9*(-E$85*?K^89$!+l43tHSfDH)26xv%7W8f>1U=y{Z#|dnEiRp47)P-aGpV z-*gcZbS{jihgi=M+Zeob;Eba0t`fK|OmJ57$s`9RpskzZQuW6iqB#wuKDJ0dZb4$g z{;YD<$pFP7_gVAeOaCfM8K@e?)BffSC4RE}@?F@wfi-0rS-kc=fF{TF(8x2nfU|FTmR)~mKU81M5zC%O7L+<% zIYp_rnlETN#Ta_#-iS;|MIzQnl5WmDY2!S6DCld__|4pAmjm zUAz;B_pbk~F1|!IPgw<)Zrk^r7kP$3^wGBRQ;S?;iAuS~Wme?10JE(YdKypcyt?9i zJ1>jiaQHK|3H^qRr9RTxp%(BlVkW(P>BUZwsJp>qtYzvNC{aO*4e0H=_Vj-I~1Oo#%A3U#BY7F;krvmUq3Z(jA(t`C1Z3BI zf?I$W(!h(3f!GT3q4Hm(LHH9_9`tSN_`bOBVeK@06RiB@X&`}k;Z6FiJA!^cu=rY> z>|-r`d;Uw^Vtr4F(-!7o?zx<%vrJ)@jervzAwgCrArIWr;u^QM(Xp0w zR_fQc2=?Px`>E1-27%1%Zkop$Y^t1e+^5xRvmBHJDVIgT2XFcOd`OwF@%Mc9S=+Pv zTw{rAOJqYE0e9b1s8~?&;Y_52H|}gA(u(N2C0sg~%=c5VPb0J>p}-%%D}yI29L6q6 z>HNy^V8ymk(N~N86epI%7T%wV0*qDQRporaeNl$S$O#+W0n}=ywHEZV7axA>Fvi}i z5Fc8sbE0037GV#S15>8_F84|jUbw5-PKM5P_tUJWy7+S3cM0Rkl&5SX5>54^*5s%K zA`Dh#+_6$zNZUMLR`-X;;D=ES^GAx8YfaPTH`o8HAiD{l2)f;M9X1)nc<2-LD%p=h z2EkQ$Z_qreh!Pfr6scsId3drOx&bK`03%9rd~2?{9$Y2>X^zQj$ThY2NhNZ;dIj4JHY;G4N-C zY4oaIF>JJ+diUs2x8RsWd-(kZyE$E{Qn>-$D&Mm? zR&)LqcQg0_FjNg=wU zjI|mN_OLY>)}%Qx0NvYjc02ls_VtSZn6XP6caPM_uIeT#z9;iP)g-V*vWaz$pVu=D zD#*)kRuzO-tP1Y zg|uTcW-aXW)@0WZ<~Za|lFskhLqy%F%_brU__~0Bcd}LL0EPypNGgZFNJaontX7fY zKB;U9Yv&+qGi*mg2{_xWGpHx{23k@bcj06m!_~ba`#Z(XTQgXCmS^t5)B2thSRGtm zJW5>qxZ7_8m>LQjY+QNuFT?=gkh#oiXE}1?5&$=cFvzKMTA{N~2wuW#A)HvV@CVgs zbZ+KS;_Us0st;MtE32d#od6XmcWGW>fgh<0-q2v<*TKNrVG2pGh09Mp7{?zJG*~t> z5BTjqRpNLR!;?5K?mjclg==SIID|n-5#GxQ==?jWRtoudbd&`wUfKA4jW!q<2%P)a zPLo~z;~vmXW}BakCNQXnKgDu+Y-VX48VHs<`nn(O=%;?&5>~B(1vqQv=K3pNCUXso z_tF_>zE?Q`lF+hNUR>N5@jF<)w-P0@IhwWnW^*|bf#E!hthEX*<{zUfva&18AQ^|Y z>d_sQHB)su9e6K!aJ(?wc~+Jd*#gvk4p`l2_$PL@|d2Ypfct&+ng=stuE?yuL)BAYnV)i06i9YUaR^ zMUMVUQA(01(3{MwH5McHeKs?Ahcz#dd%1@~`qT?l2YT+lxv~>0D7kyXkD--LNb&S` zmH{HL5qdDrr*R{$uwf@bklUvTSD)CrtFrSISwD+<)=c!}QEg1sxcq7>ogYyDq=?&Z z>r37HD#y>KlJS8p{gB>#WG=j4yj!GeaK^|j=}4yJ?Hs+L;$Zk~7Zon~K27|cIs1CS2B6#Q|y-NrHv7$$yffKds0OoL{I zusUI9yQ_f0+dki;mY^`!GEGGrleSu^*)$&36WS+U^?b|vmORMJqefTp$b`IKMXU_8 zDgqj>X9PyePAX7|)ZYFc#h)DE2==iLsW&Sr3(Vi} zprN=hjOQ4u!0?8~7`w*#^ICn6BE17A-CFb)vdEOr%sghUTjK*R43&{qy7?PeV~Hw- z#U!hJ%jDTW*7PlT<*I%4;JUA2c=ycv)T9$y!~ zGx?5T#rCW}s$3l~AFtIF!~?I?qRk zo8v2-U}>=1Ekp-O(lF(oX-R%&0tCx-8OjdP1w3pYvH-FxEx~6@ILqN1RPp&=xYbxdOc7CaMG5^uEd>-prCq4@kB*?nTmWb3 zGrjHW{s^J{=bqoFITHeDL#tfKBr{deM!JO{7q0yczMT5iH*c$A!tt+&TlF4*B|cN2 z|EoFnS8m0{Xr#XSUB&4y-1;9-Vg@HL{g>?B6a8lz_7BkW#ut9z`u{)s?ic&z&JF$Z zT7OJafAKy&I_fl3<&^bz>;DzoQJNBN%!T0Nef4py}8w+G)FX;WsL+Sw3KZ#{* zG;e^&M@NfQI=6-X02=`cn91VB*Chs9!4CX?zwU*XCkP^8E4Hf{|GY^~`TG_B!kJeTfcV`UjQTGF&wz>D0)|^TJ@xAD{df5K4q!Hq zrEq_+mi;xRa11hk190)L4MqBw|0}lrgb~Qv<2k(lD*_EXZ$R6Nc}-rL<464a)%}wI zIAE|brAfB%UukAWvjIxIUL3;O4-`Fa^}xBpw-f4%ho zE$`oq?|-}Z?>puHt-H6|8;*9LXX@dGpJS;4XHE+*4{V{{#;h6o;Z!T?xcixlUy<*r z3_pkzQn(kz5+@-t%;QpKhvq-WEj++$U<*LC(*e;}BcqZ1F8xJAzc+xWWOxVtne%ehmT3rrqRocvKB^VN?UPzOsn|EuHB58jsOX zFv*Ke{6GxuJj5Ck6SE>`HpA)L(%^{!#ILCUhNf?|^4IZZ_q2!SniWm^Jy0>j-*!Wkx3k-dgc77uKFt&@WRKSepw;z!}x2kT6csvvmC+V9YvDY1_ zS?h4IK(k1<`RnFYipMv0GzVqN4EUg&#n59C7{DamjCU?um2%g)eovO$X$v|+qNH<#@c2@Ym3}1G57^ByIIFPT zB|_|djb7YT8|iLkoq^S~^8iE6toy$jfk&8L zD80z=_7&Uj^@ANUZepw7JQs&9DeQ)=YtGi$8~E+aqedc43qxL8^v8GR@!FIINeM zt%kR(+0NXaATNu&cp3w_xXMoewtGnW`kk=Qu%-crel<5 zGO9ueh47=4y-60e*R_^xXM32I%J7U{@?hA(^Wh_l;ol&bL3oibF~V&*To}I85sFT7 z9y|+7QUY^$WL)#9$OBVgY@_VwGUc;gNj!j?b^=qYrkrwN4nsV)qd#6|FJQjC=B+t8 z#F)>3we%iZ3`-*?(UZf=^WHm7Zc^r+2^@Y$K|n#LhYI31Q>atXik>XeGe1R5?|`?- z<^eT50Ok;SqYDlkw8joz-^@f=P{Oo?IL;$HOjw9O`b1iKWFiM|W00}~dU8I_J%C%1 z!oZjTEw{CJb3H^8s17gf=e?N)n;o*4w!yFN24PJU)-Af|KFQ13$a?rO>W*&Mok~1(V zi30k8&c`OZPFjL>OD2F3#mOHpqa5b8`A70Ktlg7o(ZGm88DK?lL72Whx8{Qy$K_6f zY0aEl&IABvHze(?&asU}1D(1isbGR*t$5rpc&>hqxu39JZL4%PQ08da!bYA*T~a)Z z4`wSa1Db@oQoOdFKo1hEi%WqiF+_^Tk`4zwHGIo+d$#VS3>moo;eh1Pt}h;=2BRo6 zkqO*xz{D%$u+f;I?Dd?3x#vM+5vksqBcyJ{mhrpMiKiXGg3JQdQ?C`qzYBkQbf?oo!T1tm<|ABy z1di4E^3zXr9RXC&m6e~1K7jO1;>FGD+WJus9+ZmV=aUhKJ~8oi&g&`8P;+Gu5!1-U z$@IWLU5yAy!WFo2C=V%8?kE@4h?gYup$guVMM@@Y$-T>pNKz}Uo;EAa)MN@uEJ_b! z_b#-pTm6kA3B1>HSMoxV7~a~?8W>s&NafFC0j5Kpj0xBwuv9m*ymWD6fLCEd{d;9m-9;j2a}#Xe^9e9!Y9!d>P!0e z8!OjAB0_%!Ou1%fp6nXI?ml}Cyj7=L@Q|Dya(x#X>$RWD5b4@bTdU2mjqi1mn$YC* zWct#PXY&yt2HdIL@fvHQ>@?zwDUFw=t~oSIg2yWixh*7+g*%XiAv!7dRm_litx7XB zaU_vI&7i0VUXA|ghMn-k-rSA^@2f#C2hNY3H6nr8#BgWDNc$DQBx2_sLI)@e^!FU> z#yXI6BZ^ei}G={6LYACc)UgUNgLQCDmQsxtuyJiXdmhagd zPQ3e?NS8=9OcAT{Q#g}y?}mEZSA7A3(ruE5fkBa!r0W(naN86z3EfKTXGWksEUJlc zev6>zZ6;K(F?j@2LMtXOsX63A74SRIAc>>hKuLiSSppWhlT9SeQH680$&s*ZL|IN0 ze|Why>L`~3=JGP=>3#o@>yeUPg`g5;|8H{d?uSi$%zb1+zqfAneSe z$EQNLR{ZuT$#6F~diKSF_3X#Cb9PTYJf5xp9*7QmJm{pB%2Dn|#<1cs43PB{2x=4< zfq&cP7VgC|Ecy4W(BdZGg3JQuDxH%-Acy%&6-;)^-|h=5uT=zLSzwqqcGB?_@3+Yr zwW5h@{CB8AX$=Mixw-7`J9rzZLln44+Iz@DZcXYCJ=-O@S~>^6>7=Pjwh^1^K1$S~ zzGCd){=A@x!IiCmpryK$nC|s~0!y-DlZ*vzKZ0`t=<2^ADz=hJ^b>B7!nlG^X=?uXu9j ze5;Y7tfoU&xlzkAs8BZ8&jw1um7S#rzONX#x3@)s-+o*aS_`x-3u_#u;yT$%a>B;P zUks+pgy^gfCX;qvl9s!b{0Poc{AB>0J-D(`?!Zdscb<_nXC~(B-~;y~sT7x;c^M7m zf9y$lptO;gx6I(?`3+3oI3vroqNn=SO@6d+8rXE>*b?Me6kcCaeLE(n-lB5)dg4T+ zcv8yc8)jCT9Kw6{cUdmqiRCj8IkX}1YxRV%`4(>u$k#(tOIT-@hP+*aX&-8ll0nFu z^jpbEcJ4b0F}c24pc9 zd5P`o#&h)d!V9mF?Az7w>vrp-cYWSpLDh;Ix4#%0s)8A!0~!5(YCy%w2PQ(My^v2b zfb^GQ;iK&2?^Q9{HFk3fi?3h46r+ecIw_=vu~yY=-rWU&P8R*$!1g%{s~_NijLjnK z`cZqhoOeGpt1hR#qU>Ur5cn(&+5dwl(T0G8h_$0}b7dxX*`7F!Zv_kN*=!6OsAV4@ zE8XYgQIVDdGDRKk!%ssFl&qsNj4){{7e9yVi(U#zTqa7HbSglPo|_1NCzD{F8X6O1 zsHyxl$6WYttIvrmQIT`?A={wh(a$lo!{6U2;{6Dl>qmD4gy#=RzE@N-x_NpAv2A)5 zNfqCw-fkiyxK5b%QhWTx_wg$kd~#FTVd~l3Y*9OEomg_Xq?_~bo|0cBj;rgGzD3;i zYgVVCjYKi|Po;&jz%QTF1RIk!I@9PSwz?PLw>chp4^9+)jUdD?XFsA?AtsP~*(q1i zTCA>_PN*`3qQa-~grMavC@T9Vr5BomJ;QYE%x%Q&ys>QGEg2cxh>R+_^#NjM$waoL zH-M+-rIzP7EZ>zn^xQ2Ai=<(y(p>7|P{K;}+@*r_-M=uxYTUEhfZ3A2cHM2tUH`XA ztv$Um-(u;_ZO9JDga~nSeR+_-cZ3<52BusuHS`~N^grs#IvuikcM+=lBa4J3%DK*Z z@63T`4z?25B*!9F5@N1>&w4#qYNJ&Q*_InSJMTOs0q3J0uC~>yIWO&pCt`1NT(b&q zGn#8#sBrYOvGgOI>cPS&WA?MR7)htPfgfI!kt#|Sbx0#>6>6-K@Htb!$;#NUPYEBj z!+>f{Px40_=}?nQ`uwRU`MADpibwpto+WK}_QJJlWhv`rMyfz4_`Wk0X%@v7E~LPl z;F)dN65ktnz1L;jCXG#-ML`2h3MHiNE^9nChtzM5SaUO)$8-724xqEeE0vNB@SmsW zc2=gjWTMuhi_yPd^aKX=?R{VKHXX#$=~fO&dJBnUp8^IF-24{~$r44DxlZImDO}6q z3F@#i-~h*@X9)RCIS+j$lRCj8ygyh6FiW9B#7(eQk)^+^tSt$I!q%ay;qz4Q-0LiZ zLT7_-NbQMnb3af|3>*myH;{VMB}k>(Vsznic8x)%2w&~OU9J#8iKCvosV|=}H(U|J zbuU8X-mxR(bRh36xi<+T`;^YQXC!<@ZJGG7jk#9c>Ij0 zBM%R{#P8Nf_cN;Cty4v1tlz(K;(?K7{J}yN{Pe0lndA8->RHC3<%GOny(-|NWsL8z z2W}cmN&EVLe$(53ylD`(54_wv8R7Dyf_AsQc>W`-DQPGBOsr6$wskWJVL}&)e6csa zwDK4Lmdr88Q*AJ_aUI96I`+a}kQh(1IXEoDkFP`*SJEARPk|Ry?=MxOQyKjEssi+D?`kY%5PeI3$Rg0Qd7a8?IdbM1YJ&*tF11;ho4j5XP==z!!HM(R1na2L__q{mSV zw^R5G8}9uSA7eaH(qq7Oa&YE)w_fJO~ab6B@ zns5%6RFAuII+Xn5%F*a3nNtq6ne!3h3S-}f^3>#fw2)yW-C`-a8J~C5QDi-pqr?$a zBV;~eVNq1!g&A{8o7)^7^?H zL7&;`uh4?5ous29fr@B5TN$bksY3+}XXWX;E0(EY(7YM14QN*}X7?Wyb>zET_Ry$z%E=ry2 zfKu|SZzb=Ba5Ewg*gaQ9>>A5`guT`&N9&cG6_YpARHU3j$R75;RLJuGgq~&oBt2?-a0JGu8kKJ1Y?j;38mFnDG8O5Zd6*jQ6z_< zI|W26L_|coB&8X;1eB5#n4!Ce5*T6-*o*gNM*Tj{KIiN|_P)-!-v79sd05X{_r2EL z>vt2H0Kk=+t`osQ3Oxvcu!wv1UR$WmwfSXZ-k-P7P5rMcf7H{62vx5(i}pS_owGGU z3XH4d0rOe9YVkmk{XVm<-4hJ`YEvIW74rbrfEO%0=*v#uD$+-nnvI&p3ltOoHC%B5ESEtrz=y){|LE&iYH=pZ%<-Bj+_`MUNS+yyn&Dyi*VJn9}y$5uB9b zyJx%a>%_aXD753Q5);&yAOi2+uD1K81{+S^3oUCtzC6|Epo;P|cU|BrsJZ*Vgp=>s zGSYa^I-T>w&}v4X2S?8K9z8ng94d#b)v%Cl6(n=5sc(O%7?|zX`NTtik~-E?JO-zHoWAl>frWU0yfV}54{D6w-$Sa*?mc}q0yoL}o2p*E{dQye}c;O(ud+vVNxSoLza7m=&d6 z5z{(DuT>BmD4pA*dNfZj8pP`ckHQyM7}@V@=YVGwQP1+8=x_9y0lnx=`Gy?*M=Ffh zXLkqJ`#=4hC}U8>)tV`}Qq*nTq%kC5PTDW^&@o59ybbC7mtA z`+-U6yI|49q&7BH+wS|MjF>mPTAlr&Sr!D2`2I}4=S*_j@QL?%^V-5kk2m29>x=O< z657d<-i#`@Oda1|vg>@&W7bnL_cbUiTvUPhl>Zv{O|DW;Gml%lB{yU?syQiWBZp>q zSG_i03eXff#d^7<3Per5{=|HyJMtxKdpX%!A1Nx8d;bwbvCKoSD)s&848vku5c#l| zYt~L`FwKI3tX7XH-rk-5{LqwXskviOT%&sBE9NepaJn(LcnSnVLgtS-` zI&{35Vz)#+=F^#e?od~{{`gvr9_vd};Rth*j>=f5-uKQ=22UU=g(jTz6zk-M09e6|%;SZIW zyP>-W8Br1`-K%!O1U{ckY>l`lr@7nSP?_MP)=Bas;>Dhd1YW8PrfU8BOKbR8&=P}8 z_WHj5fGG{1TI?T))3-U_Xle}i&b!^VDKI$JyyggdsGC0?lY&0U#^O0FVz-aPfvX>gu-vSaa?mGRD_}DrrkI}^%C-F zkrE9-OC-;?fMmz)RI!JooGi>tpl*bt!l?qAKT`4F1zNeF`r_>{HxzV zBMT(n?(G)ed9~6xD--~gmJTSYBM~g)IX94E$dR8DDooyNNj^*OaYiXqKlQ0n^wx`8 z-<0~SOy|2vW47f5C*RcF9FF3R?lfjdZ@IdyXI6(!ZhyC^5ytrOOpv2!he;fNCFyhATbB8BlFNNp;^hIyrYRb4 zv0b;VhQGb9u5A_|oi*caY1z^bx40Tp2m2#=_USA$^K~m>pC6Vym9;?!KeaL|>q0eD zzg3^*xxy0uXVTkV;&H2rePUGU-QNQnxI8;T0d(gXs^CAm<{+93WcQz2PyZ2)#icd1 z_&{{TX>Hu<$dSQ^N4c2FBBGAGyKXcDVrj_Mmj!=N54-;wPamY&XHBjDsYb>=KAg3$ z6DT^+4D(ugelXzYMYaR1*lCK_@i4WCtk0*dvWXTPCI z{5JHP1E{&oP}NJnXIyZ_;yM1s0^ulzKER5&`VQgve7@Qe;HHrL7=)s9&o%2r{Tt<+S*{ zes!A(wIUE4i4}OhXyAS7k#dXRqEG+`F@IGcY9ChE8lh@p*p^Wg5vSfq6{p$v!o*3# zKnKdEucbBDmTq97p{s7@#G$6v6qE0rlrbw?^axgVwTibMR?$^%IEcHLM1fI}n(4_T2HJ zpBJ+t(o1O%>H9@1zT)y=?`zOR%aA@27b~!O_E?6(n>XwGHHGWN`<3^t*Gx5Z`x4)u zh9D7b&O@tNX8ZU9#yRI`MDo9!ICK3W_jrGYE5qUBbSi;7yrbXptnSTdI_2R*391jb z3!3Yz)l4}>RZSfR8*As^>|Yh6`}n!_%-n>`9nRliz-s?;%{WvrzL^lUlFlbNip&K&)`q6HhO^=Qk(nAJR$)`c zHwNs@L+E^TmTyB(P)Y|2@{zKgT+yrpd+yYT@`e3NPBIn~#{E!_Fzx_#*2lNWbB^{Yfl}e&$Q|SO3_fZWe0l}FDHX~O zoW`ubARlf<&aBqPY;qPY8+P;*4P~c&ogb^ksxYw+V4O>H=l>YxA^yw3*NvOQrQNY* z<=pV05Z#4o>e5_iW0CcbB+j)>Fr}2et;Ig_305#X@rutg!9oycDSUoI4bM09z za4w2RD!S>*-AdKVgOu${$xDb;U-N%TigDI3L-qQ02A2NRA07UOyXNc%OF{nyCbOc3 zy-wVEjSFfTw!1+^WHmjBDBNy(ijQWv|EPM$!3Bk^ww2`kI)gj3%7nEfB-^RI%H?s* zxQFQT7xwQ*?9O((J$ZU@i~M7=jLdIG4NcX^#+K9CbesJZzurD4aonLF?z=(&ms=Hf z;V2l$)_c3A8j3^^MV5JD0`wQYgbGGDKS;ruFm~rpd3?E4^I)**2At|}%iC+j=V!EK zm%Bd~cHhm9=Fy6y5nUZr+^A!4$xD>@UWfiMfdxY)i#?$J#;f1Axlttn>tH>T=AL)L z?&dHB3canj-%-T`FDCM-4527jd4^j7BM1J2lYyCb7s72Ii`cnGQ!sOaR-)dOk2`FS zSK&eQOqk_xK>v@$x`4eCHT^{!w}qJT*)$P-6yY4XnhXz;f{7Q8U2MLeg8RlX-$D@J z$R2uj3u^=UDieSJ;U1$=Qg!4|s4m2?=;kkCpW+4qpxzSVWgPhvPF3)k zBwQqe|SeKl>DSi8+2(zsZZ^h!A0V2oe z!5#K^9qeoI31V)I-;iA6xewxO2@ba!S!0HnlR}LC#;1TMPqo#RvgA>87!g}9@n3XE z0}-gnD4e1FVhO$SPhXR7mW#ce zhT46J{VOz*M49@Mf6!0y2x_TLd1Tm&OE)?s*UkHFEY@a3U>hkN z^Xs+fF{3q2%qYQrs~haU4hQT*B4&;nUO8%yj()x9{~Dip>9m$ij#u zoc7j-H3a=^p4Zagyl)sFwAt`whsoNq(w#~wL!TS#jMytNuAdEr^-t0ZxZq0orNl=u z&~P$pnS?9f`{Nlky&U=&%2O-rueup-YKvv2IhNe=?ly zAr0en`Bksj4};-!@9VY{Bw`Lv!YHAH;lvy7U*1(?_Gh11jvy2BG?k}249MXP(X<%i z{=DA)qSk_`Z_q_3U$P5=N}WE>B?o`gKzIL^r|a{ek(8ELw~yUbAMWpaJ16sH@)DNM zf0}r`41Yj1-i14J@`M-cE_A(4>N|WwrsPXaB|}#pKoc~p6>$bH=Pp_mMptf7SAOlq+A+tLEiN6 z`F>BAi_PhHNU&8h%OlznXh^HT$4a`57?PrPk;SZx#I|fq>q9m}@|@3VcsUrW0oY5# zaA`EIm<)as&sp8tgsyoJ>sZ4H>C1fF;4~i+oQ8HNdRacnP_uGZOqE^T_+H6I{p4wl z>?i#@Tb)nBc$emrH&*=7o8?GzzOUQ88#OF>?yrpFzCu3KW0mkDAQ-O<@Nl2OnpaU` z>gq9-KSy8m4k2di2DE+nc3qPPc-#iF zVulM1BoI}Iq+1A{4IEac?npc4)yqt5gWWc40D;OXneH15yL32#ffq1Vb%gVmvJyy< zL$8#uuU3FfF)`!=$0Bk(WK`DIHyiQRsIE6W6DfC|=BzS92Inv7kqxTArtc{^#QoyV zcXiZG0OA;{H7_0}zmK_;4C@kzfkmH)kve~5lMLnWg}&;y3|VabxzcNbH+GC_n68MbXrkpVTal ztOV_hqDVMg_ek!V>2UuwaZk?s8)rPmHs# zD17m+%W`JR7Y?>GBmC-?AZ}CTkPsx2Q0cVPa}CbRojjhlX`;I1>wwcWDG+jQv{W0e zOBk7!s4t;IQswRDi!)B(Ivi0J9F9m4GR*VlEA@@TwAs;FZ9Q||Xm9?yF)wLC<68KB z$F+MWe`+b3?XZ?ej03_o&PC-B<8dg_frD{fmuzv=wlVh{YNWcu`JzU&diZ4X#&BvS zdKms0Q|c^LDpkpuWF)tN$|*e5E1POJ@$+ z`#^c%1P^<3wLAPHeifR%a-;7!I~EJT9U1sm{7!^t47;KWozKefy%CNe{)J&qr|vPTyW$4+pNq5kZkjh> zl{?F2 zH&v8ck>@V?jxI3uwZKnH_d<3<0~F^i`|7tTdf7F%`)}O7V7E24gT7?4dbg(kMS)&g z3HLZn6QFabzS}Q9H|*i*==8`cOgV#kjuL*|SWzweUp*!iTC0jsISurzrrMp2Wn zHhSzV+K=$UjJ`t$y3am`LLGskr}MZc3mxEXKl#Q+F|Ar-<#v!QZHZHe&+YB39z4?( z?{4~};c%6;L}Bd7vjKji>n20iKSs?l-wUT4mnjxUbITIj4BRXN!f9{9KZ^5j%~s2K z&8DWeFvSct3FOr6z7haXB|K%7)f=vwffCJ=H^)DpLv`O6;Z|^~eQDBUBfaX@y>s)e zIXCvM`$IMm4IRi%8pD2=%2xrCJ-}SawS>ysx##7YN@mldf)+RIcumTb31?#9M01i} z=&E@wS{zE;Tj>4H$W{@P#C!ktY&VH>^Til1uC4Te$5Xy`-xMyHC_A<#$U3fY7K(p^ z^CeYQB~VibR-N&5!(}je)fh28FNQh_~Hr8J|e`9$6SFKRMvts@7Zc2_cr<#WzG&d6e zwuwYst83{#{b=BukF|llT-8g{dNg3ADth_H@#2fkb)?sek#UwKMPomhoK`DSJD-Kd zDtL)z3{i(yy~p#bv^xMLMiXZ&19_S|5)sW*s@3fOHL9-LiH_ErN*=@1wAH) zWFvt_VQc=%CnR0>vl_d#!N!{QPgXfz1KQPl0U~1Z)eKphXDtSpz=a;ed{{*EO!w2#zskbIJ_IB1%Mq@xc-1_>L@e2`AgW}&%HTi{Q~cT| zpLGZXTwb($J9dqv!3781pUmuj{1j*HIZax&RW3(D>NI+VPe4VqfAnKzdG&_=s@2!G zm{Be*nj10F&fryy)$S?=S-TE(Zveb*aHE(z^8+S ztGIEFnYpnb=p=b>aa@lL?>Tgel5JNg&x;juzHwzJ1*_0tng@*s)KmIl-MdkGa?q$p z+%`T$cCof%Bw_J9O^P||8at9buau#oPO3OrM9uI%PQ~Z}45XH@*l7{0K2`G-CcT~~ zE22wpNfW74nsQxKIJ-M8n^>NlKGw;aYT!YteYN%2t6^Ut0cEQ6Ul<=A|MkQ$b`1hmGg zm@vG~fa^b{*ok?wd2wji(7xs;wJwMe5m9|qHGqt)I49NOXazTHiWHDYKD( zs4tG(-*CJ)@P<+HbL<&@@V6h0QO~?G*!bRD=lMWqFmC;iV`{UC*jEKvHkXF#$;l`wrut-r`?Yj8(-P0VpbjYM2;$Jo&F!D|RyXbv zN#|Cu*?V}e=PB>$1nb2W}~#P{U&MY14^YRLHC!OWa6*s;>M|L`2Q`ke(lH9)P!<{;b>{VS74$LW+l4+SCFSvQ z`%%oZu^7&i*UwX$*QPRZmYO%E&JJr9WgVDBg=VFkhYy}bfA%)+Z{X#Zuh$bOu3x`3 zG>>FiSj7Lr$nW{Hek*h0gQpVIBl{0)|4kf}uLW!DAH#oe`V6g>dE~0x^YF)UDT|ob zIO<0clpl;n6EMq1X*I1I&X<)zW9m>oWJ#JoR?sYrM;*@Y!`d*NZDWA5*4g_*4xjg$-wBTzzamE`BQU8^p%51Nr0 zQ$UAdUi~6WqL_iU8%&>L*!46~=*+`nhxUJ1E+t{qm#-t}*=Y4C>$#M}P2Pty$6vs9 z(5Fal8Ca!j35bgQae5B(i7W_gvEY#{E9?g6`dMh4jrrzRyo8qMIG=RCA^MO&>*+ABc>3(X5s(jR`L zs#Ou<*7pp*zi{(p^%C_%qBH?*F|QiM=BCR+Sc^*UKWBXo|0Dxq_{0K&_Z+NgN+yl8 zn+iAWW4`Wqev(zEabq{)6T(&(-ilg1BK*4W?wp2Zer?!C^FE}zvO|&!>Kkgqe5U`S`x+LqT~q>&w@;KD|bZiwT1FEoO?G_onnEVUiqb9LCzJ*l*(z+&rl5a~@;H zS_fnqpF?C_;1k|0WghH3r}M*Z{90zb9T>SD=6Vtvjy$D)z{|qpN=syxG&;spH^bO} zy=~MA<_+B#)5lSe8xPj|qu^y(Uz%}$0OBb^Bk#INvng{{mRac`vKX29K}F_!<*7&< zpKhIo!=lWn4Eu*RgkG%JO5Ozl?g*UP#Uns~AaRNFl{Q>}OM-%#rKv#9dt_)sIKeAz z@tMO^erUq=-w3L3{vZ*M1?^AILS=%STSsr1`@8ag=oOD9Qq$<^bJFC@lg%+iU~Gym zF0V8?2=&}QEa+&mnN zaUOrdkhP$C-#UanR{uOY<>~jTY_EY{CGUaO4f@vpHwli%!mxpz0^t4g5>1pDJ^{71 zty|c>a#C_eh!)nJMNZ1zmZq>yORdJNInj@e-kUQ^2T|un_5^nd!dcFUu+sy9E#T_cgLRc}IWl(XWFz$F$y4z}L#73!xX-~Wv@jBe9 z9g&0?Lm%I2GQArpp$YGQRjh-YX3-^K%U5liv+{V&3bKOl<1AW7jFKcnOS7p-4K|%~^nUvCH28WR-tm{2`lpkK9F}#P z=&-6L9}Ji;Lm79T*7R&t2KJ1s;#07ptlAbVqcCIlJT|i+J1s#{dfdhR_o`tLEUk3B zZN=7=5Ua;D+Wf9sd9Z3pT~t@`XHc$1DYN%Y;yBixfdYA@ourucY?Q0V|5tP`|FO)K zw*8|1>6Y|-PBZm^miCN=m%uUmnlHe{nN=9ZW|{RpMz!*LW>H4lyvEc^w{6qy05^>e zL}p{q1*-v(k$VD@x;u()Mcb4C2p_Qo7$WC0W}O92Pea9(!F4fa1}Ewc$VGjp$lx5U zsazyBHWFWWs=Le<>|APHcrIdBZD3rQr^wMFCajb!FC$}*gJ{V9$)cWCZ>dA9(;}k2 z45l{fy_y9L=Y78{A^n?H=mKgx%DN}h>>MpG8xz&9P#8{dl9`+O=K4$S4HZWSzWavT z?AYlYRE%{{1NopU$!Sme`%_%DiMs%-;FiDrZLB=`Rp|o$((wnsLT9Cyu=yjb!2DaC z_?jMMmQ9s80xlauy>5rb5 zDNuH%C#LL=Bqsa>_!ZIda_~4-H~%q%R*>-QZHd<-!LITbA3<3Of)V^m?H=Os`%~PT z@ev1`;o|=mChHW6X=_Ie*?(i_wfO!KUDX~)@7}l`8f3pY`p0kkv!iKdf9gZ6U!_OOHjInK&Q0GT5$RJ05+ zBf8Vqet;q&7hMecY4uYXdOld2Zk40$3hgT}8!(N6nF4sMTunnSo+;r<*R8QY*g|g} z@#{E`rP89cHo={h^{nFI{AI6Y4@9wz;m&lF&AFLjcU0EiHn_8Cg0^* zekp*Qu~WDm_A4@-33;dagl2%^5!yN(oBAOWGpZz9Dw!bZQgT3z;SfBiL1D#-n8oF z+Sf8LSYq%u6xp6UPjmCpot2wEE)cx+`8mO`2vE4V314gKJB7i(^7o=+oco)cN4#7- zcG1X1(4(^$bY(zLUe_8$iOxhjScU65=P|{)){@+wBpa~&l$8mGcMCYq8pZkSm6B4d zt*-tAou5a9RLoW;!3AWrQn1i!Msc`tm^X{A=8kkaMSGXkXLb{;nvv z2tNU%;WBzWR~gSN2DR)1OQv~s=8T9(r!-Yx+}=7<6aYX+STAl z8PBOOO-yh^f{t4QY3DQ146dn=x^9SPoL_O^P#5w$mirn?$z zCKKN%O!b+?DTr7F1b_e_-{e<-t#uwn#bH=A$h}yq6er@nKA~+EGsSr@r=13I{}bDD zHJig8Ir{cZS1F%_i0_WyggPEzI2aF`qwxP*7%=f zVz5TcM6OmmYC0#l|8s3IfXX1(aCcr)Lrv`wpnF**Xp}5M(B1t=!55+PvMWVl4Go>Q z$B-|W#k$o8dO_%s$>vug7|n@A_&}@MeaECA-h6;%MGy!s|8H+=+`s?Uwe>ts82_hh zCPm1-s}=S55o^DN7LD&;!Plb&U9xv481@?--5&5vbE9a0KdZ}-Q@BqzXCR&P2dBC3UxUweL$h9{6_NoEG%e8{?S|==2xHI}-5-|s zmC}2CB-UeT4ta}~&pLW{ny)&~=r~nOxm92O7d4YgYs=0%GFfgP($lPWKZf%tAQeT! zkyueJ#&M7cy>H`?bNGae&6h2^h)>i|fH zf06+R0DV#S8&gK-4QRdAJG~{tCsldeRZvnH=K5dPRl;?GL$HP{P|^Qc*P;b6Ukfq9 z*kFjw9ph4np+hzD(pPA}_22~nULjxMwNyHTQSk!+0j~FYspONY&PkA5e!T6q2(QeZb2ml^-ZA1y+vx9(2QU3l;_5NCy zf1K<1^Dk!pJS1puWjHj?nVO`wXng!3XqYLvI{+CZ$G2?GYm?)Me4BYLnx=wkAwP4j zO)i`R9SDxe@;kBnNoW1fy~6LVXOVn*<}}HUY}Q&DU5vVEd+Z`Z!)rPeQdo~F6ri#6 zjWhtI<23-#*X0Gd_ECoW`3$?WvU`y~e_*Cy{cB~0kd3K^x| z>AW3fU1s6`ULj6II1gdu&lgH!j(oWIIXa!-3Ki1ir19dbpB<8<+qOzw{{Dq${9Esl zE4M}QasEhhpk_;ragH3Z&_=PGph-11dlWWl(b@zRN->lx7m9OeyS3^HfHmj9sdK9{^# zf;a|5@fBFhha2qQ^?H)?vyn(@|C-2W2dX4#7m@1AH|&};M_<_aoEHYv)!xGciBqix zkiT{(Ku>O{&(6Szyy_bu;_qj4zI&84kk$@;H)dVFIGxI5=&@M12hu0W$;m8nV}!pH z^?$}WlnJ>ZD?qLmk~U>zWc*b8T9bA=tJS6UG*j=+a`m$8qD4}us^aah%VLAkL9qZO z^72n`8CnuC_no?l>WKsOrL^{wR|t{L2>@P%GjHr=3MDiHp2BMg1fw?wUA@0+!*Gt3 zKuv`?&A}Vf6_=u?bA?z*=!cZYSOC>Rygx}kcxCzdrY!Ix4`kSguufMJ4UJvI)-ffl zdFD$?X%tjPyX0w&4Y(yqvgeGT2!Y3Bi0seC zI)J0ue9{u&m?r4^?4nutlF-Kw^!~Ni7VB~MR`ZO4YQEfEdM?8ckbNHPy}|z+E9`Nt zy0U)8vKn8IFu<}Mpe~plNF|0#>7)kU+f&ai8r&P`nj0zD+ z+3Bsi*44Yt`w^pF^uKn{JTL>dui+Hg*|Qzp11`e=WKVS8vzjt4GI?|bz(*A{g);5T zM85Yx>bqV1rN{HKZg`s@P$Ep~VOErdGsWv#?6fpodpCv%-V#O_SyGPjgO?Ko^Sp6(~}{dgifIQwZJ@cm-~x; zb$1{l74)Kh!-Fs-2=pYvu@#hfg+C1PmK)B}N;*S9$!e>5D#fB0Qbk@yK}m^OqqxpW zK-AnAa%DG#1*zwtV9Pv_#Cy8Ws-X2g0PGWo8QFivJNc1T$@@q7$S$}{J6@WC$M)eT zklM4sEL&YSV77@YJ&?1ZsUk`-0zEnUA1wT-^u;y}3=FL60!cT0<3$+A6-G$#n?^q@ z?Enxsbh#KQy%0bD;B1l%uVw!xfMU37-kWv~S0che^mkSG)Mc@|cJuiCrRJZ7ae4P& zlIWC_=09cKttyE-L-8iR{et7^sVAWP=K{4b#ZmvyNOn-&Ji9^6ex&=t$PIq&m`%Tc za~yv2=X_@mfZ~g7%rD|jJXR1Ld^`b2{HHQXUyq!VlqLvRlzB;h!!qcP51ayb#ksiM zf0fGp{uW~y@Z~xeX>_mwr9VC(W)6N$=v2LN#F>H8zyVzL9z-F#gQTgUO|oE*U^OB&#V|1$4?Cu0YY;*v?J53#!P zx8Lvx5)YF5Lsbd?k60^q&9}c_M{e(QTY6?D9N=_yv9hxINw#9PfK}d0#91+lQmk45 zXfWmgC+n`rWSpj^<^TZjrKUytf?kO&z|f6(wVcf02|P0xFq7s2X(|w2KHF2_EDbZQ zQD*HxDm3SEU%31x>-hVp z8{~6VZC$qWR8YcfF57?!xHPlqmpT53i@Ry^Vi7>G?p3C%rec&qJE#XNGxGtpB7`u( z<%)vEGF0|Px2n>1uKY59Kps5#=9Xzohn(Sorvyc2>#uwl^#+dV1^^`O`*6ef{%bS$ z1TK4kwp=t|UET*gpGl<=KvGUXjtdd-plJepxrY z>!|M+JK>8wmhYC6fJjcI72O*3&jP-N2>hL-@+81Iks3h?TvMV0h%@^%(GP*$bc66k zP(Tc(?F=XC-je7e#q_Y6z)2z~Clb6s6^gq8_nquI&w>`7> z0oY|_@2fP$OMzdkaA`F1p8Y(n`00Kg+f@ZYx1s-%~u+;#N&7OCXA5Q}7s!(vL zr0(Qp$WLxd06reT>o}{-P-gL07=8ksb8ijrkYm?7-BU8Y0LYSm%Jl#O5*iSaQ-!e{ z7uJ`%(#Gv4FMTQ4kFxLzGtg?Oq;ce8ERAX(lGoIH$oRc}{%Fw9&@e5Fizla`AXM5- zlJOA+Hd%_t_uUNUj;=J>0H*`Lv%$~Mao5iepCK(>Bp?tHO0GBrHcySk^9JMBx9j_h zZEPUdd2|$Divz_uqA5jl!xZZ*^7oIWGICUY43vjlrdVM))8&Ct*`1SaXcItP_t^r_ zdmF(5n&K0{NMA4<0bbj4GPVn+!#!grjcb^N=!jlq7f-#{jnq4cLVR%oHuLEL;4gbM zZZxyyxZWycx?l$oZXj2jMw+gkLVpk5T<8NP(cXbG94h*DRjA8jWM_D@!ofDNs#u)H z&$z}orTygcRZ&**o>Lu@VmlymQT+Y;_sK3#qfbT~dppaUcv%>rxH}O5K>mx{+$EcF z;$JSX;^Wabxa6ahj9ASF39+F0@7)i=7;O&%DDp{Zr+)fvQgE}V$#Fm|9lZi<#5+%M2AD&pxO+5{DAdVwS<)Z|z_gtf z`3wTe?*q6R;huU(RseRDfpZa2$@hnvA?No{;|lSEVqLEk)>25zH*R;s#aPe zZ#uES4A_0^s%kthl*c|SNnSydKeLcBQ++9;p5XoJVREQuu`Q6+H^&jI?ZETMv|9D>kf2 zZuUJ%Kg)oYThUjf)j~@(@K~ziJ$&#Wq56Fl5=ah1|2<$b7Lle*rLP`16zyrEXs>Qz zg59jox+4XXiOYAnlJ!RDE?T~`Ty+uL7I`cB%>k=X#DGrpBt2B3jQ02tU-B<7a~0<9 z-dPTPUAz~F@2c_d^~lQraQelR5P!%C9tk-p9V=Yb_2Z~)*9Ud-NS1e<>lT$c=Q25| zDiE{03OkE4DKA;?cmT+D&-kRdN=&rOv3c2L3$>UwO|p-+ccm|>aJk=CHSIY;C?QMd z^bQ8^lo62!K*6Y!Ni68wgi0A~A6{etlPR10sRemzZ3g3D_jZ%?rI_rjL|J`J)e`k$ zKi!@z#(Nyp(#*FgVh((Str?8;W}-?2^|mWGlsguc8LI969da{GOsA^3*|oduK?_VJ z5zFH2GarC`L$M zgrB1;-h4i1uE<@`vgR^T3l-I`<|KgApsCY^kSG3%rLsYo0Ew01aYyw9d^!u zFLN~sZK@^NRiHR}*3DjvmLPji!5f!x{SVJN=`!fARMtB#r42XRA2Qy&pi8w{`5|B)<~I5u6fX~U=_N|!hgo^VkJX# z&W!kJkxy@!E)Z@2f2RGU8?}16n4)+}_9qmZUf22~I?WwNy$7KpImhlMXu6Y8c2fwk zy584HL*r9iuv8@{bUUy}7ZpgB{MreEA;Rb+5oP9Ni|!iorBPZ!<yV#Calzb$qZQusYWt*QGPk~&in|E8gnk;6A8(Pi)w=06dIQz5PU+j@%}$6q3e-; zm$FRKSb8ujy~!$e)at25H!iSW&|-O|DwdX5cwRk+*QRrp+snXr8tAl{<7|Wq3M`Oa z?jGH)=bQqrCrOqIo>>?%}E3Ud>h#a#V! z+Nj<%E99bjptoO@oU{C%P&>{k1Vs|q0u!>^ctMS-%wc-u{8t0%nwIC>xB_nRXQ#(N zh$vo|>!kD2T4c_aL4wu%RLp{6272wh6feETPnb-cE1ugtN5C8Dof+~3LW15l`YUl* zbnav5eZRa(D68kaVIk?7xA;my@@M?YCs~Rh9o&{m^g0a6U70)?IqA}isw*E`1-T*j zyKH+52sN6d#}W~*)EG0A<$W{o^@AeSRQOYQNGKRB$)oY_4t+{_2X)Uy$aS~X&kO3y zo?wNL@g!@ME1kr%b?*(c2qh&9h^);#`w?=Fq9UESga~n^` zCi@>sKZ8H6r6$yiyhiit*crcsNwLhlDCNhgDppA{L95UPi;s~K*+!u+*V|dRs0E!f zMKjmxgBjwy?}ZvdT?QuKR%jTm+6ilZ2p4(F$?K2CDVT5w7wiC^8XRnw2JXGZ7BO*b{e zmDv7-xpCH2jUB(lv#&CA$4tx8Q%-(@>3mZ5;y3SL95K*WYA>9-i-`=#SM4k$k3ZoX zH~%KW?>_o2SDErm6~K7i`>-TllaTEJ+C0p&8AC0-IwQ>vBrnXZ+xv@mb3Esf-rOd6Vh?EdZ?j%3Huu1fYA2fSW<$*ETx`o-qmDjEeRTI+uy!5=hEgxDlXdBpZa&IT2kojfX+@IJ){%4%m@-4u6PhMQFk zNJ=v0#csF`MOMfMT15+~c;`xuIE(&bKmLFqh@pC1oBB$cM+ddP&Uxh-(|JikGXbS# z)Gcx5^eXkcqzJeqTqeTuV}{JcTr6Ds)slEu6neJ{#kjssrHy`xkr#zbtXE0!5k4!k z8G@#Syv&dsQ7^Tilj(5*cJjcIq56p`_+{@b0Om;6Z{pQ#~bbTngS=oY$rbVy@hE%bD1e1WFlZvY~*CRt)-IK z$bW;VuU)I~Vv4DX4)tl(opa=d%=&2?;toXGE45}YDq6nlKkSJKyz zKF7Hi#e;|c_oLC{r{FO7v6Ophela>V+PbVnqV*f?8Sso=RxL}98FND2_Bhdz01W^~ z+p4amrmov?;D2gv*3vYrmv?*|O^&l;r~uaJ<|clNUrHVY{IUIh>f>20HiA!kUuw(0};>8VxNMQ7;GQI27)d#QEiAthramXIj=3byAvA=28f4tnHeh z&BhGWpTp*0s3mhRGg6Lp^%xBBE0^#a&Qen96{SE%Ax-tP=xx7Q*82nZhK|c-)Uw%H z@7U>vSN~l7wwWD}aXu=lb`GV36e#-47d~`84~A@&G=?n<1?I=+@w|gk#0V24zbP#A zv9hK%q$t^jdzI$q-R3`2Sx#y)v-mSmw<~HBA+~0FA;W-=e)k`8e{MamZ0EW*J^1YO z0rfxUXc!HmvXxWsWf#S0uxnk_QCBziu&%lPVB9-Q4NqZA1J8KCU~?HyYqVQ6lxPs5 zMK9!<>p{Kvcvc7&luc3pO2bu+0-5%RW_Q9xTx~>CUF(uE68)9R@Kv!(wPA(pk2X{h zg-eV&@sdqB-I&7WKB_7Z#?EnSD2LbTn>AAN883dBi=y|WG@e@6bN!jFR3(?qZPb=Q zajVl{sGZOq(|vNUlxDbJW>s-Byr_qFX=ihJc{+u$06Bqa_|Yo6ym&HIy@_IyuIN?6 z?wOs~3LMEgr_sjbiLL+ zslL%OqQ||&da}WbS@x?T#hU{`+9y;WOyPXQZiI zPo(Fc<2Ve9l~^QM$qL zj?FWpEJx#w#?|o)6WMF4!9`MLgKn~H>lygj2)muEmAuFKwl_en4sx?c(@;OA{1_Zk z?pK$cjuMTo%TSNX!EX~0_3Lcws^susR2X>9AnIMQlbxNgoo1iAccy=MzUGc2*WB(G;Ot3v z$v`X}2&11E0?2&7sqV`CH$3=ozY^9`h=>f^6ILPG9>b*lvJtwGT@oT^2!!YgkrQMi z!~J?ZZO<#OBIw*s0}rjBjkuY52;uWWi4^>_+6Y#pC817`#eTnw&BE>t))B}=eV6m* zum}d3o%1=93o5F-Sf~D(V#7)4Yi-t9lGo=cNGMr@-aucKf6ipQzF(L7$r!R_>9yC9 z3}yMSptDLdqHWIOS5@0kH0G>O_@K*W%5b)ahoQW|Xg46EL1)^_@RCJbA8ETlHWZc_ zloOx5l7&PT)_y}Y^xho&NulGsXPnhuOusXXU-@Gf_SJi2_j*IA&WO6j(#gD5n=xx& zLsTY8nDVt|h|Yzf!l@{<_Y`c#TA!|{txxE6si@}&D1JKFz@v4iD=>3)_0GlKTVtm0 zX}$Nh(fi^*ZNJs#mqBf5_~Ae~(d2%+{Rv@Hic^`=61yPM;!SI!E`%v%~40BFQ@H z>jc;EYR04z{g0S6UQGhef2|eF=JQ{S{LyzDkNQ3%Km5c$0^rYYeINii@8=}{5ckiu z5(FZS`Zj(jxUX}$Q~b}D{~r7CXb1ICL@_!?MyvRjz){~Pqt!Wn6j9{y{py}eo&0mM z|BUS?2|eQ5$9(@~%D+tcudVd&N%`+1^zTXeSA6}q!2f@LQh*(a=X<1zScXLJqvC9a z7fUbYcyIQ_(A>OV_t$@GtX%!kpGB?B13k1yXcHql-?fo_75kDcS{nKzHgPNd{kqmi zBuD6*+$x}{doE%|UO?Ys9IT%Fmkhxt;3WdL4nl7qp>{rF zfTBXr^q%_Lzxk6GR+MD4*4G^VeE7F=_Ce9c z<10szQXAYdiDICMN)$^LZWg=D(-^*%VO9 z^ybMU>ydN?3GnYkC2VDgf!JaxdqZwgzYP8hY<1X0fl@ zuu^!ZHMO{HDVCE{kYw)b0`S$XEaoukYv@#D5JrQGL^IFU@}$!KF=eSdz`0lESXkQqnN z6D+@e9ly^_!0Kj7a=d)Ri2q}+Ie>Y5rnj;pW)W3j1k86QHRg6;G0_TG43$2+_HQ25B4v=d#Wzp$P!cj Date: Thu, 16 Jun 2022 07:15:55 +0000 Subject: [PATCH 008/192] add blank between characters for vits, test=tts --- examples/csmsc/vits/conf/default.yaml | 8 +- examples/csmsc/vits/local/preprocess.sh | 4 + examples/csmsc/vits/local/synthesize_e2e.sh | 6 +- examples/csmsc/vits/run.sh | 5 +- examples/ljspeech/voc0/local/synthesize.sh | 3 +- .../t2s/exps/fastspeech2/normalize.py | 24 +----- .../t2s/exps/fastspeech2/preprocess.py | 9 -- .../t2s/exps/gan_vocoder/normalize.py | 24 +----- .../t2s/exps/gan_vocoder/preprocess.py | 9 -- .../t2s/exps/speedyspeech/normalize.py | 23 ------ .../t2s/exps/speedyspeech/preprocess.py | 9 -- paddlespeech/t2s/exps/tacotron2/preprocess.py | 9 -- .../t2s/exps/transformer_tts/normalize.py | 24 +----- .../t2s/exps/transformer_tts/preprocess.py | 9 -- paddlespeech/t2s/exps/vits/normalize.py | 82 +++++++++++++------ paddlespeech/t2s/exps/vits/preprocess.py | 9 -- paddlespeech/t2s/exps/vits/synthesize_e2e.py | 12 ++- paddlespeech/t2s/exps/vits/train.py | 13 ++- paddlespeech/t2s/exps/waveflow/preprocess.py | 5 -- paddlespeech/t2s/exps/waveflow/synthesize.py | 2 - paddlespeech/t2s/frontend/zh_frontend.py | 42 ++++++++-- paddlespeech/t2s/models/vits/vits.py | 6 +- 22 files changed, 136 insertions(+), 201 deletions(-) diff --git a/examples/csmsc/vits/conf/default.yaml b/examples/csmsc/vits/conf/default.yaml index 47af780dc..32f995cc9 100644 --- a/examples/csmsc/vits/conf/default.yaml +++ b/examples/csmsc/vits/conf/default.yaml @@ -178,6 +178,8 @@ generator_first: False # whether to start updating generator first ########################################################## # OTHER TRAINING SETTING # ########################################################## -max_epoch: 1000 # number of epochs -num_snapshots: 10 # max number of snapshots to keep while training -seed: 777 # random seed number +num_snapshots: 10 # max number of snapshots to keep while training +train_max_steps: 250000 # Number of training steps. == total_iters / ngpus, total_iters = 1000000 +save_interval_steps: 1000 # Interval steps to save checkpoint. +eval_interval_steps: 250 # Interval steps to evaluate the network. +seed: 777 # random seed number diff --git a/examples/csmsc/vits/local/preprocess.sh b/examples/csmsc/vits/local/preprocess.sh index 1d3ae5937..1cd6d1f9b 100755 --- a/examples/csmsc/vits/local/preprocess.sh +++ b/examples/csmsc/vits/local/preprocess.sh @@ -4,6 +4,7 @@ stage=0 stop_stage=100 config_path=$1 +add_blank=$2 if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then # get durations from MFA's result @@ -44,6 +45,7 @@ if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then --feats-stats=dump/train/feats_stats.npy \ --phones-dict=dump/phone_id_map.txt \ --speaker-dict=dump/speaker_id_map.txt \ + --add-blank=${add_blank} \ --skip-wav-copy python3 ${BIN_DIR}/normalize.py \ @@ -52,6 +54,7 @@ if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then --feats-stats=dump/train/feats_stats.npy \ --phones-dict=dump/phone_id_map.txt \ --speaker-dict=dump/speaker_id_map.txt \ + --add-blank=${add_blank} \ --skip-wav-copy python3 ${BIN_DIR}/normalize.py \ @@ -60,5 +63,6 @@ if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then --feats-stats=dump/train/feats_stats.npy \ --phones-dict=dump/phone_id_map.txt \ --speaker-dict=dump/speaker_id_map.txt \ + --add-blank=${add_blank} \ --skip-wav-copy fi diff --git a/examples/csmsc/vits/local/synthesize_e2e.sh b/examples/csmsc/vits/local/synthesize_e2e.sh index edbb07bfc..3f3bf6517 100755 --- a/examples/csmsc/vits/local/synthesize_e2e.sh +++ b/examples/csmsc/vits/local/synthesize_e2e.sh @@ -3,9 +3,12 @@ config_path=$1 train_output_path=$2 ckpt_name=$3 +add_blank=$4 + stage=0 stop_stage=0 + if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then FLAGS_allocator_strategy=naive_best_fit \ FLAGS_fraction_of_gpu_memory_to_use=0.01 \ @@ -14,5 +17,6 @@ if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then --ckpt=${train_output_path}/checkpoints/${ckpt_name} \ --phones_dict=dump/phone_id_map.txt \ --output_dir=${train_output_path}/test_e2e \ - --text=${BIN_DIR}/../sentences.txt + --text=${BIN_DIR}/../sentences.txt \ + --add-blank=${add_blank} fi diff --git a/examples/csmsc/vits/run.sh b/examples/csmsc/vits/run.sh index 80e56e7c1..c284b7b23 100755 --- a/examples/csmsc/vits/run.sh +++ b/examples/csmsc/vits/run.sh @@ -10,6 +10,7 @@ stop_stage=100 conf_path=conf/default.yaml train_output_path=exp/default ckpt_name=snapshot_iter_153.pdz +add_blank=true # with the following command, you can choose the stage range you want to run # such as `./run.sh --stage 0 --stop-stage 0` @@ -18,7 +19,7 @@ source ${MAIN_ROOT}/utils/parse_options.sh || exit 1 if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then # prepare data - ./local/preprocess.sh ${conf_path} || exit -1 + ./local/preprocess.sh ${conf_path} ${add_blank}|| exit -1 fi if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then @@ -32,5 +33,5 @@ fi if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then # synthesize_e2e, vocoder is pwgan - CUDA_VISIBLE_DEVICES=${gpus} ./local/synthesize_e2e.sh ${conf_path} ${train_output_path} ${ckpt_name} || exit -1 + CUDA_VISIBLE_DEVICES=${gpus} ./local/synthesize_e2e.sh ${conf_path} ${train_output_path} ${ckpt_name} ${add_blank}|| exit -1 fi diff --git a/examples/ljspeech/voc0/local/synthesize.sh b/examples/ljspeech/voc0/local/synthesize.sh index 1d5e11836..11874e499 100755 --- a/examples/ljspeech/voc0/local/synthesize.sh +++ b/examples/ljspeech/voc0/local/synthesize.sh @@ -8,5 +8,4 @@ python ${BIN_DIR}/synthesize.py \ --input=${input_mel_path} \ --output=${train_output_path}/wavs/ \ --checkpoint_path=${train_output_path}/checkpoints/${ckpt_name} \ - --ngpu=1 \ - --verbose \ No newline at end of file + --ngpu=1 \ No newline at end of file diff --git a/paddlespeech/t2s/exps/fastspeech2/normalize.py b/paddlespeech/t2s/exps/fastspeech2/normalize.py index 8ec20ebf0..92d10832b 100644 --- a/paddlespeech/t2s/exps/fastspeech2/normalize.py +++ b/paddlespeech/t2s/exps/fastspeech2/normalize.py @@ -58,30 +58,8 @@ def main(): "--phones-dict", type=str, default=None, help="phone vocabulary file.") parser.add_argument( "--speaker-dict", type=str, default=None, help="speaker id map file.") - parser.add_argument( - "--verbose", - type=int, - default=1, - help="logging level. higher is more logging. (default=1)") - args = parser.parse_args() - # set logger - if args.verbose > 1: - logging.basicConfig( - level=logging.DEBUG, - format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s" - ) - elif args.verbose > 0: - logging.basicConfig( - level=logging.INFO, - format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s" - ) - else: - logging.basicConfig( - level=logging.WARN, - format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s" - ) - logging.warning('Skip DEBUG/INFO messages') + args = parser.parse_args() dumpdir = Path(args.dumpdir).expanduser() # use absolute path diff --git a/paddlespeech/t2s/exps/fastspeech2/preprocess.py b/paddlespeech/t2s/exps/fastspeech2/preprocess.py index eac75f982..0045c5a33 100644 --- a/paddlespeech/t2s/exps/fastspeech2/preprocess.py +++ b/paddlespeech/t2s/exps/fastspeech2/preprocess.py @@ -209,11 +209,6 @@ def main(): parser.add_argument("--config", type=str, help="fastspeech2 config file.") - parser.add_argument( - "--verbose", - type=int, - default=1, - help="logging level. higher is more logging. (default=1)") parser.add_argument( "--num-cpu", type=int, default=1, help="number of process.") @@ -248,10 +243,6 @@ def main(): with open(args.config, 'rt') as f: config = CfgNode(yaml.safe_load(f)) - if args.verbose > 1: - print(vars(args)) - print(config) - sentences, speaker_set = get_phn_dur(dur_file) merge_silence(sentences) diff --git a/paddlespeech/t2s/exps/gan_vocoder/normalize.py b/paddlespeech/t2s/exps/gan_vocoder/normalize.py index ba95d3ed6..4cb7e41c5 100644 --- a/paddlespeech/t2s/exps/gan_vocoder/normalize.py +++ b/paddlespeech/t2s/exps/gan_vocoder/normalize.py @@ -47,30 +47,8 @@ def main(): default=False, action="store_true", help="whether to skip the copy of wav files.") - parser.add_argument( - "--verbose", - type=int, - default=1, - help="logging level. higher is more logging. (default=1)") - args = parser.parse_args() - # set logger - if args.verbose > 1: - logging.basicConfig( - level=logging.DEBUG, - format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s" - ) - elif args.verbose > 0: - logging.basicConfig( - level=logging.INFO, - format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s" - ) - else: - logging.basicConfig( - level=logging.WARN, - format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s" - ) - logging.warning('Skip DEBUG/INFO messages') + args = parser.parse_args() dumpdir = Path(args.dumpdir).expanduser() # use absolute path diff --git a/paddlespeech/t2s/exps/gan_vocoder/preprocess.py b/paddlespeech/t2s/exps/gan_vocoder/preprocess.py index 546367964..05c657682 100644 --- a/paddlespeech/t2s/exps/gan_vocoder/preprocess.py +++ b/paddlespeech/t2s/exps/gan_vocoder/preprocess.py @@ -167,11 +167,6 @@ def main(): required=True, help="directory to dump feature files.") parser.add_argument("--config", type=str, help="vocoder config file.") - parser.add_argument( - "--verbose", - type=int, - default=1, - help="logging level. higher is more logging. (default=1)") parser.add_argument( "--num-cpu", type=int, default=1, help="number of process.") parser.add_argument( @@ -197,10 +192,6 @@ def main(): with open(args.config, 'rt') as f: config = CfgNode(yaml.safe_load(f)) - if args.verbose > 1: - print(vars(args)) - print(config) - sentences, speaker_set = get_phn_dur(dur_file) merge_silence(sentences) diff --git a/paddlespeech/t2s/exps/speedyspeech/normalize.py b/paddlespeech/t2s/exps/speedyspeech/normalize.py index 249a4d6d8..f29466f65 100644 --- a/paddlespeech/t2s/exps/speedyspeech/normalize.py +++ b/paddlespeech/t2s/exps/speedyspeech/normalize.py @@ -50,11 +50,6 @@ def main(): "--tones-dict", type=str, default=None, help="tone vocabulary file.") parser.add_argument( "--speaker-dict", type=str, default=None, help="speaker id map file.") - parser.add_argument( - "--verbose", - type=int, - default=1, - help="logging level. higher is more logging. (default=1)") parser.add_argument( "--use-relative-path", @@ -63,24 +58,6 @@ def main(): help="whether use relative path in metadata") args = parser.parse_args() - # set logger - if args.verbose > 1: - logging.basicConfig( - level=logging.DEBUG, - format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s" - ) - elif args.verbose > 0: - logging.basicConfig( - level=logging.INFO, - format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s" - ) - else: - logging.basicConfig( - level=logging.WARN, - format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s" - ) - logging.warning('Skip DEBUG/INFO messages') - dumpdir = Path(args.dumpdir).expanduser() # use absolute path dumpdir = dumpdir.resolve() diff --git a/paddlespeech/t2s/exps/speedyspeech/preprocess.py b/paddlespeech/t2s/exps/speedyspeech/preprocess.py index aa7608d6b..e4084c142 100644 --- a/paddlespeech/t2s/exps/speedyspeech/preprocess.py +++ b/paddlespeech/t2s/exps/speedyspeech/preprocess.py @@ -195,11 +195,6 @@ def main(): parser.add_argument("--config", type=str, help="fastspeech2 config file.") - parser.add_argument( - "--verbose", - type=int, - default=1, - help="logging level. higher is more logging. (default=1)") parser.add_argument( "--num-cpu", type=int, default=1, help="number of process.") @@ -230,10 +225,6 @@ def main(): with open(args.config, 'rt') as f: config = CfgNode(yaml.safe_load(f)) - if args.verbose > 1: - print(vars(args)) - print(config) - sentences, speaker_set = get_phn_dur(dur_file) merge_silence(sentences) diff --git a/paddlespeech/t2s/exps/tacotron2/preprocess.py b/paddlespeech/t2s/exps/tacotron2/preprocess.py index 6137da7f1..c27b9769b 100644 --- a/paddlespeech/t2s/exps/tacotron2/preprocess.py +++ b/paddlespeech/t2s/exps/tacotron2/preprocess.py @@ -184,11 +184,6 @@ def main(): parser.add_argument("--config", type=str, help="fastspeech2 config file.") - parser.add_argument( - "--verbose", - type=int, - default=1, - help="logging level. higher is more logging. (default=1)") parser.add_argument( "--num-cpu", type=int, default=1, help="number of process.") @@ -223,10 +218,6 @@ def main(): with open(args.config, 'rt') as f: config = CfgNode(yaml.safe_load(f)) - if args.verbose > 1: - print(vars(args)) - print(config) - sentences, speaker_set = get_phn_dur(dur_file) merge_silence(sentences) diff --git a/paddlespeech/t2s/exps/transformer_tts/normalize.py b/paddlespeech/t2s/exps/transformer_tts/normalize.py index 87e975b88..e5f052c60 100644 --- a/paddlespeech/t2s/exps/transformer_tts/normalize.py +++ b/paddlespeech/t2s/exps/transformer_tts/normalize.py @@ -51,30 +51,8 @@ def main(): "--phones-dict", type=str, default=None, help="phone vocabulary file.") parser.add_argument( "--speaker-dict", type=str, default=None, help="speaker id map file.") - parser.add_argument( - "--verbose", - type=int, - default=1, - help="logging level. higher is more logging. (default=1)") - args = parser.parse_args() - # set logger - if args.verbose > 1: - logging.basicConfig( - level=logging.DEBUG, - format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s" - ) - elif args.verbose > 0: - logging.basicConfig( - level=logging.INFO, - format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s" - ) - else: - logging.basicConfig( - level=logging.WARN, - format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s" - ) - logging.warning('Skip DEBUG/INFO messages') + args = parser.parse_args() # check directory existence dumpdir = Path(args.dumpdir).resolve() diff --git a/paddlespeech/t2s/exps/transformer_tts/preprocess.py b/paddlespeech/t2s/exps/transformer_tts/preprocess.py index 28ca3de6e..2ebd5ecc2 100644 --- a/paddlespeech/t2s/exps/transformer_tts/preprocess.py +++ b/paddlespeech/t2s/exps/transformer_tts/preprocess.py @@ -186,11 +186,6 @@ def main(): type=str, help="yaml format configuration file.") - parser.add_argument( - "--verbose", - type=int, - default=1, - help="logging level. higher is more logging. (default=1)") parser.add_argument( "--num-cpu", type=int, default=1, help="number of process.") @@ -210,10 +205,6 @@ def main(): _C = Configuration(_C) config = _C.clone() - if args.verbose > 1: - print(vars(args)) - print(config) - phone_id_map_path = dumpdir / "phone_id_map.txt" speaker_id_map_path = dumpdir / "speaker_id_map.txt" diff --git a/paddlespeech/t2s/exps/vits/normalize.py b/paddlespeech/t2s/exps/vits/normalize.py index 6fc8adb06..5881ae95c 100644 --- a/paddlespeech/t2s/exps/vits/normalize.py +++ b/paddlespeech/t2s/exps/vits/normalize.py @@ -16,6 +16,7 @@ import argparse import logging from operator import itemgetter from pathlib import Path +from typing import List import jsonlines import numpy as np @@ -23,6 +24,50 @@ from sklearn.preprocessing import StandardScaler from tqdm import tqdm from paddlespeech.t2s.datasets.data_table import DataTable +from paddlespeech.t2s.utils import str2bool + +INITIALS = [ + 'b', 'p', 'm', 'f', 'd', 't', 'n', 'l', 'g', 'k', 'h', 'zh', 'ch', 'sh', + 'r', 'z', 'c', 's', 'j', 'q', 'x' +] +INITIALS += ['y', 'w', 'sp', 'spl', 'spn', 'sil'] + + +def intersperse(lst, item): + result = [item] * (len(lst) * 2 + 1) + result[1::2] = lst + return result + + +def insert_after_character(lst, item): + result = [item] + for phone in lst: + result.append(phone) + if phone not in INITIALS: + # finals has tones + assert phone[-1] in "12345" + result.append(item) + return result + + +def add_blank(phones: List[str], + filed: str="character", + blank_token: str=""): + if filed == "phone": + """ + add blank after phones + input: ["n", "i3", "h", "ao3", "m", "a5"] + output: ["n", "", "i3", "", "h", "", "ao3", "", "m", "", "a5"] + """ + phones = intersperse(phones, blank_token) + elif filed == "character": + """ + add blank after characters + input: ["n", "i3", "h", "ao3"] + output: ["n", "i3", "", "h", "ao3", "", "m", "a5"] + """ + phones = insert_after_character(phones, blank_token) + return phones def main(): @@ -58,29 +103,12 @@ def main(): parser.add_argument( "--speaker-dict", type=str, default=None, help="speaker id map file.") parser.add_argument( - "--verbose", - type=int, - default=1, - help="logging level. higher is more logging. (default=1)") - args = parser.parse_args() + "--add-blank", + type=str2bool, + default=True, + help="whether to add blank between phones") - # set logger - if args.verbose > 1: - logging.basicConfig( - level=logging.DEBUG, - format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s" - ) - elif args.verbose > 0: - logging.basicConfig( - level=logging.INFO, - format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s" - ) - else: - logging.basicConfig( - level=logging.WARN, - format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s" - ) - logging.warning('Skip DEBUG/INFO messages') + args = parser.parse_args() dumpdir = Path(args.dumpdir).expanduser() # use absolute path @@ -135,13 +163,19 @@ def main(): else: wav_path = wave - phone_ids = [vocab_phones[p] for p in item['phones']] + phones = item['phones'] + text_lengths = item['text_lengths'] + if args.add_blank: + phones = add_blank(phones, filed="character") + text_lengths = len(phones) + + phone_ids = [vocab_phones[p] for p in phones] spk_id = vocab_speaker[item["speaker"]] record = { "utt_id": item['utt_id'], "text": phone_ids, - "text_lengths": item['text_lengths'], + "text_lengths": text_lengths, 'feats': str(feats_path), "feats_lengths": item['feats_lengths'], "wave": str(wav_path), diff --git a/paddlespeech/t2s/exps/vits/preprocess.py b/paddlespeech/t2s/exps/vits/preprocess.py index 6aa139fb5..f89ab356f 100644 --- a/paddlespeech/t2s/exps/vits/preprocess.py +++ b/paddlespeech/t2s/exps/vits/preprocess.py @@ -197,11 +197,6 @@ def main(): parser.add_argument("--config", type=str, help="fastspeech2 config file.") - parser.add_argument( - "--verbose", - type=int, - default=1, - help="logging level. higher is more logging. (default=1)") parser.add_argument( "--num-cpu", type=int, default=1, help="number of process.") @@ -236,10 +231,6 @@ def main(): with open(args.config, 'rt') as f: config = CfgNode(yaml.safe_load(f)) - if args.verbose > 1: - print(vars(args)) - print(config) - sentences, speaker_set = get_phn_dur(dur_file) merge_silence(sentences) diff --git a/paddlespeech/t2s/exps/vits/synthesize_e2e.py b/paddlespeech/t2s/exps/vits/synthesize_e2e.py index c82e5c039..33a413751 100644 --- a/paddlespeech/t2s/exps/vits/synthesize_e2e.py +++ b/paddlespeech/t2s/exps/vits/synthesize_e2e.py @@ -23,6 +23,7 @@ from yacs.config import CfgNode from paddlespeech.t2s.exps.syn_utils import get_frontend from paddlespeech.t2s.exps.syn_utils import get_sentences from paddlespeech.t2s.models.vits import VITS +from paddlespeech.t2s.utils import str2bool def evaluate(args): @@ -55,6 +56,7 @@ def evaluate(args): output_dir = Path(args.output_dir) output_dir.mkdir(parents=True, exist_ok=True) merge_sentences = False + add_blank = args.add_blank N = 0 T = 0 @@ -62,7 +64,9 @@ def evaluate(args): with timer() as t: if args.lang == 'zh': input_ids = frontend.get_input_ids( - sentence, merge_sentences=merge_sentences) + sentence, + merge_sentences=merge_sentences, + add_blank=add_blank) phone_ids = input_ids["phone_ids"] elif args.lang == 'en': input_ids = frontend.get_input_ids( @@ -125,6 +129,12 @@ def parse_args(): help="text to synthesize, a 'utt_id sentence' pair per line.") parser.add_argument("--output_dir", type=str, help="output dir.") + parser.add_argument( + "--add-blank", + type=str2bool, + default=True, + help="whether to add blank between phones") + args = parser.parse_args() return args diff --git a/paddlespeech/t2s/exps/vits/train.py b/paddlespeech/t2s/exps/vits/train.py index dbda8b717..1a68d1326 100644 --- a/paddlespeech/t2s/exps/vits/train.py +++ b/paddlespeech/t2s/exps/vits/train.py @@ -211,13 +211,18 @@ def train_sp(args, config): generator_first=config.generator_first, output_dir=output_dir) - trainer = Trainer(updater, (config.max_epoch, 'epoch'), output_dir) + trainer = Trainer( + updater, + stop_trigger=(config.train_max_steps, "iteration"), + out=output_dir) if dist.get_rank() == 0: - trainer.extend(evaluator, trigger=(1, "epoch")) - trainer.extend(VisualDL(output_dir), trigger=(1, "iteration")) + trainer.extend( + evaluator, trigger=(config.eval_interval_steps, 'iteration')) + trainer.extend(VisualDL(output_dir), trigger=(1, 'iteration')) trainer.extend( - Snapshot(max_size=config.num_snapshots), trigger=(1, 'epoch')) + Snapshot(max_size=config.num_snapshots), + trigger=(config.save_interval_steps, 'iteration')) print("Trainer Done!") trainer.run() diff --git a/paddlespeech/t2s/exps/waveflow/preprocess.py b/paddlespeech/t2s/exps/waveflow/preprocess.py index ef3a29175..c7034aeab 100644 --- a/paddlespeech/t2s/exps/waveflow/preprocess.py +++ b/paddlespeech/t2s/exps/waveflow/preprocess.py @@ -143,8 +143,6 @@ if __name__ == "__main__": nargs=argparse.REMAINDER, help="options to overwrite --config file and the default config, passing in KEY VALUE pairs" ) - parser.add_argument( - "-v", "--verbose", action="store_true", help="print msg") config = get_cfg_defaults() args = parser.parse_args() @@ -153,8 +151,5 @@ if __name__ == "__main__": if args.opts: config.merge_from_list(args.opts) config.freeze() - if args.verbose: - print(config.data) - print(args) create_dataset(config.data, args.input, args.output) diff --git a/paddlespeech/t2s/exps/waveflow/synthesize.py b/paddlespeech/t2s/exps/waveflow/synthesize.py index 53715b01e..a3190c6e5 100644 --- a/paddlespeech/t2s/exps/waveflow/synthesize.py +++ b/paddlespeech/t2s/exps/waveflow/synthesize.py @@ -72,8 +72,6 @@ if __name__ == "__main__": nargs=argparse.REMAINDER, help="options to overwrite --config file and the default config, passing in KEY VALUE pairs" ) - parser.add_argument( - "-v", "--verbose", action="store_true", help="print msg") args = parser.parse_args() if args.config: diff --git a/paddlespeech/t2s/frontend/zh_frontend.py b/paddlespeech/t2s/frontend/zh_frontend.py index 129aa944e..143ccbc15 100644 --- a/paddlespeech/t2s/frontend/zh_frontend.py +++ b/paddlespeech/t2s/frontend/zh_frontend.py @@ -29,6 +29,29 @@ from paddlespeech.t2s.frontend.generate_lexicon import generate_lexicon from paddlespeech.t2s.frontend.tone_sandhi import ToneSandhi from paddlespeech.t2s.frontend.zh_normalization.text_normlization import TextNormalizer +INITIALS = [ + 'b', 'p', 'm', 'f', 'd', 't', 'n', 'l', 'g', 'k', 'h', 'zh', 'ch', 'sh', + 'r', 'z', 'c', 's', 'j', 'q', 'x' +] +INITIALS += ['y', 'w', 'sp', 'spl', 'spn', 'sil'] + + +def intersperse(lst, item): + result = [item] * (len(lst) * 2 + 1) + result[1::2] = lst + return result + + +def insert_after_character(lst, item): + result = [item] + for phone in lst: + result.append(phone) + if phone not in INITIALS: + # finals has tones + # assert phone[-1] in "12345" + result.append(item) + return result + class Frontend(): def __init__(self, @@ -280,12 +303,15 @@ class Frontend(): print("----------------------------") return phonemes - def get_input_ids(self, - sentence: str, - merge_sentences: bool=True, - get_tone_ids: bool=False, - robot: bool=False, - print_info: bool=False) -> Dict[str, List[paddle.Tensor]]: + def get_input_ids( + self, + sentence: str, + merge_sentences: bool=True, + get_tone_ids: bool=False, + robot: bool=False, + print_info: bool=False, + add_blank: bool=False, + blank_token: str="") -> Dict[str, List[paddle.Tensor]]: phonemes = self.get_phonemes( sentence, merge_sentences=merge_sentences, @@ -299,6 +325,10 @@ class Frontend(): for part_phonemes in phonemes: phones, tones = self._get_phone_tone( part_phonemes, get_tone_ids=get_tone_ids) + + if add_blank: + phones = insert_after_character(phones, blank_token) + if tones: tone_ids = self._t2id(tones) tone_ids = paddle.to_tensor(tone_ids) diff --git a/paddlespeech/t2s/models/vits/vits.py b/paddlespeech/t2s/models/vits/vits.py index ab8eda26d..5c476be77 100644 --- a/paddlespeech/t2s/models/vits/vits.py +++ b/paddlespeech/t2s/models/vits/vits.py @@ -227,11 +227,7 @@ class VITS(nn.Layer): lids (Optional[Tensor]): Language index tensor (B,) or (B, 1). forward_generator (bool): Whether to forward generator. Returns: - Dict[str, Any]: - - loss (Tensor): Loss scalar tensor. - - stats (Dict[str, float]): Statistics to be monitored. - - weight (Tensor): Weight tensor to summarize losses. - - optim_idx (int): Optimizer index (0 for G and 1 for D). + """ if forward_generator: return self._forward_generator( From 357b177232eac9cbac939e18394ec9b531f53689 Mon Sep 17 00:00:00 2001 From: iftaken Date: Thu, 16 Jun 2022 15:34:26 +0800 Subject: [PATCH 009/192] rename readme and fixed conflict --- demos/speech_web/{README.MD => README_cn.md} | 0 paddlespeech/server/bin/paddlespeech_server.py | 4 ---- 2 files changed, 4 deletions(-) rename demos/speech_web/{README.MD => README_cn.md} (100%) diff --git a/demos/speech_web/README.MD b/demos/speech_web/README_cn.md similarity index 100% rename from demos/speech_web/README.MD rename to demos/speech_web/README_cn.md diff --git a/paddlespeech/server/bin/paddlespeech_server.py b/paddlespeech/server/bin/paddlespeech_server.py index 57d728872..175e8ffb6 100644 --- a/paddlespeech/server/bin/paddlespeech_server.py +++ b/paddlespeech/server/bin/paddlespeech_server.py @@ -45,10 +45,6 @@ app.add_middleware( allow_credentials=True, allow_methods=["*"], allow_headers=["*"]) -<<<<<<< HEAD -======= - ->>>>>>> develop @cli_server_register( name='paddlespeech_server.start', description='Start the service') From 86790c7a2770ec7108a8ab1b257e26cf24d6d7c0 Mon Sep 17 00:00:00 2001 From: vpegasus Date: Fri, 17 Jun 2022 00:20:42 +0800 Subject: [PATCH 010/192] Update README.md As invited, add my repo links, and follow the format. --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index c9d4796c8..df803483f 100644 --- a/README.md +++ b/README.md @@ -696,6 +696,7 @@ You are warmly welcome to submit questions in [discussions](https://github.com/P - Many thanks to [awmmmm](https://github.com/awmmmm) for contributing fastspeech2 aishell3 conformer pretrained model. - Many thanks to [phecda-xu](https://github.com/phecda-xu)/[PaddleDubbing](https://github.com/phecda-xu/PaddleDubbing) for developing a dubbing tool with GUI based on PaddleSpeech TTS model. - Many thanks to [jerryuhoo](https://github.com/jerryuhoo)/[VTuberTalk](https://github.com/jerryuhoo/VTuberTalk) for developing a GUI tool based on PaddleSpeech TTS and code for making datasets from videos based on PaddleSpeech ASR. +- Many thanks to [vpegasus](https://github.com/vpegasus)/[VTuberTalk](https://github.com/vpegasus/xuesebot) for developing a rasa chatbot,which is able to speak and listen thanks to PaddleSpeech. Besides, PaddleSpeech depends on a lot of open source repositories. See [references](./docs/source/reference.md) for more information. From fe345409bb469fb77f5feed381e748f7a9ebfad2 Mon Sep 17 00:00:00 2001 From: KP <109694228@qq.com> Date: Fri, 17 Jun 2022 14:42:28 +0800 Subject: [PATCH 011/192] Fix circular import error in paddlespeech.cli.utils and paddlespeech.audio --- paddlespeech/audio/utils/__init__.py | 4 +-- paddlespeech/cli/utils.py | 33 +------------------ paddlespeech/resource/resource.py | 2 +- .../engine/asr/online/onnx/asr_engine.py | 2 +- .../asr/online/paddleinference/asr_engine.py | 2 +- .../engine/asr/online/python/asr_engine.py | 2 +- .../engine/asr/paddleinference/asr_engine.py | 2 +- 7 files changed, 8 insertions(+), 39 deletions(-) diff --git a/paddlespeech/audio/utils/__init__.py b/paddlespeech/audio/utils/__init__.py index 742f9f8ef..f1e5deb0a 100644 --- a/paddlespeech/audio/utils/__init__.py +++ b/paddlespeech/audio/utils/__init__.py @@ -11,8 +11,8 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -from ...cli.utils import DATA_HOME -from ...cli.utils import MODEL_HOME +from ...utils.env import DATA_HOME +from ...utils.env import MODEL_HOME from .download import decompress from .download import download_and_decompress from .download import load_state_dict_from_url diff --git a/paddlespeech/cli/utils.py b/paddlespeech/cli/utils.py index 21c887e99..d9c092f80 100644 --- a/paddlespeech/cli/utils.py +++ b/paddlespeech/cli/utils.py @@ -30,6 +30,7 @@ from paddle.framework import load import paddlespeech.audio from . import download +from ..utils.env import CONF_HOME from .entry import commands try: from .. import __version__ @@ -161,38 +162,6 @@ def load_state_dict_from_url(url: str, path: str, md5: str=None) -> os.PathLike: return load(os.path.join(path, os.path.basename(url))) -def _get_user_home(): - return os.path.expanduser('~') - - -def _get_paddlespcceh_home(): - if 'PPSPEECH_HOME' in os.environ: - home_path = os.environ['PPSPEECH_HOME'] - if os.path.exists(home_path): - if os.path.isdir(home_path): - return home_path - else: - raise RuntimeError( - 'The environment variable PPSPEECH_HOME {} is not a directory.'. - format(home_path)) - else: - return home_path - return os.path.join(_get_user_home(), '.paddlespeech') - - -def _get_sub_home(directory): - home = os.path.join(_get_paddlespcceh_home(), directory) - if not os.path.exists(home): - os.makedirs(home) - return home - - -PPSPEECH_HOME = _get_paddlespcceh_home() -MODEL_HOME = _get_sub_home('models') -CONF_HOME = _get_sub_home('conf') -DATA_HOME = _get_sub_home('datasets') - - def _md5(text: str): '''Calculate the md5 value of the input text.''' md5code = hashlib.md5(text.encode()) diff --git a/paddlespeech/resource/resource.py b/paddlespeech/resource/resource.py index 15112ba7d..45707eb44 100644 --- a/paddlespeech/resource/resource.py +++ b/paddlespeech/resource/resource.py @@ -18,8 +18,8 @@ from typing import List from typing import Optional from ..cli.utils import download_and_decompress -from ..cli.utils import MODEL_HOME from ..utils.dynamic_import import dynamic_import +from ..utils.env import MODEL_HOME from .model_alias import model_alias task_supported = ['asr', 'cls', 'st', 'text', 'tts', 'vector'] diff --git a/paddlespeech/server/engine/asr/online/onnx/asr_engine.py b/paddlespeech/server/engine/asr/online/onnx/asr_engine.py index aab29f78e..067931643 100644 --- a/paddlespeech/server/engine/asr/online/onnx/asr_engine.py +++ b/paddlespeech/server/engine/asr/online/onnx/asr_engine.py @@ -23,7 +23,6 @@ from yacs.config import CfgNode from paddlespeech.cli.asr.infer import ASRExecutor from paddlespeech.cli.log import logger -from paddlespeech.cli.utils import MODEL_HOME from paddlespeech.resource import CommonTaskResource from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer from paddlespeech.s2t.modules.ctc import CTCDecoder @@ -31,6 +30,7 @@ from paddlespeech.s2t.transform.transformation import Transformation from paddlespeech.s2t.utils.utility import UpdateConfig from paddlespeech.server.engine.base_engine import BaseEngine from paddlespeech.server.utils import onnx_infer +from paddlespeech.utils.env import MODEL_HOME __all__ = ['PaddleASRConnectionHanddler', 'ASRServerExecutor', 'ASREngine'] diff --git a/paddlespeech/server/engine/asr/online/paddleinference/asr_engine.py b/paddlespeech/server/engine/asr/online/paddleinference/asr_engine.py index a450e430b..efb726aaf 100644 --- a/paddlespeech/server/engine/asr/online/paddleinference/asr_engine.py +++ b/paddlespeech/server/engine/asr/online/paddleinference/asr_engine.py @@ -23,7 +23,6 @@ from yacs.config import CfgNode from paddlespeech.cli.asr.infer import ASRExecutor from paddlespeech.cli.log import logger -from paddlespeech.cli.utils import MODEL_HOME from paddlespeech.resource import CommonTaskResource from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer from paddlespeech.s2t.modules.ctc import CTCDecoder @@ -31,6 +30,7 @@ from paddlespeech.s2t.transform.transformation import Transformation from paddlespeech.s2t.utils.utility import UpdateConfig from paddlespeech.server.engine.base_engine import BaseEngine from paddlespeech.server.utils.paddle_predictor import init_predictor +from paddlespeech.utils.env import MODEL_HOME __all__ = ['PaddleASRConnectionHanddler', 'ASRServerExecutor', 'ASREngine'] diff --git a/paddlespeech/server/engine/asr/online/python/asr_engine.py b/paddlespeech/server/engine/asr/online/python/asr_engine.py index c22cbbe5f..daa9fc500 100644 --- a/paddlespeech/server/engine/asr/online/python/asr_engine.py +++ b/paddlespeech/server/engine/asr/online/python/asr_engine.py @@ -23,7 +23,6 @@ from yacs.config import CfgNode from paddlespeech.cli.asr.infer import ASRExecutor from paddlespeech.cli.log import logger -from paddlespeech.cli.utils import MODEL_HOME from paddlespeech.resource import CommonTaskResource from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer from paddlespeech.s2t.modules.ctc import CTCDecoder @@ -36,6 +35,7 @@ from paddlespeech.server.engine.asr.online.ctc_endpoint import OnlineCTCEndpoint from paddlespeech.server.engine.asr.online.ctc_search import CTCPrefixBeamSearch from paddlespeech.server.engine.base_engine import BaseEngine from paddlespeech.server.utils.paddle_predictor import init_predictor +from paddlespeech.utils.env import MODEL_HOME __all__ = ['PaddleASRConnectionHanddler', 'ASRServerExecutor', 'ASREngine'] diff --git a/paddlespeech/server/engine/asr/paddleinference/asr_engine.py b/paddlespeech/server/engine/asr/paddleinference/asr_engine.py index 1a3b4620a..572004eb8 100644 --- a/paddlespeech/server/engine/asr/paddleinference/asr_engine.py +++ b/paddlespeech/server/engine/asr/paddleinference/asr_engine.py @@ -21,7 +21,6 @@ from yacs.config import CfgNode from paddlespeech.cli.asr.infer import ASRExecutor from paddlespeech.cli.log import logger -from paddlespeech.cli.utils import MODEL_HOME from paddlespeech.resource import CommonTaskResource from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer from paddlespeech.s2t.modules.ctc import CTCDecoder @@ -29,6 +28,7 @@ from paddlespeech.s2t.utils.utility import UpdateConfig from paddlespeech.server.engine.base_engine import BaseEngine from paddlespeech.server.utils.paddle_predictor import init_predictor from paddlespeech.server.utils.paddle_predictor import run_model +from paddlespeech.utils.env import MODEL_HOME __all__ = ['ASREngine', 'PaddleASRConnectionHandler'] From fc5f0b14e06dae7f930492265bb6d25379ee92e6 Mon Sep 17 00:00:00 2001 From: KP <109694228@qq.com> Date: Fri, 17 Jun 2022 14:50:46 +0800 Subject: [PATCH 012/192] Fix circular import error in paddlespeech.cli.utils and paddlespeech.audio --- paddlespeech/utils/env.py | 33 +++++++++++++++++++++++++++++++++ 1 file changed, 33 insertions(+) create mode 100644 paddlespeech/utils/env.py diff --git a/paddlespeech/utils/env.py b/paddlespeech/utils/env.py new file mode 100644 index 000000000..18e8ca45e --- /dev/null +++ b/paddlespeech/utils/env.py @@ -0,0 +1,33 @@ +import os + + +def _get_user_home(): + return os.path.expanduser('~') + + +def _get_paddlespcceh_home(): + if 'PPSPEECH_HOME' in os.environ: + home_path = os.environ['PPSPEECH_HOME'] + if os.path.exists(home_path): + if os.path.isdir(home_path): + return home_path + else: + raise RuntimeError( + 'The environment variable PPSPEECH_HOME {} is not a directory.'. + format(home_path)) + else: + return home_path + return os.path.join(_get_user_home(), '.paddlespeech') + + +def _get_sub_home(directory): + home = os.path.join(_get_paddlespcceh_home(), directory) + if not os.path.exists(home): + os.makedirs(home) + return home + + +PPSPEECH_HOME = _get_paddlespcceh_home() +MODEL_HOME = _get_sub_home('models') +CONF_HOME = _get_sub_home('conf') +DATA_HOME = _get_sub_home('datasets') From 220bcffac8eea7ef6948bcb817e3b636257831c1 Mon Sep 17 00:00:00 2001 From: KP <109694228@qq.com> Date: Fri, 17 Jun 2022 15:08:15 +0800 Subject: [PATCH 013/192] Fix circular import error in paddlespeech.cli.utils and paddlespeech.audio --- paddlespeech/utils/env.py | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/paddlespeech/utils/env.py b/paddlespeech/utils/env.py index 18e8ca45e..03c8757bc 100644 --- a/paddlespeech/utils/env.py +++ b/paddlespeech/utils/env.py @@ -1,3 +1,16 @@ +# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import os From 80adf54a1038bbf300537c18eb93a2cb8743c281 Mon Sep 17 00:00:00 2001 From: iftaken Date: Fri, 17 Jun 2022 15:29:06 +0800 Subject: [PATCH 014/192] remove error url for paddlepaddle --- demos/speech_web/README_cn.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/demos/speech_web/README_cn.md b/demos/speech_web/README_cn.md index cfcbe5595..0de4ed512 100644 --- a/demos/speech_web/README_cn.md +++ b/demos/speech_web/README_cn.md @@ -65,7 +65,7 @@ yarn dev --port 8011 ## Docker启动 ### 后端docker -后端docker使用[paddlepaddle官方docker](https://www.paddlepaddle.org.cn/),这里演示CPU版本 +后端docker使用[paddlepaddle官方docker](https://www.paddlepaddle.org.cn),这里演示CPU版本 ``` # 拉取PaddleSpeech项目 cd PaddleSpeechServer From b452be3d8deeb1cdf4ce0378e6f28a4276d8ef0c Mon Sep 17 00:00:00 2001 From: KP <109694228@qq.com> Date: Fri, 17 Jun 2022 15:31:54 +0800 Subject: [PATCH 015/192] Fix circular import error in paddlespeech.cli.utils and paddlespeech.audio --- paddlespeech/cli/asr/infer.py | 2 +- paddlespeech/cli/st/infer.py | 2 +- paddlespeech/cls/models/panns/panns.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/paddlespeech/cli/asr/infer.py b/paddlespeech/cli/asr/infer.py index a943ccfa7..24839a898 100644 --- a/paddlespeech/cli/asr/infer.py +++ b/paddlespeech/cli/asr/infer.py @@ -26,11 +26,11 @@ import paddle import soundfile from yacs.config import CfgNode +from ...utils.env import MODEL_HOME from ..download import get_path_from_url from ..executor import BaseExecutor from ..log import logger from ..utils import CLI_TIMER -from ..utils import MODEL_HOME from ..utils import stats_wrapper from ..utils import timer_register from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer diff --git a/paddlespeech/cli/st/infer.py b/paddlespeech/cli/st/infer.py index e1ce181af..4e099c402 100644 --- a/paddlespeech/cli/st/infer.py +++ b/paddlespeech/cli/st/infer.py @@ -26,10 +26,10 @@ import soundfile from kaldiio import WriteHelper from yacs.config import CfgNode +from ...utils.env import MODEL_HOME from ..executor import BaseExecutor from ..log import logger from ..utils import download_and_decompress -from ..utils import MODEL_HOME from ..utils import stats_wrapper from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer from paddlespeech.s2t.utils.utility import UpdateConfig diff --git a/paddlespeech/cls/models/panns/panns.py b/paddlespeech/cls/models/panns/panns.py index 4befe7aa4..37deae80c 100644 --- a/paddlespeech/cls/models/panns/panns.py +++ b/paddlespeech/cls/models/panns/panns.py @@ -16,8 +16,8 @@ import os import paddle.nn as nn import paddle.nn.functional as F -from paddlespeech.audio.utils import MODEL_HOME from paddlespeech.audio.utils.download import load_state_dict_from_url +from paddlespeech.utils.env import MODEL_HOME __all__ = ['CNN14', 'CNN10', 'CNN6', 'cnn14', 'cnn10', 'cnn6'] From 3cf1f1f0b5e2c29f29e8c9c17c0b1b36d7cc6548 Mon Sep 17 00:00:00 2001 From: Hui Zhang Date: Fri, 17 Jun 2022 07:59:05 +0000 Subject: [PATCH 016/192] support onnx quantize --- .../conf/ws_ds2_application.yaml | 44 +++++++++---------- .../server/conf/ws_ds2_application.yaml | 44 +++++++++---------- speechx/examples/ds2_ol/onnx/README.md | 23 ++++++++-- .../ds2_ol/onnx/local/onnx_convert_opset.py | 30 +++++++++++++ .../ds2_ol/onnx/local/ort_dyanmic_quant.py | 43 ++++++++++++++++++ speechx/examples/ds2_ol/onnx/local/tonnx.sh | 3 +- speechx/examples/ds2_ol/onnx/run.sh | 12 +++++ 7 files changed, 151 insertions(+), 48 deletions(-) create mode 100755 speechx/examples/ds2_ol/onnx/local/onnx_convert_opset.py create mode 100755 speechx/examples/ds2_ol/onnx/local/ort_dyanmic_quant.py diff --git a/demos/streaming_asr_server/conf/ws_ds2_application.yaml b/demos/streaming_asr_server/conf/ws_ds2_application.yaml index e36a829cc..ac20b2a23 100644 --- a/demos/streaming_asr_server/conf/ws_ds2_application.yaml +++ b/demos/streaming_asr_server/conf/ws_ds2_application.yaml @@ -18,12 +18,13 @@ engine_list: ['asr_online-onnx'] # ENGINE CONFIG # ################################################################################# + ################################### ASR ######################################### -################### speech task: asr; engine_type: online-inference ####################### -asr_online-inference: +################### speech task: asr; engine_type: online-onnx ####################### +asr_online-onnx: model_type: 'deepspeech2online_wenetspeech' - am_model: # the pdmodel file of am static model [optional] - am_params: # the pdiparams file of am static model [optional] + am_model: # the pdmodel file of onnx am static model [optional] + am_params: # the pdiparams file of am static model [optional] lang: 'zh' sample_rate: 16000 cfg_path: @@ -32,11 +33,14 @@ asr_online-inference: force_yes: True device: 'cpu' # cpu or gpu:id + # https://onnxruntime.ai/docs/api/python/api_summary.html#inferencesession am_predictor_conf: - device: # set 'gpu:id' or 'cpu' - switch_ir_optim: True - glog_info: False # True -> print glog - summary: True # False -> do not show predictor config + device: 'cpu' # set 'gpu:id' or 'cpu' + graph_optimization_level: 0 + intra_op_num_threads: 0 # Sets the number of threads used to parallelize the execution within nodes. + inter_op_num_threads: 0 # Sets the number of threads used to parallelize the execution of the graph (across nodes). + log_severity_level: 2 # Log severity level. Applies to session load, initialization, etc. 0:Verbose, 1:Info, 2:Warning. 3:Error, 4:Fatal. Default is 2. + log_verbosity_level: 0 # VLOG level if DEBUG build and session_log_severity_level is 0. Applies to session load, initialization, etc. Default is 0. chunk_buffer_conf: frame_duration_ms: 85 @@ -49,13 +53,12 @@ asr_online-inference: shift_ms: 10 # ms - ################################### ASR ######################################### -################### speech task: asr; engine_type: online-onnx ####################### -asr_online-onnx: +################### speech task: asr; engine_type: online-inference ####################### +asr_online-inference: model_type: 'deepspeech2online_wenetspeech' - am_model: # the pdmodel file of onnx am static model [optional] - am_params: # the pdiparams file of am static model [optional] + am_model: # the pdmodel file of am static model [optional] + am_params: # the pdiparams file of am static model [optional] lang: 'zh' sample_rate: 16000 cfg_path: @@ -64,21 +67,18 @@ asr_online-onnx: force_yes: True device: 'cpu' # cpu or gpu:id - # https://onnxruntime.ai/docs/api/python/api_summary.html#inferencesession am_predictor_conf: - device: 'cpu' # set 'gpu:id' or 'cpu' - graph_optimization_level: 0 - intra_op_num_threads: 0 # Sets the number of threads used to parallelize the execution within nodes. - inter_op_num_threads: 0 # Sets the number of threads used to parallelize the execution of the graph (across nodes). - log_severity_level: 2 # Log severity level. Applies to session load, initialization, etc. 0:Verbose, 1:Info, 2:Warning. 3:Error, 4:Fatal. Default is 2. - log_verbosity_level: 0 # VLOG level if DEBUG build and session_log_severity_level is 0. Applies to session load, initialization, etc. Default is 0. + device: # set 'gpu:id' or 'cpu' + switch_ir_optim: True + glog_info: False # True -> print glog + summary: True # False -> do not show predictor config chunk_buffer_conf: - frame_duration_ms: 80 + frame_duration_ms: 85 shift_ms: 40 sample_rate: 16000 sample_width: 2 window_n: 7 # frame shift_n: 4 # frame window_ms: 25 # ms - shift_ms: 10 # ms + shift_ms: 10 # ms \ No newline at end of file diff --git a/paddlespeech/server/conf/ws_ds2_application.yaml b/paddlespeech/server/conf/ws_ds2_application.yaml index 909c2f187..ac20b2a23 100644 --- a/paddlespeech/server/conf/ws_ds2_application.yaml +++ b/paddlespeech/server/conf/ws_ds2_application.yaml @@ -18,12 +18,13 @@ engine_list: ['asr_online-onnx'] # ENGINE CONFIG # ################################################################################# + ################################### ASR ######################################### -################### speech task: asr; engine_type: online-inference ####################### -asr_online-inference: +################### speech task: asr; engine_type: online-onnx ####################### +asr_online-onnx: model_type: 'deepspeech2online_wenetspeech' - am_model: # the pdmodel file of am static model [optional] - am_params: # the pdiparams file of am static model [optional] + am_model: # the pdmodel file of onnx am static model [optional] + am_params: # the pdiparams file of am static model [optional] lang: 'zh' sample_rate: 16000 cfg_path: @@ -32,14 +33,17 @@ asr_online-inference: force_yes: True device: 'cpu' # cpu or gpu:id + # https://onnxruntime.ai/docs/api/python/api_summary.html#inferencesession am_predictor_conf: - device: # set 'gpu:id' or 'cpu' - switch_ir_optim: True - glog_info: False # True -> print glog - summary: True # False -> do not show predictor config + device: 'cpu' # set 'gpu:id' or 'cpu' + graph_optimization_level: 0 + intra_op_num_threads: 0 # Sets the number of threads used to parallelize the execution within nodes. + inter_op_num_threads: 0 # Sets the number of threads used to parallelize the execution of the graph (across nodes). + log_severity_level: 2 # Log severity level. Applies to session load, initialization, etc. 0:Verbose, 1:Info, 2:Warning. 3:Error, 4:Fatal. Default is 2. + log_verbosity_level: 0 # VLOG level if DEBUG build and session_log_severity_level is 0. Applies to session load, initialization, etc. Default is 0. chunk_buffer_conf: - frame_duration_ms: 80 + frame_duration_ms: 85 shift_ms: 40 sample_rate: 16000 sample_width: 2 @@ -49,13 +53,12 @@ asr_online-inference: shift_ms: 10 # ms - ################################### ASR ######################################### -################### speech task: asr; engine_type: online-onnx ####################### -asr_online-onnx: +################### speech task: asr; engine_type: online-inference ####################### +asr_online-inference: model_type: 'deepspeech2online_wenetspeech' - am_model: # the pdmodel file of onnx am static model [optional] - am_params: # the pdiparams file of am static model [optional] + am_model: # the pdmodel file of am static model [optional] + am_params: # the pdiparams file of am static model [optional] lang: 'zh' sample_rate: 16000 cfg_path: @@ -64,14 +67,11 @@ asr_online-onnx: force_yes: True device: 'cpu' # cpu or gpu:id - # https://onnxruntime.ai/docs/api/python/api_summary.html#inferencesession am_predictor_conf: - device: 'cpu' # set 'gpu:id' or 'cpu' - graph_optimization_level: 0 - intra_op_num_threads: 0 # Sets the number of threads used to parallelize the execution within nodes. - inter_op_num_threads: 0 # Sets the number of threads used to parallelize the execution of the graph (across nodes). - log_severity_level: 2 # Log severity level. Applies to session load, initialization, etc. 0:Verbose, 1:Info, 2:Warning. 3:Error, 4:Fatal. Default is 2. - log_verbosity_level: 0 # VLOG level if DEBUG build and session_log_severity_level is 0. Applies to session load, initialization, etc. Default is 0. + device: # set 'gpu:id' or 'cpu' + switch_ir_optim: True + glog_info: False # True -> print glog + summary: True # False -> do not show predictor config chunk_buffer_conf: frame_duration_ms: 85 @@ -81,4 +81,4 @@ asr_online-onnx: window_n: 7 # frame shift_n: 4 # frame window_ms: 25 # ms - shift_ms: 10 # ms + shift_ms: 10 # ms \ No newline at end of file diff --git a/speechx/examples/ds2_ol/onnx/README.md b/speechx/examples/ds2_ol/onnx/README.md index eaea8b6e8..8ad625a0b 100644 --- a/speechx/examples/ds2_ol/onnx/README.md +++ b/speechx/examples/ds2_ol/onnx/README.md @@ -1,9 +1,11 @@ -# DeepSpeech2 ONNX model +# DeepSpeech2 to ONNX model 1. convert deepspeech2 model to ONNX, using Paddle2ONNX. 2. check paddleinference and onnxruntime output equal. 3. optimize onnx model 4. check paddleinference and optimized onnxruntime output equal. +5. quantize onnx model +4. check paddleinference and optimized onnxruntime output equal. Please make sure [Paddle2ONNX](https://github.com/PaddlePaddle/Paddle2ONNX) and [onnx-simplifier](https://github.com/zh794390558/onnx-simplifier/tree/dyn_time_shape) version is correct. @@ -26,12 +28,27 @@ onnxruntime 1.11.0 ## Using ``` -bash run.sh +bash run.sh --stage 0 --stop_stage 5 ``` For more details please see `run.sh`. ## Outputs -The optimized onnx model is `exp/model.opt.onnx`. +The optimized onnx model is `exp/model.opt.onnx`, quanted model is `$exp/model.optset11.quant.onnx`. To show the graph, please using `local/netron.sh`. + + +## [Results](https://github.com/PaddlePaddle/PaddleSpeech/wiki/ASR-Benchmark#streaming-asr) + +机器硬件：`CPU：Intel(R) Xeon(R) Gold 6271C CPU @ 2.60GHz` +测试脚本：`Streaming Server` + +Acoustic Model | Model Size | enigne | dedoding_method | ctc_weight | decoding_chunk_size | num_decoding_left_chunk | RTF | +|:-------------:| :-----: | :-----: | :------------:| :-----: | :-----: | :-----: |:-----:| +| deepspeech2online_wenetspeech | 659MB | infernece | ctc_prefix_beam_search | - | 1 | - | 1.9108175171428279(utts=80) | +| deepspeech2online_wenetspeech | 659MB | onnx | ctc_prefix_beam_search | - | 1 | - | 0.5617182449999291 (utts=80) | +| deepspeech2online_wenetspeech | 166MB | onnx quant | ctc_prefix_beam_search | - | 1 | - | 0.44507715475808385 (utts=80) | + +> quant 和机器有关，不是所有机器都支持。ONNX quant测试机器指令集支持: +> Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon rep_good nopl xtopology eagerfpu pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 arat umip pku ospke avx512_vnni spec_ctrl \ No newline at end of file diff --git a/speechx/examples/ds2_ol/onnx/local/onnx_convert_opset.py b/speechx/examples/ds2_ol/onnx/local/onnx_convert_opset.py new file mode 100755 index 000000000..53efc3dbe --- /dev/null +++ b/speechx/examples/ds2_ol/onnx/local/onnx_convert_opset.py @@ -0,0 +1,30 @@ +#!/usr/bin/env python3 +import argparse +import onnx +from onnx import version_converter, helper + + +if __name__ == '__main__': + parser = argparse.ArgumentParser(prog=__doc__) + parser.add_argument("--model-file", type=str, required=True, help='path/to/the/model.onnx.') + parser.add_argument("--save-model", type=str, required=True, help='path/to/saved/model.onnx.') + # Models must be opset10 or higher to be quantized. + parser.add_argument("--target-opset", type=int, default=11, help='path/to/the/model.onnx.') + + args = parser.parse_args() + + print(f"to opset: {args.target_opset}") + + # Preprocessing: load the model to be converted. + model_path = args.model_file + original_model = onnx.load(model_path) + + # print('The model before conversion:\n{}'.format(original_model)) + + # A full list of supported adapters can be found here: + # https://github.com/onnx/onnx/blob/main/onnx/version_converter.py#L21 + # Apply the version conversion on the original model + converted_model = version_converter.convert_version(original_model, args.target_opset) + + # print('The model after conversion:\n{}'.format(converted_model)) + onnx.save(converted_model, args.save_model) diff --git a/speechx/examples/ds2_ol/onnx/local/ort_dyanmic_quant.py b/speechx/examples/ds2_ol/onnx/local/ort_dyanmic_quant.py new file mode 100755 index 000000000..331f0821f --- /dev/null +++ b/speechx/examples/ds2_ol/onnx/local/ort_dyanmic_quant.py @@ -0,0 +1,43 @@ +#!/usr/bin/env python3 +import argparse +import onnx +from onnxruntime.quantization import quantize_dynamic, QuantType + +def quantize_onnx_model(onnx_model_path, quantized_model_path, nodes_to_exclude=[]): + print("Starting quantization...") + from onnxruntime.quantization import QuantType, quantize_dynamic + + quantize_dynamic(onnx_model_path, quantized_model_path, weight_type=QuantType.QInt8, nodes_to_exclude=nodes_to_exclude) + + print(f"Quantized model saved to: {quantized_model_path}") + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument( + "--model-in", + type=str, + required=True, + help="ONNX model", + ) + parser.add_argument( + "--model-out", + type=str, + required=True, + default='model.quant.onnx', + help="ONNX model", + ) + parser.add_argument( + "--nodes-to-exclude", + type=str, + required=True, + help="nodes to exclude. e.g. conv,linear.", + ) + + args = parser.parse_args() + + nodes_to_exclude = args.nodes_to_exclude.split(',') + quantize_onnx_model(args.model_in, args.model_out, nodes_to_exclude) + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/speechx/examples/ds2_ol/onnx/local/tonnx.sh b/speechx/examples/ds2_ol/onnx/local/tonnx.sh index ffedf001c..104872303 100755 --- a/speechx/examples/ds2_ol/onnx/local/tonnx.sh +++ b/speechx/examples/ds2_ol/onnx/local/tonnx.sh @@ -15,11 +15,12 @@ pip install paddle2onnx pip install onnx # https://github.com/PaddlePaddle/Paddle2ONNX#%E5%91%BD%E4%BB%A4%E8%A1%8C%E8%BD%AC%E6%8D%A2 + # opset10 support quantize paddle2onnx --model_dir $dir \ --model_filename $model \ --params_filename $param \ --save_file $output \ --enable_dev_version True \ - --opset_version 9 \ + --opset_version 11 \ --enable_onnx_checker True \ No newline at end of file diff --git a/speechx/examples/ds2_ol/onnx/run.sh b/speechx/examples/ds2_ol/onnx/run.sh index 583abda4e..b4df9d94f 100755 --- a/speechx/examples/ds2_ol/onnx/run.sh +++ b/speechx/examples/ds2_ol/onnx/run.sh @@ -89,6 +89,18 @@ if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ] ;then fi +if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ];then + # convert opset_num to 11 + ./local/onnx_convert_opset.py --target-opset 11 --model-file $exp/model.ort.opt.onnx --save-model $exp/model.optset11.onnx + + # quant model + nodes_to_exclude='p2o.Conv.0,p2o.Conv.2' + ./local/ort_dyanmic_quant.py --model-in $exp/model.optset11.onnx --model-out $exp/model.optset11.quant.onnx --nodes-to-exclude "${nodes_to_exclude}" + + ./local/infer_check.py --input_file $input_file --model_type $model_type --model_dir $dir --model_prefix $model_prefix --onnx_model $exp/model.optset11.quant.onnx +fi + + # aishell rnn hidden is 1024 # wenetspeech rnn hiddn is 2048 if [ $model_type == 'aishell' ];then From c3f762eb29b7ed9361c40cb43c196328bada6d25 Mon Sep 17 00:00:00 2001 From: Hui Zhang Date: Fri, 17 Jun 2022 08:00:36 +0000 Subject: [PATCH 017/192] format code --- speechx/examples/ds2_ol/onnx/README.md | 2 +- .../ds2_ol/onnx/local/onnx_convert_opset.py | 19 ++++++++---- .../ds2_ol/onnx/local/onnx_infer_shape.py | 2 ++ .../ds2_ol/onnx/local/ort_dyanmic_quant.py | 31 +++++++++++-------- 4 files changed, 34 insertions(+), 20 deletions(-) diff --git a/speechx/examples/ds2_ol/onnx/README.md b/speechx/examples/ds2_ol/onnx/README.md index 8ad625a0b..e6ab953c8 100644 --- a/speechx/examples/ds2_ol/onnx/README.md +++ b/speechx/examples/ds2_ol/onnx/README.md @@ -51,4 +51,4 @@ Acoustic Model | Model Size | enigne | dedoding_method | ctc_weight | decoding_c | deepspeech2online_wenetspeech | 166MB | onnx quant | ctc_prefix_beam_search | - | 1 | - | 0.44507715475808385 (utts=80) | > quant 和机器有关，不是所有机器都支持。ONNX quant测试机器指令集支持: -> Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon rep_good nopl xtopology eagerfpu pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 arat umip pku ospke avx512_vnni spec_ctrl \ No newline at end of file +> Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon rep_good nopl xtopology eagerfpu pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 arat umip pku ospke avx512_vnni spec_ctrl diff --git a/speechx/examples/ds2_ol/onnx/local/onnx_convert_opset.py b/speechx/examples/ds2_ol/onnx/local/onnx_convert_opset.py index 53efc3dbe..00b5cf775 100755 --- a/speechx/examples/ds2_ol/onnx/local/onnx_convert_opset.py +++ b/speechx/examples/ds2_ol/onnx/local/onnx_convert_opset.py @@ -1,15 +1,21 @@ #!/usr/bin/env python3 import argparse -import onnx -from onnx import version_converter, helper +import onnx +from onnx import version_converter if __name__ == '__main__': parser = argparse.ArgumentParser(prog=__doc__) - parser.add_argument("--model-file", type=str, required=True, help='path/to/the/model.onnx.') - parser.add_argument("--save-model", type=str, required=True, help='path/to/saved/model.onnx.') + parser.add_argument( + "--model-file", type=str, required=True, help='path/to/the/model.onnx.') + parser.add_argument( + "--save-model", + type=str, + required=True, + help='path/to/saved/model.onnx.') # Models must be opset10 or higher to be quantized. - parser.add_argument("--target-opset", type=int, default=11, help='path/to/the/model.onnx.') + parser.add_argument( + "--target-opset", type=int, default=11, help='path/to/the/model.onnx.') args = parser.parse_args() @@ -24,7 +30,8 @@ if __name__ == '__main__': # A full list of supported adapters can be found here: # https://github.com/onnx/onnx/blob/main/onnx/version_converter.py#L21 # Apply the version conversion on the original model - converted_model = version_converter.convert_version(original_model, args.target_opset) + converted_model = version_converter.convert_version(original_model, + args.target_opset) # print('The model after conversion:\n{}'.format(converted_model)) onnx.save(converted_model, args.save_model) diff --git a/speechx/examples/ds2_ol/onnx/local/onnx_infer_shape.py b/speechx/examples/ds2_ol/onnx/local/onnx_infer_shape.py index 2d364c252..4426d1be8 100755 --- a/speechx/examples/ds2_ol/onnx/local/onnx_infer_shape.py +++ b/speechx/examples/ds2_ol/onnx/local/onnx_infer_shape.py @@ -494,6 +494,8 @@ class SymbolicShapeInference: # contrib ops + + 'Attention', 'BiasGelu', \ 'EmbedLayerNormalization', \ 'FastGelu', 'Gelu', 'LayerNormalization', \ diff --git a/speechx/examples/ds2_ol/onnx/local/ort_dyanmic_quant.py b/speechx/examples/ds2_ol/onnx/local/ort_dyanmic_quant.py index 331f0821f..2c5692369 100755 --- a/speechx/examples/ds2_ol/onnx/local/ort_dyanmic_quant.py +++ b/speechx/examples/ds2_ol/onnx/local/ort_dyanmic_quant.py @@ -1,13 +1,20 @@ #!/usr/bin/env python3 import argparse -import onnx -from onnxruntime.quantization import quantize_dynamic, QuantType -def quantize_onnx_model(onnx_model_path, quantized_model_path, nodes_to_exclude=[]): +from onnxruntime.quantization import quantize_dynamic +from onnxruntime.quantization import QuantType + + +def quantize_onnx_model(onnx_model_path, + quantized_model_path, + nodes_to_exclude=[]): print("Starting quantization...") - from onnxruntime.quantization import QuantType, quantize_dynamic - quantize_dynamic(onnx_model_path, quantized_model_path, weight_type=QuantType.QInt8, nodes_to_exclude=nodes_to_exclude) + quantize_dynamic( + onnx_model_path, + quantized_model_path, + weight_type=QuantType.QInt8, + nodes_to_exclude=nodes_to_exclude) print(f"Quantized model saved to: {quantized_model_path}") @@ -18,26 +25,24 @@ def main(): "--model-in", type=str, required=True, - help="ONNX model", - ) + help="ONNX model", ) parser.add_argument( "--model-out", type=str, required=True, default='model.quant.onnx', - help="ONNX model", - ) + help="ONNX model", ) parser.add_argument( "--nodes-to-exclude", type=str, required=True, - help="nodes to exclude. e.g. conv,linear.", - ) + help="nodes to exclude. e.g. conv,linear.", ) args = parser.parse_args() - + nodes_to_exclude = args.nodes_to_exclude.split(',') quantize_onnx_model(args.model_in, args.model_out, nodes_to_exclude) + if __name__ == "__main__": - main() \ No newline at end of file + main() From d95b0cd9b29c3ef7eb700a578b5d55f09783b093 Mon Sep 17 00:00:00 2001 From: Hui Zhang Date: Fri, 17 Jun 2022 08:28:54 +0000 Subject: [PATCH 018/192] add release and resource --- docs/source/released_model.md | 26 +++++----- paddlespeech/resource/pretrained_models.py | 60 ++++++++++++++++++++++ 2 files changed, 73 insertions(+), 13 deletions(-) diff --git a/docs/source/released_model.md b/docs/source/released_model.md index 5afd3c478..80d6b44b4 100644 --- a/docs/source/released_model.md +++ b/docs/source/released_model.md @@ -4,19 +4,19 @@ ## Speech-to-Text Models ### Speech Recognition Model -Acoustic Model | Training Data | Token-based | Size | Descriptions | CER | WER | Hours of speech | Example Link -:-------------:| :------------:| :-----: | -----: | :-----: |:-----:| :-----: | :-----: | :-----: -[Ds2 Online Wenetspeech ASR0 Model](https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr0/asr0_deepspeech2_online_wenetspeech_ckpt_1.0.2.model.tar.gz) | Wenetspeech Dataset | Char-based | 1.2 GB | 2 Conv + 5 LSTM layers | 0.152 (test\_net, w/o LM)
0.2417 (test\_meeting, w/o LM)
0.053 (aishell, w/ LM) |-| 10000 h |- -[Ds2 Online Aishell ASR0 Model](https://paddlespeech.bj.bcebos.com/s2t/aishell/asr0/asr0_deepspeech2_online_aishell_fbank161_ckpt_0.2.1.model.tar.gz) | Aishell Dataset | Char-based | 491 MB | 2 Conv + 5 LSTM layers | 0.0666 |-| 151 h | [D2 Online Aishell ASR0](../../examples/aishell/asr0) -[Ds2 Offline Aishell ASR0 Model](https://paddlespeech.bj.bcebos.com/s2t/aishell/asr0/asr0_deepspeech2_offline_aishell_ckpt_1.0.1.model.tar.gz)| Aishell Dataset | Char-based | 1.4 GB | 2 Conv + 5 bidirectional LSTM layers| 0.0554 |-| 151 h | [Ds2 Offline Aishell ASR0](../../examples/aishell/asr0) -[Conformer Online Wenetspeech ASR1 Model](https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr1/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz) | WenetSpeech Dataset | Char-based | 457 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring| 0.11 (test\_net) 0.1879 (test\_meeting) |-| 10000 h |- -[Conformer Online Aishell ASR1 Model](https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/asr1_chunk_conformer_aishell_ckpt_0.2.0.model.tar.gz) | Aishell Dataset | Char-based | 189 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring| 0.0544 |-| 151 h | [Conformer Online Aishell ASR1](../../examples/aishell/asr1) -[Conformer Offline Aishell ASR1 Model](https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/asr1_conformer_aishell_ckpt_0.1.2.model.tar.gz) | Aishell Dataset | Char-based | 189 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring | 0.0464 |-| 151 h | [Conformer Offline Aishell ASR1](../../examples/aishell/asr1) -[Transformer Aishell ASR1 Model](https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/asr1_transformer_aishell_ckpt_0.1.1.model.tar.gz) | Aishell Dataset | Char-based | 128 MB | Encoder:Transformer, Decoder:Transformer, Decoding method: Attention rescoring | 0.0523 || 151 h | [Transformer Aishell ASR1](../../examples/aishell/asr1) -[Ds2 Offline Librispeech ASR0 Model](https://paddlespeech.bj.bcebos.com/s2t/librispeech/asr0/asr0_deepspeech2_offline_librispeech_ckpt_1.0.1.model.tar.gz)| Librispeech Dataset | Char-based | 1.3 GB | 2 Conv + 5 bidirectional LSTM layers| - |0.0467| 960 h | [Ds2 Offline Librispeech ASR0](../../examples/librispeech/asr0) -[Conformer Librispeech ASR1 Model](https://paddlespeech.bj.bcebos.com/s2t/librispeech/asr1/asr1_conformer_librispeech_ckpt_0.1.1.model.tar.gz) | Librispeech Dataset | subword-based | 191 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring |-| 0.0338 | 960 h | [Conformer Librispeech ASR1](../../examples/librispeech/asr1) -[Transformer Librispeech ASR1 Model](https://paddlespeech.bj.bcebos.com/s2t/librispeech/asr1/asr1_transformer_librispeech_ckpt_0.1.1.model.tar.gz) | Librispeech Dataset | subword-based | 131 MB | Encoder:Transformer, Decoder:Transformer, Decoding method: Attention rescoring |-| 0.0381 | 960 h | [Transformer Librispeech ASR1](../../examples/librispeech/asr1) -[Transformer Librispeech ASR2 Model](https://paddlespeech.bj.bcebos.com/s2t/librispeech/asr2/asr2_transformer_librispeech_ckpt_0.1.1.model.tar.gz) | Librispeech Dataset | subword-based | 131 MB | Encoder:Transformer, Decoder:Transformer, Decoding method: JoinCTC w/ LM |-| 0.0240 | 960 h | [Transformer Librispeech ASR2](../../examples/librispeech/asr2) +Acoustic Model | Training Data | Token-based | Size | Descriptions | CER | WER | Hours of speech | Example Link | Inference Type | +:-------------:| :------------:| :-----: | -----: | :-----: |:-----:| :-----: | :-----: | :-----: | :-----: | +[Ds2 Online Wenetspeech ASR0 Model](https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr0/asr0_deepspeech2_online_wenetspeech_ckpt_1.0.4.model.tar.gz) | Wenetspeech Dataset | Char-based | 1.2 GB | 2 Conv + 5 LSTM layers | 0.152 (test\_net, w/o LM)
0.2417 (test\_meeting, w/o LM)
0.053 (aishell, w/ LM) |-| 10000 h | - | onnx/inference/python | +[Ds2 Online Aishell ASR0 Model](https://paddlespeech.bj.bcebos.com/s2t/aishell/asr0/asr0_deepspeech2_online_aishell_fbank161_ckpt_0.2.1.model.tar.gz) | Aishell Dataset | Char-based | 491 MB | 2 Conv + 5 LSTM layers | 0.0666 |-| 151 h | [D2 Online Aishell ASR0](../../examples/aishell/asr0) | onnx/inference/python | +[Ds2 Offline Aishell ASR0 Model](https://paddlespeech.bj.bcebos.com/s2t/aishell/asr0/asr0_deepspeech2_offline_aishell_ckpt_1.0.1.model.tar.gz)| Aishell Dataset | Char-based | 1.4 GB | 2 Conv + 5 bidirectional LSTM layers| 0.0554 |-| 151 h | [Ds2 Offline Aishell ASR0](../../examples/aishell/asr0) | inference/python | +[Conformer Online Wenetspeech ASR1 Model](https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr1/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz) | WenetSpeech Dataset | Char-based | 457 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring| 0.11 (test\_net) 0.1879 (test\_meeting) |-| 10000 h |- | python | +[Conformer Online Aishell ASR1 Model](https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/asr1_chunk_conformer_aishell_ckpt_0.2.0.model.tar.gz) | Aishell Dataset | Char-based | 189 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring| 0.0544 |-| 151 h | [Conformer Online Aishell ASR1](../../examples/aishell/asr1) | python | +[Conformer Offline Aishell ASR1 Model](https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/asr1_conformer_aishell_ckpt_0.1.2.model.tar.gz) | Aishell Dataset | Char-based | 189 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring | 0.0464 |-| 151 h | [Conformer Offline Aishell ASR1](../../examples/aishell/asr1) | python | +[Transformer Aishell ASR1 Model](https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/asr1_transformer_aishell_ckpt_0.1.1.model.tar.gz) | Aishell Dataset | Char-based | 128 MB | Encoder:Transformer, Decoder:Transformer, Decoding method: Attention rescoring | 0.0523 || 151 h | [Transformer Aishell ASR1](../../examples/aishell/asr1) | python | +[Ds2 Offline Librispeech ASR0 Model](https://paddlespeech.bj.bcebos.com/s2t/librispeech/asr0/asr0_deepspeech2_offline_librispeech_ckpt_1.0.1.model.tar.gz)| Librispeech Dataset | Char-based | 1.3 GB | 2 Conv + 5 bidirectional LSTM layers| - |0.0467| 960 h | [Ds2 Offline Librispeech ASR0](../../examples/librispeech/asr0) | inference/python | +[Conformer Librispeech ASR1 Model](https://paddlespeech.bj.bcebos.com/s2t/librispeech/asr1/asr1_conformer_librispeech_ckpt_0.1.1.model.tar.gz) | Librispeech Dataset | subword-based | 191 MB | Encoder:Conformer, Decoder:Transformer, Decoding method: Attention rescoring |-| 0.0338 | 960 h | [Conformer Librispeech ASR1](../../examples/librispeech/asr1) | python | +[Transformer Librispeech ASR1 Model](https://paddlespeech.bj.bcebos.com/s2t/librispeech/asr1/asr1_transformer_librispeech_ckpt_0.1.1.model.tar.gz) | Librispeech Dataset | subword-based | 131 MB | Encoder:Transformer, Decoder:Transformer, Decoding method: Attention rescoring |-| 0.0381 | 960 h | [Transformer Librispeech ASR1](../../examples/librispeech/asr1) | python | +[Transformer Librispeech ASR2 Model](https://paddlespeech.bj.bcebos.com/s2t/librispeech/asr2/asr2_transformer_librispeech_ckpt_0.1.1.model.tar.gz) | Librispeech Dataset | subword-based | 131 MB | Encoder:Transformer, Decoder:Transformer, Decoding method: JoinCTC w/ LM |-| 0.0240 | 960 h | [Transformer Librispeech ASR2](../../examples/librispeech/asr2) | python | ### Language Model based on NGram Language Model | Training Data | Token-based | Size | Descriptions diff --git a/paddlespeech/resource/pretrained_models.py b/paddlespeech/resource/pretrained_models.py index 37303331b..44cd79e8c 100644 --- a/paddlespeech/resource/pretrained_models.py +++ b/paddlespeech/resource/pretrained_models.py @@ -155,6 +155,26 @@ asr_dynamic_pretrained_models = { 'lm_md5': '29e02312deb2e59b3c8686c7966d4fe3' }, + '1.0.4': { + 'url': + 'http://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr0/asr0_deepspeech2_online_wenetspeech_ckpt_1.0.4.model.tar.gz', + 'md5': + 'c595cb76902b5a5d01409171375989f4', + 'cfg_path': + 'model.yaml', + 'ckpt_path': + 'exp/deepspeech2_online/checkpoints/avg_10', + 'model': + 'exp/deepspeech2_online/checkpoints/avg_10.jit.pdmodel', + 'params': + 'exp/deepspeech2_online/checkpoints/avg_10.jit.pdiparams', + 'onnx_model': + 'onnx/model.onnx', + 'lm_url': + 'https://deepspeech.bj.bcebos.com/zh_lm/zh_giga.no_cna_cmn.prune01244.klm', + 'lm_md5': + '29e02312deb2e59b3c8686c7966d4fe3' + }, }, "deepspeech2offline_aishell-zh-16k": { '1.0': { @@ -294,6 +314,26 @@ asr_static_pretrained_models = { 'lm_md5': '29e02312deb2e59b3c8686c7966d4fe3' }, + '1.0.4': { + 'url': + 'http://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr0/asr0_deepspeech2_online_wenetspeech_ckpt_1.0.4.model.tar.gz', + 'md5': + 'c595cb76902b5a5d01409171375989f4', + 'cfg_path': + 'model.yaml', + 'ckpt_path': + 'exp/deepspeech2_online/checkpoints/avg_10', + 'model': + 'exp/deepspeech2_online/checkpoints/avg_10.jit.pdmodel', + 'params': + 'exp/deepspeech2_online/checkpoints/avg_10.jit.pdiparams', + 'onnx_model': + 'onnx/model.onnx', + 'lm_url': + 'https://deepspeech.bj.bcebos.com/zh_lm/zh_giga.no_cna_cmn.prune01244.klm', + 'lm_md5': + '29e02312deb2e59b3c8686c7966d4fe3' + }, }, } @@ -341,6 +381,26 @@ asr_onnx_pretrained_models = { 'lm_md5': '29e02312deb2e59b3c8686c7966d4fe3' }, + '1.0.4': { + 'url': + 'http://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr0/asr0_deepspeech2_online_wenetspeech_ckpt_1.0.4.model.tar.gz', + 'md5': + 'c595cb76902b5a5d01409171375989f4', + 'cfg_path': + 'model.yaml', + 'ckpt_path': + 'exp/deepspeech2_online/checkpoints/avg_10', + 'model': + 'exp/deepspeech2_online/checkpoints/avg_10.jit.pdmodel', + 'params': + 'exp/deepspeech2_online/checkpoints/avg_10.jit.pdiparams', + 'onnx_model': + 'onnx/model.onnx', + 'lm_url': + 'https://deepspeech.bj.bcebos.com/zh_lm/zh_giga.no_cna_cmn.prune01244.klm', + 'lm_md5': + '29e02312deb2e59b3c8686c7966d4fe3' + }, }, } From 63ad0469798363cddab2667f83d7e7fe16044a45 Mon Sep 17 00:00:00 2001 From: iftaken Date: Fri, 17 Jun 2022 16:39:13 +0800 Subject: [PATCH 019/192] del dead link --- demos/speech_web/web_client/README.md | 7 ------- 1 file changed, 7 deletions(-) delete mode 100644 demos/speech_web/web_client/README.md diff --git a/demos/speech_web/web_client/README.md b/demos/speech_web/web_client/README.md deleted file mode 100644 index c0793a823..000000000 --- a/demos/speech_web/web_client/README.md +++ /dev/null @@ -1,7 +0,0 @@ -# Vue 3 + Vite - -This template should help get you started developing with Vue 3 in Vite. The template uses Vue 3 ` + + + +

+ + + diff --git a/demos/streaming_asr_server/web/paddle_web_demo.png b/demos/streaming_asr_server/web/paddle_web_demo.png index 214edffd076bd4f6df18b4faa3587239154b958a..db4b63ab9ed39cdc2c4ab75e291ae0dab02859c6 100644 GIT binary patch literal 96114 zcmeFZRa9GB+%HNEDGminaVS#UH9#p)+G3?p+=>ACmZm%aD*c%RM~D`R9V)?lqU*PQ?PvzagN)szSyKYNUYg+=)Gjlu^ktVaMW ztOqK%*qAfUpUi+*SdV9H1GL1#dh;bY73aO?4rS1t?-UIy9_|~w zR+cQR53h)gB%|KFxsS)%7xshMgHp#yk(BhFr5u&w6GI~#J2~z-%H9ZnIm$=wM%;7n zp)_7$i~dMB$kXc9w@m_dQ+VTgm+pG+$3y3yRc_r!K|qc8=bYn_iC@!tI;8LE{&?^^ z=>9fsnbt^jEWx8FmA&@i<^`;8do;5rx_7s??T?fDQ(f)_eIr%dc-siY^<>_o*5Mw! zhviOENy9rzI(+%8%MI@XV^{m2gnzW`fQ0+EiS@TRX&feD)L6@dwDHgBu&OA`tk+$p z62&dNiR+lN--kKLbY&afi;O&S4lAvyrW*Es`bntAgaGT21YL&;T6yHOy;uEX&z939 z1z-m9YZ)E(!I{$f^3GfM&Y-H=VoE~gt0Lu_klc0a=**?8kzS_9l=%@#D%D@b+z~F6 z10iOG>0D>38CLZDdsjz!M#Y|d{5n*Kh?Zgzf9&P?WGTX7Gs*sXkl1>VB zaRvSbQ1J#Jr*b2_^?0qTP%nd;PH=6lxI)=NBl_wx_hn9c%e`oLb$;NE&Vcs*C~42b z7d~4f(_pGfE3vM7K%|^h;EWeQ=JT z&Ria_!Ionr;}4Rpz=@9{QpjeEZ0A;jM;)3SyL{m{`r2*ER38U6jcE|oCh#@z^~GBE z^xSpza65@M4wVm}WF55j-QNb{!S!&ls>Vgh_kWB|k zo63qmj1SUwqRqtK>a=tsgxyEU$v(Xg?&R>o>0`p}l6w+`ZS%_KtAGU_R9!cfpfPq|ZZ7exAJ-(0cswRqgu+r!3P%SrNRiTE~q(V?7Htmd`PLq7t!FK?J-H z4o>ICCki%Se&i(C@^CB^e|gmDks%I4n8EVYk>v#?j950Z|2>xCtD?M9jad%1Au5XC zcdzn)KL7pkH?x++AEKGC-Iwlp4nM9m_}(*2=n4~#zBI^NoRHhr6{c!^*!s8?&*%$0 z!9gxZap@)T52XncfhVz|ePnA9pUlblchd6HUa3eF(7O`261n0Fg?UHzn$1)e=u!bm zL`gxxM!}0=i{bWt9%jCkp>qPXM1^0fd%TyKooEe-%1G+TJxM$td(w%8T?etRoE@EC zVEK_5hnYn3^)qzj^qBO^_9l>P;r2Zgd-X6_Nmq@7X`j`Nq>L;AcTM4A?u&`gr}86= zWvtpHps1}V;wZ;A&%fOpOcqXf{=Agw<5!|2-mlni7zVYf9zjzxRZTVxELfSuDSLhx*j)iphuAUn}m<=5NZvI+fCQ2Vwf{lJ6E3 zvP!e_jdKGO&~;aZdXm+;)fd&GW40OY{ z7;Jyma@TCy@XXAYx~uK=0T|=&Pcn!~R~Wq*`+; zb`0Oh-N_kuZ(HSCCmHa5pckv&tW0At2Xu?<6eG3X+qCd8rauFY$>@dD}bZ@ zWjk{_ec+$KlED1CJgm^5)1bbfiI;^P6v0_?X+OUHD3$XE(ut-ncF+@g;2Bf`yVQHp^SuX_AQF?@>(Tq7pS544r!@f;!xwj`o|aT0xZ;wloy%XzgO~aw zRVznWbSd!m{8D~UZ7_VWo+^!3w{Cg$RcW{$zB=~@;~qUX;YUeiIWCMFLhK=${nW~q zh1!MjF8+;D4PbA0iy$0#Db!>rFk>@OJ3}-Rk=VxLudvL@LDfQX^_VNXTrfn?RuFFe z+5$10IS>uD9qY3$w5X5yovShd?QM!lAB6G2YA#A#)wo%=QhM0C{O z$_7R(mIkn0q+N?$WVz!EeB9D^1t+SwhIvvP4R3|{7!M;Uwkco~MweHYc1RrUD(%^_ z5bgZ3U48q8CeyR=j1G}&2pPnx3~iZp&@}1p296OIGUGYfijgU5Z<%swj}j+>QSMVtq%0V; z)*<*l@{DrP!6@rW^J6u%waz`Ra}TJ7>4xn*NIVBTPIbbxYYv3x8!flC-pOs0a_0Qm zv_063n>qA6_ApvHXl*WfU0BetIfd#vJeMnpWA$9eZ`<+a}0K<9cWgy@pa)~?FokG-}duM7dvFp=!Fz()Uq z(yMqkI!k){tHF!HUGo}qMV|M=Cn*!!a(00RW(JPFPQE&kzWtRs_5pBD!#l4TyjpTr z_Al)CYHFE7QX;c25Pr^*=u=ZjZrQap*%%BUbqEAEes!f9!^xDL8r_v~?_BFTj&Yz` z;1l4hHTGzOx%BP~Rhnc5NX)Lmrd(z=Y!^fzc66<-zUs!Prhu!6r8uM*RE%%war=y~ z)cJW<+j`rrREt!%XEma&Db?5U<~9Q-4M&mqBYleOWPlc`__BNyJ%(n-zQHa7#0U5V zewDho5!-RhiF};>KKr}ujPE=@P}a}yx#{|R^(8nWJ0>Tgo#V#n47HnT#TR(heVxFS zhnFW`{=A&c*wH8N(rU?|zuw3^(L4ce*-jH^aw>=HzD*cOSj<_Km8LVfqDD2Y#$2Yx zmou3#s9310L`jg1t#bsuqRdRe?%4Am0A}K15vC7+K^9u=y$vq7#bLv{Vb9KJXYZvB z$`HZoVR|}=*WsW*!=z6!kqF1?@p>@VDOY*RIw_2EU8MU<+d}w7PMTNfNW8c!R@&V1V_xicZ*?V9Eiu|Up zQA8M=D{iU#)=E_sixcx57wcZ64c0@;8}X|L4pjz>f$2=lcVdzkd`e z7GK7~dWrQ`K~Br--hLKdOI$BaKRcO5QB7`@X3fu!`n8Vpn%`IzU%i4>zm73_Q&jU= zLu)d7|63SPue#QTRgo3FB?X~9^alGPq{mu!Pwu2qt_bfX?=7P-)S^`Yazx1Yrp;zg z_BGpmX2$prc*UG+{~19=)|RpMIVsg?DqcSH3we|G1wBu^dV) zP^=wD10q)QJDbthtQ$$}d@ghnu2En$YPUKm%<`WD@$S(*Z?8?Pv%WY7p{NL{ZZ*kE zi>VgxVW6YWZ3}qR_!0?n*%-36GeCLTGSmkQe#;-ROf{lTEuj9-335@68FnN0PV$rz z=50c@=zaGS4_IzCLFJ>~TOU39=YAg>6{v#FH^0ggEv_8MoUN}}tq)kQ&0e1jQxxb< zFgx3y7UiXcmHvmd5M!%5G;!4E9fZ97=A?QMgrd#-?}i`h*8v@}X=S+UAht7qKq%R?ryxk!zm$Yu$}dB#o7P=AeFASU3+0wy z=-22@=IOOu#E1(FS?^C*W>Jg($npNMCBHeT%!e9GT=J@zZM%#Zuxu1KMx)>&t-i8p z=RXCorjkX^K(E?YrFxS`ur>0Vz4{K6rQ$aA0GfPg(O+N;0OXcy4f*AN>G1Ho>{|YdZWS?Xo3Sqb`EOZX`E` zb@+#MN@^Eq(-`ju+@U3>j_R7M&NIVhd|_fCyWPYnLFp#XcxCGX%i(L4;QNorCawKW zDleDOp5{9QK{dtHKna{Yv!Xrw#m3(3%HexZ^{rKz zv@5A>T}wTzPAk%62d$_BtPr24pYuusLKKZ)t z)8Lu03y?6-oc}s|;y>W_d8x1Ew$C7<)44_Z>T{rw-K>i2UfbSu5tZ1T$tVH+NduF% z^_=O|8N?*LyzOep9j$cp*Z_2`pPs;`A|fFWq~*1c0j3W=KR_tYy{t6rEyX!$-Rz3t z6;N@7-(BtTRXZ$tZj$c>!wON|c#szmdoCKyZ+i;=3Rf!Z$iFV9509C&`CYEY58!7r z_#I{2c&iIlyX|~y*ci$5-h^(RaM`l`VpkSFsIj%`V|RsZFGR`ph!7YQ&)Sbj9kx)A zN2tkMYH7C1$xpTDk*_IsBJDCQ;k2miy~j70g`&V7H0unqnaFi7+hH?oJ}-SMZHksd z?FeRi7?Kaz4D@<%YPgy^4jX;7z2M#F!3f?{j=U-&bUYi0~&8}@4!U-`{ClAV?fu| zgSLR)4JyUxEVs7|sM+hp#YrLg{s5~$(P93_D5y272jums_jw}~p>fuMl$$7npZMSt zz5oT4eT#({N*-ZrZP^)^dARQD5aMSnS)SW-5^3M}3NJ_9_eA-LWu~Q8bhqYsZ>wO6 zraM&%$L;>tYItVW(;BY!#?HMT@nX8@hw!Ms|0`Pix`#K=EtHy-TM@|)|Lz#?FTKKX ztnC}HK8y_>rmH;L3lu1Cm+3nVSnqsuPo$xgjP+f{jNNQ606r#N9}#2iy+J|MzZxmn z0Ul=x4JmHiA!T`;(TajgG5PDf`8>W%1b>K5P?N zD!+zXzA$R4DKhO{!mN#;ZXzi_i+&0+_8Vqo2+FI>fValnFB1SKZ(MI5QBjYnd&JtU zAi-Ob#7oIsI`eB%BeVuP;;zPV_$n8YBVz&IN|ianS!3Gyk(+@Ilp{HZRdjAgas^sN zlbie1V3BbA!yMqp)HbWp-LQ=!K_-CQl$9sVYdhlko-Yi&y=(bgH|6aPQI;>>n;zEvk-}(~SoW6mGI>0`|eGl!c=ZqO-Z;nDGPRHdJ&xewWml3REIV%4G z+P;xuW>oA*;P>q4@#!)n_NkIfX{&bhx$+K2;MI;2MB4v!TW7>zt*@Xa9{dCWA6}Nu z>u<5y9;3JP3Ts0myfk;_)^aHi$!s3sQwp;xrwEz^G%|a%;7VznAJi|UF@@r!|CGn+ zRapM*_shuRGP%HUDY(qey$T@Xzc*XDxf1D{!J8#@^(*X<#-U;GbT5ZPl-+`W^~his z_JK?A`#n8knF|u3p1!J<^~qs*yUh{q5QCWJLzk5Yf(y*;37vIE-0@W$&aPLdMFnR0 z=6O}@zewkQzDrIb*cxBhR0W}bT|3yU`N$k!jO*%e@h*-Y)QgF_@4_r(yzUlteY|q} zE~zp;iNfvwFr&V)#;Ar~xtlRP?^-a=_AR!VqVzbb^wlKOYK*u#^&W8Bo#VB2trUKy zO7GL4J`~4}=_ruR;;sYLea5=PD7;tpH8u;KU;dEBuq26FVSntl1Ef0}5zzy^GgC<^T%O4zk$#~5D9N~1lbnqsB(H# zaT@nRjD7QI7`c*E^J{Uf3bXVjlq-|skk>=W(nBQeqC+H0-Loaotl3a+H*pCU8TD*{ z)ya2itDUNuN@6DFkaMKE>?7+^rCl@E+4Mq7%)h*E#sTT;XHbtZkhQfs-PYI)TT2+z z+P9D{i@~AawpIJ%lc`s0YdKwDW&^v<>@Mk1(`J0l^NGjjJT}4R*@CWV2tQ?Ejy5ai zF+Q@XW|;CeHoPuawKSb_Ae#^qs!UQ5o~Jb^GVJruAL&=NNgWosdHz&W%~bu=T@YUj(Y*ksv3s~Q0k2}N54F{L?= zNSXDN$B_|{&gC_!LYj{C*`EetP;P_+M8bweNd{!ef!i)y_R|$C!SZvV#biv(xFu>q z%Iv7v8J_;OT)J#@h+SLoutnNIN!0G?zzZmPG-4ZJlJAoLJ+OUAf{8Ce_Bbs^^-9`( z*Mi-JeUwBu=whJ^?H~L^HTs`)xWfYj?CPrrC^QwLpL_ujg>kk(FsPBf5y0sTmPXYW zEg3xLHmjg~IGvso;850#crE4QeKT+r5MG$=2lH^1?)3h`N;48(ws+Vn+v)RwNbs71 zcVA~Qzui}6TzcgqL559+{u2seM0PU1(V(%`JaWXIBaowCm&6vh-&B!AFWi$sFWrQl zWH#j%*B`?R{JV0gCwReC?z~d|qA=C#b5vxtg`_%gK)cS@V{W@?X|GcW)}fQ*C)iJS z9p4vD=qO~H?Ukj9Xp#Oz8nQv&t(1nr-`g@3c_8mOgw4bV-qFfw0Gff2z0tdcjjwgx zPqXARso0O%i(`hTt0kMiNbg(*#@P)G4aVMrjftDzH7EeTj+JF@^jLQ8ZK; zy*hIcf*AVxhj@ixd2TZ;^uAMw{aD=Yo*k6TnW9RfK8Nt$%5v0)P0eSzj(M}y6EcP@ zhi(~;i{4xnQg{dv>%~Ae#(##YCLppxi<@kkWPF+8{gj?05I+cVib{JTf<>@OPP?){ zDs+zYb1fT6f4s^rmJ^Us|RcHDHJp5O9Q2`J`*VZ$a*7;2DS&4#|!S{dC zeyOgXZkuSi+8xHjC;5RxK>N)})!E+A^^5{9yRy|6B^GxGd{$5QOaNDaMEK#7eyuG| z5=I zcDdkpg&4)HPBt*SZavYr$ejGW7k5#JVP?E_aTY+*j>fT&2vfsyhl7WX&=j6SS7+l; zZxNn{>Q!gIFtI)e;&^^%)7$FUb~#^S+&a`t8+*m$)rDan zu9b>O?CQc0V^_sY{&bb^r(Dvary5haiY?2vh-*TtoR`4&Ei&C^TyTG{IJWA)oQlwc z+?f6epmm#WB=n-*Wv1ThuoXqb)?cvmIN-*af~+a0kj0Dn!bKIQ6bN;(ia6s?Ws_v~ zF?L&Nbf)*i^(1Fg!*^g4mG(pcw?vdPr?q02OzIK#n<)kkqi#W^92#Z%wYy`*66xdW zx*?PK(Y;0t`-j8HOFh^$K6kC2Bgs0(WS+mHeuo~IY77#9mCbap!(AULgef?NW#jsq zgVUP_;(!QbSi7&T;|9I-s&opZ#K=1OiNt^<8jV^~9VCnFKS+JVrQ@IEw#@jUQe@NAr~XO7?o1v|=Sx#%AF?C>I1#@| zB6CXu@8DyuPWy9^T+05*TtKrK{=viS1RWE9qy4FIqWCcPgULZ|gA4&l36|JE3@5gM zlxdbxN-YK}-RwcDLFDA5PeK_0ayh;Z3Lh%T4;$Oi*nReuK4;Ys9#U^c0k^I*IU6cJs?*X^H?jS1i&D)>;cNd`mP9sK5aiy;EB5{N!a z)vLCu1(RLhLOnha&xbrhhE{K$4BJ`lw8rpzyB0e-=rI?PI#Y{C zHP^X8zlEvN0-JRLk9%{&PEEVot`Dd(-KUDV7fv>~p8vXjIEG`?e_3MG+!yPMBowk5 zDSrFNem2iQf+eTj;*sX6i{FkeA9CfLcFXSEzzy?H!Y$dbq=+gX_Bz5ZK$~-bPzk+6^qSh z3bC@JD53JUirAL$zna#iG)o`)7p}^vf|04x-teX=)!;odDm$Jw!%EOG_8t_jtvn4` z)E~T_ZK(A4nlillFk)HMWlDH4flvHyKWynMLZD3oA?=E26qz)V{v;hX=5ZkTx-W*n z`t`48LYoxGv^caxV8ARraODgQSd8d?Fp8nGVJ4Y7p4#-;TpwBmjmck5g|F^8_>FZfe#nzciNN&e z88)a9eSQ_85#1^fG{ED&dkLLGd2eZp^&E}hNv&MuO~FU3tEqazavj@lCHs5Sh_)SR z90j@d7Ce7+vIq?wJy)QWhe_QW<-SFRL+GS^zSF@9Z9?8tkEIR);8CBr^lLtgzi^@F zYa8L_Fis?P>@wXSADJzEzp}lLpB=N>N-eZtqCKo#W|;mlWniNxujO)65)n$}P;M+e zf??ofCv|q7<@Q={=y7T+iYD>)6j;M>LYNa!849qmvM5>@`{FSvAeC>p5wWOzfAKJ{ z4m7eS;bkZ#N!QEW5@&&O63^LG{D%Q?+m443qQkfD8qC+$q$AAv={@FFB1nrP3FtrT z*E_5PbXN4|yn8B;@u(A#14S1pr?Ppds=0&Q67Tp*JMBFcPTr!@=ov(NgdO3}7iY+4 zhjU~DUp<58Nqkzdk8BNfHDgG(XJJ?5T(Sp|+#_d;O;|X%+%kD8VdiDXCMD0Uf*mTk z^DBwGX@BiSoRUbF=Xd+Ja)y}9KuxJZeUoC5R}|aAYpo`f&uEgE>*2s}_oRGMMy>b+H%SkzjQ!?>Q2 z7)Z=9o_ynjM9Oaf1v56abGelh zn9+JZ&-Ll9GwiqApLdU%x*6X!nN4#aCTz>yD##rYQ&cr@8Gj(UoPxjJ1} zLM}xEKG!o+PUYJr3~cEdvW@b8#7z`5C5Qxc7{L_hW1!duUZJL7@D^NA7pA#bCI}MC!i0G7vy;>P zqqr`{<%ys72+~Sh0bw3#-srRX)k)h$uhN|b)F&zsf3^R_ZJ5Dn+tNa5n-9_ z>7u03WhI=R%9sp^_P$4WgWZwVyjE?;eQDe{9Yya~o|02mL=w^f11>kV!qArwS0m4N z&|h;#XFXY^eyGh!dI0T2fpa8k@uMv8dYgrL!jax(!&}Yu9|w!SF-aoD2;GD(lmc1HoKR!(&MKh$An7pYu2Oexy=@65!IL@95r z`aBM8U6f)Usie$1QDU?*w_*X3k8^fZmClkbDG6pmR*g4`}XJCy#9yG@$#VuHpVWN3biEyCQZzR zzD7Z;UjwLBT&6lN;$m-Z#ukoqExH~DhxKCQPLVOGDYt{k7hi2hl=%|kW3N4H&ffW& z?@Kv*lLpRV3vk|<#F8$Cih7Ri|5{}-+nUiaq8!O~YZ@y(BM%!KLwP!dYATlYU`hQ| zlx#H&pD}Cp$7iig9&rE;VY}F!03dfWqA9~lgD9?SjM0FO`8?3K+b0ordwcCTRb(#3 z-tj2mV7ItDhUWV=X8z*wdQ8FCF_X8BZhCKK0QmVqdE z3s;TMFtP1U7g=KT&g~?#B{$3V^;M)fG9VWtU^|;Jz>BQ2z3WW&+m?J$_J7s)fwkAP zefU$6jYnK?=l-mKNq^asH|-7HRt|Pfc9X7O#_{%kkgBca#_-0mGW~w-&2Qqp!OC`V zbIkQuf-Cqqyy?6`t?OYqTI@&ZAM?-p*P+Jx<7u`Oh2s^C((|U(=;F++vW z+~nAjeSH=wEFC zap@sO22(9(=hv0uq2z3SPwK@U##y`;n_|y?x@#5?(M#UaWbES|i*!=1Yg4zjxHw)b zOjG8SSYkZ)mVcQ~;|3`s77u2h@IJ$6)+*?GpipO+wGWjhN)H1^kt2ZpiEK_k+noW|d~Li3Lo&!K^H-Qv5t*}k{= zVTk$lJkaSkR^@$>#dN5+`9kNOki(}Qm2w;g0V+c;=bmrd&&MwPQC2)(iD<=pzAUel zYW;Sqv03`*+EvLiV8u36MORj+QQkriZ8&-fjvSe*EN3-ze1LOK$ndJ`=3v&m#^FsS zE4hH?HStp*Zw0(sF4XZ5PK=$zT!@jqW^^If0|f7${L^&}rhWc{_do(ys8B5Y!Ueja z(`WB7mI)p??x(ZQ4!ouA?qDV`Bdfs>Q2~s!ty7|lP{{wriisK^?2;M7GW|}9HmCHE zAIPN8eO%g-vlv}ayGt_4heuynWMeql>6N~ADB|Ma;N6nf#Q9E=yNcQ!=%@#Ddu;8T z-58*EA%!s$tw!wDREASf;Z&?y45s0~wPN>d`eLCk=x`RKFg9XAKdW2*}|l;r*oxz1??8iW%!NcO&NQfZ;vzbJqMM3}M<{fXi$iSc}zD>r`h$JWch zNE0;+3LT7a$jg719G_3Bla!ds^^x1o=WI8d(d`@Qr-N1$dm2l;xL}>}AM)6So6QCk zbFXZCrGNAF2x%{|fTyU#=M)};j9shhtnzW0aI(6@sR!&LwtlHG*3oI{BjS$rPzOX3 zJ2*;;PewL$M1dOaw%CLc1}FGQXgYuOZ@=qQkoR1xpy2#I5CrI__iVYe*reT}rfw?> zS$Mgvp!Jv1bXq_}0KA=J`_1Y%XVk{@m@u%?jjE#I`n+M2TW!(DVh<;ByeWdTnN}sf z>ebivL7SR$-3 z%Iz8@`uuu{E!`=qVTe(9uxS92~m#f$+lkdRxKAKc5`lSC=gW5Vk2eAPH$ zAsNuz7bJpDH6}(7ub`sT;-y}}(tX%|cMm#$I$LV6=nMvlK?o(oxBa{DlC!=>ZZ}oO z*#R+@DldE|R}r6}Uvn%T*SJYVPcv6xFiiZLlnY?VA5|KI6FolW-_a({r&t;k^HjG+ zSHQL79u8Y;HoDEB$Uo2fY$g?5veG7J(KojlOFcD8RcCiy?-3|0O6v*3D~Of8b-P4k z(g6{BpO04+5t;k-hXDm86x2|*%9o^`Qv!g}FI>%^SMDQ|=xU1Gb_5q>EL8iK|z({#=oTCf-NwdjEyB}c+z?_!$v8vjC3b|@TYc> z%eQpl%e9C1wgjZG2#iKrncna>jJrb?)4oEsR(zEnsn5z)Jj0M_n}q^**s{167vc?- zeH|-#Fzh9xP^XX>ZBD%0zd$Sn#>AICh*w`0G=|jJf_^l*L7%Z}lhN>hj@`UH`7Mxm z-zszg5#@a#kb4FLxAQ|xOt=Icoj^M(YyKVwwPIr>CLV^!-MTHz2@tlMEfH0s`^Y?8HcBJrARPNGOU%)a>TD!Hl0JK5h@N7r zC|xi0{I|V85UG(bv|i<*hvNN{BNzoZBVO+x?O49c>KG%QM%}4-v7>Jv5ObSd{4(3= znPj2dn6xa`g!)Ya(g~xJ+*o=3GvOEvBzd2D4(yov^DjjC|KtW5V=&+!<}TwV{6Aa- zWyGuk(4fMP7!kq4@xG3UYpFzmS?^o|xA9HXT+P1(#Qp{**zXbQf0qKs#J~GT>;6A2 zf|2n4?qoK$aOwY$1^p`ZSEtC@QdDC77v=r`eeAD)fwj%cDbD|)8I4JQ+v;uXru9Eu zWP^#grvKju`oBH&?_=%%j-mf&mXWX>O{vRb>^>7wgE}A{pP=iepOuv#fQL!Cp7jP} z-fWgSJEk!NT*!EQHVJHj)P`nnZZ2~`R3?67H%PFojr|tLu?-WTI&#q8tD0QpqfGaNQ`gJySw}7r z9dLZVtX~q1_~7ApUR-N8vOY+@s%_ZnlbkMN|BgFu3xWw$VjN4A{~c>B^QU|*%@Vq> zV4EXf9_QUVl6mRO?_HlYriudR1m1q4Z(L9r-z5Qq)C(Ad$tRsf!=5$Vg!duGq2tDF}W(rst;dwjSx?_o2B>(Qj<*pGq4#CUmZH~oht zp~zs%9hmw)Ch3DrBe#tGy{4Vlko* zY3(|#!D@&JKi&?lgL9Uiyl{Cx>7GmZ{*AeT-(xEH(tf?k%5PvJ+d-;HfM~lt>~l1Q zEOV)O$bml!p0&}`dvM|fB5PjM6mZ5QoDfeFTeJ?7G3Qulga)!9TrJJ@L&uV9o zc<1E{&4SF~(D9>vA@#luFtEVum_@bly1AKKYj-w6;m=Xi<@x-uumg-clNMC?{$q)* zvu3Wvi|UQ?_L1Kjd}*snv^E&?*Hm6^efUkw|(`h}!eCrFPpYdfvWNZeiwbt*deU`$$3-#Ne_K_@05pDh|W zZ@p33PoKkWFnMa7<3G7ys}tZlp_s}xN^ba-E`T8rFf)=Z&DGGTQi$UBP4hW>*0h(7 zuCs+sPycrQ*|@W5Ku5lbc4dP`5CN87B42{xmAx@-y4wl~yE9;qTsDf#^c+8+OfAJ( zNciJMKa2)h@W4bne8t)UHna1tiDHh%o`GeRC_(UW zMV8jt6I2_cbTjG@GpAuvuD#J42+79vNiG=TH2@u!?r<1qG24uKnFOs)h-kiliJ#`O z!TEeafm>P%9Ol@2$9axt%8bvbEwP3gHSE#HQMH1PRM{3YFd|40*Cra!6QN}*={J!0AKj* zLY4L0T;TNO$k^rZ7!ty;^y>>lqpPsRwkASPaU74F9lpTR;fEl zhe0uAbTCB|zu`*FY9n;nXGg7jhpJh2XmqanoW2#7?Kq?klm9MjJJZzroyS1Ng-WhJ zME2k?Q_}q#`I{HjULZls++trk3_p<>%(PxQ`)<;>(6W^pKAd9PX_xl zIf9~|)Py_|dWbuDK2)DNNHed)e<-GXRInk&;l+$e!s&CT*w5Dtj^!18$X^>d6N5cb zRyy5=pqSV_m`~Nxj)Je_w0Ik`1<3)vvXfKZ$vvWV_V+7q=j|N%KiY>&G(Va=s-=fh zA+>TD_Gd^<9yIW#UX7LM8w1dr!DOA?-1VZ)gpC9gBv(zlP{r+CAj!Yj9G_J*v< zL$-qW@H;OVx3>1I#)G=P#N;`Pg*PcOhsegVTq9>t)CSW3YKOh7gT5^r?b4=R6TZ(? z)-WIIyVJw9v4iE7h7Pe7)o*V;x+XsDsS(Cj)Vx@eMc@Yb770c044GVg%sMtja%8*hAcA} zN6=19;>;~|OUJjA@y(K9bJ+`x++WHILXJ1cK~{%rF{=>{o%Gz}(8oJpnI6E%04=0e zRP*NRX*k5xh{^J%E6Hk@Pe9wrP)vbFUcn~AHEM2L?(c@8QV#t=Z~J4lRSD1KV8xJT zm#LW2v@Rrby7bY@tpUYbI;ut|9J2cPXh3_M-NkQvKVARd=*6ffTbaHAK)aZdtvn=c z9bpLkZ%w4R+d#{MItR9t()`b%kS`N7v*ltaIHXgWt5FG?7;#wU8fNFH^_{pPq_KS4 zdh6B_#0N#~{yd+5{dC!9Z*Il7zIeWNFP-zFy2n(MJwO=&oP>=c`Cz}F8hq_j@IaWf zH)HZ4eT=|P``#1F&B~3?n_OLJg?}V(B}xWAupa#ESs97MY?;v-V!{<%^yy^Ie*br) z-AtJ>3r8H__GX+>Sr75-8Xi}L@eUCU^$pFH28KVo1UAVR=7K+BI6g%leh**<{!DC^ zjt??0p`_#HeG%!oBhHnP{Z}58--EtRXZ|d#OY6L@p(egE7a#RG?X_1Hz&pes&W?Eq zvnwoTz|+%X%)}$R{q`wo(+if%2#* zqKL+!1)AwLS#;jQBapA0>I~85Cnq9^iZHZ}0xveX3m+`hyS$Q$%Y->n&G)rE+cNq* zoa(KLw2A|EuYHN|+{J7(8im)%E#0*(d!U7h$YH~sp1({eZwi>`Iz`g`KZl#ke8Q-Y zLNMP1w-$~Z+S|01TV$WKSDC-V(&tA?OZ z>?q*A0K@+I0%*<^)UR3{$7fHC5kX_=tpMyC)y!2VhReqBRX68zfpPjjg#YS~bBcJ+ z%P;qHWw+bKfySIQx|pim>ws#BYO637%JCPSa@(1Nw`zqv>bYBestIL>vw3Nc=Xzl* z)47x-`OK#gTdPh6zvm#7-#IS!%S3xV9@XJTcP@PykA#?yA3Xy)whHibBE0G}-V;QB z<3=t<`x#HRFzFxR8QkL%WN``WO)!-K;0jj1t*b&#Cv_WA>bK(%?(T7#qj3o0ybmU; z)KlxX>|;(D0xh1jwAC^1j59s3@8nP55@!Cv=%ewu(ARZih~2Wz00~KHFR6bir&*8i zsI-~cO~$@Q=$NF;*F5Q6V$qanSmCrc8{4&k*;7k`-$S}OjE8wd6MeViAaemNs)4i^gP*IPta^K<)%dJ~Nhko^I*Pw>Gg}#H22>;TTu2DP*rr{+=;lG1dG$h!& zO9p(k5sEJ`qUdF?h&D2GRP9w zOo&(<832WFfDhbI@7~H-o+zMbK4bmTSexI&{BXvJZzF0oD~=}3uB4D*BbOtO>FJ?( z(}B70bNGkC02P1&3BoRC1tex)2Vc!v6-^}H;%f$*#0MtYKga+dr@uNms*ge1rG`73Lf2dJ%TG9;7^M)E54(Sa!^Mg)xo0uBNehao zqF*_07qdUsExSka!2hJ}OuRs&byk%cT#Q#oB;>L#q=tJACTh>hyk&cWbv_ccf(I&C zNu;O7o%E8?gfM45gp7#H#x!Gg(p0*0xPr6MMWqiiKW7K*I=k-L%)q3+5U3Lb@}?x5 z$Yn_q5}-J-$-BOJ<^3=A-nuKUru!C6aF^f^EF_TNF2RB)K#<_>?%ue&CBZ^~#wEes z8n*;@YiKOc5TqeU15Lx}Jm+`DIQM;@`vvZ}|LigL=&ssTwRf$mwbq=o9uJ6E3c4)v zpX3dnvpdHP3i95>nCG&R*rT8`oS$6mqEAs`6Musz4_M(zhWkDBc#_osnAc3<`SiWwqtW z-b5k*72fcV&^wD~(-o3q3|zJI+2A_qp2I5>${jIXi|8eg4Vm8mzFx1@YX0GuAlhT_ zhO5|!8$wtsUzS>ay5w1cd-SQ)U3{S{I-`L)a(A&aikC6YUnMhSOMbf9X{pUCp{@av zP$03ikCs}|FPOn8Ps={8?Mjl)D}R*l{1ylF(8VT7@oYP&2245NvzFubMe>h+tBjK% z)+Qk!p!v6}RAs2(lN%@=a3z0bxK-ddcyBJ^@cikR!$5JKvfVTZQG`PrxA@q7BEl}w z<;yJ!E3l@1JL&5%LIUF*ef&+|_hjSr${zvCd`@XERk^<{MjMYSQ-azY_@UgO;@u`v19E6PvW6fc@k)31IauZsh}d9w8|Z zpTtG$m!)<9z99Gj137YZIwPL%YS%soP@guhpbqukUAdVuGPg zn{#@#6Y|?Tlo+mRX9nT{P%-)sYI=0;tw3rYG}x?}dCMK6`c5H9eLf-UZG96BM@xiY zI<6of%31F~_^1a4UEIo;2d)ac+t}C~bp=I9`koLw|DJz08Q78R(tEn(hC-4}WG_s$ zEUB|V=@YWp`t8Oe=IRG?a|+JTY8`+|dMme#F?yWIJZpZYM|)C0F^U#lZesn3^X9K-0W+wWS1|?A=fY=ulsffe%(wQ@32&Ya^ zsN3Ps!92uI7(%zR^{v!6BmYSdm{T#KR1VmH&pVhjdM`43eHB3Y4s&cdHY!sfwy3<-xg@FtH_F z`-6tJk1vM}o2`Ic+Rq(aew8M}i$w5VG?~v8C1^62;d6{2lai&|11^>Q2)wD)$KXub@i!z?gz zZWZkyD06I5rD7-Na=eXj)&-A}ki!$l6vzJ5_Sll6?NA>5qQL_#lc^JUWN_n!TDZxB z$RJH7YOmhh+=&xS^0G@kk6##V1h#v+u>d~omxwd3A65u% zZlN&vKlf~nW(XlFZXmwZA@5SAL=ByuzGK|Zx4ZYmwemLp*QbTtM2r-1NiG|t2a-=s zsiq!F5b|P7<%itO_`EO4;eptpc*)Y`mHfaX>Lnt+H+&$2Q?!1%$k8k~Wud3a62BYD z!EZKb0MzIEWCWjB^gB*3kmQIufXKSK^_!+o`>wd#TF*aj`o+}R4JHMt`yhfZ_COY z-mzUi#UQU06o}TviW&FAiZ8qWsRS|I)VDe%J5hDty@x}D-R18ETodIkJBwX%NX|-E z=)r518=Hw$p-Cs8oqg8i@zdGLmT35<$(v#hJ`CK0^B)6}Pd-w$K8vGLM#`QL0(+!b zUml=h*}{7Vzs}F{@(@{pVf+jhS^zhOfFBlRotK$T3!}rc&1kQ;2dl$@M19C-YM9tc z#YYjO-!VFm8or*qEmvlX2JlN^ri#;K6Qt zvPf=gB2W8xKtQS|?f$J)5x}%$AOMl{Zit6x%n=5#GyP*-{^tSj5daDT4idUuu3g8v30f=K?rIDF1{~s zcnovE`t_IE3;v?Q2+_=)ksdck{aQ=V{Mll)+t_c@mlC&M2JJi@VLjLA#+Gm;(4lqA zBWIRnHqJ6}$)$5C-Q2*_zV4W5!Sw7lV4a%_+~qe@ox;(TV(|Bn$RyL3CH_3W^Iha( zs3hK%^VQb41QpaMM83_J>ayH*1G?Sm_N%z}*y`NNqf&@N2Q99V*b+WWpyz2cyW%I< zw6}mz%L~BvH9$?C1_%^Pz>s@?6Xcw#IK~bR(79nC24#gBy+_pw9;J zPf9;?C6vwyy&NTJ8BoL|27gRlkQiiWp;$&9g-HUAc`I;DQun1q zF6zsT!-W@|=xb^5Ca9J-k5TdSaZ^7slh(UU7@>N(=W+DX**VV87an_oI*j!{6`Mex ztM+A`yb&ttnSyqi#XBjNpDlX0E(kpg&Bb$Wk^eN$i4WE-&_VDjdPhmuFefu)kM3dtiO{elpDX?v3>N?cgj~Hu-&D5V%RzfNM*CiTSxf0A&3er*hf#T`x90JQ$5ik zBf+;4jzc9$7ZpC9>|6_oEM%Vlp4en#o*n+u?QCh{1n}n1kVNExu4=A1qm}?5Da%kM z4JzazOf!h#(ON`Ne1%JhLvG9_F%c3>Gr?0l6KlterU}TN8W4fMHZ2q6^*EBCd*%0p z<*Pe03gPc(GhYhcCi&29*%?LNJDj3WXL?dLhg9+>8qj)Ls||blCKA7XYDH>G@HC9| zo^5yWWi4#;UQ04`CHTHU9T?ti#0!pmAsOws@qq{MR@~;Rr_f!1|hw{^TF*Q zvo<7YM^udYB-@m0K(YCYqX24;EC=s1;r*GaF3w=n?x{Lxl=|{M#Tx@0i!`{LZp`UQ zO)%BrTRw1ndgT!!)w4H}_%cyw*%Kukrs@gl4LRka6(l(%39fDXt9Zb# z)2)seT$nH9{a{@Q6}m^2)~nDE#DvIXU!*6^W!qo91X)b{b_SBI4TY|OKqak|OLW!{ zC%JbTF*tNKtlO!UqP9_El7Aspos98t^<`Sx`z|UUo1FXxy=9X34j1rxITU2cQ7T7h zZh_@yed}>mMbG=DC1)9q`&&h~p7+}^mTQR+4yk4H?ehbpzxWAXOcbKgYoGJ%PstDk z0s-S%^g6(2d(8_|q753;efg@S$zg6LK7&*4sBl`w0+)3E2C5{QTIagXnAB|kp`uWB zn{Wz;{c7FWk75H&nKS?TBvZ<7ScHLC`>R799Nmy9Q`psbgYc=wPb}SXov&2Sxw1iV zHyZi{_-?!GI#we)t*TpnsV%DbyQYD=0^a^z{V90w6ewq+``?XQ^(B0YYmbv^V%?_y zq{Cpk7MB-=eahpc_}qE@d-i1tK!6qCsS5B1Fn>Ie;?0o^)HN<$U=-izLxa(SL6i|= z#bvLO{QH<4Z^FV;+hv#{#`gEF);p5=<#_396)`rgW5VFuiIq<%cU*Qu?fU!Qpz-PP zMZIU|x;)$a6?KUTs0H9Qsk?nLN>%otiYs=J14SDfIUv*A@fn1%dEpyAp<2S|Y)zS`{6 z0J^#h_$9d+mgK69ij;d|nqQj>;%O9`o6{&xqex&iDoQW=a?FR54%ANN$G1D!f_m5e zT7CWh#)y_MJyGF$S77M3wTJp~Fe^16D&Zw0KuU_$bRGxj2Ii%RV*N3`XViyZIAN6W zovj@YgCaiR3J|=5G3GCI?ev)VnUtxh-Hq3jEi#*K4%>NtAT|IpiyR}y!pd>$0dwyuR%dbdywW8J-HNs&6F%rV ziolP6#Asv1Zw*Px7gG~50TLJLmY%{nJ+%2~U!JzXhbzE>XqYZ#U9MeQg{m*`tuR)b zeWhh~kfg%w^GV+0lJqt>+7neu1QB~Ngy4av*PtG-qKvaN$DgM`r_3!%y&P)OOec(y zQY1?m0I$AN>X7x^yRv7AA`K#-*f<&*Rs2}bA1CLCp6<}LkczijXNnaA!$}M_C-&Z1 zBOed^d|_smD`yNl0ehx^38LP9fh4GdZjo*oc1tAwTvzA{;Z%}B;$A15V#))U3Q|8y zVvFIPlB%(gM~6@VB(m6bhU2*bJ7-(S=q`({pQpYhPcsrUhl?y;Id_wmqJWZX=S-m7 z^OWnp&N$bWbol;OxSbSC6Jm1iJcT*?l4FnO<3>^|>^MzbY9e3&NJ{2*nzC~@v&&HI z@nRW0Oc1EFQ++K5NG#a;7W-0>mi)pP~D!uBcvf1xb--+!X*YI?ijmK8XJG5j0xkID1 z{!Q@TEwvt zQb4-zAS`8PIYaeW^5F)-{%3dlj_U>LGg8QOvtPr1poo#M2ntaEc_V zb*viB2`M~S9!{ns>riQ+m;ch?L)YsvuY)RsfiX7*@vckkX%#1?*= zVi4TFmG>f*GLWEN!NC#l|NR2eZ^ii$7ZYGqvlYO=+!8 z-@@wyUp+;j`JPhW2{I_(cbq$DZk(PEpGSmCHt=I{SPp`%Tby(3=T@cYK+CZ6Kb(Px z9LCpS%YQEE7CRk)k|1<{k<35x1|3xV!1llzQ28SUc2`7y zwu>p1t4`}Isw;6#+6Y=Q=z#K+1ACqdz(QyR`Dm~DB}qsk&-W&FGNHeuN0D4cEka!Z zHo1|?6ao;oT&1K29K}cu*=O)95zynC&2K=1fzGM?Q4tt+4OK1!Aam}VQ=l&msG4p7 zh$a0RcGxHGC*fB67@{r_`Kq?Xd4W~9EmN9OqWpkf$!b0+wY+`#cT~)#oK>*x?vnOs zeu%VjqQMGoON|$T-fsnNWT997Oo9YWN}}KAMF8 zsQ%?|=<}y&UC-_US7XtcFXlZt%%89fBCtHkPO$0Rc`AUvO<({8_iPZMuP8o?LA zwv@ty?eSo-)ex&PFa1wa4fC&ZV_}+hyQdB`dS66IrrCW9X`)i1UVQp?ytvs(AWG_? z-$D$Nbi2fy{B5Kneh!RM`87{(Lkk7BGr;NvnM5!ggYjA#bb^X*Lh+W460@F~u%<4v zzMa{v@3|Zw+!;&#J$g$~1)vnPbg|d~XO&S&q)~ME*MBA+<0MA6?2WHcm67|nwL>VA z*&i+fvN1??jr^IkXoWXN-Sa8pI}elOpHuY7otNzQln_$=cXVc>R4<2D^~Ia)cP2*T z8oXIvIdY&s-HBxc9fHtSDAy0+^(KK2gy)cuz~wyV7WG_Fh=h~Tz`@sd&OGc!gJKE% zQLSe?(s4e;gnQv$+A1Er#6?s^O|5q*Y)zyy^I9O)M>R}XeIfe#{;^bk58Iu;%C2EK z{|_NLO4&BX&qJFkyQ}9BY^I(R9Q21o9>hjCFNQS>Wx<%@luQLrw6glShGD1C@+ZfP z$9$F;5MtV*qE>BKXnwvMOej9o_1YujIMu4~kpE0&6YxEaV$V16A@F;@njXCMq3 zq^PqB(d(DGy~I3YCqW%|6`KfUDN7NCMTw>0R-sU1V-@V>1Q*eDo{>bm%`mBYK&5d$ zDAitdhatzcOOC|Mo=Hyi0!myM<}gXKjay%Ipsb2X&iv=x->b^*N0zI|3*~h04IFV9 z@sWTl7Tud+5zyS}$5J}}vq2I89GhN57@WC&0WbpCx!+q!u5N@eCGG6)B-dmG@kY%Q z%H{t_Y(T!>VNslltlJVAgKjj1BJK;J*d73$o^AG}Hkp@bgJd0Y<&G=uq0;pXr^YOh zJ)R$@7ZH*05XE0|K`OR5;ZcIPbp15>Rh;Xn2vt1di3dK90M_w#+IU>zgm^UdPe3;F zXVS^IlQuv(sqWrSwpbe3eDk;vh^TrHue>7MW$63M)IO@}B~jpS>O$HCXQxLVxL5f+ zR3umE7IEjXHx3f>-7PRO2`)XO76RQEzKQdQnN7aXsZJV1D!+oL?aQ;Uc!l4Rb3vxv zuau^j`@O_ps`417lU8Pno>}aC**73>@}4qNlMEH3grtEG{_q(V+*I$4g}j)jlj}oS z#-tKQPjeJCenpDB0LDs<6N#U0;hbI<*9%=kCVoGCIY=>u)XK>?r-w1~gvkQ$k@~l#PKCR|?DS>Hq z7Mj9{#_SY2LQ+wuX)Tx0^mivAQs3p{qjXS7T60SBY}o88Yy@(1OZi%GG&Y?OmvAd^ z^;5Rj;l@C^I8XBuE9_B}rWqD=9X3#L)8O3y_~kzY24B*DHaPNphOaV4tz%m8*46Ce zOU9_V?6n^`)Sp1A(~Krs_hNUZ#HRQV{2boaG1OsSppvE$h=CoxY`#Cjh_Xt2QxS`u zYdVN;;<+NB?>ZA>z5PB)jKN0ZM}ZK$ZlGnv|J+3ShMt_27mwS5Il)^31fk8^^2jh? zz*_-1zq$ZORjHRg#Uih&^ERA%_2V?0r#?(Mlbwui;$wm|-wOvM0WBoEDw6p(GX!Lf zzZaL+M`^QdV&WFfAN4%t)2B+Btu~Y-K%1<-dycphtp%kzLC2y6x1h}KcfP)igrwAO z2dUxIRo!Uv%<<|P&TNbk%DNG3CI$kXjLVa8qyu@&KbsXwNn3L9YvkO%86SGb?tXbS zh$)FZ0RObXy0I3hZ@UES86lGT^-(nxe_N7}M!^|A9pn2b`;Tx9)e_EQ=(iu1kR6g4 zZhg%QLQ?KjB)$H1+W@?0tm&8$o!p$c2~K!`mb5R7z@B#wYU zHR%TD`V%QM$2#Ev(FU~eYdX+KT(VgV)6po01KuK&86^d@&d<7Eybrf)ktk$NW>dJK>XX{OT`1nnmY@N%kgkG@YUJ zWDHNSVJa>0fHO#73tjE;sB+NJ%SvlHo*2n{RpTsQ+7N74{6Lvv1|Zm}+Fnj9?8~Ht zIDieB9&FX6kF-Av$q`&-`KnMluq+)IbZ@<3kk_*ru;PFJVKI0nVIIdP3VPruM?Gym z*()lzd3k*PkwY%8soF!bZ6o)~uv}UojcsK052Y%j(3I1LL6X{+*!*#twpW*WX6*rJ zkcg_C9of0WUphvLWgg)`0ZqjL+#CD(ZLx{Y+`x~DE|v#@Q_#(hxFeJllQ%=`8r)CV z;bamf(Bd37bK3vN7Qnyrj^XL}=QC`aS7*}$$jBV;svP0Y5yBt^y_-gtV&nAE5BJuR zSR43sySSsdf@-QcuV0-Yl}tlKO!i)>%r{DYkBFI`lvEc99MuLid74ote+H9&yLOh{&aexNdHvFSk(BLh%)!S% z0b!t@pVIlmNGIISR*EEaV~4zuH4%L!|0I;dp8mCOaWCo~?wCetTJ4MN5LPhW_Vy6|PDc_MhV=i= zw29<)yY~h8jW;{4KRHkT6+!?3D=}mprcHup3brwT{PF$QN+Q*pjY40j)MHNtxY{H{*ZYW0D4PmKRCy&c4zzDb zYYBG5>RA*OtU;Fyvde{*7=DvebLx^O+mVZByx@UrLP-uuN1oU%=>wL`b7oyWm;0xcf{&Yp|Ts5QS54sHb^X~ky z8yITK(w7)_m~2V}%IZ4fRvGcVxZj0;;4Tabqmr<}lBc9KxZ9*oatAHry`nO9k0+zH zk6Rn)cIzU|Pj!OmT?D`0@J13{p^5zn@ZWIT0a9^%-D0L0&vAZ@3SeL2rh4uqH?xRD zhtUY1y!s;$mLS6O1q()+$*i_1xi|3a=C04}WFsV)(RUk*!Dz6+#$5?x(L7SYJ?~U- zNu1D7Lgk^s!XN_Jc)!x?5v5Re>iZ#Ygf2I=^_#9l!1fvQMNyN(rNbp08jb{87P)J;7J5M@?tsV8XDi;S_4BT1@D*^jZ4medi&Iyq>*LTY^1 zc7Ou|P@r4RCDVGRu;8C-+bj8flM*MEqcth+E-K2*x25%1eZe% zqUw;nmHPA4YrsBpY&$%$XCoLrs655RGH`p{q|94PBy|q=(BJB7;A6foL4w{SV+$f! z8mXvAC$N)J9~-7N3)=e8ClDQ@JPI~FEeX==y&5h8z8OFVj{rol;jq?Xw||@^9UNyK zhhugnP$C1{y1zqs@o9<@b$Ds~jhw|Z`z)hWx(*m~x+YG6r&6WMw4-Zc>Rc@>G6oO_ zVA%?%AWw+6$u2V@JrjzRw!lvlo+QBJQ*JH{ux;$&MQg^Q}-d~La z$Vq%RA3~cd{F#>O^NiT!bDa8+r`fv_^CT*COI)CecAY(Gsb$z(xuk)rKiaJ(I`*a3 z=9C@Pn}mYFx7tvTH*gBG1HuQ0Hq_)0bQ~kshcgq!guLH1LwS0KpH@U&wPa>WO1R=Q zAC+*}n;K1DMpNnb%Iyn|;eR6AStgBe)b9(dsouASx2-E`U5^xKHdg-_?dA7gGV2N` z<ZZHYX2;(n}U+rsIKH z4kdtPl5IP54>pBS=BZLodW;Yh{X_0hG{YG08fWn*L27+fO_xq(w`xm(aR*$PB}pcG z*2aai!^~wGS#A|6_K`;29#n4M4($*-X(KZ!0ATe0Pj2n~xKfmN$GlcM^F4Fq6_a-9 zGgFe3tu*x(5l~bsBl#A|hb}z_QL_;uc)L51F%&Yu@&%jcc$^^hOF^tFFKk)Fv=PE` zMko^^2HXR@Wi}*D;~b6CRCvKHuoECpf|~=sA}B}P9R1k|eiNk0&Mj{E?JvKYEQ0z6 zVXY^-#9F1cFU*ycXU&s~WHI7Pgm*guP%i}ERA!KJkVGOtYI>+!tEDYQsH27N4gE;0 zNLOe`p2x5OO3<{m0lBmxT%yweJQh5~Yz;+` zBrB0-I7mQAMt$dPC+|eL+=l7b)!Ag-212X6|Pzh!x zA5g=1@LU6FA*Y9Ay)lFYqh<910Cr~87ELd)5VgW?!|qm?yvH|a4&#i)Do z=#j%-G+V&Fw+&7>I&o=nKL#@u*F=kNS8R8`XViq#sIMA|tUo!hfx_P}>0yypqSQGK z{bh~-0iL{%h#7nbT-N?b`0rqH^th@8^;|CM>!omMl~ob`B!xMoFikeMhBDpPZrJ%w z{RKa#Z_tNc0M(~DQUWMmw5|E+?eBEVmdE`Mi{ZCNmpJN5?RoG&(Bv@YZQxjCzQTG#M zG;M~_Hw}{U-kX3u4|a(EY!843TMa+hmmiK;$ziW(;t8-fgHSml`NA1G9=(T%p~SLe zdK&-f0x1vEL~UM@W8Nz{mCZyRDW}eyo-L^mBY@h%H?57S4j9-4zRu>7OReZNLNb7o zS!1jum^1mJ45*`{Dca-$x5yQ;S4uQlK9jvTnH!V1F!yU^yw|kof#4+@Wb?GW7>iY6 z#Y9e;1gvf#Iu7jpXNSJl@W(QA*i|`c%-`a?jKh&~Ww$h%##`lfluD-d)qc8f3#>{s za5q6i+W8#y-Tf^4Cc3$M6UB8mYhr_9GKzY9Iz+3_!sFt4AUDK)%6NrQsIfTUD^mt0 zG|3^YBpvpWy$0>A(i!7-6CZ>vE97cnxc>Ffw0Ws5u0F*E4%U!H(OAk#+0hY!`sOx> zzZnOHbX9eeu2jhPKG~v{Q!SDepY>f?Wtn2&M$zYVuS@}hgm~Lej-&^Hn{nHy#F&4J z%apbAqJJ~QIh5n9k)(w$MA}3ll0nT?W>9)E82B7L0Hcw|6!b&qHSz0fl#nY~^;=Pp zy{1SQnkliiTBNBJCo!?HjNvr3b-8)rb>I&kc=5!o|3jDWF|8gA8z?HY=Gx{y2fBxf zBpObo9|PG!3{Gbrly1wFQhGVG_ef=$WMir&kkl_A|h z*F>G86>gK%$n{iY{a)jg7;Tes2Kx?54k>h1gL$n{@Xj3YV|rI=&3xo4{&8%%=HC?S zp+LAFUgp%jD}kF>2uBaIPH`b-YJU~h<@T-2uOV?d`~YfJ@KTCI4{2~cYKyfM@MH9p zR$g9ZXtq6+6grYbvpdNc30U)=la~+{hjRw7YKTK?SA`KHA=^_9u;-U{j%)_ew>Gc zA7vl6PuZP{+Y?UDFjJ6`cb=68<(YcdVLjKo^sAR$+kscsnZw|Flb5+Y zxU4j>GO3)OF#j(DroR)2*l|3JhFXbiKM!wP?>6CB+FYsE8t#n#g9BWPsw*guf&=L- zx>(QDsw{_OJKoG`MNQ)laoWi%$dY-O-9oFST^}a=Ul4KeExkf05$eA^nn0=NHCfuQ zap<=AN-Ekr@3klBy?n~|^u<>ZHL2So49I<#J=lgnU|639M&jQL{Fbw6UGp*D z8)tHInKuL-C7oB2Q#2>*;se|Sb)CGOJ?A$BUeGHfWX0wxn+$pluWwmGD4%0>JRlN6 zo*rVq&YsF&6>j{jv-IeD;cd}jtRCzzXKjPaP(8HM!Ce5ESI)z%lV8{JAnPgyz;JxZvrXiGYDAODB`#MEpzg3HH*Br4bO zwOPHTLMXw#%%jH`A2h>y1?Wz`Djuno?SrKxFPM8G5LPS|T+}YzCBy-ad)`fSyz-30 z7ky0nJOKpAPZbXz$y>hR%1$4Bu+Y|E2-^Q?J}Z3~nTbU|+nR9uQNP*Ix#VPD`E`$O zHMk@E6D8tOx&4tWlolEGw90HMIBfdSliN2&t3Ge?^&`I*fz=pQ=TTDgZ*|P#Ziht- zKN~2aQ+`uS#cG?5eH=_jbD>!h{7rp+d^Gc9Y=1`jdJlrzSx|>%a*-nhb4N2uAgL6P(mrK(JOA8FDQ zV_-RV!qo+zC+EFwY;Sk^FsHnrtPyH>yC-@5sPe0y%uJxJFdnIPr98AMztVL*g+TWV z3M$PHMdrQ$W;qgZ2!53eECVY&eqa{I@f*mq<10L0%%W$f_32d3(07S5_YulKoqd$; zw-9?CY&?-~KjZUFSktl0MCGOk;bg8SJEgl3Q3#qL`T z?M_*ty^H&-X605_$;hF1(ueR~9X->dhh^g1^99DXnTG0+TlAeWI+Jq~6kqL;S&mZ! zqogTs^;gO6z0At9!m{51Q?ID!VegQ9CA3HsGdqL$$(T!(Op$a-ED>@!bmh~vxCu~X z-MhJG=@#8EbTEs{Xp*sJBM+YamHf8~TkuNZr;{V8$WNiH6OR#l4!fIBh9=b=>Ra>rPViu&@Q;tlaRfiN5(C-ke2&9RtC8q#9tlI z!4dJmVLx)eZLX}nrdo61=e@8*0Y|6 zy~&-&8&$eJS{Gv6t1seFdVLVR>c&m44c8M1vauFO&oL5NNl707GlkwBYbUoOV4Y(< zc9)pxj$4?0d064I2+JSkjEE@>ypKW+ZKGFr_p>nD%Su|8p+cVD6u#dp_+{2RF7KM| z#ioK!4xv(rN})K%C*QA1WMy?cr=cMWuje=Y`nvF>2JFE(Yh8FDjEBgADVJi!*1s2ilX776zo0Q=(G+U+c`)qk5xZy&#}dWE@?CgvvFq57 zmeI7YOkj|K8-A@loD0<1`quqLQ-uRFa%K-~s4mTNE6ri}`Q|QrVS{o8i81%x%L6tlXA}GP zq-ye~Dve*zAdN5g{nH=(HSwzoK(KD!S-U64jbVtp5=8AGVaVi#Lcx8RCO&AW2J4uV zPTGxqeDTIKaX zU`58sNVj>4DwI3Uz3iMgg(p(fr|OMPs9Qfxucz?1>Q;E{ck1E3?@zVLT9#mvgcLw6 z@5^g*%JtNH5}i|O!8yFlSC2lBm1uXv`kGIj?};&mG*j#AT4NlG5dX#CQk+R=y6 z(8ecK=iIoMpt7Z2@m%M4YCMF^zUMcqWkMxp35f!$%$KK61+wkBLba`wLUYx>@N!qV zq_i!N35i*zjqY7@n%_Q6B z+5G%qy3lJ4mSUd$R8ZriquFohvwG02W2n=Kqoa^-PhhbE7$uVSRxhpYy*?R7heV@8 zbW-B_!^X`0^rb2BNqzU5r7+GuJB%)o$a|<>NB&Ylc2##2LAQn$p_WT64^b0Ou;Qxm z3={8d`-h66a9$lU{>FS53i}TUEv$trE;uf%Fko9X?GK@!xn6fW3fV69zd>mHxIt+?8eqbAThS)> zADVwMSSeMN=RfwLE08KAc3rYa+pv4hwoVoOc_!auJ=DZ$xaH+f&xfvzd;DU^vT0x6(V+0tVGqr2h+Er6?QL$^#wWZUAA$uO z9j7Mgbvv%$%xSTGJJrxc>&tAW0D`i=Gcr#ntk=t~OF;b0e>bDoi;Z<}p5zT`i_^ly z>;Ff7$-5K*4l6UMwQa#-k$SMcGltx8O8C zevvbtDYSHrIc_57Gs z#tRX;#jeaw%WZK&;MNKu7hPvIaV<6MfB6uZ*f3^wtJdBOW|B2zA9>w2`3UbLORshd zC|c}qZ&eq~b=7dwD-EVseK;)E12S8_HvhQs8qG#N`|lYeZit#JR42U=4~s?*c2wYx zSy{XNGopi;7(|lI>6cQKRXP>=?kbfHPyekQL#U75>pCX*Vv9fUq(-5|^DO46)RWE) z+VE`~{N?PW%tn@utktg*`c(f?+MJCFHQV~=E_&DTD;BaNyI1O+7Osv0-$x%UQy~7D zt^b@#%ea4^x6f)EdLw~2NXrmw^7GBfL*wcoZw-O#jZT_0@cdU9lvSjEu3?T%FQU$v zStro!S{vc8E`awhR_D!cd=h}|xumv$ucNQ6fFt*j8eA2g67et7_Twtb_N@RO1mBRd z)Z4MxbHkM3YVeQ$`qvJ$i>>VUaM!-j!|Ey0M(SkA90|X9SHS=TKBG<}9tHkMh1O=< zzgZP9^Bcmc)<146_`>1PeiTTUB0k1F z-(&($|JOzZ{B6Jc6joP{Al+3zw=e7ClY>cb5mBoD9zQ03lqLRE-C%q^Cd1KSoSBDD zBvxM{d1b0oIa{F7W^^gG5~}ZW7~*^2Zt7j+UN3kE|L~#`T=Z776Y5`z1i538<>35U zlwAMSJN~aPl^a$6@wNb+xNQd4*X|H;c*D&Ee%qPX#TRM2uH*HliuE9~7Y~N#t^rL& z3)Ondv$K|m_NGm1_s%a+%D7R-D)dJ5XfGE7Hj^=OVxj+G3d=u6UuF!9$h1 zkfE|Rr}=RThXZC}Tcn+42hemhrK?SqQl(WQFtByw4=KNy99$co`L82oh?X?lod-WG zg;If?;LtTD5vmQ7z7#3p^VJ-Kyj!|ju6j0CeS7GJCL~3=J}DXDlDxj=2c-A)e%JG^ ze%rx!^qY-KU&Q6r37BT$OghLWn+r&T?}mWr^#xodNT0+I+Vb?YEt~GQ{(wQF3m2+G zko{LD;wr~mm6X^1_;DZ89>jjZX@%Z3|9ELsjDB{bjv$eZor*LTfgq;Xf{*R zMK$r_Bg#d~zbpHHPV(N#=O1T;1MFT`lE2PE8KGbMD?~{9_6#2(j}3{#gQ~s zTncUbY{H;(C#Arss@%d!}y zm$=)@Bi?7XElLH1e4`JQrO6SsXh!lmHtSUC{J;V=44MX7)(7)8lyMm}^t~1V(w^)T z^EEpkcX*383|+VbS$*Af=412Dq1COX2s=*1-R17pVxr3NP-~?@Irod;&2J!Y9x}s|TS|gdtx!a0TXKVKT`L5ArC8+fSQD$y;s~F(- z5$%8UA9eeq6)i`XZoHKo?7Nj{3w3_Tn`!JA7E)P~dp{pJTWt60aJ5VOlt1WxJ9+o& zVgmoT{;>`!(;?V-e4BL2XZ$KHe(~67Qn;A;nV<-~PxHSv2Mao?1Do$3H)4uhhw zRWo(j|Dy$v;VYz}SF7Aw%B`)Vso(DWt|M^Jl*%2}P@|OI;Gku-xsKEimbdfI86;pw~HMZ&{(v>R;?gK5kowfBG@0 zely=Z7#RG#^Y~}5<@;H`%En!ASzjVUXzka9Z$`_pQPRW)4im&&t_tfF$L!Jg9XLA~UD$xvb0;D2%gp zDx}gS^r36<)*DFEdI#yGTrRN7T7}RjtXNIy)L+r7tQw_q#v9pr@tB_UECV~a7X9{n z8J%w5G@Z#PxZK4pf1}MYVlOu} znf!WWFj(8->(UY0{ZK!u%iGOgiiGtkhphaepsN}K&Y_N>(yt!>L&2|G)uh7A(dZF% z^~_cN%JM}^(B0rU-Jex{>BFTdJ%bMMJldL{$i;L&6R+EXB$}?#d9wp4uEbsYO`4~v zcKp1K2BH7LWjR0|GrSEpqvzO zn4Z|uhP5ju(CmGDbh5)c?K*8O7>Ck$bDxz{w4UfuhCY|dgec<9Gi17mIR9sb*teSj zh_P#yi9sKct6snFdU+fYp`sXCXb4=liLcZ&>^6Q3E_G$jfnkMx5b#-eX41~j!nAPN zvTr=z{a{}z9W-ZKzjv8NF}Y_x(^dLkRuZ+!mt;N)hx$TlX}K$Mb`{@ECG&4rQrz>t zzhZan)E>{~Rogn|sOcGp*rhjTZG5wp4(gd@Mb;0GwzHm8gUS7hOYDM657&AXzIPdP z`Z9MOb>m%W_vq*67`RyoZ;$QzD#IGC-afEj-PnyC?^}&ocig^5`qqzda5b&xkk{YV zhq=I7bMmuO$dCL;E4sq(kDLVe~`Ut&)T<~}rArkBEL7}5SQ4qL@NbfBHLJK|gCM{Az4@FAo zJ(L80Ne`S^YVj-*B4q(ZL3s}L1Z+iLz)${V9vIUZ_uSmbBAc7*1NdT($qh@ z_X1>t;ov9zO!Uu>FcXg`kDI$1*FoIZI{h~H!&ZHXuj;G^8mQ=I-1N;vmy^~+SI!Fa zALS7gowlrO87*44!)o1~Z6YiAWoKn=ee$}4()y&;RMJ1ZOE%WifM;B%kfRL?x#Vu1 zY1vO(-p_Q>k=IG-)<6A?V<)7H>8@1;Xgnro=U=B3<8X#)iXw65X~Aq zBO&Ql5N+ByB1Ve_;-ujUr6MlS%BcH1ap48a+FHKl0ITSL#Buc8 z0z^Yw_T{LAY|#-gjq?-0xz?-T?oQ7xxWCMc;60U{E7RSF{T?c!RvJZ`4Jtn0n{8qS z(}vNo{d3^}mZApe>Qk8hyq6jSUpiq{UE2bJ6L6;@(@l3>#4F#_?wV?6OlTp0!3!gD ztx_mywk$@vH`nf*MUjn)#b8#y^I}BMKV3W^Sa|>hD*{WjCILr8SHOvTeERki@cBns zM+pq@-vl~CP!CK`pJCl*B zCcP^^^sXT`2Giu64MIzP6yI#NVo>QHfT~jfP3DcAv9ZMiHdP!0_t|9JIlDFzbJY1j^z;@g3rXHMkWZIh*oK+Q$@O zH(9`|7Hd(-Mb1LeAY!8bQb7}I>#lne3oy{EGtP6`Z-z@!e1FSsbIf<^?YdK?lElsz zkPAj(T* zqIs=ItE}70wG)-J%0yFT61T1e{1=4i?*_3F(697 z!rH$1U?icz)9)ncwTka+PialofBM91{wGbl;vVEKF#HhSW<~D=5%;?UHOc4!P@L=T zITqoSMcZQki(Ow8MN*5sKrQHvvn^llNDhf_4IA|tRG9^}Gsbz{(6S0M@$;#ZWHASo zUC#S@x7`&OA~`X=jKJz|0?pML+9~vR?+I2KsE|UZTEeLrn#6%#4J|l1cPZiJ-F4o4 zedI?f137lZd#nAqy03w;?sAL+`9`e^`A>Ptu}%w)8Mq}(lh4Wy0w{O4#(=egFC%N6 zzWhAk%?F9E7&{~Q52384qSZpUhbvqlf`?Zlc(l(~>I2Q_Z?x9=nVI!wbYA{E9p}4- zaT)CgCY3W(6ap>i27!6;&w&w;8|%QtPIH#+C0)ViwXVdn(M!cz5j>zeoRE;+n0L0- zC`4DM+qgYzK%$)wq@J83Nz{|of?APLd9dd+nxwH<$1uJ57@3`HyyGymAwF^Q#Dx%mx?sACkeCn><8}aDIRmMMV&j6ZJ zW88JCYzJECIrZL^Xl~!LlSbSYD&B>i8`Ww3Odz!PG^Itw%C(Mwg$kmFS4~iHMg_(l zg_)|vAPPd^(sf1yLq@#|qw!N`*kcw*s*zcpOJFVEx8;NtxN;)5*Tua#7;miwx)LR_ zJwG{X*91+EVv;uHNZ zuea~vq!C)8F6JhzUTcxmZgrHuvQ)#H+pD&%w=R$G&};LyIycjw=P(R_zZ)+uR0~)Y z1;@I6zcs#AwI6j}(Wdo{bVY)P@XVg!T@TMb^z`sECUJa|f~=_5H$Sg{J?lzb?|j;g z84P%%kb!%%fQ0mW`4@w7K$E)3$Py!vZl#Rs~g%{f0j0>f_n9 zxL@g!IAB`AE2SSyt5&=ca)H?z_4txQo89xUg{;kF8v9`Js4r2zFnCMC%?)7rTSGRR z)hD*L<@)N%2Sk@WXo|lAqwHw}!~1-aKi=zo&&X?SQ;zG|5WC5#!BsqnfS%;#gIHtA zvLP$u>~^g_#yg#nUVE|UF7(-atLA;i-J3Auj^4tiM(CTOB-UTu9+HgUHK?(!;uf@r z^YX!4&*xS{moH{D^8M8Nf@gqWmiCYGL#^h_a2!XwQ%C*M5`zz{`S4Ms z%tY&2p?1OaW_=hF|BRlDXEC4?pCjsb{|jG)(kg@U=OVif-!y&Q;K>!({@gF!-i zEU`undi|NtfO+X9JHVV7{o(mG{Xk}cE@1S;BB8g<((SfQOMIB`V~VIWxf3W*EZp4r z#@pDz8GqKw^$+)*|yk`Mz>{Xx53dsYE&8XzmqRX%m zV1k9qnzufTgN*O!v2l2b_a>6&LHJ34j zv-6`wH)0v_1F8wo)=3u1OKSnMq3XbNf|o!elc3ROuP-dfAs(uORb>zg)Z$rB^~T(G&#?P> zV^x*Jjr;UnCT<8k^o6v?in4#%KtZ`-NrP$kf%$+%7>{nN&3*7Pz9x#SV)L_rbwxUI zWw)S)BT`~{D9O)h$>Yl>6AkWQZUyLyouW3}6&d9#dtcqc!zFgRl4Gf~SSR7*g-lq$+ zuEZf1lDMsDvsQpR1EgWj(~(%6@mjySz9`e-k^s09R6=GdK_|88GFW=}Ud;#7ZYRHV z^A>oLG4bF%Y2mkYd+8jZg=P*RUi+isTLhD!8Hw5;E_hU-LiExEc9xa2gj{hH479i1 z{$9|F4J@cLlK&Y7zlsM!v`y`N_8)4@Fr7}T#PFLfr>gcq`sCZ}(Sbo)#&*n1oC zCj?oC31=Voj`PH?+HU4GU9#!?c2~=GE)&Up;oLP{L2h(WIHSWOcGfkC>2NAnzTqV(4FC3o z6vnkXJ38yTJUH4DTC2JR(1i;z_R+a=B~MU+1@S%uWq8W?*4Y>zAQZh)y3_iTY3=eVlfx9 zuxv1)Q;zk`_{?Q6|E2&3AB9-(f>R;L{wt}cssKB2p&+q0?+G>YMA_pQ~gAi~`t?0_sW`-o{2RgfRV-xB-sb zDW#YJcVXwZhZsx95Xq<~AIDP2obO$o^QXpcmG~*=Ph2^r-I=rsz}F0q_Hli5|1k;= zKyGM6bYRzI9{DfAyYH+e#3~l@IU!?_x&2i!%d(KFg|5J~<#b%fg>w>idm!h`SD12E zCaOOjW#d&BBkok``jOL5XzUS|t0weqmSh0;V7Ga_=AQ2fs^V>M#=)1 zsnwcSX($M9)!nmV*!F0P!F@#E=to@_U=g|GXAqjc^neP!r1=5yDDTU!Q#VyG$FJKAF zm3c5w{Fj>74`eQp_xHgj?wwR2q4JViS*1j8T?~?pHF4$nn>uaou03a}fk@a)~bF=8WH59rfCZ9Sy<@ zQ@*b{W&Q2iPw+>o<1}4!Bqm?;Cr^gYUl5&U?9(g%fX-2G0EQ>YgSRln^7qr<<2wUC z$BBbw4Dhpt7{mKC_sHP1@m@@PBm1%UM3+`q>X=TPx}L*Y(K{wXZs04y>$~HwQ59j} zv9Il@@wt0&Kc;{$3eG7dMp#%MmXhY&eXwUF`}DQ}N>k4cVYY!wFqMpq4gSolwGt0m zsgWw*{=RNiwHKxR;&zr3l}JihT=+NsH?uK0Dpe_pzZ1XZC84Kq1yo?%Ue{MsKPLe5eN5B?n!uOz1@J10jen`v zevFh@ER&A2cu~ypOo59`8=NQMao@p^%S&xmsw;{$cidosu0)Hq+J}m zbbc#}@fXH$N`-AM;9lAM_zH*uK5=SFSSG~{bf~MYy`fbs!Wy^^r0oh|Jhz_*nn}eD z*_4Y|J7udTRHv~L&qu$u$$V=vtXTZLfw<&W-666?BDy`c`Mf{##zcgky*Ds-Mp-vp zxtqTL#A<8EDfuPz^Q{WNG;rS4wJKQWr|I&gHV(W@oQ^&L-2OSQQDB^{P!zVPB6rE+ zgg&?xm`}{i!>gUICX6ZVem-7k?xz?nhz2J5P=UXHHL==2O=P{w40I~LJi?vx7*cZO zSCP8`h@55eE4f3;I?gys6n;Q%*A|Q)@1fH>F`YsEnA9ua1Z5D@dckrl-*B~pUa!!) z?Fvx+E~iOxit2qdlbhYz*L3Z?@2dzYc7@%#prU=FSJ{&{n#zv{#zCeZ6KDEom4#?j zvU;bciz?@rz*c}^Slq!Hto31_>MR7)m2b9THdRbUdw2|Ur3TH#Yz3Vv&l8-wMKKsJ zVjVEW)<`u-D;$Vb2~m-YgHE}=RQLL+gcHKyLCk?VaEV90&q|+!8+HjbNX{fUYosfJ zEYM{^qb|$csEt;2PX3I?P$r;^{&ew6k{=G56x%^Pq(fsk@(^hr;P{pdR;sE}jJ-!- z{&T9;1Y4n@*G_-H)KQo@OpbpdE6ZgsYaNA9giPZ}!Yvl>| zX&7I3!y3>jS|pWF*a=)v)i9cDJ~y5;h;YGy&H_{JYf#|b0FzpyIXK@;!Fm&G6*bmE z`uY5)TY3AM>M+Nr*IJvb+I}%gDF>N_7cZ{=P>F_3IPMclgnAZ$q>@AP-&wdp?86JR<3vG)-0@uA6)5oJ4x4d;HR?4Ks<&Yi|_O}SgYag z3VQAem#@CHnD~6XQaHa)C7>YRBimC59Piw90~lNgG-ZW+|BS=~eW~R%QZre;nVQ@p zw}6-Ip4TnoPaf@jw>+PTx#X z4VyJBO&-OJvq`o`7r)~HT>m}gIJ-uX=r)wO>`>7vg5DPg45t$Yx*+RAL|3YNYZlri zV60uQ`Y;P0^UV_R4;MR=HPgUAQ*zF1qt-n>P^0`0rT`^>2de&(7q#$-AK$U*0*NS0gga`wOH3cKr%C#z(U>d$dt-WIj6I=-NA9_1~ ziZ~c8>c~5xRt;iIWpGkstZt=h|2VO-4o%cS0zD-Th#clH zd>x0f_!9#<_>>Q%j@n3mMPh#_%)eg_WW8Ka!ber%0K(mTfQM6DI5JlcWVPl1e=Kc8 zd?N5iF#O{@{Iv!)3V?hr!!JR%eSnC@l~ z#;(xj$T;CeYzJWH(AoU@$k9M%v#=YAk7AHt=fgQQ`#;?Zo0vv@xq}&Tw~!jHsAud> zR|<;80pJ6WYX}O6P6sCMaTiicx(da_$HiH@XLtbMuXS{ur%q0pm&0`1CY+YoDF^^m z!Qd=|s*%y)`kk76+O5?EzTlyXQis}svSpOymfH5cFW*YD^pPCh{vS&bGJQL^X5M0F zKEhJD%4WOJwc?W45k6qj`pCkyRR}EBy!<$PvluX5R;w3k$bs(zL_cnpd+wFVvub1f z4GqK&)#<=3<(r}|jg>!Cy!SAJa>&|Jxs6t|;G$)4BlxX9aVnzISu4U?BTaq)sCA?Z zl-S#NX}8XUT;Le8DlU`o0MDjkEqmLTitMMJh)(rL*v*sjwnV^9N6U{vfhiolWw`sE zMbet2A&a7pR2oA|CVrn#5`;Gg*T@hyqhIx%u|==Gp064OCZzNOgM$|$;=Ra&y9pZw zS-=dYaSMgED1q)%pBX_OZo|86`nyZgJ(>n?ogXE~=|sm~_j-oID=%8}nJA(xog{5$ zyRL6m@3{=soMQcsQsr}MGidslhuk!u?o%->GeBlU>Hgn2% zw#ESQ3+7qtuG(j&2w@Slq$`$Bqvu>Y-%&m_Z6V0gYtb;XM=7Z0x-$_xI&cp2u@LB! zvJ)SA{R1QEhdS(ZyYAqXOVl_xylTmw^%EHdu3%-c*uZ8@=Jn_JUINz;Fg({+-R)2Z z+XM9(d~$9BB7dvh$--(@TF2YB=sbOCu z#rE9%vbp9Qp3a@a;}aUWHGHnv23a!M1Cr{Y(5m&(>Z z2U(;H@sz9O1EUr(RT^wqmofcY7xl3@w{&_%;tlmz;?C$>i2Kcg7dq>CDl*{Wn=>bz z`!Lko?ex-pcE^FPdf%ZMrjK2M$nQ7>s`K3Rniajtx2XVr%FT3L0aNG<@#k+XtjU%w=AcS>n)Dk8oZstzmHi8IPdpb$dY-Iou& zDq{&;memf2qO$5`CU3JcmlhN~Fh6 zm`^v5z{a5JbvX~e2I{Gj9K4uL93xi5A`1U8X)Ur$?H;C)E`$eRc#I_$`%%Q z)dG94iQ+kVr7{D$R+?ID}O&004je8zxsxGlwV12Tt2}K)V)u8%960F-!mCi9*FCqU@YE6bz+-XCja zQ-({D85)Lc`3f4hnXn?fjGyL~Z=bg4 z4fOLTpQ5WEh10)^kpO-`cwfy=@fsLQ$dgMB(OT%2WUCXvnz%}zJqQ;em=lN+fYiTyZv+(BOXty zZfB_m4G&pYu@6uEdHusK4j2VP>fD;`Qf@q1Rjv%q#kdadg0JYC@p)j}n+Y0*KCRguaqh5|l1&ImBRQx>zr1qb!~?E$(V3fLszGh_Ng=sT z(Y_vI18KOL&FN_P;5oUCvvn7;;nh$mY&=s3LXPU;-~a?P42KzZc_B>Nr^veioSDe<-mnM~#8^q-v( z+x!OYC?L&bBif0E_8>SGhV@jcT`FM5p&^-XJ0^F3i^TkMj_2)D75JoZX9T#s zq*9MQjbo;%P zG~UeL+q5zAQj9Z&GG!%AcTrQlSufsvrOND4mc{ZKT!2R_cuOuh&3b3$l&5XH_?K9w$9k2tAc@i^&2^Sistjh>%DASLs{(gPMhbLdot&Y#eojB4{V7F+fUDc6M?SH|;~OD2TXilbkNucmZ+@R|5! zR+Z`m5Lmyp_*+1a3#WWDWIbsSa)pv3#lHm~)DAO%;7A$W8}Q^93shRAsP_pf%ZUfi zt>94~iibV2Ssu+P2xX|sa#zVKxlhRBwlbp<1ID3bcf0c07JBBQG{P+C{mkcD)dbG@ zMnRzsnama3x|hey-!p8@&$3cJ#7%|;mk^LW{=?9k%xYbTgKTTN5Qw&NVZmHk_Jo8% zK{t2M$5%NwR-oqw?W<0B6j_C1Ln&H#)?3u%>a zUIL0|E;}l01s9&XR=MJPiFD{B>N+SS$NIQhvc_IJ)ME~hP!IEP5~YbrCzDS4ss676 zDOKIBi$AWH=BrBy(9)9`oz;4|SwmRfuF>%ckpY^JuXhZ=btf9ZJ1a5@H9$i<>9{1G zH`)R&;c!Y3=Qh;-E>tah&VW-&wP4#k=c|3;O)m8yiSX+z7V|O@*vZ1ETv(CG_nB2z zO7~IpO~>{uAqE^L)V~FAW9LqQf(+q{0#A_d$*z{oPK(w_wV(obRh#{cJ3FgbHQ#euN|Jd@Zw0SbJ05L5BWO_sUnZz1 z5RzqTmP3&raSC1PV9n&uTh1V=jL*>bKBDOAi_7N9mmzHdJi8-J{wd5D{rj7ta+fFS z&D%9I2lUwq>N8lyP@FU-zlh$- ze2@QxHk5!OBemC^&|;Ki9cwI>yI7PYyLOeQkerEMH?ck5q#PY!lazBGy0OoNHRp!$ z4V=^4xH zm2phQEq6Sg@}VH$bB?Rk@z1yeZQ0&NW+ja~853Sy{sFm!Tsp`FBsNR@ZPD5KNa;Le zKHw8B&XZj(TTK&9D#*4Pau%#bKU1rA>iUX=tQiSbqfc^=nNMVDWZ(_O zc2_QMq9f||>~Yl4#pG1`DJX*_d}SpyNMI&uesW`jF`oK^=)-SZqSn)mjLhHUymgGP zGoNMW(KK|~=xp*YP`~yJaZ5ls`1AG8<8}V-Rr8o*Ppt+E*S*tyin6)8)07Ym9~gG_ zuksCP2wX=8y_S8TX;oju^Cj-Ck-hNku0W=4y`bR^!MXW!63wdB>4cnPxKFD1FJzQm z;QKXW%$g4hKg}Dco)A+Q=|`pDAFEd-M}`}!ZKvxgbSB)?vR?FX+5?q2QyBZB$SqG< zW`)D7N%waMaNEcZUGL-$?mH`Li`uc#=2u}%Uf2%Mo&c;jugp}r85;UM*=W46Ce+c( z(TcjfQXLUzj`iH=B=okDHUI^Ls|a4-#Y((+3B5glFf^E_neV7uAA_>pUbcN?0w!el zEv#H~f5oK1(Tu(}sF~hzA0ukYmTm)LB;hz!?kVAWJi%vT{V;bkc~J1In31paH$>U2 z?rp?Va&ZGM)jcKyKp;F~n-n=|Q6vn0pO?!A;|WFmsIBhp*!kcUAo?WS=xG40o03XE zZwb4uoRUaUxsY~D9dhmlm2~or-r`YbU&+Qb`qsLaQyXt;)zOdCMTSZBJCly_79^!% zm{T&G7cqBr7qFBp_yCIGC_*KFGUx0)ftJ#!CY#Kgg@i%M*FDK{mi*h}IU1So%TCRF zOYHtENF4!tNt2^nVj+CSmGcT3BC3Ni~n@lGdOjhrjf(V8ryQy$HjlXM=dF5b06pVfoByumPmW(ybLsbXoQ?^okt|I=4pz+UhOGiX081s;bT@0iuVP;*pDEKFflYz0g`^ zkbiHsa%B=r&wO(Ui1c~-649jY#n!Xu#T{2>I@tQ9#tTQHp(3&UsTpJm&-!6eNhYz7 zO4d6P{T~nS-LbKgzCc!CC(rc@9Uj3tlBb}tl>MvdzO-6;akT@eAzh$4SQ-U{`Th_m zC{s?<2#29+u12WN; z884Fx!s0Xx!j#HAuhK7Mnx<^eJUAhIodK=0yW;Btk-EU&si-Fh_xFtx9y+Ry z9?n+F%$JP8Z=5y1423I@y6fcZOQ<^%bC636AE?H95}sd^R9aW}#U1OD%*^qsdyDft zc2huG^E7NQow-zRJXKl*&}L?txf=jtu}?*m58@=f$kxB{@bX3-qx!A~h)eyvRe}Z~cXS5ZL>&tQC+W#qjM#>R#=5&x6B{e298ZY`?;wuz5^l`7SItDx?+Q6R-_i#Q ztPjZ%RlazPBKPDG{wU{b$oZ#!{(7TvU^_i(yOS+ful?MBJ68Gvx9(V*G9gvfK- zv@S=VQPRC;hKl5CMXzv8)*&TKV&@` z`eMLdLQi(eoGkWU3pvg8u8$|;yVZzE%;!K;KsAOdyv@K@sA(QE|19x*cR6hu&%vqJZb+I9jU1{6#giB; za%N~}uJ5nSLLKYUK;Jh2pibjtZtmZBN;k-f z1!-2grQU^#;*0WLOXLGiOV{K)$IEHIiGZBYK|Es1Ci$f+Nv#D7e1Zk*hKB|@Hybd> zLmW-ce*S7jTX8s$eV|}7L&_YxxDSb9bfolIudd|iu zJEdqmTzq?sxVvgovbtF^je&|}GDD%IjC7R7bc@u8GT5#1c$RTJZ=Jg`-eZMks*A7s zB-6}Ip{O>XhN0O88rsEDzUMWIf2dxS0p-3BQ(mh~shsld*?mi}P{}7B71FTsa-Ar0 z@unaGdRcBfA4n?8c$Q<3M~Cj7g;X3V&&=n#_%L=n z8_u3_niOK%o2@z82aE-Qd4i@Ke8CStkc>DAC6(dNqfc+$PXKR&zTC zfIi1>{ds16TuHY9mGMwm3895vte$*KyH{}lYHYFTJ)d|uraywq7MZEr+SMbCj0_h7 zt-JV5N9a2{U5J_!x7QxE&~tT5ha+HH1@CLs#MO*DVwU2u?XmNxC;$wW!Fna>u66wu zORS8fP!|E)o2j~XLVG86mHLMv$fYDPN=Q9C+jBoB%}B6B7-(z)aaFl9X4zj|6aWvr$Z(YR~#h`q7VuF+p!YDUVdV-aY2I zh(6tK{{9l>IWH&QTbV_1KJh?pxsmg|$L*>?l>o%o-j~)x2E8u)yjHlod6rzCUTik1 zr(UnUfR9rrr}8c)jCDZl0#dZVDS4f4(o=kmQ?&Z2%16l`y#NG)KT)g?_ETg+DJfURG)N zt$96&WqE3(+i1^x4K!Q3fBw4QUSu~|b4%QAl2E_*^FBc{)j@@`@+;QA4(`H9k{yAS z;WIPEuH@t)Jzg`@(s1sjH}pS{vx7L9?H2HplrLIm{u4BN#~J{+cWjkh%wb~p0703o zIF?+9t+*rik8IjsztTGoq(QHnQu!X8iWK1mg0}U>i^qQi=D$D2{xOgYh)59mPeZSN zJ^^^Sw@C+!!^t0(>_>UpUt~022MEyfnZEsN=JhYw=ipf(>wqp3v1vQ^E73onz!q^( z?{Oxo?l8jq?J-gv2UlzV&j`QyDK74*-1ooVzVL>`%uICrvE7s39s|_Taw(f)?wvHWM2bifzZ}$*m|(nV%&6{KSSjSpAM}8|h&+%dg7{@d9XHMb+JA-ocV+vx(){;qA0aIN->S5mpS*Yk zoN^o?Wdk7r#vta%)Y9%aWRGP-Sr*ExFW;DyFCd4gW4O5?WPAzZc@K?pC*WAxB%GT> zUj+BB=Iir$ehs{C%-Pq7>W00)-qym1`a+y=EJ(B_Y9jbJ^=`kEP(4zSzbXbawett# zx_z=BA%bDxz!otI)AMy9=ehAy4P)elE|t&_B4$8|M=Pf2=1Zg#OPA%+cSn}(4+Ht? zOzQ&b!0x#AjY@1m4d#xk|oGXYLUqFQCyZ9Q|T58+U{AI9HQ@Szi?in%atoZ5L zK}QyxQWS+sx7GJyeu9H@S++wBhqnpa*PnNteky$_#e=(?Z|0nr3QTAVNIAPKCsQ2D zmpKd82g|DMg9hMyFW0Gt_}b?dzeByPxddA4Z%EkJOjWJ>l)8V+E@-hLBvSAvr^+@2 zRu}Ze8Gq1B9e5Wo>x_ypM(Rdc*+y$P6SB3hyoBZP&?uZ0hLsGaBDYXlSg!{!yC<+^ zI?#!(Y@9Vy>zBit_+Q-!w)BHEla4FP)@Zs>*`oeHRvtJob}A}{XkFxJ#8th!wCu>T zSSuGk5oN+}QdR1}m9g81J_~vNX&`{--GVZ2(MWSuyFR{mp-s^ERL@A^EPj@|EBpEN z0@mI~`dMRSNXm+onrA#ZM8L!M$Z+dKY#!8+Br4^V+S( zP{5B?RE?mzIcrn#dH!j^4ul>2GCvE>q;d7KZBz8rW~`-3P#2$plCxFsgP*>}&rfV7 z2fNbi0^8D0wk%V>h4pEZF>ck2&UQj@6L)!wSQH}cPLO1lmZriujLH=3y^~2)aOFEn zDI(x2Lc$^VHu)Gvh`3FuHsZ~MRr?v%0{Fac503I)y+EqLaz{3d!bp8HE6Q4xp+0Tr zsQ!${yoZ63f;NT4KR%+-K^Zwsp!lZR78xGpg=JYC>K3n@O``>;ER8fgy64espYv_e zZvyI?3aGE4V|@KQc)e~)t)4>j#+U~zuP*Yw%z>S`_ti4SLXq{83=bRklKB@Xm#yzj zdb`9qp6eJ27Y^p@BT9tS-6K8U>W>F4;qELwW<^Nb6>wr6Ek<*O)7`V?@&#G78l;oL z?|S7d*LIkWMV4q>Vbo`^rGFGrma86YdP_rib54`-4OHoysoMyS1^R3VEo`MOB-mbc zG}qGru3MYi)a9u;JoBEWWHqW>wYCnqf?f&)pvH~n&Q1}g?ud%8JF)0bAGdY`jF*G> zEL7Q@cWu(5=pB|nPorPz3c#OhbX;<&gyBTSzy(N)NQ8@k3@fpP^4;V|rNcXizly)1 z9B?+5PUEtLr(u%m+DK5BRS?T1WY&CDfk$RwP=_=hU`AxC2^p^`qdUAsK6bK_h=){^aH7G-pw%s7nmE{d{i%swDvDG z-UgSPn?ih));Ub~{ieP}fkH|LxeRtUdB2!C_LLzgS)Ov<`sKWRao=`crfsjyr4thG z%@-%O3$9#=9XWSe;r_$>4^KXn$;!~u7v1!<(p+#~M1lxYgDUWTngwK%&*`fiY{-aj z(vO!3aagV}OO7)O#wIRa*!9QxqM|^NfQ#UjU5EGU8FPIjHv+SAdIX0tA_l5_f%_4u zmB~uWSc*GDc-0vpFTNVA&E?WpAvXKpxC%15G#!v#{bwDPjcOIS8;n=4UfQhG)D5L= zzq4Pr2m!A!{qE5Hb)>wp3zrTphgWz z;<7Jz)fk2brKQit;3~1%Vd7nR0h;H_-_u1Ma~yFW6=9mw*N(*=C2`&i8CQ5HHq0{M zl_XZt0UH9|6GWWAc(QgRs8x2|sUVWC`_}c;j%27om4PxOH?s}{R?sP+mO&Ocyjg}3cQmYM2MpaUsb;k7SRsN&e$B_H zwI~INj~Hidq_w%%+dYyRZoFOu`aRfBuf&wsyg@`>UA>{fYC31H;ktDRXaf$!(;Fl* ze)<6x3%iAsKrS3XdOb}Oa*Ypl_xHX!?~H-y$+VK7Ckli|G*dvNrLs>pw)Sfv#&(rd zOG)&q4JV`DPkZ?DlawPljjJpcf`$J2qeC_P?h){UcNN)sbVtTtowuaMm}0kLVTUDo zzn*O1)u+X-trgj;9L4<857Pm4<2d4y^Rtn`;d_D5_8p*p1Dl6hWd5$c__^kTPc*Rr zv7K(CrRGP*jaQ!mf#LssqP_dyRY1uqGTL>E`Nsx?=?{pPswTBRp?{73_aHduylH1v zDQu8-p|Rc_Ibs;^i$8KB0fNZRtys2lU0JoHF;_h3?DX*UYq>vodOhBUJX4zqFKG;Q z5Wjx?Y7nzbbNl$+U-uE{Y)=>oasU79N6-C)Lba5XPgS94@AshJ{`&Yy z>6_I_GFR%cJxA_48;usg)N1!GXYgw^rRzT!Dy2+Xp??m( zqoy+#etum=?-@r!L+YlTvXcDN-+w}*L4xTX^j8O)WhntBhpzc-=$W=N%VH&1W%c;b1(N8pS}5#Im)lfRyQQV)3GSc=+_K=3h=L?H8UHe3vQ zB>sKO`!xW7lf`@@{~xA74KNLfe_|_sQ2M(vr?CaJ^y{!^zokNc>gzX8fR(AO#T*%f z0@fDjoWW%KjN^Z_dQ=9y`nONw)_-?Oek=rVSpaLR_{8tW7yq>~4q#=qki>e6oYykm&$CqO)dGrs{?;w}9ow9DE`({o zyM21seE+5(K~s~#>iiD&54gwk4i(+biP3mf&&t6~oR<|&Fw~C)=4si18-4m}@JXns z#MYDhj~f=nj&d?G;-xJ2oK0*_LK$7bpC75D=30Nf7m8-mANV|-4%ysR)JzeqmDiUc)Uan~wx*(2KiVGacT zVklNeH|?F6!+Utnki^=P%F>ROscLbtyXL&1Uq8qwE^yvOX>s%SX+di&lUu;+Kd*xR z^mY?+01c=&S}Yp8CNIh!Db-!&XrAhw&RZg8#hO>M=rZlG1(^!};O}ZF zJkZ!PlxpOrj3?N`Ded>>%}jiHpT7OP?0{mgTyIm{8n`%|yemMQa6PQ-`YGFN%3gqk z;iK&yQj(n7*l70ieHa(B5PqT@JUM24)j=NB;NrE_f~XVky83vsb6LhXQu$le#k>eP zsv*!Mv>2I|p3Foh*-BLB3-ll?G1E~kFNQuPBj{K4cr2oOuR(?acCCFng5`6gBC%kr zmKSh&gK4msdx+eNVx^Il>b%N?HM#Y{bxGGLv2KfvmAJ~iN`tFwUBUXL!*9|bl)rQ3 zmF7tk4d5mIVV`n_k1_fiU(-fHPxX4%-a{&(x>5^{J%!*F z@W-6(Igr8j+rla*?`7dwlmqk(KZ5@;oyazS@P_%d^WCG@COkKv{5gBY{XG+N)yT$$ zy>D-_=i4;72On%?M^;Y6(BQ22K7srjEVQks2Yc4qJ>WYl;u5Vr$#os_Rs{_Ut z%6T@DDNdN(;$Sc{_EGQjumd-i7$P;Ni&r1Ljht}E9JSrl;?qp)7}s`-CazN&=X6lD zbHpj3RQr;UPm80j?8HZoq?fI9-lT0YA1FsQzu@zTKdK+@-@!~-Wl_KEP?Phi#MDLk zkW5%Q5i1H`7`ZR6q!6q}Ow{Dpk`ILKylHR0D%md2HrJNDgBF8>s5R*E15kFT+UXZs*uw)iEDYp$!r5n8zc6L`I{r;Dy_s zpqR(;#6o$?Z=$(jHcESg!!a(ZMg65Rgw)8Lr(n0qGX+o&8f)L>6ptf7ha^2V!79V1 zam7z8X!o7R0cd|?#AUi#M)CVvSM|WQ`X0(M{*JV+o@@TgNP*mFIsBr=Y7$HIOLBQ- zsL>`fUzO40h6&zF-$VTYj4j*GCVo&NIGU%c`%RRev6JH^=FwWXP&&`UPoe5KQ%XGC zH66d@naT9oK(}+9a{1PuCLKa{Z<#b~I_xGAFT0JLh4tyj^G33%!{KH=&Byq-_JblT z2S4)Ftq{J@PdUZ2b#N)`cDo%B&c1W??tioW{=RCxf!!wqLz*?kAziySXO6|L;iN~u z%i#6ukpBmJ-yI0`|HogFG>lJ*BD*NF>`h6OSwz-J_TI!9Nhr$Ro9uCyJr1WN`)r3Z zl5y5KoV&}s-`nT=`F${Z@q8k+9)w{ zkIu@oG-W3Z4xZBvFxSCg)n)G}A_RMB@iIehkGco^WG($Q_xk-C=F7tH32=@<)T`)` zczHdY+7WS@0=H(%`z$*)(a?1_3ZK%CHkN@oo7zoV-vqhTWc&4$6ZCbKE8&gjS-C6F z1Un=PRH|TE&T`E6;~~o;zBD7X?4Lx_qH+2&1?MqTQG&D9le6|B;doyeWphAC&nG?Z z6#WWYR*7^Ml@+O0p4U9v=t?R8EkDgLdG@joRMsu%^*O`xR`xoFSAdb+uyk#I?UJUM zFvF68Fpaf`64=Rh*(@Z2)$R_06&>ztM=xVgl`V6<+F^5bb6NTmvEDd#>tMf@w9JQH zhY!dQp{-Krqm zZ{YERyN1`Qvg%s6W>FU{E^C*w{nJLa+)LruPm0!vU*G-Y6bad z*a8e3Uk+w=DYlHF6qQJZ1I_iz*KFwNrJCR!jKZ%#;RxmiN!Y%Gv1oJt);oREriMqc z(QeJ!gg+#S9#G~4xi5T!^Cl3M^=Po%W*4gR?nKJtRpH(Tn05jVAiZ2tnw}qe2n6L$ zma3ZE53IEx;51$mJOaaLS_oU##`L(a>K z)i(v&OMAH-mfTnQcn8FK;6S(~ZG%-U*l&1bK1&f@Np!2x+24gM=Z#O3m$o+OPOb+u z#~Uhb8&D*BJ{FJ{pu0TLCY~0sXd8V{(`T|e+r=T);2y%l^>5GUXRG`npouSAh&Mmsj?VqbkoplRpv?wM#Xo$^>>Bt& zs*qP(J^#gc4^#mfO1ymq>k$3dSG;%u#FggX{dnguKmEZ8tl-xF%@jb|TSrU#znWV3 z2PZAlExk{{K-8?7tT#2UE1^t(r1{Iee{PO#5P%zTVj|W*82C#>X~9}z7M82AEhUhPPgP)cPU@|q zY616=Ey99=&{>VHsz&!lb>xj!LpHop;J{wr6&p$j-{&zu|%1k}J@^b8Di zKBJNEn*O2=wlgP1)`n+NFEP^vi)X6-rJ({p0QYe&9Ccy;-imW6u$&t=Zv4TVq4Xmk zR>+eD=U&FD?t)_v5AXi?y))2ruwZZfeuu&QtBhSyVc{Wy5v9JF#NU&yzH%JL3>3jx zcSz0iIg0~7nHcgw{7(KH%PzUQK=JqQ&pQza%h%FQXZ||T*FMLYKSAIO%UI=}@ymFp zQ^)?=HrqM!Cwa2x93NdzDTMd8x3!J8xS?tsVxpp+26WOW8A|*O9iu%H`0^!LXJ239 z*w_=B!Q3~WKlkggT_6U!{q2q70YWQ7f}_Drm2`R_vAk3T9=fwvy7lRLO(BJck4@YAO|oxQymp-8*h zWdcx%GR{IHRS@s5_1}9tUVC;4E42I2z`!=3eIQF)e%tFZm6W!&HU=x<2&bM1{hQyk zfPtZv#itEzf$pHfw{8viTYoPi-Eh96bf`U~SxzB+0!`F%>* z;Gg2^Pudj)5~ZWZS}p&{6h|tF61ecb4VV?g#s%abXg6_3@y`R9yryMj^bJBW!1(iH zuNjZi^M|DvGS{8$9gDd(F6nI<>^al57Fd#;^5W^Zt-nb?ANFaRm z7rXW55lIK7&gXMEc6G$1HTvGae?Q^XcL{*u9Bn}z6EV$>vF@67tQ9!7XTX_28|Ul6ds3wQk(9%mHosY`aSd=dVK@&~a9+EVU9o;++)Pc(qc|x%VUwTq z&DcfYE5-wJPkz3_AGhHg4+x18$5Zcq$c-QW3Ah;laZ+U?{yn;NTn~sLHLQ5{U;6jA z|M)l=TUH4Jvg&0yAasF-{)ZVAI`^@;jxYQq81UW&JwmXrNhI*W;~mw8>~gfJ9?bY%C|M-+ocOU~;vX*HHdB zSZ1@+%ZK@D2TF$-;_{aspQ_e4U`g4SzN+6~@2%BG=MYb`#50(uK2p+5B9BZ9$SPPl z>u-2?Ym!s%ih)b!y~Wz%P>t=5`1qPV<}ZH&YyX=Uwmud(Mj>&kK!MGij2D#+LT8P>Hele7|*r zho=ISDsn$QV9NDnr(bs@?wNb##``?H`+89y0f#hg>BEQ2+V5kFSXIG z-)Bu!>C2GiSwoY|gHKOpcw3g5+fUnzdo54ihrrhv0fyV0DeIcs-uBqaEbr@1skU2a zup`|7V;u%>>Ub-9`lHac3Fb-D3Mf=O+1mbNi*9hN8psDm$d{d)z+v4wLHz{HkxzuQ1K z<4co(Rhmoj+Bi(FY{Z&r8-1@mg4uQonhomd>Z%a%_Vykuvolak7t86RvpYO}$?diB zv!2>nKNIh3t@{$pV{M%G-zhcJUbz2;L9)iA4Lbn1+j%WSPJIe@5&8Dov&>bY?N?U8 zgZ1^V{XetLO4kgpZGT20GX7BSYWpb(2FP+UP2}Vm#`EU_mxcX>P4&!}jI0lEYJCuI z979JG`zi7{cMk}l_SC$;4+M0F;F;8%lZ+N5FjGJiZyHt7;eq+~(vT9kU3T-c@Yd(p zzOEpeNi!ncu}5ABEWDdoJL9b>W?{cIqcgiHO!C$kEi(~BM${V^)L666&G;G~9(*3! z+6W@vAIg8MSU5RpTXrt{*%%%FJPdEqZ71smCFn;~UyBhKb!#oaFiW?^vQ{+{) zC(MXhX)2^+kDmGHV8>xzW%yOF0$AI236s#Gt@tfKepjn{rl1;hPH^-Ph!7ulMyIa*>j)|0vr^wc0z*sHLEImWqClh$>hsm69IJBr-R+oI*(pQU-@(CYtMJn$bj%&tsr~^4hz(ISUiI zN0|ZB;}){7t@g!+s0TE}wJF`#2kZHKYfq(WG8(|2`7j^uAnjqxpXu&N3O?R@d>~So zv9rfFv{(CN7gJeV-#l>M2~oDdU{=x;QeD=YA{skjmEri(ZHCw)-)`jO6UK54o-D>M zEc+T&ZO7ftBK?T^rff!f4rnHY1~X718=#zOhw0C5!d2i)mpuv`DlHFgNOJLECq&f+ z>X&@!EK}EAQQ_1hBrHzw{+E39!6I$$`mL_+u4ZmL*t2|jz-PjS8`Wf2IpR0tO_UvA zU-7Q@u7RiuG%HNhI_Y`NZ2N7uF__$c_9#cjd1fldw3t8`@w1fz!E4v+vA4m8n{zWl zO)m0LRvA8%jjZtMp)1xjBTn$WkBxmHPYjt^NX^UTB^fZx=)(wMS?yD6s2LV01+;lr zK3UcZl3v5nJ4xymgb(}6uTuNSM@ZPeT8@`79!)0t)H)jX647m26RS=gll1|r6+31f zMFna0a7}m8UJvW-Lu~GxL!T8!Ha#uPKFw{uPu@z^-oAACqV%H(sV&N>5qc_z0*!R8 z-6nbGul|HcUM6wJ7`sF7yh_#K0OJb8_Ey?byf)ySmuNQ%)rBex$SIiL59tWw=a9PV z_YJ$yBrKk!FRL*=!%0Fji99_xbW6E>c-R0$e%T`5F5TFIYBp62tPuyTBh6Fc_l<>` z_rDjOI`wmOg5vy5c$YRUWqQj6T&4>qe(3^pbIEMqJ-QIVSz#OWr& zht@`5R*bHLw)@zwya23@@6tf};rBT~8)S{cyC$9)ktQyOo3<~LR=Ny?KO3o9(FsW^ zDGJHn3;GKDhHlYDVg6NmL!_Ip2QEy?<8A#S51kzKACVCk%XApU9r?^M{RRo2hZC!) z_LBNFLZwL-F9-9uBzz8o6V>}^wdr+{dCZKq7a15HOQa&&ij)*H8bENmFq;nat8&4n z?Xb1lnP#!qLr+&`l@A?G$ogq6SDj$Ip6)T4?7DIL)Wk7F@_X$QL**pDkDzXSt8{k$ z6!F^Z>Hto>2j-3M=ULAAS96i^H1fN-qdUs@J)kjB08nzr`V0uSLr1OD`;7U0G(k5V zFilp1_20I-?LQE=E6utWdxz^)@q1j7*V?Lx=iX?(79SPtjLB2QY%(U;CQZDz@{+_1 z$67R<{>JM2{UNGV*K2HG)yFYCz=#)K)yHxqvPtjz1ZY3 z{7`u!>if8rp92!9S7v}Yn@U`Bh%D;WRcsf8?|!-THZEMfzlf+%VAua`vi9_%(L^fh zbhPM(r%&XlyRSCxAd9^`;eg0$-Rj_1I;0GA=leqOx;=TBa$7XLX4b_G@dziUrAftx z2l1IS-=VoB4?E-rIN5Z4)rDY|SKn-vaRBvGmtQ`3-uG(g1jTl(gORxp{S44W-g6p- zL&zFF(tgz2*Wg0%Svy=r>w!ScvY->oo$`lQcNTY+x!4>>it|pt;7(|QU~e-g%(Sar z%XS#rc+zTbWqZc(eq4a9r4*8N62%Gj-0nydU7Y!2hz{3?87Cpn-la%|-@rKe8+ke| zm$TkDE%)K{P?PHyUJ#R|WwL^HD*_xr?C?hgR85Nyax%VLiG)ALSuK=XJvaA)XS{!i zKrH+ejp=72+upFJwbXbNt6+!Abf;pkA{yVh^YZe8#$jr2P=k5$lCw2tr_eN?a22rc zj1DthKh$nE{=7iAFkRY{j?J>6xY0O;T#DLG%>6PRMq~B@uD<^nii- zyVXl}gEOS~^Z?)H(_W6SIRRmFQgX!uNaHu5y^MY;51UYG?F>twE@rWBS}0x}28+QL z55hxaChT;(BOoT=QH<##Vp~v|#k(%eb?d(85Xf)0qpWtyhHOb*y|3e7VXIr9oV|hW zjGZ-fh|9VoFFS=gym?`f$^HYl^8Y zya9vQ*dn-ECDt4BM~RZ6Te_vf3HZfsy$Of*Bv9I}>`<)}>rl7H8<8-6(nF}MHpzQr zf#8?pmJ0$Or~_@uXH#TBtU``fiyQ@Q2eG`WYNS5ho zJNNJz)`C5FCb6;I?V-*u1NEauL(&gh4G)@!GvWjKaQK#CNr&oMYlj-uM1jg0PHNfD z1jk`{j?!C1qgB_gokc1433C1hV}3v~)2-oBA~bKZZ$y0zvhN?Ow4%A}+rkEe~L)mT!=mCC#bhRQ0B2j%+b)y_FRFYN9RtZ5(01-F9I-pv}(y?sVO(^ z?6x@010+?qzw_3@Qe~G=lrD(dgAL$Y{q{zroe6fP?+GOMH!sOG6bUn4nA^D5I zRD;T=dku!2@01u51I{L7M*ZD9`zUNdD{|cbBn>0~MWm7fiB5i;oTWtV=E%^wi=$7k z$~Bjl8dY}*@a49Kd$?rNbH$|+R^9iWo6vn)su9RX=R=lC^T0$%O)YxbZ!aO;6Q3d~ zcFt9dPrM1Ue?rR&hJxF&?I$e97qCZD7nDKX2COnm^F5Ec{KZ&%;H$c-zki^$plZPd z`U?+mmLo)w5wkOA)fl+o-%2ym}V-)v2sE6OS_q*fxPvGG49}AQKZ4t@<9K@Y301_qkb2W?#AsJT3qj zG2QDic+=)7Fn&`RRpK^MEb1AdO*NRN^+eIu_<6@=M~H{DvBuXTtQ$Y$H|f049l8GL zvXP5^G0E+2f?iViaEd~nI|-4JITnCPfc?b*>t zpd4`)9(`5ehDPujDyYKS0sDp6AmHqd7e#jaTkf7p|CAM3KZB@VzVAc0E}uwvHY%U7 zX5$05Ey6taW7W~KkF>^tT)V1Ftj35VZhi21`xyR3|DFutb~(+}!8StJ!CIvt25gpa znv*vXVm#C(mY1KeqKXS;IgrfDv#HD{l+?f)21WVH)_goBjx}X6i8)pcUA4wOv?>>q z)kQ(DN(Fkp9(W~GO>%eB*7HDR>ZvJlFRM587#hF1`1$8E#87Gn6}kBxg|1%rN9u>%6$dZp7R#F)NXyvdq?0w|nx(sitFMW7qme z#mWp(3U@+RY_r}Ue@hs%Mb*5MedaZUdY~AN1hG1yFAS3!y;f5!O@>H4G)#-BumQ)L zneIxSnAycRQLbYnl2oll)+*a|`Z_9l67u*sQc2BnxLV|=la@<_5xrd>%wt&Wc;W5z z1a(WsW86`08AMzvdU(C+AeMSHLkiD8QqM2Q6@2QpQnK-kIdh5D5z|(1_LFs=5tY?C z94oNg-`rGoJE*}<-KnZijRr&|vpPs^EP9xI3L7uUMLA4-L$So@XbVsiJC=ZtvxE6# z?prCAKj3|C7d3D4jHzv6+GnC<>q{!hVy1)Q z6J4ee3I?re%4?PfW)N!J!`cNUMu~wGov`E=2CBvpUMnumQnzz)lc!1P z;B3^0YLFHGgtRuAFr4{#cX|{n?FZdsAiWq302{N|sjQi#5hRHcPJ4T8ppR+YIn*H6xzVBkA&p>Q*pw>VJxOAz8<$a&(% z#ED1Y)YYE!gaJ^uM%~gH+80ydm(7FGUzv3B%e1STsj{I%B}m|u$(cFISSQv`^?;XX zgr`2~}xBhkNK^ELC9J{0mh@k^9aqzSNN%;m~3T z1f=HLGet&f_ldIiR9D?Il#G}4TdzY?i6g{O-?Wn1@^hq8K4A~p+W;~?Zf(%9cxVL1*MQD+u3Q&}Te@y#9yHE0K> zf;a@R`9WmQM#_At?|{?9ljX6cw*Tlh^(q8+dyy*eX5oQ zwlfrnQZQV#edcq)cHnUZ6h2EY9OqTy2NeD=8f5woo_5_LrCWPVSvk!(uLq<$KMImh z_tIuS3@8<(d5!?C55y+&oS3{#YjU7}H3%x2 zXl~E+oe0U1GO8OVu(wM=^9f%@+-zyFaqO1UcbUKKca=a5ov2{`sXH)SMLO$aa98v0 z1d~|Yuu?+RVM>_5%{R3$f(~Gl{ktRMtIx2RebBq)08D*Fm(~~8>_}D zSS9Fo6KTTG04^SKPOfFW;P#5w4CyJFW#rgatfqV|P7WdF_8icE9#p{0GxbW3l`~tr z{@z>5q>fWxas`H1m%v7?i-^VDsjXEo1!x1?AcZhhD5MxdJgA-VPqgdlTBYOmv(C5NP~XW4f4BVd zw$%Os;N?S%l=?GFoIlnRra}0=)wN=r*Nh*$DL*UyCK-?ar*l@ww%2Kqz4@n>bcN|c za7OS$i5Xr&(tP#Viwnsgw8MA6Au^5;BhHomJ+nK5I?%VGO_ClRdosd)7-QC*2pp#O z7nFcC<#C_qVy}eIg^v}$Seurp=<;zyYk~CYWCkOPwV*u4IA4k3`e25=@)egPV|^o5 z>5s1nOZ#g$=o;Cz2|69Hu#Lq01>=?u`C}e6F#PHRx(sWT93?$IqM%o*X`@D;LOM(v zeR_CyI6fQ^UWnTnZws!07qY*n5N;5vqoGAb zzbIs71g)31uRnSkGH5qoI>fl{|9!Jy3)iRZ@YQ|n^{nSZCiE3?Bk?aGX_}YK_)oEl z^z0vJYi~43m*w$q+T68UC@RRTCf+p}z|vrjm&(e7vbuga&6qfG(ra6k>X^so)q@P@ zF7{J2m1ifcBUMDD{D;duPx|;7gH`Ql+G>0D9zaJVL3)Ky0K%Et=9%GRX+M4?i;;2K zxwZP@B5n0W$;^Go!vc;a$B81MLAcbYWl57%rWo3FT6iT3yD;_y*Jp4|#%fczfLJ(c zvbwp5f7s5B?S9HozZ9qxgJqZ#b$*Tv65$t`i*Z^3) z{^0IzXrm_HHJvV1R*@nVVU7nlTyAA5F`G)WU=%zDfWaU-zq4csd$iqE^ zWe=`9bc@mUODZU5Lb1}dXgR5C53}SAgbbEHrkJc6l~h+Nt|C_lH;lmfQnQ*1I9;!U ziTB$HhS(@n@6A0&K&rDNqBfLSnrA{<87ZY@4G&iNfCP)IQ%U8(fx8M=H-TlDWgQXU^;ST;wXePk)^4qi8)@3DMF~AN@jwj_Zn)-T6#2B zwp~lR@kX9IBd$Fi@8|2xly%4alxrsD^!pOi(u`&$NZd32#2_jc6JJyN_|-DZbB|#f zrkq{9C%tCrFYhQKyY|*QDpHEcDwcV1IA=r4e5xHh%c_Sh0A;)Ey{UvgHGc(PWUfcT z6s;Q-z#CWL%`)ye?dO!mWxuH_6lE{4E@IUxd)reSK$6W+>+B=lJrU7JE_nvz+ET4uuBT)w48CvKozCUt) zlo<*){UfPBc6Lz7z8+;(^y~Fk%6resdcFZ%B7xTdj`HFrh zT_<6A&0cvW!FPl>=JKnG=95s+xO^`sC-{w#XpcA&U237h|I<+eIoGF0B?E>@yC(#+ zw2yrwr#ng>e!K?^2FKJ_TUjq06Z!fs=hFv<{vA-Cs9UQPma{2qw9Ifk8-JtoF}ONp z?j$MmG6<@DzOH=f0)_F=;LAagbOQyfg-HCtsdX!#x!OwJvDLno+m@TP$M*=8xG(o& z6&;WbgM3`ulRD8w;Z2rjPDOLW#c+-(?CZ=uDUWY(eSRw}E2qBba435NYLT7%2iwf{ zimzF|lYgJd_7hIMFd_4oy9aqmS-Z0+szlND}TYtIxw&{{=R${2 z0H3OwwULY2v5e$^h@AYpL)G_s)fevkNaerep;aOoQx=;I>tv)QvFVT3$0V9u-`;+k zf(X|4!2fYMuEUvNfM3 zy-#jXZO@Ux&jNsaq8(5VPRkxR&H^AO|Gwu(1uu7N71Y$;V#ddF^oy@v`*P~aT;pw) zdK@P-E{>wnR_}3Plk~sC8p_e0feF3ZO7edt=UzR?QdW(IDSOY4m^4+`H{CVbD7sxh zSR4MJ4UPW+hXJCuES?4dp$wep|ovt< zd>8vf*Q{Rf-x{i4_i+~xgZ^@XXvpNye6F!%irEiJ{2MI=kP}-JS^4JXTU(l|*FAp9 zlmGNCg(dQ5OrmF|IwgOJ1O2pfT9xAsUKEdF8-9NAk7N{EE|Ae>UqH|Q`)L4A14nK9 zh~eLl`qj~(m)!ldf2*AVzCm_WhOVOir^s(#fJPTawu~FvA`x;^hNlUCzsyE{#99jIILf=REg|@8LS{Z0`(m;ti#^w) z-l>M?Rn@JNwVecY_FgZ;zqo{pEmeSQ4%) z(x}CaJ@I)FvZns=&F{2ptpL21;`5>o<=u*wm^P)YaqjW0Hkf2gHRS4iV)5+~e_t^H z!x)1v9k<)LIy)ZT7=#A+cA)N^_<75J$`!Wfz`j3L=2?<+fY^9pI$TYu*D^J`qN@W= z!MV|hmn%`<1wq25r8`R>tkSOdJ*r4^w=K@i|KNy1q_|%BUC=lJ1n<6@o^4E7_vC4~ zzRuE=xbVV(i@tQ4$&f>0_Q$pE0H^p(O{=cif@|G745IP6J;dc2)LroJ>l(8GHkh72 zr$C;g$!6yErg6t7-}k#~!iAK_BdzuGRta70f|i|$PFCH~1qB_FXz}OV-YcMt6<4Veio@MdeHE}jgKvHDBr!nO0i=5&)89d88 zziYx2`TL2#z6UJGx^dM=m<&&wbc<6HA;oTd2;QR~aK8CS)fA%lMZQKIA>~-6mL9`U zl-T(XX+*n8cFrd9`%weP4{l^kqlq1Kk@g8Uu;_K8lcqkyyGm`YxN)ZWme?5c9(Dd) zQ5-mAIX!p$H+ee1qd?PV-Gnm|C#$C1mypy$2+K0R=U?0A-tm3}N%I&s*deT5A@$1q z6FHj*7}E{=6azBkjE}N%@2<%tco|hatPqbEn=dliAXF~^?x1?zTSV&| z+hRB;yik7Y@}sV*ID9j|RQvLfxI@iZnUTGx)V~_e05Jz z$u5J~8`geC8i+283-YJYx?&GZjC&43Ji)-gTF%L<~vet1aS{{ICUriL9|3zaTZFmK! zanNVwCn&M0og75ccfVtBi28J;!INT@e&qp?)LB_;CiS(kR}Yrig7;p$PZoo~hqDYP4O z&lfxSE1vQwmK~_P+;!gEzO#d^v7HdVqoqoS&Z#bY}RzgErdv3NK}w z?kBo@t4tQ!*_#ZJ<46CqP8!%@C+b)r<;AfN&3D&XTf^3}>zW!|_gZVsJM!OIivBd| z{J+;BQV3WKL9T8>{}!YN_MdqR_D;RfDqXN=bFh2JK|Gl7n;~`gs430oX#)Yi3Gy08-gv?3u85j$>eSVPc|6~EMYV|i zgsS2{wxS2zsdJNC6;t2?vN;nJ*U9AV_0rGZQVN3gLEc_6LsWH(A^o(!&;igA>Ei2m zW4v>pXkT*#maaY8Sps^dPbClX+zW|Ni#b7aKMs*TmupdSFD4TmPsOBazPK%uy#E-& zmjSvo>g6%WtM9rfseV;79xfV;f0w)Yo6LX!8+XTJvRx>L)t?T+^kZrzWkOZkxt`C@ z2jq51GKj>-&4=B78q3AuFd-HL465WqryvW|yJM|bCOJwhL(x3j-i8krg5K!661>${ zJKlWr+1U6_@a>P=1hwx6nZj>O9KTx|0CrS{=J&dX66|Eqe@AAuBf zNn6?(zzBMHTNpyPb*S3hGNCKh%bwmzwgSGReP%vgymD<*F(l>U6!A1XdsZJ%pou11 zYoZ(f>G=IKga6$iD(m*i{KG5$+4>JkE?xd$lH-vg!ro1-2Nj$^^;tdWB&2zLAGnW~ zoxHfGxp!mcBIcid_}vs>fw@x;A>75}mIvqkv&UKX+Em})YesG3YNZ**EK^uw+{}>SYg;Lc5utig zX^qxPG%5e&WgkjCTkjkV8HEs|ehF#($t{6LZqZQ>ss5*ALj@QkYzKwiQz~xT!P5P9 zjp@(8%6ml}p^fz9kycD>hex}Zk@@{>L(@?9E1Z-MJ z^Tm29Qads}g3KMEpeKyeoB6P>fK>IPWcx}Tc#&6E#s3g-P%6OBA0HDFV=Lb{Qo2n5 za#|fg#>;Tw6MScpNx#DUemus2Sdi(@Q)$^-yp>X!T_dLBXz1bKx-!fAlQyE_r$zO1 z&-((1qDz7G!l%2*I4?ICEbf1iJ(n(Lb&su%49K^~D6{(Mq=?#anSFU14U__eQDgxF z5AVI>o(8gJ3rp`KYoPMPNw+QHOn@E?d;1jgRbXmY1s|yKNs5>Qj{~YE9tuA+sIedC z;Jo+ty0j&JWn>E&cB=wl*B2UAA-pIEO;~vN0#KWfC`+8w-X&s9W<}AR;eyTAfj;@3 z8Kb)%{aLqN3FB7C1{%Si621LeN4CwiUT<2;EQN>BdSZOk@Ez$BDztw*E)#Z3qGteK z6BE-q0CBzy4p(5~AeZu3xe9>ea(#Ce5?yEfh@GNHBhK;h@tBMZfj4j7#H6Gcc&1Mn z3UP8O0zp{4nqF_`m7)SE8V9F=NV(k(!tQWGhX1Zj5x@1Yf_8UDG$#hB2l7^;=Ql8C zmCju3%M`4gbPdPpAY^cA%cxqY-}?51%yMq*RXMq7M_{HdacxIa8Y8l2gxcI}XALJ% zWzS0Li@t61LF3V!395#MB()H}dHEgMLk}7c+T<7Cao|_kp{-i2kk*7~tckgT6 zTtqDJ-45WSpMjs*N)#>>zK#^e98&jp(3v$> zHc(KL`Ions0hIdncZ@sq5kpZUHxOce>zg_UCxD^Fc3otevKp=GQ~B2fBkN!DlV|>L zYmBbZrlz)<%zG_FT;-03N;L7}o%zV{e>`c<`5*_YgodBg<>TepaNj)0wxL`rZt2ff zv;c}I#8lkxeA*o@VlU9%XO%|T?ymHpi)3$kWFU|raBoOyqOoVPY;IOo3$+{a=Jr;% zAhd`Pc7QYqDBIeNls|l8!Nl}q4YbbT3id{G#Q~jOs&m#rKu$;S!?Vj%(j|$f;bpwK z7lKXR+W`5mVV;{7U2$h*Z;84O??`&(f2R?Lu5L={Edc~;<%Rr!16~|eS0^DkAEjvi z@#RTR7=bVh^qWX`Xwa;6oLciFY0}7UM=^&$QI1V`-MzsRG%`=&j#CYf*Bfyfdr6u< zv2mReo0wci%MibKkSCj#USNE_9@{k`a!M%YoSf@L%I{|-TH8c*fXr0P?skv+%4G@X zEFcT<0GQEh&LFtbpB=QlG|<}I2+UoPh5@*Iu#=RMo)gmb+Z*n%kk~#M+*@4CL9tty z6w2N4p|N$5>n4pzdczU_!I<2olcE;R|YEWMoR$%1FrqFqN)cP+Imnw?^7^ES%Ill|KsrGmUkIW<5=FLbG06VnE`adyy02OEL_M6_D-pj8izmvmb^s-x8)))L-X$9{_T6RPjzChxcOEzZp`cI zi^87KIWe;puCs|OkA27d~nhsEFFvk@E=j-X6+N83}6g<;)+k)%IpMhHL&ao zm$`f1>-A`!ktdrr>d+Y=gKXgdeNNu@6FXQ-0QO@@<)RuTxf+`wYD!iH+6)Q4dd=JX z(waGrh-}fIoVTi%zS@0DRx37!@qTDT_Rb%4 zLn>W}G6xs88wfA2=NL=ri4cW4N^5A3rrge57XR<2OcJ&)iq2Bn3}i1(1mS?9kvQ0T zL&=?_qLMNzbMx1T&Z0dVpuVKMyqaXMuC5+`K%6m|sIuW~0uvK7(xu{=p&lZRlTUUD zm=YR?0mAphSFgxXDD7JBCeUSh|3)h5>QhTS$-)@OkuFh75xIX+`<3F6GT6 zBL-c%OJdjyyr=UW`AhT~zz^BT`golF5Mu+X>KW;6ckoCP43Y}K<@C0CPr9^^JAg6O ziBuwqeEJ+FzMH{U+);Ghs{W?QhIR3JJ#l!eDf7MPV?X^rwIYz`^; z*`k_c1B|Hzjc)xHA?r$4?KI=$Q>@4apB1!XYv*?5DG%OHFhR8|BVnq`&+7 zI!r$Ci0B6$bO((pxt(3r=HENg<;UrO`M&ZF#!}p9VEmQ5ogD47Zr`@G*5aA<}e9HxE9KsN|Vl42-G08}-KC3PaU^23LILi4bx_qS1boG%)YRP%pfs5aOMm(d~3(SOdlPasCkTR*nf`nFTX*CUrS#px`+T4(a zbZ?CkgZALA`}D&mdd$NIKh@E)#Q~;9_Aq*qaxGWEH|+EuXD6jE_$)$qTo?7#?FGB1 zh)#R~q$gUQc_j%6r_%P4g5Nb8#2FI|j9Eo&*P{J)xyPmw`O6rssjqwk^LL*+Fd=|P zkgGl!A!C{+Oo2?;-TW5<$8y~aR`$~Xi$us_LS$e=Tk$q2N3oAa?)%e$;1FOou{0Bh zE%d(eyo%lvBufh748~{j^&gyTvkh3Fz5t{fA3&o@CFY@_HC2Po03X!`I83;i@JB9vNDS3H4J=GO4Om-`rI<(<78iPmVTKtcqpt*bEh(R>MMM1JFn zh|t3nQGBlzafo;k%vFTVy8R}>d-1LBjk1a3BDA$^Pd$LN!P}THTIckZmcSEv0i;7u zM9+~uvs{qrxG1i19+RwJ|CUj-OMpwnbzVhUxq#3xOsj)NO*+93?4t_Xmp>^YHcwET zyT1Cd=wtDEL7qi-!q%|1=Hn!qVad#z`=Jw=&%eDvZ~+|x;sK?Pq%K3gYp@=4sGZWy zW+<+#bfZSs`;V{`92sn-hP99{&cgu#EI(z2Xzh>so)m#$Z%*#5oX`q*mV`$b{0Wjum{Hr zg?{q$u~Ve7z1h!v-~)g;NVCl>iPRmR8H6obeN2$uhFIGhQ>PO8>X+BFr;uaMBPR*w zyiA@et9`Pt>N{gaC=D4-CAdoSj_F~may_9uRbJF)_7J>mDL?UhCs+lGys25Vc_m~m3i-T=hwN|`TPQdE>xz+2gP~(_sc`L z`H!o@Ju>bZ4$V*olbN0#FLXJI`yKRBi0`QQ)C|p)dTSMZ;;}jqYVdvz)&Y-EufSFp3>%=a0T(k>YSPwP4zeinOvB&Zb z6N>WzK#jD6C@0IVaH3=M;8xo-#?g=ZL6lh}j>?L(g}b6J*F9BIDUBS>#I0IS%o+w)^DR5Z4yzqGrt!?!n3 zp<3#`#=^^w5{a>=bGJ-td#Ahq`0BOb1zE-Pxox`#sh7NcjhJjkCd7M4*(ql&5iJ6-yKVr~8+`z|NA;HylTwdDw&yaP36e)UVNVg6i>lTvdW+rMa6EuL&m6il#j<9Euec8-3ea@DsoPC#I>; za)c+icVCH8q*NjExHJR3m_2WIUyX;y8zUdr2DQ`#EAjP#l5!c6fwcEpnV8W2w)y>i z5@DUZtD?A>fdr|C`8=~;%D-*@>X^`7^Nf?HSSmSa2C7cb_Jj|7#ogB(t`;HfcZLTR z_7O!^!zX?@nOe~laW)>vMIdy^M|(=tkchzM;{R0w7g}I_};I-JOh0) z{)qbF@=jo_Y_x`?6KK~7JI&QM?Z0GNsol6s;>inTd6MbxJ=3r~>2`2~i)V$Wm=%3d zxKVJrh!ca~%BXVQi*AKu>#dA;Kbu^PWj=W7peh-cF1vIy(8^{u{nziS#R2mma;{b@ zK8-m^E$d6Tn(6XPLtLwe+Z`icsxs4LX(8n?KI#4?88@h*Dy6Ob@as;+6l}}R&1!d+ z2ANv|HHvnGc|Hy!7`VK-yg(zFD~dJc^;s4EWs^Nujt8Q9>X8ull+$ZkJrA0PK*r0P zd!x1U@l6|_6?Ruh1{uwSfP{iXmi}~*zD{YgFMPeq9F3@|N}9aRB^I_&uDmz+J`$oy z!_Y_C-_ab+XPv3wYTNj(Ym%@w^f*<&c?7CNI{o*l9{r#YPfnikxPfW+&eO9eLEh$? z-4q!MdG~@BPskf2nk>{*lJ@qu*U#4Uvd;MSykA(f!TW#xqw@c>_nvW0ZQHx>mJM4# zHiAl(BC-XgBOL-kX)0A|A|(hy=t%D%TLtMhdR3%I6+@L00RaU}=)Fh{p_hab2;3RZ zaUbyY|K+`(?!AXk{0M8Ux#k@68P6Ew88g|v_)6x(3q*HLhavbY`qZu1wE5%5$j(x+ zxkPexo_$sNIfOf!!Mpr(VVCBS|F;o677ULV6&bytBYYnxT5G#M`Rw#gPmptM64^$$ zpQm?(!o#wp*S;$MGJqdrmZYSFNZr28-Qh~cuF|)Y*X?UuG%i-#SS*t%<-sV{Vf-JP z`F=@o7}F{ZI!vnfeDHM!>7CLlpT3Rj^0vS8$}RQ`Vpo~}hDN72uhjb4!M#^54EOfI z9ITd->T%lf#n-e)#t^GjOc_ePwdHmTvraGNHA*s}-G5qq5!C&_mEccTPl}f;_EzqwYf<3*Wm&T6XLrl%YU>X;Zk`{K}om z0JYu^Sw}BWG`~Yl3CWpp^tdTz^ettB@y!L{m837^u^%>@{JgTQoKIghoX?)4IWqMc z_F(sx*3}9*@ld;alx1xNcn>FfV`FP(p}Rrl>Z79^Vme=vGj)#+O^`IS_3{t7i9+`W zCJ@~>;W(6g$R*^yVX6c#yX)NIrIk?HAIAT$nF~(*>)dL}b+6$v)WzU~wcw?$k;nTC z>3PWtUM-uru@m}3TCvEDQ->$)V>`pskoFP3mDZdpMGbS@D{Y7Lp~&nsoE-aX(0=Dq zcf%ydZ5}oA`}gm=YE26q8KRC4FsK>lXSAnmOuo%!`gOAeIW(j+Q=FAsNA6?yaCuYm zw=zU)o1^XcZ&^QsTY5&H|2JrphW*j~G@Z9rh1|R^W#p;t?t>D?p@q+BH;n@v;y!YO zdggf5!jr8fibt7FU(ADKcIlR3BDi*<51V5*O!1oxaixSmWrB>oDR=&0>-l3_)aJg2 z^Jei?h!{RIeMHp5(>GcXQ7F|L$l^^)Lqn+`_4wYAjgejTfc#$4xOu$VIdacCU5P?f z4lO4zr>V36FgLb{tpV^8)BB4#y zj}N~Wxpg$~DYGN?hBwaD&R34%;G9x!yUP1~%Ban8;W43FLYW)Sdm~4Qi#j2x_|Ppp zKFhn;Ft{(s`KWKojt95#9o05eGDnc*q)1BDPW{f)J1Ed2?d9EayyCjE_f(C`vSWoc z)yuoqI|}O%$EsGbtLWTqHox>|YTL?3@U@U1!oXwgoZvd!`&V9gQ?0e5PV8G(tsdMhPU%iXj zuH>sSEW!zpq45iUx)e|U*>&mgQaWUTS>r#(u9eYCVR1e)CcyS)QgsLC@#O0GySOlZ zrmX%N6uC+=B5832R&c{jL{{uWIATCr8XQ(eCjWXF48baAyFvRdXA6pVt)*V3!~UDBTLrroq?|lEZhnb9T~m)Kdd>A zNk&5B1!4tskjHc{i@kgA{BNn)wh{K>?t>ctP+*`VLLQ!R*Z~d0x3l>EleWVBYDhJ- zy;q6Qia=dh8rsM4xaY__3V(8{`M?P#m(Z{NmDkSihd9)h%?b4I1UX#vqp+A!L@& z@bR)Hg`MT_akpOh($wnA=GMtGv1tqI`PyX|apHyhMu$eOVF-ZTy%tdv@sXU0&3&~1 z*JSZN&C9gZaXu0Hp4I7Zt(#%iA26jen0T|B8e{IC=n?##ys6AcMWZH`l^H@vX3LhJ zF5219%I+^vi+&#grD`dLDbm(ILw)Z<&WQsVi zDY2IUn=WMh%m6AU&*K?JxAh2t$#z4*o_gwZ%HWX>nsZk)APi_sWR}4f78aW-$L+TA z*L?^Yc}p9AGvQ6_%8EAV)wwY$Kl(N&hu5QYH|Q}-_sPSytEUHw@ttQgjmh&az8m#q z_qmmch*;gom-J9*bL&RFuAI& zDG2}K08{m=p%szTN||=zJYwM!OQ806!!$Lu$waL){3!h8@pP2i;XlqHXY~tXVwcg2 zMum8$v0YAo$Wonq&W+@GlLg9}cdqA%8@>EpQU|tHzSBi`!Ok^r4(xU3lou#zd$S}t zwT{74QjRI90-=a_rJ=U1;E7eY``%=)UlCt-z7BEQuCCEugEi*Pw+~y?ZWnFJY;ufM z)Yfu)czI=|Ex#T@G_G_=JEJQ-Bf?%E@_KpaS64H&HIr$q@JWdb2X9vkT9GP*D;X3N z=SBR7WlpRw?8Az+4}3>YU_*)vHQEjk$XkYD@ZC-K_P4dz>26Fm*#Ek3>#*%TR5X}) zm0Y8W9tE1>9)*)jr(ePKe401pkB5gv`G((JHZ>K4-zt{9lz+(J=yD4lP@@ZLB={f| zr#dFOwKBX%?h=p(UiyUnul8LrNFkRUC zZ7pJhZp#zB$>yO}zL!aj7L;-${{iTV8{~T4lIZe5!TeQ+@^_n5?IJ)L6C;x?g`Dh4 z_k9l?b=jTAH4gV@R|i!}5|{VudXPe=GQ*5zKMZ%h9+m5^JHGYi;mL*Tp=^?Jf+J=P zGA<3h&TnaWGIM5pcLdPuZbW?=`5=T)4cmTf0nwTkTKJdtJ#jYQxR!YIK_u6DK$BM+ zAmpGDtc8H%-%!fS4u|9ZI%ky(mV;@@wxz1hZTdEI(VBpF2~7c3^ZaR08Msz4*RqmG;9-hp-U?{2 zuIkDsa_ekG@)zpyj90AI-qR)61QXsN3Kj*%rDP2sB{uO}pa|IAR=QFRrIx&PHoN=* zgtS7O4SeZ?$J=7>Y$fNLOEUJALvA)u=wWzNG`~!tAuN|Tg!&#%Y0_U*`nn!4eLaLv zO3mSH>m@0N)@qv2_@=%)v6xlgB{#i*zUZNM27eTazUpk%&+iInGT=dH7F;pnI!x`} zQ0K0u=sEFngFgmapNOQDk9f9V#WkCdGe&3ZwCBNcudi-U!?M#r&xf|aNVk1*3pUWtnGE&l z#l*;od8JhLz_Zln+fFw2(@#v#84a~fHP`e^-s@Bz;|-jCak3WAz>p@I*cr|s{3c=K z^HJCS73>Ph7X9zwA`(U>Y#?EDFd70uTst4y`1#ov%qoYKjuDLI!^F2&%5DYIh`{v9 zeT(#5+NiIcG5fEF-0(?dwm$T}MMl+<&dJI=IY*d%BpsbM>dElpd0=TGwG^$dFnB{F zC;suN>dRA+u|tH_O@af$-xL1m<(jrrCe4+$7s_YxQ8dmmn)qSv#eyY+Ql`_ag)n5D zcM&Ga-D!j0DXBULH6Emd`yaaWmh;o-ou!k>t)F?UCm>r5`P&{5M~ zY;~Z@&H9^4^*xg9>1EK!EmRvq-_(}ZZl>3HtHN*mUWP7{x8nz7KDa*kRgdeZK#$On$S_Y(6?(7K+ zg=OVaN@LDkfos!yH;W!kOC)#)qXujD8zj~W?)*jCl5bBjvnbG7Ma|4@-ce>bz@FXL z3CZ%2+#JD9Bn}RTv)dh~G1Xi=eOAqpgK#-8j>|elU%2LgM6NMjTHUstg!CN?CI(dH$ig zTGyH0-P6Nk=9{h+{4Ms#3jbuDc>UB&rPh(C+!}#4h-KsF>C3KPqAGfqUgSgFn&4F~ za}U;a71Rco?+>u(ry{KJXV43g?-08B@ISwR4yyk+&?Hh2Q&ikXLO}Cy3Q6hP8${^uT~t?dIK=?lV>hji-% z^58oUWc-U#^!p6GW|veTGASl;$E;;+J3H>4J%!3$F8JDIwh-i_=cpufDk=}Pyj)~K z>E|3czFH`8XlUR@0)S24yDoQ@$E-G60w>L?TED9gxO$knM?Vwx^#B5sPXSUVzdTGC@P7 zXnVbBgE+<*mHIY5Da*?@`5D?dGr2o`EIVR_NAE-M7vlN|J+X$GT(>+iD)qH)luvYHk9El&Sr9+F)8trtUXcnVARX z=8Hbe=ef5DRydT_1~#U8jU^fsnHV8$M-~DC0&Ix{yk%YUJi6BqmMT<>>vE}ZZn2}B zrf$D!dWm1k?H&sieDs!qQ*-uvUoq&s+qBb8wYLE#Wo%5mI(PAmXCK!c0Hpu8A4L_4 zA%j8=WOTFDFII&gbH4R|1?rdCi1Yuhhvc0i6*R zoSUoBZ{nsoWEF3Ei#%h+Z+y4aRMHnZ6)D!`H@1;hLmY8KYr?i0m?VdICH<$lIlmOk zEmv|2-YLDfR6gv49k7hi+#2;7R}ElC96QT@K}P|JV05R=NwRe09AX@exfB+jUgEsg z>g=Pg;n8D2W4hAX*l+p#b;;G<8^<&rqCOp@fK&K?ynSx?$Ho{13CGJXd+n_a_Hr5! zd2ST*t-qu)?>k!kZxsb2NAllFLkx9x3IZs5O&Z(X-eH-Z52#ini#l;d=7TU(>=$0 zFc1NS=$NOMQ%Rqx+ANw^F@1h3#fXawL4#(wSYv^isP07;rvuJr3#a<8HAAU5)eqh=IHMD zu7BZe@rX>lqm~g^=~HDEk~)JCE#^sEGODpiXD%N*efl*1(GMgOe&X%Xf=!m z9@BuLl!i0BIHh8Rx$PL~QxJ8;QR!SirZmLwW9%NTC_!#9=S8C~9G^~Hg!@QXUyk|m zuyv*ilh&5M7TNA9vsBvMB{}Ty!U?F;YHUHNPD50tBY6y$t*2nQ0mOFK(|1QOU2SHY z?@QgWUGBI}wH(g9Z^yAflc~+QzZ$9=6cnT&ITQq>iFQhZZElemc^(mPs5sDEP2e6| ztiSHBUG~^XOm%V4h`X1_L1vZvJp;lYaSg#%qfq0qZK>y>`q}o@>p$=G9mdd(dEjde zkPivk8DV6i2*NO!$SBn6tCImXnT{o|0>>$(fCT27d$*?448}9=G>eK3p+AV&?{jWi4lsvf! z#gDZo8G&^D7}4U=mLL+q^6t7FO+?WC4rYS@ zc6odsh}BNqvh2gVhTUB#`SeKjIJ>(}l~3l@Tq6^5yUC=!S2Y z9Da)>KJt88nMCP>6dAX59io1|fn!hkpM}CYuu-ERiM8rm2A**X_;F+2ALAnpG#JbE z?k*b^SIJ>`<$>Z0@<8DKX5(OM;f9gBG@^qY{m6a%nci5@37wq+)a9on&vT1LNfJrV6OFvY3_N%(6 z&n^FGJWA^T4Ihz0Ov?2gAGh?7$dk={Ed~UZ9?=)>9YM|P7_hvA5p~0>8E?rB)`btA z4@1{JovxUJ0F|FLU;56@^b74-zD_~A3@1$bJ}yV5eQ{wyy)!*`$bWCGWrKs>T7?2m z6C1O#5D)Z^V%i~R0)&-Nly@x+oZ4`wnb`xIF{sI{M!HR`SFtJmVasYhMduxzWdVl6 zO}-2iqIYb3S})~9ZacYgk|rAWRy%-ig^|mW4W^*&=GGE7ev*b}x;G|hZwf1g+|dmG z^0JiJi{Bu%EeO+T%Iv zXI`sBG;7kw#))?OlBbZsr6o+x7(bNHL#$(Tc{JIaaNF>n)`j2tJb6r{L zZoRPfGo1A{Y^Rl`tE;Q+9q-uw8B9<_n8bu@iM^|6CU&bIA+T>A93RkplU+`!p%lDT zw^i$t>#cXI4kN!Z_?o|FXEqtY%IM3+W=gsKLgV;+k+!Fm`tGPe z;y0cu(SB(hNcWjdJX3G|DBbF#(K6GqS=jyzEIVO_*rhJ43F5>2;yPJ?fW_)TTV6r& zBmxKFx>a=m++Vt(rRUBTAVV{=BjZEI`2{b4vd)@WQAH2MoWSAbr*tR-rk778p=j=V z!hhKiq_)%6Hi)2piPeR=La6Kj~Az@oq>rY1~caPvz`noK75uN3u| z)cO1P?hcQq#RL!+V6gl-$b4?5U5nbTeSgtc&8A1!GU2Z{18CFp1<%bDY!W+<6vo7j zGaP&8gX^u+@5xp`{S1uNO~;5Q71BImA9U66M)2^=Pp~CYv3_sg^a~Y3!$I{2@w&I z*J0A*U{i`)7_<3JMM-6YFPVuPsI%+Mb8q}p>dkgwft4<%V5M|c9Nl(xr7M#ng&pZs>?1{PLXt@allig^$g0a$0XS7f)nzt3kU7Ab*}_& zRl9$c=#R9?-0K({OG5!L!!5uLWS0Qn#ge$!m3h$XlkVlSJrUYX;wYsD`@1>Z(bDIg zcUukXo;Op|dX0MY`=bW1;4)v@yBo(mpp&wh+Vp+k@b|zSf0yOTIM=F$qH5RAcaVa0 z#^CHI-?>+z%@8mDAh4mG+=VUti0{qo|8^%eNIAbhoEaxUi}*#6%TYG(=tJqx=?Dfp z2P_!dj)H`7VWFdPOB#q>a7)fX)#ZYGQ0`U#1>^Cg3YBk66ByvhNlhotF_)-O-+r~DD(N{JOS=^Y_*?!fa3a*zhGy)G&-Dtzst;TN#Zr~rVF863>_)G z_W<;F9_R2jcO34o+bpZ$cx6Z4K<^DahYu!or@C^M#6&MCwA>0QfB~9qHwM7^_7ITx z+J9wp@3?}EE%vwC-zz>K6c4U|AmvMX(CS0Zdk=?D20uYSa3OHDP7LV}sq_rbU9A8i zwoGVPD4XlGJC*nEhEMb#033}2Ux$KYGuWTzg{TL%YR_vkBK-9urY;Mt&lGFrJ^1bl@5g-zfYe{+<+dq4FOWy-KoZz zYEkJ&9z(xJicDliM)WYC&)|8?+k^dRx#iEG=9bstoekIHSM6Ztve9!=rDUzQp*c|u zoBth6xnH*yCiy$cOaB6wwL}hkbijP-If$?c&>;Z>Aq8QM5(r!~Ibp zo}dsrJU^bfE>`3NLQyoDK47)}c=y?{)sP{fo6lI)ALUv-Wz|RE)dTdgfYQe!W$`__ z8-9AR%}>2g9C4x`eJ2VWMwm+vb?^-;Wjf}1GaB`n)<(*a^V7z)z8*yd0uQSwS*P@o zpAe!`yUg!7+KL15`6iu}XocOL6$9fK9r3ta*T{G4m6KKRH;=I>4Y%AWAGA)ckx83i zxoe?kqYAa$1*j1>3Aw4y+SuK4=lsX0gigvG0MJQJzbPa8jcs%-wH)o zRTbOCAOMxoKG#Z3ku{rT#q6RGXxafwfDEof$-dfgIjzUD^k}65WC9Jq2@Xc*<>+kW zgL6wGZ+s@Pf0=^F`A-9kFHWdDWnRFm6X_Pc8R3vd1e+vBy$R4w*r}eA@eMn-ih&;Z zgufc4Cs%#SjA5@;o&h!(^Tn?pQ2~ZU zCW*iI=cW|G8g@ay<VaLy7K1(nR9;0dbE8?cE2j z`p%mr$ofexb_7ziMFL=KJaW$}FvJFTiBHRN&QIo%0^bcZ2xv$8KqF0Bw9IS*B!920 z-z@pzkY?&%A($319qy-59a0J{0&Da=%}@7CJqNQqZ6Ijzt22}kOBQwkwIx?4CBO32US?wh!L6@Y?K87})>=4A5BJNc2a+MvYC&k(g@PJCJwH{X#q4%v z`J9@6^o6?No>Ku~#Pg3#Ke*d+XmJkLf%MYMeF@N5s_wuapZlh;*gXpF-^_h%(&boZ zG3A4)4dB^LI3|x2BftwL{1&WvAQ(i(+7D{qy4-Y1&25H{eCW#sVRew>4x(bddVX=} zcLJgD@$yl8&GtoAJci^+fc8E=Xce##JDstl@shg$M9)UsQDP=8dX&~II{4f`P z@`$zY8!ZEMpeLvA>X-LK!WJpJwor^zFw`FdKnntrQciWf)aG{^xr73kg=-e`EJ#J& zEMZxg5b1lj>CFQt|13Ij)5I9UEgsoit^9c}=3qNU=C|loiH0tljYu)nXQe6bxu_dA ze}NNx5Z>mS{N#MRbclo&gv6B0i!}(Ea_M!$Wj;>JzE#lbC)M`LrqGLzc~3>{3?|*Y&Zd}>KG-NGWvyUr#> zY+0!ahr_*L4&g*IM8U&UVQtrwTLWrHC58V41;@yYh0d*xxQeOK<(4YSsQc1T#her7 zVGlP)q{u^f{u~0FRJWaxpIRX(izPy?}Y$y&E85t1+|z*sD~*YSnup8Z!3{xpCf_QcEx1v`% z#{5=N>-J`ZF<$~{LGp@Vx*j>dHp=cb@@&`jfVhQeMbEVW;My5+(tExPHt9|!pm;)1 zOK~26Wtfsr9UF5>?YB4^zqQpht>Q&MiY;^_aE&_}nDkI&hm5s{@USov)LTD*j`GsI z_U>Fr)W=d9-L_xM#J{vQA;++ge|`?x1A=!hC5B^&L43l97I95ON?jRh6*Js zhCg4WMHa4?)!ecB?qd7^Bl>t07cu!x>jU?GkVfwjDnFf2Lbe8#`k&=FRFI1G@$@Q*#6v+ok#X9#;S-NMo1eaY$GK-e6EdLv`$n$pxo}T0i?#k}nmZ z2Na3vGlZASb@W4hsWtwavUt{?znsA{a}M!dlGmix-_b^MU-3UI7yUP55uqTn_;5+l z>&CCHPXg4(Av)jSm#&`-Q0X%nauX5)hE4pnxDfdlB5+Pd+ldm%A4xdO36=Mu}=%nCF>-p3((l8gAPT6XuRt78-%x`llZ= z_aB~J+rS;~!geKHcVj(fy=LDh)!imr(?REqaOkl38>yz>5SB^2D|R(r$(w>cgUad| ztJ5NCSy;R|7wCm+r5Sd9|Lhn8q zx3@ym!I(@TV^qk595vo!K26{?{~xkgH|TkpDJ%_%ZwP92oM{H`qx zH=p@btjPU=EJGn!!e33wkLJUXX+&m_vHX%TAOmtWM~ z2@&6h-{^uTOmir;&`D2N@#rh2-m-jJlkzi`H$IWtIpK<|6!i<=P-rNXfKTY-A{B<1 zg3rniaW1qaY|rj(3CzDyyk~dTIq?dglv=jtAbp7Q<>1?=gy>hDneLdeoLsGvJF7b?#JCEU4xb~H$U+5O03seF{s3S?#z?bNMlAd#=E!|+arzh68#h7BdJf{$!c6&c`bOL zOP|t&(uM&^33!#?swhW zOgGYRwo=}TKJ&U&DSI6pQ?e1$YAJL56kOrTsr>-wwjz_u-641pN`r$@s+R@c=qJ1t zZA_uA@>jY8S}qnneoyYGIxjjF3f~_H`LxoSw{@i76`Xwi-TmRgZzJn9SArQ8LK)g` zX7M@%g691^FTkkVR)T$y5aO_3C7;aYDh4jbGKR@BHP^x-UP70?Qe?|ZW9ajGB#B3< z&eGi*0U#tP8tj66Fny|ao;QO}jO(y& z7EPmXbOydg{~@I~V+JI3OUpBcqJ#u zw^p5-lzmiJGtS+hDwezYluj(b{u$o{C3~B^)45cN)wZin=cfZI^C=t2X68B9l;~f- z9%7(=@%AbA=g`}W!JfS2D%Tm`v|r{|VSgW{LQi#zGAShP^0yeZm%LgLgh&p#$jg>7 zVoS{XWb2A1yog8Vax*6`CH4v4>sDU>bVhcGe)2IXhzbY!&rPfLKP?5PI!y z6{l~&uV-YVUlJ3qt^|6SaonI*@3?i7O^imcqxTbg372i~G5TT&=jIp4qGD=5r4x%p z5bvI1YLsT19AQ+%=^Qr_B?2OTur}wTs7s!15NMqvOgr>w9 zJ#EkeXN<~A#_cc@r@MLdm7$|y5uvtW4WY_m_U+2;T#R8aAGln@#lBFH(c&t6T@_pv zZKV!v^BMMwdSm>t@W*OR_}%xZTp9dh9*m2-QNuOp_~lq z59`c)m(On%VQpxwY+YmJxaL;RDI1!uHkd7vH$DO$Pv!<}|v2ju>QuUR1)iGWRLmE&4inWH_LBB&)>S#&UJ;O%IOg?<6F?|rSoEEZ!xmR zvv1$3x4`rynseBs+Bf#q4r9~LI4r)r)%mihM=CbZ9{3bi$mCmV5TvV`Dvc z2Hfh`uZ_~=$y%&fELdn&-nHoJukTA*kzdhY5$vZ+@i4e~gW^Uzv!GDqQyELPiir{q zU8>Df#Zx0=x4vjSuN$uTUNPP~D==KtZIkd_*0!j+=2h^4+9va+!zG%OVX@nG8+Hy; zT6RtLN}r4EHK&?uDr?j~r#OyV9rn$3r`wuZnOeff19s@wZgymLE)?+&4^N3sIhP`@ z@{RR;RbA3qb{l4U^~;S}y8M;HrF*Q4w-s;YSahFfNv4^)I+r`J-1cZ?s322G;ZjI5 zhsEt1uO=#<=ZE;dI&kWDp4sxYtR?L|{u&W1P6yv!S?csCc4^qq@St-=Y|k!{Y+j>J zFND70b@09^bKj@$&Du@vEI$v*Bchtq zo4uNSV8JIX6~Dt=ft4Mz6NCeI|qrdA3jq^5lEk;@Y4 z`H-4u2dR7Jk}{@mz+;bCls5k!=b)cs7r_yu87;od)=GIq^(JVMr6Y*oPbebLX~*X6 z2n`8FUoc8sxnsXjmH+1Xo0f-N`RM$bzK^M*9-To+TS=EJFISFOR`-2QHDd~0^lQ6va?wn0cq84yIZmKlnGKJl@VZTU&MyleRG)0r3!K6CIP$oJA=4f?dn$vE z*N4l@lDfF6AK28n!nRPwe4VLQvTR=aeT5&jyEH2`!IDV$%DnzuC1}74VJoxi)w~ec z^@a%dCe*cjudH6k8t=$cha@CV-T%zl%;AZfh>sS`FLNnRZ(;T=-S%EQND=Rxvufe5 z#ck;hl9S>)dToasXFzGu@`$u_)wj>vVtzLuWQ6}gzov_SXxaTUv@o+@feiuSI z95IB5gI0SQ9QAGgY#aDEpg!0oyX$$`cX;Z_e$DLMcM(pLog={Fh#`i zAqyiZSnaItQ zZ{l_J427JRj^=5Kf`%ix(NLMMGY|Wfg2cJLgfuscTaZO3lVf={H#d!^#t+SJpZmp3 zrkr1}o1k|2OG6vA$kqA^uWgRKAOeW-8oZm$Y4aYyEzUTp=)01UF<(9TORlPQWsi)E z9AT~V)a~iR2U2E^_QKC!I=(O$_Oy2b_9i2f@st8K?akeub9>s`Ik-xB%JTf)LkieF zd0B*q`}Zzxwz51=A3ow%aC9-}zAJo3_$CkJEH^i|jLS<4DJ{kOe=P@oljX5;b90gs z5%KWw5caq&?C4@CA}T20J%t=xdH)>b@8c+%yPCOJJGogq zI&hyH_xTIQS8lRAJSQLYpFe;8pXQ#{|MN)>u78~taDpNy?}&&B-xT@Jv4N#BC$CC9 zvi3B$d#Y${Z|>j1kglP?GOu?75d{m)Ne`+PZHIw=JB zU5-puQC`QBd@JpI;8ZPRDzQbx^5MYyqpK`Em9oF`iUXp^QeIyV&$!PU(2)INA%D1l zS|uznbMP1qKSscza6Dn%^vH1@xw+S~h$#$bfjt{pX6IyG9eKRGARGNFNpsK7O897a z!*Q2jwF^tnx_2DP=q%M4aoEGv*d7u$;-@Cr`-$ehPfm~_F0KKZhmCVzu;eb4DP#AP zaJuf4M$yNl_H|HhG8E0{(tCc1q!q_4oYM-tz>1O&v%f+c_ZksUCAt{IIHkgI{S1`S z+N>RP^%t*m=Cwx93)er}8UNnC-3c7bS4FYl1KJ0zfE(;Qj(>*p*Dm2ZyyoIlL3h~Y zdAOntDqSc##)&@lLaNuTf!D#Omp8`C5m4Vx8GfYXdh9`jlttr4NGGMy;0}pI#PpDk zF}q+@^Xa|vfw-sND|0;NSNx@KfW{|x)1WnnKVRc(Y{0_AIKuZ+KVse1%aGq#){o20 zMkK%M;acDi4UedK7FrOb#$3Mqim0YZzYWJiI>e^vVGZjoOQZ6`-hAVmcm=82_XsKa zMNO}-`hIH4Q0iLfs=M#ST!K+GQ$F!R%SCt={BW^~GB4mMhKF;yH{S@fm!qBR~O(T-KrsN+@PNKDvUm5&{Z`Y`K*HuK5~B!1C0ibRdDqxo{ES3C9k%0tTW(()X900#yq74{!+NZFaIJv}pXmyXlCKZG@x)vW4y57c&*U^m^$ zTj=y42QR#pH0$f+)c0uezd!X&QFtQ&M!t2#T=flpLe%%>c`IJ=V%-*9Skq2uo?(Bw zJ^Ml?#3c_gr&-{5K5o#^{Vs2dTK?r7O3PGWL*m33+R5F{eC>4ej3dakWNb9W-2Y#PGGcqj3D9Aw_ID3Vn>9JJ!ob zvYveaFq|9fvN8AB67~Y@sfG}YLK@zhIsFVGaTE73`Bw<%a^5k3<5;o77oVjMMKSXc zPmgpaLa%=U48o4a+7GH6BXiZFFzZNe$-dWQo?> zo(It_-DtD0SLK6$Njw%v^<&4gfMgf~mHY7f+@GKMJ*tmKY%|bpxb_Ia+%0*hqTSw` zgiNhf&nA#QW1B_%U8eiQeytp6dq0+b$Ao2!fPZToS5x)=00C|}1GbIq_Ey`AL-!Pf zb_iL}29L8uF81>i)iXahClSVP&K<1MKsdLT!xd^QBHhZ0A40ZXqs{ByE2|3#!e8g~ z@M+fEF_d19cnmen`hh5l?tR>R-+YrB`l-t^p7|SV&k-*3Pzqjkb4=<;84e#yIpSPX zjo9M~?N@$F*DNc=2qL^bl(XwRDb)aVs!&SFz1z`Z_hFA-TneMS3iJs3-&HKEqHNIl zYo%*Hre@MB55syB%bz<{5^xhy9V@N**re7B>1HNyP z*H`MI%Y#%rhO)8lGDPKXY1E6 zrv{DC4visnG?{9e6QxWVli-=^zWWg^IrDSHPWUsOq*z*qWo?J~pJ$zFayhYV zDwlZi*FU{$4|xCgm4Y&|*nIKf7E=bU8k7(3$WGvd!Js#J!x zD^wrQ_{tY9Y|&haFW!16czY(iDK)PA&3h?KvZn9l!u+3KRF{3y_d5;{&qu+8t+(w# z?hE%Mu?HztH60C;ncqh)=#7sL$O}kz6DTvja*t*=KpR$K{4XYq}1TQ|Qx62j3%tabUGcIYP9&6ui~ za!V=6s=_T4p`)YaOnbbcCg4Y!oy2~0Hhak1t{E$Q9XM}p%a2KNnZl)M&gVE|wt)w^ zGw;bE?T-gdpj;HmXYaqD^rIf31|QB-PMxI(sr_?S+BuIzaofMeX0*3jYWw5lTjpiy zQ_M&i?S5Bi$Nmh`H-84{Zm>l+v}MSD;RfW6&hns!8Ob4?vvn=Y?_`YMPbV$~?Jq&V zo|XFhuBi0@xxeKcbX!`$+mC3)u_RC4C_9Lw<4* z{JNi{Nxx{H#SPCoJLqw0)3ta#NJd(CE#-sCk33PrKZ6pm(OQ$5{FbhhRAvB{P)2`3 zPZu2CxPiGL?PGJQpUzlwR5(3jIi=m2<)B^7zoy4)z-r)~(m0~o*c23!o5hzo9Cmf#>CE?%GiTIv?o5GqPtCey2Vi_^Z@7m3FAkz0;N7 ztvvX-Y;k9`(Ri!%_M%TJU5xgQ!sS5Z9m44soBXG;ZtL;XKjuh}aqfMG6ma+)m=v<; zb~jksrFZ)a7iWH(FzxfLAa4AE@X79{WSt|fl`U6t%8gR$bB)o$PRZ83UVolOum;LI zPx;Ndv)xF9#6G=f?&nUALd_=0PJ*NeQ?zIN1>ky*YYeZJ4;JL*qp=x|ii<3x3!Atq zhVOj7^I8E1*bG4;(iUwab8DDBnc7S-?UmL-k@}Ax?#@p@Ukn z%4&6%utafgDMbxD(31||vXn*vl`7^}i&YFUV>twRJY6R)Fv8)pghOmgisr>F{?v!u zkD*1FpW^g}xKeM;)Uq`0mYi3(rhYE-Ya7+IcHfZErOz5a z7sk#C5o<`K>T^OLb;e2fffR&&X6`GQghQ(Q_`N;G{H$`8%5y@(GXpi$T5k$v@HPp0 zbNpjc86BA}RB*SVj*RgBsojF`gDS2 zKxzC-7RdU2IIk`#UQVEh>tlZB9cgtaFz~#E7ts__b5doYlm`oz^S2;k7+*{X?oNl` zvbJLwfZ%XltLp-7gv)B`>5EVHqfjsN3lv~lYSx^7#*hQ%wL|q8@zR;^Qy+dF9&NmV zHS9MSZ=~4fat;iIq_>q1irn3-)N0WXTIGfE8(&C5*stFf@s*0$X}#24Yu;MA-@6{n zR@6eX$hE8HusoLXJc`!rrj!c)HZOiy`S<9o7+>fNzd?QQonp@;DYuZDJ84;KL_R2D#(gl)*${oDDA%rV^Ww(Vg8gM$O?lVY+ zOG#0jattr$bL1LlTYb3SwWCz&z`fKORYrz>?RV1a zeiMZm(7JVT^*h2klYTad2Rbp;y-EWusgcm_*==ijh#qWtbb~g>17nFE2{`yQbp92w-9_N38a%NBN^?#zA#aEA{_5D7@`x<;q@}n@~wewqp6uj{@ zXl-YGtpEMsP#wK^dnJOkbj0*~{CVj^s9^knknw$Ka353Om)(G>Fx|aS{OLuh|7te&CB$WFH4VuE@xM6I!i4gmJ}Mg`#2H+RU;~74CE(`>~$b7jj@rF`d&GIiN6Qf z?^OSX8Z&CcL%PBIX=;PdU{M*Mot3F5TUB+aworW{o(+XyE&>ayZ#}!I9s|H@28KDa z!&KzWH}lH$hM(j|5NC$NAi!{`;r^_tI7eR97@wcZ+SWD>W|+y-!}F-|@^Cuo?DSa6 zM`@b3bf8OrR&2%?^bU@qFjf$EE}CJ4*YIM_p`x1x%KL`#5OSEFh@$bMj>L|QhirE8 zIb&H-3&}q=R%d|`x0gePHz@`!w?0LZm?8sb+o!<96b&M$)VF{Y#F*Lnm zvs~r6R&_IOpN$w{etr+u%3_6s(3PaapTo$P6Wk*Y((Y}W3pfTLA4&%`TaQ1jT%i_~ zae7F%7~PDksWlz)9r@|jl*_Sg1|l`9gcu^TJ%A3Dgr=iZhwVc{bCaofh?KWh`nP2| zGRMS~wlXeDr#*Z$IGwQjM8JooF5c`J)*tod*FECNEPpkP@X(`V_d|hC8?<<8G#fO> zL~)^xvby=jKdx;d^G5FO>&q0m=;ay`^pFqnXI;pJ(9-WV!&c9LCH?41R`NSG;}1g7 z@HR9S`ECS57b#?nr1xX6m#H`I1rWY;3|4dwXjPlx`uXeLXQ6?4QB%lw7YG;WXA)}w zY~>*6Exe-8+{`p+i{?M%>h?5A1IIgz5_vZ1B@ff6K4T1rnP$?dhj%rQs9`rV8RU3% zste5>S>NepFLzY)3*=@I>=I&@c6otKWPoll9Lgf$&UKazp*-ZqF73b1=JHIO%JWjB zyeD1zHOJir%5pt_iAR*Pl%Lp;0Dz+wzQ|3x^fx*S02`C9oFV!HVg|#i=2G0HS{?t| zXv)9zjL$I=j~D?|*V)h+61ni8y$Sb;@Z5nK(oBhJO^No*7#%bk)B7XjQbf>6Yp=OV&iUDNsy(e1?&B`zH?zoScr)vmM%6^30%sEs)BskSX+N#pEGz<3nSG1IYe9&wbnYoW-Z^L+yl&JJ=p zJbAm&3BeV@aLRc-lOE#2Ou?f{C=>1wUeno~N102Z9)cg^J5wZ5Sr8J-X2;&E%08=T zx27CZ#V`p@WXI7!|)G`GH+rjJ^QDWN^&(uD++g_yB}HDmT?NC8P->5RsM<_?B1fux)|x(+crm& z8&v;bJU4{a{r>kwy}=rnQHjU-!#y#Poo?7!f|nQR@~Q3oj)r6W3-vk4F=m3m6$4n3 zTR+WOzv^~pA;d~qqr>Ba=51yPp&vQ~t(MPTw{&{HnlBz5iu}?>^&ooEB~gZc1P!RQ zrq}-9f;LFoznGN!tE^j-_VcD;GjvYli+3Gk`4~4Y-6Vdu&9${eI(%-dZEIKB#f@?p z#N{jq{QzwpBtQapFSqhTR>~*e(4`v7S=PVBVmSD&m4bzuPJr(;^Cwf!aHOb-ff*?$ z?pDhRhe)^MKCCHqf8j&)Y*)@Ef5O$Wa+bRO-5!(l-MgA<7i0}mxniKT7vy?!I!B$U ze~igeXI-6G_D6-B({pZ_(>W0Dw2Z>3#fhzgIaPPqvMus)pE51IjzcJ2oAl7bqeU_^ z*ka7#P6rF-$^)9W_@scJ_HWNV!I!)ffPbK^OC9vIjc*o1=zd7tfqrwVuZwZS=N=x_ zHL|H4vfZ3@EaB6K?kE>hEU)u(465M?TRr<`9<)(|bq0f-%r5$%yNwdjQQzbuVw=M) z`le7v-|xWKIzt#t>q@43|5D(bx5y@+9IW2_!9D~G=L=>=UqGKP%E5mV+E7$jste_} zcho|m>Px`8zt!O1JrqQ=`a^PYL5#mqibw${7VmGsWtag-a9=PWHNn3mxP8?R?RpEb z8SYt{iX0f|>JjKz0NmXE(jv*EIr<^EalX!Yk%^c@xW3#QB!u=@YM5Vp#|7w9v&#YY zBeH-PZ4{}#=yV_Ed6N|>ioz;hf#5=M!sy05t@ zx7{~b{ZvQB+Ne4T>~a6#Th|+*)8D_$OF(ie-KpbS91ZpaS2bmp20aW@3H{7@Kboy9 zwYE>=ri%W!$Z-TrwXqZ7PJs04|5;tyVFydyLo%F{c8v1TV7D3B zf--%Y!%(b+C;-KvJc~YCe!viX$}cCU8hEH^2bWW%HUjjP1O0ouQ7nLtH^lDYQ&EiH z6J(ex1Uf79f_Il-6aWWZAJhMVgKg56k)p{_joPl}Ci;}GcdsuBx*JT7uAlx58i&b8 z5NyNmAYXtcyi>4h2YM82;k{Ruo|C<|q`$yxdiH{B zF8F6BW<>yCd$xcIvA$Zp?OWa~YRA!h`mxvNR!!f9M;D3KpUf(o`&QIO12wMdCzIT| zn_U^yQ`~7TmTyG(DV7P>>UxLU3f`~2eqoy#KRoB(-ui04BXd&!iDt!Cx73E)2;bOl zyfAz@2;WBg$>5Zs`{{?c@Vhkf)vT^X%0$7TqbKn}%5mv)&2ZAol%QnOqKxC}(>e{Y zq-xZwX5l7`tPLpb6Qv{X@w`Y^^~e;`?&8I7)p&l|t5D}r1LW{lG=jR1#$~gDX5n5L zX3jO%Z>e@;+AUB_v|gn=UB+sBa!P~Oh_Ix2T} z*OIcFX0=X?l6{sEl_2p2WCB(`xlcpCQTR4@;JRKpan||YYGIKvB{Lvq!YPY42hO00 zyc;PygGvcutD8J9mPt>H^B@uI$C!2W0~>_{5G2Zv0vhP$=W&3}etXPYkLqM1^6(KU zT!<^plR)`#WFb1Hx}eh^y`b{>%vmhBJv}*$8L2gD9`xfK$`4H_=)8<{7Ekuu33;d7 zqS;oiSXPW8(Mv7^c+msYg`6NCgSJK{$e!K%93%DHU3duDY5Sjk_iwX{67i6HGTHVAMeaP4h@d;W^Ck>r!h_Qs?GGyuoLGyMW z2u3jP`LC`i{Ll}k3;Z`>^3R35Gp%>rMPYJ!aHQz2Z<-l8!(Xpa%BrFO)>Y^Txi%r45!Nf6<(8)3k4h)fZZ zyEEnx=_#v_VoO4A*X#bwtlfaeJ95^O3TwrDF`tk$7q(NYQs;_}`_`=?@mycVhhF{g z?PtC$v6th#|s*IsyD6rW1; zRm|CRD+Uf0>K1+P1az)(uMfUmyAK9>sUat({rrR3UQ22JJWvIWyy0P58~Uu7_7^?& z7D|^h*}ho0V3^`;XdDJ7A&f)2bsjYnZjrB=s>FH5GxqGytCBAU&8|^Ip}094g%G-G zn>pv~`001`_HNUIPdu3UO8(ZyOw$v)Mil;kF&BR8n)m*%1}*Q2`Fef{{qS*MZ8XKd z8BQj4p0$%_2f%*dx0O374qu!rFCorNj!M!*7l5DOw=RX15_FqlM_Z1uFQo5IQrs)O z{xaixL4Iau{F3@g)%)^+LDD)~;&ER?{82Fit1EjsUiv^Gf;0EmQt-4WJg+u<>Yj2f zMRrFN7dK@c3R3>sKj8)LKHM4o%}YPOeP8}R;0cmgw;^j$dd zL%dtkVHBJ-z|RTO6mLtOXEd5MBobVqd<5UFS**5tWpIw2U`jnL_4vE#V7}>@>Ir=) zLpk(`Qo`Jion2G*rr5TUxkkTbryk2^qTIW!#5(uy0H0cH`sis$5|RPEEP|r!0O{}H ziS+j*fM;Iw9c)*w1(3K<*XNY6ui-Yn!w0&6P#=N__=bIIMX>591jzRxR>t_vaLDzJ z-5_uDn8stipCW{MSfd4mSp#~@#rHGCaw84SjIFZO1`K$XA4e&Mr0rcPe5+hA#bp6*uF0MDj?Lpk;^ zWDF+Yw}59^O_^-qq%WlI{;Zj7jnf%@`99NaQp0{MtSoto#rN^uBUx;Ty!P$D10 zDc3oPKO5bgnq=K5vY|PeR#dS0q=oOAw@%b!wA*4^>`Q?CL9u}hkRb}$4&V0GnNG^6 z_j;=-9p+aNUW=$o*fCEu{^Fs_e`|irF}0X)UAho=W(l^BvAwf84$@GiPt(H->oi7< zrOn*8W50?+EYy%s zbQSlV-3vvWlCH-ue%_X72=Ws*J(vyu>Opna6kF#xQm(Wphr3($xtd-lao;}GFr{US zZ}FIYmR)l)2LgL$7*LJPFm-IF**d}KtSD<+bf{zq(wy3@<*UZK**O7t^|1~&`lkfZ z+hU2r>(sENASrGtpjIjVkD8|$4H_K`Iu*^;2H>$5WGct4p*P%~w+YER))A%VXi7yL zK|Xtz0M*YE;HJjTmkX*R&6@VgIK5Xp2ZmyW8R%-C7fXgmA9shAfASd^bZYz#bi&tb z%7}SchAF;MN%ft{h>8cysZhyc~kEUi&wz`HuEp9Y=r;d!n{w zsg>cKk_4{qQe~vVHZXz9OWK#YP&~A}kZn(T(4JXGi0#W__=(uw7E7__Q_2-bY34i9 zmW`Y6l36PAw>;^HLI>ByoeIgExk128mISgXzvuIbeiO>_zZmmxQSkQ=;ohx}U~GSL z;lEVEe|X-2mcXlW$+9yfjkcQ1$$kM0=^JW3Q}xP`^d>`OzbfAU#(tbEv&V+If@!g( z)e6zbJEuLVqd1iL@`kz!CmUm-Nj~i2M<^yg)YZos8keZ4l7J{uYtFx zoWfL7QK`UIbiJEoEB^5NFps{h^nORhz;>g+Zv1QjT+DPN>(M5k^qY$7Rr_5mZw!7y zKgSj`E0Tu8hXjtZj_Wu~Z}{l@1c(gn_tmf3@{KyqZHq+dkI!w@(dn)oI=*9)MxCV& zt^l=M{J!I1d)V+<;}yuByns#5r^WZ)b)u(q4c_Cv?5@R+$G-rXAO8D3KgysQY+`KH(dHE=UXujNk%{@3> z5N|&a)k(;l<>f{u9gV)t&R=kA=|&2;>`2on)`)WDZ(bSyma<2=-h*B7?Kn{qUvjK? zReM7hATC15=@IT99VJreKqnGnF|H}Grf*#64zZIqgGBDqh|%$n%A7c1Rkxb{p(FmM zwEhGAXsIB{Kw^pz{2v|h>FoV%D(A3NOgaz`IPv$_G=EpzF2KNoZ~tasA$4p+pjOzP zWVsVp_e#`mokagWS-~Cw_Vrxt4vfrnVfKDJohF@P-r3v7y`Zr)oINP}EBJN3Tn5~W zD-QXljA_N;q09%v74)-k(2czSv5JRXwr16fNO?#%sxv5qk`D0zATbKozgSZ%h%XDEv8_#CCUeD#A@ zVP?8}$t;LuuV)zjZq9nMiWxwTv0HoEH!l&t%5ly55gB#gcgqgfa6qy=kVrPIn4483aGtjd?Zy zJ{YkVPY@@si}aa`a!yVvEl|l|`<w+e6Biux+Xerl=+qsvTn(k+|2x0(chcu1vGDhfCsc^2V)Wm9 z7~saR4J`MCw0E`Q(6~d9&MVI#^B1JQ%;c~w(u6S|I`UitZRPA+8mxQRHgCT#P;xOS z`QW!=NSpMjFeq2{xX`8Aj0TJCG=b8T8H?t3y!w>h_cIInWSHkM=j275!A8bB*x*xJ zkB-?QxTcPV@$eVgzLi3?t zjlINj1M|giK<^U@)|rFJ=%*N5D14K-Uo+rQQ?zf$0slmo4~Gm?E96^8_-#}$2Q)Vk z4}Q&jO5)0e4$s~t07@gmZ-PQ+8&)41FL_# zN{}@gUnnBJti!qrk?iBx+nEaccK0&hRZd^+ zx_H8L5GpEh4hI+F_NVm78%t-i$#JY1zy0Qij$PEXKsV1!Lh+hFez|P9 zb$n>eu>>+S?oWu4Z>yKwPJ1NE&zojffa1kTGSx)`MS*ZQos1o@wCvlrU zalbH{y9-PkLHSL*h}w&aj$Je-N~5OCC8rl6>rB_TUSY2kq^&X0fxMSs$MdFu)|UvC z$ULM-z^%vXMml0F_j!-RB`5}>C2mG8$U1Q$7(@2u#yk5%zun+^Ob1ZUMw-d^A@KA% z{%Obaa5_D;{y70eZ8B19Q{Bikcyw0{Iu7Cz-8AH?vY3hW)@A1!{+_l!oUm`?qH4-> z)g?8pwQ2--wSdAKvhuu>%a-?h6)0xj(mo? z+2&KeQ1@t{#P(RIpKBGBm)b{Y0CUJKnw90Mf_{rcq1mJ2_rWCFaf2o6b%*Tjf$lSB zZ)&PIICl(~0agAhKTWr~J9_^vBLXU^(QIaQk#$iu#WHi3egi4|P8L3>b+>b{y(O(t zy1*?$+O79|bveRjJaEjG&Mi+yW|2-vrrKCO$8R+I zE!D_$iz^$~Eq!IyRqw_8k=lV~1J0*|`kl`9k4>j=^bNx(tJxX9C$n)R^=NrDk zvtXQ7#+vg3@D_*sjs#4e0_;hApmZz&R)Ge#KW|^f11OW8$jjHn7wOp{k!uU7zY$Xq z=Z*G^BY5FwMPRrM0i5=VHfHyU1o6}`m+uk&x11`MLn3!Ei=d zq&$b50WkSbas{COq$mG>WCDM6u0{x9#};qTEoc|dIY>P1D-=RRK2`D6*(VhhNVL;R^8#G8@Om| zFP7vNXe=F?hhBm$x8SWKIIExP6+moR1`6RArgpMMN}J&gaYI&XVfgzwE^t6yrsW++ z$8aTllKVTF+(X6c!-wcEBn%U35yCZ=Cv@+-Mw%K=6NrRGbxc-RT)1+(tfQ`FJAa{i zuPTISK`5!?`ZbJjpSQnp-0CRnw@p}b>@ht=1jrwogxcES{i{F4B8xW*%DxZC)-0+G z;JC^K;60`3#MMFL{#gSEr2sMLHZF^jSg8=zjg))w3~-TjA9$OAo^+{;W_~?f zu#AVmGq>EdaUqCs$lM}99bMZuC%M|GLJC|ZEs7J_Bvv|p9B>=YMQAV$jw@k>t59o) zEIZ0TWYC$b>zFy;MDOh(6PBS5-B64WpB|jeCGyteE~RYv(c>=G??b}8faEeDIhy(* zGQ1jV;ThkmLmlEm0DlmS2Kk+Wesp+yn6etO-g%UqGK_JB+R5O3&-z_;G4@F~qC&3e zzMOsxZf5GD&A`K?BaKfaN3}g5ljhh47fX4xhc=3Ph4`%mL*G0PndFTo~@3Ti06+|+(+mbXAS5lGMqXEGrX-LcBb7|wnJCqxoOJ;dJDN+f?j|X1-W^LIkel)shvK?xjAK^Ky zt2tJy8WC45UD{Yg%XCyjsG!Q+Uw^BB)QNZu5bZ+>XvvJ}kJ%KVp*Y$ajtU*USKoeR zHIqKJxXr1$ZskvY`lXZZoj?!2J_lSPBLV;B-)VwS6c3QT`&aS=uw{YXumaG}=`-2$ z0M^?Slf%raAzxEg8m77c^5g*aB+dF;o}@Zyhh#w5aM?hk?qL;$H;qhu5Ln*z$MzGn zPlcxPIfRSf7-w#fGDH7IO89+6D4u$7?U2UpW@A{&_OoArah+>8?$T?lD5Z88K%%;C zi5SaH-ug^EMc|nPKgva}Cypm+Lrc0L`=WE{daNmo-mlSI-cJ7!C7t3hUejtMnKbOq zHxVW$(i_DvJ^mP=2Fl>=pr&CeE~LDary-;??uRPdgckQ~`Mf1JgWV@Oeh;-8;zj{MOMdDWXiRU$e2G^g)R_4b^h^)|u~)s~>hO zd2HP`-Gr{(DeHJGQ1o@!gd=_jmz$c<^JeKi_{-!DZ5cvY&zw0+1Et+yp}cPLC5Ea} z_iOF@kr%CSU(s!EcKkqwU+bcJ{A@M4N!Q!V$6`b;LbrS1%u)vic#Nn$2(>^ZA&IJp>RY8Ksx|`ZN zXNHlF4}hGN2CCxMOEBc-;8y|Kw+f5&lE9-D5>+iC;eH0EiJ|LzCt(*P`cAkye1TtB zQOFPKcFD204W@QATzu~U*2}OPHWfB^t+f8It1N20IeD}Pu@?@jT>90YVd~KT*;RR9 zNDx=5hk0PR=kC{2I2cZps!ol9VT6*$EDiBv=DSW@GXdf^XJ_^5>ShW^^y>x5E0iU7 z!D^%@maWQ$_$hi#FCbBnx1;YUtF zUN0m6h@BbG|IRo5fjFXjKQ91}mWZ5?rl`A!HU3$p>Fy{*EA#i#=2>!0<&P|zpaB*? zoe;BJzC*DR-{UWZcWUP=NvGhWd{ad&H7g0U0|#GC+Ivk8MF1PJ0o~u)%g2q$pF6Rd z+7atCUoIZ+***&gMJG2&YB?s{6?L#qaxkNz*}<>I`! zhz%_HoMqN);<+KxYr3Q?lLF|n=J|Tzn{Eb3)#?{?vq+kIlSmpF>{Yl{(&FIJ-r~CV z(Mdc0!uCA}h;xc%Pv+1~>jHTw#=o@-6RPT)JH_J2P2xIxDWn_tZMlw zW%BL*cvAtV&oRyc{d4m2j-!}rHGN#6j`urW%JBTR#KgBF29bTR_eO zx@&!KX*^o22sW8|`JyUeE!D4)@fLX$w|56N){o4YhUrfhT-gf{KGk{26;GXTd#1CI zH{6^7c@*qHkb(;)JJ+ZKvaTMkwI zsw_wI1X+@1_?q(JNrY1LSq{R#nbNB6*6=;dvpqM#&1_9??&6sDv=Rb`OI6RJ(g-9< z(_Kx}JOuZtscU|1un`EV;e_5R@%et528K_cX={GX2eH&CLOP1w*?JBa`qgJ3e-jy7 z7QMaymsa{V!S*17gLO0ZJ-DNeyDTH#w8 z5uwyw!751=DFBejDQHAPph@mkN4J5&C+8Qg{tJ!l#VrEmPn_EX5jiy8D!aQFHV*EUB_uk1{Tn}D4 zUrbAv(!ygOb3l7o-Rt67?S|U++R|2=h>!bQ2^B(}h8<_inP{E;TL=|i^eZcHY$kq> zh2Q}-)YBD~_D?Z1T$Ic9**p%YR3lPCHtjIJj`8TxqQkTMae>+Vu%g)}T)pc_xS)1z zKr=7u+vgrL+J|H+Nn#c0WJ=GdYc#Q5SJXQlVh?lyRDGefM@wGgN3M1;1k|@FW3e&Q0m~>>Ogw?&+ zHFB4;EOxL@Zx6_!y{hA%0AHx@>n4=@A!h>?mqHo*`DJG`Iwuu3Pu#?KK5U|4Ign=` z&7Qt1b&j_Ew>S4X_zl$K+>qC=Qb3;uCVsx+qy*W@7BqJS^~>nnCg8iqQU}#|?vfpH zHk9Bcf24Y9{-t_u&r*LoaRVd}cB{RXeHfxNz6m+(afT!^T0Aid|@(g{|R6Q%ENj>f`!U`tM4RATkdf1TwlD zWX)=kOJxMBsS$NNEyK?-dP8ptA7!E6-Rjl48KnAMos~u3bh(CwPWTAfc4Pgy*_eL} zX@za0csdoz+SdnX_t8t*Gh;3&-#rAjqtm3t`u*;TeT6$(^h z9Pv3@;eOXLK*F-#Xy%J!Hkb>=QE)nuDKYrcx>SqMoaFX0K9OkUSP)?+@_KqRL%K2) zomad36$?(bb@o!j)n`$)U%Q(U2H8hUfIT+$T;S8ciFoV1wcD$^zYl86<(T}N2<`h7 z8n_U&%V5s@9yD+vS}}_xsEW9O#*za5siE$~p#0Dx6BWl1xAe)6<&POhhRY483bu^Q zP!v>XGjG{n;b|Ad^K9PV_v=E%5vlQhQ$AvMd_qc&8|FH>{LKRBf?)YLlbKE0dXfS8 zkoElQK=hBskI-*~CA%z8RaeQ9I7IyP(-t$nF6N~2`E;AsmOFl%ieiiF2Oc-SU)g-r zsJC|H;bc9Q=*m&(@Ry6T`5;Z4QvJ+%@cqyB^xrekKl6c_zvcr#GLa(al}jx5vp#-G zoor#5%H2tCP>HvZOV= z>wAWlLdqaL@yr@}Uvz&5&lfQ1<*Y_Feb5ij)@SRp4Lm8sUxre5N|U=?9335(7qS0a zdlJqU8S&j6u`-oA{sqdqlOyNhwbGeyw2w575|P>_^T&M*-w|6_9@Ivg-^41I8?~%a zLm8P^g&DMb+I^y5Xl(8Jjn>JxeV<147M1Cr#dn=dcata#7ia&bpP4Tzgy@#IlT+uT z;T&u%usA0Bqf7%`2)iCK=C2DUkvh&=IcBq1S#JweO?}+a0Mn6w!&r=4xBFR2^F>f2 zPv!Fm9{?uuLS~bLU#k=+=ux=oKO@}#oA-0;t@fQ@VD3bT_MjX-0^VMs6Q{1LQ-)If zr>JiCW&sz;=H%{_dp(c{Ds-&iug<5WwUfPo@)$5lO~^>Sb6HY4^A;lx1Rptptk9EC z)u>y*pbC&Syau<@XpWNFN3yI;y1{@=aB40JFn!)cdey{oxn_Q%gQT#??PSR#QSovk zlJ6!QFMvmV8Eat8>F^{*pgo(rHRtRj1LPG+k-)%?6576Ey!<&_TjQ!=Ot?vA9AQ_Y ziO}(v$mp76Rc5@On=w~vq&GXFwWP)_{s z|NqUO#wZJ6z{*)!bBn=8gokbyIvM9Pe$88IWUzlI93SU!Lk82i7%Ut4t(nl%e#&)V ziH=uR)aSwevEASm?_}s>bh2kyLA9xa?uy@Wi6a?x@e{B&^LN zx&p-W-{86qXLjDvqA}vG28PG|UXBoAj}cs~@Pue5{f_jl?y+&O{a_fZj`+0NwH7os zJK)X{``d~d1BXATmfPF*rb9+LZQa{pBt15aTNuOTk@*lqetS8;w6~+>vfG3l=xtp~ zSBi^#FdFvrhdtJx><`& z!ry+OV#O$O1OIekMmBMg>lMVwFm zbhs2aY-!Q{P5z<6yx!8~&0=7M|K`Czhx*9SpY|>!&I*bMdv-jSx^F(|D3tV_S$~tArlm7KK$@N zK8yuRhvKR|-Ka8x@sw7d-E%LRu|4__O4a?kt*0r6R!*iOVaE)2G3D5Anin=m8kPDf zj%w3Vh?K`2khITvA3zeP;e?&c4pN5V_h`te^g%R4z<%L2H&%j9diD zx4fkZ4$6rWIVnl$(?shS51fHjKK8HVzTs4IW^EevE<&I$YHaQAxW)AW| zvbn4mQ@y#-b~6ykwf?SMy!dQ}Ixhd^uY-q}OhCOh~Zr=akj}>dPe$V<{x=d4P9OU7l}#s=iAe?C_o5?%?+Y zRRtX4lW}`nCIbswc3H^Np5`R{a&TnvT2krIMpB)0u5|31RiH<#tIbMQ(6B~`O=tDP zw2eg3YG6kD>UU#T28;tbZ7RAqpO8td?L0}~O z;d0zAb~>Nls0Vpoki1oi{fOyXIARrZVX%sGdA zN-XK+FEs>jAN}W=SRH%j!nac$+6yzPy-5_ueKb_rvqEB54)EJ|p?K8-QXg~wm0)^= zY6Fk0&yKXC&OZm85ZZ^17j1pE7AbOUx`gX{Jk|803`e0f&Fq;Um*QfQ59x@F#ZqzRExj;ssF10T;xa` zC}T;miu}T2fn#NQI_+9f`b3WH25#zAvR!a96q(F2o*-(nB~Xn+XEFMG(JjNAb(0%^ zrz*VF4~Y=Ef8#*+&A~fM`mCQUXo08tBiG;a8}&tlMIb9+FvuUwfeD>J~b9}>LK1_dvP~5}X^q|@$8$M&&l$AJ$>`AmiYZkwjgWzIi zE27V6;#}b$?NmgB<%y*Aj?(K->09B#$B4weVHD!4D)FKw{cE2Gb(zE#7HjL00=gIL zgmMxAZ)K|%zg9u#LNlzLF?K!%uP=WXZKUNshCv$PX!a|ARxH_9Mx#tVrtXffKxq7^ zzc1R~(8E>e1MrP2DMfNB;vS4wxf;uw)IrbYeo0(qpd3d?L}N#GG)Myx1*RM(K(amG zPfl3?1{w&c7*yM<*x7apss{_r*wb~U?e_r6uUz8a%I~_9_wDg+PDv%O*D-r^P81(v z;A_u)*yHa*nR4KKi0$fo%#v|%G}j-^mos1Xg6fm01z@#`D@i@L0x%JTj$-Xq|A@5% z;Ed`FwxntM%Slc`t>ZowI+7CG6F;R}gF-d~upmZ?iYCIt{jXqq3UJDo*HkSp@6PbQ za7(s2X0#=cfj*65NTio@qf$v@ZT9f-P4#W%XyIL^sQ?yo48`2_-$6qPq{CAYLFtiY zhM?&=9;}YMVAwGO-3q)Htqf4XFNxED_P+0N7;M&;9eaprM+X`%ul$C;sd)5- zVR_etIA3#egpPAbEe<%tQq&S{wt4Jl45_jF7yogjQ#@ZmPvwXE%bWmL9wdnvsdq^G6L zHJmHIrFndUFg#A}lN9C^jIPf&V2QhX;xsaNk+Pyc#PcizGeA{kJX1h0hKr%%GB+{d zJaLJavPVvaV3~W}sf6tpta!X`c~mK5k*eWgeXP1|TpY39PWoyl&unofGS4=T$Zw(& zcrg)RAy=eaNNrgH6Jfen84iH5Wxw%!G0|ND8@_#|mfx-=z{a!yMA`2Yb1nRz=2|#l zuH^@Asq>kkf7xsC(KP>zME&#g(E$7ZBOWCl0Z~vnJ*Rkv66Vkg3$Gj5Nj`&NNZoxW zip`6Zh&VZ{BV%Clx|&yCQ+T^txbARRTV}dWvj5#rap9@g z4C*-t5;pDUQM1s_@ptI^npL|gpI3E5>JCkv<+pn=oxAWSr=E^QBJ`8=Hr1roFY9~1 zSSZD04N2hNJq$g;&fA~fVoAPw(`41ZD>`^6Wpgco)v2xxIbnj&y&IUHTA951p7*fe z0H6M_;IM^7!P+qoBx!=q-yRRSO=1#X(E8Ax>S4BL-bbHSNlq$FOmpW+4{Tw^ri69zQT@SsG zZ9lzM`fyxz+uew7;QyF5~9=#!ydB zA;2EdS@p%D3Y1WnIsLBFqDg(1qC7X%_=D={s)QEwQ9sY5AWk3kJ@8P5c>bHKm4&m9JwU;v4D&UIKm+RhH3q= zkL{Gu{vB8K7(VFbNeTkYil4xpU2o+M7RDCwbxuQBR15Y zw&?|3K<~BtWwrrf{zS|;!~Foz=L~VFUqJ@5&-Ji;cFfb=XzDwRJF_&l*Dlm!JQ9wl zIL;|}0=FsyBYSEgttMpz!%(yPYaC^^*M{&Pm;V<0EWyHIZfG7$H($>oGlvAIPQI0^ zCO8^M>tQelzfc8#ssRHd%mDf^I(?aLwy!9#&J;52+lF|_85OpohZB&-AWB&#T}2i`_WBK zINdPs&{+M(C#;c@R!FIzB}<0W1E2mY>cVHt#k)9)@^$<4yc}DZ@SOFV<=zXd27!6W zlB4yHZCgczj}0om7H&1fs4qab3-A{A>hv|6&;h$WZwR6^bz6gPO0MZHlsfDkim&(O zosVV|DoA|{KNQwlG1i&67h^GP>zmDDosCPtC$PNZva$FWkW4U>c7s)r&c&Iqj7*o? z14_a=_OJ-IQ2;`IF~i@R~b$t#~2E=F28kev6A2mE_j8>&zLonwcZT+lH$xS+YCm zx94_H+}n{&0ODZ`Pbmt=`dt_H{Ad6yE!NErRt|x}Qg`;2+kdgYx{0DwJwVSq^(Ig0 z|Dt-I?7M#yv28v4k$&8f=fpp5zyBKkQ8KU&%wThslQpYg-X72 zQe^P^cGH3fm+us$^I6}3X3BIK&%aj6o($7o>lr%4g+*xZK6VrdnT;vi634^EayW05 zt4dYI7CX6BPF?%RauV`}ba zVT)c>uYhGwx;M~o_r2^D9~X5VV{k9d#>TWR;NjByrGa+rcmQ~7$R?l zUA3u+@GVJf(SDK(B{_MbO+9aU@{?2fPu9;~Q6qO8#cZ8Et8B`0$kx&eYSWLY?|`$Q zTLk~ZPcy9T6Iwg`HCI4BeN^(5A(zgyG1me_gKUo*lkGViIDavQdI_)^t@w^@P1Zj7 zXU*N14QcMv4y)=zL5IwEo$xws+>%D~+2zq2C07_zdZ10HrJJ}+kzOXl>teqSf&xGZ>vXr8jA2pQ0y)+`>6Ve8pfD8D2qfk z2nk=)kQQlwCu1c2>WOMH;?t)G+xa%4am+?2$(W)Oc8E8~&#)a}vgv9>M=I^l5+VI~ z-*hvguaPC!iWZ_OyjZPpxvXjKVc|IQJ~%kJLZnaP0_(JIUr`&0d1t5&W58imTEhQ4 z<-xI^oei&cyTlvrB<(m$hVr@14_s-AhX2+5a{)Puw+jdEd-S3B&S+@1;hzP&I_lP$yfm{N)O1nZ58g+muqS zL(WmXO4AV5uBsi}-=Cw?#tU19LiW};o)@b?bD)6h`JqQ93iSPV@}MfXlR`ewGy!co zD0N01hrenZF8Dyl`Gtu>1iZK%Xs35#O)kCLjcS1@nX9oNVEMX?r}05++%c7KGrTGK zl#>7oa035YwYY(A!O7##Uj_1U!!3RiZP0frJHqKlzdxc zsuQs#3-N7Ag;wDpDlZ>PlTMyskathUowa%xAf+!20x_+ouKdbIBm zT?3j#de4TBpX%=pDpcg zBaeM9?VWqD{wwc9s-EzB^R(d)D;Ob6R>oX zqjdf`r8i{dq7$VH{Db}JZOe&|ab|U+_(ll4^x-2^mvp8}(%nWx;Dw;&tyrkJRf}e! z_$yV7(S4P?9kX(=+>1rTHa8zA+C|u9u;Fo&`n`+%JN{M`J?}sFuZ^v4e}@Xo?@p@G zuX@d^HiG(Q(+mlA)z)KV{TFK_8}y(F*p`sr_W=GG-~Q}+F^Oabo+Lf#7MyM#hXf~! zj2H@lRx2tOzpSl*i6WD*F}pOU(Q(PQOCLEs*gL|$F3GgG!B$M#Og4*Md+F0R=^R(T z)0VCv7DG%jG(W@`U^S}rCTuDyv&P|jE195E|~y88-RT@!?gqy;!lhi)ePthSdBAy+uTq_?k7rsh(>j1ue7< zs*2riapg7I>_6zM1V)aNdTZcjn>f#_-XrvC9KfyDSN*aE4wUH?X}fU;GP3E67yuiG z3>W{tC3I`b1n8;*lw1HP1ARj3gh|nTmuiI`MsXNYD69n#;px)Rw93uWj<$|{IfrU@ zx!3~4GnN0SYJ zES`tHi%E#-$UuFKb(hj!@o)djK%K}3W=-Wf*qV6V9=@RGafX}meW42D)f3*%YwwV9 z%QHym8de3nP=6Ufs|G*g`u2-KpVzf?P$cz=9roQyv+Wrs7`W8tGiXATcMs_5_M8)+WM4ZnQgh7QgO@q1 z1&DC>Us1MEhyRpqs^-Wd#+1*G(f18$c?t{P(Xd#o4!tORcAy7h^C;(xr8rnvt^d;R z6gS0zbcHG@^PhaNT71mbQ0v&|tAV7lc23PWgxk{HR4K=eyp(m3HeyZ0<6vMYQ-j?B zk|p<{^*N=tNVx$oXM%+|3q?NtQbgWO9c10@azEQ8ty`zJ|Ll|i*@sojIbLE5v!tJP zBUK&2vMjwYYm>WI<{`Gel0aJl6-|B?|5J}wEMcv!DDpPqjosKpzsx`+i$~nOe(mZ{ z#kkSg-hd5`INAulCLNc9k5>lQiPx zycy$0#-W45Z5*3Sz^4)7C-V{=r0q=6dHg)6u@( zb6Sx-HYbgl0R$Ic=?mO5y1o?D7gZEYHIw}g(DhCMoQPUe?$@$WX^% zJ7A7U<;cifu`|k$w(JXHw4;@K$7R@n&4rMD(cYft-8q?=*@JqvgI*5V_raMTV@i#R zxeEiIJe_`g`>0O8&nBFC7O-Dw0`@BpAZ_-?e)WGj zrvJZ;Pm7PQZ!cF`*vR3`@PGnCT(TRnIH2(4G{es0$hDL$@0ae-UZ;* z-2t%8vt;^pq2=Jhl{hME_>L%-T1xiXr+b`b{kyo?~a*61!ox<)3 z6T-=goppUP6*4mY!Kf2BnmAql?8i#)0L<>&)E`NYJXj9UIVt9utGXJmnQ z1(x}|w|rGL2e+Svipuo9_Xr$vr{WKwBGeko^8i<6u@Rj*=NeKm7~fLh z5p8`A(ieA$P<9MPZiH9EvJWk_0gAoQj@D`W;p5vKC8KT|t!((Kh~1B{<+H{+{m=72 z&iCssNEoEL4pwK~-=EccSwk$|d5|U4rJX;OA)}v-qq6A&Xy9HSe!rrWH|c&r56p$6 zuf3Aay1d1FZeJ8&^tr2wNg$?QY2z=(+h1tYUPv3i2+#5(^;=MkwVchoTC!(~rbK${ zBM3&8$ry)+6bKNX9grF~igXNkAcdZKX0`-&Q8ag))Xm7+`GqKtx%JfPdpT zMZm|LsBef_`yDi1?dUT5`2$SHtJ2SIL1e`ruR|J0OI|wG`KUdoV<&3=;MlnW=odYG z2#QLs$^1duwbPqj+cW?Y_sFQrq*L=i3b0wac6bBCGeLQdRzM_tV=ZW7p+L^FGU&|o zPw-|i0%7z!thS%#+lxJ^uTUCBuZG`x*%>HOBo-t42LCfeQ0tbt;dGyOY)rGhOH0oi zn{Ce8`;c{qm16l^}WDqm~KH@YSKH0IUE9w#f3-FX15#wP9@Ee}| z%S?KPW$a6dWA}=l+9?bowKJyI6my(8^(XL{kIDCSmUs2m9}<4E%xCjj&4R@c#ssCT zbTMsUfyhSQ3lgWKCb2pH)OXYmx-2ic_81gUnzK?#CBdizq$JUU@6|Cb1t1j8??XFx z@=4J`jJI;8$fJ~ha&nIco^>&gHULijy;VY?WvHk0K!Cdkz>$Hp`M37p*XYE->EES*0T{HDwlVspIg zM;6OZ;$*dHuhe?*&RSl22BtJRgX>PV%sMQWOZ`jp3)nM^r-J3j(9NnmQ;qlg67zO; z<9F|n_`(fLF4%}Tg&SLSs>xZkroULJK8&qRF}!@((=>i*kCO-aVBLyi{H4MAv;2dU z+3+#49UVJj^yNe0Ym2>e>Rlk>&ye;$_4^lNVH{hR@7f`(?8Xj|m9Din@V)i0Ra=9;*wx{XkvChSf0qg z9@;;}MR*-7PtH(D`$@7NB^1A}?Bd#`xK}_5cy|rx78-hodb0jg7)2~Ln;_3VUjWrK zs$hOEp6(iHE0bx;i7|1AZlrxS2(xMx+h6d$$YGQR?x=A3L4Bd)kL*v98Q)c3NKTv< z!yd$Ui*nY*rgnUxb(^6nVArlRJx6;pW~)ezaFZMJ0g(Ki!Pz@sOt2QFcOkYZHR)X2 zUJ*rP71jfu(rxs*1KihLajv-rz=?0@mU^yZVz+_!I65utCble;T|VLgTDHN~JG)@q zi*@TH$LXu&$jI$=42_Qy_)f9GK69V=d0FEZGPgJ6vB3Z=kOJMP45!SwgnO~u`vQX= zh6^#(C$xH0s!LTTie@@90`51n6M^!m-+qm%-J;c3T218HNcO(ivX5*9`6k7flW@BrJ#y&iFl%LFE$J|)-ptE@Sn9ibB z2fR8}+SLPAR^h_;`ojY7 z4ZQ2zt#;`GVfv<7Du(#wCG1;0Y13@Zvqb)!AF}K1=xSDNIvyQjlI<3C<)kBg8M9Z#@Q)AZ^?aOMx_aD(dfDV^l@fadh(ET~ThU07T7N%Oo7E&@|~5sM$Jq$z&d zr%p8dRp;VcmK^Jn;up56yDqu1S<_y(a#oBK1~){yz~gzCArJMZCiB)l%tfG~Fp=Z6 zwaH^eW4IQ#^?~@oFCL`ta!XR_N_pO>jGZ$bV6cl;>7hn>M(TTaAHnJoNTI<8&KSs7 z2O|S=hJV(mUT8I$RC=PI%um3;C0{#PZYrFH*I{>5N~10jA*IEf+HK zVCL7Gc?#ZA2vq~P9Y!Aca?u=fe@UedSIzXU?48TpykC%3@m>dbO6HEmWXjsgRnVg; z;7a&{ls4X_f*luf7IDAqf;l`v!yhg}R*UW^Tuih~(ega-;}*>_0LB70mBE4(hEn=( zp!5NZ?7(>7jjQ~`uK|EJLtzE)=BhF3(#q8_O!Nf-Pj%S@#yNInRExDpI!cJhZ8M!a zoCN5At3Cb153qB5b3<`}iQVUK6Fc?~vdSxb;DAI0pcUa7vhDxQT2Kz_qbIul)Chky zzyExc>o12R;EO#B?$tuYnr(dr}KTb?)h`h{AgpBmpPY)e&)dp4BX4bZ7FdJBbs@QRd>baO z+I@a(R-JJs`*0R4SiRr{n@q3uP?HVU=yn$nZecM!#X|ab7oKBS7_uqYT=+LAZ0Q+o6he)t!C!2>_cRvWI zf_~(u+ihv|NVoK%~edVjHVp_inX91mNZ_Tx`VN(BE2Th zJms0R`&u(i>+WDvKaS~;6OJS0{2(TAJ%&37JjD7ukgX&myME;y`g9{c25d_vGCIO0 ze8p1wjUvO`K7*EGPX^Gl{@7$5XR4`Zn4s69fAt&EuHo^Rmep%56;U87lY>39K3CLHTs(O!+B6fXmwE;= zigo1hQKCv-_cXq?`k^xzxlkML-R2aZ`Ffh(o^Eg1a=vmKS?!U_Mbvf_8;2X{p% ze+>|YPX2hR#@CFtS0`gjG_>O6on_T?DwpCYmb)xqkbLw)z$K9*L)$-q@I62{Y{>O^jZhe_Qqya)E=Suy*3$>Ol<|O5I9}46^W< z(U|v@4`Z!@RCc0ID|&HT(tDWx05`tiZYaFsI1_ZXhPE3eHusLp8$kImr9xG1Fb>!r z8^rhvU4v*|X(s5+V*7hR&~!SP^aXDYvnr$SedaN=U(cg)xMLPiA4}RvW{N~I!Ct(- zRL7t?ojGp^(UtF6m2~^%Df3O|xJh`aV&^0i>_)eI_y(+$NINyH_O z1vGT&nUAE3+#ax6EO+bbXU=Xa`?RwakO|Of%Of8BRsi=Gu9goi2p_Mw+8hP@Za}ws zr)cHUWWjH%l9&21hvZRj=Ht&DlS98}OAjE1j5S2QvF@xe+${~8r+Lq-_KwP_@ks*c zySe(OH_QqvmzkU$$qyU2jXSgzEmH*9LQC0OgmW1d6f(&B5^OP7mmRgrURi4|g=7x! zLX{Og`25ALJXmUHR?u)Cl-)~wWe}w)qRnBO9#2zaoSZr1{gL!Z@AB23I}mLe`c8aA zmsLj6DXE42X^mWlxh?eke0SMBA=OvO(9p)mi<~Ds;XW2&lW3ZSniB(?V}iA`g8dQ? zQauo~A%3!%`|{=~+eqeBq{N7h7o+ZLP-@Dj&2ui?&JDxm`vh6p9JK7mL8$gb>_t)+?j~pMvw}<$G3!;M{wCiMbuT)>Ro*!k#N@?q zXvdYN(`k0dSjp~F1tBia<@zk7xh@e)y20Hvhnv23<}&5?Q?Nn%#m`W^#k8vxX^s*o zXShs=UoP2u3@_}_Y$0&74859Tb4M^Esly{=J#M$mB(&D9Kf`UmBA;!zzxB~)xijk$ zDzXBTsG&XMDfP_->dmqCXt`s9C3o28rIAD%Y~y)HQ7+m1L9b;Tj^A>yT)CaKbH73U zYJyi@v^8qFPWbg7&$QZMgUpmfHdNa4VIKMDoqj$qnI-eh2yK=5qJj^?xS-src2;BR zjb-QUvJWLbgqjLfXoPgEj$clc{qMo%6T^htxJZdx7otEp{>ma6xlZyD2g2r=C zMhNQOR|PhVZ@Jt#)F;%g*Q47K&q_1eoaJ}ylDIGGy0QRoOljJR@YQhYXkg)3$LAml5l4F&= zUkggZtvELZaJUdT)njlE@M&VkjA`3F%nk`uodwtUqXl_SI~@iUIOba&-@x#5Ty8*- z;lD}tFThI@!&fj3dJQ)F;cA8prMk;yYE0Kj*`VqP@#f9NOM?UZ+X)$ki2Gy()4;@5 zcHH7PGMu{cBq`my5r|5VeU~mdF+gvVwn0heW|ihx6P$_EEmE~5#A?5SJ%UFr?=hK? znvKSusv}~in+goC_G+5qT5Za5!)^S+?!SlNPYocNpW_?vZC-PXf5VNc32{Tcti~2y z!mQ4LE8VTcGgc3xSjpe5iI z7fVRv&T=c_kKlC*E_Lj~!19?T&B}3+T)E^zW-DSqBuyOf9>l&M>rc2uF_#J&eP0Gb z6>6~de8}@xINx3runuR3rH@u6$I+@pw&dh2NF&F)mrkQzhGNejEylUViVf=FAXI!t z;qUD2G!vrTTn*Dcew|3RJK5Q8 zGCqX?DF-~`SYchPha#xN%gV*~e5cV2O5QzSw~QP_w~kr1Gu+WH01ZiDpWOEMKsj z;f_+hFJk9oKfUZ%UA!&Jm?c-4OhqtvhR5{?p7su+V3aiZpqbCudfKz z@c>UdzgT({Pd2>V{D9kbEPH zb@TdwtHz5qqh^{1yFbrtFJRkc62xx3yY)zm$+EUDWnK+hdm;7iy5P%FPeuN^_MnHt zu~#`)MVJ(xdwa7q69uBKg9jTmkRg#}3F;r&V+ZrnVlAaE`maG<51Y5Y!8Av7FSLCI z^I9=`X>nu|Oy=GrAtk-bkQazKtoCw#EqOmq;yIR?E-lu6dkpUlQ7Y>(xR08-L^60Tr6wK@g@>jLP%gd^Y33#4z`+ed(;uIbHs@`%L_j~l~3Eq+q!d3Xmq&GongG> zP_1UKV7^OTN@7F4$lZA~1`ED)7Do`ju(*{ao>soUVW=U5)|yTK?TTeydg~qVoSgEA zEO~$VgD1IH#Md3!9tB>~Ui;Cl*4GOQ?6`e zEij8{Q`LIB<{3zBy)!) z$9&SCt#Nc%lPZo5>!VZrGVOnz;*=d_?Ddi@)Gw(|HBG7;*gxiX7@Qt}d{>rG{rx+W z{#_5FWF=$6qi+jIMtr!=keRz(0Uz8IQ7^|5IJLez^Nn3h7l*7V3Glsr)r?Sw2EP|< zZWdwcmngi&Jn;Ryw!{3zPO{VEFMN33WlW9~@n%=>>!{H>Rj22vxt7vC5l-TqoCKx! zfXNMf>J60n@ImC6;u7P2PBVJ8163G-2^WMQFr)Y)g(34vOOf`>_X(aX%|Y)oLvd9$ zR*R}$9{252a@oRu@i!)%avFPmp9y7w=hO=)H^gU)x13ifihd)seOq;4^lnmP!s#z4 z8Qt!{xSh>Z`7gUK8!ix4uaXzMxR>MFBoZP#1uaK(PA5pP!8ZyJQFZE{o6R#|+T8^7 z=7X@V<6V}D&&xyZN@U-;%$b?guPmiUV*;>S>!}+W-gicCFx=R|j2=9@;;-`P7 zrg|(8zlG&GMO)xIbxMh1|GB+DZd#R<@nvX}<=}gSqNp=r^&S^n1JL`~vr5wE^Z%(P3`p)-(s4ET% z_lKE$-h%I%Ae~EhtIbZ;)J)$Q!%Kg&(=`LPL^+8b@Lp{0kokVJ|1kY{_Ym<-5T2)Z zk6)A!y%7fwD~DN}b$ouu8~C8-G9{o}^&4~iAt%T`U^G)!_`Z6QUlhj z#GlfnRV7?{dBx%BZ~rjF`T z4_G4f%qsgY=YABG{pv8}rG4ry%}FKgnsbDC@dVd(Jfd#)Fzw*dz{V`&JLxc`!)f;J zrWVIB*m2l_2kyG3UCNZDI0IX%We@oHee&1o1Uq)cb@w&qT3Hd5f?-)LGX3r(r%N6& z-((nW3A)gHg7htfu#ja_MKU$0Eh5dZ?0~F5WqR;s9&M#2OURSjJF=ICZhCp|*?|@$ zgA0Mu0l4g*T~3CAs7LS1xSo6edh@doe%ftWU}!lgmY~eV@1$-lgwVUq-)7^vV@TI* zVNAmbF0&u1y1E_A%!qO6j_?bc=4JahUzit~GLoysy&9*;H53!)&C&Mkje^YszKfb( z+)7SPvayNlp{HBR5AGJ~HJ>Gg3V+{w>w^~^KD%_+Cen4^`>J@lwBPvgdG+M0JOQ9R!I0Ri519mo zy;Dv-czkz9%-8V5dA4SGC-X`%I#@q^|4KJWjOm_wN+D@`Wl!xM+CmUg)*f5u|1|@Q z!fNl|9%68lTXBw(N4#RPv^pgH&{nL=I=nl$47R0I8-MDHl07zpndnVfTVl$eYL{&n zk<`a%=JIN@W)SSEIX39&>sGo`*dKiR9g%m53QuhSTqSVe zDxpR8h}2e=Vf|M0;L|m#;pO}NsB1pq^3vV2Ns6n}Vk_X5>%iZeg~(!Tl%aMZTrbX^ zdKX<}Fe*oyjYMK!{3tb^QjGKG19>`Q*SAAh*7~P9yxB`h?nc1ISm%A*O*^lVDuIZ; z91s`6xVj%QypEG%O^pi~u1uL=MlTLet=HB>-(*}OdlPw5NA@d>C&r4B;#Bn#K2bK- zvz-(uzp?kP$`JqLgvMy%5QsyDVIFGJt|TaH6K^D9Spuw z@5Ix=V1JxV!!z^jr#iYs5p}K@u+csBwG27P{#mZ5T8X@KCdSu&7V55aCvmioG+#x< z2cHdVX3vW9GK&|T(ky*7vH$w{R76FYAlmxuuV_Vbpv_#^E;pQ>?_Q%IL?`Ko>ymuV zb@rtPt!EPznOiwP#su#UMdT7sSFOuxsqGIT% zqfs$p(lpCm1+{;CG1RUPrcy!QvRhcYLyxT#o#fbT6MtSIzWCc43qgP!5T;x|xiZCH zbXE`aZ>UxmrK%^z*d%?j#4$8&p}#S-u-jIP_@{!b+&P6Hc-eH4Xm_9Y95bw1AM}D2 zWBm*i`f2lSI!1cf57uwDESw9LYk<0NeKa6sBfOwWB$vAV)h{^<)eT$IO=tsvc1ZBd z8phdkY^E8h7GF*d57Y3X`#|nymN)AFcidz27}xy>GztueA@x*=O==W(3ve&7{OM`A zb`i2!f9V4Jb>fVb+8l9|rovfv`Cnzvzm}@c@%#+RlCGeWijaI^Gwx0DTi#|oc9$wu zOoC(l?(e-wJNQg6!!p{kbu*G?vLf7N<&-aO#zS|6?z)%Fq2-n>&OUR}rRwBEM)b$#XpI9?A-(Rdkwt`iA*~&w3;#M!tXY{Bwju&5D?#xD|_0} zGQ55EVq?8yF#$_f-jolJiDpNtQ?IygeYqPZ`<`Lb;@HUaHr{F%?Kd?P5WVhUew%QC z=`{TQV`hSxfO>)DUchx+H8KCPAd%+0*Q_9}knZAh@Sch`f%PKkq1Y$ywE`_d-3%v$b=3RjUy!;5s{S9!-a4+ye*Yg=Q9=;} zRJvq21*T(fv7YiR7ypevq+=i;ptO|KR2rla5QNcPBQ_X|?=|mp?$0^r z^F6=#PsImLz25KF>zUV=sT9jdiFJW1@%(yaWWHgGy>G}*k~kP@TccRc$Ehcw*F2D~ zP-qEj1TsRTF3$u_^FwqoLelwx9PLRl5YV8ekktIJet@^jKTEe^~?kSGpaU+4wuZ4Iz-n`uvZVs>GF3xd|>A>z1Gza1D;Uq zmC|CD_QCp^{00A^0wLa@zc50ti!b{5Y~^7ByoMXogWER0*)2iR=`T|(0x-?}0?IlF zxcGl^KOy;Rk`_4t5MIHj`g43AKq>CYqAzwXuN3Nyep?6pX9(JACbt9qsb1RE7^y!(5W z4)hJ>h(?6V{uA41OWuk-uQhvq?P9v}j}pIEoqpC)k8auR-d<(m zMzpOpEs>j;{4v!5kY%;3AZ`BmTdZ|X81Ie&&JDh_X4oo^4G=r4mner9@Smm{Iic0x#w zDwcL0pt-jR$m+S5-is)k+1CD@>dhAM@x$dZm%(4I-!VOXLL>QxCKgDp&F!20f|tTl z!?`X#6QVP#K1G?DM;*vaCao4)GOKU@eoeu+?Y;$4-WM50EI9`m9u<27a(3e>;_L>~ z%|o8p1eGSN*HTimn>;?`QXatK`m0hVZvP=vCH@eq`hU((z+OwJ%Op(+ zTe}o+-b6p{TEGAVPF*=abHF2ZUK)Dz_pu+S`>!Tf>W(1o<0!uY(I zNkWq@DH7Fgjt^}Sc27^R=YJwxM1Oc3laHYztG#@szn8YjRsflZPd-L!5JbDL-2q6yoTbsvbH}Umb{+fwWkV6u1(YKU(zXnKt1pf1%ka_uAaLjsn5(6qf z5w{ys1112%Qo(I0fu1PuG5Mhls{;r3k8H{G!9sk%lO?aUp6<$4H{7T=OH!+_*Ubgx zU&f~jHz)6&KUs8TAbMU+e*)y%U#Puvi6Q?2s(|@}UR>DFj=>|+UXUs&;%eOV&cnun z%1r%3#YOE)Lpr!R{%>iW#&YY6EwH$6WAH1VLs4=Bun8%X-*37ks`2<;~p=(dO&)EIl#Mn?_BPjfy~J+8X>{&PkdImz=q+Zn?EOm zyVg&T?Pwy&>T?#?8+V+!?b{RZR@ZmjiI}%^?#M^DA(+h&9f*7q_c_Gv#K**KF&`@i z%6K?=^dD@y|C|sdG>2{vE&FeTCUx`Hn443*@u9tHLj?)L?_g*q>7GYblUaUGi~hV~ z3;am-JpddE0m9UE_Bf4G0(HPB(Z6{1T-(^=-Ztl$Uz6Nq?q3Q9`8+f2fom4I;L*z zq&y)@9-+YM&j}G^pK(Z=C0V7vIO0GMMrb)q_=qW80*WCMUCwZY$bfgTl1%Oel&48k zG<^qGTU+bD^PmhlCnV;itBpyDe#4vOnz@VPpWBfFG2LJbpM?R)V0EO(K|F0+n5HJ2_2y9jK=Tv8{ zg=0?*s$MdELADGxyY0rq{AE{E>~Ky$Q}Y*x!&2of)@r?DK}*rvKj!cCDo>VS7oAI9 z*I2bj6;%wJY!qa;deEM${8mKZ*ss>U<&Pkj?dM_3_Z^8VY>HZ(2Y2pfc-+09+-e>f z1&MUji+nVAw8Q$eD@UWQo&J79oWFALfEP>ybetJu%4`-xIe!gf)^eW{l_(z?$s??D zI^}82!_|pBV-BrZF{sycu*@@0EAx;$^429kDw&;yS$}cBG6Og}YRl4|rL^#jf~+3% zl%b@5j&@^0Z`zCp_21<|-$wKXTe$f0tqJ0uzY>FHfnLX5eNy<)Kz}4MIW^R$o1ZYF ze~-U3q>ndy->w(g2kJ3kr7&YdaS=m0AcnXgqki)KIL_+ZT!w?$HK{>QX2_vNap@5bDYj-$G|hzE~r?Kih_Df3u$BGA)ks=lNCRhD8s6Q zwTqHjCvb*l5%$4*{4qVP?oEyBoD=>>Pb6M{Z>wa3w6#k1dh0E{Z{*=W@|_yxK%QR| z+p8_frI|yAX*wc!X6Hfyq!9JNPJiL4FdMEg&HizpYjGQBKBGuLLO0<&;N0+%@s!-bP@iE*KCqn`hp?f~ z;=^$-%kx7HZz8fHY+#%DBQD$dhya-aidAPoz*B^Klk+HWZk|)>ldLq(+4UH<_xdT+$nU8aSFgjHe@wSs(#K)bp=4pAS;Aq@_>SIUO zzStpeh>8!Ib%=5}*6U3hQl*aT`9C%B81J;|aJRUIpXt(I)ALXK$!-+Uu5N_5Mo12&v5F zHoEj$|LjWdah=r04><0kPv0FAAc$&^t+ipi z*Fe4G2;=WdSK8ufNiGR{=N*q&L-W>IMku_YiI__>cL^88hJ2thDDB@K>n&LG^s8KD zb;HoCITL_KFuI?@yp_9b93u3Gl!@LKz3%@Npk9C{Y7Tg6Of=^N@~NN~5CmpZ%DfMN z$5Urs=HhOvExxLfWObtIr!VF5Q#6~g&({|d8i02FiMe3E?=92qgy=z>d5iV5%=}l; z#^Y6u-b-d?3NEMVwBGz=^0}sHeFR0G97aanud|tg?CDNhdUSMc?&zY=Dc%Ud0^d;7 zkkUy7Gy5#A;h4k|O|K!cFhl&{PAEHoV^kAD0z{kA`5QF2=~mb>Ds-1gKJ)eIeRfBW z8g~&?P2>}Lk3-^*CV~Vs5rl7OpmIbwpos+hizWgbgow}CPJU)hY%t~qS?1bjmFCp- z>kH!FAng9?Ka_j zTfWdlrVcEAYnTbBc&)P(>f8_{~;UEM?av4tLAvbRm6^wbVlVZ)uD;el}lHuvUiL?L5tSU)t3pJQ3pz_ ztOJyHM7>HE+Fpb!LNUX$+u-! z3nZn9c*Gszmc?1IH}n?Ogm^P~a311@Bp01L5-A&!i8VhR;uSz%aMx>jOhL!0k&GL@ ztH3Pz=;SNgPtjs>6^_4)S4Fz)()H?{ID6#QBkOx;VU7$|UWqWzq0q-u(N2LAW$g&! z>9om+Y!zA$^IBhXT%${0?!#6hyle2pt+%)>CW3|^Ga#McC$vlW`$ zZ={kjHL%g^xyXpS6ns|Tvad@5G0&^Gp{=*cx?|!V{SRy_*%bflfy>bg@5;|G@vYNO z2ar+feoy$#KN#El`#P=0uj~(yQ&ttH>*U}B{dE@#)cFIy%PT-R3E#f+;|>YfSYYpI z68?6G97;Vv?^o{AyG);3P@OEUU^(B+L*J+Wt-+fZFE&?=J5%XI> zE-4vOoj|p0o7ce+EB3dVKm4L9E$?^rvj=%IMPICDF-N$w4HHxh<&>E7VCnc5& zPisRKmK!2}_JUKzY@XxBIe-5m_L^#OEsDfY{4cONTzpfbszW01WQ8(x50vtz@kMTa zL%vGk)vL|&r-|(DiXA3$jz`5e$BqUM3fpLPg#|{Or%c0uJ`ZBdJN3Aa)r*BMVv|=^ z-flZw673C)GFFcFc&O5;n=WtwBjy%IqP&uu9>%eLDkUGg6F2ScBQwPKAr3`!jbtMD z)bZj)^mFI-8to-)&Ldh9cLPh?ktKxRml-z3Ld!9!z_FX*dDQ?r8me?Wr4E*>jOAtJ+K`~i7AkHSD zyAf-nucsw;ZT5DY5u}w1RM_X2-s(I~iORK)6DdZ$zbSm+?Fj(5lu<`PR3q~Qw_xmoid$UX%-fTOQ7#^Fc9EiPE`9s(Y^YP63ini z5oE&yjCoj5puM7dWO&nmDDnu793lL7bCOYeu4M+hgO)f(aYKGe26sl^@62i`m^=b` z`7vPuptnko^XhIz36CTAPoGVGotXmwmjn{+z>E{&5-;P%oTFDKNkwEzgb`Y3tT4!I z%XJZ*IC2~F3~k@45MoZDSA1bCr5dR~zaKpdd>Z5TD0pIvL{;fMe>}d;f8NO)!uxFS zbcFt|>y4+D7|X~iISBWNL30Dsz+=S_pdYV)-`vS%20B{YORusK?I+o*S9s}Z>9tDM zx$=ei2-k%-uT4+#K46jnB4yrgj;Lx&swio1Dt_e{6|8+k7&lmm-r@_BT zIBe!zynx_hm*X|(tbeM~NgzOm+Q?VL3vW)=DObgWjc8vo z&Tum!f*$XftspNMhW@@ZZzg{~KB!PRRz?hZ>y`*Kv4(Y5`la*tXr8_J1JhD@V>dzY z%)=(Vt55HMjMFL;_%0WLwcoKt0_RbWHR zp9>r}>Y&%qBq2S19HZ5I`P0ZnCh-C7>?g=2hQ5b(sRoP`j1)#&F&AA|%fqNUE0rqS zu3W0V9rJQh>aqt}b*Y7XjbH*xIoGR-)m^q>3WyGTNeU}x$=~yiZUtkaI+pdmi}*=T z3C5^|ji%~;@;+NpQz5tD^wetzrPBZKm+a0ttgO{croUx8UIq6>&kfZf5hB0s3v!J= zseg!WUz>*VB{s49Zm7)Zkq`DqS~_-I4_#C2%N?Uc@OR?*D@_22N3KM? z(#69j;4+FB_rT?v&ZUr$rAJ%n%*=xU(!yjm`S&YAAs!Cv#)tL$x>x{bu~d?nh%y)1 z9q5x{wmT5r529>-!B`YA<2g4{`ga^wCMHV+ z&Ncx0BF{hB<$VW>bwE@6BTC9+8-2fe&el>LLAW)lZwxz5)AsG+KRLI5a@NYu0X%QJ z{4JleBhXPzTY1prDbP#KQ^^C*WMWykEv#6JgtarqhXtKO&r zp<|?Zn#~w{|29{eJFJFHn_LljLK#Z=yN`PjYZ?bv)@|l`xko|j4`$8hO&_to%YRFL zvonG+J~i4IitUh*?m|R*r^|rj=tCZg&cES{JDGy|cr_zWwywowHpxr<@hDo5nLKsf zVb5YaL6yI7N%pXFpI2I$U;<&T+CWGW1S1>l(Oa*AgzWU>3_UB_PHs>AoJINZ+aJCGFp8un*cYl)*rWUi)-WZnYqECk*&}__L4+HO7~wlDmqi1 z-k%N-^#k76fFFj2pHURMFdwim z08@bHvS{O}=7V>mBQ*|3B4K@As&DEg0|z{9!HrMLxn#&E3Am8ma=iw=>O2$YzCo^fh_9$$M9R z;SMDE>#c5LsPZzg z*`$(X7vdv~<2Oy~>j`C3u=AC60{s@eg=kgQ5MoeUegg^T9qs?tP3&NkZPr)MN^;b( z{CVSL7c=Pa;?Y2K^v=&ki*}Q{+FxH3AF0CTi!zgqzVtNd5gBvTo=6;hp>H)JN4=4- z<9d?f&E2u`Y0oa;{EKHAn&~DlGSami)FnmTo~hq`PVl|NPICP^FF|SP{Bq#+F{xJa z`g&jHON+;hUvzx0y)otYWTg9G?y!*CsGk)P@6gGI8tyiGYr&WjYtGcaii7m3O}uO|9D;0>oFAaE?}IO8Su~GelbO&Vlzs$TyW)4 z3M@C4deo{2pYpi*aE18ZjdJ6)^oTr1Z~q#33=hf=deX)#zAomz&| z@a+YJDeN!k5}o{zm7xAGSSROPGwDO7e%H4;WdedNNlkUV|wqp?6?-KKDXmFcVS4eI~|FC zCa1H?y%ILmwC4catSZG9+FTN&NW%Dqb20TFJUj}HY@Ok^mztz;5}kL*WtgIT=ZL6> zJmoumUdr3O#5q!*jpyETipz%F$}=!uIUn8bcZ&0Z5^~KbJT7sx-E!9wdBI&TItFz{ zNzCb6Y5wQAT(rk3$A(10Rzwq*{uYdMX=(s5gWefGs5h3c9{xGBu}Q(LetB9$<~llD zZ#XYk-5yZ1b?PbCo8z7smg1PG*ve@96zZex;HEVj?|{Zakk8ykiM`hRbJ~dT@O{3B z9%QiGc!Dr$Pf2}pzQ5#mp?|eCy>TB)!A4*$Ku6fOD$xaG9wQVP`f_&>7_K(btsY;> zrz%8W<;QOSolf|7!a=mjlj=|i*>lfQ?Ay-;3^cVJS5(5Wt(W;ZH0VeHFJYDWQP6r1 zur((meNRA6**tqWvnn$ang@+Mws)pruLDdz-bd#f46dm|PtsZ9N{`9;M>K~j-W>2b zIQf{$6k4?{MTC=0UK7yKN&DuKBI@gAbAI&|-MmAhA}Y8I{$Q{4mxm$8NS7w0T45vg#%O~k#`$nLXA#k^DQX3?nhVJesyVUGPJ-6l5=<1O$<|j@)v_@ftv5nnpZmNT1bQS z%XsvQ&LFHT!78R~YyBEFCL)0fnygLQ9fY*2HEr?i2sB^y@WD#Z81Y0=Kp=Gwh2 z4^PwcK0aHW9pcya&4-a@yba+Q97r_i-`7^t`Ut(hDvs8VM})Yxn|uHVsxP_kcN&+5 zm`h(d4-d|9&s_36G)2DxeT%K^IM7z?J~?1>sklK>Xj4Tl639top*5 zf4`?Wf;xEgSu;=HFu+xrYaqu(R9Z2&7EujiDvL{%e4!Abl^uW3E8KpKgXd)!H+Bn- zEk8h<4L4XB#df{9iEDbRT1;dc2ej(s&{OPNu0yUSWXsrRz=?*#^D{f1FMngxCGzTo8=zRaft(TiLmx0pR?fA!+|6f(6z-~XVw@9Pt zn;kWT#oCC!;lu(k43UN&SzG{{p72xYD*+!t=#kQayj4I0VVQ=k9INsQZS>>e5riM8 zct#p{A4nIOz5v7X36QTI@T;z&jsvb~&+tVSE#(JX!_gk5ii54vKx)Rkb2&PnWcPak z(80Ri^6%ur(&2@KMid1Y)@?HpeF4f5%{*Mp6M6WrGGJX-Y_(*&{k=9^cWuPReRLFG zRXsXVR(K_6Fv@(GGN|(GDS*rNtoXJ|ij}DgqwZ(5Cbr2^O&AYL5|~d##R*dC$IQXJ zmIv6becN=YTzl-lMrHn1cBxw?u;kWcDO%|U9OMLtJ_nV?sNWC07qOEy3)fY|ig3qS zXq`974Q9sX$(Js1$u@JlovUB9#fhJyZ z^myv%Bs4vfCV5<()%>=lao|l&rR!3iPKNM<@$7T9h&U12WkW?%cZcscs1TpO%mwLrAwai4&iR? zVN45j6(zRym(f8gDGq0uiEK?@$VOnC5&q&@Ag_w3vsI__PGt1Ppi11m?#%C>CPGCw z4q`w?xc8Zqi^Z0>q_*=odHowdnc`;9@edW2q93D)Dsk2-4XjPOqDS)3ZAy$ly+Auo zkl~%ig~_o=3ZadlJNrzb!!8|u>7@)E`wjBk4TF^{t6Cc|B79NIY;RjBml%d|EF?M| z!OR(3@~Nne)vCtjHLt@b5-)qrF9aM@e3RU#F=Qiag}a6O88Mn0xK~eRjG(NeHrR>X z8~Pl31L!bv{-yP=G2Jhkl&SI*>fhw4Rpi{&K-;vWc=_R1j%zk|T`UM*Yu?{1ASA!E zBBKeEs@#YTX^Hl0-BkrDDubuC9PV{Dz@3o%cq||{rE%;^;j?e@dz;D$VyzU~jLE<+ zT9%`c+AiO!n=JA5<45D8!H6M!s)dgKE19eaER?IyXKQ8J%a@y_5^fZFrJs~@ijW%XgDvIbl}$65 zXh0H(PVk~KIx}vuVAm;{HZ`XIgjai5Kt-db5=NAPRKhdrm;YNTVUi=_un}~UgHGy^ z{`gPVmtqxevXke3;4t-o+n~y z(REIKfwQOU8Jfy6fVvUl`y`x}k8)1fxywlXXqH^t@n00(!3`x=ls+U!&t1=fh(^a@`qj} z+c8cC)f9&W;x9pcd7@l==g$4Uo|3rRm|DUR~D2F<+Hcdvi(mGks7>gU7=_6847O!|O|mVTGze7I3ru^U~Uj%HSUg=YBx7RBl7w zTgyOOKt@ZQIVX$6fB4Vd3Xs8K1$Ykkq+p5Nn>z(Q*7x27hb*L-*f5)wnr((G3{oaJ%T88?0ENP z`OZyd*F)B$q|UnEA+c)=?KS=?mf^}ct8fJEFLr2D1_3!fHOh8Uf2yTv{>)KRAoJ0K z7A+;5Ji|K^B4%`qrS|PD>0Nx;(zS%WxfW|+x|O#X5?YRcc+k4wfAJ~Xf1jEeR1!q_ zCQDpwEy>%!vlbNh9sx)yqxL%u?eFV6d5_<1q%i*L#14>CWL zG;?rZdVF61nLDWMIaoCJ#8r5g!w&6K!Mx&-*zIp0pzVy-&e747s%zj!FqrZ<3Mq@h^!r%YVfm0Wd{Q3wY? z_3RODt)7Xs9prntU*8vkMDESlvu&46qs#0$@VO{b^sRfYI|9%ibTE=5tkV@g9^aWD zMIVbH#TInJDZxNCv0TuC_eJAC|#9sL(a{5Z}pF4_5NKw4;= zqjsl#7l{q6z1qF+B|GC6h#yLq)O+Q{lbh0+C7TJiE75v&bJZ?jCFh(%n<$YjrCv`> zzv$$yx|Po$e-c3^7JO35MO$%UxEBZ-fxx2#GRvAj#{-KoaAf;krOsKA)Nu&DP`g0A zPhIVdhfAqfxSdjd1VY5|Gh>+V(Ut^8xzXpw4<;HEk*1pA_Rij@_V1QQ>|PrFnJ2i( zUrT$ka~ejFV$r{L7j)C)D%&Z*ThRx{Kc1WQ>G!&`wC+4-izaiW0dK$_g*S!7pdw_( zWugY)WCcR>*mTnymFgwO_na6*^bW0mrS21)^6!##@3$+IPAct2;$`WR*F}wu^t5cn zpLMk`?r}Nj!>P;;w&&!x9|VnG%|UEjrt)s+z&bBMQjRwP&90&uJ>^Qe*HdtZ(BySw zX=e|YoPT<`W$EB|X)*fyG7A4|Wb1*ycGzm1cW`yYhOG2T`6NMCd7|4W$%?Zuha}^q zIREi)am_*R`HE7jid1w)>Cs%v?_mfq0zrxfDL`bS0(|KiHjUqI-yCL+6mV)1187n2 z_H#bIXvfNZ?<~2CXs|+JW;NL|=eS!8^}O?+bD4rz9YVZx=FPF(MoF{d31w8SYEKA#Zgz8kLXEa-49x zM4N;0@lqwhG24L#0gO)gZMtu~>!X|auu?%V|4l2fPG(yEKqhiKtrFhiJeaw!H1zcL z+ei1;?vH!oY%3A&eM6Ajf!u0}>Ia<&{ z)bl!>=WV`eyP5LbN`*#_-G=Co6VHb}Nbm0;KiYXv-Q1@k{x)TB1QH?mM0w*g$c{#o zKJEpfLwt$-DT6HNt~3&Q`qZwdW};{Ew^qGxU?M{s<*+$4)ifz8bH&GAHWfN9qY#rT zyPj=D5q;w}Ws%{P1wp*^mKGG6g<^DmM0uv!Wkh{qRf9gya}g2RvPKp()lWZ$(eJlR zox#Yom0f9X3y|*zk1&hE;$HknpNEio7``@XX6USKY4Bd6yc1DiYh32hi8!*4NEq@? zvF7Y9`vlRbihCp!)gtkPapc$c1F)y4m$WyKb$!yV#9bB{)PueEQ%6~p#Z^~rGpUSQ zo%NX8QG_-M z?FQk5#aEkW{XSKCq3ze%)Aue8!}V{hC>c~$fPwiWn+1@PTvs21ujTBSK!C$&UIR){<8Y8!B$83w!tbKo_y6eOWs_G;rbY+_ip;{ENgD@$!)I8QZ1g z;K=z=n=@#j3E;U30p&Mtqs>=hd_FELwDkreA|baVPrX_}wpRG56XRgCfSRyi?DTUp zp`=WZPUaMHST-w^Bmb?vlhq@I3z99k-P%@nuBg zr*QcglLP+Oz9p=<=ckJpq6MbDp6CyH%qA`IBM$rC?N*UPh%9XRNt4c%V#v+sC-SQq zx%>{r9T!LQlj(~>(`ncOk@4HwJhMm~bhe$Z*@9=5eH2uf%Gd=hWfwgq=L^(<96cg^ zv6g13%s6naOxaavH-oHbE~aJ$7Pt^QgjwE64f8~f=CnH|maJv+j~^3<`Guk8=6m}T zrf2QZ0^g)I7Dm;3D=`*<5-yUL=AT0ZVt4rzIw(90Stucvdt`noD}5(GfP=IiG_}Yt zQ26HTN_1g{5Jj+K`>7tY5qve|)oP#^c-)m|7B2Ez9$xwBIW;kLGu5+8aR{*@#Ruf8 zHV$H8$dzw!!-OzVLVIvp?iPO7;A=HI;`M*1aqjtr2j`K4GaYC2D70|6gv!w7 ziE0!;`nmjW`*sS{D9(iz?f0A`G`?>?WwmPwxU~22?Gy4y&^kV3ysw?4>&Mone6Nqi zp}`^vSQz`l%1bOunRC|0xU2TGR7p#UKoW(p!Gu(VPig_f3@-F93fuxOdB|n!;{MV_ z3n_kh8h^&txU3dnj+v<;TF9hCBYJ%~no)(Ki}q7Bx%S((fwg@OeL;y^_j7g)>hl1^ zx1oIe23j=}T}?%NUDSe*nRev==Lwhj-|`~=TYIz0`A_ZbM^%2*%o*dJTyLmR?XC--bM#wTMk#F{I^=(Ttu+`>C5;*qMv^rY-Pm;=khu92ca#UG6p0l8B zX@9P~iHX&U`}qqv|GjyE-6#^xNAnwLD%?z*+VQv|kt<>nAHT#YtR*xrgII!Fa+RyD z9ry?w_)DJ6-^eSLr5GAQAEZ0Ai-&REj|?AL(3bpIUbWACAiN^H?y{&XNDB8ikwl1?2m6 zD`Crluh1ltZ?JUfG1}OWP>?|EUMo@sz31|cvcN_zL4de-K6+SfMV?+il#MzX<`*cL z2?0qSW#78yXh!~c_zE#U1|A%dW6UW}Q`b5z**^m>mAXKgU#pHUw@M+(1l-FH{CK5R z;0ogVSat)eVxS4R2h^Ii?|f*QCW?E*w%vz*+B7qYL7bsTrG(r?fWGw1FC#;j3`BO` z)UC7HfpPKHZyp!tN#r06dc5b+2+{g(o^<|shd>hvD zOUH@FvxO`2js!mAt9AD;r}{mij%28SsA&@UeB06MKtaS+3zkyMFUWTT;tflQl$P#v zyV7v7tHSv6F` zd9Q?xt~(HqL_^bNBAmS8pM0YlL8?Q2WOtL!w2qfKINLah@UD;b2v@FMb}N5Omr%aX zj+hVLgh*l!tr+?yPP~wf_z9vC6I9ceFVLo-Ky6d_Pg>9Q-0E~jjQ@#UL0t=re#64l zHmQDUN6>?%LtqIE^_~ZB19YC>?b)IJd0x-&8%|Z2w#0OY=VxUjR8A7(kt~fA?$rbG!Xt{O8}l z&*DjJ6W!q_i%ivI4%XQ#;++P{PflGqoR&q%R*1=wMY7+7)FuumgcTL4gG`hyqjJF} zg!!w!Kk(o5eeX;ge)P+)`+WAx-kh<0dp})UXphC}r@}jojON-!x0x?NyDMYdcDX|z z4@@&erAUQnsmUA`N0f-E~reTDZc zEiUey@(q^iG&oN<)S1`qbq*WSgJ@N7G=a)jxEV|%p5DDHhJKZ=##C35bNzbl;^_H1 zT^Vod8iIV^pC)le7c@sJ`%B$4J$@9#-&o_&I!>m~cyse`FDY|8?RCc3E{ONmj_jt* zd3UiTA@sBT{JO(e^OHK&Pa=-d-YGAtFWEZ0+3!)zCQ=1)64^a{7)mmMK z|FO__Am7FB;bda_rx|2iL+=Brj!&ZRQzW^GzJuaVtJ@!mjMzDg=*1=XtSvyFM+OSw z-rtZofO3ImGK?fcJTI_sW8OQb+tqsz*&$PY7?^G&141$8-i@lr#N)#E>BqMad zc}T03-&7Edi?GUpray|7KvD?ZlqO0%v|;ea@xw3e`+E|x2NWb60gHDWWjb<(!I-`F zaZTrotz2hIp;@IQaY|G&IkN+(t_nE_0s{&5v5^4~Q!mY2KUI)#`{pSJpgV%p2a`kv z$}^Wz)1rVJk2}WcZ8(+X0YbHlW-zWOj{gX@QB#ceV9a?YR~&ejH!+v}y8v!3PI=s0 z!qSfC2z7(+z?!^GUM^GetHspd(mdq&jfa#$O(is`C zyVEotUg>*D`n;$4&fjeFz6C#9iidNT1Q?T>07Vf(0*PtYwFA`5k?;Q6UwYz^ZrV-3 z-b0@+nMLgEgb?HonJsJ$F_d%GF3?E%H%e#7+F(gQYxq9%JhzKCLV+(t#@fQ72yb2V zwI`=y9uTYw(s;%blsqvP8D~}%PE<8A8v|~dBA=xfeQc^ISuvN}z)PHfl%~ow@f{e8 z0IoBCpcLd^n!5h#c==~*5_Ogj{Heoe!5)P-NnRJ);E#I@e$mdJ6JULwcW?I;cpy_z zWMlB~#Un|9tFzp}!sxe+G-g_Tk@g=No0i)T%{>FtkqXeMMXgIJ&S@g$ z^he1^@<*)lukfWI+v&PhXhhS0#Hn}pfnui9LlL_X!`bLw9! z^7lygZLrP0;a2%ybhO+dZ&uH3*m2)ydF}@SwLtGuk6vtN|b+ z5(s-mOpK4_NYw}?jY&GNd5^sk9e?r&fkV>)@55Yaxo4Em5?3atVo7td^q*Y-3H{|i zJ#G)N3AcracdT@=_??|Z?6eHjBCZ9yK03h{+H&A$VtfImx2flEN@vKvF%)E%S|E|A zI4QlPHIItrsbAP@xd!fXtul#wXA=6`j@Z?vGcC*D9^T|nsCcvbu-_RTpX|gc1V-mG zB3yn9x_5*|r#EyuPvpDK-Lr|Kg`UnB>Fdm%x`eKLOWCc|7dfMTJ|J@qWh7?*hU0qI zp-JdQOEF<^#{MAK#P|JjRx>GYr4}F5bHizIl;5VNG&tncL`|1);k)^;|kw=cxVXK7Wv<%2X7ISwpD`B7JZcWN~!|0OyOly^{x zpZCkEvbX*)vM&Hew&vgt@{Z(E4LOW(MsfAN=wHF@WcJE8=2sd;slFS8d(l4~pyyuSVhwZf!z$X)*ixmU}M~^Oe4q|Hw4W!PfHGRBvBuoyu z20<0pGqI*&x*Lat6|Ts^%S+OHcK$z0bF?-#UF_~a2?dpN7x&Q~(dHBWzM_pubPdix zF9P8H9DEY9rH=nJz^2ub7p(=09`E}ENG#2Nnw_Y#6?iKT=Dp>iUkwKvwx#@PC^CN z*@@42DbbbOq55Y)f^VcP>o`RTM*M+U(bvba&)P-_onH#|<~kR-e(I1d)N$NJrqcx! zdbU$x;21OXN%{ya?i4~FpR-jNqiR%YcAfvu1VC&kS=j|-i!;uhtXKZxKK^oT`891^ zoVI|BVTee4TO0OVd+N`WBLQ?OXGS>-FRQ%XWo4R7tn;_`(w2Uqqg2Xwh z<`vj86?e-n;!1qE^w`p6#gdip585);c>L!Sd4G?WOT??WH->U}eEN^I8D!ghdz5J)LE{OD4zWh_h4|ZJ0r7i& z(RpHSZ{WAFD3KJ@ry?=3lyBi62)q<(Ra*(m=JqzH^TXI#asRSXR7f@A+DK;x{bghs zB%VIi)%W|eLl;5O2*l&fDl({=d~gwrROM?DF5FAZpQuPYRZw-YEoojY}!{Tpoq% z2*<2$Z_=o;V8`iJBe@GuKG`BXq__EFWZ27;aaBg z#|S9#Z$G2nxb)DJaBn06v(&ZZuPDXe4gkL!*KzNfxL-@5Q9;M%1U~$L)+=5& z(0EYtA??*Ka?Qk{mHJG$L;Vl?OXmjfF$Q#YmzJv>P7fTvGqoH#66$s4#8x&C=pnvW z_QErt5pKh^fwwhnH}T-39{IoxKwh#?n-8P zUFvHQqjpF?vm3p(M+bp;+c%O9i4{2Ezjgt2CyU^9i&O|`qhERCaqaRk!1{!=ZS`NJ zn|rPv5D{K5_0mi0$!^TaYpl;N0Xt;8N6Q6*vGjW`%!@ty_vZX0cYJJbo2%7%cbFDC zoAx|RivG3_Hb2!Qx-9kit3c4}uPNj+h-3gn9#m*;`p4PM?A_Grg zJRytMpvgmseX&J@3%A@Ls?I0#XNM#&uM0mL$sL@1?|y#&f-Ed#>3afbK}tRTt+JX- zNXDSpGo7Cp-5Vm<@mXa@$wdfp{pZ0FYWt}K+<9puA?HTEiwS&&nV7H^xvjyu>|r(X zkhI6X`>}0OGTptqARolg^}f72{iC3IWam z9Fra#{lD49gtRML=-NWmwc;;t)X;h+>}1J6Wk!B`Fjcth`1ve08wER>Gi=Y~L({jR zn|ESsyHbIA2qqXQgvc+54Bv`r7az@c`vQrf_xo}Y#r5qGx1DwLPxi5P@tJ%?KL+=1 zGdA9G_o3k&yXGOYq`U@Du-)1?gy>3dqvNM=b{0mlrIEu<4p!OiJ-q8t2B&Datqslm zOjqBG2gR8+1)r6p*aR_31QCq(six3;Z24x(k+L<gd8>d*#+kw$E3+mIMq02OQ^24SbqSyrGTzUL8rG(! zpr&j_(DoMF=6^DWfd34ic3vEL;G))(z44~chT6{sQj|;q`sW`3=|q>P`_zR1b!@~% zwdZcjHAVjR?cZX1?h@PWNIjh+pqdvuCUh}~`57#L0a^QqlbS`G)#Zp+d~k}qyDA+u z(%Z8|)m@EAdF=-#Ipp{en%PGIKr)~$zck6pNdoMN8z`eTG~NqnqmJ!sRA1G9DSPWJY^NON>#f=VEwSUQFy5GE3CYqlMm}u=*1ENqFp+}~ z%D1(yUtj2w@3@>eTYq1{5ni`$De3cYP;ywXh$V3H)Z`ekSx#h}DK6L4)mhu$E_p{| z-=I%6Xafp42oGXCopsdE`{4m9U`KD&3{O{u){`SHnv|>hF?*k zy}9kieEK0yv5%iKjeNnMb3_KRTiC0=mN)wOOorxE@-;&kn_c<*e(nkWk-jlhm5%M% z&<_=tw8C_)j+`ytWk7X7`F{V0uJ?{+JAV8BYZpa}qE@PQYgSuZC^c)9R?Qeylp0l= zgqpGUs#%n(S$jr_Ra+Icw-~WSM8-G$-1mLH-}`sY@4w`ncXE=P^S*Lj&+GYoye9ML znE3LthEw%t%0o7QdJRM5y=C2uAI~&D+^SwbhwD@JKgc7j!aF#y@lnS?(HqkWKSj|( zeA)OY@Z+lTw)4+wKc2IXKuxGk+LvaTZY1drhLtu)6f*>T;J0}~nJHqt^Lp1`j$MoU z&2#40g|(0EemmZu#3K^GeHT=M-)x39j@)u5?Uym#9{Ka~>=~m>4OqtcInLG?B6iPo9hot0aF82Cz z|L$K>o3s^JlJ<+;bJ#cBhsI|#{F39IHY}1_1!8-?b&#maE7{QXjA8Ji0@=8~(vTm3 zXE!|=v^$EhHtm(2eSWf?V@au+lg%_9{RuMsDaFU%@p=oNPoApR+fhMFvK$#esfWS| z4;;^zyQ*>@pFiI30XQuebDh>mebtQt?Z6V3(JhgL%kvAH!&QJ8wwHR?2H?zM-1)Ij z7^CZyqP$v4oa;SPrj{LBHV&N_&14rJornMB`?8gj0CsAUsonm9U-G_OBKb-X{4Zwj zs6LTyXDba9JVtDn;+w4e8DgI$+bb#YMqS2xB`(KB-XXL^Gv z2OhDYhS+J%3zVZq&n&vg3B=&8_DL_nGF>YZoPV zVee`i`)eV~FV6mgD+sOuK}~Z?fs;PAkSl$&^~`OaZB%=p;yIJ2=OWP|4}@ZL1^$(k zgeY_D7W}sx5eOJkc3J+<_s*rdvWfdjOm>HeSs&`emy}jQW*mb#i~lh;sNkP37-pOb zkovZ0(M56CnN*?8?|tHY^LT*$J0#U&FWtd*s*ra0J3RTOz#~) zg@kzKjdbF*iiWudF_VI$L}bhm&wrxYM9kj*8`b^~%`)!)H=j95l@WO2`pit&9Kn1C zb3%eBTZtZZyOx5oM0i{~rz^^+2Ea>DR(Uwe8zi!~LXQXC9`4PZ!}Mc`V>%KQ(s0HC z*W>J=_RT5Qda9}Pi=OYITkQt=Bvu0d%RhmT$R5a3Yjc@@b6nBkBfgyG68-QQFdA3a zbF)9;HemaYb5{V$YjT#Z~2(j9i9*jX&+5yunwI`FW_~ zE^Iaz#2{g+B30`HO$lCelrtt8MdeeEXT9@)po_o8pz%jqp1l&+2$ZknlFdf{!OG6o zH3qFzAIE>7q}ZYQRyqf@#CS#7P9$JS-0LIIf8f?*(3_j>$|iaV=odE_1)097gV*nV`Ru=GX*M1qkyN*vEU7`&p9`j@ zXlP31OHS8(!RM#Hv_FpdmH-#h`@7D=72XkQw5w@mem`$CBZT^`-qTGrxqbg~YwR-fo-sx~jF_w3poa*QCok_xkL+k1I15_R%-eVtFna z*cgmTQO&L*w>XlgC&4u%F%A;qL9x1dIlI{}q&ugocyVT>R_PFRj{BxraL;50%OYR# zQnWhXff$W2<9IRH>=!0pp zQh_=_C9^0J=w(md?N8%g&ee~&casm2;C^~VjY^wA;vDA$#xJ3ddk3@7U!ptSx!Hj_ z1-%DaWT+ouQ6nZT(t|qVLwBqAJgS6e3-V2!{gM&vB(&`q^C$mQdONiWS&va-l*{|y zv;PvAFK@iK;0Pk}lOW-SKRfoyI|uCyEWGsA&VweI{_j=3k)H=S$<+>T6=3 zVQLuZrb1`MUK4moO*D1=gWF~gYkX&JQzL>u4a_sXYBV~#e{3xv##8^3BVFgkKQ#D) zZ&5Mo^*r`(R8q3rl%={lJIm4*@QP5pWGEo}Tjv*XP-lc_Nfr!_2b|lt*-W(I$qDW2 zn>-#kze22NY$Cwles4rq~PyAg~wE_$?Je^zKM(Bye=8?&p|F*>JI}as3|)aj-Ckurzw*%jvv6t z?E?boBOLAxqhIqAt#nNCi5E+>l0`@1kHpt!J}xw}nmmlpu=u+?R|Q079XHsc#) zLUOVwxS4&oAN6ADcR550{`FBac=NHBDMMelf>nxwO38Uqlo{=~Y5?OrWXFVGizr^c zQ5Y~c&vEPABA<)o_v0enyko$xYxDGx(if279fqi=v6n98t-I^~HQz0bB>%*PJuizz z1(u~S_=t7r-z%2JEZmPxf#1^e=ftQ3KYY@>mc17#a=-%#E9{|8(hVt9n`7mOyteI? zi^?jcx>tOAnhyLkKXun6Dwn0Iw6hj3DUyq3>ab>Uahfq@g~=cj!UVQS*EiCB_Az)5 zw}r|LxleWYGlht+epA;%Row%4t?u-RBTY)}3cKg=We?Rcg zmd%aV%aZ!P-71lW99Q7iQ{73rllnZP{NLi5H~piXFRAN29_EoPrZUY~59M1xRzF;z zmO8h;Qs3Hp(%%o3GS!$%uD$;Gv|+gdLW#aXVg7J1@l8*T^?GYp7N^BvX9jhatm%Qo zyXy-#+-CBwZ1U*mwxp1SLn$i9)K6}d>;d&s`)bEW0Th~~o41c!!0f;P39aA2596VY zP}PH!YQ@+G`Xcm?@>&>bP5Q?SSoY7S>`<<;JkN(&-)sR7o(4vLpQ%iFLsR)0ozh7b zglzR!$ju6JVP<<<;ASA9pYri)lh#=_a~+bLs~Z6;B^ZxwYvy2M#oZA0Zh$rKB1_pv zK{$5m%=cANovX~Ff|$R6H~1USVihK%WSIu%!R7r$l%N<2w5!qP&8EMz-7B$S`zg*l zjVqw(;-qn+;<8;jjBP)S8wWxrjK>2m?b-!U5x;VTSn>1YL^^J=E7{vG<^MxNeH8Gl zw-lX1-*07&kw#n0mjKeFe%+l%C!ejh6S&lO z$!h}xPJxvUK$D*(whH~@mDe|0iSTvEt5~l+{~$KYet<{N9&o1ijKyMAfBXB@08!j< zR@)A!V!%DQ#2y{BW1~(d{DgMLM4N4u`B$~1>0IPu8;=D_?f{yWq1XDSP6B2|@`KmP|# z`JY(G-~XJ&@ZXtQbGBuk-Gn4QN;oTf9@kL`<%V0XUtt0LC1d}Evu)3EsPMQkpRAL9 zr@G*JI%xLK*&=ftky8uIM8(uMt~(P?T$wL{QuV~$?A3}0+^JvzJCu4GB5wmPQyR1) zM0d)E&D7p(mXO#RJP~WMGkR-Rc&%5fe<5=cZsk|#SC9<(B8DggU@LL5w@y7YJk7x^ z8bF9lDfkGsK6I^tO5msR3-Z97E%+56b#{X4YVzK>De3RS`?e(S(Bv^7Rq8a~#`>5m-&wu^>Q!WdJ?y$o zWsx)Z?k+=dEEyA!eMcYbS8xtBA#Bm{+%F0V8_7?S_ytXu1;v`|+2;_V_ym)4U(1U{ zJx9EwE>gHTWJ+lZ!BWLBTID_`+Aep@DkHTGaF=ywdY9ijFot8!v07noG-aa)Soo`> z)&4w6n#(M89QONr6UEaa87BtbUxWWqu#rKkD(|R*sXOBM%54F7xbC^p$q%KyHMO~; z->i(l&sKVA-)G><>GFSu_Llr!)~<8uvp?JWjT@pp85CVy3x%u!x2{2*`IzSt-aNFT z7-^OW-b~2Xlu>)^aD>B{5A)_FH-3^vxE=G^0}}5Ik%N+p)d}>9Yqt9YP5J5{RdCzn z*jqFEw3~dmLLdmav{Rj;YNsICnf)NVX`iRF4fe5e|UDbL}a-=YGcdA>1;pj6Jh6w=d(hG3mJ>svvF#E+sfA-H`bK znLIUM(Y#HryRi}!b0+$zuyfjIkJU3GY$mY5|9UpcXe;pJCYvNNc4eVio_ys~@i(B) z4zTbuPurzt=HWrd%N~m?`N~-(eI9=qT;^2-g}h&!{8jfH} zE1zPO5>761!Nj+teb4^ag_NsA&g*EFy$Ox1$=Jg^I5$><)WKD%w-f!jV_Tome4cYt zsdkI})tUxl8O8E0!=4q*c|PVJ5%u}H-6FK<-%%84{}yfkxo14uLH{d8O#hS%d-nr? z|G;!@O-nA*__zO!`txd%hLOuaq6y&tbru->FK0oKWz|sbc&(66!8+-ci1>=@%fm=H z3+O+K9??qP^yJlciS(yPL}Hq4?(*bV*n6R#iw2^Hz49rpMeto$+v_g+x0L6fMtm2Jp2)xV`{_fW|c@kCCK{mT)D8UxCR#P7FO zF@QN1X}AUk-Xg5nSDikf36LC%3q7?b?mOgBI-M6i#K0Kg@;{i_qPGjElKzRbz#U1k z=~$HU2;+NT?e>3h#s7h3iFh-)Z2rRmpS7KkCL*Oj&Rgf-%JM%)x%@X;d|5jX{n>$E zguE{$e^uxCjWA~=BUAJZIO`=As*S%p_;`6zD(Poq*|5KSmD;+s^uONlh8^d(hOtlu zcU2!u{@y(^%ZU@~TO-)}!^=|(peTj~`1iY4>{9M?u0_aktDZ;-c>cplt@w|LgH4P& zzl2Qu^{1LH!xdwnCu~(W$E)uoRo6?W|75<5pb^`L82X8XaNUlZrZ`oK22dkImRW`NmsAubj7xq(vU(%puZAfxt_d*$*xK=j|uvS`u(hn37jDbY1 z>k#?m_=SeyM#EI-7sT`ByG(!U25W^ojN_BLCuB9UsSH59?Nu0QQ^TKYf=H6u(Crb8ZFe_l3gmI8Ho1^bza zheY8wx~i`1k4k(+Q7y+BY#Mxsf6#>l61;AG*n~03ORiy3x@{9ZtVA;N1Vk_v#-+z z<@=8KTD&3kbruv($d?oDJ_cRPbar=kI9@aX*CP6qRIr&BIda-3_wXaT%>_8&Y}qw% zSDpY2Qz&bC640KfaOk3&k1TO?Rj|K)nq-u!H5HLhka0?Z_`2&8JizJg$K+#QO!qQS zbo7}?)s`^a$z!JT!k+YN{q~HA_g9pCh!f&U2A`KN>V5{1%pye3{H~*_LETp>aXS<5 z==0W_!q4eRhvx^p?5jN=12f@UFH(OVd76F9d$EW%0><1&{D9P7^zN|r!zX4?mGA$t zdGF*?!_ICY$fXV@1-(yK)fIBY|7%|eTSUVj4n5pnMj{)&3oQ#Z1c}1utvu#4xGR^- z5`waW%mYe_z8rie`XEM>V%rzMX$tYMs`MT9^;tskahLps#xN{L=Jr0DYY~^Xh9_Zc zjI0tTusG7sJH2jg1$U^#s?LPsTYu;4;73slf1g^ry2l3^jI%G@uUxd1?u>6onQ(Ll zVju->^?Uj+tqQor?+e0zBiC{5t!E33=8!mCp!YJ1Nn_-vcJVOT$3gFK^sYaGl*P?p zcfS|a-?j^in_5os{w{VD*R&_o|DR|zZ6xtXWQi;d`$0h*y`i*h{R5xfPEoe*Kc3|8 zCHwGPZuPL38K0?7{;hf=7PTAV zI0QSSU<9gRE|faEHkt~iey`2XOU?e>Cj@`IOp_YfC3!v}bHBYGa7gCFZxC2m%m(|c zd96DElTW3?+^upb{Fdw(njQmW*3j)s;T8qE-N|a2)xQU?hQ7BjOn@D;cG_SJyNXYJ zMy@zvxKI)TAMc6lI9f_aE^uv`B|+=LIGy@wVSVj(Xs|Kp#k)nD*L#_JH{~{Umt>+m<-sC6-pNe zDuQC3#CNZZ7{;%!z6%^@$2%cmKgQ*7Id?S)(*cOcF!sn3m0tsXg-z^kO&S^XPU!H? zM%&NL7FVlzb1}!DG>BbpicG5DHT6kd3~#>?@(9E)-+&67Wo8=b9B!Gw*TM$18xB)d z5QBUG#th9IX!5IG>bRY;SjjYky)CDfhkd}0EgZ?6k~+*>$(wLyVt8-iw$#_xCMTcG zKb3d#_PxaB?+MP8IsE1Le&&phsZDXzl!r~uTYok&t^>J$5D;`UW0Qg!t-O$w{DsSI zAa-zkexhks(%$xyEY%`;!kg9FjYE9pnjeRrR%G@Wu6)a%e)UHm@13_I7!eoq(ADGT z<7CoTHUi+}C|2N^L;e|jjCoq*g)1+B5^H)|FrBEBIT~l)om+I*ZnKfb_R#@(1rLD?Ho``+J1E%^kt_J;ux}}{{W1BoFFA>C0n8x(A)}j#aj|2Av^RVx29yE>!y@4;|-odUNFBg>(2h_G{o?Av>V?|7=^a$li>5^ zhwZ(tpV1GPa=U+Pd1o7A6;(96flp7Hu?2CBF#dfUiicaCzq}m&TzFxo&?MbTVCYfMVsayNFJ59?>o%O-snrGNs2HY8# zQh2dDzB)jnvNo6Q;vXX(6* zmH1=$Exv0%yVfIOa8D3+M5W39^{7^fA*Zpr#yY1S z!m*L`g8(Y6sBd=dgDJBs4If+-eqg)?d#P|w)yyv(+#zKx`oc>VR}mw>B5!@dm=Z@a zt;R{zuA(6L-s1EP{`X*yPiDCSvU7L(O^zp9&bZIxm%H;%&rvWw4;o&BWvwD&?tT5Y zvG)(alb%DML&b;hpHa_gd+2pi1-%Q*pZrws5tuU4>af>~e*9H0w|f_@(KUI$wXXB# zA!5kke46`gzU;-ckOIwH?Wwm1`GHYuQ}YDQGOKtd7-c#ZVFauk^5%APa$V2%ivupz z!)4%dr@3zi{Cekq^=H2n3_GAMD|`>T3DSF|o?eT()t2~EtU3MC`1AQub0XduH$<6Z zz?t30F`>>VGMLify? z+XqI31F6I8DyJsrQwL{YzfJ%0kzwF@wuRv)5C)DG;po5*efw4&`x`vDxrYSush0`j zwUjn74zLV~L!hnut}tP5Mu^dNWp*VYN3FG$Xw3~g((IJ@oDoBbwIpE%`?aI2noM^3EflrEN6?3bn7uNIla z@YE1QG;nnyym-F|XQ|l>pkabM7LUx&0cCWV8I-6hFhJy&d-IQE8N_l4eT91%ZdaUP zrtb#zfNvlo@B{bz0uS+J#RW`T_a){YnD(RMMT8DEAb3s`FA9V%le*QI_nyDS5?|C7 z%F!kZ1X<|E)+v_Z8)G0023LyrxM5EN*q5ywMthM>7C;M_9ccaJU8al$Lg#`MacVli*;~9zN;_Gh*Vh)fRWTp(9y@$Upl<*fc4P4csMNpZ;0VJEpX9?-P-EJeKqa5dq z5c1T1PbDYlZv)`0(ZABN91792D$5|SCG%Z7I_^>Z)0kK>!62Yiu`wa6z7|3e)gcnA z5Md5s{Hm&$aYJq%-)r|W(X?SXh7Rp{bzbyI*gQ=^EK?fiK8_S4-@R2AWr%uCGN z*BTy(&ch{Ik4anS$@~&~Wz)0rWS;*Xq1tK)=!=}46a~;69_SEQk*Y2`6ISs)SW0ml zarmB^(Z)!qRKl)3yn7z36M&vrl9cDJmmH-9f78UlrWgVm=**X6g(O4%Fl0ua$h9yA z6wUb7S)$Ze*E~UvjC#FV2r}UY$TgQoi3~+tUP%dfCOAD8;Co)g5TnV<+Q$5%{L+&< zV*`rRd8xEHL-V7ae#%2Ndo+c?9^HBj@{z6UOYg~FgVtlV= zkM3sxBzFyFrXw z4rlZi4ZHa5N9_z=>{dgAgZ{ZS_hANizMS_ttiNyD(osYugUm(oTDM=MzBGaYc00*% z$v3CHcMN0QAf55mlRgAR3!Dq=dO}5@u1q6RcX|5yV0(PLvgM#1$=N0*nIUNM?a_;5 z*Y813LZ1Ni8{As0(6>OhuHe^!Kobf%FGKn1S2Nkp^<_CXvR#>0R=aK(n|G1-- zvrB3d_-dV@d7pRKPLH$!n*_8igPT2AVteQFH+q>&n<+v0&{V7`80=n*RxEgwkDp-7 zP{pli9tS8pjpDOBt`t{8MI<;Zuq#Z?NHW{qnD z2dQMpiwJ}BH!YFo5Xs?d2ecU;YfW9(&Cd#kA`SJjd|Z7NOel1Y#Wzrt|%{MNZqNl*GN!PBR^()Dwjj41cOl#6&!W?X#Ra0wH6gId{_XF z!pz0lqH8WU#^XJ(LV5}01`@QmUla@|F`N4HEuVGLa7dti z&->EcG12)N{f)}7Z_l=-4r4!mPts{S-##!rJFN|rpqxmUee#VuYnv40{I{SyPMC4( z5Ywk0OKQ_h%{2)kG9PzFY8y!!XYiZLh1V_i_PSEg z%^lu_RE;v*Z#4CDKKG}!>wnj5b7`dod{&E|2M8V>mWUj7*t}C3yo%kw!K!FnnYnasqs0Dcrfg-u3M8 zo!fb#6>)hD886N;={u|(+b=-(OCV_Z6CGwL{1AXim~OJLB?h#ucLErdgEw}U4kquJZ}8HC4Bsn$TyEmfh>^OF;)VHRe;)4rs1g}wHpZGFa%w4L6VQ9Rf)Z$@M zA>eKDVTAby;zU0VKw4xxA0F!pSHfwL;y5fPPOmFgYr?>oZ__sJc!}UQ#s>*q^8h~f z!*xQB?|v?XZ!VqN2y&^TpYz)s*aupJ;ZQ!60c+v~sF(R}Z0R^@;zyreCT*w#vp~AD z3v>cI-!dRUr{icCQ|z^uC|n&Xk-*blA9O%CU+C`R(>=UMkt-gwH0tQEm>~1{dmm+!{d*G)Mg9x;c+?ux`%^1+4sUUkSMp1S~LXmV^` zP;YU!clp}=#tM}C-XXneP1S>21yiiBYyLLJm|`(0SDZA3SClsK`+&$waEi)EsgH{O zIQKk%oD7BP_ko9ECHQffgfa!xMcY)*6>r|(%TPz(I)*+x*Rpz@O~Ax?X-oViKci5G z?jIab54FIA^&>^#bO{H-qa;E^@|h%RZ2~1|AzA>a_}fzn6HMLS7vIZ2Dxs){iLNCC zpZH=lbQD&b-jZy``9q17{xoO|@c8B2ojgb2IXUV}&==_@ee}sw_b7g`H1nf-cfjYL zv>F8QL-B}?c@ql%$ai0>IlGOJQi}be66E)9YKg3bzp*a&r8bdBOH>Bwq1RlbtctfF z9oASu!3d8NQ^hZ6ICB}UAqA~yeYikJ5buL3D}Xds?c&IrNuq zjxgkJ4Ar(xe>ZgEhahaelL9&uy*=f&w#~K}S)XA%;W-(4X#(|^?WvZzC4K414Q=9TPVCaGp zdi^SS&*rOmiwNnUi8>{-dc}KGdoNwijLz28dI7s?@Q(#yV%bHI(;ag0VFMAnCOP2` zh4X^)({ofK2oph9mfF}=0J+f-HLP#~MySe!<7caw zG@#Y-rSJB+FFPi;KN>R%OeD!589{u5;bC7ki$^E!6*!-diZd3>KI-Y`XU?^ae5UuE z74y;8)b<=}M2WClPNXUP1AHd8VONTW4NPe1RBD(?292+JCKuhW6%t{n42UY~M}^7x zT4XB>e*2tulTsWlSPL~8{bhCer)H!+P|S!JT?Mq)Cp;b(ZBqXnXtAX$7`YlI#y9k8 zO-MW65HqE}zkCdWs@S8spAV&{qGc1`$YPD09S{<3n#sJ9S?Epmh?WZ794TXEg5yv6 z82tN`?#qVTXNVP?_M3ga9z8sqn|VKeVMr?><4C!8ywa=qY~jLZxvjSe8ngx@CJy`n zi=P&V25HzGNT!9wlR@!{&|$Cp?$dF}cL41w6JHzRpN-NK(192`A57mf0Xa*@`Cy`M zJia&*S5f%YE$;yy<~&<4)53DTb`~q;hy)O#_15a9_bYr5&sQ(*8@|lN#k6R4TS1Ub z#@YSb9C|ax!P?}TskUq{c}(kObfz10vKNiQ=jxtR*>ge;N6{GSz_715xJ>ntzR~@RzYOep8r)22PLlt|+B6bF{ zYv&1RsI?X+)@lkb7KHiFKkMcZr{v5qiY06DzuIeN3mzcS`)#ND#0Sf_r)=(vf@xEy z_iygO?v>qPzU0fJUm*Ogo`%dEJKJQ6pPiW2<koO-Z%Ge-V~z+WD6MQ0@8LV#L}(3J7Y!r9`AiP{GL>H$e;>} zE?!=l&CKd(P&drSniD8%^sZTEypEkPFl93FG(U+!2R*LI zrFNH#!Z2+sbhc2BL=3JM=2eEI>9aaFU=2-V`3?2|?o~r4Zc}U5Ar2UC{qZ0UM_7v! zma#`nczh$m2+ zYR3v!9{dIne#=uYnW87yB2wF>ylbG<%NCrZpxtfAf0wTHsCbG}7m;*hTYaRK4-hnS z^V0V7brV#m!Jx>?`&KL){a_)u`pvyc1rW;0dG>XA{?WXEo@Acd!=0`UMw64(l6HPu z+?TPu;^C(*^FQuY6U8xpaPlp?F^rrQCwU!nU-nr`j^pd|5svIL=1@stG;ty~p~BC^v2It}0Xpl#l<-D|jF!V<#Si=C3(Z2BM`By+~y)Z*wDp3Ga|wQhEzC z%B9lxsrEipmR#>(+2Z{1_%B{-XH2?zV?DhK0uXYe9*qoQwb4@#l7Qx=R+(xr?a#T=!uxKlCZ*+## zkd!~o1j`b|kG~*X!WJZfL%&HK%)2B$2BXcD{TSefz7mQF#qdc*gEoH6v+* zVf#;p*ubv4x$td#opR~iHl9f@wr0@!g{|Q8c)5BwJ)%g#PT?hyGS)vFZNfO}=oZ?+ z3H<%}_&l6G%q$P7-iBYVAF3CFt_X~iv_T@=uqtkhD`nlp!$ajuKxFC12oUN1(?(b_)ua%xy z7WU;6--q^MPi=;I9fr%oNWm0(c@aSe*Zm)98ggAxb#Us%Az+W*pD3)y^^=s>1OCMT z)ZLHrZ#9zN7^lIonJEG;#j+mHQ;$+0vW4l#FRg0Z1Unf8b)}z--d*F?Zu~9|RS%@7 zl!QJE+!KMSKUNE9SQBD@m}Ezm<(4BdQ#$iALS}2@2cI@Sb$Dgd4IzAN5%4(jld`*Q z*xt3`E0bNPGzJ`{)oJYUCFnE+^X{-P=Pqr$sFv;OUaEX+cHVl^*wok8`Y`M}6lzSsB6}e3I|?Q8gx?O@B=QR3ZXlgt0L){Xz3rl{AH% z*;(Wd%&+en>#a$FbM=>UHz9NcS!&DMf>A6TS^AJ9W}TW;E>1;k80Tf=65W_vKLj4| z{wM-qxRx!hSd5tTpXL;?T4e(Mn4Z&{Pc9gF%I@!c2W)zuJ1mm_;mdnAN=>oKY}F@c zP#9Nfly)F5!R$bES-S=JIB3IG$?gJ0X2sX~3Nk%YB#3xN2kS~Ghox={XdHAIYA^a+msF zFZ4FjjG$aL`=gn~XQ5YuteK(0&yU~OduM;mNm*%#Ridflkm_+WbFW*-Bu3yy@k58F z$S18F8CGmn-Nea{eR<7|Jo5g~-8U%R|6u`mE;cl;i+!3qWfAI;<#t#AgKqvH!0RCR z>HtHL=S4@cLwVP)6!%kV1;d@ZW4!A^(V_-sJ~jEankN)5=7;|10UozSRl8Dl@Fskkt)1Zgjb2 zwcFZvP=)E{PPS3=dYC6b2C92LjYLUp zhU@H)pXYpCcjeN?Q)KB>6@v zi$yv^v$a;#O1J76GrBXMq^PGBsSyj+)Yh}XMKJFwBbTeFYhJV7OBXuR8eWm$6T6Og zrin$!Mx+BlR3sZM3`~o0LR2@&%j@5 znH%jv1^gp1*y)j*S<(VA^g$!{RH%3?Otw7CbKo|Nfz#ydfy09~6LfM8sh4V65!MWP zhIUd6cXVcypOy!{sPVvjRvy`2WW@ox2gdX}kC@pz{i|M(5NKF7%y4(9~PQU9>Kde-5UAA5Ao*b>1`^6R%# z0$a;*GyZ8xI}XG0dAhESGyWlBLi`V2tao4$QS$ z@+U9|^KDBAz1%{*_QuGCehIZH=gBEpi}~H3U#kM#acKVW_*zWb>Ki)YmjA)oCe? zI{Ll_3ZU~8yO56|y) z2h6%1Sq773MDO(MA*~oVA6+yqVlv$04{r(ZIJR^5!Opv#0@*kt<^wzKAW`$P)zyNu z>#Q>wJc;G>W$H%fpTL{QIgKD=hmcEm>!Xh@{YX`(zxr5?F!5pO;qdbP&6=jkL!*Fv z>Y|qC4}E4cdZ+g5YMKN)$TCsAT$dH5hZL$mqR)s^Ab{qjvB0d%s2sZPJHz6u#_5c1GdJjoTh^eOkE^Pl~vmJowaoBP;MULPu z|GyRIcHksqX(70#6ipLUTklDh_jznif`$YMz9x-4sp&Xs$^C44fE8uv@*8_iJSE0J zOG7rRTtAHV_t829hdAc>N_iOBeW8nF2g#%O&Z0%uiV;rKd$;^x_-*IjNRT=~XRa0| zNR98(S(2z$EB$0G{NN{_n02+1;msMZWYc`1zUkg$!B)4@Jl}h(p;=E!Z?lkY?-u}U zWu%Qm?Bml$({oSDRNc@O_EnudI2Sy zl;VVHaHtY4;gSx_&xm@?szf%F_gF-;FN4cYTBhx-O+U68MTU`r(T!4v=cs97Kio9W zeM5~Kms~ApOh@mg$@5(^e)#cY_h?1$V~7EDK$!T~Fp$a_2j)zKS1ziRPy)X>#Fy4Z01Gt({q$DXCj; zBL%&h6s&!+mcRmA;<`c&#xrL23F_TyN7V2b%WasX)$@=?i`vU8Jydr@*a0_6)lB5$ETbbgFKbi{CPC&{;GaI!z!05am8ceue7lh#X9J}kO)kj{&U_tW!oUZAdeIF zQypO1*h(<0Pv6LbKL;o&s1v7II7-2j`^3dsSn;0f)mQtwhLL{mdN%Y)kJMs~*!pJ< z^W?d6r;Sw2JD0Vpi0B>GIj*{uk+-@}7UoE)6V153yHOgBVc!v~2?svZ!-@AXUc}Y< zOSZn;nt7;ii6iA%2l0`_s4mRgK6FQ+xP9m`>pI9#h_H zHC6n;kXLwvwH9fh6p48!ru>9w`APcCP`3T%9W=Cz;Q{)N=`MScY=bCVYL7{9`rer0 zP`9*#mUgN?e?i2|Hu~%IxWu#jbJgKtKW0d06c9;guQ8%Csm4~OD-)%6dF^$~2KO7j zT53J&DY(*MeBLA&hfiz3jA`q&=eP!i2UYPzo(Aw~sZZOLG?<#hLn>e}_0CoYn$gxS zxlw?W%T?|PXkwLltk#t!7ZC*!iWh&g%_@hJa~!tB4?yS6HP}6SC^eS!1GyB`^?6ui zsm~TZ<%7Q&)$qFQ*9e5V0@_uJ&MhAQ6T4;lfhgQkA$Xkrf28l62+Yqs z;w0Fl?58jVq!FsS^Us$73?IXGJ`40NAofr4Bd7-aZ6Wiv9AbB;_|z+FL~cr{ zuxcS3{UVSz1TE^WdeC;| z8?*T2*u?wuv9Y#Q+rjEIjH;}{VT6IgJMmwuR(EY0MB>+n?7;5RO*uqWhi`AqsX`a_ zJ#!WQdUE+M>(A+y|66x1UNfz$Z@1p8wP~L7dJk*2ik@VGJY8#8_lcOB_dh1mP>#;VI)P`Q2EgIw z^NTQ|Y*voE+_rB+xe*X0UhPP_8Id~tnm(<7PR7iz*FDA^9>T2Q#q{peckCo`xz*kQHLeOirzh~vAToV!bM z%lRIyXk58$R;tAsAFcF7jK7nw_p_LY|8Vo)+`JEPfrqj&IKn61m1Z=WaSuNo=1VPK z50Q@O@dlZja%)dO{O-o-e!2eMJnf7&div`45vj8k$xo@BeIM#6S02N4V#Dt6+P{WH zEz(QWcSqGKu}}OqGRZOg{~sDr=iehf-<^n<9CC_C@*26HQ7> z$9(geTc9gl(ieYYK*F1m$~Atu#kr(oYq_8ft0&8?EJ-!Ol@l2o3~y8&5Z-P=mCfhM z`Sqdh?*8&tabDr?3s+i^-k) z!B1e?SPNjXHIW^Jp%1V~{@C*CR>=4**$4po`IR%~72*24fD>s671S3S?mssko*rD{ z;?Z|<-h&C3!1fR4r|c^)74jbW}VI%m#$ z4h6uwfPHWG-L+fYLtZkT9p`-0pxv^LLTLPRdd3H)L)9JhDsT4^?f~x{xW25s^3)%n7}gyZ+&cY1(U*`btaXcS<$|hG&vx8*AAm z-KBWDI0qt@cocl<%V~R*|NsA8qej&(YNm?nGCGV}v09rB zs?uik}TZYWQS3%p7kTI@ODDBLA1+@d=t;-P#~?7j3dJ zfvaaQE@T|5@sRQKhkWdr0BS_`3XdCkpDDF>r@nX}?X@Bd78clg4TN`LnC_*$#oFB* zIL$GY%{BO2^Uf{HUVjO5aZq!mk;YH)6^@xSNdBrUu?R_gV@GWHjX{lje@X1M?TJc6$nKl z`f3DAgMZ&B5Xs$hYWR4luJ}K3f40GSCP(}?lY2y5Y-?iYkr(`UwzcwAE_8Fnm+k~b ziY8z(v=!+#Y5PN*coT2v224+VJzW))fIDGyDVF=ouVI!hwt!g>jgsHi)>LEhayMA0 z?}|>7c{5@|!{K_Qq7Thd*NeG0n;#wh;wtUWaO2F@c3&LX>}|Y!B|R>LN-rT9dFa}E zxh^Ow&sZ_c&8870rf9Q@AbZW#fTInGHrdN|qYG5G%*SD#1{X!shX}rsV)Dye%(#^0 zRGwAN@7`ZjX+rJ>58-!b=Z@Y0r3EVQ`gy`M5#YfIdlKGg_un#V>tEz}nQm0G%pZA#1Tpfgp3d8XbID*o zOzGJ}r}rWXUy9ww1EK-m%mXXxBOyM2k)^A5`ZG4Z@TbuFrznm7>FFEc5?BX-O-U-p z#lzkD!rD*w!jBr?D9^jsW)21cxS!Pz(XJ;xOf*)R%_=g&_k<5~3A?=uh)+0x$sC(*#?!=f=lz3fbG2=C5?Qo=ht#Uak;b*8o>= z2-g_?zP?2*`q}kJ<D@*D-!bxFsAbK8z+R>*R>|0Z3!kF2X`WtBh zp)2p*C5*s~h15$A%`-zzMtG=XZ~&#GJJK}kQ}{mv;>SgN!?Qk20waxSnbsGSFJA5445EUb|8NQgM#NyZ=lOaBX-{bFp| z-B~&(%{rBN_Ma&54qJetV$e=MX4`I#7e}>{aW&R)@V|6E=j17aAiQ*&qlWZjXS!V7 z$92Uwp1^tBk3`523ukS~`-Ef!eMHl&zwL|9qN^QazuJb(d_MHqc($tP+Mp%u=c8KL zkt-hEO0pEmj6c0>5R6lz0Xjb$J2q(dMHOTU&)TWZPBw-ih@EcC7Fxe&0_da{7l3l1 zKvychoJ6M8wYsCl$APE^3UlIVDa}#_J{1>_!U^5~u(afavZHdAa)=%C&m^UA9_Y>A zSzb&CXR%;HsA;_eMYtmeRc;ehfyUSw-NRt47y(m+4>mtl5&NK}@GZ#Ag}vRUY9WZ~ zZ0}=x^izSkfJvX)?Nb${^O@O_Xc>+Ud9_$D1Xc!+tGiMB+Y?Y;*E6slbYlMMqDpS~ z*hzjZUefc4n``TqqFa1T=i8s*uv&m~-UruP{0Grjk;NQqCsJdt@mlx$hAD9CJ`!h7 zdJ^3RyUWW5YSnUE!Ydnpz7g1@b?I%6FqiW!L~5ZK2>42BHpJt1y?~HW&lcRhS6QlM zy;?msv#$|Lo)uCz)Ez_K;uf!dZk4k^U<52usithGe%E_gmZz~cwqbp`;`)vH2H+yq z!Ec2V5--!aME83j4B4ap*bPcJ5Am2c7f(}^<6Qh5*B=ps#^73s>f%c*(}WaZGd4=l z7%TUleYX*HWnueg*B_T2?7ZPrhyY$YFnqt47m_3KXrEnRGBlLWg$nR?T+8tXi^e;DUA91hXU9e-05Atn4 z97zc^if0JU3RcwIvu0F&SAZNz}RweDUv`0&TcFRu<^)EXQJn#7M=T@fmAg`L{VH&_p- z1Fgfoo(0y+9-XLNs0{QJ0?WCZld!n3KY7PIZQ0g*r+vKupLcRnPFuGty*a+RWv+Q6 z)a8jeJ_icLaoih=zDu=)B-#p`z}+HGK@nOSqdKsf%KjVr7fLM z6&k=S^_SO7kf&p9>shDQ#rX~b2aP8o3n-}HcjDREe2~VG*NhC^KpSr>d2@gX2XjC= zZYjm#I&l*cx~6v95f~Rc{r0Ps+@?F5mv736;w1KgIJYa~;Mp1nS)8m>0Qn!r zUvL)Tjepy{inEH)r2|-~%Hns+Y_~7V+R{47iq`liGpHZrBkTf4pZ31LsskDN|5;Lc z{>0h35ZOv^=$vuR)A4^=*x&knf>~1iIsA-kBMOrAH2hmOPBFh0Mi~Kj0s`awwnb{- z?S!>6+KWeP-sk32R=j5&TR(FoS zpyS>sR*#%B<~!5X=`~hLMk#u;TG{|5vdJkMsCuzs%9igN6epCY5YtO8GKg;X z(rnv}od4<+^A+AeUXwy4#PSF(tp8c7{`V$z*Pr;UWOQgx{j5Z^iVMx&+7#H4#ucn~ z*S%yWn5%!Ul=10AE)E)i(uEvc-Rur@t=(#;UVOf}5|9lN#jWgQrlmQjVA&tb8CqU$ zd9s{_xA*zZpKI!Oh)Y8M_TnBV{uUdGUIT#FE7=wnseWDyCg5K6UkI8E55Hr<=b?f6 zha%;^6K+pZc0WYN(Z0?uzVynt}yXMM-494eO;%57Brv} zV>Q1jzwWZ$@X+a}tf=4@u~4-LZ0w31TYlv64Z)a*npJ zLnyCOeWm{1&G70#Lm)ezB=Rz^Ip1FM?!`o5FxDZXWJs1RMl<+P!`{SDHeER37A~?- zM_snKCEjXS67hByTE48u4aw&%LQe#K0~rvuu{z++IQ8e&BON7e5J~RHB*Tsk&TlP) zf68OgyIRQgf=6`^-cMv(S}eSkAKnYocAKe}hww}W6$@?Wk4$9^QhOkcN8z%xkguwQ(KY9*MEW%_9S!}xOKxv4k z+49yNW7y8jggneCHkG&)9b2OXeuh@~o_4{E_5nqN&{iY|D$D7byETFHw}~IB*D@!a zS75LD2otq6@IA{VO%=iDBWrM`KJ1m#oGhT^khx{jb=V6v&b}XI4mtVw+1RA-a4iwn zsNGOk>765pRMU^C7ceLB6~A@s)tLaJl<~w{^a)c85K``odsIWWC+&BIhe^l0ktvl) zL8MA(d@7W5S1T_p8~6C~zSkb-az))_6o15ETCP%*r>PP7tm8OKhdKLqsFC|TPXEpz zajE~ypPAH5L&n78s7Qlowwl9+Po>C)%glUykI8FKnMs}cMA?70r{FEm_@NIMz4El9 z=P8S%OKFbA6ts~b`oE=u{SV@j z2?8PAHn&>MCx^%Ju~R*L0cS`dGcxLkDIDBJQ7MLzFmLn zz$4!OM45kp-{$Er<)lAlcIdnjV~;KiXLNobASd@sWpkcW-OHl+W#SW-xp4Le3WYAN zi8kq7n$D^*%LG?TV4tgj<=Bq@(}BO@L=nML<1ZAOG$pj7bkqtDmA3}f90-?ruL{MD z3R+LhhLEp=+6v;IFK2GjK{$N4W|+{5&xkq@+RwdoWHVSWfL(;bIs9d9uOvN*Xz;@^ z+vYSIZxllH-)~TtG4AdO&N&sVQno#v)V`_Isr@jj!^`9qkDl!N+-h-;(fe9q!!|8; zJ>~NqnVtD@v6Ct3d3U9~W;OcnXpcN5;`F9)bRe%ULw24i4Qw9L_bh{71TvmpY)cc+ zO8p(4S+Sx?%Uf3CQVg$uTUkH%)r~G77ERP1y?moKr+Rn}W$GuaJ#?SdCM_2cNzkHu z?!9a){=#u%6?v!ID@%NI;X#dAVq+xZqgFkhKKK5T{5^Fpwx>-@f>Iv%xCA^^g<@Ep zeldln^YKRJhHTHYf#zkatV@8^gI@zQB@LjPhV7ohfd_RXH-ycXgf`3>5~zq?q*TTg zF66S<;(92!$lkNeOX1ztn#-{hP@}LWZK>Np)iV-?pw>Z&dz};$f^Pl_*wmZ1Fi8I~ z4AY?(Ou7}+#pGR4_mP<^)x@B}>`>g+Xx3@=bCq+Rzk~r5xX0B@;#C?`wkKnOkc}j> z=v$Nw{;eQFcd#qGmTxk(*$`p&B|$%Rftas5|KT{0-utn!KKq;4pKZ!56%xYVk|F{_ z=X6O@*_iYb48@J)3(l`a@t>5MTcwFtAo??A`jJexDmEalY`oPBcMF9oOc<0-n|6dA zEWNdFB@6-{3p1?|Ow*`GxS-HuF`l2DfRCXf=To4Xs9%0#~|N(@OwyprDpEc0S%5&hq* zRi@A8NqA1)>&FPr(ZEfwa^w8D;T zJMNmE`{RazlQptsR3B3889zF^l0`>=k zl1FdC+1bf8X~}(`uZl+@gl@OsAFwV^&=Bw1E`wQM_BzS{7jrfUSvtOIOAxFu<02xuLOP+YT+_heGdJ>>s$oKG4cwOHZoF z6WG5j+K;Da0r@@wZr)OJ3DH}c=x*wlqid5~?&dw7N@@oRle=bq*`5{6ZK3n+ja@b) zKP&=h{S==Lk;ft@%hs_-#Tn?u8*Ao8+M#e~%Tt4~lzXeXa z1yxUzdzg1m;O{dow&==fpLZ$ecFw=o{DC1ydV=-m^I7XZgB8H}|8ubVUqo%KLz}Zt z??cW^60d6_jZa1|qqoTO6~WN7c(2O4Np37p(0&es1IkKiij@9Kl@l`DZ++>wnXgx7 zr~xN6&S|$pJh>*8!!W>kVnokXtwEFkwz@YwN9Era9A*CADKHsnUvm3)Gt(pd!v@&B zwid~&&-3NGWfwwKzf(Rrpk*EnKMuR0hV1maajD+1_F}qeU0Z(8i~O-s937Kfabd|H_2y*;IYHr2XTM z-N1@_i-)u~gyc}r^?~d|+YzS|D`U2MbU{(a!%x8aEMZ`gXEcegs*BUG_2zsLeZp_O zTNqCgcuxxGL_J*30M1VtfzHz-NtMrfZ*+wnhWPvfWGhF0OPgHMU^`Zg+p^@qeR`#? zQ?shnsxA4O#d3oSlUGIfz96{pBv&c&ihnAAD$>Sac=oqBhzlCpF?FG|ar1LKJUjU- zaO%Pxf{^SIaP_D@YQ8qT%6ijY zg_uq`uj}UcV)A@!TPV_|3M-dwzgHPw*>=AzAZ#Y^3%^z!2gH9#2Gcd>=jY%P&O!fB z8N~tms?#m9SENvGd?FSiHx$IprzBjTV0Muj@~92nWDFv{>iO$5sfekUnW@!yC7pZ{ zwQ%Zma#VKKI9LZfJak)D=~`)i+3dajURM0*?qtg636mEEs^-kr*3RRPTjvBmcr+e8 zrPYNc0Dk@uNG1lAjV;(A*nAU#?i0wYSPHy_7Bsyu*b;4ERQ9?y{Zr}Z1ug|x?F-SW zPn=su>pqN0JT|SLSR|w>b=pqSgjP=n-Wish1tNY@%T=3-ydMWJcRlf94`c4^K|D=lMnC7kmlX) z@>FsKP(ucqihW0+?7E6Z9AFY5=gj05T5X%efE-EI=|R7kaT{UA{uB3*>o2?XNQ{oD zLWjf;;2X0!1KcR(X(#7-7C!iIQ8VXmUQlId*-4k$e*2+Pdh3@H9W5D`7!dFl{4Z|EwfTZQkxds*CfIXFd9(s@)O1?2yz@(Ku0=F=y^ z#;yzAnBi&p!O3=OQur01hbC9q_fOpO#&KY*|HI|{B;R2z1wuS{@7nhZ3h`{rLO0SM zD8+x77K+BEgyWo8ipL{O)nFeFBtAf5JM(cKBLxCAXZmb8>&Kj7O%Z=E7xy(3$lcAv zm4l$dno~Z}g>e70xo?YM0ln?g{e_6Wsl3Qm>xT$hhQx|j(~L8x9#$gD>b@sG1XO5q zw4RiCMPMGKj2eH^xt8@5?`(iN;(4m2nFLN7uJH02wzp{ddR<=55GAVe!Aiw~P3$8- zceM(ND^s|nE!DYzVE20Ia7*p-(|UpGC-PvC$Yj_r@0mv|t&cWh)t}E@S#OB?do9H$ zP3dU5C*?l<$Sso7k1Dx18c*T&PxT%Qhmq3}ucll%1gS9HT& zDI{zwnB-x@Ny23Zrb_H%oNrx*yP0uqN8DIDf%m7}IUBo;$OX7o_M+2Tph-8}t9kBf zZ8V6~21^3!pb^h3`_B6(-KxMrxuJj@&pD;dbhm{2t zf&R>nr%;SGa>wnSX0j@sWRvP{sD`*+&fgL6>EjUGh;&;?cm`5KWp&XLUk4Ok<2I|& zkX~L+Ypy8O-b4dlA$gnG-kg+#j>dFCjV@q!GdUW-3}eN3j>Xd=WgZ#yo{g_?H2~1z zF+E44KbyMy24951WwAe~=6IiybNHA2re=(|`EHlNNu&6WQ>Y<0ewyt?TpC5-}W)WG8Q~| z5B0t$QcoL7H+7ikiu*(j);=rk9fR~tGdaoQ0y=Ky&p=q>nNLX1LG+#PTz1*-w%gzY zA?5u6-3nZ7`SXvCWEV4&9v2x<5&&A%{FlUz$VF(k6QxyQ{lvhP-nv+)H{>g4{qMEi zi6WAdv+q*l`^vstTe=kuIf_i!JnVOwD`I!K0A?qjm+;K;hr~Hi)+AMgs%=)J1h|P?kBA3$# z6<1Dooo6tzRIhZ*LFV2=9ZvjzW1xG8fC&h*TTXJo#4r)=eRuEkbnh?I88^$XUv7*G zx&}C=7T~VL9jC|nEuv01RqTm94O`s;b2kzWt@EtX`OW<0wgr41SyzSS`b6&4Els&A zqwVT8#Uufai@M?73)Jwpz$$1==zTWm;ugB6xL|dz-ju{Pv@ch3d_C8oHoQHk$$B0f z%S%ovhnbyzdSm@2_zLo|#(#skNy=w!W^v5vw7!y%r5Dl?mbaNMD-G^{ng43R5j!>3 zbEbxUwmIvll3p3s8ljDinW-eT@5-%a8)U-U7?ie!!0eazk%Q$K4OPcimYSVeyZ8nK z3OpU%Zp5wEAyc%m98K8jK+A+&T$b|1=AWEODL$wNYf2GJ?4xhypIrH}L%XbS|G0H+AgG;GkRSsTeYmkAzVyJqNwxm$g z9SQnF1vbUg$4aM%lB*%T)^W8q!{90qh68!`47V3eOI!pB~L1!0v*HwI?HA=cZR(getQ4>L zQs;kCRG?t@b#zg_IYp~@HXDo#=%N`|)r3}QjxuMd3xD+)-4MfTYOBDskLdC4!p_M# zho!h>F4MyGG2SzmhKn-#(r9dwk`{|gucQ_b!IEfM1v+5`>Mo5{M`5BB$Ko1S@6<(Z z-B&z#%oLz%&E|>x(t_aY%@@%_1*_goxVv^MUT+bHb1i*#!V##pna_tq^|&|yxH{phQke&AxeIPGpO;b(ybhnw z_LK2z4Lxlw8J_d3$>8SSXC@uPzPH{=g+?@x)kbJoxfqM%?F3fyy~i6Igs1(>4-!Lg zQC^ni@*zdgM()V7B(V^mA?eCE6zCUKaXx4$j^0_geC2?Mo{)Se`>wTwz6|9uBDhSd`91=h;l;Kj@^13=u&(WszDm&ON_tU4tPcP)t z#%eVb(P^Bk!hVfIl5G_$gE|7u6?ePnoh%{f0G*wU9AuaJh|YBd2(^`9Wc-+n#A~@K zDSC_ zb$aq67EOdY-fw$IHP49UG}go2Ovvlffc9;6qz!CliXd)g>+V}8sTv?cRY`lUH} zs#8?<%9sF#kw-om&c<*x5gGYkrynjGfmkJa9(?q7>~)8m;KU?5t|+dnYT$LhiO0&5 zqdKmzBHR1A zs!cz-Pq+Lxfxz3wT0wl3*{eBSB(;QqJZ7oeYIVHaein18yK=Lxl6UrR@oGY2o1g^r zHS+u0dDDe!7?F?Gfb0w3i~l-qmdA6tbWb1NAv*U`mMU5_#1VGr&-G@Wd?HEazwk?lbsJnQhuy|aN+Hvl%Xt#WO^n=niq(J6(wxHZ;;LdcG@T?Eg` zhtGIenm6Xk(5b0JOPx8{PUyzq!;w~Tt~oLAod?H-&UpGCx>&Qz%=yx6(8kaB9!l2C zcmkiNGrZlR4UYg(HQ6l*xB6WuN!!dx4uU-8GmQ^u58;-$>U;GBaS3itU~2(|9=dY+ zJL|y4MHhph;Ac(t3{PDD2$S3SF?;gKlc`9nlN{RNt5$j@88=0khEo96`KSxL&M5&o zf4CgHz-PuOjmc>}r}+Xk1tIj0FJ^2LARG21r@Sbe+dZalvi(q1gpn;a_lWH)cHKmN z2xIBK3QTU~OYHwf`X6m! z#o7?!rUn1nQI$a78$faDEg@c0h)8>4Xp#;-+}VrG!S;awxij(HRda$*8(IrYy7S`eX-$F4Z$5v$_MQ+(uk)9XWJHThdIUj@^dx~pMz)%2@j+C_ zY@gL6&OCSt=-#@8rC#0P?>IO_!Pl?_Gx%$SIJ>w~Q4a-|o_(}}d#^dp*O&TO5~~j! zNS#E9>COsSZ_;0@*{L9Y?OwhqCLUsDFHEq4uR~h*itK#~$?Xzst9yyWnd=mJuaE+Q zou^leI*=_cF4g_;j?BuT&aH*(Zmax<9_M~BnXNx>z)I+v9_UtQ&0L(P$)9 zR@*NRhka|R3l4wm%x^b1G!QS2yUwdA@Pv1GY!{dhg@JzM1`hWuwzF1<&OAG6)7_oL zP+SazS}8~%qgjpZmwNu*5cu5rvwiZ#BT&e|Pbut+np%W~I@ahn)8A0y8Zq9^{v9(10@?6nQ`lC|6yiJ;r4@Hm^^~%6_f9R_#eQHT!8u?;nM%h zpY|W-gW)Fpf4T>YJy~g)H?Fwb41NC4+Bm0t2BJz?RXhz}Q+KXvIfARvN#|9y_xQiG zNIhgrp#AYt=GN5fHz?!I%VldEN5A2zOwC9J^g3EAxNcuE-G=taf?d&uJ;KFBu>JMI zMF8bpA0@sR*m(jgG8D4*o`<{Nnw8$vP>^Q$o@(mcNmr+jNN(3v=Rj*N#tkY@W__=o zV;YyFri&8tF6)s1InTam9BV1+5md3n$jo=7EHUID-@y4#WG=nuCi8}lF|N_Oo=LW! zoooD-wH1bnf?NKM#9{UF3ib0FU%_$|budCVDCFuF{mB@*7UA$PLP9TQ0opQI84%N_ z<$t!K#Nt1mtsC$pR2WvTm>#!RDGWQ9M&oONTJkCDY>78pvu%066=8NUQKSK!BV2ow z9rJw$G&BLnu!+L^xM@ir*g?s`|MU`pawKagj`xgK+9Vc8QOu_2!+3@Pt zK|(Li7+lR1^T`XZ>lV@pEfio=xJpl!G1wzgVS?It=Tq3HrAlZTb^lGpRr<&qUQubp zjP+`Y6SbHlA<3k2#4k-Mi@tGyZ#*K&cEnHXGW^Lb@LEP(*#|Ruh(78vc-`nATw7H| z0PRK)xC>_8T#~4k?_dN67|HKb2&kbu9>V}OfK|Ar(w2KnF<)%2VM;`5s>v>G>?)vF z>zjzi=83i?o0st;obKPG(pha(aq-WQvr1hHwjxOoS1&X?Ew|dBJdNYf9kd;1VEPlA zWw_;cWi;2U&-h}&9nqTWr<=^>4?Y{jvDS&?5mLM-=6N20Vn3L@A&3QpYPoq5FODy`b>GZhQ!}^)9dN@Zn>p&Ia@#vwn$XYynp`(==~dDH^3(p_nb( zIuRth?B}~(`=mD~Sm8K++yYtec>__@#I;m8GIOJUEY1gZlx$~vE93gKNv6KYPOLWi zEnr{lNZ0^)w4A!<|JIp({C zn|h&3UVLoMpt;j3bAk3bf>sEi_Q!dMmUk=J=%p3$pJwU*&odTR@DHjkx1jHd%8Sj9 zTV4svFCkzW-^zLjWZ*V;kA`7J=$b81e)v>^&d7k3yn>#Qp0*=Y4%V=T)m{0nZc3 z-_CPnADJ;DS)WEjma6^V5p6s^Xo-p3r(Kmz}!ozTbPXIPra-h)s$6_u6~8Fj0? zfDqvIR~iWl1PDYT6~7?@=WOnfMV-Eu0Q7tDfV@_0S4t7Oc%hv>&$*FJ*Z{Y(y>O`* z&;{Kyyg9w&C#uwYI0aT1I=87!E;2-sS+=;ZM_qLvtB?kSf>!%)^Q(UQOX!1FC8md= zYbL+8vIytpsz+z`J!oo z((-vLUxAqAN2kzmDT;q1)pP;)JX3R?rqM@Ipq{-t!taP`q2niSp#M{2$P z*$4EyU*{ubO|#g-_lCdz_NCumPG4s^@%1h={9?3D?q@B!JG9dt(tjEL_G0$QeK@Le z+zE-imT%afnebzdQqxWN361&s-bo#$+uMXI%TIVb-jGTsj!W|I6gwxj*t7%IFS$%b zs+lyj{itLi-c%lq3A>6~mSU@ii|w6>9K<);3HC=84j?bJHkd_3qm3y%4nR3=Gzp$N z>iuG7UZJr^FK@|JI3`K^vA!JC8V8r>8FY{K7*BG6te{1G?@H2@%qEFcTN;{{8fMQy zl`U2cH)SUqR}o%7Lb@8xWyEb2A{fihX|i}rJj27?x@u?o3&2JW_8q7O@T*gzMF5-& z*>W^Tw<2$E5VV3;4V&%hX zqo3eCREO7#Gn>m54<=(UNwTsfYp(;UKgcopBaL&q1#p$Yq-uqhHnHhUPCajXU%v3e-H%O6*68p4v|yK`u!^nQ-gd>?RRpi>y7b0M zpg@GU7li9{a2hU@kkW{ZtA~czFzY*gb;B_8>rj+7iLa(d!i8-TNljmC z!6zXd)K`!ch=I=^b_vp4==8UT@S zdU4_~2Fgwg4MX3XMnPJ}Vk3fb8$s;7%apYO!tk?7>n3aw*$Uxh0|w zO$G#uje#}Ok9M$fB2JW41`{2(80CU=ND*Vy^0C0M>0QqBkCipM(7NygzK-*zE(kbR z8cH0O8!DdOn~>8p2>4V=YPL&x5|FCVL^EjpcdOFJ@`}gn4}s?U52pSDu5FDhz@ELU z-~H-v=#KCiGXy}ldJV))AkE8wU&JT0bE@|@G)R4!4nI? z*>4aSu||H7O-trs{atE5Xn`y_HS@i!G5-zZ&w+6bBJ5aE>_9gO*2(sF{l)9TO%&%= z9W>3~d>CpZ>|BCJsG(NLVm0$}q8CdR)l>2^HTr5C%Ak?lI?5Ql@OznBtsh7uSD9|NLgwT<}3L zS>+Bey`MG#%(6vW8YDIv^{T|UDl)c9(l+15UZI}dCDDUdv}OKFSaR3@m&JK zOL)Bi0i9RzZchyVP8KguJBV(CV_05xu@?oh0M&QH<`sw>*>!eiT2Z-Kmf0~c`|XW> zR^JJ*o;h%u;)5^^^^C&3ZriWQMDiEJUsJu$94T%73ADWzh4&OZ4pQ%vqmQ;!E{I={ z>))`cQ%WvmQ_zFjmNGwL9UH4-$!8-QyKQkQ85{f$X-+<9A+}}p^djQRf?_ID5O2^F z`uABuDh3N7He|n|Wr!ITD(I0OIVg2;jEWmH_NZW$xNx-^^@zp);Kkvk>@c4zi9hg} zUf=hGv^0-kh4DD8QIU&h_*i|qcW>G;7><4$SIL#y# zH}T>5a8SBBbd)}@Y8>1S@*;JfMkx(sRs&ZB#44i2oR(wI)rH{hzMPMd0sJ2(2?<3N z7n^Qa$}73q1UMC+hFl274;3K}QBa@Hm!(E1mp}895#!apyC~~K3yPez0ISx>^RcstD#6@h)V;@>Mht2#Jhw3Z@1dBe@ zG7MiWy2yQpV&0doe7I!nQyk0KkaW-zG_L8%{@sS!@L14VMXP~IKs)lg2jIDtc9Rx>5IWe zz{{SREXE+RU?*`R?tG7Mz71{vpKa*B@flf34VKpJy(@oq==u+**4NkL#%~OFqZg2U z81;{r(XA?NTiBhv*F3(ELO^T?=ImbDR8HYMH}!i*U_h+nm!n$3O+j0MN8q61VE@h{ z0-M4hmmj%d4iEe7O7d_&3w-vEDve0Kt&-IPEh>M0nEj6`jf|>UT!W`5@Nf<)(HLZW z8c5vB=#|C>jwC!s-ySw<(9`AC-eSB4$JNdEb1ugOdB)C9zvk#sd-;PF!MM5Js_Ea*~6z80u{(kwWYNLqWc_OjtrT>)mhJM;BxzC zvASRX5eq~LVA+S3%DHkK8|KeKh8#u6>Vf25=W^}_XgsgB#q<4Zsur{|8JG+AErfxa z7c1~E;pG*hS;Ip%UU~Ho+mBy^j@GO~)B1gv{0v}HXM#usvQ#Qc`(sDnt!Oiw zB-D8HiRnsbWlF&PM2o4f=w7AB7?*J$yG&{o+x+UhpL)505|h$gqq;j8!}|ICm1()_feb%=I=8 zA_8^{r|U(wKvtcWIxpx?9r8^UTd!s+S!2@!MuSLBcKWrUoT8=XJRZ(OLSk2DH}Y9b z(o&w<=nK&$OijRDdTs6uh}}s(FU@Jv3v?oVc=?bRZudnZ@Ut80i@`m4Jr#&16`d2i zX3)YjZqa1d_3|xH+pb1;#$Nhc549rAyE{jG zhNZe1)JT4jJ3jVC=D9!wr zl`MXL1xkxxTci!4dS?Q$F7X64yrCPrHQTB%(j>9MqF6+$?%2?yT8XDn%5Uzu_s%^yl_^a&Dq@X4Wr2c#!MBw{L1eY!dXyUgRr zcGLVd9KryaKE8$&Nqn>=m+Ia{1p-0JVDHtSUC&m8#TOqF5V2U8L|27XZ8cnw@UKYi zHG8Dp3I_;1jXwT0&2&d`zuRJvg8FaY54mO@38zZ34!sh!QCzSL879r4ACPTHPQGWw z({ZSTpPOL`Fg%%`%<;yoF|qog419g|D35MuAj4~$aPkLy zpsj-*GopeHFyp+4KcqxUCr zMG(QJ5`5OX^_>@5x8XF((1*WQ`)_MZ3q9h%7&WB#xF3HUWJN`UUOXZR(uro&NFPiz z-%u>~2CcM(LR>-_l>&NVV>F=pb`f0R{2Q2WiC~OyIOhDqo1!{RC0w-Wjd!jpYoT^|#^7T5=neesKvx%sPZ3zsf6{y>9GYyc>APn8e&=O`FSGrQ0m*#=Mxe^n2p{{*(% zuGvo`uJqm$808RJgp2UDRLlkp!Mfv2!3kdxKb1Xuau*^x6jFg?hueg>?EZc)^vLFU zQN@#sL)aRyvUO0QxsGUjM*@^FhoA2(^W$qmCvz%kQP}lRK1zLa*NUZitlZvXxlMS@df7H&Lkmu0VmxaR3buy-%kPgI^gMXBB@IJsX-GI zUpaEv#(5&gU0U8UDf50DIbLAD(I^V?cnyIcREkvwqPRnxxU>Q;W;7NYJ$NF@e{eEa zzRi_NN}a9TSG)^a_Kg2$Wa;oL zDM!DV=p*CNfsI;mi?yxNo^ZDaP$DsJ<V9|P5p>lNB05diG zCbU45KD}=I^~t4W+qV_w)4{R$MM~lbpgtPT!YddZ**$sIAY3>^sBe5YlKDcfL3%ON z5rxXW52cR6lcd@YI4HXmL27QgiM3H^eU8;3tU7!?=|WVw#U0!xB$4{I1YW&kr~I)$ z*)K^3LpA9Y2gpOvdA;YqDAfOBP27f_OZMmbDS2?(eRat`-x8T=eQt}$``vBCkR7vG z?tx-EjiN2>lr*8jFKH6ge-rP2|dzQi?=haXC?UJjB)V)s>pvYW5 zCDIksrpmVv%T|xy7W{DhD_44#)C1Y{9Mu|-OZ)AVZ`mozcXeAjgA$6Uu>8mz?z=YC z{F%HOgk9XEb%+2_W_YIX1wnggf+V8$FEZDrZ1;DHf$1Nt!;EfC_vE!cDXT7UPAPk@ zk+riCHdOce%Ig^WQ$%*RbV3l+WrqAEqCk{R#5|H_`mNl3wS$XkTU1APk*DF9s|2}6 z#YpS7Se}_vt3xLp^EGQ(HsJoP$I}UKBhVFMeR|e9A}<-Q_xWu)jblOry2HHKOcVE# zjWdO(9oIYr6=cIc+mcbgD1m+%<8^&iZctIFv$I^zsIj8`tK!bb;>f!J`Y2J}ptLKt zf5DF>Pct;tcwI%AeiH&@pGVNIK0QW<-rk|O%_@aio8mnH^g1}aL$!U;FNxM&C|;6TBD`q$qj4=e zpkkv3-XUSF3TUdjQ;!Sh?R*AtiwKOEKj^K>!uDYA8W3n{#Ndi2KbnTLG8<_i4#tSC z(Hy4`aMLqVrs*O@GIP>>op*$w3s{TI!~JX57yv|z<&XM2G~`OTDr97-il43P&@XY# zO8(xnd$Q{oo&&d>z8UzZlOIWYIt?aUq*e75YH=Sjwg&BplrdP?b{FFkeF!?GRUDi( zIkd_I5Ep{k3!GXls7GAMz0?`z_?FkD+h2hYOBL%)a!~!)$fp{(f4H$^z@c%Z#@xo1 zi< zZ=2ME3HhAK|1N61LJyM*lJfXEW#g7;-qiNj!q4?I#KSEvaD4X|NUYe3!le?c_w5@7 zjK9rxk$Z!II}i#B;^hBB)?0@)8L(f#A__`Psfm<;2vSp!j)91vNQp>?f`ZcBj1DPL zn!!LsK)QQFx<_}{NXfxA#`ewk{oddA$M@%UJ=gXup8GlXxzByhDG)(9&VivNAvCE~ zC(H9M{XF#n<)$R!2;nD7c-f;jQ+2+-&pt6arEa-E?L9YVUbj+IJ(OQMV*b+kaTYpn za_-hve?ODd?jzju6{Gl0-3Yl7>~A7R>GN8!vrzf$K~s6RON*_2%5K@ma{uLiG*Nus zYd#9;JAhPa#_YcK>1rZr*8-A=e7>2LsF5?9H+k3IjExU?xzAQZlDuxV5Jm$g3l^`Q zd zBbG<3re}6F^o!9uv)ZwAw)%U5j!V<3O>9qTfwA#j*2X{1f{!t}2a8??Kd+U;ais~D z;kIY*Go~+av2Z!m6oJaO=>rr#n>@5vls5_fWj0Vu8k4f<>*$@$NnT{hij=7Od|A8e z8)XckvvR0Fg~j?1Z98qR0=OS|AN$3|M&8akur&`-_z*dE7(p7Cw*OdqJWXvua_JPW zI(kU*v}7J8oc+JV8wm_LOOF%c82_hj`_JyE7RiP8U%u3Z-)h&`wN}l~ef)i6e`Evm*bF57a}Gk3mrEJOGwp=eDdAyw2>`5&f=~yU+X+IFv;< z&TzLMq>iXrz=6mFd&O!EHEm2ds`X{xR;suab|m0G@#dp#;(e7bxfVzj-SwV8+MN(E zWc_}iZs2Ncg7Zdk!_J6;b?!%nvV@^;$0S5DtA$++)R`4sfM$ejLu>`2(V zjZr3XqXa<(W6;Tc=V$bQo5FhZ4Aar~ zvr^7>LJO4;DRMEMzpso2^uc_i0K?t&YuYE&WLRjhZG~w5W_ml>!*lyMlIgbF*zQXtq9Kfn>Fu5oThI8*P?VDOMyQ+;staLXX$1U z6kD7B&86k=iOz-}?fbd??er9AVy}K9gDx|^ZyTE5H*hjPrdo$D7tfE&65w=QE#Rwt z&kCo?lB%;K8@Hfv%+uQqG|Ev-Jr&N3R??D7k_0I>1_J0$F{KK@Rx=17) zDVpGO{tSH5G25=Vk>s808@MA{1R6Tq(*=5w3)!%zJSDk9yYf?PIE+wK|7H3Go|(VI@ZK(8k55|` z`Guieh{L(&)~qkKL=tv1(q>K0jRhod&FV@p;7R9^UZqegl+KT(b@JT zICb%Db|5Q2^UD5jbZ3N+k0t4C&L%kQbC|k+UYu1d$*DZ1Tp#7bPP;{M{mu-_< z*5M-aR#RlsZ;br%%ZY2;4g(j@GgCnKPsVS;95LU#1;=v1Q|iNVF^Af(`8JOdzqM(2 zWVP&s@iwR|`>KGaMgBF#-X5gs$55C;;6%HDyc~?Sn8or!{K>P~_yU$IoiIfDn#->?^FmSMX*C*vwwJ zjES2cRLgZzLuLftKux$Cyps=x7BOsZFs@j;JM25J*Ga)mY$<04&d}O!$Y~=>gPO4# zFvl7lOEH5H6TJ@IGvF4h{21l#1TvAb`|tGbFjwuIl79KDDxN-)@X4~~t(tEJz^?Ae zGFijttlkKhz?LeA!!~%;wU;3?$HVG~6&(kg4AL7GB=hB>u>YG3bkE@-<)jMaWF?RW zbBBM~I?`!b=&)u}_S08o2k5%R1|ybNEStg=CZB(%vyLl<)4#aw!TM%E!r=n@?R4GK zL8e(PNISmiuVwi*89?k(&}rS&jG~i2^oms{7lQ34r#9z_uI$@zIdlw#vi$gn=AP-L zLkMfHtITDfxTvMojAIXS%e?AuD^aZpr`45~?x}it{8;(RI373~!&wmMQ^ffPM7Q=Q z3c)yehb}&ZBiDRT*zokxqN4TY+MT#&uxuF(d`C}xvw(Viwe#bt_-+D-;WYY3%8?Gp zN>qyuUiL6P6JzMPugq$&StaI!nF3+oQ}o@%mh)*QulkHPgA~}zcZMa`zB2E^H-yPA<0tR1jsoo0xu%~J$O(c; z1ZCBmS0e*j)sY#eZGh2ju7!wr6eNSgMWx~-o~jNXd%EeVNqi>t<@GyiA}gU(19sx* zguCZct8ir9`uR#OeCHz9Y~Kz?4X^38gRwxuTdJckw>jz$WpTt{t$id0C^xbsd5JD7 z;G4@?>j<8bTf@^|YSd%no_6!1_>Me-XGa2>BUp*rQl~%R4#6Y3Gwo4+07-&x@D4J7 zB+Y*Vu2P6yQtaN&1Bb@zp6r?htby5n*Ktu^PPpgol1wx(lG^^J*;;7KLTfBxaZAM? z8d6FzH|4ezv{^77S3RO6-b^MhQaEpE1 z+PB&?a*14*xO;uL0LxT5)@o2I6h^WN;N9`i#9s$Z1$vZ+k|?|<=4Uz#Q_A}mFOIAg zcfDrRHJX>}O35ywTq42bM&0uy?;<}Ki%UY6N^)6!MdT2HCj%hKt>z9Hrh7fx9t*i& zt+}r|L=!zAR9G0R{s1(5@ifW(^ql@PdHC2B7gsJ;o9RB&l*t6+%M4Zg$JF2&&`qWN zd&M#m+mqf`N~U`lq<*0LvxIF;xf>tX`CEhZK;~VWAFRhbw*eF&P1wm&WWIr*op8J# zxI>pES>L)NV1^+ge!gsy+R45@*>OP|Ap6tFK9zDtcYD$?;7B>-C20?Pr2DuX(i^0! zb9^ZJ@Du~+PIBSyQ@pn4bGF3_g6@i$d5J9ewZGsWNQ#p#c%hR>Ks;iC)VfdvBU~yg zF837C#?Pant5b@nVYxSPILcRg?H`Kc2HPp=q9tVu4)Ndem zm(O#10Pq_)GJ8Ah==a8}DhJi{0rh@$nCJL8QtI)tVsB8Q&mM3hognV99qR7-kS(`XcT{A$NqIl1{dO7U;qk~5s`(jl>`nbLQ93j4`U)bZXs}!fxd*5miM>^_ zp<86nISHJOQE2V|DgKede4oE=_T&lNWeMA6TDN3`zHH(sc-D`wYR?;?d3`K*1HJ(vMTniv0wVKcaHK6g6V}ung7^YGhk~%A^DL zYVBX7U{g)NzRAvlglWyi$K~et4byqcj~^OON>geMJzxt`tJzS)vkdRV&vaJ<<;DX& z9(j-|5r+*s=%OHMHwRbu^M98!=QV3`(zVaTOB?2Xb-(l842vW|?5TIn!of-xVwqh0 zFp`2xwu&s46pi3jSsuX(5r0LN9HlOOC>@&R4exu6Adfsp8iO?TOdeRF?t`l51 zky|C30M=0($C`bX4X8Plxco~w<+JVWS3d3>-%4nF?+)=WhWHEmS`2*%oKtYCxnvp- zUOiX*)LV|B+pB7IejsHfZu_&yUmT_5_xNl+Ys7_0?pefy@J zf7Os(^{vEPDFuuuSCc4e#LiH3RlA~3pS9Vpu8$hAx_-EzUH6X1R|K*I4SQeWKAmQMm({ES`>SM*i-f`57S^C z@cJ_1Z;1PoH64}9`?Q+(wnCK!GqaquTfNia9~yLrWi)5Aq8aK8W_+U%67EJ+iA)wju z$sh{Ti&YdID_^eqSu78&%L)Bm`}NuEW{yNAN9R5=GghylQmC4$k{Qf4Vtkk1`RlpZ zG40%{%^Oe)t!OQz@C&jWYP7c34pGZ}_36y5GWYUD`gBXt!I_@@`STVv*C0_D?tn;3 z#^y$|)mNb~N0Ep!OONTqeA^sQ7Y(LFUxLR%T~a_z&Jz5y?_pv?y0^@2ak#^lUX-k} zmm>45f2=k3mHbzg_(P?+Rt_crgomBWiTMMq-tqldiO&i&Q2~7;qYXmNF$v-W>nHE0 zxd_36Q{?ZCq@kb-#Vp)yo5R~I?MBuOL^~sio0W7v=3j5Lr+cv(65zLfQFL zQ32D|0p8h&t==vO4k*5~aV-c0i6)w1PP#a@4h;OB==%+An<9@z`5ET; zna7*pB+aJH{7M$cr;KCvgx~UOqpyl+@st z$7J1a;eoFQV^00<5o5%d&rJ}?sMTn3p*2x#QeA&P>Lt<*BOKv}dq68MwO^14%F&I1 zhWROFZ%sGo#-(UNx)WUVrgdZnK+P1UUuqQY3=lWg?=(;a4N3U7jQ};X(Vbb0zx)rY z_NI?ayfH+QAhhiP72ceNfR>!(;1XptI?>nxH6^|&K@w3ZiP1Z+%7AJW$^>2Fhm)Hq z6lxo3j{+0Vb{*y80zvp6p@|GAYDtoHcNg(3D6Z|tw&Usd<9_PGkRb%(N5R=|Ta3#L0oLM@wRF9Q*kHJ&;wLss63*d?L>lzP#e+Dqkw}Z=?~pbRc8% z^+qp8iYvv?NMOnI);-@E8S5VAUw`fIFbaFp{4Up;MM!@?6G=O%StN>&73=pkh`V^J z=1HX}PRVbY9_HkeP-5<*j<`ZY^dgn?;>xQi%g8_(+iNKttXSMtkJMGUaA6^9$8cWQ zZDb&jir_dVOXE$IFMxYT{IwN2kYGz6WixW{`dU0`}6 zRKLRK)$0g%+G%j2GU)~)qu@!@acRh0IdWs(+E9E0Y}-@Dz320kb60Bd+qGM)8049S zDy)nq2|714Qi9S$9JivTdbdK`-=-HjeFFEnm*Uz@wuUOpONb+fX2=T1{3(LT5 zNmlc?nMME^VEeZcJ)S{&AzNiTWoFgel7J5HnRxOfxJiCvK*cRRZ>KkYF#$s0-iAKO zeqS!LH8pAf5}ZY%46-;U-g|oN>I1GD0^?RZ~3o;(PzO9)Bf7x>;l)Ep!0qUF~9WC%3#_| zm>eqKWYR*T3))5OrFQ%TD9IR4A+&3am6cg!iZ}`j;>~B@%07Gf{c$Cm*AKw`*AUyZ z{rtM^;TZy(jHcs;TAyOgP5XH9r+(Cr_mS;4!@c&_ca!J*T%4&!Vcua(YKod>9_=%` z>46%~Mms>sgWQlT9Pi*?-F_t6;m#}vwGPrM zOo%}<5QiC`;6BW6iQINl!V7SFJwMu&gu2Ol;@v8xJ?~+&-+~=yAG(tzN`f*Hss9I@Lc2j<>ENGI<-fXwCHingA@>0riNl0A{4dkn}_lu#-@Y&KI;EkC< zHU2)Wt?gcv2f+kOtZ3hnsZM}cntZHwT80k1HyUtr@6K}X@NOdmMy}3dDf88w>SZVr za?EZoOi%b#^Fsd4A9Gc)2J{K0Nu7FZNmFM+skbb!FD|UQn9ZI0Vly1djH|;hyE0!Ti=1269+sNkH3S5BNhcs{$0KQ*M31G zX8%A}f$dg59S=5_ej0ZN`3u>sp2rEI&aVMz?*8fEym>I3VyE_=1pY{%4pHlC@E1fY zUhtB%HvZC9BJybI)*ISNJcZV^U9~maW^i~0NjKaF#9@n#Kw-xY1X2lW5qzU9$n@{< zw}Jm(g?oFtjqBp?9jZSv?jeMpFr6(z#jI6ps!tSVjK;w!8 z-})ofd)C{x#V_CrO@;nzJt)KHnKMq|ZVqDnoJ+T?{7!{pO^dAq=Q7vM_NbW3tyNTj zEM}$y6i*237A;pA=>{jITuYG@bZO(y0I^htc z_autG@W%aDwk>itK=uE2%rLnp1sYZYU8Uh3ucI{jvpyjbPQ)lKIGd-usuF?}P&t&a zGHJjtT_5QlQ+(DTl>l+4%#8d2>{@1^yonpi($(q}G4eUmVWmhbiV#HQ9?KD-%(Cv$B z9}n*JNcZDMjmi>NT@uL$uG6uau40z3ygFM1=5(nmOLyH~2RU9{qmD}-ep5Ep8kq@e z9Tc?iQ{(4Qjz7XAAM(+%cUPx|FXvB6^+;H816;Tp1Z*Tx$! zbMDn}*i-Mg3ld6QE#D*wrof?DA#2+n5%kMebW+$90}a< z_$EMnkSS5wO!HEf>)Jh5aBLT}--r;n_^TPKm8Z;^_M4p!cNj+_UP@oLasCt+Fhgc+ znAPyJt5ylnj3{UYK5yi}J>X{P$k8vOjo{cWUkPIYZ#%%%?^)ib3+Fv40HDy|V|sBt zpufNsX)+eq-HELPK+`hg3-f8gZZF-FIG>qe)q{bWjh=?6r8RQO7weDM<;U^v;f}{d zHtQD~`R(}h${GhL9Y+J=9AfpFQCqB^InP1zk|i!*p)bdC^iy54(eJEtixv)dTJ6YA;b9 z&FG3`pkqiLfr<}TpYU;1ogEhgH7 z^W{f}I?94$T(QVAA6;-xv)d5K*n>cVM)_?ybswOlYW1A(1NBUVpdWa?MM_GL#z!ik zu&$&cIHrWQhR_45Au=!%nu)Putu=&o0pSPou4=~!pD)Jlg_JTGj+${R$(-K+`FAWs za)T6u$vT1pyB4-DCSL}?`b$o_A>4c@CaCp9F2@!xasP~Zl;>RUq#tUI>mv2cTH2TW zC=Si$b3^p5QsDt7vGuP`mkj_v+69BWKXA_KZlJZkR-2-#JeT0sc@UJ~n&oH)3Vh$L zU;mPvj+*&jcS%?0`2UA#O8Gf@46~hg{>!|n{vY#3!fi|BC2Kr5fZuuN_Vm{nY88>U z1~D$)HK-1rB^cRni1%$UMN-OjnH1BlObr#∾-;%~AW>?ik}K>j+-Qb!g_jn#ZiS z>;@E;4V7foNPGC&>HF8dp0OEz>WU^;yB6)$(p&6tdCidN*~gDw_P9jI?z$nXI_Qh4 z{ItuiUBw>HhUE_w-2Mdz>nc;eR`Kqa4{Mn;6M&}&qo+Tlw^Ho4JR9n*1!GKZg?_A2 zrMvcCXir>k*z0ybY*;qE6bev7#>Wr_VOe$_oNx_se}Y+Qbtsd|$Vr zK}*vdncr$PIqVs*MN0p;ZC)f(13P*^it4h&oLpgI5FV0nqndqpJQcLS0ZE`fSu{5Nt`udXImFszjqgha?6*}rQb*2h5|$l*nL`d18nAdRe?#)r z2GP7Z1q%Q8O6{UEDiU}X<$}NV2)D*pnkJSeyHYhI5I-Td6Tl19gNBn_CRMc4%iy0jJ5c8fHeK)v^11b#9@m&4*$N8I&Z%LIsr@XcE${!5& zEn!zWo6gLqvn_lvonEin@27rKm#CvJlI{O6*B(Nm{wPo8LVr6*1vMshe^{m^_bJKB6L(R=uYm0j@h@W>^-O>B@ZT=)wVv5p>bms?js z{C^AQ;M5D;yKb?Gc@wOuqfP<)G7S|YIL>vZ*~hj=_f{A1H< zP#g|;YWM_+Y*YEyI(_tIAqG2&XS2V${f{zA@gMK_zFcf^#LDF=x1aM=fo(Y|aj&Oh zxeG$U?^wHQ?A+h7%yhS$%)p9NsF?Zp0fCja6Dg~kO?Q7?u`S7iV%W78qeVhh>uV7P ze=~vwUjHK1kI{4{8~i!V#N5}4O=`4alZMRx0EJKhed&zw*{vRhborIzXwi4C&gRIz zwY-Mq03jjqT(gx2i|w%ps=mOm4#&`fbpLymF5p)APKnb?%_ZH;IW32N|1)IdcFWt$ z5f!q(O&ghF*UpxqT2nJ7PEd1T`;Xt2J}H6QtCEVn#%`o@eQN*;ba~UE(@7oB%wcCZ zYe{Tck4)cPLq#;ABA4xyv%kxb|05oY;@e*NC*TJJN zCAPBnbba3Z<9s7ncCUXKeyg;9nLdR&fO*aT1(l!GFx}`p>7!B_QPPiZM$@WEyqBWo z2YF8iCJj`S4P8yXWai2kthJZ0(8*4TG}}Aph0I}~emhHkBp5l`Tul^W?R%$ewfjBh zSGCl=IKr1^nD}_t9cj_YAx{``MG|4fXlvu0DUKAYo>8t?d0>Fh!c zyzH*8Y`{^2SKrov(o<=#pSs`-Ui4_3+MqJJYNh9?`CRQ&m+3{vF!)}lLDz&odm@)B zn@o9#n>v>#UMWxJqiDDy(A#M;JIj~6@vDL>C_}~XFg~`MTjMjrC3JDEn z>`mY9?co#k!Q1CdZF9$~vq{yMFg&Hv0%9DXdbQpc?LSO-uBc<@tBB9y$6lnKn)|twVqBH|3AG?WM7EmK5n|qqeWs zBl37_lPe&&Dh^7dbx_D*>9DSU!Pgrdh%*#R6x}#SQ<@bQgG97BS~RhLJ1eC3J+bs} z6jBs)0k>KXsXE)bLw58Dzf*>)a(02HUs56H|^qTb7qzBTkQM)hix)S((RlkfI9P zqL$eOGK$t6j_urN(j{sQps-WhlVe{A!6EktHw^!)&rkryI$$f zQe7SNB#pQvTSpImK}r8)m(SKmKQelBoCm(5FDvZPS&dp^!O%0o>YvIeo4vwMiNjlC{X=#P$gf%&9SjGJyZ{v}SN zRwai#_MbkS#XRX5dBmW@{`Xd$|LYDH6I}URrUj5n#F`R7v(o0aM z<0;6D#YTEW502g=+6k@?n&Mu`1;W3m*hr19t{l=W)gMC3dG$7@= zQA_ai+O%vZ_UoQK-aVM9zZZGDQ<-`#~{8aRD

kd zE|P8%x;ZpPQ5Y7C580cr%dizQatT6$w)mV#r@50k`OXsCDl%~Lh%|Dj=lBd%CkcUH zo_ydGKMG#TpxEQ<`xjR_*gy*4!Y;B_HjD;EsFNH_+?M~mThGnxsSatpZJqML+g=X++qUHV{f#H#SAv9?6xMPh|aBzm(* zGR=Qwf>KfW-i9I5v@FzcF=3JQLXUHmI?Zp3ys1LR$Z0JMHMZbfLK!G+(DNYrqQ@uU zcF&N{-nv(8By~%pHsGfT?3EwuaBOwN^#Z>YFlQ0$c_P?({pMcu+4^ixp}Y_ufx~Hq zC)_yTnCEGQ(yxHg8FGCD`R0%0++TU~&*`ubP>&X{oo|iDBin2i!0Or6snC2wblr<_ zTx661*rqQ%7+&_V$ozf>LF!&>%B7_=hI%P^scrpPIWLj5CH|B*V7XcqdKT#J%z--< zGw&)&xiQkOiA`JNl>*7&T+e26%~&nxYZv4S6n0inuSdjiNBN#Olu|Be_hxa34q8y5 z{b6Pblk)R%A zmMD<3&(TItdmuwyuQfs4;)`B+GlqGT!dY9!i&ivAHhIL;>I%VjzKUSY z+sAmS6V?ve1>+1a=PJUQ$IO>A&?*QTUuTWF4>XW1*ikK1-}1Y(ThkrC$D2#TkdNuz zPN#3moEgCpem(6O)ajO?rIG4-2`wA>guhD~fierQVdfByYf|&iqYnOzy3YF6QGP5F zL1HHD;TNzYW1CLj%TKcBb{_&ACm&3t+;`#ni5vm%UN;m_Q{)THi(5wI$EkNc>2mK< z&JL>h0+KX4;U)Xf8C9iPQQbSdOntS#b3tvU3ebmACmSf#=Hhf^exleK3q1DWvt>B? zeCr(rlpY@=JyZ~@zdiy!M5eI5l|RLMMA4=8J3SW{ic5RW78C)p4v_N876V84pIF58@U$P4rhU-|ir$h- zCG{JNOv%|9cS*dqV-V}{(xoaoH+xm`>704OT(xSit7?+4ai(KAGQVb)ZbtB|Oby)< zd~`qyG&>;^zq7u^IHb@#IVbpvt-SoG_vQa0Oc^Pn1kck{1;<1n2IY58t3bU8F(u;**j{r=~n-Q)E= zsH@4eD7$!;x>Dqgich_frV$z|-=pD?`WXX@PRXZQKqXm&1dMRGMAGS?)YH=z(Kj;7 z_r{K$b>iihR26m+6mKtb+38sACA&AO`;-(hh)%BMy9zx;>_U7B%5#ZBoWF9daaz)9 z9ap+ILne=U2v)vYdk=yC^8)DpM22FYl9bxodh>^DyowxG*g($l$mweBDW7efCSdCD z2Zt~ZU2#a&c+nc)`($~iD_?{QAQ|Q@2THq-{G;>JePXNj;zt>>Q3 z;W@EuRPGB57Az=L=m(RFQG^%!e%9Ha=3wRP%_(o6#sI<2+@Yl|Cgc@@aYDlnmc33@ z%_^P^8q4gE54veu(s9wTp&K{LS?zDDrW()Qzh7GxAX=uln=H{o$E$m@7A3L;gFVEmvXv| z(CM>F8=HkuCg6MURO}NSJ5kEh;NK(CmW(I&MCD{#sXd;S6`wF$g9Ygro>Z&~a(>3k zbpg5Aqf>^`PP05mbayFzdBB}7Ik6_YpV6XYP4xL-i|>RKncR>t;u~mb5`5ya7)MMx zO(B!O>vn@#=9Dcf{1tcr{()$f!cqcFnBfu)pMUcAytw2I%S`=q}IN!+2dQ zX)VXCR0UPz|td79qwUoN}`yK+Z z0lmoX-Ekx^EP%bts*EWOd|fwCzkOx!6v79#%)|)jqlgaVOPA*pUn-_1_VI!+NjfSay~;NuC1<3p9u-0ck3WhX}8RPNX_le{#AeYHs?x+N6l$G zwez;0)EmbTM_kda6)NYST+S&MfIcpH3ST}50q#+M;y$ah^Ztw&Gw0qAaynI=8!6Gg zG&IBCEFXHx4Rn$Qa-jK_T+BK+#slie?UAIuTI-_7qwZ6DZF|PM^@j>Sv=k;%p74Nt z`x+x&H2WPZK3jO$UAw<0y(a(;nkCNry@vzB&aAP_h%3iekl;~*G%#moN*d%7IZ9&i zMuBE40<=;ZMr!}~GY_pJV6zGN>>v7njild#4(tWxLB&60KU&)vE#qiw`6X>d!WKGj54Q$4S%o^jk;FDk(H{Z1=Chm+!Zj)%HFQ zjebBVT=LCvC+*|OTbSNTDejRLQPFkwKY3+H4$iQ*_KiAF+7M!qbaB~g{UFLZ)L1~u zvAZWE8|t)gd=~S*^Ot#SJe5a3rV62fWv2rW+y>N8O=!*j0FQrp8|{Z&M~-64JK+|o|J`oUoQHS zsRYZJFcc1ls;}A^uW{p454JL#f8ewwj@2BXG1_y8eRI@~DX$4iuEYupf0&sPiR`sKkbuaVF8oJBF*j1XzIbA2uZr(D^_ z!Pz~AopCUO7b%GKi9NvI?p}6DH(XEehjo4GkLgWia4tGn7qeb3;j5YOuqX-nuJ9Sxw3Wd9x`~pWM1E?c_?nT zJpv%ad_DD~8@k~1risADny$2L3-WqD*B3YdYrs|Gc$&xNu@TjffVb?X!d#8nmm|NZei2kdJ>LGJZAogFdKh!l^q>N_ z?9?BHp|M?JY+%cHanN#2Ga&~IRYJKK&*KW?y{^hwIs}Vc&a`^{k)v*wc(n8wlr*-+ zzh`1-W9N*F&aOM8080hWK3I-$4g-CKQbiMvgN_GSlQCL%>A~KbvS!C&ceaxxZK>AM zjDH_I@77a5UsU~F-kf`i#c|<^VH%uob4~qQmZPb*AQzp~m<>H-i=yYBn{U_?0P;s- z`=<-KLDFASv~H#(<`iBEYG&6qxRxb;vv!f$M_{80(+Y2~?-I7xobLv@kB{TE{rn-k?K zu@#+VXE-A`rl3hd>+p+o&Lpc7*p&~eqXoG`cj<=2$LAT+Wg6dsXyv@f5{vmy zu7foJ=`Up?5zC{YV^Bc)>8P3P;>RwsK&3H4)CX ze_b$+ExC!psM~r+OK377CHmdpi2B1Bv$jS|;`w>_&XiAQS(y8Zw1fqjyH1|z5p3j7 zT-X^&znzkTyivo)I+*I-&^q?3+EQY)2OF8q{)g(?a%jJv>{nkMrJiPrQ8G%!hw7 zmvfGvpjFJaEi6%WN=m~e5*^vfbBRghZ*;ZP{&IC2zSxy!=x1HHhtsQ1jG2nY4d@zO zwZp4-EUyJQ$E5T+upqK)++BjYrkWpk#AhkD>J*sZeK(kp(UfLu4p6=@Q%eB7=i zVhtjJ7H6Y@ABA?6x{LVeAF-*&?fsLrs~=^<$3E)3>rIqSY>ugO?|ZbR6X(qcyw8U3 zs}Q%pX{^J!O-Vs(^ezr^B~F*|gh9shugR(CRy&KU0$oGQ4F0#`V`3l8G-j7U= zWB0oW4Ol#tX#u?-EiEi#+eva2MhqhQAgOV$#6hA!zNi$|TaiSdu6;P&s`GE+LvywQ(ER<(;+TuA8$O*q z{K(l=J^@w?XW_M!;Ymm8S2I4h-St|(LDb`YAcULlHU}ihaG6E8tbr@m{0l-3g5i?MJ#{gMK>A27JiSc*d+vx|5Rpv{PHtoI~#p` zP)4M6WR?A?&}U31zdSxO0?}e83j3xjD4#(Q_(X8XkYk#pZ>)>j)G6|Y`Vy-=NtYmi z@L-1gxjg&9ZkJD@qCWL7o$Xg`euXKMhJR4vT)Xe-aKPs^;l(qfF~>jp`=?S571}2P zGAmtp6uM@zcem=c!}`7CN0lvJ`I5&S;We7EaX<4*S98Oc#L%F%kv?-*5e0Rt--k(y z>90A(n)ShAEuLK;h)?Sc;}VUiQZ_!vN6a>U-5Y%g<|c+;uKpV*TZf7$|w>wnZ9|Fm^-<8+&h5P(f4$hR;Gh@TX$;!+p` zRU|(?T7BKi`tyF+Qd*Xu&?ClMwtsZ9`xYoC%G^3ZVa+>N)lKMJtzSxGo+@l~z!>CJzbnm>&l>y8T7sZq6PV;%z9mqs_@@@JVd9gJ2Sc1bW${t5#*x-trZJQ`~K8#a~%J-OKl!`tye8$TKS2_TMJ z)s!L^K~nDHo%CN%@tyzgas4-On=jx*)-lXGTR-b1GDZ14+-PC@zHu6Drc6`ttO+Xi6RAsZqS41=005?dv8HoGw26x3?rNvlZHv8A&eW48@ z2-!3L8j*M*slO~=b2qnKZsbkwUUkdl(Pu@czNSmjk29RkoXXf$r&hJoG&c`;eMwW) zV?2}{6mG<0C3M}4-Xf@?9vYJC{jwrrMOdO6Fs#|ix zV~1LEQO=JSs^aN|4yw27OOW?e1IAMR=| zZIY~H6E{gt+sT&Q_Ds=8LO>)+1UhpWWx8~(ax*g&Fck?K2k!p8w>Uf~K% zR-*UTM17R_{GRh&rp4G6oQyh8-udbpNlM_81#v?Yb0FgYq4v3;iu_e5P_tcK;WamSK)hW zuRLYP>0o0DaZ$d<@-qIv&fAR1cg+0<4rjJq{m)l~#&O3W)^A4jk8966-%Ah2(Dw4y zNC~Fu|HIWopXU4&fq5pSjV}rZCkAu z{&b#ycUU{~QB-ZG%pt}~;&-i{<+FH(9&N6CP`T02Eo>moR)6+o7Fmh%#rU0%L=JpK zMYyD!PvQSV*MG*d;fDX;aM4Ozt4i%zRkS5W?Gd9!t47hmP=Tj{umv( zIgL(Yls@y#lwYNHR|HW@;YuU{QFY`7ZH}o@=V+4#r0ce0>TEZ*bL1k{?KX-+pqdZL zR7d?}Cy3@nf@kWB%YU+=w`fxtOFYO>W!${$bLUld`+TGCO=h+hyF{UX7AO4LYNk<(5y|aO@Vuq$;Q9u9K-jG`O&bZhXeCa7)@S3{! zC(Xk#gB{BxRH?6eoDwXMyzeXMdfq3n|xl)?@nvQu)NL939A&4WFkTSxV4teX?Jryw=VVHH??=3Dn7K4sSG-H%Fp~2YQuebouN#7g)s?M%{Xj9Amu~8#OK=@A07-z`X zje;-O%qj2bL)p>B5VJUiO$3Dn6AM-Km-SfO)i2G5txVj1CV#B6Py3bSve=VLwIPqD zb8W0}j~=nIIR@I}qB9`m5rMSD>%@T&>?3vD>89lQg9sdADUUOcujvH!hEqPc3`LP~ zsv%2HE$P#ixXHfDn-h$Rjp?(=KCFz>-BhWHDQkQD(=5$cvJs`}~Kw#M3X z{tacJs;^{xjH%RVh}##(d|2E$CdL~smM0qx?p5q?&X5m&A9In@@btaaY;yO- zCkMd9RXL8PI>xkHa{Zr-ircMli_tU7v01y}_Z7AhoQkAKiM*15_kWpxQk_k!$llET zZ{p=>ZCqLE{+xz&R=eKyoqi1~y)UpGioeeGy|>DXpIFUH|8uxe{y7MGAw6Rx+25>< zc-Z_*J4A-*O)#p4lqIT=f(+VyNLNniQ5CoD7_I&8F#;l*ux+g5ZpHcaS&l)JWgb9U zq;G-U6hps`4}~|dab!;wpu4atkNsZ}din4SwJ|%qQ}pZNpp%&FJ3x)3LDIz})>Gq? zQwHG0htb&OEfT)|&JdBeVj0OCDIJ4}2nqIlonZDFuwWFlfH_}hRi0~2cf*4 zoiLA1>LX>`NdzG;5OcVV&k(4Xo4ZO`PZk}8dkRg#LM~4*<#zl_G+EUanXO(|yJVneL?CM!T&Q!0!@8&ZIFwQ-R} zhx`sqnr9G-U{9cHl=8V2u_FpO(P8qbAB3&klR6|U!pv!kav`q54Kfr(G@5dp>eSR8 z_GD<6rGZux$ngtU_`ycdwq#}F^w^gg+{=SUa$2E5n%j-%Ys1X)9JL(iJ`oRgMLsg^ zXt`eK+m5`N(seukY6Y^Bo;s=yW+o2G>9qdCk%0hB0WV%LM|RJ3-q?2sA>)1jx_8HF zoCVZU?@P3eln9xpL`vco^!U)i=EDl-P2uBo*r?8R`qXb4^KbZqZ!1qF>l*pI%D^>w zMpKsX)jrd*!1!L=^4g+&F}ELwNflS_Qe4UnS&6c!$qPHAUmBZ|%FmJHf4Ts_nd&Dh zm({09`qVRr59G8rI+e8yXTyoXCa3Q~PoMjFD$AHH6=26wWLstoFH`+)^65_A*|4VU z{_9?R@5lv}StD_{{?gS({_GpS|01008#Et`?ub7w52|%`-IALC*gwPdWoJ0eX*=C~P3Q2v5#;tl%DrE8g1p3Go1^r5&N1*|HF@>t`VJUL>FPV6xEqH9 zz~kFh_x$Q@_1yJM`FXVPSdR=S*NSb4cKN@Wme$;FmrlX6Plk3ab>~>1`9!637zwj4tyNupE>`qxt5d% z=8JT!0=c9FA$tsId~FD00UHYtr=HSFE;Q&dcq9iRpbcLDoGG|ptPf+Aeb$PqV%#JQ zJozr=pS8$`M?gBCbi>S^UFN@#92tAg(N9Hra&Zf!WoB#R+dLRk&+*N z6@%U)?8Q`JA0kLBU4#UEZujm6%yeU`6Og)ovzV+4w#)sV!~0)pLZnz*#He4a*D)v! zyF`Dj2KvI43B;SxqnvG`PDd*ns?e>ZH$xO#r3*1N1|$T1>*5*PIkb(Eoc&qxBiKkH z_*Z|O?Vk5qxySM zG>(wmiX$PJzw8-`FRH7~^1tWQwCAgHPbRpChwZs5zfyR>UWkVXNZvGtdHGC|&8MyG zG=7s=GB|uIiE*6TlM?n6%1Vl~4n`mEeuWju8{PnoL<-&NpW6)1yQG%~TXjDFqU&Ve zq*f&V$50N?`TIdU09!L+vq6_VW3(WQF#`%0;=~MFqnv zaf$ok98wy2+SGahiKK9<{+}X2o)cJQ{RstPBr~j$G$BOO5t&9M@4BIGV~OJj7_Jq} zKK2p28@{b9Wx7G|;@}UbBY7G+`Rd;})e}HXQQ3MP*q4g}^6~JE6lX1(7DN5#l>ea~ z>|8(t)Dr&AdM|pk&81b?+~TnQJHe#;82}vyPee`yr2TdTZrq)eINQpd^0lY?{Zqm} zpJS4D{4?1O%D?TO5}86ZUC?)U8`KmTwYU6}dsXLr$V`Xx)naiQQ3(K(2>qaAzl3UH%Cv`-hs8gK28^c?&#-UBK&qAyh}gOTHR-lf*&}1|9OXVCR&<5kt$LknKZ)B0w zgg1uRZap|uX-vpC;_QrP{d_Y*p5dSGGO^w`e@$~S&7Bwp_GZs_Sh!Xa)Cd6Nebj8L zFY#bQ9$wD!ng1_W_vHVVtMj|!>bj=rEvLP4UeonAZP}<*H2qK=tvZfxC%QQnL`yLi zQY`0@+wI{~UHM8e;Xl6YxJLXz>Wi~?=ATZlZq9OmSQd9_j?YIQ)mO?xM;4_o-}nmz zXG2hLw_XH4HK0g9z)Ep#Mi57FA30dYiH#2A;~C|?Q_9OOdWPN|)cv~Qi(1{zIQ|3r zH#uUv);v{qIY@^*tA+HOePq2XNLDFW`3~~8<}|vvl(EpbzQQ+59oKiUI*a!jmBbi! zPr@bhTA8r_NQ~p%Fr6{+B{G`80(G=GnF>XX_r+e4{vQ-gIJY5*Kw(77EA8}n8_1CD zEKy@0Qbpp~f}wUlnmI0UBIan13&J{vTBay6AMF7t>!_H-iDS5;_j9@b&pc-{%Uk#g z-j*Mhxr%py=gs!S>z~>GVSvlMiz&o~TDp{D+Nt-G|CCsBQrZmpCNwbN+%X3NX+X?LW{XleUVSYw+c>Nd2b3I2(WM6}Y#wzZx2 zp{PH}96&hx)8nnhzQw;sk)Mu3(myNV)nup*&9r|XsV>gEd)BdFmjs=IZLyx-WT!b| z@fHu#T?%Ps2oI6i())d$N)+nYd_Lg4lwspj*e86*rkF2(6+u=#V%4pp@VnSHD}V>K z*;_nhobip*+XOz7s%DQj&GaAsO`I!jTAFA`>%Rp^V8kD&>6lsiTSjg5J=L6NeT#ebA$B+E@uazz_SW0=5V#YB`SAi;Krk z(y4jz5AIm|%If?|-x48|mjAIhY3xdK$#LnmDg%N>7kCURII!`blX)30`5?&;0L!9H zY){98n92k!sQK5=zkV+-TNd@-*eIvnOjHQm@p>Vhr=0He!j6Y_gr(0+*Za)MknnMxR9c*IpWr;oBU>dtaZV*Rv?SU+S8~jL-6K%m5I{8ve01zTi@@|<9 zzcf~kF?w~l9I@_kzaT=lWr&P~o)a^SQ44?MhSfQqY|w`s?kH?{Zi5$x;dYyYX^A5b zr$0re{p4VCe#ZzRr)9~nMc6jsD_D=-0{8ZkDYgw0B^3$u&T#ixwgAHma-0tY85HXW z45@y_rWt8V#b}@9Ge7|y@ASWJ65}>GM8VWV{=5O%%hw6Ztq;5HEy%^3@o8^BFB1Urmsq+?s$_~v=k;csZ+!I-Abr$m8+Rq zh!5zrLbM=S@^g>IWmm8c{M(1eF2N28uvV9lBP+~R`f7$Q5gNaUVkKzUu~#)mL0apG zVPxKavv_?Z&*~eA|HJ`e3S)%FODu;R1sU&y2LE6rh8?0C=p`3zKOQMW1_%nJ6Gvv5 zkCbp6{G~HoU68j0)0Msg&I*&RPZl|Ex4#@AE+3^%JTtzWS{d~-EVy54fQ#3iT@>k< z+>3R9r8j@J_?XX)5=Y~`3Ka4;rqqSZw+tKKxCr=sw9wud-C0;$4a~E7d%%t{67N&6 zZGx`5op#_C&Y7L3fmp-k*bfn+5+aIEYpp@E5)bmoWTg)DF7kJ+wpefP=p=PYmfOVk zK%3pvI(`P2`Ux6rs@MlYqdUjF;51*!KBr!?XT4=>x_0}*HT=$;;Q2Si=)p*=f8c|? zq-wD1S45^3PSAkh5kP$S>dFqoG8>8Zs!ww$TMid$l=|%UJI;%*RdMH(i+PR_`#PsZ z6ES&`(6O@isad4Xf8vxt!t2o=`ci!^O@|Af+kud{Fmv-q@2oa?DHxxdomX&6dl#N) z2uf*c=wF4rMlgyW@PBM+Kc4a1O4q$lIFb)l?Q*02_VTQ!kbV405&v`ut$j@5cq}e4 z5}DvW$qLpzQ`?)XTAy?dR6~R|e2kR}c68s5oz3!)MaYrA@TeV%N^_xz&$9U0n|1B1 zc$GA0j-g`0mf~oDxPZkW@nKbA*o3>mK*S7rzKw5qP(fKbyQsH|XCJSKocpbT&Z7YG z3trrZP1^I;!K&4sY`^8SXS)Up3(&gNMrnyXbG##0FRli*M}z~- zaU3^wq;^H|bKtCqCh^+vx^j#Fsm$Ze9+8bvuVqNzSwH`~9oyvlD$=29Oq1H{UlOH8 zCpMdh8*+JsLUpjFvSDqK0#;0Ic*{&(u$$>}Za(x{V<>H`CdM zK4bCA%*h*t8(am$pL?j>A2tKou$pEi>ch;xj3^bBKXW{rh~~^2^A;Eb950J`h`#$` zdh@T|mQq@M9x_3OTZYuhwvi#MBLw`{BtE<47F6b3Pf>B=HSbY9e43sG0F0w{r$CI} za~}O_GO2!t)BQyf>$-_wJbJn z6mhPX*miv_Lu-2iY-xc)l#B`?snmd<6WeSN`2 z>Lqz@*;12T^I^wO-Dmw6@r0AQ^?s1bjx}|ug4EiIrT{|4W2u{KFsY|N?$FTDdOX3s zbZYvOw73V{pP^C#^%^OTSU1@pRaq+(`u+*6w;6&jEjT7X8TA4N7LZU_L0N@;y!F7M zfB!QB%F9wV3rBg0!^yE!!q_rxJ!N&bOYScp%DXvxqrTe#33vt_IL>et+-vdu%3s&j zCtmZ4$3o-1Cbmf7+?7v(MV*xZ=Wh;6G@ z-}R#@ATA*w_Ra$MJ@J14G58M%2tNeYd|51sAsTtXSvqsOqo6hba)$^jbCNg#CpgFF z;y&XY8cjA5Ozu<)u^s}SfZ$y9ytMdxW2Jf zpe-9BI)8ZuY%i+k=P6YR&smUDewH*vwqq_``moKHU!pi%PZK%HIi@jUG*UV9<3C5U z=gN>H-dw>n9ioH-0tPXE9JhH7%p&!RBwsb*lxPGAnN-RS9lTO2pk4lNtmijTt?>PS z;k~A%v%D+K-Pgt2^$#|V@`V<=NMrHs>%5H4fu@nFawiCM%Z-QbljJ2n0_*f0zkWn= z3C-_Q%__-URXHly56W$&XRXGpbk#OP(T9Q!m7u_Dy=4r{A^7b^pEf8&a&Dw@IApNVwtmVm|=R3oCS{=blOpnqHNE<5EWO<>7(TB!qtPl;P%CpE!{L6 ze42xjZ4>hDu+0@5oXn`~-{hZpkYBG-G;qE)JGgSHMX-5O5vg=pP()ozyyvLB zW!y9O=owDKxP;7WSD%^s{fcpKi`o_?ubr3jSb43So+>0gT$!QCg+6@5<(@xVy?HX0 zDj8BJ=U*Q>$cwpi3qX!#AQo2j-IUu=3E6p?JFgBV`Gh)VkeV!TY_=nw0V{Ls=K&KX z*-1+I2%uC9)ZZAXzin40^^+(a>Kx(+C7T{f2Q5K#fl0>xD`{b}jy}g<*S%J5lo4KY>v&}jyJEQOm8bsLgt}bcaaoKKR80Z~ALlz^@-S12 zs5KL`1t5Hwb^Ql~cw#UAJs%Mi9Mw0ivw2SWzy|=?f!1f z+Tmh_r&vwI`B#tiTKwvIuJsO&D|NM7uLE-yn|x(VF9Q4Xy@7tkcwYMWq?50{**0>y zu16h`J21}ejO9jt8|pY1)s(fqZA|TrVXL3==8g~>hkFDb8Zb(vCM#MTnE6TTb@5|G zvV8Yr`xbL1m_S^CZ9XrLtCv_J$WWZ&!JEBXebvn8A)raQSjqy@ZsDo+!>1AM=MO|* zClHJ>UMy^tpBTy^)~B%L%&8Kj0HvugWF<(A$kkR zihsL<(aDKb+E6zLV(Fg21}L~|flCWzeRw!AknuUT`N^d|{3eQr;k*5#zk#))nNgr^^#zc93K3q3zlJyjXVEav-K-r@2~%# zY5Y~|7NA7sN|Wft+Cgqx!Z&LvPK;HF;jRC(rqAd!V!f1_YWms(;y$g!$q$OFpgWI} zo)A0r7F7BlyT?e>#U5J#xoNSoHLF)2|u1#0|zoD{AUhM%pDdB+a3h6^z#MNJ!#cHiq};m z|NO3Qx_FS{{-U?Vf{#*=L|6Se?}fu($nAm!oA*m!207ps=>ARqkg8;-0*N$_WHzex z$ol5)&B#?vGT$#Db>i^Lrgr@IkrR)@r5n1bhyHQ9B>NQbeDL1LtP(NfNUJ<`>l?Xr zDVv|w0cwHzU1+YLJR%g@bMQEbgQg}HD|&gyffEgCU)>IvmB8N^y22d)yR3N}2;+%J zo-YkmdCEJIq1@#ohx-&~PuBiyNu!l#rSW@w8$>BrbxbqiFA37Y`J3HSq zR0O`SLJLM%i%vd#B08CS9H-A*)BZnq@PJd1OL`lgNhfh935kq{4-3&aC;P z#hskl+2LETIupM{b61Hc>XE|Nf@Uc|WEU`|&s9yegVrTV@>1^$ENqHkRzqf&1s~Zr z4W&6>1FYH0R422Rhkuks+S9C0w?`9U-mt*Rc+E7d#jLl_E+B;Q%?M4_tksShsH0%YaVgm! zC1wqH@xtD&*!sb2M7o6rrt_I}WJq&A#%uGt#4ib)GsY4o=)h;ac zq!Lo9;t^~jJgmo-Gj79=k15-gIc<$hZo!N{qnPb7qc;fd`@fvGHXxKi)mg$Xs=#5S zfZi6C#;n+dTi3qaz{?|lJd8Xxnh;wPHorOVP3eTUL_u)Oo*Yz!c=)Tq%ys%%8Tlny z^kfs0NJB%WqaBp~)D(7p^v|WwGsp2b*!l$Snor!mxqRsYPrI4dDii*z!hwFbi z*7aj8%#I?-?x_BLLWV!JU9-`eW4!U4Km5Bc8rGc^D|c9+qHxm3E&J2~=|L8>XW;+K zN$q;mSPK~`kKLy)YF+#h!# zVH5$o9`QZd6RwMT3_8dlJR+!ZxDHyq0P>^*|5fYnm|}Y{Ww7`Hf10 zFpJ^?!gsWouRi#bCJH`Z{ARlUKOElid5Tn$d+)>a8$%KPA9?#c24&@|kSBYHu6n86 z({;1~-CPe##2Tin2VdW9;h|G{~7fd40)M?BU3r=~{CMNG#& zUaG-6IjJthv(3tFS~r!;pxjm5R$1MfXSZI|8qNi6n7d#Fg>LljLqBhy z@?u4oojGX#Z`pT`J-up6=xpt-KMaO+j<-sgKJgD;sitl&!B`6)4V6kJ{NCUw3*jC zlqMpHHhk-sQ6>PGHxYZZCgPAuMW%=v3l8=`|LU5nik*huVmG zzoIr>{?g`45$t41x!GAOlSAzSKk<&zmX(Zd`b*rH;`ihX^C#EIXH_Vl1>6vDn)L^p zq%zB2`5Ht4%v)^=Z>RSNDP0HKrH|4QO5#pK{FqpFED~RDDBDY3-@Ns-NR0cqs~x;U zX?po~t@mK1hb4GIwmcn>7E8%KvCmY?$zBwsYA@v{k|$D*R} z9vdoLtk1qB8eEO*w<=IfGd&eVn16?V)7sT@95w=eDW>`rOj2y;Ybq8MU9XPysro3J@Oi3hvOTO1Js! zd(!jo?VM6_f6yx>D0?yO8*eb*J8H2Ho0=_npv4Gj?IYqHPp-CC3|w6R(YmrmdN?B5$JgDd)!@Z8-S_P!ZozdOo3R|C z#8W`*+6E0EThAY7e)!M5LNw*UCPc2(n9<}MR=R%&Zo`P}3>95;&k?H}ZOKqn8H$70 zldydB*ngB3LEC%rA%;j0MkwDCpu1v}gICw1`i0_fNGs%4Jm z0j$iYMtD3;@!U$y(4a)LtigWCG)Zc#hxh40-TrE>2TkG>&k7nGf4x2a8}^6hY3=Gu z?f{J&CBWZm&)-$`m{^$om^8~m!I(rRXVjz#D6{wP{N%~rLcl&!fx-m{qRWi9`hsTM zmgvmm2-$Oc>T%xIm~WN`ByU$p-NLOnpyL0C>vEoSCTBR&0Ezay*KMn42=PyK0TD0H z1~g8vA#Q{_c+GdW5%aU2?R9j#Q|tm)oa5tq}UZrfj>izapf=!Xg3_QT#c zI6ufDEzOA!@(*m95BILO%BZfsWd(eKkE`bmO~V`lHCV05UJ|&+eVO3((Dg<2ry@u_ z%5@swXxmr9K_PBzL8EwrhQ&FZZTmB$eHJ_Ry6Jr6g4_u8&FKcH;P9d>e_2<{7B3uz z<_-T5aTt=#@JU|k12TkK&rA9Vx6kE?|BeCdOxY-3^HPj7_&Mj;Y4w16hHqv}{JUV( zaoyG(z7zFOPPgIp{5ACpLFSbnx3ZgC`QR){!gZ{wv^{lOhcoXT5Wo$79-lmQ#JO&- z(}b-TR1dn2{5Oq49AbtIK`ICNQbE&aDRdCf@<(@Qv3L^DXnY8*rtJBpBx>11F{YL` z)h=k2zn6PkkOTk=9&j0^V4r0#6D^uD&B7UhaZDXw^L(>Zcx*`hGcBeVUpmv3Z3Xs0 zhCAMzOuod5SaTjj2A<1D6m4p9V{_Av%D{Kt4YXuZh47J2Cik`aoZDhYMVw3pcSANx zH)~DC?x2>qK>fDhXZ^4L7_R0II;I;%4b(fgI|k7P=t=JCJs98j3^Spq7kbg0bEfkz z);mtF+mn9?%w>6CBKbfppvuH2`dg1FqsHHM7Fg3go1BUt6+BYN5k@)lF#(P3m-9~D zMPertUuC{?;FkGK1HL2K1e!@kV7qq|#LC7~#jp>-m!b%wCAi0>UeIQLyuyu@CcVL^ zKl!PzYJ&F*Y!)|-8(3mrp5fjRNITOUF7!t`QN0fRj^a_4uV<^t$yq=1&L&gnT5`WJ z^5z`Ql5y?5bE3thM4-SkIRVIp04P#BtqNZDSKpED%c#M_FZ02LK$izrImh48oYTPx z7V>%=^})>AnH^&Jdf|C?@JlDGRQMvQ9 zLxyaS%O41rW7@C5wf>iqfjqmk4XQR@Bk+ZRvD&ch^e)GN#$^{8bx5f#_Vs=M$H#03 zdj96gv{2a^`le-<(sK=e)pUNyYyT}fja?8w>mM0oW2dYp;*D!F~Xu=!S!sFM@CAG5$}wg}*U+boGo@ z4jJi9{Muo+{-YJ0PqSmeb;NnUfz(NDRMpB^OFC+&(EUSKD^2MpM|1t~D+uwKOg?zL zPORrDup2-Ib%<+a16Slc7>dd$PX6|GMlc(d*|Jvrgai=!rSAr$E9lR`V4!ODSFIwD0z3y7d$0`Y6z?iA}x`;so7umy)6<+^vVO$W%DUb-ygmZOU`*>S{~w zJe!3?Iiz4CozH*!y}*$gSxj;uzXz1v_3HU-h8})iJBJQiCAcTE+2lZOOU8Y_ zu#mpd3C*o`<7Qt|e{%JtNw?_vZTj35r^~dX1kwgPAZLn+C~LM`zIL5%x*0iS_541= zWgJ}o<74jcawiyaYKg^;G{hKEAN>ivr4Jw9p(x;3tK&$G{aNPdM%^JLSC~wq^8JV{ z^m6b#vP$_-eX={U#bWf0JpdAGA|g&rhHGD5d4)!em5;Adbi{4&ssA(_UzIP1-jKGm zZqW$HMEvmJCVj2mZ0^$Z{?r;Omq{jYzR|MJ(Qt^N17^0lRD*HUd~uSVeUJFgIk(xK zuH?wbxc}7wg$Jt^Mez7Wlc#yQQon~#HxovvRY>#c&TXQEA?PX!H>gQD9X%5nA{faS zuV52Sv%eR~3*WC)VP2`WE&a;PCw*0X$PFLI&(Yc;ac;#}&*W-AJ!(_I8p%L{UU z!GbOCl{!_27M>R_cmyWGB?H-4k~qAdD~z!&By(&$vh#66p5BC7l~Tt!;-i}HR&a2c zs_asEO>nz^z-+>pIkR7G%s`?T&m-R~CuY+!SNp6IA^|Mx_C8VSzms1K{8$$z@T}z` z#+h^^2M|egk6#xvc{~0#uB(Ao#~(5((162qOJps}44EQQ88@1xKVV!rGLHX!s)Ac{ zuA9k@Wr9DvO+R5)UeEt`D`VTVX8&E&ZK|Ew4VNGv&OM5+V3?9cu>~nJ+&rHYGvtm| zRXiVJq6Bs6cNcyPL>FmtJ*CQx9JYF?UaLuZT56~isXg|qS&X=XuS&=EKwNi6)mAFu z=-}=fri+Wd?*l3`59O9Z{e;RHRy28P7_#;adNhA+4&F18#ebht6i_ei(P9pM2tVvV z-Q@@R(w%F{X%~Ygk3O104W@yz%LO8!|)2cC`+mpaHkwIqutF0;w123>m;{=X0)diehX z0ZP#j=YNnf*H<<d1raU8S9-Q^ zHD9IS^33Un(}Ni?US)r%%gKDq#ZldW;t2g!drgSn`YtVqXvDBj7k?&k>UVp(cE#-1 zS-{qrDOHq?SDvUPyLDM{Lavj$#1f;&M7v7XZ76Ffv1u~ka0M)S-0>QQNN;8{Ck`Iv zgRiY?w2@6PLTO4C8S5gh)?3I;br8?cDwSGdgzEjD)V+~o&^-8uqwMnjSaU57O2GKW z#`fm^*t3o8G_+48?xO`+zX_JvAO<*X^-ZX@fU(?TU#TGr;h|W-_(7s?A(*1@5YhCrH@ zghd@W+WsoC56EKj4p(%)4{A7 ze1alVVBLB12L37Se}A!O8@+Dikb`4uV$_wp(%seGRZ%9~8szhGb=R?me;P@hT5)X& z3D?fq%7d~q9k@`=wyvxwuMzmD-R;${<3$mNbZJuGQx2F)NHIi6i|EpzhKd#>e^dcb zbH@gU#rbbAf*_nRJo)F1PmxSP;BPqtW_07l?^-aoe!;S{y+?Z3ubEJ@y_!v-3;5hBvf*y+rD>mK;>-)LI8{_iYJx;gm$Z`MMW_S8KU zXFGgyPMTj1lzhvQCCCIKwC#M7an%ih_7*6|EV%;pUa`DwDKEk1{0+nSfFIE3-QIK3 z+W+2~LdS+pVtFf}3JJIJHF{l+t*dYrfSxFwiF}dUR^#gU+v={AH0HAw%@0^^axQgn zI_cigG(YKbe>xE1euq*J9BHon%@D(!Y8At{_?!?hD=^Qfuw1dh8Cne$UN=wJrSApj zkhTO$D(?sZCRzdBpZHPlU?ejD5#T8{{3*Ss#ickPZvp;n+rRE;d|h|vnkXOk(}Q25 z-40aC!HGR#oJaaXt3JJ@m`1Zr&5KCoSGkxMWfbXw{5L*qZyY~NkIw_{_`5*IdDFf3 zWb(S;s#$;a135;0kRy)2@(gR4XB@P?gNAe1Qy|=FG}F(Z;`ba`q04_AgZH`{X!7-r zT`*brR5Fp?IG7h^5isb00+q1#{=KIb(?`a$)eUqoTJQqMX+TU7Cw2*F)u{gNyyGyo z4I4OD)lHcRi*+NziV7y2wIPCESsF|ts6HMYglTITvQTD_*5^(xv4C8-DAbUQTTGZ% z$S(@hWYguKZFl1W0;dZAc+3fXna2S-r^d87wG&}lD?1eh8gSUvY6C~kKuul zqz?FEU}z4<5#$oPxC2lL0bty~rOEZ}oZBT?_=4m&hW@1pjz$PxfW7nteTG%0q^@5{ z%!f<5u0iNr@WjjoUiNBB?0@YvdjX!e@VSDR^S+Rq$eo;9}vuy9aw zK-EdjDASbk!b$Cv*Lkn`m~2E}*y+DcW_8CVcHEczYwc!3KK%)XOYzk^RZYGr;jrKK z<36M=%u_fZ8x^kegt)PCb&N}0<>fQ40+oNKMX50>`TnuNm3)hPVn zcHO8ZiuE!wIeNVRZFxM(v~xW`5p7$&A|%Y|u=FyVqQXTwyIq5zTW}*VIP> zmaRu;($sVIMvnV9t$}0_)7hsTd+eGSIO$FVQlDr%d&b5e7&o_({Z_fA8}B=`nB)jG zPK542rXNWZd9YA3C`c73%orVJaiXltgXQg~%Ml;sCzZJ0Y+8$$r)zd5K`Vye17;$K zPyPW(;*#z#hX{!l%``S^;~8bwFzx1RFNQ+`9!Ag{F+8WRw{*@V0(7yVMKja_ zSHY7m;s0;&L=o)5QV!uy{xcjVMByvMXS`OPVzmrry({!_5nJ#Qn5U$Ly_QBGJVWGm1oryPH>tT#qpxECC?K{Qbq`!bQUbg9Ci8rh> zAOUJqbi(KQKONoSRFYP6+L~}pj0Jrv&0Z8`66bbvg~eEB@(0W?z+3CR7SXIK*9#AC9%c=|XPQ50JU?;88O2kp8Mh;V%diS(pdu?W)C z!7<#_M7l18s7c=Lz6Fii(%B_(iUa(0qe%BePt<>JO&hQ?di&(Dx*b078l=-uXmdN? z>`yk3T63v*xpzv?TaO?wG>ceJHu#jSf)YEaVh5&d{>rRbloGugyRhGanel?U1!cu$ z)vO9!HJz~kt(#l1r!RtES+nUpn?63P^qLA>MMqMbcso=LtZu# zL8h*?GtWOA)$6{gD4Pl~IpN9C{8!$}yHy}q+kg*EH3RYqUPw5~h5eWboSh>1T1-KB zaMH>z{IcO6Q-gm3hL+YUr1m?3ERC0@Ha0%OdOBX`&c@9>0{Xw%V;NiXY7 zhq#lYv<^pbEt{xdZ=)SiN`+d94?$V+P8yfYbMtg7HjLi;w|`d@?eieXO}RX3erg3B z_VLaht=M)k{0U>XJeE4wl7_lmuF!h@EVI`KIF2OQKCZ#U+%lF66_RU-v?lSZxJLvq zfpu&=qMbiHwqF9P@l4gd6`qegDBleXP@rSt*FyN9!WebdS#q0Y@m|j2WAEEot_4)8 z5!>B4X3zU^Pfy-|7_pv@2>x^@RjVot>6T7#1;7KHGT3_ghsrP z{h)tQbLg&&{Do#z_-Q&pC-WAr;6?uN<)F_UrQc<4IXTfB6yvQr<;C5-2bxO)cieV) zb;d?ycW?5Vrz^(3a>4gu#Qz==c3n;wZ9tS;XWc#6u$Z`yuknbo3e}^cLP4BglkW>@ z_rofbl~aXBH)nV8r$_npT}?|F#Qt<-bgw;vXGXuVgYJ1&DKW+s5T)k-xrmH3}Rc7s1o1bS8BYuQrmx zv?XUo7K@bnej`5yiL~+c&u>yDAk=mLh?B!d|4j}DZVThtmnw$_7D6ruB*www6ua-r z{%AFwRrwPu718ChUUn6RR*RARUPBtzIv<||#G(TiJvvt}LRn|F@FF{7CCSR?4^j{n z_cr(1kH6scDk?kGq*W{id8V!B@3)vO6Tg*?YvV1aDMFWy2X3Db@ARX}342FkJh`Le z$|X(ZfV+2RZmd=lm}Q8Bswt2w23C7Zfd23D(rhgU%~9h3ODvMoLfaZqSl$`ym9@wL>W0csqs=+xt6T#8@T9t>?tT*pQ!nuf5s1%jN!TGx6V0x zb5Q*Hq@RTkR8@$#F=(3}AJcsQ1!!$^fo84c=Vq_>Un^)#awlY`J-z|_Q1iN8;gGt@ zPJ1oRv)uYGVQ3*ueX;hPkNIY^&!Q6;tyT2=b#BEY@|!PMxI(#TDQ}RzRa73USYrhuyYhJ?D`!rUv=zta%F9MLh_Ni+ZjOi0n?J*m*O6Jvzp@4LOFw){!DIn>sQ z8<}ikMs8}D-m^|NqFAtt-BO?*d0$O3>$|Ge;9?+7(=S=jJ+n16uIlx#;BN}!ki;@A z)Gahvz2F7p#WQJ^5UG|6ig;!V^X@8JqMeri&gx7 zU6K#=>*zC_^la`lkgNKu0(Xc@)Kxnu9#$ImcYhJs-W%x%1j~hfmI`z9=Y<_N@>_eA z_~g(WnJ!|KX^wK{ztS{PDry`zRUH=}hw%_cKAgR2oF|_=thdZjg|;U@S7FCloFCY& zU0yG2hf`9aly8eB1|DiP&rgY~^&U4Zsp-ygpA4^3G*Bfb8^1(^HQ9RW4<@~xuGur_!!PSG8|0ROrPnAdZ0Vtg6Ad8#iBek7mqqhB^h zx#xmo8$O!;-DNmE9niwz zOtV=Yi5yX?$=}Lf;n@)jzJ4OLj$c4oU?CC3X_vi z&d^-;jABT=c^ba(PoLoJ$c2W@6@fo6!+tk@7o6M2$>fWCl=QHFTINtXo?F4r)*SNl zOWNQ?i%L?Yzc^+b4PUjoAVKdS-uYZB(Yfzb8xO1#u?T)yWOsqN58ym{-W-qtO z@UElnOOw5wW7?$GO&Wwsp+^C-Iv{qcj~S4!Y7kR5?$CZNAx(tYk9 zF{*Dl6?ZeHeeOV&hy0m8IS=KD-SdI(`*H98Q<&dBRWeYO?GPnF^YrrM;%x+dM_@KDa?-BeSTYgDg) zLr(2JZm6ZX3kOqg$rO}5^-wQ${YCzP(N+?E{prAj!ej?(*xU8_s;1(Y8PZy--}ff9 z5yjhUk$)X$H8;lI=Dyte+4QKYkDbgsqK_59KmGUNoLeI`iM@NpOrOsy+{?mltQUAy zyulUgN}2l56A zNXv^8cj@3q&pe?WZ~K1*ZDqY!43200CH&HJX+6_HBSLLLGayrbl!K$k_}V4Vm{StF zu=0MS7yj@3Yr6>AsH}UoZ~g5DgLY~_ryb1wlwbQ^k81lMULq6mVR-fEQM$LAKF$^~ z!e@nfa?!)5tIEH#dr}AJZVgL&Va@kEaK-XS(bJlT9&UdY&`XmmCbX=}qWYRGA`wql z+dXF8PT{}B^y_jUXFv^x#&48j`XR{63wH>QC`$aeo+|u#fu{1eg0;v;X?;)QL zO@b%J7~%|Ns#n8KzKJpxiPklme)rW}7T!b(nHBM|x1Us;ec&xzlh+C|S-NBk1pm;z z$rOOaxh223{X!tsZ!5bCHB=E|cJIuP&h2G#@;-2%7P-s$9d&QQI#zXU&e_{;Zn?ykw@*u}|aC z!l}O6+k$?O2uI}%cPO=&e`{O0hjp`-gp37DkgS5oq|i{#edQfvKWQE1&t&gEfRRIPpS1u-u3a$v1GN+OCpgy!@l9xYEO8aRszzBy?*nRYScc! zxNsvz>85k+PrV1lMJPeam9HiES%+G{?`KV|(O{Gu>!ApC&mV~JZF1JrAw*RQfrMe_ zs|7lnr|WLFoY}LYrbs@<>EN>i#y$j|Df}ag{hCk>Q^v%lWcIEh?!22&)ZlH(RUbrJ znT%R9iA74^@+zR0qNdkI>bvOZo$-YpBHgk-n97G4@mB+IPwk5C4#B?h!5;OROxjD4 zK$eWp>Kf3de0CA(AO3qYH`I>U>}Nq3$Ixl#F2__+=@m8cRQf}DmJmpNV8WxdQHrZZ zREo2`X{kd0%9;2T6Z@Y`&ZXSCO^6H1p6yp9jOuSwfGk$j?`~r%vNa^>o^!-=#peh9 zw!t;Z?MiBXr3RgCF5>(3Lv32zp$wtyF^G@?kK9`Y8XH9El{!?fV{gTyt2w6Ln(rqT=Y}bcJouQ>d-$xM1&mMWZRkpC zkdTovLwIcCXo)iGXX*0`O0-=|dN;Lu<~J{7v5$nuBUaMVUaj@9>w!+$b@v zq-%d9K-?$9C(W~lsgwb!W63x(=;<#oOL#E$GWuo*A2dBS_xsr3eqUd(wbd#c=-WX@ z2EOqgHSq|i#J%$e5NSa4F_^Xf__BkMyJzA4L_s7yGx*`jC^gf&s~X&I^2FM|1J{fC zh@WVBBpZpw^+r+lk#+T&vdt>OqVW!-+ZlG_UAp~ z6!T3D_AOX4ImaWtKLcN;C;uAhjM`UbAwwzjJ+I|iD`r3u+xfx*Zd)eH!ZSMpSpzdAJI1H6RUFK8h(jOwuim~UJQh$K zCydqVb@G^0+y-xK_Wabqk~@Bpe4J+p?s@l-%oHnVnyN_QYcdqC^|U|B)%b+DAC4Mc zjrO@KivJ3ec}t~|vZCEyavqy$YOIg741Dv-C(|4R*5F)oS;^*a6Rs?vk+9RMm?Kua z@12=-`VQL+_;sAC3dnwKmqW!Ad-(BNLL5Vz2j#=K18b|8zO-0LZ-jY)NUD|0x@s(Q zBKK5$s93^lyKS@<=`81wNJK=2^4E!_iNK@$i1dKXOy+D;w z9$AfyI8ZCeppp0Pe1D{zs;hMrpop-N-sqySm)WEUOyo#;664{I{1nIj)Sj#m&WJ~- z&iBOdQvOaUyd|Ph`GIae$m>GcW^q^(xLzQ5y!?Bo;lgA0nIFezFiS5DcI%=pgXij+ zhb-;~7;~6>EgGJh9Rw5B>!TcTOKIfr7lH@{wdftk2Q+@DNm9WqWYb2k>A!91rgHL= zY>gb6b=tj8I?;HslHiD7qjyDS-ZIk2DPB|U5F@;N|D#FN zu@M~>RaCmP%AFV8SR}|yGq7xTvv@g)wwZkwARWl?{lwEDzHGaA){K3=opjq)`eL@~ zD-)7^bboT#?yQb6xi0qqg5KXl81zpR0;mBWQ1a@;Z3g zEyD03Diy%Mv&*t$RgTEg1Sr2I4TL?PVJ+{teAM5jKA3!UXXdlBzRD|fko>40bt6J9 zpNIV;n5;ya&~`ag>s0d6Ut1ea*45T9z)utgx{(j2Z z{go$3RB$=CHeRf%OGOo*pLtJ<25M#_*4YRmPHL4Pc};#mqm$!-y6!`ekVki?I=`Xp zQsC!mW_+nSvfmq}@?YqJU{(fr2zGklm55Gf^H|<0EP_OGLuAN#8tu1PpJ<# zA7ms9d`jb4bW~({Cw|tsxZOBMAok+!#$fI!ij~?H0g!utLK;L7g>S^QBS$UBWd0hF z^7%nt@O`hA)f{)!JeeceG!B}V67b)Weguyd^RB%I4sa$mg?#{~tX_8{|D37lVhS=! zIMbQq&Ka#FB;0M4u?ia1Xf>hfY(F!akB;mL;dLDiGSvGbNIK+5HkYO!App8J+>WNh z{ol+-0|6HCv7E>D@JJeuOSN`@O6$}->kw%wDMfE$?%#E5I(wHo-DX-oL?1CW+I>uf z84JWibuipGt5F1yAjbt}krvk$-6az`t3j%agfWF156Gc^^NZ0#tE`KJxYf8K=9QX7 zr(rTtqaX`{Ibj%YzUB!F>Agwlk2}g&*8;YN4@6I~*X3o1c$0n_&&Xfc%K))9XbGZG zLzY!kV&U=UFnq`0#}Yb&tGQm@?&<=?Lx>q=sgC_q^Y` z*YNIN=+4VI@IDxK%{)*49gC~z!j>3q8TT`PVi(xj_ujw;@PprV0hf{2#7yI!-tXZA zqU_ayXn*?Jc>1Kt63Hhw+5xKVV=kbB;fZJ0>jVIQ4#A^T#FFD&o$$W&o=j5wq%w2U zCEfn*PZ@fKhkF)|FF-=;&4mzQ~8_;~y#3)3%rZlt5ITf~!Y)nGSXXVm;qg=Dl z2=dz6Y)iJhH4OEj7L;YmsmO+ZC-kK)AR1z-3_6)ZYuRiE=7RfFw(zdxFd0{Os#-Pz-xyb4#6KQ4N_dZQc;LGc4r#1B^fWTYa6=L(1ioRE68#<2O`#ea)@Y@ zt==YX`|nq?es3wMyc52O#S@DA>bY$JDdMW2;ty^jb|YfH%CUmKmdN)fm$-o7Lk88) zWga~yVYZUTGtVI}^$1WR;oQr#uYJ6m3Vp&SLP+zb8;}OxhWJy3ZuI7Nzi-PMjXCP>M~VchOdN3uB3-R~qcbU2Ko%JFgf zGxm>LzQ$Lhom^*@k1&>{b|EylH}M7z_a-~I)XC;0_ALNkE7>g>qyMoO-kPVw;kX*T zCN6v?MT|_aT^Mm-5U2X7)~0;5ZaP6l-)(6xWyw%YxIW&E_vVwBUY`9;zm#FDcpF#0 zRR!;~FksXoW7wz984km@`Z0qTmy)(l&M$(B`8l#+*R^goTd4${X`H$Kk=I%(skRUZ zwEvZ~!v(n=v=rnfX#1C0P7%ANy*n(%u#7*uySgi)XDcn&F*4TZ7qE*7srQ zuAeF{+?mrnGxe}vr9udJe-ES$-gRU_PVId0cKvoHzkFH4mWQ%4TmnzbUmH-?-!78H z!0_itYY4X(%vUd8eUz>_|KNg3$9IJO0V2;Um*ClFhwezV4$S%SHvrf2`1bQwDqE}m z9R0wkRADXsKRtv{HmP&W*qxgM^Zvb2zuyJF}sAzqahO#p+I_9{~^v!ML?ukxk z@qg5x%~8snByAGv|Hhq@FKIe~>>0x^=f-k2no<6DZ^hTQ){`7oznO$fLrvfL)m#?) z#wzOW=?_p53sbXxiC&)Wg(&`7m-lr!KZko8)*H&*Qd{Q|-ILzOn~Qpd|2!CEr+2>j(L$8KLS(8`gq z^ap}vfYYZS6zF~*Nf999+2~=TUJ_=gIE1ajlOqHKagr_wnDRIrrE~%WO@+uTn7#hX zF;f8VU#&xVh73C^g-+$jm3astp%#lU9?ihhjiyef49InpJmaR-wKadLh3DQc#;r6G zopmym(swx{?oVr&OcpLFMnx-<12|~+X=U-<^AUc zAXssk@Lfkn8AkvwQ5pvsl)eAnLo7a8084=XiuuV#S^Tatl5LRy>l%-B5hnUO5Hyv7AI!f2b1i>^L4fx7*#$ zu;J7horX0xJx{v+G`_PaQ7V;{s#B>0fbB@`cu)15%5O3ibVsw@x<>EY1WMUXTEUxh z(H_nMWh&^au~ch*JxhG8Lhmvy zq*XfLp~-iHj=)(muT$;u`ZI%pi2}i>pUezX*xB452jBF+q8V+mZ8EHMWX+$JJB(?u zHtOCcO&ea4NWSFTE7GO5y78h6*n@L*46>kSDe`H7?p;*BVocHN6HL}ZM8sCzjbGhx*OeM@Pm$oI{tdPAGK$?`8S zVej>rGa{ZlLXD|^+$5CW=a-PPX)k>G#{o!Q!@Lz!zfHW7u!8n>6SH+qZhF$b9~G9?dI$nCD6&R#u4I3@_|xd^9GXg#6gtWcP5tM%y}?Gw880SZ_h0_$S`*Pop8n= z+|k*El0TCVL-NV2sOR*Z_p{b@R8rT%qgWkj33qN;S+wX^8QPNiGSnmQt?FERnVed! zy#jxoaUW&oLT;z*+`%@JI8+gTR?-f;WyNT{E=5j_^be+>IKzpF7htS&i{;MmdjE-q zD)m#goA+_Q91pXk>Q;pm^@*TDSwW4*j&p_bdOXa(Vms6rpNw(l!W<{|ydMirl7R|G zmfePbeAJ~OEj}8JoLTWQrFWW_^hj^-%bD6Xx>| zJR}FJnPU-4-R*&JG%-P!hBAoK=jAz|hr-%ao3Mg&K?S!i!>e4?b$CPUp^s}TzhvWV zgzf69j&;D}7w=i)@zKD_@Ac zie4}?e#wrF8^ z!+xU?&JPXbTHkN@SL)=IRCd4>+)%FI24sBjkkc%z0~A2E^MFkb;%=t~W*>&EO&cw+Pq@+XXaQE;>mxY2?0qTc4%?0cTmf~N`T zAevMQ|dx2xC)v405pbw_h(8(k^D#GX?jQfHXpq9yKb2xcyqQWDSL^Ur?R z4g`=AzF1ExRht`-G8zOH7<8Mszi*FbuurCq)}ZG2@^DteD0$MuWYWp$!R0xd10MP^ zC8E1DATiPZ( zBwYcB>QOiKC}0nQ#{DsW(7&{^^2&Af^vyi0MRfz7x;vBi6i605rO9aO9BSK=lZiA5 z>mFij&iKN-uXH9XA%DpB5KQE#jh`84w%g%7hDg&XY?WJLL>!0PuIpDS)IasRxA+Gu zd|;)vrfpwLhV3JiK5Cqh#?#X-`z5~Q{W~7XE%$3Bug@?kE~hlWTE(|J>tu#vN~%yx ze9)$}ayrXZ+m1ta7jdq%m__OCsn2-Y32sxq$zK8l%aaL-DYVBPlHGZGUKIaE9V4@) zZCWBjT4`bRR(31J!=RiyhXw4bVh+laYr4;oxV$|y_Kk4WS*6u6AYrBVp`GXMNp4Y= z<}d>-ILb_>{g;2=t_J~P-E4WAmMkbHeukc5dRuISnC~bo$?usqohqs^cxguDlW_J| zmRX_$8nYGd4Lu({dbED{V_C*Cqz+1^Px@t%&i+eEw;c&tQuRbo+lkhoE&kiA&~84B z#A2_VKQi)n(NCc>Bnzh|EWYje^Kw2pgQwn+;X2$AE58X8%?Hn;=1Yo@G_708p9u$G zNJlbfh(s%U09U$ir+n9nU6cSj?CsW%t<>6w^)^e7K_B9|#V-<#F|iZInJ|?3Lb=i4 z)qP^fQJhc3PLS&LVlyH~RPc57j(IX{qk(Dcz?J*7$FjPA_5Jmh^>5-pc#*dy|Ii2}_uICa&fK!D zo5#2Ec2NMwfK315PNGNE128rVmeo3Q>X`pR<8#Zzgc*EQ)=Ty9F+{)tp>2ZHi))Wy zLGmVa`>BEmY#CpgJ!C}Iy7YExPU-HCK(?nc zyDBhMGmbb%7dQs)qYLt)$w8V6W|XNMIrY2&k++6-|7gIDUdsuxL8k&r84~RQhT!hv zW~5j8VgHHadE$90O0SVHk><%K%GRDtTdprE_C1e_sef+OZXA`Ye*07h55#x10zpS0 zzh)DaR-x@yB~~rfPUzpyPeLH+{_EFQ(6Ue`6HJ zbPPIa4=%|YmhQ}bI6B72*XPRuVpikKDVj9uRsP2mJN*AK#Y&G#>^dlwNUdf@FGBF+ zgx>fUN@X=J8w&h$$ulN`zFqXK8YCvAki$5myLq`Te?(JH2iCGtE&wuYtBRLhg!-*Y zXA%bRv2HW9#FW<5m1$0dB{}Pn8xY^o(s5Jx*H$~bp&F*R4n+aRTBR;x+Rs#uA~abF zaoIHdCc3v8iSs8=k^96S*C`Z%7S_i@mO@UstD;uoKg?eTHG5Y@Q@AP${#ihIwdC*; zchd^`pM|SiyjUlYhPZ;mf`Kp1!?Yn!dNj;lb(?c`SYyW^?~f$%We8LFzksVuE`yA& zcNt%h{*tta6V5#nE?+jQ_z;hDLGPaQL9?C4dsd0-%Dm>Z7}vqOYLkA9lYaP*^iKu* zIF8}5;lgYD9kBh?bDNe3PsSo#Yu26f-s3MPQ+|YDzky3wci-2w=?DHAgisdJYs{X_ zqGlarX^3=g-Vraux7+0@BkRg51ZW@=W|^{3!#r;pg3Wqs+r$I^JflS^%Ur>@1&@Vk zH=l0!#?aiXyFHuOCDGZP-!@^2?!Fr!zQ-?B;{&1IXlfRK<*}av$`Y2WUh!Je#3KsP zE1x|(9nEGd`cAkP-!SE(+!Kl6F_ZDGug@FE^+rMiW;Wm(A_$0-Z^!D7iRMk0RVBqK zJWStKzULQUOW$zG4tyrec$(RHH+9Q#)|OCnXLB4&*v?+~ILl|U+q+}mddMhSB|B)1 zF-j)9<*d49;?wM3=n238?l14|GPeo~6kv8PX)Xpbjl78n%A)cVH*HZMSK_OEhCBb7 zA-WX1cV{z6^ssl_AJiCZ@>Z>~F#HvhNVC21lNFVtsn&VsmW}fWpc~mF7D3qOH-l~* zfiU_O7c!R30kE8Ub-6TI=HPYdi2I6!>s#}dB93q=MepF-2wDoR^}Am^N2-UmuUONp zfCDXW&n_dPZ$>m-7Ga3v4muEzDk<%bQ!-i%}(F;(J^_4DW7 z_KC^GTCvm`Yd%~_LC=o(*EhA)y7#k62X?R~fx9o?rdZ&-%@UHDOlh(9@n!VIm^Z=4 z>f0fEt;8e5Hsv9Q)M5gIfzt;whijjW?yNo%QTV|q`DK+GzK}Kl|pDbAq*t{exZ1iqwdwH7NK91CIrMyPayv$_8B2> zNckrujo+Tf?7{m(Yda<_RQuktSr8m+=o%v30kVG(lJJn~;LT+Gq;p+kjiy~DslV-%`A57s|q7xpTu=bv0vRHtlNPYVP10b-y=a-4t zD_Hc+Q{g^N_ROJ=T04+2;DLsbfX{vW_fx=4 zXTOLYQJ@h5JoiWLY<;xYY{azdJ$=(GeP5sjNdAjU1SKbe~x{2s5 zx5;Qqyn24&EMbFQGu)!6y9Cw1G6v+QXiD(Hq~09S2&v$X1*~nyA1*g7Y|WC@$av|8 zrbJ~onCjM>GWO5i!(Uwz?hn!Y0B1kEq`yQkin>W;Y3n% zju=#qJG^=kY%^&tJCDq-#K+1=Af|rq3jbsN<)HyXzm?_Z!~?#1;^hT#DNX3zQI@|~ zOLfD7NS%{+|4BBD;i)Dp)aV2EiOuD^>|`6>ySam+R>-oyE&y&aT`#FDZ>++^SsYJO=aZ#;WO@6se>iR7<7Y)%#+6SmGnXWviXZn=?)v|^s`0M#ACg|%w8``&*^b9% z6#!fFa=%h-tR%@kHWPoGYJ8T;f1{3!Alq5x+S4z0Z_2BJOmvoCY!nT=tNV(;c#HRC zz2QNn3zgZT@NJobDQ$Ne+l8s5rQ6vA85f&W{pTViSAWmPPYdG z&k`bay?S5NQqzztmV z{huREOfBnyEI*d4Jhi>JGP*Xc_k^^jIU(Iv$gvKvLY%2BO}MV?HKlQ^EOqWF(b6%A z5d0P`G975NOJw#d$`k3nTh>bj!uo%Hn48589>vPworJI1G#L_qbnKLx*-zhiy|<`# zuWjh)i&^C%Hf2z9Iil-zkaoo}ffc#HpoLF=6T!$B3r%umxg{*yc-hcts^XZB$cPW~ zlU;M|bfBwlMo~XXmgqZ^pcPOT{APQ?%tJc%cy3=~qaNq{+*Rh;A%`8Cya3)^49vZK zN_awxQX|)tr3tKklzE{>SfeS_b?(fcf2Dfe-!g(&rS>Ex5O$ML<$v_p z8(+LM+V&}Fse_^!E>ODx;1_-}K7JfKyAm3iK}7saT!SKgs~H24IZv$=x7*5XV@VLg zlE1o@Z&$qT8AN~Sj$~w;RN3mTf%`RSC&#{W-kCQDqSPbH+740VA@` zLfARu>Q-`W7mreq>}4O)muIqnUXqz?eC%IZ7Xg$OJ##!UTTmi68-hnJJs*$<4z6DJ z6gm#aqv+iB!1d(GD8#W3?b7jX{Wz{z!R?)c zyF>4kz$BplfWgJh`X?nJ+46jdk+Bh;Krl!t5J@FmHlpSKC=~7*I z`2n|E0eDGAG?`f+`Z|F(VHtttl?r@nv#^&dHH)7ud(UGw3(2wrAYD7zDvgDZC7?4#Lw$Jzs;BJHPx3&GE$$jjSUZDCtBRn{nI2eUqN@v z(Ju3ng0Hor79#sK7W?2Qk^w}I$V+@kj_CuLb*o^E^Y`iC`yGxM|=%0xpeW533i-cNjpKJJD4 z^XRr$CDQV|-_LejyTmD?DxLT5U6{!O{H&zutsl;VXERVdKsso7^-J6F5-?7C6{$Or? zY4wuIOr1pN;U)`IKI<9w`;|8zNthYBV_nE*C`@p@ldrJ9ZYTsk{lN{eG!Z6ugFJAACv^Q@*6ugyUoEpg=#c#(lC_OwO9QeW6#ILmk%1d zAdRo2m5{u7&HEAj6k+(93e)Xf`gX-Z<@esM*3Ewz^>|aI$@mEln3;b{J?P+IS2Yxx z78~`Gy3~)<+a;L0lCN{r5p9oKd^#IE;}!peun_1XOMDk{PG6O}Z-MQDvuaQq@5`qfxEOzZ zV0Z`~^#Cja9tVWue`3Weq{`shyf=4vjl?JHEUL!N#nX^nm?SfrJTrA8#MT{X0YjmE^-m^@>efAP{4 zoGlj=oUKAXMYbzZM$-_=`9roDOj!1G|w==7C#R-zn4Eyqb16s^s@)x=77T9LeKS%A#L zB!9Zf5nsf72eIFNBIocpG(jk$2Afkzp1GDT9QsLW<)4s?1w;Ipad z(+d3oiXhxj#g0jcO>yWhaRo8@ulV!y9=-AM9TF+Q#)`Zb_B_50SNaM6%h1& zwJz;Sou8=^J88Zq?VHHZ`k~D^Ntq~LgvI_+oCPsr>;W7IyP5aDvE52qLVNut2IRMi z|E2J*6W>t_!0|rO_Btd^^P>8CZZ^B@*+}a*_OeRhq{=@2&2p@l-~Xl^m0Pd-CLnd+ z_oc`VYr$96Z_JyIKWq!sIsc-jAbAzu#7<@p2Gbc1&6 zbbGKx^p1e(?=$&b#0xreitp!ixLo=N=lAWUy@oHn9rX)EW<;QIB0n=S1gFV*Opns7YTyQla4MCK())OInm1E%Dd zK!opNAwjrH!xVq2UG2X+`e>^^Rp0!^FYOA5)}DFASK}ay|5)iJLYU~qX2%F7oef1AoliEdnsKjd2shgmH(`O zfbF&JW#9DDg8yRkat)>fdgv5*Vw<&ieGNTO?(Wu(s*)x(>y;Shf{XPXAu;0Z9m|)T z6|*fHvGwAhvuXt7_V(&9OG!|IWAKs#n8N^jE8h-S?{xk%vWrzgR(HpyN+*nL;@yz8 z_6{cu#-k}5l>Smu5NbwQC_X5oC%aIW4WN)c;jHyo*6&8)c^Q=%fr_A<0elLHvnZT z)p&RmIuRdHbXvfuI-baxnX^JE{gec$y3jz6wJc?5rz=Y#HVbGL_~1gE4$&o1$rDF^ z29Um~KTTV44_AG2NIGsW#Sz;#hoe~F zCgjLqYPfc3`>KCnKl|#kWO`9dGlo-Oxk9^Mk}Jr6mF=|Vxn^mKZvF2sAFtk`m}GY= zQ;{KCNiN@lths_RNxRU(QyG66;KQj44+hmL*S)f3_QMffXdiFF(@sN{Gr%voK@m`+ zQC7Fo58_R-5ri9-izN4+yXh`unFKa(a~1=I45`0)o})_%gQysg4#B+x>qD9vA0~Ug zwg~9dM2C|c49q4qNH@h!9QS+FFYs#&e1CyBYI!cRfvP?(y`O;?)yQ9&L1>g|5Wd}_ z^8ar3D7c$tq;QgEd)=s8n_kYTwiRdJ4EO(E@y9=zo>+zrcHQl`xzO_d#CUp0BeTtn zryMR(c=o4`5YB=(92t#s9@?WuTk3c0Tu{cA`5~N-KDx$dca?GB}M{Or) zcGWkh?iNHi#r74v{2hTI>v~5fepxk|(vaaIpTtd+<_(QKLln);UNnG?P&dVmIt zgV>~T6u6;SD&XP5^;^(sjF;>(yIhA`;ROZBbdcD1S(jBC!XoBYlk_Rq8L`@U>Q-|zD_x*owIkD z4oG38G$CF6whku|vWg4iSf=pSuB-mni&Ll|)|ss8iWyC9>x-0YAt@18Wr(=dBdck3 zCmm?J-+rWVg?^rf`r7H~EZbMubvX%LUx|(eRw@yYqQQ!C=XO_W(ai_Z!9hn}Z64_O zpiaK#l9i2F6bl4+I(C)be&vRM1g;+jzW;gXMW=Z!?{^d5zF{it`Mn2y!3+sp{Xr%U zy6Hqo1YL0hYkl-3_8;BHI>%_9THZvnF1iX+>~|AxPoc&~Wzx!z4;s0%ax;q#F_Du_ zw>O6~E&J+CJ4Fv!uroKqe(h-dst*cFHk~(IcHjz{S6GUNWJ>eDe?BTxe6hD(NiX z!OQztq(3f3oQ0C1OcSh+GdmM;(O@ztF5S1x`WGd0Q@#4ONtBOA_gS&Np%u47r6D-* zu$slq@rGqr&Y}Bq82zas(?UV-F7m-m`Y{jWoz{1FN%`6rSd*dCCP>!2*w~xq9ky$B zCcYN$Cc%e?N-FufG-7;JblNw@rZY$}{)|#W)mP>tM&!W5Whh__>M=IT4noM9B~yIz zF-@h((j6fb-lCdPm7sHWr?Mv;Ac%4AWe>ZJ$HZf{2WjqNLcjJsYptQs7dT#PNbl~w zF7BBSKRDvomR*$l?7(?*U+*$EgQ@DbmQ;PNAL*|9x>eQ_(v*m}?OtEKrq3wLVz~Wr z&h^os)_$!MbjH#1jr#S`{)~rMvw0C#_y6`0I5Icthl`+}80M z?yTETH*TXH|CwVt;BlNla=*x*>pz&v>F3mL5ioaub;%unjl+9J zU%2WU3(mdEgw*q^x$(pj?t3c)rlu3M9#~iOT+Kt;J7{XRy0=FJ8`SgFfWK)@OY5H! z-gu)hmaT6hrl4rz_}YTaX&3zxj4V5me@p3oKKo&l=_+vx>g9NesVlv3T(fs_h7&S_ z_q?V?JmJ>Rw(lKHV~xa+TIyK2Mg&bMS)UCIbN9xEVDE(DoOdK4!@jcMwf*~MSLvG8 zg0+!pS(TFW8CmWggH(-H9Tykc)6Di2lRF*nUR)^75Dy3%kKRL;DvSma_fy^|kM39Z zG6m&lUsYqo%`679uAWz+!ZVcgF$v!S@aM#?)Z`8em4Kq?tc$jIe|tkQAtQX|P1BBl z`Qs1Cqi#4Opu*Vzzb;JY|Is-t?W6&P{}Pw~1WZHAGCVFa;KEtR<0NjbX#ewQOphMf zfyCxS0~-pTQKJVG$QP=}3?%#1t<9KRT!}smD@T@`akISY9rpMlNVf0#bSUrgMcCN~ z<`~To{-Q>CPU^`o#Hy7BfSNVh{ADqwX_r5H;I>BrD|E#61O2(-%0>buk`207Ev(f> zL7R?`y!?sjK;x=Pu69)f$kkD}!XwEo`==U`xR%`O2svUcUi`C5xxcIDoU{dGvkw!* zry~mdr|)F04sDys=`ca_g0SgJvn-qG(7UiC@Fwh1Fi>Fb%d9JgO(x2N_&_0VX43VR z(j40~47$>Da`?D2c8CdyhXiiHL9@zQ=BMVzQ6DiqJQAHHSAFWR(~ZbZ;?5f$ZE1q1 zEMOZzGJ22Fc==MyY5w{b!ml7H|K>Pwu@1ZccOUfZIx2Xs?aV%aZaKmz21PD2V;ScP zAebr67D)Bok&+M=i$ttDkA7FHJ^=`5=`2S<)|xq6w(t(C1yb*=&O?Atkc=iLn^> z7&e79Ny8Tk?QJ&hp9oynn;tX_<6g?{6lp1jWynCm<#Zd^Uz585B%9vfIy9my`_Ob| zcI>3dmgT`{J5wsj4)C%Pns%yirN?iikNCleZ9jdcW=1^*`BKaKtq(L?(8&2-*%>_c z2f%A-T#dme$!9J(^NEfjX_ybo9JhtWYf~Q6x`77yYW+_i2I(m0 z$(t}5xK6j*w_9JDV2SuYZJsWp0bb&#&pcHyZ^)L4>Pc$IAk-cW2${D{MFX9QnMUkp zDY8)ZpO2l#3l*l3*Z)(V*8hKlmz>!j>i+ea7_TbO+x^R4_Is=QISZxXPMBW!=AV7v zf5B{;$zX8TH1C8yYFBG4ZQ18}Px7%3Sbn$8Jm8XB!56fS9)1(e8qVyN&+-8kuD%1=+qZ zvycIma(ChcOgv@2DCzcNd?D*E{ChUNb8pEsUoD=+f? zY1eFb(ez-I=X12y~g}Z ztx!+<3N+byYPHyGlKKx;U0xaETAeWT78K-A^6$Fq`wto8oQtw3*Dzux!24XP+fRyB zDXX8!!V?oEtgOa0!=!bbLBc*rH3jAf&lciBu>oAGnd^i6G}bdyct<#h^kncZA)UWB z6iJx0z!|o0^}R1O(nXDwSXUbSb8mYP8ju_IO@;hX2{eLm;> z{{8)#ll+s%Il1R{zuhj^%dK?ou604dzLi*EI$c8qn#8Qe;F*=l2D{#|n2X(y2(-Eu zz3(eE@>8z!)VRYQs|@LBlHDXt$A#sumaa&90!sHB2^WZST-I#+GvPS^dF@pz;!@TV zU^Q0cFI>xC1bK893q6h~nRu<#i77E!GT`?0`u89t*=v%z{`r?Ib))e^-vbDCa~3>V zmXP=xcG-o^x;m;N^h_RCQyfQl-?1eRiy{EdjRaL377FC>9tx1*c!l39`@{Ey5;Oj| zl2U(~*X{C|1Sya7`gO>gX}6Z-Az#Jf$aDGsY%uD%#JN=8XfP5VE%2BaWaQjJHjNl8 zw1xUjSfNblBnr-FUKGKutuibiudn(I1T^-#{%oTlQOxK?a{UwUvHK_r1elI-UNNAC|*iO ztTL27wGkfc^+vV_CpQD$B&&8U1~|A(fgUN%r03&Btrk|1E7ACekjY!BG5gs2U#P^c z%PR~T@T~XRyqh?fcD~e0hwyZoA~YXg&Ej?~z8$BIdYfX&hCe4^xCcV|UwR;RO^dK9 z!+?hvp}8SLnugc85A6V`CrK(`-5d=BS`k&cX*q1DUW6rVnkKrwTQ-^!7`2dbpH>Hz zcBZ_<^_?^7Cl^>=QrJor<5aKia_?-kjmb_|^NgoKqz8|SWq8zIUk~;PPs6Lgz%6YP z8cKv;U#)@HA7F|>H^YIX18+keD*53uElBLsgX3mX!o7wYZz)3AB)6=YA8W!CqL*jm zZUrs~;YR}8Ac5*wmQ7&(*~+~WZiCNL;#c|ZcD-R!O;|+ok^54wUupTD19(M@#`DzS z>BN9b(Cg!bjeaaq%X-X8M+{DoN28H-o>aiGntnIWLN{Mv|x@8+Tx zn`4OCE^qP2ic_;clN;RH{x{taGgZjOJX+T$RBM6$8Xx~IMH9a)BJAltarg$kTX$b@ zNBa%0oHi|WkUT4SZKBJN<>G7_{}1Bm!ycu`Iui%9*5)*iS(~74<-t*`Mx#fN*SlCV zh04y+zz&~tTiV|pyA26ba=Q-Ir<#?RiNo2v_B&4m7-!UO(mYA{Y5b@aeDl$j(4M?s%X1*P*uC1*-X=M%}wd5Y0N>A&%|mRP(mkBRWrKNEXewZ_gWt zsT8MWA@@XTZde?Uy4IS%8YBx7WY>oKQyrLjlw(qgA}O`}XOPt%?c~SFulc%K5>w6t-C%s{|()HCh-3MKONZnT-Gvu6fjx3TU2^H3VADs zSwn}f=|~0b(7AvkwX#(N%w2usPIS-rfGxJ~v(;Bp>b;3#AASjvbNBbcqUI?xC;haU zN@E-Eyr^=~t5JKjtVYYit^GP^`S$(hVSOJSwvBi9*r%n3_C(n>l&L%o^-C>X~c=Ywy}4&sD^Kcf0`*z(_xMj^|Q>D(Mp z0yoeByKNk=Y_ea`us=sA|d{Eqq`LuQM_p`z{YH^z_i~b8MH8~Hnl2(); zT7Q*#Ak0JR^P&ppzknS#f=YhJKaP6KSHMFJYTWsv!*14Xm?*Me8~8jGrxDzqQ+i~M zR>qhz_d6)G&MkGNam%39N+KoLlygFh1cgqDKZ~sRcp2t)OLnTjfVMOSWo{Y@uli++ zx2kN~a8}2o zJ9ps&yCq!=6A@I40#+fv*pQVxG@R44fq7q@Gr!&nTmhIOlkddY32jIc)NHr>jLv_( zEIN73?q|9^_DI`3!URyZf8O?X_3!)1otFw0ba%2&bd;!{6?5{wSAkcqM^tA+w|Yd&6TZ-Qc_#k2^=VJw>%znsIhhOKgkwEy0R|B)tvPz zD>V8Awd=TT^%X61XIaNx{!AE^_i+|E8Ng=n-^fchC=mJ%0KX%pBmF+(!}j;n%vDyU zv(lT$pyEts>4oONU$AyHdw0>7F>D;!m_?K6&t5nPM z?*nagLBk7y-XyPLhT=4brV}tcXcHfgM zVseG55aZ}Fz{UcjUwKcO-7LO>TdmgVFSV$tzMl}g>2z=iPZ5857GOkBUWvws6m+lp z<=)u3r+gwmz{l|FV%YrZzac=YpXuK88EV9tA5s@TH}GbAx^V#t>)<_rOcnCSoGl8e zBHKH7Y%lrP7rnT)sTg>Z7tkrRm^eMrhXUi={bt0b#glNc!L{pAIyLuFEW7@7?<;8| zE!`~>0GYRsh7|ZSaED0|^!En!n05#a+Z;Z;2J#S2DVG5O4ptlea7C#T;l>atZ%%N% zuUTgze^2ZH2M^g1r)PFsa@;w)oya{557pYQcf>~07<~Esy_#>)mbnqbljapZ2pBG>%jt`t1 zx6=ha;!jK$1T(NGNq_O{MRinA5R_{E3D#g3>!PHr9L zfPRB3-M0z?*JuY(Erl-?vs27pdfK00OG$GNi&G;eJQ)1d!Zot1mT%zc{0Cm`3fuUD z2$9yyb#WpYHBDGMapa`o)JsKWHc>#OF<)8OTEk7)+kC_Ipbhr`6`;_lkbu`tDLtjy zJ@u*P-t#EmI}nojGT8q|{Eh)3YP+PIS-(TBPcr1FQaeM45r7k%#0@u{AC z+}bGECt}Zrmh_{Mq+6^N|&@9zT+pN-B7eWf|s~@dMG8(eR{dXm%(+z|ttND}W02 zx`X7nfq6*%4T^ajV84jXxMs&7eEq=3I$rCiig$q$Zy-2Jr;#s`;p9PNZTs=qBGCSI zl;i>V-5(n7B{tp}465jPDs(A#M5*+ca9@W9aQd1au%*0f#c_|a;njS)mvvR#i`&*6 z_Qz2}{CDiqV2WQlH&+9W`@B0D~d4Gfep zl|1BbOkgLbusZ0?8@eU|tvZ@0OgDvdd%}euphG{6kA4$?m7@3~on|q((-p&-QlQ(d zJ#OtO&2)v5Z-~~mx^S5?yuxnCCewJ%I+hVu67!AkF^!!r@;^Et5uR3e_NnYS@MY(o|FhO` zht^d?C|@2|aF854`%?cm`+oy)LQBnbDko!Ve{aEDue>{XqxsSoJN-RIUgDt-k}x;- z(I^1%%yYsx@v7ZYsVzR3bh#GpmSM^*vzjv~go^Ha)mmS)kr1b^mwOOUT<6ZrIBHA$ z9&j}2PlvOT)|NK{o5nt4%LEU4FmtQTaS?0HuIB?>bF%3 zB^cG@(`bumY2q75z1&a=Y5~nq{In@%d@(S8p%qO!;t^p}SqnCdre6N?;2I#q{iE+x zr=mxc2J`PNMQTrY=u}_%kcfnx0iuWKK3G>BzmQ^x+nBF&&ycv(_WqJpFUJJieV_u? z!IQ;4t$2Ji<`m-w6=z#Ip_*_E-+_g25)WIzBxz(sXI2)wipW zeLIi*&7)*Un%hm=S~gYiCN8F0QMsP*?ZE3{=+bX=t=^qXm1@KBbs&$WL`=mK=l4v= zo-YC3+BbN3{&^-NV(^pZ2#@J$0`GYn(`_JeG45?!CTtp}XDd2NsU~qv;n2p*QTd&2 zK=W3Yz`rtB^NmC%_y?7MM8k#zsdvOIEu=JVHs28S>%l@)LFK&2o-9-Lt3g~5sYmho z)H5ggYg|+Vuh33M%$VKp2dw4BvUWTfjo~M*Nhh>ftw9f7qZd(c#NTIM~vZM8F2m#dYtS3VLbBpIDZF<8se!*lpfOU zo|aIdxW>*r`70jv0%qt19Ft9cng_Pqkb*G^$ldBkt5)OIpvP%hRablNv2u`4kst!= z)GRajmG9z6N{h~Z_)~4~%As&@99Zm`3h_A5FX=XR{rY_X$ zCN%?4D>qF?Qg{j~!y|iJ6Ev+~)^eYzXuuZzq)Pk<^L<2i3Se=g2@}U?Xs?POvR<79d}vCWamC3O7oR^%kX)!`u!XG>kn4^O|X|Z-XoMe+37Si4CaYBtDggg z#P5t`bX>-DkHy%SlTse2!mM$+sw}F2r;*;p(NFrlvrn$|_w*3+(}xR;TrQn0-iiEB zUUPABP;b1~lToB;b(IIl(rz6yed4Ig1GJxy0h(z?_cA0h$N%vp)vL*;^L-cO3<;nV zC#A?e2gyNP?h0y8#+CAN70T`Q@7>Mj(WT0b_``S=sQrh%kZyAfqEk~Td(N1fd9n93 z%y_u)b&ZUa7ru78-}WsZoVBm`#Xzt@AO53PqE@a4-_4NSjR3^a+_H9$E=6^tdN<2T zm|;^vtJ2EDVV<(Df6)rtG9Ur9Pl5D7zG}j4O;c0HjG5!c)1Exnsb9Gv{JOpd0$OZY zmZ!#Y%HPkcSt?T$1iLZRU*>O^YwUR8oGvtUUBg1S$|9$EL4oU^JN1`U4*ERi$;lZIH{vb!hGsZz5XYag&5B&Xcai1^IMR zlJq()?pDl93N814D$W^MmVg90yCqGY9kZF|E;~goL_*5( zjU#pz_vd2+*AvCcQ%tEhUc@d&);$N`h&XArTcp#au@4uINVFpJlbdddtM@b0YWT90 zeE(E1G$DZgRXZ&51ZC0hpoV`NFZ3lP?Zf=c>FB4aZrP0|e)IeHYqG|^5^wo;NH_Tc zMBaW{b&X;#qGo=;Q0c!UAWJONG{Q|7Bcv=lHZvqir z-CLS*jUAWX&J7Ka&a0j?xdUP)vs>TaLGyKr(}P`HDtZ8j`@Ly+iGx+esd#l-1)@sE zj0v_RJPGUSFQ?GgzJ1fM4^ZClLHyy{-Adrz`ExWC@e%~W?rw(gw{cf=&44KM;kfv! z!-tGgtJcV@A;FYOl|${AbbRRQ!)@b&)ZXEt&U-^Z|1LNgZcSf>Yr6N4@}Q{}SBSVc zom{+HVLx!ctnEAwn>@Zx+k- zcs~W9fwv=L_f3(8Fs!Rd@_zO`{DGK=Gq)MmU~B!GmYh2U8$F$)dxtOy{n{{K<9sa1 zIS^Cfeo=0og}`QkoUtUpD_*l9*o*A)<1S$daTS-91brr)N>8=WeK+ACLO}Bo(~GY_ zimPLO2y>c0Z~A-K7C+aYHXH>g|LV7YouI5~H}q)4vJvM1L2{R6UF}y{h61CBd4|~&Va}cM2ZHE`4=zqM#>OgrR@G1&ei|a=a8~#bu?>N#8?jvM$2bVx`A4HjzbQ6cMqh^BqjJe^)~+wHL3q!Y-0)AEEJ!fCKbv9 z;@K00h;`TOpAvmh*qm(oLQ`(h7}8MDPt23wjE4W)rzT5m4 zapYN0-2dbn{DU$i!|iVNp+o#W?T?l_Hin7~*8{#TKQIt2j>i8p610vu=V@CpSqTi) z)HQyJ@5S8Y<>4-_m*@j$;TYru`7BLYXXO`I4!j1`u$xEyN#Ui}Q6(APuWiX5Cc_*q z;=I%xROLBFf3a3^8o)~5%eqM$^ebP};eV)cv-7VF^UtI-Wj6SJjY|yAP2UD8{J z0e~)$>m5%zTg&rA0wsvz1oP1mx!x0-{C!J4@pmM@C=`R1`gG0O=VRx8{s?4%lJnZ4 z$mt(>=^M6b6Q2-!M<3NXpZt|{wj8{ED}YOVLk4uZDSO~4Sn~aMeoEb!ozW;>JzX{E&UN4IOU4gcfF_& zI=U3zw01MVZ^Nv7QQ-%nT)ml*TX>|78ZKCO{#e0IhF@m9cI6g)<{Y#)AREW-J$P`m z3tF74{Tj;a>6USgZL^E@L+1668a1U?LrwNPV z-zKRw9GhJnkPmhj%$>Csx-p~{#uN)J@^tvv^Md!k2p1&a^x4An8}ClDTL<+>jD#(I zKEY7eznOP1U>N&^_8P!Lqvh$>yq%+W6;;Bx9Z%hvod-}(e#3*8+g61Z1AjYbeRdjW zo?TreL-5(`M`iB^&S`vFeIvMg#{&KWc^~~J9;Nt}&SMpya1w(#2L8m?M~2?>|EP`% zPR%=U$Rzobqi#)qm=S{D9?U9Nip;(lRnKIpnSHzfl*`ahSH9`rteN~sul%fT(}p?w zjb5#d{;gnOHBdM3yJGChp?6Ud^R?Fvu~gf@={1q`u8M5#8RB<8Qv^Ke zJ3CkE^qIyD`g+n}P*yGA(=)?#=(Qq;vB{eOJ5u#Bh$m?9ONg7wGWgpx7>rGbAYccbG3M=HftpL0jaa?BAh&%BjfP0)h26Nf>odGyu=xOs9;(Rs9 zePWJlyoy||dpbXHC`gH(WNO;e-Tr0_Y=UJxM?P}l-Cfg{)c;|U5qQTG<$t9>(Roa7 zRgVL-th$P=kl`z!Xn^eyeV;JupS19>VrIOK*Wln?Q_#~0A^xF>%E6ZVPD6+vok!yd zW9}FK^>WYYtx6W8-<>FE1eiUPFTTv_JloxLzx*fZD<9$k;D@8m%X80T0m7f@gJb!T z&wI%D9*`L$4iOc0s6z7!LDKvtc?j}P96tEYrpIhgh}d2IF8JrQN@!stfca-xP5Xmf zJ$QoM>sMRc2+<4@e*g*=ZKq5BOSu5}<)m;-lZxse z@?iT2(dKOq+~6^N`K~>iREY9V-4|5s=cE{TYNwE!yQ4qYG%k$D)KZW0>}w2v&*c1} z)gp$~Ms6xYfQ#2Xhq`Hr} zw7Iv6eY((EMfyB2G1x*N+m9fwsnh2 z5sy(Eh|!%l(@o_HU!KptdE+bmAsA5T=_n(tmc+ExEg7XyIi}UVZX;nz?K8ZW^9ZUC zcgK*o!R+$3R^J*n&V|BUlMPSJuE!kf}A8{FkfnC(V0CRWHaqPeD5TVm!|u%WTJ7azIz=KVwMuK=R`xaF#pSlKgLRLD-%(uDeJn)C?{TMlHCz zcWgK#p3A3KAQrtywg##R?1)42IAiCwE~&81>0C|N*gF&VbP#kz4=j^TTIJ3&&2K(a z!@=!y5R%B1IPm?H;JOonKK{B)+thL+MH}JLy(q{7d^EJh+#n98JuVo0pALUw=5H;? znRzISbMV@wt@-J#yoEV6eqdOLB*QaO^QfUnLL09a$U%0Q8j%T?DQe5X0g5jx&!;#3 z<6%?2d1T{J5Nwv5)#a0_#4)lWamvrA3&=TZ*1^?hL$N1EztMKVVsSk7S9HxyLw-XC zLc41-^BVNK0mz~*lOL0pCckvPk}d)I*W~Dm3m6an#IYdiP)}%&YHf~SgxLcGVU4oQ zV|rMP*zq?87^&Al?L@9+V#S0Bj+q7=KhOt@ZE7BvPq9Qgd@UQV+^OoYWJG`Vnt= zvUB_yAhTzX0Bk|a>UrEU?$cQ3aVt>yoNGjv0QxgR0X1lx2)00^`x|hD+;LMDL$Xqz zf;V&6HMX(_sCM8R{T{DdoAWh;a|J1~^>8lD11#yvR4wDAbFD{*OmQw=Aa8aiusaZ? z*8kLPW(~){k5(xO^U4p+bo<)~xus~}Dm+s)7iaiW*RWTX?|Xqz?#nt^x9#7n5k*fH zUzsUZG+o-}`P!h;%x3q*3u3axmzb5zKEz2nGOt8R{1VcrQ|1Y`enXzaxAybi#JmIP zrzw3s*Gpv-Kt3DSZW@!LM3pg)q^W?8xDl?$Z{~M&M=P*ybKH9UarIM;LCpTd`BN}A z$B1flD=+m!4RYfC1YTa}r^kE^H8*&cHK~ZJ^3X1%a3|Iwy(ljxEa0UqvWu`H?Gi)Cm?O;Wtpm~NJ& zHZ91Toi5)@TvSND&Xlgf1J~tJ;TLTGGg47FTCy??_E09!w{4O0_IU?`+jgIOSmp-h z;j@|UqBE7jo2oaChk;Q2^guEziP+Jbh<=-RzX;aik#0$_u*7`+$MrHv2f}~D5QxgA z@oQp#1wzPkL>EC9tn-*{cGafp6XHup1xyv~dfDEz_3!pq=!2{O9L`P(u9E%Vr@96_ z;3IpNu;RCFMgm9x!b71LT10Te}QI%Rbrsw@A3G0eU_!(i}K{9o9B^l^R)N zQBF@Fs2!_ZkUbMQ2R*40#MfD-M}HNbvDKS3{r3#}v8zRAn;xd&0MXcJVUJ1x)PC2jzT1jbt@LhS^VRttR*XSsivDb>QqEV}>PW z^R`~|ssW(nJfYB5JE+Z3^uk7KCdJ&Zd|o&)cXESiYau9?!J(mtgW0B~PVd_8Y_C}C>u)gY}p6jflZVkxLaGmu67BlMB47EGLtYtS8mki4zNCe{}!WUYmyhXBYOnFr0 zG=`My^?Ur(ZFDU(F5>5mjcfU?A`)?usGJ4eb6&m`S%7;>Qgcx&trK z>^?gi+~aTmG7%<$k1r_bftp!83kXcupTBjQP%HTcY&XTc)2WOqM%woY{r6C-RBwo%MbTX8J5; z%y?tgKBelO2ryHBK@^|I?eS5+)1$*%jfc94la-pvjq9hSTh^z97Kjbyt-kNA=%RP&^IgpAweRfv6$I9yW?f0^ zeWY3e(>n6$3&g1om)AzO;4e7L*Us{ME%2G;t|nKQ-zMy2!6YBKU} z-{q-YZoq>5e?C(?#eanl_Bi|veleM3ZpK_^S|5T`xG*J(!zxn@yB89BrQs`-x2Us~ zdje-}gdawFSDGJ>>lZz_n>YtgMZ2 zpR>c=)AAQzEv|a8PioxNC+TVuD$1JkgEfRfNi-}LcQDeM`_c67Io=B!kj;uv5V;)P1 z*!sU$40-Y-_bH$}AU1oPG4&n^2)~Mz9uTm=| zn%9%zuw2@Cfw;+eopgYv!Jcf_N!vBX`S2kS%{+@ zOK5R`!h0{)tr(C5b7N-r9zAulhZLLYJX_5AmhUr7^D+t-IJ{y8IUfy576G-f&*TT#MmI z#1%;B|G$z_Wd9&Pq1H*vDbV$?$za~z~kddS?t2xfy)USxfa?`Hwhqr zY*LSMoDQ&$)=1NCt$SDI$AblJtWNwfU6fR~8+a|o@r-^ozWpA+X>*%xJ#e)&;OS>! zrcnw~#!q77ewR|z_kW*JQlcwSWG0EkYjnPpviv5b>(kpD)zUqHoD+=m{yW_*z2dQiSRy z>xbKSk1YWi?>=0ku)Tda$!g|EuAw7BrMD%dCZ(D@0eq$*&uiXrcfrfOro!I*^0HI$ z0!MC6)1+-|qU(O>gXk3r@9<}Ep%w&ixhC!JOlFqu=O{v9-UqExuF=Z#<*n)!vWyXvO zKWh4&e0HEdqh75&5N>>!`l7ILHCF4TsG{E`&gbs0l%WCM3Zq8l?{~gyo~-S|ZfOeg zQNF}!^G|__q%AAb@{xv&RkNteJBkm;8 zw^CJ|x9bYl-29m?*7MJQ6o>9cC?o2N7I)w@^M}eg z-&~-@jbp))0phPj<&GOIO7XbMPPyVqM( zS;d$ew+EI3ne%R~B+xYYS`Qeqnw2js0E!p70V&Lb3VX(7xVwZ!hOeFGv!nt4w+UY+ zEE!%UkZdW}#s@I5JYz5oDBd{WiicD9@aCct&|gF@O&0Py*{};q z?(?T>^&X};p%zl4X+YvT=cJO%5KXuPa9Mke)@5H9AjtqZ#rKA(CujC*VSd*ukV2pR zao=ULzfHPZQo6pzAk`nl)aJ z_lLdckOco8cIksOp`DqEk&h0nQe2zNqL*&AXCG(uP(cbWHH&g!L^DgBP%6*;=s*um2HlaN!%f{E4Rrb&k3=z1PXDCJaDwK=>= zBCSBj3o)Nck4FGcZt^J%(|IwPph{06UH`rk}AsV^Evw$={WC@?- zr^%utpZ*8SW$zY66M`yJ&a{`G9ptAYhgtI5R^I=i?Bgjs)?n7?2?&o>gvX43`FzKd zsZf?{+=xcdG~wo!tku1PbmXM>UL8Mx#ZgeJ{Aq*Z$MpWjCG>QS4E^O(TI9HC>tG+g{`HBp+lxS5Np*>;QXGy)0@lZ<$&w~{qM4wdzYH0ZKlUVIpFHw4 zW&~vwkNWTgvoWkpMgeR|Rrc~a4@ja8Oj;4DN80Wu8B#PV#rD$TTxJ=kH7l1J^riwb zWVUpB^ERHX|7Abm$N@OoM4@3gPf^XxRVd#t&W^)_W<>QFrISVj1hI4~ZWb_%6G^3Q zN0?yRR2cc(oGP9C_4s5PRT3_inq*!Dl zk`sLsRGeS>W;Z*=%s+04u$n)?k>JIR{5__@NbujlY{-6_Wy~NP-;Y`yOPP&QXx*e( z?K##Spm{jsX3SyaY}S$f4t%}1cE6j|%-20HK&!D@WaHdUB{<=OH8Jw5=0r&#L&dZJ z{OQm%IqhDhYIu82xUI+Va>RUB*sgxS{cG8n4pYg`d4@#=z+g=w5c8>Askj04ot?f9 zRp=Hzp|O}-v?dS(IUwtVFG>4|vT3C#r$$Nr_wvul%Yhts(TVuF8{DLSj?To!zqPV` zvp4O*ERMK%0YhVF7S|>u>WzjcW$Q|zC#+) zFumGPXKqQAU%t_@Cm~PcAi2xlQX1?y-0RJ~xA*ku5Ix)<)gAEj7wJF*|I*qZq*|70 zvd~@I#kzV>Lzl~n7`(BP#5f07_RvZK;{K1;BcB;jxRk1eiCf}B;5{E`c}f}b?O>KL zj9$_6hu7KzkVF66E2SL`<`SPFRD%+fn-6nuORqmh&C#3c8PO+}W zH{thnY$x60EMk^aLk(mE<<6{j@`3z{eE|#x4i7NKM7;?{J)s{m+aHsdqyy?Hnmex9F-FAr!vF>*CD{B?~zBB zy^I{+q}^Go+7U&6oTlm$COU-#)CD9{Go!nGFRgX#+DuP1KVw7;-+cJSr>4l!t1b*R zNtH|Cko+;`J^MB2mJb9u9sR&qY&`d>spsvOUswP=VSu?}Ny4|_K|il|0do=h=r%eY zq2C?k@ePwn+Ozp@OUUYwMdjyMo2p%ZcSRKY^Z}jKWvXCp$i|Z(6BGZ{&0QD>GXBdY z1Wn0270VxBFdTETHXLsV_;%0SJ=o6M>RGhnwr-Ho+)VnXBf-mnO3QVVz=^f6pO>U# zc=+YUlaN45xyLcEb9~gCA;diB@L?FJb#Hl2a~~2q`Sd*Ds#y$)-8u)lw#r&3^k>bt5k4OApId;6Q{G=5kBl8}Se2O2MxMe%!gdOg?4&&N5 zqK9x+ameN&ohWCrq+UcyM->;?Ge{e}H7ZC`w|aWrVtqpL_pevpNz=k%TdINBXGA{R z>)ghP)Aqx+v8D2phh~L=WV{mtuH`Sd2IXc`+a~UXOW*7BcFLHyus3q~V+a~Np%~L) z0Ezq0I<-BpyDZQjjiM1x(`8nWTGrvaJq6xU+C~mx55h zTfPII+bt7U&vPF!)L^VNP+=NLX# zelTAN+Gl7>+}P_jnnD%a;SYQ)JfpnPqkS`I$m9_w;j_48ZZ|ts*4IW{-J&baw$IGU z@wG^XJ5M44PJ@@BVbhR!QQDP74DS7HkNHeX9vvlet;(#8jTFDImr|VWrD}=TH9AX` zgo4Gs(t)QlV|DaW7U3YHMk%jBBV(q|Lo3E(`{l8VXOz!j~N$htg}q@x_<~>cJARt&|o2` zON9bt$yDdtq?1P^ET6U8!mUrm1{rbpx zB=ZzCFJV~~K`ra{Bk49AkDn(Mtz5|=qUN)f%rK|+CIfIJdD$tf&3eFcj@Wj?jITRn zp1FlT5Zthucn~2t2uG3?EUxVeg-9bOt|oNbUKROW%QW2d=`0^ik!2z#UdB`so=~m# zrSmET_cwn*ej0hyExqp4JkGX0!kY~TUvAKRvQ*gnEyt+%6AbHVszvI z;^BVUD(W-uF+lGHAIQw~>?Z~+GH#%YMUL$=c9?-qSJ~UJeM7f&jKFmRjm|YtylMeI z3R`q;m-~lJP&LjL13Dm2y#(=7J?okdmF488^uv&Gv8z?u(by$>uRi7Or$x*-$bioF z;s)+3p@vPE-7+vbD^kpP!XtpKrW$``;jp)iY75&Lh13%bN<8kW3_UsSEL%!^eo26u zR)oEK0YHGg8)_1q(B^B&3v=vv48!&naNEFC{l=KSQ2)Alv7gJ^cJ+N%Za^Z5M77Yq zVS%gozdWskXPd`1V~BPseGWs1%QySQ%_4E%Z!&W>jUr4nRKzCRc$OD>eN?n>!fYml zEQ|U|24Xhs+vwX8R6>E(5!6QR)Nf-1R0?BcbkbdZOce(1?;Q0RD&6U?4&t4jU@<*?uWxDq`vfEB8_!E8p;dc@=ZNvg9MHS|wsFFxo|=F#pv^GvYvD+%L~+BdKr*NDc}x!k#egAnV%ANscv z2aJgAFmry(#I39Vr+2wAa1BtPa+hHf;?wSonR!d(qaAsNBJh6OVQ*x%eidDF=x;S? z38}}>EVejlG09KGkGEn7I{VX6qbWAvF5I)0JagGIZ|R4uC;5^L%*81-z7ZbrF4Dhs znb(Aoa4+A^uF&g((@`vLgRgVzrMx^kbn?vjeO4#|nB??;ck$AlpDPn{*Rqa{4c)tY zG)vDz`Pc`{kI_?nh&S8D-R`8~MhJPs&`F?pZ3F)N0-C5CQj6eBW`lnjl>Yx6LW3ts#AVg2)e!lfZuxQi>Yw`uKcUSI-r^&&ZTd*~s5C`r+mU*ENDNyo{)7+RQ=`V+|iI1-jE_v-5#HOz- z$)oieFF_|+?4J1zC!c18`@QcSaE1Ss9Bcsd)RJ5;o0_aECOnvzJ-5Hy?MS?7z?D{B zL%CBZPr2TwEaMrLe>>MPZ{4`R^K(7bhAy?CT<9maag!T?(rJ&ZN0X1}I`7(!u8kSC zV_R?DFfQsJ|6eM>^y+`E{ipE%z4m*z(BG0C8naZB?)Q}4m^bEwb{u1*pA=H6s_(bt z@NIxe1z(#bCk^9~uHrQ=aWhv_62B3jL0cmErcqMjH73(?LxFQEl%#;Eb+PI5ykLxW!WVbD6gteJ>85&>w8${nX-@YqQbptp{>7a6pK|*eU6e z9(!%Bi7^iAvfmjQMNnphcrdP6#y2G5C0<>4ag}2kkP90L8>5N$9p{Eve#uIq?>2jS zef|%pjNREixsje?&$KAw=vl1N_(OPc0Tb_yNK3csU>qoFDKW23q1ncfbsJDI?}Ah1 zq@lFsvooYPZ?1b1&7c(m=5urjLg-Xwn=yXW);j$OGD+ewW32TQ_DWTvbq79srOnWVF5<$#I$$+XMaR#z?QrFS&SXo zy9P%(&r)KTWARt2H@ay?mVp*WBCxBo-w>~EC(n|G>BYI21=+d*j$@7!Y10vkhC^no z-Fwg^`|oKS=W2(qgs~*p7T>IVO{mLXf=5;gV`HAvCk9ZPjDsq7serH6Oj*&CPGIv} zvGYzXylng@m_dC2r(_K2gm6m!9fP!GwE8CJ|M6DR2Eu3l&vyAjt(5H5H^EX5Zz5M` z0KTbi2RXMIZLHsKoflApLM>&G zPau73z6`8nS<|98fTI7t~P|Zxnr}5~Q8bJJPA>C&Ms4ZO={k+Y{XF2?nOMo%( zkrRp0+{)eR!R_ium_9_biglRxuJ%%iacKMXF4?qA83F{MRhDJOg^7aK$1a&@l>QxS z0AwD>o((>XpC@2b4pvUbsC5wNLQ~F;Xjb0w))`2HknC}bU}2q)Puljs>2UEMp?7yK zjsCGwdJSZQ2a7hRd@4848zEeYzZtUOK-7MDG&z>7gdtQZJlYx=Rbj%X#W=dQ64W)8eKF|Ax@EqLCG@FuF3yJyvx zCYP=0Tiy_iOPpq&%AKHlItC%1D?Kr7y!wzx+N{7RD?$@hR|Um6H$7u@9QPn8$0QK%uxA61`! z2e6c{{-O12#B{9Q$ku5UbAMds!g({TML13&z$YMBY&QbqDJxXBVVZ1qGY2m);{?^? z8l$GYXj>cTo`SH8(IuoS5o_~?jt6ZG5XCSI=? zj&2EbC?iI(U{vK<^$k)NB+3{Dm>0jf<3!!oL?>jU?UmzOYvrj_!D- zEIp)UQtca|EAdz~y=U_hoVH*PM!j~;b?}-;y(L$P9`^$tpvzLY0Fzyf&CZwb^w$~= zzFb)5{wXrQRB4uF4;3%4rqN&z-qvni_F8sZPji8$B2$M-EdJKk8O|d77Z%Vxx5EwG zz_o-9zXiS*1!d}jept`eQh^XK8LwyOH!LUBqty?c#~LV7&k~^8_qs&N;M}B=%;I za(-uzLO-9GKzFz z%%b%{m6rwCLEw%2mq>aY?-v`!@=yL0%t5QX6SqQo%af~;B9m;-ZNj~yk4a|#ccvz> za1+Q{FZ7sDW_M_0(s1AG5}~uVqnB+rTx@fYheg_;=GifVgBN2QMYoE@r|j761N@b$ z+Vj_{t9uTc-U>T>I;55fq6tlHp8Sdfhlo+&)0JiN-xn7qmPrTQIX~u5K+L9eOwn9U zTA_oUdQbyXIa+RNg@o3_yL^1+kBDIV$EWQwzt^7oibBY~4TagWmr9|Vn7x@mUt)#1 zo}0j~pQ)}r&RS>}+xl1`MRoLcR^X8>rY&d0k83-5$Rp!MEedyo8`XZYxg@y357l2_ zJKptf`E#c|@{lL?$-a4!mK3-~J`DH!L|`->NYLo-{k}T;GV>B?tYxUfk$evw8(C-0 zW`}A|3n4Z6Mf%bpMn1=*s@proI(QTBxK5Hu?U9eZLfuk4rYUz0xIZW^w;u(-lll4C zkZm$ynhpFqFLM1k<2ZQSLR(vk4XqN=Jg3iWrX1wv{M_3~3_EF84Txs@|4hFB{g0-A zwT1r(PLY>Z{WJk>$R4kWLK^=oVmZ@q^^ z#nNxPxP#Nz{3#$d#J_t|(MlhL)>hM*RaKoky+s$@Tf=IgP7+x|oP7Nb|2<0gPnyXH zH#oo_so^z3OGC9U*_?8d}A97YamcfX(B2_!5=Ee)QQ;DTjzBLQE5Vt zG|ybB%{IIt6GsO*oWF3tR&ACNu3$Dtjg3=r66^2Wz`EWU)ZhHsQj>c%> zG&qA%;=ZfgP6<&9eNwT=P4l!Hfh$oilS@3@x}&_Le~BS(cjp)FU_xkqvX^1rTr-I% z-goLCuLuTI!G#n!x5mRoDCT#Q|HTGms(!E9Do%Gt zZb^PM@D8OmgsR3kaP1bnh6hXtI@n^d!&+86oUVIm>3Mls9P9cNAVLqaIw%^84#-ej z>-|f<3c7;&9K{!#4<;=HQ0%$m<;ohru}uAG@@vLo;o0@_fZqI7)p$1@Y2Yc|qxQ|h zT$!WXW{L9@(~}D2bV1_sWDUi;KWTLW7QZXu^)Z;-hk3uPMnzv8CbH`J1m2vZ`@&r>G3W<$J@1=qD*rb%?H7**RsyuY z_b}-PbDnZ+LVuO_E}ea84&fy}u%%hOixV`f!zDbfeb`6H11i5eNw=gol8A&PTJ~jV z7bEf|GhsdsA)B3Vj}+6JGyjIpZi7SLR-$WrsM{v2g!oU08@ z9uU6i5N(x?x^ylanM;=0J>g%WsOzdu{^uk?iCXNsEuAGDHZ4L>WYo|Wn?n2z%0-j@ z74SnU^8IWsuWXaplK7T0zK%1k7y`E0eig5)DUim3>MiS=zz|UI*J}Z#{gkpOTd17p z-SOWm8lM`n4HP-1Fm14?0c!8G-!XiNDO#PC)mp;mU|16WZ6u|KDmKt7y7Pmk&2O5*V~;5?%_4|xZ{<}4R(@~zkc zRNNs8EW(mQLj67ld&w(@^*3N|H9dB@^ti{>3-wavoD640R>RVtgdeC|+6doQO`YCz zD#UYy;aNR@t~_KrVk!v#f`0%kE?&v5-+ucht(#6?XN>JJCiK~SZ9$HHuVsT5Q!^+m zvoqp@kRb>0!^bdr8XfQm1nF0WxTyrC=sUm8zJJjD>R)SJb>FttL%MF7@UwF9;{y%3 z37!z5%58Uw4bCeCT4mo<0F+chW)%nML z{K|Qv#@0xV0pzuMpep4oO%C4u(9-KgbX1IfhCNA$@Pq-g_S&a3E(YzoT51sIYRB@+ zsgOkOod@Z~-y~~)o#?mzzRCl79?^%W1F}49{uXVcI~=bMza-etFOCE!Sjd=pS?b7m zPrpvT6Rh<8{@}_hQ`GJ(kW8U=V-mjDfXFWFethHuN%&_v7$Xd&~N3 z8kU?i9gY;H{Tf!;0qpWd*1mxBIfBRyt8rxmc@jY+h?Oz-nOxq^QsbDPmJ=H1i?#CK zyq`S)hOfOh-4Eqszs2b>lT@eb*4Rjx%l`p}UHK1Tj2yzd6`XXfGlDK<`yY4wI+SLt zfE4Ip<}%Et|4i&|usURGeh?gGdU$*40XnpSLGoqMx>}6;g%?mKg^2@dcl~yXh)P>d zZ$;^~KQu)N2e#6z;~UcR?kIu{r^0_?=ut6JPIBJ6PKYr_1L<7rAOL+`3&CKN=*1TH ztMdIgSCT51_9mQr=g&{O=vy*EGsXmves=j2@)O}piz$$@{`Jl{$gd7d(aV)rOoBs!e$mYRLYKuNrrj73kr zTWq=;?#wuI8r;`0(i>SW5>r4^)pH`uN=@|R`hs&Th`xU{%@bD2k2lwcO^7&4cs6Ko zg^j^4B9vRJN4)pXV4Exx;RUhsA7Dr6bsRSV1{yh6s4ac0!`4b*%6^3Zrv3r?IOtp2 zhvLNe^{OCG*b!dd{Lbn0CA-(j@OB#wM?r1b_MJV5z<5n1D#kIYVO>Mb?tJG57_SzX zY}<$*=@EmF>o|SOUzNT=#Lw&`$SEMc{1T}Byhq&rx*fStQ>{533}fZhNocM(ziR4z zfqI8IoC+uKOg}WTWD{l3d0AdE?_Lwm%_+m<-uzKb!=D(Xeo-2L@JZO)JEES zxw99O>EHM>6a!ZxgHx3caJsRfy{CUSo)1%xvhLi`9!qWhd)h)~>^&&q?c~M^{v`D( z&PyA-9!>ZT`XCL1th>u!yJ|bpp_F>0J-o`0UuzrcS`h#?U-B8#n-L%;9;3ptwV)R(v2c@8hVx~UC0`f?N# zJO4oq{Wp?W;QAelay%_T+sRv}(yXLRI_4He+Cgi~UY;%MsVtT!GZtN8#CCql2DrZB zSc!a2PH);8$@eR?)v6$0+VYQp62n~P#dUvD7u0Myizm7@*H?g33xDwN<*Fvi+4mh> zE>IkN6t5B29PY8@m|Q)>7RUtQB~&KPe?>ja1IIN8c5tXHlV{JcN%OC&wPdIYx~%4; zS>{Nx0;HRAETfbx5$>5ff9Kx95gi}C@$qt_w{%xYmGe*xtajB#=08=}W*+`P4Pd_3 zG3uWX6s>b@>r4zn=4XjJ*=fb!$W|Zlz>5F`Fy)yGY`@LJ`e+dF;ZLb+0%ry!qDVC< zmhBk*1{I;b;(JDl`mX!cl44#4xgOi6a_jez*Zja{fDT`tr2f6t`MW57c}v3DP%ei; zTVTwp2!F+_d4KidATEQQAXc2{a>@Z{!$Xb}!8&Fok>masSa0yK*CP$;Z(U-I=eX*@ zi>X!r{TK3tlWjAdr->3tc;JA~L)xRpRF{{0ge*Dt{cL%I*wddg=Ai`H-KpiMhYf=j zt2FYdbQRfS_f)Ru-GL=v#b=x+thxkr->eI<7`^I6YC9|kd)e0NYx%JifJhWnvA}Ks zNkWJWN{Y?zIDGDT@2<|3<}nDoAc&rjNRu3{2iitCn$^skBhwFOq%5hk>SmplS5|{) zSBPX;98%E9NkQSEF}b|NFtPUA>>!V zC)WZpHW}WJq0Q=D?DH@+ZnD1xVd2qLoV_1$djD5fcuZh_G?uvG9r~ZL zu+HH%`E6VJfPU<*P(1ni`xdeaLG%f3Jmd*0@-7kGDD9Vy&PR3)Vp^el$x7C#^_v@N z3g&T7J2X|MC*sK*n9f6newYH zzTwf8_;iD-`^wn?SvnjnijR=s+t_DI#D+S0w$oWDOV9bUA)hHuO%{jP`n~3Rm?F+< zYgv`~s;kGb3!4t@d{f1!v)cWp^Fp8%r{&>rsH=$$hYrhwjfkkk)-7Xt_Sq(LM!Fv{ zx5SX~S@H#wZhA-VuvK}Bt*fe_0264Xc)fV@8gXqkq^mkkk7`IyRTG;q0_Rnp;$^hl zzRMVz)3wjMhsKN=RZ9L#2)PJ80H4jGIXS7_lm)`IaHl`6d^K2?&y1nnzSM}Gfoq$2(n6lKvpak}#XXii-7S_K26a1p*^7K4J^1%d^VL zLb4b~sdPBN2cYklEImT95G{c~XGTB)fjYK|+V~0ZP;${+S7`k8iq8CWCo_f~oTn&H z2*#->pU#aI3BS9=0nW3`{}3-v_)YX^=DQ4EGI!p4bot?i%wv^<5mcyA7)kuN@R>bu zduJ6JFncM}d)OMv8OHaHmf}W`2CXvZ8LxV3mM{C{hvwwvKCL3YuJ+S3gpkat2x#q- zxx5ObJEtCyxrC6kaNbgjRWt3;T#giumMSv zl4-KTr@sYqcC6;kwNdNGOP0hzos@8&rS3?udZggfO#~w&L z_`tD^zWcV6!F+?wOWD@lw6YHMdAI1ot;MagXe#ySv-U#aD+Ccr9?imVa6oa3lrie3 zeb@qB{3?0g=NBtX@6i7AoFCjMG+cMp8@c}HJ(s|Nm+*gV@5s1Lr=k~yrEQh-65Wlz z8b7xGdW|l(YcOt)sl|uP$V{XkE`GR&q!#acyM^|~+6V>Lek4)gvDfbb2sAV-#h4gm zxQ1moDx4NQy3T6(NwQ%wGix(aT|`7_ zpqWCfA&r~Z#4_OW*Kt}ZVf|?w{r2#b{q`S;&hog(m0MfktDfiurqE)t~0JUB_YWh70%{5B;mq?TTP~e#W!b-fw}~1J3zu8cTE&Wf1HfjiBZ%hs@Ja zPEG}Xkkb}RCH};@8!eZx^s>Ig*IO!uQ=zcfAY7<#|C-EW)SB}9vPe*);qdPGKp_oQ z5+b)g?$IWlD+HBlS6k>u6t2K$#x{k zb_5p&kf-7WSYOmqi8q#wqv5ay-4>QnxIz=oYU?-d0mHcLyQ25fV@0 z!Yy9g<#}15Bco>0Vlu)d`b+N(t$hw> zD6L5~b(skt+;OXPJUTg-fPYK6i|bl}pH0?&xsUaD!$ZO`wTvCH^?}yT)|l(y81^!f zJS|N*uGrn6OMT(2kaGv|gtEYP^@f`+6q_@!gXc0C7Fo2peO4*#hu9#yG68C zE|J0r4X9-Y8EjUy*&4g->GjJCb`rlz{;ht@thdJPU!H8pG1%P6$~(=k1HDL9jex1a ziBtMcq98@&!|5}2n%cmjpnH#)lvI<|lK37mEHM}y@C`N!?_2A9@%Vz-wwK`Hhfl)4 z#S*VUI}}(EYB!1iexKK|qTZ#Yy^kxB50w5*Kfr{&j`VmoKeHdR3KcpPR-%42k26?5 zOLYxU3yo4k3M|{u_VT2ECEI`#jh*nu@^C zT=DPheH9ZxJJ0EI#7IUH9QZ}9mbt=#tzb6%)367Rj=Wf-a}`WD#Fs`6iavjKeFBEO+fXR7dL+t z-5D`QT$mnw&MV7|y}X{qdvi0U9db>xR3DJrei{0;ZY=d1ZUymN=& z8eX4&xWnLA(U`m&@LNGX*8TiHuXf$n24`5zjrgtcLb|g2q6Y4|$!4bDzukYK}}-N(5(0Y!oX!m;)Ix0}sOGeque1rB0-W zD-Lb_yl6ySue)4uXMfNs##a4&+1Qpa|ERTR`rsc|>|?b4SK(bl`t~uC;eh0-f$HnR zh_9#6+vfPW^fP^}Z1A+Z*9rl~e#5v-P$hwjp*QYV>=8KzHBaTU z;M%q*Q%z+w^1fy9z(ra%;=lzel+IIs3&=BI{Paya)-H8nOk(M$^N5&g&aGj6UynV_SzUih$$i@1rjoF3mL)iKuyZ2m8jJ9{yAdDR|a} zXKkd4j&pI~9@Cq`PWh#^2Q0E1cP@KgUnQSEqOb>3Jm6FS`4NXaJ37QEx9sbD(0_pX#!RLwHh; z$=;FAM_B8JbCfRJp2@aZeL7AeR&*v>H;#?KA8Ti`+~c@;E94LU(Uk$Q$V~QsMRPuS z9gZS^S^uh&wpED#Zt~7Q=ZPqqM)PEx@Ybf*gdV40V3Qdki5 zrf;Iz?hlTJHy)K$oSSyY&G7s0*(vrn-J^wkil@9SD%}1-HllJ2*FY=MY{Am_n5tPZh|6{* zx0ggjqE&WjMh&e6f)CT{1)64e@w(chXjSGu8x13wu6E<)UQjE!kW&s;1vpz+iQ+eq zbAEfy*=KCE_Axnu0S?Z;*96u^kyp6C+menJ%qc?<3bEUYY))o2gePg!QcN67yIDSq zL-477F=Rp@uCZWuR%t*}$Qt#zAX1Yg6CCI|zWr=<+MGQld5JAUoW?|z!p0}*=C9q8 z6`_`9&(&!`hW6%U?>)X`9K8Q>!KCu}{EcU`L(kst8JPP2q7&YK!}yiUPe`6k3h><+ z%V<{mSXTEvN3c&!Ah{~+3O|!y_Flqpyt?w}4uvZT_;b?0wV%U;=K=VTgiSn^6=+)v zJ;K4lyZ%r}{WbD%NvHO+`P}7`CS|~+1)exB>TU-pe_xRx{XPL)?)-gd7?unOdU|T% z{sqCrmfZG&POVbh2c0^7eX=IaXdlv@06!hJc=q#Xl)YAJoU~stB2z@=9&*O& zb;nW&UghwcYT|k!&4eS05%Wp;BI)q@xH>wY@j@21_|i|-sZnJLuOkH>f4YTY++g@m zIhh)OS7rPdFaigj-~Wh!_5azHy9#oBfBv-iQFY@PIsxdZUcl`$KjXeue;jm#a-Iv_ zl#NP6T^R#N9>CuUmh7;ORzTk*OBB;(I)qSKY?&S;WN&o-Psh^LjV3j6W)An6HAG_X zc=^IK{x0S$ae!}BOeGbkT2JTmz8A$5M*G*74M9|Of>#XeFhxZYUz~cE4!{JC+4Ihz z?(o7tqwoJ2OUWtfZ-QA*O>tC zQ^!N!&Plcr^5t**2^Zd;qHxsC?9Y|H5SeGJH_i6!M=KewbLYG->-BiRFVjyGL(}5s z%tEMplIFwYrMJ1Xbj!t89a}hhR*Tjdzwb{KP2=ph*mJKXSc2Pj&0&1SugP}Z$Fv+a z7!mZ>{;gOTq98}yF-}r<7}sV}`1@qGmj7Xz-1V&r%8hHghY?!rs<$cVbddXM;P$&) z^(I=M*Z)D6^tXE-2e)hg%U77R z8YiB)qbIoDgUy~Fecc|J)X)AQHEo#TT2xWhWk_TAmvQl(ZDr? z-f?MZr3yKe&?o?W>It|gr?iXs2d0G3K&e}$Zo zrOl}zXAnaj3x?{EvPS9^%hwtIEu#Po8L+2Y$9u=BexpOopH}@#O0-bvziQ9fy=K15sk%p;D(X4mf3$Nv=+vG1U45ktZU&cItFCAf1>=|X8pZ@zeVl=Gc ze}IZ}`gyt~B@?u0aSSw@U~RGR44r*IaDQD~+&{JNEz}8wR$Y|Obg$p~-Ch*jCuX~= zCaQjkpf7RcvA%W@SGR|pBX-)`oXEZ4U?uQ~p}H%n8g1+b3O%F-AD#Wo|EXs6Ucl&> z>}xZY_lo#YI17ssdCDalMU?-;LMIH~W&+cuO+eXJ^xr!dh&X8G_{k+LDTJ3Qw<@OA z9BBZgCRfh6T!NNl|7?+ee=&bjmEZC>r?>^YJdt1A1#zD~Yl;)ZKM0sg`r#86q7$X^ zVTjc2f4T$@vWBu+{H0N}pj2gbL^eJ-2L&FT0g`R&sJDWNtlWqK9a+$DJ6!*yp1umg z-zpd;+VL1Li28`*qd8Dq+CEINNBzm+7bO3EBuSi^{yFM8#7ZH*Saiw1m!*%=~NXo|k zyUPo{m~X7cZ=9xXS60ysiVaLXzL(09Z=C|!#C2}ziMlq{pXIzBlP(y7`VTk`Ftir* zhpKiO6XXQz%$tVbyTy>5pvlnNwU_-m#hneA^=|jwEMEM8t*b5RiR`I$mBd^w%!ZpY zNgH~x?$Q22TY$V5Tao0x9OJ)n8e9RQK(opyd9a!xEa`JY&$7w)f0A9~A=mqOYnDFY zUs7y{>4l$gmpC@Jx>+2Lhir*L=tYr>#ZI~~?72RU#N;0O&n zO9wAQnJ3Vv!LDR#pnPWN+LM$h&!y*qMyODnn{uGmD&Ln7U&u3L6sP{h<0u;5eWeAy z@q-iz?-{L$6K6#s`4Kw90;AF79)-qb?)dwL<_9nC9yWl@b_&LA1Eu=^^WNx9=#az< zHmZvBnIsNU-VH9h`1;q83u}KftH_hZdsi}1C(rm)S*rqt9Fs=e(yYU>Q~E#0Neg%Q zXroWK)JKTYZdhBL1}f$HR7+;U^A~|xYHp|e+Ya#@ou3t(kZJHsDuy#&MO%Flu^ghN2R`%+)-&P<>3#E@88Xv%Ze--KGejh z(Ni^#T3!pG8Sl&NnPO!B7J4hk9sJq#%>YZwrVdtx#q#9Ef##0GfOSCmuEkrV2gG0? zWbN~o{=N)cd3xjU$fqNNJn`8jE%;SDUjXfm56s#VH~+3nnB&gebZeg|0R5g+%fUil z7kFC^SDR13-;ZzpYFC+#>}C~Dlb8Pe=5rmFtTAvz`pqf@jM5%BY6dZgGfh27;gZA7 z?(F@R{Li9B7BC}GzgS~qR_Tzos{)D>DT^7{P8qsJEgE^(eu}oZSM@*SwGP~Pr)NNy)N80rJ5xa#j9X5^yhk?mW`WVIy`gJ0fAC z5%+~B3+y#ERjKiIVravDQ!?RULsr$785`;91(G^$ieR`I#Ok&|HQdG`mmFxn8KS@3 zLyWqen0rpIts`q;>_(9&vvaZM5alDeo%@i|Makd?x*>{cJi)qPPS+JKe&_`(ODVMMXpAM-z7 z{LiMQ32Ql1Xs66g^sTZnKl#ST9?yY-AJmRLr*zZWyClN2Gy*-26Na#JZuLe1pZ7e*fKDLg$Ht#D55Sqx%qI`lXI3&iLWFA5B}o{x>wxS*%ebEPhr$)s@8iru6wWNFqQsjYA923 z3PG4;GE+R5k*^0=Y8=gW|B32*=0{Jd#2L0O$@@uq{mZf2Ud|EO*SnlP1C-^mJ?RaB z5B^ml4i@z48usTjr^S3;W?VwIq9FqFD335nHZyvj_8v0OkYgqdRTPg%96~j{e*a3n zYwzgnftQ(-GPM&zzR$bsG~G5_hSHCP=*o6F6z?eC2}nDzL7+v)r5m6FGfo1G`NawY(ZsL$V|c0s#l@~L49jtQ{_=|#ZR}jg!N2T! zjW3u5A#JkD-i(=WWG{*UPM8&HRyo? z=6z-``XJ{m0?l?J6?}=Gx+3|=FJAWHyjiLIZmA-pek57VDHtt=u~hST57vf69dZ7V zzU?N7xh7-*IasADv+7|baNRp@&_zKqucWK~gq$2nk`?-s{it|Dp?(%YZN%7AH8lH4600{Z z)fs4j{Dt+x`}kRS^vs;*OCcOYmLus9v&;|AX(917$B4T3+EU(Gi6ZNu0pX`l&n-R%NN4g9?+06Fyb{v`y$1tu zeSC+yK%(JR{$@B7V_^fd`s;}Qxs|fzpz&I@FuaFl#V*(DczR3icBojJdIBD^o)8kaCg^_e(O+n-rcws-`AR^N0IvWWW{nWlE+_ZjW3u-ypLj6 z?za-NPYvmjHNzGbZ;k3oGHv-4Tl~(+Z$T*dH2Mh#cBa=uWMD%F$!Gh|m8l;0F``Rk zOs_vdct?CZ={241ltEZInY~kvGT8a6R_vPH!=tPxkot&p@k2D>S#VjwTX&(458gY_ zic;7Mj+u6RV3hmu7Ny`guoO}stWT;W=tXLGbeB;D==wt`NY zvEPWHcWX80m>=5?`ZEttQQD@{hA(Qu-m1Ww;<>GUC`2t1P41qTHZ7COfH1Sh6m!fv ziP+RCLD^#zTbaP&(sghibF4cnur5!2r~LTSc8M~JT{!1Au#GC*FsAb-9o>yj1J`=< zAFq>iNZ_3okfrW`v~P-?hcas$PdID%P3G2KJZlqAI4`3WE2mScBV@b1@c7%vG8lj1t;PSajDlQ|>{ zNuTTH(icdpKrqibIb#AJo{Ju-l@4ghBAjTCc?w*%TZ6aJq+hfi3VUz3f|$Itx`<(Yux=5%RL?OZyVP}O+Noj z$af|c_e|d-MzFA{b>LILY4{s~LjkZW`!cUv$vzdWChcd_TCtTaU+>PM$a7fW0LR{b4J7t&~wv63teuu%zfSqO z&1U`3Mhh>kBg8;YZpr#_{c4_yS1OpD6T$IN2R_31@;;C_Of|KUU(B@O$qhQ(yWi&~ zAJizjn=)tAkvBHn|BTkIB?t*Fv$;JpN16NH$ql%3HlxNVQL6Xg8E$G8es)s3ZG8^~ z(MOIu)3J2-Y|3BGOjoWrKcZKNZR|SOetwU}0Ay{(HYgIT*>fCd6Syl_X_hf@c{rq8 z|07VJ+RCbzpB-JnLr~V(DA@s-r&jd8t&SnEnst=&sGxu%&?M)JiQTVQqNuw8Ynm4xvL4Rqc3g zIm8cAU_9mBhImx{yKBOWYz|~+F*<1p^@KKFHHpzYgFEXRex>BaUw8K`xD#p^OzC1p zr&S`ypk!}!kXkBNWSK}h-5PHu3`s^B!;KdLnY&QULqFjSHeEMkvlEh@0b!!)k4 zWTCxU81+)GI0;+6x>WduUY~Ja?>?a4Ja9Bb1O&4ByzSZ0!I5$|CU8)?Mbh3E_HW2s9)p7EI)68 zo?PDUACahdFYw__r~G`=z3N6mc(>7vc7S`+cH8E6^up?cOwdhBiFRW7=fLw!>m)bpMm}UqD6p!VAAA^sBk( z0ZanmHXu&*G5H9$=_;6XC@@R^d%(pxHW{@Wl` zT~lx4Okrw!xH|m#ZhL)IHyT`2HY`W^W$UTBGh(PY0nkw zM&=XhsZU{g;l(1xkb*?i3Pnsj;my2e@2S|9UhFVzGO{4Ld|>gRihGnk=3$SM=Q14c zQ2nWLb2KQaym)K1on`l;Y02#g^3%Z9>bz6Jumxa;0hE!ceEF{a&&0Ka%2yY9vE3}5 zf99Vo7cCH?b!ex;EukJiFD?NyB*TCWf=Q*cO`gJU4S0S@2{4YEBTN!*5G+1CIjv;J z-mf6e31PJ2F6QnSJ?+%K>N}iLIr!Aw^HR&R>AH7gAd4M(?u}yQ8@S%9#1O=x?j~QG zQJZZ2=MnAVk(6`jx8(Eqe=8nh`p`_X7kpzz%b4txNJy^s_cf!TJFSE~%SmpzwfGm( z&ngShjj!sO*^^hdUSmN$iBHC?@EaPh41T?a>+mD_3r$We+=_5_*Dp62CnAiJ=af3y ztLVJ(V9o#XG=Nm<)6mZ@fQ4n#TKBRd+>kY(N83Dv?vjT~md3a)AO{7aV$hqtkcSq-OQnb)EZR`*hi z$pdb0sUUKiykM-r8($4?C+7Z6#l;A(Y2sGu?#ruX7!3n|@h-))%;g7)4*x*gu{+(M)Yat& z<)fiutI5<{V=&-NK;?udLZZ(cibqe_W6i4{@|O@TQgDx;#qx8K{)=fe@bNM4T7^gb zl7Ze9M?AQffm*>`m#_n}>1U~g_0}?jaP75Q<)$oQbjY~)z7e}?gLfT<$wvL$=N6&0 zvP%s#|GIl&=-~Ag4$`Yd^j^`W@m|RQmYICm@ z#AwR?Sy;40gn>UfJG}ebgh8Ib{RXX?ZcB#_)_bd}RXeorn6{%~hr(Z}Hlb zdy_!|@VyoTmcl4%i4s>brj&3A;MV4Zpu2?3_IHgNA;4-K;nBA2l{xhz>Sn-UO-h+QA(MskY`?8Gvz>X@_n8q~&oagKQdwvdVD5R_FLw!br&c|| z47{&@nJ9PInS@Pdz05^%Tph%crU4DY1-lRjaUp8c6V^><-M;UMVtO^ed^sD1j1Ql& zT1)1yZzCi_C-9QX{f@>NKvFqs$9L_kWpd#|O(hX4YwMe;f-0A&OA65StPl5gk~mev z{c@4MQoWcTc`6$}{p|EJ0hxA;=5mYW@O%+_n4B4LxYb-kl1X$ZMeiL9{tC3lDKP(ebfcZK-~rS5s|?HV)RtDOcljM+ zYIqle#{o?nf(GnyJ6)gDKT>i*c7$-`%de9U^ z8H-dnlRu}f3MJw+p#LZV`B40W=;7VHFetkgbzyftp-+Y`Jjd-K%yrxAyHe2qA?vN9 zn*QJTZyL#oi1biVK~cIp1XLsx0qK@*kPSwOfYM4zY#*vpgA0c|eIbPQqF1w#|OasehU?)^8(3 zKTAsZeI} zMQF72haSU>-An9j2=($(lk9$X~gbr%JT9#-$#zzSj3)Mf{_d)A}WF zETSSvE1&mlA0wF}Sy4ZAPhsn=Ag%Xn=u7AmS7|t(4JX=>fM7%@4F?>C4zH3oU2!m~ z{lKa)1oLppu$}33ZA#=dm-?KNxIJ5r=2rahVe{=qmSpqO*khCEaud6MTrx%$h~W!B z=3^kkTk0Z(e0f&2Bi{J6r~P6CEzBO#N~X_4+2G`i#>ea4Ko zzk0xk1k}%wQ@~hIX3I8U{FrDifK1r1)%x2;wcFLXFj%=oblSkttq4XwyCV(Ktx4nw zfqcR1ahY)6S-fc8*gG8pNoUF697w%h*?Y|-HuCgEI1wOJvNmzLiLs?{cUOMg8D7^$SIG>>89K%t8>b;)a zhdBivt4~LI>p{zk3=e{ewM!7;Wk`O3L??k)6e~rluG(&wt06A{JtqeTS|5My$#sQq zgT7rEfFqw@zIOAE)*A;TDUBU-`GcIR2C!Q?E#4jP97oXh^0MX}=%C zWtML0zBMKPbLp$+{i;!(0*`2UsZC7zoXjGPTG&~C>&r8-tOu*lz=qew>x5oy+(0GQ z=kw*iaA{iVZgMY{SeX%B*|9b`n2bvanQB4=AD#oMAwF=J{@RyYR!E}P9I_?J-{2l^hZ0T$E;XakRwJ49uJ zr*<+Z=mpCCkh3dWRXZSX8EuTgwg|SGvn-K#vqW3U-*Ixa73*+hHL&mw(6=hHy~84{ z-}Pb*eS&bU)|NfaYxgRQ3)+o+DjMdV(3L`gfAZcAI!>??Ifhc=Ewu+Wbb*jF(yIBz zx5$N^+o@h{=dBvTv@$QE1c@eTs5C<$1t%;!66nFix=6XZ%cQ zZ!C#$Q3@7BX(R&98HJTT39*+bZO9%8t7rJ>g4EuXi z(DK9rP$`pCAa;6dA!|!+&AF8>^t{pnInZBlKJnI>9ybLo->1&> zr+7Pt@M!9H>aK}`^Z=cr9jEDM0VkTn8a7oXy30{ri9eupe518QKmWAp0?V=A-80~Ev^C939^3xX}zOaqrZc2m6T$l%1;ZKI~ zDul3&Zu(k(-b>2;@F+O;DvNikL8d*wGUu;2z5%cGU#^)S=dlEq9K2KUd%l>k`ALRF zsIpYAh>Ze1q^3rlq&MbCFF2y3$fx$w`L@6^scNDDcRN5_ALy&}2qFh{@apW~p)idX zLj$v50XxhoKA(S-ryCp})do@`cKfxNPN{`ch*oXn=EJ_uzTL+w$owJC1oJ$&=@_)` zuH!GDi5rFLU5c~Qy*$m}@I1TI%VrO*-uIB`z`0s$r9_Dt!l5kW_rmkQ_+6^QBf6-l z$ISlr%KXNUn4_gwnKiIunp;on6G=~=8oMT@tqQ%e1>Aaf8qwE0P<|$x>t(>P(_lZ6 z8{_$qXbtf&FE65w3PAb}s>Us#`U0KzR+wg^Es;6or{ep-)l6vCLuHFtF1j;dzjuuB z@Oby4*_8h#V_m=TXp({RU?9Gkz3O->r@mY3%^qHZ^)!$VU>?7?d-MF8c6Kjt=t}*R z`i9hlEuN;S^6I}tv!BQ7M_uW=2<`R<#?4w3y=;7(X^{|G}UtGAY!Q+ zxu91^K&UG?Rf`aA0DqhMX(Cri5Q1^hz(GZuh;t$q(my|!A~r~uQ1g4Rh$N4#ixoBc z2m*6t-r`Pppyu}VLeevc!ztsHwhMZpJX4;3-%~e?t-wL)Pnr65L@XEOI%*yjxN!O# zQ1)nsCk*p*>Q~KY|BT$~m%@QIT)oxIdv+!_r@_f7y``Ag_+Ouyh1jn=c}PpdmH-%zr1t{$!M)PQcGw!(m7BT@NN7=`U zi1WMImppbPr|Q{t8G)0_3Cz28zXNyL0Y-rdSoKySZH4YGo(-}&gk(bTD&#K8EqraR zH|}Ed);zq61pKroo79g6)u)qszS@5E%bVq8WH}T=R2FE{6thFMH9SpT9R39wcrszI zGLG3-aFM+97;dsGEV=#`N;Zh0z~=L(;vSvNR4;JxU6FD9)JB3%B=@Kv3!Qff_3@AK zA&Rj;IOP6f$^?RVAf)0jg8(sLv7HeKVWtRp!`Ws4l z?+P1anuu>7FL(au#RZ;*{Qb5h)<|Yusg;a=mFxev1Pus!5vRvV0*n?sV$Y+n8Bmd! zgTLI3aNsQ7=_iT%&w*CabP$-{S{;Ez1w*U4Zm-L2s$`tfmE^=g3GmWb!3h;e{xR-| zF)q5XskAH~ggDT2aPcsaZ~Fku3I=ky9HO=5t4>4;G_l!UWwIkyv^Yj^k1BaJ69t%P zZ;Zm+b=>CO*}G0cx6d*nsChfHvQ@MxaQ68&&UQ=;Kvzt>Kl4f?Jir4Hn!~enu>3>8 z(0L%|^>Z4PMuCawh+>yN*J_;Q_;fw)pi@pLob|?O7@5&ZfSPJz0rD$yn~aB(b=t>g zO*9gAZkOj$NiyRu%{+#E*dRHI2-tdz@v@L$H+?wZ4kBZ@ZHr^K>Np!IS*3VHz;Ck362cX zYQm)8(Z{pQ&MqI;XMT;@-t9W_Tx49Rfc8C?typ~*kf`%VZhHiq;Gq&nTnGS3Rk9UF z{A#vQ2Uaz_TS~`PK!$KbmF>+t7=JrJv)#eIu@#1(B^5&?Oh#G+>Kt_^UppV3Y87EqBR>jIQ_a3&L043pnG~<0fV125PlN= zU0&hr!MM(0=Q3H)_ZI5%zSG6(i)!o#pI>IT{qaRkIi@UUmJl|eLf-x2^}H7rj`eKo zuiYc#X~;kuA?5pwzxgVdWAMD}Y9gYleM}?!Y3-YoeJ@(n-YiWYKj}z4`FPFmmf;cn zPRoS$wQEZ&Ck4fO@98MM!NrRh_D+OV46?!h{be~}dc!|zpBJIp%_|RlFt^!z!c$7O z$>k87a>2LvyZuFS1VIv5yqe9<-0~LKr(rE3e=+>GZ}7zj^^T8{>-Wy}cv|&c-q^{a zOQv};Ms2}5z|e&mn%_YIL6o6i1)ngOncOaJ8?nxVFz(~1@oOgr9!NpN`Jvpr#G7Eaw>Y&z#i z^QY^@N5sQS%9E`^hyVUlJ^>8&S3r^f#{(<-N8@ib5EHFBm9eHObMl#;rmDW;UOxHa zJwkph<-Wh1e_6iizeZ5`x|W6i*W$K9Q zjcK{hRZzJ>adfd5`#5N#+I>#>)#FnJ?t`4)tY+`MAa1PhvXfc~JfMxoDPymWo2Y7=Zne4s!+OX@}&}hhi~9bynEm z{|A4f{r}@nn(+Y-E}5pLXSlZkzVVX*4`jIDRvAoWwVaW7&uHx=0vS!fqNWHA6L>)ZB>&y#OB-&t{#q$+ z{2BAscGL0sX@a_Z&ug031oqckG6AT#XfF4qqp{{fofYUICC1ybCRc)f5Sdq0kMw$a znQzA_g3XpEb!(NST78XW78bWqa+hgXUe)~#Xc@fDln)tJSzyKwI*w-bJmwtNh!feEW3Ha0*W)5;vAbF52s$f`c2puqp8Uw$@(v?XP7E98tl__XeT zg+RRy6R20n!xOO;;)x0W!5l7eiSj_)=qz-wW`LH8y@wkfZkJha=r@x~8F^GyeC;vu zK%4SCQimba`o9qOESnY+aIK8V&E%l|23YXdGY-j^CdnbvZ;o!8fnnsZE(8S0pe zg_li#E%R9^1#k8-_{3B)H|4vsXIECLUC*gA%OaJ`sJMJ#u4)eL$=TC{mDlk3BYv|8 zDiDS28w%BWNk>DL4aFcGi%9Y7~gbG^qa`>xOA&W*~fWR9mo6MjyHx zD+PJ|ImLKy(jj^jd9xB=XJ=e{Jf|rm<_>K7I$Ds}ug2cUs6hSU^cKHe3)O1t5!IPY z;Zp~Dj_^La{;WuC!<#qw-Us5-92^tvU41H4n{<~Ml8W|tRtZ6Yg`?C@)|JmR#cLJD zWP^R@CLK{?NBc_6^m6VV*q!>yI}TZah^F(jw>6_Fkj?Kd{m!8 zsWWAPV+)5co7RcRyToe6CGxZSo00^e2$eY^O9LFDWt&_)a;JwZ{#~19+28~Jw1U7# z0WQfMd8Euh-zK!#tf^b;*((8aowi=02{Pm5AyI9Gz3d3l{HloVgpw|m6O!RY>_hq$ zyY}{Hmklkigr_~fccdl_r9a^qQvaC{xy~$_6Jt0i_ADgh8Z2Mj#p5W)Vnc*;Wepbo z>^rJ#2AcU0+QnUkllP)o0U7~-gdiu%7Y_ggD4Zr8S0l@3KWbA$J^->z9$8>n+&)E- z9E4yB$o}2HR_drF$WSlyFzTOBP2R8r8_EEOHy>2 z*&rZl5pnOt zSY+RC)q0rCJJ(P1JiW%wx_uEDD2(Rhn-*}Aa=L#ezpKJPem38SgcvJ?l(dXMWk9vegSoVVZg6vjQB$+ble)>$(sN=eH0}rxppDM)}we= zx@D$1_lSh%(k=x>y!n2s|3q(4$#=^t`u3fm`1RNj&;}Qo3Rj~^pB=$4Hg74%#zpSB zRCQkl_0MIN>%=W5R_9QLH!D0(gAjzyr>WK>1W0SsO_~PW@{bJxWxeNhE;Ln>b}oa2 z7Wn9}$D{O~Gnxm7g#A|7tcOH_Kr*VREKXWJGH_wIk!n%*w!W?c%YQ94A2k0Tx@}C7 zGrXB;%8svWIAI;t5&+i=#-J_|<)>IvASEY{2c+;1Z6%=~(Y&A5-E;kfq;r@A$QUclrF``lFO=mMAplwn^Z}LU+FhVb(OK~3q^*D00KHtlj zoK;_$6_Ks`p+hFQKKsV6tP?B;K7Ev|b5xzPvKiX?NmyBf;%j%__uGX*R&ke+-UcDG z5PIJ6Oo5I_*`uQYL#ia~8|Moz_ohqO@wC_Uc!Jirmr1ld)jlk`bXmjr4Jendv1RMD z%kPH2JF(i_+|AP?Qs)?VhmKlGX7NZHBr0`%cgy|$tmnZdbCgthZv1&gTkxSCh1Ul- z_ImDmD??k-x5rELeC%fPF|Ajlh%Td$y(Wplj^*OeDMV-a1Z(DM#~8{5XG1vYn!lCK zIS5xWW^ z>R#!QxbME|P&ngc6+|EV3!w1G_+HA}$;2h3c{0xn`J#btw9fQkEB4n6_ z&^M)gh%%L*kMuGb?QK||cC7*OkJi(npjn8#Hc*i=Y~yphf=g$!3A5W5LL{zy_s5y6 zAc*Bd`8bYFG4tp0BcS4o-rjB9zrM1rhXt=zFcC+Bms>Y&ys(V)6Gi!GkBbl0Trbb+ z8oI9y1NNQ4(lyruiA(17@}I$>M<5j9!!y)U?${Rn{lO_`;DvA`f?=$PGVF_~j~`&krUmD}|J+N0wyrwU6Ybs7-Afw5)@w#p6cM^AsU zD@P`pdYqih0*@Sb)u0WaY)XPPfoPdmqlRv}1@|pEPRb|1bfE2wQP~26AW^{3<@7g`Ko1e3rK?T!YAe{Zmk6784SRjwP02CgN>rS3M{ANz^+q-NZ5+$h zsQlV{x9O7W^-bs5pI73V7o!M(ZPqX(6IdZ}EJDc9GUr)u(`X0#W&KmV?HSTW*SVR4 zN7*W!;s~TE8qK`_$8NJT#iQ6S6*mN1utHcE=zVe$>kT-h5spq8vnThu1Lgdoz1q}i zSL5jiVrhHB<(SNW`(Aeoi;u1p-ge+bNr0C0k*~jnjlgZY)GLavBQJbNi3uRl#Gm$l zq_>!iQRWfK^z)DNs8{&e;vUuZ3(PIw1E}*fp`*0AVJ3hs@N`VY3cCCu{crgQKc zyu6o6EsG^o*p({QH&cesX7O!!*!Qk6K{rV3iy+txuq4MXG^%a^IBa zmlPYjo(<-v@V{p@leT2mk0k{beNHsuhhgQd&0j9WDGflIQgkVc)j}eQ*)SY zBvP11(H_n*l4FTRtX9bzK)01D1Zrv>%%kB$HM#*Q~| zn0%Tm+CR(x-^rb-hfifNFpJ2^pFW<(NaHgZ%K1hJnQ>1x6=>PiqyKw%H$7X98kPX? z-KkLKw1uRN)YviPi-4QBD@U#8I%w<2+f`Nm z5*7$&{o<{9FBc<4u@d3GP3GWCjWs-f4b>Q|E*|&KLa)3+>3-Rd^EvWqG0KD?iMG8t@)%Swr6wtssLRV09)_Y*E+kBV9kDlMnAZ zZ8bh8olWLY9#Lh+^|3RVJt^4>Hs9&Mz}@l?Bl3E1UWe^aW&aA|!V{hUmtxasTL4;s zz6G2L$uZ}gOz9lCz&@swwi1!9e3CvnmrLfS)lPWs>O!oo<95|&^ccW((~Gn*Jk7o2 zTA00^SE|*EI$^LLxw+o5U6HCUF3;tuFP_Lbna+UPY9|#a$nN-1!3N~eNuFL$2kV)8 z?GMT0jHR#-_cecR;56!*DlA^d(V#712(2c09%J7Sy61yO-|ZFJB3g{EyT;?#3e#!$ z7t>lVtal{peO$Um$Tp#yYsT@+p*V8F_^95$1J~ z2)vPDg+91Z3h^L>B4IhC@8(PZGMgSsH)q;1&wz!rzc04|fBN|oBv$-3w~6m=LAKcm zInU?EYwrbhRU_`%`UKhzIRfaOv*kpXzLzpquVV& zau;^Gwkk#LqAy#m*8JuNEg*=ut1C9d3&98V{7{F0`ms&kk$m2=W^NFXa>uUnszY7u zzM8!G_4VV~ApH4}@&O?%=736vip(6JA58U$9BvFE{(9X%%ucGut$tC8&}6BD41$h?=TILsXx$0V?ilLHvDKTUwu12>PtxR+#F`uFx z3!arp3Eazy}W|B03*McZ^$XsTlR9SWwm_8v+4dRX2uKSjT8y1x1_ z6)Ei$Y8QQ8?I4hkDI_qPsv?nP2|m%;qD>URmJ z3r033n&c@|jz)BbCod3c_7?S+^-*1_c6~vy7v66633%BiuIa0=tOv8)T!Q@0Fy2`} z&g>Ct7>EPSy)eTuwEdD}b$Hl=zatQ+dYK5$kyYpfobS)k?3H~s5@f-^C7+Y2%D>E& zl?n=wgy_6`ym<8X?a#C|u7*u1xjwb6$iQm_{|(}b*Ls;Zv!+EPW2)QyG}Paia@2B0 zSr}uUJb3~SzhxB@8T?y~L5aAs8%Xo}yVw&U&ExtG0jkfz4QodvcE!SQbVHcCG+wp1jvP`Nfqp-xlNkob*62COJ zTQ&HDbqi1YV?QtjJsYs!_q1r_IkD}_=XN1!>DCp%rSA~d2vDl4nLzj z;TvQx>YJ|5R`?}!KbmV3;*SUIB%W%|-z__|5+2^GK^<$^v$8q(_ z-U5t(pF)pz%-h-{>8RO~PGiWqvbdhCZI$YXkt<{pcBUWA%?U@5ZwEFcaf>t`a8g>Z z%Q<#Ivr(wLsGh2{hvB4PP~%;0v&kUnA`lJiptf?Dwr@fnN)t?D`J| zS&oHxUi)(pR=?)Y1=k9|A}tgek5N)=@1EY5hz*?Di1)P_k3M(|$ogKc5yZ!FSU36( zUJw!hRBX(@!ZQJ~fNlFKj5fNpJF)3@&09#*HBB0oLiq#tvIv~EqtKmBnxzt0<(MJ+ z3Nm0Na(56^$R;AIv=jh*=$7mfqEe3Xrh^zSZ?7<4^#fh{8RFheKILk0-$ic(x7O2Z zXJsbw{m|SVJtB%E_~CfuJg0Z30j>oh0N1c^H$~dn1bmZI`l~T4kmckmk2OSIz>~ zUvi)gDJ_3%+2tD-B;)zI8y^A%zPBW%iqf7C;o21%#4po>njyQN_PNUgv=16$A5%08S^^3iv-N1siI98$ZXUREnf3-?6V5y_YTu@3bp2aSr)a8vv{j!{ z3rN+>-{AL}B*j6%e?!VLxKBgS42KEM zwVMPf77q8s`Hg6?E``sN9D!=RkNmbirDs4Na5snAI#1s_B*L+RiCzrsP&N_myEjD7 z?hF0xyE&c+dndr@<=#UlN#WT$Fw(;3ZhPs3kZk|=p2I!2Fvq5)HLfMgH|)SE2&cr# zGnYEXWq%iv@-`Lm@Wb{7&Zq2TpT?5t4VPXRSE4Drp@eglII)Gr8pF@14Z$7@f=SI= z?dlC6^-^@SZutj{FOt(`_-D|>SQEk;0l~x1K=WaQnoNTatqb{e{Sv$`ZxEh?99hbe zgB|ny_qGz`rRr&8xhdnGH5OE2M(ZJc}i9XFB<0`SE$< zR&b2(I7o*!oWlHw^jyC!dTb|Wo8q}Gl7D%suNJ7T(zHOi&`yyLGHpc3T2h8m$ ztJou(JT9Zvx?V6}j$-*G9Lo*7-u`>*S{f-Tcp~3ViF!Sk&1HgTgGZ0(Zu*91e8Ihe zP{u|~yg265B#fkDKXq5Wk3)8Nxvm^ut6y7!9=r;Yx`kF8ct+VSm@3-3)~m}K(Y@BL zdGX@`PEOfP#h(M@@_=&t^n9Sdr2NYXF_NUvPerR(yLAl7=KN|S3o6Bcy3O?6b5jfo zRc`<8eX~w6`SNRq0L|Q%c0q~ z$Y+DrvMsx&&)ixPqpSz6b5p@6*XfESD2ncqU@xP(F826a9la&KL;+T_Ua~?slv+U| zgbFQcGybb)Ntgb5`ogDH)Js0ZhrB$t8n;|Az;!(C0WS!99s~OEb|-ntv7eq>xlUw<~i50iTHdbh3Ia;8S7K%b9F@)_icZJKTKh z_47#2E76-zbc;gM^8_x8_v^k>`MBnzn_B+nm2k{?#mUrQ6{UhZxNg2Ix<31bYXc-X z!q}NG1Z!-H?;Lqv-N|62+@>Y;0eKsg-iMQ$mgW$KJOQ=Mw(0&7)Nnmn?{YBtK0yIU zWqQW(z@K;*J~M3bs8=Su#_Qt@Z*%Spv%_GohY`qmkojZ6-g`KuimgrQQ$lkIMX|^` zu9Nq17>=g$SV};Si0aIx?Ih?sb~$AD@l1gw4HZXIZ`KtBjZ%Y=Q}76!=QUr0t?Cgy z8{b9NQ`*`r?aPTT9{Z3a%UI)=x8=U@%k!Q}6*Wg(!)M=XvD-*c9Cv+(8(VCqTs)M# zWw7{SQVh;xm{&O<_1HS)NH*xMXivjS4UI~@CNce%*S;5o$WG=6r{@#Y7l&&Gxjqe1 z53O|RXL8+@cdTQCD0TVJCX*!i=Xb>SM3RR{0hJo3Gm910i zKhU0Us}g6sF{W_65zHsvlk<)_IOxB>$uHw3^qbYig*L{{JcI$> z9(Yl_>WF(En{&jsop|1vsuqQ`j9V%tY?y^>LPp0&q<-7;+;~vKqmy>5cD5#hcISs( z6Q|iJ`f%sjRb?YX9B_(da2!&k>`U2Mzho6WwGs$?+Ev#33TnD?U|R?@cz50l3=u09{ zaVE21ybQdk{AMKV#ESbooKOOc7OS@@zucjT@>tQr#v~|QCdgIePaTnr9Wa!r_PaP0 zpQ{#(svNW>=^_!3!8QG(Kvx_iqd-)|Hs7=_Eqj5`Kl6JI&7&Miuz|3K+iky+u6Ql* z7IvcE>^uDHBv3oj+_!6P_ho?h$RmjsqdHa+lo)n#u33Mu5ugW_a(z#@ckYso1mTYm z1e|;+hW*J2(SXT6y@IW6C%GU;LF?3S8^7~C7AFOc5#VTFC3?e7RKfbIBcUM7dnh=s zBx64HgFFk*;qRpgkD8P+8sDMn(EQPev6`eZE0`(!M0fRT5dQ900n2}pOm4t`2tp;u zgF|}1Hf1xib%|);tz;GU=(kA_c*$*fOXn_na=Eqm7)cVBuu3&s=a1nWCPJT58HKdA zX*RFcK??&rYNL&QoS86Ni`m{nHq@u~A8x;MN;P@Q-xJ&qBLNjx(OrB8)@smz9uc!A z*@Gi@y~1SHJAEWw3F?W5T`QU+nd1%%iy5qDA5!N?V|2cAu?7chxuBC*FL{LjW7sHu z-!6r4NDzb|sO5jv89^AOxUH^lhxhgvcRK{Pkly$x=G#oytOD>KfffAGan0to7o*q7 zTlwW_v3B+?pAEKpv)ujwRAm)I+x+}Hdo{~94m!Z2p}np~UqafTvZM1Ofhqx*Kser@ z34>iNL7-AYUf3GPxOeg!Dc(YLzwShjwZS8Jy@Sz_WLaXCf-gKi^m91xq_xOx!xWzz)M`QK#_Sh(@79rOAD z*4+Kw6F}BZ)lM1WjPZA!fFQGTbquZILG|-_YhPKl4peu055-W>*&v8%RcSMluWC2S zd^AFDEGnB={_w#B{-FN3aic+h#C!R&q8Np0t@7#mb4;$-dR*QbM#Q)!lO3r2RDG7f zb#4vYftecuv)CV(9YtD{MV^zpD>lImCe&LK4W>x|o94EV?MBSX7QY1b;86|+o;=1_ zFcc@fi_(_6$-wye5=N+I)OH zP`;_#_ghwEOT`s0Jq(NvvQQGjHcLl(8yQ8I*f6mgwyboKY(a}VG!(ERBTJKC7>BGK zwgi|``r5v4z@{>*B)8^<)wfg;mM_g)kpGUyC_i<}T|`L$-Qiug1z=Re^+ert;#wdz!;A<&lJCSFg7e$`r!N zt|NMKfVbXxBF4jH%ub5!o*plmI~ZR)ev7DnZJr(07+Oi;eZf$ercAr4-OUbTjE>#W zHieirIMB|%4sY9g=6#1vRgq<9U9>62jOD9=C+k6o22hbtwz>6s_x&sT&$#DVVEa~) zr48bV3vsfw_^q!Z!(6*eaRP_FOM%C<2rtmP7L#yl(6@BamfGIs<;{91Cu7J?`2e|f z4L@qY$wzOkL`$LF$J8^^=Ry()$Uz)n1P90<(XzqfVJ`J%KQgZ}0@8m*HXQT`ZkDfU zI*lE66Hl8V#)kEfqWp{ z<$Ljq2Y>f$&U-A^cS+O?L2`1gM%tTzV)=IiL%4cWA8mod*U?E z7wz(|6Z*zZ_Ab@3hh>z&pWA9M=LXcaj^Wouy#T*quG+KjxY)^sHZudo z+)~F@a+KWG36CJNh)KLzNqI88ssC=3>goI$@4ZhZoFSlH`%^Ai|l&LbL{l zS2O6zM6*nOzrcs(oth^NZBIbHV4fZg2V;xf_OEe{&pf^5{C99?%swoQx*PRtwHWgn zr~#eJvcGOXSv@tEACj}G7r#F2vKV!Km^VNtmR;N{ zE`BSm!0XAaUqZ1jsE*|#(y=tH>tX)FyhSw!pZnDWgQ7s?6;B&CeKn-_Tpyqmrhp_s z7Pq!qKg9)ouGZXB;YE;Nh;cr9!S^9SvaELl#Rn^v?@?W~Is`KAe^pyQjM#dFKJ}zO zB_{oPMD0~CnueSi!M&p@dx~~)lST&SL0Vg@@~|aRnJLrasmm42LcPrBXJ0L!z+v=# zu3q4M+E5NvtACzRw4R#=zXp$3!c24r#r|wcE;Q-cy6MfP>WAq<&!sgl%n=9Vw7m?GlSu;(W&?cN43+B*lTuK$ zhAD?e{cX^{bH3Frzg+*t(<+Y}p#n9hVf^&bQ_j}~Ggzx+JoBa4^qr;iT7?;9$Z@Z7 zBI@d~d?15B{d!IkM4@B$p==(9S{Fq2N5fFkLI179fCun~rBLB;NfB$e;7YN}=ai>W z*M(v7Ac21RyluIO3kkhjdv>s9`OBqWJ5}kfY;Lfcq_%*zg8+RSzOy=^zD|5PdX{2H zqJSMaa$DZSeH6D_a#OE=*|SnAlKTq=XhaE4sy=bk4AiNeW1bzg~gfdyyYW7~Av(GwXAGT3jcnV=Qe7M2x=61*$irZh!i+ zJwisPeB`je0L}cFHhmPWSSp{WH0RE1rSpm2EPTTV-EVT3#XuJ?aVOH&y^K#htux>e zV~z#6O%sTxX>JPwF{Ak5qYU!x8_B2`!0ho754V^1&*N#)Q{{k9qZPjxnArMR)$zI% z^C3jwrBwxjTK+d>lk_w_HN@3!0kY8g zNYl-P^Y?yf!f6*_4-4`H^4KM&KYec|pW};&GcG0o7w`68|+ z!RA$Flfg8c!2ox^OL9X>@*~*9(o=+CrX}y}J+qUxW3*U|Zp6=^iLR91@)U`pvct0* z57pDW15YtLi-=xnrU7SV@i+}H`_dTcroD`b8$#^NC1io8X2i~K=texF3puS2bkYaU zTO#lVLub+^tsBX+@3ieDDq7wf(84$jXye8x&ABd@Gpp5?+UHXb(FfA%5#JL{KQ4Kn zbkw)l-&ir~7Q`6|J+USoG0--UrWlHAK*r9to+9&gd3N^BR*>hI+Sy)t-!Plp9_=WZ zbY|t}n?_j4nh3EzbRQBa*KCJ4`CESR_hNRkeS)8VqX6yD0&wN0j3^K4xOTwDK%ZZA z)vn|jOmmaMFrmc{I3W zC9XJoz=@lqrW+OzlL`wlF=;_bLw;2TH zU&6R}eWnBs*eWLRM2&$ns8F@Eru>a5BB+eUlH zmV?vTMVsg1eAYVoMcVc*IM_j@cr7Junfa8pNu0sFpInCOp$@wm?01X`yElX1l+{SC zPdl5S^HN?{#f1v2&3TQ@KZVmu@m~^(C(|R)MQ<-HY^Pc&8SjB;pdsCk45_{}2#dRj z$?O_wXEVUZ0NX$Kbl-WeS%`;rliK@b_eBZUh|_enlggCU761esFn>*UhDq)o)bhyt zPkuRf?2f9{7cLz6vMssl_qoi$jVAiL!C-<@)6a&92h%7|f;u?7;1tpzq5;S%PaIXC zia)`gyBngagK6c> z{)lMna(Q`!`X)H&_AS7yu)AYgAk^0t>eDBx_-fjWY)`ZdB+s?w=SshKa`qb@t zgfBY!dA$U+@0)G-?U6N)DA#3|VPZnfWpuQUegMn%NrD|QtpXk`f)|LfF}?I2fgZJ( ztJHTD8l@BC7nVCb-MipBw*$TG`_lRYrPs-s9-2$v9s+=SMEVL-D1F_VFpp=3iH}F6 zq7kG`F^?}&8KZ6+9lDsZ|2G|}NeVQdR}g{;%tY(s=fNsF+6Tm- z5bJT6XVLiVDUkOcHb79b``P@(z11?sPMD(BuF^+tQ-S!&+X68^1MBo490_CGW_A^S zG9k|0QuG%OmOo`qV}!nmzJjU>(d(sMtH({byYi9LO@Os_s7zhPW8bck@pbWsIc11TQ1VY zv!%i6$&$l5ez;-~8D0mE2X#~=U;Q`O7_9!wvCGVfQ)sUiAI80X&Gj`R1B^Td4pxWm z!y}A#5$sERKIWrv?Gz;dazJMymC5?y{U5R2Jc|bmAxU1lyAH`o$C_O5_WHUPI?L491Y642``lMU$6C zslKcoyD&LE{pOV%Y;@zX+z~PNZ({x6{;R-kyC3lo_?BC(0{d?c*^a*=nDDb_+hvz= zSE@n6!|xF_b{}aJsC%E#q3-%+&tHkj)BV8~6iN_|DbOv4q&=BTz@fpnS1%DFIL_W`c>$6KPs=DyU_^zXU>gH4LTm_HKFI;Ys?IZm$P|Le#IJ%i}dJCWi;Kn zZN%T}k##b8MPLn(G(CtBnNen(V++X-#)n6eDrRNOU?pmV`Csp{7k;MZq@t}cD3y!( zF~S7Pa{TQpML_>8RzmjrD^yTgKP5O?;<%N`NTDEPDvCb9gs{?ip4|D7<4|~88Q#2X zbx1Ve6Lc`bl)!8%zuq5Cl}RG}^jtd48ron0y5mx^p9nBZwfy@L0BE@UJga*`()vOW z?Gey|UWULUI*}=(#wj7(3CDy@(VKvi!`4duU&*}-^_jh3l=KnV~eM%>M=od!YI`;*=?2YmPT`};<(0O1!UNC~c zlq7p)ZjxZ=3Fnet176&>4_LPI<@a zVz%^}kJxkvU+Z$&-{w<#2e~S;34y!FwajD6ewl)KR_6WYUj5m3L38q2@k8nIo|evz z@j^F;*j}GaQ{n?yOJUlhk4V$0^V@w)O92LdQBtC2-5Rmt5C0~RvAfcy%qG-^NpLN? z*j!PtrkJI%r_@afm4oap3I4dBbU~?u;09ak$ldLboj$H7)+40)OG30Sx3^HM3bHrh zyQD{J8oHWCxK?6{Y0yS@6eSv*+Oy0Jbgvzyvj&WhXPaw-y31zEk=2V87eQjK*ZQae zpdis6!DY$78n-Iuxj^(nDGuu@13rLkjh}7(S&a_5Hl$FP?<|2fKAX?B2Hy0C9X-Uw zp_Asz3iz2@oa$Kj-cbOuU_U5zys1fHLsHKNxTGsWjCiE}R@arZ7oi-%5prle^P$)8 z!+dMeed#w)Uborley7i5jJ#wAuuYJ0gZ?E`*#|DFq$36eA_b$pU7wB9&uX-aQIvHP zj!d>(;4}PwsvKTu2&j#5y@_m>6@Z5{qmK~(7gJ~9)#T&8e-J5&DM-ge6jVASM=K$z zh#;MUbTb-7KuKv4*+4`Z1f)mHhykNVcaIt)M}437=bYa;zrTQS&a>Umb>G+Zx_~Ma z#m;rfp#6`~+wW8tN%@89K13DHpNw|#Xaj8oCk~;mvyXWxUebZupFEG?DbTSbA26)) z=&bLRzt%lT!qv{bk@zG`bmjHGtNyiR6qBC<$qjT91gAo|@y@Ffy~EuJ&e zrNp}ypf^cN&;H!jy%ZRkc8`B8k-m7-Ce>F;G5VOLfYjm~`@R^cgTXeBFq~}m4(%g9 z4-8m7Kc&@4X2C8QLQU)Q{oDEqZI%0=*vxZXxG~!Ld%;>l2`?tjE2IOe4#Zy&Pb63ADPwEiV}sc zJ1Wp1I~P4d0B-YL@H3UmqYHUO>gECj?yD{pt%XE#NS;$kQi#YWx0jbemlm;bgn|#^ zt3FI#V%IZLB=obxvd_1CFL!3c#+dS+oOmgXWs$6cfW5=sw~cmjKB5yVgEMJ{YNA%s?F!W%-P-hl58LDg9aGe!)ro>7|*ix ztsFANxJxtd>B&v&mG#&);qL2czeU=;I740JLr@O_X^v?h%g2$(6HO`yvX2|BuLl#^ zJQz~H5)avanHC^?qtl4V|4&zaVsQG6brlnvupdzej{aTF-@l5Lf#KDHviK-y9!CP% zKIUc4l+)hUC#C%AGdJy zSp8!<0~9=lm3bMT)xjQ4w11EZkJBZYO}Wd(X%S1+V64Vs(Ki@eZ4N}REk25^v_kH7 z%%Vtp3H{A&UY-jC{S(uS=+#KISI%o8R~7Ju37aI#1JfEnG)?G{W*0xQ57JVm{mpjK#Q$K z6y6{;AOG!{pLHiFU&uGC9e-vdApv6Rdj6x)S8-{f5s2Ehm>TyU2GPp%jpr4A>Vtj` z;NuE+kswTJD<^t@CddHA)VxS+5!0B1OQ>8*XAu(-$$)l6hX!V++6m715%a-oQVetNt zB@A|5^>lLj>Uc@xJNPl)n}y4YXo68{Cb+W^&7pzJwSkuap|@m8d!mZt z*RKHn!LruB=(Y4OQTn*933pQmyI>NT^LK#*V0$J^DnoT`w2y z7-})Uya^&%26`=-3xzpBnjS=GXHFNklDH;xGj!)Ct7*P)*PU7Vn%KhYBg3L_$*?Lnl@}~W@hwdcWUuWd zQ|}105P*f*A{JwNeH2$5(~)BGoCH*aF!hpBR=qMK%eJ^)te%|jP8M!kZnpyrJ0!ZP zYVOprQ|(Ue*i)AXb~?bqBqZ;>H&I)i+PEQFDicn9aS z3*cliT;1}FbS;jTZN8NOt{aeH;rQKgpSIcj^jA}*Y^@owf*L3roUU}1;1%wIJiDQ5 zHa39X_v=;<-Cv8XfaE@q*BRon2i}sfzXoT0{oSYjISfWU=yQQ~-KAQi+b@ak@`JS* zf!0>vGF(21)p|}zRyz39o$`r;n!LfA*B&${4%{5CdCTE_rE7b2gK-V)_CnZ~A#@7b_&z`3SQAu)L6V#k7to3b8abpV&Z^+cs3;UOhIP#4n1TvVm{e^e5Dt zI;V%337YM|#zP1?7dxWg79^IC+U2WiyhS#HK$t6BEgerNET?gM{q@CF{V%4QMLArz zjQ4b#F6dyVb!}(aWG@%SeKSXFvh0G_wO^Ubj~n+#Anx*Ei_^iKO|CL6IO~}Wa_koW z{@}=qVC3wz{0})&dxJmG3Vk_}nb~6_@O`MEz2|`C_jRm%w$W| zuEa>WXD{9YA?Dmpp2<|7n2mJ2+LhrBo&qpGQ6^-K$E|wRD^M5ui8ES+Q#u9j0 z&Ga=YP(pbfAEsGCqmM+=YjHpN{*%EU82vWd#ylAD*Ufdx7=paec0;qBk&d4(If$iA6jZeNIMksk0Xoi!@;@#7t%*&o?z}t~;pgC>F=H@8bbNaEQLgG| z@i=CPEOJc2_;>VJFJ>@e*~G4EP`5Hter@@-3`deYPq^+%P2tT)ir4%?a|Y7C{2%lS zNH{!CfWWAH?$(cYnQtr=@%FO8@4S9`M=PCX#osVfNccT$^jpzZPET(Pnw)=7jqocp z9!!xA2^&y@#5BCYevy6u-!j*k8kEiNYY+2NIlf-Wa%3d)NBj%eXsShX@}sR}-CEu@ z-_2;BRH9}QDuxnOo6?SGUZ3~eD;HQ;+)5R#@w(y~^zm;dn)hhzuQUYL4{K1}V~e&i zrmoWoSS!-mOSFdtsvI}#UO6jeEvrJdKFGdHxH`%*j_DsE*~m1ngVRzi?jmWJ_Ym5u z5IpV1B?+iG`N}07VC^xQpOZ<(c=TWuf?hgZ$&(DaT>(hl4tRY@^~K;P`HpAi4q#q% z%Gf^g`4jAX;GoXr9`IN@5}t72FD{?-OGo(0Jw3Gbe~dKoFlp87f@8m1lcV(kfmHP= z*br*-*{29{ZQa-Q+jGW!sp^dnt6H-LSvK^0mc8XXhk4#R%R>zX;B3kA1H{4U+f6I# zIL$Lol}{6Kebx`G$9hI!7>*7b_|(p%zr*FoT1T#$mHImG9fPTL;*@IKL$`ES!_@p& zun^q+m?&?yRnO*j^SrtudGs}#Xlv+&+m3P~GAxl|&Jo4SV@J;|eK&Ah#kZGJ@a%6y z=3(X5>B)~wg)TybD+iA#3`gDwa8fv?i+Y@*$DZ32Lvbex0!>0pcb_uxHt|74Ev0Svg>g57!)Ya<|~;q-C3w7uhSQKyl7Fmr|Y^?8PI zOIN4#C(BS|GpUGJt^3!HZ4b$A2q{?GZO>yb$+}1!`ZO8jjW|^nurk0{T%t1kM6PF{ zrX9Riy9x_1LCQ9T!9-?TIN3qrR&~5h7Qd5OXn7{rXQFeg+p=B+${h)8Sg3^{1YC05 z+N7YrudRbky?TiUCl2efHhfsYIZQ~>`d4H^x)NcF_u@cbSFB$bu6}qwObNXDM}Eg= z&e7=_cg*w~9K*Kuc^JI&Y$-++j6IpbQK1q8|MdAH$@hgLaM&+YVdkuTRJhNdU9PJO!iLkT8=(hS4c zjnKZh(Q*~5toB)cq4HP{%=(-Q@Xng#9jP+^Z+$dZ>IaiWkYWoLA!9|qW)xWRrwx`G z?;<7NK3Z!9ul>9k$J>1u+;awA_i%>&7))zf(GYrM_9U+6zHDD#_!%qy)9vFl)+g`h zENOWx9)_AbQ);ylujtzq;`|l;l8*~o9^Z}3?xgzmcP%P^%~37$mfJ^<*ov(v=Iy+3 zhphMKM6I48g-Cm1GyC+QA6;LAx6&G3&CpfbzsMINtE-o%oBR>QOL`heAD9>6dZ4U{#RpWLFU&#kOXcULS1A)hz_?#D%?GAV=Z}rQry8(VPq0cx}ZA-1- z`C`JzSc=N@hj*|^5MugZ+gy~WDO~>B)L>hXUn6pzcvjWSJRVLZ&gGJtkojL>*7Q`p zTqlOqA&6CqG<2q<7>IDSFz1|`8|DK{bj?5QA563Nqw(a~aS#&2XC;j^AJ->a91#UO zFMd$2phArYAJatgi$3C>>BIaFu5~)@9DdF0_tWombWfz| zKO$Y}Ie&m`eJ$S54(!GHeb%8HrQQ-vU=^F^=~wF++_w3bk7c)2b-$JI9pqc>7No8H zrUSG4H3i>hh00sgF8iasSXZKhKf+3*bOccr3>u@!iv*{BAT(oE?N*TF16}2gqpM}vrggttU zOUeD0KFreaP(k%<`SiWzch+7eVW`)I#LMfQvU~_ksV>uQ!30&tz zITlDVE!Z3$T-AoUL>WQl1lLHXAz|`+xWIShzEHIer^&(tgl)s`4{q4HSE(BN8?}=p z1^G!gbpz*`3Dz?2`c#iEFtz20m=|UhEch6EeaFB-*+ zuAC4ANb z84OBNdc^4#6)6-1bYWN&u?D>reCunAX4r>cZlSBtK|AYQU6pdEPLa#g%e|2N?Z=`z z&Qu#dn;D{GCuuOgrs=KkK9I@~v(DU|WX^gg=GB3QERC(e7|4pqx(o#C(HNDkzU=ea zZ#LP^wqB(Dl6FQ=_VDG7Ojy*CWbon7FO9y|3B*BTBn504of~!|(UQ@t0e7l0$R1Cj zs6g!dxck%{B2yj(35;F3H)<0_Hn{C#sogZ)ST3J7?JP6dGnpE1(L9U~MfO&#rCz<^ zLA9A$qHEGXPmfq`+guzwvb1EhL<)mdICP{LwrV=+`7k%vskp$WA`P6by@x&L7Y z5TEDw);mqQ-P>%K&L%!{QRh94`dqSLH;d&}9W{_{02zF);6^f;*BWVxT-?-Q8!Yu6 zlYRYL5$@K1zFikb*&j-)mTVOpz}@Kq39^*8DDKZV+r|kCie~|P3d$ODcBlkd1#EK6ugF}%Ug)GBw zY-bJwt}F~@yxG3DAf3J*aYH13{^3$y>lw!SiExee9(9V*4pOZ<{b%204)|89+l2gJ zis3LHHAVn-{AEXR2ly1b2|n9Kzy5Xu=^{2O4$+)ei3D#dr=M$2=17k{j9FJ zaFh%%_|2!>cBxdB4D3TzkAYYYq!D`sU5J8JHa*w_YMSPEuRjt11-D+l*zH0G%#36v zqzk7a)mcH)S1+3H@&JPNCW|)1WnoV-V9*{ri$mWMCmBet$@0;gDq*pU_bO{qybX`J9 z0<=CocRJz?Zk_I%4>-$M9@(e4%toAc8OO{4aGT@77hj+!ex)fLs$~c_CEZ7c|4Zn& zX*t-KAI}YhXo0Py(4BO_VPS5QmvjbAG|p1k7-FBcMA6NUl!?d_@R^zua>(O z1K}@PFFcC}B$^U3m;-*i01w&Mirp2Z-Dm;2A*Bk8+5(aj%H53;vBdFA-xQS1As8+M zVy<2pJ4<~ublItdyj9BPaXv~l7sPm1AmSnIU3T@3--`A>cL6JNsOM1JB=1!fVqmJH zWV^H70?~(fBb3SV1AoiZ=lnqB#5LFolHi+6ywQGc7(X_a%IC8hWFn;r30hb1w#a$k zeB37KZEDxI*bN*_Se<-I#oS&?n?q_zZ7=fnE`AF5yF*mf@;9D`nEWAjFd>8ly5{jM zoH%O^G?ayPN%@N0j8)Zv&Yy7u{auwo!0*BK<%_)!{7?x0pNhjJo&Lw$z@@?pG5Jnw zF-Q@)rD;<3`@c&-o32G#unBD9H_iEWjh$~_^2t`o+Bd-FCUkOXhblyy&1QtEJiL!J z)EuV`R!tkI`K7VzR-w3v1Kc38`j=tx@E9{*HcU!1Za5)@OlNu5p^^ZiZ>_PHEe@Np;$Da#Hh? z_RGV{qK$f!M+*ww>c^qY*P5$BKmTR_P*kI7J(==}+1|+iTQ1kP$6WZ67q}`cu&Ba^ z88}OpiKX0*vx94U;)7;xgR<+{M-_S%YCA|Ck!8=@(}GC5***#|{D=xE)A(2L<(HvG zm-DlCZ-_*Q^D7SxMcj;>7lMfb{oHM6`Z_Fku*>>4iZAN^xaaM9p#L#mY(Qn>q`;(Tv5{<6r*Q- z>wr%==WDPCOqkxHzKDUK3ThaodTbVAIrdAzKY&dxRwPy-C+aIgdoyaYFda;9Q5Fst zs4;rUT=5VMcYK}P*I!>DewiPP2&r(p(W31gNp42?;LS$p_%O`)k|$2Z6Dehz@xB{; zpm)s%+DK7YNy^86K~oxc3!{|N7Owfhx%3xZjDg7l9XQ5uOyDp+)%rK z$=MXW2iU04ObPVEgnd@BLr# zVm-D!l5cz}Sqi7_e_mUwcl4Ulr530Tehvo5(({w2i^x-L$Oyon#K#()bKK(AQ**Zc zOmNO~Li_VPNWtXP`o$u8m{Zat3rz!etsbX^d$EBEG#>A;5!S230|T!#%~kw25f9G| zk5UN}YLQnIlnFo2m=7+>p*Hbx@xTIghEL8z9m~ z={ej0q!FM-d^Whfh3Ac!RLuSBZSQ8RF(PMwj;f3pefa&DMc;5WWuSu2>}(=QP|(PJ z>td^e&job(zCz~um(&2Wb(0=AnSAOmXJhjnQ1*)?YhQ4-P#!u>!Q86PaJg1;Vx9P~ zG2kpHlKKl_^BDT~7H0M3Z%HhE|8UlK=DzH1VW1x?1vG4cE zH{F`V4#?PX4u?L08| zr2K0PmwW0liqG)9?lA8I=FGmJ97_*sZc!IO`e(GWxd;36)7pkgZqw5jYOBOpY&|(Y zDpNU_EIa=ikFEs65+vt0+q3*;Am{k}y^*&)xPv+JS@xS%T*1p!$JoA>96BuKx59dY zFPheL(lwp@`7Wxd+B0~${3DQeYN8e|=F;eFlawIgD4{V}#Fl1F$N)teH>wy-wlZ67F+fw9~K zi9<4imTiQj09%8I?Sgz(GVknoh*;iIBVZWjCKhL}O2Lhf8dnZP=7Wkvpj8>M^ExS9 zq8E<0B#2yIWIkt)thai=yVgqV{irOM!J@C_t;$K@^E{WOpDvJRJ~8c`U6I{zP``6* zA8U7YdFxy9U-k9l;_?r;vhATOKmI;;EIb~DLYUGL%WjHf{N*xND7Gu0PcW{1ab+O$1uVG_p^Gf|c;_!~i@}JL#WyszbtuRe zh-u>i``C-?43a(!bn~a&qyXJQ0PZK2edwrBe#%E~x5H?Vp@xC=Ka16!MSzw-(d$g2 zOIu7SVw(B^vJtJgVTy>3E>ygZRkJ1qT&m&Q`e(YA zKb@FSWSn{}PPoLv7xp@!;#iB(8~!0Wb)u3hZpHZu<}}7caYq9(P3H5zqr}7_(w)hk z%in_vTE%^#huulf=YQTAOQg_NEzSqvJs1rM}MXdm2R7n?n7 zM0lu}^WcI&`3^1nl|{aHmDK3PL*qt3s|nSwWYp!j&-l)MC*->-Z-Kxc+bAIicQ4s; z<5DSIa^Ox)^V1FD+o^MJPUV+Bum;F&4VvQc zev==tpH_P9wXBn>w>km~9BnXRVH)47w0{qw?n3=YwQwDLiR2A)=6=&Er!<}F^9dS zS{8k#x@CKcSsKI1NcugIj^j}>_yFkHpY5kEqtQQ#H+k%DKIzy982Kn`L2~$!?&viu z|NalD+RR+;FoZ;`xXXav)6>74vMxhPBYW|bCw0`}D}(xXGS`GKDI7i43QHKGjy z3@Cm#p7g}IT9Je`@p@CR_dL)O=y#!&L+PH^p25pvBjOgVI@fde)05eQa7mH$jjl?7 zCa|`!!&LLQVA-Cszq26(_|fVNHx(uFpWB~A znV*x$tLOQFZO7)Ii4HA%1hDJ*b!lTevo=Q@RovIvXIrKR!aQ}yESJ7e)cw?_s<9^u z4zhk;xysb7@@67LfxF8m-Lw<=vrbl*GUrzwWAQEI$oC>PfZ1id*KC4sD3#XAPr=4Tc(>Tk1m$ zrunef=R&3#Spq^y6^eOl2jM-Up)v(p7gY5HS5T!C%v8!i$2MPrQHD!PDgR%Y_7+s@ zF6w}ypU_P*qDec;JDroSrRF21-L6h&({uQsls0T0NkU?_CO%HTCeH*XKkQH54yLVjot6s9p3|@_=dc4+XcLL^U~t&o9SWol_Q$x zPAhU}=?7YGg>Gfk_Z$`r_8FI9F0h@8|PVP0Jdd!SqYA5^dg=d|HLUTpL zzI@2gA?YiAetUW6>dwmTYEgm)bhQ?g;1LHoIol8DaG${SKS6# zfXI@g(p|F)rqg@kAgvvSw+^H#bcZS$oY@9VwkOm8w`Jt$`ACv0Avr(u@P@QMlS=x( zuRl$7^07io978ae%qs zh~AN{7Kv7on|i>bSAh(gk7?Ky$@&+_rH;9>!O6wl z9LlpA2gX1n?C^omADPw3{#VCz3-owVrze3@?rU}s$DeLhDarnC{`V)j-2cTClA*LE z^L^~pCutI+Kn6vy7n8+*$k`99@eOUFk{-QN`d`2Ka?r(hhh zzOh9qqCg&N>fd~EB@>tay16`dq;}#yinbmd?K~#G>CEzEp;cv3=9;Z*JK-Ry-Y5zhiBI)yp_~kx9T=e4L)*)jVR)a z1w*@ZiDv~2hkz>;AZMBeV1R^RqZ=kK*T?ncQ7Cx%(_nWJc<$(kI4|^w_7K`<=+L%J z46j9v!s0~%bbuKfEIOf1*<)6mM^=cTzk@{GYoRjgzhL~uFTJ?u zvVv|w%Aa!>gKvSNr&_wA#CSf-j7?@+be$s3i<ti!6DtD-+ukyUMkj)tP^X;OtZ9+OQ^qH`SeYg`4duHKc16Ra%3YSR6<|MBhAkMEUr29XyS<~{{pRv_^s*f26)hNlkWs?8SZ`9tVqMd#IT zI|FohJ1CKW!Pwg^In#EvhvWSq&b5qx9I=g~{J2q7#{@#0R$;Cofe zt%NhTCQ0*%E^xDM4VIR9;4q2}Q-TU{zdD*+HJtx$M!;uQ!Oi_OkMT}!iHs?SxgcbM zLXe&PY%ZswW&r%SpwYI4NB5P>qA`mUdnlp)h2XTdCnv}vXY5=+l*oljOHi$)pHmTa zHMILht*p;?M#t@rNxRml_B99_fF%Yccm@&{Lds~|1W*~C(1f2nplTO##3CfAmNqw(k3 zD>j{Rr>fAj#k7vSYoyL3cZiExZrp9RVqjbmn@eYZrU6|SffC{(x;|gDfK4;8vH{=h zbOR4vC%MS~qV*+9-exu(%);`gfH1V1W;H^DjIx|=uqV>=U*}j)K)@1l5nv#eE9nRW z0qwlNwI`sW?G#vOnbOZOe2gL3t(QceVqpI(4k8xRXawEA5TZ!N*UiBf@{>6MJxf{=+ieR@j z7L0VI|7}UM+vHKLm1zGFJZd=h{@7~~SM~0PywaFHlhPZjKR-JB@Z%xo^A|l=3ejoqp3%w|R7tNi@)4#@t-k z63c{8>>_VXK2{Klq7|m)h!qO!y}f)7-EyyqYmSQUD0v=AzhXE0hWW$Kz?@g2zfC)+ zN)?BRVrjiGV&jqTRF5i7EK4(hufF|=T@ZVB*GJ|F9%)|gG3%K(E8`ECYE2>_p_TCX z^eZ{f(ll&Qixju19$fa@ia9!p0<+4&mL*V?=d<>2Yq~h6n6@BNGT;clL!YHl<#3lX`z-VF@_!j1 zp^+g%XsBK3@#WB_Qs~#VwSY^UQxtzXR|$JC|GK~W!C)x2@XFY23zU6G9Rm088}`dl z-i>~HknpltgwGjExgtm%DYjh2q_&sX0Z7f20coYcDb;*$kI{k@q?xRv%h4(sBt<5*KpuF@gTqX0$@*XGs3 zC91686eE2x2))@x{z2|5W@S(IcR&@Q=f*<#QGd{XI9lD$a-E)Wd;>M@CckJUi*~;B z9bRdcf0weS<_1vThbBM74p*xeFz<^QV(AyD%UQ9oI?B9rM;`~x9}pQ*nR)X9M) zO~B_xO9S1~s5reKO1Zzyz?dttH`~bszM3oV=LzeXjOuDS5@G)Y?;Tr>pLbGw$>D>T z@DK26@&jR<>mmcPg@te0y^G&`zP{;rXaxS#NXbE)=5=huYS@)Da~TkPB+Uj3O?J;#DW^U*pW#R!mT~3<}asZoR6fS^zg)?>6T)5!& zmlin?|DBJ{F1@RFsbtH>JMq&_9Yo$%H067^ZeL*cX190oOtky0(G==UhUja-;4{wO zPNCQ8nClwS72g?IyNiza0NO%gR&?fO3tL6EjEY1{S5D90S?XD^J0N;PlTY*Y$ila~!5G6Idi^e;Yo!1y_iL_pggu(O z$QL$j+pBOo4``hTaq4W{MF$XK?Bfg_V#im9qI93BtK^(>)Mb?&xL)rQkt|7ShQ4E| zNssEKhgBC%G(1!0W~Q9%vFS89PxLAazjPkOp5A zvn2{}k0O2qxB<99tpoEnLD#`7iN4HdOy>S=t@4hEaAU^>(T``AH=xU_oK1<|et(lQMgqET{R zQjN{g;xM%KR9X>Jah!0+tUNLLWedbBmZsA%Rq`jiPDYl$3bD5pQh0%fE z(Y(cqL@WMd_x@uTL()k(C3Y=fzZ}UY?0P#ioje#?`{KeUfJuBdEg#3j9Q3bSnsR*S99<#FgE(36rl?SqM zYQMtiZW#-bcr))c@Z&X z_KRqA0hdsVCI0gX^JzYvol$$^*-OtSmqmD|@y#Pb(w#?m?O2ZumVS=SMPi?q>Dh_n>GQkk-{ zp<-7<{-Kb6`0e-bQf*P}->}V-urfO)^S^@U^KNr#mls=$cp{hGKTQDVrV%pjW0-|D zm}u4Q_7au{ZAdtj50k2aA~$eCzLuJZ-ichS*cRcYp z{!D76^O@YEU(z7yz_=y9dY#9?dU668?{aRJu_hH|6#}$vdkUvXl6_~?-u`aEy!5(L zX?_#wItGWkkFK>AwukP9@IHWx-gOq2r+E#^mET%b7w7x`l9i#T1PjzRkGIfkG*C8r2Dm;Iftvxn=f%iAYU*KgAlc+o~KO(ItSHo90C3>Wu)t*n@=>s}OE?cq&OY~+vNs6y; zb1_&)DdFthQmihCnV}gmy8@ZF_OW^D-<4c(1N4`uBVm?UN!qI0RgIXN z9V7)t1+ls0)taZsMK#upJV>nDmOG47v9yKr29Vw2Wv_UFS*vL&v1h;9|HxK(vQdQ5 zSUFIIJlwJ~G;zQa1zd;krf?J$!>4Z~cgNfUslr}u4d!vQ-0nhcj2N3IC1*zbIV6%X zzM4#!mXn3fA7ib{n~%r0f1Oy|#%m{~=dIx+s6*c+7*Xg;uvnO?t!<#l-OW#Pm4h)T;ph355*4oSoYhR{8QYyR`avsp5f`6JT= zoP1qCLTP30)!(MzNAf%v^phjt?1Y(fH}P%XTyK=^7heA$NwyyzG0es$K_b*zrxn@a zvdDy)P0NBJ9b|c_zaACO1)7_rdc`O>{Abz12JDsX524M|7D>HT$f*Zm_f-Ctx%Zi% z1tsmxSW+YB7FUz|i{s=o!mk#%8ogPWu2La1*B9xPIt8CP7l>1w+Nmy?JfJO>$?;W` zzM(-)Ho0hdT{ur^0s4+~&_#z|52xpzuZ^ihH?y6twW+a_<4u|l$)RWGCkh3#fvZn3 zz4*m*l*q~JQrQ#izNa>~&`=k7?2bnGx=6a@99f2DN#IE{wq}x^bEs@uf~XXg8{fE- zbDN}#V{f#X_pIAq5Y_xpw})5Ge%^VSR;3%{sP%(4AqVp4AxY+;<@8tr%?|OXr#sv_ z$l;P%YC_Uh>Et$v9;$7B@nl*FQ?2Y@#Nif2h2KizxNXX*NOHr@m;faql9qD z8&3C-0c#ring24bbtL5lpYeDI)J{cRv$I=$rUY#r6fC<2no{(8$OY(#A!|(EnyjDK z9o4L^*HgSGb(H^|5+VwAhY` z%<#?^HYzKNxIuEWQasE2s3lZxC?t(Zf!(&98|isdjGxzWg)|q+9<{Sy*Si97(?28J zjJhbYi));G?_R5WDgAVZzT|v6ay_n*qaz?NUUFO0uUWc7m?BlrdiJ$RkMKAD$2~(| z>)V9-qMxEkR((me>u!#!W1L4WbBMe|b~fFhVKsg};^^GSjtrT_ivCa$_CnakH~DVeJzC(H0TTwtgeynczd&YOAA^qV z&ZHf?odO_Cih|dbp??!9NG_}F*-t4gRKjOk9<&1Q(djEDmS0jwjtexb_g5byz(ZQy0M1fmjdG0W+RR)ay z_8U3|&vyD0xzRr;{*^ongP<%zIB#|JpiGknOyq+Vmq6)zg$gO1{43nDtEQx^S|Q>84rHu;c(Av-iA;{k;KG+ z`9B<;HE`OW`St4FBDbr6Ddye2`k*h*lI+l||6nJBW*nmf!6+!MNw+$C`>B%mk3?+AO$=&7moIS1FQR4jnPMj) zO0N%H;5E`Fjj>j+RB1TO(W<_NbZvqWpVxzxLz9ki_jrgi~PYX2}n=k8Q!tMsuh)&t6gIzOR zA6@Q&AHNF|V+GR-`V&1R35~GKRQ@k2;QXI=O%Cuz=l)lsBtaH5EpndFcXT9gY5F;F z?ZJogA>H$;v8*F_QG<{^8*N(Gxc}QO$uCp-mxO~vqWM)|u zkBFLaI^Wg}DW0WzxPwr}D0l^*iRYlH)|E*HhsFVzbwFL&S7frKiRB$xV=~vYX>ouI zwW`v|&&rJa$79lxNa=5Wf*2DVrVy%o&3Pgp;$buOHxU{Vyg730S{fid?(?Mk?yFdLhOW)Y?D)`Np@lVc&Tt#me&tKcE;7;8?+|IlD6oOL! zz(k}@cS%{USs9-Kt&(hUXc;6t)V#$xq7UPJ)oQk|ODnR!vQLhR^=HWhn zUX}+${rwADdK1LVkH7S(p3M5zuO}Jg1@_{gmd;db@R2wSR{*7UcU-^x0U?WgH%0FC zoa1ymgYmk~NI+Cj;U4UO?n`ZVnR|mg;i#lIXm*0ko7&LPm(V?aJ}pwd)5V0@(s`giAus%l{vJrBEl?ZN?3ut6%N#69 zE(KrIK%0*NXDc#>KCC2Sgu~D~z%U|Rp?)8^eHeQ2{z_3uu6S@YAWVW)*^NTHQ|1!} zMPgVJ$nsE#EW2E8`9|vdr0~BLbP9mwq7;sv9OP7V+Ucn6;H)x<0s=pkpbHdw>5013 zXG5u#;24N7l7Wxrh%~wDv%+yt{;TepY|PErqo)DC3kIXaW!gu*08iw|6_9E>n6MAye1bx9Gp|xg}Tp zI>TNhGKYFf7jk00WqV15-0c#kw@E=@Q~BmI@r{4aMQ(y}DN9YpLfRA{K9wzD&mb+6 zjm$_Y=-1BHY-+pEZm_ws|AgMcAI_`nD7!~^ea!$?jUyIaPxYpy>>#gAv5R|ISDglX ztR~uLW`UH+Gc(Q0aY8GG8N-KE{{KR>E{SC(=pW+;cOE{tN*iT{-@MOHYpa<6TY|fz za&Kjz23gEMe=>`u%TVL?n#{_x&}9EC9p>?WG@W-ioB#XvDK%=g>SIS+YF6zXLDi}f zrK)CXQ$=kew%U8PR;XFCHEPG+BSuSW6MIKuh44$i&++`{IQ$`p`_6s8uk$+3^R>mK z^IO#6G*ABbCQo`;++Cpa{Lg=L(~7GN?7#0gWulWGZ=Pgt+D%M`S9ZI77q#iS@OkWy zUB((I=}QS-jF$+lJ0;7eb%2s;r{aosC!&TpPm7Nv+t%y?N6amogY9J-Sw5apn%L95 z^wZ&F>XJC!36r|$xz?D=egq#nnjcg*jE}ivd>ytDJDJVo`&(gbGE@YxLXK<*xhjaY z&^l3-*nd}%6012La|Oo@CCh0y>Llsd7S3`7Yn(h8uih%> zc*8?!HF-ZyJ-4~0Sc6iG7sLe+j2#|5csL@wwM!AzWRP< zMa=*qzv__JMx$0n>5BSaV{0Hs^-Q2&&+aY4Jd+&)cAhpMbSpq&$Nj6z7}~#}tm?jx z9f?PbFfLcn5MOX8V##lrsAMt>c0n23OX+j#EvtUHtf~WMOm>aADd|b}X$b&#)csj?abq!rA9z7!7Ej0mDVDv%=<+kF}ki^(*m&G_)P@!MSE0tGc1= zQ%V=lPR`HrtXJ7m?}>~y@=5V-gnST$njX-nUO5@c*xJq2#WD7fbN{1x4Ca5 zMuY(RneMWkkt12RnrIHnZ~)}oS4xge?-Ah?kC`h%`O}or%;SJ?1RIk_eKuEQ>-Y>d zm*-VPs>rEzHL`J?qoTLwM_$X}sfnx2QN*;X?X6(h&fY&%z7E>-W}%esp=`wAv^!rO zE%K{?0m<2u7Zzd}yBLkkKPdk&$$_i&-JgEw?i(2;RGC z>TuFnFFy2h&8QOg$B5Li0l^E=Af?|%bSgG&Cz;Z=_iX?jM+*o`1;A^brUnc&=Z$t+_Ga)1oM>S zZS%agbr<1uyP7OahQl|G*qD}B_Q8``I@1TpNM>ef^ipO0$z0Kp$MAXs?O#zp(}<*d z=JAb|3iUg_V#D$Gg+;G+?krsodj2K1S+;J#NWtQ0__NqzZ`~eVzApOgw`34*Bi6Hh zhx6uaxVAdS*D3dLS_#CzCLnMC2Td!F&zv~bQus)xHU$YK){m(W1^Qw7pAH2)q=Vo$M(jy98T@AocK>?1B$p&ukKoLWQ#@c#1qL@Wz2oU^`D;{ zZDKtM<6azht*k)o!7+Kc2<~2`k9isB1N(R6^j|`;LBGa@Ku8I7Z1}DPp=ZMXa>*>2 z0M8qJ*j*aUA^2}= zA$VWt@>FMZ8=?@M&>-6u7R*l*Y{Y~tA&`KIhNhq!0vkDo_6uF^xuNSRv@c$`zzYk` zwiMl`y)xn8@p*GI7E^V`u{jdHscrY0w}9{RpuKOWc9~12#DSJJ&JkWQ2iqI~C1i%( zY*ED+r1 zfEQl0+a^v8s0p8BY93*3Ab#)RrW0r{c&>ga7TuEvC*pKYf5jbsSPyeA|dlp*bREpw0OVyTcF!t7oHnm1(vb$v$T$UkU#59z++r+%J2T{R}~gQ``wnOd|BJ2Leyre z%$#AzGNo0eoH+43|FzS;`RI%aoi5n{4T}#pxadwFn_;L3|2|#f!>9 zZF>>UOBZp%onEpAC$~Ufknz$WeLnvfJH7@x7&UWfesUmj{9;+a)DKc7CdKiR&&XBq zWJ{Qq-p>0g6)3KAVCI=X3>l$`5GIgy?&k|EZ-Dv$4e+aQZlrG0kfF$$%EsK}^T=qyR# zt4|#lPdb=RA06>8w!c>i2`k$_4wkA|9-(Zzoq#nxjJ_spiU`}L1~hS^YZ?@ukRW9W zbtS(W*ZBrU+GGCmrU^)YPZmShtxVtNXudR`cd_9WOV!u>y7LlykDP5!D5bMx%PRM4 z>(=w?rqgVHE;8>CribAA7XFTLeXPMT%JjZLRDcQ{bm;u{9c8YKukhbcyPgIQvgE#p zn~wkyU)AckBc2sI-jg+Q8T}`7_R8r^sPC@ON1Doadu6|ES#pTB$9VSOx*9P+Y5qDuGcX(0nT53E7XDxM z={u`j*SW-ZB*~Wdy8j_w^3cyYP^HUnaG5H!?q|ol&K9eRP^T}(tFnCEjg!J`CN-bD zUr{q>b^QR(3Yz$42>mO@o*C#k6fpA#Mz!W*2h3_Aha!*i@6sm3r}L`sxZGj>=EV}Y zVz69v2yFPamDfmUHx--ny*%Ch_^pR5&xuh7MVvZ#HL9TYVw?3G^VN5_(_eJ)Hs^vB zU+i@oHfJ+TS*bpk_hu}omVCYqKV*X=axv$v_N%4kRV4rs)%TmY^zuzws z?+>G-`@FfX=3fom#c)3l%R+_-)<`KIqpLq|{ z_G?YffS*>LkP&)JTd64>bcqXu%{#JmELENFcF_6%KR?D)z)xzbrN`aRh6wiyvhAo+ z=nqNhaQ(Vt%pqa;9cyprE}*ej36y@`A-JZ)F%vNrA?&}&^jGnEGcB~an^=i?XM@fF z$bOtip)hU};C><*?z`+nyl~a%@#~5#_q@X3Z_ZB#=?^?~xlgLol(F0vbiPC|biSYW zf4%hkFZVS+JC+5bz3daN-x0|r9Ch&?e5ssmTM+k#WbwA&gzW7&4*LgVOw65*SOPyX z`4TxvkN1;o*{!MmOsowMv14px?JD0@kc+*#!LSjUe=g$6PhwL5xa1NDU=kBu=Jrut zkTkoe|K4Q7&m-1tDz)^x(d2ny*V{pom@D`~Y8%GIUBxD?-(8rlES3Z?a-=)RtaPJd z_b#aG)ok_tR4s%H!W@+A8t~F%gBVSUIyn7Em$z+W>2o;sx%b>{Ng?xOGj#IoP-|&Q zse*!DZ2tR2E~c|4dpaE2{BQb=_FnpYR_-P|>)lTM`&i?KeTkY* z_G8Q5U_!HdTg&ZhX?P2;TZMPAzCg3+XjPger8K{lGhLm77l9<|bEja4*{8GGH1M%}e4%uPtNn;!*ZI3U3%2`DG5RtqK8RkC>5~Nk zybAewHGliX^08-js0j8;sK=0%Qm`F_`jU{cTFzn>re!`EzPNQ-G=tfc!55fsID5=v zFY>aku`Fby_%b^&3VhhlV}4IB!h$P&<#el)80ynR{}P+I!%a7B=K&dpv=T*~7#F6w zv5i9XoP6VpGupJa`?LaN`XrtB=J%PW=e%1jAk7$|PEFa4MJ}v<3a1F?h^l9{etyEr zUzN+6-h05|X2pM%44ZYch7~ssA=IE%QHEUSonU|M6Ijhb{iK^n&i{Vjc&toq;^5!l z`oJx6cbO?l=KTBP({kBh*nAf#0MP074j%hNdMdZ8{L_V;P~qXa=Mj}5=a%JR4`7J% z7k$6+fV%OuZcZaYiN$=nX6p9wvqXz&sp;`gB6<_q836>3t=iEa?^6j@r?R+v$MX0V z1JqTQ*0i1C`AYL1Q~SGwKV~dW2X&~LJ%BePcfm&b)S#?HujhCt#JU7<{XOF`w`tvu z^r4!5>m-+GKNrJY2C~RE6tgID|4qfQ+M2zg@@YHB#q2EMEA(eGF<)Ukt@6YN?-)@r za5}4kkB$Gix%8I*d&7%=CzB}+zh8&C{T%J2n?1pD-GuHrK{HRuc-Cn7rM?ipqRlj2 z-H(w2X=$Py+c@R>J}-s>W2am<7}rZEHuoo$?{{JaAC+a+$s`b2ePZ2}Ke1 zwhtfdywW&M-s66~HjvHk`1oTX34h>)bfsTK=Rm1x1}1tqHm?0;IKw|dj!A%|?!Svz zFvYes5`PruPw!WWL)=p{~)lVNuJQ?YJLVBoUa6b5lHA$aOc9+~r0HWpAY}!iM z?5C4;-@8dlhCnL2omAO>Z~i0f=)N_At-Y=DuP@OF)U*s+ib&rsKu_-;V3(4-$NGoP ztAsu_Vv@bH3#=Osv+?I}g#e^ZwN;hFFOpI#eY`isvwu(a*qrd}2VM|bfLlfEk=#R70lHiZrZ<*NV7f`loRrxU}Pgw`Xhm*3${@Pn!sQqS(P5 zVwGx!+#fZ7HlmxIFYP0s>qEomFdIB;Cx;>_h)~^N=e^W`&wM9veeie2F7Q)?@FzW! znxpT32_-&aijxMdhwB21qAE+jv9G<0fSbAZa@`3m=8Au{bP#5~-S(%bMXNOnom?;XHRAaNFVRIm?@sFLi)$ADv$2eW5^i zSK#aIHop&vB3I9)n{Ubei(^fZJlE>mVZ{7?f+6@8(8}_>Aa{eG_@8pbE|dhrq$-PH zhsjOg1oSnp2t_u7|j@se>hzs^<&>!THi2L3{F0e}9|i>M5?ADZg6$%a!g0BUU= z88-u;U(RJnSI+nL48mP>^48>b4q?n|Z3|?+ak8^q|44p+pUQt&%naU5V-ZhxWVHMr zrYH|JP*TrTA4XDtifZym{y19SY1nWu6(F2s)2`2d(r2qa-pKRVxAf}!+0!k31 zO#$o)>b$6v>~OhTWXYVDd+WWy%tjObY~_YA2YIr~x54w}?oUfM;PvFX=F6A_ay_0v z>h}qWcMq=pr2X1@iLidgaKhRiMZ-a8V=Piuo{z*?#UL;e*Y-RC8-pTGx#aSaxN=v+{mkdTIrusDMUt zE9NG+{D$$3^MM;)Wn`ctlxBaFXa-)|Maqa@q?(b{S^NO)lRf;!6T}jEbd>sF+YA! zTyr~73lY4ZQ~yO=WHN~kR8HFYHk$v-g=!B^oWC9Ca1wm2Ww)Re@ngU&Vsr9ua|jQZ zH+IxRDaQ3VbLf;>C4wey>ShNM=j!cf>+{OuJ)Oj}#|Y-2-z$^pi2HEthYz4qqFdEz zf*x;iEw_+vKhBcE2F8e6qkAxS9Dx|4N?6p)Zo5Bf(eZNts`Y9e7UHhF@uDxOT3Z@m zsoNzo4|{?sLF@JLHnC>xF{}3ydHwH2Wbh88bL+z#tK!Id zj2eEbOIWVggC9MTy0?T()~H)a;ePtA`QZ8?$?s zEFoeW+ba5bIisGbH6_#ly4KwryF=izv}`$4aZW2)8(I88ic*vBp%S0o>-+T8Q03S6 zbqhlo(O(VQEDQKQ3N@Th#5|6Ue*4{Q{Z{mYuYc$ZZ&M`dux4p5jHX);n4lKL34_YBt2 zNaU8(ClnPshh4o(sI13{y!_UU9$R{;i2I2B1WX19IHk^J2`>ueNYM5dWer(uxtdOv zQy?kmsU(->4E+=kwP0W zi7-P_U|hrGa?lK-{Lrj6)Q@9qx4(oh4<|~yWlFp-Gun$%))AC1n|EV7aqj?^1TiZkQHJl ziHCL-n2BEByg6D6m|=^K(2cNWT8|T^cqB#;Mbj=Jdz$w-#}bDw+%^#EDx=E*n?5Lp zF2dUXzhzPCEKCeqRViiyKYlJlXn`K@J{iskCLiZj*eP870`YGibpCW>K$ZuT$m9k> z)RG`leSDKAZOV%*E~5k<(n(kn4|#1t7iT)W_9uYatT>9{28C1vhdVEXi#{Fh!l@h+ z%`zS>o;Dvg=LyQL8g&qm0WK6Ssa)c=Q9h~NjiP~miduk1(?ViCTt~_@9msD^DN8%7 z_d+rQVzT^j@>ptZg_JGhPwK1ufDdAZ+r{X9>yMGdgQZ99HdkSHUz;quufm{Srss7a zUz`+6-8@^w0LrbQq#z|DaPH^oh<^WB)=U~;i|qZqC1HGDZA^rj%&bqU*Z{4t8EmJ~ zdJo)5X39WTQj!R~seo zs0KL z9Yv0CK;K`&)m2cOf?OLD09;KCN0(nq;IafriJxK^(}a9+`mkgDM%)RJ05a9gtzX9N zenR>tpfW8GhnV}iw306Zs+?IqqZA{kDkMiiXg?#WCo= zP+&^e*%@qCmJs@Ck09PMVAW#44x<4|y8%^q0dQv+qHpOjhj6s%|!UMKWf{NM$F z4MULpAvQXJC(yl1_T0vNB{4imeGdN~4n|os7!~$%o-s5)l*Mo-7C~ZZ!-4>Re8vMx)1< z`@`om5kNRrW2{w)()ob*lQWWVf>NIC&y#B%?k>DV?#3)-MSWVtTo!8MsSTh$`rdy` z9aWlw3;MDG4vboPYO#JXi?#QagQFQ69|aes6XDra6i@MkeBX*6&~8bRzr+yr;uq^# zAfz5_>TbXv(iTq>{J&5<^O|qz6|=mRakmceG8xUYmaAay#kZ+=-c@cZzQi~0Bylp; zljHJ6LvgWA+423)bY+YiC7UW6SvTo$t!CEx_W9F!bV>&_FyoYCIy8Uo!)koBVWS*R zyXDf@Vz4+P`Ly~kiyRrmBC3QL1Zi|p6q*Tk+mcW=3#D=xGxUt|P+f>sJT=Jf{|+Lz zu5`9_?(}`fLMK>&m#9l(-e)*Hgcz7!T!i-8f&9KV+8Ms*Dx$tt{cZAd;2fju7)>Rd znBlz*r*~Hw=PfKuyKm2SJB_`QK&80z$UDR)sVZt5{CqruU~u~$YeC1@;^jR|+~fpu zHXwL|s-HgfJz{0a;LXun>QO#^1|JAgw68<_ms_G5f+=-n=T(SJmhO$1WK?ET zL4U((d~7Zt%cGJzw(lS9&$#ztpZQ(~H#*(0IIxe+{-qBwgLy*tYrbPuwVL9X&#uEV zLzl_-cm&g`T>HJB$%(BqXoLqo6Ug?#1L2~F_c|OnKNxE$kY<4Yh#Z^?+eGsAiEJ70 zYB*XqIX}9OQ_p&IKPuOIXNt)+KlLh`WJXy{btu+Vww$@y98xFvxvj zXc0%KOQVfw~^((IZS$L~@Im z;kTQcdAj2dDOX|?3ge93t<3vw`LVJee22WW3sw*`x0V_nbz*i=dalxLv&6Fb_8W=1 zdQT|G4hpIbQ6x7M=Ra_Z3HMMLmypQXugH5>l-r+Kg_@b z98idji z^X>khvImAR>%6}NQ?z6ek1czz;I@PP&*2!IB)V6q^jRSKx$?gpTEmo~z6cy^>%VY* z1q^E5)u9s#Jo7_!Xg&R73OkgBTPgp11`;Mn+PK^6Kj&LkzLZo6n)8q}h^zUqJ4%Ud z5qo?_xQbrBLT@V(^Dg4gD`^&@sn^LZ{???!wMSPB%3Gj*hB>dD6~aQ2)1 zHa#+9Dm--jOIJ+NjD|~fV1t>Hw^hYVu=2I@Av+gNM_pT1C!!%44}aO#k8^#iDAeCC)^JK zJ^(qRW>*=Ja&{FBgMMd#CjqN7Rc~naQTrB5xw@?{;rsgx%Lka_))TwKrC0M%`RY<{ z%THQVgFdA+*11Py&Z!-k#B?<3PW9uMH9rV&o^Zb7V& zaQ@yby9rR=^89Q*DY4e{a^hf+rH>#S?al z)9BR2H;G-36e+{RsRPUd8WAo&T@Jl7ap!eyyM7t5{fk^&HJ#%X)f8Ojz|maAjg%qI zCO1R$v^UDZ>vO0tl*pz45DuUJs9C*r({KGea555^fg;B8_!5nVs{cSWeketYg*hK)0uhEb0H?Og&m;q-5-l!iu zx!&RQV&w>0T13^(-|uL=NYDcJkuauGK#h16EJ%-qz;XpXze3ghio@IB0T{^~HMBo< z~umopSV1Vdc+LDQ?lgE)+Xr!Jm-g-0&jL2wRah(!=IWq964g0Lcw9 zT#Q%&XL^*3>2zjz_WhH`j86i^onUvzo!%<;87_xBeqiIq+0nWcad*0UGd#3;B1$NQ zp;_a7aUkXLUbM7NTQGz&x}N8ha-%(LMD~K+5=K#$$xLo@osUiT5q|dz9Dtg728drZ zNC~{!1ZDUwPLs>H+q)RcVcdMMi#`4?H0kIjPhG2~Qb5Ch3B`RRlVGWxA_&{B2}P0r z#e4u;mXvFQ{C-~;hHg4cPx1(c}cTVXyV>#Lgzb%o#F1^Kk zRyXyAK$}|LS2StmT)nv{S!>q{_~qEdmEZV~?D9*y$a$O{p;J(iSor{f zNZ<()?^=c8O_5fUB;C+@ib_|=`#4%qZbjxali;;C>5F^Bf)Rs}>0CX*#9n4?OMs|6 zZbCG7L=i;xTpdC8>?_pSi9T~GYrNwOnSZ-Ut7-0z`Qt3x)J8Z0O?BLLD_A;ybk9G^ z-zZsqG!W~Urubk3|7|-lbnCOXBK#-lEP>DEBC?v;6zx+883l#-nfz$HV>^7+Ixq^L zFCm+q{FI|iEjB6C{&*|Fx4nGU^U~_w)~hFfkEYfw@}*+2h$kq=*KI{Gf#z7`tp#(i zZ}{SJ47!P|?T&@%j__IjR-Egg!ZTI7!ZLj%#lnplm@tw)Q;E-Vd`0Rf+j-S-}S+@K?3mG zIT9>mKu4sx&-6CcoS#r9@#5W4w0HL_-}%{+s-^~?jMzBmRAp81Ws746i0gawxfXcO zAY*ur=$8+Jd7V>AtWbkwfgr4eP!P*WmS^y5yf@VPB^obQw#87@W&@9%cNVT{@`W(3 zes^`1d9^49CxliMUz< z)7uSias_4vKf7r&H%oAG$2%@JEV|ZGYoGOnXUqAcg4xYW!2)L&q_D+4N$LHxq@_xW zpp<_1xcrTo?b;d0>9`Pn?QeHEU%0rxr+*sgZ~QBi=ka)%0s-pEo%=T%#c|9=c<7;* zF_*hI6${ihtXgLB>pw&&iW((XyKeFvprZ#5D}bv9r%iyRm)W%J-i^L-%*IcatIjAK_smLx z&cn{A`e0pbba|s_YalhKm#Nu9(UvRn!{54goK1luF&r2~i*%PHk7?37i$R*YOscdZ zh;t`~nOy92{uu71iyoUR*moU;$p*W6t)d;fI&k;R&c3wFOF^M&vG>k)iC<;qiuCxk zP0O(HG?}usZZ4Aa!rO0tuGSi-h?=hCQ-vFRSd`Xy1-__BiRo9|>oNC4e>rThzD%_B zV-AWxAu78TPY4>Dw#?=NEk}8J52JUZIsLCsqsrQ^r~P|xuDgX_+dOemXFd!Oo){+0 zF#qG^@g6nW3VdM$?u2!y$WTKs2u1p(t&v_f%nXVXyvy451!GPo()X)j2d7au*MjJ8 z6T~FCJWY-HFMmtwvgiUJt=Ozt$kDP*IQ;y#<7*(Bp^fK~d>6?UxuTb$>*GZa%J<{z zaV2c8Eky4Y-+?@`f^Brzc4TcJ%>yc_6;rNJc}gXYu<&bngtKD_@1GrpBiqkqwWm8# zU#;y!u$;b&r>i4(7x#r{Vl)iR+wICuVM_7yM|Ja(c7KUduSBIaL8c5M#T`fS+GWCa>jS>4=Pevbl%2(QO>KqDuID+0 zf{=~I^s<%|oNAOde)X-6O~#8U&o)|5j)yecZ72>?yq{{%xu@~MKKvrtyvmz#BQ-{B z{W!)A^4t!X3c3S*M}GQ?{Kq&;?m}w4eznm>E2xGG+nXyiiaX#9Qtt{cYzHes<5lOtHUz(hfl*j$58NdGpb< zdH0JrR{61jjWcb!Aa1f#3>qJ5qadRKuEZwf39iA5*udlUX;3|c=A`ONQqFVM>NR6k zZiP1liiFjh$rPR^2|OQ$>=w62ap_EeOTGPaqw*ky9THiJ~4+c{V&n|TB{2PBh&Gzva`hr-OS9rPmdCo(jkAXebMi}X(m=GpFXh+~O(k z6AB^@TsVn{ZaI8GSBQ~oijci1H0Zs(S^0Eq4pAm^eg2#TtHiY%FkZSl;jv!7(_Bc$ zDse}}dYo!3p;YAlZDB_#4{dG2$o*_~P7pQ2_Bf)vS}6yMPSv$M1+viDBb)m5pDaYmW05Es>9ekKIHNgot7V=czAATuMH7@mB{T zutwUO4J3Mt%ej=e9QIo^$Kt_zqHh{yVi7RGidH@@lc|BPVPg`>wLOg=RwrJ5o2x-k zQ@^3bXVR6;FaMIJDijUbQSM{$HK^zBj?l!o2>#YH3}E$!4wtfHQ&-aF<) z2d{FZ9k*^QLo{MeK4HI=an}6TeiaCN<8>oPG2PDSv$o#B-9OL(iY2&klL)k7m#J7; zKgEDitv)|5>%5x$#^Z2>qv(r)CE zxnSM%9QudIBM}ipKrYwA^@PdWuwPu^ zxn4#O`l{N`f3h8yj_ta9QJaywvh7@_p9fUSvDtIKTbom#=^rF4rk6Z}L0UFZQUdRl zQ5))J%v_MI)fL~R$pPF+yT6&u^P#ueilZHwx}|fA=|}XJOXeTV51aW3dcjOFjpMVD zfohj!_v64yL+k0xCwWi= z(=gTIS;A3B#-oMcXqX^=PT;yc*ljEm6IHv87Q{1Qgj#mIBMKZF!FRHQJj@!`GEOtP5%LEUo) zh;L?AE}ONY*pNmbfzJ87d>p#1+RrHLW86TzRUWXuGtH_-@b?Ib*l=Ucgj-K=<6Qp# z2`gQVFHz-I)g!t?g~;+ygnvY#X<+K7iAIKBs?J>jO4Z{s);SyR z1pA~G@17h5B$0Ciq>KLoIJ-+tlbZU~hdqtAq)ZoO5*1ud1`R}8?=R|v8d5v`2Av7P z!Z~CPJ6dxN*9DP=3asyU`hD2eJ_Vh#ySx#0BrzZU>?b-Ng(&ifeY!R0t8hPbdVW_h z2brr<``*uN@;|4qa}-798C_F6``<2nG;ei-IZMAn)|OzpaEfev_4;<^zw(l?pJS{t*E< zv|8$ht?8SJFZ!gI_XkEP17y(2_ZD|8i})@!i7~{}b}UFkI%}W^(;ZbJjz)btj1Ff- zf^TY5_deTMBbthFL>^#Qp%^eeHKKS2EN%QvVMiJ?aPz?bN01G6l!WQ_F=;d}M|}}z zZsO{CoDcm>ga4-ZhhvmacRH3kNbhDWL%FEmx8Zzq#CF`Tb;fU)p=#$UKY|ji_i%!f z&jq+$!nRq|OC#6rdX2xN>+`QbyRP%V<6o-HOvx1y;nvu{D#c5`iT4D~H-ybkZ~-EXkk%9-r>uqXXz82+?6V-9I%kPVF< z6RM*dSx+2hY);e<`D$u}N3Dq_AcsAFs{@bia=WJ3+^kICs}DjyOVDOlmzxhyZ1>U7 zahMv+yKd&MHnXkKoJb8SC-_YoQD0VdyMo<^2Fs(V#vqS{^O$WrOl1#3qM_{1r1!aZ zn%CE1F+s6be0eF{Zzo^%rsUp|b7OAwvhJt>y(qeg)`l6=N*>%9_Sh`X6ZC?<{`SiP z=qNe489Yq+rCWP-Q2Fe>4aoe%dXAmn+s!?awBMbK)1sk<1yfTW?EcPJH^*0b z%jbaks8e#xYIe-Q=TmY;u!8+m7Fc zTtt;f!f^F2HdAq|W`KeHxos|2|3z92$*yijHR`yWWlBiIaC=9fG)6Cgv57~X{{gV3 zkGH#5fAtlm&BeL3kF1Wbt){!W3I(VK3*@HjgfkA`IQk`|0oV z0tg*5ts79#Cti;i3R_{ap}xQH;EB8QI)n-JQ&$aVlcJ|`U`=kl>{!%xEe?t2Xsz@i zGAm6_w_7*k_=B!ha^JglfMt{G0^7|%U6}M;qdVsV0DBZ~M^ukI#%sSVL+Kt@7q zhV!Wcm0bAvNBeyvVL;IhlGwwKri4L?K(*6Bc_gr#EHAVkxk`NBUnHuA*k;0K-Th}A zejfjBcgg}L$4XLz2nO4r)>ETyG(NFmx6wBz>e79dv#Q-s$nwlQPop*;qIUy!XDu_R z-{8VIFUIzJe~L?CM?szlO;3D~``X0m-#JT+m}h~)9kJ>gxMJInMjf>_tl;7^)B`~l zXc770=;&Txvh?)L)q2TkssGO>%tscVXC)!`mNpp{eTZlldpNUHq}o2%H|3Aepl3_X zstD|x-I)QljVY#g%Nw}MjL$@mzZ;tiw zRpGQE!p+<~3SItoKzede zi!i2*-(0uMe4`VGxMdhkp+iar=e$dZw-#4t>VB?WxZ`-^HdFMNgKtK>&FC-do+6fR zR^(&6hc4@O&wT7x<2i3H$q>dk_|<;=>eS2uZ8~#C>>+lr#u%jcd0^z|WuP)x-2WCk zs`JDLwuXIuQe%rkr+^g=+;Z~}2<*pqgWZdOgDDQQvWr!8N)y%kCN#%WY$26%UDV699${ZqAE!xLU zYwsQ@YQNXdVe~A4O`YxE!f+J5c3u=#AxkKmiSSCg>j;@?txc_4cQT@j7heo}S<>2* zaF8S%yEnlLHv&I7bRBn+fumJBi`Czl3v8M?%7(QDeg|QWN0(LRy#y+mN?75yt1{H} zPN`^tGIUlD^%2Uhl54uk(b1hIu+>d?KWzfic}sOkaOwQjeY(tw9z#f zf9uksSn|O}Afe%u# z{1=x&PI~MD%N&pL8A6$k8soP-`snXkA87=0wnHC>TIrxc?p?EJ{Ug<2{5QAJqNW5b3+Z zWZpf?re`7f$Xv5Jaj`nKA95K$@lP$be-gdkm-4I2@Eoe=)e!@4i&r^K9G z1Wk?ek!i4vdtoONHTY1J|5m*Ln(&w2mz9BM{&R$U=Bpg`T>0Vhs)(69oY?pSeKs3w zUBaqSs2sB!5$%YR=k$fyXjkKH>-Vfat3TEG$`N5Pd% zn5f9@uuOw&ENc81TIZrlbDvU$AUQkvwcy|2wylu!Fdq}Mm}o-jWPenCKLNl_gbQs0 z2Js-6n;bpYjMA02XICK?g$0%wPwcFFLM#$5oj4m$QayVUfZmrK zb}j#@TGg7jI$n3pRk@6~7tdlKuUb7~$;Si7Hyt>6h0WQlJ4C8G9wlrdO-_7w@6QJ= zJd=+_9GNqu4#Ey_xMbt3l< zWb{=3kO3$^N;gSHSNCV{xFWvk4mcKx%M|}_7Cd6YaGeudxfuN8H|dIe`}N4GDBYJE zR=azRMps3Ojron57{*S*z~#DJ2vAaZG50_^(udQyS~6K)XxaeBN~TvKR7YSphc2E+ z$H+}##5gbK4_40>eYF6R=o5lng!4Rsz>=QqF(slKJ+d4{qX=k(JGnd$N)Q00?VIf> z>~@|I3+?0PCe51Mv8lyFn`a&1>^OyFEvpnGgm9FSZmAXkXr+4EsKD>e`NcPye*3t$Yjfl9^v@kZ%pg z@=1P)n_l5vq0(~4?7neelE|i_bIO|)&m?n2bRmn{<@*>!*vxm|-T&$zTTOGT_o$kj z4d&fiw-_I6RnrKs0s=};Ufk&mWwZH?g86bjSh(91ZcIc)!e_Pl9Zcw1C1Df@nb0^m9{VkLJW$*`>5*~0x6xl>2`^5OV&hH87Zf7g= zzo)wyYH+*%e%*tX&zTZ!Ujm~(9%N0wcfQ>h#Gn`}e%eHWS-3Z$FZ9c7Uv_c)SQ^AT z0AzQMdjQ~(aw@dU$-UFl{FUiWBl$;!Q63Y|Y(XwT+Q9_*+_FK2wSKWWd!Msj6#ekR z4m(n?;IO;&06LR~eWq?hYCLIo(Gq}K&@IWicP_E5NlSpVKJ6xXzUu2U$~z%@5kvcW z&;>2C+0YbW2z_5IJ zhP?_szD?pkm4nn>&u3x@d+6fBtS#eOM+zBqXJsb-e11ss@b2{lx$yA*g2{b(8`9{9 zdkFt;0@O<2@d#}lxmRRAU^p{?@`+*POLFauVKzuG{>1jeWT|iS&UWAqWLlpU3^2sM z^Dv)LQ53wi`;|q=iwCE~EeYHBHYti7_5n2xEfLn{mLZ1ksx}33C=-#pd6wIOFAHU# zT=JqL-dalt;}GJb_~^;o3Sa6!Orve_P5-Wq`=<^0Mu&lX{tW()=6Sz&2Y-zBL5GW; zCchtlkx6&-0Fc|HN{5_lg+zJ|;$&Fgfqf?xXG*Om8D($Yc0*^kGWHz0LcgB9jEu(d zCWdbAzZiR;5im{g2qk@V8WcYJQa)1{uyT5I4p1|(WW^hzhK}!7Ovlu4N}=;z=YK;+ z+o$4?6x%ZvAIW1CDpE~OUCyZvi!!CZ27*h~XT(M8u3pHIZOCGlNV=FVq0X*8=^15K zcrfhKSYgBL!wze_hb3YJnVN_fJ7cS$nc!r(H>rqEy2+O8B6NHA`A0vp3h+`SxRBsv z>HE!!ejHmgMT)x-zLM0S+x&F+&JY~Onfb6Y$n$0|NEDn7eSy+~Dme@xjoFc6!EzB6 zh}df(gy%zI3O(WE^WYn_Y}K2tXi@>n)CFq_?<Rr2EKHkjAH3##9iP*N;sLglx8aP8}%G>pFvk^oKkhWCnQ+9?P<536uvr@ zTz6}W;jKo%>ZeV{lHAg%WZ6&cNlZ=s!^@Ss`i)XV`|qm~$j7A-C%E@_t&=~w{1+!e zJypT#Za>{|rddJi`8a!&Pq zEc6}@9F_7HJfB!zBB(lO=JQu9I#);T4gG&uo+!xntwy3Zh0@S=|3}kVMn&1a(Oy6p zX{8Yuq@=rH2thzZ1QeuON^*#oZlpVYp#BbvNcyvMq5!hO2EG6Gm9(uSvLGP6B#P!Gm~PAA3} zx?aHJ59WO5$^BUdAXvotW9wOkH!+1Hs_o!n@g#Wi>I|_CHVMaA!&mg_&K$3KJp1cN zkdNsB5#pjG&KYS!V$k>sSXEEfRd)spshR3{c3Zmbuso}c3tYQ>xF7p=|MDm6!SJc= zSJ0gh^^0*yzM}S`11VtL|~(qz9$Xpx{^{VB&bZA%EKaaeBQQRn4#>TxSH`a@;=#OtQ6+QSSPL0Ouk6?1k9_XEnQ6c1b^0%-rqN@L$xtR}Fm zO8|A_gvVDr3Fz(t*!)AEu$xj12pg_qh?7n=Oyu>1JZg`H6DpDFxC)LU@MND(E7u;`#gRQW4?v$T@uY{r}AgichkH}!l-X?UfN}oG0nYCg4T-o z!;2=Ro$GyW<#rG;0|Cdc-h~}`EgyC}*$HGy02Nv?-nb}I z=(^nw{r7$hBSqu&Liq`JuIL8R*n2ylm%pAL^#{fV-FLf@p18XSSh=2h!~dK?Y*LF5 z-mqGkdlm1J3Xwkl={=En67QV~IaAu!ZL5JGFRKCkLd*?#-%+h;2- z-shZ2dF(}yc_F##H0L^BgPGRy^v8j@ajw)WmqaY$7kqwJm7>b;VEH_z=%(?y*n{jb zQR47--B`j04%Ej*4v&@&E+OW@}GZ^vW)WNZEEVQV(h;%$z)7HQh1dZF$Zo z(qkMp+XFZ#9HZ;SC=x2cTjpV1OyO-|DtdsYMwnE|IhZ)yXpyEmZb&Lf1nsBHL>Bon zRnJJ%zT52`TQ;w_${1Y+kCoqnt{be%EP-2t=k3?Z0|ae84yETsf(Ks>IGQwyPzq}m zZ?Y#kqx7l#&%|AUBsE2U4p{rvsNU3v{lW6-BV%XiPMT;;Q;7KY^^Tfb5w8pA^U~vA z%#RwUr=C5XDwn%GX6z&HgI=vc6A@;0%KdzqBK*d(3Y&51m;^>;#>_9Zy@oy>CgOOE zWQw#uv+lEwLuq%vNR<7I(N`3LTrq%F^etcXW;=?@P9K9ODBatCh8)%|?FgjmZc457 z_A-YkSMM?UZA%1Jn75f6u}!m<{1&bxKYk0Vk)5B_%z>pn@5WK;%Z<{>6dzZ$dRP_} zl`p5{AhUHTpH!Y3SUHSFZ)S0pVtoG10cEAUObf1J-)N70?D;PFO9RehJ=*n-NwY;S z<&Zs}UaQm>jZ%vSC&>wJIJ1noh%ZF%y3C5Jy$_K&X5C1$?OUCs*bCbeaDCazk(XR_ zLCp*5f?gN&bhB<}RgyQn%IX+9Hp34?&QtYU_{Sg&r%YG6NXPBUC2LX==v`l)V6V_; zFJ5z1l}GtKQ^S?B#~V>bD#Rw+7aY`Xc;jk`p#UL1=EdRSf zec_Hmv*-TE;8@;vd1%P4iRF@P%)eWHl#Jh6?B;jWpFL}=iE&PMNnd_`thGc7J zT1Dh)UNeKFYe`#oe2Z=OC;yQ>I`>NT9&{W8eWympYH#t+@cI?Gq6=qu&ZsFNcY8@N zmw6AHOyMeBuQchX+XhtYF{m5uqvVBLBnw93H`u?NSO)F?N7r!J%1a>Qm@=uc52$-^ ziP&muh{M=x`AX}W)mnYO?ov;#ua>?#ydwcq;sCJ!IVgpxD+FI#5>gen%eo9J=Yi*B z=~26C%Z7ImJ7w*r=nY}(oEa@h*-55ogc&Gn=s;rKe1?FDUCl0xv{e3Pk5=`$J?!1B z=(s6UBPRY{VFii*QrYO`jsW=I_g1g!W*!NwCNkJAA&s0a`!@B3{Y@vNZ38OQ41FCD zl8+~;Vy@Mo{w`&y0J$R36RJX%6FM&{^!2yx$-$z~#&7=6kr~hNHbCV3U0>a_ri{Af zGV413L}j!n;QibH`uj)$4VJFi#Ky4pc<&zwdskXc=5^k|0{P$g`eLHI|6r-H0m~>q zj%m|Jt5r9UeYIaGX*$EAZ>qVDC)oCVB0I-7;(uA6`iXtNUh;&~4{mQ9uIB1e+$k?e zP-#fZ3x-nk1r{1>YjZGmCJnh^0th+lH|H^i-#wO1+OGEnwzc1lkD0t<#QF<4GdudQ}%MA z5b!I-oz#QY92*zk+BPHN#q`~0dzf*Wqtb`Y=Rs7gUi5wKix9B@rS1;Cb__~z=C9g!AY(9|SrTH!80i%P;*r}Kjxc6Z~ z%v!GHOf_S5#6JYwEH4dp-FQ6>H%I(l9lO)QF7cgsrhB){s-srU$tU@)Dv$a8OVfyC zTLm$bfYJIU5G})mS{-hm%qJxxWy{8(d-|)5SD8Eg9>PSf3DL7derti+p{^Mt1LMS4 zl6~Je9K~lY2#1P3#>vT9sW{GQYgsFX=1L}qS4i2GW)Wdt?O*4gZDD?X#x~rcDR%Jm z%+HzrBEn~}byGWr>A5DZbLyuO>YLE42(`z2 zy8hq^o}U45ju3)8*{$k8R`$6&s)oDWh_F4qpJ_-bo)t|Z`CdMU_rG!kn*m~I9ZL9D zjYaD;=K@orCJJ;M3PI#)ZJRgfhy3YjeJwxGh z23#wi3%B=7(iR+<)PR|BG@>AFhXfV6Q(1fX^wUp`v_T*iJ85m|4Q3JO&D)pspHr0#NrDV4 zspZBb_XG#RUE*dMR;XTQH zH(dH}*8tC$ce07IRnSa6-g0dJ0rN!2TPaP=P!Z5rb-A`cGDfyD&WI0I!F@ivCJxjL zml!&$VzwFF#%Wa=Z4Tm&?ESFb3@nnx??xvbsBqNw!~?ODp!A1qWs@f~`Wo%AYgb+)X73S0*NqI=QsTH0`Ck0Nfi0>@p}o^sadBb)@vH%k z<1xA&RUR%Que)DBQ?2sP&_OZ@)lPF(924Sr25fwdwNA`aaq4HXuy!#JS0vhYXQGG3 z)jO^k+y#Kl+`b<;ENb74%b?_Je_w38g@x*cMHcyP+w_vsgE#+p<$NS!c|^e6!}>w5 zZ#@A7#qAe^MU-hn*HMI>+tn!C&W35z{lZ-xijI~Z7y1Z85Ar!SHt7KdqX@PA9xD;dbdFSaP8<$M&G=7oN(8= z2e*p7dwTcx@iMBn!}r_#Tjzo8D;V#xQP%3luWadl*1?lmiQeFf)@5er@nM9x#ge4o zbjBvp#l_#_g-Wb|0wuH&8-24IAdPZNq;0{3gr&Qm#s?QA+|I%c)krU|o=7ZI0-5Oi zhLf6Y_VVma%-mjwEWJ2we;D>JZcFOdz>QmLt@pUNGMLb#(<1bKLRZkCOAkDs8%`w) zCfFg~kp%8Qep?tKde%IT7uqNln;refDLKWJ?lW>-Tj(ynFMDrR4Oq(pd2ZxJH znmj=v#!KR?F3NfUMi)KQV4#!vGj?Z>2QnO&E0xz;9Vex0h}X;K8sx@P;*3%ROg8%6 z>li%1U=MY|4ss}u@$5mk;=QgHhhY&-n93Y}A0yyR$mt*44wO=}%0=&IZuQI|8rIOB zj?-_YB3=B7?UP@P~Qs>Xj<+9~<<)h+c>Nu!)}kF56( z>eHsl!#sT2fpwt>o=E5Ln`(RP0why%zK#>In+^+MO|?*QD9y?Cy=G8J6dJ z*nc=v!}(RNr0OdKZfHw>zPP(8vPkM8!s_$~>o%P5C#wrGV1w!QQ@4;;bt~)l+OUS1 z>vDxX8hKD zoztz5`BuRdg}dOC=8?f%Ldp@?yfmf7MUn;dIFG}Zc=(qid;0t)8t<4X|BTBfLo$R$ z_@8j2dN1jRX)Rz-z7H{v*$rrBQL)mc;@i z<6l{%DzH);H->umQB!7nMWSXyJ zoMc$kk9PlQ#A}4A68^#&43pk<$e5Gwh)#sS76M8NwFRbJ;`suSeHO43I<#=+VXZKy zUHwlB3{IgSD;?yEGXBi$ z#6GyYKy+5Uu&AxgwXiyT6^CH5<)zczi-5^1Dq}N-K1xbF>uwNV{klb=$xRc<|K>|| z6Jf}voyX||+cDwFZh+u#3z88#c_|B zQM=&*#hgmCy+m-#|2oOY^V`n6i6dG*YoLve3#Np$HF;bs^!FCk^5d;AVvzy87(Yp$ zbibK8ZUf*&k3Q%^gk;#6ScawGw(u>N)pVLj*5SW9O#*r=k{Bm94&R3A& z-u}u}EuVFn<5cj|K0XyCdT4^@7FGk9u^*hm6RJ-SNCPc=JtsSxi69kXRB82nI3Rbo zaoGS1QEzFOwX){~8o9d9^dwG5KTSYCEs&zssO9@@AfYXV_X2AaitA#6?W%#4Rn%p012-1H)D0|0w zO;C6yOOO;w^V<{^0Q!M(nvPNx~z{SZr8^6|EgIDr~E42>~tZdYn<|J3{tE)9rEu)s?-HZ+!OODd{? z_nad51+sd)IiO^}`Z7w*xpK7oXplae=PgljgX-S_qHa0_zR0>tk3Y($(IY-DjVcSm z8cj8mkdi>)(W;AVXz?u`h#jUuLWjPw7bbIBhM&&lRgVP2or(o*`ZWq_7!E#M6aY#e6}a_+1zgWjZ|K0!Dn*(C zm1NwPUHp9%?@MW}-mY14AJQy55o8VRD!7iI`IQLOASOaQyAz9P2s8Ha8Noo(?S}(i zTdZ}-TAn-v_X>Mq!1AGgf8Fe_idpZe=<7=l&)f6`){ge@5J-s$$w?!{r6UH&%$nTa z%)?z_D%k0qi9izGLa4ZK=<=r*0;ZB1>|dO%B>Mt6&ap!45tfCnCZ1z>s;LM3(nQkw ztBde5Lkw8I@na2*_sY8J0Y+`vQT_E^|5DjHf9ldt0bQe@y)AgMJab&XEfn0aOyH@~CSufitq7BEcJiYC0rD%nh^k+>Iw^{MP?6~M z3e$P4OV=$Do+idynCA1J5P_kr@vNUEYLH*mjN}eJVI0*?;3?cI1FQ1@;T=4p__bN( zRxr*geazGbm;dQwoTzH%*eA7SEg6tk*-iNJo+nrN?|bU>5Oj~#5%I&p3bTat0z$N5oPa9tNdTWGl3|xm}AcK~7p-Q&Q^U}qeKlx|P zSrM6R(rSkE(6*~usEgWYn~JtC$mBJ#_p4*$MbZQ*&sXn>T^Q=-K1&D&UW-{iw*jwl zzAWLSrYZr>Y9Na6FOLdL?MffvhuM(~tX@y1~v0PW8vqtj9W?j!A91B z`*<8uTdUEcke@|u(l;+;O952Q>ZFsA4}Xezrak=D zuN%l}M83OI(7505{4gXeN#Gf~&U8(e07+{Aa>aeQf2y6{{<`;92gSRV^2b^Hu5S5N zmivhsFSmXAfpOS0GSo<;^O@f+%Tt=Q?`e-7+OM<_rd%0wHcZ01jSaAMy?my0 zSlKk{(h<_LuFBPGL_4QAxabp?u={C%30|UVywrbg@S*j|FW#$RgUaLnU+T``Zg0+9 z{LANX5i--wurrHCy|OXw7(vfvt9IpkB579^=}mmxZNC{L&-X0uO66CVuWf4|&3%=P z{Y!UM4pl*Fn7Z1_^sJ#$C|D!_T_=~qr-wNb@gbDx-+ZX3XB7RbQ-h=mm{o)}6>&}2 zb6MS2JqR>8cW!?V#%8CGQY{9#Mn%kyaG^E6m2xyFZGQ15JrU{R$alN<;=QKkc6d{k zV{TmJSu2C8>6Lb7r|3P(6gx1lAoxz+_THAJ|IN#J~poiOmHch|EKs9aVxoFp* zBz2gMK(YC9xZlpR-G7Zpg?<^0=c<_It!bh1g){-vR6YVJP@&$qZb(_z}hO5mW*Aq#wOHqL2KJw~52u>VNst z1bjJD``WL!>}T>RG50bXvh@iTjye8*@;)UFE9CaAQfuR63Ly>{omjHI!#@q8t!z10*kD{x9NPg>gK13FgkHFjU=<$^f|T7O9sl1xr}+fG zP{w88xT{euO~!k0>M$#;_gi*{t{)C9FVthwd<-mHeoysW`;OgoJpin@OsEALBy8#U zZzERJZbuvBYW6{6MW0`+><(_id;F$O^t8)1<=96F!wy*WQjO0mt�Q@_6fX<^|oY7);s-VkXUrbuWW<( zzi^RSIOsHTOhQ?f;7o>N z^RBD%nXdLQ`!u&N^O<9Nr$}mIhm<&3-Lw8+qnOIpistgZtf5JYTcS&sT0xGg@m{~+ z=A>M`p!^|q|JwXg8!U74&E+W}l-zc8j=epnP2xiY|kP-Il_1$fXm)fuJ(Nvt{u3r6r7C;etx+0Y)54bGNLPvta<50zE zQ3B6mt`}UMnLeC7n0s{ONrk>fdV~g#XcBt|TF?g}qTj=)3r<1+7iZ#X<;ovqe+KMP zo*uQ$X>_^w{pK|d+by>79~5*p`(y%o8V3$daXqTV_%TR$GXdSJM3=ESS)m^cL0RjK zb~3%qtXT1!a^lU+n+^~2%n=tD4h>dgq(bp<1I(g+Fo5Pib{JiJoAWY$I8-=mLj=V# z&N#i8&tXk+D3Xf%)gh3w*$~;YCpN-Ta>7qs#2?D%g)=<57=!*@=c#mJSa#y}ylpy0 zDb3|rGw6?=b!w%TgVCoIeh(I#d_YAzW?U;RNM4V=Pus+u(!Jwi#1b8%_tMGo%aCs$ zy!!VKFiNj>5OY(N3R)Y9tx>Pi-H0E{{4A1tDCtR>VM`SBNoD$M*Ew_)Me8VL+kB8t z`1`-#dsW~V1+8wp#XqlExr-Sx%F_!f(YRqyj_v5r8Zw+5I}Wp+{vE^U327Q!nk-=p z6Nxy>fj+vGFn1E1h#!9(0ti8Uf(#+~>2D?>eQnnv+M^gx&%+(!LX4z7k_bcAUWaYK z1*hplJ$DH2Cu8NMA+!y&4Ce7+ybA>2X=mo>_}!oMt$W@0iYCihIhl=#q`@|I)D4%Y`rzal(=I3Sfw00>e*@XxG;a=#RM5_NdfLmAu_w*{ykZGZPsS6azHEC6&^w-kB54@^E6Nyc zg5q2sYY|wCC>-3n(dfFX9~ew}Oy&7U#eSQ1HzGq=;F7ylSGdr}>o+I1`_5-fIv)pk z@C8C$bZmGC6{8I+{BRQdx%ahiNnmS&vGe+OLeO9^>rKI>vroK?1?~FPz`6)#o!{Z? z%r#&6jS4c;0UfO=?a49T9nP788Axs=Y}(#e(W}4@*{{z&dl5Ch_f_K^3JEkflpeCU zsM|QcMgpc{wC{?2T;EO$;`F;LDYlK0SP7TLQKsk!s0rYwOQww*f~bCrFYPvkdb z)VuC_X%n6V0OwR>r!-J<@gOZvU9YsHf_E^`uSSjjV#)KCfqJE7EqPH(%Czlxc5GSi zPa3c|R6?pF_D`>Ft@e&uR$<40`8R`$h#)rlG(?z~kUq|VXiwRUz~_{-L~4?>UmjY) z@0o8VO@{RF`p9(n9M&2aAyjFp!w>Q)1H64H`?>E+%lr}opAD|T6FANHt$R#)Bp^S6 zV{ncitn2l_2a4NFhGM_VP&MGvd6`-|xJ#e;%e)n59~|HThLva)B|)OROxRmxYyGrV zlfY*>H0fvQ#5$P!@n_nN+uP63K`}xHRFHwTrf^P_DJnZMWH;p_XEo%#haUt2`9;`3 zf6($28&vL#%l91@PCZl+9{8a9d)G()%wD;nRSv?UOYWqg^%fR%vkC!B3%XvC6Cr8* zze$XFu4i%#%c4yD)t10z_-biBW-^sH(;jwmtOe+o&6%Bn#I8>Y!Y*=>omcoz`wMA# z$VbtB)kdGGjj#s-$E@je-ioQB{hul^o@0`^5<$1x-w(R)2kz9CWDL{LgFbeF&3Uiq zw+z@P1t$#Njb&U2M`5A0^$?@#5pl$4>Sf+ZLhmv$c`arU{1TsicfT9%75SNMF2(uJ z8+nUIs3_{jPDm??I?!U;5ssiZ^P-b@VNoLZg}-8YqbH);H8+MmxH?U9)R zKMJ*D-l}wZIpM;h0vur0Q&@#>7f~=)Iry8!G8f`uLGsGRs7+E zhE4ElJ2NKMo0%5cdB3k4j0Cc6&%?OXqx}vI?ian^O)TH8<)$2|}f?&yxGF>@PUmB5!A@9|L?}})AFZKjhJhIzn!uArcqv}}hqZu6DbvtPhw@_o`U&W_5IrNXqJS?*) z+B_!0;*Thg2@0rm+Oc&UpxXl&b5m3x_!{$kw%k!Mt079%`uTfqjn6)jv}&yQ-+1ft zZoV9u?G4;1e7@bXnIW#2ep5zlpi=xHmr_Ig2XIQmPEdMd?ym&(e8ui-`5T?e%OjcM z|KI?k)i*+>g1$myU6jB=IXC{mbJ?V@yQ!LMLb`(tF(T809IS6KQAR+W1eeqN>|7oYaj~ zk3-?V#M8I&qXRGjg_DuPHSp{gMM~SCk0HUhNmEhk?-I_ zt;?lyrsK!Ki4dt&v#G})EZNdT&4jyx?aQXeH!t+;;~U9b_30gkuZ7~n>}dqY6K?Bx z*5VKe9RD{1@-t+)Y_o0Il-=T3XrvG{VrB&uP?Ri2K#T zV|*egF;=f-aCjGX?zZOk5zn_WEzR8T6d2_D;>sHI0Xf|1X;e`Xe0TXOf0(06dj}{3 zRQv}0bgpYr!c)w2WIPq@SJ4u*ttN4+y=3a&Z!hkQ3%0z?%k>JfEFe4zLQMj1)c^?!l6ob1HK6t@lhq8og##dGW6pytj1)u3oQv5tt{2 z_w8cjOKa7dGV#W+c#7D_*0V!-NeG{R>eDn+N^Nnc=W*y@%9dAX(rhjdz75S2+oko* zmOXkwMLLizd((0(ZmhZ89gn2@D7|J`<^Vzd++bp+CeF0!EC>p z?GUYA%USv9e9Zfs`s}bs+X_j|!zHOK!O72LagDC3;5)E62Mv#O2h~=Z=-NLBGRrKdh#a|VY6oGE}r#yE4 z2+GePEuZNsTY_qEsrM!3>@1kwXUCp4{&o5XFNg}6cS^HhSw=fz)E8;svdd->Zv$RBN1RVoecJf4LZcWE@i$hE88m+1gMjyS#5* zR$SxU&A4e;&F_QI1>PiDF_vo}TQHcwa3&88Lx5*teQ~uAhUD0{OB_&u7l+lRdAEBp zVn*=)A#J?rqV_pUp7=zefzqHL#>+zD;7{>5)5@R-v zX76a79xXB*?08F}Xk$hd{LUjB%e0lcYU7o@t@Ti)@bvG9x0Rl~X?lNf$mOoyb_z(&!~ z8``(k324rk8noZ-!6xUg^?nf=7$Fp&Y3emFP7Tr;1>R5r2^BpWD^nzdd{j+?cn$)))53nbe5gMIAJPQFppU$iy+2O$U#LDz={vGHtgz2hlhELhg31v( z_)I;J^Y!WWv)au;T>Pt$(zcLJ0c? zNE4Oj-cl#%QM;lcqqHqr$~&PY#8_&&ddo{r|D4Cjl+gJv|vvWqS6pH%N zy@g&08cd<5zyrHj=<8#je&&BklT38d2_bpzwlrOJ`dvx=(xBC2HjRE)u+}F= zbfXbz`2Z2Kbslj;)6ihAAmi87mH8lVDrpR&r;eQTq&AB{cwZcI?Tcbj>8zT=UDAW$ z5b5C;UJFbnTj4%ki!F-KgLwBTEYxHZ`sI4?Q&I~4^P}TD=@rn%c=ztGnxpbTt7onO zH(h2dEkR`HbE)358z-5=HqBq-8<$P}Jy;!ZH8jtJ{zx7COe7oO9f2O!uerA%k0{*0I%xI1^o_7-ceW z+$b=trnuHvh5I!MaIO?q!cOvQFqp!=SIuADe$>Clr@5nu4*0c)*V~NX1xK?0>g@9M zN6~DLs+p%NNM?>nHi$2$y_IY8y@<}#aLAaUZk|j65XAy4n-q{jmivec(R0ut`T_yO z6?pPWpbv`MzVHky>A@(e(^S$#Qx*un_i)j7qQ1Xle~BsQ{R6$Bd$gsFe0IrK<0`;% z&ku@4O&}lXDp-A9Bf|1H>C-o(m-pE|Q~R5F0Cnk~1apl0z1@D)0Y+}Wj5xTAM+Oc| z+Sk1LN;i{}Jlo^pD)(4Y{N4pO&M9LWMC9`;>SWOCnJzPJUjt1orAL{Yf;^8i?F#Pt zEVj)VsNGs`-I97XbE7 zSDOiXMTn_Z_ST}Zqe2*5H*gM`duz`2dMg8^OX}YKMduQ5)&C9R?E4XlA#m-HE#~R^ z1^*>UIeB!F#|?voR)b&Nk_~V6Sgo#TVy@r54Az0xVh1<0I{pFo1&@^v#h#x^+vvl| ze-uv>czG+B*2MascL*yW3LUEM|e0QK1 zO%olzPOuL1YXJxs#p_B`M@6eNJ^zovQJ7#dZgwI7wkY;ITU*inRYBU_@BXhVDmYNN z!uX=?|CnE0GL)Yyr^WLY99kWQ@yEXP?~KRyLF<17G8wD1IL6z49U_Szyv*sT$I7XS z#Eo~X6!-k>z0izH?SrtT7%<~aGd*VdbW-5gX2&pq*d2fH%yV=dygvriQ{UB|Ne(6M^HIV9wbgJK&v-*gzRns0bIlp2r4%(| zaXh?@tv7*qG|JQeG+q+?E~D$%^bwz%6n!)~4gfu~A@N(S%=u~}*Ggf|dH(QIy-Qp0 z=kG*jG3%Bxq&iTrsV6`a17)S(R4k%0o`LQGoZu$}wchq!zk@+SJ)ZRa0DK{IPp)+I z7$S&4{hcyKMb|{B0G+aIX@jV29+v+t*ITqRW4 zY|4y}y?ea4*(JBiu3z1X3mG_%Tdm1&JX>1%X{92ZKTT_7@FrAw&7lJ~6IqC41#P0? z?P}su18y+->w)ZE$p^%L_+PoU_As#8`0mR0a_Q#)WXFIyKQy}su!W&%Ucr4$dg}SW zd{qFg_t*luo~E)F8FcfDHL3ym%&`gDgti4_XvIVNC&dmYvUu7Kr+a?eNc}1Fn~7^b zeNqPAeh5g|d_yr<`dBw_E{-NlgP)7TEJCr~Uc++NI|DVvW6!)s;x5>*l`oE5v8Ak4 z(cJhFVzcklz;c!zs~9zu%$4L@%Zo+QQoZn0zKmz%qQ`*IOTjDv2i5x9$B+--`L0(t7l93Fj)rm~eiR#u@|5Bl=CRwq=NYIdZHZIwwySC+#m3+H>Ac3j=(DH>vV(1oOdQoJ@Fn|h|1a>hujm@^~FbLvcT8{+x> z2XSr3?j7^hYx#Tl9cT6hm|m?c%ioOby`SG`r*1D>oW$WcRnoHFY0oQ)R;hw|SgVHj zE1+wA_IGuO6T`mzFZa2G20K;v+ax{{`IAlu1K5B0ZZ?SD{f#VLGT!nCQoIboNcg;7 zrQU~oz|6wk`@>@5e{boVw?-N%(Vu9}K^K)(b zsm16i=f04<8q$Vx4j?LiwwGO?)ee6Kd;-b4K2;*dA&lX0?a(Bngmg$;tAOfV8rZxN+Cn$d%utISo(X`_I(9=I$6COD0qsT_bHp`x%7}JAs*fKc5&>4 zrcR{cRLAS#n2%8{%R0pb3~C7A0egInpn|}zrnAT!mal4EOBvAvQ@~*6t>X!@-Gasg z@kGAM&xu$98!wy0o<5@g$nj@L+B2|p)!V}{SiL6c+;3{U3>)=j7}r>k>3;3R5ctjZ z1@U0g133rV`9-%D%cA*sS+l1IrMI@$){Y%LroNxe;3ibGcG=*h)v-w=%h|1FYW1*Ql6r~WFjN&b+fJY^ocWJ^!nyM-EnWXhb}+; zBH})MXwuJlEWQ*`ql01oLMv>w19k4WOSh6#tEF=54Ngj=&Y_vvEbD*fW)`(Nj=@zb zOR+K(IfQ1do)#F}p=@-A$|BFKf=qlH!~e1OOz-P9+6ZM8OuX1KMU?Fx%mg=LUS#H( z^W{*Yo&aW-N2=4`)2tw$bR0duv?j+wsY-mz^uFHengqw;N_+tlMs$dxJ*%&xrf+ zrJb!W;nkbGL!Y;$t_oSn2VQ3IlWYlL-JCs1T7$Dz^0wcmTTvF-v3Kat>6yPgsl30i zjWqNwD1ewAlpI9S`*wL^?Q-%&zF9z%x4z|r2Y!DE9q~~d1>lX806g}jx36n~%i-W2 zR+*ixO~vbRr{YP(p@{v*n;!uBNB2xc+^xv_4D5jWm;ISC6 zs84rX1p%3z#%Uk@$cL}Le}6Z+YDDlO7PYX;H{K)#n-yc5w(2LP_j?i8R&&$C$)Z>l zF~;LZ=eUp@2UC)D|FPb{vi212;qXV&&?8I37nJk20qX1X#j&QH{Zy=9q>W?kd)Vr4 zB(2)2_Jx^pI#KpAa zO?=qQZM-xNCnJ^{bEM*}D&B7_N>x%mEi{^tR9GCx;Ah)7Y)T*Z$Qmz^Q76A`EuQ+L z_9TG`$YMi}3MTSgHudSfOGY^Q1-SNFYm-fhgyta+cqGaJ({cSh-)Q%S;Aq&Fn>`|V zS6Z1d*y)}Gm?k&*^e&)ChOs$?UO{PKx;O5}a)ZAXB9Iu!_TQel&MCT`W&jN zIeKYdww2=IR^23ECe-H8O5bjEvauOCPRmn~h+*~eiU<1YOyVe6t5;h_1Lx{&=0NWk z@3DWo6KrD>29?lU&R6SV&7OBte|YN2>5H_mjkFhNeY=IK^hyK{MsS@px3I0AKVV5v zvRmkBzre|f^H|v5+(hpwJEf9?hUbw5*WOzf=XjIOM}*r^p6n72a`>>l&8RPwX@(ic zDb|_Srtdne41ozeAFa`w%4yRFlA@i4*9GZDMO)ex{Ai$+_7wM;0msEf`B{mr-hfsT z2*&j4KDixs&NdesBA>fsH^n69Uu^Z(`MtUXc{P?_ zTuCs%2%)is4mMf3jQ-;x47$^yLl#!wPieiS-&{sTv-B}uI6L&-kb|>?6ZqVY`3>&Nygdrcq366zV38uCQHaP6DeD+1<3RHwvksbVk6{|zj%y668NLZ} zMX~P|Db1*p$a&$McT9$+-+yJzpat<_0+rh_Ie$9PyooV`2?{l>k$-9Yw3cdx zIHt1G0au53%=8~+9et`gov+74&Vji7;0%)Z4U{e0J57^bRfp)oWE|6mNd!bfM57~> z6ixVqCX1OK7jK(R-ZTqi?_a8W(^1Ap$I`fXpb=T-)I3YG6)=?vTgz%gvQ|vIeiZtA~+J+csJ%x*-$GFpE|+Nz=me`RX2ac z#`yB*<=^M+o3Sk?oDOSlIXb^0Y;SdGqRub=`t9^>zS(sI{_r=b$E|GhbVQUnb|@d- zbav1$bBzmnSlSI?6GyaM=ABQu|bTnkU=o+%ww12+RxgLCTdc0{jj&d|0u>AKE0fq&G zG!cDec&-Vv+B-G5K{uDXV!1sx?ASmrHuIw1MRyaO!5Kx;+Ww_O6q$Z#^F0~AI0O_u zr9K!~n!`<$AvT~?P?unD_~{e@M@zg<>PF= z582Cez|!WE&%dKzDcT9qt-MXxvHW8F$si74^Xe*(Rukul>#fBp7AA-U>|2g4Hrga0 zO>C_@Dlb!Ei(T=~L|nNO_D6^sinGa*o(9qhU>grszI=1nNf+CT(5$?OP?_uYUD~a( z93d$O%%dOdc<)M80kd)>fOsQ&ysoWAAM6DsM_v=xeD8HPsQ85#l0V6zg*>7}M;!+JW ze8!Vnl4>-^5ZFkP)iEm1rrYiG`JB+Aslh}g{4VL~C(r$LZ7CmZELR5LtEsEMSZ=Q+ ziYb>2D=#Ln4WZMVv`nfBg<)wEe;{8<5dBRgA<|>2%5oL|hp4lRYO9U5bz7_yFSIzp zgS!L^P)dQ~r4)B4F2No+Y23e!Q_8=x}n@^r1mLpWrfg*E#GnjrL1NJFwl+zd8O8TWr z$+O^ddbo)hqj908^U+F2LlKWTcv@<@P?{UnVj5Ou?^w@y zJ?V47Gm-4eILT?bf>ATPWMpQA6^hDcx_`afvTNgQZvoyrgJtefyxP*_0i@e)3V5)i zngAA-4+G~4?@j{=UOE0R#tO$n#FNOmW}KJ()N$lxT5>+9e}kieN%mgPiQrQ7F;W!5 z{quF1+FQQr@9jH(FWKkmD+M4z0`q8iSQdIT!{(rQ<%7wJ$;zx@jEj*3h(AMC zFvB3Bdj2mlPcpJqLP5O9!Yr=FZ$Zkb41Bh+a&5SI4kLk03D#$8x=B8Rt8~{iX<2yF z&lkfPkS`>W=E46NnDmef56Sp#T?IF$ikXWO!GYA*dN#k3O)6muIw9%e&S|$qJ!YPV zOREOO_B~lUiCz2iL?k~n#46WMgBFuuyeidXI#$gXj>B&9@W&R9+?4_aoxBcL) z=Pu&Sk9H|%Kj-GWp44&QhOFTyNaPG;LZNKQS~P^r>FQJ#137U5m9l<4$o1z}hcCSj zhptAg#2USk^6!YGIEjVf{!owhb})2d!LZVw=7SnIX(TRSE^rAsD~28jX6lKy_E^8a zTv{9Qns0f!yKYQ{2OgcCCw%{Sj-uT|T_)eBj?GMKZv5Los|eal{y(N|Dh_Jy3XBD80XM|1E8{ z4k=Jq zrpv?MAFaO8bm8ExKv}>W$P3pjJN-E88iSY;Yl4G)$}^1(=@)+|JxG3g3UZV4jd}Ou zdGOot;aRNAN>T0d*+rkX_kgqy{l>YjYfeGOZvs0TbqqxLOLdN}@L^)Fmw6ev1wJw+ z?X~7K8H4LX<+Xcc3G!y7(RKsY)whCQR2Vf@y{MZRaNK&;FyL<5`ZlFzst%w)NF365 zh*zrIq`(vxZz&o|!Dlxq>ZgnOZ(#4ezehU+5!sE{g7$A<#-vgS_DYF_$jcZXr<6nR zJt{-xZt~;=@-uqC@Yo|mU2ofiq>7pUKl<}7`hc)T)w8%K<4luIc=9XIVLdgRNsAqc zsTMk2;<^x~BFSkj+;ov_KRi_gS*imWX;uP0UaE4}%Hll~tc5)>57BNC1->bJojaUmI!n``?w*mZ}*^6m|FV-XItv zSq#2$+*))|`qCTz>y)Q2t=o(V9lgJX*cHSM^<4=4jP-u)jUy(pyy^{;v2delRa}kl zPd7;B1;3#cKYJV;XnJ*_1A{I5qhIy38`5#kCI;;1=V`U~yD$XS@I#_?W(*2|LeA^I zV>iL58HF5?Pq@Qsz)Nuxx@#a$h;CG<+)xxpXo0e0g(@0S3sHPz=6CJp8^mB@?G8*X*&nVfTq`?1K5!nkV} zg9=Y|J&Ey#Eq|+2eHV$>QVyhIlO7${FPsziIR7NT{e$K1I?B+JA7C+pUQ+M^>-;NZ1c`?aAR1+Zar5Tzbc*kUCz`(n3&6c5sjQ+QHL`e)tizLu z>WA`}vmlK-dr-Z`%_$s&gbSOFe`xpLfvX%xF*8NQPxY{q?3L>Wc`Ez6RH`lB&VTsj z9=H=OmTNsA#$V?OvoQNUa9&WRMrgmhysxvkF2^LaOkF%1>zr2Eb570kqXzvw3w#`m zdu5``%@@7$oc8az=0;yJ3F&|~$W&X=o0Sl31xmO}`O(Wx;tYxOkRGtWvqMXW+xF!M zrk7^TQ#q;IST~iJJ~Tt5HXV9XX@uaYMzXQg5`NT@7|JhBT1q}YuW8>+jK%{mZ`JZu zTUy44>rNb(w#O4ifD2ptf3da_GQ^w=I0iUxkyBK7iUFywO8J34I)_ncB6J0LKKjoD zYlU_bbFmAYyc;nS100>aJxyG`M+7dpd6FZ{co2XIN5|TYJIkhaLGeT1s;5MldB{(t zTA)Wi^m{ADU)*Jbdxrt?kTy9$>7E+r?>5V)fS7&de+1S;Vr0s;F_H3{0IZ@@@z1cR z;o7XXpIR@RvOaiFfBNl?8H@FZSq~Y&qRMy?-WlEf5i{ZY*B$P5-2G2B?fo%^9jK)k zdtAt;0?qIqiC({99A-jPL8?`i^K3G5`SNYLH*v@`Dv5rpkx(=?llmPI&RSW$@mv4k zYC;ML@vHT^HhQ0}(6bN}3;PhMw9Zxq10y5Q;a6nkOZ+u7p^m%Sq=vVPb_?@mxdRxpj&3bY*^v}OsL7(2) zAWRp8`~^~ex)>OU2<2Ls84e&lC~^3J@V)(8*0(0=B4sd?*#CU?JP(L4c-pmb$=V(E z?$O<9`oy)URB;ZI*`#M4N_5`Eqo_hYGBbsiUEZU&=$bS6t~w;MyRMhLsqXf9H82e! z!WvLM{MO`b^QYeNcrTJ*fzf>j^tHEOmH+*}S4x?;%p%*ozjCYM*R=iU4(38fNGpnw zC=oF;$0;ygOdpt~X^>e#H)vz@ zTg+V+vE48;4ZzsaM>TKO{8VGmzy>w>3bJ{bPjy(8Ly@&QyURSDuP7wrtMcTLv$Nx9 z^J3GP2J@S1Ukc7Rmbe`NXfYCXU#LjoKa!4ekr%_nFAcyhNq02P);sJe=d2bwjxt)) zg3t0YP!6CVaE@kef}*OOzYQ}dtgcihyLwZCmcAwWB&>#p`j8#eY{EQ4n6$EtUQNn) z`KWY)NDVT=dZ`eK4LLjJtvCh08!iE4qP476@;Z7K5W%ih3Uo84Zyo#lT00}SnYII~%YX|E>FnOt(dM`G+1(q4?A-)l;_ z@QzKnfYbnO`{OEmnSE)Dd@hQN&6ZtFl*lSqhFnfqM_;$uN<{0m@Ch%{#Xs~IuG?Wj znomC`2=ZNZI}4ff9lLh)ec=`Pu;VR|)!@5@qyNu1`qxuw4;;PRE3eUB%^Nfx>|_be zZPR+*cbUr*md3MI0Rs$fj;2}_w3kiXIb+H3U4*CV6?IUE3(a8J6mw(!} z3~RI)EoF)pvQOD)LNo&;->JWDw1Op{@+nv*ig40gvkm;LLlRAxtz}@J>o{a^1J+ez zuu4fkj7TqbiTirBxXS?b`$ao;1@4PwlCnG>G|&IUlmFyC;&LurMvP=m_wwo&EAGT8 z(_~^Dyu3eix!A+=sb&|89L^H8c)d4L0KdDIq3Vqeqr@YI`^OOLFEi_VqLDL`TbTAV zZI6qf_nGhXddx&w;zeywUV80dX1BU8)S_HS_Lz&WfFx_R8e2aB%*RjPcX(=L)jUV_ zb1YhkP!}j>bU#c!25$Z-DlVw284D@lKs+4G1a30gYETkJ4VJtK%ON#_N~U<{lkoAaLT1BSyzZYYnxfHmxE~TLdnI@vgmr)05ipWwo;ePhgPYE$> zRsDO*Q>nUAnruldG+*_}{M71#(wd=c!@WF=eH1ZjK6kB=IN@r6V!Qb-%!jo=`C$H_ zNTW<^u_mEyK)>ihra4UK6J`C9bdK59g&wFC!Wp>Ysl0TTO_d(iGx1ropsswhFfWP| zMNcFB<$zl!qxdcJS5BNT;!KhHGgjeZ5WXq|kjpQ!CHwdedy&Lju3y?WAQ?)<@Y6i* z5*tR-VU@X?#`CZrLo;^ZFXQ>}bu2yue|vx6=%~1ZiCy1!#JH+_+=F&N`hozPl((_q zLCNmEc|tk#I+bhDoqN5jNv}tLqu#h-K2*eqRF+&{)`pA58vOzAytEVn zJbktR`Ca(=1?NyULg@lgzJer;1T^FfZTvJi;g{^?&?C#=xCZz1oK?UlcUE2ekN#?O zBq(>IE%xI{2b@&W*ke}z{ho&Vig+|yY)&Ut;TVp(fO>qOcR0Ygx3$w)T#3ab_lxFl zpHgC}k>V&3pKlAI-0|Ed?9uTxZ+T_FrXxL-x2*TC1$xI!<}FLU+IlyVZXNmAUkq&Q1{Q3i^iQF>OXW zS?q4wk-yCwbPh6g`a)kVK@RqqxyU4LR!rtyMbpCA+#k$;+iLI!<;+FId!1rP^RppE zchwg|b|hVfS6NG>KHs~;vrOe$J*)Dw0OB(LKEkxy(!%D8R;G6>#%VfBgaW3~{Gghd zTFv4bt*UrA(%dN9HWnY;^rLB%r2L0$G6si){kRYLy8G?j@;dlR&%Z>| z3%}}YsiH_91@*qYaY>D)^Zsgz@BTg4hp_**h(&Z4POAbd9$Zcf6m7$?TsU!s{xvf; zFxzaSDkzjSvWf2Q{!l1cyyuU)!V#ypzU9H@g%c-a^-FH88$r$#s*4S8gcF_vV8iY? zD=j zCOPABGC?Tl4o!10_||d+Lx`&&R1L%HGsEh*xvu*6wt&)^RnHbCeIK)yTb0`Jw+>Ix zeMzB3JuE>=ICY1+zo{nlUsv?uD*Mxg&z!=Ke7z%F?o%V>!(Ssu70DSGv?t1 z6xOZm&kCW>C#->+eaRI>Yxf(jAZX(+8UgoLT=IU9ikW7~$O{xwnByD{7m;aphxVtU)-oFwGAEzPYsUQ;iFIX&9E&gF@Y z0+Wpc@6WJ8II-yb9ZGZ`8nr+OsSWSbs|on-Eg|Wa`71FpuT21F(7Cdf%oCF`)ifPv zBf4!Eq>jih_N_9X@aOG3-O*?D=7EN4k^_W>dO^wT`X3Z6PsxTFALIBl*Je`ZyIxA` z&&-K7B6=32QsIG@$&EYe46J$=CboTC!Az-_#-}s7rSie2h!hdg7@p+mpL=mk@5Rfm zS>;3qif2;)C~`W?Ud>EkEfkgI2AVRO z9F%F(j@5^*wn}afpwWxvr2)^uBYsll&muFI9=W&4!rh;~s`7fbuJU9&G2JaF4A8v$ z4MpK&`MgYECNLSNQV{b|W6(m_ngO21CBy|hRt@p#GkJtUYN6`3E>*kESfeLRO<@|Q zky*^**Q5uRqDQYW=sssi~_3 zAS~eF>*ecG0&c7A*cIR$XdE-35{Z{m5{O*CQ_6w^k8y=P54lg21gW;-!$N)FN@y?r z%tS4@4VqOjBAYZ%=+Y0H$Ir`c&*S>9LrUgrf3q*Vgs|KiHy?a49OZ;9K^r8U zPE7A=iu%m-AJdym(DV}j?$=g&zc!=7dqD-zAk(ulWmeIIQJN3zjQT_L-|sxpXg)(< z7ZjM|pAR}(Og4e*c=wpu2mey9J6{oy`#tv@st6ACPjA%d9?S2&t5^V+u%q1&&YM6v zvzK&h#j9TP#zNUw|3Vi|zWdInpEEp= zr%1w)&rg@13@(`7nY4b~`qWGAp2yXvveU543d*E%wE9&LAn&1#7eK35@OC@x<(<>K zrchb9&%9GCHJ%*=yI1nq_X*GK9iYQx%V#t@Qs+^`vnAVxWP)B7XKv3^^c z;izj8VX+l$fd2VKv4B}%WGo&XsgmWxlz1K;N}|1j{^G{rEgA#?1lmvYTjB|=`w7iG z1zc%3yCsDBQo(DC&~GA#W-*f~@1&@riLq_9!Tn1r2RQ{inRURd8~SL0o<$-bot;?p zu5;a}dcaVe3E%1+Q3<2_zX{Ad+y!#XWnyY_STy7iLT#P7oC-I>f{Ch!Ha|tm!|Fk) zKibj7_Bs0l_HBBFoRi(G#tKY$d`EMNmt4EWsA{D@$Q?#x_y^p}EH`{M3liZCArN z=j^O!G_lY2w4b=c@8O+cxlZpo>*zAjmqP2olOL+fV2w!H$=EV<#q7b^BPXfmQ~AuTF!f{1jKX8*4{l7L3Sw6B&7?;Zg`F7s%-V$0@GW@KQj8j)|5`Z5 zg~k-$SHF2LbN;qER^W9xuxiSnUlAr@qO1P4`rNWSPsqGSQ)l^fS^-}^3C$fvC0 z(;CG&D9{7mGHu<&=U*8EVXgG5P7k00Un2n!8iO?H#8Z zeCRY9`%i(m{=eObmjy~gcWUEx^CPMMJcar)-$zp{>=mrUQKzbi(>{Kcv9B5s9pPZX9@Jn-E;aozEP{MMAN6#V&TVV6C7`u3P{3C$oE}! zjJJ6_mxKf!bDvFpFMUUqPETUM0EKUs6XZVxr98GP>j$6uEd(Tyg5$I(X2--l5Z$f#xeIfcLSc98uX;d@y_{Z2OOk> zR+yD5mqJCrhSQc_C!xo@iC4`}q%_|2r)mrp&fm!r$pt3dhcgvNvn1;3&R&w?{|Y=8 zqOqp338_;m^_|W(#ZR#~RgV&pYM$yrIRSPfW{#B9Cd4QwB!BH5raFi@uuMNX;aYe_ z3VgLg)%Z0_bby1Tu1Q|SoZ#_^!_?OPVp8VHBfJy#3U8y1oV^uAkJg)*>qRig-(~#S zTfd-d#B?sjqeKlEB^-gZomtYv%=1 zWWhP|iB8FUAE_XEhs_aZDJ7OM5G3BrQrrpUsDr}1<&Y-&>214|6;Z}5RR*6kzDb_@ z%VwWxMzoSOkH{F<3oA9nKn`Y&A7sjErRSyP{V~(39XoN;g*zGpyoP+2W6^5j{78N% zokcuVXp+}bJF<1N5Tp41$hFSpb5Zp1y|vKL4&x_bp#yEV70t>!J%(EFTn^_<6U*Zy zA%tQ>OCUOWP~OBDq+Tk~>(<|a7tQ`UA!^6fF&qz{n6a7~&Bu=LzWovJv}-uv$@To-pfKbL z1rPM;F38Zma%)@iO#T#z#7o3OdvzmUR{wUk<82s`JnE{0|EFc1lnyG=2|8Nxw)BZL z*uH=6>F6kHJovpRl#P85-;7yc{fU|zBa zYBcAGJ^7p(xeY#VwsybR>S-059)oOzdTw zl-=3Rs+CPYkYXI=MVZXQ=%sYH-K@ug*@d2IV+EKRa+-yj=AjEpb7icTAgqtBgXHPe z&^!v0##8=%oqNfO9XqPXidW4_H}YHeXj3ooTr?ZFo=~`{vuz6^1a=p>Al$D^A9_Ok zAI=FYOaA?Y#L6Olsv0l#fXJN3|3)L35(LHtI?hDGY7`DXGxsm|^F8r_ri>Y#?rNR3 zjC+dqd(UATk&w|;iS5tg8#{hhI3^yoIXkP-25$%Kx^ag+BP-tUWL^fymOAxumJB!% zSGGx1n;03$UsRP}h^lOv5guV7CL(;`Ay0F&ao5I{97t?cCg_({$#Hwr(s0+~qj$dbxoUriR<0$##Hk(Dk7ZNE$InGPd1%bv_ZY-rbKCGeDXV4fmO!=0f?c2Uc3Z{^; z701iUTl*)wyvE&M`VKRMveyNU9f`Z3s-M@Fs1xFkmIb$SZg*c@v}TyXil>0}T|KgM zsq=?5vmn@t&wXX%Ns_-3irGr=YGReq3*GAWF|oB}pmjdRR@8$cv@l-C1H$t6TZ;x< z&JK3y!w8fF&#w~8%6Ud?u6l*^6=abR&BI|Y$WG({8qTj6cy{Uke8#23XmvB- zi2v-i${4EY{pEo^D~-4ew!ITCEia{NE4fIr90ly1uG#iuN-_7>br{q1r)(5Ow79=e zdeJw28;MX;#tj$g6~8w17)ROId$^N4&nsxySx@Itk*0eIS#`Rpyd5SM+;-M2S0Btl zMW`+4g;`KzjAv}#i?4D#{Trygj|&fi#pWHh0Ra64%l2_|%CCw3YE zIAVM(pd9Xt2w^Q^jA;{?d+|dKV5*DE(#uPw^{!rtde(g3_c@euY%Hp~Ox`_w&vLTO zG@An!+d=);u7m&HYDRx|Ds-fbJhx%La3Aj;S7`rDP7R4IJlRTD6`EOSU>0MuV60AA z-OEvk(bf2bK6*Pya-fxdfk7}LQEZYFDl$uV|Ke}7-<8Ym$m^Xvih~55v}kRgKRQFo z7bIN~BYoq2YnC24>6fZI3LWC`ViVDAmKD5cS!Ob&nz$34#}ows zWoqf37&yd$e{PHNyS0>9m5b^O@-x3klygxf;pMhl?JDmBWfHp~{qlLHd^*Njm3C!c;c{3Q+IFLcqoE=I z@pJWo?S-fJ8vc>nig=J7^Xj!dB2q);A!LOa`1b}{Lu6B{Q@4dc6MD^XpX}}rz?qxu z$h*?K(sCo!DT>;%G>CTJkS7bYtF5Uhfy7|+*t7XE~RE=~KA-$dy#&AHf}OEE@iP1&|RaGVwa!@&+JFMHRxq0sL45&M3pW7Ho=+$ z?)0*|I}>NY^5JIILuKm##WgH4*tf`D$v0Pr|@%W>Z}D(8eveJn+DdLe5tZ?_s=^`;734uI=QwW z@EP`cggM3LS821}NPN^grPB>Gb^%9{c#aY$dHB9EM)A=*-;L}P zdKCIP2_FT55!oB**&w#4 zzlTct8v?>w=kv2&K!3zq__3UZIhDWTk~EEH%eL`94eYV+k?Vz6jgg&q`pBDNgXxJ$ z>koQ)$~+XoN|^3Mj=AR^G&e%f_uzZI;l}_9$;;rsLvyF~cvycXc^u!+J&KF>wfRWZ z=(DkIT}li)zAXfJ&KP8`dC{FJ+nIDw*Y`4q)Ki@_y!mwR{orfgGxXFufnJsq9hG_y+o`OOmBb3tfp%70J7ns&+1^mO z3yZ*ja5OP_)AwbcyLpkmnTdlZsiWVPG{_`LH+k1?xop8B!lQ;2fl15kyC0_{@y-SW zSv=Anlr(?enM~pzy_n*TXdmA2*(fnB$Y0dz7zLa4r zmFX&pjB9xgg;4&~!jfFO!;(IKejIT)L0TJ?5uB4qIW@zhALCA4zVA zxY-W-{G9gw!+S-41=h)UpE4M%<9gPlPt5JSTas=jr8DvUXgNA<9^;+&SZZ#&^S~Lq zf>)m6&7DeWiX#O+l|Lx!n-m7Y8}2087q&V>e*zz{c!?ucus9FS-Vtc?@O`MhE-HVF zq+mT$w^19ROHGopsMo4HCt&i{b=ULd4BNe2Iic(*A<@5Qo;AZ5uhu{GZ^)4E8^1T0 z=O>GneM?k*-c@xJPB`x^$=Rw8!2KZP&5t>J$cKwas)c&Pnx zA%Bn0OY2nUNK-SlBXTM&johtu;>Egcj5C@{9v{Z#*&tChy)vt%F}9#QDd!=1Ly5V% zsc0g%^JA>O9j6M}(7(>XnV)|U{hdy^bLR#@?6+gE5t2L!ZpgtC!2kPb9I{O=kodbz zYPkTcoYp8Gnj(C>puT76y$t~WBEI%n=@4b4+o{dlju$J<*V9grfPd0=pHtUGu2z2U zCzKC*Dy;t2bXI_NC!p=*cJNa> zBb&PLO2hlt<;uAAOe2f81jjsPH>Hfuz9pA2f2}jXWcDqYFeMq9KZt{VYi~1zQCHmd zCn19M#x82f&K6y-k2}5Wr=(~mrV*x(qtONRhYyM;LUR{okfXlJGR}dRZtx*R2OIX@ zCq|g#!zLbhXHN{*%x&RuABNnl*wue$q z@?;i>cWHoXtd{MCy>mqn*4S6&x3LoN-aw37nrr~Y>3RWWDaHV~0fsYq&3>p*a8ru8 zLS#{7j?LS3ROiWiwFRPRP;*=rZuXjR%0NEys4mBId*I>fKMq+jocw1a|vSR&(0@Ci$#J=ie6G&m+#YT z`z(d**dr=U<|07)m$3<5lh@*$wQRcMx1}n-_G^kj*B=<1681L}hP>aBUH1o?!sYy; zuQ6l(N5LCV@Bg7)dN&nMTXh!!@_ADQGY>AGxrf^m~v`e_)=bo?r zw^tRtF}m{;lZl^;0(q?&MTV1cx-I^UD9s)|0>|i^cdad^`GDmkJK5v}y*GE#9&^+7 z``mVl0_qY@-trSS2?c0WH*hqa%07krMo@4B*3R^iRk0qaxTW>WAt0HlIhZG`lX1~F z4iyolTaqEeZ;1t##|<_&va_KJvfw{c+B_kNLF$)cJH(2i<@tJKZoF7qW^H2^k|uPk zls~R5Ck~=Jim8vjVA2ULRpDJp1)*#SEW93dh85J1j<$J+t*v*1TlMdOz z?b3%jwG`3bg9AI9`;3tjKgrJmaw^a>`f&tn4YzqGVVZ&Jpw-yCDh>Z?xXA zb~-8x+{}y_!uTSXS)gfCw|?2#C2r5-^20cQr}2Lu`Oad z0e?lxBNhes2dv$F;3N0iSl z#^`&#S5A%)TuW26FaI7KODqO}8fuE>NL?yr6u(x-I!(5-;lUO6olZ{m{kN6jkZsy% zfdOL|r;}Ngp^BwE*jC)$(q=cMx0dIR=n5v4h{RMby0s;0r ze?tU@?#p4S9p{SPuk@ArPpY3#AL#I^fbpJr-Uw#SckOq(cIQ8B_LY5;0vi$ETA=9_ z>YLE)Kt{g-yd-}1; zJDe@ZaKq+nd12B^njdoA*d8p_D6|@ggg%l+YqeI0JcPUO9uZOTzQsI?U~C09JCM*V zVvdujgWdaYH6B+sqhEa zZWR}HB#o4?Y1LZ(;fExT6L{)6k7Hm0V}vb~@fD+a_qEnqZ|j(_jCDX|M>Po$zZ%%5 z4Ir(&(U4~v;?=VD-vp4ca+77Dpm&-1SVVfiP-Jc@r)5OBx%YXR@P7W&z8Qe=y1&Nu zJgIUQ2eY47=)CVQwkkgDU0^T3j9Pkf)@5wA7{xX^i4l0Wg4^Gg5xXvbA>hNE~Q zDp&o^6SnJ6+p5ogguuXVObArAz`jo`$if`JW0%L!`>CG$yqi2u$VcA1Qg8ERqRRJF z&6scn#R98<134R_7)Wj_-j_@|Ltll(ngOF9zn#j^f|B7JtV^W zq9O&ZP8QUJD3msU-vqz3ygIZfI(-@NIUr#M7` z9*TXX=f1=j>bIE#n|K~2-Iv}WZJmN(tX>X>{_rUNslFkv!FeFRHeQJBBXXo^fOae_ zcM(pdd0MU+owUXlD^moT-O&`>=vCf{n5vqZC{4B~h@(2k+T6!0kXTC?!2IQ@Nd%1L z5k@w}6cUF%71zeuJl^u_Fwr5*6jzDPKahuGX9))pE3psA9&jeHL)bqa@}cDb^5r)| zZ_&>Wq4n-_yNH9M<9+nTZ# zj+(CPoADVcNyJhdMd8vLLkPXfflTW^8je0&cmf!Igx!U_sU`nnZVBE z^;tW#)%{<)Gir~KfbxUsqrJJxoI8xZN$26nt^VrHNeN-a4}LkuAJ|WkQSFhZR%$=h=YSE1cKi?`MZOJJ66rMV0V&z-Ej*ovRWAC6A#|QTLno~E+8DK>F_&y$% zE9K0B2%}f>_`8J1qYMzsT-!RhS*b+@U@*h;@q}AA9+;%z-C++E*mW=4{h`VTrvFCC z@2k>_jNKQAe}Tth-+kt~mjj{yBvl{uvofAfj#{S73l=T-8oL3AM~#j~0w}wg*J)+` zSmQ<_9s{t|B(duv3tcbyk`#$IEF_~xhw%(z212H@_wo==6Vi(Pe9L#ZulUMrAqqWu zcKj+oUt>(}MNkU)yP~@!Z5&h#rXCP5NUeZ_R8mfbTs|L+r)GtHr$k#J5U2<1+pON2 zoycYVJQ>vgL{xU6!9isHbn9!8X>vhbMasuX*`nI&qZk;7ej!CPnlG0b&Wd7UDCBvd z{}irN-$ozSvv(Jyi{T@uJ^!NYfoNmZt`YL###4Ah1$kaYSqB-=H8NwcwqdGL%2o@---e|qPKe?kzOI!M3bky!EF-Lbil_@(z#b6B0+RemlioB|1aQ{Kq8r&ULcdv{ z!`5!WorhFw5BcY)46f9C6PKkltlw-%qPf~>Un_=9bk{3ErlUw-bsSZFYe ziEE;;aM`zvY#vtTXKX99(TXBkUvh+TeV;X}_=a)}##g(b8_)0)2|JdC@BfPjfvK z1Xp|*ex*M30E?xiIP9_2qpH=o>}(Tv9>}zkv-)+2VO@p&c5bKHJ(t71{OKdpJgSsM zOyT>;>NwStr-6>=#GjUI)o;rjf{5ub)mEr3I!Kx#umyvR5E?7+mehVf1tFMr}z*pTDZ z^akzfPl;~`lgl5$FK~tPxAIg$H^vRnWo&yTtMr7&^BGDii2x|bes2+i2I7HdB=iLaGrgb#$wpz`1 zG&{SSs(DIzDT3Q3q1Eeq_MCy{XbqN7eWs+%5Jn2|CQKy4T6h!}54}&Vj_a$`%r9&0 zYw~WwEa=sNL8O%ELMN3*(`r_4!PUBG|DOM{#f3x!3WJ2)UWOfkP;&HL(aGC+eFl;E`BtuWWRZEiUX{ZIb$-HQs5Qyk?l>Ez^aAM?ns;H z6`_{RH{1a^+U8HsLA#nL)o+epHa*Y___;^_B%ia?@-bTGaKV z(OJdG_yR0T>otle7jcr}(Sq%`uRAh<>@t7-!E>3*@euFHz$+u+|FJIC`@}NvY{&42 zLiX&t7gD~WmEx7)d>*>z8f+dKD4m}Ryd+=4+80icD zr=Kuqc>lh1AN*<;DSE9*!9ss>%gCOhB90d@m#p(ctA1Be5}DvMrn?|Wh}x#`hA&JG zqTG+)$PA}ozKg->GKW3rB0~W1sJ6|h=S;dPea4qC|Dbe{}$(+&~!bqP{k>za!|nv7s@W@XHZm z>1r&xW}v>QD7~1mt@w7r{*-9#VJ>k~N+{qbA9HrHT0!{cS-Wd#qZH6-(`FQ=)H<&O z$;xlcL65|9xnRJ}w(poZ`?xYs<+5q65i+`=cw?^$@|KMbEH1)vIkgfG9N%DLV7}{4RSV9SZN3*mS z+_=FtzYnrNrd$G5@+n|W@58WP5BhT-?52k!buWy*fm0R0-mlMQvUm4FdKlP`kpuE7 z#ZA!_4m%z0mMRaI4bl}bBZ562R0I;|D)RxL_+wlkGhP$w)>95b(xgFN;L zRo#WYHH+!lPJ#;qe&S+#>Iz2+3y?GpN#iDM0*bxZI!pZ$E|}$fxoEF2)$yOZ$x~E} z)YzWz24wHp$?-cvnt4q?Wz6vfxu!ohL$&jAdEKH0_pSY!NFc+R^&>cf2PoZ z(@65_^AFr#$F48LTralz=AsOy0%6vCH~SK3F8cMaQ$qI#T9)=ASkE4S9DfxUsc^G> zOD+Uo+edN|eaF{EZw4ccW(GNoU`3x65%bxsHBR&;dzlVo9{X3#$03t%j;~+lLm$ZF zix^w|SD65ZDYlO%cFUz+VnX9~x&`jP<>FP}Ke07T2e2UBMG_;n=pKK;ipod>1miX< zapi~@28KE1Oz)IJsPpxXNySH3besGV_-BVDlRxGjMY{z5bCFuCSndMr+YShxvIf)4 zf%0g9$Jr_I#Jfc%dm+Hr!DT#y(nVu&{y}At;En~IAZ0O)WAVWcq~k*`;kimmr=l;v zJ{lh}d!s)Y1r_+==jGIO{+q!U-^US0o4dBN*BS1X6wGjW7vasfU)3h;i+pd~g$Rp| zaKY7pZNn8x73XP}9KnIRDWuyq+LJU-(>&320L!+trTCi6G0KtfALH7t8|nT%G4)o^ z0)g_bys_P&hqlPM@hd2|L2v@d1^#Jx{bx=s|M*U=RwW4A3th7UKhymH7UC zWkd_EeB$BEtBUf70X&8o#9<%;lxfsWSvCb!Zp~46K|j;YwXz17@lL zTyS9e4j0M$-~YNd#fc}p>?`L2&5WSmn67$zc;LaSB+%Ojeq5G0H63x=W!p1gWRsRB zCeZO*vZH&oG1Vw~wE|hSdT-ed_DE1oXJfp244#1Ua&*dzAZgM9*I&dzg8a4^X^{H2 zL!=6YKdgIP5or$j#J=Oa8kQgdFNI>9An0fZBb|LL`GoxkT#06#>KF}vuh0Tujn z?V{mBXR7KZ>hw=4eTs`8y5r)wBUb9*ZE+NZ=EH}69IX}y<8NW##9=;|l*?Fu9IHgX z;iaFFIr(7r+E?B9yJrXk?vWA zMIoJvWsybbU7{u)+yW)sM2)7{`lT|2FSHrfg$!euco=;XH}PZlM`dx0@?gxLbjtjW z3|GV(2a5NbJFm_aB&-JIq!c4VMN2CXp?|T8c=V?Xc6-&;YS)qCsU!Q$0CMf`Z*)|{ zMlIa+2@OKu8DRwyFf>W|`d9mN^``QjrcuYGO&uOtjA_M6*ibfaTZ7sEEKeT|(y0!xk*?#p(v zoXXjcRnNPgHEv(8${puk9b1=;O8`hs%T8>P2+4K5S>SJ}Oi~^Ly0C9$aU` z{%3tWoFVYX2<#{Atbihs!^NX&Gjvsm?OS$@faJ=U2GurK*ImTob9cBJ?}pPlKdmd}=u5{EOyzYQX}I>H@Lc-0H_GZgo9KX^1Z=e(sHKy1DM-awYj z)dC|A<@RP%c37*PeRrmHTSUuh6tV(hRl3xnKLhgi0usb_^8FMYw8>iOHeTK1IxQIV zZ1V+zLlWe>jGb3B_x;J{e*sMpe_ws4=en}O@ z0{lux?=O<;G)6XVnY=tZUeJZ~{rlUG_o;WAeLTxqZoBxFfhJhZg52i57{9juUiA`WnBlfXW2fP-*36!(^*G9W+%tIO(c90oh zXI%D}gI~Irj%g^PV_M2gRiS-^2+LUCLQz#)(DDIY?J1J!QmgieQ;J4w*~&c)GY$01Km$9F8!4XbFYQl(!yE zRWmd&b-SSdlF=M{_x%syyWf_MMhk2rXLX}IUd`tJ??1t*_Z*70EG3csTgTku?XPU^ zUFs@x1J>EiY4qfKx_rI#(@0<4b8V2@>h>-0BwkvUkdKH62lgQ~s2u`Kzf)*~_of23 zCu=E$BUEfxT2?XlWN%3^$L~I6AMrRiaTR_T-V%UdYKu`QXY?I}ptCNRt>jOk_fXmY zdDOy9E}Ov*0mB+Cfy?gFjIs47rvhKucV&v%;$leo&Ii2p&k+&J4V3+|%Jx1sdJ z<1|q9zQylo(X+lRbUKG^{^Zd4->wxmMQy@CFX+|0Z83n>D+Z%p&X=Q<0(Fvz<(vz` zNem)~I}*9TsXgn}8f3hnG_aN}jiOeA9`~mhK5+7>ug@EjU}B;vB~GCPb1uosO(Xgm=I$q}L=A zJ06Ld!(tzl;#nc7#JF`Mm!oEFl*Zl}_j?uo&Y&5yg~IiVQ0M^|XM%`zl$}9tizTIL zm=5VPz?&Usr} z_^3W^H=k@Z?=_mR{G62w6lp`JASU#`N`eYv^Y2Jz?TOoD8YLaQ-Zy``A4zeKpm>2r zD04!-9c}X{qUbo~w!U;2JFT}n7q`YdP!2~AqaZTF%6((T9{O-aI=@F)A-&|jpx&b!%r|i}ggC$l2Pdu45j3i|_2^{b{uR3K(zvG|Krb`{dWnDQLv!!)eXyR&nZu&8C3@*Kl1;zIp3%fHg`UjJj4U(QXgMq4v898ET5M zA{L$@CVB$~%Z5%lvCg!dNag(p6?9Yo{biCPw0c9oG z_umYL`?MW5yWF?`c<9dBzPk_Yz`D)JydNU@mK8jY#oC$sJ+`VBIoV@r)9e6dJ=r22Nt zZ@THokS!lLJ4O+* z075Q-Hv7lq2ee=Tvco-*%}CUvU8<$;6cZo5$4so)JQh&x8zN7u#3;Yg&x^sa{?|Y{ zW8q6M>9)icP0_VT_YM=^P5Gvk82nc|mE)ZkHHzUE!@@1=SzMHlwLfwag1v{w@PUzn zrcJihEBdkjnH*}$J5v9e1on1o;uG_s+6vb>b>*IkiBR&)90h!R?|^E|>@tp2dz9@LE_i@j^77l^U&yl)@?WOfGii%(dY{OaEdJmNjlYvN0`6Rdy<3L9 z{Y~MJlv4c$VA@Ul&;1E^1^@Akf7{VV8n2JKuCF&^D1uqyK2OH4 z>8hmw$SzzYJ2Z?hgMa;AIrYCMJA{7tzIvcHM;-^EmwZ1KUKIN*ZzS?~lfM_;L91Ix zT2+?w^BiME0RBOX(e%lvd6Z+gDSp${9|vy2bLmV`KN6!+M^ZWJNk~;S731e3qWI# z{ee;=x*#JUPyGj4w7-xHa^ga*)ajf{Ir_Zz^S3g;ZgpCJ|6L5Pipfeho;dl`rGw<~ z=a~W6*TUGo>JfH+$;IdRlRz1b#@diT*_g1kT8B}L<61}B(=ookO9GREz_<=)t zqF>VCUYYf&1xMca>v80ErB|DOBTo-phEzPB-S64JPVvnI-m(_hUm(qM3PP?Y`a9}h z$2omKBlA1abx!VzF~#7&<8{KYL31h_Rpq-i0$1ig2IcJY$uR!**cK-c_{vf2_?7yV zdD(+U0=z9t$&U-G7BwmXl#wP_sZQY*^xq%TkM@tiAer}n*R)>tKuT-NTA!lUqcq*$ zxIKyooH7*l{l{?%lmMO9BlC=79-2GxvlI+BMRE@o*tG<{CZjrb_JybGcX>Od|M$Z< z<$%7T51uCEfx&c$*FOpVz)}ZuMxb^l{l^OQD~C1=uL~pwRYFiN4Lewjbx#}dZ2|n_yOYRzudIECz%oCR+!uP?J1cqOriC^lf4b}e1ZWUVk}!eP>WZ;Q4}u*`r`w>{&H ztPBF82~UwkRlR*kL%h#EZvLx=%m9e)Gb?9ZTpxFvwv2ZH6W-TBwvyJX zCpgo2*+a?rwJ$*eGNR85HCyzM&|$Fjqn1%S=Ghj1b|nD;Pt1>nE-`n%y*Ka9;C=ZG2na;-q9Fd1SR931gy2M^taTEx=nb{&e2YeL)Z5%36EW+Bd?6=sw z5X9Srn10%!?9)|rMAOHyTed$=L*k2h!C@-U&pGdgs@{MW^_tk!ubx2AS7 zWmkV~U^0~ONa%{It-$dZ8xFbQ>tyYGFX8 z*U;AFFSR<^^zz)|=E1k;iu%t6q5CSv@ZDGP+kXo(D~6G`=7W2oL$@8P9xOC`HR>0| zk-j=Gc2`~Ml$zqA#FF}R5T0$=JD_@Swgzx*C}Pf@>M(W?@KRc>z$6;`_*Gc zHUM8I(XWYtL4W*~Vz61ycu(&%B#w-~KXC-?lmI?j?&o)J(ze0fx=`#18ONS2L@Nm` z?=!LxIJKDfbSS`)x=QPKlHkLFD#Bw{iM2f!yx9hKdhS7!WcwZaJRtGz!tz8FB%KzX zdJv;kUV#xJZ8<>dVGq6bjngTaA?iAs6Y2QJseSdxpFrXK3tweK0~s^EJ^_q4h(-Lske{U+bOu#a6T?8KLyffpZw$gV=8DnNF@fPTk)p|Fb|upD~zbLJP4i_<7^BW%C%o1~@^L z2>fl(lN61@*r&NTCWBN&F@VU^dhe`zwI8(4Fc7MPJ9#!En)8w!+QgJFvm8DR3bJ2R zZc}2+ZQZuLAID@xNkKrF>!FH#PNi9v*Q;6!Eo3z~zoSS@K3QPi0bN)Oe2 z9{*3j@%~F%#*~L!o96=~Suj)CY{is97zKPn!*r|Nl<4vBzyFSnoZ=6;S3A~dC#@jHmvqsx!4p*}P+V7g@^W?$L?ermesK}_Q`QeItQ z2$XxO$NTgv@Q?ku)VKt5W^zJm26qsTy58NnB8Pl9z1lHeY?7vu1GLW35() zGVN&j&9za@OC9_HAY}E&9JdjbQx-#Mb$Mj9*KlRLa=viBr#v``ibu!K0wj$ciyj+4 z3y{H5M=}1l1Tm~$*y#6l>U-@Ydn%&OQeJbd{DIP8sRd7r$(K$Kpc*VP0Rw&@W5)vu zgyT-Sa?!GsJsSnQ(*f5c?F+uWqSiU2n|nW76jUw^4fz(GL*ZNfU;eVXg)7+Qs68NK z*-dp?FB%A%Se0^m@q@zz4TH=enjd>r5wuQo662{xDf%#W@aFH1BR6c92jv|7y;vW;oF2Msb>Fo%f6l_YGW{v$a5i0iqNzmDm^MX1Y&$K&5Yp6ooBcE+AAI9 zd9VA5VulL;u;bl&Zy(vmdM{$^yl&;T5Lk6b@Z)9R%*aP+o3L2^*RWmji@)tXTc@$u z5jM&=5w~mWtj`x&^a24mP}jxiX#GV+wMW>Z9puMwr2okB1Y^jRF*pXUX}G|6+9q<_ zwKpY`B|HFi>%>C@Des(E1IJ}fv6>6AFMoD*siN_%#@~t;$sfmNwbQ>a~`0zaiQ+)ib6;*Xy3-H;n1BK11Ga&_I1Sw z`ZxKR2vM|cP=qQX1zjN`hL!^8LMCQ`hH*=w>0E$ z9KMg7!>C8H=DwH}0n5SFk&WU{Jt z=s780M=Sw?VKQ1HgJInnscm^KV zGdJii6GuB2{@1EOEw(MjSy(*NnycS`ZsJ{mugR16<sJCEuMD z*SE%VE%BCa=;hl(&@bsHm%T9AR07kLc?}GaSZ3rWyebMxqVxDG;T_}LN(PtcX*UGm z79@n|DE&?4z(@a27t~{J^=SPwv)CkCbKR69)B#P4-in?RjSc>sZzRJ1f48P}xVU@f zok>kz7aRJ$-U?->wla_tc=QvYeEpxjkAwcEo0WzhWjk2!#|6VOd=M2QeXQTn@yG8( zmejk|fw+NsQFkpfvksFSmW*@c_n9PyI3|vroF`Ek3(eOfg}xaov6@#BjhoK>x9_=t zs17XBZc4y@W8|ltfndTVIOp0=mLE=v7&5l{dF+5gc-?&REsy0IWa7?1JWVHtwM!v} z**#tOSBuq%RBjcSb2Tfn>p&K79qW9!Y9BF>X?2{4fOi_j;iV}XYSG&RqP^u0Q9(Ty z%fSESRm|OD#EP+B;lGB+I1czhUcyb;6x>8*_ybHHDFPVphCVY;PLm>E`)b5j!P<=3 z>PR$0<2s!*xslj0zxa*f*_NJrSrSAyxjuf$gh$HK6?gpGs2r&NkzKxiu~hsnXFvg6 zW_!wS%fkOYzp>JRfFHKuI@*sy`erlgW6?Wp;E3eR0rqcRQPtJ~xA$g(6AJPTWp}8D z*7p_HqB`tP4(eGV+g)s~OEvlIFQr>vYW4~ZAG44(T2p3UoGh*84X?AN?W5U|orL?v zXP!cdindHAexHqOswR+DgK?x1wxjXoocc97@Zhz%)o1u%#$n=e39#1aP{qGUZ8pu_ zs>6dWGcQ4X{5|zj^?^C&F(>K@6#%5J!|FsyA;qfqZa`4!LkL;w6*RD9*YCK$d)SUy zTB?aLXIj#*f7wyTJI#<)>Y;M}4%F2aYlgM?3_PLVR-b12VbUJv>)YAgZ>5B&>}=bR znOl7EoJeOoh*&v7YbXA%W!Lk*;6=n__#m{t%rp+hGknKIm7O^at8U-Z+K(Ri%6g zV@#dDCw1ar2qAMsCdl%9!^nCuxd;R?IygsR-8qwySN6LLbnVG1-rMxZdP;OFFLWnFIntB>IZlU8Xjmk#{B zmyR9Ebr>Q?y%EupXx<;#?hDHQtIP0_Ilx`73GV|st3C` z^>4u2v>Y;0GnE$fJPw{-3b)Uda<0O-2mUuBkgc>VJ0c=B*Q4Y%ekK3MQ{#($Nz%SC zIPGKDq0P$<1-lH;{#KwL%r5*#%~v9(igds|a{Uo;@{Qj%Lce^6ajXimhWwLsz1(5P z$~!B%l3fgaeM%qAj_SsK31A3VLUPq7Q{bdQqI1~)*+mL7-&wtUYLf{b!=ApjWx)En zOzXayc*Ppgsz>_6;$0kw*eWj`y`hQGct(W=YU9IJ$K;Uz`lEw<&C>a%)WQrd|Sx<{TRC!5V4@%w{eVTL>;A{r+Pajc;K>E8^hdjR|`MS zN-8;MLoGGf^V1v4r_embV_RFG0$yT9HKzRhNZ zG3x}z&`2_)R+LudY9Gu}_}2y-xP*n8yLJ1W1KbH8&dqeE!dxlFSrgA#Gn^y6izfoT zGn$~flaFZMbgGHCWT#7AhXq8r%&u84KUYQ?UY6RW$GSdo@O~_MsgsVj$VW<23D;J3 z>G6MjFdV||sJW=jmAQj&8*3Pw4kGGC^+U?RR{Mh!nt3;e3!*}q;7WO#S$K&_?Y1qy z?l(!hZ#9D^*)lV*9pV)!Z}9ODso=j~W+3yj&W4oW6ktWmZqf2^1;vrc2QEBEXRL%^ zF<7$iJ{yU(sre79(3U^u$Nzky6$Pe#kI9<$WltELg@xMP^UxV11eyPJceNTpTHkh1 z^7P1N><1+=nZOx`AoGaI_lyPi2{$|3nOdlQD79t39Qp&bOo!J5YJ<5oSG zpP=;kYLc9Rm~Y$OOXYtO(yF(-D(iX5yX1gFKs|cvn7Z6v!4$k^6k%52iiO6>`{#-F zV*n~ocRY9ZDM`XG9Zufe18!>pq}J{Y^C zQmh^PK0?U}o1H)ME6xgZx;#z-K+(fCERd}JC9n4Pn|aM#8zkG}d%D=BMGa^9|*w)Kjz{$?j&%=U4+SgxnYyb+ZuQFmw~b|M}%rwqjc@v z{1y!l@AelE8=?rEY`>N$E`U8$HRsvoJtMnP%$z3Io4lbxe#M}ED5Mk8K|8LKa=#4Y za2P1@jJ}y9xx@|D^y!yWVeXgu_0#;Rm`;RMu=x+(Lv`=jpwT!~t1mw!bJU-dcfUZ- z0nu+FIad-etliu3cCxJOv`m0i)rvIE{QPH?pG)MY*Hq8?@yplnJ!^)09KX+744eFo zozLECk9P+UN29!cIV6G=y1kLk=V56l2${H3KM$lhzz3B!DEwk;x~$6XXj?%*V|+tT zuw>Qz-qtrjaM;125j4jrw>4}k zPr4Ks5T8U*Wft;cWSE=?QVq+#8FC^ayFTCp@S#unf=J*jcR8LCTs-OSrG)B)mn-&W z9#09y!muOjBRPJ5p7hi|ecbQ$d|~nLVe|@)_1OAJ10%aKi&^vm)NY%MFLstZ!}bSs zr3-!~Xn=-3$^Ks-_Ax$s->~Y@ycJ>3sLDsNRC&s)sK9MCC|Uz)GX$)$?VS<7A1Um{ z>BSe%^BU~Re}4oMz0cp#%9@@r?4au8^g|ZaM=y4d4RWQisO<_R1FG!f&twQ*sLdY| zTd%|1;*lGn2Y7iDV1{BE$I?$B!6#CbxJ03P$yNj`_#^wD{F9IEfrl|!RtIL|U&Xg^ z-e2R-$DmhjflH!XGHXjwhgpgSA$1cY&9&=DuAXq_zKwh`vCrSpOnBbr(d8e;N#c75 z4HF%>xf5mJTRT`CVr1VQ9-SF}a_3VH7iMXfD=a57SbtKXmPOIePnXSpQ=$B-0*K_m zn;}qS&}wYKa^d*xTgc$s1Z+JQ4J)s4eQ`Klt;sqqxP~Y5btT2dit%j(8E8HEYOgAC zb;SQ`pM`???&IBM_5a<|IT?9Yn>aQH2!4$!4(2IHP8@!$0t6 zo4}_pUx+1NmB;`qT{z|RzgDjE*+|Q;&&tEu4KAJo-xq*fXI+(_dUs2`qbHD7*Yg0M zKK&fn`7k2;j9IkY zW7want8>DxwP;fO{4y;Tgc-W%ofYHtWtp1o^QX+?{C>H|G6*Eob_{w-kj~*hq}S}} zU3RrAEM&vJ{8dIwg{Yc;lnXWwdsh{=fI{%oU?u`D&*L;OJWosP^2hXFpvl#ouzqfH%vI08A3Y+1*4y}CMj2ioo$@5x9-k-zaJjuU4@np)9po+iI zO5amBAIJ8M-*V-rpc0(-I_LYSszck>m~(aahduu(ZF%i1`m4{f^P&9#ET(0-ArJ*S;{Qq>CU7;A%?(RZ zd{ea#TtAGzDYvls|Lge*V8Vx!X3Xpa$=4c5#15T)`hW_Jx;Jm@`rgLTA0N=yEsk@_ zS2*QK%7t@h9$+)=)CM&W1w1-cG?@#`A9zC1G3on~0B&``GYlpGsD4{~ti%H{$}TNk zY=N$XS;z^D5P+Nf@tV|wHNi14aE5`eY@kn_|3rbr>1*Bq;~(^@S)v>iip?r1L&ZvL zL@U__O?qb!uFG+(f(yy3Dq-1%wnfD7*HrKd(@Ch5J;Goe&IwS&;fSz$KUrabo%191 znS~iG#y0}B5oDizhlHWYqf+4vj1{?A4oXETC>AqFzPA~#l6p)fk}OHIjfO=61*hET zO_Ms5jMH0;coy3L7Z6gU}q3-m3oKB-*cM19=sZ{h-snU6Jqson|LyTTSMD~F{ zn&)AW%+*tRA1ZTDqqZVTQS%_(0=x!feN+R@>GD7Kl~8o&>CwEfc;0k7KlXr@VeT7F zTZJ%lbo5D7+I;?v((^tuBa=?&d3?}k;fF*Ee5EL;j`T3W+3N@jA0@26tTOS$Y0w=Ltgbj zvza<-SkJt#b6FSrKp_y54h2j zc|qXpS}R$2THLjnC41SwL=%DMp~1`y5FK3iLY@vBOJml&s--jzn;y;-w|j96MH7Z= zE-aUifnG<#3|Z{5xz|R|Q4?=-&>1EdxO3j)ZK)eppi4GRA#BfBy=yVto6M6bialIz zTVLRjL>>`D+xvVc-=vo|sVHMo44=0+A@b=h#&*Z}{zE8s{6SyWBiTB8Yz$X0J1Y`+k`Wc4F zXGV;1ML1YQub3)o{#|}29v9q+@EGb{CQrM4Z z^Xza)w7omLF%+^h0JpdBii`=`H*1ft8;U05WDi`p5n__vosF07}xH@d}ckI+tAezu8D|bya1v+g_G2Z~;jU1Wn zH1-w7kL}Xl{WNp&kMA0ivm=}$gc;B$T@Y9WBK$IfFa#(=SwG}`4kZ)w7=Qf2Gh)+5 zgQYx(1cRlRzAd6PL@iew{G1JHnD;3o!ChjP&1Yfp^x znXI#sNC9u!I*!@9#e<*dikZ;o+(a6iKF48b8t#)s3l3-E0pzlQl2#Iq_ruMx2GMqM zlRRlwad{q?y~&phhB~T8-(9rIE4Kd zb^DsQ0l<)+*QmS2Xz>+#ba>RHrf{r!+X=^L6$>W009xS_?@2?sytiEDRR?9O(sTQL3p|X-hkcQ(sft>VsTFU?g3c|x4?o4^`rjchi2{$y$Jnl1b zH@7`bRO4pt!3i7(-Tq#;s^21TFr^C;7=v>VD1c@}&m7Gtq%(w4 zG69$M`_}{oM#P~XVwqwMb2c4@g)2av_&qsFw!7(fK1Uj`tRrS4&Yb&kk$cA%%3?9Z za>dv#;v`W-WAFr!Ih4;T^tCDM=Mnd^>i`h1DW9;O6o5t6D1$F6^^FrT2}Jf`dyCUS z1Mx}bf@f4b7tZ>eqxib`Fp)eFuas8)PuC2qEDJyM7zfY^Wd+z|2e#@uHm$B~IuK(K zLhEbYlQcJFQf@26iI@U}IR?Kf>-aL3H53>qhA+iX4`;;rJWI*+RxZ0j$3UT=9|m86 zm|=uiYMYcth{3vi+C?IqCR8{!u9~eOp4TgXErkombR~D*;HIJNK;rSzJd+1T#GatZ ze`+k0RkY-Q3K|>RtiM{HG27$4aQ(BZoC`Ht-9MBKOpDM;D``L14|`4&ah$Ncw$pTE zOALTG04$Z0N!H_tV!R8(K|Mp1KCJ9ZGQ4Z9#+iHdd2TbtUNj1p3)cG#09pm$$M^G< zSqLwmhS?hKU!O|1Y+I2)6`$`<0_lUSwx%F86Gr7|rHsCDNB*rZ3mt#GlkiRB3$8pM zD@&RkBow@XCcXoyk~<9#8sd#7@V_KQRzL%mcPc-%imX^O*@@#G4sklpVtw!`G$gUU zd^(RrttR0m4g@(G3sk^}GXqKF;yzIHBof0N?nV2>!@0ucH-Q2cL`pK0r->L6FZo6M+` zgvpFk-Pu?+y?01SVk@B5b`aTKN6}8(jSxgNja{oG24k~{i~`6|G@=5MxE*VupRBrP z5i#B7j<_sfg_PbSRCSRlAV^H?FC&e>Ju1F^p6&qv$%otZB6YC>QZURVs^s2`m3I0E zxqj6SgpKj_$>BZ5c%TZfQTOo~w`E?e2p`$^M@Ck%%N7mpFtuvfQWqQ7>~)>8h`+I_ za9M(sp&#qK#rU7MzsT-<@A0$ZOg8nGs{S$b)TjXsi?jE|cnK=Ys?EgTcnDw0N@u&N zf<;D}UKO|r9}EV-`P1aT zVq@w@rc%qm5m~fThuWLfLCfDXcXo|9kyRk8yrygOrHT;~@rI1qmtsGS%Y0ca1)3LP z1H{>I^lNT7tpV?_>Gw`aqPk^d<~ob z^^J(;Y}Sh2gDx~NJYaJJsaPNW)KWeRRNV42T#NqB`iV;-rwl8q&AO!a@ukwRF$gVp zbPh(lH4)z)@U&yPUlGo=QA(uzgdu`>ipPPI%&kKg+)_}3Kq$dlRNMWIRPIPqtqkIRd`yu&p zk&0(n?wi?O;rIDTn?qX*2NOgY^TRi4`TKj37@OtHBHa}3ioUv)`&suwa7jH(hiLXV z+al#s46=t`*G?YoC+<N4oU}3+{8zwPJ-*6cM62R5E(8?%tnMc-_p?1@#Mzyov6k5tPJYxdI(%nd-OZ( zOW*W%sgQSWHz}LdS4CXJcAuf|IT&H#$j3hCc+pbwscm~Svn}lAp#TMuzFmsE&3iA) zT@Hmi{)akiz=^LU#HJdhFQebrkL#V#@<6Y5P7>1va`= zNMd^y^FM2Z=Au6_N^s|I6+vfyw%c=yk2r!@?IC%_H%dYu;f08bumroEpJLDI4U3~9 zu;9tqXGS?IwcxpZP_k3b;>#F00&7Jdst455(jjJS|0n!gf;$Uy^f!mn6zt&WF{Z|M zbR%B9E}@D;D9bC36G|VC^98+1lRDF@l_nBh*I#KaCIL^+KHxbgf}m(E-K{fDla~j+ zUZ1i6j7A@*2Y2$KrTzM4(DVfd8Ii(e%u6$Xkk2uYubUY67n5Hf=$@{%?fp(z)0AH} zzYOqOareI>d+_aH|1<(;eu~}Y1pbMtLB_~ZzKAdoWY(tV^UH- z>q0|PG~Qhg2V+6t(bi_F&x+F}Yfxue2-k1WUtz+%JWSyuI@{1M%1#YYN#jbs4Ge$Y|CjM#XD)>mr4*;Gfq+Pk z2`OpIu%^R?va)6Y9(cX!+Wn_4a`FqJZb8y8BDChX=sI8L5m&Q#t8JeI8oz_Y9K@^| zral!Fb|J1)HjqM*CF?A-h#BKQp>9%P?`mV91xaL9JoE}LnMD@H1Ky4X|An|Hel<5M ziIO=e>>U@=BjOk2WK+@dswX*ViCO2gZ1&0ItQ=rq7nCbU(#DCC?$~s^Y+{aXCG7h8KDW z{oREhyBGPBBMCR6C@B-1Su2;mX_EOjonYw>3ZTyR9=^HB_LOF*c;4!>Ye$_lJor36 z*mV;gJ<005%L#ljGeBx~7+BLnDGQ%8Au?URYR=jjsyv_E?YTrunu=d!lPNo)LHH&e z?#e}!(-%|>fwjV(4IUE0kc2C@48W2y`XshMKyAk)Mz-^K=JqT3XB%Z_Tp;@nV##H* z?y!!?hs`F?W)>oiJEWay;&Ua~FHk_@?xi8Jh&*&XbJ-C=Onz*Ee393%x}u)9 zO}X24@h{T!$?PxL@(Sl&J-W=5@`bb%|F07@ev1fkn0qC7MDeT>1*-7HCdNIHEs5Jm zU(r`B?O}3(59`{=`xu5~u-`|m#G9I;VBxhKp6$|F6^XRyvs_Lh?+xu3)gb?xcD^4}U)4@SN_ zC)Y0>9q?v{jb0s3`Y&4O5tw`C6fg%@Xv#z6Z*oBL=9~RPpd5T zLvWTS4&noEaeDy69q}vXKAa#~wng>;ctTrT$WGn6(LjJCm$Qz3rnh`4F_BALxa$**`+VojC~|h^ zed)pfNjBU06Lf96ZCs6mF!il?Ehu|RBDj7gYKRn0ullcsehB)oLzOUS4 zE$@&!@C%S*ZXtQFp?(e@+F1D3)uu(}H2v=Lv6NA_WrG<)TK5Q(V>lkbZ?VPDt?4P^ z!_Xi2heqO3jebjU7wiEr`YRN? z`NU!1_=BEw!7065+KG2TyR28s>IV)b&&hz456mCiUQ{Gu=*_*rD2@M!-}il9@VY0d zGk#zA&q-1b)m#p;>YGi|L0&s0GHr6`hx|(z!LEvE0Z1w)ODTgBCubMCUQ){Wm;-mt0ZkWVeX> zT5b#{4R#PxgDvv4-@<$8KQ@J)^kc;93|P|a zbiYij`MAqDlUt<&;x)9B3bJ44U|`3+LoHsk<$ZvSrioa*42?P*baD!btlu1mt%~|I z_*n2CQ(**9iUm>9Vn_`JF{WuGrCo`dKezaJ{tS!x5YnO%Pv~Bt&)wR6_J_lwD(0BE z`=3Ss)NIoMhiwXCDeCy(_^JC%eSR4iGPa*;JN1G^X<=(JZc&7rckje6AESKVI*|`O z{0{+nGO(ijz1q8vp(faHiFkL6y|Aw`_48b-Nl50ceiu~xT;Rl0Uv;s}uEo4&(2e)t znCGCvwPMi9+|za5$<}=5Vm#IU_Lb;tvZmI{V^LV7t^?Da;2(9jXe3rJ_m0vD5ohV+ zwTte>$BU+Z)k7|ny?2dkOU#*`dH@WEUD1L$ihVH(Xt~6N-a>;&v2i&Gka`YxY|YD| z>~8Ezh)YMx9*W}gCj<8BxbuEf$EkIxi2Nv+3eeZEtrm5EA}JvC5Q1eq;o27D>uZys zegK7BK8IV(EypPcYZmHx7XE6_YavJ(eUF+MqPX|Xaqh7IphbZ_CEI@*$$s|1p#x%I z-0B^sIb$)K^Ez$`3y4km(H5m2{mSN;vk& zRKzXy3PaTt2Bpt(uVX{MY~5esRt+!jXI%^n<>pAw)CZ2X2xk`}6^jHA_8ImQ2XvG6 zZ&&cuRq}pJgEBwf??cJQFos6l3C<74g}nPbvUHf0A;T9^nX~jR=EM`;hp?e0)7ua% zG4_)JB+IW%jX_clPwphCLvKE)1dDJAce6a@{GI>Y36DnF=K+ZE0q`>NmEdRB>$aGB z7+q3Dq`0TbK!b{^X3;sg{K+!DNWdY%IRi-bco2n=o;~TCS-qkkvADrAtg{$JM~|9d zQOJ_~_vT*z7%=6(&-^>`qMt1J0We`04A_|cTFz~zkM-RVp97c8n+8= z@kt&-!!lrUuF@lLW(=c{02R+hNI%ruc#6S?DI7P6jy{jl{z z7-$7o5yq~v2eSvrK`BobraUi`Np)G!^Vfll&a{coWnsImLZsF4%7i46xH|aQi#Wy?3pjSD~&)hH}4qOGJWT-vMHc?9XaGjmEgykNi3OaN9@zK(B-+ zc3t2s#Y4=($lv0KtWi#{%wZA#Q*`dip>Q)0uE+tla21&7od`*N3CBWJV zd+F$^{I{Pm8OIo3dpuH4mgj>G7h|c=lF%^m70ABy{!EpYjlx7TWc#kfc4DA1>fdPT zOET%kCMo)Crt;@JGOO7s)c;&9L7U~q{`xQ=IoQXAE zTI|g9uil7>#pb#UmdLA51cfPeyYfBG~o=goRmI3igP&nuLy1_DQ0>Oxj_u(k{ zDf1JS%Ijeh5ko?rTRp_BKs-vcR5ZDT41HPW+rk3*&ke89dM-9xIZIHS*%?`tb-&hE z=*&HHF=!7-ElhYIUnT>wLUr-eC@4{s9bnVJ7EN1d-R7i;4?I8Ds}p;|oYLiXbbT3i zHSO{pYA3p)dmz}2WG;x=2?nCS(pHL2aaNNUw1|Oi_~iNGER<67EnuYWHP!bR5%giS zaH@WJ^SKMMv-)f=zWd3i^rxtB`=TW$Pv=vwATr;}DiAvI^GB+1>|h-0?p((lPJ34t--C`LWm$UI`7j?q zcK_{C&3D7DSYE>Z#PcAtsdB-0XGG1bek+MNCy9~1r8vO2$4q~_jBe^rA%zXz$ZKbB z&xo6mbUm85W@Hru+GYwX#*azrawPrGdXFy&xK#txj)7xk6gGJ?7dv@Cal=J0Jl<6~ z%q2eD7)4OrXzeN%(>d+9GWPu#iUE{~!DYmmdo46?COEYgba;eg2XArty=9?&<}^u; zZaU`j<|*aQW!!lS=_gZcx+4OCw>RUpYMTB3X!^>iCj2*ELIJ5sD9s3IC8Zk#R9Zk3 zDe07!F-DitNK1!wh#(E4yHj$&h|!D@8+rHp-+N!~oW0pOJJ0udJ}C-{!H;rd$(BqX z{$P%cY_@?7(swh;I-W?lN&fex0$G1-Tk|M>`d$}<-5@(!uNsP)X>73Ol|&4OM}P9! z4lz69^VjKW*8?TT)p4wsaR%>;$dPQ`1p2*sm*$(`wu-SS^`-N{D88mGO-VLTP4#$> ztwL!;+OxJ=0FG~HrB5MP8~aKh+o>Cq<^cNR&Sza**>0-c3ft7p0MudDMuWfxCK>$m z1!;io@+vaMA9*Q^BkMM`_ydz0wB|=@2j*{m2f=KGM%G4tKTKWV#gT1|yj?hE6Oqw(&~1B_#D{RTOINOiyT`5Cs3&&&cvo&7`y1_`G&dI2+h;4Sp#+N0K@ zwxJL^kN3B3ZQC9U-mR=kl3dlP%pW=G3!VznBIe?pkR?@Gy(0;)DDY9qxGZG?c`3Pch>=n8ap9A_?6rbC zn^_=YR=5noVS39MpjYxn@Yi%_|rc(ki>gloZ=qH0Qh%(M0{-WK4ccSQ_gmAPt)AL z8Y$N=7wh+)F5Z3CEQaUEJ0ch($z>Iw|F=ZI(oOWpMk5007B9^kEe_XsobI65j-EyR zm-KDt%q)geX^I=bW`+whPJQliMC*J zDF#xSBgvUSVVf}!V@qha923Z_$oF!`+kDTUj9L~!t~1^~bw;SYleYqK)9a%NvNkDI zw!iF7E6wqGE0`$8%lGvHY$U!)x+`v{f z-AEpGhUYX*DW)j)f763N+Dv2hyQXEf2~jq{o{&G;+?Bm7!D$AI%nRXkSK5Q`@!x~L zhnQvVL78dk*rJ99-5VD-@ol>-IUqB*x!e0`18bK2j3BqJZ(R0*%lO6VpreX>zFf+W|bd_DbX;cyvvf~j+2sw6S}>ZXl3jG zh{YEEk=#(~Bas}PKYe7u#_1^a4;^S)a_`F0uN}+Yr$>OAzjf|5C~jEFU@ER2_y-S+ zA!Aq*{MG}SXh~iuUp3@FSYC*T*PaPQb0`(R82@QywHhtjPKtQHxH#FDRZYSsO{xGw zeoDVKOn+u6`zGA>*0TKS-GE_L)I-fEQ<6@aDnM zS99kccHWnhQdh~UsV!=cPNj^&oumuj0W>{;Xphl;YsJfFz(=m7xk_oMqj|SVvdek|OX|4dEL`*7h_m z8KZ`%@aUv^r`H+IE;(m30wwE`&VB6%I|tF?pwS@Nh<~HX;+s3Nk~eW`i*! z)(Z3Xexm+lTI0CGog7$OVDnh@U&zR7kpePXtWYn9kcN!bF3j6`&gjuMhsEn=7O(6p zipK8NEt9d|COL32E-V$76fb(f?U;}54j%C5p0il2QR)`|p|%!l#_8F@TFrAkX-XT% zJnQk?k9T-UVFK+RIzh5>B!5j|YUu)De0jej0H5w&?)Kan_frD3JwMMq1=E2_S+Y(Y ziUq=Jzgj*R0%t>Z2lrv`qn+WifxtH~i$h-pr`M)6E>yBNI^SwUX4=EwWk!MVC}k(c zv+=w8Q_U9m@6L?;6p8IxFcCUPMIlYM#4#K*k-H>MOH|Dlf8uwO6kr>m^3_&E4B^!N4~!FeQ2m+<%U z=RfW?K2vEIK$D%ub7<65PpCi2ao_q}4f?y?dX>t1CftP+%CS-xIQb8uUynl&(&KJs z5Y~_P_AQ`GKTiiw-!qqYv}ZWY?3N3VHW{o=0B`(pCeQLSwcyKDcIAZ(s)!>{Jqx=A zE#c%Ra53cQIK#yyEaH6wRZMb#9V+kIw>J@HRNfbm8wo0_QEz<`D?-%$JqjAmHOAGuE za=$t5x#kGS{l)B)$w}B3xAX?SxH~tD^?m+Q6mr^&%-j;r+hh3Q zM*w|%qY$oko7z!g-i4l#LY>`%PbTTPm=>anZ;msLKAM3QYzVhEX}>2M;TaQsUI*uC zA(pVxpECT2AIG(R{xi>yAtapyFd4bFc5EFTK=Cqw*zdqGvyZ`j_-;Fe0~2A_jicQc z5-oY;Jv#44GAh6S{X~LF|6VX{#6yuaaz2{Q#j3a7dVd+!I~OL;>mQ0+f_-ydRRZ)!d^-Uf9@HRYFY~L@b||UlxQ1D(@{YL&N4`6xlpn7t&_d7Q zIPI()`(|i~|KB&G-w(Om&5}_hP!#}GAazHCklmD#I1XAa`gFUy<}_pb)17#DKEo?N`x8VwpBi+vt!~TM?IK5)O9PNOVDe$)!;dmb z#0+=YKW#6Q>&p&t6UQGjoevKo3XT$nrugXl?-f8!N-Ln>0mO9&X6*MByC;v2e_~En zP7t(_(*{sDnIpK?ub)BdE!GQK(FwBc3E@9yollGHebz zw=d43BSLdc5+`EAXRhmUirZ+(=k`IMvEcE`J^NHMyfF|F9P&-auSQ&8XE!qa zW~A`xi~C6RUzsUUYSTDg1YzC0}^LE%+l1hy!tsRDkLI?2vfCp&z__m!P4D5tH5j;t)4;lQ&d`s53T}m)My;AtoAAd1ZK6gJ;Rc_32pxr`QX3($bB6@M!5+tT+KBibd-uBz174;=MRg zUnFZMeQ6E=ZTn*YOQ#i0PgYgf8~&t8p$Me@-D9dAKvFvHlIO$jH~Yc2O{O8Ek{?CT zBZ)f(dqv;|GOHzs7C{*lbEt(}z1~dM=$I@}LDof62{mpK4#V+gZ{HKdx!kH;%hb;? z;YzKAj2{=XSmttOmw##bYX-U8HFXO?3-R=1>$fHn_lg9@X#9}w{#It-e9kPn?Q z{?aR_Mw#6dP2Rg+@x9?vFK@Qr9*CYx`v#THdGY0w;@)ANWsmax%vfkssP z0q+koF@`V9ZC?d*{`lV6ik|`_94gsxpv<3rqZqZYh|CYzu>GlEUC6{0oj7#xS<1xW zYfH~}3ujgDbQid&`5+-bKXQpCG!n9L0;o>%G=-GWLcaYX>5i z5*4LP`woLpBSnLMkjJl*E!ucdF+B#)eq=#Oyl*%DA~gz* z-o>5c&{qe-K=lZq&uh_%1yaZ`m`UW}bBxlM;LGjgOXw|gSU@;bc=*cdmw?rJ`nxyQkXlL=G5lLfX6Xds zjDX({kLmb2!Pb$oyy?Ho_T`Bs*UDXS|=;YM4VqoFS?y=&g!~H@pRjv`@n$Cx53Gi47xxy1st zv1Xp+)1ToXtS)_B22&;sRPN%cIeZ1U(H!(y#(ff}kh$GA6H)JN#-6G5;3G zm>1SYv6`4`{}JmT`%CAdbiu9W^_dx5c=P!t*!KMsr|p7l&M)*#SV!hJnb@Rin_rC1 z)kYEagmKxl!4p6{4=Nf;M!}E3#nsnBL`)p?o3sS2WLZkF(+Ah1+IB?adCcQoJitGX zwKH9wzRn7*hb&46ci^P@NcEM0I_Q;`rq5XE7y1JbW{i7p<&ZK_9YYHD646n&4A*XH z(?r`11^=7d^$oFiS>VF>9M;tI?R$bFpDU5(eaKhr^!6>~Hr^@$+kI zT{ZgtA6QIoviY+xxXL=M!2~tG7=7M<16t-U;3-rJpplZ{@4juyA5;x)kz zE~CFq5f!_7a`IR zmGNm${nzXFjla6q0v6<3-M>^=#wSs&7BN3V9(){p1IvUyS_tvSSnJ-X_L%|$eq1L~ zgD+ulVTtQ8y|#^n2=ZP)N*Qj&)8_*I9W&FToL51Yz22~Sz-s;LYJBJZ#`n|~y%NV8 zMWh$}!g3(3A$0SrORPmK+|=(jnp96H9Ih64;5G?Ad7yv#@JfPYt9z>s)4O_5JFS8& z->Hupw@xCGP3-b22KUAV{C>Y&WEf!?7Syldz&Hv(u2<%x5pXA=KM8s&7U(f^qH;+uTWheQL+STO`rZ^x|@O-RES#ZVI&>Zs0O0KqP+1#I&^J$+5 znco^dU|+m;79(JG6ehHNyybN<^06PF1ad#K(+&@B+n9{-`QimuyVj~g=THos7sN$v zaL}=$=s}(i`Vu~W3}uiY0aNF(bW+w|>2QK)(Yig_bF2ufBm^|hD^N<;5#T93S> z+qCTc%ZK&$UjcGY(Olk{*88L2KEGlz>ZC^mVH207-A0qrV6#c-y9!bftrF@shj7l@ zQBVNvc(=%7LFcv)=WJR1^fBf-cE}3=+3Wvf3w~w%#0(WckI~7u@*2_Hti(_^!RK?}#v*cU*Px3NTI2-u!lZy#KE|-6|L_kBrCT`dM&sU-_2- zC2Q~ckGbLx1+4s(R{_%WI@DoJizf15&(LV$LOdlSX(dxxwcO5jK`)msb2gMMXj7V-NqD@tN?48-Ea$ z>@Kc8C|yuD5?_Xf;5BuVVTh+-X|Pu^sKWc-9@Nr-!?(8fv0w~fy}dD z&$B$-yI(l^6z8Qe#Cwh+p+|Y%L#fxYb}znjix9l{p?CzK{y3*5cC_l3tt~a)z*qTG%dhy$G=b=91VPS7p(-}S;Xv`6F#9x!ygyMCL^k@1@g4t6HfuHs0$(pqSo$7E ze-6#k#YruB z{)?iiqeyJBk!7|?Z|Jbxu$bcIstOrWN4ciQzmfBd?|my{nb*smVs^8sl-%4v>XUwC z9SfXqqAbzsXETi%U4-+Ku-wq4MZZ_-SvCC0kUj(O#aL;bs)mzw&r&1U{kBh{kR1ez z9)y0(^JZ~WsBW|{)+;iHc9Zw{u;%-vLcJ+}$>ZT=UHM66hY$Jv~fX|1)_~ zg%eO;FD1Z7$nd&{j~ zv-pTk9EP`+`_Fqyo0RD@c6r3lsb%N-{C$NjX%`)^9BRT+{%hg{pMTv=%Yj4k95P_F zSRM=G%Iy&vLU+s6vtROyMM$d`_U7~>M}QC~sdD60W300Tfgf#B<)4)V_dz<|#jvUq z^dpn}@8`7DGCp~w-{wHXO{EaVXClzf`G;;4Y@CG-Mm0 z;rlXInYeJ=GJ@x~mYHAn@;wm2zcu4_DZ?l@e;HzG?~iCw?ZvuYG5Ufv=Xo&Bo>GL)pB2b&_vEv) z1wj^vIpWXm_ouMpvX!?j-lSPC(KE~nM3%6iCLzF)A%uH};F7M6Q6uGlTSQ76yt>no z@t+H$IpaUQwjE15D}H8Caqw~@urC$YWXGRYexwwHzvUC!Ap=eTmVXntmi$0oG%4{I z6Q02080yMDc*7oNBZq>LnH0lY{?paF9|h)d_)_8BKv|TBZz%gJkwleRkVeO=^dO_QbS#W}2@#Di=O1z@bgLqu=}T zr7pnMI!?Cvy$p}C+(na9Z*HK6(t!f#y;D7z-$W0#6 z+W_7j{Whf=qkWU@eRzrJwk`IKtQ7`nRFTdz*+LetT_ORtn=#bz*XXtRZ`$32hz=1R z)x@~rjIC$mh28p|{Uv*8B#nVP3E{ixO{_o{chdrwO-H3KTONBh^3iHzY|$iUetznG z2?a|9K(4LPAM;RHK-`{c#WsA5I6sEP z3%Q&(isjvv6;zds0Ae!0diy!&Ll=f-OZ@E?#ysOMPdyA2Ob_pFZRaEVfujUGc2+ZsX_PnAqz~AD0NIDzICza7ufzqNY3!^9@ zq5o=-FE(p>zX=;MJrtWw1RpOe*2lMn7X2EH{pdC?LQ=<_PE+BlFcuJ*71f(80_Cg9 zJQT#4Wq~y!T_U@=m~|7Y?2Y%gt`we@rJlMI*xiyd3BVsJal##`BSL|QJ( z)g--;!n+3Q0sh0hyqhcbtDHCZD_}P`lm+)}1 z?kfvJMC0(RYLNf*4lPv6`02}gEM2aWyZ_EGH=Vg={8b-hqn*B!&(7w%bkHluw!-6z z`6F+I^*1SFp#rVBW)EWgA3~P!xnIQWk;lEw)czx2Bmd;uqH`M^D2GtEr|mje+Gxo| z^=G~GwNJJhtBfYcs)OBHh!Ee#g;=DL$ep)M^u*V)cD$#Rfq4n*ipz}(D>4Nb(-oiD zVTlkMvmw-Bom8p}by%6WT$v!kP>HFyhoVyzItl#CkTgx`hX5cI345Oq2K;jr`T9F6 zlHfrujlZ&Q>yxGtGtq^<@=y$PLR_ih7^woo-vLlO@$qVHPgi?IaC`@szk6d+5UTK` zYCY;C1UE!UnpWJ9rn7deBIkc~N+bolW?!+j)xEChABmy_OwvMca(|O55m;-HV+4EF zD$l>xe;o}-6>lfClVl0l6KOY$R~!rN?Ri2abwh2?G$7=IjQZI7qC*?y_Hn}9)ek$~ zUZfVars;d+Yj?Au`?~trTElP^n^Zf(NT81T!}M8MFy8iShH4zIxLV^{|G2+kAcs3$1>Pm#e{S|Bjc8m3-0WzxC4r zOpf;oi~hb+J>$E2H}tK^F1_={I}1BfeM;7p9;CanbS`%?2InmX{%Az{J=m46zPi9? z^8I#_`5igqt|C}JpAsTM2YlGgtwVSrMDP--AY$3UOe9C@OcmY5B>4efl;{5>eO_b}y74YMLp_4#^1TpRRQpKufS?S&qdB zu~|y zf)Ypw-%UJ}m!WwT)Cb(_0ww$W+|jlg0A+H#Vk#r_e>^cNxSjoZ^bg~56_USXi$ez0 z7bp9csYfEmjMt-M;rWi#?i1wyGB+Q=o8D)kYMoW0th&Fxl-uBwSsgX^Z`S-zTVN?a z)L(ZfZYP<>|KCUWPsqr3Kb#i`io%}SoNdq?{vWKD^#k7r8n(J&vn>#9o&9Je13r&% zpAoI5)NdGNlzZpnmtX4jLFv_92G1h@!u!`gvMd!aW1&+16|p+5wS_46%-heKPi=={ z{7Iij`!bGaTPkOxmH1S|u2Tf@vV!?hOSeMp&j;Rbm&7Qj`)30RIu&@^T(8T+LD$v( z&$%f1Yx{|{tLJDos~!YRf<+v`($I_RMZHrejaw&qe$(Z$*6hE8MAy0(SuXe1#h~5G zrC!McKF$YL-u>byIEw;gK<`L60|uY-_}CG%E%I2n>6x;;j8#7BAntd2MqMT^iF*F+!FSey4{)Nz1e_^Ur8Q3X0E=^+PygG4`M#LmeH zDgAESiSW%I8Rqtr{MHwPcCPPoD_f2aXymcNx*)Zgp$w0Lw$}ZDJ9jz1BgVrL_&Xf* z<4B!)AVi0nrYW`RY~$}%tK1EV5Bu#YA95R#O%v~D9C$h54)gPC%l6mo%dHfjEDerN zT(s3tR;!W_HPLKU)>Tn@6YvQ6atP3jVt!HVv`ubM)sZ75&unW3vR7x;ZK$hHkYg;_ zDPq{d)dPQBs>~+}v!4}t1Y0}`LvEE<9}dvgUSuwOiK#zoE-;iSH5`S3LL9=52-*@C z-LTmKV~tm5wJ+sv_ai{{n%$9Km*B2*P}?osGa)*Z#l($mTh|@Uy`HV{R06y32z33* z)UCLW4g781@U+&}JTp&VN8sRJtD%jQ%t1?6 z1dg#x`%mO&XbV=_kJOQis=FnIPf2I+@1I@R7ABU-sZJMi=xO zH^jg0yzXzf&cxM$GhDJH#vBVG*5$R`2Z|PyA<<@vuH6Q0&=0g-Cef&B^;A5s~5#b>2|^x8Pqp6wfD(>|q}>KD2Zfsu|jV2L7vk&pT#2_qpc4nL9W z(z0bG=X2imP1QE5%>EuumBn67nJ$K5#WKTRN5!uS0xAUZ9_T3?VTxkk1haEq{=+a? z7y6uz$l)7MaSd0$I*>~rOep(|&}6{HHT(3ATFMUCY7d*4S(<>kx3S2N2W{@$`O!Dk z1awm6Mbx~E@PE8m z3J;K+C`8=op0@URwo}T6Az-SsdKgX0+(Clu^mqa>rxF`P^twyh3G(;M*vcyi^8fq; zi@F0XH#);nN@5?yIEfYTr&!3k<%S=Q2$g*|`LNFkO!pkamt9McQL%^7_6Zpm zDI|=d$HV}h?^P0XeR~fVYjNu*C_Qh)>$>B3-ZB|-! zAx*T

~QuA(_2ST0qZam{RG7V+e*!TeGMbcI=hW~DVay9tyfAKb-apa&BuE-80#bL+=efKw+)}^e9ZcC1Q6cj*6b5kCKP#%fid!b zNuFdm{~S6T#^ZY|c8@YPKviCB&@SFDRo8FU=vLn!+8BC%``Wkz+RXE(?fTQtDX4}S zeKpswF$irn;E<7yVjja)jR9_;74Qil#ap6hx6mW%97r&uNae?!lH-Ysn5ApsDQW#> zcM(+_pRYq6Jm-J3S1K_gpeF%6zz4bG#W_!VQPAP}f&zvDylMzkogiHP>d1&z=t_>q ziv2Fl|E%bRAsiuQYGRgfsg3@}VYmoB@!vhOoZ7Ygs}+~;xF}Kj2_)`!d7HKISG+z- zU=!OLTy5fY3O+xUX(~ddjJtt0Z)QC7Qh&D{CgHx69c@!HAi-!}1Z_@a|K72! zFmt;$!DO+PP0nLwNWS7WYSTneuzeq+6B>Zl)xCknu{o}^ zluu`{=)_NnQMLr(B;#^prQANf4Wz^M0)E`S6Vq?I*(7<`t_O1Qb5_@-BbDdx+pb(+ zAD+m3IHfEJN0qWW2FDW3rqWj$y)$|y&gU*f$!OL!urI8zA$sI1C`!o}&+Yc+!^izU zf%IediWXyLF%sg%NM|LcyS~U+K{Kj2M0R zraG{Ja3Y9+JaP!rwQPv=u35zced{t%}v^IRdrB;`vE7l4&w8`IX_UJ42>hLNgzj*Lc=;Z z`dBzxu0S60kEAn6*zT<%S~zG65RbyHDum7SspNJ5!^BSjeUkrr)ycMy!7Wca*j=>+yX8L~|ERBaAozy&2Ev zll^$F%U{{8$vZ1Q*?pjF)xR2oSStn*VRmOlFI7$$R`tSV1)KkM<8v#A6I6As>?lW8 zV52N%A9QaRU-haOadY6e>zi_hzOZMZvEUXWq_lS6s>_zbD&7@_JK+Ub#&ttyC3d1W zLc{u$D77cJW`OUfYz8)nv**U|cYBY6RBBv=lO^v)#;?u08PJep6KI7&{%TgJ?t#h^ zm=!k*76)H5&^W0P3Z46D`iC^apcv55SeBM#XyVH_@TOB@aL2?;ev<9(SCYVF_k4lXk+H?ttu<_GFBazG z#!LXByDD5pens=}n_u__ifgjJ^>i>;m3u*m>Ooh;%Tk8dV-}s??x--*1Vx`m5589& z&z+%AO&ehKUmilMY|8#$5M zOim9NukDgIe8jhbgI#$)QrSlOeOP_pZ|_Rn*gP*8XS|q@_p1!vuV%Ygr@`vI#tYSI z?m6>G2Y!Q19Z#lqheK21uvLcGWr#c&qOm_R5xvhVVJYP>Ipd7=m8JhbUzz1v6@9f- zVK}{|Bw(6a9D4}fi$d)1!a4Shlr6`{q#i@Yy&eeMx(PIUwok^=?^Sp&?1r4zeCd;P zT4;CcqZm)F$WqKc(WDDHy-~Vz$V}c+TW{*HzAa<`9#m5jTtTrEJ>cT1QC2476rT@^xN5{s`I z7VwvNMhRkeJncOci7?YGe)VpmSLN-9Z8ZLE2*7si3k}fEm>M`hbXG@t#sB$%RAh-N zy_g9$m=7x4F8r03*awkFPrW}R0*b9y;eyZy=K(ki#ya5RqA zW5#W%QkehF6xw*sX{7&n?b8gx{bW zb20P98VelTI{rLii!P5NMP#0a(&$uD2+u6FyQ}s&=Io(#YrJ+vI0mT@|8$Fx5VXGA z!CU}WLCpTF8=1TKC!zNS9f7)_XWTD>N%*M@P4pR9_5u0k!Nek?<#Jh2D zVfkL+@*QosH8{z&G%4U!(|uC-{Ek1DWs$so6Crfq_r+%1=7d&tpzYyYz`o;~uNxE9 z!O3zAhK#qv=ap9X#*N$Y- zQ#yTGi{(L@KM=;gk^oqm5W~4te!IMlgH$AvS8=<^G_6m@`lOUmZDYtK7`3(31^8Rp zw8O@Ecx^T-%n{Y}b9^x0eeYddHBsF=S}7>^TU0ZT1o2!+Su83MhRQ# zAR{0VAOmbJ7S3k*L*>i(!C4!OxgZh*R*Wv+>besjG9$e4D2(D5S= z5uoU#``urT$pFo|W-xHuO`xbOL%X5Pf3jbk;R1QDQ3!>C=uPQxSv+i*Ww zkIAeEoQYoLgG&ll0LS*M$!*T`I${X^PjBGUGXdP6UACJFNB%s{^&4x>1NvzkTK#i4 zsDVX1B7S3g5i3XK_!TEh;EI<~YH$-2#bM4#mgF)o{;1ehqWJL&($b8A*7MtZJz>X( z%-7k~D((RE!Gg{akdx6{e}p7V1ZR%shDe6y;J41CD)`Atc#%(PSbs>EoUgu zPqUwnIX1GGnk?KKG&Kt;)?kzw04JD339C)~sXepCY;PRGYTj76hXz;>T|I(Ms4@Rp zhgF0_w#$8N{<~L>iXdx`qQ2fa7~SZ=D}0>j*C#7(+<@ft(JIERC*grn0b;l#hIxE~ zTfC$x0ZwwWwl)-udNs&ASah;AK^)b*Jyvh%Jn?W_`z$j??2onb`}5kQS`_dl(Q#KJ zww~Aq=EN#Ax2Y0?p-p%^2oAJbJRFbwzP+O>%Ge zh%D%9K!h;FnSI1Xq~kv(+{puq^{@YDf+GyVui>=Q-1@=dKcPeEm%c-J7?w7dD&#Mt zMLL>+MYh@k4?H#qskauly^=V*D4Z0>$~W7jTZS31oPNjaeoEBWTPm`0$&VmJYzFPkW{PR|<0Nf_*q8aO=7 zxl;wl^O)478fK^@ca+uV4S+_t#NRG{6czf=+HL8>~H_EBEmiXf)#l z00ZjGWUk`3Aqd0I=;+E7dTCe1?8~35c9TFv8;kOSH%vXQ3K%dH2m2|xe|)mlynlA( zO(zOt&x%#6lkz!X7!{S4N#hMBm>vWx)`tRz(5OoJ;i!GvOtWWxhxr93^@J1JGl0FO zqvrg^T~(huna)}> zo)Ib2Q?=r_FKGTVW@m?p;|2V(VV?5YxOg)9g2w6wY zZL=@usUrhSzqWZv53&GJLKxzZ_M|2pqPYPdV{WYHhPqSsS>^CB=j+s+hmH=FO40!g z)xt+ZG!)^wo0wFqXN^(J3buy~H~XJQBti&v2;L{@EvyAxVEttZ{a#!=yc&y#Zo8|y3)2%>bG7GM_1L3rd2m6 z=(J%hUzwi9IF|O8Nt`v28O+9#+WYo$&^Zp5-EKGvpuqS2OQ7bbK00Q zj&U=M$UZ8552AA{irMTL*>0v1`PMvK`??~PjZlvN#SG~fFSZ$DhlL*<$Zvl{o)NBJ zR#qf<^$zOn8NqmIofhm;)30;i)uDM>JpNY^yeDs|%ogXNbw%%Mq-c2Dj&)N5A1<_T zL1*jRtLZuWdCHHCk#&f&>EW^pY*Fipp?%mLqB|IPjc&4^c2xIO!RZInY5!R%`m zEvKIH?H?*)3$XdIoOln1St+3PTKOJ%;bo5&wp)_7aW z|C$(Ol-S2Q10j$JOi||57gtGpmOu2p*k%U(*Hc0VWf?Eetfpl~Fp{v? z`uh*JH;ub!NcoA*E6oQ&l2J4|6mJLELWTFnA!_!+`*E1nIhTF`Dt=zzvthn#nT|=; zZ6DB}QUt5U9p!6^3bsyU2-#@BWk0$?XTEak&C~a$A=4lhn$)f})f>14wV#z-!CiS! z!1j`-pg1|g(5YgAttLolm!28w)((DZES z3;9<2CMM>q{n=ojh^MUB!j$m8#^KJ|*bGrQfRzYCHr+#>@xC}^-%X+;!8e~Wv01mM zcr(LsWeTvJ<(o5)hTyHWi|BE@ZdyZO#Y-Jw#$)GU+J1NY;ewc!!?s`qHLwo=5TvDA zSNTHIJF(z3+({ShVgC^3m$y~3W=16idp_a({F7YXJ_tC~+JhHe1%F{F?-QcpEflKm zue9VTW&Xd}`)~nZX>2!Mb#n9rWXRB>X>_Zx;Lh@=CyKgR4VYdo7{4+qIV>AQ5G^2C zXTGcj_nLNh!=~T|U9^AKQoBA;bky~|sdH zV7gpeh4Y@pWLN?FEEX5<&S>eA0__h@x%O0 ziKDZ(savnuJ-qRaE~fD;;w933Y<{fk+zycQ&RWvhg-@}OpFAQ^oNjs zOKyY)|MW<}v@-;p=G$;|zm8H02F_>WJoLH z(W$hP6o@Nzt5UNX2zx;NRa64iOK~{;w7hj&iJEmUp|e1x>a{dGWxc$M9FW-X~Sc7 zhP`1hUjK8)Gwag@#xvOS<27CULvs z5RdQVabx8$pkJLq>+Md~Mm6x1G-0$v$F@W8^?q zd;g#OaLsQw?N`LNizx@hlf5ER=i9}z=eTvdxMvfrJ{S73z(Jz386LWTy~;t_KDLin z;~uNqHr42}+QSW5pLFzidW;&@nsNL(eR{yL{)#SjtFYLx z>)04m_HP053A*iP2!mEk6BJs!at8V;Im^F5qF6L&nRjZZYv1};1=A&xD1g zB1OjvYb3J>b?68QXx`pB#TH-4)Dvg6n-4UKTs%2BHT6+i<$#}W{R|ztHgaa3RtF2fhkrWc zO1#BPMQEnGhHe6e-m zkE(XG0cdel2B7kI8`ZY>$a7K1QI%sj>He|456DmHv`=2Pq&lfLO+6GAG_d_gDT0oT5Wuh4D%oCsU>w%eJAi|*uO z>JxN>N4r4{y@0Ag2;GdM;4R;kgFg|kKiFU4k$Dk*XRVEPshn|WdP*G5R(b>dsDkq0 zD5e?*+o_*X-t_>H44$TupD@w~aYbG8019WWg(e5AhK}QafeC;^G8B+OgnltV>W9%B z@Tqo{8e5$!=sKOx_}3LODZ$^I=$Z7>7$62WlaMBNCe3DO%g6XCpxfP#@?rxH-{4;^ zmb?-vc?N`sanR>Z>=Lvb+??@MK({eYKJdvGtf^~R8+#-d^UC~d z$F3ksPn2l(gK=cgALH~j_^K~)pqtsd)7$yW`r%U^2v-#h2=ov}aOkjfnYoj@%FA3X zLr@6Z70-&hoMF4X;|&MX*~bie{7j>ZSv`Kz|B{h&!CD@oM{^eje*|QMr^wiM3Tfu^ z0sJIrx}4AWB#1ikx_9<>91LOvh*50pe;4fUH2mTRfk%$44YVJZ$f>Y%@p+nd;mc7O zqA;$S{3f1xm$?hR#BdW|Fw)@%66UWV&kskH4^|OuIO}vn%b|_i@H5Njfy}17-EeR? z(2pEI-TY{$w{VR}{a`6Q26IrZisBiuUjJi&*7di_lRqXJ%ViI64zwUW4&($mo??Zu z*8&c9`JrRTQ}Iq8fTDkFdRfl>rGCmA-#aK0B9w9vT_KMOmdO=9DZQP4aXh)?c1@k- zuv|Pu0?BHWYahl>j-iw>6Q35)Up{BPJCyPRYGQU6>or$DJM5d!RRnS)_ zIX3gUOhV=cK2UotT)iCdkED3UbimW}CFcEV^O;&;eIXyYtsTpTro;6bUlrs$0dJrl zhj5TcgC^Y%5$M`%DwPWw&ADft7&q?#txvVni zMP*Q{N*Nayr5E!A%g1HAaL2bHd&3R!$?@!o&&eRwcoVvfWyr^M0oOG~@CZ*}ZMfL@ z0TTP2*WcVOUil;5Hd#9&TjwA4s&{;&S3D)}nm68%Yi3vG;}{87Yvf?AY7eXEJTI3Y zFv-pN(Wj7^7_`0BlLy5ey^?yXIDMMS&%wId7){=b|g%U1D+SGU86ko%c&fs6jT?(E4^V}EK-jm$%F;VwBdwqu)L(lOMQ2#Y%+ zK|Sv1c`x}0y`4d6XY?BMmtT=b%(v6y>!`dmdGk&E;s?+6CClUq)i&kW#69WLHqSm7 zO7aSHyr$wY^@n&@P)0-`{ zzoWmNk7F(t2?5bx`dkLSTJPq9ssMVbdIDGLTjyo0{eMcva(Ucr&Fnu-7JgYIOF}ic{RoN52p#o#ZsK#aQ_>W~6_kgO%JrH%V&auS8 z-~8m>+wB0E^R;!1y+QIdzc=$N<+~Z_%8V}pUDpgS&cwtM_6>YbsbmGg3oY`=53xTM zz8Nat&8!pn#=eGq7F%Na$!I{ItnF70oc^?Lsp z`c}4|>AF+WE8vTcSHR-|wAgr7_Ri@66#dRNO5@$=Abns@pm~By^M;X?$)heuDf zAA1z&P#nCVSo~@5Ybrcz&L*M~M40;bf2-d@XUNv1$1_Q15aOnvQWFW24^t^TUDQu?U7{xE#IH zABiiFc)}G<|4H;Y2B`D5;eZEFCL5S?4X%z47KQn2d_O=oIWh1xYpuz0n2D00xknpv zOn%l$Q!r)W9v1d!hbsq5L zW`eP7Eu%ENw6-l9nmX5Od^aHrYJ6hTH)te`-V88fHwjyDTg)-dzB5l=(MH0*Xb@^Fm)_v)|*8VYj_~n*XNX z_&CVC2Hofpf$vH3bn;ab9~C*Y<4YWhIkY7! z^#u%^y`k~4B0xty*WzJdlRsjV1vC)ve9KO6*EfjA8o-$zd(ogr&)J&T!Xv2W=t{wq z?DRqU2kTpPe#R;LJL^>!?s4JtE}T6rMxe~^q35caS8d0oMRY&gqn_-y@isr|^wIoj zr;os`DAB*!)A5k8p&zm^Hy{VzV1*G}Jj+3UyZ&9knM+e%*}n1Mr|3N`I(c(;qD*pMg8ty8=AlEc;iZET%Z?LH1<}T7}Q$vb`kQU%%kFy`&S#JN;m;p6LXviHm(BBDA2&ywH#W>N4;>60hO zmU=M?N^{Z!Dp^M4!;?+Z!_Xz2C!zcKT%GkIw~I2EJ$Jq@FQr@Z=9pe1sj(}dkG!V- zfBz4Mikolj>mpxoRFZKV{ch61c=Hc}cI3(Ce?GTW{P9)2_L^)H0=#_m;X=lhhl+I> z!C}10{8H`!a0odZoEZ z=TiL^d9=h^>#aAl199lmyV2?JiTfk!3!?&&&KvmZ;QGoK^?Mu7Kuc@di-9r`)IxoS%6hmnYK);YVxlhk--H;L{^^Y!8R%+m5Z^`xjAZdBdan$i*Y)g8F4$B5}c#9zfFow5DXR)*5TpU&m%S;qp?sbMeo5Rk>bMz9mcDaUKTOP8Ms| z>lM@C1(Mzoy6Vr=y-znCyA8z`3_#E674R3vyaN8D4E8oOx$p$c5&#WjN`PZaMl**;LWTm%ACr%S@2YA zRLhP;RMY(jKYHth(ikq&yL(5IUkT`j^Kw>m-{{vo9XV>NT`hM zb!ArEe0MqbrHwnj3$mZ2e?azZK5K2~XKxmFfXH6^HOAVa0X?%3roT5OgU$t?#ba3P zv($>wCLkEE-PCy*fNpks09`x&-Qv)(hty{7^<58bM0fPZ`x;jbtmt5mM*qnl1)8~* z^Bq0}4akL0$)hG;vZd&B)hIpSj)Q%)_cc}Gq%VV2<@%tu%^&)TUV*dcW^adqFaa6~ z=uSYT=TlZyJgTA6svcEF?%=C*iG3+Lg^bH)7KTBL{Wm{A(EJocF6azVK=#TM1!vpD67KZC$zP^l^8gByuCjm%h49OM8E--^ltS@h z;gQaic{N620geesqh->7G3#j0br9Fao$u=cV^WR9t{mWEb}s1fmxVnc{IFci8{?~h zZezd82mNH>&dp*%Zw`UW+8~%8JjPc6-Nr2Pfmgm#D!DYfN|F{ zFK*q$Tbk4~F_Eib=&#}z!_9x!XM7e2DR?gA7nocma3O{)c+ETYRu_OJ-EDlC{c%4gLHdX8 zZ~=z?5SY(-b=;7ry(RK{5?$@|N)95DIm#X)(FF_zw=migeO0~&zs=`qq2=KG#;1j7 zuRVUE2RqV(P3D+V52meW75Ticfq#gbDUS(s%WXgoD)01&Z{ce) z_B*0M!}w7RX^0w^Tctc(`7>8zJVhxAm+dcrSB955IY9q6#TR}^rjE^Czv)ov2yOaC zq;qk5MCZp`OmfkR!Ek+H1$U5I8)o%&{4k!ST+X$Waw%(Fm*MAOHoH|&e*F)FNI@>e z`tU{lfF^z@5ppfdb4U^%Q&k7;!MCR8Htm!me^q_ekBq_d3x>Do2qE~-MPjus*YszJ z`Ed3C=^>k1QjgLrGe)Y}cGlni+iq{x^mhJkJmpoVgXh@I=QjEf)JPWo;Yu7JD$-O= z3*CzI8@~p-IWS5-=3f_NP@vnWcdWGyNPVPv4bFKI?W{vpFY`$Lk13CF6`>jDs74%_ zBf3nhYu?3gWrqU53!2uSGCFt@QDp=Genp;=Kb{}R*A*zjyus8Fy%uB|hjlTXz>B@) zLl@y+(|F|76o+xRGUoc?wF>=VA07M7hECzl@b$O0iqfze;}oy%iQ zSGh0KcR#&2Uj;QO@cjIaUWNYri(ADfGJ+f!j12-YeB?Fb&&Ycz&%GGta7IL6ZgFq& zf*B)E8U9}^WGE~{$S-z^&py|y*1t?6OP9;igMan-7@kI-`gX6l{Z_4?YHNU|vcmwL zE3mlK{}3%@;W4|jfQgJOPpkC(yo^3S{7}ZP@=nSt)_FBO9!ul$oJ_6IHUK3#`VT>6 z06!~Tc;~(C;se!tTK(S?FRWsa%`4-dc)TBmpgcc9YCBL5-cnzDc{_|qyZCm~jlJS& zc>uoScJZq;lxWvA6RvhEfl|=l zPq{YJUwAhYPmw8j(#!Mv-jfJ9|&I#T0n=`-^PBV>}$@*t)8fF zj41ZN^gHZ1$TA~eoB6#LNAB-}=~F()DyDP1@!7-*MF( zW!;tF#^CfNKIpwFM)w2qT?x4!5l`%xAi6^*)RuLE+{8gg0APH;%Cz`4+aF2?jsNi< z|D^AH%?h)cYxpAk$N^vT)3~|12yXc>AgIrH(p$G+`opqVO2`AUCrEOkV6o6ho8p&( z@$@rXetiAy{09R!|E>4N=Y?zHFN2;7NiRN3Jg}6D#VtJ{^GkBKcMT5f3Hs?@0`uJy zA&U=_J$#&3KFx9-Cpms}pR}`vUt!=-&FghPm(d^d z(|T-t70~pKlMjn*=#NhQ*jO{qh2D7lG4x`6gAWeO&!hM4 zJvMF8fBH#qe-qn(xal%%)0>;b^q{Q%B07Co!(x-FgFQBW2O(JNOsjDqGQ?=iMxQpA zu%}ORWnSnuUEcVrpoV7jhq=lgGI{uq4LTFm0SJ~)7}qRpaCy5f9`K(k|2 z^5GJUOX~Qwsm4oqqQoF^AIpOI9J&wd>oeec2@FL6spMH?4EqKzMHm^Smh3%U)b8($Q% z#vYMOku7@>JilNpy%!Q4phaUi4KHJpvuHP?yyf7^j2j}KFh13or2ps+9=}+A&G#lU_t?kW|K7_}%xPVK&=XLMwpQj1Toz07J#x@>X zfXfQdh*3842mK{9$0sq(){HL$Mq_3D*|K9ML-sE5gB9&Xec0uL?bwe_$>Yf_?e83x zgQ+yW3g|Xw8BfgptfN5mDA>3I1M|Zn6fWugvX);bGBl-6Lyy$o!-vh zjWa%uman6y-xx@L^znA_!f&^Wzshr9b6kn~k>TXYUh$+n3Ep!L`z_?5eYgtNav8=+ z3nNhGl}7$%e>gwO{btgCNjil7G=G5ip=kZLUvCv3%d2Bt8I7bcBQZ?-&eMGvy{+j- zb6Vrjfe7roWeBW`_$%T)KV;$=@3cH7{`+t?MhI$?=K-4Tb4c7sXFJNioi`#uM=-FF-i2Se+$-Ld_s>`Uh?mRpGK0>O^49o_ z`0&8}{7^3W#`8wVP3<+$%}t+jMZED@VO%<^@w|^x-_`Swt?0QVkF#&Qy;Zy*15k_& zM+N9UBCo37mcimFGk=Yq#YAbX$hqxkt;?vY#3Q58f}Y zwGXZp$4~eTi>eR0qQ1Px`K#!9@ultJa~YAke%Ave`yJnq2heZ#i<@pJ<*I%uMW0nb z^<`=gpuCTM8FYxTdKLW6#n;mdXomq{w55UGJMm+^f%hS`O;|?ztKj4E=*s!NuCEJs zd<}JvD(|Y>=YA*8jekgX4gD2APyVRr%R^*xf!TF%o>~TOIeGpA4^PL;R^jni`hVdK zIhTB1_P?Vo?GJ6-TO7SXv>w70c4K}I%B4bjCHmP9{)>i%Ciyb1?ylN9bc6c(Gi_Wo zkjnWX=wdv2T+R!vhc0h?Wl%Kh_0-#Ef2}T-6I0#U@|$FPlYj&L-P5sy!37r>ym;B&%Hth<*yD5nlGxd~ZTX zWSyknI2>v2Bbxc()FeFktHxn1{OzwXKZ%GK~HqPtWk8P2-~C2drqd6MSI5D-ygO zAV1`mxy`qfQyR*`wGs2b`Z2J7HQs>e1w%FTKVYgfcyghxcUun=cxd-IdYox7F5s8` zv)?iuheR~b7MwMwv1Pt-1$xmho=X_d?f%b-(?94>8@lW-EQQC!I~_PmenGmJ4dtXm zfBYx`qLqjo!ft2W^9Pks|2(j4cU-@(c>qQ8uYwRtsXs9pO1}bEze33vK>ET2FwJ4H z)!A$@z6$6zJY2hQ$L}>{EHYujXD@!iTMy6g5qVe+hUUj4-1)}A7!##I7x@_P(99e+ zHn>AwnPyFI=kLJLdH5U;)FKgD`NU;GljM%_CO00e8yg_z`*{9ShTy9r;sL(Gr%%T) ziwlh$m$_cXtKK!&Kvo1d*v3uwveH}i@m$QqeSP7G(FF6n2pMF+uHiiV^BPOWJ`ds; zeTGaK`z8IB*Dx%}R5>5G48lq2Y9RWZtMc8GiKB>pYyK@G7qln0-bHB zrt~oGsO3}ByNdRY$dG_JAr4&1{>DYJe*A$bpo?}94X+xFX+pT=5}t0kh}HqE%OOvv zkAv(#@NR}0pa=FC8b3^H$k+Y0oQ+QdW34IY5VaDW!do!ob7>xq{iM*PFEgYwm-rw~ zVu7*xljjW3&7FGn!$-H*u3vcU5E|*mLmrLvW#G^UV=MWLpeGpLpeJzWGh8&?^{fEm z$(aLk_!ZNZ#FA<&91#VUe5m=sg#@{B{LsDp@P!L+AK1HeDL3WM9iHK0=}h79pwX?||9 z|C9WT&k8LEm+QhEKMREK`_&WZk(S5yO&tiZkDezqnMUM^W`pq}>i=WHG=!RZTK8<|x9G!EVJj;p2)vc((ICo>us(y{TC!^n= z%fRvXdPVnp@}xPA4>2ZXsQUC1Yci%>Q{StO$2n%K)3hl*PwKNtT?9f8hMIqRO$My5 zZfRZ~T^spM$ zZHL>Vo(JyZb@Kh<#PQrO4&|aNR6Zw!N2U#9yh$EFd-4Ffc3d7n`{|N+&SnS6)oZM` zFMm|*oO@AkoBnX9iy0v*wJ+{%e7jgX@vO@8G?LwRfkkoGb9F#TW*0nw!gKb$K>h@- zd6%&rAM`5@Q%XGYDY2K|wDVyzJDAmA~rXRRe~;jtpHhX6W#Ua0D$pX}NA z@lwC1H(Gr4d}-{gg?b=}p8kf`!0*by`k^@c97vuOp<^w=lLmMox|C*lRQgutN8h+3 zL)YLZ5d9-Rdk48P5j*09*T@kx<+n_-c!V6qPLT6W? zUXLxFoyt`u`iR{FKinBAPkr#i!MGs&gGL}(s6SxfNqe->EZ?Xn))whBe52i%X$ASt z`UC%iC-6FWo)wWl?K8yZ7R@R;lH5kKk?wrUf;~Kd(piLa4emZ4ViYv^Z@dd~6xGvA z$fU@i0HR(DC?-8FimEPn z*EBl+a?)9hSUgxb{Oh4yIC6Xk-%!9MhLl%bq48Bfx6{WbheA&2ZQ-N2C*yO4IY}oQwWP3%~^4n#;$W3ZJ=OSnNI_m~?`P2>9=yBqd zF5K}zHuIxAee#N9rcRHKHgp?~H@+XB<;DXV=HG~*-HUsNY?Y(uF_GaGp_jXx$&c)_DSKP0F&dH~bH*s+GXlW*uEFHj3iv>kv3BdZJ%lE{ zvrb_w<2~)L98?O0?xbhg>4WuoAM5swSK~-um_H`r?4MYhU7kGy-askn@}Z|yMdDHD zQbXWt^AeTric%IHu4#7!b8%hqtYwJ#OrU$1LzoU zjABp~7%F$(A@6@r_KF*?m*JD-4ZkeMNp!m1@%i%k(9b^9e_3+kIh^KRd$TBh^TOpY z_NxdR@r8ZK1NW~LKm5L)8^R}0HW zS+)R3p)0Jf7sX?btQAkm5ca4H9R0?)W_#4YJ`9gX42dveU}!|mHC@ZV&zvoamtWZ~ z-g=w;z-X%B@69*$iogBIq2d-9+T!{1Pp|8>dQz~ z2B2}y18KVCM|t(1y%>Fe_x&A>i>>f}I;!7f$Jq7Z2iA&jJ=)hR;qxAsc;;K?AH04( z_u`c>hK{?j7D41)m%e}NF?nW{PN7?jN%$3Qmiz`!PPu|baLIFO51?rP3Pp>zuPV0A z%BW2Spcmf|QYxOiR6)&yNAHt?+0PUc16gnx?Tgt}INlg#jLLNZ-cmNfgNng!R=nS^%OYms{JSu9GH?FA3 z`plxCUZ49P8Y^0$yT*zPw0p;YSoGHK5xs|_g*Z#lB*OlX`8dxMz&(}*+h;FX&GCG{ z{F(GgGP?908Ak+kNNt_`JGFb4(uJFU&Ry{_ldJTh_!-g%_~(WUU9s^t98O2PoTCSi z#2U`+QrBzgpm(gP@Q3vr1GQ46gBsULKFZd3aHWCIn68Qj)i32~HV?zPK$L3`0uIr! zKSCeW&s>)yp=6W`m~VBzbKk^BZsvDB!*+Sc*F5H~8-B-gO_hx9)%@lA=(E`F`m?Ih z>D-yoS3WojXb42bwu;R$2B4ZSwZK2Cwdf(0Q{U;nn*lmF-gpZ#uiDr%bxk^#LTTho zKG642G1U*>+q_^8j~z+CMjf$d)1Dh$ZI@{@5??9iGpGD6TwkCqJ6V@t9*3Sd2PV3t zi}oS_RNt^Zminu7+R*=aMnL}1o~5}9%)Mp&cuJfa;hB-&K-(ybj*;`d=hA$@AMT9dwv-e~ErmLQ= zD@Yvw$VWN)-h`z6r+<8ns;`B8#sL&62AzZ(lTj%=6f-7RDOEf$qOlVKLT~0Wz6xkk zXpj02QeZ)6^6(Ug##)h!hsN#{W8Ab{Ezo)t&Ne2Ilr6JYRVk;U|Y zFo`jga}pcUQZLkh4omqQ)ZlSq`oTSCjlmC0jR;vg97zAI6ZI%KRa!QUBaUudI0=i z?7jD!B?x_x9$(hqm5)3cIp zZ3IUG(^J4zMpw8rgx;;vGbJZL9^~Lfp?Wo2oV*U-j_E%vcenjSofVGv%`tM*u5n9tB1=4|+he8Mm@)|KQhd#0FEP=1wT zAA#X4Q%QXR>xoefQils8krF^cNdC7H<`rtzy zmZzt$JoI7k8Dk=76?M9N5Xl|9*A0?Gfau- z3G<&Xhb@m#1t|o3+q^$SSEhC3>gn~-Q|fWzmW|JXOwIP*?R*T(9qq?#=;8P#bQ_kR z@v8;0cAV52o@-p*-S8^)_MEiJ{+NHR)A(T^59Cg%AGt?lKgeF9?nhfbZQQgR1!NwW z@B}JmUzEY>I(fcmzo3gfTg*fHd+}19MH0_i4kIV?y$_mB($Ah|Ur1}Lm17x!vco>Q zz}|LmZ&*D0{Jy+N?uU`xyw*7nJb3@0_?8Uj&Yaf#p5)IfHj&=;#yXMMK+tja9Ui;z z=z`?+mOMfJ;%U7;{Il8X25ZpWcMavGbF(-tS~05R2U^@`TRt0{|McOt#;Zfi_IZmjG_(UM(2VWF ziATdfmZ#aLf5WTFvp?cD*yHi^+2=>aJMT`Gp*~8g7=V6fLo(zn+LZ&j z6vYQ0j*H*QkaQMb(FMGKepAMq_lUnIqz{n8pB zpgFQR^y1^odJXuCVFW4*GiPr>>CN_6ijAB9TT!YXKPc7p9VIkTZhukS`3?eUEBGkI zNLbb)#5mAX3qKeb?_VnR&i$^~{Txq`9YGc&r*8d=V(SK8WgNA1WNJr=)A>Jm&su@5 zO?)U)#pz3;0jK_uERTERi+>E`!eXRJwj+cA=-H<GsV(DmG8trM0Kt|F|7P#yqm~oQ?q#IO|Wa zS>MqN@(o58HAa6YSv{|qu6C6Z&!cCalyTf+D(C%QwwCp{W!GEdSL$2r3B)3=(cT9I zJ?j5hV+n8Au`dv$=Q!gj88aVVsg8BDi%jV+ef8b+Y7|H`^-d@)2PS%_85EpwuwQc^h2i4CRf{rA<+;fTt-d8cV z!jGB(`d&5wPi%+?tPN4~&W9i9`0l64XUai~{)fRJ5Pq-^oNP!{s(r+bY=H2d{Y3nz z209KH&;zC<&W9drm7b};oJZgjbcInPw5ly=;7p6JngzX~N(`$Ythm0QtA_^?+QRtYEBo!1H-CL_FXWf6eDbq516m#;;Y#KQvPBD#v%s)zDV%2WXo)1im)=(4@(H zcAW8bK(`TVy!e;rI$B~so)6ZcH!fnG`3nv$2eZNWA`k_I*XV^Wq$$^DxW}F`?u7#8 znINu)-1v1kmjjlIGa6q7be+r{)OQ>L`o+A){fxebzP0J{Wj=Rc%tPM$w(~87n~{B) zmrZZyzlw2W!4I@JH#x-GiZ{d<+=}h%pW_W(f$<}P%vD+nDmsn#LAn}0BGGyh<+QT; zmGI!rak;Pe=n^t((q&JVu0gXInjzOXL5FGIKg{Lg#E`+6NX-RKKc zhq2qg`RgscPF%%f&dUd+yPEH`%qUQYJZj3m=O2HzU%baF#?{`eK)vwc$?t8*3n=%- z8`WJDcT&NWlE3U#F$U#comT``{c}G%AY&$tLB0Rw#M&6(`pVk}UVmd0hLj)4pmG); zpy|H*hQ$-#8p;qhJ>^w$QoSKRK|haTjX*cSC)!2W%9s1UL2w*zvn>mzx!TM z{4zXMs$9rGMOy)yAAML}OTU%(w10kYRQ&pPV;Ls)_qDICR@D`X98aH?N6d%n*T18; zi}a((7xT~MjL(9Mb)Ku9J1^tU7sv93njUT|;u>Gl0CX5eyqlY)yi`8MTM6OoIXNkO z_62!XeN8&2`gpJrdQh=-!(+wvP2bn% zQk@eCm0C5wtF-%MNKQB!m*Fsn1ViFw^*q{nQ(ho{rmuK`tZLSG2laRJregE9|6a*) zffMyay^&w_%z(4<1s|cKET4SMaS4|r9(tSgmv}Rs990m~#N&G-qQ;wYgvusPZRCU> zg63NrcYFo0C)m*|yMI$$?lS^A_trx@J8E8sPdM0XHZ@kJ=ci68x)qBThdZv?8Ko=tfGZSk|>o8qmP z2Zg4~<&CcZ4rDA#@Ap3bKZ^0*hx$f8ro-mRJBt%C0NvQWO*wMjVLd^mS?~BjF z6p~I|dO@$AmvNk42|pdg=Yb5fPky5qoYow{gUwa&bqT)ZEQ2P)7e;aFsc}f+*)!{& z*Wac-qvzxOd`9W@7wCG{4jEsfuWF~kKd(d9&o=J(CLCgapv5Hi89JAtJMhK)XhZJ< zS*O@fEv_HQZ`bGh#DH4&VoO-IOHLbG(hmF1gSO-L45OdkSJ7^CSN(195&p1G}Zn!=%IVfJF4&^o|(Q%4<#ByCAex)vG6zYvzM+;czH2 zI=#fBcN+iDdEEmj%shg?M2F&p((5||5AiU(W572CKC--$p;ViS1mmlKuGIQ#d|l9! zj32J#f|C;kR`faHYOq{ko-fmX%fV%guL8QxwtT?h9f#HU=sSxTi)4H>VY66VO?-4; zR}C!(>gCdyS9ZsR5()a4XR+B4-w5XSvM>ra${RoSP<#mED>h@&BffjH!MMy{sU&ZX zeP0epAnL$aVguCVLFz|dlwM2YsX2ehUM&LZAM!5e4w9!a+n@z}Ehq3>*4t*SY;QwxE zT;}qf3gt?w15FuWLe`cJk1;yS{W}_x^m0fRGDT0xfHpm*vz6ZmW;3+H%ksuuY!;4A z;JGjd2Og%Fci5M4;8TSqy={C_pe6l{{HsWZZuGVG_-P|c=t7~~u3=5@!O~sNY`9q( zqw)icu@>JQ=IRbluBOlYZ{vrPXrw;w}2curKQ0H%# zKSCV7;!%b<1S-)VF8rVq&%wEOi3#LT^in(g3;hhOLhI442DE(I@y6$+m-$3!@Z0qp zKWd2Q6)tL7`_Khcn{fsVeK4Ks7xzKXTipwBfeDgQp@2duheTG2LlW(~J>w}KQ)_u0 z4mbI=eCimtpD{H(>%rZwVY@xY8y+^@^&CC4?!_5QIv7xqDQC-5cVwK&q>nz2he{kh zxmR6_=A#Mk!efo)hX&F?yKuHz7EJZH?7nUt;fL=XwX#}r$QHdfeSM{l$xL9 zB^X}?WE`FrEtUtbIuGNkvYlvfO@Gww@W%MebK~MqZ{__GvBM%n}7E^!{Th|sIJ{cA09mC z;kfF+KqZZ6r*qp=Xzm$vE$Lz-hKYEY{PpkTadw91(k-n`Kltvjc;LR|;p=+!`|o}~ z4%xR`pC_+&esE-noWAnqfs9Nyi@WcX5uv<+qIc8>A|61aKG}r4`ueDN{>72_L?5Qxbt$ zqrM}LtS`Pa(pX?jOqV4FTF@n40e|z2$;Zx|w4I_0UhDWFCCUhBAOPcQ12Peob`g=D zIkYc%|3A(&0NpD}Ve$3HLjcVxNTvk4t;o-NMY@!!c1 z^ak~bbEGNnhwy*^56JH@jhAy$FssZJ4JcxfhFoDAy1}_njg$le%CDtGS)ZmUT|O@h39adqnA3XHUk1M?+wnA5*yQoR;wbIz_7*xk4U5 z-MwUxcplxYdFk|JU@SfAW2|?oDr`s;>1A##BiHlq{LjT`?=!VV&C_9c^1fo@^bd;B zh9(cyg|09U1XN7WQ{pZS)y>-4xR_jwcV3fmoD6mMHSta4E^EO6bo&9l2L3MZ=5x+b@L3=2#rUx1o3CB^2*sv!7GyjO^ascu zka2?Wrpt3~%l@(chW$$9>}yB+-32^=Zs-;8JWF7_#=cEo;D0lOZfQdk{SGJ&m-Bbz za|d0>cnR5uvL{X30o7f`!%yT!f9SAjNLb1pQpm4hI=s&U`u-tvtoCm{8}HG`xg_ z2GTX;;tSsifV%Y>cYGJL%o%s+AIC3@MF*-By+_|CJb>oL$rroV;X(L;j@6TGDkAd_ z0u8}x#52(G?3p6%5*?zx9^cI$$JYEoPVftt<_thQVR_<(4>`mKs0 zFjTYNIwnhgac~}3G@W-e+yDResXe2$ckwA&YHuM%(b|d{Ma-gBt=h4vy*G(jN-IWN zd+)ugc8R?sW(0S>zjN-t{gZRNllSZOd|ub%Q9J3p+ZjvQ<33BrcI-qrg_&X;1*59o z=ZyuAlu)$HtUT4yKXE5zyXE(AmJewk{HNe%gW%Ju-?EbV|L@X;@Az(|n$F~&sFXk? z;pi6jhDu;@%Hf;b7LP2YSSpf(vnYS<>*v~pW|hYixit$Lpa^#uQdc!n2Vz7+qKg{P zIZitFZ>b8lH}Yd<5LPC;5@yu^AIu95RL;QnljGXBSY<->08Qnrz{1S-h_3(Qa%8er zInJmmT{CXOdKBwRUkVPe({WO_25sObDFgGa&vS>`&uV_b8-SRdu15i+mqvSK23ZvQ z%4uFBZmg4XX0PPCoJ{f!qbg5LiJavJo-5ch%&PPJeTdTjo~(@xxJtD1+BUx2N6xtL zbF%Nq@xEdger>7s!JIT)iMx@H>IK%*ijT|qTkgGpdgj&!rk_64cYOJeGWQ2X>`(QO zLJvap`H1N}2m57|3mi5W>8HdQdz1Gkr$P9T#?SCe9m6dDbB)U)tL!&;q2@g9gCXU2gUGU8wYL_Z9Gd^@tGu3^zju$vHZ1e7 z8WIEptF3knkyv-xA3x+aDM8RTMtb;Zo}*fG(L*$V`zQRX9TsK)7otqc3lwp!qm2Lm z+DB@+_(10NiNGp6-nojPdcDqFhx7yx!^^) zGdplof@ppQy5ZI5Cg(Hx?7Hmi*Ma$#R>y&)Ji*d=3oOcWdI}F1%IR?(TAmlTejz~9 zzFl(go@*00);@z57IfvBkC(cZcoNP5BMj=_QDlqixJV>FfaV;TJf?j7Z|xH?`)=jXw0EG;C*Bf|sTW%Nlp_PK~vAXHwv&J1)O&^qACAN*DSdj6aclQO6G1%Lu|6B`kF9(j^6T1udw8F|$$RFFaYikX_J}!;qo{ z5R|BPr%sqxk_xrCb*_a>5I<`rxAMzCJBgqX1J-Sd=c_?R{w}RI+zFMoCg)s*jp+`*{?2| z1Ab^=TevI|lYnvat2Iep=(R*t?Rn${?!7~M)%oAI8aFlClk!z1upN>qh-t7GbTrZw znzp4SX`ko0L)b?q(%9>Os*9JrMbFvc$e4Ew$3^(8QoC(U(F-=6w(w0}rPZZjaxHL^ zLXXBIDT;&0E5Q%~!QO>|>bi36^&CUC5O$V`b%z!3)y(Ac{)5F?41VxI`gTJzut^Pu zxr;Z_Z~~^oL)gjhv~Samz8wmOZ^G&*#vbC!i3eM!#4wIg$m4;&V|yL?TlzKKpV`Zg z37N~|s2d*U`#v2=7=9(ygpkacjeU7{XLw(?s;Sy@{WXkN^&W0YY5tAaE~q+nL*x6r z9lWx1Un8f%kSD{-Hs`zVBTrZ5Cq+#wT^~5MGW0fgf$&496^{Qq!oqS}oLIfLLs8tN z9fo}9>1bsWy6C)xj@}fAXR8dDdOy*=8e5UPxV$QlMXF}4!xu~7?02${2Q8h?NT6R* zvAgsiuU@@I$6qM;j1Kkl6jF(PjWs%&3MqQQ%lxV!`*wq0;pet*`#>Q0Yf}^VtN9I+ z{d-sUy@}v*d9Z;9g?4n;klI!xio`H>z<|j@?{AQi%mtY_QyZMLW$_P7ZIF?0BXW(m zAjp$18Z9E2CQbz|aSxr0)k4fS^QsAohCW}uSw?hHC2lzz_o%=8 z&ZePw&KoZ`XAbq#V@A{N{|(c99F@%}LT-@}6PU>bvd{(wP#=h*l=ynl3FG@cLC!OS z=@J#PE>E9G95@^P5>kiNnL{jp$k$g>F>WGx+6^wImL=9XliKl!@HWFo zdrAM!lRqUcOnkByho_SAlx8 zzQsYZ9!g}pUo77^WKtcG^|!g~rq;cv`_GB=E%zV4#jO%hHG97NmKrieA%>P<-{~xjilk_9d5bid z!xz++X%8avu&3!=iSJ4M^CUJ__9-dkqXC2rt<7?9!R_ znFgY@)xh#`LLUL^AFBl-x2y+F#gV=s30J6l%!C;ZxzX$fBR%=5@w*$t(3@4Fm8h8n zaDvczOoFBKI}?KSH-YK}%}lqy$j6GfrpYASw(&e^m}_QJ#GNTKIX+SNsV+;HwHt{oN*se|-6!=(7>_d##xtns7 zBAT5Z_ngB^51ZDdK5DV(5o!9khNLx!(tTx^2(0u)pr#AlRF9E16bUaeY8gmq^k_``xFBaR4U(lPhZ-R#s;#Z0tC6!FNs^wCAawK2Km=3 z$N-KTgbV3<)BXcI6>baxu&hg;y?+42X;3{;HHRV9<<+mQ|AjsSbPK=w0Zh)^%DegI zHYbIWgW60zM<36(8J*`+UT}xqfcxx01wiv^LAk$dfPXWE-Qo_*wQ2^nE|%%k zj=-P4%!Gc*#;lj`@bbu#-;$&~>?`h={n3eM#pZ=x-bHf>-#3=ppxwXe z?aD!Oijq33B9onh_Wpw9-y2KFY0L#LZ5^clZFv1)!pvBLk7m8CKlAuGE_avkWcGM6 zS{9Nq>2i5BF8v2krJ=p|BrA_&KNaR$&?eaYg-sNMGQrYcR$Qrb9}-3X_e>^+2WpOZ z`wCI^0z+LjYHwC4M;Y7QY>uys@spUZ=CM1ft| zT$6@-$y=7~*j9^I!RsyC52ID%jkCs~T(4(gTb-@lRf8t79FgA0 zFmgx5&H^{a-TTHs_G4e=_^DjB7d?eOW1dVC&#{Yd(TT)Zlt1mSsIJjY=!JIM<&8Vz z=*nk4&%V(^vS%K_-f!JlvKgO#caCox^<%7P!<;oC@2iijrjNcWM%F-f34p;r(`(r9w zgZF=30vS%ouwG$vzi+oQ6a6ADSn1(yMeI7mlkI~42+lL}h^!dmg;8Z1DoC}xDVUwY zqJ1_QNQmz4QZlM<{`kY)VO3D5@9S_k${^p~I1u}U1P-e;j(?Ajp*@z6zUJK^MXjAI zDg!=*J^Uc20~;`wE)I`LW{@=y-_cNrZzdBeVk82I4KiyV!kK} znQEEy&DCLD#MviNO*zAnk$(XwB=6>Q{Bdkp z_}H{19=Ax8L7;sE$ID9_`b;f1LZ;jDJz=3e?5%j2(-w&$$wG(0;e-$l>mZKTr%U)N zbr+n)sZreG+0W0}3+|s`J5Q0-uT|?N7bYW_5jl5|Q72(KgpSVpN)_k$mWYsHLW4Hx zqc?cS&uHXB@oR_*F4xzdf3uQt>w71!-E>rz(jyb`6b*IwbmdlWdE*iNS!*;=txJli zn?FX_rpQ`F+Zf4yaUj<%ur)=zT?ur+=7i^Dm2X7A6>aHxip>7y6ljHZok$e!h;{L+XNJ_1wmy zyJr(ZDrz<$P)W|Nijhoz86pltRkViVr9oKei?cF+u%y>^FRATUzP^K<~fP6`rvwjM=^1oK8R=WZO|tL9i!3&g=3z|Y4<~orT&#Qyo1v8tWl-} z=dW=V2=AWK@YGV!(sm*Hjqtx^3U@YfLp?pAZ$l*6Jd1d~YB_SW3=)7N9st3&#i>g) z76U1~X0KI-NCdb|RJwI&x-}`2ptY0#+2`!uY--O~>YPVX z)4JksKl+Q}P`l>Y`hnGww1eMB7j{Jdh)q?Vp{9nUQz&96?dGXqQm^EZ&|lllZZF`L zD};^CloAUCQ~jpn`( KRRaL?r5Wr+nnPLV>j-P8(UjvKSi|rSRZr)kXzlACg*WfF`%6Z?4u z$jz9dJKL*`DYZ{}SUc2rB~k#leik|jp~6m|_j3il*igEUBS>uGE%RUV(4Z}JI!O1i z00X-~lR-RRayn^EVKp1exGv6sl1pDlgzGKu(_2alPl_axT>|(tK3jArM_TkPgGn99 zzb*kdx_)QYZmUica@C%6Ak>V}jiGJb2=1yVSBR zf{|RiE%e(xKb0C5B_n>0mlgf}+hNfQlOZY5e(Rj*LtpK1SM}oC3?5;lSzHsuByPWy zRfbLUi#>o7?_E*S;qA09i?cZHaNaLQ7(vgB{iut$OT5N*qh9_E&Dzt6Gsjm!RvpDo zhZh^E2|=(==XH!5VY-?&q*3sEzb{-D~w7BkYM`SoOU&fkp;W4P`%fH)K@=o60N3%<$IC(tP1l((f1$R2aHn3 zM!lT@ey*LUo=a4*MEhYxSoDf7#W!Et317jG|@+%xJ5Hnc&69WGe}>l2>Rqelv_d;(3_^tW)YKl{y=t=L^`Sl;}y z;NQjl$pGEW$lIzFV>ubVKVf9dmg73}wmc#|1IqL|ZN&s+#7dkWOnBWI7{B;@!x9`H zE%{4!k|#d)>%M+U*KaRvxW?mAnK=Q@A<#3ks6@ZB(&Od#_*#l3+-ykvJLU~EndyIc z+v(R`ZMp0Y#lIkLU4>Rt8dS+Y!pgc63z5E;1AV%yoM~u($XTlxbGO!Bxx+L+4{?xe zSU@i7@)dyozm2^3&nbqJ^al7Sk3f}?7od5(UAex0QS6RNT_tw!k7H9MN2k<+>49OD zLxq=zxL)C4Ua{+mP69BFha^t)nYzNke;;vRWUctcYPCLSSr3E_7#f%@UsSR+�IouM%KDL_-A^Uy{*CW3R92yB787b~oHfs9oKYu}c5 zGQm1hS}k5U(tIhD35Rb?ZM#hK`Qg|l?rv3~AKQAJf=QNJY9KvM*DUN3PvXfQUA&0z z_1s3w-O1Q~zax;K=*tcyjVB601Hk(J2VuLowt5|f56NqsxRs9&_H(#?hOjmf@x_PQ7s|nL3MY z;w4yTc*=R;6D!)~h)xD0-Cj8ufMQ(SPdz5 zMIfls${FbBF--2YLb6DvNM3rG4a@(%zOo<8I)z;IylBMf>9{53$M5>0GQ*oDqp2sB zGl5&U@AhT3l;C|6+1Y*XH;?>3C=Nf#2h}>E1Z7NI>cV^+Bf{DG2`B@dDAU;_vSHd1 z|94kWlBW&+DQ(l!`)E|q;#x(5?77Wl991i%bb!Z2vP|+cv<06WHf=NatB=GBJ38~U zP^8}#1@&4xf1hR;LiDm6_OJ#s>`LS!h`6XJP3n#+yjYZ1muH)M=ZIc{m=~XllDh#L zSbwT*cZ@Lq?^dIABb7)Ldra+K6g{oN43%DUk3Pp!ezpCW@-@R=1koSbvGUCD8%s=$ z?q;m39MzUU&rciM@*bK}{f88MpHg_Os*GoYoKPL4_Cuu4+*cl$>V1XBSR_)l{41pYnG6W`Q!HFXHv}W+-u|7F`4!g%<;;hZHEU;yLd-byg>FNH zTB%b;%Ne-){evUFNPt&bk@AD>`9|G4z#JbiL){a8BIWsoe%20cVmMYdV&ds{gwEI$ zzq11;@=VSiZm#vE2AgAQSn@w$1I4O^nG-j04DeYGue|8US-<;0|962~bA3R*4J|Ck z^uo`!LfF%olzXJ4<9+UgJ;Ap78%mfqf1`qi2c^fs?!nV+puP!3w; zd6)dZhNa!C}V^ z!M^eX#%6svJhSXo)k*JP#IFI8os*php%>6#cLTF@wILH+!6Z;R?(WJNJ}Dp%7dn~v z^|}${(l9d`kbSZ|((!=Z$ZpKv_6@K*MbC9XH`Vk4ciuDi`CKqMfiUB;2wqeX(C%}F zNfh_~!0F?YEC5J~29*7<0OHplIc%NngGAhZ`P)HMEk#Z>yW`2^jlAT7u1nrfu;=Q2rN4^r@^M zY~QEi5@zk!TYQt7bQ-sWM=&_HLa^4o>_QXbHYa^DH6AW zyLa7D>!ZEOgh>hqkfv|iK(5jzh)p2{_;dKvXE2_Ym-?q-S}aGxvCp26JIb|7vaLBt z-!*D0MP${yO4yVn-betPPBe+~1cvO>o)WaeHvBFxgxD06M=K@&^#-PXCf)uxyj^#` z9fp3n@H$wPgRgH$h@!f*$jPyk`A+U--YdehH)Hi8*V7$?SuF9Z=NsxFUm41AX*sZ^ zqq7dOaUqMhhkCbTAs1&B9JluDm-{*n6o$56xg>gLoHn z^FEdyAQNsnXIu^xTbP7hr0Oty9{SfT0UTAoo>EF`t!r5tO!Lo5&FlZP zXSWu(*pKa!Q!HRbd6b~eS4Pc`qP!1-jSox?=$14l86*G6MWye=tsA2(yRuiNoK2a! z;*$1`d^ON7EYzb1!bSISqn1Zy#X&!^x*nx86SGZFq)VbJDsvGW3OvTFian3jD>!ocAg8jDXp8NwyvESv0J^k;uU||9&QZ2bI#k-EY z?i3=mKhJ(CvdtUt^rS20)=K&8E7Z+KUN`SA%TK(3`pJL<+}y;Zdxuym_H5@qi}~IPKivZ+g2ySiTjE~~s6DZ} z55ROX=TZ|huqk*J7M+O&9(7YVDwv%f6pjdPPQR7P3FR#OPk6Am!1gct#!4^y~#d@r7v^#5pxePcVwyyIaa&Yr z_`YWom3+_W0URslj~`*@IDCvre4x0Rv|w+rcilLF6Wm;~(^s@})2vB*k#q%;?*X z*k5&T0Y3I^YRXQlzq6AKRb9T~Ug}XXRycx$Pw`q;h2K$PUlCd2SSW_fy5wr~B2)0A&j_h(G%sX9*D`sZ)O0sV+9B)u{w^7VGi{}v(pz==iJ4(KrZ zw3|@1ZLU)!hXf)y7oZ*XbG5@_gEjN&`zkw&s}e?2(3`{Nc;;f%W!R83y-vkx-`8r=*MXx^oun*Y9-oJUtbFUtly9kz%r7o_I@}pT`<>QvD%2r$@DFZ% z;feP#yd(2__3pOw-{Amwzh2J6Q{PLjrIJ?nKi=}8d`yD5%g?3d2z|L8GP=gpdU7EK z_ocwsN}K@CYpdbD;j}VTnklJ=5+n%QmK}s`A=rN50h+!+%6-;>tTNt8a90DvQq(CX z6{>a{E%X%-^mN7dEFehA$AJO-VX_S$ljgqPeUt}}qPX{>OlRD)*Dk9q9w}%kqzE}M z$Jv(id2YWYxf*c@2HhLO{{S9STsdYXEMytngVUoGWYh`>eH*Lk& zS>VK29ZkGd+Ao^^*#0O7^ zgWY+!ef?haDMjIq$4<~EsWmu?1K|kV7QZ>P=+fCVMm%o_N7R*0F6OA#1p7XtNW3K% zC|N%P_z;6I_o~PQH3_c?y@sTEv2ncVFA;-Ub=?ftk=U%~Ws*n@J?yq$qP6hgFiXkE z+ciJqif~U37_bZ3)7p#qIRumFh_{#g2oXrC3MLD{(ZZWF1#57>LkCf@D0gPrf-ZhC z2yA~QAh#d4T)xyQ)85zraB=`bq6c3)wF>s+w*hP=FWcLLtIM7!zqH_E!K<08TdqNH(#1lS{P|;*6Ac45>p38gmg=Ea%S4 zyiblNBY6G0i4D?hKIjUdU*Juu07Ibu1`B1SXz&ryuq*yJknJdQFVso?&$2w*$fVvY_BN0yBntPPBaX~pOxe4_d97&T zWF&E&`We>MDs-QAFI1Cr-ZKf{67<^syf<p)rm1Th@wu5;@74;3 zso$|wC%Vhgk9XGT-wbhD6wBhp%NS8@0XcRHg`U$??SFgJJq`&8)+j#omw~`?*f}67 zJZA44cqukLwoX+drIaRLt8dpYBG&sw5NP^BPVQ%wz_iffYF2fE{49g;!%VgqxjZ8o z^QoB_xo~1Xm3Li&gT(#MTX6X)g}QMP%VLu#Yn?7t0>SR|a_afeYpHW3X6mT|L>FP< z5WMS8)~`RyZ=GFXe+qd0kK9ve^g*E)+{fAk>pI>b+KcVxM|qKiEl#_{8-^|TLM(%S zJxjreL#*ZW$RTkG6V@dS75AhxP_bIBzR~Jm3Qx%UPd@?Nx1A>z``s@rU8>;=imqt3dvewaG4K zanKj-{=DseikBO+Bh4Bue&a*vb*xS7xL~~uW@YOmHZ6!zkDl3?dzbV-(P-QxSwUqb245hDV0BVi z((!e0vLEEEWu~rr(>;x-l!#r|T$tlhsxrLoDGIWRnw=OQB!g`PMg;mF~^iTq4VnP9IM(QfEHX4B_v$JZdI&Urc)m}t*wj-NNF!ZG)-)G?=%QC)=7 zVXY`^o1A{9obnjL|6iD9J~+ZM=o2^rj@L{fHL{sYv==c*m}wN3Nk#Jz$Hq^DDgyWb zh1kq$9gKhOlR{~Bz^T=(81*UkuEIp zLAm;a6poKu{zB(A!4$@;L70P`8~WAy*C+Cel*j!_yF4>u05a4sb0yQ8BtFWVy*c4v zDm)!O-Z0_g-bKWHI=N)5_3Q>`ewR%Tb^0b5SO zycIJ2wxxJG+F{i@f~Q*>g#r*#j=t9q9L6;ofK%;^hR{F0?mlSxN9Of!s=U}H@`wP$ zeBt6SE#HND@*tw+&j>f80f{B_0=rolR0TA-cYl0>+_7!pzp;mC0;+Q;jXdQlIRbv3 zUVlUOkbEJU2V!hsnPnl~kSrd_qW;HkGjWuj)NOW2&^O?Zzt8$r$T=_5m~ZnZdIt>+ z@NTExb+Z^m%F$@m=FlA{}L!{ zrjoMR-~2JQ)Hy(bmmd>MH1D^e5pUVNLI2Ac{&{mOdntqA{DdPH8-RC7II1R`WIxfy zhHzj1C?^__Z=8vJ7QT6EI7v8BJ`kT$aZUPxAYVp}rr5_T4t0Qnh`T)Y(25off|0Js z`2Rh|uWbR;7Gq^7#X4dTC7Xm+2}cjIw6#K1m1KA38RL7lITY1MQ85wIx#Imgg|0v4 z_zD?Rp&%Fw$b1`oxhkA?8Z~oxly75J`gqqC+GBY*wt9zZygm{w*}(JT$fr+UaA}~3 z9k6@lyJK`l>0yy$H{)2c$ML(N^?Xa`?9UD0;iSFw`DK#Mz6}h6V0WdtT1~q;Z0+I% zOTt?11RuIbO0dk^viu9Q(@b|eMb89Jha|CJ>dz_iTKac+%NjrDS+_M7-+Reh1@2bR z_-IP;IT9X|HG2B514@K8A_4W?FB^8}Rv1F|z1L4l>Lmv|FV%WBD3Lj$GjT6a0U7HT+tDP>1logf zM_INguQfS_9_w=u$Jg(x5m(qfO!FDaIi6hx!Y`N?>@N#qV5y&n(VzC;-SJ=-*;{_} z2;)Ci=_N5`+0`^Sg<_-uyTPSxBZRttstDoT3lB$X z^S0eypV*+TboUENUbuc;36!jENiCR#fZrhp> z0&Tu?>&E$+^9Xme)(o!(6npX(&oXfMe2^!IB*$`>35{w(JBN!csstNQRc?&GCQIKG z?z}CJ-z8)SDVAiI&0u36TG_+|nq6@)G2gD^(jdgtHKV)s2E?`7e;5EcK7i?>Dg|~w zNh5IQ1~dfYR?4*3?Wj#QhTb+yWg@peq2e#|&s+!n%Vi$*zxpWiOCB6p^0x!?W|{0y zYt;DRgk>C9*MZZSFdoU!Vr3b#&V!hjAv&2ej-NT7C7V#*5tEgzt9 zZYy+R4>uU&Tfdp=hm~1O!j198k{sGQ3t8kTwrG8L@pR9r?-*j;cCF=oblUQLRmGw) zAL<&5&>j?T?6q4&jPEs7W7vl)&TN9tS(QEe&%Pu)iiHEb-pRzfmjNwAAkhqA#T_Ew z36iFGCW$kpuiOr+tV`drI!{ZL`S;SK5=UwR(N&4jdSCDVU3iXSc>DmWu-%qF;ltO| z(0yuP8Ta*&agXuEcVEA_@#zKvaFJ(4lSsV1Ves-p4B=_&cghOy-3@r@jwrbTGn>Nt z%bp+&&>yBGaUL@Wcw)fAf+fb)H!td!7xZcMYaL-iwR`5JhJDXy`CNKQF=%BnrZ9cy ztA}qdM3vugWj}hcUpKw&5!LDdt5Qk0MDeSvbI|aT{P-A0i|;-Atrck%Y!Y&_^5B1nyJ>exsv=ZWwIiuhf@2NR*Skh<$gIqgCa%_50CuBq7N*^93?g z6$(p!wzu>EW4jK4E%u8%DnHK@u^easP+UBii}QZB$O1b1)4sKSQ{j`*LPz-zUITt8D*pa zRv_pTG#PjU8Au&x&*JphUYm6M!CF=uX8tePgmD`gK@x>B;5eW1QLM0h^1}(1vqJ6n z+;MHgZ<=2?+_%Uhs=|;?BowUVw8qrNz6|diY+Z%U&4-7HWxoV!Ud`do^$|Tv9&EZxp5Nss}C?}zN{=VSStY@3VTx#$`FAb~OYw(gP%-MNB45^aYIeLx63FH(^8V&Cd<80l&iStU~O_C83jAiGC`$TDXw_g|ktYDZqc|O%qa*Y>1dcz#kxcl1!wtoe$w)mB6uwkI zi?{Dzue>+~Tj?U7jhT$>;5@HSd!BE+I@!BlY$+xjp(pnOU1Xm#4id3{v69CxK9KeQ z2d>mRRLr`_RyWsY1Brtocbc5h3c)t3eBNZH3wOv$=Kil2_X@Ovy1YwOqG1F66)190 zScrtucjV#BEWN- z#JGqiy14vs?t0j-w)8wZt~CR*XT&r=Z0 z_ENjXn>ULD3%wXqHhbjmP=9J;VW@>B#PMhCAkRtbns$@RjmO3 z5?69W;OPFAsIScj5UXFw4yfL~Ev~_aOD47oTnGE)R4M2MDPtus_OFb;7Ju=0qoRhg<`gfycgC#w0fh|rUWAO}6goj|49ll- z&zvSD&x`UBJ#hZ5Q@Z8K!oRsPo<^>hPj_>Ytd5fr=il!?mx7B8q;17SpEqeB>*x|c zF+l!%$W^_xa(LG)BuzpPNvq0*R(DYla2Gkk-Ks5(7PiG zvR|D7B~`u22F)_8XPlog59!2n^qf*#H0&ABoLim|z-%jqtJ30*;9tg%2FFZa!PNYZ zMBrt|q;S15E{#r6N8~hvb&Bx!|q_s`LTx7fj!^1ex##=jGzGT}NRa-!Q(!E-9hhW|AvZr)Q~gG3uGm6CwtuGc zrsSPU%C{S5{r)cBfeedyQpPFk(F!U=by3zT{Jl>3rz7OA^QbAFTM`x=1I!GtpnLu$W^??HxD6UB2rLe-fq_UnoyZ{w)K@G(Kh!&UeV0ODFj@v9t3aen8T9y;@- ztQ2OGiU?g_*H_N)WWTEVB!U+?={^>o1)keDs*UhYF3W?U9`wo{@=&6 zdSE)8EiH*%-W$bWra*C!6YruR@JH=^*qNgqj5sxRf30<$sPA$?%|Y*5pcu>{@$Y&@PW1bSdy60Zr$ACBUZyllxVQCE?^)cosRdqOFv-+J+wg^rLlZ1NF7=EEyU z1_I>6FxdkU+kN4_8|!cWKt8xae5LU-{NoH|;09gj|C=l%;0x5!>o)Lf=mI4H63g`uG3gK zIAH{X>OMqjHZNRtw*|fbsSvr@ZA2`w#o#3B@d|>*v2kmDw8&3nG>0W$2qk+{t&l6z zACysYWThCs6iD-M=BQhzwcDE#p69X{37~%d@VrFwI@=qal+As!k{iB8h@Z;mpx>5a>o0f#{k>@lW zOtgs>he(BYD4{)Un>mh^FiCg@tFCxflYPBR6*#SS^TvLBGo!R!p&M^l0Ls6BeE%;2 zbD`L|=OSg&vGffKQpV&mHs?ZL`*jXqKHK})5FoXTku2!XOO8vUKC3Iu42$$#w3XA6 zHigbip3A_H;YzitfTU@}%fkv_bYv^#0MS)2o$aawdwvqxf0qcPDcw}>r{2>vU-VF< z3Pa8TZtXFjQeuj{GW49cnrxGyhxop3g#O+ZzdZWrn_6x2WuVU@oV|cPXczZxro&`! zj7;b92c+!l2+}hDYc}de{DKoOtX#dlG|VA_mCojd%NI<)mpoh7t!B(8=*jw}^(Sh7XLpKOuo?sYYD5V;jM`{7p)C_( zxvp3wKz{UfsIu9970J)!Xki9M!nYE#I)M@uY|Bc1*ut9Gni9_}ms0K5jf zn))AOU$#EIx$O{o^pe@Vb*c3&RZ^bgQz8OK=OO7mb;3)?AtUQ4J~LJ;)N8eAjcq$O zyphqTfrtB8LYluk-X-mRCLN9L8R2Ssk=s57r{WT`7`hvSj|l0EhcM~yV7fK7Efb}m zwGC#px18Rx$76?xa*WMe_mzC~V%9k5v~r0!H{gqsx9bcR$C>t`rhix1X>=Yw8esII zJpAPME59Z7;2{uei{#3U`e)oj+tp}c`=mu~RvG;Y@MxZ)?g9q4img?k2sJyf@`%bt zsWr>`RFZF*zhnhFkGTE?uTv|?@RXs5J*thnrH8q5dsGVM!zT5{agXk6h@$#opdUuC z5fs0#(Z5#DhqmyIH*IJ6>;jN$5h`_l=twe**Tf$W6+)mSb%9c}-Yk z%XzRp$^Rzeu`a;;?&YX<5$u%Ur0yhGm&UD4G}CC@-F)?x%K|eZ<{A%P9CE&S}M@NOh9u`*G%=nuy1?vBxP8nMxm@pgHnD zl9bCHtIC+tg$E?DHpoeJQ7~F5Boa&$@#6d4!HpP(?^&%ajQ*qp6mH~POSWU)1%|=a z38*8vvdd$(zz&ga%p#xDivA6?#E$7-(d6-L{-P<-%~+6o@NnNt1HYEIBP?7J!G8J~ z+ug?8Z$;+;52>rK)=scj^^vZH4t06)H+i?_6v$YgbHWlcAao;xwx@={pt=ygR%*XS zv%bp&dLn-OPs2 z+mbrA!ZX#N*^w*}srH1W$+(;6~i1JiUuazf=lzel%CA1sqP0q&}%>6f3^VHRpw^Dysy!X0jBO;an(gxF~z4^bn01l<-;FY$oF=hhznt_;?024s(S^Ka@#@HepoJ? z?0UFrUwJ~VLqU`N$Fc0uN9y8Q@xP7c2yzJI4MG$CejcMQAxl)rgB?2^W2^AVMW`5N z82|4HV6neL76hD$+_|+fYiU4f@0rl9eC-qPr)9M(GRmXa6vX?7t6Jrootc8x-QoIO z8{a~Klxm%klqq~?^Dsa)(q`xcPb;0$rKK`l#HrA}98wH79v7{j%o>uZ3)%`JG@zCF z;!JSK^+ru;^JA{52^Ke6CGz&=QrS!Bn?5;syJ$zstF=P@%gNAiEy9^SY&!YfPr_mh zjnk=LUDN^tP`quM8a-~(GBQ%0SM+XoM`tdpa}M@eb5)sn3ZqCTuomG(Y|<-AdqxU7 z#mOb3tdvD;m>a@HSQ9s-pHzl49(_0q`}ByE_#x+K2qx7j<4Dvvu}{Bc%-l}w#)8+KI=uYaGMMq6y> zFoKD^n2(T~SQYuO-kB|P8L``6zkgmK$4&cugmP-NRv!X6xi%v$1ULmpx>$w&mug%* z6CUsRJ}Gw*z98P(U*xkt;ttr&Y}50o2)T-9l&>Psj5`p6=w|nalfq8_(@Er&D>NLRE<5fP9j6R{Uf z%7%Ci19I&%-v2ii=wpEhqGI&uCz(*Dv4;M0=31@gmKbRo_d9cMuOg{q;{cq@D{sD% z`69S0N&oS?;h?6T1`%q80Nc!H9{)8w5Yb#KVJ6X5@IZ?A()!#8!F|x_YvNWPSX2EN zRQoRnZrBrBV+rqRBBSu+x5;5w>2uK;vhV*f@nMCKlkV+JD0}gv=W*-1=gJxm-aoQ;i{)@4Rysc`>03S!+dZxjJg!{gM_+&tOff4lzoKO7bR_y4mmPl}W0>SiaPn>(Bz{$QhcT*hnGCsc#EiXZ90 zhoAi%qdYzDsE+~7Y9_v)I#uZP@0-N~4-AUaVWdhj^N9>gxzmet{v=;42l7Er+{tL& zY3gP5Ln@6?_K)W8EQm1+o-y%|InM*=E%E^R-N!fd+H>}>&|K?JlMYfc%uc5c9%!SV zId&;UpB%Cu-0O08#`C22-YbfK`uQkmMFw4g`X1M->c8<=^5-2Hi~h?mLD(s6G7JaGqMM{`!0F0lmX-Iw`yLLKKpEy<;(u65!&&6w6+5A;1Q2bc=9ZBHRNON zmGdO+>SMW4o-_Cd($`mCFT(is;w8=o%0p!fgf0V6*I(1)b`x^H_o-}Do_ldzy!ofp z^+nrjlH@UT*BwLY&rpV-+}mdxKL3O|sng`GX9ZJM)8%^2pG+ZEdHJ6pveCctzv4yz z2Y)XkmbaAFF-Tx=- z%zj3}ox6dooF_JEL{rLj*Gekdv6R2Y3?{1>Imj5GQJxdZJb&i!L}kL{di$f8$l5A+Iq_^%FYBk@KUsRx$Edv03#xC@ z)o#u_5)3-UOBpQ|+xN+q_I?@e%9F3?bbCP7fw&hF`9Pj2z=l{4^o6y~&vZFgJAN?U zN!`8tvgnleWp0;Dn5~^~&gr>!w zfkA_4)@$F3%bKe(gqM+T%q<7vDT}AZ76zd50Gr0YdYwHy)E~&DSMe$N34fVe(6^n> zo|aMia}sBV2T&P+ZlC=@tV8w|xxXu;_?RPJl}cX_?Vg8b@s_p-G@QoNTQ@vjY@NDa z@ z8}x>UWL!SRFU{3Y)-;Ss==YTk?s*>-bJ8{EG5_&^3@0fZzV@`^wvl9Xj~!qYTJ^E` zG}Bu+b1EB62ji~gFnH8i)=z!L*|MXbY?|>%f~PKwg+ezaw^{VYV%ng$7q2_eU7z`2 zSdv%O=lBXjmp&Dqe8oc|I>$pSjw#G9;n7hrH{_YGU2aj_{C9ritAOwsPl`MM3ePaY zSu^n35mN+wZuR##;OLKyRe6QOSWL$QAP-libq}OU_R$Hp)v2}fb6GF z>5R#k--7uy9(-=3FN0H67$Ry8;~z$!T(;#r+K^Y9zBS;CU%a<)S;T|09o<#!v-p+$ zWmc->=k_a@`goXh3{%qZ6y=TyGUh*;Wsc_`4?r&v!*j?%UmylAI}U*z~CitBB-pg$AqK+A1M?H_j~#^Sn%^v+!4>=})BLD#vce4Kw43>nHu)}b~=bvjT>DPkw*1xbJJ6S5&v! zNW;w8<+|#$e4GZ(ps4rDI_YR}a6TY+X|Kr3>VNr{{qTP2vTew##((tWu((IBXvYv1 z1La>yPcOIa9ohvOIJ`~%>W)J?gvVMupx*iALGcy6ft6Rk>)56|Hbd)QBY6&zT0xU!0>%`a( z8CRM3BHqckaQ}08f}CLhIz0K1UI8y}kh&ZQvZG|98x^kokzOS~zVxc>_FmT@m*++- zC{`9U#_`q$JtyvyBPDsK3}$8nW-A!qLpBgx>b+%!LDp#JZM~KLC3#kqhrTd6s`*Fx z`9br5ypnF7d8pXF;Zb>ylQEgRV(xtQ+c4JbEHD0@y7e!LE#*%NJ99N6HU4%#DK4LT zNv}E9E8F*Es9H(9k!{}BFr1YKOuc#@Lq!oA#;>Duzf|94Jk=4x0QBrr$}4Y^Fm6Kd zLe$s&83v#S^8kweXd;oP%JJpb(hyW@@`3tX^@&MP9v^w-GdjbowB*z zy&d(=jZ&kUQ}F^ikP#@agvZk)&hoO|$^8p@Q2zj$b-#-zio-x#UTX{VcUSXz7+4=> z4uqfLh2}jB6*o`cr|&mu|D^q@Xh1)JRp4s}KU0C=XUSI?mk)~1wD!EI&nw0LE{3Y; zMx(B((nY>Nr;N=t4mMAIO&*8uD>k?BtSUpxvesUxb}!8^01a=?GEg4Mh&#H6_hxvD zj`GU-3D3=o&`KVSMR{1=I{lywYrh$ud->rJ*U=a?R%_@Sewwf05mx)=K?2(&gm-)`r6EtW{F&{w-yyy$)eauJnr{oK~$+!le z`YV{M9%l3^g3?;)WKBnO2|aguzKr}-sf_Gz=w+_k1}#CPO;NLQVm*6o+LVaOM1L)u{VZ^SAC%cY9Yyy5-@18D9m2FXl6s z*-WO4cP1hx?S0Ld-ZZ)W>u^$UEC=Qf&O{iZc(daNeQa#dS02zh|02+O%XlTf@oNFH zu*61Gmv-EV!LztzlHPIgjNYxHpXRgm*7z!*>1)fUjXU2o%o)+~jJ>$%W4;T0k`b&{ z)e(k(rT(}d2`9_Do*K5(k1?*!v*C+h&Y%zasM~Qs;4+=fMIAttp$bQhR}Gh6+U?Iz zhx#-i%yE#14jF+-(99dhB|vAB8sqaI7u})D9MmOSE~jlI$@i}E?(;luI^R*leDJGF z{8%T`K%EO(=J!ecJUYtEN4IEv7KHgcEa4Ks9(9pTdZegl56htsx=p7WUpHi)j91iS zI3|Sg5(a-$^TfI-S+0H#vhkXC7CZ%vRe5zfV}6#r%-?09sdG8wi$L=j<2*Kn!D9^F zn3RuEz<3Yic^(9C@WcQv3~3KYqvhb@#+QYxUl{p98ytgwVMHj{mPZ?R+pC7i6hmIt z9s0vOY?@Zx*1Y;+Ea-t7kdR(>V$(OXD7l*&*oQm54>Ffy1k3zk{`&_<7(B+kgnfc> z_E_9u7(dRCAFZDf?KZ5z`0J8hB@S=aLAUvAx%c6YH#~V#`&f-RygJ*(w53pf4FZ#;-lI~i*FF}`L` z+D`xTdn3I9eqV-<{d;xj!ASF`Kibr5#q(^${Z;(XOKCh0dFho=@r$RaCq{z_=!DdF zr(Plc{qGKon`FntJ~4ytIJIZy9F}oOf1C}pW^kscet2s|Xeg-f&6#7uh=YMsrt_SV zb%!6L<(3oaCBJz?8wQfk{C-@VJ3pI#3_yRV*Q(zu15kM2`tdxZo_v{UW;xB(ZEN+v7xSh*`;+bdn zix*$w{&X^LA4VN~XqRz&R&SlYO@05840dmo4xc)eZ+Hx^f$Cvbe~<^|4cP|p;kj~G ze)vT^tQ&D}D2($PYv3pHQ2W-~<9PKuM#gvp4HhfUq9F`GI7O^6BH$cjHKNE&RqORq8xo{4LyodWAddg3+IKvUfQrB{mag=dse-VcMHnSZ&zlADYmhbJG< zuYMlW_cJo?Q@!&1+HU}QkBolh^%akywqUOKtSA{njz0Q3(Ih&jWGsEK2ha_Sz-oQz z*GFWaHE-utS(nQr;oc{zmVsR|NZ$??)OJ{2>6O$n^eZre)oZmCS$?R$L0`1j#L;UR zP=4~i3d}IT)%e`J;fZ2P-d%?qC(66RWrCt)_@R2rhadWn(c><@TW;!0coW7j@$#$U-+AR{4m@mtpLndiDU7(s zTMq<2Juav9jeQq)e+kt$^^kx8?e4`l!t3T}S6)EzQd*`(h6DY{`59wXybW*22z1D6 z?BR2RZ%}}~v)|4p_2a!ye<@m?7vBCwjPhviDo%b+qIx80+?SE~j=Y7+6RfQG6?afw z5I=Zzz3MKu?@>LXGYFdIV>_O89Q&EztM;9gkWjQYk)Fs7kNos6*ZI1>u+LLE_xCi# za}D-@mA;EFefyt<<3$Hk9{XWh&OKh@Nu~5#|47YwC+T1rgsdP-HFztexCjLm$-ehkkHwV1GzlHJ_5HZ`>{#?|wSJ@fM^X z=tIbTSr4EoBs#8-`pYNk7eGM}iaQOw9*&j+m0XaI^b+}?4`>_rCSf?I#bQ<{vsYP+ zuLHUfD5CzWEx_+E%7NF+0}7};o2GbZRW8h#vYNk^gKIOs4(K-8@@eDFcTk9q1}}r3 z*4s34VqReZVw1x>dEA5LU^@G7#~&0XzjTIS0Y(4RAVZrAt1zJY0?xm&p^y&26Xrg6 z0DbdH__fmtE-Hi(24B()i8eA67l$Od=qEh2*XG{G~}L|HI84v*}#?Q z!uc10Zo}n_Unv*{lG0`RW?klT6Fokz`z!O=JTq>Xze20~L_gdo#;EgkLDzYlx zD|Ilm2UWZkI=y0x`8@?ovZvxp`PLPryc>8bL`e_)X?R5C(&n;W_s&nFn)&K} zt~MU|;El6>P|U@L99mowf3t|L(8xHiTZhG>2Cr(T6%=U}OWscK$Bh{MhMwJ^%nf07*naRE_c2pregD zUmMb|4d_6RxLFnvoOjs2_~PCDSP9Gl)2|oHrnmDifFphO>9MyFWDXbWa~|QF{xe6i zcSV=u!cQ>xuf)(E@#!FVRF3wQ<&9Tz2}&B{!+0B_EXcbZZ+u?5^IZinM=KJdzxh{E zNjXfx!=*<9`s4bI*L-$NO;5&L$1R_3ewc5DZGJi4@UZEw=irdx<-I9qABQ|I!*m-z3}k4s2D8s3z!x4eU?|C4dMyOj3A_k0?-STR@2tVwspVjv89xj}K7Q3Y z^&*oi^+O@|s|#XeYaJpT{$A-HsI@&&+A!7hA4V>ov z+;zP1=D7IvZ%4(21zxSq!#X@(@+$SO-XWw6c>0a=nIqN&LvPFb0h(ZI^Uk}Y;y?Yv zUcMTti{fAXbgOvyLEh?;-ieu1Ip+2i;EZG`0M~59#K6{d`J7` z?e5i%Ibu_9)6M$~G$VsONwc?~6`Mc<_AsHzOIW_TL+FPjRR8>u>&I z7+xpOsZT%u)qdzI`{k}sPQ|emhF=_EHn+xMtbbabK5vu_)6Fvc!~^IVc>={y*JZlu zn-|A6fb%A_QjeY47s<1rl1pPzlM*WSNBF5Z@|;<1)jzjK!8?n!^ki+TWUvIyP4 z;PW#XHpBB*USqE4Z=)-P{+*Uh$$j?>!-MXPXIcBYaw?8aHPehA5Ym^bIvJ7dfBg5d zd3jrnsAE$>hEb;;lMUW?<)KWkRaSaev&fEkX3)F?C@U%(igNlB=}K~6b(BnTF z^mP@~Tr6YF(S`n3zz=Wyi42Y~WGZRyZBEq6o9gJ|^D@SJMI;`^7!o?=oo`ECKu>*3 zhLB%Yov+J2ZI%J(z3~e8LS9yd|`JgHZF7nfg`{$SWu3bB_*izc}L zGDwsW*-)=1A7hxNf3$!kDyT1vj~J&UC}l&Ry-)s6={IAfhbHkCZ-U!rzg=u>-4eMl zNXk2}tdF@~OHdWut|QvG;|~qtEw6ybD6z+&b0F`fgHw71{Qf7!_~NrN0)0(+52JIM zD`aSk(cS>Vvjl|>EFP2@^{VS_h6iwt?a&r&NemL`Sqvl?b(LwzaY3yei z^I^lcv`)FMZiw938^)eZS^OOx=nr`h&KaM*F!U`I>ds~{;~g-^w|K+eRJns*{jr`l z+YLIDDf1=$p|hfqyJ~c05mHTt>+ZuHzYIj=bOJR-O*m%cTvqof>eHX_0IFyyM}46i zlb;G9s9=U5og^Ovg24(S&}mKC5#KD|uJ1Zt^EW4f`MC3SK@K|zcOc0k+)9BZC*;C| zH+~7g!0sxql2>)S^~wD(z7A;qq2K)CBM!K_yzm+k#)%pa@SB0pI5Az_5SbAA@@4Ak z(%bc|A5ZOa|I7u?6NxjgU^vSh!<{uaB`{uukN$PDYpLg#$@=QvWc|i#{yD}q9Tayt z!*+d+H#}^*>!~5U3S(m}RMtPnczj~vq0RZhqu)7=9|d%q^SI-DbD@Z41Ib7134LNy z9OF`ugG~&{xfNZ#8KUp-KuUp*cn#p!(3O$V)!V%(%8@h18yp~*kFEb)&Rz*wd)$~% z;|GP-=a?5QPtA+yvLEKHZ2Xw$HACiidsx5#lzpTxx!0|umV>+4hdX{AjE4-`1Mqrm z7B0pc56S3<_3t>#$FjiqDZKJQzx2yS)8^Bag66;5H|}wd2Tk_C<~zJMzvn^M>3qi5 z0nrnT78%b3^aGDN(0yEjbzvE=q?U*KV0;zOb;2R!jmJ;)l)XK3AN*U@gE6+xXzG^tsIT&SvtDLXGMBG4*l_Lv(=8e-2@&cRG(ef(ZF z-u-bo<3|nYFY_S#HS^sx(DyvYXdajDSWldO)DZc=F9+l6fNrBLpEmA%*90^p`#SUg zv-hS=k{m~xrbpzRb>P15o47&nCcB&6)6>%;yDPgtWM)6?AL$j@Uoo=tZC9kXw|n|v zlU#xah?^il5H|=AAg)4H3Yc z^}gSgHW}ZaMLJk6>xZ7xtp+pe`&9!(crOOptiM_Q5=yg9T@W};Q?E9&*^g#ED(3>m z4E?oEQ0_>VRIEm315?kt^wfQyy?ZlOWFR}mc zVuwh(e$#V$yuGeyH@`G#X=yI@I^Y+;)Vkhh@&eZU$Kqp5e%Cjv4{z1~zpFeEM^(|@EXIomoweqL?A@~|U zN0A-@Q?tH}4S6!uda06^`EcCi$JZTCyYGCBcmzf*`PdX6;XJ97gYt)dYUP|JX5V9L zt5>}G+Mswz9vSy?lsnHqx7{WH;bU_Jo+R;#itRveU2m@^(g|MJflihJ)8x4M959DeA<{{HzjJWLLYH{RR{fFiA! z6b!_B(6fB_VH$Rm?-#Pa)%9b!5(h|A6AnM_9f1N; z&z$78p>gL$dB}X}w*nVV0kB?sP3rHa8%mE-qMs+lsh)CO+~!G$AH+#iF~2dyxgGn7 z0bc+#{_)Qe5Q*ux1^BrC-oB22pA*m?@M2N?;#b?nM<1&;3g!P%QKgZyUzDRCo@wy% zi6>G1POJ`<#(Q(Nle|d1n}1s=OlHp1lKa)@e(G(M?u$630K0xJ$BuveC-Ys>t9gey}+MPUr-h&6wQGNCL>DNxf1pRt_y;ppCM&3u|f%L6+Wq0ChuYoor zt7`-te)OS!al>^y2kUD7R~5VElbntCb2{rB<==l=eg3oQ0MNbwpmAJrRB)L3AW$!_ zwaeyv0*5^wu!<4UZ$H zPdp(od$q9>de*KwzR);H_y*i{V8OHXVE1JNa$#bfvs%J})rS zOC1H3_tf_!&j-X-8eFc|^u1&=(lSO_h5%8o1)wxNF&t9s(B1Z;_Ew>6xO4&dGXS9BdGfIBttu$L(0;s9-Xiq3 z>_(pd;48*i=`bvaEMkp0iRU852{ggrcK%QQJ&w!nwioGEM|1a2$eZB&EmE%rG?lIt zTXHe`bVWG7Fc7mqa0qqn0RS2vKp&C(f3H8;FJ2Z8)rZ9cW5?nR#p20Fi-qNzBu`%K zl=?P*W3l#owf4xP*7Mn82w-*dP4VKN2MxJY( z;8?X}91g3Hr@E5&f$^-^FSg`$8a->g-bT-o@l5%g(?0CU@P@k}PoMxo#YXTD@6N?f zm{!HE=ArWffNpdHK>M=Kc>zj$gU>W3zEo_lza<)n9lueCY;s;8)fL8X0mMUgT+iUW zWZsE4@0D5N*~5FSs2q9E@?8|&nY~@cB}C?REh#LFYXodF9@onYyeHs3y0xc$V(5+8 zZ{!diUw3*+%vhPAZeNgN9GQf!4ZLZNXVcQI`?$o6jcL~joMDcMey%q1{Xz!o!F4)4idnGp z=$Z54u2=@jSjBo2PY-SvF8~1PGUnsOgK`dI`oh5Lo%k4}X)!MX06gI_EQbso6w8hkwHUKv~yog^mF%po7xOw18y^UgNCloWf9(t+rjqdyU zQN+lbjrTg=9P`eYcNF!-lNI_L33OleQ~)z3C>c9r6#%&CF|BeQ$+uk(d%tgan2yuU zSQG`Q&*;b||SM`&&~lzF%F>4mh&EGR;O$9Hl7zVXE}w^wbm`c31vs^!9sSLtz3< z8068Cm|z@azks<+?*$``2PxKO+@F`RE$Ss9FX|XSD|;);hy2U-RrVP+fIRcXZ5;Kk zmlBp=&O_v;chzFm7kVkL!w@gdnUB~sCqJ8f)%fRpG)KYo_!jM};yzu2^ zKJ#HTS#n_v#$yfg*e|`~nx8()GfO=0N!HkEO3`xX*$?^Wvmg1JQnvh?*GJM$eLKB7 zcFEm$zUo&jZ_B~yS;VG!S^Ad5<#^T-@Yo_(+m&Hm;A-};_Y%|%1;!I_ zP+lWndtGZ|t%0V6<>ey4XAgZ%Kso{Q#_Jd8L*TY)?|`P&G3h>XO?UfoG0B z|MAbZi;a!$c2fph=ScB8?hx-a@2SY^0|E4&mKW3yDZSe}CX!9rvu~ z2#4^#r8RWdi`dv(i*@%%XFQL<1K{1g$c{Zno*mc&;`x*S0QA}C0f6oVz|j1(#dvW2 z`r~u*@Ojvv zT9FZ8)TKM*J@GdIP->?tu-2YDfJ%0Q^WyV4;VgeAQ8Jm$K%RI3UA#lO6wpoHS_kKz zj(Xa7C13y4cO++d0HuS}6;5KN9zeB+yCv_RYXZ-0zN5P6&@*W7u7=5i<(+fk)Ys*$ z^LC9*n!Lhlc4aItsDFx$p(cin&z~xG&IyFrX)|dDy=4Hl_sYYlj+PD&jivZRC&btm ziz=vDvqy?3Uu`)M9P0f53cI>6KBjE)5F&!3W4)Q1J$6KJvYVq70^6A-Ae zUM9}_xR^`akRAj7Spg~mZ2w-O2k?iaW*t-^K?3aUK8y^yU6;{7a+R;RrVxf z+3w~S&&#v0Cdp1aISlWrP{883rCTM_$BG3VSuYNPRY@+^FV%Z`>`ZenqGZj((kha)KGmGFRxu~VNRVF-uf0{&L1fTy=x^6jXla9cD^gtJT$=rXm4(% zSUUYJ_1U|{^Si~ynP^lW5|VB`*bz`FpiQ|T}8LEd~HoO!Va-r*a|RxiKb@7TE4 zqRAIFU&<$l%lSFV>1QK{PrIChBbepbnm; zD)Pt>QswoGGf$lY`#9#?-&q~N3V(sK5~1+0u8bj937)u)7c$$u|Mh==6*_8%FXhI1 zrn71c?DGBT^0A!u8_#34LcGr@?nNvL(k3<1flwYtSfq+ad|Xar^1J0>`CC3tx5bp_ z=sh}OJlsQ4AtrhK(sf%so&Ld~(N>;*QNM0}eBJ4?$o`QJW$2V+krg z7W+ki{6bIzT<|S4C1YLPjI6Jth|Skt`cvJrVZ3nH{@^zJn#eJTW1SmbHIY`%AG|nc zT{f#=J(!-;(_(mI4YU;domvseR_z_q@^8kj!`GdjWsLpt5{Q@p&;$Vc?m2gswYJk@ zp1>Q@VR*3~T!YhliJ6pmk;~ld{0IVYF5^89uAw){$R0K8@?%}dOILuiZ6U@h?30Zx z5(W z@ArN)f0<5TPp;3Ii@D4`9pfwWbG7j5C||L4T<)6>$7ay!W<2FSFF)|+$TLjHLJ{jc z)>PFC4;$(}V&*jD?FE3-vxv=S=(E}0MjHJuYb_LjEb+r$2w*%|Go9la^GwD%&inzc z1Z3&-VPfmy;QG-TP6|knEug>DH}m&~C$&a=pf3ITTk zzJw2H{RryI_U-0B!KhqU-4evwx?WgUn;X0Hn?JU_&z$KMzkY6~_=7wH!uGUqQrH%N zd3WE*514XaG(n*38Y}4I+!{h4o%hjS=qHG$K65=C43Feh-cSB20hag2)4V5H7BFyo zr(e7*&?Co#19s~Q)Q_D0=0D6AS6?Z9;@O4up#WNv)jNL}6i@wXr}*TP@`Y*_Azg>o z6*@-z$tQZnEjMM~i602UVySrc2RS-4fOcUIHU5!{i16If^yoQO&hk@iy59eG94Eo) z8Ff=2zh4W$`s(kegQIV{Q2Aj9)>COfyV8BV#7Ew|;OF^?_M4w77K_*% z!v^Ddyi%$0?Ru4atsyU$C%vKZ^NbvuefIgV_~g@~_>(}F z=L7@=5Q<#d+KfaAvC$;XIl_cwF_Ki6E-7x=R%Zn}~EyR={1%Y}`_`<^|33ZY*1 z$Jxb_wT@OE3J5sdkx<)0Z!v+EfCd2@we$muh3CL?&y;kq$*zDF_8PkAhz4Fjm+nY# ztd5$_0By>&#dPLP;TB&JP*old_jSa$dG6pRfR(otJ$aT4IZX2ay8J-N6xAAq_00h5_eq|wH!299|F6IZ{1!ld_SRFQr)(Gq$bHGT5CQn?W40imhORhI^9 z@&NkZL?;#r4GQ8zoAJAsGnxMfEH%U?-Lt`oM)o{XM$w2C#Q{?w6B!181V6xqB-Q>H*<4 zwU0gvKazXI@J{*=vE^nuPEU%}qT$&e3!wO>sz+bD12)lHxG_924!3lC`9vM;F5h*f zC-0i`%eNPcrytW%>(^>r*SjjoJocZ}Te7KXK-Foy zPT*6v)L%F)@0wpL<}{7~J`V}9USRzYr1^kG#$n&swJr^Iwu&8jc^wF-o}hmz;Yb34 zN>FV9pM@57EN*J@v|N#CvG#Pav)1kbw5NVLcS8Mj;Wp(F-*|)NDEM9aY|3?#9NlP@ z(Oj~ydXGS+-xZ7em>}f_tJo>)SnL*$?{&F4Up@9X?tES8Sl_AP#-$+x)}yJl(*9K& z^}`2!2K~i}93_9e7vqtQ=Qipg@Z7-KiFK3hx0+Wcbe*3VI)OKUKFm@h{2^E9iBIg;^6H9_7oPk>ZsH5pMt`}k#^Fl6 zJaUVZuV^Ry>Mp|?G0#cV%QzqPlNq{7;ZTFE9e}`a#`S^t)Y3HGy{ZoFGln~W7z;o<2r`w$!3->Vh`FR_^KO))3b=plg-fS3lWF>>EP%= zF}ffi|LElL5UmbZZ+vDsR-e{`nR0p-v1#sAKgg8vvMyT&u}e*+Zucx=>%p{~uE!Xk z#_xP_svB&M834v+PHZMh3D$#S)0~!ezDqHVg{x*Z>?#%;vZq)qAQ$}|_x?ExnKL%= zf+PMU2W&@8&qbc?V-^)1BO1(wychuxiQef0EMjsIwwLAC?*8I_(iOY;zVGx=#k4B` zlJz!vp^1Vofq*U6IVBx0V{3iZpih93xrj|0www4 zyw_heF;LVefm->jf7bV#^hW7+etE!Er*<&E=F{o&z8`=sP^U-P^TE)?s{17ydr4E4 z7c~AwBeu*-jCkIt2#cZUSSCE{wCOrd`mB9;DF;wbcVg`bfP-;=oFA8S+~m*KXA`rg z-$Z5 zhfk-}%)h0V^7K{9_ps>^x7OF_O4fX#(yqs`Tjq2#KJ5J_z02u?N#QmHaUk=@;b(i-QSU##){M=Eub*EBG%#6z>}P%W(Xe>>8N3rt-^;|lueuW8W52lZ zhFo{KzEyeTWQ|RrUg|&Uko&Q{@O=4#yqHdUUj^?c1S!vS~VF+oJw*EtwS9Z`#!2)29Qq(ZzoF zQEa~KEpvzop7FN#IA?sWmNG8ofnTFhzva=t2XHH;U@hEv?tLJsJJ?nY* zhkA@HpchVOfxiGnOBZ31s6?dACiZF1OYnw{^nWG++c_f}`apP~k3Stozd|=#(j#G# zZNVS>W2ex7w`RyA;OC0_@6G)He!zJCe99%|EC8s+pY@HNynX`w)SqGisK^gF!ows! z>U9GCgr8e)mABh_@cucHV?E!*?{!6?h(o2-hAAFEIkJ1Mb_D#Ps%x?TLtPuRQmD8N58*hj-gG-&~dcD~`j_AgAA`ad}BWz~7j49tm zLm;C0t2GdOJB}yUZd#h2N+3m4%-BWgQCedXo^rqVSKa6s=#@W82=Lfnx=RmE_o$vL zC1)Kku7B|q4&54CK|jjnM>Ac!b-1sR&2$f-PiW#lA={PB?VMG8HAX`cZ7kIDwB6?# zfW@n03>nVfs`k6D>y{hb6%Wq^D0sN>s_c#NsjEH_2ymEaheu3}EzXU;O54ct6KKe* zaBoFGSoDXDiNRPOh&*!#-*a^wpep1AJ+X2tPds*Leaw#7Szvwpl7&S`ukt;@VCVVH__j>OOxv+DxSZk-djQ*+69P=WB!DG$^F zR}a^p(`NWP%2HoYm_O*3-w{CA%QQZfP0Y+`4q3YL&(vQ}X|1Yt2k*roMe%8|vP5t` zr^}di8`uk2t1vz0v&_TuHET@PbBq!GUMEEn*5&b@I~IdtPnlUG@nb!&OY3Fo-zjfA zk-o+nGtwlYkx7sBW3DTehNm(ev@DNE=%Xba``1zhyaGxlfW3)#*D`NTsjAAA<%1u| zNX5ih{10A(XKt2sxJ{dbMDRv0;IpL1O1i!0dPoKs<=rqhizELt*;xb*D#N%2!j+Ye4civ%mX6P#;a{`}%Q>nP8Z3!rNaOa02=?Ffbu9kzJ@zR$o=; z^ekc%-H(2l+{31{$YRkIiwqH9k;tL}8~ZARlmQ@}TmWGcUSP4o9Y+5p69i*33oynL zz8g4roV`W5pI8-6cg3^|-5S_xz2<_Lad0%Ax!*W;9nG|_U(C3vI~JqZYXHkGVxP4< zEgPpN#pDf7pN!GcmpusqnnYige=~L+zTTDg^`negdxjTEp4pXv@8jt0(|WKhNYg*U zQ=eo{V7$v?-Y54D%YCnL5Z8zEJH6i++qY*y%F>tfSB+3UKEXg>_$3%ji*4*RwCT(8 zJ4_5qO^=_vAdER*%q7Qr<#KlU=tqkJJ2Ef91LGPVnusq(sC$-0Z$Lqv3haqJq$3{y3xC4xi+m+!xmz# zu9*FeOFdZrZimyeh)r{r`Z3KaHlx*r#+UuxZ|1+qX~vha{#2&TmhbO7T@^_BBqQjH z$F*wVP&e~hxv~3~ujj-xb2(Tc(vCY)8Rrj4a-Yf%R?Gp+Db+LdE(2-OY0|&+)6A@k z0?sXHUW|EG2F)`L;5ms$_N{fco2f4cOS_z7%hlObpe zAAJN=&Gq>@V8fEXTxm2qqUCD&%{X2WaMqq$(D|BvSd=f78+^>TUdzYv>N4wMd$#Gx z6DKdmW$*fz?<2-z*2!<{z3{IEe8e;0v;e^FhU<0o`8RsSm8bK42J(hJd&<<0#~Jux z?*&h!t@_aYSzO01*4F#QGxA{i#+&IStE&x|$LZ4v0KMia)vgQJ_qyzx_b{)#0w^&- z&zQ@k0I=b{d*+JAAMF(@Itsq-`3yPF>-mH+AWTwe&K&fP-!iI=t(Se(|lZ&lM-+&6T`${>@j$ zE;Zt}?LP8|m*S#rk4SChS&yF+2=OOR?G$gl-K{U=cIz#D9d+K1Q?bvjDtM94en0Spz`tyC*@zcp820gF&$+Tnb=NfTsKy zb4zxO*Hr3`XLQ|z9z0Cr!~CHKy!+lPkFgKRF(V{agLM>ff^mP>v-g)XV3U@y~tS7uaYZuZzQTzZO}5cP&9)4ErYq zvRskN)PQF+=_|ecNiq21XCg7}Sal4V0byBS9(k4&;7YwrF`g0?0&Swfdm!K!AhhtL zhi0g=8AMAoIAS=Dfd@=AApnBg{DVl#i{tiZ%GgG;ULLJ0Fm?q{OX&cmR+f_YGgG!n zM`#1!8sf>WHE8{O>ia26*%*d}{l?e|J7u~65Q+ECI1ar-FBN?iiU2*y5>JM~C-W6V z8|_q{oz0_y26j_O8^(AXA`RbbX3fYweL z5P}ie-_rfzu{C7IwTVIPmCX##{C#PY4Vl)>_~9t+wjA#S=8-`F7#-_q2a5Pq9q4k_p_>%AhBE z!+vw#VZEifUkl`|vpSX>0Q^MnpHR{tN6d@YzWP=GvbkJr%Er!%mc~ASnNdN9Z0W=F zuN48g7w%A2@wulkDEd3^N)*qlu4x`sO)!{K!ZFv)mt*H`#^OufndkKbhWVAd^jx81 z;iL19^09xs6Y_gnbCJf)VFv(oNgk*Lt~8xxR8)`m^=F0_5Rh&Z5y_G67En;SyOC}f zdJqw%yGuYox{(Iy?(UAEhMs|eKi}W8o|pICtaaC#d(J+ey*DQSdV<}p2RCUWnHtNj z_*wDn18(%xt;T{7N|?E&eYN=BH*v3s_Mx{aqK;rn?#lm@CpS@9*Sv@+s!yforrZN> z)9h4CDy&h7(XDN3RLuWeLyC7nIcnz@gdysxbklECvvm0Esa-S@qQhKmWZ}@~Z@8#U z<9kVk?AXjPUzDLe8*l?H&Gn--qB|A8w`VmxFXmPSizZn9+K?!Zg^qP$ZWE;dXD8nM zBDCA7>`9P4YQU0d(hWyE8zX`-PN|H0z39GgJ_7QFRAnop|A2psP5A!nEqc1##%Me| z;LF%6FtX=4ZH9Q*yoUH_O4j4K);n1Y<@eWt^(*O?ISX%S*vy}=3JrkXg64Z)D-7pE(k$&aj-n2S zb~r;QmbfW6@9YP$2)T&iF0cxDCUxaAqLM(O>HGQqC=6z~b0+M1x3qsZI<+*lHbU;+4l#q{VOR)&WL;n zjeR3m#P__AZ#OfrB=G$WS>HlTcV;238Htm{l(-zwic(-d{br5knz-kP^IYKX zeB6Ak|Iljyv8RPiAH(xTyaPlygT&H_uz7Fn*5M4D=U%#nH`EoccxL@xbt5@M+ik_9 zQ+@}0UH=wM%m(1uc-6IVp~v8X-eFpC@2JvprY169svCjI6LBO4Tn;pvEzB3|y|K6U zkWC%zSiH#b;lhXgO5GLq^`KdJxU9kP%iy(Qh_kCWAPs~EH*N~kT07kB>LS#ESAfno zPC^^%{ZS7QBaQZeqhF1iM5wZIlR(7sMCqCYU}z6oUCWIKjUKr#P#(Sw68K;*mYsRd zX=gAvx8_w@A9(jvsCFM7Ea>U?%J9$LYV%&06O6*8<9mP47>=mEw3h@>Y+5mrS^IHV6m1Su(pt&(}-=TGEWB?OTuuo8w+}#(FZ@TxaaIk2S72`d2VznakHY=2Y!7Vn@i`quXOC( zIu-L8AthL5dslvD?xD&zBp507@*;u)f9Q0lZoRNY$6r3``ErecS5GzSY3sf_2P`&V zsU!;=qjg&`hdnE;t$E|*4Ec)Ztbr>9tlxbyybvF(*nYp(Pw26K|EY1L;hV0X!eHul z*$YNeC>AtHQc4U+=nIk@h>StbyN*YadjsmxA870Yi*McFOlgKK8-^|jx`Dlq6Qo7T zEuGn2I(i+s8;d0%=;8c@Ap>Kwb7>p^@jhE33ZEJM9cPE`A^>QjK>(y{{)m_%qqSb8 z@H;Y}))@Ab~w{91u(0&o( zBj(Fr*TA%{0Ho_$xOE4>4#%Bsou;Gm<$5I`2$WIQ&}`KHbWJ&Vs%#&VRg~PO3Un-R z6Nx+t&3Vt96oC+)H9NSD5HVbTk7UaBxe!h8+2K2F?kJYug^W+g|7-(`mD?bAn8m8|Bx&m3)*sH)`S$ z-6lInXZe~p>=;w=mi8i5vbAeuZd>=(I}!tFDOoryR=)q&Wg#S?Si)W5k(4Wv36e5W zg&y+`(B*Syz*V(7g_x>dYEN1zj-EzngtZFoD$J5~bFFrfL$7Kiw6uMV8^5UNtE5vh z?z(3*9`29f>O{_&Aj<|#jBDL0QQqBvQm;rZQr(Hk6!e_>hWpBW>AVD%nF~!W85tAE zE3MeoBxo_1ochq|vf0tdgAF9gC?6%utR?(Lx>p><*VnhGzb_647D4)ivxbP#dj$8Tc9q?^_0Zx#& z4MLT}fG#0tS}WAzovh{{DdIel593v*k@~2@^!b#qh%;_Z;mO3VO;DYIFrOkG8A3O7 zTTi!|%|@r;3;<4`)_+Xgfz)>xsnYVpPN!~D+_QzzoETJln%Zh5Ziu4ojwl(jg^g>O zX5G4fFhafxAcH1z4U@OZYbo8t3q{O^m{-g4c+h`CIY9#X!XsesKhgc?+jKHd)4IAVj&k&Gzqf%9R05hzVT-kY`$s2fDxv-8 z&k9Hi+&qIH`7~zt|31B%H{wL`;*uD3AB1WqddUVjpsk1E!>-5e19|3Z??&$Bv#rWh zIQXwJ`9R@|fN#@_Hf#d&|6|^sGnS2KOG=WaXcD6_44~I|9*ptPx2IgAe^DdA*vAu_ z5wp}I*j@e)PLfxb7^%GwdY%c$$;GEqr;tC|`Qd#hh-LBo1D@08{)ABK7HiLFjIFXN zI={OAXt_w4+3H8x>*UvVMkWsL0uE09h76*WrtC^Nso&9mCiq64wx{rbG<$%k;R_|L zQaYT5My~Krx%lV}XB?TU#V%o9Lt-x#AN$Q;c#p~iV%_`@DqC4@2*^n0r4|`F%-bKh zLEC0ut#$ti$6ROj7dS5ghu-hA_Y*XCF@A{@M_}XJ54*4}7BM5(&Tm{cgZGHsb^c^*kNWIy?&!^w%Wdfu;IWo+miLmavdRdr}NV$Oe>n!%DI&$tk)VbHs_J@n~R73R2q2UN2AEzqCxz%8vk3?ml9Qxt)9FR%{t% ztGq6wROlzl)L9&58#< zqpgY@CeTt7X0q-PY8&E4vWu7FMnRP?+hPb#apjba7~6)|YEy0!#TGDxZ};;NW+XVqpSmQD2J8tM)r=NXLqQ3~l7ANprm};gco7n>%Z} zv9NgeUvip3Vz+GN`=mFkGvx2QbnY+rY^X=hfq+E&llbRVTN2n37sGDBU)4D_#iDQD z?Z;O?l&~&tk>BbjdMzzE9b@d@Q3Vx{lke{>G;p2XcX9jCiv3w{yHa0FP3f7$d-m=$ ze<8F5Ef2sOzN+bbg)4D4sNz<1I{&!A)&lT;`DihH|vIK|J# zwU%jPx6?Z$&U(1cAQ>5N=_P;fWpPGR&Y6gC6=k0Fscz61(qt+0P<8wR6a?sjiVo3A z-I*lG0dpI>zO>VcdrvU-B$fh8R4-$+;-Lo>dLUbC3xiNmTY>_X*f#5Ud{oeL<@gO% z6_a-ZgwcsTqkYJD=9xEuXY2WZoSxaxCgvOs#eMLaD!T!E1-%%jyXP+{O7{Lemqvw|CdHbd$hbQWlJGqu1$ksmBqsMSM(*Wu~Y zhe9(di?N%}n1O3PS$J4)bK9?aE;bQfufQwym{e>Jpz(~Y!ODhLaBOrAaSwr^VtRZp z^yQxTFOW73krMtWV$36a9T%yb9$H%MF*ne~D@d?sBMiB_1e$m>Kxr~;KW|bCTl8#7 z(Qi^+pM+f+u6qUbz%l9EG6TwZa=;*;wb_3lqr6A2d8&@SkR?6|(O7?pw3h>i++)I& zbH`L;i`j|=VJq4JKLItU@1@M+PWU|8Kisgbfxqwn zENwp0o^^h(@#ecNI}z~U5TADP3HP$hUVV`Cw(pwcg6i$tecH#WfSU4Q;eHZNVE3wj zAn_DtMQi5(5*}~1ZmRPS-dNOznP;Ola`U|{z!@wuu<3(jSs#R#q0g%y)L#``2$-kJ zmu~19Uo3a}KitXJMI=9TMh6vgJ)b)y7(0K*AP#XFAOuF0XI1Dr>8E+BHVz4WmaxQE zMD;V4hqo20ssvCGvDgb|OPGWzicS@jnU8&Z{IKb2fcKP}++Pzt`S&?nXN6utiVOEY zPTy&d?ZWgk2Qf^HDgu_1UXT6Q-MrcIAv#H>sQtHZB|&n%?A@_Ka-BKJaxcvzGecB* zl96a`U7u+FCn(Ib$BJM^E0toM>yYE5D42ULROs1@{asNyWhyu=v|osbEln)Q*r5g^ z6w>#ag0H5Y1a+`)#+Hmwj8jC|eU*%IurbcIJhDwko?qdh~YBPaA^ z@&7}$TCeFB4?=bwm9vw}9Vz#635Gm@hgHrbcx&$nmk24F0 zU+*LEoM!@#CwRef!;1Py(t6KvejS3{wf|7&g@Wv}=WkchOkVr`%X`UC<^LS3JXge1 zrpfgPF7Ah^qAAK_Y|0GO2r;GFAJ6yduQi_6-2P*9m0Ef#G9pX~6$8xZjI)5V*s2`n zyRQw!zZ`<$v#}l=f$N{xVF8AJ$aee)8nW5 zy;kraK7+BHuVSOlgVv9!=B>DhomMuwcKYi#`dzy*xUfOU0Lf9MOQ#1@)H|zIOhNQ? zSFvKQTd8RK6u`-{DK{Z~8kKZF0%PRf_B@_+1HL%<>pehexZri@L&KSS2*b?;C%*!j z1q`06Hlsp%^>iSOx>`qOirb4;7*b`W{`k{()%!i|1-Z1uU2Oc41etXxE~*##DYt?@ zYdra+ucEU~sgN2kje5`$5f+V>Z{9VE)bcKrk&w?Q@aO(iWqfE?aW9g+MfEt&v%;F? zx#rFpBzUO~KbTGOnetd0yLG-{>c@`g8K(}JUfQW;sxUbK(6WXQ7hk#uK=;Q? zIuE0;r!&&j(IkNpzr2y%)X;M6p2JiNA=lXG8HF9KW6KOGK#!6Esg`|ob5Rn^1zqk$h~$d68d|Wrs14McF_Ui z=$jp>7tV^2I$LZ$y1G_GS*GeR{(v05A;9BC=VhG~JWe!a6XmS7PPus^a@S+*7x+}j zJNdZ&1C@V+o_n`5wbTtl}q2gEE)wo`5aOt`Q2bYe7I zzI3_`)_VE$XEd!ZWSyn5jb>7lwEH*~LOxfgya|c zF>3fHprI!4mf;qYjqOVt}5TIYDJFqBeZnD28pK%-mhXGnQG7KwqYJp`G;a0W z4`+m0(x?&~kLG0caa~ylf!~nQvtM%+y~p~DmEebehZ7BR z>($Q(z<5ALHBAv(TGG)og3K-s@8KiB@o2@eD!VaL<>5U`q73KrQqzSY9q?%Dqp>VE zf2dzg#Ke#$sQE#Ki%zon>+WG>1NwuH+~+bh0vJNGVUdJku4l<26m(ylDFY3xrhn>; zJ9{ng)l6PeVgm08J2|YR#{9QBxP|o9Fy6Csf3J+5mmSqJdGTGeUqRpn4c~04J)-;{ z={`a$XdT^%1EGaAE;dsU_)*sThLU2a#KoW>=3vErleXziMx=6}!BJ`Z%lZjzMQmvH z;umn+8FS;-pXzq!y3LZXppL{YDPuQs6MY~llbxhzf9uL~+p8jiE3NDp)>G0N+#MXj zxNlTI9bDZr`p%2e+PVkRDt|4gLr}+(<>vqn$+OojIc@C>lxWqYMSk`MM6HbvRulAt zHM_eawpmeQlR z%Df350S6c!*+11DaBa`O*rEeKqU28%N9Suq1Fv5z_NpV|6{YKf*q^tu;R2%~jtUN@5dNA;!)Zz>c$j{sy58ebx@<|M&J3%DnnDt?{d(2O7 zQp)d{ibw{gMiOV`ubI;!QRVzDe#2rV+piOGrrU$aB*kmYl8U?MrP{jSD&t|j2*N0W z)NWFWHJ$eNYd_fh&Wtn>38D6-6Sq;T)|7`ZncL-&P(jt-69Mqamd-rDWOXt&b|Mg4cgjX>SDq28WYN_VSwdEmzurUa|5CWz%>AF_OU-UD<+vhy z3e_9OyV?VhC!YF>Tg3nONb1Q6r2d8yY6h57*I~GjrEBEoV%WRi$!&|kmpbdHs}7D? zmQPdbAKJ-OLh0C@7>6o$QJUswe>x3aW9Qmz$g&#lpnhR4`-wk}*&Lnt!=g?7bY0Zu zo7Ra;VbtynZmg1jgsm&`9hWB=E_!4Ie5lBk#?s(w{+WNM&7@14BBvH(`ubcYd8A#x z>Eib-rnyzBu3Bnp0DWgJAruR@;_N)^U;FEzE19p1ZXBKel6uM=Q14Lvs9d&sZ2$j; zfiv11!ppa`FFFEEYEHVmuO<=imF*vhi8mo2hkIiBkSz98-9!1^H%??e-W{0Vkfd8U z418$!274|Mx>E}<^UNE-g2y}i*4z63O(1ar|EwTfQR}3Yq|ofki!Bn9u~iaX*$~4Y z%E&|2|IBZKD-mqXnvaZUFcncdANAZ+2{)#hkH`U<(7X2yko=cc807Me2W8}A0pyJD z=_kZr`lE|%SsqATeQ9i>ed1&(@siQUyRS2&&qV{PFs&H>ac>HPW0TkrJIixBJ@G;z z$@;5jIfm(2XSV}xc<#&KDz9z#1UuFWJ7B;+iSv#-zO6Z_zThT5nWTQoR5~d<6!xnq zM}#>Kn67?Ezbe2q^Nshp!G$KlZ1B$dfBJnF(hF(UJv=jy!DWp2A;`JcPz9^I)9huJ zJ7E3$2?YX&!1#4mws0}1tWxeIcRW_CGw6oY-u!sWsjkGm6S7}|EZ?#Bpno;~tCcAI z{#$J|I&ja+CxVh9$0$_y_vb#B__hj>rx^m#X2zAZ0l0jZ{Vj_mB-x?Yy|+D_li)V3 zyD#8W;3B$^yo<;#!2RQ469&%7^wEyeFfFZ)8sarP7zrGH|LMuqeU=xG`wh$E{Ssm^>F=)khV zf0Yq@Q>C=61Zl{Hz$OysKWp3aq{;VIRAc^Z(D;}VTZ^#(2Sbw-pT3V>Re;{XCyJ5( zb2A)@V|*qv1L+w4{fT1u2f>O{+1MNbQH{94jvxdjLvZ9@=5VBO@Joqxi{d2v(N)K< zoN;`^O-&M2sC*OVB(?x{Y?%P##RtMtujPD6&}c9-V3$pRoTFAD|9Ogljk`wju+0^( zsrd2N52}4#1fx&Xd%;s($-q+(WkLDD^!Sa&!vgvF?d3<_zgU_2+aE7gX_W)&0IqN) znK_CERsx9+2KPGz^elXFxW~ObG!o03q2~TUa(>zLwLNZ;x7DjnW=7RxHYfW7)U)&w zG}!KfF#;b3qIk}u@-v;djjHomaUC_${>ksa_q}{IzUbW(7^kc53+bfE`Vd-$T@y1 zff{-ZD0;Gi$6sI919Se7cka{%9FckT%meNX{C`8U1qNoF;^ZgeeOk9m;`f$XHn zK!rCF%)e_^RRbmuScuLv;(oec#+OFJE`$G;wYfcXJ$k(YxWlJ|dnQTO2>)V4hkk=2 z^`}H3DN(FhM_!N1B<_1E}`OALupOCB2;SBiFO+k!>u{ z$S5}Yr??isXB2GZ-v$B0x^WG{-uj>35v?nW-C|`XU88S-q+RnHqRQw%-+A9TMEFgf zWZyPLowl~OOvx$R5qqc5_`%gDhzN`F$~p-;q;Cyg6tP2y{tA7IlYOJktMbab%71qcXrQ2CNKLz=Y3NT| zA>Qtn4p5o1i|A6!hQ_^m_Bjed=a@}|eVAvapVN@Z0c2!*mw%YF*CJ|_=56oQfwq7D z=afta8r0R6b=qxmFW>ge_GUf)gmE3-zeo;n-%jNV#~^~yDp$bTiTGhVj;LO!d)=i= zGQTB8E}qjjs#__f1r}WojpFC#F5e@ONrVXT<;c2ocn0;eeQT&w<%hfcXjZ{89m(oW zatT#hLz9`}m^Mink8jN5Q`JmC#B9;k`(fe?zCR_6<_?evvdLyG<5=dp_Xm3AeS^6~ zJ9@Dmf^Ik@DN6VDoZn~U17CT!{7OHLxAh?L1~6(?NT#7eU>2hS^E z#WN@yo+bq%x~UunJS3HmyPJ0p zy%NZdDQ?fTNMJVZLKTebTacRqEEUT>&s}B3NJz%Y*DtjK(Cou5H!3XneG^Yg{K{6H zrccLcs2*WS#q);M+1_*d1k6uMR*EVlRtkWX9kzCI6SZ=}`D}tEjVh!t$LYx<&-Kr$ z&&Mkl(F~EYNA9oxDy_JOsulW$lDor93=3&kf?KZXWI_YJD!BR$pr{3N(^$zi_Oo|< zQpH6)+fxIj^%`FN_2a>RoOd|OKh1~D>BxIw!hhnKvA;J;`3jkNyk5sdmQRKL2wrnMN_aIZHXwk9#wgp*KdYGQ5^C{cVLI{X=|g5UkRl zS_V1RpWte=cYkInd1EV{&b5CVl}-if{U}@97~(QR%W6ypf?}nL@9+H?pta6##Fd=K5U8o>y(D9! z!+pNWxRz9SAtF{naknc=M&}SqZYR>x+Rdweo_ak#Js0v3?e#ju{*qvv8JQiC+<0bo zNbYYEx@M zIgJpR+m%=ybars8lXNz^Ky-q%Er(yvv-plP<9$*K;n>e^t2k;CJDt6+!{}$~$#K=@ zZ@#aNwWCfdZ%5dIH-||Wz``O`i)?hh@8u)c3_&N0DU*ELpF~=$2qXib)v&FQo zlUC*yFG)W`wMQ(KQD%h@Sf=WO@W(cD>xSh?wl>sNqu`57B=Eq|@erYT^Eq2*Qgfy0 z4Fj9WmQYaVu>5jXPbk|_?o12#jjG76U{tsgOW)Qnj;Q&-NS%7 zV}&iJMmTUaqvaql*3|>gsZ7*;-TPvAsHb;N7-U5EGTvvI!XNt+Zv(^u(2j(%3aO=K ze9YNqzC**w`n6J-1z9!r@Ph=86yvAk4YPVdfVZxf*DhDPrP2L86F4Oc94p3R{^Nk9#>45qX=`p?#-y+a!& z7s@^LQ4@6bEo}9NtLT5SGmd{XKtcf-Aba3n`@uw4P{Q#i095G)z)A&j#~&TI+v|my z<$ku>B&sMrt3HoOdrQcaX<|lb*ixh*(Zv^}=;i*}k8Pi5u|(E*)nQ7J<^03X?S@ix zoLISHF$&0=wI86wwkv4=SO!hbox=ghf5Q^%k`3{K;h?-Id=}N&_PA|A#IdpRi#hiW!2JZ zZYV~3E(i1q5&a<51o+$EW2NHV@`W?-v!`F71M1?Ob5VZu=XcM|9Z* z+YQ+Tb2g#mxkf2&9?BNP|Ke0lrcJ>KN3@aiY!6vd{KL}=!@ZrV<2+=hna|+K<;tva ztXwnNYlC&TxBxOKmxcARh2g6?*hyUdco}4SSNNc%_`^Uj46w_ZzW_ z2P#+lGr7kJLE{y5=7TMS8$x_xpSC(%Q&okIw8SmOyw2X{B66LlWwt(wXPP|OlYVGtpMxymyUcumru)Wg#}6`8UT=>h3Rif5G*LqA2i#7NRt?%glTYKexMX8Z2O zf4#$=rgT+h_mHDjpnmn(R2KG?^SU|9ZhJzJ=>rvY)AK-#T9CcAEoGl_Q@+nLTUee z-Lw$WdHC#meWlwwi-tz*{zO-Zmk1((@o~kMyH@>aKsn=i29ua9P5+vFbA-Uv)F+WO zcJl@_f78N#Ff<~JazFJGr97b6qye6zJykMf+{DE%)gdT%Ev(QtQgzp#4fj+6cXwtm zR6u^RzpzgUX}OH`;no}@zEh00^$Mgi{HQ=K5t%t`kywpPdD7QZ2_cwK$Yl;`_8SxxcsyP+ZYBzlTa>B>iH>>FbM@+%zT0> z8pT))A2>K?Z~QlSt(}m|KWVFz(hFxJ^%9Up5*;?T9}Fo@M7;v{DvEyW8DjlSkV`+* z%I2x>w{~C^(GTE!B?B^toO#A#iXercxDt$2QHw2-bRWvFEKH-*lIW@HO1H2}E&2Ug z3ORuvOq8Y*h%S1_B%ck8UDEIb^eF1q5j9E4dsfl|Nb7me=hdmlqE+Oo>WNOfpEl(F z`ooqOD>I?65Nsvo@G2L6)>iQgOv?9%cFB-~Tsw!$TxtJ#x{Nj&FU1a5_veMylzHrz zAKUxeCkkHMfRGh1(F>HLVS)byW-Gq15Z#J&DgR$TWtR`XQm3c8Z9m}qfA^+C>s znmL^9r1Pt*;eN|)wP@6fw@C@ebyWh&s$M+Z5C-|3xJ~V&DGh{N38+ul?&C|EHJJ z+$BZtqeRcYyAVVFkn&uDp_BU8R3F#w_AkqT_dNh6@5y&%PU2|N9l?|oC5%V!Hw(?H$p8;_yR zaC@WEhTG1c)oUGw_;1(M(H>O14PYBz4+p~|4n|jK8P`Nk_DPk+xtLX0kY-|;unUDi zRwd&R_f_l6Q7S^zi%~{2u2{R^N$1k+ep6Heo;H&Dw=PeXh%re;8~@vYM`6J1TR}LQ z$x`5Lc*v$wUC>@SIxj&uk8Ahku-j5kNjv#pT=w3C4#;InOQ1M%yanm}Ko~xSSsk=M zckO@slA0U0v&4URMF0Nmoin;+Gm``xCV}M)0gK%nW^s-A zaj^#=r*m$n`tpBOiAdfB-TCx%8OLXqv1YGMp*Di0;0J|+Y)Poizm5_RzSgVVHfTcQ z$?#1XA_Ex3GW!ufAnl%(*TMg<=zZJmk`z3B%_?wh<=+J9;VbWDZ^bsMv6d|p8=iZ>5l(I4rHs$6wU*b?2CfZYgX+!&G)th^yB`$^8vOB zMLkfNZi95%hiVS{9am0p$rZD+KR<2Ewz`NknqGgyUWTsuywxh^mMK$M?#-f%cIa&3H2M;k6zt8`Ux|%$B2ekm_LY zaZ^UJr-%3kN5?H&QUvoX@}}^_^P{+aHb#g0-M#*yHAirBhhBIgodWpJIaK#_?_=`K zmVQr@WTL(`P@*%?7ZB6ntOi}0X-3C<@dekXzr?oTRx8bXs!P4Fw}F@KECa6z%Zie(zSqF?>b>Ub4TZ!+303M161-cxug=rHdIuQ?#hSsFZojMn&e7{mo zS?}+Vl5NzvY3esoNrfyApC7MQnas>e$1at{UP@Tvig|yd0hK3^4^8IS-siF%*F2qS zp7gTm2Q*9dlU{kH$Ulv=mmONI`$DOK9eT9utn>KJ;?XDam z=_X6<4vJ1#`Z3nZhtZD?pyU5_2h;O=HCZ=r8RJi zF*p7f{SWbT90Yw_ClhnsB(6XIeyUND%WBc?#Dl1WjzKEQt;3q`KUIX;y#D7blEG6w4rfBVyl;1VXZ<9986y~0yykD9Z~fak+f`e8aV(+*ob}8S)Qm%(sL29g7L8N)svcf=^Kye?6bbEJ3&;~ zuQ>P{)PL^Ewag@oFxl38Bf@B2NOIpGNe;#Wm3}}yZXv-7Mna=+y>FxnD{ZGU%(9^Fvllv;> zb<~=SM*X}Fy`XzpBksp7!uYQj0pM!Sr`jR;LH9=N5CAoVQ6T{Mc_O#e`=GKRkiEsD%g9dHx za3*M0DlR}dWU}XlPp$ReR@WbzQ|bQ?V~X&psGt!o-|l#AfVmCD8dOA3rtFcl%yMPD z0%sA;0pnO)46b_gj&rj3%bN2dsuD?qB{hl6*V06t=(Zc{!j*5R*SwlItg5*smiKgh zWbP~HCX&`ry;ZO;1^)gOTw}Ip8y&(&7hueusj=r_bH-~+1Yz?8kPq^q689<~($98a zuAGlXXTlj`6%D_!@P>7di2d(>K7|SfsQBG7Uy7tscvi8C_CDS=g!gy|+osd?W&yTf zeXgF@;l`&Vr!6&ka0}tg8B)ng)aEa&-7CBdgt-A`{=)p8)XB7JE1srj^oAjw)JCE| z*L9puuu!GdDhUcQz)pE4O*6iBN1uPAyv_Cbc`3DHOB-0Z2qoxB6F|^}nd1Qes%s7! zTQ-+^Pnmv!TKZB3-;nRxWPUO##?Q@^`v?Wx|CGP$Y4sWy?TGt1>SRQV*`aCN2ip9# ztLe?>fBEEmDWG;;D_$^m#ZN#HEJ^^3> zaE(8A6SlMylo(L`+K-gqZQmq><_$lw4`%8`NW!XsB=Gax?Z(B;z>I$Eo^s1GS3jZer|;g#Gkw4<;?qe^mUE}==&|t&+uo#Q zB*;k$hC%mDpYozY&;{KfMyrPUo#nRiEe}^or?GiTfbsdjaGlDLnqzq1U+D8t)?n|0KMH&twt=t8aAmpAi6d^Fa8X#X`J#_(@N4-T#og8( zeI`6IOhdo3((+hSXF02@(ofPIg8-X`h2$^mbr;UrLl1-4b^FW==gD#|m%$k0 z_kV|Tik^*6__3ZgC~Eu3`?@j9ennZ&vQPfll^H85)l3;BVs-;O1yN{U@vTKnvy*6hm}WH6VHjGuTRoWLaiO^@N_@1;idI2ORT$a_7M47(&xHS1_C zr(+u%tr%0m727XE_phY>{rpU0jfwK%nFtZ42HBnIIwGNX&4}qMoK}2qyOrD4e$cqn zAYd_x*}F4fiQVyeqGowzy@# z{}{if_fYiI-wQOh4}fQMARTgy_lpTlR(|*8SA^D39^*%sPJB9K@#ymn^^h7)(nY&*MU~IsOmNLseY3hvrs{7Ka>E2>?C52xf(D}OcBlZ3dEZvAma`*j%w@aq2 zCRpD}%Z8M0d;>)THFBb31LU*~0*$J&tbDWUxl~?yVM=16fzIVl@ZL`>^lXHzGqXlV z+gwGu>PhT^r;=*SVPgkY%K>Y3yp3=VGmBn|F7Up&)NfvXbcUB?@3{^5J#yfhc(b8P zbmx=n)a_K(X5%+0=&9Y80yyIiVuJi5Po_n1q9C~y)#+=3UFM6T4ApAV*!xS>xzD0_F5b^Z_8s?cta)NG4L-H!(H@;Q7%6X z66E~GziR(U&?#uOFk(fzh-`+`kc7$0F9tbsh7e{cm`CjdWhFCJv;872Oq~gtj=qaD zzn~eTV;X}z2^(8~Lj=?G?=a^f{n~eA{WsDzi@(A6i5ni4!&}Ty2})O1qv(S_0 zv8DiLth`zov_)r>UEoM_)R61HT>&GegiE`V`L`-cv>8PQW3@6c-8Q9ngtsFne)dO` z8NH}b$cA;dGP2?Wgw2u1Lwh|lzH#R%kG+Q0#}t%4}bR} zW#*Dy#7oRj!=LR%cfBIZ^0%Vd5Mph&!N~KZiip0u*0tfl*s1<9abppO`sW$t*sq_8 z6>aDG-te#Fb6)r5vMHo?`w`|jtwcU*3SB9F=e?bq^Gk|&Z&h~wtG(Q({d|rIU@^-Q z+O=XGpTQ?Ycl6YHpkS5FBU*0v9PfAZ%v$Lwq_8!s_CBK=8QE63YLWGmUj7SlB=1e? z9KubwTVvTB$W)#)wa~sy9o-@Hu`L`8E}K09#3_# z%5hGuV(hDab~+iEfH(R4Apb`y;PJzC#oi8+8hCH!6x(jHi#|lg2br3=nI{JNSkY9i zE&5O->Dn+LV+q(!(W#+rq2ErqcnV$NL!2#tom;bgt`$&?o)ZsOd@OD7iD-dvnml^F zSKg@w*R*Mo(EE%2*qVkvct6~`i~Z|6KEFpCJB^ZR8&l$f26*=3Xq~YwMdY~Vunm0% zoBMf`-VwKN}t2)!C+CdyCV)nLe)LbU*hf3gI$ z)4&h>Si$3~>%;9oj76oS+bO5{JHFf6IqgV^d97c?T{n%4+%w?=6+_dVo>|EbQ^AW$FgSupaP^SVChgE`w|2=nb+Q;0H7zoBTS->D&Iw4zq773J~1|KE}i7 z>NWpS_J3M)HS_CeZms5t;n`yF#lPw0!AE6His}K+l#6$&y$?#KvSkSkZ-K$9TI`#~qrEida|?2&h;I6j$Wh`ypavGd@gtRD#`j)G?ji9pq|zfbLa zXIvnE;!qgP)0TNhvaPi;Wjzl?Oga6L&oK%5eS$p21M(&V*J}CV9hC~vehSlX7=uXG z^C?-S^)=cQPLwRy>}1su^t``ydGb5d#}A4io7fAMYJukgz_NI#CcbP-GsZ9g&(pfr$;G&elbaHBv2Sp0`V71IGOhuKL0G1n#P z^rSe9veZ{T$ccuC1OQC>2^}d7-8vm}?dwioj=Lpb`FWu9LWOY>Inp_RA};&cM5k|VX@L?;?i&Bi_EqUogU03O`kHZ*zvlfW zy*=Eg9RQt#t%?Wj)^_Zoqe8T=yl#Co)4qO~*!6e=+G)qUf}F=AV99^J7{@b)CfX@{ zU#$E2tG9fa9V(M3Ic^)km)kYV*z$LKo!(0;zmH!)DD+-Ts-zu|ginq1jGejM-yqtH;V1Ez0o@dDhaQpF^ghr;Z@DG%A(! z8IKpWFB~uMc`>KWjOG!BRXfV^vrh9&2k?Q70QiG`?3p3~`hzwuyb%=RQ#sD^VikV* zRcn-^I6;Nxr2i%Dk1`&!9g)CKo?nnb%3*gLrK|g_Lje#oS3w^St$5kt=oHtNT4I#1 zzd+c38u@eNBXfTQv54(*94GxOw}|rAi0_M^W^HQk(5zK5C^)b5Q^ijmF<>1_!!qLXD*CheazfcifpZ;I)_VLH#DV$!IC%rL9?V}?+SiF$<1DF7mh%SB z0|5-n{^;w?*md~2(?=b{^O8JDdhNm-vCa>gv_ErP0v<0}&k-i^XFZs2r)LqHCY>|* zDc4KEk350KdyFd6(SJc6@WFikCxHk5;lFS12|x*FEAkHbmw%p~Bg^4u-wdxTODDB8 zV}d{@ld&G)nZGT)i+}%*>0yy$!S}L12EVu8)-V3kU+SpNd5x7Ze6TNH6feKJUHtmF zL2>r%^mPvNQ(jAdBTti`d|CpqJIb3TKO(sM&VKRDCv{xfyQIR|48T_o6)Zm1|3vsbUqrK>)-jAD@#4O6cUB-@QI8 ze)Y7x8kR5WtNi*xeLR!gd$)kOkI0KA4h?JU(?s~;nG^lR3;BAxAyDS0Ut&+}QO5d5 z-{V$|UTcGE_f@2L>E&(@pj6HC<*Ads;x>8Oyz7o$aZ2D%_~Ra=K9OB_0YK5=*B_fJ z?z<T9cLlQgWJ8n$9^LukXBs5r zdblkJ;MNDIC{X1PaFPDCia}+&ud8MqW4`^_|D(->cJFn)#hbzlUVq_Q(Wwg`rZk>x z03iJrRT3MMEu4xoj^{r07s93KsPX7iO*+kDaI8MX5$k7uBw!^VFm<+xLGqmB0aS9t zqv&w+{cc(TQo2`qc|wB#pv7r?!jO0s@M{1VQhy1!g#Ydk0MJw4Q5^y#x-+NZRS0_P z#m)o(C`X6)PW@1rvJn8ZUK^eRhv(((RCc&qZd4?l;5GK-4>acOwVh)%h)s0=T6m`{ zq^ID!o(0(n;5UEef6`Ixr=y)Tm1#X=zGOPSP*ygyz41Y@@!3cmhpNAlZB1klJm& zYWxGhJimIMWQLb@=0@aMH8}Pq$jYVEw8*i3;r+1w1_OCn{^Flu!enck| z>C3Ay;L7c_-zft;w$&lK5wL#c`u|ycoluVCjeX*Q7DJl?z5}e50lBu;xThZyEXX7F z{OX;u#rcX3HKJeMtHT06Dh>8^on912%j0cWK-f-CrLyS z1YM^NgCCVg7Qr97&==Oi&0w%;@S>a8LMLy{!V}Wf7zn>1pR5}>AXC=Z*dBESZ+HMr zc4@H#g{G%Lux0~!$Yj9EG=fHPR1yuPaeJWW+7HUl#VU`{$-JuSowgKbna)bGzL8mt zYD&F1ZI&_(A2vvL91rxH8WrLJOuZ%Cd)L}C(ue6@TCwHtb~t?$vE`3FK%X>m4v^VT zJkVABq#TeHMSk=7RgJ9|x8LcIqvXkpXY81PnV1lRyt*J8K{?Q;+^q-4ZTfLNU)Gox z^lWy-L?(GLA;tJCgNuc+VkU^aw%_`2ey3* zrR?YfEE=Wp?a*_%FrvB(6tJ~=bxt29W=`P&+xnz`W5Vb%9yU}b^e?4=&YDM~C+L%f zY+Zu0ZI$(4s!ks?rmr#9BzRS8H`!hDi1%sMZeA`{%!_ayfcOPt@GslqVY2H1?I`)Q z9$ZIPnz7x-QnPabue>CR@lAzYZa=Z>oVC8NkvwV}ZdlJGAdkL#Ttbsactf7k`l99Q zb~ruD7-iz|1%MyVp~pdfjLCTV;28@o254lF(Q-e%iI=+3eO{o%+{ql$%>N}!W2aurFy=9q(f$n` zq3-mqSn^f2?)xR3UFB-mJwQ?)`JA3b43KPD>z#N(Bl^7L+mMGsc%B9Q$}VQeH=tF3 zY32`pd5P#WvE}Ldoj!`#^;$p6B}mn2Jb@xt=esa*8W7{@vVQc$T8esEopMAp;tB)q z)JvAP{C3C9`;*i0Ln+zX8*dGYAOCD8ctAdr0=l~Ts$TKu-|vM7O?V&aFW1a_O`llN z3uDpC{KMkh8f%cGhg?R4&5<%oXS^t0UoVQ!UbG)1abiGM9nd`2R-7KYN<**vH_mj_t0)PtO zp&uVM^%?+B0g&&zm$776;0gCCmY37>C|*ASeqJjNpnyRa78>o7 zJ)j3>BkJHUhSB)K^LgHHlXI7x4t`yAe>NEa$`SDWI07Cd>$pA-md5+%rvd_UZ13A@ zrWDf}RF?oT{nI}bDCUkbN4)ODxsEhVkJP0LRnVFQKoFV$B`BJzo6|jF_lN9!+~3jP z_BZUA>9gnT%xq7KneL(JrUC&F00Ba45`?M(N~Vn1_c8M~+{4p7Gb1yyGOJLxD$@LF zyJmK!o7;_gZZ46i)x)*wSiS_$PylVgQ+UxvtcVs|smugd;*;aK%0oWX2K$F_O#`{C z-}Nv2PH8q)UQ*ALQsm>(v%0q|UFGQ?<5BdNmG`6oDm+&|D(i2-RSJ4j2OrT_D|ZSV zu4u0E56da(JmSZqD3(+&N(oF?U`z5^3a^5CbGJ+R@*ASZAq7_SNV<^yqAY;^jl4QE z5e}nH^pcX^loUV@?e~^M;v2#lng26f+CAD1Nk^F)lDps!FQO@p4V?GG+M|>ygWEO7^>~%Br|6 zIgpelyp-?40w`8MTrf!#s{ejM7VC z=VYlDd^`I9$g0q}JEc%41S_ zDU>V}32XD3@pAv5OY@F}xk7q_Lh;k6XXV1{?KHu%=0W673V|rXA^;#dgd)Q7>l#;n zr7&5+T<28R+>OHX(PCED$;Tmt8p(Qu#zvcIv|8ZziO5;-4~9m|sBcw#6OI?Cr+s{x zlEv1!qmSvGjFfjxOyx&jgI_CWi&c#)VF`B~o(@o5^m$nmjXoQ}H9SguSbwr-1%{3j zn8p?BuZm~S30>xb7QQJIMeh0I-zx^Xx}CLHY_DiEYa=OV7E9uJM;j9ztuv(*PFtsD zPl#4iLpdC-Uro0r3_8A~vHCd)S({~9YEZjmoq6u)<7%HiSg6ed*`|sf(3Sp{dNEbF z<<054{0;}kSrzmYU6D_2IB-1mAac>?O8EfK;rtW*C;b>=fG=t3lT=lIko{%gt8oLm24W&czpNk3aP&FW_X#6p za|@tu+;Gt@9BHfCk_0aa%|Hw8SKZ!I0HK7*@D9NckU#Na5RaEfY&1LgMbdhd{ks88 zEq7D<0P|UM^h3W?k4d{m6Pv>x8T76&0@d4} zb3!goSk%yu`0ZEceq;RX-wZMqo9DEd^wMXEmv^+6^@{tAq3dY+9loC+<64MjNP#>R6x*G0kN?j`nMh*W!CcB->4u9jL6*J zqVNY@L4ZT7u=qKo=Q;$N2<@sL#aU#O7x@FxZ;3gLf!=&uPrz;BlkH?Z6$cAt`Su&q zZ+J;>dZmIS2P7rmOn;MY=x@dk6C}Tf?Wn?&Z|#0ti~_HEI?nA<88!DJ`GT6YwhnZ3 zaIh@;4K0+0;AQ@LI?6*1R?&uoaN5fn zFLY1s|Lren4Mnq{rOrH2Aq0Jx1ca z;%VVeq#HNBnSKj?xIg5#(%T>XXTp9_Op;ddxyui|krS? z41ixs%(x-~ar=7+(%e(UZP&cf?F@HthPG0a43~S6T z=TX4%_U{IC9h-62>Bfc3-K+)Oe&lee{HSW&vi3uI*f>-Y6hic^C0U9LrNt7#N%F~U z-U)w@K@>slFy6p=e7`uZTApPMQ#zD{H|ifww^e9{rI*^FDr<*hgOif=tW9oKEUETJE6v;0nPcu1B& z-Di>U^HR+1bY|{84mx=Upj(o>$o$kZ+h@4@V9c#Y3V2RwsSkxZ~q&QnEecK#Rrj-7C^E(G@=f--w=M}np-?kp;1nQ7Nq4J4~7|#Kfm)a zUW7gW;(8096vJ;$dP_InFcmyN@p4`=mFua*f^s&x0={Vh^v%)&C^uCY2e+pVo6UgM zsfapN+;(fPIC(;2lN3Tj$v}xkiXfilxL#J*GkqBx0xA)-2tQE%c-Kf~GhmC5GC(Js zlm<4l0Ez^~py9AG8493r zRru)mgThyQz=%Wus4Q44EkqOzN~I8y{UXs2;IPi1yEf9A6JyGqlYTp zsRd9eqYlpfqNA;hR|krzV?Qbe@U~Vz&5i!7F!yW59L9w7=UI<=h=tb0PkvLZTzFM& z)$Lqc?~HSE(G$oSZLiulsSJE@q98Mim7mp;E03!swynZsW$=8oK}`hPW7=OkRb2e=@AMu}O3@*h#Y1)sF)3C|)W+i}M4Q?tuNa~N(9HZb&AN7eLmEpc?Vii(iF0y?NvD zFz`|&_>!oH1<;w8ne=6rsO~ScB3_M&flFy2ax_x8s6tg;h1;NmS!4RyKQ4p=d})D3 zFPmA0ZP^W==R$zcn)ki5qJQO7ob5`%7yx# z`m;SvzxkN4nImgPGkG#WdvV1g02^Fiiba)Bj4#l%_+Dml z*pQ3;*MjjeVv)v|Nx2co{8%#Zfod#(#xHim9PT$xWdCkJ_!t{S^>zAuETU-GDI`Ya_v-E(hAIpV{EVRrNbWml2DT)Y; z7klMci(x5@z5`9@`@F35=KE6N)l|}`^T!r%zzG?&CC}(DtP4<_6$wp$U_BjeATKY` zw>lmmN1-@V$`Sc|1>+=X0{z2cv}A%qBV>Z^k4&_^44!1&#^2uv-0H~jvvGxjzhLql-@(StFZ zmo{;;0rQ|~RK`2qRhabJE**F|F{eEyiXlOK(U-mS(E8k_^d^It)0uA4@y+r^{a!yA zANz;>NDqvK_Q$$VA1yI=MKct^y20z$jq-;~*2=Sglpdq_4J%ggZlz}(#Lwj~OKH)2 zhpK+#W!S{W;f5{oSwVyUPA@nTpW&uw_V+yZx$q2B_Q_#qnc`hQWDQ(0rNHoS0A zbYeoEkTca>9Da^wUVU{?y!!gq)}pLW?zu}>b3dwaM*E4_ap`>m_%6wiQ=av>rmew) z3p$h_ss3Q0=Ax{jnmxeecCUceYRh`{Mwq<Kha;!Cnnxd8s61Z%Lf=WK4Chr;p%kWn~@F~!3yffQlk9eL&1-8PltGI=Agqh z$8~-E!&Al0GOp#le!V{9g>qn?xqyDvZ-}QIE0Ryn_~@5y`CX17=}yUF>CgUkRZ5%+ z?Z6iW+b=ydBPCF*VyeZWBYZl4zF+*0AFmbff1vkRtbH4fwvqlZS!TWSb}XwhKR|c8 zE<87n4?5XWsLG6PtD@mYRjQu!A6Z~;_uEh^woEIn($j}%9~Me)zOh%_aue2cIolEr zYA5C4pv|ThK*hs*?n=v5z5>2W0klpAwiPHtg9pl<$0ZNf%kt;R6NBQ&p**LieI9SY zh5Y&B0l5h@W3NI4y#V}EP9lj&A%EE(Wf}34JS9}qx~i9^ZQ$dw>QHq^$#7cNV{?^pRj2C{ zWn}fTf8hl!kn4(%Wqe$x`#Iep{#E4%cjN5*u4^lP(dn#|I2UEXExrPD-h^06>`8I0 zH-D!BsK<5bQElvh`oE-C^e!I#noen_4y97%oCehpvQjW2=_dGvcFK7vnf@viYuoE^ zozg470_cHzl}z>OzvUAFL7A+7{rPi#rfG|Q{}?vL!*sEI4ZS9PWM+J)!kL4mIBlnd)w$L>7S)EC$oE zkg9()kNiN1Nz6_89#8F2nHit&T3CB=?#H~Vzp^+fg=<}1o)(NrS#ykEvQ$|d`mUw} zEbW%{h`zL4I|C_G|4Y$_|3d{}=U4pnf-IFjq$}_5Q%y5kYvdfj2QgWa(>9@Na=7%6 zie-&2KatXLJ6%x*?;UzvG`XQH8;aPezLh@-*MF7Jpjh7KAlzY<@h#mVf0O1#S$BoiM14MgOa6P}O57#T}kMlJpfF)a{gUi?|9G*#+ zG@*@E7{1aOQN{@cg?^@BO!I-G!b#(FZBWs@|MUNPb>PN$VW{w{Zl6#9<|FWQN(M54 z@Wa?pY@u^TC#eudOyIX&m*3%&gs#)_X8+|3p??lk6%S|+9n5`)L6JdkJI?fXUi)_g zx{kf(57t%~_$}8!2KqWpn{sX3FEunDTyK}(;X8q@ql-T=7O)^G>4#j##KfdjPLPv4 z%rrii17xAbB7zs{(8UV}_S2<;EfxPb>`g3k}>q+*13u3sd7p0Ei~gri1>hoJ{Fw8&niRmV;}e>HmO`DyjdWFH=9eY zyr_1HB|R?@zNWwHw;#wDg_0ns;83V!jAG2Hr!&1bgV8TknA3In9ljOF2Tdqe@-;W< z*>v0L%2x8b-Ma<3K0L1e6Th*LxCFn$;^)@*Y&sjiF2BRK0xYN2x@-5m|mPfzfdOKch@}U)0QAp1?&e{NlhmjFme2;6|B?o-y z20q9E;{om33VwV!j~qok%FiJZ<6^w{mA{VPM&)rN1fI|h`h{QlgD>*?iuZiMpYuL1 zeyJztsm!0{xRkOSmsdhn5YG81!8sC^35MZY_p=_0Yh^TOaY#KZucVEYJ|Rt2FV8sR zk-q)pPp(w>+22lYQ`7XfzX{vptJY_{{Y{9-vTkC2;F;3dZ>G%EQU~qvGY03LKA>dv zN_EMfs&)2H0=m>n8XR&JPMQL&H5o^cYo2pFtojjaXe?mFxq#LfF@#JSiO*np!+xTN zP#o0W%$658i(!sqT{lc88o57g22D<<>+(B%FCqIK6#bAp9BZ6KK6pXa_RyK`M#28g zAbV`Cx%UfM)=abq=9wQ&=sFy3|D}NR`Grv0O8P_hMb>d3vkzR;QmK_x%?G1s|879n zL1#SR>)^}4i?V`wPSzYhJf*omUPum8PyB&3#p`eMi}!e^y9tBnPK@gh$tvRmQq1Gr z2S>Jxy1pHSKK5hVVKdfH?O5WlPg&;_zN+iPQ4qy? z8}GhrS_+D}W@bHs^6yWjJo@@u?4#{w=y+;2NXaOh^*nTm zwY_8sUgPLnPycSMc;-2-tWR8tLhKycIx|bOYyVoh1GGD`pJ(=cTZQ(vy?`2mG#f7QU-W%W(9$|~X1k?%+sP}gq< z7L5uv^a?}O(U*cD)-~Jt=mNygP79z~UqDYRsGM8 zQtrD>6{Cn)@th~{vg`DV##>SVMd=nxxN|4-j7Q@iYxbry{jIzP4=~6T%C{F~74?FY zDm!R_GUdVvDS#fhBid-WV*c%mrYjfTDOS(?OG(dW&B8@WnNvr9pokpgW3R3*&-+Qv z08J1pEV4%jPjDP{3X?_5!G+&wL88T@GY%6`=n2WipGzDMMQE%a2-f;RgJ^N_BaPj% z{!70ab($k)q@a4>QEg=JP?R!_;UM|2U8-xUr~T5Ir;6pX&$QG<@e4xnTdM0e#jC$4 zzv;>Xe6aGi`n(iCJFiz)9dkDo3nzc5bpV#8^IR9Y@zIVQ?^yEekNB)cT+jExO1QT8 zrW84KmAfpKwmXe~b2rGs=8v>in2R<>Ig-zdXP(qG^-=)c0LNnHTG8|?8dGjktzcO- z)A#`G;8T2%glsU3NV)W)6qHvN-%`f)^9cE-7jBo)<8Nr4cO*V88#c6FL082JCki=H zl_8H9tFenSBi5G^mv)(S%Jq=78Rham#C;MOXZ_8Zlxm{RsJp5Y3h`bc`xh|lUSGrZ zLM*GMGk7-F)`0`VrSSE*9r!@gtE@(`j6&X*4%Ar69zhT5>NoeEPxx zjr@>>A?wV-tI&KgH2s@?hi?R38^5m|y1P#Gr{) zB#Reuq8t-K(6xlfx9PZB(EM=u_U~61^wJ61w7&S{@QWpy>BjiKrWf5v;@0t3(s0V$ zny-uwsn2rVUoyRORr7@76E@?=^H;UIe^nu_KSTI>M062>IOt(bO*~2pEF@3>%JH&0 zf3v*(?RPs2lYfj)SiPcu#e$z`H5^M{!xw+fG6K#2k-*Ew<3n4&{A5uC-x*I(sM=4? zz0){#`5g`nr9%3cBfTnR@xmfeLfq zawvVK3^n;Qj^AybB!4XPD8sR!gtpL_-+pq)0N2q2abYb|FWANv1=HJYvwx>Blq@+| z5Pqp>AskWsl$#{KjQ3VxT?vBzvlmuKVHelEn{Rczku_h@3f)jx3Cmqd#9ZPRsHPvV zPG|g#XOw|LQ9WH3KgrL}_{57;$@+*=e;vtfJkw?rRO7IZJ|)_72)N%YEkgswDj!O^ zsex~Khy#7=&UAH{{ks8Ohxyv&cldsTahS$In&`|LnEjDo4A*g`A4o)EEaN#3_%f`X zZY$5`gVT2T9X?6uI-C4*_*J-`0;a!X?B5OOI`)D;R(=VkP&KZ3z#Vcg#29a4j|7st z;Y`@Bvd4{Yrr&3N4)5o*2WQR;C%|0Che%;jd#m_5ouTPxe-myN-%LLtKkHe>QjU)( zlC=lxaEEgSvm^_PIMO+ME6@uJ=d=G(LE5t*Wwm%ACQn#G)Y=EwdR$i0;Zot(tcUpy zeB))C@I~&1O1LzpmHxTc>*hyyeAZvZH}P?NGG1#*t$pU_b%+rR&3%3<)z;|=;+Mvc z0%UwBr20gv;_Y|ViZ|ZTzEM1`_`3sqMDi%8(H`EtfACSiIIDNgL~Z2Y3)U6C`dF{H z{q|~aj-{)QKJFKP`jd1yWQ`MiDJsrgRcMa)8NyzKa?+V!1jte*8kwad9UmSg{WBg5 zkSG{(T|3u^pO=zsm$gHeQ-{=h^G#F5*S_47;+ybOfH2VBV_Fs^2gMUlt;wor^L(~m zLOxT@$rDq>BT`Vj@p^8$(>hvv=vf{5z4Z>tw0YLTIVbDsAc!fVysW(|8Yqnzo@Y$i z&U$+2!Wz^nFPJr5Yoq*mNJ`8{)DKXKJ}e!bqf!Q)nUy@3^oDNq!z`(i z5Bqltp%=IXe|V3i`T}3!3<|`DMN|UA0V{k6y72zr7poUL6hKw@+>!fqy)TMz^C8Kc z6wsvVM~KQ*0OJcE?ouVHoK=0_Mfi5f-f0d#mxeU&etq$ME5(J5IFMbRs%>3UOs>isXr zf5pRqQoe%PqD5a+{C*%ahr?~$8;_sCq*Ld}u(WdDmvUK`& zDN*VAYehyrJvE`*@9@emw50?&IQN8PphM=$N_%s+t1emUL%CLR7*q}Urrk;;elNfO zpC}Mdnae=q$Lux5fop#ttCCz*U(u7cAt%dco-LO2Tc4NYy7K(!cSWbq1(~5noN>{Q zpu5X!`W-$3RiBjf1{Z!^D*7q=h!d4&Zxmm?FaB#XDJi=-6joT&)wR;avJ~uAKa`(- z06iw*)K)1`_og)g%*wJOI7$Id!W#4$;#bO{<*^BouxVL+UOS6r&NsU86V2xi-K+8D zk+9O~@=@$e1u}(*^s8~eQ}NUNh4G(pcd#M_&QE_Vesx%KR6X;@9#>zLvUYzq))z5f zsPLW?p9f2?idRplGED;OoaFGpL&dE6>Xat#Q1F9H`Uf7A!~Q#AS{gTgbx01{*IPTQ zVF3lux8-f}O{I$Vv&X+z%r0D8j_s-^=nd;XDlVS-v8+k9DVA%zo4G+_r>x4(NO5;W z9&7Sj3unHKb&`f!)?;8uKD9>Y3R)|iecYCFEZUCLH_({8^osOV)y{Qo zj7pST^UUFgMc2o~U)q?pqcq7cwIdSm#D}vE(LnUB)<+6Z9~fMa0_dvdmo~>0?y_im z;N%bVVdnwm&387esn(>FUM#&R9J}SFn7Kv#|EiEWuF}`jk^M)k>m-M)C#rb|JcYUL zZ(r5ew{}tV=&EP-R@L!!)p4|zKjmeFu4Vny2fvu_gKvTvYb_75Tb zfO$p#SWh71taoFbq5RMrx+8{pHcL7_u*i9Udf0zKQ*KJepZJvJQhp5&=c_}v)9LKz zMssd5=R6E~jdfOtO47&anWCY0>Pcw)4S8D6FPA$Ggx=5v$nX!{!3Te{9O&fpg-k09 zK~;bHq6@Zc`r3~HgP=r4|K0?Oe&$~rgnzyN_}4Gf;;ZfwPyj)sgIF-sXF?X}2nd0d zJ1zk#BUM;T9BBV;K-b}JX8)yz^r0M>a*&{d;>-&M1{QPp_nR|cjFe>0mfvy9J zMLiDK0|+mpjq3ZU*rqiBZDjGMg)(ct{oqVr<6?goL`2zi43&b^5DZVSs71-FD<9!@ z`++~;5k z8{rdl){DmBMy|v!Hqs`T(6--b5B+7eJMkxDIXqFnD=P>KiaL*>kA~uc`sNCjRlqL< zz!mS*?{W;A!p-j-!lolWwAP*V<>Q`#)La)lyRN$M6q+tQg1b;war zUcs38;Zs<1mV$1K@Dt(_FZXzX&A|@!b8r+N5Y#Ndw(-mK+$k(OL^prbS`PT=@_Za1 zi5$vl?D0kWIFw{T?+!>R(ZgtS!hkDv1rNaXVqlyf-9M^1<7 z$)_S2W9bTzmpLIVKEQ?OAeR8Dif~=^O*+0=-p>6=E#n`guhDsD{tCO~v;7r+98%Sv zA-nB&y@t*D9B#PNc$c$#kp2?q2#iH~j&V`dxi>J^(_a{uScgX!**$cw_>vi>!Xl`~ z{h0IAV#YbFW^+Bf={`wlqHZRQPPbc-wIkPTBV#z)&6VV#XuMmMZnIp|-`VZ2!&$Xu zUX!@#ie=3$?~iD|eo2X}Wi!8V*$#x{^V-aDc7WS&wC5wKh1hIn>o~{U$Wp2Kkg2Qj zs_A#SabYTf@^Y;xUU;c5MK`^0MFDgd9WNK7KWM+YnS-BLF8ua4rMM=Gfn}G{n!PCA zkVVE{rs$y{oa*s5YJIKK#|Q-kqwVY zdJIP@%IR{@TT~}i^m*`3>-^Nwm1{IS`lOV2AJp~rC|J(UW;}F_kMlJjjO(Cdb%Ovc zs~l~oY~Lcle)QSr2gS>;q@rS#vU&o?>#x%_?vG3r*Xdev^NErv=WQuQKk>AzdSUgn z$~Jr=KUb=M^J_E39k-E-^+fW7bp;`p!XcZ_zceUbcu{*^DMn-E^T^?;;^v!m^}BSE zPRjD<0V&B_7MnQn-r%E;i{iii!%FOnn>^+W=TQ_u@5+6DTmk=^lCB~QbU;=^5k>oF z&N&yP|Ah70W1`Oy>1Z6$^8x8?vA+&w73Cq{t~nS+`P+b2;vhdbve#PqcmoTd$}o5M zzGC6H6fviz@w(M&gdm^4f*Bq_A{KeNBVh$iZF|UHb!aGsWyR|E3ts zUN3YtrmL*cW-EYeuvb4-CDOiMlQl$H+2krsX&JPM#vN}9i8Sg!LA1GfC2wY02% zhK0>Gg~O;zG#V0)r^$3X*C)=`WU zlv*u-D!nX7_Rq;OCl)1JojL**36Fg*l>(iHsvvCX^1P}Hl8}X8Spy}MclxrvdG^;* zf_k-^CQ6Ql#)WI7tg0)!M=FSV)ZVql;@ltqZ^=?^qKG*DXv~x1C(3g@;S7q=_w^8S zi4^bFWRbJ8t>VMf@&8SEQNpSk0ZM_-+n$2Df%mo4ofV@^6UuABc}EAgCQ@n7;A<3K1#y6;lVp>S1sG^J2_Ng=w&B z(4}5>zVBi@6d%On{~> zPBG1T)yBCyHLgfm5evF44%ssO;yi&xLg|>}X&3V^F#g5(^0y_PjrthF79P^?0V!6> zf~V;zIFO~@p6J=X_`FJ2fo)FtXOI1`m^~m%xH@AM_BFN$57C#k6;lRh+_mCI()C1( z!A13JDe;cFvTajRRF(WrAAG!6o05f8C88yoU4-9LGLQay1#~RHQF5KTOV`J1PSM8& zIOLr3YUG^rYf7>+4e7_oCNfH^md`yGmQus-lXWEL zTpx9FCgHt&O)y62*Bb6ZXja(-XdLwdg^>MDYDoL(C(J95+{>E8y_AdKW4VThUfLs& z7B||8%J1+dga`2vYv822&nX1HU!yV6{=n>Oo*LIn=xDf8Zoql~$9f89@9qy5`~$T(Iqcu|Yu zH*7@4;~-a!bsHzqpN#LNf}!xKw$VNuo3q%I?!uT>ZVgs) zZDC=L+wc5gu7MA1+L&h;Kdd-q88f|h8=4QU$Nnw|zTgf0acu76Dr(7*>D~ohhvU2a z4xa>MQ_M>PZ;X+9@U^T=qK-+FVVVwQT5ApznIS6lvNKg8cCk8VI`1 zH)q99l|?x7YnR1O>cBZabU@bg;EH{&>Q~*2jgxZJk%vur$P%)^_$ygZb$jj@Tk~*_ zKA$`Rsi370isf9$_pAiVY=TGFzj=dcZuarhoT4Ohrq$n=C{!F+Lj z_D=%3%w6S=5p`uvIBtA1{T}=2ZxVr_v)^cK+dnKI%f}n87Cs#KYV{8X(yny-B%B*W zSd)aJ0yycp-k#V~GOp5}7{B)k-s|xI?~U-AbbPbCjs2bz+5aScwcgg-kKw$yZ2=X} zkh>k`XU)JIYP#A#EVhgv-=FI>))SOZe%1l3B^aNnC;4XBY>&eYH;Z?=8ni%1`)c9# zj}gy@QCyLXWhwBcUtrmklgVK_n&nNvALrdQeC-cDMeWJIrXNeJ$ehz7Z&;wUznMPx zQQ}*jcZYzjZ=c&`Si^59NEWCT$cxVf;g?SRLFerkrK}Zl*pgldD5>bYOK?HTd8;eE z;>q8x6)(Rk(f4*0|D23HG-eP^dd)UGg zUQohfr~=%o1NVi6Uh(jQz2ffA=UUEk#>Z5yRaf#T4X;BLjOKyiW;cX#*V z?!lqBLveR^hXTcmTan@}g#?EXCeOQOKFklum#pNzuj|~$KF<2Swoj76y%HIkQ}9O} z0LYG!W&8|L&{3fs-8C~_=0h2FD*5pMd#-u;!ffdWj>;Wjor-kq-_eq@z=|0jjl5jB zz4e;>M)bsqv=;R<2h1q~F%x2p>sb#L%Z6I}_sq;c04T22>@7TCV&L&i5LjNf(qBJa zt=l5pX zU}!+kq!aM{;Nyl!yK66Sgq5ybX1{+D$B|ub?zVLWSGmUC^{;?j?Wkqg*(}0As+w+3 zfwn0aqR(v}Xc`{8FpmR$6-NMo627E!eP@@Iy>lF=X7RsIc-d{ADLr7(!#!i1cA~2X z?*tuUvILT=^hRPIdR+ddxvs=fn`bzZs0y(E8_uK~3OD3xR%=9zs#O+xvD3t77@f zn$NVHzL{}8w&8e%Ak>w!+~n4@==qX=1~oue5R)k_wI9DMptaA3l%oF0_&jBDn=>Ir zrLpom(simORvM%lZMQO~09%2f4m3S|)c79uPC73`BUm7z<4TZ7CpCFiV3?yc*;Pf4 zIZZ8dF@uTT!1AKyb$pAtBCd~i<#s&MGRYa{nHFmH_ecCYQKwcijDpZouYKK>swR~H z6TcgMwWeorCTy{Hbfq|0TGKL&5VXHFFssZqgpv{-;XpS|uifrb=6P=|BfV&ts;IF3 zJ7Rw6-lEIox@02}ns7aqHqUK1cM1iME};zv?i?3toa2-{?>RRM^++JO)Mni|{|Xf*Zkc|f-+O;7)Db8tE0R*A64=e=q&m9>s1 zu%O>z2kM)-_s$kH)e1~3-=3<0q|j2Ue>FA`FI!3M=zz~`nwOe#-0cybCbNguby@g^Pci+>%iL{Y)b$u>6;EY2VXbp!FbuE~{Y0TiTxjTU zM(KG4SZ436%QM<|KU3hL;xq#@1NE0~T^|2}g=47KP2l0Mh7O>7aZZOOR^U-{W;+%j zy61aq)$^n9$rq)sM4U%lwLEzI`7(Sy z5P3UoWL~&NaJH2UsO+cg<4_SZPokYq{Z-CdJ^$OF_o~X`oVTd>aNrBCTgvHU)oi+2 z$3tk1#Hc+@tU?Af`Byc_2B2O=Ga9xUm=q;+IdgvKvOL~FM4?bAe(IVll(OY`Oy52D zUq1wbEjp#(Q)qmwZKVxbicvrx(V@``+o8N!2dTIDNBn?x-!aRcI~s0^ z*z6a<@G^>MtT85Y6kL2R8BL~jstNs=9nJlaL?I+7Ewp% zGD&h`BN5kKkoo4Ht#`I|_UJ92q^Vs0SmDdWvVZf`?>l^0zUlraj~Hj_=Rk_o{K3ji zv;AhA6c0lz4zV-KW`-g(awKko=hWPph$as-LOnMP$`FXp@1#oIO3jo!jV6@puF=8w zNWE3Y*x*XmMb1%FZ92T8RoBi?_;tyCjM0KbVd))5WkKxI&pQyl2B+F@h32XNg8QS zavih-*TjYNJ&y^z8GB#mCI4E9!`M7_YU$AD3blqlgO7o_#e%{QzbBZ~b)btKKL@bRsx1Rd$Wiclo+$f= z`~g&>#H=Ha$>jcjzVmE;i%WN}fUM>}R$tx1Y8(n&GGM9P^uiYfaSR#|_T##9rGBzN zO}}*OSE+}j5eh&E1M~eKN?AP4!D=I&8k*2koV=_Y;NH>45eo%_}1uk7V*!@8oJndM{=Vd0|NT9gHGoEWb;vMUU+06jKScbFB7-|&#rv=$3!OeFmIGH^{#5Rx_0LN>J-UyUe=N~z0>M#Cz7a&MdA+bb`e*q7mkY^FJ zPF3c=?$m3V)~hDJ%g{AM>2;o3p}Vfih?X?a28PXh9v2_e3>P7wJNZg+svOd(A~RbZ z)}`dF?c6?Um@)IO4bowp8)Zxjsk4CQOWz0>vXDNza(Zc$C6!ivkXo$}ebk!n*J8O@WH5)Q8zOO_-L)>-7Ds>=vxv^EK-X>@(zejZ@ z_8D+f)Rtq<1r_NS`g`d(y%f@yHf2h9O};Hk)vT@1!~Vw2lZC;uZYYIyfAc^S-Dn2p z(f#GG#wX7f!GG3@*4-&s@-vFAr|WG)N;U2H!dm5P&A9@fs%!0=ad^?ePwma{+vAD_ zzJ@C1)frfI!EeNRw+Uvt(aK^V;N#dPZBEIDnBpe3%ye>+2l)6WwT9>J@KQzo+g@wc zrvub-z)!xttKfaP{2rNqGiQ<`qmoVshOK9Cakix0q(O0CV^+yT#d|vI9sYnTHr<~+ z@)N#IHw<_qw`@m_heU@6)1RKR0L#-*1@v|&)be=bkcUM<2IAl2Z;SR*eIi`aTrzJh z1B^U!V~-byR%xxQ+(q|BsKSQRv`w-OO&rbLqDVW+2=26!_O<;_gOb~ZJs)sLJV4a zKCkDmiz9o==(c6}4qq2mX^a=t70a~05n_&vk_Ibls>BIcJj5};4jgok;+Y0}vdZYc5dl9Y zcQb+Tj?r4SND(KTNB-1Dzt07%Qhe0n3{F@HOg;17WGvz;t1Ec=)qdbrV*iAJ{Q0id zt9O+oB)%Dgw?cs@@tvJWINOpmZ)uG-7Q+IgLy429_TEh?aD{`%$6a9Hyxa0MT0~($ z&})p+T7A5KpC(oI=qcIg#+okSzQxFEgsA6u94@~3fz|j~IQ6?J%Lv{rO5uA~xyKKx z_~PB6Uf;M5js(#pyGTt=c5@Uh!#9-ysR4{LD^09Q`jNr#Em@KhhTBMrI$M$I!($k? z%^7uhT$rR$c5X=0DX@h8^b2U=cR@zg+njvGK-AzYC6sJ&w;tLadR7eJ4Q{2P(Br&Q zmEwGUn#RF;KD6qa{n1v*UiN_@F)&4l3>U;9ilniG>gO(}*yZnnlfNBv;>7>o;o))H z_o9D;vgn`K4+Ko$M{*2CVdqv0Y`(C6v6qLTlP7Qhj(*nvj{|I0Le=E`$)GO{Wa8)4 zuhf`1f2x_E7oNs!vp2kb@PZ&ZF8ZPk$Tsc<5P?-G~w!d;)&=;?i1) z`Z2|SHADqH^>(44db&<~ za>YOz`&Zh6$sF21gF|cNEF8!B|6;3a*L|ELq0M5ByR}BG0^>3@LDufyxkP`LVqM^G z8xqiQG+yJ*My>bq_epl)}%l_Dw3_N-RPK$Ahk%-x&!>FJ8W14dKu>UGvP8EP%y5J1z zs(NIpXc#fS_@}RvI=pERp45AXXGTH;QHmAIp>X!@kkZu*&cXR>hnBT*y3}>3MUzw-uQlPhs?K|zPS;3IiX~shlyQ2 zL<-Q8#Zhii8D_uy3}`Cw$*9vvd&`g>UWkaV68QK_j^W}$TcE(;u~V=t8pQ%3^{oG; zZy@o-z+aS}5I;g*?4Vb3;1!f8V7rAfr>Wi7k@1=ik|6DLMIAj8nj zl)m3n(QPb0zn?qly&{!ef!?`HF4G{^X z8n*J^pa5q{z#ooGrR+6~r?rJ3b3TBx%F|-{XehR+7vK&-ZwDR5H($nPr%n{6th zZ#fFkfT4&7m_*=|R4l6hCDzrP76YpyYJVc2rN6a)3cBOn=E$8Gm^g-HmU{$T%5&&F zk|?Dg9+r}F2k!4wz(WKJ2i@gkeE5Pi;r!^#ynd?G&*g^}FOG>6=TgsMIIK+uex`UY zsGZuYbHoKuJ3D!o+9wEozZSoMiJgZ4Mc1MJyz#SmDk~FeNbNL#I*hhdLH7;TWE5*= zC%)nGrEes;M%f9K(MUb^Us#E!>}8YGJXXoqFWXPw44HEYYwGKHy}E16KoUrUMJDF{ zRQ&1i^>A@b?aV>gtU(d26IG=p6ef(<8#CN8t&FC&_WYC>NerlFVzYaaWYoZKk?Wm! zd>stcVFdXYJu9uc(cgVoAANncYVsaTbWzwB)EUGl=j&?DBTE0KDN8WA|4h4*uq$}) z*sZjYleOTn-!8-doTsAmPti^V-|+YYgIsAL?jvmijk`Mfv9JzEedo%qH#@6a7JboJ z^Kr%2fZ(tElOB97crCY_ay@Aylw1RmJVHnpLTt7&{5E>7s2AohkG|VIuBI zjil56DpJ3lfONL(6EzX;T6Hl!2`z(+RXNX|1ty}KrO8Kxm2Rp;NWkFk3 zo98a)HIr~w<6%m!{HRVF_>hI(FJ@VIS>icRmCTl2eDR>m?lOJZ+pSlq=0>h7A@cQe z{rYd9NnP`z+(A8*E>K=XU8#iRNfLx)5PzMt~sRhUcZmP_*rLem=15r;2vl zQ=pK1_i|nN;-sMnv@m=_%a!~28|9ZtM5ogg3gI+wRI9FA%jyaS_O%Fl2t8;H2~Xdv zLVzFdX0ZJ>YE#}n zb*uONX!H1i=y(_Wqo%+`fn(@fy~rX%P>$L7rD)jXBEb#K;*d za2U^M@B?v_RwEUjp_%E(+X%6HuKmQc21?C%CvM^AtmQy$4q?Lj2zHVs&qHH?jM;)% z_pN~!`4*|we;oVVxiU5d%ICZh?}DlCtO4%=TM^J;U)K1QR{e6d6c^qVsznqUG7Maq zrAR0(IL*Ty2Ay}8NKNlbD2jfe&k(jtn5sEMVGS#x_lNnI3z_bfwQbvL7S+9x>UhSQ z;e*dUntyHJ)8S*U5{loez?fZ7tSxNy-9kv_H4i$#Q#X+2C}d+6P!j^8vJp8_t^T}p zB!@`$FF!r`#!UTEAePLYo5m^w@RNNPYug)ldw-W8uLON&5YW852HNqVXCU zmIQyuQ*m*1f$H1yuKZeV{Le>;qucc?24*$lF?b7Gn2mwLEOQ#5k<{8>)`HbH4+QuR zZ&aTt)Aqb6-9Bk2t2y3~-3H{E|MEo-pXGax-gPh#aZoTCA-7W_+vrWrp~iMmyMlZ6 zWiD7Cl}qQNT={_xoI|XmfIdFu5cK?J-cKMX%u?<+6vqBM;kgJttr~Ur?D;RCK|pV= zx$r4Gc}fb^X-5azGyj0sD!2$Yhz{~k-aF5OTOshei^K{GFya+PP%!-Q$g->~K1a|#~_aL_yT{G3eW`hGZ61ko9dkO5dYTVB($x6U08qYhU#cW z2J*ApIuv2CPsAwo;~filW&>-AJ6v=52}hyPty3=z`IbIWnwoo3mpTB)semfmrLeN* zp$iI>`K?VKYZW0njL0L4%;Xc_e!dz*(7is_@a@Xk!6ytyevuI0GY7^>S%e#C_)EBx z8R6tz2aK$AsvCZ35hcQV`@^3xB8?0~N!#MDJBVfvKb@H4dtaU@MD0c< z=19*K6DZ^*wXf(ecFq1N&qGcrXMC3OIuIfPTy?#gL2J^Fb4p^HIHkaQ@nW8Y9mFGF z{fn(nNaa<0bCwdwDyR56rB^MMA>FoMwGTxZ{fVT~j!1OCuC{>FG2S6x^MB$Rm=(t; zEq1rkz0`ebuE-5idh`^y={$uT9Z!X+o)(&HsWgn;I~vMNH4|@b9AndhpvjMJ{YkD# zEVr#p#f*>8Ba763%%^j#aC~zgKVI#zEyCCKPGKDIttO>1%XI5W* zbAv;87_;i2VwDK zEyhFa9895coYzFfyiYHjL!?o6cv#>%jEI-YZo}5nIZtnGBk}` z-p}jdlE%2fK2j5v4*Pd@Ha-6RTNbK&;d}ndBJqwgLhpK}5>0@&)1~jagJaiMY zmYy!_H6WUe$T@l7VuiDzq3=9c(}#c7ZV-@L&Lh!4i00t0D)1?=5bzR&EFBxvI>*$} z$OEh_$d?v-P5~ZfJ$7&fE_JcYfUaF!VO6vv*!%8!PT{(44IO0;KQ^%iqCq+`$i zr$Y<)w5Iq>bbfHE)yzh(>I@v$@`lP8Gc;AksjmSGZqNji+`drT*Li!wE<{&kJNNrj zvB{UyL^5NB^aeyOC(D{`E#XbS>nmYK+1KXz!V^I@cd}{gS4Xkyuu$s}{X+*9de`A@ z^84OB=V*fJ?RcTWobU4ld%=&~vNj?18NgUmhQY`8D0J)I!TmGu8WJ%W>!w`dsc_DY z%XnlK%naa)p8S_R@rC)l5>{R6_Vt4Vmo>B+eYsrPzaztF)#|gTM$2S;;dHE$1&N}> zq;8X+(Q`v)aiom^%zKkI`=Xo-m-fR=Ov6P`8@eOH%QS*v6wSuH$4HT1JhwF{Iv6|f zU;*iTAYZ4w3JlBIU=ZEffttJ(bj6gBKU=-XN8%<<%?C^+mTjGQzAaQgrwa|_e_foE zz)r%w`wC{6IpCnr#Bq%Iua+?C2sZ{@3fhQ!QnkqnNk|&TpL?~*J|PY_iA=Qjw<2D8 zLK}jsP=g!oBG&tLdlnqtE%j#>>oSi<+AGZ%4En|e#NEB=ZZdHj?Fcc^*|zGPMymGY z)UTJR{MC;6t0XQcd-{y>aU{yAjN_1YKWCsq^wsXo0`?(+9g=fGX*p}xB>n%{4rm^nfO#oNh!|?$qnZos>9vkm+uxZ= z^w}MB8x4_-47C#&lLKb@6PFF-AxLp|5S)O2$8-N_A+s5kGt_4d5dRG$DuuUURMqkhD{u_>COFTb@B%jDfAHGn3IMNCBOy8CuYm9K!$@{ zoM{MVl3OmkIyzrpcUMBW&TizZx%`!zx%PQa<{sx>t*Cjb!3^Pr0%F$ZnM3x z&UM6pÐrK#2G=zV?=~r+q(6CoX|WOy^p!eW(<0#m5S-P$9L6K4HT@ws>0SK z%E@}|NxdRpaI3TxQM=b#KXZ?$bK(Mqyxk+r=Xoz{>I9e8oXqx?P-cF|^6jqq7|#$S zP7kU=SruU(ZkNQma(I;S*%o0;0LeO}S#@4JEE-{?t3{GL@qlWMPcONEY+&~gfz%Ch z9|O(5%0D!ud6vTA>E}1ZONk>GDXvHxIBwol6hC?jAbw}t3;VqfT_(QL`m1G zU)29;+7f%A_+~!&gmH>rt;0~?U*fjPxV2+d;(j8!4&YRd^DTDq+2TTws9Dz-Gxx;d z37h5=N9{`~Ma~OFmHdVMyq-_FRXp79^P)PJ-&N-CMPF6f)POn3bA+gfbe3~B7D>)# zWufaPWmTxEQZpm*r6wH8Wz2De(q&RGAacZc$n~%XHmW>vGSKaZY<3Zc*15IIet1GD z?D#QN?ytKibl-1rp@~uNaiPw3J69=@FsX7W3)btD`zk~ccV%Z-JDZL9#Qc+p+wC#d zyTf;fPL~VTY4%NMJhjQ)w}H5CAr%9f_1E_ z=9ACqMDyscV3t(4Vp6EVXu?Cy&Q#7{Eb6N|K-gSiiS%PkU6W9u<4b%`Vd_<@*~#ye z;fY6rru-Iwu&|doXCUOcN*}@~pHG!x0pE>w*5qx2pHOOSR`i7mCnUBxOM=ZGiqrIc ztoM5*y$_azsLI;>r_>^3APH_q^y4RMqdqyTq(J zE0C}zQpZX{V_2P_4%_FDz+7=0<=DwfQs)hsC+UZ`dL@aPVL=@^%nc`z$J$+?y|-Hb zE1lV_E$=UhF@C?Q*vHKl5j=GAdMhw$9i-^!dlb}++o!@1BZlLD;{(NPn@xYQ5Sknk z^;q&yr#v1LW%t2D3yqJZnXMJ6I}bB%2!eVl_7B~2VG`lynyFbdsfsFH@i!K~xz}}L z@m0Xt{~pI}VKVRm16g1X@6^VLWnPyu%^YVB+f{V^FGTi+WMZuvCL!4So;yL9&70Gk zzwris=?2Q9z<^~D}?2kp? zg=XcO;5%9|-Jg?5M^b~Rhi3;$RCw#3BH@(N8$!>FbISGf_8LILtIfs?|;+Bjm60cFg? zzYDU^=j-DEWdHC}-;nV^*(Y_T1JCa5)wg}+O17aiP*~p`j_JPEZET=Qp#m_>5;~g? zPF%w;$fPOCtx85LYw<+6MQi60$;SfTfQ>#97U|9-R@FpBHL%^KCF4TJ+duXG7Y=Z5 zoh$383hrGP<77j1^LLv+s>xk9biz60OQf#k>P23OdPfan5>wVrJGJB z^Fe;=$Q7}hc2@$WT!9-%jIJmBkDcO=!#(cyX_Qo3B4w7#m>RC||DcbN$%8)$W*ZAL zH!&-l1${af{NI$R&Z@EW$hK+moV}6m}gYDT>Is{!Smo_@xsflt!{3>S?<54pJ{e8 zjc^2;-T9?U3s%g~UN}oEB_a|l>gjEZm3O`;mD96r6-shW@#vk}mI4Tpux zX$d{+Z_DWU;L=|uN&ibxMj0-jCyQ!9O5J%gPo6B+Xs)(vh4c52Iu||0wK%|1pC;t9 zw~ZHwcOqwK4i^X@y21h5&Il08307LktF(x`B&aE+P#fil$Kq=~c7f~W-Gzh4v~s_H zaZ_jq0js7xvya1(l|8fd?We!a2iJobe#=HVHbC=0O$?EizuD-@)DYZHgIM^eOLjCO z2>$@DXXfes=qFjsPYcT1l*XTEqU$AstLgthn(t23?#?EgtQwzOq}g)aJayj~`m@%g zMZDG2cVskEB70>%(InG6CxpD=KN|-VFssGB_%N82C6k*LvjIdC{0-fckX4@ICZnKF z%?=m^lWLv;{Aq?Oj5Jl`V5igL1PfuX6qSWh{B9eWv5{cCUH8!7H|`=PDJ@Sw3@=$* zWo-rdbV>q7$evKHvfYOL$0TsDiUCiZMJI!I(N)ya@KRcH)pgAwBV(`}r(;9aR#xhM z#6%L7LDLu(tV&Ba^x}l+d^1=&tmISX$CRIHdlY-N49aQNOI0e`)vql&omX9_aYG{> z2Q#D~IB$|r_4iu9oS2~8*M*pK(djuK<~0|DEGw_8#*!~^r!5Y#kP7A7V@ap6%;mII zXHPjYYIL638{Q~k-O8P{B)PiO$dR{(6JE6&+ivI&Y;E%)3MbLeW*dD~^A(}|YfvsHqDd{bzQVJO z*UnxgMowjlXAHyEI`*)L7fswBhv~4+S4Qsj2ev`^%_C)~BxgINPqLQrv4~9=r>8zqFkU^uW6~;bYJNpsm7jDo?RW@IdXFrjxdM-2xJ8u*)>kuB#l8U5|!YJq^X2gb%F~ zB=JhGm-;)NqAoi&P-pslRamAkYCDnE8P{k`Mj(xqh?eeUoZe_V2bS%mSAC z68ELr>^ie=)quBKR|AuLd6KB{%{SFB)At*75c+VYz_JQxH|~sv^xk^|Vk-wN;fP|f zLK~{xI&5Ph17E0Oq^!6+EwsSk`JU_Rn}JkK+hn+PYsb0yer$Li_b5Hb?__M zRAldd0`EkRiZvEtuCWGB@18u-lnJJQJwP#|H{>w%44zq=5CnET438bL19vIk&ZU|o z{Pe?O@e^Np5tUwW68dq$X}Bzrp*0@$n9Ql!bAVkPq~L$!X7t02GFV(~zEUp#!2Z0x z;o4g}yaR^G33_HRayQu-^by4Pa9DFE3F~<1&W)IYKh`%`HcvjG^u8~Ai4|i(YQFeA z*{PFn;NYkKv1bbTTU!eF4H+|giTMv!RSVQ$63_qn3DDw_CIpW7)&EEJA`5@M*Q}IHX-p7E2IRvv?8eFSt@=#Z~-sZi>~M% zWen8~dZPbek8l0&GY<+^(nuC;6P$o=W#(<7;4lw0f66^n3EWNCC;JiO9gxVMC>$O_ z8~B0c^08p(I$?b)tW2NFe-IP_Bix$&FP7iJG+W)U`!-=YEg78L8cjefq!$13{9(F^ ztY*dEf6BpZQeIE!oO83RAN*4pD7pIiWNm?%03+Jx)AHXA}vx zU{4w@+oE+ts#SrPp{=`_M-4@pLhE)y*|%<+UNX^v3~!21`2=a0MhBBXteQxMD==tG z=mYMH>O=0h#JH z-6vgmGCs5Hm7M5|QO*8`hrkI`l9geaKnPPnxG)sx5|`RxiRJ+k<4i60=WH*1uMPWr z#L;&%`s{$N`C5pfYK56Fq5PqkN6S5kb`kMVLf#EM1|-fmvs0L;*O!Ff63)B@Hv z81#vzl6~?lu;?toGKph-?l*JaS=M#KSmoykSK`6M3+zsZ>(J`KNbn6Vb`j)Iar}2s;wlTeu5he;Wi(pegTI#P_4zz{o><#@8qfuutKQHoQ7iZ@Bs9;g^nQsh|EYErSB^t>>Nj=bt#O*5()mMU#VM!%!Ze284mL zDJgA3S9|#gB+p(#2F^1$^MA4}N%dGASnXH;8kr2cY0Z-EV-nCq_{(F_y(<0dv29y} zg}B;#q8#Yl_cOuG`&5z1Lg1dj-0}5&vXT41OytiRRdFzG0QnvgH z2ufE%izyMrdytg>3Xa!$(8PDaovBcc5i{w*L36#Pzn1Lv{rdR%R8x37_&3D?N`z*| zUiN!`-O=WM`$H|?6Ce}RhVjwpB2~HI!uaLln@cO7A?O(1LvlW34T??h6_k`s2t;;+ z(i?oOC{+(G-ODZA$LNZ|?r|bn)?V&rX9=2T;GO0e1YqYSz85Iti1L^{ugWGwmivq| z*&N6v6KQQf@XKKk!2Uqv!z_rM$>|z_glOETMY)OWq_-u$G-up#tB=S8xI*E1J8pEp7uawUh^87W6dNG5zxE@qb+^7#)>&$et9y$a8O5vWZ|0uliPKvhJn25Uh$)e-fBO|tcQI#P{~e4 zU%XQGy|kbTpIJ>;j=>euF#9dfm!2_F5*mxTsZ5;s=0GzQWU8}NYu>?pDIqyaC?WGt zV5*koiRB;T*dG|{i^f{BnILQMb|xH0aLYN4gI~t8C0E}2B-_u`TVN(`zEKx&Ja+n( zv1!^v0ifO>=5TcM%(m8#Rr+2pDJEbLdp`r1$lgbJ`(Fl>;{c^TfL&pxH@9> zxwscIpOz&4)Il(^hZg5YO^>Q z!K*=PR%y<4#`ab0>wz6Z(BJ?f#%#mJMO>@MUZqUh%gBqlFbndR2MM3EE9GD#3P*u2 zd-uT<0-_0j5Yb$NgzPh}nv3X%wnV?4x^;Ah-i5U+L&|ToP~75iM5s|CIj2UlO{s&BX3LCWD3 z_rGB|E9?d5lGbT^IoCx1t<32AwWZqB5Hi2p9;?-B#c(Qc*_J0|Ch*C-pt|;XIFjO` z-i@R#0dyP;r@NoaVu~XdW%qS5`tFVTA0Bb5houL-fC5Ibu9nXMO)#IKRz2%8p}+ni zo7U4<(dF)G4}yVzvU&;?o(`nTERa)$!$!~<+0}QM>u+P|^YmD!t9o82+ZBz1&K%nB zqEY_kv(*W!{+qJ9raC$C`W<<`H0l9XGj35TO+Fu0jrcwwH0d9l%(3jCEHB#@C*>Xp zM^<`p=rj*=?qI)+(Dtat$hAa)B1=Yj>&`m9wE3?a8ZPaiNQ=b!IeYqSRErHu?D6|A zLiDUz7gJvRYeNm~3r+44C>*Z`yX8Uy{~gwnsq6jE3zHW@$UWmv`K}2@F|uI zw2Bv1wipjDfF8!Hf*nY5*{rCEWp7zI7%26Q;b80uLV!%xyFX11kg}Bd#buTtfgwln zR>#AyMo}VxkpL`9OO>ToZnp(z^Ao5cjHNd=+{oaihS_&WjwYRWMd?IW&Q0x$LRDAE zJ5tp*;ktaLY?igKlh>lp?qpsqwA9}MOHABu)=ghNC|&-p6fwO03%n0==i54Fh<@s; zeCjLku22_18{OW$w8XoXEhJi_jb|+M=JHdMb9+@<6<05d<_#q^dyPR9s5BF}3#U|uCpe+HL#vU3dz zUlTMOolkvBB7@*|o031)aQ-|YSC^%ZlCRrgsBIId9bjlIgK2oDy(!H(k`xE~jR<4V zHa#=>#CkSNUBnV1SLp*^cqEsXk>k&FFrYrHXYhfYPIlb3>z$FM4au9C%y9h@z&%zi zT0t5y3XQzlgL$poR0D}L&pKmHPSVr8<*eWPXxVMqr{?J z;KanPG`gK_%5lKeT7N3!lr>sQLN_NyIr^^C97MuMmNM%MG6^b#V zAdU9SDo){L{q6|(x+VC^b-TKve|8{ug-G95es-F0f~j6poOgh;6c}b5S!(>Gba~~q z#P-DGu6t>wTz@=!D;A_j>L&B=I;Fl^zH9pB_ZCy>L1~_>`LCo)JA~q{%!ZKjZ|e|d zwKp%FAKR|PI&K&Ht>a(yIUx-YI&vwLIkE4!OtN2@m37ya3vINtaK>OKu7L9C7WYHm zu3gx@c(WuG*<;RgPwKb+Vl9SzrU;NrTNT$83!~4F$lOs?)wf>t{q2pwvwcI(fZV4+ zZH)oNxjP*Kxjx*gT`Hp6_ee5KDozZPb{G5#O?`J*5*0M8{#N-_7WAVe7E~+xztjFo zA_siUDEaWPb4s<#hQ&2_4Ld2+AQM)W-Ywkvzq5#dCs-S;6}Gp7|@aw-~@!$%Zy1XBa1s z$^bPJHcDkV0pui!+IRq$xuu`Y!~5qO4|6x-A_l|xOuudghaI2yhDmSO=s)0dieSd0 z@gCz)6u@OqCt#j-L${|XiiLKxc7jWRtXhu;so78_T%|G28;kdvrv8>>+R-vU7@y@l zFQDHb^aSi-2`X2+2XC>)(fZ$H@{K!QBicM`7ud5xLTf{M^m+*pDnai3^$FFVkO zo_l*epxc}d2_hP8`I0CY1vbEx0la-1Yc>_#`U0I4hbhT#ZLMst>CYG9DbsKu2z!f> zn|+n^S>o-NDxIr1Tg!4hgI(wqs=QlEWSrSp*%v_uFV2SSx|9&dJoo{mJkhhDM?l+7 zx`*2YRMZsk5B@%8kcVdSLg$BGh86$UUiyO`c#P2#X00#^{`e82G-d4%QHHFj^M2{c zd+l*Pxhm@Gc(|S?grSl=?msd&c)*Zzr>t-kNf= z&8e~J003Oacfu9$e#SgPx_+)($8y{!4^}>Y=SP^0eeat7zm9oR&<0B% z^A;ZYbVmqYq-`%>bhB|Q0ce=@txl>{kPFHmd=`xJlD+?G02g`rpQdD2qX=+Bq{!-& z6Wa?`rcZH(eF?=a-*^xn9-H>Bwrw2{YCTvzj;yO(BD5-re&EhIZJlRkUyn7$Y6O&^ z&)tGBv|46v7q|aI@K`~|qXO8Okp&vPw8L`gU1BE0X8w8*X$d>9%jVx*91+I;z4pBo zec0}{zn+Fd-{fiXjjq3&9(~`)dP9V9oT{c@t|R7m2$#FNPfvw`!E(%OLm6&Je=(%m z)o-|4?dz|i!%VJcYoOvJ0X6_GvlBAh@U^R(QDrmIy})zo>(zpuMz!w#);(_MC*6Ay zV+3salmoW@LGZTWD!rz#YcM0Dqevz5aH)59X0hLYUbw!;*34Z`M)gBhq<~t@@@N9k z7TmZm_PM(w@Zs?82exsKw3f=Hm4UjlW?*rCV*-ih8i4F3zmd#t)iw$Xt)cqZx>HeS zc%AwK`>=VEd~3)ST{=sFv+8?x{WlhTq5R> zSn`8J9Sbo3hSV>|KVg771+-H4EAHlG#yg^SD;i!3D-0;ML0I;X{@cDe&-|~yU7J)m zgzn1$?%OldiQy;ba;GS5NwHD}_7kx^v$evc(&E)H8m~o%z+{@O0Ay82LNianx7~h_ ze^uwh01#l;bROa4WWX&GmuxxSsb2zx1f_;3jZqA)hp4Gk(QSy44C88#M9%A@Mh(J! z76;udbl4@Nkq64D)$i;WMl1Iu$uqXz3gU^bSd>CuRr%Gr?3g9A1C_~MxOiT$hle&C zI!xVeDWT6tdFkPk83O2PKmmxNE@|3Zo5}}#S3McAtHDcg&X1P8w@Q#NUd?q=uq3_0 zC`9C4}=4E<$2L|AiF>kKbz-UuXy5We`ekjD|Ly}8JLnh{6xkE#_kwZSM*V`{_b zc~-khD>@U^-mK5?Dg7bv9=%{bxwIIIL~irgOEk*rLAs!!1!!hyCthcM^mM)?nMvfh zTOG^gGJNCZ(fbhmgO`s!CoIOxpzDhe;IvZLweM5uVcIax9y+)WAU1T$>?*SVqIJ6L z&E?kdqx*1%Tjg&7exZEwk#f%XYN2#fRmRn1K2!n!%T~qG4j|+dg#j*A+^F}4K6!}V z<;KSN{L@|<68d0m(1>Elqy>CwTpR6JUdEqV9Svm2>@(ck*64IfJJ^!c9q7IKDoq{$ zb$;n5s9IqZKC*cl_D?xxQt!ZS>CP&4R{b|P!}G46T4N<)pqGfzhytcHH~P5*HVm@6 zg%3VpYN$D$tvvq+3qkb0D4NXO8493jF;r0s!k8N$A;mc%j3QWo{%=Rwyvu=voDMkX+qCIGRZ&CKpzAHICQbRGF&s^g{QQ+>rw!f z#n<^S6f?&jm!e|%aU;0!0R`oV9Q0QOwKucY4iXH`h=yw@C$D#00Y82CE5)3YtHW?a zEeSQ0oTHRzBj@kn5OvqmZsieKunq|QDd|eKpkMNi033;rv8YT(7;WM`1?ixr^-u_R{C1&rtY}}Zr;>syI_e#^QxzcAoMqX$ z{w}}6+aNRw`XZb0Lr$x@$;0|I+FNpu*f_su{3K4Oz+2867)JwP&?DhSkR<={uVvqV zhb|hSKTK>4yzXd(!+3tsD+WR#SfkwzYrdMjjRNMo>s_L%l?rqlIU6Cu7ixm;eN5*n|8X9tiAbPPRZ-l#y8*p+8 zn66Gidx!2Uu>lklNE+oe?3j>* z)k}3uK%6HV0UPyqJIR<=Uwg{Ma9L;7J^Bi@0VcTcd%SB>pqXNy;htDk**5YU6TT=W z!pFYykLo6YM(H!g7p0E{r1Gb>ES_fN50q>9*{=fPaW8(xN;cQ24{cSfiUsPn72-?} zlgWOUXnzxq3vcGvOg}bU5vX@99oAQ|2nc_mNGg5O|EgAHyow+42VZ6gjgRxSe^Lnk z%R0~%8^VD+14$VJe%?1zKC zqA~Mwmv`83N%TZ<+4R&IZm})J#a>O$C!u3&J+em{YByDWyM)tEgry<)EWWac=Wvnz zG|M~N4{UJk)t{}lpWgmDeyov0(OAk4*-ZNFf_9GlnSP{)$DyEF%}jHXqJJGcA13tW zR)Rocv&? z^{~TyrX8F)(QazWQf=X{O%n^x1s3oq{!&r7NAvJ@YWk^^Vo5Z8cn zTLH|2e_)Gog}2|8#ntD##RXaJ9OuaMwp$m9?|*NxxaHQVvCfW}=4QboFcetaISQ z)>bE!HGlikPAJJbP91Wve*0~m;?b`!h|ZEPWdJS7Cmepgzz@8rn}J_^r5n~)H>LkJ zYK_3b`H7RA;=X$piwD0XMc|XlK$)Q#aQAtbKeo z?RiKI1EtILAqocU2Y_zn&BXrCp^zS*FAqTqtEx`Yx_i0A0`(@I4b3 zjAeOo=i~pWyp&JWppgg4hNu2mifCVK1nkAD@=%JrB+Hso=4^MPEP(17>Px?hv{~O~ zYW3A?_X^iPQ9vm?%_x)lA!SE%0;qW0 zz4%k$m*C9jnb=SrOuBfJn!q2a@^|Qc7TDW-OYQY%;+vG!hn!?-^}b?R{YuUq zJcf|A?rQs{8t>Z9KfyEh8l7}Uio>7CqH!q2*Yo08^ZT2gE|!lytahV`q6AYr@x|u3 zU&y+q6unz%Dmj&6`SMNQS9tdM$TLxaC|KqmzTTCN`4#gV_JG07%f}y)oIja*6PnNYoZRJ44pk=~V`eDtSbKGfQ$OrXPS5 zIRl5#p`FBfF3Rfa9~7IEH&2C$N7O(0MkgM;lM8Y>fM*QmY0UD}6fM)dZtHEG$$v z`U@1N;!CKI&%M{gd~go-&jV5hys2CJ%!NlD_!@_!3@uwIQL+e~H~!{>X=490kfDD? zojl43ZVxP$H}zM~$7M9zQ`7Hw^MWk?P~3yo49pu^nD*y1^D1?^d})tZ-vvh&so;nr zt?B99?4Jj88Fl{9zhmtZ{BZQ=TyZ|@e%)n{g2p2^TnA&ZcBcOdMdXrxl_D~gDP8mv zC5?H-M#Y9?Ha2=3sRbfGwkAq2lm^hxTUS%<`6;edHU zGkR1R(}p+W&(I(9J`_BdJjgMxVr)eLs&X?dFY+9fU-=$XVhf~1!2Thq@Ms5R{Gss1 zd*-*y(Q^Knb=}y|Sf#=!kMu(m3OBSP0{PHlZH*l;A*=t4vsd`|N#b2iwB}q7)7ju@@~M}LQYrcU>NmaO!bRgXoG zK2YR*i~f*(WX7>^c=8u(R$#oKv|&E+fh4GcJFH;O;6)iu zeCNG(1yHiOL(0(i-P1vXD0)+;olpN> z%5W&9L5PEPLV)Xab%k_i^`2A!i|eG-cxGB(F*p>@fa+-BJ<4vn@;$D2=Spm@eD7Y+ zABvxvxK>VS#<>9tpsG`}JJAzsiztA)?16kFm5V3CA}5wl6)Doue(LjN<5TghQJgNU2O#Ls3LaEX#B)?TY@; z^5%9o>{pb{w?*!MlK_h5Ee`99ofF?t$K$Km`}sz6@vr;IpN*#N@=e9cneT^%LF62k z1l_hjD>l#mSe7{36fw2Ov~shqVwZJDDSh!_JM^We_nsH?Jy^keMNpXj*&lrGt!{WAMxc)}%q9Vy{1 zpvc#i+;6?7>(cp?LZM`~RS~gFJpi;BwX||av3AS%MTKK3L*s$U)BhwAgoikison)$ zbH4ee{Png)Zi*vC=+3cks}Fc6=!x7g-dI5jIw~QNWKbA z-24ikv>u`c{B8^B&2!HdJC|Qku`QFp#WTY7DaplMN}$A|UvKmEq6q7`Qd)01^+n6; z_ZO>YlqO1{E=ezj(E2!?{ft5t%pc=rXCeC^QaGI`=xX{*1|_WL z|4OWGR{&kmhY+i$p9qV<&|^pKmU&~eDsmF_X$RtnxT|6xDhbfW$6 zzCWI%95nrui=h(w8~Eb#kz?phKgs+n`=bn3B!%Vt(DGN6N1)0j-za|?fAC#Ys+DKD z)FJf*Kh{{$ZUUB2t_f#LXj+^;}2q&bYnhFS6^8Gg*YHuO^QjV=q`)MFoS{ZpbyT3#tkx~ij-d;{sQp(CAR4jw7rhk~C9t+R92KB>*<<35 zEb_;st{QAbxKQe=Bi+p48up7cd2n9RhY79~9^(s@7@4nO0;p=p2a^pe5Kvoxy%ccT zPHKkaa{FC+atArBCz0)Utmb zuvw>hD;v5_vxZ_v$RGTnPRy-CQArAOvus z)3^B}Qwg8b+uz6_GmJp}AgqH041{Cxb5$FdEL@q-V)2u!%4-O5sIJkwAE)UK1m1D*Y&f17-lgswh9N@3$7n8*I$gU=)`c9OIV1W2JOZp7w$9va@ zw$IRMeB6K4%ik@ZS;S*5n|%;-7|~Dou}2YCD{9_`Jof25e&Z_Ih11Tfvjtg(bKSKWCM-3nQ6H3fN%1XW|-hRR>{*?JB>u}5<$hYrOu5b8FfhIlt z-f-UGE@yfOSLw4ks9{gS&eo#YzqyuNwwHd5?4JhmkwwfOG$xUbc`Ft&nYY&SaVg`t z?|4TIGL`9Hr=Hl&+mfc~XIj|5SI8U<lk20xAKIWTZc=}6429K0 zZi2|c`YH!laDjO=mO%UaGIjK(d9NiGUK;2#bNAGm*^_@*o~uF6mr zG+-L>>1W{EE&lLc^5=lj8d)6pp|pLgtVrH}Uni7TvHl6m>ioHUnJdJ5#p|!hDzzvFT_xNzvOCX2dX`20fg<%eViRn|47 zUJ{43lVE|N0s4yiSV%h7E_p@#9q1ke3WR4 zt@n$ab5aVFRlzp5xOPvma{4<`;6&k0G^N<8X!V;r8^wip|A+WW$I#@L`dnQty?*PT zh5~3k|L)eOvJUw}S>pVlHC;y*I2VpTs=}6)YtHj(lp0%I&SO$3sNOHqC!*;0d|KRW z!MDHyZYaFoR?QEnZ?xAINS%D{n;*a@mf82JJdq{(-?H-L#U6Q_t1~8vq|gpapgk$! z?reTiY;TAsn;)nNpjg)s0PCe&G8%GZybS;2Fk>>#i!DM-|Ck4sgE}wczmKGn;{;Vb?lE>cm zmE!WJKb6%`DPp#zp|3h7g=8tKPU@KBGG_upZ@a1v#((1#$;I0$woL)_bg>}osD%`w zp~`|3cTsHJxg=Rq|1#v%R_RYyWU&$lIZOe#gBhYm>bA;R z{N<1SLhbCs)=U;;0d$FecJZz_r)T&Ysz__fd>OJ z>(JMDj+gawdGJHSAK@h&SH>jafrsj3rB>=%xfD2g^BwEmI78N6O3F?d6rM5_QS1Kl zbsdAuyzX=uD0v zqz!@pEUkT-53a8LvxKw>4$xy^CZUOI$>*SK>pJWQhP+E@k88l0)YC6>z1h63XdH*D z`QUi=BL`uX6da+c7SZ77@V!8nF{=GId^cG27bvBc^s} zArxn!pZc`ArAq37Rr`AS=r6`tFI5wbbXazr7Y()D12pH;d*$iF|;0R945YQsQZGd02LiskM?j5 zh_G7EoWki@t24LZu%Mq`GyS07A4E9*D1X(C^Z-w0;g5Dx%g=t-$9_IsL2)Sd^c0^D z7_f96S0q=6NO*z|gZ1kpI_q$kW7y2!?-Sa>rt#s5=fMwqTGD5QO8#a(eg4R=aA=bJ zU>>%AKbDi$qzGmUB`8!~mL*U`v?OpJpC*2D^fNC;Ih7Bi5)a+JD7=_+ro1FQYJxu+ zU*jqGfzDK)`+2wc_!H(zN^(RTijUur^5;YMV-ZZ}JCbwebsq}fXP)a8pMENC2Tu+k zVVWRpLD>&$lK0(L6sJz;s2!ypcPyoxo|B%)GtZ*HIv#)W#i}7nuqeYWmX@YiYrgfn zUh%W%cBFiFM2J95p@Zh-SknCRgNwz(4@qXFunHaE71o;RvuLk%x>W6|CYQ8x)>x^~ z0FV3f%?E$ghkLd6^?bOV{OxzU#q+t*aLrWSOJf%@!}^WG`Fj2M@R1>m z_Q)Ug&2Yym`?)Gr-`~|-;a4wqi{JeoT9fY#9V{pvk6?wRQEtv?qXF{3tuiPsBNyQy z@thpW*WdU`M^->ZCkmJ2SJ;(Lyut0qFPS(n1<;aapd1>lYD-e~4275D_sQa!u71}w z(!|R8>M1I$`cZ#Z6XrDi5s`%YGxJb7lfd<)tkgxxZCgri+vh^Ltt$mLl&5;3_=z<; z<>_=$kX{WrGRJ{P!wo2a5-$)@S)Uc%vwyB6NLMqRM*HPkW##fI!8>Xh63=Dvy5V>I zox=XeUW#v*Uy=f-l(dG*BZ1nf6hIf&bxkvhoNBYtA9OFt5a;vKgMCRaz_soaPyAXu z@u(E^P>hV3TOTWe6}`f;@~bc4z4}WOwaWih#wb8t{^$p?kk)pMwc6VHJ#nS7 z6uGAy_9H2)w{xYq^oRe42YmXgJK?x=Q?YpZ`)aH=RiVM+owG&v+&`_%3H(Fc#cTN9<;KsW3Q%1zsn2Jm8-kc;%T#7)oke&6)gorSprRpIv3(n z^F$~5S@l2c8D%?R@2}s#qi9NeaN!Kp@xd`&<_8tis-Pfa+0Jv8(yRK@_H~_m@6vN5Xo;5ADpyW^O=BZg_$cRcv2*?>;?bM! zX;1)Nc|aCGmsL9Rb1=``>ku;IXO64?l?%BQYN62HNRI_pnFQ@$5?`(zy&e7h5e9|(b@EmO;plg<4)FJAm9~3&b zF1@PAl8qs!@b#~yl4M5{JsgVn7ym6}sw^?zSHDVw?5salEG@6Z`~i!(qFfaNe8DJb z2|?5Ek6U6+fq+zQ5dTPA<3mUJEoz<35Wa*ZR{BB7=atW%6m!|VPiPjx0w>h8H08Br#5q)xlhlzz9; z!4Pkt7dS;4L2#*Di5Mb6*}%|?5~L4txzvq1MPH@-qH9+0s0vmVK&ygoJRB(suvm&o zg9I&=l@dMVflkebJq&~}9%p{1ukZK!Swfdl%BQ`Ryj3r*kp~~ZRZzr)?lf9>0rZyz zlUCXMaD4mc0bNFuUw(g>kd8g+nw={B8Xc=;yrS_Q2C4nj%Y1Mi_Rj;ljH&n|L_C4W z$$SnbF_4slIyAgqo#l#+HPa^!%tew)+3`9ck0%W=5!B=Z`DN3OaU?eW4oF7aZY+=X z&jLD6w;#q&+6I$QzOJDiXl_+a0-2;;?JnvV8^_sS=7fIlN}uL~>0*B$GLg=W7SnkE zs=?*te|X**dDg;R#sE|}C7|?~3zpI{o)!(!UL~(FyLKWPc%6|)%+Ca!zQ@-))67z# zuRLTkz7>H-)Taz*OoYC6_E*`I;luutFH?l)M2j1zuVHg9?{Mpx5wY8d@u&R#Ls*QJk%8jzV!RxkJ1TpSucN*{3eMXy??EK_*nx}FZ!WSR8V-dXEr=U7rtajFi>aD`<2K}d~oPFLZpH<>bmBgQ=aF;7)}V{=R6N3c3-M$ynd=?@R! zM<36F!LMFkN@1Tq_7Cu*qIZ-2_BWyVGWfn2L4inVhg;PJbrG8E~#6^EMX+HCg=XT?A?4Jd6p1ZXl$g?8FIIdPpmvaNg zWRdKeag2G?vwpC|?G;#Y-_4m1j${8Up!00 zM&`$r{6%yfqkQL@*i}7fb493}CDti1YqulThrbwZ<7 zS}XERr#r=C-&~O8NUh^hRAfL=Wte#N!Qs{pYUEi{cZhyT^O-}24bS^ z=10ZF_x@7PG^%Fa>IYVJefG^y%krt}KLbZywl2I}T>0e3E#>KzXup2*_oT@AFrKPJ z=(G9R&x_5AFPFGhK^af!*3LX3i;2{)pROKj7`BP5i?y`7DZi;Yiy5K6Lb zX%|-Sk!8uJLN1VrNE~z}wsMm4?#?IwOONWvGUr-0;+GUaJ174{P$qk8t|!IM?zw+d zM>xXDCD#5HPY11P$%Y?=3+QmfATL<9(-K|!mqkh-Ih6fx^Qhj-c0}cL_#T#Z||2N{x0&7?xPF3N4pq@~UT|FfQ(Blu_Q>L;cd;S;2 z#)V(2n)+g4$O(tVV~UF6bl;6CzaOLjfgy{r$1J`F`*Pnn z@|39TXo9tavhbA`gl3Bc(1o?AS7-IhLM^BgwE?es`JsoP{8NFiACERhJf?iWOCS8d zF*fLN*r5P=ObVb&QUHY!^#aNQX;W!YvTS2zJW8n)4Mi`K=Ff03qu%5`jq>M=A}Ft} z7U9u<%B|js7pYqy`ssNZ`5IL=)vykOY3R7%;CUi_oE2SpH(*WQ^m0P`TOjpWRH5{( zF)uII$Rvel$QpG+>5_8DViY|+uMeFB;Ya%5h0;Q&x(obOHuGlE<@_1uW;v8a+4R#* z+PWIfZ^JV>9^kcbLxfHxBk2vRLBE%-jgeIU811>vVVf zXhP@d_x8^d(nn)S6TETAdRTR0KtCc5%zV{5i<4MTkB|lP!Km9m3+OzX{9z+v6-8g+ z##oQFDEf_qc7X?*A|)^DUMzlYp*UMQ+8c7f_=RJR63U^9v)edLeB|Bo zGp_#TLs@L=EHU~m)dQS}?@eK>F4LKr{^Ov_a6J1bfsk-fb2ux`lLi`s0=(th!v1ZlS!~8AisQA(MX?+vp5BU*b*Uax~^&4-)X8ruWgp3&|NJ6iq z2lK{~Mi#&sK!&22f0X6gKM&}Ejq+j$6s+cUObF!HY)Dq<7z^dm|JDi25qi%75+4J_ zye?1{pQOaffz&+kH(yK_`}Wly2b4-z`O9sg2bN_puQ zBwhtyrVnRc%%9WqVH|(R$Zg}_MpwOjmB*T}!|X7+JMfezrxeEl{l;XQbNQGD(W zKEO*Q8@|9>kp(HjJ9Gdcs5y>psgK^)d0wupvVP3y>;8(4dhaz*^z%{iq;u@!N+wtf z(H=LYlkl4td&NsHL!)+D!#nVO;#=b1O_H;cz9>AzxGPlou(Mu1JR`pkrO5k>U+)y} zyenBmL1+XMD1$$gK(PS&C0zx7(;4;;IFQf!*7H~FC@;_3RA2S;?AThZcsk=Rxb&U6qI^W{OswP@nZ82@=Ebe z*S-%bE;Tvb^p_|FPz#n)RVt0DkvFA8N^mQuzE!N8)D^+5r)D!;Gk*EQ|4-4`3u@-C zwy<`Wlt!PF6;#n6!ae@>`JLmj{4`eOJ<1>NRpyqII5*CYPym$z*~(4dEf&`wQfd8O zsVB>*+vk5?>|B0Lcz|o&!Lvo_=RR319($z3GVy>v?%%X)qeSTk=73Q1mn9NE-1f(5 zi4)$mxQ?#8?!=Yo#}(R?3%wFQyPy1-$`QYvXO)l2mjdX56hN^6nmnOgz2BnTe^7cW zH&%(t2gM0zSb7acydFZq@he!?yEUSCfx_zXCp7@yC3Lf&WM0{~h^RhLRrOvGb&meD z?B5eDezTtFlQ1VDK6(v&kRJ6f!!y0~Qj|XSrb-g`dRK~#i*M;VY*~^Ot=eU`s#N5; zuynduzvVwmp;-#uQM~Xd-Md(j|Qsz@Hk7wmCYn2P@k4hO?{gM9lx)+LqYwEZDFd|KvE^yA-^RwzlWgZ z%<@wD88Tzu6YWF7t@mmM`H_cE8#HX8uuIQMY52v&c>qr(Qhhq>npmwoRE9t#)>-Ag zF6~t1Nc!SEPqaVeN>St_U-C!$RXg1JL>~q0jIsbKtI+FDs2}*8()II0uB-Y~^SGoF z`7(csJ!J6GKhvq+J_3(2-0y*Wga`ilaTBph{1f@~3vZvb1M|#-dLI9(ZMY0On^@!0j<4c3+9sc#sZD9fXNjPj7T zZhLp?k-tIM;09?)e_J@P+n7km*v zf+z4sNbv_hqQev;Xt0NQ*l0eOR`$;Wx{O)!$29gt6#6nKLR07*9U;%^tgi)UzPK*- z?*-CGpqsyz#S#-O$BKM0z(K@ogLEd@)DZf_*De}pp%)W~l&hQs#DF<Ng-FI#}&(EKgv9atIVo)q>QKw`PmKd#|1gC37g?l`<0+h%rd=|hvUjXP1>wH z#}ca&B%WbXOL~IB4TU%3@6li4N&m$71it*mf>rp+uuWQm6lHS(oM=0~(b|tcJHj&m z5}%45Eq-2Eo>6LKj^?Y%LjZ#DiWLIUgi1Wu@azjYTsP`i2SQ%k@oC~Wncws_o$Rke z7Wk`b_wcCx9zH?>@L?l?4FoHGIv!W!aiAI&y%Z05<-m<QTJ@MeEm%?McDc(bJ-13he(0_P1FB4W+Uvvo{}{%>H>mmqBlV0wZ%oyDiOSP-H!7 zj*p2B6HoKObg>^9ug~={!f>UepL^qR5KD%?k%h!pUPB?#B^*9PzVEtoq4@S=o#J#T zK59f%Wx)5BvTg{z%nJ|OMV~AqOem|~^TkD7|Gpqa!sHOQEr7H61w?`M9 zavleuTq*yAEP$?~A0S6QAD`_>0koUShpcZ7*?}k5d_xB;pnhH!Ku?}zEkBGH{WE(i z^^XE$9j$SU_0^;f+DBinz3zHmq{r~Xr?P1K^Ivp}H{KdeYxYUM_yt*-l?Bif=u9b3 z=v!|$oJ}qW-!L3NSqkTf;gYP1zVPx+@!OYVVN_Sb!|UDLisa<9=yR8>#NK&FTB%%> z4j=WH#1W5rvb>Em5W)UDAah`>qmBIJneAvJlgQX4WnV3EK8FIRtOnnFCina+yz2~w z-h1&oGbtmCwE&8RKdf3#>p~dBSShh!*;87M`cuQ_ift4?Wo0oGzhtQ{Eq@Nn>-5#* ztWk=6y284*^`YP=(l?W(M--*v+Ty)*w8CQHn3U7LQ1mvW$fWDiljt>qsD2B_ACuzF z*AeV8KYxb1$IJm`DvGA-lQcCjPg6kG2~e&3WL^(c#vPAN=e&3EO@ccjpK zujVo+k10%lln>5J3!2ZJ{n1DZpvB@DDZf6h_HcJU(+Qub0b`#Pv2s+ClB5(^M_R&_ z40qPPqB5n_S73Qk04tmqq^yY2cnGn;5pWC8_S9p=%JGM_Z>aN6%?GwG{7m}KZOV#= ziLhw8dcPEF)t_MrHe}$6X!_5h=_sXI&HE)c%g4Vg*YbMYsK%&PSF-@h`9ZWF)hA9ulr855?i0vAhL+Zhc7N$M!x^pTUeqC}M%r3AqT8(2 zDD(;0_hh?ud6aGCcFKx+)2_=tDh*Y@OEpypZMTbnFce!RnDcsW9c7jIppPDOtmosr zTcG(4BtQ5HKbW8L47%3oiMg%f;h4|HIS2f&mFZ$#l>O5}>PmT0XJo%_0aRYZGnjh= z?u`yPn5iL(pEMpAO2Yw$1<&$8XBv&<>AN_DXFz50KviMMD54WV6sP|zS0gDkb5+|~I*s!@Kw-w!la^X88gKI6+Y z(@2G;k^mEt>1brUuQnJ1x#}MiH8HN5Y%rN*!lA!w(J_hflN>(xc*nZqT(F|Ss^kE$AGf!(e@Dh`QUdSa%8TIj)I&d)Pv=K+LKtDLjDZ5JELw*!74il9( zJi<-GA0kITEIb%%$brqHO*S928%CD({GtHjl;zmJA4r`T51L9WtQDXabKa}jK|gpL zb5?Bzs;VIu)Cn0uOuR0lzIA$=&XYpsQYZv5^>0n^)Y?4Jj88T;ao5p!luIAJ*L zE?hl6FZmCGIKt}Te&_HuzuqC!`IE930!dulwD~pSgJR^LxzWXj-_iE$uQKT8H-K*~ zytO{f@EiVQ{tW2A_z)i^G0uv?*>C2Cx~)=Iay29X;-VW|K;?k|jl`=Nes%c6dLxHT z<;Es!Vk|haF0R+t^G?^_{)%iReW&-EPRSqAC*AGuhu87xH{kK%d@!-P8pm8I2iixx zf-*2Ccl`p(`Zn{c5Sl#Pf)n!6l77l?l$q9Q`166s6)7UdO-CjEu`gOH&;Fe6mHVO! zpM}3oy!w*amp=kH-&-98vyqC(Ahk8ee{Rp?LJ`xxYugvjMBmnANs`y zs`Arru=s?MED9Ucv+w%p2HRK0pdIj$ZrpOBLTQ&DNgwAwezslw{vGq6pBqo$hI01< z_jQVIO3qNI?>m?0H|ZxvtXqUP^7wmQ1OMFfJ1T2@`$;-=Wc?F56;hNydY4>M@L3d!H{HbfTRo^-G z4Jk?fObr@^#YSEu6+r(W1<=1QacHEW7g_m&6hNi;wjTvhvNdZaPyp>nk#j*7K*JoK z(jilwt`tBoJSV!nsmz#E)}11S0_Y!00qRStd9(M+;*G{+P<)bd?j#DJJy}2;>@UDg zrAPs^yUP{ul?BimZ6Q-nidWrF|2GfyN*?mF_KRfZsvE811J4r#L8p>e}nh>fKokC{iCo z$1nW=Xi_PCmb4KSf_B^5blblCs$}|K%Z!|Xp(JYU%X!r{{TnV6Kz|VOk%i~$!~R9N zc2Rv#kL$;KvVcf`cIiLVR$msH@a3pDab@L8qUlqi01E#X7dDE`v;Qbd$fJ~MCD$ju zTlALi7q6L!Oz%>rQ?|2bLf&$(oi;=}8E|#EvV3(kN8<|kjZs&?uNO;FP+mRxklG<* zR=OUWX)1&D8V>oh!e#PKQTd66}9_N!Yuda+j5WbBC8w0mA}lU>8BmTBgj@)%%v>W6)q2d zoD)cHkewi%-f@OTy(if}r)x|7k%aYg57L91_v1m{>~}re{Dd(dr~d>$Cfk8?$XMnP zR!kL6dCX&RR@6oO=%a_^Fk%r=f0-oT*uM*m@`MLdD_>zBvQIvxyx*_@n&h17mw}RY z5r;Z;rj&Gri3rh1W=>Vw^pQacxv;Z;7SMTG?(9EG&=VO$_hD{ibdKiHVc=~(xNQ4p z0i9=)KTW^m?FYIIc)*}fV~~TkLF=;PKCE`I*SeVxPH+D_U`$X&xa_Qxekq?hh%+D! zG-e}pok7|%1AZ!eiX6&;wBnIy~{qvib*aL5>VdZIM;Mk>AQz7YK6TNi(}0(#BgLAIj<~zA_O#m$~E$v zGCU5FYWdmkTxaEH!!|apndl35_{T&$7AEnY$-)H}N}s|X>nh}*^*DM^q7(-h zaR?wh!Pf^Vrqe+|^TFk{`9(s4e?mX)B`khIr&@l{FM8%^ z&MB8Dr`8n|Y*E!$i_o`oon>z3lDdX}lJ|;^1&p{mb-8t*kHk ztLrM3bO4A#MdYV=^uv6i%Em<{PebX2Ubqs^vEj}5>E{5DgHYtm2clGgu?`%zgBai& z)KDoU-}dQ`4E5vu?C;aZZ(P5<`Mn`e|HLyabj_N z@L$thj`d?W3GD_SSMBoQ&oueZDsJE@WmWc@aI~{4C=@e4oWhwOPBO~x_v0XBLkSqX z0u$kN2_?{)e7Et3zTu;fQ6%gY@4cT2mApF&ZbiCJU;WBL@zDKJsFamN90#8tOR4Xt zKietJ$^zy=;|l+AK-N3U!tum$SsT=CxwqZQRrQ4wA3Mc~b*;xrSw==sI`_Wy1sU1{ z|9Af|8UCwUlYC28T0iima^9@+Sqi-QR65UBTlMmyTclS%P!r?UI+Chh3i-gJ_oP4Z%yT=% z2Op(uHxm;Fetq>3uB>O@YPg?_G>V6;QBK`7orPCajr;8h0R;h(QfiQHB&1;o=|(!G zq#GoJ8A3$5OS+|7dg$)%?v5d5fPp*j_qXnUaMn3%ou~Hx?8~z+hxKib`a0M%wrx2sT$Uh-EV`#4uNqQgp5KOf%}gM2<2YWza=`q0~xR5pOe@!MN56!Sy~s+n=>i2 zgW4ZvG+as#$d5;4c5R{$(Bx?Xiv~!ZV65xXZx0-r@g;8HR?lLI^dUsga_n#^xJ&S{ z^CH#Am;{Uo3_X-n>9#>x0S5>z z#sqkVmePO_Yt{hUDPy~at%&>E7P4kiI-qJ|XX~sHk&UXn)Bg)9(m*B3JRO$6JS9-J zK)v4i5*JSxR>@79F@^d5rq&84J1$lY#ggawuRy(vQ69wo=+evuv8Lu9ExJMGQ|Eb} z6MU5*hr)Q!5+p*uL%IFtT%h|m=-v1`Qbg$0MiBL$f$(z8+TVY5ZgAqkM=X}V%D;w{ zW+BOQ?V4rlY^>F~_ld)`?0X45NsADw`BEoHj_)6LQb$646iX3%t^0^e!Qr1&2?Poo z+eG5Cw=-3>#mCq%%KF(VFQFOj;>iz!6#$b5AEt${TD=BEpccY-5~@x{)SFiSBfOqR zl{9>qTY^LEx;Z&q5pZ6CvLyIqbQ6UCyODhx#|#H}jMtPzQDu^O%+`m$SKz&N0B0Ud z_Z69uC2rA0>CHVnDrU3@zR5}HwsaeE2`6V}rI!(n=G1XPzC}}1cb8p0J>Oa43q{Wo zT+_=>&~)nUIc&GF*X6mK**q_O$cF8CCfKgoQ$CM$Og=Ye_(aP8n*4)D%yGX75D8>t!7>*`uXmm8?+}?jJC}_Gv_@^J?`C_+Q$ovB zDr19SimiD7vH)mZWwCj>uv$f?DBpx?i{k_Z7H20t(w<7+CEd(ym<9S{|N1u#9WL#w zRJxsHE{;#}@l`$N@$YO4*EQ1%fPz!w>reL8h_}NehTK)~wI^;}*cm(GuR9hr^SndK zMMXn3Zw!y$ZtIr=&*UCajvpu`sy3*Qc2_+Lp(DJ5(o9PuwSQo($y2v*`1!j1NDfZZ zvYw@+4Tg3f{^w%_-~|DhKx|1^>l3kKDP!;Ndp8u?Yq0K99id2UGZe6U_ka+GhWs1( zdXB2RrBg+Bz%t#gQ zUkcqH{q1b1dnZ$VM?iHS zK08Lm5&rR>Z8-=>2jb1#1r{Bi-!CEuxaUR&p}yq!t(MB1BB!2D@ab!-GQ@M2ED_rg zImu|vMeURLhh9I!YjO=kk2G{biyW#V+?H?N1HQFq4u?x?0aAwiCbzvksO=}wwa;6t zAee=IorJRYHadzE_vW49uP3ZOM&)?kzoWk>EJ;dHTo>riM8f~m5V zKowobhb75TpD;Bzb7#IDM*ggDJ1g!j6-7)qP26Gmh$Fc2wa@LwN6|V|I}`tFn^NO| z@KtBGT>szUakPM;YFRrUgI8Ab)jbhZ!Ao_>>MPqZzA%I(%XQ9nX&MoUFZ0*a0R5w= z%%%yX2zPqz)YazYb zd&`z>x=<&3Ybs3ByMUs@6W`NyRzrh$3Y!U6pR#iMp($F>_F^9(8Hg`8sjCs`?X?j* zRD2Sm^?U9DT~+S>R=8OMF)zxjY0J&WsN+N)PZD6Z*5HnKAoa))IL3)K-*_0QT~+&+ z##^b^7u0{!IWOx@(IX~{F4?;ZlbrH78XRpgD1L5;srPhr%5(%5n%6L9IpZju9+Q}-ECILsy(Z^eZaDp_J%PKv@9*|{dJHu^dcRZLa?9writx~nvR)w- z{$NR+j&+|eLvhQjb`iFxT))~~GTDWu#PsseYM(cKIUfdB+5L~`v=u}%Ze%sBS?pED zWZxLQt#~_Db@q!b33r_mnZVt~XfNbV8Nr!V0XjDV$!o7zAijjjx}*TS5`#t`ubFp($);O8b_fqw1c~!=YBzlnyOP)eh-LE zul6|mW0qUD=Q3O(o6H7*3iR`ISd@?zb9`dbMY_{x(rDxv@qI*c!=U-339pd=oKb;u zSD#E(e%$OB{qnNXVCr*4$aS7*;S}0I4V%A)YG0aWro|f0Ju~Ue?YUS=+cZW7P}ZRI zGEbEgM(4fb^Lc=16%B3;ccIz&dsDS!!p52|zPxIlU0g)s z0M4Z7NvE2uj0ea`2o=S(A}3`1vqX1e3%2Tu_E}#`Vk{_6ZcZyROzQgQ&rm8gHECH8xn$iKNCnk1^-#= zZvtMbp)p^2JT?Qka)2)p1QJJBp#tNQc;7Xts^lBwAK#T#)v&=O8PAWcyy=0qyE!2w zS5|^4a%&0j-(G6g1c-OiuMjaQ+?Kv$_{lii z0>hTD|jQ`8jLwM9{w?E-_43297dQ4Ru}a7u}T-vOs_W zci;@={*&lZgmqQ&_pMtlyl|>7~A!bJQXI-+e z(5k(}u97U4J=l)`j&9#N@LG)YOB_YKt`w2lr$+sRB&GcvA-Oq$5h$ryR0F_TY$Ogi z@~mcPF!@1~O_E+}0~cYC!8$?qH~BwKf$D~=%6(Yi28(xWu5H~h*I`~%JznPhwg-2} z9b&ud%ePQ~%KN@9BdR6FxrB~nGyyrZ`GpkLynZyBHvw$UhA`_FX)mL%Yvns71j(^h ztbbkE+mnb7yx#%fWSFAiZ+7ec+*P^wi0G7kC{6^p`jdl4bOuO>(7}CfZ5NWr3(`R& zb?Mp<+5+DX-l`a+3z9MywD)R*Y8L6QGCC__BGK;6@W?xLp3SLZ$<3$t`5oYjx#ZV* zxL<$=eVDKPn1+_8_xL%G`I=rxY4IQ61%{7C!Mp9R43ETFDGeIH&k2xOFN&8+0aWbx z|HCqLa5BI4#`j?YJ_G@IZj0*Xm*$NxIj4Ii>Ph-9CGvlYvzSaE!xe8)@1CqQes{!0qfS=+4Lt}@|9GN$pz(jkQfP(u@4w%BRG&yk zd~-PQ-u!sJR5B@XCd_(C4B0$6$zmk4CT^YN!rVa(eZ(m%3`#% zIQ_QiJ$)F(ChvOj_sY;_S6;ZxfC|E9xi`OlLNbmVi*{MJ2bHxOR%pV1t;Yr{GqZ5_ zV?H}DYeJCQ#AK7%KN5aA1|BP*Bdy^kb%+fv;~l2*@nuJUUB}V&Qu9H!Pu^$mc%rj0 zajdrRdNMm}l8^%PwP>w%Bj9Ie3yHb6tYri@I)Ym68l~A2cLh4ly^6WhO!RuNny*f3;6Vb!IdI^l{> zB7PV|(hML@0}P_AzX2Y>0oS!lRY(|wC2C!*tCN<%>7VaP4^C0fTKPwv5d)+Vu}#`6 z{pfAlH${Kzui~{<*Y?iyU)UR*JMKS_DqY=&ipV->1x~RTxur_T~_y zXov!+53cVDu=|l8mPe2yP#6DAmcrLC4n*Nxs>%f#gQ-^*oCKS>E6zhJH~utt+sny{lkU0IH;vvm|il z+aZm?Cg`~dB1)< zY0Dyci_{P7YPpd0=pt(YQQkjKPC7j0U*Fq5-%nRX+;0|*33`S9di~u;;`PCRjIsSo z$pPApIH2F>|L$bW=rbA;T;8Oyf!cAx41f{A3fbUs+bbF$YW_N@`v%AgwXCev_mOcu z$)n@SyWF!9Ru5UdiL``THm7#)rVIf9QmT1fujKfCJw?;8IBGy7N$l|Bipp!FK7saa zN|NiIx?;M)Ux+di!uYvSU*|{UAPT_PR?};h^bVuSd?gxE?m$8r3zMf-gTfS`nL|O6yT>zFjpCR1WDc)BAp>axDOvqRekm%I$ z6R;zs@QRPRZj`qO5Sy9rexRPh@^5iq_>5Yg#iS0*;Vp--TBvW1d{9g83u~51Yxb`&h>28}@H+yhB785f5)y)Fxh~!~*FR-r{5wL93rJ zS2ED*+BS;6^6Ir^9}nKWO07(-aCoy<8X8h;9_#1XDp*Eb7zE#5dBh^>FA zitF!pjvLv{G(34O4c6Q;2hXYuUFgB$pY*8Ui$J;PZ;1W}_#1S~jubop$|Fw<47OP= zp-WVs=>A9JAT(W)e%+aAQ#mg>pTkigXs6{k6n5j(W9 zm4#NUdG#w*6jw;~&Jgh?SAZ*pfd3w8dzG3m^cbhNcsiHoY8a@u<^#PmVlJx*;THTy zb(fB&q5Q=lC;p-4PfOn8VB%`SO2n?BUQ5Ch72-F$vG$evRj|}lJu#n>ZjonxYqOEa z-EfB57Oz+ywHJ63nz1FU%3fml5tFc7k59N)vGV&inU{rQ0`2#z)(CODnbnH-V-I{w zZ=!QkWqSk@N@_WbD&rZ$w<50FkWRj28f$%k%J7#9oN#GYZvWrG)E5l#FlW^oZD6Hq z+Y&Y4-$ke4iC`}&XDU7*sn>z=^*4H>ql*=|@nz{cL!=tW#_eKH(KGLB3lVl}z9(d3 z@fqb6wndZj%Qn9J2mhK~MGdqzFRpzRhuzurPSV@^SV|%ZCo$UN;;Cd|+D5iN?3{OI zCk%M56RbcKn&=Chtb@B9)suVB(xQh0>UA}So=z}Ctxz?~H%#ZA3mAgP567Q>F&GGh z^}@OUHk@tG4SB@k^hKyrB%iv+nZkUzWez$o21@|H>1w+NeV zElAnz4F|$dL0!WF7sqj@I*rHiM&ON%LTYm^)p4xL>BAM}l^aGArtGW_H-_5Po~men z;(P(h4XvnTHG>M1{~EbYzd364dEX2G^TqiP(XH(5HnDg&+QEIdWXL@>lb@9=cD5<% zwdW9T3|V`b);g=1+#Pq@&Xs zs0zm#KOn3@q8I2RhPTqu%m9w!@`LFmt~2OYHvB>&LkBeE?M(kFTh*tQ4v*B}roGUg z75*l1%+@>8i)aOZ1yoSo4|@oEuP$564g0371R{yO$MTzPR--IvY<_-u0i(BAlYDoh z5s9`V6w#eo?zg%RD;MDLfkg^Zims=AVUc% zbAtQNGCbTwu}|kn)%a^LsDXE6{Uk5d zGyEez`X^tm;x;#H`HJo=7GM41-zk5ssTnMC9P87T-Vge4E#8z-lWlda=QAdxF6*o& zaO&@@1+hi9T$N%wBIeWB82`~!I)}#e^A)@9@9d#&U*RJXvSuG~FWndu)r!9LzyAxC;Es$U;@!4nYc>OqYzXCym;g>Cd!iLS(y57b-?kG$(yiSlhGKE5Q9dp zUY!TxXIXLF>#G5(x)$T~(rE^Y||#B6x0HX=lTYLpS=H$??2WW}bVuH#SmM`pIbQB8Ru1|#55HdAR?_W;x$z)O&P2tJC1EdEReFN}Db?QIsFal9 zw)9CF+}e<=`4yN&IzYj&H~-aeRcER_V*O5sGY)9!tyB?YQgN650mq5Wu}30|A?V$! zm8k%xWT_W~dxju3hV1j7yRcH>14_Ct8VSULRjBJie#-rN64TwtGJ#!Ed?fTQy`@T4 z0{Bx)xo=zkSa{qk0+-?~R|7YQsj%o|^qE7SotH}85v#_E`<@mM)0 zCa$d}qoi|J+(*#)*gWqQI!a{A2Iu{QRd!#os*QYQ8*%+i)bANB)HN={nMN|g{MJcN zI`pa+8P%6H2qo|GOuovasxuhUX1<7S`gr44YsgVADS|LL8HV(HQ%Oepv?EzPq&?s@Ea!&OYL>GLT3KK{@^)#A!r zw2y=?sfRkY0(r4J6vW83z7~w>;AyFmF3Uv|NJKaz3wQrSMsB=JT&)GVy4_J7jM)&rn3FWNA>(3~x zdGVKcy{%a1NYT*MfTV5$TiUk>9sp>C74-a_DqSVWMpx5aM&Tv+T?2y)oq1*tXf_NP zyIMYYUz7l>{@z4G$v7wTCbhYla^}MiiEAFi)u(OnI)^dHfpKqWdkAx1mdcn3a#?Tq zEG&i{dH&n#94ye8!kVuu>~n?sEX5~L<*us$g}kg>+PcUTq-}_r;Fy;V+Mc=;3Rp`f zB1tBx$0MS&rDKp6SduXz;9Z{_zu%taUefhf>epAPa+RFJ+SbY{Z~nm84)bV$b^pkN zx3a8>K2Dfjo;oSS8Vp@+=Z!Q6SEa2i-LOP*<3kR%kZUCiQ6#R zu%y_ro2{CfJ;`vgofHNyLt?+bV~n&aWfC+)twY}bejzu&x3;L7?#ITy+U}1T*tU2K z6D8kJ-NhFeI))=WW-dxiQhU%228((KiJWuVx!=gm4ee|n`2YNh$ohRmiF$~DN&ZV6%Sjj$ zXH5WRnokZwk=sb8kI&w#-4L^up%qx!0x}-nc730yi9Hhfj&0p(A5#kTnpFc^2`Bra z-Scuij8acnWp`hl9`G?!GLLo*DRXA?$9#pHzZr3|TZ~ZKy{>*V>myJ{F%ClLooGZK zT)B$g0#mnV?a-_)RMBJ87NChD)4z1(XQrk4hqDl63lLZ!H`PBBGVJW*^`ziwtVE9a z4>#9+MJ)Xf*Ihgoif*6T;R@)uar16RU>QSHT*cP(JM1xmh(hnwRP3J;YP(RZ05m%X%*{a#!}swzww zA1evjPg~u-B-?*iL5RTJ4W=pmdV(7FH_CDPocnt~dTJF1swANh@1BBs6g6)T08zfp zM7C+lRGMDf@|$4R?c*ZWDi(69uWT!6Y5L1(9qhchv5C9foAR?s;T6G_t+{dK+x4LC z%1ET|5=8yU#he=OP{}99NE%el@M<>O5S!@J$gc#oQ>LHGR}CiC_rd@q24R$RXY=nx z`1fwJHyGIW+JErP3ZA&|EDmWOhU%TSzwVCsIyWJIlVgEE92y3bJ<0Lx(x1ZjRO(Tv zjF=9H9ip9$LmMF#%wYFMbuXc05RBU7elzG?)NzLzGvnO`f#?!2h$x7j5DilelV@uA zW?2Ldig{+4a>RJzPqMR} z=to_9I42(|JCpBwWFn5bp{>ZgAS81D$tIA^0QR{N<>Pkn41cg&+u5e(Ogpq09$>n$ z@_ddH*u%#aThm(lI7 zW_*JPdW^E7s9?30j4rwU??UvqQtsr3kl3yC+7U?ANny`gJfL+Z) zfMW&DOYOH^LgF;h7pOmqmFmd9O<1nY;qc;FB>U3k=~fjT&g6odIqe_J_(MK1&a9kj z)Q1WK=%;M>3ZFZ>QfxPjsBG)2;uD`x3Vt6L*%#X2R6ol+mHSdqs=)JQL&I-sE*B>} z)<+hn&m$twJ7Lu*tsJdFN@$u~OM<@0U?u!Uw$-0dQus%l^%Ke_<~~j zG62Gdnk{Kr!U-RLTccXTUUi}!0H2`WnO2i#i}Uy|l(ZA>b{d3xlg~yG-}l!O=`|B< zI72-LhXeA9goelU+oX(bfPPv9@<1`b}{V4tkr1|ew zR?T@mfddV@X8gIvARWPbyevaRbkbN>&?l4b%;3Ir*PJkSh5n(Pt7Y8u#1_9%n68aN|~I^ae0YTG}g|V$b+FhjI8TL zwFm=)jN>J=1LUvU$ITKo0hAZFfeJZAv@NX`Y4|Mp>cE3PzMRWgn!Hc;z_~NeK?!U9 zB|YhXZN(z^nSWh2&kfAQoZx?xAYV5BH%kc3R^iGYHaQc6k9?U(EZa@^jcNjEgJwu0 zBv~_$;&2D;nK-f3?o|Eab!k?SmMnomm^~%ig2%#j?1YBIP<-5kJBfJk{+_V(T`gEc z-+H-6k=G!xSHuW)J+{W?7b9ghG^Rb@D(ZYA?@^(d0JwI%Q}6?Bski!YmvnWlQ1l(C zk~!V%ka_nq>`zTsDv9{IMtUK|-?A!{lF~mq=j2NJ*SPPlY1Xe0RVKamU^a|4@Z4AK zAtY*PP{mjFvE$Fz_N?-Qg*G;vY%l|7k#cvPQNr%{jlpxR^$&*EqS=pBvMvSyxxMFR z`bc9fyn8_Y7jF$dJU!heS&T2Bqe172lp)Pa1w;c|mZJ&VKfe6B77xe)#~Mv<3+K15 zsbhzX!4Xz^Dl9()jnYkzSR+q|ofHMnnl@6gZC$!_9KLPB8fGqm**jPB%k35=o}03^ z_)bZWC0032Aw=Rj7Ljf?rj+p?fZ+A#8f*$-T2oZor- zj6mg$HAwUT#*H1)$TKfiM}*JpAsf$?Kx~PdY`9Dbqo|5UJLtOC2`kuMpAm83N&r{- z-V$DJ6Hk6^sLa44(@A6$JfZlKhKr1&{eV4Wjxb7c`SFlZUfK^aa0jD4KPDZ8&b8Sh}m3Ms|4Km2L zEu!N59%bMN$g9q*TF%1!3C?b)VdyOh)Lg}6 z`ZC;fXSH(a#=t#^Sj9qtY|5T>|4?Y+dI)WgerP?%MNhDmj0FxL{=!$Uk410H#wgv+ zmwcZm*!%-&ag2nv{3THT#zgr9YrItZjNdGLftk*XLEScBDEQDX@iRsFpF)*fhcGG( zYy6D{Y``QVBtf>7+))H0dz$G<{P~2U2g{lhO!1ismC}VmO&ko*7D{KwZ9Pumf;vo5eOu_MGcx4VyWY`dMj8^zjv z;FiK_&V>&7_-*ss7^$TkKo#;G{n0f5&%R4vz+9H4{F`GFwThVLpzY;0Wg;eOOH&Ab zQhx}wZh<(+xelZ3YmZMbsT3^nP*J3fnt^2u#8~=>jnm9RO*%!tT68f@TCEl>inW^* zq8iG&n~0I{{(S!2hl~#j{n4F}BcL0UB>5XROqpbfjpEw&4X`Lp)FQ`0kQV_J3Bc86 zZ>4v-Kr5BBf4O0zLE}V02NufFJjSKm{}N)a#db{1wRd8MefSPXUCz{gCOkU`shY(# zb0Ng}WdGVdA!=t5Y{NruL4cVIAAPIg=$K*yLLXxJg9b;hK zX}DwS$vdp35g|ci7eAy?V(?U1B7g%)0Vp3xKCV5jQa4s60;B}jF!`}5xF8=*WMUWa z?j7YeUE9YVoyBfd(cY)eNed@P&_XQ8SWC)IFKeF``>?AfdYtBWRFSy~<~eV3Very* z_i)uQTO#^ABZ^irQ0o^FhThhe_7p6Sn}afXwF~lORZ(R`YWG|f%mDKFmAfGr%c$yJ zXEgE#O$6SJdNgYbPpp*N4!-au593T>SrBt(|k4DonU3wdDVZG~l=OBOtP*V5 zGIxta^`0_SBoBcv6En7&Oxz3TmR0P$JoV>zvtYMoF7uS~h6h$ceW3cjevx7GMEyMA zcK*{N0mb1)e+Xa@`=GR~3R9saOGbuWb)@K^s9Gg#R`d29v`Qbu3=(@V_WA2rA zv6~+hz~Cr-{vx`is(tignv;DuI9^h7J~HohiCqr5X$+pMp1xBiLXkN=bC$fSM39J1 zI&bWLK5=Bba4GU&32_2YXeF~r@U+^+(Qr+e?N>u7-))$eW&U}?(XQ#v`KT$#J52i} zGONg4`EE(d=lkllHO2(1(@?kLmsJV=3jgPdsntq6FG4hXKElt-00p%IuzJ_ zHX$U6$vRrhc?QDpwK|PeYn*+V`C^$wne!1aS>M~`H1qPs6q&Ph`H=*{?a0FiS1rx~ zDvX;%LX)}mc}aDUEMb4-I7t6QZqh*iTx;biNTayz*Od>vChFU)_VUj53knT;^9qn0Tu}zZ1Fe%o%@xadi(U2Z# zQth({Kl`zdlZZpwbju!Z|E1mvsWm1FvU8)X15YMJJZyDL1PXMKuRoppAiF7J`2#{W z{f60rw^v{Csv*~Vgn)>TYc)Ok{rvSqTec<2O5E^!L1#kaYxYiB9Dk_oJpx4fuI>x4 z$2VEfmmYsW-_NnU^%WN50ZN-B6>(9iAb;bg?d;z{t7pFiow5Bv#;x#)VkAE-b$Z-B{bD9nOBBoApND zegSJB*4Lchd1D{$O)dkYGC-cP*ZbMSrzNU)@a?SfmEG4q398*1 zpOy6d^^c-aIyt5w-zS5kMFm!o6m}M9MNfK^WpI2t{w7K6llOH%&~j(~#H^?913r46Zl1jGkeE`>A!+Ktd?F4$dZmlyA7GRf@Qs)Y z(}s}uRb=o>A@*rMBKOSy4(|`%5)3!RF=_EXI16RiyY_J`Tc!B zE5mrB`NUhQ@1)sMbBIT{m@^7)qWfr(%P!keYH(IIe9m;QorXIQWyoYOk!;)XE|GzT z4W>g_iThXM@o_bXW$nnL<#~W5 ztH&!chBT{R$?(nB|AYJOwIg)U^Hs$Q%_$iM#L%zK?xZ~Yol2NIBBfA7I}|f*OzwfP zJOGNt|JiqKciI`PdSvJ``C8vU|AudZGm`TjWtNeEiP9H(RBO)lcj%O*L9?7RMG^HM zD&q`1#+h5`^A7W3XKhV#C=@ZT$hF2I@63K5=uJxCzx=$bv+#41F4Q~3i)aM7Nz66e z|0M1%fDY#$ZfQnvIsKh=l7_w#vz7#{j=?5^FF)oMOH5{IpW5cHyC3$eLax`7-}Av5 z<}Z@mNq&A7x&7N%W5{Jr-Iu&jg+Dpc>QK4bIQW(C#b6_QndN8$SkrdMt%2oOcJkjSFdu3 zt#g(&lY;awaD3+1<`Fy3W5Uvg{eEXFFu|AZExUUvmwzjEAv{FT*7MbUS{UACk@gb@ zrRhWl{=cf<$6jf+^D7l!pP7D(xSXMv?U;4B>XARH_)tGTMTi}wi8H6rIJSA`z_!m1 zOFWnZH5@4`7rrE|s0PYr04VY+a`Kfl5cY~~X6o6ls0chK z&KkO6igGk1lhyM+i|ck7gLkTGmlViCi=J(&8xbTooSl*fS!MZv=uhNz?HWYSm(bI# z8~&eZw}N}8eX|5Ba78MeuWb5K`B0pzD>ru1A^##(k!IcWJ~XDw9qwjkOYpDy;5(@! zRm3%sSSW^C0(m*gQu4A-=FPs((|?}T*F`E4UuHSdGL|g$HnTm6E4&62=*Ba}$!vQ2 zipCWdk3ZGV;`Y*2jTRFnyz}^Uxi!SDQ8AfSv9hQCfWaJaTXkJrx>3OX?ox9Rq%su8 zr)pJoxoI+RWY&Uquodb=9NwRgqFp>q=jq4^QPfvFM!ChZ{S6OSQp&1oy{>EM^Fi5d`1i(XQN@Y$!%0*Ktz-njg zgf-{!vs=y82XT0&^Ig|Ub7SqLaW%ZSOtLR=S!E%_5DW5sdU`9K$n8Nenc%Yl^JinP zJMc@e(Ec~0+4f+J2_P>6cLwnrOJ8k#q;x`Fg{8X zGPHDk5fZ1}YgA*Y=X%a}MntaU#`Hn_E!vCt2?II*=;$?jr7dxP6cg;PN|LYGUr4@6 zAq)D^-BzmWSYzQ~6aL+*{rP;wbFa-Cx;A1TZ+T*8cfNAxD0r9d_VAp+dQoI+DK67O zwGzjR=oa#?H5z-jz~e?b4&D-&ZB#7{du1;SIb}KQH&W2hRNtk~Hj{l;w?*&Q6Snj% zd~Fe>f;&XEA9XsMD8iGnBs|-uIOqAGI@3Y@vD8Zf8gd??PExqqO^7(}UG`PYPkA~L zym5tS1^*>m^eOV+Y*!|{Xx>XOSdT?pDmJP8S4nDafPsRjhqY)2*{bh2r#60;`Zgk!l@f}q>WEeG@63z1axR|bktPjfePQp-GFHgIjJwHjoMzjx2 zg+FICivHme&voi2!vGten`(sDC}Z)sd!tt&U_Zzha6h1(t-9CzjZPXWHzg67LHe7+ z`m<=Hs86R?q@jR8w#d}mEbnT>v_9I}Y)>{I-a$5@`_CW2qU4~<*JH=b-SDK{%;e)o zdq$;Irf}E4UwR~EsMHwKT80{Ym@4k-M_OEZxb(tI3gh1pnJoS=f3vwGDD$Rj55JO2 zVQa-qY(yXHxWL?E2fjgg%%0Us3x5x&gC@J4qDTYNWAoj7V5j7n385PRPvK~EJwdgS zkTf_G8#)m5IX+Km01rdbo11$UJu`NF+i{D+-)WI#)AVjr_%s}&(IZM;;QOy?(O%rx z`&%U+&z&sX2WWqdlZZ0rd#?xx4|Q79uoVr8$)*7h9QJT{VMNtZ)~YE_p5DU>7R&jVDDuVtpRcA(E6r(R{$XM*(> zvQ%e_#=rX31($-RNnrXT$K=qv%$%}1l5*;fHuTYHaD-Dk_F-!rv4fwtv zZN=b2U6;Bs{F;5870uOJPUm?A9)1Q#Mbn!;rAcngjuT0U9<;=UOmD-zkmTV%yGkU2 zxfz!vC=?6JhXd`z07htLfps!oj1RBVhOI=!*N+>FSk|E{>F4ELR8A}qXt9zQ3J{f% z%*KqhL)^V*T69XxU~g3@<~)f*iVnbG+KIjnpPz{qRrB^+^5Q&O@UrYsz1e-l0v=9W z*pUEltmRz4f&TJ;rv?OUPr5RW%YJS!GLi(poQ}U5ESgK^7K;m>PmZL95DoNH4$`ZF z-xeA+e8kNGNt?X5A=?~wRcreFr~94zGW?)`1G)_diZ5^%3D7jT6A-Poxj`98124r=n7Pg26}=^ z&PB6ifJ3x?XPe)B`^@a_ZQsa~Qkz_+8wJy)GMBcl?Jt zO?48I`^Hr`uz2p>%uGYv&W= z3%>f$0{gqIE7w0FB7~6S>e^+($Br(eIug0jEh^oJ=?{Nwb-_= zNV%)#5M(09++Ffx5solU=HZ&{0?8GRrL&Jp!Jpg;2C ze^+_5QeIq>9?MMp`^`-5-8YwKyW5+E2E*lCLXoftoCl7wpXQdR?hP0d`e%ibJXWs^ zKb`yR%sGc&S(L~5iMFgs_Er{PCQ5YNqO31Fw%bM5HM5-+1{=(WsGE$B#X> zT#wNu+s2zQ+r~RF)OL)X2)kYT!E$iC99+8AviFYZ&4m@CIEP-+Nzas(RWz(zCO>MZgfXAyu_Cb);9paUR^ia{48%ZL zT^V@cAbC9|EYXpXml%aBo%_3?+pg>1Cm>5fd8w1>fsu3A!D9EKI+VFR)y}IDYkM}f z%KUf~4Pum+kIVHrS?rze1sy6b{_Kz65qN5w7ln2h6D`6yv+EnInMd=CLO(F8&Qc18 z`&baT?-%Jvv`qxOvMLUqBFnNIn3b?m>V7~_vYStD%onezX9rOcM85^HF$ZkU%-!dlZmDw+Gz&N(h>Nn^Ytb`FmW#vsms zGBMdnJS321Eb?Zc!D?+V$LhA`SNe9U`>%7F-#*;NY5)M|yN7K(%I$f)YB`;Jr#2`|^Tu5+ul$N=$14 zG%T~VzOvSzfdrWtbvq_1e+BFr``79>^{e&%^g#g~rLG5w-5Afzu{s;v+LoLRaO3?1 zPUHy<%r)eGgq9BCVqsQhSp6}0FIQu68afs;=arc+WwP)kfON6xLuD$u@V}lRHAB0! zDXY2H@8cqV4L;?(zU50n?;i?Nme+GUtncIJ%=eR+h3)&AL(+|KzIaA8Jjxh`IUDOC z;-C1AaD0lJ8~%zo#6u!oa^~8Z33eA2F}Ec{)0x&wbvn_k%Q0JH^NPi(H);)o(6(4JLszBen7hd#fEpbiwx%MXND(w0mNz%x`Pmq10;<)lwCEv~_ z_FkY#CQ={~#<_VO=zI~IXb1IeTZ<-H|KBf=MeOk#Prs19M-}W^hcAaXXd9L92=Oqi zv%mk@*N3cSYx+Jk!3pmL&+x1IC(ffy&7Gao9=~K+v6FFwhXEoThI!aO#GQ@rQgOXH z39+UTf&oE)N{FKPg1g|7b{*W_HIwx!N?9bIR^W&-;6t@vZ_(KEJKINLWKC8~KOsD_ zkDtv~o(NI1VzA{q%>3H7_TvXPzG}$1_rI-*{_e`z=vM{qOGo{=T@0r?*9Y!wpL18X z9x+qlX8C%NhImx{-P4;tGQHtD-BkEM6MVi_#?l{)zMgYV2m1h@J`qBc-M=W#Bm9ip zhIpBC-P4D)0Uf4Z4NET&tpRK9@5azPblhlEA0xGuvJ-E^Gok0P&Ky{rX&-rS8Rqrh z7CLnvksyltvm(wdca~MfPA(@TD$=_>Nt#cR9g09ZxGJo z!{Ynpqbh3qNVCy$^8X|1tD~ZNpl$~c5J6B8L~2ke0YSP4loDy_?(S{|RJyx|5>dLl zySp2Sp=$=18JOYm`@Z+q`}3}K?_GDTyY4;voPGA*#3($A)y9krS|8D@Jv)kw?S6S` z!p&$J`Rcq};v~MK3#M(~bo0xLo5YK$Dle^YKUGM4YV1<|>l(uPEsHC6kS{gK#LqKx zc`4BThw5`Q?q0-C{m?cdzvYm!5j8rhCFgfy{*dUF5{!qSfd9kp{KiOHgr7+4K=GN& z1 zO9Pz2$R^Q)IPO64y=&5;B1T8^8t&;TnbFnsAG92?BrTIlB$ocrqM3uO^z$}7c%CNR zB(0S^;(MViyuU|yB2NLS;FZ=n9_~ww@X-1(Bnd8OJHV;- zz^S|9i>@;|%8>jGtetKYxp}V4t9R9MQE8*T3LKkn+UMU)EQmcOk{KLK90R`5>yw1; zUI5sA1-$hMp&JXKEps6@fktx+@R<*JI_SBxaN-&(x%tQ9yHznUK5U>vF}L@_G97LX z+ebQ@%-0r`x$=$V8#7H6muV!XZBhPs^B*9z-vHm2-w0qG7P(1*-0T*$2o}~plApF1 z7C!#~{eyQUbXhs>w6lc*kVgJtK-T%322$>*lchbj?MU*4*_#@db>>q4c{LUH?(avd z=MIdUN_?h1+NV*cxG`gIx5k3j zXn9}E0PrdP_{W#wY$kxAKi033b9}n!OhGPptv7rk%R`1@ z$*-U@Yk@4ONG8Kc05F@N{ULcKrtB*|0M0%l!^y4a&8k1KO8WVxle0>IA*PMaUn @@ -35,6 +35,9 @@ ------------------------------------------------------------------------------------ **PaddleSpeech** 是基于飞桨 [PaddlePaddle](https://github.com/PaddlePaddle/Paddle) 的语音方向的开源模型库，用于语音和音频中的各种关键任务的开发，包含大量基于深度学习前沿和有影响力的模型，一些典型的应用示例如下： + +**PaddleSpeech** 荣获 [NAACL2022 Best Demo Award](https://2022.naacl.org/blog/best-demo-award/). + ##### 语音识别
From 1edf1205061494d2f87d07fdf0584ab61aa0a6a0 Mon Sep 17 00:00:00 2001 From: Hui Zhang Date: Tue, 12 Jul 2022 02:54:21 +0000 Subject: [PATCH 097/192] fix comment error --- paddlespeech/__init__.py | 2 ++ paddlespeech/server/engine/asr/online/ctc_endpoint.py | 4 ++-- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/paddlespeech/__init__.py b/paddlespeech/__init__.py index b781c4a8e..4b1c0ef3d 100644 --- a/paddlespeech/__init__.py +++ b/paddlespeech/__init__.py @@ -14,3 +14,5 @@ import _locale _locale._getdefaultlocale = (lambda *args: ['en_US', 'utf8']) + + diff --git a/paddlespeech/server/engine/asr/online/ctc_endpoint.py b/paddlespeech/server/engine/asr/online/ctc_endpoint.py index 56fcc1823..b87dbe805 100644 --- a/paddlespeech/server/engine/asr/online/ctc_endpoint.py +++ b/paddlespeech/server/engine/asr/online/ctc_endpoint.py @@ -39,10 +39,10 @@ class OnlineCTCEndpoingOpt: # rule1 times out after 5 seconds of silence, even if we decoded nothing. rule1: OnlineCTCEndpointRule = OnlineCTCEndpointRule(False, 5000, 0) - # rule4 times out after 1.0 seconds of silence after decoding something, + # rule2 times out after 1.0 seconds of silence after decoding something, # even if we did not reach a final-state at all. rule2: OnlineCTCEndpointRule = OnlineCTCEndpointRule(True, 1000, 0) - # rule5 times out after the utterance is 20 seconds long, regardless of + # rule3 times out after the utterance is 20 seconds long, regardless of # anything else. rule3: OnlineCTCEndpointRule = OnlineCTCEndpointRule(False, 0, 20000) From e129bc736b6e0bf4636868bbc30880823fcdc9fd Mon Sep 17 00:00:00 2001 From: TianYuan Date: Tue, 12 Jul 2022 06:26:58 +0000 Subject: [PATCH 098/192] fix am name, test=tts --- examples/vctk/tts3/local/synthesize.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/vctk/tts3/local/synthesize.sh b/examples/vctk/tts3/local/synthesize.sh index 9e03f9b8a..87145959f 100755 --- a/examples/vctk/tts3/local/synthesize.sh +++ b/examples/vctk/tts3/local/synthesize.sh @@ -31,7 +31,7 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then FLAGS_allocator_strategy=naive_best_fit \ FLAGS_fraction_of_gpu_memory_to_use=0.01 \ python3 ${BIN_DIR}/../synthesize.py \ - --am=fastspeech2_aishell3 \ + --am=fastspeech2_vctk \ --am_config=${config_path} \ --am_ckpt=${train_output_path}/checkpoints/${ckpt_name} \ --am_stat=dump/train/speech_stats.npy \ From caaa5cd50202a37a81133bd015d8c07a91456041 Mon Sep 17 00:00:00 2001 From: Hui Zhang Date: Tue, 12 Jul 2022 08:24:39 +0000 Subject: [PATCH 099/192] more cli for speech demos --- demos/custom_streaming_asr/setup_docker.sh | 0 demos/keyword_spotting/run.sh | 0 demos/speaker_verification/run.sh | 0 demos/speech_recognition/run.sh | 18 +++++++++++++++++- demos/speech_server/asr_client.sh | 0 demos/speech_server/cls_client.sh | 0 demos/speech_server/server.sh | 2 +- demos/speech_server/sid_client.sh | 10 ++++++++++ demos/speech_server/text_client.sh | 4 ++++ demos/speech_server/tts_client.sh | 0 .../{ => local}/punc_server.py | 0 .../{ => local}/streaming_asr_server.py | 0 demos/streaming_asr_server/run.sh | 0 demos/streaming_asr_server/server.sh | 7 +++---- demos/streaming_asr_server/test.sh | 2 +- demos/streaming_tts_server/start_server.sh | 3 --- demos/streaming_tts_server/test_client.sh | 9 --------- demos/text_to_speech/run.sh | 8 +++++++- paddlespeech/server/bin/paddlespeech_client.py | 1 + 19 files changed, 44 insertions(+), 20 deletions(-) mode change 100644 => 100755 demos/custom_streaming_asr/setup_docker.sh mode change 100644 => 100755 demos/keyword_spotting/run.sh mode change 100644 => 100755 demos/speaker_verification/run.sh mode change 100644 => 100755 demos/speech_recognition/run.sh mode change 100644 => 100755 demos/speech_server/asr_client.sh mode change 100644 => 100755 demos/speech_server/cls_client.sh mode change 100644 => 100755 demos/speech_server/server.sh create mode 100755 demos/speech_server/sid_client.sh create mode 100755 demos/speech_server/text_client.sh mode change 100644 => 100755 demos/speech_server/tts_client.sh rename demos/streaming_asr_server/{ => local}/punc_server.py (100%) rename demos/streaming_asr_server/{ => local}/streaming_asr_server.py (100%) mode change 100644 => 100755 demos/streaming_asr_server/run.sh delete mode 100644 demos/streaming_tts_server/start_server.sh delete mode 100644 demos/streaming_tts_server/test_client.sh diff --git a/demos/custom_streaming_asr/setup_docker.sh b/demos/custom_streaming_asr/setup_docker.sh old mode 100644 new mode 100755 diff --git a/demos/keyword_spotting/run.sh b/demos/keyword_spotting/run.sh old mode 100644 new mode 100755 diff --git a/demos/speaker_verification/run.sh b/demos/speaker_verification/run.sh old mode 100644 new mode 100755 diff --git a/demos/speech_recognition/run.sh b/demos/speech_recognition/run.sh old mode 100644 new mode 100755 index 19ce0ebb3..e48ff3e96 --- a/demos/speech_recognition/run.sh +++ b/demos/speech_recognition/run.sh @@ -1,6 +1,7 @@ #!/bin/bash -wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespeech.bj.bcebos.com/PaddleAudio/en.wav +wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav +wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/en.wav # asr paddlespeech asr --input ./zh.wav @@ -8,3 +9,18 @@ paddlespeech asr --input ./zh.wav # asr + punc paddlespeech asr --input ./zh.wav | paddlespeech text --task punc + + +# asr help +paddlespeech asr --help + + +# english asr +paddlespeech asr --lang en --model transformer_librispeech --input ./en.wav + +# model stats +paddlespeech stats --task asr + + +# paddlespeech help +paddlespeech --help diff --git a/demos/speech_server/asr_client.sh b/demos/speech_server/asr_client.sh old mode 100644 new mode 100755 diff --git a/demos/speech_server/cls_client.sh b/demos/speech_server/cls_client.sh old mode 100644 new mode 100755 diff --git a/demos/speech_server/server.sh b/demos/speech_server/server.sh old mode 100644 new mode 100755 index e5961286b..fd719ffc1 --- a/demos/speech_server/server.sh +++ b/demos/speech_server/server.sh @@ -1,3 +1,3 @@ #!/bin/bash -paddlespeech_server start --config_file ./conf/application.yaml +paddlespeech_server start --config_file ./conf/application.yaml &> server.log & diff --git a/demos/speech_server/sid_client.sh b/demos/speech_server/sid_client.sh new file mode 100755 index 000000000..99bab21ae --- /dev/null +++ b/demos/speech_server/sid_client.sh @@ -0,0 +1,10 @@ +#!/bin/bash + +wget -c https://paddlespeech.bj.bcebos.com/vector/audio/85236145389.wav +wget -c https://paddlespeech.bj.bcebos.com/vector/audio/123456789.wav + +# sid extract +paddlespeech_client vector --server_ip 127.0.0.1 --port 8090 --task spk --input ./85236145389.wav + +# sid score +paddlespeech_client vector --server_ip 127.0.0.1 --port 8090 --task score --enroll ./85236145389.wav --test ./123456789.wav diff --git a/demos/speech_server/text_client.sh b/demos/speech_server/text_client.sh new file mode 100755 index 000000000..098f159fb --- /dev/null +++ b/demos/speech_server/text_client.sh @@ -0,0 +1,4 @@ +#!/bin/bash + + +paddlespeech_client text --server_ip 127.0.0.1 --port 8090 --input 今天的天气真好啊你下午有空吗我想约你一起去吃饭 diff --git a/demos/speech_server/tts_client.sh b/demos/speech_server/tts_client.sh old mode 100644 new mode 100755 diff --git a/demos/streaming_asr_server/punc_server.py b/demos/streaming_asr_server/local/punc_server.py similarity index 100% rename from demos/streaming_asr_server/punc_server.py rename to demos/streaming_asr_server/local/punc_server.py diff --git a/demos/streaming_asr_server/streaming_asr_server.py b/demos/streaming_asr_server/local/streaming_asr_server.py similarity index 100% rename from demos/streaming_asr_server/streaming_asr_server.py rename to demos/streaming_asr_server/local/streaming_asr_server.py diff --git a/demos/streaming_asr_server/run.sh b/demos/streaming_asr_server/run.sh old mode 100644 new mode 100755 diff --git a/demos/streaming_asr_server/server.sh b/demos/streaming_asr_server/server.sh index f532546e7..961cb046a 100755 --- a/demos/streaming_asr_server/server.sh +++ b/demos/streaming_asr_server/server.sh @@ -1,9 +1,8 @@ -export CUDA_VISIBLE_DEVICE=0,1,2,3 - export CUDA_VISIBLE_DEVICE=0,1,2,3 +#export CUDA_VISIBLE_DEVICE=0,1,2,3 -# nohup python3 punc_server.py --config_file conf/punc_application.yaml > punc.log 2>&1 & +# nohup python3 local/punc_server.py --config_file conf/punc_application.yaml > punc.log 2>&1 & paddlespeech_server start --config_file conf/punc_application.yaml &> punc.log & -# nohup python3 streaming_asr_server.py --config_file conf/ws_conformer_wenetspeech_application.yaml > streaming_asr.log 2>&1 & +# nohup python3 local/streaming_asr_server.py --config_file conf/ws_conformer_wenetspeech_application.yaml > streaming_asr.log 2>&1 & paddlespeech_server start --config_file conf/ws_conformer_wenetspeech_application.yaml &> streaming_asr.log & diff --git a/demos/streaming_asr_server/test.sh b/demos/streaming_asr_server/test.sh index 67a5ec4c5..386c7f894 100755 --- a/demos/streaming_asr_server/test.sh +++ b/demos/streaming_asr_server/test.sh @@ -7,5 +7,5 @@ paddlespeech_client asr_online --server_ip 127.0.0.1 --port 8090 --input ./zh.wa # read the wav and call streaming and punc service # If `127.0.0.1` is not accessible, you need to use the actual service IP address. -paddlespeech_client asr_online --server_ip 127.0.0.1 --port 8290 --punc.server_ip 127.0.0.1 --punc.port 8190 --input ./zh.wav +paddlespeech_client asr_online --server_ip 127.0.0.1 --port 8090 --punc.server_ip 127.0.0.1 --punc.port 8190 --input ./zh.wav diff --git a/demos/streaming_tts_server/start_server.sh b/demos/streaming_tts_server/start_server.sh deleted file mode 100644 index 9c71f2fe2..000000000 --- a/demos/streaming_tts_server/start_server.sh +++ /dev/null @@ -1,3 +0,0 @@ -#!/bin/bash -# start server -paddlespeech_server start --config_file ./conf/tts_online_application.yaml \ No newline at end of file diff --git a/demos/streaming_tts_server/test_client.sh b/demos/streaming_tts_server/test_client.sh deleted file mode 100644 index bd88f20b1..000000000 --- a/demos/streaming_tts_server/test_client.sh +++ /dev/null @@ -1,9 +0,0 @@ -#!/bin/bash - -# http client test -# If `127.0.0.1` is not accessible, you need to use the actual service IP address. -paddlespeech_client tts_online --server_ip 127.0.0.1 --port 8092 --protocol http --input "您好，欢迎使用百度飞桨语音合成服务。" --output output.wav - -# websocket client test -# If `127.0.0.1` is not accessible, you need to use the actual service IP address. -# paddlespeech_client tts_online --server_ip 127.0.0.1 --port 8092 --protocol websocket --input "您好，欢迎使用百度飞桨语音合成服务。" --output output.wav diff --git a/demos/text_to_speech/run.sh b/demos/text_to_speech/run.sh index b1340241b..2b588be55 100755 --- a/demos/text_to_speech/run.sh +++ b/demos/text_to_speech/run.sh @@ -4,4 +4,10 @@ paddlespeech tts --input 今天的天气不错啊 # Batch process -echo -e "1 欢迎光临。\n2 谢谢惠顾。" | paddlespeech tts \ No newline at end of file +echo -e "1 欢迎光临。\n2 谢谢惠顾。" | paddlespeech tts + +# Text Frontend +paddlespeech tts --input 今天是2022/10/29,最低温度是-3℃. + + + diff --git a/paddlespeech/server/bin/paddlespeech_client.py b/paddlespeech/server/bin/paddlespeech_client.py index e8e57fff0..96368c0f3 100644 --- a/paddlespeech/server/bin/paddlespeech_client.py +++ b/paddlespeech/server/bin/paddlespeech_client.py @@ -718,6 +718,7 @@ class VectorClientExecutor(BaseExecutor): logger.info(f"the input audio: {input}") handler = VectorHttpHandler(server_ip=server_ip, port=port) res = handler.run(input, audio_format, sample_rate) + logger.info(f"The spk embedding is: {res}") return res elif task == "score": from paddlespeech.server.utils.audio_handler import VectorScoreHttpHandler From e0719c551ce7c95511ee9b7912323404c3b83ba5 Mon Sep 17 00:00:00 2001 From: lym0302 Date: Tue, 12 Jul 2022 09:04:08 +0000 Subject: [PATCH 100/192] update readme, test=doc --- demos/speech_server/README.md | 3 ++- demos/speech_server/README_cn.md | 3 ++- demos/streaming_asr_server/README.md | 3 ++- demos/streaming_asr_server/README_cn.md | 4 ++-- demos/streaming_tts_server/README.md | 3 ++- demos/streaming_tts_server/README_cn.md | 4 ++-- 6 files changed, 12 insertions(+), 8 deletions(-) diff --git a/demos/speech_server/README.md b/demos/speech_server/README.md index 14a88f078..34f927fa4 100644 --- a/demos/speech_server/README.md +++ b/demos/speech_server/README.md @@ -11,7 +11,8 @@ This demo is an implementation of starting the voice service and accessing the s see [installation](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install.md). It is recommended to use **paddlepaddle 2.2.2** or above. -You can choose one way from meduim and hard to install paddlespeech. +You can choose one way from easy, meduim and hard to install paddlespeech. +**If you install in simple mode, you need to prepare the yaml file by yourself, you can refer to the yaml file in the conf directory.** ### 2. Prepare config File The configuration file can be found in `conf/application.yaml` . diff --git a/demos/speech_server/README_cn.md b/demos/speech_server/README_cn.md index 29629b7e8..6d8870250 100644 --- a/demos/speech_server/README_cn.md +++ b/demos/speech_server/README_cn.md @@ -11,7 +11,8 @@ 请看 [安装文档](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install.md). 推荐使用 **paddlepaddle 2.2.2** 或以上版本。 -你可以从 medium，hard 两种方式中选择一种方式安装 PaddleSpeech。 +你可以从简单，中等，困难几种方式中选择一种方式安装 PaddleSpeech。 +**如果使用简单模式安装，需要自行准备 yaml 文件，可参考 conf 目录下的yaml 文件。** ### 2. 准备配置文件 diff --git a/demos/streaming_asr_server/README.md b/demos/streaming_asr_server/README.md index a770f58c3..773d4957c 100644 --- a/demos/streaming_asr_server/README.md +++ b/demos/streaming_asr_server/README.md @@ -12,7 +12,8 @@ Streaming ASR server only support `websocket` protocol, and doesn't support `htt see [installation](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install.md). It is recommended to use **paddlepaddle 2.2.1** or above. -You can choose one way from meduim and hard to install paddlespeech. +You can choose one way from easy, meduim and hard to install paddlespeech. +**If you install in simple mode, you need to prepare the yaml file by yourself, you can refer to the yaml file in the conf directory.** ### 2. Prepare config File The configuration file can be found in `conf/ws_application.yaml` 和 `conf/ws_conformer_wenetspeech_application.yaml`. diff --git a/demos/streaming_asr_server/README_cn.md b/demos/streaming_asr_server/README_cn.md index c771869e9..f9fd536ea 100644 --- a/demos/streaming_asr_server/README_cn.md +++ b/demos/streaming_asr_server/README_cn.md @@ -12,8 +12,8 @@ 安装 PaddleSpeech 的详细过程请看 [安装文档](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install.md)。 推荐使用 **paddlepaddle 2.2.1** 或以上版本。 -你可以从medium，hard 两种方式中选择一种方式安装 PaddleSpeech。 - +你可以从简单， 中等，困难 几种种方式中选择一种方式安装 PaddleSpeech。 +**如果使用简单模式安装，需要自行准备 yaml 文件，可参考 conf 目录下的 yaml 文件。** ### 2. 准备配置文件 diff --git a/demos/streaming_tts_server/README.md b/demos/streaming_tts_server/README.md index cbea6bf77..645bde86a 100644 --- a/demos/streaming_tts_server/README.md +++ b/demos/streaming_tts_server/README.md @@ -11,7 +11,8 @@ This demo is an implementation of starting the streaming speech synthesis servic see [installation](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install.md). It is recommended to use **paddlepaddle 2.2.2** or above. -You can choose one way from meduim and hard to install paddlespeech. +You can choose one way from easy, meduim and hard to install paddlespeech. +**If you install in simple mode, you need to prepare the yaml file by yourself, you can refer to the yaml file in the conf directory.** ### 2. Prepare config File diff --git a/demos/streaming_tts_server/README_cn.md b/demos/streaming_tts_server/README_cn.md index 3cd281709..c88e3196a 100644 --- a/demos/streaming_tts_server/README_cn.md +++ b/demos/streaming_tts_server/README_cn.md @@ -11,8 +11,8 @@ 请看 [安装文档](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install.md). 推荐使用 **paddlepaddle 2.2.2** 或以上版本。 -你可以从 medium，hard 两种方式中选择一种方式安装 PaddleSpeech。 - +你可以从简单，中等，困难几种方式中选择一种方式安装 PaddleSpeech。 +**如果使用简单模式安装，需要自行准备 yaml 文件，可参考 conf 目录下的 yaml 文件。** ### 2. 准备配置文件 配置文件可参见 `conf/tts_online_application.yaml` 。 From 6c297c57dc9f2e488d74b3bf4b0a52c2ad585b4f Mon Sep 17 00:00:00 2001 From: TianYuan Date: Tue, 12 Jul 2022 17:11:19 +0800 Subject: [PATCH 101/192] Update README_cn.md --- demos/speech_server/README_cn.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/demos/speech_server/README_cn.md b/demos/speech_server/README_cn.md index 6d8870250..bcbb2cbe2 100644 --- a/demos/speech_server/README_cn.md +++ b/demos/speech_server/README_cn.md @@ -3,7 +3,7 @@ # 语音服务 ## 介绍 -这个 demo 是一个启动离线语音服务和访问服务的实现。它可以通过使用`paddlespeech_server` 和 `paddlespeech_client`的单个命令或 python 的几行代码来实现。 +这个 demo 是一个启动离线语音服务和访问服务的实现。它可以通过使用`paddlespeech_server` 和 `paddlespeech_client` 的单个命令或 python 的几行代码来实现。 ## 使用方法 @@ -12,13 +12,13 @@ 推荐使用 **paddlepaddle 2.2.2** 或以上版本。 你可以从简单，中等，困难几种方式中选择一种方式安装 PaddleSpeech。 -**如果使用简单模式安装，需要自行准备 yaml 文件，可参考 conf 目录下的yaml 文件。** +**如果使用简单模式安装，需要自行准备 yaml 文件，可参考 conf 目录下的 yaml 文件。** ### 2. 准备配置文件 配置文件可参见 `conf/application.yaml` 。 其中，`engine_list`表示即将启动的服务将会包含的语音引擎，格式为 <语音任务>_<引擎类型>。 -目前服务集成的语音任务有： asr(语音识别)、tts(语音合成)、cls(音频分类)、vector(声纹识别)以及text(文本处理)。 +目前服务集成的语音任务有： asr(语音识别)、tts(语音合成)、cls(音频分类)、vector(声纹识别)以及 text(文本处理)。 目前引擎类型支持两种形式：python 及 inference (Paddle Inference) **注意：** 如果在容器里可正常启动服务，但客户端访问 ip 不可达，可尝试将配置文件中 `host` 地址换成本地 ip 地址。 From 57fcc4cdb5d4a78e41548e5f0bf943027ff86bd9 Mon Sep 17 00:00:00 2001 From: Hui Zhang Date: Tue, 12 Jul 2022 17:32:10 +0800 Subject: [PATCH 102/192] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 330da1a91..1f4c8e5dc 100644 --- a/README.md +++ b/README.md @@ -25,7 +25,7 @@ | Documents | Models List | AIStudio Courses - | NAACL2022 Paper + | NAACL2022 Best Demo Award Paper | Gitee
DKBH_;5tGtX4Xf6hlh2Cb!VqRG9shGLi4re1og4` zM4C)j1Q}!~s`WAX>N7mpRaMIZ#%WfM zo(>5@&ED6#p3bO|YA?_SeAbLV^SkmweuUx7;2id3^j%6+yzAJc+7_EYRuuTA>?u}j zlp?H#(#$yD=H4{2)$j?R>P{K3)oJam-%Xf!#}k8o$F;u)58E<=i&~N=S`#mtYjo$o zmVr-_RtMm3)}0oskS{LW%)b%unrGWA6oG2)1;{@A_;PDp6#2fa;niWjgSxY78}39e ztqAOgTYJgPd92q7;)|3t&RRM&gH zPUrF0I?5G=s(>#1u)OnX90t2lRB-M43+fySk#wsxmCnO==0DgMaQ5@5#~t3rd0$>~ zHe2OsGiMUJ>(s1yr1s`hllvDIxysFGU59WCoPADV$gh%lAVy~v(3Zl%9t=ohcdL!F%Y|8>$)^TPfu z>w15<;ZDhcPe_Asq(shcMfMx~iZs&1o6OdtoJew~@RzTu=lA9o=JY`5 zmp$;RCEgT{v^Ej&Ss%hT-ez95$>zrr&&hl_wh~{+qx}*hI^>OQD;>^E45uZeM_rGwF+*rhsA&IV^5Bo!wnItvg4G4`^#U#8>beK zfANnD1z)LAIy&X4Jr}2qk-<>3H+PPZ1L-LgPrt9t#9ZW$BYBP|x)~Q%DIwI|g-_^) z<6#p*Q;fqQP};}YZd8}xeOW7LUgtgH)d(N9(Q1fsS3b)6dppGB5rTd-AlL>IJM&e< ztoEFs$_eqXHQ)Bn_)&eA(IOhwxp4#SVucv6BXz(-pShhW(ycs?b2H61g7|1Hl`rY3 z?v-DxvA7(|mTL>smbbN2(grjNBn;`@iJt6~I}KJh@|lZ`!hT8q2c!>)0^KvCU~4`_ zo$Vz9-6>_G>QV5wE-L|hJf>J~O4tNkS!cu%=5 zi<_RZ!3ZI;IfW>B!b*mDIN?|7uXn0j4A9aaU~lBc~Um5$xVJ3SlZXtXid z1tj3Q;UYc=6~10$CM?-VWs~Q2P5*l1e&uT}ZX|)FT6CJLqRCDY!Gs+~CR}y|1*zng zNWg_uErT|SR|1M^J@>uaRW(KC{z^Q^$%_lLIfv=9vvLcodTs`Nj&_&BSnvYp4Y7a| zQ&k|E0guDtlBtDM9C5ja#eyN5<2^%yK!%bGX}=Uz$^xJ3$89ZQx==z<5Axp$)ma%% z?y{q_@6qp}iV!OMdGXJ)ve5~c=mxk19Jf|Aoh4di`67v}~neE8C3aAiJ?CA1Bd7IE{p;33le)m&kYtNahh?AvI&rca$F2Vb7=D_5~#e=*Un zx5WJYDn&D08wkqO$Es-Ae%h;ZAo@pxRxHag>sH**?ZR$aJZhH7@Qv?Bn-hSOS3%T} z6#U@u;_LlZehsS$VLyJ)AGovIZNxvGV#9&fS5}`m%rNxSJKW{fKyiNr$pB^F(dRS) z&hi~Pf7zq4@hrHcYwT7T|C2{PiDoKBeJSlSkzWQx;x1Zto7nH%G$i6e zNrBfs`p4w&-KcPs z;~Y<B*2;i=MHte0K+Ecj67tgKdg?&I zjjLJpjfbKsoWsZp-1%&(o~eMhw`ko+trZsi^@|6@4EB*yymX)7J2zuf(P_u&FPTod#ckmW#cuV(y<;w&57kvT=Y8y5(LbwOd6w-* zeAYJ!MGE~jWLaO|#ER>bXujnSD9G_Uc~v13U70E@H>|{HaNg+U=APe^mEY zu(Pr+Z@)q6jSE0Bg-rZ|$KBRRKhXETS?;?HNG??;i!0$i-mf$rf*ZA#kk}a4#a@A! z8r*W?3yWey4?(XJ(bdt=SZa-#q8Ae+)%&WMg)pwm%L^#!)$5Um8cSbQ^44wh?%A^@ zVZ<~)nk zM5DoEGuG$llKov^bk4D;Bu2OKA>K~5gB9&2D4;+KA>M$EjxYhQy<)#^yjGXKdw9M7 z3Vilcgh_mB4~TSM%X;seZFS>z^0eLbJY5m_9b3@F@T6PI98HbSo6$l=SF7Rtd@~|x zOKAp+pQ?i`XJ8SwoHl;PvPFU~%NI*FQ8cb}sor1cmwkG3h2*rDHuOc(me*zOh#J?h zRd`d!IAxLa3Hqz}jqoLcE;&+U?y8+c#a?nsO!(Vj_Ov~mFnHuNC!qwcrq=+9>FeVx*sOTGCM1vn_8TK33vnq3&EL(^I;ht`(V@qz58~;m_ zjRUwBE#%Kc#-C8>xLManmHEW7q9SBKkP|P$Tr+A!$0P~NO`B`s3f1T)Rf?~ZF|Ig- zv*$Uoz#IMaPPHB%YOKW4IUTY^#w-_5B!dJDFRGY}bidY(Ds+ru9N7HUm+_xrRu(6Vd?lwpxB>f^!rn{C+Cq09 zf<%VxJ=Mkz|AxPn5h<>=GG?ImsVsGkfUZAP7yXT#Oc}jn%~j6tN6pUcBAbP5Q@lPfq!OtG=QX5BvTt{V^uSz z1@(7q+K;mDuiKa$AUBdLoh&&gZ-H!F)r$h`_eG@1K>T+m+J0P<f7_c`erm<(B7lp_JF{{cvQ*P`{&qAkSwRri&70a8?LTOFYZ>oO=)eb-b<698rDr{ zHf4XeUAB_-gor9c>eaKV>guS>li~i^oe=bsg6h6$jU2bf~(HUOuI< zaieLIJ4V4zK?mPVKE?aBQTM-6F(NqNui71GPHgY(u0DM|3R(ex`?{ED*%AOx!ZO!DLq3!p|$j>R}Lu?+b;Zv}w9 z#hPW($-^`3n%mnY&VL|>o{7Vvm6e~VU%nPl*Yp9hltu?;zvSkl2;tLz?P1qaLm%C_ z0}wY?Xf)V(=lLGDn0~JL=3-S4@+m*GmA~|Hwp&6NDnrCe$rtWb{KS=LC!E5YpZGrH zOnL3mCA*FAVPvx<4Vzqt5}#;|E8}jEYJE!R(GO8OMB=l#bCG#0f4)u1^r26r%_-P~ zqHTWSD6M(we8X@at^8%6^S9g$hoSs}5}9p5AOyy>ryuznNX-7LH2*>{I`e%_C@oyX z__tM&)N9{V)TZTZ8_SX46{vRNkotVf*88sG2E$k^IgigH7qjU3F8Xv#vI=Fu5G!5{+ zN@8NkLhb(bGJE`~b;YyX`HUk&>-IuQ16!YXoR#E^Xk)~$c98W_z@z;c zeBp>cyM3e&2LJCC{SUQfs0#c>3iv$|C!8@lJfOdb8|Jyxj@}w2CI6{TLL8i<-_&0A z*&}Cx#=xr|f^DGI({YdJs-Ko;d~qBo=A56fpF+uzXq6+LZ`(lv$-sF*q988iB2Wb2Ff@ViX z#!wSN=AX1aHVChJEzCQOJn?_7_rj57LMa9FVY!BB)&I;$%Q=S+pzb(>b5I>!@EX0W zfVx?Y!YCB3+KGw+`2-s?VlfjND+cvdOqY@EHjCwd9uW=c$c0C7RDpLQZTVj6LrzI! z>nZtF2F1daI=N1Ki^0E-fFKt}^^bgvuKN@WywlVu&RzIMy7XOg9` z9g=uftkXIeGOV}wabH*$$@_}O_IildU-5XnzQNo z!+sAo$fNAMrI1PoZK>}bRtXlE7+FUb{sl-q_1(ch6ioLjoeM;^d|!rsV?dhSiHZ16 zI89<|y8UfKy7|HN{g-dRE^x$?G`Svv`$R9y`V6}Lr!5tF+B{%JZR(X5X*MGF-hP;F z%_OQY2MTQNZ0+7o=te@7bVE%KFAQNE|}{ZdYLT|@ugy3^9r%~s&CNx|nwq@{lxOIH|a})@6?n71T!M#sPlPw7T^wH&}dn{I<6=&7lWJvzi3;JhkZuLwPGrLDyGSil9gSumqPylW9 zKvRieYUs@FR%?YZyBm|Z0Q81RF$IjW8J+6&@*PSYN93_6FFg z%9Tt_)01ChSI|!U-`Sg2W0<3!sVI%&+s7m#6j-@O3%30;Z*`aF417I)CdQocOi}y3y=v4g0@Dom&?3aYHSd_gdRcnPF1O({#Xl<~dlW2|4-cKG<1; zi^mJ9uh&(6ZJ0lx<~SkBvh}{m{U;J8Y@_irZ`36|pQ~ID(3w+|G~l&VNd~$5G=XJU zosh3 z`KiOdsiT&6-uBqx*y0xdZ~}Lk{EUcxz7lz@?HNxbvtGpSGr3tiF%3@BZs0jL>$&a6 zHz@6RPk0L(LaCQuuDdjSl(tnTy&VI(m7oz~uLr%^t0dd#i(xAiat zc*NwY_|5V^IJAUM>`z*GX{`N}H_(Rt>Fj>s()AVg`VMT zx{&;Td%Yo>$jzSn2Wy$@)9cyEwT2dfX!?SZ7zbjBBQU9S=;;E^$f)6v3}drP00t&+ zXo54`>TsF(;#gh-{m2(=y}XDoygviYfh23P0_&l(&M*!h<{@mWJUumyjrQhh481;S zyNt+&8yk;$Re*B){?H}e2iEJ|%Aoenf6O!zRA^b9&}Y*1tMqZymn_;x1b`=L6?+jZ^L=M_qDZ|R0x3p~@=ia}CM^;RW{ z;-tVe=gFMtzxnohK>I~O)9MbpCEu0c2+qL>fale zq7)htSGk<=Se>p1sEVGyD358!~I-dbbo)rQoZg zEq3_%8}U_qjT;Lgpm73LW4(+#nfu$PJ|E(q`(Q#P^{ZBhFxTLn!PHWtTn~MCF&c3z zjSRB>?c z)};Lda^;6F8nJm-ew0zXK6gg)?EV;e!vSn>3~q3XAWCxU?l-(h9(#|F^F4>3AlOMz ztp9uwH&d4X$nd||!$(hvLJum3_;}Q8p#=wJ-Md$we}AEg{93G$^OgGef(J8Pg1-)A zZ-$}lL<2xBCK3AFse$&^;x}#aCbNxx-}fP8>*x9YA5K?5?v^k5ld+}+V|#!B#eS4uhb9EPKeIXkqrH*yhk$K8<>@1zu&Q_k6cCT>|hir`I1GG5Db9yf|QD;&859Mye z+>MRTm9Jzng?&C!mNNfOVRJxcw%r;!g4=$(+Hh*0afyq)m~-(HS>NdewLG<AAZ~i#e~5=N2(uHTG6)emjPm zizaD(lm}X7#!nefZmE17Iee=z1M4oid)G9^E1Oz~&4-DDGT-@<_;((=1Ce=IrhF!P z;rp`Xw7J;K({*z8J4Zg=qJ^o7fOB`bo-E9GinDr7O?lXWr=aB z0hf_2B1g`Euz!pp`cqQby$w3eD#Pynu3v14gSycW-00p{@6>hk4cU#yHZ0(^f5oxB z5NHL6@3^W7E!}WNil_q*Mb6-&@-kxdG*?j4i?)RSRwKszP*DLvVq%ve0*1&ILd_?u zop)jmm;DM9bqm<9c}H&MIP_i;3mer-A>j+B1UI6;W@hv!1v|2NNK%nCD4uj)g|D|C zpy2f){mOom#9=;+Y`P<>30rI7Np+RbA5dcbCxJ7Q4M`;THsW#AMce2}o3D}=8hG}K z9l0irlfJvHFo2MNEH$@Kx3ZD&!^GmE#8zH|G2Y19D^Ep<_>PTr|E*b5s4UbnIA}?K zOXgJt;VZ)#(0L{E#1Lp?0bGr&{d&_Zw$4x8=#>)m^!{qanK&sq@(71A*?(OzjW0eH z3P-@IKTd31R`+40ud)JA(DwG_0>#CmwrZJfL|5a{>4_!BR9yij_$p|q+VVI!(5k$dC{%@id7mF+@^ZLNOF0`^elvC;K^g( z?&q#O7{c38$`wuUpK9FZvL?NN3iW&EO%o7=g2)gND~FE>U$uuw~Cdauz->qBqEV$#$wVxM|X>KPcWCaA?onr_dj18*qx|IV*8J})r4oh z!GN^NPEg|RJlrI~#Tazxy0*w~ZNU1B!u1Q(unGvx+I3+81CjCV9D7RnA1|%A+m;hy zUbR#>#ay}bhuQr%cc!?%HX|$|EXdL!AMIbadn4maT&b65UJje0+f52Py&5D(Qq2}d zohKh_9Y2IIc7I3Ka!hq$^5;EE3FJY;oePgkH7Cb-j_usNXDM{#fFqum-)Gq!qxjmX zT(5qKgC0{o_aLaufBx(>_9y$$0kiOv{>W6^f%5*Ce(sQyj6e6QQa=A07Y_QA&vm=zBR(H1$xh0J#@; zV@T-TScv@^n~*@>`OOKUt|#Ck%oV2_={8(FU&O_z=Woxu>a3aM3kg6pn>ot}?1g=$ zh*Q^Hj;_;PSg;eA!sp=71;U4V#{A%^cT^s@G%VM=4khHCS60nITU zV@looMg#yg`J*fbzXS>7JBj0`lO&X;<*h;hX75WSbk@I^vh9pZ?2^2QE_XN$juNMk zDa0Jzb}0vEive1<^00N1YBr4&GtToyX7gYX=K6;+>J<9H4W$B`4zH=+DHEDG{Yb>X z*~z`&2fg+8!>GQ}08(zM(}d6c56jH>ILeJuo0V1Yo>IH2WC$9UQAEAkH2V`%W^(5D zK-&edZtR@wim*3t5vIxa)BeV`Jl4Bc`_@U^g2xo=)Y5$VZz>m9f?ZtbX}Pq|Wxl>G z0lQJAU)x7VI3)m$pJMTWEr8{G0nB&{0IG9?>(%2tX$FX0Q#e(8f3qXDKK5JsW%orkZ+kxLXB!XE+q=CZpmQc%x*vy_22Etmxmn#wtCd@>&;>_j7AtrH@4Q5R87t;6*` zpYwNAg&>pZOg@Xjee+Xu)%`w&s9z)rU*jq z>_?l^NYs~yHHCCvH)-d(X=CvUeMxn zolgkVc$bd$pQEegSJn#rli4#Jy<;pMVPjVOw5k``DMN87*l_|)ux85xnL-DZh&(>_ zb8VQcUO`W5FdqRWDC}{YZP&WsF)`&XbHJqN>{XVT51yFK)z_WH;DEm${orvoJEJ1e zNEV>b^qG&)f>?Lft4i8H1L_OuDVgam`~wE`BiMB5UARn3)J0Ok6ZwH`HAj7Lxa00u zZ#DzjMY#M`*yiw;*g0wB47)VL=R;EDZ-)R`Gnxzi_Z^#wL7=)A zo@Y#K8cn^fAhIjysvgmXJdo$+nmx{0Tx!WH5JUmX3iI$!Cefd#=<{>3Eyo`uK$RL+ zp(I8Bh&W)q>>n+a2)N!&Px>hxem?a|*egEwS!>=eg{3&msF0>9MOtc2f7AmA&+4jljJP5o~cY`UeR;X$t5TXL3jqM3G^hq?_Efwo)+H%Yi0 zjIuWswvYHmN$C*pDs(ND0?rLnxfLoaqK;Wf>-hQh?k7fW_>YVvQTQ~<<@29*-)*(} zdo9sIN=cLic8s4Zf*lg26)d)QPF1Fd1h~KY^*`V{`71(h0@MQ~^ZtJ*8A+C%(3&2H zp$T%p6PPbaiZou4+k)>k@m~wK-;UI6HB`GDlz(AA z!;Ii`LtriDxK09omnAn^VC9z+yPKfT2M1H#Z>{CPu<1Sv?SyI~ziagEhYAGK&l*Uh zuh(xjL&Z7t&U9$cgqhSZ^)MuxT42lIOV{l-$?L~pOqM@e{{py~akbvW_R(rap_J%& zb;le3_SW#w2@&UZ?be@xk?e-R0H38EX+p3K;Xiua?%4@(d>uq}oat5w#K`>@bAXiPuHCua0*P1|_<+9x9zAirkMUm?wmIrAd&M9y)~~FbiyTTo^gi9fqj* zr$}GHyXA$2Fao_hJ=K7g_tdOy~sau%&Sa~nzm0U?y8aTk72x8b44D+7M7>OW*-2j82? z$7gM}+=j2NUllW8v4R^{9tB{kJ5M~4O<$a89|9qur`r=!l;8m8Lg3qJR!LDScyv<8 z&A<@LuG~FcjF_RuZL2zPHc#f{x6<}5EOu*c&po&g`_<(qyiR@;%|_?d%gniu@!RgN zE0w@WAG(w?$2O3nI%WUY%lf>jpZ5p1%(2(qTDx%6edZxJ@-PQJPk?3ZebKekT|w4K z^AR}DD0ZKH+v;+8U}+J$&}yZ!x6~T|DIt+T1iot)@kh2&Zgfa(cLn&~JOKz%gKmJ7 zu-`*d3#NHQaUV{ZQbnlCo4sqIwRs7L?6@pe?}wr~a*Xe?EkYUQQ!!oZDXikR6N*^p zI?|MZS%tUP!8mRsk2T7wj6@An`mEKp@z3EUVr(68yM%5X!1MkZ@-z`kkmed*cQGD?)arX2(abruV2qK~$=k}Oo#r%KKevVE9I;#? z-_sHxrPh>gdCMj7Hw||5h%w_mr>Zxs<;BC4zo`1o)A~T6Ndwe#)&Qw%X(!%5(IfU? z*a;J`UQ!hy(FC`4=954UDxZJ`u+4gX_*d2i;P&SJsZCnz8BFF**{#KkDW(-29;(6L z#8;Z#=bV=2Ot&!j!`=!@1JvpSp+HKpN2S|E*rPy%Whdq*j`R!D%w-96f8nvWnK3s@ zAKf=Msg813&!*JRvA;Xa)Extum&*(x1pYcY5O1FcLq)${`m9uS+1l;_4a3`lHY~3$ zObSLynVC0wTg+U~XU?h-InP<53*ugeV_^r<`l`uLP=q;VPVL&Sqx}NxL-Rxv(qCr$ zL?a*hAC)8nZ}G{3!Yctne7&n-Pm{7pBl2W4kf=R^I}-qn8+Sd8kqIDe5({C}8m9!7 zE117`_u*OFI^3ke{xJLmQf?7jXl|{!TUjo6WQ9{Gb#AGbEI!bieJE6`hj+uSqLQ2A z(lm=D-d3Sbjg{L^Oa5i5d~Cch=<)QJs6=Nz&f{~lCyK~ed-7<_$31F%XRpKy2eJPg zswH13)v#zi=6QM6d^10{Zy65a{mJ%Mt%NyC1mCYzx4sNm&AGIw{8WO2oDER&07M5{9sSKO}%l~4^^vLg+ zyLZ!Y!{2p3ZsK%8h$ym7ZfU_Lf(eTyG$S1%}W;~@7!xy3I%C_YSL zVR2c+VF93+KU;jcz_%}QP>U3yB*2$OrDlF7$JEK{bHY87cvqPWBGKX}HMOB@6+W1sSJc8#FF==UrGu59@u8*_J( zXO!I-J&@6HSe{Coirv9mG>xxCOr+82w;9s_7RoyY&I~~>` zF#T)uTXK=vg@XLCS--L!nbesm zoj#~jkWw_e6^D#^Q+7MgRdSGSXh@LkZ{+FCjF?vDg{!4?aD~o7i2-E@&@ZUP_{hpj z8Q(Qt_~6#34X!u5GjrD#Rv98E@jL#D9wYbJW?C;D6FGFpjFb+I8iAgYUN2yc*f;AO zWp+$-KKO*zdI&DGXE#&?_(mzVmPZFZ@KNxH{o2a{DE(#ddD zKX*`xe%RJJmd|_Z7FTaRXh>>X3F6GB4}%wh2=AoT9A2JQqY*Jbuk4ciI5h4po1!_S;{pe)hxn=DtOk=t7pNTYfds?ESvd`0B_Hk6cy4odCbx0TRV0M8``X z8HpCtHkBy-znIGBg3aX9!X!MY;X^+uWISn^{#sLoJ2GNk&HZe@X>|!#I0t9cI)gzf z_ww2XKkjwi8}ANwjMDCgpdYG_`3(JG$&{q*E`Th^b}8fqJE=>~@zPb-A>lsBva=SE zklMn(dKb2@{IcY>{Kp?zBg+0MU5Q>9b9SeF0vlx#WelchgZy+tLhqSrEo{Y9yjz9i zS;a+B4ocuGw%1~Y3mP*}i09UD^Hh_zzy0yZf>fgO-p_SIez}eD7E)s1V-7Laan^NM zQ;T`u=O>2$_7lV~3)oMG@YRrF*bTKVY|pe2ZmgWG!5-y*Wx(s0%f9)JxPhKbkDsu6 z|KvK}ZlxrHd*|PVTT5oE9OZhz05&5W^A-`5xi(&BWN4({;l3dY1f3P^(McG+(Hh2@ zx9kcyZ0dI_KBc~zI43*;4*nU`&eQ$UEo_RBu^5=#}B0{^jQ+FkB?qpO!j1uY!`OC~tx-d-&2Smsjrl#k4@yrzMc_4!6AW_^(Dkj#T zvUj_|Jcgu z@OGpWRnc?MHM;w79QUWOg&tGFb#)(eXy`h0TYdhcSgb**vEZzb7B1?j0_M=z>SkN>6PGeP}Yicj<$4#7{>+G1EtYhvMUyJGca#ldq7@Fu|WGdu%f}WpZqmN*>5wzq#3xIlc>@&FvgHX0O(OuvmC z9C7j9IdJwyxRNwnR*5VWoH&3Q;g?82M2``)d_e9?a4$Ca{)EZUu- z&5h-=Vf%>scPr4|=Nh7=Xo|9_GtrzDYc&8&;xmA067AEmAJ-bXextW0{>8yFh1Ad^4 zYOsikWTqt^$kI{pcf>3(n(A+dBQejr`$3Xzk`MB+036FQN8#HFzbg-~3d(Y0#l*L`F3S_Rqu}&-t+4 z;eNLPh{p%L_4p9?W)Aw*t-82~$-pkYf{|<`8Aa_#xYJG14Y5?Gx!>2oQV%_ymQb*G zl7%BafD4F5`#xHxXp|{Ej9YD3zXuMhW{0XIj!B}k*uWlRzBUv`T1M_WWm6wMo(e3i zk*w!4A?qSdz7QvSTc$tc@-mSfe|vXY8}Qki=_J#IM$ZNy_~cEyuw_!HoL}`jrThU@ zUqJKQfT#A&LRiD(ImzlmC|rOj$ZbMU{x7bbDssLT-UC)uu*nd0H80JZFxA_X@7E`X z4>@{zBsU;5N`Vo<25=hkE?ZuVG6zZnOPl|mF^afM*=Hx&v)K3E`KxcK!I#E3iK$ax z_yajKqI6WSQN7pXzoyi)_!wGdO*6f3G6BU0+NReOJT5>N)C#GZleEKz<^H7!93T%RF^}=m;oxh7Wt^xzgo>Z z#!Xya4iTa?N#MyywRXHnEaWSsT`GJnzHs&WV$u zWaU=ut@{2OP8Ve7zmDRQ_01ejU%5}+KgaJ^n#Vn79WTfrEm_RO1$?Lj6g!s~lKbD1 zFZn%P>V>@dAS3sfwW5?7v1v4Jr?Xe-H@e-dJ;Ry2^^k;%77e|XubYhiCnrh zJfI2E$&htHxzoIIvKzdH{(d0Hfu!hKCy_%V-(;lbI&k7@a8u*V$3Y*fcqJe)6ym{q@!^@3}v(A3C?ddJlA&QHYn&Ych`< z`eavwFh7f#PS&cJnbT^FJ;-IjZ4Egm&?kKocqFYqgT&S5N{?!7UA4FrG?;%4;UJ9H zTC?8Umkh|0n7E(9`oxOy0`V;};Sh=pbXgunB^e60#{8vi>KOMd>g*xC5DQkPWoT5x zcic!QENm6g3ARsoi?=Lkh@4!Qtf&;P|0LP|At8G(iv;jenUSuOWPj79di-eWK?BIG zm~h1$RNxV^{qel*-mig->~_2HS%jfEJt~E0bPQ!u&JL0c4D>b6+u`2OTO&V^e|c%Y zH3x2Frlu)i=B^Nuv?Bjw*W2_C*Iy80ok1LW?F~Y}$A%)Uai?diM!} z%`irbWkf)TqVS}CyPYv`NWEH3XKyh0a?N`Ytt9UvkMQPV^a3GHbJxUkGQ_8$D?d5Y z0aLMKKW~4Pj(zUoaJ#x90cWDWjl5@Lt;3*mM!04PggVV#H}CzVGiltY!xOS|q6qZX z{IE>F8yE-mx3jB?rXM?pyr_5~dzdck_;RNk&hV?p_&wq^Qv*rvo2Ls_I6VKJ7~}Xb zAic{(?(;t${C%_wTi5%X^MQva+#IV@gW5D0M+d3zDtl*#*tI;--`)}yD`|i8H>d9c z@%|IT8QG@;%$xWl4*hajl;vQ;qN~}|i<@huwZA_5_-1pLu?GYtAr@WF&v^loHJi+W z&HzXCp!V->(w?VHu$gUNfus9f*sCWmxrB{&kKP$-y+)S!MNJ6a3uyO<2qPcw78vTh zuT16Rjg$GU*S-E*V86aN!VKr#H2$}6deFss;BFbZ)+(h(XA5a)V7*}dYA)0bKz+|w zrG@G{V?Zpp#(Z@f8I%{p^9-FPt+^ss>i^3lF_s(`xITlcZ&{uQUoZp8&?IPZ0p1)=q ztS%|F@VP}?lAMw>R8ZGqkP4KsH)P_6d%G(SdwM9N;}HStw|tN2@ON)ihVTiC0a;)M z+XCc`x$(-Vvf)rGbPin0%r-^6LmXs)(brs`p2#W#ZH4VTF)$Zm7+8cmpyo1W=EAX~ zPT5C(Og7wu+P0*ymsLIh5PwBJBTB?pCi-`P`%eyiX{oC>e!Md^t^x6xW(Ay;5LcqW z3c#|vQx7&AX*t_-+?!89Dfs^fu|Q70hjmSm{!67C<#5zNbHdrri@u)!Yhqp~fGqhfdT1y8E-8F#i0P z#-Gd8cW2!`yZ3~*=_A9ebD6+T0NhyGd|;h_P#dL9oOhhPf7oj`AsyssuVv13HAS8LH(h5v8ix^VF|nr}66@6wpDK-NCdLqLa{^>NysiBA7ea{leL&C_SI zcAaqxpswd0$HRG_euud+>rR->ds}yEtZ-|X(3ek_4SN|LuPp4(cQqd#*o^@2AaTs2 z0Iy~D82sH#_|8wy+rv}wkt=gDmy6ZO4#s$rj!$0ZuHZ92=*xVRMaMYI{9JTDlFsD- z4e%Au;>uHQ3BsnmM}S z*|V|C*b$Z;5ceXWxL?v>{0f)8^C1W-J=Gwh}9V?Y9|gR@qa%dBzc^O}w@^yDpkvIaLWZb1PYBKL}4 zaV@8QK@1qq^b-Y1>`^`)58Jf}>ip**`QH1-&D!eFa51l`&%hk5Q=ilkc3S|QkyP~6 z^U3-~T#ROb4+Hqq$tO;wM4ix*or7<4o`C|$ADvzEkgkHiFSdz6g`;((7`@$g1#tDb z&*~0)?-j>ZQnL>@rVOxXRXa<{ly4FmEb>H3mD9*E=KA&njpIZ9j z_l70_PymYkx&nUo@oK)l^CpHoFxKcpn-ChKE~QCF*%mM2S|;!#Kc z(ZUCb5#~gxkYLqKKNYa-!Gwb3Rn3#0%sEMbpTktCsVa(EumEA>n=eiPr?o;dKLEY~ zI28cYxZy0O-|X{E$Da_d5q<0rYtSm9Z9wqxFs_^nLtuFcC43DdVp76N#+V zB13iaZ^f5Yil7Ex;0ypda7yUv8HfNiQ!bT)0_YD{$2S9jRs>kB44fe#XYLF{z|rxc zTUFQVluv#zSN@V;$G}rfe*pT~d5r3m>ayC5l#@P%e$w=`fPNlXyMR}gt@hnTH|oLF z>h@00rJ(#NcG8~_SxFtiT+EOx{JlVWq9C#Sl!ceX3Ro0G?ZDDxbk5m+AnWixIuJ#9>&3mpCRuhw?qB>dB zruXVFw&|COme&hXYCbUk#LzqEnAq7V9m6F1vG7dA5~Z*>Qa5+8JiFRi<4kNrQ7?Sm zY5Hc$M!~Z5yY*rfu08)E*ClJcvrkh-=zipjM$FvsJ>Q`$tFQ<{ZEDW5c405+X*?2xt6^%sdR#XMC54VAgiQNJQuX&lJIT>(FNovjf` zn9F#-Gd8+epy{h*)q0g8Y7ZM=vi^-%`jq`_RboJ8?GeVi_qBXte(I;2SOBHZ>lrvv zR(20j9@Gpn>C<9A;NWj3x4EyB06>^q}r3H65@`uQ6Dl$3?xyX zWM14VTN67e-~7qjGd1yKu9}anFpVRcP<6&;>aWhq8kiJ^u}R;;_)D=rDu;7zI>WJ$ zH2<=2+Gt#~DSZu^TGL#wLP~jkKCRxDrAwcGDg*W@+YqFKL8~A|5IObBTOSs<>P#9?dJiYW%)RL{@%mxAGK_j0HEr$`AyV+=`;5VryVtq;>{rw4&b+JA64fcWNog~ta-8d>5lgw z`I5eRu`g6p{lem{<_CsACpNDczhkG$7p)32!)#Fxmxssm@J#s5uQK`g`>Fb$&HzBa z$yJ-yUli-H>96xqKKjch0b{WZAoBSF*ZI?q?-oD-fWF@VpsnRll&{z0ivphkOr{B&W7Y|Pi$fn^#&m79}1A-mRsS+k7Z%)ikmlub6>3ur99}<9LV*H8u@HYzpo#>cwy~czK1#m%6&;vi)aPn@$kU|s58bdB!{S%{jfW8BYPUC(%7pifP(o6(am zuK`4xk1&C79@y*reWpM$&kEpo^OD2wM@p#?bCj%5wK-&)VB84iW=v zvFCho1*%%;jyZUafd+Z`&Kw}UFhS;_^ZOWqzZ^*DuX$%}L_S5Q6R^(X5D$y1PdsKmKPTi4NUqEVNPE9NJV5{b9~r?f8^UsYTeE)H0AAU`u-5p7 z7w?yS)bM+@tn&esz^&C7%;D5T-Onz6INY{!yIC&r{)g_LuZ&&3A5Qe|8tI=~p!9O! z8>PDc>Wuzj3Duvs<9Ex7kXuJ3zB{Xxh+$0RH|+uUrSIP#Ry{Ci8?oqckv?EO6Yw%u z^M3Jr_o+@vAEf%#rW2N1@t*@0_1hKfv>VC>WXpBtua(6+EbU#d581x*BgU*o2Tg%xriZ1;2 zcM(+Pd}l7?{lbra`*59Hm=oM7&_DI__*tK8m*4Qm5sdYJKYgdgW2j<1eV%}vj2~YY zz!QKfb2j?;c$EF)@i#N-GCaglDS47&b}_OfXN3s z7sw)Uk$Z+X!hk4 zf4^Vj9Ul>1tMT_+CG$VVCpL~>{@jJ(5cTzphkvJj0NrQr2cQdm%2eD7pT1W(MV6;= z=p|M-TRG^WU&2xTr@pc(JS1Ii=CC}=erz`0NA*Dw_4}UI&shE}buO?ZLZbyxy=caV zT>5ypBx{(OW*Nv%S!MIfr7u*-T`_(_H}lo3o)Bi70!T;w{k;R}U^DUk zc{AS|p2zp_BjK~hgw;y))61vLm`o?O9al^5`OKu>DPyqbI8g$jsJ+6DCXYF%gh2T3uk6#==Y?MCYi z)vuj!tbZCmmflEzjbDmD8wS)!UrKsd2q4xDmMw!!`dpZCWW}lwes{xI*xtJ9w>m7` zrz4yo3!wAo(RWZ9`zH~I8Rt^)S0EQV+)f&v%eSt4(G@E!Px&}Q5#R*EqQd6fv?I$x zVE`k;8j?7W=6&S9eErAym3;^R(MkCR=G1o;H4D6YZt2`N`Kg}bb1!^`bo;|t96_WJ z3laI@`MOW}BReYL_B*PwIxE?TH$@Km_Yr@ebV?=6>QDLW`LyHP`9yMnj@~+*RMkNT z$cGw2*XU>^Y~5B38#YwJy7l-$A87EQMqKkzBgE0l0gQac(>lXGd$G^US~6)Tltbb2 zX{UfH(aj=Dt;DP2doB#9VTbs5@BNbRa3WXb9CJ^6F|n_AJnXZ#Eab|+=6B;w0iaj_ zJ>ghg0YA4R+^;?XE2swiOzMnG;1iT#{d14qD`D;&h3$P^$$3g1p|IrE%mOGdo*DoY zU>3^Uem!i?Kq}24NQaN4nOE^7zUR3fz@*4P-dOwwUs2$0RSGe(@p4&4yj}6)_@^JK z6A-R*))AupXl232L?!vP`&NC+_C&1~iL}J-TkCNxWX~OazDxSdI*xvYC9a4LpshBVtb{3M094jf=3BI$=mki=+~{Yi~RTUu-ZDVE4s%84l4sJ zQW3`h06+jqL_t&pcJ(g_eG5cum#p*#0XE93Kdtm4QJZV-Glk!}` zq6b422F6PIS<0b*WgX){Ca-6MZ=IJ~-S(?WtfpGURR!AI(V=(lv4$In!+k7gOp}M< z4Zo4tS15br)#xg{0@uxYf^K97u$}TF_NH(*sh2XwqBs33XM{Y(nZ7COQ3eZv0IQpS zES>?H^%xdSf0UQN?A;5_l110uO@CSA=x%L+1|JB65C2SSyrMO#j9bh(T=>D0#k)?E z4Y&!XFYCJ;Yxcm(1)63cQhqdx@xg1v)>{kcl+*+O?Ue;k z0HCqWz_&OrYM`$b{j7>M|3Hk%8Ws|HiRU~9l6B5iZgY6)S&*Ec7saQ^cVgrQaY}*A4c{jfBA8YCm+@~ zK;QMBRE+XsnP_>ekJqoAuo+H6_L7;;8(Ev!UYF{_yxjB4`p6i4LI0tL8l(I03O?oK zXdhQ+%Mo9!KUREn0RCk2uchZXOm5SMF1Peaea1z<)rWFa751A7%Mty}op8Xe#`{n3~J-f!;|sd0_Y98ZjWoE-MLzNm;=B4bXW?|2&;T9 zouBB6DgaEh6&pBg@X&9Cc}6?7377eCq1DcziA-tzlO zz6$fiO?Cmbo_K>I$ekpB(w{zKZ=1~hNd4#KvP64s0*V0uiVnW@CDB3|@#zmf@wI!* z`ZD3H!$KMWRrvpNw~CmJFu~sr0KHLT0(zBquJ4Qq0B9H!4$h1Tzm!$tUtYal{lEGk zRk+FqISnZOZ)1nIhgQCq?eWUO{ygjFfr8n06Zu^PUZj6zB6`m2mulkPVZfe$6F_FV z=O$SID4@n>Zjbrh;Ya}opMC1?wQ+&NiT8d^016nGIG10Uud3A+fVQYso7VY)$;(EjiK;a)yU&^!J3M`MM%?3w3QJ}<~tug9YjZs*(#oA!4 zq8=d^pZD~wryLbQ3m$DIeXi^Nus-B4y;tQ}Sk4!a?*p%0I+Mj(-oH|R`@aT?;jl!D zbM#vME?0oJrGJ;N50{w*Rb{6NoLi!QWfkG@`g7mnx^P4z<|AAb6Hj!oML?h8VGasD ztnmu>&)>N>EWcM9VM+Xifr_dPLX9sv-w%JG53-gDn7ew-Q22iWI7V!6vnRY>fKTQswEOo7*!mV(r(3*tUkw22=~6$07o4$Yc(N?DW4ZU-FRV<; zjq)WP<+72*20(2C9rIpaiGao5KqSV8^pzt9fi^LG3L_v@;+=l}%RhJ^+@dib zd1cEr3#bxA4FIZgITWn{K>6TAZL^4uqYs*G08r*Z@A}N$kzep9Q!nQ?7AW`GqbFQ@ z+tzT8K*9ceBEHj2{w|*)x;$PxJ{vln9oiUWT_Dx74XX_O{G@*R-{xr^_HxfpK1BHv z0JoJK>eTbs<2gW*zWHx2SW(DNG0@Uu{j&xD{U_;y)04cPO!%~8=j%H5Jxyod3jh@T zGHpopJ+|h_hyUc6d(}X$=U=!|WXAf`fB%}fe5_}g4iSkc%S}^1yJU$m6`=m04u8n=uh2v`2Mffg|+Mb&?e2FvEyR`fZ_m& z-mZ@wQoh;a!tn0%d%~+^dAVITUvo9a2TESwCRm;I?&rUAzbt!d;8p!nHy-|q@mF&I zoL`5|{LigVdfcCB{JkPG|8r}ns4&3xyn{X?GI_!H`{}RVlaJOAK3lg)WGzl(mGk^B zt+KUgL*(QEynnj@$*e7KU)LJv27NFw8OM0RnyJiU?8~0Bj{*AfdGD`}CfVm=EWP{Q z#sgIJ@>{x=9)2}*NCzMg2Q9I0i?KNbvN^fZlLhf+%8wvhz|b$Wascp_udId}Zju!%bs?>E zorA+g3oGH+qZ7-FxdQ0N;Ey|iC0JH$O^K(Nx{uCh4MA{|0%J?QZY~E(WPNz^t<`Xw zfQbP9S~>PH4_ew0ju9VbB}U^sKgNb`fpWWUsp1$W57tbrB? zg1L`f6P}^BS$xkEA9>pWJ(W%zpknsd=x6c{8K7sslf~J)mIJuR$B1G0d+5Pk0)WQD zbv{PMWurU4+wtKEv{F~rzU1TSpqKuI_JTjGV~2+Y{(NxFcv!n`JZ#mpY6qZdC4$~E znvFpH0RVdD8J)TUUNcAvk&6a;w121v{LVXQa6`L+a`Ppx&p%lB!!S6S(LO#YIsX9oMl}WHm8#$~v79+8C#; zCj!=u?|47}&|iu~))Ymqi3QN%dt_Bm7C^^zZd~L9%Q&pqeF)|p2ANr=swN1So#Y&M_0PX0G z7C^~^TtuCKh^vGVyjW=)*GM3jdIpXPee+IMkugQK>|8-fP;HxE61g>LbWK4^tv{x} z0Ow@2v;wHqEE56*MOPF-|HnPQxbH`?=pP?VjPDSjZHr_&RNEb4oxLy-f#D!?pPYg;87;;4kqK7r(p6YpdNSLHBH0A#Xx zDY~hv)yGFxC^_)quTY(#O#a06npY;F-r`{$b||YJ%Vjro$m? z%0ZuPJg`iiXef(ivW}WmnaaxMrRvKl!|P)Dr8<~pOq9-x%=oA$X?%?jX|9*>fvE8h zKaw^ewFZA-dZB0R@i1qz_?Ez;mj3bLJwj2~>Y@6$wN~baoV{7UEFTT?bd&YX0w|4` zYCf8M6s*?yGXu2$lX~f;9iSi}NvW#FS^8z(4D-Q7=KS{X@2l??KmmY$!N5MvRTa@K zk!6Rs{h0<)DL9?Mhc8%R8xKsLXqdEP1{%J_gm2TSw=Rdgd>R3u&FkU$%k0;qznx5TFQc;p1PwC)~F-JBY>n=r}>oBL@Iy@6%xs*V5wvfZia> zMhp;4-Xh)hN`KODtW9G$%E@c%a+_EU}!f8px`PIL7%bAzypq(qd z*%M;o#Gx@d4Tuq+L4%Hcx}949ovwTVZ{K8x_b#tu-^+9EI{=h+`(W+x&12R3^x?RE zT`jsmhh^mPK7k3~5xk0v1dB2)e|9AR=m%bPfUZ;R4p-j1Ieh)1HMROZN!C>USXZk$ zZ|+#VJ$y+(3V33hT}^a{Nge5bt?Te;_gMhwxdIl>l65#7fRAtdY)yEHKuuTz{`gn5 z$j_+c|9!>&VbLDFW(DBg|D>-XGw*7IPT)r?0BANV1J`MC#uc+~l7%r;1YL+$NX3Ll zz{UPeAn%+7P=7vAKWhQ>eFAw|cPoL@Pk-n&ORfLK`tFxxg?GB$L;#@Kvj0ZoGgl7d zej}jWcZ+~_*#!E{gw_@t@^Negao}U^+MZ1QPZmTA05q$j6P1Spd$|H0%dVb2YXS7_ zvN#3si$xamPBybxSdHocp0-2zv6hpsQ>&DJrvq;vo14W2!1sgS#4ic4n)w&H8hRp* zy1b(WI5?Z%6OWx|{TPcO9H8Nadulg7&wgXIJ#Y4hGUH~33A3SD6|sNS^yQKKZu&B z+!LMlwE;f$!a2W-{J+lvKm`EK# zZ_3pFqpE*{bH*hv8tR{WUmL)a`1CpSGkFW3BztXQ0d={6e4qdJy-_|%e9so3yMNe9 zmb0|aaf-m%vMcCcy4au2nEyrfRd=b+s_`Ky|C~0* z-;4F}#*by$l=Md(I4Au1B<6qbVg8qtoA=ROuD9PuYeXC%RG*iwSvL|s_0?6y4Mq9A z^<`RH>LWkgFRxr5F1qC5(sJ_U=EDsZKy&o|ZE`D%6*j>?AJhjO02vD#e6AemVr{^+ zuGYIJ?{}y#-ytxq?OUS21?dVEwjrJ#OelSQeE;CV%lELitEq-<%`Tk)JmvMlk`RY* z2Jlls%w;Ig-`Cfto?eSsSKpogo|6PD0&?i%^ss&%mOR;sjP&RIeEsx3Ryc|8!Av^K zE%L|9ad|kyY#-J5mz-~?{K(JxumRE%0G+=d(FAgbfP}0&EZgZ47 zPxd|6ZPQjfy#XBo_%ZLv&{LzMtbBj&zUfPbK7ZcA2TXz0*SJ22={a;m&Sec2d2r43 z?RSiaTW<$+qNpt#eZ$fNI>M1hRKkF+g7@==tdHfMUY()i^BfQvfK=v%9m_6z2#OZ$;lmjIQqzraL7UN0M;#lX6pq2 zvzNZqfCLegz!+mBv{7GcFPV5AZr8_>SdZj@B}}7BEFPkKnonbElK(V|Q`Rvr_gE^k4Y;+XS#CDRtCqC;Z{xS9n(^cEo z_Vz>h_ltkm3%EU0Vkd)cXz#tWk9AmQ7!UyTnif~U0{}hd$V!;4c72QbgH@}Mz1J%B z$rr%zK?in*!w(kVyI++MJv_Jm*YqmZhx2M^MP}$j3@f4>f2mLW)fgs@Wo$8HXkuaU zunhoc?F#rQmp4^4RnaZ&%(wzpibf7j^={c5A@=+W7S zt~##>v_(s3Ne>yP6^R8AuI`X!%M}7~{(tt)13<5$T>rBrTas)lHINRWcN7prL=jP} z*K(z(6j21dD$=A0f`E9jAQsvm%LUPUm1;$$3(|WFX|xas>B(+3yZe8B@0|BL=R4my z+mZm@>p*tCIcLf{@AR4HJadPhsX-JPwJaDwTQ`#*h0*`9KFVJCLc9XL1*3FWl+(o+Izj&@46P>E|FigIEqAd0H`y7(hjVBDF4>i z_6P(#w;TZ4AmC@~I&T*!asFXD`U>TnwfDs&k>zeU6yaovH)WzpkEEMc1Ts7zEkurtVZU z6@QD7wR`cOrQnjfN8SMZ4SQ1<(mKJ$0_HfLJ`8*Y3{#be=P}v%l|)r~C2rc=vVVv! z{24qH7^NrB^^mq5)$vVJz7#9fJyr<)=oT9Ae<_-?3 zLrc^b#-emQqP^K0RUqv(bUrKD1c+>GRbGaPMOBQgT(e$3#M+DX1*&VlzX_ncXX#%R zA@w(37Q`z-nm1F~@1ozxiXSu?4e~kQ5se%8+vXUI|L!Yecg~Ig&@N3*3erQTL!_7H zwl`UiY`{K6)U~Xf0hIiPmYqUf%chDll`WHMzkWsltIB--HK9wu?n2YBuBw0lphGyz zi)pdmqkd9P`Hi9PL3YZ?_d|J38q_nJ6XH*W=YU_%tNJq4+K(E{=9s!bJBxKW%46@X zg5p263qI&VHs;2(PkZe)a_L{?xw|tq`Sgzr$P51Y$ca2y`>%{QQA;j2cGR=h9nzWg z)$+?cy^Faq9ukAxkxf=L&+1u{4u18IezQ`KJ3jiIQG_?TGmDYWuzdQrz znkX-qlK8)uY=BSK;m8GIMvD5U9AX*JzR*8@ZE#n68n4ZHz_=I~`v3y|Z#S-Y&u5w2 zpSz9ze9${vhs_LJ|9C6{K-qLbxAal&zsUA9DFfaQ);I$wjFG?NP-T#YE5b3W%K$o< z?8mR1_scB-o1X4tjS4r_5i}8P56HY^$rs95^9tlz_Lm zg8Xh>F*s1;_1wed0igcg?YPj26MDvZ@=p8t;GXM*-I9aa3pFN8*O=h##BEO_@Al_w z(srQWUk1sFO8>wF`2gvCdods}X+1?iCnl~;jG6EG74VM;0D9?b1OWANa9z2(VoPw? z3eNic6q}P#U(UR2R@$%Wy)8f$0bl7;p0-J==l1n)l0Pdv67h&D3F-lvcY~t(a384p zO#P;RJ@$fU`t;vhd^HT9N%~m^(9;q?8Vd#keo{f*^h4gl^j!~S;gk2Y3H0j#(1)il zGxoxY9ut4>5_2x~>u&-8Tqghk;Z7GbBET08P#Dim`BF7==D1LfEr(eEfHoMCdGb{Q z03_w$^7YgH%0X!#;wtK|{nP7T)JG>!Gf0XgJr0DpZj&!b5n5TX1*Dpf`P+8Ww(zO_ zV_$a0#WTaAWvXzQ@E#BLcAJVpPz+?4(|$5DfVj+b5}iH>v(zZvd1!W9BsAl?v^FC#iq2zGZFnLD7y>{x%V- zB|Z!Uspo#x9P=#vd471#wc>u|%D2C?32HF_=$yIj+9Xgvq<=IGj4i4Y|3`jASHO$u z+yS6P<$-)0gvP@rzF>|UUe3_M7-iw)k5qX79|uej05rV<{w-oa{ID1hF#yj>O(G=Y zHhJf2_*JoHm!R%r~PBjqFi=Lq1&`Wg!~e zKlT5yebOu7&%SJ?UL+OGyj1(IVF0b@!?lt6kEQJTPT$A!O5M9{n_&R`!F1EN$5LzO zz?IR1F~7KeZg^N9Jr2ZdBar(+$@uflOJ-HEZ0F;F`O~kF zKSSdWA7ibKIpW_ovcAj!pvC~|`cGp$=93fBE8zd|lGOs&R@SyF;42KE&z1U%<)4-h zApdOs`GBL$!2Id?|Hc6GZvafOEUT*xCnn(U&m{Rb0I1doMFxga`lJ3D$^_Z+#?$Bd z{aUy6WvCa7LojL<0pauE`CtHZ$!}gLyh{Cyqo&xH^r*()=jPR-7XWe7M;ie2*0=|7 za%TSbppC!zR5fQ;pUz>=2z`V(RpT$_42>g0NJ$tUAwX{QdE-p11Xlhhr@Lyl$X?kr{(NE{C~#HB4U&pl6Hal_BYcmpcSb zNylGqnPB{3On!cz4%iaIe$GVIf6S>D&agQ%zrDWm8{_UGoATy5WfG3>J0K>QK-WWC>A8%Fg56&zEeX;VufjRXWDS4i?JzjtA?jqaSIhk|B zHMHVWK$vS6E$I$(=k?f?=zu`m^$Z{}03hOaBZR#L09|Jc@wpG#E@0-7|3n5r z5XKOyVaNKsjDK|K-~j3;{q~d7wHNVlc^}SvX!685fjR{M9o~Ni&|xBLeC&zt@c2^^ z4C{GwS+Utqm^`UIY_p}Vj91*$8JmA4b1?Gl{dP7SzsU>wWABbNB>7?8U6f9xU_BBq z(0TjdJ)IA6-VEd1%o`pYu6KOeZQ5Ms>hUMfaHu~rruU4>mg z@||Ko93}Pm{4A|r)@;!~70${b#^TM{>m+>>N?+CfeCQ|z3@WSupv@z9(!XuwP{Au$ zEEnxvEqO{{wA(1am`Lt#L(|yMGIq~^t=W0zt@4R-5|jC9PpaH_)wSv?mprQU1U4;6 zi};&H?=CjGX^JC`$%slq-7DvX&c*i#R9ie(uhaF(O#r8qPY+wEk1-O9N!YZQe{;n@ zmDea1eXf`j+7}AI+sT<%RZc3Q3;;StVATe#l`NcI5s`UUTM(P((ig5&bgZlMaj2~c z_}MgiFWF#-lz0f`&6XY@7VwFy#j67+O)l{ z_JcgB8sas%Wg=BNi3DM2NbT&G_l{vg1A7xSG zQ1TKP7$cC+E3JbVQ=oZ_-jj*8JqrtgzJ4WiS0!eP1sCP_?5v>BP>% zm^V;&6mgF_SDz!=I)McA+^-OCWKL=T)i|G|Y}eF!f+D33lON_buKlP71c~*B^yqWS z>ydda{Nr`h(xHLNP$!9xGd22vGUIaj92Ef!^qG8|fS#;A%C@Zb zy72PCmAb~MJuF$lp+j|j=&fA%!f@)ip<%O$t@=W-JIoYo(CoP#R<8(`2Y^yP%gSeX zYh&0}2a^COUYy?%o}9fx*NaAZww^LH9HA>GG2i^z>@ZjFUC#b7fKu<3GV*RTRC#YU zdC~7;fDV$&<8zyG7^;nyZ+>p7-i2_NK#AAf^0F=Z=`6d@zY2pgVX*gbZUbf<*3w`A zgOh&pOwD`uhg~nZHlH*+Y^05S+U#^OA;qiM(s;cbJe<3;HUN(;Cl3$njUE!_z1kTb zpS{dBj$QBlwcCbjaXqz78~k-)j>>c93(Kv(73s<4DY7>hD=^H2VFn`LKzz>J6=AtH z!1#FG1`4X0{@GUt%Iddts7+l5uy++#ZK_8hvm7Nq50lG{-+hlY2)NwoX=odQ5TWfNY1R^NT(hc{MxAF9K%4qbmfTX9l| zZdO13{>H}y;P``eD64t_(;Ir2CPpnc0EoVK)w9M##6z@PI-N4zQ!nxFJzT+_{iSthwXI*HIvI@1fKEm z*bV@722ih+MYf_gCOa6kxz76Wnahm@(d8(z2g?9TTqg>&Oq~T}eu5Zs+)$qAjs*bu zU0-kOd2IHykn1d2IMSJ+ZsjG5W;%9hIr0WG%@<5H^*muKk^e74FQ{}}fd zU4#4U08oJ0_Z9%NPdRLI7(JpfI0NY0#eDTXUGa?h<)7w;2L&963&ljJoEY>E$LMgM z{^*$RKAn5pf9J;qJffdFyOKX14$6?3@&pbtN-%?~M=E3latu;IhF0pJgy zG|D83Y&o3!MX{=>U%grE$JgHca?N}9|K$TFgpE}XUS6;=oOAhXOOrqTzVcuYKMvBB zqk!zGW8W9EB=aE-9K6mBBFd^DSq4x5pfH{e)?^QfnFFp=RA+ov08jxn{wVM#Ake&V z2GA>V_0P-UGa!TMZ{eE+vh8w4)h*3h%{^Q2;_$}Hpu`$Euj985}PK-RY_L?sdrn79hJOX z`Nz4|4|$lZoo4`r8TZ3t^X3Zfvo4)!UYR2@{^!%6TEk+Bn8%i|?|K^|BA8%_=jl1i z4M=H`>kr_i6Az8-;{I$PHsJx^GRKWy7RUDY;diVT05q+RxmL{hx8A=ntVsq?t`eR! zE`pY_vb|X!6HXTMDds9&=Q|MdxYky^0rRLQ=!bgC{DmsYZ#Qv`#m1CxqE^>G_vbbt zGu5-IU*oyIciS02VJ`&uR%Uk9$1?z$xYGE#n@ctplfZ!Zw$fM&DPC zZH+(q^7S)rcKhdhMI3I)w-{!F8uzsSHdB>ww$>Xpv7PQer`UBirWC7 zN@teV@IU$$haLSl`TUoKgaL9R=GPj3&&!OzW&X3z^9-Q8a|TrM{u42PVzT9e9>1xw zp|3G>%sv&HLWW(FcrIS+|7eUTP0NxZ>H~yxO~Sk}>R( z|Ix>8>eute89=Yn_$u-(RR+Kf=7K7c)+>eo-LdY?WX-F=5xN73~UH3xcCbD?o6@6T$? zMYov8w6E~9?8j}cXnU(a1@43Q*I|(NvB~?*6UOp+x@ly7W~Bnuyaz|wxPK8*JCTEzJHb&bIoV*u4U$4r4dg&lVEZSgU7GRB+CNqFXifFXTP z+taPsnea6o0~Ohg%d?hj<|sB_O5%5Se{I%Ve9%FgBObze-kHB;8Y|hT9 z^OUE{MLq!LaVtxu{1SbwZMW;s({Xp!MilBZ_0JBOq+o!nD>c4n{YAY~PSxd7T^{Ls z&wsUzUb1@V+s&s=En;W4!~8^`4$0Rk`BDLu3F>`C;I-?fzP4!JxQEk7_1Wpn#4^Ux6-+F8N;I99~O&eldM+V*lz@+R< z9dgI;X@&FnVrs7c^nFEs^HBD_+JB?cZ`S(Tm^dXLYm`p)iLMVMgH7?C`?|y8#eM66 zVjMNHP7IaxVO=c?V}BlV6y?jLpX4+Gb7Of>57?uGT@gk^G?!G6)v`_hNqWTRZfx2< z;MklbN4#QE=YvVl|28h=e*mWXKk0mY~~C0 zzsik7bndluS$DYS{;u$pbV>R}rdi*PZMJD$*nCsX2b&|q?UPSO#=N|L&aaIDbnCh> ze7Me>p6wR9Xir$Yq_{mG*ZS+JFW90kthWy5-)TNQfAonI73~B6xH)IbmS0sp(kpHx z^7SUy(e}u}Ict?alwr#5%htNJ-wdF9XxCSKuf==S<5i0z0MxEP&X<(j0#VhE+Q-02 z@$G8J#r4-Ko(SE`ACR)rGnJ}T1#)N@wu1n0+ge-HAHAj=^;clBPF*Wq3`Ua|0RWpv z?-3dVe1loj`WFwc2)zHVqjS-7cbh-n>pyE3UCTnp!g~Z_ny$2I>jg%YtyKWfA;ULM zUbj9UsZJ^dCdW!L;)%Sq$T$DwotPOEQwo4|Sk zbE>oA%p&%+8s}Fo2<;2*2wjC>SA`YetA6Bu0%47efOGmg9_tS|$mU0_QSCAATk|IN zN0QfM(sPX?%!yYmeLAdK{-_>{7z$=b1NOn5C|!y@6HsVfqxSFt09NTs^>67Nsz)=D zypl?_p=_Gkwp9JwO8tX?c#?;DQXS90-4VB=a$WV3%Ij|Ft89NwS`iSiZuoA>!#E`? zcT!)?mX3Os-m0w6D$j!eq|GD6VyZe88D=T(n1gIScuLfEzN~7_8jF4qoQd^^YOi70 zozfTQ8b$3ubz$h#&@$>xD$n6oK8z2PQCH_Owe$Nlh!?dXn_Z{zaf|K(=Dig!xl4w@S?SyE`e$v2rHL8W%U>NsKZu|WgA#kbs#i~po4svOp32t*a85q#vWT#9`XZV zf5f}>F;e`HwmzA^IG7NyY$ZOA*KO&e9(@bg-B8yhfU5eIrS}&AIf+9hBoJ@Y$lXKJ z&`G9GW5{LBEdXe@0cuMCpfG?602)oLp0e^e-i>vn6}8f39vcZ|B;%s%RNlq=v;ez6 zM89>7>xL$nmRr@1)bCMlkyTaoGouIQ2>?W4$#i|GirKjt{=EHr{d4);U2038zK*nc zrOMvUFs$!O`W3P-Lw)yrF;C`+jZfJ6uM&^D3v9*-+6mYZ_EH!+nBUMIzsqy*CQ;9^Kk$5`uLkK$NtxbwZt<%z*c_EalXzFhRuU1Ao2;jppGA3; z4oO)1mHY#-T`uoe-QA15))_#Ng#yNA{v9_U;%_#OGHXc#=si0W zl)3$RZ+2x-qQa%o#Bz=k9nv`Kh$%Lq0>E-{W|Nn9#9L;Vguxz)0Yvvp1JR|vH`jsA zziERRa7mG2bL*-bU+R;wj%$~{pbcPv5_x$zDEqZo_wLo^aUK9#lqR6N-F3)j8-p1S zyN=LRiI@lgO$U-Z1E_h@AJ;!_u3|n?*G#hco|l(R$eG&MzC>3< z)4|$$SAVQcDXf>p%L~NVcKIx#vwGn1XXDG3&jIgRKfHO%5!$To4##B<0|BjVIJP-F zIwO`X`QJm=QnK*R8v3w#I^g-f4w3o-VeP7GRf)$B2eR={rnfz)Yw}=|>cf0OGVd%v zTb#_Np2^n=mFpFMnwK!3rSI~;*y#C!u9F=nFl*eLs`jx^;FaI%aF6`68D^|U@tNKdztML_I){p;_`Y}iBh-F2+=9>H?>L)Tu10f3f)khahP z@(~}}sH$)24QyE^LvPO=07|>LLI4`%GLVGYkS(y(k7a9yw+kkI=Viu(Uu#V8c7RR2 zfw8u?G2z!56YkMrsfR0)b33sT0b0vm6Y2f{ie0Aub*@014iqe70HyCaQjA0ZS6%lW z4}JA*4=xH~Gk^jf{PSJ&tsi54y2tjT)vh7{^eZKxEK>cr#vWwJ=bJn+_FUDEv8Pu0 z+9zcIP%j?`fZigI)nETHUyP1ojM8G01M+i!I@=<2Jr~&%1OWKb0TBQI0Mz5pzJ=*S{>fsUnv&3dmq=Sj_WD0PdY3DP+$NBfCA8ugY%bE z|IVZSCGs?Bp2amBe$eXia5XGr5k+zOMViAT@uCxFk+L~gCS7$GfiGPB3iwN}em*?& ze7k_o+SnpNBFp&4od-khEbLED6n+yZ!@nQh&FEi>u zi5_5Reb-xx$KXm71wSqoE9m>)woVEFRo_keamF1L>h2>yHeO)rmM}~6#~=Ob*`%CY z8ZWnE_op)XKU?`v%OeVfn-A1ZPx60VY5qMEt`F^jXk4KD05kz)#mq?neXu#wZ?jhc z8)eo!p%0?CX51M-uh87$A>DvbYJ+FkF)k z*!Q`YI*cW=5AWfegvGiq2GFZihD8jd$E)9GUke7%KioE7U`EaVH2yOGJD)zi4}+}8 z%+PbPSoQ5%I>to$VHx87oW>p2vv+7MbM4<=u8HyONj)V5YdqM(VSTl(T+jY=$NccO ze-wYnR})$0f$JvosPw1n+ZjMF{N-~2R#G?48fyShfo84D&knu$|HPsTsOiMAvDr(053EwQ2Ib{`vxd?${7U2ou1Z z+RMRhmpSXEEc~!J5yJLLvt{Dp)|O2>vKu{;z6{_u^@6%kW@^Hy{LmX~s=f@#5S~3y z22Vh*4?Vgn-1lI0UChQqm<>0m54-PD7g}2xx8qwZQbdRJVd&HKOL^K_cUAw!qe?i% zmqc%g_;YjU4+r;g9RTQ3SHlYsxnvpF*vnoj-L>nVrfZ!_*UwSt3wGb7K8zlf%I@(E z)~4-H@7SjVcs5^Ck6Z6t73R&0eN4X2qO;+;%6+@7>%*i8=&Jt=pj;QfK=I#oZ+CcQ zegc%v2yXh)AN*~z1@UViMA)JJ8f0TGMt*2J(Uz`ocmd?>9@RC#chpn*RI9JbwAl() z70w0Gnzt_o&^j@I0&cYHiF489qkV1M%ABsl?q2#20m{-jooC5xF)KEVdba>n+;W6e z(YSo>?w8%8tJRm@DR2;LWmV!LBLHZ6jS4Q?>1+OjtP8GHST^4ZjKEp|=jsL6 zGJsiumwr7GlVJDan+;GF3%e+k_BTcdz}YfQFH^lxts3f=l|?SWA0e=>yfTu3RDv@jVe#nF&?-sq!4U?!KY1 zWur{k_|^c}v^BLe>r+(R^xce~ZkX-U*BanYjgelsd-;O`!ab%y*|n>}2viusb7BN- z5iVlLgt&%MmgooQw}XIwgf9lWlB#sxys>bDJBv|Ntc;eThv%(=ny+XR0^`r4E4nGW z2>SDKl)hHX6l1IORmhl{#021W_*+#01Y*q_)%~7jw@KeKlRV@-$SpmzjM_O28Me9f zq3gt@H_m3fKZDE@UC_7nYJ}?QS@K7<13rK)@T~UPG<+-dY1>AytjfuJ@u#OmUx53e zW8a~6rgJLN(!V|<1#8U zqaQ0@y{41_v_U!m09xOqTerv;72XxWoIt75Im3H^@!qn!Dz@{Ltl4wdtFbdXQQe@NGjUVN<%CiON}?J_&Qg`Mlz z1189CFp%9}bx;_~H-vZVYOD8V4nJtD%i5K$q8zHPh)K^4*PN2B>pxAkCu}isSoo~i zFtU>}7V*TxrjHvyetYdWT8y5J;dveApZkkBdgU?2`hL_$HVT`HxzG)903ZcKWD{Mz zfK~5mF>iiSU=>U?08|IQM{i;q^bst}q9x4->Fu`l$nfvFR+Kh|K?3{oR1dPCQ$UvA z`Q@B2f3dzIpis={YTN@R8tWNOt|tFQ6%$UHANQY6-`ymSK2JMzasWX4lvoRC>zgLm zg%O^ODdYrX;RZn41!CpkO3vEy2;pE|g$!Gv8)Ro$U=blJ8j=){T7pSvPF6fFViae**wCE|#dnjFqv!U;?W(h)w?4Jp79KI{G{e6WhND ze0Ia_ucQ+~dsF_0`t;5>jWMA1*lt43002M$Nklu@(BSuU~9zChXHnsS4G>SLH|JqJ^}j15%Hsd#{^b^;SU)r-Bd3rj29s77y;5S z04Hx!zTCV^W5RoKV**Uh#G4-z08_$fTV&oXVB5PBkRR`SuTY0Q5RBEAbou*kjZ$e)-?W+jZM=njxQzFGE$oV@v|`n<$B?-pATQq)s%z*T>3j5P;*5V6ZCz={`sEWBj|#D$@4&b7{-PF z=;zq;7mYnP6pTGFrvCjc1Ar2m`M`;vo}_ES8^dkN2g2?l01o*E{0Ru4F9VY-`Jo@k zGJx`7!3Q7=>BN+6aJwRY{VA{WS=!z z2GC#p?nPtlqutQo|6Xn1H!9fxD4NS2sE=pJX`TVp_2p@O`h99onqy&*6bSx>h85=I|C@=Yf)YG95F|vjFGW7MpOK=Zlw<;&NmtZ=pGt> z-d{5Q0CN6jAL9?;M3}h&XP%WAe_T(L6JRmQ8U|395-HDY`F&pF&&IFe_ydddfBN_% zLHO`yZ_Ro01~52s(nn@NZtm}Y^wHEO)n8OGfO^K`Y zBNfa-+=gpu&;y8Q-Y44^F9Eno4yhqsK8p-Mjbe$NLl0D34F56{(NfCp`QGr;() zkouWE^Bcx4m)G5hVvm#e19w*@$9$vR_(2c*gNXo%tru1LPUElk zmw6ro$`9 zCViM^U?hy!OUF42b1}eIrSiF)ZfE4HR3xuZt7)^>(k%JxbW!P%6#DFy;m74#OEy>3 zvsZwA&_4i?c7VPTZdGSpm@THihs5-^RA9Eg410hZ2>7_u4h>=CNQfG!MM=5lY%dRg z&j(1XIhe%d+4$5@YK_Qx+O^;ssIQyWm3Fa zd)Tmn%gq`VFsj!->Idf`v_JIa&#k@W^y>Ot9h+;$(Sx@m(zAAC;NUcUmjjzF!hoDC zvgAfm)(*x5ExA)u5?&toz!A{U-*x@_)6aA%d>ShI3xLM7O&Y@X+epqKs$bSWxet$D zQb-KOa{4d>51JQgM)I)l#hSv#3zN4te0-9|SLTjPl&qDgFR|S$7w)5d1^L$)p!Ng^ zl>KmGI?>IB>(_@Jwi8%;UD}(@ z&hG6B{b2wdIYMApeP49{!` zzgOio0O;Ml13*Xbr$v2wZktLtK>1d^8req0)K?DTECYZlRWaao3GgFox>SVhFBNE= z0A=+<1s(41Q!88AcMUQ

O5hC0BPOJA5ls%#;oi#vgVNj zBerd=KCRyNvbxn5lP7Y?{z=Lx8uM-Q1;uY{a!EgDo{7FkH;yg?a5`PTZ8DZ7C$On9 zt4IX^6@a*|X+q^4!+lidNDJuc=cArGo!rBrH6*rEd+wy zI&=&4m@Dw86I5N2{pdk|yS1mY_z$XQ04fVSE1kNbI|@*_dDMF)Al?P`RvGmyzuSIi zU&Y@NplPyzuDc80*rc*yj=*?E9~@hN=}hA)`!rNFByh27Y^7(clkJa6?)*(4C{UAS z>7sGy=3;o&mF|2%C153U#Z?`z2mpGMfP|ct=JTnP00JwY0E!jByqJ~o>hh2`WyR{X z@3r#`Lwf<+)z!H)tXg!VsxLQ&Wg;PWfY|G$4}p-I1eC06Y?U8kmrfYjgn9O-S^0TE|CvaYctHljnH~~5)-&p<9?Ju5!(&=2wjxCz zQNlz%InbBkkR^kLA(IjLxt3Sun&5O?z1tjur6eAs#|X4KlevwbRP{|s@G zup4);j;**#89+&k#Xy`uM(_&qQ%G)55Q<^}LWkxDApZVe_G_a7N`!jgrp)cni)<@v zy`Xq)aF@-3(8^R1GeM)0n_FeAajU96dfIs#7EdZa08l_={WTxlbDglaHsvwj`mZ^a ztBN<(RZTE)!hAVG?Jl{%JL48UG1Pvu%De_7ywxHc`>vBCIkfP z04)cAA_HmU89;eXxzLI1y!i+NXX%mUm3-eWnfI**SFliI_@eWDf2D-@@4Fz)r3JK2P-`Z@zKFWa*dPxzw&{A>;}4!>ZGmtP>Hv^y+&SDvo0Q8tbRF<}1S)c% z$>lmsdO(Ls{@$50ncz|XsTUXg>N%5%IPv!}U5CiEpjQ5RaOy=fs$|9AV9ovlD!oI1 zz%^wq)?p2RJvX-KP`=O?{}>nI7!bz-Hnk{gzXIOF4a7!A|BL`obi=~Wbfm(?W^u{J z3VK0L`S$kt44dNRH@s+duD`nCVE=4gRYyH?1NiaIM;C<~#QZ{ffbqWZ*(vrq3jn1Z z0O;C9%)5ZO-Ox8&Dv%`o-9U}Wp+B@KHWt}8r+(01bB1=703oyqfTb|Y;-9ka%Vtd2 zD;X2Mt+xNX`Tz{q_a2oQ6JRWb^)RbruIxQHGbUWDF(F%@i3bqrehG+_uz=6*7EoSd zo1tGhT8uaA>Y7>FvxB$+fZlN1E0$OKgC_kuNqwV($LXssQTqXKfI$~;-F~Ej=*aUD zjR|c6?NT=k0Lmbo2ww;QP2TS;u>67Q^D%h;jTm@fNVbkk577NVdJm&1hK<}4G$xQA zpWJ2vps-q!Rphe?xqj!}ByHd^#eM4GldT+$(eD>xIHb)h%-23WNg(1_mtf!FLxY#* zcU0;pdilh@>sRDrEI9MhSqhmLB?1S?Sz-+I4+zlVrLIH0XQ{Ab74X-qTwR~<%z%uI0TfSBL6+Xv zGh@$-8hc<}rEER?X1aF%Q}0dZC0=j*z1yz;zT6G~y+RC7_lSYfuds38FV~v`0R5W) z0B_o2gn^MC(pdJ>8|KFH^>WVGrnkh+yoLIX&c12@0A*N?Y5H&mroF5o9f11)K&>nZ zq|k7V>$J~k14aD@pt1X5>B_}-x^&H<|7&FcP@i_u z%o;f)q8$R+*`PKhdNfg9sUqhf3J~--%`*X<|3CGmUaqTSyB=ttquPdu0d$h7;0(#O zn0Zd3r+s!2LtF_CQR6{)tFq#(s5$yi`%Ml@Kz62{^6w0wl>h(S_)^$;tC8WodsMd@dG6Ja+bRZ7rSJLo{1|{zeX1MA#qTmVPV#%g zA#tAmw1CJDtNoiHKgxf-f^m@P`)R0&%{nHc$z~&Ywhym1Nt(2SmyKFCNF7uuLqI{4phBrs@q+ZG}eMl$RxKk77Z_Ht+ zXV}c=QsXK6lQr%3c->CpKUZ}fom^I;Uk~vyecZFN=6MS=w>$f?nR-m9V)G7t?69xK zOap+z0GcsT|LFsF_hs*<+aW3ppg(vfDMv5QYH8BkrRn&uO$B~@Pr>-Zhc$q|@&IHH z=k|$*#SbH%(D?KJt|{J=NEtxqiUBlfGaiBLQ(lMh=NpVay%^X!0c~Ocy}|a0$(PG9 zpPY~aKr0NOwf+nMT44ZvuBx`2{5s_S%q0Je`~R+wXw`iU$ULdO=Vo1pUc>u`{yw6*{EO@7_DgTnCm22%6He5v5qX39ZGES{ z-S#6^(hN%hQDXw*ML%lHudgZ-0HOm%qE&>o7LZOsDjEu$#I({jrf3u%#Q?Ec@KF_cdu;{~o8id$Xw@v_D%X zC?FyMa_kUD4CDIG+x9Z^-rZ}$rmdngTepw~^;PmL)fL=NP45YhJ>F%&$G*~nnQ7wq zdSd_u{AJVhz5?am(`WeJ2(JL7BFkXP&db4*aCcueeLwSb1F)(fmM!lNcl@I(%$gn7 zU>;wY-PEMB8ZjSkwuyi=wZlVMu&U>bJDfeF<4*)rzLspD=)r)fNkIadqaULmFEex# zLsXXlYq*K5bL#iYgPB*#WvP}?xBk6L%$4P3PCeUk`-ZUDRMlB+m5`FP7ezolDJoyu zTcft_0AYDOCsFc3|G>x4hHc2o=n>%&(~FyQ2@1H>fQIsHYxC}UTUXh~kmi9ET2C0! zM%gBTEb`vtH!r=U@9#;!UHC2l%QI$12JWJ^18`^RGD#%cSor3bWw`Vj114K8zJJaMiLi?|BWly-x+qMLndP z&E^lfcl}jt5$w$UgRcF4UN5T_y-^x%9@MvNZtRu@PV{iAA*+kwQIxs;d9AG{eK3I5 z0aP3<22cS&eK(*so&t49sA_*|vmLX=04lI)Z@@}5LKr~n1>o!P4VOv=J0k$J43GwR zPQa=9;k#+WhIuYZ9-!&b`Q^%IBLK7vWMxt61A|e!hn5kWsa~Z0lg;aeTv@s3ezD*Q z=vNqrj3@PVox0BYiO|02ABwl2-b>)R z=J5i%?xnQ($e8m`_7oMKwp7Vb(sycmw&?6H=1j7x?sSVqwrAyYdPGLDM)9E|>g+JF zOEyoCjMAOtjA^M3b}k6Z=G~w=sE(~Bd=i(yf(9ZMun`8v2o#iWC1>i(+6uxRA!nJS zk&dx3AB+jsU#lQ{1WfFKy|m*gMW&1v8P)&BmT>~sy+iS8@J|f&%Eml}>sWA$`k9&K zanKHQwR)X&fG$!Udu+YiR<=@O=n_WZmESAh)i{JoXk*+J3vSb7C7}YPI4DxHmA{VX zgxS7b^{Z&@%6QurhK$)?WBgF*O$jO-`2;J${$X!(gNh9PLv@(z(F=jWCY0)`u5fQ^ z+fJ;d0<7BUnRF^KJ9S-s=Yl`0sm|B)d>xjY0+Tlm-&Rd_OVxW6BmGjR@>XU_U4y+!A$qxMt) zRZ0nHW0%B^GN&@KQjc>C=|R~h=deOj5Iw8rg|20H3v*hw4+2nmJpq;Xm27I)`p=48 z5q2$CIrMS`d>zcMx&of@#M-9B1V@FNv^j&N%{b$u#cOY*d3m9YS$mVc902IbxEF=w zRi;7bo?`Na0hIZtgNqR~_OGgI%s;aUL=jM1eC`qU;YPRQg>+(HV_LM(=mz6yGDj?$ zN13Ny{xB!0?$44q6(8l7jnh($$y(~jXXA)u^f{}2w4zRhwuVW(n?KT`rdy?vg6Mmw zE6g{kj5g%yC-It*ZFPr0_S|12?^nknNg|cW=CShI-t#W;lcbe@Z=zcyCSvM82D22h zQu7#h-B&N1-Xpz57ZI4z1EoOyp`)Szy6EKnwFOOGG4TH#ckB?-{JI-8@^nqQqsr+( zVi)4>m{N45`cEY&de3C8USEpXL6>SYlN~BKjm8II8nShm*p*tAkGKEsfir;igfSzU z!q*R-WU?W`e{lF~vIrQU=j#Zlg!8;B=ZHCs$xgLA=zmn3t`|FOip2q#>9k8{WXh#3 z9CzRZWALE70QcSg@WQJ1QQvi9)f*k&zsEYR=n4ST-*3ELlj53a?*X!${j=G&`1ki- zBZjrshm$`wDGU?1&`kt@GT6l$bKcRB0Ti(6&&8@l`A`PPc=}V1RiJ)52HaxgJGz;GqL^#M*!tId{p*=jkK}9P^;*JL4-kl0k2!ce?UI=af$r*p zGk_8Y0Mye}|Ej*QPyE4JxNpMb0?_618(8pEr}KKdZIUIC8l*SI3MK=zNAy)0A8e#e z%gOZ);Aw|xZN{SV2eF9x^D-O#O%m_}Ha|4^Tx ztubN#!gMiP@uzsRK+*hl^;rOD8Q2=}9Bjn`fHCQSeK!bzYB6^{vPfWAfyZR%H$Nw! zJ_hE)3$33wXU(6(KQPX&>E;Dj!2<|%^Iiei-zhy}9w^YE`$LDYZ)bJrEUNhNa%J&C zxqde(SLy&|ZS^(D)1mJlS7B-L7znopswe)37GtWWbAQyJzUmCo>M;)KT<%R z<1f&cq(m|Z;{edB{`8W8sVN)kAOJ+JygupBcm?<01bUdMk10O+o(;n(Kh``*3mL9( z|D6~C{ezdHWf?$={C-GRvc6S--2O0temh}T<3o{K#JEK{@XzIkMfNNm zyi=wy1Or;l8uZCE^Z@WMS^au>tSQ?P(4XZ3puGfZR${0(9K!j6m^PSar#xMNd%!Ay z#bIz8h#{>jGzaX>^u_>6c>s{^uW^uS*1t1+a=keq(7f^Y$a$~kj&8g>vJ9Yn5OttH zJFw3(huBN=>c8shSFe8n>bwmTo<4^8)e#8;C;()h?hp`eFb* zCmDaP)A)01hDAObuls=kv;vyWc;HrtmfZN`uZ#5R^?k550O;)aDv3%uKdrf z%$$$SSX#-umxqU`VF1;O6V-n)o&p@a`Y-dWf66j|p256H{#@_a^u0$Veedx(MtJw< zX=2wffM#D7{H`#7>Lb?aa~wFIdaPjpO<&os3InM6H(0O_(EN{lXqguF(fsd^n*YIA zR%WJX{&z$&|1$>AGLJl$a+qWLe0n>r`5EH@)w%&(_K@~vwwN-!>f;?)nYjl3?|i&A z2t!|f<`?1^LvR4@=Up~abBOB5QU*}nIFPxGq?Q3x;S|;Ypju;Li~-bj7wuKe9PT6wp4@IHP4gqJZEpoueHWa0P^kZiZKF@ z=#6jlaU-BOm)pQ#npeV%Td5~WKG&Ap_3iPyyU1of-P(*m+HIA^yoY%(bLJxdm3)z% zOg^X&S-1OJT|2K&_Gc^Lx=i}j>F9+CR90UG|DH3zW_@VF8V3DxaQLdOvA*yA{sAA+ z5m#GpI<+orwIypA^cL6cyo-A5pPM-~z(W8A@q9$AK^^h@26tK>X?&785jmE^ zW~_hjsXx?rJ|dgHuqWIp0O)fsL>5kut<1KowZ%?3L4dg-jkyZsVlqd>mB9HmGUeGYh9tfYke3ea3SY@9=^Y} zeNe3W89}OPc;s^+LsqW-#*4<#5BXr7-z`Q^Y>wrrvj)P_)(-8WwFSmv?Pp1suqN?= zsO!_yD=eR+T=M#MH+h)a3_y9y&Fe$ka7n0VTy-KcdzWhP!c0A0yZKV$x{5kp0bjj#iCWiR zu_@M%+E+lNc%C>od6bR-OWnG*yJy7{_B-aWl1lm`0f5FU;L$}!AF%u_`fI{gT2M*k zm+Q*w+IBN=5;~=vOxdz4{Sob`(9L=3DuLD>7EtdYr7gM3j0(MV^zLDZz+|)+11xDy zVC6|T<+FSF1B#*uXehY^?gNO{G(y)r>zZy_Hto$=FEwB`s*>3?@Ki7}Q4ch2{B^6L zuj+VKa^9y0wfl})v0=ij8@{W`lCubEYT9nBAE|2(E9YIM$Lc)nT~%o5a&%}Ky_bM` zW7J1hhi7nKx$GG+p59dgs-#Rtg~pL@4UNs~X#FGBNQ*w^r_xURb^z7u_gy8E5`Qb%;nMBiFzSgd7@l zR!$wt>rLgtzP5wWD(NU6%*|sxNbw_(b#!;m6Ik|sm7C75nG_Wnf$17rri2Eu%c@t` zKYD!5O(W=yQF6trH;b8ZrsANyij3rK93%O6QrV4@Xp~txzQ%l4yJ-)MAqHS$Tv1tc zEPYhvdUts`y3V_9*d9708YdMsN;0JNc;)JRN%iwCDIQ>D-p~e`L+hA5g@@lr?We)O zcmOi9@wi@z*W{L*6o*PV`om3o>sk<2Exkv8MFH>&bt^p%87X$mHw$1pA?hTlZ-6P= z7v846d$z*nzgQr>MlpwOD!}$O#&&77hW=XrAs^!q?I@ZkC*|+;AbBB6_%Nl}t-b+p zWm$W(I9s>VYgV6=xqsGX&Q6-OY*4fhm71aG_|M>@KsA9XSehc z!N{?{VjW}3^nA$X46~uWQ+@0lF@WBuex~*#(U_LnNYj)MhV3q=Dh~NKeM&0=;)V|O z^95JH3)wGl^-f|aoo027+Kqh3#e9_cOTHhV%kg#=!SYe__OaXiYgA;#eL-DgyaK+d zRc%1&bgNJ}HzS;lw@R1VL;C34>s?=N_lM2Lne@{Uz)CDCW$6JNnMtXrA$l{cgZk~_ zai^E(iV?89?HQ>L;6G!LRsFL0rEKKoxuqvN>juXISeA0-Jxv49t6?rE|HOYR_m~dd z1w~2x)MLs8eYsu+YWqBmawH$fQQqf}9S80gw7am7oIA@leLJ z3np5Wd0Dx8HF9ORdoXqx1E^O|PXn6+C727}ED$64z;LxLKt>Gh;(K3;K(EJUEek(R z7%uE(!5^-7hYget>dOMwxXE5G4=c_Ey?|5*bIKuNG}9q5CeHwR{6Q0pEr)kszqFRw zlILzZMcx4706+;lW^Y#oIs+)-Ip9BE`RUET zxC*lnvY(OB)v*VrVBB+lHoMn@9yWT;K60uZuxHa`!g{V4gLu!T%ZVJ=DC0b*KTfKX z)qgrIs+7Y?$77g^Rhpm6sQ5PA_m4)4ouOvGl23O z5Y$tuXZdn)_jyN8wQ`3^4{)zPFS3abgARG`Chzv=gRxC-^dbCHB33_D8Ert5?r2Zc z*Zvr100lsC*5$MN6C}`10FjYG87M6u(Q6F=HIVl20cpoN#s-y7K+5{nyv$km`_&$u z@i_Y&@bGVMdO6%z0fJ`VroZVs0c)`6EHXt5pvN2#ubpQy4r_VVjqrrd7VvsqS$TmkQfa)qrKbG6F#?+-7svaxGs^vpMDuwl;prp6F2*9rrug$@Qt^()|w z0W^8e7<0D5QRe95q#s6>)#P=JHA$>UU;Ov+_8hQw5xA}*iZJEJs$Z;XX%wvX@8R-b_qupA|DI{n=LquFAj9x&gL10QAgD zW?K1hg*R8o=MDXa8=vF2+imwlIa_41uGPmF07m;XE?Akzfxgf9=a8OyVwibv5e->okQ&VJW?i%{xVh^7Y;sK2ruzy(@U1GJsaUKPjny zw+q&kyd;34{({8lW01lWfQwtq-kW2faru(!Uf7@>{kW z6+XQ8x&}}=>(ZI7=1P24r%VrVz4mQ=)M9!4uKKg&dEWli`!)z$PaSSR9{Pe8#B#Zz z=Gd6;{9=v)T94DmReV4JIBtPHQX@{H+>cg#ncE0SI_>GR{iyim_}YF0xf*+>gCZ{9Ld3$!!7( zSLrv=hwG(c=k!&1Ugm!_pO0I&Dg1}l(OE-#{Qeblw4UbU12PfI?-=!+6#%GxWRR9C z{%9TO^~jHn53oSOZ2Y5NJ)1oDSWOE`JACSCw=}^`ncf!C(;ivJpA#8#`)hZ znp^+w*7Tr?ewFzjYx4j6Y1#fpPuOI_uyFW?$JzM%HL)xAWdMxspuLc7r&aGOF+aNX zz6Aj}V9jFAw2jsX=y&u84eE)(-&0~~eN;C?JTiS*ui#V$Raof}A%kBQ& zs5bQx;7fYg$YBmwNh{A}ZVejOt4CSp_U8k&ne)SL>T68Gvp!y_wV~%FUtTWD>tQq2 z<=I$iqpW3J-q%AePZK>hHK%n0eYR_!2&mTexTb7R)8lh@-bP=1G=_d&d9^3}U95mF zyx2GJ5nT_{mDbyc?QhEDcutd#d!TNY#lu;<5fGF-ycUM?0L1aKa3^=(y(+vizkh9Z zjMxr$)YaM>tf#W&;8gLr-pg#ykH2>}Hto(p^y)jKi9qJpk`0tKM->yWDhPddUosG` zNk>e^7G}ab5Hwk@Cpp5R&OP@+Pq_U~vA(LDiwyN_xB!dq*=LBrg%RM$d=TS$_Hgbl zvn86!NAfWyWyU20i3jeSDKZ~SO;P!zZ{siWfvK_e4Efn3FrBDw#nI5b+kAxdA|SLl z|IugpU#^_@>))3wEv~PoL$%edx2z9SCq=LVvfgulcX)DoG0QD1R+~(22s`i4Aic-4 zlDRLdti;wjU!YyjYgRJS0cg7ER9yqVX}kuWXT6%dg5AA3wkN2xkuw!Rpo)cm66S^d zXRXikMyLv|9&Q=AlPYkFg)0(+NQsws07*D6iEHhc9v@2-g+q>kKUWB`X?8Cacu!!$ zLIVJF_q+{fRy|Haq z0r)2Cw<_9zWR^a}R@l8*SA-WbOlE|kJjDPSnx`37AoIq4_O#Cskn}#&Z!DRd56RZh zyisTzv75?mxaEevxdQs6awi4K+?Kfp;81BYiB4eH<&O(&^{5`!e)yJ6%@{z3ivhF& z5O16#IFlUbzOZ2~ec?*gJIaMbvqmyiu7Kx!U2;gC2qaU|+QaKso$pzuI<$&?=i2Z9 zT$@L|S)ea5FG_C^rO_{uC(lm5>M!8D_9vCyhm|mEy#gb>HnwaWTE@IpNwu1+tJIG{ zFk|~sx}v&!>EFdrs6DvCIz*iG;lp$_r>=pwdK4KB!HBrtvU}FnBFQ$@k3Thrv*1+* z+FZFv?1){EHRSb_1QOt{u60XYk-ekz9?4>C&r`3h9%ym6QVfvY9Wxb0Svx`y#Ur3y zUCUJc2A5GQ7gfyaoSF%1i#nZM;SHeRs?N@^a>30?hqZ4(e}=d)tq$Kqf!9?yDpHb+ z+4`gU(9IR_V$>}(l$BUD8;7e;)Z_-;#XddS{MP^Whj-;h?L*+rjz#zAI&k)$5Fl?< z?}w}-V5I7WK;jY5CZBkf9=inA?ppqceyg(77^OXALzRo_!;tkPqdjCY8 zISh7;R}mq$=>wY|tJDvQ!E@zo{Vvk00x14E0W0g9r)aJw@Tt;b?nC`u)gjj3MPmI0 z=vru`DS^vdM(!3GTBk}D&YNT1!LAZV;c+uBT|J+izzc}}zqDnkIWmWG~le#M-a{N&5sqr*m0qIFZ|_UCzajZ(XOo{OHa+4y0`)w0Q@ zxegtS>)~U$rr~3I3E==8WO8LS9qgCH3`OU=?Iy#*A@AMLguCI6SHkTN>gzwb`09oU zGJ{ohhb;LIn`~tPI~Ui|V?L^D+4s=3?3n+&Lf3~H!>l=Te`5XsxqL~7PMDwRFb(!M zj5C13+f~QDpRoCCHDy@XaR3iN@V>LQ061)6ay@xp zaWkP}0?T5N-!^eqL!*76hw3&~9Ge3`2RkPG;MerCsgW4=@c>{IHd}i$?-ujTyOS~D zH~}Hu|EY&fvc3RDy5j+oWQ;9{l04glRb~Exz1A~OD&Am<QIqDF95`B{~EE>b2mMq+B_?J@e9;8cdiI z#kq)qeH1ad@^XPCjj;s-0MyHs_eBh#_}fMRtV7-(#~whYfQLOk-WQpZ6S-d1*mGtw z_7wTcK4a6szj~wXouoMI5Gv~_^V>@c2GA@36tMYT0ybbCQ$KFkuxG;gPk_>g3owno zj{V+re_Uu6F@R?EQW$7}4_&v}@^U=`Mgj=u?lRkx^!M)0+gz0jcoJiJSAA|`dW1ur z9A8^fr^@;}tCOnRn5X9~uf$~!dile6G)8R3%p1<=W8P5407{?o!M)ZEyKXbm;(>LO z>q}LPHRj97$2Yw(fc{A!yfmuVJ$Qq1~?bs}NyI7z37+|^T4Kf0B9o5!o;C8@cZ_&K+!17XM+d;%`kwv%#;%0-n{jQ@X>wNx5v-uBc~r1d`wpZ0QE?Eu_uiaxGI@fpQ1T2 z^Ohn5OXWMoR!P~NDt{Qp0oKO{Xb!cF>Ja9V-##Cn7bpl_sc2*e>pz*Z!T@?h1|V+% z*5V)6wo5*fjvq?91Hmz8FAhdw|adVzv`7>}_fzjM1>M4#d#c zma+2^PZ0y?RvHgJm5j>+Nvq87bsF1m)!1HCPQx_*klvayk81qs?c>XQIxtbfNa=;)P#@{X1R{mY#Nn*(mY_9z@4ouZYN!Q=}N|>!Zm?H(c zpD56(0YDSR{P*kQ6aeb?Ji0hsqgzU97(f;OiRwogPvaHvVgQx?iWopG(L^2q#?AnG zf*3$6CMT~~m{JDN68{wjP|b^{GhcUqiR}!awDlr`H;e&5HU4<`_iFz4)@1%ie{uOW z99+v|F8*_nS4|Ct+i|wN>+ov>P znSaN+Ia&Su2eb|^8p|2KUepH-PY4wHpa8D6_AQX}tB2@TAbqUh#=QV0y-fYS%U#0& zn&hXH0knlH;HO%&#sI31Qi}BC@%P_W!qz|)wF_HiYfd3Ac1192u0&2i6EHJ!_|jMS z>i5;@F;`*T?(w?Y+tr$M$Na_gtbSNNtL5=IHS(~Y0SIaaZ>oDX*Jf?X<37T#-S-HD z-rUa1L4o)yGv?1pIteRA05>2v7Yq3bRRnG*Bzx!h~eh8dBM(q4SAF5G^X zKCW6=z8;j&W|)_b9#tQ<->%M>8DWkrJHIG;o-_dEqWb)Z{Wv~!qPsvp03A9sR)|GD^>)6JR_!o!brg~j=A5n|S>|4Pn{HxyIiwsq16^Yx@&<>K}H4#Xb9T3zKr zJtiDy03GVPSwG?~(yQxpb#0fE!)Nxul$ea#tri>|I;8HaJg6TvjG$Wc#=Qn2V~t!F zo)Q4@-Ul=m=v|Sai&}S`y0GuwjiIeA>H)wVH><^~%gglbu@%23Ue>&TDxB%a^T+T= z+;I(G9NuGhJ>ibIa{t9{0Kx{GPzASr=Sn%oLw64K?W{+(#}~^vjSn}5u3_QgZs{IN|SnOQn7usWCz#a?;{W}d^iKhp=_@~~i~{>a0O+hF zOwQ6Z&GjSp67WeNFEg=z#NU0zpSw zI`LV0p-!_GV*pTH0pBoWxcVi5?&1Kb5X4BI&>oh*@Jq>0!^_L6aYqcG4I}pwkZQEG z?KG)GpJI6IS$2=gSZgFZQBHltUji}?+eFNNJLnquVb(Xt3@JR7K8eOEb>3|rllTNy z?pYyr){YqpldjdXsR4d#Xx&tGXlH?#)X`+aTSCfl`xBB^z{DE1$26uofhHSVi*DOrrC4~EWVut6%$8l%18mT|_)S>H5P`cu167R{$@ zukRKwVJ&{<_x4kJl=8{{V({!*{)EzbR4M_3fseeAK89>8!0PU5u0vzBQ=XF_8uVvM zT($ci!WS3;;Twi-9fk~@EKnl-cU-Sg&bHsKIYy=1tps;T{egtFwsM>FS`JjLs~;-H zT`_nXbEU>d%0}_iAJhr>+`Zy{{Zlx*qdG7y0LHMtHcgTkir>nc=bGQcO5E|dp6A=B%D16adfYkm=n8n6g&W4g z2zrd*MVFa6A3=%5`t4aP0BD!?Z3+wwprK`Fl{@E-wK^yWQu>Jc9OrZ?kdgX{QLfBp z56J5RZ}O#IewDv zCc||{pZ^q5{>!|ok70iG(s&zC-8VCRAjOjS3*i4LZXHBMj?XkPphVAJh0`cdK zGl1rw_vVIy@|QQhBu2LgQt8ca**iK6m>CZgpaXNdKo))tCs&|P)*(SPpt3Bc_#Ea@ z8h;7^ji945#e{;nS_g=?KeWgea`?koIjM~3JSi(WicjpbUf3;Re2Z7WuQa`(zi*3~ zfkU+j08N?fT!+;F$*6DFd)8(We7@MHFaYTO$f2)(7nP5BO8&sMx99dF!}hwq%NbAo z{cm*m#Z|{y;|!pHsE*CB%4PlJebKl&pZhfQ^`!G_DR2@nju zx&HcVI|C?Ja$g|8U2owI-9NJCF`xke!?=HQ^yANK&439o_Iv?k-M}gb=;gIC*XTeC zCfwCAfTRKJ0j~V^e=#A9hW1N6W3!nx1ntS%unL7TvIz?Xv<3~ViHE2jkPcV0W4PiL zhFO3f82WzNGOU4X!oZlzrt!7vyZ$N=M3F%k^rbebmM&NvAY)ui$=2__jJF^6=KxT5 z_s3>T_*F6{czi{+$Awh9&l>Wvqxz0dBx3@=J0BCAX_ITqe<%=3yp}=}_9V|XQP-p% zihZ&S6XsFsD=>alIKN?=1XPKE{gW}KFLTl%@c@&0m1QL*oXeGG06kCF>XM(nu37iA z>2tYy8w1_GMG%_dmHb{Ex26go&f398^bGbk{uhi1nTs4Rs2Z zN;RQT&FP<=Y=??~ zR4)<}A`1eOjK<`KN}jkW*Uu;AT44Z9-g6~=5d&zJWfYdcWnv5T_$-M`{O&$v{|HWE z>^UJ}u1gh`%7gy~RYEr0S$HroP#5_c^GvbZ^#_DQKY5+{OJCSyAMv4a*7p&==ac6q zw`|IfJ_$xwbb1`)Qs%w;bNfRH<0S3$%u8okJjk~0=pmLaWo-*MrH87GIYRN0PH*vg z{Mhz^Ns0d*1TH#AfVDMc(8(YE{;FhVajZ^2=~83j0la?G36$sqJx-gT>r*wp5axLG z=d_uu{;ho^dd@!o=sVX9yJ&uh9?y~<^Zr~PJRj9IB%E^iB+K#{n)9qsTLh%a!OVVd z8DsIl`sn3RB=46G7$3MUJu-m47z-!KS1ki*T0fA(-a~t_P2XptuTO+AFhh`^s8*EF;UL|I;lU$Wf?#-@4xVg2>Jp% z&!Hh;8o&qaZc8Zhe*H1c0RTDWL;p;9 zO%wZYs{lAW`yk2u4;!TY!ByYP9fByQr&;8OSCV6B4^)+*?d><1~x55B=*-Qyu zl;4=28U|2l%>5IJ^2ocbT#~10c|~8iciUDUIjOwZNc`FlV3cMS;P3NxEN8toj&uJm^>fMOVL)-3^vn}-4ZfmN`~&{jUNUtE)x`5DObo9#hM*0d|BGkCt75^Wc%oEujI|QE}O0Ema7kh33vRV6YT>4*6Ymq|D<-aw>}DBeRQ`#zyG5T zm@#XL0W|i1`TlCnxINF_4$;F9ouB7*#(cvLH9WxoBAe-5o{^Gz;&bo5vg+mI{@lGL zY>(5+$K7Q%d0~%*y6A?y@Uau~#y6TN(mmtHnq&j@a`3#nyFWH#T1%6BN>KcB4nn=4 zE#P+3-|}()gS9#6eO}9^JMZoiOTA_}eH1C@IqR=iA9micE{q&mJ>wj#3?8ni>;U}1 zqB{`d<=|o5-J1=#@$ttaGh(}zHhmf9>6=ceHzw3!3`2^X_}7$){bt;^^f(RtsJhZu z8M*(}wJ8q{y=~tn$sJct_J`Hj`~8#=H10iGzo9yJpRN>tLPxjsB}Im`$8V%7;CE>V zBXqqu@t|MxEd>}$k#s?De_mvJ+=SzO*04wJS9r4Ka>E*%J*q(;h`S&jVa}%R07e7k zgP!=X#0~3l`UKYE{4@Pz;-l=z^Yda*eeB8Z@X9Of3wY>io3fj*F$|yrbE>Uk2yYCa zPnQEgCyf`ddF%QxYNT`~*;scz{$x+M_d$Ias(y+%@&@%$PFrkNA13Px`R1kqPx(Lt zaT8strdSbNFMZn5=Yn1sKn2RF7XTD+qwYK|m5Mx4Pq2}NV$&8%GLIDaBzaE+E^d*H z0!=&mBh^}=P^LU|+ujQ>)wvi(#2NUiHTA>9s41Xh^LPbK+XvzizIWSFh|G{;s_gEV zrNqnEhn9F105qKg+dJi?hbzDr{Y8nhhZ5tD@BFWH*Em+-OtF9(XcY3t*!*&sFY(oVl@odJju@(JBQ1U!C z1Ti&om3nbH@+Ra0E}Kx!0M{{WzpfOatKO)9tbH4cbzR`rv)q1RDz!@AY>WDyCW`PfDo=@w9R)slbo z(hf9c3)I^@a%a^m0HzA8jQ4=x)c@ubm0;(x$3w^BdlgSndsP@Kuk8ieohBVa+9nwl zII^815Yb5<$;UXwzNhOsj;oaCBBgPE=v*;NFH7nljFrvW104Eh38w>#DkFhcEfDbg zMkT`DuiQBUu(+{RHzlb))afeu2*`|eA?LNkiC!dI2Mo3XNY;QOJ(%*}v|eZ#y}Q8D z0Is7BSR2^~KmvQOT>6;lw5(rI1~uplv^-SpZ3z3j#1Y3712HE36uD#`!ucBYfH^^( z`qgfLpY8XnVlT#r{^gD0s}qa$i2c-Wjgk+=Eid>q$a4FA!qJMIxF(PCC4h5i-AUug zrZ(SVo5Sj*$~>kN*C~`YeIaFy@%W=l(dYqv?y3dXSbO&8Rd&O=(t!Y=jp}of`dNv{ zBkaRQU+5k?3K(Vbxg0u+bs^T#s`UHmAZ|M|ks%w5F* z>Q#|~LfLLocg$Jpjy_WN|Lym#hyK{KSq3Y!)#CZWmB9fw4G>_3&8<|?RG*Xbi2C(% z`e(460Tec{TXfZ4nVGMR-RI`56dNBCm%j7K7oPhH^tXe+iodeZ_>6gtE z*e5c5o^kjTyW$Y=&)4<5Kjn4q=cn4$zc6B+FZL2T>21W2aPYh1A>&W3e%`M6X2L`V zU)G}lu>8o|*E2CA05r{S5d-M|XYV}#>?+Fs|FbQ-=?R1q0%;I>?;yTb#EPh>G^HaT zDAgdLcaS284Jk@f?5_eA5GkTm=^avm5K02+*>?Zm&ok$_ckbD9%WgKv&;L7+ojd1D zedd||J>LON$iE?GJJJ|7=#Y=TTwj=Agw%SSc;dF9${(qQX16u8VF zKPH|mw7tK<1B2vFV&Q^ujBCb!{r7N4!aLUzeq-Dn+i$$xE=Hwx>z8Oh2Z<@f>m-B< ze@6@ZinK%ISlAq7iM2Jax z*i>TjsOqo@5N(^!vS8-mkcE#QxMH{-P%D7|AACab!vM^+Sg=f=VNt`EY?>FQnI)fqylzrmKHTF9Pyvwl z8*f)^W*I<9gZNL-d)J9;{xDk~o}}QgG!u;dfGW{{1Auzwa_l??Q08OkYG7>%pw9r5 zb7|*9l=DbgE!GdO-5uLoqeD-|Y*)Y=Aot2?6{D$# z0rW5W-~jf>tZ@d=U*GFYrlc zfl^GyURa+tS$nXtIHG@(F9R@EGSq~-?H~$WQ(NJ{<+GZ%auqGIKSO)*Ks-Wfo%@mF(`R+a%&MNHNc zJMV#-b76k`n^)|*?(qVC!IlQtaf|haBztOY0x*;L-O2)h_Qe0i?#{J>0#Q+M>_3$sP=|Riv=TsipJKazhTt~>J5^{ij6rd8ozl*P*VVkIo zqm%aweIMbFL7ol(%s_|m&xTQ+ne$eAa=Adk@1`M7ac9)6HW5tv75ne~gpJ z-6t-%(L2*`In1rso9F`sbdl%t)OYvQ0My3(LwhB6q#xfcz~9}$fm3O>&-*fx zIbgRj$yoI%unS+MHfTDjKiKZi=Zl+88k&6hV1=ja1A zjH}K7N;@$<(ep}%x2Tx3fYLAHZJpInIQx_QschO??KYDM4 zECwk5!G=2hxE+qjHkn8$w$_rK(ibD!t;Axzw$??AU2kc>;liKJ2oXi`AG7Z`12g|k zZRG=EHDylyd+GEWb32lQcOPT^Z`a2sx9ejbX83d3FO#>2TTa{S!|Sn<+n@KR?d6~@*yk&< z;Za>G7jr?{j_t87XF0um?}kmiwYIWTrc9^#?$D&9UCiaCiD~(~{JpVV{vNNpE8AgD zr`mh=!3HY7WEOu#U8CLT0sTJD^Yf_}RABLa|GJsu0|K@Eev_NP1X>rf7h-27#e#YM z`Zs;=ut>VST^|^!Ykcx4z+HM!!vN+UCxF-Hn=~W?*)lM3mgH&0k>Fgu%o z0qo8BSEMjK^MjyD3RU}k>YsGj7c^Z}c&_#3<~a1FEWRjylW&gOpZC`0#y;vJfH_qT z{l858Htc8Sh|3kFOa55rP=;`}73zJ_l0tINy`9PQS<;3I(+H}5?X^XMBBt3^&H0h9 z?I&?;!T_A610yN*RoZXP$T^cA50|w8EZBYz!(|kIK^f%0p4)Z+xMaii#qIL<`m=LW zrOSAMyo|wE`8Iz_AN{Ag0c*2=wpdG_m!=nzm!=kyMT`Bsj=Yr&`Z8!>Lo#U{eayRd zqdrEYzmxu`UwinGLRAJ(0HB+0++cuC+8H-7zB0RzJSgVS1q*PO(useyslOdJt})qY zy{2T8@M!eGw0H7P{|oag`s?L>_iUwK2LosTfVM7o{*W_05&b+pUa*5a?76*{5M9rx zEE6hkOZp4YaoN0o2~@<{UQeMn2&~#PL;$Tp>+7u)NcDuiqB+RDvV4h7%2Ze;tdrJ7 zOP&*EQ|F?&04@1-qx_Z_Kxu<tCVc?WBGFzXc?lDL?2?HKYDYAg$J+>nVriv6N4k2|L>X);=U4-Ajrq zf6z0Q$+j_)?tk1^^7_Uv6^-hvM_ekGm`WQ300mSQ1__u>Sr6!y`rSs=G5XUkw#UH0 zSV}wmQXJ{k=5{5yK*g$ob&o)&SHNBWBY;=`P?%Ye&kqZ0i>k zq+J`-T+QAE+iGrml~yaBW-+ZA2wH&Kq|jvJ5Y3NqgycC}u$Cc};hY2pL-i7RCs_z& z*uHqCm`0xr{R=YhVN`H{hi#jRS$M;=xUpQ7SV1hs3-8k42M#2s?b9y_P~OnCVba|w zJd1(&5h(vivzkr(^3yGB&r%p{r{$-ir?iWvHhr`@Y%8@ba3!U9nSXR?0^PY}T99e? z61}fb-iB7oYeVZq#Utilfn->}6CZN(+eK`s^f(y&3k#IL=QR0}t{Ss&h4`CC30%Ch zDqJ5k$cvvZG&gH*yWn8~f1g$ts)>J@Q7x(-U_EXdvR?Xz`GWdOb&=FFVB}DyQn_O{ z_yf)u!pEN7$)eYPUj+cFJPzDON(27L`@Q^lV>ug`KhiVOw`QQA=pk8bs9nSt}+8EBys1N2}#c&>9I$n_uLpt+yYX@?WE_26l)?&HEmw~96 zZ-$S68cT9kz76!PaB;a~IoJD~au7e|P?8pf=YtQqiVyu|Z)}8a!b$V#?&YyP{bGNb zX4;?U*#E}>s%l&jhW?0yDmo8-QztZ2s~Zwjy|W-^L#vyA=)t>WTrE5~cdrQB*()E{ z=JJ)=WOkFPy*qnl@1`rPKD4C(QDit{SSXn&^~Ypx14B6j=yy`)yBT7{x#;J!GBJb> zpT!rOuE7=y&)(tc_SrfRyij3C2gb?I3Y>*G^~!0++SDVm%!74xUDgrl#?|mu4Q{V?r$prD`0DK-2jl|y6Oy|fV94I!%Poa)%GwPN}nWP zgwi zg}PEs&)i?u-bV-Z+vv)34nU4cfew}Ydm8@U-EK1|hC^~4UWh^In_nJlpyBHTuy|7k zlcd2IgMkT=>y7~}oqf%8d)A+SCP~);x6uyYR2pYx()ggRJ%_#KpJL99fu39)eBiF5 zEh{hTATxXAcYov&IUOqC7HqG8y1y^hN5*vIgH8K>Hw`kn7?xordWrOoz9}}N#gu#4 z7uM8O=S>3JEJ}XDwSAE};4`DOVXxUrFASg;(gS?|w!oG+aFZ8w#Qw?c`VvQdpAMVz zKxeU^O1~Wd3gGOjXiRYbBE?Cjt&$7OmL7nW&iP({A~h#0d`_su4Syg zl&P2j^hg0&06y~N+2lGw4qp~z!D&nHXWd!sSge?u;%80*z)4OC}sP0W=!`}i2?L@jXk56W9&I!V-G+h z42um8u{khA1JT2<=;*1B4gkI3&#xs9Kf}gRFkTO^tBxGjEcU^01-w6Zn=8srJ!FD` zM@R=2$%SHY^7q?nY}i9%1hV{=>cO9T|A5=gZes8QNDL6`Je3FR0voq%M6w`{fvd%c zJg`Sxw_5??PDxHa1ah$IWZ0@Q@5?)sp5b}V)o~{sFy0RR?-3B>PXa_Edm9SM;>(8b z=|1OheNihRz|IKstmQ}ENXHkz#o|h!exOHR023D19bfRX8J2DLUzEFkpdGN=eJf>8 z|IW431w8CDU<3YlOBq?I4;Vl_{xrg3evaO2Y{URcK9#F9A!qoc-Ea+jvEDN8e=ESu zgOxJ`f2$? z4qs07&-#HhUE*PDph@BMzt&m$qx7gE>gy2AIRHZfOu2-4X%x;pW!zZ+DDq?3zy`3o z7Oer;kV`i(lsWoo<_D#EVa_FnF@f@l`r4acOCEn=LGqonAGuQX|E!oVVQk%SBB#Eo zBBb_*wqD8FDRZQ|{|ys&>HXUpo4E;r_~{quE-CME>T~$8hJNFc8)q4#??f@Gas~X= z|EqOYDu3Gksse?*OzNn3enD7u^f>^=CLGls zO!0@k34gTDuwNK|?$%8h*5|r+4^<2n;-im+Wt;x<^dC*rmEEI_Ss8%uHR=cGBPOel zr40duzWBPC#{LLU^f7%n`Rm&Q1E@uhJfidtbO5N%yE9!HV|5SD^-;fKjHAm$? zCz8LvXCs^gRt`QWD`TqtEdCDfryMLsc+JOqvQo-pS?&r3Cf-i$zX1A9{ei}Oz0Wd$ za{W8Ndw_jsX?}yrV*vGMf7Dg-_u5S-1u=k*s=@$TP`{&F08$1}i+Bb7sl@;a^C=9d zSpzth`ClFbD1HH?PC0mdasGGCPo^8=v&RDf^NSw~fbEmg+fe)+;Ba&<2229N2IRfG z2FB(a^kJ_Z8c^*rj8%*YvH75GTllzc3gG!EmrqSj*PJT=K;KC2)1JcaJFjYt$AtOu zuU<(G(Y_mPzAxsK?@zV%Q%_iuh;!=h{;(M%9Zcj!VJ^bFhkyT#hBXmDQ2OOy0<%kp zm<{_O>;0qSQ(m2-t zx%GPRnBASV(Fp_9%cJRmGPOi`<2=RXU(5D1+@HJav5~=If$<)DqL56TmV%ON1Z>qb z9G1Tg*Vo}9V7wJ%s5{o5jQhcaHq%=+(7fz&XM- zA7x-Ix>(qV+wW{oUKOaYQahA4)3Hr9giW$szP`sqoGw?!5XN&GL-f#}_tr+1_JN+Z z{_F;=VxO%zm08j-2B#G$ck0^!sb-^1C4>II`dWALq}Xa_%VuvXPljZB7? zRdf`C-+CE9hY9E8VHOA*b^pUkQ*~x@;P9&KFMFZG#R9tNMvckZ<3(Vgz9JG|(Jy*K z9O0ZIz&kTN6x0zY=ozen+Mwv!Vc|FHeFteUbP3MFiXCda`r zv!I`$jfeRXd2SbI>BVH(JAfE#gDP3~4qR!cq$LG1F~2qtlXT2-1?W@Pm3J=&2vvSg z<@u06Rm7nx>jq*cTwD1}m6-@kz*(CYVu0+>$9G~>H5nMVw1OPcgaClH3IJNr_3K>% zNE;@x*q{|w`Rkfn835`GpiM0+S-%xPP(9d`0==Y8TtDf3*)Q#q9s%-$Q8k}UlIR4gYF#~P8L^Y{IaK-=@~El_ z;?(k)RJsIuE-cnH+KZnucV#_lQj`L#4j3;mo$9A?xbnuXDtjO0p?bQ}gCN^N`z!<0 znQRPHM?P|lWYjQVtN@@pDZ?7bER~W!WF#1uu$1?xJxx;v*xjpa8q^M&+Ey31aZVw}Myi>3%^*=Zr3el%E3Iu5lXRj(dm5br zZFj>qY4WJl&J-7E3>IT=krC6PFaFW4yRlw&p%ZjqR)XSd{ZJeL%Lj~8GhJWti4aD4 zx9739_;(P3o*-Q5+_I^{nLZ(zun)n@o(9ly>(DJE+x4WU18l#UJ!kqC>d9o<`I_|i zK>=R*U^PD;>Zh?~l;YY*ZDLJjwZ+D9`@lne6w)PRuv0gTogHdlOC_>(BT-JWISzB3Vpmk=x8z_B z7PF}PTHbD&Js=;iWAe&8l(W7HQa9g~{?LBy ze8O}(#B6b@ZY|C#k$Tv;?`3|&Tr>__^rtlZ+}Oq@&v%?gNda6D>axi>=RV9`X`dKN zL-X|F{tA!dw9HrU{&@C0RA1d5uCI0(11Md8P>lbxYsmo(Fvd731Ima_prEc8(n&L2 zI`Hh$#y1G}($MN2|NCuc00jX069fCyQdMuKC4aGAeq4Z+Pl{CxLx=U04leI`^qu6D zHjFzxz!#Fu#d^W@-I&XMH7j}X<#>?xoY-sq3GVH60J>Lt1#vk5w4f{Cb&a+* z<--;5T2v@6py4mn!7^s*t4m5(INFoie*pav-#1fG4F{ShT`^Sw^Yd4VvGo2Ek~vIn zn5%D|ZF!)5I0Gn*N2lq~r(ByEU~EV)dwx#Jv;pYw!W(BMI|%r++yAU$asNX=fw>E` z2uS5`4{Q7ZAP9Ky@bo%w2HfA@{YH&YJzqa40L`K$I_y1UqJivQ*TMJM0*Lk1I0GmE z(3=DRt!AveKN{}O|)!K zFUe`YPwN^yfhLGQz5>2aY4k&&^8`KywD!9@-$-Df%QHKR;Sx{>ldITVtn0mf!V*7U zQNLlfg+;P2rWOFSw{h+g^-qimPYW;ufD4vkfabA*ofC#h3;^#p#Vo@{8nQ?49k6X4 z(m&oF{26X!eUW62aRyMHe^uiR*HP0C0hXthJbWelklofuHWZ^9d3OM)hs(PHo-yJ4 zbWE65VNCEml283_?GTk={RhkT6E7|z>vmN#*Vbd|1%R683V#L(bUtPO31VPXha|(; z!1xTni19Y7x2Fq$IBamU0YLo<_T{6c@dD8! zKg`7`v+KXq5C5tL5Z`5XVOp>CFo2TAp&EPERoc|~ANnx%Jo4N^F+y}3n2n8qaD7(o z#aJZ(D0#wU0ifY&`Cou?NA96bD?O&Yd`I&kHvlJgS3eAJ#IC9L7dbZIm!0GvR^N+n zm}zB*Su^_zlBFImymm&yhd1OAcb@GGpy(HDk?t=it7VVSC4iq?olYY;{ww1Q07~88 zQiFl4ETYH(K>L^!pnYQooEv$|{mHe}u-`JzgjF$XXwMvcvRJ0w9Gj+dy1*@g9X^DB zk##2lqWZ!B>hg7lPk=~&5rC8D{9%sDX2O&MC)oV-w_@CSOaM@H*X524xYQXyZv{-N zMKtpi+lWv(h!3X0L)3owjs9Jf(LeMG{X0iYLc9Jcwp;) z^tlDe^|$iXb9LhYP_AW%O_NPI-;lEn8H+!kMbcviNdGa-k;wsI8S3a%tr;+<2#^kw zW+g-WY)0&;tF%8M;0tMS?fDx53m^JLU1RS6(BJC{ zExkiR)od6`zpC{MZRP~EnLPiB!i>k`?!MSx(tHz8?>qsO&$((^k0?T!LwV5?->kCr zm@>cz3$`v}AWO~3>G<)u*bJ}J+Qbd(J6H~@nf-QM!{%Fnv;myu8R`viX>W|n(ZjfV zMcD7xM^v8?<1NNmJyX$OkzQ<8*GCF~>!|N(S~pcQv`g6U-m46t=n4fiOC19r0Bx_e zj*UOp&9I`;UwAt{Ozne@&3bE)NzECVQg&AH#4WSRN#FJDfWQUd{mRC`%SUH`GPCcq?oX%f`byQ~i>lA;duIT>Npp-x_y8!AzsU!N4}c5+dbbW# zGVgK2w0T%M|AWE#yNti7zwI@j+btb`VZij~mF&;TZ+`$lrwR0bz4~(M8GT|-&)lJu zE;qmk*sSv52R*(?dVH4FL`49o_LA^_;z1L{-qn&5vsOIRQAuFIMVhC@MzRPaWZvZE zbT_iG$LagtyNeN6{Dd!;SLuCz{wlwRy{AR>F+lCz<*gFf+z=2?nsHCCo+Z7u28uAx^c+sEvv-(guxx(_Dce;~@|6MTP zBXX%_1`Bhs#ijy2j$`kZ^^)(C2ix=M&nvn8c`cj6W%gLDEvnvO5L~LMOn)*78pENk z)PC%V?quHEoSjsc0(G_0$cAK#&6<+cR%K0C>?jnlfc~<TU3M8OkL#sf4x=J2~%?5#N%SX9Tb{hqiuLc+- zI|R_v72O4k7s*t~CvRKF+4bv%rXf~alC>e) zQ^#AnGF)X{#u_-(GyY0OdLp*K0fQ$Q<6~pYojCmRxyO6ggmGV=L9!fb^>;fX|~= zzQiWmHeyFzi$2!$!1{0%foV#ZGl!B|-7R=beZY%)(BTn8HUU&`0#+tm(cZL@{wS>r6?DtJ>?InwJW5qQ&&Damw3HdWfpz;4+Fyv z-bO^IV~TP6yQ1BtHn8MTiF1acSDob=)x7|#%>&obB6yr|I>U^qRh>*v-}HCXjdZop zuKWq8itgr{P+tQC;%prvHdW~REW~^%DFu?___4f2QM6 z*m{2&Xj5Xxrfo3)@UrmR4L>QjDUxj59+tBbG>Mn&^DyruPx!~5$w^g#%|ko$k-Px> zn!i%C9(}KE=BZ(Akd{Ley-@FxjhbGmBthD-+soLmHVGgSHr;N76SaUud$>cOcwrA20e*WujKaU%VT>PNsoAHnMw?xwZi4S=ep`+ z(+zhH=1#wQx)#F{eg*SkF-yWQi2>;O_JR(p$FF~3&19`rTP^Gax&S~@7My#9d> z1N?cOZ4v8FwthYzrF)_dGXUk)YletLhv&S&PMDI6GNg%!Xd403`un^~J-AQt4nf$X^gDR7XSHPry1`28%bj%vdg+WXD_c&je` zK+o9p;maL1!jKu05e^aUpX3CP;II@l{9XZoas@mrws{PnCWI<~Xy35Yv2 z^)z16@a6v|j^&dZp-f9sra|yYR?x_)UHN__wdhXP7WEU!lC{KE}X=>gxHT z%g3{FrcLGcPzgt=A$0X!`!6s@qSdb!*qQrvlkkA257yt1za+RM;+gdwi8_mOKCt z^}qTmefz3ToCCE^=?jaYa6lXK95CM&31Wu{`~rPz8FLw{Cz$4S3kA7T^&DN*X~{}&<*uKI5u7ZUSg9DOgw|znv-vf z-3wLiO^3VG$1E@dG+UWWi>HJgrNa&hBYF?Ly$Br35|E6{vr_cKn4@?1|F$1Xb z#n;$~)fqsI%}&>_GJnxy8-rnlWh`d>v|C31?w9@%{|8h3qd!0U>S+p3;lmuqHW?Vt zY5Yph^F3U^kdp=a!2CiVC_JPO6LcsI6E0KRQ9Pu-iJ0=X+hln1n8wZrpJx0lBu4;R5&#q+ z_;3C;$Jm4!L#WT+-7&}HM0t@H{`c5rb+H`}P1!!_`^9`G;8&Ibw9Od7m9E|sF4(d# z%Fphar;*RM^pV(iZe7M{CzP#kJoMY(9`{;l-vBOdZUSMo0} zPcfkV_{g>^CA(-0E;4{duU(t`k-KZzI|!ipxeu>m8-xbvRs^0)w`t0>SE_>M9^5$D zm~*#&WX#9aUbfZ8gaH7GE>pv1S=0OGUSn$lf-_MTo!@8t$uRO4U#34c*G(CFiVc?y z$th*^ko8&JeUkPQiU3f?p9+TSu0N?U7xUt*CCN|HIV_!z;g{}Knn4;Qq#Kk5X@(eJ z_|NaU-uGl5?UOyT<9Y72)@MD6hHk*1fpwCb?OWmE>b`Hj-v5--Q!%F)obu~J>PErm zwzIph91`rj=IV}LK?Qd^t4dc^KW$802NX#X0phV-iOI@*{4-1!kKmCdNrK07!65Jx zKd{f>v|L2mZ4|I}Vv#r{hRI^P+n$N9Z9MkXFOBGpwJsTYd09`@eB#^E%bpEXa2wdF zBe0Rf`seVqHi^oS+72+OFMln1&pP82aC*MJ)8})u;K=hcvImZNF>dFze?&iq$R>P)^4Rl1bb3|kMZHa(vzUT@uqL$bM50ooQk zRG!0h)7e+XiJYUp+5QhFCvhh2`8nrh zoWBM~l(Z%ziQHe9K5;JHGsom4tFtzjX-btoa_xkppH)9}GDN5O?Jv{&9mJ}enB~Kd zaGAEoMI038bNjK2zC8wr@4xu7s$#mx>t@qAkla0#n$R|y+P;`_4n-ELiXgD5nE#=Z zuu(Y{_&Qp>J#Lw}6%Up`iuUhS-ix}C6<4jzyJqrm4ys?H-vRz+cE>;=J)1JqB;Rn& z4}!u^=(BuEj0aIjlaBR$rul4=MUR!{^wEb!LOTbp)C!h)IpAZ>#H!4o?fU!t1LA|a zTe}ne37*r~?}v8lX6T$&JR}N0Fh4YsbCVv(8IkABD>vfs#5Wi@p5$CwvrPSGdXVA46$HERG1xXpU(3O-tur9N2BW~s6sl~U zx5#C#=@Zei)~t{3w8;Hb;dQVY#u02M?ERZ?v&jQiIRfw>2oaOrR>c_EtiFfW5Rw5o zCQ$86RlT%dM>EegvpU5M1<@jj!wRUl7t-S-@#wA9CY|0R3ONTeCpsqok(8BzSD>Sj z_{AcoPZ+b#^M(X4L&s>MwfU!M1&~l?H^rS<+RQ7gDG-ydIztOZ zvBt0wf9@L$f1}$&Ua}sV!gPs585`2eJ(vdgd6D@Wx9E+?jg+##`YeTDy=FbzeX^`p z1Fru#oY1)njlGCqRODJcL)68&^%>!RJhB_37`k4?=g5EbUJLG)R(EkUGg45)ZY8iCPmqp7Cky?Ir0p|(I!m6Xss|zB=Tp~V-XRi4HkL0Zyp0u( zU42sMPiKb!$7evT;M9N626VDI*c8K$E?%U@?m)1SeF6Kkp7M=lz49!xxpXSol@HFG zK|*oi!P8+zU=G^sPe~NZpP6T~vlrdxM#!`{pTf}yw0i1GP4tMTT0y!RFMos0W-KWQ z<8$(+v3FXg&MW^;9Cc`JK&yRxg8E=8I^HIFNwo@;`q-D?51JIi{;t!=Ym->LM;-aq z_4G%66A}`C*e7jD3>?)h_ponZ#!zx4#=Cb5AB$xczWbFY9h?9i$up-0<~tvJX8GKe zFm;VmLk(uha-G|`r#vl|no^Fm0(C1SNIt|jqNTHP$2Qr-LrQ*{PnA)OeMSDQymrmA z^C>^kc><)X<|F{5H0Npct!{%DtI-!eJ}F0Ssb=rc9nMWch=e=m9Q+kItNcdX=kc$p z?cehL+D`OkgJBzsW+YMhAmEr8#Yrack)fG?X4sEFXViIG5m!3!%!lL(lRj6bZ{hB{ zEVSCsnP$2Pl?*o-pAsp`m7o$PpSVcFnkenHn&`BTYUpuv&~@$~xlB+Og)L+K)0wVE?J>&J=y45_{C%i7)TT#PZm^B(0g6-zhc3L?~#v0=Mj-vrwZi9pmCk$*oFGH!0e-0jzGLbnaa`W$_wS;q@J6HwsD^mzV`w7ra^Ji zJj2{5qprIhJsPJ?6Tdj-^+dks^=-of)m#SMe^r~&H$VKk^TliXzTg&NIxksOm)r-1 zOP}~>#X#Wx4-$G5qWA}??V$*~j?i|Lv7>m{qc`Q`Dprv&BQ^)I$(MQE|0yOS!|j;< z!hMhFGED@+{&{=4NZ%gA{XpnPXQlDZLWI=QR0fk4iHnTqNz05&QPBUq+xHys9i0ixFri-)-J&2SnjBfD{fO8vljVm+>DNvT3~5wm{)*Jh4; zt@q>@YyA7|Xs2xot`l~Y8rFWLsPHF+-^%Y zGTyj&4t)K@X%`V@*$V(Bufr<@0f^ncfqb87Zu5qTNML;nl>U;^hq=u7T+=la2oMMe z)QKNzxfr876@D@M9y^4l%d@IB8EkdYrlmK2!pMjRSOD=)OeC*KzfpSQTtAxiRJWR# zMF?hW9G^%3R)hK?_7(MD*ab^hN`JO)3SxkGAYm_>Fro3gJa$g=Z~WGNiq*={<%K^T zbrs!w@wiag-x|Lvuw%IG?3)f2Vl3k-Z2o%ZfztT+0)Fnt+_ezBv=Ex0X^x$?7(Vhd zuT2&o1_SP4NymV?{?|H+qGY9k?AI2LZ|`%cEzlV`ICDoVk{w5=>Te4tBZGVS;{NgT z1IMz4fdomwjN5W4hBUK@J3ss zdL-TlD{9wi9hNWXGZ6iQBNhz`v(#b(h$E^WM7IX?gj~%-OBhIHZz0#PBd#V*7c6jz%CX`8@-Sk z=pT{FF(i2Zq$mo61?B~N$~CCO@#77SysrCd8+u@5{&8msH@2Xvyue>WImD-4;CV0R zH1n?#G^JnBME^`qt~J9@raQJt0CQH5jc_oXt(72cjP?*Y9|qvz4<7wqOLsvMs33))L8UpbPb48WWiT7I8p`NL33(5*>z$|rv zb*{&_2+1rw0U&Ooc3J!+>EKqw$`^6e5bC{W>|2EApu$fos4WhNp`jk@R>3{9Y$de> z{0n_bO1O_|Oscz25luI#IZ0~b{=nPlfwb<%sd#H}OWF?Pm^!$vWLDo+cJGnfO)-dZ zs&)PNYv1}O4LadAyvyv@XyqsDDtoWF+XYPVpD;$e#bCXLACF19@2)1HUTeYk(DQ2$ z7GvR98b!#?pZ40X#CYZn4+%iQQMD-B-DufQV~XpQ1#@sbK_SJq&oa4IDsv98h4~wA ztf?y0^{u=$f@UEF_E&H-GqQY4*5&YK1--xcem&#^R=!9$q3ynz1)sMzY@DNa={Ht$ zwrvNxtnN^GAB%?v@}=D^Iiw3)c%dErb~tds@T&|X0H%V&POoRGjZtxou#hBxVOJ&t zzczcl$Rt3*BFw;QV*VMrlWDN2E)daC&JCwT$qao&xd|kTMu2+DpPAos z+f=)5&35tHtXJSbSX%yGCwBj?9<0D?NAMEgJnwwZB|&Pas*BGrRC9|MMFk^JPNsqd zq6Qt?G{Cm$0bOD3`HBaeUHTX^s6v>0k?i$HNzUY~P*H5A{m*B7y z;iLLV`GPwDi$XQOBj#wVfWCnem=Xp-;K{IrrUwt%Aioy9(T9bg4X%%RR+AD`kgZIF zi8Y|}hqBKf{9DR(_+)OzJqz&eeITvzrcKuIYUq&CZjDcv~#HtK3 zg9X?eAK@NIY>}TdMkMTa$(}Q~r()XK-aO3k{!BdZs%>ty**Vfd&Uj8!ba6jhUz2d| zYV!SpI6ap{<^H_;lfwM$j#;|srZ~D_T8BxZu}${2k3D*8)*(>n;6FWo(OV4nrAEG? zQ>AW`35EicS*nzXTeZl-mw&)?JHSJp5)3k-+vEdQg^S+-0V4@5<9%R ze8>%ooa*&l>rH_iik+N6tr3-(KX}UXgR+=9?Q72yLkgWor(c_;|E;=OmF8ITK68tD zIMgGcl9pi1WZN($MoEbQ!iDrO;wyA~O5sUY0+IV?c;il{SaafQ2+O>4*!!P^(8?F0Ndnu!XVj? z{)2hH8SW+UH)dyZXNYA|SW4KaXD8JwSrHkaS}?31K{pI0Xbz5EPZc#dJ+cLMoSQsR zR4_Z)Pn=wH`JZcpvC7G&Gjs$;%Nn#3N%<5OkTmvc^w!A=iJtmp#f6S(XbIG>&B`PN zT^5FxEcfv@C$;53#Vs{fh4p~I-vDQC$r7iZxmaX>s^{qm3M< zE1Iz19KJcgyM@nWE+MoV-ugJrtq|ip2=#4ivey|;t_qq9@mnQka?gwHysft?)yP%$ z;UQKhXZcm~n(W6SaSh`kMEi z!S5vBWuQsBNO|WuPx?a!0XAp>EEcUH(hOg%soan(;G&g|84B zEo*7o#_##l#9RT&=;(HscY(hP5!mLd;`Sd~FlB4c%Qg09RHk`9aC@eXst34`WHon~ z1f3tJ$WR{XkLK9173-@yw$Zd|Z)Jolb!4y?5Pw3U8FDDgUX}W$ zF;4CZd53bSm%v~u2`Mpy&vW%sDQUGZHOb{Wsv?j!m5`Mt_*ZFeUeg^s6URC0Vi%?{ zFE$mnHq+8SUu5N`7uhK`2a>4#C8Q+Zm3atPN#J1M^|=E;m2~l?5w2Q*wi#MgIZ%jO zxEvesN;O>rhRApZo^Kn2B$Qp1aU^Zyh62y?u0Mx^w8_<=!)#J$Q!JLKCW7x>zY*Fm zcL=c6OAV6|pz$KXG>muonr$+oRzC*++=XecE7_@QSaO`QB^a!f|EuB*I>b)H@-oOs zF5X5ccK&iwp`3kM>=X_>MLI60px@(17t4PBDFqJoVe@Q%y-O?%&gc=(t%%MGX-r}Y zc!}*=VRI~h^XEWBLG@o%!v<55FxUgaqVlZ39v8`Om%mb=*SJ)N4}Qt66&vNhv|*9B zfAJ@vaL3Cjx0S>*p=J-DK#2zG+kyQtE4-r^(99WTx*ePPbY*#^Xf)|u9ZSOrgfdI}f?IMrb!(r=R zB|89)jiNz@5q%+!x3$BkG!(e%YDQSNyVRu8X)VjNvS>5POy z)DR!%xj2y;4OQ5L8hC_jjT({*5+^QqbuwVH}4!*77#lj!2Nsn@~%yZvCy+YwWOLx<2U*(WqLNoh{hu z>=g+g5#>xYtX_1#sxB}(sou+;q)8bRKm zj9)Ym-i-_%K55vOjkg$7s5rcT6ux`w$)fZUqfbZD^C`!2Dsg}Z^+Dd96In?e!&oM~ z#9$%&2DU4Tl;AKjZ{5SY4oU!}2?u>z=GpZ=;DuFGOX~qK-R0N5cXg&bLF27M;pC~! zTxZFx#M9|z%GKh|zhHQ0msD`CE8;7UjhS#a1}7(jk0IW(Xwbm0?cW`5C$XjutbV3} z?Um)n)|o@<6W$-7i%ADbW0@rlero!U-{K~zI;T^OKqu?Sn{C1e74Z`gJB@}>#e%W% zE^=euER1MT(v|05Y)wg>^Gv#jJP!F_zK9GS+?3511<0WDI_!`*emAo$G%c*+f+OI8 zzsoM77lDgrOR#gz58?wywP#VC>GJ}!N2ng$8wh-4ul!$DQ2*xDTYmIFsdPJV$BlkC zqf9Oq5IB;6P*k&6nN9lY<8K~oS{{ssycoAb=*15Wxz(B_+6|3o=yf+o~g5(r(UDZ-~!D0qQyi7R$r0|IodCdm&LNuw(E z{Fs6A1v%8Ar_Lr!)e3npbnRus{+P`DRU6AY_w#cf%c!wKH_&ybRJ$jgZPy45DS(D< zjZr@+j{9Y0(sS^?&I{AxBqu%qQU!89BSnXJ@Yb<+psi!>BukR`$+tAp+nqRmkrr0ATuC9KQp7 z1$|4s9f`6w610gB+l{*3Mp2{(D;CC`s2}b>V;Tf zapYMft4-|*wdD_u%Z%V2=I5 z(C8lu5#pn{>>am}T6mKrr>1_*Hy&d-xPUS$IrG@*f}k%)t2OY*2@6+9zZ!^+4zGA}=a)R?g5^oeqnpPwOTK>lHs^Po89u=SwF*3Q+u7L-B)?C=e9ZT`9cY_wDIYO;7k4|wSzXaa@pXKkRtOyY_p|H> zyV;D;A2f@u3gS<^vvStGWGN==WwdNpz5I+TO_+^@%xY%2SHH1EN*+G5O03EKtGIJb z25DQRUT6tOJT3%=MeZ(Fx4Au!<6J1r%zYG8NT4 z&#P@?Hp?;Xvvopl5kzB}%fdSD6{}Y=h8|Ki4i;MYwt{dI*vE(uW%jLfXB&{yOdmaj zZ=xECIxK>6OwCSg&9JbP=C56EhiM^BC7!K4ek&h_TE8d33u$*BgY9j%en|aeT{#*k z^73P*jnuz-8E=Kh4B|`3BrbZgpKWM#0NZUfG zIsM||H&6C*TlmM_xzr(jwa3;CN8w{4lLqv?SteA*#Q@xG6#4kVs=ma-;+4LB!kDBu zPEzVp9eK*zC(zVTXZFoMFwv@rVGsL~wN<)WJB6B%aV^8(T0=sZH^$NwYg;F^lD!<1 z>WkWWK)~~Xz5EYCv`e&%+TUv`UQQPGE}k$(?CY3F{Z^a6v?vYH@yvxQz6fyQ0sq#` zpw|npQ%O||J*>lw*s)cSiZw*@O_t!|jp^_`m3_E{_ zt3TxkAx>+EvD%-Cv{ng+4Am}uiKpxB?ymfT=P9!({zFR5#R^A9KNhzBrXbTp*tEKE zF^oo}CH7ajla!WA0VkGvgQ;RpMctxiHEJ17)A>1iZJEo+quKgW>JLlQ=fouii$Ca% z*-t5P@fvc@dZffuMTr{bH0a@;`J5Ib_5+3H%X$&X(^=c^zs?BhB?;az|4_=hPHQf!?v$I~+`Qzh*1+t7~cLrYH5)S!x%gxucR03~~3IOp*zU_WrTpj%#rui1|? z1u4&xhhIR_@OMU9SYlLB(&kIuv=a^AG*DO%75+ZOH#>|m5n<9~q*vg_9rXIZaREEY zGW8SgoHe$+GHmE0@MDy#0nTS!xAw;RZF@?I=L4H(T|N5 z``BE0w<>pTb8%E+_;GDHhWB0+dTqpB8muXtg_^Kh6?9$Ic0ioMyTjV*h@$01{%dU=ld_#Zt^{W8zI=C*}J zlgsP(tQbEoDmuR_+{|TW8#1AF+PN@z);vrP&55X1sYj(12$%WKeZWUM0j)=nH-Gyk zl#cCC7D8Yyd+>e=AI{(Qh=b&RdHYQ10G9l=;ul&EN5sF}hWVy8SL62w&fh}Xy>CN> zwo5K(dtULxU*JZ!1w>z&+YE63Ey>WB7KKxa>-7MsJU;7f%D)Oy%39)7;WbyE=X>1-kR`AqjT=ur)b#bv<240YUd$;J0yhtq*x z|Mx8{DFIKq2M^tT<<)`LZ7bWayr1F|ZoCcZ)*w);hu?4ADpU15P;}=GE5qJl|rF?7_B{G(DnJiwGqaA{vYzHstgwx1qDo9 zruz8oaxfK&silDNpy$8hWhs&tBJNiNEHhpaqgH8X9PbHO@+$h4<3f2z;;=-LhFmDz zH;{+^B_kMYSpYEi6OCE7n}Z+v-4Qcv-2$!OJ_Q5)Z-t)f%q~E>oPXfVb4Pb}@H+!m z<;J5l(V-eqp8c*dsWx#{cLCGV_EHslJ54G}oxv{|OtD29Py01k#o5`RAp0wP=0MEe z=J}Ub8_Rai&j7{!F$|g@1?=?~dL_5+ZjINQ+Yr#yExq*{nH~phg~oNmh?Ke`JSBoZ zF+)424Xr`E^p>ufjVMq(_K*5(EG_x&tK_*@#@eT@dqVUVrMxx)%HMk41U$j|`|n}S z3KAGz2vlug8{X0x5Al_JFx?rrV?m#jv{AB$&B;V5^P@}Kbbi&bRUc&um+H^L$|~w~ zH=z4UC)H=sF@%z{R+0wDE~_ADXfrINg%(mBLKi{Mp8z6~N^|0Q&=;xG8kI}&n=@c^ z2k*Gx0P6D%*4B@H>lHlO%4V0nB>V5>zTgGs>{lT-eE%zGtvg}rmq_b15A@VE@3jjy z{>|0i)<-0HdC_>oQ^mYe{K$5S z!mWj{&hg3?_N|;0vuait`=2u?k6Cg7Moj>2)9yzeRVn^dOM@(#pwNYoo6zVnnp&1RRz zZnAHZI7Sz3_Cu{`b$JJ0AT$XC{@0K(dD&_@snbOf?s)-T7&FZd#KgFj(=XQy3qTdd z$Hat}8vh8*q^dQ@YPg&D4=bdZcd1!grmOew=WsZgFswUE5l~O6dXB2KUue9cD72}9 zM=eLat|zxNSF>!25vItUlm(_vogO4jA@YmNlumSS6gIi+fD*F~T`LW`<(=FX-b9p5 z2Wq=9O0TJG1WmM6C#f6|?sq47N!C@+9+v%~5Q6F}ZJ2bBMI;WSXqU`CrbxOew4 zK|$EUB7ieXD8OQ7=cqcW4_|p}DgtxV?~D?n6!ZKzD&VQ#6fS2`SVCibviPb`f6HMx zh;TdJg6qM8YgH40-SH<<%b|2Dk@9J*GRlb0&t}@f5YPok21Fu5`#t|Hldo#5< z=pL#jTOo@dZ4g{@j^~w(a6%j_Mm7_Z!%&SqbriI=Tz08d53LEElW&||Qr}*(ToGLs z?iz|bwp^r7Rft?3oujv-iw_t|-`nYy^$)Ew$S5(P5{U^543=Q#-$-QXwMG(1+kKL0 z88*g$AMDs{VlioKGrGe|jeqza6rh(D9+T$#oYuOnX>nhdddc!QL^ZO8yhk1_psfPs zf`u>hVdt@vP+cJBT)a}SXR2})hK`12`cFVWf|+gT5J6!X?y#y+Nn*nzWVRjm`6NHq zzBWsFP+i#auALBN39>9$&B~iA?dzMsOPsT8bcjWjI15dfIW21b02D4bJXF}SJu~Ql zfeI18xA|KX^6e@ioyw`I)D2L^@`01IU?MsdY-WS*cEf*Vw5>bvmM`#li ziYKcVb`M3K`$S%BwE=!2>shqmYn$-XnOrm1DZ{G+2mBf-ye$Zo7fw&vI{o~|hg$}MLZJt{Ew4K=Y6#~i@PA3*#5K3z3yJZ(6(LCy;w?lB zwp#N!@+K#V3f=zm*^)P>0Cb)jCH%YmcUrriZ{8M=!MK&tdk-v&Ld_qFAXmSstW8n zT}K9&_+R8lg*b&PW(r3W)^ld_=RLB-)W%9PgP^V~y1m>Yq(z!uZwf5y*ll6#^JSxd z4*I|E4L!DX{16V{-&J^Dlx8kgH7IVt9(sj}i4cwyCHXPe?Z-M*mSlidzn^~~9Qo9c zppctU4#ZIBX0n3QFNVA_!RJG+VTpt|B|3NJgj;uP-`{SN4vKrv@&mI^B$oeh50Vs*)j(dxseWuFt509e>o;u`^vOt=la1vQ>I(x zj-NT~>(J7l0DX*43-a#`99c~hSWEn87Bp@zycO{^` zH=Lh|;hLU(tAqJQ9U0DU6Gy7Hj`&X3bm8&MB_;~4+libTtg1K*J;W3*XaGzm3P?HP zu?|}-m9?OP2w2mGt^BbBnCU;hC~)1e8?1hJv4~2~2lJVc@eFMiT-1p-zMz(>ePLiF z#82yFaI_~Im~aKpG}8#+Y#rCy28--f2ID9_+0Svj{aP0FMxl3W@8+*)n5tN2=YMvh z^m#NYGDg>Uw{OJRkx{E?l)k*3W)Nmc*NKt00_g9tNJvP^`9~BM=b!D^{7q zijbl*I2-ti%95#CkYP{~1j)tP=Td=54E}xR7X{I7FEuS(;0c#Pm!F(bm(|kc$ELZo zj;?;F8(n9?n)-k$!C3m%<;2c`P`Ve0(Eqa2c+ieQH>IZ=5no!zoswYfPO^ZmfJ32} z1~T_=;UgHz$C{FFF#+xo0)t`T9hp~gI1gbn1;bDnJqmG1gx24H?eG|d@VcS~Hh=1c zxjJA{XMPqo5X1vwmBs6JBL)>@ywNv3DqyviX@n4guxBf`nQ8GFUd7P1mnt9ApPTFd z+|~}sI4p(v{4u^GnwkW1hIzQX=<=R2=nNxW^P36RARbj#U!;*&F7^9M30SpKe`=50eOM zqgUXm+izL|(D?)15njC*;$=;9_vAl-rm6~i$r%*6p!wnZSbnN$`M9Fw-7(|#Gm;We zO9>?={58}WA1z!_iCpypqaG)#QR|+BFKqf|vEz&Fo!M12vjeptJ2hXh(fC?FPmH8| zy1Ef<(y`o#$tEhA;5U{!J$#I>ARSI#`^;8jMr#_t!?qK$`*?;QR>?Qd{Q z;oiB^^wGFPPvO!L4eDy~z2wEyl}@wHwYtHIIqcHAnO8xKQi45OvdaDvdbO()W?UQl zsr#d(%2QhOI#fd=1ORr-8al}@%1N-a!R9s?*ICyb1 zZaE+hlIxa41UHY3!L zULmk!wP(G@iq&i1fhv>Ar9oCr4Bu4gB?t+8a$Csxa>ok$-CP+5cGZ09x7+hlj1tYC zg*h%vYlL!z#&HIk_KkN&de&o4!=&z5iTl;^^z{nu#FGZ*jDCE)={a~|&ise^sOq@w z>g;_$|G?ysjUVsRv$x94eVgX@y3^p(x{+c+)XVy{U2s!E^^?5oMn}vCxKpDgh z-YoICoeC;xUcb+#g0)Z9X@vtAy2!}Ao6p=olkA8=wK&<2oa+4B;R6o1fMe2eQWNy=Cdnfz9G>2wk2d_) zwXR{%djEWLff~|f+DK4{q{|HsR=n$lZ3cWM3NXtm!OdRnl=CgvT2`PRzR2~Spvc9H z+M~Mhn?^E|aGbC5e3k({~yLluNwN)5C_eM|EWAX z8sO5wHQx8oX{zXLEo}tU!_3A?A3$d`2)5HiGzcv(u|q$~UTiZRkPrOcCciAN#pqG}<+@*& zOXxj*7v7Qh{oyVPLO+OF===HNH3sTJM~?>P$snIB1XKzTG4{%>0`#QfC@+vf0xsWc zM3%d&Aj>8%F`!s$6596tB|hytiO1~F%G2HlU1jm5P|~Gi&b)0B$~7AcXf3Gv?vI

O`QM%=5rccrF1b({-!zvgWrj(}t6v6tn< z=&VyRNKmEjIXc@TMd;|y$`^)^`<>l$R&kS`c@rHy)ue(iDj^HZ#bQpY^qD<6)EHobdu+BU~GP4 z*JSM-Qj!(xdtR{}@V)v;mD0z!=E1K)8Wm=7jsXeUnm2it>~N31XpJK%R19K)rw4#L zK;frFZ7)#&fEN0?K(d95^kY%Ti-hRPV!7ZldhuQ=LqgP4-+=H58EOTWxmTj(-@lMu znB?01@#?gBjg8((s$zWMKe}NL65HyWlr^_m-;7DrpWKFSiyqp)7v@c zS?ASzjjE19L5bMTv+Ey`pL05;Uo1Zl(lhq-7BC z{Dy3!iG49~l>FfSneOu0Mt?(syrb+n2(rr3{!x4)jGz8*+4_H15%a~9MK`SApW;6Z zLL#z^;2QYw)|a5djV=pa44`C?Hf1u*n%t_QWpus(zb?<=2&x(IpmKIvi}WYPabLNz zYMluqsQQ6nCMYq3&UlP6dj-J-Q(uQjI8sTr62N0SrRw3)+kGq5){l1q2>buIdMasi zlPkrFC$_yz2=0w!h0r{Uv!%0dW4;@43fMQ z$JK)opYkIg6n;hVbzYkT+_Ku|3wLrgR;Os_`_r*Ve+#|BDqhHG8Q;@>ktjQT7%Fer z6}L|k0+Thn?%W0Im4G)f?lQN7suw?703}3KHQye@5HJAYX_!>v|JNS`JIT&?dX?VO z>3hiAmsb9;gUTyzZAL^h-58GTX55C#L$A#?bdl#JL+_---+@_!wUBq}n2ZyC#d~s& zV9QU}PJC)kPn&vZ{Y5k1b@jecJ*mUHvzW;IVnE)yX8*C_dqwJ-XS)d?cjt;wUDqfS zX)j<%p;NoXc<>zjfe#s~7G&7+E7lqqSIP~=uO~R-9xNs$qI0{PH@Z4M?P16*;7slG zcjSk*=LhNkkGeRs?{t5D=E}qbk@dy-C==O0&PV6({)qryae%-j?6v-J!*lhc}CQmQ3BeQSq(IV)p zsniQM!_{J}5J+OcW66ER!Y<80(9>Lc=eg~%uXRZJcJtc2$_OG=|5Rhye9`FjRJD|U zrt>7Jo>;quDiGufq<<=#JN(>+bh6Y9zKS_PwUHdojB9Yl@dwX*K>yw_6vqw%M;KGt zaUMH;B6)oJv8Y%1uN9N#^`2L_TSMtl28YoqYH4jRCd{HK7Wq!68)!2n* zR95UT`i{W@Npsyjwrzgua>Q!zpTqrXfaTLy6Zzf!LpUaW$x4Y;Nh{7ZZCe6W?a_va zBN@8g)Yu~Ff%t>I-^IVnJLeyOh{fHSB0}PQEA=vV05hFHL0M4)YyP1Ci{`Z`C-tbL zx^i2Q_rseH&c#)=%Y^~lL1UGf+63u8cO`G|t};(18Vn}2x(2B@a<4Kvk(rgi6bP-X zg=j-l31YHT^Al}zvmib9qg_1fQPThT00k}(oj7lo)9H#)Wdg&?v<7D9+7w|HQBX92 zb!n_1(@WCuFaKyf{|b;8bo`CwRJ&9IywF8v;XO`qY*)U_C0%`gxn3nG9tbukzRsA! z;a!?`&SQhkt3!00pEZCGmBhzJI7Ir{wOfm{UX}1`w z%}3n@IE)e$pVH$;9e;fSq)I3sgwMc?2HsP!e(22Aq<3Q=y+}(f59H)}kd0;{?A=Nu zkG>83Pww4I7oD(@e5KSx*-4gT{Ct5;mg#brDONG6MFt(I!H-p~_Wc=tbNoKm0kxV) z%XiusVp7snQ{3=p;fL~8RRsrs$0xWCz%i-_^&>q0EFBAt;}gJ&Bpny{ex;b8u0Zr9 zvA1<}NCjr!5WQ6goB*$l-LR_Q^ichEIP{&WGmv04eBDR-hSN~&68o; zTt!}7ZZ;YjqVJ^8^^=2XvdAga=LLhV z6sr2Mo?XD*b~vwiUzqKSF6@V1#yOD_|EG{%w+`Y$BcWj{WloCP8zzEfE<~(Y`3x*C z_>lY}Kd18Scux?Z)NiP03RJddGr@M-7F6}R6)!wQL)^!njkuzz1>_8;b*c-)%7;e? z2@0Nq-vJuzDR4I$*&Zf7l0f+8%w_7v0pw%*p{5u>Hx;CY9aPY4dhYcL#gjIfeCS73 zbw%w=)#)Hpsrr$@8%Ah{k%5+c-KJcu#x82XL7~p@XppyIPVJB?i;U#x{p&D88rI65 zNd#{j?;A_{s-#@Z<~G_v@dJD-v=PIeLP@mjMcY^8>eYmg%{k0ru7OX;dQ=HVHETUD z5Qp!U^({Jsw|fU4JlgAXV@D_O+Z+4KTZBSKhJ7_y6kdp%F~*5$SgIz(--@Fd6n#Zn zxb%wu$kKjA@5#gWf(*%&iVf@tx$HT$Q&67aMxG7YvkEsM`3wO2mN$gTr9Y#1fA(3< zLf`FUl4@Z_e)i*T2_iTVnc)X*hO8z@Rr7=DcYjRtzd(&xVTe9#45G?SY6LbZcL<5I zn=3F8=3bRt+B5+io=*MuyT~xrEjA`Pf{x(sBcVsdAO}%a$g^L)uc3_4vSOjTdtQT$ zpYOkZcb^7r)vOc#sy!ky8C#14k)O5F{w)_|StQ?|zh3i`1e&kD-}C?kKmXh3#`V<% z9{Ft-$<7m7WFQFuKO)wEJ5zOV@J;--7FP_@fj2aMeQW1ROKU&rqkxN~jrkDs zaW1s#z2-;fKvqxQ_5ItXM%l$7EZzZe`wrq%SUH(5<3Bw+Q_=D1vatQ* z-cyIepeVc#n{|zaW`%;+yLWzA>Ifu?LDVPZMJJ*)-93T|iJ%nsZn+=fVQC#fVSK6`-hPri zpla$j=6tl!Q!X^{0S$w9Itr&WZnRIMQcqtZdjXhFkTQPjnS>H-s39Y-t%e&8^mXDe zuj+YGg!#JZC?LRADCCXTCrAm>V<_*C(p+)p40#)ZZp8Tq;4>>tYVI_BWr-f(X+laH zBb%o||8o6or%m|XOyDabx6B9M8Fb)~7h#U>Du%wq$pzuRYWgu)2bCiN=I$-0=m9@h z>tkk z#m5zW-B4B91IZzhCO-gJrQtXgAp8hKT-?n0-#PIY+HMsT=dxTcs4zF<6F31tUY2-U z(rlEgT$LOAZolBwQO6u{{iJ(ZK04RXFU>Bm@z$}8*@93tCoLk*eWrt%$1cpuv!VYd zE|?uPyoSzS$hEm1%RKF#_W)UM@}JruuW@h8f$>gWv8F#-KgP<2fkP0-?ahKV-{a=N zvX_Oaj0qaD1pInXNk?}nz=fqdmY^^nG8m@u4RPO9w&g1v8g}Aab9165EcM%m$P9Sw z_=zSSk-WN{im;QE2|L}XMkzUu4nf`W1^#Pmw7H_O={lD*#CuSIK?dH1pfz80V`H;m zz9kL25S`l0`lRX18|nO#Gaj>Rj%CA;Cmyybfe{)k-75Ji^}0#z-dK2t<=QIMLS>Uh z?vET(kt~8GIikRg`>SmHt`hdWwHx0fJa70@ztI5WQEvooN}jL1vMzN=OD3$)_>TUH zuJm24l%27{jSl?hp`1sf<$t_ZL__jgo*jXi>-VXf8?U!_Qjf_go(uorZ*y#Q5_}bd zJAA#4uB7T-Mt%G&|60&wMOaO|qzi#5^r>(v&EXe~aq`-i>gE*1pKa#LBo?1O4lDo_ z4oIqIkd*$_Aki^yW^=&7^8mi5ubc*zF zXd@M=HA$8dCQ;r*9FrIpfF(*ib7}y5yT?! zSKa#6?g#3Wa_7XPVeVa4|6&=vqv5lDEcWT2N1LoC1|OFEnzzo*umWqbI}s7> z@WoRlyJbI#!PQ?>MUmo^*S}|c)8MGvjnLQlVprw-e*lI+dB1f)b~Upq5+l%91K>ZH z=xnecJ^r}~;Tpuk3HxV*u1@Zr|962F^JFEB9-vzgQ-5Aw^g3LBthkg$SI4|$*}MnD zia9$<)6>h^$Xdp9fPMnEBx>^PnOA_SfOTPV1RR)ebaFp*2jO7XOQjpe9dI0gf&(C% zWI6?Wdn9RJ^t|F@eH_ar8*`jbev{WYpZNFidM^-VL+d)4*o!4`$ushr4*+c%I8Ik! zE3eJ!;1nm?L_a|P##)?k-E)7XsP(WIKWSl<4y=(dfWrJ5wV^N`|oH zU#y73#9lgNy&wz8lhD@QC113_<&1om%)Kk=SUfGwFE7hYW9xXmQ(2ACSF$XcG_O{N z{3d2navj5CwR|fK0K(RFg?HRUOp*{9p-*9a!3NJl{|>N>cEI?=^McrZm%j6O(zQhU zWX4oW-BvO|F6g&9gYXZpfNBj)S)X1QB)h9Hs zuD7o1^{0p4qQA`J956{g*R4ABda*G&_2=^+4~H9lvok|G*Fo~aw@aJi#CF zGiTwfi}div8kTbd=J)Q8=f(Iv-6}TWkT2m-blN5J!@wLL^on^Q^W47ILtpE!MmX0m z<=@KT?&Yylc@*{4-Bs-6VgRMDMG2@}`%OLY4|&_~pa7JKf7CS#T-z|E-2Z3(BNCu~ zV)47Xx3;QX^&J|u4?eC3C<2p_vvi|c4| z0qOl!hk>wp!e)2s0pl%+ECZ;g3s{b8j|WHK9)E|W&p3F3y*}-#>0&a~K$@EKb)d=NEI_57rB^}nis-z)xJrFr zrQ-(|Y0#oIOV`N)4x6WRtX-qaM%7^PP_7-tVEM6aS1JM}ixEUWNRxwY7%Txx zW{op|0sw^p^OItu`{*_!E#0hN4#O`O^BPyBS2Lg4X;ktNU89;OL-GSy>gTu336uK@ z5utB~3cvVVglGc{c&PX} zUz=!dfV008K$N_DJ!b8F1mXhN%cA8N9iC<1$8OJu$LDTrXOHAJdUmR=8O3mzWndn) z9n6a_FG>C)VCdEx3^UMfe=vYr#C7~(Gh5@dO$ulS=<#0!Eab{$A0KStMgdo_Iaz%J zeFSahq8n$f;M8hIPwg;S+ErHx`<3mm@BK)Cj>T#}yKKLb+LykFlx)5w1|>FVV*?8- zVPP^1H60jgNbc zJ7QyzuaMCb+dNZ)DlY2vo7_-xw;2=m*O&k!WXLHol?-FTZ5k7}N|ySjEnuX6Ry^n0FX6noBXoa?tJN#lMmw;QdIkLEhBmpISf9z;@t3}+1qTZt_4`s<=C$4?4i=*xprE`u zr;oo`W6xa~mTXU>H@4@Kj|^ZF&6+QMbX6O>902O|6Wi9_q{A>~($**kZH=qn36Hr| z04o5`#q#I}^;mSv&l!hJEY6_-HGlWUS!Dpm$@`5n22cR8GhWNz%(KLzKkJX@I*&x` zqXOWF<*#VSG#QYgE;%UOeBGf2aN_ABYAfk$^J5te-fOxy6O$-$mR$iKrDqXDZUE1) zFWT6zmskAemE`$Ze90Rn=>C;$WCpXE%bWO+IfsAW)EpC#ARiB%c==1kY*Q~`0iMb| zbpseZ`Jf3zA3GqhSEmODnm||ykj3f{ zh7PMcI3y4TI}nCIcNUN^*~XJ(OSUXovZN}>nyh)KQq`+BeEt9JegF5~@4jz*-}hd< zlIm1_Z{Kt78TQ$GpLySXC_u54&uzLc+VV#`j4Q*-{PQbv@m}@7YW&~+hD)PPR4J}u z$J%I_&p5EH0BZWVKK2{NT1QOei!X&0Hrmvn`V6!Hs{E0+uX)G0#aC(WK-Rdl zHu|M1KejsGE9KAwTI1m8rx>6A@GqZ8tl!^f&AO8(LS>{#fHN;!+Ptn|~5t%H#TV6!lO5{TILbaFnd(oQH9GU}l8{ zSL*k}-*+I^4aEHkty8DLH+zF_fnqckVCe&XNMm%+J4zKj+feupecy`zqkr#U^??rK z&(CX({><~Nt+W2N0D4Rx;N)0R(xrUwcujb1IsT*tP{u5X+CSY}uH7#Sn3u%cJJoKs z>TY~Pjz6^p&~|yw+2OtZeilG8MjhW4K%bDJ_kaHQ^JT5-_gTws@pYO{(f6bU&@U<; zd@>b~mfC;wHq^h@0;o&wt?vz*Yku8(&aZAc;4L4W{5#EeIS{K|o&L+;c24oN+NrP^dEL8SaA>lZf!Tp0%$w_D8Hq{@$8=kbe^>|J7hcv zNtpk|9I&EKu3aiC`Qv4^>tnJ1846U1C7^P}x|S(8Fo#D`b5W{O%@68X#wSQW;EM+?A=zN&d*s9{B{9>AP z_~CBx$xlgfbA{QKr>gK=jpe!OvsqNVD-gwP4erCVq;DNc~Mp;t z*TC%Y+Gn2I2n(Puy+ofWdMVx@R48MgY$m+%nz{Jx z(NefwF7&?r(;Gt-Ko49g1yWf6J@=eE8xN%iWkg!`)*gFYAN}8jS^m+JvVP}x0BaTj$(^?t7I zy)<~6%FNUNM|)vBc|}(s>ssk!_bCfm1dLiogaLn?UJ$|~XjPg9uBzMo(nY#D_~v3& zieRfl6hP->0d#)vwXv^(jM28+jbTFypsTMu8cLvP@w8pvHo9Zt8Say{Q zECB``+WDz{NC9+@6hOK9d2KECucP`ARdts_-uiR@Uir|_8nlS_>N}(W+K~ciN0vsL zjy{rlhtd*tSK6*DAD)nM;_A!yX#Y#H6nQpNHJ{76qUaaG4^;Wl0dWokE^T}iRJo)# z{8~EmrebmL6+wTD2!)cTNKHNI_n3VE&H98=x869a>OUZTQ=RKbNl~$@+=oAyPyJ#I z!?_tB{1?O@-LN5fn_uGgQgs3?7YgA*3%H@qaP`Fx$-v|xRjPl-h?QLww7bXeSE6>? zFy2YKf$gA$LwbeV!r5xWH!1t86r_$f2&pHHyCDl2gFEagP>jgH*v6U9`ua**!99Mj z6!xAfaUVn{<4A`nnV`RksPKk<#ylF79&FX$%3AUKzMJ$rC>h1#sc;L#cwf61e}yM| z?#Rvh>Wh*G;kojV=*Jp;SUKQIeJ#V_+QgHz!_#Axbz$#;VsZbQWnAQ3;eqmBIj1b? zND;^~-f;M_*t+_#_3~VfZ<(E`75zd1-06XejRNT2x5>it8ei!I?_Rj!XuAJ3Y{Z6-4*kb{d4g_Wb znY{7ktaANALsX4g_c0q-~LktaxmCYD`pMss{!b5 zkO(?$8X3PBT!4}TzVzC9{mQ&U(lVc3dCK=^@1HN;d~kok)sJ*UC>EmF_NWduGSwhC ztn(*dJ2u&FxO#ta?Uj3@13{_rliEaPLnfUn*N9)&&pFiZv0QfJHT$ISuv|R-!U-u+ z9xEPtoXJXE-mvuJly~O7xu`!12w0XwG4=2hD`Dv}7M#iij96gO@iGyBU;NS~zUS!L zG_FN|-9<~q1!pgXWg?V4pLpiDXn7)N(TvZt>D#mbibYPsnTXt~LvfTRv9@`i6iBf= zcwBVMbandVtNp$3;`0}a>kq)+WnE)`qImEz>UXTdC$Ue=2K_}&4_>x6u8pUj$jF0I zG{V|kO@~3L>u@YRy-A0GZA3RT2mJA({KJ6xc^zCIJ+>zP^92ZBJJ*YfP$X6+DCULo ziUxM9>pm~#W%B{}MkzgEeRVq>ZSvRRn$+=2xk-nFOceO)gbiPK|F-M)7w^0wEe4?o z{JVcXV4^jCFUdn|4jr0uKgusuq!74I z{q-5q4xf^BqI(X#qC8h)Zbf>&Sf{V1?dh?~e-ga09!vcXmSX~ku=IB*-|w`e?**3w zQjob&th;EKKsCtxT1Mdd?XfOX^}kX%NV1`3+tk72R-4Bo&AQ41viMVSC)Kz zbWFa2LwseX#Tny3EH>bo#x{7?bkzSqW9)fMvWSu^O26aEb2Gnw&sG4XKjg!Rw);ol zbFes9*PL1bwE3O|U>vfj9wGyQ~hx9u1rS-Qs%j6DzN?ay<&512TnffBUcL z+7RIbo&K#X&fSe7WFNgFEg*s`r1M#*OuQd z`GYU?yW~atz?vyaswm!LX_EZycp@JhmIjH(JcMxoWvZt9VSx~NiZMcT^dS=pfPY0F zF*zS!;hwpU|F^9G+Ak$Eq;71Q@Jt=w0OKq50TT|zIX>|E zKFzzZH2$*2WURwB9kTOdQu4=o>FrYF{(vmBH{DHA2>UzwxB+^hGzX2SZ%xUhss zS3_nlMbybRF*s}#WQ_$4!R@#d!6$K_KYX-kT1WjSQa)yGf`a0YzyHuASygeZ06L8Y zP%?wI@B6O&mglI6&_KT(c9&uaYn**@csEr5>9s857{*&2WP@y`}O`y}5|&`=AQ zMxam5lUM-dLx~TB!nraM-z!(<|6Z*r4rnfU_;FbP{ote3>q?LvqWFA(@vX7|IxE+# zKkW;-w8Q@u>SOset@6`X{gyt+^amhiHKKj;{59$ezg#za@X>rV3L*U7w$r`udvg943ZS&%0r|d7O4-aMSo3orjWX}W8ua?7e_yu^X|fIO$(WDjJ;n^=pS~IkAnfPkk7RoA`{Dj7K@~sg zUWb<%4xn#4p84AjAL2Ko6VWIq_pGv>3Q(rG7ZeJwG}5}FF3=S}DgM|OHU7dEznY~K zp>*)8zQ^y`CpvyY?GmK`#Sgxg@dx=`f4{eX6Ks^m+_4MEFpNZZx5ZEFZAK#?|%3kk%dJpQa*H8 zd&Zl$V#uU&G&3xGUiSv=Q@tq_PKVXcYkcI1c*r|@xb#oM(wVNt-~O#auiK3W`C_?f zUG+s_3%_RE`V0T;vY*+E=hokcr9h2k_uQ{5;6FB60W|0>xjI+N(X;fOB67!k1#%+) z%wO#259kW14o$ztyNaQQI)1B~!KIBOA!Y#(GElorRP>rTF<=r+Dg__2MPT=sGeJ<@Vy$^g);NWtH}(8|I43 zw3XzwYT}pWLZdrIDS%!vr#w2v*=Nx&D;?c4*I(Nn`V!jX!*G!)w zrbEKCAm%X8=Q;lfnsCmhgzQc62&Cn4{su&MiWyzXE&+AI?z*hOzx**7trjdf4**f@HpEX7G_F)?dKR@}4VI`74OS5@Jh8?vv%N7uOd zdCk3K;c)e(PpOZQ0fM18JDYyI%=|Kj+NP{g&hI%WW!;;LwO8(uGSgrSpnJ~yGASNj zr?QnVSt~0jpX(X5HI0A4v*MMadqmbsk3S+_l#R?N^@XGGR3a447NjV9##>c&?WZ1< z70Uq%pmTe!QoP%Wjk*0olYY2DS5NXu$!%kZ0%&CcR0?2~(x>`Z_W113X@NIUck!e9 ziuj8)+^_=Jq_I;N)_FLj7mi3fwu?dcD>LVi)Vc!R*IFveJm@WPTLPw8TWa~7^`-?e2MyzFH?UagJa0Ol7yaz@QQJq z{!oF0gFcY6hq(?iffdj@N-Ll-nd(!HgZk0a?}p*2IFbRbsb4tb%^Iw(QTv$}PQ&tZ zzCh)@F8&_7OZ_%&jmhPR@~Y&NF+p5pb@3{F{c)=ZRDP92a%DrGz(*M9K6FI8m6z@) zP8_*M*{5zrRb)h#0w@+h_s9Zhvz{Z+fj^Apu@7I#n$Cuv`W>~~0ei0~fMNj@E3lM3 zhKutHb=p>HM?S_?$YieAZV&W_>=`vb5OcgNOL(b_h$DFih=z9X?a&3OG~yX9<;e=O6t116?`>C`I0M6m%d! zPuh9GCgy3kJ1HiF4YGrhw`1n1lQd z9|mnfF%AU9D?1jzl@e~rC-T`&*R}wmJ0!}!&H?|L}g{%PSq*8wPlE_nTnlo7CM+0Wgk!=A6!!P!N!>_T0)>bO$;GdetL zIusWF*S~dTGic_|D4P801PY+=@}K`tuOEuXKhgmgRw8%8flo}1w76jYf@5BU@?S2l zkqpU{-u-ghRXt8A{vm2OnP4(7w?L2lFgR(b9BEx!){oxT0eWvhPpifprC4qvGQ zhpnz7`G;%aQ>_HH`+Z%(UiuoJHZ1XBBbqrfADS>Hj_ak^1Q7pHP?a(KYNy|#-}HBW z_P60bDXnh)x-7ume(y_)&PIS1Kqb87{N=F1`b8<7a^M|TXsO?!pTOm&`9|?0-&b2t zE2~_A|5w&Z|KxVQb{<~8|L&_Vl+w>)@&4a^OeEP%kN17Yl`-bfKcN6Lj>D2M?q@%s zE4}sc2Yg@=3IreM&mk`LxJAmC-!26d&_qGLWX!}6Yr3#46hNgYH>lp%UA4FPURfE3 zl9c(2zw?+rcG1qhJf=U8b`S?IY8?1GdjBK;!_@=l&d*7q`6vF(!^);NAN!3D{&UV; zlm*ZO!ax>S|J9-5CB`s?M+F3Zz~7<2kw5lw_1f>d;HL_}|3Qwv_uX6dR_gAV3LlpE67XeaW&_gnHB?@%E9U|PB(ALPsmpUN@t z$3i0V_SdE8`A%6B#{KNCGvC4rd?zg7V#S{;qkmpCxTRk}^euNh+5OG`S_+_=|AzwTFC9{F*5`lwj;lfe)bR{aLij&_`4N4n z(z{7aswkq2Xusi)$O7(ueT*{5{l`Chrohs+<2Rwxw5jLtLGYVp?U4TP-*8=b6S*>h zEr9Z|j|Izy9JVyPq}gL3p>r-&~GAwFS_2jN$%%7C@Wyg*3JR z8VaDAJG9^1kK*}t2lo}9(MMz-DC4>GHh)ln{noPn_w=zw?sTKz^^N-XS^(`$`6CUB zuZ#(l`FpylBG+!f3A-O#&Na)ifnx0aE=q>q;s6B^syMqP}5of4Fyom8SLOi&fn=*k#0HhV^wmq zrgNq5{-(>qV*i7(-2RKQ;BNWPh#pV22fB=Qdvf?rKn^+iHDxv|riOwOnC&jNRsJv! zk9tZ5lHRfkr+xs-f)a&_@6NxJl&E~0KW+a`QK-5Wz9GkP)w=4iTb$`Be~} zKjwjQ{U)DidwW{eKv6P8X_oS~)0tl`1OL3*${zIz)#5~9>{Ibk56lac^yiu9y1M?o zTRi^6Xhm2=7VCvKTt8P_eK7lEmpKTM203C+$y&1S z-e>526N2WpwKoD%AoW)oAiWwiwfVezV*50 zpsatseojiKJ)&R5hW;ZhfJy=MW+{MY}RoGs|@` zxN2@qOv3a$41EY1U4x*88trRn|MSS*GJ^Pd9o~(yde?)_2#=7FB|fgDM(GFTPVnj; z`+}^1{-vHa4-6eC$nH7sUAor$8Y#wTUxxlv6{Ve8F^A2rjT0~EiuQYDVe=v3KlxmG zGvaE8SU8l`z>buLQ2yL_JyV-S?wC{4}ZK9zxq7fd72gyJ~ zf5h)m7C;xz{mNodN`ls3V zm|Q5zshx6`#Rr6&DndN9gYKFX6+N@Wvv1Jk#;kB=o+LvT%U2fNCH0N-7l>|+QJf;7+c4OrtsT+; zuC|61&;d%p(_t*RlmdUT{3a>zAJiGiV(>oCF>_4}ntA3Y3$;h2jE+^(K?CI`l`P)fk>-4 zulq*uWABW#dd%d+BaQ}WTLsN?8ug!w*X%y4%(w7hTqp}?T7i#o89Q4O+zITT20E_+ z^z`eUfUbti8syg%@b`&!ZH!O*vu85-dg-CAP3;JhrnBF%X6bhclt=#d_s6fsp#7c+ z0g5L+SYoad^CeY-nlON1o|yyA{Hn?#bLv6U-y@9u+X0h$DG%gt|Flr5CK@kOktPn- zOU}b5I@H)i6HGarUAdFs-D?5#urM4C5A(tC?cWLL`aw4)d9;f;{b5W&Pl6gi-)Ilg znAp%J9DWuA#&PH8!jt*7Zw#uh&5>3RqZ=OV>ZY@})pmSD3#(zV_!z^FO&A z<(ZP%5vhNAtQ-GVx13#k;E%sFR{Y3He`sq#2PTOU5|q_7Zwoo;{hH1x+T}akaMXLp zJ9&^vGj+z`kT;E4NN|1b3GqMWc(%QXYr9j_p;7TOF47Pyf&Ql2Yzp{^nz{W_>*R zkX(S~VN|pI+#&@O6hM)=_x+r%y-_;&I4S(cfA{L*%roYT|Dr4J|34H!2RN(`zE6r% zC_4SZZ%GMD)?J&9@e@T`w|mAdlvTm+`(;^;k0t06;SY$SxPqe1@5*}MxNg6cJFp&! z;|h2bwcz0}YoD2SQU#ol8+c*7mkNUBp zt@`e0C^izN9hvr+)e24Afup`5Rwzaq%<1 z{zzE+tzI-9pxr;y2RnAiF-kf=H-%ErdrJ$T$k4B-4t%ij55N0B@wDa&Sf%{5EVybI zih5Bq+7Y~u&3!#UU(?kP1?+DYZJ2u?pFjSu4@LjS`-{|;u`Ie%?gd$`eBg`qLCAN0 z<7J_o_Cspx)MG2o7C=LJSbg1A+-*_<{w68E)9$eD{4>Ay$iQrnDfU3qdLVNmHU0QO z(O!q#As5sQ=y@;gj85%6QYgkM`!D`>t*}HcdbNp<4v#)b;{}`8$E4ipQm>O$?dz}R z%lCB10@i3BSADkP{`;@Hq`2Yrb$-s{X^knLl;!x3eddKN^UQfo3jddK{Q0cfNAtSx zVfp-2IsTxmheEfV>Dlz#0w}cmKc*Oeez+We{#4@+3XpAnx=e@LZ}`2kHv9&y8SazC z++X?~9Z2+X7wF?Z#tv?9cv1b=ELPfZe^5Tx9@tm>&9A+r__)TVKaui3 zbRXp47n|Qd_TFn`;cz1q8bhg3NleEW74&)af`l*q# zMrQr@z29cwA%J`~QQkrEH9Afrt~23CEfLjg!^amg8@%--WN|e}Ak#ky{kT zb$?w-wqGWz+%Ib$^5dG1OzOV>Tdydt(3nzL0G%*{+5+fPvH;pUXK_}suOY>fn0u9h z-!4UGEZsgN1<-%>TaVTqs1upduW~=M;m6v?^2oS@RZ!MG9#|N&7?bSm-vkwbXq&>z z^!>u!AjzNi_Rk8E<)Y^9VLhbGpS>om7t%M(s+{f2hdBi6KH9&_VN6F66h4`*ZGJg? z8tC%Iusxr)>T=uTp=8M-|n&SfVJLew?P4dGRK00G<$$R|F_fBYt<^#@} zZ@G@|=g)f7?>G4a$=>?Z8M_Ag9y!BWb|_z#_<|So@&3URPj-ttKPyExDS{GZm;+y| z7~XW_TycfIUn2i>#z)YMD9iJEx+JbIXYB;xx;ms{y&0CA`LZ$Mx6^OUuUUG~KjNKfN$-!c>#h5dKFeXh9tGUiakB8QrO z_IGt|dH9iy;){>z>UVuViB-)L+9F?7yMaFA(19dXF1Tv<;)JM9~#>Ns1Pgpv|W()6ZFs@&a(!;9$6iw> zI>MT7Eb&)YPe^g^5h<<8l4vMDO@njdI;U&r7tfONskDVxU%D%l=-TL|U*~#?*IB+c zsKi_u`lbPkvhJmvt;uS~+KD5&y8ENjiPCyA>YOz1pZBm(@Kjj~=ft()T<^Yi>`-z1 zg<%SyR~DW9@6@2meuI$gk$-umu(|QvZw|mq=W@E1dhZ2aEhWWsBPEJW?1}M_0k}lx zAxIC61!$}QcDhH4^&_7t)`eRaMZeH4-)f!P^hg?r`1&u!xqUYX5AU-<`&v$r_mF?p zJ3ds`*hoLAzhyko*M|bDQuurMbF$JZ#Z|7Zjt+5F_%`teKkyfw=FgFa`VDFlSBNcY z7lF3kQFeo_J$|*F?vW2kjt(ncpSGjim(IRbikdeTC#2B2ftB42DKJh&fAE#1O10xX zXJcLT5}_wcmHLO(=(q_}sCaxH3?&y*M(wVAKCh>j@?zozeP%&x(^j-xlFaY9S(8P5 zVbF)JoH;PxW_`fE1N83d(4O&-eUc3-w)UiyRqt+HSwAa0DN`MrWT3Nrz3@FCKj-h% zArKx2k!K8*uv|cnagVa>}$a zZ#|Qk(I2Q>u7EGZMFI5p)%Ool z0KGsKK;N!T`4Yu-d#}q&WlUs%Qs%VRB+L1dW7aq5Zw!`W&2OQN9@^9k8+&!IV|;|CfPfKXI+27ca`7$p7FAO z8tD4EKec}XCt86aN&#`!{4rk) zUGcUb1^mk|-XlfM6UEcdYZGdOgBLf+sweFU#V@SUS%I=&QVv8>Fr|Ne45bAS800LV zecod=3&qCAWTgxKhik_#{Ve3qM3Dw18bzh==WvLt>7hD~HqQZid^sE;`a{Gm@H* z`H^1xMcOLq|Gpi+?eAAU1a6j(Jei)Rll>*xs`n1xvm~WhX;}|?PrNvI7XB(Oto%?{ z!n2+we;a;>4}xr^P@uBZ2D-*vWknx=pKw0xQxU-{_@4*db$NsGCHzt;EurXoR5CU! zUZcW067T$TmWpRzI1zM17G1vi(DpmrkSpwI>kr8?tLY!@O7t28U4Os-$sf2TWcW$- zIlmx9^%GKt?y!Ld{Y88raxGBdXS@jVIvkmUKj9aoy;kuikOQTppuzN?^nE-24E#`| z;+OKXKln1G-}N_t>_0~qgD<~iug0I1__)D*^!rUv@^t;{u>?^_nevrTN)NgYs6U6* zSoURu^zo+|-%37A2roQuvDmBr<1twZc0b)y?u7Ym1&`oIqa6Da8k>@DibptOP}aX& zptR2_x;I_=k$Ifor!Pau`9j8DDZo5l)!#8p&#n8}+-F=#H-3KSXzs!~_oXAT<2-SC zmv@ssQbB1R1~rF)8}^w9#pN!<-7r9XTq z#bKBE!kEikJ*=CkS`MEEnmTR%wEd1Z34~A7!Sj03GX7vSatiUC1ckBVvTulmOU8H{ z<1@5oz0r22x5Eed9X>5&?B>V6blu{(@Is-lpJS@|rKfZa_s7@6${_w>jw+w2YplQg z-SfJ_S#srK1|*_yS{AK(+8?qhzA{hUX&3m=ABcx`^p8i6b&Cfd(ua$8>-m+@dt2-S zUUD%?c5`vnHr)%gA=hysYsFAfFZ(9sDEcMwY9}c}@e85}xOg1h30#o1hac@0AC~el zYlcy>2fr+DU|NYd&%4~wx4jz$(ATMti-l}|gt_|t-upMC1gds>JooI-abYfn8$~1N zgHq+ySIrgIUn|R<7>XC2`^^E!Yg!ASG~r|VmJutU4?MI{y!3J^odvQ({(vWRU~f6v zf#xr-yL7I2i!2MDt^S1;0M6vko(%FBx=}D*VIv!w%T|2qNwRdpZwv*{d0heDm4(Z3 zi`(vavA?B4=CnzK1-bR3_ep8*AwBc4HU!ymRiXTNBk?2wYoR#9k&JDC zlava(D~E;a7o)HUTd0;UDHir#E$gzE3YXZ})vLrIaI5ecm9rGdWI=ZI82CP1te?=8 z@KTDM4Zh8?OZs${)HzAsE86^C<8X54thpzj()hX`mCqzQ|Q`UwTrKpN>rDQ;-2RRQZ>FMz$^fDygF`p9t$T;Md)P{^As~g83 zD^`ymE@*4D#aA+##)0Re^inTSJ9~YxbjFpU-(HoPIw8y{ZR`bnvNU0J>{C*ly;lM4 z{RzcV-&M#0XexkazX4C^Lz(-gAeA^P!{)hg6ySmaihD0lW&xCbA<9DrL`U;K721c> zEAh;EMRGu5!J5AulS-_Ehs-^qPURe&c&-uCn?ihXMNEtkgI{_TL~gWH4s(?a?&20MREWeH%B7JO4D3alNTetdF_ zao@M&&(7c90;sVzeziaOHJ!i4zV|?>=8y6ho#)js{3S_Fm^GjYCDtpz^^rHfv)c0Wn?!jy}%U=CWx(-%{sg=t7-TAmcT4a``hXa$B?VMhttzu*e%|@RS2W=4IngVVY zj%oiap!0lH^T&j8W!rGl_pSJ}KiZI;{f;(`Kk_W|CqMh6q0ZPJ9|>yCK;O-Vy&a<} zoA!)Fj7#((eLD&#s4A`i3s!?ZGwooS`41}h6bc8`1x;|6Ho585*y2nDs7*N1XM z$btFJ`h9PH%n?GS%JS{6+D-Z1%2p^&6QB3c#g_Nl@%#Cco>?C6?eDFBFMeJ_*Yw%G z_l)DqQaEQ{-Q_VfujqrbP__$sclmADuFn|nEnva_c6|BuKK4l)?`!^uj*a&bEm;r{jx}tb_|Bj77Wm|E?N9#9-j7ljHzNowA)Fs3t>`Qj1^D25zR-Kx zN27d)8&3P)`IHbPp=A-VKB&$4Ganu@k2alvU7eU6I=oSQ{F8a@Ij9VCRO7-6i{dNa zvrsH8=ZAO|AC+J3i*JU(*HSUn@qGCeatoYuRe9M*^qT!{kcysohh0oXFWC|_d5m%V-J%?ED2*`!Se)7Rnl&jM0D%JRAP zPx`YzzM=&!N{F-O4|IQA#=HLPFS36cC3|3i1GD_Y!>Qqxq)YU!x6c<>UM^0BWjp#m zbJ6WZYg~QnamQWj#Y2ZRW@C`g)zd@u?65u%9`4t*>hE~#d~x-``Pd8e!7ANS?B{FT zqaR>wxZ~3sV_5*@dUp6j`*;6peldE_d%>rP;`l9IL}xBeb=pX z#d+uDz6ynvQm9x_aGZBh2k=KW={vxuS0IM@m39mT(B3QHhvi2FcKAICl_wr6x<_SA zat-V7l+SNcCz^`Jsi=5RN|o1za%Hxy=!`_$)#B*mzZKVS_bX#jSF10dbBpw(&J20V zIlk}^I)PFA(cYmL)?Jk~(W9Rgd`d6rP$tD$@*st*g?(4b`sZybZ?EPx$BQ*t)#DoY z{%)>VKJUwlWv*by44(eezosHlEkD_R@*3HaQsFDg6NS}Kj+zutVIn-|bRF}YEUIoS zUaoxg;oZuE!Lv~cpxw#>XrL>Mvi$kZif)nrpm5THY7_0mM=5|VpZ8V8!t%K)FZq`= zA-yUtM_$o>6cl@&KwbI0e*EE321}(^HLOkfNAd~&Kx@rGmd-Dh&U|yRuty4XSkDYR zdhtoj@-GDhe}qCRekaZ}@oeWrI4WhyheK&n=4th!A3exvs}5ZB)79^3QStSv3SYZG zQ-#;)X8|Bb2PP1En3}&XENm3VpZk!mtAD7(Z!<0(U3=Zxca!SF2Ky6|;X73oDKOHp zO-z5<#zHYCW!uiaw-jAnQ_kEDd_CVX2Aj}VjO=N%8rC_$LM(W#9lg6)ThTyW;YAKx zb%|4F{;ZcL-bqoEAyfCFmK7aR!P6E%x0Q>NXU<}Tj-2)g#8M20u4)4s%XeCBA!|8kIXOLG9^7J>a zbr*C(&eX`E6BDP9wV+c@ylC&Q701LdCWp{MG6XGR!bZE(59fAcn%KV`&}D3Ad!nC@ zdg~y=mT*~kg<{k$RERW920`<|@9n22^>T?-X6 z`xrF0$!{ezD}5p>{<;kLjmcND5ySAE@S6^;^1QG&K`Vbr9~4+wPy@XIfI?r)52HFI zz0H>jX0@CjFzVTOpDV69-0x=z=hTtvHl$Dtq)L!FEb*|gZ1SUl-z>|o_&s6%p*Rp5 z8S4CmG^lbV9UCw3!TC1n8||W^?;ySm4(}*muCPRQ*#K(OflXts7*h^XXplV6SXEw# zmQYfHI4C9^%7I*Q65Vu(FJoGK;VBqb+$o%T#h1j&Y7)zlu77+KQ05CBgp-fD%3>YG zQ}8OwpEZOI{$MUQoG6|zymMm#1$OE;Enl1-`l^H~zfJWi-){_3KX%4gd#^puIp?wL7}zvn@@WOVkER3j5J{0v?G=}Y z4v8D)eE;Lq&&yAwu#N5SW4%&~C*WR&-0xBd%4K5~|1AOw30(MU;-i#A_%M=v#u7Ha zl5GatH??{QYeZz!sz~&|GaK0;pe7JKF28N7qMy_(xXo`QfB7` zQ=}NApOS9`LK4y5CB44;x@>M;4lvrsb<9r;%h*lIwqtp)2wK2ljO~=@)cg}*#x^7r zh-W~j$x zFl>vOtgG|p+G8l&+Qv2#R4c zXOZe#19dT|Q|p~J>o@8Z-NQSx8XWdEv-`YzIGwFIZ#irHact>VdG#Io^_^8GN%`)FdPLHAX!@Z3+7R?dAnP)$G zZLR#nBU^w0)|4f0yreMvv|y&?{(x8c`O_5LPN8V$U3#1JZY`B$WR1*UPQ7QRJ|BR> zqZgOQVE4qG_2CB8=JvaC(6C0R4A}i0s+$eJT1>WwG6|9LBUgIz2BX$z(7q5J;hbe> zjRAMO_+weez_V*Or1bdU)>!XMSbwEYc~1Rp)$!jSgfrtV*Nm(H@prw~OSTa{fU3gm zcWDU8n|>yYJ+9#2q5NZ2I)4hUX3yWrUnHyT|9vKKSg^YAyFh2pu@~1UmQnaFTuq}S zp~1_c*RWXDPY1$^WOV3Cp*OWPE%iw+zH2`$ur?SEqgTDnsC`JA|3{0gal+?wAW9V6 z`-}L6g)E>k`QDE;PNt3_;r06+0|GAC8B{R}ZQSX&4Xwj)tnKn4D5x1}s-*fFW9?s_ zw}jL7Iml!geMK)X5nl)LDW=6xt?9>y{F1xXet#~EdgXMbXf034kauz|N3rffzt0l3 z&>d5LKWe|CIlC&-y5a^$2kT>08TiYhi`<1h6*aH7inIIDqlP9owSSB#CR}Js^M}w! zjL{d?qX&}TZ5HFikl~QrOBsu860E1HyPc7&H4b<1=J1Kf4(?Zr z`JUk@jW@oQno!HR>ljP7d+DI&HazHIvGY%L2|Zb+MsD{9x_Wj$xd!89rB26C3hq-u z#n<`qY{w0o?w^UeQ^KsSk=LK+_=XF&T2Hj*qZ|GNknbfQR`}1ZMmQuMV!sQagvxcc z*e1_tMa}dCkc*Yr)k*{c4SCr%NTBH_9J0>|FS<^IYy&^{^|NU#5t(`V;9N` zw^`i+uW9Owi$2S6@bYCW%nAr-A#DT-V>`y+I)V?vj%{8!X!qy0y zDnz(NG#fse^U(=*>(g{ycQnPsdfNOYn8{(02kpx zL7MYhzD4GjdXcmi*L67w=8%XXxu*D{tJSX;$58hq#lKqZe=#~2F&|cQF`f#k+*J{m zdH*t(>}y@GPmQ-}b>gACRECiN!HJ{gUynKU?!|IOM-7xSd!`JCOS0-T;$5bpe; zL&vt*NhUa*DplSuFuBPvp*9}VU+DYzQXLL7$su(_;nBO^V27lP0@B^YGJgJK%`0mO zS?OnR-6T?j@rCb8-+`}l`1@KlL3B^Du)D#4@dNoFF+tnBBZ$aaKwXsZx(Ras-)x>r zHFXm^dZ%A|2N##)89lXsXnP0CLb$9*gDGuWC1oY-O=@Q#rz=kKTPFg<7~zT0JlW?{yc)ao)Xi5x82)iQ6^Lb~w1d7N^+e5?+B?g5C0EATAB zPA+W4!}v9V?S|PX<&@!20!6ch-ryIbpcxT#MhzS$6Eg_|qisC>UING59fpq3$A%I4 znP-p;Y}=*1Lfe>mNd5pis>l6I@q$-31@t9c8BmtU&1<*4)P>GYCd_L|=Jq1)mCLW1 zPt~(N?*;FrszF!{WdiqNi&mn{8_XVv1Wf_V?6C&54%=2;SnGGff9fIBe(^G2A+dg< z*EX*rH#G(@&ET?Aq_DiWODVW%5T@qXy$cz=BBoEK1m>omo04%YFY2g3z#0KWyV7 zN+_p$7)SCdL?ro0SB|c2d(pyM=pCDgxA2p8g)7(yOisT{-Z>(XuT((5Dq2!MIdze; zGh5=8`tXzt`df_Gu`I{++h-oPBLdK1z85px}- z1@GPk;9vPO|!?-+4C%s99UjgNq2Qz*PbU`+5mLuz?@M``qKY7ZGT2kvf#;vBAh_%$f)O zKz^3W0_VSH7`+*1WjlSMVW+kww zpwk~lr~8ULx2zQPd{p`4LBy94na?EG+2+@M#Iwku8Y5u3o8XpmMVd8TKrz+-Kpf`0I6yH<0~TQmJo_r0xD>kbCT@S%C4{?tppcr`Iio{L7%*FBTpBw@Rj*Vswp-%Twn0GSx^l7Q&7e&NO zNtl*Spw(RJ4t<)t1sm*3cq!HV+f@%#-L`*jo#=77n=a+lRaGOgOIButHMsKmMFEo& zc15lp&XO2Jh+58h1STXmRG_Ov;lf>aJ@KRAo}cw|GcZcDFeUv zux^sV>TuM06K=;M9&g7E0&vwTs;{})YQ{u&Xa%`#mXOPrys2(9CvZIcUH5(SbXEVL zJ**IPp5_sK7g5V$lYWQ7hCx^tOVEhMf&B6-MQC?NfoWFzRaE)iYHZBE`BTOpT6zaX z5iDxlQp>Q_x9}9px4bs>{nItX*(%D$M*XyaO=66Kw;zFpBSV2h(4I!x?l{Cq$(E(` zS4lE4WxZ~-{b_Df4GzWCW`?JgV&=3%KH6sC%?ujl=FHw-nca9JjSkaAzi_jXU+8+p zR?X$Bq3Ck~(>L4e9U{4j9&=;Rj2g)fzU8$)7=1#h5(bmD!4bfzJFKv=Z@;pA;cbyk zUDxuQXj~&dv#Yvfv&YCjxDsX*XmW3`R}QX0Ktd=Jo{MY?>C^rNLOGl=8t`7T`BRE@2q?Q}#7e*S$IUYA?a8O`a1_&S?Hke>lD=U#ht3 zBWauYu%h=t>|Fi-Y~gT#>gP&FjP_4o=uDcp-8brN&}uR==7WvsP(C*#L^UF(oFDx% zV~~|L{XMydDo#2fji3j+3=jIO)s`!i4}W&4Bbf{fokvPU#@Rd+90mWnbK*9n@j#D2B0=MsotIwtXClQ-{O+BOlCioLZ&mxhyP5h!D5h#99n)n9es zbtJLgivJX8m+To0gQp=FK_3KgDU~|X zfe#xTDd9xzgDjRSzAXQhTt`5<TA5&|qx%&FLH|M6vh)iNIvSktHJD3fg6Ys0U5e$hQ5(G8Q3QeWbJ zsx5nFd_H1$>Oqb72hf@foEXj7!s2}X!+{I@|f-iteY*2(eX==@z!kKlmCQzv~4$Eo-zbq72t0h;O5ktzAAa>@Uq^U!gF|8@&42uj2>s8(T_`E)Q?a}ruiY?qVsAV;6$Rh6dQQ?aZIUs$6u<~m=NSFj;$P_p0 zrRf`2>s0>FeBb6E5SJtQ$(cSy$jmt6u34b9iM~)mn%7BWME|;H>NSzEjVfcQ>!it` zf93ES(TRPv7Ez@yUH9|ae|M&5oWkXlc6rgXE}+xrgf8v&wQXnb=0dzG=(GQY6+oc@ zkB?I0QQgRMqv1Gm8dMy&>mw)WBh>?z0M*F#b2kPF+Kj@4@R7Pv*Y!w12i=1sC$5EQ zNj&@3rpLOp+oj~V*ls-4F1DE5*zFy}89uJP)L`Qmn&weZ8{H!7czC{27S&SvM|e0E z^My?TOKr>)egh1je0^BeB-~HQ=3YYgX{7;y$|Dv1n$$~p58uTwwv*yt8@1w z9vRsnz?^ao%g@H!`>{fPn#+qQP@GzQE_n$<;!|4Tj2FLcuna;j=^<>p%T9l;#zp6YKfszkmCAQH74OUj$@i13~D+f%ci`mU<%u8_W*w^4cW>gZ8 z(pDDmO6Z8p5uDZ;Af6W({G=NK)FPOX^vt0wgJ{kRLTn%LyZYHdj3o+@sp{1dmfgC< z$}**1x!#NF8S`bAbSBx})ka^v5=FwbSN}55q*c?r!x<<_sDf92w9p$mVy=}88_uF$ z{?=PY?=+meQ!0#83H2cdl@!Of%(o9guYEK3o(c;DpXrpQ70pX9rI}%V!nS=m*bJyk zzQw*>xD0q_g4%Q^ja(0w{rD4AbR=3Dy6Z@-)%oljsPcrNgY;)W*2z304h1f|2?Jf5 ze=Vh_<7I&0x9WtMW~>JSiKwh2MZY*o4(h+KXDawfeqYBCu|VT|%)*I*#M&aqv*5ZjE8G%(7bbLyOLC02r<(#rXn)xI3s`w8&*8fh}RHShWWge}6i?gkLS z4!kgy+gPR7Z<>%J{i_Ka$tF5$c%xJlj$O9>MWm0n#~f{lR^+W)jP0$klU^Soxp*!~ zF8OS=fXO)kn=al+k3gguxXGSy{kY*eac+Gy?9q6&N($?GEB^M>?cCZ*wWoTmwgMaW6FO6nRz#Cw@2e3TQfDnoIbvO!iK5-}FQbLr z#Kk}4-A6NUf3yyuF7#rnB1NwE>Y|+s>%_R}WL}nVj;C(*nBaUKqHizO?WD9DF`&k{ zk1zU=mq6GTJM`2j!0v7(+19wlZ0u$KndghCWY$lPOd7707p7u-sqEiv%TMipa-&{& z1ez&B>I8JhugmIJNLCzKLz<%rz2Gm4==L%?|d*$DYqxoS2=&F zHgdP!{l*2=lWgH?;{NQdETvF+SZVc~+z#H%fs}+V&(G7~7vHoqJb{{zG&u?Ia)-%q z#V?xOz{Z06t*i6@bnn`KO4xr#j#va_+4M%m*<|`%`X7a z0mug&+n)`P?7N{3jYB_!t#ZiUoSs$*(Z@VDZfmI_dgibv-Agew^o35CHJt0=N# zzNnLI7DM+%8si?8`(ywA*{Xcz#6ksPL)ly69#Km8&DE$hN;NT?OOa;hPhYkYg3c3P zf33W1Wy4Q*oq38JT(-H>hM3UQ9tS>!XMmvKas$^&w_5mx718cMP;1Tl*zq zW^TZS>7B5a4vVkCuQ3-4mv$pE_Li&?Phljh@p(^LaKA9Wns_AsYhE_HRzeYWuHP5U z!28Za8H9J3+Wo!dMCYX|7gtoy!4!@0NZf1YJB&SP?)DE~nXPm0M@eFLxZo3DS;3rm z_borjQ0~sMk;ss+?IE_qdISxIXyA`g2|QRCrI95fPEqf%1X>m@uy@r($+}az);_E{ zwW$ZuL3B3Zg9u12JPGP{A_dI)Te)^I;T$RZAY|5c&S^X$q5n@fW+i5#gBqy$>Bq=u$r{H>@8)X( zp%hJuoEdA=z^)q=JiZEM-?Y z2}TfWda+&c3WI*3&rO$F8}~2&EWl!_!LtcN&?eeC#MIB-JVBaXA7jMpw>qmrj3L-u z!K!jX&b~ZMPMg)zLeazdct^uEOJ>fV8V(w=j^$hAKMYlfzmh~xJWU-;vRz=^L}nG^ zQf#lvna~d{vm5>7$`y{ElN7yF@Osj~T>R}lvYyFDD&NzNdr!uVIi8!!AO$G};!lUx zscsg>PS;YgYgH+(C~T)%27zD$0)Q2+Y!^mmQ-MZp?eM=*j1nRvKN=y;4C*s(Wuga| z+t~+ah0L=ytUYlmee=ix2NsYbgcGAqE9z&XHA_TwJmI>CLA)%T-ipc00?*QL!@D?l z@|6JGj?Y0jjDJd?skq}`U={7HluN~8cbu^y{VCOfiwv6!by2+?jcYLzipnwi_tFeE zLJ_flJJ{5Eb5A*}qjOkvFe~Ikfo#Y z9i#wtmB_NLktACktwa}=c+bV1tmE9cr!DLp_D~J67$+ErByazI_PqH^ zd7P0w1vN6@J}7o-|9QpOf^E|2j6AG?<%z&1j}gt{KEvtyd~4Gv#6EO{Y*ItLtmMG~ zrn1e}z*k}eA?u=e*vE-ac1mU#qtA3hLG84-b=PUZRPYzB%V^7!?+@8HL24}Jh0RgP zY_hb>?RKYPvxf>?#j`)W*6wW{a-edVAH&nDu_x9TUi;$S7vo&50+@>5ub^fgjr(5= zKTHgrKx}0)g+aSX=!AMn7p`2`>OXVi*Vu{U;IDTa^_8nqbedOE0NLszl4S2CvY5n# zd)xpbJYNoZu{DaX=TX2J^crqOIvu5-;J0hT3z^bX&mxUi(U!blgSL6W%5oiF&z!HB`Z-p8kr$l~jtrkB*c?ApXq6gTLZ+cF+wmPZ{HG(QpLV@znG?2_8DST&Vq z+TT0fhvT?Sb9`>p|5o(1fMY5rsw13|eM5oNo&s{V$yDw%*s{8EBf6nNSFLno^Yca> zDbBnIv5fOunryUU9a=fhv{vkVZ@#I5WqVW+32jJkYM{rQDC9`&s<@H0+}I z;`nvT$~d}qIBp-6nABh-Dob*vL%JL0b^q1wXUiaaFa7&|-d?t@y-nih+3aGAsnB+% zDhZwUcVLBufdUVP|IGpri|Ur>Gm&=o0@zp%mI%l*%B?SLZu{lVXE^QqF=C!7a1!6E zJL3)qCvI-JL3JX7im_`p8EiN^8O!UxKwNfG)xA;vRDf)qfI0*Knzz1(FuY0Z(uFkJaqk zdqx|?Y;>;Z3scO_bDCtlvp0RoenS3FM1RS6s`%f~qqeBtr)$CWBl09_Z$mKgtY6+i z0;^jxI3uP|xw{oP-D7bK7ri+z`d*w;^n4inZ9RH-%>}I+dRa}KV98k`LjYPPE&e0% zNh*EY_aS75*>BlcUvFgr{=7eje{9 zdPsH#{r!RYGyXrfjH5m>cr0Oc6@b$`z$VKqagI?{LP?sCvSBmbA)fhtQsN@mwdihi zWLX+AxsM$>I?dSV8%@71kqg+(FZtO0=U<}o-I~N1m0s!biO>yh*hulkRRn6ska)fs zx1PhU)3hbQFaLR6ea{#p_!y8X8SUOjdodGv?K-zGZc_9?+IcOm{k%{R}yE!phv1>uqf6@7m!$gw83 zgb>=GUQKc<-nZ1LTMfn?-8HoJ9$>pz()TVd&h;n%(mXNICd<+0zGx#W>9P?S|T5fVKz}=T9;pvR-Zw6c@U|}$WqS|nJ z8WH`C_v=nZdaxrV8mVF|;FMe5&UOs&CRsdF8t9fcws4vl7E z3ue?XQ^pFK^!Zdm+!Y)Axox5!cbA{_gc%0Wj_!*LlYA%pIQAu%C`!~%eo+@uHIgf7 zUV>c!*t}?=APH7SlbCreHk{LNgJmp6jhkzwvW}UlW9FWMK5{*q_E6Ipt5XV=#!`H8 zdDOJM^3YEYLdi8cE^`L!5TaP4h-E-^5>u=1~k!?b=_?PerRe{R-;fmopI-h+4~tVDYsaIZ?rOb zMS8Id=$$KzUg0H6RTdTN!Y8BoZ}2-7Hvz22Itt(|n(j~f=PMFQ0YAH8cIiSOr6RL(-@0f!5i zWVaQ9Un3(v@P?|)Vh@F9e&Vw_Tt0I8pRO!N=AEGz7I?GOWX$oooc$RYdz;X^UnY)o zF+t9VgQvOAI?OSvGLxGr4jyKkZp!y$$lf)E{1fwLx1J-(X2#C6LSg~A+0wcngq^}+ z1U$q;1_4Q8Lx@t(mOE2f<|t7V+wV|%bvKeH9J@zO1u&dLQr=Jygrti&?&S^oJT$xd z%aa`36I;w3OvI5KrYA+dGLDe4g9K?@c!LK&9Gd4uU2EmPBpawYtOC%j?GBN!t8+`V z*qeS-i;gFMFs*P(N7{RKcAMqIc`kGb^@=ueqQx+@BSEEKr`0dA!}D~K{m&AQ&HN5X z#QA)n&dUmDMC(zF%#oSCgK&`jjrU&X@DR&Eqr*h%H*|suZS997cGXO6m z9!c5^m6Q%?UKIFV&iu^VFmTu`T3xOFEqicu-7^ba)5fplELLgWBR9(kTnI1C$OS5c z)_P@6jvM@&Z>ApEWK;4g>``P zC^gW=ivWzD2Qy+3D0JHO$Nqk4YtW^*DY$d$bkua~9XqqZ$?mZ8$Pzhe>@j5wSH0t8IMPYk^Z6Sq*XiW81Y}f(~-dm}vuY0|m$<@b)tM#J^ zqNS>vbJE)syE`tac4WCh{+iwkair9)cdf`DfMv3vdcX*ge=)(DdJ7dle zh^RmegM2dz(@E8A3G%EktG)Y%=EC3;PmrFz=up|eH8jILtKSwlhI_5H?b^oPhGlIB z=9)RdwRa7P#Giuxy?KRiv^N<6Lq302sT>eseMBBZs)C-<{h%B5VCBp+{T*C&9@P*L zTT}cO?yfd?X3V!p2nF@e+!Y#{9-Tu^q`EJq>vm}tlwN;czqh>~LSHN3Ay=IA1MO}l24t=&tS zpCnK{!+#2XQAjNV*aWlR=U-@3UvrcQTy7*@*)oH$8hE3xMX%CR)mhWHxC-}}keLZN zN@y2#?^*tSb0_u3qv_z~tmuW*B|~}N{^^J*%9QSL36IrSOP_dnQ$cgB`7heXuU5k( zgiB8BaxrLFi4D0ao)FV!+d~2busPR?F*HWt<{T|R?Lt+jEglfDn6GZl5$X-=YAdi3 zJ5nF60@J4kj#5tCmQZSi2?w3em|C$B9t6MumVpHlZ~6Csa*k|sPoUp}8RQWf_Tmau z(8~X{N4C_nL`V?+(A=7L>F%r+Q7*NX;`vMHUh@!%tfu<|80j{AeM6@InJ6_;D%}oM z%PvfPN8P4{?_{noOvF;|!)4mO9_#CrMTypDAoy;~f*=qtmsWq0H8to*UC?of!MW?0 z#_ee2`{~Hkgv-<2v>9MPL*Oze8^egboDRnr4MvPo6ZrIOWyKU2=io+JGoc4VuG=Ygx~}m-DL@X)eRX&i+RhB!e{%f;k(U|5%~EJL7D5S%Fw(4M z@quehQ;f|0`iFLWVvsgd^%k?L1zUZl>DPyr=f$`iwv9GZL#^quB$uN|OFKk*n}&6+!)hY)n#qmvA|8PJP=r?8dTv-x$=x>;fCT zA^7eQD*xlvaW1m<_>DDEp3XjKzaI%SzP>H6@6`0T%-xa2h;Spym%W8!OQ5a)8Nu~!YXI~g$lpn+G!!}(!dFz5cW4vavc2G3n|7OV(a57MPR9#QxoM{w{~`0IM25nKtUQY{HE%B%2!5sF8-m0SA$+MLgy z|5|Deu9`LL()1a|x-yKr8T_trqYP6C&p(;&DxKLPLk-^MkJW#Ox6i%b3jALlX_Dqn zp2Aip-*%V~G-o;2G_m))Eg^J~xhIX_SBY*^V=sAX+e`qozYhLugH-UO@NYY|kMlo& z3vFLImrfIrfsVs3Wb*10wSSTbl&tnimm)&Ff!Ytdc>T$kh^tzg%}n5v3a*{xs&&isFe)-1 zzCb7jyh_(U!(7Bp>%EQz$O$+02ww*j|ErSq(NOpftKYBE1ZK})eAkEA8V6F%z{k9v z{txqID_w4e0mm*O=KnuAYa<=O`Xs3B(~JZ9czl`nP0 zyp9OduTGgIxohWk9(TuyK*D-=D%htOu*YO3p9=(>JZOs^7klsUI`&;TOI?QG!BZ53 z+XkfU$WgIG3z0qBN0rtz0H-@fMRl$GPiJTbd)g$UVNVTJuPzud<8L9cz>L9Am)J z^|hdyjjDqD!h2(IyvpqWJ=2CNr0~6%@`$PRzmJWZ3eFau=*G=11VW0ChS+31mM`Eg zC5|hecw;1P_B^TeKVc@b8PW4j=Nj~d9Ah$uYR}Vci*(uf{-@{<)R;Ut#CNiV)#|-3 zt-m_PJ9_gqo~6GuFil)fomOJT0ClzSZ4JdT34%3Ph-Zq0GOM;fJ!%SU9lO&S-JwdZ zrL6c(LGo{qT*?Wc|3(u6{m}B2a00in)2Nl@hU`$WbHZ%5I%wNXL4})z2e&MUOwXg- zzJyoAnSunjL8THo_DE1e;vBOljRxBcF4#*+$jT^4JjF=59#GW^Vv{2wFkinzIYivJQ( zTMR)Y%9tf%3@zGY(gp_D$jWxH(mV<~SPOzD+`NgzLW=43McgI1W3j*GP4-J_-9AMH z9*HYuTaZS3JNkV~OI_f<4%rR8k~$`ssM9+6G%BY)Zow&)w4EijYoty}m~y zha?tOftT0r8ZY-6HfeJle(Ry*-YoNv%ydh8o^zjLt#VwU<9eLxkU_+O?scci}&S;t4cn*HY6}?<0k)m zH$62}k=n)2}tw?ZO(1Go%`GfHHWAV`o*Fo?9D@87lu3QcmAAyWBp!S)&ly|fv&3m6N=v)gMqDv8VGL=`yuZb`c^n95cHv?Y;WK?RzFbvdiwlcf?e9_XhWm)jzrpsixe4 zzkwfe|KGkG{Kyd7vRvv<0~<<;KCAH%DFf1`rp4Q-A{n}al-S) zUR3ax9KKnbuF88W#P-IoLdTDKfw&3N%Ru?;VH!WSB2r)#B5d}|+jzEmQ`BtG`vpfZ zXRmwb00A+GYp{!#6>5+sI*^#%hlt^4mnau_FSbVx@Wa4#n3rB?$uWUw zxj>}r>ka|Y2MMLtg_pZ}o@M*Org2mvGdTWM>d1GKq*n^Ugmx&yKu80)nv2_sAo*0c zkaR1~D+c=yU8T%D7L*ke%qDm{5-GDXa|}mRMUJ92dD7~kt^M1+7+rVf;wY=XItiNk&7#?b$o7peKy`I8DFwn&=wUasArgrE1w-#nnfS!8t=Rp?@NDf7wXkZ3NM|wy%B!- z0w9*l^cdwWt+D$4Q=`;Ody{fJ;$))!i423FAQ~@3$MDC#8+;A1f<`kAtyQ7iA|&A7 zGNx>ZCGTSfEG^FqY=2f^+Z)U!fX#^ntLCS}W80|ENjxvd4D$}@Gv()_{5;N{%T=^M zN0<+ahAjOofGfFP8l~zFhhW01s{4NODC0r6&gqT4eoV`!+@(yvI_M{p|7$a){=R=L z&q*Q;+2+|KjJ9+FQ-#+HrJYv3pu2d#?|0|YUDADdb26af_W}7=HM8_8pH!@SvX`ZO zc`{2+mLWw8emkzx5wc10!`N;Jboj6ThWb+?{#~uZX)hw7L-V)7$p+ikE(5Bec&hy}P8*ze(xzn<|UJPyz2MLT_| zq&~#5`3|AqWdE^c7d9$3)2yx(Z-;QLLtKz9wM$Gz6zfi+aVJYH6quf09;iU@c$36@ zU)dMp40~jeZ^kT97l_(FYSkiJpfP97rv|3D{FJ&$AAGRiVliCoz2;#83rN$bEY9zf zIruSYz5@l>=8rLo6Rp~5Z%38!XgKb*jG3iLd9EO5_DQ``;x@to*Lr3kUfCZ6)4&C9~iR(UVsZt-&VuvO<<)PnL?N^!VG=4!ESeB^~p%7(z1 z@Nw-T*V)KI$CyzCZaa1&V!tXjyophnZ?oWt<9i;nb1nS}DWZ`oAK+GpvDYrz3ne0A zzkH&6v_&u}-=BY}>Dv;0;et(lCxhcTN8Z;-e=EVk z{6ak49%Uty&=mUH70+n|K=kyZXfZlYVOW>g-Hm6Gi6pLtzMPsIt5{sdrMI;=-t=nF zv&Q_3_E6mbRWS6Cr8NdM_c~>BTk-()r|(;wuEV~Rj{1tZ_}=WN*=~sf5-O$k9gLC0 zqXG|?Am*V>*g;HEo4*=wjy3P!RpT#6`V`{W5(KD#?a{F1IX6<}lePmBBpNfvu!IFa zXrF#sU%uvDq3pPEHa6mL{HXdJk4jt6hfV6#nc@qR+SHe1HK#q-H-`|1$NiC~4{%^? z*lbE1*U{T72{BfPM4PI%cb9Y3TX z+hOprA>N#;b@24lZvA?}dMuoCMrw_Bg@Atgu{A;Ha_(2W3`fo&w#ldUi%V@HcMT9K zNQ0BA8BO_7dpr}avj4YDXFY*ABk1i^N>4i?h;mp@53YVC)xA;8|~-{y17y`hjKA%a+*rad{i1~=1wl(5N`xLuiyv}(rfaM~xq!eHwo)FAE6?7RrvGJzE`u)lN;b!l3LYVXN5*?HVdvF~$ zHlNY#=^i&9xA(TLGPq(@wkV#Pubr|focRT>?fobYq=L&Z{Sp%R?QG=o#3zMt$MCyy zyIj;xHL5pmA$XjMk_~89`12D$Hc8k2^fUzf!26CBZ-XTYuxhIFO&y)g#XS5H0pX!X z6Z8_|KWTwKKEtuwMBsOIMsq@Cbko5^4qE_oYJ(CP?z>11sEp4yXVYN6rIk?XeEfRA ziK=w$D)yB)WPeZ^kXG-b+SY0B(K%_X|Bkc{YNSe{tbtCzxv}c&F-J&9OL2n59Tzx7 zi<;Ng@$L;6SEg9_qOAS9sO?Wo$A+!#7Y@8bxISTPF8J(6^s}g=#i9r2b5wfULF{$x z$t(ZLrSZj~ahJqVxY7J1Dt@P?d&l`^vmpnq!I$!bqAo8rSLMn4+h;^nZ-Nw2B?VE~ z+DW@!S-#vypE$_u*$Z5yb28CvPF!fHV=cnuMJp+UAQwuJBBv683B6Mx(%DGf1D}M$ z1!v-Vs?3_kaWAi<<=Y^6A%P(x=%X^dKfUW{A6(UJsju;Zs>9YyT`r!KxL^-DNf!>& zBFjZ5=K4T6oY6K^!Uwf zTI@9{X72!QFpgiw&>`Te~ z`}D*`#Gsp{NV5X1WEfYNH*N(xMG`*ROnDLU?q;!&EP$H*7Y>-@i7-*5 zE2$89A&9&R@#pxbZw$_(sF()C>Fqw%LtJ>;In-`}gw(i6#5x9Nfq|<$r?b7k2 zcp~NDQ(po~zX}ZgrsG8cpkPgjKFSh2!ap&F(I9>Q|7d#epeFwBdl+dE5u&0XQbH3@ z&?qQKOXyVuMC6SKK><;aBE6(g#DG*Og0#@2BORoM-lg~62|Yl75R&ll`Tpklb7x*V zv$L~%?>+aPbMD#<#6|wpfwuQeH%$FVHS@1KtdRQavG;1A(amb1nTCx+a@Ey!zMta` zgAWcq_2yTXt=)Pqw4|sIip+?RnfVFn#|rjE?o{jcfXKJ6!Im5O2Mp=DLde|D2zQFQ z^e9^McK#Dvjv8JOYN)rC#eH`00f+X0RE;GO_sjDaPY-T>V|sGo(j{ZDfzq}pYz9fQ zlnR?vbi9H%|50A)@O9STTJ(J8(hE45EMnhL$9QN(@H#I~?{96L+9Z%Fil96VWFy3+ zK^3dOQdT23Q4pIN5P|j4lb1&1(8#J+MN2Mu8q#FpvzJ;YOFPKqUg;(v) z69eEgudG`7w!kXlhjM!Jbp2te=0yU|%K%DoRnr6S3^Rh&8TaLky#eMqmAQ`MU4U@P z2_3$LL!tUoOvz~&X0x)>5popvgPVH=uLsg!Eb$*5x-KX1$2eUte0no9&nSR8ay@k-Ml^9ba(vHYSG7U)UZJK`xOpGy+vr6nD|h~9h- z*NPYCs$EzwFxaAD^69S8d#O5j#?e4{Ma3Ks-~Z%G!OhT+AhR^ua_QWJ<~?pbd3S3V zUIfbd%@Kt*Rm8ADiI)(M>{fDlqx};)U1$hEe+6ryUo&33NHrNKzv7K_$UC)d82z+)~Y=HndnNJ`OV`D_PJPgYSWpz{x+#URZ;nHkcX2Mo{n*503!@LXpV-99XT+vkP41Q0J% zn$g{YV1Y!QrTu6|Gp%9p@b!l$w;dZQQ+R=n$dkjCT1PCaQf$p_I9(3V_u*jxZ!z8L z#kX|JIh63ew5}!=%uIX2srmuvN}3%?AG?qUF{Sis=cnAkcx25JzDihv)*2>)-56m7 z>vgfQx|s)yL%SXW&_ntzM=w(n4s`Jsjww3yTH8mqgbcK-lh;e!%Xr?N->EqyBDR`h z<}%ROERK~P`7R&Ad;8BQUCc~jx6k1wRtH7Q2F5StNBz^@B|w*cSOO@k#Sr|AbhWn4 zE}Jj$=wgHL&2v@OweEvA+0iZ5@h5}7GO4UlSa8QbQZL&U&)@H^M}*a7v=*#6xIgVs z_8H5qIYT1_aunb(R|n^YoxSWT0eJ52jpuo{;s?TsF9u^@J0+vqidX}O0(O2KG)XrW zO8ZK54WjhiZ-4dtmLkIC{X8`zduL#Oe5Fh_GjqOaE5mP1SWu-2=tuMil7{$u_HRee zAnv8eJPUY9$qnw7{)i(|&Hfux+>YdK0tS|wpj^T$XQqldz!LP8O}umK*Ccdtv%M|N zJljvM$qC(mMtSIc^o`bg3{!=f1_fUfxjR~3w^ed~^>?tFV0~(0;!Jk?UPi)#3oh>C&?UfkJjc*hh|uSe z%7zQcrL#hctb_8IpCh{uq%O8W_1m%fw-vX^S&U3>GYFLLzkwrRi9qsa$A3Qn(r&d=W4-nvU9iJ zX2LcIiFM=yer-vkhBn$HmXXJiC3}j%Mwj92bt5yceh;H6Gt*JetI-aF{FAtGCZfCx zI0oIIrQ@F6K z2hGz%8A6fyh((?ov|y7c%Xxwq)zo+RySkhX@3M<1WzzhRxG+5w?Z{{e`WIy8h|dpj z2BOzQmNK?Jn%=SC1<9NE_bIa(w@K(R$c8 zclKuQ8Aq?lXtpFuGgZN-a5e6_v`;#*OHoLhao^q<(&=gugr{M@hLE~%Vd|O6b%5L% z-(|rNpX~@7G8O8L0u~$#YHxUY;1Dh!oay;!bvp2lm93xWQG! z^a`-=Gp!B;Q6n8_DBGv_OOyhI(xE;R<0Brvnih{QuwztYphDOeTK}BC?trv;JHDnZP+hs3y^#@7Cbn;@5j0-tNyu8(pz)lcE3ldGD%#aLIO0Zisg~bZA4v z{i;L88`Faq`4}#nUQ_|=ZkHa_)02dAGZF|WWU8H^`JS{2Jg65{svF}F&4iL~Hy8x0 z$lQE6V_$&?PQ9FlIoRQDHLOggt5nr14&#>BlTZ}CI__eX{(wj9KjG~W(o5WwdflOt z$E(pYrEd!?Q2>)0Sk?}pC)5CHqL*K|KS~XgKbl|TJW1e!;qDv|0tzr*g*2_OT3a)P z8dc#jYh1J|`Ii@%q=S_LXMbi5p8sZ<%}vha^*?(?90tj1DoW$34s@6@?>%g2d1jwj zNzA0%@Od@j?E=aScnuM~&*KznG`*_^j^(+m0o6xXCufz7_48;R+kP(`oMz|(Ax0-_X6N}S-aHbA?|sMJ%`PECU|`ld2ujw{kz;;^iU3*)+FWVk2m>Q z3r}WGH+`AK8|S5f`By<-Pru!g=5+RNz_om);Euo)b)(H-bakwA>VxD_IytN@kOGh zRVcBqQ9%(O)>ziE|9>31P|?_AZB2OqxrdiPxo6KLSYjMubLNDX_^a zIY1;ZuR#C(8+-pry6ZOirqi3-BaFTs&n8pAZ+Omxdpi%s`P`3a^_gX@tmxX9B_4Di z+aH&xto+x^hT@Eu9XoQI2#*6m%BQEqx!OCA#M}MwHQ=NkB`-%B&nEG+ZM#%Xx zMNzLjjL2p$ME(#=f-L`FFLd)!x2>1YOgYtqCgg2e5}o4$C2lSFQMqPIN;*8zdLLnp zO@ODSbKmbJLv5w;LJmx0Ybr;alkijtDfQAc<=NV=6Z~EQ{rvWSNw}$;JXd(~(fdLs zT*ldj{#&dSX02F{>pGNL``lbVc8iTlD_9eyTl&K_wriWzQQ|#|&7gY!`6g?YR@ScT|9jWmqmXw`TGyTa zmqBbohwBNHjvKsE(G9m8T{#XT=<|^J=!bLB!|U|xZE5Sb5_C3DEb-4uV;15}dtnl= zhyV~no&>jrL4U^!%&?roF8Jzdq=k#-YY6wj0!_>~a|StXxx*#t1*WOPJr%H)9oNya zu39wJa}(yya^VjqU7y3n)1hL#M8}aAkScp8RYtAjzr&Ci7+rqzD*P;~|8UQ5UgIIp z3eItJQQ-;zp7O{)$W;;LdcccJ(vQqlrDrgrl`Yn-&aWe;;4yIC@7T*5T@&*CX6mk55a- z`6{!wiK)AfQ0-yVPq+4(6OP5`*NWbFOC|GX^KoW=C30I88gE30PCn-Y6v&!T-GBWS zE{gwlqTh2hi^;-Iy7ZD*uw-z~$r4S|KNIe&g>-tceH{4G4?s+9Gw$hWz}^)~z9IM5 zG18duNB2(ZO+-&LE>@yg;-ECHP{Rbc$Cd&=e3Gj^Q? zVh31KQ5p&51<4OIzQZi}T z>x#VK{!7o}4P1m&Qxk6$^8|~jXa~7Rgb*6BAl>>}(;LsEJPdG2n9Yu%eyWDAZVn&4 zJ-3(q8${{Nx}q5~m8i@Z$&PdESzkZa3TK$eL*GF9idHYq*Ie-tjDg()Te3MkA}Q;j z`+tZj(1Swq#WxnJ4aUy`Bu&U_9>=W;RJXOwZgihiym!3Z8{t7d{GZTMLBys0G{amr zOjDIok>4B8%pT$kdlsv8)v4nBsash~KcPEM_kdBMS1XFf2!F^qqo^nc__sc*-#0<; z_B{G>$;7r-Sz~UH=aoaR)o=Jf|MS>n`;j|tcAS~ZjLD7YXc?BSKys=j z;l0`60PT)1xwomn=4QFDVgNOpbZ|c+J67Jv{r7FxEZd(fad4K>g9Sxl#Pw?dUUgdM zg62L7HoR!w8{$}ayNydHR`{=DD$k-%VZrpZ8htb7wlV!F?$zq7&HwB$<)iw;~6CRj#h75z{8}&MW9+5Y|y$lT8uDQpfu2ZxUK3@i856Lk~Qu4;42ELs8 zw_k6BNv>q}AC#Fix4%@z>&po5%DzE}_n8QJwWu>Kr}d9{e8bq2K}oy{^jXadE`J}? z-`i%W*I(4fz~Z%v_7;k!G%cS`*s0BJMo_eG_(=w%%^v;9OV6^W=2`c)_TI? zk)g-?Xx3K;jS^s5U`30p*QXTnD*?-R5m=sxdz#_{b#)y1r_-pS29)@(QOtYvAo&LIi%X#1N3{r%4RQq-FN_vU*|N6C66Eo&cT6OEh zK=75gZXasV6+MN#*$camee$cJUu5=MUb<<|Ga43*Pj7ou(lxE?`v(5~2{rs_^8y8| z%aN`R9ZBE`4-HA8+bMtZ@1~*iTVr`R!wZsj@BO;ZB-O(0G9JB#p2m^Vu(Org0FI~E zC?a<+I-(!vCPflFA$%%`vFy5S{M*dnzNzFdPhh0K8+Wwig1MXYF8$K^qW^o%X+-~0 zvc$>7nlE{Ja>z8zI{5H3w_SGN$p*iBkhwpGHY;4^thUn#-L+8czq<6OU+8tz9~LVr zSy8G08AK45HYGNfY8 z!*v3$hsCP`l&TIR&RwqUy43u}w}1*xZfRa8$&0*#c@EAGj0&T4PAyfc%#QOtOMpYP zSl(v6FxY6y(MNznF-je_M2C1Ou-u}DJg_2;L0K-~!lBhd_5ujjc02vb=AMGxECIVre+jOZjM0EIBBwZ?o^wojJXckTXxgAtm z&+p@WIi{r^N(y%HLWC$3dV?F2wgR9&5cpcOO^Y2jP4aW6k~f1H|9tHGQ+|ZDbHM8u z9Y~o?XFWwxc@Mu|2Ni;EbBWW6plp9F2hY=e`}|#ek$8uq%Gz}o1}yo$o;ieB*VEn} zZgJrAR*~*)DV99{d9dt)6v_C~hK%6l&%8#-u%zA38XFRWt$Nf7H57IJ7M)lM5R;s| ztQcqiMP9DZ+9~;d1osEQ-fGu#0~cVwBxlcACS8ix$+k+_CWaJ%BrqJYW*kqc551Zo zEd9MJzt2K)YS>-uqbzx9yw-pSK z3}a#ta~yQ)N|vc?ONhr!Ogr7TNAWdufn%?25o{&5RSYdhukg6W$w-|pCLXM$5*g(8 znVsb0^S#$j4g;2K+1LYD?x1^qv3y(=&`^1BzQFxqqD>OVn?i*Bb_Eis?b-*gh1cP;9t` zsho_4W<15JsA^0V;pa)mA^BbvFjSt%E4u9%A5UZ=$&ZbG+Ttz2HV;Gy}Cut zheZG^M`iL?9QI7cwVBLzH#1$uB0tirQCs1=4P}J_m_*w;m<2Tm{D<#p9Qb}I07`fJ z@ynwd$YU&JaXdz9oyc1B^VU(}W&k5hw{9pvWZW9B{}n>`i9aIiatkHjZt#O=U3@?B z$03mZ=T1zkH*zqWhW)=CzbY62O`mpHJMe~5m&Y&SflmJ_Z~%zB>iMuXc`GrZBvIrj zk2d7dH3>yY3%U-KnimQWL4(UB7TednFHT#cZS|&)l!x)Hngh%qHm0O~YzHbDOlS`N z4Ksrq9L?o|sq2s2HQ{&!U-Xp*{?)F6l-YjGxaU!s+PaU%=Y{HL%>|Z4sf&|NV#$xbBJX{+F};M!w-w)ypK=WgpRi({|C}ygbSXAfWUV~@rov>ob`WA9Oj_u-FyWhHdaW+y z&GuvTpvwhPy?`(TcRu5byy&zqKMknQlFYS1{j?=aybGrrzu^=r%^Ey5ANuT+kS#2A zd~pk~qa>|A`|5xeA2xv3v+u7K+1+itl_)I@LeMh3m27#%*Tq^OR z`03J9akey@>+c7C*PQ5L)}fbJwZ;N^TU`DEjuo)OZ^aHxLR|ex9jxE4d?0L$&GeTO z7rLaD9?S=|Kv&lGxt#0`&(sG#&Alb#Uq+oi29K*#)frz79t9SApZjh1SmiG#o;KL$ zOAU9#EwM(6kXY*%(9PVvzyG1ZYiM#!n;hJrFj{1zpVs-=t{;`$c9;7#d=b3dpA-QX z=n#e`WS7mKxn4x~iztm(5ZM<9J=^aMO-)chdge zj9gTaC7u?cPT-zKRp0~OydrG3+Wg1DIgeDZ`P#{b+qH6shi}1pu^1faTiK2D`3j{4 z4dv$m@S>(`tb@Wv1}kkTFx8n9cTnkqXG~P?fM0x%aeUB|e=M<~*u6TJtVAe=C^Y~& zk4dy$J&d>=V06a~rj%-G$?IF+ky`T$*x17V`4J6eFOWq_#5 z?IkhPsV5OI+uMT$)W{I-&dQ$6#ko$e_voQd8q!-*YmTD9yCg(HJoip!_N`h5j^R() z3Yp2s{fh(V2S>7(pLI|1E?jISbBDm+02F0tc3b#59aS176DC+7gB;?MXrHrplPB3V zez&I^a#d2x723m3bfmHSTQ)8Edu?VO8Pnq!Fmg>H3@s9wqF1tQdf9K2i>ShjrQJH* z5jBRLYb$Vd4?{;6dAov=To9XqqAY z>f#NrTdG-o=TJw(c{)dKI~_2_1^uKXR!V9%agzTUg2?!Bw8dw8z^A~y#dGhda6876 zJD95%(WmZgjJjV>LhY+WFAwluLj|gA>zq?f}dE!0Gl#md#P=zz~ z&OH=5G8do#kB9>z2a({Wh&GX^H}Sf~8?!ewLAVGnZ3lNfg^U~XHHg<(# znv9k&*((0D$o1fO-py)@-(w;sJ|dTqSK_^Mi%Q~i*4d{Vo~IUr*hD}1|4k6;l)7ql z=UPbyK=mG&BqtSm{leqb{;NxU28z(5%3yZZNFyuqJ|faRTHt@ZqC?q9^p~!XjWz6` zpdD10jVd*mA{&}i#js@OmAj}G6~lgh@V=LMby{Gjl)L;ASaVwVa$-LHmVaX~v%YBR3%!K3ch? zw<^@@adk76y$GVnsT3C zbOL?~07uo_8&XXjSE3gM=v=;qhZn6@-J{_-A(ys2G8{1XByd&-M7-C)a9HH8DZ|S& zCN_sc`ZFUql|OC&{gb*wIMjtNxOFS@pQWBg`Ps&t0Pu=&*{Vsrn6$l{2c7Vj7@F2E+aEx>rF8LbG7)t70nk z|E0TXk4EqO9%9HQj1p&ua)T}8YOdOprR(7;(lp~W3=&nv5@yFt#yy6QpOKGO&))+0DY`|EOx?lx|F9m$Qp4}pCK3-$8lTLPj&uR+aj_X6~ zQO6X{XXIOdRIe%j4nUB9l87xoCypOX9~;tX5{4 zj=eYZ7RzI&P%fWWi=&P@y-Nd2<30|5)5NMS44hZ5r0RK zp1(GEd8$rh>NXa0{k!|npxWP@f~ME^%&*9`E));OG1CPDk-v*$?vEe8Gq5CCRPY3( zjkmVEiD27%0I0Z2;vz)|@ z7XvGuP+je&?h%5P7s;T9Zpqme>h8Os_I2gd@V$dvDC#FNGb;;Q?{qIXg$diPSFo%2 z+pmAr!R5(n7Uw&$rL+$ywkWuQ(9n^L4MJ%4A$|IS_o4XLFF{`(ZKcfZ^;R7`a(#wr zKeuImDoj$K-?NP=`B9+#@?wpn9PgdL_?xof_AzEJRdIw?BX~vW>tLEK*0tvZmb-d9 znuQH%A`-FH*YyTf;#rWKx8DF7UnQoam+pDo$8jm5s6V!h~67<;j-8^FgyH2kt9uxLM|vuE5dsJ&dIu*VIs@^VeJ>F zzeU2j|2HqFh3#j}SMB5>y@-oxDCWO=?y?UdT84xG$LMjoC(({m;V}_B+I!;oOcdhL zm){CT@he*Y*G9QtVffw}ll$!=9VPN1!bM~g5RXqaio`VsdD!+7xJR4WW&7iSi3$8tL^EIOUAn)fXZ%2~+9RtcmSQnh-G})KAld^aQ zQ^sQTcxtC?$edpHO|PnjRZEdnJZ7%FpWo|oLvX`}x*z^D^)a8vGQ^2n_UUG$iApyPh1>GCpf5j)`y!kk^;F2C!Q+91hq#Z1eOjp_nw-*yzO z^DdoK0)+N{tKP!Vfm$5n9Unbz2~0O8J)oSBTkKfEl+4BM>*022V`uqY{|}g`7X823 z%3JBPfqA|nSqCV-SJ1CPej_|z{K3D;?B4KMydOr46Q+l^Y&nz{_SpB5VKF86ee-5i z?ti4Jk@J-V&5Ahvux}P;{`-fVDq&~Yq1z)Bf2w1Q(}i^@KWg}HUQH^ zk=|hEzIzweV@~s7T)6!0#n|LPFkuT={Y}Jl2-u`sn!y2AOS$H76!8r!&RgT>;vEc} z`I!PYzC6in5&o;>PW?OJ+Jo}kFLR-&xBRfm`HEb<(1pej@+($VDV3g%N^ zPk&Gm>hY`9=y^umW`^Du*f@>>G_9)xr3Wi;AiBYe`3H_`Ck(m;rxIyEvq{JDIDtu- zCshZ5nSUA(I6V>*$dBz@4ZQCM$duNw3U@z8&JrX>ivl18)~=B~c0C__yC8K8AJ6hi zvzNia(sYxcR1SDd)&BJI@SRTy?+(<`H5xdz*mSu2sg+#y$p`3&Mj1*g;66odqiXCs z8-|Y$C+MSj2I8$Ou}X3z1ZeJYx+yRpjcFP<6ZEn7$Rm>O3K{bVOp;%~P2dKV>Mq=&NYm z^L^~%dHM8DkWY`yzMezfs{UGj&83*rYu*-hZYX=+@1Q9ln#0b1u1n-j1$)}t!J-zv zn(Hx;N}j(ReYmx!vjskTf$0(Qi&ZH>{9lKgS=;O|P1DRN%lw$$k-ViehNq0@rJ3}d zKKx|IDM_<_Ac^ZlbU)FmOdv*-t}cI_OmNOiln_>@W^*9OGo|YpAMBUF(iUU!8k}BV zH`D7!=8W6X!E+Fjs>sAF8d8{gS>Sr4pL;HqdD=L~b<6O*pzNwyxru8Yb`5Z+yBqqJ zLnZq0t)d8eBcsZZ`xu~Cg|Iqu;UoX=#mDwY%kEo!Rt|_x5_f#>g>&H=aEnl|t zh)!YlFLeblWEGK-lxKcj#mi@A-pIMDfBb&r{T3EE{8enBeZc0cALomkTX&}(9Hl?ZnT9C)vT8>tyy;b^nY|@_ zLz!p7{ZE>S`YrL(g;SL>2iK@4?cu=q?N-vS!e|n1di%Tta|2S2h!acN%Pdu;swd^qZ?K;qeMWtLX=rc6) z4OP{!$Mu!pZU%mocbza7rH?AUwsy>lyc&Oh8Pl|9@rj1V#quWGZ&`w1?PfK*m$im) zDRm7<*KpJ8YHjaM2@AIHIPchyWOH5ZZ1ZTZtDev&aCNqbxkO{={~Gw!^*7E7_-ibe zikEtDdRHaAEH1Us;=O?8w;wNl;Qy9^15ySY$FrIbGX#GIibEzmbLs9?4CIDIWC2hA z*?-pCr;`fu680?J(G8p;epz`+3gT&giC4>c@l%ZsEaHL>3uZ?60V}m%f3E*ixAk#V z3)nEkIUIbFd??vi{kuX+pe~&Az)7z9gXn&yWxIPSImk6L*8Ur|c}7}D6*(?5C;0bp zo$u4Fb{Or0x39ED`2O@z2b06$kbJ_3SWv|$z~Z>)5?!o=4+ALedlyv5ZSa@UOi(1j z0NM6ROGHjXw6NKWbQqXnn!u&4elBke8%mAVYz24ycbY!S)D96gnu^n1&65h==`W-G z6X_|T+(OBuWLn4jrljooj%CsbkyI?X|A$cHCB~)d+8C3CJ zY?@g#!&+YO=%GC9j>TRhSeRi_MH4?Egx=S?_H$Wi<4q$G5pQzA0eK!T`{~8NU7C9K zLHQfW$4%1jNeo3?78uv96dB(~JT>?C>(*8juSO@chkuHg;D6-SyWhIU{2W1VY!(-CW*6rJp&tg01rH#{nw1yDR-9k1;ISWjm8Ns;-NV=`zhSIy zyLt1N2AQiUYMV$)6%{Lsi}e1<2ardt8=icFom!t3IKa)Wly3o+9G42WF#)MMt1mbs ze(D<$ex?M~M}WxqF8t~FNf%!4Jd^IODV*)j$x+!fhSGbA?*S#Qao~B+wgu5%Q4Phv zIX?$Z(si=roejvTn@`yz)m>I{E9Padm8od~9{C}>^928BE=@)sQe)Xe7G7}Z%_Sc4 z^Sp*WKr#l(3Mmk+`L;ZdmE!3}3QFO1>o$Q@QT<<>wMAbaD(n|{El1==Pz1)hMH|)P zU5I*zMpBf9Zg+r#ct)L! z{kDLm6Q6Sl+EqzI>njaE@$ox@W04~pSo7X&D;wZ);rT;Q1TIX0JN4xL#dXkbkNK~8 z!sqw@feIXaaFxHi`}wof`+vElFAwZPF2{-ud|=bl=}gmu`@5|r?cQ*Bk3d>~m7>(2 zSk?IdIy{#CUJ9xFL+;B-$v@U-93x%fwS#33!GEb|gV#UX%kMoCTYrZs-aSDs*&{7& zk54m-0&G7rHhwrlmK0uBZy8|Edg?#zp55Q)8{O2bdBC8-?iwb($yEkclGyt&@BmQa zC4!o~VDAGupA?~~eE?^V91+{gP!1+M&)?uDO**+VlmVw6`2D-I#`d|7 zt@OHnJmj}2sahjqv(nTRySu(|54Nmc0fL8Kn<8><`B@U8J7a5nCqLt}z7cb3@*E_; z1V@ykBQIZclj1$s~766|=ji$i!{ZK{&Rj&5u6_~o2fd)t@U%XyT0*w9Z$hk=TQXXrDB{-^zNOn0emaqNINy z#AB^6(sUDEb0DZTZKHd7%lm$TtLWE;Ys=sD2{8>~eN?zLClWDKeJRSV%uz@K zSU7Wewn5n2^30Gt4eTedZQoB~e2%yeqVncI;r(=oOE1n8pWSsnaSn6&xY2aBDtV@e z=HfQd@!B(xM);#4QA*O!2qY34%8U;gBs>VvZQ0WuDQt5o3YogPclvgBcFTZL@t=SjkmMY`4e5 z^X*eDie9U97VplB& zqKU+3-IuPNP5;TGzwL#C6+`#vJG>JhK9Fb>M^M9O(9xFI@w+4gL_zK+y^k?#uTae! zKptSyw)bsNPQE-%{X4Is*@QcTiY}%qeL2;V0l!u_zJh9KdQ^BTTB{n)_oR7g6nsw0 zS|)Wc>5LQuoIrU}x=s-tVoP!0Ecd=r^&E=-hnwi07G7>TpG%KKP9!IPSyv-BQFRqY zvZ#qvP2{6vfcB(n$Fkb6@l+whCvTmaGrCir0e2%=>JGKh&W=BfHR(Ut1vqDpB+X*A z{v7(?A6QFu(Q;yzPz_%4JGMW;r_xFol}P!z+GZp^jQW>SLsDDPE(_83E}rS)s0%=% zz@&_Gt-k%Wm9cP~v}To0GkPT*d*p3;{Px1%S_-F9uzBK#i#SC)Cj2as3UjO-s>*&U zH>zau?4i%}datBG^jxtRVFyhB_F-OzW*hEwi@H^k6*qpI$|E&VFU~|YPn&`M6B7rV@t7L-mmY)CPfRs@D;QfUT(T}8Y$>{ zF?}xb^N{wHLd(z(D1M~Jfz|;BalT=v`ATa2uAR*oH{Z6Du!U^jAF(9aQ6bWsmWeoy zB6%MP{_v(li3Fv7@J__X=?VUBri;Ol?4L5kOhd6BHQplbfh|5w;qiDQj?r(`Rd_A)C7cbR8)qGmv)3$rRBpQHz27o+!)FTaje&Rg^he0~7Z8&zNK$xSsc z9G7!tE*HOTF!?9iH__344?$09dAws~ovufT{lMmO=Ogqd+>P0ihm@&%NV}DFg!mDN z(J5$qQ-AGUSqO)q+_V;F+_tTl>xNxn)c2^rfWBud95XR#%fHRKIOhiKAI#18e+U7d z8WgLFXGWkQ8^un=Umv25mhW(wh>Fb}${SsqQA@(IHoF?5R_S7OivQM32V ztIvx_xIg4#r2pJt`{m!ud^4h*N#?&JxWEU7#I-fUZi5k7wiWkFC_z*pMusxHFo;^Y z7|{g{l$*X{KU)+T>devDF~u?OTX&GuW!>#f`Nc?(Fi1Lji`Ej2XS+yr)VDi&q(VlC z!^0PQ|6@GEZWM)4y%&GhGyOfrBwY!bn@D%5oz@5G0;><(Mw)f#=6ZY+hLQtM!7r|w z<#d1p`qPH&i@e}?`;7;%F9A=C_HLvQhgEJqS2X<{VT5ZH%7`TD@yX z5>5)UHdkDrC2R!kzPk(?mPDF>KZant%vr`8UqN$C0H1GroHBKNQh@GX><=?}7u^tt zZw2&i+=bvvH_}`H>v!3pnle_)Eq?0+;5ZuKh1-4>UZZH}SbK@`Qnv zr#?R*pbDW!3tg&wzj) zDb?@jruf;9A167&m{_|jDo)MG*`!6fz zw6Q-0h{B((x8xU%)$#4TXHx%`30@3dU#&aI{-C|~VZ~+;ARxK*SGMlaWMs)dJ7kl+ zcgSb7vh7YHm*@UhmY%)jhw5;-+W@gA^V-!23(ur!v3;H5<2+pLFVIWNKwNN3Y6oj& z*k(RrEBA$omHdDbWqMnsW?b5ivls4Rzw}yIk;C-xiLuYr&IBV@F#z&F;75YUnkHK*sxW?_UR6*^QxSlfbKiQEdwn(PJ zOi5|{OwqJ`vU;4b?(V4)^EQ7y7Z~0S$yYV?G~|0|t|c5rLPd+r!%@i{lf& z+hD%$_%@p4Iyo|><_I!n2xHeGjT4wj%Ydh8P+#%AekOwsVNv5RoxQE=Pi`5b&m;<0bX<;a-!Vb}5h`8xO)~#j_JWl`AGx|-=aW>QhQ{rL`nEcQ zo(yv!8NzUmT)W3Y(_X;0vO-WulWcgUD~@c{{<^-S)dpvrt06uGD%R_nIs4EhyD{$k zq~v{nkW5Dj5CKItoj$rR%BAI@v+NPn%Q^2GH=oN}Xt%V!*Ihk0o#p0~Co82oRQ@!C z2l%pC`%PRCsz9Rk325r&+!Mohx2DgA55=@|3rPs(Yv`PF8fe6`>sn=HuO%kknQnp` z#7-{$WW%OdF2zr{%Lu^Zu!b+ooLRz2=1)qRbUU6XJ&$*E4+XE_zrToBWmhYDj=XO; z$6hlyB-Eb=eQ_cC-=F@sF*;MMz1kshmC;r9YC-6H$}7>7E>`=*l1pa?%KlC1w2?zh z{lM^%UG7A3pvIn`i;ob*2_YMDk5PB(4jW9t+pmqD#&o54{V_YFWX3+AL}R77%Ff>? zM6kM6ndg0PdPvtJRuFjZR#y0hraB{yu&gUUqLbmH&{7~Z2O#FO642klsNG(9h*fgA zmc8yryZ5}wkE-j#{MMF^GlJ#k8_S`hf7n@v{8m1we1m@ipqp{v)d1Mt(83OeLO6!n z*I8t_urrkbif0^B1q=_hKRH{gmwKUnP|Lrv*MG?DO25o*vmlsASC{-1?WAxmEpn| zK-c#Fk;i%Ja{MOv?_CIScW;a~?K0_QDyj|&-Gl-pXa}Gw)45~bI1Gj&QBJ3rBOz& zC64BW)}&M7I0x))%~8gYj<@YkFHEO2v{2ivPDgT|Bz1|oDiSu3ply$KCG6Zv;mh+O zv)(9)9rKnTH&k;OGTJmPH`QR*ede?|ex>P_W^<{{eHE?nHwN%Cd({MV(&8fo!P0Bs zAo8GwtOMTPzc_Urplf06!0Vu@b)8nIqvxtU3w_09EmMUsI< z0?q!gMY+TC8`b?a9G4(#1zCAjfocOmb#XgP;#ZIt&u^bzM^YAqnJ)h^l}I}9Dt3N( zh+}!g~10KH_=f;$76o9t_ zE`nH(Hn23$k{|*LrP#Jg0Ge59+n@Ob*xN)I{)-zoBi;{{&M$KEX}G%RqVIfm@zUw% zXXL)}U9-nF!D~Tw6J^KL#58hXzZXlE0t1M#zV|Qb#u&~aIJ3%>8^hp?Tgm zxtInbM({947D-X6;6Lgq6EEw&5x~&byJMe$q^6r*6+3GEbtzc+dwTs$>G z;Bc_X_wuOKh6rUF9dhpLYi%(oRRd`wyo~`}{Ee`oY>mLvuJ!tTOIK{5_azzE8iDb_ zC{((*HVj*Ic~Jf;G>fW7ymJOSyDr~NZmP`gtK>*;YD@0JOvqoCVU#+_rMjPRQ>6(d zyV%)ZmZ=;&@j8}n{GcOr?e5RyI+k+K@6)-VahU*c(kxkFlwwM6Im1bEl*&{&6iP_} zCYYtuwVF`__m~$xmnvq0u-)6L?E(+|>a4**x#pwyYqQtc#7J`;l=PDwhU(v4ruUx% zTJ%p$3-VW%8%r;@Bbr>>^y((mHDP;yU-aqT^KFyjj7lZlqcmbX#1gr^0Kl|(f1^`T z-xsy%>ImI@;vhs7+Sf9d(?92R-Vi!|KJ`;Sqo;RQBIuc=eD!fJgsM8zD_rwd^D9?F zRa8-=#loJZ$)@k;d$=4wEBoG|rZ*!HBt69_U{N2g|s0jZ6A3h|B6l_iEBOronFr4PXC=`zv_^*RK^U&G9GFB=lH}Pc$8zb zI1#<%W`dejNtxPGy1=*f%^dY9zHw4Ka0fiml8-m9Z@!2d^(r&T77>=y#Q^m7&+ZOc zvFTGfU>)+L);^!qF9G~?gBJebG^=nD-Fkf{xG&%>;${j9R*HAhPXXMx5z&9F8M8bK zO|!3h=CZ74JE>qt+5D~UaPORWwJU>u>;5h6B>R27zR}?4aJ+dnt4(1ra;=*!FSBLu z^Y^Yp$F39;C5RDP;?BVnk>nkC6;0%WwPZe07JK*c^c`%1O6v>gte#Tw-xfLSF|~M8 zUzpLgF@B2rm-N%1l)hGgW!RFi^MtiP7TxhQqHJKvS6M@M_`dwS=;for%VG5xQ5~-q zt$oLNGIQd$uBS9}i$szS3w@^yif*b?_dHDL#5Dm}XPJ2;q$UXD@TtaO=+P?02Uo8$ z>io2{qMxrm@)L`K;To?%uveTG!7L-*B&M$(d7J33Ebu|uB`;sC{1(6M^JE~!I0-yH z_mN`D5Q)VeX$%9YS>QNXcfdYJe(H=qN|KDJc|G;}o@2NpQt#jrLB4Ih-HZ5{$)th~ zO**GBDk`_lcdCy2mS{DaW3HeYtKWpTIQ7lZuLjaV^mmyz{IhJwm5v4s*)X)dl5r@kuIj`YWnWf zqU}`55sVWFU;6(EPgui-@eNE$B}Sdoc=xU>F2P$Zwj&s2L3O+5SKm4lcZ|nvEP=BM zT)%D_+om3Px0jK)TUxXoRQ_ajzp!fv?t1z?slUHmu;?7mZ_v%Ja=b(kq{KhF%^@)=CQkD zu0E58)Y-Ky!oRdJwO&nmuOsE1u^D1YTtN#x^+i>&cdkOKV0j|j3Cs=Hl2r+Msq00g zy=W{Ue9^w3v}=+$Ti~+tJm}#>u>ckSp2k7rgddYjX3=hlpef_ug(01z2YG=YSytxF zzivID=z;}9Urq~*bUMn2URESTsiVSpS@#20vCp)8`R4&Slv!wC^zuAadilt({3@{7 zdv!k}7CafhhTC@NSphb=c;;WRADp+8cm=OIH1+<9HP9hYyJ6w)7(O1~aNWDWkJ=c8 zjf!M?iL*>!e0jPkL2byoooI4WVb`KjQxA;_lASXMpo@Z0*v`%f)QyQ16Y08`GOf7! z{jBg*yCNXcEhCe*;Nc*=&Sa#IPNhb-`@>8V>Or@&WXxq(4=a9i@2ehPHEApD{y}*j zw9SHOqK9h_S;$@7kZs@-rt1)oS-Bm;LZa0NF3cjr<=UnL>vtxg+{iI7HQ#~SWAn&F z!dKW`Z}0Y*_r;Z=rRO>s9m(vsQgI!#`Sm^rVaYL3DD~+)%5;?U%tW}t5v$J~Cn2G6 z)UNe3-_H)@clA?7=C6s((1WM5E?jWH)^d#I1qJZb+x^nh6NB;1&G5T3dd~wlr7`hD zx^~vX@Y5X##7>orkHRqb_@$JRZ?BglZ|?cdi5oc4JhULHx*JJwg{azx*#Kt2^`)=F zAN2d;1&8SI?TOJPB@V6ye%E3v2)=C4aLV9%jncQha!;C6F}~LBlYnwFVOd|;nJvZe zT!Lk0%RC|3RP>JHrU*7$U#hR|Uf*C*%Fy9a<$TcZvK$l7_TUhuj8tT(iJT*?f$Q)& zcv8>!U*O*10$o$2`dpL&z4L>&&p>`l|BnUG8k&KVlWk^c?9@;j=xcE$cK#-#@l9Em z@;*THylB}>(W4}fD%|TO8QHbDX>v;W0&zFDO7|U5G6Mj2Sw>NOSqf1A<+3J}$k)Q@ z{fBWiWj|l9wcu4Vg{Uy^Td(t&EunZG2d3n1%x7&?$fHj^nR)T-wcqdeH@^eEX_;Ai zhU}1I-G{HO)1rR?q>`vPWv{393wEugVdmkqrC)YFVNlY~zWd6`DB7H_5!@e+jBPgW zT{b(?zHE5voqV%vhZ-h~A^<`zl9lgW7AU7?60e~9jTbhpjvj~;uDD~?Hj@&qW0U~? z>d-M+Ai`D9^T_&S4-9*VLjd$kxnfvNy_-l+FmhX}iM_-Ly4nlmC^PXt0V|0N@hx_E zhB+r<-md6c;@uv5NC+k1CiLvrb#&u3w5l{xIZ7>f$@-JE{B*DhS zO#yaIWD{o>X!!`{kv$MXi)0PVzz?qYy6^&c9toGSa&jb`pNa7rC9*zfRv$Yri0~mO z>)%~uZsJejc_{w<>VFZD7W2}P`Kt>|hmHK*lTk0jxTe|1J-g@#N=rZAtvOblnw7p8 zwL2>_LkL;KCVn{yyw9`pDKBWjpj7B5B`pq|blD~_U%wn|BpIGtZab-DdBc2Sg^%1~ zm7+Ha*P!ZSp7_F5ZrHnVXNcO7}c@vb(x7f%0&g`OF~-qm?#l^H6II|MeQ6$!i5 z+CPq2A=OEAoma)=*FUhu?Ka)62%Prq{}asUyJ#x`m32ov&3Iqv(*Uvvh8Nj&=LDpNSYG<-SC&&c|9n2w05$0*ojuYD`O7Eza+V(x(>j01pu6sV} zku156`H9-GX_$}2srNfcDz|_b90&)lLG^zA>?N~(A{>xG1-|L$zsUzlGTp8l71!(T z#-C28emgx&z>Q%f>dJ<4aGvw6rOokugQ#vgL2IMHDtNohShA7&HE`)GLtf&ce!-ZDU=@aO`_zXl1W<{lT`BLqQMGkn-#yh2@)p|S2 zL~^(t_^j(Cao2`{xah*Qf;xuY{Um0??5-G=t@XBhP zky3S^XGw1fMME>+^0mJ!n3h_kb$DO1$iNi>>@xM1Kx=eT!Q?rjW|$~WB)tH+;Ey7( z>4P&Ljk9isISgO|2z5eusP(Ng^_bMh^y&G$#`#2Eu82n+Bs@AsM1U8xj*j=q-XaQI zzPM(c9QYhIzdPRNGG!-z2d}3z4Q5*rUOJEjTz-G-DJzHyGqgvhw2u9(v^~peOf1_T zeOL3_2+{aK%5A3I$9!iaBD-4f#z@oMd*Xf{%5;x#_5L`u>t~E&zWxO-dZq{w4E~tM z_)6m{y%eH3!+<2do1<*3vp+mA9QT>D*)k&bYCXBtQI~~sMzyG!BDZJ_XX7+rojayd z!q1z>BAuxFyfvz>DQk*<8LjEe#0-XpCi++3Ha439sYr87!3QsHgH|z6n)CAfCEWH) zd@r2VD)oskNAZ=n6|iPeQ%_@MyZ{Ms{TDm*9*7o|HVLN_?cz*z3+k?a_WIHvU%v|3}P1{u;b>RXYo zy=}RMM?)M%j{l-315m&lOnLE-S@EdBTBCz1>`Q?C{1lD&*W`q5-<(<8vI}kImT}T5 zPVE0nqErceQTG^v7m0TGuRU2N*ya1u&wZhP^sk1ODLX4W>-*{jjz z&g}a;XbKn^9h;Nb-U|$Wa@mqjT>ihkXj~(zhKimauT(vi=rznVR-T3KgfIMA`HF$1 zvgysM^z!xKktQ=guoPTO4x|<@nG~nv-NCM~rlDr8oce&3FXj7}g^#~D+~2DF_Yf7sQsIUW*LZ?nD)XBM^nor?-&!$5 zKQjSJ>_Z^EPy}$*`yN6HIHEbd=tE9ZBz<;IV4@yHp*J zTn^afP3Pn&+cN!=ywjS|EIV445FAx z5-hWA6ZTc?sDDYEd?wi;Q+2fYH*NCMi^j+-(ZJbfz~jkBV(a5_&1-G>PDyiNkfydy z#V_}>TzfPhnPHVq=s(Sy4FGSbHZ+_O@8=eYC5ga7xxQ_zO)?gZgO_U?VU%w(JMl9H zGTpW4BT)ojH}r3 z^e(QOK1%V@VzhdT#vNpFg~?c|kz*t~5N&~7Gm=|s)h9z+K*jI&r++n4QbRFMUiX6| zheIujk(9|&95J^CZ}`1GR%%Rm1P#gT2UQ+iQf(r?qLTu_#+hVdfM5 zC+P-dwiiSd3NEmb^=br09PO8vs%JWO#DDv7j}rvUKG7s=q3Q^8bm+Y6wiH>Dj_Cb> ze04Z5eEh0c=ZeK?OS#EvFnr=@!w#VhmFW(86t2{%JPqr3{*NS6HD>D= zFK?d{=H(6x(@3E;Ns;}>SnYpJ$H?nt{R`ENEPDE>XWkEW`l$*$A}8;U(}a0qJ$!P@ zP8n$Mv`_JM?`CI?4V5xMgH4s`8WA+PQYQ*3|Bi%XLP77~bgDi&1=#fXgSJ0XwvnwW zWeG(@tI3uX)8nzSt9(nfCS$-PL@lq0A&;tfYD-ZIe}NC#-XS1GY-CjBv*)W!33|Ex ze$1N*QyEKL7VJ+hT83`Y0@kxXDVG~^^~}7|#KsYuxg^mN6QnIKw!(Nod)61#2`x;J zco5aNdo%&xA9j|neyDPitui-G#=>@yk>5I%a0UA1T*utfGY!KKQ_=>c>!LCKVuviRw`aY;4}|2SZc@1efn1oIj1Pe=>iuSlg~#SDGof`0a7FX!j#p9)t` zqu`UC52R*KW)EYFHZLl@pKjZtjXP-Wn&f)e#H3RbNHd(J9vuPCiSKi@+U*EB%SdBm6@V10?kU+Aec&JRV6B*`|@bkxe0&B1TG}HwROA%J#3bq z%l4~Iu_XU*GTQqEY)AFMQeD{0o23UgKkwtUB|kg-@@I1KI#0tSRJp}s&dMR`tLKp? z2cqX5G28Unq_0_3Ul*MZ4Ziz&xigi1XO*zK6|D)5U1tXrTATl6=(8u#ML3x;?XU8u zR$5%YrXJgO+i@>zjp%O=F>W_A;S0{r;(oD0dHaiHb0=GA_Bo+2NIK1$zZ_SvIl?gM zX`CljWXra%-cLHX&J8u=wO;x5zu$vloo{mpN#2c(nC#Q*r~Pd^ZI!>+ma zCpqfY#?X7j(0A=+_=+uuwq>X899`8z#CEQYLfUhua%H*Qmxp^k8L}!eAcuz%hwXe> zyVdjq=@aVflv00o`M%6bAN@@IU;R+>SK|?_*{;*5+X9n?ddEYiO69BD2b&4^`8Rr; zi^pGpp+dQ$^3ta2DZke>f%{YvZpbLgI#wX1hNQnM`v0n3Y6&MmHdK2R_5BK~2gsB! zy|h+}J|B(hyA2p9S{vGSD<;FzcN^2ewII40?=znkwVn_CUkWPt(|Ib?Hz7>*`K}|$3sfIjfl%iwlqvUy9rxI);DM4fV3`e) z5=K+Mb)o%1&wZ%MuCx*(q2=9oPqbWNM=hc^-Fi_!R8m{jsgfpObh36GRRc)-1N-ER zN1pwsV?`&BNap(K052{Xx#gK%`WsAJDP+z9U+ zXgA`Tz1_4!d5k~V;AAbWCULkGEe0Du#k|S)Zv*~beVDH*^3EyieO>IE{Q+I+ zkj4W$vVC6nox5F|)mWsuf(2{ajO7is{I-|^m02wBr!UD2s@DHW^EccAuppd3^eJcR z9`C5unFcBT-H$bE4)Ci|iJ7WBqjIj|QPO;eTW8mt*B7h4*VXS%LH)9lRBh^}dRvhq zugBCOnMJY0tChf7p>+2BW% zJ8>=7x?ab@)Y_aUgM)pD)o!yJ_5Oh$*tgu`1%%uD^@HS*ETk4)M`nVOCptxCR5E<> z9KLn7Mbqa38?v+cK1VS(OiD|qMWqA70e*%pPohQ8p2_(T?^V2oGD+ zYofYU=3m60mVVm^bZ;UXHVjW z%AI-qo>=l#*m2HET6dzbmJhx#Le!lEg9~@Ya1tMUX`fFnf52!BP{(fzwpV*se`^Bw zt}3II+0jKI$$yk>jtKV2tyZX^CdlB{O6Bc-FZ<5DXHZ=6VTr}pZ4k45D^5E6Uw?_< zL1xC-Cc@BUNtrfWyqXtOw*^ceTCF@IVjN?-x%l^GW^X=>bnAU*+ii2dMZz8*>iMtR z#8$?be_{>i?e?q-BARHSR7#SY1(4vh*?FwcJY*w!-GUQ>t~PuyV@1O; zVkC#{T8NoA-$JSgAoOhb7e#h|J}H?69$YFU8ypVHiUm;V(=sHO#>Gji{G=r zjn`71k-Y|4Kaik-tBa_;eZ%%WVPuu_0qvv8DBXXz4-+AY3*OY0o5YRdaJFXnM0B;# z{7HcE2Xqh$H7SAhYJZWRDXb?BrPF|9PLy1&y>O$Unb~uT&XDD5~ z%!_C`C&g4Vze#|7m9zV#3=n_61_7md0`$DXN=p8qgSep}`DESBDpj{Bl0Td2;v z^Ds?&3hs|NBrogBLwI#8!(hPbt2-V?qM!&!dz|3s4$nPpp|;Y)BO2dU9)`my z0wi^1Z94Qal-HyQ&XXQ#*IVybz)$TlA<#04H+>)%YE(8j1>Y>Yc~sZztL_*H|A!ad z0DU{-I-4H zzjea7j5StUxtOr%<>0N;%kLXhlyfY^rReMD;aieqVgjv=da^rxyq+3;&F&VgQlHG# zPyRgLEM6kxd)aU%PPNU5oK8RUYS2Shnmj=SQE!Qi)<_W4VNY2WNV`di)r7bm0Yz=Zqwyp))!5Bh}<9nY?+ zrx6*C=%MOd3V$sKQMr5$AcYnbQxg*YM4#$y%<(-*y*su$i{)TG1Tbj>9zS|qdo$Bu z%W!ODyx(|}dX@hx>UOLincoN9FC7FLvFM|-QLCPl`3D{bN^8Kn38bL#Km8{EQvdG>i`umkx)N}nv(pHoG3LljCeYM#DoK@Bhn~d*dxMS+)zu!iLA5VRLK^l1fU;9$F zN$yOTQ}4VNRjjag21b7)iqrz0@+D)BlN#%}k%bpk(PUa@$#3N{!~g=d<-mFiPt>EzLM;Ffm>H7z_3z3f(Gpg~#i2E@B1%p@cJmrul%tZON+ z{b*_WhI$y%1}OoEIH{>ZA{uhk2h{tFknlzoT>p&mzpr-UCK+GjPk4KQ#W5jm)@0{X z5gdmqA6rEh6(e`wWvfRr+$_O2$9wELUDM*2QiP_4Ruh{xgc->MWN7RSNS32Wh`UdnGR-gzH*mVUxHy&(Q` zdhyv1Ts3djhk~&%w8M@7GUi!WO*uQ%<|ncwU@D&;#ND2 zS7-=_D9Yt22&5BvB|7B8*0eDAT>}@J5M-^1=@4ZP0*2!PVwxXN_Ef=##0L95F97dK z90(szGQY5(9n28JmedBXm$eA(QSZgBAJ>{$yRMD(mfam(pPsFX(3^M{$cMJ@W`z2H zzbV{}=V#uQ8rOW$$gnkPKzS6_390mZAmp+lu!%Y$!Fxa0fG>XTx;B1co%>?&Gn?uFMSkwdd`-)Oy*%EBUNxpvaxDk?Q>})5i!_^5Jxw z+nLmb@3*t*kFmQ$kuNXZCGSPG$gz7eL$8x=4q8yM?@xo8NnoJ0KoDJpJy=EKx<>PM z+dT!+E-c-;t4ni1t3!AZWIp+`g6YB}wHa99LMEvIP6)cq&PDXMzbHCYI-kjx!q>lnmmMt zcK|PdwC96-*&5>TvTX=W>$(rsSq{T5LOY>_y*Qv=V+o8-qf2AoH(KZJP=htkW@Aue z`8(Qu3PB@@I}GV1jt@p?>mrKma-YvJw40GG+NV?(O)&@=tkFK#?H!YT7I?EHCaCdE6o=cNSXi(iC*1dt*&A8)+3|(xJI9Zj?N4$sYOFgQq184oKivj|(0LqrObB1U z)`+&%p0tMY?pH+FFm)uZolzz@eVs_TY1=GjQ6IndM~M?&&Asqy$~)Q$-l9{_2CC2q&UF_cIE!+`- zJd*MF<*EeTyxQhvoqd?@dGmGkT60D+Op_rTK@Y~PRrF4^44mwEo*Q$ET*zVcZ|wBx z?r>Y~K5bRLSH3U;0LL;a3(D~%r!)WV5o6P+`xWHkP4qv}RN~dg6Uq~RB;vlr{WB0se;iNda*Twl_?E87jWS)-|G{+Ku@lCo1NBcZuaU{!h z9AN&K1;n11Y2|!KtMYF4OR8TE#>?xJ@WzZL9a2lBvM1Ij%&XEPr4TFqgvDfPMXcR} z=7*HXspiEq2V0Cfq{uc;DTV{Pf z7G#?pRPQedZtpmwV{s=b`Cs;!$RjXLD=yX8=wgPNI=*LH3VOn%=g~VPCO{eQEK3xB^W*39_Hvb75352 ztemn=*m_T&{dBtLR2Mdlr#=1`u|=M`s{vWFnv}D7Y)-6}9_UB3%}!@XCU-GM1U{ur zwoLp|{F4c56vCK}8f>%X_b;@;xxF#|`gv-D_)SW6+#vLRuw`v-7B64FWiFyF8S}@H z+2n5jh3${X*%z+;?=C5t$4xHN4JDz?|A|9Z@g-a}7iG@rGCKF5OhAZ{_n=MA0(W8h z+9=fm4N?o{{(wmws_rPRZeL(hzVPm}lBOhQLc?EUsoO+HZ5qNQ;r3tUQN&M=MDP|D z4J2>_pm^9HS1NDx|43Qa+%R5#d82u8@QmJ5{m*scQO}@o6rOUuMDgY8@&EKiAB21y zU5=@eo=tnpm!zK+6G0@2pGOt{)pd5E6VJ_NQqrXwsfe^LWoWkMZ7;FLk&DzAvuJJ# zna@8qE!TYME2I0UPd}k2`lfI2Xz%IjV2R6V8t!MAGta9GZSBZTY*{{l0a1uX;v_RvKYb@o0l#~88VH;+ zLFP@Ip02g?;}~H7C~>>L&%im3CzCZsIcQk$t0{Q-)Jk89&(;pqET<*;;3{BvHZ-lzZVg0e$ALbedMGm^~~b zDh{SqF?%sJj-TU=GZ}QM-Q6LNXHO#1(V(qCy*0UszGew{2x&ZpWr6GOjzuA! z%80BuK*6gPNqORJa`{V_S}|SE-;hD`F>s2tY0G;TUFP&>&3(!lei-VU$=j}~{rufkS^IwVnk-V;Ctrv1i12G6F%inWveI)DlENHCRG^n2N9w9|9zNzLS@p9shYB9!~Xo#q&YL((@{r zPCCbl0L~|>Io!8e8DUZpK^iTdJ7X-~q~w;b{3LZ4QvXDOXBaEPQ@dES<7v=OTpxxV zxZr`cKh$N2n1Wh6dubX*Ot2xhGAR~1g|b7On{|SZibzvvi{D&%i2SQa1l!Oto%u11y?~kvrHzyb z9avRCs7pEWMb|jqx|hlN9v!a!1%Xj)D~ud0@q?TLK&vMH zczp8(*Wm8vk5W&f%AIy(92GVA_5)z;4V-S3P)ZjbU(@1Fh^UlGG>G;1```b6wg1&fiF+KOB7! zZ(8f<2U)UT^1RqMSh{$kFT6B%x9{2~>bmn%@-A}YMSKz&te|Dh2xxmVWP?#6(8>$C z+ZR2fTHb4gFjFw(e%y0vUbw>uJkh^en)EfMWV9YGF3bmiv#UYdh0_FmeC)Ox4j1_T zuyxN7nbh|QCAi)0=3a+=;cwuQ#)dwVsUO6faO}wD!sfrHQjR(tYaGhhP<(j8P$2Q> zWz6%$j?UNdnP_=!e3gq21MBFm_@#O-UWz@1FrTEmY37co} zl`lRA`(J+d}5 zSt*v)Hb-hk)A~4R)9^%#*u!~fr>Cs(J|;K{5cEYbyC8aB@b?t~-`6+PNf820(>enV zv?Wt{db9GYuy(r0xRBTD3I+-FCu{_WPoP z-&%y;79gw!T{tbq_2&l3e9);M@F+E`}^YA+pS{lL?wr0M8?5bLZE& z3+4A30@D3JTG=e~8uQ9|L~;f?52{&uXlvLnA#y5AW_|~17mQe9!fXXC5(#`p?k6*Q zA?tPyh=N2a;DZGN>iePSObj~9^p+I&@$?=PRzf_@9Nqh4JGw+5+BUMz6hGa zevi;EyuATH&BZf~oUb{jjZB1U8=S_Mr$fzDZhP8UatEI*(gklFi!>%^CgNy!zTx?y@TV_`^>#V1h zvZ}G0QPC*^W3eL#6Gcd-Q9_Z)MTNyxa@mu)E;6=5tB{_tMRMz3mCQ|;kgP*nG--Ys z=BU!-+f_5*ea7{r;PkP_x2>?Ci5pRYLe)p!1EM>M1IL!V;O zl1tuMXHge8@ySof+}nS)EqFdF-tmzsh1arg1eWmniSMtZ!TctZ+e+vf?bj)~1ga)B zdxAthj;7C!d5%brXJZPj4cNReGk?=xyQj~%WTN$n% zI+N=vM)i5EhgH7MGY^%RID7-^1qye+G}?W;uDN;-p7m}!lOANI2IsD8JLK(@FlN*! z8rX|&!)O1FagK-Oo2)saA8IGjBPg`xY}oWOH?k5g2a~C_`7Q48QMr&Ngvk*Ggq?4Y zKHB#3Ln=`1W`~ehJoHU}mdisWmPW;)6%NAqo0uvzothnO-;3k{*xySgX-NbMGRgxE zvaa{3NxaweJ@aT^TJYU#?G6XDDK>sw$)Qwi{9Gpg;x=TtFLtrQfE*M_(Vc#y0e@=; zJ~O`gIps|iaq4_oBul6@o#%ZloUS^YarV%qpM?hzCML0dyvKr?*-!1*Pbq)8daPt! zAmoYb^`P3sp0&7rw7KheOJFMVG@b4D%8-&3GwtVqGU&~(*5xMxMK!aDdRU8b$!Udz zRk`TY#h;MNG9lOc1BKC#%?AQVPP+P@=jjbf*cWNX{r1ARX1lLt6rFz!g_nP zGIj9P2O%DG`#{@d=Q{|QVRQh-Ce@(#{1isJB{WGcY2y{zwva^ z?&|tWRf-mrVUfOlsaOfRQ?!=${B^?tuy#Fk8okhK?7iLG8DDdKpIh&+SX6T2qw_M< zIIg6iieNI^oS&zE=d4nOZ>FsYN(+bKWFe-0!&|7f<*Bjg0>)>BvxKRT>8;156X+=ZFj zLXu%{kZN?j7uTqY>ffZCV}r#mVjbtts;cqD1hJKRm|k+U0>R~D_bK=U1161!E%L(- z3t8M`-47m5It|Ah5;44pS3os7j1s<#AWxOu5YL4qGgH@!AqC44)$K1BJc>v*xu~?T z&~?POuHpD^H4`Ilid|hboBHuAKE)}24ZbayW& z^GxaG+t(%(!iuVpgc6u-7}ZKi^Gxo+Q;jt3lJX|h^VY#{D-(d_Iu5`M*;A`8>hZnk z*?pH@`gn^^Z@M0L zxn87I=2GkEXJ*`{fGZD{%B1I+_K)@|E%9?%eer8irR;wnl)K$VsmbFFDA$Q0r3F}!K*oD5(e=EJ2HO=g3hW78)VjV3hrTSt{z}TOE zV5__bw|ui5R*agG3$cSVhu%BSfyAB>d>*@pwYj>410 z4dltj%Pb$)tvSk02yKg;7xDHv7?9|*p_xl4{?;*Ih`)#9F^qesXEQNuemw#b5`crW z04f>K$I|pqr0rKIp3drIXh5wWS=hXhco9!()^PSfu~@|(|66|5bN)97gZp1U+l%ZD zt_V>dhn^X}nVL)3VyWT0EY4=cI!G{Fus~F(x7K>;Fwy%755i#sbbLvlcrw20x#e}5 zBlV4Z@^I3=yo&_>1O=(Vh``h#*aTs#OC#OxAHKByTo^fHmYJf3TJ&{|mLnRs} z1%B~MFU+6lMRaEjsBP<{W0&RN_I6RbVXMl|bS=uKGk-nl-iWy`^W@W~f25?SANM!U zs@6Vh9a8FN2$qPQQXckxx{d{}Xk*t9DM4B%i1@O!j7B|Vc!{;b02U1W{Ot;wY-V(x zbc5ELU*MA#e3A4dbXB_J- zjit1-669s|wdlQBw}Gh%s{GwBH$L?G;a2~Czg$^CQd=FzbBwIUv&7ZjYQK9hoGrYM;!-|jX>S6@mE==a~_V5TyDa^ z%O9Xu!om@Wj(LY~ujN_{-uxish*a~xTf` zavrSrRy^9`kyDeC&5eKLe*b~Y9?3T+#)hY(ggQs4ZsEZcgI3ygljun`%Y+E)n;c&y zVh;@a6JWwhR=%9#ht`XyLKoso{7A4PQ%zpvEiJKFHqkl0BopOG&L8I*Uy;2C`9A;q zjI}9&eu<6m4UAy3<53OjwQpDsX{dnnBCq~V@Kw}EX&P$RB}JBw-d0GXcEjWcLc*S$ z@d*W-3ttQ900X}iMyd7;Vvj2uYougZ9W4JLK}kAaoBLI!BWk5I8NZ!xzfxcPV9jt_ zSm$=V_?aBoeS{qNmi-O`L2Q(g?YHhYUzu5`2pK2Do~}5Lv2ICMZwNaZkg}vpQJaZM z#Eo4KE?nYKVbAGEmrvq0@S!9O(ZUSdPCpgI2Esb^gib=)dA}|AlW(d8AS8R$BnSbU zH1L9sVOIwD{7}l;lh!QC2*djfQ`}k=zSMo0_rV6X3X9iC*AK3z-wF!$goupkW7c=U z%WIEF#GdryD%`#Xz8+F^tOSR9M~fKFqU|! zXCCR8+MG-;9-o5j^+s2$SCK@j?= zrV4i(iTrQH2H4Zmuw&M&<2y{ljBp70wNezl#MW1OUGAYo?PaGyf@yfoDnl1zT>`3R zS@K$ZmM~-S`~)kO1{g{=Nn;I~b-Y2K#TdUyVU&yXKwg*6 z(3+>~2VQJ|$vcz6+pFTGyA|-KI|0dv z*8dt5#MoXRVLp+GM~V^eYle3O0!?pj*ObF#ofBM>L)9M zIYNh<>~6&d^~1bR&Hwh4+(EGDtRELL$Y$}A8GL(AQOn~o9(yjV^i>~* ziaks+K7NR!a0q9{D4+1{cd?{C)`>Fh`W0V5Cup?c{{XH)QNN}7$?rI`%&uAAW6aOo z6nizEN*CSmGe^_Rq}0R3aSDj=A|5HP(>r_^=z-4V*uOL&$|vmM_*d3Xn`v*XJEMVW z_<6MK#8H5zRmA;I=}rB1x5L4IVqs4+a)EUOlNS8vyj#W zj|Hq3Uj~auY3PzmtLlOaAF1xWxBvc%i~9A}om_4EL@Zw>xo17gD<2QWhlmLu_Oh&f zJN!!i4!uY3PkiX)w;zVH7U%3Wl!1kc>xZQ9pM5>}Mnr+%Lk~}?&b#1|>TiG7nVZ_u z&#_nCaDz$JleQM$q<9*8`=-FS{3y));H&^eRh_r1jKEI-l<05BYS4{{9{KBz*jk_R zSx|?G*9e#SlhTJ@`S^er{5aF7>8c+n>T$l4UilK8bN=A7;+-Gp`jsof?H>!|eyCQ^ zgKoJV8&OCKghH~Ye=PM4S`Pd6P%;z*Kj(v9wK8ZN;&$jV2wtYA%d>wZkTqI5TV}1M z53@5rxCaF#l+2Mkw<5zM|eVF{K^nn7%Lv;ED)mQ@X+7BM!L%pLZpM2blx&M~!ph)@&^APtP(98752ZFn~e-V?0wmUGiqR>jitrqve4yhkqI! zL}|4{^@Kb`efrZQf4}fle$tnqeCF3+PF-H2R~ipeySn2?Acrs^my4bTA{TpAs?2nu zB_5|A<|T(-^lFA1Ux(YDA>%@#p(qH-3TIvjCDuG{k4L-QzL7wW%dWqd-{C``F2P1ryEb`YCrJi1=Xr6PmS(ygcJ>KkitPf z_hB9WasYevjrUi_oN`6KuLu6fdVPz;QpWs zp0DbH2mW>VnKm{NmIuqU8P%7yt52`yuRXn5clL~Gfexovn>jV|u|U{g7k2k)f*X`y zE9p|}2wlcd&&9GV`3cd+&eN*>;{~xc`gmELxJSynDDe*GHq-(9-nyW`9reY_tLtv= zFC%T`Z7FLio2=Jgxdu8gxdl`~!00mcCH-U4qF=SSg|e9Tmu$_}^mjV@wJxqc^6rhJ zTohWr7YePN{;DHHiW_N!OMqR@3LYmhHuSU|HFON+8J zCb5z9*FN3PJujkir5BlcLiThvKRgK;L`Z#UaP=7+$wJh=IV%eL(AviF7~u{Y}*wSdCMi z9Bi{r;yi-G9?wgj=xHP4i;|?v96UG^F!{#p_XgUN~%@ zvHHCfGTYLb{_lI^`l0-Djn>@9efi4NFKYe{j`x17-?b0Lh4SBbQU2@Xf5FpMtDdLV z4#w(!qK_$merC7jX455L8X@X-H05dQO;@URdC}T|#>tvP{&pF2NC!`49I-zR@WkgQ zZ#k>l>G`vxY%FYF^tqXEzcittu3^J+Obp8s}9xtC8c`nl)6)T`c$Jg(SPlngs ze4ngq-dFb@_8>=y-(p#$_@?&SXI-GOEq9Ilb$LZRO0l5;sy*8er2yJWk6z_8!rvl= zJQP6xE(Oq&zAJ0ljd=U_-eujS0D1umpf_}-3k6VF+ztiM|G6yT)1w^9+w)aY@{?un z(KwVePy80Ly13eC-4&`;^%3G3_9rPhUr?-XtduS@M1^@R7gw z=wsj2b>_pG>eIEtYr1e@K2Q5R34Ks*wD>xoVY*m8_-zZ~%nXaOpZn(3jucGv2nA5d z#v)lI?N-K3@o)e4dDVJ4XX1sJ4}SjgB7ghOH@|9~QOg=is3%C)a2u|>d@XCNp>d%A z`i>3aH?lUU#o5T9Kgiz7D@;{io*ey|KD|=*ucEU^to+Ur(s`Xv3X z-6i?&#MwU{(53d1W~Uo($T-T{p1o>GBj!u?Ikvhq-t~@WdFF%5w7(Z*ZHnxmILAcd zbgX5pJZXM3q3dwC{Yw+VyR-+VCCM=kS;@{}OADI5u0OEUA8?L+CF?Im68@mpmpo0( zS&8$F1iB8FSNiYQ_xXSO`{L>!7dS@SCRbZ+Ii*@fHWiZMNJ>xtK*16k zv$R;+4teIBjlEatLJm-B60YFMzXx>e{>QT)sjj$EYClX237Y@t zKc?@XkiA5_)*<{@pWAhwU{CyZ_>zR6WBP$->1<7sIcsU~8Gb^4`nc%^hH-wH*BYV3 zr7*$=<;S4uObe&CKlX^iiL;GT=D@}0oXFhLaLi+-S#wUKKg6826mUb%I3wxYqZG0x zQn4my4nh%)HDuabi-HZtMj4U`#?F|%6pw7WG>=Wto--(DfijchDc3ymhfC&f3Bi-P zyf!G&Nb6jcBRnmC^?8@-gYKNkmF1QB>+qse#lGFmRX8|?@(p7bjmggC^zu90F#3?% zQum=;fY&&Q-enEWIXFy8nQ0uM-5m#wyeH^xM<-49FLFZ*kF_B;K~KU-Tb5tuO=FbE z7P13r`OW^Dwhq!la7SK}+!XZ`{DAlU8Jp3hQi>@mS5rbh;;DK(b$b%6kSSyo{Kw+l z7RL4_Pnf$yp_sPF8BN#M%kOYQ(g&^LLx-|0&_1mv>0`(kyrWH{f#4tXQhzMllE#bF zPl7MP2Q0wPuIYDp8;r42eT6=Q(x-V7V}|88)2uCjSJ(g+K&Q>xu9`9HiFLM~^^^oB zwfx*E#t5heLeq3^sSw5=sNjaT!gM##QDiMCR--ebAK-v2m`@&Y)0~rJfcA~mxgO7P zUKh~AnRBgZJZ%4I(9?1$)~9oPwS|5oF$m&1-W|nq7iS%66YI#D%=!`OmDSY@0-+r| zOv=XH^9OT5T8pV)sf}&rnXbm8pC39hCs1En!=#+1AG92pU2O;%kkGBkp>DJz%EaYcbCs#pfp1(86ERPzA9TWH(GKWhIZUlh{wL~UYWEk< zQJShc@%z_Sf7Jz%)AfVfKV|jmC9=FoCwljB7paPFKF?coMzygHoSW`?St(g`?Y-3j z!qX0=N%+7a@clZ>u|p~EQ{Uo%efX}*V(e|NoLg-wg+wO3Bfq$)+Gf+0b-2j$q)aaS zo2*0VbXdK@41Q0kc!nzuAYEYta`AHV|GT!ju+Ni*ootJx6uY28ITm+^EIUxfNZoO| z(6~pINIFxjxn@3g`w!P;8rFBtmxZ#=#U*HWe203At6g8XcJ<`P&5T3VeLjA1@Z0!x z`co$)l{D16rbPt;&i!s$O#K8D52fzrOx+E@VgN=Ib);^^yTd z^f_Iy)9)AvxZ~PO%F$dzp|EsXiGpjW;22d~7_-?!F;jqqhmBzC( zb@}W~V((JM7QSUwfL(8$%F#fsSZ(OqdC4Ap*>&1oTPtLd{toO}zd~ zW6E@C7oV2Ll!-zU3YDU3|7f8PYG^wLHnBbsA1DtOmq4nJ{sJFZH%!F1kZK#BzpQnz z5VoSM8QPsMg=-W7Cfb<~uE+lIf?m(TD`YdlvjIlq&~u=7ZDXUs)EO-~GCED=aHkY<(aosKl=U6(SIoy$Fs?Ec_m^%_oi3yT=k^tW+|+l zDuu~G-L*H}uXTKHdfJlaAmx4YXE#)TJn!~u-`%w*lJeZ34hx^3=-P)>)swV`e2reZ z$U}c9{i1wm*TyeI*Wt#yX#v#nBY{l|px}T)=hMXh(y?Y^P0TsNUE1rFj`M)!buK_Z zyH$#Lr9&yS+5WwEku_1R^+)62>2Y7WBC;MTMNiHlzN~YGb1y;>H!0-}u>fjZO~o_bYReym@>-1=umFlxy+(WOf7UjuR?nAGeOh~HtpUwO;gHWe?tZwsNj$jny8FXY>gCtn8y3P! zI=bG$ppfYjU?JAkj`5D~E{{2#^|$f2zwSplzMtRwI_3%->1hY^ekew2ag8!TL=^Qc zyMEKjFtw+HFG_RTx9hBywY%vD>rm`t&mL!7HQ|QluNfWma6JVS0pmQoi0|;HIJZ`O zgcs=t@wcvL<#)Y;^@|iNOmjGjf$8;!5I6-R z-=b@guV$DTHw=Uxcitt-m*+oHExLTLbBg74G`sm`ldDZO6kVq!1^lU6x=fR>_`Dj( z82*6PeS8RChPT~g7=Nd;f4m?h^!Y{8BA^vkZ`DI*fB54g)r~jxKhuEZ({%*#l&`=wp58HfKG4pPQ}sJ6Jh|OiT6z#UjdPan@=ZtAYyU(*PzsCE!mnxRDxF~_OMx-o zj*$*-&!7;CVkj%1bQx9W`iHj+DiVk5#kaA?L$gU*e_0tcaZmNB>xQDCApJSr)48>I zTvYW=pZGa4e+T>a@+dqMS?CwhZ*%#QH_jyZh&awDG|8p$*74b&haHcn9)D$W>&!~s>GXIiG_+Sw= z^)u#H$C08P-<)|!Je-P`DjDxpM~H+dPC4~mn&?JTk{en1B|b53)8AE(&jX2vC!H~) zQGUZal%8PK{|Wf%vz}Z{S?LLy_mdoS+QWDVJ}O54fY88U^qp>(5JIkDEqO?SjN+mf zDm?Z51S2B<87jX~gz_0S=AKB;Vm^av+lZ0SHL6a42P(o-W_?avDRmCgd*0@)&QL6$~xkc@rEO4^Knp zGX2teE2Z|l$FRm2%J|>JzpH!`%z;i`L;Vmz>+wOA!#nfFion1i6Zz~~>FLPF1~i%6 znjz#&N2prH+9`a*n|9C)`N%@pF7Wbm3tzNz8smbaI77@QAi-^74 zA#a)=Phj7#L*MtxI^sy&d;WdhYJsdAfHM~wrMvsyN2;4{f1rArE(4klWf>G4kJ1xx z{alF`6BYaf#)PQ}3tI7e`m{;aLAx&q{{=h)_rvR|59+WRSs2tI6L;&P?aCYOtIoaT z?&_}>-C5m}EpNDte*Ag!j&o#*b0sGqHEdI4>{S>C#UFmxMiG6IE|LD4FOhnsKWwiB zabY@Cxw2P|q2cgh$7ilCMYolQ$SapVES90w9a28*=eU%?aUl?Wwa9R~E-O*?GTqzY z+ogz#QWh6YSZgg=PWof_)^qp5=QpxS^sVB8vZ$tdtuAw(vV}e`mqQ8k@Xs$A_7c0y zJ1)P4bS#RHZ*4YM6R{9QCK<0-e6dl+kNdFN)YAEZ!_*x4&-S2%KACb!=(Z6MR34r3yPa}SK{P$!wm z@ASh#SM2omFKu}2eFe}t>e2?Z2OorYIuPm|&mk`dskDUTcn%NRejC;N6Gof4JU-2(% zgaRmhIry^+yXcWN`jU;D-+mX<@oRp4cd~Yd0_gd&-UeCA_@KKo{@b>zR4;kvPzBJM zX5;vS4@-{L#|k(f5+Pw+?94#7htq_Fs18ANASRqS0OknAa>OvPi^fepfMCr0xRe>9 zLn$BpK-TIHWIBY23!<2p^e5KT%ug!6`=U0>Uy;xF3<6Ex8Xw9L_8iFZlLJP2V~llz zr01eF;gy=s*oTtV4L9E(mkj1p2|t|2lrzq|qdN6xSdAYW-o|&lV61h85(g#l%YK(H zvIpIve^T^Jbb!x;(AnjT6t?jPy1E?44+2-z`0^G#1r63RZK{ z0o{;xNiK*V5^j8&@#EmF+hFzr(g$DdRsBsr^WdJc zkhh^MK;mxG2Vfu4Gw4ZacxZa^vu8RYTTH}aB-TTdYfqme1v>HDXz#Q0_DKn>6F>gH zzWobXbd<8aq`RPhqQcAnZO!UwTctfV&qy=&p*+pFjk~?E|N6GpCiC>l#q;v{0Q|z@ zpOy8<1O1u`glFlarQiHX8Ve1_GtO^&^*ZrU4pC8DFpd_c--GWZ;PCe=4Mhd;G>L zRjf^32T|1N>ljOCRNPDqR`}LpPFs5hEU#94J)3#EP%4dKR|Mi?EFn1i+xe+ z$w3^-=C*X)l(jPdI|^CD$}El#iRsh04-~RiDjOdiz@WQLgldHLi1{kTvd2H!rTvIq#9`y6e@?2cW?!vnExK-$IIy z>!z~-*U2^wOW7ECC|%&H@dTxuLCP=lj^}Ulf&Lq3HrlURrlG@CS3gqy_Kb(BJMQR@ zCvBZMb5ixRCr_?suOUzRzvhqeHoxp21R|$c%L+NAqU_j9CdH%v_&Lu+z?dsq@S`pi zqT&S-4mZZ=Xn9$R{k@>b7JG7^SH(V8Wsp9d*GmR9pOs_QX!tX5vy7-Rgi;A|CnPyH zAc{Y+zhv%^{Gk|A;ueY82w((?@*}9}ce*|h5etPK?m2`Xbh8U3G~w5zo8y-h1iv^V z%k-=3Z89+Y>L09I)C^j}xtTjA?Lql6ENH4-4)204T-jK+mh$8%=8d#QN=1NM&<^@J zkzlY7`YAm$Ee>x&yO;kwj3qm+;Zii{*bdDYgjCRluLf#5|Mq5V?o@sJ%HXk+`4GBw za^!YMrjTD8%>j*JA?ft5PM7`Ai@Mw&U61>E^b^T2_(%Q>1;RPJm*3%2CrN2gPryHX z-$E56CbYOID{WUzl>#U@f)jm%zS66YfTK{0`GdC8&p?zssZUagJc?U9DUU_;Ny~u3 zhcrydyBgZdPgd&5{9$dCMj6JtBnQlG{2r^T`;O{jTuw-XCT*dvG+qu`6|^yp!9Qpn zgfOOQ+;Mvd^>_x2sWVzNO8SMIs!U`KJ%d>L!8DvejG6FBbwzz@SdNV(qpUW@-xz~b zr^g4%r5^38^J4IZSY@zz{rS`2_k$|A~jx&XHv8a`!?b zx7T!n9?;3tQR#R1hu^tTSWZ%=A&!aU1RZX_Oi!xWaaoGH@_H$Ief9Ec^_k$8>e*Ws z6L`8Fh1Ju~y(6Arf4eUAuq1Qv2@7LkL1*-0gN-X|4mK;uz%DPCT|HIpA`mqM^+!B29?l}myyWD>t8gd+E$l> zIIK|q6$=Z2QUCIuqRR{vCvjYe9(K~gn1qMRZ$50d`AoHS?V!zjK6a7lk?M1N39)|h zA@L3O16i~=?aZ5NK9}jt7a(8MOx7Z<{?bqjM7}~a{YBoiFoAqZzxzw(R$FhfQia7e ztZ5EM&lytOJ?0$=pM%7=+r_ux(znrr_P|e`ia+^>T&Q&DJ!_>Y)uDTCps=d?%(t(u zE?mS#ZzsMi@8!>4v-($Ajlpqode}*e;xeOG`tI<^raus&t$c^3__XjhU7@`CnuI$R zVB#M#n-)awhn@VSEfqk?)8^P9F-A5W%4sM4z!y)(*Qu7Qf2aazd;PK4XTh)b@EaHO zVxg}rC;-1%m!P<#W4zP*O4)TQfL^W87NR(D&A&RJ@uP`fir)G8YgJF(GAR%f0#E42 zcir<)Y!bMHoVlVb4)cz6cG1s2zcBi(!$tyQ@eWNiY(Nq=Yq6kK$7E66OD;xI$Fh_b zu2}&TYp&n<)s3-<;gFNro(&5J4bXrtL3(p*q|ohVbGgqh>xH6^!?@VQs_vaqSVtCv zx3YF*xg_16WRd8UA6@4xV}fj$;sPOW%+n!SI-F-doJjW{vQ)IbEEeIIbNBh!B|WP% zy`8}R;UG-npe400DMYdPOqM*DecJixIvj6*6WRi3D1gSZuFVvK`9G4C1p8S4jSE}J z3^Iv>W?WG0taTQ1B37r4I{EUhN}0QS=vzi?B<|Ez zX%i|aoWpzh9o_~R-vW;eg?@~2so>Pd8T;w?u^tpoWq&{s3hSOT^?}LBvTlD~Jaas> zrj7#W?NR_8y%p-AC66oww$Nq{t7CmYdt~ti?>{(L!VD{Pr&? zxUZCHcq-No*@l<2_vn)@PZqr$xfCJ&h<@=xeGu@RC#_Q5CB>ExX}tlP;GO9QjLSBl zJdA1lKvwCSbRW1{rXS9)q~V<2{*gcwi1y!Oex2p?b5PbBA9?3FZ(bny(}j0d|NG^OZsjpCAinWG_4o+*PO<9R>qso z!@ zxgs2EgS{MI~s+G$?&_5F^!*ueph%pV}0q;m$I zsBb!301X9D?O}27VTc9LX2!yQp!y$5ynj~z`&ys=_r{|CVJ&n}XSzGR{m3DT(3X4R zq5pmQm=@(y&K!6W9HmD);=iwtF@LX*GE4ptUizKB2@lf;ugL6qQkcbZYSX<+`?2jB z`!SRtQHG?CVKEqbL1(+$v|l^s^9zHA4jT^gVaeXRt`|u@{*^1Lt97nr7Yd;IsD|g) z%O~KUxy>roOaEof*q?nsAFFmLTAQFQqzQ98vbJZIwf#$3Q~VL43;Pgc?H`E(#fwt&9*ww%`-xIoz;Wzrzjt#XH?NL)H$g1xzRV2Z5lnocP2( z0a{TG`O-c=y_`g|9B#Ta{SIH&q1%gP&{Cl$E(^8p#WJYrI9||vaC!C*4&jT|5t+}1 zv6h#TqCcb~9Qq^Q^q*KGgj_gdiZ>n|*o>c8KOYj-3LP20#ah5>daNGQ8Az;{Lcok~ ze|*@FUUTi@>fG}dSGV3qp~E|9HG9oT)mD$6RIRlpAO0zi!k{1LUC=w|tG+Rf4WgXs z&TkYLLs43I`;0Z>NvHo3zXYQ-_DAtu@eVP6DLW8pcCcam;LBMK^A^eee(@vKS$}@G zy7%6+*GXlz|D}y<&7NF6{HQI(vHpj2@rVAM z&T2v-FE)Z5x-JPkk-In}7EfX8B!o$Pf&M7as*A)tg3?Ug4|4pt`z3$TZ(Y9pSX70d z@HMC=eCcPnP#golEO!x(yt|x8m+0y7z;quAOk+0dlMcNGEsygU#&&Q|`@e)=ul%*# zh&j=fv)qV8>3m0!61e}4AC3pA{i-U~w4q!je#W>=<{};RovL+skeJ3nH&q7zA??E& z)Z6kQ5oI~{Gh$*X6}b=jQjxKbWqgj)koJ7#hp(W(Kk(-d5P55>j~H9}WPM9}%5+$k zOlK>EgNy#DeO>e{=n*wV-Kl>XkDxPSAmwxTmgxlEblt>L(9Lq(231e=8&w|jh5Z>$ zQMrs`%mv-;Nb^;U6VaGlP9uN6aTB^ADp9`bNfu-iU2TDrb#-*9Vd!1b7kV}Q=DX`r ztx7|>EdLr$=(izPnU1FCpm37%)%`=l3xA9UB#Qek>cJDSL-8CW96lhw@oYH4liLg5 zv4}k$^a2m$DwN-)C|g>#j(!;JNb>0VYdV?!1JE((rFz2hZV>E|>fT#^T|IcuLKUk@ zTHJI!0Y7~vPrxVo2@Cb7B){%gRPFO-(wYDCN7fC@$DS|X2XdVDaHK{GMkmkCHVaP|xKLiC z>V}MqjF0p~#L4oNNT2HAcT$K}J&dEd{{)>?SsDi#@*w=$>I3iL!oyew@(nKHS90(- zS;~dSLBD?e$n-}!p^9llJ#h8))8=SadWcVm#pe_8;|LrgCKZDWC^ z0SU+;$)G{F1s|UAFBXOYCB{Gn0GBn#AXlPg|9C*RmGUXiuIYC;%9Mw^X+hBQ3|a5^ zik`_T9dyP*CKohVUOeElmzB|df1}L#{@1S`>CV!n14=Qa<3RWa#nXOV4jrjW3hKo= z=Q+BJXTb%};r;t|SuZT-{owSQs^94XX_b|itM=PBYN zkoR3hUX&(}`O+1Uza@Dc^dw!npxlDPDqS2Z>38#4JN!p~>GDX&pJ#2oO10C!rhIpc zM{$r^$L1dpKrVyo*Se&^5@%WmI2(4dB=tkl@xcin#+#* zE#JN1oHeFb`%1|Jcl_6{sxHm+cKT=N3BXt9Cm>N?VnOP5k;m!yjoa--Yll@+et%v{ zBj@%|8X>KJnD(VSP?Jj9SkSN&a~N13wh?r zxGWPrd@+)!k^Z{>IL!WufUcw2pBz3`=(ZmtWp93;eW4UUe|@9mpuO#5tZMoYD(~bAj30 ztpIvyq($iu3WbRA2M+@cM3u+ZFoKQ>3fx5NIG|zj(cr1G-oP!&Q5kR6xJg~t-t<8A znQvZ|Yp2*$9?urWP)i-xIK{K-$USPKeInk10hCwx_3Jy#0hP^c@9ITL4YXba_-0bk>i^U--eVC@^R2 zq;HFl_UaGMwMARiOxhh6Gr2qfYb@jz+Q)}Z6pLp_{R)VDhRymNZrCs0>BbkDo|Y5) z=dCrP`j1`K6;f4ogI)(f2^Z^SjvoZN{fR$g!y8$IN1=!-7<*IUhF@O&m{jfc%DJ*u zIz1FqQ2=F40&Cz8tmu}{vEgHSjTO$&6W3T9j5eqlr^({oPi2MN<(ke-zr&mG-LG3O zl<6oBWhxvBO(->p1hts{RQ3Gf94UHwo(GURmxmPOSv)i7ck5i<@`>^KJ}2#EF2QwOh2ff{*1yO^7DHs7=BkD zR)(ihe_7tHnq#-p92>Z3uiGm<(g*#BUv1XZ>V0omKgLZgK_99Q1du_?|BIisdi5{* zn2lC{PzuyH>opGY@25TQsxzmCd>$>Ug?uO(#tb7=@n@W{T|cKRBq@Q;4<*p+G>?2#{NmZ_d82$HU1-;ibwNi_xE+t77C@WnQgM50oMAtN zMbmHm6y;~9kg@75X)YlVmY&%#`PCq4zV`$GX#AFRTj{qjdLiAsyBBMYUxze_1E z(cAqa^#{&jk_FH^BOYb1!wRd6@Yv-ge(2mlZSm_F&Hk5>4?zF>qb#!;|AXJw>3@T~ z&_UhDopME;KVhD{TkC_@f0yznxZx=8Yd^WZT6opHY0Z#=-hhk?*5gOj$ydP&x^u*0( zRxi}64Yur$k}nFSVc8>(gD3>M{NHB{E75-ajEDtYcXN!H<|*6=vBPPiW-( zOP^CNJ;;SxdSV<3@DG>v8YsJs_Z}*hKlHEZ?-={X8*;W8`$e_e{9&H6a$i!iF&4`% zWKDo_9g3i=h3rDUHOD23~>6k%6fzUT+aW_}C@U3x$MI33~{OMQlHQJ4C3x!$3^C`c3)x&G8Fe9oPFzeMq>!1 ze?ZIl;9Ko+I@-Y8>ANR~4+;}@;GX0>>M6u4`^s4cW3#uGvPN@sgu)2l+|7m7g( z&cL86S!?&4jKQU`LM>QTz{zneK2RGwflb*LiRkQC2pd~(PJ^rC;neX*iw z5BXZ5vMIWb&&32j$SifZJ&p_68Uek)F8Yy5HU7|v->fA$qm18Ct82+nov5Dz=+u?B zttPMVglHe_r=4vsXr?j6eLgiDy1;wMfYyVxk|;-4A7dExr4cNRdB^}` z3~($CnhohUxxl(jd7SM<6Zk-%hCeYT>UZ?N0x|kveLhD^l(tO6I73@JCP!T@^dlUc zP1jbxqC@WBlj`xfM!qC>X^+U*8uHyK&c%)xB6f@k$YHrpKo(-&&b(p_wsSKE^*i0L z(DLR)_KyX+tR}(^e=I}O&26-QEYM|506mSCtLWu-_(Z`j3!n^K3;>UH=m9M)aPk*I zYIh8d;s^sJj={-?c|P<=hd9ZCr&0`|mq$F)(f$U49qPF~9Q4^w4_u3{ZA=?b`DM3)7QnRzC?)> zvS7~iYOj~C6VL7u!jpO{%i2Xuw(@`fcQ;i()6=;f*U8W2&3ko;gEb1=H8*bYL-O>?Xx>{&jt0Rk;D2y6nszVV^yRqW3&pO$pWZWkRx#aE*W|H z<7Wl`P~>g8-3vM0uaMJby3+q9S(4;Q@*nHstaQ!!%Kj44Nn$}MnUBSw{EUk%w7lSA zL4@3w`79NNuD9uT_@D})P7hpHiWdJVd81zBV&6|*TF8Bwa>@O+0w}Wov9DcKFQCDI zIRQF>D;vK!eCdJO(o_IFOp5JTzXD&LpGS6vb6hqay4Ql*`V0!7D1tT}V@TR)XIav` zNgZr_d@;t@`Dk&LcjMd3@9GB?j z^5@~7Ul>Y|!{y;A?RQF{KiZ(m-uDU3Ejmo-=gjM{zQFoOj4cm4mIj|`1BwN&)7*`f z(;xiyCOvj8xU1W-j87^p$V{wiHde(pRZ@ZE3$9aZ>RsbC?%}C;`01CgB)8~{} zs7dSHw3&w2Uemf<(xOPal`O`w(ZBK5q3bcH1qQE`XL*ei&>fm!0Tfpr&M?oAHXR_Q zLo3pzLmDo^I=E3UX(L``8)wRVy_8dVKKWXW!Jj(ys!$^38BY?EUde0M^w$vs{-EAa zsLN2(WE@~cb|EM<(}xkNKF0ry_khKBC0j%5-~D%=A7M+w0w{cs_GZX>fG}VF>SxfG zMl(dfANoQZ(y0B89|T4tb9tnHG`VL=Y5wK;W2VDTkoA5kmrSICKI}pDe+{kVNnlOC zERV>1eQ}WGac}LrP$WZv@o-tLCk^>}K}Cggy!}fWK20A)J$su~Wv%YM>Z?D#KE|Wb z;=mK?r3JlS<@`#|EB`;u9XPCJ@?7;u95j31M=!4F>%6__{dBeQOey%q6QD}W+Hh@I z>nqbgT_3`+W@A4Jes)d%peQ(qlAQAc-;u3mvll%4vkS|p*54=yGVh@-EOs5 zb7GkhWw@qdTQhy>Utz}N>Sg~rThDtZxq9;}*Qv0oIabG<`hI9AW`9r|)S2 zG{+BY0kly+7D5N`vgL-jvoVv7w|s&*Si|J#rLr~J%OMuTU`u^Q{O1lCPY=3_R5 z66f^Jkl|(vR;=Fe^0}!Tr9Dn(9@k50xGuPnz8Q`M+qoKhQSv_KMDeMS{s8UAShuo% z_=NUj>@9l^%&LER^_%_QG{2_h*M4$cb_^|RVW1KgK>2zJ9@hEv zJN%Pm0W>`UpAu4#Pzp#>U>JLN%lWQ_9xF0d1wQabil4@rDb@(9`MAkc$95IHk4_}8f~@pBaM z&GN>GeUbel^cUvC;(hOZi>rTJw79zHVtpj}0BMJJ%jt?@ z11UakvBe}=3m09(Qj+?C{tJHgfLK)GBZ^Qa^-s*QCVHBIC7lERaEdhs37Js?>P3tS@RaQx`UFSp<6hPJPh zqOCvhF)`;ID2jB&>(HHfBdov**G{?3@+QWQ9M%@>7^Fcj{fV*J3TCWTqRZFvIC6X_ z8v40>`x9SG75AIuPf9DAZ=qer&*LQhgR>=+Qos+_;ZJyn{AtE_ut`ZB@9-f|L`dUv z!jH8jV?HpQcjb8SQd&NE_D8{Kn#=Jjc*wLTg2ebN`nz72Puct)NBNs)md2Q*eyqeaTU}u*UiJMQAJGK?N z0!L;)b?}h`cRut(JNj#!Z)-jK5X5o*;h-}&U>ZYIhxmc$x*yg2(E7#a?r^9x9vpA+Muo&sZJ&sq4~j&jWOd zxbIY3kOgqhXpah7QPE?h$w8@Z4}Fud7may z$Aw%=7MNq9qvzKYJMzEaSdTZX&k4v5-bA}pcZ@fV7z6B8A2f?KL$pinL;gCbsNvZ^ z7B~jHA9Yzxr;NDe%yjJKcX%sQSy8Oz+WsX3b5rVJsF&a2;|d$}G#$qTjUaMP`Erjb z3!u!$4192m-wf1vQ+SS3qvOy*1YnHzKf>yTSSC(TXc_#YCYgVMo&8G!njDab`UY`) zN&MlgpfX7M(WKd12mfvESXnt?0z6%cINy|&6EChpO!S8djkYksEicP6A9&OJkeSnT z>2jtN3J=JZncB*33;T;Mu}*3{^#z?!YTHML^Zdqo=HapkF$lk~!Y~pGpvI}>&ubgc zKL7eJw^iSgwF#`FzH_H}aluHwD|Fd%g)ZlwtqUi9<1UfKj8A;ys(OKt zLVN$U0w@=Br|J2;rkgLz6j-if!hf$6{n#ix8Os>i8s96#h{meLA z{$q;;*=BvE-wL2uJA)r~ZG6G5oE1QM0{+-9U(v#k{`7JA zhTy{iF)Zb|BmEz9V^pX>o)Xj$ALD)O74mo=dk8WK-&+1jKMH?O3!u4tkfYqv0_Zn> zCQJE6yxTJzq#r{{K6nDgp&1vI1>MOHN4z#jAAzt|Nc5`=RGAU6aM;7D1fFXwGYyVFDPfRZ~5y#?oul{_@*Xx z{3ySpKuE~G$6b#uU?g+_-_kGR! z;V#w;cYR4pi`B`yWPP&ax?9@@H<3kuls?bVv*CwJ88BJ0Xx1`%e>_=^B3uuLBHzVQ z5@kLgjXUTq3&Ij2^6|qgAA^>I5-S!v`?(Lux+_Yr$kIq1eBh%9EMwz_;|o?T_bRM1 zmi#(0TV*`?yVq71N=dR=4pwLeU1dV?18@(3u=i7#4J1XxHF4LLHXSK&2#9_(v9Xrp9q!;QVr?2XR*L3kY zsp3Nt6o;3T0PjE$zdQQGMZ;<)WOlJnHDpNm1 z;g54=KDJ`YwR61v|5qUNu~kskU&(3jtabIERzb}N)6D+yfG)GipQhjGhJ!SZJ#*8N zCTm5MUfElgGBI3POFItvX5Qx9qvPC;v|n(z`Ox$`d_1A+=*6Enr$S*PX;MUT=#RX` zlc_z{1b1o4cfPEDE?Sh*x}IKehLk=x+hkI;>BjolGTE!>m9%Ggj3HUMq|-Oj*=({R zODo6jOn;YTe;d4Ay7zzhWSnyO3Iw613o~q@FxQ?7rqS}!_R75-Uewq5gn(?iz4ZLk*O#k zl@t9y{2q^X)JnLFGp<9wlH#K3&{$KqL*XNJkU#pm=Bu>6qMqc;4=c#l;rh`@m1Kc( zYVzqv_zMWnk>%x#0WB z;_u@7FVSUz&fq|#%}rasnlx>l+#j=ii7%xhVUsVer>(f2VIY(dqaBoQ#ox~OnCEDZ zT|t0OzPjvA1M8r+A2B|vuIMwRJS%bP^O7}@h4I#oJn)Gz3GobnVw{r%WR!sJ^gYgx zakMLBLULF49fkL*D>4oG$MjSB7zczK3g+}z(>2Z0c}!EAqE*h<23@y`2syJ~(8(#D z`e<9Jq#ftxG5$k?)J7$(^Ev;Lght4Y z>E#a#pmmRQYWL7(zz?k_Yjm45IbF0ews{ezKAup|_{R9Fma<5SfldJtrVh^l&~g1Z zID9;VWgf1gNc){@EdGRJDxdP~Zy%~AI=<7Q_WB2l=Zok)cO1-`3Jai3bzy}2#})U) zg59kg4u0l4SBIQTmYi_dgPd%uXTPjSc*GYttbSON8e0hHOhf4;K*cfV%cYC~BQ;c49e5uGl+ z@?MpZ@SCiQ<~?Y)ENC1iOH8$)*fP*jAkCy)uPq)YPZu%WQ64+D#H6ILJf73r-7Hj`w z=kOLd`k*S*@6weqJszw1X4 zW5anXhCJT)z{Ay5*WX`VB@3C*P3z_g8CyjPpjgfP&?#3aB-QWIO8-i_?A~gl6?K`r zTy?D!MzK(I_k9VU-U^_Ls}H_&qfk^}d^oWlA6!FseSz;fE2!-=!gA2xbcqK4JFYuD z@_Tfa-_!NX;@5vJ1)>&uw&g$KZ5xE;;Jeg^8An-Ir}>qIwDxNfC=^sEPf^uo^H)@V zoEG7i>WSPdMa!YC8^31!G#!L*zF?(lwiKhUm%{WvL_?J0I&S#bMYN%wKD@r0|Y>@Z|Ye4x2`bgVSRL zm4C?E&Ef~+26Ika4k*zeeBq-1aSK+cR*{wRJC*lhm2r!#l$-ud=(-(lzb$|=Pad4D zXgY3C$Tz;g?A;TPsaQ#pYWA6R(vI`^t7>buYTTIp#X{{*>C?U$u04u zD-W{MAxm0kbJ72=`59jZZ!36#piv>`|l+87!teM9YWEczdn)-uZ(9&)0YJ%D;vc^CCtk$11qnbB6 z%_SFHdY8twaxUr0Ijo2IXu;eWaR|eD7<}%LvRFU<3>xpso!0hO5+Q!p+1e%%II`$(6~@O@szcR)&p}? z7Gn@|6Kks_>1+WMWvM^wqrRql|C<)XbK|xE`Yg?-Sf#{$QLj3jcQFc}y&X!M@7Z;| z*gL)Nxb_bbd*|-NyjmaXm6j+O19^fO=a1kzsnahj41(wR!qar`1)bmVSbbzZ_>C0Q zexQ#>dbz!KNzbJ7u^i7?kJj0WC~HaNcq|TuN!;hZb4{xf8F4#_rcd5-X3*~=U%b3( zQ&1$`a1QH{@Bs^zSctXUJCFUnAY-)Y{oi{oh_Ufvoo#&ehu78NDAe-oJs*6I#>I2+ zpSf&E)?Hq_cJ+i!R~`~Rl7R2)W6|H~qtSsafHn%Z17%$kT#GKE- zn;r8C`!w#(H+Yhr~TpP>f&J(sdI4w9?;~~eA524<0Napm#je> zD;u9H#c^CH8%u#47ZyNUl#L@&O-Fv9KQI5B_WPvNA94IK1M7gsk7j%iKW7$aoTHEJ z8u9*6jx`u-O~<2zz#PcG*e<);Mt-Mv^b+$M55tTAOJvrF#>0LmtNl4$?N^q_)(p>n zE~1%x_(%DXPc%|D%gT`oEb4Xrk4ES{SL|tO!lgYDeUE>mZI|io{Ps@-KJ1$rgH4ZKe#%MxfIgAN^Vq98zY4>WAQ$<3 zP+6v@eEe>I(_iBg&2UAX^lkC9`nKB^SAUcR&^zyBv>WQEGTN2FDzhe6Pk+kPYV}n` zH$@`X;F}x9kCf8%kS_{I4cG7Sj86pN{t2ZD=EtBB2&=w0yVQ6Cj_kEeK&4W2!!Nud z+)(ksNBf(wN4(oto_AC3WE6iH3niLyIHB?qU9x3R<_sMnCoZIRMZD8Z5agVBvL-U{ zV(bd#H|Uq^^M}PK?m5`KOtx3F8Ya;f9U_Tqc0t`s1xbyeim|Dls{a4W+>4ju>M!)oy*#)mP;je4rePyHMIm-xYV&L9IX z7?z?{dB_L-tA)O#G~H^xKy(t9 zP%TS(4(Wb|q8Qe2B%@t~`CK*mgty}2td@C2L<6rO{X-%B!ly`HqaTXj+{5cHHR~TQ z3yMxEpMD4~gV4$Nl`#0NhJ-Sn>Y+W3FZ%%>MmxL}mUL^-G44;r3;IQj$5BgehnUT| z-NX75A70Zw=P%N^-MwIvF_o|WNB>BU)+IVwZrzVu4&yQHAti%xK>UOY4^W{rVA7LG z^Hi#VzbSt&Nd5kx90;F+U&>bVjc|G3F!GOnPROt56-_Zc1Ru`ydW3ZVRS!dV#YzBg zQWAa4+rmHALQ|Goty*sSDp{6OdnnfQ3d0c@??k2ka@$N7%AOKk_!34T)V|c(^ztuq zoD|BT;>gQ)eSG*oCG=HPkD3ze(p;Xc6vw=(2GY{B7Nq~eTm9ol3q7HS=R4M}i?t9# ze=6FAydiw5CzYD!?MSa6_*Khw)Y?hs^!;FJSE3*C?evT@)Wdi=9`#Tzav%CW@JmFA zre(QI^{6h@hg?LbXrWinaJS#`Z2zMGS}x7!UVeuUfud8_`quujK=^`ui=K=h?gzb~ z<;L;7{0?8Hq1qdA=6+}YSl~Fw;S#q1N?%G7Q-^`RC|yi6q8)<=w6fxff0t?h z`Fk)5Kw*)xcD?)#A5Z8?sh@J2j*FI~bm4;AUl$tXB@u%=@&ODPQUNh>3KEWN#AZsu z!Qy{kT?)+6B@u_fC;zbBaswAHC@4|yk#E@``si z;7w20YQG^H(;Z|920mEsOSq{NqL3-v?{yhOqB7p)0PP$PGodN+fAj4RR9GD3cYW}o zJ^^i^_tJ1p1<*lp;4qB5IF#s`RuoYpLum>{vNngZ^VffNeRX!rg`?ARP&->n8E<{X zTs@yRb;x+clZ@Z^#f{aUbphok;5!PSE~Nv(=jo516$g!-(8NnFe0f401*SbE@3^CN zAzdobeK0?jm=r+U#|IRh-y(cx>SD8$2g-xbmq}6MGvB&8_)l2r%nL5@`^h_f7anjx zgcAJ|H(6N<af|Y8(^&zO{&=d=y!}=4;`z;HDI9=(MPt@q@+D`poI(6p za^6=KYH=v{Qs1EN{kzYv){xQx3Ps0%?MfYbbd)~XJaV}9rXA;0^Q7d`qyc=r<&Fod zPk;03P&%V+B|l!JXG)*(gjIs)2kD|3CBc{IIoPIrplle{)+As1>w+EUa>CQ_?<6ag zPg6g`edLrY($ksx{UKRYVqNfU&2z|!9nXfpU6!tK$9?sRutv7qi`I@ybf+-{m(Oah z!^-4v?uDA8p1bX;aY)omhvFL+I4R>p8pEL5X=mJA{p5`9r(DZ?qg4Q9>@S~qKV+}8 zhWVoE|EsK#im|h!k>NN9g^{NTKgwBUMQuAlfQpWXAV_S z8%d_#sy>bTWmpbOPe(@pRi$Qy*9)$<>tiAmj+vWj14?~P-@#5JL9ybE#g+hUEO-NNcZM#kUou0MaajcK==N{({;aD@HQ9 zUE=44>&&R$n)?*WxYH$Ed%TPfhT_C0wJZOnPn|%Y(#I32W2>M>d1LXfw8GSCAI(K5 z=p6O=MYa5t_>QD})=$VgRv=ea*|iherW5Fwj;AFL*4#)uhlapsNXh0|`e!A+GCjX} zdix};39h;6LG=YLbd@XUlIo{jJ3V*Jcn-PjLN14XarWQtl%n>HdP-FcR-(1^A}uP`&5XI@(9bTc>0k5D$^!xNr4b~>QzjRUOgpQnDjx2&You6`jEWBi-2h(Ac@0-*pJ z7AhI%J91FBx0%1iKY#A>wS`8k9-gFrROa7z_oM)No7R=L-8t9?hI}BpvXr#ht6)X6 zEDt<)dC^*9R{;IBELi^K*6L7wEM%p;b1u3w_=FM{{RMZ3p0S6IvYs?L@KQd<_ul1z8KM5WUEf_<#{?^ zd1`)H<5y?hTFuvbWWGMwuwy^M$6dcX^Og}S>c3WN>L+ZP`kKodDg3@?H?~_Swr6Jpg(eEyzkaDaoM89)y=nXA?{SYAqt=i z)}K_ZxrSCRonm`u7%)cSqILODIrVvMYpbm~soHY$ zDb>m=b?9K32uo?gdn9}`ncRPR`5oR5#<_*IbV*sP!zkz(=b9RmecsTotci;6g(LNa zLXB`_f8I+jO<&{J%kS`!K+eq3JK?+rJk6Jo4rr)2Ua?l)$pj}$~sGk>Ypq=0i9>DmA zH-59ejHnba8l+S&&Ey|{0_v|>*$Gozij2BD_who&jy5O_ynse=_L$=$D}P8n9L(v1 zXVGVn*`f}`2c3f71)e$INPsPg(l3ySj-wCI-#WY?&S*Pb>38-d`I#LmlKzJ50W+s^ zcF~9e^bc_&8ZS*Pq03WLA4e`+cRQ#fcmZ$JuPNLqS^v~LO;Hrk>S$lgQF&ie;uT|4 z@FUU7WwsX77WjyaQ!VD~L*s+$ffp$IMn6}3CQX^4F=u-4z1h#ZilbrO%};)Z7tmvv z>xuC#$0N5fW@Y|IdnlLq5jx7HuXyaIKifh7y0570pmCO$z{d#-NFMmt z!>hbqeuuX}-|55}MD@m)sB~JT$2>*b&>ezONLerc2k*)T2=dXiXei(l)VNos}&IOG{AN?P6#_t87L^m%Ysk`G6y@&c8KAzCExb;># zET0c|n&IHOYt5+k*=5~G!n4*WTid-rPX@mD=}AeLFxroDGO~rm+VWr*%Z4Z?B6KW@ zeel6=lz31Cls>?^daz%xLV(IqTWxcROM%bBuyQBJwtOVLo zCUlF9otjRWY!1A5XA|6X2kPP$1@()syeHC^?Y|F2bCro=kR1w~pE&iZP&RZ}317GU z+SPWOcdQk`S1v_5Unr;4SP}cAo=o)NNLdDa{^P)fHer3UK&1kg|5xDR zaw5|Je?G)zvhYUkzNRq{YsiB*WETa(`0`vHXf9o*XeSonuz+1E<3a;A`OwAq!-o^O zTyH4CzE(=OPnJS2@n6y9|8BAn)aKwPigCCv%SzO6O53D4N^=B!hL-O={t|-1ee^vW z2Sm~G$FgQ*ht=ITXQgYDrFPU)&hGQbDKseg4DC;p0@L55EMPtu(nsj)<)yjDpXD|7 zxLo+~IVrvEskse0{ZiJ$zAx)xy_^+5d&Q45{7bSf_K(Z&uJI}J$J{Oa=;OFJtkrLP zwg3ukue$!edc8%uNUlVri@a(ibV2El{>E=CfHob65^T)VVL-7lS3z7LvgYs@nGRbP zhqZF*p-jWK77Cy!9YSj#-T)Z_IUuluFZy3H?SqbVU_!i=DSv$W&DFDHDauNE)W^6z zL-Ng7XopqTV>PDUTYLm_Otzj!*a4ru)Ja<*;~gVWFCx8FiXcux1 z56;%uJzMm~+9nQOLEGt#G3DnPQ+`;CDP>*TYyRZv>rM+bm#B<5SSe_T^5)0?_expF zeX!;Od9YNtm-vDEniSY~lH#yszgM3^*%5_S@|&+wK#SkugFvhx9`NP`k@UaxH2ZkD z!=&)USU-qkjI)JJ2H`izs{VpJrjZ{WAy)Mhjlwk*P`)lmv5}AC+|33PN0E^jn>}jZz@t=RB!_k&cN;$k~ z$#Z|L2e4pxNnQ`2cyC8J$Zpvl+VW|w2T+D=y500Dz*d{A6mq@)$2((uGuFX?ZfHDSN zFH5*%anJ@goCQ$gcak#klebJCjD(W7_WR|BrKTroarPVbvHg+BziTYIZ`?ytb77MRFfRU7h=pFSMJ zec~$`CuKP~8kFOm{$1LSts~`C+@Cb3pUTIpfsg{)%BMjii7(Qxwc7M*4=KYkui$>G zS6;Aq{Kg&URy-@u8s;u3<72Jb4rN}f3jg@`H%U=n3%H`ZE>XJ%W&f^{_l-r1 zTGopEC{@?8wn*Amxm^!xp3riw`aq#RKZ^+Y)2 z?O>f*xxM|M_pv}o;q+ef0+Znz#Zq`dukQAZG`>4MYxlI~7Yvl~RBQNzUQ|Rt1q2cV z_3==!SHy;hJOmZgCq+UL6$^@#B$PlxNI<3NQ-Od;Q31sYB6h{6qS&wjQUeN>ry?o{ znD>8c=HGkHzWcO$Z;E9l_spI?vt~`%Gyh&Qik*)}`EZYqMa%S%XV!QLY>?YcV*t|^Q9iC0?anzEW{l^Pl0STa>U^AEGLtX{~_c)MD^Y;{@f44=}|)m&)zg)2?`F-c)(j z>>f`&>oT

MKZ}0pV_X0enafKWb*WPGPw)n6<~B4&5_6rVM{{zsCuYg8fS5@C7o4d9gcAJcM=`cbSz-TZ|gl)46e zDikjknL?8&@`xiM#;}2mc1%i=P|Xy^yU` zrj(HTLyT{1f>-rR{-fBDr;uIs@zgGL{>ZDx`6RnazsavUIGNY}c9%(a;Po*9G3mFm zWPkSZqduCG)zt$~++F^ZZ2jwmYZpHu7VwMy!Jp*}fA~#ZqOXf(ff*w) zagXsbKg$Sr;{2PI90zC>cx~!sxBEm)=Rtm?Gb;I|F$Q)ekmM?*h3sr8u*M$SKRoJ# zMo1=LWNSPGpmC>Xt)r`V+4L6ZMjOcFPjYC1gBD2>)9E^xe#aX(i?Xm`1^5v9nKq`c zy5_FVj6F9FJ3oLOC^Hi(2c$gXRs%q*prPUEZ8{i)PaL8Ef&?%HDDCv}x?TC3pG}hk zp`-Vi8i^iU9N0F)*&YFl^lWdMXzD?O*_N9=AV71aKbncq)CWL;vYV*G&(IEW)gL;y z|KB|^HsD9QF$u>aP0t2%;|H*Gr)RAjbw8p79KyBAugd^Xz?*vr1V(!U79I8)(pfqv z=c?#${`ilbk9>Z3?RS8FA14`UY5=9q@Y95y18{2qJz9scf6$?Zb(a z^EKlDD$yc|W?a}y|0caQ0O&zFe6)sN4$a;t4V-9HGy!fy%P1f-K%fs=Q!8iDC;(7^ zkpLti>WVhsQp+KmN%WnqHcyA*jAMuEaH?Dw1JHbf4kqKpO6dR){fZ6(trg2JS!pw6 z@VILLD0%siIru2R>^(4A1kmy20zo`k+PomjK38CsCZK3<9Zb9IfJIJ|)*Q5rkqT`D z$OizJft_g3d#B{Wr}=fC}b>1Bq+j)*>a z*j`g(Y{&jX9fER=`=9fif!p&nt^sV1O%~bD(V=;%#nS*#c*zSHa`7Gk+JC7snRb*>Jy0?_d;e(_4*+FesPQ=fLz?u60}lXVTb@o8Q0zu&i;fK>`5ORA+aOzvUw~QQ zIlOwX4x>4Ih9_@PAAfUj0Q7PJ zK)?7M+BAJ>zu872oN<|OM{C1-?qE1!p(ph z4$a?p@vR!0bUKpD$93M6kArs7=CBtE0O%D0fKrVjz3`NM$7ejG^SmcZTihfOKw9eP ziOd^*&M(TVqVWPvd$B6w3X~UZi zydjb(z||U;+pg+}c~DXJ(>j6iA9*?LW4DTr8sEitSWo?!7Z)=pvXPiKNXmRGzN^0P zkoGv5!EHnu7ijJ9-JhbBE|qib2dyjs?*`SF18C@|_e&;-s0h33~ z0YJ+!<-HnHe)YR7e=66@(7ITRDaSIV{8bG=1#`J~)_4p!4WeIu^o!DREzO8-r*)(i z`&H61W&k5Ha!pKP8HZq-#*46UFB0@9}fAe_tL z@=Vlxu-fT}eWyk-0sz`b-|gUh+U!J0-#ahUxK3CI@XLn~T!*V#%V_;( z0O-v3Trbz;UYUv*?bvj$QmMlqC(saUFEoIDZ;S>)m3yCb1w0x+pD4|GXrsRR7k72e z{mkuA9+xYbatg}z)-xXiyx|p(2$mmKXdv8t<25@wZc~4#L^Rehye|d-^vs)Z%2cP9 z92R%bOiFk_;DD#w@*k@Kv^zbt*ixURMabEl({C)=tDAd(aXlwaR+-QMinii@L|@wu zZLA{3@#DpN)~&6>H#^2P^uO2T{#R=NO<|AE^E_H40k$p; zqAZk&zA#sPp%mm|JVe0rHRHX7GEkK3^&atY-G4nz zW4t#9xJafc*7+K@8M`IQL2eg^v3*IH&V#J$QrUHUrez@k(dtxL7Y6WEb)Bs7V0pZT?IQnS?XH)@+djyoIJ9p7R+-cES5qoilu=s|l&|mHMpO#W zi<tt&XkKikN_uA#z`iR^X!9`<73@A-5Jt~3RyY2j0xD)yN}Zr z&yHi^94pxF!{CgX+rcbpM4{96UaCCU7beB5sslrm9nw1yf)MYsTWDF^^1?EGMu zVjo3ipbg?IQO}eSIWp+83qU15%M)V<*(aQW+OAoccmC{2e{PU z&Du9(C;w)sCez0F*BMm8K|NFIWgbc9Xb1QtmIXzt=vhuVj@{esq#fg|7{wZ(>_w!- z8Y_(tDFgB$&QPYZCRXI3pQ>Mk+@^B5bditx2J+Qx8)}_$PoaC+$p_7=jKlT%AjPCE zp3kTceX&k0KMrYFe%(jtFQ({&N;|ZZD~l>0vU949CGg z_|5o*JcLGGnIYeD58g=L+<($JWnD98XBXR-C(~tvgOtnEYIngM$o7etPOF)r-T#?Q z^UZa%eIlmQS_Y>Onb9JaDrB4l=1PIPaFu-nwpceQ8zeuK~1(^veabBh2iE2_Z&D7;XI0f6AvXlOzL zu)#HTfH7{k?e5OcZ~3#Xv#t+}U7qa(dN2TVRsd?c+o#k33gGvM=~LqhvI}*^>63I7 zB@_Smby(s4&}JSreOd?L4chiD_=2=(h;M|Ow*KmIeRWyS@|kPb0d}&%Q(nbghVe6t zt_`IX5Ted3(%R?~((o8yL*;LI>}S4Yn{@+-OIpXAbz>Y(M!!Lnl_?8A^5TmhfGq$) z`lUxYiF)Nf*gy56I(~OQa_(-&{`Ot~P`9H?V|l?2hyZXQJZJuS+bP${Oyx1?5bL{i zo%5nQ5}+;?#af`o#*QYmhv?w^;N3TgH0a02o_S-n04I;PXCN1;a=rXFuSNqGH8-XF z0J$N*rWyd6`~icJ7KAq81?Sw7L8Qsw@zz{@h0e^^OszD{;octrdYeL|@=&+qr4a?t zBJyy&G~)mavOj5=N}%W$1ho4MptDT8WQDdIfk4ZR0(gl`UnP(qeFy;NFyyvySU{;? z|3SAVGy6SHU|uvYLIBgy;AsM&GE*RKYD-(qJG=McJlBywHUrd3U@&O`7zQ{DeP0K@ zT*KW)Z1f+wFW3977=8bkg*U`T4`U!>0f2OXq7b0qF9{gZMzlRzRcRjp9kUnS7{REA z0iZZ=5PXc}FAhLt$KTSig8-Chw1v2``)rlD^mjO$5l}yE_H6~~LX%`k1mwHXo%t>r^rVRs9>!vpf#Ax8wxdHKy7NG zF4W0X^7~B!URhhKLA~||eE5c46ZjNOXD2FufX?=}sczPJlK`#N72nE;@_a^M^-+m> zS@VZq^m+MZ8i<#2`Ij3Fqz@0%c$xet7ZjTv@?=AWbsDn3W<>Cb%^V2?SAuUX&3k~I zzpU}2*w@Wzr1e`2$Klcmpc>$9@B?0E!!Z>O<;N=5J}zr?~zYLNo0T1^zDmNpDztBvOROK8yxX_{@6= z^^OfK>^z65p9axa;Cb+0CWjF_=)J_+ArI-HX_QUbc?YIzxdCNyt+qcZX=D-Fkzb*Y zOd#f7G*p`AXYI1gD|7R_Vn3Ud|H%E*2M^>iOF+pcy;WZ#f ze-ohH)lT$*K^j1v#g2N{+EyPuLe~k9#jX4~Iw)x>dv<6TD7c@o# zXyM0WsR5M!N4p-Q{>R$mg}MLn@o6uj{~eI~UuXbTK={dAhgMSvK7Tp$d6@QUwx8{h zn0}geyEFdJd1Lyxgm%4L`Sznn=%$O;Ykq|9CdQH5^*;7}%?aPu`xtvmqtc`G5hT~W z^MRG=CaqD<5y%r+F$GvvA1L0ey`Qr_ep~R|>&&gR@AG`EBdi^rIJfD2`x9UOb!U-2 z^y*2f3LoKF*3Jf?UCNsLk9$)sYu8uDykKp?OIB0bE$|N8$Z`SAk`F#CJWGca!zT%6cga;10|v>ccw~^#qLQcCf$g z!<*Vi6vKOmul?N)-R+}-g+qILCD2Z4uQ=>>MoKJce?+b&&{h4K=`A}u2hS_5qCd(^ zF{0m1iFae(-DroJajt*bAtii@miXuT@qS+MJGxb2kK}BZseh50+ovo1SbxS2_6O?s z7$v9_(tfe{tn$L@)LtrJdxQ4%M^h*7KT){>@wo|*{3&TOJR1D0ag&nN{@Qzhx0;qH zcW4If7Pz|Hz4EvF5N0Y}DkuCX?UX+>gK8|stoTK``p@2r%ZYlts=bPIoL-yh^c>Ij zQB8^#pjDZCxZ4%KC?_AnE-6i`v~yR!g`M)nxE{wDGbA42;ktYUyiPV#u*`qXCH z>-n3&=l3)DBbk!N=r<}SV^btyK8a=KqXI`A$Ztx{r%pGu6J08eVdRt2FZtXI-)47t z0^~$yMZ0-E1`q^)+TuGrJqOL#s#4yEr2LeVXfoaZOH*E?OOM4r%`FiDA0j4Gj{z8x ziEJ^3Q{RZEUv4T5(3!^0lw}={{++bg)#0mjo&Eq5xir`e?SF1}(m~T_8b1cheOJEb zL#`*~j&-BbM{dopN|UI@eTHoKV0jy3QXaUH<&kn*{z;!TX#$ybw=<%{T4b@>`99UB zjOX~nn6zJ7_ojYQ*Ef%|^aI*W<7`*^D#u~$)C&=<*Vc7Cz_TD5%#YF4%-<1B^NDsQ zpG5F6X=V-(w0K23)b$&#{0@&MNy}4oxmx3NAPvYngt49&kWZsvC?_4isH>vmyW z7^LC5j>qUx_Yd4x64MxJ<3k*c&!I6_?#*ybJFH-=B>%Lxul1$p7soI7#<)nkSA0{x zF}_B>wHzxgU(;^)7Blj(9LOZ9`5XNuWEr^|f4_8kssB^lEO!W@>Yw~+ zC-{=av61D${BwG?PsB98M&M^%AJ=Qyn3iLgXP{ktig}@s$5y+;jmH!}U5@dXmLvDC zUUs`LQ`2&{oXKOW22i^Ezv-Ws1D@7hL)(WjnT#0!7!33n6JVG*GQ%4S5slldKGPzU zmFST4Y8{9^P1nY9rSste6HF#;v(7;2B@{xY;At2u)LW==!mF0(qdR z%=DI5Y$Sl%N}bQ^inc4H-NwX3Rce~U{hiw6W|4k|w72|NS6|N1)%G<2^p~9-v_Wqz zKTfA+D?E^fDK>#?jNLC>Yn@pwK&Rv#=A|W*`j(;D-+W*V;tI3-+fUHgcwBwC;(6s zn&r0F;RE$pnE7YFrg_vp=_=|ge)z}EMPI5lfC7d?E8^0mk4j4hni(l~TYthazH(8g zVX-x9@2SSr{L8g zyC;we?tuCLB=OwVe;7}Xm&RPoo0aED%9C)&3mSTH=fHHvd!;o@iI5KSlQ$Z80cGym zKyBu>;JR?G4Tk`d&zwFr(gYNH;<>kkd#|583oU>%3gBW107bq4*7TwUI@Cl%67$V` zfqN%HfPDa!1A1(Z`|#s-<#DCPdw{z1mp0l+hth9*^+w@^HbQ`HWyof`kl%ANu%c|g z5&%kGv&5e^z$EE$SPL(qFX-U>5*?i5UK0KP1V9REPykKGF1%5j^m@rxo8xw@fNjth zG&g@%pdFVPfD<4-2w>?El8qi!5AeCQ34TNK$;XQM1kmu>n)^xjxI%s-;l>YO?YXbt zv>L|-T>;;Su0x$vF97Wj^FHl|75Qya+Hh_7DT0Q8*tlU#^hOvj-n54|jv`GCSe5K6 zUiffn09~^Kz!i-t&Nx~}?L11M#n?_aJlpd$DSvomp^IUmh+sxz8=j{sx}+cFpqcK-04m^FxTB~#p-7C#UfK<^C51$k@*cdO~vX=l* zG>)Pfl6>t?o;iX*h)L@jW6FsFU8jJZC*ixz8qK+4*1fsfz^+bowrDcRZ(~2xRQ`=wX%` zKo5WSFQU&86ggi(8-Z~^)>STTJgA}IF!HS?i_JKKU?vGchPJLs{vm9S?^w@f60F|CC|+u zoUiI8fY0cIC;M9iC}lyT+^HYYx~jqV(*9PhotTHo7cFh9JM6z_p#gLTz}6xi^V|8_ z-plkA@Mr+FwsZ3z6HS|p>u3PIL?3*RF7C(Y_qX5h;lkNB%em@cUFF$)lQjjP-5_M= z@K|SBe#e?SKWE(v06I@~Rze*>V0eQJ<0y($Nl(vI^;m)XSofVLfcrH9 zbmGq6SaOUhomX!Eu+F1(>%{vqSRc);gUIh9JOWq0Mxug#5mhko19*ice3-YzK+(cr3TOxWNi4| zwtHCTN!nZCeQ2h}NpmZ4XR$PZ)}TDVxwMy4p?%iTI8NJ9zI*i|fj`$6quCUit$C68 z(di{Q065yF0n{mXYXH6U>z;=fYn(~@C-gtAgLio&v#MmB&Sv@`2u+%d-7`=1p3&mY z7UK6_y5$1`Bz$d`rpY@0lwR|9eExtg`9pq>(t39oEwcbDU#vCsmYcP|j{z3H`r5lf zJ7~Z6G1kB@d%=30$7(D`#!R%yg`c~l^E2&1HObmaZxR6X{kcz&PP|tu37(&*+ZzCa zmhXyJs_%YWn#|!+8=-a7vNr48Zj(CXAPt~=NMKnD(3PT6r$O3godfcKT-++a>U##f zmpaaP%_Q%2Y}-dQX|WYp_pg}uh%^ueeK$y#_ zxLsT~+b6?xnuFShH3;vyyod81VM5jt|MROm(N!xSH{e9XNh&_#lf3=Xn z-K0F|cgP9k_Cw3D`Ql{Kx$ZMiqu9zd)J`vMtH4AL_e`eEsa~*A;i0QPJ06$$UXVJ@U_a$XcIq+TA==%yf zA|3AE=0y46A|5w?22B-cn7k^k>uaW~q=K66i*;@J-#ecYU@YZ6R-W55fI79hJn7o`~j zUjS6L(fZOVv&A$(vTJlURNJCSk3|@Sw!Ba30Mhbr04RQxp^b>i0;2?gu7ReieW%8z zKZ~aMIwb3*scQCqI>6OI7*~N`EDc>IVLsU7T*fTBL6|sX#1DD?-Q6yGAllM6QY?n zS7N_NhjGxMI`DLx0WyDz4nm>1>MOrhpXo;>aI*;jJ?X8RN4e=!r(AGrzhuI%1WgVL z06k{^X)z`OwBcI!Ruc1gspbWU@=h1113FWHA~dX^K&S2S8ZCv}NFx<-+O7%(1j*IN zfGwL;*5yR?Pk7Uh7%vXoHOYIaozy%W28>JkZa=1+w`Pr7Xaz+(DD-i(^l9wk#Wprf z#FyA$5Dyq<{E~5$#uv2B0(P5o)=d$2w?gaPJ9RzhBK75d{RZ&HLDJv@ohJ=$XdWfJ z0iXaCXPJ0?!U0okc0 z+ngSCxma_$xFow9T1ak}Cejl2L#%Jq$!MH|j+sxgNtv@%gwiZNwfX|Q~v zK>Os&73O$*V0XT{0cROZX2y?tZJGHaOgKYK^z zUWQY&Aj*QfiGEnhxxthiq#pjBUqqe`+h*=2xqF)A4|=D@IzTD#G7p zql1ev1;DfEgtsIBHRYc#P#a|aIZSCs8!p$8L-aQ^pyFR@07d&Jeai9L%=x)bp?U8# z^{Hn2LcUptxdQCgTEfguKU>)_RTu3f!_E;YT4f zRz63XD=B*~4WOjQ*s+#AW@)x_TV8K@^+p{4_kR`W^2p+Yx5KBWk50%7Kp)^lllhAs z9?)MoF#WycitzTwJScx$f&94c^6V_+oLNS~o`&@^M8S_9}w z>LY;M`q5@u4;+x!185t*RPS!4C7}V7I<*meg1CP9l0r)}?Tw~Vh-=sZk+so(=p&Z4bvueK3uJb;L86nro< zvWZb1HkD!MlW6t>losPUiSp2gX6aom4jlS~8PyBT!`JBs3WT<+jhptIFl!++O0KW> z!`Df3JaK%40mb~HPq!4f)J^UU2^!!|pBHGnpXR27coAnJUn`X3@h-F8&}dv@-B$Qha> zNyGjw#(zj7@!tB_kN4`C^uHXRzWd^=Wq5(+-QNqiO1k!UzLeMQRl}8qbw)#&v-aOq zSKzJ~8a3Z{;iA+IL&S5w%mvTTo*Ct8-%3lxBAc|AO+e9B4y*>lBLj$PZhfDuD{VAO{YhK+zAHy+6q1m)M zTr>UU&(2PK0u*paoA*ZGkE#ryBWW&5`$$~^Eq*axGiI0{z3f##$l)h$Hy=~}q?hr1G@HzWIXcBX}Xut|BllP`IxZNu=$6uc8aqbfQNDQ+*=3RZj zgoeii3NADmDLngL?5VMbOM6Ee!(X4VhMZp<&4G%aaM%xCR~9=L+mSvhGe=t7`Y)zxh6*>3X}}Y#+r$0~Y&U zXr|&lscb(q;n6?P6!rIUYE~=L8>L*m;-TTtK$I9W3OPeFR??U^yv8Z>-}%`-Q4@_{ z29dS#HI-9CG%x;HzQ>xh2bAQ0teJdk_tEV!U+4XDpUYI~<#B^O&@^t0o_>nq@{b;$ zwZxPa(g(@0PsIFF^%JEh{xP;O9t7}2S(W~2lyrY{D<^whnr^$@Z92W$p3F!}Q#%Co8m(`7>sWgGL z(pggCmrI=Z;gTm;>c*vfhl1eYo@) zSK(Qd8pBjELJpb(DL-{$F9%*n48@D#jZF||XHyZ704S2r&*4z@0opEcD%`t%oKTlz zVL=0_#{<1E1ek8T-M-?_gT{AIdQE>KrE@Qtjr3{Rstt;E zc0S6kH#sAP2p&n$Vm(geR5PWX`at57c!ZbZ4Pz2sRJ8+Rw(8IX{8e>OBf$6ZP`^A# zuaYNKg8Ga%pBT^KmFmIR!JHeUa?{3)=g2H|3a?@K!@T zIL15#cS!O%J-nhjQU>XERetZ9yL1J5ePG5_r|=J8RP);K%dh->xWlL1zal-`tpOAbPp3;8 z)yt&0XPPu>_9GUx)-VXLkb$xnkXQ+*yJuDK{&;Q+dU+1HR#yPt;O|+V>vDyj&=siLj9+zh_0Cbcxa)=6$ z_qtpEqQ1tsBUSK>L*id78pTv(xgXJQo*=D)fCV7{egM^H5j^r3&Wi$r&-^T_ zmkN*tD0vv7KF{8Iteb2B^RQP=K`nY)xWQ>-dK|n)fL4Pc%-U*_SIy z50{oX=o1-K@Az#d;hvyFZ#0BK0HNrM|0Tfw^L0Q8afLhw(eY9vexw)Zu>u1y>#+j7 zQU1en`48On5uMGXH5q`wVJ%ncMg{|arU(Fa4HBb;hBMP)&LC={H0hr;P-aO!)!OgaCkkuF&ZCXaV;Rc z)%?!on5{ldUqE}}0yIy_osT|d?49Hk4Te{6wQ^^uo<+mzyt@pJONz*L4N<|cWT2gZLrUN z?WVy?KCqcBxkNCKfBFeqISaG~W_)J;0RUR{ANdmw0N>$Rwz@Qc7JML_0iawr|38c= zg@0Lo-1pk?;i1)${(Tr4xD+*E*oAe@nY9BW8hPAh8096HYc~W||yI#HQ)N4iUV4^MbKLua{KogoS zb9#(}yUWi#l#i6Yrz?T~SK8%SCk{&A{$n(N2AA}c`CgST=WFjaf8HP2pyaA|KKh~` zp7J5}!ziW7FLyquVBVQ2P<3*5iiuCys8ej9>S?|-ow6SIsn!E$>z&M@_Q>)JUuJ3^ zuG*=HpQNKsub2I}tbvfc`%!2BEi@34@_w2(tT7jmDw?Gexul&~L!jZ2zBZ%Mc31nC z;dg!xSHQ0oSHLF?pd1`d={)oyD=U~=n;6abDV6%S_D8;v4*eTQ{DuNSANc|71B}LX zkbvs>i15Rg{;D%m^DuzaYgB$@008K1>R0rKVQ7POSLytx*02CT7kuDmMNt{`pVxpe z^*nX`)jIoW?xZ}dYv-SNbG%1mr$#pCy-9shZDW4g-6m@<0L;iaYi7pS%>^Lj<`mXp zM^v(}L<_P8(88(p@oNIP*BU@mkbTwv$OHO{`X7MCCT*$u?~(goscmu#X)^Dv0koOQ z#O(kM0UknUYONL8wI`7512wNbLt_ORJ^4taq)&h4x1DdW25r#RdgpzL0GNC<@Jq?j zAbPX*SNIs`7JUHw-XT6!Ty_U(7`RdGVw;6y94QFwKM5Dc;uQRtOvcvZ?oyXE>FZvCt$YtibJLtm!q8H15%I@{4&`-w5fo|AmRC8+&~5xCu4jp`~ko*hX9!I*#vQ_ z_&JT%0yPUbPI~})w8v5bEh%Tg0OXYUKR`VyZ#6KCGruwMoz4I=z&R>s%s0$6BNF^& z-8@Kssea^@+pIa(q<3f7P?rIji~VleQ7kfm2{YouPuMEY;HSdD%D<~T<_Bk2j28xF zrZcP*&vF7F&}YTNR-ZH}hszXQML%`vQ*&dF@~MnT9$ntTKNY9zy#;<%dv@a4N@PI2 z^)FX@jOjWg29arl1 z4d5*qj)SbhFxHdGCpCUbC}c?GPM~H>+31;2hghqMKk%y}l{tXj$e!})ssR==YJlmo z1IXms?JAy)|=9st(kvje_U;!StWUM(R&wTp%jn!Ir(sPG7e(<@@%@SW_Gch1moK)PD-*G&7D(xnp6%@;W$ho6v3^R^6CHykt&5okUjUyv zKxM*|BS)a^=}+AKP;H1mU=8ig4M7|-18ge^txW-HDjj<~a{zzBhi+DF68~77oRY7M z?h&QSd4WJGxBlkt&g*vBu=Ae+$^a+?Ec2BANZJCs0=HPsm*%r?{{*d>?R;x$0PPj7 zbYEw!l{!c7Gc9rh9K;I?U%c}zIEyZ?9cWj+=;g~qn`Jt~wC{tZSrITLbj(>d3b3Hn zPDoCBeTGSYJAtxx5;zMjF-L~hs(j#{(|yb)tLv)n4daCX0BDj%%m0+lW3_3&-%ApB z2LJ`-a{Jnx``Ske1h8TUt#F_D23myb_%6TGwH@>1gB}(9J6E8f@BWPI2z%FawNW=U7qiyr$Iz)xK0icUJC%kd9I1Ij80P!pGj5P`SIHXo6lB4LX%@=<)MlX=XAA&YEjYG8=D<9|MSTL-Wz#MR}DN4WnEu+b320X5|-wRe^P(6^m@U5tDgAh!2%v!h!tap(EhRDp4n_=>C{K?%)daCXK2A6fL_KXiVuxv@cp&8B-3`m;yaUYlr>w+F_xzsiDX|)W%CPS4S<8=g(=}devm%i zQ_xcOOnuB0f`A(WkqH15pna$xaEktCP`G>NbzndSG>}2X6nZu6aK9=E`$PXaK!X zedhadt3;JeJRG|B)VKn^sR0yE>W;qwSRWKf^~cwDYv^T-^lE{1nR{pCzSf;XZQG^P z0D7i)l;u8{rM&b%Hr0s{e3wIXlk8W!r~ZPyA4NOUmk6XEz+}6=;9+4$W2~u^2fMki zRrcb6YsaAg#cFIHmbhjd5XC3-5yk(uyblbU4&mnOVY#^X*KmHe{3&Ey*D{RO^+PSKpTljed=HI^~)&N>2K_9^1{qG$0zn?VvpS7UU|7I2IXVx)C z<@ML)`rzS90xDCbwssn?yUR-aeFRqJW21ZY;ndN+ZfbCZ5lz6LJ8ipe=W$sxKhZy@ z_pvWm?_(n-n1j#BGEQIol=|eT#2yImBWU(moVgOeacT*S_E-0@zk$fwIFA zw9_9LKN+hQE`w|74i%pyW?_whwC} zgDYt-NGytdImb(fsybZN{=#yi_;B0<5$`H1Yw-+Fhdpldoq;XdUo!AF)zj{iX_}wo zZ6C+Sq+HCy$TRKcftl3`00`E^F>c7Kj8|8z>2A9sL;-DYnxpzR!>7KtVkKv4kRrbT z)T!*T7Zdf=estkapKY_(?Uek-V^4gl^Onn8J|xDLvblmKh+Ln6t%B%9+c9Nt32=GVQxZ zI~V>-%U)~VOzVnfzKal8^n)^91Wq5;u3(L; z66rDRF8L%s>QSc8zDo_*BT&(QTJj-2{0TlOC}Vn5g?QqN`BR#Fkgn-!LK>jazG=B; z8gV(vvRn&My(pg^_|RB3{b3TRVXE>-7VE0;A#TJ|&>}qNtpV1{>#s5CG}CRduP7#Y z{Gfc1z6wvi38+QC?B>7aVUS6A;1B5{w~0Oag*md_Pd({RY6RAdL-!YjEc+dD%X&Vp zcP{t}&VYUz;|f(M;+1^Fy_Y@p56uJdjzOrp-Bjw}e_Hoatsd#%jsQ3x+huZotD=X7 z&$Om4(x?0?cZ}akB0%z_Q|8mO2bb$|z^9lO;7`<{PM`8b`tYBA91HiNoG$MWX4wzO zujHrOVIZISIr#&t<=Fb>Y2QG$P*-w&Vuc*|AsDe9~IMv=RMk6rQ1Kl|JM4`5o}&CgzTyN@xEL)E)- zw|yd}_!jArF6r3b!?Zj(Tra!bmn&2CYn^YFgnWvBZs$?We`^3`EL@I>v4@F-HfEfq zQzo}Gq0o_#HU5}@`Li2?Fz!uKG9iX`w|z;N&Vyo*zNu-){QzB~2k;WI|9A8SKLEY) z5d1nJYr-Qw3j!u#$iN1k0aXEHxF4g*WnWOIl2Oi z!`y3h@M^#e?$DJgE1-#9+n4`j-aznzacjEXjiQl zqOoaj;+S7;CfC4o9q=Fmm}PCF*ZDfIL6PMDmGAw&^Wz>GORNDD9=B<$G@y|MN>c-< zv)=xx52>zl=UV!U8d@^v>5zxRp39{9?X!jEH^*-?0p}c-4~ORH;H-HKc=R#xpEh8T zLz~aucUmMh@0^=MgHODiX^}&xgYTw6?Sa3wCz1x&dLN~<(W=DZ(M(1249bgSIh?aHf~&TEFM2AJRrmiZKsI z`bCjPsR0yCu4r@x#C4LuT*Hvts|J8}I?vM;gOmjVEC^_D5S7=UcLP8*R!P$uU>3%Q z4}AKUF;<~D=*>M2!UpAqe_7sP!Z*WM+ooml;FGV5IfiiN34pA3oPSF*YOCFGEWbO` zmid~;)(8U}zbdVym+Bz&pjT}aWA=dHJ-rvGPovQp&8f%+ngNHEjkZJ$0R86Gnp1RT zV?Wwm0009(Lj!0dFmlX63H`>0elhk`8!P4L(}>*1%5~}ha3Qqr8t_V=^*q@pdaD=x z_YfVzQz8REDeK#dt8pz$O_MPJ&6Hf3%9rwU7v4|-TLC3KFCX4={W==7n$%MRsK9Ez z0v-Tp3D9e%fgQjb0BQiB$LDLZx6!qnFO~K-2siu&5r-Ei=ztwUd+z7I{kyc5>k*MT z=D=5M)Ip2bhdy_E0I68}#h2xpXI}Q)hlZT6#yI680I%R+BG!CjbFmr5hCq@T4Jp-F z>kVBtu3Wi*s?kh)SpS5q&ib%ge%P{%Gi!~3K)>~U^yuGJ} ztxE%_TnI&b5Zw8H>*_l@7k%N5$glLz#fp$nLuZ-cFim z6VF*fX`eO9h?(rFSy7(tpZ<`}c3KBcgo3xy+*L8ONIx|U1;IOQP&j|v$7%pgY_h*i z){Jl1?GeGVW_f8Z_dD_;EbM24IW&MK0SR7^9vgeleEizcmS}1tY)NQL0=RfN>s~x_ ze4Ar5fHwRcZY_bqxu%*mXp@K%@057x*>gi^0A=3K`Oerk$vPSgPcGc;-)7F3E=_Hc z3)Tb2o_=Fhel&bPP5{^@UnsBn?DTrs?T!Xp)>R+LnriKCbLPI&0sx8zP&DV+-R7#R ztk^kn|EaMqVBDO0hHfJGt8M^Lz1h-w(tobi*-e_=@jF^;ci0ilB;n_riEuCubBAZG zBe3{dF}Blh%>TY7u~qMQBM37^Q_|6I$SlcJmRm}t!OY>KKs2KA-&(g>yn2TOR-KtO z1DF0vNvV=x3g63qoCBbKfej!>Dc(@ z+mX^H&irt@=F5}LThuvV*9`*z3c&IMpG+TSarHakM>IjBL9t1U5swylAG${QF;6v# z^~fcmy*9NU_2eKqnNvEi)O_$$y@MstKVwefPm)!ncyY|*^b^JzVF1cCuxRn(%QUF0)TdF0L^kJ zf8x$6`rkbDzrWngyH<+-#4R4w+3khue;NyqsI>N{_{R$*OdWru58*y^X}OP7r%xH& zUg>$PeG|=pycclwIsp7;_!Y!Yz?AGUeN%fBpZqdw{#3q{=4kmf)3<#q0YG21!^0wF zQkC-g8lC>=_k0eZ z{$tu2!B0L;c#=M@VoiR=$N1>6rdPd4vWBo_vaDU-^`WJGYm;)!quu3%_D{5cLNC(C z7yv+7+W}Y}l~{W+ZhZZ!Kd7%20MJH4W|A4nco2hRk=&zUG-kc3|HGr zjK+}ri#=>#5~lM2)W8+nls6_Cd&s1`v9HmiyhYHZ@<EMr`dukyES_rai+M1c zOQJw-2d8a&(~NS8uhuq*?7ANyyYxM-DM$MwLr61zo85Uj9or{j!ovidVjqWGyNU9p z>xGjnbo)-s##(~>;Sn;(zroaAd-xe`pLxliRCCNAZFnF1A$q2|?5mU%@=lxZ$5Iq; zXE}ta*Mg`MV=d3o?zv3l!`hs5Q+Z|AGvzKzL76xgi?s9{S6+Vx>w70 zZUfT)QHvkp1LUMO@%TlxA>M;2E9)Nk1erZyDeSauoUN-K`X6<1JuqXOAqgkYWu~!F zSp~mh--_pyWokd#QPJCoc1Na}JI2fz@MQwygZDk%ue-;~#GeG7RvWv(ZH4UP1}map zXiTOq@l_3us&N1sH5SAFNWP123NnNp&|L6G<7juEOJfo5de$sSuA>myGmfCc~0z^asl1alIG6(%72D z)Espr1D=sKd3j!Jjv>?|0Wl|*5ABiKNO`J#V!TvoX$#zGAO09`VHIme_+x+b(e^Hr zbo8g-%fwW+LC$}?cE=mZoQ#S)!)68S{?BZhf3BnL6EU6EB=FP4aFWB?9d2ovp#hW$ zmZi$S&B^D3hc@%qc5+%lGtv}&nH5(b!hZ&JNelxkgx!aQG0@UZ8r9>=q-;99e{>V@ z;e36yPu&3*EYcz3Q?;?rgfZj&*XJwCCe}XB-fHd6ZqHjU4jX5lrmJoB557I|(GTjp zMhA`nxQ}V$yx#$h{7U0+JQx)o@omB&teUhbG_6&X~u(&l6Ip%-UWDqP`#)- zzcSR8(#Ep?&KraiS}{K+%^PUtd)t3+6mB=_3c*t@TvRQ19e2+R6vKXw4zsS3mb_tz zQc@a|?MuRR9+({T&X?v)UUGk?gG;nE^76yN)GxS zh~_y!1SM@P0Kwint{+Y%0F>*h0hs~%oh$I~Fl69u38>`S?&-R|8+wmq@)v-n2hdXs zO@bu=l(AreuIJ^j)4YN=EcE9JTm+%{@Q2b^Hwpo`0ZO_Y)DCtm>c0aK$O=D9EMgp=8I2$ZFEgGd}x4{;$vUCX=oF6`6!tCiR;$OZg)%r zK>t?&(2E2BMaoP6(q3u+H2{=4vq2Y|6nduLprHYoXAYpArg`dPs|h@a_Pd4B-ZTom zRb$S^`I^&1G!F72e_S3<=}%w$jy1jxmnvmLGab|ffVQQes%e~%HWO`@@UjWea=WJ_ zpw}4!cKkGJ2clijSP2LXzAr<+;Fwd{?aB6eM46_U#@wwNwGPj!Y~Z(B5)qyAj&pJ>kw;k@k=+FB%h!wKIzk^ zeq>R!6))as?I1n`4?}Z?<}q)k)Syqk#;n6JKKl#K&80zcj~&*J^%vU2&~l2V(X?5S z)*|!r_(VOZ4`t_o;67yJYAdE8rtqx&mG@Pkdi*o_u=$qIHlDnwW1- z(0ahMBs742SRWD^4CH(;O91Gl0`|maswxY=dB)sW?TN-)J%$Fw_er~*H(j5k_tYJ? zSvRyv&O7tQGU@7>`5W5dnHuBu(FN`C4t;dOI6A28s<*I6aPj`Bk?C*_Y=h=-lB zHVJKs)>b-GfaDh_ zocW2#*tc)KQvFPU{n1ER`a8XC1-Rc)b2@(S{GdJ>QU5^l=1%L^KOngH9A2{#>lN@7?b&r5st%MuTiZ5^dstj-v^9m z2Ice)-!}uWt*x=)AN^13uh(l_#Vf$H=iX8!^K`8{cF{WoAN3w704U+fo3KY`4a3xB z{=z)|75>p~g*}SYu&*gOKpvoP=tG`Qqy3wRCWU{dZgv1LjPqQ5nEB`OT~z+f@W=t$ zmhaO0*l}mvko+CaW|4lx&+aeK#}F@gT6!NlPiqRUBgg*<`cV1h((XGf!6(`qV%^_W z#vu~`K@IJfuHGVcpL< zH9!TjJKeP3!oEv7lxNE@^7Y>;4QTW~#y-1aS_7AXAGAy9Z@b%Lklo=X!wk(~x!jD?)xe=A#%WEfI@s^6VXzM0 zr#%XOO*A~3u9BRKgI(q2CazlJT-xhs=d<}cQPcc)I=0)S2d<#OXJyHA?8lVlRacBL z8UBjTF7HJ7Gv4@|L&8_eiCLxtXfNgwl@;J&j8Bqa*RwW>2enRI;ge$7-?_M*`rFBp z^2J9FYWykD&&aKg&)x%jUI46O??+kLKMD|~tHZlIsXykmit5ie%9&8pKkPBTF;1(z zaX%mtT#w#VI&)nv9PF3DU{C?@v5+#39)Lee~vDX>(BU}FE5A0H2{Ep>E$}h#! zZ;qKuQShe%ph;d0IP9ICbL`GfEUDIiv8Jc6=8y7@a|8EXN-KZX4=#4AUGh{Y3xiXr{Ca@)?Y3^HA}*j{G%wjzVN|z z_!n&$4jND7NxzKqg+~8GGiGSSRJoZ)XfMaDl62Bz9FhlfKlzgnxD@5)7%~&bopv${ z@BEnRM({fS@Cpw-DShS^@WxjNqgZx|Kxt>nX_J2at>~qyBdu~?SCuAyd zOUaTjUG`>kHSG?!L`_%Fnb-}v)ctfwPW=wmVZz!E(u%hrz=~Wy4AAh(xPH6#yjzF8 zTxD%yGOfT%vb_DjH|jiGS1bNhV7LzoM8cYYc4r~Ngld_9ujVh>agN?+Y9x8E4u4n( zm;MfC(|MQnC+g5|^NsrhK#^JVA3zrxP6yFbbnwYy{gcv~^CfA|X`?0pv>9d?4WPu~ zka~^|9a+G$p^uhK6PgoO)#m5L(%6bdz<%UK+naR&1LzWv%e)WX6#Xz3P`N!==$PO) zAOkc;Kn`N#LW_G|hT`Q?1?0MQ>Wqfig`rJm{G|qjWsoc&rDJt4OP}jS zrH0ND01D`hwg;RszsO z&Tn+U%;5z50#FG6^e35D3<(h~Yh>gK<@b+s94zyl#i5wwepo_VE;0*!Uz&727+1>I z8bCRCWvn#0Uo`EwTe~E6L6alEokIi;f-Vw3=i5KMGkrNPp1^PVAsajC1xGI(;)&D8 zG=)~!tVtA2duWgx554Wx0-8$;6S6ULNZFu08CSmb<3CpNXaMM_8bE0q+48M0PavIfA) z8ZX)nhg_a*rKQ+fO9KEZO_T8wt)es6hz*i)+FCy<&#c`40eGJL;Tk|0>q&*(MPmmV zdGVi@f$LO*12d9{FM$<~hD!YizH$O%-W9_6Y zya~UrG{kSF4_N^FzaMQ;na@ZC;PWA_%)XthuNsN>TDk)f4w&lj&Bn$(B`aPoJ5yids?VgMLw74W0^01S9Qqo+3Kx6M3YP? z<&Y^gduNvBaMo9>JJ1LRzaJ^^%3l8XLHxV*j=Pl2Z5xlc;h%-*1n6W*r}L!57z z9!WFb->}<;@nHtzUuXbr_={1hRng9c{n5HDVQ;m856Umld((F{f0p6LXaFtZyF6SI zZvgFO0`+|HO0DHBS1sY^>VpH;!=V9GKyT+~4WO(CX0aYXE?eR|JpS|F^vKw#y;kdi zGd|A83%uV<>FiNx0G+9{>J8K6U-hFLzV?sQBRpdltec|`w^&zQ^!ZiDXB*|(;Th|801!f-5(w<7pZ+QG0sOVSK9FH8dMqGY zMU4$uOohdso~Cqm))@XweS8KWts5jupedb0UbAtG2gDea-t&=LLvwkGm(r`#NcI4L zN`oNtLudf407@6cZ=NvCtE#xj7)!_dK6M?6$(rQZsOexg8`Z3G}2 zkSz4UPyb4qGrO;sN34#`A4Bl2yx^?%bkMp9kTR}&4{e{i?&#tcfrg_i)2(67%qk zST{`Rd{k>D0H93CaZr;3w`%}xrqt=YM1AKO>O0WIO6$rWGuCxF&(^yC#oMeCYxZM` zeF6OTec1-u`$*bT&(jSQ0hYvL1VUz?Chh0Y@e6MXS#3r?bRTIl);#npeF$-i-rEP! zPS064K%<14bJ~p~y^jHyKQhnbrDjuWxEz%CWchz3_x)kgLp12SKE&b~;#zyOn*LGa z;kyK2XHDtDvSHF~3-f$w3g1p3S<;z>mg7w3PXIvQdxM?Fn3Sxo|DY`uP`EXKI^0A| zXYPJ!`$SFNui$m8`7^IcGrd#h!{|QmloQQ=Nyaz7ormqin2cA3Fs;PbPhhHDPGeEZUwjrmM5l`}Wc*v-#-!Y#(G&bU@8~eD8PI=$C4s zq@gms=a%U>k7eCHG2W@%=_6iBSQBf*0JH!;W-?sHWd2bM#)~$MviJe~gYSP=A7SWl zyirWjfhMbcVouR=(jbhKdirIJ5$hq%DG9V#`YxO21WIWyF9T1MS6j0I~^1s={(4qvc?{rgqb~@Ie)s9MDaIg$XAd#f@=GsvmVCE(BhR zC-?~A9*_LA0NEl?*H69nKt|zVG86lGrhsAUk^Ib?lJ_K;cmt2dKgUE}GXEK0)5Zy@ zr*x6~=u<8bUPDrqcGLkI>C4CsP?euKGAf;d*gs6?<#@KsWbY?H;<*o|#2uiNP26&( zdSV=?C>O~^!`=RvNoJgK8Ih1lCP}(VJqN+4+z1-fjBodUn}az3H%(1Grgm^Ya(ko} z(66J)^kbxCyUe;@Ycy2y(ccN28^C5kn=_fJH=K!t`b7rd7_~)NsLgthCHH=A}h!&)WF1sAf{v4vG z-Qkvn>9V={BiUVGN3wk)rqgN`$nO8lrupVN+CCA}X)OcO#dg-?wRdR%^@zq`P!C^e za7gwfIsc0O3^}2(QwK(IP|6nudBFDij!`HUiZbI%9u7qL5+KYpP{T*_ug&z(=5V(E zGn=dFioN+dq=TPm9h({8%*CBoJ^x{yXXcIfuYCXaosWHmYnLqQwP`*!<=5^u+cbch z&u@{2JPx&)^my^*VCNDYhN5+G6gvEU*H^(kL8Gzt@0zg>-9uN)OS?x04R8w|jEZymq1vbr!qdj9`CHdmT7Y@$NVA3mfV2)KuFuYf;O;A)fG)%Lo) zc5(i-eWz!w*Li-v2Ksn`cJKJV^3Zo|__w@r&5`!@N6(GF=p$)p2O#U z`EOW&6l(xz$`7rBv;x}H-rIGBU3YmTdfLohq4PFrCRtx#BIqQ6c+p6fUZfXyT>*dQ zr#wFBusLhox>Hv}AH_APLEY(R$1pZnch$~*JFliC6n(X{gH4rI6s}2!0BnD` z2Vgq_G=AvgzRDVK>KR$fq&0vN98h%PVUCrrwq|IsISj6eNkBJJ1glmMXA=@e-wMLt|NYDnl|O@k=`dLJR6x8pg#rn$p2 z*6F+;UqOy`Q?ws8={S8LLVKf0e(u5>I}0?faS#h|=eVkpbP56uWNk#l-2{LHVvR26OxI@YDKEdt3O4iEXmGO zA~bxm&iJ@w7frkn<1XU|jC!l)E@X%@0D#5aeE|OmCP&;46_A4ZX>>`bKjJW_nkJA_d0j@^-DsH5Ywq1Z~Tv<&H=5H_ac(ot&9*v1N-+p)B z@YVoIc!0X&CA5uEo>4V`HuD1<$VZk}Y29%_yoWVI)b`ohBUod#6$5bkr7I28t^Ef* z0h~KJf5>!^-WAdQ+(t(okhFi&XO5E`o9_;b{po5$+7dcbvcPrM4rdcU;2~k`G2s zW$e&o5{GYkKTHQ0`hZ~nO{@NQb#a3MeT+G#>VMz+eO#^02eG{fezNv}=k9+mRR06? z7aIK4|IB~Vc%U>D&(ix7ZuHwZS|8hg7?Zhjb_V+bQanEQS@%owV9YyIV;@AH{m~FN zbD&Z94f%cS60MifDmg4MmT}!Y^fSFPeK5Z`d@4Zz06+jqL_t)KA>Zq2>==e#ERDrn zYhM!DvoE{iccoMNb7tIc^^t1ZhlB?XA#04$5P(X{8n;uJ;ID~sx1^A@5@hR!%z^e7 z$oi2Rtr6?46Igd;|1lasooFMz!`s{TF&aP}V95ARr!t%IosP{x{th?5WDUw1KModS za#X_NX#&RRT|k{M07v8}cY*}ZbGo)qhUp27^hvLm-R?`$w1yzAmS%6u?E*hod+`@z zQBlq%Ssv#<$aFh6ob7EUWAVz`yJR1fu`KbOu{~+@yZ2tk;Iy`>Vv~N)!yW4E>r~Zs}?3*yw!I!GOif1qs<-K1&oXg=K?Xi?h zmxp#l^J;*U#9RQ3fi#i3%gxwhKxlkenagYcrEMY)bUpY>xx4aLVS}$KbMQHYqMQF+ z;fs0>a(DYUobA2Lu5xBgW>vo-U-&Bd@j8>a(IA*AT<%ZqSEY&QvGz;=nS2fmUnF}< zN<2y$n5%I}oJw;na!32BCWKeN;-m3qyStv4)+`!8oZxLOw`DlX6=tc)l6 z6DJGrSgXrF>aX+cwsM4KL3t(cENP|lQRJ0zEm3zn!yiDIRF!uK$`1dkay0s7(>=38b{=HJc zAEg?6fj=ROWqie}`VIB!VJE#9@0d@NPZZGnQTo;pTcxkU5G;NrpEe_&?f5GYf2?(q z=E@W=!sYbgH=GE*N2)xNdg9NLG$Y?=pTwugx6K~)O>#kf%JRYg#eYxjR?84!5~aH7 zIj7rJpOClQZ&#=^eAe|xROqiH;Xlfe%96}fEb&(X{6T0{9|97wr-^rx6y%YdV+oD zJ`vM$HvxJ4m(~CZ-&n+Aj#-T5?hTKlBdDQhEB-i;kBKbXeF&{6{}7}qg&4Z9woiuX zG_#o7+S6n+`>5$t<4R@%og!^Q*B93~9-;$GU;X_V9nM`|X=v%0WKWM?8bFD#p01}n za{5#rgTAf9q3>xUf3F=10H_$W#;PlZyf9IAUFS%JMYD9+lP1t)FMnt3DFCRzUkLz; zwwrcxJK)PTqN8X4HQ#%g&e8tZ(P&EDc`*XKFni&R4%XK^Nm{h%KOg7=xSA{tp#2K+ zE|r6q*mFL6duUgMf0WCM*|agi!Y1`$K*g`nHFwa0b8iVyWmx+B0PJXL0CjM;*C6w0 z0`CBdf&$2?yxk6^`SL^o-?~#lHcYQ>MtBT3*;Fd$qGBGs8 z9jL?BRN9UJplD!AfKk#QEohi>Sz{>SYXB%V_4j;WPm`2@LHd$6%Jdj>2z}WgOyZVT zz+*>~EnpDFhcnTZn&~yVCid|e0C$!&5}_TrAH7larv6bT9f5&$}kc2aSmuPW9j?g%XY$EGNsJv(or0l)= z)BFsy0-R|Ll>jJ?dtK5P4UmE{tSx?IuAjAaIDgc>Q^WdmUEz6}uJVKc8p3Y~Fy}cs z(CtTi88E5>AAHJnQ3t{s0NT_5O8-d*a;Yz|5ySP_Xm(_C&{x3s%d_bRPYu%grND7$ z4jz{12b-xsK*viX7S|M)Jougff#+#lr9DhdzCK5QT&^dFE|g{_uBawFfW{|FqcQ#U z7y&65e*?@Y`C}upnGSY{D^_18pgifO`5czeY~C_;zshwQm=j5WB^E?>S% zSJVrr38?Rp8au{I2TKDZ0Fncg&iVomngATW`@%(OgIo>Gnz|xA#)go1p`vJ$M0WKB zo^i*HK#``efIsQ{LdHo-{uNa(MA@aq-x@#(QEBva0%PJ&>C6)d1g(bw)RUIo*idbR z2N1N4fI-k_wN?c*3VmGKp#uP$%i;Hl@YD~$+QX#97wXagDm&G3c!O5Ib@iQ{i@tD2 ztV0nkTdx?56b%Kz7=E&cd6NkOInc|6Mi=Kp^4Y_t9HJ>t66%;bKn5;`%H6 zTVI_3goJ;`xi{ z03BN{r{8Xx-;QVdFd9JTNKRNQGPk|sob;iN<6|biqzyW*1AqQg(uWMlRcHVe-~Lko z?7eqNa}d{C|4j3f$^%L4co zUM+Q(lZ=3J@Et1ob-@?#Br9$GYl*%YQAPVfsJ}S$DgXSHJ_tB3=8J<&FH3 zz;?9W(7)=b$iESO>qqNDgYum=VvheO0HCY~-OkD{HsrGXS<={OP;gr= zPkZcI2_&x%E}NP*o8h_YoAuKz(nNfVfUa!>*d95q_~!b{+(qjw(x9)+dJiB;q%HF| zo6N7f<#)96#s44agO;{%#5+Qw~x4qs}a^e9r9`=2Vx>9F| z{`a~3J~nK=n`wQ$pERRFjJbDcA7Cqu3lLh30Y^`S<}M{!>s3Yo)x2Z<qcTS-|rt?@r;MP|^Fq=I^Mc>*;v5k7~kampS@$G1fUP-r>C`LLXQbvhT8BMmYm`r7@^wtwtFs zFW@d~JuKt<+4A1B+kGOY)1=eI9=FO%x#Qio@=Om21enXa4EbBjLA~Z|6t!U;D}BgH zfG6`9S!t$}paFy`Dea@sR$9N(R*FjqG?lh#Y$SXohZ=|BWqhomb#h$)+m^n<>3_WE zM*50_=3c^w?BpttHcMyr9VrB#?UnxJgho2vpQPN>Iie9S=8d|o&7ladaMYDL2C!9S zV51Ma!$mn{frn8Z%EU8q;7yS}?Pd2Q?@B-O(eA^TN;b%A9*+Yq7oJgPl>;rSo=RnM z*?O7EF80{TwHiZ^%P0lDHAU~sbxp3WK^>;o6LBenD@e?yd?vZ6|!%g zUNtE_mn_oGK1rVGxAG@I70#jSB$n#P<22j#OE|7@;C~c6y4``A5IoF`8*j@l&&JVtwgZY~2mv*;<-LL}^d!saCz`v3h@7{gUZU4{SnE*<6 z6?MKt5)w#QBLpFYB)H%pB7!1_0wOB7AhI|xC$+#FQ>UuVa?h<> z*D^2O>V`yRd?PPd^5XDAH0aMa1$|AgKEl(Z+DTVDQ<1;&3EFfI$dXG!v>2B5t$>3j4L{{^ppuWu%Nb0XY+pdwze z57oV}|v-lq)X6S{Bld8gR(DiXo)__^{{ z<--y2=JVyP<@=?Z1nNIucvb}rsPS4!z>8_TO%liGDITL=BSVfqT;WxRdE|-bo@L{D z>OJS>cs%}hE*;L3H#t0lp&R7k8IArydk@dlr{Xb?A{~S7XLSbMy#XkmPC4L`7(IzG zcDS+Uu$*f=T;4{X3WXmr08Klpu~vA}gUgc^h4D5?o4bW?mS^U8)WvuO@0tmZ?+lxt zt$xwJW#QVI*Pi&Gvn*rif1Ji8^9To>_maUyjL`7p8KazKc&2Gjmr(?BE;uueF)qcR zHgZUv#HSuWlWrYu-U@pUpve!+!wrlhS$8oQf1V7Jk`KgC4=-ed3-pQSm;Ubi7RJzh z^~u(o%Xq1m;Tz=L3Y|o!2p$(Y7(*v8Mt+3mt3JF;`yf6YD^_|wArB+lFVp-7UG&2T zi{eiX7tw3?0bSD{fxH;q_T_%!;l*Fp%U8%S;}U)Ah(i$8i5tpepbxb|tTD}IUoS6P z$O6MJJk)XELz^%N@Uc%`Y7e5&OdhztS)QigC7(>kqdGbO+8hX@|Be@$foI`e5Aos} z1JIw6;TdiA`NR{Fp7<2Tn38n%0Z)7JyJw$}2ft+j&#Sj@9(Mmw1{ZujeOWm9Bzbca zUwb;x-^WPzC#;;S&fefj4>{Xue1aM;gnfX=$Occ1T>ph$PI}E7Kj?PgbqS$rgsLjaF{K$uE zjO&mm;cYTXf05tXK0vsVVKy*cY9B>I@@K0tQIGAYm*UeJ2R ze|`7B-_)bekO{m;=K=Hu+UGn%YYm3w=*xN17d#x|0TfTAFO%_7>IDX8AAhF2&=c?g zy2>yz_2L1PdFi#R<}>8zLPF%j zlKJGeE@DXf46O;_^D=nzo1QXz;J20`-7iXi-}N5un=7RJG#(G2f3LOuzv_NM?y_Y>Z#`F}?vy>zIG`}g*GG2v=jpVkStkg+5$Z!q@$aLpHPSwr8feW$~u z{U2-N@7Kh0c;62Y`t;Zb*PKcH*UL*f_n+`DfifQZ+AHY4uc3{3g8jsQ)cCs<`yvc+ z8Go&O$Y5Q@^K0&X-y`GUUwGAf{eq3#NcmI{gobnPc|&`WqzrX_4sXm6YzKe5={Vlg zU#XX+hW>T_w`e(a}zRrh1u*6mP_&)GkyyB~Y1?#J+Az6}2|Jm|pV zA5tD!*$+NVdw%u--=n=1hM|Oa>-^`%ul{Fw{$C$&-#)qq&({gdbS?YJ7z*3KV&FF~ zUSB@@Q|XF7L5pEt$FI-Rz2x__m&bld>(2$8;kEn)51>OmU3h?rVz;wAK6(JvURL|B z;9XF-sRAD2IQ(O5gucWFGFpD_ci7XL*Il>$sb`5lMuFg))?bVVLA6i*JU_?$<@}!J zFNsId+`ld4Pw^?va|7;Q$90Q#B=W=xvBm(qR~Movx?*1S*#zfHqX5T#uIf+H4xT*2YjO-i z@w9o+bVUwnXH}eWZ4Y$fJ22$~IrCuN!|3BuZ7hPPhtwjdl=J(37oN&rOb>t7%a;a= z#?oufikP3L_@S3Iy!0e|p5i|=ah?a6UeURVUiLOI07Nf7Ys;^2zs+;4m*H=?wr+gv zZR8{T8ZMddBKP1M%TKvmEptA_y^?_XmA++tLrMyoyO9HXQ49$gtF>MtH;r!{`Nxnm z(|kO8=JW2<9Y(b-Twf{RNA$eZOZyD9!bQW>80$HbILs!W&QF7guyLY_&~E*?Cqqf( zi6_n&toC?f44d=Eq0-z1&)sGACwkFc_`vMzeM zS*bzhsA2!u%6iPSbpbvs53BJ*ChHA4#eKrqr#2qZ7slpF+{;@eRjkrDVtuZAkRCU@ z0w?S9vh!K!VohvpH1C}TQgsJeR9t$gBu5y7B&NGNLFy1vzGCf{iUczE8pJnMmFjuC zL6pU>IM`t|{O~w%6JuM9XH=dSKx_<1ypc2|cNzzk*J8_5a#cek7u`^sXGIT&!mX`= z4?(yCv|+ZGZev5q*9NhL+P~-_ni8evGR&5^9tTHzQQNk zCDgSq2mX;}%%UF|czzeJdLB{V>yQLy{wq$sA#mN3mw1ETQv|>EMDWYyTfU88b&Vk= zd}0g__`yrL9Rl+YwAWnJWE|$YUZcO^NAFh8J=NT_JAQ7iL}bjIgPw*a7)V@OTWM?KImOdGlZukn*kITfTk=7|OnJOU5>2&Dhu8@jDHW6kwQ*B`$F9>)*r z2Q5_4kKyEckgalao$@X^R3cVkE}tYNR9b6`q|^gehbdVFi6?z8(1`RCJc(ZkAbcJ4 zO8p(;jgPD1NnZ-Vqrd25*m|g7#Fq9}#go2OxEK8kp{rmBOuphrjR#OBubNbAVkOQ% z^CXG()PGNSj<&cLR85BKJ}e54j%3)$&txWk5HNg*J|@0jc=NMQnLS7k6nUGM@J4xN z_zihVS{CpQ_oI3+#={!|p1^+gH~wk%(Oo_<*yBQ9@XmyHMIQA3m>v{xNd2APaD&+e zI`ICVdazF(UK$A)Nd4r?E*ck%hU`brEyJ-z1JG7LAaY1b;_(3bc6s=Fp*;L0eJ98R z-c3A!rpu?0NrKJxx&+FMZYkhQJ>C}lCex_dLm!Gq^7 zHDhP;2#gO5#J)yz9Ac!Mr^y@GbUZxa+?v0r10Fnj{-F#XI4JJ}Mw#FARj1i_q_ko- zd$TkS5(b6$-HKlP~(x034sVy| z>zBM%9&{Vur%;&u;N%(dnnmCIeufv_a)7ckNN1uuX*3>9Wwq)e@?pU@w5AV!}VuhEKigK zP(DRQc%RVA2abq{^*n%%a$fEMbj%N4HJ}!kq_=)8%b)WA`qTfY+MRsNor+sd`-m^| z02+EC*YEn~8|Y<+;@jKtK=wPVKVyHcb?Wi6@0QWn88Wgad_?;NjB-o2B&XJYJRsk+ zd1huEd*$oiFGC-AGx7(6od;?z!cd-o@#o*Xqj@ZB{Ca@)c(-ic@7|~v*6@z_Nqw&Q zQVm8MG6>(3WDta>LIU1u|5WRINT7!t3cBJMYLpueIKWi^`KaJ3K&ZG&%}j z9xtzYrRA!xTs5_J9ArP?zCkaH{LY(Ve4UmkL0BDssAPo~ZC(_4 z-pk)p#aEQShxQC#C9jywJB)AdA5`OawWoiByf80%0Bz_Nz(~(CfB5s9TOL3^-Aa!6 zeN`KP-tBbrp*%(QxpiIq9n+V^pQyC}oxuR~f5-!2TARZE_>HIAyW=#SIQL;OvU!(Y zrszY;_i3zItkoaUTFbau7T7bsLf*5d;kLK9=Iq|Cuy#0ePW z|FVqq2+QOX{_O?cM|`-A_yC`OQbw@B4@?N&#CL-60J_`wd!xqR@3!&Be1fbw0~jBA z_Y|}i#hm}7`{i@AMl&D%tnR&76Q|(|&${~TyYF#B&r{?v{@$ed@E_z|`Mn?bw0TTA zFZX<{<|libZTl&7>L$Fe~%7Cj_a;ddHKd>b%0k&jf(_tQ3XYjXkl);ZtH z>#R)hXb$wzMu_b`IDHxVh{3~#GLIaBEAef>;9M9#Le9L#LwF2x`Y`lG_ohdxyjbsS zP$b$pm#9@ey{NGlqsnFLTS~42BZrhte6Nu4VZ%!Co;7g^KfcqoXK(B>b2cbE57N8R759tZP<9I40 za}RN<_*_kEw$HniFs$1RALG*Nis*&*L9h4F-gLnR1@dK1z@ToLPn`A{cT-N7HAdBe zFQ8G}#!TqGbu$ zrN`<+KMx_;)-42GFAIh5!nX>~s`T*Po=U|V%Z>&_r;ReTPQqh&JG9%_uv;8`L6oL{ zBGas0<^l82a@NkJ(w_fdxc(#8JWC~Mj??Z)SG@{!2?ul;MhAW38$lJOyg~yNnItUa zwNi~eikT^6U0+qLm31ej=cCK;&6ij&HqtPNi6o&1NUXlD*7`P?S5-!pm}@wC<9wd} zGM<3oTLnE2sF4^l@*K~FY0shX#{+7NGohf7Hz$vzx5{2`2fdW;qnqwXD*)XY^S-ZB z9D3IY44<02Mx7@7anRDtJd|8WSK=I0TFu|%Jf8VH<-pU2=;a8j zgn#t|Tx`G6gD3er#)Bw@65kIDt}7$l58rkZ*b%_bbT6c=irWL|sG=#pTMzf2&!ZeR zm`nnOlQ?s>^B_qVJXB&4V?!S``l!$=^%7Bv9>9Kk=e( z#JHT^ZRbz%?LU4^Jv74T5+j?0*T}f!^?#{Pf32J#wRF=10eAmGqly4G#Jx%q+mS`{HZKh~jf>0Q%d1@}b#%Weo z+bREKJ>Y+U9$I{fJnRs_^twO)S9w;2m+RrZ`|af&>b9r(py9vRaC3RRyMFm~X5S)D zbGro&ES~VfcMZjmFXQ|&362Noc;p?&RmR70GO)SM?3-_2_{$Kr_!D{c{kik4uRHs; zuc@-{mS>{p;?ZNx{+@hQdEkUut>f6MqD{_X~+2B6dOp*QJ?uYwp--dLU&3H1C!GV=VSJfL8Fb&ac^ z;5CE1zmhkWKhVSJM>iw3AA9kIGJYM6GO7I)H^0{Ge)2RGezUyb36Xe@3*!Xli5uxt zfOxO`IeGg*Kc%wvBEyY4pNT(RpYlz>aEDJnGT+4*0{j?I;;E7_Zvc9^J^}xEE?b{~ zU-S_CfN%U<8@Hwn#>~egGul5z#=W`Gp`Dlh-uq^M{SW=aJ0(i$c))$axuX}u0hjuN zVF$Q)_#9nJ{-4V8A|4pWpwAsX=xiIxF;BktUp_7GtYth8Z$75J!!tgS8C*q|yl}}# zaFlOh#5nl}?^6%F(*|okI*GB#)kJsjkp7duab5*1U*!SjvN&CfrCmOE@SAAO!^R+V7NIA7+~I8 zo&@{xfq@z~nedYSCSd3aA80H5#9M0&Kp)i`fTq$8kooed-+Rtb0wbtjK7VJASyK<7 zsf?Ftyx0+uED_ zsf_%eF7H?1=S2g5-n13=0jI9N|K4W|c<}!C$MO`4K`8SXy!>_P4s#hi{f_4S_JexK z;aSpKWXa(S;~v^(hoXBKI?b@g`AY%3C05`a^Xc7ON(?|ToSuf{CmlJm_AzhfMJw{?_s`2)8pdsXz!3kT&8zNDi^krA@-n_Z z_S~~<=<-3W*Uxx~=3F6LR&KZS(2#P(k0cME7!&@e#!1#0)@WWt;r`<~*F0fZ$DsdJ z8r#>`o`IJm(7VU}%qS=3)+cKXxti8R0_Fdo=3dq@48B<}v#%iko$}=S3wkMT8qSoF z-GA2JWEyzE?Rl@bSo(yg-jiqFgIBp$2#<0Y*j-iaTvPK?Sfmy^##J(f#Xay^p8etUqsPo@p6}k9^=+o<}Ih%Ny`*)p}2vy@dPl5?u^H zUv%MKP|Ved2hh31B@z0GA@r(%9N3@O5JJ-;Ybbl4$36IL?`!bL{;Ry)CnPdV|;lh?I45CXq~gM07$!F@5I0U9)ID+>hBypX5GImArs!5Af<;_5h&;599aMejqOtkp7ptFZoTaKhyBlT8r*3ukG-f zfalZS(hIBqJX!xMcmKcl?sV-L>*$*3!eFN!#FsuqF7WEn4?4>_@eg{T#p4TswXom; zG#OJEgh_Al(F3Sn6wr%~Ls(J%sLOBtU{0PhHd4Cx`GV|cSnFAr^I1f6h5T*646xu! z{BT29bE3`;cvua8LJtpmbsRCfOlK$d_%)p%4naJ8&%%@VrqFU%->xbH9d-?=&)M81 zI%>I8PvtQtpq;}jpAaBgmhhJ~fxevB42{AU(=B=BKAAOPS^c5o2;KOn?QIrkkIlVu z=tw;LoyMV`2mYMHp=!KPO#PG>RrP|W#vaoTu75sDnL^8JF+crFy~H<#_P8m%7!6pVc%+wsdf8`re!@J>ey9!H@b@r4JVIi? z>N!;U;X{$04v8FkWBdc3m+>Y1PJa`(7ded?UWE2}i}(>f10AeaCEwH|hFl#KfzCm` zk>e8RaVKKoY@yY-)pMMT*U(3w7^l&jq^|=9Pn?>|2CsO%oICy@V)|)XL=$6AUEvA} z2N;7ehF{Um98>-7%Yo1GKz|U*1kXBgp37c^aV7l2y%KYR8iwVU!I#EB_Vx@tbQ;L> z+<`y{Rq%`ExS?U?A5zd4&toE<86fSh z19{!l<3M@}U#1?E;RpIsa^eO4;zOOysx>;TVA+Zm`cJ#)zeD3M`Z>qHX?&oY+Cs#0 z)&|jk0y;vHrO&lcnr4x7Jam!S;pvU$U03<`P${M$o&%J3`;9 zt4rg!uJNr-4fVxodIGpHi>EO3zW=rb|aJ@~ERWF=;g zPCWTLK^v)~kCtoUzl!FWtEjQQp7Be*z~Dy?wBMJTi<95FHAb9R=yNcPu`-D~+S{)8m~)#v2fQfe$VCifrONgdOM!jrg@fln)Fv$@eh@Hi_z+sgBwwu0rqK=odB6PiWjs?U ztA90Dd%^tHJDfJV^Os#`D9Gol@QR2BQ8vz~5O^79wOJgB&i1po>_;XZAA*OzKKNVo`O0SSij1Eqk5(8rtQ#o0{wWKJ{5^~ zzQG%=3bPT;0X_$aXI%f}*~4V40gs@aaZ(3EGCI`f>v*vE9Cc8v@<$ZJsVHiZ>X%f#v7*Y|QDz7rV5#!Szep5g6-HBJsKeW>u zfAn-?h(kMrKJ=O0H3p7%yWMGnp=6geT%yx>8v0FnnPHq0=o@;{D8+b6y)HBxemSOhK^5`&l}E8vCNi! z0)Da7dMS+Md*XRh#y7OTDnO&Xlj=d{GSAGZ#~Atn8K+@nwJhL)m(QTTV=(@ZW&rwp zja}A!LUhKF?kC20Jp6y&D`jAzd3Mx$#z5T|;hp>Q&pc&zQyEaPzhR7H2#p6l_{+n6 zJ{eEIt0Ug`*iY!c!vi&s-BN2Y0pq)8zw{y>DpK#!-*uD0@amm1Z1{bB8uiO1Q~vBB zmpMrFXvc?H%$j9FRx@jwlKdweO^ zs6PKf4)IzDer@FIjxgx7Fw6`#w<}G&Zz(<$LXo(|i?w z#a8o}A9zeXcu)RQzPG&pepK@V2Atenb2!9q14zgowR8dF?5oVaMf(7Z=7xiEmHP>; z5g+;ZC6>{%eyHY@x5%U7t2FP>runW5WH`o;lLyav51_u0r(ps_sshGf_mu~(Worp| zFZ$j=bQz1`2{dyT zEbjwr>2GOIalv~(?H8E9%N+AK_OBLXA?BqAJ`?}N?ALn)-8JK%HSzpE`WGKuQ;x$> zL;V1mqwXee-tja?b>>pMKBv7eyvfyO_qfyb2ct8}BtX&y@BO5V(LXr*=*K=Y`$2go zys->RFO+`#yynL+BAje(BIa2xC#&Hp)UtxxBX&y!B&03|IkZW{$zGnF69Hy z`@XZiE>NEPkDt-L34{LR#{(!YtzgWl4E-U+)ew)-gz^B2C(V)0;0^rJFFbX2f9)T^ z#wV*6(1M7N<|?)j=Y=%pDSrZ92ARP>6pS7Vkq_*;_!o)Z@6_5C@1JHRA;k!51<#8{2~{%P}-{Dr*n%!0F zz)mz#gHM{D|HmKFc;SVNzJI|Rc=_x<=)B`jntyw*q3p$f{dNB``cw zY0EG$1{|Z#u!ptBIq{ZxsPFSZ(X$P_kwLDy=8rAy&3cGRx>0A4CWZ^u*G4Bl0c`sOow zA_8qRrOp^%BgS+${N{yzE`cvZ6o!1q7UM11>x1=C`b1l1S|bbtwPCN*@TT5w5LEQT zdhY&^(giVsX5a?_S-Auk8-<2ol&oqCx020w#t&mhaas)jcWOdxuX%+rir!3Ug2&9= z`84`~3sN9|1tiNnL9XIAMzPcK9{0?%jKK|gZXNX8BEHj!2~YeC6uQNaWw=8&H3@y( z27%&-j%+1U#u2?41H3g)Ot3DH9!mrg}5&15Ja!@5WB; z9B5wn&>Ddzt4>Q_H=c5a!WFcK1BPEwi^Lg+rpFzWen2PsK!Ly%CdnC7*rc2Cb5N0O zbT~B7KKS(0z!Es>5xjS~)F+;_2GMn6ERd2%4umfHosjr`U~momOv2_cWTfV*c+w9S zv(tpuEw2Y<36HcV8Js5?&%> z7Ch(O=4PkPzEd9eGP#on4HzGQ^TqJ-bf8{lW-%9};V@6NZn_Us$J@-%N-X zyEI*QG~18Yrgn``T3e{LR%`E)*jg(_RjJkDYt^QLh`mRss@96pqSPv_z4zW*?GY3a zD~aIM-#PC&`6qwnoKKQ_?{lAVtx?bM+O~fQ(ta2DzAQo@eI(^3o&oPIDBmWvd3M`) ziszJZSz4_O>Z%H?qw1(2RTTi;9F)kpn$nYpp8<#K@PDa?Yt!A9miYWGrw*<{-={b5BMZCr!^JLKD2M%?2$wo}SC;xu7B-O^U8DLfPM^{BO#7tslrZE2I zPf&F@%Cr^wQzo$bv}-%;?#&n34(|njY~R>JtF|nQ9)=aHM20wd&MF zHbm$ttQffiPJL|pY*}*Ytxlal;DR9Vk8M+^bM`o@Y6!uzEUOR%%QZXxfD@N1T78i*h z4|Aze6ojwkx5Fs(OTS!OAdNJI8;g#}X2ZF4@Ju!S>^$ zdUP78g)a!+%Oh{Ns+xxyW#nEjQH&&w?K}G8{x18BbT-D>n@&rFGs4Nm5y?dYx!kO` zQ3A2M?=Y|BJ~$pwZ_K62MZLe$jqJI849UGV32<&4OKCBJE{63hv3KC?eJ_Y_Je^h* zz}B4I>w`Do3ZsUG%`PIQ^_G@tm?SMC2t9XJT$@3mA7536um-dfytP@4mXv-D)k3uz zuC)~QAJDiRWu95;&kJ;tp!Dpd`>KeGEDPqI zh`KD95iZ!8prj*|sKrAW8$G_i7)Fv&UBzIKmdG3H$;id*oHUw_L&+$L=Z(h)_j1lB z>d&uhAm-w#JvcRmbwrx&LHPxL`^ZjLeB3XYerS68cMAPo(XD2^?jY#i5T>0?7km_3 z_ZTgQe!BN?>ZASTw%1a5GSAxo0Q!H(y6wq@lx`m47C+MKs4amz+~1eeVr<|S})Roq8Y1JG3AC2+0S z_sPEUa1s}+Y?|&QR*|ba_Hd?&T4cnc_;OSqMEN>^?>k`dmsOr34LM#eKbNKY5|~9x zm&Z|ENR7VcqMgOj8oc_yx>XQo1B?r{|Bp=van~VHD@`Hl)T~EiP6m||GYewvY zf;iqDRwuO4LO^8`$HBd6kIR`xIYpg6%S&3&21=OVXfNgVckQKmo@ z6TTiYg^Vr8z(`LWADSdOcGY{G#Gu9*m&tV+GWCN+j+6raeo%Ndfr?U}O;UTsgYWc-JP?b@iLzMqch?}o$fmlYss^%($oXW_8L6W7Th>y&N+L; z5(6b1Bwvj-0a4o`sF-JV%Qhdn!?Pg)7_lfxw>QC#H5Dl37(Lr0b>n2DyUh~bK+E_*4v5udp*Lp{-um$_kgj=@; z%^E5oqAZZ_F(QnrJ{NiMU%9D9IVN<}P)fbU(c~@0NBN@HGyANvSE>vzOh zSP?!JRQ>V;@+IT;a40^h)#^+u#zc-%`_s=a%!BMYI{c8^?ZRf^{$O)#7vo8#u}mOpq*yi^k7jYo_di+`bm-LA zQPN`rqUZONnz6I#CRa>Bo6$3QBSF)Q-d&{BeDs6g!lXOzx#C3)5AMeub&H7FUd40y zXHwdu0SXM@6>7OHU%b6%H|D{y&Zi?w|IoyVD1&PipbbT)T$Lt5$Qzp}3OpwOS|aXT zlItBAdq{0D|3(POufG^0?*iGfr{($rkdrMy3Gybo1TIAqiShE$%tc zWZ6N(JfV*1@szda4?EaLhoU53d>@T5`wX9WLWrHr6q^p$g1+;QXg`k2@hNZ)^Bn7G zU+^}oouVxzZgmpfpy-A!9~aH596E~N$TSIwB{V4R+_ip__SWtVfGBh6lD^o{1Jc#r zu=-t0p=ly;6GyT>`Q!9__WaWL=qrSK%Avt}NYJM7TaEa4d6TH!C%M*Z zH(nuOCZ>R3spcfv+myEPqCKq|YaLkLykNZv!KC2f6#diU#yRbu<4@@NciecgPoAje zdIb+_Y>h)xGW=JrcsR#@xaDA06!nuQ2rWFfiYM7xUNA&@^iaow@HPN)-6!m?(Dp%gxLw=e2px=GVv-+(|@(L&x|wYE08w zy-_D;fv=^~byOO!YMrv{@1y; zCE04jrQd~qmyX1m>?jWeX1q}!zqNCm5`=57qp<1==)Bx`q7G1{RDfPP`eAmPgbU08 zyyagRdPXI=l#q`_(xI<(>Wt~H+BCWPuRe0o{FmBxv8H(Hw?k?hLA+dYjkVeWeM^U_ zO0{b|mEqm))%>%n=Sf0_@Uf<^cUR#WV99ta z_r}fj-)K*E*#EvK2LNG#jw5tZHLU$G!wmeO$j516pYt{>S#@5EqZjIq^l=ELb6+25 zqaycM=eyS8!~3tc z!w+2+>h)I_c*Y7+{95aQief*ZZ~|>l%y1YgT4s|6=JY2tKe|IV?zhrTXk&S!S65>x zSl7gr$C#a?NbJVoROiJDf%nd3542r0TCFoKU|OHRRe9IT>E7AuW7TJv5}g-h+2_yL zEHU%vLudupy3wGqC=WF6)x?(o^}3gejf~9%AB=Uu+2Eo@PCY1~K*8dGX*ggtq6#r! zv+Igo;d`uFIAvq;BD3QQ(&6SnC92B{NkS6|ia^oAe#&ZFM2f96ISL^I_)vbCG_~mJ zXmjAX1oLE@-nwu9K1C!V*=DV0#p&{POTI|VA(a;5hwgZs-RU>E@oYA$4c;^qPg0mW z-Q1Y=$*BJ3C?t(HHGWp+2jqwmSu8cvDjmMB?>ee619Vq35{d~Kdt`i*R3!Q|cRNO`zjPzfNmY>| zJi&~Ig(4UG=NIac1_KwOdHI;_!(z%H{)j1 zTe4WI&? zZ!f+EA9pbiNu7UvRAb^qnA`hnelXZwml=j8i}fJr-WFg}h?A?DJ8bg%Rr$^;yQvk8 z*1A3TYkQ|TsVoqlD;MdK2jmdn(Q7wKAM|^(*3wiEg!48;)2oYdfpr5Apd8g8-_`4k z%cYDfV-exQACSPNE4+};nP=L9rSJO$BX6TovNLP&k@g{%Ay*)a&we7t+g~P-Ga4Og z6;$4oR<-Ca^5mx<%efC`DKMakGU45|fz@McK$m!oZAddwTWqVg_(~kbD10doe>3n1 zo-%^RdAz{qG1BoE*}QWbbQtXDOJzr6{SZBf!hVf{c%u6SXhL>#cd71(Y}1)oas7(b z&1GRreO{JHRJ{B+q%x@5;=HN;-0u3tHN}VfX%8O!Beou=Krq245ni02^Mnw!1WRtO z5Zi}Yn;5L!otes9;J*1=WAObbZ{ee`U`G-hHr}Ay?c|Nt(@pa7 z0L!rN9=4==i4MP4Ki_XI&q%t*ircC-D73f3?FJZ>HpnG-33a}*|J-SF%r|sXEUla}%FP0`*|GS`>79Pp zas5ekcGKW`OrqX-^xlEQ(+~HAbH~Wf*jlQq4D>zNe~2}As-bpd_(}elrHHb`-yeM% zAU733Tlr!~b_mgPO30@-mM=J6XRa3+LnaKc{n3Z~3eQ^WU9>OxyO30O$1uC;_12d7 zWY*p%)Dg|QlMV0j7AhQX=Ac$FOPlk=l# z>$@+>)%(g@#+$_S9{H7W=nBkw@e-_;7&s$nUfB($6!5KB$&6B9jWsH|_L|EQo_EEe z&g*Me2ZGZA@9XS@;rZTYj3|giE+4}T-xQCokcKkXQ>4duhquY0X}v@SEhK`Sa$YA} zmMasxcIzpw-}~eJHh~`J(ZZUQ{Zis4nk!%nC&l~j8E3t%qS39|H_1IhSW`&WhjI0q zZJ#l{KjLRU_E18yi*$b{$^6N=u;%N}E5CDm&u>S!$&M*^1^gy;D-uKGnqoTu(50v~ z^`l^)-k^4BixL$yhQ4bCf7En!YbXzpIXdSamWB;pj@Q?wok!ihb7~?Rf+mqe*_SEE zi?31GuNDHC8t;V5!HZhhyH}b2z7K8+G>=i9(fSczxVRden*bk$x0@Z&XKKY9GDN1K zoFc;}P8gpV+0;4B;&lbDU;p>*^jpbad`rA5*(Fi3iv?mGA^9OnNx_l!zw1@JYTI3A zZtZRU4_Nq0Yyq9RXRqGty>266_hAwT4}Nyu*cVCt(N^C*H-`Yg-&FZAXy(Qn6A$3omUPs5qtlJ<3s8$gV%9{j;=(N2J_-^;Xo0(S&1#VtKSJjQSn2d3Z~zn%NZ)YmKY zXDKukG=6_W|15w-bh@Ajb*&jFcofvQ*%8JO;P>Q4&;@dPb-p=XuDg1YU?u$og3GSj z7f2nUX~wyM6m|Kol;)|Ns7c&E5$h|8}W3wkxbVsxo9s=sZvA%v%mpWZy?5S0r(qgKxuK|id z5T0wHmaQ`7_+^IVT0^1;xL}i;t28nD)yz&Zha<15$_h^2Jq_yIX17cb*pfX-Aabjf z6I2ZQ)K$?>-lBfr-rVaz1WI47r% z{B>eTdn;E`7~X8&{TXJKfo2O7#ERHDfY}1Yfr-S3c1Y?f3BEJzys%~CPd6Fp37Tej1=>OFkLRym^ysA~cYeVPN6oD7^%jMVR3g9Pu8UoOp)|TrTKB}p z%p|gLLd>+!1D}r8{Mc_EgqMvWlYRQTr1h~%5_HGfbZwVSUlv_}2A zR*<1waW1;etI_@0kF9G2_(!AqWz3mc`B#Lb8X3WSKQUvNb`&7@ABAZ)j%%Dh?sj6K(t;o?O>FBAM{d(u{4ebT6E zqT_>)qK^PUADq?`eU@CH4;jc%tX5K*oWPVu%2^s-?C})7_lZUcASQ85@ z=kd(F%5UC#R5h`ANeJ3&Ua|A96ZUUmgiQzGU@|xUIfZlbWpNfj4m?KLlKPwt{^C56 zCH!*C3I;t3fZc+pxl=UJ;7k2knIMrZ*Y?2Q=dBjSk8KaTNcbaLVE^I&!#ujKX0||y z80aumx#F{PfRYxuXtC!p=jhj`_jgVDYH4i7>|4~FOK+d!Vs5y_C6;87J**PS~le1sz0Q)T6?OD0G3w$ZDQ4&g!m0_y;WNA z`@YH-w5j%m>X<(wvnerKd8Yy|D4O|nM?I{qWHb^+X_fCAQw~T*9GLKwq)e~?k5zs9 zjWdtoekbGETGxSkrqNp2@^{Xfs+#^()^XBnE;(X*qZe9rE_>seElC$w^B@y#?)O5K zQHhti4fyS*z!af#Dw384LdX-<=KdY4-KRligtyH(}+(9SdzA% zkPxmG_;A#KfzBwC**|dU3Et(g4W6CkPjb2{hOi}0r*5r}`a_i7Vu9;CzwN>idgZVb zcDM*+I@H8N#SW`56>?=_dCM9;E^kq&@BLAavbI@qKk8^>n5-PEzJ5L+7n$Md*Bc4A zw=07y&ES$lzm*z!Qb5oFJsyDO#(Wit*a~Xuh1YG;1HxPysf?^fJSY9hgL3k_-4bqY z#lm^AkG?8PB_8${HY%d2s807;({W#qcs5tPBMczqfsvLwn!}P}#kOv1e&1H9nz`or z_54xq{aPn?QhUJm^}PVwrz<;q2E!VV_SZ|MT>{URazP@q6SsywyP`BLIe~cmG2xzP z74__}lGI@+1*9~vNg!)NR^kzcC7x^>RRAEpqltURCG){gp%(%j7=1b01(T!+w4i9g zg>WpuQ1`@_snoNE;%eHppN>JW5$<=8D*n5ETE!lDXaF?B+#fLBD>Py(G5oS^iVM_p zbzhz)>`{ail?_i;1(jV_> zVGTJ}YaZA&qLuMIb7JeG{mZ*i%aLWJK009$r;lN01mk#VOB9R3U@RXxY92_b*ARf7xhbS8YK`I~R;s;80{mGd-lQn@Kphl@^y|Q?OYl?Fr=i3A5P@&e?c1J< zx!v`c3Q0_u-r8Wm4g}zAxp~(gyNKm(c3-v}FY$kdc+_fyjXf=}Iu^u@Nm&0mX9l*F zJlM-vFxskyDR5T_kJG`(^S28hVhc~1*HqSgc)UYC9%Y|!t_jo-?S!LgcVetqt$WII zuM>~~iBWECDOd)|e5+3_s0CTBro9ufi%(pkNZF7;(fz>=LolXflI5KLzhyw6(mL_- z8kEHCjrB+4r(Pao+EnGfe=~B_=<)hwp&@X?#7mjYHd)zWcUN{9t@82L!SrKz`+CM3 zKStmR8Dx#UbsfG^xTHK}v#Qk@Qsh;ii4~6)_OrhI6Q}=Gny3B|+ve(4C?&gwG$q%o zJ{?sG8nNEas@`Na*B=mBOOqulEI}A)YI)bc+3?X(lM;>b94g4%Qnv^h><}&CJE;*n z8+VMK9_eyt%U|uUr=|C>SXMsg!j+Th ztVhc=NtfIG=w(Mdjqo`EA`<>JK3{yeS!2jS__;&>`c?#q{<5eR_d7jU^nK3%s$3Ok zza(fH`JSr@*<_0uGzxOHv3J)2?!6zYlB_o&8I4a_c~0QAo>$sffjr9$P{h((CXLLA z%X~$*UlhNnzok52MUkn{`X+vIR)2ZQ55EXV?tSw3SY@Y?BEJHK z7gV!nMad5XCL%k#>jkCGu2$tb4g=5d`SG5Uf+wq8JCjZ@b17V&i96qhM|vmd zE!S_G>@dvCOscL?1T7@|GWF6aT1iz)EH5mDm^M>IaDg(+mE!7SQmot3j*XJ5)>| zb2j6eC@Dw`y~)?{6?rN`HMhdZr!<4nrWi=;0MTSb1EHxC=#5|>c7^Mema;5%^LOGG z#UwraNlaDEse~W3!+0B_psKQykVbj{?eECnoIpy;ke~&e5$qyPqAa`(A8iYB|6YsC zCn^o%P#6Z&vu&DCd~IL3%qX60O3Hoc@^CY@Qn%?5T8Pwqm$;hAzvPm-MKL%6d}B@P zy|MD$!A%C6{Xyy;^KF&~Caj;bZk7yzxWl9^=Z#eHd#G1;TI!llf|u4#kM2l|JpH(R zyd)#L|DgQ%`W+y@Vcjb75I-YlfE)rXWtZ$NSwZKqXkv>EVSi3$1p^t`v?6!RlX7A3 z=F3fFKC>t!xo|pe>HH8g>KAhq4j#lzY7_KTv9ZLDkP+phSi$v))$I}H;b=g1AY`tv%JtFU)eKNzhm$HZ4O4-+ZWesd{T8>XM zZCrgTJGk`YAjH{X`>Gre4?$0MOx6Q!VP4s1a6gi6q6a)x!;;x2F74HoRc8g0t08~$ zWe3<2gf*7hP1rr&kh({AYh!_~|3lCx7%{M9kUQOg&n%;|?2``>%LJf{D)ZR}035BGW-SJE^?Qm$+*d*hHLcqa2G>ay{=WUgWP zT~PS167V_8z@+g;(#g#x_mHB1_O}Ko&4w!(e!Bk1Zmp|=#;_YFi;H4Z5s}~U)0gjT z+K`-;)wJOaps;X#7=Eq%30qI!Ty+@o{sh^q(?h+UGu<7U8RcU0*g8DWc#GjE@e&1N zS%}wcfi+zS&0Y$C-ES24{oKBu_%F?8>&}i7WMJ9SXg;1N`P`7z^ul zF5pWON$p+*S?UVvVEfNY8AS?E0qVNJ*JU?4i#V}i{}NA(i3)q}8-aKG9q(g9A1QpV ze5OSvO9af}wJ%1+oexbi+3@Su$?@zA%s5)Ru+ zrn~DwsTjjv5TcfpMn$@NA4f9TWiBuNI2(%#nQqVx?fK%(Me-UYeL$={#DH$^ZV?NG!uG^+;8e*y-nKQS1C&FB+$k$>O!2n?5)>%&ce9l`}c1FJS=Rva%{)zJ~tffK5na( zjKM2D{0EcyWw(i6ynET>i4LGSh`7l-<^?i>4SAe_)Z9$lL#eT8Oa9!b4@0@rGxes1 zJG#rm<0wK$m502-aN-Bi7EP+hhWGQ_B` zrZHa67d_m@2XvCUT==LPaKq?VXSsZeVuqtRLOl)6=r70+R=CcNQExsszcEk7-W*Ek;y z;;x193z}~8JlI(|l4U?(wtO0^MH7;OwEcoF5*t1->#N%z&V+4HFI{|}i@M(bFee33 zguhqy+iv{cs5+*3OT=Gc?;CT2E{b~&Ul`_!;>ih;lict(bysW>SRrX|&ZdKl;)%~! z=};^`^GtmHtmzdsd$Ho4aNPOMxYK-|zMHZhIvvGhx!I~-6Hrv7I?jk}x4%YjXK1ho z_oqz3NdVuoufk-e2>zK0U#;XXj;xy9TlfK{muL~%f4L+se;*+~E&w=A3^-X&4Cckn zg#y0`|BlQ}Y3stSu|@02FWnKcv@`ov8rsYA>_*ep4E!vO5`s!oAp%BG#3ys&!OcG- z(csIQJ}oMHejhp6^s}Rv2lnjWTfhqtk7R=GY5{Hn6D2oH7@SN`g7(gPHLmXOH6#cJ zx~huN=TMKOKy2QAZLM#+B$)f^)Cpyf< zR;pL~oVLDF=_72u{D8Asbstk&q4`YVTsv3fNcqsG4erl=G`_vUNWxOf34awzA&8G3lwkMmK9kiEoNz{6) zpY!=nvdJ*3deP=xxs|?n35vaP>+$p39pyJ3_I7+V!O@A1r;Q;mcBgIzf3yQ_XNV)dr<%7LmNfc6yiM zJSH<@j)iIjvf9nh7eK>wA7nSo_4rgfyR`AgNBy~Uo8Z&Dxt!w_lgrG31Pry$lqK&p zrVHJNNjiG4?a9$_G)Qcg%WmoZ#$Qd=@g%J-6|?hn(?JHObdqvOiew)-2CnB`cZY4O zS`=}4A!vo})-a@)g~Pw4FHTbLbLgKS#ew77!rgeUzE~*mE9ldz=`RDjVyi*MIJ{h! z;Yi9KvN5+y1JX}*VVsv`bG;$H(oFfZcH99!XH5zZ-!+$pk}z2&1uOg!KW5)28mH3Q z7T<11(WoDrj3`>@qqJPPsyLnS!~W&d}T^m(1aaX-6zO=RT$bjCwey%(yI7)>O0avV4c5>7(cZ%E-#+KT|vA zJPe%}ahq~D0OSO+4N^?m0V%X>U9)z_qTG!&&T?3{XV&@@mPSn#==5x>AG09g8jTSt z(gmK>K?xJppDalanM_uHcr?ylSB`M?wA-&6@Py4!J{FH6lgchRT)Ce}jDAr8r5NO! zN`MsI7Pk*8JdG{JYqM_&keT0>jZC*MF6YWX8wT~pi>XutIunW?ma#+XN>zEjmU9&b zgzs3Pf5h@#-X`Ns@)o?Ia#vIgTD>0L9_#S-i zP@b8Xlp^Pm=jOi~2YuB{V$%E~2FXdC_ksO<<*~+cx5K>nC)u8<21IlhBPXryfVYSx zb?R=lKMuEa$Y{?WYy!P9_y(P$IlG5yEKk~4 z>J5*xbYm||Z+u5&VNZrMqE9GumNPO);CW`)ZC3|!Id1B2Re=AF`*m58*b$Rf6a@)F z88BI;KAy+NY#w`+ECv*xP?CeRQDu!u8CrBt+9h1!UzS;q(YGaiWAJ&9^s= zZkcKRSc4sbj?7r{kM3zxaTy&yyGwOH2%k;zxSRS?rxo6NfVK2CfDnCVoW+vXu>S-WX3NOPuWkTp#O`~s4Ebe#QuZn>^d_6t9T?pv1 zKi276wOD%)@3>!I-aH|td&-&l$%6NK4m`;k+^kHVquA_tDYa%*0*Ql9aDsY1W?pv# zcDA;?9<#$&2#w1e+V$J8Unz8w+MF(lxvPU^=i%){2LX1Ld?iKc}OF}P; zqQ%<49qC{}{k8n&$5+u|h*d7XhnkZNGJ_|`+KeBwlc;T)bPa6_2eEt1 z+Ysn5W?`27g-b*WwH#}0jJ2=f{hVZ@7*-UGO#0%-Y(nV80CPU)=fF0Z$PWu+_s%<% zO2L2m{H#YV;SrT!)cp%-uAftIV?Wf$%L}ll>-?3Z{ZrgPrKN!(18=|~3x|iu6vZ+` zI}#Kydik-2wv^~$va8D4LU5bhRQ6ZkP6arlHK_ndA`P|vfx7yyFd*;pOw5xq```HC z#ff{>Gq1>Vjv^813}bQpyA4vT<`DjTrK^Zkfo!SSD(>5C(BGhYa+=}qu!5tH8SN~Z zrU*W-TY<5Q@3_gvc_k~P240csZOim(2zS(f+Y9e~!v?`iznOpa2skqGqahC|ktzTA z8Lf2&Qc5o1k1?>@@??{44dk zZuBV?=iK3d__v{3;+tf>jK#Wd+1(|?>z}aISpSKVIyqQ)CgBtHpRw8-Qi)2r2#KKkw()?>n^NDyZii;cY|sHRp5#E7b8@TrpKCiv1?$O|Ftp4I22q zthz0~xY!VoPFwdL*s8wtS?~K)u0vQ0$|r$6^%314A;J02NV)J9`q9*HW#`86467Cq zg(YhPyVp*Q^xe?^5>}2;qlz<4olkpf!}!oO-M{WzfKDX}E~@YXE`b~h=mmSM%E8Ss zF#2?Uu6T{au01YD5NBp{A)_m5Yxyld7t@fFCgGJ`PAu1?f@!sXvw3LBQLDo0Rh-Nh zaA{42w&TOCbmrXKa}?K&^eP_gEvUN$SMSic;2(dU;)|(!$g~kzMr5bdBDzK$cNJZV z;`y8?ugT5YG;N>v)`tH!kNVAY=n+CLpLU*lqLGjG8z#9)S(1A)#NeJ(EBwMB>LY~E zPt;L3J%f6Ktr5&V`KDhRdgk65?IJk*XYG59NNoaLRIotX^OpM^Xpul27+AFS{Yv4D zQta5gz%xc7ie_fTU~!Lf=gHDYkapiB_t@lL!)-@+I9UmLh~%=uXiAs+J{SLEo= z6#A9%n}`S(cG3Hk&Ho_hT?`QuB2hnaThHywSgUKnH_b*<8e1dfd*1uH#&i}&!UE`Da^_7#Fw|o@r8b7K|m;RX= z7Pho?<#N0`ePc}l2jD<~WhX9&*v{W$hpa%EiZki^aCiD1-G}ulQMBk8yZ^)U zN<3H@+B4zrBr0^rqa=7XRaNgd3&epXB+c@RJWFog7iXSchmvXe2pf?Up!gSxUiIwo zUNN_@pLB0eo`YoYOyt0CUh5FWwUtod>K>D)dk3_S1b`*i>JLGJ+KomGBN_6+Uq{Zwxt1_zh#?R*d4%RP=k{W9mmWa2v}M17Io$$6!ID;t zi7a+D8`8WC2gIbTIH%tFnZ|-KuY#{A+ZxSu#>t2}^zM~6;3u?EM3DcLGb%W`^tLZ9 zc5nW;b3p{Fc0RXc{LL3~9V$@{db%B7Qnzw=J=b#ZT(6kOEMEd5`JKWM-Ns=wo*kuT!dEAXk@3K<{MgD^V*EvVdAbGjkjy4JE134BdaHM?gd z*B6xYfD=is*galjP*mQbrYgH;C~TS)qDdl>HZE(2t{#oV{U96Mp^Bjxl3sVs|3z`t znWk4efHCg7c*D?TuTx1}k*ur!WO?| z=VX|A@2MRrHyH<&bSxfv9v)P2tZwSj`I#jO);(_&gBBs7eTDN9`MTF`mAJge&junqgoe!Ln(y0-GrBaw5nrKk4kLAC2Wdlj|uho808Xc^;C2RrQ& zw$qEyodX=Oxtux-yvevseZq|0V68p_E0XyTa4MSJ5_&5{JQ#r|Eg}}t*v5y~MUcoYwjv1OHRL4y*}zHcHp%=?1`pSt=QN{6A6`mwRmIU*==XUjldY2!BUU6w zNE48?!nIsNo=uPSDLV&9_D=%SKk328nO6zWS>I;*!AjMv@avPQ9coc38#wmWW-9W^ zm%v#!wuy-OGi8ts7A>pf`NNtcyv5S|)x1`0b6GOm(}bJl?3=b~J@ottIB_80IXTsnMf&{mXmb%L()%(|fzbef`j|NDZrz>@ocCCE-Db zpOO{jA%HOXv{vC>B0XIW&ErV}8mp+^T3q41_uX=}(#;ZlmYIFj1 zg4y0VGV1k2p0eqEL>x4h`)N&77~SV7;L|&aeSDd-9POIeH0$QwLOPjU_jsOIbN-&$ zf$oLvJMZ*T^_m1|hQIQ`zeS)KIJX~h0|q-6S>EEdGT5Wxp$+5W+VXed&vCU3k#3+0 zWePuiZjc9&yR7O7Nb;s>BuTTRZK*$Xe-n1MX*IWRbxRZLPEQ}m5)Yc=7tHnMjuMKi zrel@Uce z;YZeGg$??*^6sh;ZOWQs+8n^ZUuVRh$htFnRjx-nRwv+-xnEv_h8PO3`B22H*&x44 z61?ymg%a_1;mj|1Z6Uq6^tp7|1L7=Kkj>PSgq-h!^`EAMcDo5={yI(apRa&%+Wih>hU(~Nfg4ti%A19Y z!??C_G^tfs5giYdx18bSRV8$zvKR4T{PRuWweP>~EEL6jfdF5Z5IUJxXRqEar9S<( zA%@|;X=K)l-IwlfeS4c-&`iaY0UZNXUyM$BBNUwv0_L2#8n*vr)leAR$50-027HdX z_*>~R`pEALCpLY2nQ*`=ZdoAe@<8!Oh?j##vs1f_ah3!RZ~jwmC-Rw)eYm>*+j^d| zxf5__9C&<7#BU!iwU2|3+q2Ez0?4@ZDT-TfFgV>gT;+B?9kG8UmcU z$oW|s@U3zDzhO}u+fOG-!)kdwV$kPHtKqB84%~DT7gz4C;=4aXT6X77(u4CmC&Y{aJoyn4WJMK+J_x}d;| zp7G-L+PxKSx&o8RQ=7)&N8kVKK;$cKJEo182kU@33dg0GWxa7vyC~SwHG8tjkwTQ5 zMV|1Ny?ZkIc)!H{F>%$_$XCUiRZ?uP81VRBk}Na(X7X?6_vE(!&J)=WU3bNCo-&2< zlq(OD9yOv))%|%_BlYZBhy|J)a4CFRtmP35II6k>uGw(D+M;h1%rmQ8K7Q}Uu~588aFny{d{zGfPhPGJRN#4UnhCNZ zyArHA6Rv-ztbDl7zVv5{r8oq@IUtd}MkeP>{!1NrIRi&gr;$Q!)7gJa9?dx4y`b5; z(>BSj9dDw)S$EH0YOBd7KLk|dVJrV52>l5L=a&!Z5gHR2rQ*X!#FaSK#Z#bvlKas~ z8q$wYcz4(^!`>Eb8}ep~XwoQ5lZ@oYL3h|rxRJz#cUHH5ijK~$hW%#@+|V(0_^A^t zT>o+pqXt4JI?DiD%B+3{=c(7DtSS|}KI}0U7mL`U%zdaH52%bOT_hzdIX@%7ctFTEAnb4kZW1;5bxH}MycKD>-2?I=8PyfK3XgtP@l=M)NELP5+wPE`|9l>LPR z4XVnvmxV$5TbUH2D#>Afu`h{?pUha-W459I8SU>ZXTz=g2QuX0) zXSih5F{EYuF$_bkcPtY(qf9Ep?4J+8Llk7p)7ng0>L~YfgR~CsN@c^zUS6Au%c>3N z3XRHq+~0zohP4Y^hn}ONR$~C{)gLvY2o<_vAEGFl{S#l(sH}kJ?;70@|Jg`>gup>5fzs*Ag>T@?L1gcUP;R zc{&et(Lm_b`4v$S)(E@G%o7FKO4)ssq&cSF8Id^YZfR z(&9~!wBkmk;3&Ce1m;t1kCcn|J`-Stf#4lSA}<=X>|=3adY(|&9dfk8XGcz|i6UzX zpAPQ?+$x}*&)9bLEK?AzkIcrgMY>y9Kbt_i=jdQMTF7QUns&6cb?8Ni6GpAVEq2n` z`Hi1@Vf4q%7kd*gA8!)94Y8v7ADv-@(^(hrrTN4qk^+Hx(R-%%+ps|vdRFdJ+(&Hu z58-g6Kx8YQ#&Z~o|5NhXv|!p$!A<3dAyvyX81kq~Yl(_C*YYxzkbdA#2bPB7wttIq z#Lrsbq_ae)A_c%Iq$zXuCL6F`S|-ztMuU3Q3jZ{sVG}aoCNSKb=<-FzJT%6QBwd6S zjJ;uZG8x<0lY4sIV!NLg_EA_rbC6WCkcnab3E3)U@@TTnWXzQsVhy#~imtkmDJ| z1m?)BV)x;tS%Xf_cn2U+UP~jhM6LuLx1H5|CC79ZZol* zO7iQX4fZ6fV>Y4kzq+EuN1}}88=wA}!M5Na9unn|WDLtL1rz6`YS2fi>|~FFmm(kl z4%PS5KR~C)hSSR@%R~e-wf}oN12tg?DC7*HkWUW7j+{kZnJ=C4!e}?@cBvF<+JZmO zzC=Jycjm=$n|^fLAFF=f1ahe!#6MM@_BnF_9Ww5IW%r~M7%T{ri~r3AG#bY3g0qA7 zzG&{;9SNFKos{FAiaq#fe`pQJ%cCZ=HL!2M#4Z@z&!KIkODrEkW;WI3{f#loV9M6h z1s}g7XID6V(BC6NLWGgDk`V(9Z<{$`ijY^J;HH&WAOj^;Emv2wWv)kQ;t_(QLMC(H zxJZ@n@-}TbqKv$5x7NE7?pOvSNS4Tho)4SWyvw8_Zuae|A|-KrSmO&) z;N!xVbc%bM8p~8ZR|#A~#B0W7Xes{&=<~vpiT6}frU=D)q8VlC;x!TT`*zJiXP>{f z!?|*g{J&rgCJnd*OBxlAZ+|(WqV@b4*m(yQ&CzsZ#jZK=ex^%P5#J8K1-kd{*k+yA zI~Y*Nd@>qY)R}fNgU!(;>>jPk-iNYSRn&KXL67b{2gh`HqKS?RL+K`KGS#Dc1nx7b z8!4P5`gQMwlv>fRI%)3?t@FIZ%oKbm~{w_?4pM{_N-13!ipPk2pdf#czVm$r>4Cnj%?(WM>n!d@|#ty%5z zT~mgSZTI@DLr;eDYr8#8Tu1a_;+$*1W0mO;pEp}kAOA%PMBUW@N|fDXwZ<=%en<4u zQdP|QTkygMN%%{~mu_Vke~#tw)U5_QhM-|^wVKON9o6^m2dGf=bg3y$8|>UY(-Bg*vR zTG1Q@|D*=w+c!P}Xg_D4J3c9n-QXUa?)LGtEFmi+K5>JN^Va-|0oMZ$hYtK5PSS&! z)8wly*+xH;aoW!RlgbbAy2Rim#ecuPR&tn)`bckcGK zoSxChaEU`)#Y6qUV@nNadrwYg_ZM!~4s=r82Usox$W0^*1=|#BR2&gRivOZ2t)C>J z$Xy096ec!F>lZ~pr4t%c=)N}kg=bfLbeN~8*4nK<@*$8n?6#Vqa_A^j26lfq#rezS zV1{UW_gWmC4UYR~ZsHYMNxpTMKuI=kW$F$1U`X54D#JU^X^fM9f12`Tw}8)QhJF9s znXq0Ol6qQ`1@5ZpsVz38@0|`Uq02e$6`|3EJ+{Psm)?+(%;=0d^J!x#qz$Omzi5qR z7HHN3C6O{Ya@)pd!0mQnkQQ|j^_@>VBw60djTshYHzYbiV#SDLOLYZ)9A@7jN}vPY zxv`&KN6EcS1TO4rqFVCWdU-CjVC?QDxQ{B3liHMpf265Na4q6X-pnpy-KYpQ;C#cA z#}cG-i(af++_3&3>f&|;S{$#c30LdmFOSP#hTv(zs++&pcz-3&eEx7I z^zaGr1sqMTw{WwA`1kpNC`GwQ>c8ryB~9F#AhJM_qRKYa6@Ql7Sv~E!8%hbt%C1h5 zx{=lFTXJ}~CDqs?ZEeiDWn|L}8Z4f$VoE;Y)XxW3kE98cXBOz4ea271mxcW8MdYTM zGG~qbyz#GBl1 zjAry;b@~48x##}5bGEbXZ0GYn^*$d|JNZ8nj%#{Jl+nK9RgKm5W&75SGo|m;H0Prr z7{^nm(M?-q(ddg+HKMBk-!F^%Nwd7}^k@6?uYjy?H88)}olRKhHOoe3+bdIEDI3}P z_Fx5EqBoS@Aq6Ki4q3j%9H42u=*!&tNPhezLx(MIz5JoHAtPz?CVR-08F+mlOYciv z9bk>cDAI1q!E86XdlF>XX2va@H_?<)^*@t=w3IamH{k72qg3j3{q5;lI6WIFfHcb> zOx1R78*;FeT=Dx_5f(?A^=x^}>pYU~6WzULTa9d{M7~V_(4_r?4~=g2wn;bsZyMhi zNdpCC9`ong<`wS$BFhXvzT1>M1D&;4*$yy)tH{asX7>GJ=3=@gl!g||XVJ&cA&T?? z*x|S542Bo-Vu=Dt_DlOp<^rbUFYW-j_(T%=O$m~@! z055Bw`~8e?@7q#Kdhd_>bpQaxQB+@1-bPOch=c635{1!6f0-6b^+Oot%h#PPp<9&e7FD{gzFkQ9K3rW4kbzd^`@wiso&6(g=p+f{_nMcXaeJYvb|dc8}uOKj9}0`w4^mO z%Glx2EBSf-7n<{e)z3T?j^op5_0yER5Tc*9ggF`^p_RPJ?%R8ATZz}*WhH8U|30u)Y+_JleO-{jtsXmV&Ba(`>HCbM>U78l_2-OIm=O4EoCLP_~GipJ_8 zx3l3v5PE?4E9q|B(=2=@M$S5h%Zj*K>cr9q5>lHtZ_V2K4-P8HK*SWsQ zz1djhfR0N~CV1<}V& ziN`C*?}0=Cf#ghFo!Kb4j=E~WtSLr^v}6XdcfxrZZ2AVdMWFp*tt`a35UV4F6*ciK~jK3*|YFKW9x*R0>+y^)Dkv{s=Uca<6ej|I#A%-Ql^D-b~L{ z*w@o)87F!G*70NBp};&-#z%bIn_zXlZ#o=-0DR3`qJJ{p)h_wp-{mPKz#7!5$!?%lwGu<#w4z(qwRQD!;#H!G11oESj^%+CsaShq@#g^`bG2Xx-)A z|3}T@QTp$N{*%b1o@P6mx-g38TmJ7%{dG!~V{J?RU(g;r?DVq|0#5ob=;AA@i3*pf zyKJ?6On80(-dwWJ;S?1*qq#B^<4$AenqFmJvH0bDdcE?O4HOmA`=UIlzt z?9zw6W+$&n82t}@H?UL+4D7TApjq64JvG1vXG9JLNuioIi&qXp-oDU((;B|UrTlY5 z_CSrcj{YYn<4j`Py3mCG3t%-P99yYVY!C8%8tJN@t#u4wr=@G`dBmAf&jsF)^JkbT z#eeboK|_0n0!SSB>{npB_uFfhee`5DN^#|b2*a9ob}dAjA6BJ@bo=g6p#Kwxi`om1 zTgQ?>^5!RX-STPItlwX`(c$1Mg7nr9NK#R~w@K|yQ__mxxCzeVw$cXh+M%a_&=0D5FYA5pw&#>|WsXISa$CKYO)qb=a;F(` z_1C%E(buO)Gr=2kZTSF&o5bR{PbKkp+E~ueVrOodCp`+rjX#9?BXq$*6xeSgFY!7h ze~tKb&|R%>TORcw0%R#cKawzS?3CCr_n+yl+5}nESj`sc@?Gy`S{a`NVResuUY#>1hYaOKYhYvR zDqBSG(7%yAQKY1$-3Z5`19R6(h-S$LhR{fiwof^{)Y1oSA3S$K?U-1Cfhxr-Ay9Jy;^!aU;8|;Yw zP|?l!QrmdhbI^{BoWq6k%lzGN}Sf{tX)@KK9q=ugIUCNO{Zn;C{1HRf!e2OoOtJ*?v51* z6lOzwbBfPy^O$flxB7FgempceN=eBgxK<=4A|<${o9=SJ;B*XisB}<#{xtF3kNkuW z4gBuBoPm_RnZu8N3foJ{gqJ^jXP@+58nx^2x{{^&($O$XzCn!#O2(&Tijw|A12NyqH<7p!&Ie6iR*+a zDg$3WtnoZ6^xv=3oc^8QEBL|j(}Snr`^l*1C?R9>$Djb{)39utvl`LCAo$e+YiD1* z_}a+TnE70yTlDIj=3~*%buQ5+NBxz!lVvMjCawud6kl94FW#EX&T_}+<^93-fknnM zu0~F{S#0(vpq;Mgk|7J?B3K}u3qp{fCW0l;5O96N5$}DvkpzD6_l?fBq){n}Q}l@K z-F)Vi2d_->P!7j5?+W)Dv&R|iUcLK%EbtnTcHj!-SRiG)x;yS-XP(F8Wh*5PnPbQ5 z<$FbJtm4M$Qlx?gLg=F6!&7bV;Wr&Bi|X3GpFI7rshJZHmFCkeho~px@mnsd4sm!b zipdQ@uuxg~~@;ku11wQQ5Rc>FO#gqu$maOEc7Wo>tCK!cmCgbJ6 z7yG^v5e!~~(S@sx+!BtbtD2z`{Ou4@ zg&m@mVmovodql@}fNbrQuZ2(k`z_06$~<@4*Gow6C)eGDl0-$_8rO6V6iuRQR9Dy9 ztxckt@O1&-CeT{@r>nGVr`u$(;fPrHu#4y3v41}jm}{C6O5vN$xE@ee9>$^aa)vwu znmj^u0v29!z7EYj5Xb(& zUis`V+bH&DsJ1u@TA#(rn2OWL@H-Ee}()zz18BMv7F{SUSI$4(;2QfGOSjlcqr zsn=OBw1QG6tyki9+9O^{BJokfE?%-@fM2-?AKd}AxZ1P=vTcV%fpLZPs?AL zFP5KqY|vzNR)#z>j{;4g7rG!R%vc6@iCIVSbN=0D-TPk^oD%?~JgT2Vd;5Srsh8)* zzBfwCsgeBSoPhh6WVK4e3yw**n^DoF7UQaibya^h`6@8y%;0!vRis8M=<{>m$B>J_ z(?wGEY_Vh4zcy>ciHBrX&bASm0RYhV-7pE8&2!F&AGMgIf7O`SirQwQtANk3K2(JQf?<2l1&YTaZ;c~ppC z23j*cd)MVr>EA*)7FOpiXMflLQTkGFc>8*NK!_vjMcr}^JYs40Z78Skyq_LdbpQeUyiHk3$j zmMR`cx=8-2oNGlP+k&Y(nkVEDZIJ5%bAx9V&GwKc$D0jnx~p>=JiWkfW7RvPqt{~~ z*-~RCxG`#c_h~iKs-f~UE0)eG0No`drIP*E3=Fe%ZBY{#V=%DA#$r41> z4l_E+!&nMNYzffc7^p-oUx%cBet6~RoNv5_mnaToFyT63W?ephl?8j_)2ng-fKWVs z3b|L!k!4o>nWBCHV}=RTwGH;|ga2+-VMQ{)9WXU|rIHV$P^rWs5Nz_tZYbKn7!!~@ zAzNv-BlogCyGt8NUhsXW$y27;Z_7h^G!Xne%u9vHWi%tZ^*WYx03$m(nzeteD+7IS zvqPJLy1T0IGKh3@kE(d!m7PeOw(XKw<)xntMX!F)1$U?JPIY&0;%Qg9M%q-3Qx8#P zR!esfWQ!}agigE%BMK#~@lHRP#g~&vIUBh4I2Z5h=thX2KX7G#YP&SG_@*jr?YT$ zA9e_}BGRg(pS>|kBO$I%;o&%!#IRe%ap4q0HID%O7F&tZx6Q7BVi$`^O@P5wQ}<2z zf)j;z!GB|na_>E4_s#>oGVMV zGJ5WL%0|~hetQtZrb+w~Yj3;K?xb&HXyzFwiY&<&;WwFGXQX9B`3{I3TQ7m#{p?}^ z3nq1FO|Wa11b|Q#xtHdurK%>3~*n8D->d2ARX&HD*f+)!i zRnneB!z}L27{$gwI@Q22a{~*k#^#@qZ+8i4hWfOJnJUXx$n94lUV?HQiXNh^v$|w1 z-G9FZdd{ycO%Yf?lbRebj@1u762}}IDXi|ncA;#etXe1BH)}D8n@mPIo3#Qsg-g`B z!R6Lm@xpGy0Ai%5ID_<8N1s5HT^LdI1t44WJBFZjg>k{h?jJ&Q{t4W$Wb8rm4A|kO z3>4r1VZwbmIBzYGBHS=)DaIywYNm=N;~wLMXPC~c5nnn|IK~8fY&%NMp%;L*fZE$8 z#`{`F=_x`wCQ@)wxMgn>ez38A#XXoOehQ1tqkiJnUc?Wd3VVO=Gdt#Od9|(#VxADY zfWMm@mIf9=RwF=79e>Y-<2t@Ux1F6Gd)tsS8z{g&h3=36S&y3e7~% zTKB`#hpMwJrQLn2lcBz=xzKSZ66l&%7QS4~G-Rg=hCW0sNX+vhuAdN%>I_d0$d6Gx zOzF$e$ShL2$<n>2g0s9hL35Xhp@THsT!eEV3Lgm&%1a@SeOFV1DEnNbQCOg5_`J8 zZ~`@lZnm>zoZ4+_pPqi1yB55;of2TVQ{L+!=;(S0-cb-|BRO*-3GV_YW0>(l{HRI- zE~t0wT^MPvLv}~@!0|BY>_(2H|0&DaD=*ZyXZTbHR7RIJtYg^6?T6+4axb6T;hST8 zst&9&>^%0j!>0fORtce)StuT0l+~EjrpOT##kG2uai(eiA#riunh?~tB1zuN?+>xS zht;hwfVCO%oz85+Ji1efj1q6{{^(a8ld=!Lm*wcsei18h{p2zt5eZE3&B$3a3y+JA zsU6foFN8jddM=1??#ku;Yv>Ro>-Fek;tY)k<&~*!+9BNk!=Cm>sS5|HJ|bE2hmr4G z^ZCudEb!+ut;$d$VmK^JBD4q>FZeQ>9wfrlnj`F&8e}w}Bw$?6f&2)GDbFU}5XB%y zn8ySbNfMxP&$%pHp%2r61zcwA0D_k>OkKm)wlBAmn{8t>f#QZQ)$j1hhSFm`L?e zg4P*cZ8nQDl$PNSX@QaAR~`wrr(xrVp3uiyq{Zx+ZN} zQ2RG7MxQZ$bh7;F120T`!DZL(j!;fAst2 z(pmuDsV;%CqWhxeRqAM!v&7Zc1@!|>ZffV(IvkKo<|&`g^`e0S8_-Ip#n@!X90T4c z;KXew0LE2zVRs#H*5sHu8ms;p;XLnioPc^AyO#WGm0-~ZwXnL{OJ!+N3X=V|uw-)s zFt)L6y<6L`PFgAjK7gm-x_Yx_v2R9R$=rKNZNh;0sLa#Lzp>TEuv!~@Mq&d(hX1^k9trv7^e68U_E-@x{ zG0+1$XNa0R7GroRZwPR?y0A~pdzAMJRn<_~6mgCIc|GXdoer{+RF7mmS1YMksFDsE zt$v>$mVIs7CD+dZ73IQ^X?)Y6L#D@5f?#dW=-&$YwKmly>Ql5S>HC$$yZr}to=Y7ouFO?2zdak1 zdHq7d7oW#kEbTJjFI(WN#46jNlDt+?_H@yLcvo4xNOR93Q2(Rrk>=^U@pj;&SepyN zpIKiaUrrwyLb?8WD7~=c=o#~3;i}$>9^fV~LNFPf1&K8r(t+eHm5*lhncJE_=cCAg zTYaNHgl>{v6a>byK6RS3exZuy_^_pg9d@+p$)gE!SJvvxj!2Y8gfKaau7BH^ii!pV zng*4U!qz-wOAw~*f=Bn;ZjW62lweF0?d=R(ua^+KFe2;KsJ8B8;>}`i#<6DIC_Gy+ zK?4N~%hy|jidNMGNeZ=*KE|Hq9p4VAJ;1OsnUvq?EAS=8h@wX|U=J`Zj2j$(Cf6?yYO1DF6n z@u9?bf|H+pe*OMiVksn*sid7umxbc~`w^oKqRd!5+$xBx^p`>`DOssg4o@_ZO@D_< zOX=dMy;Y;;o!#!Pm)F6yZhwvx`zAz$U&Uk!3VuL$O#l7{S?>#^nEQmZq-sw8aEe zR*A@c>k3sP#2g0~vK~=UJfVjep+`LP%T~UejQcS?<648A#IZC*z|6&1KGaV{F+i3B z9QsQZhD|Htp-FoCMA@Kag@LObCd`*G!0FGiw63Cgm9ynxu9t?);Q3-owF-f?`t?tO zMmxh^d(lq^qy}_GY9F|kWPDtD#ii_K1RGC@zP<5Y^R=n_7UAujSLK7@fj0E2ltELy zC7Thn>ERE~hxA0vLRkul+`T57MP02Uu;&Byz?l9tjw|w`#WUccu;u=ju4GdoznjQm zVrl&5NO?ju?%d+`CZIz_wB1-pkS9vJ{cKOpE#&^u1NQ1?1^`zz__-+C#LU25#Zb}0au0oMhqUiB!=FNs$2uWj-6Xb?}wgK;_fkK+4z2xa$QAE z5rr#!2>=tl>Gkm42pS*E-N-@T7mSgz8V+{nN3`SI@h+Zo`B>UU#Xr6% zVsI<_Et+R!?|rO1_yvS{@3V8aN$DcJ#C6oK?Krj2eRDc_xEcTBtai*)`k{nTV`9f@ zmA$$BX&~#nfb5I?cE7T|Pl)0HhyJviT30jdIw|M*(^r-Hh3=+@=$W4kzESD+(7T4$ z?@!kld>xKgWS+n`Vi9YQe&sT#+49pA?1xQ6v{k)F7qe!h!NkEutf4>Y;q-cxbf8H? z=-A!qRdjKT(e2<~D!iOsYt11 zje{C~zZS5`k=_n#9&HnjenKpIYr}5!AU7;a)36*soJklfdAC-1F{Nx7|&&*bOPH;aJX@+M52 z;W#+G)wk-XWE zF2ZiCvKNXv30`!d?c=#(y%xeH{-E62eF@7-TP1c z#+x9R4`;d8O+;9v?LZ~^No|9AH_I4jf~m0UQ8mxAkIkmWHc;fv>3e>r#V)841#^cpp89W=zKv{4 z!iBRrDvWK!GS?JN_YKT)hda)rl$a-;Uo#vQ3k)?s#i?G{IHC*Y|A5B^^|qiAzO}J1=umwD1@!S2%^xY zdmW3=PKN-~?ITr+MldST*floemgZ%XFFGi^LHev2yW_eY2%d~N{dKRs>)cMq2V{9x zBwr;)&@yPK~vZ3&Bu zz(Y5J)3^R2k&FUg^|dH=##_0f@OcWz*}o<}h#;pIfgrOvU$-?G(0!zYEn>=|b#|mG z6e$APQdrt~AwB97C7SgDfVLrTu9_>==%HDj2qY%2!4PDQ@@DCHP#r7%TVt`+Ap38m zAVXKvACQ?Q3R2klj*2^75q)l}8ddn?kUPmmCx0|UWQMB74Cuq788Nef48NDPz~B7h z!LfTejm)!B%6$Tt*rKYfyiKf)$piJF# z@ds;#=r|%$7|JmZP<%O-^i=rD^Esc<*92bMQ`1D)_u8O`|L!bntgdhfwHG(|{$l{M zD@SY50Hc$KPXSo&pWI&16Rv#IrBqx$T*VdlTFO2c$8}kPUwxM8T!`OZGsFHHy%3x= z|3m^s~YGr8#?x8T5vT{tXtOy|_ZH-Gj62p__a(vy|^g$-=IJ&1jm?k9(K56w5m z)KclnD!T@ov5>~w%pGzXt~Rzlf%X6bdKaO>H>J|90u6A#+;QKB#ZQy#xC~jAo<&TG z0-?Pi#O>+2hhO7W^}W1EZzz>UahEx{f597QpUh)uZeh4StPP~$tKMH8cx>ec81)0$ zd|A~P-u_B`dGko~YPLx+YoL9>tM}~zIgXN%sUfO}R&<7w)XB^sA=DGLk)^&tvq}u3 zuK_+j_7V&uwb;g8d{-{7_Sy++Ey9-4ZxfPwgoZN#J~$cfcaJo82Zp9#WOJM+7uB2}oqbrS^gkH6rb|JSN_c1Jo{D(9R6o%Q4oJ1OHdG{u99=PZhm=jU^W?J=px_q*!x z0mndZbHl!Ya)v)^wXN|&H(5N@l}^;&G2NsiwQp~CuRmNzmdh--v{0+GPW&KcujD?! z-UL%DO};gP{i(rru{_`BOE~pk8BA+iRv|k_XI})8q1mtJ_o`xmAu9R@g-q4l4Qr#K zbN9LAE?M2a6y*3-q%FAUs#dZ1*R+iA70->&&LW3*|C$I*UVk>~5q9CS^iC9YUG~p# zHRO4U+|pnECfUc;JlcP3rk@80h!dd*GD43Q{o>*4MI80c?}jger%gmCdjdi7Ix|r8 z4^|d|Z1#{krhlKGK==-{StophbZ)O&=a>z0R07HKlu#sKBAvsUX8cDf-<1cw@wCjC zc)?aEF(a&JX00-4bRU^^`a;K~WupXtPq2Ae0;r0oBpT&Tx~aSihs{0s@5!r#y-{H@ zw+x3BbFzxN!mstQ-UMV1*%t6LXtr0|9I@bJ4lh&^eL2{7va5^}B0g*|lrKK10|q>^ znJUIxZ|UQ);R?pp5A9834`M-vR8Q*a4HXTeV{!2O<|ECh1LDPlWD~C=R`;y$L~O+W z5xrRC`$?s=!+Ub-2vaGKDXViQ-$r>?A0#aUnX$hkEd#~UtEo)-&!b#U_9ub-iIC?X z|Mokq^pb=uFaS?Cuat&~Lh&IuNjABaN!MoOE5cFf`=T~) zZ<@{rj+h1Oiy$1UYC(asuU+3K{~=DZ=UB-py>p)Z6k@wTuahx#cu%C;mEuIUZ-5(i z-{^`bBfW0dWjU{=^f^s>M>e6E7K#)ff{>0A3wrdw_w7M#4!It=d}bh+{hQLC7L2x< z@oDLl3l)PLvijQLb&zvRjW?VZ{>cmJqx+ma5q{(|7KW(Da>SqWrUCokMieGh=olyK z5Ix(V+hOaxemvBfkLXXI!-vplm7RS$wkQ|dhwCR-9N0u!Ojac&kN{sI89*M2O-P7_KvjmUGr~`4l3BOqP}d_l-3m9B882k|xhg0a!&-7m&67rAhf2Xhx{^sGMn!s^xtNEq6Ph)_7Xs|Y4lLY2n@hS{a)>BVCCU|TMGxy4OU&vmN)wi<>E zlrrE;@0I5Uyv;|)d6o1DdXc|_Q9?oZi^I7b^eVUSao>Aj=#bA(?X$#FV!!iM@u;tG z6zRM1f2C!98Ni1Ui{VQykmf%!762Sa3exg7TMx$*vv>7H3cJGA>rfNq zwCmN36|4YRA#1%@p|}V^T>isxWo0JnWHE2 ztaTti7_JzD71opdvFRlU;@Aqy$fJb--AtUX9^7sLwsfzrZ zt?3ermq0IV!lpO#($AZB7MCg6uNWlGb=j-wp;1mzF$s$moT@}6XK6|!d5Di240!5H zMO*Ky)zPkoQbNA2BKYmL+WH2zLyLLit9k&T-(F&d(yFY={S9|E_1zDgU8<{xb7af5 z0*6GRle=-$CCyB_p`X_iak2JB*KPM>vmSTmLyy7_1Tlr~&fhp4T3ezob=T;Nqi-eB zTC(R@U<@F53<<0ED}Yi1p+4`~`Ps5>^=#>?jX0E4U)By*#{>gH2Y~MwMrn)%T?95o zfSe7!`{s1_TVnQadBAjffaN{^R84Kfw=dFijj(GGlZ*XJWW$nWP;04E_=NC-8>b$1 zsN9%p=c3`F*`c1{)q^4)Erpc&yT^A%lO+{=>Qgf!ruJJWqU|MEAki`>waC*7vD4^J z3m~dPhR_~~Saj>puofEY4mqpqI|-nGg)urcE$Y};$)3M%9DrWW4c}`OZW8y!mXtql z1Sz?^L(zW}jyH0PXN^#Tud_6sYWS_S9j>1>teSh zJ%*6ivHS-h&QOKUKkvnNuzJq%59PjmyseDV-IPTQ*N1vC7P$P+!#~$l?-bx6fEFhl zJHfy}`1Geka|1dqf(H2;?SGY30HF5zq&a+%_dC=x);0+mLlKIz<{WKg1C2UXTzdeF|d$}p2)RO$h8G|yVttSf_EkORQ2g844 zCj969&rj0Z1puUf_5h}azaA2PX;0m4~gCE=BhvSwV#U0SP=~Yoc*WpCI!lB z=zENX{UNJX&%GS~h%|jWi;&vj5P+?J7f?jPJ?7iwXrb|Dn`x`Rid}kVlz4!=63WwQ zT+T;S`NM1-dNm#nTr8CX_+<9c_);k@g-~_kQgDiB=ZCk=CyMvINU0W1XiP=wq>prl zFuMZ!jK{fLK$`)DX4``afPFZNpP{#=2gIyU6j_y{n4|$k4GHuP7%kANvK*Db~Q+CD!6ZZ0}TsPCGAnq01bXrC(({KB+f*X)!MDZzDR z;~R(1-+J%;OF5I>^IM_kLIe{0{WqzT!*DP;!C#}HwXyn)1;b}-zQMEUmplYi)|daE zyWb9{)6fqIS9liqpKxmxIo4RAI-4~2vLSOyi$iHcW$+hYUCi=V8k`H79$_dDJ_?y8 z6iZ%9g)1QTQ|@VNfGWN2PHtNm`9ZbdgpmFDPHba}b8+#;at#LdOiUd;lQmnQ6VUSV>;1wH?M=p6ukJ)1hj7X0 zVP$ClT>4?f@r5|zl%P*^{HXFnUMyiu8|2wL^}DAbbtbVpw9+%PWghjnMr0;35uz{7 zBU7V|4P2}Q^kx$90dTj26Ck!L3HVewu?RQ-q--&c3y(7G9avNyHDu=bC4x7*S3&nA zfaMw+S)@;!bd`PB^B0Lao9)jW6LAIDhm5d%DAMZh@YXPV9y;IW1`<66bA#uS*U_0* zF)o;NDJmeUCE=&&;S(bw1?XM;Oz#pHItyV@=tMg=GYz*RuTfvanu;e)Ry z&z>i%g*yROZFi%7EB}_>j2hr;kce=Pn*YS^v)W!!T#CIHSrUidF_DqIId=VKib4gd zTWHsnv_{w^0uwVNbYgEDUSZ`9f)6z}LzTQshBFP;M`e62IHWX;2g=MA1&CYwVt7zy zvRkrOq@!QlE;O;68z*euc}9Z~MG#UmO`iYKR{K1}@)*V2?3GKve~+k)r=p5&PR6BK zBXWxRB#mv!vitrfU;-STJ0^Z*GPsle#LDeTh&T?FHy@V;=&Q=wm zLp6$DWq!qH^2;=~PzCuFlj8}4cjl9=k`AnypQg{-75E&xDOrO?R8Zb>e5{{$lrC(3 zH8#xh(#GoX zdozfw*udv&Q~2#hbRqr?*jjABe6ks9Rgn&hq;PvUmop{PB11&3eMDBOVLt!hN?7`{ zHtya}9}Gm|kdxyIgH`b#W{3V+uQ-~*6G8Hiw=~n6+!yaI)&*9IE)j9M_cdIncrvHrC^vCwW#r`^$lPac?e@1grPk>RJYXTq;ppl_> zg8pzg%M24H(+GFrGNh9q14U)eSVa}-z+wZG0M-WyUf-sK&?XwmDu-OypSV0f!Kt?= zS8l=X2Ezt$1;0+xDI;R`hZv-DX}(RC!LJd^vmDYAGsye zxmE~-Mg!I zNsmU=5)Z!DEU3-eS-Zg}%VloOc)kc+W~{K-pbF zt_<%8J5+@xwn8gCMiUB$jwQCk%vPi_#4qC5Ov{peNdJr)S7MwhgE^yXWGQ=_{wi#un9s5=R3<7KZ2s(a;M?6 zU*7#9p%G1QpKVUV)Q87>>kKOk+3Kb)H5Sx5^mC+%HW#A>L-54DD4k9IWq}z_`>+jyh=wI1Cn1FbUoomxk4kw93F5pUG*-&Tfs;!ieiqe&pzH?t{CU3rc?f#CZg zSCs_thB;;okkQbFKpP(;XsHYgmcGpJO#x$*|KaXQ-H*GC zF7zdDpcnjz_&A=2`R)&qcRH7R_=1d7f{<~e0D!V6srl#9GyAy9JUyqnI;o?%fv@Xa zuD&mx`F!itI@i@$t_>2C*jWFaMFc!nGOzl)BUx_zF7-3)hM;it`az8r-IP_4R=p2*6etKh~ zq<0WKFHck<%6zXB4BYm;xkmY=Qg$yxTsNlJdSZchLRdTch_qIge)wMRK7<-iI4n%d z>WHY0#}mUulh*{=pKoBEQr-Q+^Tl6^!H_Pyd-o$Fc2WR!L1UyzjbZ27X6Qrxpz=Ot z1>diPa*wyh2aU9J;pp8`N`s&#MzmJ?FDzT*m2m?`lpZorYfNpYxvs%hEQ;Il!f21k z#uvf-Is1IMeH%{QiTnxVP!|uKxw7iQ-dT65bYw z;HQ-`=adVMcamiuDN>U?(_JWpBE{?WI6d}*+J{M!n9taQ8M+zP9=YX!U8n>t>@}9_ z$7{;IjwqbhR!+(4rQ5pC7+7W57$~$S`TdaG-u}6v_c~)T88Say5Zu1f@guR1sA76+ zQ#tFU?kKj8D1C2Cp)#5L6#pta%VFAI{IV#C;4fi=4EdXEq~t9zVX?=>3fzyqCFz_d z=4B`Eu%c2IvY70jYh&O4Z*cXcD(fwLW!~9Ol(=aoCX&#)>u0dx{WQsEN1sJrp)GP@ zNv$rV1WXjpM^|NK#;Mr9JM)lvT9|6~`8(vsI*-wqyPXb}BNkPxRs*?pKZVutwfXv-Mv=a7MW0gxJ=6NsOq1&(R#^EdbsNh5Gt7ITZf)QAYnyPQyDeoJ* z@?0pQ^x7kpbJgnadY{91qIGBQr=Ab6O!P;3GZd<vY@25LLVSJ}5oNu9}Ht`5KB79w&0!17UuoXWxaT%2>n2uuzmo0V_sv-8 zw~IV1I%L%5x_hn=oo1XtLVrfVsn`8GZf0$uFr`fa+l7y7KpP!y`=_!t!$9{ z*%qU*sRC@@^6qBcaN=w~v10!%783v=3|b*j$tuL&z5gmX25{mmqioa3ob6Lg@__NM z(}buECMw)r`c!yx&9@75o_!RrzVT>dT?v@=<7AIe)bEl;dN*78pFw+w49@K6T6aW+ z7lf1sDH3Q!N|o44N>ykTakHNpJu=7qDwmiwV*L;}O|qAd^?3Nka3=uz`59?~K+V{y z);w&OO*m%W{95S*?t{wnl}awk%Yv{0t^l~lDZca3MtZv5`B*jMQ?*k*0hF{RWIqUZ zu_g`C>pP18p@h%eFn)Z%W&kN178SY{z*K34=t0>8pXluc;>iVZXvIE{Q?v=(Y_Mw+ zKBDPm)s_@n*|f6RjO3^Q4V2of3!R<#!_jD}U(K#CD~_KJ0^c*KEz2H z23lWutX%F!{_?u8OK7S7xJe;vK6){`7XJg%SsB3m`dp8~Z2!GDhjS*!tdQLpLTPK*rwQvukT!#)Bb_AEe`CXrICLzV#!G13p6KhKlyz9 zx8&U>F`hmL^wez9Af~72HXhX<&?K5YXNTjzB#=4X)`V*L!%hp89g5=vD_xWO!t zOmsY#Xc+v?p)5-Fa{=;;&qYv_Z5($D=v?jJ=EFhh_}Y6Os(BN>%55VML&7aLarap%UxUW;G3K4p~qWde)F3K=z?Ce*KE>n zj0GbnlCWlL#*pp%>l@>2`Y@ooMcWYk66*l0?wQu8GoxC)h zGImBt?K#VyRW9Uvp8@#aehdXZVsf8-cI75l@mPW*C#Y-eqWeoRj&syPcKThQ{a0yK zUF>ovS##fj&bi2}J!w%$AoNp@FuB)l(d*nwi0WDyUy}*%9Lm3SCtj?~a}PvD7pv6G zbt6N+fJTcQZZ6+)b0dGr^!wo3NR&P>N^+v#a3JuOCpf91$^MsS&0H-3v`zt=xnwaV zg#13jqiE7fO1I(47km*F0GWfIGBKpyyU=9;p__}b#^3%?D$1_+{5n0&$^kfMNo^ux zFXUoGkRLoQ&lereysjkpyCyXUPC|E2&p9NxdBGpP~b{Q<-P6|&2)mK z`{1Q|>=5JS%+RK}Y;nF#Edz&dtv1h{4pZ-eXp`Mq%TSMxj|!GNsaFA?ixMD2G98Z z&U2pFf1h)94ukRe-0%CkU)Ocb(j5B!q&fb~qb1zRW+Genyo8yZ-O_u)?DW-I?dXMZ zUt8?Ee~C= z_)^4!6H9mK6n`1JP8Y<5TVoNlH2j1KIIKiZEK7J_G_x< zxF3Nq@V^=p<^RRq86XNNbJVS$V>o??lzqnEv!-gTK^ze{)uj&Rvr@a=z>MZ0S_y@k zu%ODDu(#SY#$|JpP(NeA3x@FO6(FRVGDzqXNB~d}HvXDbsLFhA;82*55R$=l)Bx zm)iSiLb+Po3mY!|@#)wQ>h=`3k5;F%#erxt4H0l6eBZnJMQL_gnei?N`Hjan>gESo z+3n|t4R4t_2$MA0-Ff+3t$e~&K8giTj%s&pknb}yd&VvuO=BL1bfKH2M4t4YVl$E| z7*sflDcagG<#h8$*)jg!<0FoH0UZgD)e>xh&h(0fFgmc`{fkN4}ROXYB+4cMB1$<>gvGK&I>s~3*WO?&U zA{jTycAyNbhbs#hzC)kDJ}|L^LfkiYpj%yqnWeKkV_aln8ZFYt+f|A4h(9zWf826S`YG0tf|Bm-+FgQ*7auV}cVxmVzwc*{NepUHB++W02$_3n(KBfNO zKX5d4rp83dMLQT*cITnZkAJ0mfZ4~qCIcM_sow}=NibZ*!iiNh%;P(G)FLBdmMTM& z$YcbKdC$v($Ids6ozSLnK`Dc_9gAEjtp_T}EAV*S2!F?<|P z=Zoajgh1(UuE9roe^hj8jivIRSt&2llKy2)64yCzi*D#;x zUDypt3vKYLfmqi$PyO`03HcqMuW>I*;X}r*ihOPNp%%u)o8R$=3HZPt8Hx`^Ucc+n4Z3RXp*Bgq{>?{!8KQarZi#QvpMaj4IxOY@D-!zWEX%3zwU8#+w@r5 zcV5~1I^^8s;@j3Hb-q99`?@0tY`)Y5#r6Tv%YMJzxZT5A`kd%5y)m~FF;w8Ai472e zE98(F2_H+qzD$?`&Zb5W+_lE@cqUE)*bYr$AGW1uWPJ^QGW+bIDI^~S{#^2Dh+<`5 z0y0OyfxwRjrijB+gKXH{mbp@3xPv^rzhfh6fFb2cipJFWYq;mF2x5&epaFSaIM*U` z@L^yIR(<{#(GDWVl1Od02^ymxI^FUm`rX!hp5B5t`bFq&-w=1{vR)_yD&P{8eg*l) zh5TSB)knB`0D>Y>hg@bVo|kW1PYv5=WK(A#MJ*0 z&zicI2;LRYY#bd&;!dcb%Q4~u@l5UH=KJqCGKRnH6=S3B4P#g5;xt-dL*h#x`v3-E z#k!Uo`Dv1^mt%|x^cO<(`-@Z9_!vHeaTtXrkj?6fzChL4bLUr z`$GYzXOM6=R+t7|k*>N}qO$?K$@;=UANvs4??L1C)3{E+LFf0+Zvk-F&k4;!ED z=ia0vd$$bNBm@;Q$d9kIG-glCrAX`*!6S~9)dY*m)IrD?dM78go+iOO_1Ue^N%z0% zon1?~x|^{ZAMt-kXL@BEw_rCFJUfp`n`*A)I`QNPB?bpElN;2xn6O>Nslu=G;LH(ZQq}eJ!sjzaM z4_>%N)!>%tgwFI#WLrkxRydvQnfRAT))(jhOrL^F2O3q8t9)#UDdSBW6nS3>T+xD1Sm*%j7 zSc%j_bGZ3`wuGPwmZ<|7ry42q?ojL)LPfjZneC9#`8!zz;$@D+>a_mD#D!~WoLYeO zuY0eXlPNZ27TPmBvX-Yr7B+veb>*IX%T>QH(d~NM;0U*tJa(7=@m)az&n@%!`V`~! z{3;(1=(+d61l!b3^`sX0j=*s%Gti)^s_rFRq<5rY1hHho^l9`0cu~&;FniPHiOKh( z>bD5j{a~bd5(~ELDvlCJSPGsWQ!N=HpyaI1?>vdgGtHH zMCQ1v2Z$2i%hN3{6WN^3%;5lw9|(=D@-KLPhWE}VWJJ>jFD9k%%D?iwUD2RktYA^H zk9xh^XWlhu)DfR+-V1y|7mT60I#fUsyQ80&gf8ISfMo#!5GE_f`` zq8pK^r(l<)P*C+e$AD~XqG9L5;*G6c8F4Pw6pWA5yW1935b;Tw4yUYW`q_lRxI89)9k0x4GZw9u)jo)%6>&UNg! zokxAmbJY=Ox5|n#)H>=TU+`jIL@-}SGkW^jr7MEQ^>@q}MbV+*>dC(7O2M@9v_b33 zU;!APVy$^#6vZ`mXO3f8Sr<*V{DeJ7W^5ZpgNlZ4JEM-XXb~k+abwk2bE0l@?d;{V z>YrwvHClBqr{)hQ=Y-)ok7DDQF}`RG&v#i19Of5WY?WOb zQ*d&Xziq1USZ_B$ADihl^?-bc232UPUhD{=YH{H(i|Eek|L>5VGa6TXn<$yG;D7Xc za+({$vo?R&3(d7IKg4N_NpgxT?4I7bS^R?Ah3MfzlnP#rx}(>!E~qWKL)wY7dtW2) zvI}w9hj=OKp?T}mPj>ZQ!Rg!Q>g6!sRB@Uykwmr~IVOsXSJFwx{NFCp)v3`NcDy4A z=5*(=&?B8o9@vk$vbj9PPf^@KnD9Smy08%yVW^8e28drsp|*fM)Y&{u^5DovEoi|* zE|;>2^Wi{%eINqk&4V(-r;YGOL)FVE{#6gL^;nNIRWJpE$Na*1m+rcevg+^Vc!6HO zw>iEQXwm#D3dabTkzI!fb{OWs^C%k(NHdvb=aWIa?oEcM0Bqx=J;Aaq%5f!NE-v;b zZk<^6uFO#N^x1|l)wbhq5!@vb>O^9F-S_308!=dVy<#ADj3K3v@TY-Gi5A&jJY+;B z^+D;5Dw}K3Wk%v3Vmt*5u6xNlw|VOH*>1%$$w}DFjV9kZx0#=UP$&DvEAbX^i0jEi zju!+w6Z;`_^oe}kS&Kgh<5naPV~4)w+^FQrw!&CV?I1;G4Qc8-UL3={y4_hK#^AX> zN222%BMsrRtT>4U1lO$&{8mLrgin4@e!ZQKD2O6LKe_ci_HafJZ+^Ne_Hz_(V|(Rn zmW9#t_g=jN%|DdrV-vv@)TIeMrt53)-)cQh)qm}+C({r;UlSRreLE;WJs><=)9%Mv zQoe?bJEfN$q^6w5YdCcNxRYsooEwSTZ~YzkM%7nP|6olzFP&5>^W|I4&7Q>LOn$F7 zDZuuaZ7trtxodAt0PLjT7rasTvBF?z#CaH|P=RhxFoqCo6^Dv^#D_GCh4YtU>u zz**YPhQ{h55xh@YyfcQ_nJOT9LDkTtMdSnmKB8-U$MF8B8$8DerkvUFKqD`7!&pct z;KYiXuox{Vy7ghzX!K7$6#p-J`nc*q4*ra*7;f!ot&lisYzqC*_xb7N3*;YpWjTnH za;N}KD7Dx&n+kHP6`&AtugbPtVqW)b#X|E$#N$n{Q(wjES6t$_(23NxQp)tT^00r1 zQp6hUG z>ajnq@ZvT)$3L%}A=NnaqJ6jRMNx*@sP{c#=N$9p zpqF08s83^goI-q-Buk`gK3T0NUr&-Q)1gpniL+yY5hT$!I&|NQ9=!0Pm{{Q?)MdZ& zPEZ&Ij9CET-|XfM5wacV$di5&LY9%M74ir+8#6T*j;WVe`i-^S{d}|iZkx}t#$pQL z^;Gu$qN3Yk5qzpnsO4t$MnW}f&~;DFukqQ#pA82AmLHp+lcVUuP-kCsF(mJcJd};+ z%1O2C8=FD}*b?T*1Fc%Kpk_$G$L(l{`ni8LnAS!HvI1QELI{(a-2_UdRHhscam=kU z*CXGos5*V0*SCD}fOyzN^K1FGZmVa?CC3KIt7|fE&0Zd?P_uPuB@v=n%JF$$AgsT0u;#+$i z&61Z!czUeFna>th6J-k0!3YAs2OBp>Xq^q=15*6{?x#8JUop9i{J^&w#POH(0MmAP zgun|tz+Qh@Vi1%Etq`64753{T6>b<{KQ2&YTF1BMWcc2uca3VoJ2hu(yb?oPFZTRO z0iGDoaFx3Is^$;!CaE(Dw`epUv`YYONA_zQdOUUjv$t>i+b;{)^mDcf9n0IQWNi!% zokLYtF9fd7BSPnM=m`c89RnxUj^n#3ePz?;Ok6yHkP6d=ER0p3Qap^Y5T(8W13>UYO8%YpoDeKlxNfN@3l5B ziWm&BK0*G;<=R(AHJ5BD#8tyvx$jmvJyXi#V%eChj*42n$KQi{e=;;oM3xvoOa4A!$ZYUFq8s`csoP{Dx_6i zxtTNw!pCT zdh9igek-qr?ES~-H!RF~wED*=GGx=?_lNzj$0@Z7d<;uHyT%T>Cgrf4s|uIVr+B}q zZNA)aZ9gEKJ8^-uKX2b<|TZDhK1Ej z>{hbJT^he1H%&}+@jJqvJdRg_H1wKH=Dd>zxQlB^=y`*@qn$5CVuuf`&5YkkwV|JS zQO;bhKJf~3#ax~54@!AyoVRQoSED{NIXAekQd#ZN|H83mOK$n=VGq1aj1M{8K1#Yy z9OZ|3?_;P<&oaT7*%QoJP#@+q@TXqX2q~aI`f!(xlvZh5PK6GcR%P%_SL0mFHC|8zvg#y0UE)>^BbANyenTIsYr-OT**&c?KtHP5Bd4E%F(q z=7h(lm8~j6V%N6o@BRvYXa}Rx+`Y_&?ChQ?$?EaFVJBbsSzUn5(Y-!TU)}$v-FLD@ zx7UJWC=4K5-!ai#k*$Q z5>_c6%}*(QNEexV3;^IUFQSBiJ|V6Jk-dyVso%h(1;gyi%{QjDRLTF~N;<@o6Rhxj zlw8qLffF8$w{EHJR9`=c37vk?m_nfyeRmx-TxGyUhNk{CrT^!`1RDRA-|T)YCf#d# zz)AVek1%}=Pq&<2aTk9T6!wq zF!uR?Q^L+Ue+5th2wE1yvHg<8w7(R|`zH9q z2P`+a(%;1S>akp^)z2dX7YH|4B%80KVjJT8yE1nfyh~L@{n}9ub-j1E?3^A>Z%(y_ zTVW!Nq_PxgIkTdrvU=L+HQ!imT^WlXGK?Q*GQ;%I)IW;J*ra+zP;pIO$c1U_PQE%` zES`3H=8|Eqllg1ca&a(~HZNRzfHn5dYJ!@{FiGz{doxG}D^&*neef-n&*05@Nbb1% z2gfSjkH#icEuZoTR0>HSbr4K1OZ;y$oqfN4(a2Tz7xK7&4V7g&1wr zpFIoolUH{(sky3B%E8CT&n-Fdq}NcrQrUm}l5c-n?18ATne|IYWsmKPeBRrdRxB== zuAj{Kdw&`ph1wjaaEWA~N@hH(_69Sy=G)rftB+fig1Ith%)fF2RFS%QZe8j=(QeXV zz(+!ypYH!05dbsy>Dz?K_0PSv&pUiCVSXM%u-lnD15dv_P-9YTfc~zT4q>cBL^D+) z`xx4k`|2#Jj)OGKs^0vJq{YWj3ui$Sbve(!yw@^6r(0{lJa0G+q7=VxDzI?p7HDa; zM)8JiQY}aUDfO#76ad=d;~LIPrT4WPGEeZb!S-M3I{c1;3O3t67*~d3F<%D9S*E|& zke@k%7k`21cvLTc1@9R8zPxs?NrqNpn-A6q1<147_;p2JFBnRM+$;oFTES9D<`j4 zrx`-M(ofm_XBx2P)lROTl9lAmTr@%&Y;@Bc8;Of)f907u!x?zH_EFB_ZxILR4KzYb z;OgF=ACd%1aMdDju%ZN){s>9?z{aNA9tMW?61p>uI zH2S9_kTfQUEzyzl>vRf~WS2p%e!jK9yKk7^+~g(g#8fN7h=ssEjF{&eQuH3C*HsRi zR3BvNfquIk7+s`L_0@`z-o>&=%ULAOL}f$YEYc~!DW@kxZDzOEtD1He>AiLYZ4VeICxqgSjU` zN77@f0_j=ss5VBAbuNmG%O`dGzN;Q*8Z`$2r^Sy_J-;t5uuEiL{C<2gRo&}f2p3W^8<&S&B1ebfF-t1oZntq@1iO`PBx{Ag5ab{hSLqR=Y1KUDlkavvZttR> zG=Zy_t4z`{+;V5EI>w?HlMON$*N5HUM@0tuF5dOBTt_7@^{BVs4OaLENE~d7em3Iz z)#BUJNz?Sco2CcbAnxBY)L+}n|9t_bhfS(HjNiWn>^@2c-C7zrWcSWl??|A~8o~ZO zaq+xw@UE50d)d37ekA6L9m zHW5#Mn(MFdbpMzaPOCuVgJ{EEE!W+Q*wsIOt>6Oqf)tgZEF{Y`$Fv~`r+XojTHRjAOB3)vU|~G=q~qMzN+1EyXqbqKdqH z{4M&7tn;U&^7;o-LHx%~Ym_dt0zth(2Q4e79inSI9ffK@R=m#&_@RS7%i1+0x?+ZS z04k-Qxf-IyD?&z8=w`6%??&&uCT>buxGow|*Z&}wY;SJ{0$<2=c%uC~;w#6tBsE-4 zg|EGOXYj3jAIj~3k(yQUFBhYg(|E11+ zGh=XCvx>ZjK#{|EKcoD)1RCkFtSmo1P$4yK>Af&cfj}tpv^Zzdc&c`lUA{rArs>aO zHAUh~Euu`QvH2XDYrjo3Gar1Ua~H9PECEsN><2C#;7DQ`%vGi+@aq z^IbwZy-W&?WKQ)xP0*0s59@qOSo)yx=O>!(9R~@ZmEgI%iJ;B{fnV6~U_`3c(O3AT zfjkbYdvgKCG241}51pyj(JFGu>gqBWEQRAH<-8btvcc^C2EgDa$MFEB5h%Yr497&uuTPD4t z!em^H;?OJ@T!z=KJQ!-8+SU`GLkMEK;eqZOs8_2$0My?qKBm`!_beEN58q4JqzY(h zKKt%e<`TEWfKzI-3A4kPq#lMSi+BBK4#jr2RZ|NQN;CDp-z=_sWOTd(P!WA_%XTYL zqonOX5`YVSPJUoai0Gpf#zChV*ddi(Yy$3!PW>UqTYnc%sBpz6b6bHABU^L!#1mP6TjvuwbyqmBocS3^9t?ju9` zE4)|a6?-i#ZokBHk=5ymf)Pt@F5rT#{YU~Xv*KM}3oG!1FXU{I$3EJ%tFAbaJSs(SMzTN$z0h)Ix zhbiZYb@0-whWs4zcN2p-zQq}5uu4G6IN%`k6u2Lr7zr&3g?ezd3OK+h_DMaz0%{uN z{2y{{Zhlne^WhDs9+~f)H(jWMOqc|uT#9S&8S`%B@v3i!H^nxcy03H2%=79uU*1|J z89)$*HK^_6y;4m!d!EV>atV#KbC!yUZm)(RL8(zHz5P|-gP(2D3BSL6Xs*r^nfG{> z>B*OY$rE6*rZCaDPmfs3kc&p(H$0d6pW#ylP!pF5b-mK4Nven7w;(!mL%~a1uoY;e zW=Kx^(M7n1_zhnp@a|s2CMXFnx;reLJ?-4>jXqIyYagTh;k#fOsXM4I3Qj|v=hBEb zkW0xDoWd@U{;0sAvEyr#6VqY^Zs*4wT-NUaMLGik7r(_miR)16Jo>Xmnh;Z79THNg zMS8&M#r@2*ko0}0x#6Izi=m0puqM|Scha11Axx8Ur67Ffi|r=$%WQC!HewtpgXlurKRMQ_ zZzhf^_BGlG{9ZSA-xj-%?r8RxH2T^mNmKFZA)D-EN9@t@DODP?0;P>hAk5u;gvf4~ zS=wk)MI36R>F*it}b0Ti+khe0n{5+Su?!-5f{EQlF5~cFRKuP#X zh}#9?HpEv6LCnGRpdseq+TBExvW$bfg; znY^YMtOj04E2VVl?)Tm9NMxyf_|J;@jF)_Svi@Mxi-hbD&;RliG6e|Ugb+SXJ?F11 z`T|&DE1QmX!=>*u5dUeUw^nuWb=cp*>)clRG)D@9B)!-i>4rSXW9w_XG$y_;at5hk zlo|?mNA??aca-LFWagNf8MKzeqqTYR*L9yn;4O+5NFaB`r5fy3QD1F;@&@-CQof^> zuizU;Fp5ERZBTiOGh>8wgHFFRZoL&T-u^~5*+Q9OL;ts-UuYvD#(NsP3UC+9L2Y_ z`uR*A35)t$|rkF9zA5zhV(?B_IR2BhwpIV z>TY3fU)D`h4K`EAc|TLDJ>qC`nJBk7=70NArNQ%!fHN<^XHvs5s7~t(?Jp#*P2>~( z-~K~3GhR|+GVTkQT!)DcW)EuVMn$BT$xD4Jg|T*N&!kZ`kh0S3jJ^&>kI&T;53_?e zybKaanmk#l%-c5&^OenWD6CGe9UI zG~NAxz6Pse;7u82kJybPAH_f9-P7)Esd2r>8LtR!HD^05FWRK#__^*dUp=r(I4|Z_ z%81cy|6iQNe=^_ypZfb_so9tObmC$?(c5gdw2UhhdAR`pF6Ef(gXK^0V6f(_g&+G*wquHeW(%F7qCHmxQwpP15s&_>R%Eo}L&q?$4#V2%8<>E_HnQc5WZc2Y^h1?+ql9 zV<)WFuL&nsKk}uPdp(_kFKrHh2D(h~Qm=Jt{dsRhoq?F223S@<24ES2+nNX6mcqdu zTFZb$?sgzCYYa1hTCOc$f4}d&PZARm7PN^{FJjwq1c=mlQcJMB9kboKYCgdlxNfM{8(@r`xkn;R;x*l z?eR*C0BAMWrpu2dDN;nxm)Xr!MeR)rT0A_f0p~wgP-UevzN|?RY zdF21>dTo+n?xVZrhRPaG2dq?Jasw*6Pm24r6TtMB!@+=$7$$>b>h~F>nYwwt!$woT z-kP}#k5|5I%Zl_BpgkyhHZ=`wi<^13#<~wPij6f7Tfsu zNgKxVMoY28);#H_bbrU2)LGb?(nTJ+MU{-){BZg0E$?1etq#C@A5P=+ss3VJ+ry2| zlAs=6?$7-ArofwWV4J1kCCx_>05mlqbVXULTTQFkD9V)2ZNx~*ai=sja*|{t7(5VK z$$DBt^W5Fnr=6vW|67;mLLn)xzm1`dHi-2yh?i_JmO48f$M-PP{`-yPyiccUWFxeu z`gElBZ=c+VQ0N_^5%PE~vNk?Vt5yEBr}o46{NVwJfTYCJ?X{Hn)NBA}m;L(sFp-Wc z;hj7l`mkApYljBWdhBji(jKcIIaXscV!{%UT*HOuo;>SOaFTdH{+bKE?Z)l%p}8Db z5W}~lIxsff6twYk&qdL=Br=#)0=l4O?-dGo1kWi)`07L;77ZJw4SsnJpkrl5+n|ey zL+|o~AyBv_AC%^+wCCY9ACLBfocY+Ad(O(fUtf!L2bGf${qEDh~X*j1;BQoPoO zptW3rM`ow#77jk~%96-eUesN}F*RTKp)Sb*GP-gZrKMQ#x0OFeV?VTyi}>mB_xBg*6nq3OJpnZR|k zL64e`%gsh@ce5-{>WGL5jy9MqjJ1G#Ae~rc;CW-P+-UvIgZKY!NOo>+1 z_E>Doi~&z6#wVyTJ@x31oc>K$QX$ga@Ss*s2HR6&*?LOiQs~W=O8X$@UC|hcwDWHC z9r+~Z`*nPx3kpB2={|#xQX%VB_rq{|vENc@zQ}(0=5sU1F(P=^W|Fsxm?*|`5P)bV z_qYaG8jrc6K5*Aa!ddkg5n6`2S?F?J>o^Hs*n9tlUNmkQE zZPqRPVVBtP4X#~%<;p4b@)*<0aqZb(E2&+#+-6C#7l+)NtG4V^d3p%W1l z0hS7SsNy$8q5o8E?wj)q&>R6SbVRe%kXNID|4w!zACV*JCOVNXe=HC^DFjyv#1~+O zd2KTB*}kfGU2*TS?{W=s(X1^it?Sy%pYwD6_5|zc4$n@!9=W1>;AS7S+>Y>LmW^Af zENsOmKT@3LCTbD{g47F%W)gihE-JvfUwaAoNVLdngnQJbpB+}ylm_&IkRWeLq(RpoqJMt6

EYW7YQ z3|^9J6KWt_8?+cYesce-Bu2Ted5y1Z%h(XBv>d;+m=dswxq-VA<}H9B@z}?#5Zw&b zsI!7I*28sYq+^MilU`EQ6IvAX8X-F}wx2Hf+iSa4wJEn#ZXu#3j7enePp+^J&Y0`z z*qz$Q2&b0iIAq-CCtA$o3UWh@-<%8lp4~q)4ERy!RziOx9!n3qa)Ynnc@n6SW9zT1 z5@OSuiPQ9d371a)Na+%1LfcSaf+XFOBR=!Nk1L-PbsHj9j@_3!^P+~iu6m^F!+^Ng z)#(MYf}V~h0+50|Nx=>?-5VI}01<`SQg2Fp#STM*aQe3%F6E$URZlDe za8L&(ICFG~IF&MlTD3IXpj`#!`IFgy-#1Jfu==4dX2&p0)^<#g-LAV(dNHW!P`u1@ zwW=DtBjj6eTVscY@LV4G?drSq^T&fF_S~u2%too?S{6Be$z#XJbRrj#ZUAvkjAvDv z0rW$et8wwjMSpchVFwR>CvvLx=D8N~pj(g}CiTkA=)Ly-%F&?naDx^3$9{Shei?}7tn zMDe!DMG`ATsd96c#iuPx^n4Cx^|ySO{sfh+YbC2Vq{2o@7CmOICel1?2{ynG89grD z$N8PcZ3`}=^@brfG@#%&+}z-2f>&Q{9I7Ff_aSEk{pDme2%m=D@S}V9`eE)XloqT& zv3GECj8S>(>Y3qDh^o^PgAX&bCTNGx9Z^LH5+SjmdaWN%~k~BWOsFkTQ1WWe3kyu@4S|@j0FnUj#STx8ZORg zZm>ST7iMCZ7av7w5Z#%$V`scH)iZGA(iUaou!lthQfIauk7hcXy!un+Eg|nVn%Rgq z#2SV{2RM*@9-i`KIhW6Ap9+#>N!&r3?>Zk4Q%4fE-737H7jlTvfaZF;6 zQe?v#oBCRd#enq|@O;SsfZHELq)t0eSoQ988-Oixso^DC_|)L1C?i27Yib)J{6Tcq z5(_i&^dcq>7dpK^*4IY<)?(tK>AlW@$e7Wd0laJ>x9|!s^NxWOV8>?!q1`FeVoWMp zHp8nAnZ$8lk}0>6@kBGVb{MhdS471=4?3_&Mw?feDGH1pPmjjd9=1Xy};< z>3uuB$W4SYDmOkRZEoN~jZ|~yx$QC2vN(mtae;6vLw34ruqkN0?r)At*C(HG7eL2r zBmqYq0X3n7b44G}2{&Rl4D6kvy+>MukTFm*Ga1DU-50V<$xN##GUOs*(=bRk4)G6l z^r7zjspB}&Y0&>qU>L&%`AO#0^X=p3v{_GKHiwMqqlmqAGD>hisRf;*^?d^f0RCw1-!hm?Yny&SjtKcr(w) zzS9rwjK=aFWBZ|NgEE%$tmMi^_*=&<`YD-fn0G2G)Bkw5 zmEApbXxd;*CH^iwIV-WpvD}~DJL3O#rne_GEjGig@Fn}ri>tjd4jr(}yts1E>cd4@ z*Jy)f=YvQYnj#gHHBB0QhLOL_%20a1OHH>zqfB}cU_^hi`Bv@ZgBh>0NVxb8`$L-M z?63ij8k#?c_lCa7lR^~l!|xvXt7)yrWR>u~WbpQ-_bxa=Fd&G)<{;Q5)$&ex{H@_L zHQ+LAbs~fn+_WcWZb;{GfA1E{=TXb~wJRBVI$sa6?bZp7JnmSSZi_9_ zRd*aOZPK&s?tE|m8oY*Rd*Mi+O#!qAki+ROC6H6lWPBSl6Y@q*O;8TxZc+ zxK`>z=nY2(&l}K?M<9z&2kxSK3DdQZc%&rb;F*`L!dcT3#Dj^HDCSPoq4ke9J2|4@ zXHw&gE*GqHjgB%4L&9OH5T7Y>2JggZ9i8~`UA!DNlD^6wVT`qWSIYN9zx+Y$kNZCUFzo}zerOHy~XZ? z9zmjis1y~kdN#X1v;=aRf>2G@sm0w0EzkiQK@10>LM_Gq=KD-fr|()Abhhi2ai#12 zVPBjzH$ACni$hwh2`VCv3bq6#1~}a1HQmoAZ~7+S=rWa0q)1Qhr%x`R!4(BV3%qTj zR3ih=+bzzwkJ9Hhx(zsYD;5UnoG*fgMYz31l(+9ZuevhGU2?m~qT#e%cU#m|cz(q~ z*8dh#Wa~-ff$9)GzG*~~TL@<{czxw%X4>X+BI8*!XJQ;aQaT9t#os*c%bFMT0e4H3 zRx``YTo*cL^mJQ`?nW$6+JVHeL(z1tIyQbTpHK+l3XfTY`A?yn&)#X5?Lrqi zFFCY`_?cxkg+OOGMZzHizYbW$RWB^=uSlIquBIORNmq`jTcZPa-kr=)9TY&c@M9NF zr<#5bKq54@f}lFQi5jerx?^Pa3hVxqf&Cqnt|k%-GXkpLZBtM*I&$)%Z%qW+O3l~M z9CVhIYmzviaDg3BYhDe`B1W%~k)uPw@&$T5KOBZkUq{U~M8Ts!$BmM9Nw-+Q34{Hc z_Xt|dnY(03(78`c{yLJl=zH|}X7UKx=!I&8a2o{sQFNnz6lHPTb^X%4y52Q-APe~$%lV*=>jSdgwW1U1m8q%bqaZlp?291kdyMxShtOHO zfntvslAX+1Hw_}(021zmD_Z!Gx`5qi-es?!sCc%nFV3G*MbBXnt6_-6B-nUL3|y6aiUSjjI-QZ81hsCa$il12G1dyrn<{4G9|%)f zL>g|^%oG(eFWG?nVUW6sg@8j|(EEVCYim0|4h}U1p6A09o78gxUE~_di$)D z+=P6e^sV(tR3|DB?sTm^l!qYz0#OBgt`VL>o5h|g5wmV;cx|k=9zA7Ca2F}?y?p`I zP-MbhUOe?3=7e=W^%zX;Km$FMSkuYIjp9JQ*q^4K*Oj_?iA|ho3G#CV;Jvy1tEKtYX4{dMT1DR znJtKzqtdQYl93XtZ|IQN*WX`MW&_p`XTTM*##z?e`{g-7Ct%U-dMemEs zNUCYh3a{G)^GcPN5){9qdV-8+x?sDOJuRO~wPjEGW^S|pUyO{bJ zH|K8tJMF$}QbsvH7s zRElKfAgRapIg!^{(5B|ZKGtk$o=#NTznA$WA+*?IY)Vds>Y7&qoll2hJ&t~RZT3$w zbU5@I!h~DvVh2XBbxiC0mws%I!6B@|*BJd>)I0G)Iy+W}oWEZ6QmMegH9{ws-{M|P z&Asx&KSk8GF+-B)%Qto1h_B6j2-nUl#&C|GB%BP!X$0UQjAI3ZYMr|H`Q7Y?w09bb z*X$-R|59oi!)RZWWu^y3sF+K!`gD9_v&3AxF}Zv*j%=1rpa1z4t$o+Q_Hz@)f4p!E4gK}@9WHSU zw3##rTcNEt=U#P}DumDM<2fCby!!-^q&8=7bY|mM+1Q7;37twrWrPXe{>H#wgF8!# zWB5h$elYBk_SY9O+!l&GixNvFNxpp)#vS{mi&Tx}YalO$e*I{R(A%;-euL__elx&_ zJVPT(c{Xsd1-@gfb!87_8e@pDKGcH0G;TUS0n;aQPnua}!CqX*7A-xhU9GZf~|AC^v+@-zL+(wHqR#Se!IkY%CV5= zsHpK`X4qS_wH73G5@l2tlb0g%Um${nfsL0is6{>nJ;(w2`a0K_WGr=xIc1*G zy_kp&ScicZ-De6V8V>cSE)3`Ww^d@W?7Vz(HWZ;F42pbl(GU!Y8_X+S z-6n1}F;EaE2=ZyFAGC=ANY$CAg!T0#iQw-*snf+Eol=<1^6(^Y>)j4b;Tl!4{eD zkIot0l&bq^ab4+O;rF}cO?L`s235H;bkZg3e6wexOoARn=Zs}QhJ~%OKJ8@-Hsl9b z?9?Rmeo9+OtrmNBVG%WTNK+kn`SSH^^@`7)+&lhEailgeaPiA>PSD7(=+@A$@_r!5 zkSi}fE!Kj89ltIb?|vy&`$e=*@LY#iORmz(wxDeGJXGwQ4zcMxnlGg5y7ELJM$7Fj zLvG#2Q|Y6TW;dXjSJm~nRG{$DU__gPPbu*(be38#N*`3vc^?~3G(8TlWjYc;TS$NI zvRTPRal|}rXot3%r4~LIB&s{LyPA4eU zGa;qwI?^M#|9b4PAjU4>l92K4R2gV>{<^cz8kh5HSiQ=E%xBA+vZ~_4R&K@M0Or5+ zn)d>e)N%B?yeR@ugLBvrcZF`;`lYk+gt2(ypQpY{&n6jzOxhK$fJ2}Rdh~l0&ZtkM z`_8<6kfc3L+ zTtagjFLII3;cQ6$&S9KO4xF;vh6Rq$In0a_)HaQ&c;h_M;b}(!u;t2jlBL|q8eUz2 zjVd@aEwZ-wHyx71)?WgB^(dwQ-CBtnre>K4+t11gN{SI|g76!RxziNcFiXy-Gz@VJ z(7el0TF>fme{h=HzD+99LB}4HFm9Lr0sh2Q#)MJcdcEbq3}e}OY8>MK?#GA}i?x)S zkStq0W#=~nM^g!`EiHo{4~6{GP3j&!$Su=lErhcAe8BmQ+PCqHak$j1?Ov&VOEmNv zRKtd4ov>!T%#Pe_sGRIy^0Y9Hdf`FS36Wy@RRlm zqQ8NCVo3RjF?vTN;1#5ZCn{|JHXHS6T7)Q`DjeK`xI$o*?9N&9f2ZiHiEo#P;=U^C z4e#@hN@pj~(!Y-8zIn$(A6&|z_b$7D212hoX_2b5Trk~4`8MK$h@@7vB?;d&Q}*ah zar-MQ{-O$tD0!|dW;I$BL@&0VRR7&f+0DTp|2FK##;Mf4jbOmz+Nq#@rmW?#KVCQ( zR`NC@ouB(82q2*nz$&PcpZFGD3?!`4WL)_ik-ActUT0Ljtg#}YVhkU=ZI%rv$Pyq% zAftQLqpC9+vwr{Fd&s?63R`L9F#mZpI~I(5E9&|v0Tq%`YbCvQ{_2(51xxc>!QqU_4Z=8{= zyHUUnL4#JEX-$zsxR_mhGrIWys?nhr4{yblJFzd%vI^3xJ??Jk>)Dm>|VS-H8gY)<4Gdk-5v+QbmFroNMLBEy|<`V75jJP=rbvJ&am)jT7XS+O!Jo(5#3-#J{Z)ZCUsiCd++10B(K*2;~&L< zbB3h59xWMW$H!M`Ov#>L$nDrfLc3G>xkANtkT|7+i3VEu{r5`C^zgO3Fi}-Fl6*(_ z-6fbMa}`7WKT3&pmtf@c>C69-Ey}O1-~4iZ^#@&CTJcg+>lVv+ejZd>_)=<>9%9!+ zF)#P-5Fk{cdMomjij8=yK~^d8H}A?LNU6Of3eQzHa{ZFF1)|OJX{`MA$|KATCFKYG zvbFFP#Iy|V5E}S9*rzL3#-E0p}crPdKVBx`&Fb+bhZP=Ru-R4ZiW| zlA8pkfh_(ZPAM`%dgD+WMd_v;9xegdI*x=>_1bT%)yVUo&TeCRHn|^@ct_m2-a=umxc+4JLnJ6mLGVCMNWE#nVu&L==Q33{{$zl9C!ef;)f3NBZfTiJxw}Rd$$NX=us;7)?CoA5@g&R{uEl9Cf}l&dP}2811EdD3 zZT>s9`!o3Q4Y~NKuh#jsL5MVip<~qVSNANbk@Z6jcj@iLv!xstIk36ziut&47N6{8 zVu8(N=k2+MM}Bt0rk(qDXenVNK)B;P*iJV^q^U+#K3Kx>p8S|jQLdU6KMz;1gSUIu z-bnnQPi>*=xLl~^GK@C~k-P)+Zx$MqdLMRk`aOr#1mYZ2e&iaHkR$rvBr!Kndf85Q zsx0P3uciauoX!}}wHrn8IH4O4Eu1wsl*=<1l-zh;R$=1}^KS2!Cerdx6O-lYcLu{Z zK5HMmk>bxqK!8$Ge={py-QY-o)xKDMvc7c1EJ`|rjemZeW0^yO!I7mJ$ z;@^w>#Xu`-$H%oO$`W)uKTGwD81dZPqgw=Psut0$G0XE)@V;i6hE*{0ee&~?ehOY=w0Jyx*8f3!@AG%LccQ(lI;&J(I}7w@L7c}eDb!!o zw%Xv|qpmvN_PQQPmXv$zdwaKp_8Q?bg;bp-lZtMZlC9ZyIn0bmIk^Y&ZWB~gBkeIl zA%Qq!?3I^R{W*jPRF_42@tLLPFzeQUeZsa)vEUPgFq%RRod=gYHR zD|E33Dl7_hV7FiIs^ld9n_qapILFQ}{-VDTHct5+6pkFFWnab_aFdX`;ZgV?Bj9 z^+x}A&Z@n^XGT*&W4==j&h_t+@s(xszF0xehqpBZ+kR-Tr(LxZw?d`19`^bcNRW+5zsZL)0WX;h0K_mKZIe`R`9 zTHedOwvXuN$Ob_RL8}JQI{Ps{Q@=&EFAx78SKl2^b^QOEgd|QOBP%0RI3$~M$f|@; zDO-wU&&*@*y|P!fvO?L%-m>>P&awC5;NYC&e)PTH`@8r4>A~aS@c6u6pXYi#-$BK9 ziUXTSrC-F5wbFWZqyaFg`-PtGrG^8DGn3bI&Oc|MRd^f5jMqWron93WuqlGS%C2<& zEVSn%%+Y(!*FP!Peb&-n^G$q`vj(O$q+J4q)NJg3*yMF^7h4=R?2;L5SH%UKo@Vv1 z$!wSgLpbDR9?9R&0s#a_wU17rT445F_F<{YrFko-*4O@mzEnY$qt06{=W@ zuByB!FGsP>=teDNU$Lgwe>s_*ex<;`$p_>+NPo1->eitQ6XPt{ZG8BHe_{W*ago+b>>Am0 zF94pKb$MKQ$>PnR{CwjNW`y&vhnzUZO0hb5W#En0%#@LvQerGtr||@x#okcq-&0LRHD#84+$8Q9BzC zOlNs0(?PVK^f9vOyOGb}r%Jq~ws_=^F6U%pdmYBI_G0EPtJj~P#(BrpwO6B?0__9-F5{j> z5A(M~EpLjJuDK7jtBjJp+y5#&KS2TjpY!!WJ8OSH!=wC`>DYG!oSe8Qk(^fZD|+`_W4)El=tn(T*-G~-UZ_f z*e2^3_eA&EI5H-gyddgHsGKty@ut$F%HP&J9wBfXv`_2n!<;4-7{L1A^j$hqHI%l( zTlevMr6(cjwyrI?3+ljA>~S$ff?e>Rdp4w_j9&Yo@bqEDZm6l!*`Tn3VjXH+zRQeE z1{bu+WQeublT^&8%cod!dH82wb|*VTYG zM~%mJx4jex5z4Z=TX^uaWYqnj2KKxHD2m_O1Gc5EvPmcxf#{siDQoSix7EUP%+7JK zgHl^~&OIjA>#yW&fF+$t4=!`hg#-@>JvWrYjCc>frrVyk^lqD-BZJ9c+3lEYTp@)84)hq zpa2g?_=p(h#M#m~i}C4?MM)v^$4kFfX1>hZGA*7Z1+WU^@}5uyawP3aA^d=1hg;{G zD8u5c@{mF~KbBXz?(=um3RVuxSuW&Or{0N&YVJckd^w@HD3s#hdsYkPYV{kd=J%5W z&PxFj(iJh**+)Ze#;L&ue8VbMtq;>eGZs%Dv3F;KMa@5rhMeajdnrKiQ+M4d{rU_n zm*qg`*h5n8Mp_u*T__Zlk0_A!MFxOvCbYtTnX6;!ZmZPMuBOCFcnADU`yMQFqM1^< z&^+c5rSm!P#>(P1<$=MIyhQjoIDKj=TunCqL)@pb$p)fo>{L?qUcuz_%dOG=NI@

LL&!zTWWtO99eS?<#Ovy4Y$j)e-Xm!wa#Z zO!P6Su9YyAIb08VID3bh;k2csna}8T;XlH`Y5VTrrQbZFDFgwcyy7Jx=Rg^4=R=H0 zR5TTZQogyVaNLpa=R7N4*%{>(p4-SRn5pnZvQcBWy-*?+)>-|FLi|eDx>n-lxm4;B8dx=NY1Gle328BzjpX#w_uNO4kG8hWFoi&wkXKwCC zwSN$6w+^q|FWs557*rnp=R4q}NIoXJB9VdzYMSMxVkY*v%VZsN7hQ#yO8lG{tkuEK z%*Dvjc0b{sNgkW)ZKeo6L*ek!o-IIvOg%uWzjdU(GYksn4)rE+PxvuaB6FVL~l`_FuOF{WZ2(06k=#@@F*r zo4cHxQy!Q~@XnAq#*$r}5{6Ih$U*bB*fs`T%fd=shqb)aU(MGjL;=4%&Ip&N)H3NG zgJ&?p(dqhK`d2T#hX%bh9&rGGY>%Z_elTIrWesGWDQ%Nf*<267Fxd}W8T_M;!Kp%* zJnqS&xoM8};zWH?y75FWG1QB}ljP48yJFK2*V$aG7P1Ybj0+3k-BMSE6B&0UFyjMR z7zM8$dBZj})*8rEnEr0&@xf0U)-S@IuXrIJ->Gj5=eL{DeK3aUjEEr+vZr~QBtmt< ziGtH0k9);8G6kn`;!7nh6?RgAV1il`8T?T@1iAB)?n&>5+i0@@6W{Ux5XHH3Yaiv8 z!tbUC^C*vH+Mj3l8!ixxF?@nc$TZ6khD2u~Uh1+zzUJbGz`b7CbnyW7YaMXEhI6is!=hn zv{7dt+KSI@c;Y_cGGgJEwCd{RuG?2Gk|3QR*reN(YrpJ?~t}TT0 zwfgQ%(I9)a_{aDfiosF9k2^EG4E*K~s&w!iuu+F!m}p&+i;A}%GdqQ=YV7MT$s2FM zL*G`ztio%p*MaBu_s`m>ShurBzip&*gN^PkbC^$XV}mfy7z$!+=8*+<2+xuy9kEGkQ=mB!eU&cCW)(mWqyup`(tg z!U|-dS&5oARtGVE{MBiAZ*J7ofP)G$|BnvL7+?TPIP{@iuyHuycUvLJzs+V;l6Yqq zE7vcp=lzpjqk|&4Vf0rCYa!F$I`93TVzmZo1aDgn2xW14fHk^A9}X0zrswVQx z`Qv3iiJs$Z2fj8l@S??H;*>1az_eK}%uVK%0M?ou2+?A&7nbCWI@OxP4cwD1WlZS; zCIL-%?<5L`xKnoCvhh{&_6yLD&QCmc3VC085x z+S(a!bQ&aGBQy845I<4`4Lsj$Ibl$ST1AFa$;kQTj=w{GhD=-n9vN#`UL&nJW_T+K zE`JLy%xeFEN6UIxvJSUqShIz^RU6V4d?^Vtm&!nf9hhP#?H%!57Q{U76n))nBqa zkpq!Lu~2qq3b|8+mM;yiMuvdtSv+&XN@0GiA4?0EqG$oea`UEb`+1(rW-<+9^&(jy z1Z=ip()9LxGhr}yE7Xj!j^pAKipow@fDgQ8n)ozOyftvHx*<{PRF||Ns^n<|LNyBb zYC{{;j;sYo#mdGA?Bh|Zj)ag!(WPy;s+$AF0juq_eWK;3q}+DT<%f3wwkMUHQs;UJ z>RyCXxScFX-m&>GL83xMg%=RK8%Y}2L<~7`zhL0;o=`}-KAN%RTT%*aMNg@>-n!$> zb6=kKAxE9gw8oKQ)7B#(Ou@avWUc$*6;HaF)iSqLff~p6i@R>ljq@AS2_+^LEV$BW z68alr%($f$x-8q`d#M85pA3;8QWyLHbbp}9 z&RSjC3}=BM;egoxbMwKUTl)KmXqOH9Zvop>Cr<8me>PrM!90%7MnQQ&(bBASlF9}y z*tyRx*-{5TMdiPNJ@}i(To030Dl15IU9)2K8n@$Q9IJyreASwj2L1!*_gc7M9@tmq z$OI7Qrd;`%yjn+-)!i!9siaX3cD~}q7bK8UN+o_!g5JdQkvOgCZidXV5p>McZRM@k z628`a-AHB8By>v{ejLF|H*4_vUUyM@fOJVj6;E1c5v+3QmuSQ{)^GP^1n_ZF3m+$^ zee_R;zgq2TsTJDbCQteXyDO*TG9A^Qd%Vjz!TBw|d4Ib2ArQ`7A4=@(td}SG4uEKq>o;tItt&`((WLLJYUSJJzqL%n8$E zG*Q?`|Go!kTb216l;xCM=K>jTPJtPF#6R6+%-FW=vSVjjCRW$+k~wD9>`r~^gwnzEcdCZbJAJe?E(u_ z3Cr<@A>A``E3bS*mDD}3$MmBkk8I7+WLq64M-5Yt%BHH+EseZhOLZMu<}Efh){9QI zmPb_Rw>U38)~4n!@a_45v;BD^oS6G}WM#zVDF-vkwAk#g`dI9H+q7u;f77&EP4br_hJinBX_MgPM-22jwyUBC*e*m;{b-Z?kJ@L3D%70j9=Tc9)F=K1) z$kpEIwp?U(&z4?aHgn6Vgp3;{`10sgB-rht{mUWH9oKw}0}V%3HT>C2ee6>>gF?|l zE+7u^KB}FnRPlKCcZ0O{WEfJH55GT$;ib*L)Q#@mxsGRVbHIt7ZQUZ!;usD`j)2cd z?XkN^sQbEMl5o}>z}|K3>R%>NC1VlGn)RD3hxPe&nds5YrTpcOug=PBJbr^LpH#ML z*Wvr0hbLRfr9t6rOk&fnY7fKH37+YKOEC-E#nACCmYrpS+ABKyeH}Wv- zWuXp<5E0mm6YN)}$fI++b9rzK4RffvOTw>(ZY~lD;}It5j@PGUHvJZ;BrytcwsH3`rf5qcLm`$Q+s!b!uci$b+PRIJCI0puIG-fK zh}VvnX*^d8=B8aXRZBnIH)#KIZZ^Jl9OLqkOZ`h*0SCC=aE#5QO4Rj(m(@%g=<9>( z@&%m5G{4%WAMTIW{aGQhuD5b{_~uh<%tHXBmyx3w&XjknzdiU9KQ(H){Y`hYM$;h9 zB2fVCb@oq**_DD|Q$ZE`A|?#$5*m*Cw1YpMday;ucHZ%Gzb^lJ3V>D*0fd$xbsnjH z=6PMvE`5;FilrogYswM=dp5kHU-E3P|>)u^UP2p=Wr!-T5Ar73hKRyPjn?oax0XquZJ#yJeHu zfK7-VzspMh^L{rKzo1di7{vbS4qSMXbB$_L?aS}K$ z2Fu)K*tuby_EiT z^+6I=kpN5#MdQQSCl`Q~zFQBM!AL{8Y^1e^AOt|)IcY`{>Hw>Y(iXN`dS}9oDvr$( z-i*Z!I55Hv4yX6^e)nCVwGVmtrqcbO`!(kIf0QfVLJzHW&yzd*s@EKFw`DE|=%Cpx z?nN3n!1VZe;VZSPe_z2W^;UBBw163z%vOpd#573KaqqRV;h2-88`?aQr5TnS;A`n= zS9C~fX^Gh>t^D79y{2x*>N3Ek5c-7jDw>g;*!4Tht&^W`Q4V^&_rlsdr*VdpOVhu9 zo!o8;g^P-gJnbK?|3BGq;#l9LthqmD?>sdjvwuX%LpxMysoE( zC{m2`wQREO_wGPyPodz|#&scci1V!RL>eR+>&NmC63G|C7O`EB(47&H^<^f3&lG+J z-reL2-TLVk_v!_CUh&OpAAM-pQ}M@0q3yFrWJSh)oKN;u*(vE;Pv6gJ=pH{S?E3R1 zYzJ$CY8OGn`=3JG3Mty*x#fdrL{P?CmrpQg&9$bo1=v~gk<#mK(R z#(T+c@O^zNdj)mJkDTv1+rCN0#zcfpnKQZ>M;1&a)59ia;>nD#d#+)iA``Q)FMyuMm7#t1w8MY_>)>jqLjn zCy?ZuyX8Utco!|4nIqKX-5)UOV&ThRXql1Osh=80l8-i>a2%Vl@~I$v)T4aG@#zPC z<|wB@3aP5@k#2V9<@LxxA&b^GYp%s;oAD@|)IN7Jei-87R3!>|Fm#h~rA!}i*vO(T zWUkXj1KJ5cf*(>zSSG{g5wf2~_@`JtM9=!>b7w8UxC`IfoOuJGZAmc?ZNK7aE*RP0 z5XA-w`6S*U^ z6~1AcXZPrP=to7Kum>FK?C^Ju{hGuC9%hMb2wNEy5=LPv@O&`g$U_WqT((>f^Z#`r zaP%qR%;Lazk!_nf(lD_Lz`^&*}968N8EjnG+1?e2XNyZdEmd z=%|LV6Bd6_ISK=7U5}U=m9YBZ?nmcu!OJ95{wlc+9sXlt>!EdO%-@L&U0`a4$W@AN z1E%PM;OmQze>S0?4n|QUL^68Giqtc|222g++}&~l!-2mcw(Q3(_tkqgyhBb)5vC0u zztp#;HeC7?`nmiUY!^JdX@3IAoS<%Um|q`jFud(H4q|lH(D5jvhDTgd8mMU~eq_fm zyR81Aowc>?YlL8(nH~@^T||(xK5HK3`oBCc)+WDKH|Gj?nt;^Z0}I!AY{qietrju~ zh?~3#qE-+RmWDXF-gCQ-=Y75fN>Oa!rs-{vde^>KgCOsD815vciMid=hwGp+Q^18F ze=W0KOAjiW(Nv_I_@Ws(+q$+{F7t-hN$>kHV8%195ia`D%7a*OaNpYRO+8gvc8U zvz|!^K4w$#kY2#FGPmHaW2WM0wrYQOUPUK$>DTXmpoSBnE`~12h(q|Lr$qWkCR#j~ z8<2GWcfyAz=zmIMNYGARegbo4!nH%@O(p`W!nhu3ojn~3s`0VSlcb1}8FEIu!w@mY zkNHW!b?2GE_2OEt++(VVO`7%~Dk?`$lis5-CHmUZ>hE6|A%8%`zjVmz&x*bkz>(>t zVG;%r8D}C!RXK1e<@=!u{|ytF&0)|~tRmWNJU-)Wg(}Klzh8sCW@}>lN%T8~jVsvy zUHoNc@xl@zaXXOY=Gzelva>S!iH(~N<$2u3&ube`%dm63JF0KpSEtSOSRz!^$dhI! zU6MD7z`RE@?OU#%ySAY=o>?{13tI@x=>6tZ{lXrr0q)-iN>0;aHW+&Y_B6})YTI|8 zXAo=>4xH~^@1@G@_mf$>7J=UjT3D4h|H7TtP7;JVOujKt@i;aUt`4CpvWR}YXI?GO&`N8@bQ;Wj~sd`;) ztn6xKZk{1db=vO^6NEM4q~Y-1*{)Netq;o-4^~dLT{Nyw25sNZSPoL(e8QK8LpX4+ z4{zNy#<5BPA^1*$1O%HH`;plg5TKyF^{|FtJh12SkF6&<5*sz}={jsBG<)QeBqmm! z_YJRg#%}2D2fGb$eGAf?QF)IFtWDXd`1Hq1i-}N+*BdpQ-|W+BR6pBtz>oIT1#M}} zBPax2Q~hT{RCWSZwdJC;g{>ny+Wyd&8oNj`+_?#mG%Q$@^fIa_gBAXg-v>lD9xo{28Rm-QZd;-v@bETy>& zYFT$wTt1BEmdy+aRG7Avqm&vta*IiCQ*pqD-X(Ns*Iw!I9Ez00-!WuZdM6MW5Wkp5IcN85L7$tRs#u#@mJPc@|*-3jJz z5=i+$Xl$_``LVq8$b(k@DtJZs!@BB^5n}kqQ4Y7)i=mmw&dxqX-M_B{@bD>7kM9&h z8eduaPD37g*jvXGF^K{JnDEja;#Aq4N;!uCt_mW(d(CE3&1Id2me@LNKN~-_$gyZzkA>O;0@S2`#UffVt8A~} z@uK0)7;;t{L}*ah>?D~|xX`ZaQ3t)%)MV~j_&VM*3yww27~$A1H)u1cGuIEZj3{dc z>}J*mBG1}eV73$0r_Xk3W*@tAEe>|f`V00@WYoxrNW+R^B+hNVyK|`QES;4&%byoP zIHJnR%pF!iyW-F1B(OhKJ7lo5i6Md~hPee1>Y>$P8kwj~8R7H18T#GH_p9H~peE9Aspw4cr%b>a2x5SEFoo=~+V`)QdcPe%s>@^s+&}AddxkU~ zIqJ!dW60ThT3;{w*~eN}?}V>58M!N69`+5`hekDi=;l(o03v19 z@=!#{=SdM=qWe5OI5t4!!NimI1&1@LqtG4aw&OX0g(k>bBPL9B*yK9K;M+jP=vnJb z`gY9P8n|(vZkDN;#FJ&_32&l*zr{%dF^|nV3gTaMt8>J~u6vW!`=9T)w%FKC6Nku) z1KJPhsnD%GeUIIoAL^M*f|T+e6X+>)k`XCFLXdD5#dgLh_(k!*!cv`Cd)rB&@l^(% zf2n3-N0&Kjnm@L;U1;~Ey|j6kzNH=mk}1#Aiu&-S%k7v)bM}R9Q6Ihr2;JN9gUTj# zy;_jBpZCh9I>b-X-NZ9L>K#+UAnCP{uNQJE5eW8bV$=5NL8+v(-Rt&I;hpLN74_tr1{Eh}RK3)&~>x@qkKiKeD=$&Xy ztj_+?@w{ETTKMnc=T)k# zr}*tIq`Ob&=0hgBDTFe#Wt5V?@%b~?W_4GsDI<=h z*X+8RK%Qjm-Ys~pD#-NCWH3b##o3|@SVz8=k8@pyUnMT^K5P1{7=CxXec+h!ud^Ia zX2#csOtJnzI>eZo9qbPLb6cob`F^|6#_TQE_y;zrtP{$vG>xCBc(!G^s;frE^)wCf zbeUqJMJ-i6oh6(rj|B-)zY*)5JsvdiGgv6>M@0BtFjn=<%`af)lO85ooMTOKXO)9B zk~qJxT!MNrJ}uTz#KmgVKy5$aMx}xDv(PZYaF|VLj`qNv*`2WZ+{8br)Z76V!ETP_ ztRr2AVfMFWu%i@SQ*E@!{rAh{2T_PF5P0*Q`Z+Q5dI1^k`2`rRXID|kxtzWdRU5ba zrRvX*nIhmOsZ?A)3AQylsW4^gV}C5oUo9NxID=W8frD1s9i9t|Sl25EKTJP#K7dPM6WlObKa% z<3u*!t2M5<>(qR?ZZ;&@Ie)f_p6@?- z(GfC~%08A4r(dGC9rf;}MFMRijLJ68ES`oq0K8nRX4?k~W&URw@c7rGDmuAY*2M?0nC`HHd zLv7|4tUDHXCxf7)RkfavGJO}_%FIp1UO`%(FaD*Bnnmx8T##N|@?(^(dp)y-XWw~f z5MilpOp2;Sx$xM1i^&UjyB3%&=77{09b&>MV8Xl`8il4%D*$Eb7B}cqVj~ldIT+4qLlzEwl%kN0bGr^&d?SBq)!!C}UX3c!-@mhz zu72hI>vfIj=;{#xX`_KkefkMZQbZoL}qM+K{N$8NjoS+9L@8c-OlO>R+>o5HOpmK0Y9XDb`+SIoxWz*^XMJh z@{k0@gUQ$1FB;=zMqbimomv&IDsN#yT&ewEMs>$qyj?$td4Uw|<)|~x zM!&_|ryKlQx|P~kt47~My1A;#>Ozy@V$r63`T(SXZSg{usQMoCBv(X1QT2!k-LrDJ z5P}awn`w(<$S!S>u%`v7?gP`wYNwzf%e?0^L@^0=v68lAsm@(=M*$Z@gQ({>qD{gJ zEPu9kVI!muld{`nIu4?RJMy-BI)Bb&P4WNUjlIuepOP=;E`slMUU7E(Vw)IT{kc6~ zO|a0V6FP+we@0enDEjMdS*ks9^x*kvpo{j)F}MJ7ap2ozNKYP9(On#MH1?E`m4+d; zM=kTn$FV*tyQ8$0;Lu-DA}!p;>HeJggY)I)qH|gzPtVorghXks&28LbkBUIXv z8*!MEcsYKaUsQZ{879&xOhSKwqD=7N^(y2aZ#J{d-RQrn6wpZ(`GajmCdVb?4t^+P zG3A0f3o%<>%THMFojtk}M8}2(l7JD3ocI`Ve<(ov?Dnw|nwjf%V8Olhq*u-xmsALT z^{>MnLM1Ggehw``GwD4XFB-+xG(@f@2cwJbAZmH|y5tq~Fj)&M^4A?=mt;M)0hhDE zYi9_0xI$;P6{~Kj4)+Qkea9HStM)o0aGbDap@xrW8jOBg{VOwbzTWiN-ZwFbnz7J< zIczOZo69uH${>O;{d4|!?b1-9j3Rri67I5Y(TWjLa=+XQPllVSbFpUs%T-6QLmJ>H z7382r4o}dd^88<3e?z~D8Y2ZYYVAU6T%jqby9BN5Nul?%#sg{=rjC`)=sKRz4I7=P zPU_P@r$W!XjQg81LX!<*O3D}6CnT8p0`*Pg8qofsngkJag8ylC^~)injvDdN2)qQ47P(gJ(!0D&`Nu4}v6 zVApeF=DJ6^jis(|q)1Dob*%XCBNCk`c{6~I0)El^ zh$;A8>Iq1$ctLyzW3#zNgv_`vS?>#k7N|XpkU|~(&l;|^ge{;roEdu~-5}*WvCBT$ zZ{K+T)ND|KT-#&PapNgm(tuH<{ihd(O9c?S;dV$mqAXv!`_O znrt32pN}w_&NG8LLZBlHCxmC{%RVQrM_JI{c48ex#Wh+OUP?wGv z-hE}l{s0wSYjG#~T2OWZ-Bm-9gW*jC9)bEhP`IS;+Pe^m*W{nL(7W3%Qg2k22R<$1FO} zLNUv5*emLY8W&Vn>1hw=%rEm|`_gKy^jR_9SBjAcCIa7=Usu9kE`LJt@*LQ)xSIba zx}PLE-4Fl{n1L_D@w}c5)0)>s^?r#D=K6`%jTK1`L$&UIN@bFx>I&u zi$AGGJxFVd43J%1a9h#n@oibT)I8vq%{Z=e7&!CS{JsjSv*@ ztj*fE*B+set{|tN+69a-+SL18eu3Hmow7CTZ#d_=>$;KSJcikFKpcl*)7B%`=3rVG z?~q;h2}8unuGwU)g=-E)I%PjjqH!F98AOaElq{JT&MB0~(lQBHwhxL8aC+Ln36;x4 zPFAb9dnFsVp>BNJYnT9)f?gYlJU$28Q)g+vDYbilXftX0Mi?E7acE-l0THaat7WB zwfcS{ZCv|Aq59Vkx6t~LJ%6!I1dklKg9A|12-GVL-;rA9S$QqJ^EN=2>KlgFS(|}m z6oO@SS)-9X>27$VKSdl;#>3X=eW=OydSA{z8u2>WSQ!3}%J}t1w%hv>5v@av(c!(M zU$RD4+aGTPzaYdlsfwY}8;ZdCL(o)F?<4I=mUFH8?VY63yn!mAic_f@-}qZUs)!0s z?G=|V{^+%%?R##!nNv*xdoDixk~zU~S%3H;8NT!VZwYJ7k2CGVpCfWE;p1uO=`(Cm^{SIQda%Kj^Cu#*^>Bvq?W`|2cAH)m>m)G zm!>*ZbY@ANJb!WKH9cc{k^xxP&G0l{LxMtmn#xICZ@QfVR^)4l4pP@>7HbVr5&avB z!VIpiTL@rFCIv4yrDVOj;jitQiixA{w+)~b;LAl%mum|bncZ6AYvXD|>w4m# z^#!XvLuT)+)6g+C^$Rd{4<%3Ppn_}XW>;SClSSHJH5t0^M&2`Z81$vpaFn?xmco#k zsPivS(=Fu+2wV)FJ*vwja5>76|H6+~L>j*bP<(dD$b{tBQ>(-#6TC@_NkJAp1c(Cx zd*+5YI)sc(G(_XG{cnURp0=#BAiv}_vlg_if`DE^+ql|~W>!ujFHE-D=-=%mHrBsq zYceBxyshupB2s9ab5d2DzBO>QE#oQwA!UUTgB{WD5c>JS@5P7;Qd8`_!Mgsv54@Oa zLzT*T18deAH_%6Bh2eh$OcaI;88t@6e!Fz{PhX+hN;;V6Njy`93?`)$(HVVvQpn)A zY-zK#+Yt}-Ix^SfbhKPpmqqd>j4ddCE%aqplD5qb{3JR_HBdEd5c?xyK5w*OU;}Cb>~dc=;nLs%asZ!QUx!~b;i&P zAO~SwoHgeM;EB3x?8r81ehG{IQw+C^(d;F=`K_#p&DwB<}}}L65Iy zYldOEQ}4KJqJ9=%E69LTHwX0k8vi`6)$x7=xj^Q2Y>$5)FLm^+=*z4=78}>?C5E+F zr@2vuyK|TUAClF$|3xD3c~tgmzcw5OVeoBd-uGEk(bQ1XN(iHu-ciLl^ORYxx?g)< zh6KhZ$SB)wJc|^?RFKUx<#W^Y8~%{yV-+H`O!h6isI76xUhNRYGhUyjk-NG0a*fuHJy)=>-iU7~Z#-i?YNB<1x1s(l?^Cbdlkvx=OHA9YEP;1GBv zQT8a<4MK5i@N8L4PPBJFef5BX3hkx)wpQ$%oeAvRA!7GD1H1fkjZ!4GNb38c{A5p@ z_CDugcqxm-W}IbUJrV|xErDRqsRUJn_uCG4#d&5qzMr|jks>m@lcr9aez@0j`6pRYpu$?*PJ`2#7Q-)|SUj@gneF}XGu zAHM}Jv%u0Z(em5M=l=9kj|a$H3Sma@>>sYpLLUXjYWB%*-JmfcZFs6J^odW|Dqp->@O+a&7VYFmx2hp6;#`sd88RR9L2 z`p*>s1#MU;|Nnu}j!ELVpDx9Z1tg7n8Wl}Y)y+#h(&>Vh?vejQe3Wrh&wr?dbh8P%REE)SZd~0h}qbWFMvn}XE_&mZlAcy zlpWl&_r4RPlbC`YBBqh8*z){!`uYz3rLFQTF2*pFZ_>T-%{-P${J}e1e}~6|nJrT= zy);)@+29)OanwipkN7~SWctq5(MoC0%$594`erD6UW&$0?Su+yk&10g%oe?|sC1s) zMDjVd?2ALZC$IO{?-zHLh98wv+f9i52NV%kdDS}u!v^hzWWbT?8aTtgX6!c81dWjy z-gyX@1{Hht>9@)+5(%q+gv_@x21#v)>5I7>4r;>2@FvHD{*ORCmB1TzC1)+K3It-F=Y0h4+`%DoY74q+~mC1?_D-@Uxgsyh8M82 zB<1DC3Xq5fGq{kt+hQUl{$u`X?RVQ#yQLMDGT zGpHgv#Eo!B=**LwZS+?~J7Goa=U8cpgvVpzxkOSYl zBRoXSYclK1?{V7KCVylfXfmL7`sk^2)_gS@vpn1vy41QKnw{Wv?;EMNXOx zhFMj6LtS+$Ugzbh!W>4RDli}XV;pg{_?&3z^J9#aTiW=I9qBF+m`$@!{@GZ-pP!MV*z?-xU;@9Rk#m9Usn?3dTad%5?u6-};?qURi+IU)74&s4&b6qc7i+ zi?SNXfRL#7zkhQ|eCf?jC>rdad$Vf0+3h}92oU~VUV_{^Rq7p26OLN6PMQxYc0Uik zXrsMM<*Rc-Hr&ZqpDb8z9x2%g32O^^l|OjG6Yv-WEr}J+y+ByV_Ql`ZmN)2CY8cUY zs4PB_8U90V4^eVFdsM!h>^IPO*M1a>GN=<;D*St*Dz~`v9W3(SE&yep8-n_01_3Kf zc(#z7Yp~H~9y3i}VK&)}{STSw3c~d{=W0SUTZ5zyQzq?~!0?01TALETt_!tWBwWCu zrl>h2I&HBTA~r67QU{#}gHTWK5)cvZZ>aH2dX(4%^lF+}s+)EpZXyAV6~SHy0Wla# zWyn|Vvma)~z{4f|`b0nlUkc=4W~0tovl98P`<<5r-5VzQvxvQ#pPW5FNGthbmm5Jq z+AL1Cw@=>q%Fq1hC+pogWphS?gaAkVYtQn&$w8T&-HXfptw1OpXv`(4gc7h<#_SyZ zVSYiE?`UB_GkLtn3F)8hAIPZGFz`}DXoy%HZ9eowRad&3n;S(6=v!gU`v5 z=^59_FVMY`&tA+Iczm_@#JUXPf5ji4rPCj*)+-_fpY|`|r2x>=QDe|RM{Jjk_00CS zTl}C(YRIC)W^n7MKNfYuaO*PK#|8VZRq`)>C^t96hy;Ljwpjy4E$8{&SGMoo# ztCmKv%nW{Pxqct!u7)pavNXsY^h6C8AY#T3gsdCsri#|8E^Dm}7%l=H0GX6u$mT#A zdbkbkE`yI2{nYxZMf;agY-lQ-`wMsQ1FAv(U-GnuekR{k>K8g_zDdbRHWxY=Nk*mt zLz%{C>_yzAuqqiZ+tmOiivP244bA@aah~Bm>6)MM!n(s__GDc)T0i$1mx_S)4h6sOM_Q7fD)(RSQ5J~3x8}xJ8q+B@f49GNf z!*om>%j783AnDF@|DRe2=7II^9M3FvmPcy*2GncfA!#&5cKT#!6n z9oufM&URqio~yVPDA@k?z$zGoF=aP3G4H7DV7d$QDNXEsELiGG@88NTm23MU*N!sN zHf%9~JED)jyc|48+f-Ka=!cPM<33h*Oh8hiUe}_#|l>a7gkgJGV6nN2qwHM%AAQfacqVA+z}KV<{5gK zEh2eLn)bstBQc@!?(X0BPx3EL+k%``cX?gG>2S;iUjh~?dD$Vujh0<_0(U7ba*^W^ z=+`J)zh;c=#JPrPxq|I@f8rRtGAKBO?S0vNo4Q^Ib+Vq^@Ny|u(o+|kziwWU7ghIX zi+iKJq7)FC#hTg`INN%o}--2DLC5wLaK716Rq($cYF_P|ys zhsLF@Rv1E_wDLYN(tsuOMb`tBBQZCMXyz4J7K)Xc2=B<931A+{Sk7$?rF;3Qqm<}> zs-{JD**KgJ5J^tjbbiexQ=ju=BZ~X{+lK7oQl=!agYPBw8Vq(`xE;#f#O5>@eLQry zG2owag0yKN@*1a@+u@?`Y36SL-)|Zv^{nWFnnTX=kz1kPY*Uspr@Yh zp0GBsTZ@_3*JEI}SIw;oc6sb=rS_~-v4>Xg|}(7wcMJI{UyY#3+eLIo@nX^`W#B1@_i~&P9i;-rM-WKw0fhK=1Rd$wU8ar zrIIG;KN|^*Qj^fi+%Ua}P2j2okf3YQ6CnD5&Ypg=gtmwXGMYsh|IC!A|G{uq^RhjH zB~Lbq?Rxm)2er$u=KY{KrgeIN9m(<{3+QxiUIjATd*0*aJsNmARun67I36e}0*28p zJKN~Er=0!Zme=M`lqbS*;hr_B@h!GS$R)iTJy~BUe-h;e3VgS)TG6=<{^mDIMDp29 zZdZ$T0WL?TSXM8){A#4B+)5hr#+Wv82$)gz&D{&cWe3+@U5!=XBxhlNRy#%_jfih< z-K>7Y*zz@=OTCYUrc;t9fgvksF=B72<9J#L{_@zZ<+^5!%zmdwx3|#iJhEU%s$G)o zK$U)^cSv#!n+N|pQPFcQS`UYuq|fqZA@skoDcC9tzT~o?Ky~s6uTjr^t*k@CzYi{+ z#R^Qhko{%L<3{K(Z=?1^HVIr)ufPj0XU@3PmSgbzLe=cPNn@+QV>^4s zUi|nGSN`PK(xD)r5+kLVfC7SuiiFfCX&EiKp@=l28-{e3bWN150a8*EMu%fCVq+WM z@p_-n@0{QN+s<{JU5~ooZ_meNWnSox@#|EswC3S3c6$VAf7<_*V!AT;C4vVv7<|=O zEjJg=#W3-F;0j11yx@F&j9vWpEvby(K`U}Rm+`@LCvPnRp8>LwZ2mvlpubr;S0;a= zIluiKbJUr?UJ6|!j~gVa!2N&OU6LUx9P+eZtOzIqZ!o>hV$%J5O*Ic#6@GN3-DD~9 z=6nK|OpU~0_0l|+(FV~dv#YzW^^!>0>4Le`L*MH(Dnw9xykU2vJH{tomCQ^1iro1u zT$^~2qO{jD+r@Gg9<@dkaCmU$JOD@)J-I%WmTWHh-Q}>FDE{)Uj2i4RS zO2}ukb0cI=aq)P^+=LXHk3ykajk9#SMTF-$qVjk%r3pW+G6Mg+o8z0prmV2Y1^(S& zUAMHW9~%Xgg#Y+A5}wz1i*Gfa@7wDUQl2~C_N%F6V|L==I!D=E=Xg%d9c-Kw>-AKe zvFu5i9uGfOef8o>N4Se|S@Bj@)jK_lmQuN=&K=B8p1<157U1$Dz zK0hnEj{7J(_lwj-S!@CLFLeJ~wDqG+@Ckg#&g1};vHe1ZXTJCLu-R57a8XMv;fkPx z$F3J(sWn2z&v7gY;5^MfD;}sZV`(n?Q|C-68=ro7y-KaDql0yru(C$rV%_#?Gc2Wp zA1=!6k7n8VPf2cex$l*^ZtU$o+W33;q@QNi&Rpgp=%3?3tOM50nRxccpXL6vSHW=Q zv0M=sy>9&+qql-$G>UP79$CR7x#|DUs}fM7dHt65oA6RI221d!wZN_LfD3o8ycXWH z%Lx=yKHAS4GJLWo!~ZvRPPSn}sIg=_nY6gum?^CsWwXxY-gXNiKhxtj2%MC9aJdw> zz7(Ck{NZqv%EKzGXt+OvtDm@42O$dB(CJ>>f!n;jCagcqsb7LiHGQW@@3hz08z=Ow zFSAi7XEo(!~22yspIXI@}1$-+?vL- zkHLP8jod#-R|FItID3)A&tB80$)EasW~FZwZ2w@$pSVyKGR>)1awf(GOm~Je%XLsdq1&C`a_X zRvN$Sz54ahve9Gw&)|8}=bVF?CvR1vcpQ4e?0M{ek9f8zOic=)8+&EAMbMn94|^O6 z>O*C}U(?C-Emd_X6$ylTWOB5Zig0yD)RU08hbEcmd!T?ib0q{1o4b$opS)F6#0?qn zz({j0>&UepSwD9^dsoiszmV<0dmo7X_QdEnAnjVm;7)lJ>~w`y9%LH$6%YR0`y`Kd(;&h+nIERD4?6t!R(H zNscQ2>reRrd6Z5=N`X+%_6h;jm*vxG_zU2lj>OmP3X}XTE7tE^UOvAvp70~Q-u^GS z38!~4r<2nS_f@&w!Z&39`px_tD+maIM;rzy^d$p6ABee|O8#2;Zkhcw7U|K=et0EL zNHfg=4xePzYKbsnwArwKJfHs36Hv|El9B1bOb8X)K>t^nLgnX=D* zS^^TzYDe;ag{b{!hGja%JO5(fIwR9iZ6TjSr-qAm(5oI}0x$ax-pynv;f1665i_7U zE5>hbF25lh$M1plxO@9m!{jaY3y)qY^7)lnE%9i3xGaCqCKOBuc#`}#j_f`_)l&}`?0&oc@*%!>`D5-wubkeRf3~6_b#k00^HAaP2C|UokWtli= zm9`@~FEc)4ZA$#}8TAzHj8DLrbTX>+YL~{b($E(EiJe9ox8es=Dyle2FbzYa{osgS zf*Xx_%><;6I~T7gtxj97j|q~`sokB0QOV}d(KyXF${LW4l!k?GvdaxauA3Uw%gljM z{y0sjhSW=G$nrY3$eGfK`uxb6hC$hI09&0qoRNzsji*PWwSYDYK6DUOW-@m25I|xY zJsC#pk^M)T0zdi4FPfo_?D2LRO>r=e(hT z-}Bew(ihlIb^j?uj?ThJ;WrpZGROr{g$lW;YT8>Vr@w!4;CdD}@~{oSO^v-v6tn9L zcSdF)wwZr@8g+{j&(E#G?+s(G2wh_;;nhSv|bWr^jw=-1SV zhh-5(+#h!H_#AFR_uifTm=81Z+Ch8~t>#8qY=b-cM04FpToo)tC{sz6MAx_MX;(2^Of(VuSoQnFGKk+v=;a0|?G zkdt_xN~%jmz#}h&j+4aXN&;3gU-xews8=BZ9FC?4q-6M-N}7@}InExAkOs=V9HRD#twIpsIc9DKd_Ha@v%vv)Z9h>Cs}C;-!2X&;sdKTu3N4PKk?T_yJ4{iK{j)aT(nBSs?QNofcr#V6Q1cd#Xy z1e(*U&_-8iM@7>V4d*eY!SO`+d*H1HUU=azyDQfByH4hqXGwck%D`5`5Kgy>v;N(7 zd!B{_$P(nT=xXnY*{}B` zuLvKiDM#DOtmtlp+j0FA91b1VTfDCq9X@7YOKF;}Itr1#t?Ro){_yUTXBciroWu>!k7=0rD(JA3ryZb5CGY_XQWBVWy3p12z9MXeS zABW|%*aojc?W9}?4@lIa$I(+XH&m&!w)t+R8@Br@P4xdTi=Z4|kngrg-S$@Q^tz`nq>DMVfH%b(QH z(Vbg()7M)bc49_{ioT3WSsVIrzh`<1zxQG4!b{J+h!^8^$G;7}q^5HV>LHK**0j=# z0zJ?}A>ML7fKL@P-v7*hlK5@TU|f5fQp?%TobdNty6*TsZmJfRq56uF8mb9R%8=8_ zU!G7}DQvrSVi?Vlo!>8*8N>G`aS}vw*_mx8bjKL?6Ru^?Oo|K+1;lCrCs9B)%9aNJ2- zuAwc-;HBaR7^ojC*F`sqXBy(e$Yy28YxiU*Obhy!Vj%Zj!k5CV$vELQaUQ(ukk7zy zD4OM8T2)46by`3y+uS;JZ|--z@oox-(srui-?Bwir1uAfO{EFt$6;(ma~U}UiBX2m zKYRZ)DrGSo2wj-@Wh<}OM(;$7si*H%zXvqu{4ro0HhgdPXz17vZ7aI1aljHVc2yQA z1v*b_jU$4qDAk_t+gerPNlUA=)v8xR!3|o#OS|Y|qHyz4WLwQq zEK8-(_mK=Hcigjm%c!RZVwAt;>1pbL&qKvUq3a+&a(E)#WfGi z+b9M#8z8Z#Jz?0!jQ=IT_mE1pd{7e)6}sxndEPX~i{F|aQ+)7{bfXSt2#M+<*_%5* z47^-=V6xu(WOFC#cuIFaQ?PM5cRWH#wRhqhPvAo@dRq+|_629h>eoYdh`#)eXL_Ka zO2C)l@Qg1e7K^GW31QFb7M*#cTe_$YO)pwdg5b;a1&!r7k z37lLv|B6pGU(?~LHgvnZfOedu8P3+Fwo!pDNgNeL7UJ4eW6yk@$f+M$4cM*Wgq*p* z4~%fXTp-*2kt5DR;@&^@;1^w``Z^j4J4726c#tt{7oC2zP?1M{2EjeWfKSb4emo?Y zw-aP9ezAp&Bn0*Smcr}(Bc;TjwCXqo&YFD-{e)%l-R!P(1ksm!kE_+x3erq<@aaD3 ztOb%wk>&hb5Fg@V9R?|=#yA_Jl$ia&v z#}Txr;quZ@Ctfs=N&X<^SDf)l6hp6}^&}z*acMuvO%)M<{M7L?#w40goeN#60qS8n zazP+WRy0nN!4%|bt}P=J8PBuZ%=Mi8Jr^qL`DUe3rTK0dWZ#0g!u_mj>LYj6SSxAz zuN6`BaJ<{X=otTfizi1x;uPCl-w`-5K50E?f*2WG!v%2fk6?HuKLGCK>ZkdF;;_Z5 z8h6!q@p|E0z2Xpm;Cs2?9pmiyRnau((t-|G zl6jjtkrUn$$n>F2z0H4N`?co;(R4gx$9Zk~N{hewDHISWe%1qKqksQSz+0S^c?v*{ z$XoO&WVj>36%*5OEpTm-vudf*-45IS3QUY=K;JLb^y_Kd=0Y~47aVUTeTNiq6 z<73XFvN+Y2Z3%;%2HPoYBY3?P2g?XZ?)S@WoUoIxm5uv89BRunbP^6JE%IL*MHc*4 zHBp~uXJiH^XNq-RI~N3PHpVo+yN~Z-W{#xw9$lM?hm>6+{QY{{-X$i_>4Py*l!Agt zFw@|mWm&MkRcfUB0~tOSqGV-$jrAXdlwg(fms^*%7K4?h=&m~%$s8FCM|5)pfueqd-HfECgf~m8 zqh$LFEpFe7Jc9b!_7~RrFDiK3aNmT^((kl2hz2Y&uU|8dr@?*ymWs|*T5P}%^!mW6 zn9oI$QIx|(h3^t4)xia57Q8*%26Fd@3f<^XB(LuP4f=#f+WX)=EAOG!ymoR+NHQq3 zwglX=s7tMRJo)obnLs|m-Ky3*^GFD&A^-h~Q$;d$$>NJ=NM5UtmQB?LNGjU4AXee%fe)j z#O({E1oqrIS0%Bn`s3C--%;I7zUo|)vH1*Lo09ED{8-Fi(=$DLl5qKJ)1?yGnt$3z zqr?8`Azhq%Z-Wl76N*VlpH=ZhpKFbk$G%Vj+`ZpbRLJ+T=ZV$_@c)4cD5REw0 zIkrO<#0)(8wCcn8BH&7e(ucgg(U84dfXKAW)aj$GcaI|6dQ2Vx*K&SBt%7lquV8y@ zq~pXs-DqZs^>O{V0q|mShfmZ@@l|J-UcE%mYj}qVNw&dOjOU9fUryfVZfW5@U&T;4 zmu#Heep<Cb%VaE-)wML@Qy0Wpm-u>;#23C+w>QT<=hi^g;M+X*yj}8>}tx+I4kC&w~%k#ZS3B37An7xvO zvu`C)U3rTV7yOj7awXHSV}Ul#u1#?a%@fC;_7}EJ+nESU?wJXc-a(0=J@8(U$;+k+ z=D%%+Pg~qxSHP}c)&hRUL@_wsSeO#kr+XAn6@&GnGJ`6@^1H)1TP+vJkaA{Xk!4ax z46Bnawn;fBpS$^HH!?)+pvErjb%t+k!LNY!EcKuZ{Bgk|q^q;PGH>ERSLuQUC><9Y ze59-iK)PzM9!ZveT;7=5AcW8uJbQZ*h6ar<1?Pc@Z-vhFvgHh{s9CY`yKy*M{bAu! zF5lz$bLEW*8`rduSWU_~vMVRF>HED((!LvWFUL28TY|HQ7sF{L49T{Y5S|wIiYlAi zW{L4I)1yI4*royd#v@O*fuxi(bNH3!AMvZ|%5|%|goLBXhn{D=NZN{j@u2wGL!gIt z*#sA1aHJm504^{&)8a9yT3iiwe;2<{@JZQCN_TdjMW6p?NcGr&pv;-Au3_A;agt~z$21H$m7pzeVJL2@( zh#oZkEDJ^uJ#;(*xmyd?z06XyOli%}s z+xWzA-6t$NKughqiK@Wa=qhdK@j#LvVa6P$HMb*>P8sOSVmX5#JBxpRZ!({ZNOoQ;aYi|Uw?@UWw!vS%WIovOK5~LGT zS4PTF?Vxr=G1;IJ2mwm3d?JC`y&z3x=qKBQr^EZ6bbnVueaCb+BU4W%$yPc~loccx z8r}bK)G{Q$Ih^;5xbfJltyQUQ5UVkwSOe4Fp9DPmW4Db^?CvPtHS|54BM*+9BvQ?i zt$|LSN0#A+j?*VzL>ZhZR5itvRF5TP#)^FXv8!~zmnUO>YVGba78=$#lYRd>qQ)!e z+$k*tWr6ATA?A4Zpky_9BBaR@U@nI7j}|=`b#jz#=2=c#T9sYS_PZ-mzS^e9DY>nd zkE-xPa2NcjQWc=`l*5!UqH|9sflZ%QzD~eeD zjeX-CwM93}6&ccV;3cmxvigQiJMEuft?cUwJnja)cq@*@(d)3~Cyz(g@@WDvG6Fm+ zRvd{gMZCnE9NF5PQeHo_O{eAjQh6D)FY`H=&N=N1HKo*9WcH&^?hq2ndd}#=U&e)7*;eB1`Y?G zHZH!!s~jbLn0dbUcOJ?;X{KsH;-) z65kRZuy+Q*rm5g|HcLvSAtgenvsa5~b|4+->tDdd7vbw=iBtt$8wi$t*Lj2vWaZ{LwTC(>$;#3#{7A9lk9+Gn!G63U}o=b75USl^olU9E<)^VOox`%JzN__+QXom$E zrKI+8z3qoZqyS`-7sJ+W!+Jfgjq4>PGq(@p(Z_CD5%SEdQcJfAUA zkJ0(F64X}}B^5$BVJxLeWPKX^Q0S{9iHG~hAD-1?0Mbv=)l?e(^VHw@>d9Fdv5?|g z#6komrW^5ZqZb#ngpS!>&1KP~Y`o7B!N|QV*#$sy(7)tY*8LZ5y^10bjaMt^jja)e zvEkZN`cw0~Yb>9Ko&LC-Tv^mpw7^5p5txDx#{yf$ zs^bFy*dTE>2>)!)oU&?g>PJ+$1mQsG2qKKi;)2c%+RLi%K z_kEZ`Yx|0uzO~lXB5T2tA$~hioJXpB$JDj&RGyw({9dEHoISeGv1*hfzv7{2TDwAN z)1dP44?BVc=mS-hT;@4^`SOy!7TomG+JD7YQv>&##OEewWNV?i-Ao9)V~3i0QvuTL zYwzLzu=+>)w41jEqy0Nwf*05Xo>>Vh)h_ig>Zaz4&9~ru;#;PG9Da}sn-B#^+R!1h z@cS+JDF(3R-`04o@fb{;bwbPKVd41k#z_u_@?YyG5tuus;OhG$fwY$>r-uElRf%6y zPRe%O@}XeJj*f}TjBxwm76-S&k#e-i_CTRY4?SAIs6V$P1L2apEZMSm58cyQH|DW< z)2yzZG7X?qZ}6>kWoLw+#LhvEW-R$`&h4)RSqhQHfqrna)Jx6%OdM>-GbS}ULjzYo z{OU-^QJkw5+(zoiuiBAdh#bILhf}a`Un=`O3s$*oS$Z?@-?B`NAh$NUXo|qIxXC~Q zwKsX&EO0x~cqASsi1*j+)Lg9{k;X70h9l+kVNbju1;lEXb<_UgZ+E_|>tClB6S z)}2?H-avmJRV)UbyLyHLu*XnlDTdigSqCqo^OSpU7m@wj^-{#Y9pFnD{M$JXG91_B z)>9zS9(2}KtV_|}eH{aHj7^C=y{BWv{98%qTCO?%4{X@37~e;f1wSRh9q=+sJ3r<( z776dj31gWavKmJD(g(JF8-J2Ox4ogU4>`#Do!-{Eq7ynBv>qa^w~E?NcK6FZe}Nj2 z=26GF9%c>U>)h=_k@6d){kX3g4(Nskj9c}-Le;o*s{|CXfGf!r%UEKNE3cpqXtn_(J-WCy}h}hW0O= z(2KkF8k1$WX%gEOd#u>c&z{p8N&mXNf@gp2xHZRjlxLH&-@AUQm9my5UA1~TpwjaZ zLpl5~5Ym!o6%aLUG(8ZotpI|JosPLe>bo4HDJQSJ!}J0lTBMiRy@Rg8E$geOhmds& zzoH?yH=x2h!q`o|&4!GR=te_Syrc147I*trG|Is={|K!{{JyeYQ72;c-OB*`uW;2{uC`xp_agA;W)*pRDan^LCAlIK$ z5{JadIFO1bJOi6P*3_Q@x#-wYdTfsmwSH&=5%nv;JedyOcz2tweH2)-fl$__e1Q;z zwKs%c0b~QBE}omqZae&OaN^;hVeUkVl0v7|4mMvaveO*C4Nls0nX_M@%4y?MMW&0aSi zq8^9ojjCl&8KN%Sg8r;h3=KO8ZL6=?jg%?#Nq~1)XgZ6|yL|mX8g-dJ3>AC1_}hjn$ehzdvflHXnsY^qIZvf~nYF;7dfobV@(!7!iKRG<{c zR3jIAOiR6q3_9sIv?PaLr#6f(&fUHude|3IGX#UKnyk2)>Fc+D(vhA%YlrM5g+bk2 zr%~lMiw;Ik1VJ+_N+ItVga+a~-$hy1aFE6$+w;i398N_d-DYF7%1?JCv3}>8d7WK5ARb zatA2FC?JCRdCEHH2|`dJ7e|;#@#jO4lQLWQwmo+urCFKnRl+aTB6++I_%K9%`10Xl z4m&E+l)=L+s$)>T@l?7ie^qpF#2{bf)ZeQ;C2)6`ydvDH@mmmEs|me4yRL+<9X7Eq zkLG77_)}V}zJz_4>od?^uwBtYZu^bZ&JMRZ1MNe!st&=Mfn_6Y5BSa}$h?ERMNHV5 z3M!w%=ZI}h<-px)bG4f?K5|93-O1l@{`A1LX!=G`O0@D=<3n*) ztUEi8%q~V{l^A_>QQq5XmPjKlWauHEl?2fuOi|{ca40 zk~Gi44~bP-9Ku+ZmcZZ7KWx<1yTvly0Fd9xM4yBlBFOJ5wlW+@8}^=o$cVt!O>lS- zC~Epny3C#N_|K2ET)az~R=<|39IRj2LGT}+o<<##OUCAZ$n5_RV6W zyDQlDwKwUGLT|Lym-3S+T6a~&8nEv^6_u_j?Hfw{I;T}2QZIhY{n|fuJr#H9Zs@;qE+a>5t3 z3FrMl=$L7w2+z8c1ppUTg`*rmTkEuk8bCjx=vsg)1wf`FvPGcsFbGn*{e~Q`o0i^g zTIo(-n^9(Xq^92w8RDclG7GB-Xjwa$D+u_2Mx724M_~!Z?`d@;i`hl8yx9_|iXbvomS(+s%X8f|-f<$(X%1AjGSDlu_> zD5b*yxDplWmk;VA&a9Lz^M6pbH74J)Coet`d~nJ<=<}x!KFI)O#&ezFwnI`5&X|@Z zs%Qe0jnGtCG*>3e?RPLv5kq+A&h*Eo3^rVY*9z#BYGlc_EhjkLe%})MZ3(`jtCbuC z{|y~dEPOr7Hy$cfF|Sv%+}NdZ#?vjcjNhH|K(Dt52i|8#()v6G4$$|cxiyd_^Uw+h zznbWPi}LV!MVIJMv@t>OuRwPAcO0Mne8&?-uH*j*!jbCb#O=gkA6(0-Sh-L3p%avX z$)M?sn{}gO6i5^R5on<(s(WG8>aV`C-DM+~?4h{0M=ZK91Bvz7ZTfq~Ty%R&L@*~l z1ev-pzVU^`U2glZAqB$FpzB4LXq5k(y1lUX^-ats0CM4(FqxT(%RG}S+9e408XS%5 zFKIiSqMmpKgG7)XAL;1Tl(DMiUqSg4!79orTt(xC2C9O;c2x?pP93j`z6cN(eIM@e z@Z%*3x4*mL-5kb5ePwSi2qD;i{bEL+F8H%3N7?(7-DbDRVO5`@@W>C5FnIEoC|>^J zq^}4ND}HpOqhtaPSMuHlFKDN6oJ^47nxaKGsun$;IyWzc(Y4Y=szbklpl> zOS^a?ws-h%{mZwPrt0To6{ik%jmtYQQEMtZ1*qV5f$6rYkY=*`(xzh74|3iuG`q-n z6@L6H!!xdhZQOZ;Shn1Drsj8A|2kx3yIaSxZP-$!WY98KMPb**uRVYG7U6lr=*|%J zFxR{RaN9pV*7%$;y zV)Zl~>;_~<45AOqPU3b8%z-=*-hkwTQlD__F-egxxFT;EP zN3_7>!{JAof`EcE#um=XcWonT4hIbsCZMT?AyB*3WIO5fbLt6rC)q`collqlqpp&Z zaL8n;x6@`@yFH&PSkYNUM7CP1eMsF#g1dz|M3>`qhOqgPgT+N66 zFl2&Cs%HCcER}uwlTF+EF?UeeSZ1xws60~;knIDYyL&2P;;x!ZzFgd#UaK*P;3%V# zGn%CoZ@#Fp$mQ2-dn0x3Aa=U^mzw9zbhvD{$T}?zJ-T6w&5r(WWZmR|HuRRTY!DBIa_6w6h5|$n|Uj3 zPsx!Z0rw9_%Q-CCKfy~ZNK^MIsu6GupYdI zA&@d79Y*}8wYmykTL$Dn3=8%JPNizesptqm_xV1sM_XGV~0fq_dHS|bo2e<1QmP` zmLmy%Ovu+I0qeoLP1LT;1J+xOz`I+4YlnWZ$cQP-aTV9HGduvR8YuU4;}76pV4%D~ zNA=cVDPjICPj&?6_+l1pSlN4@Zx_;EMNl!{tWp{|dj~suVIJDie#G~K548ZL7Ere` z6wLX1JUWMX+R$FZG$;nBieNd_0?(H5aC8+cLbqfeFK`2hR*ww1gz*nWxw1!B=qR`! zak5oo5W2*EM)5}iZL&LbA�w<>PMB?^Bb_5o8U{F%XvERA-Qe3aNbdZF<@g z?s=_RKxBJY$#V);ALztQNI6`Cv;*i~}i#2yweI#Hfa7;JtpHR@IJhU(!V`SDFiszTAqA~kEg-D5M zW{rCyeMfC?+MPc;vdz&Y4s|4Re70bZuH`_MZVZ-un*3`+G%uEcH0XVF{kNB28`ijO zhWQ|^jhPg(BWdaW(?2Uh<463~G`j8BY$sp;tk0nlLY*|shY*%_-hcz>eqJ*;tuh7w z#XbMXY>Kv?e~C42k3a~r3$!cH7A^T+*7hZo;JHW?!1kP&ke>C{eRe6}zT@6b4w1G= zkt*?V%9{U4iAhZET4Kxm{e6QAh{d}A{NuTw7m9R6yJY_wDJ~7u0Y-6YM|l)NyiNg^hm`oepCX&Mca$30 zGkVqC)OE{ath+d{w(Gv-AI>r;!&pkww8=5;0!taK61!R+{Nl{?yv&_FZjs0;wK$5| zZ6eM=^4K);jFK0;lh+c%0OfNwb>~|RQ?q&vruky?`}eBa?heOG1CIJMxpBOeWF63= zYswPjVq9@yrsL2}?+J_+{ANjaBmwGB?yGLT7BGZ+e%tCJ%*>^(UkA?rV_4@qsu@oW z2l74?RIj{T(}64c68+E@f5W?y84;7sMzszLd?I<~p2uzUFOM|VjYBI@`~)e7y(Gw6gg zzqPOoE`?FfZla}M?h6ZORAjZ2EZGFc+FjcyIh%RjMt7phaH#-U^UG(12hXwKyv=kx z#^YjVv2k{Xm>_FtdY~5N*gAhZqT{;Qy;bV@t`_<&AuT$hfxY5zD~{189gblGqK|~7 z7`9Tp+uTV%e;|j^UbiJ?0uW7&3(O9^Z-)aauynQYUktA@wg{*hymB3aCESrdXg?k7 zI{W9DE3vGwoJ_p0b*Gn2h&%jrsOn}TbFS~Vg}10bMyr~yS!(OTp@+Y5#pKR9tTgvH z7dX$B2rfusY9*Q14QCtzO!@v6C;c}BJAGGcX6fMFo8-pJ%)M&qJ&6){3Nh~Y7fkJ|qTSs1Z8=j$?uTFbu>wg(}-;f!P zTz^pQg4;prsr4HCW8$IsO3z*dctIj6q1xoqaamNyvOboQaP0 zZG+-uUJB!Oo3!D7ZpCo_N4$BAASnRx?TI+0)pNH)vV9t9xQ4tom$!GCg(&~b!N+T>pYDcigElsk@#bM_vnCxX z7jJ}$?vCv@SKe!|t0Nv;cy(-)S^x4Aa%?^K7g@FFl!vlD!b?Q(BHQ#b);93a zSxNm>6Dpwy_ipBPA3*)9jr~?=pQ;{6=#pn(7e>LIV1LrR(CcHo~qHT%7yWS8!o?X zzoUgt<8Uo8|CJ)OdM%BQ+b0#EE=Ujonn2&jbiU?VVVU<5G=LmX3!@<8wi9sHGhFnSjq>pO%t04E0BfVBt-nturLXSNCce729 zn&`vZFEF&uE@76JQ-F5>s?28s?bC#I1KkD*;8*j_851S4T(&TK`CA*cn|h_L2Ul%Z z)rUWcjZVwt)WKc%WOy{UhP@T>37{+r2Ro_kt1weUuJ`%BT>uCtGN=@JQt6h)VNbnQ zI9bd10y6M#UN)SR#JTT{AQgxeu!C?W|BS&9_Gv$R7j;r(fPS{S$JS_eMu1kgBcSnA zOuIFFA*ybM4xy5x&?FmP7SZrFIi# ze`DhM_myNGK0$w%5)F_thowj0&G$UPNX<2sc1px}?2xuRAnRF9ZLA2mA)`}mbIT6 z0^@*23GP&yp;>Bbi_kiWejv|qXx)N2YV38#smX3<&}I9X<8b@kTMA-j?f-Q{3qeZq z8m3z26k(P){2fO-ePY+v5hrtyn~D2ogcdrO!rl#}X&Dhd0Mh;#9X#Q}(aLO(a`-~K z9ikJ~BbAX&i-t;QM}OsJ>o(DY-Xm#cv!WRFsn!nBAM>@Ru)=1~fmKt>X%?WN0~pCt zd263Va1eBqcufr<%X*5>)UlAjJRx|sJ?9ArIzTuY`Opr;J|;o|_(^XWp27`4<)yMi z2JzNimW7frGW)G{ZvGmI(dZNvwA+f0luIs__<6%e2JT-MfRwSr*#^jqf_oxNaQcdQ zAcDH5(q3ErIrp@2qIiodlqLpA37C2Ux4A6I%7f3rS^j43)t^5_9J8gUj1R9K?yAFn<1mexXIq=Bs4x}o-HzRPbK4N@B?np(JX`Vq zGZ9S+QDFt)i+7Val=@ld+XjR#eta6_*3Kn8 z-pDKSPnU(cSjoyy7I(j{Wf z3`)Y%=qRoqtO|mNB(ok@rhji_vChFto5=9ZN{SHvpYI=gsA1g5+;Ulh!3Z$`|4y)6 z;{{U2LEztEUr~*>&6f#KN`Us7oixa-Xn2QgflJqdd)Nz)kq+sac(G zHFVSNu3IiVTlaG6hF8Gu*=5Rrv5KI|8k1jEZ}Y>&G(9&A+~-$9*Aw1BM%Riojs-ya z@HQo`w5N&f2mpNDSsW2=Jn^8_wFrA%uiwqWZ=Ws?={a8 z5_sT~RK0IiG&`EzhU)V&zSiMT#z9LHoZM>-~Q-)|+#@ zzlz8jj{4$pF&`CP+3J^(k1*_3PN7&g2N*l2#kVfotyuJ@Dt5>&c>b( zg{#1z^r8q8ht=$uNtKZjN+WTAB6qXs34(&6(z2M`ePapfye4w1Djj>X<9~u4D)$XD z3tmNd?(@5@lyYmI@XET+5#nv~egIgNFSRV!)O=Dp|3hMZM%B)io6y2$jM{BEe3xT> z{@nykc$-%z0>`e|t|kfmyMr-sW&4d>iyTr+^BA4E8mniWCMXqJ6FDaV;Q=hGScXH*%DNzJ9! zdADua+$CvRJUnb4?my40(*V@^#^3KP5G*a_+NR>q$g5jt!9KH|wi6~%9CoMVGY0)`9jXm}mh5yAf>ljLNvQ)%t)>Yiu!5UJyS^4iO!{aGPJ`&$yah>*NE z^t@7+-9PhKaTmML8?_=@UL`D7F8;2Hb$c|eZHR_-9gQ#&JXkVs@dq7hAzXnMD}h=R zEP$tz8z>zkD^t^uQrqTJCf>Q%S4K^59d>ZXiC9+7C`NYAKPzPwb*ngW=N|YX@|TEA zJf&f(UB0%KemTxh4!I@vzHk+>=XW`(DE|NB1^Ik6ODiEIpZoTykJg{wv`y*^9XlK*U&B0|6#H96(Z77gL3Vm0 zw8y*@*ziA?F%wQX)g&-6s@>!M!Ram~HRQ8JdSKxn00*#2Ef%(duaL(u`5PM;lL zJg$>XT)tm=>+e&!&U5q!6}hH}f!xC;ny+;hLlZ|Jpn~$_K!0HR!!GH-XHukEQ08{R z+X<6>$2Q$KAEzH?HLe*@TRZ+t+L*&}`NwG|_N1h$&4a_MEI1{9hwr3PakHin? z9G*S8w59jFzDyOUM{1XXT0Vp`Y$F?K)WF1;k85S8dC>iowhvnyT0qISoR7xzGNk|Gv_a*`&Es_!&A>Goo z(cRq$14hFbgKaFH@%`QRecaD;JpX^j4)(dO>x}p7d|yB2pp=d-9$@TR(t}SYo3V8d z6t_;FpUvXM11=;I0#~Mjgw243M5>4%Miue9ZS!uo1E=iq*801J0l8_esYivLEfePI)G{0$4+*nB zeG4BigiF{eSoui;D&T>eGYXp=Bj^oVk;(^?=VIZyX?D;kO#nFQ7ezD32Y>hGx`6B8 zc1jHpBmI)e$Y`gV4zBwQR_RMJ55HM3(a}D%}jcDFuqB zZrQf-+fb;}Wns!?w^TKT%Td(A93iy=M0WF1iD!Fm*daoEotVB9Ono$5AN>;NaQ0a? z4U;fO>KbKG?Mi!<&7*CHIj{|z=@5Zi{csDKGI?rP0((-C? zI$Wm9IPVYl?{`pp%h3bg^Tv>$dBd`MHNhgcq<-w*V^u59{;9m#>28r%pnWvlMc6{$ z)l$`5-3?(u+5kx3JnF=XYm+Qi)S6w|OfsYa_iK=uuA-0w;k=pALs7HU+ak&`9f@!Y2a$=5Q?B3}J}$onc*|sYK(naD_T7{Og4Nt#H;#xU zvxCARQRefVSdVV1_I%kKdWPUO)q?M}HtG+xl=$~0>M56RSAe`~J;YHah(QOjTPUez zv3t6edV^a6{;njIlTKs-$WT~)l%T9IEb70qWC>#VQ%q5xD5ZyX>X9S{j|Z`_@U`#5 za^-I)Btb!BU6B4^#}c9A6S(>HqwX6Wv8G5TPHMBTM;QwvYI;ml_Eo^I+ga=S5yY$b zuE{zuunThi|>y*Ond>qsJ!&b zjq-*^6mdMSUZJQyRZ37xVC|%WCXAJ__KS~BS}|AHAogci5}ewzq(*z*e+na_XYti< z5}-R?IWJY8w;FW33{88A|3DiiJcc&Km?CyUS!m9g{~ABmOr{RVNav1UKNB(oUp z7R60QZ3z&(z@z{_g?1CNX6N_x~6b+=1|CQ+52GvVQsgg#S_TU$5)sVv+Jlh2=jy zN=PXbh|HD8{7cYofW;CSH*a%9XaL;eQCVQ$Ov!l-% z4eJ+sDbL1lH28^VsNO5(AIxu=q_@4IPs(|MThc+G8oVcDl!74{NUih~u(?TZ` zHy4=-2*jX2I@1q#MH|x_vUlY(5|KKHqxJ=xNcSHP{WR$lxKt$(RrtZo*%Zaf5=daD z>`ogE&c-lten{Q(_J@W)(JH*?aG5EYgO|B=_r54|@UP63@8Awo4i%Oqop*nDz#Y)O z!yIp2k*{WmU9~a6<*gm!j2#S}LWrYI2FKcu#;?oChcJ$(e|)d6FoGtlf0c{N5pzMA z!_s>18^mR}vMRHkKL7g)p2X`mT1oTje+spp3HG1Qi(e1yG?m#3url_1TA$S)yK;;6 zI4M%y=}(l*JBbw~PI68Yx_NjHU2_+DAfVPmBR%}3qTE}P{Cxr9N^`@T`l~Z${PhWI zqc5J1nf|>;9uaIZFMo5q;_G%cJneZgf>Mlrt(`j8$I4TzH-w(XdDQFgj7h;-LpYWpD+hvVg7a{N%Rp z?0GK3wS*HaDmj6i@3UqNOWNHj=wrxOj=pv@O}@3>E=|aSicl;m#Uclk0$@@*^!1MW zwEk5ZFwnMCWRLB zcQqgUf_l@(TlGmnr&Oxqj%s#MxZD{}=Uq#U(~yYu`lnOr+26fhmU?dyPKLQCRZY}$ zZ|li<+0da*>RDrrm)=|!%bFnTtVWl>unTGxPu;+V0Jlqr7yHPo4(l5G;{wYYJTBDe z$O;ubSZ@gx_J5d+kRE3GjX9x?2EaG!#)P9^hVpWl;T`=>4S!{+TSq={*6>#f_ zc4YIHo=D6Zh6#lx;iUW#+1!DlDc%WyTT4HXRhV2XjD5gJE!x?_ZvwGKP^P+F;AG*{ z*bf&l?X+cxOu>%AZgQOr4p9jV_76lC)0v1aPnh*%Q`R9p=9&udZs~y~xKT;)B!2{* z$3s0Okb9v>^b~|xLs5GGH@^2kR@U`d!0~WkiNT^e_PGJ-sy!QKN*K5tsk`f zVAfmV^UZH)L+PA!9v`QrzULYJc-o$Qn>n}ov2?-HUEUj~f08sT0!z^jtNP$?&-%=p zE7Fhd?tq!KDb~t#9NnsS5nypKRbckPnd*y*rS6u-exguY zo!7cowrtnG5yQsK(y4^)%Yy-%`GGU(GhgSn^a4d| zD7@HpzHn)032>)>hPpAUPi@oi)V4fBVd{}iN0^Fs@^$7FQ${W~Q~Cq{&ym}`~7OFlqL@=#n{8E)}q`SnptaaRwcnwLQ580)PGYdZ~j~3Rh9*s90;VAx)qw5ZRVF`}<4` zFyca;?R{>x0KUsX>-|^bC;@r$9(b08#NutK)G3!pWPOvL9En)C{&v;%NpO>$$l{&s za3;W%oA7UMqk2(u$s;L#Y=UefHF-?zYzpduFn~9|D%cQji*^}(-?kz)y-d8Sd*&&j z#3wlvLM^mJB*FiU9lHMrcznuhGcTz}V0aKDdG1p*BY`YlF`plV1eL`%>({g2kFn-6e2y`(W z1~`?(R|7Q=*^nV8$$MQCc#H)$8i?;mqu=&&-TnPNoolC;i``sFCO(WiJ9$r3+z{LDa2UW^`66GXbk8mC&b6-C|%U; z>O{*+MPkc~c^Ngm0JeqU2_C>})CB_H0>4B*=;50ySZE&H*0r7#MFWb)HALQ(2gj9am>qjSKu9#X^YFwrixmKhTGI zC>+Je+-kVSjqYQ(FT)lr+d)J(Zc5Q(HU(HP>HBA^F9~&~OSPI>S1XS-vT^*E3QrJM z=MA;LX!8U5GEG!AbZg%Au)fuCV4a(msjO%Aq5byfz4mDecl%U?`lU08Z!gTi(Mu1RUxv3DiGJH8BF z_PSb^ezB05U~4RJ4gBTj(2pOw4E2;aCUuHF8^7_X6%2kc(a{FNx8PB9m}ql^F<2i$ zbTU+J8FIeGJe`BkX&K3dwQS7bAR4DHp%46`48adSa2((@sA~ZV#+#=EEA9jlSiKvM zach9p9Bv?Q8nFs0#bdLHk<+=u{}IBPMp><(ClRAbwyfS5v(tEOiy{qhAux`a>l5zO zz-ISmWb{$Q)Rr|~eq(U`$J?s2xns)U=>s0m=@dWmU2jbK5_Mbip|??mIexuz@JI{l zy-;>Fi1@umPL0yZlg2dL;xF*sQHv(yt?clT+|Y9JqH+a&qEfZfkRD}8qbAz0-lqtz zr^tx2LZgYfModkq`|2dsL}(R;m}STKUEJYu?IV~O^qjRSmxIXhykT@WHQz8b zF__2}jbi2Ff(I_POAvm%*zCoM9kYzMc`}2yQc66FWotZf;Y&%c0335}(Ts%@_q1sp zHWTL7rV`4+q4id{^R1zgCKoopVpCu76b}JaRe}B+Xb(ka%SJ;h+wCD6e~RWJ&uD{;9E(9X0a{SwB05{AzTzX7F$cu8sa_;XT@XP_ zg$HD*@PO}s@PL;Zg6c82>sntjQtkWr&Oi0nG(2B6rYKmd{gtLZ3#+@Mxcy6UUVW9D zvot~5Uiac>4u8s~iwQgm;JuT=3KrMi`gy~mE7_2c>{Bk zE^24xdnP1EYjP|`!Fkkv$1i62Z9SgNLgX1-jHV~HOH78mVa~my=fmJy`n<^*d13IW z3*QU-GOm|XH8aBILBz18&0NZ7qDLyB6+Qd5vyvq7@enk)43qZ$Oo|ZwwBgdGDa(b} zc8Fpk3!ym&UoHhcY`I)%#!C7sX1_0=7R23kj))t*VU`xRmI<#-D{Nh+aWl>5Fg0=6 zQ$dD%ss6)V5$mr}b~+pR-MT@_I%$Yod(iA+=Sy#S!>sP0i=NQn$M`NlfAYKB$Av&E zt;(CZ@msY@eZaP@pH&+Xz@sDDu|Djk>zJvWT5z5;XX}eTos7h<(|!jDtk(syWoY?d?)>gV@@xifF>XLsL+<5H(MJK*?qY)S zTNzAo_g=%VJYc-&Dj?E1=CjE+43?mH5NeiKO$TGW#Q>w~A4~tFh>oM2N15y(#C|L= zcyj1DU`!ky%d^Q|2*4-frK|YMp_yae3y5Kmr;2oqKOlU|Vb%=Pbe;Uk+6 zN&8P0bBU+nYW{8!gjLVbRy(ctxuj&+-fQv({9kItBx#3lMaNC(zp(qM?M353gKD#P z7HD*DX_eNX!+7(T(4D$Y&PWn0fur!`Z`c6FI%hYaqVYZ%Fm<& zfq6<%3Ks_7p58bI#dN3NDp4iexuroF)ddJl^n?LXQ2m6z8oRp|)#eTRNgUpV&SXvB zdnk{R_l}R&6EP1_%}EtI11zO%2k^a@uNA@kxP6cdi%T$hT-N}r} zG=7V!Brb)?{bBsCl0Vl?8MK){(xv7CdL6OLFZ6{AsHz5xvC5sBJ3~r8gPQI8zFq*H zkBo-@HwDP_@PDQNsi?mqvC98Ko`y6?#cL(KEq?FC3uWDO*WPZ{+oV53kO|gO4ga*N zVb(hHb=mIb3Ytrg4GDoN()kqck z&tk81Zv2IW(rVuprZn8;J`})%#p!FmJd&QdZ)DS`y(iz*h`RGo<@g1lKhTC~ZAeyRgP<#jlt8b8pjXK9dM+J8XbSVsYtP9+AI)m^ao%t5@m=!o ziwtl#>#ABfy!dt2poqmigZAVkLJ(s{8Fjj6(UOur|6=_)D}bLPCn8erpNw?#vuM1D zIzQHzn0CrP1o;5PsEo$!&l3&ky^#(}&12rYAaC=F7>fv|jeZW|HN--jviYyFaivZr z#;eK`_q6XPFJa9R&ygOUl!^m5QG#1qMPVX@`YI^=VXyQ=su}jo#7{22yN`X2_+ zc(8Hh$WOoO%+4uzq}iuCF{U2^EgMC>E!!xdT{h6?sBmNn^oC9817(jNyjerg-8#SW z>5Sp0B^Af)lWQtn)IY)_ih`_#F3LLIk#A)A7^(y9!FQiBl7Izm3VBr76LNnv*EK|D zQZbXyVn9OSQYALJ; z+YWODz?f~jjDEK1GVEf%Y8Y8=3Cmd0Y4_$A{Sx3kVXT6hi#oMvZ8MSc6qZLKV%cOC z+r`>A2r;%J*;|UVUXAbh{4d%u5EyQ0}mhfki8VJoy#KgUhe>_TV48ZBw2c+ExAw?sfT2W%w0`nE0?L=OCc zFc1jg-mLkF=>{o`{M80PCPG7UWPiu1PrrypIXz$CVs2$7%*#v7buj7n>lZ>}TPm9et z+h9B@i48A5UN8({pW-TA6|Ax+%I%E?V?`Sp-^Y}tb%RQI&Vvq(2C~dvx(Qfn5v?<- zl--`a8uBWpHWUK28>O+ML(Tla2_8Z=C@FZwT%kXZ4oPiq-s~r)pysTghLp?od(MvY zU6S_DT9T??v4HM(fGC@Y zBc^8>ZEN55bf1PS|I7L$E41!n9B=fy`@^R#X&37!kNuY$c>jGVD?jp$i4@ZYM3OpU zB`soEKRt`;5%)F$DT@5b|CqH`n85$w^Y^Ifn;{1wZ#(aTZ-uv5$Ht@>$7pfjGU}GA zRwONFg#HMJ=gRGovIjR@3;@}{J2OI^OE`t7NLI8FQ3NuhGLR#}n#RY?W9#(0ZZ!;? zU6bS&&x1Q))qgp#E>52?fXBR93x{|lZ~$}-DWY4kI*_>Ej(fo;TTwVOj_QL<&9!Y|Lsfycy|oSedHAJ4mIwpzWJ^6FsvDSMQr^^$@e@ejA*~XKmwMhDijA*Wn5?p z&(23nK7oP=#%~!pFpI9yAghtyS~%-K$Zj^s%lBe`pzt3>%9po%p_h9+fx4WJ28;c< zCUrX5-T3)*=p$8{;vd>WYJS!!J${kC_Qi*-tdMd>`#%{Vc1OR)@zzF#awN&CU40P` z74&cVCF&~(1;|RC=W}FsTNN5z<#p!5=Be3Hw;G5;1xWb*Edw`mWIn77IV-WFG9o=6 zsPn53*kx`34&5V2vm}!dg$>w|#DNeHy6lq~m6!f^;~Pp3j6x8h&hxNETsAsZ8N zm?{^MQ^>m}pY{oeY%b1*lwZw?C0|*U%So<)TYn#)W0@jo@hDqWb|)+CKIXWQa=C{4 zuW6;wMmYoL3oSJMvx>o1__}&S)u;GJI#Mk2;gY%2CHc|5CtaVsGX?N>2QOnytme0R z-0R4UMjc)|;g_}AJD(y&1o<)+iDuq@1+gPA%PT_PoAxtKOJ)*+zhml4N>_g>p}UF}l%VJJ0r2*Ulj(tm!5>e?8ZT9brgNmw&b&^L}h~_)k;Q&Lc9YER^+~j8->Ll_lU)_D)WRL=8le(YL(%{n!N-w9u|o^=Gmu12OjeaX;|Z>zn% zs1hyqq?1>al=6DY4M_zA7FCeBKhGusU_YYUcMV$^e&nv_Z&5>ju7!KEf`a#jhjais z0^JF6*!o+QDM2uuqo^rE&%4CQhVU{Fe=XNmt%%9;ZlE|q-`a1yS2*$``05)zTMAvY z_rpT)8Z4@&iX69J+gJ)t`FFQ6}!4wJs3Z0X_(dVJ;L1uh0S4z-no06q4$dKa%? zcCDOuIXxGt_jiJuxsEZ5-i1kNq)*gttF~|B#b^}pYv=l)%juZgY3BQFIbCw+ODCDl z6oCUp;;5=Z?Q&47+9UA|0VqACD`{)da8II901^>^d!rBDV6_-a;j5dGfINQ+e{XpW zX7FRInr`#tuEz?KQ=0nWhX?`!EOzC$PnXxz_Hr7S?ghd%1ai2MTT4J~Z2hdfzsUGy z(I)IHJ|;hZCP~qFW!RUU5^1j3_Q@Zhs_dGfs z%0uz5gFvsX!4a~V{npPg>B497Jn#wd7;iGHuo3JdY8X7`3d{ok^X4&0^*0%JWxot(A}{?aDb4(w}4qb)yENDJelS33q_?E(+l zKr2^Ts5Gux-Xdzx}eX_B-D5!ul{P3PILM#;usVg>5v7TH26 zr@L4xf7`2bAt7qrYrutdOOOGgM@}H=LN~4sT;}!B^5S^K+a?;`n@FJ3fE)pYGVyd* z5Agh~FA?M54L*wZU){~VHwFsBajX!rg|XP3_=v-9`A)}X0H zQ(zy&zh1oxEgrs()b{}z4wfe97so(%M?{DZaMqAvnzJlfo=@qm511B!r@N} zkq->{igQQpNrn}QJ`P{ZS@M86IP{A`il{%IoCw!&hEzr3gspjw zqN_&9qW8QmG_&B%Z{Dd>cvSpzpLY78-kOo`Fz?s#CX1|Ve)LI-12k!zAKC3LdD)IMY_j<;L_9y9l|;x z)XLOq?>cGJt}fn+Yc;5cHK>1bt@EJ#X{+PnENEzdGxc?`D}Zg=O8buyMc~wPTaQ*7 zX?@CG4ts*hZty^W_l7(eGSO2aR3nH^gBcCeVbP`za)!p*U-(1SpcIuJMHKP&EasB! zZo809^KV2FKTMv0xU-~SQ*#v29&&|I`uPOt&k5^D=bU#E8uS+vt4A_7@W!0s8;a`% z>EG(4p#{)9ff9?x--)aCZ+XZqlG}H!bNGRQraL5)N|IIUWD42{H^z=NBpEd1lincQ zl4@VD3)rl`Fqw(Wir40r#;Olziv*K>JW5jc@D-!8{3YmLu3^!WrL%HCYVpZ8Vp?KQ zI=}xcAwK&$Z&6E)k01*D+gLo#DNV3y$tvDpXPWc122p5qzb#oHyT~c!VWfM6qv=Rj z%R|MGY!)kemU21$DCQY4ms;i09l0%vy|w*X@2RHxMf*4h?kg)ECd!uir8M&^hII3X z;l`V~`)h3Oy{?)KU}X9$HoDt&XQqaajq2^WA_7lt=eg2*xNc<#u{oYf(ofY#ex~0p zc8*Zn{NOz%Fa9Iyo-nmGIY)?;YNWQ%f4_Kz_d8Z!*ysV#bc?I`tCW<=bYhu&?dEGc z5}ReA#}n^jWF|RI-85O&1K{{3m zj6|B8WiT~^5aCoG@)YTO$wS@up1gJZ5&tK@8EjkTEe@D?h#igo2R(m?khml5A4hdX zloEJNrpe$WkUf~b+DnizfJi%upx_2ntq(meoT!1Ey6*4a3#g|Y-j<>g9s&)L5FE4p`|7&Z1 zjnhvM=5BJx832;ZBc?N1ynNxg#GYM{u=JfZn)6xt1u@-JQTCW&ERy$fm$z#eMIt?{U0(xKGDn$L!(HW*rJ`m4?3i*GV>2Wx$JAuyQJD zOnqnqzeAiJ@>Id3JDuersQ(oG|7D`_zc|+aW15l5v*{e>P_FcmmX)<-vsSfUt?r)7 zc?Yeg8_x5JepIe zbC$I&60p-w6phVn)i)t656q_chB)X=8Ii~C^TRay&aX9quc*SK zkRL;V0mr8yQb6SC@=*WWv0v2UXnD)%TsZh&v6 z=Mj`{?A+e=+?ZAc2+1Gjnf4|mtqvf0eO;a@bNoAbG=TdjI`b(tE)@^jeB$UQV*RoVxRevlV^M8s=g7e;z)wT85- zpurQy%!8WXwjzFB9o%3Pm`g#hYGW|c(YZrO(a;6^RD$0Z?LG)=l=mu5!Hry&BtupQ zQqu$m)k&bpeQu?$VjrrwzC^7Zyc56|BZoMLR$O_yO6xz;(aUxUhxA`t{0pPMf!JA* z(1~sZfQ;`f`GvzM(*ra@mj_HwTSci?fWipQ-0Ko;{QiS;MrFc0J`qOlcbZ0{?<%!~ z(xI;}5%#GiheOnq6oIL82yG3eo*UNs=ss^V3GPJ9MNBWjmue^g{w&%QD1ZrcR#@3- zj3wXN@EWIfAHK9Be`8Lu7hiwp5{Q3Jf9GEEQte^BIyvF_9_D#1y~|*akV7}!N%i?uCKCPLpU~w zJmrKy^+gvrBlw52_SF-wowG=kaf|BNv@%JD)@MVrazbGk4(>U7p>Knph}%C!Bc}@$ zq%T<7HdIox2t&Zo86*3@TW{YsR&r{0>r-V-P}zRbuX{1nE0KjQwU1?O(`x!RP5VyO z>LPK`vXTsPXVd4=8W@4PqSSQ-`JWbpZB5r=r7`dEoG9a=mephPk(luKjR~krAiVp z?oFohpG8TwW!6M;ZQa?I(+)7pp0M-Eum750)yy<`SWv&?i6Mq8RX|xIp*mciVwqpO#3u>+~j=79<3|uQZsuwyU>( zGIBIew(ScNzPY|$791vyId}q7S6@w!xyqxNA_eN$S_XBaW|FxSd0bUKH4TQ{8G39Q zA;>7k6GpY1+ztGUt#V&l?Xk{=gH^skA$ptkZ#wM(i4*58Vvwb_^Toih$KideevZx2 za#q6LgFH6uewQO#siF(W*GHn864DF1{# zuQ+O-8Zzj3etf<9?ktFx$Oaq&Z@RaMP$x4RsBQzO$n3NuKK)MhrKBaolMqj8qxOx= zg%HuA*d4{2Izt@?`17xSN^eO^9_DlUOsZ4@SYAxNCKqca&(QEC%$hb+vKzu+cg{PLM9m=7&oYR8C3ghP z?qJTDg`iszy-1o9_5MN@<%H^?hzKv%T{s3*|HW%ET(x(<-%OR+R~@PJBUFo~t8F&8SJqZ=o*`4Pi$+NM8hydU;IfJ)-i zO-5#p?)Sf+e&$voy7}02ERDyKC3)dF_VX|fC<@e9nn@Wo@%1GMAx8Zrj3Ybi%kn9q zP8NMPOTlke5T~9LoVr6gOG@NhA*4?I@ejwD38-tmdL8-Z`#-i?(5URGMI(fyBB_^2 zp-+#z`q&MhyX1Z0oJTyQ>HGrZ?+406MP@>2>R6Wgwoa8|tPAsBhBF1Msz`%ST4uI*~^u@4#&%KKGQoG^vfi#lgvkwUdf8?H^~@h^3` z6Ck&Ssu$LeWj%_o0*|M_`dfHi90mLF#p|EoOhSZx&B;Llbk2fNo>VUtCj@zMpI@;j z|0TOXOIE#0asb&bZGr7Cb-5p!zT|UCt;ksFefu8P5Btrn==V||@sMWE>L8c6F?Qw%2>BnAV?hx0!mcw8_WyGBdHLUi+e9{*v^4afPYHAF z<+7cTf-1728-a~9VoF%KL>a+`w`6-E_xFMa=PC1KRZmW!31{!!%SR<9PE*#PLKQNh z(D7JkM^r?X4Y}TX@gsuobVk|K$M)&geg>rnY*yD^{aE?L30C%-4!gHMw9{wi1aa)U zQNZ7a70PM+M9DxW{y@$bGMsYH@`#DjbH5zog!cFQUHm%y^R)d>;1w6brgS52h zMA#nic(8R%yXO1j-d{?9_tPHH6NELvPhF^|#jZ`MQ-vscY5HW$hRP98)qp0V-#d6x zv=LAus7t1EX^pWqA|#oC0`zrC5t5I#-^9N&@%>xFM+j*%i_UE2S}s$pnp=Rr)N3-e z4`5Ige~W*#tAkF}{Br*8l?(T?_#L-@}aKrAeUvWlp_) zfhs3pfFhty`Sh>x{_)BC{wuZ+bM=p*sOX50b&%HmND(^A$ltJ_<;T!!R^ zdHSWAV;YYKp7JRBv~_yW$nSf`G~Zohkxi8%t-D<4OlQ;1EvUrtYo?W6rsvpI2UPRY z5;c3v*twRI#EFS{5hFv4w?Qbk0k$TFY~Sl_Axmt-TddETxF1rjp92P<-wY>jrjKhh z)aYhU={72<^H@pgJn0&6%9*iL9(cETD3?}E))9(A$w(e>S9WQ1y0pBwj=Enu?q2)3 zb{n97ujY6xdk3csS_>zx@n*R`f6wmXvo)i>^n^-UPPUz>0JAG=Fz4DWNa;UO-*WnkC5muF4PdU-ODV zUa8i~c5@EY?YbFVK55OR;S(!B3T2AMISEKOPa%uxdTvR|dg(ghe}Z~6a+#}3mhc-U zy-cVQX*?g`knd5~30ke3hh7SpjbHvrQ0S6f>2yVie_p4>Yxr$C(X~NBZh0PF|1PHz z6&nH#v1_5{bbdR5QUSQH(}}l)BD*?nKmf_NAcRZ%O3b>nhMU7=F9))eEWSRyf>`sh z^U>DAELsEHEa8C03bbu_Zf(fZNg&Ep9(DIjJ!ickRJ=RGC z3j&?9ZbIHQtG_0cX;f3#JIdXiHJMQ3B&!nqdtpTwmy{_|{a*5ZlQ%%d`lXJI9gX8L zZQ7US3y%B0Fp6VeGmqzR>|5(1m4a??Ak+C3Esg{3+bP!IAMKbph2dL`v>oeJ#BuOS zQ@djRk3W+()_iIr#U)dpir*wm?z7AU6hG-cg`4>|5$i-ICZVK9m7CM-JbKf<)%EyE zzi9XC;$AugwXa`jn2gxSdVg>L&8{-5h{cy7S2$x{_fx)JyvhCDEuiB7Ot<7~Z~%Rm z=6PDcG^zdwo`ncrhCKe1E^{6nfkTWig+X_-O zbHT;NUUOULZ^{45*in%{IKTDK^V+x^pH{!nM=JC_@v<{3D8@1>Ewtt%9s+u`b>H?qId&sgq;>Vs-H6t2~ zc;vK5yZT$YemC#Q;Y>KV7-d2FMK%8W1*$A^va|nKmjMgU;?71|&x-scn5koMIrqU})mKzU z5t5dUkQb5s_DDNBUt$&!S`vyK@{pAeH#kP#zCXJ6BK)v@_R z#H*saM{h)xe9hEH07#cBMBy|(&C872EJFK$r^W}bW4U7coxDD$(g(0qNc>D(Y^*j( zH`xE!6X9^(yQ&gf;pcXd6Pr-tb_4M3$yqEB`Q)VHi9IK@J zFhgT9Z?J}qm~tf*w>bb=e1f_ddH4|kdf`%$ zs{VKbzY>m#y?8a;C;C2*Ll!F4S_s0F=U)7E4Z z>m|R7+0n2hp3Z7%eun8w)QyMiXNalQ>7hxcu0i=Yz##EvDC!Y9m*0yaY(N62vf}-U z+ve(GpgBel74qy>#BYEg3=3f#luZKnjG?UX&uh##w=XlKy=L@WsiIkHNkTWyp!xui zLDukbYxs*U+1fJFaV`f;&G6(77Au$d(`qOc5^DCUVSve1a90doYQChLzpczHS~ksY zUACBRMl0(4fO~31OQCd((3&-e=UmEWG|^$X34GV$a=My}Nh___-ano~+S1rftRb!l z_%ZWz?w>xc<5~B*e#r0C{#J725|inHzpU^)=y1%ZQU9an^;@_ZHeh-M@F3%4bwlx) ze{ilxMsnFdKAWLvpGyA&r$6q9k<*~kaNk5-6-_B;F7_c1!p|#I(r?I~jtJ3b5Qh4b z6apL+wj~hV>(B^gLL!5ov0L;A6PC5JrD*?mr#JgIp4{C;V%MNkzr3?d{)2J>*!oyS z<*{d#{pmlJ?~wSv;90+UdqqXN5a+YqyZ;J>q{VT);%)-Y(BsZFp5JAJ^3o5EuJe-< zEZ-^b^I&cHxpyUfk7S3{We^PqoIybDoV(HkZbrv}6GVH=NdAG$sq53u<(}lZlpl=V zN7o>I-u;bz%{jGY09bav`fLE=-Y2-;N+KqYJ!>kOC(PO^dxiQ)-@Al*{~dtR@5HKC z3IR=G$&k!{qA!2L_Fu0r1Yn%8bm?Im25|k0slKAmbo>#KwOfhwQ%@d&*I@-leH~Bd zuuaAreW<&SjFv8O-Z6eYR~-0qyq@$Nv7grHwTgfHBC7DhwlVJOo|l}JNKRBPC^Q3L zABEW1eEMM_upY>|!#qn#L%X7eZ4?&~jEo^+9^i@dzAWc1Al%mPv5 z`OJfVS@F80Gf;suhUf4cKLgiP5PVCIc=jyiT>qu#D=nAmnH@0xm<#_D>sBm%Uj=!J zG%a;*aOtdRzrwrEEG-_+EczSkwgJ_LOifpMr+AlWL>FU9gWoE01((yAbkbRCEyb4> zr){9rzMA}C{FXuHtr*HD51`)4b)HrPu`c*1PV87uI_MIf(SyGe%mz~%Y@;VA1*ew! z9l3YC@e1|$q#-#gM`rf&rV*;$D6Hrv|q5lpYssI@=B2PU5 zyJ>Eny<~tOu&UI@@-c5qNwv>(iMlcKlmQXn??5z1qnacB|I+eEI;n=GNgbi;;yy4X^aSz?CC*xWSDT=6@r8_5^ZzH_HN3mF*jB$t-Gdi8 zPGnPu%y;~3U)^=SMWpYTDTSB*{q?YB-r=3@~J+)jdro2A@k7W?uwhkr};f-kaCFe@NB2)XdV$>Wj z2qQRnTxA$AHLmPoaOlb%cxpCdsM0O)K8vhnCour0W5Y{{}`Vwe#8)z9qB6BrL}wS_f9@wsBi zJ+(BkxP`y&PDgg`36WQBs<)qI&HeaqkWnPxKbk65D9_^68;;V+LR*Ig9Lelk^{;kM z4Z{3kE*;+3&+6kCGKbbovnv1w%XU^K#Z@uz)%j6fGGCo@XhVp*CjVK=qcvPaLtL`=` z&&Y{Re$ve1Pn_8C|E66BgF`iCwg zhStCH>W4tLx&wRTf1Yd8>^AOs;0bXWw#^&fC5akjb)Ly?SPJ2yAW#$K#U5th0{Po_ zE|Ki`(SFjpF)Z4#sC_^(M$Dz@RI~`+IMcMc&tZ^oW2A`%afneUF)e^Z)A%Wcf*R{H zJ$2v{d$b3Fr-L6lE;Z8fGpw@vjq)$H`-lIcUHzx{(0h6?I!CoP0Ws8TP1=vPpSa2M zcl=oD1_Kq+k!@7T-4U+c5%LoD%v~IC?Z4tcb_3fxeWrbn3zwKt`_vq#izOLE9MIYo z8`H(4i-c|%rtb&l2hB!Z+Lig3MOa$75KNu=U|4@do=J#z~z8e*FCmXjQXV}k1+IE|2!X7ub*#0Jcmq(e*IhS zZS5K{ebX)r^S$OkI0VA)D3~Cy-}Gd*^(i1u=%JM{vh#5c##^b`-#d1ImTqbx)2v1U z95S0q=W&e`;n`KkbJ6|wQ9zj&vqbbQt}dB!7SVU-o%=B#vmPE+mPZK|H!?xy>L#Fo zVH$*nzwhfyZmAx9#loB5GN&)Ef<+IhgPyBfD$ND07i)6JTy?<2%iQfM0{-L<9dd`2K^+$DM1E1$V zrrOA3*2A7fAy}E~PNQzKzBg@`RfUtUk(U&_2cg;6f(SuB`RYzA1CF&Ia1wpizB+xM znvpiUTbHww=uBlN_% zypw0#UshSg1a+MBI%oA{{j+T{A7@!Zi=U8hej;9@~p~b#Vz@P zOI%Zl`5s(z{(~E?*H)une}>n9-6Z4A!{qVjTL{mqwpN^>`lt#Qo!pQ3_nsqiJS~Az z1NhJO(YvpkeuJ~0r=qVayb%bdb$hJyGJdhYGy%hE)pgA6@;3bNlB2WpXFta`sM$Q_EgSN@#$n@77Y>PH_hbK$*83vKc~w19**RL;1Gv`v6ZPiR)Y zMYMk3Jr-BeHB%L8znypWsCDnOs(1zVg6Q!oe}1i}6FPOwD162;bkB;DalUoihr&t| zQUPlorKQEOb#c65oya97g%Uc3R^Ir}-?00KuAhu_a&JI7opo%h^m8J+iT34z6HXyf zJ^vK+PhD|ER10rDkP%GPmw*d$(CzenFCABqjn)+3nf6>X3f(|o_Y-rv?3mrc1*7p? zZO&W)U_mdOd8pSW%gRY)#$lwu%=KtN;Kiv2t9K-(9)JIGNo!I{Q^Z8;qM%;+RliSo zGL{;t4mYYNj5NG;AQjUIu^wyIqj8cFUWR6#yW~Q~OP>!_hQ6`=nyp2lbNLuftBaI2 zV+EPA_e%wjKfGE>_jct-{0Nd>T5(!7SWelA&)3Z!Kc2mAz1hIAl|sG89P)4KSD*?j6iHF`7OIopEo#RoUKL>k z+5fg{Q(9+ExENB=frfSvhoBmTd$ z?Z3$5qpY{sUcixeiv@*FKUswimj3jKapIWQ+g@I=xa*bhgCJt$@-~8{Mx^;q_Y=uK zQjF(sRQbh&fcJQQy@C7Mi(|NaFKH7EH=LqyIrel$?`qIeHX(bsgwds(L|1T@|H^da zTs`CLmyTwh?!Pu<`j9i|5Gv6K+AbL3)F-`r<*uc}U0mv9xkEebZVaj)51`DGHWO)} z3J#{pGGi>TfVrK3qfRw9Or@=ucB3~wB!0jKNr1F`oMRI2Bs3PxDnt?=)AP|hm24_5 zo7g_QDQw*5I8k|9rm4tcI|1rt5P*4KW?7e5B~1GggZ$c(eBwZzgeX?w`OU`L{(&73 zuCq`*JaK_PXR@K#eyu3IZ#&)@S1BhvhEG%Y@C%E51-{WP9b!^!k>+($$yInHU+j&A z*xssQ*KRN+iBZW2z-N3kEC>C@r^R`-)J*)?fX8{0eN^k!9*d2zu?}laj6eWDJxjd> z{g{*AFLj(Hp}*iW#OY!HH5On>#G(8jF7I{aQc+5OmZoEiX-Cd{od2CymBfE&VbXBf z#{6uN&tZ31O0&67z<`mNBuneATK99sU3M3@oM<>rP;X(kb488dK2bs$a%uB$)MZ&A z+cv~B>+AtMjkaH=6TDh{4`J1Ki=05UD*bTQ3Tq3mN*ASA}z}NNSthkC*#nhmiCvXq`{n zY0GGU?w*|p4aFbV8@8Ad3Ha)JrN~=i*;krgJGgDv`IEyx0G!SXX}!iDCgI-zTb`z8 zya-xU%>5LR9QJt98Q0Vsrrgs=_Vd20LDyeJaLGn!0W^#7wJke-WJ% zHuVDg%@0Ed&GW0*$5f-%Jyq7XU`e6y)$N2@-$d(MUc2&BJi|@Az}It1ksgO@sRt0e zCpWjA*tdItiCIA@D7x8T#CbGdpJDwn^d2|K&3Y7CIk@t$W`xzqm_DD1+XN00>vB(Z ze8xiPVIi8gb0ztmo0QW%kUu#>D?apBAY}%g`w=w7UNvL(q{0%WR|%bbm!oy|D`>hq zPy)65S-AzT#VHaCIf>&~RJ_oy`-0wg0DJipEqC2N6TJurNzvZCVV@mQijE#Y?A*~` zBRQc?znem6uZ{!D!5jI_)*9;t4Y~1LV>R{D$R)z?#iBY%29M8$e8O$mba2e)7L0E& z_P7nP=S@kp!7K$p(`dHc$Zk>w+L?UG$H%Hb5qV$X8~} zU$*`x==dv}&pE)nE9Z|r(_9;imIz_$n4L!56lpo3Tp0@TGmcJOSFabP>3(LJW9OFk zE?^gyE<7t5v6EcoGvPq!VVduC5b>;mo$GsG<=aHtI99%IPuQyu&$in_VZ>El3lZ*a zudG$x0yj|x{a73+iA=tkTqE?#>0okK`EF~w0CGH9{r3;sNMCE%`pCC}+V0Z>RP$oQ zqA!-0jT~_D|EX2zgITy6h<|2bqL6=U=|bqeRb8dKJJX9oL+&2}!|lVi^nIDrp(;`L zyZ-U>jU3^PPf_@qM#wgS>AH-+jk+`}8dDCb?RB%Vj zq{1q}>!g2xcTq>;jjUuJ$+YhU0e;9PkY{v~^_Awc;%hIjp&zULh}3%3;xV>nCh4jA zo$cAf5%01ODr2#I{2op4_uL9?hxdu)L*asQe!TsEoWGrPHG9|m5mwL)XN|M=@T^~V zUa*6H@@Khn{PRs&{ZTWhvEjE^4l`E)ZO|e1nfXu$@}O1-{bM-y8zW4J1$$rmgGY?c z#w-}P(S|-(`rI#|qjF>%>iQab+Wd2&%C3d(cL1J0o}sP%fZ?Y+!zWoV}rqLQKN6SGZ~QC7x0CA8thcM_1MV=Q(9{gKTW?^_pb%$?w|l_Lu#M+ z_+YnToWygIh?Xa8sng(sv zSCt}>VO=M|sm0i9B>WD6_Ja1$RV7(%^}45gx`WOzL%tXx9d?{zY#A*KGK!;a`-y=f z5A3tRzy|ia>t8xa7?XF2XPfb{eeEB?7hN#iXt}2S&;Cun;C$R8Tlbe=;VcF8i?2<29I)WRCaY$sh;OMGbiWJ&9CpDDFCDZLxxZ*W6@%VsQQ9G|6Z3p=X*`ncG{g60XfStE4 zYy}<|i@6QD*mmX!_Gk}%n?2JZkqszwrPkMEAelVJ9p_J^6Tes z{$bJQA6jFO0?FozmM`GrD<=M9hP#O?QiViAi66GdR$v9-J8SCfDt(<{o>8H}X<-9D zpfmn;$fwxwc+A`Q?4M27ACJBy>;7ozEc?lXhG%^(T|~6DPe(qDu0_+O_b=HSv* zQSvBGuj6gHO{(t%3FGgEIsLSwuW<4t9IC84g&*oxt;S87F*@({)FD6D7BSf0(|+Ed zn_BGfYrgi=O%N<=Xj-#R;pFA#l)%8x@E~S6{NH$s?oA>VNg?#PCYPc(V3?=WoNvgE z_Gv}CuVsh|5lCHSBHl2OsE?b6$BU#ymFjTgMvY$inSoYVlph zx%vKqgFAgbH)ASvRd&|oM)RPvtneN(KIm-DbC2`{NKwRC{1r_L>AC0zQ|+A-Vxz$m zpT1wMd7e*S>?Y$w!yqJf! ze)iWcxSq+-#bD+pdLG?$tn2}{{d}FSwDuv9A68RTgW4kqv$8g3FnynU(|3P+wOk{q z@$V0>wTy|c_VnGWUY2wF$UcRBfqPrr>z3QTnEkhmk)Wc?zte%&bARW!9^0BqMp}I} z3ll&*7zF-u^6YSW8>i)tQlRzaEVEeeixxt|Zlg9(&^tt@SEDP7eA^QOYeoN~@Mr6_;h-|jFK*q`13>v)ISw%N09H*_ zf%5=UH+#J$3Uwlmp7bsZ`@^bF_`)Hudc7h_r+xce8z>ldH(|n`q=eY{Z3q%|ce?Z&B8+dHUPZlzgoz)v(^R2N<8KMe#U!)u(^ovRVdGUB*Rm)1_9*Kt z8mLb+Kd`BPF&T=?Qw$Sv&jEXIeE^cZ~JijvfmP6i)vCLNw1V{JsChxcqnJIv?#pKNcUN3To3T7+S=Bfk{uM6M}|?Cn97G6@jO zj%D#g6`xGP+1XKWv7Xu9(~c2U(FV|FCJm|!`rQ4?BX8qhmw(R%t%82)rwHF6dqWRi>0_{l%7(H33TGGsAsqfmfZ^IJ{ zL9*7H)#184s#HC+A}`KOv1;&l=!ejM8(RwIZ07dI0TAredWy=mQ=`baI1(^#l~5zX z_x7q{){ui?aAkmbPm6E5|VEJNlt_Uy*| zBB>m)FrT~Kp)bIpMKe{`e^zb`f(|^?FB>qd3g3Rg+JBT=^bL)@mhn$3k0Q= zhkgpL?&f6cGx>BdL5tKcMi%?5%EtCxH|OAL~@)^qG#mh6?X2S3Cuun{Ll7yesj3 zd?zA>+2Qk)+hY>jDnowE;v{@2n5~?%3(H9?AD&QVT0Yz}?J(Zio_`>)n&&0C30REM zJAW`GmGFDpdpP5; z4S3TlaM*eq{bK_wu@x)>OQ1y|_`1t^NnM@|UAUv1UhYuII`#TxQC8x%R;r0&5cB{~ zz8DXayIExcX$mjLLP+C3Hj4Dy2Y(xgT;xQb+Ujzig2J!W4$FGi>Mx{vN1Jb`e2>b( zIcy+5x2(NIHJpM|U8o_zSlan;R{Yn_GmCBk<{?q1)iU6Qh2c+ATtZP)VgVx<%uFO? zZez#hCqfWS-~NGn&nyr~wFG7jzE|z!4-0Tx`|cxK z!<|t%8+hqh(JM*e@GGgrRG#FyWhwqYceWN--qo8?x7|%;clqKK57h%-ytZEieW=wP zcHFT3E^&t&_szI&CFpBN+nHGvYnqS#P7>u1>r3M4^UQnu2vL!uc3Eeq|6*g!Q?vau z>l?onM+i+>Zl?@z`7o45zRh|Mzhum+ccxe@&mr`JHx(%_+yz=qdpI)k2&ZZ$ldk<~ z@;$bHzW=PdKD(!@4Df}Gz~6jbU!3MU|H%TN1~-p(3k?n;@MXH@NVM-Iya@y$&|`|x zljlsN;BF#Xf3{j+1amvQ*>7@od6slL;b{8=#wjO%DwiVF{7~e$uvUWm`P+WId>$4z zokd`JGR(Og!d^rnZ+J@VuRikmpf&MtrSVmH7=~;7uG@r7Gd9ltvD;^NUr=S$R$$kT z4?rjvSx1?W=*bKAd*TK-@pgk}UX~f{_2l;(mo0eVxeNUNOoj{c`5&pZz* z>d&vlh_(GuNjD~4NXvHv&>n5ucQD9=9t=+3*DJsQe)2y^7e$)R4To!{`F8tmsCxA~ z2*&A+a-v1Hq^D;mn`+x1NV$EaPk(?(W46`_Yo_@p#umz(syjgguEzIrlfndcl5)c}fbW zwnW+x%S~1VITcQygb^BB;`}#R;;T{zkRn-|fv}NRo46dyDgPe^Sqym!X;z@6n>Jeb zux84lrGqBHPY#Uv*UBNpJ+8FRll`X?0wX09@Oelz0mDWb&@pia;{01!ax~r zjX*;)8~%qRJ4p!%8ubC3Kfe-nT%Bekg03~_@UAMbblaJ7iR=nRV}p=5~% zw%q?al{QYZo_UKoDfyq`|1EVK{)iO*cwZ*H4{k=C$@Gln1`OPwUS-$|bZ@B7uC3z} zB$u@RQ3GB1Pn$LO{rq~AX6C!}DkH>y9?~>Y*4`<3UG-anCL9igB|JPNt3o<}%hH^y z+?8?`&GyQj4RKnj1SwcZ(7TaEb0-W2=AVr_lovlM7&UYQ|EaYoz~|0D)K~&rkz^%u zK!MMkk(OAjDu7h{7C6xDc>{YR7|YQ*-nza8HJx*4$eeyYm7tY!XR47`+f>g7As?UR zYhZCW7Oe4@;cHuhy86eh+NBV5q0iiTo^4m_1~h~+DC;jxDmaJAc7vtGTi5TTW|pDc zh8B(#|C#}qj!hTfpOdm#s}bP-LlIzxRK@*ZWofP%*>99^?`}}V>QWE_19_CE?hO(v zr77?;cqZ-9#T*{n>ObhH(1}QkqU=!YxXl{hn7U7sopzZ#Evg)6T)D&?gD$!-ODRY^AV$h!@1w6ntU%Hm14*NX1CcYSmH2Vs`Z1S6;VVgAR14eQaYAv4L}l^X|LMR#7E=qL$Uo-KF9!yM&_c zC}Oq^&}3FQs;8J~b%k&vAwptG$$cz&^>xVu2!U7AG7nC?NIY-!p^R_-_R*#to1XAc z%i?xxR_%Dfp5Ftkfq%lAZph}qdljF%7ALN#j5u(-I$x+Oscbe^RKWs)rYn;NI)2!_ZYjF#Y*+IgBN_rX{_}nq@gPp2ValrSxp^kH z$1SN`Hr-bn*p5^laK(;%-hj;=;`0RhqnF}pyCF&gQ}Lke=&wD00>NLR4StMo29pd( z2jS2Ev_aGQvSEeUltavErycx{4W$0zaBkq{72xmT!vuL=R{>2m@XYp-6<0Gp_1E+c zs$Yh|d6g@Qz-|3emI2nje=7JOR;^^K^=qQm$z;v%ZZ91_X7GM z^N`+n8c_o^V_aaZTxS_~K9*bfcVU8NdQU6^O~+`+$uXW9#`IAF*c-In?-bnqUVAg9 zcsO2}P^!tgx-BbMUU?R3>f7)_VMtc7eAbj>@^y^ZW zgsVXhlt#MN&NaN#rP|V8ul$&E{pULM^fd(~_koRIuZHt{l8;;Z0)|2q@RITdtb(g< z6(26DS8fYTMD#!tYDO30&oAdL9CjpVShP=Ets=-Bxu#M0RK?QTbY~;I+iW-#zx1q# zk_>l4^Sf@QWvarvMQBGpReb{!B`A$9llDUEV>4U|?i>^RuN|bx5eaEI;CGEt0}}Pn_NQqr5m%`O@^mAQCl2iAx~)vSvxA_=X7_c} zFf&2aHC^|573_;ZWBpKOSnNS^2BQ&cXmQw!hP2wwx%F(KqMf5+0RmDqZ7%7rWz9uw zUUyqVJHU4^IDRRosoPP;{QAIFzB9Tk`|l2G{emuS{y8sZ$%S>}c_dHxuNswJiA=|o zLy5!NF65DX#gjhM3z7NpsvA;hEj!Y-+s5qD784VX+Zj)K{O0gJU~&5nkf8gjP{+Q= zk`=S>W%PWA;bxeF?hRq=hNC4@nnzv~;gzl^8+kR*->K*NtHu^3LVLyioT$5PLF41E z+owa1+%d$_pS3-tGGMQ=-tT20sD)H7XZ;_(r|;I;p*whxFY$XQp?WlY`n*tDj7PyA zN{B`{t{&Q!0{KZyxpBnPA{K77BC(=)E*cD&BwDY~ffK9ieHLJV5B??L5dY6lesh0+0Xam)8g7cpu7vY9YCmXOp0|o?G%ih19gx8I% zyKyqpWOK<7lJy-bx^+hCTTeg4qY z&1bv*bhClIb=ar>lB^Q1T3>V_=M`!hn(}~}PsuI^~QJrXcm%KW&;p3f`WBmuUW*~Uy{z17{ ze%HjiokSkQO*PqkU$vWfDw%-9H9iLMcV>#lEdCZW85k5PD)1Ph&_X@J+Rqs?rMDc* zW10s~cj}DU3@X&GO53!*C!Met`-THGC6$Qt=H+-bwL(!Di{o#6X4sO_G{jM`SJ#k@*_B}Zm#|lgXIU4aP|(JATJT|G{$Sj03)CN#K(HC zPk=H^xbh~_Cp$WskciS0NJ2@=N~KZnacYO4_@3-LuWnApucge>kDNk3`70DJMBJOm znPb!b3qAoq#BLn)^U;4TUBH|kpNss=N@j}WU|Slid4@-*o5@hi{v=NM?i0m89w4`r*$$!b!N$X@A_APC~&$UEPzL? zeh^|TMa=RDwq|8gp+>u1UIwZYqdnF(Eleu;GdgB@9G{{hS8G|bRJG)ue{$8Zy^L|} z%1npu`T;dDQP?HXhL63+6oI;e#Uz8T^bGlq>?^MzAKh-R+AhVkX;FkI`jD}I0(E-p zjb}5uIxbcAs5C3#DDTV@ks-_VD^48Le_ENE=zY~)c2ze&9@7UhI&b`lDTcfOuDgI# z$@umj6|SxXZTSRth;aets${xok&k}C^DGTS(@R8S z0c80brxeMonOsK+%Ur5w+-qIgMtDhoPEDL=rl&}R6C>7%`V z-03(HvcPx_b0_uk(0pDTQ4}^4ER^@ic?@K!Byohn-mbO zsP}?M%lvS!@oZ~dFgNyWGwVkjU8ez{$hp4J3VM*h_|V$9H{dR8AdGZ}il7CWFKk`& za2YYjxfBUkHdPq(Nj#D)0li)?c85(W<>EtEFs6D6pVL#UPI8=&oclIGZNQ_7~JDvpwST5d!9$x1;A~J zY}Ac7u=2(waQpKJbQts=mG*)2NznFZrKxg)T`KsyMN7nk;xPW>IAuloUggmu0=Gu4 zGU9pr%^Tw-&U3Y?T90s03QGYKu?PO$P+=2IK&on9ivYa*qEjnhFJ*j3|3#&X|J6;;+3?0P z(s`%eA&U#t;CJYLjP-C?>ZqWf#hRDd3T||z>{HtZqXreie7Ix>FSczq>oKtVE80EP zZeFOfT}+2KlV}cT9oF;Zzc4{c0wLbw44Mi6dD1ve)j!F{jWOvAEyg2t^MBu_ODf4x}D$Z zHej4W>jG9#z=3i*?f~{4g>-mWj?Kwx>GuikMnu@GAcg)Ax=c^`j?n#0|Dr3-TAUcQ z>u{fvTzMta|N9;La?(y~V)8fXtd#Zp(M;XX4-U5NQ@#<3!SI0Do96Z5_S$!!;XAj_i}e8VBDtLGOi`8rWI5TB4428g*UAHG%&b*W2-6 z0+g{q9O}<~m+4TP?m8k((JWYYQ-X8F2!!KAPHrx?yUAwqb2vHI(|)Gx>hwfu{)zwU zBw&<>>dAR=&GLbZyq|m`KT}<@PaX&jjaDsxQG@09ly0BYB<=OPhA?$kC?R(XbRDb^qe1d6ltbh zU6uM9f${l$dmZpRHkckXQJ|gJkGGiZXI*}sFd;U#e@c1tH4Slq`z9WlP)&1QxL$FI z*~@TEf8|>zgM(lLBbLhEwv|b4eXH_M2oGq6wQ&IU*R~3LpWsmB?__(`N4?V27eOc; zRN6C<(d?*&m-Zc@@a-A;bTUn;sMmBs1GOe(XHT_p5Xor2^Y6?~PgL{MNdm2A|4?Oq z5F`r4-Q^JFgbB|z`>@J?&k=T8&;mn)*Su~W5y=%}E$e<3N3~qvO*zMdD@mmsph|xA zO7Y?IlTOxfbns`TjBxjRE^=c_OM#rpeNr+sNVi6qZ8qjFEQTw?4@NijY~HWl&RtdO zJ}Gd+XZF?aoie|TL5|reGVJ_W>cR9#UlN1=1=MzZ9cHwUqV7v6^@-Ve@ICYE$*QqE z33vgXtd>T*mFXXqiv75gl%Pps-_a%cEcZ&y7wy5ihNowVZY$)Yw3V<<~;n)_RF4mj^7E_6W0wepQ9# zBeB*;lLQytXNYCwa({DAw>!UJsE(MTe)^7?n_9ev3%zzRc$m;6L)g8xAMZhLq#Ms& zc8rH_svDC7!FwNkdX%OvTXw|Ic0z%$r|h0Fj2~@lMt?Gg0aiBtj{wZW`do{n87R+QmgYfNh~W`~irL+UI$K$4hyM8RGZC+O2Sgo;Ws4p|ykNa#2JTi&&fzSh zpbsA&C}oLpchd4az{3KGw6u}aBM=doaJQ;{DnDJQBPTd}i=1CjGd1ZVF}&-U=J$2> z!tWH&ZpxDf!-=l-eu?96g+B+_-`p2{$$6+xF&g>pe=JlQRD;8cG}iV!xs31e(bbYr z@ufWaq}DEpB>JgP*#Q+jo1b`@v{1(0E5EkiS4n|>vJ*;a`uY3nuP-k|IjBeYN9a@n zq@B`-`5*O{TyCN3Ik(){S-YJ{8zKg^X-tX7tLyk$x6?29x1{#IK1t>UZ*x)d1 zkfd%(kC!bwXZ5uS_>{t3I{nwZ>wpzYdS9Y|OhDll0%I93% zDubV_x`Gmi=>B)7chv*v(Zu~`+_iF)`5%Ug|5sGD4d!A)`dF-6)4jt+z8ioIR%mXz z!S2(HDkh4?Q>;r!3N-t64*K?ckNB1D&kF&C(ukSOT6)&nDhJu3<5= zRAiQ-aLM&TYdnn@acjq3s%XH>89cj=GMeb$%E=hImQc*TtRKMIa#qpS*=})H@wq=M~ z2LgyZ$1!1Fcly(&U^EXYbM8+JpE`e(Jh=WbbGNuOnZ^xqo)7za8c_O*IuoCN04v@| zrO0-oA%(t@1YinUn(sRN9`)|p+0|PA;@_svsY7}Nmpfl-@*2$UN|qnxALE_fQ|8YV z-z}4WdD*n|8wq4NYW5wy`y>o8`NpNk&B0L#K~~(F9UfIm{M3EcItMRVS+MyKPug{t}gey=f zGp@ zOE>AG+WW6vjDo_55-Y&WZ#27x&E^ABA>uQS!I8dmg_UsSj<~M zwZ^Bn*hfPcf^kj{z0T|-bL)@IY*g8CjXkL3wRxtxRH{kRx|{Aw_AHx)1T2ORPi#=~ zOt9#Y_d9uQ%BajCyWtEn=JoaS>uXEuG-=U2NW!=QwNr5`q}u>np3o_W_E zo1x^U*Y+w?n&$x@voDsjZKzBg^YT-)mo{OYG)0Trz`2ogfA!TphLeL3tf|mh7{^jn*4{d*BYxVSSjOtGZxI2E4 zFno^)VuzW{*<=lrXMTzv$&l${z(SzYvim&N$=J1Z^Pjo7l=aI7G5IDR#fEn*=FN3> zf-PLXRnDo@eM2~)55_<(1^1T=fV=q}dP+Qk>O~?FA6+Jz-|Rks$s8E_<{ppgJnrJ@ z^huK-B>=~=i$ZAZ{_)piA^;ylamI3hNezT>rt@MziMF3X=FO4|3sHtHx<;RRzbrJ^ z;LG1}GWKt6^GxYp*+dMGzxw|eEtXoXeWo_XsK#d;pZ4D`A9M&_HG)-U+)vmuvWOhF z+xB$8Rotm%TTAXYgqSkf4a}9yqRR*zi8t+`e})&%j<3SqgRBu`^{a-BtY2XIPJZzqtmHwxD^ zRhjvin<5*8?}ayQ*~Aww~HRwM61O(mClF2f?XZEVt)xD={AHE_1;T26>Vj(4{dI~{_}=MX2i@0GtT5Hkbw6KXfm zPG}A>|6pH$7muBVdmY5Y#k<}Qg9|Fq^geCP^C}ir+N2Kd)I>Q1`lKdU?CavX%B#A~ zJB%e45|nE3$E$QlKMsdbWhp-7Ufw;poB7o^G6tlcm9E*7*t$)>L0J!K+c^*D;G#wH zzicLP0`=zNB?zd>8&-BKXUpPN0d;UnQNfnf&&_OWvBsA6J!1DH*!tf{OPi zpsr)r3ql|3)cQAMZUMp6q{OcFoLouw-4VZ_QfyCq1i%eseI+CkYU{|pn^n7{DHHV; z`G|-e;ri_J6T|i2dSY*!Stjl>aG@9D^*R;OcJnNT+6yTBwfZf#WVc?v5{ysB@Je2d=zdDA#S#aY*D)?_m7VZdfc$YZj-z zAV3;Ck5p=v1@fWG#p8Yf-QRK>aD>U!?c?O7eyv6ioGYBY1^kzo@^|xBG~Og#az9j4 z!Ibx4P{Jq5qcTn)hS>~!u^qcm#rB}v7VU4cA*$p9QK#K)>bpgxoH>5|n;zb$dCp6g zMRS4Ub~ob8z@2+sY|-DqX2loj5PzS5rgM9V>ZT%3b_I-sSfYY-NlS?zI_ge((I$JM z>i(3ui|NRxtG6a+o`YeV=1Lya%;*$!^I8L^_Rk5Jrtz%a~1RW zam49&`5b~`e?$?RjV&FDbX?6<)djUWN8e2qZI8jNc`W-e#Lc#)EIJo;E)Xzn^SCCq{!Cj=z!3r;M+qUwlW@;s|z(Pepm--iB^3h9{Beu@8TGK(`RYhu2(y=DvUbuu zDK?!eEh^kAUN;o;Pwc$r*012%qC>)4nyn2Aj*Q!88G-8p0-wCW6r@o=@{^fBaQ%?Z zm*HNpiM?Rm*8(r?DrNrF6VZhO7ONIXp&xm?t%n3WAHU}M<92l?OL2Mp&!rGlCKoW0 z_WKu*gQvfE0;gW@eFk?F~ZszwqPzL}~fmmJ1fmNG# zTpcZxD45_{m&}>0%m7e;>^=$rpFV$>a=xCYQV9MwV$m?a(CRQ9__d}-lUXv6Kzd3+ zoTPSiKg7H$!@xWU6SUr!_uOwmT_U6bG23CF-Jh}xavsr*H?w#+Nj%Ox)f$6LLKK

e}u|n+#zxH=^(fd9cRZev`h2G3tDce``asT^X#)nMM>b8VV?$^=jd*Poo#G7N7ToYn zkTwN{}0P_IM_n#TMohrlpUt z5`Rv@1!1-FHmZLk``(t%C1k4#mVPxC9| zF<}QtUry|Uk=g|=4Ov(};I3tg5tzXWB8fxZe$p>7*7K&t>|+qe3Q*M)U+I)7^mr8A z%%OVNBS#yjys`Vk^~cql|FDB{)Y@Gh`5`wk^_rYP>FSS!;i)GaE6T1a1gqu`P06)0 zZo=T3M%cTTwMxYDJyP7B#W?zJp^ibY&__)a$f?mLbPZUckEK|ByWW^`C<)7&6n@0) zQ{cJXSkWc8rX;fEoJ)&rAJD^2S8wLMxv#i}=IhyVXuSwJ{(PjtBK1}n%A&a8jws39 zt#gG-Isrn`PI`mFx3##~Bj}H5e(Cl3yc!pU)+kE^d{$5)Z;B;Uf;|8F!%g_DI~`D2x`=Lpm?L4@CSAXv5yP z1f=IzPN4PgMZ8c|D%#OVk-(In@CsMjNzH!3_c3v(@{ok6q5ba#;xS zhmZ~!`@elM&M7}(H>dULn<^?>i>XnrXmb>UfW9m|$f5I8qe0$rv_W)vEnMj9zadXG~Im9x56x#=m`H>s;@J^q@^5la7 zVh7!9x+YMwAxZR;mvHpdGfwEI(d(?ojHb!_OsV5&^|Jz9KuzKeUjsaKAZs9wRnmHp z1AU%taTD0O6ccClWy;ek=2nVBgN=I^yMv-u;MSErW|Xf0#?18sCdeG9ZR5i zve`bs)T?mf0kx)I3KD{h(U8MFPu$kxC zw!(rFkRp85!C7)1a$|q_)L*?ACd&L9$021=G6Q{9Vb_zq5j`u%aFP=0I78z*D;Gbv zFLnQl^EO#%LMFf5Xfb{H$_bSK0ki1_&eeDwn+m>;8b=zO7~;=}eASty;tI(y6+8cL zRN7hE>?E}bh)UbFEJGBM1egQpn_=m!$&LM_^ddUD3|;11vHjibFtjJaqmtf&@c=wE z%uT@nS`P0D0=6k?w;ij6tNE~aYGf~?wMek@obhfDufK&}`PQLUMrryE=~Ficr-*-T zqd>LK3Ykc7|Gged@~=?!`YcR4Qu7f)rk>ZfNJT6WxsW}SD8@Clb7|7TAgbG?DZ1Ib z)-@?iPZ9QlRW+Ke|COU|-Bd>Dr%^>(d1<1B1FQ)#Z}Tpcb;ToPRTrUqV%r7Z$jjoh z+nw>f`fLXQ5ve=+WG;`SORZ+p5?RHlcI6q~d6IU~Ucp;fAFKZsLREQ5j-G53QM03q zO0TJ-xhl=SKHhdDOJ-LRT~zDlrX0VFiA@#%NW527(q}hZc}sM?(-h^|jz>mjT3pIq zeYA3~rJ@Cyo>?=R`gkQ@;=at=M+#PFx_?Hr7}c!V@~-$8n6*gLzKoxy^)ikd{Mxnq zJZ1E#kSZ_tQ{c7(uP|k-lsk%dAngm`c-E2%wYY>o9^I|(Gw*g$v$*kIJLk@1kG7xn z@BmJ|X74Mq!6lr^4qtyh54E*h=3J8OGHr!|7`g9pJFC%a+s{lqrAzag?@~XH#CJzG z4;S{Y;rI{iF%sZEfQx+islRU3-`3)bZ_p@)n{;|dM5z}&zS?H7KBhRLQm1P-7+!O( zVPz&*3tjXFndDY6>#JKVbMnaJr8o$bDtNkwCJcNJyGZ-gyfZIr-sT2^#u`ez?Zhh2PbtNFbj zdiy9qUhE)KA>%b$;<}Z%B4*Ksr2yPb0pe21XH4rbj5qfeiR{4_u zD-a-LXp!a_hyRz$K=i*ZgVsR&JwzCPSP*w5AVB`}Ys2{|Fim9uff5!SA)2gVG7_~M z+;|a$9N5-;S@q26`=TJ-=)sL=U&-Yq@Vjmo^6R7`hkqiP&ia?FQ>VjmRwVB_DiFDC z;Jm`@x&&y8lORi7nI2OK#7Us>`~r z4j34mHaSJU*+C#iCMPdhyzE;6WsIa1N_vZu54;axK|mt&d66cvStbs1!FF^&=3j3M zRlH;8^LHPWpX#stA7wz{1iC(6!8>xAaFvv!v9FE$Yx>t6qMW}s$W`X)nRfUODnnPO z@b~Kcv3J&UiTLFogp@2&sc%Ee$VI@7@Fh|qN*I2Oer{=* z?XviX$_VJ_+sG~7>I_y-=GxxeEUl)PwZ#^Jd>G@|+;RJyT=hy^?uk{;+--e+?5^?N zF?pf;g9Wyj_qBa1L&-88$zLV5Z`PN}i9GJ&*TR}UZoS_Vyq)cJ9(g?aO3LoNhx0GY z?<}Nl?FeaKx-qn7ne5?H2>QItVePp2+%GBARJ*Tvgp@EV+^`nu2I#L*66Z|KPv{qc zXz(<=OkAXSV|P2_0yuZv4K`OiW(STwT%X%8{|hjMbp1< zeIhA`R+$EcySRodu8L~u8akeN~%2n?!4Rm!r@~}nCO57qT$ZRn88`s+ji{g z&m&^Z^n9?jmf&P@@V)S&Df*A6Cs3sd_l zPw1z{LbnkEGmoPm#DD&{8q8q#u~5NFKHIo2A#EpglQ2yP+2$W=2AVOqA!9W3ftP^X z_R_!>z8;@!Yp~6P#@;6&qIN@h{z8g6)Q;kuWhCGiBy$(lni0WYEz#l^qA=mLFJFaHz=WyaOgO71?5c&W< z263xnN9sj$Qb<;9i+x3}@l`zG&coU{ew<&Yog){mKU5Zl9Cm_U&8SU#0n9 zulpYZa=?{+po+Z)Kla6X3FJ(dd}2t_lp%9tve$3^G$Y;Dn9Wvzf1dWP4-=4UV7rcg zTbc^(J>MYy(oD6JdD^*-hh=*XsIaDhx=;oMv+aAN|M$+veKc=JiT8Vqq~OXJKiM*{79s}0T`1Fdxdo;I-PG5!m3Jz9S z(C8)TVBeeS9_wB=9mp2qC*r&tLOzH4$Sr}g-&KB{f2}no_r%Lk1wZYc(jo@x8sD!% zzfc_tDCDv)%9k1Rh?Ox_HJ^_NHf4`E*!)@0zmE25whQ&AeG zA|(nUU7LuCf`oJ1uy={Sy&_v&W>0u-d9TW^gkPC*^5qPBKDjhK4d9-vR?P;U1W7wnBH#B8`H^9 zmE3S^(oOj|s8RoZfY*_qLTP(3AY)`@D$^hGM zAFo~vG%_CTbanTWm)kP9qhR`8Vad9H3q%buVVJdpIw;Wp{|SwF(aMBPi_sfh)ekAG{AT0*RX|G48y+! z$N%P+U8F1i+je5jF`WUOt(XMJ&x^a#C+=q4!3=O|pBV2OY)B3E%2?T%BK7{{e>{6& zyU%vR8zy-v@A*+_+-`V@XSY>I_W0ww@IKri+q&&Bmg!<9XYY_c zl};G;0uAqQ%Sq0rIlBk@)1RluRL!$q{H9pS9x}B``WrwJfE7oLB552&TkNO__+vOB zh_{H3&fa?uvcI@*p_`Ph;XsOX_6ik1O{hsaH$(*?y8G+cdmP*Wh6#+Yg16dTcyAFG z-rMlV!!rBaEKUCH)Nc2={PkK)c{$r4Op+8V&CpT5mU^6~Mtb!9?EYA6F5Tf^QHcy& znXT88lNIGMEBDk#zX~R}V+(28esOY~6jntV{N-8i6gYnj29ucAt;!t&$c3eA4cMFe zpM|xHH6Or5lajUM8#gDLO?Q=!X)|!}H+~3c?g=&0NZ~`Q?vAK3>lTLbSE?x#&u^jewUP% z%%<#?yC$;n^tQGBsQ=_~zve@JNBt-3r)!{5it>ag+52>QCj=jbENFXMwf$ zU-N#b?9Uz*%X^yA>nyswFA|*0gRpKE32D=ik&B$YOV&2i2qVqqIr%wN!ca?QvSRso z6~^r5b;LIbqAohw96zac(9WO_GGjS5EGvJS5F37o@lQ^X&skl`+K^n&a>d_eO|EK9 zc`4ShpEzkk_bBcvYuH(3s9iSMX7AYu9ap;RUsj1vQ@y8DAxnI92@1vU`G zaq?p;HqX*d(Dw;WC@$gIhTUJW?}ord(s4;vynyj()lx~|hWp2-pp#{#gX**=x=U>P z#S9%8`!-T2ExHDYiVr_&$D0yBJ{k>U$9R=U|6WK{Q3eP6Dq6IwVG>v_&_4avSk!*1 z?RXN<2ZT%*M1AYbTYO&|%Pc_}JC#?2Q9YSkviyqjTc16eX4S*vo4;2{)66y*{!=0h zQvY-ePy>P#bVkY=O!$_wnyK-5C96RvIznf$@EizHvSGPywcmE5qvgb|?Uk;r_x=mi z$9Mu`{9BsR-@Goef{w)moEU!pxxS>atj9m?$^Na~pYDxxP+|VCRj*rF@NTL5e&C^M zlIHdyagz8)xW(s$woh^hclT>gX)8QLc9fT&?S+rA?B{ptf4pW;hU%oxy)8ysof2^m946AoUr-Z$WA>hwMe5c8-f{*w2jR=v1&FXS!Ud_2$#MQC zXssFkIR$m;Ku4&&cFvd`u=J&|&y#*sK?Pp#6e`0Nc_*-1c20 zR2FWmY?a2`*!&GaLe_t}b}j%E){``O|Zb0~X?55``J^JMJM2;Mj>CS&0Neaf~| zK^Tt!3YkOm*>oi94^DQ_%gc4jycU|QbUrOVvZ_BkByIJ6MK0!j50tW;a{La$Lr|L{ zt>&NMC;}ZtYQ;u!iW$A|dCQX@Pl!XUv~#V7zRH&DSQm%RLixg1 z_2n9(QF^`xm`y_-dxw+9{m3dtEMHRrtjcD&`oKDXEqmBH@vR&8SY7b*+k+>|ath&N zN;>W+6G((wfhNY#kL7(wi=c=j3o=f2wR@j;;;(ikb@k%z5V~}O;AnKcU~u76+nv34 z;IEUFX8q-la`9R3)I(R@Bn6xz5};u|LirUdx!1x)Ipl7qoi8zFZe2enE2JM*oo{>n z&Ey^xotNpFxNzmMX8je-qfaAoMf|We7qOiIR@htfb3UO$hiB;yS_w`Hs<4*^(RVhI z0}M=@ee9k{WLT>kmX)AHTtJbEcRR#}Q?oaY3ew}%EB6Y_@l=oA%dJP$S0(H2Xn%yS zr&H35huO-}9lHO{kvHjmX45V9F-xpKSCci0a&)tOyezwJ+RMgcCQ$gDQWy(V%`(FV z{H-x=8hbT1t=n+t@v`~3V9n|3yoy~Oj>e$a3uOS?$|L_^W$p5QZv>12( z1iBHh|Gi=_RPsCOuRKDeIzNdcPw}h4O6?c2%>ts~ijt>BrM#|M`kke@Z?>|Z-P1{k z*W{4@iHdA8KAW=GPoDn*j!(jQ_;OekdJ z`EVhuoumo?Sq5ZWj+;)3{hXVN+rOY_rRqj^l@|K113)~apV<&6!Zn?a;d;HxqtgB? z$OPcK%8u^9SN2vGHXZSgjUT<1LK!~WjsN?ZY-4)ZE2}7H#VHX|#h}}Ue6M%T+g9kA zqMXwHY3}Jzp9z4`yAsAr^(RT7Z-AWv*0we8N4<^YpvK*Srm3R52AWDEBD<{sEe*ES z9ub-FJZke=mjiwhy0R1fYgiGhY!N=burWrpbhv!&>ZI3j1Tcap0yxx$0pe`IFwt0;0|W`rTm=kBQRB)RLM@ z=~92Xe9d_5tfymZl~0Iuspa(%Jm!*lL<@3V@+RQ}tnx9Q{u!kBH}2jn=I7$bgm(`= zi+W0|t|2?>&QDKoBY(r&jO`DS!)5)Q!`Ip+?J23oO-l3PWC|9UI`xH(d5p$GdA$H7 zwfn>vP*PKv>yx?nKTgd_Sw!E1e=BO*y;#gJB9^;H1);HvhZ$1tz`h7yO=k!c(<~Tc zr_IM%cwL`jtV6lO?N9&h{s{vzYa#Y@%>7(=nUYU5(MC*asDb_Glj7+1D3{B-e2u^% z#*l|WJTLC{3(sF)dSiZWaePSuMqV$zYKhJmHD#%lO?tS5E@l}_LY~s?Y$5cS<CC zF+!~;R|mWDWVhx=x;xI>LH$Ea4(>lub~8ksh7<8YT-2^yZ1`vmjHI;5I7qUOp7<7i zEQv~h+fhUAl^xC;pSA-gydsr?q%g~va=%#UIoQ)0%ngZVu(zs&b z_LhYO9>;Lp&vTlavDPmnJhSi@A<~M!%eebPzmoj?r5tPp2VCUPT%&PVbbk&3JiXrH z>M%z=Wx{XPK=;GNfK?t(e@QHkk;A888j*tNk>J_~&Ut9Ai9~W@Pv;NQa6Q=lN3VD9 z=DIJSd1CNMhc8lInTOA0sjM*h02@r;r{I3WOQS}Fthw&-Kh={vH5<8DV7PK_pdQKg`W)s;wL;%%^VF50e+puoIXJuSEvzF)zLGtCXe z>pjq2B4LD*dF&BhckChC3;cVJF8t@GAME^RD6lFIu~crRoFGy68QGn)e8{yHgx~FZ z4sC{^E+lA=oOgE$B*hkeKC~WTKFDMU5AZpEN?Rr;Jp+g%ym?(s3Xf~H8}30nwQ~hI z_@t0o;&e!F?Tus?FYZ=uBl|3)w(Y}}=0KWZT;bIp8_!oz_G?vihPykOpsEqRF*&2X zjN4n1LiJRizS*uyqRDhmTEe5pUAyW=r3T~hgZ8*lL!_)Nnla9My35+9l}JIHVd{U( z3EBhv;0yYjHX%+O3Ul)LZ>9Ry8U1SjTbWPK zn!L|w+s$0^y>{VezA$iKSOR)4@Z*0h0N5DZ@V^rwZe2<&9UJaj3LavGXZD&Re_^Xm}0FpEp>|w zu-pO#;JwM#HsJ3OWAdull;e?cZ>a{NSPLx3AnuetLDVZg`iF{Bj)V^n%JFenW2^Vs z&%rw6lX1HHS|EY)UfT|D%FKj_`x8_Pnc@eir|5FnxK62`C;0fI|AMl>;0Vv*9L zA0&CJy{%?=+7EAzMT>0Kt89=I2qUZ;uYUfEHgYBUPA=d_@+s$xPI&1 z;IGCeE{YzJ&iF6nZcon4WFCdJeLDG`Kno-(L9XQ&k2Y&LnQO#X$aNGT?+V*JiUP^i zd-mFumlJ?1+;4xldNNH;vV?h|n*Y*0QBFhg?#5-57X%y2$z|3!JHiSj$u&{#jK-ICrfQ`YR_Ak$!-wzHq#2W(RdiFmK= zQTTA9A33y{;lRYXxlhejqlWF&_!)i>UhUL^uyQTJd!=PHjQLdZm3_B^DkPuN_Ak8! z6yo-fOmx^OMs&+@Va>IPvE;5N^HVJwTF6Dv$a#GUVqT2+iJqEc99xS~#+*6q-aF&l zw44V{+$I%0srNBshf%y`jH%9nDzH!B9_i%u8F-9*42;=*@g~PFq#4xwtcyCDy@cKB|)Wu5K^- z<2XX2_OSMj=q*dD2SIS@yR8$*M3jnsF7sr%!VG|rfTK|?OPICv*_BmO!j{Y31#bD` zLgmMXw*p+cX2WJR^q|2?Ck8)zOgKI~EfnYvFcgHlODK8oauVM~KPh{UMxPeYi-e*R zIt-ANYUtIkuvURX9J@260pmb~4?HP2q`C3pbr%bGdpUfO+je*uxX2_C+jO|U;*r$S z@*$`MuzIm^UpKP9NOA@keOsG+O$0b!_5G4a4nPi`0Aq*^*JGNwt2=&DJgrVjq3|UV zm_LBaJ=sK&>_4#Nfa?Bw<^F|83&aQiXGoRAzIwO=q$~X+@GneMZ&6-Xv^c{}{uAqk zHh_lTv@`dV_1UEv4}kp^>E=wLh=*WpuZG9E6)O-2)#(iBOQh%~H_ZucoqSWT)7Mx+IQ48~a%zq!p-6V}lzt}~!eTxscsu0sK1P#*rq=YiJl^<_ zonNF|@XVMnYk_;nffC^}+l#PcFSdObv53Ma^!xeTY}=A-y#E89S-BPl?O`G$TAnp$ za}=)RtpYcX|I{7T434VK!i^2kq&&1Zzm1_jO#?o35R>q^`H!&z)XM53K7UDqNXePY zPfs7l9isQ$a4<$VpvuK3g0$qUzwWE#Y1#|cPgk>Y%CQk$#&7!fZL^(!d@_l1o)gOa z6v*-?b4^hZ^7dEv*-L#V)?*czEKOlTMZ=o6uI=HTKQg4K8beYxDKB%qI6kaMr z%*ZkPQUBCiHU1M=o}+%8Va43rvE%=!-gZ`eEjC(&{&(=&197Pv^(qUE?L0#>=kTK$ zu5JfCbh=*Ur>b2b@*U!3YgdpWH)@kaY8{=Yx4SFqznI(smuSbIS94 z&y;=05*E2Bo(_ZA>0l;ui9T(?7X4Dz{lX?c(|y`@ntqitCH^oiV1anpH?J0Tb;OAk z#A9-Xxz+xxC?z5`7cJy&-S&s-F&jUnHieGsIN0Lhu}Uey5)N9!T7p)eBwOLLN-KQW zU)Jrk63b<)zY)g`1-nr-to~L&>o4sJ+XAjDQ!0~t0&eEnD$2@6vFUpu9vstRm9ye3kaU*t@5= z4EJAQWJ*4O&OGLuCEpK_W|*G9cq>Aff9%5DQ5hl&gilzFT_K3&^P`(Ve(k;~Xt)vJ z;5W|_=vWcS14jp!Fg zjou+l@-7v12#e`+^R7QoEGg(0R-Xbe2W3c!v%rc9?>_U-*5QI?n$Us zz*=V1;%?W*4uH&@Gxcn|z;2f4&j&Q#JN~$>U2?kg9DHgrw^kW_L|jVnm)pARt`v;f zhb4_tihnJ8GAQ;KVn{lXTZWT1WJ&SkmaMtn0_JU<=f8YX?l7Nx5bq+x`@Fmxv3mKN z(m3VY6G`9rn&hIs1H0+mC_-U($?(a~FffX9mJ$ebX#3^J?Imm1BlNfY%=n`hhPH=4 z&|z9{6txX;xDol9Jc8;d^;WO6r3J5ZtDRG6%~vH{dkGWX1a%cY@Qv-ySBgr7o{2z? zeBYyT_y^t}1#qj!tznY){`Lf2<<9);oKZ4Cok20}urO!O7xC&TSlMKZ`|L!FUhyjiay)d(jC5Q zSC%#I9&u7}m$HM|726^v8S$h3Nse)hH*4y_xIZ3|y!X_&&*VVF@|qwkYZ-1*TJ7J+)HZXuShw@>E4Y>gOlc4 zHtWogNU^Wx#evRzNH2hwvTGCK?WKr~E|`C-$oLg3tzU`Z^O_5L%`1$No{94BPaToQ zE}m|*T>1M0EPH{jiu+g$m@*PEe>2FoV`AP2Qa(aiiC?t>g!z}czJl` zx8qjh#c%W*&7QMzR5?6!l$O~M2hzI&lddXgMtiiS2Dk?E;C4TpJ6cG##Ry7%SwD*I zz%{2V(ArfZuRSRuJxH}oIrgTaiNj1Gv5GkY5PQ8P1vQUv@C9@-2{ZJa$XN9c&%T z-_#8EhP}Md>|=vR^65=#nT@)O%GVZ8+0Sz=o*v5gzQjTx<-#U=0#rC~9eBl~ z^Mu+b==IDNCuSW>>+b)1#=8~o?{WCpbS4c1iS}udtn(oeROCn5ESCMLYBX1d*=v^u z%p1m-7Mc6iG?D=2iyuuvd}Sx_oaO81{#0BQP~~_}CZ9Drv{V74l(j(zC}CVFhg1qs zxU3Bh@6$}G?aG(0N9YKh&CG7U{bhKmn_M;YHB^c|wIKMEF_8rQsDJxlg+qAPB%aGM zg!Y+x4MXLcsyEh5>!9Q2d#5e+zKEbI?JG!*5 zc2%4~SM}Z5t0lBJ&c>RYfV>Q{BfhLZ@OPbrt3%3yk(bn0_lgQ9@Z_8>Eu*l~Xg&{{ zF62p=yAzw8#fSbQcD~b)^?3XP@QBQJ!^h{aQWTfn?*UwxXcxrinMazJA*#D2mmmkBb2Nq88YNfW5VQTAHMr*gWc0A;JDpVCdeJD)!yz=ep2{;S6Kc2A-@9wZS?g&K z;Ub*S?nEFbeTa}x?Mpex-Xx>(PyP&C2Lw5NN3LXSy3WVpRvq; z#s7Dgd87hs;dV7;Hf2 zj5rYd;lHq$3rcW*mqYqvF5v_-g}#%<&|Ft|EjO}xVjW&rMw3RZob#!+ttrGVY;D5N zu+d4Pct*w$eK(;p{`eu`Rjy8U%1nAmV^gcOrM2-vga2(NEJpnuDy$)jgyRy&#T@HR z%5JR(4a*d1C>oWfh12&~ac$ZV9ZMfqvfUJs#(EdPeZ?l;noy1Y;Lbt$W*ytS@b$Ow zHptKjX2ArGg6`o-C9{c1zsN*?(GjRk51g9k&duazK85#)DE%}dN;Mw{Q0aa@qn4{) zaolMe|N9C-|CD<5^E~h&;(yvWDdsKxci=@vCBMD|QF__P>T`7opu#dyit=>RNb)#Q z40*%aQH*(tgXLw2ze>>Jh5#6Y6-5B6X?-2lkY~KPtta-6cQW3d>V6l0FpKc&w?5qO zjW$`@)aake<_#*+x2$psZmG~ z`Rh!xFkvf@+7+I2Q5|^Ur)F2Aj)#Szqe7Q_=0yVAxDO$&6dOdTosli^+f0Le41C*O zQVZhli@pVBRXnwkp<#p<-gWtV>s?gh*3IMynx)qqnZ9Czx^CQ462vL<`o#~6q=`}1 z-k-$-cRb!>-@!JF>MwoRywBJ0TD0r%-g!1>weS|lhS%m$+Bj9=buTnp=e=4x1dS$) zKe2F6IILhsIOJ_F3Nh{lOxu!UYS`Crvh^L_o63mrS!aXZ%VOPtbX696e^Ca99^Z>g zDM5~$W;T;8$hhDQ1Q7Zmqpl6COB?NG0n=6-b_^z^>zvm%{EG*3n5}5~r5Qaqp(D>L z4yEZ(aSsCEGQmm#`NC$5v}}#Dz3`_CD9GnwGvj=6Ce4$e$PT8F5-#fcR#2dONX9%x z)J=y52J3Ci@Du5Ult0f25dmP*obXNC#c0Xs@Sf z{9re~yI}row$J~@UG<4Fr!tsjkrbC9vFS{-iyUs)BxdLd-*c?%cCWkn1hcR2NOvA6B9l6Uc@Ah7U=LyKn-=koi>O)z9Em{QMsQqd-> zS2sK<&wz5iktU>b1PDlBk({mb?qWHRk*jh2|3F=Yw$>%*G0 z(vXy-{N9obFnI`UOkQ7obLw9C6wsxOOh0#-3HwNyEtJo<5<^@AOmj>>%8d)2PBcy{^Yd<^OR znTkk*m8}?_8qdDQeL5uHQAz7zXt(*_BTrljZ1oJyGG-P5vx`VZc;aT zy4#)5e~@zFjnBm5KQa<~Veoq(^6nN7$axI26lT^w{3pgvBKjM2qxpjZIo=P1o5$RT zE}6c4s}~+mkWBwcCbh@+^Cu!rNN@NuftG5q=eGb?N&oT>e$OlwvS6AEs?3gZ?c}O* zG_J|HkPk;G$M`*dE)0Ss*?0j05JjSx-8!U<8ZO z#|8dOY70M!(FoFd-|4DL2)C~dMh9P*!C@y$63Q>nl6jJ5AK6`x2%KRk;h%|KjacR- z7b&+`qN)`fUfxSPU5>OWM(#E~nqj>ZIQ#2Xj@=jTyNt5*?-=p>e0|(ho|lXx0&6_& z{jCR~IFF8p;*d}YwOA!>Oz-a>_yr3>dJM&*K*UY{7(OZYG{LLt%$^@iYk5b^p)U6@ zbUsou7|?mTHi92CBJFY;3?u9P``Z9XxZ1Y2i_cuAeKM-#2Fr^iJV;w9A9*)ACVUAD z`tV+1sF{OQL(?YPoFd@oEr()qnVvi|oW>45D9Is)6S0|6FLWANyx^(5bIDlK)ppGQ zpAWx%q$Ke%;Eo3Zny6#benY45YL*T6uBYXzg|SZ&z9L-rG&c5;+mWM=+ClEjueO3Y zme-p2xIOuO4}m*=mom)_H<2@ei!Z}H!eDP@_RH-Pso5;UEpF_^#{O zyjof1`BJs`@`{t?cpTK@*^|fTAy0mGKT&6%*EF#LhbLs=qWQE7UsX=Gi9L*T8Qz?_ zzanPqGADigkK>&#gwCc~h-3YW5b_|VLP<>Hm&XQ^UO>mxx+t^KXH9Ievy$|(JD!s@ z!8^`+YflbHr0=TP$f%OXR8ypgHdW25pR^F!=(Q3ii~A&kwrg-5q0@fw2DM;4 zSE-aa%li{34YTi7F9Qd9P!Z+xUT{X~B<%CPkBZ@y@QB0VUA6$WdqXFW z%hSfw&HZ~L(4%aEJf9T=*r)o5V8hb)={-*2S)VrHiy<&^NYA6y*A!<2b^UiO581E`C z^ZHF@0%wrNK~^UNr!y-MWK`?8rFXDKX;0h1i@O%uD?2K?n_db0>n@^~t@{pv3j=iZ zy_Z~`U-k*uh}JnP+xPXijmcs4Xz95eqFQuN{bwv&NQK;>mPYfp`fayoOY$OuWq03- zW7=K0(jrOcw~slTKp?2nW{$vbo|Aql_=GMjjz`F5_jcn;F_t;->+jsHRG zi3nyY(|Ij^LgF}FD*D+X>`52ScK7%$LSaUPc^4T1^Q8|u(BZTOl6;? zyz|>3unw_nmEZ2yh9qZuYwGgw)-c@Rk-42IR zb-T7C49;2GnGm|v;ifx!ssfcZu*5GfZLbzPbI5ail1@SjoRk9d@UTb91spMid!e zN#&50!#e5K{eFWFpSL^!PDfSHm{JYTkD-(xwmA37FP zF@qMb4wx@eNj6_V_VfJMo#RU%xr+jJu+z#gD-?Z`6sd1Ym3mGsmU<7HSaD&Nr+#UK zPx=uezv@KPEvk2NXFPACisYqGj1@aPOLeM`PUKT@J1hcRd-C`PO1jRnGg|#@H;YR9 zfk8X@wVyZhhI=@?3;r}oGqNAhz5=767z!fI+E-L!-B(0?Ox+-e;2VRlJ9f7?;lW0E zxYI|}-C7lhIb0va8^;ar>T+YF4uREg)0t#ZaFOAqh~YnWlM7`FmYx4#=87e~^PtoP zegI+|O2p8>sW<%tVbT%c)Ei|eA`kL$Ass43%FG!~3L|UlfL+MPVKZi*YwleX&;Jr| zK+a&dp!kXRTl$~W%BS>8I6Yz7WxJj5HXFgcW$ zy=6ZPwB4a2to!d1QuTe~Ueu=@Qaw(vBra5TPlz_p?vb1wQ86xXoyx$OAlJVcE?fpn zhe&K5mMM|a9d4kYw_v1@qC}hzZn!36%sq)I58-Wz+5zm~V=7h~dk5Wb zB>2k;O?}QomAsaplnM_9cN|W|9D|(CNM61|>pfwd*K}>RI}Ok;xq~>BlAh#?eBJ6j z9}^{^dm@igDIFdvlI$azOyTEU`YYrXF)x*}F}c0?2-jw!w9>ON0{_OruE)*Z{dnj{ z5tBE$H_vs!#pZmbPd3@1j9?daRWJ{`;Y+cb8q-gr1ce{7|9*8ERaDkr_04RCC99_J zpi;GGx-&7AaUF_{=NETHaH_prMD{f?pvd@b|H7L>p6m9^qsoQCuLj%yPZmIm=OL~m z1#U3ufiBLN?-8F(AYZLjdBK!ytm*ySlylZlt!HXCGPdp1hq30Io9l_%o}?i#bl||C!@>HnH)1&4i<_Rp(?c zOilQvaKu(ZLE)c+vHQdbbd>?p|NabOeC6`z*)&SYp+9&k+6$SNhP&k1F3`vH424B5R03tM0dKG^BTHFdxzC)N#T6?r7Z{H#Yt?a^^4>Cb*ZsQF?29@gwS2v; z2-F?iUT(XV@?xmf@eyhPK6#RRNsw3gVhV*n@ct??YKRTIUKe^RC}nvLly)mnTq1KuIpjH|#BO_0sJUKE_*YBM7pA!wIcKSeMyeFcde0NX(D9&C!KK&kU zjnBw8Aq}fGV!Ji4KmD*{gE{tXa^}PJq%zoi&!vQi;N+G34a}kT>zN$%JM^;q`q;eQ z!Cy*c(7^?J^xsDLY;PD~mtIW$;|3Q0QRl#$tEmh#ID9~Z;C2Cw)W9olSA?)D9Qjb1 zyer&V6Z_;27NYgg5RVq#RHbVG+lsFZlhjKIN?~}pb3AHD%PQ`ADb)N)yh2scKBox@ zg9Zyk2d@W;tYxX>Tn?m`5rE}SPB2#Va2HLeAqQ#kitDL#lCYJ<`zLS|*)eIsMvpRfI(|2iJ4lW4%(TIOl(yf^X7aXz0 z{+b`zYjCHK5VB}5^i=-#GlYjdj9Ew1Aytcin}eCORg)|jUntck!3EF>3-i9Rr<7h@ z8C#L~4n%g!;gwAp^W{dE5IfT1x!vA!BUrEnV9;grTH#nk zXNxc&)*2lT7MWIrGv@g=Z47KrH$jn#?x7YKJ$i zKWFXI8RObj@hVO|iDsdg^)l_EZVKVE!N?7sIz=pr!{($t+A4C2-;W#rrY(B@=MB-* z#De6CnF@px6= z^K{bGLH?Jl#~b6N4Thqs^EaP)#y#V@Rn};rXS0ow#%r@BQ%m0O&m5B%hDm>&hlGr> z3aaBuJnEgb#8}~Jj~3o}E1(wg;Dpj?qdEZ%NN4wk`|-sEh;XN|0|GErk4WdmZ~600 zU{T+*VzczNH><{A;FZZJm!Xm@n_39>Y#|zeC+AoPjSx?jUY#ss_s&w=exoM`Cw@_d z`><-d*DtZ?mn{~1SobbqR`4B0d>wn;kexC7J5D7#Uj2`ix7nQqE01l#cAD@=|%-Jm^GX$|#X;z1L*;{5q*7P-f-@DOWreT;#UKfvjry-OPKGH!fB+MS5iQ;B?F4 z*agb$c*;TBheucx zD}x|MP4zNuqm(cjR+?W)efwLnB4;Vbb-&{rZ1!l9BlOYsKzYe74NTB&Q`N#aSY`k5 zs^p;Id2YPzWbo6>bIVM1N3vGesN5!XaSJ^53FAZvzOS*W8R#Mz4rAkwtI3SOb6WNs zUsLE8DxVTFh>$1^tb4!SF3%q^66Ds#_yGRlE9T>gzs}+CKKrB02{TGVwT>U+Z-Vr4 zZ35S-sEEtb)d%w84_!wLZ91x!iwqpUpl)O?Xt}n7Aaq3JK|u*G;ZdMHsS@~Im~YAh zW!AR#fb$sG(+*I3=0mA%2^6~NOh#Pw@N3Zux-TC5l}8xzJf3(X0IL!R#Nfr8=hZh8 zn?Xr_z+P@h3m$SSc9P4WYK+KGs|=c zhz?gEzNS3?FEj(R4n07x06NNZ8iF9zE0&_f6aNb;W#HC4Uz3ipx5848^k}42yXVsw zt2uMD(TqQ?X+SF?W*2_=RCNHxj=19^rhi8eILrr#sUlb~&1Eoud5&(LShr&D|{{F_aw775FC4IvtcLi?# z!@(ys>k=NiPX^4{qvmgo0#)GEd4}PoZF%SltLdEEAD3=UMIK7XfVkNRzyq#7+|Gkm z@i~~}^u-!j7P#)wM`_iZ3M~XH$l8LLMH++6p zWvs3M?^*_{a08k;9xe=ClU^n6r6HEqyjhpCIi6h*3{DmQ=!Z{o|9|@7`r#n1uAD49 zq@XsnrQ+rNDkI7+PQhhGyb0jrD)D&Z{iu`Gstg0Q#gN&{bO>=J$kQ~ctyo^M=~WR9 z1QkFO+$e7)4-&ah!y1YQ1LdqE%wg+#ZHh3~0c$brG)5We_{RF#XnVnT9hjKL$2E3V zFL}%otu)uzjhqg_wm>1T9QWXij$=Jam<11NA}I(Hza5+Z3a1hxO}(y_bs=z+Q)9HwVRzG3?G)V&!edy@b89OeP=y&8yk8#ke48JSDI2EL+6;5MgpVbqEL`JLSRo8x0OJLhu6tSUEh4J-Zagm{jzw@y5>-yRMl z6=}UQsjbe`DEAlPiC|*DuV9%GN2x37js;g%cog|T8IJU1BHJuaklWiWI^FdK8g+99 z@iAauf&OXMs%4(8xz;Bbk#KWBsY8YFkUU~0(w$uBt(#gMYGa(sd7`&1A%Y8TEKLH_ zU!Cr)jqjB(AN0MX{>zTU%COA&&!(&MEuZq8f2qq}@gE!9yQ3ggbw_}GY#wz2OY4)? zwh(I=)kO6WiabLCLs9gHb_5lt$KmJOPzK&!cPcEl8SV@zW3^=E=VL7NAoB_H6kZi? z^>lt{3USi2HNs`7L@Gt{0QTd>SQ-)Fz1dxgfKhGcpw*Y3@Hz|a3Sl$jiW*4`v0pqU zA`x>Ri}YmAM_HbpIW{aD)FcK)k9{yYtb`4ir1)HChu;c1^YyR529ZJclEbCOwMRb3 z_8Kbwp;!dW6n~gpE}dUGS;IYVc*|zj)6xQfY2pJU#13E~v2lwR$1b_L>LeT?&p>I0 zPeB*3HWOQElSEBV2f$Vkup4*L4aHMQh&Mv}^9(NNU0w^n|E;nDZP4N086cny76Oy- zR@M?S1z5rnE;_jobHoS!i8+;HLB2P8-d&6;-}vpauO}WmRlS;Vm?jUU?(^~@rJ9MG zBtI!_+P*Y2SBv>O+p&1fzG}bebW;Nn*HPmewc%zPqo!|rGKga6WO|TxJVu2w9EZZS zg>6aJ1LdUtrh2|iU+_^{;Q<3jXSOE1;|DB0?US%>{1~c98==pw1jh^@Z;ntsI`k@~ z{%zokQz|tsB6I~YNb9kc#~+xRuvNqs)A-V8zFH=inpjO3q9|YaRXi1(#3N&#f^yvRNWPW~I$Hl0^i6 zF-h9~K0+9RW~Li3+GVo21G!7&jHGxA?dvIJ5*l_^ulyv>NO8s2Se7e^iGWidc4-C5 zo&0EBE|5<5TKBAtuca-Y$St(!*ii2letT>cc=;q} zv)*%i#_>tNNwbxhmFmMk9U)wN+GtNR>6&QsCN>M5t$%tBz=eqa<3a!;nQpod;3EGK zB}ffqU0_)3vzbS0;vyw8lUI~Nj=U&@DnwA4A+788*$dosNKcD`S6u8jr8wyc4`PdG z^#y4~lZrgRR@4K$uQwa%JIZ$efE_;}lN+z{q0KlJrXtmmh3PfC31N|- zl9kynkrFo;IKA`3YTI6l$(P+ORVQeZ7`ZDT^*DHzf7Ls`IO|k)Bb^|jS)+uu@7(ZF zEhdI5_@iIuM0l+Kq{KS4uN4dx2mIYl4PPDvLJJPO!dUq~Toz@29uDVXhkqgW0aDLD z!)}vt028TQ)~(O|G`EU_3`y{G&&x+XiPfzwN*4c&DgqdQ^h#Bvhlc9@h=(k3)w5|< zX;sFDb#@R~BfyKIW!qoHYJnr$yag@c6vyH&5#dYP;jCo{P+xQdkD-pl?cUXkXT0eW zWi=)LACVPylk_l5e_76TEP&A9e${sdD47yOrmj#+}|DIEt!E&+cey2=MJu@z9Ul z_qrMxxfY^h5FR*Br*3G|Nuz%%#X!HA>H|~*ho1j~U~Z6AZ+&0bpd;T=r)%Iju2{dk z-^v&sdE$}R&Jj2C5w#wdA0>j;j0g+hoHSlCV^+XXJc|7wn5h62;Rhozgrr!y8~SL^1z&=YAYu`)mXRo;b8qsh4x%zRwGPF+{XHaIeEc;8X={&6(eci5=XJRcPO(Xjd& zC%#FgU*2aNNz}x?_;43aQC6&R6P~KJxHn+3${!XAh26`vUF!2_C%$6ik4i%H``=*n zwQa8k_+`G5eyl(0$y8*9g@sSOpTK!N)Lm@G6gC~jQL%A+p|`HO&&g;my=%Nb>n%BG zcfX_WxlCc~E4&+uq}JBXm|*U$xsb5PRNP>ZKIG0aLfHGJ#PI8}w%HHYf~;R0Cr?w% zOMdyGtGi?u1ec4y@-=YHU3cC@I50ogM>YYM;Te4;48=J+S#jy===-}VvOM3#?~x;= zbGmnPG~bEY>EeA1Q%V_6)pEw_pCTkT4_S8x9VOX=Ja4tx<{$FWO2!F|4d2=f3n3o6 zMb6vR`-VZ_R-eTi7GDezNo(O2i2ZB0v)2Rg=3?v9FxwR@MYFP){Iy!eK*oWQz>&2BsDva-;v-#G2YD*YK`JEs!q zu*_P(;soDatr%}zTQm%&^r?b%B7*+dGe)#On2(L*06%-SYS-?+VP_c)X&<&I2a$8Q-z<8Py;}P&*P1XXysa^e5X7nNk>Fri9p_2-mjN`3>HM$SJwK-!L zznKA76C-nyIPaa{xKQ7eF>e)zv=u;4I!2;@ zRQjbBlC+$l3uT|M5(rHOTi+@)Vx7%ML zAqgT0i9RDY(R;6h5F(=Ys3C#~qW2jkh~8WD-g}KUO7z~PsG|>IFzSrim)yVoJkNjc z|BL<33l0u*mGgV9wLYuG$F8-13C4^Q%}to2EviP`)2Tvd1;Spj_k`qEka(!2qHpV* z+Q1$YxZ+iI0@sV#Lp&j|KRcGI}?G_9h#2K?B%eN);aEgubZH3Ub_(u zbFm;(rPvh~X1W$h)6bJ&;l3=xTbg^RNeKz;?`%*cPr7+|IajI8o|;h0?hs?$gdQjP zv&Wumm(`GoAKFGdQ~>v|w$Z$i2|0TfG0O!KA%A5AlClZw^vF=qYJ<+`t@n9Fpye=Ea1$^jP}O4gQml_J$yi-XcmFPHfvNP` z$hCc>T$a1n3eZcRNfkX-0(pnj$(&4F{T{8@pI`PhTS6%Gq zx4U*8s;M5lXaszQ<9OGa%?F=5w3hq}KpX?S@?%MOrL{NQh3koQd07i@nEm4UfocdyI$-NF0r0guEz|JtC@(u7g$dPv6>3i=t!qTa9GRtxMr zQhD zpdD6_`GtEC*7Y10C(By-EAvOO{xr!}^ko34K0^9+JFOn*q8wh|L6w4uI*eS3Gv9nU zc!!GOET=?@-&S!z%JG0-%VUOyJ^f26)JXK%{ZbSc@i!!oiT<|H8#GWskUAk|{!r?q z8gccgkZvNCw19n7;>bm^>iyX~9JSu~gA}YuNfK=JJN|9gV`Xn7g;c?W1uYYH-O;Jk zecGO~9k%kEc(bj@!H~7y^Y#)LPYH6+2W>toyiFv2zv?)j@Ch3KpIPp9f6&b-;=A&# z&_^@$b+$d}lj@@mYTA_(_xlt+>18%+uf5w8{oPgwY3jo#RE6DppEeGlq_X!1tDPot z`8z)N868NL1gJRL{yyX9YM-scWHGLnv^yXLP8w6*j|th#*-rAh%$4!uK`}^5~Q*q$cE9jhK*dam@tu~+v zvqdX7X?4;ev5w;jEHRs3qwy}I^xz-}!(0>$5>@;uey7`@Fhzk~U*`OeYwKrX1b-w; z{e3pQ(aQm5=ov_vbVI!qLx5r`DJcH=3{Od|MACjmqk60P#UdR=tH7_d+xyW~_VD7G z@E5IIW8-3=2r&?E$qmF%`KGtu4O1CMsYtmbFs{@e7LG8v`-Nlt#37br zlc3D-1B(XirQ}9g=4)2)&RVP7)TwZ1XPsdvtV{l8V{bDsK;d+To3hqOC8iVrh%|i} zqW|dIF7S4vb+7r?=$$c4=pqfqNUTF_W<7S3T(%r{YRYt#qo3@HHu>OziJAZw?zRhr z%XgYw<&7if@teY5zBz69$l*=GqTTY*0Ee8UyL1n71_Royj+V~+jSd4uFUYiD%&+Mf z|D0=q*UAmzY~o$Of)@tuiE7bY7VtfH5;7Z5kmWOsr0*-RJn&k(^q*M z{J2MzGx~J*b7+Mo8YCC2bmeh=K#QD%U$IWCoWU*oh!iQCwy@rr$>5ErXuGD_PJphJ zAm5s?p9bqNkxNmf?Ymaxr^OfXkU4p!x}BIHR$4qVx+q;0ESS8r77^BIP>fF{Z^PN`Vvv-Dlhl)hH(97S)nZyjB$ z^LW6@?);U{+LFyZdFoN6%HI1gkV5jyAu$bNwe=+vpXT-U#VIqtnw#9_GcyTSz8I4( zpYq^S{>Ms3?MI<9{w`W_tyyKt>!eqBl$3Y|hRNbFHLm>fBrDUD-|W*~1u>?Km?JXj z4jtfs;TMCx%LLd}`Zi@WS?Cagy@I$`0}3p%HqGl<&BP78k#f~}Wj9tg#HN$*W&>}- zc?l)SEh9fmAI6vM^}+5v*hY*8?O|!rDtuoz zOl(D;kZ$Yhw(i8)=Eu)%f4G^y*rgpQ6|8h2Gi5*36=xn2g2NNrpX)#llQikFyXnqX z-+){cxNFJMhel)B_-t8qB`&fOJyyu&{o@&a9?t=(MWMW&Ao%yeq*e8@9tVR@RIpVM zyfSVh{gH_RpHHJ*Tv9iOGKJ3L+S*yUsVj{S6|uuA%13Pm{UJQ8Pm<1K6o#~ytSnS0 zPkm*Zq7BrAO5tBie=(eYC=5F%;>*%6+o|<~`>!5-_4)tq;Xs-@07~#N8;w||RpF_E zSj-nI=CsYP?*zjA=fxXaq5a60>DE6zn3$yPnPG+7QR=#$v$Nti<)DDk`d`=ee-?Gx zU_O+xz`bR{HFKGxuTOery0bkurxxu$_~ojxPb0NkpH6wbZ7ZKKuz+)h1tK%8Y}%_P ze0mS0Vji&{0dzO`mLHXf+4BdZhSFzCFR4IJfwW|cwez^c!Uf=hdswzNP(fWkvYpQB zDfQKJx%a=3@RV5L-oG7lw_fQbF9J^X zv>@3^ejHHQO3|1SOmpNQXW}jnE^~k5oxltXbcH-etYa)`y3LToJfrqCe(wFD%Nq(l zfO!8$Y2Z)?Tdfy{>YE^ zX`li=ARZh$)pX!*KrH^NWd3{U{Kug5*SedT{iZIjFye@IbNpSRMDk>)1c_#28Ob0k=tOaU}nz;Y#xzK@BvEFj(i9CT>scX zwr!>G_zDUN$cMd6jh%nR0lrZ1p6%o6^r`Me@=L&duo99VOH| zRpgUL{6iG>J=c^kh`dqnv1JwGl+X_I=9RI7Sddyb{8M{S^6(TFx{9r_(~;Ol0L-W! zsA)|%N13&g&YZi=ft)Zr zqma+cr;g^sgj3%I&XXb?JD7F}g8~W>-KlH%8SBtx@imR^3@g6L_N>N3;lXm@{%yC3 zmxIxLPKPowT}ebDQ`eTP%!v95&%MaEEU;xLZ64-M8sJp(2+$A)7*hk5*pAnCI3M@` zt4uh3=AO@uS&yg4IF#MnInGrX=q)DLb(DCe7At(d{Dm&gF54|fb#uDz( z4vVZ{9}9nWAyEBeUP8X*sbcbbTvj)v_SWjr3rbjZ?(X9Bi*)j7pq`^&$^)>Gbr%co zKn;Q`WF(aSPBs#0wFw?dLUs%|bpGZVnlO1ash{Bw4DU{nJJ2zNXHY>>;OCh%{s9CNV$}m@kL63Ji z#Qoaju9S6>`gFZ}ymCEvtTTyxxgVzGGAD8PB;xk{jj;FdI+GVmqlv)q;Lj(Wd~JS> z*ZXlECv@1G40N!5^ttiuwV`C#gm_wzjO0NjC(K$4>1mdsdEjC*d{w~gBRQho=k&o+ zif-wn7;*~|1}L`oOt(YvXV0bgz_qNigGuH<4J#D}?CxE9GAxy!y)p=dN#L(6n2qy} zN{f55N#G%NycpT-hxp7{9(VxY5!j+YV)80=QjkEHhfipO;VkDDFcnx`-w(-1e)D54 z&lX=z3diev22p&$;yeF(XZH;UzjYMzBF%znmZbra>Cs}RU3?HG>b@sMimX(@J#K7U;LQm?E0BA z@$=x1hJ022v2?|Eo(HMP$ESnLK6GQ|_dDDHID3<|$w@~T>NQFNsvx#*UJ3(u@WHmm zoFnalWRB|)`=3G@h_E1)!2$bQeg7y@>74xgn`NOyc80Ed=t;{vcGnkckQE~X@@ z_G3F^W>shSk2@>II`vLm2tJ~zR*$&Np4^X6o3f`YXuo`DG9uoy8JErRic=+?`bO#u zzH^4%MuKF-oEyfmb;sN*7oKgID$MSvKRxDmmc;D?8kE@Jre|}sS%Z9)AK%*HnhZ^i zSmaQ;y&Z}qZDr4>0a*>J%#9Zbpo)DaE@wwbg#ut%-^e z>yv*MVpj!~QAcg?_!qRVY7n*0BhF$JpPpN1p3}#LcIAVAMwpOnHz{@-lT0p;0Fn>v zA|Ggsqw@LE*rP9Vkz_i^WSmwzZ}Eq1>?z~Y?@#iJ$Lq|-HMPq89iS+N9n>@0Pf5DT zZg+WE-RmER75{Ag_?ETtpklp@-NEK_=&*G-f$dtPnD4sV9)x>Z?_*=LZ)Sl;csW+F zCMbZ)cBd5a#ZXadj-o!}SDieYTF=*!yQF+bR#m>e1t$nsIXk`=Ae%jh1Jf;CD5Udtvxh#NbsAIlH{J=BiS5*)+r)u7hvp7E6^K_x2X!4mg>Y;oEjfZ z<$V}cz}u=Po&P)2{pmW>T}=3Iru!>t4G>=w;ojd26f;DB1I{i-Gsnh05@Rmfl)9!@ zaS1tHVj%w=|NY9d@8en`jEM$P9E50Xi|xx-Dw#Z870;BP{225uc$z$4OSdb?7U+IE zai2I#vv}l}|Fh`sbI_|#-__k?qL%dy9oVFZO+9=&4w}F@+D8rv?GbapHL!aL#XB zrB0f?Ju8&|z*|;!!@~r~7cif3I3E^X0hj&@FG-P==u?1(92<-KW_$n-;;X*!*1wPh zV*bB^U3_vvMl#>eV%2T;l2RT~Bk!qShy|ZC+nVDJU5-)QVS{0Ra#LnqW_%^3*7Qgy z)I$C76Wyb(T?m3|;=BLlLJ&PggI(Bm#ft2@_+5N-&bDm(siXi`OS#9x^CL`)Y%!td za^sdE_W|9YLpRDZzyC z*oIx~TZ|#@5@W5W7=a0JQ=jF%2vE&ALIGa;>wLFuJK)fvT@n*{M~Gn_cRLi?L_Rbg z*z~^o8{UqE>&cMzV3IudSiA4wNvN}wGG5AG?xgIYT0mYMs`rI7U{<<5! zCx7Lg0o1E754NIEGDbFrHDLgsTdXm4!9iP9(o$Vk)wWRCM2#DmWT09@1OYQa8o;nMNbVs)qs}^>(cRZ9bUPEiM zdHvkV+-ht4SkK8t|D@?wb49XnEfX|&f^FQx`t8W<$IF+)D8Ij%BkCgo&Id-vG6Y3L zAO2rW3>-5t2az7KMw=-Q=#!Lv#*^)vhGa#z;9Czi`y66U@2cCM$u0$^lib&H&{K~b zkJ=D<>MylwC)_fwzR>m%9NzU!TA_>~1K~v`PI8E3-pE;zBOoced^H%1LE_Is8FES| zOu(&d!|&xYUE@U~CeU|o3)9OsQ+l57X~a$XQ4o4`f0fB;gYG zqXV#=Emcw;s_n!Z6p3c@f)GuE5s_&VPw$lhM7#+qGYb^V6tr4)qmFbZAmX=4a&^YA z4v6WpMw<3qTIRUI`!dP!AI2A@N#{FYms^F6(s2txbjkzW-zkF;;pxp6fvt8O1rn=a zFxxA(#jXljQ{3b`$^#Lz><5YMNU{pSJ@TL<4ni?Ng-YEF$xX${hb812xyWwz#IClAYvdw_VFI zUMNZBVIH)8{9A!W*hru5!IA0=+tMr3@#q1IQrWsRoc#Wfg#itg>>0CHSLak9KYrAq zOh#5M#CwZD)RV#|-cJJ5Jo`7CJftnjSDhIP`#&%$KpryF5S)1=dfJyoMiFsi3sY&s zXd=v$MJOaZB$hx}bS^m_C(edp`4-_!G`xgr8cz@rGvz*W8EwZq}BPaHUOJ3LA! zBZkK8h}idO0_KGvUwwJ}jN&<_HaIbj1pP&0iYHjO-DC?XKiXYIZqK^+#fnjyPY3T-J48B2Z2wtk%_o2EGJr4q_j_(jCym&)ez-*?2j( zW}W7;hP-=lJ&teO>cT0q-()2DmK=Cg zp}`;gLtKEi2M6@womP5>qAVXC$mSzod@|J>Ff*sTp0ka#?o&320Z*4(JcPtJVa>x{ z%IhhgE?Tv#V-5IA)&*#RW`%!DN#QpSxqZ3p4@QN(xg|D&8CsT>M_-R#2Vzuw4hJTQ zAOW#B#NSx?S>*qSm5W`+%2#5uoF=E#DaFSj5D}$|3UBMZmjapa4ikW=p1YgnHo=ac znQdt1EhaVq49~1kLLHa_e3B4Bx8wC*CNb2B8eAI^L#-ypPAk z1cmCA(h!1nX(ZgpT_Iz_g+7H{(OF6*p5I)OxPLV3*Y%YZ9*A!mIq1IJBiQmqzs|7# zQeuKS^DsFyy)n*ksx<}EV1p|Q(pE~+$cDB0D$n{@yH*|e z0~y@7z2kcMZX<#YHqUzLd@7(Jbr#T$coJFu(jWh{shjbPYS6_ODe21McSa3fiZYcr z&w{xVf6Fuh9ZQbW(As=AH6f*r-mENq_=PYLwREurh;d1JNBu~dss!#&;&!i~w?;4W zq<-LY_qBwN-8NoBw5**4j-tAQEBc)}G<_yWo1;m+nLPXJ?cTL%fOnfo4t061EKIPS z`kAD?Yb0W8HfU)mW8WyzG@9}PkOih0blAu651!0W$X|upUmf&31a)aV(_VrZmr5>fxbk zmnZicH=8HjV6g9Ty8^=)x7qu;Jxq5ML(E|QEVxqCp)C=qu?jWR#yvI36oBT4OByqQ z?sv*UoN@wh9*vOg-_O`E*WtAM@dxn&4VecW`PfLxWUxMc$SEWGX;}gWS_5W<$n$!` zkl779w~I`~xqF(dt=A!80AO8@0ARE$3vuQ)f|+-+DQ}J)x2K&eSL)MWFUagqMRPKkfU z)%faD8#*2PFvmcJZEnFn(U%}vj=>FXmRo9W$d@dAxsL|n$+3{2`A_TktzkOU+PbIs znQ|dMTub2-;y_36r<>OvD-uua%`KXN%aV$t&$j^;nC$40_rx9m!4kM01+N{|m#i+? z%-449zp*?x=XER(Xk+f#_^((VU`2B)`Q_w^|8?KS&dM-*lVqsR(VJtZ`!S@;BwSDc zt{LGbU}rOYQ7rVf7wo2p9r8-p!n_c(C|m5>;bOZ>yyL9M$aIluQ7FIJ%DnUO-=wWj{wQ%fL=^jpam1835H*rjW4Fq9GbDY{b zxYc(aBQ#-;A*`g%=++JHilEkwMp(9b9Ah)8BZ}ioHq|l)8Ssepi^0h=`y*pd8WChP z|KLRf8M>0$WLlGZPb=dCQ+abs`_9~k@(=ta)czUsH=LH?{Lz>A;Ak7e4<7Cl<4#Iu zUkW1}E<1IOo~d`>TR=y=sqRq04Y!~d%Wt5XYambsDjK}0xUfzH6=+*AL9HvHj$I>4 z-yN>2-z$ar;OVeXE@XTc7WpH@23lOwQ0!d^XHF0H zWVA?hE;#1GpLwyr8C#uaZ_tZQb4wjPW4OhsNiB^F9EepI7h@vN7mAoWS8A$BDv)Sv zw3YzrK1$`#nbp|{h{ewR2jTv$)zSE72@ArZc$!ac$}zWw`^HZuEm3moYQE2^dbSC7w2eR2^hR1dUMfk6-Z3uri zEm8?P5}SmT{ugP?v=obCmD`>wt!;Ds7mv|rVWZWzXZ)Yo8tK|FLzBsEWbi!$NZYqu z3HlkRuYX>poYW8TvEUje#UOEc8IgPwq&P5@W^#t#!&%0;YjCrA2+caj2;=4QKEuK& zI~HCZVRNr?ybV)&ej;30SiCW9vLSSEz)OIgh<_e^>pE}ekFUg57*(AO0BVb!qLL)Lzp!pH9J4)SLe z@1o^wx$&o+bM zt>gG~a6!{$8Vcq{KF)`q{d{+na8ab%F8lftXk%>etT8I1iFLJ`C+fAD@~4q6v9HP` zdUw3#1~jO$yBN?f@h7OEQos@VTxG&*3{qLbCUBAfS<-Vh5^VNR$zWy&V`lhcz&RCs z$aU$}==xE<8*4tdtJQ7eOU#hUa#27M-p^r4#9&7celV{li&PC?tI0@plb{y&(D3e3loftL zyKS>F0DW41)xc~qV3IW*a0MI@QC5bdXd=|Zxy)BUSc_0f6@j%TH&vEGPOT%+lX99j zQcPeEBA;&hHSj`}_+e`bn^lSXGJi1KpSF6W%AJuHjfY!yM8!+@CXt$lWpf+Zi53@|Pj;WC65B{wE)ag?x9 zxEjxc?q2omKMSx2i^EB?sr{9+KyPwxeIGJ1vU$&=(c0cTBcpf>^DaGk?lj1T4%iUr zT90&BinaGsTxIlZ(Y+FdwaTVYd=0O`2at>&2=|*nS)j?!&0PjEJ3{UBvrha4 zyaDmesJYwLMT=M21nTCfnm4X$j*9u4-1F>gtmV`Co|Uwu!%?p7EaD`=QX2@n5_b#k z!*^cGB!f)?_tDpR4({D!g5{5YB2?+?ytkT;o3zO|Vj!gHyvBmN)sY_N0-^d=FBk$2n> zj#WQ!RzMB=3)%(4JIW1jjSqs7KKr+Lwmq$|Q@*;{3u}K1G|1jByouN{^4XQXE@Kq! zbN)mC&}S%pqb%0B?M^Obh^N$&t(_g=ugWf2ZwyMENW|a+43tztwvVHv@3i2ipQd;4 zZ|lSJ*XR7l?FAq{U)&E>XHP_GAaqM%V~B5LQjWM{!A(v(y%e^|;leiwPc+|>FrHU) z`$RaSZtT;+_d3b+@3w7O!(#5Hk{Lm=G(7G~&MK>)wjhF0As-B{Ud-?)x1qxZ9PccV zN(4!O*D9MoQ-F5Cd!hgZ>A12g(8e%_%ChLTZjSL12>$NTB3%@xGi)y?yOs6Rl1Lds z=E%r!~NBp9<1DpXnF?jbu-_Ofk(5e%+2{x z1d)<3SEL4!<0z9b>dZ-kaxnz8YhM%C~BzNi}QG5xhFij1Kh3y5O&$?Au8bD(Z z+5~l7Z55ZH0=2I(d0*8^DV?!98$244C+AXo@e#MIycpA6>Y)|{7v3Y*NMs--t9Pa9 zjSe+t27KY?%>SDO;2RZ;cSTuT6+cm`J)$@D+PlbB!f%3XZ*#V;TjGSbGYzzzlddr8 zUKZW}d!CAUi2M&WMe6LD&T_5*@YentK-VP}<%HcBn$=sYYfp)~N!MV-!Pm?&^QJo> z=L1c!^zqLVOVe`WSI>Zm>Vzq&_XPJS-ffXszR$_@VkZKs^Pl+5&z5AI76!P*c2b-X zdcJbMQr`3 zdW1gKg{Or?h}&Xo4ZFMC^X;|I_frxiYsqUo*SHOz=i%w12a-Z@q!M%)bA8pp(K@ zlijgqn8;)8i^}#aCg-&FFdr(lT%@|WEG7EgYhVB`{vx{4LNMu^DXcO6B0H)cy^FZa ziQ<=*yl%RwR+Q|dXyZFD07Cy=?$>7s%n8C8#l-xm*zhZbczqo2!P|r!mpqEppMyz4 zklkslI0_AU`Fz4%r=YEKf{-{-R{@R+p}R0Mcgy1|B=N|xfpO!nk<$H7WPqj~jr|?8 zbmHMQA=UFc^`Jic?I~3);Z*~vw?y?}wp&TzeO^CmWcCi>;vrEV({~p1Y$x<~@^)M7 zKC|@wJX~oQ_TaPgm@UV&sP6TOS$*s>5SZ&3B>Z;A2ZHN&iE)`u`C!9hQ_xhop=7S+ z-Tq^}V@4&-`z}`M{6_uyJkl_xY^IGNa`{V?UR2pYZ~wHHR9=xatJjm*`+M`M{&;Sn;u2Q~TuwXMBl?vITR z^Rbu>TAuc;0z;lzYP(XCSw7piq#tpuEwH=5LD+lXs$G5Z=48!R z2UdWMf+8td*iss@O^Eser=E4pycOo<);7pTG>Q>FsSypZ^Ma_g+AGqo zQQQNd+Y83{3^$B_pqhJSrs*A<4qv9A3N79stTXFHcB-pllY^sr(e@lXIIQq&Qc-Y0 z8hAQXwe=D|*QK>=8rk1`>?zkDDTZC_%{(-KP~5xz^<&-o>yRtXH1s5J9jMRwG+72; zbm(jBcJEC*BNPP|?s2?x$WU%_fkOQ!`X=Jg=K%1s&vgS8N67NfkLqsIP|LfISi5hd zd9a=f1feVXkJ zMW{nhb?wPN%UoxL#SYFAS&bfSzmau$^u#6iOZ9oarstnvv;M}$rk^1WHd_TBZsph} zmlbS|5#`a3(0e{4lrS%rlTe1dJp($|YcG@3ddiiz6HFQuDBJ!YrT%M1?0;EbzCi#t z<8_ST4S|T=7n6KEJD=TFf0AU*-wdS)+fj_HxG07%`Mu;7I-J07 zM_D42xydb}Y&V2y?`haHT?k@cLXc9y15!}Hsd$*>JqQT%>RZf5GIZlWQ(JMj9vH_* zk3MuBZtgravK`s{BE=|!l`7uc_kGr=QwgihMJZjp15rw8Eyv>s+xsms zY~RWIeRcd7O<-(lC+9sc2IycBN#24xi}l9t5;ckQXsWeJGpPqOSGW=>lJ2tvg_hwv z3&yLonYYfB66-&GXbrannV4=`4i}Q8V}^}fb$=oAdP~vjqumv+m43m@n4DWju6AFb zW*YuE-M#mCol|1I9ml9b|Lu^ySvGgw^#Sq{K#fRUvZtZuM9k8t<8my&omTl5lYU0e zSOyj=gUOL|X4uwOrV(?fH=bcVPa#on#G{57`<9!?hQjwkETPA9g-W(cUL=V=n^MW3 zIi8HNkh5;3bPJ|rVRY=r>XEA_U3jPKpa9qE6k_uc(gDT;oRD3VPAjndRG2nty_4^0 z+>eM=o#Q;)scb+p{dS*;KIC3t!*cnu%e0dW>)bWGrG6|(YR;z51QMI!i`;FKH=?9d z{Q)jH-zp!}_@LkSAbkF7XAww$ZP#ZH2)Y{*IAiL*QQHD0>&~IfC<997iH7%b-B)IA zQ3cSg#0+abH#y2aC~;NWKP}Xib6;LL$0?50>>h=a^_aXbyASbSH94`^2VTv-|82Re z&eZsq&z=UHVzd3ALag%dy@~8EW9{24GWaB38~H|n$ zetww+*+mi`fj)F#GbO9=8BW4qvGkhac7z{rU#;0>kRG_HbzRE=Fh+}ox9R7pF3gk$ z(BtKAS6DJ+X!~)_FO4#8Co$05UW~$2xg5NkIos*RGLHTg^__D9LfOsNXU6-1D`1&! zk6N%TK)!qCdVC#S%qNbgzrM3a?)u_VfjmEh3I8*b&dm#gCx71mO9dLf&19OqOi^T~ zITZZo*9ZRI$SULNBc(5{LP`w%8wLF4vvMvI1(ypSgg?GF9jcqcn#-U|wYNOEkVlq5E>Cx&WY||0G)Dyv3`x(% z-PY&NKfbz3DFg-&@pvHA1`+38Lrk%pGjkn0JT4iV)wq(#6!U)Xqc_#i>-4|L0L);1 zNdw5`CGD`j-Whf?BxWO1z#Tt7hG_^d?<$Lx(bqd4N41U00=^XRKLT?Jvg zIus!@r~9k)A3eee_T;TUuh$FjxLT!a8BR@zWwD@FXi}?|0Xo4vp;XT3yWQ3eMSWW< z!PZ5^cWHHB@kt}a?Cn()o_!on{mH8ILH}AN;1O1DXp>-8|6bE~hQYJpk&KUd{*dZCj#g zb1xcmmtBn+kz6b-b~w3zT%wH43n7#5 zhlfz4PL2MM4~vk<0~^6)RnhEt-0{BWEh`tb3N6wQMaal1QidkkF zaCy#ZSmwlwJYSTpu*cWI&DVi;-20ET`iB;&>sMJ$1DqA(Z+nmR8i zq~}|rad+b-99QvRx1YfWTQGj`M83BTzE-!;A<45 zUxG-aTJvu+%*LDz>PhtHOQIEVrgMr=#!TyZ*o)B{0g?wVwBxg{rd|5Q9d~%m&$uVP zWh?{v{~*LUfqi&z6L+)m{{C=Sg}#=mWcVK;o9O38<(A%$1s8X>Z%mxof7LTl_wn%- zGhw+u8yFN&=|Qmgf&o-1eoUAtH$c&c0B&-&^46F!37i~s1^#@g$Ue+mZ&QU1Hvu&s zNZL4>kHT~kR*s*0p9APh1dGQ38?Pbk77UWPn>!+Z%-btEY{*QtfSUy4P|;xk5Tapg4lq5HYBsy(>~HH10{cx?QLY2%h?zXlD&;~FBY2mVF6 zyZduDrvnfbf@?3+^;Z6`7xmigTtWdbW>v@V`bZGhsVh`!B-n_QP1h5#)o_p#(R#-C zw1_LsMY+WLEZ_A;`wEB4!tYpVIdRQ;bMYD#Yu>$~KlOWn3pVR|->*D_`?W(BiLx#E zX6$Eug&#|C`REN3ulw#)i#}Yd#-?q86J6KnikFo&n%Jj;3&i@lu(7;>Pb9qQe;gHA z>0X((aP!iK^ZiH0%L3@)C$8GJoc0i+%XyN3cHT6jNk8#K8PPg3R$p6s_hkjFC6=t} z^#y)Me?&%+Mx?W)F+9tf?OS~4n4QD+Q8BCMwE^6;XV@|=- z+_Zs45Vh%_KYq(~qxG^Yx;qFfCr)IFi2FJY30`YNiMx)g-NEHszR`0as#MEo>q|JS z`k3bJ5&vAHcL<-Vh8Zi^VsQ1Hlr&N^=7Nl3T^UVM#G|aO@D``^4O3^5xJVgA%&|j- zJ=c@BNOYL8+8|-(l^BdO+N=dz5;pU^em~tFJ)w=n9)W3pRLA$J9sci|2!`hguu0>z&d}6?#QZTUS0u zmqC=Il9O}W(j)U{hmUbR;|-Wr;!BXaV2&mnn!RPQ8EXM9E>_d<5nrFWku4{chCmbUpa zd%OH8)P$Z|`i$9@8b!$m(2|YU_CsFhLMPg&lCKs04=RnGFU0b%tpInR zF=?ms$t=~vBl43+3|XJ6AF45GH&S7c*-z)b=13qjLe8W-&HZ`qTrb;~q^SrhfOl@A zHRbs453U{dYG#c_R2321fR_hn_45%`u4%`<#v^~a1N%Gxz2g^l0jT)?fY@Cs@KN=vP2;GsJ7O7a(u_X9Y)dy@Ffso`b(_UFeT=g|tTVnNTKW zoZos=jTq{<$FVv!Zf!aeNa2(r~Th8A9yGr+{F3?5GMc0>Yb1&e%p*c-I+2(xVAi(09iV!t6xZNH zn)D{Bo}?;D6Z@;_CS@suEm3uyiqB{)%W4?T)|)!0+6u2;9gkltBywKj`@A(Rqs_)$ z{-tteZNaU=cDDvvh48)z$YNPs@7MG`u~1=PGq=j{Vl?+3ry4mdTz0+k(N7o6;2SQG z6os0+SRHCkyi^^3QP4QUzS`RK4d`T)x3K1pG=xp+;Iq%dLcuOLFC50jbB-g{r4NFO1oyXRi6lL9mX0B|5_ zPw2J0?w*9QrCZ($dw_bE1o7k1nOwbv`m>k4aufP%u>2_k6o0_9`&SNe>MyAL>tQ!x?8qyCEK^}D`w>}TX zl!0DGt<8J*ZG3cENtXgjtvs!Su8&cYOQmSg&P%$yLT(JEJP=WdS^r1bqfJV=L_Y8A zZ3g;4M~iWBxP;3ydT7qa4;=`<3ItJkK}P$a@a~MmY+D;zRv(3o+%AZIkqhTA!cGm`KcNfBXc1y7uK&Q|^G;M@pFS74JFfX)43Zx{g;(*7AGx_g1WeirzS~`` zj~mDRau?8b)?cxSm>vBlFpDcbOK~seU|4xW#!h+fQ`fNSTB-ZjCHM zu5hzNJ{i98JIM)>)m;`rd&QZ)=|&fHt;VO}4ze|IpQ>K!t_d#*lY>2S1)5uF3+ZMy zzhf3aChs0yj9jH;es+)zsDA0rZdjmv@ljuG94w;<4zO)HytDYCJGn&xvOvng+^P9h zn+(=YuB`6U9*^lrBw}_dwzM;NJU3YAl=awuOUSoM@8@gAS*3aLdQCz}c6d#kBx#-) zPz6=_ofrKLdc*luKlAeunh`RgYeOHX_9)&Eve{o79YA8zioKo9;`pjQ=x9z&kn z&k9_9M6PNNN5-Hm4Fy%Wqy=^0W}8H6Q_z)^8fbM%`>D{m23Y7*p+{~DV%lEB?35&z zhh98_6ts3GJ*H<4u1v;}|9(`@dlkD$b7}mP$C|qOUY1Fxnxuf+^pHRmt(T934IWN z_p|RYK8Z{3@6Li#>C(81LLbG!b^&IR%9ma;gv(-jp+Wd!sTRM&Ny3M=+6@XJi!pdj zPTd8as|w*ZD)FmFcFWSAQ#sJNh5SZ9@8)EmidOeD)6V-DO_v!=HttP&akpV6RqiRV zHaX@l`8E-Ag!7C8(+%TG(nrhM7EUp05+qGUbE_38A;{Y_SyPMEN?C}QhWO3JIP6%4R>+yx#wEYBX=yHh*N zlQb9~W}*6{vOLVR#W%eupU8@3M}rxOY~r#+uXM^-9LcGoP6h2HD2Bgyv+GySZ1-q2 z%?}osu2fV4@z;@yZ{0g8=dU_(V~aFQB9TXL5;e7l_A*S`qJ&|dPFPP){iS8&gI9dE zfqT)kRFM)T_hj)DA4t$Y(@#u~T{JQ=e4_1Wpj$pGR8b$_*mnwjybjWiVz{8os~eV%oo59xLZRXxr?Q) z*RDHZ^)s=!yPl8S<$|V$on|%d8K!JsN9`1!(!Ddw489DnXg*(8qceBrG;7-hgA8`) zb1r41Hs)mG#-$^ma=mkD(ev=?;VQD#T+f|t+T3&Jk}}g>DQNC~|91!irW2LPop2*X zB^Mln62$+4Wghx8M41cI@HFn5dk^V7R&11n4-M$nsg@l%Hx;%lu;2Vm#B!3!*v)Ou zwvcH*+ahOz9I8Ni4S2@H8<8PgCFivEu;onU8|BRn(<;^msWhddFC=yAM%GDNi+Y4| zBqdMA2H_2Gyq`uD;4(&)h55?2kw8c=3&k6gR3`QwQqPTy*4ushD_;dA{M?hI5ACR9VMF7&cLT zAdfl;X!O{lgWK=gwycVDZhb&gGpCN9cz%Rks? z3MSM_s?r-y@d1|xBmoS=)7KEbNGtXHF}O}(x?AxJB;aP)I1}c|l`^PM-;x8CDEaU> z%WS%#zuH`#JI1K=IHPP~L&r!Q>2}iqXN@bGZVL7i4uJ-}CO+hb{dg~Vvd@tu%D0h( zCjMYPC2gVeO=w@qE`saZ>7@O8^v5(i6>ia3Nc`)V;m63_b`Z5z%P@&c<$JKA_FST8 zx#Z~wu9@%1axqPq=Rotv`?e-Kb~{$5iw$)9(ktdIz1$0vJbA~*MOS+HV#v6BgcsI<<)pDdMrKvfP%FN1?9ApllQqwdww<4pmvT{#SQ%Z9W za!;ggQ*)9NH>Cn9P7sy-VBhca{Qmm==}QrKectDs>s;4$&f9QeMR2g*CuD*8!beiA z#eq2|b&&d5)tf~C<^(@w_fA2mQw}i?fp7GKsB2mLTJnjzb7K*ieqVn0cMUoOjNFK8 z)t^HK7XA77A(MEmKw`!EXM1(^DX$D%L1%N^cqTn=ZOUm#;fPbT#G5BmdZ!iFPT>dR zUy|<~s9+$6mbC$sasT!^t=j&KyeVh{jiR=-8N1)WyuPD=@kejdx$v0tl;bGMos+h8 zt}($;3CvpItvZra%5TLi+$q$_;>!X1*YlnGNM;g6y4+a_#8FeY!+kQkSvfHd@t`T~ z#{rPvSjg@>5cbIrI;g9yG`3L#qX`{dbH4WT$Q^OuxJDjr3YseC}un|5n<rzW<0P>>0%z zr#vD{*^I>~uSVU~Ay-b!VQRRs*`P?&->5Sj&{yM< zlz64!B);)M0poqaR7Nzx{@eQ_X62tnQb9q&S2(R1PE{{Q@xK-`?`%$!?nT9^2Oh0-yS8=^re(JcMbwA7UdUcGlp zpmb}7JnvA7ktRIrjDqsN!Y79|GwrnU*$ix(vHcB@af>o%&z@=Unb?4MACt|~p-`OL z_@JZfLt}Tl$vEO7St>B(Z6@Fw*Vn8u;7E(qBSmc4eBn*1cbTHZ9^K7^`L8^Oq{Ar1 zB&}8=0tTf7>7k?@J1ztsU25h(8y>kamz9(Cxbc~mI=Rf3@nk-S z$=8_GI@h383NyKN5ICyvBz2IEy%Z^Ug7W`5Dx4SZAXH|%4?YKsdK~0L*{47hB_^ol zS^SreI|{O1PU7Giy`vV=OuY(asNJRYkKupd2=02rajFaZpZxWR5&&f3(yp_Wl}3>R zI7)CkZsK`6QE8}!DC0Pr6{dJWuY_oVscK-XAMmM__Wrgba~o_yF14Iv7MPRvp^W?IiR|OtGP?ihp`Ki|1_#dQfQ+M3i2kXm;0?_%*HNBI9paG*KREx z?6arP3(?#+FU2burrx~tI-4j1e0x$#I*9HNIAFbF2Q$R(Q2*r?Koepc7ACy(GO~m6 zBS4q6AV_wE>fXTnc|4W%+QWqnbfA$ zPilc)=W{GisksX{5Z#YO0R)Y_-f5p)Vm8tMKJB>B{%*sqF|YP~sxC7 z8KVQXxt>cNh;*Dr%wvyB!-cza{TCpT0rLaYx8O?SDwv}0YE$*Ja#N&mZ;H_?h;Vpu zv+`^Gt--nc{$4nm3SJs6CeJf@LFW`aE5B8?u#K*Jp!Jk)lC{^iJ1}DlLJ{+(;)gX={|3&Qg zyz$w|G#>#*2i&pDgq6B%`w_HyMzitKplx%yQAVQlz0`%-QjmJ#3kx||xNF;si|8Y~ z$e=;%rDEsj$}=;r?Hj@)&NVJYJweX2V)DXcA#8@)(Pb?!Nc*`z045a@T5oFMsXZ4gwykfMW~4-zJ;Yhc>b3(vVvW z@MvcB$eJq4AtHN%3p4KO_Z(bm20Vw2eZot>Z$$qaCo?k@d(Yo@JM!v@ik}&e_Jwz5 zWgwikEq3EwI{*yZ+=)ScQSvJ8#0<)rx%JeC+f^AMa;RiIqt3ON>W;pyIpDGBtbe@d zYGW~NKdzv!ZR0?9yG<}A+jPy(w+g>9zEPR|eUf*E`Ol1p{d=-Pilvqu=I(snmtW-# z$ScV2i2mvO$9$0*zF_oX*`jMk;nw%AruvT8><{}RUBED}UG0XEMo}U3V;)QxcJ$lIoVGgTB5hTV!(5TTq3qf1s`I-oR*V>F- zP>({a-B-Jza%2^<1oKkkpmx0QrIp-GR-+btCawg0kpCK>0Ml`Fv7P-r>lY|j?+?s% z8ueAUW)N_aNA+HQItN}Te=ty&6_2e%x8t2_>TIKOM%9@xG0ccs?d}#&u>se#TsFEn z@8xP~ipsQQ9D9hASov?m0^PMZE?77y_1j-IZy#Fjbig08dH9w)3xqYw=LS=3gGi&jz6om;_>*QKxN)VEeAYO7+XR#xapiei_oTf1NM zIir&P13TdkHZKOPz?}vCM;^u5%hWynWg8|E4EU9}44aMs;Ya){iN88BhF8+5O32oF z@wE=8w7wqS#PUhV>!Sb33^6}95HIfB_Yv3u7c8*UWhT-OPVzaqpjo9x*n4y-W+Faz zzb5yPG#vAddoX9e9$D9xn^%(vM$GHF=$V1wVt@R{#!$pax@yqQqWkijxD`CxkSRM76T66c~f zlk89M%`tJ={~r|ShkguX$Nn3vyUkAbodNeyeu6pZWCcg*4)oi3@qh<(bz$lr2* zT?mb2+CY)g^js=)9Q%^do-x{AcyD&-u*?|x!? zkr#k}`tQr-S+@Aa-!Yohp#0WAd`2hzHV;4 z!D>e(OULK7yyk=nzJ1ajCN;Zjr61Y_*ip_eXwA#@WpnX+3lzEx%!YH(eH7ccMMvxmUN3UXYa z;$0AA9F(C$b$}9P!}M?Y#hfRfh}OBapb>H|>`k(;x4TkD5PBYQ%dyfm&3R259SSgu zB8iT^r8T)#%TeYrgOV|=pBwVSnOPDiA*2=6$0?|nmF&zh_5fbh;J@PY3A)s)*$BI- z#Ky?t_Z4>Jh|F_6#5+X@rkV%uVrxPGhn!QBYQ`wbb7jTey86~S0vh`|<2=5@|0QQ=}2!NGYtP30H?V+gfh7!dFe{oZ= zy25dr`V)E+{QA`+zEewoHrFx>+`rL~)l4Umyx z>b#gfmHj`3dZU0pWB6$*&};#ZsY4_zGQbPSud^GUs}IKO=eWTW>O2bt+of_P&shcF z)HfSJs>tbd{=1KR&PtS;{tr}r7vq9ovZvQcS?>Ae@C$RPyjblFkksU-R{5)(rp_QR zGZ}%`D#r)K_@?J#CZRqeJEPKOK69W4+@lqZJD;!-d2ut~Sp2twJt-G@oxw2zgLZK@ z{(;@kbFVerZ{K4>b~j5O@Bc`%n{=D zXS_mYW3Qfz9B=iTEydip=ei~Z>H(b-2W_++m_Sk8u6gx3==2oB;o#-(gq!kzbXawt zF~I^WWBn|iKTlPfxq|uZy5-^x@!xnXURcAOZ&G)P+~f^(r&As({+Q8sy*xIuf_h!> z;9Qo_ox#}NhJZ6cLWao3L3h@QD6~U7%-jC{-?d}Fquu>|VO$xGO5aEy^|R+ct7S|A znurDRo6d>h)J71xQ7SxARNpbJ=p%;w@i^Hz5FjCZDFr9XT5AakXVSufr+aJ=U?a$a?}XY;_+$}9neKrM>ByomrM z4mb!YA*=%h?I_v{j9&ImN$8YWddNrN>!V$-RqxYYtzJ|f$tkZ=^(Sluo51=>Itt|( zjd5yQ#iAk|N*lp?hJ{(8qh~S{vhRb_d!JJD>q>DU@qBNWmOuI@`i|R119iuM&h{-@k6 z%X`3gzFSa&Hk9334{KA@&G*UnoJdAE8Oqb$zCr;jfE06qr?`H_N|(3l>&Ka=Dda3i zTmEwkd!WAgfJKS_l!@yBiO?&F%U*=D1k`GrGyeoY5o{f;b_$ zo^7QsqbCJj_ucP~`UF%COcFk8435~XDU*GP<2GQUYJN9Tyo20R(3%`lF^6S6HV9AF z9~nOSG*F87+OwZn))po8LbWK3VV~t$cg8Q{{Or=Mv&+V%xT~P2l%Tl#biAiB-?-`Gn92V07;DOef z1`8e58E#U4LlIFel+)uF`Xl2tmfI7zP39XREnJrm%vS9*b`s^mJh_=pmnY)elNZz6 zc-l-JUSoPrGzN|vqp63yC5pcbrTmkBRBTsZDg(ojQ?_q z@oy}EuG%doy7He$p}_9NYSH|cZi^TJ0U5SL+qQg}uZEEf#|979_$zE*8y&xY*JHx{ zBOJPje9DbN7kp$%3bv>0s4rPc1*LJ}UGIcC42%|h;zbA2aEA3=Kf?si$qtbcoXekb z6y$OWrn*4fe(I9&wJ+3cDF zQrM{PM==?AjMPkd+yIbk4VtCz*6jjSN)YX0P-nF8|M4t=?8fx{#P(dW>1sTSbC#Y` zuh}5~TRIwa;|+Y!RNRypis=HhGEU4q1}W;YF0fXf*p1Cs)3Qj`Jqn3>M#u=3DQzH2 zlcm8HlzQ_rLxBMFNUjp`kO^ewFFB zAGkGJXY_7-F0Vey6@8aPHq}mHlj3GZR50i(CWv~Vxl-~*RP>ngC&%};RpMuB$K76# zs*;>y0J-I7I{L_a08cbLR7dH2mz)-2rOj@+7Fd;ZWux`*CigJPp3;VQvu}9vm!_UG zlqgnp!Fo4_EN-)*yjux5y~vR|ECakATRrX->%}qV{_Kk{?pOV$txYe%U+jC7{d&ch-U}n+7?{Zu1oR-7kD5w9N`hp8e z=X-(CzTz9VtK7qBUuvdZlc1;pdg9y3e()eE|-Pqp0xF~F((fD+y6nw+9p zAdA(ICNGRjl77{^m#3;bVf5Uh(et(4)9dy@VzQM{y>L!cG=Dz8@%@xl40#}fncUj0 zea*AY$;0yrsq}24cZr(fL@HJpIh)!h4^9e7%Agd?J*iC6nKMaK@o-?Q&pu+~nalgK zJ%-u%1vxOulv7&nBU>@hGNhHOD9D|2Y7OWYN>KC_)LzZtV`oj~sW@>DIekideRU{C z3`**mSx&D@3eRd^^)D(lZ%xu)84>>Jl$MC(AcD)`+nHJl2!+_IjW<lP+(p(eh#97`DJ3Eir(Vr1axY=s&;t5qe zRO~T|l{a4SwS!pI?;S<%+tc}6Ouf$?E^#$Au{V%Hq!`VvnT@_KZTTErKHg_7Q47AZ z)Ds~0$LY>FbzP!->Yl?=#^liLU5cpE>#avYPc_cf&&?_BNp(Rs%L{aWzDg+(e<6tu z-;*s7xS3tfkE-E%@}s)n((b~PrD6w6b|P(*MmF9FkGO2OJnacz<(!tiy*OJ+Nu-AQ z^0E8CrgQm|9LGGk}F!CC=ws zU;D8GF4=(#vqSaGVsJkLkfo08Syb#qcfW7{JJRO!nUas{Hx{C|>92S=pdXg5x%BN? zR`soA!ycA$wqvwq9VX`0)`f*q(3y3(oMknyAnUew%@h9UuPoxVoiW@5(Nf*HD(X(l za~TH7BkRB?9Sa|OK4`ikn}*-`_~osQ4zg$|K5EBm+m8t(HBosW4u;&tfPVMrB44?5 z?3QO+3fp{GWuiYOdla=g=k%iN(qRZrZ?$BVn@|$|&CxMQTWT6=w;k0$(oq~n-CI)BIy z-P1K4sW`=8%IETP9P2~VoK9?CxloWfU{z%1)e)}I7pH#FKuWU6-?JC0l*WeSIQn|~ z-IpBOU7KP+yIA606KT3u+~`x#2nl=>>A+#^+BIF%nqL-CI{K?B67xa-IC+Vq!6Ovk z{9qDxdJ^gu!}J6^|U zYVzT{ezp5k4}~GHQAcwzU%mETZCyTAu`3OQmr5cZ1Lac&HHNAJ#t}U;&LHdd>Z%RT zg>d4|-xC*>5`e%AZ~>TZ1! zgk-v-gEsS623o=mz7Uy`r|@%`TtfyNTa^u(nC_SIS3J9K!WURQH1HzgsI#u{qSXU; zWc`$0J#sB5-y?dX=JMpb48x3k@t6;f)xb2Yi==1o-d_1lws zMb@BmT>R8Ld>eys zI@lIQ@A-W^!_CFri0=kh=95KSV@X#1|? z)_P3&S~wu^%x%58-Dk_qr&?$2BaJZ8D+{yVW0{{_8+Z1Zqf%o~jspSL)>Eb;mW~Xp zP;u{bjjdk$BirDNyPr3>SIdN7==;dM^=ttf$I0M^B24c_FK{$7+zw72BV9_{P-lZw z!I*;=B>SeoeOe`_n$&3fgW@XBOhmvW4dRR^RATUHhStZWTYFqNJ{&gZQ3jC3|M(yN zg$u!Pf8l>_0*jE9dP9m$z59o}a#$G0zJx#K_2e=??<$QR*}|1j!-bb`aX1|RW53-2 zjpvj+DX&}4Ruxp%mtFF{r|dZ)IA_;A7DKCDHpRrLY;isjC8dhBf#V63K?^TOuqm9`V=yySQMxxpLN326gpDrRx%fd6>edRSDZRRd}t zW{cE4&oc+IV3eP6s4gc~Z9lJVwH<06?`4?s83&)RAW_UIgB%xP5;4q> z_5JJQ>Sf?WhSKfYgGWYe3Va8u(Yf%Lr&?e`++4G-tf`@V2s;>;X8I?Ua}3C6D&vA1 z%o>yV2Qsp*a0U&l6s+OwZnG%F^k;f#etI`d8S>Gv*3rp)!f?)9cyLa*g;=8}5lx&r zMw+&6F8F*YDpgS}FIz~%>MZ@pf{&ah*-qJN(XC&&iG{L0wrDCulSWXzd?Lhwv-Z^1 zzbV7s&xpn}0oNz*6_2p$)%19~eQ9y^XBA1YI=7t*Z;vQCQC6ivzFF+puH(74gi)AM z#5jg7HOxy3W!;7Kw~xk4JjopR^5uz&6JosrY&YCD!N{KUBSaC%Y!}Rl*CWtqnkF1# z=;;@czae4O1Tg+f_4e&rHJ+sZq$2Mc3|IHR$~WiPe^E!Y@}zE>(F-7`cDFB5D&h)A*f;xl_D` zlSaewSi2a3mQ^F)sOE$yYn>3!riaS--e)*W4(6r@jqx zzisBDap!P?F7CVt{HqxtYoyk6ZXpYFvJX{YRFFFn6#EV(FDys!`RA;V{!e=pUzW)E zJKQoo0(zyfTXo~)cm0y-6O`6u_etK9fg9wb?g$_L-Ef_P-@vN1rj$O3FikKMu6h~?42aPq4aXb)OoDy$|F&m=9p&73@$MxCa^jMr(C-f0`E4G zo-kfG%rKN&ob?L2@gQbrECO`v4ZP*3;B6#c??ox*bLWL#s#r>NrHW+;+R@JmoXZF5 zMG$Yz!ihh{+)%8mtZTdM%OBS0tTXGmPd7-ci(;ymc?G@3iZi_aMpV>_&Kc_<;nMJ& z#0zwFJG+H8Q*05n6y9FT*F!~VwAK&A3rFKO&=$4wC)=Vbsavs;m{BLBTav?*R{ssBwQYl-b({WJ|=7fvysDb(3ud(~KwNEPT=oY90+1-hIt_x6To#qbQsU}d? z-zX8z@c()G;HgUzCt~OJ*yt3r$ljo1#rlmZnRmdml!55%YA=~ef4?-V2O5z0H;@`X z(goPx7E|KJGD%gnmvi7;LrLFd=btPWs}k$&)=SR$$PJ_xU(8$~#+rzH6Vqc6yF$)N zu%^PP&N$o0hqas`?C&YO$*?A? z+G87&6Jd}BFNlu=W{=~6>2=*?+jaS$Fr(o zI>g5l17v4;ueqmv7*qdb>}iY>_{I0BkTe0@n$NNS8!O87gE9`OoS&Zo;3h`I4Z@hU%e z=xbZP>AEpZo2SmW%!&a8=UK_QBFB1=zp6lhITdT;VxJhs&I6;E+LBo2Ro*lGvr`mh zrh!0E!8W4V(WXvCYZ2`v=ur*!3R5-d!Sd>2_VSb#h+w2+2v{ux&=bD94Ejyf#>>F| zFk62v8=h`jdcoNkuX${wTw==Zcj%UKf~s>L8$FgcIv^td+F2)Yp*Qw~VY34Zw zib9BLKZRatZ=X(yMGtA6xurlQt0~u;DAwS*wfonO>SvYkCYG+S^@4U5^G}3Pa8K@q z+9!q6Zg4;IQ8lI}-D$9%z8*Yqn4EUfXHGEa^3`a*{p#F=%y4rmzTLuva9KINEJ`*X zPXAhzoaGoe5NdyKJKL`iTI+YUy_f`ea-7%4-Tk0iVBff0;#Q8|@d=(E;bqsD$xFB$ zCM%cspb)F~w3&oqXR7As_)6~YVN*+hDx+G!8#P26u{dfO;;3Qwd|U?jU1+n;R#bt&#rrO%^X>@ ztR?$H86i`+tA;sdi;q z-_rybddFjX;F6;Yr%iPS15TE3N0CWa)w!ZW;P!=|+nGN{R?_BR#ea$$&Vn55s4!b_ zvdlyacom<}UQ!j8t2UfXPa+AU8NhuK%ucrL6am8>F?)cUis9LoRQ1%Sxcx}I%=(Z9q%{t<<%yXebf z+t_P{su}}r|F;#jax(|vW0YrS? zJ4gX`=YEoIT;D&Ko&io7&4&^tH*xJAcg%)4isIJ$<|j zct*VbE)R^zag1?!{W!a7l>U$af|LzsoQd7xdp)Q1PU4K>lunMAY+F(}!ZU2J0|TeG zZcEwXb4ZY2rPph)1!{Vpc)9>3=PF)=>Av8}2;lp6-7TH@Fh$b$hkh1-y~K`&rT=j> zw3HkNsjFRHmjNYY44GK6%eoNr-ip9w^B+AiKWli0o@;*Czf|CHdo;c`d($_?%|^d2p!7>N)a@9i=o*<6tq z{sN%4uF|6Tsri^X!QA$|)3e(%K>4ahqgplh*6!io3qM^jy*aB&)|u;C0IU+$B0!wd zYPRAL{wMzrxbzf{OTa%~Gu8i%+Jp)gm9_xye*LGe6y*O2U4w@B3k&h9)pFEJ-U#&B zlFq^-0c_ypFaP$9BP~U(jmi*=Pu4Tr^#~}`-Hb3eXgdt5>^eyLrTgMM@{z%Biqopu z$MM*5k-4N_dV3b^r0RF>P|jiywps z)z|}?SF({aZLK9lsiSUQ>k!uZA2 z1k%;U$LDc^9b2{Un))H(g$zD}apvm3EuR76H}EDpV5ITf1On@r9_uZT2@9F?bPl@A z_WOifTi;PfdqB^f6bs>LjJ7)E=Uf?d79d2m{$BH=m_>Gwc#0vcmw4emIC55sSOFW{ zb-h(8Z*fCZeT;??7Q;^zA@)KTV4|T)iO_?UR$Zc;VN%T)+UmYNo-&^BX($bJe)foye~LYVwtbI+tb?gT~PLP%^tc&ShbJ z`;21i$_<8PYowq!+5j@+!50&5!j6l1H_nWYN^h4hk+tHtto1nuyEuxUB`$77ur1}; zB)1$fB9~14M#t{Gsb$Y%{glC{9@fQ{2bUzTAzRz~i$=V<4hLO@vuF06lw<|z8dg?~%-obhn{@10S;A4qR zUqo3}`nvZO-r#&Lx&~cF+Th<4nn~h@2zU-uKN|kJz8H4@?pElJqgDz*Aw6FTx{EV0 zx06|(^?I0hcP{2l^ep_>`r5ajm4hm|JTEG>kT0y9JyWlHV$S%bXSa zl|*7o5pMgFLY@GK=lYFC`~InF7`QAZU0zzZPm9){N)N-9aBAzjlGvFtd1$u+m@^CD zI)i)E{+6-9@g6_dwH;=^jg!o9cTf&6`f66ubA*~w$IIK`zxX}!5HM}aU_960vH+*< zQ6>vw{<}w@$F@+`wk>YA&^xh99`*Gs^8`uNc3p$aInP!Fkc7Rk4Z57*ukCb25A>e* zsDVDakDmIbt3I$3ju0D;o+)UB0y5g6mxJWLka6>fxcwN^g*@bwQ}Y}HHwn>3j7I)* z{??n#{blsDNBsbb8*6*Xdn>j_+9;fFl}%4?vBf}ar`WL`ND<;Aa6*gqf&IBAu{EMW zZ{mH(4??0^o?OX0GUJha4D;TC2Ge!Rz+5sY293#>3!`34OAe9h)=yS_Ry&Y0RiKpF zkzP&g2(2b@hvwwKEAk4LI#SxTji{z+>kLH}i4~9)6g6l2&i|zQian|=OLz;kV-_nP zbpK|~on9VWHDhom`Kx2gpF@RfdA6YhZM`UKMR|Np?XwGN&Bb%g8*enSJiaudehw|v zSI6Zt*W(r!`%waHNKX}0_XY>J8vO{BKILHM)ymuKCk7I_?*E0vp;_iYXBzMJq-016 z%Lfe4dML4tlJ=Ywz|LfBU7*)p$=#lQDvP17&Js2jonR9+4AdDWxxoU@g?k+{9eqnt zv!mCsQx4nSZ;}>?${g3wj4RCeLh9XOI@fvtgYi7^bZ)d62o&(0L*jm&a1*PU4UZd3 zL8p$~NEJ&Q7}Jy?S6Q)F^5=mUT8B>rDQsE4Xi7c+X(b=7Tb~!Oxx|=6A00EwJEnj@ zJ;i=MzRtT%<392Vu#w2vsO|0e3im*BaI#Z~{6Duva#CL?T;U)3m^A?X*oZQR> zY~}VdWAYy^_$X9}a}LE)X)UeE{9FECW}~)g2vfGd`hPqjl)I1b@9_l3puj>lQMfKD zF3Y&6U%Oh>eKKt>EJb#*zWrDI*MmZj+EMShRvfrIL1Y5u`!D=BQ_Q#{q>Je_?(aOn z_QRfxS#7H8%@1*=Q-#EZolpIaTl4P2k^#G zF?i^t8Ns0r>v2HSi5%VfamDrwHor8GX6{k_bkv8jb;~TG6k0bh=qiO9kh3M6H44{V zmA8HE*e$4TK>iv%{$s;1;2l8$Ipd>`ae5l^>uSLmNLBL1r1fw0%KEnNDnXJE`2aLSPG!d(%xzfYZaMx%0F309c}ipegH zkPrQ`lNcG&A60^6*xkJa@io6?d*20lcB$#WH!{AO;=u4g!*Xq7DvN~%n6zM1&SEf)Y0chxeRwZvpJ)>bfO0+7{2S{~{`Ar< z_BfYjQHn2kH(Qr)BIFRH8#3-wNFAc~9O>>JkBx0ZA(-=HWJ&KryE zdKhtx=sH_OG7$I&y6nRM-*OE#t>qe8TuAEF^JvplTU*31N;uM4-bt+2Y)$t;x9cO4 z?qp11#Anz>@A7Ln&ih_Qghq4+8)?|J8*=@!l z?9y8;lf)k^FUFM>Z`xEcJUR^AvHbJ3A$hS*8}!4{W&-^SYB2nX6!pC)7DJFBaiJ2Wk*{s__$D3|0q(;WC> z2~|tMTNa=t(VdJDkVIVX^x7fxzb_o$IN#jNaVZ_?Kw#jswpfN%{L2o1#1F-h#a@ZT zzYb;butY2<>dK&bi{z$u@sW_>Z=SQu(Cakj{o$_h4+}%;hCHeRr0Jetk4~v-(tkdzsYo}>mFx}t<`*2)PPpOmDFu8YFB}Gd z6;i!V+6U7Mvj!`5YGGq?;UeY4mF8b7;?x>F zI8>j_53XPQc95MzWc4fD)I(A#iXJI^?2ialg;D~ld+%s$uOfDBDOn{Jpyd;PrB;!@ z6Ii90gWqIBZ0l#hBjyJuGC#$BbQ5==M{1#XVP1 z4?S$IU_$5j`Y-zc)%)cwJ5;6qC<0_KQtX363Al}j3C+Q7KT|E{YzR85TDn{KjR{Jzs%Ei3X^9p;m6t(Y1e>F3N(@i(|5 zj3V+Uh5bn-jK|u-uRD9D;x4YE9o_ua@I>H3_olVseN!@g?3L^4()lAEGfvG z#IjlLCZJE<^)C;cY+BRRusDnR{b9M+UmV*VE&(&FYddECm{M*^^4Xhy$9~WGg#*6{ zGEGA~^;@~Vgzw|r%d3)JtD&y6&g%XM^qc)6GSwBv^lRLlUm?Jjrd(Q*&btV3h4`#C zb=E*HFg?2!Jgwh&UxV7iH1l?K52crjt>^D}oA!olzw3|uBsO=`YRvIC+mfJT7$m3@; zcI1fO&u(0?p*F^8o*0`vkzqo#}mIr(v@5rdH?)>gS^2s zywax*ovMEIKI=3@l1R)0#HRvId=eXoXEIE?Tx_2FyXSft&BAZyxE7Jy;+T|T+-^_N z0Xe~I+nTnHknZcdW+y+9CR>EJb%_@XMS>%Z1#RG}8HfC`AN^JjZKJppg@)uJ<1YcD zp|;1onckS4h8xM|V^Xwp3B~Q2Hw=P%%(Tb`2ck>?<2_~FI%`MkGZwOZb!#~VKEcn8 zgB`1)d|FFN!GZLPRT}I<1Y|+Wd8`G#8kEreLrJb<@#bKr#{;R`3|l3cdyFq78U+uE z2l|samUE_#5N`(!5F$8ajSLGBoZspQX&@^LNHiB|Akq2(#cr&US#t%hFk=_zoO^1=^7Y~zF` z#|XAPz}>SU7i<_8*q}3g_-?Mdf?Vw%Ot@JM{hQ3DJ%>NW?@we^weo^PNOK$D~G zR2cM-AH|HA;$sIe>zBB^E2Q1l3ebPKN1okj&VGtR69EW_4cmlhDGx8fzQ5SbtYy{)MvGSJY~^{CA4#r#%kH1B z3|CbE8cR=Wsa;KAYOZn~C!f2&@F$IBo#Y&>>x`(gbnZ(_BK>)cZb2({Jh-bp6cJL} z6Q)G%!F<}Ev0r_oWYzK_72M`aqc!&}WD;*Gt?8k}-9v7>+9xVh&ee<~_IB?&OWcCk zGEtb?edH2XJpFo(rK#_W6ZbzSHjDc%&YpKX&Hp8H!}zcMVdftCS=UzcH@$YUvlx8C z=L6n@yb-wfZ=QL>=_PaTPC=|yzLdmCuF@mo6Y%(wYC`xADO6JJi@FdHED6ipMw7YW zVkUoj!TL&}bEt8Zcc%_m^zw7bGQ`ZVgY_Ro*VzT|Q*hxvQF7g2TXmik@gieQhY-=Y zt^b==s*9oULc#sugU5DYuGo4CR}%cYETZ@iO9OR;tNX$yGbJ)@KFN%Y@V7z+j(|ti z1DZlty;(n9FQd2TOK;ekpSZR1YY^FzT2bPlGSaif<7B+{gK_(n147jk>uhz1w!(*X z(AJtK*foipln=xG5sgU$*3@Fq&HkvXo*weq-YpQHP@uV$=V83jv!_sX+fY#%mEKZH z9VGr5HZ*{(c#nHjbNe?EB`R5OZ)=RH8Hs+2$17II!TQ~Y@azIO6}EH+Ji0a-Y~&Qw zFc1?Bh`zQmkU@|6udy<^08J@f2nbM<7;Shw?hI@rw$v7tTTNS`3ru5liC0t!9^N&z z>`(?!#=Rj`>KbgSAL(Aw^)Ovm+n^x+Jr-%RuS-t1SO8fH17{_4bB+tAuPDU-6N+TZp;lNzpAWw~CvbgO=N{yaCsd@bEG1!Gp* z;5q5%U0jdrB+IZNW<8G$dqf2*KRmEi6B<^B!;OPLWtAEBaUKiZg$4QZh%^UBa&Z5n zy-|~Ox4>?rfP($h|8neIYRcM>O>TY8#Jl0X5B<(&WtA>55${&*T>C!He`bG`4bkKw zN^LM5!msBMlFb!y6Xxj!|Ds++KmS&JCYBxlZS#;>Gp-1YMr;;6Qb%UjKci%OdI$9? zJl7lCpe0M$NDe&RY%L5>sYFl#y`K(Edh%m5Ry>cbWyPVyr~kk02!C;C3eE*J@Xm&Z z5M_B-5hddPgmrnCufKGEGY7nizeoTLbq`6%BClF9V@v*$3V+A=e;O@5bv0ui*7*x` z%~%QF`i9Tr)Nu^#BCpoIdZc=OJxAYr(bK*jhId-fp#Su)2wZin@A=_I<6 zGioy|_8vxSmXex?xw&$_#wYhgpW7U&@Ky@A)BF1MK@+YAAv+pe1$RVEoOnRQuAy30 zVU5qN$g(5c*a7lMX08Wc&5j)jqKfUykS+&pVhGUaJ@7D_Rb16s|BvJ*B$2);c09gu zXgMxO=w)d)-fl6!(<8QdidP|sCpGG0UH6|qs4#aS3G;S8ali8Bn^T^w>kes2Q8L3Xa0D=paFteVn$BA?fiTv*PA2$^rkTI_%e>}H1FEJjAKa}Fhgl{ zQWqI{`vWThQa(}+t8-S55m~p!^S7%C=X>cjMjA$u{V8V60iX5$E7+lX@}lYHl;d7wA%>jO$o})?KJD|c z@YD6c=D{9y1*3Z?%*oTq4^{Js53QX?Gd7>}$7xePfNp@{($iSavE}@o1pEZKOE;^z z;7+O^$9j4g+lhoapeY3P2$xQpR{5{vI)?6_U>Fy6;!2H~bfBV^tUFnK-B~i!EM(Qx zd2-3{UWDfAW&QB?_g!=rFW-R;VCeYlLmZXg<6X3uZk=jkbps1Lev^$?PrdT zmz}|cx3O46ZOQxkVU5vBwy$K>4oKz7Otn<)$>J`Id3(sG@0zSwI3sS}C+}fMG-XfG zC9x1N)+5%9Nm@)Ql9$~uXixTv-cdNex0g^I_deUKdf}1f>~~N7lE>z5sA3GGl+3X3 zwDR%Czpcs<_u$f{T!XmlV~yeahX`()2VZ0ZoO-{XI8)wWYc$6YB#T1YF>hp-Jj-*~ zjh*EIYq&KOefO_K6Gfgj_l`z^e-f0FULo%(F>=&^? zA`i|&aQwIT!@K?inM!pKJ-!Qy0ZId}%S+M&M8Nva%T~jexpo?5cXrR>(>JQ>=JK5pyVkp{tPkvU(nIZ z86FY~0!j*P9{$rGa?=ch<*^xto#LtJFO7He0B?m5E0J%)U^(Vig)>oMqJ${Bi`_hj z_)fi^(}5dl$Af}jXUR!IUjv;mPMNR%ufIZDn+ z1(hTqISP`K#3q9vAUV_IAQGA;rv{qvs`uV{?m35jukIgjyzvJ9z=mG6R@JN-zWG(v zT%gv0_xJHUYCCY^KnJQnLi={9z8vwq7C|+a;;-bhsG|_!yxX7>Gdj7vYFvr>Zy&emC@b|&*N$vHeVFD7Hpzv za@1bu2njD(B3~?Zwa+o_pUvTGjY@}q5pMBUZ9NOe&DjZ?q^9xT`lfWVoTlSJz#bd& z#8ht;`M}=W;2q+y500rdosLV^SvUL(@~c>wt-iS_zD*(5e9Wzn9Fex}>|xA@2RS~G zC+e3iJ(=#g=ddsT>Tel*{JGo-TvW&T*^(XoV&O3qx`h{mWQ3o%(SygP0XGBs$KQ_=S>+c1p8 zw@~wr;Q|u6VK*4${pBn+x>L7G@9q-bbolxt5yX$UoUdVh{dHklNhoTiE<_M=*GsMP ztYDvVU&!~R(V(y|WY{+4SAkzRCs0qtN%nCP-iokZigz}Y z>-@4a^-6K%*m?;%P50ku+%(e}{1MTk0LHjP_l}U1;*SM=ubZ{v27nTjZZ?Xq^=~^s ze>BHaQg=K37-xImsIdsaQ{}IfHzw%srxOkq4fIQMjMNjF&b6zWyp?;=21=v&a&Eg& zoPM*NdI}CQE_yC=t1BgGB)*@wN1k~_7K3OV7bG}bgSs4XdIq8cb|&tEor$8)oLz9* zUq*0%ZG4&>8F+E}EOaDpvlIZ;uRU;Wm7gzl8KK^3vB+xhFOO}C5a!oG?+isL>3A-- zm6hzuYEr1J7OHf)sh(k)T3cDZDLf(A{N21rv`W2FR1nMZ4Q(rNE-_qDo)(ibz5&W?h`A=)<~Ht#~zl}V7B?p6kB;mrpxh8 zOvz4d)kzsNciks*`=b3-su(^9IA;CURetk@_2fO-)*E|F%KlSBYaN&_$8MXrh}Y5) zkpWFRc-dW0->x>I!W;-PA#Dy`v9qp%z{tRPk##b^k5V`s1vl3w4t;?(2MI>=CAe`qF?H z0i5%&C4^b_if&)%y|fM4kEpE_ZL6_v-5k8wx!K~Gn9DmpBnpZr9zZ+Hm{V*oG#qWtDf*Dk>K4>7t1Nm4huiF84XQP>>$FOZ%+ZE-#oLU8IK?{o_f3|!iNanSndFC z0l1$7srTq1e6rv)8L&t4uB|~Yx-;ORi`KU|m8UyXpKlu^YhLP!>}H8tBi|FYxw6Vh zqF8C&w(64UW?Vsx32K)ruQ0M(-NBn>`BJGb)mV; z$$(J@vGWbjKY7`GbWRGMR9EdAO%ztlwiTe6>z`lK$x=e)p`w;;+Em*UlN4X{_2w@Pm zDPgzrM0S6cf_^ZH42xSZ8F)@*S0!RrV{?E#Rd`wRMzwVZ5%*x2I8Br@n_SLlSmmY3 zzIMU0-xs7BIMjU}8fn;T@}1RXopAGG<-0I>_n4(avhNbb*OwO&alPG(pV&?a<;cST zT*tdO>LMgwJ0XhWXUZI)VJR1FBrIX%o)a0cg2{ia?pr^D=VxW&BUFst@+_rXsTr8e z4;9_Ge(Ne%$E`Qm)6ci7`)S|p;?9DtqlytgyytG_>S>6G{!ty~kEJq6+CS%vls z1T|}6!put~nJ*cLzqn-B-OZ?}3)xjU=!$g|ZJwN|?0L8*Exe5vKBvMbxV|m1{;I6F zhbe3$Kv1E760fz?gSB${iqms4!A8@vp~-UK7RAcIZpZbp?UH%EJ>ByCsk-!UQ9|Ej zCeNp2Xg;H!JVoNCN;_}Vy=BVz!b~~kK!c1sB;1xYT^`<8%A`1#j^^M0LbH9R1Zmn7mF$Sz zr{{^wNc11G^cCGh97IZtDijXx64^40NKRhbP-A{xlB`jG>q-bkFK52@6T$R}s@z}~ zF{LwnOSZ?RTt=Q@E|xy%DJcCRYS%?E&d_f+3l=vVwJkib>z8gP)aU-^5x~`% zj@H-h!4tFr*xBWu(FY}W${xn0&n4;75S{e0-y#*V)kX>M3Y~S03vRePBs!m~DPx^U zLDj6AVoJiF(iKK7GaZs{0-~0F(|X$e6gq}Ci>gXAm58ZIA1-84n1gDnkTQN~9&#lF zqE27mhmeG;Hlwnf>s*s1@t4BmzU-Ijt_I%vgAihx5;bmIYBW~Y^{WeA84c2qP`Otq zu)~cJW5k&6^U()H>d9(YO`Hy3)_=|GD-X zthUNE4?Lsb2Po}#;T_t`GrJ;gcXwRHDrP5Sat1v6NgfkUFSH_pbz)$LHvQu<*w&Xl{#je|yY44oV^<%) zB>bHo|GXC4`X25-YdiW9LgHR2mOw!M4`hZzfNkxCf94;xEhoge1aS$zPsaG0Q}yS- z2|#ON!mIzNtvxyJZO9Jen=6vPp&>uzO-Bk^Q=WPFkJ>IX;@d;krOt?i|Gtib9?*f- z+*jZIqqgHx1j~@wsH<N*sbC^6Xz;>X+$_|Id+U zHV5zfAP_cVvHN%Ae+@Vt!SW+m{;M(RD0=^@q<(mi{~5hK4&o{>r*jgT4sPu;;NQLW zLFo?Ny0*Om(S>)XyL{Xw)C2urUlF;Fyiy^Sli)74l3;s${XZ+g}5(>eQk?^Gd zjj8`bIPdP`6Sy-5(!NFf_Jptj>4f5o{>Ie*G39h`2uLAPSA@^zy!qV;c><)vPU!!; z^A9^iMhA(!?|Myx{C6kh6OfL|8S3Aie~+tIU=Z#%yE5gBzdIpE2Ko2Xdt{I>h{s2I zi?wMfe#iCH?`<)vH}zVsH3l&R_oT`Bz~OcYduIYJL4zW=^u>GA6&UE~=sGKzIK2)x zv;$5U3RrkcsJ0^t)gt>86#*hN-WC^j+ENg2?Wa_JeA8z_ya}^0)`L zK?lsJFOyj+k~=U##HZdM(6BpMY-zND25r4Gs;<`>ITbD;`N9RWDV8K2(!#op!ANu` zOC>pO%*p0zi-4|6Xgey59y{DH_s`NnnyPRPwV?w%T*_y|MW#`cQHp7@BDRae$Z(&f zI~Eq7o_&3HM>bjVqJDtm?pCf^iKWQy?(S8Ebou9bixaipNsJN$P|_qJuI@(-NEn6R%dOEG}TLTKV>ZX(}G0t8NFFu`I33 zfRsluLH;y?;(eLQ45~#Y$v0DSa&icJR6eNibe&9|v)*3SB|LfZW>Iq(XV~|~U~h~` z1(S5_?S!g8r|zcQy0_=7;`DqE*Q-nC=^%3xwC)Y`f5zW`zv>++E@gbrTrdTPn#FB1 z%;th@mI_aUnlte_jqJyVWSY&*#m^@{x*hC4&#UxeqhMG0{v^X(3SF+A(UHOIa z&o5-N)%Y=a#pwwSvmKY2Rf{q!%p?UUll@ZJmGkZo!p&(HkxCj4B9*(V%@*x9{wB=C zl7n9IJH;M42$<)|Q?x>AUc^+>_S4}vbiR++joGx+&A{M>a2DJ84Xg7UY6j^#^>w8x z#NAM~vgeZz(v)&E3POclcZ=V%DR))&b>nonyF;*cx+j!Pll5t*hKTdE;*M{s;jsZm zsmS}*kq(Di9_g|>2<0U4YYz|oTAN-b;Xa{QFryz(^Uu!KR2%YXvJr3Jr^%)8_VN_g zB)eJ*T8u2J!e!w?DixNS^8@~(Va#$51nd?~%=5Dq1Z*%CD66GWC?O%?4O(KeInjo5 zEb{Mw#}Mdy+ZGS=zy*33F{?&7X?&hjgKc53&}YSEkC^c6!NO)6macu^ z29jhx+}-4fJ?(B}FLy6`f+uTnAWv7KAsiVqu0$uVuE_|8P4d zuzv)=(#*WW%|p%n#+eQ}eQm@2{r%OocHxFCn_;~8wVC#?M==6*_B2^-X$k`BQD!=$ zMW(8Vv?m)pTU(n$=7NhOZ5vX|Z`1n&}@kkzHM$j_UylPKzt}n~D z-IzdehTBB)-eGnQ!D%M~ZeZ8En(9ytPRb5Y(}C{Wc8EcYfX#ipIK^(3v=bzk3cNZ6 zVxdlot26E9np8?SGESeb38-Whh=;IjDgY0Bn%t;2m`1>wG%I>;u)s0RONkchc=Z(# zg{{1aX-B+ArgDD0e1uJfx6q+dB)D1*(DO^anKy?<*DvDkkXg5ZZ>$i<$$H|(cb9A3 zXxH`4r?kRJ zdWsVQqhUF9XzuaQ9>|!`yp8-&*!DW48u-2Mt5eO4)~T1ja2s~L4hRS^fXD>wtZZ%; z2~)E5z_jgg?w~2`LG&=VmaAT78w7Q-m1CEE;aBSAx;R`y|KY=jgwOZ)>>V7$nnT$~ z!roX$_ru-epiV{Wvz@goQ0~;UY!L2(bQ=8m+v;YB#G+aEN}i72_DQy+dk<>K!4Otl9d*0&iOcqWVZoVPLA%SKTPyAI>4Ef5{d&swcJ zWJ|HW;7~8^$xTK%>>N6kbfgCWB~OlpGaagb@1EjPb`2L82D7Oawa8~va~r(#rQ~5z zX-7a(j}w}YmK)wp2EjUHailB?W>9ecb-ltIeC*9j3 zxEgkO`+STTWQkLzo5R{A4PPtNW-69hBZIzw4XmZ~qMF;?$1F{8x^4To`1N*Ho4+~3 za6iMp6b^!L)HoSkU*%1E-z=v``_l?*>};U)HJ3)WXM_)!d5n6lPdr6i3AnDc@_}f}u?oES zOS?$^Lwz&p>k~lpR@|F{4xJi%@pu3^RyPouf|rD?XJsz(nuP0cl;6ov%#!StL0IA7 z;M_FsV{=%kqfk%L8LZn4Cctg?Ubn zM%ZlMDtc**uR+jm@wMV$`SVGy?X8_1aqrVKYUWn!BXE1*3rova>Zvw)vfE14F(ksf zPusFo3dL0l474;;Xg0<^X}zE!wTZUANG;^t@641%O7$4?Jy`n7pqEgBarmJq2;xx; zQZY(C|4h$+2L*ou1y}-Uf4+VI{_*1iqayH`O3SIYA0;EYZY&9GZO_CdJ^k#NEr$hm z1GzfhgaQJOZr9NPNHSr@uzyx!5Z)FitSMkK_bfoCYkMk8^UK(n@UUto#GshzfQ#Q^ z9ClIAHuEAdXdI0-^fn2@ZFbmi)ZI*rafYYvrKkBN0!iBlye;P zMx}LSiaXY(Son5Dj$#U_7+DiXWD2cVcCjQz2a$6eC9=A-K1%X1g#;gVNlT%e={~E?AUhl1P--h zLXPWJ(~=Fg<2$%2FcG135 zkeumwq2LU) zT^NjTHQ6^v>IUI*5FX2KRliRRbe|L8o=@#ATNB=vJL`sWI6bku`H4$6?H1LxfrhB3 zB+jF3S2j=ximc+nLSrSXy>59;zf}*l!$2+g+XR6B#9^<*4)qK{+3v@QGvw2**r58( zjqIz!(S4@l^hQv}byCFKyV4N2;(N*1+Ya~PUySy_!(=lQ+4Dt;72o!BJo7qrv862O zQOsZqHZ7Q8ln8Bctu!;tRt-e0e137l5)0*siFs&=HRnX(Oo)Y6ozi3FUV_Fwsahwv zYBAc6kHJ6y=JccDD>CmDk5lpMwjr`7b~h?)eLh(qfhrK61)k7wjJ*4i&w2Lya2I%_ zmvOI5R2#}611OKAhRcS+0LZe^aGgNf*$tdgX@ThwZ#|C8NTtR>N`ayM6V?WQN}i_N zg>wEz+CxWA`dSI=7n_>D9qJdqR8#}k+R`@=NnAQf2!5`SYgpv$4nb zKB?687*W=j17}ERSE>Z*&6*&h;4o2Vp%?XkPa?EceW~H2T#<<~zxC|95|Hu3xUG!} zg^qRKhf`5<8_-elntU=h z8!Sj8%vB*LxpbQ}YdlTiuGROiT2kKpb4xaJJ{1P^BOrhz7RGdk@j^ z(ME`|0eIuLW-k^;hv9ArqiB^7xqBI%gzo8qirR&q;idbb?5ZCD$wGD<2B?~AdpjHX zn!3y5pKoe^A#kD|@sEp(TS&SiyHOOm&zK$RsL|lqLz=2c1hp7!@P1k zxuo!(_vt+Q6>Z~-CH5-`^akZvlrdIW!LJFDbHmZ{62iXoY)?8Wy-y$N%L%SVW7CWL zX|cl%{EfR}lVsqPS32w?r^~I8UH<&irw5BnS>xRH9WpiV;6+gm_axux0M53-F-tK^ zr4gX>+6uRtmxNtaZf@lMZv?0UBjULkTYwC<)Jm;)pG@{A4^xJc5Cl z4xkN0GtAC2%YFfAA6@yFa2_hls>EuB_j3GKfbQvg_cuiP)p#&Y{4djw46ybyHtTuBt^Nl&{ zaAt&X3-52~aQR<@q%*N9WwVvpEfp=Tq0xMo!AcL;kX4{ffk0ZNj-)DJj3j%d(PIyQ zg~4(QE6NHNfy#W;Z4T}0kmnr%o*UZtNE=gSRZfj}xcWZFdVnpG7Q|r*tv&BCkZ>RD zqpOnczd7?}y7}~+?#x)Pq8b3zS%RQkk;w;wP;N-d|vJDU=+rS8S_If=@3s`p z3v|NGH6yqUgIpfr#e&@ZQ^R5m8U2H=9Utz2S7^OB;nOAp$08Wpg~;!%QHYgF01iT= zqId@aUb8_c0nN9)Hbas19XZG?vr|W*`Pz#w(TMV0Yxs@C0W$!xN5(z?NVGbjAJBzas=?SS!UL4T_Mo3#u&tz%#vD3ee6 zFeQMEryZ*q!rcY=-#b8_LN^AV7rL7rWUKnAvL^$Zd|{*@VG4Xt@EdX_6$vqUoQ^(2G0>A4`5jlt|bL-l3p?FUN>1tK)vMqE#1Jt;Lta5zc+ zO>jG-f%V%_YxfVG(pd3vFcY#MbT&|yj=;e`ownc?`aFLqg189Xq0V~l2p1e>jeFC`d8<&-`&QL}r8ylbN1W@TA;K~*ltjlaOSd1s@{d9pq zrqzD98_g0+-OjA}LSUCto}QkPRlqIyFWu6qKZP8~PvLL)8{qVRDdi{I1r@`-%m|k% zW105Yb&DD0Q|>_FWm)7?$NP8GBY>MRE_!Ll5WoUSM`!>hT>SktGCfv%W16heZ9qOK z-?J*WTZ#pcr@;h~t)OW`?9vCc4r{@d>$8tLo8nHKroKK@1UE*sRk{J@ETLDTumU~m z1lAocV4|}lSQJ>09Uoq>X_WWJk^n|=sHRNucyDm2pL4ca$vkTIP!hr&Rs%>fDSNBf zL)T=h>`m}MKY}TA1PZlJ7DfQglje}+*%Bve2 z8zErLLPZYCT6c=4{+%<)#5$9mHS0q)Pn%69`8-@DJkikk9r-q{0xo8e`0W2h) z)Zm8xph(P3NH+z*d#cI7kHI%tc6d+0S8^EI58FO=Ur_2vyVH%EN)>J!pU!4^5 zz&&==WoLbJJ5RSc@?AR52ZcL;2{-Tp$n?5uuj&kdtWQ~dRdi5Wn5C*H(o`NZV9K+K ztAD3dfWwt(KR8}~IFa6YhJcVT5SX%H&6{(qitj6&&<{}iFU!9|A?aFmT}cw6TPL$s zLr@}=MFlLHbDNvwOpgkd6kbI0TMg=<{f{%L4}rB6-7l}nvgHCdgBc{IZyjKlp2TAS zg~qdncl;FTp6ejsOfCb$DhLqH;$WemRWL<7L>#+RNF!*=jhLm)nojGzYd%)VjwM0> ze_jHZrSgqFRsXlyzDu4$D7V2{X3ts`j`^W#04u58G*koSy*m)X_{-xN9>K&Wm74C|$q+njv9#@rKKB z#GzW}4x0zN3hLYZ$_{6*WjsJtF@;zFjT^W?ci6zP+gXqbH#low0938G(AM~iCsj=V zD=#dx*fe99<&wWRvLoKcJZAq^$y2J4a}K66Sb4DT)H#=_NObDdd%#~S*V;pkHl(wJ zN&&{l@PlCW9(aQYQj}FYl!Cp`|Jt%P$DJSKDdZq|SeNt5~DS@8fY&WXUws@x7L zUwU~p0ZNFGf>YzYN}-V$h%x_*bH{G*xS$_Z%};>4LS&O@}NK!2aKHnjclp)qbTT z4!@3A*0ELr901Mj!t4Mkh&4cevK5Xt#)O0f1n&Su8=NejGk{pNgx}CZIq+afMZ(BS zw=AkxUUw#n`Y2wu$vQb#JkESvCB$}Xc|tlD7k>EW8<+`p+8+2h9X@SzI9WBRckYfj z4i$n$?q;wacV@wM*t}vR)OmNMVUraMKoyX+dI2MXuCA^LLzSvh_i`N8rg>^l(+J#3 zR|dc`CBcfU@CQQdRw-G{Zx_mM2($srrnxYpl!F(LE{v6+P2ZX1Z+bE^@1Xt}{)!Vl zZ(|?x>S7(3&`z*-WU(W66A9K_@0Ij|At)9CF(jmX1*$YA-ps6TZ=@AZ+P(F!LT zRo}8W^!k(907}mS6-m7K?6Dk>Yvuv^$C&wzA*28>YpVSY3#&PCZ!6WzZ)J6w{__T&?tXZ{u7Lf+--G>F@evDZXtTX;eYPJJpqdsxox zaSN>cQ+kK9y*iX9RwFX7$OH6_zpkhsCBuv3#Fi}#MR$NF*2P8y<2r6gspEzb78sR` zxnu$GR=T(SQ7m{~A251=HYoryEixInLV3Z)G?&n9E)=y`6{tAgV>&ol3epxa03#^$ zlwCr-gfZwPP9Y(oRjhwD9q&$&HfIT%y8*5V0>H;=bZAHwfB{Ag4UOqkA|cn^{{7(! zCndm{GGSNf0XOxv&=~O@xa0&Jd6(mdN*xFPe`go8*{-|oJA;h}J|#K8^70(k^g2Ij zXqy2`DdY^25NpK}^zS*=07UP(o@IKHZk^$FeDpOo=Dg zi%kY@8iJfnM+$+qjDG!WxlM5C4^CJqRSbk&YOCirib2%FQsdmSDtXVunAJ-Q-m@q) zIiJBCh^aZd^&LhM!N%Pb#t$G6$iaaX0rRULuOOQrIbqMBTOqv6*Qghk$Hpe1Oj`W@ zn8@3ND;3w~MDBb{jlXvCTAjpRPtsfgC7J37oUKX4hELae|+$e zC5pBibwF0*kw^l-YOeCU?wkY^F>$-(#3g$=8k?TSX<1q9Rep~XA0+v3l%}@Bt=pmK zkHEDn1%R1T8?>MF%g8bP_nZE8_ouGMBJp7}VI3>~`BZR$*Mp}!>qtZ3Z|+&$P`dm- z`}99MN8ldn=pgC;uMYqG^6x&#oF#>@N6sF8$HN=FSAjtadYW}C59#NB$m{0~JQ6_G z)Onxe=O6y>5Ai*?xbaCEmxAdJ9qr*aIC~5q=ELatcilLwQPO!JfsNI0>chVLn<2(u zql2h$ci#ISs_}odzE%h%kQUbP{df8%f`ikM@aEDF_4~h`0dy6X1|%R+ahp-}clvgc z!2P_``k`w1H@6XI2NIZ@y21ZDeR~WP#~{J`chu7eNI;e|ppop~?C^gV#9N>^BIMA& znY+UV1nm0AbdF5t$aIcO=P2sn9z~s_sB;9^jsTlG>N3^O@Mnu6CBY5 z|1a+*;96xu^!0^~I-;_;!OmcAoqAtxaJc2H3+4a5P2%T9lm|gDD=RBX9wT{5sG~I{ zm!71G{lqJ|bwm6eRyxR_CVxX~ST#5y)Q!riicJPZGBjtNU;o8>du3Gj=jwE8`>=@V(^2Mn0dLJ8HFK0@ipSIIzd5n+2wCkB z+b)DLiG38XJhQbTkqpl>icf<&EtY{@{lBIX1KsbVx@wer+nMF2U&1Dto57axtM}qn z!A2i5hxuqtj~`mGtuq#;tQWC9%{|e+&0}->*KSWQLr3Jnk=GHv4h~$;97F$@elq(+ zGsAd%FbMH3hm*J~vuOQT2gap2_>V7saR65M-&U5`TcwaCGqKHrp{i#5 z0iNjTRA4G9VfFso=j=hHfNpTkpc||B2|5%KWCXoGZSDW~5MK#1Ha2$DnM3u?_XbID zD7$@v5`(Q)gB{Jn_IzW&%o(L)qcxv?`|`%HzD4pMIhyV)|GoQZ= zDhJh^WM+9`gf9RHP22M;jxhXDur(3r7H86{^D5W;RGr^&8;3$>-Kzz_VcuWSR(g%6 zJ*kh8h2RteIDsKS&M5g1?0}qoU8T?0ZwKbKGKxQe0ym_g3Y>Wo;^Bd>eYYfhM5V%%u)vRqVWEXUa`&kYx=97TkZZ6d~3(&YBkl7#!_83_wrzH~ZpkLHx zd|4wSan7o(yBwDxbHtq?z@;d$>`bf1Q$k`s^*F~h6aK0+U*mFCt!uju;l}$F??A`$ zAqMRa9<1L3d;Vw*PXFQtQbD_aWZhc zPrCDtCy>;!6S<#$m1j&!cRd_8r+nvu#s*h*?$$S-NZ}ihrLB79& zS$yZQ!J(mU--!IK9==iW9KC}_lkbJ27 za}<$>zi+QK#ee#0j}K&|5E{yv3CD9d9TTON3~_LXK_kW2bpp~^#dz6mEBVdhR^6~m zarM4t3%2Dk|7w5y-qRi52xJLG@<(MZ{gh+Mgz{7EpP#7Dm^=fe$fz7PMg;#e_{J|` z-94Z2M|yl1m0_Xxvc@r(H|bCk0qF%9kBET-wYb%$p5173RafSTcAQ?Dn?K@}N9D=; z1nX%jnk^($RbTphBKHEjWQx2sjl`MuG}mM_x(W%nUsjW;7AEyF7Vv$kC>8tB@@E%3 zw#i8$F~U`Wt_6_Uhnf?|tle$8*X$?x}2$eR-EqZvBKjXE@{%*67cNsjTiV!UAr zSOePcOu>g`(DDA4&EU_0CH20fTzVkb4c-f90Y12+Wg`pDd%(uGDe@o&eTwQ1C6|jM zC4TmobT+1%J^&g_qNa!ZK+gX6h&xE_H_bP$2nz8;#Na{keU<5)w#E-%`~ ze+(wtrV=^_G6RW1YQ}r+Fj|1GG48t8eyB|KJ8=8c7Ym8VF5CoTyPRly`9HO)`V%;R zLDSdFHyca=p|So}Uk*aQPIg%tMsQ~ec)iN?Wr&L5b+Bgv2c{7b6q z55QdViTepYfD}AOxXLW4L9AsQVxl1)cL1iNxv!S;bM|K8;4xK5>WA?KK*f^ODarrq zn8|x_a5wqp$EA%xL}p?S>R*EH)C-gn;rfB&AA_$m7Gnwj>cbQTI74zk8F3j{8SqRB zE%yI8OqdS%f_J(Uy_tOs=ESP27Katp7hRA?Gn@g9JGH}4{*W3>0X$e->qYfztYf($ zfqd|;7PK0d>9x}#mk$Z{>H!0M8`Pzf_VSIJK;C4@CQlbD~F&6`KueLY` z2A$2SKl)b#k3j5P<{=OxJjp-o!KpW`fIBCYlsI9 zb`HVqf2#ZiQZNi0E$cJ5Nmym z56i+Y#b#qcB1|4y*b!%jwSWKl)eoz<#|XZ8)>FHB7d+N-ph?&er(-oI@ZuS|4(y>T z1c&3#Cg(GO=sh>=Y;a#(28}MHxBck!&w0Aw0D47lE_Gtn9~gsdcS$<Nt zck=~ZslFvZ^rJ;}HExrDhW+cslkOZ3_sE=0aXQG# zi_QG134jaw6K?&bzO~>bEd}O8Xn)e8dk8BLh|};CbGP)Jz0oO)3*}lL1EtfDe4H4A5^2b^f&B3g_N;iz!3Ei}JnVgi38F=)FGx?W~7sx&;bHmsys%J1S> z5o*2gBEOqGU=zAricD`sZZZvatt;2wNtvWZXr}QmEN4GP`ZMXLjO|zGXZVYf?6Lmk z%l@Og)fQL>@1MbIZFL?(BY^TM4T8)rYb>6ib-o_s)W*LpWl}VtXBcG)r+G&e33x#j zKsX-%u7+oWt!tjF<1ZvosDHp@Q8E=K4UTe-!(s*_FL zb5-HzYvMu@>G2(h6}T|!gx0SZB4v#wrcChGD%hjCCpq;s=L%eSX+nfPIZ6nil9iEz zZfI(w-8sc9q>D1?Y7N`GgQddll7}iPmaOLRHZQg zr8M{~V2;lbj+Fu1UJw@>8HcCf#6(6t%Y&p}%>=88!P zu3GVnJ&m+HpfZ<~(%)V7wXP+06Fb3qX9x9Xk!+-K{1pvYKoY` zwe1=TJLxF%N{5kL-OI_du?a znLY3874_JZBCfkglH1F$9dy+}%y~`cm9xSbsO&N`N^quk;nUnEm6b4822Dl(lUq(X z=uIxJX*YzrU6SBpG5tXVK>(=dIfd@_k+2bbcD0A?Q)7{u(Gw zvpF~O>8czbF>qAe1;EiPg&uq&fhTV$&hA&eqJOyMC)~R2GFFz~MrAX|B$}d2f!eE@ zX%WoZ?^7L+uiRQg+MJ-qboQ;cvGqF+hj4YfKyTLw;iiv`YFS4LWI-3uQ5OwWXw9wC zM54M5oKt!B8iJ$@#n11bN@);yB`3YJHCr$!>%!HKQsU~$7>G6+DjVyIK7H`e*i;EV zgQV%$n|dN<`Xpb9e0o@P2t>Tyjc6)m4ZH%rOZXa{VnpY&)(FsF6w1uA0qsC zhv}9g$LJap*YPL8KuXx_Qm_;%OS(_zfjy z&uX%o+qW^N1d$(uOR4)u!U>QumQBpauk-<#m#DPL`uegDQq1wUH`{9(l{BGDvue<5 zLr+X{>$>dn(JP=dV668jE9To?dCN_!yCWf$qs~=}r6|W!j~jMDvB&ZG8M8J_`DXcz zxUt=7J|sQu_Cr&<9QcW~;Tvx%2hrRs7XIjJtf|}bTL(+=ijB4H_iNP>qYgaoQG+C# zGg;bYPL6q35KgeI;fPE!3{g--mS@zWfUWVn(SC8txAL(mnN9HN>QglzaZn1&;jG$S zy?tRDl#!gl#^Ygbx3U9na*fekcv&H~>% z?qO`Ih^{~=$w!_y#B`Mi??0#HNuT680J%(|Z|!t^!zHIo$}brdq4Q=fprl%a?T{(_ zZihLjU7&vat$8Ujxd53QwK)rFkYGM?wcSb-SOi6w+tYVAR9!}f{ETxdid4?QGju>j zpV0OLMAg2HQdx!z8Lux)M|1FLtl)H~5+-)~(nLFft& zWvCz-&e%xN+M4osQM!#1$MZe+xkU_|_waj@nms><8m!3N;dFGH&j_^6H@174<=|U-| zZp4qZWqPRs*prwOKA;o7KHTmvrjyTrW% z92krK8w5~FfRW_(mF3uh7>97wRn5e^$2X zuxjHkyN7Ek1A2QEk_<*5!< z*8|KP2Iw7l zwtqRPf0EoPx>Q+B&K(7)KD5{1}YQ?K@X^D!K(SCRpE)35x@->A=rnVwet47CdKND-<8+W@cLoU?xpsCkyKK?0E7x_r z-(RneejEF|DnEaBR>ZDV%D(N`Ej?6UL7!zSvRqX^DPu8?kGCe8?3ADTEPDSomq=af zXu&PBs#cZmM9#vbu`$6VXOLibqDI24grV()cA^(V{z{5|CQ@`A*xbUec&?&KAK+%y zivuSBevZxM9kLEy2S5r+YmZ#wkWe)(RG5h0$eW7?K0FNBd z*>M;(fwdO@%Vi!X-LbEE+2;8M6>#0%a(22_WsmQS7!2vqd^w-cq^p#baRakhX1=Mx zpD(b>s<|!x*8SNoc~%C*0H2-y>_v9}g9#G1aC3y~n~n*b6D?_uyPW~9+ABsI9i{dRud$$>N9>kVg=8_PE`otbG1WfqOCjboS2^R zX{gk6T8I;jF5~3PZoyTrs``dTwz0XNJvTABSp?S&Y2uZPGAlAX-#?Hz)FCdfytm!n zE^T)(Nvqs3Z;k|Bu5r=IuV7jbAvt7{Z@Qm4Lr?*Pzw`gF_nuKru3Ot^KoA6_C}5!~ zHbB5a??u1`QiO!wQGw8N@g?&XlxazE_vpfNG7mb7IR9;bf z{$$jBJXU1TImB%)?a(BD^ z5{4KzkCKcw8~pbtIX$V{U>z{0`&aBaEQ)eIl>>%~?A`qw3L=gsa0TqVJi*@GKZ|bi zI(j%xXr0(-tN=1C=}^QWOngB*r5XvOPW7?$3)6K}oJp$(UqoxVr@5P~BDu8;y>Iwb zdwbS=F;A(K-Fd*gjW#2}-4oU;YWHR~6-WVlt!5i7*|*GVNjt6R09~p9`w_p*b{>?E zvgB5mqE1p-sRMAs=0OML&PvB4<7NE|yDXKJiqs|l%vjx)rm9)#)vpaXdl5@&P>Osg zb0oypk4|rlKK54ZYRSY%PJackhoByr(TF9hJ*$NbZjLa2;Jjr!Ar_71pL0hwH*JA! zYyrWESl?tjSRY$LHO|UcSzC6*BJ+n_)(@hPcpH#JVFS0d%^gh+pp!b-o#Z(<50bRP zRd864!x8GjPM1KmT+A=iSWk(D=d9oP4vPqIqCPzEi`$xZ&9Q_L<5}?j!1bFRhzkFx z#$N)})9D4Rfr6eL!D^$0(QhGhzPk1rY69Qh%GO8+rv@OZ_(_ww;<1wWL1(DXdgP9q z+|GNv%^4O4)oedYkR8UGi8T@7mflv)-kLSWVG%jPjozI#-nzIMGZI#c2O@FS4N`L= zkPecr^9xA*>%#>(V1tmcc*{6GfVj!5u^F0y-)qz#X*x7NX*eaS8jxUQP*8Y?H@G=- z2l@R0K zZ#8ZY*=8rFcwkR_?(N`5r73A;YUdYkip!AZHM2PZAiR&sLrq*qYw+Xkp)agXuRGdzRDNW-M(l;Dc;bz3t@1#8X5y_sU=Q#CdV($!p=UFr z9g5TsBv7wYT)xojP;f4mmz+1cZ+8aT4Uc(Y!_9^H*On-URXxh%U|M?cflH0%4c zU82m#>Jr6SBzJAIOc`$zP?eD??JA*NIk@w)`2%slqaESi=}ZzY8rJe!7Kd{Nv0rS= zk@;?d&KKJ2Qly`bPG5!lQBZ@ubkI)^YOs$zBw#Vm+~@w(K?l!R9p@N!UqZ|swtI4@ z4ZW*K1BIP6)So^2eoCKDYqw#%E_fvK0cDjqR=0IcX`H2kfzev!jf02VG$@Z=GsE8_@Z@qK+266kUbsSgVYBums&OZw~QxhAvzVyoTB|4yTCDY_ronU?H1CXT&soJ(E_{F14l zk(O%Gif64FBTN60+Bu4d*{qJ80P4)JVz|X>wAQ=5&29FL0}scE!%35-55yD)wI&ns zI{}E#Duz8DG822SEANk>PmPa7Jd$|!1P;K(7 z^l+QZYOC)vLLT?0`>Iy))&nn^ItNOF=mKk!+Gh*i;pp1Y3$>ttZ`QY z;|(D7_H?>Yx87}R}UoF3tyER#TKn64CKmCf$iTsEmjaW9?Mn&NBvX`3t1GepOl z>Hgx55#DrQZVl=UUsX4(UehNu6o%WXaCk#yZlGQ|7VJIlQ`C@}pOPBX&AqEP+TH#| zpmHe*vrAe-t;7-C5pOl#B~+HPM#IeOzteXx1}V znbpLB5L%5Omh;h`aX$-*Y&yGIJ&**^VB3mV+V&VmT#}Wk>D6_K9H?9>RNI;RAzY-g zQ1ezgiqL}6k?HhZQFnS=mrQSMx3*N&Idw5f>?*IcMpC)4z3#AJQPUM{#Y{rqz_!RU z2?!wqc_@XJ0sZHbRRc>s9FH+W^7oCOs^xWSmDS}yF5np^nn1h1Y-)*7Kr|LQj9Q9j z4|@a);(iJnhAT!eYDnHfUuEU@?>M}J{xWP5L6ZRBMmqoJ z7i@p|JUNU92rS)1TMBt<$pEH|Jyt{yn9F{iZL%xbW&FIH2U5PWD(F)K?(TjR)qH(t zCH2ylqz(Y!gE`JbFEN+8RlSP9ZpP4I0hZ&Eb}-nq8g}!A))JlMl9pF5;^{NcOMiV| z<|l~(xo7o-=?yvHK^xe-X?gM`?;8tK+jY~IT`t8b^@&G&%Z6&ktsUTnb<8pi%kF)x zQYmX%ZK2j0uzL_GT;J1u$@xMoKOcYaS4MJnS%1GwzQgZ}4v=Cro^<369l-$me!#S_ z-3epe^mn>zU4@5Br(4dPR=e?_+TXsnMkOQN{k=-bh?pL9bqS;NgZMP>iKiaF!p~tx z$!pEy;z>TBm1*`dI}1MB9R}W&7#J$gsTzpGj6IPVUmS0kE=ZtL>wdSM_%Z4 z-uIL>2{4}Cow?Dt_og%QE1&O*>%>c`@`{bu>hp;PC7p|$3CSHeTU|m2T}IE7$%GA+ z8kN|tD~0tW#vL{!sb@%ATxXp~X`sLLy27G+(5ND;gL~3th zf7AVsP$JjOZ@^_!A<%S=lTHM7Adwl1Ak5t#G~df^@yY9HJmi zk|K7G!CRyov~Q9Uq=R>JGNRg=#tzCP3sWZ~H0&5c87P}r%=yOYTj75agQb672-CX_vD9X&E{xTxS146MB#cE+Y{&Q zf-Oc%zw5MS{J6Qnea8Mp>|xD<-%meA3F-Yc?m|2Jx6v=2Mf2pclu@d80X37DP>A;G&jtfEMgLCUpA$g`F+jw7Q+}Rvv z?ug1|y%`w>-~v{#OyTQj0+ofEsi%}87K%%vg)yf*zZ_tK zg4|s!@)(;3wl0Zz3d;*1$$HWTuw}aj_%;fqi_s%W*OvjX%VVrBaRF(;8mpXv*eOD`^Tp2y z;&wL{&{*9NKd=Go5P+8IY0U993GrU>)|)REX4qM;$%Ssc{6WmkPD!BJ{i#}H-Kil9 z%p3G-A2p}!&Y%@Lhbu==E%kwtBuMquf%@eSV5&A+q*Bil?a-)xUEatw>wOvYfMexy zX%*b@QGjNjB~hCUtW<~al2ZiamWv60kXUphMgw2M3-4Ako4bR1G8B&^2P zRk+_=Rc{H%_6H0I82>moOuB?DQZW`{^XSrpWFeWRpVmU;-x!&Wvd{S{5!XN`%Z8&c z6^SK>LdH|Z$wwx21Gm_{=_479tx6G1#~a0(TW6|TS99}C`mjPwycJk>MjYKZ_FqD5 zit+iqNi{f_9btLgIy+(|A+}?$ZLU~fcfP1p=~3rER>^Er^-W>oYIN@M9{1#=ubRkK zKw;NX;`jNTPL7MR?u4Y4M9IA2*H<6Qe^WKG-kaI)-UvCGNc}4MC8g}u?snTatTkS1 zc&zPq4Yo!&Ta&WO@ci(<#Uud;!)*dw;Sbog{ZS-HbJ!Ed9hnmB?=?oRCA(Ql?0tB% zF$Rz-5yW=D!L{)yhHe_C#4}#I8ap|2pe#aiG=)-F25h}k#M(m==LbQ*^@u$Ws7PY* z5DLT*uKsjc@9vNxs?5h!)HM&e&PvYuzi@86YHY>|dM{P~W( zUh4yY-2%ye%F%X;EVoGbaVKl6sjFRk`>;AsE zE>S{#y>Zf^YzU4P;0sh9%$d(FWpj^jh@dRnLMMZv7&WLkU%NNCt(s$yHwbUiiKDaCpizj z+|4NzC1nMqM!1cQZ67?i$xEvY_>>Jz-Pb|&0!F4(BG`oSGunaiWJHV=H0vdoY1K8p z=pjsg{kbM6>SR9$=Wz66m}|yuvtlo(JG6Is1T52?_j{)`QHCDCZLE3inVdoe^?vDqV4r~F}PB%iHKPRJro;;_gbZa&VvKeln z{s|+V8hGM!W0KOXJeO0c>2@0Tx;pdtuG8e?@KN(#cR9DaP|@H3_rdw%tg{m74t?o* z`e0?>R{NP&zK7v~_J3H7dQCX+>A;r%3~v_UpW`I62RjJnC%T5{856g-$w5OU=iUj3 zPS7k-1M9Yb5+d<|4(XVW)Pj4Tvgw@(s}nK>aT!G7Y5@VB9Q>}jl;(8AEyH10L|)Zr z`x(wwdwB-!mjg^6p>rDuET49&CDs@+-!FTz7fp6dpeQj;Q%A~U#7h+6 zvbzuXe2VOz(Vbd7ZBTQII-Blfa1eZ!qOTrk1yr*LOk^4H^TjK8(yLQxl%oT&@|2yU zo>-bvUafC97_3BtQZoB~JX}3dn0C3q@|LmmcDv|!p+gA#F+et6M$!el!#(M1n_!DZ z1u9FKb38v*%O^YTb?N#x8;nh4#pp%A5-MS+Uc^#tq`YT5O0wZOEl7Q8Rf6EBzr7iuzeTEy5MZWHP_AOv*UGBTlKV{D(YYJa^rylqR}*B-Wv}+?@=-`r>bS~JkQ2QB?RaBP!05((xC3F)&}(X8cryN zGMo{X)u6e;n~KcI+#Fo*FybVx-C~yO6`DldW<}@T&gV@f%-$JMiG9di2<_R-UbCrU z!Q9Vni6>OAsRwvoZ^QN%S!W-AA}ZxksG5!~(4XN@RDY%7#cAkJ zte&auQIGn{oYxp$W^~`IG!tFmRg}V##%KCJ`C+mGqc=~Uq~|rqT!4O(BCR*>_-e6l ztYox?*aFV#*q384Qm+~K2fLz4TXPLw=`K)kr?LrLV@NR80sqp>5{oFgv_0tgPJ6h* z>V@=HfZEcYAgUi(rI@=socS3;m-XsU>V@r;RdVg4qD!8gYL?crqXJ(k3eH(T6mRX`?PnN=qR;6Oa{^{wPI{?hl2lOBg3&l>O{t5M?nusGR+3)_XA*vuUZE3g*RF=S#sJT%57_s&q zbEgUiqL)s5std03=^9PovygOYABu@YDvlfvFW5<))X8{jbvvZn!73SwtE5^`mUW>ZgMoNAISubW0mrHZW}(P z9|^I!5xcM`WKxs`ACt&QS>ziP(Es=eWHK#C99*Mz;M?E+d`1(R=xEF=fRNMakt52@ z05+8o;wPjMnK*1+XHLUn@|g`y*n+t3CyfDS^p&1#Rc0oN&kKiu#z;iOo9xy$@yT6bG522zLp(LIzfs&`rOLKylt9XCSEkMC z*1>DlEwqJ~X9JKU;W?aNkIRuZnHD`2>!62z(uez-9zTMpa7DXTi|na4(Y&5$^(3)w zoZI}*I8BN9%Xp5iO5HjaGuTdjs_O1Xiw0xPP-Q_nUQ*xx zTbPyir@}I4LLv%$_3}w#bD~0XwU4wWHeOe^8pmh{wcJ&Yl}r>x?TrsM)}dIVua_16 z!1mLo7}#%~p1RjbpXE5t^}e6fe@o5&Tc>c(yG<57>`5QB=qGkXs;^A;M=TRXDtT>k zU2|X0jR(tRB5O>@S~tEW46v;F$59w)!)VldtE|##QeW&ukFl^r99Ty}cwas{!5ryu)FMv9IW&(+{EgC#Vh*_h}3O&IopVs0J9cgh}O6KAB1Exu{Cnml-5VV759 z_^|fj*?pmv33KaoNDgm|`?#%&rx&b;*cl;sMXC=!jM@u2aY|(F{Wh~4^G#iy!HzJCZNyZLwf!muUL68eeUXUrH+Ab) z!o1-%KwZl59|zUMf@KL_dg*vZkC!A4P?*Pe$XQVVx71cT>3eRcY;sNn`D8Wr?G_f85_%owq{MuGg zggHKrt41UpD%Dw`Ww0LZKQ(`3veeK-V^-9U=A8o6dF&^ip%n_rqYY<|y?bZk5szkB zh|WOegW7BtGrL4`8DkUeAQj5%4a@V{ND<1b4QV}V9{gw&roN9Lt=+R~;FhUXX0b=l z`K@=r3&vyTy8`1MkWC~cbK>?n-LEg9Y&(P-34qqUUGu9y09KUl`#smMbs|)6svqu} zXGDsiT(CYE{D`Y2Ua}VKamwTw{<4SjO)`XX|4JF=`vKd1dg^^a*_ud4P%Kmoh(3D7 zti>QG(gNYg{@PyZ`jd?2G@w(9Tz0MZ$n@ySy0X)IEp}(BNiDC{uu;UOw(tk%iN+Od z?GubwZaw8q-{U$s{9xf{*Z?%P9VZ0qsmjpvX80l`IoGn^@Us-6i=UU3C?MW+B1GW#j&pCLZ(Qsy>G_!Q!YV9{U^c%xe@DqUuc?*inC?L)NFXArQQN zY)zpfhpp6*#G3?tJ0vA}Ej$7y!z;knDKmMk$`0tPiq#bvvy;Jh0o$2dD@{N9>r`?Z zucn}5R28;?tSIt1FeidGIv@9 zYX^_B57~9YlHebRZoFt`O&jaoi( zV!miHlwiqzx0W-Z!$iH0h0}ZLmHz061m(1@Q9iF<00^R0-gFx2sC(wdAvxx)QxYxH zaWRa|5|r_JpoK|90L(CsHX@KB4hcs|qpyDa06UsJjR;B_Bwb$RESYEs1Ci1l(K5D0 zmGU7QvCHRI(AJy5v;xjS=A0CL?{l9lg3$4F@GBXwT<0yowbM{Jps#TilF;V5%J-BI zUQ4L-2C1vgvxzq?f|oxw(Dh@@WP1>M;{g@9!MQ_|(XuO;afHEvVr=nthZlI-1~hjo zt7CbZE!+pjN+()TY|~wzAMQQ^NH!~5>Om5oxmQ_vYd4vedtR&WbBK+xrO1&BaSJfb zeR=2-)Y*y`bcJ!lf;QjDzWZ)rqP8@b`ud?8HFTo0DWv6fr=PAZjSih;-bez)`OmE( zHy`GOClz$+BbFaKL^#MXh>-~IGCjU;zEF(KrI6EeGJH6|X8f4ocSy|i=t*QQZF+Xa zL$yrXcPr$|&eAL__NKeA41}aYEV-%pP01c=tB)?pg*PebyLU8w98 z04mCZdt7ls0=5qwmZf$>!4v4cYfeKa7W(s1^;xCppMwecMz-Cd5+FU~rsUL*kP&Sb zb1T3DpxDJXY|G?hA2CztM4W~6iNKPEZJQilxd7(TqU!Va9hMXw7baQBv;-Lsbvmn; zn7(ZEofI8)(-9@Pij8E&i4F6)tT=Ti$+d_Ic|s4)p3ZLi#OG@3SZwg3Yk|fC-vi^`e4wEsZwsnjup%ih7$aIx#p2AR5SF0!V4DSj(ufQFWnA zofIaSUca211xM1Hyb1@o$<6_Ip1bo{^@%Tlk-1_~W9tTS^6D9g`bHo3oNjJ@v&Q+=QW6@#ZuxAxlfoMq6Gp|ACEb4_B4=W7W)2j{9Ft z2RynSU-76nQ*~$)t#cXs!!HTg#W)W2H!|0$%XleJ^UK1ceghtj9%DI;I}NLR!6`Bj z6e@+r^NZbLzA3YhLo;OVs=Upee(@6jp`}cL_pGZv=>y1Wqj>j4E&GNh{(^ybn%fwe znif=jH3Ip8+@_dy96a+sD9tv^fH`*%?Sfc|0Vy(DgQ6IKFO&-ji{ubY&~Y&4y5a{H zYmR)Q?ZjJ~XOGCuOAz~S*Ow*TK3YYKi{vcmF%$e2a1JBvUa1zP&O2yW&WFr;%irUR_0Yaqy{w}tJ?~MmfI_RoWQRdx z7$TpL^`DBp4&4VkZ@Z+j;yx;uwKENUgVxW;hW$SL{-)bOQmjJcv11h@W$wGvp7 zeanLmVfW@9kb(7x=umIWw+h8SpzLzWx*sVy?U?5pb}SX}yA{*E)4LtnC)$lWq^L{F zh+3G&ZOwJ}s2d=24m(CYZ-)l=Liu%JR(+=_h_X){`(nWn9t5}8pRZkAzMskaHL&+Nt}_Xb+Y?XfGiqlXnguu^G)I#u*HhL@cMQt1Xpab)nNQOEghrTI^Q&Toe*F zsnNU?xh!<@IOe+OSZ2uRCF+cw@$5DkqD$^6|3^yOJ&4M;gI^`z4zbEV-(2Bpi@&c^ zzCC8eYEbm#4(ti(pp4n-+vC_vm6<9PB&U_zl0;iz;(2}h9hoy%EkG7$2E0VJMj0Ru zHV>j^!S7i+Tx|Y>X~2!Z!iH_b*m2*{4;FjnVS+G{w)(|C)Tz)Sq%cl2?9tKy7Awv0 zw6-@26ccc{Jt;Ga!YlR^zKe^)wF49cHf>i~Yi~!BpSuTH04a6zHGr3%vj4*$XMoKS zhH7)D9W}c|Br;f+htCF>`h68D@pDU*_Vu`Y9pwPNX{N(fs);OGGHcDo!b%z#@vzZ= ztpfrk+y01P7Y$?lUuD&co?2H*jU~&`2e_R~c#g?usvnnq=;+wq7zXXCmop-Zv zvZC+fNa1{_w$sa;c8R>VJ;rUDnzL4GkR0)*Vuerk>OpOZ*N~AX5iLYp}7CQ}V zh2?p$QA$LM&zvjM=-XoIf_}UuRpMK2Ijt@_I>md;jw-aVzNfqsKsPJ`#&c1b<|$aO zIo%tFX`hA>b-TIMAmQ>=3$|6XiPYt`0eD~ChM93t20`4BF5^UC`Jc|=ySIL1BmHqi zRO$~<)MFwHt(A_~G^wQbTVaHr?`ZNpJ`w@^Ow7=qb!9}(mhtd{x91$zz_qn*gq@*dyL3aRLy$+8Nm&VFA zPHT|4{wmPTZCXQ`$R3QZNkA~w>ouEb15BHP zpjFm#K@-OvnBMksU@D=EJU!uy>99~{b^YgKRCHS=#*ft1FJiB5&IPcgZ%@omHjrsc zC(>uB(D^2NHsQ6YMc*R5pl8QGmEi>H9RcwZ;aL8-;OjNrPbH&pB@abssZa%G zI#`dsDMBlrzceepMN`9o!}yF5;E z-M&E~=juLHxQ{y#m?a`7N)?m{x>6MnX`H39c%>#-oi`+bc(9ENp_57-B7mI!Z)4{r zF+(^&8;=XjGy}Abp5ND7vtzdx_h(xLs~>`Z$#_U^^>}Hi!!Rze*CLGLrwD$&XW-eF z_bGUwtqM0o*3uJ#->lZ)0~`|`=J$wD-iEC^G_mVZgc;BN2&+dPo{X9g$unF%_Cl00 zsGRH=YQ^Z{;HwN}B~(T(a;L9&7BE9b*9;xVJI}mGy^uLXwOY#wB_C}E*h4LcPcxlt z6~V2J#&XQ1iG644%%R8Q33$o`Bxk2~xzuR+wK?2>3(lb5udJ=O+UeL z?ml;3;De&a?dau9+mUE-!gbWkOb+?)84EgOQfY0oV6)8FGf+-?FlN)>5L5_iE)YD>pAAAE#j> zWc^6~(ojYpJZ?c+d6tO!V2W^uT{ldrsm~x>F4UMUXc(A%XIG@>3=7f>Wnn%Jg|+jUh1C(HK|GHH)baTXpbqi_uUmO^eH4uw3dr2iacFC8N58d%QclNvWxFz8 zEC0}BU@tw}10Sp1fJj#?@X;jB|JdFGm{2^*<5^<=ku&Pp2doeq;Ez@r9e{kAOUy_s z=}Llc$%hZ0xBCiU70`jxjt40uoHL|YW;JbX^Dd-!apMJ8`Jc}M`r7d?P7k)5YgY{) z8)1rm)|%~?u4QNG)J`wcBbEIvJKG zTRraZ+8)|Wcc}V|?o-wtc1T}sPx1!t}<&+fOAC_|RfnRa4Ne>e@|GwMqY={Oym zx#*a);uHhTFq>OfU4O2twb41Kqt5jyu)#)BPzz7vP~p$`0^!z_$B+C&9m<;Xcl=Aw zrUYEP?Os{RcRxo4E(2Mpp^ybenEf!-#l~8D;#nhy?Y>}|hq6PHb>gsB-^zv^D@Qe! zMu!owD+TQ$qnB@!a0>BfDKECsElZZS*y5=yTFxGBa@L|r<3vvVcLFAt#v5RAC54_0 z=e{wmv?quZMa%9DD$C-NB+D?1ljagzcgeIuA84G+%H$M=Kb+dNYKrtEOKfRT9d?Z# zxQuF5L+a1NEs#)(Bq2Z1+E7uv&s+n*azx=Wl2}c82rYAZv?(08k zd>7kAmx5^p!|$`Q%`;hBjFcCYn%UqUd$YT?6=d0Fp4GcidU$-cYBptpQImb9s8g0c z*p2mW)O&jfH1;Zf*b@oI@9Q#{jy@iC7%iwL)7tY`>b>l*4Q98W4PK zprPlLn>Na8NeVcXQXLk|P~=48b5x~rfF?r41ol(32G!FfVMLul*Qw@Lb(@kc+pyRN z>a!~$rZi#fert8FCUYfH{SOhF6B5$M!vlQyr;p>9&WD7jMB?<2!gJK~D$gA9)mJJU z=TCgxv$`9wAR+qw;Tt%5TVV5|BD-c!Vv`-HI!imnD$?el%k`jc!TBbU^Kdte_Bkq~ z-i0Ot#f$PE5O%S(AAZV=kZ80OFb>ThYwDLc$fi=mk%! zZy)~Xz=M<`=i#Y*bGTby>)I}A@_@Lyn&q?FpPz^zZ4U_C-3QxgrPW+mecplh^SqY@ zT1F6|*jdw9Y37I9{KoM;*q)Mw_)T>@dbUMxdS`LFisu}v6lAPYrS1DW-ssf}GJ?H< zg+34-#RFw98;5}DvFimK?s^6em+yyR6;N1-(lJ?_uKL7LPCzg9z_Vki+urnykW(M0Hr0K(li$1)8&mI{l|I@o=Xg&+V ze|xuI&sWfcxRVS2ZUz8$ml<<%ay|+NJ3lNZtxal{0{8Qoo>Cm1E;wnmM)KmusAesP zL4lvVMR!q1*Xyh?^{hr(5YogarIM#*-Nei1{uwJgm32>}lt;)L1VEH_2K-U|188e{ z(NXvGNn_5ZMw*iOa37m-P1p>8bO+5*bEue?W}Kw>`w%EGXXB?pozT{}-)4#AQ}QP? zL2%Rrk4{YiaCs{Xxo#7r4txQU?*7h9rWsSaB2im0WGx0Ya8OJVL~)>b3%?fYKL(*L z_kE;4;j6kN7SU^1=I8+MCFfWx5FRWmh~s=`BJwHJH>1*a>0sYAg_b9@A+nqFZCiSj zS-;+X4odV0rX?6Yqo>&?6QkG$92)sj#K#HS9t=8Vq8`>>#sqLgGXaVWnJ z@20aXe^`hOfkV1_?`LC#31!PsDRbgvDKNi>*!e~-zA7Prkod%67ci;2NmdBGaxIv~ z8(W%3M@8+rrW|i4!{I*2>v9WZeLkumK7hW`l!aC4ex@}+-_AxA5n`+#&gO*bXoxq$e(cC=%Fa}W z1lYI)XjMz-_7rUUca3`&Bpi@68(1eZ$IHmDL12ftny~s>PY}<$(kTI=;i)))j4W_` z^(W&0h%_F^STTFMBv7)$M;jcb$D!rON-^;bUuy;*s5X7DD6^pT4l)l|PidkKqPaD9=9VuQQ`2PSAl!0Z{N!>#zXGtkPs^gj<>>ez$cP?uotAUQM2zG(_ zdwc8ZHC$&0yIS6=K&HqM+$3|=KL$z!r8fPOlE2fZG9ZDZJ?z2#acKsKI?_R&Gah2I z&@hhH>%8|!EwpOiZK5E`tq-P$pbC9C z=hO3g5h_l%)Ws~G5oVEfvU|1Itl1h+BtGizpM1CvlJJ)cxGrylBB;-&ToyROD9M^v zMm={bVMOT7xwbnR(f1Eo$8y$Ys_T0Dx^-?6Wl%Rf18$mp%zBTPSE^M5!0Tn_l-gMwuhqG6Hh6mF!W_DAp(udTv4+WQ$uBy~hGv0Meje5f6xars5`q&}3Z3o(J_7-^qGMsJ&WA-nEp&7+#K|x| zXHb?CeTz^2YESmi2}LuZ(JJgp&YG2h!CHWMn4uUGi(#_!gX1{*ai)DJ1e#yEfLzG9 z)$P4qQz_sj3Th9$4NdZMZ)c(M4mOd8d8MXiOffq8B2vp0t8bf!@P7c+Ccb5mh$weT ze^h-Iw%4QgK5_*eUZnW!q)Xb!8q-EM3HnOgLi%t{)%hSwEMe@oR@dUVcY0d*VSY1hh%XQdHuQbeiGOOg#;SAFYumh zP5OiG&yg#dAd<7hCgz-q7F%csaUs^drppBi-zKbb7V^i=f?!Kjp01ZMOvkBa@9`0E z90LClhI1hJ*4PbTUirHt=yOjO*RM!KV`Bfe=jvs|3KF4l-Y|#`O!<&nA$~Rz^-;Xe z`Zj+bWKIIj{GD08tJpinqMDytrsfOF8F0-}Qrlf?$#^`15dxqJJ*C^f`^`)}wPFFIaH*h9Cx&%oOfKuiN#a5!|7WRw)7}-Wu z_cK|iGrwMM!sB3Xwvwlvc}=^EPggBVGmlj0os7D*h!_CXeox=!{wO1lLA4Cs@IuC&bq1TCKI|YyEkbz|{`k>&ce*mb? zB)t#7^0wuMQccj_XqF+DK?Xmp~I4w34!k3^h%r|tACDL!BJ4a;{>+a z277y0;ypn+e&@kW=KT`v6-@AXL=yi1PpN<9+X}g?ES}n1Ir@7B4953MGfzVtzUMW= zPWH`Kjti8qj_3L3A0<B)I}&i(z)~CIhn`!!W# zn3golQ1c?`)Y3O>dr}$p`Q_h3nPpblD$~Q~zSKc?&K{rayD^AqNj*II#d2&TcO2HJ zV+~z%M}P8rV}8LKAsf(ZNu0nllj*_E!I=A%$cNl3SR`;D>YN9oB)*^E4+N)trvAQXMVw| zkEKE5tl6PIBNXJ|f+e!Y=jj4d$`QHjAOCoP z*lg9V+*`gf6Y{FW%m5Y*VkKdeu{WYm)W3Wa3{MUTX?f3lf<}n|$w56`82TwpDawq? z;|IwIp7i8dtNuo|vc!BAzNG2q%ydiri}N~{BWZ@Op8($q4R0;6@A=b>l=mS;7Hbd1A9FVeS`?va>fB7 zMSls?!^v$Vdm`}hVzaZ!KUQy`oCgS4wqw?tOVJl02@c$^uMH?dgfx%89+pdmP|`?4 zP`stdlAa#iSlez-P_%tPQ~ovrzVw-f;)yZWK#H$=D~9*eQI>@rrs9hLsBd87Bop8~ z8Vb-`swLp~1u6r8x*$na-*_iyZ%mrbnX<;}qs?)fWx*}UvYqN|DL3e5WLDWJG=v)~ zu`kcBexk{894i&e`DkFF^SDtK!~2-`hQyl|Suz|Ig;hU4{RNj&MFSlf2B)A&MBv*PMN&uT$SE&t z&4G4#AjA&xTUN4S`=LXbnSF=!Flm~vTRf>M&y4sPf{cAvu4yFMBs$`9S(8DvNLMM~ zFCah9<9HNUXf``C{Uu9B3?^tmym+Kww&R}xuprPBG%zb2=7l&B$TIfcdMXNx;?wvy zz%9B!0Y*l`bHy0M6j$@SH)s0O6vN)vf8Baf!Oh3mY;kmVK0ZG6i(Ri@pB@H{&-2T@ z8ii2eQYVciz!t961@>%OpWTW*DP}H6LiVv%hu;8{r*44Ib&&k#k~4+eroCLzv2-w!0Wb;7PNkjJp*Zf z`h+Yc1Y$!*CsFoNF6GG7dlNJz@@H-i_%BH640tx{V=c>E4B*)Gt=~il8SWinsJB%^ zhr=K?6Hy4m)g*|Gp|`jgIrWDJ;K&6RaiPDTFd1xr{qa%kjLnAN2@NELjL-c#_)D|J zz>f48T&!@#61>l7%v2L4BcwgrWlDhI`dx5ZsMx~Doxe_tAsu}=;AOc2h4zsoQRhg% z8OM4iP>}e3GG)mG1cG(L{dvHWQ-2ZB0pzH3biU2aa;861T95tb$BW#XmQ;duVX1cw=V2?nL0sKEvbLQ%5@2Wda3U0T1wyC9K`Yex1d&32t)7spCB3 zy)tl`8?CF~ue<&ICE24`QIlBKq5zn5YNel|)gZ;6I3bRlL2NAG%^E_QGP(a!{oY_^ z2t`x9Gvd<+H=~r?8UX_ThhYF3w0FHNr@`DI>k4MwXdAgn*3~BF%0j_l;|0z-<@cNEJkW z8pv2Kq&@%AUk@pM8GJeHc!Zh~*U^OhL!tZBuebfR+^;(yy}$va_X!aI4P=(Cqd*M( z?UB_Ca^}+j%rn`u`o#SAlk^^qWY1G!>Zv1#%a~Ih^XFFg>vDfi(Pq$-6TIo{f&q}| zLi3|NcQDsC$bN1x$Z`EEf^GlzRMvk121oCbOtvzYI{4H>(Q5IxRKRrj^O65r3PYdD z6pxmqxN$6mOe=)~Y$P!7{1p;Uj79$%fS7S`nN456ipu|)b{!_a#_jJh$_49C9hUcz za0bGkx85;0dK%JxPWYMvB!>-Z9TX`cc3nLIzpNJgPs2m~A}1xe!g^^9Cu;7{*wf{6xV7h|Nwkquz4}`M*pf3;w^v82G6LENI*llDH)K zJa~`ZM*a6(`18{g65My6wdYwCH<;47Ukfe)>2ovP0DE-Q(JK~^O+NW+JcGyq z8f?gQtlfd-EjTOqf}s6(F^L}L&!9Oct>ybW0dM|i@yexI9F4Pe=Q-oQ3_qqvgOUuSZMUG`LeAh`}oNBW4WzTvTr+1Iy{kiMAx+rW-lVy%waByqxRTzbYvHdTVf) z_J&buTNVOeWUz+JwktIh&d}TJ3TxcyXF8}9%a}{bOX9qRaU7d7+{I7j*f$yV@ zODJi#=LR1SPidST#iL_)2D91(3NK>MTCcrKq6w;Jn5&)DUL3r=I}j%Hzs~$y(D0)H zrqv2^0{stu(97W*ft+v;#RY(LjebPSo*fLPjBx0KB^tE$8GRtS0aNMMWr7STA0LVg z%(TT@gT^_-yzPm-L$zs=T9n0UO5&zzv|6O1E+k~-f1UByx%bq;z`;#J`$1W7TBO&r zm3I)EXQ|?+$f_P6Ru33IXY;5cYucy!E z{U_gB5?4F#Q;y$EV9Si56fv@kPcEX>sXe=K=Tr56wTTE(@A9T*)*V)iWo<9qr$ipN zqWgQiv?>GZk$3#}+T$n=@7X?r9iBA15-Znm;RbgM4iYP?BWm@p0*_y^`PZ9*nj$I6 z7hnlo{bphGOO?xUsZsdTXAK%xdA+E-piVVjWpIX1kgp{D5{l!|R|c2!zh<*3&Cvv7 z(YsL~JIn9fQ?q!rwN=fbzQfL8qROe&KVWM-Z|oBZa;#>itL z0Yx%Q$s0T`a#p}_2^FL(U;VrCOT*;ZlGmd@p}+G{#dqBbi+-uo|9IwK2jmWpEI4Gr{ibA~Tf%so zgusAN{B`snH~i-TIT9G${!YPhJb2qx?yA=-(U3XS;MwATe)T_HEk^W6`8~eg^8~O5 z^whV=p9tJI`JbfwyUT8$0b-D?^&1C^sU~_&6((n$FDd`-mjC{@UQjr1L)za!H~|+yrk-#90F(z__R{zr`0^jF>&*>JAE#%x`9&2V zLi~AbZz0z^|C7jmcZvVYKKlPwnEzwFwiJ(0155Se6D=?qj{W5F_N4Wq;RuLLxEJNOWI(ob(k;uWhf3}!a%xm=x%XcP zASj8&W+Z3CpD=&TlOE*j_+0PtSO;Ijc2|6jIwzzrLWNl_{e2A3?#Z z8!~S4HzvY=T=C-kTDrQABU@TWr0>ptd_wqAzIz;`e+>Qjz@|lBU@CMS_P#r=>8ou&U{f{LQ3Y`UTD3?J&?+Ds2X$aT2w}+5 zA|iWl0*E421hfdUK@kE8%fVg>Dgp{>2*_SSAZ)@4^LKxr=V{uvu}^(JzxU7dufws% zaDC6Y&wbzDb6wXx^PS?zXW3$B1A^X0h^y7e%I^E${N7J_RaG0FIqa61Dk=-qligny ztO00FeD_FoXL}IoiDR0$-icL*#rt>g{g;jNm#^!H-?_?H+M@o=nKQR2M!v;6baK?a zMgLPr50s3bkQ5^D8s%R(NPR(aTXp1*bo?I!_-8-A6rx>gYVrAA4d14lj(Vl*69U8_ zgRrku%5aN+8)W{W8$(G=JvHcJZ_iFc{`s5lG(cBZSEp-w=(pCW{TRsaW-k4?1d5bm z;qGv!YgMK0+H0L1UTrjZa;d7i;9TvkfBd3Ki)0+=tH0J@8#ZC04vD*Is4;-XywX1sAy%=D1uvgkO<|*wV*!=ye|ae|FNE~ z?%>-Q7=GS8mSFDW49UEpr>dYGaRvv?% zyk5{|@ohu51orD)0Fs!Fme$7$m7i7qHue9@A4Gi*netY;q2d~Nb0=7^zihCcwGn6pN32gHr9a_i&m1xPhxX3qjqZqB%ax}6*d7Q!b(ui`PYIL zkThz`MYuTAphB_z@Rf6KeFE|)TAk`#OdZ->8ufva;uxZ0x(u)9n?XJ2GO66?hY6Wv!chKd>gdMX^}NPWhqiYq-b*54J6(#MoMb`?vE0;EsCL!G)q6 z%a*Xk?$D$qP^OHT8lZ~wW!6N9Kke@RC2trcoDK)fYgq_;k6lHWVhwtxYjrK2IP|=} z%eX_{kmfZtQv~2pSy(Z#jE4`)H%l51@kTh&Yh4C4Ks!NOJ+1-a0v5OoH`C&d^Hf&~ z`?ltSHrzIPeaR!O)lYMm;9{M0fMc&7bO4f*lkfI;$ux=XDX#i4CNlnkJEAu5)I5RM zFj6vOEDuV{-7Zf-S>Q#j{HQ|SB3Q;h-gW%O%VEk|Aog|qi*5==9+kr}*-rI83oZk3 zJg*_cz<}BJ&S=$n+6n#}5lOzAb7JBJq}sB|=*r6rRG;NVH@9VQ#!8~tGvvnqcv1e} z!}(6ptKQWY_qtR#pE(U3+B1gE>N-0Uj1{)qJiCjFS7-uZN3$0A-sJB=!%t!wzV0W} zP{qrLx^<3Cm5*ljM_mDgpfjA2*G}G?9;BpR86s!{YLf9K>2JbD#>^yCZbUbTo%3oIsX zS2_Gr70o$T^zvWF)#pG1F<&Kpj-1Bm9j_EN$tV(*#O0L2h4R8NO6Dt>IDF4R^V%J5 zwFp~x>`{l%V!=D> z&+DKy2`GXW&=zb!*!xs{+Z0Xdai&OD$cxv=MJ|E>Siuo(p8N6SxMV#x;y)*u-^r_M z!=!2`XFOK)4Di3_l5uMraX;aGJzw9=W?0FWz!E5S%?GlHbHH1WN~N~D_pFr>^n951 zzL%1c)-XRaIvQcR_=z~v)&{~$hm28<3$x=XJ9||Hj6VBE%GJW(=_$`ZEPtkkny7+^ zc6tu5C-okp`hnGVX@0bxFH}lb)})nty_ev-;Om z8WT4-K2*tGPb5e0|H1`^FE$8vN+Ad)yV57s|9wAZ^0Yp(R6+g6jhaHiT!E{u6#ZFp z@MH2da`%I!>tbhhT0B_y1BHD)sUPY3M&Kdd?{ThZb>636)*v)n1|Mn>yk5*i;@uxk zjkL9llr1mm-4C;GYq2Y{0h!g9;b&BJX}BkMotUFJljWC=jkUx$C=)GA=nweR@*2O`+3o#So}ZJcAoeb?R~hkMaXS z-uc=P5LB{(z4Q)!xyMCY^^>j%k;b=W_+zr#TU&TU&k#~L+BU0r;!I=Z%0MYvQHro%Tq>%XY?@r7R3or?(gW|5gY)lZ_H z?Ytq&l!*$Gj8_fXTrf~3)#j4VdT#`Da5Ura+JclHN8dj!Tq|L_+12}u=8a;i-w(t zje$O;MtI?TZLM_n>98LQ>`BvJAWdf7kglKk6Q#5huD$uJIFXrHWMB!kt~m zEv*}$dMu1r7EO&7Gu4BK&p#m2Qc;X8vsb@>$6pRC!2d16T5WTBM4traliU10zot^6S6(_@C0y0u z*_Ez%QGx+sb_$MlX`E)3WfG8Y<0((bu;TsThH%34U{+al%ELw{p*C;SVNaq_DVP`q zZJYn2@UVOJDsMjtf25%ZgoiPl;_ z%jSuU+~#WSgW6phxOW)?uch|7IaBKqN%lPX`?cW1_Puu3G2Ee2c->L(4#>AU*D0rd z9u;0RqMahTAMiB5cC7Z(u^909ke}vn1qYGoMoTOUgqE5idR;mmxXy*BT`&b20XR97 zocq`XP?fK-4it3F9`C6%(A2yu9}+JH(UvMT3876q(ASVSMYEk_L1b>#4mcd%w;~bo z9yuFsnbZPg@iu10)Z>&pjdRR8WfNg-lnZ9zi*bwd0M^>{=G6`zOSe;_bMRU6f@LE$5=Ky6`1Xe~xuEFi%6L9%? z0J*MOFq+^!aXL7$KU8_?N_2=Z?rIqr*A+_x&g_%PoNeqnE^@bD`MLDucX1p}ej1crvbepGlw#CZn?htHwqSCw|AUK8Du zstmUiMnY4ROh7JcO&j)8+E~W^dhKy7p7(%68!>dr0dnILyubOhfCN@IHl-a7@=PoR zC~E`P9=f%;+>e9Tavx%LcL@8;UKIGYVbP+{1?}fjwWuioo@5$i_P#{_orJf2kihe}pTqjt8Np*joDo zyhl)2Y4JTQO%3?80q|72rB6%H>1E`iK0;eQ{HL6gp+YqE z(G`hgAMyt4;s|R9PrkSnS=l7=3(K?Ji1Z~G+-6X)6u?-{52HbDOQo_%l@rQ-m~G4yicOk9oPj}?NpRezUbMsbIDkH%Vvjw zA!FY~7ch)^SKem1AJMtV%#z+$Pa2h5I&YQ1KR^*}uY+=`f)y(Te4A}5nW z((EbNOOVQFrJYH%oG1d#!J+G$)PL13)TU`j5qN3ilWC|2BZL{(;01(JUq6+;y3~h9m7IMa;%$!-yAUYbofL zC9R);WBo*Yg#|T5e|~z{NI)31cBauO4N+Gy$i8sZAi^j=O`{lmQ2|WIWAHK|RE3V-JwCQ^`jlR%F=9xs{CqwoJvSg5J)Yv@nVYVt>|<u z&P$Qf#iL)1-D7;6w@WT^{C^Y&E|8s47P5hhr&0;9BRpA_iGK^FgjlJ_fGNbmP z7&KWSpF-@JTi)E=ZDpu?JUvp;D_69iLO;cCSTQ3&T)4C%(eWJmBTy0w zP!1s1_Cr@szv+bFSHgH900{v)hKgzf$Xz`M3J0Eu(om@>6kR_&HI{P5;>g);vR7^g2q}7gf~PT@+X@ApEyj&_lOHw3uf?Ap zZiB@K&fhUl$0XV`KXc%D_j`r1MOQzkTGs>;fT*8k&~A0I^w@q{jt>}R-X1Py)*_U# z79jE4f#p)VpyQiewvceoMWw|0jug;`fM}ZOuwQX|p$z(v)LQTK?8kx4zk><_qCu=}>s}ND)`9NWXd|leT zbHiRF?@l%7wAu!_LCW`ech<*2+I<$SGG*9rNWPU1DgybHFLkfC!u}Wr2?K}ly*Wn- zLWJRit=$BOK{s>KMf*VWpsdI~5i0{^(FPYaDHLNxOfw5Az(WD+tgJ9{8qT9f<2(Y8kT z_<2l}nVH#0Q6?==r=qeAV(3s(sFEW=6*^DdWOs5jeUpa5MMbY^XQLj-+FOZ3k1Jc1 zFor@P^#Dhq3_e^B{p%FHe2wHYc&KgY6a0L*T+!zjsu6_-^yDM5W=cZS0+s-APGLn8---*C9pYD?Az~&;tgjdT02&%h~T0xfs>_! zJHFfucQmuJ2g(-;VKZ(oihST_A0s^GTYdh(`QSrkMA40et+w z4#9ct?xIzL=(SK<)9wtz(PLr-Eg zSVAW;>#5>@%64a(DdLBbU(_E7`fU+K%MeTs*p|6(2PJUzJYV-B>~D-EAMdC&<42YgjPCZH9qXEgPLeA5*EuJ$ z|9~IQ3d2vXkj~r6xf0&*kataowr9@k$D1(CXbIb5&m1(%h-fRA_zUU@Azw8{DNjF2u;X5$et zh3#2syy@i?Kha83KJrN~g1~E^tL7&rWFq#BiSy$ZFW~Ha;rBOipJQp)9yR$>gPr5N z`cnmQ6?@h2?ZtzxQJWy*$`1O=;UVJcxT2gPbD&`j8AblrKG=ZhvLj7Q88RX{Tv7%$ zcBaiO!6y5~x6>dtU3lRa=p7rWYM`Zw%&XeyJxDud9vJmDplswElQSIaR6A~D>cg0u zX|Yq5X)ECkDr}dAerEq*MP!#~XGI*J5MdS66Y!xXRObok#$(*la(ArrW5i_$ExEylVc0v^ z#57D)w6rmfAeYlx;^j72pB83te;*2~hO06*0C$P|qMu?wKZcrPB{zL3nw(_$cC>I% zqS2@)(OmPWmako*Bw-h!1=_f0`PEzU>_$tOU)?QsK~PQhxj&?-i!9u5)3WQl1+(3! ze?*bb+{PR$o&2bllGbbo_P#Q`Q&2ZsL!(V&?IxVBlGpUmDYKW`1S7KaAlE~BhsIze zdP;zhsQpGlPK8c6T?*;8#3g~IT~%n4Ma?$CyK!h%kBf?uR92OO++)8<$h zid;f`oV&Ot>TrXS=Vj;OgQlm_JLXKF|y}x%l++ip1tw zL{Rmy)&<>Rh+9t&)hSRB)&Ktm)E)@bdwty|(-8xbIm{E^vsa;U@)F~RJ&=kGZcf48 z0~@#i%8s;{2JH^AP?|+H92!U;je58TvuZAln)ITtF2OFk(4g|1e9!GeKM*z(Zcac6 zewg4|@2IM(dI>Y-j(>SlSh>MXnJ^0ym&4_;Ac`gB!jft<>{%yeR?VlYc(}nKN4-l0 zXOv~pLgRY^FM|}@9MgqCD={bGSZpbyA1z>bp;=Og$)jIp10{g#2UUTBti|~mx0zjP z0Vk3wau|;=@rXY%E>4an-E?V_%rrwdYhdfx3@JvRck}OB0E`FZAGg^;2h6cjb4m*x z*puVVb8b`ZhisFo z=DSP?;z!XujqFC-OLotT?v%6dRFNNe6t>DA^Xpd@Ye9Va(#Q3)vm^B`m|eU`+E=ZnRo$W)R%~|s zx5l-ukNCuruAlf>^ycA>0rUciy5$jQxU=F9b(mjvh^{L;LT_zcEU7C{o{?%~w2b;H z3dN6l)8*$k_uzGkz)Ck%wCSCJMS`#5d{bS!f2TpmTtg3Zhz(GS4SA(5#eGs)vdd`( z?(?m5r96$Kg%|66?6X*s(4gwU*?CeUzB8Y#bt`qMc?fL_x&!FV3qnt!QU5aL5p%NI z7uVJ#D^ ztyu%1mEg*v{KD;hg96O}Y;gKK!y;2$QeI;}}D?bRv9Bg1aZH zg{o2De7m-+Pn=3$9oZvoche`iF&vXt>JqO5*;U@irpxr3BogV3 zI%{HUo%`#OpGfN$z&TU_>_RmR9VF`nltpAZDgu=kx_TairSCwE;bW9s!hz(jP@l=9 zL7&aD9UZqT4B96mdXgoH1HHo2USLA_yY=ng4X&>FCbLqg0o`$9y`l;)CUO0Sp=*mZ z#u|abY;YyPAAf40o}}a=oe)}w$I>mrNsad=mB0vfG)z)*F7F+63tfD`F2CzW z&-bD3FUQ9MmAw--$h|5uR~*!@T!?F&kSkGT@nOIZvMgRzY2t3^kijj)s#YoGk%x&f z9#sNqeyC_wO5=h7J)@0uMPB3A*z(JsU|;R4MG?2&)4)hIfl1s^|g zkBDI?>~b|`GUG`_#sgDeZ|(=P~~*XnYpJ5o{FfB z@qmk`XRn2l#`?wij%A{jFkxyduj{X=&Kb*Q+Ki6gFDk{<+kXik3lSJl4DaxNxBcUmWRZ?ck)& z0CQd#T*Bt9SZnQ<%b5fo73aVf23H7f8s zpNV8%ul7)5Qt|4_5E({VZou20`3X8aE6I878jo##f}m)y0DoWEwxBoS&{L1!`W6)F zL1DUc^6Kag)>gzszRjP$#k+Hb@R9bZOg9_r%gm>-<@Dk{`V`>G8XAoaE&04xQnnNp zPUiB0hj9Yyt@(7-LwvVjAWQb$U?m)+;|~Q&uK4=Sm9dKGqq6+BHH4Ly2SEpCfoL_) zY93e}Q#SibGNiF|I;WDFur%4@2CGo9^zG2-y?9b9t8}KsF5wri=5Z*9HG-H6-b{B$ex@Ec~9=+Ha-CVIxZgz0CbxM0!|*<`Bd0M21V z&1CLlY1@30h+(gcsr;)Vk0-tNBuVy1?A9p1Dq*>lF7f@8FjGt)){Pc9SKIPL`A(Lk zch?$$QXEUwmwxXg2iJtCnO@*AMA5Y8lFdvC14!BPy3744s5^pc7 z+~VQb2hW(L*RQzjrrzWlza*<6LTv33%Iop)986ZbAL3CnBT6(jUQ*~qj9f?R%&J51 zcVb1}#7k-}!ES06$%+4oIfz)DdqWg0?(=8#HnA4(-KKXaET@PbFoAXKNPkOu@3}Mu z!S7-RgE)Pt#Amib*tW}6iT*Gv>GQ7jvhy7as!X~^9EQjo>|LG*$Z|Az;zr%hkeDZ^0>z!^%1!ZO*WVe{EWg{N z3qi6&NW;5(Q{H!Ss!i0ESQE9SQlHwP9(=-Fy;t~w(ZR-o1t#ePq6;SkTKv>r;ZlvV z1d&YjD#u$7>pW_mrqkk>+6~iFIax#-UmfN*b=oO$32h22C)bOH&5bj#8hc!_yxLwP zcP~a~KKh8ue$CqRTBGpEQ*UPT*xfyesA%W6mOO!^ludhJS^i^0Qt^9^>A$Fdo%n6n6PKK;IN_K9B{$m z#DqP=1&0j<=YR_iCnoF}E;wu`I0syCI5A<*aKT|i!8zc9!-)xdh6@fG3eEu+98OHw zGhA@kP;d^o;BaEXp5cPShJtgz1&0$8_6!#sHWZu#E;yW+uxGg7u%X}_aKYikggwIr zhYbbifC~;MChQq5IBY052V8JCF=5Ye!C^zeIpBiBi3xj#3l19!&H)!3PE6P{TyWS> za1OZOaALxq;ex}4f^+bH2+nf;$0sP%X4dHwN42>eIyTh*hX`{~<)X?);J*yGOO6W; zmqNv*P;n_#TnZJJLdAI&aL-3hOxQDAaM)0A4!GcOV#1!`g2RS_bHD|M6BG6f7aTSe zoC7X6oS3j@{;$BH`!?qs--JSK`PP5l&Zr;teU`@k$lcm|sjD}BF^6P-f!_z6=%H-B zi>tTzNeJfc?;O7*cl0Y1s1TW{Vn4x%ANKRCc%R%8fmVn=D{|_q6QI!UHyOVMEj08FL{C6x=ASb O@3gA=iOgdc{Qn=F_*GQ^ diff --git a/demos/streaming_asr_server/web/readme.md b/demos/streaming_asr_server/web/readme.md index 8310a2571..bef421711 100644 --- a/demos/streaming_asr_server/web/readme.md +++ b/demos/streaming_asr_server/web/readme.md @@ -1,18 +1,20 @@ # paddlespeech serving 网页Demo -- 感谢[wenet](https://github.com/wenet-e2e/wenet)团队的前端demo代码. +![图片](./paddle_web_demo.png) +step1: 开启流式语音识别服务器端 -## 使用方法 -### 1. 在本地电脑启动网页服务 - ``` - python app.py +``` +# 开启流式语音识别服务 +cd PaddleSpeech/demos/streaming_asr_server +paddlespeech_server start --config_file conf/ws_conformer_wenetspeech_application_faster.yaml +``` - ``` +step2: 谷歌游览器打开 `web`目录下`index.html` -### 2. 本地电脑浏览器 +step3: 点击`连接`，验证WebSocket是否成功连接 + +step4：点击开始录音(弹窗询问，允许录音) -在浏览器中输入127.0.0.1:19999 即可看到相关网页Demo。 -![图片](./paddle_web_demo.png) diff --git a/demos/streaming_asr_server/web/static/css/font-awesome.min.css b/demos/streaming_asr_server/web/static/css/font-awesome.min.css deleted file mode 100644 index 540440ce8..000000000 --- a/demos/streaming_asr_server/web/static/css/font-awesome.min.css +++ /dev/null @@ -1,4 +0,0 @@ -/*! - * Font Awesome 4.7.0 by @davegandy - http://fontawesome.io - @fontawesome - * License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License) - */@font-face{font-family:'FontAwesome';src:url('../fonts/fontawesome-webfont.eot?v=4.7.0');src:url('../fonts/fontawesome-webfont.eot?#iefix&v=4.7.0') format('embedded-opentype'),url('../fonts/fontawesome-webfont.woff2?v=4.7.0') format('woff2'),url('../fonts/fontawesome-webfont.woff?v=4.7.0') format('woff'),url('../fonts/fontawesome-webfont.ttf?v=4.7.0') format('truetype'),url('../fonts/fontawesome-webfont.svg?v=4.7.0#fontawesomeregular') format('svg');font-weight:normal;font-style:normal}.fa{display:inline-block;font:normal normal normal 14px/1 FontAwesome;font-size:inherit;text-rendering:auto;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale}.fa-lg{font-size:1.33333333em;line-height:.75em;vertical-align:-15%}.fa-2x{font-size:2em}.fa-3x{font-size:3em}.fa-4x{font-size:4em}.fa-5x{font-size:5em}.fa-fw{width:1.28571429em;text-align:center}.fa-ul{padding-left:0;margin-left:2.14285714em;list-style-type:none}.fa-ul>li{position:relative}.fa-li{position:absolute;left:-2.14285714em;width:2.14285714em;top:.14285714em;text-align:center}.fa-li.fa-lg{left:-1.85714286em}.fa-border{padding:.2em .25em .15em;border:solid .08em #eee;border-radius:.1em}.fa-pull-left{float:left}.fa-pull-right{float:right}.fa.fa-pull-left{margin-right:.3em}.fa.fa-pull-right{margin-left:.3em}.pull-right{float:right}.pull-left{float:left}.fa.pull-left{margin-right:.3em}.fa.pull-right{margin-left:.3em}.fa-spin{-webkit-animation:fa-spin 2s infinite linear;animation:fa-spin 2s infinite linear}.fa-pulse{-webkit-animation:fa-spin 1s infinite steps(8);animation:fa-spin 1s infinite steps(8)}@-webkit-keyframes fa-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0deg)}100%{-webkit-transform:rotate(359deg);transform:rotate(359deg)}}@keyframes fa-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0deg)}100%{-webkit-transform:rotate(359deg);transform:rotate(359deg)}}.fa-rotate-90{-ms-filter:"progid:DXImageTransform.Microsoft.BasicImage(rotation=1)";-webkit-transform:rotate(90deg);-ms-transform:rotate(90deg);transform:rotate(90deg)}.fa-rotate-180{-ms-filter:"progid:DXImageTransform.Microsoft.BasicImage(rotation=2)";-webkit-transform:rotate(180deg);-ms-transform:rotate(180deg);transform:rotate(180deg)}.fa-rotate-270{-ms-filter:"progid:DXImageTransform.Microsoft.BasicImage(rotation=3)";-webkit-transform:rotate(270deg);-ms-transform:rotate(270deg);transform:rotate(270deg)}.fa-flip-horizontal{-ms-filter:"progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1)";-webkit-transform:scale(-1, 1);-ms-transform:scale(-1, 1);transform:scale(-1, 1)}.fa-flip-vertical{-ms-filter:"progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1)";-webkit-transform:scale(1, -1);-ms-transform:scale(1, -1);transform:scale(1, -1)}:root .fa-rotate-90,:root .fa-rotate-180,:root .fa-rotate-270,:root .fa-flip-horizontal,:root .fa-flip-vertical{filter:none}.fa-stack{position:relative;display:inline-block;width:2em;height:2em;line-height:2em;vertical-align:middle}.fa-stack-1x,.fa-stack-2x{position:absolute;left:0;width:100%;text-align:center}.fa-stack-1x{line-height:inherit}.fa-stack-2x{font-size:2em}.fa-inverse{color:#fff}.fa-glass:before{content:"\f000"}.fa-music:before{content:"\f001"}.fa-search:before{content:"\f002"}.fa-envelope-o:before{content:"\f003"}.fa-heart:before{content:"\f004"}.fa-star:before{content:"\f005"}.fa-star-o:before{content:"\f006"}.fa-user:before{content:"\f007"}.fa-film:before{content:"\f008"}.fa-th-large:before{content:"\f009"}.fa-th:before{content:"\f00a"}.fa-th-list:before{content:"\f00b"}.fa-check:before{content:"\f00c"}.fa-remove:before,.fa-close:before,.fa-times:before{content:"\f00d"}.fa-search-plus:before{content:"\f00e"}.fa-search-minus:before{content:"\f010"}.fa-power-off:before{content:"\f011"}.fa-signal:before{content:"\f012"}.fa-gear:before,.fa-cog:before{content:"\f013"}.fa-trash-o:before{content:"\f014"}.fa-home:before{content:"\f015"}.fa-file-o:before{content:"\f016"}.fa-clock-o:before{content:"\f017"}.fa-road:before{content:"\f018"}.fa-download:before{content:"\f019"}.fa-arrow-circle-o-down:before{content:"\f01a"}.fa-arrow-circle-o-up:before{content:"\f01b"}.fa-inbox:before{content:"\f01c"}.fa-play-circle-o:before{content:"\f01d"}.fa-rotate-right:before,.fa-repeat:before{content:"\f01e"}.fa-refresh:before{content:"\f021"}.fa-list-alt:before{content:"\f022"}.fa-lock:before{content:"\f023"}.fa-flag:before{content:"\f024"}.fa-headphones:before{content:"\f025"}.fa-volume-off:before{content:"\f026"}.fa-volume-down:before{content:"\f027"}.fa-volume-up:before{content:"\f028"}.fa-qrcode:before{content:"\f029"}.fa-barcode:before{content:"\f02a"}.fa-tag:before{content:"\f02b"}.fa-tags:before{content:"\f02c"}.fa-book:before{content:"\f02d"}.fa-bookmark:before{content:"\f02e"}.fa-print:before{content:"\f02f"}.fa-camera:before{content:"\f030"}.fa-font:before{content:"\f031"}.fa-bold:before{content:"\f032"}.fa-italic:before{content:"\f033"}.fa-text-height:before{content:"\f034"}.fa-text-width:before{content:"\f035"}.fa-align-left:before{content:"\f036"}.fa-align-center:before{content:"\f037"}.fa-align-right:before{content:"\f038"}.fa-align-justify:before{content:"\f039"}.fa-list:before{content:"\f03a"}.fa-dedent:before,.fa-outdent:before{content:"\f03b"}.fa-indent:before{content:"\f03c"}.fa-video-camera:before{content:"\f03d"}.fa-photo:before,.fa-image:before,.fa-picture-o:before{content:"\f03e"}.fa-pencil:before{content:"\f040"}.fa-map-marker:before{content:"\f041"}.fa-adjust:before{content:"\f042"}.fa-tint:before{content:"\f043"}.fa-edit:before,.fa-pencil-square-o:before{content:"\f044"}.fa-share-square-o:before{content:"\f045"}.fa-check-square-o:before{content:"\f046"}.fa-arrows:before{content:"\f047"}.fa-step-backward:before{content:"\f048"}.fa-fast-backward:before{content:"\f049"}.fa-backward:before{content:"\f04a"}.fa-play:before{content:"\f04b"}.fa-pause:before{content:"\f04c"}.fa-stop:before{content:"\f04d"}.fa-forward:before{content:"\f04e"}.fa-fast-forward:before{content:"\f050"}.fa-step-forward:before{content:"\f051"}.fa-eject:before{content:"\f052"}.fa-chevron-left:before{content:"\f053"}.fa-chevron-right:before{content:"\f054"}.fa-plus-circle:before{content:"\f055"}.fa-minus-circle:before{content:"\f056"}.fa-times-circle:before{content:"\f057"}.fa-check-circle:before{content:"\f058"}.fa-question-circle:before{content:"\f059"}.fa-info-circle:before{content:"\f05a"}.fa-crosshairs:before{content:"\f05b"}.fa-times-circle-o:before{content:"\f05c"}.fa-check-circle-o:before{content:"\f05d"}.fa-ban:before{content:"\f05e"}.fa-arrow-left:before{content:"\f060"}.fa-arrow-right:before{content:"\f061"}.fa-arrow-up:before{content:"\f062"}.fa-arrow-down:before{content:"\f063"}.fa-mail-forward:before,.fa-share:before{content:"\f064"}.fa-expand:before{content:"\f065"}.fa-compress:before{content:"\f066"}.fa-plus:before{content:"\f067"}.fa-minus:before{content:"\f068"}.fa-asterisk:before{content:"\f069"}.fa-exclamation-circle:before{content:"\f06a"}.fa-gift:before{content:"\f06b"}.fa-leaf:before{content:"\f06c"}.fa-fire:before{content:"\f06d"}.fa-eye:before{content:"\f06e"}.fa-eye-slash:before{content:"\f070"}.fa-warning:before,.fa-exclamation-triangle:before{content:"\f071"}.fa-plane:before{content:"\f072"}.fa-calendar:before{content:"\f073"}.fa-random:before{content:"\f074"}.fa-comment:before{content:"\f075"}.fa-magnet:before{content:"\f076"}.fa-chevron-up:before{content:"\f077"}.fa-chevron-down:before{content:"\f078"}.fa-retweet:before{content:"\f079"}.fa-shopping-cart:before{content:"\f07a"}.fa-folder:before{content:"\f07b"}.fa-folder-open:before{content:"\f07c"}.fa-arrows-v:before{content:"\f07d"}.fa-arrows-h:before{content:"\f07e"}.fa-bar-chart-o:before,.fa-bar-chart:before{content:"\f080"}.fa-twitter-square:before{content:"\f081"}.fa-facebook-square:before{content:"\f082"}.fa-camera-retro:before{content:"\f083"}.fa-key:before{content:"\f084"}.fa-gears:before,.fa-cogs:before{content:"\f085"}.fa-comments:before{content:"\f086"}.fa-thumbs-o-up:before{content:"\f087"}.fa-thumbs-o-down:before{content:"\f088"}.fa-star-half:before{content:"\f089"}.fa-heart-o:before{content:"\f08a"}.fa-sign-out:before{content:"\f08b"}.fa-linkedin-square:before{content:"\f08c"}.fa-thumb-tack:before{content:"\f08d"}.fa-external-link:before{content:"\f08e"}.fa-sign-in:before{content:"\f090"}.fa-trophy:before{content:"\f091"}.fa-github-square:before{content:"\f092"}.fa-upload:before{content:"\f093"}.fa-lemon-o:before{content:"\f094"}.fa-phone:before{content:"\f095"}.fa-square-o:before{content:"\f096"}.fa-bookmark-o:before{content:"\f097"}.fa-phone-square:before{content:"\f098"}.fa-twitter:before{content:"\f099"}.fa-facebook-f:before,.fa-facebook:before{content:"\f09a"}.fa-github:before{content:"\f09b"}.fa-unlock:before{content:"\f09c"}.fa-credit-card:before{content:"\f09d"}.fa-feed:before,.fa-rss:before{content:"\f09e"}.fa-hdd-o:before{content:"\f0a0"}.fa-bullhorn:before{content:"\f0a1"}.fa-bell:before{content:"\f0f3"}.fa-certificate:before{content:"\f0a3"}.fa-hand-o-right:before{content:"\f0a4"}.fa-hand-o-left:before{content:"\f0a5"}.fa-hand-o-up:before{content:"\f0a6"}.fa-hand-o-down:before{content:"\f0a7"}.fa-arrow-circle-left:before{content:"\f0a8"}.fa-arrow-circle-right:before{content:"\f0a9"}.fa-arrow-circle-up:before{content:"\f0aa"}.fa-arrow-circle-down:before{content:"\f0ab"}.fa-globe:before{content:"\f0ac"}.fa-wrench:before{content:"\f0ad"}.fa-tasks:before{content:"\f0ae"}.fa-filter:before{content:"\f0b0"}.fa-briefcase:before{content:"\f0b1"}.fa-arrows-alt:before{content:"\f0b2"}.fa-group:before,.fa-users:before{content:"\f0c0"}.fa-chain:before,.fa-link:before{content:"\f0c1"}.fa-cloud:before{content:"\f0c2"}.fa-flask:before{content:"\f0c3"}.fa-cut:before,.fa-scissors:before{content:"\f0c4"}.fa-copy:before,.fa-files-o:before{content:"\f0c5"}.fa-paperclip:before{content:"\f0c6"}.fa-save:before,.fa-floppy-o:before{content:"\f0c7"}.fa-square:before{content:"\f0c8"}.fa-navicon:before,.fa-reorder:before,.fa-bars:before{content:"\f0c9"}.fa-list-ul:before{content:"\f0ca"}.fa-list-ol:before{content:"\f0cb"}.fa-strikethrough:before{content:"\f0cc"}.fa-underline:before{content:"\f0cd"}.fa-table:before{content:"\f0ce"}.fa-magic:before{content:"\f0d0"}.fa-truck:before{content:"\f0d1"}.fa-pinterest:before{content:"\f0d2"}.fa-pinterest-square:before{content:"\f0d3"}.fa-google-plus-square:before{content:"\f0d4"}.fa-google-plus:before{content:"\f0d5"}.fa-money:before{content:"\f0d6"}.fa-caret-down:before{content:"\f0d7"}.fa-caret-up:before{content:"\f0d8"}.fa-caret-left:before{content:"\f0d9"}.fa-caret-right:before{content:"\f0da"}.fa-columns:before{content:"\f0db"}.fa-unsorted:before,.fa-sort:before{content:"\f0dc"}.fa-sort-down:before,.fa-sort-desc:before{content:"\f0dd"}.fa-sort-up:before,.fa-sort-asc:before{content:"\f0de"}.fa-envelope:before{content:"\f0e0"}.fa-linkedin:before{content:"\f0e1"}.fa-rotate-left:before,.fa-undo:before{content:"\f0e2"}.fa-legal:before,.fa-gavel:before{content:"\f0e3"}.fa-dashboard:before,.fa-tachometer:before{content:"\f0e4"}.fa-comment-o:before{content:"\f0e5"}.fa-comments-o:before{content:"\f0e6"}.fa-flash:before,.fa-bolt:before{content:"\f0e7"}.fa-sitemap:before{content:"\f0e8"}.fa-umbrella:before{content:"\f0e9"}.fa-paste:before,.fa-clipboard:before{content:"\f0ea"}.fa-lightbulb-o:before{content:"\f0eb"}.fa-exchange:before{content:"\f0ec"}.fa-cloud-download:before{content:"\f0ed"}.fa-cloud-upload:before{content:"\f0ee"}.fa-user-md:before{content:"\f0f0"}.fa-stethoscope:before{content:"\f0f1"}.fa-suitcase:before{content:"\f0f2"}.fa-bell-o:before{content:"\f0a2"}.fa-coffee:before{content:"\f0f4"}.fa-cutlery:before{content:"\f0f5"}.fa-file-text-o:before{content:"\f0f6"}.fa-building-o:before{content:"\f0f7"}.fa-hospital-o:before{content:"\f0f8"}.fa-ambulance:before{content:"\f0f9"}.fa-medkit:before{content:"\f0fa"}.fa-fighter-jet:before{content:"\f0fb"}.fa-beer:before{content:"\f0fc"}.fa-h-square:before{content:"\f0fd"}.fa-plus-square:before{content:"\f0fe"}.fa-angle-double-left:before{content:"\f100"}.fa-angle-double-right:before{content:"\f101"}.fa-angle-double-up:before{content:"\f102"}.fa-angle-double-down:before{content:"\f103"}.fa-angle-left:before{content:"\f104"}.fa-angle-right:before{content:"\f105"}.fa-angle-up:before{content:"\f106"}.fa-angle-down:before{content:"\f107"}.fa-desktop:before{content:"\f108"}.fa-laptop:before{content:"\f109"}.fa-tablet:before{content:"\f10a"}.fa-mobile-phone:before,.fa-mobile:before{content:"\f10b"}.fa-circle-o:before{content:"\f10c"}.fa-quote-left:before{content:"\f10d"}.fa-quote-right:before{content:"\f10e"}.fa-spinner:before{content:"\f110"}.fa-circle:before{content:"\f111"}.fa-mail-reply:before,.fa-reply:before{content:"\f112"}.fa-github-alt:before{content:"\f113"}.fa-folder-o:before{content:"\f114"}.fa-folder-open-o:before{content:"\f115"}.fa-smile-o:before{content:"\f118"}.fa-frown-o:before{content:"\f119"}.fa-meh-o:before{content:"\f11a"}.fa-gamepad:before{content:"\f11b"}.fa-keyboard-o:before{content:"\f11c"}.fa-flag-o:before{content:"\f11d"}.fa-flag-checkered:before{content:"\f11e"}.fa-terminal:before{content:"\f120"}.fa-code:before{content:"\f121"}.fa-mail-reply-all:before,.fa-reply-all:before{content:"\f122"}.fa-star-half-empty:before,.fa-star-half-full:before,.fa-star-half-o:before{content:"\f123"}.fa-location-arrow:before{content:"\f124"}.fa-crop:before{content:"\f125"}.fa-code-fork:before{content:"\f126"}.fa-unlink:before,.fa-chain-broken:before{content:"\f127"}.fa-question:before{content:"\f128"}.fa-info:before{content:"\f129"}.fa-exclamation:before{content:"\f12a"}.fa-superscript:before{content:"\f12b"}.fa-subscript:before{content:"\f12c"}.fa-eraser:before{content:"\f12d"}.fa-puzzle-piece:before{content:"\f12e"}.fa-microphone:before{content:"\f130"}.fa-microphone-slash:before{content:"\f131"}.fa-shield:before{content:"\f132"}.fa-calendar-o:before{content:"\f133"}.fa-fire-extinguisher:before{content:"\f134"}.fa-rocket:before{content:"\f135"}.fa-maxcdn:before{content:"\f136"}.fa-chevron-circle-left:before{content:"\f137"}.fa-chevron-circle-right:before{content:"\f138"}.fa-chevron-circle-up:before{content:"\f139"}.fa-chevron-circle-down:before{content:"\f13a"}.fa-html5:before{content:"\f13b"}.fa-css3:before{content:"\f13c"}.fa-anchor:before{content:"\f13d"}.fa-unlock-alt:before{content:"\f13e"}.fa-bullseye:before{content:"\f140"}.fa-ellipsis-h:before{content:"\f141"}.fa-ellipsis-v:before{content:"\f142"}.fa-rss-square:before{content:"\f143"}.fa-play-circle:before{content:"\f144"}.fa-ticket:before{content:"\f145"}.fa-minus-square:before{content:"\f146"}.fa-minus-square-o:before{content:"\f147"}.fa-level-up:before{content:"\f148"}.fa-level-down:before{content:"\f149"}.fa-check-square:before{content:"\f14a"}.fa-pencil-square:before{content:"\f14b"}.fa-external-link-square:before{content:"\f14c"}.fa-share-square:before{content:"\f14d"}.fa-compass:before{content:"\f14e"}.fa-toggle-down:before,.fa-caret-square-o-down:before{content:"\f150"}.fa-toggle-up:before,.fa-caret-square-o-up:before{content:"\f151"}.fa-toggle-right:before,.fa-caret-square-o-right:before{content:"\f152"}.fa-euro:before,.fa-eur:before{content:"\f153"}.fa-gbp:before{content:"\f154"}.fa-dollar:before,.fa-usd:before{content:"\f155"}.fa-rupee:before,.fa-inr:before{content:"\f156"}.fa-cny:before,.fa-rmb:before,.fa-yen:before,.fa-jpy:before{content:"\f157"}.fa-ruble:before,.fa-rouble:before,.fa-rub:before{content:"\f158"}.fa-won:before,.fa-krw:before{content:"\f159"}.fa-bitcoin:before,.fa-btc:before{content:"\f15a"}.fa-file:before{content:"\f15b"}.fa-file-text:before{content:"\f15c"}.fa-sort-alpha-asc:before{content:"\f15d"}.fa-sort-alpha-desc:before{content:"\f15e"}.fa-sort-amount-asc:before{content:"\f160"}.fa-sort-amount-desc:before{content:"\f161"}.fa-sort-numeric-asc:before{content:"\f162"}.fa-sort-numeric-desc:before{content:"\f163"}.fa-thumbs-up:before{content:"\f164"}.fa-thumbs-down:before{content:"\f165"}.fa-youtube-square:before{content:"\f166"}.fa-youtube:before{content:"\f167"}.fa-xing:before{content:"\f168"}.fa-xing-square:before{content:"\f169"}.fa-youtube-play:before{content:"\f16a"}.fa-dropbox:before{content:"\f16b"}.fa-stack-overflow:before{content:"\f16c"}.fa-instagram:before{content:"\f16d"}.fa-flickr:before{content:"\f16e"}.fa-adn:before{content:"\f170"}.fa-bitbucket:before{content:"\f171"}.fa-bitbucket-square:before{content:"\f172"}.fa-tumblr:before{content:"\f173"}.fa-tumblr-square:before{content:"\f174"}.fa-long-arrow-down:before{content:"\f175"}.fa-long-arrow-up:before{content:"\f176"}.fa-long-arrow-left:before{content:"\f177"}.fa-long-arrow-right:before{content:"\f178"}.fa-apple:before{content:"\f179"}.fa-windows:before{content:"\f17a"}.fa-android:before{content:"\f17b"}.fa-linux:before{content:"\f17c"}.fa-dribbble:before{content:"\f17d"}.fa-skype:before{content:"\f17e"}.fa-foursquare:before{content:"\f180"}.fa-trello:before{content:"\f181"}.fa-female:before{content:"\f182"}.fa-male:before{content:"\f183"}.fa-gittip:before,.fa-gratipay:before{content:"\f184"}.fa-sun-o:before{content:"\f185"}.fa-moon-o:before{content:"\f186"}.fa-archive:before{content:"\f187"}.fa-bug:before{content:"\f188"}.fa-vk:before{content:"\f189"}.fa-weibo:before{content:"\f18a"}.fa-renren:before{content:"\f18b"}.fa-pagelines:before{content:"\f18c"}.fa-stack-exchange:before{content:"\f18d"}.fa-arrow-circle-o-right:before{content:"\f18e"}.fa-arrow-circle-o-left:before{content:"\f190"}.fa-toggle-left:before,.fa-caret-square-o-left:before{content:"\f191"}.fa-dot-circle-o:before{content:"\f192"}.fa-wheelchair:before{content:"\f193"}.fa-vimeo-square:before{content:"\f194"}.fa-turkish-lira:before,.fa-try:before{content:"\f195"}.fa-plus-square-o:before{content:"\f196"}.fa-space-shuttle:before{content:"\f197"}.fa-slack:before{content:"\f198"}.fa-envelope-square:before{content:"\f199"}.fa-wordpress:before{content:"\f19a"}.fa-openid:before{content:"\f19b"}.fa-institution:before,.fa-bank:before,.fa-university:before{content:"\f19c"}.fa-mortar-board:before,.fa-graduation-cap:before{content:"\f19d"}.fa-yahoo:before{content:"\f19e"}.fa-google:before{content:"\f1a0"}.fa-reddit:before{content:"\f1a1"}.fa-reddit-square:before{content:"\f1a2"}.fa-stumbleupon-circle:before{content:"\f1a3"}.fa-stumbleupon:before{content:"\f1a4"}.fa-delicious:before{content:"\f1a5"}.fa-digg:before{content:"\f1a6"}.fa-pied-piper-pp:before{content:"\f1a7"}.fa-pied-piper-alt:before{content:"\f1a8"}.fa-drupal:before{content:"\f1a9"}.fa-joomla:before{content:"\f1aa"}.fa-language:before{content:"\f1ab"}.fa-fax:before{content:"\f1ac"}.fa-building:before{content:"\f1ad"}.fa-child:before{content:"\f1ae"}.fa-paw:before{content:"\f1b0"}.fa-spoon:before{content:"\f1b1"}.fa-cube:before{content:"\f1b2"}.fa-cubes:before{content:"\f1b3"}.fa-behance:before{content:"\f1b4"}.fa-behance-square:before{content:"\f1b5"}.fa-steam:before{content:"\f1b6"}.fa-steam-square:before{content:"\f1b7"}.fa-recycle:before{content:"\f1b8"}.fa-automobile:before,.fa-car:before{content:"\f1b9"}.fa-cab:before,.fa-taxi:before{content:"\f1ba"}.fa-tree:before{content:"\f1bb"}.fa-spotify:before{content:"\f1bc"}.fa-deviantart:before{content:"\f1bd"}.fa-soundcloud:before{content:"\f1be"}.fa-database:before{content:"\f1c0"}.fa-file-pdf-o:before{content:"\f1c1"}.fa-file-word-o:before{content:"\f1c2"}.fa-file-excel-o:before{content:"\f1c3"}.fa-file-powerpoint-o:before{content:"\f1c4"}.fa-file-photo-o:before,.fa-file-picture-o:before,.fa-file-image-o:before{content:"\f1c5"}.fa-file-zip-o:before,.fa-file-archive-o:before{content:"\f1c6"}.fa-file-sound-o:before,.fa-file-audio-o:before{content:"\f1c7"}.fa-file-movie-o:before,.fa-file-video-o:before{content:"\f1c8"}.fa-file-code-o:before{content:"\f1c9"}.fa-vine:before{content:"\f1ca"}.fa-codepen:before{content:"\f1cb"}.fa-jsfiddle:before{content:"\f1cc"}.fa-life-bouy:before,.fa-life-buoy:before,.fa-life-saver:before,.fa-support:before,.fa-life-ring:before{content:"\f1cd"}.fa-circle-o-notch:before{content:"\f1ce"}.fa-ra:before,.fa-resistance:before,.fa-rebel:before{content:"\f1d0"}.fa-ge:before,.fa-empire:before{content:"\f1d1"}.fa-git-square:before{content:"\f1d2"}.fa-git:before{content:"\f1d3"}.fa-y-combinator-square:before,.fa-yc-square:before,.fa-hacker-news:before{content:"\f1d4"}.fa-tencent-weibo:before{content:"\f1d5"}.fa-qq:before{content:"\f1d6"}.fa-wechat:before,.fa-weixin:before{content:"\f1d7"}.fa-send:before,.fa-paper-plane:before{content:"\f1d8"}.fa-send-o:before,.fa-paper-plane-o:before{content:"\f1d9"}.fa-history:before{content:"\f1da"}.fa-circle-thin:before{content:"\f1db"}.fa-header:before{content:"\f1dc"}.fa-paragraph:before{content:"\f1dd"}.fa-sliders:before{content:"\f1de"}.fa-share-alt:before{content:"\f1e0"}.fa-share-alt-square:before{content:"\f1e1"}.fa-bomb:before{content:"\f1e2"}.fa-soccer-ball-o:before,.fa-futbol-o:before{content:"\f1e3"}.fa-tty:before{content:"\f1e4"}.fa-binoculars:before{content:"\f1e5"}.fa-plug:before{content:"\f1e6"}.fa-slideshare:before{content:"\f1e7"}.fa-twitch:before{content:"\f1e8"}.fa-yelp:before{content:"\f1e9"}.fa-newspaper-o:before{content:"\f1ea"}.fa-wifi:before{content:"\f1eb"}.fa-calculator:before{content:"\f1ec"}.fa-paypal:before{content:"\f1ed"}.fa-google-wallet:before{content:"\f1ee"}.fa-cc-visa:before{content:"\f1f0"}.fa-cc-mastercard:before{content:"\f1f1"}.fa-cc-discover:before{content:"\f1f2"}.fa-cc-amex:before{content:"\f1f3"}.fa-cc-paypal:before{content:"\f1f4"}.fa-cc-stripe:before{content:"\f1f5"}.fa-bell-slash:before{content:"\f1f6"}.fa-bell-slash-o:before{content:"\f1f7"}.fa-trash:before{content:"\f1f8"}.fa-copyright:before{content:"\f1f9"}.fa-at:before{content:"\f1fa"}.fa-eyedropper:before{content:"\f1fb"}.fa-paint-brush:before{content:"\f1fc"}.fa-birthday-cake:before{content:"\f1fd"}.fa-area-chart:before{content:"\f1fe"}.fa-pie-chart:before{content:"\f200"}.fa-line-chart:before{content:"\f201"}.fa-lastfm:before{content:"\f202"}.fa-lastfm-square:before{content:"\f203"}.fa-toggle-off:before{content:"\f204"}.fa-toggle-on:before{content:"\f205"}.fa-bicycle:before{content:"\f206"}.fa-bus:before{content:"\f207"}.fa-ioxhost:before{content:"\f208"}.fa-angellist:before{content:"\f209"}.fa-cc:before{content:"\f20a"}.fa-shekel:before,.fa-sheqel:before,.fa-ils:before{content:"\f20b"}.fa-meanpath:before{content:"\f20c"}.fa-buysellads:before{content:"\f20d"}.fa-connectdevelop:before{content:"\f20e"}.fa-dashcube:before{content:"\f210"}.fa-forumbee:before{content:"\f211"}.fa-leanpub:before{content:"\f212"}.fa-sellsy:before{content:"\f213"}.fa-shirtsinbulk:before{content:"\f214"}.fa-simplybuilt:before{content:"\f215"}.fa-skyatlas:before{content:"\f216"}.fa-cart-plus:before{content:"\f217"}.fa-cart-arrow-down:before{content:"\f218"}.fa-diamond:before{content:"\f219"}.fa-ship:before{content:"\f21a"}.fa-user-secret:before{content:"\f21b"}.fa-motorcycle:before{content:"\f21c"}.fa-street-view:before{content:"\f21d"}.fa-heartbeat:before{content:"\f21e"}.fa-venus:before{content:"\f221"}.fa-mars:before{content:"\f222"}.fa-mercury:before{content:"\f223"}.fa-intersex:before,.fa-transgender:before{content:"\f224"}.fa-transgender-alt:before{content:"\f225"}.fa-venus-double:before{content:"\f226"}.fa-mars-double:before{content:"\f227"}.fa-venus-mars:before{content:"\f228"}.fa-mars-stroke:before{content:"\f229"}.fa-mars-stroke-v:before{content:"\f22a"}.fa-mars-stroke-h:before{content:"\f22b"}.fa-neuter:before{content:"\f22c"}.fa-genderless:before{content:"\f22d"}.fa-facebook-official:before{content:"\f230"}.fa-pinterest-p:before{content:"\f231"}.fa-whatsapp:before{content:"\f232"}.fa-server:before{content:"\f233"}.fa-user-plus:before{content:"\f234"}.fa-user-times:before{content:"\f235"}.fa-hotel:before,.fa-bed:before{content:"\f236"}.fa-viacoin:before{content:"\f237"}.fa-train:before{content:"\f238"}.fa-subway:before{content:"\f239"}.fa-medium:before{content:"\f23a"}.fa-yc:before,.fa-y-combinator:before{content:"\f23b"}.fa-optin-monster:before{content:"\f23c"}.fa-opencart:before{content:"\f23d"}.fa-expeditedssl:before{content:"\f23e"}.fa-battery-4:before,.fa-battery:before,.fa-battery-full:before{content:"\f240"}.fa-battery-3:before,.fa-battery-three-quarters:before{content:"\f241"}.fa-battery-2:before,.fa-battery-half:before{content:"\f242"}.fa-battery-1:before,.fa-battery-quarter:before{content:"\f243"}.fa-battery-0:before,.fa-battery-empty:before{content:"\f244"}.fa-mouse-pointer:before{content:"\f245"}.fa-i-cursor:before{content:"\f246"}.fa-object-group:before{content:"\f247"}.fa-object-ungroup:before{content:"\f248"}.fa-sticky-note:before{content:"\f249"}.fa-sticky-note-o:before{content:"\f24a"}.fa-cc-jcb:before{content:"\f24b"}.fa-cc-diners-club:before{content:"\f24c"}.fa-clone:before{content:"\f24d"}.fa-balance-scale:before{content:"\f24e"}.fa-hourglass-o:before{content:"\f250"}.fa-hourglass-1:before,.fa-hourglass-start:before{content:"\f251"}.fa-hourglass-2:before,.fa-hourglass-half:before{content:"\f252"}.fa-hourglass-3:before,.fa-hourglass-end:before{content:"\f253"}.fa-hourglass:before{content:"\f254"}.fa-hand-grab-o:before,.fa-hand-rock-o:before{content:"\f255"}.fa-hand-stop-o:before,.fa-hand-paper-o:before{content:"\f256"}.fa-hand-scissors-o:before{content:"\f257"}.fa-hand-lizard-o:before{content:"\f258"}.fa-hand-spock-o:before{content:"\f259"}.fa-hand-pointer-o:before{content:"\f25a"}.fa-hand-peace-o:before{content:"\f25b"}.fa-trademark:before{content:"\f25c"}.fa-registered:before{content:"\f25d"}.fa-creative-commons:before{content:"\f25e"}.fa-gg:before{content:"\f260"}.fa-gg-circle:before{content:"\f261"}.fa-tripadvisor:before{content:"\f262"}.fa-odnoklassniki:before{content:"\f263"}.fa-odnoklassniki-square:before{content:"\f264"}.fa-get-pocket:before{content:"\f265"}.fa-wikipedia-w:before{content:"\f266"}.fa-safari:before{content:"\f267"}.fa-chrome:before{content:"\f268"}.fa-firefox:before{content:"\f269"}.fa-opera:before{content:"\f26a"}.fa-internet-explorer:before{content:"\f26b"}.fa-tv:before,.fa-television:before{content:"\f26c"}.fa-contao:before{content:"\f26d"}.fa-500px:before{content:"\f26e"}.fa-amazon:before{content:"\f270"}.fa-calendar-plus-o:before{content:"\f271"}.fa-calendar-minus-o:before{content:"\f272"}.fa-calendar-times-o:before{content:"\f273"}.fa-calendar-check-o:before{content:"\f274"}.fa-industry:before{content:"\f275"}.fa-map-pin:before{content:"\f276"}.fa-map-signs:before{content:"\f277"}.fa-map-o:before{content:"\f278"}.fa-map:before{content:"\f279"}.fa-commenting:before{content:"\f27a"}.fa-commenting-o:before{content:"\f27b"}.fa-houzz:before{content:"\f27c"}.fa-vimeo:before{content:"\f27d"}.fa-black-tie:before{content:"\f27e"}.fa-fonticons:before{content:"\f280"}.fa-reddit-alien:before{content:"\f281"}.fa-edge:before{content:"\f282"}.fa-credit-card-alt:before{content:"\f283"}.fa-codiepie:before{content:"\f284"}.fa-modx:before{content:"\f285"}.fa-fort-awesome:before{content:"\f286"}.fa-usb:before{content:"\f287"}.fa-product-hunt:before{content:"\f288"}.fa-mixcloud:before{content:"\f289"}.fa-scribd:before{content:"\f28a"}.fa-pause-circle:before{content:"\f28b"}.fa-pause-circle-o:before{content:"\f28c"}.fa-stop-circle:before{content:"\f28d"}.fa-stop-circle-o:before{content:"\f28e"}.fa-shopping-bag:before{content:"\f290"}.fa-shopping-basket:before{content:"\f291"}.fa-hashtag:before{content:"\f292"}.fa-bluetooth:before{content:"\f293"}.fa-bluetooth-b:before{content:"\f294"}.fa-percent:before{content:"\f295"}.fa-gitlab:before{content:"\f296"}.fa-wpbeginner:before{content:"\f297"}.fa-wpforms:before{content:"\f298"}.fa-envira:before{content:"\f299"}.fa-universal-access:before{content:"\f29a"}.fa-wheelchair-alt:before{content:"\f29b"}.fa-question-circle-o:before{content:"\f29c"}.fa-blind:before{content:"\f29d"}.fa-audio-description:before{content:"\f29e"}.fa-volume-control-phone:before{content:"\f2a0"}.fa-braille:before{content:"\f2a1"}.fa-assistive-listening-systems:before{content:"\f2a2"}.fa-asl-interpreting:before,.fa-american-sign-language-interpreting:before{content:"\f2a3"}.fa-deafness:before,.fa-hard-of-hearing:before,.fa-deaf:before{content:"\f2a4"}.fa-glide:before{content:"\f2a5"}.fa-glide-g:before{content:"\f2a6"}.fa-signing:before,.fa-sign-language:before{content:"\f2a7"}.fa-low-vision:before{content:"\f2a8"}.fa-viadeo:before{content:"\f2a9"}.fa-viadeo-square:before{content:"\f2aa"}.fa-snapchat:before{content:"\f2ab"}.fa-snapchat-ghost:before{content:"\f2ac"}.fa-snapchat-square:before{content:"\f2ad"}.fa-pied-piper:before{content:"\f2ae"}.fa-first-order:before{content:"\f2b0"}.fa-yoast:before{content:"\f2b1"}.fa-themeisle:before{content:"\f2b2"}.fa-google-plus-circle:before,.fa-google-plus-official:before{content:"\f2b3"}.fa-fa:before,.fa-font-awesome:before{content:"\f2b4"}.fa-handshake-o:before{content:"\f2b5"}.fa-envelope-open:before{content:"\f2b6"}.fa-envelope-open-o:before{content:"\f2b7"}.fa-linode:before{content:"\f2b8"}.fa-address-book:before{content:"\f2b9"}.fa-address-book-o:before{content:"\f2ba"}.fa-vcard:before,.fa-address-card:before{content:"\f2bb"}.fa-vcard-o:before,.fa-address-card-o:before{content:"\f2bc"}.fa-user-circle:before{content:"\f2bd"}.fa-user-circle-o:before{content:"\f2be"}.fa-user-o:before{content:"\f2c0"}.fa-id-badge:before{content:"\f2c1"}.fa-drivers-license:before,.fa-id-card:before{content:"\f2c2"}.fa-drivers-license-o:before,.fa-id-card-o:before{content:"\f2c3"}.fa-quora:before{content:"\f2c4"}.fa-free-code-camp:before{content:"\f2c5"}.fa-telegram:before{content:"\f2c6"}.fa-thermometer-4:before,.fa-thermometer:before,.fa-thermometer-full:before{content:"\f2c7"}.fa-thermometer-3:before,.fa-thermometer-three-quarters:before{content:"\f2c8"}.fa-thermometer-2:before,.fa-thermometer-half:before{content:"\f2c9"}.fa-thermometer-1:before,.fa-thermometer-quarter:before{content:"\f2ca"}.fa-thermometer-0:before,.fa-thermometer-empty:before{content:"\f2cb"}.fa-shower:before{content:"\f2cc"}.fa-bathtub:before,.fa-s15:before,.fa-bath:before{content:"\f2cd"}.fa-podcast:before{content:"\f2ce"}.fa-window-maximize:before{content:"\f2d0"}.fa-window-minimize:before{content:"\f2d1"}.fa-window-restore:before{content:"\f2d2"}.fa-times-rectangle:before,.fa-window-close:before{content:"\f2d3"}.fa-times-rectangle-o:before,.fa-window-close-o:before{content:"\f2d4"}.fa-bandcamp:before{content:"\f2d5"}.fa-grav:before{content:"\f2d6"}.fa-etsy:before{content:"\f2d7"}.fa-imdb:before{content:"\f2d8"}.fa-ravelry:before{content:"\f2d9"}.fa-eercast:before{content:"\f2da"}.fa-microchip:before{content:"\f2db"}.fa-snowflake-o:before{content:"\f2dc"}.fa-superpowers:before{content:"\f2dd"}.fa-wpexplorer:before{content:"\f2de"}.fa-meetup:before{content:"\f2e0"}.sr-only{position:absolute;width:1px;height:1px;padding:0;margin:-1px;overflow:hidden;clip:rect(0, 0, 0, 0);border:0}.sr-only-focusable:active,.sr-only-focusable:focus{position:static;width:auto;height:auto;margin:0;overflow:visible;clip:auto} diff --git a/demos/streaming_asr_server/web/static/css/style.css b/demos/streaming_asr_server/web/static/css/style.css deleted file mode 100644 index a3040718b..000000000 --- a/demos/streaming_asr_server/web/static/css/style.css +++ /dev/null @@ -1,453 +0,0 @@ -/* -* @Author: baipengxia -* @Date: 2021-03-12 11:44:28 -* @Last Modified by: baipengxia -* @Last Modified time: 2021-03-12 15:14:24 -*/ - -/** COMMON RESET **/ -* { - -webkit-tap-highlight-color: rgba(0, 0, 0, 0); -} - -body, -h1, -h2, -h3, -h4, -h5, -h6, -hr, -p, -dl, -dt, -dd, -ul, -ol, -li, -fieldset, -lengend, -button, -input, -textarea, -th, -td { - margin: 0; - padding: 0; - color: #000; -} - -body { - font-size: 14px; -} -html, body { - min-width: 1200px; -} - -button, -input, -select, -textarea { - font-size: 14px; -} - -h1 { - font-size: 18px; -} - -h2 { - font-size: 14px; -} - -h3 { - font-size: 14px; -} - -ul, -ol, -li { - list-style: none; -} - -a { - text-decoration: none; -} - -a:hover { - text-decoration: none; -} - -fieldset, -img { - border: none; -} - -table { - border-collapse: collapse; - border-spacing: 0; -} - -i { - font-style: normal; -} - -label { - position: inherit; -} - -.clearfix:after { - content: "."; - display: block; - height: 0; - clear: both; - visibility: hidden; -} - -.clearfix { - zoom: 1; - display: block; -} - -html, -body { - font-family: Tahoma, Arial, 'microsoft yahei', 'Roboto', 'Droid Sans', 'Helvetica Neue', 'Droid Sans Fallback', 'Heiti SC', 'Hiragino Sans GB', 'Simsun', 'sans-self'; -} - - - -.audio-banner { - width: 100%; - overflow: auto; - padding: 0; - background: url('../image/voice-dictation.svg'); - background-size: cover; -} -.weaper { - width: 1200px; - height: 155px; - margin: 72px auto; -} -.text-content { - width: 670px; - height: 100%; - float: left; -} -.text-content .title { - font-size: 34px; - font-family: 'PingFangSC-Medium'; - font-weight: 500; - color: rgba(255, 255, 255, 1); - line-height: 48px; -} -.text-content .con { - font-size: 16px; - font-family: PingFangSC-Light; - font-weight: 300; - color: rgba(255, 255, 255, 1); - line-height: 30px; -} -.img-con { - width: 416px; - height: 100%; - float: right; -} -.img-con img { - width: 100%; - height: 100%; -} -.con-container { - margin-top: 34px; -} - -.audio-advantage { - background: #f8f9fa; -} -.asr-advantage { - width: 1200px; - margin: 0 auto; -} -.asr-advantage h2 { - text-align: center; - font-size: 22px; - padding: 30px 0 0 0; -} -.asr-advantage > ul > li { - box-sizing: border-box; - padding: 0 16px; - width: 33%; - text-align: center; - margin-bottom: 35px; -} -.asr-advantage > ul > li .icons{ - margin-top: 10px; - margin-bottom: 20px; - width: 42px; - height: 42px; -} -.service-item-content { - margin-top: 35px; - display: flex; - justify-content: center; - flex-wrap: wrap; -} -.service-item-content img { - width: 160px; - vertical-align: bottom; -} -.service-item-content > li { - box-sizing: border-box; - padding: 0 16px; - width: 33%; - text-align: center; - margin-bottom: 35px; -} -.service-item-content > li .service-item-content-title { - line-height: 1.5; - font-weight: 700; - margin-top: 10px; -} -.service-item-content > li .service-item-content-desc { - margin-top: 5px; - line-height: 1.8; - color: #657384; -} - - -.audio-scene-con { - width: 100%; - padding-bottom: 84px; - background: #fff; -} -.audio-scene { - overflow: auto; - width: 1200px; - background: #fff; - text-align: center; - padding: 0; - margin: 0 auto; -} -.audio-scene h2 { - padding: 30px 0 0 0; - font-size: 22px; - text-align: center; -} - -.audio-experience { - width: 100%; - height: 538px; - background: #fff; - padding: 0; - margin: 0; - overflow: auto; -} -.asr-box { - width: 1200px; - height: 394px; - margin: 64px auto; -} -.asr-box h2 { - font-size: 22px; - text-align: center; - margin-bottom: 64px; -} -.voice-container { - position: relative; - width: 1200px; - height: 308px; - background: rgba(255, 255, 255, 1); - border-radius: 8px; - border: 1px solid rgba(225, 225, 225, 1); -} -.voice-container .voice { - height: 236px; - width: 100%; - border-radius: 8px; -} -.voice-container .voice textarea { - height: 100%; - width: 100%; - border: none; - outline: none; - border-radius: 8px; - padding: 25px; - font-size: 14px; - box-sizing: border-box; - resize: none; -} -.voice-input { - width: 100%; - height: 72px; - box-sizing: border-box; - padding-left: 35px; - background: rgba(242, 244, 245, 1); - border-radius: 8px; - line-height: 72px; -} -.voice-input .el-select { - width: 492px; -} -.start-voice { - display: inline-block; - margin-left: 10px; -} -.start-voice .time { - margin-right: 25px; -} -.asr-advantage > ul > li { - margin-bottom: 77px; -} -#msg { - width: 100%; - line-height: 40px; - font-size: 14px; - margin-left: 330px; -} -#captcha { - margin-left: 350px !important; - display: inline-block; - position: relative; -} -.black { - position: fixed; - width: 100%; - height: 100%; - z-index: 5; - background: rgba(0, 0, 0, 0.5); - top: 0; - left: 0; -} -.container { - position: fixed; - z-index: 6; - top: 25%; - left: 10%; -} -.audio-scene-con { - width: 100%; - padding-bottom: 84px; - background: #fff; -} -#sound { - color: #fff; - cursor: pointer; - background: #147ede; - padding: 10px; - margin-top: 30px; - margin-left: 135px; - width: 176px; - height: 30px !important; - text-align: center; - line-height: 30px !important; - border-radius: 10px; -} -.con-ten { - position: absolute; - width: 100%; - height: 100%; - z-index: 5; - background: #fff; - opacity: 0.5; - top: 0; - left: 0; -} -.websocket-url { - width: 320px; - height: 20px; - border: 1px solid #dcdfe6; - line-height: 20px; - padding: 10px; - border-radius: 4px; -} -.voice-btn { - color: #fff; - background-color: #409eff; - font-weight: 500; - padding: 12px 20px; - font-size: 14px; - border-radius: 4px; - border: 0; - cursor: pointer; -} -.voice-btn.end { - display: none; -} -.result-text { - background: #fff; - padding: 20px; -} -.voice-footer { - border-top: 1px solid #dddede; - background: #f7f9fa; - text-align: center; - margin-bottom: 8px; - color: #333; - font-size: 12px; - padding: 20px 0; -} - -/** line animate **/ -.time-box { - display: none; - margin-left: 10px; - width: 300px; -} -.total-time { - font-size: 14px; - color: #545454; -} -.voice-btn.end.show, -.time-box.show { - display: inline; -} -.start-taste-line { - margin-right: 20px; - display: inline-block; -} -.start-taste-line hr { - background-color: #187cff; - width: 3px; - height: 8px; - margin: 0 3px; - display: inline-block; - border: none; -} -.hr { - animation: note 0.2s ease-in-out; - animation-iteration-count: infinite; - animation-direction: alternate; -} -.hr-one { - animation-delay: -0.9s; -} -.hr-two { - animation-delay: -0.8s; -} -.hr-three { - animation-delay: -0.7s; -} -.hr-four { - animation-delay: -0.6s; -} -.hr-five { - animation-delay: -0.5s; -} -.hr-six { - animation-delay: -0.4s; -} -.hr-seven { - animation-delay: -0.3s; -} -.hr-eight { - animation-delay: -0.2s; -} -.hr-nine { - animation-delay: -0.1s; -} -@keyframes note { - from { - transform: scaleY(1); - } - to { - transform: scaleY(4); - } -} \ No newline at end of file diff --git a/demos/streaming_asr_server/web/static/fonts/FontAwesome.otf b/demos/streaming_asr_server/web/static/fonts/FontAwesome.otf deleted file mode 100644 index 401ec0f36e4f73b8efa40bd6f604fe80d286db70..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 134808 zcmbTed0Z368#p`*x!BDCB%zS7iCT}g-at@1S{090>rJgUas+}vf=M{#z9E1d;RZp( zTk)*csx3XW+FN?rySCrfT6=x96PQ4M&nDV$`+NU*-_Pr^*_qjA=9!u2oM&cT84zXq}B5k!$BD4Vu&?bM+1pscNs?|}TanB=Gw z>T*v6IVvN? z<7If|L2rZi0%KIN{&DZI4@2I75Kod~vRI*C@Lrk$zoRI`^F$Oyi5HuU*7@mriz!*p z<-;A`Xy{#P=sl02_dFc|Je%0lCgxR=#y~GBP(blD-RPP8(7$Z9zY}6%V9+^PV9-}S zeJrBBmiT&{^*|I7AO`uM0Hi@<&?Gbsg`hd;akL06LCaAD+KeKR9vM(F+JQ1r4k|#^ zs1dcJZgd2lM9-ss^cuQ?K0u$NAJA{;Pc%#+ibshkZ%Rq2DJ}Id^(YlWJx)DIMNpAc z5|u*jq{^s9s)OpGj#8(nv(yXJOVn%B73xFkTk0q37wW$hrbawy4?hpJ#{`cMkGUR8 zJl1$@@QCv;d1QK&dhGIO_1Npt2c7Ttc++FR<7`t1o^76cJ&$`{^t|GE>K)k3GNh{I92zC*(@N#&?yeeKjuZ6dlx1V>2carxUub+37cb#{GcawLQFW@Wryy^!4biE!Rvyz z1Ro2&68s>zBluk~A`}Rv!iR*c@Dbr8VURFXxJ0-?Xb@%!i-a}8CSkYmfbf{`wD2Y2 zHQ|TCuZ2Gd?+E`8Iz?iUS~N~HT@)&sEqYwENVHt^j3`EwC^CsML}j8zQLCs&bWn6u zbWZe&=$hzV(PyIXMgJ8IdI`P!y)<59y>wnnyw-WednI|Lc%^yedzE{&dmZ&U;dS2Y zC9k)=KJoh6>nE?fUc)p+Gqf+QqQ}#Z(Ua+EbTA!ChtYHBC+G$AVtOSVNypHsw2f|| z57Ecylk_F}HTnwuKK%v#9sN5!#306#5i&|f&5UPs%mQXL6UD?a$&8iBWb&C3W*5`Q zv@>1IKIR~ElsV0uWu9j)F|RV0nGcyynO~Sc#7N8&dy5s~(c*F9N5zxH)5SV*n0T&u zzW7P;)8bX)2=RLHX7M(0tk@t<5~ql*;tX-NIA2^QwuyI%8^q1xc5#<@ulRuYi1@hp zwD_F(g7_uz8{)Uc?~6Yae=7b${Ehf~@h$Nk@$ce$;z9ASgp!CPGKrr=CDBO6NhV2x zB{L+mB~M7gB}*jBBr7HBBpW4LCDD>N$##iRVwR*yvLv~ZLP@ElQc@#nl(b4ZC3__M zB!?u&Bqt@$NzO|yNnVz`E_qY(w&Z=uhmubvUr4@@d@s2rxg+^qa!)cS8J1E~zSK)9 zk@`rL(f}zd9W5OveN;MGI$f%hhDqm2=Svq!mr7Si*GSh%H%hlkqor}u?NX!EEKQSU zNpq!z(o$)qv_@JlZIZT0cT0Pu`=y7aebQ6Xv(gu&FG^pLz9GFTeMkC%^dspF>6g-P zrT>xsB>hGDhxAYBkaR@mArr`GnN;R0^OLD$8rc}xc-dpJDY770sBD((aoGadV%bvJ z3fUUjI@w0qR#~(xPPScUl$m8|vMgDytWZ`etCZEq>Sax`HrZ}jk8Ho}u&ht^oa~~k zU-p{pitJt4N3t8TFJ<4#{v-QI_KWNf*`Kl@*@(A?x4@hBmU{bo`+2LpHQr;q$9q5K zJ;gi7JIs5Y_Y&_F-p_b%_Kxx1?!Ci1!#mHr)Vtc-?%nR)<9*2cg!eh`7rkHie#`s1 z_YLoFynpom)%#EHVIQ6kPx>cKQ_h zRQS~TH2duK+2?cA=d{lYJ}>)R@p;$hBcCsPzVo^5^M}u%FY*=oN_~BO1AIsMPVk-L ztMi@Xo9LSspA==WB&S*uVl4V7bBsZ6Ow%WsQuJUl%vOsv%FNx7`s5UAW~xPRj!Q^N zwi+UnqRjDntAR@;SgfW*vp(6Brq42&k|Pt0u7@erYKn`qB*Yt|l44BpR&$iaU;sM- z4d^4IlC0K*WWCuG6&q_xHzvW8D|?VmP2oxsjM1iyl%%N4$e09kOp@NLPtiwN&H6aA z-eTa;a#fN{F^O?WQSqF~OEH*?dP|xqDK%Li3CQoKxK{5cQ&V=BV@$F7Xc#FxtWojs zXNfkM61h7$%AA;DPB2qoM4Ov7+011Nf%sPRE(aRk;t@!SiLC) z(4}(2HO9bnN2Nq^J%e^*xrU$#s~$RKF+`d5K(ClYZt5*oeM)3>R7_%elsPso3MS`4 z=E0Mj$&@IdAbalxm6OD4U#Myq|K@ z-&JTzbUk*Y0-^+{&H*ME<4mrECC04R8!ZMC(2?u*ebPc5H;tpCU=m%_jxw7~>F%j@ zrQFl$N~Wf`Uvh+X%>u^=z!V8t`pCG{q@?>vOLA0Fl0G9QDJnVY@1Ddb#95Q{QE_nz z(2-1F6PRS~8IxqP=wV8rtMRU$!gLw+F;Pi+V=Q2cGRB&cV@%1(K)mFrc%%OB*-1@# zFgILx%zA6OUJtY}rKE5z#efjS0T1cTZVdO+9M=22Ow*gK34rH*)?hLxWC7zvB>|5{ z#sH12*7O8mIkT%*9G`Hk>dLs;G!k%{O^NzUkTT2tE?TUH)Z}POWNL~_)Z7`ae_Ylj z(7?KJE)jQ&Hb*3o*rWtwBJh@*Xep@{0}KNAUT+2=21z$2x`_$+QVf~#34kTq)f2bC zy5teaYIF&ri#6S?KM*c=&h^$+?f%Ff49eYLDyV~)MBo$Pac=%%%@&IxHZ~dv3zK7v z)+Z&!aB~(1vu4#BfHILT-f*QjQFJ9zQ(O;j%x->){2xR8tH4$FUnM|M7YE+2!8H+| zWQx|On?W8yq%DaSP+~AC(dGnwTuhWj&oP~wvyCRJen%=uy)iDqm|)FJ(pxO9f_SqD zCJAN`7%eq6S|0`S9FuB|F{OY|rnuN6A;l5}g3RfWXkb3jsU|ZpPHK`V$znApB!a$$ zM&b>rphC>h6sWK0Bt38=XbW>{Od`+XNK_^W~`uM1%SkU{?CLrT| z*5rU5a4DAt4QsU|SYaF~z_MnbZd3}WFFoi`11Pc7q-YRfpk=(?HFGY!oON*L+>FN= zrpV-2sAV;nKn7Cumed63yhYD(iyLEHoL(PiGR3;=k4uAd$Ws$QzZ>JBRtl%)qmlt( zlrcu1tdC7hu*PwHfTp+Wtez}SISAlE3{#BBi@~MV=s9VU~oa*A29jU;4uHLv)t`=cj zMkBD=0}Gn;Kx|?3|5QxeB>h7H-63>M1rORUPw)_81!IgVnE33zbVFL~|4d{TmH>B{(ST?=mZBvFKDQ zs6e71u%5ZNZgM&lh)@6d3N{!aL268{00aWAef0lv1i^_}z`hyP% zyasc1UyCFdAscUwN{$1kE)jexW8Cx^)1woB65NEk+OUEqN;12DT?I)dX#Iaq$3L>1 z0{Z(M#~c61xyK|v7Q!EnR;&(y&k3ik}S zXTlwpYD`!>eg3q#=~2@ogTnwcEEv)N8U~)gNue|5Zu9Vhq$UQ zm=4KMxM#pU6K(*VJ`HXtpAMkY0d#r@+&Z`cZaTnC2e|2O?BUZ~t%L(~5I_e3bPzxX z0dx>R2LW^tKnFpq!O&_jzy$+bFu(=7JFw8*!oumUh8A)!p+c~``Gq=nX{h@Ft%X3% z5Wo-u7(xI;2v-IbLfjP=0TLY`(Lp;p0M!Ag4nTDPssm6Rfa;(#p#T>OaG?Mf3UHzB z&MfAN0W@?*-1IoE7(i!0*$e=k0iZLWYz8zr1Dc!>3NSJ7geGSI+)RL*32;EO5TIEI z&@2RK76LR20h)yX%|d1ZTo}NG0UQu4Bn;rfLgIqB84nAECszh=Krr33X>d=6I|%Mz zxI^I9!5s?s47g{)9hRo&)&V*omkuiHfLuBtmk!9K19ItrTsk0^ZaOp=1PulO91uze zgwg?_bU-K_5K0Gx(gC4#Kqws$N(Y3}0ikq2C>;pDE*Ri~0WKKefIhllfC~Y*5P%B- zI3SA-$f5(X=zuIbAd3#jq6+~y9l!xibU+gw&_o9`(E&|#KocF%L`hz;)DWmLP3;5fv}-Kn^2%lD9|PpXcG#w z2?g4O0&PNpHlaY9P@qjH&?XdU6AH8m1=@rHZ9;)Ip+K8ZpiO9yi^YTHyZbQTB``tr zgIpb(AMAd(*f?muyEF4$ViPofhWp)2_v3ym^WC`x?nk)$vC#ck*h}=pfDBO)G+>I#QjVRoW zDBO)G+>I#QjVRoWDBO)G+>I#QjVRoWDBO)G+>OYsYl7UmCTO7>(Ly((g>FP{jT5xc zjcB18(Ly((g>FO(-G~;t5iN8hTIfc!(2Z!3d+HXsN3_U|XptMyA~&K%?h!3=BU%JB z4s&B!kI%_aQR>IrR=x#+$+m z;mzdD<1ON?aK+rWLd3m{XXDlKF7tlj5kBJc_#(bPKaf9_AIz`iH}m)K`}oiCFYx>M zm-%n=-{;@vV?KeH`Llwpf*3)(AW4u1G4l#RpWvL}qTr5jrf`mMv2dxdS=b@mD?BVb zC463ZN%*qxvhY3O_rhO=4pE>e9OBP801EGXWnOSFyAwG zTv6*$;wj=_@l5eN@nZ2Zh*qaSY`R=r4N>V1@qY0M@g?y!@q6OWAO?L){EI{=882BR ziIpTnM7d02lhi{L`JCic$vcvdC7(mg_&<_gB)>zHn1$%@bchNskS>9k@H5g)QoS@! z+A2K_vEG-ZuS?&8IPWLY-yx#=u>zUPB{q&{POCP9RCmd^r+u&(rp@QL@y@~QS|_v!Z8?{m!OIiHIVSH0@lOL9!ke`vC zm%k`~TmGs1M>&>{C?twN#iNRuig}8ainWUMip`2>g+Y;`$W@dm8Wf$1Ud1uRDa8fF z%Zkg2w-oOyK2dzBxT(0M_(gG7NhzgDwQ`Jdsxm}5Tls`?vGQr%R{`icA`e!hMW`33q-@SEfp919`B@V$_Hqg<(g&v8BX9I=vHqtmmC?CQiTI)~<@i|)VblQ3H8$=5wV+lKpUN(tkX3=CokeSoksl^f7X+{TA zIF)6dh2AY2%Q6!H89e$99_(Y*(NEJ_CXL1~&@gHZ!{tKhI3Nu-(Ha=IyBUSBv$eHT zgB60#)|^Z&R`8NoCM!ETi&2iFnc+MaF`j>W($I9M|{Fdn9I0?i2Fo&$U{Z$8c3Z@s||tuw%~3Wi@-Qn;%~T~t_BQle$H z(%4@xz~aD7*k|q?4X(!xeC$IzBLc~&skAbfW@1}K{oBs2(=e?$os8k2kr~4h zJ2O0>T)++~{L*NRd_Vq^9U6!SiC8JPP*C~V5;d_4fTOkv@S@>s{2b%v$CGe8J!BW$ zWJe|m8oOG%dsIDzy=8keLkF>xe{|R014mR+Y`{OWCs<;@^T<4GVD_^hV!}nQuYO;{ z5XCB*xT4s7O{^guzsd)gfXJQqzy2L25&H1IC#;IT7k4stQAl`4B!EN5{B z%pdSc|Jk$sj4=3m_)QJ7aLt;9j9?+l;Lq7qmdS+Ivq3g^vuWr9Ori3g?wip|f$O8$ zKoRc7K@j_H<&QM^hJ3>(Z90(msVr_2V938oGun{|A+`@ijA8@%`OHKb zX4RUNno+1Fsm@K#$_0FLSyEoIDzhc4IalLA zb%1SMvT*GQkdEyv6C56npQmv*NZ^3*=Jo3^6G|OS!ffJ!A0cyp)U<7ESpTewESXBe z$ZR6j5FVLIBA1gywK2K6+Nce~K6us!{FM628+DDZYQJ1{Yuj%-_7@*4Jyh0S(blr7 zQ-nqAuHCuK`7N>MB2OiJDPqjMF*dWAQ9BcC&ID(IiorKn=&gOoj_sZd&SY^p4GIN6 z$ujr8`Q{!onZ=4VG(+JDv?mkDM~vf;4L=7e7Nj%+!^8^nu>vGj-o{J^t(iXu^z1a6 z0mZ>6lSYiTBz1Onc}b2oGRqXbRTVgdgMEsSh7)?(We#mOJJ+mOJP0 z(|Qi(A6B=uRoAs@&vhI)^SmmM?4jyV%qZQ#(?JiOp< zO{!&p^j-9@LQu~-JXr0BLP+N0wPX}7F42$#vX!5n)@nGY9y%j9*xJ{XrX>k@D<2ov z;k9@ap064LgRzKg!4DG~FhVD&S$f$cv~yq~%`67qSK?$420t)W6Gjt0(Gb6%U_j&E zc%%E!0Zp~w;f&=Ih*)jhQCFX?&9BMdRk$mb@co-hTT9zZMTPrL6hE)Vh1dg|@K!K* zTZoNO{z3a$X(ofl(}7b#UtVCzXvSV&Z`U&KzyA9B4F4p{ELy#Kk(SYcNpULjSf-&I zC$NOGes#q~y9(8uDPS^NbFd%F(Htv)nK+TfCuw38tlM_BUwZ`qLE~4!4&lS}a0Gsy z)i@LaJOb1^3B(c{rnOE5SBkCp2Rcz0O>36T0c(Z(aF&Ay)hz3moP-^ynaT#zZENX=Dem$rBj#FkIX-f$24$w)OS~yvH)( z;A7l3ngKsZp>)h9ckmtOY_fr@okIf1XkZJh%-n6NwH5?e3U*p|sN8HWU{vQg zCL+RkEEHe`i*@)@mf6%Uu+exiEpRDX8aihIL)OnReaLhgw+fiIp;iYz59ArZ1N^$W z8he9^5ti4N)s@r@Zyem{Z|+Sm1c_1NM_Js=uBDk{aG(Y}0$W-k%aA^j1y>(PYAw(T z+zKnO1%98!@D$>A;fbvRM)^KWHGP|@VZn;bpoa!(Sl4WS1|n(q!%|jb6E0=7PP@Zy zghoFgO>licKEUwAAHdZF*9VMpB6Jp?IRcHAdma(6LTQ!$uG!tPgz^r867LH@VA>{RgLukD%WQ6OsZCj^x4qz~8LrOebNhkr? zhA-l$aTnNsJcl$2$S9Iwjw&rKE3POGC>Jna&>Jp23*GpIQ^=f)f@R}>BQhZ34VuY? zuC(OB3vdOMU^W>c_GFn)xdG!Q_8Z-3M%jIh-&wc2wL|T=E9h*@$t=;PE#qgFWaMP2 zop%M91+ATRTE++?hk@I073jMNb_UCs&9<0cGt&Zt&uwAA!5GR1s|QvN61bM;yqFCe zz`4P-q;?feYH=;olG|l#X$fGIj>qtqNu8Y&vpO-(hm zc5O#vb9>EhY+ptD@9Hhso7N_RG2mP_3t9*N6mMs3^hANHvM2Ut83!nEPIqgioI}Ap z1!jzd;1ZSz)l6Zhy;JQJHyHgbL5aKZA zb(hGdvC@4#?Ry)wjXk9YGCG;OyqzUk>a3l0&3WL4tcPibPCGDuVP>#WUrwqV58>0~87#&v_za1|68Z4FK;8kSI~i6PbuJ&@4!#2{Vqkt@6*CBW zq^@pPT}^!eGrVzlV@XL_NqKPqQ_g}FCW-|#)7xu1ZSDo{#df;4m&vN%*__AV_vnc< ztWQ9f&-r{KOo>#5r5CZsjn6eVW?h8olB$@4yBkiYA0i8Ii+|h6)AqA!ybzBiW646s z&sK&@$s>5K20Z3KVyGY+Z7N$isbziwvcf!l0qZni2*D?ux8bmZ{_kk7Z*FE>ejwv4 zbdHCs&{^n!r=t+A@o*I~+Qz*6`kiWWejWLhq>&kaPQ)SF!4UxyB<#v;-jSl>Gy!K9 z_c!nB>ePHEWR}vf9AoeXS}I(AX~Ua%53qTT!;@|Wis8qh2iyWg3#%=of#GLn7MRT{ zbECO46BI#;)taIiFG#WW?AHQuh+RiB*5cfVZ=^pjXXMwjsOc zkew0cLXVfj0@@R=uF#&k)P3!ms3YH}Sa6as z-+zA+GXolCB%%>8a~>xQfqOv4<#Gf8qw+ZQUkE=Sl(6)xtKZdNR{`&U2{nTY%Z=Gy zQU@?kaW+rLjjCYpK2>ky-cG170gvZ*bTZ5S3j(38Pj8ECkL-!*sp+ZT(;%wrtK`(y z01g4q*A56nU{!-dJel_Py5?r>pr_+!zTJ*f@D^OGV%D(a3?88IT_J;)u-qaoyN@E#8N z^ERHLWduYvems$BhX*iN))}m0fC1Zjm{SewU=_fC!sS8&%w(Ed<}e?+tO*DVTnibc zjb?5OCxLy>IcnXjVQj0odcrtYOZ@ACHWTkB^Kz9)IrK@#E)UG?-_@ zyb8?I6c$t!s-r5ImuYEjb4^RDid!giOzq+bATcBw*$R$JIHO+5-eYcF4-aNs#yc&Z9}$OTab3Op!K zsi#?r5kN3(ctA*k8KJ|2W*Y1@b#+WBhy@XXJaSCQxr>XI5JASqMq`;Kld-bAz#$00 ztpcFt_QsBe-J-5)tZZ$AWh9Fys_?{Bn4R>8<~U#wLVSWzwKg=i)@Xj{dgtn?uS85y zNkc=G_ASRGep6Lr12>{F&gJADOr+tAHu+dj#*69~_v}8z2!d$r2jgt0YpT~ab=W(b zJ47G74Bb=05~M-RRIo}0>@4_3J@h$l%(1K^1eme4Lj_D}-_=l8r>SE?z=CZ86S8e& zIUj#3z}tqF^W95v5&=;zj_qMSouCH^rw1L}n$iK99dvpj=Sq}-Dj0CFsFSua$FYND zPO;olnE~&00?SOH$8oJ(gUJSmPspUu-~}@~tUIj*+5$_hX?G^01!GoJsIuU3WGsOG zeQ|v1iw{E-Ah;}8oko^b*A#PdasuQbgi|n#U^C0)=GoF(@|bS?1w>+UwkN0(S{Y$D zjA$O7#}Jli^7AV*8gm0cg@;4M8|<=lUq&}-bjUY<-uw33dw(+NiCU5+%q}j@)-ak$ zV^=|)i7GM?C@UchsS@NB+89kuQDJqV8u;ga?>H6f4(GwZl=v*SS`x%#fq>y#dXDBC zQ-e)v&&jOPGW^b}cJMHP-VQ#;_zG|&m|oztI3heD0H^c?uuv@gfh7oFhvfqi-60R*koEXQCOtVrdnj{zmqE>_i9bPb`GX62 z%G49LQ6IZ8mJvQn#{n`8INIQ-m3v0MgE_nfH^4OB@{rAN`_R8NF9v=C!@fh5W57ik%-Mi>^{T} zAofqh{)IFXkmhluc?M}pk>(20Qb_wa(#9a|5E``xjrtsoo`yz$h{jApW459(SJ1=L z(8JwmtQd{mfyRE0#@D3Q85wBC1vJxu!iLbSwP*{{<~*LE-IaVGUYz04?rEOYWd2m!c<6qo?@jsR*<}jaD?G6O-_{*1Urv_MvB%pml+0-2t@jI9m56dX`1&r=tz)(Z<)&rip0N z%V={r+TxA2^rJ0KwAGFxC!)wO6uAUNnowi|iu?dYeupA|N0EP_ZFMNhA4M%e(V-~% zB^3P~idltXE~D59DE0=@uRw82P+SL!yMy8%NAaH_Lpd_MixMWIgnX3n9ojw$ZNGsM z(^1kml+=onXQ1RRl>7!t{uLR=BI9giT#1Y^$XJYwmyq!-Wc&=7#voHYGQEaUSd=mz zr96&O)}tL1+CifoImrAJGS?%^Ok|mbEOU^h8d<(XmLX)VM5&c1Z4OF*3Z)xR`T)vU zf->GgnWIo<5y~2mc7~#zsc7f(C|irN3sLq*DCb3#%SX9wDEBv%>qL3aq5N=^-+}T! zK?OdjU^yx%K?S!^VHhg%Mn&PMC>s^EqoT8@I0zNjppu!WWF0Emg-U)!rK?bBIV$r) zWihDiYgDd4V8{4#1uMy)hzZ9r`lYF~xgO{l#ab@ZdokJ0YwXm=&r zeFJqphPpCP*Bhw27InXa_PmAmhoA#-=-?D|$P*oU5*_*o9af{m&!8il(UITK(dp>u zPw3bW==d&l!UvtWicU^IC&SUnbae7CI{7?0wF#XXM5mucr@PUa{ph)JbXJ7UJ%Y}) zq32oj{2g>Y8l8U^z3?`=a2#EnjV^wUE-BEZqv*w@sDCGV`8;}c3VPiez21r5SdHE| zhAzjU%YEp|W9Z5!=*=tWYCF2tjNYn1Z&#tWucCJX&^y`a-EHXIBj|&T=z~r)@CX`s z1%0>_efSdkh(aIzfK(Dxss|NMo1u%aJ6M?c1+A06nYN$97~(e0z?XMgl_8M?Cr z-T4;%`ULv*F8b{&^t%cDu?78CgYHg8gHebqrBFBpTm7Eh6pu&oj!^t*6#son@FgXT zr-U~tQ3WOHr9@v*USlbUQ`6s4%nFKWqQotfWHBY3LU{*JJ_5=olk(j``F=<#Kc)Oa zD8KKhhlVKsbCjxyQct7;HB{hoDzJ@W=TMpwO1q01b(R|aI5qkkYRqhEjDZ^SCH1hJ zdbo-j8%>Rir^YX&#@A631k{9TYQkx1!e`WkFQ^G$QI7;tk6fZ2y+l1WhI(u-HL;PJ z_$4*z32IUbHR&uhc`-Hl87ky)D&!!g%cXR`QK3RAl%+z0snEx%&{}GS7d3MX71lz9 zy-m%UOwC?Q&Hj;^6GqJ;)Z7Ww+|AV7R%-4`)Z>2C6C0>`YpD6}Q420m3l-F&`PAYo z)RIc-$w#Osd#I=Q)KkgSvL)2hfz;EVP|LScD>hOqFHx&9sMYhRHBxHrIBIPYwe~M+ z-4W{9)71J|)cQ5l`hC>;@2CwTYQq+4!w1yHd}`y%)TW8lCL^`!3bi?w+FVC%iKn)1 zptk-%MFvrkH>qtpYTGp`Y7Z6l3l+0~iuI&oXH&7yQn6`NY&)eNO~v_BaX(P;CMy1I z%CLemyh0@;QrqWI+drieuTx21P|1aqv5PWwQz=erhk-KJQr7cSY9f`kfl7~~GJdAA z)=@jnRCXbiGnL8}P`S@jc|}ydlPWkt6+c52S5w6!RB0+zrlraiRK=TAivl7{e^0k;pVIJl=A~4Sr zmb^S=Ab*r20=5#I5klDC;VB10R?)*D;Aab@fkPikN5!xh;yZTFK>k%nmXhqoQ!w0D z`nqozt^_Q@9)>G(x>pzi$Zj&3k1q>vKz!ymnp_qFm9B;FD#iR^J1oBn=phB{wUU8ByI>H$ zx8!$q^&C71XwoQrfyNoM=PID%C?&UCEhwxkFVqYV5Ia96*Ay3}8rg(L(}Np?fUSV< zJO&x*C>!j`DNaJG(1B7|a?Yb+Ls8lddmB)K6#yE|o@S4?6&lz_NK%B zkq5-McvwqBqNhLl@$vtvtKdW3|Ni*N)sM7Ti$$=S=i!I3M{ifpp6J)(lYyQ1kItoa2CREud1?qW}t zM4Dkg^u(WZ_eR(ZM4m(7XDhLZ?W2K;DP&7Sv38K>`~~8??IrDMDYinNha}2FiOrT> z8fWDINp)=E?=H;RV^ycIj%P?dzqq-zv{ikudG9{VMbCj6I~)g<*PUTb3Et$Cl1&4S zF!BbzGapVPj0g@yT%AR8J2pNGeYam|7_VzY*!nqQF95f6X_??}N zy}c^XE;S%19?&dkI$yl~L4z+~*L5H4Us%Ws+y(Fdhs9L_Wq|Ns$Xsne`9HBgz|0BS zI@STA#{FWu!U-$<>onnZrtTk~;dZTr?qf9E#+Bd{t+{3f-o#en+%_)cTwCLKgmtMA7k=EzdSd(S4Zx%j-keF30X!bM3MnU- z8j66_NCc!Hx&=wlHNVnQJ)A2URP3aIH7R9BUVB!JhAcZ!a5U#=){%f?FPu1c?7XP9 zzNX%;g3X%JI!)9Yi{4y!QB+r42wTR5h2^k^M8=FVwk0x#IF2}DiCZ?|Z$P`9YMsJ2-1-0Jt2 z_iqvv*W1hNYCD9#;9S?}KM!Uf$~#;TaDY6`&#G?E?Nnnk?C&(U@6xtku6wKg%HhVt zEeG4Mh9EFTT+L%xjVB!0tF3bl7)na&HF3|!pG&ydez5sa(-FM{#m`cG+2uf29T+j|ZIiwhQQaBtkbmc4h zV*1L{>(re1uZ-E4u3bcC^U0g_kh{yHmH{o!S;O6yP*aK?eR8GlIrLf!WX=NQ} zl-0KC%4&`Cy2I$a?lkf%Dk~~fPAeR#xB?(fU;`Fg9OsoyEfw9lO~izk`a33NvE*4H zDaYHQ`j*(D3<1M2&fB^96=_Ym0dLN)Eomrgs0^@IHq_MD4nFDl(0}kr=ZE~#y84O+ z*T#55Rl}~@x;H=cmzD$PU^(bJoKBC1kexsZf?x%YLg6^$J~snT1>~(@NrtTWEt=dV zRujbWz^k~ed>8_3pfCq;1O%)v1quT_hi*GgD0fz6=Vhx&xga~cxxGreOSl(62#Z(X zA$BiBT+4)mHfOx@bpGk=;~J-K=pethAZ1UAn*0C&Z6t!9S(Tdu{5MOGncLb~rEP=Q zA4JN25TvA}nhUf}-N-?Hc6@$JjLO&$c~UbNA;^NWaaGzbFvNhS7h358Tb@~!1DmVx z_GH7kgD!P2M1wlDgH!Yx?Ti(0x{x0qw<&$Sdi|!Z<8fM|#({jN9*5Fk5_<})?K|KU zmm@-em$A+WVi)4C;e?7a!XImBM}#9{cW3Q^g1rIK4463J7MLW(%%QuEyEkF00SI&# ztib=vkwqK_V2*(>_Fql>G5CnGwz<5euo0wxz#mR_)WCtYqVkerExAsv^Gk}k5axK; zxQifne+6VXLfF#W&|Iq}e>l3s*zU9;pvZUhPy=xAB$!U%%Sjj>?+L1FtLmz2vB6R7 zKe%3i4bI}~(yEf`(g3_6S$RCaKj)Z+6gn>QkLJYeGpK>p4KX{m=V(cx^CCYdA%9)G z%9#ec&S$|3=!WwSJ$c>fO&aGJJdn|Bwx#C>r03)dc5? zAQ0>a{PHX8IojnXR?+w>n0uP|5v4zdlM-a@4YEOv+h{nRk@Oqv3y#+|w%B&(H3302 zFb9P-psFeh%SwwyME)q55Ke;Ccr1+{!rmJ~ZfWK3!4VwLFF=?C4hb%2TVh3I(i9Rll`K}nIa8lYHz#W$V$QxpPX|K7v9$=H{JrZm zcO;b$JTV5ZejGomcJT4@usihU*V?LTTTQj97t{otb%O!$v5Jf#YdC#@z-MFdPg<_)c3024Z7yxZ zX{0cYR~4RM2kwqx@c?f$?fNN&-YH+?3Lg9@h7}K-&Vd2f-t!U`HWFZyYv51X39AI~ zBX9(T6FB=2;R#CsyAn7C`_jOmcwiy~)DvNo8CR06cq{ZBo^VydlqG%zmI)R-aLjT5 z$dyKK>5V>R)dUhLoL@E5fxJJ2r+RwNoQHE^{mbI%NHP~hYPvefSlepSzD2Y|_7Y@a zY9_B;Mtrq9a*a8bouZ7Kyex}qI7>K%ZEmcoYtnoOJ5IB&!x3QPO*ozPv>IsY^U4*> z*B)%^X+5Emg1U4M0T>=S!tD|Oe|w&02Q^B^RHqOA)%h%3KIB*DR6=!)KK+QMYa?F1 zolmHPzs$mnI&mQlCiH1I%`|c5y19|sCC&VdHw&)4qr$J?mv9HZ1=mZYgS_%&!Lp3y znk9MsPa|jcPgEZfcCbf;nEB;%OdZtXwv~GsC3X${ug9SJyOXFjR#4I8w#6b(t)~he;onKx4+XoqKb%twrsn zZAAyN4`l6wgH|(%)(tK@K4CK-GAA#%E)mvA&e}}LB zbPKXq<#~VgU-fe&x{oiW!Qm^{3D50t!n3=}wnu%nO4-cj7ufO(*=D<~Nqwt`5sRB&PuCXhsj@dTi<<52H7)AFK>?QUJBFvcpvC)#G_5a`ys+bV zK%Y6Pd$W4DT9B1hT9&1)sv+{@MTCu79+c&8kM9}+SLzF>e;nb^MU4(oR}p)R0Md691%r!J&2P;SdP_oLMFu6B05;>kLWc4)lfKS#W5?wI%|hoq`hu zfx>*xp@_k|@M(qn0}BG5U2uozAAEj+p&UwrwSy6k5G4?GJvc;fo9Di~NbR%>7R`O; zDYJGxI8E>dA7Mun!eUxuWd+Mv?U2Gj!*NnrXHTVJbU#n}+OZll+_5Y9iNS;+y;7d? z0U39NOnr$=5>;koRA#6jd8DT55v}v3;fIx1->hl6s;zGAs%wRSh*vrmsjKW&cDt&} zw!3n-W=#W`Q1glEkfXx}Qs8t(5j3uAvN51y4j&X3@w_#tyW_a0#W72@XmpdFU zwJ9yH+wscx?pEEqr)oTK)^?2gpr4CX53 zcPo2r+|^&z-!C2~cl=iL+i$A+vuEqhsqt()|4CRs?j#ddlj!)ks=9cs^W=y`S&tXv zr`qw7n>R~ts_}XJHWt7kx;Qcy=3~uSSTJ3~f$!iYD%?V7I(K0-txXmcqySZXyRjTUA+J_CRG|P7^tz5RVVzNI33P*p{0cvi@F5gCc zd9^pcZTn6w?|%2a%F6e&m9M>#@!Fp5nmy`T)iJ zi=lMC;hb$h#99HCFYoKypK~Bm9XMDJ$omVwLyP3QFYmJ9%@>Y}x)1)@aYEgJAF9c2 z)i&ppg=eaWmym3&;~XW`(=}vo>PGl*;8;06R*8>kPqf&4t^!sXg3 zyyb<%qV~NwZ_jfNI?$F?O!A_$YqN7y!S&8$^IAY1T7g3=@eIwg!b&{JjXj_hEbf?M zEK@gLs48#JHgOB#!m5g1=*G$8(2d;8w4Btc06Xa<-6fg9;ABVdud~@CVJga}S!k|L*VRApay+;r@@byUz821q4~J zRS758;d>ePZy(nsI9jUgbCvnt|COeLwHvZ3H`A^ILubet?!ZuCk*cVsu&zYI9sA)v zGJ-=ekJDBN!^g7eup%3bP`Z!i!?_^tiz8UTLA=U2kV(7FZo5idXSW0S-A-#P3w{Nj z#x1Ip`*!wN8(l|0ir~;uNp7CjIl(!ekHdtIfqrddhhbmhzSf3??|2r^5;`V0C-8G2 zp!+swo#B{R1cZqcz)f(j2>j7O#ZZKi9kN3h(-{K00(PezY(t3a>=TKwvclWo?6?j! zLbP4j$>Kxc+4nnyU_25bKx%^sscYZxnb-e+vHdADl<>_>P5x zpDIf#N=i#L&Qs1){L)g$sB;VLEp^p(wY6HuDaR>(Z7pQfE%w4(?KAKd+3>*d0H5oW zaByI7fRDQ{d__>kl02Nt-)q_4nxIbDo@23U$t)7a?PuUwaDneIoL36}2_&4tfiFUa zAn?UGti?3u(<|zq-WQ>9P{VEf$gcA#7t|Nd??2bAb)dmE{=Qf0uU=8XY8@)wR>FsN zBLfiN2Ty$z&FzfXNgk*?ya#4VzDi!pZ9pg?WGC|4Kv;H%(9q*lmdqijRqPr8-i7{#0a<#Ka z5A34sT|ZkS-?m|P(&X__ha89P75E+j!zU9`_u}vNP>7p&4*P8`_~JPv#&?x#Z%=$x z0Jaepk7N=bf8zK}X)mnIE-WN}kU#tj3$rT=?S=NLHaPY82mZs~Zf~oy7m7Y}{zutT z)Rb4N$*aw+C@5IA%paJys7M9+aXkw`skXL?vNq5S%{6xW#f$#%HDzN(Q$=I3y>OSP zBQB;P24VoK*@;6T%HfdV5IzCM6%K|BhVbz;JWYAxgze3^6Pz33A9rH8EiP{ARDVt& ze)xgU1z#1V^kEjq555e8fJoOlWlN#ED>-F_g*&q|bJGh&`6b2qc`BH$^(^KI>T0X2 zYqckPp6|K@8%Z@yE$yn#?AHIo*qgvNRqXBKAkAX*;*td0q&cU`A_^i%0XJ5GB4sD+ zTiIy~rL^h3rEQvKY11T4_kE*4Tb5E4WZwiS2x8q)@hYHl-79m_N%8kgTD;!(zVGM% zH_{|0=ggTi=giD^d7ftyIjhwQxcS3R(fs)ulJ3q{k{2{UIQbT(B{>tpbN^YU_X^7vwhtHfNgl_b`YXRm)J{q|E5@CJ!g zqd#cHJIZvm>6|Iw1xR~&nWMOfhfi_;Qix(^97Aj)aHo)eB0q#H`mMKdbF;H^vRQ=2 zVBmv;+4#Vk*eU5@l*vE&JE!cgMz`2(7MnVsF%yp-?P++w|7v-X+Z(?wB z-|(ho*6{Fdb+_7=mXWfauYL@R9v*I8))ek1Oz})<3O{CTYVvcRcApmYC*Nz_E(~^$ zU|>Zo0g)MC>L1gzAaWu@9)-GGxE>E)aEz{EsPn)r19p)FYIyX81`QdH4=8}eMqssG zKt5B9(1>>n`XOm!@tl5Ln;C+#%^Q^l^1Zruv%mNQQm=6@C$X9~_U5k%z%Qh~zgP@= zf8qV#7|8q=jh`EDqWY*R*It!(U)Wpz{^Cbrw~Eq`h1eqeq1;n$ZQNS!-*wd;>$|l) zDtU{Fe5u(|pS-7>Llm54^d@bVd0by(#215ydrtv#`~HSdS??add23-sB}j>^dpU_i z)o{WWG=7XhBkEz$V7tGJT?ZmnuKWA7vEBVKTwptE)qaPlMA^oo@F=7|O%asHB0bQr zL^!34igLy6RU;+0*Hu*?#j}#raf#{v^dHJka0F;f@C*j~i)ZyEBf6^L8sz)?e83)T zib2jdUDKV|o#^|E#?9V(Xh&@H^TiIHMxoJHz#q~55^kb^uG{XX+2P%Z?nE4pA@gM% zE;M=?eLeVt_9fWVAamn)*s==J0r#r|L%H`I=RZmGGWI}-BQ?155^{-Q_FUpE>~WER zfyj83q@x|f<#GgI*ulLAbz`R<9ws@3$D?FhQzcqZqz7IT3RC6rJ=8r z*C}53n#6Fmi40de>LwDBhH?;3oQ!xvy!#OBQ)FOl6lXa$-n`ectPr*v zko3-Sb$L14c5{@dD9xFes7f>>;gswwY&W(sDNzLyL@esgShSB@J2moZf02*-O+qxD zgPwz|a;Qy`w>C(P-NUJSh%oHbw{DWzG7?K;h2g?5e7wa@XvpnGEm>>I`mp3k^LRWDvH1T?jtan@DV9 z6B+cTl=jWjkiHT!D1_j!H|Zd3c@Rl)q{aGS>LAfbOpv zKRSdAA!3;yTFATI`*{c*atr;zyNPPpM{M~62e22_;1iA#k#G`>6bB1-=eswvzBTw) z*0UOEqc44$JdOT5crfc%NOLyGgqMYvMdZmBaRfS-uIp2wzYL>Rfcpt0Jq_p242pl> z!OdsJaBibJOLTf{(-7KMbuWpYP%ivB>{rrHMNWZcWd?(%-)~{_zvhH3o)t=AJSeU| zGO{a3uRnUmdnSPN`XeK~{wPe~py3c4*S8(vSD+aXGq|$){A*k{V!4OOVNqRONpp(| z^nmC(ZqkRar^0*fsc62N@8(205-SU<)p2gVJAho4ee|)YuJ-;BwH!T6-WDNu^1-3= zSNNXuU>rV)D>{j+LQ86MbS>A-yZQTeT6juyG(TyQC|XB;(1g|LIC7Z2Eka#hTRk_3 z4IM#;=6=9ZHS{n&EQ)65u8ZbAnk3TIHG!*zz>wQpT3syr-n-TJnUZu9im%`Y_HcdF}k_D~uF=<@})!5YYhonVs3Y zQyu@&N21!gk|uVpN&cetzs?2A9p{>aU+>$WI@q7M!)T0NG!HYuk--+#>Uu3yT{J%# zSMI&0p7s>!*lBt$Du7w6z=;4~fYCOrUlNOZ?b9&!&kH?^7D+El_0vhPdbHBfaiYJY$^ zPrx*ddC;9L=n6IN8h2-ztUs0bi*EHT#vj~fim4&Iq$)n`ar+=o8&X~P@`35|dVDcl=B09QZcH;~+ee~(4 z5nb2_2K20<$h;5I++h%^t_}vFLfRHi8t&XzCWgrnWXO{|Ka-B5uX8I_uUWBtjWjJa z#gKqd|E|3i&XS^Hp5&7x5>JMbyJ|Lj3NEr-d1Dj0g=k#l%B5Nk`4L~wjL+!WASvDd z9Cgq*dQG*(w#5<3<;68D&X`Y^zdTSC>&$W`a;tV$ZoT-=^CaY$`rw^eNk{mtw|+{x zqb9@2u!C2Knnz@vBP+@3cG4~_Zg*a4XJK||cz9_&G!VKYj5^r^nLyWy!bIQIsU)`m zi+PRiB62RrV#*QinX`AqG@9?xhI-^GdW-1kYh)LdbC#SuizxiUmhavt`GU4ZkOM}A zd)Vbe2K5!RWDrs@7!!~{nMilhS@c6S{SbxDBG|zH03z1_gjhy?E?plKJN{Mhp2<#G z?5FF|HAlVz0{!DZ(5I!{8{lp2h>6)j#m_y5nPipB{Vn{}`b=aPIdU3>-Xv=&QBy*1 z(zO^*XYpyVnL1GK@FSGC`>P}yi|G&XXy*<%rr$(M-)Cg2>Eprs0B zgP}ULhGSvB$H-&!(JyCFA73IG|HF_EF@TJuMo2JBqi;n`roO(IS86e_#gL_Z>!H@8 zdyY$sYn;^$Xc;yJ5QPaYFB!wScmle3N^ci0DTRmtx;I@QF$*$fswFwSw}%%L^NGSL zk;7Ktw6h-W=rA2rxJ}JsEo2(`^;xzoQXOSe&z+O2(s^lACr_J|8YRvA) z%+D^c_~lq34}eGvf9DQ(R-k73G1^!WUQHf5JHTc3v)BO4P&=Kud3GS`?iA$Pi%ms- zG|)W@f!#58?zEG@;C8?M0VWw~YlmG73RocNJRxgpZ-V6&h@XKj@_t5Wzb_I|&6@TB zWWTH%dnqyEwE?7v4INC$2q+Rf|JXy&cI%XEC#~E2-t)a#bN`^8eKD?Ug7r9WhpZip zMi9^3y6(RU?I~-&423siei3y4bLanCkf|CqXB26Z#yz6zpprZ_gg)^lOOorrLq^Ph zSUXE#p5qUG-}c>^uccjG-3OI0>0J^!EEwU&f6V9CKeuj#c8ru3gN_=!mmE`L;D$iW zIm~%JJ$rtN@NYH9eEs<71yS=O7D{QKg|kLdzrRlMDaMOx2nh7!>(17n+jT}t`kc9V zi}frZ-*&i-+9x3?{8imB}-hQDf;E;tR8X9et2nNnd$w?yRZF35m(} zC@De+7L`4^I;keN)!ypdS3oAeMMi#sRDo1#eEX>BsG12nkydh-_j;1d4j2rpnucbC zgwRkI35F>l!6wgeME#En^O4{9m>d;`bN5_s@N~h%_Nv`g*#t*Jyg4e%GfZP8J@j4Q0){MqSXa@p0GkwiYhWH)s^sI;KZ@h78Ke` zfyH86edNLZBI?T{-HHMCp>j+B2{1WmE&Y89C*K7KF2gz8*IhDyj#>Qgx=Tr0S5NwH z-KDzBT4QaG?vi{QPAALhcANgend4zG<$b1djlMPRjCH?SE zxUM|3v~V+buR}bV$`%F9=jpee08vsxGU&dmkL&kwU4VNL*{Lh%c=D|fAS$aUt*cYf zJIK_e$vkau$TD*fK(;%`P5gN0I(hyYc}(r@5Cc>|cyDY4;B0o{eVYFY)!cJI9_Igu z&R`fve7qW#2C#(wl0FFfV0VS&Dttg#;D3c}$nKsPE^(zGf~r6_qAm{(f~Z@U3!ib2 zOUw>Y`U`plwG}KfF6|@k?)e$nakeX>#?-}twJtAejD-@~@U(Tkpxhp^dDFTGX-N;Znm8HfPX%B!iC5$rRL&dbFsRz#AdJHhgD9v z@v92*Emp26xjB8WMY`ZXXnTk1K;iz1J>2gw*Pefoyp|!&F13`GsfhIZ?}_yM>8N!F zxFfDZ6>W7%%fr^L+3}|1VBvvsDQ36D0UGyQ2p?=C$$kArkC9CButwN*Mn>k5*EH21 zYTgyz{GKQ-lP@&wEUb;7E1m#miedm5tYJnax$ad{m<52fjtf| zT~nr^mE8ld2@W_mx!{Gv!1a~16NShPT#}f|fW{#%B?RculHx7UDuNcpL4=kN(gjep znsr8`gSDuE_r0IH12xC zmAhyYDT7*HkF=TY`R8>zzJIwomdEr7b4c`Q=SiI2S4AS|F!C(jMz8n2w&B|_5&<0? z#mP@QIrr%9(SYQhX>UK{1@`hZl0@FQBZ{rQ{#=8)_V(>s9{pgOCOh_UEL!#!dr}pT zGa#dULKmK*BsdZtmvY*I`BSIOKYNX=$7AR7*SC8bx%2&VP%lET@g-$RdT|O+s>5qD z8q;>B?(}PH-Mw#Ds}!OW4yURSLqVS%b(}p5BMJf^W+MQqvKOL@q6&B9`{_W9C@~|E ztEO|rDQW2`*?j79qt>`AG9xNIDwRrZ`sR5Li~#udACYl95)tq^3^qev7T2_K_ol}6 zsZsi<%pLUkXkSFdlT%f6wj`w>wZzPk;nA+`MUf?uei0kCZHm|^h4KaD$0CRz+bt9ZLT*XdN{n;aOE!w+oRzx`lwePMlm19`sAw>Y<;v{;4A|1U~%Oco*| z-^k<>D%Sp-QN@uH2t?%gV6%Kmh)kY=pL%|f&%sX&P!0w^9K&uISa(RK(GL;7O1y1+V&ot2&<_2$EwcT0N3d7Hq*F&H4SI1QWS1z&0=&prF=_Fd6?qV`D7tp=xI;;ZU#v3%}Hw36h^ z?R}M}_yf>Q5$`23HNqD1xz(iKhs)4H^11eSGjJ>18@k#Bt5i61bXIg)EY}iVxqhW8 zJY{8UG>3iOwlt2~1em2oi9^pNo((_3IcjWmwJMzASn9E;x47JroYE3idu;oLW1L+g zf9oWfn*(+?XnktxBc>yuUa^c0;?pBu-nLy$(R6c9{?(8>#jQK8jM}}SWzF7@1MAp|nb3H6p8|Kf2UJp_-Dkw z^nUo-U+JDnlDcO~O1lD-uPYdJVIj&?m%7sCx(hY_9TdsY{mLAHD+IHS#fb$E_Ymr6A6=HRA6qzDZfUJTj*pk@D7$h z)P`!hwex{oLgt#KS*G;lji%D6-2vSJK{6KZU8HdbxC02bk@En1!Gu71Q^yk1ILNJN zX87e!$kGC&yt+7O`=(YqfK<3OMd-m=NhA~L@cz&WaUn>2_78y5+M`n;bTEuQQ7B#% zR=b~6(q(M`9QgmJx{H=gIZE|Ny&Ge9x;(`D=~3N-mX>M6!vI+DOgC@5vdnIW<*h42wveq+9)&bonRy7rn^5h8L%v`Y@9B zOl0u?mC7F3E{|5w`WB}pI+BnZ@`5q69xYJjAZ8$)0(TvcT93>Z8x|Orj-!3a6aGH? z;qnu16y^}bXB1B&i0X5gC;&5+I|Jk|AiSOCUamy6Y&m1Njo>0)q&|ihkW%Tlhl-c2 zj9IRh&kxv^RNKhERrAJSmE2x^J?gXTDw6d+X(p@5bKE;`ebjVir?lnkn|r@g%Z&k; zU_~p)L#?f@R&}1;YRTi}&PlGMoVfVa>8n?%78OQTuHeenyXYe;F+=1k+x5gxcaB4C z(wZ_#_8lrXd`R{Cy6aTTZP=K;kv>R8N9aRpxn&aVH)zwk!6+@@)vaSU1uc?nerdP!rjde;9Q??q^o2Mluhw;l}!xu)amWI!Z zpF2Y};=s5)W4W3+JLk1%JLv>O5Z96kPn`~ZC-Op!bnA_;Hh!mm?|fy`JN%*gGfmY; zrKQbf@9$%g)BA&6S0`gBu#w0++;xZ%wF$&nW$o^e4E-P4!^p)FWYxXn8wjE}(4P*G zcwP~nec{FnV?D2Uo)!7~eAeZX0JD~>$z(y~JIWntOVgvd*SFEfS4>yWn6tBXHcz*I zPBTcxD`dM=_ip5c_f%JpkjF3Y<_hYL7d5Eu4y)PDS7d!ihm>uX7RJ};bZh7nGdHN> zDxwM!xDToCt&zlcvNXM-KB21h5_#e+b!}~ozLIZDB10xS5~R5pS&SF}-4*By;32)` zFCK~Jpj> z9NuWMRJwgdl6J0&`kWp5&-vWq+-0R9byADfY*Eosq#v{|hi>BxkrCMu>e#qkTO8kp zPV&$Q@{~y$Nc&MhNr$N;qjGFJ_~*fZov@e$tA$(SQ$a6GEU}hYO8AS1PoI6OT?(9m z`yr?^eoc1u1-#{*eq9UwMV-pL$PxLpj~au|^I%Xocp5?T=~0s3Z6)uxt;8v5B}YZb zW6c-esC@^nJQ*eKKgwV9nSa;QWHO)}dx*Z>{VLfbKZI<=zY`$5JRU@(NZLlu4dz-6 zC3RJmmheKR8mGfv-OHGxOPOPLs zm&x0zuXbNKdWy@e+VSZde@NS_$kRius`3k$U6<6CE@vcO;H~88pW5TNH=f)vJ~K{w zbkXjhaVoG!X3V4$c_Yvb-3jiYtk3b#mm~uh27VBezxZL(tXq?6~(0hH^F} zXW2}4%ndeBd&~}#&1lY+?g_<^4Qh|w=&(5RY;A2*9Ms~LJY?RWRm4PEOaXJV?eI2{gG zE`GvPC;d0C1I@2R&_atmLYG!a25FH0=??q~Nd?JD%`nDI0awNKyrv!0o@ej~;RQ)H zyt%v-8GkX8iv&zJAsKpiKPDH$liXG*a3aQ{SD-+0X zn54b{OgD$-kX-r&d7A!KA+=bn7FKFn8lReGNJ6OtC1DNQTg;sBX{fN?v%cB$sWddV zaYu_9Iq`}zCs0botkiNT%d26i4a7eH%kjl+Ac1$h-x1KLXV^NV%>k9eUmqF>(hvnx zoiNf6S`4k!A@Qd#2s$MhCB%x#?Ult9YIm);qB1oR{_ZGGtcXm<@V7IwHnX0i%Y@%V z@9Sn9oviMz6;GbAd>YcE%RIk{GNUqekt*8Z)myzNtL{>hfAl3Uu+SPv7z&m{4TP=G zL3JL5+M`>AIO1kNg2dBk%-3}KIXeCJSW=k#F6sZ|m!qz~PbA|%Zv##Kp@Zb-2&f;f zK^2Bd5%xn#h@D(paCR!vc%EOBw1ljr4y^FuY?P8(32`xxa)na6~2q< z9D{ckzl!*shI%KNbJF(+o#%+EjB7CX)o1N=R#YPS#`z*g$B9ykD>EzA4rfk|gRgg1 zRXOU9ka@mj&SF#_JNmIpGt@68b9~9XBlV7|Drdc)!+UAc{$#kby;(tD>j^{r zaqVVDJKuKrz~SbT#nnYMMK#je!sA5Rs78S|J_;X(=V;i>St_C9-*Je)f)E~=xU|jr z=36QtP?Z0qqdC-sszT_*5%c+ND?`_9UMCHU2pY43InD5xQIqc8=)=XIHpN`vH~#*| zR^p>Z#G!hB@j=@gQZil)m2q$#NC1Lrxa4C*jsQ#$QLab7#kI4SJmN(>4j7;0dzaGJ z=mg}eafW_VjuII!k2qABQ)#Q<*4FCI9#+*k>WZp4`Suq>o8k|?t!gTHySk1w&h&Zj zT)lGP{ChkuOCI~;#bK9-LUre(rW-qtQIW2QE7BF|N@AK9A6V74N;;+e+NeL&O>h!{ zW%`k|FWL{a`2b!|#Jhif^o zxH+~srYNRJswi(81B157>**V` z-|{Jx#qV~-$LH7*__ewPx>f4vXh%^j9~!VfdiO}}z67dHKLQH3jE&s5PaJY?u7xY8A4g2Ey=^q|m{ z+oU7r(}^KerJ|$1fiLyy8*e+xT3NG!+KVQ{s2G4ABP9VG&Wsjr%{yGuQYl4k%q69k z5_Nlf^}%Dj-6E3j+fNo+ekUq23--LCQv-7^ud4)+>KQN@^fHe{jCAmPk^B&Vd;kZ^ zXFyhQtH~t|N~HMKbJ{sxd5&8n8ORWI zBY6YlhZwAnox=-Vv@__U(t92TqhzSco}wg?C`m$5M^Yz4VeATU9m8cz@8f=Pb_*bj z-vP1+OUm0O-ZJO0GUX_f)f_ER=WU6e3IY7sbJ;sI9*YFkoZr(d-rCu7{#_hLOsAoy zFE_i0rj$HhT2WbE3j3P|lD;EKtPOX|b81@15ZsF+WLooQUu4w0-PqtdQk8!qwu(qy z@-Lol(f@}j{y&#^kbi|e$WBj%ve1bPVs@d)m7SU)mH&v%S=mtUHoMHl+1VKl$)O2} zxzc<~RC10g!vYDv4&Z4_}n!6me}HSdsd^V&{SlxW)`I;n+x?$ski2O zN0K?qk*wF-Oy${``DqrDF+C$U(~(-RJu%rS&B@C)+jvu&!I_oaQ)7b>_z`1qR7!MC zq%^L0OQoK38F!mqc_j{Wp}ojn>~NIkyqO!e#h73M{KA|jHQVhuc6FZ3Zc{nZt4xj} zXIe={Zi+M|w>UXool>^ln9CQ&Rb*BbNHa|_dNY@9j<3!uv}Bu1CUbgGq9dcoY>RAj zP9dzilg$TFurRRbG+d-Lf3L#kA7~7p62h$Bg_>K4h8m_3%4P zx$7G&mOQ7$nPr#8Cl~BWw;||-Xx6#g*FU*)Qkvt)x8|!W%mvBC8M*fCe3RXlUzF>F ze^H#9pPl70)wa)zd?0h528FpM> zm{p`tPIp?GGmNQH2gLC6)hQ`{U0V&7YFoLr%Ft6niLn|_ zTb`rRuj2@_buvO+lsu`#iB%pXtn~$S=q*thCunr1`bsrgBw5vCUG% z6(m;`Ik^JIk#tv1a$@piC$gEKiL+m+jpo{)uWF+1{{@E~2rTuWh%!-DHd z&CANmC^Y3|NS%qMq}nW}xw6obEX{)xnxo1|aU_-J0&fv-HgQ=Q$+;OulO;OVW=buM zwIeIO4Izs;eD(9 z#i0;iXpfM&eT5g5^obKsbuJ-KbdT>I?|UEV`3JJNmu2n=?g=7ye<4U&l~x)TN0aH0 z_%Mzxx+?a-}=DwmHLVrl?oQ0E3%PCPMaq`bEC5si>{F2UFK$ z`2F?Q1GkA~qg~8NMT!;q<$Er;${7Hg0Epe2awdxI4&`Aa|9pD?AcRE~2(+~VQI+KH z^J%Y`37lUs(=bW*r2BdjB|s5yK>GJm$J~h$AzetnFKWUNHb_}2KutSA9;2P4uZDJlKju*+X(T|_ z_>1~=#lgp?gD@AC87|8NZM@6_?u{-f8Y;~?rqaxQ^##-qFZ>6+b8n?;{p!4uEIkSx zBvQtHA>O^P-(lJRw#*9Au;qk&Sux%{QLtAdWF$^2Ve%tAXF`&^SA7l%CLWYG5T%8i z@WYmT6mj#GswTI_R>LKStjSzO)dO$Ds;S&Y>t6;Nc*V~=QHkIC{QE<{+oWA*x*t=L z*u~^$dYB7EW`(CK@p_c-p?@tvF!t`VJqr*(1pZ%SEO?gwKHVFUNdel?D`+M_f=zkd zM(TmPj2$?Zs@1F31-WkjjLSE&Hl zZyj0BWcVQgw!5gdx{3>HZrpHOJzFM!tk3ZcjbY7PbyaQQE_HorypyftR*!Zw}*Q<8B_ zDZ3}A<^KAKQz8~E;+fpEXwl-WlP9Vs?0W6Amh;we(Wwu&eXRcM!=^K*`EN#x7HY#M zy{eMe^qIJ8%Be*h&|>RF+EX3dK2f8mdJA2@Y#&xao)iPMAq(F6OVXE42) zRE{9fgo9ke!P2*nlSWzaeBFjM9GN?T29qafm>NXHl$_)o=;jQc`XqvrK_@jp1pQMM zz`|91?=V^b`9|rnx?4oTz;?+uz=C6~xOUG#vB%ooBBBpXI{7SlQf&l07pAy zZTnt*=6GS%Tf74+M!K>{|0%xm%s#aLl#DEcAuGeLYR%HZh3e;qZd){#r+ueQADS`P zFn-s>vx}um&wLztQ!Ss{=ldUbpSr=52j0K>qw6(C3P@^}_pA z7u1K_(xMyq3kx?6p?!j+WV+y1LewNTH^*l4%Xd2R^Ya@Td_P;6k|~NyONIK89$+8( zvXTZ4+tHAjpOv4P?`O(2=a_97`M!w9VHH|NJB8a6+^zF;h=fjbea~m)b34SDY+V3x}2Jp%gDBiFvQMZ97*WtL%Tgf&op1gI_ zCf+j~hi=-mb@F0WH`F6=gwTdi_RGMIoJ2I$(?&y;@}I8K6ZC|He(#>B^nMaD0XXS7 zib25`zz>R{LLm5nSU~e9ID7Xxl}wfbkUu#Y+4GZxO*4-Yc^B5WA~y19-#paTf@!LV z$nl6LlVQqlHr<%@E{9b9r=o)!7S%3P(+9?kp$}+lwFfuw!U)d@aHk^y(T_>#oKFH8mN@We9wFK84Oj{SvKe?5tU17cH(ou#xL7cUOp39NB*9 zii$i5)P#gQb>-5wl}9+?H_z|hQeEomGiQ2A{S~pw52ifRHdqZT+AH7{Z5i^$GuK|@ z-4)&CqS^1>*a$6!kw~FEL`L!~k*7d=vxdj}2^pqah{7ob2yk$rGy{YI8fT@ZyMrmN zQU&YN9<;RJr3px?T9Z;rc+x^!M8&D)>*7`S7$mF<(N>BzELpG>VMlMQ6%MqrSIDE8 zH1`U5+{1mu$cfdRunemgh}zW|ps`{_tRXVR4R8^)puST$T8$ z`04ScKPtiJ2W0<2A|KQ#pQ#rf8>hUw=ERIL?gt_feS>8mhyNjwp9(lBk=Fz?HRm>| zEs~H8VM{l!YFOyoW@|SsRIT5XxMkzIs`^N7!Dtb7U45uM_M-atuiu3>UaniBd`c{T zAYd+)OKhK#ZOvq;>ZeyukC+&=VR{&MW1gt7eAn*1>gMW%P<|YZ-A-q#5^Q*Je2d^3CNzyBE}~D4|cajd*j-A?cb!F^7+;&ea?})XKFUx={78`txhs=DfqV zY~CBxGNi=p`&CwvO=K&}1v2MN@B&=xV&NJC7G&Ji9XMe zm(3Mq)@HQoNx*vF*bgt8PpiLt&slPkKUsXN_So*Dd-mKgXNwRaBEhKNAue_m@#ugiCkZPb|V#;zZ zeM{no9qZHLVq&-Iwnm2~ZP82P=LKg3sprotZJNuks|nwuYu$P(>AmdhDWuugLJ~x! zmdZNSr+II=3b^v(hWvx-H`{EEgS<;(ZqF$ZS&}0xYtp0Zsl33fU1(XLPFk32 ze~!0p*qF0Losw#`r1Ca&jzvYLQfq}p>My$L-<1XiCuqiEd2XOAhKal_@JbRZNQgJn zgYoKDHc$noVWjeDgh7E|Tn`1c<30tocg5e1o)v%bh_f{$cLKHJcI`y6%V!J*GMI#r z#O-1$D6<5Ph$-R@@fUCGyAyu^*xA`NR~c}Z(F^Yeh{%Wm@`70YGdKzm@^!s~><@#B-^0>eNJ0flHm`__ibB{HK#b)g zt+wFRsVcHpGx^hkV|=^#Z@C%8-@Y9CH2p*GG|}!JMP31efZ@P$;W<1*>$O_c)w-wtZA#C(ml() z6o3Bp&(&nek7O>{frJCnpL88fK?Z&bT|A>|<(^G^Nn&o6F)lkLGc-HZ7zZM?QyTEr zGJx$E$`@RyQlSr6kc+T>WgN&-uhJN5eR2Gu<2$(3bXrEJRh2X^Y+l4FY3%zS=s!kO zn}q^DaX*8lFb4ptG!(BK96kp#;KLdcEY3Qeaku6+tMiwnlZ!rT{Q!0Lx%AcbtIbPh zPhT@oH;j83b;e3#gZ>5H$9624>q8!eV0a?@tBF)QqiWS|)Hx~FV2o#VHl-Tly>)&P zb%va-ifkn_LB8oGZ(@PgO{nd0&>Ett>7@y89gpPJ(AQX{$So?#VJJLdX;MB0~bq;IOJ z4U0ssN2|DiOA|m!^iNcF#LqK3AWFk^g`X*>Xq|%vmCe|oS#ThoiL`o$y0R_Zl z0qri}_QkbW`qd?Yco!TE2zdbyi203iDcpU=AW^P=9_#&uGO>dWp@S>|;w^(IuXr(c zOP~OtOqJdHli^+ZwhKUYD!Mu#hw0IJwCMK+7Pm%tfyt!;_Sd_g75fPt=(b?LY6a~D z4QwOOR`C(ERp`O7+^jcmtpGw9V5z_Xb+WEbHwdVDn9Pt?_jE#eU2(4y;5|&uJwp|e z{%n})PQzOqswrqQ*l3oDEy3P;vkjlZ#Ybdj*Qf}-&1Z23ys(u1*1@eZXyPs zQzo4~Zs0`P*DJP8`wsm0-Elk}M;@ZDBDwrB5pAju-LYULk`XuOwf(ejGn3GwMzGj~;E z%eMu2238FJh5jPSKx98vg)F-(gWJ6=rg4>ehYs?6{N~UVn-}#i$|%4c z0;l2Bz9aiu_=?Jc+6L9(?KRtWa~ZB8W3jrp$nJs@iTbfXSY%|<){R)x%S&JX)6?fK z7WZA;Ek@$@KBDWGGIJ1AmIQ5(MwsM@QC?cz@>1-}k%OO_J!t3PowGZ4{#JAS>gmrM zzX*@}x?1*Dw`2e)*^*JUB{NhioT0x$pH<;j;9xC95uinBmE=Rs{WUD_VvYSfSD*Jo^h> z)_v3%TO3#<5k%ms%5K^Q|&OxjhJF!6tXXJZl+9IyZ!>?R9DwnsvjN%!w9VJBNzeM zy+`9foyTh&x?R9FfyJTl`l^9QzhXH8QFR#r+Ds zS3mm1(Gk-%t+JDMBd52@*kTod1A=$VSi78ykBLEqaO&8(Pp4Cnl*WtGiD>T6Q*Xr8 z##G1GNY@_S@m{+M-1aqCm-KaH@Ih5sLm#Fq5&9W`C}|Opgjn`~Yc0VnTSBD%zzhOXQLgGj!3au<~t<30!81F)>Lczcust)^ptahI1P)sxO{9 zaIS$rcYMz!Bn&c3_{NIz-OZ}HjM}7fuB_ZuTc>JHXo@K3^6%cdd-Y@K)sI`g{SEyP zP5hk<6A2LPUZE=gu4+7b_(Mu zjzI?o4Qp6$c%c(t@4!N)x*TBU@DSWD&>g5u1ksxV5UEpK(G!&Dq&i6g6x7)|jS$`c zo&1iK#R2bAyYfw04xV(s=6piTX1^)ef&(7jgXnHV<3tRDP_F{GQ$nGX_ekBuz8!IS)^gU^Pp~ww*BL z5jI!BBpR*BGFmJ~t~F-u&K2q`+1UlxYHOT@mAq#N_7;Xn^p!P+TF3-=@nVWmuY_&^cyLm?hAkz}3A_aL_-NCxL3E> z@)d2cqS!dC@FrQhI|l@l6ivIhi=mLw;>e`H6zbFEl7Oe#1}bSVzO^%UYW3eBZ0@sw zu>D`yw7-C9+`oZo{|hYbZ;lT@X-qtp-BnK%bWASS9ZIU zup-S~IoNi%pK$*FrJ-9O7p@;8>(*h7TZ}RDHBIf3f8q&ZX%=W*!?+WjWTP13jO4N= zV%L@}SlpcZ&u`rd$;&6Ed>qMjS7AjYca`MhohLf3tC%t~Xvi)xStR4T+nDGrQ>g{F z1#{L%8bq;PVlM69mp8cQ0@M%W4KHzJD0(2(DZ90!P_t0%?{ohn3vBit%^vfYyf7qu zU~xdAyD!J?YM&!RNKmURPcBX5g2jo+SQt8((cR0rb}SQ(u8vYVUf2Bp*y;bHjIo;O zOsx&;Qjyi5jT#w`6xKS>t&IB2%yl=+bu-L$Z_U}@Z)SayQP_TBji8W|MgLj%u^PE_ z>I5`jcN@xNrgu1knA*uQxk1!K7_k@ZR#0@j>H&9vjRRVii4Guw$wUW+!Aa?m$z@uv z0zrpFo;^))HQ{zZ*+49h+=EcF7E^8;ylKXE?Wr6*WUt%K>h}$*)#}xsU}FeID7m{D zeteLo*N@L}*s-cS^W%NxcTd{$3c)&&VrgG6lNBBp%qE39@DfC%WK`!J>k!buRM)0N zF-#m3&m8T5gTH0D*TKJg((BmeB!7>7n z$AIyK%ArF(DuZVRkIc#twWulv5&@@|-_`%S2H1*9U=yr69m~yP%9UW_J;i`GbyGaC~d(;h9^TFqXQ)@jnocO^>r&q`Vn_fX1_0n`m1*M?0IS zu3Z!iDJ4t+SA~DbhJl_h4i0Ze7C?R-AE}n;M8m}4;UcPS3MYz83Dri!vV)XPv?!A* z!oyL~rf`wG`HmQ8(}^H59f;#W=NI2WdDEGKRHq2vb?v0HNd$!pYm?PWlE*{z9dg3B zgFVdgZuFPUgM$Bh?WAi0QhOBjcSz`va}+1o1`68(2DM9#o<&T^61!GdoUKI zVB_K>#9Oy;g?~T<9sV=csL+zPHT}Kp2(1!AbR8ZSc8tV$vjc-Xth|mL%xgpxCorIg zL;=yd4%)#)>+t4Pt?K|`Zwq@6@zp64+5$A)X;_!J@1d^c{oKfUE5DF=G=le4Aj7O2 z4y$Oue{F+R!wxFOLBee`zMbu5hiKoQ=X<0#oTFPa;+t~U# zS=_N@ySz215k6xz=tK?J$xnH|y4!Gam=9z_4{9JuBeazuhnc^HDLWZgh;hr2tKus*svFgAdV_^LL1oe9v4<)!|`}_yfvd*_qPn~&EdoVR+inw z9>2)$xx8yJAt3UR=1p{abk&y_KZfbdGT}Se@*Pch3I#QU z+l+}A&#!A4+RBKr=vLh0?Qkm(!p38vG`0!9%5{B&TJn^VLD#3vUoe%;SJ%#-d!G}G zbe(bv8qcl8o4-%1$EdtE|Ln9anrUa}UxWO`y`^38%5Pr#V05Hx^arnf!y%cz9_bw? z_QPSQfRfw*=5u!+a!)4gL}BESA-~W^AZvwH<{@i^pn#q{@(V<;dL>R2z%TX+llhCE z^-7Zofl7ik(qNJ)4r?bGxl~xxv71l}-%6cD5Km=eEp^6{im*_B{!gvnE+Cpvx!bxNe z>{Tpc0d{-=Ei64bt;poUAGe*#d_?nT!3!YOC9H@^T z!hcU69&(kwpbia6oHR+bz%{=@%MGJG>w(xEqN4o@=|jhda0uLL1f`CYt05!tX9Glv zefeX*79!Z%57&Z0uM5mSB;UOK1d(5i3(U;okbPr9Wqg;GtY&@XHu?$cecJy+U<4(3 z3vu<7HeCZPK#*j`e+a)SlQU8?^c-a9{uHeZoffuO4egPbt6l|+xbz|8)zEBw8Ud9t$9PYM z5cHyKn+E+NROT&^oL7=D%Rr3jL&pOq4LC<1I%XNK53StNqHoskt1N7h-fjNr0|ut| z`RTQQX1*|VUwlhpb7AFPeTx(Ye*K~hHN2+z1U8MJ-7JHrn+`J*LgVOuFM6FJZ7^xW zD5gc=7p~Yz^vOdQBDF}dASa*|%j4lb;DaPk2AHp61uR}TbqH4cHZ9y zGjAaFkw4j|Pj~0v_H%dMLR0*EzkeS?9?{67CiQv!Z^f`pBkj$St(@22Vv;fqjyxpSR25^PuzM2`o8C-Mqr~?`-IdH1t^iw zGF0S4P6XHZ1;Z+^nFg|QY09wK^x=85pL#=RK2{alULraf@bqyyLM{IitnOEr%)uJ; z!X0R>z&5-{lwiIP>C(k_`ItA4rk^Cg$UGhi@>%ZPO8M$o+?CXo4eJiXuqBM9%H&_N z6^w{VM$XFQt4X3p{$)JYuZmG&Z6bLpRt%7myic8 zkfHC8#~o6N;Jmm&~1*wNS@4-q~@jCQytQ?&~$( zu05n>#}1^kJYouvk4-s0^a`6 z96KfwzUexlw3nw>B-&?}`zF~F(v69p2mQPL@Wrw$3FXFj6Mf5!6$SQk;X!}VL%#08 z-TYy1iXO%Vn^^osGclO~tg>9`c~W?ij7Hf{3QviyUV`V;1n^-3*#sir^BnlakPYad zyDFum^pcF^K~gr6a7%9t|AqRr&>0c5!IJDsDK$!=)@`+^iwYfucHUWx@clbv1CU{C zIn-L=W99OdMX#R+Uhx`vb>1FP*AfYo$3NOV_i{QBmWarbBIR3ero1uNg#}i9y(_Hl zOi3(BP+KJl2`Q1OJdN?J@K~nI%}81MW{98Ahu$6IF^Sd~%69Bg7nbDZm-50QqW7-G znpq0eyLwMq!&?S^j9?;vlDpo8N$#UP6a0PZl*RSN-Eo!DVsAz^J>3jM7yOHE#g5dJ zZO#b42xooVZl=xEA>LLMwadV<_^Mr9S5sV5h^0!+8c3c)J&aj5!YPb#Fi&rbJhvs? zibLMd65&*L-~tRo?%QHwC6=OMYgJmYUusdDH8l;gm{#BJ+fa+s$`E7HNhZQj?(QTo zsyZ=n?Z&tNN7#FSH*sxU!#1|0xeg%-@(^3HM)ZUddJQEeK!DJ}1TdJ6ZQOA0MY83h z<|?^Y+%edI4Vd10CqPJmgc2YLNeBt#jC5q)e~q1c-}`+3^L(F+Mw*#(&dg}$oU`{{ zdo4^D#t9J_>ihx^`irI)J@qfp6YF7Ey@1D7`U2(#TZ*sBu@oIQdeqM0R7!-=^!Pr$ zrxWloh&A*;rrnF}PBZq*KkcW~(#?I=(glk=p~sSe+765LFmm8taP6$z%HDA6(+yum1x| zJb9w=>$@^rhsBqbcDGBaNGy*nrH{!Imo6ma)an0$L3%6;oIX`HwQ>3hz#xC5KbFRp zCsrg0HJ1?$@)+v?!>l&f%4@4T!JM^Nl~N|MygMF;Z)<}o{hxE#B zpbfV;3$r$iuL!bE_7%aCS3W$93-}pri znC75zY!Fl~dpRi^VHGzUwl??*3YxxKgM1Cj`VN!G*U%UQ3iV%|8XKCi#$plyUowdg zBt3n=`tkyaByOUmc+e0Zm!6i^JXADgS9CU<(@AQMRY65i}8Fi087pn&=$&yPUEx zc-Rh;7*uiK3xitqM9UoZK%`g0N;%eg`^Iez!;tyb&3rP2}h+KgTIjb22@ptD}%PD z?%ykWkpH0YK4&!Np3Tf+j1uXtRD?gpAygutF|Gaq0GPx9WGOOYKlbc^K7%0~hdO@s z_(J9z5fB#61qG~4T`!+FF~9IrrP{a%#J-F)7)F#%h<9*>+Omvt{JSRJf1r9G-@8Aj zVY{+=Th;dF>w`}csf4CY`Y$EVt@A0pGw$@0)O2u#Cs49hT-5K%*j?ck)^=1JO3(P8*=d8T+U(WNl4LSI-&a!Ibsjdk~e9wsy2W0KZc zc$L$%ndMCjIPj+>?cAl=Ek~0GSx86+=@8l8CoV`WUPGOJq?}xEUn2N!u?KB3SR{nW zkB7bW7W}N%TW~x8_u))G>^+{FG;iYS6~T-k!0pk2nmh#F$xcsKhe=|a$UmaxH7X7c z4Xp_P)x7TgYx4O=q@14!Ger=3)uBsw>W2ueV8_FK*ORopfL9CMuyhx1LVP^P$?Dw1 zg19jyN8nyFYUEn2UYDV?c?=OHWT+CMp_zXO|i3Zw@LB<)lARuP;BMU!|$z z{0ld4k7LqIW~~{#6T*06G=KwsEAf@%8x+%C8$ZDp-cQ!ih7JO*A%w`gVF(`B$h`uS zN_>7|Q3fyrLqz`}U(L=z1UoM$%VZYp#&E#c?Sa);2Y6{E@CK!wUURlAt|$f(;iZ$P zk!EsB7B8B!aE9%@C>OO(jfe>iw>i6Ll8kX?)up*EU0OXD%?+7K((q6KYL24~8LG^r zyku9nrHELO0~{{&YMe>9DJRElFuPXp@7+9i_t{^~5EJxK8?w`E4?N?-cO+ZlKm8pU`{cIubI(!s`@qOJh=Gsj@6G z+dsvZe$jEug*+A`#6H22)hW%8i7-+o_&fWMJ}mKevU&2JE||seol76Zs{t-#rV~9! z&$&RS@f_Z}@>P7F&TK^TPg%?QuCk!4M@e#yoO8jR=Y+Y?t5?JaGa^r$XJ<+Kb`*r9 zLuWx?yo{&`jS73C2o~N>t^;0mPNLBMe-|ZHXyd=iLg_{Q-^cq3ZTq0@&f`SeX!X?q zp-ob?LO9s};Z;urJu@;L7A*1`-&#LoJI0BNq1j+@5wEnhQTnk+moA}iUq+DaA~IcE zh}7a0Uy+r^t4OrS#*0_;m~Am)H=0Hc!sF^@-N4_Zw03>TEIbvVn zCjQBR)PpHv5j_GbmUi)Gx>V#wXNed8^LZA1Zi}U3ZJ&~{4df#cJtCe#dCLM?VQGia zU+yLvi~2Atg0(7`jvwUMXu|SBK)r|H$w!RDiG1gT{3MI>X2HlyLeKJ#6w`kUUq~Ba<$5QwOz55w zC;uPbgojIrDZyj8R&dOD{O_WNo7D`eRo+=pz7;k@?*5+_P}W<+$X+3&Ei4`2frAzP z*C(tYIXyX*TyrWc)hXk_@-vZ4r0a{BSVJPYs>m^AnRMi0Ec9)4rSu}hgCEa;FscRx zii86EXi%L$vyB!CB%nZUZl+nsm&WoFZ4*mvAQ9bbUD_MW3^?2WC5ibzGgEozj!P_V zSOj|2stgtKC^ECv%BX@Q^pzH8$+m*ZiUO`8zXpoNh??JWsZbRlRUkYmGD-#EC%V>6 zY^Hn3-kv7}{iJ_BNVBab>vh(4-FBT^r`LJ>ifq*#aG7$*(nW5sVAs6m-&R-e)mMkP z3OT-=4_9?Ld-$;af#(sJHy^mTyVD+e_dD))^rXj~J5baU2*Xz%nW*<%=_>Vot9;9? zT&bUU#M2dQ7CrCWAwBeW++FXu>uC>ncK{E2x*Ya=pg(fhs49#-WQE@YJg>;2 z7Cao6;rbN+<7P)xFT4|uDhx2r4>350L$>V}!fUt4O(&Z(o2am0ve?O|)a8eUrWy35 zU<>@?QFX9pS|_skRq1tc<#6{qyM#5Y)Q1JpTj;{$qBDZc5y;g>zG{48g+`vOtQ&qGrAMArk!a)lzTg+)LDw2{?RB6gIl_4Q7 zSzs%6>C&7hw@{~tI5Z+YLWNAU%;1t}fwI`8i)&CID|RU<&#F^xW2#gU#i4MTS^g52 z3F^|qbqPXjF37<$t*Z;9R$>)8-haA4AL`@6`|v*h)di|a70AJy5#%|AJFC=Q|L=DW z{KvdIyL`Dw(EO4d0}P{>-@|J160}hJ+E4dG?Ms`09Lqsc_}ll@TpG8U!eg7&iG z3zoJa{>Hb#2EmOax^$^?#q;O8c3sf#@^%%}!*+S==X>LAJ82gVfHYfUJ7IU7OMJ0# z_k_fSheHSp!dij|T~1+=5|b#~cH8#<8Vj}q4u8NYx-6~UT8ZgCcOS=?YuDG-WVZy~3k zQe7Tf00u`WsuzVABUP>us>BGWWjjm43L~miT&1ekSYCt?=$1=qfw{aA)HAklI4<9M z3{_Y?R^h)B-W`UJmmWZzTr%@DMpzArwEvxCIaoK57*?B?mY0&9f+X&g3`RF2Y>XWI z4gG&3BcLGkp}4p(zc^D_O&pCTtvNN%H8&NB-g4Vov38GcXJ!+_$BRq;*+pzLWtdZQ zUGq|tv#^V=m<+l~`aC0(Z(fTv$V<~o%~_@U$Y>X1p3amGx+zUgijgs-kFDw_N79jr zE}%O`DF;DmL)>3+Rjl>ZZ#MWdbA%yh$2LkLjmK_h;B_D$E>+Mo z#9#dCn`=b$$D>&~1DBHq^+w3e3NWlciPXhhsDtc0lbs3%3gC?7G#By{6KS-Ph7FaV z!Vmi^ez8dh3&%OQzrwl*ZZ4o=l}^`4?(byPYv^}cy~$rJNu`_a(|I>J+V>>waqx}o z*^`R^M-3+L_C}+5sknAVvmq}h+jO4{bjdByf`~mm3l8#bbnP~V%)o)l0Vzm8Qs!(4 z-MkS{>Y;R=jAoJWk!1D^5CknFPOFE=sHo5KLC|{WO=Jcw2aV6nWF3Cf(=`1-=98Rc zh&3l=ry?b-H%atk=yVAf^h;5Cyn;-Z5Z`84xMRsWS&xnmOlT(nU)Y~~3LsxE2Wv0u zQC!B)#Hy2#hy2?Zk}zKJYAO12d}FR%Ul17p7MrJ=-FGW(BR_T;&|krSCZ_g5wA&&I zO=w5q5=kZhfS?vrFY+;+NygG;OiGR^-7F`|#fAB~aH!?vYl~7$@W{;vjgki)1UcfU zI>ZP**iJkcnEJTD@c=WvC6gYK$@a*AM0W1WUZuqb1^J%r!`J#JF4n$>WZ!tjUy@Rx zL#F;>a)tjU+pI^{wW~Q*ouiV|rD6b+lYlu~YMT(fHe!A3I@h?}ajjtosXsr(B|lY_ znmt=Ry@`7)%gw>yhz7FuNQKg~Pz^HB36!%`waB%*JBd$n(?_6TWOZOd?%M zwUUh+bh-^nq8C2TrP&glpPxPeZd>YW5J~6L2@)bQ!bFx`tnl#%|6nVUPxQJR5RU89 zhAll(=#1B0k?1|Q5KL9C`? z3`fpM9+R3nItTeFCfpB#`kNIV+yHTMQF4LWEWkKj)aE2pf{6ibnt|opI{sn3MU>t{ zVQsSs9}%_e(K&c_-d18e=ZBDJx3;rF@vhRYwg5gr(p4#A3#Jp`q(!O!Uvvad z#&UBQAbw^;SsiYpvKOM{`2WpXZ?dwmS==mx|rV* zMM9h)FYbrFv#XZm>*b0-%lbQ@p2iN=zQUd%X!8f`<3`n8J8h!LcbppCM78AtK4Ck8 z=nev7norPHU!Se@EzR`}Eg)sWv{iGj98^w7|W^;ZO zQ+KT4%mdk7J*e)&p%cojTc0#vwJ2$^YT>3$0Rdaq`FO2eJcPdEox%8JY~AW7>tH3m zjazr>xMtnC$cqt-H^RH})uf-iRQwI*Bl;})6T_9-eMfhZ&mM#-Vs`zb0_xv=Js_*=hTiiFzE^U z82M-7STXHK<*U7^opN5p!bo2ovqcxU)mJzXzxu79aNL#gg1)nVaf{c^b=w2>Y|39) zusDBF!Tf#ence83abfO02s{&VOsT3;n^T$?(kTAx@sqy{%Hxq|w(N#$(U~}q-scH( z^5MCoH;D69KJ^#441&m*+fT2oc~)>W=~DL9w37u_RA;lUT)Fyy1W8+N?XnIb39O$w zE?T9^&Q~F{i`zawJ6~RIj`dU0k-*sX%|>!p4|b};F*YKtVeYFolKd0kmieV#JA*jTdztW>4! zEOCe~K3x`@u1=1VhpS3=DlZe)ZzOv(^$F!%O-yj1pL|PjVraB7Av$&ICK+WVn{tDS zVz|)qy2NJr&icZ-GG!ikj*P{OA=gk;C9^HJ+-7&G$|57wFR#oPg?&SDJ z+X+P0Z?7At9}zX4OI*Ba-4YEGPZbo&1PY8ISQb--a!Ky0eTiq7s2}vt9ztC6k>OeS z_gvxGL;KF;FvU=sLjsHfG=*5k6F24Q)I;lv7BS@$^drV%?~ZhflBHhLh?hju5`Qf0 zM*M-;1Mvr#Z^g&y@}o#7ydx&7Z11w0G=T{?i|CL{O^h<3T+;x*aW9Z%Hx%LA z%W4aE%6HTzhL$UfqH}|A?!6??BJIw$N&QYWC{6+e9U@j{WOuB zk190USMDEBwkuG%YLsQjj}obPupJGQv@~ol+aYhRiT2J{=0+L)ykv-klV@f&NFSw5 z=Cn~MF{(JmH_ST*YGS^nJ42Mw)#^RR0VJ0kH|;L3;da(GmmZL}H^*+NRhEUCHh(4S z4~A-qS8@3Es=|WmY|fBvsA!QrOBCB)TL-XSiD7|33DpNU;w?E)w5_4BFx-oy-V)2k zjue(K@REcOM=s{OFV9RhF%_8lFVNHZkT%3J3L>jhlIJdtp3H<&M;$!b4DK2#(bM;8 z!8chp`SRksDNH0D(FJ-kUyfAB1^P+|(cR6vbf)|}riM5gFw{w8Z)4pYZR{*sGJ}+e z`iLv%SIw)M-!!aZrU}xf)h|i4guKi56Ol^#h&`UXCmQD%>Rak1U*j9QB~%$5n!M>N z87A^ynKqS&a9e7cW838inoD=qD9dY1t++Bz$WwNN?E`U8RCEGl>NI&pTA>FhsFd*z zBW#?+Co?QNo(nZqCN;=+?5x<^q6BPJWLNnNkuN~|-NccCckXA4h1Kf}$bH+*RVKw$ z`^aeu^j6X^Io7BR3Au@w$~U>_AQhmK(;SSdOLkjOEosq9}%9YwB^6;9~-Ebp$782!=8)GFAr-GiWcQ(n{$;pW_^*S zkp9S17oFZ#8L5EV6lAQ+^ zPoB=4W5!eSy9*9e&%yN-kY?89XTz?|Hf0sa$vkm=QA`|A9zAJ@UWdbU}g9=81z6%1e-kR?LS(EJ3C(+{X8{e8rWS3rg$c zWT7}eFFggMxl#1v-ik`Io8zyLR9nRlWqG}XkH*!CrkNr#-|{DPFl_JA%ox4WH+`yp z)^tYiu`G_h&qdP#20B15qizztjt(fN1Gp0U-boL=?AnZ{##RmP(|!rOx4_R2;lRvt zy|Ov$uKwChMt|~T3AnDy$p9Ted4lo=G9a1^;Nr;p9w+p&Szk}p`(`nEnptLhSMWXJ z`*yOw)QVvLKntk+pV4YQk$z2nA-hGqie|F(qapMK*@a1%PNy@7v=aIY-9g+%Po}3?TQUsq7j!qDK)x2)5-gzX z6+U4Tx}a^M9+$~zd(7-cBee6cAuJDcAQF_U8!*g|5qwHB_)6ANO(*OiBRZ;~jCO+r zvX(9M*;O*2V+(mM0@b58%Uf;cSL8jLl{bq3Tgw9kc?ciUfylrMc>0%h++;0C59?^_ z6s*b=NFg&7(wFXn`(N#`(5P2vt;ZiWwb9tQs7XXKYw`21U3CQnhrJ4kIN^T zN0{cG+jHth{sl8xxPy4;$il!Ysypiai<#4JD_FzM=F_W-;I~?78>^>B$;y~ym(;kD zK_!D~hPa*{M0)uB6-`$9lE8d2>-WD-#}SwM-xxB-x{S?k&f62V{j00vo2G1|TQAYL zJQ^9%N8LO2BX9Su12-j&tf3oQ>H22yQY_NXJidV;qA{eeHxWV^5hSRDEd2Rc-G!F? zOS?(X9ul+@!T`ejat=v*M#T5X_b;b_JJq2Z!Z1w&z#){54yL&OMy7bJ z4cQz;<+JEW75%v6qx}ALpI+G9s6UdjHM>Q7WMU)SC(yqinLm5@oP zWR%zG*mL2#SCvMj1*L~Er1YhL^SAs#vhA-~7dcpGkd16W{G!CQI)=(JLVmp=8q~ z*daO^e1{F+(s$D*T81{I^#u<=KN&v`N(U1q=h?iX>xVo|+IuBoM?#G9mGGGUa9E;4uH>o%75_!~|U-Aqd0&-}PDR+3W&s zVTzd&1TO@6xMZPJGRPNGIr^u~IYq4%q9#e%`Ii+xhWB!!y*q^`cq_XP7q5M{P+fjAIS!Lw81FD_!hmRn#@kn{* zaqAB?-!ZoCZjNR)R|gS0U5++aYobi>c+Zv7S56NZtNr+3*3O)5xh(}P)h#W1_ijH> zafB&9Y(CHilQ&gRpR`Qn>sWoqRND!OW$Gs)H&Li#2bQ)AmZ=h}-+1<|vSX0gs-z!? zS{06Og=NP`t5TrhvO1ATc>dR;uUrr7W&>Q3>m7KtbvGLsTUJ?FT2@(A8WR~A8xx`A zKkXIKwXUkNYh9$W<2aqiF7fhOsA!7R)N1E}uRtK6rt0I&n$QO*U#WTs7%h@b})NAG**!(}x0pKU!uTDJG+bqWa!n zb9{&`o;~f=zGSJ_nk8J5HP-)?T(vitI*x??*_n$NUUp%)#WTueTwl$L*a;aAHLtA+J9YQxP2 zCSOx#tWfGDj}usPmbxM+5h?s-*@kFyCPV+Sea7a2Coe5FH31W112!cX%gnijrXp>b zDTA@Rpp@OP1EX%nBqkzG8<(h*er#tqV&$R()G2K)Bkg5(-Y$JL;(R>F(-|v{Q%nup=QSzxj4|RepVe)+{vW z=$_m@Y~c8e&AJ3re9_u{hkdRTG-R8zw-+`QG?zDHpA5!+M@^2lT%8RSXuU=iA2K68 zLKBo6kh0!5*I3->RhyWbRZ&`IHr3=5Rx-xSlF~v`R;K>jO<=|CX4m`uEe3UnA%qDr z7DXUe+7KJ1&WKNox|rE$Y$`d`s%z2JuF*|l63>)ZL~=z5^C64I<+o^>lZwWtr4%iW z&;%#PnoDZUwdyM#=}R;6J}%Z4Yj+3Nr7@3V=dR3Oz)0V>%eE_=)n3*{zsytZRPUg@ z8|VichTq65F;r)pTWX(gBn}(zgzt}NNHQM?K0BspE>kwHz$bVlQ=-`eiH{D(a*fRZ zD2kK1J7(A=>p(cHG#S%!(%}_O)oRNM1UBB7^iYN$Pgk;;(4$H+MrEx&RJo0jGWK?M z_?nn*c6PbBSyAOlCF-KwtZ0UQLAJ0N>U5(_Tbxpa7#XTErsovGZmmqxg)t}K6-rZu zL)j%-lNytptIjJnW#wb9OtZSO0yNionv^`HNmB?l7>2*#hUac;*{t$Z(kmo9lfL_P z*uCH*Yv`aAIDH(!pe?cLDPK;WL!D|XartiLoQ=7d+?d{)Q9&nP1N4OBsxG zk)xg6%k+vrnzAc1tIo&$7V~;OnK=0eMyj&2bDVQy!}*ZM5x0|WW?j#D;z{0{a>lb| zYQ+~iW|Mbn{8lAp=EaRP_BRg6q}}rSC9aw^V%^fkOM?=bfS7;`-Os<$w`g#7w{Loyr5QVI3*==YtHYJv-YE`uv6{dV9 z$5fQLP1}&soKs$~y}Wo&!XajLT-H<3WCVJh4muqA*j!mrU-!+W(+#-iRd(*T zc9AI;>3iRF&bb`B(Ouzr)rMvo8#5eA(8iHenaQ)*5c z2M}o;4@o+xlYtLg{+w!d)79q144u#a#inFH6$f%}^l#uUXVI@YjE4OPBLo4!P5Lnu zvJAOgKDnFn2YIF}_b&4;@n(7xfPU{!px0zEnRP z5xWf_bR4fPWD1TP%RMfaA{I!7&L4mT0}^J7VN(n=>@bZCVx%k5^3w~_@)Mfko8q^V zf;X?pP^0lVbv#M?8R>9_IBGD9pG!2>DMDx#jCodfa@n$*90N?w(aZ<3bS+)+30(xP zr$sNxdndOaxxxKyro-Sid2)Ks(MulYQB_JhutkIb2z5M%OM;X2x;x{qMzrsYMuRocxkbW*B|3d@WCxQ1@Ugpe)a*iIA@vflZ zx@L1-u_9HyiaYY1-gEijzn2k&ijtG1v^;`Fl@_Kk1 z>goc65Z4OYN(W}dF>x8uTm9tvU_JF+o0RGs$mxT;X)(RVft%fsDYHHTSf!!KGObQ1 zSsm)HQIaL~fcn(?-lo0e9k9wUW2HTOhA&2@?P51;yKGK#SVam~k#a(_V>kL6J~lT` zFUvO@borHJoF0^x;<5(^3zX(I;=o_oMP@U4M{hctI@qqLH+0_4ZPr`lnF3G|XZ(+G zo?rp64OjwOIIsk!RSG_Qi4!2bLKNelwH72p32WhUCu1z8KM`I7cEx0`*D3_yNH|-b zTCOhU5X^8Eo!vP9&@{QtSv+n2szn=-geEA8$EQLrcDYkiV@X|^Fm?D@)J|Q*RBsy& z+*F1tsZ(v7)`;gHU3ng{3NfjI9bN+f-|WT_i?;)1JBEK3S+kek0s^eyH(j!A!qVFR5`B&J zw9WDwmB3alB8e=0#RmrO@+a^7an<$lsR!%!tz=?K>LQNGkJVR|l_>Wed9d%%(pR(n z={v#R3_o%evhwvlIZ7YPS2&g+(gIWTA(+fcb|_}EFo-v6Tkmi3hO!2 zKpR=0&Jaqavx&h4aa}`>$zaYfyJna{;+{#{U$~I75_1};-8r!C8`bHw{Sy~q=cJOY z`lL8le6a@F{X${fk(dApSLsiU{&p(TuET_k528tag z!!8P$`hO`QCDfp*QCEkTY}GNgQStO!`qVaBM!r^%qsVZWj%2M5;N`-N;nC^j0?Njt zGlXP9szO6EP?)A-Auke{44@7j3n0yKkfe@qy5uHO39IZfofbK5aY8CEZ~7KF<^ufK z9rnvQ{uam%!oftQe|ZJYX#9>+xT+Nh#7=YRcqpb=qgJ^7p&-JFIr@*NGprhRz>mGzrS)dr&*TG`SIBM*2UMKQ1(`|v@!cQ}4k0r#s4CK`Z%E1Q=_c7) zEWPd~Nw6ANeM0LPQ5 zlcC$VfZXuxPYwMIV|1P%!VL8()|O}NOWqd1=xa7)jpXvFaYcY$wkdK}^G9R@qhI`L z4czD{m2vr~J*FrmivxRDomR9yK3cDjk1O(1f(}Wb3(dxM5=Ik9P6>iD5=k?pcCf0X zOt*v6l3`zO)5~sDJ*A($n8WCAtvs0z9nUNgksIa`N4+e~ezU)@50c^1g}26QsAO(P9N(Ub4}D_N0$n=IkIiPIaxNy$UYc#_Qq zdCiaVs$5fglT4Tj1`yJ?>mI(p`O`u=<>JqLb?eqNaO0Uf-Ge17{Jaf3E2_y@}Aa->Gh zp+^E4X|_8(5`@T(ESfCGA0C}KaDZZ`SVn_;*?|0D_2-$bfo?^w}wcFtr#iqeuAn>1>|i zU3o-YP2ThU zVb~ADtEkk6I$*QPr($zUQcKeAih>qU#43)E5djc$b0WQjvB*vI=Z}a*2X0{j5ptyc z$dpyYb2T_S`r#~QQb%SXNb^3}LR{r=^nS4O9I;p0Qrtu)mcCs88P#jH_hoePHIPY& zsEi|(NZwhD@%k5;wHK{saq#?NHwx1^Y!qEGa)rYAMOl)Pm0ynbLYpTN;an0!p6-|A(?X8nC_ z4m|R4{A}AQGLl0Y!eicrR_SFKsr19t1-SJAr{!1KX3^NXfhL z-JSS*!i&<8IF5cs?YNG|Vrn;f1a(x-Mm?Yd9E&hJ3wfc};HUz`@*j#SBOrj#eZlrl+U?a|B*G zHc1^7C5tpimnI?g11nPU3)2hbLdQ(UECd-t7q}dAiZ(DZfZdE26677MdE^yK&1E37 z3#P!5Eme>&05T=xzgEVQ4@ER;0^o81G)+ctkOHuT-2h!@C>c+Z?{fT-zgX(|F^%R| zi7M6MMPYK=DsdcOO-OTdwoMXylf9zn>U-Zl>&$YQF?Y=u(HzXP2!r}XM}>=jR()ub z9Eci{Vha&PnztoXV|47~q6gfxGkv4Y>OtBt0M51kOfuk{>Td1Drc=AmApJLxE@D7# zJA^t9>L>ql**Wsg8f75q7D(*z%8+;be9mo_rv$}pS*cup_2i-Bhff@I{rb|Wrk1S7 zdB+!3(4JLPQ9M2m>GY!7+NF*1ZOtvW4=NAbsyUUpo4J%5+O$+29IQ#&sysnv{q>j( zOC#d+6Q67700uWts307!ClPdAqyT{m2aY9N8Z6xfpf->xbc}d_0$@i^T++-~CHjhg zIsJrxG6(3oF+ikclI~8#|B7fBmf)wvI~yS$3Nh~jHr4CA3ou8W0C0f7oo!vZQ z$$Z>D^z~NZ26`<{>D2q~gtGl#0O6Q#-?~=BdO`;5`L#tpW!$B?-~xL6b9L)=rS&fi1NR$6Z9#QwJ!PK3Yc~XO zpEin`sw#KvlI@Dz;a|l`3*Y`uE7=Xx28R!j2Z?{OZ4&Lch^hI-%S}y9%BCjVgJWL2 zVDw0>a^^_NUJ|%l4}xPJNB-*9@C~<>R=rqH19#Juy&S?*FZ9YGFEDnE@o!?9{6Xt2 z*MF%G;D({v9=%C3m|SoJy|ftE__&O;cqN^%v@fpq$P=Pd<%f=4klmYoW=ed5HXZ%Z zIFGN$Skc+2rLFVilfRrZIW99UJ6?GL;P{Jumm%14F3MxiJo%)#|K4&O*6PTwM2n&} zE}bu%bYa20l9J5q5{`^G@tR(tBmTYR)AI}OmzHJ;TRu5{l8zTGtT?&pqWs>atKXJn zl%y3aJ;(%d@y$s(5nE1S%XgQqd{?3swk$;krTbaYxyl{wmt+s-otwyYG}B_XFS$Z4 z{{0%H6g~LxOL$I90y^Iz%&F;ZTUV}c$1Skn3vja8l5MeN5!>Q_n)}<5pXM@t2haGN zm6LCs&Yo%6aZvfwrC-nde4)Cyvb?;KAqvNpixzGQ;YKYQwPe&{CUo;WFE6>*yaP3x zm7~v$I63+(v%Y@m*%LBvOpI=cPqnUDCJ>mK+K4YwUtZ#QZR0ckK& zwEms}aWCw+z2oXP#3X9^yY8DSGFv7D?qfSfi6XDxQr(e1eOOX|PpQq+BG-rECtI(v zS)s;|t+FXmV>b!Pmq{I;ibxD`g)>1HeOKfw#qTkbGx(AaE@;BA;>oy=p4I2)*ts|`qSlW9s?e!h~^c0<6P^2oE7D+Y-AoqA~tKyQRIiO)Px5xsJe}_pBCj38_;2xj!)&ukuPU6l& zn1D!BM5_>r_23&l6>k4Rut)s6Wf5z;iFCBIICya(%WKSzQ`&BlIWhFQi1tY#hY&J; zBPVajp>n4bB`?I0fwN4^=H8;?6Qvt6^sw&r>D~LkMc*e%OiNBmkR_Os3gH`i)NlS6 z=zgctf4Ods2;Q(twr1O==5TJYZKe(o?i`J)rYp$fAvT$^a&we9xtS)NX)!<3rFq-7 zJ?*lCp{<*%xI7|nCEZT9TYA$CE?LOF%|vQrR`>o^q5Z;aQ$Z0}3ic{2Bgjez%S$j7 zfSGh1{@0Rs$lB}VUsp)?dl-21_(GGtH>GWs`}ky=kiabi*Y!x6iV-UfWGoqwK2AmG z$H1icY}RQJLmbWygrS8N~0G4O+11aU-AuV{s z+rgk@NoHv&9%(9yfy*n1o|eP^;YR{7U8^L*vX~5dIoIQ~l58ekB0Nem`uR6>que$H zNP!o&DYhxV54_-~@Cz}uyUc%iG;OzLkFsM61aL^heyD)V0{7Ksd;SgH1dv${)_c5& zP035pr=&36-cyr2irFWYWExPV9Z|FLkY|YAo6*zjETMIZ9#;WV4(`Adi{c z--X0JsK?^GfpNywK8I-QFu;(8VR_EM`WZh2`9n}aOkn~7W~+dsnw`HrK-slQqtPej zY8cPMKd0Br>wnHVd{~*At1r+XpQwb4fUt`bdDcsK_5YLI81CyA%VotGLGKM`?L6ut z*czC?x{&cD#?s7UZcAxcbDQiGB0&wcNm1q8^+P{x|1;|xsdPcIQm#3JEMD(YTUcA# zDBs)cyMDbd{Fu$WsT)-va2uF8FdXF00o7#_lOzb&0H_5v)2zGZDhg3w? z)>c;5a->D_=IIY_-aH-GhXXH5It^v9_ZUzN*^PSqH%H!+oZI@eRz%;Egj7b>bQS4I z221F>ohYEEgoBrd3>xMpI*5yW9}m)Z|NP%~upYErX32*O$nrBHfNn?}U5<2y1gOES zz;%k@I_xA%yw)sT>eY^zSuyyJX^B1qh$OYZGz1525-iunB$4BJ39jC$Q#g4JBwjzU zv|fUkmr(E&2VrZvd@=p-yogpxXc7qimk<>Sd*D}%Q_dtMFlC%Cg)1mHrA5y4*;DPkqP<-@NcgNSZy6X z3Cr~laHd#DUmlmPu_O209G|gt553I%2Arn}#zGFUJFShzS zlJ#Qga%`jPC8TvC+c94veR7=KpGfc1@qDB8b1_|SYZQvLqF4v=sVCBV*wSGAT=LHr zoX?Mz_se;n%*I7OKzwks`H)q}DX(_0Zs!ZxM`X3)p%NW~JNpoCA1V2>w&^VFUOAjj zpRU`KQ|Jq|FbVb9AhNtKxtDdP<<$9Iduk69A7zY%g$BgEKSc`G06I&k1A0hZ1t+cF zlw0t>1@Dsul5P7A7ao>lPSdqFZzZ#F)hco$_mzOty%$N?pLr1(SG{`j2VrRZ(V`(A zN^jV?Ii7{LUssuakT@;QBk#Db3>A^lU+igwRKSY$sp=KV%xIzGSevvVz@NJoElO3T ztCD2W_f?;hK^J?==E5B_VBS__#(dsv;0z_?%T`fERzYbwsI*HW5~;#JErKi4L~oBk z(kW6;mD0f~|K!hfI~Lkv`?y4>C&fg|BFked>-lNF7oOrws$5lm3bXPC+!e+%@*jxP zx7Q9R^O5#dt~IWrjx*BynDjt{Z-6XbkLR4zY^%wzEyQAv(mEDvvaas%tjG8PaQj?g6JFwn2r%eJF&Yu@W+WaW`a5234W{oNY^SR@^D#$9$%Vly+phT6MwfgjIWysE>;lxf( z?7rDvvr{R(RZ;+_u!h-0By4W1MxCHZO4Vg1RWVgb>Z(QZMbVMrLCURRsuYBFq&4cI z%);{0^3uk-24s;p6l?3`bq(6Y3Z?XLMM6PfZY%?}#GUL{v7c;Q$Zc2@8nG&CK^Bt8 zmrluKG6z9aWD}h%9~e-yZHrP`v!Xfdq~W#^Pvv`<;Epg5Pb1(np1&j2?;&P|pWc&8 zcRbuSdbv{Qh`?d=kgQ#{gBx{fT-CT!%bP!cxZoC!NJanUyK24PxLM00-8VAx{OC_~ zjcvBfHivhhxA~zk%>O2bc@M5f74fq)6MuWSLHsN`!SZB1iEK`!jt!+_Vd)H^Ljwan zJtyfs54(CE(cL?8I6vP-*qW3ydUPOtzk!NeM?}t^I9Nu-&xaGyZx60LujGg$aBhuH z9yd0+5bP^ha3W}5siT^ znBJmYpkc=dr3G6KpN0lCcplc@KYZBr@Zo#*j&3B zO2Q$cg@S@-&l(8pM=WpzBu=M5Eu*N*qfmCCv zk-l>zHZLJ}OHo{I`;GeJS$Vm|hki!%I>%52E!XT=byx}$ma--=CL=a|X=IQ(NWCmB zA~hm4N|%(*7-F+h^|H*gg2cj%qV#PBb7sD=405~1tc-%JtgOtFg%vrKx!={9bs0(X zXwS&aOw?w;`#uc~iVF8y5|@;vZGax~j>;3)$|{eYKXAF_BxbX@8K+kltBciV{RCpP z!{J8EX4dnuY+(lSUgc_CU`l*iLV7@QVn$*{P*ysAO}+(*RS{(wCLL2z1L0+5aZXL4 zx!jnQotsh0fCYkOKcn-Bay@{gfwmj0wM1h1k|c=UmP+{j4_R*v3O<+D&~5{^lK_6l z%K$Q`V}Qu^${NA)H^>SwzDQ`X8#S`~J`acuiuQ|l^`zo)ar6WEK-#mdeWWrcadkto zT%D4l(jfMqrd;p?SvK#D{0DKvj+~qZB|ML<_m8#CaXEo|lkBtJ1uXZVh#w~@OwLm! zcXXrvS`BAA2^}Vzvt(S*f~X8#Dzt-BHCnAMO_#yEy(rNcbUJwGa?|qUX0U^#<(4P` zUA7caoqz&{J4i6Qgg?AH)G7N49xh=;8=^RPIj^A3UF@sG+0zN3LnXu!)`3WpjF%h_ zxb3}*6YgTsF7IjEzmj*1xg-Qnd=!?~Vkpd5Op>3MfB)Hjt|R^-YplWSuHE``-n%#NTBzUb4Txd1 zi_K9?qe*nv8dvYl`h~kTlXlwf(s5acNIHW;3rovogw#m8h~6a=5RvTd2@Y8YOQrQN zOL`9`xa5>w4Dv%q+WR*M5{)D58Cd$T`hT%Sv19-=C|05?v|m18FdYC%iWPX+yB+=G zSB~fESgNHzz#9jtg-3qBDiIYC{|JY=GqD>`Y*bY4j6oNAR;YeU|Oyq1AblpirOoIMMPTk zC4ni-!>U34J>2>=UC}A{5lnRTWBMWKv5H&MaY5v(trNJuJjBg)4b58R8p{O{>2c^W z!d|OEwbLaoLg0Cc71WTOhp`q7M2PYDb-XXZjJA;NSU_?uo&Pi!UVSZlV#}eGWn6~` zJSf=-@tN`R`1p*p1Z9T@^8Q!GY+1ET2GXR}wd>jTw)%b)NyC^p<7ATI`*bEJv3a|o1t0M!vfI{dm zv3)@o{QJ`w$*Q_F`y&P4c({lZI%NV&Vl=uMwMJd0PFU%Jm7@KXb?t{>>Njf1B7_qB zfC(OzOO|NK;=hSMrWuX=R|M!|()fU6Nt^B5Boo{mcfu~P<&pO#q`)?nB|R@rqwnT} z@>fi{=iR$Qy30#!575m_eMAN-Ed#}dVnay@a>$?|9D%9-cDfketvb33NrKDKJp_?H zzmd)0*$oj-2^+NGGr61f!Vy;bm5RJ1CnYcfNRPWKa0^L?Z=@n6JwWaV7zuiPcX_IH}UZON+LRO_5sMlq&wZg39#@y4S=i0 zg#^;+H-9HR3}jx`U7V;h0pulM#IvH6bIWI^HkGqe$=7!!LPEw!GMN9H4DRVB z_9KI(?QY^>aGqh1=|=3~7m-7e%pR{`M8j-Vh>2l6k;AXuk>3%^LV4N&zseyKPJFi> zRJ3hzZLw`}uhtXhNZYHnS1XBRKwH1PE?H$|#xj91wR2~sxBXYAz zuY(X&1i2$3D~(`87(-Udp*k}b(B9-)}y#>O0yJzIx5G8eo zH}De)Of(jp5u-V)$3O+u3+g;F@Hq&wbgqJrL0ICG9Xe|n5@fN&z^jei4fpeksGcQm z;)l{;%U#}qwaqA*TA-H&j#^H;wGJy^yU+7jIzJ)E#aLC$JBn-{^53(znWd!nSkYwq zf$u!{jD6?rSso-bc$e}da)T}ufobDk2QMH&svkYa zMyn7Z0I_MD&3@+$z3gcX>0WW-huXa*7lXk&OZZ2uH2d@akFocFi{fhAhgZYQZZ^gk zmm#pj&Zw~)V=S>p(b!F5Lu1E=Ac7#hvvgP%SlFfa-ocK&ml!ogi6$l*O;6OACzdnI zS$zK2pn2Z+`G4Q{`+ctLPC4hynRd#3U-xwpZp$Yq-~GbuM8P%;0rP%o;85%dPK|2< z9r3O-A%yrzFUuBRytGiSmEBQc>NZ$12w>1^sjY3k9RFF$B~jY6O%1Xz@G=o4tQoPLH-Xdc zq~s>&8x-On9iN#UBYY;mxova^KXH;i;yp1XCL$@0_X(}4ZYnLTG>PSZ{GR`Smsv5~ zr=br9Rf*nLdyj1AymtC+i_m9h>4mT8>vYC3x|AP2Au4pXm>e0O9L0P2)iyU5RWw<| zs=Ggy$V|!W$ck0(kdb0_WKO7`{6reLjoWN1R7Jk5hSij+7iashS zlHcUrv~Pb+6@q}9(A@Mcl-=>cBzEm!GDED2Dhl1Ig-v)EjASyot23*I9G|n@mmE2R znA6l$KVJk24xlw|K8!8XHkLH8RX+5L?OTSPA*Yn->9uu69-y9@_67zDCJ9MN2>5_}Qf79dn2ecxmbN=8P)}my7``0ohB1rDFs8fU}aav$ITQqfkjw zn5)38nGIlu;^Pw%;>8deT}BNIXu{3r>}-osC?^I6EMbYykGkL5gUg9G$HgXqI}66c zv@lyAp#&LXjoI-z(0(%K0RJxM>5#T^xpC%LJ!U7}DI;v22uDm|^hR?$ED{!TE>f1F z1~(-WmuHB}iQ)CJu`yzVEu)AgF)>C~(OiK( zH!4c6j}oG6*#$J7i8AKs3;2TE+yZ1NB=OAmxJX3?eI7<~F)w@XYwkcuHrm7XSuZ&Vsio+*lA* z%oi6F6eF{oJ%Z`HU&;Y0q#+vm&X%q5QQHJ!4umOxEiK>|ei#$vDh9Y{ftKUK7zlE4}-D2Hvcv!eBv|4sqXm#)fLSvgO2&<(1!H|n@f@QKt z4e1$~7_>jVPn5Q)f;|7RKjjrns!!H^Dh2+omWnTA9r0;Hb7xPy_sTz-HcNkP%FMngI{ijvH+8SzQ9&w}OCV%MdFWa>>x z-8%M$su;&43xL`Dg`0QDtiQ#lyU5^1A{MILzQ4cY5`VI=tRw>-S$bob5n6dhLu!fv)HW)Ool9y=N>pliYIJHOkhLfz{!H4DoH}5cRJ2dmFs`t+ zu&xlReN=5%>n@jm(lWDs(a{aqZD)zkNyv$p6AlX-<~!C?Wz`mO#_p-H0q-gr+Vwdl zt3}eICNv2H5}7s?0#efCZ1O7!QTNy3iaWyqhQ8)xztQZUwgqs8fM?JtJ($U4Gs`pb zjm4QoPGq38A55Yw8ED%tC&-9)GA5+QCu%d<^m1c8!z0m{%(NO~x`a zo|2}1^H_k=TH%bSVLtEAYA9`ga)a$h-c86!%t|&p!PT4rS926QiC=cI=@;$&tIo+n%Q;&>mXaW7*rI zy@hBz4;y6uhAF@Gry#F*A~|qifN88T<&=y2%gYX&(Vh(1=TR=?1^Z=zAi5VV?>;D$ zuBHcf+W)SGI1SGJMEB8fkvcex96IE#*+<7{zDHEJD@27lEy}JA$-+Ikd-n-MQsf)k z{W^uJP4TX;bgXqT$>->0a`}a| zePdUl7W=h7Xs}RqM}SWF`{op z^4`ii)#YznA3V}N@_ex1TOqJ6b8lT`ZNEmNKK2ME*e_C1_AzoM6X`6O zm4_Z>-M7n#;twq`Bc63AFdV5sUoHli z(Ey~Q2U#*gm`cYEqW$~#r^`qrok>2OCH$65sB`tfr|UBp4j_|y3-z3)^~K7cu%1F>p))fT1pfmLYP-DB`aKW7V}G%#fGiG2C{-V zi#fw<%>>aYlb>~QNaqC~kOShoo5^d~ClEPT*os)!#o8q~%Su)VQmE|#htq$p`7D^1 z&`DwU$uqI%`17Z8N={+}(l5nC`86+uykN`(fw=oR;#q>p>L=wxkYV+3}*Up#a&S9Y_LuG?BnmL?Zyna|hEyX%4yuY8!V^prJ6Z zE+&3ZjlHOq0}}9g@=svGMdAl7`h({M5~{R~`;c}}YMZ0A?UdfY%zGz3Z{V{Nhj3=* zhg5|0EhWLALXE^Tq8R1;pMgv9PA9gvB&PTa}!0kDY%!Pa``Iq#% zw7k4bWy(lQ#YC)x&IB5@IF{}KPM%uY+W`fFC1Pzz^Og4YzG>|T$VfT9ZRCM=4LNCj zHi+9~++^C4U3}M(4z8#6H%2~Pu+-77(Z4yk6%Lmr+X!S#z?AnEX^nTX{UQCv1zw51 z_LcUlyla(Lgh_Szdy03LwmL0sW2Y@4@R-WZLUZkvWwmGydVpr52r`vTP=KhJ! z=7K%_z5KivoOK)tv9RfMFe1)gRusRxC1F$2CW8}P$Mcn>)eLOgTd-aQsi?bjhYR|2 z+u03ALDVze5s>?>2Ua#N&O1U99J9T>GPd#CyiyXp#UnIfam-5Zts9)+%Nf66^|qx! zA2^YyDNLMSlCO`}$K-2)Vr%4-@()^;9sngW67AY>+~<6Z(;Aw{BsMlDOE0N2vl_)U zB=LOS@rGRokcN&waJ1!Y`KL}a@>|AIYpQF|HYC->L8&(CTgH}#KzGdXTH~n!{yUKd zpY?LAXsv3lZMeM5@%N|1{stLb7k<}qk9l9_KBLNd4fZ=C0_E@_VTGk$rJlv^`CFVO z`7)LB^WLAKoe}+h;C$h>Z`78Et)U)HXT6wHd|8Ww0pk z65Aaz)mVQAitn(mEPRT&P6wI!_z$$-sj`2jFJ?!J;QO3>kvLu;pFvNn>kbqNL%CCn zvNyUdk8@piDdB)DSJ!?t@093)+2rBC{VSJ-xPSa{#rD$}!YEFawH_16`~LLRHlq3J;DOI8gbd}5 z;+WcIZBy2srUI;eSib4*MGzAF{5@g!?2Zj>77iWCFFJsbdF6TA1TLdG4UM_vtgK9{ zPN@{2UKU){jlvmcDJ9_Az~#4GT{X<39$~=2r9igH=`81!V$#RS6pT72GT?9-Kp0!jKrqyLDFHaT>12N2&tX+v4zxs1peo-)K;{s#9__3b z{Bk~;-|k4iR&e9q3!6D-VD8U9{ZM%I^ZPMlfpkpfCU0LhZmh?N+ut{R^6Txkxh?|w z*RMIhIWt0B_{QZQ7Ikx24Z=Ws(cmjo{A-(-to%4o|G`S_@^ZIBz5-bGdw9&8LwjlI zCi3x8n6bBzQP)YBpt0AJR@=}w$w=*~`toBiEKY8GL^$%Ewmz{gwpOUks>!agsL0i> zDO~cwwDyBq$%^N0ziFR9{aMpS!-fr7+Y{ybG`HmS&|GAt2k4%Iw!7=M@H3*XofkE6 z3aQ5(WnF!8Jr4`!bfqRme>(NF8JamEtZ9eQ$49Ffpr1ZM3FA3ks>~=Y%P7kOsRfU8 z$*J^_QnP#momoxaBVHFi$*Dgn*gBl;Lb&V8u1%e?WcIY_=jYrMG#mPTeeTQaV(-K1 zpMZgnk(7UTE`8MZ?4y;BI(3gUUu%A|-tJtOXuq{%BxfBeaJUoko~~=r0zMl_h{Q5RZ!FJ=zRzoee%N( zPekc;Jx8w70#ZP))2{$^#P6tzQTrzg`8yk9Yx3b@6(xIL|`(=q!`i+2EmY& zY)IlgQUk-i6IEM0Vj`BIFC~YQZrmlqNS<##e zijUmzKSm`jJ$?CN>o-leO_`2}D>fL#odpNp+QXkICB0k8nD>bAF42I3EYX}^RZ?54 zJ+<@1j&{gSts*fi$Okm$Pp6hiBg)4DU_lk(s|Sj7$`lMeqv(g)kZ}D9Fam@JhpqS3 zh8e@N!-02fFb7-vlLOC(VA9u}7r5mf9+fJQ6jlVVzSHT)#%jC9VtA|J1t~UI` zRu6&drA#^Pa@XZZcd8Bl<+QKKX}5Y{$MdwOcFAc=WgU!zAJQvuF`+kqlis9NZ~&}< z%Vi>ZV2$`b=%BKQh6(%STG%gqWrZ=lQj9zje;f>KUtp-3L+)2q8qmB*KiST4pU2K7-MD54`My$OH^E7lCr--x$06?Z9 z&37l@P|~S1_u*g?n9tSZfll)sc(w);@4+ODCyRArmrUD!Sxp~<6j^hB8uk-ckjH@Y z4eDfY1X(R$@rRzoMm3NHUG~>>P$5&3SJ9Z-BOt90>4QIw^eq`H)so(QaVIjYuv<*>vJ%o4PO?Y?g z*zB>qN7QDY@elVN^ATHv(*|wT8W5$VhhtAKq(n!j#qeE=SWPLGGNMI8Zdy*RR_mX~*cNM~-=m2mKQ0+iSF4r#~-tQ{OPBJA9H2Jr6`U z1e@UU2<+@2f%bRg&|nTg1bgzB#j<5TkROsg*M%)Wj6lp5djqjI5J>%g&#(h4)CznoZp1{9|r$uDqn}9IP{{HLclK`p9`weAo^( z8IPTRAbwSS?+^0wnd3p8yG0`JG~hipYst$9DpKS7d47B^TUpWOj{LM2W5nPjEj}&Y zkPwe^l()3)K3;JKPH!ZarAe)27;SW7UJ03HL@B}IHOblT2pMI%WP%J6Jg=G#>GRIH zT!B}_R<9^(w|?~K^$5K5*9S)KiQdy$uy{Uu(y zR9&66&%fG9<39Iu#Hl4S?*HQQ^U}(r^G5&T7~QQa7!#cqk{A8UXmDRa;fgn#$y_K@ z(s1s%`rtc1JI3S(r^Q5*-*i8};#Ch-^^bIGf z&HI4ffQnz>zkXum9$ZVOxzcw=QhUrx5m1G?%6}`!NOA}x^o6oY(f`YTO=mrvu7Rt7 zo02+Ksih9;x(d|mI!%INyc%&Xk2y)hw$<0SiG;J|g1^_Je#b5Wh*jIZRcg&e#s8h{ z2bb|^Ynu~M$mCfd2;&`Qlo zQ-e-AU?(4f#Ua`R$)45t4edTMT;#xu$-t_POT==CblCe@UGaud8i zvyKDk%}>|+0J_|75lyw~*yOZTt89a81050M6fF&u1|2(^c5Br!r&UL>XSHphZIB}! zPKEp6vO zhgbd$x}}0LrimHep2@Bug&{@3Wyu*S_=J`ESk@ZoOUcwN2=N7dRMvOl2yfhtyq)*i zC%e{DrPwt}NhX-MrX!xmS8Pp4l0Pcz0_DB;zZnB@+&9=U@4q)f>{_5qFvXh^Oe=PI zu54O!X)5VGoP0E$uId_Vo!n1P?yC}w@FKsdElDm+E=*C;0YFW<&fhGMesSru8J#emS8!Tlt>8&d3XY?4CSrcC#R-m_l*rVb{6;`J@&i1$}=l%XU4YY7i1Qi+VhhhsjS1Pg6nQ);;#dA z_wjtQDhRLvL+P9SYqfWfQOr_`qq{`JUG}UGw%_Zl)%FE0% zm*!i_Q>(#-2+)N+KB;h-OosafLpu%qt6OS7_PijN5b{o4=(X+9YumG(_I7DqShv~( zv?rVCE%0<%SQz;Jzm`}HqeluLNV_^XvIVj>@Q~sV&s>#zbq-*Fm+yaeS!P9rwzFfg z`dJ5#C$|aCRt2j`G|3(tr6zR4vkr1l2RZ;9d4}O*gJciiY>)lU%4YjJotAvA1}5r$ zwMVIat-Cw5_gn2p0PCp{NhPV`s_<|Qtg?_U^^<;d=6O1l$FyqZ;{N@}U0sz>`1B#X zFhfX>Aq70CA=O+Z`ow`%W+Vq3ZZ56-lV(EGfmRO1%3Klri1G2-00QmFN+B0xE>Cir zM~s>{9sTYkF&UA5F#J~Gu$BKgEbvuXwjQvmJ>}_BTMu+6*nopqn$4Lea6Y<`2$BxJ z8>DeAlXT3Sut7{h=V<18lT6$c^jMKH;ALs|DH649oN>@Lv5a!*utlQ+0)ETy5H6 zHweRXtNqX5deZ+TgMXjBS*hVNl#Z!YGF_i5LC38s|v z)R_47F>aA=UL#jem^pXy^kHsP5imJyV)FY&m2u@}!)87pB03;N45M~o^rh}^yKs5g zPUV|i5?IHROtz)2x+PmoFFZ~D%q(SEvargxvjl{x=&EmD77MOtd=Y&C#!Apcv~uLF z_dql;;IvRPZ)oWT-u4H(W!nySh>1lycg|pTBvozoRN`j6pJ37CQl1)s4nI0 zYr4!|xL`0|5bqlA20%Xx3Q{ENz!h>jvHmnD+2B~ zXXU?T%$>3wu9>uiCT}uQh&de}5b16-I(O(TVwPlvv`gkVGxt}FNm**E|7|mW}kx1xyubs3w(V2d|HFg?GXQ1chGgFHWi3EW*nVqRJqJ5 zD%m39^{db`{wLewKjROdC_PXYT)v=D{Gf5-apSLO!Hop6C=>ZhC!(U8Md`gF0Q2Mn zz0F2`l?0ZK0Qz29D4&)P?mJbWGg)Gg?lAj{8}jz@2roudYR49})POgYPcF!B_P#yw zu6I){fX-`ktVg;%$G3>`)A~;vY8t+)Yx!kQXl3Z(hHH&qHZ(L`PTliGedBj^d+IMY zd|TfhotsfuMs8^m?u}U9`N-L>iKC@-N2+ZU*hqG$Tqh3m8NzFNo>C}ii;NP-liQ4M z{EFRK9zO7Ky)8Bez)?osj5Yz@i}hf(SZ|aBklwhdnya|ew;wbhAf$x=Y)+eDTT?wR z3~Mbzhc=v^C|d=6lBIWO3E82thIMV_!c&S9AU*)Lzl`D(Wkonws7#6m_#iQ#iA*Uo zDYK%p@)=VI8)N%`>&A4T_cZV+DH&`xft>uMjk8NOF@~g+{47=z*V9Fj4nzfS#JKeN z$IxpKmQwl5Bt|o!r(WSqU;CU3C=9I;G4R+999_y!qWFRu!ZC zaJl?`ilGYs2)X=z;M*i)-sfP=Ga4aMi+?gB9)475SOazi2pA*kot`G6LvSvsMpgF@ z`pMK@17!+5gF%HK17wrr^8_g*&Jj7})B-Z&5*Xy-@q(Pl_l{Vv3ich~ILC?=;RCu;|@0jA=(QoIOAm|vJ> z$rTHNn5c-*q!78zihi4S)EyAzy?yrA)$b9=SOW$u_fOBf>|Ap(-!O~YSJ%)ECeI!{dzKX>=?lcD0LHA>!_KDB<9!GS z58t`7IJ`>ChhjjkS%wcO6a@h|0DfblqLNXe1Vtacn=kGHNuA5#8Y=X-H*wwf#;0N5 zzJ}*_#UkRapaS}adF)(ecc#CI$jO`fWLXR;S#rIfS2;8mRhA3tGkpi)>z~)S&+{5% zcp`Go%ManVJ}-Y)8Sc78yo&PsC=~UyHx6*Lj7x|17v4ZT#0D^S4pjisWdwpsB?GCt zAJtU(QN_cHhgj1CjGo<#1{Gw$(z^e84McK$y7%_Pa=NiwQcQj`($dp=4FWzZ-6(YD zmEWFpqYCQ)aN3;hetzCwUXp&iavXE?ATY@X4!%F*tG;PZE|USDHC*0Lww05dQtRM) z^1*@2mblww#3jvF|8^l)tZBH4ClyW6je%uCS@6#6jeI!uD`xlCnoAI$h%}Yu`Hf9l zXZEklNcobYDX4gp5Hh%w-Ct3HcG7O5i?emv0&aECTKDaOrk|t2Z~IpLDqi047PB}m16jnzzB8x&_UtU&QkeC;3 z786X-CVz|Sql)0FL)udZ_nmKRiSe%!wz)C5S^CoO2y+PU8xj#5mK(b#O8m;NB4CA< zG>+z?b_68(@+kIjC zt9x{1{T@0`WV&<#_S10>RkkW+*RR%8Zph@xL*zD7KVha+iFtl)f^9D3?*?X!6Q3CE4sSnm93W)M){^%gW{5 zXRjad_+X`<*Xmdi%(jZhv>(D#t?zMPExs^QaF$f;%*Bglh|aW^a>n^Z9fGq`Vmr=X zfcHUaAXRN1=bBHiJ-zPq$ET0LlD+!OsUOFZVF_oJ5fxP-U}P)VN?p#lo!~yjOAR@}bg8mmFZbL zUVa1750{CqvhuS<@QuyC{8@F#=jJO*KR^7`^|WU8EYWM_FXgE1A6z?89Ha_Hs<%~g zbnGcI;4~UReNQ`;st+A-6jIAyPGvNT1V=^B0p;HtxIdpV5THTW{b&v>$O<%33jZ*D zprBEt^hA@QnE1u_Y(+_2fJpXda(=;xv!2W%A>K2E;*(p-vWjGXkv77exwCuUgMDwoqB@E>v!VGP|qt$=_K9FeZHm~JY$MJE^xI$QUUCf}%>t00UeQ)wF_SlkBU{8qtPlnn9 zsUhWJ1#wr_wI-no zq?dIv+p+kQe;(wIW{Ngm`3-^E#CvQ7Uf}-yT}Gp%cARBT7nL5DXf=Ca_<{S3RmIlS zCWn=Y71*UxbnkKr!sY3yP`M}+CCz&>ckv{htwbT%FW*x--H0Tz8#L$h4!!aeZEKL!(xzu{}XVwvqYg=^1ebL~K>W zTWOnS4d&+4sw*sJC$DqFflht*ytbk=qgWuXoTU!zs*O7ljL(rN-!9Pxhb2b{wC@tq zmp#{BaS7pwh$h1Wjei?9oubU@Bif3R47lIbXJIv5wc$n1n@iy{OhV4rmyp-lrd`=} zr6QeVU5eu_W+_V+GefBbrX$1!4rfQvZOjh#V|~-1-!4XeZV=CZpd7Vn?K|W4uKP*6 z-u=#L*_!Tm&JCd_6nEK0FF#X@e`V#kgneXaA$b{wbbHC2yw&LqGzumJnn-JuRW0?> z)duf6x@Xr>0r2o)2#7i0p1w^8V-u2+6A(JkugS=qXv@1Gl1FqH64wRqIwB`_?yQIJ z{g{sSWb}sEcs<1G$Qd07?#2JWNOL~^*>%Tt2gMV-J@o)aPe)qxdmc(t9 zA~~m)hNp8WX{o6Q$1>aOm_%q?B=FPNgv6}uysN+E7K#bw?~!1WHajajTe!~VSQ6qg z#CAIT33-Rf%FNEp=D%jMvl0?Ssn1cl8Y(6sH8C-spTuhBp(42u;6z0hYCuV1h#`Me5I3~-OWy<2e!qF1r z;nGx5o;zjPmbIP_WnnMrzDCVProAQWxLI^ohD!PJs6vXli%_{S4}Lp@dfdaM*OEWJ zB+*An?k+O?Jg8wHLfi<`Oi$1O*=tTbc4ptRzRGk=oIqo?@i)Up!H;t}hx8+CF7nGaQEdo_5lfwfOw(zSwa?1S09aWKg z&T5J8hsxr=51C7FZd^G-`FnEUnlqOk3vUna;TInWY2x#AI7qzSQ06RS_U5-#?B^{O zLn`Q!MddDpFk;tm+jgboP13p1A#*pm3F|hx#%|?<12VG%MLI%Bhx;>DCnYWzab(SF zncZ!>OAhddcZGY_iVg0CA5GEPJjq|2o2Q2x#>@6@o^9>zt*!X;bQ3|bY31~WZH5Ga z8rckQOHfg?3MEAslqJ^lM-Jqc?GlRyGX7f^M=s=NFE81(Rn(NLHtr3+^u3n6b@O*( zfAMJ0#%7^uW6@$4#3Eb8Er{x(mT$?*;ELeBR?D~F5?4?uvkq1lPV+@qW7iCDZyCXM z&XWGTW*5TCC0Ag5U)HH?ja`3n57b1d>x>3XFE`0twr+XekJc81T@E@1t6w30`CezYOESE;Fuu!J)6s+O7x}Sju0ET4qV(z^mSEN zDocj};`%@Je^L9p&Ws=Tys~m#9kbQXtLX$z#XYdw!PFM7>q{oV6{0zz`ChVsOk=Xn z>beHd_e&t;h7;v`VsV&^RjccCdA)n>#jb5+cDz7eVG(~6C(c%WK%M>GN7$@0Or?l61Dq7vXt&6#J3bI* zD*=tiW$n@v^)G7DLy6eHyw;%rM{K~S3WTkjs5=Op`;(v(1hJldJI4ays}pgkjcVb4 zy#AtG!mBz|a1j`7dJ)b#2#~Igu0dQ^<+ZSa{5T#1mqe=wv^;IUhS%HGz)%b7_t;Q_6ue!g>4#Z3{prwWXP znWgXxNS#KL!JLxel$ny0oy1c$n~)F-MI!yO)KKQms*%U&%RH^5J7MU#MkC2<2p`>! zE2y~f%|$W8E7!L)NafjhH0)x5NoFxxng!_a%jA+AFK-XFYqCuZ@JOXIgR$`IU{iB5 z0*2g|2GAhKHy;sJ?F2aZ)?ai^j|bQu+8#0i0nyvHX{no1HlBkL6aGVnxUnrw`BhaS zfYuKm4|oD$T(b3FIw#~00yeuZ>0=;na^X(SbiH#YWJnR$&Pp9Xe7GX+;yKRb8EUZz zpyJi*g0_2#U43mgn8nMz-kYMOQ*p-zlK1XhYdH(HcZ5U|5bJ(JhN`L#mjgxf$Ar({ z5uWvbhGK(asnh21)L#`C7aZl!LvHHt>a8MZ+J?|dMCR-vt3f-kJ5exPr9JE4y7BQ} z@U6jAZRtTas_p$EfEnQ=R=0|Ls>aVseq~Uo&o<4U(-{Lq!{t((LK&!Ezk*ln|q z&?&91cBHpXSSY!IwH|-}{ku?Rl84vwcx7ori`csFc>ACHgA?SO4lDbQw?E+jJdTyt zfA$=A^V}!;v{r;3=V3JO+{fL}Nfw6}U%iPF4hd=vn?3EY;kwyeZ5@oQW3LW@;9&oh zwUS^A)pFJh8R4>xtoQ+MgeX!f?c${UwgZg3`U76AZCV6&T+?+~K(!&4iug-r1H^~t zvc8eqg3Cn+M7(O-V%q`?a+G}YZMST<eKbYMH`QJ@9{KFOM8x*_a20e2yEhDGl@)BCf%YTUmV{v&=Rc^J@1oBqU1|N5CPmtfZEF2p077vizC_p1O zgF1UA8sF6<;5$s2R(~zhgx?<81ah6n#hDC8&l<9lj`@jBIV`%Ae^BgqOO=`(UzgP_ zT{pm)Q9r_|ARoZaXEL(Ii`gEj<^x8()g|xr+k+lz6zXlQn>SQuU_Y$ah?K$A3 z2C7M`44I&$B z>{hfO5=$Oa!|gvur@5iGW&ju@v1&lX4yn=eBlPrZ^@fH<-ul0VMwZ>>bF{+vb8W+WtAI zKMo6U?Lww?;mk5{I^58&QMcUB~-ZgaMe$7Wvh^x0u{ zvrpUJZ1EaMOB%9jDjNCD;cR0~kWZF)4a6oiSdw782=)`8fuXVP3@Wd!tthV%;g_u~ z5B3wKfnD3UTS=dUeJc!*Rx@NA90&L4?>zmTHjkj=LdAi$)lArwgpVd^Z4YsKPRXN@ zQ)p4q%rv0Gbs?9?^zVtw_n5X^A}&2}Cexi6Co&x`RJ+xcJM6w^jnK7}UE{uG?b_X2 zj)>N!?2+Aj4uk*S0T`=8^dO})2B70UWD!*go&B(P_mRWyyVr=%yx7Ro@n_C!0oghP z*OZM!%K|mPnk$88{ZOL&nzg&#kBFUKY@w@p*;?7Q9p1La z#@JZf>LpoAb1}hml(Vi~BWEQ`Sh^eIlD%{_xywtdB}QVU)#nn=>Q9S^fg z3uM6=zQOG6KacV@#%Gd9U&bK*Lnwr`=vz}-6Ly9M1_t@ZHpJBH>s9n%r#)Ah*HnAr z99`g^FQ7es#H0uKWdy(+sR|EEjgJ!D{{pz?>c6y8yVAJY_QSQe{-B%Z)d-fL%B6wY zu<#%_8Tz`+1no~n2mB~{=m7o5ooKoJDHs;1$NF%;n5gBeF7MePgw_OChg7RVLZZWc z&>{odrXh+iFQ4py^iXQHkY8lT$P+W)szY!X8?Va9t}uSG_2fnEpEvG(eMYD&Z_01Z zYsqgbtf@&YOD>HrQsJBnV&Y7p{BU|B3IO4>(ma!xlUrqki<}|5eP?_xwr@6!0kU|k z8+_>s+Do8zgQ)!yidK9JM6g)$@l-LoIi|Hut7#ZVS5dc+$sr!KMVu6Xf{Y0x#yZq+*4I-YXVB1K0x(N@r(Xk*}?#FA!rO+NL zrwqoKyh?xEPhSzuK>^tT{G`EyCV3aTOqyWGTA8 z6_C{14w_B3v-r`2tYkECeaTuQRdZA0w=bFlGL{g4c9mqz!EdjBzJK-jY!Tl10RW`p zb@3<_rF4g>@m}5OLjRNQvjeNgLr`UdoUYgNbO39;g0Qw|`tk>pgqV<^`0!}e+7IZV zu;*{%h0;SGieUx8=BQHDN4KL;#|kYe&nGWmgu;1oMNUb+>d-}Up_u&6li$gq@O7Vx z#WCgj{BYI92?gjA%eBN6<6mb<0pC1=*I2YRft`SV;S2*YtpCs7OPzt8136NQ5H){V zE7-OSg*X4?LmlQw)k+MldqenoxM)jw2sA)vH*x$>^)oxnA+a5M1X^vifP+KkjDO}j z5IQ^XQ)6iAPikQ$C0oN2-wjHV{?Dmk5?ILBB z+si_l1hSrODlKagZP8T4MJ6Of39f8pLUy4@!j;__h9f=smu@*5nfPLB2#OiWdWB-E zD;w3FHbZ&!$l)&q;=mqk4)rP#n@gHY5Awu`y?S`oaRL2iB29 zFi+%X<>ZK@nYA595Z_X=mg&6VOlNV^+2Wg*=BB2A{4?39zk_Wv`@to06wJ&fgdNkK zHXkm@kerGDmb>JhqcojeKtE-kO>*NBvl24nGLo|#$&b>@vefod#v9`wvQvpxXEM1+ zzgjq-vHj{`$V|lt4b*H$x%jq@}WbFYjlI<-U0$Dx< zFYi%$fnEY(lY0gSiYN%w?@~(PHgFocG2>aOx8%%8J*C$ec+As;j3nyVWyd_RikwYh z>rFpJ#K3%Mvs`PF!HIa=0BQ!1KnoEnQ#{~AuA~p>|GPUp@~xr;k5 zhkq7_a0Q-x3TAUH85j3i*cHEvHXl0Lrn0H&+csZS=kX=ncJjJA>9d}^dg5;DgMx>k z(Hla8Fyk0ZYyK|$bJvfjNw4+fH6+>IZQrsd6C#PO(;b>ea=5a_&spj2Y!}LXhgr_d zLv#`d#Hi@|9{AY40f0=bqdX5uo0;n-(>F!PHH~tH`Pan$bgR7WJ5l3z7E^SG79z+b zJ#VZX{FnIGUj)ot19)6lhiyyA>&WB&{kNgN@fyD_f$Zim9)8txCRK?Y=zd;pr8*w$ z=ngAqQ5U2neLAz4<4{R=swJ=Sn4rDkHvDh#{@>({cG8bWyXE8u$#0Cgo@FstsS9;D z4niZ1-`*B(vynPxpvR`nY^N_#Z?1_t@`!hK+VUYCArcnwtpkrpuS#OaqqllxO~1$D zUw;$!C>fX`UzK;rCTF|fLVA#$ux70L<;DNy#Ef3(J2Hv$3k>uV-e&y*D{DpTPGwzX zWv%cVTU!|jS<78rJIMl_R7XBi(}T7;d3nb3>*LN9e&t1?P2>a z55gWM${NJ+Yl!kNVJDDv7-0b?g&{lEhlk)tSzrXSr|Mz_Fv;#R5^Ul#{e^ zlw~!`H?IByR|QB>OkQ;4^{L!05~}m~hNU57w+>|Y|Bo-*uTwY#X96UOZx_t^`{UMu zWCI@;=)3jD78f{|q}RD0{;K%m-2RZ@6N1kYCWUPY`XF~J?>#GVy*LAas~&Wc7A*52 z^FCai)3j1({FKRHH3cnaq4#PA3pI>>qV10x{!@Cm=lYg;$IFkM67kh@m5Mn*XonLcgkzjkDUA%hD zVv)Yvl|`MeJ}#%Bi&%I zG>SGr7_4=+pLxv*S_6OLdRj;8U?y4u>n#jFw=k}GLo6xU-&U}CQPM0 z>8PdDnWvlSIGE_YL`@7#MMJQ-UXV&3bnTUZ9NmImbQCJF8esiFbOlb?5wv9|VduK3 z1KS+n$5IcqvQn*C`753rKmrqWQ0^f^bWj_yb!^Zfd8!Vn!xJK6VjzAAhEXt7k$Ro< zx{is-ODHPVy6B3F5@PZM%}Q7-K}c~(DVK3biK+~i`s%Wac`{E9dqZIjm|p93GPwlt zL>L3P!IG0*BN?)!A2cbg`Hb}=w(Eu*JoP6__F>9T3R!8pGX+)aNh^}wz^fS}n?g3o z`)XOT0X6_K$bojR7b1^r6Og%(i(^79A+Sm6*^tn<@EDoS&Jr4s?pYq_)ai;5Xmnn2 zLWvykm!Btgx^`O1E7My;tDNLvrUj354>H6ZC)0!AamD}cC1|$5R3ZCO@be9#^6WK+ zvzqL)&H!U`ngM4gPMmlfqKN-LevnB{HF`8IeYO8ygljt;2A|J@v$w%qD5$af_U+pf zfBxA=hw?OOvz)CrcXNkz&-ebXT@xowyoD5@Ve&Ocd;eKwYs8VwplX>7puq{HCT$+> zu*PtZ*rx!+{2Vu)HW2Jwn#5UHJHgV~OEyPEtf};L0*K`^2KQ{?!tNq*W^&=(HDpkO z=e1NxL!e^EY0?JbInfyE;Ti@KT|NrFXW?X6n0sL}g7FAKnLS9y1L^ATFG(E^c%Y`K z7v95mG7cuH5t8dY`B}TfG)XLH0C5>)J>!!yl4De}cE-4lrd%6&Wg{QMZft`YiQ`Ad zoW8nKgd}fDqB#{hF$POFO>8TbGjAx^ zB%suvsUJf>8oeDf74u1??z!Pl=3Kj{-h)>T&YS1PzdF5UyWUyVC8cmdm?sQFOvJL* zA*CZDCT{^fjEf_{#b?xm+3@g$m>5hL!RV%`)6ahVkEJe)_4Wz!P7*gKG@2$1J*OeYgXp0;Q!lv_XR9*Y+GGJ8=3Vj z2I74mi&y(G8V~)TQH!Xqh`yylMJqrPHwU9{uP7C&L7Kuq9I4+u%0@!38Qo}C-r$u^)Df^ zYJ}ASLh5qpBPkWK;;)4Z2r4MoL+Q(o4z`6ce)0aHzC7_%@9;0Jg(q;Sb<}Ly!uTfa z3;{ZbVRK{53F!u_o$XJ@n7pFIBEG07D=$y9z9ijGPd8`h%P#x-L7RkykaEnSavui4fYcrgx(`%w~1L0lW=_oPm$#0K6CQ2<# zcDPV@i0ozV<`7Wtb-HroH#iom=wDj|TIqu>Bp`@Z`$HZu5>!HGyi@>51^Pms6)LR| zsS6~5%2_%ZNb=bZ-7|~BZ1oy7LTGwGd;H0*d;5q=Rc?-`2;x6tgZ1$-m^X_{ zsBSn#4E$KCyHCU=VqTKo9L>*RgCc^0&Eh_)x;5hQM=H8>B*;@%{vW#D10ag4Z5sw< zcGpcF+p-3B*%?jj-H2Ud?_IHCK|rNT?;REvmbS3;4uT4(s9?i_(ZqsX)WpQZ5>2AU z_!#4vIp@Bw`?_eLip-I3kt1B+3NJIXV%O7Ezp^y5 zWBn*ZYq3v3jx#qvJ_|_~kDh3#r{J963=*aYHOVrP8R#l)$`b>!z)F(WNQ4y>Cd@vul}YL+oiUJbO3=>=<{-#^Peo zH)uI<$lElEw>FZFwm7`CF|&oyx{Q~#S7YfBkeMEGD};5^-#RU9p)6TNVWWK;LfY$ zt>!DLdD)-cxoBqKR5gNgV(Jneh+ngx?7w&V-i9ZxzsAT~FmRnZv+N*HTyI~#{fabe zuHGfcpBO^3h(f&gI6d*xI|V7}mbfDyX3;eM*t|mC_U?&h^c~8apgj%N0hc{4IGsip zKg){rlD`I6;cPRNcHXyf!L-T)*t_5mS{+EgMZ(W+ax?4+O(h0coWnMi(YzGDNCRdue3FKaJw1HfAk!_Jn6lWe0D=F?q-M!N?R751x z$!9yr@Cu?mhz!` zQ_Tz9^2IZ7%R3*3A0D-dL8GZN$__5(UcCJpcev#q?(lgHh#*}>f~wEt7#+-*Htqjm z6ux}`&~`tvPm`OgFOABx#*m>e!nkh#x1rF%Nd0ZDOqOjum2ltLiYCaGOcJ$9{#(Ts zvKd_(^nf>$Jk8HPGq}IDFkH5xlKOc!C{C5{rnk!RfZ#1B6`nHk#u-fOmE;!{IYs>; z=GIWlF7C(xn}Qf`!!!9Ak!5<(#$!LC zTDDEw9U(?ElF-`z%SL*OmYV1h=aUOOOersI)qo+?PFzb*Efl zEjcL$d5|kAMbK%JsHh7+&Lq=+IwRjpO@EN^u5HsT=qG0}j`_?1tR`SK6tzVt3ccmM5co6Fow>ZLm$!5iE}PKW=Zd-zyK3&sed`_ZzFmT5Q)Ao6;XJ8@QIao7}12p%J~Mo zu|?qIe1xazpIP2$Q6zr}`-L=7^lt$43DbzlshzX``=>a{0SU=VVto11+#jebXjmYM zUM}CJ!C;7@i}a3Y(Y=z)({S)5zLQS)Aa8pZ&!e612aQ{@NZ!#({gnh@tPTzFleDaw zQ9E88799_2V?MMqCj*nOQoKbfL4bbB8#BEEQl-ID+;lzzW5j zcgC+WvTnbssjRB5mQ4>v^YYipP9HX8Gwr3Oy@s5)KMW^ZP>_NeJJ@-gg{k`C>e>+iu71e_ZvYbDd}Dw$lt*(9*W&@JD6>|t_2#} zD$2(68~6Cnml^AJGj;cR4g8RglZ-C`(MJFJ#K-1n})As11 z29J1yQfS~YI61>NNce`12C&n27Pj(6z7;Z;6yC*GIt~A8+waO05b~z5LKY4wGa@1@ zOzj=z?~4qL6sc$V&OH$TZ4us4-2vNQfDtT3Vcjib7pKtmu zT?IBR{$I$%7vqU5aFP&kP1}9?%=*jz#BEb^%^61oI|m(gKIYb#e&q1En@4uuBlbsr zJWrN<|HG5sPn+*I+=qAaUv;rHX%kqB>Qdkcg^+5_Szd;CTk+*%D|%szx^^^_LY|O8oN;Cu+nQ; z5xXUKPIJgXnN8caKIKPuerp#mTdAd;i@)-^RKy<7z13WNP-gOi+SZ?srwkrEZc4v? zf+0#Dkq})RUKC!KQIuSONRS~sDJ(8DH!wFaTUM;ikIP`A4FQQE zA%SUu`e1MuM8!wN%2F!zmAh3LnJFn5+|``hCyMT6>`tkQ-xqy)+g_(aUAb?Kx53*G z?57QqB_P929h&5o5D^B1xGq^2l!~fSvoo^|Iq9YQ_h*5C5HiMTDgf<~JaH%WN$HW} zC(mR)iMtlt;(gEVut)jE;Kc1oA-Yvzv9e?_b!fDi*{<+)poZN3bnQ0_F3=p}L;n*% z4=$HM6s513S!?Kn@S9#kV~4oeZe8uQZ2RV|n>Jg0nRPbj%Y>al?!KO2c5KG&lX)e3 zrH2^9jJmIqiV_cREcOVrbM~GQw+JNO;^NqaS+*zE%RW2;N47i*ZcUOQ*#;RG$%)X| zRUJvHjVp1>NzB$7q8J5jAI3#r@{?;G#! zsSDU1=HL|taY6H*$R^Qx>AelUg)?q%xf%tGSccx9_SO6OsiKULnUQJ18G-shT}W|Y zdX!ccmyi$Qp-}EKn`1W7EG#Q5HD0UL>ci7R!^0xNqJkqbBK3*dgm^

zA)4ApBHI0o=#zcPGS z;Z&!ro%w+kGBS6KGCVvbHIxgznSHPNtSni2yrej@II|?(+Ig1ml-NnKwsp?RQ^}|F zO}gZTzErxxGax!XBe5dpTEex+YhsT70Ytaq)>Q!VItrMO57SX_GJ&RFEXQ;dM}pfG z%CwLi`bm)1A@Wn5V`+F!62yc`u*X{|xAnJ@ft#TAO8dxuN%m!a+1X@J=KkBMxAk|B z4J=Lf$f9FIV`YFDu2ddRJCS-E*~8M4S`u4+j2P+A0(Gu7q4udQ#fn z^u1|&(+vJuc&TN$IOfr2^-D&yG(}gH)xhW z1L^au(#*n~q+;2Gc9}9_;exFT(~!+7W-QG~8+dWkofw3VW)O=Xe8sm7IW}L0H4P~n zhbobRk`&9Pk?G3V@~Ena-FRLs@H!=()}Kx}4Jab)24o^C4V8IW1(^j=xuMx9kf2UU z!=~BkIq6v$I7M?iv$9Uv8}otWv+2}k8?{3C82S@sR zM>JQ-kfTR~8^ex8Wa;$!thDBWvn6LL$Vdmm&LlQdgI4yf z(Y|p3)=_SeTXfrGyp6wd)9iuE=jayd795MXCW9vxY;I+bPyKeT@W$=+QH0jvjq?*7N7BtP1uUhKU2ONN>MIOxt0$MRYHGsf88a>kP!SoAn0w;bdwSIKH&eZG5rSRI(%=iaN$FRYKKv!9f7%q7{0*GQM%&{vh!d@VV zfPI*uB6wDn;`W|UNT_mMf#qd-8TLXi>r&5rp$as=jAj*)>4}|Z^ry}IR|v<(n+<1OR4D61r~_$K1@K4claWM_vn`DTi;Z|G_zd%>R1miu|hQ@}*$BTX^tN3{Q*2+i8MoIJCn)-T9+yPTxUvsxvq{HDiA^NnC^nE~-7`%bt?wo1x zU9tnAP5RJ8DzA7 z&bYa>r;7G`JeTy(VILZ zF(rjSW!xvizH`Ir&!d8=|gyfYv4Y};Bl%7xBm^uJ|jQY@+M|JV$E zSU}!Ivmkmn5$P@@7QOW?CQuUMQAXp8Uy9$Ok+FlidCPV?2I&qRmL|J@W^61PVTkxB zS2Q4!d){-KC#WaPT|2{@6Qah*`6x-rnqynf1!Ls-r|=H`+y!!scE-yU6=pl+!aE!0 zBgwgvW5-I)$>_o`CHYalb>~hbU$%Bwh(cOka+0iJv3~&Q4m~7}a0Hn3!S+}n7NVj1 zP|kMmFGrT-dZlk{sGqmWyOSoEY?%&Tg;K#>1)I&A!<|`5w%li5$@?RXsLxiNgVvGl zh?Qs?bVrY=5Kn3|Lz^cd6cLAFV*edWLM6n03h)!fl&Y`;Y(xjTQRO;n&bGghtRv=b z@COc5wb{dyqwM$;bOUQ3f~XTMfbz(_ zHHg|su{o=_<1bbL#Yt(cC&NQp^RGHbcJBJ3KYBZGh+8aL>bGSRhqd!P+%jF^W$ZVE zD&n}5gao~o|44%r=!JV1pWGrI0l5SWCGGOm1eT`Pjj|DH>b1|19wd{O`U?nUwVHi@y z)32?C$v{5(skX1+JHB!ys{o1rKR-fd#h&l}P2?)mXkIQC21wdvP`b+7B!?FNAe{JF?#Q4#O=aIHBWfx#3o2xvRn$>*WhQ&2 zopiy;6;~rzc-TiW@eyIVF!j<6r!OC?I&!3#BNOg2{4N@=-0I`x6vD!LZObIYgn_nc z!RDrG_b*jmtmYs{V8vwS7p4`eJMR+>H^nP&N@&*sjF)$)vy+N$l+uWPj8H3?v+BZa z4yncBlV?KrRHy(3dSi)OQ?u&!R~K#-7U&Yd`t)Ns56FT{Ia&gQYd_{pMcvu+IE7QU z)?b>NgOuA-2dc{(kE@8YJ9U;W+hDhJ+4>WgS#nBRlee#;jD-?yZ-!iwkblX!_R-Q6 zPU~0U?0z24L~dBCU5Cd`#3Z4I@S^i^vpkD&2I7n8pGUy~+_75B*mRdJtXR|t8Vsu( z(scl_R-0x?wuw1h6SFn$B26TJR6-5|)lBDh&Y>IBAtx9Z_i-e>zW9R`Zko!OYxdI) zPga|Cq!}&2d%k?l(XXSq#FCWK5*6Int+nl~l5IP7IYx3WN0aNDQP#Fv(r_rq z9qG5X+RK@Xlj;Tz>;wsl0|gU$W%lCGi9w$dKu4rFBVif-@D0^zDPJ=t zk~fUvH8JxUcAs`tQ`yidl)=ETN92eB=t;n}pAn4B1Ro|NKp)_*+L^H<%Y}U-3}6&L z4BGwE+_!3z^%0Ho>WQ^WVnrVUM~4CpUL~SA0-4jf#}A%Wx13zNG$u)07UMvbLUo)9 zyeI(3hcZRw)y6&Qn_t<@bqH{D_2Hlv+JgxV@Q(FXw=a@x-M;T=G&hJJ5dKy6R}o)X zQyK5eBxNNVjjGFMPG3HI+<9Xz`&t-|y-_Rv7$d@=Ac*+-a?_cXGskys$Ysd@;Wa}P z62%Y5aQ&k5aL)W~x?o4`iRBbr(|4lrGS<3xS}$tXX~pbtou3sco_UxoVZvI!TsoT* zuGeDRE9;zL$JDm`W0JvocCDyZvP1J_gZ)|-L_>?>7KJTlM}d{&10JT`@h?-RxLX8k zruez&=J~I0H696c+s#72WedYwN_nGLw`jjetwuN|t#ICwyID*|l>k!RSF~7;lBeHX zd{oB$3~68-Sjk=E{d>qNED{-Udk%R=dk2Sz7W>OB3udS6=zWGBV_xqVcC8<* z9c&&Fu}ECIj1dM%<6%r-E9C$F4knU&M1E!pE@oZ1q9Sua1MC0CmIuR*vW0FtGIyvI z2#$JWDn&B|I~N~;#2osZxf-$J~mrP)e6d$QNriN=;t-RK>c|lZSSV9a( zZRtD4Da6TVYo~RDvCGUy;F=s|E>>4wx({fiAE8RIk!fyn+X!sKCZU3XoIM_5E5T;eMy=TI+iZUF7d+?3K36U!tN=n4u|ZS^*^ud;pg2Qx`7A!i8Tx{9)W zc{PZZOD>;Szig@9hGiUe#>GZV(OGi5vHUcRsGuYj#i1kh@@XT&03p70<3(Uzwvaze_H{=Wzhv$c~?fVDIX*X%;X0YF$Zf_<> zHDHe_%1_aln#mbyQ2_)`+mOo$LDh)7P&Mr*iHwem1_;SVD2fl$hQxx?l}L1tPrL%QHGrOTs8Svl9!W- z6hN|)pLRlc#Dt~fM;1b=Tw)Zt+YOm%cx5}Krx4?M3xxZAVBG!5b2OvqS2jaW0+iWZ z+p0}>m18!n8_U9rxu5iq+}sl%UCJE^D0N(^It$(_ok5qO%aFZly7UL>p&~YO0X$+F z*#hUy#!uDsxlxV+;Qp4om#D?aKd~oLBN6$pPFQKsFF-jotZ)#6zB)l&wvVJwC}QGdd|e zE=HD^`1v3@QEig<5!W4zb=PCvHRmT_-JB$&HbY$3@b|i72Z^Z|Kev7L9`U{pemb;h z?&#l|x4===)#PvTR}LFS8j*UvhOQC(p_Pr#o!Kv6feac{Xfm!AWEmXpNu6XkFh!g2tgVdrrJGvTcj2(+FaXXR4nBRz$VN#fg>o^*S z41V8E(sgAZDS7moEPwsz0txvH!Tl~TdS_rV=kX)piX@MKps>(me(|G65F=+Elf}eB zvHwA{iQ^9{&unX4zi!*M_3Ik9ojudocou09u_?;4+Zxub+vd1VEIlihcI-}uI{Y|j z_&k39=i?{u{}ff?kt~p+>^lyc@sBar(VVO#BY;Qh1v4=cAhcc>s*l86FESDzl#`Jk zYDbr{7o4>tv0T*e!`fJ@CrEG=UE!0$3|1b=DYVgM9qV;Ungxit6U_oUj#)Io?oRLx zWZ@%Dfjk1OFBWp>=G{`#%dtSO7-)-%+(JN`-b!I_lZnLPFxe*ZNzOnT+cM|bWD>{w z30OM|geBNk+<{mp2sCvw{;F8qLFYmgT9`qw=86*XC+lhHL;AHElt70jfh2xCCzwkv z&OJ6FXOV2)a7Q#7y;bO{WaG)ci8pTCL(=D6XQf9s+#ZGVBpXp^XEG{ z>K8UR0V>oRw$p&xjlC5oH=91-k$UH>FwK3S!i?pM_Idgr^n>A z^R|u%U8+61&I%cHtM+>7H+gwk$HsbjZPI(~wcgk?_txxIx|*)G`cM*UwDQ`kKe>1B zsis@E?%X+Z)@qqySkb&=lbd(e)V35KJX3RhtxW%XHaKerKEI=9uQ#9ZDBdaCNdBV) zjrah3L~ii`uqN~I`DZGYv-}D&v9D%5wOk?M3x1|Q+enT>iRULpnc}961Ux+$AxBBZ z&zUox6AGn*AFqJkn=kLpD}Y<|WBEeq<~*Q%XZ{Fb7r94x_y=&pV8MzB4DgKdRO5xWVQf#?pGMMI zH#3EU$o74&zfylnuV=|}emXf|>i>*5AAWl2+?%wNV^#`>EShfr-Enlq-oYvGT-$c`PZ?V>8S3s@SQX~#TVl&hhI~OhK_C+My3gU$y~t(Q%;uL zjC>asgcCs+=*A)D6hfNX7h8!^iZ4w;q`T?Upm#6L^)F4k@H^^d*S3Yw0X*PQ;qKz+ z;pST7S9hSIrj9LGsf-R577If*JHU_ija6@4YTU9iL#x%&I+^na$lsxA2ogRHfESw`@s>+sYLz zgpND{z7UO1%}V0JuhThBbX4B~bcl6sT(ftC3S#o{arSkF7QqK{ z6Bl-a$w*Gm&Qxa^l4HT0zJSbvm?SZKO@>-WWp1j>1Nj_|xY08qo4rB09>fLwMD?hT zu#C3RHes1KC2jmNei`{^DweY^Awwv(Cr9ONy+mA3Q8LY;a-?Fpk-frHtDERHY$9^9 zBgz!&Y&9M1R3E__j(JW$eMmKA2(-<(=_78_8v%k^HN7Ten(1;5S9R!n+NeB1(8( zmHaAxh89AhGr)ULMqj^yqiV=oni)j>x4)Tv;1_H2lB_wP9{VEv z-IotYFWE1#`RDX1MSae3*QRk9wi#O|)1HCUBAA-JIgZ>YZh=)eS&2bU#mTFB)xpzg zmqM~vq*IHOSrySgq0c+}LK7XTqsu3*q+LTR`U2OGL-t#Nhdh(^7VaPq9qq<_bVM(L zPNWaK9cVq^c>4~ZZMhCzqq{bY4IH~jiF1BTgAp4C7q(i6gMi8ad0GFI! z0MGzll^u_fNcK55_fy)#iGHF6kah*|#1O3IhLMjKkS`Jl457YJ&t{Od*U1+z$;UD@ zkyhv#fYwS4d7K_jbKh~~Z2M>>$pv>s1X3m@vW@emS4>uq8t1uoIv5yc0D_%Ozg8h> zc_@Btoyo4b|HSiW^@Drm4L3MYeoe$<8%gp-zO48wCR^fd>JjwpcQM1lMl$(W*DwwL zQb}xFh_!QG- zC0Ub6rXg~$0_1Gu3j`+CWOD65xphJyE#X#?i2@(^Z)pQ2t%gG6sL9*xFp4NBV!^UU zd^B)}h@sb=8k0YgrrwQ_n_7_!@D9Ex|10t`Cr$Y?8;R9#U6Cg|RK9rKy2XIt{vus` zc3lfgc1s|sHO7&6Z6qPf$$=&C^^YQP_2(N;pFApSOYGA+>(a0jR4%v-vReOo+7EPu z`-G6y_P*;p7l)&5eR+qzIJ*2CfUdWK9u+K4x9yAt<|DM)7MYfDcdo2WbknHu#qM8w%quG z)6XorI{(J{`)&{2AH-ZtER}Wg$g_zRfvFw|kx9yPg2wx1 zW6}~6Qxnv&F|qx$W}0;9P6_&H%YxK zD{6aUWcbF4n2aP@(bo{k?w#AX6lcHY%C=jcGLJjogg;O}_@v@P z^kINJoWx!aBALi}UJ72X@L5RCi-9^~c7 zYTv+;liti#w8F!o8$^c3&>r5Pf0NR6@j{TDFdXh)VG(~i1VjCUY-V&;RCbI^e|_#x z6Ik@2{K0^td_%gZ+HC`spikR!h^W&s=7+8febz*_!tZG-2jayNf41b^*?+QV;Hdjk z1Dx*_1ejk+d=STbDfK}FO6sWb*MuO%D}5lADM^)PfQHSJ=NE&93?b(KF`ocHv8X5o z@T0(XcO(Q~&=vA?&}0k&Ju|9%PvE4x`}z83yhMT_?-iUXo$T54j#_(pHEq z){0Jrx?JncC!#u)?5x2of)AD;Z)7EY;tz=&m|saSgG3Le!=2XtQ>6{_34im0PF?Qi z6ILH85mpE*tf)7n%27!JZODr%)#v3}11D?*eTHlMiqAAh#p_inCvkwmM~~9jNTNpr zG968d<$Mo(we<*=19t+JKsYyWzQ(TD*iO0CAtT$7YyT`=WBN=Q#*AQnyk%o?Ux~O%Kc+au zH``Y&7+WM`G-Qm1TP(C9+Qm`hC=KGAyLV?7BQAjz!7bUby<-^CtkRKOCI*Zid233&AOfa?zja72g$abf2%fH$yI-X2Bu zHj>xo`Zn<)BflwypWxU=Y?FT~6^sxG!kIN8ijDJb!hB~rZ)^jFiZ~-Y{qM?8EwIji zw-W{QW(1i(w2^GWyoO_@zxrec^fC4&ZL!gHgTLJMR?jYo`!)ejGD9vRCetll|k zJ~fk3vw7>+x~jK2|3D`1;G&xRNiPqw$&)Po0=X|yYZ4}J>NjHQys5LN%=u=B)tT1D z-MQ-X&9-!Q6S%U+b^f=N(b-qO8~Z{HU(ho2&yIkg1O4&6=r(v}lFwzLRC+g&i)Q&x za&kr^tn2t)NpH~$@V#6hKBkY5+IX5VAt%9yo@T_A{Y{pyhQbEq5`T=~8}RwpVbRu+ z2E|!a&@Q8`$`_L6mrSjsc^LCTlIu2OBBS`RhT^s8d!g?t-`zDtGUEpZo}xa=B}uN! zxhc}PsCWo=he@`JNe-)pPb5L{y5c0342fXI33g9G_}rSw6sKkwN>qGrX%@6&+3ARO z-;t0np5FqmLbrFj=m=;c1u`uuVFiwA{*QLJq~1N2+%jUbtaNN9k>(>&;Af`GHj>h=EHA+K!nD_wMvZZ`bEdsvYt zGnq-(7d-so`t=_kF1S8%<$70pKUQGA4@nP>N(@1WM<}M7;^~5AR6WA_@Q(GBtJJg$ z`Uzd8o|u2#jf?k8baz)Fo7Due*2Vl1V#0HJvo5hVu7P|CQe##{Rh@`h7#rQ;dF8Q8uc2wIP=ADF1$crQIMaXU!l*BkS)6i>Cc~`cdabD zbdmc|SP-rc2oIO($TsCf)PXwj*IDNzye+(z+=hL9(HmZuK$|vu(yDl*xOvkQ0=FY5 z&?<-*FVBgrmP|49F_8Yej?M~ z%J_dt6_3D`=+HhXEP;2HwVB8Y2^qVK44h8j{09ifrB}=ik{7Gf43v#KT*P(6mlc0wv_gU=$@bQU|oAHvEjuXaV8CLEFG- z#1Y?H(|*uX{`S^f{}u#~FY(5WCdo?pGW!9rGo03|g+-JQ0uRO_OfUuYNh-#}fn*Q| zn$}(n=|7N8d_-rf=^5x(YVmy3Iaqo`hJ&b0lo;zCgJuGeN*nqPB|ecH7vQR~eWNlT1*rDdJmYo5Noo`HEmC9y0tDk67f z1Y)ELF;GoA>c*I5p}ajFcE45n68s^prcOi>vZkIv?XMG!EPG?xrKD&vV-1lhFw ztu`h~1&rZqY3=FiuPe{Xh*{Gq()E`5y<|r9t+g01=4i$}?)L$R)K@}B%%fu{yOis@ z35n73)gVgi;x*_YV#9wU5XeWrW1O@X`p1$Rr)ZbHCppSqzKML`5o)C6A<$$eC#|cI z4mDUlY?yTJM%Y6$d(Q8?_t);HWv17F6h;|hvbC%(12k@G10?AYBEkVP*%=sxsB*M9 zF&W6>#7UOJvtSWvDp1~AesKoia0aBF8uZe87oj^t=Jx>?59Au@tPe}*f;LNjE5!*Xt{Cm+qo(^ZW15Mi)XCJGk=PTjOYWh8yTERBY^C?=t=YN2Ha57 zd^~4Uscs@iH+bP)nnt&&XaKwoi%B4hyj3&{BVj*4GnUqeNZd%5#lNzC2kf(5{9OEE zH&wdGPR^^GJW(~lZ_1{5te=a~{(!$MHV>k#@C5Fz%qcJ6T3*zN#D6N#!jrL^$%wI} z59@bulMyxe$JnEWTb~|+A07iS%k8x1+*eeX?J{~$0-yfkd`xuh7ui!kP5oEuTEDa@_1t-K;=$F5H z|9C@ny#+@!fYp=!`nnw~tszT`PM;x~BV-&I2VYW@FhQ7ri;@M-taQ?4AURH17GEHB zSOYb3Q2R(`(qXv!!}Ns@nBNQUTlalU&)C3*sHRf@ zBf>%0hYT-eyE`FcP~tEG%ZYnnNSfP_}v#m8>LmRL)-%27it2F}N z7ooL33@x%vJ6S74{EFlu5UVz(c@h^2bqYgBZiIDYZgE_(8sPZi;w&)pX&D+;KksH@u2-haq3f&MV1d{xfrXGd_AOk0y zI)c-<5aMsq_k;68XVr+~!{Oja#Z!hHWHfNiHjr7>$}gg_JU6=!J&-V5PWfC;<)NZ?~>U5ktZ>u{{U2`DK`aoKZcbZGB zU~84;;_cz0lkuZk$a*=@(YBb7cfus4n{JnnTj$0uY2Gzy2Wok&e4wTpyn z|4Fo)4>wT2Vk?+khG<;|{+WdHAeP&9KbHR{I37(Y{WvUqK&5~tmV>4pZphHwc z)KmQWP7)4LJ{`B3`s-rSVhnNC@djf8gj-rb%8jg3ERTwTS~ZrFJ(|CkOruvZlMTlV z36SLHW#^}J-;?jfef_-z75M+pCErO3uv!{-p7^I_>u@C2e;>(*qr~!Du^KE#uhNM8 za0wEr&EMNFL%W(D@<3mI2dptcI!+fLb14*7grPe&gF0cbQnc|KE9yjq3F=0_03OkUI8_fU_5g9>tB8ddl-Pwg;!D{f= zFj+YndHHZtpf|n^h+7-8C-O47)JEc~)BIt&jdRmW2hvNiyRtnhL#$1FyPTmvwCR=P zhYmf?04It$bT~lD9bL0kAMHUm3cQt`ca*lh?;|d6uj|m8c$2)cIJ+ixkM%%uNl7>I z{D+mT#kCpU5l<@r1*yS%`4S4hz!>AXwFRovG>JY^dd!;?0>XOdWIE+rYW_O;r4^Bl zA=9UjH7So%Zf8E;CmSUdz9o;ak;xJp@y1#uKNaJ)SAPv0k>*1c2kFOGK4n)gcAGj* z1tpG+^b3*%$9Dg3iS#~Ol3b!MDZ$^z{i*am=|7E3R%7u-P;_p8?Dk-F3wPz+L70Dq zN<`;tVLCp16nuY?=mB$Tl7USBUoo}p%IBIGC9J$9$&m003;a^xmnj+jQ~IkOyt?F9 zJ|#WnCtfnP-3?xT!`j5qj02TP)3Ar)z3@r^XcXv|@2K}d?ne+QWk-md9T z7c(;YS}cl<1~huGwEbn<3nhkNLm7Ukge1|SN^n$sn0XYWe7Nx1q|Q1gEnGOMbNxxz z7Cr%KxB+c}TxZ4;W&-K4 z6m7f(&Bxy=@Kp3B+M#6WM3AH`MASwP+Urk{54 zes}>UztKfxKRsmi2Qt{ncMMiupTw`QvG~)5PXd2k`>r7Rg0$1aptrO|=8&z)SPL5Y z7UBr+$daSJ$|HzJmjXM5oi|^&=XonK95R&nSR^a}u16lj`mmP?cxnjiEXBV-=%_V*I>?fabSQ41!Dx+`70EkGp;?DBc^ai;h zSVJ1+2JM^@OnGa-eo)R^BNUC626U>w(cgqA!W8CO$72sj8#C!Y?R0lVE?Y%(0 zp17LdAnQyk$XawtN=!SI0TrG(9!Y{U$O_1c@V)ypkHs9ej;{`{@+pu(vsDO#JJP9g zLxQUZjiats4$g@S4sSiY^?Ks5BXCuYvm!%mX%TIv<{?8id@&2Kb;>dqt~@;OTn%W= z81$Ccj&Yf|dMSqm8s_I$=W#>(s~!hEbh!iZh%6UjX5z}D>%LC3PEJE=r25MfjpsAC zV|-KEzUX~{<#?g_&C1u`J$U`wlWO>6m$L+8N| zML1^GNC!mX6e`*b9v2-shrmU*qpd%)oeQ_Gp6@?fExvL6(RR0h$NaCi4XoQD3Y+Z4 z%LefEPpdSDpi2kA=KT)4Xad>yEDU%0(220x=zT)BM+vWWL|SlO3^AKzl?cicLOU~|NTN_@VC!eYW z3%Kwg+_O#2{a3UHf<5#Q;T9zU9QYuvcG zbH|UnHTN;cH$fvB4R3-GNt?Q~#LPs4Hr-m7$``|?RtCEku2C=B8RI94Ye9sUibLxY z^emHd>@gC34$#{*9ota!t^SgXYTsO;M(wg2@PfY3qjt0lBi_* zd&KE6Nn?}AdkQvTCOR)OORv)B<`(*}d{y{fL=L7zCp+8iVeh^p8~F;nL!) zQ}mKT*RM9-X>4uW@Tb>ZnSLBuGYpU&(^cUorT$Ygn_lAeY+Q7#p4CUkYExNqMTi72 zce-9x=4x;$$<4_OsSKqiHX89dCs+80(fvv@0jv20=qfcmW8U9!a8O5@NNS(A=KH1cVlP zfcUahM8Fvh+?VKa99t?0E(kAXL2pr9P*B2|uJb*VNWif}fH9AyWs>0V@L;YTsX%pR zSh0i^IaewqP=B%m+h`$2Mkg!vi6jAR%hOoJ!Dt60Hd2=)x)B#o2a9e)$FpZ7P{=dM zk(M!0^LN1rv0$NCp#JX~5WS*C8_8R9laXwd^X+tm(sj%RuV_{q9-b7gc5^ctK@dOj zl=JV4NI%(JGAtBN`Xm*ZR7CpUBE#6Lq~GD+$;4AKV{M(WPF+xtq%Gj~MnBu&s`6V) zzle5XwZ2J?!6CA!$iSq~O`CEysUrfD!O9XA8Mg&I34RkJ$J?rG^Tt}ErfU>X<1a@3gQ}xvwsvF){?VH#b zjjwOAQEWFa^RYKZJ=9zZ&3JB$oGs&^ddk zfm+Ki#L`_XN6%mwv3w0=^?y8(bYpiAE(C(_R!8R{cF-+Ta`0g8sv56_ZD0`g7f_2XS>Rrv;n&UcNv`a1iqR6 z?SSL7o6N_!JAAhoC`ilX>hg-}BkN>j$M?#4@Y~7BXg~#}GKFd=woC~03fz_9v^S8b z2EL^>7wKr3Pj+Q^l{zakB`piv7S%};4S2@0scx2Z*#YXlYg>zdGXk=WH z-GahgWm^Ka?%JUC@X9F-;9{~Ezw#)M?O=>``q-{57v=NbPL1@Tc*q*4Capa`gD2hW&<%t_^Mt%M6Za z)yGro0d%E5kcxw8sTCvuKJp5U-cjHI1TSr60&*%ME6{wTW@K{;XMm+XW)yYgsCPkf zesVz)gp*RCD2?3zk3U7gow-B0HggqCffwv6WQM57v1cuZg;chdi>(u$Lyhk!s{d9;6?zd9y1Nd$Yx;Wao` zjnto%h*axjNs=goE$$Qe3}!a%x|Z{|FI&~*FVp7c>GIVPkveS@XYU`ls={7IyEYSM zHtAu=OfjgVJ>0Y|>P=g+%eHZwDpm&hZ}PJ*UDf0#bGvaj^uBt3U0P->w`td!pq24! zwL9!H*UA)j_J)R?O={$dAsbZT{5tp9!Ec-0H#s?M+3x77UB2H@=3i1BwMSi6o>_o6 z*mz?7Z?dw2IAT;*YNfCv+sQ|Ji*oA2YoKb@*6`At|Kt~w-RrJx4PwW?=fK}ZM8*n>^i^Sn&@V*ZFO+Z~q+-J?AWOQM-nSW)`xEy$ zhJr|R|ACwBiYDL zBf-(ck1r+Lde?)Ua|{gRy)v+ znUV3A0RtNL1D9V}ZLC(eWNco`nG)LjEBC-RxzHz@&4}6sW>7fmB`cRvGfwe9m&R0* z2^ZiagojZNGEjylu!^HQU36L(j()Y4E~EdZhgI}EnFGN1IYVuF92+a8-NRdG_ZpMwxMoLO!Xj1%zxX2dW$h}p3L#B9; zo}XsO&y<~qk5^hxdZ}+-42ikH8IqaoJcwd+@9Pd3LL25NS<}^Y$MlEN%PZ11gmc@P zv-E@qw8nZ_g;a+-dM1HHbx7m4}jfjo6`o>nq%9}vYmZy z@~)PzJbyG}e{EKy^&Ngp=Ar1rzI(0dK=Orq{f;`vYHR8X|3_{}kReb#mu^vdl?K&l z_iGPi9VpwImX?;9mIiV4K~^sHtFoOu9NglU*EoVAOP87izP19ZgWEHbh}RCrw35HC zJgeJwY@OOJ*XJ!{S><#G&$oLp7$a56c(nk5cT;I1D;hp_qZQ&-!_nLpFd*Bs_Ezve2TP@ z=|B@r10uLDT|QkVbTO?_R+X1m0jUR8JUZ1UAi&2bpuFnKfM(~z>|y7%<#uXup5wb* zRf6>+lK~w5Q_{c9$-;j>$~^>)0nNaVF=7Pdr-0Wc5K9;u_f3= zBVtzs6r_vvp*QJ6laAOGjbe$45@U+dSV_^um~Nsb0o1I4HR^rWz!=Z@<(~h2p8tKW z<7TbB_Ue6o>-*lXW5{{HaFAa2Ejk z-y}#pgn^%9GI%K>&Yn%&c8bqCS$3lOsI+F`+@iTE`aV3TL4Ql%CTjPnkA_;b5``xj zr~)a^{v0s}v)Gd+90&U#;#LSCWw?XRT8|v<*TvzH{>&FxR02$c!A#uovjt@?bUC@^*#`aq*U3=of zrb{ZTqf9RL8~y4ZGKzPf1scO$`E^uEk^)yJBj|X#j+g(6?ZXHxerxf=L`K%1IG!AP zOcNWF5Re`qE%o1&4?*UU;KOyIL$JdVgOoB#BfkzbCt!Dz;YU-BMjr;&!rqcy<}Gh-*8CG>gX*|zw> zU5^WNaNb}k`SFRuKXq|@06#b6owui{)_B+L-J+4Ve0YEidX)dQRQ~JwQT=BO4VT8$ zCGOs>{O!h(JGK0U9j8w0JSRQ8Y{%SrN^%#vL5irOY!QtsJbUeDK5#?-0u^0KmXH5u=wzx%GTA^XgZ{m`j?;lX>D zm5KP*d411lcKBy|`6|8By)(S|%v`83s;w-qQ|&w$6{K;ewz^fy#9SO=`FF=(pYuzE zv@E?aAyx^|k38IYIImal=p|lf(eV=)IH^|#9W-+cT_g=#o;GEP(miiZ?i@ZfL7So7 z;J?dX<-0OugJw8cRX$!BlM#aIg3mUd@q^bToX0* zgTp6woKn@)WTw?x@LRL$;P-wRdYCZiiPLBa=*(g*VZ&NtUjIx{e@chPVNxuncwz_wv=UzH6xS zA}sFF;3WmxNwhOf-{vRHitw8VY0g=|oGb<>9(bR%bcP|DR%&Rh2j$_EmXVPLrK*{k z$~yo1Lr8p%G#8Rv(LazQD(rpCV-nA3s?w@-x(duizdII|rB=iiO1Gz{XQ!z~mr&nY zIw6Sq`Ofg775$}Io*}(`dE!It?l*(&ZxQs41-?&$6VLwkF)=&7=foZ|?CSCFj^C>! zQ+J-MKd~S9$0rGp9`x6U#w_dOb1nK3qSlwTockE`y1`&(+LgI0t)8a|u_WwvT+_BQ z!6%%kUtg$T9^>EWb9nuJCmh^nwv$b3cCD!PEOmOFhL@29QAln`c5p~=MraS0QmUOo z!aU0Ys7q{tg$eM^1ah^^j+?6JliPA$dg0t|;4hiYe zk0g}QFxOJg>J{~?oyexgfKnU1f8F7YjR8&|#m#h~n@@ZJzQc*@*TRZsqA#siCs=E*ussXGaL6GKD@6H>LzgWxXGpdMD^*?b2#zPu-il% zE6T0kUcXDZ&jDa3JHSKn1)xvL0Cn;exlNe)CHVq?DCP7v-=dc*p7qnqpY=1yMb8Q( z9WXoaE`q}x#j|Dlk)n>vl8$Bi5gp46BSgCbw?XgbvtUuFUxAO0(kIzB&X4zY znLdwNL`vy95^}Z>9Q-*ylVm;MJFFZ@gyDjM^c@9Mg&8(CA_R?2y5K1K75_8Pwo0+N9&Fq=IMl9oi&Q}{(kG%2Q(bz0d*!% zcwc*T-=SkX3w3P2-v(fy0Ta(*Lx3*{l{$24M-GAs9i-vtBHBeliKt0Fcbb(o2dN9hj&RgZXDIy?Jvu_(t=&VY2l)P|(61$=>dKQ4lNzhs|6nwk_o(|rt2ucY~ z4(8X)n;PV%!h+fZoArf{_C0F;MiVtVZq`gC9dd018QpYNSJcGk>|m%4O|>DO8pFJf z0SfokZ_S*!`m@WQp8V|k^^vKsEhG!uR&_9m;FI$7V)GrKd;o2`g44 zdO`kt=~u+*$GS)L-)g?R`A73pmD~nZvl{9(-=+&RsGw$uj0PxvjUqj#UEy~I`P6Sz zg>H?HjM0RWzH^|H&HRxxzo4kFNLjhQDkhKD6&*fQs)TB|^c?=M&(fM@DvzaM>!3m? zV(a#;D$HNv28v%Q-(gakp_YY4tU4(`)N$z%Hc@WBdh9@Pi_ z((Em)uG`N5tsqfiKL(Vyaz=f_PiLgTfjox+rNC}Vp?8PyMl7S)8DHfm^M1Dq(*>JSz`0-nXF7O8 zY^5w+TjKolu&?^uad9GJ7AjKChn?|1w)|7CE1s7&o?Lgr`((|P@n=>p!(GW1#|3Zo z*}mwS&&jMyM^1ujlID2)@cZ>pBsE!l`O`qJ;~LD!vqka<{jUZcFrXb!8kDNVM@F%Q zbfgkj99N)Y?xY@^0dLQV@L8%kymU_W+c*k~>9onXhn7N@onhiQ*|V_{!~#ZxPBAnG zHxO$m-I_OvO#Id9r<9+LU%2sk`DbTNe0sn1&WDG8km_fOQR1=SshBS#>wAgTk@b)* z>J%$#Fp^hqu_JUgW!Rs3ESc<6Goyi}^7Nu7gm%V%5vAC={r%ZciArZKO7%7sj zxBX_{zT;RNn;sFHFnK;TbHxT*WV}UWT>{9~ z>;~~dhlN607LgOHowa0;8`Rc_q~4wbhtE*q_6*3KprOqe`0Kl#8XTg`hI~G&IkseL zx;AFxJC0i1AeCuzf}I6_O}2uy#zV?+JFp2h7t;)p z;jVsy;w@0jGU%E!^lMR_RZrnaED$GwSD^$vx z+g-D1lIU4uM~h-4SR@b7sn-nNqK<0AdIiMbrepxiC5lWCJu3lWcBbARSDoXlz?}jS z{tpzhPZtnwdrn4fdbSgFd64}Cw52{G^2RU)4z9{-TpG;+WI5epa8l%^Lse-GSxkmG zW^V@pLzz=|kc4LxWHNN`Y??t-j`AvO=(3=K6z4w2bZiOJmFd)c{0HgTsafe6PPFIL zRAMb+sX-yE-FHOxi3nmyxw*;+{d!SOIx@j9Z-$AmF$8CiVFp#DW~8TXPjPx^*q9Sf zq~puuo#ZvcR;8wAKs%??E!>kOd^5d7>m+ZUw=tc0O>@c%IZLzhQXxi?>IlH*tei|~ zcJ}t|*%~PPjuYi%Z%59P$++Jq6*O2y6S!gvl-+3_))$W zNDkzjV&L1;C-a6D@#ME}{y}D(09?aN&E^YVc-&Rp{o=v_==Yv^f_hSPh^hKt6wrui ziSgZ+nNY3V7lgPjvoB}}K+xkmYz#*hsc}>B5Lgl(i`7HKxQ4eUOEHB=Dr3tczg1V3 zLAb=q831uzO!AD+fvF&}=q&AoIu92XaaRH?LWsQ~Vk88UCCGcxAjO8aW_!7+TxXv- z`j#dYI_(2!EbTqMdE9;A$&2qde}9h*2p|!3v8Drv_)M`tMa+((?I(fo;E5EE=|LZNwH( zPq6f(wwlgShJ0|=8Cv$q7#p0sgp>*+qN5{t!xeEvba}Pr14(sxc{Q)UBCalvj?gTY zkUXJ$5(@#e*L&fnP&&e}`g(P^`GX(qp?E4&LiO+s6!?i`y^JxcVFAMx)(@y@R^v;7 z@d}Mk#?p`x-T>_#%?B=j%WIly+FNJ#EZ5M{-mC;;FV4NG0oMM_i9Dls%>AEm+P0mwR#{94FO*>n4HHDg4c zs~+-9_YlHFL+BI9PSy@+3^8jAG!Eu1IG73t=TE_FBm++mN}yw6wU3FX0(cG@8VNa@ z5*00h0FDBho-~?WWd4^}-KW$^hx|z7^N2Ikpeq05;g1?JCG1N&X&0R@rD+}W74b4X zq)EUg!Nf6)(zuCWpzaR_>SVo(etQ%ZoIwKNCx@F3Cg7Gk1R0kmU&=b<%4}+G_|Xf0j)13&!pSbR9Nkb!5MSjNAae zv{C%ZY-RXf&!1^>;qJgM%;4)LB z$oe(1Ki0fRHUv3;`0pK-<#i&v;?=QShA~?a>q}oj1I%WeBOUqm>peo}spfg?Jhom# z9XGSQO*^yTBaMEF_@gr)wHWic1<9`uUT87*XsBIwuhOAi-8JB)WB6AtUYf_7Z<2ckLy- z-;n^J{cx&UHGr3|0HJvBeY#jBccoTC*DqV3IXhS+uPCYCoeSL!eOhqKW_1Y+Ch_an zq~ZwF36oRrHqL<;D$Nw=iqj} zBKn=?5LHSV5U@jzEnlS!h}i1y760U53Li?Gx3p5tXVUUb>q>o8@mtcP5{i=x(=?UZ z-M+<<(klP_;Ee!ENdj~|M!hRmMkN`(7*&yxSC^Ql(&_Swixame=4gD&!Ya4!m-;m& zHGK>+zWYw%bZ+yGGNmpjOLy=+kDxMMw{3gM)-CA)Ta;_6Hl5ymwEO^HA5*tenUj^B zQ&zt@p@84Hv3U7v3b@XhTa<}A5({-jd3l9=^X{vk9y}{ObF&JFc^y7m6g8Q(nKgV2 z30VX+SV}TmdfIm=v3g4t5*!rb)3mBCRC9Cc>A9yyNL%QjY7nI-D5=*1pzqtzk^Gj8 z*iD%EDYw=K*Zcyp_hmPZ^S_WGr*Y1ku7va-E>B6MLc4rR{JJ^{g=_$o>??|oPe=$; zm6L5Ea$BY!qvtBi!*!w2PKF}Tg@Uhp?Z`a%QJquA6Y~AB9Sxyz^PKc6XhXM%!)$dY z#?f<4AK7em2W-!bHa%3-Yhj5jNGz43=}e!*U)L-&VTexRtAsH~SrqL>J+zcQ!QtEu@9w0{+~Tjum|ICc1# zx~Ry0$n-*655#}n)z>Zst$vT6N}WpRwB?6DI`r&Jv}@u?GqWyds-MU^*S7eI;SQpxR`O|6jnVA$%< zJ@ijv)p8qq!R5y?xfJvof0T_OwL5G=X#g6|-i1cPTq@{nG3XZIEauz=c*o0yW`aZe z+67o}yuXW5%Day*vCs)Z;$Nc=PqLlo##~oAh6S7iLpozy^ z5FYMvVybR#h|`%BZ|{3k1th~~3@cnH7&3}&hQ_O(+k>x&&Gu{^iY$w*WLs(8{qjpU zz;gnkTzg7AL^c$>K4!o{XSoK0o(yUgG5tDpFsxNOws3DHj}$;#F*}H3vV@v#qN=wF z-YR;V-_du6bA3PQw90EypQ%2(R?$+asc+ly*N(^1qALZTeWuhO)w?S6a|{ylmtj#L zZ+I<~UZFR(8D5K`zX8ANENPblG9VO)3o=%D=-vVwQ3u8kMmsJ?o*Yu+8#?JoNWZZ4zmrJ^ zdf?Pd_5s6;t^RD!%1#q^F|~l-OD6vd9i8b=kjOg?ED|&^4#yfCq2Txo1Q=b%6GZjg z12H`@Jdw!%T8tOA16q!azTUXIN228Wj!yDD69p?Fn-y_!5m|AikSB_D#L+0W>y_Q) z_m3;hsxB>cVyq|Zv*{IIN=q@&aQ@or-6D#N;FWC!&r%V*S{clY1SuFsnh08%;-)KWNT*e;ols z+-vV2yb?Yz*F20}Byqb&}{B9jteD6c~o(?x4hIgJ)d^~$}XwbpHgXcdv z;3G9S(@aHCQC3AlkyI`gXtl*rSqWNgLRM69LXoy2tGHN7CQbz-W7h8Ia_^&#QRP8d z(b2xXj?q!z0*ZoK;|{lXy(^-2XO&ktH8gv^w#aR_v#Fy&UoPhWc9pWp}7AI6> z6%|1r_V0?5_vV~k(>U|W%ssDa<+qgaYqp0Z3<#AT&8~^eQig6^wqjB6gbkrzooFg5DJm)|OesjyWul-` zb?9RZlzweTrCB)Zx!-Q!%gT0E=LxEM@pwzp*=q*G#(QeLnS#cSjS8d!*mHS8gBqI*|zDzUdc7g-Ns4 zEn4g^%_{YYU4_jRP|L!kS!)W`Zs8x*om+W!Y~`kJGZGg{ zsZfCPSbyWGElCd(r#6^+m>Mf^e_M87ym!1!EX^R;SY@H#(M$A}qCUHq`ws|wi_YO45sJh4b*p)LNpdPP`QTwCx&FPPI(K(ac^Mx=k3`*;T#TSvy7ApNhMsZGC_ay;q$ z#`LuTkW2ZVCK}$Z1{#3FCeng?U02Ylra+VDmhHQW?+wjGJT|95uY8Lyx>|O=rcsI! zq#q0)EhDA7CK#S-CYTJkoFN>!DL) z=8o$-m)ZnU^_ppGhbB@hX;!*Fxcq3}N;>J6Eai~}#P`ilFk}i0eISOW;#b~CDnU1; zP9&|4%m#;7W{!%IM@XeqZ>y@`xjlQQ=3>f)+;f$CbbBgxRYFC?802o+&!oEcO7We7 zYYbCoI{`n`Cl`Jyg|x;9vm?hIp6DeE23!GTUergQMSMD*Y@+6yr=(L!&~sHUAq6bi z;f^^{nxtQ%AcyHTkU0+Fw~a>8!vIu)368o$pxZ`42!$MjlxX@zFCtuf*-+9^->Wm% zkWGGh{yiPvd9Rn~9OUHn&(2Ec(g%ttdY{$;-fH(79e2wDdkJqoE8QhcTUU#-61hGW zTZZT;`U~jz_PE!9JkUS?wYzL2@!QMy9|5faf{sFHdvUIj$!nZ%%H%f8Hjvqb%qC+t zGiEcdflaUmHn$^ZqQ!{?$vWsL5qGv=(=$f)tmQJ>9k|LmTBfocbTUa%%e6Ka)ba&3 zJJsc9Bs;;0EzFY1otc~czq?79o9N%&%$b|nf`1Du$b*}}3 z2(g_IO+TIMNOyuN#hy>+ig23E%2jCJDH-?L96J{?`X{ zoX7@n0?^MSNN;36(j0V$TCLkN+35lhrsq8ksN9ec>F*R7P`rL$6q)DjNGER+#kdty z;g>4p2`s_n(@RjGJPPTJqMu%xP#!{Uzm0MtlQ+?M&H+){^_2lml>tY!`zp!2r;Z*_ z_6(Wkb-V9?OSl=O8)-}#IaoaB(Z4QSc0w=49l$1|NH6{(#~0imeYf~iC+M6^G?oYD zYNO4&T`}bbe(l5nmFD%{7kRX}a-UP>KJBr93OesEN5J@iEWNUqFqy2xn0R0R7`^T$ zz=4zKwJLhE3Reh~m87K-$gl^{%Gb7$8{2RdQW;5Gq~uoTI0gNFHT_{V{u+dyP}$NH zX0VK-A>UDdG6pPPf6_l4$@eF_{_8E805;Q9tCyCMka4(f83V4sHqvT@(DLYsn|9GTvEfuFu0$N@MRE~T8V7Pw zbj(B1k0z6(e(g}O(6~Y|3Bq`bCfy~AMCAR|3d3~z1bfiw%*57nI-9~wCUZysb|9at z$s0hQ1gfB}HHJ*kKPG{1>c~{$c$LWRkr80@9acheT!3)j=MP4dn?}X~H$+|?(+h%t z7Zhc~=&XkI)$Rv2w3Oc}eIKh^P~JglLvCb_Ru!{dn;a7!7lFIA^Kl{TTzi+6e4VrN zH?k@BP)>DPZA5WIQD}5>d_oj1lOM+hOG8$L#BRtKnL6vMeZQ6-|B+lj_4U5@ziqr2 zvM=uV){>Mxar+udiuUiWDm#%Z-J4bsQM{ zu+Wt_eo*|T^tn6rSEN-(lx$1emKGn8yDc}OD!vL>s5aW_+>$C_*y*q0kQ`IzpC1+- z9-ZR9Bdk1Ze@b0>ZF&Cw=sM}M3MfU`c{uTmZ@uqMuf$Lv;1Dct2yF;CquY5{YODv@ zvxy2s7ktFCXk)NXaN@H1jqF4H#-_w0^+$H;&V?M2LbDeU>RVaG5$PZ6$Rg@;vI+>o zDUf{8zD}2cqzFF7F;H_pH@H9b{ew<`jzJ-qH^+WYPm)OQ>_rue4tYL+K-@e(qJEH@ zo0o%oFk6h)m7g3Z6R&4nulnQ!3MFJaKjH;IQ|WVk$3R8o?v44ukwM#1HdY2z1|3P+ zRk^z=|41a%Bq1YXfM1YS7hV>g8lD;(o*SMQRvTNJSDRN>n_3GcgmuqnD^hm_R|Ka9 zr$hzk2jvCtirSUGE3aZ#%5Leip`Er0`Mee3M^=>hg!_cYd)02N@i`rTxb{eG@tLjA zB^w9c?zHM{sQ3t0@u>Q$xa!=hywa-FYAIbzQWO#U))j8q8n88aU3EZpKx6X0>b*4u zjS>5>l>L`q&~CsZ?S|?s5Og@U7WC+0{M!@iZh&$5P|+Yadt@#!6Z90Q1V;qTW=>{( z%?6kaF&kkv+RW9=&1{C*+h+64)|>g5Z8i%ui!zHhOEOC{%Qf3&_MzD&vm0ign>{f5 z!>rwWn)yugx6S97FEaNuUuEuZ9%-ItUTEH6e$4!&`8o3s%s)22W`4{3OY`r|e>MNz zyxm-H!C6>a*jqSRs4a$DOtfgW_|oD#i(f4Muy|_GVew2T6iS3v!v4bH!imDyg;Rwy zg>!`qh0BHOgd2qc!cbv^Fk09wyej-f_)ugaau6v+ylA3mn&@rOJkcVNr)ZTZT$Ccp z5`84PCi+5jPb?M>6Gw@Y#M$B^agBJFc)z$o+$g>+ejxrs{8-{DnJZZ$@sg~S_(%dJ zp_2C`7bG7`u1H!WMDjw~M><+MQR*h0A)O~(B@L2plg3F;OYd3QTPiJ`Etgs@w_I(R zZCPYlVR_B+Tgx`f=Q0bKrOZlZD|3{MkWG=zlm*JtW#zI%vPRi^vL@MYvUXVqXU0i5 zp6kyI<=i-LE|iPr;<*$qlgr@>xE)+Aw~sr_o#ejeTDeZ{c@Og*c0FF}q3Yq>V_1(# zJ=}XN>9M|tPY?ed;XPt{B=$(_vA4&^J?{2+-qWI|rss&B^LsAsxxD9^o|}3G_6+YC z-E&9J6Foog`K0GFE1A`6Rw}FhR@1H4S%q4~S>;;ktV*q_t?I4zTD@m=-s+mwEvwsB z_pE-ldT8~h)njXswcL7`^(gBJ)>Eu!Si4)#xAw3Ouuiouw%%=h$oiD^dFzj?FI!)? zZn3^&{j2pK)}1y|n;tf{HcA_3n?W|iZN}TU+Dx}uXya+K#U|7y!=~Eipv`+W=WQ<9 zT($Ya=AO+jHox1n+5BZgZEbA(*-o-`vt45AXB%ysZCho#)AoSvVcSOA)3)brKe7GV z_K|J7?O(WRd|@ZHSmU7TH>U8!A_-5$Gl?M~WV zu>08Viro#nAM7655jlpuTqAdp50np+kCso9&z3I$G_{X>vpifLEsvL{$TQ{n@?v?F ze7F3d{FwZ-{G9xv{IdLp{7d;a^6%xp$e-E^?R(hU+V`?|u^(zb+J3720{eIDm)ozl z-(VkNA7LMBpJrcVztjGJeWU$*_UG*{+F!B1VSn5HJNw`4+w40PW(u)_Q#dL#iXn;# ziW!ReiX{p!#X5zbVv8b75vhn%BrEb16^gxzgNmbyCdDPi=Zd?EpA`=kkFl7UIaoSa zJIEcJ95fCt4uc$qJB)Fd;P9ryJO@vQ)eajR0v)0pQXKLeN*yX4>Kyhs9CUd1hD;A_ zolH?DZ}q0ko$0D~->kkIBI6{l2YODMto%Qx^x~c!lwP-gqx1p{`@c|n-TphJm(h0r zru619N-uU?kZFcw^E7~$gbl)|Ss)`va4`g`9`2O}%O3hM-jJ(mu|W(5j~ZNrI`Ft2 zWwh!VgIGBP*H^KT8h27JyDS+lDV>i3UQ;Aer&z&At2L zO=6^bUKUrDp&Z0RI8V(1w3181{4GgSqt(>L{P3WaGbt_&u@469rG%S_WF%9OgqO^e z$r&=h2tI339Ev>{R>#waGKuxR3IGCwdP|X6F;|#gm7?6X-zE=E^wnFd4T3 zRU}E0ae3+zS+$yD$iJK@1&m2a%B0-H{1l!WgT)SAGiE%~gp>kJb8(hK+k=sO{KDZlhYmtwtU8QFFs&!_^!XDr1R3 zc<01#s<|K(wCh&TW1x(Kz*-8bXPEl3m|J>cO*8l7o43$*-S>vTr-;Sy8y z#eh;3N1sC92LKeANdQgs6bD2vHOC;T@axSn{ZbmPOC4jNdO0dzV8LBpjBYSW&E3aU z!VVcXQf7saV87r}@_Emuchm;d_AD8z^Cjx0rXm@)lF=-D)LewDmqdVDpxH7`u>>;& zdi9t$-yFj&lew>y4dKL7P~SEn&Js^pO4Q^Yn(8vL!w`Oa)m%-!IvqU}DNByZIL2?{ zfgQVth2EpHWtO`0yrD%w($vpZcdQbfTQ>OEbd_OjtIRM~GX2=#bDn(1>St?2VRhs+ zbse-_#p|`?9b^NLW4H#D0E^3xy}hDan0U*KY9efSj_B%sRu`!xh}tc65UZ5UWf$H3kd@)B1zOeOj}+vqk)aY!c4P z5}?&`Swu$VkEmO{loY6$j?~zkxV(7WJ8S^Q{6^}bG(>=H zCJg)@wtQ$ocu52hqBqJi1y1{8BFTJNn%$XriX#C2Hsh z{EoR@l5s41OV^xeZa$&6ldW0Gb5B#%=mMlS2dyHG09IK?Ej26Xl1fugpG`me3hF5oWJi0U@2NL;O=KMF zK5oPpvk~T9E-Ge61=`x46so!UkYic(^-i2(4@RCI%}?X#e*9n>#;#eNleb2*D1VLj z#5YGQ>c7@$*L(FBs&4Ln=s30s=tsW~z??fsN%rHs8K)o1ciJ0t3T_GJMEypL&7taW z8P|K6D%ZmNNX;D}u`;lcK=Qahwbnqs2~vD)3bEkG0QKGmj-RuUsx!Uk zNfRYe*^%3$_}13SRu!m-&f&SFkLJ*JQ8p$!ow6dmBBPvtyN}uh-?>gl1XZAKPFc$H8nFmRbvPPxK~0d6Gz0} zBvJ<9pPW2i9|pXkqPzmgI)c%Mq{uiQuyX-=lk5HcxJt}I`ukv1jlq528)Bd)SwZM` z#=Vx5^ctS7hg@!^XmI4J*&5JkBP9VeMnt^~_c^F|)j2G|RsdpxV=zJIB#+z-DJn|W~c$4yYy({+$-H>epg<|ZW zFacvWe;t)0d=t|>o!9}{d@&dU=H4B5>BG{}!lFEYot22Pqs0lCadAozYbH~%-cQ2a zm9gIPj+z^bySi-{By8Ho0(oQMhckF?m+aebzn$=(e>u_!od!Y~SC~fpFr_;J_$~pQ z5#k@!nBE=5Ef~yaiDeEjZ}PW0ksIQ?OkGM&+8Ju;s1Mt`NKG$^XOPJv<6NYnEw128 z!p>nFXrI8^=D>$$#XxpEIMQEc!HMgz1=*?Q&d7}S*W4I2mMIk09%}>}b~-X2f0+tx zR9C&OV&`tw1I-aij64IR2dNZiq6&uVT+fhwdy}?@zcD?gRS5TnS6(lFRUU~Zt zGr1{hC|3h`TLCB8hxv3jN`Nj2MR4}m5racd&4tPII_`2TR%=j9ImQ`vjzNH&Ll)WH z1-sOJ-hxYArrYwF?q~QWU^~}I*jAW0sIi;kx}m(gkhr;8ETps%TQQKcfeua&b8)4( zppD}ylFQ>uxSJO*-sB{DHR&lT%hQ#VL4UNQD77dlpHIryW+$dYafZ~9BVO36iev>k z4Yb^{Qt=PPtU$mR2R0eDb4;ThHYq5Hha{>jrc!T(T?UPvE{aV}jE@Ckr6eIQp)iF{ z%g+Z+5k$VBQX6S6n$F>DU^SH5`D^+Z#)|^Q)COv%Y%piKs2_4*!Ux;SVKwfrF`e3T zB}LmI|DK<_Jy(@3(I%#*CM6`rI~hcVU7}I?ZzLR5PM3WnI+yb|?%3$yB}Zp;JX1*%x5s>9go16*%wbicZy09WXv?wq&avK*{Qjt=w>Vlf#O4VlEB6Sz1D)u;%-Sgin zfpm!(^;yP{)rrqCuuYl~pL5VQi&c4J6i8<_bcG6{JucWTRN$WWHApM_lc|U|A}c=L zY30iJ_^gPMI46!WR?g35dWRkBiJBjMXR}4vL??ZY77FL zEW*?ZV?Wdp9Ep6@sIwL96F0Vwqt=I=~*i~WsL39t`4h`JK%HrzPH$Gg5=^T`Ru3S@_KL-#SE+k}qR!BXk94+Ip z$;)Dm=)ox#du(`n=*mxSeSY%djjykcoyZ&h;@0vZ5fNJ>L!OLqEG{i6D=n7R)N=!; zPwVH>GPRYz|LN83s)E9z+@egbpA0;)+)>)5f4=56U#$%Xj7%8l^I8qJ9)jxkA^z8J zl*xe^#r!x)aCz9y1U|h$mr? zudY3Zy}d81x>tT#aF+a!l^d8~SX(~75;$H%F3~FrZAM~}R>gT#dK_G>0c@*IH0R7$ z8@^U?CwvdBUF++&W^IG-@#75*$9Xo+**e6Hz$OyRZYU{Bj$`|NOyR7>?a7xiY%Cc# z75mGPN3y+~-WGot-Gxi2#4UuXx+=G*5=S)>##x-gWj{8ioCzL~+){I{lc@P}YNdjL zck{D%CKSJah1mbDoZQl zK1Cm3jQ(z17W7baObWydUGun__0LYQ3}Uz32<He($3v zuqxuBQljJIdE+6Q=f?2QTErZ6Auil>fbVj~t|Rf=9dw8%0`Z~UyANr&9Z(SzkJ*9C8)Y3j&GGH&Bs>flCYs!aj; zrNJ5wcs#W`R9}h<^OKS?LCiwm#ex5l%u0`q3x^e1%&C@zZ42dk4bWSYyVH{Qxw(&%*v3;EmJp|@{S?_V*Kjj!&D*JJ8Gxj72wQlWCta%X47wF!J{zWT09y_I4KB73FXiH*hq|3)A}L ztd~D-Jd(S2FN@lbS8=K=1}`o=bK+|acLWmw*i`w;824fmm8Y}X3`(=+;7+>`0~cCd zqG}U&?@@9fV+*7L0m}z!15*VXqZ`b zE(sg<6!^ua2gi}8+##S=abQ7cz{;AK%+dY<5H~TWBS3=cN87{bE@fOc2a(cYkRz=i zJvefcwGxy#^Bi4)?$`&wKpvd17adFsdkMb~bK-`**qd%C@I@7cp_aosTQFMb3n0}W zRdbNhVq+b3#E$Ts0f##d(olUl0sff@>;x9f^75ZlAYt|wF9foeHp`bb3$d?Ro$MVkC`!#y>{y&H`tn$#R3otWWp1 zUU-8qybH|4Mju^&SjfLazx?nIPA|XxzqH7DSc=3)CDLR6w-Xhbbt1}bs7sMxg1}j@ zPtYJ}6nrH3s&}70e4jO~R;_&Nl-7Bzt6Dd<`n7Ipjcd(mt!iy(J=%J;_1o4zTA#OB zwef8O+6J}_Z=2FKuWeP^mbSRIoVKdAhPHEUSKGdA`=jl7yHz{iKBawL`>OUW?Q!in z?N#j!?dRIBwtw6H$5Ylf1W0-Bf21sEwQ23$>ejlTbxo^J>!#MAR&8ruYfbBs*5=mh zt>3k_wh7v7+MJQ{ptg~1Zfy(N*0cq+Y1{JJYTAypHMd=F`>w6EUC?gR-n-qceL?%0 z_MmocdtQ4@`;qqM_UrB6v6NqYkG{F$#lja;UyS_r{Kj~{{ciop`l0m$>)&vJcHjCJ>z}QEvi{Nf z2kY;xzq7t)eb@RM>#uRScH8o2Xpu>KrZZMUp%a*f8Gw)MX><*NVk?f>5=v7iS= z04HD<#~5~Im%r>6^Vw=^*QWvt<3JT$p6@!6CDAg<_q`V{p1-g(6EmL{2+{QqZ(U=~ zlGPu+|L3?dZ?w<~g3OxXPb=6e(jpmwU^R>VpC0zT+kGV)kO*UXH`>`dCJ2E9=BwWj zCK6${FgN4F{NQ16usGqSG{(o=wSv(mKPId6qbu&7rf|&7RBmQBy_?cDg@L);_-MQGZTt>9>d%e&!BS@| zAB&g08y{_Vxw^kunBHMBe?pkdUw0n=&188pK7W57%KDbcFKZ7|U3I7DhQ9iu+ujwI zDeQlmT7iQ3GnM<_@(lOxwzlauH=5#vf1xq`?)bXht(j@c7wScYcjV>o`mpSdll1}i zm}>=Yc#Q3Da%1Mpc)IKZyW=;yTfo2Zd$(!w&+=%h3sZUE&&}k<^1#@d)7OmB(0afuINbCe(I) zV{T^McIFq~#xaw*v$T!r!+bTK|FoO@!5n6hh%l%amLHZ5%n2|3YXutQSp#?D19y$_ z(RP)k+n>rjrnO`s}--{Qf`0zdj-yKcw-Ql|Znfx0~w!zqd?@PM#J($IXcPY%i zEZ_h1z^@g1Ol|+4@tg8wGTC=#XOF2am>qfKn907Io>$+Q-Sqy_u7zJb-R}@W`8!UQ zcf@Io%VaV)??c4o52#O#V%#1nXgU+|F>@jCcpKZ_J&A z@3MF03-+%5t`!Vm@tMZ>tLZTRq8EaGtY0v9QyVgOxLGr^J1@q*V@d<={Y-i7cC%-3 zywbm3mfe^J;$ivj&b!(ametFDK5R`erNd12{AYbi%)83U;>Nr+5`MbsN-G#{3WIoD znEk*1TOcrh-{|8tGo`?++wTaNU3N3C@eIPM{E6?6zA8c)@KO^scH4!o_z?+Q%*wmn#jm(a1a)TTyWOP%NAtDac1wZ1xhWn_FxWi1+ucgwYJT#~ zK%Cb7e0;;4r?1`W?L2GkmJN~4qeqVV*Kp^l{{GI!Pod5s-l5(hTfH|7pBcC%Y-)se zXkdW%%=z;?=1iS7X}-tI8Os*TU*xgWJ0#REaEtTU;p2yoG{&*O-+OJSH$rdp4si|( zbPn_NcK$oTQ1A6&%>Twfe8iWHh}$_VWbFp;fVCl;o!5qih4`%tH+tC;80NR$I~2)> zggJMo|95_U!@`0ljTphgukFg)aKFHRbQ}R(I`1u^-XjEW3IYW|f=EG#z)#>K@D+p! zoCVVbYXw^c-muMrZHr(7zB>y>3q}e?3H~J*4*OJrKYq@ygbFpjc?&`jF2opm1ANXz z>{}4$R6zvXL-7^>a}gdNK{#Sq3%@f3^9Az+9)daWH4PnaKI}6EGX%>73t(S_x2487 zLyxYu^5reqXbk0y)C1uXhO)6Q|5RQUW<7kE;@^l6 zA+LmC@2nIomJp<|0saGwdEX4TwQyzbeu8x<)8DadK`8dN9==1n>mmd$toB~5jen|b s)(&B4mq{38BT$mA^w<7dxZ%e9{-66Cfg0+{%@$)VvB8fK@L&J^FN3;7EdT%j diff --git a/demos/streaming_asr_server/web/static/fonts/fontawesome-webfont.eot b/demos/streaming_asr_server/web/static/fonts/fontawesome-webfont.eot deleted file mode 100644 index e9f60ca953f93e35eab4108bd414bc02ddcf3928..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 165742 zcmd443w)Ht)jvM-T=tf|Uz5#kH`z;W1W0z103j^*Tev7F2#5hiQ9w~aka}5_DkxP1 zRJ3Y?7YePlysh?CD|XvjdsAv#YOS?>W2@EHO9NV8h3u2x_sp}KECIB>@9+Qn{FBV{ zJTr4<=FH5QnRCvZnOu5{#2&j@Vw_3r#2?PKa|-F4dtx{Ptp0P(#$Rn88poKQO<|X@ zOW8U$o^4<&*p=|D!J9EVI}`7V*m|~_En`<8B*M-{$Q6LOSfmND1Z!lia3ffVHQ_mu zwE*t)c_Na~v9UCh+1x2p=FeL7+|;L;bTeUAHg(eEDN-*};9m=WXwJOhO^lgVEPBX5Gh_bo8QSSFY{vM^4hsD-mzHX!X?>-tpg$&tfe27?V1mUAbb} z1dVewCjIN7C5$=lXROG% zX4%HIa)VTc_%^_YE?u@}#b58a4S8RL@|2s`UUucWZ{P9NJxp5Fi!#@Xx+(mZ+kdt3 zobw#*|6)Z(BxCGw^Gi+ncRvs|a|3xz=tRA9@HDV~1eqD)`^`KTPEg`UdXhq18})-@}JTHp30^)`L{?* z;c)alkYAc@67|W!7RDPu6Tsy@xJCK8{2T9-fJw6?@=A(w^}KCVjwlOd=JTO=3Zr+< zIdd?1zo-M^76}Jf!cpLfH`+2q=}d5id5XLcPw#xVocH5RVG7;@@%R>Sxpy8{(H9JH zY1V)?J1-AIeIxKhoG1%;AWq7C50ok3DSe?!Gatbry_zpS*VoS6`$~lK9E?(!mcrm1 z^cLZ1fmx5Ds`-ethCvMtDTz zMd=G1)gR$jic|1SaTLaL-{ePJOFkUs%j634IMp}dnR5yGMtsXmA$+JDyxRuSq*)bk zt3tSN2(J<@ooh3|!(R%VsE#5%U{m-mB7fcy&h(8kC(#>yA(JCmQ6|O1<=_U=0+$AY zC)@~M`UboR6Xm2?$e8Z$r#u8)TEP0~`viw@@+){#874R?kHRP|IU4&!?+9Cy52v^I zPV4Xd{9yc;)#l?0VS#6g@ z`#y))03Laq@^6Z#Z*uvzpl{$JzFJgn&xHlNBS|Eb!E@}~Z$^m!a9k34KX zT|VETZ;B_E$Ai8J#t5#kATCAUlqbr&P~-s)k^FfWyz}iK@`B$FI6L0u1uz5fgfqgU zRBmB>F8s_qp1HWm1!aXOEbpf`U?X|>{F`8Md500U3i;Mh9Kvbd(CeuC>077ww4g^h zKgM(A48W`XEDE~N*Th^NqP#S7&^w2Vpq+df2#@A*&4u~I+>t)9&GYcop9OtUo=;2d zGSq?IMBAYZffMC1v^|Z|AWdQ38UdJS4(H(nFI<|%=>0iAn3lvcSjIR(^7r7QuQI0a zm+@Z9QXmf!efG1**%Ryq_G-AQs-mi^*WO#v+tE9_cWLjXz1Q{L-uqzh z-Vb`UBlaT|M;ecG9GQJ&>5)s1TzBO5BM%;V{K#`h4juXPkq?e&N9{)|j&>ZKeRS#3 zOOIZ6^!B3<9)0}ib4L#y{qxZe{ss8}C5PC)Atkb2XK%PS)jPMht9Na0x_5hTckhAT zOz+FRJ-xk0*b(QE(2)^GQb*<<={mCZNczb3Bi%<19LXGc`AE-^-lOcO^Jw^J>ge2~ zT}Rg*O&{HUwEO6RqnV>GAMK$M`~TX%q<>-my#5LOBmex)pWgq|V@{jX>a;k`PLtE< zG&ohK;*_0|<6n-C93MK4I*vGc9shKE;CSEhp5tA|KOBE|yyJM=@i)g?jyD~Db^OKg zhNH*vXUCr$uRH$ec+K$#$E%LtJ6>`8&T-iBTicKH)SNMZS zB8UG!{1{Y=QL&oLMgLzR(}0Y>sN0TqgG|kLqv_VcVSLD)aJ?AC^D!bLa6K5Ut1)YA zghRXq;YBrYhrzOK23vXorq6v~v*CBb?*bYw$l-3J@cY5H}8Gr;t8{e8!J}L*5e>!hOQnM3g=8eoXDiYZBlmBW?=(Qvo;ib;hP4-|5>J zo6*MD%*UW90?aI=ncV;fJZB$fY|a73<^rd=!0(I%TsLE9TH#hRHV<&~b~82~@n<2= z1-*oTQL{zWh}4H zGjX>}SbW{R;(k^VBouiebp<&Q9S1P`GIlM(uLaz7TNt~37h`FJ-B1j-jj@}iF}B$Yhy1^cv|oM`3X|20-GXwq z0QapK#%@FUZ9ik|D}cWpad#li_7EK6?wrrq4l5kOc5H@2*p5ENc6Pxb%`OEl1=q{i zU1`Sdjxcu562^8fWbEEDi1(A=o?`5)DC_=i#vVX^45ZpSrpE35`g>WA+_QYDo!1%Byk?;4A*Y^%H_McC{^)mJp(mf6Mr$1rr8Klp< z@9$&m+0Bd{OfmMH!q^XxU*>tneq@E)#@LU6-}5Nz`DYpXi4*QA#$MRP*w045^)U8x zl=XAu_Y36n%QPIqUi^r$mjH7JWgdEmv0oiv>}BNj>jtO;GSSiGr=LO--M;f3$4%-kcdA5=kp1;?w1)iU%_3WyqWQmjf@AcVZ3xc<7I~# zFHgbYU4b-}3LN4>NEZft6=17@TlH$jBZ!NjjQC2%Yu;hJu9NWwZ@DynQp=tBj8Wjw$e9<5A{>pD{iW zZqogXPX_!HxT$LypN98z;4>ox_a@^r4>R7`&G@Wh#%HG(p9^;e{AczsK5r7^^FxfE z1>DZ=f&=UVl(8@Y2be_)+!n?cUjPUAC8+bcuQI+Aab3F@Uxu=lJpt$oQq38DE=X{7U3=m6P!eKVy6&>UK5q-?WYKFCon} zcwbuv_Xy+HBi;48;XYwJy_)eGknfFvzbOHS_{~WFRt)zJ zijpU?=0x zkwe%IkXL3J<39wBKYX6?A1iQgGX8uw<3E|t_zN{~?=k)}E8{7uHGX6%I@xLJ5o5hU3g}A@9GyXR4dV3$^??m7ZGyeD0jQ;~={sZ6d0>}3fa8JQ~ z#Q6Kj>z^jLM;Px_;9g|>2lp6?Oy32JW8UD|ZH#LugXW9=mzl&9Ov2uUBsVZgS;-{zFeKKwOfnbOFe$i&Nu~HMe}YLB^Wk1(Qs^2cg^_pF zV@!&4GARo9*fb`^0bBDClWMmysSaUvuQREB7n2(BZbV*M)y$0@8CXG!nX&m5FyO}f|^_bYrq)EtQ3jEW$ z;E;a$iwt`}|2xOlf`@fNIFLzjYz@1@vMcQB;TbKpR_b1>hK{W@uw#sVI6JqW86H;C ztQ;P%k-Nf8ey^cATop^SG>2V0mP~Z;=5SL5H#}UQ-NIABSS;9=rYBEjx70^!0%|%? z6H%vBBRb1si5UK{xwWyrI#6mdl~NhlB{DFSQ4f#HYnQ4Tr9_9++!S!BCwdbtt-PhV z2|9^MD=%7f(aK494ZCcz4t6dY`X;_62ywrIPovV+sT0pH?+{mwxjh%^> zh_?T`uiv2^KX}>z4HVY!Y%V1QDcBvi>!sD@MEbj99(bg@lcBxTD9~gYzfIm>7jFFl;^hEgOD8Clhu+6jw>0z&OhJ=2DoJ42R3QaA zWOOLCseE6;o!xG!?ra~f^>o~D+1yBE?qxT0^k{Eo?@YU;MW)Dk7u-Ja^-t=jry`Nm z^!iU;|I=I9eR|&CLf`eUDtM5Q2iZ}-MO8dOpsgMv)7Ge`r77T1(I!FduCuw%>+xyh zv~lQApLDjitE7#8{D!C9^9KL8O}^S6)E?BVMw_qP`rdoia-YG@KjOf%Qh4Bnt8Mcoi9h#JRYY3kEvn*UVbReO50BrmV+ z;MZw4c4)uX7XS38vL%mZ(`R5ww4GL|?R_+gqd5vmpyBRdmy(bdo1(0=sB8@yxdn)~lxbJjigu9=)pPhNBHJ@OCr@Hfy7 zMKpelG=3bck_~6$*c^5qw$ra?cd)OqZ$smlOvLJWm7$z_{bM*t_;dW+m52!n&yhSI z0)LYKbKpO(yrBb!r(;1ei=F17uvjq5XquDp?1L{4s1~Hu@I46id3j>UeJTcx0fQ!$ z&o9RBJJn}4D52n3P@|_Z2y%SzQ!WJ22E$LC;WNiX*{T?@;Pj!}DC|#~nZ>-HpIS<2 za>P22_kUiz%sLYqOLTT7B=H>lmeZ$;kr+*xoe54)>BRz1U!muO7@@$$G=552gn*!9 zJ(lYeq-%(OX#D?e|IqRz)>flsYTDXrc#58b-%`5Jmp#FEV%&+o&w?z>k%vUF^x&@! zd}aqf<-yN_(1OoX0~BNi5+XV}sW1Mo_rky5sw&#MPqeg*Iv+ow^-qi|g!>=1)d@|( zIJ=tJ4Yw%YfhiFbenxIIR1N1mmKeveFq!eFI?k+2%4<3`YlV3hM zS45R<;g^uVtW5iZbSGet@1^}8sBUEktA@_c>)?i}IE-EQTR@N-j%b9$Syc1{S3U?8e~d3B1?Lij0H27USiF&gR}A>wG-vBGIPuh*4ry;{Khxekv}wCTm%_>vhFZSJ)Pw2iv6Q4YVoQ`J2w?yCkiavVTWeVa)j|q=T9@J0pTtcQX!VHnIM6Al- z^*7Og!1y$xN4)5fYK&2X5x-Om4A;1k20|=O+$wl^1T}IRHkcq<^P$a{C0fAii(ypB z{ef1n(U1a&g|>5}zY?N{!tOqN_uYr3yPejjJ>KeR7IW!#ztw(g!*Hj~SpH|bkC%t5kd^Q2w*f{D8tJPwQ z++kT&2yEHVY_jXXBg!P7SUbSC;y1@rj$sqoMWF2=y$%ua1S%Nn_dvGwR*;O^!Fd?1 z8#WkKL1{>+GcdW?sX2^RC#k8D;~{~1M4#fpPxGDbOWPf?oRS^(Y!}arFj}-9Ta5B$ zZhP0#34P$Fx`;w}a*AU%t?#oPQ+U$umO}+(WIxS!wnBcQuM;%yiYhbKnNwXa7LiRjmf+(2(ZG}wiz%sgWJi>jgGIsPnZ=KfX?8mJ2^L!4-hBx#UR zZa((80+3k2t!n9h@La(dm&Qrs_teRTeB}Y= zShqm6zJdPGS+juA6^_Mu3_1sz1Hvx#*|M6pnqz`jk<&F@Wt;g%i&gunm7lM5)wE@q zvbn6Q=6IU;C_@UMWs|fmylAcBqr(MowarQT7@9BsXzyH534G z1e0`Rlnqb_RAIW{M7dQoxdg$ z;&VZRA?1jrgF9nN0lg?)7VU>c#YI}iVKVtMV&I^SUL2sA9Xn2<8mY@_)qZF;^OV!$ z;QVMjZTMUtC^eDXuo)DkX75sJ*#d6g{w?U1!Fbwid(nlSiF_z zStRqVrV`8MJBg{|ZM^Kzrps2`fI(Eq&qUZ%VCjWLQn)GthGkFz0LcT(tUy)_i~PWb ze1obC@Hu0-n}r4LO@8%lp3+uoAMDWnx#|WFhG&pQo@eXSCzjp(&Xl4$kfY60LiIx^ zs+SA=sm(K<-^V>WxOdf!NXC0qN&86q?xh#r;L)>)B|KXvOuO+4*98HO?4jfcxpk`^ zU^8+npM|PWn*7Nj9O_U%@pt)^gcu2m|17^}h}J6KWCJ>t zv@Qsc2z0711@V0%PDVqW?i)a)=GC>nC+Kx~*FeS}p5iNes=&dpY_lv9^<|K`GOJMG zE5^7&yqgjFK*qz6I-su3QFo4`PbRSbk|gNIa3+>jPUVH}5I6C)+!U&5lUe4HyYIe4 z>&a$lqL(n;XP)9F?USc6ZA6!;oE+i8ksYGTfe8;xbPFg9e&VVdrRpkO9Zch#cxJH7 z%@Bt~=_%2;shO9|R5K-|zrSznwM%ZBp3!<;&S0$4H~PJ&S3PrGtf}StbLZKDF_le= z9k)|^Do10}k~3$n&#EP*_H_-3h8^ZuQ2JXaU@zY|dW@$oQAY%Z@s0V8+F~YQ=#aqp z=je#~nV5}oI1J`wLIQ^&`Mj01oDZ;O`V>BvWCRJd%56g!((T@-{aY6fa;a0Vs+v@O z0IK2dXum&DKB?-ese^F~xB8#t6TFirdTy3(-MedKc;2cI&D}ztv4^I%ThCj* ziyQ90UpuyI`FYm%sUlWqP(!Qcg-7n%dk-&uY15{cw0HD+gbuz}CQP*u8*(+KCYFiz80m1pT=kmx0(q(xrCPMsUH1k{mefDSp) zD5G^q?m1N%Jbl&_iz65-uBs{~7YjNpQ%+H^=H7i%nHnwimHSGDPZ(Z;cWG1wcZw|v z%*juq&!(bo!`O7T>Wkon^QZ-rLvkd_^z#)5Hg zxufObryg!`lzZc#{xRRv6592P5fce0Hl-xEm^*nBcP$v z0`KR64y6=xK{a*oNxW9jv+9)$I9SxN-Oig_c%UK7hZDj_WEb$BDlO#*M?@b>eU7 zxN!%UE+w#Wg$bqFfc# zeDOpwnoY)%(93rx(=q9nQKg6?XKJZrRP#oo(u>h_l6NOMld)_IF( zs6M+iRmTC+ALc}C7V>JEuRjk9o)*YO8Y}oKQNl2t?D;qFLv4U`StSyoFzFYuq>i@C zEa1!N?B0BK0gjTwsL04McVmu=$6B!!-4bi1u_j7ZpCQm-l2u7AlYMmx zH!4a*@eEhENs{b-gUMy{c*AjMjcwAWGv@lW4YQtoQvvf*jQ2wL8+EGF4rQjAc;uiEzG%4uf z9wX{X3(U5*s$>6M z)n+q=_&#l6nEa|4ez8YOb9q{(?8h1|AYN<53x+g()8?U_N+)sEV;tdoV{pJ^DTD)ZvO|;^t&(V6L2z~TSiWu zI&#bLG#NGMHVY^mJXXH_jBGA?Np1q;)EYzS3U=1VKn3aXyU}xGihu`L8($R|e#HpJ zzo`QozgXO&25>bM*l>oHk|GV&2I+U-2>)u7C$^yP7gAuth~}8}eO^2>X_8+G@2GX0 zUG8;wZgm*=I4#ww{Ufg2!~-Uu*`{`!$+eE)in1}WPMJ%i|32CjmFLR8);bg^+jrF* zW0A!Zuas6whwVl!G+Vp(ysAHq9%glv8)6>Sr8w=pzPe1s`fRb9oO^yGOQW^-OZ=5? zNNaJk+iSAxa}{PtjC&tu_+{8J_cw=JiFhMqFC!}FHB@j}@Q$b&*h-^U)Y&U$fDWad zC!K&D&RZgww6M(~`@DA92;#vDM1_`->Ss*g8*57^PdIP-=;>u#;wD4g#4|T7ZytTY zx(Q8lO+5Ris0v-@GZXC@|&A*DPrZ51ZeSyziwc>%X>dNyCAL zOSDTJAwK7d2@UOGmtsjCPM9{#I9Gbb7#z25{*;Tyl-Zho(Oh~-u(5CLQl;2ot%#Nl z_cf{VEA=LuSylKv$-{%A=U+QBv0&8bP;vDOcU|zc3n!Nu{9=5j6^6DL&6tm-J4|~) z9#1w(@m3N|G3n9Xf)O<|NO+P)+F(TgqN3E#F8`eIrDZn0=@MQ%cDBb8e*D_eBUXH+ zOtn|s5j9y2W~uaQm*j{3fV=j|wxar?@^xjmPHKMYy0eTPkG*<=QA$Wf)g`tfRlZ0v ztEyRwH(8<%&+zbQ+pg>z^Ucf8Jj>x$N*h{buawh;61^S+&ZX>H^j?#nw!}!~35^Z# zqU|=INy-tBD+E^RCJdtvC_M2+Bx*2%C6nTfGS!1b*MJvhKZZPkBfkjIFf@kLBCdo) zszai4sxmBgklbZ>Iqddc=N%2_4$qxi==t>5E!Ll+-y(NJc+^l)uMgMZH+KM<|+cUS^t~AUy&z{UpW?AA~QO;;xntfuA^Rj7SU%j)& zVs~)K>u%=e(ooP|$In{9cdb}2l?KYZinZ8o+i;N-baM#CG$-JMDcX1$y9-L(TsuaT zfPY9MCb3xN8WGxNDB@4sjvZ10JTUS1Snvy5l9QPbZJ1#AG@_xCVXxndg&0Cz99x`Z zKvV%^1YbB2L)tU+ww(e6EZYzc6gI5g;!?*}TsL=hotb0Mow8kxW*HVdXfdVep4yL` zdfTcM*7nwv5)3M-)^@ASp~`(sR`IsMgXV>xPx0&5!lR8(L&vn@?_Oi2EXy)sj?Q8S$Mm zP{=PsbQ)rJtxy*+R9EqNek1fupF(7d1z|uHBZdEQMm`l!QnDTsJ_DX2E=_R?o*D5) z4}Rh2eEvVeTQ^UXfsDXgAf@6dtaXG>!t?(&-a~B^KF@z*dl$BLVOt|yVElz!`rm5n z&%<$O{7{?+>7|f%3ctTlD}Sc0Zs_hY;YO-&eOIT+Kh%FJdM|_@8b7qIL;aj#^MhF1 z(>x4_KPKYTl+AOj0Q$t3La4&;o`HP%m8bgb`*0vs83ZT@J#{j%7e8dKm;){k%rMw* zG9eKbw_mh1PHLUB$7VNcJ=oL;nV~#W;r|rv;ISD5+Q-FH5g~=&gD`RrnNm>lGJ1GE zw`K+PW!P*uxsEyAzhLvBOEUkj>)1sV6q-RhP*nGS(JD%Z$|wijTm)a5S+oj03MzBz zPjp$XjyM!3`cFtv`8wrA`EpL(8Soof9J(X7wr2l^Y-+>){TrmrhW&h}yVPonlai>; zrF!_zz4@5^8y@95z(7+GLY@+~o<>}!RDp|@N4vi4Y-r@AF@6Q7ET8d9j~&O$3l#Yuo`voKB12v8pK*p3sJO+k{- zak5sNppfOFju-S9tC#^&UI}&^S-3TB^fmi<0$e%==MK3AqBrn!K@ZCzuah-}pRZc{ z?&7p`mEU5_{>6x=RAFr4-F+FYOMN%GSL@mvX-UT3jRI;_TJH7}l*La_ztFn+GQ3;r zNk;eb?nh&>e?Z$I<$LDON!e1tJ26yLILq`~hFYrCA|rj2uGJHxzz@8b<} z&bETBnbLPG9E*iz!<03Ld4q;C140%fzRO5j*Ql#XY*C-ELCtp24zs*#$X0ZhlF~Qj zq$4Nq9U@=qSTzHghxD(IcI0@hO0e}l7_PKLX|J5jQe+67(8W~90a!?QdAYyLs6f^$ zgAUsZ6%aIOhqZ;;;WG@EpL1!Mxhc_XD!cTY%MEAnbR^8{!>s|QGte5Y=ivx6=T9Ei zP_M&x-e`XKwm+O(fpg~P{^7QV&DZPW)$j@GX#kClVjXN6u+n=I$K0{Y-O4?f;0vgV zY+%5cgK;dNK1}{#_x-Zyaw9sN`r9jST(^5&m&8IY?IBml#h0G3e?uSWfByzKHLe8) z9oCU{cfd~u97`w2ATe{wQPagk*)FX|S+YdySpplm-DSKB*|c>@nSp$=zj{v3WyAgw zqtk_K3c5J|0pC zSpww86>3JZSitYm_b*{%7cv?=elhCFy1v6m)^n?211803vG_;TRU3WPV`g7=>ywvsW6B76c-kXXYuS7~J+@Lc zSf%7^`HIJ4D|VX9{BlBG~IV;M->JId%#U?}jR@kQ&o5A3HyYDx}6Nc^pMjj0Jeun)M=&7-NLZ9@2 z)j60}@#z8oft^qhO`qgPG;Gf4Q@Zbq!Fx_DP1GkX<}_%EF`!5fg*xCsir}$yMH#85 zT3Y4bdV)bucC=X;w24>D>XjaA@K`En^++$6E!jmvauA$rc9F%b=P&f^I7M+{{--HM z0JXFl21+}*Oz8zr@T8JQp9Td0TZ7rr0+&rWePPKdaG}l-^)$@O*ON;2pkAjf4ZSg# zy{PLo>hhTUUK_q5L{o!vKb^7AIkbXB zm3BG{rbFE>fKfZsL4iKVYubQMO_AvYWH<3F_@;7*b}ss*4!r5a-5Mr{qoVbpXW1cja+YCd!nQ3xt*CEBq_FNhDc93rhj=>>F59=AN5 zoRmKmL))oDox0VF;gltwNSdcF9cb*OX3{Gx?X{Q-krC~b9}_3yG8Bn{`W6m}6YD#q zAkEzk)zB|ZA2Ao`dW^gC77j#kXk7>zOYg~2Y0NyG9@9L)X=yRL!=`tj7; z^S=K3l)dWTz%eniebMP!Z)q@7d(l_cR;2OvPv7I~Va{X>R@4XXh- zOMOMef=}m)U?`>^E`qUO(+Ng$xKwZ1|FQ|>X41&zvAf`(9 zj3GGCzGHqa8_lMGV+Q3A(d5seacFHJ92meB0vj+?SfQ~dL#3UE!1{}wjz|HPWCEHI zW{zYTeA(UwAEq6F%|@%!oD5ebM$D`kG45gkQ6COfjjk-==^@y6=Tp0-#~0px=I@H# z7Z|LQii;EBSfjse{lo}m?iuTG`$i6*F?L9m*kGMV_JUqsuT##HNJkrNL~cklwZK&3 zgesq4oycISoHuCg>Jo;0K(3&I(n-j7+uaf)NPK7+@p8+z!=r!xa45cmV`Mna1hT=i zAkgv-=xDHofR+dHn7FZvghtoxVqmi^U=Tk5i*(?UbiEGt9|mBN4tXfwT0b zIQSzTbod84Y<){2C!IJja=k65vqPM|!xFS?-HOK!3%&6=!T(Z$<>g6+rTpioPBf57 z$!8fVo=}&Z?KB-UB4$>vfxffiJ*^StPHhnl@7Fw@3-N|6BAyp|HhmV#(r=Ll2Y3af zNJ44J*!nZfs0Z5o%Qy|_7UzOtMt~9CA*sTy5=4c0Q9mP-JJ+p-7G&*PyD$6sj+4b>6a~%2eXf~A?KRzL4v_GQ!SRxsdZi`B(7Jx*fGf@DK z&P<|o9z*F!kX>I*;y78= z>JB#p1zld#NFeK3{?&UgU*1uzsxF7qYP34!>yr;jKktE5CNZ3N_W+965o=}3S?jx3 zv`#Wqn;l-4If#|AeD6_oY2Y||U?Fss}Sa>HvkP$9_KPcb_jB*Jc;M0XIE+qhbP$U2d z&;h?{>;H=Sp?W2>Uc{rF29ML>EiCy?fyim_mQtrgMA~^uv?&@WN@gUOPn(379I}U4Vg~Qo)jwJb7e_Pg^`Gmp+s5vF{tNzJVhBQ z$VB8M@`XJsXC!-){6wetDsTY94 G*yFsbY~cLNXLP73aA74Mq6M9f^&YV`isWW zU@CY~qxP|&bnWBDi{LM9r0!uDR`&3$@xh)p^>voF;SAaZi_ozepkmLV+&hGKrp0jy9{6cAs)nGCitl6Cw2c%Z0GVz1C zH-$3>en`tRh)Z(8))4y=esC5oyjkopd;K_uLM(K16Uoowyo4@9gTv5u=A_uBd0McB zG~8g=+O1_GWtp;w*7oD;g7xT0>D9KH`rx%cs^JH~P_@+@N5^&vZtAIXZ@TH+Rb$iX zv8(8dKV^46(Z&yFGFn4hNolFPVozn;+&27G?m@2LsJe7YgGEHj?!M`nn`S-w=q$Y4 zB>(63Fnnw_J_&IJT0ztZtSecc!QccI&<3XK0KsV4VV(j@25^A-xlh_$hgq6}Ke~GZ zhiQV3X|Mlv6UKb8uXL$*D>r^GD8;;u+Pi;zrDxZzjvWE#@cNGO`q~o7B+DH$I?5#T zf_t7@)B41BzjIgI68Bcci{s-$P8pU>=kLG8SB$x;c&X=_mE3UN@*eF+YgP|eXQVn) z)pd&9U^7r1QaaX{+Wb-9S8_jQZC19~W) z*_+RuH*MPD=B_m7we#2A@YwQv$kH2gA%qk7H)?k!jWbzcHWK497Ke<$ggzW+IYI2A zFQ_A$Ae4bxFvl4XPu2-7cn1vW-EWQ6?|>Qm*6uI!JNaRLXZFc5@3r48t0~)bwpU*5 z-KNE}N45AiuXh{&18l_quuV$6w|?c-PtzqcPhY)q{d+Hc_@OkartG`dddteZXK&Je zGpYJ-+PmEUR`sOnx42*X$6KT~@9ze#J>YvvaN24jI}4QG3M;w<>~!2i@r)9lI!6N1 z0GN((xJjHUB^|#9vJgy=07qv}Kw>zE+6qQns-L}JIqLFtY3pDu_$~YrZOO$WEpF>3 zXTu#w7J9w+@)x-6oW(5`w;GI8gk@*+!5ew8iD$g=DR*n@|2*R`zxe7azdr7~Z;$%< zSH@*lQ9U(Hx^%Fb|1?Smv({(NaZW+DGsnNWwX(DFUG8)(b6Rn>MzUxlZhNbVe>`mS zl&aJjk3F~9{lT-}y>e~pI}kOf@0^%Vdj&m(iK4LTf6kmF!_0HQ$`f-eBnmdTsf$_3 zR`hz2EjKIKWL6z@jj1}us>ZmY)iQInPifzSiOFN92j9$pX*CuV8SPrD#b%Qa97~TI zS6)?BPUgFnkqG8{{HUwd)%ZsvurI~=Jr8YSkhUA!RANJ;o|D->9S9QB5DxTybH&PGFtc0Z>dLwr|Ah}aX`XwTtE&UssYSEILtNijh)8)WWjMm$uT;+p1|=L z><4lEg%APBLn+FRr&2tGd)7icqrVXFE;+3j`3p~mvsiDMU>yK$19$B@8$Dy4GClfzo4)s_o2NuM3t-WhCrXE>LQ z_CQtR*!a0mhnw#I2S=WxT_H@^Saif`)uhLNJC zq4{bSCwYBd!4>6KGH5y~WZc@7_X~RqtaSN(`jfT!KhgGR)3iN50ecR$!|?Vq8|xa+ zY#*+B=>j4;wypclu7?wd+y06`GlVf2vBXzuPA;JgpfkIa1gXG88sZ*aS`(w z_9`LL4@aT0p!4H7sWP`mwUZRKCu@UWdNi-yebkfmNN+*QU+N*lf6BAJ$FNs^SLmDz z^algGcLq`f>-uKOd_Ws4y^1_2ucQaL>xyaQjy!eVD6OQi>km;_zvHS=ZpZZrw4)}Z zPz(rC?a`hZiQV9o^s>b?f-~ljm1*4IE<3plqCV}_shIiuQl=uKB4vUx2T$RCFr0{u z1v660Y3?>kX@{19i6;*CA}pJsFpo{nculW61+66XAOBZD< z{H|h`mJS5C2;ymL##}U*MC%fL0R97OSQ@lUXQ-j?i{z{=l-!$64H{LlTLo{Ln<|OV zBWq*5LP`KJl74fC{GzzP_Z;;;6i--QpZUrtHC@+RBlt+=_3TyV4gk=4b{TBJAx!GehYbTby(&-R337 zQ%g2)Uc&K|x|eL0yR*VCXDBqZ89C(obOFYYht(k`^q0OaQ*Y{)@7xE~KQ7XN)hGlZ zl5$1<#s!tyf%>mbIG(9WR`R*{Qc_h(ZGT^8>7lXOw^g1iIE2EdRaR^3nx_UUDy#W6 zy!q(v^QLL*42nxBK!$WVOv)I9Z4InlKtv#qJOzoZTxx86<5tQ*v528nxJ^sm+_tRp zT7oVNE7-NgcoqA#NPr*AT|8xEa)x&K#QaWEb{M34!cH-0Ro63!ec@APIJoOuP&|13 z9CFAVMAe@*(L6g{3h&p2m!K zEG?(A$c(3trJ5LHQ@(h3@`CB*ep}GDYSOwpgT=cZU;F&F6(b=V*TLLD z*fq(p>yRHTG1ttB*(Q8xLAl4cZdp^?6=QjcG;_V(q>MY0FOru|-SE}@^WElQTpCQZ zAMJy_$l;GISf1ZmbTzkD(^S!#q?(lDIA?SIrj2H$hs*|^{b|Kp!zXPTcjcCcfA+KN zdlV!rFo2RY@10$^a_d*-?j7HJC;KhfoB%@;*{;(hx_iP`#qI(?qa{b zH|YEvx~cE^RQ4J}dS>z%gK-XYm&uvZcgoyLClEhS(`FJ^zV!Vl&2c{U4N9z_|1($J znob`V2~>KDKA&dTi9YwyS#e-5dYkH?3rN(#;$}@K&5Yu}2s&MGF*w{xhbAzS@z(qi z&k99O!34}xTQ`?X!RRgjc)80Qud0{3UN4(nS5uZ1#K=^l&$CdhVr%4<67S=#uNP z$hnqV471K$Gy&){4ElZt?A?0NLoW2o_3R)!o~sw#>7&;Vq954STsM(+32Z#w^MksO zsrqpE@Js9$)|uQzKbXiMwttapenf8iB|j(wIa2-@GqE@(2P#M09Rvvhdu!sE0Mx&cK&$EtK}}WywYEC~MF5r3cUj%d$|lLwY4>`) z_D++uNojUl@4Cz8YF3nvwp>JWtwGtSG`nnfeNp(_RYv`S2?qhgb_(1$KD6ymTRgnD zx^~3GBD2+4vB9{=V_iMG*kQTX;ycG^`f{n+VxR4Ah!t~JQ6Z?Q;ws}Jw|#YE0jR0S z+36oq6_8xno^4J?Y02d!iad3xPm+8~r^*Vvr4A<|$^#UEbKvJ9YHF=Ch2jF`4!QS# zl8We8%)x>ejzT^IH%ymE#EBe2~-$}ZXtz&vZ_NgVk4kc zOv-dk(6ie2e{lAqYwn9Q$weL#^Nh?MpPUK z#Cb)4d96*6`>t7Zwsz#_qbv6CnswLS9Jt|b`8Mqz?`?H1tT99K#4#d+VwAy}#eC74 z;%UFxaNB!Zw`R9){Pncrny4>k;D}TV2BU0ua-+Fsp>wmcX#SGkn`h0O`pN*`jUj8q zIlnc7x6NRbR)=wP1g`-}2unC>O6ow=s{=NV6pfEo3=tY8 z=*$TKFk8Wv0K8B_**m*Q>+VW*1&gD#{#GSc(h#YQL?*<(ZUx~>L^RyAG3}j0&Q|mJtT7ec|Y7cr~ z+A`Wz!Sqz9bk0u-kftk^q{FPl4N+T(>4(fl@jEEVfNE$b*XSE)(t-A>4>`O^cXfrj zd_nrA-@@u?czM(o3OVDok%p3(((12`76;LwysK$;diTl$BdV)!p5Gj=swpb=j2N>b zqJ1D5E#zO9e(vJ6+rGuy<(PS-B6=gHvFat&)qr%j7T`vT1ju zIvHwGCk5)id{uDi@-e?0J*(-W-RGZs)uhSeqv7TA&h|CUx(R0ysoiQC8XnxL&RXI3 zO`H`8Pe&^ePw*`{rIJhzUg@MuhUL`IONG^*V?R0h5@BRDFgEF45b0jSrg0r{<4X)nw^c)uQ_Ai_p>ic!=K$pmnyqYb=`6fUo40ru#Gh= zMRJxOD(1n?Mjz_|IWyJK5^fh3*n>eI0MmEKq%=-oIdGd4F-LT>RL)Bp5FWxb4aNLNXB^o?YBSXQ`SwN zI*N~(CQW~P$HpzwrMG4IZKI>TVI4nQ$a-#)zV}LE(xgQ5MG@L#e!e@ ziNtg{Ph&qpX9FLaMlqMh>3)Nu%sAO#1NEsbe=#4Vqx0Y;<~+mV!xwj%}Z=xZn= zSqjxSH4T~v>Xd*=2wmHPN?@+9!}aQz-9(UIITZ==EB9}pgY1H4xu^-WdOFSK!ocZc zd-qhN$eZcN#Q^0>8J%)XI$4W(IW6R810*ucIM7Q#`twI|?$LYR1kr>3#{B{Z4X(xm&Cb21d^F9MKiD=wk_r+a=nyK!s^$zdXglCdshbfKBqa5aMwN#LmSNj6+DPhH4K-GxRl;#@=IJc zm{h}JsmQFrHCioWCBGzjr5p9L4$t4`c5#Cz(NJ#+R7q-)Tx2)6>#WZDhLGJD964iJ zJXu`snOYJYy=`<+b*HDiI9XPo8XK$TF86)Ub5=NC@VN#f$~GDsjk01g$;wDY!KqOh zC$x={(PT7CH7c?ZPH{RNz}Tel$>M0p;je4|O2|%Yq8@sCb7gRhgR4a*qf+WGD>E8~ z`wb<@^QX)i-7&*Z>U6qXMt_B2M#tzmqZTA1PNgzcvs|(|-E z4t*ZT-`kgepLl0g1>H!{(h8b`Ko=fR+|!L_Iji>5-Qf34-}z%X8+*Qwe^XrIS4Re$ zWUblH=yEfj!IgeIQ>m}+`V(4u?6c;s&Ym_6+pt|V`IQ1!oAC@R1XC3tL4BQ7`!TnU zWaoqG=nhI@e7dV7)8VzO8ivuC!q{hcxO7fo#2I=<`rktP0OfAO-CQE!ZT@}e7lw;{c) z@2l7RV$@&S5H@{=Bj~^Kp5At=Jq=Y92rXP@{-D4j>U=-a^gM2s-nIZA;u=fbm2BP=Zca5W81_cA>Tr z)x+r@{pu_la2Q(wm`Zqyd@GhNDNT&4oNHb_>w4{jIU}m&iXykMxvi;WL8;y7t}cp& z9CEpR)WlI1qmOq!zg4QTmzv#eP3>NLd7V-+YKmuyLFP533rd>WnvL$F3b}g39PYk; z)^hXQ%5jO(B}-TMio7@t<(V?7M5!ycd)u4Z+~!hym9+KwPVO^Wkhi^Dc7$R@)o$oh z^mRbgQ@5EvalJa}V4Bi3cs^w5pYtbXXz5W|e%+z-K;8M%Lf~BlZRvNI7=)cG6lbjg z?)l8iOw!mU`uaKN@UL4>d#edM9^-ePb(VICy6Cg-H^Ew$n_s801w`A83W!_Z{D+1G z(<9A>WB@>)D%cxw7c?Xv7N}6gg?&TkLX|0@k&VL)YMI~SsE^dzj2^3BKL7SM$!0Lt zj;ytKWw|(58n6_NNH$JVRh!W*wewMr7)H2jOCruuJAIIfPMFpf6j=hL!D3nVT9Dpo zut}|VoG<%v&w;HrQtz<%%T&X##*z5{D!!egoRN}R_Xxuy+E3dhx6!7mlNyuqsKR-P zlP#8EKGt{Ij~8kXY?&*%q)PkPG;rziWPd>HefyPwV49!>f&Q_@Fn{8Cyz{HCXuo+( zJMu<#{Tl}^-dh%nM0IrDa@V zMHgAog4`tk;DNK-c{HwRhx%Fn%ir3mex!XeZQ4QY)vQ_iZ(j4-GcO?@6Z-Y*f?u7_ zmf!}WRoGkI#BO9;5CFvMobtV@Qm?#eNKbbX!O@xEVhnm z6LFnWu=E}6kB82ZEf!g}n5&IuivccTHk-_5cazDAe+O!_j+dQ~aUBy~PM34Eq0X-LOl zjunFnO<4Nq|BL`!xwvyj&g9Q0(A_*xLT~l{^nM&kGzB7+^hP^L&bD7iVdXe3wobJXVX~o*tX$ zI5xthE?gAl!4+v~+ASbN2nYIqNn_#3>!fi2k=g*Hg_%caA#plNQR+RtHTiW>(*OFG*-nzu~6DMCrX>xzP`3sj}D!||8 zf3dk-w(NCUMu^C%k|t?sa>9gU_Ms-R2Hhm~4jNfPPyH!3Zy zV0QFf=MWK%>|(eV$pB5qOkC)uou{oIJwb_i4epV{W95%N)`+uOrLx7fNtD^czsq4B znAWb+Zsk|YX}a?b+sS-!*t2w1JUqU6Ol`&Jrqa5=4eeLWzr1DX1fWW`6MYf+8SOW< z+EMJ|fp${RJ7q9G7J+`pLof$#kBJP^i@%wNnG3fnK?&k>3IUVo3dbs9Nt)x_q|wIB zlBAi#1Xv-<+nr<13SBfkdzI?dJ|3~?-e>MzG(yRsA}I_oEd{HEGZ&7H|Km9mEbL6r z{Ubhh;h6_QXN_?>r(eWJ@CM1-yn6Y#am!aXXW!EfCpu}=btdYT?EJ>j+jeuc%;P2g z5*J%*$9La$^cy>u0DqjO#J%*IdaaPnAX#A6rRQ+sAHhY@o32==Ct3IF&sM14!2`FD zA))>ZKsccTyp$U0)vjABEY_N5lh(@e+Gj>sYOTgf?=82K)zw-?JX2d$x}n2Y0v%SjDtBXDxV2TyyxQmN?2%8zkKkKF*!AA$P$1#qrF%fUu~URt`tp3C_(>^tkcbHhO0Hh0A zpTVQR{DjsD=y-Bsl#nuTVKRxYbjpSJg|K+SEP+^Y*z3S9p(_-s9^YP5Zc?Vz*o(Qx z?f03co`dGfW}0T>UdEZaW>s0XVEzlw@s&bc+B-9;^^AGsx$AE~!1-7?tn9z|p4}_? zRsM&sjg1>#Rb#6jFBRKMeZ>I_4<%=&rF3yqUD&Lik@7<@2*(0rC)UqPj`Gfe8L&{S zhGtB67KhF{GnLZCF}gN0IrIPU_9lQ)mFNEOyl0tx-!qeCCX<;7*??>lNC*Q7`xe43 z2$7wD3MhiII4W*v6;Y775v{FSYqhp+|6)6BZR@Rdz4}#KZR4%=+E%T%_gX8-9KPT4 zo|$Aa1ohtUet#uro3p&@^FHhEX`OcGjq==$UeAQ~<6AZzZ|l75nn<#}+mo0rqWv5$ z1N<|1yMgX+Qmz?53v|%P=^&74bwqfH?xIC`L()W{|G`j^>kbs7q<$hb6fL@S za#nHyi$$TJ7*i!6estChR}QriMs#yy!@Po#AYdeWL~* zUR%)FT#4Q~O-N!O&it}b8zFOmbe=egH*Ka<9jT?dFCMAcagAo<>tKrW%w?P_A_gd& zXwHTn>a>WEWRzimu7EJ*$3~Jfv|@bLg}6iH4mgJB!o60eP#_N!xYrQoMf4&rGLau~D9ila zYGD*3*MNN?v*n6op+dQM!Kkr@qH1|^ zh7skG&aC;+$C$OSR2!ke>7|B6JDpjV%$Jo5hI14PGyx1I=Diw7>h@vzL?PLTzC;`; z?}nkmP%J6$BG!9mxz?+Np zIHbVy&<#H&Ekz1(ksSJ_NDQ+XHyg-!YcW8YvE5v*jFQ->F;|Q-IB@Mw6YP~v=jY$~9n@~8MVO{1g z@g=-I$aXs1BH&>hK(~|d>Y9n*;xRm&07=pLuqVYV-bwyCUIKgMdLSrovEs2f3{b z<++d|UX&}*7)y8){Ntc{RL*udOS8r%JV4EZ64fUF85n7%NAWejYbLV}NB|lS>SnYN z?PFpysSR*OodDcNK;OVKsSbKS^g;|bSdogA=};1?3rYq|Nc_tR!b2ln>=bNTL59uS zZjF^Y1RoS7qF^>LEqt<#Mu0ZjpiUNLtsc5%t*8}5lW4OWwFXfqGn-q~H)5}2mSRZ^ zKpfQxOe+KC(M5V`tz1zQ)@pTTQ2?NgStmwpvPCi&U9wd)m<^I-w&{(`Vb?Q*4ApV5 z(G}DMfgox!S_C+OTa5UkEbB#G$SC<8vLrDPPT_Uq5N~7`%Js5Ut3!o!f@HJm?b;(N zbbv90V6J7=E&)E`b|}N4n`VOOuvo$IEMx`%EkX8mpug0yY80enF3?M57gI zQ((b(;dv_v7PDKFgL|6)q^sb%Gp_aU)wp^uX96>jGEsOmBhyuDZ8}+y{bG?UqGqyDfYMtJ{6@xXI>fVC9g+uG zbQzl4fY>P6VAkv8GEpapl2>quqSIoui)Mr95Nuw@voGBux%Mq zYqG!&A9RXvoI%gZRwI->g2SYPB1tbg0U9UkC70cRFPTKU0L{E!2e?|as;p-wNwA;> zm}yKfYURNzE545Jz^T+srPZUGX{3qx0H&3ol`)Eow3xXj!2lx+DkB=}EoF`(n^)2W z_26hljpwvSdw}akJQN9;WAQnnHTN=3Ko19hR`Qqt#60*^1acxN84Oi8W-4nXd^@w0 zVpMzKqWw_(cHwQ`*uQ>F4F;Ncc?}XU{q867ZF>zihsu1j_i%f38%41S53RkO-5Bq< z<^ffy6fQNDn;z=lDz2OXjU+MMr0ziZ)HseHI3+}-N8v$8UWEK_n5pL6VPUS@YH^ z-F?^bJ%5Vt}@l0B2B$XfpF!7J0KUW$rc!~hPD3+Ms%)ia=pl{0nuS0_) zMk9rt16uqE&;%{gtVGqhUs{u$%()O~zzC_11`vYVVXfdfEU}YwTDn~JYTSiTDRNih z4#ap?$m%48h4*c`rhEH7?VLTW9aCi~b>z~)W0xM$c|y(8H%u~4?Yic=Yr3WyCvBMC z9P;P}Ra`!CY1TVd3~%qgX48EO<*6O5d**2Osm_lAM&ZKw?7XUKU$o?gjCIcqH|%NJ zuxtIAj>_t$YW%D0ShIfD2DzU5%qnHsRN0vm^B3-wcim7D^;K7~Uj8EuKZ;X3tlbVD z(=eh%wxAVAWPvDL3Mmg=TPKpMGzTdG=aT&qTw(TFBIg<;`kFOrB)&>#;&>KE1kb>+ z2B2dhdAN+pj}^ZH_t#P}WOC_RDs4ppbD0<}eknMnviR2G%#`AniYwzKw-y(_5*$-_ zmw5S-TNmxQbkR$TmM>p=*`CF(EG{@lszbazB$k;2MYhTooy&w{`02hJ3>+yIKEOe7 z@JMkSHwDW^-jsRwlSM}sEqQs-p1n(#FUOllp3=O)Tup&?1<^)a@`nk7JGz35N>n$} zBOy~(>fI9qX^_jCE*5|=cn@Q((|dZ4jk)4MmOAk+0xA#wuDRF-%lTtBwIA!9Gr9Ct z$c`7mj%LBTedqC%Rm_T=dk5?Lu6Ta&XaF9q!a$AUtk$ z*e$72Su7q{Rad`o)%w|Sbyv5rzAip{{VH|GtUY1tf`Dk1!6*HuN9YH|>@$Gpvq}N6 zCzbi<_XLxmE|LLdr@JCzPlDyUYO2J>kDK?krp5CY@11*7)8aCVVb&~zrEGE2O>>tojkD`+_dDb1*Ao``HQpP(giSRL)4OKuTMcNVOb@(m7M?noGc?geUJ;8t6u0>WYa5RLDJ>(^Zu~>-DTzEbb z=Pw6=C#Q(ao#It|Sa^jEBWtV8YNL5Ce+KO1 zHqBg6?QNQUAP0QbaOG=Lqb?5ZLlZP3JdqXFBbSG?_!QPegco`UzEDBCfy7n?l|5O(2uWh*{9fh*}OFkZGv)4J9g^Su_Z-y zktO~$6KAdO?4HIhm;a)+gVRbF%BNDw_qH-YUp3>pUiriPU-DaPao4J;%WF%Dllm58 z#~3FQnvO5O$UIv}o~Up(EN-l>@f8Ipwl+*yG^2h|U81N>`H9+~R;Nq6WZk+k_l_|; zqH`}-wki9Eekf?yVOxp~wx$i7mS&wyRfA;|YZ$pD0iFQM7=^Of;Mb5{*g%Q+MV}ZZ z4uCY|_@8q>JQ{}h=B5NG!svf6mRKr5#bVli@?ZR%doi+~75m0rb2XFdcTK&}XtK)Y z#n$?!<(KX3?3gc;rSMQ3)+>e{<=;f)h)dXgJA+DdJ5q_(=fbyjlD zyxOq~%LPEFsh*KmXEIW|_M9hDm%Gdrv97&s&LCvUqb)02CoZ4W(b4X%EB2q(#G5YM z&@wJkH_qwtRocyZt7Y4`(pa=cD4!kEPl#4{yum=*q|U{&O2DV&=)yXRws%3})r>`7 zty6tM=kuW2FpR*(!{^GYty*Jp1woSmG%(Qs4H^#!;!Q>OdkH@{*K(vzM1v#qO$_R{ z7+Jto9d&*4xTs#V1lt-9mM`tTxU{8|32n(X!6M-UNsS#R?m__F|Gn3X9 z&{djT%C$c`e{S8Bi4#KMy0LTS?(Vvq%{y6Caq7xk-@t{Re0DV4heM^6gkrEpL-{{% z)|>$4EU3Gq;JmPH{E@zsRX+#@>gc;qk2i2FwVHuCI??#%xdiMweM zWaT78*EG!|+OV634wd0UaR@TenRhksaP%AUUdHC0VcZ2nT> z|Lq#TX5O&2h!GYviFiX{IRHYEViDCLf^Wf)se&K4oOU>MQK$_!7!L(|E5Bx`dn|^Z z8D!P9pUu^~tYLFpB<~24WRqgt9Jadj5ce6JRV}}8O%6hRA!!0JH5LHs91WhgWWLJ- z!KL(|#^$p^amdJ5g8rZ$Ggy6?%`B;J_Kppf<0XMKcmmW9@>-TJn~gIShXI5aI(xEx zlSd-_6cOeEGR2J$MBqWpK*2%7D7_wEFG0(EP;?Sr1EpZsk|pld3%9nq47KjwNtga; z^X`AUY0HzBudMExSE>hYgVxdT>O;3bbp6&zv#t6lVjtU=7OitgFDbdK>r_jozEYb*t7qdj?MRk%pu)4==CR^bNgHOU-j*emraW7T2WR%b?1^<K?p<`lIUQwM$W=cui|bx}?bTOb6E1v3`QcM^BdcQe z=PpkFc*njs2H)6MH*NX+$l&D3bkD1=@_CF6^b#6m7%YZwDoKJobt%*>6l7EZ=V>@G zzzY{zEr!q?#B%Vk9VD%4E~MxbJ)hcn+q^0Z=@qNy9XNJiUX{8Ns(OzNq-fqrsbhbE ziWT!T7SLhKQavnveOJ`2^uK@O;eGSx?>nsSlq%#_#sdo9iphZ#Jwo|{FhMbfSrS>R zQiwFss8KQy?9j`|&<*8j64q^OVgV#e63^ksE_l^9($wb9f`EyHv4&?kqn<@TAOMm< ze1YGL4dcENbcWZd&n7h~Atmwe(#RoslRpeyDguGF}j}$MRo9?SM8!=4Q2wU($EzceOopeaHDv$UhoQfY3;W=e^g5xM87H z;I{8*GeL)G;HH8ITBt8$#)NOPnG>ql&Qh*h zWt>ty34rm;*F33uigBg#?eg{u7R{5>Q`U$R2j3@_Lkx_M{bOC#*zx1XR_*c*B-IGq(GV|B@o{8hJ3p1*lD@AJn%&$i*n1|9(=hKoMs|KsjeFu0HwhG-gj z6NR02xQ2KllvU2l&Q+ddYuKj6LihSj-&!x-tUR@F>EtCIlkybUel`o1t{IyqKm3Y# z^I%x~1FN64cI~X$=bbnBPUd;Rxn=jXhSG-2Z`jT3lX2q?hsL#({W072*)OlJJQjT){R0dcw$MIV@Im_3E)riYBiU=q`Y_6ca&e9uVeb_jW)Y(*6X`BKYM85 z!b8t)Ui*XT*XL>UuiVO9x8B8yUlNM}WBcAqm)&yESfoE>5R7X!w(jnYSbl8TpaivJ~v3;LD^f$vOykiS%0kDp1GRq zVCg_iC;5ATIf&(~gt_DK_8Vo2`%JbUh z9jfe_*S6Eje-d8cyItyiX=UK|B_;1L?UVG9n?6x~K;xR|0vZ5x!At8OJYq-&B}jT5 z#x}{P70vb-p^szS5EvI&o&q#3;_jrm%4X&6S8u*@Sv#ZVm@V<@Hf3s4l;7vm>@w-r|)yZS%w?(I1*QeIrsG=I+5nepzsGxrc~ z!pSc|SCA)uB~*o*q}1leH+COyX<6)cl^Ly@AOH2^A6)<8mq0BH{PW9E7WVFW74(6f z)`kEd2^SPxr15s^#3*QkxXWqEyk{wqj1GtNbEQ|(J1tK6 zUnIYs&2$CihuMv=&x^lu`v>+G339PrtlYp%HorK*>MU~Tjmr477+hGhviLYl@>d-K zU!uTPY~kv}%w^h&xW}uU?TFq&;?(Rl#6glkWN>Gw4B#URl`pWSWHsaPj-^{T?+Rl%;){@`StD{A2dwJ|V96v& z$16bph~Zles|b2KXKVo$Gy2J6qqP8xDY~bRh4}rn$()b-mt@e#Fwd)MdNQq8Y*-I^ zKqOSY68uyOQhX&e!epDI){mhNNM=IwXQLY2+&brLfPWf!2x1u(hS5ey?BxMlyyvL* z=no!g*pcWU2>q^rYg;4Lqki3-zG)X;d+6E=r*#^~7*m$_EGg_eQ=4jA+oZ8YMYWd6 zb?&a!UGBQcmfE7Cu~J)W?WPsCJoTfeZdoCs5nPtKdb}+(w{hma1+}#c_RZX|z*J-U z`YpG79lHe^?%Xkc?nU**&Cy^m+F0WA*VWfFHrCYF`F$mgbgj9#{-U|#cig$|;T=<^ z?0A^d|2~dA8{jc0T&>LodGPkA2Ce<%xn1wIlX?a%!@Eq4Md6Y$Pjh8C)#tL9&B{-Z zDl*AaMfM==qY6ZMs*j2-_o&#DtOvEgKO^o#a!G8V!FLJa99SgR=R+3-1WD>6kPt4T zQEnn&KOhDe*4&&kDJBfJWl@4anq%Se(e27Iv}pbO#r>3wvWJpUt}zNZYx9klkhS?P zCbrI418eh@4+uTT5z<4YR!}Wu!0bb{)|g-CHs~wgPLx_;gZ}Pe*r4aOmyr#+pp0lb zHFY6iYKHu9A$fn1?OWE+XV41w8uJSK1!e3*OLwh>v1U`ou!Z{BA27G z@n6d|J;N3qwe4uQiV3KTDcpf57p!m?0p3so1Ax@X#2IiaA}2>9&SUXL^1&>Xh8#Oo zQ?C?L-8M|oiJLpU6Q{%GGh;&0K{owhQSY%3!h1qcSn>U|R_L;f`cCNUO-efJ#sSbh zkg5Hb9y)Ys=YeAvt+X|EzTjRz37BGClh(UmXfNBmxvV{Ttan9870vRhk`;uSF?`m! zyWBXXtg*^vTY1s31F*aP^xb!Xf`+yrz9*G!3+V51{2PK^bPhMbp(nxq$mtS*2*~V% z(N&JbY2FYBI?V#24?IeNyZFFOpZ~&zB|@M?sbh`bnlV9zkG}tHdLK zx+5aQXm)byO7#8XHFtDn$5~LO*5aqH%?m z$2wT6nTmGDI)?$JimeWHNO7Kra|S#r4ugug1UgoGf)+&L03keV@p1OHE$p^lBA zt*GJGLDNniq=XZ4I+Mb*82pqbfoQ@+p_JGdB0aQaeTB!Lr#Z$97FjWL@MMe@Z^D+s z&IK)jih;Wbb%1MocDc@#$)|IKVWN*g2&aNVGFMmdoaL`cE`T^;1?Tcf@^i>q-czu= zA7p!sX62V=__ATa&S(g9I0rd{)J6Sdr^qB}JA4(U(1Y-`7)a4D)MA`g7I!Mwm6+KC z^C_nUK7sX}(ukntS*u>(uyyY=UeDi#4Mlus`)o8@(xaLmYhKp;LGw3oP&Rni)G|cQ z7Ur#P!U!VO1g(pNoJAP;`R9fA(}??`-wW?AJpaG_{Fi;Nu)eT^;QuU%IRlFc*+_>_ zx`&U5+e^|ih7FuRhmOU(m+aK71UlNUGH`jW!KA(Xf;sb)=69M;|L@O||H&xL zl74Wt!{fDxvzf&5M8E`Lo>IUfK@P&dqXA1j9Ysfw#32a=jPn2f=>Dps?=)zh0y=nF zlN*J67GXr@2Az6He%|WXWJyrTG^F6<|JoS+k`Xm{tCR{6!43_i__z|&s!LT*4`;a3 zwB^UO!_$ZGtWdT77?_S^7Dqv~y|xiDP)-YnK8%pxr7p+Lxp?4~wPvULd zUmZLLn47GQg>WUt!yAzB$G%F{zYS~B=am%aex&q3x^I|U4B;Xp?}AZk z^YIrlk>Jo6{xrIjl;V~Ot%d0#DhpmMHo+{Xi^Rz)*c5L{kRh`PE-|>;1QQ0h^lDfo zd@>|=U5Y91Dt-M)<#*Gl`Fr}3$-Z}Nfx!+IeZ!v7G% ztcDQl>kp+vdVk8V$G)HSg>V(Daj1A4`JRB+&HA5cq3-~n7Y2oBATKb2YG`uA6X8S{ zY?6>Vt(nsVyAxRF6YnNNtUn~CLrIFaIITfuxMVt=e)j}2Or%oj&|p93A5+|pOZ*pd z#pmb`Sv&G65piAWD5e2SoNSIcgY-cWl#06J$28$_X(YT)8umd{pHg7Zo=kQW0->a_ z7yr))>upwE8ZMWr(itk!ke5-mNGO~-u?owjq}8&~H}EaBRQUYJk_kzaMJ-j~1H#0S z1rxw$&lCSsY5*5Eh9p`{{~@y^&(mjM(r6cji;VSvEmZ0dZ}u7v>WxNaH@lu48ujuc z{04p_HtH?AmEG!dXI$pv!-8`CYpz_XJ(2siAQuczyy!!@pi$wT{)yp>!Xhe@`nl`z z1^zAe8p<`=WnrFL1*!@PPZ=huBJ={PS>a{s$9bBsNe$AX5$!cHKZH|luaOs}hA*pi zw$Rj=>@_5!LqS+x4X9Y`l2I@7_L`@81m(I&E!VL96$Z9khIpPCg?Db=MU?BT)g7f3 z1oR}eOn#rEov2`=TqatC@g-cu`;n}|1~nUG-Vnn;qJfhg6hp5T(E`dSLj-kY;GX6Q zi-z9$l?TDudYiv<9p*t?+4_WO=CNA5llp|}o}F1=q4CAqvoxnl z-+26xjr)Osgn&kH{tC8-tSujYAX&ByDk<0rhH0A)eE8>_MbIX>Z9mf=3Xu{d5DSGe z{bXd;!bUBGMEs02AatuZk6h5A3ny8K=vdpjVylr_0=J@48tARLevxvQQ6xQRF2uMT zDdlo6=qryT!$n?JVgWh91v4nu1G=%?-N5?j)BLSd2l{{#%0EAV&&xf1Dr{4qxZQ5= zL(D1c=mH9)qTh-=!wPQK;G!Plb9%5!QL&)AKmk+G}epRD9NQD(&9O0C6ZElh(DA_jLN=MkxobFd(kGnzu)+M~#d1*vxjpI7N&Q;y&0Q(nt9Ov@ z0UAx~93%#q(<@Bk9CzjhzLPRMRY32Y!M4>0SFb)OeWL#Q0u->@`-CeGuA;1us}BAQ zc@mIQK>2shoeQcVJ#!PiaLyd@Kj_ibnQy2+9_9fE%1-skgH%88v00xH6V6~l&y7;< z3z*+Y;rwAP`&tJ>jA`DJcZ`7&@iupQ%b%(G56`bmS<#9BG;0CU_T(luy zt=;C3Nlc<}xz{ z@bcSeLnyAw`PUGAL>*F~12pf(YnG!XZdkkO7$`Hc?ByN%$Z$rECfLDLP%2`Mw2Lkn z%iuczcuO)T(Vwa}C$&16nxS+qnzVRQ5p9I84;?;p=#nva%=pfXYl&x;$;i_ zP|dt~6wqbsm-{)G2ROAL$rK4<&wrWS4F}$7>VLjZ~K@NB#Cl zO&Qzj{Xrj9Q?1IwthH&{H`*sEN1LX>TEL$T9bDBnzAi-V%H>rqOSs{8i9DPnOQEm? zKnSNAa;HMY+M##OP3;`0pT=G%gsg(SQ~>24N?A+(Cl^G2rTi+Y_Xmo`>Wi*@@Y*8% zxO%^0U>2&c=s7QU*VIcq8^q`sm^J3$P#9i9SGJWj|-YQ|Bbro{q^IrwHjL#@aw6r zO5(p)w}zsz_FT2}`msf*s$lq^*3AS90U;2;%8zQ$AmjS~uU@58ERcbWhv?f>K#BeL zYN8qi*%SY*!e{wB?9^3;*7vWVA<6l3`r<8_4JXqkECB$U^#wWOuf$1XFNlXZ{n58dU(CAELUC!&Oi-&kb(YyL&bkw zFG94K{HSTIT!grnt(x7Mt9azgH#FZz%{*?b|DaQ#z(AfKI!4Z}p<~>Ge#1Se1*{80 z*9-3X((C!(%0GrhVCY#e9J%8rDwB&WM#Ib#hh$(WdygIeQucm3{$#|=Kl+eJTk1Z-(L@12&%MZxw-kLv=48+WES(PWIT1Ks z0C<=YX2Yy?Fc%$1$a>sE6N@S(ydbyNTznjed+MRp# zqQd(Tx2JkitUck{ZkFv%h>+T$y361us*p`!x@ITML#@u!?BZJ-!@DqEXFzk1cNoI{ zJl=+S{D?*ZKK1{XW)YK5yzt`pzw`QU#6SP_sM{sCSn6GMftpB-*B5YYd}6E1T{V8s zBM)6)8@_GeJO87$68vfVhG%-%V?Wnl^6Z65%hMOv_5&oUSnJohv?fUse?PIwpgrjj zbkDBTKUc**{+~4@My+3;_M*cli^%=z;`psm^74d} zCj*Zab%E6QT+owC_c5m2HMR6aD{F5vvrm4M^bRUw2oc1;q9jPZaA_vxsFaP~U?%O27@cleW3dOF$d>Vq0Zl}ZBVHjH ztf_?4md<5`q8EHId=*llqXPIzIAX%~1B?b5_S~HV>kar}&i$g+Smv7ZlTat1QzXxJ z$_Fac3X5RMSd@80O63eVgMA|`7viFSV3ZmRpY_8pOoLm0i@%=q@I7J=7Vq5YX9ffA z{>R`WG+DU(#C;6O|HMaLg9l zl)V7Zh_060KjCS9biA=f=azMILnJ&h}h zly@(WRadr83lyzrB*7h*#Kz%c#TEcwRZLH44Gb)Vv~oEAv$QE>6AfHr(F(C#@+ zLJlGHE;Y1|WL2(ysP_V;dWc_?Nl(dVTAaYOpjag5{{*~1y#T?AsgabJdOGqoA-oeB zE0oxN_!V3X&c0eE1?A93*;A)ACcg=udm8GzJ~h))e_kxCET|AT%Htl--e2VXnV<@TsN3YA17M0e6&-Kk=YQOE2LMDBtsJQIke# z@?QDP5g#LZ(1S@bh&gBDacz8F` zRpD-jIg8-ap`Ym@6rNlM3=JFCvr)2b9N_9ODp{J#8`v;h=Es?IOxlxNiKM<#Q9_2M;_jSYUH}t zqe$Y&x^->4;JRt+*3Xu{ylQW~6s%=u)@ z9}!qmL7OlT#T4rTQru(OPi>~6!BlKwMiZNC$FYcG5yvTlmyw#v=M)cWYQ~gfFJVt> zq~`S7oR)6J2?icV&xW6Z&I8CNu=}8Y!-3V5*oU(pJV!{pyvacr8HA5P0nDoEQ%(JY zi_HlS4K2djpeQwr8f|LDf-$pdJEIqbnAcQ(`R2Mwiz8zq+ZHaqq%>Mu7wuYe%n&tL zfGjDLMa5%lx}tTse#w%qZMbXkq~r%<8NgEgk(yfXgz;U~-7DFX3+bnQ@#AqBY=^OF zLbS7X)|dq=R(4l+ji2DHt%>*r30Rp-(iA+JEy;u?keU%+qc(@`QA$BS9Orf!N}fVd zAL_Iua?ljh5MAJ^c}*yLOiMzDF9{(p(30MIi+m$<`Ua+XOL>c2D0t=$9GupiRQ`FA z{BOl%>K)}7|3O^Dzk_}@em{Rc@>6mR)GzU+fJP3!_lP56}Ebt+|2<0=uUVxPy z3)N6@44izF$8~7*yh5H)fjBg#!VE4emB7mt}4}d2r)5g#{ZnU8q)|NhnorPaQnz>S+LontCn2s+La0 zh$jQ|3fkihRKrX7xJMtz8qh?orW`edrfqDgrtxfxOwvIr^UxInxzk2wXb_tKnHl(z^v|lS3R^;C5-qU z@k^Q^e256y0(|hy8uo+8d0&n6hRC-))pyDz3Z=lgVFfaOs{79aG081CD(x1Z!z{a6rfg{`f{nt;>Z~S~76JTgmet|iqonNy9qSRCrj5SG zE*k8okuHXMA1b|YZ0qc>KB6<%`;DPFQ>HnqYN&4EGLuv20mv@Zt>Scu^WHjG$A{{M zn0_!1B4y#@2tE)shK{KGiRKDSUb&Ams?2};;|q5pJXA^P3}#c(A}>+?UHMSdS`A5u zx!-7KdwaT0vc*icx+RrkWvS1Vqu=l9QLeTd`z1pXyttbcEn$YF%gs^<``o$khc~%U z9?(+A$FHjL21BG2Kpc=@FYF5APed6YZ)jh=UwQm-OL4H}p<%olMV739mlk7y|VeJq6h({N-N`F)AkKU*9A zZncuEumPCb0)>TTg$*!DALN=JPBdym6qG@%J)>S~Clne0KH`mlb{f%P!tPP}AjxA# z93;`Q1V$D?)kIu!LsQfhjw9EQ9F=y_B1`piC?(juo)nIC0- zDn9&Z<}dFxHQlKEWj$Lbgq~n;oLYO|eW)MPm|++FFVI|Qe8Ff4uCPwVdtGoTV=nn! z9Mg!5}_H(v@l9y2_n5lmXZ?=E&S(lJU6Imo&ZWZIn@mAKqMS=Au89C=0ru@=+;YS z)498q9ZI9JWB0j$+}686F?+mvy={HRr$^I7WzrL;!!dIDMD^t8ryc8UdcBwRSe?@Q zeCZwRQ~JDm!Eo-)4?J-5xd4^sKe}D^^(*(gg=;zY{*Cfo)5#lh`mXYC@C%ts-TPOr zx4Ya5jAH>O zc|Naas2cQjC5qX ztN*_ zp0iX-C5(oALou489mBshd<ac}LWi(CgsaDL(eO*GXYH2uLp{vr@SV&-2TX_wJ$c zu;DVWH;0OocbL`LWcxFSsKaT)I-4jmq{X-c2t|aJQkL}QXiTVMz=F`J*S(Tc{UO0! zi%CAn@koN|GR(ehQJ(p;)$Op{@wSOMEh&o|_Qx>8!DwP- z`FJ}oaQjgCpV#o@Nx!OH&py^S(Mo<6#&dsVsr*A}PIAih}WFPR&w zCRp$^BQjucQVv0ZvdTb~5Y%*mLkorYIJsDrg^}#t?y#MKoS(VfIorvSE~hJ+Nkv_H z1NyT0bd&Z4`Byk{k++vY9$qbIp;T4E&6tF`tlp*!>j)C5KxYI&p)K>A@*LYD^nxH$ z?vczftYFCQBHl2#E4np$pk;es%l>Foya6Zs>Eu9EYEz!e5Y{R^h4l>CRPYp*(qm5H z=D~}jc&KkX?%Ns_4@L11PWDH)q8*0URaN#UIU9C%a`k~+cScW=kFDx3OHQ<-c(1A| zhLPT?d~EY|Lya>!Q^W8jeqE%Xq@>T#)`R;Q;n0=BC`ofPQDBM+{rFksZ55a(iGAa) zU*eU+_dJAYMzc*kC0`CJJP^FOO9?7Xpo<{uSO7rZNrA__;wfikngXyqdcC>NU}wp6 zrPBc|2Xff6WKjHOlr*OB8%+b_HySNtDX$lf;WU+r55_k%G}>I?y}14c>;mc66GV=~ zB>p6tL*)LIuB-?uX}lCp$PRoG3NBNh#Q-2Qmv!*o*&zk*WvQ}QR7jc9RyUZv;eI1q z1myA@D>js9##>)#Y7`z3u*P$CtoC0yo8w|Q6F271w2yF)%8KD0_2xTV;x+lRX_)S7 zLESy7mmECL$tj(~EAaM1nhN5QP)RT+`Em;B3)pSP8(VtVYgUKyj>BSg0P|KE5JF0S zre930DlR@=+*Q0v=*uq{`_A#ko)-3hEcA%gLXTvULWp5*D*ZywDm-z#xOi1heo6D& zsfhffDTW$dtI)HAE!7yiAVDOsdl1 z^kJ2l>S9UXuCtekeIpWyAb)r;s3gmj-+uKnaX)3%EDkWLFD+A&-j7eww|&#xTfkW^^2cYa9_rm4Q zin3x4(yLf3=0BYT{IwK{%rJaGAcrfB}x_x6~ z?NgR#`|L{eSv%T*Hvmwtyp-4g+;<#Yu-bvpE@#a&$atCK%V}j(r9`g}0;71P)B2$A z^>07GDy&Am=Vx|<@=_YGAKMS!>s6Le->|zU{Oc`LG~#QV)<2JRJPc{DYNOS8_y_LC zl{@TCrW62$lakMd)^-st?P%lI2t z)Hp`>W4-6c4x>S@{PH(^%>AB~t9w+1&30NhSzJq;*3A}|Fx76iJC$XzW&Y(3cE8JR zb!47(SvFgpOI(&s!0&j{;v!y#gh|u^kVZJ9B^rTLKq!cWhf6jz7>B3{VIyUy6St8` zt}7v#!kob_%sj7rhkZ`%r086h2XZFre!9|+So+}e;-=^KDM@y(a^Sx%DRgARg`+6@ zF2u-VGLQ-ZWzz#K(++!YiRJ=~3|GVj`!3)x5$zUkh)3uGfML}Os*EV|5hF(UJ{A{; zN;^ys#azEYS4VvUT}QTW$g@cuN;(_~!om}CfZ=y>M0q>J?!6&0ot>C}-$GouFs%Hh zTmXOk#{D|~3BT@JuRegi$szQ;LUnyKd=u@?UxB<`_Ui-kIc(E;I{yK`ZY?|iTsd&P z-Ds3oUP!mxQvQ9=j3s~$dYyr~$?Q9b+{-|eMivJd_6zn%Diy*g%^dgph0WMnjlyQm zYvbd%&X(IOX1{WrZT72MGXRGk%-(<@szG$F^a0wjK{JzM4tXi@39NXYNK<*-69LR< zHA_JJax@?fIF6fq^$B30HaB2{+{uk~5)kSg_1^k+EuCO#z)8DSy4iVj*ToiH!~Bac z@4lm}>JH~j*Yjl;)*~sL(K7eK*OTEpx-0KkaM|Wbua?%#Xj@*tK(C(|>l{C&ZhWb0 zMo~pu{jBOKI=QucYE5gb!YQVnoLhYCh8f$YkM&BY2iPFc51wjZM;I&Xyq~eb&xB70 zb!DyRW$vzMsVFjQ1?9U8snP5KICcCp+z|F5YaW9djR7^>S60XQbPOU4qinn+8ToxO zNmqH=nTD{Wfv@awt2Of=f=NR|5D_7WgKt``%4VxKRM|4nPih20e86-edqM8Km6$g( zF)F>V8F&FIKjPI0*Fu5JJohBIjc8gc^_8vam+bbN) z^b&a)S?@-wcXYVkV5Z!+PTi!3PaWYx6x{?3=UUM zy8MhLFoOTujq!`V*3tMSxoiS#=D?7Pp0%n(Q89qC3)`8F5QUBrh37*5=v^&^@-+(> z0htu_oq#P)lq8+7G(S15;V0Pkj8^Mm@ObujJiy12bM!;%^Wpm2hU;Hg%d@u!H?ron zhpV7{3eP3fX1D@MX!O<)`U>hiqBVv!FrlFe?i{Tt*v_Hf&)NWd%*!uj=XwWu1V=%m zC=E2Y%d?O9C>(f5K@*3!6y2GKU?CtUfo5X3XhJ~Qjcg?3QbPGiIU@?a)bx-J>E7bj!{QCXu3mQVoR({~yqt$+}u$pqisO>>~0Lk}B@ByTU1@@rY z>u~r$XBHw_V;CUK2l9wfE-|f+u$d`;80<3WWT;92N!SjR2{H~6qAwgjz)%Q~BE5t{ z5sXHIfmk23I8e_Z=spyPNqq^MSm$uq;)aRIt1IR@rrxz|-rh(cR#D{NJiasR3>XYL zQ?c6>sGBu5Y=Z}>%ZU`B67$U8nWmTEokDOZfCCqnPOb^fozyaELUjAIxk6bm033#B zK)9kPDhNB1%fimKXjQzX&F%7()mOHa`eSoz%C&yCm5&2z3k}+W{3v)^aQ~O=ST2;{ zqh1e}hLNfmPB0wKxK4n)$lD{=B-9?QB4!5iAyd1#&(;uI5^TqO<*$<7Dnfn947Tvt zS#<%IyV#^N7y{04=lIS3qKa4`vUlFHyQVtkR$QH&Xo%Y!jyh4ywM6DmD$Evdk4Gmh zpTE=U_G_b+^J4zew#xc4kIUUw6R(Q4Im646I|U(HBwPXSFjgH1mI-sGZI4bs!_5s5 z3VlxJW8l7`)tX5d8S9bLfPC=@;-9uH}`2fVh;~5}+A$u3Um=pMOMiBA#5(f+jB~MSC zn)!Lx?D_0_9r0+`pq+|DG;S}OtTT^^ggZJy6=Tf00YNken;J_z?vjl`&(-CAEmN*Y zCIyenIJNpZr0o0Xx|%6Qw;Ryo*9)=h0Xy!_Sk9T#&@^8c(nn0QS=duDz9H!G1RKVe zc%JC!;BeL*S`*&RKFe1V{`u~DM2I|G-q7&DbY%s5VEO^&mde^;UG{pRiU8kB^nWzuB+3UUR4BQ7)%rO`tFm8O&c}Ju*E2W7p9T9;I7yo!5lX z(M02^IocHA0|sI3XLKxj9>WcSSUt~xtJ8+~5J5C2jfxN-A*?|}r&Io+23KzE5u-v> z$p^6hGe@ZSLfq%|`r@qnoO1>zZdIP&vYv%jtSCiNV75YUt{d0P9x(tvw|d2j+HuYB z@9tg+vR3!~V7#LD=YyVw>~Aj&yNQK8!ugN z9UCp~oxz?gj&*j#ii=|%ov~uJU}aN%okhQriOygttN7OrFRS%-*41?$TfI8-OZKsH zO_fIsv2DtwH7}(~ORJa!MK2%;=)9#Q0e- z_BW5)m|^T*v&rE5TV+7}mC2O(gmsyWM(^LM{K_LvffdF7!z*rZDzod#Dcu7mwar$` z*4sUU=djGz-40u=a6w4CiClcL>lMlWR2F#kgGfL)E^!$C{h|!XpPfWluYi?|c7qNc3!frpzTKbdDdEx|9tNx80$qoyY*K46?85f0sW& z!7aa2ZZbRGWXiX!R!fDr&>YFc1tlDTfX&`!!oS+D8#!ILKE()Z+kfC_7D`;pT=h~J zBhY)eOM-}%pyjLp^|L}=3dbtO3hGJ%;x`FW2IZS?*ETc@zhv(z#m_v*Cd`@z?SI%G zDz$1|ag-7Xu5}ewtF<)b4}(GsDA&ELygY7vMMZRq|I9nAAvVB{pUSXJ24sg9wMM(o zrY%~PNZvB0^154YNvyzv?6VoQqUfS5)sk!s6`k=rvd$y_Iq}U&@DFME5PHT1kJKP} zEE^;b^Tc&c&>7%g!ecN)VEqyZlqJhD3)xb|seD(iW8I2Rd5A4z ze^$P$IK@fI%gP_wWaYhW%I|O^7V&L8tQdZqg7Tj9rt(MS6=qfbuKb7c6ILP~P=2EP zosEO=Vggafln`{`kuTQ?GZ?HQo+QOOT z9l{$Ong7}-Y~1)3dncttGLMU)9@dYzj8x6t-@Ho*98n&*MR;;==JZ~1Z|3qI;fhoD zo;ZPVIc$SdeJ>VhHsNXxx8JS}#q7!uNUUwQid_t{L=-8{Fsd9E_Udc(|1mz31cb(?I^6JaRZ zOzye$B}*=ydBfR%5-yO9@4d2IXr z(+>fwmj~Z*h2;hVYeof&)GC0`+b19}sRuI!+(055HHC{*^C?{$8X}1Po$Hc}qp<{*!Dk8*^uyoeAHZJU8U%?shoMt&Xib zYl<(OwlbyH9~UkQMhyC~<8{XJKyk#ND=F6NBZJPshK^b8abrb?-d)}l>3Pm>xa~G= zd5ie;1B$=2vDk4S7Tj(w853+Y)IY!XJ2L~drKL7goinzKq9^I6`gfQW4iB zl2x2%Fos>-71gXdzIe8N`N3XMNYqZh`AK(2yynh_YGNH8OI>;CFJ22*)VG*q+r7%> z`^<8{Humn%zh7QzyVl^S-u|WnM2=W>gQWLXXqjH?v~2l46QA&xl}Y1RW&YR{?x?Qw zy0NsUFij`?*r{2|!NL28 zsjd^jAOi;(BavJnJkV5@q6Njrx_pnV*!;-$`QZm=?(7`rmYGiaFE&qk+!E>-H~;02 zBJE6QS+!@+L?QH>z_N2MTvjXVl;wk&Q>BefNa&bv=T|ex#<8>^A^`R?a_9izLs%{U zRyz#ZBUff=dwWf5MPreXAx*?dJ(G)?HgsNDz3k3))2?Or<+tCQr@YKpImX9s`YD@k ztXaBwY0)>8)e|o6og%Pt(%Ag!lmACj$e`|sn$To(P86!}giq}j+a3JN9kL(9`Y z{Ef9%UIYG44HLEL>^n)PM^>{TZ54Di;NP@qDndc2gsadLfSJs%0vZVKL>I%adq*nDoUyd%E&iq!a(OQ%d)xUk{) z(OY-yczEWP&E>UgH_q6-y0LLVWXd7s-ICJD&CSscan9_=7?KCFDf{<77Yc>TaU%cy zy(5Q9OUuirR3tkZR`1yN3+b{+bLLELcAB(Dw{0CG+Tm`l`qF8*ueg}y4qyR}!j*y$ z0Mxzk?aWg8)20S@k!zRW%qtMWj59&|43(l zRJX}G;SP2*@$+4~exA6>qSKlWR#hD|Yju{)(cDwjt*ux`iSPOxO`=Czlrud(#EbK_y0L1SShwjawriLP+%D;20XRBpcdlLLkoHhta{ z^Z{xF;tp98FCrCAgdqm6q(YM3jowOiLFwCZj(R6>PGxJRo2b$0UM!pZ&2S<>8&R`n zUrgV^M@nVkc9Q|AcjZ-*&4_qD$p(`w8qDrlhMGW8GnNH=QI#WB9u9gff}qu! zbQZCAL9^FW=p|LAIrKz`K!ZhG)m9I;zuz}q$8H2&*a%a$KunOLo)9!W|Th6I$ zoiwXyoGBg(hea#1+5+~Vw1K&p){Ik|XtHRPZl(uZm)?Z-H6oK4I$TihaQbaUL3@d@ zTvsiRyTI+9eBZ^Df>e81UA(Ofz7Xx*r4?S!lybd@%#`(wOq^QeLacmJF0J$!MEwC9 z1W4TksMIEu*=ouJ(PUsHE^jHTs*r3}vyWK=vfgKd1B`>24GzQqOWS*Z$5EYa!+WM| z@4c_KuXm)KB}*=Hmz!{J;EH=$7dkdzzy@rv=rM+bVv4~K1p*-uz`UjeUW!S8 z03o3UjIAAi_nDP!;gG<4{nzg@J9DO=Iprz$b3a-so`jY9I1>j66mTJ=@l)$fIt8a- zfa8&};F79ws#SG91uJvZ7d3mNzp6COmD?@8dbisIw|K)Gbrxs4M4>B)vAXKw0(-Mu zFK2j#tW2*P9+68698FNSO)Il33nn{_;Vc!KV{kIS-w>VoX*u#mvr4!&8GV8y#^Wl3 zoNyfBTrAIg#z^Iij%YMePQ$|jqGkzq@_DtxX0-zLY~)PsF1^gC@L183@s-?J4nk@) zXxVCm$~IA@FA9egYEEek1ls&&p4I4bq;|DcrEAt26jFy=nx$o>d1Vbz!&7DL0fk*} z_0V+QbIY5}SCuV&u6up1g?L;!`r&}3Di6xhT1ghHCIw(Tse_keCZxa!8>CMEC@gPmB+B{eEN#oA z1IAc_fg+2Kz<3QQEg&oBsg)HQoGB8eXNjW;IHZ6pDjz~C$4PQ#GK{|bx=oh`b&q|v zz1ET?{889VCXFt+_VV?SFlU^%X2a!uS)_n{=YRe%F?-2%{a;~HXGR@9(J^Ypfr8_`djf#7FG;gj{on>7Lh|!^&$cLg14JiQ18@Y;(tRcsrUG z3+;eso*#O7N`aS=bwnIyon$&@w6X#g2swm6!^;6&2#s}x&kI=yAv+`PiDpH|v|Rwd z7_Chj>zYZtg~AX`Lo5c=K`Me|#9587gAgM8 zsU=O3_6aq+x~*BG8%oC%=ahI#O20kOcJY!%vgm{TTjzJST_v1)a*2NQzy{&z26?Mw zYz=Djv%|PD17Ve!3((nH1d+{kg36>_HLwOjNdpL5V*u z=6|HfKUmY*pv6QRmWYl&qh+8mnc_e+Q7Mrs2td3+mLH7y0U=4O)brQ;?-hu4YAon2 zXoRmw@qPYZJ*BY<5Wu$0BdK|9;HDCKwmrUW+v5bdkX$l;yD&#*1abG51&xgbAU1Ux zb!6{$;b3k>%ws31MT>-#o$a9~Y|A_=ctwsQ&Yq%!2ZUWXT|}Yx++VnbQD=kChukQm zE0T><5$KBlSO>8v$U24N;?uB6nt}y+0ebqEicfM>D5AgY)k3dW-V1sV^3vJoNQr&a zBJpEfLz9H)gYk>jT>&+=S#6;qV-(Ai>2UrO#wOI-Lp9YQd+mhm0yu=YN#_hOpOLq$ z?L9sxnRNOI zjpoF3Dd1?Nq=(lT)F)18^w>*EGJDnP%wFMT?A2>doKTD3JjFkScnu?3s3c6sH9D+G z#SsvhI>TaCS~25#c}SF$Da8i`4r2pcKmRPRctm*N(ELB1MmX8lt1(|jrVAGx-$zr- zu6ULhZ_G0o{S&6_I(gly3$lG$*{67$@<;matPy_w=2j3Nu7BpmZ`Qp`-1}}Mwm)r@ zGTGU_k*}<{?&PjgqfZ+{pU&8%Gd}HH`ZdI%3S+VV-*Eir`nb8|5H<~F?$92LJtrl! zJ4>--?h<1JiKIVCi$pIhx$7(s2YNCi$vWLD?SXxuk)pxS>T{t0Bc@1f1{fD%mj=B; z;XosWnIF(9N?{074C0VzbMT{43=jkn=!aQWX%Cn@nvTK|UT%DjHzyls7Ntt(v{h?$ zkDA?f&?g&Ss5(v`==gmmFs|OmcH9TPRnvXPokB}G^#oBq!5}5`!PT!K7QtkCme*%z zAwPG2$`y@jw66f98#n)Tc`w2!NhEV(<}$+DjO3yxop;e=xQ%bQsx2+kN)znAayW6$Ci4qlA^oC@uqVxC@94?~JFB#t zbTC$N#^8$9-OHxg9m?S1`8#T)ET_vMMzxja^>TBWPVXttjkz_9)TmJM3<5VCH5#Md z8h^YiZgy#93B@mf%WUiBbrG+F z4;Z|sM-ba&`ZK+bYeOii|R4-PiVHNXH+FB6*2!InG{fP0yA<503J#ROk-<} z*re(pQVIiHP7%pk8i5N!42ldDFHjEc5*Nj#@f}fyYvLvaXu%m3ow*%!j)9RDtFd{^ zN;wiMdSnK#*86b&UzRKyQ&{-w!X-1HBlZfXcfBwCuU64Z$gcNcD~PmT{W~Eod@OwX z`qnE_2gv01hI~${)k&pSyit&!&+uBMx^ims%5e^pJlBQ?Gf%3w=Wx8!UPH!DER8Bk z%AIm|sIKnbiS8n`&%OTZ{y>XP>+}bPWx4ihTs+9vd|F;LeQr-EaCpYFsV>jMH9gn0 zXl?)4mHFA(eATx3bxo@uUA%&DsRI|cC$G_}(F&OA+WHk5ElBf>RSTFI)7Mwv?s$g! z9u4kp&*n9wdeSRgPGgCy>rnHsxKZk>D3m%u!f{r%SPlz`iRO!^Gz3wo@Q~UKASs|p znM26XjDgaCXie_?gU|l{;N{N*g3kzh(|>vxFm*2e@SoBTkC-2kxccf7e68T> z7tWjYCb2(3hP{!_5k7fy7TMoVKJvaHpnJl8NM(n0kkb%NNVF^!RizS`MlkbYEY>ox zo`BJov6a(xp04vSIK>Ni=>41)8V-i1I?O*>+L5Jnm0y=NY5M$G(?`|l4ai} zb05i_8yY@+(##2C{mY-fWO=68P?#bXkXFdHkh)j>+6ek`gLtm^RV`%%XTz7+D3Oz z8rxE?({WRsGFyGT%E#D7Ztkk}8qs~&YcG}AstY1av4oRYfPwxyTz3>nZWiOKLHqq)>>1s5FqT!cnZjT$io>v){#=BbB;qt1GGS*1GmWAB z&%t19AH`Ow2g1hGk^bj?K|B~zMNog{pv-Ih4;cdn{JA;*EpNa;bUhgw+xPG312QtX zbQ)xGi=-T*fK3#~AfXu(mi224wJiu1$y#_nBhY* z?N1NAx0fjPJxp@yww1qs5r~VnzUy3`LjI(8{dQJmaFo_hZya`>On5()3JPHE%*d3Y z{4VAjBJkF+(2p_2V93OblQHR1l^OFE#d9IPn|^6L{ve`*S1S+xZA@Ndyo$Rrm>bn( zdAC+Ca4mL~b*L&!bTzu>o}2&j&dH(vBX;YbrE=jLQ%~hP2g?8Wq*^x3-eYendnob0 ziHBgAc9G5fXZ*ve+;EJJ~ zrU!<`Y~@l<3P*n1t2Mp}7=}V)`*iTvs6`=Jt#jIt(Fbxm8m|M=kARQ|rmvt0%^yj> zxl-OAVHRI-ODd@`$*MX#s}Qb~Ox*V~NX`Y*J_Dt(3m;`Vur!6dL3z6sh6)Q<^GFj-iI~arAz&Pyw!emlrWp$-_ zp}bNZYnAnfmWI4V*A)qGL~@D{tON0#93{ueQ3{piG=7I=baJ47K*L2e0PUk^v(nN_Hq_^KsVXqabL;TRA*y^fdwtP8U||3%%{Y4=vh##I+~ z>Jq{W3Hi91!VX>HMvtX-Od@aJf_+YFO;;lC=6GfYfL`VD@$}&MZ5C_I_?o<%7u;d* z?jGlQl| zhSFC)I0?YGN!x?8q>fL7>&Q?L2@6Vzz_an0jg2!4pDI-6C@W%YGFFku?(d6L)P@Tm zj>Nq(RG+Q@?h7HSFnTd&t>j9uqcNq`_YX%#E1Fe(MvxfwdXto>Yv)%Qey0j zk+MS&10M;|?h;B^q@2af*$l)Kh9@n~*|<94%MXPs-}ob$_SRd%rzHLvdtW&H&9$p< zC6+(Y6s0Ni9qCCj|PMBy5(bAJooxH476d1n0HDI&v_AL9~=?{dP|bgwBak5^Q=lfjY7T})HDR;6N|8AhHZu`6`CCI7&a z)qZ;IOB1!)=&Y)X4JU9L+Ftk%#5q(#{Ir)LzB<#hLZw+Y8Jtv@0N+XrnmT|LI?BDrrNiJgMIV>QbpV^ul?g6 zS8sh^IPw10qTy4!!kD(tj1x5OH6R%&dL!^bvZ(b0`Z~3*m53liw3!k(9jMw@VogwD zn@H3IxCMnJpo$<*fgcZRqPqtR4puvWt?OVfJUdEYbg*)*dVQVn&pJKgw53IB*Az>Q z!m+aUc)XqbHr`%_wNov#Lt7uNf1VbG%bo9c9%e)~n_b2)z zS*F+3)#>z7X>qaiHCzmBsXI)sS=LqD66%%`SAMuG-X1S0<}JeWvhHw8aj;6~^6Y%! zg`HUrUF8#JMwUzm#~4G$Q(8|MTd)rG6coo((N;y9Ev+Y7O<~bMO{+(&Ct6{&qEI=J zXabW2{5n5fRj6f34-Jpl(5VMf5_?diiGLo~Xm~xJ^KuTa7leYkg8XDY>B{`R2?&O7 z*-hmKNxqNzU5YGE8n~L9mU#1WYqFgDmj~|oQtI%L(xD3xn0z=?h&`(>c`^FbpfQ6l zKqMbK14|KK5aJ(X0}tWj13;BpA_Lbv8qkkmk~6zk_O5hCTzgh@jalI`n_T3w-Snrs zX60=w$e43%>C9nQ-KeEYMhPF8T`u#QbzRGsjV72(-KO&Q*KIPp+@|$T_xjNYUb^pG z13Mj~ZTR31CYuv-sfG-`;y^)vdyJ51#tr zexk0e628upRT7j{d<|gw%BhSYB(<#F5K+H9`;|;8(G;YFn9Dfnt zV8AqTc76Dt(w~#z>&cBTz4THSV@dy=3>O}w1vfEf>}eIiD!HEfxIddYjD5?5t8h#! zbC`Jl1UAb4uG_or$P}Jg9n!z3T`P$1kwmYf6)whn3|Z6D{v^d;Ln4l5#faO%%*MIh zhqHFXb6xJ7xbUxm6=u`@8_gzLV&aBlrHvc!eqdvJ)8oeywHsO6&>Cc#Q{9LyHjpu? zDfBm8Ow>=YBdcae)7!IOHZcpZ8R~xwtK`Iw>sKksKCO_wgt=p@dd{M$C~Rst#Wl%mQ`*2euFzN+Y!(PRk?B*lRc{ckhUVvz~+7*JzTDEd29}5?fTlJ z@I%r0ZRA!qSXo*DLV{5ZZeduDRGF_f9rG!(*|h`+B*M&K3tLv7H@sqDqSl+J*N6Ar zcjWr>82G~Yu*{?OI>J`Jvp%~6Z9=K{wOcinwHC%1pSI~nGv{1t)$45RLakM!1VV^t zvJ7FXL1$%Sdgr6P#i0Oew(E_iyf$Z+o<)#{FX?u~VvI`n25*t;q!8d4Fr4Rl{muf{ zScM|rO-KisF~bsy+VTyRrVgDVKH<*ia#@8^VJerY`o}qQedPree7=eesUIj3j>1Ku zQ^6LR%V=cGN;A+e=?!Dm(qiE1>6J4&t`XzQKY;@+mrO%eB?*8S8EXjIi3lG@8-ag> zT1PUyOoY^do`PyPu*(Cd0QMT30+cUpM-e#YgN0dcPkh5s;qSsx;p5j+(dw=dU4TaTxMo8oD!HI zMyJ&oq@0=*TJ!VWW5ph9nGFq{NkVGd>IfSs$X@gE9m3y!yLiPPh`V?4 z-5ZvTNP3j=usLRTPad;3;u-1E*oO^Ywdo*6GqAV}$Pix4lHHOu7!P!Ca7F1Spvpla z0tMS91Kq8)q@HDMkg0(C^szET?+_Rva0t4-t(@ix!WmI&PEX)iFtD)+AN8mJybq8! zWo3#2)(BQMHd@cr5t}%0a0R`4ybbq_*Dq}wzh?3!A478$3;qO;D{EIera!rS}GJvcS^Py>|TYrTPiKZcyK#3eS&(>4A)q-m!fF zy(9j5n+{LZ;lb982@3=WJ6tv}rlQ`prcllYx1v z{)$s4m`Bp>+*@-Wp8e;!`NxC;rdBw4OL=VTt}6eyQD4=|m2%GQ=i2UTopJSeoiD5; z*Y}^)rVC^mklrKS2kLJD14XwQR2VO?hz~P+_&76f+O z1UD9EkQx{%tJepaAP{f>-C3BDO1@-_TUy4DVsc!kvFX&TP3J^69sAWIy7Fe=B)K z@;)T7(+G|90VGg=rX8Fy`$I0GF`k2|g{5HO{XcE9Khr*buKk?5pSCAFoY?+EyW{`I z>;GTd=ef^w?lzyK2BA|Dx+HxW`k%AxKmTbh^-B*tdmMuXJ0va8f4cJ76T~&zjFYqh z{vQ@nIPiWD?OakUh2v*V6~6wt)d$ZUFogH$XID>ATA~b}40HBDfA+Ng|HH9EE(TeI z0iH?E_3=IMBO?Agve@K>o2wGOR z(3=6+y(7HS|GWsTO9?3vT310r^Z@sVAJP*(%3$j<_LLOtT{`HWrHE%7gPw?~mg+r_ z9jRUd_&&s(0kH>Z)Jix2Tg7}aFfs)LG-*tD$kEtG!c;RF5T_uYsUwqWJ2uo{*}1+( zxMy5v$F>%6K`viKjE@EC8*`h#sBcWSKf3hpqhxsPq)5&BPP*JcW_ONj+15c9T&!l% z$QAqA=yGrR*yvSD_O*{*z2xS?XM|5z6x4cD-II4sIQHvR$3`xyY2Uj7%eH+h=C2;z zzHiB@(d{=cfo(5|n65sINi;ST@)?Ywbk<3jGOvm^W%`!S$Y(-G))Zp$XDlDT`<~t7 z*)OkoHr)Rr?N)3&{OmQUZ*IQ%8+DNhOg!rz&$iI-kjfA8{@#bcMJTGBUj z_iYgVXF>Nf=|__Z(9+4@JW5QLzIU0yyJT(2-G`oP>%96+chjaR4|iqVwRXh%aaGQN zZ-_4__CGJ|KY4hQRx!`dIsPwd0}_psc=!Sa*}EXAng@P(j2M2DLs!h8(kW9DTVg{b zCyPoM>Ipk0>>!&i?7eDHw0&IX{kN|^@9>iw7-jQtvX@-HC3VLw7r#_@xvH&rnM&YV z79vRhcR%)m3D@-hW5u#ta>|xgj><6zPe0Z@U3lQFW%IK-hAGY4AGmkxC3pNb5F;0? zt7s(3PQ0I}Yl)nWGWcJjkOR)3B`9(;K;?O=1Hi~aHCV*|4!%Qq!Ym2W2(tjx1p^O_ z%O(=pN~8r>y>Qi4FQj+un(uPW?`-h-Zs@RdnX^{4&S#H4v}yB04{hG`&~D*hM}!gT zr?;R)*DA-ba+@6&|HK#D*WtGz@tjzwsk8`KFrG#+`- z5LQc-7OHrJ={KbBC}Zi{(|$)$)6f=07#CmzZ!hm%wyamsuk5Or?kFp$S>v#m)^=IV zU2K2GGjgf|bYX8Tqj_c!X9oMHg(OF^ZJinzx&v$*9lLN@M`iJsNIF$**kVT zzjKEKY~!aVNWTE)Sp%zVKJ?@fltBt^XFv?`wV*&*UC@|W(7P7Utcr;!uwM}7prNrQ zS_7aG2}e!PdA&T%4k|+cTm&TvHk_cqHNG5Dy_Id&F~U^zeU(h72rwh_4qaP+UXhRG zo~eppC$ejr2eTG{K)#HpqEE z@fK$SNBuA-QrH+ZL!f0;6VxAV9ySVLAjgqrY5Ml9?1{;YU6Gb3>+eS9g^QHrKFh_1O$xC6bxt*_Sv@CAs7DRfH_Dn#k5n z1@u25ZbBZ&f{t=rd_M^!E6RV3_YxHlOox8-$OQcqXO@^B0ind_8d&nj0plnk%8*0o zbA*&cC~-ziWY#k}QCj$vDdK#V?85RRvI_`p!;Xj}7<5E-7=Yp?*PdCVz&Vc- zBEtFNV#ruyk>moGM6oafY*=FK5rueA$6$E^r8Ev_ury07HK8;l+7k!M0VKfTb!14a z1UJw7JK>_6a$HtEYx|PF90WGN-4pzW@W&f>7X=+M@479-_Nra$2riCo5+1z&PrWu@ zwom1`=-2y6{ydAxll#&+ejw74Wm*wX0Ymg2Yg0Ya3B0 z3wwPz@^EvlI(y1F&LBceBMs4aEuh% z;i*4`b&}7$ntt3ToaYt3@RCBN)l2q!iNTA$XTbj}6%uZxM2i`gX0)#XW`7)Fd z(F7vK2uy{5NYnCC0Q}GH$gCqE92{t+NJ(NsY%e{|ge`00+^x(m(Z+~SCYJ7|b0Byx z=twZQh1fi+NmeZGV@z>OIkYt(hcp_nDAmydiH+U?#veV=C>5X)A{vF2fa)r&NkQ3(-heM@gEEYzonr^c(YK_IBQTJe5D^-}y z3aOTC5#G00lrlYIG%|Xba=OW+l4A|qa@9dd-XTCLuy zCu%j(TXnB%jZPzxO4Wc6z-|u6`rNxN?Ek06=pNtm4DlM`l^5Q1$5)I>snsge|N2U) zDLclr>*WY%)l1V)lD`wBOr?-%$l}x{g|1v9?Fz%iV9^;;I{r3#nAUQ)exEvgl${dFuG0rse z4kn2ce!=PJJ1fz5F2R_DQ4^DxIBX7xGd7vQPxC1g3bv*$TsYXo=848Dv!H!b{R0k+ zOmGOb^8(^VZLl=vpqfEDhItpSjRhnNEuuhe804@&635@D88L=96vkhecM-U11vsLN zKjMa^>m&eO0C%NedfQIcDAmFr)MOToHA_pt<5gN+b*&dc+(gK7AjFs;wbyawo z)%KMgMOu#AE}Gcr-6?5w%-t+p>QR$Q^+_W_;bNrsq=Xsc^va5@P_94{AM@L*g_ANh z;grtUynKa@Va6}LbW_*fl9~K+`NeyXdnQt`imwg+Pg;F)6_T!}(@*rxML`pvv&Wj+TU*o7~HYmz= zLDV=~8vogvUeI#K{*;Ub@iXDs)c!kKgx9)f@eBig0U~9tUVb&hBlenM_*vb*pxW5f zqVyv2k=d!2+t~o3J(=qfrr2(FT4)|&K1;#))9)*MAj5N-$s<4$p6zd$dKml5>Vbv= z1mPK|rrux#`v&PYo2d+_D5wp%5eh+E2);uT`?Hk*Dmcf8dAyRxOLIt4!7l0`!REea znuJf==W%L;pAb%}TG%1H*Zkzuzn~gETe$F6nMuw`IXGZ%UAT}Kh;z}R{W25B;yUX6 zsFN>+k7zp(u|(o{lX?FNDuMozUMkiA6ifKGp`^g|NSPghL!c82rS<&zcg`ZM(=O}C zX&TjDU(_XBJ(cjQ*Od7x>U_WK1@G3`Qe9)#xJ--EuM;~Eg8r__KHX2fQx4+Xf6+T( z2#UiS#8LGM;dVd!3S6pR(npOSqkES^oc;yRO^`yWkDijk@k@IlwwxL72kkOJFoh+M zhr0{U4A2dLH=coC%g=w8ASGD`Op#&@Fq&c*G=Zic(>gOCMl-1taDwzdTk~JXz!Z`P zF*_E?uX*npxn)*rlr?Zf%=N}0{lJ+&1ctHSLr$Jq1FAM0?{lTKg_1t$Uv zBW3hkVWJzD?=tPL64_~||H7|DLBCXPLZ(Zq2vHpf-fn=p^iVp{3vE`t$hs0m5v7o& zB{%^(_s@P=0wIUyj=T%$S&)q7E2qvD{9vt#Y?xrD`Pr#Z%t9=POLj4>7Og_~o+yw^^Ow9b@)&2% zCAb1oXQun;`x9k1QKIet+xJhvb};1^zF8fO9mQB{qrP*5BO-jo4@vvOI%1#Lya7{&d48vLyz?3}H+{eE)=e&kL-c~re%iXYG_KKc~F5+@dTDxx4 zfmJ(iJ9_BBr>bO*rs@Wxuc{=T{GZ$Em}j4}T`GKit24jI5MO@P2jI=T;FY(9J;E2y z^&I%ea1uM*_pf7p`!^F#9nG3IW@7iODUZK7;L{g!&L@zi zI6P=@hVEwI!;n$XpEH^GVA04J!mWR1rU(xT5C86WY$?{h5gzO$dQ4tlUO`5t@8n+k zo$xTxr0--)1N|>q@+|!?1p;g-R!{&-&IM%N`=Kpc`rjeD4!wWzBab{X?R_#2^pjs~ zAx!8H*(KbVn|?3bmVQs8VFI>n2KkAY03`YMC^;O(gVPt`*Fc7ym}!$#6~k1Q%Rttl z*blLyZ6fX-ehw+k&R9aFO?sHP&&!K2(FnC(X1)n_WwL6?mt6Mw-JFg+)rwHwdp^Hl zs``!#XLODr(TDCL_S?zHKmBUMW%Km)>ZZ;_XJLt7cAX>?j-E zUYR?pp|P!NN&UKenErx4th?h=qWs&P7d&1b&0TR@)lElk6+XXRY8Sp-w{w=cP212^ z9&gTR?&@mJxoY*=o#!o1HkMWn%M|ROuPTnk1O9i)y-A~L5-2|>Xdsk@S1GY20KzCs zM5V|hi)A1xGiH^Gxn+5fz#z@MnR(&gq5n*uu>IiEUH5c7ed?>H-R`HmnMSf9Q}6=G zq>5!{Ki%E^G*Ih5ffUwahnt>CuW(Ss6~VgVm|vPs&W=udbu%CQjA{6 ziC_{jfE}X|4TFc?Ps2B;>6ZrM>A+I~7!h5e3>AoY7lYjkIA}ek)?%;RW*oqlo8*6f z7Qy1NWQCt^8(uQM6OinvTjv6uV0M0vRx>|3(rhAt=-%4vkFuO~l-oToughfe1t8UHkOQTpF4kRD`LB6e|+5u(v^{W#I~k}o*RR`YMNxRWGzrXH)680 zL_$$O(C`mR9q5H*5q-i2YcZ@=G>TCM3kHxtwsIED45bvhV?z@}Y=#UVAKEPGUMx#+ z0bB+H<-lRl@(`GGv0KDm;)Db}MLdf(1%R5*1j9h#rol01f@LTSo?UoUxMg9LC$HhU zcMJ{bzl^oIDre5D^qRVYyu50maLdt(2E#koHRP@PRIB~O*L1kDyQpkxSy6Z8;U?cF zTJ5L)#>3T+$iKURM5jC!ODfChttojbXmuSf?XzWrL{5`p*N{$coiWI znoB+ueveq0-+y??B_EO+#IDqQ_|Q*ukhzW0SMCiImsI{LZ-SaJxNFM%hsaHb{1p}M z*-OtCJ_+3W3W)916Y_plS;9;ioiib4^wiGVnv7p5m0uZ~ZtI*X7ESB8t=agcQu(E^ z`L+%w(#WVLre)fq znR7$!ot>e`T_Yrdo%hfB1z%-qT$6QEyc|2p%~>48|#zg`tjqsOT!yIp5+rt=IdBPbKK5`=jJyB z^+%eLTHa^Rlj|-RWkDrEHt255c-whUEDS7^_m$^s+>R19y? z`@uwlI)&{73vrf%Mpr_D<*3|fDWyLOL+SvlRUAD1mB`<6=uLiGtMn> z{$s}8dCR?fs%xq@Y*x2od`NH+X)?Lu>NK^gr8Bbl=(>0Sk@*c;% z$1&4d=hbzWc;ukYlUgD@(!WX%>MFJ4C)TFF99da4dQ^3lb@u!@?9|$>Yc3%#y`Wa+ zW^aDTCXYmY$S&y3A6qFLbyO~Dzq5wR9)G@@vmY39#o@yKr}8H==S>gzr=<5ze&F}f zSWVBQYBB?C9#3_Y2eUUk#R=DL?XyKz=DJY_3EOv;R3MzL6eK4un;VCI7+OfxSnX`R^TYKhc{kv_@ax7yJ|`TKC_x6 zj4anVF&a`>3>K9h)-b-h%{(?C2Q)nS&-jWlNu6AqlxN@96>MHLuEFe6Rhu~^t1Mch z;W@dnEgNPhkU_p}@|&yl);jeSB)6t9VJWW~*)nT%6+gB~Tc##FPnQ32aqe=RIm_aM zk>;jh=5Rp{XP2I5w3>Jru}D7n2c6~NSk%K?ruP)(t~$t> zPm4U^e#ppeB8M#PqjcC4N2|fra^|Ot2@d8!yhP&y3fQPD5u&Ujlv$3VS8P-w4S{=J zEMb~UvU3|7bF*1TY0Qb>% zWIM|$IRmr#?H7?vp15z{{%N}Y!q+E0e13Sx*Tnnvjve2i{ZPBWY4i z_f3B#ykYcc6(*|?3$tuc3O<7u-#s~(jAmyDfwOmiQ#fo9@BaJWX|tndw$E}>%jfn# zdl|F2|E~kjkeL_D#4&-&ANX<^UAB};h69}+?Ew^0s1(s^4nq%wN%7-Sc41nWF^Gts zVNl^pK$!U9zI%li&IgMBGNn#0YkO_={3kCTGv@Lq=g&OUav4oWEdUi5i+Z;%BBpEi zA@VSNauB?CT!iAWZsB>#&2`Oor9*zXf>F+xkJFFhDy@x|BLOzW64K1vTjnfT_wo&y zENw~f7xci0@}qatLFSW4vb2m|l*2(D@}p?7twMiBvKB?~xd+KL=Qs{|3B>N92MLe< zn{TiVJ1}O0U1!^&eVy0B{Pg*)$B zvno3r67>k$Uns6^Fz*OO5H|rCC80KIiY^@LaUv))!AeSh*>m@uvrV%W(KMB$N9bkx zD5!6M*R8j|_xN$CB%O8qY#|HO>EHoO^7!%oUTP*CEFluGIbfTSq+m2orMMsM5rADi zOBpwCm^cPz#)2^Fx5P@bhoBBA&mKl{%%fpCuV$efV?r(EUkyv*5(%b$Hp>mUmWfXNs11uDEuozE5 zR|)R=%UMtGbm+g-bC-kp+AUH8=NYe{FOd@o&!* zdZ-eIIguCrrV_I<@2wrT2i16TGjJlO|I$$s0Hk zS9X1&pi6~V@`QNp-ho>gjl%}-k0;9DRK>dGfXm01hn0@?Gv}Cq2!Qr71d>OhHa?t? z$^c7171WpRQ!j3h z32zLGMu(A{7+M0T{;BGNu_?m`Rgc+}W(}bhhTD+4?g$+nGG90|Q3CmJ&Ndy<=;-yI z_J`>%KMo51+>t-O-ybjIIg#U`j)R@S%OQZ_M>nV2nOU8}_4{Zu!D7fNll;lz^waJL z!$e%n>7U&FAI>7Fv>F6B~0i|3=)Q5JAE;XFJO2j3kToIaVB2zXbyQnZE z(dgOLT@lxoEv`uV|8NSqT%(-NkU2_?p{!#>XH_^{)j0wVg^6eHIu4h_h3V%OeI#Pr zr7Ug~y#w@wsI8ru005!^HVDDenc9payEPyOfNEis&uDY}nKb~coxp5i;Qm2oXFh?d zhEbYsVkG~SUDp2=r8+_aE|C2Wu5o>7>`(X6nE;661-5jO>Fb9lO)N+P6fUum#PQ>_ z&cvlS#-p8zIw0g+*uOEpa8ZH@Dq@615NL3*5Wmv@4Tps#yL)dJst*ghA0`Vo6yDyu z8<^*X?O|c*XXKj5LasWp0LW(?Q@BAqX-BeEcff)W*J&hkBZdB{HiUf^%J4OnQziArTgI@?1AXGOO^WKk$=5m16h z$|*KrKs&Y=66IEQ!R7}y;~)8MQ}^V}n49`Rv!v6aIQ=Sum@x zbQx)ZrIQH1US3j|6^C5*)H#l)X!!;?=F{vJM!j8VCeV@68m(2)vKr%Z~PMQw{(FsuMxco}qr z6XO~q*v4c;U0kpq(+|PoDc%-gxSk_bi#8@K;ac=yl3AHC zbIpcH%!HsTcbZNaG^T&|eAKM$(8)p1YAuYBIR_i1CWGx=il3r+YN#J4C4RfJ8R3GE zTPyG#@%2P0j}8n}+8g?x%CHF5rMwOZ3>Zr3;Ew}dNIm&9DO@_mOW-db@*hGToZM3Q zzg0ZqK~hUc{{ZAHK|>N!ry&5c67f8&4fx~5-~J@q*Po=L1(!V4=l4apw@-;!RW6yr zsW}pj>v z0P9qg`B6D%j_ummwQ)Yvv3cv}5v*~Ka^&Y9e?C&VM{-)FzVwqD#vj}~yNWUFRst|Z zQe@3`*5l$4TiD%~%0*$``2fDD3jo`oj339Rs}& zqnj86MGcdHK2dc}96-?60JOsp1xRZYN+7H>us~3+yNF1KQ2K?@I#CGZIU+olVECxx zl*P^}g2s@7k8HbW-fx!9joVcOF~y^9EExUXvMai~XB(NZL?yfhEdD2azK59**j%(| z8M|)W8ll#$I&9A(4;Rg& zWJgx1I#GI+zzPovY&Z;g1cdlyTv$vCWGV%9p(#j{a^MSKz^9@jG#Qz-6rmLq_(DY+ z*oVSU;n>mytVpHjwqn_%mut(AAd6L>+*+kd3g0rwj;XuN;9NEQlHU+MeAoQDm>Y(T zUcV1S%|(%#=!6!lt$oSXo0%(%^NI_=u}k_=4c6~|9ej<~-2{8`39&iJu|#r`oeGfD zC)NOmpcyq)XrJ7&+9NQ`mh>iOtKPM0`rP5Rkj0zjS6v+-Yi2KOb_6U|KXJ(SmZuN( zSlijBPl*@f#kOfbQ#UkPA{WsHNoe|$FcQoIK6{;HpX4#gA0!`1en8$k2kI25u*f82 zExZEX8WogD&H?2x!Wh9*kBoapaD*8d)D>*%G+HVc0BSD?XGS#>56Yrgi`z;QtOdN1 z)x=U7Ehz<<2=-^hVU)&8L!#+Ntnd(Gs5q)1id*FaYXMsziXoN`vKW4gOX5^-w-(zh zR*TF{VDJt~k*pVxGflx7H{UzVDI>k00ROHuummRZcA9Ua;~ zeg1M=R4RJC;z3-7z5-k^i2)08g6@mbJC&Zj3$9|N*TqgeBz+a}y64{XM<)#I9DE>I zAc#gM`sHX|Zd{A9yTdXD6I+zl6L7tQvUWzm=4PaBocH9VW5!&1Wd4n*ZPRDmzG>=| z&6}r8owjwx^lhmd=O3Z_o}70hGe>5Su^x_>N_iw&;^ho75rGs%`~z?(OHNs>CZpAA zG?6=N_!e@B74nVAc+wWK*+Q34%p?qIqRkzkN_rNGP9A{|J4>ha*>zs8-|O*v@A7yI zPMT=Mt$VOgYjfDlY7oYF3pIA1!>n=mJ^rn7jmA_|wzX%kH&n%=z z%%6uN`rl$%q#@FnbsCLOiOf|<{fb)9@Ocrt!)UTk%<^Sc93cnY_Fyl43f!LFoq}$$ zjxBCH_Sx-b{Uswpp%L_dbCcd2tBaZK0V%^Nbt=2oZuZkvgVtt1)Q8Mk>&nh{)t2mx z`Ld!WtIn^^isJl^Am`?AqTa3{_K00=*IzMssda<9uV`M^YR<07Hlscmu}0`ah|feh zzVY?218?%t(4j!&i^zC6Oo$TH+0zg%(?`aEVO^jzBK!e()Wr$i7y zsX{nL7IJJ2jE`r!6y`EfL>lZ>qAwYpj`of??RBC<2AoK0hKE2nC@+M?O!TG%29Nl_ ze^M$UujuXK|K>F$l_3wJ&T8Eu>6b~9x&DW-vq#OC(Vk!9ZD=6L?1abSvUu!)?8>~F zP(fI3a$AdRIeD$6Nn#CW7uVMpA6va*#p=h%C8HN~)K#3q|Y|^eR zR~AK>-_x5el#>a^j|=xGD!MD$D}{%y)Q>DI6CS#V37t|`j2v0PeTyX($KekcnBy4a zXx2gxbpvG;fi^k{zOR=hf58aOgZMK99L!80X-dI$MF(SyYhhd5Rz`>4l5pmSWPbQk z#4ZQpvS8E_j0R<(@--Ps0aG$-Iav2mhR`6tErHW4fGLXuWDxnO2S+DNj5cwshxnhs z0PK%@nexFxL(qb|M>8WdoqNSC*%=*I+<|e@Z$ay#|7Btf5-y0AMkfl9!IQ31!a-2} z0FZ#O7{^k?wCJJ}%iwij#X_Vn6!#52CiD=JX}~xQqCVOqrX%XZx0ZVeFim3P#y+Ik zIJ*yF zd2w=HzqN6C<@D{2OB^jLdoEZwzLU8@WpLZ0_H4zb(PNPXgd5%U%K5^(Z@qQHb=UE) zW!lyfN5b*8X_=YvAg!IvmdqZna8x+{8hGT8_ zR)wlYT{m^zcIU;85nC>*m*wbuptyB~JX6m*f7Wt#!s7JBqec}c%12)CR*ipH%u`Fg z_S8fc7Ybj!hCekmL!_C)(|& zY%zr*;3?1dTV@fR7nUb%`@L~RP-j)jW&$wgNw36RD{xolfbbR3rB_ahCl0_=c zav)S9Zttv)n}qpNrRf4WY*^?0h450PKeo87y2Wl*EA(K&Qz-ZC)+=~s`F3upT%#mQ zD+W%{to-*=h#u*r?j>54(1Y}eCSnR&aXTA%|3_0XwXqD0=St`-CBPd^#5lefabH(R z_Gac`OsG`)<%4uFFz*gXoRA!W1u)5q~4m((-dPA8D<{IR3#ij*}=vm()!ss_8(ruR9F%d*4&kGb~_jH*ie$LHKKHPc(_WG2bX zg!DF<1V}Oo5K1V45Qx;!JA__D7&;0lMG!$SE24;s;@U-w?%I`AS6p>1aaUd4RoB;D zT}U#Q@8`LbgrK29ZNvq?a;IcW*mv@~9S511Xthz~oXu+4 zFp$p6jrK_U*x$o~PTU5sSQT_gXMIY>}9Qzx0p<#K&)cJ){SPDfezTqimnj+mM zoIrj5vx-x_$>tH3^EgE9TtV_2qTGct357-r#1Pucf4|Q>5Y{|Ec>yy-9(-saeD)}0 z8Bs~-6G@Mg%&;Iprx4jMu;>ZX)N?!1%3AVNTIn}h6~74f%t=)pEme~m=`I$iHV#i` zq4eR#Y8Eh9nzSf8E zj^v9#kVD9>L69yyLSoSxFyj&NKv#yS+-1|_e$EF)ST}g->eAPxubJu9l)71?N=z$E zn+EMX{n(BDcWRU?mD-M;?kDg9|A~(ZJGY=dgGd_TKV* zUPiS_qv11u$&00@AEE)04PyFH2U23766Kg{;f_L%E%x4as~g|yh#;nrk2f{(%4+j6%Dy|XN}UTnw*;`7TrGS zSEo1sY0KE{J}9a*;tFI4;8uxo?!?{=Re3;q|Dekg{?pTlY3T(#LG8@;Epi?|IX@p% zFekW+^VgKkziUdLo=e?B&MKi5{E%@x+ejxll`_ zMX5L={cGaKvvJ{DTKQVQ9VuQ7$k)opW`8oNEhJyt5-pEX0!=l^7|k+;RCMXup#~(+ ze}@8odR%~fk&*mPIih+_w)F6pDXZ5#GJ#vyr{hWgwmK$A-~Zv-vrBuc`j?a&dl}*? z;Y6=gOsuYGi0rs_{1fZLqq%;??LQ2i?-+Pq`sc(uURxm+_*1-96Z@o5ASBU-XuD*0 zqv^>A)#y4jq`|Erc$GR5B3Y^1$XP1oGqi2BlMiMTI~I}lG&5gyha?&Beq;pe{EJF7 z^3;KzciE=+(;b!Kq9VK2m*~n&jZJqrlG18(vTM^^cBel!HPe;os~s0TnIi9GcV3g7 zQ=69LaHP{UKfOghiw6ScgYqIo|6oLER}3l%)L0W!60N>*+|TZW$*7Z<5S!pIn5=Q} ziAiyBQ0O>tAW=RlZ?RBI^lV~$^z4r=jE_rjw7}fcB89qsO}uGXT}>bTzwzKT&}8-|qV_y-mZug_yK4wtYYKG8WOznTvzQ06iXEq-ZAZAM>rvNOBSoNAMK z;hpe4&d?=fi_`LG7!Tv|MsD$s5!}%%dUe-;eI-tCjt$oDv($L1l=b*`f z!p#u-YLC+XVAoV3&lE1;ME`^*77zY4H7#8uaQSJ)P&-&B`n8?`g|%xr)0F8+=>-X_ zuFsTeXQ_X{h;ZGEN9Xdw#8V5NoM_Ya%~*2H(t~%-Zd#V3PIdH33ziJcn0Ih?PcJX_ z>HSq&y*H85>$tRBqcLq@u{O!Jv{q$mY)DcY6MMyry{mWU?w`4GP=3?n)7kt-7cWeR zT~Isd)bcqe=B>0(?mfP=zdvCI_gPPmFuC8$HeSMxO@>uKaYg3cG*aw)DD@3&xaG_O zSO>5;Ih+Z-1ki3w2zUCiMpwM-6)UY;kZ&H+3MA0?N@wCOolH=NOn$fU&=qfF zQm1=tmnZC=D+(jie{%7_G(gdpv9NX%Di?+a7(3R9J?r<+1$76lu_$2+EXp3CZ1tx)>pbH-6&lgQC%tBZt*^OlOamX;Y zWXAQaWCe$f`PcOy$y*AKjp@eEc!Gti-R;R|qzh;E{Jp;7W)|K&YyWSV`b@0U;Vd%f zpwXVZaq}4_KNnA$a(~5CDKq}g4-mMz1ew1cgH;}GnMJ-tsR?eY@*FASACOl^GAv3p z)OTPGhS|T%o@^zU9|GcnCIeqgcEQIkh>iz7kCYgr%N2~)sfa>?<&(n2oK{DteOQQE zgp&q|sm_kM&Qx)b=yM4^m+vo$wn*5Pm}uj|Hg+EwgChzo!f~@Sr;&MX3`;nznd4-- z9`;`@hJ~F;Nlq#3%E{ptrY9z*Cq~9cj)wy^HGyz+$&GJX#9kP_qHo_7!=>Ic<#}N{ z=9CMV7jg(&fMRse73eEM8ut^!Puqk7C5I7!c+09$2U5b6Bl{G-KMu&==nDGixVjJ7 zqAcWfu5e1f56GVLkBvRH8B7Eo4-3X zn=LI!+hpGKf%Ln(e~{))dz#K}#y-nG@jcr=?Mzw$_vh-u!s@~?V@4OGrWM?D;sNRH z(_P!M9{3-&Iklj^{%+}aA8umW_X^VFJ(mCBCh3Rw3Mj5Z2dAy?F&EOeO+f!&E@O)G zP76RCQ{-6b98?WXVFgZDR8y3^oSd4BS2V9+H)_&C+AxYnLDP_;!X*R?a08@WnT5vO zW5;3O%OLcOW+gOA5GDk9;-QDCE(Z#eY8Gk>hqD}E!MK_yCvlF(mEXtlPb^t}+*c~? zbn)Jln2c2E_1n#EW8c*^c~;wqS({S~PPg7yT9srgJQ~;M;*mceJ_tFWM0$CtHzp>t z|Ja66NhVdS$tWcDFLQ^k@$$m;8nuTTSv=|L(?xDNE{gY}D{g z&mnd^r&qu75#E8LZZ8|*GfXu7O||NbI8LSFw@j6;fiY?F z2dN$3r`@$P-Vi(7T{|^YEFI}pvFFZ{_b@IqZ>S|dpc7pwMTu4*wpguciSdruob3aW zm%3sA*mRCl83KcE8=2w>#mqLxqCYtpEHH$f} zmJ15bbo7xgUV83trX)|T#|MT!`n#9P)G-#WqCzn0)qP)l^NknF)CPm- zaaRI~K-2dH{?#`0aQX+n0EDa&d_fZM%4Cm6$h#2WAuM{pnsx5bNQZxz*@h;g;ocb< zf?PFVkvezyRynt1bCdL~ya9pzjcuQ9Vc{*GZjbWB8&(yNE(EHunOyNqplaRr#`ZTFw{LG0@*1~uk1nC7&_ZepR2CIg z2HG5s&*|9b-Rl*H0+p2kX{O!&a7HC}dl7mPn1}vkIOnbpgHPq) z_et;X`;rBvGtwaG4E!@^At~n zEV=|`@*uL>(@EDb5rVqO%i--v*E5Nz$i2JTf^$q9v)s8}k)8Jas(RwQBa zL)qqWdhtwn3HVj1K^~gJpw+{Q#X?9pP6zLS;|aVUR1PSwaFf#RShtxrSr8iY{ z+BKZlZx&UBfS=0c&}(>~U&94>YpRv0Dvbj7G8fw$*(j;_MMmhfbW?expq7IJfog@zuC+)hx%PnE!D8%j+SHi zCzR!FO#dCn-@9R$$ZfDE3({>GjSZ^@)M{sn#b&d4V%0Hhgph30XxMZy*@kPNXAxMM zkN&PLUPCJY^rqB#3u?!J}DhkzR1Qur{-A8OD~z)M=Qnt zBjzCG)$1W?cOom6?h%Z*`m|DHtEyP#T^~MuTFnPwo;T@FGrdlF`3UR%)kkXS!jPA_ znAT4+fp_{WD>UwsKK(F@ZExq$5O%Z|`~(FlAIYVD_*nY9<9g{cmhk64SF<_Dh+#wv z+%^i5DD_nt|DQ1L6tYpZTMLPA-95e?g^z9G0JiYhrjCDZdQ5oZ!BCErm=mhZ<{LIW z!)CTsZ9aQ;bK1k~9>Oq}Y&rd+^kx(2&2_L)P-gF5=;4BbM<=1+NaQ!C9SE7sqVPs{ zL_&%yR=~g6!6P}Pl(N$HI%|Am6q`PApmc5I`9%}Uo48`>*iz)on3iskK9E8yXYs## z_SCk+3)qm??6sBR+|^Q&^z1cb-(XW-zoBy6;>feowS&g7ja={czHB;YTQOnQDybZa z?`;K@qn)p_nuP~9KhQ}Vkmu`PvhOcZa&prI(?LH_aceO=)r$+=3{xGkEAnxk1YKuw z5aG#mNX`!BEOx499Nx6Xdf-6o z^Y^Zuv--htuiSUvcfsG^eDI?Oo0qJ8bNQRc?|Vg9)vhibfAh`bON9&T=gw`vtF)4j z4BxeDcn6=El{$ZZ3co|R<#1I;U17n@d0?W6k3NpMdA!U;Qv?=djbG9`|Kj;5j|%$I z6KO@JEig2G;Id7$x#WfPsmnHlwy}_K{A%0c_OI@0PrK`@b#t`8T0C=jHp_T=f5$$< zw)>8AAKG0mdnA<}03atUBVW^!-A_xYPTrm?Zy&(&uDiba>aJzaBYbZ0ulhaq*L@xP zt4ch71kLrM4a#L%LI7>2JZ*${lLQ13%GH*QZ0`Yh?Un(xdjS0ThQWWg9x*8sL7iv8 zk983um{!7@bv>-C*8^vCk77TtFpewEV?>bZhg^^~P?_2(dd>OcAD~5@J${susOJx^ z0=V<%e{{ak9{iaroB=wEK>wfo5CbDqf0{5D!p)1Zfhi-k+n)|5qiALTI2{Ial%%{? zDmpGi)Z%SzFLC?1V{I>uL^`ABzY60VV={g&c|F@WVvcdnD*RS=t~)B1FxygQU&?IQ zxV+u|xOXYi3|@Ks+u=*Qp6m5Swr_a+@eLavdrW%I-?x8Xf76tBKDpoIq+m&Euy#bS zSGqlAuo2vNn#N^_cf=$G10JZQc1x$&s7n55$5iQkG5zJ2rFWJty}8H#n^JN;hLoHX z`sqD6DJeOg+(|hpIrN*Di;(s=(|+_%x^KkND-SIlk#@y1@%+@sHbzU!u1o8s0V1|N zzpx@h>&QyZ$yG5O@(u&TtT!|AI$p^k&lb)1Jo?^JjK5uwbxiORzfy(;hx?P@JUQB^ zSY|XP-`;xkXe%!rZN2^WR@PdPec|2gii&LZKvszRE|kR{$gW`9>D*Deuxas8p``6h zRz*dY*q@fa`W2RVBk`f>pkMD{Jr2|hxoTyBC`To83q)1Oqd_b{yfC)Fh_5RWNLu;1Ip0#Av!Ma1gdE@r!@79a%M76=*cZT%+ z`YoSqV+rS0ojT%QLgJtGOF{1dM|zxT+S z!3nE2Z&@`V_}HySo~$VolB{+^Y@lKOvUj$=&P-!>+g+-XuAkmG;=TH&U%;jH|SFgI`+P`8dF_u3_ zmvq3r+u`L-zZO-SnBt5&0YNaQ<9+;H)y0*Tc&Uy*Fwymos|=p&j!Syv;3=-ezC2iIM8-Uz6ITRz89wPj@`WoqSFDhFiqO zNv%>FyM~2fsp|+?dRsa|Ca4F(7LO42@QTPR?$(YDUI+tnGTiYO?pAq&g=b0%ORl*? zVY3MebFPI0egUGPVf*iMJ}6_?z`$wF4R@e)UBp_M*)Lt zRET+5@AxupZ;)ZJXV-q ztVTvqFvKiI`9`p?vLQeN6&?@an2e3(YA871UDHi(_#kw^keTR5XFzTV>ws<~y6aFC zs$4u5YHXy22sbhX$7#n@Pf;bRrc{psUJCx{@Sl$n^*Xpe>(g?qTD>ktr`K9@()3OX zKsm%1o-Tny?;U$rcN|!~SCf=8GBEBP2lw1t<^gH$EZ6+L^Ici)v;pR~o>L{fGpgd6 z3=<*>LKGqu3UdVlr?zsO70@jf4UaT+9(BChrb5Q>xYQINB%~stUX03ygB}68Dow|+ z)i>O*x@^hy3#Y_?5DLY>U!*jne0PSoyxg0yyF8<`Bz@$FPdw|JZ=!h=S}?dc2vdH6a#b?oX$O#h8f&HB~XrkD{U1~xAACR|bs=vIRd9U6P>BO#gY z58pa1D~VGqt^de{7#d$}#AB;oVojJqCx5+k)9#yIx$ySV2c6OjsWyvwUv3r@@M0Kh z@hf%i?4Prq**;XI`?Pt{iv#D?e!4Ni-=!H($X*C~n^2JC2xq&TuEaS@kc0qp&V3aL z@$W_2_bf_wCqtqm#XB_jSE}2i{D%U5D6QaeN6<{@fp3DFd{LoMgJ%%T3I;*tf{B9< z%D@_EHCU)f%)8R#gfvmalyIH1q!_;T_3x#&?_a;RYT2rR@mYeH9N)XKG#$}Mc~dt& z^Y$|vr{?j@m|oi0J3d(yvf>A>T2>{6k=i~Asesn22{0(d8|7SA6*J0`lgnmQLW||r33e72nPH0u+Vy8msqDTzhd(siII)*BiaTYC zPq0gQhxdGNA#-pjEiE)S^8)d39CYSku|tlnfi_5?A_rwcm4{z)RF?=7N0+wFoWr0n z#TOPVX=E$HPY6rzz1K>5Kj;#n4vcOd_{WAA-HuPToMaiNpsGw zuP%>XO*gG$>*U9@g)i5INQtb=5W<*u%c8M!fCW{k;P(BqO&IXO!Uk75P#n+?kPY+} znUbiKU4`b$_nbzf$|Y%(UmM+gPkQh4p5qk=bRA$2G&aD{t;`tGu~6mJR&yZe}0Uc-oX;o4ax2Tw8+abbF_%jM^aDALO~F3YgTeIm?5y ztG$5&f%g7|`cW5wJ_SSo0cgHJSEU36MbCGAjdfS6-~NAWj4?6yt1CWeP+Zz-utc_9 zu9k>?g|CC9#jy3#(U-4YL3ASX;n!HE(@<57%s1_gJ-?Rxt>oC!d4wMF-_(u19n_fJ zki(rLq>G3}hm8}ot`n)a*nMRqh`-zj_{i&uW@zHId0M8K19!R*Rh)1KEQT#}$8??; zS9+A~J^Ej^5_N-@j|LWLnL10Ipk3O8w(jw9=1uB6F|B0Xx}UTn>3%>nloDdrOQ6%Q zfpw8AGY$^v-hbNfJwHQ4sE1(IbRgZj381okfy|I#x&%#Ozz@R1;2~~;*A#U*q)V1! zHvHp&{Q0AF20ZYU{ps5~OngYql?4Y6o0%Cn7l2S#qp&EFnli(eFl|BddSqWdUG*}>I!WtblG7ZD5 z*mK~)0x1tD_<<0k;w)!g7_u;>D1bnWc0+SP67|ai)Wwun^t7QBj%4Y($KH~T^;`bN zzFM{BhCgjv@yBcA{?p^jOMOxv-76nNfa@La<9|o^qvJd?yc+m$8yb>tK?C9dLJ0yN z3XMHS+Goj0cdo~T4&@KJzk&mBTz5^A9munB|didgX&N!xjvh~Tmr(W(Hl?rr0 z#ABp&84c;7g;OPu{(fnxX9;mO2tr)($uRlxCZsU@3Pz#f(WQYp2Mg@h_d- z5O~*^BunpREq9l8bay=|bT?rj$b5=yck2U*;mSEP3Xw!o9SyA>vuE(K$K=n>qvv;O zG&vwbJBMF6pANq-di=ig|9)P5XQwtE576uyapn9v{J!Y%`_9Yl`qO!qyClf-Y^j{j z(E&_n4uEYi>spF~fo=vRAj`U4j-Oplp_jV_7xi&5apCuv|CIF3$t|Dk&=F;6rf=Fj zAzFx6ATYiXttSX&Wr}{b;}fFyyll0;9DUG) z<8p1!2O3B+4nHpc52T1?xdBm7slTo!l0*sbC$W@`k7LD>=Jn zR@DNa$-fV{r);hE3F&?Ljhlb2jLi3hR-28B+e4SD#38E~9uYn9L@PB#E9Rk7ETg-9 zq6eRdzNO>qpUkWBw;}ydl!xr%&uGF#9FU9aDy+;d%0EQ33|ICfEi?&G3jgOz) zFf3H!-6tWkNHn#6Iu zan!s8s1C{3m)4-|wnCmLC&Us3j8`Z&SSBhYsuPT+BXfXN0P`zX2s0c0fKuG;5Qpha z6?9m-V90Q*NQPcZG5=cpJtAi|EzB+5GIjURL5v?5o2ZOcS&eFS!2mI(f63$+t+8qS zmnWuAKk=o6)v6KS9R*ou&R15gdPVy3*590zCU2j=>J_e_K_hBCnf^d|_THv>W7XsP zIe5L@wq0c(tW~K8hXQ#jX+-Bkuv-7>@h^wX7H85!q;t}judJH1mF<7%_qXE79fJ}Bf5jy^ZiQZ)3N zf*V!`W-OmRxnH`u4FAlHLn+A&^}(>}Uvm8l6@+fsRX^&92osReGUO%dP$3U71PV}E zK2nFt7z-+qT)&cW?d6I(+;kdn#ps=v>-oqZ_r%4s4?iVNgF>p60twx_14*) zS5){A8*<2IO-xFR_jcDe^6}3<}_O5Q|AsXT#4L(ySAtzr_v_aV|D}gwKbR9VGwm9aK+asZPABUsxY{yvv z*J0a1XAgvK{{-7%G%)5goRn>$4%y2EfqWhnG{kUY4|x2ZKq2YKk=!s87HDhxu{Erpq?rG%QXz#}!Yv&wJgpc&)_4V`D|!!o+vs~}u1Q7x z3It-3!PCf}ssgGOkmR&NOJ@Qk8czc8{p}B*H<=vmtqzmv{KM_w%f6M9IN`~l^-pc- z2yc8`e8rfaZhS?2d?O#;@>E-koU@6&K`>AB4~=@oyXCR{bMNm;z(nuw&T{&*W%*My zXK5$`tDL;aLXnoADONPqD|?QL73sM{Wdvt&=?2iD75M%XV^5ejXdVzyP=2Sxr zmm~<|+vg#1=a<@Cr?AYHXuPE0XLTH9TCTeNPjSim5BSgcj%NmPYdB+~Qu+>BCX@^9 zj4?@gT!>QWiLVatyB}eyBa76PNb17LsP|i}V)P}Y`cC8?j>akHD*D5+-ocd20`FNb z=zL!`kd0)MfJ3>G{hB?;-h%-~;^0sy5>gteU7(sk7V~H(X1`Avl($KA@+qU&V6MeA z49F>+;5z>3tP31eh+3+04!T|kcxOlSiGtTaX^#<)0C+XHW<-~Oe^XeP{jLG0a&Ev<36z*n$Lg|I&(VWrEFU=#2jo9Du>`K zPD67Pl>^7bF27lcdgCSPR3-95qs&S`(a;eR_#J#PAq)CY8md-tkP0H-1+ItU*OaPM zl*uUol^Z+qJ*oBrFI7ubjNFg-Lw)2&i2z%tRw0jG6rX*h_F3Wr92=E@N)@Sm);PE} z)g?F_rTVcc*+aJFrRTOS(T|C4=5Q~wUa1Kw#lE6Mv1tS{2)9oA$J&HN*R2@IeW$jn z*!Xa9UV|etGV)vJ*nD8>a-vnOj58#tG`hqjm)@C}8gH@bRDlNMPc;tbQhbS`KF7dw z+Fn|t(b=DsFHUsZ)utiN-hjA4TIq!Ryn^&Kxn(o=TyM)L@|4E_3o9_SZ+#jQRltg2 zd~fGq3uem1MSTax0`@#Z1NB6fUQG0*a3c&FbxcD*t70}wd}^Z8;E7MrY1N5(r}VvM zluJlRw7G|;#_9XH^detUXdL1)Wa#V;lk4JH*C>t0nwXHD)L$Q$>NOSy1}7Av)Wao1g6+*LehE>mffHY95VQTk2|n3lIWL8;WGY?Th0dX*Y2 zfO!`OJjZ)CGv{6RG5cW;fM(29#`uy#XzEp3PN`AFAh)blm|H5uxJ*E4{BoSPM+ zHfwq(v60A);qSG&K}_9PTsTJW6n^vk)ZPA*v!lclu+oy%I!*|-_fsiC!Mb!F&{ zHvkdSEW{d+%*JTUFldrFQ_O3>et~Ng8&+lb2AFy6n8MpNJPzM$;`U9!_$vbdV#askxc zE05z3*EuZ7I<3Z$l%&xbY=$ItOd>v+aWJPH5b$M|d(2*KoJB-t0-&4dlN{rDYnk;&aHqm8Q^A7;_Xu9{>B&)C@V@q$n z+h7RIFd4OM=~}-3*8J)2xFm~UO}chRvZ42u45iUDz0zE{c9DR#yk;Kn_wBM;RBGF% zz8tsd__F24k1t;)`Opy)R$x%+_(A=i6dD@P?6%RPL?ic7pOtZHrNwk}61UN*-}OQ; z|G8WBcEC3g#*m7Q%fOIS>+?l5fSvFVrm>l=I>4=&ODi<$9KAj%4b2kSY%mR6p^FL3 zD-P6hT;C5WN*0$DZJ&a~2>|Z0I(2$oUB8sq?e=~7sScjEC-x1q+~O*qhYcHw{u67n z2*~4bc2b|6#q$C&x|P)?Lq3X+#Ms0$^wR(+8T_u1Jf@M)`wGtt=0dx|E+Y_0Qk9E2 zSf%Bt#D6w!pE6~8Wa*Ucjg8wQ<4WgkyZ$%OF0#^hcl`dADcO9+!1-&3JuxF`^2Ek! zU(AR@(&-b@2Om7WacTelp4?2j3AfWy%~kQ;w?-pW2>WmrWpjbCMTx*ZM`xxYLUg1Ur*5EYYXMjx z*hMhU7YgJ>1BFdU5+?v!RS;S9D9Vy2YcEkCZ~N_4aG@i^O%lDU)fB1;r1my1A$`FTbMMpuU(@|ICPy?%-!#(6 z#)+FYO^j~sJ$J6-MtDsSCreATEc!@i>=Yn-Wh)bSH3qzip5CZ1@C9UUibU=%**EsQ&7?sWlHESQ&cHTK}bD|V2`6XBwv)BmjjjHN(+u4VlkgFk?L^BcmCtpha?@Ph| zN8bkm(j`&27P_QFyd4Zvst2wI(Nviv^g@+{P&H!qg#~i@kBu*DZLz20@^sHgFInSb zV$#!NViGLuYozv&(r~y2r`d0DPBdqTtr=#~s-Sl$cyRLYaaAz4oq)B>HV>9=ztRJ@ zQ8#cT0)^%xdD~fxGki#DfsP^+3Q6BKA8`-Dt!SZ zlERb=IC__W^PT_Na0hZdU`aV2Xe)vi!w3s=G|K1(R7y*2s8OH|NrH{)hzj9NKshYn zNzt=bSJn-ohn+QKJ!=U~q!$u)S5+x{FtSqo8;WiXm#IGH7MHTSl6!L+tTlg^5C3-L2$kF}sK336IXvY@)pY|Z7h)zmTIz7~DRZw~%IeSUEh@9z^rajEAGZs8vFbeUdjnShe=^c$F zgGS*XWJ#C*c%VT}X;~B1Za-x!cjPOV~^4 ziH{>)dxxUy)l6|giz|-s=n%}EUcxuyTq7<*CU+`Y30_Sfvl9 zt8Pzrs~BLRUkOnJuoaQp$%zjXqzG&S6Ixl3^jh!1eVU9& zuH{)=q*70Pa;jQY*c5~O^vd+w#$}DQ=}O_o;sGMB?w1p+;vshr=8LbuA0iz}SjM^~ ztb=&Orj}C=FhH${=v%+Jm=XiYNEry&a0^ThBfXyf z>(lt(D>9@PdsBK&`VLQcZ{_XGaO8+IbjSC1HQph;^W?qKA5YG>=PO=$MRnvpr|9O@ zz*~wxnuUKHnMR)Xm*;62(=Td603V?YTlMWwmRj{fNN){Ks%n?H0RgN7#$4CAW|>i- zgN<}q=V4*k<%=h=@@84zN)N+h=vpM%rar1rhp{4G)&M+K>JcRdT?}dI&}1rfuTK4M zO4N(S1AiY16^@#t%Q2&ogR-n57P|CnQHu+7!N7=yGFTvx8bUhhKA>y??NnR@ncx-d z5ko~f*GNoHTZ_#4G^SS=Bs*=gzuBj*ooZ))qn$`aRc>xouCROJjr%t5yK!RmlIgPr z%TS9jd-{^3L(nA5DD>NJhJV3nZuM9q7E;Ww@L>NER{D*cy?}8$CSa#syv>m zWrKA)-+c5*mB*uc^3gYU>aKdUr;allIwu7Kx`4yd9o?G z(6uLqk#lCz+_};ssr_=5Atmm?h}gr#%f}*plh!}<-R8~TJ+wYalh>dA`$nR_MEft7onoo}H(#f-?1*zj(cxMDOJ4*+@NU;S2t! z-{9Os4|N!Jy_}Kp@~$iU)4=~_iBqraPfC@Cut5Hc&UF1e?##UF(XIaTO8lfF74F$n zNImL`?_h*=dobwXk4Q=o4#_!czsI0fAd?iX zC@_o9#dnddy+pL-V29`iXdqPPkfAXtkqjNQ(vmKLWf+%`TXy%RpThV+J86L%RRp#X zoy1s_v=%@m47R+Ohj8Q$<>ge#i&R$ZM_w6-#oGB=`DlUPpux$?0#QA>vb3tt?34ue z^qu+z%BI>#c=UYfwV}JF=|ts@$wfJXgfPG%Cg$}+WMrM|K3cctrb_SnD@g2(>y^eH zPV4mp9d=)rUa97)a>8p0hlwm)kW!qlx@r0kg{9Ka*xcHt<)c~p;F+z{cCpDD?E`46 zQTr&Aji3|xKw?*rVpx`wv5tfKmYRtghgt^B0+~aO5+U)l>&ou7K>Qf;Z17Q*%uo0d zB%Y8upW`Ps9>@to48Lba+qh(Q0B`SI1KdIXk1j!&HcNvu^WAxIYa>je34d`$pGf@^`4QTY`tL|f8FiIz;0siMG!tc|X;FCr^q9f6u`FK39z5-I2W zGH22JQG;1sW-(L*uWe7Gb}ua&kmHkH3Gd1eh_2-Wd|KE7&54_8=N>Ts{lMJF^oAYw zdMEedz#)d9C#On#NLyQQNr8>cdUd?r>nI3mnhinTd_i3kNUt)y6hfHK+!rb`XLcy8 z^|}FB+--rHb)J0b-JJ63oHyR6&QgyIWDGKcVs`dDSsqN2@$t};Fbq3+!ZPOVW>)AU z&<8;!Bt^NC!dKgaF-b;YxeH>%$|KqdyGQ3{v9P{uVH($WMN_SW zgf7ybA|KT@-LsP2nGqQ^eV@9rsaDxCG4dOKsG|}AS0=NzFqsc^v|w93D4Pq9PcIQe zTHtjKsG5YaoNv;zvREXjU>Ma(MM-|gKW=|XIsywr?dhAEYTYaE32&P=VwStM>0%3; zc4R%TFY?8^Q*&&|J~vV`8nSwqq#KPbN#03S?s%W-s6Hp*d0Bxak4f3rumBjWpjkdY z1wG3Pvd0klNdQw!YdN5n?}Q{le7-W3C-3xBOn=d_YwfX#218sw#xg>hWYVVsUPC;L zT~RuS+c3n7eC*X>tF1Hi;xg6RiRMjX>o(fzX4y8@U9-h7VU_AyZP1aIk{>tcKxu&_ z_OH+Pm1*u=zeiK%%M0_L7<+4As{|gLom7>o3zR zi$B0uTvAM~VS7povmNZi1lPpv+WPskMoM?G`$o=MI#zqb#Mo3xp~^J5bh?}8lsEaL z&4tQvo-Z4-1J|>d>|>L@GHebsbv*~h!tpRocdm`z9s2pG!KNv1xM5b z8oA!V5#hu0KHvt}$EvnXdT-eRX?JL3lnl9*@3`Xn+9jA>v4Ji5SG9x^M0-XT5z#LuC5g1AjLkm|MFk(F{VBU>~sj zNl(x)WMHtM7PP7A0f*NfuhwtYR^{MuvnJGDslG5Xv*HC%rJB%7hN^VvZ4G(oz5%=`mjy18Z9Idcz;ACk402(i>I z4i2WdjvcPZXQOQKIaS+Crc6ts^bu{Rxmcsc2CVE^j@ZbG0gH0Jf^olQMKv5~pdTHCG*8;MB7-JsBf`?)9kAvn&##OnR=MDl*tWXA0yo6sz zxLzq($%%cS5Cm`)MIjJG5yNCn9)|oi@Y;FDqTdFuoj>TUKy``JTLr@~rqSxR##mU+ z(`x%Fo90Y5v&3xEYc<2MzR{-nK&$2T!iO5$F1>|sU9Puuye;3HWzjD;SghKP3cXHi zj^Tz%V-bvbZ{(pEvsP>1pN%nFBNt*5RH+&SeVM6Bs8A=4r3R7By`ymm1QHHes~AO< z>*D80ff5Y@0gVSzLUbN5mp?Ck`=jScHSi*T_}d$A{FV*vGNbgYcQ$B^oau_eN)K(2--ihb z97gvLas)}S<?ck0Bl{6I@z&V}9WabcIzcen5?o&E(5a0>yaP-o zozbKY=#9K7D=;ei=HEWY$KXMuRq-4eO8EtXMw zfzu-|kQD_dY{c!Ib_BR|)x7X?AA6;)T(sC!Qj7 zsa4e?x@Dgdg+_3y{2CV2@cy7v1Lsi{<64Q>MH;#06ODr;H*0-X`j~6xnj?+aXRVU^ zS>|b!!dxpUR_TO%868fhi#ji(+dgSzVd~?uyejLB$dAPj(up@Y;fv!8`ZZ$E9|U48 zBKxoGy4>r?L-1uoOQZB9bEc17FZJfL*b7o`WC3vED050*rjO-^UZs+cB1+BK@C+`Y z8^gGzioJka{|AqI29Lvy4S>-5X{RJz^#{<`rJ-%Cuq#BfYz_dD(|83cLe7F+y|T-y z3aoeHTMLSz&_nmc7Uc_&4XzGcBX1!(oSixC(c9@>)F*#KD=7 zHjq3zAes}YPlIBKd_p{O@^fwn9BG1ZTMr5wgTsTt;T`_P&5QA0*s!>E#FE9$9RrRn zU3Tow&yNWkk1bnz3_BekOaJrCb#Jd-`}TFu@b^j*;tZtaZ{Iq8?EZ7yNa;IdK}AXh zwoYK{v&uCK4@nmeZ~3A&ca*N)UHj#h!_tLA3pM3gY{7nZ+n-w54O~L>^+Ar_UOb83 zxp*;?%g`df_!#^A*s;%#N$G4IGp;?~c7Cm(TeNWep|_VWee>WXcs}DWJ_BAW2!-nl zZ+Y@I>B6l|(@L&&toBY@d@EDm_T()%K7DZ$`pir?;2pv|tHHN`zp%m$?`kX%k|mP? za?XKA5aldafi0F1k>M001GOU0F?k*3AmthPA-Mqa2NFUKM0{UqyYvIo0=Y*k9e8}x zrpGt2EWMyl&-O2UX)x2dTrtUGlKZ_ReV;rAo5@T!=+!0u>~vhBP0I^;L|fIMrqc0u zd3~NxUK+O?8K%$RNk5!=Yp{8H>LsxT)FJ6+G)LqtOZ3HoNIFBE%H1< zE>)G1l4M~<#V(e}-Nh0A%b9#`gygz^qCUQT;^v7HH?u-*TAyUCZ|%kv2?@!4(zK5B zeswn$-k9%jXdGpZXO;}ZQsZzuQ?zSzzx07;rGK71i-bUHdP1GTa}Q6N82P~#E5@l~ z)6*=LI5F0i-6tzxD7rDP^8rhTMjv^$$Pmct1FyB1v-C9fMMr4mJ@>5STd>5JC4N4v zd|V8}kB@x#WC2n}V+4RVq(DeDmpO8cjPEH6-O8lOaoazWo_*j!>DkY>PY7|(=BBcn zy#w+g`#&u`otl$BAdT(!h~e>-k&6#XEuU}O_BjhZ$f-gT+TZmMz+(OYkMs&F_6*1` zOp(@-PKTi^2SEd7QJ)hLSp-uBq8Jf;kqSgGkKF()Jq0qWLG6j&77*=G2QIi}`H(?8 z007oP90IAg7V`$`rVB^@7QAHOV%aRdD$i%jwCy6oil9oBb} ze8)J}x1ZfJ-@ULRw*O=nI=|0azQl80|Cx$CVHnsap1sD{j`GNNo>|;u`H@Ro;BfLR zZ+oR+=@`+cF5nV-r}pXCJ-v(_&hWEO0|U4MmdoYjRR6vIJNtwAoGMMpSUy)?AXR&i z`k24y%QwKElgkozwTEh=e638QwXo?d0av@X2gM`F6Cuv5T=3ddXbL1vfNQWy)_;)S zaEhN2%n^+v+9k_NMpAGD36>WUQ!WNyki6b8bAuJ8)F;pYK-_|KZ*x>&V467c@aW0R zT*1ijk9gwZeJKUt4JK)pZ{0DOmyW4cZQePFyJ0q;7$@la4Eb=A34DW+nFbAc@qQL- z)nkxwi;pG`(CWngh6S7_LD0w9Y{ObN8#z6$GY+hH?E!y`&b#Q=a{6N zN8J7J$o|GToYy7jlhXN`Pc|C?BY@Wq>UZvb<}k%5tuZl8hg`T$tkN$i(da`pA8m}` zs0#W)f018~Vq7i|x8W*NmP|8P=iKU0q!2m|Bg>lChtE}2b2oi1{gdr) z(9Mua+D@NtJFQf3Yqoyl*WA6Aow)seX?|qRO*bb=WuA*{{Rd1JJRm(IeHf|RV&E2S zVihZtxZ`vijVr`aLXY&aY)x=0fC&o08i-!Ri_;i_M<`J^mD8_;F|eF$2Z*Z2Jm`0^ za##n^uh3smc0plva0Vvu+oaE=0rPuXst?Z6>6Yj-zFt003L;_x`E0@@3UE#g1_BKN z3@gEV19lb(NCgH!a~fL3Ky>B&G;EOG`26wb4ohFnthq)IuBn;HY=@sazFK3F>&GE^%L86W$bF3xPI@#`Ky@v z=5JX4(~lBw%2sw7qdEnX#WQ9wEY`kV~?+5Xugcq6Z@qbhxwP>8nsJQe{Xm)*G&5Y`~qv!8k{px_ii!V$W zv-FlVkL65d7r1xDcW>JL2X1Uh-rnaYj=ue$Tk4iE)zap^_psSNj6iw|3!BWA#|NiY zEj#%rd$4Y5b?!ZjwzaPvGqG;aM_XU#hTM4eEUFlte^g=2KSn~={;@|`)T(LkG6r^Q z-2&K>XD6IdDXjX7FhGLpz)T4!HNj&O+cm!dqG2$kVCnb!N%+1RecHlxQ|9S@w z!AmJbmtlch`4-uNN#$~2Ui>S{PuE^nRjIJHCD|x;D#;HY0mTb$(2I zRYL!>$Bw-;+}A6lkI^}E^WD=QpthBB*NCfSeMzyd0#g)Kb%*h^E`_6ao)Q-wDGEGr|*4vly)8^c~?~OP2_AX8|njjPUbhCF48aR92 zz|g|YjSp=dyldx+FYOG(a%$xNwI|!n`~sJ&<2*}Wo3mie>UU~KX6Gbpbh>!GMm2Xv z_~tDe5-cEn`i=M8dGLCja&dVmRMFJ5ch;ChwK|dU;|8pqIkmW?B#06Vyw%H%l1r>D zs}fC|(V)^+R+*A4VpXNtl`v$*!Z{;rCrqdvHQS>~Fq;ym^=Eb5_QqM~_U?Pbq$?;? z^Stt=Su?5!)(&crru7@V^})$6?Ap0AkisGTxmt7@xf4d`LMbU@v^8f!?Z`Pz>opP&nU^)=EmtwLTRWs^_e8tTs}dcNkG3}MjAG6F#<;oAT~La7Py=kUbw~=dogF= zk6>!R?E_ZLz-MrnDde~Z!t4Vql z(daPh%QxKm@rsq-JbZk5ids-=^wuK!!%a9$=mQrZ8XzaOWm@MM6teH${P-|f8 zfd8*@Zb8mkX>)?tXVCvSeYn-CGx%0+-@R#ec}c@{t9DK+u&0bw+WQvuwMg%0jazqm z=JY$JRK`UbtE&c&b{YE2UQpRrsZ6q(f+PFomycgQv6sdOggjw+{)1!E-!je1uj^&d zTC;C;s5Cr)iK5A3InI=)RK>7+lB)_bbh=jWFq=*1=rcB5nOAqy_|ZEj4(^qx;nr8W z1DwM(YB>C537(sJ|+!H_AXVCJJHXb@sXt6LfNtIPb%1p9ZbU)Irl#?Mx z6N7^g60wY~F2QKoMIj?SwuNvT94%UjcDBk_^w<;?LyIo^uQU?*ZR}h|ku{=TsXeya zEEIakg?{`b`Jq>|j}bB{wGnx+b(%M2>kDQA2FIme#QyBz*VA45C}v@_Y0*|f7>*$= zR5LDw+)xS;RRvgDcQf#c%i9djOjl{OaM4iKjGLnuM&1$>EkCKVL9YMst2Y#hK$!m( zoqfU&&PDDM-pe3s6vurzlAe&!NEAngqW`mY7)ufOXU;@p%%6Tb8g<^af98y)!~Nei z%`FJbzslp}fPZ?t)cXIey=;)9(t#QRtXO#U6KE2eiW*2>{NFW@=#&)5IwQ44Tjm26 zZL0Rh|E^iMzLEl<%kF4<<7x6^BfbBN#voZb%JU|5(h(B=z^!zyFhzHF|wFm&D|vAM^8g7eqt!jo!d*7tt6EN z-tEP>_@g{Wc`42!s)FjSkf)nCf*;0M=v3cdrlwF~Q-3HVmtN(YTJ5gH^tKlHy`gAS zsvkvRi7q0ERk?*Y~*0% zpw?hDW0%7&H=CR7Zja?c?Tt{jw?xRvssDZBeh77ebca8FZsFLHv6-T-Z;WVtM*qlOdHA`-l z8Y|YS627=%xBY}#$tf&Wy;=z*9jg+|dRxe*hJw+Gx!tBlWB&9Ae@UUWwt-3K88$@l z?DXA99&$q-qR15^_;PZH?bHExWmM@}L!&KAM(an#~5!gihJ+=mfgm_V7GDdeYo}Vf0lzJb?@D4xxYjU z@EV=bA$knn_`JM+{&A6;PBH(z_folKI^Lt)IW%|u7{OHN)Hags1bP`TPe2O?)G}D+ zG{E~oAnmFU>8S(0Vjm>)auK>PctA4L%f+r*voEFD(vdfB+Bh~LHs|2AnWY2DUSreV ze3Ol&3Rl;>AhqRJipE%h7ZFq&!>RJ@y<%OuBad7*8F7#FsByIREWG2Z>ziI3QqVYl zWW{`+QoZ9VX8B6maSDy0exRR04LT#31S8l&b--DYGbsHUraZ9m>-%QRxbJKEJ8A@l z_%HN8CA`%2M5Td2ZDw&uBY`ys@e3woc}d$qF7-!FOYib4Bd1xqaFn*W5z>2f6fMaV zqb{{5?-xUI9J-Q0;m`YcXv$Q65-5Vj4yT3Mkv4JAB07}!Yo)W&uRptSYF5Lbddq@g zu_tnFtDn5gndJyp7S5WX)~_iItzvcUeA`#j6lo+=HM1(F96Hs0OZp9J&4wM)Cu1)D z>R0tU;@R~&HGSi#9#sK(kte@m~gm za=r8h-AnyCs(S`w0bj8C&ii4faRyjLFq+#4(I0o)6VD>%5N2!S9TzNsgO0FD|(zW^%wCkPf)x*s0X2LHS!YHx9LF z^@CZk5O{!84i_Ay3wHFG=NN? zx=)vNGr92N8wqO<*?OV|8N`ptMi`KD@@4SChU^rfpX;9%s z71kh+VDS{59tlUCd@6#4pa+BZfimy?A>Z%XcVTz^o);Hx`f}(W7D~6j@+;~6x7V$E zoB4iqo-LL_+#}0iDF5csE=&2NNOp1jy4(GY+uhkQ+Uy?|t-4|Ng}n=3+*7}L{&n}X ztb1E}AJhYnc!#T&nj;b{_Fd+6>H9CGWz7shBqizS+ivhFt@wt7)zXPa5cDv=8KD?v zAUZQ~U*ymPer($#j|;ck_C>y86Qr1qd)Rb<>TbNH%?lmlQg=RALW16?A z>@=F7uPMaEvi%gq(q2&P;&AWfd+;noWBots-UB?2>gpTcduL{QlXkVMu2oz0w%T14 z+p?PFZp*z}bycit6*r0n#x`K8u^pO?3B83-LJh<~0)&JTLJK6s7*a?=38`Rf{Qb_% z$d(Psn|$x{J^$x#YiI7OB27?qt;@uqGejpF5p{d=MAqr#Fzo z?`}uB*XQ%5JEEZL?tI;0b69aK116lB$mtxvY7i#=08co^1YX{Nz5*jdCAX%rRGdvp z$_5ZJ9SV*l=%tNup#*+LI{2$tXbJOxvjwhIS(SbYm>+mlx+V*J3=vB-(VAW(+9w|| z8chc0iQ6*^olz;?6kk*`c#p~sP(EUhZuV8?7ba#!yS$0{1+ntAo=aDf(9X(BJzcQ{ z`H5avbXH!P-Crlb$6gpEfKsaKCXEZ|9-~wio z|G~t^U@y+by1(J@gz)|^FfLh;NvOoRL<>d-!fV7;1n-cHT)?{~f>;W$p;hfptB&!) zW!m0_jAsBV>Tp`&1wT^D=FIXdEUFCWsVHJQDO7;IuRdgO8ggQ-)|5oEciZdd>^c_i zZS>?+=`)SFx(+{>avNN3Q#-#hVig#l`5EGo!7+>Cr7r zx67O3b;aAFdwZj8@$psB?2#!=F$G1jiGsNzdFHHheztAz*2D$g>U_`K{cr3aSa8LQ zpWSucN1n$%lArrs+>=}Hzbe%hH9fwI@viu)3|ssa^>XYBX}0L9_*~A0}Nt$Vj3PmAMLZh(kbpaUoX5thz%5kMGrcDrx!qhctbY6 z(sNm%sAzoQoDjym1aGoY`sMi#Z{Pm#`5zD8kh=HdzQ@jKh3R5bV!@IPi}MqV-o)Ol z?BN5^1>yDUW+ysEuIS9kS+nbfZChTvV6{IvFPtC6^{)6}Mq#4cu`)BWzAe}6uRnjq zyz|!0E>3fqxoy?xl#t9>$Kv>c ze1D)I&1NWDJ#@+X1y}88sR%CK&|O+MJ1@y>j`oLFgq<$NsupC%`oqOjlHw}D)nyIg z**Gj9_*Lm9RexP~_UQrff-tKUDQ3)aMdwRVN~dkWk!W~!r@6y$WoJH(ou%5%nu!rK znJJ`&*-3f5>giV1Kc7U)sq!{BZ-O@cDQ$S2uZlSf!3knc5BWI3_KCPoM4}P;IpdiZ zovG8#4zcX7_U`>keg{|fDYZwL`zohO2})--{P=hFeswC>0+pZj_0K>XPt&jD(eP_M z2|S>x^P}g)>d7UrBmb_izScjd$4rw)`d7VEruN1uV2DjsWa2fC zo2fUS1e1YS4TPa4!Z&^Jfewg4(^-ze{=Ep4(rnVR13VEPpHOxn3x6cW0XDr*2#QD% zv!#+^9@iDl zG7dXPu9QXM)47l51nHU?#}4CL@dw=s_1^4*Oh*phrN>Kgna9sxcTvQ3+3Gt~dG$M1 zU*?Kjw9Yc401;##{f>ee0`=hdhQg^+3;6*APaNeCsXiQ^F6O|Lc3fID!ssNqS?Q|N z;TXi{i0Skqho_0}%I)m&l>?M$V5K~h-I!la;c~!#DsaiKK_>{XGY=10=>i>o!Q}={ zoXC`0sz97`f{OH0A%YTxkK{TXqWO%|Goe%wa-|TJApE*ot`_8S1I%SsvoeR-ES5|0 z^5csPu}7U|ldwQW=mQ*9A@pOqAtjqxO<^S^o4LpkcT|0UDn#X&h#iHa^M4+VJ*l(W z?MGwf$FRIPS^2~r4@YB}`i{+_ck+u9cdM1=fT-)iIM z!+raO%l7X((ZXJ10sMb${GjgSI*2O#02$aI5avIvOfCMLT<4ft#7SVdK5`vi^JT9sjd@DX z1^Jy`Hp)hO!8Lec{3Cqh#JZvKk#eA4q&vkq(l|;wr(Ut<=OXSGota=O$`oWRYHx7J z(KT;g*EoLo6X$)PS|q%{cKoQz2MDx@KIJ~%tiAaurJE-x$>+%_69x>AxTC)si}%O7 zqb1y))S}S=l1?}|Q$H>}j+t(TyrLIAzu*rBQfOta90(K^Y%gGpN+|5@5@Ju> z2%{ho_6px8KQjLL^K#&MV?Zj77;unrqY$e+8ilG8Ccep*7sG-lO!_tBH}ZDx_)ht! zF?qJ}OND>n$*aJH%5OW0IYFl`=p}3f(wU+|o&~b2EI?NGa2Sl;1GrNl-_n$wS_b+G z{YBiiXf}5EurQ-*&+adq*~)+JyFkuXY#WTVt&+zd+xAMOYo4p}m2Hp7}X9wAD z*}>2Gk)z{ptj*x8X>N043uEUUJ@Vvj9orAS-@THtmEG?j+}?59ljKkyD-Xem>C|{m z?6X|p{^w~r-_VmF&t|kQJ@o_j%Y#dK0}+^5dp$%Pu(DJMf0I^XLV8>{0na#J$oH^i zB$hkgEM!@YK6%&cugkl9Myu5*zGK9e?QwYn-}5V6jxDb`o?W$kd6oE1)pEXZY)p4@ z`*xYEAL!KZiCZbhN!>m7U``s3XQK>p{ec4q+^4gVB}rP3v1tVCr_icIqS^Fck0W(R z>p-lM&P^$XvqFhy`K*WsCqN$qznC!e#D%f0@;$GmWvnu1WmQF1hVo5fe&fjSHFK|n z`;buL{GZB;=WSdvrLu5t7N*fNEcEfEi<2e0&Bp4wV>q7m`cq2^QT^T@Y-KK&jJ_E8hqf+-`xG-=A}!$aLSm( zW8tO)AENO-@f~DMgX~Up;_C{TLGFaS`WRyYGzDav02P<@7c0tk2^;+7stiST=o7TYoY!Yg|)iz zteU9K-fgeQADva9T>K3?DWYNOfxn4YM14F9{fkv+VjtzA$!W+^IbgV#0qpgVQBjQj zQU5zwCS+TQ1>lCLr?RU6PXPf?J<_@LQocAXM=#`82KLjuC9IEC*Iw#de7dc_8s3lvS;ec{O=7#* zyU)0B`#U#Y64`b2D{C(uN?`dbZcdhJS0=sbHAKt5i7BcJ{NBy(>Y`%4dV1QPk-cB- z`~JQ?EBmf~8DB+v#tC|#By?9}UYt76RtaeaqX3X(QxCh9BW{=rQ0!We3<>QBNr+bw zGT}Zr!%F79DyU`B`gV%G6$UjI#fQnVQu4Gszc0zFM8zbOrX+>(R|Lzml1fcZi?P=% z8n%6S!F!*|CqB8SqvM`Wn5f*@)n^mMjVMelmK_T;Rwly*OH0f`2Q>_W(x z182D4#S{OPeRTp!_b77?n?ynJQO@YNfow2h>XGCRq&U+3S#TW-$e{;6^N?szh<#^l z?b@+5?6RqKcKK?^ga`)9Hgxbl@2#{Z~h(BIaQ@v(Qb0~}L2nm_eWFh50i1D(2-ou2Ik>+r4 zP4D=#%w>Pa?vj61W{#Hs7UQz?d>oL8{9drd-uF=@@(9aD<7bgqhz|1aZ}c?%Al^aV7m)?$YO znIZ|y9TJxFV*w_{4J-k|OBgJBV2?q_pQKR1v#0lvy94afhMB~|=)bZ$xPY^WNra4` zd%)P!dq9mN3Jf46296b!2yD1fjuM4!xPf=agR(HfUS@`OeQcUdZuXT-1Yxv{UPSU5c?MK6^2{UzlI(?P>t4ri5w{D*da|pTIgmV@wv|=fNseH+=qH22wy9jj(oy zGjj&*C}o7y)eK~X^M%nSo580U-lTB&S10Df|I({Ot)Ko&`oJuS(KCRud2;~jd5^gHdM4ME6yqmwv?$}RH#jwV~F>Z zEY%c4CLZYy1CLh{Y3Ff0IEsqUfJ=5Nq~51D;1RWJa=4IZFpgt4Hj37@l~L zRbg{0f|YdO- z{><*kjyi0ydw#YrYX8=hg#klKL(w@`WltBS;_Rh!3q!-58S%mcr&7eH7bL~0X+&d2 z+2mBw|E4NtPh{y-7q8~9i9I(|o@z|VN()`6-MJFWqSND}QleP0uw zr(p6IGH_?e#SZD+VHtG5>pV!cfas$M0=uWUUG&&RUF35FK}>%5Bgx3hPRl6u9@s!I zeA5RGe^N?%M$o(FhVf^QjXz~gv)*a7>Z@`2IDTgB1#4clrST&gxbM}#pM6N~?dUFr|q~~c%f~`fdMZP#pPJ<_@esS8$-VJ*jJ*zxc{nTh?;*Jw% zsOf=9h0L4uF6`0AflkF)83}?I^ymjt^YQ>12ni5h7GxE@QF@Vhzvvt~we*5YRXPn+ z7Jw~R73m@{3YYreyV2mKWI!4G_fVShW@UBvMrF(>5)-X%Gj~=yUHl7&QSWK2PPyYT zhu)lI^se9WVDs*qvQ~usx3bj2LLUxz8$)>>$pCo<_Tg7E&UvaIrVuyHlZ41E%RMQs zZQ`r3NhuC*rTmXe@|P?qf;@rMJfDT;uNl9?U}J*Qw9e?t*pss6fos>_adBv@yDpJ= zvjVgHsoB%lZEDUnae@8qSnsiCFL#;bYg^@SX9yKlHp349Lk#Ea+aX^!4L;&_qjyLY z7Jsx0M#&l=kg-1iX@0Irvuhh6ZmD2d7*;GfV*%25AW<8#Yo7 zM%wQRo;CpUl3)?^mz29pdv>7*DN(o#1`ekC65gLyvNzi@OJC#zGxD%0t0L@YqFkL* z0n5`_?1}Mz%jT7mz^kI^0jB+v5^qo_JTv_>>7O*5XT< zlW+ysGheiDn?rOITgx`^oV}sy_tSDqGyfQ8PfML23ys*XVq!AW=eqxVu_Goeb3xQI z5o2;Jlt{~SvdV>~=zZB0cNb2T+kAOqxvxAM@`k>tIaxtgEmh~F7ffAmo}QUez?(B! zq3t~HqE!D&=Vfv~{2oXwWkHiHU1ZQArIGz(OQT7z#vXtXu*Lh zNw7+fr4VU$;|RXmO@;9TSW{6lni!#G=Gd)`=dsz(dKj4wnI7j)oa}DH7CD? zD2vN{Zna!*sLT=m`Kie^r2_o>th`uuuEl!kk#&M)sYzZ@T&B zo8G?WAA3`(suTZy=iQ%ta`&qFwv5)fN90%9ndH0t&e!i>Gb8QrxA|Mgrks=?pSxvy zrfdDxap5VMOXKsCoy#h__w`Mi5ABFaeEfJ_4!FJbpn8EBvj7qk#3|-BTuoTzUAuS7LTxpIY;^$AI-Wkr(@P~uWLq4c4kz2O>nb6I46|* z`PbHj34Yi@MQ%>{CK_tmI^&x`+|e-8vPinV#M+~1)t47m2#TZC15=G|ifk2bV2@2^ zhlwXWbsb5DtfH(;w>8@$8l|X=UCUmW7X?`qYqmKi9d8WPyF8b0qr+(}wWn9-&&k7;+(w6wJ?3birdl`x|+Bn)*X{%^*Hpd zOOqr|p-0MfnUd3!@n>{rOCEOoY(5y%Ilvd(h&}Eaj6aYvfh!HAGWCg808%E#0YNbq zM|8r3J`?o^NtO}nQ9&I&M%qf07bG!7!&X}3t~V<2F|u%An8;%CvaJdn>|Fl* z{Ah4cKuftncqnjiDL2}kwo+SqjS2@f>9(NF;V`mGneL3q03fihtRbms4G5+O7i0hk z{PX?uxHC=#0*jr1pooCLtO9|_l_z)v%UN@Q5pP(rbxl~$E~(@XfII^t;8hIVZZMZ5 zW&b4TiI#-$Rv}~xf}tRWIa-G)AbHEGL=e>`-HgH7kjEpKOTCVUnnq($mwb=>>$N{G zTHtidd~C_ic~5}mHd*xgXC1z=V|!)Y#fx_}=31Hl(vOd@z8_1jicmv&(B8rQr88TC zwdZcG)$0n^Hq6c~(no(%m^9s=uTOc=esAb}XR^VNFxQu9OY!5x-6G$SWQbkGSz=*Y z6!?4kGS&|-LncRB!R*2Z#QDwVTvfAp^PE)mOhvJu+5nn)J?uY|Y#W&T!0(fOX<20k zSS>mIBd$Jh`=lSxBi!Ge@e6XuR??gyl#mhaQslCsi$I62%0znvQ3_Q4C%yiY4_w)AJynX_(SpIo&5*5 zuJg_7z=a^?c*2NfST3Ty zz>Dfnxxv(EbQW#MfJD_4gfzpdeL5n#uusA2qbxPb8wDd{K1!rtFG6~qwzPC?tlX$q zDS#zAi;`p0M_W5(5y!HGy^2DuQyXY0=OFh8(<=?~2ust-)6&W>%$b^haXOXYX&Kj+P>7RPj5xFva7d9tqzzkXkGd18re@WLx*MI|?dk0md8 zaPL5yO>U@et)AXKosZ7_R_pw$%8J)?gjQuh_*I;{jCt#(R?45Q5vSy71(czXqVm zr~>{W*Xs7^bnq95Nhd+b*g%>|I9Ds=XpaNl7$9mbK)DJnAfIGt22BE}FF>f}bV>9+R zYUiLRxWa%uP0bQ>ah)|(A*NZf>WdiUZ1~}Lzr8*&=uNbgms_JU;zKDlP7IeqOX(CG znyKuaPHzJs{0+hYRI(Qx=wTTc8{!p!ys!&Ej^K0q!5knV1}Rw#R0#&CH+%(^2aB;P zrlDcmZT(VHabsm;V6DFYwrvd!F;zy(_)nQ(u|oc06b)U*PRr^q**)(hghsoz=xf9KeN1C;PJI6N2f z$gI9<$wKo8m@G_z9t|(c0LQ}>g^$fFq*Rm|XxyL)&`jd7VF!W!LMG}lSZ$J?%`yt+ zygSYpvvL>C$z&{Z&VqcuwB?R0G&a+iU|Ii$G(UevEMu`V@?jjBms#SUUp-@u{Fcy| z+d$C`xsAfxKdubf4Wu@xnE9X%&N+uY4;NbV=Tez-=ND$=9Xqx%hYytEi_

5q!RY z*BeMp5!YRitn`g&nth8{m6Dd0QYAj0ZxqJ;!r>+5bAHQflhf0aYx(Url?1GY6U}5F zylvy$dA2fK(`58 z4KJ8nnOPF^3Rx@@8g_Vg6GI*_Bng?U4A#>qx-1Jv@{q$QbMPz!SyL+_iFRlz_(NHK z0V0O}tchz`Cb(6e7?+~x9pfb%8)c-+N~ShwBa6&z&P!?UfKd=_feP)X9~S=&MC3F( z*fN(l@lMz-Sg_16J{@jx<&VV<$8Y)g2W-?OuM)0zALCcypa7@C54l}4jp82+hE{_p zzbA6zM`9T_Oj{2RAI9}Nc{4Y$2PA<_)4TPX&X=UEl76Wmy`q=?CUS>c{DGdm^`|%G z(s%#%Hrw?koB7l6V{b8-VY{XAvxUrI5`qnSe&|K^v-^%e^oLtN=Nq48kKc0Q$&at- zZW5)*hobU>eO7s-$XtWXd)6mnm%lcTUi zK&*foQA{K#vaRajK9rcS7^w0jBmjFlBtBqCDQ+x!lKgTGJR=daf)T>G+sSz z>3!F|bshfrxlql3dksJ;yki`JCk>MLXg+mixfSh^nFV61GuCX5b*731Gb8O4vs+sD z4ZYW1+uL*PwerFv_UNOOT|#!KNGU?!W7<_aPf)(m1c|p*IQ7F$KslqsvIdML5`{$z z0qCeH@IM!*f^8%E$}_%2`zkHzlwXZbDe}9@bPMTFJd+e=i*a)@X7LHY13w}nwL}8*;!Y- zX2blTm}2po@Xu>WVIroz;-*=>PVN;djL-t96631*$$`%G82II>ph;?=TR4h2OMLSQ z2;d3;a80}nlz<;SHDQ`N9Q8jut4l5tVPQt5)YGAfWfy`Xy6Bw73Vm@xer|4VenPRn zqA@3W4m762OLl&L=g#koX_H0iV;tizI$~lRyxb8pIi6uPkq;}DBs2pY@?nAnJs^TD z8|!JS5EC74lgaH!6f4?##+LEvRQOK$x77r0bYambGsZy|W;q?ZfFQGZ5=^R43MD)+ z6i<$Qt^anS2UQ>elc`i$>dK&I$F<#sLe2x&ChT#9G~oMJ&o1ngsLNFmOi*H=P&BPU zE%f!18&NkWEbGE^zTUBW{);XJ1bwMMA8S@RNVDicF2Bdt*M5m!(Yp7|v1MQDVfLib zz2nWNI`Y#~z5BOQaVG)<*(#Jz?qZkt@@afP>W-7vV$y2Q#<~IOO|h;-EJ;N!4Tpo^ zU@8)hpk4hC!wy5Z)+7DJvtx7JcFpS9~Tv{OBpIM#U2D zk8XI`IcLd|InI}FIB@^{{6VN6P;wTAVBz=ve3qTy(=>t;n$`JeDcSLbsnk>E0m)Rm zW;_r~w&+rLE)V!M3z+;R)%Nb?WP5k7{P1TeUF_R`TC8z@?dLmK?~c#!(i*JSku2pS z--8$Fh@<%s*^)j0|Hg>bt>QjBE@Ipwk1==?343tLN;5Apv7hZkM!Shz~&+WynJAc08`uE`A{YtbCi2_ziC%N89v&j=UV=9qCt+GB%BC8;6h8AOLkTMEk zmx-ycsJ!u=#_~lu7w>+0_wJ|J&2VsFBTHw1WwLR$zLvoJ2*eqifiaekEnhy?+g>qu zZUvMf6i_~XSZe<2FrZa>nW!ptu~C5*5DIxY4HuAXNgnh}=7P5nA$+QwLt^``9#_+H z`mfOG+2|DlO&aD@zvygqs~}VbIiMpZi`#jGF-KZ`QT1chMfGWp>G|yL{OMzgD2xcf z&2eS^aeS+cMN(CcBrQxb--Af)ayk_`(~P!%i4=x2Cw_f+-HJeUbzsH1aM}F%>=s2% zM?Q*#8b&>34M=@f(d_9+*56D?Cr|Z%*N>-GXSyHS;W-Dk(&ZigO8Ro{e)| z{{oOe9gI!SmzU>HpVXWG_x(8bB|uKEg4`tZS&zOeJJplyEu|O751;DAFHVI{_uT2Y z6Ay~b#|bRYM44Q%QFaXTC?4xNd0&1-8@TY3-3 zAO33h?)O>J{;hv};kxBFUs|-Ta#}6_1WHvE^7Ha@@(<-7N99dz$V+mztm%#Hmv<&K z_OGe&&wu#3!(#WjKp8E2Vr{y2@G|Zkmfe#|!58R;hVaITt?gwBL01ilO z3ZFxoXLNL_9Mm{*e31+Tuo^8#Vy7NKITuBG1;>E_=_lK;$bl%VrP|4lA`n66UO>>; zpAzE?H7L6DBr}1{9C5%&p}?Iip-(U^m1ib7u@_Ve$B7W}G$G9eeN%KUjA3F2^CMpj zvrcdO;LWT-zsonhwPf=-f#p2T?lwu&)02+B5bsY<5-Z~UZ`Z}G%5qu^PJba{q69~t zw^lIQDm{`Y`26svo|_baJZrQ*Ve_>mGaE|ck`i1wfvGuDvl5*~yP@+UWrg#?xstWW=82!@sC2}|#8tq6 z1uss{tST(5%51I5b4wBzoR++2wv}z|>)jj-0_YgN!Z4Eqh( z#6fa_%rF{Q1v5Y;0ydA&QhX3^yT+8|J8?KE#u@u7&SESEi`)VT={;J_d%r;+;Wzwy z`F^YXkR>tBFoVH5i)5BB`N-3CTL!=3n-mH#v0$Eu)+w8El3a>)m8>vm`-(DXhJ*72 zfB;Ys@uq;74|>^vV{n17eegk})k9i06F*LvrJ-`HvSF-#DuPq%pM?4DF;&QKObL%2 zQT~zg`_%RrVb6)tnD(jjcNGXaiW=7y?3%yx$tQO{E`P}kk3X`5zd%pp6+76as&b8@ zU_*`m|Ge#d&-nju+s^jL|4-T;DkW>X|8HSt&z}Dqh|&C2D)4Sn=$j%~7X&3a0qO9yeGA>hr{%c;twgFkKCw@86vM zU*w<2r`PgL+@u=xvT6$`$KR7uhb^|n?gu0S&eo_F*ooTumu!(V= zZl~^Y-G1Fc-EF%2bl=lGMHYOq$2OcI`G_3II`xEo_ry70SQ(#iz^~oa@jCrH5kGmy zJ_W2ETHF<&An7^cLxTBu8f*fdiSj4%Pu%}i`De#ZJnPAUJ!rq_HRHOP=`LF}_A0y@ zcK)Ih7c197<+^uLSd9@EtJFHUXa_d*&MWN7@mMUd&Llst+&mekM4U0rm5xH)b?j@o zU;no;YHjSuk-J8pCE9(H$I~C>^+r80de;&59co*2;iRil))_J5r?v-tY{P*CF1zo{ z#ubhP(#hu%%uP%xM=f*lzl~ArQudG}>!_1ttj*QX_1g%DP)J0dO3L||o7^TqmPPqb z=F2lc$0-yW(U8RE2lYqdqG7P}v7et1?FU;>Igx^jJ4xB%bOYQ6I?|w14k+s==dU<; z5{^Zs#Cqfto>+)aAK}UJU*9nzr65A9=B8&Jkzf4YxyNp9V(f=EL6S{iM$R0@eaE&M z4V!+zgez}lMepqxKepqE9Xp<2xAd$tg0}G*%$2pH&u`p$#AdFmF&knf?ld;_aN(l& zFTCoXSF@GN2i|U7y}I@7{uOsJ-RJVT%LS{cINAqZ@*);^>|s`Lr`gbZ-|xqJBoD(z|^>f}mZ^yAq^oCu3R%L4-r#J=<4Ooig-dkn*oo4Vcpo!xc5B0c5-8YXx z9<_P$zK>ykW1Gpy#<}k7{oBM*k(&4D5!!vz1!Jx7UlbpNg3bzDughUkIULxV_62H7 z&e$4jd|Sm4Jm@!a1&{r{fX0m#A)izODZ;2mMy?5QEHV=2Dxs#qx*uFl*>@IxD zH>5q4SAJR4odE;XpDK=5V2K=Ie~qj!WP$M^`4y@88)$ge!Gkz5eC?a)b>h|P3>@nR zOyQ$H3SmF`hq^b=Cw`dw@Icyv>?c9K4I4K%+6W6p%q!19G?!yjT2)z|)GK&;jrWc$9ufXrw99RU~#s+9!Ivp!ekG66gjP#Z3p< zWrf^OC6;;=IT?@oUh;VTS#}W!29oPYf&h@xSz8^+;>fmI>_Mlz+UPYHjRvpLa46lH zZu48M>TN4U8H^q$+mm)p*k35lnP2Va9)nA77bL;(oZ$7P>9bePaOGO99DY~?A+KC- z-mr9PZ(_0`qco*pxjk{J(-z2b720ezb3uuX;|we_InI+FNlRV*h?Bv*SWI4S4un}v zz9?^bY)Xs`PKC2KNG#E26O$p??%<|$?upBF*=??Z=O0a3zA2%or)zrF-!YI6VZy1aKN#^Q>N zho*lbG9`&ZV$+_G-Q(;lDolHHrqg1Lj;r)Uxuzv^y@^Q<39iR-GD983og+!Pdc7f# zGkr>3ZE`q1HaYCi_gUf|WTxie_VRVhmI$0}{U#995sm{M1Psmu+(nVTFiG8&3NFY6 z0#d-lBW`Auh&UWFA}T#q3emX3@)?>wGE8 z8^(W`=#XZQZ^VJCzzb$w0n2^QY_AV6c`iuJ$LIU2sGt9MDY(51x|P|XznE%2NWz97{`x-sjWl?W*k(jiGvfG zDiDdSL_&N6#`n?<{w!D}jB=H_Aa-0RrKP7q%Q#T#ff)y|RTQm_5E7I@=;Q19D%Uf{ zC8OPB!tNcuieO*U0@L@RAnGN(5ofW--`}>4J-FefM7Q-&Prr^L!vqVlSbzYxi?9i!!v#fD(@+Ji>SV#- zhrj^|6jX77FNHXf^jV~GO~?b8NYf39?)r3}PJo~<{Mq1@w@`q%2GVhCca;BtyKn|< zXhe&f^^&dd{GQR2s6(}EvApiiIG-Rc&6Kv~rR66}htK`F{QgbX$ba3C?3jA{w|3`b zr)HZ(;ryT6vaLaMl&78Z<-=EJW_r@$Of2-8JihypoJ%i0FDvWHEzf;A#~$DC>sO1@ zX06G{ByTx$pz^MdO3wuHD4f|7ND{bIkzEVtS4P+LTdKKbNzU%XkR#1^2o^jl4*c@i zkC29{1%^*IPcMLXz>*_ytsO4p+`P+Gs}46yzb`8j?$VKy(qAx%uKT- zrgr|+jE#S()aTUJ$Hh8LuDF)imQ1(UeDk^*i`DCIW9Kr{?)k6De;iJ=#KUOuYS`xs zoY%c3KHl2kzvRjtxw$;X5g(h7U^S;qHTw2n{?aYOZHZ})IaB=$hUEr~U*<`x{vGMB zIH@WI1-e49IE7__@IRvQ?2sb|1@$Qf8OgCH^+F}um0fT-Y0Kv<)7!@Q<0VAPVkx~L3EgHnVH!c zsj)UT{*&!bw8WO~IKsTQ=B&usVtY;ACCk@aZ@x7F?j%!Qdzub`o>p)AYhG(JE_&ea z@~to2%nJVc`nMuE-etEA2dX6dX$S z?24eHO)}jB(9OOQdfE5G_7CJv$wDR0Q^|5=>Hqebte64SYEojbq#NTV`3J?vEy+FL zEa89kd}PpB?8F}|a{k-9_}%jC6GzBqs!*L>4#Mbv&Y~0vmY>t<^x^lPh7Ny)3d*x3 zs_eLta-xLK|A#w`4bv52eOrX}?JA-*0j;27Ag1Gi5TB44g=ctmEu!r-9mU|CVqzsq zf(9D4&=aD5m?c%PVO#);3D-sq!N=zI}Liha5PM|k0Bvc zhE$6D5LJg|Cey|;!$_e|zT*k6&1MgHpD42hX4*RBKfmVWv8g%EL9iPJojIwo-1(aP z=MLMENC zlPJHW__Pcs<(lHzEvY@WQZE{{;jq8doXPTUlwbHXIyc2-j2?T7WC7nAi#EDaa-%A-cnmns=lx&RbO@RAPk%5=Soykq1~<)B)@SZtN7-EqHFDoCGNR7m4^nhuYq9Tg)YmlhQ)6kbmT-1T^(v4)5SiTP=d47`;gJ!5Fx``YNp zd$)BP5c=8Z4a|KnnPL8=7_8`9Y zuK~nM0Zg)GW#R`jNPe9CPd0sY>O7ug0)&TeDZT%ml7|+=d>$juV8s{8ud#PO@BEBy z|H0y?`7~P46`W&C*()jdimRIQ))>^fOn&m3paOu*0Flg z(~H(Cxsd;KNqqA+P=(mDo@9pA&{4OJcXS`=KE*de6w41m zS8OY=Wq>RtCWKzuVnB~s-D?OjdSwft>=M9@P`DCd5(W=@1Il_&s}49BSbvbCiZKu7 zoMHu5XIJ?an5Gno35N*;4|X6BD2bW@l8)grnwKcjbN>ei^sP>^eOfPJ#S_D(gwGYI!YV=NrJx&muiF}3C zkd|Y$;4&VQF&&F|bTqD#=(3jA_^krX3jt|*QZdZv-x!x;ArzOHEl`|?)ybUsBt~6te+nqYz>vSY0 zOmjLN;VS->=yW)!8EDM+9dKG2PB!OHMvL9x@JIi};?MN@jd$K;N@9Me{AFUOJ=SCs zQtnJvD~s35??&as8l&hUgu_->bai}!HQF`K66^fd@>;jc%BwfZU(TB@G_IH6;do|2 z*X%X+jaS}WIrZY9C8lNPS9r@}3^h%=XFC@+ck)4Zi5*|9T+zTJxCh5)i>?z>+-ag1 zlbt4sUSUJRbbNL~VpW=Re5oT&6r${oczpaZPuS@&=ZAf;`mc*+e%c8s|B7_YS{Ob! zba!fDj-A90wXgur@8?=r)LB@(7M66d{iB8Th~KP*4Z1}<2P!?d3I5?tC^r0IDlxvsr=9`9!^0Xn{M8i6eL(Qq?p=at& zDr*RJv?G0=(rrD6Ye6iQ2LwP662wfN&*9^dj_}`n@e@lv${JnXYSOWDt5i)VvlImI}KE{+kkt zFj8u-^edxPgv{SmW>GIbvVS;&_X>?ew}17IKZiFAl#qZ^!acf6amI9&?rPWy+N-;g z5xR!ERY;K=m=WGt&CG&bnhoTpgE^rB7|mSF&0?_Vd08y{wZyXoNLwUtLO%i*>UNtOv}uKIl^putByFHc*Dy2u#9mVw>TOd@I|=&cVj` zJcv(jXJhOFb|KrrE`r;^U2HcbNiKov>K=9(yPRFYu4GrStJz+54co`|vjgl~Fv@lv zyPn+uA3+CUq5CFwnBC02&2C}0vfJ40><)Okx{KY-?qT<```CBb{p`E!0rnt!h&{}{ z#~xvivd7?V^$GSQ`#yV$JX+Fo>{S@i z{TX|m{hYnQ-ehmFx7j=F7wld39{VNx6?>oknjK{yuw(2)_7VFHtf~GEo{K(ae_(%P ze`24oPuXYebM|NU1^Wy8EBhP!JNpOwC;O6p#g4NRY@EsLB-e4qITyIdB@S*1H|o;3 ziJQ3v-hpf!h6A~iNAYOx;%*+pJ>1J;0=5xpT%eM zIeadk$LI3}d?9b-i}+%`ME5#h%9ruwd<9?0SMk++4PVRG@%6lkH}e+W%G-E5kMIsC zJ#_JIzJd4fUf#$1`2Zi}8~G3)<|BNRZ{nNz7QU5l=cIDdja$-mE^ z;!pD*@FV;g{w#lv|B(NPKhIy_FY+Jrm-tWkPx;II75*xJjsJ|l&VSC|;BWG`_}ly) z{tNyte~Tgu$p6GY;h*x)_~-o3{0sgU z{#X7t{&)Tl{!jiT|B4^yCpdIt`AIE`oLaLA^qzf5Brr;N{glr*4$QAO0e4#)9FHR^H zN`!z=DgxA_}lh7=*2(3b!&@M!T4xv-%61s&A zLXXfZ^a=gKfG{X*6o!OhVMG`eHVK=BEy7k|n{bYBu5ccdNVW@O!Ue*G!VcjgVW+T5 z*ezTvTq0a5>=7;#E*Gv4t`x2kt`_zR*9iNB{lWp^Tf()%b;9++4Z@AWLE(^alWwe&M^q1G;@uXK%~!u+%p?+})-hjslmcibZtxav+Lv6hg)HxVw88Kj~ z236H%q^2kZ_71f5h#kExoo0MY`(W2Ve`MIaX`pwsFVckeShOHjVA8^)gZhm_Z3FEQ zLo2!icVVQZQ^aprY#kWrG17%rcxiB`yMILA*3uUlY7uF9#rxiNefLNU7DCHNWXniX zSA?iQvl8Ci-9FM~#=Fk`rrt=$h*b?@$sCCcS=0xGGPJ4T4Wq*&-5py+`W8!fe>>8t z`LwW-*51+57NK5i+SJ`1888fXw~dSrMf8J_{lgD8Hz}4T@myU4VZ0sBr@34+S1muxn-!`*3p74oOm)$1Vrj|X|M%A0Kga+G=Tb{ z(zfKalco=rmo>X+Ll9+Xco4fc)>HxXc%`?~wJphX2DCE761qugy9 zM1=@NCh9g$=SATbZr_y!_{n;Newzc#|`rBKE^h4Mx4D=b=2KxFi-uk|l z&i=@Vd7{5Y2T%1QwGZGvvN;kNvEkDP2dT(5Ojv6NpfEC|R%X#2s0j|O;hQ2uAV*tz zqqOI)fuZhgL>=~;0P#(2fQu39$mZ@5z@^&p1Y`vE%9B-v_$E|7G$8auwu+d|!$z&i z!?uyG(Z1Ha4sG(Jb0~I?^HBv8dP`{+icZ&kzYDM;m$*Vq^ zl>|y=gZ9D3iEq`bCF@6lhT3{805MD&>fm-^Xn0uYYHv5T0vgbH{bFmRx7X4}-P(bU z9f_E`FpNzqbSpuc?*=6_I%rbv)FDwSa5kNW$mla-lmZ-QM2!xfnTd)44j*WZ=r<2x z&UZ;8EyF#-dSF!anW=TCJJQjHO^lf!SDhzP=g`3DAka#Gj|6}mZP&L(T7V&hw$Tv` z<=|HHV9THaKiz}kF!rxz8l9$A0BR2)ZeR$&#YcPjKrb-HPX@;`+GER!N6jA3M}8GRlZX`(O1 zJfR>asT!bewWvX*uP|?b+53mZ;ejE58ZJsUgA&5znONBfM6gDvuqLA20|1y#z<)cI zq}Bn9u|)%CN@<+{ZF(RaKLU6i!7gvm2uL5o*tY;90_T~5+q-}?M|)e1zzZ1X&WK&< zVx<|hbXnC$6;chfls5IXTab68YhW0iA2AM(c8}1A840MUMtvI=sz?MY%mA=5t(3}g zLZ8q&+TDxU(rHBIL0WfAEq$oHrN1qr?~AnebdOj%s7a`0Lj+BaU>)dE`d#cO?ubOS z4~$}lfxL!=I@5dA`5q|4BW)qSv~-3T(N#XWN0tGc7k%CGBuR1L>hY|AZH0@r~w6H(Zn`&H8Uw_or*%qB>}U#whBE%n}ybqHX@TFrc-m)soc#gzu>60&Z^YC75)QI|ID zLEM62Hqk|iK9z<#)6fpM0Z|Q<4gzojd4a~lbLUV?pS}Y$ZO@R<(%vt2l$4d&Tf0YE zf!KkK)nNc8>>aXOP7_nMNzbE$liw0tIVZhUr}$=&xdWSr4Vb1w1KsTs zCdTL%G_$*v)|TO(t%F$921bX5H;!Ua0673q8PInCE%!!5y3hhX(mf~)kJ8YF!v@;i zbZ?3Xt)rcMQ;)Pc(%m|MjYB{Fkf1DJSH2z7LB-q@7mQIqU}6pKRY`Dq6}GnzfF4k` zA6n;^m0LG~6bDtRv;@aqncoGP%W(%1qF+dDOik5 z!D3_z7E`8@V!F`V63SFUnMzPiumsfvODIPPqGQmzuQ!q?9!juDcjB%kH zVXdhR$~(#wF2j&?DDNm!8NDc@Ol6d*j9!#cHDy!{B%P7CjY3pS8RaOa9OaaQ;37zH z5hS<>5?llcE`kIXL4u25IpwIJ92Jyz$GYl1e9R}P#~ndpd17gApiv~$Ppr- z2oX?(icv?X7ZaA%cidafP%g0$hq9fkcSP3K2+z2qZ!T5+MSK5P?L9Kq6E^ zl?14g0OcTH2oW%Z2pB>H3?TxB5CKDofFVS{5F%g*5io=Z7(xULAwpjvn6|=&a+Fez zQp!q^DF+4}7s?T?KyM=lE|dd@ekAZhiUx7H2z^4|8PK^ zmVp|rg*ED&57Y$Ime-VOcXh%AYP6=-s53uMQ>MKy*X|SL)o9PP+PzM@*K79~>b+L0 zw^pmSR;#yGtG8CGw^pmSR;#yGtG8CGw^pmSR;#yGtG8CGw^pmSR;yP-nt?j4-a4(` zI<4M1t=>AV-a4(`I<4M1t=>AV-a4(`I<4M1t=>AV-a4&b4Yvj~+#0CY>aEx6t=H<+ zFl<1>uz`B5-g>Rxdad4it=@XA-g>Rxdad4it=<`0KhO9-gZkGMYOgEQURS8Su2BEF zLjCIsN-365OI@Lsx - - - -Created by FontForge 20120731 at Mon Oct 24 17:37:40 2016 - By ,,, -Copyright Dave Gandy 2016. All rights reserved. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - diff --git a/demos/streaming_asr_server/web/static/fonts/fontawesome-webfont.ttf b/demos/streaming_asr_server/web/static/fonts/fontawesome-webfont.ttf deleted file mode 100644 index 35acda2fa1196aad98c2adf4378a7611dd713aa3..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 165548 zcmd4434D~*)jxjkv&@#+*JQHIB(r2Agk&ZO5W=u;0Z~v85Ce*$fTDsRbs2>!AXP+E zv})s8XszXKwXa&S)7IKescosX*7l99R$G?_w7v?NC%^Bx&rC7|(E7f=|L^lpa-Zk9 z`?>d?d+s^so_oVMW6Z|VOlEVZPMtq{)pOIHX3~v25n48F@|3AkA5-983xDXec_W** zHg8HX#uvihecqa7Yb`$*a~)&Wy^KjmE?joS+JOO-B;B|Y@umw`Uvs>da>d0W;5qQ!4Qz zJxL+bkEIe8*8}j>Q>BETG1+ht-^o+}utRA<*p2#Ix&jHe=hB??wf3sZuV5(_`d1DH zgI+ncCI1s*Tuw6@6DFOB@-mE3%l-{_4z<*f9!g8!dcoz@f1eyoO9;V5yN|*Pk0}XYPFk z!g(%@Qka**;2iW8;b{R|Dg0FbU_E9^hd3H%a#EV5;HVvgVS_k;c*=`1YN*`2lhZm3 zqOTF2Pfz8N%lA<(eJUSDWevumUJ;MocT>zZ5W08%2JkP2szU{CP(((>LmzOmB>ZOpelu zIw>A5mu@gGU}>QA1RKFi-$*aQL_KL1GNuOxs0@)VEz%g?77_AY_{e55-&2X`IC z!*9krPH>;hA+4QUe(ZB_4Z@L!DgUN;`X-m}3;G6(Mf9flyest6ciunvokm)?oZmzF z@?{e2C{v;^ys6AQy_IN=B99>#C*fPn3ra`%a_!FN6aIXi^rn1ymrrZ@gw3bA$$zqb zqOxiHDSsYDDkGmZpD$nT@HfSi%fmt6l*S0Iupll)-&7{*yFioy4w3x%GVEpx@jWf@QO?itTs?#7)d3a-Ug&FLt_)FMnmOp5gGJy@z7B*(^RVW^e1dkQ zkMHw*dK%Ayu_({yrG6RifN!GjP=|nt${60CMrjDAK)0HZCYpnJB&8QF&0_TaoF9-S zu?&_mPAU0&@X=Qpc>I^~UdvKIk0usk``F{`3HAbeHC$CyQPtgN@2lwR?3>fKwC|F> zYx{2LyT9-8zVGxM?E7=y2YuRM`{9bijfXoA&pEvG@Fj<@J$%dI`wu^U__@Oe5C8e_ z2ZyyI_9GQXI*-gbvh>I$N3K0`%aQw!JbvW4BL|QC`N#+Vf_#9QLu~J`8d;ySFWi^v zo7>mjx3(|cx3jOOZ+~B=@8!PUzP`iku=8-}aMR(`;kk#q53fC(KD_gA&*A-tGlyS3 z+m)8@1~El#u3as^j;LR~)}{9CG~D_9MNw(aQga zKO~TeK}MY%7{tgG{veXj;r|am2GwFztR{2O|5v~?px`g+cB0=PQ}aFOx^-}vA95F5 zA7=4<%*Y5_FJ|j%P>qdnh_@iTs0Qv3Shg)-OV0=S+zU1vekc4cfZ>81?nWLD;PJf5 zm^TgA&zNr~$ZdkLfD=nH@)f_xSjk$*;M3uDgT;zqnj*X$`6@snD%LSpiMm2N;QAN~ z_kcBPVyrp@Qi?Q@UdCdRu{^&CvWYrt=QCD^e09&FD^N$nM_`>%e`5*`?~&bbh->n~ zJ(9*nTC4`EGNEOm%t%U8(?hP3%1b;hjQAV0Nc?8hxeG3 zaPKiTHp5uQTE@n~b#}l3uJMQ)kGfOHpF%kkn&43O#D#F5Fg6KwPr4VR9c4{M`YDK; z3jZ{uoAx?m(^2k>9gNLvXKdDEjCCQ+Y~-2K00%hd9AfOW{fx~8OmhL>=?SSyfsZaC!Gt-z(=`WU+-&Dfn0#_n3e*q()q-CYLpelpxsjC~b#-P^<1eJJmK#NGc1 zV_&XPb2-)pD^|e^5@<6_cHeE7RC;w7<*1(><1_>^E_ievcm0P?8kubdDQj%vyA=3 z3HKCZFYIRQXH9UujQt#S{T$`}0_FTN4TrE7KVs}9q&bK>55B|Lul6(cGRpdO1Kd`| zeq(~e`?pp&g#Y$EXw}*o`yJwccQ0eFbi*Ov?^iSS>U6j#82bal{s6dMn-2#V{#Xo$ zI$lq~{fx0cA?=^g&OdKq?7tBAUym`?3z*+P_+QpC_SX>Hn~c4gX6!Ab|67K!w~_Ac z_ZWKz;eUUXv46n53-{h3#@>IKu@7En?4O7`qA>R1M~r=hy#Got_OTNVaQ-*)f3gq` zWqlf9>?rCwhC2Ie;GSYEYlZ8Edx9~|1c$Hz6P6|~v_elnBK`=R&nMuzUuN8VKI0ZA z+#be@iW#>ma1S$XYhc_CQta5uxC`H|9>(1-GVW=IdlO`OC*!^vIHdJ2gzINKkYT)d z3*#jl84q5~c0(mMGIK+jJFO2k6NLvlqs#h}}L0klN#8)z2^A6*6 zU5q!Nj7Gdit%LiB@#bE}TbkhZGoIMXcoN~QNYfU9dezGK=;@4)al-X6K6WSL9b4dD zWqdqfOo0cRfI27sjPXfulka7G3er!7o3@tm>3GioJTpUZZ!$jX5aV4vjL$A+d`^n- zxp1e$e?~9k^CmMsKg9T%fbFbqIHX;GIu<72kYZMzEPZ`#55myqXbyss&PdzkU-kng%ZaGx-qUd{ORDE9`W-<*I${1)W@@_xo| z#P?RjZA0Ge?Tp_{4)ER51-F;+Tjw*r6ZPHZW&C#J-;MVj3S2+qccSdOkoNAY8NUbR z-HUYhnc!Y!{C@9;sxqIIma{CrC z{*4;OzZrsik@3eKWBglt8Gju9$G0;6ZPfp5`1hya;Q!vUjQ{6qsNQ=S2c6;1ApV)% zjDJ4@_b}tnn&43HfiA|MBZsgbpsdVv#(xMHfA~D(KUU!0Wc>La#(y%O@fT{~-ede{ zR>pr0_Y2hXOT@kS3F8L=^RH0;%c~jx_4$nd=5@w@I~NXdzuUt2E2!)DYvKACfAu5A zUwe%4KcdXn;r@iOKr8s4QQm)bG5$uH@xLJ7o5hU3g}A?UF#a~+dV4S9??m7ZG5+_} zjQ<05{sZ6d0><|ea8JQ~#Q6It>z^jLhZ*lv;9g|>Fxqwm@O+4TAHKu*zfkVS4R9I8 z{~NIVcQ50g0KQKVb`<_&>lp7xn*Q?{2i@S=9gJ(JgXqP;%S_@4CSmVFk{g($tYngU z2omdDCYcd#!MC-SNwz*FIf|L&M40PMCV4uTQXRtTUT0GMZYDM0-H5Up z-(yk}+^8)~YEHrRGpXe%CMDJ}DT(-2W~^` zjDf-D4fq2U%2=tnQ*LW*>*Q@NeQ=U48Xk01IuzADy1ym0rit^WHK~^SwU449k4??k zJX|$cO-EBU&+R{a*)XQ6t~;?kuP)y%}DA(=%g4sNM$ z8a1k^e#^m%NS4_=9;HTdn_VW0>ap!zx91UcR50pxM}wo(NA}d;)_n~5mQGZt41J8L zZE5Hkn1U{CRFZ(Oxk3tb${0}UQ~92RJG;|T-PJKt>+QV$(z%hy+)Jz~xmNJS#48TFsM{-?LHd-bxvg|X{pRq&u74~nC4i>i16LEAiprfpGA zYjeP(qECX_9cOW$*W=U1YvVDXKItrNcS$?{_zh2o=MDaGyL^>DsNJtwjW%Do^}YA3 z3HS=f@249Yh{jnme5ZRV>tcdeh+=o(;eXg_-64c@tJ&As=oIrFZ& z*Gx&Lr>wdAF8POg_#5blBAP!&nm-O!$wspA>@;>RyOdqWZe?F%--gC9nTXZ%DnmK< z`p0sh@aOosD-jbIoje0ec`&&fWsK?xPdf*L)Qp(MwKKIOtB+EDn(3w-9Ns9O~i z7MwnG8-?RZlv&XIJZUK*;)r!1@Bh4bnRO*JmgwqANa8v4EvHWvBQYYGT?tN4>BRz1 zf1&5N7@@!g89ym5LO{@=9>;Y8=^ExA9{+#aKfFGPwby8wn)db@o}%Z_x0EjQWsmb6 zA9uX(vr-n8$U~x9dhk~VKeI!h^3Z2NXu;>n6BHB%6e2u2VJ!ZykHWv-t19}tU-Yz$ zHXl2#_m7V&O!q(RtK+(Yads868*Wm*!~EzJtW!oq)kw}`iSZl@lNpanZn&u|+px84 zZrN7t&ayK4;4x_@`Q;;XMO4{VelhvW%CtX7w;>J6y=346)vfGe)zJBQ9o$eAhcOPy zjwRa6$CvN-8qHjFi;}h1wAb{Kcnn{;+ITEi`fCUk^_(hJ&q1Z=yo*jRs<94E#yX67 zRj)s)V&gd0VVZGcLALQ|_Lp<4{XEBIF-*yma#;%V*m^xSuqeG?H-7=M0Cq%%W9`2Oe>Ov)OMv8yKrI^mZ$ql{A!!3mw_27Y zE=V#cA@HopguAWPAMhKDb__-Z_(TN7;*A`XxrMefxoz4{Seu)$%$=sPf{vT@Pf_T`RlrC#CPDl$#FnvU|VBC$0(E>+3EG z&3xsml}L_UE3bNGX6T~2dV6S%_M9{`E9kgHPa+9mas{tj$S<&{z?nRzH2b4~4m^Wc zVF+o4`w9BO_!IohZO_=<;=$8j?7KUk(S5llK6wfy9m$GsiN5*e{q(ZS6vU4l6&{s5 zXrJJ@giK>(m%yKhRT;egW||O~pGJ&`7b8-QIchNCms)}88aL8Jh{cIp1uu`FMo!ZP z1fne;+5#%k3SM7Kqe|`%w1JI=6hJJrog4j?5Iq!j=b=0AJS5%ev_9?eR!_H>OLzLM z_U#QLoi=0npY1+gHmde37Kgp)+PKl=nC>pM|EJCAEPBRXQZvb74&LUs*^WCT5Q%L-{O+y zQKgd4Cek)Gjy~OLwb&xJT2>V%wrprI+4aOtWs*;<9pGE>o8u|RvPtYh;P$XlhlqF_ z77X`$AlrH?NJj1CJdEBA8;q*JG-T8nm>hL#38U9ZYO3UTNWdO3rg-pEe5d= zw3Xi@nV)1`P%F?Y4s9yVPgPYT9d#3SLD{*L0U{ z;TtVh?Wb0Lp4MH{o@L6GvhJE=Y2u>{DI_hMtZgl~^3m3#ZUrkn?-5E3A!m!Z>183- zpkovvg1$mQawcNKoQ*tW=gtZqYGqCd)D#K;$p113iB1uE#USvWT}QQ7kM7!al-C^P zmmk!=rY+UJcJLry#vkO%BuM>pb)46x!{DkRYY7wGNK$v=np_sv7nfHZO_=eyqLSK zA6ebf$Bo&P&CR_C*7^|cA>zl^hJ7z0?xu#wFzN=D8 zxm(>@s?z1E;|!Py8HuyHM}_W5*Ff>m5U0Jhy?txDx{jjLGNXs}(CVxgu9Q4tPgE+Hm z*9ll7bz80456xzta(cX+@W!t7xTWR-OgnG_>YM~t&_#5vzC`Mp5aKlXsbO7O0HKAC z2iQF2_|0d6y4$Pu5P-bfZMRzac(Yl{IQgfa0V>u;BJRL(o0$1wD7WOWjKwP)2-6y$ zlPcRhIyDY>{PFLvIr0!VoCe;c_}dp>U-X z`pii$Ju=g+Wy~f|R7yuZZjYAv4AYJT}Ct-OfF$ZUBa> zOiKl0HSvn=+j1=4%5yD}dAq5^vgI~n>UcXZJGkl671v`D74kC?HVsgEVUZNBihyAm zQUE~mz%na<71JU=u_51}DT92@IPPX)0eiDweVeDWmD&fpw12L;-h=5Gq?za0HtmUJ zH@-8qs1E38^OR8g5Q^sI0)J}rOyKu$&o1s=bpx{TURBaQ(!P7i1=oA@B4P>8wu#ek zxZHJqz$1GoJ3_W^(*tZqZsoJlG*66B5j&D6kx@x^m6KxfD?_tCIgCRc?kD~(zmgCm zLGhpE_YBio<-2T9r;^qM0TO{u_N5@cU&P7is8f9-5vh4~t?zMqUEV!d@P{Y)%APE6 zC@k9|i%k6)6t2uJRQQTHt`P5Lgg%h*Fr*Hst8>_$J{ZI{mNBjN$^2t?KP8*6_xXu5xx8ufMp5R?P(R-t`{n6c{!t+*z zh;|Ek#vYp1VLf;GZf>~uUhU}a<>y*ErioacK@F{%7aq0y(Ytu@OPe;mq`jlJD+HtQ zUhr^&Zeh93@tZASEHr)@YqdxFu69(=VFRCysjBoGqZ!U;W1gn5D$myEAmK|$NsF>Z zoV+w>31}eE0iAN9QAY2O+;g%zc>2t#7Dq5vTvb&}E*5lHrkrj!I1b0=@+&c(qJcmok6 zSZAuQ496j<&@a6?K6ox1vRks+RqYD< zT9On_zdVf}IStW^#13*WV8wHQWz$L;0cm)|JDbh|f~*LV8N$;2oL|R99**#AT1smo zob=4dB_WB-D3}~I!ATFHzdW%WacH{qwv5Go2WzQzwRrv)ZajWMp{13T_u;Rz^V-VF z@#62k@#FD#t@v9ye*A%@ODWm-@oM_$_3Cy1BS+(+ujzNF@8a7?`$B^{iX2A-2_nA? zfi2=05XV^;D_2G}Up$eFW|Ofb^zuE)bWHkXR4Jm!Sz0O?)x6QD^kOufR`*v0=|sS?#*ZCvvr^VkV!zhLF3}FHf%+=#@ae1Qq<4~Y1EGYK$Ib1 zg!s~&&u27X&4Ks^(L3%}Npx!_-A)We=0v#yzv03fzxKZ8iV6KIX5U&?>^E?%iIUZ4 z2sD^vRg%kOU!B5@iV{&gBNc9vB)i{Wa@joIa2#4=oAl|-xqj_~$h33%zgk*UWGUV# zf3>{T#2buK?AZH?)h>10N)#VHvOV}%c|wR%HF|pgm8k`*=1l5P8ttZ1Ly@=C5?d9s z)R>B@43V`}=0??4tp?Y}Ox0$SH)yg(!|@V7H^}C-GyAXHFva04omv@`|LCuFRM2`U zxCM>41^p9U3cR>W>`h`{m^VWSL0SNz27{ske7TN1dTpM|P6Hn!^*}+fr>rJ*+GQN{ ziKp9Zda}CgnbNv#9^^&{MChK=E|Wr}tk?tP#Q?iZ%$2k;Eo9~}^tmv?g~PW^C$`N)|awe=5m{Xqd!M=ST?2~(mWjdOsXK#yVMN(qP6`q#tg+rQexf|*BeIU)a z^WuJyPR4WVsATp2E{*y77*kZ9 zEB{*SRHSVGm8ThtES`9!v{E``H)^3d+TG_?{b|eytE1cy^QbPxY3KFTWh&NZi`C?O z;777FMti@+U+IRl7B{=SCc93nKp`>jeW38muw(9T3AqySM#x@9G|p?N;IiNy(KN7? zMz3hIS5SaXrGqD(NIR0ZMnJT%%^~}|cG(Ez!3#)*o{{QjPUIVFOQ%dccgC0*WnAJW zL*1k^HZ5-%bN;%C&2vpW`=;dB5iu4SR48yF$;K8{SY`7mu6c z@q{10W=zwHuav3wid&;5tHCUlUgeVf&>wKuUfEVuUsS%XZ2RPvr>;HI=<(RACmN-M zR8(DJD^lePC9|rUrFgR?>hO#VkFo8}zA@jt{ERalZl$!LP4-GTT`1w}QNUcvuEFRv z`)NyzRG!e-04~~Y1DK>70lGq9rD4J}>V(1*UxcCtBUmyi-Y8Q$NOTQ&VfJIlBRI;7 z5Dr6QNIl|8NTfO>Jf|kZVh7n>hL^)`@3r1BaPIKjxrLrjf8A>RDaI{wYlKG)6-7R~ zsZQ}Kk{T~BDVLo#Zm@cc<&x{X<~boVS5(zfvp1s3RbASf6EKpp>+IFV9s`#Yx#+I& zMz5zL9IUgaqrnG*_=_qm|JBcwfl`bw=c=uU^R>Nm%k4_TeDjy|&K2eKwx!u8 z9&lbdJ?yJ@)>!NgE_vN8+*}$8+Uxk4EBNje>!s2_nOCtE+ie>zl!9&!!I)?QPMD&P zm$5sb#Le|%L<#tZbz%~WWv&yUZH6NLl>OK#CBOp{e~$&fuqQd03DJfLrcWa}IvMu* zy;z7L)WxyINd`m}Fh=l&6EWmHUGLkeP{6Vc;Xq->+AS`1T*b9>SJ#<2Cf!N<)o7Ms z!Gj)CiteiY$f@_OT4C*IODVyil4|R)+8nCf&tw%_BEv!z3RSN|pG(k%hYGrU_Ec^& zNRpzS-nJ*v_QHeHPu}Iub>F_}G1*vdGR~ZSdaG(JEwXM{Df;~AK)j(<_O<)u)`qw* zQduoY)s+$7NdtxaGEAo-cGn7Z5yN#ApXWD1&-5uowpb7bR54QcA7kWG@gybdQQa&cxCKxup2Av3_#{04Z^J#@M&a}P$M<((Zx{A8 z!Ue=%xTpWEzWzKIhsO_xc?e$$ai{S63-$76>gtB?9usV&`qp=Kn*GE5C&Tx`^uyza zw{^ImGi-hkYkP`^0r5vgoSL$EjuxaoKBh2L;dk#~x%`TgefEDi7^(~cmE)UEw*l#i+5f-;!v^P%ZowUbhH*3Av)CifOJX7KS6#d|_83fqJ#8VL=h2KMI zGYTbGm=Q=0lfc{$IDTn;IxIgLZ(Z?)#!mln$0r3A(um zzBIGw6?zmj=H#CkvRoT+C{T=_kfQQ!%8T;loQ5;tH?lZ%M{aG+z75&bhJE`sNSO`$ z`0eget1V7SqB@uA;kQ4UkJ-235xxryG*uzwDPikrWOi1;8WASslh$U4RY{JHgggsL zMaZ|PI2Ise8dMEpuPnW`XYJY^W$n>4PxVOPCO#DnHKfqe+Y7BA6(=QJn}un5MkM7S zkL?&Gvnj|DI!4xt6BV*t)Zv0YV-+(%$}7QcBMZ01jlLEiPk>A3;M^g%K=cNDF6d!7 z zq1_(l4SX+ekaM;bY|YgEqv2RAEE}e-Im8<@oEZ?Z81Y?3(z-@nRbq?!xD9Hyn|7Gx z-NUw`yOor_DJLC1aqkf2(!i=2$ULNfg|s8bV^xB!_rY+bHA;KsWR@aB=!7n&LJq(} z!pqD3Wkvo-Goy zx1edGgnc}u5V8cw&nvWyWU+wXqwinB#x7(uc>H44lXZQkk*w_q#i2O!s_A?a*?`Rx zoZW6Qtj)L1T^4kDeD7;%G5dS816OPqAqPx~(_-jZ`bo-MR_kd&sJv{A^ zs@18qv!kD;U z5Evv$C*bD~m z+x@>Oo>;7%QCxfp-rOkNgx4j-(o*e5`6lW^X^{qpQo~SMWD`Gxyv6)+k)c@o6j`Yd z8c&XSiYbcmoCKe+82}>^CPM+?p@o&i(J*j0zsk}!P?!W%T5`ppk%)?&GxA`%4>0VX zKu?YB6Z)hFtj@u-icb&t5A1}BX!;~SqG5ARpVB>FEWPLW+C+QOf~G-Jj0r`0D6|0w zQUs5sE6PYc)!HWi))NeRvSZB3kWIW|R^A%RfamB2jCbVX(Fn>y%#b1W%}W%qc)XVrwuvM!>Qur!Ooy2`n@?qMe3$`F2vx z9<=L}wP7@diWhCYTD?x)LZ>F6F?z8naL18P%1T9&P_d4p;u=(XW1LO3-< z`{|5@&Y=}7sx3t1Zs zr9ZBmp}YpHLq7lwu?CXL8$Q65$Q29AlDCBJSxu5;p0({^4skD z+4se#9)xg8qnEh|WnPdgQ&+te7@`9WlzAwMit$Julp+d80n+VM1JxwqS5H6*MPKA` zlJ*Z77B;K~;4JkO5eq(@D}tezez*w6g3ZSn?J1d9Z~&MKbf=b6F9;8H22TxRl%y1r z<-6(lJiLAw>r^-=F-AIEd1y|Aq2MggNo&>7Ln)S~iAF1;-4`A*9KlL*vleLO3vhEd(@RsIWp~O@>N4p91SI zb~+*jP?8B~MwmI0W$>ksF8DC*2y8K0o#te?D$z8nrfK{|B1L^TR5hlugr|o=-;>Yn zmL6Yt=NZ2%cAsysPA)D^gkz2Vvh|Z9RJdoH$L$+6a^|>UO=3fBBH0UidA&_JQz9K~ zuo1Z_(cB7CiQ}4loOL3DsdC<+wYysw@&UMl21+LY-(z=6j8fu5%ZQg-z6Bor^M}LX z9hxH}aVC%rodtoGcTh)zEd=yDfCu5mE)qIjw~K+zwn&5c!L-N+E=kwxVEewN#vvx2WGCf^;C9^mmTlYc*kz$NUdQ=gDzLmf z!LXG7{N$Mi3n}?5L&f9TlCzzrgGR*6>MhWBR=lS)qP$&OMAQ2 z`$23{zM%a@9EPdjV|Y1zVVGf?mINO)i-q6;_Ev|n_JQ^Zy&BnUgV>NbY9xba1DlY@ zrg$_Kn?+^_+4V4^xS94tX2oLKAEiuU0<2S#v$WSDt0P^A+d-+M?XlR**u_Xdre&aY zNi~zJk9aLQUqaFZxCNRmu*wnxB_u*M6V0xVCtBhtpGUK)#Dob6DWm-n^~Vy)m~?Yg zO0^+v~`x6Vqtjl4I5;=^o2jyOb~m+ER;lNwO$iN ziH4vk>E`OTRx~v#B|ifef|ceH)%hgqOy|#f=Q|VlN6i{!0CRndN~x8wS6Ppqq7NSH zO5hX{k5T{4ib@&8t)u=V9nY+2RC^75jU%TRix}FDTB%>t;5jpNRv;(KB|%{AI7Jc= zd%t9-AjNUAs?8m40SLOhrjbC_yZoznU$(rnT2);Rr`2e6$k!zwlz!d|sZ3%x@$Nw? zVn?i%t!J+9SF@^ zO&TGun2&?VIygfH5ePk|!e&G3Zm-GUP(imiWzZu$9JU)Wot`}*RHV<-)vUhc6J6{w&PQIaSZ_N<(d>`C$yo#Ly&0Sr5gCkDY(4f@fY5!fLe57sH54#FF4 zg&hda`KjtJ8cTzz;DwFa#{$!}j~g$9zqFBC@To^}i#`b~xhU;p{x{^f1krbEFNqV^ zEq5c!C5XT0o_q{%p&0F@!I;9ejbs#P4q?R!i$?vl3~|GSyq4@q#3=wgsz+zkrIB<< z=HMWEBz?z??GvvT54YsDSnRLcEf!n>^0eKf4(CIT{qs4y$7_4e=JoIkq%~H9$z-r* zZ?`xgwL+DNAJE`VB;S+w#NvBT{3;}{CD&@Ig*Ka2Acx)2Qx zL)V#$n@%vf1Zzms4Th~fS|(DKDT`?BKfX3tkCBvKZLg^hUh|_Gz8?%#d(ANnY`5U1 zo;qjq=5tn!OQ*-JqA&iG-Tg#6Ka|O64eceRrSgggD%%QBX$t=6?hPEK2|lL1{?|>I^Toc>rQU7a_`RSM^EPVl{_&OG-P;|z0?v{3o#pkl zC6Y;&J7;#5N#+H2J-4RqiSK^rj<_Z6t%?`N$A_FUESt{TcayIew5oWi=jxT*aPIP6 z?MG`?k5p%-x>D73irru{R?lu7<54DCT9Q}%=4%@wZij4+M=fzzz`SJ3I%*#AikLUh zn>k=5%IKUP4TrvZ!A{&Oh;BR}6r3t3cpzS(&|cEe&e{MQby|1#X`?17e9?|=i`sPG zL|OOsh`j@PD4sc6&Y3rT`r?-EH0QPR*IobE@_fkB8*(886ZkjkcO{K8Sz$H`^D-8P zjKG9G9A`O!>|!ivAeteRVIcyIGa#O<6I$^O7}9&*8mHd@Gw!WDU*@;*L;SYvlV#p( zzFSsPw&^UdyxO}%i)W8$@f}|84*mz&i2q@SlzMOd%B!BHOJ<(FYUTR(Ui$DuX>?85 zcdzl5m3hzFr2S@c_20C2x&N)|$<=RhzxI!}NN+yS16X^(_mtqY)g*Q%Fux5}bP3q$ zxQD|TB{+4C1gL>zI>g~-ajKMb{2s_cFhN2(I(q^X!$H(GFxpc6oCV9#maj|OhFZaI z;umX6E*fQVTQ@lyZauuv>%E)5z-?zQZne18V5A}}JEQmCz>7^h0r)!zhinBG6 zMQghGt!Do5h%HmAQl~%m+!pr-&wlrcwW;qw)S$6*f}ZvXd;cHw=xm|y~mHbT3yX>?hoYKfy--h+6w9%@_4ukf0Et^zr-DbPwFdyj0VJHi}4bqRetSNR`DoWd( z(%n5>8MQl+>3SeL-DB@IaM{NDwd{{v_HMIO)PKO}v{{##c@ihB0w$aaPTSP4^>n3Z zC8Il%(3dCLLX$-|SwWx1u7KVztXpzNhrOZQ78c$jd{B9lqsNHLr*9h;N9$i+vsrM1 zKzLB_gVdMCfxceejpIZat!MbR)GNZ%^n|fEQo?Xtq#Qa_gEWKTFxSL4b{g}kJNd{QcoQ}HUP-A)Rq;U(***IA*V_0B5mr}Xp$q{YSYs-b2q~DHh z?+muRGn~std!VXuT>P9TL_8Km9G{doqRb-W0B&%d> z^3@hs6y5jaEq%P}dmr(8=f}x~^ z*{I{tkBgYk@Td|Z{csd23pziZlPYt2RJW7D_C#&)OONEWyN`I19_cM;`Aa=y_)ldH z^co(O-xWIN0{y|@?wx@Y!MeVg3Ln%4ORu5~Dl6$h>AGSXrK3!pH%cpM?D|6#*6+A# zlsj;J0_~^?DHIceRC~0iMq)SJ&?R&if{fsdIb>y;H@M4AE`z8~dvz)(e}BqUWK^U~ zFy`PX+z*Bmv9VxAN;%CvMk(#kGBEMP;a-GgGZf~r$(ei(%yGqHa2dS3hxdTT!r>La zUrW2dCTZ!SjD_D(?9$SK02e_#ZOxdAhO%hgVhq54U=2$Hm+1^O^nH<>wS|&<)2TtD zN_MN@O>?A@_&l;U)*GY*5F_a~cgQb_3p`#77ax1iRxIx!r0HkDnA2G*{l|*}g_yI% zZdHt2`Hx^MA#VH7@BEN68Y_;sAcCNgCY7S&dcQsp*$+uW7Dm@$Vl7!YA^51bi} z*Vy8uTj{neIhIL|PhditfC1Jeub(uy}w|wV5 zsQz)04y;BY2$7U4$~P{k)b`hZb>gv1RkD)L#g~$*N^1N1GfNMS)4r|pT*V<&KE1M9 zTh}rzSW#Kcci_#(^qf0gTW3&QN&zsW%VAQ+AZ%-3?E)kMdgL)kY~@mC>l?RH28u;Y zt-@_u^5(W>mDdtqoe){#t;3NA7c@{WoY9bYFNoq+sj&ru;Z`x>4ddY0y*`HRtHFEN% z@mFkp=x0C6zDGgA0s|mP^WNEwE4O}S?%DOtce3At%?ThxRp@`zCH6MyzM)dA9C7IP zI}t;YUV(Jcnw$4LoD4H(EM#!{L-Z|&fhNYnBlKcQ$UScR#HH>scYBTf2u|7Fd8q$R zy5Cbt=Pvf^e}m4?VVL@#Pi3z*q-Q0MG8pGTcbS|eeW%R5bRzKsHSH#G(#$9hj9}0O7lXsC zbZ7#UjJM^FcvdKK3MOEl+Pb-93Px}F$ID&jcvZdJ{d(D)x|*`=vi%1hdg(dd-1E>& zoB4U&a${9!xyxoT%$7gFp{M<_q z9oVnk*Dcp$k#jA#7-pZbXd=L8nDhe<*t_*%gj^Vx>(~KyEY~i&(?@R~L_e^txnUyh z64-dU=Lc;eQ}vPX;g{GitTVZben7||wttapene^dB|oSGB~tmAGqE^`1Jxt$4uXUL zz5?7GEqvmLa{#mgN6la^gYO#}`eXyUJ)lFyTO8*iL~P z$A`A_X^V#!SJyU8Dl%J*6&s9;Jl54CiyfA`ExxmjrZ1P8E%rJ7hFCFo6%{5mRa|LY zk^x76W8M0tQBa1Q(&L`|!e zrczv>+#&b2bt zuD1Bfoe>oW0&!ju$-LI)$URptI!inJ^Dz|<@S1hk+!(n2PWfi-AMb5*F03&_^29MB zgJP7yn#Fw4n&Rod*>LlF+qPx5ZT$80;+m*0X5ffa3d-;F72#5un;L$}RfmR5&xbOf(KNeD|gT1x6bw5t;~j}(oMHcSzkCgcpbd>5UN z7e8CV*di9kpyJAo1YyE9XtfV1Q8^?ViwrKgtK$H60 z%~xgAifVV#>j>4SN10>bP9OV9m`EA-H{bzMimEQ_3@VZH%@KZzjDu` zRCG*Ax6B^%%dyLs2Cw{bePFWM9750@SIoZoff4mJvyxIeIjeZ{tYpbmTk4_{wy!_uygk4J;wwSiK&OpZWguG$O082g z^a3rw)F1Q!*)rNy!Sqz9bk0u-kftk^q{FPl4N+eS@0p1= zhaBFdyShSMz97B%x3GE|Sst~8Le6+?q@g6HwE1hJ#X)o^?{1!x-m`LlQ+4%?^IPIo zHATgqrm-s`+6SW3LjHB>=Pp{i<6FE#j+sX(Vl-kJt6sug<4UG9SH_|( zOb(+Vn|4R4lc8pHa-japR|c0ZAN$KOvzss6bKW^uPM$I$8eTr{EMN2N%{Yrl{Z`Y^ zaQ`-S_6omm((Fih26~Bjf^W$wm1J`8N+(=0ET@KFDy;S%{mF@!2&1UMxk>jTk49;@ z*g#0?*iga;P7abx1bh^d3MoAy*XQp{Hl*t(buU@DamDmvcc;5}`ihM!mvm36|GqRu zn*3}UmnOSUai6mM*y&f#XmqyBo>b=dmra`8;%uC8_33-RpM6;x`Rrc0RM~y9>y~ry zVnGanZLDD_lC%6!F%Jzk##j%?nW>JEaJ#U89t`?mGJS_kO5+5U1Gh;Lb3`{w<-DW; z;USPAm%*aQJ)UeYnLVb2V3MJ2vrxAZ@&#?W$vW)7$+L7~7HSzuF&0V95FC4H6Dy<( z!#o7mJKLMHTNn5)Lyn5l4oh2$s~VI~tlIjn09jE~8C#Ooei=J?K;D+-<8Cb>8RPx8 z-~O0ST{mOeXg+qjG~?}E8@JAo-j?OJjgF3nb^K5v>$yq#-Ybd8lM^jdru2WE-*V6W z>sL(7?%-Qu?&?wZNmmqdn?$FXlE!>2BAa^bWfD69lP0?L3kopYkc4>{m#H6t2dLIEE47|jcI$tEuWzwjmRgqBPkzk zM+(?6)=);W6q<2z95fHMDFKxbhPD-r0IjdX_3EH*BFL|t3))c7d~8v;{wU5p8nHUz9I?>l zVfn$bENo_I3JOh1^^ z+un~MSwCyixbj%C?y{G@G7mSZg_cf~&@djVX_vn8;IF&q?ESd=*AJHOJ(!-hbKPlb zYi-r+me!ezr_eCiQ&SetY;BocRokkbwr=ONGzW2U@X=AUvS^E9eM^w~aztd4h$Q&kF;6EJ1O*M7tJfFi}R1 z6X@asDjL5w+#QEKQE5V48#ASm?H7u5j%nDqi)iO@a1@F z*^R+bGpEOs#pRx9CBZQ}#uQa|dCH5EW%a3Xv1;ye-}5|Yh4g~YH5gI1(b#B|6_ZI; zMkxwTjmkKoZIp~AqhXp+k&SSQ)9C=jCWTKCM?(&MUHex;c3Knl(A%3UgJT_BEixIE zQh!;Q(J<0)C`q0-^|UdaGYzFqr^{vZR~Tk?jyY}gf@H+0RHkZ{OID|x;6>6+g)|BK zs6zLY0U>bcbRd6kU;cgkomCZdBSC8$a1H`pcu;XqH=5 z+$oO3i&T_WpcYnVu*lchi>wxt#iE!!bG#kzjIFqb)`s?|OclRAnzUyW5*Py!P@srDXI}&s2lVYf2ZCG`F`H-9;60 zb<=6weckNk=DC&Q6QxU*uJ9FkaT>}qb##eRS8n%qG`G9WrS>Xm+w)!AXSASfd%5fg z#fqxk(5L9@fM};~Gk^Sgb;7|krF-an$kIROPt4HLqq6+EL+62d@~4Hsy9nIU?=Ue4 zJ69;q+5+73nU|TQu}$>#v(M&Vx1RD=6Lu`d?>zHN?P7J&XWwsvwJt|rr?CZu+l>m4 zTi^VLh6Uu2s392u(5DLaM%)Dr$%h3hRB>V7a9XG`B{ZsWgh4IyTO9R~TAR^h^~>ko z(k|Hy#@bP}7OyN92TKE%qNZfyWL32p-BJf1{jj0QU0V`yj=tRospvSewxGxoC=C|N zve$zAMuSaiyY)QTk9!VmwUK&<#b2fxMl_DX|5x$dKH3>6sdYCQ9@c)^A-Rn9vG?s)0)lCR76kgoR>S;B=kl(v zzM}o+G41dh)%9=ezv$7*a9Mrb+S@13nK-B6D!%vy(}5dzbg$`-UUZJKa`_Z{*$rCu zga2G}o3dTHW|>+P_>c8UOm4Vk-ojaTeAg0-+<4#u-{>pGTYz(%ojZ`0e*nHo=)XZS zpp=$zi4|RBMGJDX{Db?>>fq71rX3t$122E;cJ(9elj+kBXs>3?(tq=s*PeL^<(M$8 zUl;u9e6|EP5Us-A>Lzvr+ln|?*}wt;+gUmd>%?@Wl@m%Qm{>Q0JqTcxtB`ROhd6TB z$VY<7t$^N6IC(s*Z@x2?Gi%eB8%(hYaC zKfY5M-9MeR-@5h zZ?V`qr%%FlPQlW5v_Bp^Q?^)S*%Y#Z$|{!Lpju=$s702T z(P}foXu(uuHN!cJRK*W-8=F*QlYB*zT#WI-SmQ_VYEgKw+>wHhm`ECQS`r3VKw`wi zxlcnn26L*U;F-BC9u{Csy#e%+2uD$He5?mc55)ot>1w`?lr$J zsrI^qGB@!5dglADaHlvWto@|S>kF5>#i#hCNXbp*ZkO$*%P-Sjf3Vc+tuFaJ-^|Ou zW8=}1TOlafUitnrTA2D0<3}&zZz^%y5+t2`Tk`vBI93FqU`W!zY;M%AUoN1V1-I2I zPTVFqaw3Pr-`5HcEFWuD?!8Ybw)Y>g7c0tt=soTHiEBxlY;RlQ`iYY-qdd94zWjyD zFcskM^S{_!E?f3mEh9waR7tb6G&yl%GW%e&Sc5i;y@N)U5ZFLcAsma^K?Cg^%d{PO z=SHQq4a|l`AakzEY;A{n6Rn1u`7v~#ufV*6GZ$`Ef)d2%6apsU6^>QJl0@U& zq|wIBlBAgf0j!YaozAgmhAy0uy;AjRA2%(!`#&e>`V` zg`MfSf5gWvJY#?8%&|`Aj0<@aZ;-q#tCx=-zkGE|_C4)TqKjr-SE6po?cX?Z^B%62 zdA!75;$my<*q)n@eB<^dfFGwRaWB25UL#~PNEV>F^c+e2Be*Df(-rIVBJo2o*an$1*1 zD$bsUC-BvObdmkKlhW<59G9{d=@bAu8a05VWCO=@_~oP=G3SmO91AK_F`#5 zwXLRVay<~JYok|rdQM-~C?dcq?Yfz_*)fIte zkE_g4CeLj1oza=9zH!s!4k%H@-n{6aB&Z;Cs8MK?#Jxl`?wD>^{fTL&eQHAQFtJ_% zNEfs|gGYh+39S{-@#MrPA!XpgWD;NLlne0-Vey1n0?=ww18{L)7G|$1kjI(sjs z@|alUMcx*04*>=BWHv_W-t=rCAy0q6&*;kW&ImkwWTe$lzHJRZJ{-{ zl-mK6+j}V`wobm^^B&2Tl?1r=yWbz;v-F<#y!(CT?-4K(($wWtmD631MN9?trDG zMI7;9U7|UsC;urLP%eH1h%U`LJxT3oM4=gpi%X@lpVR9N6Q(uhJ00RWXeL-Z*V(O8 zsIyyVUvf=RXLBKX`!peifjIMvMs1YT0n$0*B;K^yZf&HN8$N%e=EgOejqihLPBT|< zs)z`nNU}BOdT7wYLy}R10eXUksn9o)jG)&=qteGc|XNI~h5R6UBfaPeIHbA32@*>orZsCB4`Q79}A=z@najfekt-_eTg7a}Mcas^D1ELlN6(y28c{ur|tmueFvIDOQxXs1)_lKrA`L2-^^VNC#miFvO%l6w5uK2bFyu?hyNLCjTCNRRVW^i+GX``giwc&TpV~OHu(yN&o)r2$K$1kjh@>iP z^&`?sCk#?xdFX+ilAb(;I7<$BQ#6j*jKsu%LEhQKe=>ki^ZICepr3#_2#pE`32i4Z zu%eXsgL)3x3Q-^OPPRhm<^!TEPoek6?O^j+qLQ*~#TBw4Aq~M2>U{>{jfojVPADAi zurKpW{7Ii5yqy6_1iXw3$aa!GLn|$~cnvQnv7{LMIFn!&d6K=3kH8+e90Zq5K%6YfdLv}ZdQmTk7SZ7}>rJ9TW)6>NY{uEZ zY^9PI1UqUFm|h0Vqe60Ny=wCFBtKb zXtqOa3M?2OEN=zDX7z}2$Y{2@WJjr?N`auMDVG9kSH~FjfJRNfsR@yJQp4cQ8zaFkT4>5XQqSVt5c}`-A#Z=3-_mGZ^)Hqayei zhJ}wgZ5UDln%)!;Wz@u=m(6C_P@r9*IMPe7Db`CSqad3ky-5-EcG=*v8J&{RtLJ(E zw2h-ghGYcDtqj4Z^nU7ChgEXO0kox=oGaY;0EPqeW89T6htbZg4z!uU1hi;omVj+3 z0B%$+k$`oH5*SeoG`Ay&BAA%nAUjQxsMlNdq8%;SbEAPVC#qm!r7j75W=A)&a6)3% zdQq$fCN;@RqI!KPfl9l=vmBFSFpD1cAxb@~K-$ZIlIL3W}?#3+|2p{|vZVq`YA zMbx|Xl57kJVwoetAo+opiewCkCIO=uBLEaG+!0U$MRdReNsx>+PIJWN6dW)pfeZ(u zQ8ei-Ht69)ZV`qv=vmorhOkF)Squ;)8AUfh<7A_xI8FGHMRW>~%o`1Wt3|8IMrM%& z8)|@=#ssro9=f9HtN0F#O085{Bf6PJnurfzS_yg?qqszmnQIYDP{N=xqPfvl;VNsK^qpoy2&App~Fe(MB7KCI)$p1!&YEB&%$9gTk zmvlt?t7!>_paNt_fYJvw^~LCqX{4opLy!n)md7}<_s?`gytfSAdoScQWTy&Tbr&~( zg9myGVv)l|4-umFBL0)Y(d}Rvt11)(O4ij#zeao~K$vh~JDn0_@3RjP2M0|79T&9+ z?>Vx&M30Sb15&<{RtpeYUf|n7n5GHyc+-FtA=7H$p6Mh=&M0O!so)tze7#WT>pp|x zfWae>0++DfscU2%>|@oiCQj+6O827)1}KsN^a>NSI*4?#ylfG-{q?3MMXX$dUH^S6Ni=Ve1d0(janpz@WqGJ?cG&sewpq294Qa zL{huwuoARdt5F4Dbh#?<2ruzSS{VeDAOtY+52t^xJW=!(0f3P&G3Cs^%~Q~~Wq{YA z!QrEk#>oXK{sc&Z7VB1_>fA1^#YyU1Ff<^9G(!V0!JW`n@EDdj$$2SVK6*7$!BvXP zmAC;h-W75(Nnzpro3CE9eV=~Lp7yS(vXnk@$g3{R`!(UG013==W*Hj{-*F!ujl+np%IX?E0*I&-K^u zY1z1I!`iOu+Ll`UtL|F6Vb?~vk=x9w6}eE^*<)O?pZQ#8YKE#b($x>w$3E*F0Kfk zfnyCo#zOpX1(P2yeHG@fP7}}~GB|&S27%6=@G^V=rmeTB$(w9rC6J@uQmcAMq zQ=Ce?Z0RkF_gu30<;5#jEW32il2?}$-6PZ?au16Y)?kUFy3L?ia1A@%S3G-M`{qn8 ze+|6jh0vqfkhdSb0MvIr!;;*AL}QX^gkc+q0RJ4i9IyOo+qAyHblI+$VuZ3UT7&iIG7640a)fe&>NOVU@xZ*YE`oy!JGMY%j}bGq!= z`R5xY(8TK&AH4b6WoKCo>lPh6vbfu1yYy02g^t9bDbexN!A`*$M5`u&}WqF?+*m?ZoW85&MFmXqQ1J{i;_Oz>3*#0?lWa zf?{tv`_JzP7D3x2gX&ICRn(aR$#>;ciH#pO?<*}!<}cYh_r{hb6*kkXSteV>l9n6i zwx63=u%!9MdE>@2X)3$YXh=DuRh~mN2bQFEH&_nHWfU{q+4=t07pt+Jfj90Or;6JX{BCQrE8bZe&wi3fwEXHRp zz8{VAmxsWU)3nT;;77X7@GCm7_fL1p_xKEG&6G~luO;Bc3ZIa?2b(*uH7qJ!es71c z{Buj4(;Jds$o78u<3df_2~DLq`e9*$SGmrR9p2OoVB5Q(KL3M{1>eq+;+lHK9N?xvyBPHni<#j$sZK{QrKEcdR9+eQD0V? zGPaq!#<-c#a>t4bt+R#Hu_|}dlIGeve@SR!d((u)Ga45+BuhHfA88G0cPrw>>(`ID zZ;aIyn|qmhuDXBthoW{J(WN+`Yud=y(wvd0rm&1*4>6?#8&)Fz z&@V=a0w4)F{^!&W_l6<5xg|-0F!~>aCALbeVsZTd*)M*^tr*!)O8w)mzKThWyQW@X zw%BFs5_@CIic5EPcTJu8=CmynV;``)3}gJ`Vl#VY_3Yib@P-KvBk_%!9OVu#8tG|Nc4I~A>8ch-~X%M@!>yk~ERI|QEcwzgI66IaaY>gx0~lm<@f z5-k^OY#SGC80Yr-tDRP(-FEJ{@_4LHsGJ=)PKZ@`eW75-r0ylN%0Q>&*M;@uZLdJ$ z)rw7Dt5ajr;P;~1P>jID!><(7R;w|Yf}qI&8klT?1dTfc@us5mKEe;qw;YKR(cp-D z6NmUMP8x7cM%~ytE@l*Mp^oN*mCF`gRNhw3gpO1PVi_^JzCJo>#mX(q+iJ(Ts$5=! z13b45gILEULS!=)SmZ{qsC1)$8-4eADGR?v z>~4k_SvdvPHAC}=4(!I^OLgQ@9EMDE7d$PvJbi+K%-HTh`P0#Ea|Jm6zj> z?R)(YWtZoIRx>AqzlG1UjT@6ba>yE z{Wf<5moh^-hu;ptAtPG}`h$4PWcOn>vy`#bH#Ss>OoAEE1gIbQwH#eG8+RHG0~TJ$ z>`C`c7KyM^gqsVNDXxT|1s;nTR&cCg6kd<-msrdE5Ofk=1BGDMlP2!93%0c@rg~4` zq)UFVW%s|`xb>;aR@L^*D>nkSLGNmM?cv)WzHZy3*>+*xAJSX;>))*XRT0r9<#zIpug(}{rSC9T$42@gb zy8eb6)~}wl<=or)2L}4T{vum>-g)QaKjtnp5fyd^;|BxHtx~2W^YbKq1HfB7@>Hw@U5)?b^H=uNOpli?w6O#~V`eG;`irLcC(&Uxz`L_Cl zS8r24e*U71o@dV6Soupo-}Ttu*Dk&EwY`h4KdY-k55DSqR&o7nufO)%>%s-Es^5Q_ z60#cReEy=$4|nW)bLh=|4bxW4j}A?qOle+wjn88oAeYb~!eA+EQ;8Ggp-UldAt$3M z7*E590amz>YB9L(z?Xx&?I37XYw?Os-t+05x6Z4vkzBE6-hrbB=GAB?p{DQXV4CKg zls@_wh*&XC<3R(CEZxg8*Y(6a>cIOq9Nss7{=UQ7Nv%O_WxSyBqnH{@(<>A&2on@z zn57W4Dh*E)o#rJ2#tyxV2;C5#rl8%%As$4qB=IbMt-z|jnWi>>7Ymq37;AW!6Y4nx z1Ogx#!WVdA92mEipgUxzy_?ddg|x)KOCyK)P5v@usc;0sN3{=0slt4CuwaxK@20eO zhdp~Z8iJ7GWrkq_-X`~(eBpthn9|`tZEUCIGiFpJjjxPVE9I)#z3Q$3tw`a69qxjuf+~ z*?v>d5~pcH-AQ~0)8PyIjumD^?SM8!Wb>KZoD7hOlc2nA0_(eG!in>}Ru}>6)>5 z@*}T`Hw{I^-?PS9>(#UFBQpW72* zsfj(2+_9@5x+57aN!`e`f(Mp_I(D>}p8)@&g^g+X1%d{ z%X5boE?hEoj0CiwTh9)#8^?~;|wgor_=Z1BI9_dI{ z&t*f95n?ZgZ5CnQa!v(p|JT?y0%KKgi`Smi9k5r!+!Mkz=&Z$%CFl;?AOzV`YBKrY z0#Y6~J6&dA=m>T@TYb8ukaV4z^Z?VX*MCKcp13-ye1*`gAj_Tm@r{fpm?K!U@Xg2AfndEo6jZN} z=XK0GRNXVLW2c?}B)rH^yR>u}b?|p(W$!TkQTAgu1AIG>MFfNchMQB_^-AQxRE$Th5-E_tBP@v(Cy|ojjP5LEU|JrM8 zVF5;$>Hl^jlHWDPChrTH(vh%bARyj5#TPb>omAs-)4zN z9?9(wybd0$Z5s+}Fiytv}-8U`IC<{6U2_NqEAkv;7lys5Qcq3EKt z0-!^Xy3idllgZ~qX^QTe=i*oGUCJNk>Y26?+9U(Ks|C81S{-v+6ebc`c(yibQbuB% zxM7mk>}dI-TfUi5Jqdu6b`4SqF)y5humuCaHhssdcR(jKf5ZGprx;Oe7VG#G6TA1+ z8oZLl<+ey(L+$Qsck^4fi{I|)p15MX73gHFUU!l${lN{)Ht_Wb%j#UE6cZ9}Wq^>+1wz z9TBA@%f~tby^0YWafmn&8Ppjn1Ng{d;S01WImtMzV<`!zU7;+8e-Xko>qM^OfOZ`Y zEZG#vcm>EGF??&G6+v(3l`X(xMn8ESv=@LdMfdcxFi%g1?0HDPG>blldR`OLlWN80 zz<$t+MM9%1K~JT@#aBZjOu9*G{W$u7cqTM|&a1)0wR8R^*r$<&AhuCq1Z{-aUhc5P zdyaaK{$P=Y6R{40FrWmLbDOCijqB(1PrKlnL)Tm|t=l}toVLAZOXJ*~-dx|_A&o65 zskcpT@bs+d@ia`f)t8ivl{(t%H?O?;=^s3O^GXqopx7E3kz06f^UQq<>gyNmo4Ij; zrOxuzn{WOqP75~PwPXC;3mZ#YW1xy&DEXsl~)u4`-v_{*B%R6xNH3* zJElz8@d#i4`#JV(ko%x;u{LMqLEEDmwD*(ccB9Wp;u*9I?=sC7g>%L{%$4m#zhbjm z)gK{LWQvE1>_yl|4T$nYKNVZ<)vza7FKU5*W~4)KNgN@;SA<9&ERxIfA&UZnB=r%N z5YD4fY$9Mkzy}!G+`KUy>3l(FSi1 zw)t)*w$E4#ZSxfm3cZLC(o3aQQ7uHk>_@fMTHoM0=quh%mfN6%{`O($pyzg0kPf=2 zjA%M7bRl4BhV5{{d4HbnTh`HM&YKw@N~47e7NFGr*9Yzi(7XQl-FJb4hPEKOC!K2x$nWy>8=PJYE)T$=Cqe(n*ChZE zklF{Ms}h0Jd|@o;Gz(~b;9d&c#0O^j{1?tF5dtMj9dG`|j0qZi^aF1r{<7KC5hZ`E zNX2nxJYEr@>u86|tPjTDet;fLn1R+IOm6&3b*}TOyNpIaid@W9c9!jIfiJOgK-aw=xb5Kpb)`E9x%CU82 zEQg_v`e+tWYClJHl=_EsSW?LZO3)o#ox(#2UW9|V7I8fYnz5fRtph`u)dywWL9}UV z*hdU9-BBK5G&}j~O6&dSdWDIpFX;&Or5wNbm^Y+A-x6(K$$Of6JTVl9n0gFY&=T5p zZX?pCxA&w{J)eDSfb?Zh*LT#AdiPlB;A%p|-`Aw6RP2mYTh zLmL~zM^VS0V@*4LkOEG~nQR)HyRB+;*KWli%QqKt&%16HWyMXRhtwdCgyoTm*5#itgp(Wap66 zyr-dgKgjl&t?JLMuw}!Boz)TOa2|37p^FAcPmxX0apWmfp$B1WF_@-dsK+?1F6~yY zEwi!-))Q_CbOP%?p%bx|=d^nLBig-_$e!nh19^Ps`s{SNq{nnW)V-qnz3y+Ipd7HS zsb}z%!+}y8izoy>Nyyj4m_br&8TGFcze#gP4?v*NEdl zzGBLM4qpvdu;5vCFi9^zXU;sW`>pPi|NFD# ze=$xI@7q9B4WPsw4CAO~UJ(S)s@u41E>#9D>!?=*N5m$%^0E` z<0RjkAj02TN9RLX3Js+GArg=Nu>E5z zPa!vMuMV06#7$1dLbwv+VGT(5V_&A~Uy3T^+|y~Q2>lA|=hZZ)ex%G`rhkN54C5gq z>w?qN=A+LgB0-@s{OJs7Da|z%dK)uDH4?m5Y=K(N5KWL)uqDxwBt>QmOk(h~1u6_s z>9x>G_+@bJhBQ;(Rr?20>Tjn}^Y`|rQvI3Ua5$aGq{HFf4BhwAFVk2oHNbk)hmAri zjQ_!g*-c^AKM>A@je&H)i1PsJ5929F<8bLXvONK4;-n6d;Zm7Q=G|k6Fp*AY!b1a`eoS*c zF413z6`x;!NZV1k5)sv;-Dqjt?t&|JLNGSA2yWhU-RYC^oiWI1+idw;6*>m1&Io`^iPgF6c$sN zw9j3KFYs@%*HNz1Jr?F^RiLV%@DyQ^Dnc1h&59pWKhD#AMQV~3k7}>c@gdw=dyRf5 zHGNU7bA_hHWUnI-9SXtjM~LT>U5!uS#{ zKSOhB>l^nUa&S8kEFoAUIDG}(Lr#|uJCGb%29Xr>1S4yk0d)9hoJ7#4xNbi?5Dt?N zBp45evje1L)A;&Smy9J8MJe@1#HwBFoYPv$=k%GOaq!kd58)tzBI~EkGG3Rqy>GOTce-p>jH0rb~c(K z1|9q=$3)Vdgcwyvy&>S3p(f~O;~?XK{)Kch&2!gs=%kNH#-Ee-i}S+a@DNWR(Xnv< zv7kIUUD(c?RS|JmPeXBC6cbxUl6qRxl;fFAiK%!>EzFa zJ$-mz?G%WqC+P-l!DLX&nfxzGAnLaFsOg^Vq~gaW2QQ<(qixj#J=;Y{m`?kHkfO)i zdxQ*`2Jr3iXdj4QE%|AlQ;|Wx~pKrr7xuNnTe=t-AO)iha6xDYpH}>yZ z+FD^H2VS0x4us;Wo_95^kElZ$>j2HW@wyeLi3i%Q28NXxQT7V1{iHY}Llc~!Dkv8* zM><6X$}-pv0N#?+N%W`5%}K0Is%8kCOC~LuR6+;gtHYPi9=dqUoin~Q^MhE;TSIe$6dEI=Xs(`oTlj_C-3c4KT+wJvpu4Kkn_RZVg5jE+RF`XNx?0xmaV~bW?v}wVTXn4{5 zO&2X+*pF%!%qu@3SLRk-npU5?`f_cV9;|pa#ktlD9VuvRx;TK+fWUv_$vC8-@TcO4 zN_-D6?7|-4!VWMEgQ}TUe(c3w4{eyxe8C5t7pS0MFe;X@U&B?sVDIGR;u>?mPyb2F zV5WLiQ2mX&1v=E#B`oe9yk4Y2^CFRk8*rV6k1!uW{m47&7E!m%(ANz&+ixrB^ng(;#RLHnX%tfsjJWM- zyBo5Of=eNl8*;gm`ozE0weGdP7~Iz5$$pI`$C5 z`U46T|8cnpt;J+VO?%~H_`Ph??bcn%Jzu`2`z~tc^PoA?r znJlfFuxIeRC?a>J?C!EC2Bn;dnhn3XeZ}sbjb-10*a7A?aS00$P{m0wm zO_v_`nJOwO*k6S$tHR@xmt`N`;fR%l>^^ZvbfRm}PUBtryK5pTwRdIZgj<#_irORP zr7I?yj7m&+KkD(;PKtLXmF-s9=>`j_AFjI$YN7_w1g7hD(md1~ysZj9;u_Y4i3Ssz zgRH~g_UH9AHR4A!67Z@2zch=Odh*4WzWc2=ekK0-ueW&=xy{z7Gz9CSbv}Pk+4ST# z#ZxnW&!Z1tS0A}`@LT_*wh{sv=f-Dy+2cPoUi{nzYTGjx)eit9s#G5^D0+(|iNBlJ zV$vUX35MrZ8K19VAN|i75_}Z#DO`R~MZQy~2$6gqOvN0Js%d70SzJm|ER&Jy5k>-I z!fh9^fC*zr22w0EG6&Uqo`eqC7_L8gi(#?!A>;y86ak0F7|oHQIhmW!15hHkZ(*|o zF+vd5r!A(imA-b0}qc4-&FS58}j>!?PW$SEg*;W8H~a^e%b?2`O8 z*`i%!x17FmIo=X;^83K2Y3Hja(b_rMns6%ts^>=(bA-9V<9O1I>564?R3a}v1yYtH z*l6T7AY0T66-95WtZgaP8(}|MBGlfNdh@=~Y1m!IA7($BPUtE`qT@h@;M3Hd z;_dtQw^?1x7-WaPK4XDxuqd5+qVz|PQlALGw|x}&MFa4RtVSK`(e|RtFN=u%s&M?) z7+HD3$diG_iYZuX{0ijc(*2C7cTX)p*3LRRtn3r@wq>%<@A9jY)yX*dv zSq7pIH0)jCA$)wa^7RfPVlWXzzoH}vzHmu4?W&f|zEC#fi<;dYS!Z*G+=!O(wLx7} zkfS~!6{@R-(Uw86L(mJl7`6&&tfKDx<)c+WIlqL)3pSX=7*`N5ysyr`8ap$bd^E3w89)ZgPiCBi|f{Ji^U)|AMCk%95n_gVk3|_XmE_Z6(keo8NCgI|@0sfZs3_s1} z$KK|ZCF;AE#cQiOrv*z^HWTBHM`H8Hwdx20FDq8lu^{(Q!@5s%Urrmi_ZX=7)j%7* z2x#|wO+pMI^e#2DpLkU+erWUorFxiNlu1s>XIg^5wIEm|joek2Rd2IsPtNkBRLQTFsnoh4v_<(`f@uV0I_G*I9RD+?L~j{1bx`#0ta zEeZiTNBzhh^|GEN+1vl7{w)Wm!`yhLKAuC&Ve`GhjRo0c|E^`tZXfkQW;&_kBLS|M z7!XYb?!E&&=u`h5Ld{_dyivFMQHW{aI!yVS7oS=ttZ_4U4sb{P=wmO6wCrO3g8Cir zRxN0ht{}^=kNOy`2fdgiLzr_8?$^fWMSdbcHb<)&+4+$`i%$>mB*aF7fv0tiFWhcK zRThLy0Mtx?A6Q34Vn$tJOcHkv?-ldg8_%9Jr8YX#=C;}%u*pWq^?L5VVi61EUkC^@ zTi3LAgna%bC9aB?Qos0?XlUZtnp9cISx)1AbGeO~JGb1<*DpHId@iRrT4e7+!$h07 zWDZ4FAXQ;*hdB%9)8U`#Aq1XW1`G)sm$Ol@ZCv2#2r5~I^BXuYJm%NgOkCQOAufat z)Mo2&C`TDc7EDz1sE;V{`=Bx<#5gYrDb+@@FE3>Yx=pZB79-7UjD-g%Z#qc&td6cl zI`S1u2Q2b!m^1LOg{LEV_eV*@cFW|i{!+a94itA#8 z2;?I%3?C8LQn5B+Ac|?$1Ejde^`AH_B}3`>#H=np*@XDR^y^=fZDd~Fz;wS>e@!M7JaPvv zPU?=U|2$6iw_+;&j{0oiARgl1!2p}_PMTg!Yxs?H%{HmJgU62_ghA}_;}{7x*brZc z@>!rSz|M}1YPdKizI;?B3~2O%LY`8A1SF;-m z+Oxu{+PYOU-V9O}bVd$T!;AU2M<2*KtciMEC29!H9V-u9ZUJ$M-4#Nb$5QVy@LP8HyfiyK->WR(e1g77J;isq@ zxu$>@C(@*mf}RY@L8hJXBrWMOEKDqt3i8iwFSwpR$W>G_j=iMN>(!1>S7GdmXt%UH zpfdn%XxP3S<>d1=1{yBn9c@?(YZkyNN1 zQx^M4-32#mo8SKR;r8t_CV3=RwbSNzS!Jbd%GS0L=qT*0!ERw05x~DzSsUKHYQ||Y zuwKD!+2nux!l3~g>0-F=;qnW{w$F|jqXuhZz#N`4WtzLDj_MYvu(*X@fb3G;s!oPE z?QMW|e7J7#=?C#3QWQRp-~(1;_=?J(Y^}oNmHRoN$^y4Pv2Z8cL)EmwWVNJh@>2ER z)el6y-IQ`!2h2{kx3}jwTf$_!N75)(mi|n=?Ylj_>QzqjfMiO67Wc4{rOcF4JS+{j z&z%duf1`r(U@ZlI{F=sZFnCGJv}cN<(cA|5AP8m+HUK z@vG9%#_zOu)ChxFSxmKsBSSO9XX%g4SU79e4=G!|Cgo(;VeA8dsRxIZ$Eqhj(brh0 z>Jh)P2`<<#u_i^?L>%2jxXAxZX%?<7l073C+~1p!t{Dj_9ZxL$sz|_G{C#{Hv@t=B zP}EsMr62u$;U#=d%MRJHCiNv=5OI3(_o-A=G_9B~AsrRui@pzUDE@tHg#6PmWEuT^ ziPt|@8=kjTNmkqdOlyJS!m{E9I87hqn;%9rT0<0-L99QeURoyK-&OxH^mcao3^t~WeS^K zH`XC|VCLo6*duA78O!ugN@5Elxkhd!CmdSX&*f=utfmDFD9PkBHMk3&aFB&)R8NL4 zD&i)OQLO z(Z_o2Zs~o#^$zu`{XU~$I{T&vAH3;ofJ*ZpJ&JR~s{J0}8cw}`t#a3NvWA?#tMY67 zLG}{Q{#6^CipQ$*V2|W$g2v->Y9+4=(K+K`;I4$BFUb9!Nrk0B*fL+v z_lcdO1uEs@|8I@xoKCB{68@q=)}90JCVF33Lb?M@bC5mog<2~vPXXzk7B$|75Lya& zL)t=%E&Pk`S-PznN<)4iAI;NU!@f0_V&wOND{4!~b@1&pAN$Goqzvq>;o=lr=43Xx{tUtEaN3B>CWZ)Uac%%Y9--wFCA~Ek7aAC_APm}b zpXAnlNOIF+;t%pPlAxIkvv1neXa8*XxNLX6ZDDR(+U5bi-=^>US$+3TyUFaf{gSPI z&A@*!TUbRQ-p-3$KUDc=Hp9j|c+t%)Z{KNid2DyGia&p6lgtpOkDeM{Qy=)H&22V` zFBRKM=Etf98a&;o2pD`R2ctkyWxz`aTDZXBjY52aOspy*2=?xDIZi>&&))8y?Pe*( zt;DkFm|`@cFI!Kx=wFn7fh&cqy-f1RZb2KRCK7JNBsApYHWk=M5J&|wBQOdb+2_^g z*;b(s3o^wX$sWZHhUhNh^+UU2+hPaWw)eN~kHy66akHOp4#cDm_4zDetK1Mqx+sR1`nMz9wwQP*hL>=&Kei3+FtV>|yg%{T(6f`N5BR!MdXj8xHG^3) zqCJiEswQF>ZLP}3Hs3ciKciD63}0Z^MFL6+`V473sGm^=U1^Mx3`Y|Mrl>H0pEcT6 zg^H5MH*WeRUNMs9VN5fcZQ=>}GHBs};LS}+P-y~P#IlYJ0P8ym@R(0L;jYe*1D4ll zwDy~vES0HtyCCI2411OeiC>SA#1wX;8DRXzVihdy^T9BjrZUmN_=b)~n*!R4%Wps~ zkbFH!%W;I*pJZ#8%)c_#RUtKlOksrV!Y3i%vh>?b076sjL-)-NtH_t7E8;OBZOPa@ zAofQ3jdT&<%k!kzaG)7qW3j4HcvQe1&&jd+f8}J3!f+>UDx7H_B8^6hA&r*!PDQ-B za5jys`+BVIUd>7lmgi)Y&fyh!`yosPQAwyIh?7D-h2#b7);pTpdfDrCm->#&W_JPe zRvi?=>OgitOs_62y`!|JbhXf5STOdjJDPjj*#EK7D|Q>bl1&L=hPkN@2)(QE#vP@l zt9uJeTG&n{WG78N)aYu19%#`y%8i44oVsSwNLRxgR6hF`tsw;8VRy)COB4`B4i4SsLAa4`Y(WRazi3X`Vv!fMiDilJX?r1a{9%U3-*f6J-iKJh{i^La~ z$yJ?ASG(MP>=IKImh$g9bD7xJqR}YghlfIHszUwEmoF2yQ`Xet0HgZCGNmYge2TvH z+d^IF=q3{GD`-m8K+R-7AdPA64e{l|c4AofbmD)4hUvwM1bw^%@mXLok{H%R#q;qz z+gU3h@JZH-G^8$-2?T_&a!E51(fhSa5Q$w^j>=mA9b7)O1^G1VKyM1v8fOAgDLfFwlSN7aDkBbh=1Vofi; z{_|sQ`!zOY>fWC264~Y0Y;ZbE!j3Cqv4wlfV?E8SiTe3tr;ceTaXo*JV!Oufp0KT} z!>xB&7aARQo9It=F0Wa;$5j)X(=fKBtv5LhYKFC6eJA)BwZ>zny85O7zI6@a-&ln8 zLF2LorHz$i{9dO!8mb#Jp?&t4L$8*9&!)KTkLxQVHBP8FA!bZwX zC$1xtlqa{pU|8*e#v_V+#E4OT zjwi(7(vGZ$V!mG>tD`=FtRvSqWZ9$*B?GPmVd1ek!0@{$s=gg&_gx>I&W_E$e<7Y+ z5K(_sDS$qH^8rKPSita&*B->#;u88_rMf;Axsguitwh`|=XF8(EVlU^L*PKbu#TN~ zwj8|9X*SENE}$egSAG|3#!^5By}_`$$?RM3+{=QMMid7b`V01GIvvI+&E63R2wQNp zn}sc$*2c&2oUL%!tO4~7wk4n)tpFT)D3<_3R0r=|=}&0KCf!VqIpm|jC(z<~qb-#Q zZxk@2wJZtt%hiN1;J9w_Hzt9B+S-HzVkb8@NIl-+0XLm`=_dDWyDqXB zn&w}0*`hmpYVLH;R9>jKpbgr%Tssmku7 zB4?i;DJ=yE$6)n>a-tiWd=_(RksK=Y6Abz5;b5mLI|>)(FA9o zGzACes-Q@1Vend}5C)iY7*G)}1M%Udge?eW(1HnSXri;yq(~2bXQq`x;Yrz#0k&ke zS%JGlk~lDWC_ny*-Pvc@4#dzy&@`+2PkV%% zOIv<3)+u>drFF184*~^AoZL$_J<;#J>d$8hF1HEz)8d7HT$%mI=(a%Fw_CitukY~T zzCPh-wvU#V(e-YoddEiUO$O~Gr_8a91@$Jc+rpZOpW6;!qTct6s-1GiRv51Kzn!ku z>d;8_q{~ie0yF5Z-59^#vLXATUx*cq!zD=G$XZeu&u5Te*HqWE4IIDJ=3 z;X=s*MnE=AeJ9|E8#P5YEW>Y3>i7+gy{D`72zWgEJ6_;p$$k1u>hqEMJ4WhXT+1`J z2UoHdw1-mEKE?MEYBN#+HGKNk5c-SiJgPNDBrxIO3hq2zQ?Q-Gzn`%I_?VYp&dv2M zvIvf0jiNBnpf1lm=3_A6ApuPS)>4!*8O26GMgpxwaM6T-up7}x$fShgk;qe5v^RIo z>TaB#z4r{2{wUbivuj#sL%^MIIAif88=Zo8VO`(VhtJ#lK)G7`AVbhecjuza-rrB| zo4s>x>$20;IoY}UyhY=kM#Bz+WZSjeUwYHVtw){{#_rt79ybJJr`6`3xa`^N&f)n! zT=yimh90T==dW``)l)vNIle^QUoEWPPd=w1q+I0(zj?aa4;5EaZaQsy5FJ4LeF}5{ z$zg##sP#GwKG2!Ph}IYe2=jqBViZeEZy;=DiXR5O3_2O25Y~Q9y=cg)D}9l1=&&Xw&3l?g{8))$`(k@{a1p3a{ens7utuI^2=vshxrlD-kY-br`D+hAM=))3(PZ zpyB3*357l{^D%K-(OTUkjEoJ4X>x<^UfmPAA7hlXG?QgK21ybCZk1lxS0Sifv<291 zEjcA#Q%-#E!a(4PJtQIWk)#atL{s*GU*JZt07Zc#S!1%fwV7fXkwZu$LI=?Jii9b& z9N7&))d3Vh8fPHy4GD@Ijl7yD&?%NGuJ_OccYXkIaDN7{Ux?ntALbeUyb?sbz03s# zLfJD@r)GcJGkZS!PFErpG3low5RJ#jCL63{qLHqyaMc*AVNejQp_b+{ucvHN$a_^~ zK+n|6Qz^l#n5WiWi;#UEURyWC?C}74{5m0i9bm^jS=(82np)-?!p5j&Hj8-6#y5q$ z-cZx{GVhaJT^!E3OK(B$?9)Oq;h*nmgonr@l}$~5ny#*74^BUz-dtT@>WZ;S_3r_} zQNaQi9BKB}jHzND-dA1Yeacj3_qnU%q4vw$L-Baogt=3ig3Ri*h;4T_HQn8u6~D8% zu3dIGR>z7KUO$}07IDA zm>ULZ#zLtQpB=zl`Xly=k@2w#_&57?*Xi!kJ;wQT>Y(diU_s7c9> zJt9NLo6(QTdY?<&%(7s~gGuhxX6Ia@TxNd)1c%NSn z1vg!?!9F%t+BbteRT}T^ikFtgySn40Y{9CQ#s-^l6%*Z|a#r=PT|QRt>uzZ1KDuU2 z_UG&)_39e07-r|Hmy8d@CawADtYBN~ud`dnC6l4WwkC7cwB?%@#G0C73m(O(B@{A= zKYo4MwAZI+m;dFW_8z_0tM6&w{t;apJRSqCB|8-3|G^xy4{cteem4EFg?KyO^H>jM zvPiWhJ7a++c1XQBBKT_Aev;X1adZCx?O6i7i}=MPVM!{DFhM1no>Vgi=FJObSSzE4 z!cz06q4?jt9&?tl`>Ym||8Lbn@fQ|L_G8v#F`IpVs|l!&x&>B}_z$1B(XGyIsHAWY znA8qOJ=@^)4xPoaU-h^g^}_jK@kTQ7$?aFf|5I6D)sIC2%qiC(coF8shYu$ie*)ue ze%G2{U`NRIn<&=&^cNmI;H`MZjd~?#3I1s@KF{obqiu%g9@l{o^DS=Z{*u!j)-EktzHk%L~ zUeueNeuutfbuxAHnCfe9zB#!P8?xVF){CM-QK}``94{Bxq4Q=lI*@*(t$ z0*llTSuC3*FY_i0Esz=DU(#!`f?@wi{if=Z>r@~3asMrB8H6RvvkTcW)vbP8ZeWX4 zzxps+&i<@^TXl<*)K}C$u*vFs=c>O<uva_OepgZ3^mp(p%~u)K{5Z{k!@f>W^5N zctHJ;`gb-C%!>u<(kED#4A{XPx$+SHa}?%+(O6P8P)JhxL-2PKS-#1p!TbB=d;5nL zMMOs=yP`{Yvn%^wn}ki9e$C!VtI_NeVz`$Lz%L_RchA@F7J^6AM{gFM+M7MOSKOPu ztXH`F#C^w(VO);r;56Hd1-i|6n#b*T>ceqoYd9adu&Oc+x`?PF5k{oi7$_HEV@K2z zymA4)N+`DI{|3bN<-4D@&N)YxIVoqR5q@8N=Kc5COtz?XZfomYb%y==nU^drYn>b!5Ctr?PZ$sZJGC4(Lx<*GmYK3@9};69v2?xCz*86!x1fq z9-^Oe{|eU+0lSwM-%%oRlZiDYBcsgabpN8BFSM>vThx{{TLd#395z2-=dkJ; zUPumj_0A`QOXa%S$dG#HKaV)PHrXJUqTZlMEURp*D&K#c?PX)`>TojQ>yzh(U5ggE z+}3v2ww-mQmrPrgHX82`E)7LZ#9*S)OrYMVHZ2*%Ix2 z-f6n^R()lg_{@W9puD-%bs!$vZY>)VYBn{#u=iUtgZ1U*4oibOw!C4kr;~&cIo+d? zul5rmlh}%uY=)i|^mJ>IyR&mweFZIu_7x~{W-C@zr5Q1cK^!y+OU~frPEZqXZ04#L0$|tY}D-NPT^J>z!>2 zLk;VdDSg7vTYSmLjc%I1lCVSm>+G7BEY6w@(XH|*G{ zSt~)o`-!M-5J4aV2N@%gOd!0FRFIBn|vW}Drt z-eWVGJOi3H9hf$!nudR8+Nmhg011-@!@NC3DA2QVhVsnWtq@_vVUsn7Lgo{)!})lf zHnxUxXX|Z}q6~&9Cutz=WXN1iJCP;&D8)pBPR#N=xfBTp2pd7-lFF5XXBc!;f}%nR z1Ca6zjC^CAo!5Zpsbiu(lgpE2dZaZQmR3Pl1Nu#$p&}HOO1KhD0hr0cDxiUoC%PDR zz2y;b(?1FUenyXAUfrc`fgeIi%?Q>s#3O>1`S`d7)!ab-ztxcdp zi(oNgfzqrSy+Qa-h~$kCFl>tV#u zT0yo>Sj8|%X=Z5eLYl_j3H$wFA3GlQ`NIC8!J3ZtWgQ*Tf>iySj%6K(I%;b=*zAUs z@a=8sq4nu=XBezD!_2jBtet7FSqQn zIF@m`p^X#2_+Y@)f(;Nc7NdxOl%T-$NRFKpzZ*Diiyv-9$byI~Y_VA7@fF$z4H|Dx5g*3@-my-zW{NS^+s=4LU=S;5ULvFYRU7E$thNp8*A(h3CX5s zqQ~5@=c+ot#VX*Ndavjg1ef4*RI#r4+51F`-Xy>#L9~eMYl6w8mrb%>5bZT?ljVD6 ztEdNv0*uOqR@o*xU>7I~%q&O{-x-#ny*Sp3}O21M?Rd(O98C84<|F{P!iYQi+&Y*nsLu5^Ihu$V)k)=GECZL$l#xZCMb z%xz~?w@;eYGR~3+M_}0ce(?P zl902^TxqD4$DQx-Ouql3YC)>Mv?0+^0b7X9MdejK@03cTh{%+U%}ktHqQF-^C6`xw zO``FD0}P~L0z_&PDjancf@m?ZGR0TUYN{lM-RfudpltLzU;yJ{R+GzQ*P|q&zCuzY zP@pguLKr`*Q*oFilK?v&y$CF+j-b`jSz!_lC6mW>m+2px;ND~mcq=BCmMTz-PuXY< zOa5z2j)rQ{(LTN*&~0=Yh5whf_W+NhI=_eaPTAgjUu|FYx>|LuiX}^yT;wh{;oiU% z_p&Z@Y`}m`FN5C~v?rUXJU2@qOB4H#QH{+~N5*}@@#Jm2%V%+B2D zcW!yhdC$u$WMz8Y@Q7Sm;An!nZCaUSSuojY3}>m>9D|bq{)XtxPsx!lnpMKJ$>l0=VE#0Q${LhbVQ?(avB~M5H(A<6VIs~Hmen|XCr57cj;wDg~y7PjIZR* zau8CZLCaPfRJMsKeNi~1P;*LSAkgMF^Q=afBekooDqXYIppZJ`(kv}2%`0n&8lEg` z4=C(+1ET{^|A%kM#z zXK7m|9Wcfc3=~;>1jcJfX#rU|Ppz!j;7pMyJxd%-z##=(QTY&BIZl!@lVSAb*KE2t zsC)F&?X{LH;g7;@GHGHi9oIy36f@s3g3 zRt#I$TBG}b-9;4UrV$&5Ij9vP)Y;Np6VLT3k-c!=P<<;z&y-p^C+_T2?PjhnuA3&) zZg_w4iMx50MTey|GHd-~Qvv|JOonzEpncEx-PZbcYu(#|MF)Yep>~>mY?NK)j*MDlofYp2?IA zdWFjqQYB^@4u{F4kONMK_E=?Xxs$LThk3UpU19S{Nzmr?e_{2qb`9sV2yanqH0d@5 zKGJp8aZ;((RpJ-E(g5Ey-P)#3bab(6W+bgQb9J5E$fs<9fcfNuxIvFo=h1Dgwcy+w zPuTU(HesXi2ZPm;XEiGog3BROSUdQwi5UwQ_J3+1m1G-UYluB@01JOMr|AGf`7CDG z0ig`8Ee4)kL6qbPGy~CNdwL7bt`jNhr{b~f<0Mqx@25+$lS$DH(Vxp|&m0t?&qQTw z7?k*9V*W>p{DU=}4O&dJVTtJY(^>`^lPL~F6O|IFf&j!DWck6E9}tqnNz(gl(B;1+U04#Mx7H@PM!jr;8}`p8X5AFzRgZ z`H&lBbVagpDgs^cAL}3%1zD$XOne$PNmH;OFF;TKQt?TS2u1Xly;A5E%X>i&LS8)c z94WDnS|omqYiN=XeK3B}x+|c@HmfZ(WQ<~YG9AvJ!q|jbd#I*5WUrl&T>ys=H|eYa z=2P;fwY|sZguD`qxdX)M>uI;{{E0Cl55B`!K{}wLHeN|4VH*YnBfJf$tm5E77<2U`gq>@HG1qNC7Hcyb!M;d687pf$B(PUZ=T|xM7)L(EmRVw z;~E{-q~ZvOOr2pdE3KGuy*wmJ%9P@R0*A2yuAhIFS3E2{e{lXEPa&La>y?-W>-8zjMwKGjQ$BzcAdCp)p^-It?U!LP5Hxpchm^Keq$?$57$5a!Z+()BJRD{ z6WgCQN}23z-^iC&TytVqsnMs6p-*RQ(ixw2F8vzfP=&GB|8F?{vwhrLatNCSGk0hY z#-0-r+MT6XGIxqGf<)4vq(!0^mfU%UhXXyCkz}3fmG;0s&`8l>X!W^JfDuz9HUo@{ zuuFqpp>Uv)!psk76{RqQDF$&!v^n_ECT`}V@{zZoqC)oA7_w~`M~N|5Q|_k zJ;Up>vyh*=Kjn%>HQJW}(v6${w!9Z%lq8ZlF>@K=Ek<&|IT4DB~B~Y_O;v9%9bdID;FI$4}a;O}@l!+Yy zZ67)fU;`NEa8WOT7DH7N_&*q17&?q>qwQXMcFgOOnF<0N*-^sEWbzzvC)kr_vv+i5 zgPm2{O*$B>IAd@{>+WUK><(pc@%$Y%QkK)@5Tn}4^Ln|tOsDsh=f>O`Mru?jc?N+S zjv9?oZ;e0J6*s%IG6n*@)S#6c137i!nnDgDIU_YINmjH(${tUCloc<{sdVK)q-C~s z^SX%F!SQCb+A?8SAq-ab;ILesL&}?2F1w-0Zdb;3_7dq1y_J`mAZv20%2Kk(?Wvhm z?BgJojYahs`X@A7)HA9Qm5P}EkW30FIDr{C1ON{u z1g5dIMr=}b5GjQLE~kiOEsekhAqGW;iWew{c8QDP()f-j!!>b}0<_?aiq6~yI>*3B zi`CdXW~Cg76+JS8SL=N!|F26HjVUaAW#N(;&=GruQ@h?1{-Ra%60++(*a{-;SN={& z3m*yJzP9zU)P6F#y&<2IYIRcSWv>_H=QF%ksji&bymFkwB+s?s!OWBD?KvFpwAYaF z6HB9tl5(fq9jdFlXQI1E?Q^gHxncuVOg#lH7*|HYd$Tnnm)HD6gV_v+Ekb4 zp_-m+TC}!*?8^M?Y`$XK{JN&qk1Sq6xYYg&+mlym)o2Awb#46$jTWSN#;OI(jOptu zaCbaIeUAorw`cR3Q9bDuE~l}?)pf9WSllS}RTN5{AmKP8TP%l##64O+ z<9w~)>KD$L^#-v&PKLdn&JjL-V;0%hPd@a%E}(nDen@49b&%5#O-QsX6;-7Ym_{)3 zVl37&u%3X?ma&!7b)K&CFgV2vcWds-QvlU}1h5qyxV^(mlpUfHjzhVqKa?A?iY8<~>_=ad! zk8dO`rvOwQj>Y9oP2*Ot9wKK_hBC~WVtf!r`yU%(p%oD8e+cg4QUi%h2a{}O5}EG* zZ-HLS&Y#FkWd<|*0G}o#4taLmE^k0-iGxUlg8Xl6I@jpH*%~?tx@JuRJn#pu1 z@%_I=rNM%Y&`YFTCG|8jY9=GAaO%H4EqhwG9gJlaZKg1oi{db>rau>VdE^b)^5%>b8}?cL9itw!Y(Bor%WpI?%Pj4J{j!bwjl?n=A z?##%PqWmuA8zS)5vCxk(#bC(9jFU0xQk5C=7R7TRzMFn&JpLe}gI6mL{C!MbWW0*I zJeV8RWO=t%FK{h(m362pOLR55=AN7W`u2&T{v&qlpQUo)8&gl^+xyG^_=H+E&E8{g zDtj>Tm&AiGOuNYD{?mSBc+fDm!jX{TQ=#IZQaQll|>^G`1^D^SV zM+ZBRqk?)b(96%pKAv6kG#;Gx_9RUJOrL=Ch#REmXQRXa?RfD@|1DZPOH<>K-+Z~L-ZeSdCe_=8y zv$DFgjbD+f$Xn5p?QtF#T$_pgT|@$@QGPJGo8D>TeAt8fg6onA*w0M>p@iDdM_^a=-IIAa==ijmLcDs$P+!j}iuEj;;q_SK-hF(6t&u*(3 zU!LE)pqCz!$h##W9aWv*rYjeIUm+JxEFjgC8ezyBN-_G-vS}?09R$E(jR6BMU5U^@ z(V0P0B}3^eADjeW+@$S6T2jX+!gXXQh=c{DMBthD%*Muwk`k2(;0!J{>|O2$aekt_pC0cNlWBQj*NqU$H3%h)ui z?qoV$6o>@NL$D;;M02ATJ{}%ng;dfcXd{fw1p6fDH854f8 zL_5c+rAD;odO-?4m`z)jE@0QsIP#m%s{3yxi%G|qJ9mC592Bk*4$?J5vvrf&4==v> zL*Z%RPT^^~#-wiB-EW#fR>F=Qt#Nm25b;_CbGzR|l<+O7jV3LT3y%tNHaS?@`}o41 zF$uNZFw7Y~77Aa>jb2bAph2cqyb2hF{`0@kc^4I@JroH*5@Ck{3%HA7J ze{=QfTZrXPG(~C3e0zG=<=@}#yeD$(it9e|@}t3Eyl(l}7SBEY4FhdhBIcb^!*gCl znFlPvfq4vU4akQLkM!yPH0F@Xp4CK5WGsrIY#-Z~%66Yny0cS6LL^vZ{#CoPf547v zDOQeSMJf?e5Ldtea!LXg_#yu@^rU^*gZ%^VuaIC)(1`K^c$#TLNtk$0pons6AR0!$ zLUWQKxeJ{spst%xMbvmTKy*u_|1@&<2(Jsb3$Ne98JRk3nUx!DJ=x2tx%A513Tb^+ z6{A$>`g952ZR_y#^#BMQ;Q?NEWr8Kwqc!wGt6zh&EFKrvp{{ zN~{S=Y!iu^0Jos91XK~^De&WAO?3BQ!NF<=uyq~mg=ar(~#oOa0#k@s$PSzc6DGpZY zT%MiJKfg1}p{soS^vIIw;22}*cuMOjV++=yo`T|dD%z@Ov!(S!t0^oRsA=_x^+YR- zRun2H5=~%|fM4gQs|vMD>7n5f8#?tsN@5RaH1W^l8V#@Kb6(2f^@31PSCF5~CtaD} zHvqx#ExV!o0Lk}Jze|zj2?JMi!xC>^ZcUbx|8oD`UrHT5QaV&bC3|pDTvIB|$&v2% z6%>eP4*a&})c8hn-$b+WaF^U1-Y9%4?aZpl@s?;DwsrU3yUt6`1&HKhr(r4L3qt&ZY~Ue$d;q9YOJv}hM+5p1Omb%T%HEakh-=S^t}!cIW|NCt zvYY;N*Q~sC1sQXeEuA^!svEU*$tdANv&&^(v#x9Tve5*SsoPZk-nva@m)o@7>0Un? z!Atj^ZD6Nk^lh>fKMh(sMon0&1|FKqIv6qslh=z6Ed%72Dy!IIOJsI&k(zNe{r5j` zk_^X6`ZxFWKTWP6!%seNfB&|pQNmWNqVSmX-rpQQ`2bN0Cje~8WfmX!`rCUhuDV6| z?tzm(+(*>4Rl?Uf)zvuzW2UIDP+k<|WI}{Ib%x>RC*r31(n%p}+BT+-9GkW+IrRJX zl4DHYwrN6EI=PMW4E<6fuero2mvA4UMJq5i)7)epXyn;=e>z3@9f-LGcf5hMl*Uci zj^i)l8w{96&a4mrQ~GllC9!c~%TH#{M$B;EW?N3ttH6-F_R*bkE z%xs+9eK>1JJlEyUi3|T4SYbBZx6y2}B_?h-TH3hruKPE(H$8SVQM-|~4Xr_@In|BW zVgnhInnHim#YFuiJF;qqG`&6hB@?p%o1y+ku}Y5rxPFzA>{ANaiBNe-q$cmhZ(g6f}5CD+Sf>5JC1{YNhE(3F0!pqbX3(RwM@_N|c zFzw=ol!l+B7sM0Mdy|AsMx{HQl(76 z$#hO*p?1?0eXP0O(<)bIWm(nM?>D&fvK;|!P?al}G1;T~4{9s&3~cWA(L?15m&fK{ z)~>Hj3O^K`+eU6-gO#NfAS4*o;1-7UNR|0&(@~!?n_WwQKqAZxwyrJL|JM&?c06U%ORPS!-dO@oAf`H*?OVR=v)~F4S5z zN+5)YCd&}E8gy1RrguKlTO10oX1m^K%4>6G=~)DM_>yi%EXJsGuk#kUP6`2@0mFH& z*Y7NFja4Y}-Gp?I88a-Qs4d@6Y3k4^;uG$8HkVZ>6{d2Ts(+j_*H>Op!RM>kkox{2 z;Rsw5Iu&f8xr|1}tTY4tlHM>@EiDGFo?bbl;~Fu({1Z6Pa>+DgRgwURk+FuLorv&p zv=R76sC6XM%S1>W=qad%1G_wM3Sh6nDM0zsc0|E!6pSFE;zY!kd0?&wr8l1tn`~l0 zKjN<7P2T10Tav&7>10G6STwUFdt$Ckoo6!J;)Qlku~Vxs*jOESa`jr1$`w?}mAukM zx|OzkuRpal^rsm`;TczAm!Ag(3+p`9y^Z2s;Xjy+&E`xnc2|LnIxpPt&XsPg6uUf-7ft7w~JT& zfw+4o-?d@ch@?j;51V6l_vA4*Mm!^38vC%}t2Q0LXa*LS0U5%JS+ZNQ2IGMa4z4Ku z1XMXlM4({XWT3mXmejMX4KfvQpFUQG=p6zh1P(#hx0TaeK{z8y&FKjo3kEhe;iDcE zfcF9NrmRd+z#75I#zyOzI${$C4z8egkGJ98@%p80)mt99&dA=tEGF*_>L9oaR=CWYsR-P*G_o6S+z$z#(P~a{(6#ymX0~h z+zw|!lNvkPaUB%ja-FB?(Fv**Bgd~HFZW*OO%_;My4Q{$zEnTq*A43HRN?uNFg=hl z(mS>Jp)!boM~Ci|rMz6Z8QFl};xW z+VC;%K?kAOOY{Zm7ozQ4hK7!RFs`B9d6c9mQ-&9ZPv@IOdauhoi;5;SiiX_ zWHK;M)?aq=IP-A2oqKccL$m)pH~*+mz|;ySZZ3~)-BsluH|nc;xl+!#{ao9QcRBNG&Y@@wdtJbh8!GYyZ)Aw zzW!rQ{z;Ot{z+k{O^#r%wLyJLxwd z^XJOJx5eNf7|~5`*>4^z8HR_EXsbFq6_{Qh=&*U_cl%k zwM=iU2Q-PXbe70@^dA>Q@*j7JJAQ6|4-hly6bGu#Guf4I3#=NJmMq+jRMnDLMGTM8 z6FZqoQTr`j5OI0-s_>JgLyrB~1ISJSSW>S5iIM8Fd`kT8G)kmiG74kB5_qw%knBSo z@oyzBOWuPdb_$`9K7a)3Pq%~9W`D>*IUiM@0O!f@)4ww;cr6QD5gESP1B%!6;MicH!*-Y@P77+wB?U{(vm~ z0JN-bp*I7tds}$B|2Yv_ml9GUw621L=mG8zKA?tYOyL8Y$OA*gF20al| zE!BG;U}OpgXwsPQkfX7WgsEmUAWlI(Q%5G%c5JA@ zvU7cnaQC>*j%_XCf?T?a7#|JPH|92fQQw$ue`M)hN67HnNs*fMopiZ@%w_PtA1jc&hb32b{w#B}vxOro)&kk4QYrL#`LlzCOWDbu%nMm`flvZfG|KV$j$ z-FNRE&whE;GvWRhXt!eH;b*Q&eRI=I-{8}UJ`2g|xFh(1d6<`@`9woMA|kP%%i+S5 zK1F0WhSZW`Qt4EZc`V(MZsAXaeCedS(Vb5ELclEaS@QrmjTB5H)0hpPEE5EQNlSt? z21ITlh|EwEWF@giEs@COAQx(+_op}^iJXqHgKDa5asPlpLpVlbgj@6s?#6S zYL9`li=n^zx)AA&B=wJxE3xcTD*N=wh_LiAeKO-y5#$mc`A=Xw@xj(!AZfrCg?F2! z%%%|*5?(3e55O%Be>hdJWqz|Y>@NYc35+My#uxNsQ%rG0cZ281FRKs`l-S?BR7$Qh z-dVrO@Xl=E(CcZ!zjWz~bC~pbD^8Y^*o%J<{*O3DPI*%37d~UUCSH7g{XNT97LQ$? zYDwS3-Mc~fzXjb-ryofsKuafo;|MWb{O%5q#oGdD3s3+{Gu!C$mzxRqo(e`nj_uaPooI_7+V3f_n$&KXNEvegYzVOAmOI2;f z%Txl_vJgS~zx%NlOt`B5A1jvKoKv>6a#W5%cB9YQE}Ng#F-&RRe*ZmNFS`A= zffzY&T}2~NcH;d+T}$M2l)?WJg&c4iEkTi+0V>Z^9RNlas=*@uckms`6J|+}MwkVl zE*N-dTsD!&Rw6C9;`uACcs{*j*L;_2erJQvcU_02%bc~Ubv}FK!A+YVd~oxo2X_nq zIxLJ(Kec`BV~&r=1*4{GtdwIw_4r|;;(YY{D^5OnWS2C@x2K~s>682AHEryBn;yjZ z4?M8>3E?~8cUvB~Zsk;R?@dJv+4DFYRsX`H578avc%LRj22up7SnVaEaV$dP+@Mb2 zq4CIrhOkSI?M#gOW_%ee~$=YyOXUUtta- z@3Q5iMlTbdyK_ZVk=cxE)U2`ldFI@H5%zHXu&HYiR*LHY$S&l*@|^Pwk?pbS!QI|E{fuLT9l>Vn41g5I@&W>ri?f&GFo z2Mvui(Ha1iNH}VO&gaA?EjuED!@2g}wMSvNZckt@^ zbBcT{_aqY7%7ddWm!=M@i%rJXYvdmtmEHZ<%5=2wE#Ya?`{vOxdvUPHUc~Hq)u^&+ zVxd}piz@JUQn_L0+rqRxfv#aS1_Qa)SFTn?$r9m8tB0)&yDHj4Q)OzVO1NO^@T(S# zL(0QB&KiTUe&dAnr^5A~AR?Oh+sP8L@Ls*u%05spT>iM4%=WoC#%#@Vlnc)Y*M>(1 z%>k=bX=I0!#ZUiZtZ{s3P3^i(18oF$Y@`P&pb7q@ zvO&%Rinll&IO>Nvk;2BP83HY%nxOt@^RQ6}1388?OVhV+Wsgs0?25ERVP|+&EE0^` z9;D*zmtfJOHEx^cUSPX*CM%hFt8IaM+BUL@o;Mw^gE?}ONuG9OHsL}9goCExOl6k9 zcBF9hZPPbzo-Rz=Cbo417-4=XMb6q`w5^}k)dn8)rye-Nvy7(}Gh*3HgK@Lu%)3+n z3oI%!*v)_P(IJ#lCcqSZfges}9(VST_vZX!8Iyu_9WRljFOkeF&%DGjD#;zAuOeiL z)kL;tDxm*yaTD@D7Ic(j;`>P;SyBFLyqBneU^?`pM<(c}IK9OD2nZ!U*T9lL1{g;P zQHC5spChCsLWwhCBD+2mm(S2;iqgWTOcCcZWEYknl3hS(8+Jq-!Js3u!vGXFx%%`X z1GZyXL7}pT{gaax|rmpxnPf6C{R0 zTib|2S=j5#k%yaW)!9?dat0A=*X;8^v`SQ&KeDAp3DgrAcLuh@xA;PZBR zg`=d<4p03_tdo51mGomi;T*5W zBR30JjLniAk}JV|c8{b_@+!PN3ED$3pu<0a5gVJRMq0Nr)(md5j3YKqt%Cs={mM&V zt(QUujwTQ>MqnxgM4FbD0^omUM`j%X;ov|kMM@GAVteUvCTv*~XK!V8i8e-rGO=_w zoddypK}UkYEyU(oO|oKfA7hGR%Au_RIi%5mMX8P!NNn^DF#hO?MyUXe5YZ^CBuAyz zAaoLmQ4tEOMf%#4pPP{;jWHM)?Ifp@kt=LAg`7AKI~*z{W3ezw)pVPUQEMy~jk*Wh zTB*WpR!FsEi}0SsqLk?wqmj|el+#Tnl^ko>maAr>%xuC2=oZxEl4o@~9aI9XR%h1D z(rWcqJyENP-l}^|YjhfkRH_Dq0Csag*5}@Ne*Zr;M)&xhr-|1PuRQ|g&-ss8aV zHQ)cOM)PgI#`o!W$Vm6yr&5JrWzH40eATw{n%~Tk@(&l_f~OwphL< zCqVa}HZY$G%oj?XR`mrDRG?uJ%%7|Dde!ITbG2SC$p5Y}8a2z$XEq>ISjNkZ>1)ov zgE4B@ZHNjMe(1B_iMB^&AdI3IXEcx*Chj7 zB70ZAgoM~V!p$$OCVPKo`w;0RGhZ4!{v}p2VcgvrJjUJQ`tKgHL2`y{a5*?8l{pSS zVw`E_9ZV7@{DRZbcUGeBT!b+Rqb4RXao8LXXKXTqpXO606l_ghxNxwE%@d7RW#3 z3UEXjf7lI6*9ic+0Pae`^tPR>QL2SMsL3oEYnGOP$E&ou>S`~7xQVo(=)(GU4qQK3 zr?C@W$tk9f*D9E@M03cl(WrbDVpAIxG#Fl;5L{*BOWVj61YAL>qYM>lvf-j@87tpW z>ZJvtU!o^7M2?;aC>6H~*pz?_@A_f43oiSGu}SQ@oNif|jUiqc=UP!8 z=>_F32*pk3PFPZ*vcpA%CN-p;Wxmn4U-oTG7E0BO+K-oF$b+b15-I&yI4^>TevPA| z*`O%f1ySQ{Y5ZqvdO^$W`%*F%#Lt9hQ~Pdj5nk<{#WM`}1&EZna`}}EkJxL5;b(RK zf@)(^i_(k8hi0cS63J zs|Oki5QJx-ntFo~>>H%pY^E}xqM$b5MkoYvA@~kW?9WyLsNftU=J84%FU=uI1-qz& z1e^PwZW2CepU0^YenL2@YGH@)Zu1jQ{eo)vbm78VWF|Q$<=}w5W#K|%AkIaL_Q^~f zi|eTOp-#ROKBVnH#1e_)P3HY8s08{;dZ}0gP%Po!hLQr;BV~334uMWAl-Bd--#Lr4 zPP?Qdr)gAseNmTiQDw`*c6`PC1Bk z|3&YFAt(-S5J%N3gxme>D{!fPNgp+SjP6|uarzfLH$e)iK6*+D$1m-L*m8QjAGFH^ z!4#H29_}tYGe9>0-gpLnEkFNVf|O((Fhz0>mN{pkLJV{|+nAL!+nm@Nc5q(1;$0 zM^XlI4futW(0Z&+Dmx`;z%>=+F$`--08{c%b07caoO2rfcx&P4E_cI%*(-V`x`@j; zY3;gE`&aF}^~k{oo~)8NnyMR&zN(UV^8aqFW1e}|cCqmFEzbNRLwxxa?}InfKOla<+Aw3N@!C?SkfJo8^8o_ zI-fw6;_#rs8M>Q+4?{*lf6ip$gGD1_2)F*3nIb$OJoLNYv87o1MtGo;=rMVHc^Mg* zzJq)5cfvzNlfHv34fMZg$+Pso7znVXSU~|SIp>ji?}fH(>3^H-I{4m&4?q0ywD-t7 z&`*A`g)pImWS4M#Zu;G9Tl!s%h6&iR8RREo0+8h2rQ~oF4^Cf%UjrF-Vx~<}RSZ*I zE(2MIVn4)+wu!iV_&KCBJ7WozHtAvFJ})oAL?hICnfWHzmC33lUvkOkcX2xQWGg~> z@BaL}sp{L$pV2vjL?679*l!~z{`9L2m(0`GtD8C#ot^Q#F%1oEW0p0nz3W%&ub4Tl zv7>Bsdu8sZhQ_w8CH3p>X8H^MuC2*;raREK{(9zN$DD5BT3H_a=?1Nud0!pn*^pUZupA z00^Tj5tSm3ES7<&%$QX!=9c9_0)sU3X6E^ShyF8t!uA7Cb=}?d)XA@&a=V}EW*W(c zOu_RclPZ>-{Zx1NQ$Vf%1X5Uw9d3Fmy}|)ud-_SSfJENUoGgFpK<0AjCt1h|evE%Z z;>VXe18_1@Fu#N{v}Dy$lYcahh+FBgOa3nO3B5w!-!FNJjDG1I;T;eXh*@fdciwr4 zjDCtq-A8v`@^_NF?=`aGOWz0iLhnbEgMcy@d_;QkKk$7ipcWA}i23ZFsLEMr>E*^m zNiljMCxS`D0CtQRk`;cwZFtH2PC&AwZk-Esg4y{wTFw0ENVACmqI*lPKgx2}QEvCVye^Z; z7cdw4Cy!~hT58(tTvkqTwpOE+DP#Ggikowbz?sCpE1Y-gkZ|y`3z*$+64-JWdFkBM z*Ij#OYe`h^Gw4gVEuZc6IEwvFsdR;*#pxI9Sj47n+C_64wj)Xcy{3t;pT-^ zp1g)@-ZnI(|2o#{s+>8q(rfAp^75*M!p%o28Vqk=(~!6B6Rq}RU(=z=?xM1(WkubU zhnjpJYqg*F8xK`aD#}}&S2U^mP@|C3P(crm1S=Pk9!@{A(q$bR3U-;imDb8&gx;j0 z;T429XfFCd_&s7}e*eKm7kxl#5W7Zh_&9LS%OJK_PssaKWeGE7bk2mF(NjBbZ8CnPRDNY_y0vqvSTwEU)@I|E zO68Zv=36_MNF$?~kh8xcr^0{F%jpBc+=KqI8uz?&m(F%qRQMx)?AV_(LB-(KX^Hq` zc*ZkN%k29pbUyV*rbJ(s3^CW0uoy3ptf1(|FpOf9QHdS+wI<@yAcjwBu(VmQ6c=8m z6b?EH45R20DOnSoM;S*<`PnH@ znU-mbX3h<@cXoy%caE$qshO~gkdgW$q6rpc|}mM zfW4fn2@zHg?ak<`h$MyQiiQ`Lv=lS5hhmgJXsl0?YsZi4E)8$=c$QBnnXh9F&2c*$ zo}1qk)E{n2YI&bMPp&&}lpO)v=eQDNTY=41B&;b>thIE#&z#?7w)+at2l>OB;qvN; zop}qqD&bJPd~C*5L)|+2Gh=x(#-YO)hiLs$8|GplsgTtp7@+wT*fLZpU7J+vUEW}w38eItqmZNf`rIh|C45G*4gvtuv2ThuDXc4 z_`F(~o4xr#n>-TrA-kYAe{7|2#8J7Z{f-(gd;Ga>&c1)lWrqs;pUj`koHIS(pOU_D z^8LS$#%g*dRg)QD^LVnOJea-VNlv(W8>d}4abi{VBvc^g{(<%>=A~8;kSobx+W^dd z&`(FbE}}m!n<$swWH;yBxQ58)FmSG&`4)_se1oQtH6u;oagR#y4*UV% z$RlzEQQ?Bxx~KCmCdnIwnIbM2*apCK_K0`0o;qZC^gB zrnD~peLitnc+7HIOQfYaR@=5i$KjSiQ`sTL}ZLR4Z5zHCAtN>{bMsjN!6PEI-ku9@ESMg(;v}J0-^JMuS7w0b5 znX@cD7-?=8W)2tRaCYfAMyrX35sT!5f6!STjzv9;6_lBvK768%HD@<*NHttQXnIdk z?y7^F`IN{L?uU%rCUVHqK1zo@akLs-EoXkZnBZUz#7i_Tpn#3a5+TYeLYd_#dc{U1 z(h#`k#S*5uBs;gUF*loal*U~7`L0;$=f#;4=AN=BEs2&1-}$2Zg%57C1^v#VI#-t> zJzRMAY0~-3eWdazv*eQV6Mxve+y^*iS4kA#R|fn- zu&3e;qG3vLMn`=l-=NG{P!dW@q#yXDaL&2329-vr{@Uo%C`>lC=j2i0{4mP|q$wR{ zgn!v%CnO%Y0uBjp+Bjf5$TTk4KkHU)cFe@~QB_pz^SCGfJ*?JQKf0@!=#AcW;GQ7N zoi;maX8SBB zw0v&=GnX)%`~NoZ44HYcOdJ!a{DCi*(Pc}iWH`|I(H=k{g-Q{v<}ma?m=r%QWf!J} z8H0%E83q-u1cZqn?7c^L{#>B=FH!3BvbI-O&wt|5F=H-$V*bp7Etk-A)B;d}v8Z?J zB4WCFFCq`qCkDZL$3!R|>lU7)++0^}S32aEDj4OA`8fRuuF~3gDH32)EFsOzy=Bgl zbuV3)$8@b(Z6hmq6?u zdXVtQzxf91Fn&M9rzk%aFfXVsQ6;NGq(q#$=}<**)WJ{ZWib+A-;a)nqTVnf6_5cn z4t)>}4PzEXog;w~#$Z1ki{Lk<(qh}xw}&MofCb9!BjRB5?P=tIsR5L1!lWmvIA=!w|rhUdd}Y5$nj z@Zd2XuQLzdk4WtBzY3^hY>D1*R4J-QL@7{T4h1Gs&|F;1!b2qrcn-4Ri{yl`y@Yd0 z*^pzgBXmX3x!4)Jdgi9aQKc`rW~P=gL~>^9sMO=stc>u zp1E|DPH z1|+>G%%}<4&@;lb7~m`>2842kdFnKRX;3oaB^xJ=tNn^$zN#HJY2(KGHZfn-jm65O zv2|Y|sE=$MDk`P#+f=niuhp-qLb%_?NizMK%8mDJtX!j)P1?vF8!9)6SVmEIG{8bp z2aE9}WF=dHrxwk=qJ>vZKCOv%Yh zo)At7f2FjnBAx2PwiC{psVaa#f^a&N&m&A4FlmWM^^S9%ZFIKlfmIcYLA zle~cwab?#R3c6H?C69~O?j5+5(Ku}I{&=DcPF1X14!C@Ld06RKKXaA|hyZ9WLm+u1 zYU9HRsSL0LRFN&gn`8*8j+(;EIWTVc&J}Lr|J??}oqO%vFY7Pd{Y6}OUwA+M#qNvh zzMOllm$Y2A^8D}4UwIj6VU8R*BHYKNenP=LIsAo_?BrvlN&QmChJE`sbiAY%o;Ws{ zJ^8}+nDF|rXml9KiJ>Kc>Yu7U7@IPDQ1zHiY1R;GVYn5!>kiY=A@hYZ6D5!jXKm9F zjgDUbX@8jR^5dZ3&mH;m`~C4Uo)bA9>NwaLyc_};espuXotf1sT)&St6D)?TGRdDT zPCw<2Figb7ochV#|KTi>N(;hPVQX42l#brCNgD1 zvWp5s5{;f&-4$_d+2V?%|A$k^r5fdYhRjiF3}qc7I;+Crs?HH`C`>$a*KxQcE=)hS z=pzx^E@g3}=pCRZL~ZT#1ON~Xut5lx&eUcc*{uON08|U3d`6q&Pp<)B?F42E1NRRy zJM%GAHH^}96C?Sr?6UqhDb*1YaDnW1aE>TLszQtvMYxNSj>v)_3QAO@Im7ql1+=foE6>vkVT=e zML-E2DW}+g0qxjgNR(UI1)Cq(jDO_2P2H0>Z=T$}>HXxWlfN2Uojavei`8=j+%dd!-BCV*E({dFq=jrOQYQES*I7_41O!tkCj<#5M2QaG8ryvdqK7=gu9TZr8csspKTHAy4i_ol!q6 z<&!|m64QwpObHr;Z$XeC@yn?D)x@T*VtiL!l|DIvw7dzSd8F_dSYno+%Z(I9k_YJj zv|M0aC;$HDo7~;~Dq$pkFC_j<8=icM@OSfRWQ@v%95YffhmKT`I%QJSENWZSf?);l z!poo|oEX;_!8Rr%>f(a^n0^QrUm-z17`_DZ-=T;mxdE-G&1&Sa35xRsy&xnq5mJN0 zK!wb!qvfZ98jkQ>%^p&%D|XmjyV>G3!aoc_lNykvoS^23*1T~x2U{uIUmA95?=I9L z*Jlw~^}!~T5!peeSTkrd+Vf# zRppW?oSGxi$X>^L&`5?#8hsNQ=(QGe0tSE&-C`W$&(dQ$TdnBh+>We?VZv27Gv#S`x zZY2OyBt_P2SMC;6st1M5LWQvTL6yp|2gJf0<7BwUm3uT-o3rxrvdkMw@MpJCqwJhC zsZ*&j?k0Nqf?0WWb$PpuYUTD_yS6LUDAXx#+PCi}1wHVwKmF-3dLTu?Q9A&nV6oSo z@k-UhPdpYrmPL~F=$s-#*jh4}6K)VM{Y!r-HzX`A;+Gyg=WM=6{lGoW=DZ`R5fm3e zUJ!qT%nyqa{2SQ%$wGES$NUcb69&&849DX!S%_!9&{1|m^t$s{#zpXjSU!ThAZ`em zpMkBPEKH+)mURqx;F(k6X~?W8PDi4?A>1LBv62%KdYqIl(To)^r+k4rkHRibtuKrp z+A+}kFuI9BP}DF9=o3}v!~q124L~~#QGm2Yp#;K80}BN8x{HW(2&G>btrLYno+H9@ z35Jh4PFn1&B4`XL_{g>k=KW^r+_+su5K}zr`hwB#F1xI|d$y4oOH{&}z~X<*=X;n5 zfz3sWma*%`tr432PLpt_&gu7BDvm9EuOiIYq6=p1X{ncj7rFYuMO!}UiUBs)BTs*) z1o`Z5JrSoV`*u2pM+f-Tl<-D7;B|slWs{gddl4xwg@uU$RM2QL(h>#HgZf$A;YVLG zl0$wIQT7Opo4-^W&Ft;P9i#4#aYx_(jN}G|+H66>&7adGyzLmnne=3yCCIN}dz^55 z%q53NnLa4o_=l&E4%Pk62f{t%3gK|tBrIdDXQSypVUnQ#)ZYSK&Dbq7n*`JDF?m)27D?iLX(kMOA%T@ zfiG0Ffqf_p6^<=Uz=~9Qb}N=Wa;dfq39?xAiLF(tr0^|+?3lV+4bD}=FZvDP!*|ZV zleuo#==FO+)Lay)iB4#-+S-?Fy@|QJIIp+>9J{11)nNVZ*TGkL-3_oO9~YaG97`l8 z*{J|YePRu82%1q-h4#rUt33k4Y)Nlow(4E0rq3O23t7Bbe$|x$vS#+eW=Ftc^%IBu z#`5&R9&0=M)JgGTyx2DFr|X7BOXMQjAPG%>5=Me~z-OXC8J2#zo#gSvuEokmLq13>Ks;moLJ;z3yyYjIm? zg0+BGvYJ>*qa~#P6T$wBIE>PGX-G8vh!q|}3>8NeL~*NpU@c$^L@~tDK^DVraY>x& z?bc$O#cGkc2@KvrDU$WVlNFHR@nrPQ)cb{S2>N5OmC_7h^vhB+a6Q4DaVe_5(lU!# zw4+1&r_Wz*i%LbWS3HQz&{u#fCNW?^PSAZ(dZ*GecfnPx^t#xIhor9}Uia*q{^*2( zor4b~3k1>VM86!(%Z+PMc6V6DU}B5XdIGL@P}a@}*xZcN_4A&%c+8lK56{0owQc&0 z+cr&|vU&5AsnfR3n7%D_{rtmp-xKq$XXeNZGSNw8Bf?kHe2W-ikXB#O|-cKR7uZ5(TT(GVQ1;IKD*BA^?N;j z@0}ix!ATR1xOEQ{YHbdiSq;J%Z=uHSbC@*_zsJ8-uF;r^io9-jp=FLI67~A6TB9W( zn-kh*Q+vJO4pAtKQNPEeH5!aIo6)4#n%(}Fki*jDi6SSb_5z#QlcAS z@#%&1i23tyME{#Ci!?+UvreNCDv`Mgsb5hG8a^*#cNk6fiCMnPiX-Hp+aBztPl4Oh zyHn6D*0IHn$3DB=tiNbPC^UlpZ*J0?V|6jJJs@Q`rA}qn+Rc8tYS7vYi29IOYhBsd zuG*5FF<(~HWYziASy7zd5#-z)PSo2q#2&G$?fT0GFSTxP_hrrNTFu!t*=E!SBi0Cg z2=SRH$2YzncHm7u96A(;d=Z&(Qi-??nsK-hIGvf`4q1jA~oib#XKO7tb8)6w1$r@c;e$bb_`&F~Ni2jzvZn2Fw$ zz~B)d_)khjggJGS~kwcJ`S$EEhn$FG)b)C?Be?Rg4{?f);@1;dk*(~!#;TB_6ue~koujG{(Beh zUbt{KVXkcLp4__g$fK)QtXTahxoGr)j=G9-8WhCenK&*7rYIphp6F!0FZDa$cKI}A zbC$PH6CR9|P9~in$MVcdqgHQm<%JWmV76W(Ra?!jyjZd}yEEKSQq&abG|$;JC;bSc zi%r_Ko|C*fHU5MMZZ-d!_K;<@%9@Wx|6OFrky`ijgBLxNotf;yC;P z19KdM9L-wjp>Ck8BG5)h!T0r&0%+sf$hTN2Lv zkjxKXirD2~To#O4g3+K1RK6xdDPT%wEeGp9$`BglwrgN{jB|EL-iaRh)`YmW(^uJ7uLBa*m(&$7XGI-Ke zN;nA09{>_C7UNiom=;}hVi~*+tXPQjh2p-!$Alh2G7T7~LDWZk#B@Y`_||eS0j5c8 z+}MXS8)x<*jNC9-9f5cm&Im-bpfa@rDJ#}aeD&mfrlGy%ww*gk?W`wa$f&eubjT!agn2CWzTsF$9FQLv-MyCyzdwe%0(XgSv}M>Fy@F$&>plh^`XnrC<3lF=|wT zxwE#mprEjD7ST?yA%cmit*xpe>+d> ze4^cc(iT%F0-o}GzhxHDd0~0Nw%;391a(%WY$gC>p7cuGwE}l#_6uJTU3%q&Du-Sv z1BNQ6(xHc+GOV2wta51Ju2zM;w9pK?-$vo<7hb5Tx!}@jjIK(9#}tXZhOa3(4AZCt zeR8mWs=yNvM86y>IS;5hz*qP;0}qHi0D~PqBaSeil!iUQlCV3>8lbEi7?siLw38X7Ay0^wp7>Q~U9X90Kmz9u zGh;-Yf!@kam`UQaU~ zKC^g{E;aY>7jX`w7r}f$FY=D2T_qmcXkvb7<8v^QFe+0lBwIdIEMQiJi?iI}QvaG9 zFIlAGEc-(x;`Yw!xJj5VRhrI|!-jRvUkNW&`eTdRs$1-4wL%XTJcV-aZoPtMmT%{l z$~8)|v|`{C&B}j2h3Jt^>K>w12|Y-kXd!bQUbiuM2zE$ z5%+bOo?z+mdio*1I#~xKh1Nl9@bD{9rvijuq<*AxPY@W|#D%3Lf z|LDW95-oJ%uc7PzKjz*$Fsdr;AD?r})J$)wlbIwl6Vlsc5+KPWKp=z?2qjWO?+|(s zVdyBJ6hQ>RtcW5iifb1!x@%WfU2)a5#9eiDS6yFsbs@=IzMtn#5`yBo@BZFDewoaj z+wVE&p7WfiejXa4W`Z0o=tf#%Y#8W@tEJz+IKR>U~HRPH7}){FA_g z2@RTRpp84qzJ|6Tbl~m%2s1O8`iyqZ5(?E!d*MNCf_fBIp0pN>Y$)^p^{g6c-qdT) z2G|`q!rdp`_EOQ1xd-;oeZW1skI7UsOBvE8XfB>qbJ|9n@GEyp#)N$*zuR$;iHTMl zMb6o*mJJixJe)xE3Q6_4>)`+&0VYGZT=+r_+-_y*&qQ=9TDu^?KY|vD9{9zI3DK(5 zME=Du$arMS#9PPZ2`ya}-Oqi0SJ|R6){pAu>P}GuxC!H>S(E&)JRvc zK(%pLIt!%_Ggh;J!P3mN(C&zQ%b!{2zgdp>O3i+p(=nue_40cDaryCg10&jdx17tO z(^oG`_H-m)1cDqwb`64b;Smyx)_@t0hzGhdMCC4<9`|!TD8jm$rK?L{m%e7ES5xX| zjVv*(Fl`#N^Ymjk_TQ;du2gC}db*#$3;ZWOD(u{Xf?=5$H@|z8nKTK#24ycWnW{7M zAKQD&^LZK7DvgHE{3S1zo_>f1NH&P+M;%Csfl8EPu7x`aIkw>Sb*g?XAd3zsX^HUS z;UC1y6~<^aDLl9k{x&4~;8i-HtfOnX;mQ^KYx5>mteILiZ%SkHXs&4RwL5E-R@LO( zM6u}hNxwS1`A=KMZudb^r4d&kLjbo*jB_XUZm7xw()$Npp75WZModdD;0bDHwr`R1 z_{sVCpn^HUU7WwBZ2nzSn$~Q2(Y)xssf8Q^yiQfaGpCL)?csqTYl$*OC+Z@HVq^XB zOye(GF$~=Qgsvvqt>JX}F)?~g{W!WMD}jH~8i`yrp|6CFShk_1l1@(nOjnF*SpCVK zPZ>c(Klp(l_zKcZz|T@YCZ0yA0EZ^D{lW`$b84Z^U^;j-tpQBvB00=t(w>;jRGNw zHbmPcyBkeUMyN*Dp&<=!4Z*9_kr2sB-A2w*DIcMAtDSr>qu8;Cw5OT*sv9K9fcGOK zSm!4y(a2K=dfsK5;!ihJii?WuI$xqIGc`8d;YdoW%gL@wbJ?B#*wjo{qOWdT^k9m- zk==Ptc1~SdlEaZs=lt{%`6zA(m=DT}5dFZ2(yka(5~#H%rX*T@>g=_aAidv5RVz4Y)D3sGFSTS2r^}yJIAKH`4lg%ntx|R z@g|#cj@ugfX#OhfWp`jJqBtUbHkZ4DSHKDHin0O4ELt|2GH9gHaP!L}3}X%RMu9^v zuS(%Jt&VKN;Q3N&Y~gBXg}t%bWVW+k1Gq)5L#s5@ZkEsLIw^XNABqBodZ8Z+V-=0W zNfK@`WLS{B9Hl>p2R#J6Cms(mA4-IIVD5qlOg);Cpn%vztqY4NIw=`LQ{iB&^7#Wa z7a&uV)>V||WdnY{zt5auLkdb=`8s!>hE*dQPt81kI ziO)fk1BII*_SGJx{lTuOLY^sHz={3|Pb?n%Yie4$M&R<(ilKI}PV{R%0}AWba;7QM zlhO+kSbd)<)y`7?fZ^f#8IR88g^8yYJUP*(>zlFUnxzNtoZYl6N1f{El@=@+k}>b# z?4Dj;?9= zS6nw@ob*rWHR+$@M%;ibXjl5MM&Dm&83`?45etEsp3Zfah6&wn{SbZWiSl#g2s8QF z!b4X)kx8BIv0a|9d#)&qO#jKn1JeLSU&g}PO{iQL9$?_n`%N@9{Doli;kV#$3Nk1^ z#U4_1qX>;tNcxH3ovQtK_!)Q;noSJxssaap?qI9Elad>s5bi2j#ytCs3 za>OCS+>#mBw~`ecHs)WC{zzU^cx+5Je#R3lToHj6;g(tCOO%@6wkpq&GX4R1 zbtJ>0R7-sa=3topyX?tUg83mJE@(3F#$*?KY=Y=`;PXg{F}hsA=r60uXOmHR?c0m~v#F!u!V#*&AI! zFCAz1AzPG%yv`L)O!?wt1!(?ra)UJ3BIHo!{9Yy?_5{>Guyf`FChX$Fc_I zzkl<0r)IOI1!D?xv z|1Xy@#d)U%ppGeWtaJ{l2B)wBCoHNdN?uM*O~xylSFjm1X(4SGMWdi;NKxSuf(5t$ z(yq)xWA3qIH}GW;dPcJn8YKu5f;{oiO;wizg-JCFwS~i3j<8^y&6ATjN8`%xe@W3ZTPIsDF&xo?<=iJvK1bU>vQqQpAR2|98e;? zywn>Lli7c4!^k9)D%NBa68o3AL)UnD;d+hQ!;L5&d5@<^J+vey>4Buo;w7UeC9Ww; z>UC`7uuab)c08w7zw+VUfg^7(8}2hqI@xh>QPckSg{{)#cJ`ZoB^^z5>Wnx}rQ)|t zm9Bv?Y4QiD9p9(jwKLujJIq}-HB>Ae=~c1k&Xe~rE;Db4B|o4OT`5J0Rv@-mt!atz zj@X>-1Cp1zVgT55j#C)|HMfmO@q}V#n`2Twx+XYdZTw(Y`5GfTH>Yk!#zc-pZW=AdnU&ctSGLmPRA#Yl%*st2 zE5@3|99PQ)1!p??$QLg?_qS8cq3YGk^9J=x+wtQaLmvIzOJ(X93s+Gg81?GDFTVN4 zi)CtqLG-vQfkdF``vU)J8+thXfiD0dYXo1A1iUiY;}P;M1b7IG9)w;9FLlWY2N_j$6R}D_C#tuFLyR zQg?8Y>?h+f4n;=rDT>*O1&SreUa?-W86MDk6bIlb(X6-=xcVo7u>QE>DaBdEvx-;o zHejCOiI7E?piCY_R(m?>8YV(eH+fkc1o9v@DE}J~P!EEwJy^lDDl0jm&=M6(WjI1} zhsug1OnxZaJWem}2`>S^DmBPMa~QOGSg}|L3CHQ+J#ajM_k+p-7#qsBCaS65;S<0J2iW7)(J59wVcB6%k{?6%EJ!OsS@Utz_$(y8; zY_=t%V?5*DFrIlzZ{ki!YtM2>w{6Pe9$-Sq>~eHS?^dvtrb=lv8>;ST64@AOhk#MC zHzd7!sHq55P!v@j9C-9X0WZ0+LTk2bC|f@z1F_*7DLz zruI=vvH$QnNO|>oNZOsqiluu5BhEgp6xpgOR(aQlPoGxv0hs4a`qNCWlU_c;dVlqi zTDma!WiF=mlT6^9KFbP?yQEJ)%wpTyIW&YF?FBzULCQyRsUJR;KJU0*`iv#~`OnpC z4l-gG(E_)Pgd|FRRmT4(%sYi_RPEM6;$3%-Z%5%{n>c_iJhrLhpPL>N-gq#SBPHg9 zDzo{9P0z5IZB?7kp52`GFuR8^%q3e+zbL)g1bTBFEEJU4yBB)6py1I-C^!=N&1nNd zCbKBK(G8K1;))gUZ+7rVPAR3Vw7t$6-x$fJPaG&+8+m@w#PTMtSUR>8IWwlE8>A1U z(8^i-@18xi?eGFN_%(Z7r8sxBlq5ZS&Db~Cl-F;l9Je^~taR<5acm>kyS*=)&e>K> zn6*kON8)>1LFFjt>#TO+!OahJ(gx)D`j_ncOO%}4G{JPx7gXF@3{UmqLN~)yN9>Bc zpC>`rSsX-oGVPMHLph6`su_njt$XR&Kiz!upPqdwyjDEi%D68N9r}`S(*JBYcVz9o z&$k{p(E9wnYv-(faNH~R-S=Ja_ctH>=)vYCYu{Y{=JESp5mvRUOUK`Q^Y~KX!uq*$ z+wUr^XJ)0&pP$0-5Nl^v=I{ zJj$bjzVt*|k!cGIjUTvd6KyVeA${ty&7gHGB<#Q1y14zTyV}$4`fA-A?XMQk9G1;8 zp5EWF&#>*jJebfrN6kWh2{r0A9OgK6uv*5?N2oX#x;mx`pR@Uo*GrC8yA6OX273VP`NcBT5$Qr0j?G(M{{P7piqRt*) zN=el73s(VL`SV{oUT6>g%o)xA9Yvu3PritOk*PmT7!2X&#aO|Vk=pG~2a{1WGXR_p zgE>l4UMm$H7b0r$wzikJ{oJv(mqs9+QS`6EILDZbuS@=&Z5%$wIA;~Ut2=)?DwiM7V8y|a2de7gte_wyolz2Y5-{hoV zNoufec(7NxJ*CD7ZahunGQ>M#l7ayb)Ka^pQ*2}^2^dYOPAi<uj~;F1rK7F4-`>hvE3z-Vn_W?n%^t`Kao>fq*aO)WY&#u0N+&ig zJ}Q*7oyn@G$P)Y0@>jpY5>F&PG#&KoJ^YRX^+K*%Ss=<$$y_-}L{UXErgc(E5-&jp znr?_BbPwuI#L%IiL?tQGQxhLhEFNIO&2PPbbo8M$OJ>hnvg%;{q2Ii5`}B85i|$0V z!QOX<^!@rRpKN0Z=T@CRx@XJQI$o|_piwYoJ1MS+k z4@{;Nph^J0Rz&vw*R{6pWnO9y>5qG@xbr22mF}0)L#gr~)}4H_qp>6$<~$925GmFS z&0^K?9>3KCfKji9ml=9*)MPGa_6R~d<|%laTO_^BzGM?4)z`l!wMngf1bd$Dc#b>y zn)D5~h>eq4r8agA3&T>^5wi5Qbc9S$4}>iqA?)E5ky+fW9UZ(72IOS8<1gH;@(K&j zloXa+bBDra6BOoL3kUoHL_@>&^ECv-8f4FE#sp1A{n>?AMziib z$qd)|3UYAtV1Drc0u&k(6_1!N+06DIJd)YHfVjlPDl1-ccwBwGrPxwmkM*Bj&`JO9 zczs)T=dI|h&|7Ak>vWhY=o3EevYFqaC&{Tq z)3qak!8J0(ysUS8nYK5}M38q_I^SDc7B9UZ{n3JhIN{&iL_m^m`s*5hGQUi*X#Er` z6bg?OrWdP`5fltDi&4H2EUat@&_IR9LpUa5W4Rg%4tUpe(;Ger9WZ1j`qB}QTf#b^ z3yJPJRD~)R&xINrsUgCROu=#5G1XI4iK;2pV}O@}KOO%07*Vf-`?EeR$EwxqVsv_~ zH78B)v;dStjN$1NIP~7JcXh{s)q6EbIU@q&-f?ixy=5Md=FW1>?>pa>4E#k(Gs<^oc+1PZ8N16fN=wp54FANlzWFAaH=&b{ zfQAnN$J&Hh3yED}MWOIH7)ogV@}!cEsZ;SyN(m5WYD~`QDI`rOS`C|IRmP8uznuy3 z6YU4j3nT_Wj2)#Thq^tT0U!@=r>Blx9f|3`@u^wA`q~sTeE7h|h2DfqiUHkf@F7ED zuYDvW)BRyvr)4E^ilw7Jav_Gs7aQ@|s+U+3X3)W3FWt2JrdKY!z4Sq+^g^o5V&0dV z1qHkqhFbheojd#ItY@|lQRzNyUi9L?d3B#|Oz?MU#uKs^g5D++Bss#_E~hJT&JrXc zz?^emMMC_0k@h`{lHJLW=t%Jn&Ha_?_9*|MfFDXLc--MM6MEpA;3i*GXw={t1haxc zP`O~@;Da)-23idkDiZUq^f)0+6fq@S=PW6PuYLV{sqOpMudQ0PYG8bpASTE6ZY)hl zG*aHwjnBOO%*LsCJTs=3HujEB7KN<%fvc8PNnxb6k3uS-^=bnQO7TWH*Hy)gvgG8l z85Q}%i&JB8E8I|<5bHDvy5v-s&E`r=ju8y8&IB#)g!{#$77yo#OK1lAl0AaH(6h4> z(VSQ$yN2aB^90#@%0m!-u!JJq(ht2_FagGX;(L(h1it7V^eiZib?`=sRIu_INiKC4V|*i)2yOAx9uOS);1I@Ox3+wfauYF3K4 zOuA;4)LOn_QC(VE-J%WUtrDkDYIq@X0)YDCI7@<^#YJY=;(>PkSyL*zZ_nWm%{ET# zC5_}x+2RxIQr_V`A6&?+38kflYBDbn563}g9u_;~*cxbq6e@C1CRBO&B}a9MFmZHg z>&!U}3RApc!IDO{B7B9g^xk`|r1yg^5$eF`>Vbc3h|%r%WXnmGaS946*%m{#AHL;7 z=?R!_dYl?{EfP$pnC0-+&-WUwd!@fx$VwEwO6D^=?VyBEslcEkgpa6}lN3z`4yHZX z0PJK?bdvJ0Fj_W+No&{9n%>9*>{puinPiN$s+-au%71qGl-(Z(C}l zy-X=>xb4;D(X;8Ib!?q{o3`-fx)3Rmbs0h!^KMx*b`G$h3KiVGf3^t&K3Le`N(YJq z`T??m-Xc>Hm9neQeEFW!XjHi*jq+ootM5tgo!)c20)egr?CPwRuUfLyNo8iMvLbTl z7wD>#prGjauD7x7YW3UykBu=V=6-d>2Mvl# zTMd@Tw#(HL(Xa4!u(TMqUOM{n)hmcjWIp^F%XAv5s*(Aoy|L%plHZjaTRM->L;jn( z(Yu2hvm0`_bA)sevFNaIg4T5+6&Jg&Yy|O_8v!qQUC|6pyf#nEG;`oi7ov(2?tsOx zW$u{H1LI1Mvb{(D%T}Up@bb~XA}v#AsS~tIo6y!hUe3Hpod>3stXub!RwUgIXogZk z%z6oQ`n9kwl4ZuhA>I2=`@QF9hzRu%%$g3QTQ>nzmM@SQ5=@t%DGc~QxEVaeP4Jqc zE{Alb9FSjsl+J($zLMM^QvCIE_uhN%b>{Eb2iB!!>8wMCW-XNs%-qH6SFXIC z3q3(Y{R#O1|M$bvH>XTjkfI*9XHkN54q(mprAzIAYmU6KiOt`%2|=Delpg<6>)oYM zq5=0I!8m-lQR)EeDAT#pyIcQs9D(S9f?ZOoh&EIM?{pHpqp#BEz&v%nL&nrW6Gbh|z9nE=Zz&d4Rf@@`|1|q{5LbefQW~ z(y@Na-`H2D*4*%?Z7cqGjog2Fym_fl%A@S)Jyb3{)5Cj6+>5ufz_Gs;=VK3ci$ultSBF&OH3*5JvSrRY&ov&|RRcDKAZ z(cw&Ty~QfLtM*D4J5(^?V^3o8Thg=GgEmxl+BF8F4JW{^@$+qnKJ#x0Zx>;LPPL%3 zDdoN=vwA^5&Z75q_c;@~T)1b`pb6d5zaIJc$>lpxad^4*pst56UgwNs`X^hT+WSqu4jr1Y{0Y7^+WF+oE2$aU?qR7TA!Y3_<4M?r;FMCY> z>^ypYr$&JXSqv) zJkOTO`5Ya&wv_O*k&sroHp^$Wtud4XmQ7u&@r=;Yy;MG736DQB|-Wj=&+b6p7iRe>0zW&L)D!&`j4@G&%F8+)rOvC}XxURy=?4n#mJfM>!i*&PxL}F-W zkK9IO;HJ||)yaiLUj5NCL14o|7!omTpTvmD-|p^AUS5hQg_f_|cA5JFKL-naH`m7n zI=RB=4=O-BzC3o)xxBqV0Xqb!Tu66N_d)rAQ6f+M;=QQ_1*y{N7hRv__Fq%6 zbo;TFUW#~VpBOGkZ9AD-z}0_ob4dyNou+y3yBady!b zsk!m-lN*MHO8omWr)7?;DG;?sk|%t|#pff(gj0?OGPsDT8jDC;_neTvuR;&>6WRxhYVu;z}Q4(tjcOss|yB*Dg8?( z$7qdB>%TlPefo(nCH$-!{@qcKb>@6!)v8ydFK_+LNon%-`Kw;x3K}$`)|2TElxOd4 znm1NGzMq5F+ilxb_8P59T@woAsifhZH^I;PSC4-=bhbE?ZX%tNzIxlhm1xPGGD9ey)#?$3zhFH_?bxWu38Tp`)Pc?nRWaOu>(v7H@ zlDf9o9vj%k|G|rRTJ#G<8O$^XX>W<(?povI(@G+4a&HDuP4}|f?kLjO$)v~`g&X*S zz!hZRIEaPq;YHFl4|uw~M=0fi$Bt7-bx&?hoe~UINb3*u)8{@Rbbc6V9X8E&&~9{n*uB*L8l|I+P0y*hf| zNK4U>ZwhW$9hk9v`s9A;<}&=58;4Mm8R~;!)xYHW6)Fhbu&aL56A>mLqh-iT)S*Hi zVh9wVw0xuvlQ9-lBDsDgKH@D7cZu={LF`@K&_guDLmGUhP(n_=q-cY(TUG*b23?^S5*O33rKQWp`|kc5{)N;`2O~X&znq+_Ev|3VnupxP#M8lT)F{tXa(Ls#n=<(4Vni86uEij zxr*|XIyD@2Vjt;y08EWu4f$gMAVxChP$i+o2Wl3vT ze{-rKhD#EJ@$K`FxbsVGu2WcMOEg|m@UuFOGA&o#{-?NP{RjMKe8)2bxiy?IQ7L@~ zEfdOxcE*?_JT62j^u$+(_uY>$)saQ&N+fmRWYqgDRx#?5Qhg_K4@cvaa~1tzS?^#< zW`Xyt7j(Wa8^}hmNx-38$$rhAWADKLBXMvj6bUJf)Gkm>Ad7i46SLo^49e>yI{B2* zb1>K990uf+PH-K6bk+q9Dnu<+IR{;@1H7{%dPl))ptQ$`M*zGUTr;9ez`u}u>kM>G zdt?g*8%I+e)b4ngzX&&rURUgJB1?hOLAO9)H9pXprr|v~f`#QgMR(BzNda6c;P(@r z03L%p=H<{f(h)kKOoh=j`b@ino(y9E)c&-jn&BEcOpjEmQv41l;wO9}o`;I#a@++C zlTUGFbVU%HM*z_j)J`r69t!#tAQWWU3>5J`RR9)gdB0CAhvqY&gwCAycq!YK3^4~= zgvuc}i__2?MdiRTvCB_ZqTYCjI#r4M&?vJKP&BlM1bzo!Ovr*hl!mHR9HfHCSApxH z_%)>}6=iY?K;_1Ud`+soz)RIq6(jc}KB$j;D-mGp)GFlBi{i77)ILjGfMX*QP^lu7 z&l(5Uruqbjqf|dOC42C;y!70*CHgVZ)g10+)+;q3rPx=LC^ij82I1Ce|5%%_=(-gn zxbM_f6&oKe&TDW)Mnrz=9GeeJT~4&Bm2rjyl}4ACISiqiVXrP|R(u;|{6mGadqmF3^XjRN+iBC;*8a(j{I;}cU z@07mRjC2VJi8lAJ)Hr=VmtN#c3XOwZh76tEVRBtO>l&%?SQ8V{lltr9QoY8)prCou z(8rpVof99&zo$0yyxyFi#bTw_FYdbQi@S>F%w;NV(uQP>AWGk<0n_p}Cn%M=l&#W1 zQ?F8^1u*a8faiGcX6C%>K4w4c0nm)O${1f#2u;08%PBRg8040<3Uf<^7?%ksjlYiN zigUAK)MicZBsK!MG5oz&H;Abliwno-ox*RPpL%?X(#a)jVzRVWpmSMAb2e^;|)N>Gz+l?B(pIZGYpz!&J^?7uV3IA#fDWGz5!-lJEpLB;|`NorHQjTszjmC z-ebKXp;DtqKHLSOI69@rx=>|QXD6fq?ta z-5z8G>m>ry0eLfV$5^$`?5;@f6{yy5`LRZHqQn?YqRFDyXcJv_HU9u$kEVOCO|l9r zGPd;AyA6iW43kmImagUdZ_S_Xj!Uu#)}(89BpZ5f$xs?i(<{xDYZnP<%WLNGe%~&u zMWwcF>dSGPjxSq&{P^-^k`Em*VFd=2jvv(TNui+u&2AetQZ#Ze^;sFGR$5FqCvh8{ z`du#s^Pjs_ZwGu6VGOC*xC{(QwLV`|1K0^SVH%s+ssr4bxwJx~&e7|W($FlC%?8uJ z6}p(fyy8F|$MyZ7qGWMd(e^1woB-f1t5c`f)%Qzz-EQBPpX%Uwdt%=(%Pp?*dDze) z=s&SGi-0^1XD9X9Sv)Tgqgz>RGUTK9NQ_N9Lq83GlELp9$zvM%ysz-gU@o*P>@ot8 zBvrYXgP*h~k1U+C^6S?vCHzG9{bO7&w3J&?jaj zO`h0T?TZV?l6?;3_||BI3Sl44qHHcOwkQ$U=jhB-M2LSD|0j}cLI< z(l?ECuyNw1O%tPQd(WNgxDj3x#L3bUEsH+V89N2YUfIe7UX1~7qNg`14158Zng(zOWHZZB`0%GAORjEQ%lLEDZf_T|T3sl8!I;#U` zLC?`F!N%B3r}6U1%@mY$MVS)1%M?`#QxHb|q%`cV#bNea923nMVrzz3v?}Ns3Lcz1d|VaGZ6{zYv(1C0 z+pqM%ZPX1Mi9n&bNM3gq;|L#;TA-r{g+kJ|O$amzg;)r_FfI5sH8n9)NDQ}1jp0aZ zYk2S8a4Y8yvu1fU+MIZv9M{m5?SZ7OAgFjHo=>Bx?N1NlS0B$s*YYK&MZ+^&$qq(y;2J`Akhi`c2ew>|nRVJ|Sf!+aP6 z1uA_3C6dCF3pjd}fa9HiZMXut9k>Xpb%|a}7jksHyp5k|E3{*c{y2Oi_|PAG zh`OFh4RBc&G$TqC@@WrJis+;irPD*bRt2ROlCzhji^!QyY1+f=I%C1(1tSq(+8Eti zlHSo+GH4`rLZ(DJcgdJa%=4rhKoU48cD#7g_!Jcr?WTl_Jqf3{>OxY?6EV_v%-xQT zUBX^UPkbEd+B+0ok7kMsTAXo&M~7hU^b)=q#~N`GGPzUHO7LiUnVon@I@HOJ-Z=_6 zDirXC>;@!6f{D&`N1+2C+EK9_`LL3i+Z(_!_!&XEfd~XsfPsT%7pdMLl?I|2w}EMg zTKqJ4TXlP~Q?0%AR;}8pcRBf(9XpU=*4aMi(;@xluMTYQmB9vauS}aUf6bctGp6Ou zPE1_?*wn17sgJFn!PktbDh-XS0y`;{vcC6PhqjmsMA(v`xE#REiM-7hCt#Y66{;ft@pA0iz} zSjM^~tb=&Orj}C=FhH${=v%+Jm=XiYNEry&a0^Th zBfXyf>(lt}6&c)%y(v8>eTO@|xAJyoIC4Z9vg7-^8t;(adGcQAk0)o`^A)eWqB?S) zQ*`rc;4Q@;&B8y9Oe4?x%k#91=@+#jfR9jyt@?H-ORah#q_>7ARkh39fB@D3W3KC1 zv&<;a&PF<|bGI<`^2w7}d9$oZp~+O} zUY+{il&BYt2mU@3DjYROmt#gF2W44BEOhDDq81nEf`JhYWw1aXHH381y+hdo+Nrn* zGQlg@BZi7}u929YwicQ7X-uy$NOoFff3r_rJJrtqMjMfes@&YFTw(Xb8~1JAcjLtB zCDUgMmLV2l_Vgvy?TV}I6+)DKArj)lxMkb-GKVQIL>(R~uayoQSSqiWaPQozjwvmWi`5;Z$A2@%HvTz`RJQFbywZnQ^%PNos)tAUBF@Ka(SRW84X)B!CJ#z22<*6 zFILV6JQ&l^M}Q6(c)JH(8`__uVljNax%qswO+r-n#_nxVZllNzLw7H&?od=O-96Om zbXsXk=-Lv)$T_oU?p$e+)PA|jkP`P`MC@VW<$aO9N$Vf_Zu92v9$KHI@}zrIS8hh> zCproGM>Y@@;Nkzjs$nMc*boqi&}q(}iu(OxwOTtA8vYwi|HV6pd_H97;{N}6O{&Vv z+WKw$`|0(`$?H%5eIwCdqWzc4PO((~o43=5~p6-pOh*OVS)S?o$2~{+?jdTqg(ywmH0_V zD%`WDkb2Y=@4*P`b`9v^k4Q=o4#_!czsI0fAd?iXC@_o9#e0#hy+pL-V29`mXdqPPkfAXtkqjNQ(vnVrWf-TBTXy%VpThV+J86Ln zRRp#Xoy1s_v=%@m47R+Ohj8Q$<>ge#i&R$ZM_w6-#oGB=d2fN=puxe)0#QAxvb3tt z?34ue^qu+z%BH$Vc+`C9wIREv=|ts@$wfJXgfPG%Cg$}+WMsYTKKgCVO_kpDSCH5n z*DH-ZoYw0H+U>qBy;99p<%HK14i#CrAf-58b<^}83QMISvAK0k%SW;FnwhQBcCpDD z?E`46QTr&Aji3|xKw?*rVpx`w@f!#AEj1H04z&!L1u};mB|_q9*O}dIf%q}x+2Err znV;|_NIW5zU}}w{6RO-*6RHmRLV;Rx#SL)}rWC7&h}cK_-4AbHnrwAW+coDF^$^2# zBO-Nu7op@XQJ@X$hVgiuNT$^GE*c)VO9#;?@nOf$#J9K zcAdcO&UtQNnXqe`S-EqLWJu4H<`178%;gmQ$ILyD!XBEoODLoI%RG#1>xFj%ydpNI*<~C9GFl(tM$4k0N>uX1e^R$82$DfY?lLM-#^|M8<&5`68_?lI zW}+zONRW(_aFD}MYD}OJQ}BB<$_SQq*+!ufh5XaUDxBptqSQY3z=64ovj&epFgGWg zTZWn7!2B`N{S$6Fe9V^`4k@*!YL~GJViIz;0siMG!tc|X;FCr^q9f8_xFK39z z5-I2WGH22Jku|J7vluFZ*S4ooyO$OX$ni<9gm>i!MAz~GJ}qp4=EO~Pa}SvReqe57 zdczL;XeamLz`=%~C#On#NLyEMNr9EkdUd?r>nI3mnhinTd_i3sNUt)y6hfHK+!rb` zXLcy8qjdwaxZ47?>pc0=yE*06Id8mCouwWT$QWb>#q8{RvOJh3vil}EG_c8|{0VqtyR!Zfb$ zil#aV30s_eQu;?G-UNINjDl>lDw0u-0?ouQGHIr^Rfa<9+R@KVF55$ zL9={*3VN0oWRD^8lK`fee&v8#z7vuJ@%hSBp1jjjG5tlyuC>Q18Vqs$7|RH0l1ZNm zcn$F|c17tRF2fKn^08NkuC~t5i_27NCz>~nt>0*?pJm%vf6W%dgjK3*wLwQ-N`Bm& z1EmF$*nf1suS|32`aPO5UtWmc96wD{?#r#>m#GBxbaj!3do&}3wU^WuVW_?y8pI2s zTz{EnS^NRM;*w%=E!$ICnC)O6Cb%YU*N&b)YlL(syKls-rDL@>OpHyH6sk;-CEeXEy{d`^M~UA#LiWpps$zpKvy!{UCw86PWiw7no zP1=|^!8E%nQV=DC`{xYobKtLT=B9rU^MRz0!mkt$p_Ww?B37WOaq4@$`j(`Z(L4|u z7aU$2XykeahldZ(`+yr@AFJ9n>AhtOq}`zrQ8GB^mQ*fv?g2RGft&C8cD51mja~(1 zv7Mp-OGapv@?00KVgP|-Q5U9UB8o&0sS$u?X_TP|8;v#u+1bLLF4)iOV(`qOG z_+Z!c5$&Z+J^^45xIOwhq5%T9hKM7@C1MbZ>b|+VoTKeK8Y0u@9{9WYz}&h`iDnS0 z1p9#HPkMre!2^Q@b)ZdE4>-K`c(s1Bwkij^n>C^KO7(@AnH4X9D%FNwGE}8QZ=0Ak zKsVaD%RDF}FhZSG{l*(P)#W+TyZN4VwE=#$v*Ot4NfV^|$IL$frkh)qoiq2q_`z9= zi4aTeVofm3b?k6OJ{xI^&#BsGGG$s4rH^Pm&BYomHehAXa>Pbf3|N%&CFdmlC=^Bp zZ+30l--!od%UJJtpe*)(UenI&eMUaJ{~-y3b3542idFMO!6?b2KL*5!Ij$J_G7Sr+|rgT<=t zsL<=Q<``~>G#0^__eLIyF>AF3{@EC_HF6;~L6xdO(3hF2gbH=ySZWa2+&dbFKp^3e zwTe+xxh{U56e!Uk5YTuaB}C^z2aFt77)hW|=r)j$!9=k1^^Cgqj;cXLuOmT+^`K4t z++l9Xd(sZG!DMC& zq&w(71cMWseA~_!yk3%~qR#;naQ4Kj;5Z<%w`pUifwy#_ugmdESS=N;VdElD$UO9S3EG< z^u$wyF14y!M7QiyqR!sd&7JEVJjVu68>}5{r%k;7QkgHVkQADXZ z8=k=_bYU2mRIwLu>Hpw%&){~rumKQyKkbyHtNsA`x-_(n6?TPamdyb`avHBdMaWsO zt54Qu4p-qWPhP7B zf;c!c(gu=82Sjrs^=VKnkxz(6PJYhqfFn&1ZtFo|V{lk7IIP3JxOp-Dg$;}AhA&y% z+%e$T(q+f){QQ`(@z}DZ$FR}yvGhOBT=(|cwQpbd41cdAAGJjgY=W z7F48EVCw|7KC4`_@Q`%j@Rl#?a!2Y$yX(H(a#*@>XrZP&i!IpCZu?U!yMarHK0e6N z(~Bq3GZ!yrav56W2OndfA3OH>F)5v`W5%`T+s>~Qbc+^_KlJwUrEeab1kY#e#%sW1 z1)*?#;Vn+n&4y`=>8%LZ6ul2fRa=XEk^i@E2CN;a!ad zLb7BsK+ZYv2%?eA~Kv}WS~~$IVP{89HcxWKO`4m{y;*=fr#%bZI^yvS|Imm zr2~&|+VuD)mZcZ;>Dm6JFV!%e%N3J6Cb{2B()Y<@u$s(tgI-N9 zYAPLnm)GYB<)v}Ukzx7_?)1Z%r`X|56DMriG+|=o?u6{LUY@ub`ylx)dY7v|{EuBO zy=x5J&t4Pf>6Mn9U~?HP@q!^W-hrIw@fL$io(saV-c6`NQhcNa(eFK6<(5t8fviTe2ViJK=*+{_BKX?>ElzO@@yBqSvF zNz*#g`_dQso>?*!OO31{6cAu<(q3FiE&KoQp620ZwB10gn54_f5&eGl37agIM_uR9RZ^068 zmiYOw@^LW?KR)u|lLbf_jS&FekOCpqT;|9%GQOuQbSsl8$8G;idiH?_rDs3iJ|VBZkLUMlL=mwS2y9+vhCwAg2mVXn)s30E_tpJkl$y z*fSu%FhyERIvs|x90U!RMSV_0WD!gih+;(WMJf=%Jaz-H^c2Xf2DK-8TR^l&9k}3@ za?<-kgq;!0Yef+X4#trn3C^E&f>#~#I zcUa#^@*U$?-+p$_eD}hN*#47Q==?rw`4Z20{bwrngkfNxc=j4&JIW*9d1i5sSO+*FW&%vPA*H>)gG#i^0hLJ*21Q<1YGUj9u$uxPlPzLa=~j;p(&6w0j|L+ zS^q(P!zq4BFh?|wXqPN68A-trBv@WZOt~0*LGpUX%neqUQlCHr0C5Y_z0Fa9fobB% z!=ooNa|I*AKjMjt_oWnoH<+YZzIDfBUOJ{)wRz_x?uOZXVw|AwGx)7Q(WgKmaY(sufE+i9hOTeI~Wzvk|}?8NQ&OYpx(+-~s6w>BC6< z76Z3v6RTLE#1*I8Xj~zV5_+VUWov?40ZdQ`)3ig zD>3e{*bD1=6;7)0mX&HCJ~?{D_r2%3!Ka(|&r8Tu_sbqTJ;Au=dIpjraHH>dSNigj zf@NRW#740JEOVmt7Xxn|v4qS1U0*eLL?(_%RXOvtPxs3lS_1FKLO&<;PUBP-y_%mq zLRXfVTr)E;{?$`HU;V(7Y}}%u(md(;^_LVM+&8V0#-aY0&r)I0R}c{s$Y&EKQGjz| zFc4@EU|0#>8?duTKq@c*n$yrK2BItHr(uKi#^;YecUbyrX6-eCa82z@W;^`c@zv7n z_aqq}kbe8=R^qWALW^|ox{6UHZ0e_fW>ZV+E3cF8L%B&lG2y*^3onlV>?GAh z6;vKl>Hz=(uK@)_A<5SwXz?m}ivrRK(C1|69|uod5tMf1oQo@D2Uq6FA=L|rV*7?a z-aPI80(N)FXVSS7Pu=tBU0-LLC%njPkN=|rsYT;lM#ZIvLbFHb)y}A%J8J&k)vpdH zy!gVDF-vb*^H|PQc7c0WeD|i^f8fTJra!*Haxu&~K& zd3Uj4$PD=Lq^=Jk;J18h({2%8Y6Ds~_sB6=z^7_BUrp?G6 zT%8{iUzO1R?6G4n4fFL1>0@-x+sQbsIx~uaN~w| zd9+gKA|&h41|$UX>Y>0*d5PJCqE~_#2Nb#j&t^)>Yal@%pFk=(qQm9f+!=92Mh841 zSWLm`=&O{olfYx_X7odvtfHF`HL0~aU!x5w1^AiMGf)EHb%IKE6_qZg`_Vx>e6@1% z-b2TZAG~?d;_{3bp{P(~mc)XYQ^T8g-?Sw>MX5E$*wZ9?RfRp#Y}9JXt3<8Q#97o; zRVJ53uT)i5T3iY2#hmOBb?B0DEpqtnIf zHLAHY!Z&Z(kYEAn({H@z&V$$Ml#9zlp^B!ay|cz7s?~{%A2(p_%&EmCB|(%};H_S6 zq+DWcS(Rwwj0TmqvdWZX5vwZAu7trW7S0(_H(^5E$k`rMg4vWftv{>hwl~f?w|Czg zCS5_Hn&*`_&6-g?ux?O;G_7CF)(0oQuxsbeKnjQS=W5Yucy7%YzsSdmLWT!Ev3+G(b#j%Fj>TBSu>f^ zpw__F0smj++=867(&hxO&!GQv`Y@|iXYj4uzI)T`@{)$@R_&ZtU{4vVwD&FQYmwg1 z8n^EB%;|Sbsf>#>R#(-GavA!}UQpRrsZ6q(f+PCnmycgQv6sdOggjw+{)1!E-!je1 zukU5hTC;C;s5Cr)iK5A3InI=)RK>7+lB)_bbh=jWP@7HX=rcB5nOA?)_)$A2*7Qo$ zaO*4G0nXta8BFNAV*bedf|`lLQzA#lGi!P#y-z zl9w(wls=@q58ZI?bE1^#wBlgX7XKVt@AV>*=n26tghev}h|K z49Acbsu>qTZYYI_ssb#nyBT=J<#h&UrmM7CxM&D##>LSSBX0?cmY>wwAlHA`)f=OXtB?`4oRisQZ4=|BwuRxG^w2{Z{!MGYh`{_h${bV>?josn9j zE%O13HdTA$f7dKrUr7PbWp}i_aX0z4k>3ABV~{Kz<$04j=?Dpb;8r?+FhzHU z-72GEc6M{Q9QHYionTo|*EUFRa|#+Hd(T-CE%&e%V`MQsn!8EJj~<3v{KOC(JGYlk zTS+PlJll(L@ke=%@=}~dR0Y*tAx}4P1V41{3Y zb3@UnR7HAX#~FtDqpEy}jiG8i15RE?NGR0)(x9MQ3GA`4H;@>?i%F*Q6un*M8VW`$=60JJjrr3({3V6f+6E?_ zXIK%zv(tMgdB_cUh$2^v;LFJ&wo?b(l~JYZ7aDC@IueOP0qa<er^N)+%bc*@!y_d=@)A1hV&Y`*M#|WlEr?!!7C(z4)c>-EE zpq9Zhrvcs%0%=!;NKYN`75gBWmy6Ja!2^<^UM_akntdtFmX5r6)5ft0u{j5?%`6>I z_8Ob^=9_E;Rk*tL1*t8+QZ&X2yojLM7*3UE?-lFP9eL!k$%uQTM~$PkXW<=RUElQT z;DW~SBP!~LDB9cdLiEuuqtzg9Xc{ra;Tr)D(_ z8f{rHH1A@gRZ519o0R9v4Ahw=+5h5r*Q^hr$K^pAYa45O%)_JW!dBpq#2?hMh1s_ zNS)-d1Kf}l;-q2RVAu!lE@1XRlIuK=%E9l9sZEZXH!m)^HfD0b9gq&V#`}VRPuER2}!z+-;9AM#K$N(^$dr~Cf#Vz za2h}+P~E4?x|v+~@r{7BhipAjgAC%wWFrj7Ir%bpVMBI`Q1V6Rmv&2a(w_6W!t!PHqx-(kdM)E)4Q#Px zP-b~U!`iXZL$g`dAA66kU)FZV*tHD}#*n6!@*Q>d?xtGqR)#);Cnba`p7RTDL z4Q1sG+(W%5$K@2jXmcy{0MJ0?lQJ~u#~R3rEIzM7x^I# zQlrkL(`qx)(=)VMZL%)2K%*(RKo1+c7JY+ElPhpPBBke;u550~+o(>)t6n8i#jmf8nW1XBHhB>5lJLC~XT4=89`r<8QxX zqo(%VG->F%p(XKvpA?60yrrwZ%D(kcH2MUE0zD1Ak!E1(kZ^knV785N)rA@bqOc%O zP!I=&sVE@{{0sZsTw|meq5(^x*bM>FMr&&o+{dHyl3e#>)E@J@7ph2zpCI6rl)!;} zbZJoGMHSW{k6`f>o*oHDoqQ^Sg`fw6_kl9+{lVYw+IM01=shnk-1Oy;KP;4Pf8|%w z`){vX_crtW>O5O4g}6tS!BGCqqg|HrN0IE}_;t7Y8@Ic&W3<^nELwHL?hAVtzPM-f z>iO5*)3WYu>3vWS+~OUsT566+u-JE**QM{jl$JF!1d)`aqi?&xr?lc75>`tm9zoE< z{APq=n1Sfb#C?%N6Zo-hk325iZrd06icOGWI__c90jj(4mX42>@#7+Kjgvd>V#B%h z9UpOM3VF^}hM^NAd+v4UC~`(}NOzE4kg^8SU36W<8;LqX;upt~5M_!Mid`J8y?hPsg=j2!n+uy7P56f~wevR;29`yHc6Wcp z7?p{+Jy{-iw$DD)WbUgnRVP?#tmy^Jq>2%{&!hX8T1}V#BPJFihc&5%`_^P?;+n9K zze*Ja{BAR*{=e$p13ZrE>KosCXJ&hocD1XnRa^D8+FcdfvYO>?%e`AxSrw~V#f@Tt zu?;rW*bdEw&|3&4)Iba*Ku9Pdv_L|PA%!HAkP5cO-|x(fY}t^!$@f0r^MC%fcIM8V z+veVL&pr3tQ@lQ(H{B5hU3cf}4x7V@V;L~v)I?6_*wq6t@dtRqF(&Zxdh`_-87jFo zg{9(bQc^a6km*oxBtb82j0+|3Gt$9d#X?J%2b?W%t;(wOlfeAIqtZ25;A4nbqKVe@ z8qq%asL^OLI8WZ5S?G*P@uv8q)`9n^>;UDX_ULuK%KXB_tZ0`vF~1;IzRt6IISK77 z-|gv)Eyz#wx}viZ3-c>|-7zgy^wCu`W4o?X0{{rKZ1(}3OoJ%xgbRfJ&Tt)B>$;bt~Ya)oH02^A> z?zHL{FI=YWUC4L_u%Zs96<+WowQSBTzrv!*aGs7Lwv$2y=zHr!2B#q>)@n^jG<&zc ze%{XG;hsiMezkXY7Y&E#ncsi?kFPxOhr2$1aeo!7dhU;Gm3R31ubRC%u~1x$o<2R= z8k`#4%yc`wIbK)1ExM;C+7=&Q70n)*)D%-t6q_iRE0U+rIPYg$_ijm?=dI57%-;XT z{{DGazWCW)*MH=B>?8TP-^D$-<^HQvZBbL>I~nhcugb8+Us*55zK~{%u8P0)+2_6; zKQ$`angE(21O97%3H)Kw^?{5e3Q?J>K!-R4#1|JrMzTtP{cS}&H-*?hL0I&l<9B)i z6o@xu<10Ov6^e?+7tRS`%uDbl8>L@f`0%!E4`2B4(2c2kKkj|(ycU=)HYFA;TE8$q z!RSrw$;uu&5M2;nyJlvhWBAIBoSaoVU)Z|&#fw(@lk>v)QC#ne4`vi5x*f|iGwWM( z&Hnlem(96g&CKF7mzmpEY}>YC<+g1 z-E18(f+jMBv@km*uT?$Ws`}>>XgO8h2Io!Cra!F>uk%$gXCXL2%;_N?C)hp_*NI3p zLO*9c^P;nL+SwtN{ng&RU&-&_%08v`D05%sR4GB}+=id{&fc$1=bESTv%dZrXyY0B zl{^}LttWv8RCRvzoLD`v1a|b__0`w<=ggRC@<{)xcgob>IE|eDZEy5ZXQ)H;UvvRJ zdjbx$K;{Ty_n9R3hq1t>(ZxW(1Ldb;KSs(Ir|$s|xUMuAwG~zi!?c^=p=Xxp=9N5eEhR^|KX^olF;(A#aC4bl_-Q$^6);{6eB9CdQM8S1*_Np2I_X^o_%P!ZYABl3X2mGHCDR>zQW zM&Suv;SA%DgXBtCBtD({cutV6nQ`n0z7>Datx)gle30qL!MpT$DK7KGg=;Q}xGrCL zhbpgr$I8oHkxSNCrWGK9?4#dNFioHy99v&Fd2%5?fZ)kv93s_6;?u<(n9`0*t40`| zB(GDt>P$EW@i}5Ty~yEd;=6Jidwh96CF)-;PiHsfms7YL@Sh4?@@vou0_@DgLsq&# zhhK2HffFY(<(4WC=bWG-{d9<+MByX3&V*<_x!eGAnboY! zVK$59QoQ{50z>REr`aUTlM(s=hgAsum~KePrdLx~Ny(-!FvJ~G-=7XqIVNI9;pqII z$6`h} zUU)nZq6Cr^WSIYowj~UDC{{Lwnfvzd-?yE;CcnZ0a`CA(tXe+0Mt6$8THSy5Gk<^P z?*8iW0Q+#?e&O={`%X5q*H{4mUmH89JGBO)3O_&wHUI?r!jI1{DLMbgtO5wHLJg~P zGaEJlV5LoKmoBp`3*P!%#3>-bN!W00}QqoFh(U5 z_I3)fCvSpLkO+H)?~@-H`}}!1@Vqe~6-Nv>$hb*}RUVB()kzcIXv>RX!ILKas?#Y8)jb>rWA^~=6v($U zWv7;bzCwQyw=J5D9yuaR>)f;J%XMt|KlfcEXDhZ1Mq5|NV~=fprP4LWRr$)+$KUT=ltlgu{Ty{aMm#cPR0)3*R$@YWTsR5O zIA6&3uq7mxJGM^9vKoEz&eva;clwN0t5JN%h%MXW@_N4KSGXKsT6H43YU$D{@tvxr ze8cFd?$owzGFd;+so|5iQjSx)d+x!UG@i&t8RFUl2M)N;WFt$Gv>s#A2-r`dRf$Bi z>AxOF>X6ofSS6jCQVeH>63_Bk5f4s)J_ddop~SgAl^4$0uxL_c;p{9-qi0y?N@4$dG>VPyZ;IP+7B1L zH0+AXb|$CfMJ`#pILf$q_uUtd_-ge+T1HGIX8whfFFttPFP~?DOJ@u`aOZFC{&3Uc z#a=jNOyaR{(}54sc%S$VvZg_HCpz$Th0GxOa8#?DCEGdhE2#WZ5~D0D1?v+*oGL@y z5~4St@wFK#p0gJL8!tbqFgW?1{-==hxP0QN{{E++Ft;7OwL)25*Re+~}0H_}6{CX*0oRXs#@+*Y&tIGCWw(8|;cD7%( z`BrA!|Gm`Zm6GqX`1)k_`wVMT-pgz#XJ2RMzOIw+u3x!l?^F9u>>b`S`DOn1hN7`w zU@^4~_>H@!av%5N}n6I9m zvS)bjSNp!dZ_o1HYhK1z(VlUf-X{s&m6#W&542T6n!zXlB-zx%Zsmv@<^mME79>ML zJ3cXrLWL~$buQ;TKC1C5o*G0`w)>7%&%^hp`% zPFq|?O75ft_f)HXp&{OU^dVM<;wBa=KYGqq1O1V8N|07y+)a?xn6F!hKB9F>;pTuu zgG6>AWXypxT=3$F|H{5PfuwtsIfqT6p!g_fblgBT7%}xo@&{5J>HaLZjs@h9%YqV%e4vbA=;aBYfUvbgnw@=pZFuUNz%ud1nDwW_*iEIp78 zsneHMX_ zOssGM6bn=xAm$numq;aA5H6YM&=B$gPUVSqYj_0A35IkspBaRNOlh)^@*l)_*+1`L z!t%(vaBx-6*t5)Kf5+~Ue^q9Vmj4#xvhjRVG@E003zJT~Ab(+ZyY0;SBD;<`5~t*q z`YYmL8HL&7%l&ydRY_6&al}`hiH{qPhcZr+qvu&HZRLV_`A)#~k&iZ*wwh>!m-}4xID_ zG^|!*hXR=*3CtZ5mh)o)CdLgc0m4fdEPG&&LCBw^P{FgO_mH~-?9zsr#KP#mvO2hc zvxrHAjG%kK*wcGJjUx&SASDKl6_f~UxKWN0g>ATjcg2IUFv4DDhIegjnoVz(j4U&g z86~scmKM9#o8d5-jErZ*FY~#vuc(+mH7P|el=%H6I9dNlEq>- zCKQOK&1)^5DOO{2RMC>MI;)}kUHOZ5ySHYo%3v(oXq_V50rfescC*N3;p{hNyS_($ z<_6j1L5esaFF)`iMXdS*)BRx;MfGCI`>FhUYz4v5ql z6V~H?*!H|}6V`n|7DZcb6R+jmIa+B5D*-w%hIi}vUr*BND`6?@Q1GX~hzUw=5E#tG_8d-|q?Y7r{^tJ9yvIzVGg7UAc>DpVJI{$37J zKpTy)c84=_2JI+igw)j%EJDmdjF=*-sZBi{Y5Ne1L-ndKJ{HihqBxqi+G{X96iGlL z|G{@8Be)RJB-ucc0UeJ}_x-rqMQFffI}}py(;M-K+BG>`$TJwnFg_$_(V_dU zLeDGQZ8H51d)NtVcac%BMhudDsp>4h$Wvc*%4@ zB_<3{JjklBxfQ`oWI|$avv5WXcfRUy;5Gb@BO}I239C$V8ZsbNLdEKfQiTN%)(V`vnnc%4~>T=X>a7EQFGF(W|S5SHevO_?5Ko{=$M%3jD)D{ zgRAvU=plb*cVtH$vDiI7+ZVNeOUnF!A*G?{ysNXPic)d*;@O3vp^l7r;epdB;?oO~ z;?y*vF{5l^s_1`H6|*O@bgGM2bJ)b59V$;XrevjsF4pc`iDl90@lh#JtZh-o>?o5d zYIeq=HqH|^8`4>|x5T!IS#D%eZE=RGdGV8`EsjD9(N1%LIS@VjeEBG)kpFh0{8^hP zJw;8yiZf29$oLm!1Gf?ltM2PuuqZx{B-E7iYs@JhQQXAA2mQw3r&xPZW+JwBFm*)p zlny~C5zSLD`3o7iGvs22^zN_>I^cC4q*_4q(FB3rQ`|0j?2=CMIf5W2Km3toWM!vi zlzI=WCm25bfy1AalAaOtuDWsT+2dnRS<|d{TCMtOTt1GUUVG81S8Zwhs0QwPHSlL2 zl6yOPQ0GZmbFeV0cu8}`dWEfdIH$JCpPo~+ymb<0&)DTuEJ{tY>h-wVK8~Ayeb=g2 z!F@Wz4|c=GODFXP0G$2^7||CBNkB(Kevkr?=O9%lQ26Ma(f}5Hq)bnvvkt6}G@~@5 zCpaQkML$Sj9Q}2!bu^*H27(Y&q1#d!Y^YE4CPuN}&a=hXR_)?K$rrKtYxmE(`Pw)p zdhD|ca$}N`J%-q6Dd`n)9m^K(T@j;qNrGi#Z}EI4NT$cmQqCJos0+Lpu)rd9YxVMb z{q|J3!hW7)oXb7OYd+RTUGx2>y@&KXZBekLD7MHKhskO1B-JlWTi&yNZ=+|0$Eu$k z%}m^J@+>tyP^pl4lir0r`Z&<3I4dJT5Q855Kx$qdKm#EG;>&`pqBlw}67LtCL#LKr zP^n6%fyx4~<*FiG1V-UfAAC0&yp#+mgZ~~%Q{JqsuAZojX+>h9)otd^YNv~T;V|kw zjnyf4Jm%1wlZ@WA+aFxF>u}bxu>V$;T3G1A0dHd{&m$Qi&%i$XYT9{E^}!V4#yOG@ zxn-#*#kEy@H8v^5;jNVaaasPNc}0*Xu$t$x(A-sHcNlC;aGKT_T^V~)Ry}at+B+@{ zjds-~GH+I3hCelX>Y9z~a!p)de>>iD{Mjp9Ci%J+`P&&nMU~C)1Hcf&Ir}!q*G++s zxLxQS5{1Pd?SfIV21sPH1yE61Ks!KUYfG?yMm_;z`P__1pOuD?$VxJ=s`*pE`x!CslJ5wr>oJ+y}lyT%s!BB_805*;dH&79sLC)5WEie6Y2K2gqSDZl`=kM z0*kfyQf4Jw$@R<^E!^f19mUqN^*m>9sQUf1+|tZH#@W+S=f*-K_N$nf%=FprKVRyI zNz0rU^-RQ=91A7V@|>)4p(%P_cE#O=ljT-lo>=ZH&xX9AZ*opnkX1|7Iq3zH*P5qh zW)$#snXJ%ufpGPsoaB|xGLx<#c9?O}`6n}NPQ^}BrYr$x(!G2%> zr!KVMK$Rp|rN>f;J5Bo(?6!P5qU|vT%3c)Pch0badE&A0SC%xadgP)DLtKPqj?|r8 z?o4ln3%Y;A8_*G&Kvo5>0)u2`c_B+7F1@WH1_DY3yFQvf#;ko&!`5i?`K#NYoc!vw zZuhEF-$IndWj?=Jt~XTX2><-lWSdk0{(V+nEIZ#~zf4?zEI*C=4Br)kB`oTJhvkp! zW~`O_65UI;CT1r-cp*$5nG6r}itnyY&N8{3ZmY-W6;2F3Z*!TeoxgF(pZq>$PRf

{nXEt*8rB5OA8T+Fa|L1?XGSy(y$M0#WyWc_UpWK;x z){kl#IMe@|YpeMlt_-!!X1;iUc8!1-p1D;`_v?ZrTVk_Wb@Ewq4+S zm)*}G)U)m~ZfQ<(#wsd0iDl(v71Mr1 zvHL>*C|OI^Jq2MMa(oy0#p*-;76tf65Qd5AHOo5UbftiDO#GBw8|C5{e{}QYBGxLK zmFp*f%AlEZcdVcy+-H8h&`_uO3BzHH!Zko4#5 zJOgl*n7%UY^;%&6qfRL7QMp6T%dGLy)aMhAJpwtt(i*0OXc;60vfg z2fTcei_V9e)T?Poj~Mfl_Ipx}!MYP>QYHejEPwkqM(Ge)&@1Re6Yq~`KIGEmP;nyi z{EDLDS3wrjG)tHN6G=R`A1dG&9IEO?MBi@rU3K_WHMj66{ugrLUiW{c6Js+M={3+; zMswS>2Fa>f7wTk34VlN&OP>HeQ-4x#o;pGg*$FSYd}YP!vPjlqEo)el*T2H7Z;0ND z;ED`}&38hs0@_qhsjF@plP%uN8P0_Oi+yluK9<_X=ZFt+_zp0+7Sm{Q!3=hQ?c6}8 zDAZ9HD|~t-vM44i#;kMtMDQh*Bzxa5cXP!1?-5GJVD!RsT)4HES-ZER-R4t{-u%vp z6YlbhqKcvqFWUjC#-3m4v0*0$Z$c4RirvY4@P3K;2OCKGA`kWr$60$b0xrStoJD(} zc#t&TNv^Vx__MFwZmovsD&2M}7WfkkX%0Wy+4NHZ*f$qdbf<7d$(R5^<-HV-oR>g zMnckxoWA)8fJ(yZ*C+on0LjuWCFC-Gc;!F|^NF66{72io2uzj<`r)bHGsa_Iiwce8 zLmjiTWES``|55vSeIQMhS8@^m6fBYE!E76|BFiadRQQp#j?zh7pPEuZNMtCF8rShm z%I><&Jsg%!gziTc^V?q9f4;Z&HPjHgL5KpAjn9^;>(bynu~3&IR%($1Flg~1&^sxG zwCZW)6z)l`@A(hBNrJ^*aadO|&FgJQa9iOOOAhekBha5=L-?0o7IJj4LEb$rou?zdbgJVqZ#H&7V2`B^he8&aI8*f@mT-r_M-aYMwX==tTi5-XusIF5MEKdN;{vVsxkk(_%M9u zdlwxxcQZdJ*%`VW@%LNmRlu;d?6T|v#l>Bg8NM~*LKWOZ9~>qhM(oZcTDw92fR|I3 zgiGG^usX-zc7xaMax%dUK3sjgn~ITA$wfE%opx~1TH)6k|& z3bC~}TJ)uXspI+MpGzY$!@}vL+QhVgWEnH>TMeGB2+q$(RKMA+TJukSXiz8xIeR7& zYhM$k_i7Y^@4=8d>^9ponn&IVX#T--O={lOxODPFm~&*wvhH=%qd^Uv-<`v@<7H?LSHL1@nv9 zMf%I)e&)f7gV>g?%Y=<9Cl)E+O1VdhR@EtMmLl2cgKkcZl}npFg=-H5!z2}`gq=EM z_pV!aZ)_NfZ5gJ>29S`HgZ0Jk#M}%GOXVfg1IBU1IkzP0F|;a~zx>oITYs6qiRev~ zT_gJT6i*%N>b-TfU5$w^*VFE!;o)V)&*~|1EZ(%Hd;a|kzy6ro{yS_=lH@w|o<@qp zkJdu0MWo+hS`;%=+oJdWc00fS1^Maz#J?grTo1h?8smLuJe1fn0HZ@UD3>BRL%2T- zvAUzCst;os$4v!T=W6z%tpC!FnTb_aApe;^i-P?bdQute9HC3@!XDlPo~7E}c9rB* zefUKBF%$<}qumnX>=8#Lcn!R%3^0)ZQ!evHA4h8&jCRNjBawW~)KR3WHl_73Z*LRM zK&yGQF0y76zl`Gx>mP6i8a_2$s5DW%zcMh8%y4t2#^v*HmNDEJJP`Ao8e`$xaMTAdH0u{~6_ z$IiKnnZFOM)SQ}AyKBh8Fq2yDWo}uOF0?6WxQh}1Y^nyq)Aj_sjc062etkc#bb9VjW>(y&tgv0@nrJ1F@LpW7W_13e<)+V3D%DHiWI4n-?FeNj8f=qrLR02 zlI^W~>AQ8zS(eHBN|$LAd)Feu?yyN=F`y=qzr*dhgl#_zu5eaY^amHcT!^3ymi z)ivdx`>oXVu1tFFM*HgOiE5HMH_m?wNzXmrju}FF&L zM0{rgto})1QVU~X@ZrxtTT!Bmve&*>WTJ{t|{^`KWAwQ8IO;zY)>}UETF6W4@7}e;vJ8$;Y z9s2u|ZI`qyMw%xc@gkJ6A@LE~3Z87EZC|86sfnl2qPcTwxd>Jn-S}_SbHxt=hm*t; zw+%$t-l`fYv0iV4qBdCa^X}}c%Mc=>C{wGRGfU>!nbLB=@zGuh#pic~kLi6uuKf_N zCW<@R5S*4jzZ9WAcT&|FO(927|5Q+)IVm-j#{hE&xtxGEd*~trW_9|*7u-eO81gza z!rp+1G0z5}weHecqXmM`vG;UyJZ92n|)8YLtxBz4@rG(s#0Y!}?7znLT+d zOA5`pl=b#o?FfJaxgp#Cb4AmX1o_eL&^z80&jNgXne_ifXlp%Jat{4uXpA=Nz@2COaXr&ebuR zyD;|Gs2#i@x`uo$c~Cl@c#9&htAa8WvBVG4o`@EV)QqhW(A&*2*}=^|+WqBi(j2B|cVIEJ)6jZfiPkjij_x8~I5gjUK0VAE$I zgoPxhl6}Zv5#HbSNE$<^8EntvkozknuVGw!Xbr#7DO%k2FW}CZ_%-)>sb!1T-O|*dfwl0V zuN$w;3ZjFX3%`M5|S44BfWF@W@&C zPRSYU67KL8|4z|El;%2Gm$$d;+Xi9g>{WtMesQhJ@n6H@{0lGKF)4e7yV`K#_lb>u zfitn*Ok)vR{rI+eMrHkzG-Pfos3h z+KZ|g9ZwBu4*#=2PS{?4<8(phPOpv9_`BsaRRs@CCQTW*0kFh1Dpr9h-q(0XMv7sv zCh=3InS5I&qB8{k>~WOXU22WCbUU1B*H}M_MzvUp?h%ff#A$VjSI%NH#8S$Mz%Ns> z(az%SF8+C{H-x)`c`BGMqkt5;O%btM+xOwK)Hp1n@}J@T6<(tW?x?qz_7l;tr{gzF z&gAMr5k9f6d(gNNHCLal;zYh~=JL3GM z5^E`^nbOX1{K&CCV~bY`dJYm z*it8r@5tcHX-k&*40mKMpWSV9dsm)~8NxO|R^NfoB#gtJPo#D6|3sU9j*HG8ZSM3N zMHZVLRQg|qSCrQawfL+^Ys&;-VgB^%$A}E0jBhQj*!FI7Q(&A2AtdkF%ezZhR?wkX z#UOIU1Gy++Brk(N@-;s&pLp`~;*T$+j1}13SYbHcmWS&to9B67AS(iLv0>NC54!#T zx&Q*F8&aE>Gq|hmGpf6_Jg)b5jmU*sTc!6`GJgA}lm8PCm~oq1EkB;xvx~?~t3%Ku}jk`HzKE4n< zbMO6$!6ed!@+?7C#*8ai{c6N21gcv*ag7+UN!(lxisEK+-A`70WhWPaiz#?>a7_3` zT4nyNeFr(4CQV1sb*M(Q`}y>>&W&PqaY{?rX zh9z$-p~=hlA>Vus|JGrowma3voOVB!O)5ZA<5~tX5`>c>(rxS0Et?kU$J++BLttyS zJ#XiM9jBsLnSi^e_J2HGB7yADS!Zr7@-SwaGx&R>Wzr0n>(P>^#g5J2ysT|a@Q<4I z%O$bAvs2fjkLlwe!r5-G2MN?9;5S`?ALi7I7AFdZ%Obln|1VY;0ptmIaPP`XPv2tJ zwoDQFgcJ<_crcnPpZo-tsp=kA$MQVm7!fGkb-vk6cw-#&O#52P|EzW42L(~uJgej4 zYw?-pax#YxkKz+em`p@9>aLmT9%S9G3mEF+h`U~Uut#&oJUPCi{tsK;-n|%}pb?@F zeXrmTqGUkpp#H~jOEe=3XtM7@-Mucg3a~=a&8;oX;;=AqPGO7t{bkC6V>)rE<2p4o+(+Cd8x z(CLBSYgxAGg+KLhjoaMIi`^@wmN)nK-SO}#qR=0Oj<6T)(jWrse%)<-Ug|3QRB({< z-}U=IyO}2;Jlibf60L|>ArAe|Dz43UZ@%o|b5LCu56S9A1DV~fHeUnbdG@hEu1_Nt zam61(JN^8>AM|432~qOXC`~!y@M&TR&}%dCOOxaD1g2=d)KIjN<&NUI4juMwmas7| zG(SGp`u;3sFnjLNzj0TmrG-bg9+$=aoZo@i!k)sp>1cJGsDpu473uZc;2#p9VPq+h z6l~}7iGwY|?hl1KNwF34NnKrx~VLogFIM-ZaiJ3cPDx0U3K>DI}H3 z*?PXc!zMO6(Mj|T;*WkH^<+&1F9fQL-ZE8px~jONJWG}DBTJlga^6gVQkV{hpv?1` z7FRoZt1UPxso4Zd$2m4!JWCxf?v`G4ZU-)Vw*qGU) zkMk^ktZQr}?f?y3*6D9lq@D;Q$dIQ`Wsvjn<++txu(Vgd?pwp_w;p{5XA%B>R~2+d zwwVD*aqXk^68y{}V!-H_-aX>&k3H*44wXh=%sINiJXP<`9B8@+=P*`%y5@r_C47@o zy~5SF=0+-JyM{c!IZY;Xd_KnW^rcl)7nd)AJ3`iJMzw2Gy1v5eu;J~D)IoUaJ6@>W zv)gvKqQ)H+v4CbD0}NE&;w|{l%XmQ8EwTA~Mn)aY$MA)g6qdg{I7O|6_U^hD{Gxj$ zuiNe!Y#n4A4H*Z81k>FMtPCRm?0fVN%05)Q$Lk&&^O$E>SsC(@YU@eb^Kcu@Um}#r z0_RU`<>tgTokV34@de!n=^Eef%7OO6AN&SRlzj>da3pJ+s%3nHcCkxl&$gAkoMgY{ z`7PpP(Xg<)4xxTYV$0&hi}YPNI^tr}{S=_JVK@+1t|s4CU@>0cBrUw8_yd$&A2}4p z2}xNPp-ea`q1q&1x+NT`g*MGVv)^WW zu6-@!e+<>HDV~D&#b?voilO}}!~kC>IS8U0p%yfm>;G^3eCy`A^D*tLtW<|!%h4_p zI%rwj(nnu!jse4$-35z-p1zp@b3Amk=8UYPU#e&@5si@>Eh*v%@&1zs&|P|%-o|3yT1 z!}ZtW#o)!;N_J^m;ec6=Ab$`=zus4$_D)1kYYxo9M|J;`u;*W*MBS#luZl5vhd8EH z2^3E;RIMS0RDxw?Qkki)??P|((z9TKiy&#USi?SK~pT_fdu*q;{1xNyLgpR z)p5vuLvNBr5~k3Cq@!AGy6%nu*wlb$YyFl{zL7p!NK zmLUSC;R{eMhc_BG|C$NAfM2fj+8XlOU=|e_irc%-BY`G0>(2)7aM;rQJ5C2#`RNcatSM<2RanePM?~)y#e!{gyHMALO$WJ?j^& z9IOKN5INF0boD2-a17SAAlhC^bV%kS1yu*cI7B0wtiu)f%8lZ zQHq)B+z;m^{ux)-Fu;Lp{5wO-g`$*&fqBN|{lX1CUH7BTgVgqTlDDp^wG3+hNP6+} zej3?x6)pMaqmV;oKIm>p`86g^nt_cZecqY|-ll!84-msr668H;Yrgh3Yn?9Yf^WB$ z;jZH7!O0CUm3Zu~KGt{6H_@@g;@-6(!a($jR!sUmt*jo#{{kMi-D9SFl3(cdknZY% zW=#H_h~6Ll>^wxG@+tiwBJTP$OX&M=@bxCSSUuVSe3mpMl8Co^A}Nko=naP#Mw@h{ zuvQx#^S9u4OqyF=vrup}*>l&YJB#tpCzDJuQyVmf%C@3piC# zP7^D*)13vuAAjyuQ;n~a0`XmT8IQ$E!{9`mlwvESzj;HtG>Kv*K2DU;WF+`OP2$Vm zY@8G_UP>^_CR&CKo;q@>1YoF7i^2F$UgD)z%rg}6V;NJu(ZujX%g&d~3WGHUZykmf z;T&gX^*2wLSh=8t#ZzYebS%MjfMOOX-%`k0pX|d$hUe?LvC*yAhXEfU&A?k&t6whc@MHNtf8433wKv z_3|Ypw{SkM%h90Q?X?%*E3r4a1cB3vnThu4$HCHqE4$X7U@84nRe*fxu@Uh-I7Nqv zEjJrp$>(bhO~S5nv7~-?bYNZ+=b?(K@{^cjmj>(Jv61hV!3-zwEg{8DW-kS}G8x_y zC2pCB*HP-olX>o%oXS`$y`a>(pDq1`E71z~ps;fy&EI}il}*b(nhI>kv(4+HE1JVF zKdH94UZ`gt*-X=~EMOgTQ3LYVC(#za{0uc1Y|yBWncg*N4DRn!_m`+5=ba&-@UVSG;{{S-HTv35|IDl0dI!uJbm_7bpu$Xd?{nXlu z(Af)QPO4$k*lI~u_uSs;@JoQ;W$?z?B|kq@Yp>p~*QbLI<7)L12hY8aIL<7zaSM`t zlDnpK{8|;94dv@&puCyCIet)RkNTSP7_whab1mQs<}u3<vnNp_@*F?gJ%^tk1$<|GOrU3e3)TD2+S{7_bsA%|1W!xM`i3 z6_bF#t!6C^q8EFdSH)ku=Vk`hbm*>kp(NNI4M7X^eBz1i9IpJ2be7*$4DmbXBTyiY zeJ_x(;9lt|x<|Lplw7?F>|&pSww8S5k7E{_Pg9qXbYE9zadTB-G_%=m=eZ&E$ZYlO zEZ6iQTOu>hgCG?#Wf`dweH?(CmRONtkI@It4F zRtLO0#a18uGiYep7qzMx(3t6iuZ#n8ew;m9=}nMzMlyadMHA%Cs5^3|#1QsdX~Bp& zg=N4%32~cHw!GQj^R6^s+XF$;tcpd`Azy6Ad=%7m-MVX(vw>wr;=j+od)o72vrwS@ zRl$1Nz{^t!M<#RfV7H5g4xZ&ug0CMsAssAUT{p>3QtZ%MjQ+fb)-2h_1IBY~-Veg# zu9H25=;P~}lJkQ+^Tf(yNCe{%F+%qAZB_xg zm+gD#0fjvQl~b9huo+uRaq3}}c`bA4`-TI0RhIP)UBX7cG@nH74f`{pId^~V&S*^{ z{QODHXA0urE)91??t&Qg-|a0&smrZ>FV$dI6Xq@O_c{9IAL3& z#70H*7CZKCi{uj|egA&X!FBK_qh>$q0s0m1{`m)u+`ju4P9`fu3s?H^W zgOEk?^ySX+tvC@lnjMwWap#yEwo#oU`GU+%o+_G4@AF8AA#6(qb;l-e$W@}}he=A_ zkcd-xSzrB_BNbtwo;QnDd;D%nF9)sLTjA|ph@ZFBe53^RehUqGvCCR*w4PX)nl#od zApZy$#fi@6b)s2WJFctW{y6w}b7}BjtSRKxzxFODTaQ=Y^^cB>KzU!VkoKl6ONZMd-T$|BMmehAp1*V zuQg~poE8YRknH0Lii1*|-F9Q880@yZ%w|*H^S?=l6%oT@vwULp?X4T%zN>69Nao~x zGGbXo(PPy9S z%F3QUev!KN1`OAR8RpC1+!`HX>I(0&Sza(9w6mJ96-0O(ovEf~tp+y4faxXRcLog} z>;5I5amM__zrLq@|!KszCvq2}Vz5@!}7U$<7ygS!_I^N1|E<@#>%TxS)ht z5y(d}b=@3%GhB@4%>sNARs^4R=;|U-d|D@L*FbYDm(+Kg?oUeJGaBckMMJ&O>EUt5 z6H45&f5;eS#7`O=HjS=weJdFt-yFsaUcE#hK2#~I9JRquOv}4Rgd>i7&l`GqR|B6U zlGEo*hKZnqiXF?srV^)6zD>)Q7f7!U|7R9Mao9e9a~-zUxVC!qB04axYCefl&X`?XS5uO^!$NYNw7 zB87hYc{B?EBhO%yFw`&4ml)kk`EnvCo+8UQ3U$I5Z(l~moV`{z{Vq>vq-IXG4cnAC zx{+85G#+`dcV#2hX5k*1|1GsAWNh<+D%0byxP2KXhB&QS=!#oHzQ=l5>YdzcJ@aJ~ zp=3RA{OiQ?t`ZHuu?FNb0iz6uF?#X+Vliu*#i((?>vg>sEKTX|z>2wzo_V&*PK!zT zBJ`)Jd-9!?xK6+sp(_ifR@n0iso<6kK!N*Gclau;FvvR)-a;>sn)Ib~z%zD;J&f-| z$-Yzex0MTMPg&fpD9C&2FwJ=sW5WX&a9DmO;uh$>!4Pl48os=0ho;5VOdvpC$PHVc ziY0YayY=+`-rIEfG1qxEs)Kq{-rI0vDD#RShIIWoseVCsDWN zZG#Tvm=6BIt4Fn&?>k})ORg8ZCvr`(JW}T#iafMMhE^Po5Lt9Aol4ILc@LL?f|wNq zw@e->ocZr}xZlE~XJ^kaZxp*5VAbfYwo=P9bc@rqomsO0vNqqf`UUSoBsX(jWQdGo zTQ{@3(&Ta5od+VQ7-=%ujC zJC|p+_=Ajw1ecm#&}Udz3*DwI4@C_T6G%TcGNlQsOal(q<_ zsfVrcJ$P5BMX9R%+P!dx=v|M(V^+Sj&#W}K>=TX?Fo&Y=j6_%A-(THryfyn=X}yy& zG?R(l^#LRP-}kJ18{jF^kCG%wZxIlyW zZ&}d#3q&9L9o9bE|D@=+i=QDM zDK0*5J&`@@d;=)|u_{X%1hcdP=M@zB*Rn;Fn3?aZlg#JX`GotYEW!E_Puv&TgiZ}Z zzN3P;ddTBS`D+dfROn7J0P}i~ey`fW0uK+8PCfAqA0hkzdi1Vb_-4W%H&J{q&k?zX zwHAg5b)E-o7A1DLT+jux<3=Y_a3TN$`br1FLfry6q2JoL^vGSj}YryDWK1K+I71|(VUddXBf`=#d&cEb=i;MeeebarL; z0oEKkwNs#gsM@ux5vaU7`mqbU?az2KtZy1potYHCxTNd-?#2u=4d-oF-&Z$sm*RUQ^>~n;wfq2| zMiM*(I`R6c{Oosp`dR?ywp1dbr;4yD+_Ie zmm;5pV)PZ3p8ZZvx^}qip=u+>JY?{$ku>5jk_I@{ACvum&S{E+AH_^;uI7xv&cLDnMJv#7~ z>Ju{@D(yn2@$RY1%xq>weCeA=<>wTioE*?OdN|1wb*{E8YR$35$-fiX3k)!k*Zotc z^>1NsfJ0)B`{2m$Vp^i?prSNR(xlUJ^7mJ_1asC>I#G)vI#G?wQ3QF(a20xHc?og1VY2c2v+WI~&A}8T9E))14CINW4W_~T!A(12b;sdI?lGMoR%4FQYD<((T{h<4`fuF%+t2A69eMf`38ol?sS^3*`B^{<+ zy5MSls;NkTD{ zEUK<9h>XfptcP)pYS`#|zVNg7(M|C4ixq#0PNlO+!=p4ipA7%|F4caMsXM}~peNU5 zePSOA_aIjy0Da3~9L%pb?CPlIg3|Qn`F$8hU~*;9gRjxbL^>tAqGAQO&m|jy)2)8* z2ipN@m6uYldO?4ghbL2@jNm{RAhw~{aovk351Av4=g6J^K%6M*gi0_TSo>t&QHTbvb`U z4eMJ7|HEp-x~!(twu6^ERheKzCCFSvq3C&mHz~9 zVl#HENS*RsT=|QMzCs#`$YJC;itx=9`GSEKg%tfc@J&>zomIs5ISe@YG`}?l+Mi~( zeqWsuniPVmXOr;){%}-(;-G{T6u>K3l!zZ(F-V3o9^Dew{*U+maQgw=$)xZGd#i_i z{*(S5EeyEbu-8L3@Klfp*~m9d>Y!SF&&xZ1VyZR!KNnZPLB;WH=+&oAvKxEfAzH^s zqSL#1fiiT^BL;~BaaZg0Q3ExIu*57^Nq`zR{%w%PArh`HuXUvan;FPjr$DFkA`zq- zY!}DE6EOvqxxmV3G3$-44%$ByROFj_BH+)XgF+)7-Mr*g{PPk3l8LRf*_)*#nz_8E zMQt5#Woyq|Z1pR%%7d#U_QTItT(sZo4GdD1sj>*dE9#+f3npkqk)_}pdlBoV7|Y2| zPphyeIFQQo7c2XWT7(xDnU*(QtS{N|lUn^5F_k9p^ezFJwx5Z}sTY+DO;m}5@At41 zsRFMbg;`>gb8CU4Z>=#jIbwU$_;vt;?oJ30Hy#@@09O)B%#Vy3PS24$@Iqy>^K`rS!w z2x)8u@+ZzwP`9A4Vkg8UDj)f3wBVzHZ+ypLx`#UxlGS}r2@%=Kf!O+&lKHvU*e8o( zW93e;1bFsZQiCkcT&$Pd)3GB+`Iog=-_}=JvRT?yBN5C1CDYi$yGBx|L3Nj?`^X;o zW<(Fp!r6s| zbCSKSMEf5Q(8=p z&-aX`HmNmGq|)0l^1`ZAG4}vtSMbXk7FhCyx{%#0BU318+!tB17z*b^uIa2FR4~r- z@c?sw-1)d`!gW6L&Y+g0_L?3<*U#d76`UUx_tvZ9H=Ud&Wh9kGxC*Cvb{QQp;}^v5 z;QgR#R)YaK@jjnvi0eYA*1{vu9`*ZMc#>i^c=mNjYVbfl(}p(Sl&soa7`=KTa9x61|^U9U6J4qK9Qkxg@1{bLMS3cIVS;i z#FQ7Ls3dgZ`JE1H$7SC8gBJ+kt#6ZOl7USl%XT*$d`50)P04s!w{vQ1;-#-t_ZECb zclrqtMheGCM49WSc0)s2@WBx6Q2OwH#o)^MVWqP{Y^-zRaQUpMMUzb~+9P(j@r%qX zWp321^qfGwsIsVAxVN1e$Lh?|Oo;xrY@e1ntp6j0%Snmyfjk?+zj>ibNNulYMrn|9 zd1)Q|Q`4NtW9WwGYW=IE{Y_b@nLI#2NG+ih_&s0$8j%Bf^n0UM0r_L;^ea?T485#J zJXb&ZKX2FQPjID%R~N+~KkTH!N5^Jmw)ipCq?YfI1S_?p0aW$Yfo;p&c6zKY4`B;g z^)B!}gZ?f4sL}3fU&Z8-%kq1I&slRtUG8J%==H%^so5Q$_!08Zy41hF5-%9kW2g@n z8F*Q#BKqVM9#F3?KbqXubxId}msbN@ymKTgY;yzGSz`r{y{m5VysN5d`AX#%ak5uy zR3`WSV6y0rg_;eiD~VIJw$F*4{{kr<-7mOKEd5=;^YcLxo2L=pz@^#Qf55?K=|u3^ z%0B&v^#Sr2?87WAkGdDPiPhyP@J+}`J(FVpI^FjYX%C*}2;DmFul5YdnUGMKlI{Dy zu5tQ3^CjV~Qg+Kz#rWgUmV8@xmVh4uqqE9J1{mS@5pr-kTygiD?=NmgrB=SoJhgAv zPmJjyYgWU6#@ z3-V0L@&M!YN08!9Ui$&6eK$hQ8MN)($655uf1$u3E*?&L(udl*GlVj&as1v=z6JZoWMrDDi27#(-bJcGK*|=cV_5`G#xkW$kA(xkkyiZe!W=hblAUJ);Hi<18-7gPD zEbsKyLys9VEAhhDd0}q?nei?#Dw0{X+9Xi$+W9NRy4Vo0uk&R$UP-M_lcr6zio?>J(()L6bGAm5KtltsZgl^Fhkf^@8W8Op=+klD>J}fNyADeftU+{kZPGP-t8MWEJU5-; zkq=d#u%>S*xTOJ9TlFDSwpjsgl6MQ@Z@5C<=0(R@BrKq{7zc3%$#eMpVy4=gc=f0& zsR*B)Pl-<-kNhkz{K+>ww%FIP^+TiSMa*TQ-nhNWiDAN5dS)eq#b~S!#>3Veo#l=hO zdO6DdQpoiWRNa^YZB!#2z)`=greU~_Z42Wt=u_ue`>2#cF%x3RPAdM`qq`!)Gyt%_ zlp{FTF7k~E9CXFnxB-fECj$@cJP13b2AE7tEB&FatI-_?aH{Oto7l)nxx zT$ST=@;+UPb5pBxii^2X(=SiNCoe;?g>~)RGigp$g|>!G36+glo(N<8tmV8qirAP9V!}*`grcdTWrr_nWInTnwlSgqO2Mbq?G2;Q>GecM# zAT5-+lWqP>lr^t3UaE+jRX;C?d$|&LS{6?&1}QYQ^is$6j0;8t(F^I))Jx+=$#+U|FIA5^G!qBUxR8$K*WvrQe(x~Xt*|3A0dwJxh90DN}g)6Z67v{ zcG#~rzKd!EURyz`s^1nmoP32@m{z?DP`X4BFybs<8<B5=&DV5q^hk<~)F?9{1d z?S6Mhf3jV6kHb%|iWgPc`UWc|6-WpYQdcO#C3kC_#dzL|CCh!be1=7DJ#8)Q7QcAX z^(?Nh^_M55kEt{d+i_9oY-sA&z4@|*yr6YM=#JR<;wuO*WLNYcXWru*hL_t-(+ltG zz`}7N00U}u<#JQ9Dn0vFnJc|I`f|wadA_{NPF!*-SEd5eA9wqrcDh%muf)f*gFtO#N84)^r_s zTzF!uh)~l;|I444#IIo3sxU1?J{2tJ}5yx{?lzGhtwXoW&s`UZFH#-^9!LJ2ahq)Z)&G!|`uvFcG(wHDWPw-YK2XXc zSwXGOvq{+1_3pk5sVWMrkRyTMYFM=ryp*VA>IrvqIp9AnAkXfZhc@>n6@YYJz}&*v zE)<*+4g8fT(X72Y_Ye*6OqFT#>?<=z!axa4+veY72k>avUgJk%#!$eO#5e89o%Ep~ zf`H|9>Y+7p-0iBKl+H{!TKD>5h7g$m&5)GNRs6Bbd`1uj#ljzm$bb3PqK9qEwBQ>u zhqd%Uiq>4Krm`5T-`L=J!o=@*3AUx3|KeIt>^c5tx{ute4b9-O>rCrB*8EF9zx&iq z93s-ityq08G5p41a>q}~sG; zKTe9WljFkHvb>&M$Mci#ruw?dMOqD@W4~pfl&UMAd5(FO%4i#cfQz;dPH`JCV%+|y zEZHwAL3w}1U9}o)AzJf6kLqAR+b{h{+42LQx~{5QVsD@IV+o}1vypcg&i=BZT@FG; zPTg18z^lOg#~iE@&>`(>DjzFp6tl~olIlrE6=)kjS8Z|CN74KK^Pyf2HJ%(drHA@C zu*T0jFGzEYWR`L%p0;mh{Th_<0pJw}O_dLdLPOIlYLd$h!vjk7rU+5t6YkkLYU*?8 zqV1q0R{v$9@bNr0;MGMVn&$Q2Pu#g``9S*qbK;5V^g5dj};`*Y@iw`*QH^N#GI>v(Alq1x*=AR#i+6Bwe#+GXmhVjVO#X(^?8=Lk~_Gm^Q5QX@MY9C z0W3j%X{Z_%LUhEX?xBMMZ8{;1>J2b7_R$! zMaHY?XcPR>p$FpDNQp)~K|JwvLSfGKx#%90<6~l$l{`(vCeMctp>gTSruT7JR;iw` z_uu;A)0>v9xosQ2P3`f~9lXLqyL2T+_kp+i(TP zPv+@H%7<_?n0(c1?xj2~N5{_+-kTWu1fW7F2X$qFL>8+dt#PRK(DQ5ttgCm|Q7-C8 zjnv<&n}G;Z@gdd4F~068$hwX)?V;?@Q&A%_pE3T|a!y*Cl*ls+Rt>=!| zqrFp4RTu8tOp)W^HIMT?RCr%}kH`*w471CB^TUM)HvLD3yx`tZqyiw)|3`lFF()zh zKp>nSK(YE-66y-!d9yWMn4@@)_fx)wDBpZ+(m1R ziJPLe|HpS|{{UZk#I!W;tm(19P5{*`f-c0aPE*${tWj3x*Tmtv@Ah)<|1V%r(Q;{H zhi7o^Jsw%cQ2%L##qhcPX_1)s{xo4n|I%M_aF+MEjcdGy#o9bMOwBA(cAAP9ya@vh zq!g&b_u2=%}vQ%GCgSjZlxj8D+vNNrIwtF>bib&=7d`B%^u^7m1!Vc8q8pjwFQ6bY9Ow90Mg2jthU*Y_w0Nvgz6yGVpCPJgn9pOT|c{hnS ztSz3=^3F@nqY9SvFJ|+PF4CN>Q!2t;f4K*3d-p)HV5lq<<8naDan8J{#zTV0);Rvb z*eg6mLjO*fV#(D}cmV)PKXgtT{9@%oklr(-Ynv)M!>LXwUS^oh^}$UFl!32vAv-Cw ze$8)zL8ImM)4O(8dF*Tg#2&LY?`NhD^~3xtY4)asdcu?URYac_1S&lw_uV9lkcWOh zqB0`=V^?Eo@jGiqC|`}KsOe^Zq)j;Wwre|hNSQ0^4HfOx1NVVuMOhoO-@hhXb6sAY z^^KEmch359XW|T@X!)yJ{Nr12p^C$@<>c1{Xd-ALoS5&C!`@3qkNan8v-XEsFx5g) z0Mx%DlN?tBJFE@LKlA{!U&(+6j@n(7I5-&$I3}qPescQPduK1+y~>jL9Gty#(i*>9 z3(92HT-kl^%6NWmjGit^s>|8w1&jft0;Kb}0=I5~q;oRfmLvpq?c}(`W%yu)Tho3S z{!5Ao;TfbwX0os5V1zh(Q^J`z$6Avcs+U7#;7RG@#>vW4&NP}7thz`4NT01GYqd@= zQQF5zGVsctV8TQ28&)*K2(8F2{pF{DP1wC^5z1$C=OXD3EBgqKf+PtAt~nN5;Aq4lfa?V4 z22898e=CpQ&F`7Ehf6m4?nc09P=t>LuJ2(Etdi|JN3b_X(vH&HlEE8kYcrRi+kFO4 z2Q(XAotMlLHKfv#{z>R=5PI11EgXL!n6XThOqRPaf6w-P=DzMvVz}`70o%9f28E>z zIa5$U&6GK$m`C+A$yN-G|ELOP)plW>jhTFR;WOX(Y9)7=$ZbvNZfePDSCz^@uhr6s7#SY2?H%Bv>8kME)wU!N* zEoi42wlxW0P`i`+2B>(l(Yk6F4IH~N#P2BUbPGgG*z=Wy-2B_ zRL8VBGOxPmb7y%C3(gK=5u3%-0uU=_FoL#m8s7cNKc29Aj<$d9L;ADRidQO4oVn-j zBzE-r%1fx4P>l-zL=Eb`mfJO|@qgFF{?by2<|A6A?hD)xWGNvYx&@)E9Ca!*)ZWju-gd zDvNzSTUD8dCx6EbqB>X-IegEXmr?Q5icjP?A!}`M9Xs!IUjMi#+ZYoG6%{UVtay><&m-g8~adabnM z%lv|OuZ;uviJ8VvXfa14M)K8R5!o+c6~>*3PBY48DucqW7Ve9Oa1w)??Wlo)zp2S# zHCsC7AxVy2!{l4^(l0`3gYINgZHD{d5kYTKm-jZGkbY(r8ERLQ3}6ZweYHcDTZ~%h z_5Ag=Q#;WGNYBl3<-_T<&U5m9_R>OBB7aq_CqlkkZs)^rzMCo=_(9CAr3vG1kPcY4 z!H-&M*-b~>qEoxN!<>@C>+R);MaL_VGz_(>J079w`r~jqr-|5Z8X)&b;VqlgyZM$# zvRvtFafF*ik@>aq{EpCshm;k<+|@7a#obD^bcA?p5GwTlbpcG08#{Xsr+9F?Gt0{l zOS|q=&DK8wUJ9p=b2Gn)_=w9ebis@RI~LU{)EbO4{dLe%=JQ#=?CR^)@yw5-G?1UP zxM<-2;p?owqH4fzKa_~XNJ-BiAfeJ-Go&;_OM`@fba#t%cXvs5x3qMJbaxFMci!(^ z_uk*`e{j}1Yn}7#=h^$SbDz;xetiVC)Lw=I=_`(v_rjR@hzq8HxdrUHe77oz4R_%Y zh0_VEZI$U?diW? z_ZV-K@4@zo?l=*inHJ3?dv_BPVjZfTxh5)mYJdB09faHUBOLSOA^Sx!YehJEJ?KO z-DILjJ$Xs=2*xcVj4Q?)ynNC&>_@f~>_vI*T+2+YHbr+ro_90d##rl-a>4-Hg%D8Y zF;%t@_P~}AB5%5xLKHJ$+ZsnM?JN`PUj?Mw?vt7Hv&B&%b8-Xba;f*%{pJs{WFVuL z@UQHm#!kM*O63~%)4PBt{TLos1-o%iDRbvhH$)HJlQ|AKCJqpnT%ialGOGw~U+(~O zPB|9V3v*4mQ$ChC?4?MsqBoW+pq-k{+KZrj!e@mLRlerBRD82+(1v`r0FS)c-r;-tXd@&?X2**!%xq z#$A(^U~3c$ql`P23=9yo@}$}i4W08jkP&NdS>$pi<(-m)b{B`s$nqb3fzVkrNPK*)BJJ`I*HKajvM(p?lkH zLK@rafRDJ}z=)1Q07GRy)))z>1GMPDsbXJHtWl}HZEU}i_@FVAg?gIY&wx*bYIxPyrU5~u*)6(O0;CJI_7ZANlzVCaRj4pLNX&0Lu)}i#s3a?tXcBhY^&gZ9>+=@Mvhe-A%-TLP^Nu^09{2FVr z^Vmy#*Jq-0XK{E5x8Wfdisa>{sd+pTN~qgfyO0%h*;O9Qvwpm|IEW0{61RJ(8l%0R z6Lh}(kwIP@^v)?PP0*&(;3wtloC{aAG!?0{7x-#L@hI+y3<2&;rhZ>l0N3+Tk?=rt z$eX*OpuVC^j|&8Szb}r+U_ue3gzEWDox1D&5bwtk8)63ArT$BWS$em^m+|S#+AZ+y zF9)Gqpx%o(pLlO8zNN&8z^DgYN?L5vqb5rOAo{ChHQuJ|6Ma)4o zZOkH}z}7FcJ#-7gO|n;;;8elg54E=6Uaiu%kwy=t&5C zB#d0VaD}mumORf^exV_ZebFPETnv=^+CC3udtk-^kLHv&aw*F#2ht|Pr#pd0G4Yx0 zYHAhX`ANL-KO#Nvd`;_UB*K>~*1pST_lx!lzyBVCxDm7D_Y=nLd>B5IUuHvJ$N_`v z=aJYz%94Y?7JfhUWtg)n`@^|X#d{e--0S*r|LgGCbc(0;$Hk>>eRr8KwA-Juk72Qu z3#}t+B_|(DICh?zi2mWp8<&4a9}i{fsJlN)9E+?xXl3fGqpbRVe{In(d?_%c+>nh)O0pgScK zu{}y15}0FD_xVF8Zaos^8+olPPj5cj(c=(u4=j9#@oM7Fa|uEE2i$D6xQS-n3QB{s||LI}0hXt{9zmb7^ViTp!D1R#+!< zdS`?^$d(lpm$ZAMgt`~sd!{|ofgr*#^l1^`+-4W3&tM2zeB6cfy~@;X*S^rEGGq8b(_q02bmXJ zdSUM#n&uFQ&G#2r8CjYM1P;giJxpW5-^B{LLJn|vCPrEN=TwKXN3?zWV3JM{?!POIpVf1Bf-`y2&MQg=x8IoYj%u)v zDQAM|B)srOc>}$-9}hm3A*C{G>}qX=HAve^b~7B+*tKV89P?vg_1)VFZd%^P6k3pP z_T1HQ%9AtVoABJv$@5G_(;fhRKmuDGTWs2&@@M<3%^*N&YlI^p?$d8Jd2{q3SIgF) zx(axPA%=ZK`vBgknpfE-{L!z3-_3OdwDvtv%qO3yrz?+*4^vhpNJ^0UrTv;}SJEsh z>(eP`UCf(eb+Af=1+afj51PLBhPF@d<-L!VTSdSK5LyDmq}+*=8F}v!!SCHfrW?AU zSa=Eea7klu3#wTDI6H*!X6*5#r3jtPG?%w^kbAfmZw+h)+8;>30u$i-ji-7_Pjd2$ zv#XT1V!ER-{=C76$)dieP%ct*%PpnGWDp5of)~&Hsq3XihddCaXs7T{d?yO(e#jSM zy5I2?b*^H+xiFm^$ss8yV_Hy>*$a2VQQ&@;i~OnRX7o#(N}6kM!v0T>zn=FJc~ef^ ztSj;{$Mn_EMEoZ(nVX}|)uTn-rFxk?_wfF0V8^!dzH(-gWyf5oLf-k&Wr&FtDbDli z-OTpPNCOL5A@c$fLBDtTaLPU?#HYnqH;?~iQtNl*K|UacLg+ypD?g3X0<%pLt|>m+ zt2WRv=97pXeDKJXo>|!i<=l;Y8Wq=>6I`;W(iD@1-v!%`C2|yknCXs=IhoVn9iRn_ zd2Qz0{ub+SHS~-`9~pD#Gg;HeR$nb3M*OA-_PD-ON20ORaHaicO~mMLS~1mSCTW@`!`8#gr*C}ohM;+|j6 zM$IR89jAM&K-u;8FZ6cB=BP%EqPuyweu?*T{L4$*UbNvH_Z6ZNwB1(c0Uh6)t{fZW zUG{)aeGtic?w{iN`2y%}W6jTY>hHd{@MTUy4!pzyQU52~qlMrQ-Iu;S_H13ZizVm}@W44!r-S(ArFBn_kb7io^?^fmS6mX*1W3ZZ0SX2)EWgEW&r)q<)t=F`S?t) zEfKKH&%y|FCL1JvytNQXQ?@4KKPsIlYtZE{)R1*U53Ho0`MRP$0xyVHdJ$76fHh{O zkyScrtnM3@F6$ajVY+X9`%*McGj3-A{aijc!9V`hB>da{Iv-?u@M8u~5!)`KlJ1!E z*??0MWkU@o#a(cpHEzdfGQI9s@@;^x>HOgT&hOi`uf-v}MO7O4IpBPD#D$!Gd!{jf zg@PwwByY4o;Ip&>@*nWsGc_y-9T^oq!uDraUqoi4oFwy&sbg1%F*cFh>yw71)?2Zg z6NxkpmO(U4bn!r^tI;F+tOI4ooY`6DM@giL1Krv9aH$zg8fTZPV1m`b=@ zs1gCkHqTJ=g?%iF7pt?+W}bYk85y4r^T6*=oHe2-LkgSLKypQ{ctc`io?PwsIxvo^ z=29k;diZP##i;jm|MyGd7U4m|U-&Q!1I%{SQQ_41F$`}6{7kJwVJl<4HAp!2VhY9; z4WW@hn*3(R)Vvq6Br-+}^o#{u1&cw2yPahQ*su2c=^z&W23B{ccK3X1ASmUCF0N%K zFmFLLr1*8B*d@*TDG;g2*;dVU|G_uAjw`E)GhU-bexYddiQOcIEz7?j7(Q&#=@FLY zCP6na^j>(GRi?=24Y^(`^ZINUWuJp5sNonczjIBj(*ic%=i$9_?f!!Is_nEw(vOBJ z*DH4HolI7gut5Ei0sLSgQln$hv@L9i@Mk!f+%fWHKi@NbmehzfbM>m5kt!rHuvMJ{pxA%Bshl7wuF6q>kr-Zozbb)*uv*U z5&|Rw9f}(i@x?fyW4OMdc%IufJC`cQpLl~X4z%y==j6PSEE(h0{D@)(JKh41+fYo= zx!MU`Sec1>XY5`bPjgLso0h!H9>z&nm)xx02MDHjZCZ9WlA>Z=kkNu{ST4d4S;qI} zsY43q^I8A57;$Rq{Q{lh0CtGSQRCc}znu3&gZT#j?CY*(($rQys~aS`Kj`$*RE8DF zQ4il2;4fZw8gS=@I=we-B`XJZ^B!dub;0BvM}JrH=ng=c&UDpA&M6OJLN_GP%z(9Xz&~IZdF{uGa%bVrGsxYADw66-81tF`#DwiRc1w{`u~o&{uln zJk2M4{Gz)mn;t2i-!@ajmMse8i=X79DHmkUwM%&ef_m|*sN!;eF{y#|g^Ca=F;JsrY0mF1mFu)7)~Cjp-1R1G$v zqEC4eqSb;0afUsl$rL;8LJ^6-7ggK?(#MBEW8TFx{aL&7o^Lo>wZjkV2f@|6=AViy zYW5P>kgS(!?;|ch;bbY6gDI~D;^BENHcEr1zH!02oFdlXaaaFy5mZfba@*QIuOt@A zBV=5FU(GzC2n)k&?E~07%4ybd%QN4;(tk_VT|5}o%)M=2+-;%I1NnIXf2&CQ9?8N> zb&oA)Dk?=Lz{w@JT74oI6Zs%|L^`h}%B@uJU-3v zTP|v!XCYUp@Hn8I_n zG!NT=?Ym6&)E5?Sfwx^qSB84>=zG9cFI@_xtH_su#0wXUEza%O>xCbIxYsY~<)2cX z%!giVbYg9=J*wMT#--AqZQI?CF}X_WCoy@C|L~@p|BT(-?)*NSet*mt40CpUQ5%$d za2N`Qp*wuqgwHy#+w?)$4fXFiI^jjnhven91s#ogZ!>nASDbi(cENw{2cERa(WgU3 z^K{?D%yEYP@Zif@QdgVhXX-Ne`$wH&GoVUTIP;IoI$Hm{^6&oPdBa{O7XJUCBTQOl zR)%`LZ*wbTW>|w)Y7o6w{yQoKUv=CaSOuhR~o(W%i zXIdxtLH`=Z71!6?qM-+(zABlM4;G#u`53p!8BFC8pzJ84w)iJ{!m^v~DB!7f2Y0a6 z=|_H6vKW@2x4a@zHRbWR{WRraiOG=M97;THH6dig&RD!xo>xS?{2n= znK6`FFMnkU^cOztqK-dtbAF$D(35hL*xk%L2uvO8jt?I(ghJOpB31{?!Q<5pGl)_2MTWFh<|!!^ipJnb~bCzJ-5P$ct+50f69CpX)REDwO;eQ8^nH+k>5fD z@(jRL8I~?5JcZ1XJ9Z`)00|MUwl z&A&XgA%DHDkyKc=j!`(Te&m-K4QUl?M7~k671XZ`!Xp25 zQtlFUzk#4CRM)D@k@ij;zg;*s@QjIm-PLN|=BL}D<~ZS8uVutC}Xf%n_p zasTQDSm%D#!2B-$K@@xPUx*5?#As5g6R*Z%aLc~WEd}pus9H2(@Vs+2l@AC(aNP>L zwf0!wS&t(vWl*&*1&W=GJgcn--7t#(rLtq(7Y$J-#1SLS3!Az*t(Ox^qDk2$+HMTg z-6KnlbsjLhSl3JpdJ|?Pb@ken1VI7d#mzqL(c^<1!6EYXUG2O)f@AOCxhr@ zT-H6pW#v2K*q0-(_BE~~bArC_VP0B%<(=o;?njD;6&g+<>H=ZyeCbO5G8eX}uB6#|ajN**sL3t~0fG6M6;m_h#1VuxH>v>7XN0Ev*;LA=&k!#UN z9d#YMcnFF0Hdnw8a%;xI(Kcp>A^PVpg|Y|`Ww^)c%D+mS6pQl-6> z#3?;=z4XA}j>-6#Pi>bB!hFg)ktd3MW=6Z`_e=Kc54^pkz3@{tF(U_Qv2K``oFdaO zW#BGT$h%Q(gizL;Yn5|6%??^^74xBhWCd+@($B%<=8{;*FI;cv_R#PqHFj6EJvB$4 ze5Zgw9gOZ8<~t`O%4P9tUh~Oa|ETvL?R0hBrpWm~ zk?;6yF(?Ds1xo<(kMx>%=t!9Z;#!_vY%>4x;R@OQF0n*Y{=n~JhqZbha|jFpgp{o^ zn`~Tjy0RmiwuJW|LUuGl#z$T6Ji*Ww9c{}B+m|0@*z-<6{?;1>_;&#bb6j)0C%>Co z8rIdCbH9G?5-@)ev{n0$$*Cpy$~J2j8LzoB_$B*Br)C&5VD|KC{Vh~G)B`prk@8Mw z5LYPJ#;fjREG1a7TTGRL8JT|S4lsDc84JhLEll$gg~vj%B8nDg0)?9GHZ(7B-M*bg z->3A_Hh;G)Jltjp$3LiW^x8@(((^O?XZ+r(>&{U4wzr8`{r1XVxF06v=sx=PZ+>9| zjh*HKrzV(#*p~QjBj)~x0VmBX8I~WOnt%R_^Z8n#ly#ZV%4ws_c9@eQ1ZBo>x@TUi zhwJAGIt`ekX5=uqb@1CA-P+a^ko!2M5Z8KYSOz{ruZE zo`BzMZ@(is26;+qQ-8y})i||m9W{{`EdYy--if{WE>U&ptKpw{2*U|cd_5gqkvjH2 zXPpa8Eon)SESHYJB@2%|+Dn0Ci z%X4i$6)8qij5J=zEvhJN8Hz*CF^0X9xve;HZGJxXWChQI@ycy@yf)Gnf9Z|!>TB~b z>*(qD2Xa#sx1{=miP3ekb|FhJ>5Z4u zJ4SOS)^bM4c{Kq8aVqjV_f_R3R#W5smS4W|n0(rwTZwuc=iXesAOmAacd){8zV^0P zn?!W1>(8%xR1$4w2Ll(NH|DRHGS2IGu0~x(9clU>n?L*Z&ndwEoy{s5Lgbi}zYE!*UEk7W|qC9TF%x@4LO?p&*sE z?$UF^_UgktN&(jAE@c96GS8s+VJ|--6QXO{b;oj&45IahQsJM+k`(UO!bH3u0|42! znzWfBzrM#&qs@(Np)75h=kTQaryi1kkw)G6`^VngJ;wT(&?#M*vhj&Q_m*Wfn>jnb zh{)so6EJ5%E9c+yIUwB(&174CCGrY|dov9G5h!q$F45N>LfI#J3VwVZIzYFpx1~y< z1%}yXbafpD{eur`6GZ^-md^q^T3Pr+z4ulW*-QHN3}Zt1uJK*zT$Ui}d)@MgVEKLEY!Z zXwzWc`u6gq+afm*Nj*xmO-}*zmHnjE`%Bl?(K!Ax`GGEOY}tD+6mv6nX{h`pn?6MB zh^8xatmj1uIG4&r-F)yVvr6izcxG%!BkFYt{8#pt!Le)Zt-2FAyuIZ0FR`MZ%sBDP zs&NKXmy>j$mCd)4wg7D04fK9#hz4u}zf59KDiG#1=?(I;$PKb-8QMpY;7en-Rj2e6 z!!>56_DhRM9)38|Bp2G&_y4<2sX`E9NP`nYb1%)YzA85Td*BUSe7cJKmMGq+*JY%J z!eIb!`%FQM=qBr~G+`$ACAkkflfn9cnRkczBA5F>%$uh0utO)BY);4Csdk(7Uc%Gr zj=y@4agyj_Q&L6@mUbXjThlSS@QEyf{OV;!Gn0|u5t=`iubWk*`)LS=hqpY}NjHC> zknAHH^*+@|4{+EwfvYGo#pj`&i(3AWg}fH>9-YzQ#Eu-zY&diMDLzfe+bxD_l5;Yp zdW_$Bk?&rHYjjxe<&JQ}UZNB~ERt^U+e-(*zd8G4$u@)+&~t6?sFQn#7mYuQtgkoP zE(9@5MrOr@O%T81~4;t8{Czh7taPdhA~f_47lw^H%n@{HlnG0Z z-BkQ*sLho{Ayinc<1pm}ph)aMBNK87%F$vwfqvT6>ob7;m;(@zo!-zzje?5 zj{Mklqw;*N6vJs7TjuA&i}JwKSDHh^Xyjsm&vGXG>}!{^hkXOHpW zyK6O_+mU=TSGK#m*T#`b^@HH6M{99H&$#l`;Oo$`npHg7`&FOU^MPYxd;3Hlr_>sH z<>qg6)srghWAChfkL7eInse>0c+T__2^6z`G4+abxFsU$yVoS3vvGzyrH3{JKGvs+ z2ImDsM1B3n6!T8eSKUW=DnL)+4iR2AB|B;*`{G%rd+is@A)r+j6`e6S9g6G3{`;F0 z>cY9Y4e{9VulpQM+lxOB<93Fr2`;NiE?%Sz_vJ;hxbInO$+>v2;U&#3STMXc*E%M0b1|Ul? zT3>4UomEPRf;KVA0t~n(!j&RCyFmewQ8A^bBm$f)8IV%C9tk<@h)KNuZ=bQyC)Xg`r5Sw?&o7{88qoOv0X8rxE$i5G|F`79XwLm^ zfY^`d4pWnhTYF;3zw?HB#zg(0{=`Afv1Oip(ri7Hnv-=N*?ZU>KPbpzY}-*{xOx*K zfpm#FVC*WycJY#z$h!5*l1Syt)w*0@dik-vb>o=OU-l44=??@>f`k|)94RZE?X&+T z;TJ5EG(UInug6OID|IKV0sT(J&nHhD$b=@n$_GbULFfT8F$Ekcr0kXAVe zM_uCJThpCqCC`C}c&6F&aq*n$X}l;s?jnMtKc`;hmDDF%%O_r_EWMjvJ{Ihyj3deO zM_=mR9xQ(EUPfMdtMcF;IVt+}o-BW%gL=hjOhLm7`I(E?r<@|wrym!CuI$^SrCXNs zcHOqGyVdC5Sy$PME?%H&cR&3RzF&r5{`NJGBgj**fTEsa(7-9_<=%lAqJRZ zRFb1o`o14N?gR$$7Ve6A`uX_ypen}ED0br|)Y1gw(J)X2y%s=8QdCr7$)bNnV=^cm zm(_ZydXt>&ee$>MMQ-@S&iv+?bEc`J#C!8xD#KPT=bl+YbN1Z z?&q_}yV$#-Fi{%VK-UZ?;Iuq(P=+Z+$Y_3ruv##LT(X#|uNVU$XZA13mzP4M<^0QQ zh4|wnBoriBUZFM0#fyhS5X0!~Y|53nS)JL9+*g}fq_o8hJisk3l0VpGZ+`>in$ac- z8mOEZL}t)GeJ~@_2N->9E`%jWbkh~TxSZuM`;2Kfy2GHR9mXgv2A+y**_pBc1tABM zpLC;0I%IDvlXiyNk=+%zdYXrA=i)b|c$P%)y=r|{8ZZ>TwtFc3aw*R82sMj1zK$l$ z#p`6^^^Xce z4LQrt^_AETIW_~ro@&r)+R$fxyW&vkG1pkG_${^EXFs@j$?eMQu-11m{CWnQq3&U@ z*fAs7u2uak!p)4E(*^j9H`ICZ2x(mnU&|LoJ8jt7C-?5+u&~*d_GSw1s=>8@UuR}T zp~--(IHXFel+H#MprhC2%}@^*Wcj|{z$uk?uBO-1;#2SK0k|2f)5J!4FP{%^)j4JT z#vO^{Z+%ZeU>$`(y<;d~=t+SLP@7@hQC7mZw(x^2>SS6Ol}aTQX`uRvZ};QTE5Tk; zU?hYPDPl#llgFXslz}_X9FKzflISq_YCll|-h3VuN~b?sNb9rMf&VrU_~~Fxs&7{b z$Ys{Gd&XTYVC#3Jic#zKP7{Z@3O#Xlvd{d1}0V6nA25HS3$Pp>7kR=db2>lclOi{tui9N9UGiHkb$#a6F^MgQ zL|#v50?y(b0l<+6leS)WIx!uWuAk~-qqsKDeOOuHox)yD6YvR<%Q20|FPy3gvyP@j3s#xqcMpmS6Z#G*LTU4)TU;mgO|7z+fO~l6vex4lb6EQL zaLWDJnv)KC#%CecKMCiT7)39Jo^Rn2I)-~&{EoYdAjb=csAoem5}?$)SxQ| znPjLc{7b$(tnzx>0rxP30jC6vF7ctx2xY60u0*Ln#j5IWq5nnFKtURNqhRpOmQ8fe z&OYz2t8oQXJJf9(M)8S0yr_g8>W&Cpvk99fvLlZK6EiDu2S=W(B*ee9B%N(mHiC4axS}PlfP@SRC*7WD} zTUfp_atZZK9Cb=ih7bGC-H4z%W@1B%RV`hCNQ~Zs`<5-~(|s?m&s)>0zXgWPvdSV? zt``B)EJY{oiWE*cFI6?NU!S+WQA16#Z+UK{XXRYxVPVehp79jC?SrYu$J8q*x>Fqw zM6Gm?_^;uSM!i$+qx`s#zH02rZ7unGIe0&6=rxe(GK{LA77KleRe?h&=LdI&9)2)T zHDfaNr&G4?A7!rY?6p6aU4fuC>xuymn{AYTT#8i7`!8H<;A{s{nnn8^Y8^}G7U%P3 z<`G*1KJULcwV-ce#rJ;_IMrtf_o`xF^R5-m>IXk;BrAS(+wHH}^{x!9L?0!Y7GJvR z51W*GyPGN&uRC}XcCd+WJIW|fAzr}|-u`V4Vm$*t_VAfxV0>1A>>utgx07_&cuj~3 zaL1BAVeq!Ck~LG*f~DPv2b7OGZ3?aXfN_er*XdVAmfMcZfs4=SzxA4aGsbhrEj!<_ z71V-uuQk<>!g!q$XV1S4RHqcJ-Z7R;Sl&x zv}!nUQ)C)170!%*?EhG>!FQxsl3EiQIpV>X%I|k!v8rDf0pU^l()H~hv?2qs&j*}9Z|2k>MNz*gBg(EFS=Vl&Km-n6G8uMCag0PA|N z*B!T%aP;%93azAp!%u*fH(y$>=G@x{50u1@cgX@%`Lm60{#0ve2i$;0zMqerge^kM z7pryV{Jz6`kPegr-PGtl1Wm!@Od>I6QQ^X2fU65M@`#Qn-DJhDzI?bP1I(;Ngf zW4KZp8tP>Y%OnR^pRg)Ld6k_pl|SI+jLV#*$QI-5W=lvHUge1s|D?6_zFPey$tHOc zTqNLw#gr&P^+Y4OHV>3kB5r75fGANpDlHGN`ABzB_F-E>Xem#WsnhV~LIPvGJ~xG6 z+BNA^_oP1hBX3o<@#_v=6VdlNY+aX_4j=M{Y{DmTY!K~XyZ64iFdlEM(i+*SU%CZ~ zeGW)X(w>qS*+gh>XT_PLC4}mIV1RKlbQ*pp>p;Y>CLVnp2?HGikmP)(!5w(ws^5iu zoABf2qnj%+@U7+ra&5ExlF_p^C>xQ%_HjTS|GR8Y1-cZOxwR)c-=LT_d4n)n-J zboDL-=j=;>$%oxTx$`4QR`6A<3uk?P>33eawt&A#_hNc@uRpgD+cZwaBqFnY8V+Go zj_VWB{~NAG-<9d2E5L-pF+c>A{ZkBlQ*P*h%>wM+T(i7+%@e;Q28o&D6)8pA$fu|o z$1kttAF#(;p+ibTdgC5~KKps`qp7=ZewB%kjSruTu*aDHqaX=@-54z7vdpib|6}oP zsRN>&R#w&{X90bo8c8LQk~`Z_yvTTSTMh=$uSGbnRJvH8SdsNBFGgM|{nM3*oQJp? zqV0KJH=vz`c8xKI<+Z2-uc+&OHORF3UWjXV^Hr3CQYo5CCdc{{p-tuf>#|@u z06o_g1W93)$+~OYd0Q$Oj%)xLU%idRCb7VXA|^xmS>2DJ+Cd%bwUamki2EaI=~?35 zkCJ5EIzO9=FocfN*+-#=?8Wk7_k93^V3E&5mfr$TtlhF>>j7WrmMkkhECM5(_8y?B zK(|^P45)C{d<$BLrzZ1b23}EyTN3x5t_2*g=FWH(HxauSiG4&5w0_HH{K+NA_LYUWP8dAeWL4Tm%EFs0gC`z9rt?C9ydxPo{{DhV z?%&>FCrkw}K888%m!8cpj!o(R8OiaoOW4QKcrLGBk@z_O*wXbdfD2&cLU> zz#NqgB6EqZ@X@o*3x8J__6GWSX^R*6H_F=xm%4CBjP+{SCx9u&kdi?CU*ak!ii9q+ za{e8Q6D%PufcX`ioo@Lpa7FN@%Co@P4JoP*9GT6mXW6x3Trvut12W;CVS(h&P01LQ z?|ibMX9XY7lrp9eU<+;cOT!DdTN@V$YMhESj3#fgxw@v+YNY2txNwy~3PpjD#Wi-o z;5X4WOXF15ltSq|_ty4_NkEbh=)wY{n~L z$p5xe?udDsscE#L1#au=<*hm6{;0y{MCqE*L`UcnznzjSK<5R&Hqg>xwz29(lyGNp z?kDJ4lpAnca*mBxMu2n7vBm;l|J|lwU@p$PvvXm3C&?6;+98V&kUvIzlC*qCzD@*c zyHx!2Dl`wb-=0V%I;(YNv_yLT=8K$Nqq+k|?RN4UoAPs-$0-q8{-)O`?$hiVg1uVj z5TZs8;;EPpM3;xTT1ljzw!!1hP=gyz%+ZF7w6022#~QrL>z0nkj)U)Fhl>x{XBh+L zc;U0gliol4w^46X=~}r!cllb55KphFSOHzpOx}}wwzfk@xV5f*v;l?d;UBG+=~%1M z#d!Qy)V2dsz&X3ETnu9;+B{WMjWMeiSkHRFfU_*VYUb{%L)&CR#`ElDr0?HG+x7>) z*8S%@+7adW7cS4ZUqsrFKK{p0?m{Q0T9b@j*hd_^d15}4%7(u1PjEYrZoUuPO+%r! z$~>J0LeE48q7;1)x8zN3mpP^061{4Ly=~Nev@*FRr+k3VmweCXw8G0JRqwLSoWG}x zFU|{qu6jaY=j2U`_mL8MJB)|DsT|KYkh3@lm%f&(=1@7hJ;ABEJ8qr*dPXE3RrPg` z0KZPgnDrZ>+Wu9H3_)HERn?AdVhPR)=)(Trsvmv->^4-bl|7PJe6xofBKvK(RE$vZ z(}8wubj+JNZpr0zZ8EmUjM^yjS|rYh8qDPUO3kz>UaHAxHpdCO(y`GyB$&F>O8~FAK;9g)g#eemWjJJ zHPaNtw6M-j?Yxxw4~!TBFm$JU(C38{BzkmaKM(w~eFN4kBn=nfJD)f)Z=b5CJUUlegi#b(YW)w%$_+=jx zq(y__E9WcGI8^QqkW;lCG@kZZtEA$sV|FTTUgf6!!Zs@*F3OZx9Al z&-hKHsZaNEn;#=NFJ65IW<6wtIJ0Fi@jNGQ1i|tX*Co>I%>k$LDrG%FeWbltUaxOiX5s8^E~JtRQy8zZ3! zSG)g{V}`=Y%XePNW^QHeda0ox)KNv*iS9m>I*SiuT{QEmho@ejd;n_8%m5VTR-e_+ zn~nm`RGBr4)SYZy=aicFlD+;SskiPEnqiUD)Ruj$nkN2?2ff>3?=|)@Fk<;>$bI%Q z@ZDmpLfbRjpyoxMGWe3YjSl5bGJc5NghErC5~KZR`?TXa_xh8Ls%JIO=4nE8V-0ueh!e2p4;wN@x#WZ z+4&?C$Zck>(fI)opMv`Oq6FGlIAdtk#w_7=r?#+(KXUZG<_lY-n%=h+Wb4Rr80S|2 zldy$jIF1GpY`T6Bj@}%db-sC?`@#=)*Adt=ez+ZB=fS8*cX22~ft0u^64tNIUi_x3 ze0sWgb{tRUmiY7Pg8urItF1r4V~TDOl)*D2+1CTiSO-|17rpV+pu_`=&v&jPe>9W; z3f|WW+ogl@R2y!+2i}{d7hWO5ZKJ zf4ljFd~&OebbD#eH?}rW6^bRF|IB3v2AFx5?8F0oSmDC+>=~e?*FLLU_dNbpi*lX6 zX{*ZHq_rOH%6l%E`O5I^i7M(k?x&!lurS~j`qo}*B+D5@OYcRe&+y{SC^3rFecP;a z=Z&MM*6CS+msB8kPuZ4^N9k*3XF$bL(51l2Ou!cLsFXXtZ{^fg(t@TzsV>Lb zmr4l$<8H+IO@kLd1mB@Xou*#QW44`lykj^UMbw8ic%TZeI*(?wJM-@}j~=LBt`ye2 z0_?3Uer%U2CDJl&TU)Mc8P$2hbDa8R?#KjXbW++I-M`x;K&&$hzo&2Z-fC%ZgC`|` z6*HVD%}@q!u^BGi>6e63;Ovc{)~s`bElYc(&lo_6`7MCMr@QWt3l%5e$|b!b+w5K+ z6PUF(zl%BQXo;Fd!T0rY&AHCClXLj}eNfl+VBMkrJ^i8D@nk1_nlq&YiK&?I9(u2^ zYgwVov9sZo5^MPforYQ4_Spc=a7p;d6z8lf7}~u~Y7F+Q6m2ORo3Lx>+E&j%;G%uX zY@YN}tNutZ{YZi#&I`9ewQ=Q$SicOM%P)-&#s0w3BVy(+61+ ze=E%DB`iiK(zV7bFcnC6>X5rNn@RY?RiKe*h`2(rzGX#sRzD;0th54$Bg`b80zN>s zafkIi+UJi(->=Edl-hBJE$1ip6nAayitUg?k35KqT?Y6-V$$8&gEaHw%I3_lP831l z#Zbr>CRollQfNj@+*tgC`+%91GPba7gj#PNnc362aNJH`O6OgwH)E5Vm1mXT@G*`g$@I?WPRIZdPCGw(C$azWkYY_tm-y{dtB5(A=2-tU(<`qgCnyOP^ZLPh$1?rOFezt#}lr+wF- zL-t=6qmRV3?~-qpzx>is5XV9-6CS6xO&b2t)?)&RSmE*hz<-wVGf-*8fBkOuDJk7` zzT;SE`J&N|MCz~doQdmOP~X>3Fr~@E% z6N7C3KkqT<@W%EX)nPG1;`MC4M4(pY7@F0SD@X%`-LUdq*mH43LIC>1$@GDYGZB)j zGij2R`Ptc~BCto$n`gCV$kN%+EV5qo(jqfV<|yhd_qf@UWc94ZGu^vG>7Nq!4qy&t zS3vl$FNXG^ydS=xvmk*bGB@bDm7r7*Jel+MRm^f1o=v2#O%{8siFF1)4wT^_v6?-g zn{=BjMWuiy=+w$m_Ty(zJK9%48&=&v#|_&A6oXnxx&;v0D9qtbMdX3;g7hEE%6jFA zx%R_`VHiCbdUtc4!+5w3!9Id71mk$AK53I|8Jht0m`L9Ok6%PW)9)7T;+j$Pb6NUX zXEWnXJ`M3nt^}XF?8f$*qv9;7gF?=T@A2DiwI!JSkPwMnIPLG__pMyz84Zol;&X!p zbTVu28LHm8izA1U`ujtwg95?vbN-5Vk6T#FRLkf7wyiB~>db`9b21jX-Ok&g-SExZ z@$@&}f7zxzPqL29Q9&BIZ1-fx82rYq$xV{`Vwf&Iq5)0PUbT1lAkY6%pU`!ixL3!1 z9RHl?#L<457Cd|tSDv3UZ~SQNYQ9cP=XICyAfHjI8K~LNFAeKxHP%($FpA6K1!G2;IBfwx0Jw?&fcJUa7xDUPB)TBHJ{? z_(THu3x4o_?J#}wRAn0Mf>19T*||6oe|_4U(K9>4y8jOgU|gI7$KA_8I?v?6Uf?Dl zJ^tVEKS@xDZfb*!pr%iN`}4Wc{(A!J5Q}U~{Sz5vpS~WI8E>8p#+gj7*7!-{+4QmR zo!I&Vr z#hHN}<&kW8xN1ooK9*`BF88k+oy~kx0F5Gvl7RqjhMs$1`4{B+TF-X3@PH6GwkXmy zhNX&j`{UjaZp>PgxP(T_sa)^Y~R7$#}q@+8fySsb9Xc#f-zt8vg zy6*>jw(V?Z=j^)PbzP+-qDf?+2%`7Rs`1WWYcCycQ?F&J?!o7(tqy@MPlLCs;dG!< zY?|=uonZ)L%@76Wg&Z>tj62;QUzz%JtiIYcNED#GEV(?iy2;NM2}6C7L_UpeoI#zC z%U6&>;DHJ@Wt2svf7?!!8h*O{OI{~t9&Z@*h~^zY%9y8U>*?CmK=HjskfGxpe51l8 zhB=otFs{dQlAs5u04e)_u}2@-IqCF1*)~rPwNO-dDi*DAQn`UKEzH3MwCq)zlB zZXhB8ulR$^8EtM~7mRZ=TQjyAaP&78{v6jN%v`qm=H#YW2yiqKuP+{)lBr-|7vJk! z)RB3Yl6J)}5K$aEYDE1$i}6IkT5M=%jgfHCI>#T{PlKM#y39wkqF44$9_*?ZDzFiD z*~T4MAYZ+{PN-RnJxA{UqdF*7`jgKDRG$|Sh|1q?=<(l6JotrfV8Bat1Z*M@u6dzU z*5@Nc3_k&=b%w1==3S75JX)c`0na^lThDq+h$@SZjLR zHom&oIGIL84Cfn>)6iPK%8Y|XtSGqVnC4f5)mKG<$Rp@LpeKrV-}xNumGBNqCH-*f zn&zp06)|Fym^&UsbM}}w5{ot6&n+DYQWKag(67ZaT(=J4jHp$fdD45e#J=H$jY%6KulN0Lz@J14sGJPPHdDVv<03w<|HLc488><-sp^so zN!necZtFkGc7NDkIm@TJ>F}_JAi<1_`^mMBs@hvO67w_f6x(n`w-UArR+|U*htAmA zxfVW_oV@|{C$#~1oBqS*akr{!Rx@2XDWM`-q^c1KEU$Y;E3*l>zmM?jzQD{a=MvhA zrdg~1u)lS=`gh4;&WgE&8Aou%EdJ%tlia-UEx}inHB+oRgr_zynGHHs z;%Y|!f3IRa+W1fv>}`?7Le+Oz453Qd0R4qtlsjeGcxvV*{pRD33jg`?F$_tx641{c zSoxf@uFrgiEYRBtt<9LS5WMg@$l1QnvlgYM@1`Qbc83b(eD9p5Di-_ zC~dgRRsaIfaJ*v85QDQ@cArld;vCEGKkd3F+a1EqujP;eyd5YNw7X0FimywFSwiOU z(Q9QqcY6r63S5LzW&a8PQmfD-0q=FARt;h*DL-rJ*2=ci%socWI_D-9hz^DOLh748 zMef<4bWWx77TGnVD3?*JDUpX>Ct*I5z{=vp~5h1>j@Zo#}kY{;D4Mp7vA%pw*`IHB$7(yu{bNu0T+H<%RN!^)hW|M|(@GI%(${wxxT1b~jr&lP zENmXBJo^MM8?VuwTUZ1d5O@?Ej))P}-=UO9US0U}%Lxup2+C+XF)y$HpUQW?T0JPg zbNTjp>4tZmP{Z~Pr>UMwTEP9anHr-K?R`aGIwmOUNqKvDZO<%N_;smmVefkiHB+kW zz6bqP!jPSIS@DhREB5d+U)z#LD(4f5L|=RE99~x*u7cjNY0EB@^WcV{5^v_r3u)xj z6i5x5a?WvldfJAJG%1(bwkMZvpbxQ5q5aOiVT7L%#h~rOUY^@Fyre209?kHoF zRPq8dB)Bb-BG6aF=D)ald*RZDz?8&XTwE=I8x##CJ3j#HGQ#D<{nf9i!Y%Ze-8P4w zPcUID2tqc*2W(fPh@6I8leJ4KAv^> zZewHPfpjW*{@gGMKx+5gjiF(*ykBL?Bjj;WtNSo9*T%@KDPJq!W4NSqCeScpmIzGP zW;zMtvx(sf#1mf6ee?D`J!()te5&^ct(w!(Qf$i$jstHSmY1BFznEHpqJe_R8ZLLS zwWk$p42mCl(kc5BU4-n4v}~67Cp{1hZ=Z*AZXmpM6KGPv%WpZo1RNGug$}mevB;3(DCn z+tf40!0pr+>a2cFGJukrKp`|ffQrHqD$*O)_+P)D_tagM>pZS?DK6OZ*$m5wQJ-=) z?hqI{g7KRa&qvJ6NGB@$Bg7n7#Gca&*kJJGua+|jC7u&tJ>`P-8 zk>CR?5WT=LtH4?=%xrceF@{0dKUHF9&eZI$$HW`!#`WiIselvUcEy``@BnVbB8uwf z=8>mYqezAHLFzTSG$Hql+RD&C4z3>}a%*5Ix%BnV`4$A*X{Tl|lH~P;!f~V`40{K{ zDW?>pz&DToNc5$K8$A!6t2W<%WRSj87FFcuIwp)OR_ZgjP=`i)szHCjRT-LY`nVQ) zQE2m-&Z9Xc3j&4FcEey-6{-{jMQh2~)AvT~un9=6b)7_=(%j6t1vZlZcEqOBL$mV>ZZC^3CY=->eX5HxSM%KOj&!FADEwGF^*h8Ex5G<)f zHSW9dtCBYP?q&?xrxxLx<6myH8|lZaYx_!sdQjZ`o++e^$?|Se5!BAK8!XWGiP`!f z?mgicdv7$5@f|spls1H5b$Em*P8JyUBWq%p=w^W>ox844o=mTTiPtK}gCKtFF0Ux7C2cL}-@@_!n%!bRzve%c@Lzpy*=q=DRlw&Nx8@$5_|DUS5xhi5l4+>RQ=G8 z)t%EPncgcuu_n0XZwPEfLDVLK>+;=W%Z@iC;?a_o+asjoPihv0&z;rfig-T<*jI4m zL!+zLWZgXJG$ffrD61<|nb)05Xb3f$^Z!_VwLtVeH$emQhT`EcaV=kmq&I$P=h5KB z`mO!5kEjGmtu{UStjiMN!ROP1@>O&z7X(4y@_}IzpJTG3IJQj574cL{=Z6746w$rh z;xw!z$e6R`nZ8sm$6$&Snz0bx9$s9EaFyA>PiUirQg1On{Sxry`OUk9Y|)D?a)>q9 zh}GIRFq>*jNW5|SFx&~oL)FGK#Hh88C`tjumgS_qzhM8eYBi-kd!rc9^=C-ZuKL~| z8+n9lo&9x2lP;NtMsI4A_)Qco-&at} zUklzAdiUCe%Mu_Z%N($JxsqIA&C*2G6+faras#!r@u@$;j{EpK1`5k8s@wgD;OZ*< zQl2zp8?h=YRnrl#hVrKkglyD&vt2N%cH9jyZ66h%`w%@GqIr`linn?B1wvVc^4Xoh z@&1MmCyMsBO6sAh;dh1|m}4AmTpArB{sdyq?n(G>QtA07%u|U_n0`5tB}JK%BOb9* zP6q6wZn0BM85!b%o6lRoHx0smi`UrHzPKe#r0-e@#7$d~e`-u3{BxZh$znH5BZ!|| z<1;9%R0xHIkuJA=BH;PqPuTzeFHX9XM!cc#_i3r0kGT9_W5`ik=0vHkZT z<=e9pTEveFgzF99)4`Mya~oHfnr#oA{AuMxDDaPvX>6g3BYWWoK2b}HRk*xhV@J}ELm zSzQ_i@~@U7zTf06#-MUN^28*$p%YL??Sb&2ChNV|Kd!x>=YiL)E0$O3!jTW-_uc6a zmGQ?g*~}YUlhJ*Fid273Z%@U=9B%q%%}3r{AIDgLwUe}*jLnd5FUR_Ks2bz+RuL=B zrMG!8Gfqdo#B&%cZz)J&SxDD;ycFs++b6E=`!dGa#5Wd9>Ibhs9;97zVQgDvZRTr= zYLALv?LsEWt)1WPPtYSF-nEMTV`Fv$^yBFqC|}E)FXxe3_R~_ z@P-?T5|gs7L!rBJnRCR?{?ZfbiG@p@?0z%JOK@Xb^ft(86Md1ivbBU zP))2!R<*3^JL$*y6X6ceLUyj%K5GdZ7_R#DBA!Z784xbNf2Uu#!$dTI^~%@J6b zt}J``CotE>#Ts-Nsi{$UIz_chXZ!~GX^=8sJMeSN7(d{v)j{*bX$(IarD)_xsNrh1 z{8idIP;4j%2-W%^tNq)t85FSE=ta((u|=yW>C8DM2xAIGsV+{GmF2_5u_YNuKpJ`k37Vzo6Xfr6Hr#=RGaev7lruP7U=*8%F zAbXP#@h46zE)x*M`>2H1Jm`=WKbfe4arx<209@@~~V`*dK~jAwg8ut5=z#f;I3 zW4-0e!kW$p*KZH#JT~t64Z&*5Z~W02Te<<8VZ&16;>V09mG%W{FJ3?0NTLw$4~31J%+wpT_u1~Q(TSDD z2?Fk>kdMXuc2fu94ON<>k!;fcz@Hl3T|!s)7Ydq}H7a8GBWwg6jIv2zGRpXUAJ-Ur z2YlK)P!oCSnb+VKDIh3^WSx2aU;h!<-hR;2)_i{n%%T9M6m*NXm0qJ1waes$MNLGc z-HENKo5gc#plzA5pL* zF6(h5&#lrHUAlZX5|fAF?RVAi8M=U|Bs!C5{^CCAjrxwu;PHyo32|eSnqguStLfYs z-|7)yZ|gPxzl!y5v3cQhK#6lFWinIM^xQi+4cBUn5P@5|^*_PfhA_vW)qs`#De5q( z*{n{^^;Ev{NyveI`05?UiaK$a%H+leu8Jl7j|5`zZj_WcE7L%+_N!AhLKp}PxF;L3HW*qU$q_LAf_$DpQ5yL`Fdf2*9Q9{&7Ejpg zaq_y0(6?$`yY*aZeQ`+L)!&EjCmNA;q$b@Kp=?RN1FP-((cqbE7QT`rYV%x1VC@M> z&P^=_vckcwo0_Z8lMIkFEV zz9SL@9>~#CzJ=V(Ik3Tfm2&#yRh8J2+`J-uYxjF-{}JD8UVi6lomKj(AaEpL3-Sr< zS})g|lFZs`Po8xs%O`(LuVEy|bxRS+C>?_q*A1W1_ZS;X&t#ao?_Kvo z8`efH2Mrk?zqXLGq(8IPhby2X7MZ$=({CuEP^DQjz76^0HYUU2dqhE}x-!8uIPh^>$*e zD{4h936JMJ?baDJPp^*p34w_;O<>>AzmkeLv zFS#5>Z-PC`@Wvh~jtHLoIDEoz?kmY31wh@#=`Dhx?GW|wz(J_1%=TuNu9EpNI^aleil{yenAy#Ci8&^wmtNY^>o!M; zk27Q+Du689Ix!sU&@7%54N7@{10)iv0~ABR>Oh7|u_4=sDkI9uA633F z9o9FF*tnCidt!tO!{^-sf4SF(ot>wsNf9is9uZu|?P}ZqU+ToArAxs_mT_=Xbrt+0Ajt8gr~5Ecr7xDu)QL-+i!~ zj3{=k6^Fi`AYMH=XuXPu>?_z5XH^}%4xu4h=Drzg7nbn zMn|Gn$lqocLz7Dpwz%h8dCgj5(s2%+GPS+LT$etrpE_x*Wh{;&)TWm zN^4?qF1i)i($s>C)1VZ>k(O^8$9Z4rLUj`P)W)di-eqlEp~@?wSiT+ksX%_C#oI!D ziF#n01M`Bj+m=NkGnXmSUCAk_!V3=eivPpZR&AVZn%2D7Vr~5h{IBP3zp$H2q@uvi{2rJx(JWq=W(J-FMmxPh<1C3tjzF^ktN4}EM5iaI|wfHwmZ^OKHok?d=G6ARg}1NnFtv#Z9`_o2vsEG^^y$^#D`pZKJ2 z&=C8I;Z+@P*Q(nTuht7c$SFYnBhvl4^Jo&Fv%KA-h*R-T%oj^_$F+tNVOuX9 zxXmPK)preYEN>PY#2nso9gQ5W-aYK3p21bay3JZ_=aXVCyHrIp_3u*@9KNI>({_76ONZ2x(D4ikJ>;hjW&{PD7v z-J^82mwV=T>p1kCYyAQ2Cr0P-_|~xNq-c!P>oYb?{BulT`{*{)OILA0x(csw4rt&R z53oL8NgSKPlnolQ4EjbJi2nvgcS!JF%hTLC%i(IGR^T!%ekMa$9I-s%BMuSIxOZP_ zKuexFgIbCn7Ns2(c#*mV+JBGyD84x}9jxY~o#a${xrr_tUB2#I4%_&3k+wSkpfVXM z+gD@!B-ge<7cu3a8*rDqgHHgrgTMSP*DsWNqj=K&F=-$WdK zsx721$m$~Ra>;*bu}8Gj>p_yHl()BiuOCa-D&gV_+lMnRol)Y>{Z(niqThyX#kdaq zB4`n#H>aLop4$m?z+-Lxc@HOEE0*W3402zNRN-ij4XnwM{P*f_mf3=Kf7@KvC)w4H|wE+zOcrx!=-d2UnfL7`aP9XjLJ%kl{)rsZH)beIkXRE@UwjGkwXZ{Z1kE-TZHkUTDfdH}8IhoFN;68iX3nCo&C3$Xr}iQpDv+95_^ z{8XXZqA1}$@dv3IEqX8KFpF>G0wd$d%vA=wuV3l9_sEak)oDBN2W+% zTXCEM>{*l2IGD+x8Y=^ACS>jXl4Ptyte%;9RbhNNLuzoA)!Hd0aPQ{(qInNAHbAA; ziCgKR+5wx*#48*4)5qD-$;BXi(e`Q8e4Qi+PB*aw zdRH|XE;c#DPUC+hq7L2fd7~V~;A+?JO$s;kLXAeqxTQ=JXFtgvj~R}^iLQ9L@K_LT z0zh}wNZVBb*1FBB_7iu^4B)-I7*Q4Nio+7LMaQ#XW1*8_{0YEbfdqI))BG3W%JXg~3E~IM#M#nZj)({rl=x+jUU1e*o2$$u%{bHpQYhhcz6}xrQVzsaPf3X^ z3kZG+*fJ^bZacofnzh!P6rd$}YH$nSY0s~?20T*zRBNgb>vuq3OQb(y0;*300a~h* z&}Jdfdl0Qr_8|qvyc}s+<7Tsr0B!G9VmeJVycmxhXK4;zxEIoV4)Tmt^57a@&KdSB zDu9m%4NP~iduE@0z{kpm@2h(>%?ZEkBwiAX&9XqH zE>F=%@C^$VWN2nN2*bbhU!V5tGP7QOXM~)+b-xw+wlX79J1R=(4z!C8Hwd%Zw9H$M zUsdT4U^{9S2fZYS+Dqz!FCBY0U)|Xr%yC*HI`oUVFCgX2dSa}&g0aIL*{&jJ6Z#Hr z?2e&u>$K7Bel_9c`$d-%pZRH@OT9o!ZF!dB{_u{Z2ZZI8c&1gA>yu4*^%? z6I@wVl~^klXnXG;SknB)F>9ZoPobPFF3{50v$9>#U~5qF9xejy60*&y3M2XIe>F3%B0cbwVHW zWGB3u`ahVAt?H0VuVCU|_?#4&N%*1^m_PhGt>qEmfjMyP#&aGt?V~2-!ZvvP;A>#p z%YBRV_odE$Jd`gK2u|wJp~uJ-lwi{gJ0|Ko1Ag_}w->K&aO^1^{B6IT{f~boor7#} zKCkuK8b=b6f1}A$es1 z2fNfE@NM6tCrBB*Y1OEauxfk9A(yO25MV(?=6S~Ks~}2k?9WgM?lQZx>74^m#Mg5o z&ui3;3mFRdjlQ;$zeJLFDY9oXLfb-pLY=T;kHxY@uP*IIl)APocIE4Sx1_6RT_O6? zMA(WFVWgWDo3Dt7uN3ue$8%L3EGSt2O`nnG3|8OjSUGm?o{+recXJmHq~roILCDGU zZ&Mi4<#4^H1zu;w9Tz=b1PS?vUsVvHC}+KObwKcKkh3vM8g!HT5Xmd0AgQdU{-T|n zKiG2W*NFf+N`90%NS55R?`|eTcZUbrMbTHd#2$uzoK`Em^kzh88Lt?p8dALjyVPpDEJDw?DCw{ths3^quL z-!X2d*c=_n5cxF7q6Dm}*FLeyM=C0NJ^Qt<0oCP&r?(W5z~B$op0fWbGb}Yea+_ij zr9-qjvk**G%2|B^<$MG0t0h0xXa(_%Vj&dhPQ!K}vgkHmy~TCM21^M7GN^KP6sF?5 zGxh+o?`vDT7g9E$nh8<667p>G25Gn*>WR#8L-%X8>#Q=e*=7Iz;e)1|i#b2?hnKrO zTxcXu{B)NFpL>scm8SM<$k8Gi;+2Cj&Ph;HO+3}rwltS<&1Z%;{M_c2=6 zf;NnokbE2izOGRmFbYho$g2v1tvr%!^m{6DuIMW+(wU^$aG!r{lqm6`9r382{#JB- zKs_!c;i#KW7+tRH^XIe{P@dp1iEP#X^<+;5Sl&xXk-o7Yh~4~{VG&NeH1RxzZ(Yej z+CywD4wNE`1UQUXfJl4<$$MLcU5 zSUsk$0{BVQt+b0FarJzg)X!ea)}RNe13gru<41B4py^uE6_Ph4>z!_wZB>{kC}qq^ zrZ&f@%QEEr>_z}F?I&OzTF9`FAqu8V=bU7tFh6evPB zCZhyWpO)q0&t&8w;?r#o+%12ZHYV2;qB3%eAw%)7rl+k3jt^Fn` zYV0SK7;N>6WH1)@<^@9;60lY3cIOX6zj8LXsxz8_&M75QqEjVp6JVK3qenHtyMg5f zK2@fps~GbB9E3XVR7eUXQEN1}1{&GULHE}~jUE@s^^eB2g_xGVw7itccI6>-P>SL# zp}t^sm1LotO*xcl;H7g5X+@rORwt;o4oNO-sBLCcgSL^X(#K=od>3 z6$;oTG+5UWS5qm&iKj6FYvlVGaeFLqx_%Dc|MM6Zx;Vwh^lx0BLOEpwV%(* zz*5hiY)mm3><4bQzx?CY68wqe zQ@=WP3pTfJ0oJ@jCMev@^PiKO2Dafuy6$_PqfkAWC`;T?`|tgk(uod*Hf3WY%l4vz zvZrzGJA36u_(K`Bkj8tDP`k4R^{da~DJ$opRFm6IXVGRaVlGFYt6f{tPj2&D0*ueP zRp#y{KXX1(JM&o5KthtU<@RBA_bjTfm&KoMj8KFI?ad?|T&d?o)VJc$Gq#Rh`LyoK z&0h7l`6qQg>HK~JuXXFdshi?1#4sWI)*Do}HSt3A%|UL`hab-VFT&r33Y4~9)rL?d zy-sD8>$Xk6>~1a4^=Fy0L^Q#RudKImV)5w`NwKZ%%*;GH{aluRFZx#)-k0-D32NiZ zkE^dl!s{NT>2Hz#ne1o3+~8!}_IaJ8f>TIBxF@kDNx9s6mf+yru<5>@<&B9yLk@Ym zN&e@Rx3is8eJUQ-yuR{BPZIb=)jb`XjV(w9J;AX>E5oSQ50yIC7Lso4vNtIJqR9^3zNzyS+qu#Nspi!Re-R zrlY<(WkGi;N~p=<|rT6U^`dKkz*Z==hrDo-~UUfoy+Y@GKp&!M8+c zQqVu2dZ;^92K-F4Q%1&oVUxbQLn#RwiVP;_wNelCUJ86|#rSv7CYDU|@7YH#)d%%Owv#fgUge8(h0uYeROK|b4DU!NZ5T)@b%-i)qB0B?aYKC`UR58TI5bNO1 zmw$jJtPPkzo|5(s1yChE#HLoeucJVb$r+7#r zhTWcSel!AJvznC_jo~c1c28|=`Ltfpt~otLK#Mkn(nO5XWf`+H_)teQLC1HV0ahkL zZnnPjb5%>=Ru1j>M9c6a#s%|EcP!wM7NVGKVZrR`&PvKb_!A(CO52S>%+{O@p*}b}u*33cvQBWLiDt9`cd-xr4Y9xzjHwEel3$s&yM}4C^I(9kGut3t{Hra8S64x zgK}TOoK&7jXW;1I>@8CcaRm>wF^pN;BH9HrL{}|^vu^?#Jj>2PddtFPQ5aRR-DBXk zq!9xe`Sxkd1?D3QcD|#VeLF!3Q|EW%dvosnX$5GC^`?(h#t(Dv+e5pqR4GV9%AaV* ziu1h#-S*+L@7ps}mrXo`hGH93+JK)ygMa~D!aPTWBWi!Jzi7&0!FBCzIKhG~44X6i znf=^yJv{(x=TXaAxP~b80P?4HkEYjIE#W({^Od=$-CnSNh1It3(;p zAtHk$Z76GHW13t)d%tcCFIQGzZ}5H776%YK78|nAveWleDP@SP_BoKiwf2bwwPCzn zH29jPALGaHK1`wYI|RPm98M7byL?_=0d`bKz=CdRX9lm&3oq$zN4nX;TwdFb#0}XF z907k$KTa3Ca|cKgl+UB}33+^ict7%{x_mL6wr>@os>0V~P<;0Wj?eCNCnLD*8RG?c z=$T5MzaIvicTpX~$7=oW-+_(9JNG4{lY>{mWzKdI*R@VJzT?Jy+$$?zK!#~<8yd;1 z1}0|nJ4g1BvbuB&sFt1nvxqTEYOm@^ZpxuLIDM3}T`@UdF4Q0PSIAJ)h=*X@=8>Ax zdX;cq`N6z%HHkJ{>g6x<-@K*;B^M-Ik1N}teRb?$yv%cglKqCc@h$d|C6XJ_gBB9+ z!nl8&LtHuc)9AL=361mTp;?Cqe%)WX!wEvVK0^DQTm6T7U;6uneI4$lfb}TIOy+$V zKBY~<|I-bn5cm8oWnLFxW4XtAm(`Nt+2Av2xz}lt1;MgOzlr444*!}UzE;?ikcih4 zP-;(y8RLQWK>b545bpHZJ8&oq=Dl=>nwfUn@o2BJiow`~R?^koRbe^5yUQ{0!d5H- zaq^0fY`=KC)&L zN#7jH;-cut!w(&MVT#&xRAXZ1_hE-ubuNCVJb(wV#){Jj$%8CBryCF3_QNN-G9 zxuexR_dxPua(RTii~H7H>wklnGw`NC4?O%n<^c$+qN28+@VNU<-z{DZ4cE%)foWQW z4WHN^aNP#0M1(!F+_ee;{L3{N91}w12LFY~5g*;Us6S)`{cRq!kD^=6ZRDDFOxExG zQXH$Ny!|vI_NXz~<&gV7mLT&5tF)v8w$p2q0P&SSd$49LMa<^znTS|xZ_FNNiVLmE zV*AoYwQ4zTB012! zNkb{(7prM~RwJz2K~LYRI=b_}&NesYv?!3h0=ItSUwzWNfzwo`|1mD&va{NtX>B2lzI)`*$wt4iE=f@sJ41ejhry-M_l}_6aA= zH6ayb`bQlNR~iY)0Co4Gvi9TT?53&czK>2D68)aKbQ;eIUkrO764nc<)z#jf(%^fv&-yY1R5r)0 zW*i0XH#h0!`->TXiM`(rpp0mbmE2W=$Zjw}KGLYsw}oIdaZM0D1;pQrH*>s6uNhDO z-HO3SaG#IS&~ld+vg)XqBTpYN0k-S$ltCpicdE8pB zG0S`UkZ6~Xh~%)d7mlG%4^;ECpPV52#k0O|F5h5QK)m&q8Q(4X5B5CG!imgyf08XC zu&I>9GXo>Oca-wGRyllsqzHEt#S3};E$gqZyPoL}3n8WIV7W1Z|T*)#Gki9p>G8T_21OKoZkO@Jjd`grjU4r zW0R?FH1qP)9jQVGB~65v=bwQBhn#~f&(827Q50lEDA1YIk{8O}uY@8Z%$Hn3lsP*s znfzYDF3UcG%m`3&p&hab8?7{K{_wbs(@s!I?1jb?y;Qy)bRyz@bV*z~qnV=8*6Msz zRY6a6laX zO>GzebEMU|XPJc@$dW?;(dA-X1tRnrlKfPLOxdMPbXejwt2Oaqz!faB?5_PX%~Wt% zMO{vxR@d~il$SSm(>Oi1%YSPKf0Ff`%5Mmgye_|S8X5LhU!vmG*a7Ah5xtM;>}pee z(Xy9n)x9bBm&@{`x4`eO>xWE4`Ng=R;HOvlWp^N`XRUQMQ6$0nr3M1b10A0#vlDynO3BT#zBXj+7w&fXc>CB|H!s;FdnO+%V%+X+B2D=G#fDc=pZ~zANrCEY z@quBm?TkwUtmqH#=7iZWof3Q#!~1>QDC~~4FkZn+@why1%Lb#eGN`gTF4cUW1(1jY ztH*^K6lUcAE?P7|GyK&t`C8#X0v4ZpR=bf}3=thNvjb7BZ=Dc{xF?!@maWOYM!auM z-{Ls1VmK6D`@LqNyzyCab6%z6KU4C@ z;U?R#5ct0FEvr%MD)5C2EWoXoyEGgb+ok=uC=QcpnG$;T=M5oSFLsD3>Zn0aSF<3RQA>t*LE24=*@0jcGG&=+*pXu#~9@$-ccP1}852K<)Yu5`|`LW*=95XhkUZ;%O=CpzZ-fuHe zn!I)V_JnbYHM#mi0m%gZI{k2K>#(>4j~G1^uUqC(+xvW5+eg)e5dFsfnr#m})P|i5 z;9M@#pR4xe&9~fsUH|CcfR1RD^df7Q06~POX3^RasfKj-KmPp6&BeWPzxSvlcgs6g z&nH?Cov26KUK?cXG<*JOs>Q{uBkahQG&#vEqpE3UA(gDcY~#!@N%ChbzjB>?M0Xhh z`q2ojSwk=F@t9{PVu%C+x-5wX|BO4fWVw;^7>zlNJj@lJE3QDa<=W55W#I%T zZS%73B(2H0)91Y}G5m98D0e8Nwwvp8_HfUg32S;J(tG%!!BR>m@i{0A*)B1pZ*RuK znQ#=2CVAt?;O5>=Aoih;(Z1=Un&*tEj?K}nG`Z0hsb@FXV3S;)`@<1k zaj56bYmapjnsNWMNw~!f!loh3*>rOplAf8%WAPZY#lF})#eFJ|y1b2EeB5>=PFSF! z%+swOj6VNl(_fB?Ux}lBsISr>EKft4qD+y z%q4lX*IpWxkzANf5kbDcdt<}R$6q*HzU>n&DpM;lc1z7c&Za`~hSz&O%*2N>g?29q zTTn8PqL!2A|1J}hB6|D~to^|brDiql1|uJ<7<(vixdsjoM{vE>AZ#k85}0`H?F2HW z;1V-39OE5#O*6Nw?Ma7q-Glphf>@^&x&*08cXLGB#zIFliK4!#-vgrMeX?tpPD##s z51L#;4X2J7Nj5A20%@SVem=>9RUiFx2AcbQJ;9)tvRknl+2Ohndtjf zIV z4|~QW*T%$e$h`ZG?<44rxAvU(y;_*}PSdok+IoCL)ruqC9yf~7d@PEC|PJBj386 z(#3-!ufpzoJbI1Si7vbvd_buin_2wU^&1cNT1*nJJ&m!#m=aL&jL9~u?&ZF2zF!Z+ zrubUzbTF7CV1EW+FYRu-b-L-ew|@2jdA#KNIT5fZI1FeFp%c~`;JESYjxh(83Ab~f ze>RQ0k8XNr$v5I|{oG%rgHc=%g?xEErN&j3HTDSrDL41gcS1dj?RS#7MhYAs7X)C| ziA#3|Z4M&Bk>Uo{QntPm1y{KRM8DHGFo3=<(_X6ivmB( z4xT3_R|CQNawI7~T}Q~jPiUM{?`MG3^MB-l2Cv*bNLTE}#-H}*;JzMG0;)9CH7~2l z9g$rDCl)AOU=egnHm_mB|HT_+!%s;>-?_?(7q?@jWpb=Li+?3R`0-gJe+^wbS8O8> z$A1`A3-@wt1RkX_u;p>0zch@=J*;r>ia#7*mQ5}@+J?Y$58^h&(Vw$iOGu=?o~$;n zdY!$2ood`!7Di*3A7YAx;e#)`(!BYd1ntY{dtVSXPN`X*~Pjg7J z&aHxk!mO*`i>pIF0yiyt$<^}I?0a>j2GUul1a*uJ;dMc%Bv7j~cj4d9YKeB2|15$T zHkKhn+pS~AJ1L0&PPk`Xg1dC!|45zdCo_fXGvdjO%PtacT(1sB>9c_p%nbeZ3>@1& zC82ip9Ccc7`GK z05mUz!ia5a)lu_LoqLy#__PVR04;;uSl-J~zeUjGzJT<{7ddh7)Jmj2p^6XRD88|| z^0g2aIeg^+yrUAo{18^h3ph5s=ok0WQH^%fkc`&dI%}Oj8eH0#Dfv@ha8x)R=mGVd z{`uqZyxI=GZ3N*pyj&s)ar;D${K$`IYWzU)C%yh(*KSsw-zpmHTz0HSS@%cE8#Ufs z;w=e%>Dp4`(`Sin+h-)CxyIZ&+a>CC=GIruIXc51_c}5s4|Zx|hbr|7+S>0CGUyL` zEB4@pq$XX}`ax~>^Gs0hc9xT!3uUPu>S>f-xOG46V$V`9-ujJ$*wp`G>i>_d_l#%z z|K7)=R!h+qMUk|n6m3zpNtBkV5iPAPTGZZJJF#kST583ps=cdb>{+#E5yYN}8Ii~@ z@6Y$~zxBVH8_!3Q*XumbIoG+a>+IwPK7kc27yudfUZ+p$r+nisDb3<@5peCL=zC-` zhfLnfuPboqs<2}ZkQP5EHI+Ab^~vtNKYlqsgPl_UCtat|@rK?oaOMXvo4vI`-cWdBROh?r`+f{$StER;Bm9%5Mx5jhN z;!!%?0JNb%vW;A7%nUijED*gLO5)aUxq9!vQolEe77>F3t*4|XGpubqdWI4)GGQ?v zO{;ypvpDv`{v-WUYvd8Fqbg9Nbh2+%5;MGpT%SBHRX0=HiUB#4MXQl5XKbGqaby)Z zeX#ON)FreU%CSr}c%;!Re~e4gk{z9J(#YFi(fBO5dX{=1IpgN`Jv+QCf2rbabGo=L zZtkcmlY%syuf8)jq{6jP5}Pm}^E<0S=@VMj-@&)49KYCr)CfcjX0bl{U^?NE@1J_P zv;5~V zfBuzVl>$X{pT^{Y-}zH2eLC_#`#XC72E(%4{|c5U=JF2cxQ^&a?L|mPZ=vlG&#mTg=6tddAaaC}74ew{T{_uyyvEiXW79nNLBw#1O*4 zzS-7R-C--u;4c4Q=#RoYgE;dgXR+a1EIt8QmHyp5nCosgHb2ai;@|6Sro&?IN;q+j zF8kOLg}qCSR7AyaU+F4JwE;q9tk+oLlBeb`3|vcoU0R{)%(LOax=mN4R%J7jtmMji1;vGkcf%{9QgDeU~IN^RdI{E-GU&Y$vE+ffn z0RNn(q?M=fyV09cAulUohE84w-<^E1{C!P6vS-&Fxi4ok-MtuvL3I3J*_W10wXX&% z+lW~GaJzx11BC4R9KY|g=MfE+g#IkQ`&#f@sU6P5E_bkz2Vu&EY%f02`t~|p^4`p0 zY0rbZ^X9n!F}lKhs5G2_3T=kK4fkg9yM%g*eEu*OqFa}${Np{$k^3s=o#q{NpUCi7 zkTVsGKHxPnutDK+99+&h0q zR63Qoo-ax%D-LqD|2~0sjiIr^3HR1(hB7Xa@7or5Vrt*t%mSVmGi$v9XwD34n9kzx ze(L@0qfAz2MO5GH$?4zotOv0vl=ug1#9M3UQ2k^KOO!RbipXC?uM=nzMX2(9&W@2x@_fQvkmI7ho`Qoe;v=h$z}mrZw-i z8hNxsDB5v-v>AU^?lC)ggaMh985m_>X3f4IFdTq4lrUvp3cGT3l#ZWzF+%#)fzr{L ztG5;@#UbQlhs9H#6PIz>IyNu2w@DhgS<(Zn`}DK|pE7HB% ziDr?Hzpe0uw7T*k;D?0D&l0tRUb6>vUXy_A8Y>w~z()SZYZgdaF?c{R^Yn-O)Vd57 zXv1P`#mBFpW!aRI_->z}hx)>6>;|cEV8Fm*Bz~ldEqMJf{CGjsQ&Brk0RY%~#<#dX zB74kBabzRB{4|**YV)UZO6t}h>YrnWR6S(}kFQ?lSoXOpwh6Tdd59rC%{zQ{Q(S3+ zC;xqS{IP$PDMdm~?Zfc=4En;?wRX~CyF3Q<3gqCgGc^o+``11!^P@X1L?Pf;et}=u zm=wY7cT<(}811Jf7*I(~nHrES98$$XrT5dl_v5W32qX3!WhZhJyt7n!1rXEw?&9hy zm4~4J)wX*2c9G*DJByjO6SIU~2NhFaB`-*KQc)iP!{Z(fw#kkw5x3sTyS&Zb5(`%H zN_R+N$^Ky{;=aC}LZKgi8Y=4r$REgym|McT_KCJKNM@X&L?<8wul&y^_?@(b6mpAtElmySJH{eRO> zbG!%hcm@}j zA9rY<+!cV+*|ZWoLjF&-X6tP*$F$x5WbQxSpXLYCi0!~R^rLSd4g&(tAKeEVj8q0C zmIM#`K8jmxh-L$BUD2oMapjFHVYP1%NLY-PyIQ5tmVe*Ya_%^rfiwEA&wtoF#CHH5 z8+(x|jGHs1<`}AdQvVwioGMKK4KXRtzl|FGzJBP<8UGP8#0qH_r^=#MY92xqdo*M8 zZ|+>;#{6SP-*BSdaddgJ_a9-=I^fS3`%&tnpNH;xed10+*&J|}~nC9|&{1~4$4Z^ZP3yZ`~^j1Tiql47mdq1%S$J}t`r zJJa9Y3ls76@7}<)pux%Vvqw%G8RxSy(i$)988hvj!;Uv7a_}}qpm^B`&_mm%BkQGN zzSlZ;?|*y-$l<`u*0@fr!pmtPKK^eXuMAZY=w-yU)o88@9UPmy%(UDGs8cm#qD^dN z87|LYl9U~^=5d_nu`wOV)c-<8iGS6@J-uGu{H3At^0ok7DRaI@zo`ZkVgVLWv1F;Q z0~LaO-hK|#>91dY{i$S3ANNL+WOEm6TSW07#MvC{irUlh6xU}##&5c-ttA197=C^f zoIx%>!QBOaGhB)5co1e!-+#Li{yyuqS4d~ueYnlF^}g}YND&jV1>qXBiY-~D>L<}a zy=SE5vKFM{i@jm7%9iU>zST#AXAdD9zmL~jD8_l7h7w9hrys>T`kxxa*M-H_N^h~v z*C|}CBl)zj#JjJjZ8`K$wmEe5ybmaeUk_=Yo9V32DnvR{MD-H~6~7~6cSfyOsui>q zj=vkNoqx%6(yZSd`TW0wgR$!JNEgNRlV_`e)S-({w37{^)8e>V6Fs6iSriXkxuji( z>*!KluDsuT=}3%{U+Rb6rO+<5Rd=n#I9nX4vJ{Zbs)`z;J>OVE(!25EdUU-5P8sYMAFj%FeU! z;wrPCBtz(#oTK&c1O;#Db1-HhC;Zh;2fWbXw`U zLmw+XTH`lSYK=G@Fdi9r`!!7YF=c;h=1ELrWIA^4dr&{483Vg_M!efs!00S1zmJ?A z;a21?4j1O3Pd`j!8^J&ZL!buGf0AX6C9^b%^ef{AAn`~^_}Eoxp0~|P?u)$`&P-6> z_;m`7mtJ9GcC+JvQp{+2K^5LCP*GWA>j&K5q+;U<;HL8F`z~lXM)N69yFo_@?Mo#P zb;O#b{yV}A#@_99i>5glF#NBq&Sd6o)l(0aMGB>ZDpxsRaQcGx?v6X}f;!6|!0`T+ zIc(wuC{3V-N}JQk-dzp1o%DNtyJjyHfFb5dVE zfBh_Po-NTARW7ELb*=MJ^-fae=WTXz7jHLV(0|(qdMsJX~pj z6VPB{(RCITLkldY=E?-c3U*1*+Wbs0jyuH}TiOFcnUX!cGRJBuvuXte^Gm(bBZ|ug z!B;6rb7a^kKttS%$wyD=Z;~Wp@1_lZHw*)C`Qld5SWqd!bl_{&=!N^_?QTDI#})@a zo&e32KHTTR06bOS;om=1FA19ATfl4fSF#G8 z?}zigjg>v#hCsf1!=0xeOZ9Me&%Ne;AM>h(3ZNqwhx=j~vmWrl?`tC<`%mTX6X9yX znS8kxEwJXIutN;IVpp`Zr~s|Bu6{%fV1uSUr7UZy-nkeamp!5*dkfn-1}@u5coeRc zC}Kn5;|MdFY`PVMhAYoM>iZU6W0`W+%t>DnZF7}C>P7kIC!ER09I9&f@=FXNzOsxS zUo|dJ2`Ix_`if2o$u=tnR7su;dRCUD+?sG@dlFEdpxDbBra#vx*`tRjgnb$KZD@A* zoRK}xp{gzrI1%3&&m!e;-5EBbo7c9xP`#1NEf6yp_LanV#jU^AotIt|5 zqgwrRYLEdf0pnDw;`=;hWyu6gyt^Q%YS@{;bvuTqERikCtn`fMUx|Kf5M%2b8=%V` z(#h+)FoKh0^6@~S>*hX8YSMz8J)}8Pp#0FQqckq6hrVT=Zr}@02|DhbE5b`S3kTo# zS!EnkQ_>62-`0I|p?K*>dDEOiSHX%FTcl&{$BSI@;6?1S?(~B@|4MnR5QczZG^5GX zTZ)~SpC<4=)wge0H@^~xVAkS!d7zRpfi-X8#v|WWi+fY{sPTG|a^O~>r-eUT zo7B=ZpgJy*;rAyle-}F3yY_>Ig%04OR=yQU$`+dwcFav9UZXuq2zRlk+k*kgA^2-M z)9%j2M>9K6tp&|9Y{nHTnkKxpgIde^o>)`NUx+J;{~+eT5zX8))bAD7D_^;gn(4x$wX zL=Bqu2Q}CjMYHQpzQGZ@d|mn;rUMG)+vPlJf)9+%*vco=XuNhlgFP2^-{o0V9b^j+ zEhx{F0n76vvV;~YPu_R=dJJ|=gYsG4`xN%0xxqEbN5=Wp3ODESrHrSNGo6B1#shlV z#Q&!!F#O>6oo4dbgWT)?@UcX719~^JVDH_s>wL~%LYA~?l$}&h?frGq!V&9eNdd(V zzi#dzda=y?LpoGk&F+xSP*-4(??YT{X170Qv@cK`CZjJ{#?wo%FngW~Ukpy@>9YMF zH1Q@#0t(igP_UaGm0No$RrGKyhN1Q5HEO=Ji%skX+1mQhJdG z$H;VjW%6JF--S1gyIck8|Czrz}0y3tDh6@Aa5~KZB zA?CKG$@P%xwNXWLG28%GPoeQ;O6sZCTq;19d{MJ8;Isc-xp%gNJ`#- z(Z?Z- zy67F~!}9)33ZkIm?NRgA;y+gatP!r7lyi)U{a-$pdN#29X!7ZQ#yYBdzoZ*Es(2DA6q>cs`SrSU@19(LlNMY3=!&%GH|rN2Pp z)e@gBHy#{ww9NY?G5(T89kvKYq8Y|L>dofB7a?GkT^ow%0eDwz1WoPoq)-OzE8I?f z|7@Xv!)$-#Q!k=^b!3^}8<3BdFGKkSaF<`NI66efOAC`Uj8gS@G8L~~C;_EJTTDa^ zCXN7YLR~x!?*60!4&g~wJhPk*U|5ZYU>UV{OsnawnT2V=?#f4%P8J3L0w6O+T-d+; z2hr8X=P6f|SkI_TGX;jJZVLh!qI-A^L9UkKU`RYa-xM zM+MvSzdls|C^A!?m`fYkP2VB;iSwfn0I)_t(=dY?LfI=wyfaosO$(O@5B;8(uSg5% z>Ol6SOFcX9v}pYB=9*|==QqmEyp%R}n#-;Bf4}(%`G+gfTBxJqW00b80nrfAic_@D zOSZVb`%S0n-p3Si(JBZO>H2&~;p*JGV4BwgcNP;13+4>Er+VU!PRt_(tBN1HSg3nv znLPjZS2@MLc#9E{>)0Uq$P13ei@7a%8}2HxP}L;(FTdlGXUf_w2O~A-hkR-zFqq$W%r&;Yx&$Gg0qoV;5xggnQdSy3qW&k^cJbvn zcDMbL3e30QS%61&MhdNIYPY3-89k2!@a}mpMl5?C++`SMJg=qKQm`A%y>X8()Y~T?j3nC3HCbbsLf+H2 zV>pK`pM|%IE&b$u{yl^zOw7)vs*Q%xp4xG}PAkOxg|skgiqY-ThTYYz>-r40KSqKQKx+oV7l_odF<}&aNDwsy1Ej z!*GoYgcX%9(wHmR)amNte;4=ep5s+`sJTsPn$v6sUc zu&Qy}mmz%sat?zJ0At6BVil>_PRT}!9a!4WaXNqQPY-ZhyP$X6Q261eb^dr5hBvDn z`G97#oN}kBC}Wf|iC%f?c6-;XoHbZB|C@IRu7l1^D)r)~W2BF9Bga9~2qedw$7)3X z{V(&Ce6S4c2j0)|;)lz@J|c%mzC$uO%yIj3CA&E~ZbIM~U6_QDM7JeoiFTy>+#jw2>Suf3{l<-PtL-QN(O)YHC>G&AIHHDSWw=vr!b;Dt)I;(eYv7DF^tzEZX_x`n%MNzK|Iiz>FR|yJ=!xx-MFN)hX!x2@P zu`gPPPKxVpZdS10o><-O4B+E6*6oiIv&f%ob9##Efl^7;|t81<&$MVw$r+EY;n07(l~Mqu83 z6hByiFoUUXVX##FJ>?@DuVqZhVaLP+{iDy#r&|m4Y;{A!DN6)ar6o*=uC`nz{E}Hs zxuYPAAh_7onL^(}S*h8EI#=_CK2C9PS>;;N@XUzT`qQ%G**sAYO%8AQc_2vMo&}^K z1IW%b>iE($MsPjJj#`eCGK(dmwwv!;V0LezK?SD;Y~53*8;Z+_g0n(Va=cr7%vWSK zQ%m#+n|7o%pRG26Sux)4jNNB#@hrjmqg2en#Xbg2@IkI!0iDKOtW4JIVgmjm4{c}f zmuQ_Iokj|#NETG_oKPQz`X9xsji!M&BX z?!Ur-mQ}JHKeo8Tay1TOVU5*j#XCpqZ$Rl20sQgrnvJCnia3pq?#LRMdkst6m%BX;pj-)PN1oS;iwmMNOVA-#f0NZ4j7;36&4cs&Pjr< z5+T!7tz=8Dqs!gzZ}3IMr%xH*%U@GL!~!ueeyPYYroIr`uSOQ-gypc&kI39H1w*|CBv>xTp#G@w0SVfi^|q*xF!)_f z_+wEo6UJO}q1OsPV(4}RWzCL9o{r*<-YVQLQOvItCUH3m6c>0D0Fyuk9QxUAymT=Y zb3Oy%hW$E&f7S!3EWsU{mC|@wF<0eBZb9;CU(`1D7rhe9EZcgKpPdC4I?3nK_VU`rScCeF9NXJw+cb;bQi_9hGZW-=tx(~)Pl33kdTdU3+BlD-` zB`VjUC6QW2_F72bJB0=G^M7pBw?bz(Z|1a31-!a(RzB8FpI%sTn3_nr1g_xyF1PH{ z=zxEc3O*WHFJsYm!RxTmA#ip4r5I%7hYr3~d-9+2AIOb!<;=AdWWtBQ(DtzQjBEY5 zUFBnR!$YHCgMLbOPo#u2JX7FQ8eN)Hu%|PP$8D1T zq|Y6&5DQQ7i=H>qEnv$9WNTaW9%lvT^JkcR7}{3CIfw(_BCG~nNtHCv9j zvAx%i`ee-QuxlS~f7*&;1QfM{Ak}!=rnV8by1KZ2Xs(HwJ|alTYjGUX2*8sgT4D)ytm zj!_}+p$^Js45ZzT4o{?x-IRc>-;X)|g%uzsSkK%fdH-anaKyWmDH|_@dxrsXpPVyg z7t*(!X_dQ^&TE8D*tJ#JO3PWYm;y#>!_YZn1~U|nUvdq#U>uhSej7I8e9JJ16k0OGupTggoTlA*J`BT+CXtW+$ihl(h@kO8CGnPG%A&3|pz9RR>;8379}ahX^3v16j_@J#@gJxY$XG`4 zi|*Mppx?IKQ)pwS-q2$8)cKP}r@R+Yd7l;=r2=w2k)qQ9U?GLzi(d%b;K@2{YBRDBDs2nF?8f}2F_;&K z^GOLsIC-}7AEmz4JT4)yD-=60NA9Tuo!2jS@uyZsqe| zMqE9B?>m$4BMb!zbnsQ_7B#tMB0psJFP*$pygR~{xv~j55o!f*x#)QEK^&KQFo8Y- zBCfRKYzf!mOa%ij_z16C{~enJ1u>JCkZ|O2+A>GAkwSJ#=0kY<*~cKy4Lu(Q?iVOR zx-gL3r2W&9ntzr1NV8{cKvw&nAUA(Kj2O^DoRrm>ia2>pRIBAmIR6O+ObAWn5mS!3 z!YrUZgIBUY8aZYLq_JuiFlASr+JDS_k{*xJLn&b;8-5_>{`8%}E|{w3y>(9fBf4b- z>s$0;zwn{XNt(6f`;IR@xQnjUKa6?PvfBtBEeK|-^rl+ZEx@48>jt1L&Xc)EHe$dh!v8J4A;t34+VQH@

|iJ)rNwdGr)EOmirSOj@aI>%6ZNkal&y#akd%Z!h9PH=pX zunSE4#rHx6xEAD*#{#Db`j(nTHb$rq( z`SIDCw`IE4UK1Cdl({%QKiRpYvTI-Ol)2E3n83%6*X4lQTMw!im@x|=F;1LfZo~Bi zz8NanVFA(DOnN3USPvw4gNFtrRu0qgkpyHaDRvGISd351$@kpw`x|c>3KfXn$u&2; z`YH>)`XD!_1eR6A#F*dni;b15*+r!}i>5Wk&f1YAUQr*cES(1_$e9xt2lm;#X>q1N z^~f!^j11l7%FB=Wh5XVRZ?du2qN$s&8EW$xAD=en{wJ`EcLpk)nsQzwbcYS z`Gd1Uxu1V+O&I5g%~#~+ly9P;rmZu+8N?k8GcAjx>r1RXidKDjVTGVLT0Jn;=%&b4 z;Rg2DM0S{X%2U^#WXLMY%5+<^EuvA1%GkN&g*j1>MX_d^W76@)P`%T0883Go2a({ALKF?KFD>=KXUSYGYYJ3Q7Tk1Ni}n_TnL=PkP}eZH%SJ7V22 zNmh?T@7kRtc?vyJuFI61o{T@EJ6rOw6X){5n9c#d;0Ek*S7H2tlnGpED3z&Cv;vSa zF%Afdu{fd=#`T$~KS;8SP>%}g=rPh(qP!r9DH^uY8h5@~kzlghqids+!c%8YwPtRg zpBPMh53UQm?!}(WIA2w`YGpXMVoJCwB|bBDQB<7UXm}4v=IzL^PMtF~nB=H+N83#a z)$d57Y|nX>TZ*nWBxEG|@?BYpj>LtRrdlofq=r;Wd8SR0(sQyC60&pBCCQOlX-REJ z(p#*)-3yQ~%bk~!kQr~dvUqFdWm_=^&YauN$6lVGU&EvSYZy4!f`Oz{;h+$3V9B;B zaIj;o02H~N=!ESD}J8h-5^cocoYSL{%o5NvbyP58+$p9d*FRvk~X$=Ub z2Ipk}2>f&XbGS231p}FPi6cOn+?AjyX?&<~CXM`ez-!(c^n%-K7h6Hs)HHe)q>mS?`Y}S4F6yJZNv{ z{?h5q!P@gT)#`PHs~cwK7U`ouDNLH`&)28CXumgfp)=WFNSN)*w59lQ;%<@eNHWB( z;4HB)EeiZSeHrV6mm!lQtzc&11LE9u=UrX1aMP?*^-M*vpV|PLc`fWelWZH9{J`%M zerZ`{23RdQ^CPZ4aQlQG&?DU6o%IWH$X3#vA(W62?Na2jp^HF=uF6HqmHu?hmG#yG z`BM*eOqoC5?w{kg&zn`-ad1+}gKuTIj(s9YpMF3I3a1?EsGAAop5<3l9GX)2z?+#d zNRfO{{>!0F?;Kpc`rtd84l&!onPdH9{rnpK!?DR@lcgVy>BxTpA1z3+&zo7_acD}> zgKuYgKKfj*|Ma*k`|StwY7TWyn=#*>3&|$?{F!x~hbaXr|C3(-$p^0Nw;n8-a=5c< z{yck1;SuJ5q2+fsZ+e$3HamFo7?&?%+qlfOefbl1lTgOs9qiBK}bP zSV!N%Eo;293od`*1>x8KkdwXXWuZBXda7=zaJ%IXKYCJFdh$1!Mt*y1V_f6{$v@*z z-^sD2{Vr+7ijV`Y20{@JRSICq&Z6Yl^wHK%S;Vm{VXvZ4>(mBX$~nkA!t_dmJi_9%^0c(_i*qJt=OiWP z+?zc)Cnq^6=Q}yLPaeN9>tgwx`_Fsx>V+|#7jI6UQl9K9!>`YmT%K5B8@Tw&8Bxhi z;p54R9^BjCYLgqPTdJqFP30rAztuAL>ayZh?V%MJ5PlVBFJa!g$(8b_tHeopS^;G! zq^Nvl&&D<3;D%|wtQE757RN>x)b!L&^0>U*EtunDoy)$wG(BO`vPBh=)dq0!I}c{Z zr5BW~6n|e?R8(2?)#AbAyu9SWkZxNYBoUo{l-2Ltox2TJG9myfNxy{BQ);oi>mE`510-d+FPV88sw+UkSx zY%s4{&0kks-^g4k>kNfQ2g^GvF1zW%#X%hGK+&Mk@9w`utges@Qk28R^sz9avHSDn zlE#U9_&CUpkd#0$3$77pXRdG+A+HS>aAHI;VM6I}830cLF{KlU3}L@sKJW|c1&ytj zU*5WAa%a!}Bgc*%x$P%xMQ?8({;}wDNC>_uHRX~yE3SI}s!5SHlCOAu6Q%288_%T< z&>TfyjLy=t@Bnotz!;F60oD&mrd&BL(<{=?pc4Rg1Y{n)uH-wn&Xhk~a_cKcrp_6C zWOUBdr>}2qwLce}yWFzd9q)&}>f^=s;G|;tJJRyFf%;XWqpRu%;_CAqJSUoyvllx1 zUH}AA53Fm5s9PM$y8v{hG1t?dc1>}O1U%O@ z`h1N(y~$h=A4o6sT(IawV+E^xz*Cty$FjQi(2bJMnqZGHvYerTc|{fdQL{pBABPLm z`V_+@>((5s?YLt_#m^EG@^ayI-(yx(4*81yDu%FC@$8S$Z%8YhNJ zp`~;R4$V~dPG`0O5dH>X04mvw4)m}Lj1BP$Kwj7dAV=`I{a_A|5QCH~2C4)D)EmBn z%7evN71PkL^|n5#skpJSF|bBy8&r!3Er2im7X|g ziAS7ZSqK+sje&V{XU$zuyigcCSx8FM!s`x`p)9I0v}Q}AI3qPPGp#{t+_ENA8C7O5 zjotZ!DaJTU5QW~gK%lp&GlZSPC@W}*Gfw$|adKLL$5Z5+O6vvj-PCU_fxmO?zyV75 z8XTSrd1O{!wPc}r1WXntL63%)Wq{-1io(Zc7E&ro4K!}h1ZXDk*sy~@e<2g~7_2r) z&t@3~bKV^nidnhyXJs;$Icr|NU)p>}78;vrOt7qdLz;_UBRLp!(2j`r}o`(yqxwEOv*>ejs@{S*0p2Pb~@x^Hu zH48pp!0Qd9rig1UN>=(tG|jw4tV&5sOQ{l{&o>HVe&NWX@>##-waMw}$+i6U!zBT$ z;p9594|3nhbxNlnDfbVuW+^$nBsR7rJvrmvM-~#e;M_O{Jh?vtuZ+tb#p{w`2gr}T zXh63STn#UnT$x!C^9ork6B>4Sb`wJ$FeC|?tPIxED7q{QNAi%vD0A>E16flmB8hfr zD)>WLegPte{;ct9Sthtuo*0*+=pExF8yjV$%Sxs;Xd{cvY}QL@?|@MdZGj5yrymyo z4MgM=JJ>Q;H1Q7DE||B(Fg6u#apjN2cE@k|*avLHC9e=}a3AMa0Ho1%B?H(n@7TO|ErL3%|m{Y~T!xA+4+ zd+Sec%BAoA?QOR6O*Z|fW5?fOFvE6B<7e}k!z2V7^!(6^>}U6#c<2wee$F>M%O1bw zGKiT=^{mMt6|@=I>tls>ga$z-7bssm@rlIo6pf7EF({ zRm^N|<~R0ScU@2Sb=S%BkJ_V;QFaO0p(3RSeUEBa?L0yGMiV67R^ZeRI|1d44$B%a zmPiy9Ed-#WCc*z)pbEB)=qu0q7VWFFq!Yh9=3JS2QB*&zxNv5X&uN%nJ9e~oKC}iF zgd{^CrXVTDpOaJ&6W|ZIZ0l$ijbG2|1)J*>^ng!P(|ZxKSvVh`+Ko?^A4{7ubH$vT zx{i*z;#KSC2E`PM*MxswO9~S)?G-o8>UCnTP+^1?NR=2@%})+=u1CQyPX$d<1Kq+A z%vs`_k3#@g0Dx=aWuOH7=&5nj+~KJI;aOdBkq8SjGNqmgjW4?p6wyWJG*;+~6Y_I& zbMq65^%add(X*g29bUBK`#W}gUrd`QN+07Gd(jaSu_U1x;E<0H zEa(9dY{_VMYlWETaGOkSN1|BK+C932Po=_l$iJ;7aH9*0Mwu}Vx-iR`*m(q*>n6aY z3Z+oO14HrD=-2vh2YOHi5-^!cm8Gr>YIa=PT`1%{fNk6!M@R#{fA#FbPKml)6~P20 z1`0*f8q`8xKe-Wgv%<12JnQQnyXU{?Qb5p`3iPpcN(X5cJ;>$v=-S#Z(JNZ_zB#(& zYdy@KRJwO;-RX|}^mOn3?R4D907142$qzqz zTB}j9g!`i#Uv|z~v}l&|IamZg&|n@y+5C0C-@AF;Dly%K3Yn4d|@i} zw0S@>)vg&21d}bg6rRfie$4_Ve@V5ydj;9v-77!*8A=y>_n#4K++X|ocGk1~^SiVL z>vbec`N;R6hI!SMe`d3l>?fwb{MAjWtflFCm> zqdjdEvu9U88A1W&6Gxw%8{gnN#=VHsa?*bB4?V>_AimbaQ4Kn53gAksICqyTN5su zJD1&}$mz((kWj;@r>z00&nlWd6UqA4QPPQ1{onQD=~bGSDuBTM6;91O2d7F3(W2s9 zLYn8|T-Uz|(uGlC$j(HT1b)7sgrKj;IXEZj>WT+fM&LD1J_OR4Ls*l*q z(0*St?x?Cn66Xlq2=RBXfAIcmuf0F3!jl#b&CDrGE$O=Fk~`|^*v=7bS7u(Zditi- zwW-ZL2jmZbwQJY=ENTCiKfZAN(wlb|t*M++%RhlqRfYV#{G9wl`NvUtlN<7qoXx9x zBKzeX35|WLYW%Zc^=lYDzVEu5<-IgK1gx>U`KST(A29 z7zKa>5}U&3kmea3T`C7PP8?q(!vL&C%aPcrM^Mg1kzT=ZU_koGHY{==3Tvr$@}meu z(76{7H1?;&I71DJEHUJbY5U7kF&c?($w^%6EDR3)04!Cc>mjVaVxT%7K77Y zh?pqBk>{-y%(hC8Bnm!1{Hf0!vV!feb#LkwVyxaMx5<@y*LL}%dvho98^~G} zG!Mgm12%DxTp%-y23ElgP>F!e<8u@r#M`blW%*7XNs4jC{))30i@_o{144R^Rr8*2 z&`0p*=TzY~ufG2^DI z;q(2Q)BlV7uRm}~M}+kHr>C!dWnn&ErK*Cu zE0x>r%5_Y=!9E*3GS~n^U_5eSLiybZxnwPulF6?oQ?HO%i>G#=8S&=)RljeYeqj9x z@a&1IUpOl(sV3iSmhVvVt^C?Gs8pfKH-G)@yI)IBZS@Byro?W5#*eMGzbgOS`0-~wIj{%qH??L=S2NXR ztHxf1SHsRpw0yA>v zFz!3P#c0_0114N`D=T_$``GdAPi)`*1iPhsjS;ks*I=%!9eIAkj-xhnU5(igD{-f> zshbOzynpf4|Gb7RU)uk6%gU84Z}%;`lj%N}&tEE7O~uhZ@RAp>z+(@yf;-KIp8I}x z!DI5P^955(tf|OqvWk_zW+iuA#iVDpn#>zsli$mvI=7$FZGCgP-e?YHo6X_93;UmF zwmN>eWA&Yr&E}k-$*7<8?giVAU#2(g{Ie=s13AS}aA?3%B=_Db)9(y}j{!}bz<8*~ zJ?g%B6!NI+Chq$f<~O#PjBK3i&fUL_9~G&2j~%7mH(fB+3jam%K`7{~!1cNu7L~(+ zy=h;dw&bj>vBtMm9KnNrBUkX)?+a+$*pYEY0AHsXIp-+-6y9(hF$h$CqJVmdLqK&a zaz)CwldWB7-owEOwgIH1fMZBlS);Sa6aa|k1qDt}&g~oVTYJssk3Tk>_X4fr9*@9T z&wOZNx4r$Zl4;pQ*Tg=hzCoX2Y{;`c@qPYdySUmWO6x80W2*PAyVU04t~7VT^GVy+ zhnU@kPx*$lr}N4$i@LL5fcjI#@d_-FBkZq{^@S`jHYmR$t@{QVp0)EJjtpP>CVHKC zwK@aG`T{8vN%%r}=W%B$ z(_Hb|gBcG?AUFkN5Y~VkE(GrtKO*q7;wN+fJOUo29}*gAigXo;osss59xv!U`MCtT z0Y-7tL3UXoH<G9z{;ZqrR6sUVoNd1cHI&I+7p&q;$?!N3uAwtrmOGDX%no4MwBE zYcw26x2D_tR;zm3LQw{z$I14jT^sfninHcc`?<&9(%S_|Fgz!CeQEma<*PGWbp4^j|Y{)20DOhSxob0p(vRs8Wo6THMV&gai%S?{*q({Z?zGt@82bgi}jd`<0OI%h}?mLwImJ5vIN5RxqA_FrH zs@2572~8G=#8x69z5(NV=>~rmtP)1KN?i~;E|k*J)1YM>DD}XM1K28x)-O3(Ze>l-?J=9$=Cy(7F3C?I= zOiomcQC#KDxT_pC^QMT7w4}n6kv>CmQNZ``#3MQW;Ul8Q=rkAw7UD+1DS2AAFt5=8 zA(0!o*B50lJByg6e69S~^~sLO zw|{F_PIhXxNfa*p$t_zOL`Qkrd0#$!O=hMi9nQo;ugPP(9?98#=>=I?S8aao(^>ZT zhF`y0oHk=sMkaa7nFW=1eN=iTkVoP4?m&{jrHbrYIKMKwrruJ`EsJt?C59YnzC*C! zQE}jx$A82GV{%*XJUltl`DgiwiySp_^I88y9q~t86c=iP4J! zOUleNTViVGPR`iymr8w3ZGBv<)8vY4j&06#i|cM)Q)97u{jKbLX4*CPHTjQ2sg`&c zEnW%xe1QwPR>j9#8~m4DwLLeN$2j6+6B4ZEl*vZl{wrR(WvDeV%`t1Tf8LPXfbq*b zW!1kU{S_xw#h^f!DHf-&ED-(&wMYUV2B-?j z6~eSPWM;Y7&#Oer#)Pmg3sa{oS+olnaA``?^re-%BGFb@dQ7QI$e5a!8S92~PqrcW z%%9*w@2k%r?vR+n>=#QrVX2g@V=IT<{4WbG{r+p;zjT3mV*@q6gZa~+$nVMWBaO)= z(wr-w`rxy_AAe~0qngDl_DX%?Ehd@uOH~qD* zwHg;Z@OSyv7j9++e|`O1ksR-mTZaNy$`}2WEw7hQ^6Gt0{p{86?_I%@+xEVSsR4Ns z&@>7TC3|*7(9tHD?tbWIUj@DF`(gVBa;IdW66dL8xw72&(=`%gnh zzCs1%*%DQD!bmw$!sq|PoyLagim<*d!1{JI(VBo(P%#kG@j!@A$c(}>yt)?AcAAc2 z@J=zY5+y+c4O{4OQ9sO*D%dbC07Zs_2{OW>#H3(>#ID;VMJbP904q|7Nu-?yyrbMn~K9OnSo4Fk@c z)L8C(P5yJcZF;~~_JlV8LqFap?nsI^<-%FC;u!KJ(Ug!T#wSog@j;JP4s(1%Im~fR zISKJ%T7pTGUs8NphLdtl@$8n=Zd<7rjaq-iUuw=|`8UZgd>Wmb;xa~$zD2TtZ;eJ9 zT`9TIpR$UZaXdqZN7Igq5s^!a3Kj~lCj;(!JkeM~M1#cqv_}Ts%8;Hh zH12(EWcaYY~)7fzL!mxZ`r)XYE+ zt0PLtbgAx?I7Pm7M1JY^N97k^h`WTX8fIm;KgP;mi1REbqDk8un00no0QaC}BysLa zx3F|qR+-lT;-vs4*|IY6gBc`0&i*HwK019KPci|*!?%>)e^1Fn^I|@ak*BfZi{;nY zyPtP_#j9P|C%d zIzDS(x!~yqYn5Ecf2Jh9=^Lm*>{(AS!%FC^F4wi_dSGSZB6y*CRQIgzW!*cvk942n z8zGA2hoCFA71%OBmJ$;}uWT`($E@x(gc!ZDg-~`0;6^B1i7*L+hrI!1y{AYTqa2d@@6zTCo1Q!H`o@u428IC!p?{x+;^E?Y0l5?UBS4;X7dxD;~Fnwu*TU^wrhboN7w;8N~lBoLGfs-|Qr^6m6 z2+l;l%xXx>v088$i^-UZMLaqhS4nhP%WM4Bgv6RlriFS|_PQ@RG{wp~{yIG%EZUUo zugVZZ>+5|x4?i${#-&@97wLlyF}@Rnc9YvxVpFd7iqUC_a7yKjN)&H{44Es<7~^)Q zj`cVli3wAjPDi+ket?a>MUOv_72z=D&!M?0i14E< znc=Akr;1+YFkp|BV2duyO}yg#tJ$WZ$8Pq0S2##myV-&$Vlc3FA#2Kmc5Q-#L0 z5dz+Ga;S1VUEFbVF#@!6v5 zh!ce$wCeIJWPazJe&>?M~T7=80Km%%z<$p*1`g0SAVL7MV*HckBHJs zx(s}m8rCDeNedfv-)7sjuu&Jww`gIL&drZ#VT&%8Kcj{1y2*k7-b6p-jkmzhX%}o^ zbi&7&51O0JIJbx(G##NnXf$m>H~1emZ8;TqtN9^B958d9Djx*_BnRC2c=rLL}j zV9Q`vN9VAwzIkKBH@&&9ZHq5ZToNwy)%5iElvhK(!N^c#aATwm85+=@KD43+_=!sE z2Spn}bbsG)&8Emue=i;uBBlfKE3@Y{^Evd%Nyq}q^SR(#-++v4WW;ybv|7X-&TfSF~Z~hqFWjn z9O~-t^92jb3X7GG{Lcz+#D_%iDb#h;r4bw)Q78J)4gJcsQ+e}ELq&O7k#4+U?Z~0# zRP)d?btjcIh&tMkzE|nCZp1Ysmg2jxAdDb1UP>Qw(Nil@5796-_C%V8A{eLk$e?ey z-#6SD@tqmkp-Ag6eRz96UgAwV2Fo`**xVNBZ656QH4hIDcD0NsN&5PSyILbd+CUGY z76PVohI(+=cY3V92^Mu{U`eNd>@YyM5+r&NdQSb`=CjHyRK85tIXpZ7y&h^_vkFUv zUH$(}2}KwwwO9I-(JDgbZz{8>2Orrt6v2Ci#-ZE4`p2Kc8wN^9z$xJ#-EN#QU9GzY zwu1KRu406);cgXD1+m@36aLx@U1YH&13UfBU`{0vPIbGEn!R9GPWFkVOFwLY&BcM z*0Lt-|C(6~@Y!cN8*624EW+AZ2kT^AY(47+^Q{;9l>KagZGa7wAvO$?up8MXcq8A! zwzBiEF}?ueliS!RyNF%PwzEs%c5o-#1xb?2pt`z;UCypxSF)?v)$AI!mtD*DvHk1- z`xcC{UC(Y{H^N8IL0ITM%#N^|*|*s(>{fOgyPe$uPgi%byV*VLUUnb*4!fUymp#B9 zWDl{2+4tBZ>{0d@+^s&ro@C!=PqC-j57<#y<9wDq$9~9u#GYp_uou~n*-Pvv@Id`C zdxgCUBf39hud|=CH`tr(E%r8hhy8-R%id$ZWWQqXvtP4g>;rb3eaJpyzkxN?-@$Xy z$LtU6kL*wE6ZR?ljD61j%)VfMVSix4=7)jl*ytck(D6&0XBhW4MQVc`T3P@jQVi@+1y^3#>Y)@-&{#GdL_q z@GPFqb9gS#c`5L~KH}Q46nYZv( z-o_)m9ZCR% zG2hNF;XC+FzKdVVFXOxU9)3B$f?vt6;#WgcbuYh`@8kRV0sbw19lsuQ|Bd`6evlvH zhxrkHGygWfh2P3=F#jHZgg?q3=tm{3-r4{{cVBpW)B)=lBo#kNETa1^y!cF@K5wg#VPk%wOTJ^4Iv!`0M=V{0;sl ze~Z7(-{HUD@ACKfFZr+d`~27Z82^AD=O6Nq_;2`c`S1Ae`N#YZ{Ez%k{1g5u|BQdm z|IEMOf8l@Sf8&4W|KR`RU-GZ`34W48H>a)ewVPskSv z1n}a7VxdF`2&F<07AV6)nNTiN2$jMlVX`nqs1l|M)k2L>E7S?~!Ze{lm@do^W(u=} z*}@!Qt}suSFEk1ZgoVN)VX?48SSlMn~gl3^dXcgLoh|n%{ z2%SQguwLjEdW2q~Pv{p0gbl)=FeD5MBf>^uldxIXB5W1T6V4YdfD*|zVN|$CxLDXO zTq5icb_%a^VW$O5rNuYT+7TuW+rfPuMRU5WXc`CtNSwAlxY2BpehD z35SIv!p*|Bg2=@!$6&}#-lRA2uhlZryk)f_u z{ZOQNu(i_|>Dw6T=^uzlop>G=hlZO6&2(vs^bQPf5l29^i0xfHy~g3rCQu+95kA~$ zpm5jFFz@fy4@P?XH%1Iw`}=#Fy84XDy?8^<5?BLfsCb@jFMZ?+8dG;e8Y?HX+DiJ;Db zNb|4(OEsvfP9rr%DX^!%wOefOY3?xNW7-Bf`}-n8=8gS5BfXI(w8x?asREN09vRSY z7;Notix^ta9k>g_%^f0sLt;yRf47k?w8BdRgI#^Y`qt*&$Y8Tb%PZdZwCTHso3RjD zh9jGYn>r&z1)7!crmnW(PBY$h^fmQF+J~)b5KHE8WYD5MD3qa14X+;=8t!V}BGR{5 zy87CXPR*xW!>{q|sHvXV|f@z>l%BMx zL8TQ&H9Rt4Rs#w|C|yKwgysx&ZH+XwkM#6dweV1Hb5D;mvbnXVxwrXrv&4?B_F)l( zV>{-^V8j^N0zkuPm?+TN(?1lkqQCmO`Z|=hOX$zOh_SV~C(_r}Jg6VUR-wPw(AwYI zi}BX?Hh1(zhRx&sH8OCzAE|u+_u);E$gmBcJ}^Ku?5h8&g&CfB0W8p zR_fMvbnI}%+=*dqQlVQ3(tI~4p^*WTa;FZ7Qh~GS3`9ns6{8g3I4f#o;OtCP3~+dV zOGLkE5Ocm$8g3ry9?}D&qR&h%gI$sKR%~L-1i9)wkvazZM+Sga`nn|mS5 z$Z!*VDdq_UF-g?`b*n`UDt(1{1I*qxBo6ft0@QF(vKf>RCeQfFMj(PULWMOE?d}J_ zbO8R_uq3tgV~i~tI8#dNIB3%Y;rL;|>o9hC14cmlAjZBK7!f$n4BXxcq&d>lVgz2m zICn(sN*625pry;IKB|yvpry2_x6OjQ!=3#@==_LrXrybHM$AY+MK$VMu~0=KSYi5s zm1(6^mJ|AfmXWR=%$5!#G7r$YV`}b2?ah6y5q)o@t-EX3(oRi6E$bs_dIal0r_%3Y zdvSXts;z$n1J#6f;!2$veO8PLe`iGj{?2-)Q8Ay%Z&8CvMxz=gjH;ARNeyk0p>8Z2 z`kv+ix+#D%Z0+rDq3=>=qg8`<1>VdXM*4@ z*#IiVra)PRWx~p085+Ti#PsbN09cQ-s39aPFSQPgY~4zI*A;1vU;(89iOR8`2@;{B zAL{Ii^t9Q>7aFxSQM5!g0lfl-M!JSN(W8Svb`e^5Hn+9`L20YDf&ml&IV(m5kh7u) zK~2o0AgIpa-ky-yIy6+O2W$dmnpLby9jRc^A*_xrzrj<OOZWXSXNDEchhc(j6pqt1Gw_b9G3NSBax3s%#S zmWaBvX%FIN46}(YO7!V8)R~4hzzv9MpmY#`n|t-`plQ1Yh32+CvAv|M z#NN_1+ycZ7Y^)9gFk#Q2Wmvf>QI4K|RCI=zvQ2m%8JPH%;L17Stvbawfz0jSG-SXu z9qjLFlQ1zxHlvwcEwr`_b#EEKqSik$IJ98|ivq|2fJ(o<9cZ~HBGQEx@ZqijVQ7Sg zHXJt4=B8_7L}(f5;2XQ8O_8paerz22@P`Ct0lV_;m<}rDrnq2?`T^r>aF0rY)2pz( ztsnG&vi;CHzpUK45u`Y%Ql(8uRbFgUS2iW0sh^?(bSb3^ja7MwE@8Tq(WRU&6^4<% zu7;ADV)S)$31TWJQ$;B~Ql<*ZR6&_4C{qPxs;Cf~g2hUX778Ipuo%?@i-T%uwJ0c9 zj7-5|WC|7|Q?Qsal@!y3-j-0N63SG9YJw%GCRjo_N+?GOI4p?)>g>sZ?&8yc6tS?auu2)h})>5rX_)S#0r9Q0P zsqi3`5u{p!RBMoG4Jt1vYf#HNjVcaN#UUy-M43XADMXnfL=X`ohzJoxgo-PqjS=8d1PLTUR91*UB19k&B9I6XNQ4L^ zLIe__5~?IXl>{gU0Yiv@Aw<9sB47v+FoXygLIeyU0)`L)Lx_MOM8FUtU#BTP9k=(tdha0PlBIdGvI7<7av2Mv0N z20es9$AxmxpoeJCLp10i8uSnidWZ%+M1vlpK@ZWOhiK44H0U83^biethz31GgC3$m z4`I-8p&Wz>LWBuIzy$4qvWPN20_EzA3Q$d98u~B|eOSW>fpT>^1*pC-0YI1lAWSGB zOt2KD@ekAZhiUx7H2z^4|1gbzn8rU$;~%E+57YREY5c=9{$U#bFpYnh#y?EsAExmS z)A)x2>a+~hXf3Q!=X{_hptiiGRJ*GaE>NR2wML!!ftoVyeYtiYFRw;>uGQ{!+Pz-8 zPgC!;TD`Sey|r4swOYNkTD`Sey|r4swOYNkTD`Sey|r4swOYNkTD`Sey|r4s8qy5Z zY4z4=_10?v$(?k d0mRO}xo^G_%I z2O^L=ATW7lM&^H<^*^2eAN0eSJq3(x4DA1L)&F4euaO6sK5joV1E+r+DAqq4sQ>Wu z0|aVj?P25hA?l{GgpFa`oP%>HM?@(=7t5y$lA|Hyyb+&}%lcF7Py zVOq>>oZbI%cmJ;c1Ox&!PmnY&6cmq2?4Nt?RBbj#@*S#u% z($dm;AKJG3Yv)w@yrS19dscW!&dp@T$utcaiktwRu?l%Fgn7##v*Q%&IaI$|O!P}5 zE!tXI-Ss#N&%~+2xwep6)=D=@bER^nrNZX=A{Jq3H3E=sm}xcLG|pUA-88}8wRPyv zPnoSTxscjcm{McuVx_s+*=h#*Xv3UB1T}&E{uxPi!CD1QZy{>6F_-GvT;_v+@h3%S z3~p6JKLUMaO+O0%W$iTHs4{|UN^?L;ts#@G+64bnV>gujTO1A$SfkJKhUN{&{#iBu zbrz-NBAI4CWjjIN*&fwVu4RubbB`IvgcJ!WV;{$}bpWy2K1lw(2Xe|eWcN9U#V^J= z0v&sgD$Y5Kh^J4utKJ8w`)YkScnEwZDG=2~oYvdtqau)|6HAhwqW$r>MKydMdi-xf z|IPEi=Mls`ySoS4Uu8Lk>GP(?uENKw#l^+NO;vrl>caNS*3!n4J~PMG6%1?`Lo`8D zP!I`IikK!Gm+D~0Tx5dT2;-4lEPJvvNz@Roxn4bK2&F(-3ukKoTzvdLw9r!ZsOd)GFakMtPqh`I$P>j#E63N~^t! z8t)N`OP-Ey8cNVPKsgcS6B*&w9LA&4rPERq64J$9K^)cnN)EQxZgj#nJKXDP(AwtHNPvj4d!y|3WE|h>aXutjp#eR1Va1(D~!1cD@#G$XK@| z8ScdxW>*_WC0A}fCWQ_Gk+039h^tbyU`-AaRQXE3C@|xuc#bIvB-u`7jVA9qExYjR z=L}OyA;5`@PuJUM+d|rr+H3CQORerU?U9!{Bot;XUqe}i%R=!=DIcZf5IBHt${UX7 z$u&nXerDE=@3Wd|0@Hz$q*rpVDJ+Wsi!-OJ!$UKaeXQAz3oz@z3unQS7l<)x)linz zAH493JdOfC{BNrjX7CVfZBLDtgiqO>03bm9Y%opN;dZI*d!CgC7s1So zx$n!T6vhxG4g7BozT_i+(EXciSh1 z*WKx5dLayUw$Hadz3+<5D}%BZCKe`cE4yNK&2O zC_2B@YGbYTJ=@>6O14_I7;gA)sBiMPW}zMqr`$mljy|@#K)X4 zywlOE7bt(D_<9aY(j=81rYh}wpQBZ2>BFX$_0y{XD7Q1jV-(PFSPU`4DYgBSjuXGW zB&TypZ4-Ia;ZDv{*YiZ4BK%bLvA^d#3^`kw)^(lO=^V#PS}I{JY8vD2<6?gDUgByH zoos%w5n5SA70~&_wmZ}=sE_CH+$5D%I~M^tEkJ<ZQI7BsvH)rso$j0Tno$9{71< z@V}SCAhApjLIvlX0Pxk%zZqkf%M1LSF2n#NI}?5xPC=! zobSQlu20xcw~DY&-wOel-n@?qJ&by)A02bP=f7VUb$6h9A&zxij{$poi1x&>usk&q z)o~Zd^jeapPeoI1Jmh>Rc-6+ws~2@GiSZz{hBgw^soz#me0J4++L57M=6^+@00R~q za2yth-1NjYw%qz!q2gOQL3>x?qI6L_n5iR9jUE#0ppndAXQSaxXgAAg+?Y2ZVSq`= z9KUjbab4|QH-zBoMtL>BP)ja&OJ4O?2yYF#*>9aH4X@u0(otsJ5@}kXX@!4~Fy4Wh zDN>w`7i{CSlIi9?H2YDBB_h~K`_cJqA-9`a@G}pVc;w6b)PGdJz9MqO5mS;`wb~72i`W#}dhh!aglheCet+(79kLz+P{)7XRuyhb{YxtDFZ#1N?6e^# zh*vvtce7F3I~yiY){1)rPtn#OV%8zxe}b9$IU5=66PVl01yCBSd^dXUKhK1G0R|IV zcvk_Ac>q2IN6uR13{;c-_cRbEqYJTB_{Fr4IijaDP_s&jXx0$`sG}^H^o5 zz-Q`#Xift$p?Wb<=fxuzXVyNKg#>QnXBe)ocjuyk{hgW=c?V zRs~?RkX9n-Kuh2ogdASyGctZ-79U~PP*d!u<<~CRR3B7LYtxF8T{?!Nye0d%0n1-I zI4RC68nKpBKg^rfqiJ-i4HXbQx4>=dyxjLao>lA4TIu938pOX`7jX~@WPeN@jr_P# z^lTrnNnS5FJgePCzFZ$yZEE2?4_z#R){UKOsw3qqM;Tb8H@A2_3MP!1!fsit%Vn(B za_2OfhiiPV49y_-YDhUHAURUHq=tlP%rx5l^&mD@G^8z-Y=Z-tIt3L`u!>WVQxz;^ z&9LZUjm7~;VIecrymMSz9sAiMQWB|u=tF>$?NZ<_+~80;Rt&KJZ1cdqEdhb%EWus! zdJaxE0R*U{g1~6{#~l&e3R1mY+6nb{2=-5{7mcd@paR4GV(zxv{CelE`s$Ei#`XXd z)c6s?t)+nM8@GOItmYqze$tkR-@pNBhUdU3!dN9ILMYJOj4^aUvZMFQFK=P@cL1r6 z@U=sJ<=N(Bq`QQC3-wJHuee;+1OIT=^WJf^vichJbLK-(8A>DTum-ya`_|C7PvY^V z-X#zAoguBv{!+QTW6rx3-!1S_UiFDt_}ti$D*F?fI@AHKaETKn;7R7C5HXlh^h{!o zsrxdvVOX}7A?4Tr{6o+@q_3pMQZTg)Ea1)Q8|O#l$}N5<%GqV~ZE>N)M!~x7JUKA5 z9t(l39F)9Tiu!T`O`2ZQdW$v?+Qe4m558`xNHnv~bX8j4G6ay*PnvTLCWgm@K+IP1 z^SI~_P^NN)(Qy;gv`8wrCM0r zdu^7~mAS%W$G8dDhB^z`1T=lN-^sNz%Wcwkz4|)K)IQg@u1iEb91XhJ5xEwYDfvM6 zkLOfT>Goml>)dkK7RrcGd}4t$1w4`Vi@x?8r-Xz-T@erhoTTvYj;62sm##V72KMKy z7jCvo37#eEob8=(e^%k-w*#CwiWcoBL~yaY-mZ;3#7$hwrE0n&Z&_iqW9;qZ8h>;~ zOjAz(rmb4$^7bp}HHOIkg&1oXJz&O9f5ETRc`KDiwH!c>87$jXR}9R=#e{N-{typMNosUZX^8aPu^3Zb=_A_|$kJ2>CKI25a~u?@$|xUD0E z3rV0H2Dkhmtcz}Bqr1R;PGC&s1*q_(cw=w!eh^JIxmYy6ip|~R@0t~6h9kSKF8k`r z-rmZ)soKb2jgHIODnmo-1=6%KLu=Va>yJSJgYnC@P2eB{+<2U~g=4b-hjNb|x!65z z5!Z3c@32#?=kl#m5f8>l8a@f=Wi6&X>j+N1+ruaQG?CtDV~PXb>@WWf2Q($z>z7U+ zMBlz(Z=2s-T8$d;Ue6M3l3xRuVhSxm5s{3BKIpgmi-?-oisza zkmgcLp`Vnlx?L~qe?(H=WYV)H)PPR{pA7{5h`m_l^X{d`q$MOR49YduCf{c>9PI^G zU)!twAe$_^TtGrD{jAw%Wfw1k)5`DgJXWP`-7XNQ20MryLW6t0#t42k2 z0hnOio5PA`bpihQ)A=v&;|;YU&l?F@fC_Npa}OspB^Vr!zTb{NLwi)Hy`}19z@fr? zU3Jh7xd)*wL=El;v+()ck_u(iI_w^muPd_R6?OAcCyxtX2(vAWE-tjbs3u$PJ&jfGp*j;7`8P+@e0HF88@NU#6t?jH*EMz0L$My9PHiB zRVebeoyHC8Wl&pm$IT(G**{Utw9Bh)HAE_^TCH*ta-8|<-fxJ&aV4hWUSV75)+$)r zdIu%X^B9`Hh`wv*IW6Ho^#zL)v08Di99QNKyQ4Ex^x@3G;Cg6K(hX}D-{D_(j!D%6g}xd;qA)E>mv@<*$ZX$rUpcaK+~5kxF2pAac=%N>3B`6+-EO>fzLHkzfcD>r`}fy+!N&}- zUH9`HP&unio@pV+24r=ON7xE68a7?3>8!kAzHyK4Lb=YbvQ+HBn+||W{Eg?GVcYQ!l ztSPK!t!;Un>i4P0$ET?I9pdIh^EU0+RcYthPqRm& zPB}LVBWJC5;`qzHr{VN*QZ9;5?qvVIY@^viP)2>OQxb+mdkWDzLq#%PR5z67y??M+ zSjDiw%%q&n3QENt>Lwj~Ps8*c{0xvFm@csrU=eyiH}Cpb=6h0&O92O%dTc0WV%R`6~bS z;QT3eZTz7V7f#K|S{Kj{_}e_u;Joz^)V0uvH!H@e3WnVKG*Y;R5RQx=UKb=?4!qeb z=_DKa-vz<$?}ZxrbHii^hC> zLN`k`gS9^kaeye-(%)p=Q!i(kFa)B=q#!VbG7-calS3zKZMl8Kg`I^HD#h_iN?($! z>66rNVaPiYq<@#JX$rYXkw1$h7(yVDzNky$V^i%H!;0ZYI+ZXhW#@zfK7#lXMnh2Y z^3kcr0*7W=&Ss!urbd>4di6HWv0K><1f+uu%DQIF7AJcpusQzmE==J_e z-fwZbee~KU31mUe(k?U$jD<>ni>OKvN0|-t=m-(#j;6O&G~<{8=r6^gv3$D&K-xY8 z-A~Ae;#6^CAZ`&J{>W;EQAqsZ`r@~1+yiz(zXcIDK*GBO!0caA&f@eEcUcd0SLAp% ziK^4%9xfj7AK-j%&m}#)l$Krz(B|KAu~u{JsH3mYsRF-@7#pkE z;OJGjbEEV%#{Qt8>G*G(Vfh9<)rQPk1eaSAEZCJ)F~PoR(h+g}tl-VX($ zYO0R@KF7}dH^^v=pHnQ9YSNiTJWm+f!v@BwqQ$Y$ei`a_1{_|I-ss`3Ry;b`bNIE$Rnb+z+c*ky}aexvI*zKtJjccvTTZIqk!Rw!$+NgN&BT7q-IM^YM>9lAFF3qsj z{Ui)Y_-SRrj^=N_HhESJD-ltQtL~Y=Od(%jfPRpq8P9`F;O6pc)s_oF{z{=|n6er5 z!u-{h;{bvm_L%5agg+m)4aA0YAb@K`Qv~YLWx~sGmt6*V!|?F z%7PdL2(eqp+SqbvQ;>6xmHK-4tnG6El;(blqDJ+}Q2=*wlRYGBr%&K>9+K^{Aa z9GQ#O*$%Ki>UYmph71RnuwA?#!9vfTIuG|p%N;AWWwB5C+IE2*>xGPGkT?t@?Dvhd zt%Wpg_71*1_@0kBba@@FZN^TvjpVY+rkq1h2gtm zJPXCjvMjf7K+`s#pH$0kv}>*SPOV2H-e;NChSuuNAtqhRtEe-DVqBG7vr*enVEmVd zAv-&^RqMyAthD#nN)(w!Yp^GI_VB1e$~skiRlP3K6DJObNVTJM{r0E+{x$grTNFbh z_uBsc88W7$jtTI-pPGD>}Uj((F_m&nMmhI4lhx z;SZUOC;SP$w;q=0ux8Ozq190iFGeAoD%-HBSfOO9W&PK~Tem;KeV~3gA0dW>Pv6I1 zYNn)N-+Qq-I+AJB!=V9uxeoR-tL7t;-ZGy%%>9l;tMtQJm7z}(vh)}z8v;!QqkT%c z`Pr;kXU{<7gZGe(<&Zjp1|1&SGt0&iI1JiBIdPElDo}oD(oS=FPy1_j?dy9UkEB(@ z9bfbpt~myqXy`*o?NPpA2S*3Iq3$t0QzT^=d^GlO7pmjpsXe^IwU{J-P?mtkdD4jT zbfg}pfa66t&>R@5s6DBCTElqWD~=VAB5A$Y$g3nSX4Ol}s9ozugn47sFrns|d)D7D8mh1^h>F8%3W z2a5TI9W)%RgrtE1+L(i!DwwV@xZ@VytBSnvu3ay?9Y$%KBd@=bFp#4X>B};lBl^>;B5%>LW8TFDeNLsW?@@;#fCxMm!*pX9lfHt)uuajgiV$d zT#h**{Ipyhjltvp#_fvwZ6(9T&)Rb;VTsa~=gJDe$;q~EJzFO3Apn2EXrlA~F^1;i;H_jG>WmV*SvFHky zf3twjY=>%B`6@dr95pk37;>@x#zI%UP>yJ?6%2RCAY-s(SLIof9c#sG+>FEDjD6gU zD+r3UOyZKt5Q%XW6oZUQHH@|K!@vgu>y(j~#NpH5x9l+GPE6*P91EzHBE}krNo7~5 zb|0;8aj<>dJDCakJW=LK#vk^V^`8D9UP$2lLk&K$X+Ag;(w#ZeR7?dFGzJkJMi;Oc zoicM8#T@0|)<b|u?YyW0!6Ew$>Y~pX2XU`J zDYoQ`d*fm7~YwxoZtL1W7$X*5n>+fi8oUqvJri& z6nm&FFcO9AAX=7k9_;yussklMDtxu6t5OkjY3tvL7s1PUqGstoYssPT_ItLMXX))Z zJ03DK>_IPJgIKX7x8Rw<+?!kIc9MEA5hw)}5-iqzE8VFOr%mr5VC50inCtJ#tAQL} z1%tXg16rH5cZ?pPJcaYO6~hh*gGh%x5*s)RLDozXG<$(Q=kn_7fh78e%R|8C^X%4F zm9*vMr4{4*^7ibRo5iK-C*+ed7*^J_i&Im+>V~x=%ybD)(9wLptciZLN_)YB5O^v@ z{$Ja{Qtd!!GiH0^v6Ue$NG8nsD)~)N*JjWChU+1?Ny%198}eb+iG#cLFl;OopkF>K zIJg1zG{!THV!AKNdnO5aW zt-47+g@#B%3Z{it%Q@M`87PUsQr8-l>(V z7?crSbh@OEA$m#}=67-ZTp889W3?AU=1tjMdw;Ne(Izfm0-RQ+6jH&8gwGA_(Q}sf z2cqudmvKpmxhIPXLGEOm41F$3^s>mhI5{xLs3uHjw&8hlNfyhYWJ>LMMzm7Au8{{4 z-78CWHW(hd0`W;PqChl|g^3)t!&RZbm@=i00BhlV_)wg0=hMU42F)9g3L@3ao5I}H z8I}fZ8eb0a?<61oj=9=X+T!Eq!RN*aH=0Y9i8s}rg8IT>C(zNJ!Th>8L<=0PZ>~y% zhz0Bh?ag(U19g*K4YsztBIx+FBiiPs)+@S)uF6ph=|=6xgUL*jcixtPvskp*56`B0 z={4aNiYE!i0tq@Z1;pR-k?I3o>lQ~?sYinu)T9ag!9h~z6;ikT8&2oT|A@)-z( zaQOIKXY~=W6~KLycubCWOz(G95I!BBDB0Pny<_|zlgVmqx-mrqM_VmHhiBtJ`$Z5w zCPrd45%V_Ko8gYvDbKOB4l<(Fy#)}+&?NnmY-1A}rTwO$s?$(4W6U5%XfMI)w58zk zbnp#zcaX9eQujFlW$d|exgN>CX+D9ODCFX{GoRcYei!0W`_4DPA4@ELI0BSq?GTP9{qy5{Jp>{!$ilU=1r*;&BcRg z$*q-IA(UIbR;y$MuoVtrm}_sru-Iv6QF-Z$*v_HQLPEzhFGyrl8>MSf`fNpzygHW~ z_QJA574ufXwN23TR!mhNU*^BKQw@5<dJs*_=x{mDYt5qy%uW6HuIrYQdUw=BHHG z5Nt@%wEdaq4{)mv_E2B_!pNn?M`+Gf3%JA^GCHQY{6Z+#==o?VMBVKN&I-5tw2=+-ea|`(iVDzDkf` z_o4ZdXMG*j@}fOMk`);6@zP0?jJxg|pqYLnuYp;NEjq=E37d$523+{9c|=_m;Y=FC2zr0q z9ABp`#xa?^D8x?{^m9Pb8P5(LYi&GbahTA*2ISmx(8c(0gM7mGV0*-m^P2+5>2y*D zK>!ty(}TsN$-pvPyv8MaFTTJ&O7I6s@>;4;BIl36G56wWqHwlP{~pWLHf$Uy#0Puy zeV;G?gvis^Jxj`$>M5o?zm}_}UVzVP!9jt89Pwn(1x#nRAN`d2;9sJ`tk0AOz$1+E zH{8RxgaNe%M&|1hrS+*9C*P^Q=fDJ&p_?m6QWaQ!V5kK*vuF%HaecM^I*D{f1%Ubp+IA5m}APs2n1ZJu)J^J{Rl04s^nuyFN`DfFR|@!RJFA-DyQV<_xaV4SNKY62@hT@DgkLAq~ zhG+%xacHfgNfA`ZaU>zuj+4n`fU3TLj}&960XK1bcKm{wvmh9SVn*;5QgF*KxDXp> z;Zr51Q6HgH%jqJevB^Jiu6LMSlE`WNR1ubZUzzA5+#sU+UBVg8!D?yT@>=FvY+EEQ zC!*yn>I=^d@TLt~CRiEKJXWgp@5P+?!Jd%4yZjSDVZ z`OkMD7`^B2*g{%}qlKpgf7Zmo0$lvg7&BQ)Aza@3G~b|J$Ysk*P8I&CB}bAMZW-~Z zIR_wi6Up0t%hZXSOGa=}k*;=(xjt200^6TTRMf=`GX0xknXv$dY&rT#xsb_X8RNyA_$By$)d>6vNs2f?oR!rfdl)uT3^wm? zQwUBwSI&b&0r(I>$MjJH`fi%N1_>bz?&Ie_?js~TGj-`X%$+E9%n{r<<}`S$e`-p) z=*`trS)6S1Q%@D>CURjquWCtl()2l|<=i+Y;!j1i7jdhWpckp=OwWUJ0MIi}l3TJ6 z%ie2wuVKrrw_6uhff+-6)=_Nlw(qWRJwWbgGK?~1p|U<-iQ8R_>vJhnE;jiLPcBi1 zRW@hF{B?5XRh6|AR&h%$^yWc*ouol%@U#QTr4H?XOSYZzd|Vm2@o@5F7Ops_jl7Q) z_!ybL>GEq;&gio9wM`Qi-TlKa5EY2IY0@jteHNx%WR6`sJuJP1f$&aYFSPnLp{u4Y zEC0QDql)X^>kq8ecE4t_gb{C=2=3N2Gdry^aVqO$<8QdOeXI3e?r5`^^}Z(42qSR{ z0UzZY8>scj$7ip(7LQ+vQ=uIKkHj_~tcpcgSP5 zl5+MbW(cv;e_PPRsa@@MkrcgqMx5Z%N!L9-bn~Ur<+53s7!rjk3?KlB}I?)Qdv;%ICl2PJN$ftp)ow;+k%4wA>Ck$|vtQ zY_;32dscrw)Oop1ekSSV`gS{<%RUw@3VxU0lDzU1SQNO$YkfWP$ke$i6f&=S)<#|) zlsaMpADLw$TU8oa^N=>@h~Cf?=Nn=+j|^}w(vlxqQu54&1r>x{W^6ldqjSsVb<$rwy}rmwYQ01Baz>U?dDE) z6Enk8YWv#EPCC25t@EorUGU5O{POaAz%~D^imu19F!K|CcOQ6u9A(3jzt&6Lx23hJ z_sY^Wy`DrdJCS0duxEW>Bp16>_r;eS+N9O(hQNvjVv4ZBkPTG)KZS(quq)nebe34H)H7M%ti+!MZpA9N4oWcss21+ zAQwnD0vc>}2(d1Q#3z7x%6;?j6E#S26$>I+F1&^X5Yhyy)jZx2)-|Upucn@=gqJ|1 znjL{ulPOb0eXL1wk8Ah>PJa-YixeC}tZx!&A(kWBz|&k)2zfAfgt^NQ;Olk0Vk3P% zSYd$?<92$LGI`4r+F>*)w>2H8@J!QRnSiB-i2PD1f4t*yB0TW=VEPmk1ex?YExNMN zI9GtnDg}xUYG}IWCAHvEm4{~@{-51el6Asc*;aKov?K-kv&2q9S;tVToYnO+c-B=` znQKkgiC7CwY$Fiqj<-%#M!D%}%W?y{P=lzvRFF$pViFDB=NX-O>E6kM3WCB9`o^B* z{MM$j4lm`~NPO5-ia@%@awPiq@h@2GFf=ysU@*00s(yk}5oIaOg0TGff)nIUWYyxN zcEn}cZ}y^F)#s&R>KDsgsBwSUKb9_R?p87K-R`$x3itD)iTviK$x&+bcHFT*Q!eFg zNcceU!8YQz_sVsSd;ERa>;c4~o)C6(H5wX?RrI-;Mgfj(au5r*P)ju{uKG+ds!M@l zW?klvU;Oq*8pDCohHSQ24f7DeFk&%(PZcU>rFa>O6fcD4U}U3XS#+b?NZOc2maoDf zS5>B4E6*}7JnfMM)^Z2!u|FFCSETDqB*+}eo{nd-W7`sNQ!;2e+6~Ni)KbM22iZWB z%yRrZnm~6U0RBToY0kZLy)+s{VKacat74^qa)$4)&Ph1*?@Ov-g?MMEm?8Zb;eqt! zLvhaQgRdzKuk?`*jXV%Juuj*{CsQsj!V&}8J|X^iw$%6jIW)vwOI{HkFX{!z0lWlKgw@5_{( zOMVy%4F^Dsc0R@>XubIc?i6ec|UaBw?M>gea5yPFzj5S zT>m(ee^IdLw=-~?{o7xKpf^)qkrM(2p!((az6XGrED0(FM33D<0}i-zg79zA=DNXS zEsb+Zs~m#O<|j?o&r=|HRfL83{B0M~P{4zigdGU_Y0sk`&i#!eN@q9FI$Eh0D@$c= zHCwJI_FH!WbsFo5orbP4n^#UY>8;Ped9MS08=u=>R+PXtTkh6>nUbtX-mk~TlT<&} zv`4nQ78`LiHas=DuR9r3LjJaDID5~MGzV7ac6>D$N#lJ)K*b$#vtKZ<$~-Garg^@I zP>8fe%19Y_zr@ojHZ~{hg_(b+=~elZnQQ=ZFK<0h^nP0I2;dD#pcOcEKg%FDH|FA= zgCO~T$_6o8I$2SShA9w6s>(w(SXOn4pJ?h|oFzAC(qSCg$%!_$fG;Qnflw=yLUdWW zA)3k1AMBe)===HMKi6Z+RK3K-|6!Nf$WbMb-SFwgWqST%&t-)@hRVSed2jSKYbX^_BIu^IWwbNF9 zpJnu1Rn|Wqa>o_q$=jWj4UQukG7HKuhoijLbIp1FaSe$CRlFxs!%%g2>DL85wjvj( zy86kPCL7BS#|tDau=B}#QE|ffG7?kw$s+S;oe~>*PDr08^U!7HjxX!ohnTQt-D1S< zv>{kD2r9{5>ItH#v8$A+WSK86m8%+ql61HsP9hz+9q#mvT0C!ly1bL)-)G``ieJy& zd%tNl6e$!ua=U}>dM}XA>NTG{gA*PE_J3EIFWC8k4~p(C2wkZV>yfP7W~hmm#ntLo z8zO~R9Z9@lS@sMv$@L065Op;&QPR1FUw{cSF>(@B%9&rewXJ#8_cAc=o6*#1DT$xOzeycmC9E)Kw;29{@u_qV|P2(ZS zxS}xa+vYYvo$*1@$w1$QXeJ2ZsA|VX769oq82C&5=~|MRo4VlmF*%RSB7`4{P#pDd zHVO!rfZDXw4$Zpt!Il+oD?D$1+{uEk#nJjBK(eeJY%HhD`*}7)n_Btv{`Im!O4a(D z%EQ}+PvTbP=WADI;~|5XOqn2(kOqamX)kKHqw#y&_tnem731aRZGz5@?m$TdETNl9 zYS>UXk-v4THB7I;csa~%`a0{~6#Le+(mw=byX1PI&dDx!XDsGYB|_m zcnJe4os^9}S8d;{%WfLBg;;#j0-p7l;vBtSuFqcnEiu4ur+K*sVg3u1YtU+w(t}S* znYH047Q2SAnx}fb`rn$h^+M=ct#RG8&mx;^A;cRG6M`R-O{L-D%KMi~ug2yjTfo~> zH4VQ8Mvs>gE0<^aSeNJZh7>i+(1$u(`q{(nwWQK^YY{7>(QcDGjqqfWJw2Vyf}@0< z*0q@`%Zi=ABF2bB1I%U^tnxIB&zV$RNhKpCH@w6qHX=p|SL^r?GC$PTAhC+K`1sxu z=1&f_c)8l2Cc3u2W@J%(6;VRUbf0Btl2F`Y)VYf`m|vxeoTi>`gW96 zdvwr9$IR>Y)MUHq$%$rM=IkMf`b<@d5=nY#^q%C`fbwITF7v&Kd~K}4z;F$*^rQ0@ z4Sj#ac5hQzCLMN`*^3>aRyVd2a?)5z3k(T7strykphhh$nsZ>Qc7_&FaAzY51H=Kq zn4HbEn!l9dl5~X1xNQFng5l~P)~B!E-}j`fMweF^Ns421yno{$UANe9e-h$_dT3dQTzRcqepkzHk^z|s)HyzqDH#~EbY*nE z!3acTnuFHKm4Be2=5dmGaC(Z~Y(EH2Sh?kod(}((&UA6`XTR-YOn2Lq=K8Ed9J;;w zkQ210aTLZ=kK-~tSZUlpgbb=&zrtSoh^z`D-34aSz#KFN6OkBL#w9Qm3&c|6wm}xW zpST@|N0Y+_&$;v!^lp@ufMv?cYmi{r4I{lR1#NwKkwjJrH|5aRv8PE^P+iKQnnsxV zp9t{@(G&~gYy7pdSBcci0$eh7${KG?ZP|P5B!Hh!V~Ydjpyepjlz9e_y56W~f?UN1 zT}>?Ii^u;+sVa<|K{^5K$KG$V_fNK*c-!7`SKC-ilQU~8d^Yh?4bl^Be3ZK^lT{8= zS8p}8Foc24u}xec3~k@==9w{AJZg;u$Bsi94Ws6U%vuicdGkP86 zxPP_v64Oubdj3pnSIZt6EKDi*gaANFtS^9aDeN6?*l&Po^l(+nHNdVjB*mkA<#9R( zcBb{DRXMY=mRP1rN=ufcI?i2TqDX}okf?on<4}r zl;fjdikvb6STV!q@K~{=8VjL*l6Q)k40Kr!tD_9n-j}cIQH4J3L)rJNMja`rb^JJA zOox=e;F?5I3T&fsrC0_^(Yus3APsM;-FFE!Cx%+-tsa;5@zPj%AVh-)t$ zF+X@&4pt>X7%PsBv14&KggqdqHG1W^!jSt~HJUay?gXlvWsLkQPE0grR#Im*_Tl>X z$Zi}x0nE$Bk%)~}`lYFe!RX7JuD=ox%p`whlQ6|bqgsXfHaF81jT$YIL9{f(HSak? zpn0T?m@}WjLFh8hI=OyV6rERA*m#w}U1h2qzjXGbsml6#Jw&N*zdT-dd=15Ie+EtT z*#yE+H{;eR8(c31v!LGR%vg8(nR?iWQ!X zgB&?&SyDYVk5FD=GAgy6YMPzYc)U?f6w91AysneldB*ZfNwqr7o)r^k6yycj+5=oG zIsm{uOIXjQV$7>=Gfq1Zc(Qc~$x7f?D4xDB3DhOeHps*Sz*-D^I+uTCI|L@ z!^~0YFTBJ!r7pCmhdi8L0w%yf7id5|2Cex45Bt0=AS`Qc>_st%GM2eiFurXA8)&vn z(v1_c41I0zS)vsNNO%C$bu$RG48L{WZ2&C)?)C# z>17e@z3yu@{by7YpJ=5K$JiT#A#la2nF;S3f; zDSR=#+R(v$PoqqAEtF7EmCxP>bl;Bz4el=aO=r4jf0+oz{lpsf`JTJPo^$7U#Lirz z*rL0Ew*_?NZcc0iwo4?}+q1LDEVUGyv&xom@Y2<247cIV0>W%XhlS_CXn+GXfhKB1 zlkLEMF9fYoKw9yoIFBEbwmtAoO2?fPtK2%89$@3BqiiYqJ(gJ#O3CSZtS5)QCq#Td zD;_7RGd7geKFUW=+l}kCIyx@xSzhNHB=BU*rOC2NCU#BeGr7%XUc3KTRu(22MeP|OfeK}h6Sw$9 znybF@fKbPT$!GsTdDghElPCbj>FE=w$Ot1AM3OO`xCeU~O~LnREf(PRSZF*d#^Q?o z>;6J)+eJi7qg3szm{M%>vS1BMpTSV>egNC$?5H3hAr1~m4Pbo}?=89Nzi~9tHbPTP z;2V^AM16l1wX0b{vq4OIUpnQ|fwiRQ8kTb|JSWSTROq@C$lwruW0aX#qk-YnxK8H> zHw!#`jFjBf=_XQx5f~Oa{a_)-ei$&AuTgrk;Fu{BoqrAlS)sby2vM(P>jNt|rNgh>#=@{8vwQ;2CN+C+RNN7dj;t?ykeFtlMtesE?J!WjV9* z3rus4%J)WW(aIZ8p^48E4n3tHQ9k8b_cpaLHU+paT&KQ&zhG@L^d~+YM|w33YEs); zo?4rq3NcCzHtF8B$38y_U>LwR7r2++O5|Bv z#$sZ13Jk+K41jjkomNzn@>A+j*ifN0KeIZ^$OW<*yfL`NGz?~QZUTT{3buT*ARp{p{y4spA`#PCdq%(!t zgVbI=WSZrJZYhdd&(h!^D?ghV6EWy@F=6~$$K`8cR2A~~Yg!i~=>Q|o`GeD>@AK1s z*Uv*oP}N%In7?%8Abm7D=%i3{BPIHITKaU$uuS!$8KP0af*C~(-(~u;_{URw3*`*_ zdq{v!3xx93adJg%>3)ftaFArB(~d`3U&FxMhmx>t4)wF+v~l@12ZgHeOpelk^&}8 z>}dr$wl6ypRB);DsHO8~b^1t@aoA=_md7tRbz;K2)jSa&9J7=@>-9u+J;6&>r7Fe} z1Q+j@6rI;ze+5kFhp}4Uw>xg0GSfUi8Zhbz}Y@6}@->kHZ+jo_eNB zh(V%q_s&vwdO2BFfGpWxY$G-%v(_2hc5_AcDm2Jepu?qKUkzVEKPk4WM>j+2dM@ow z8vq`m^&8RJX*`fav$SU)?UJt_67BmEgZxsQOvV2JJV3+0J-Z{8?Apzzotf{|zIMm{ zv!jhM>cxsvuURNkE@|ysfs8o<_zT7QN@VBJQPZ3}3lcCuLXJ*(Vf-n-Y6LJ=XrD6d ztc1sN0qxRH0G(w}9yLBmu9JSRk?N^2Appkvq5mzs20=JsXT)mCPH|p0tTyVyWvdgg zFNy5FhuyPMb=0E4S|_06JTmFIA{Aep?DP~m+37hq-Z^Hn+1lxt zjM>@#ipY5E0K9@)7GY0>x+%?jWiTetLN0y zEVe7E>1ZOYDLtsHRm(ok5FV|sc~;NMl_AU6R$a+j>o`YW3Kwcu3mdMoaHyt8>hvJi ztWh>ls2=G!J$JBCIlEm~jLh;lFuvFj6jER{Lt;v4rIl!cMM*%Xx!m-4piw}Fxh>dAv%`Oh{%GoMl%m&=Avcrz zha=aWj=EV2(W6)pt)ZS4nWhCY?9WY&>4|QM(#Dh+q|(i4CW0erg?KVggqHH&GZrj>>FO8onE`P~>Jp5+Qe*(xghpone*3 zu1DM1jR5gVrXYiMOB;=6>H$|z)2x)cOke3Fn~-#fv72Fx=vyIaCjK5x7wtYu7UH2y zLT24kfdm$wx}YVs4BMkNA>nVV1`C;nts)i#B-$)Wy&Zc9@e*t@B2jO_27`#O6(d3f zQ70iH5)l(4vDyrxo=5_+I*Bd`ZwZPf{sW51Mjs9JdX%( zA>}GQiTJA7Gl{)M} zh#*o$5avbfvtlA(tb<&{U~yv6rqjDcLB!Z>auT6hXE50Xt6vJsSTIUh@ClI6sk78M z1cEWI$09;bEVuyMDLC~9Yl2At^On5i86XGx%Y{aA|c5HRqkDqve$iyKc zNpBn+=_%prn2e*^$A7B%LVg zWb8%&7H(uS14v;QdcBtj&=W}%3^t`B-iD(fdyIE)BbuN+J z1Hjl=s|20iY}O0NVkM%7POR0$TLmwSrGY9}IG_Rm2jl^`t3p2+aIGK&TbgU&-=>v>s+%nlBRP1Tm*_D-F+c#|3O2I|S|Agvju6c28f}K4-G;3MQTwF;jYKaR z&B!iPI|xqze2HK&#K2`YN;M;x*q2|8Z3>7gbgv0;-zr;{WR!>9^6WaP0KdH^d8 zVS^|P-yVJh>H%cIL|dzaX{L}ypaNJ{SQG$?t3+72Myw~i4LU;%adVx$%IfB&Y8}&# zaGi09w=$Z^MKvKyD89a^kxS)QYXQue!~|#K*taO0lHl@apQF%FEBv{_QmUi6UQzI| z=)?FePs_XaXv#qCyC&Fd>TkX!Jb07dYA@b}{2r1=Hc~BCd~D6bXn%C-9nWb@rC_bG z-gs|kjzX! z{0(PIY%gm5;t%KYP}*An+WRJfV{)o)schzsDjc(KMa6}i>~*TltlOR8WL2ggffBez z{#Ok(s$B3f!*-nPLw`W;*ECS2V!nLOO_Z@re6@? z_~N%!=oLKu5cbuSvwSa@ilceTLf3Y;3y*eQdwYlAQZRPiL&yIL~}Uiw~k zk*Ck;F=Z3DM!pQBXD3jJ@sy@YK~m`>Mw-nmD+EQg@t_%5tU%N!(B=0-r%N9Ux?g=l zed2yPK*f&%-H$GZ0NH0U#poRxOM@mT4EL^ow@$B$T*xrLR{r(-BNu zi3t!xUR+Fp7e0N}9g8;KEcWf_nA$7wxdS&2AG+~?jy~~bP52Q56fT^HE^BP^L~8CXSa#ff_m0%s zZC6}6HP)1Bg1^|*ORw0rR){m%Lba~=sqDg2^A_GDY`eQA;%RC`>se$;Pwjqjv+yAo ziw2^{|F1O6x^s;(QIsPOiO ziw`Wm=*Nq9+_ZH0awvJUw`k)s$839Z8eDMHKnpdgNI!_BUBgPXNXota)ag8Im-lYP zXu`=S5$c#Ru>MfPZO^0JQ*Xl_y5~1(zx5=V@WQ>_ht~J?)cyqMjq72}nVEilkXn6b zP?ymp`-_q`P4pNDqG-w$F1Vlb33>@xcyw&=D&a#f06BR3^}(H zmpa4Q6HG9d$!ONIZ^*FgXohW5A>rbrQ|4ltnc-&SL?TYQnaLn1i~6Xw6)1#RaYqv5 ziXxZ9jQN8*Lu(}(;|y&?r~O2z&6#a>OJUwMIv#N1HH-H=aM#imMrqBWJqH#~)0=nh zH0!4=KCoxe8cAqqx@hkMdls*eAf@ga{AG*XX3o_L#D98Kb9~{dE9OMCSM$Pnb9BxX ztF#xg3wCJlJjwJ9RBSVgs}Y{d)jsv+BYv13Jv}Hr}V^v*_?X!fW?1+PP83)pHRp zLBA|9>K>+eLYA~uT=sNALP0$W%JdK^exfs(E_=km(v47Ih<*_Q(N989y8_cXbL!7g zQ-M9di#kxZRP5S**amTB`oZKQK!7WL!IZ zmDlV1z-YA3)M{L-%V2h6l@rl*#YLhM*Bk)7r3FnQrOd zxmsB9{jh6qm1n_Ui5W^N*NwjuIh zDv_kvrYJ=-3Ht>H;g(Gc*Y{4IG`XhfYM*XWShh{Etw(b&O>|=Qkl51O+fq~29J&RV-l}mAJ*F{yQYFKdO6j$mz5UH5H9OeJR^BrqBbCImq)JXt=8jaZOE($K+EIK zc*=uC)4OH&$jE7TSg_$lm9cgWTO&GRuI^0ksb9KiYi(OC!kyVp*^H1yoEYj_e(}0x zZB4EAu-zqDf##O$o360nC9n7I09t=ybhcawZ^`QQRhApfQSlx1PdCr&2)6hg!LYxrefHz?*Bo5hG1V19m@G9A zGgi!!*My9s)hES_vU=xtHuX18X`dVjHn;TkZ(r~Pn)`B9_|)yCxp8oup)A8O_L~Ct zaZhO$BP#oDALAc8HviN9vGtApMkxJGdBrE{E8L@FRPNkypFCxyo07Xs7D1pQab=r^ z=-#qZ9dQ!Nc%c_eP*E6~SNVlex(`>Md8}xULT37sP1M2%5WXnP6tILut>#!upXKY!LZ!58LIB^o^PRM0)Iu4MVKth5Dp^$Ke0O2O) zD$tNZxp@h#+5)BA;e}FKXiZCb3oS?6mjbc1`OnO*4j&=B@BjNgh_$o3v%531vop^# z&-46#c%*0p;51w2hak8?{yi)cPo5NG;)|lla(H|4m6aKt6SG&l{pcpHlmZ}-lVPS&85{;Y5Mk9GhZqr%A{xj4Dn9cH)-#oi+0E$s3k{i#|D_Sb=hN>&lb+Gqn>Haxk@WWbpmY z%4P7Tl=$Iv`Fw}A!nVHoiN8$V^<-b~6T8nUpEbj1V{|NMseR-A8}GlouNha)9<6Da z?_BA$Je40~ymOKN;cz_&|7qSG7j`!E?7D2?+S|RXPN=Xrq}D};-?{se2mZdW*}r{Z zam|FybEnqGD_7r|4Mfh_w%kNs!`O*FTSQRd1Zo{|Txv5Gbb^s+Ac|xhTf`O_DWTFg za`NH#X!rQ}u~k=HwQ6Zg?>RU24-E9*_X=2i?z!io|A3e;!@?b|&^~8fEO5)?qix0UoTI_``5>_HnA!vfJrG-6}# z__6%cH*b``e16-u=Yjb~;Cby=+aKO_V&~2iyXIbbR(mmr^s2`V^r{nYojCCp-1w&a z>{B=+CNHoB>wK0 z);6*cMUUX2|$Yqei7s%w7PUQH4LMqk(gY+B9 zn2C}hcm}8#3?<14jMkZu2w4(+7D-DWCDmnc9+28d(Fx^RQUw(O0RxZ>5zK)U#vDii z;wvF34*ANp2`ULOLVz*LtgAvBV9h@FASRK2A1TA9oP-G`ugnUNpaZ}JDYNn{9Db82 zd`Nxn@YtFnii-G%Z)6bjL5`kV`(aNyDY56Kldwmj&d$zvOmeW_D0!Kl!KB2zmd`_i z`)7(#u;<((TU8v|y8dfXY`-LM;}*V2?)#xuM-dgOC+@x(5S zMw0vP?GDD_flZLuzJoCg9Y*m2Qw~XBK?$+qsx(o`LU~04=)1gO%J~rhBIi$O_z{@e zP`s>^o$ zAq*DGIv9}$6MS`1i71v7Rr86@oMqRy&Fo!H-uWYFJUfTP{gtcu7Iwu|7kd+u6@7)G z-e&QM=4#-x1xSb`SSCLSR)BT$;GEU#ez=;sR(@*sg0}fKz5Ems`#~qPmQ7jLcJxj9 z+94nPM^M|ja%JbVv(Fy-ApH^)*YB7V@kG+^f@{H-a=m#o>i z^L13l(o;6>Z|rZePn&NTXe|y-^>8@emsO9oG9(NI)f*T0$?v0`HQ`8=zRDd?d%xLIB+O2nqE@Nq-+*_#C+VvjV6VjP2Ityoof&i9| zl@;7PM%F!mD#xo-8-mf`Il&;nma%exo+UslhccOUA#{P>uGNy2G9$W`-i>amK{vNS z^ceK4(OFTc#>l$o6jhGu63$_GDE`Ely%k$Frsra-v%;Jds{%NRo%nlTF5!|9IWit` zz|1RlA4`V$9V7`0GSDlVuh($y+A4lc^K!Gb`_=r^H@@gq?@&^Iw zYK&$D&H-ItUIWOP=}@IdJ_7c*Dh0Po-pkHto^hbGdq(pXLCNt7*=$$xrR2ds6cv2{ zxF_*VuK7}aJTopRm|J!{|4~R#L$VKsq~~J_8huI39Aa`{To`^}I2soLiSCkn~*E4ZCWUitU^n_ih#+p}bL+c_al zbLHQG`1fDsfV*s#F>t$n48li`=GGu^>_#KCI=>d#I@E>mTlfwX1@PVY2}t~-7t629 z|GuNI=j?#Lup&Bh`Yk|r#~tZAF>b=~GoUN5jo%AZ;Tk5{`{>#^H`mwCvr5G}q4&{O zAN}k8zn=kWVep$Xqb%&Y-~<{Uz$uEp2#sMr#SW_&AmS3M7$;O`cr;4TK^*Y1UDT&P zG8Qp9i-mbX?qf8fQDlG3IL% zSqbyGKjsf#4@F83l21pHBaeBE7;Xc(30}eTvH4UKL7u8FRYD4TWQwfFj=9%W2bFyi zcv#v4F>+sNeSSD%DwWAS#$H`lDswG9n(C@c)#qfB6w+pAQHxc%DC6*sk#j7uT4j|H zt4&40@vkDydUo{!gz0#)12MAWfB3lwsfB=hMe~ zZ@#$~i!ik_XV$_FeaI;3s;Z_n>qkNRp}%n3!eg(E4r`$^8pCoS_$Dw zER-@?yNU*B#BQvCus+3>;v2PC;>*Txw+tsmA*=T^l5Fw1yPU-AjA^o(2~(&J6eyS9 zfmF`eQeVoTl+A?af+Swb2mQdC#fnXzi}KG;lXu>)EYoAtiqVATgPyEhNw{FlR4KKT z*d|F>xvDdv=2xQ{tO`?hBu4bzxD|W2WuY;!W=I0I$eYXjVR!Nmy9I4#t+{P;P1n}i!dTGl z4%QVpoK>|Ib#)cBRZd4y9X=K-tlipGv-!4FM>kKHu=yw%{}t?67l}b3%hWmBkisKL z+$GF;xRjw>pt=HQW<1$184U*c=UOdD5UR)?Oom8MCQtSgl;0i&MH2L&TA+VAln*m5 zCNM&z1brE>NV2q?g@nvt1QKqdD2V|s&sl&nwk%8#$bN@inWaQwfZTWhlTr3yGRhS? zn6Wlrbw0K>-wx=eDJ%L8kK21c>=8uJL+m{LgaNZ3RcnReZDNDo`+nSGd>d5!_+abd zzOL5d6Qj!*CXUMrK1J3KH=-g!oVJYkF{l;p(&ZKQJIdHE;F_TP27@5Vq>Vw3B!70A zLT38A8vnJ3>d9Gj*sQMx9Y#z@|hsip2 zD5hQ}q_}P9gN?l%_QuJZ`ZrB!DA)%k?{M>e)xX^R;-NiUAnAB&aomSDmXm12~beaIJq-laFD z_~Mf_A?5AiaABKrhDZ{%*|3Ev4GMhpz3+!yoX*l5z;5rp;^RPbyx51+fo6-2bA{f& z7awYvf?9`GoDLGLD{b=jBOiWvWS{l72MMHxrvyoHqI@1%y*nhLoe~ek{9p%vYu!f< zUTIs|ike2{`c&+ySep$hzENxr9v$gUk*q6}ilH9Kctpwl1l5u0AEJ_q3lyaGElr?< zOcH~}?ORHt^dOSA6wjxDq14iSEVU1{X)Z=AG9p6k`$vV*iSHQ*_PqkX6xlGL%JzQp zrb%UiPwDii!92B z#X^zeXqY&@54+m2sdN&37DHd*kAT*r4+Sdlusy^XuYY9vTf&(E(dbQk_Z?U4zDoRx zgk}Q;19vWAG_Z{{vhx-n=0pYR3~$K+}5} z|Nr{>GvyyyUyKND$#`3i!eYX_(pfPrhu2Nz(x>v$^l6TtF8zNaKRnIx;bq47skm+g z7>mkhe;>%!^k1VZo_8$$uQ3jemHI!GQ6B4H?&sw77<6<%5#aLNf$<9DcYHHXQNO3Y z`hWkG{BL?`)-NNkzZQTD-#{Qb+}o%HL~Nt+?IXUd2J?TVcYojBcM5C5XdJ|8r5BP@ zdF4r}_sjH6kU*m(=D|t)AM2xM=ut!0Gf6KVu)Tvx(y!>0QqZ2BtYejuuFQQtfLtLD zgpkmY$nuzD+iNpM2Fka-5(w9fI46!In^P>%&wH`W8EtD9STd{d-A;M0*;e zifKh!OcLpbNe!m@bJC(09R&Sj*XHx@6e2VD90V60TPips-~);XUQS0NmH;0JW2;~^ z9F1c`W;7mgprg?ysQCJVh=WDiI-dmchjRZwLjL_E-26TLi9~;@$Lmd|Qc173Cx!Qk zFf<7S69b?pc~AorUi3dw!vw7t^bdGbUX3&9)S&GE==W-|BADjV~aZN6xnv}ZW(i~Eq6gz>hgM;SCRB$G!zOnAY7mri*TINstE6`d|8QmNF3M?fNx zOs2d;1H(8|G4n}|E_H<8qXG{?@DE4f01-bvnac6j!VGh2zU?-p*sd@IM#hGP2Lu^= z0nq<3!Z&e5xxNpV>saNIQ%c!V%CnSGB}SG^A#+VAr5k<$Y#d%Nh~(@U^uL%0lH$f; zjdmm#F0Td5SO?)&U9HZgldE((@D@tc>U8oBupb;4^YAf}B1h1Vl4XayLpSzeQZ6GZ z*MDZpMdf^3a-6!%SO?);{BY&I`_U7~O~G5JTw@)EGnBHDz5QUnTH-3**oSesW>8l% z5oYeN_8QI)A&zyBiJYm{!w!Eos;Kz+;QTQUQ%bpxp>l1_Z?6#?6XIA0QMpcA-7yZs zW20X#%7F_u#$h}bq5cK8lJ|&9r3EADmQhDia}Vn`^k-u?78&1A-+*(o_x#?S;B;@B z+;avnG7);Na?k(43k2t$?w#O!R-$`u&6V?eHa=Z>n&wpP(2Cqxt>C5Rqx2}Ye5)s` zk=M0?Xxg4n85#2U!4zHy z?N?x%`sqz(bHCXPC z_aNf{KQ}za}--K*7MVC)=<*B%t6N9($#_rVs$xPB$sFlj;+&^LXkdHKHO%l9!~s-|}Z z&}{F%rI__`>Aqj~O~)DK|5BuN#gLx92H$Y{bow9o(&g!Ul#@zGg1kk!G9$-k`z)1@ zbis{8B~g7F^E%@&{#szAF{FYDVv7C2+4AB3S2jz;E1}WxV%lWj4Q7*tWdp4%H{WvG zN=#ZSQxeu8(FYHIeRmY}|4{xj?{{e}R+Bcsb;Q^7Z=WA4HsF|Dk`4c06j%A&A7rs) zDe~RbP>b+PAOL?As3R*|A8y| ze63fwBj?<^;rhF8*th=P4H5ShptpNoN5{P3KNnr_fK9KrJ#fLIOQ%-~Lgn;Jf#!{i zW^8H>XgO(I>*@)+-u&#yoJHH#&YBnS&Y8J(+rruX!@nyBehccjhrgQd9DNnGB&3R` z6FKuUCXF3Mpfmu> zxte_XGQMnW?lx$+9`W6dT{k;{@l)*m*y93!F8_nNX`Hp=)ml{-xSSeXS2_Mat6QX? z+MKDD2Hgf#6>9&tb<-2y{c>#O&-fwYF82MalnlAjMBju-mmK<^)kHB0f+zk*g;(V~ zv{7c6_V2es!i@0mDlt<5e>lJ?5D>mvIw1-vQAi4+67i5p!h~8GbtAw1cIwdkhf;6L zZ-a`r>EzoWHR>9iTt}*-dUz3>@?;WJfCm6(F*jw`MetaR{iyL=IhR^NZJ>5gmy(s& zd#J~V6(7|J4F{+m@w{|6FOBk`_lDA_7Qxf!IpguurP=(nC7X`oeTlG>jkF1vd(7xx z(mY^B|I|H(G7lkvk?t|4v**bMjJ=!L%9OgF+oIcU!WVptrq$`uZwYoLM$iPCNRBV_ ze$!u$IwX&=qi%q*QUA&PB%c|_pAIGQAAS&xe-)8Bp{~{0sWNH-mew-9LA-_Vgb-{1 zFv4u8S_d=HaoEw6$)ZQZiQ8)?Vhj!L$p`n(XhCY(`;B|nQZ~V=P6v&sMSb8_;J8$D{l$4 z#-&XL)+}0a>`$idEb75!R4p}`+Je7Bj<>}m@{7{pC>koYs5xw;QVtuc7dnaRYP0|U zY8E>2#4E2o_R!n!(x3e8Mytfu8*8O1S4E)0?r=$KpV%N-%W5t-_Tc_X-wlHg{jb^z zI#cE~&-8#tUeKKX+(x1~w*oR%)+oV>*88HWBtV^qr>w?O{6C7S2Uz~}$FhQw=2 zNG>7k2PFy{=ZN(KyLDvzDeN3;K|#kl&d58OO<*DoWxy)ze z`3)+^=&IGc)4@sdm5jsCYBVxnyOMxck6D5JW3NOp zzLQ^}i!F@9$m*3ux_9i#<$U9xrEC~e2iP+3G`K<-w~_$XVIm5}Pg2D0dLuH~&=Zg- zOAu@nal2?-Sl%j0oY7w%E#x#-jxK=ZHzwY>Yj_@T+wlj%i<2?BiYj|!NAOAV790sM zqw%KQyXy@WpmBkN_f45)92}8PK3VwlV~VT_PaWg-umhBiDn)guL~T!794sBy0*T@4)%W=^;2Th|FW3vyNlPiKv%AwNdq5{zS;}a3izc4AXOId&HeiPdcSWfV zCV5F1m%-Y^vN=SfNj*XE*8-nn0nD2De5x;nqUh#GsN<;j;dMOX^im1urjzLJ7?aGH zDu()pSuW_g|3>{qtNof7c2L&ep}(Fy>jvGEXW{r-t3|p0J#A|1LRVSXLUx_x66R^LnM!_p>J}HsA6^_PFKwOVDp*{H6?b%quFIumldITL5G-q+ zr5;qU?vo^z(}=Y9Ad+;KQoYnRYOl%=tgbxTtq#Q}miV}Y^5jJ}8>0}$;96)0)6zg*EG!EZ2psuQ zo9zo=anEsIUsx!AE(UC%dtUmcFXS&&I2|COWAY;^Vh)&TgV*HUCjC$4*5IaL4+Pp% z6zK_oY$AE#xC11A{{0#OCrkw5>^hKjV{d~$*O z6We-)G>Xc*<$c2*hR1^*^pOmab||9W-f5Tsj=lv&2GD6 zUV)`JC{@nAKHzSwE=v>@oMqPR)_IIT*V=niM%RY;d-h-+t$gGQg{C(%k=gJ!OOKr0 zlFAxz$dyQBsIXBYsc_LKKxA3i3y@R|W9d|gSxXE{O5iJ`R-zwImUm>tLnKWb5Uz5o89GOdB; zwb1H3c|QmM^8+6-A+14cDEsIE`78Oi@c!4`g<_(wy{)R%7pe*C-AjW-6LzesU*6PM z-t6mE<{=jQkkNZl-8#Qt-PqIDjsE_1`+Hhu=;3wiKIgnECaqdMjX87G-h16$2}aj! z;`;W+j&L`r7eKn##jJuiM+LDDyB#mXkRA~t^B7(^O@i(;B|pM_WzrW6B}0vAD%561 zX&R+zlqNWPOw>QUaEPiH=SN!xZI$)D_sLk=t6*di^lXeLYxDD%6ebj{%f%jJVjneb zpc?qY{-_0GWMDxT2QX&>mI*Bqri!uQ=EqnY3IPyO5EjoG*IC&SJkJa4djG|}RW0)Z z;{xZ*o_D?{=&1^JuQ;p?YK;IwSRAAeujmd|q2uSz?>-0Rn%9!}Yc*h5;0#n$+8b)R z%jYZsPtL}tE(+fqW|7#Ti#7y1Dm%x`TD)XVd3Q~Ny|NqsL}HZIjRC-J|FYIZVdtj1Ra>x;1CUFy?oR0eeqb&+2=e% z$~&q)yU&x+xIagyW8NZLd1w0iEzZ_yoa4bRW|Nh>@_e#OrLeVvlUDzJp`GK)pdB;>@7<$p`HuiC$DPtZWNvO@KGlI(6RZ6DEme z6}VQuV!a4^0I$V$D>>!m6uV?)u5Q4JrB@oW@DT(bq-tbSxcu>02{u0U6G0U?Z+dk0 z7Aq9wB(F8-6GnEv{9p3lX-?24EQSG{8SLumJ`UyqRLh$cqmmiEds=*T<@xB* zVHJ?xp;f`(^Pdl2LyuE#hi(fZ@@u3Z^yHDx$ECtWQ;PW-%7?Ew)AK<*mWg&zAn>&# zp3hvJR~so;NiebjfYJgZ3kyaTV2pQ=X?|^{Ax6G~%2D-FUc$(w<p&={&Y211-(yzcTTRn`)<;I4W|;^f2$aBJ}s1dJd5rt`Qknxu^-C+ z9(q4Lc?uX;1bzrU?iiff$UGAooQj6GSLCmN9<09puDifoFz#n+TbX%j92DwK-1#wM8;kZc8hOXTWOdlrk!v(g2;SK#-^cux!keFA4IM5Sc;|DiJ&Mc}6jWbN6Y^+S9;oR__{BE9E~mL0O5f<*Tuox#%@ zr7@25ogU>&ovbe_mhk0T9_E1gk&^W^o|L?To0L7|qZK6_;V~BcuGxCxX>ty!CxO z5RFNr6Q(Vo7)uyI2+byk4`} zVj6{$eA*oOvW%srAmjK=LgF-BiGv^}^XxTk(ofBo)YkiHV_?8ZBLf=sjg zd>Uh|;;ZU#ZhTc8z8+pXv@M7(>feO&Z3xl_g6JZ&vpcw9Si2~?|HzQ#F??AShgo`* zUoG)oRhAfrd#mR7_wxGouoZ?g_;uk0$|17mLn}ybIft%fKJO_U$gbDRwS*Q`$w}|c zr$9yHBq|YolD(KJ#D3Q0AO}{Cy}<)H`d|8_Sen8?S2m5t(62RvM5Ckq~2E?EaN1Epf{! zbW=IyvY5gAqdUm}}cfVfXIXhj^SM|VEr3QlwhK4oQV<1asbP(k8~-7Cvm)go_7q?N7BqPS)$?!|4HXXLz(F@M zMSJsH3`aR2f>bgIW~Kjhib5Ls2gFHH$qiSGn38jNZW!^ZQpM{~J{r^vBS(snt;Ad? zI^>izQIb;*(NYSNr8ld7o<{8RIsDDh%L2u6!tDmB;y@tn9p)4|V*DCWCS|x#2Z=M6 z$x@n5mRdvynk6PmAmP}4`Z9rg0)ap=NV(l|qFDaj_b(IiQ&#N1F$XwfnG*Q^0p(f0 z&$oq+=-hYZHKhf&ZTjyt8Hvdi^y|ZUj$FCrjxFn{oZky-NFdo8;7(Dv8@Eg0 zEEz8q#6KSW!){H1?qWTFTDGucdDpw5aH&y}FMC1(H3n4ODT;mz=?^Ovp7pGViM<%x zFz}OOyaLgS*IVgul?EH?vTIG4rCY6rN+pS*h3L0_bwm^{H%b$Cb$1l77SlT3Y|_Hb zdxOE*yF9_}x>&e!X7$8zRRxyk?~sg_3u42D_GXc@7-nlsf{}K_TNjqCxWG~toL*HO zt?!9X3cA3GTRw0-j9cSjZAE3oiJo=24njR#<<&nx)lnU4ov=uKXM52*Yt6{u0^sc`Q*f9H zXPt-RSpg=Lk;5~g;N`&Xz}A|*qVRy@?H}C_N(7z8_Di!?ejQ_dY}$91U7k!b3mW>GYNjjw8r7aOGob3_51*en?@!+BA%Wv)m- z4UwpU%8R6RUqA)&S7A!B-AxfWYB9nxQeP#KM&oKE)6HzT4rk@yl7~>IATf%-t89NG z|4gINiNBC^?@B@4IR0lE+s`aItw#RUyQI(k0r-_IstTAU3hRv0d{O8%N^qjtY!>B( zp@q&x7I3d*7A)!KBxA22&Xnir!IAbamYEF;_}{$+Dd>_vvI)%BaRj zd;4%yS0C7zeo1}^d`lKAdC7Qx#zdX5TSNCt^tzWWk`v%AdCz~JKhlv69k>ydeY+s$ z@egSz1Cn+M&}e%e>KRf%vRfT>F)8kI_#)u|K7f=U<$$6i(xk`G0a{^_rn9BZjfZsR zz4)YITRTr@7aVwOtB13XOa}mL3&`(#!ChAdCW9k0@1Bj0Z1lf?;3+#Ur*XLp1HF$IGVpgX!?{~3hfpur|&OJ_kB{+8(>)LPD>DVP3ahB`+kD)PR zJ}5`(GlLnv9!e&YX{1Wa@1PxY=vXr8MZGkAv(pKC(XXI`y+qblR+hmclhNRmZw9?i z<=0>|$q%R*uzp*AiemnX+A%^+C745YOnf3Rye$y*hiw6iAALq~Bn4R_p@0QDC^~B6 z(TFXEflxg(U022U2?%LzD~ET`)PQzcIp$jN#_ijTd}QXfi|5?hU3RNDReGs-W39%_ z>5N?)-%j{$ol|=2tew3rCp;BXnitj1(r6k(9W@iGYCO`Ef|BOi&hiO7+vJ~E(G)5X z>Ex4Lg@>=4a?a#xJ9BCf3{j`RQxR|ofZ~pO0T}ukel^4wH=Uinqols1z`#NI$AD%H zW|zMTeB+Dw96AmF`86~>Xaq-bm4b^wuqD)ZNo?eIuu9Be-jvKxb^+Wh2gkVTOWmfREs<6p@(we=^m8 zsqmQempb|9I-@}^r|?Q#iukf%x0jCe(_phfi%HWA;$JU-ars)#q!+ZdZ{CszrdR)~ zdb<4K!>_Q8W5G+u?iE`;K9?lTOBOM{mv=0Zyt}^4zUs=Gaev)+L zB-xQk=L9LTbBZE6=(lIATIWH(|MLtNc5A@? z5p^Ec8o74zW~;Jgtfl~4&fEZ`&$F+qeZC!g1P6(cpIGis-{*r?4DB5bh2x4G8V_Jz zLN)3Me*hT30Lcj0?E>?WuoD+G)wOnZ)J{&{d74Up?yB$JKB=|JDTYnvU})YNGqlaF z==;IJb9deAk<0G~kk^Qx#q1$aOy!qYT=4JK+-Jc#O>q2yHJh8xu%E495x; zL|>Z~lY&7WFE3Fcmpd4AyF&dTmrQKD!0QSz{c#grWwDsT+Q!6XC0&+@w=bNrE8q&1 z6gYcpI((u_tL62DR>@V>S?x1vfh38vpkaV*<`!bLLHC62Yyb!PUC>tH?P{rS06jp$ zzi9|=n$!i0-L7%~f-ZPTK@h?%iG@C~Ian61XtqkW;@Z+?k2BO&;pd!IVT-!vkH-B3 zi7|7lIE>ksH&TNS+HFJ|h7RlmL*R@t`7cyxjMXN=?a@SI4mI+}TTj;z>*HYaO!;q& zMxaH}3bZC)b!U}JvKH!jt=1*_I%;~I1tlR@VAqU=w@GAhvNl(Q%Yx0KZ((8!guw!Mi7N;|xyxM)yC!W4 zHlT*<@?sSF%vy$)*pbSq7StN6sf($rs5_}gsb3IY6YLp}SIHt6S}lkKM)ZG_MSrRh zFQP8rTUgac2xYu`^LYt6sS1AS zCH)ME_k1`&z%XqQOms>-wvf1_EZkur4vSijfLe}G3wSpbSRy%0p4dVj7_I7W{I0HWjX@fgjS7fsmt##Wj^E){pUy?{bo1~jqeueyZ z`Lio3Cg`kI-GuV}FtooMrPIctuN`xPS5<`MT1|LQ4?%<$pS%sTepn9;&mIjVl44-Bns< zds15@*u~P2yXlf9cPLcU&^00A0tTC&uD?AJxxFq;|731O6KgWDO%)4|Ju1Vj_1;^;2^ebV9-R=m3 zIcJ?U)VM)@Y5i*8UA)-i7HP0pW2hP*1IM(MSZ(>@#g*e@7A=^w1PyCdkGaF`9pS>F z@T93oQGx0H1q?V!@$QB~D(c=_`5ufXT>56Wz`7n~zsSmO+~EPtWX zRUdmVy?%T=?w)Im=t?FnTsJEii3DdILz}4Et)+kQ)}%>qO-?WTbX!w5XR~qLO`AT) zY2Iq(QJN9t&GJ8hY1)Bx^W<+QKRg><9qN9#8{cG(Y>c-Coe^+AzRm~jY`uP>(gI? zZoN)t|Dwz(9}^)c2>-)QuMy>GResD{fL@`=R0&p_Z9`{)^etA4sS=*&rLU>XjM2*2 zBxU(U@OlrnAlPWmfxWQefE)pKK=xu`fW&aeDC5f>Tk+GPhS%(VUaQrZpDC8;IB$8@ zBgt!!x^4A7E%F+zJOpmh{C?OXH4Q%S>kXFQ0{Mr6U@W0$8v^MtlzjoDV1xGo{7>^0 zqcLkJ9Zxa;MyXD+hA-7J#Q=leD{S^f08?|CfPnM_U#O%SDl-Y{*)1SM_~u)=NDTf8 zd?Xh>^8je*>;zuH=k$66P70$^0wD1vf*^RjP9GW}2IVW>klz?zQ&JL~;2fPp@Pa{b z^T{+=r)3$M=5%I;Yn1#SF;BXjouuz!v7CAnHK>;x?@TDeRxiKa%Zig=|OqxZ`@T006KsJsT{LMft~U z6__JC>l7)U2!vf_^WZilWz^0DjSle^NVcG0`i z7x%zRPTqCo$QZsCv#51BFP97$Z3gGI#2-R(5tfcW$k&Y#4@G?$AJ8|d$_bN~Mm^>tw{GPWReo8)X^!-VC*mrFr zI3FYZWg^+g*G#kup*m8&G;r%hk6d)oBk&Qj$?zB{U*OOK_?Y@H|2YuNUYG}5^05&u zh{S!vT(ziQ%jdz^aycqTm-j*)7#xX|a7ccA06vzU(GP0IicjulFJbRN`UH-yY{z{8 z*tsx{Gm4>iSB1%P(Mv>cQ$p{#ghjmpJ5D2MQ6ljWNQR`*{M81KxZ?qw#1Y(uAUe$8 zGng|YUczGE54u{jJsK`543%`oHwrJVY@1Fq*DqbN^CRojiW>O?`Lpt>gy>lsZ~o~0 zw&>CY8k4c2WWgIRtgD(bCt)q{a^fFhe89$;pK#4*E6ROC@~z(-GTDqQ548cCOG_8| z>q|VlkAq!c+-=Qf0Pkz-@>=H1v51By%Z4o#g%?g*lGJE!hCAH>t){w$*ZEzA0WDut zsL=$5MAw@3PV4w;+M==gqk*31&DtAo;QaOU)A!3xPhFv9PsqK=P&Ce6r>%Wy*F#fX zl^%~tUnK??R&`lh2@b6Ct~6w{Z$vsdVYdzuD&kn2gtL=SeF?V@9y77>fksuSE*1)- zkH!QDhaqm*80J%8IbLaN4~>p9SXU8835MNsO3Fcbc-}P4qJ4cdj8{&+_DO4dxZ<`4 zD?;ryW0l|Y;#GoYqfHGfmL$yNU>n~ zf;7#C3z)t>&Twn}YAKo4q1 z%tL_cz%gK`S^d}^h=-Lb8cAYN)Sn2#pwH&BSUso(=|{R9k1XyzwrQsCfvHpy zGye@{$d4Mm?c-;@@mZi1!1|>ZT+j%;@46N)+qkfj<>f^~>64zis0YA&JHNsp8%9%G z6^vSZQS8ux20k7Mg!oylV3aL%Q)@+2NnL>sfK$|Q4PXnRYdZFpFT8Elq|3qG`RzCT zDLZhKj&p!(egP)yDi-uED7a5v-mtB20tDlk>fyFf`cwj@QQa|Wk9};F9)4vu%6IFG zf=<4}sL@(gyg;P1ndPKT2a;wvarc>G+beh~VgMy#Iz;`I%89aqcFrrX!VE8ju3Zw># zA2Oi1lzLCaEQPnau&^HR(=e(^ z+gN5N8lS=u3NqZP3elazYG*fx=UtMlS+Zb4%k0^an{T{+^X8*d*Z2A>SFWA1V|iWO ztiXf=@`pv9wpc9KPEViq2%ymnGhz4c=e=H^AMLRJ{OHg@kH_zyP?BhmEZ=<5i_FfJ z>C@X{qMp0)oDJh>GtC&X{`>@sT#*haUSPB0t zeJ+fqcMN^L8{SBtH}o;Q1G{xAxU=jYGT#>>NpuF%fhejrM&>6*-LlForgUxv%8~?B zwqSLaEG~qJjSvS~V()tF$y$uv7;vCCPreNG!>F}`54;YC*A9+*?RKwYXt1ogX+d){ zGb>R!y?H_Nf#&kEW-zTP0e`$9IkYNy&J^BYG?W zDsO5+^C*_Pz9pO+Cdv;qNEHZz2Z0f{=dcESr;P*gENxUn`)gEYzp&14Z zSmQcXDhvO#Dl7$d^9B)U z#}&}PU+6A^Kx^T39HZwg09c(CD*$$_CJco~5-0Yp1rtRS-kd zg1Ml~67u`pb|Zuwr{|4y;jEb5R%WMxr^qNeW@#YcG&U~-IfjL>q>3$NtPg0-bg@TM zCRBwPBL`@!uIhrzDja$PM9<`Gv;#s5w3|vm`^@xRw4T#KT1V4*8r%c57LL`j9HfOZ zQLBGkXP`NTp#??*W2})jX|*g3fetc^M$iDW0OM9WI$?pu?bLIcYHKTZ3smjs-vCpgN>Y0;{? zaC}Flo-2Zs>Jxcg!!kMXdnsA<=A= zboFPIHnns{$LqshpN|%RU~-w=%o-p8&VY7JwBE?cbAZOevKl>VUmdN%FC5CZicV93 z+gzmc^X2UL^Q_jkySJ4>rgCRhxVcy~fYv#l61#1JUqgEUsI3F^!~)60GYQsHYSYr1 zJtm|;@(mLKXec&S6hm6C1x1qG1IkJmlVETF!NqDECOv=_V9;8$0*6XMbH$9rAPJOV zOb!4HX33;ww2);Pj^=^T>@w(Ei?uXg&^ErKh-$YhZMu-{0x8vb51u#yJgky{SX6Xt@Fn=M`wKqHaRi z^3%F$ey!7NFT!-*YhxYOYwI?>c-F3R8z^#@9qCxHWApl^Hy74SDTUAwM?7x5NsW)kvY0@5ksMt`)l#k00_;^34AB8>^v4`y zbSTXD@GR|6=z!5!f(8mN8{+XG2mE}D#q&GbVWdzPUqwcfR#59<9I;^$1Z68BG{8MZf>nuNIEmc*D>?(4-D$J@ZZ1 ztV_2}+Bv1!^bvgsXszwjcTXz7s}LnKCU-PP%RRcCBlNHmd?ja_vGAH1`or-0n$~5! zaM6d07vHwLLofpNH}Bjx;h#5s(Omq+$J75pp9{cs_ewu{+chcHY?J+eeH0i95)GY& z(K6PFx)+VK0~WqC79OM8ey!AUtbbI|)c|uRM`}H^;(LXeh#`)LEe3>J9>>kn89PcV zREW1Y!ZfR(&ta)3h6x!(j6KKP7;aoNqo&tWSSFedmUonvRJf`eHa*nSk=)oGnzo?% z&{=kG_k_sonzGuW+Q@%D*!hEv6TyZLkL>N8(Rr;r_}oTwx4HvZyaV2=og1rg>YY4q zHoGh{oIbxZQ5j!cRou3*vt>zhP$;nr*3xjqTUqICu3UO)aPszpM?UN}Z+s50*LKe6 z-K*@#gLsGN=M_kIc!k8Wv{4--;wobgi4%PCT0&DC%CmCD;+zhK4gR?~c$EF#r49D5swLbYDMy*C(Ztpb2 zyXMdrtVr1JWLjr1Gk@Xm`>lhIp$GK1Ohu->EjDy*Sy9mad8fQv{*}dUtFT*jTG?H| zYwca^-uQ~XzM)SopaEP;jaYY3G?h`FnrFZ`#dc{TGlK!uVw>IT54lbflMIV~Qw*{9 z4pD@d91=?|vFFl4E>kEISBCws1_=M7VucFR0h?qeeoVv2S?c0aG(f9tZ6x*^$?}<) zAC{^wjTHU4@@s9#m6}-9Uo|o13TeNt{Bu#HwB8J;&UGNUt`ksZx#!aVxb)Kh00X7< z(mnWsOO>)RxU50qiK_~` zfzxc2Hp}9(QT5&RiHS=ml0TH*)D4r}o8$pf8ag2>Jb67sn@CCCl*i*OeNZMCf1tm6 z(2Ah)QMOA2w@u<5NcaN5DhCh z&Mh1yG1e?`3l4^`3n!K{<3Zvh%*F}XJi+i`i6gGV&Zd^!_Rgp8+_ps7fQ^hA2(a7=X5$VsO@1*7Q;8+7|rM`s8!Ay49Z#gb#&Hj{N@{js{8$vy_gbF52b>5 zT*Jc}M@GO%ZAp-0)S*s{l@Li8LwsPzVIqk$pU3K-lwW?l_t&S^9{p_ZK{Q{6mdlq7 z+>R+`x4r{|Ty1?8(%9&GL`m-TT?mwYz@#%D;BL4hnC- z1vp;a&B1Zwif6vD^@fv&B4V*ns$iRODb=Q3u6i&MbG~nsAOEP>mP8(!23(u}1*0=3 z$r%pwVEs^m|D%Qo(g(4^f*Ox0%oRI1yNqT`bkMp`PIGj5i zHVSXp%wp8~=PmuXVj<;1x~Aa&WZ&!P|f)F}$^yO}A}WyEI?uczUqORQNyr0TI; z2+fT&8ucAkLV?J(mJPP0zAWrfvr;xZ(ims z&;`!vy}FsB8B-Y$4R)3_Ypiu9b5X3kw9p7SQLAI2z;gx7M$v4K{>PlC)h+N43G|#r z(1`xB)?jlrgG6%3S#`i0uI1=&5+8e`k+KGN84_vXrDw6Gkf(rQtpS9(o9;I1~?Sx!Q-CPV9OwHpeHnitg+vOrVP*xOk;(P;2%p*dJXR7!dM_Fkacr%KcCk9>!A@(~D33l{qFO=^ zPys_@NV`;2${;yL4xtlRWydNyya$_pXWHyy$Lwtytx+iAEgr%1MCG40ZkSzNeWGvU z3Zx_U%cli>FPfWH`aZaaaDPs7^`V7@;|;}yyZ$-kpKKCb zKK~@I`!=JSW%b5lfz>Zx+f(9yX2r6l?xH7}dv2I4I6gb1Y_93J_R`+g_8m{1vlTGO z2Y)avah+g5y#O|~v~4vCdeosB*TWUdch#e(qcXJh7}3+6<5=UYp7d6?ORROzdAws% zROE{5t2x*7eA!|PrKKdy7f<+Yk*4jzYo3tDq|7D2%%g$QVrN9=+@mi%fAqjF{efS~ zx20cw;(k!VM4xyy{TL{@-@knM!fy^9{Dy6j-9z%(tKJ39XThZ3q|4;LzPkz>83KRt z{6>COS?fcx!%ifpZNO_UG!|7kiYF)^Xe<^WHXi`=am8?&#c8$}#G+L!()$?!X*g(j z!fPV}{*XDGWOsTOE$>~md{(pBvROXzrsQ%-$3XeolBvrVtz0nIx8RUA%ot z$BH=%5|!NKi&rjaiTLa+W6-##)Yl22NawlDB`jwZH9S&}gzDI$6_<3taLdg3^SYWW z7Dp}ToZh`-+cn@P-P>BcwBRYw={}Ob1+Gv5c;~nvYK#@r_ROue24;3uT-pz4NLz~P zr)`~FXpzP>wYAll%sV?d>!fL$HecOQ(Aj;~qPde}CKI#N#XH)fjm6M0^Wr%z9ua*$ z^z~Qpj;5**tU+Rn4aqKlV=3ZEZYA+mM8X1!&pxpEEch>I%P=xAf7?2{K^{tfF?%cX zo58Zo-`3gm%-LIkd*b{Z^1py_$NY(4@+s;Rn2LU`YHy#nV@IBxi4n?b)cBw=X-w^> z3GQN&Dv@c1WK$tBeek;iz2G%t@R=U{u7Iy$GO=3L;cTq=WUS(8%ZfQmaRGBwteDBP z|2qpipcWCdVP;f?kySqRouwTmzbk8|xnho#-$z*+sF2HQQNqqFRvbh79RX@7>|13} z!^RAup%=eLJQ$C@{o-64zIYnO0M(vb_FcRIYIHsDekXl^>f^o)$>cUFh9g0VIEJOM zxC76vR0Ip94l)|i3XoWwkc(nVgXFXMaI}|1pIX}}zxnL#^4GVW_>pDjA;3Sg=bi1) z-FS*JnoBKT$feF8-2*kkg4o36y&XYtzr5ZIepPDu2rPT`u|M1fw6{M2%33dt{qeGA zH|Cme$)G41-hGa{u1nugYic%i^xW~M_fHOcpL>7H zY2<%NJq_P+5Z|Rao!031B(oI-bP((?xg7Eib#ojr7YFw-a<9LP%<6pO8eTynea1~H! zjj@kC>McGZ!4Owez{k<#=D?A@K92Vz@e~N49MF+kIv`<)Uf^LOtS=N_hot2e47n?6B961WqG6M}P#$nCuIyP>bjKY< z%X+F7xqz1us%tw-z)M5gZJ3D#B4VQL{7}iJ63_S> z#>>A6m5p~gu~#T~6AXYiv4<#Q^cC2;6YBSYu|(z&|785JVhvHTA|a(Rm&_0}v;jJo z46AOeNW;t}Rd_qp5K=q_f;7v1(K>h8L-qW;rs^4{xcqWlGq1V2%M`z*$ksADUUB>S z+g$}(Kz=?aJ+U^!~?f*yHcfdzgW&gi>-+S|>w>Q0J`lKf_nVIxXfRKa`dT60{2_PL| zXkr5urKl)T5gT?aD7snuT2L3a;Ln1)xVyHs7a()_-}~N72+00)KmY$fFz?;^%6+$- zbI&>769Z*&=?HR_*glK7a&$buXKoKElE}L~AsJqgKU5P(FP2Kt>A9d{{)Kxr*@7n3 z1v(-?mv&@d2GXwVL+Kuy>A-2c3`wM#O$4gJKqV6TgxlkNDK@RXep=ykg~}XxX_&4J zmnO3Ndc&nvfx^c_v_tLSEk=XU!s8GP6uz4CbxqEk0Ec`A(>nj4L0PM^q(LcaA10Id1)q5Mpm{izktGVY2Q2Q*gQ*eJRBACr@puIbLIEL@7DPWm zjku>lcqhI;$s6>={lta0XyS>feU>+wg*6a=TgdV8SP7NI;H4T8kewi2ZsJsyKaS%; z;sXT7P3s%Lq8I`ZsuTP?D{`?0p>G*Nj%v{AB_o@h2R&;uI_84kDJ2!8iU{(6(UE2|vUSj0y=3{EPz<3MEAZkh4?@ z-}u~5geN5)?UET^(Mg$TyH4l@-XwIC1kaixiL}410I|9?8aO_!p4Hbli-VRA!v8_#;~WRI1yY20!=v6?X8MN?3Zmg^1^!cmM}mWf2H#pUM_M2ST>zjS z{Qe8iCfOTAofg0o0R{?YAoqc#xc_go)X4~&` z0@ru0ER4rW%N@18Hu(Ae>YSeNB8%V0-zi?j;{K{A69Jq2>txg#-bq;I|8C!nK(}n zyH_vOCP*VpL^&`hDAAMswTM3r*c@Tg6sIXcfNg>y-b_4v3)rTZo}wjO+R(#{4@@-T zkCk9<&_7_7z_Wvi8LZV-qkmUxwGzFgXw}MMi5?v*X^zF3!S7}-%aE$MaE}!Oy$jsTzR>bSvL0Td++;NVs(S)dH55%@kQ}9 zC6b&R$u4(6flxDj9-LF@ZezX+W#!?k=jO0_^u44tt1`zGQCZEaA9!H3)uJi}Coj&I zxbW;l5SbHc@Ueci6yXI$l@ljmV`)W|D!_$|qywF&CONJ1(w<8lLHq8d9V3?74ZIy( zxr>}SD=)ocDHw4f|8m$~J-mC-aP*16Za1u4-LYhGJHU&ngO7i-dY!@U;Mdq3YucAA z0S{cr)sQ*rPA~X_C50G888F~QV%`c z_X4;U3_0`YBYm4*z$tX;a-trS+WXMYXC4J|bUL@9A{Q>W|J&~mUQvEK`ti{-ryd5% zs&e#gPDMq|Kz@bbeNX}7W?XcSdJ+1V?M>C9tVx?-FE}x2Q|-X-+XGI(-c6HGR;qRr z<2+wsPl|swDaHH)_h=cuk4~_54+yw9WO?vdflmkUNCHFa?10A9=U@nWiX_|&4LD~oIt&J{VgAvV4G-hI#pqgGW-vSqTyMOA{?^xV zXUBdqu|GIqe8~iC)FR?rh!WUtV)HQ|q)h{PbGihv?SMkuCq{n3h?`nsxpqfR4E>M} zz;zE_X5h_o2?ek;|GJo<5eSx{NlTr$pJ9?9>3G4va`nAm>yuP(DYul~0kR zHfJB@;anW`_dSJ!;OFz(S59T0m2q$4`E(<7gnErSO1)40o%$#BDfK1w72!c$G*Qr3 zL#}}J5lvDT=LRMm4T=UNC5dW?rw78K3Ys^JNNkfO5zqSqM{Ukf*ie#2=^%oV5Sc&( z8#!}AO`8)1T&Mu%5Z5c1EOo&eU^HXmPFf@CED?oO%%#!fg7}F9$}VB%fCx+-s)kWK zG)X2O#i=o)2Gl_2&$M4#E4vOtwpB>|Bxz-yq#st5{-?!Q>L@(G*198G`hylksi z?Nj7RIhZ}X?~uAQPefLxcyR$w0~ljS=AUV)}eG5SO1d|eseqLIbM-1TxU zEtAXmIH%|vWy^KP3rg911?^WpQiR^t08XQjav&F~IC!Z+2b8I`BbAb30E8=xJgy#( zv42x$Op{HbHsNJ0nBEN``ms8qxjEnENpAGphYlatomjdb!WL&kQ`xTNtFvrvb%PDQ z!Yqd~w)SoGIeHuY<4?&@MaQs?LSEhMt8)4Cq#Mfe4(1yDqZ>vhLJ?kV@)lzb!ywOc z&@|(*bIQ$yYK>f(XE8`Q15`0`MnXf4TBDONN>FIZ&v%R*1;XX!VE}HK*mRAlM^*GZN`LxS7LC}Tp=s~i2@Nv2#zU{1ib`}XIQdz67W%>n10p53?ab~WbNn>tsHZds}vbw53O<>=-m>M_qWDs~HH zTzh)(KWA;Bv1KNl)nY4XP~wc{IYP$mdz=kVjZrLZ8@&>|)w9P{TVQPJTs3+~w|2~f zb;>=8z?@)!6oh(m$L6`@j`*Le;qX`uey~;3nhk|#c8*>(d9Wj|Q7AGeeM4961EUp7 z8FTBUiqTItq@OpP)sSx+HfxpWw?o9t7(|VuCQwtT+0;DhO6pFspA#$;T-Aj{WzJAq zLopE~)1ky5Dstj~g3&S2y~JaI$b|$QPf=x)78Epnq*OwXh9x4bIRpYa7MSS}o_5WE z)!|P_ZXqDTi2EW!U1GY82N%!@qU=yfNGE8wBy?;f4`&*6a62#?40*X+Bh%0@!os*| zNsDoVTGt4rv!o#xgn+e~EqXZvBmqTv;S4CRSIDdk18J*+wwBZ?FJl?iTQsK(x?DE1 zngO)OP~_)z@VT0+&-@IZNHsIZXFWdSue0)xp#oTiPTv*}Z`@Jt88!Ty8mU~$I6TbI z2L?~MZnVZ7kb|9lr`4$fPQ?<1Xbon63m|56D;NWKjpn2>gOiQH*=@$F~Vxs zSpv|}e>?!{|1Q6)CtR9JGRevH=e#T5>0Lf3Ma|naxn4qrOT+jvy259Y{ndc_VnKA# z)c>Xc*bb=Da1Wx0H*catFQL-1n;L33o&y$9>je*j4^h9P-l9Ijl-OCI0d7zTYA&+l z*Y6}zYof%~zv&oRLGG+Fo_tUy{=zWL7Ioxp)bf0vzI~=G-RIqy= zz2En$pjwwiNkO%)6!=L2$H|kV!Y86`9h>&OO!iZpg4AdPk$;JN52hUnUjjs5F(AE! zvJpm4EGqEq=kwwW;xr~Opfte-2?)MnL~;t#XUgEXs+P5t_}IFp65ThdwPjP2Z~#{= z2l}VHHTAiTU)9v7nxE{x`)x3!YFw~#O)ELB1v6SlHEn7k2PRxOzisK>q2zc=>R9{o zMSGjuS1h`<@CEeg(t;|dqI3L?F~=TUeynYNW%Dgd@p0(hrE^xaH}74vyuJC>Ma2H< zECq=#aHEL1$eYr}?&8DaXNSE@rsPAvt=Hy<`BRpR-gV!u(e&5XzZB?uUC;!J1zx&7 z`Q5Fzes>O2Bx85v##B7ev7vmRA|FviQcYup2%D&wYDvOmDp?DkPBo>P*wcP@s@75O zNY%Ri1wq(r$}_>glfT!XaQQlzB?e2 zCx#EB!DujhD(FGA)>+X^!jqaqyC((UQoWj`+)}@NNvl6 zR^A2V`@5fg_SsYw>hf1>PpH)=ApRp~ZM7ft1Z%ZVgX{3IS1#|>)&^1c)7n~5rh=pt z3-No)aJvVo0;-Pe)*3xDK{gH2n8J%fj~6pPl-MIVkHHl1L}DdAPs~Gjb)P3dJdfcV zp~KQX4_Ar+INR6REdhJ<2WpniW!WVH;E z8#X_3aO2kfzw?H{C96y8fxI=tYjGKz`w&5A?e|(B?7^Bd`ez|RnS%icMF|7t1Hv3q zh{u(nK0|HEVc<@4&PhSvv_e2(q7t8I@wxMP`T1-iB@%(3>|cz_$3Y+ zZkRIXW;qzY>)5efH~tZREaQh&qrZqB=%?+kZre6v<~BOJXYrEZ?TgW?2bPu>84UOu zl`AbC7A_P&=1qepuDoV;-?5#$j=ggudJY6ufOl~^>Y1@^+pF8R5w!8MV> zh*J`DAVCz@*f^%@O?0CMqKSCyD>#kJ3)}Jz-B2^N$W1fP=^!Wd4ZlW`JfbY-^@DGe z{^J;T-`~nop~Cmj3;f51_OPYcS7a%IyWiC-OscTI%G0Fq{u7j~-TpqBwAr76%EMPBf_D|%LupDifIOO`dql`u{(^jd|*IYIx^%=U!>7yBr-47Ol zc@Jn!Ci>ADbj>qLFvIO&puv=9jiZ;)&On>b;5C`#dU^<0@WPiP(ba}A<8PkSpi%+a zuF+J9eWX?@_Ia|e+i(sog7@IoB19zDpEA&J)RQqF%{UUl?MJ$YnW!*;6O%Vjp1gS@ z{quNek)I`m?`CX zY04@_DTGP(Byqi&6pxsmOXAXZPF}x$GMcnWw5yep={8DLU_QQe0I&AHJg|tf>`8mX zGV>X`S#a*%(a_T{GX}gj;}Ozea?>R861C*4G@- zhW-T8O%{g`xo3(k--|pwtyrawaCHlinyNY~P&b4|2Fu!9_TYU?{>(HYQztLlM zXS)^7Ef4Mk`Lm6@GxyC4;pdyO_@!Q1uE8m_&sNyK2phNMsG?S%)U#IQ1G+-<&|!sK zz~#=71{$lB*%K}h1_9BRE&e7vp@xZHHjd^nj~&9H1fTFQ6ne)3%!tj~?n1{vp#^;k z&fqY}XWmIY?M72w=qnc}go9mRp9|<*cJsh1dyk{KIEaWj&(GgPXKMwPM)$JG*_y&p8DY%xvJzCY}QIyR;rbx zo&}!+Ij4|uDzG5AP9|HIlr_Eex=jAsTQWQ{KmXxNh2qN}lx*MkD%JOWD)(nUYGvGy zpGjoM1Q(*sKXMBFk6^7{F&yQ6FIDj0gLipF7Lt5xG=2+C%T%hA4t|Eu zAI5e8fs~@M{0ThOkRAFeVEW%SNqDs_(u55s)(=!sOsnQjFo#fc;#avQa*2G9EjZ;<2+8&q=@BuQPKx z5AmlgC|eT|E)b+;WD{4y8O1$w4hnwzh&?+X)*(i+2TN=YDquvgzsIkQ516u010XTu zNsgGj$MC<9ful*$5V?wk4f@EKEMbp0!ubw!ugd~p9w<25P^VC9T#@@TaTmLwYe7L`ijHUhI!FC)hA$^^2PjE)Wk8#F5X zI08b260F_26PnnTsJ+w$S6D7>DN-}cW?_ph1H&A4G@>hHXet!F4=&~}=FBWy0N z*o2uY0D@tUr2?Jilz@@j!n5;b8VE;sU$L&^mPlA*ER;Z+b*&k+AK5LJhsV*Yb2_;I z9cCDS>zZ(Tq~^x$m?&;oIA&3)!r}mcI9h02<@gk44GmIt~kvezZgb zd?f|MH5&m|C$yapw>TY*{c20kZQ8#t$bU5|I2n5 z`P}r}VY68|i(i_7EJx380lvoG z7aGu~&9fOLje8d(QOs*WA2vSw{BLN6&*sg$o#Um9gyCe&?epdV9k9)xzmMY?8ed1b z54XwJ=#z|&%)s|A6?B1rYYSkGQuNb}DGh?`2z)v+atYYtufKB^7(D69mYjy+%{4_G z=(>r3U9qynU0Ut_Z7+DY#+>XJvC_`ZPyGp4fKu=281L3x?45F`$Zwo^be>qk3>Z;e z%J8eNz$E*qUb6Yo-qVd~(%(FGHR;K{X2~>oK2^jrpAE zv+>v8!AHQwbwIEX7PO$_d@M?wB*HWq4U&S%*M_TPQpf#DaA)DZzv0vwPz_%)+S_Eyj-?UB` zGhQS69XBN61n5y45|PzRS^;$>6d_(g3jj$m2r0kbIWdt#d`BMGL>Plj2ejajo8PcO z8#fqP-HaJJ)~J8hZWudO9}hylq=bjO;kV3A1yWP$1aT#Kx3F(~wr0{Fg%}A( zdI4z`wG90PWU}A1j?u|XU4V}ezke@ze<1G!a@j?`e}WoD@RNSin^hCrQ9!iciG`_P zzTz=)wBWZ05LI_#zKE$@OepYTS&|w0^^e~rwJD+sTKdEjQW^(r(!Z(k%c|9XyD%Ls zS83o?(4?wKpMO(};41|2mA?B9Um=LE1oCqyrUYv^s@O1^zH4o{32a!$+aH?4qWoq zduTWM>gBF`zZ?R>hkJiG*1K;#V3eV(*(1hwPM`4fU(zytPMp^ylpJ$Ydd!(x2{r%^ zbOAOIl7T>G!x{5#IyQi56rCaMRE)4BA`AUjH~~G19{>IC=_n3;haPPOTD*9DeKlxH z-Nn55d-OO^rS77m-o7`DdB(msysRC zbP4)u1AzWRUH}zq*IrX7R1-<5M=*>1mFQ()_G-vQy@r$r4alafZ_DNya&gaR6 zf`p?Vz=P=B>v1L!m}jD`kiiRgvC;G{9+%Mp^La(DTGB;VesMRWq0bBkkiGAVOC~D! zFPqXj41^v#04#Tc({J3f_R87X8f8OkqO~=aH=?d?=!nI2tM0yM&9&1e)wh(iH<#rO zud5&0v8ZPCeXy_KmDT${1@eF1b;;B5Q0~$@%5Oe$JNn{Ii3NSVdi!+4P<35HJl2@g z*wN9LbM1;%+ovw5t&f%s5)-zaZ+{?SZxXAT1mQo66Ce>RNrWU?DhnUI zAx@ta7ktaIW;_9NCIfu!m#Y7;7j3@(`HuTKoFgOy@x^>#j@0j>6WU8IGv@p9InlG8$3E~Z0(A*-Lpql>2xaE>8+2n zH_w{0aWG1u8UMKPXV4+iJwjhoVm>!awNsO*1=K3)O6n%!ZzJd@o)hqY%+zuC7}O@r z5{{@{6Dvk87EgrY33Ht0h#{ARsP33?7fb|0L~EOLOOlI^5qtrB89Y&@i-qETN{f%8 z?j^2}AXS7~q$^MZjA0njIOaSxczWL3=(c&~&b+!C-`CZp{x;HNFPk>4%*A*3SZVn@ zblcmdb-MR&tjk;dsapLncf;Yb&Z3fuB}JWOha24gQma4p)E}-GSCqFPuV`Gw;d+!) zS4xTpeP#1N7o(k4W;c!W`#N}6nW@YdBsVFodk1s@)z*{fMRWkYcyjC3lb{lGg36PR zU1WgFs+YWV&|4fSyC-jq66ze4C7wgz=0l#+Qpb$$h3H@2gKtUdfpSdVJ!KI%p*?3z zPW!~xI~w%g$mQSY8}0x{K)AnXohT$tYPq9P|FvBHwZ8F=78tCDiZMC&mgbat4!)JT zAI&=CDXDbKUf4auQCjK=dT_?QIb#$M-x{x-1&uuKcKakd(*p1gSF_@q9MhRreZi_ph)aweN8Rc zIeJuQG;o>IxnxXaj)vAX#w>JTR(^v|d!(UO&AKglQq3j9Ee;u)YEOVo1!i**S{ae8 zGIo3nmvtB{?!sj>fX4&zil7C)=TF1~{#bnE1sJaqsu9maM+6LPt+0o=fLcMkdicD= zzXDBGBoZJaL-3?7AhWPWt;Z{)A6bUpwwBFrzN?bS9=*`PSneHh_2I(4=kmwH zsgu2)38`DgKk{NIT-i0Q0!(3`IC2e22S2-b7G}cyxrm>U`g`WoIeo75t5y0#=X+ z4#q(u0VCU9K@qu;n4}O3aRD1ffSn}TyCSd<*<=>LkBMRhCPL`uCBrMD)v=%Qf!)aB zVWKt$n;OGagSCr$z`ysR?{2GYFq&D`Z;X~reKgt9l6>@ed@7Nvg4y!gNqhgg{5GIs z3_Xi|4a3nkWHEW5-LUSv-#xyuvU8X(r+sk&9@yXSRkHznXGWE-j!#pU%rS%wYJSc3 z6@T43aW7s6_33qxAT_5IWfKHigjjA%+(c`gjALL-Q&j|o(#H{aO|yvBly)g2DB9xQ zCOVcO`{@Eu3=vg`jTF-YwbY~nI`!epu0FhFOL0eK#OpRFK|)V6tz$!enNep{XaOd& zDuxW5|nhM~>yJ>Fv| z*P5!8SA*Qj`h+oF-qtj|y__A{pe|7YmIX`xupoDd#*k%nL%`fT$Pg&VVJwoVdK1q= z27vr9t+B-e;gA!W0ECcMJX=j0vKtr~h!+4pLw8kUI`eq}C)|T+tF>^Y)+pr{*O zJQ?61L;8a-I73{*Pf$e&vK-M~F^iycT7gnE!Ny2-Zhd`jHf@cD?fLokaP*5}F$Eqh z36Ydg3Hs3;x)+_i)9mxuimL4$veXdt;R~SkrH4V;F}Uc;Wr{0#1IPW0 zydx3~hoWeTBQM|X$j<{`U6^nmb2B=%x2>6`<%|xlfA4kRz85&|-27>(X4#*{KE5!p z?OWjbcH6e^MEnxTS==4ZV`22CoP|Si+|%r&h`yM#s$z=P`gujIVF{9qQ~bPxs2s;U%19f5Mz- z)_HdYnY*U%33$NDz`*;azCnN1JJmAYgu(%u_DPaH^!f*Y9-<#O}NGCH3wut&Th zi$u;iguFbP%MK-S0l&aUkUm8X@H;{@h#RQE znA$OVVu4?13VUL_(HA3U`og>m_sVcN;-(UGp&lr>*Gl8M_4M_eI3b}@StrgV(#dmS zSbO3`Uk}+K9RMO11UL?$cnDcTFH87SgCd#+dzUhfJ1@Rt&+mPVw;h7w-qXE)6 zvv4||omk8Xv2mt%%QMfQAD@9}&%|{&xMkf$Fb5L2Hxfj9AOv$JLW&f5W{c8vXbj03 zbI7C=tKpCZC!RM}15}Kn{GttP9J5TOsJNAkml`hP94{dl#QwsRkEJdfH>&Cz2*0Ts zHSV&@9$p8(sUC>~<3?701J^waE*nTHr5;{azEZ2!t}I{oFfPJrSC(D&@MUEywcNPN z=o16!Ca#}%)ZuSkO|?+ts2P}hpeSM6SJ>ed1QUrkFcX|Tjevk~j**KJT=j?>@WSSC zT5HyXm(GE)xY&1v`7@MOT@j?}BDPD32#scdgA7I11qbrv2CGVuqxWtYWu>1g_`Z?n zYsVAZRP;9j%PPRBK5=_3ALAR($dxMj1er{3lXuGBS6CFCa=FYdn;^^5s|DbbF7<K-!j}4CKp$084w|1zSKMPRxLLb1-CP z0|^P2;E7SNIl=OrDUt~B0XP-7fqNmkmHp)&5VLUStgmY>-}O}teT+VieYI-nBo3Cjq;4%G}^0bPvlf+D(p$Du&<5-GZhJQswu7fnt*?+8K|w8OLiO)Zd2A+!-~ zOd(ygecNL|1*(Da(6;ud?p&Fm9VP9-6a6~y1H6l(B^OKG5wvgEU=ODLiz?tMm3$5a zGvz8>Nz1U-@<5=xby!OY8hft9D11qL;eNSa8W+JJXz!GzalrcLC7vJ}5kX%jK@cTG z%%C6IjqMM?-k>dLLwG_y#aZCL2)wNr#WVRm7Ow9&fjRbVnD97eky2lLhz-r2JYTo;_z96;Tlf$M|wn2O-sAnL|t3fBrn4uh9Snd<}1^KsqJ zz;yvZ_HR9_l>Afh+h?T81+PQ{Q4lWT>(a$y>LxD0d&bQX7p!LSsMm|ucL`b$`=|XS z@PhLN7ci&S0HZDuH_>y~Ke`_O2S2Xs9KU}3_|A17*A72(&&Z1034tw~QUyI59QF>@{g{P2iBwR@(%Enomm}-b2j?>p~b$e z!sueq1fUe42bV+&v;0dA0sHKoff75E)9{HQvt|uRHEZl8q|IjF^>A-mPD}74aL*Fl ziRt(RvB5VcfDU*#B7WuRf{q?CcV?fh!Of(|#TZ=7r$o#!tSWp2blXPuda@ZB^YKbns?YJMo*kSw%50^}xO<}koBF;&HLLR#f#t8aNgb(9wxYZg zT`sj}gVyq}j1IzEXr~6f++YFb0=3HpnlFpU9D$-;lH=>q`>HIdY;umqs8q|FA8Xg}8fj+kZ8je}!+_S{Jt zxlf<^{i`8^yhS60m>?+(gPHf&OL(36gEGOsUzFn{&$E57Q$9?$5}!5r>j_kzPJnrg zo%bU&tguPw(HXe&ARRn0hC)P=pAsxJSPEgH>D&(!dBKvPBzc-ru&-m9uDktIvb`Hn zq|#YT-O-d#kLs7l3%|Zvx>p1eW@^v$dfY+gy)%NYDpQ-pRdXm6_h$ib!Hws(5tuGZ zk6NQ4;l<2K+KMJY^!)@NFaiI{=OxaF1@arOEkZhvDHt41t~ch-7fiNuo5J}%FXg!NTGNPtw*J3{bLG+ zZnyjy$Uqxpo{{fX-C)Sd%gZvXjo`msdX>C&+_+Y`O1}$erE{m}RafWj(ktbgckI|K zSK>sC?ACqzZk3UOPrvcT)1)BLf)ng!gni6`QmGnh7&VfbPR*y*;K6x;PdMtoJQHk4 z5!EgdADA`}>rOjB2YVom3zEZ#UIchuI3e*w4;vV}Xd*qVWljtJk23W$=6EbV3Q4cG zl$;hM=PW+P=83h*fAG3+Laz^uT{JP31m~pp@T{2CE5K5V{06#9NTaFK6e%YmN8%Ch zEX95$A-H;jgnba`@e!Cj0v{k4L6MEg3Lv<@5hf6#WFfkAGWbH638aN4N@O(BF;V)J z-ZU0@^Q=LZNkBGaJ!7=cGN0ZrV}qNv%zmhQR?MORG{X$Psi6JC#aDNB&d|e=K!J{% zob6FYLwKlUJ!rXhumZPj4(&)S~YpNC3?pI@|IgTOR^!;J};%aL=Ij zHG2WrQ538UjcGEOn-^`o6<$-ES6t8(*MQz+o$1F1eebfGo0BaiKMUPSijUA6*e;W2 z$rCFJ{n}>J(4_D{j+D&$fSpyu%{jq_SHZ%<}*f(6);A8OBE z7^9&`G!ZW;1m0X6iADV-{X%_z#O!0lxfsXd>5$j#4S9otGzCwy#gUkx+FEQjnv9%- z_>1>R0#PE#@^Yg0V|>+;Xv7JGlhGU{P)r#%y9VGp2T6uGA@2MN`{rI4lxD2nh00UqpUOeS7$GU<76S0&p7wwf?~!|P9*{bsX& zE76%G<;b2pV4zS5g40J_PHUD%?Y3xKE|1IUaUF0vbvEK?#G!e#P;IuF4N8;8<|T!BDN>wVpsL17T6dGqbgCUp4q}Cg~+)V!_v(n{q%B3=yKIC!oYQ0WxHtTt< z+TidUb-6TlXDH-!sJEDvPA4fQUGH>iN<$%sQ{6^1h9RLyAwx5e#Dpg#Pd$6!0AlVR zjhkvVX_nFRK^3SRIUOBC?@pf%@<9HY`RE1o!aP!9&TL$w?>J5C3@VjDqf((VNXuD3 zT0zC;1ua%RZyB5A76Vqlm7JV_5uO5y?L(Aq$ur=G7>)BR7K3){Fu#8o`876Z4dLpr z!Qz!bMy^p<)E0w>1a)e&&Z4$*rYd`Ow!JE{J?zd3@g|K&nH9qITYQXz!4IfwbF zZXbFP-HQweNj$b--vje@&6~Fi!0QHgjvu`J?Wa~OUAp2au(f?|OLghgIvMb^CVrMC zT3Zv`&xuy}Q`BR7-|kkG%v{nu2|X5!jt8y(3g;Q*dbQSQ&kH2NzHF^ZqBI%odEwfs z?AAbCq^Kd-YM8lWX6i|(36I;c;hLf#e39IAo)nBZaRS{ZEA1?8E<=x9qiriJL62>L z{xizbwzg8{dweA1xW50}K}?aWF(2x{^mq_+qr<5Q)KThhcm`*I4ER9}m_|{2Gz1c4 zGRE^-z#KD|km)xP5KllnvC$B5>dyH>MqkLs`FOm_Ma>CdP&3{jo)AMECiKk-T+Qgy zMUCRc`i;1BcwsaPb3G>e6A`i(m^ea$q*sW{;LxORazRK5@u;*nDbG_@JdYbxm&W z%cgtV#BR7U>Utz$MlZTc-!V6S7LTAi!PrE}F=K`ML8+91x-$1Ym8pD-$*Qljcn8(p zTvU!ew;FA_I)Is0v%abJree&O{PnN9Z@dwGSr31jwQil)TO9G0gg376`-+QwUs-A| zyUb$^)TD}e@`1>mWtQtujE1{DXvgw9T&89%NKVQ%FEH^6&2%E zv!*lBu@=i2b66(xI^+2s<8+{LfqN`C?s3IrK8;DvO#>R>OkIlaT8i%q??vALP3qDy zKe1?IYZcwCO8E}^zi`=|%0!_*(r-l)?1M7T@)IKmMS#D{_D0_X@wO9!65uyq$spF?VB+!0C$w906K~nN=NB=uI{Ym=g6n{Ur7DJ+0L}Jgfs!Ns9sMfl{wE(PO58ST;#f z)Aq(8GY6GBD)o$N5D%W0vaJekULLC(#!5r^phJbD)LF2uwR)dHxJZYR`Q=4ygUChj zdO$AnfvQ;{6s_mssiABRo=KpB5Bs?#=h4;61I1a6K-9A`#|7pq7~{SEh!Edi5#!Mu ziJZSgDyQMpzX4Vv_kBx0{I&ZMSp?GDXB8@9<$!*C<9MiB8fy#eNo@&&kB~;>l->+3ySI*Lhd4Ghg(0S zYeZ2LGh1C7^aZ-=yx`ER!YpMDxKg9aDwNAN?Xs0>3wP~;m*j^B*T$rqclonMMypU> zL483%J^gS|WOCP{n#8=B722}Fxdt=)Gd!P5S~V!(lbvvlnf7T#omFL0+dSP_!BA6q zokeZdx~=-f*@0}}TeQ`(z9Ys}yB}h#Nfw{_^4KvXaum)Eet< zMQI&)k=(fueZIJ+cJq>CWges8 zW0|Znz(in52pU_Q_@}C7h#QH_<`Z7L%tX~*VygPGr3BUPdUq!PlvZ0YI%_r)l>+(C z56kV+Q8@54AL$rZ75eNsX=!_@bnSC7a0kwT2hrYFOIqgb+Bxr`tkD%(?aOLuyci{rJXL)lb-f-WySMLF=gEtWUdIPWDFbT}Z1w?zcbMIlobVM8373zQZs0^fC zGipKq+a)|fI-w`l1HbxWjQA=;Q$NuQa~|I^>88#irZ@AVJK+xpsuop&hEc!zq7SEE z4tx%O9=EJ!+JY!bqFV9AH#`HhQ_)`Lp03~e;{6!MY_ea@l^~i!#CM@Eh3Z7Kr(cT$ z4;~sG3CCvq3W@{7m+=9S5chH1#M29;E)LT)Fq}F8dW$$YdO^<7i}dO)(Sd^?a0Ia? zO&O>8FI-+#M(>3EZt8fMuK~ zXgU&I1OhokiI6U|lTc3Hs)5>48L=AtPdX^fx}i%~mA#3+1lrfVBWHJ%YL{y_4Y}r# zC$~3VBa^I<$oqaxM+F>R7-`GJKP47n%7)2Ou}&zCxkDuV54~zr%z*7rWS1mX&wR`oJS9FUG zPK!bi^F->${qDhAf&7-iwS1{WsbCeUn=O`*4ah=O%iA#ZKQYrp*U6xwSgBOWMs|`* zf>Pi(x*Cn^*V_{I^?YPck1}bAO^`tYh&-Qo1Ytuw@rs!i+7o{lG7thrN#l{pAJ37? z|0uV~=ceuo#9lv3)g}XQ!dx+J&PS8_UV^o~sa^?n1pPGWqd7S7k8+`GvKCOU$Aq#% z+MJIkpRN_k_NMj7kRXT5PW$NKsLWnFhzpJzOq7pk+7eylL^UHB-ZVEK9ojN=)w;(g z!gUpWPlvXS1PuD&FKeD#TFy0=R%^1=*1G0db0pNHrkZi7tJh38ygoS!HpI{T*s{Ph z_)qBjNq4-loQ;IMf%-`me$9FE(ENThJprLQB4B8W5SK72#31Q5f|trPV6hAGMxui$ zV#jgj967v#75T}E@r z;>&e8g6*ARrdNpMr_1CQwELYVQ<#+bWfdV8*XeGrC4Ldaf3@x1XQ&~iv0=Q!>)?Z( z@IOY9M5yDiTkIyambcm*POFvIs!ce-A*2c+P}?i!I&5O@1qE$ZyQ#Om8}y>u%&(i) zwvHSYbLLsH+~vU=TmEB29P@&_iY0Wo$4I{Wi|=p(wHkFosZ1fUOh}*hx5QD*SgMOqk_5My5p{+o zA>v)RAGAcY5y5L06xE@L6BH3`TOxqE5-F$817<>IIbH`pcdu(|{PPwh?$`MP0H63He zHJ2*rhZePsE&@uEi`igvn4626=vs--nQd3eCw#Nx_ksA7_VvRrcZ`@jF1+Z`uAZ-^ z)Wr69{b0{+0PL9i+U|+L>S;4BU%Dgy>eTj}$}G1zzhZ8aR(HvMhBoIY?D_2UVk0ot zpSKo_6=e2A_b^nF*}n3bFex1p@kk5;@-1HYOoHMnOWMe66zBd#KXkD$%(>`AaO(Gb z=JSVT3@rA?b-=(+3duc#qU~#;cIpggIARAQE2cJ?%R+;OCr8eFVjj&*dT`;>lMIT= zoF(Iz?%6-5`_clb&y?*?l(yu|-!tbtKL#fssF$k(4yaN9~_rE4NKcOZPz%b zRO86DvE@zI74Dq1Vn}iKQ!~JVCl+5~w=8TQ^5C+$_sm~moKilatTAN28h&!V!2_L^ z@roFtQR;lpyMD5rz+^wR*QU#%ar zzWw)^)qij1(ev&IQ2Npt8shr%9!8k|iHZk45$j6}rj7_I7yiyQL=+;?lCcqrVlp3i zIFp$XK>3O7f#460&<$C53dtfq$`T>6jFNtXQwYx{xTlTc(H}~O2;f>Y0#Bot!#>NA zx*?m79NE0|;X9w!mx09~3uR58Yh>9Yn=7jx)W}U5qfh_fq$5BID$yyl9i1B9REPHI zJujL2?m3K30q*dUnO6#`l^_Wo8~vfE80j$p#e|uML9!|9jQa@s`N;KOjjp*7Bsb6A z`67@Wv7kP4iCWUL?x6+jm$tN)vGxHhwFeA!tokLikxo@7?#|~kG zE+*&-{?lPdB@GUT0VWOLASs-p@F8iPEqesm!5CnFL^jt96a(bHPzjP|r_+p*u7U!1 zN!Z~CJ5m!;cO_%PhQ*TN5l-k{1YT}iURk-k4VBLl)`cr@-}@P_3k3vQfD(ti@a-@U zE#g>3Jp=_xFeC7Yf-H}TA(Amb7z0s>68C|SIDb?Cf#CEL=pa0ouun$(sd|4T;)l=q zfz;fWL&Eem!nWF`=M5?XLhO@vou zU6Igfkycz+Lab5z;zoswNkjzrBoUGvj}s$K4u&MYwCgoY%(nLudifI0jKD=bvUBNPRjf)O=l{r52=007PrgGJ=BHl23_GYizoTUnu)jJK* z+pHC*ZvFc$d+>KEMSoZtP%3j9$Byf8YB`Hm!#EnNvTDZ%Xy!_p)B{JvJMQ(ANLx#l z&WD`2@g<`tJ62aYv+wL^+w{ByN(!z|E^3pnu%_kTNda?+Jyzm8ye-9Jm$s%Cy)quw|EUkM>eecFQ4nKX(jrXWtXRD%RHF8@# zGzI?osQR8v`WsAjgrvtp#R;&`oiEWi;F#2{scT2GR-Gi@<;s`n&5}H@74UG{Sk|Ir z3tYWFQ&4-`XdWMB+FRXuEra0DT?O3T3|T?m3erAr`acTTcET=Ds_y zi6i@eXNy+77h9HP$+9F@xyX`igJs#6Vr;;eX1eL7n@)g$=p;ZwPk=zU5K;&!dY-#w-%u2RwxZHj3`~Bkw*6!@=?Ci|!%$qlF-upaI z6WM{D(kdBY5lRFpuAIJ3MICZ4hPU2> zqe)9idMC+ZL5CD*tn_WHwpgmy`6>+o#JW#NvKahEOVT97-3JWxpei4{=Bq-%w2D){ zs?}SXI?gw3+0w)oG;N`uTZnVP2iWebEH19}wHu9JFb|rnN z>*+0tz6)tIHDfJ8dkV1Q|B{>R3U|Ygc3%Yn_zD~VUjYHIhMskNX(Y7t`0=Go>(b-k zb=n=d2XX%tD5D?hia(CKgQ*jbaS%0vnnX2IbE$>Ya#Nd_@&<}LQI7%0zZFWEY39u77f}@L$ zsA3L)?f?>N3TWIS9@tGzlqZG()`D$nzZ%@7#dm*ivhgqLk|S=g5gxxA z9tX|Z?8sO^pI5!|vO-Ni0$068XTxvRx%88O4QZ^#2)tAQmZ>Y@2rx(-Y2m;~xRpht zWLF5jd+7AhM_3?!%(@?BefAl9_LPWOrjG8u2>*z_XJ&Ne7VvfU2;lr-0|SiWOPmPGhk8#Rf!?e~VsM;Fl=FeOt7ufWi<8O-lb zKe74XTrluGLwzMT>o%AQPmdmT9!xrWXXTg$(bI6{fH7blUDnYXOr`Zp$IVy{gYaXe zzNm7z=`5(7ckhNLW3)j`vHu{tznGHi1TQ~iha?B+{D{r=du>>`lZnSOc%h3J8NoRn zPrO5!{3d?d!S$=poc?0Zo-a1sZKkT{p)2EIsT=o8v_m7=;hh5$wE*-mP&)8D-+L~FjIvy&mWTJz&Zyy|C za&jGW=A<)Q*?SIFMTU8crqAXCKKdA%o5yzATa5dk%b{<&?gCg%Kw2TR#R|A9R{eOr zl^o!gR{b;_MhAH1)?seTcMo-BJoMe_nbO}Zm_9fUWWTyMvRk?N#4-94gVkz?I&eZ- zhmX-+lMc;x~%Y-3xxx=lMVHj_j=}v42cqZAt1zP$byS z2!7fO#8aD{_-f0e3Mn5|N|jTUR9~tF(dD6tGLNRlBkDYZnoZ587E#Nnm54%bL=<{E zqS1S){nRn)A{r4`^y4H)pWT41*GxTs0TZA2!!C&ue*oix{mKvD_ZkBKt&9Q|&Kog)MWkAKq7!fTs<;DFA zEJEXNJHdO%?y-iwm2qCojVxv~Cf?t6_;4Eo54YWae;a74$h&qauc9IkJeeD!e+uP- zC-W-67JTn8PS~>GFk908N^V6(E?13@zxfS1#`w@oM87Vh^B6?ExH#Mq-?cwa1kD&9 zkQKZ{P>B#pG0g#=u*nfuWfvasbNc|h=Yx+9k2tVmVe^cI%kLd_;J4@RpL%HoXS0Zv zhThZQ&ucb*z8R#PTYmBI&W)RnjhVi2?L_MgjXq8D$NS4>mluguhU8vPO*jSFQs%|? z-q>~M{lK{88#XQ<7kGaEp_gjQ*;JiDndEDnv-rbJXMuXu)`uV2I%?&#iD9QzuN|zv z|GYETX;A4>`qXs1=1f(^cvP}zj}RwyK@ec#G8HR}m*FgS(2J!O#D^~lM86hv$OTpMcWucX-vORWV(!IBB9z%> zbkZl^6T~L!WR;BN0ejNyV!G#o1JOjqa;6nhNls=3pPD397hsG&v(j75G657+Xw!^N z-qnR`kLxYy;|~*hn<}nGPduQRfUzh5{?j^hl&e^`8@+ZnVls7r!qC`MboYN;Yuzs3 z#5dr_yL2e$8@6t>KXXAg{1 zU@y8r&xaSlRWLr-6#W;1BeCFb1~4b}$-*m9#n%(w1o>AvLW8 zVXd7F+Zif4gWeyBFf8%65&4GRPXZu39a7qSO@z|xSxS?yr73L3i7Lr|kLIEp>K?@D zQydn{^KJq~{p*K-U>y5T56;9y8U}BhYrNRar~yNOVjm5RrYrTodL=M8IUk;8cpdu4 z;W5L8Y5m$^!%+C29&n;xyFaWwFCkUv1C8E#GAwKZg-=@bnh$h|IsNMEKnP$HABg&k zkfH9M{eI={ZTN0OgHG2F0!~n7E|->p9Bdp8FP2Hm&G1e5u@>EI_|;5UvjDjnAAelj zmrEaNDMi_Js3mnO0Afxc(__9M1vico?0_0;XE7)s77U|1#~u@KdoiIEh%LrvF%}V! z7C?Ypjl7q)GIXe^2{%Nz2~adG9ocUZZ{a8P8!07vx-#^~$T@{fqctfqJUXdDCYLFs zI!}heq}9k2oSc!7RN#SKw?+2dwo8)g8R{GJp^<+515MuyTds9Z?>W|7TSi~a2e0!f zA2w8s&Q^oga0r`7g~D_ZON(_htrOF%R>JT+YZsfvdS1@5$&U2ojLjN+=}PXO@&^2X|yUgF$EZj$n3aN#@WYpWD|QxjVLR5Jj}C z4son4*xE%&W2*`m*(f0*P)CB`+tq0kZlz6jFP4M`$X+|{?lGYRV%1G}uL*Im0lVNL zorv2rf&V5MyErPZUib2h-+Zr@4;j+GX`VCX2GzGy3|?24wDMVE4i+A~X-aM?O)VPn zsnx}?uB514-*2HVWg5QuUyIi7xci-J7ZyEbf^RzXTFvhK+zqe1!i9nOmF_Zk@b?*~ zw$$;mFOSTBtN-l!FW05GcXjYlM5K2$}DXvGpBKE zuDSp6#Z@ruGKT~cC)9eiJ`ncRHW6P}71PSo(#oe*6b|t_`~(b3w;g@| z6d?F=(V2_@&3PD@R>aHDjDU9&>@kc;+7x840G$GboRnpvJGI5y=nhT|78o5|zt=?R zMnk%2SBaK(&wzK&7dv!$vbDbxIdapv#c=ct*cMznzdj?Qe*W5E8>A_bgkhtPXtneh zTAN}3$P|sjC*H2c18CxXmepq9y(08u!|?Luwl2^ZA-L~vYvr=7pKm-4 zvY&`hLXX3HKTPW<@I};@5|Rq)M6CJ=pgp+h>s>0{F8F7yu$zOQO56vwYW5ra1 zP!e7gFEkU}c@j0MfY?A@D+DjY%O`gps}SileGTH=*6&(##i`{Qov0%EU{@vB-wl9& zc^J3yhJ;5+a6=O4|H;F^FrewAIz>Ng-MU%&6!poDD+yI1{ejFiRn$Pd=Nwabk5>bO z$Nh`?;V$B*FcEO#@g1)eOJSS&_}5r{tNQKz+d8=#*xp@wrIEU^NvVx)PWU#cv!Jg- zy3D2Xx21RXp(e`)Jzd!NL*y%1sW`q(|{rrM)N0OOGHq<_HX+VC<&8gBCf@Y?Nj$kQ1X zEi&lfAENK92Xof1hkM{JrN_Q#d$?3+a>S6csv$#EFalzU4JMVRrAFrr3Z2#e`8Y1%Xp}t**kD27h|~19-I0lJmRk#gaR}*u3=P(WL(*rt6jd+%6IcDfWSn&|f6{ z=`jW<-}Qa688sx+iW(3_z@JbA+mzVXCjJn94o1wWADt4-IQr?b&41pj62@RCG1b6{ zl0_&E9?`p!+aD%}Mj$91xqKJA9^nxegkmgdAHdTn2DPCmwy!Y|wc$9b`B&Ny z^_hQ*FcEhnLQ|5yM_9dpOO1P9XP;A}E*I|6gf{q(XFq#s$<~|3?7{1|o05UzrM8!L zJ@IyIR8nCK6@aREIJW{E3UdKCgbbO=?C7CEJH|pI--`5aLf<{3r7)eS;s_^BRwcm~KY1Abd6!PL>+4Mif%XZt@Y#-y6P|fnr+Zt-XxuS!qa)mX9zrWR zKFqF;*M*><3#CpVmm&)5@d@0P(d6~TH$m-jFsk^s;pggf@FPizBu^@R5q=b-@&BZZ z!1bb3nuij1gu1Fk&qWo69|<>J6sRDYhn@i0o$Vt;z9_sU^8HQoD)}~8J|ysvoj`CD zUJ)Rcx04OP>>?=%dO_^tNBM--B@ANpKB5yo70*<$UJ`w`$2$>$4YL?e7=yRRm{F>; zJ7X;`3SRHzBR6;TR&)Xhb0+QUibp3Z0f#Lk!Pln78^DUM-T+Z0!~nxyO($^NV~(OC z2fXbq>sR^JD=HRkIeO+y)Q;o0aFL_^xTA<3_U)dM67YM;kzJ2{8+{zz80jdYV(;QG zeXGMeVR&7@8i~`;CXNl010GkWDwjQQ-!-+R%90uy+u7;&2 zW>jxVm1fAS#_S@eQliQk!`qtc%c~p5gaQ*P3R4sxKXnHFJvlYmYNS=(Avs3ou{o#i zYA)Ugk2Jk-eC?o6iFl$?f|B2IcJZQNI2jJ2|P*sh_$s`g;Tu%eO8OJ?Rjei}yK z%55mfkyyqss)pHf<8tX0sO>hP^+XUOmQVsR3DG?#>+FEwj?7535doEh46RpbqecJ z<6oG7(%egKu(o)J7E(rSSYSv~UB}LSM}ozjgDqz$n@f#x1wo93P0%8V&ja?j_6Tus zZiow$IB$FfgEdmIXS|8<_0KUnKOF*13Y|^?kLVPw3LQLxFF+Hyh}!Ck0aZN%i-vfE z&EIcYxlTXio~Q2_qStL0@mX;l9gYF~!~1W3TF5urT3q)-(Ve&XrY)H|u}`L^9R1TY z)fLBeqWOQ2`gy653H8H0Q3V9F3;_$!S6o4c7)DzqG97%x{gvYh+(KeSjW$wE!hChr z^V#bX$rg!1DY<@KqEw(D4)lnL8lH7JhZ#)WDtrJ8JfPQEQY~g@XMLle{qsz^VxD#S zea>M_SLIi%(1=nzcE2-0FIG#L3H>6hlAxy_`-JhXXYbUc0h9>M?>DG+M97H{hz{+$ zuy5Z5Zsh0pM?>fmBcX)=Ci4XA3>xv>eWCk5N8xZ6mM*4aMxy1ycnx;mZm>&mUw7Mm zUWTZ==+Laz+6sRNfEqXr9z_4AftmpPp|urIpbuC9`ao*VB@qQft>M;4D}zs}WHp)fb=XKz!Mc z#EBEi8PWQeH%7wiUf|wQWoD}0;a*tBgg3t2-b#Enf%6#NsS|H5;oUicG~(9prxV^! z{mZg^A^0o}McWuCxHJu6E0kLnOK|lHUdP3XCSJt%YVJgIXesf(Vj-9}8Ztq|+<9Xm ziP0pXu@8B-6VKHWAVkt5l9M!Qm~Tkc>y%b-g9*{b=%3lymI4#(PbWujj z`092|PfYc8st1xfdtA_dOQMF~5Q!h;Zp7@A^QmfT5ETI;pam(wiRgT9&>sv16Tlp> z4Ez^(9b5)i0i+e^^I@bk7r{w0a#-4pJu$moq5ugKr)DA{4OT$#8-X{SkAdsBW80a< zF0|C*gR~U@BjTNnLXNDHIH|_i?Raq!I~EJ;Tazy~?cu#p#Kz&NE(oyr$6Xxo#GXT| zKE0JOVSptUPcW7|tUCk4ECswl23vQT1d%G>4Oj~ml^7@T27#5_AtGWz7+KJz1SaA05QSa*6k-yL1a8WK%4A}Ri+T}x#$hOO;%f1Jp8%JK zeL$kDIKO}ms~3t1J{7yP$vzr1q@YR_^DbSo575I>jK)&MsPw#nn+r1Y+ZQTE3PBJ3 zHpp_Mr2AdP7OrJTeM?K*l)tS?nScAzq4ZB;9S_Ea{RNH2=+NlzOrr`%z6@wiCl)0u zQ+SEYl4@0$EDp0)FXMfUGKoYrm`-a(9$faN@c1B!37qZL975qK)JsjXewhE zn&r8a!h)jA75U}Uciy4TF182d^f2I?+GTk#L@aOgNqL~xnjIFC(r!+XNyQe03H~f;u(Bx@y=|}~S<%O;;FuDxYM@n_ zEi)L^*6XiX8zgp}B_%VpT9NExUUgQfO3N@(uJ7xNa|19vbOIO-+8ID=s#N9@ zZyLw)Qd%V8vfWY?4w37?mnpDM_Q%^7sDhO}dF| zT%PUft6`)gz5aDu)lOcLtTR?|tk;kbZcM3^C>(arT#g%&o)BiMRN}l8M^TPRH*n_6 zJu^R=o7bmzjVN<&`xRN5NmH_*A5G_HCnskW(9FSMMs1o*Dlw*}N~B7?GF2?Mpiic% zp{0F&uAHD<yL>9Tk zqSh)TQj66fW}Zw`SmwNg{LYCenFa`bG*?b@!>@?!n^-ZZ`b*y1I}jxAXXU8p0bEJcG##ti8565H5_ znq5DE2f=N*0tCZ<)kOfQZ)WOfrRRSfBK> z2E*<`hmm0nmfm5I@2_&%!JsbgbM)%N@x{Lm!w=p?SN_vl)0 zrb)?3O}6}!0Yj(FsXR2syLjUCq4mAJX=;X6TZ_E|dkqf^jq4o5{BorcRM1*#2KMGc zb@x<+5goh1H0z2GD}wlTG|zikvRLFh#R*vXhPJWVxXrW9An4o)AlHcNk6*cLqMlfY zY!-Y1zW3RN4WEHx&;W{YC_49Mr00cdwN0%CD`(X@QpplO)iG4CY>t~se?X$wzqFp5 z&%rC_m?oDw5{?6^bFCXbgYWft+wX3H3mqM-hWK4=>QJrEQKngl9^e7@K4n?=t`g#;0+SI*_!1jMp9tJIK z|9>hEjX2W(v+~fLgOybeR74!UV zV&@X~AM4(h>XS|;7syV*Gdi*&RNw&8I;}O)&|Z{OAr7g00~&2!%rM$CeiOV<-ed;V^7P zXLU;pP=~m18*B<(&q8E{zVq6%ah@`!HEh&G+I$9i9g+#!8$$@`*njDjaV4&pdfZ`8|Em0v3jvcMTCAG!Wp92 z2uj6-v2)ZY>cKZqdh82Wc#5S!+&^wR7W$(I!RG@GMJdvQ!Zhwh_yJ15&OsGJbxP}$ z5qV=iEJk&&Rrk7S9Pt{0#9BHGUZ=gQs@Qw59sN*0^Vwrrq1CugLh6cZg8qb}Ggx$l zHJ(tdqg1#ZMRMrZfo`BG2!1JWMEntkz!(e9;vY@UFyM}FU5HF}+-rH3iZo#W6fTrmLR=Js+f_v`6g2=FY!YHiG9yhT0~%1I zib}M#5fQ)26m|kv0sPLm^aImw>~OK0rO@(gsqz=)@F!sFKpndToXNDjU}?&XQ1Mp- z>Y5a#IK-e10c@Ei%n@|22_?#m6$1BDQ38He68ff<)NpDlvAXO8B=mQNjb0;1oTZ>K zX~5tRHm48ceHWAUB6fG>B9_bnV!GxNJZ@t@q#FCprcV6*X(q9B|9+|1q_CP8`PQwB z4467*ep%ON&TYOeS=nF!{mztWb5^XFGi^#iv&FLJ`N_Gtlb>HRjj0(~RT^rjLhK|g z1%DYhu{%Ujaj}!5x6#~_Md>V93)nVL4BsoO>D8iA17KfJ%!?<#G+E4hTjVO57G>5q zEpDpM6tQ>t`*Mu9k0(&Ypmlc*>j2_2-A0 z9)KUd^cej3__RmAV?^C?u$XSV8saUv9<==?{Ah!t%Ye;DaQnKjslqx%M=O?YvLS^o zJfW(Cka`wP2WafX?;SZ3k8HxpV$tlNuEY~S@W_$)op3BJ=I>REX*bqo^-<;22x=~t z#b7BN#*x=_%6~hhzG(T~c|lOd<4M@KOiS2tA&Q0mB9oQndPay^5$&X|V+u-vXO$J1 zG~vS9$?QfqWmYJmfy`ikF-%@H*#Q1Rwht?+^7E_m*&XBW+Pz`-UE}*LoZ8H4>$Gh1 z)P?;zs9VLdA?$r28e+mI%l4nU;E6aHdMOE&_U~Ux0_uF6ePmM2;wrnnYH^Kh+xySG z#M|xsOV7Q(O?J!JL>XruH3;=uHO(8fag~QI7hGy>z(s2kHu1@A5M+FIG^R~fY;mV# z40hDD-5!*L3tv2PVev5Vt(wR&;e8tAExG?O1^JmS1 z^I=By3lO3B* z({2Z<-@mL@TZED@KS-(;8IjO;T`r8v-s?Xr zJA-<=1C4`!r|2V?kt0g|&(HXJ#`FGvzvSnhembJu{&sfu+uOVMr~d!D{v_h^*&Mi4 z9M+YIKa`+5L7`cE7Wyt^w>RceUE>x4sMIFBPef=uDtbWYj{%MeY2ArIcMcg`MaGG?PAv8eV8gY(@c4p0RUSCZdIF!@@*VJ!y87;8^o;sgl!5xb9h{p zt!iA=0awUZi&b$$^i%16zK*LB;%(1tS(K(TP1!#49&w%W_My@G-g7fx*t>7m;G*qQ zOu95KT;++j&}wWR8vXGGb=F(!%SnfnH#Z&ZwWWZch~4Oq@dWe^&+Glm+3iy_qHQyw zGBXFx8PXicr>W|Zv-YKfr>AUZ%j5e%f)20?&7uRT$=HuEhu2qvm?dBrRK`1zrn#89 z63>Yk%zp~-MR-GobQzu_7`-?u2pDG^mYOrfFh>G-dy*k{1si`p=DVUCc!_Bw7W8mz z;mM;FreF;RJ7(?MH)}!ez_I&gdGhGRXaMhN?(Ty}tr=AwvmP`QR)7!=!A~vP z9JRWlNUsG=){JkXOOuSg+B_$%jFJ^8ZMy22Kc}Gv49oGOCFpxwGH|<>7WehI;5*^% zg+9)@q_0c5@4`NfWqtjueVV`Sn-!hfxYaPiM8DO4pfX_hR7np=>x*tsD6l~xHXEGA zqLAc>GQeoAiEDkCRmwA=+F7-;-mJ)(9-(w2WPNk#`+T*l?S=4?C)m$({(Qe&@lap( z0L}K!zDL%B83Z2>^(4^g#IGDUJDC;y5!^x;Xo^wSA}klin8o0R273%O$!jNC6|q$T z9@emk55x5>@QdiD^(~Js0}p0L8>a3SSGLrPTE|C!>kdUK z%`Qf*k$TgZP^1-w#RKx_@Yu`}E+j2VgMF(eps`%2R)F%PRIF5Pc8REx!pPt5KLZb8 zk1r?hZmG8|do;Xx%8(hh`j+dhV9KF2jH1|OwmCfdG?&d~&Q<1?m1L?^t*OolRW`GW zKdkViyg>w50wx~j?TV5oA!MlTQ(@j%wi}_XKHS0$WTc;m3L%(j==#9#8 z%lVbkfUzLGFnQ*_(jv%Jk0^ANOCDUaQ&R3K2r(PXQzSuGeigHrXT?*+#di9+>~zpk zQd^9M>e$8V92m@{K2d=Q)%I%Cl&>7C<~ z9FXF3)K-~n&&*(p3vTd=!UeAANP3K`pekRbh<*a@b$Y8jN;yooEVjb=wk$JPnbW7Z z#{Bi4SReoVa)XcGC#M*2d`6S^NH~**B|xy+wlvRf?hSl9%iO<-q=d zqIyJ|s-84D4Q8=ogS5(nqK`;I9hKs1({n1`L{zCZbVgZ~>8oWexqW3LblWupvVB9v zx&6+c_w);T;H5(Q>RKOjo2laH$qD1&<0I$nL%b5bIL|X{-`Ih<3os#u9b8Qy!+P{! zMImU=n>|&V)#@Cr1%8Ud8CKAw)fZKO8OEgO(!TROS7{TbyU{SMbmrBz|HYpJhSfBT zh3~jLeTz%+te3F`zUQm$#DU?TVJRw^@Q;RDYwi>oIh~Owv2Gd0^-4!4;@HRS^63QN zP#xKn)(My}qjd`Sp;ob3p@V-^=(I{ES)pTC)WInq`TjE-Fmg(I)!HBTWOK4YZwxpV3F?Bhe;w4cegX zG_W_pFx`fQocIPwhNIJPqF6Hg*yl|kOm&kR;diTXfV=ddwK<0+H`KNv=jRDn0q zqyLSvJB6}C4>p49x9F5uR((Z6aT%zbI?59Bve}m!hI(kYyH|ktt|}K(FY^;8!o*h! zNrkC?Ml9qN)a;dj0I&fJ%~fQj4aGq^uF0#jD~WnKmIh*t4zx5U@Wr%`sLj}k^K*J@ zz~v4E+^zt-E-*L{7#wjgII;l!v1=F94_Ub2NTl!4MT?I<`1MhC-OJ;k5(vB*9!TcQ3f_i#Bj4og%zGK;yUjC*XH3SO7>FTFHx#0`&X(D9i+_foj#o z_KT}n+5CB94_sKX=>2;qM0p&IJ_C9!%X-&%?|JDycx`{nl#-Rk+niGt><8leUb+Xx zPhHT0`ponj6nlWsMIF``CSZ-|V9<9d=Kw3f9?5xAO!*zHK4Z$|0jzc8VFW!SD~o6; zRxGjtrZ?OIe*sdk97y557uK(TVLixIu!_t)_o6d3KxVbd(?+KCIRk%A8;OExKsMmr zh3>pelth|Q5VCXnssSyfV;^$5?4g1TdI^xe{0hqHmsef}2iK1uw|@P&@zIA<@-njQ z$u))nBo~F%T73ro-HHMuaejuHWP4UdUW(qT)S6kP!)){>C!4iOYXW{4Px+}J(N>M` z+IxVASJLUOd=kQ%M<%Q!gq>ue85LckqrW(x#{4g>cG*N~qwOZ~@%`gBj32)Nc%>P= z(xk3c>z1aZr1i>>8Z-M0yW4wLq0uNYmK#qk9E6S%qw!Sn_Thap`@aVN{@QCmPOnIW zI%OcvX?*k-eG-=}PRh*CYLmGneO|9zpR)L_f>;KN>Vzy`D^~h)djTzwzlL)I-*(40 z6=V=Epn7Wszjb(#Lo}fgIfywg@8rlOppz99rB;sF@)bP&l!G3+Vptp~Y%5xIHiJBctxaRM$}&^zLJ@ z&#}#`NUEL)LKk=If(z{z6<_h-MP>h9X7C;WTZ7S`>@(=+3!^tS0su}k`ge*JjpSV7 zBHB{s=oQ&9wHzGGc7rc{ed!{QPkTK5{#yOv-asMEXNUkOq=QAUpFIjS%yn0x5+JIQ z%Wm%o)h6I+OQ|GkA>wLxB~U!P@>H@s2(nH+kFl{)`=eTtRY4lrZpDB&1Tq`ZE3#fv zVLm^AF$vK{KJn~_Io*7+E)Ws-ZC30L7!BnLG%y7XkHi_f+ibu*Yfm=2(u+{G6C_JE zZJo%#qx|v>+a}O=HZzuFR?%zVC+pRSArJxefPrs44w7^VG)U+Lhtv8>Wn8s#E^SX? z70G)2ptcPvT7lB3`d7U7q+2d?&flL_B9*bF$`NZmgqPq;@Y08C)_e#uK|hfB;b*s) zVCeN`7cP!{7~NMqch$PFqUbC9yp`+6_I~>~tyL+c=`DwBeNdLws+qLY$|_PbncB}c zs2DkZ?SMY#9tTFXT%?oBTMk%JI<87Fw?v`{)qc88PU9*l27E(az9z9i^xA*MM}gSf zYNXOJIu5`)YfcyXT>cCRFtP#0g=P}9)2O8p#c%>Y?asjXB#5vuxBvKuZtM|lAPek+r{E{iVH=h7{Pmz>spuqr2#+fo_b={kvYTL|+%6g| zteGGdQ3UW9Vu;Qs&70gJD>ekeSQ|vy{$AD*?-FhF`(HbIP>+ z?wui%EmUNGzu3Q?Pp>J19yU0V-^gT5eVJp4w+mA zxGX1z;~xEQ@`6)mQKU|pLVc6MT=(_@qid%F{lV9d-3HG-nyP#f{_e|7xNkhiJOT>Ag9o-WFTG>wfw$f~ux#_P*_-d- zEc14)8Q;D=dwcu%HM{1`Sq{W|egM@cpTj)~EQ?%gg^#VS7+wMKxBSc z!4=raq81Uwjrz!^N51l zY5ismpR?<>cl&y;zd32-qI*_6@0kp)(U-VOcklQkJ*uQ&*Bj%9-~acG!xjU6(UIPd zg63a_!0*w7GZ8E?2PRi7KK>kdYS`p{`H#-u+_7rp_+bM+-E@{7c-L#M#pP^aUhp%5 zaRF|*t7*7tztESsF-_?d*U65hNZ8Gc+5p*zh>(p4&=j@d4NFm|Y67q^Bw+;aXEJ9a zg8oZwF$1T(Wr8| z?tG(PNrp$sBx!Xl?X{Lpgg+KkSF_)OVst8a`hptf(E98_ft7W(?DBMnL8{e{=$$vH z)a%fI3)NgWG@@kb#@UA^j@C(j82earbpe-zA8h}&p!x$aWm?|AeuZ*#RZ8`1M~|Kv z?8*u$67u!unQugW_%@@{)ekW7HdHR^3k<$~1;&hUU&q4Arc{MSMD?ybVMW%r`?6KgBNfSeF6E4vj61P_DGwQMB zTMQ=#mw_?rJBx}_6U}xq5K)a5>^gAt*u8t^F9>GK*ij%6;v{qbIrM7AnBEGUxYfS-fdGdzVfB4gf^$j^HASo`AI(q|V z%FI2x&%eK`%x_Vt(Q3~nYu+)SfAj4Ap?Mpcp59cmecM}Sw)v81vD9ufq!~2KT&p#5 z5oE6N%w2KYhxJ4AJZTb{%&d^`v!;djY+Re7MWj!$?$HPDy+bBi5DbMXT3U9^7-?Bht`i9SKrWV z=TkIl%am#`jNZ~Tc z3kY8x4HPFaK(sOjpeM!%{&JvXL@Je0r3kLw|Jl-IKRk16YPy&eNflh{9Iz1_cn#bu z)9BN^8m+{Tui*@KbFMB2h?HUpC&K!_qFF_rRd7R!)1_4WDRZz+CsVqXZP~HDIatzo z`|@p5iVW$aM26nQy|wV8+%c<9PM`X~q{`%IQ@^U3;Z|j@=DC%Px+V{k+WF|ia* zHxeB%C4|{!nPZhpptDzWhB%Vea z{eY!fZ>qBp9(?PDs_Wh-+=z1_eZtuVapodaxzqPh%nsdT)c>Eg!zgTJ{>m$Yjrpsu z3RdUw>sMZpL~Q?A)7*3G>^iSu+yAb;^k^NGNtIx%Scw3d6lZ)%K=05UblPYKcq&}w$kNg7l9 z=rUg?dh#O5WsYnFk1JhfD4aTkcytuximb5qAznwQqClsdJPv-~Bs(RYA|pR|Z9|Zl zeGUhYfLwS1Ho^-ug)6h`oYta!6tt?M3-BxGyV*kFHpm5!)S-LlcHv~p9u;JoPV}8W zCUcaN=-?0$RF}A=>tkW0rg*WssA&wi0ke??(fd;Ac1vbEu{Whdf>kP&X^Ff71QS(; z;H0&;W?HtBlr(Bv_K)bRZ?|ATNP-0BGKVZ3SBQ?knQ0XO!ccOYrnOa&w~HyRgXk6G zu}lej$vhCbom^aF+8;pN7w7bI8cyRx{{cGlUs{aXXgDb;dT;bzsZyswmo&Pho9Sj- zM-muvlEN+$c|7fz>DTNpiVo>z_Luf3`^)7H zX`*acgG%L#&o_9Zmb4@)kNp-g@r`gitZ=buN}e>;L&HxnP5YHapud(rXm}C1I6NMFGdw5id zp9Sqsw}=xFQ_Mh+4`3w;tm;V%j#I$9-A_Nlsehk0?Qz&%oG#ZhY!c^G+Er$yire+@ zkKjJ=Ex3=aO@Q?j{(uKQ2roaTeY`}<0HsW2~THYO4)HHTz#T=JNy!AVv{SIz@0yT#C$v#RkqBE?TRUx)e>@$^k24s!~ zqJ8VWKQV3EiSNmGl&}={57Yxil$26nDy>0(AQ_M|HsgipKTUpUz>Nm(=t+2qSr$DB zGTFm8Ob>yVaV(J=Hr!|xJ918d&pbCiUCL8X_ zyi+V$yA^&u^7?OnGh(Y5+#wTpu46?4E`yXHYuf>%v!f0yqS`68{F6_jn?Csjl%t7( z0>|iOAPfF6dIvlo@7M8XwNxcFBKAB_Ft-ElfEzp7=FmzvfYp>^pdi==3$39Hb{|@G zVvQYdz>$tQ>Ea*_d_+mlr?I1zTr3?f2eVCHo0dF#c5+&+e4@|hgZpgB;0Z_7fWnO% zn(FjYMGa`(E8=JXPPx7ju`DA`p_lr3j)vcxhMDBbez^E-t9{tQ8F)OCd%sqQ%pUydK`Al+coq zLfxkl8ie1L4o zaoLDri`yRF%pFF9oVM)ckQd*)=GeezuD3?*efiP2YPx%t~4S7i;Y?4`JQfYQ(X0}u+ zO_SvmNhC$r@XJQ6B7M5=4O;XvYL@~meF!pm8wzVW*sToe)Ebc-v3?koD4+zq-S1)Z z(F&?BP>w-4zlRTOfAwdY`SK41z18$eu`M{Hq1tHN zeErP>^jE9Dd3W!~KfL+!jaTL$ZLpd9c;V*2K-ymentt~a7(Ti8`U!(p4=ORM0N{qK zyC>dXiEh1sMxR1asHeqP3fv*F5lJVr~ojb1Wn)lYu5x32`{n6Id7vM*TdY~*mr2D}mQTS08t%N^c zg^P~>VorkE$%g9D7Q@qx;SmJvz^wskh|bY=!0nD67{`oifA$6Te*Ny~cVHZpM;--J znOYQe`N>8rB@1T2BwDhGC> z$;uJFJ`VCGtRzuCy-sS}9lT( zC%4Qt+b}tZD;=C{n60s)d^Bp0lO1DI(;tgn;#Q88YQtr-of$z}hPo-9xmMYvPw~6z z+*!WTn)Kmw_FdRFXLx!|sV~c2=kllMOZ%g*(!W%lVGCwBXP1SwdRcef03MBEJK;%) z@(ZQLHb7ny>Y>!KdPqq$S_0_j*TW&tMAy-qZ>6mgY#9s`@E?GEArb}(F!L6hCzys@ zM&HGaxZyHt5H*STAa;x5_)T~pOORC?O_ohuCjK0(amf7rZ{OAN=SP1$ zvo{EWzx@jsYg)X&eUd3FNoSU8`}fz%iz~E~0JX`KWzv}y+BtKy3bQ$=1<&=GXvoV? zvM|z8YySZ&-(RuoHp^gBDA!oK_rl)!gYP=?*GKn%X?)>J_}g!iU%u_h9d?DL!rTn# zW^*t@VZN&xCcTxe&<4#9zW&<>%oQ4~JO%L-88;~I3fYIBhuBCm>*28~;4)$l2pl$l z!Gbibo|^`UPg2&6x8Hqn5gWnya%2M!ODw*KS5qrvvWmGYtDjl3=9$%37ag?kx;poT zm6QDrxx|t;Y*s^Vir8eCPuWEEUtEXg3UDc~c)!jb6rXXD>r4^&stQkFK&6-oHCzlQk4bJW}a(IJRsmrhQ zW;pVDxs~bpDOMUxZ!qWOx{C7B6?|aK!aF7m-m!jCX>r4>nO;v#PO4O@b@@m6)j9xz zgPln(e?hO*8~=(u8s5~B-CUT55_15pzt&bawGY#y zeg0|d1QKmE|5a#EQHpb2{FM>(l-#B1n?K{J6@2Z(_uTHJyXeCN5yh=oIfCp^+d zLfCIJiav2LI$i4ZaH>wnI7H(|ULQV^$w&qiSv27Tm7D?ByNX?iMx!H!;|jyKEJlOD zXaS{6|HyTQPqHU^+_eAZ1||5Oz!WMTzW?*jV|I4_2BzcCLO zXzp?|9>ft5HEUIMa_wI$u4@Eac|-^CZ3Tn8V2hM0yO@K zwIv#)1Z9({*|T@=p7r27JO_$k!Hw}C1Y5^bH|XDo<{v-(%jx6uL-7Fk)1JM|w!M2I zlfZdUg#Mq89-?lHho|5v^Z;l|<+7!F<9!^)skmPkREe`D0s@JxoPHxs~IdpnC7ERM1wbJtPyQl+-9AV_Ar70GnWV^lS|vXXoTK-^=b}Hp35(to z7jXsCc%?RSACp8b#Y`|Fp_eLh44^n75si)BM^80HH^TP}Ig03=%s?FXJL&|G@t2-CND>*niCpz+$CwJ?)l z8-%BfhS3*RoGa7S>B`QncmYO7Px%oX0$+neKhmvj(F@};XfUz1seTdwx3{&vd~Euf zL!ZuU1fX%|r-#-|Klbwb!ekJ~ZivfIgmspV%0&EtVDoKo_;kb*nZ4^rME$_c6XTQE z6o*!39Qx~_w?{LPNQC(bJ_bf$wcKbETrOrWiP4hnML3Jz`UyIG zF*4YZ85}t>$X*JLq!)z4)QvT3AVxo+gmC0R{KO6FvB%Ju6nA8zJlF~Q_U+SmJvOqN z&Pp1dl|XF6UX%u~wvNfl;(b#bLjw;-yKQn5kHOgtzyXxBhi1afC0oy@XN;D*-N9*% zzFY~LTfcbG?%MqT6!|QJ-h&Nw3x@S7^VGW0FgguOqM8f)ndOUTjLk2 zbCr^0qf}xsr_gg>H^b+NfRo-j|5fzl7qH{i`SV`|9IyiJRagtpz%S3OSaA+mKnbvr z(3xAUe?}Cih=M^;N^zdZBR~A<=>CS}0x6rN-@1JHR(%#LEl4)>AN}cJxkq%Ah*KBz zcoPoIS#b`2+2e(<;8tpAsMl8``u%dOjR&9@BQb{|s~;VKwRgufI8l3|ZZGlxqLYge z8qwtDqy?pEJtzv0RRy*!#Cn28ZdEmx%a&(}nA}pvad%+P9b?b#+%)};KN zWt{D==4vbWHbbt-ISUqL?P+e_Gc)qhtT9`6y}GAk*W#_c&(gp2%a2~pE&)uRT=2Mf z!J13=-7#&`&U54LT$loKNBzdiRW+twH1S&al_9@R(YJc=Xfw{H{k8I~i+8o}d1cSm z#<@GsQayeA4ko_fdieOoC;_~Z7B;&{bddRf)qM$k8^zi8&g`Z8T4`n7vQEo~WJ|K- z+luWti5(}7bH|C}-1iANNr)lj;D!WJAmnO*aJD7Ta1|P$C6pFOxf@!V1m3ok5-60m zkZAMG%*u}Kgwnq6_x^t0msmSHv$M0av(L;t&&=~Y|1|MyL12rBHcM1iGJ#$lG`OL+ z4kDJbKYvRv&p{OL$8LGtwM8MX%SvJvN5bPOFP@mJ2)hzWgIcjz#qjGtyz2ck(z#C` znmhNQPXR+haO+^ExV^VT6F41juX0;VW~ZL)<2CuK1Ac?n7Vs2SJIwVOu7kI$jy?t& zQE~l?m7W;HN~87&pQqW$L_VxTTuV2$k?md0K`ju%2w|vid4NC@T@4})JFs>S>2pX( zqy^b0rw8!Z2criQ1SXHLAN%qlfO=S^1Bh5Ps2u#DXX@0RPH;m_qfWY&*D*A&UJnj5 z+Vt9Zxywew7uoTCMrAVdyx=jandqC=DXm^`KhGm(N?KCXnU@#f)G>cu0rs`Ff!^t% zm1;A$Qu-yWplLPpi_RgL&d$t`tUvA-t>B1;hqOX_y|hcpbuJ@(3Z>UwNVoN-AIasf7?=*A8z}FaxKP@# z61PV39-vIg`@r2@c!eWKTl}GF(mqY565$tQ=$q#4edL7X#g07oGs+KYdq*qUh;4 zJzV-crO4*=Eap)^BK&;L@||$IDeQqOMyzXc;EH(m(Gk;cJ}#@o;ueh)&3rW9g~CA@ z>JOu23Mo@M<;JE-d@6^Dht7z{{2+16M{}|^J6;7(_kJsKF7t?WM9m=W>${N1C09ey z%HlzpQB>QEb;0u1fXY`ItTWo+WxZ$Bxhv8H<4Awq@I)!CrKj#GFggMzi^UXh7z_4H zW8(%ldUOjZ25j`8#Q&pmhn_4$WM{y46tKHIPvqis0&H+jT zeK`W(QuY9wV}WWyJnU4w-%YfmLf$?-Da4!-Yzh)1JrRj^xqiwK^?$ja(s+*qaq+!& zcNlMn4u!F*8{@?tMEdP(D7fayYv$uFgbAKNn*_oIzCgmdYayoLeW&yxm&YGST03`V zUpSq8R^!v$uhDQBbokgltl_H8*R?))G)L|`a^w#_#Be+~BKMQ@jAS%iI(|mwLb9y6 zFVavK@<(EmW>ur!lf3~Ki%RurI1U}PAKQlAxuElPP5(7~Gc}2zE@21{+0S@xj|Xq@ z=U9O-X5}$U0Ez9stcC9P;k^ztKjI#hb9z!oe2M22#uFENN26zI5krW$LbJLm+1%u` zI*s5DqqG)n=Qc=}eUVq(b$iQ!oi@OTy4I3Hi_0zYc|$$^O541N9XlplIDw_rtCy6H z1~jXDa)5DO*3lS$Ij*JwoRyjMa7dRgRqC!_6>U&FJ>+A~cUnNsAZmXcs4o8m`6!lu$p=Ob>CXLBvCyV9!%F#HUikUmcQYAO>bZ4TP<9 zOfvdvSiVA9k@oxgVA9Q)fN;~$X+&&=vPu_0(M))aX2{E~f!qN8iP5^O;qZdR#=y`R z~Cl}lmm+I+Zs+rIF`ROlX%AB}qRy(R7CMIy_qR4VY{ zH$$&@c4;yNR*z)qIR__*9$`K6dY;Rpw^m92xVCugs2BjOM%4z&+d8v{crBm}%4rHA zaJ{GV(L1^hZ7=Ux(C7r#aC~?uzo35F>h3}%q`_CG7oUFNMnNgvF;n_}fUd05@;^m1 z1kn7qi9JizQXPnop)hJHUPi!DFe*7mNZ4l!_E1s++*?&ah99J1sfm70fP$|cy{G1LP{S9D%Rd0UUud_KUPoH1| zX8;ZI)Lu`E<0i-fuZg}_&*)1v>4h+|qdfD0uP_n(#HRD*x8(tq^o_+5^tYP-x?OMa z1xFd5pQCW+0S&B(ge&OjrrQcCAB@&Wv%E!2g}0(0m}0#(k#G`Z*i6Jv<3tiByJigOz~oF zBt@Ss7`B4ZkeP6ArG;TsypA)$CxK?E@p6qxwPEUPpaQS&G@Come-9<81=WU()Wlas z=zpG3YO5=0sUlpI2R5j6*D?!F7W<%={}G)m1I9-mmp*PB-X$${nkTGx7B~-IX$Boi z{&86Oqp9w&(rhqmM1_?;yYeNipvoBjOOQVOlV_yorr&2?(wdbhVGW(+^Q^3tl7`br z=H=-T&Vr(BBcm$jeh&7Om(#@>=_%FR&Sk&^EXy+wOkMaatS)e_pI~-6%~u{aGJLNd z+4mTUU4Xd!7{SZMqp7T3N(KQd$LG{>y;yQerNyur>VYqeVV=Tb*b)l6kzj=v-LP7b zJpAH;R0dXJ>^pD!!=HBS-2TPR?g?JLq3zIzr$EO^Z$o9|SNrzqT=`=+4KLBt>GX&# zla^%1ww)L*z`_?7`F-~2vg$5JOP+TH_`$pT4jkC`?#_Sg@YH3Tf4~31Pd|Nda+@|V zv-PO-+HAmjZ@mAFA9fD)?f*V}=XCXX>8aMWn}R~ut+rHkaGbr^Z5Us*;I<{TZHs#S zW0ASTPDQ9Fnoq|O4<1B)jLW$Tz&IHMCE1&z3E&kkR)drg&lX{kO%ja*0& zN)IPvdExaS?3oG@g&!Oc-6}G54&3fNFE-9~@!?oFXx0>{83k($Y#o1Wq>*J*ngW%@ zkFM~Ut>U#%p*Ls}I)A2kSfprpQO2)JXbn0AycU4Lt6|rOtbS5P;Pj%#B?>kJoGy&^ zkD7R|f3z?i>hsJNmqyfc!gVfIjEZcbpmh7)=ucrTU`23t@H!Zv^r#(HpmxBmkdkr0 zWJM-|J4hUGS#$7UP}Xb8*)z$_BsZH(>R5vU%8n)y@f>(L-M;nhN{3RXGc}l8sruG> zO>pyQXVUpTuP|H9+qP}nwkDp~wrx8T+sP9@v8|nV zYv1>++O68%`{DGdb8mm?TXpa0?thK(sW3*xydMYL%wnEf8l88wnXm4nLs1$VF1F5C=m< z^0OsOTsTCI{6`A{st_D%kTm&^5=GJIW^Y9UkVbiu{i@sYG83~Ws2;<>qZe*P#G8E- znL~<9SX5X;dKeQTtz6N(br))Mh6VdCMgMcO#W zmlgCpAM%=GCZR~HrO(EF7dpp1UIy|O*d`jiF?{_kL z1iLIm-L>4YyV1XBb&_g~0#eCdAnMD8i*VTrp|`PkKI|1gfG%-7F4~ly&yMp6J@*j^ zgf%n|udr@K609@35ia==-(d&*d}L_dE}ZIJ4*uIfC2j>*fw}99)|254Hj4T&b3Rv# z0$21kaI*T-bA#ZnQ`R-QX|8A3&U@YXWKfAy0>@^B*~B#zv2wIgjsurBM#+4jTPdC_ z2>zH!lg84RpfJejhbqpwUihLt$mrnM#k!Zwb9I)v9bL!X8q?eJcfyu>K&S8F+K3wz z&9wRHP<(CyMfQ7L{*N7ws%>_QU${8E9;Y1_51SC~FOwW|5AY0mFUQdvx0B*=RFe@5 z8`tuwWr;T)>lFQ%7KD;nSlchSy0N`u<@yHKTzdR0DGDiyDVD6d(lsUa1z(;68z8@> z3bLPtSQquUnQ!nMxj5FXSXI-#d;V&v^wf&W8PO&0s}Oh?TMy`5Ow!K#9=gNsf>B1mqqc`#*k+b^Ux~g)Sd(nm z$5~c5?)IWe*|rJdwI;g^4V#6z`I*J)kXp@d*1Ee)XS0j_>tP_1(oAz4)XHck^{Fg{ zie54eQLKMM6jii_f()4k++#RJ8v)%kOA4IUmLeUDx@D=_6YtP)UE4eUGU}LmBMu!& zT7r>6(6m8f?%+oSHAYpGAB%lSSNV9)f}ZZhSDM95%IDZIpR4m_F|>g1^ZSC13-!Ta z-q;F6=$JOw-XwGt$9C(v$8^b!qwfRI)A+&i)b!aeI;-lLE~8HoK%MCBvKUR1CY8r( z`m{Fiw=l*xz{E<02Z?w4-{XIyUQC*D)}wPoQ$Go1EL*$TMoB6D5=ANd~KUtR;v!IxSJN+jziV| zmS!+_d%q7SKA*o(Wc3?OsotPuLo|Q3lkd7rk56#)xw<@NuWR=0$Fj*tjV_0DfbnvG zyBwIM=Pwyqi-q7hJm3~_Q3PQPi0d=`%7TrQ<*K}ZdX7op#|xOXc|VtU!aK#*`rgWE zGC$RqZIx3tuxO3II@?ky=`?k#cmQ)xwDVH2P*AW~bkDdjC6o@PHM(I8eC5 z8I&o#Ev{7R3FC&q{x{q#q1_uPteoE)z%kk|3)1)+%QR81$CeQ#vJyHUzr9c(yH*S; zXHLZdSwyZ2FY-5u!p3V)G=fi)m>%RoZb#D%+YQ&%(PgdS4gXT#p({qULZMb`r%^z-PN@ZHb(2E7iv4!K0)6>CNc(zsDhH6!AvTZT6rmJPP_DWbA z<{-5uZf0^$XDPj8qJcJ-r1G=wU7Mmj%QoY9+Cm zchaL}2pl7Ue5Miam&AHWELLunG}Nr4fjwI+!$>&!F36<1!w`^^vBS#M7O*wtpkhb~ zEvWUsQ{$fY?5Z6jlTxrWIZ*40yeg~qvSdZlw3RHZ?DYe#mEFCqeAIk=soNfQ9;c^M zxx={MY5G0Nt;8gaG`^j$24K&1CQYUVIAFsI4tYsRF@FEPdGmIC~zQRn?X4RF=L} zl@4f-N7CE;^LI?Jm*dDB6YfEailXZa(=H}RB7Oo(tBBQu5Q|j`4MiDnWA=4TtMFR} zMt*{0eRU)3hU&l-s(TSv=c|cD)S3>473l@#AB`e`g_X_5Y#im(eBKSc#gnwTp&~ zlF!RU3z|d$#`ZKws~>EdQ0&?#A_%mdDaM355}(EG)PU;IQD=d;9m%u2vb%`y+?bO5_m`8 zIV$y4{W($SWX(qM%LY!3X6gqGKBN#%7!zxm^O`try(?0&7mbvBgjZq2pOqoTcsVT- z&7z#6kAgeLNQ7mu3sVjL(hw&a8f|c6pk0G8A+D9}WR#wrp%BJ4oVNaL50q?waq3Ru zjIZV!x-p53+rR10fh#AXu=$cFzYbzK`KgI{?H3}W4@@;m@x+7P@!|~z!W~E_Aq(sf z+EkvGKl!ZWHH+dca#Faj9VQk6x}J_9hib5d7S58hx&31bZCBjU==_BZ-a9(jqxo?e zp63aJgUoMKgC5w{Uik1&YM(d!xravA`p>3$!Mft4X}qm>=9kA`7KHEje0f9Y41r|` zxjx4SSs1bwYiue4z*ovXTXY$Lp+*zL`iDGXa0ABvah3sSy!4qSvL zi4oE93d9LC*i5>_a_+(tc$zzf@x10>&N0em3BhB#c6tT=^LWnn*6%L>WKwNc)t+rQ zkvX0nkc1p}+fPDKlgnqO9))~2p-lM*`z|BV$i-YEE}aSNO5b-3KN@q}DT4K_e8v@J zcLrrGHc51`i^5~-k|M!FRatDw)EcxQZ_+9#A36He4}Vxf4U7Y~&V>G!-fxDO-rHqT z49hO&!@6W1nW-*_a65r-gHijG7F%WJ&PnDs4N6qIG_BK1dj2Ij$ls2GK=nD86DlE} z)ch#Ma*jpZxhi_$I$FNdDtsm{(_*Kc?$L#rFgvNyqE_m8fvOEKtffn6<|f~ZUFvqm z)b^(V^&w#d3JKzS(pSqET;bRPbt9iW%8Mcp$(^51!Dc4_W$#ZX+`eD*3W!IIiy+2l zD?Td@N0H288#Eot5>7@&Mh!*DRkrcz+R6#ivDOeX$ z)r)yslFRGsKoOETT0CzL#$Jp0YU$Am4w@A6o}`NGmU0W;>aj3~KVNevfj`oz9VcEu zmN1ni_8b=S$d9fU$xOiXxBPV?NrQfa>+JujpvU(BTkFc>9Ve7{^%xEVZFYmkgiY&j zF)B|@7A?`Hw_iK|4j~sqdvFsUeY?8O0~PTv$~ZcgHMsBHX89__fSgS@o_2p`JIv@^ z`K)BP)XgRa|6S1?fC@WRh3PH4+TVd?V~LjU6~amUI6>4ADv_EatsJgD8`DD_XAqUO z%F6$^p%QDu9t|r5+m6z#o3+RuUS|I$>;3Wj7Z@63K<~Sn$mCiBUATtF_1hleo)I?u z2b!c*o0P!UInl@<>?5-xXl44EbtHN8Yj7r+J6whffhCiU9Q1rvT!eE6qqxD&WC{NmYTtXg0En8yr=}tO&trS7RpmF} zm4iOSkheF&p*0^;{Kzkz%|K8Q{Z5Ub0pn818f8dO2Z(;g6L=R>%s*bN?Ecy!x04*X zJ~yLj(YU3t@v#Ih+f8G6|K>o6oThpgg;KcB7u{-|Z!0-I?DD~R=h7DTUM}}~*L?x2 z#~f`_w99r|T!csB9MikdVOx{FE@#Ibd7vzPR;Uc0M@=0Z&#zhLW&yD5f8!s$-yg}D z`15IuLN;VTcpeL^5P&cy)Em1tby%qDy_X$!o4H_6GX?W0sU5{Gp(~6Tgd-2JlHS6z zq0oHM78NAiE$jba(d6!?1zqlIe{F6@c)m?u52=}_ihpo4lLROP&QO;Sy^|q?rb-fC3u?Hum6}s)Tmt{n3h{6Sd{7)xQHHS!S%gy8ZU&)D*t)a|wNOZ$`f=!i|Ni>o z!3?37a%L9klEJSXt3OyDo8)`&^$AeAA6X_>bdmEw?6{i}Yo5Di2$~{3=t~y}yxZp4 zxoj2h!xhm=u&n(4v;?VJRf(n+^c1LimCvDbfEe!M*<4ZLuIQS(aD_^ClPjaT0y2u{p+(<*hh?%h%(_ zK#dOnhyax5Z8}}xp2j=G*;58Nz;x)LbTgGUW>?McY-p>E25LQQBjC%U> zM%^=QTm=pXCbK=zY1vHA*;G3|)tJCu9-V8Dr{89Jn`!D*yp+F`t|$BthDSB>Rs2s+ zZPgOX!V$mKC-+a(zw>0(LJ;D=ruj%HIB|Rsy+T_+hf_6Qjdn-4M(g+BX!QLU&dYob zTY(fG%8A@n(HO;B4(^NR6WB5S^L;1hZ~gO@f7(dGGtW<2Ykj(DLA1sfQ%L&WP`<%{ z0Yc0O)&&#mvRFbG95)zsGQIadoZmYjTYgj_KWb;&l2R{7DSjeQr!0QTl*B?8;c7BP z720x2N={`-XZ_B*VPy(!#u6j8@Cpe)il?1c<5QdFlVbxmm!4whdzVV6-<=bm@JUPv z*na4&(xb8K}*;B3G0 z%6Yo^-@om)2Obx`rMD+hQ@DkCi#iSk>NwusJ*@e>N22Dx zonqnruw*?;pna+wO2w5>%jvD@TavZq^rY-c>HB6k+N8O+$ApOAu5)oZd-O*-2pwt^oc0$s$ehCgF^23VTTP8AltR8*&y@ zX{3Sf@nyAAuLnCzB98C!h)-v0ObGJrxV|e`eXmX}?F@SmP`Pkq)tk}a4{#7otu~VQ+i4YY*KcJ@` zf=7@mnTkFSK1|$ss=)5_=PlK_x8`Huw8yDd!aYt?fK&#)0<(F|iDfE1n>?v01h44d z2Wq#&*Oc4T9$$*Q3xl2jJBJW?`AoP)+xs`TvEV5j`ClET-h+hXJDtW*g>m$_rKTtyg+W9LQRHvN%fB< zwg}ZRZ_z`aN8%2ugfmIWXlrk?}X-m{v@I0SmU z?iT@oLMxczO-(N~wV}#1bz81VH8upLTQ6Ex%2I~l2R1@ozexcHh$M1aACKc?DwbV6 z?puFBKYF`#L7U_f@;ZH~c+gu4LMXE5s+W=Y52u5qh4Uh-5;6tsMM^f=?L6NdpqBO*+v+=?4;;Qq< zO5d?>(xm&yk4(g$neRl&W~{Q=V!I+cu?a`!Z~|M~2Ku1RTp*it${|M_{{1}^6aP|l zqsXiKYe5wp))f_G!x%wU?|-rYF0@+M<qQ{w`ezR;XuXcRGlEj- zJrJhYv9mija`6^MNF&d{{o`tFl^$KT>>nNyfjEyKRK%14g@VrweM}>od3JkU`wdw154l}2Th+A32y-zT&N$i4k5(th4d*~>pKcBZ#rz!x)e$@xayog3zro17Sh z4_m2sCTc}db1WZ}+>C^~bgj^j@#$yP3Z~^!XR%ObVf`HpgoE0R&nHeFd-44E0C)B< zjVM_AP8$n)6f>P&1`?WA(BeGpbf2V74}Y!Uf?|PUQ4lD?oU0NcUpT*pv2jcr5rgVW7ji>ZjPw{= z09}|c@xBHM&xf|1h__r<;lbOq+6kp6z!Rh zak@|q(|V<7k>YuHHcGvBDwHp&CV!jj&QYy!+`+-0x3f`5kH5Jm@?lXu)|*E87xMO% z>FoZr@B^JP8~GuGhZte780f!AgQHB6E|7KC&ecmY$HJ=?OPON5Sa@+OxDNJpI!mhe8s!VE8o>vVW zDLkZzK&(EdtJ0jn5oAfUS{utL;JK0sQ9pnt@r9g)paR(*m;RNw3oHo>scyh;qdi&Ueddl z6GS9FX$2Zt9Q#Ft!&^9nF`~z6N&}1Y7ll7eF@OLJAM;m#1#b5V5wHn!P~I~ zp&O_>{Rt=6$rYknGe4aEnVE3~wisT{wlYUs4@%kAf}h6UL2F>AF>eSn7yL2`k>lP~ z%H?`FodpY9Am%XZ!pTal5IgAe9$SakZJWAS=1>70+bL@;zRTdLKh!h!728;-pHM)K z60cIB$O#o2j?VvrHYY?L*fGV;J-r?TNu-{{A;NM?EXr;Qf(tPM`~g)%tT~3{>%}b= z)?h%!QB*V!WnrT?M6PO=WwHSLR98s(rD%XQ#bUEeT~G4*VNlFa?7$!3O91;&iIkN7 z4S@yKIgtF1iZ#i!8Q}au@sDxy#CzfiWoQ1VQ6D%sT)gYUK2RL1}Qe!8lCUuDg@ z(Dkhz*?kX6*3Sk=%0&W8qjfiitY7# zS|aE%cYJtU`_jp(igde#%Q0SLQgHV6Kgo4@x4)PiBZc>|)gs{YO~G9@{A!&?KkZR!982U0^cF{&Z~jzY+)mifl<-j` z3We66@JaEvr^H1E^Q}NE;&IrVrn;#A(Hev$iT;;B456MqC0l;q(JnHxKqV!o2im)A z2@3>zB-7iKj^xjBf{+1#SYN=i?KcPZ2Ns6FMfH!ee44xf3CeS%(YX(HNWUx{#yYCa zz0rDBbeKho@BIyFSo(sxqv}@??{kUsl5f^7tzPz_U z?(cqu9~GEdb`U4#LBWre^vx_IMB6MX=p1m@ti1h`5b0?Fe^C8^dxa@-eZlGi!!%Wh z>TnMHLOBBY%y-6fA3afIUZ4SAWIm!+-54175ZeevSF_&xQWQo9AMubGn@NY^3m#m$ zM_7UIEgLIF;teZh$-lEdt;wfG-snS0F_*K%JaU=W48o|g5E37Fl zexM%cm+P?W*e@%rt&(-egFq1_9CjEq)o>TL6j#~txmn$UL`Zl#-5UR z*Z~btbX}lpktV87Kn2416yyrcm7^=zmeiI+mQerEZL5}imL!(2AL7;^%Me1%B#m%% z_Vc}PqOqDUu3@tHTtq{Ol!MihHOQ1rnFetv?)h@vlw&9v43&Ix8ndQrASFZYsLvQa=k&x5{9vkjk<6^pWHP87tNU<<#jYv znbf(9aSU~ix?wq%gfg$xG5)z_n3hZzD7^msX3Hfi57UBWBt(qgCYjsFr~$B(UaklT zGvK;~>r*jyCsP=hU>vuZo*4}lZ2tB?E#}T`S?wGLf8*?6&X>;<+dwZBNo|=5OQa&R zqKgRQM7WHziA-WDXc_lfJJdiHfY^0~_ymDBepGuYnQZ$AU;_cmAMqMRnoqn|IN za~5cmttM`bMh{(>n++McGkmb4wQi_r&0YN68-%W1mvG?TRPjH;nShV&IOWU&^E6^i zN9yQlA(pw=hwCN^d^ovaLCC^_V3`F4scH>)@R}j$Krd1guI5t9g8NbUw!nfWY|Giz zU^SSQxYY<*gGv!08%d{c{u0CEmC zqok%mO-#iVmW;4C=~~2oe2uyG*T##|jMb)Jk@DM7S%|93wgz14Twi~sZ8ioGGkWbp z3yORQbnWRE3);vfRE5%n84FjZFsWX_(j~acSh&Lb9Um+ zT(o7eA1e2gH68;%RAKj8K|nw}vrP<54Gj&Ac=`5x#Y}norZph#-64_MjeS>sihqB9 z=LIGGfge6HG&BY|0|7Dp1-ts6eN0|v`}_MRZU}#JVq*uAj0alLfcU^b%>26_t1e@M zCWKV$^}rjGMH`OJ2Cgn8n@k&34ir1CC+LYJfQuyA7b6L#aIyZt{z4om>XYuSQDaf# z+igy&mf^4L>g?QEPMTV@*f)4fqu{ah)-Rb*R5{YA;H^=x4L}?7bWTJM#gafp<|CtL8URQHJHfb(q8bfIkzRjPi8E zbMR8VCO%i53l-dWqL7W)!85X@iGZepxh#AXr{ft}G->vWSuNRN5^Sw(N`&AoGqn9r zW?ij-z1>BhXKWad5}>P%oBA zee$ustjIrTy}3#J#9{C~Y)5W=Y{|Lsq2}=SZQL~v=p;qh+u$8)mV&;8?DObZjaP?d zlSB6~;@#)mi!BFgbrwVU_U8reVvKW{6N?`>pSwu^2S(U{NFC~>B%(N9H}Y74d)g)3 zZJyx0)xE9r9{sy>F>AL-$z3zT{X(7kOKIbUt*QE8b(Ac`mrjq_)4BW?`0gpA#!?^R zkwYi?Y|@*RgA1-ktcN#ujrZ5qnNnSaRw&rL)@L3|>%ge;r`OcE3{eEXz}`L0uWR9$ zs+ecrFX_+T8gJ`TsFpW^kRx`87d^oqHBq`g#R&IletSSyj9WiXNXv@G^Ckpvi9n&I z4$vcKCa%>x*Oa_^sk>$?m=jV1}dKxp*&ViPG*)QjrQ0uzjuF1Jv zXGJC_;B;)tT=x;mtF7=;xK9G%(raUopur&}_j*-Cr>VT}>l7Yvy|L{Je$yw0GAkws z({puNd#LNzjcUrfjpn^`&F~20d+V89lIo*6Yk@bmJ9{8c-w}?4V>K=O$21DbnD_uG zx`U<3DoZZ>w^kZ?h1vH@zsRmWeMk51_3XW$ z{6b#f#CIbAjt z6P>vW21pQAs1%~f%33&g=J&z!b^+caq?CVV3j*9fQAU+`x8@}IG0l)>+R6Fti~k1A0lx}g3RIM5(;_7glACnP7_}~@6adqq0^mZA6_}&IxmpA;=6qmVEhr4nnmS-`F-5tm1q#+j|T$?PMrAf4f?AwxMiXNosq8}vUMXb zO`+a0>pD>$lj&N#?|pz-XI2J@AsF-4AGtIctJG(tjw|X1J|rzDx6bg_HqON@584r< zZc|Lq_EOpBkDkrB*Ct?F95?v3fxF_~cBU9v>67Lk8?xJUOB=z2I$RMtdpWW@?E7s4 zRz7b!7l9HmnI44>nA{#J4u~vU5rpqI)&d{OrzugpP&YRq+=%-DI2Ppa{1HI6NbZOV z7w~^1K$(ciykWeO6D3!?kO0V*xT0^)d!C>bR9=OJ1JZMfd0!X>`KADzz8Szf_T3C~ znXIct;U1pN3BZlOVRmTmN3U+a1V(og!1vEuG_X4~b@D>*III1~NmaGMP};d=`%K4p z_yPRB1M`8-@OGgG!g<>(#&uv95$5idQ|kA=?2g4XXfLnm;xA{ydwjlu2#OnDX@CBm z6P0spi+!#h{kf(v3&y2fMW^`Xc_EpyySuzem+avva!P373*kzO% zl_qADVt-W;Q=It8RE7v|s-@)V&Q^_Q!@4(ySBYEcx6a~{oy=xa2p%K;wjYhRLrr=r z77@>iBZKV3){V2?f=e;$Lo@GGbC8v0RKa-^SP_sOL=)`tW?($rhr}C{%F=MY@l1lx zHMwQV;v%(cmeSo`3ck-X3-R*wmleSZnow{;6?L)nx(bQ>1kkf=1LpV?$&=d&9N#JN zkT#PDdb&ZFdgd2!uipR;g!@BtTbKl&Yq0T2rwVmnRLo$2S7@2RsvD@tE+Kwr2f|e81 zE+oC^^0xGLvMDEMoV3PPxY<;up%>MRqbW0p9*sgXbiaTc%6nWs6u>0DDT?#%zDM^< zh)WBOgN6$R%B>l^?#f*+M$b90FYcN2Lvr5_mcU-jgn7qtHvRI#VQd#aI|3gl6Qly; z=ds|hid)~BrR{SQz<~EW=pexLp5a05jgbFJ^ock~2EP;0Z}f&|#DG67vF97}hW)@h zW2^9wR74!uvp97M*E8dsI;kB;w{2;6uscO&$Bo==Vl=lyuYwL=8lCv-==e5ZFR zy!huiUgZs5Qt=-RU1QtKdIbboKn$bhhxrV3AJTRgj%B^?yMef*`D&QH_A62X}V0M)&MAU{=7&Be%INeD`-&=u28+3{x3agKlm6|5oa`0x?IBu!8}8&wv||)m$zgk@UH3RJ<@01ORv*&UQkbKZ zZfy{tOt4F&Jx3=#pY~UA&gvR}OT30%#Xtzm^tUHcX(ijzM!xP7WCy{w+cyKNn2&qT zcNFx8dVwhWAp8I`>&bKdul$mGigY4>2IPmV;MC7hI5-4DelQSxN>I6fxnfGvt~II< z+GyW)v7Ak@;kwz^R<2@y`;CGj<-SRPrt(_rwGn1Hl`JVH!fg zZp`inHE_ZK2MQC^24OkLV-AbskJp)Xi26(3u#nfWG2BUnzb~fiV$i#^n2v}7beKx+ z1lsxor7CUR((g;o&WoEq=slB!NlQ#ikGxR3$aC@ytiRrm4@;Gf`0*F6 z2Rn6_6BSmEXX&E2NVFqL?KGOhnypc<6EAf|rP`0X;wmy!tPo7orDiHVlDfB8)wZs14g`Y`>YFE8D+t!j+#PKjUg{YS{_IVdIx7*Li&5~fuqR0}m zzAGQmTp66he@C8Tn*nY3D&PF|^*Q6OM^3**Z@4PFG*A}3z6qH=LB+^39&TZ0qt}o< zv;8z6To1+@-PAISDX=w5+oqD&QnP6l3^Ou%8n;{7Qt4ue7$>LxUGW)DOnrV+Q}yu~ zmBml8#~&{K@(ZNfz1w~c8dOxWpM3%^IG728XeIX2dU>7nZYF1`OEnd^%55d~kl?|r zrbMt@<3mVj`9Fske-zcjr4GSpLgNmM)xpM!UhllAr@tXx~~U`uE&^(fCUJ*|D+F>0Vub_ z(MQk#q}yR?!)*ZC?Fh9IxB&5XX!~#-fOaQlMw zLhlAU40!;$ZunmKKS2C{3Ir1lDFDiDSYEh3e)vQ81se=G0NQRKKM?#80|EsG^8m9q zm@hOR@LveufdPYkfZZFy7lu+Kq(6+Y*i*&`_Z9e#KVdb8jqnDPbi*f|AZmwW9Zj~t zIYy=(UABI-4c9o@Y(egZZtlCc^IZkaTm^US+qd&v1^Mjjw{u*DyzgVhnLtl! z3W3R0?}N+l`?m`a1VZf#c`_0NS2@CzIYC<7D)Pc1j{Ulkb9hyV;bA#OM^}k_s)b)6cL5H!@E`bJ1pi*tu)tp4EyIh(2ksaCchL86z+T_2z>9%2G7^eXCUbHL-jP)# zjB2qFPJxp4zZG|gn&MbXlZ{aJl4(nqjo{Ye8cUmv@Ey_31@~sYOF^Cm`DT_&;jRVy zW}ZtSp9TG9j!TjE1*}+=-+xt!Lu4x#z~vVFn+5O%p%#Q(8S#ayETc-T!p%<=xnmH@ zegP%9qvA?UfSTNKab>7LQSRUJr7A#G?pXOU7N9J5^h~J>P`7g4%Ty@`XNgpd&RQkH z_Marcxm?1}d7_BzP(_efj8)>kSunaeb*2m!DBKxIUn&Ds?u?-?qX9~HM%9+u0JS^g zYRhne;+?4oAQcgO!-c<^e;jOAp@-*WH(wHowq-r4&E}|dwA5}^t$+IJb}32PSEayTxbHfb z@3pcNI6&mMj$Kyp&X!uIqLzwul`Ztzutj8D`R?w8!<|6o*d9uyG`zcc6acwajBAYE z;U$>L%BmSps#5EM<@Hlh6oBoq_MJzXmp>dzPu;e9VPITpQ6E)fS5=neh_Mzf|DBY) z#kE&CI#btGv20oVz$`wm-JF)0Z~Cwwy}$HNx6|Z1(m74tM11X7oZ2WjT8lL<#~9R> zSih9ljNH6;XSqOo(dsgAQKi9?&xBt_Ofit%fO6p*q$JkM887nJ=fm-`sDDg`61e8k{}G z`>9v^#``})6gz_nC!#`fF-pL7zinD_@~BO&Hr&-;HY6hwgPf=E>z}Dv{lVdNssh0F zy~uE~+JE(Y7O0nMzVfYJdwB@!iqcsR)DDx}4^K}Te(nE4A-r||;ZsxDLNbQEa+zmm924D!y}qE`j0(cw%8g>VjGXG;^1eHX19qvnK|DWGdK8c;mYF~m^km2)N0G# z+acU}PYg(|{q}wgT&0F;lYKVrSRjl7lNxi@9^vdHWg?@vcaFqzy6{h%&cHL9i4I0^ zunBdDzvHr9I&{JlzVJ_-=$SEYuwxP7yA?vg4<$dSM|^QS>cupPrVuR(napy9y@iF& z*m3l)U$td+VLy|BqiP&^Sr`Z9m_Yn-#`>yUkNa}-cG~HjZ7dSkG6IELDI8(8bQPDi z->SP6)om(@U@EphzTquVyJbk4Yq$<6@~4ehvUCsYYDLX`=Y(f>B2;}2z7bE!i$%n3 zSG^`2y*!wcqk|%&^;%qCdxm+4;CJSFXCtSu;x8C2>3D^aJLB&)eeU{WRiT+Ob&DeR zb*I`{|G{yg)xF5QO+9pX&p~$!%Ki4k`{t-sMGw{RX&VmCDT&xCq{;E~y>p(jCZx9f;keo|<~ zil$7BWv7x}^->yY{Ab&MC zA-*>H_b7*h`X`Tzw!zGC_{SwFmVX8BH?Qx_6Fpe6KXXQc5g>dSC)2|FIpOG_Llzjy zAr$P53h7~iWY=cF1Pr8$`&G+jxo3wPc;~!T87GXG?<5SnD0jz}TahBLT^$)GEXNmS zTvo5fSW%e6bzGAxBRu$loav+!B)xs7kP;2VL6V&p()C6fr8XsJrcP4kRFKHKlD)mH zW36##Qqcxkl!!j_8!gW6t=5$C`OF1)2f#OTy04qFwZB$z2qO;t&twuT~;5c*ENEE=ZfA)zq*8CZ8#0$}| zor^Y6snM;KG=gJrW{*Ad{?(bJZ6$y=Y{*8|KT-!_@pPpp&x8KY|ZxgYgGfzq(Ts9l~Usv*3=Q|~qX4|Ok4XkqnWEbrn~>>AO|v9ZsgUe*QZ5OCj3PM> z-8;ci^6--vmFzz01Gd}o;Wf#`_5Gks8WA$8zsiy7sNra(XlhjC#pzRGe(!U)Y9_ub zE1dDNFqVz9dZ2PJmdb)jKQhtg4oy4Nv7?dQtWt_8Wt61MvvAVlsKnHwpsB!F`N_k0 z@iFJx14n6;v6O!r>mnTlW3Ad`5iGU7pG)U0YM`u37CmX*QjNW-B- z!1H4e7ZZ^~5SNzA!WcIu+NT&}ucK{65&jgGHL9m-$4VtL|5vc?zk|>Q;#x>%Ldg)s1dM-!%YPPQiF<5k9X{l5jPOl+jaRu*E8bLP8QGBqUD665Mi zu%~&7yewF+|5wyQ{C>uAM{Am=%FBZ7y81Y0xw|RTL;ZdxN`;*5w3<9;xwt9QRXu6O SdSQM28?+M|D(2r_;{O0|uQ74} diff --git a/demos/streaming_asr_server/web/static/fonts/fontawesome-webfont.woff2 b/demos/streaming_asr_server/web/static/fonts/fontawesome-webfont.woff2 deleted file mode 100644 index 4d13fc60404b91e398a37200c4a77b645cfd9586..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 77160 zcmV(81_!itTT%&fM`8Do zgetlXfhX-f>pHa>CezJ5a+CKJB5E?t-D3Q@I zv;Az_{%F*wqQWVk+*x^)@=9sx>ldws&U_`?fwx|)6i0%hGq@6No|Wjj+Lhc2#LbXI zik@&>S#lthOy5xS4viawbfqcF5t#22r#4c;ULsQqOn&iMQrAORQWXh`G=YxhM*4YN zTfgWxZlU6?d>wP(yNq!jqfNVxB}>Ww7cSen4lE1$g!lMN&~*PN_7ITCO&u%|6=U~^ zD`NV@*N5j%{d4(V*d&F9*Lp4o^=-wV4E$&&XJX#);dbqZ^8pUYCyEa?qdKs=!}D|N zZKGn0G1#bWFe1l-8nC}AR*a~P9;0KUBrGsNR8Um3F%kp&^sGD!?K|!B(qItgwkPpO z4nOg8&Z#<)4^Bj%sQjrANfD$Zj098^i(7$$Vl;{o&HR7r?C&hE&b-&}y`y4mHj%mu zNlfW!ecOyC;56fuZ7e6t7R&P^z1O9)e^Pe=qGENxwk%7Q3&sYU;&zJz+X!u6Ex^F$ zTu6(Z`;JIR{;Knn>IcTcKbV%&ZSxB`P>8MADLLm#sD>oQy@;IWvGh3j=*Qa5&VIQ& z#BvplZofSw5gN50lul%1ZW|#duBPzgJG1nxIGMaB*-obI9wC1%7zRoi%C^%k;Mn?+ z?pUuq3@j1^4v?E3B49cgqW>EY2?-#3jqje^;JgycOCcwp0HG~LNR*rji6bO_n_6Fl zxt$OawF6EyR#iAg$gdotjwKXO)cf75+S~gE2n>cpa0mh<1W_5Hw7c36opP+~qRPFS z?z(HcYuX#9GugKj(K=EQB_0sAfiipahu*36k{xIzyD2!y5%vK1@c|DQ3Q0^$kT!Po zBklXM?*0ZWJJ6;!hoDZHGR|mrw+{{o{_lUy{_6}+Pm!l|BNl}Q;&@bv@2Wy(0-c_O zab6Z9oUWgiKYRW)Vv0%P;3X|rT9E6xVx&Q%6AWJDG0oX-H5vJ?>5A8;PEnm%C;H~y z%@URb{E<@x+!!CGA#@@j24G?{>Gvg*2lVeVHM;^7(Pnl#tDV)(Y|gCiIh;CbXJ$WV za+~#V|9GDufDe2U{2(L>iu$ z&FbBmZ9gV+TlVF2nNyNeYL2HloUh~eKdpS)>J9Pm#Xd(4%myqFVno%qUa9n|Ua803 z8#-)?GmgDZL7HHzH4B_FHnRat`EXP62|?edFIDRb!q%9yytA|?Ib5`-)rNGqg%GbH z-}d(Uw;KH$fouQgEh;fvK+gfZPMGsl{cktu>gD1?zL z`z7_05U{qkjReFC1qI#x+jpODe!iG=?eIufIBbyAS`i6yq~pK;J!P{R?B6jf<_85Y z$&N8sKi05v?h+0-IZ#Z-(g8koZ#f{v7%?Dp!%F^s91LTw|BvSLb7Oj@878i9HK*kSp)6{%ZXlv-PQ)RD zE`x4f_xM$H9{@mn{1`uWwLbR;xgELO9FcMuRbkvnQXmT&j}ZE~*Z9?u0F(1c4Md6G z%ZpLJy?$`%3V_^=J3F{;`T31Z7#Ad=bomK731~(`S)uLTR8OErP908ueHZaDB4D$q z{GZri&j-sW%|A#W5to*SAH-ai&E<86{%v3LDwPh%=3Mm7wrS#iOV1$&8oKgshx_jMlowl4ED4$f#L1!t6C1g9p~=ODPt z5-F*yQZ*RmNQ`~4r~k{Ouxs3@+Z>Q5N}1kIzW_;y+Y`2(U+=Sj1(9)2Vkg!}$DaT~ zSw&5w0~|KUc7%a7st`^}4doR9Pl!$j8b%9FcqlQFIssg|->XC5YmQ@}VmJj+^a&GW z;TT&?6ewkE94j()E$+}^)|h0Xjx{@?P9)U!BBDsDj}WU31 zAtcV{=d|bI-bs8=m>_-=CKKcXWW_GX0~^$^=>jcb2lM)283`*Z!V{7?x-M-}_~|s` zV|lNhxg(2J)xt(s?g(|g4crMAX)o}cuastffHd9kY=i3#SX1;l!-O06F-4v5y)!_N z{n~32h};!G7bhd5ytZSkz1eQ+sUW)X74K7DJFF%9?n#Q!!7ID?F7r$p*h2z%vFq+0 z9=`hOhOu`E+Rawmf`Ea#sNtl*!}&#cW`0Ouz3DI?ydh+i=s;0>PiQfT7Zu*A>rw!Z2oWMZdTlLANQLT4}czIhYZic*axDrD;QpTldic#?)QnYZQ#V&@GPdWKu$ce zkR96D(D?F+uOEL7E{&8{@#anN+7VOiE7M#=o-3l-Qlfm(Hnj`lCvjX<;N1eImGc}P zIfq1q23S0QB<*mCfZhipyXl3dlKdo_(zgrVEctLByL0)aRMXBH-Ttp)yZ_WqYe|tF zU*@4;)#eID=!hTcSCgMs|CA-!(RT=~eyOCyMAVSk!pq$%^Rswq@*cQ(TXI^ehX9#d zQzf)Vo7@<4U`9OSg`E*=es@n8G*SbT@I9!qVekl|qYka=BE@A6$s=C?(x-c+DlyNW} z6eaQe@Drh#XmE?Ex(!VKoZcdgD?X0w=CviN3tmmjikMECbJNHMagMY-l@hQIzV7AZ zriQRf5j1k=Eh_KlCFt5{BiAK6a8T){lxWsNJ@?M~+S(158s#PwDXC&%gvLuu_&~q; zp5%18A)_>(Gy@` zHu}fy7?5gdqUqRaZ9G+VYFVjT`f3hBTtJLx%QHo4W^k7Hn4dbj+U@EPSKG&~pSs!K zvyPmU&Tyr~vom3Dulo^!F^FVgi})a%1Gn9)rTvJRN`lw2KOkz(aW}5MO~dBSW@edL zwPwp4)N=wJup1;S7@U)OkZj2gQGo~o4#o=@iYEeNjFZoLvW2r$?(LKzQYnI52$jlzP&K3-Fs?@ z8TYz{a*Ip6o|)y)qHif|*~IjRGj3tOR55>Cr^87ZMJVZQz4x-c--DZz!bJ3J`mBFt zv$MzMB*TT@cUYc?%vG%XC_t5juJ=v#VIpp<4lLvW$%%|VH?JfU3&D=q@FkudiARUh(d2N+ zWLd~2X5t4S?fb`JHk6Khs0b;)4m))>Bf>MuG>~md#IxJ@3UBxJiBI@&t;m6*b~tLF z>Y4m_C`-#PTHIv21B#D$$;E^HZ8uiYUtFhV*G%O%3~-xR^LiE@?1e}-zAdW`mbEM> zF-u5dt!0p?EOIRw9HXESaG^}g@5b$*Gd<>1m;%N!sdSMt*}PbmYdWd4wf_iOfHlC+ za|MYGa1MylQ*%_SxCI*3>pCu7wYNkflt8fcEw)9s%#j8m5R?-^jqs5&y2-XJ@J1PZ zvCEQxGD63Ll8sRsnbjBI1u1mJ!>4@OBQ%73++6qLsDSXuV7F#t5G=NzBh&|HiRm#q z*)7%le!&>OD#^0421Im4)tJOE2i~}o^A-DsEaeX+t0KZ z{sQInfSneVRDtp{f^<>g*rTZi2sAuCI!Z9Zh$ZFSky>G5VCcOA>UPbn{DxunR4-Zq z0{Rr3Vcwm`(344N37c0jkQV&${exerkPtp8!}^!LNFtPq`QzzulIshDd^c?rMzvmA z&&_^jixC$vO7ZGm0Le*_7u+*exgqHorQCbdJY~!;JgCi-!q5HtGLD2^A9dP#_`PVfh~Qf+*{6POoKUi6l2P%*Hl&QKAyfLqkaIKd`D8JY1@={Zhq*1zZjQU5-VVG9EdQhh(N}S^W*!YLJe?QZ~`l?e_yw z5+Rt%0P61dAXbLEnF=K$2o+w?V3$raPx6eS5Bi3KtXuINb~@n7ggV*iUfP^;*T3fx zK(YWg|IErMMW^{br`nI~*hvLG+;Qa(JTE9Xz2mD|`K zWkMsBLSxbz*}wwmYD`=a5~IW|zFKINTi5zYJdLXS5AlQ;aj16QewJ%pn@7XW)l@{k zKU1m8+14)_#x2y>CEb#Vl-cMv42b@BrfGab7RyPY#BuR=W2k^v0h<(f44SbZ&kQd& z1c7+0f=Eva?9UId@{fgyyLhy>XLZ>Hs_gVQ>JLK39^$?US5+# zF8FwgP0>wLKjyriCrA1t{C?ppovgaV>1c~smv@h!4uR$(`2`$DeE7c~B> zpO)wsEU7ZQ#)-uJ6()96NKJ8Y@H7-Z0#aPGy|SvlSYbSo*fbFCmK;D$X{<=pL|?w> z37bU`XR6OqiFvV2n$yv2RQ}kYO5LsvtCo2WW6I7VnMg|XEFd+Y{o1b`B?Ku6B<2+= z&U7;n*3GsPjMqSY02HvKv_gCJS?}VwnX)lP$9Q?8>7cln_TCYaRXg*#;^hb%1uH+IT+qbi5QUIEkAPwUL- zZcK{joDF?6iF-BK80ny(qch>Bj2#sVh;E9olq4i9E2BhC2h@ZuNbOcWnAb?Aj+ol{ zPjg%dw*~)|Ezvu`S2h4n_?1nG-8izHMroCi)H}Y7r8gOC^D?nEB?8ux%nux4T`W2w zjmomxy+te?pWb^_g#G~wZee%3vH68gXQ75Jt@23+IdVE`poA6wl8hR#JV_HpwK4Eu zBw$Qpa>tT{f!Cet&Rr4Zc;X#7JyIEVCMr=i=zs(;dVe1C%lLUbh~NS0gJ4a3_SBi0 zWKV|KrDg~RR0H=-#?#LMUi65trDJ==U20Be7 z%Xwpj z8rGRuVi>6*eIn2 z4sdTqnx|BWhY_zMYaCA7zUpjza))jPvt-vupa&k7+<6n*ist$5`NN|BwO~KBX%LYryjwYCD`L@BOz&Y#&6yLk zrl09#3<5$~a4xgYhziDTTr}+GvxUZ_irgNJWb6?^#5mb!Oz(fO^4&7G%H z5^GS_GXIRAC_Q6#bn~Jjo?A1S$rmQJt!U~*P6dbvJ-70Rj*C#qoAg1nM--Cz!Y317 z=u#u7#!Wgd*X$9WGk^)j?$&fleixkNGkSM;Ai$K^JD4}R=>kur91A#{$yq51$wX5{ z_^yQCFMy;I)XX=RX%FBGjUjh=$~M62v?QPtjW|Ux>QrIgjQe~*2*&>nXZq^b5AiNL zZOI)6wC_3KIl*(?NODXbHzum22a=JFGaEv41mKQ*TW=5nCK7LT+EZuu)vXw=D|?|q zMZe$WYg*z7q#{n@ie%~;HG`r$nwUvewW8XJl|HLR?P9D;g~!gQW+^ITmZnEFJoC&$ zpqK!kl`d!W6#u8;k_s8NrGXb9K``UKExyy)qZX#Ac7FthR3Nwo1`lL3ODL!o z#aVG+vZ|XXb=~EAEWJ7~DkOX|><)vPi!TI8y2~t+U`4!!=-3qTcu*UzvmX| zU;vxoFY7w$fXLF*)+alS*@;#LhY>_6%d`y63v$W)kPx*5f^bYS(x#$=iQiEsSbWTj#TRZs?$7t8|iN~L%c(PyNt zN>cc8olk|i&vOa$9mc_tq1qTUO?Q~7+#U@N=prKaG!!!T;ppICO~e}UM7l3dA&J#? zf-}{*xAKAEE{qjsE0aKYPnTB6aq63DUe`n4s;NtDuJ@l2EaI^^NCY{ITBxi%Cb)05 zg&!!x67sqr4))=f2=^B;|&U9nAtxK%O?JrH(qLN-KLYGA2ys`5Pbca_F5=9yX0 zI@KWOZ;?E|06C&Ni~*hajz+-M`jaFaJ2KXs*J`w}5c=M_?075|63ZIOft^DH#ZttH zbQl)6uo5JL99BwZ9>Hda#W}|*0Iy-0IZ%nKCgAwd#WqiGzSaX5Y^gk*)brv38S)wL zWOF?u0W-yO7LT=1Ezn{_pw#>#jSuWwImbE(F^wt}}lf1z<$?f+@!t&&enhvFSp|oAa+s9!U zHXe30?GjS`pv=ByF^BCWSWJbRy2A=eiD6-y5fj~pEXMQfgpkY{A~P+|N8}+K%cVH8 zxAHg&eBe|%Q{GUMi~=9Hw)OFF98FTLS>9sw=B0b@E4xqqW!sxF_VU+f1*fUgb*|_4 zRz3PvJ}t!oYhpH4pAwRi(5Y}*;!VBKPpDx3vfLzB=tRMJ8;%jV@j>6aqg%i<1&#b+ zk^D-3Kdxp(KRuW4k%?rmuP94I&g0b4>O%zd6?@oyO6liO1^U`$YEO(w~dfSW-)I*JFbc95RKnhH_Ueo)^V z5O<-H?_2BbD+u?V6s?hlkNW{&D{7-4R^P`fkDgL0;{mp{b)#&5Aruay{_1@GD<`i@ zS^hSgHnz=Q2J4n}WYT?K1Ba~KTmN}=+nAMVj->#wyKf}M<5@kRd1_Le5osxl7MTWO zkkpGzVMHjsSp8MXcS#7V+PhkS79{jH0@}OoIU2e8CV!dMG+M*m)+daUL`I+W-4I(& zUB!OpWEez0R`B*0QI%Jr&CRlbeRfkm!A=eXZTHE;D+5#BaqzefNU;B5|N6>RA@|Ob zujYmt7m3)_czpI-ihZS1NN z{mBusZ?O_Oo54A_*Q29z84jB*6Wst#IvTqXn1FOd0WHRQYg4!CYPDfB?VoaEw10XJ zM*G{lAl|>>gn0kjc8K>kTL8Snq(eBCBR95iHQy_>TsDaOw3GMV`td+(amo3Y-6~SVgFExhSbYQt48O)0=vGOBz@93V1J{b z%hnjMkz5Lb^ba^Q<`P+L@G)XOzkbHOO0N0Xg0Ihy$^3ajb3G!GhUm=0X6-0?ONj*> z_f3DrB8?gdNMPm0cL=p(y+ve&>N;XLt~MwFIj|UsJns<6WB+W8-IyLPg}oO15Nn;A zXX*?`q_n+^0gs7HP%P#UtYbBYu|?p@^*>8)y$gH5q(rM|2sDE3?Nr_ z6;wk|U!eBTYxBbDj4oegyx`H4PD;~E0DDx)A+w4$lWIO__?$4^47wxdhTYj)uj=EM znyJ8s%uB-ov3ip%{vp~EGl-_rGMMKEfwnp}WIi3G1!!q)Mb=!*J@7~jy3`z6D|(ulUfoM`T~yvcgH%qlR3L>cQz}3KH_#K=7el_UiNveh$%U8? z_LGuK4xOlJQHD;H94v&y2_rh?&Qj5;yNIP~_>vbFIhO?$;xT|Nf?1iDP{&TfzW|C{ zCb@Y`IIq*W&G(5WFw0|-!FC7~@WzQ;j=+kc@=CQq%FR2Z@=-e+m0g92{YkVJKEF#;crZ%nQcFJ%ER9s%lZuHyt zzJCQXZKOUpq-8^{@!U>*5UtJX?PJ5B=GmY497K(+_9#(mFzjTf_-f`njzVGrbu~ zIo%B~2+9wdNd~?$Ckbz>{gcoZ5?p1VB{W_&eWQl99s=eyg47Eg{UFjXJqPm>4W7YD z$9-*oALJ8xuo5PzsHx8)k^U}Y)`AIEyYYQx=Stt&>pC^1 z<1Ipzi|(09mqxhhS;O1DqBDH|#e6Brh?)T?##hqzUdF1q6jPRD!uP? zbWjmu@AiW4LERk~L~lO?LlBOkXS8(lwDr(C^0>rF%Uwqug_tr@MLb@WZA&whtoIbB zE8!EYJKqhOTZ^g|%QMT``HvY}F|fSBy?KOoxP^}j7bAZUs@!njJZjWwL(^eq=6+n~ z8%LxAL!~qu?!w+=bz*cNLZC~R!u8OxQEj~wJTO)h@b)gBEo@zQDyI4YXo5}-(Ea; zYM(shM=smh)qbs|w%6;$>GU<*xxL%3UDH z0vH0D^OBr9a`sG=$rh?)7@YIo7tGXb<&x^?G`z4x$kihn?Wt54!tl=`j5ks~^J>k@Dr0)P<4=`SHK z9HqZCbCIW(RVN`J;D75Pe20ytLgS&Ts0!l`bX*&cR3jPU^U~6tO^zfhGHzeRUZ*DYv5=CgnUBb27sKfkX_*_QW8g{ZJrxy%`UQ0*MHZ%`jL5C?){`F! z&C1heYOrD0xYm%Mlg`aWz|)=J6XL61(PaYmoZu*Oee#}dZ#fyd`&CdjdPpQ^urvhm z*}68VQ1kadK;l>pC^5~>n9Trx;doyON_o9|l{4Dr69cU$EWU&B<4x-^ZkyN@g+6xh zPwMoB)w72E_{3`d-x8SCuyV~Y<7PBtbGlz8b|q|+<4fOKPHB=WR`~8S-zT@E#MIz^ z=alPCn@!+HKuGW89YXG6E7SeT?x%L$Rz`6^7@OU(bxT^EXsU2P?CnJ`_xORo0LS5ZqJMxCVbRWeo-#hK z{zFi%iIA{N#Sai5nrc7MZU}T|<(}BnT?3{T;ZumX`1pI_wN=xH1(7Hxv$bO9qbFvM z=4UX|gWc*FmBdU?L8VP}WEBU@DdV#;!@A>HA=Y*PjwWDlg|GfH5>Q(U8=Ya^l!UuA z`@jrShkPR|fU*HMN(H2f3L_iHxXfRx)nrwvq&6c~8APszz?(uMOM~~;e4-k-z`+?7 zfGGlRkkAmSbZh-=1DfW@EUpy$Y!T?8>kso)AM7dJxn-C&fjmLF2(TVpFr4e2U+g#7 z+4k*TetXy?4RKO}&ah^a69N0{Pzn%X8X;zvwD}fTRfDp#XjmKaqHNo}UcvD?D4zpu zpg)quKs{n;XPMnk&6ayDlWEX8k|(r56^l4OXTtD$NJe@v5fJxV4@4v5kU@+YF81KM zB`3Ckcdb1#4>KC1$+)+jS|{?MNO*>ms=Mx+CI?BKk~GjUN$;IXX{4>cn`P*Fl-e82 z)6I{U{cqygw40B6gQ97V*DIRULB6*KLPT`CR2Q|GilRB@t|Z3gvZLw#C-?I9 zy!hb|Fjj~seB&a|1(KNJ>wxs3916gZ*He~34@x1F)sNqi(l*9MHd0)QHWXaHyE(K7 z7cKZ-J*L4?vm!Z3S1w#G4ti~Cddo)5wN>F(8-aiB*r&s{6%BN!A zfXYqSk3jA<$0DOjjri6<$##L%7TK|6qVIW0hR0*(fg#o6fLB0H$oz`;1a}}DIS=m zbyp1H(H}*@XgRD90l;D@8c^gVE|w&ON1VYZKqwZG5%G1S)>4fd>}E_8%j0} z>CWmY4@fF`)8Fw6=$}2#(#%l{FRR_s*mX%Ry$HHIkK6B%!5A!-uyP}Uc?5jE0|so# zJYf39QTYezJ;eLe`Rl1hBpc|f(m|4R>6nc&+U%5MHUVSI^MY5$rR0aBG=BCa?{*tv z8T?`Y(3M|9)vn`N-fV}=sLpm8aiki6a}XqLIP~HXQxETrC1SUhA1v?k|2gmVR&_R2s(seFN2Y%r46JqWZi{zMzO@6d9I)pcW^+TATpWS22)!K7 z{@c%I{Tj3rhq(T^vsRbu&Ze%9K%2Jx;;cHVUtnV^eewPNOqD#*TeOfPRjbx2AAHc} zt-4#2+gs(Qnd`dLr*F8*$-Dx&zg#^>Qus?OAzM6)zDVOgj)gmgIpO%m1%Wz|)Je^w zE56KO{+Rh8zqjowkH|kGk|#&d2je}T?ZiXYJha&VyO4V8#=E9bh(Tco8rT zPe-~LXJF3m-dlc?;6F}7;88&8_{fAd=8#U#frP4_L49h#jzVGc!5lN~#ic3g6~oWV zv^sIRNviD2sp=g0o*CI#Z^KCv z#FxvQ-B_rBq7Gjt0mKsW!!`BC6$k3Nbv~=i32Sh;2_&#wx~G` z(eO_m^%*b>b$6$%N#e-yrUExgrg)Xbt1_?iT*?_%W<73Jkye1Kq|hQGIg_l`b~tzn z`?hTr4-{}gX!g?+=y~FiGlIKtQ3(zuiP@z5*mQMqJp{b_?lasFliFvhEL3A?EU$@}>?(xy?0}JwQH8W)@ zgM%@G>PXH-ueM<_`@adULW)`<8U01d5R+zQxRm%!F$xyv|chrOou44}{FQ zu6YqRf~q96u+ODLO0G^H%4Fs2B8k-be>oiK3g$C0AW6*^ms%)ZC=G0PHVrTJK#p08 zLXKYE*x7xsPgH(6W4>d;@{V2knw5LvDa+k`?zu!b?IaU>6Z`Pq6UTXDmMjv=q=0+& zbV0gTGkOq6NxG|T!|+7LG~A?B1pV4nGi0U@Nzx9T^F)#<4HAstN!zTAE&*ige(75b zE&EHBUNV4MV+@np3f(yUgLS?vS?RQ1T-jfytki+QU-&E97h_7L+8iXKTrxUZSLO`W zV$?#Q?RP!b+FLOvP6MA=R(dp(9y_!AD3@k>PN&3w;8lV1W+;Df)|ucTc-JF?m*BR~ zOsPF17R8HHWkv%j8E+8z^ns8d>p9D}&pP2~Dkoz~<@M#QkC?n$ z&e?ks$b<$?W~FX=nO!(W5x+0$ryG2dx-rUj?F|2CK-5Y)v02RT)wWJ`+B%|S>gH%j ztfKJtZwjIKzq@q2O_0W5goIMejlWX#_i4d8d`{b6P$HnB{fI(9u(`CzAZ=h_p7o2O zI!*lxi_iiR31c$L#i%^U6{h{zleCsq2#-&VQv#A)oq+%)VO&84x^U<84CMIggs<|k zy=BH+=Ey;ktf{G+F3hldr`GGNcZSEmemrDYNoc|SQck^RYZ`Xo=5O44Zl=_nqJ53m z?jA^dWvppdl~<{u*c`_{q0Ag3%_vJcw7Cau9bggfCgx23cwR=Xk^w6xrQHLW>mJ6~ zoLc6EiL#W%j~X5^KVItxMGgd}D4^Y)9{5DysmOKYi5BuUui;d}nD6_L6YasFOjC}# zHczo(ZSUG->j%o24td8i_|W>9e3D++Qxe`w@T9$cDvUBrFU6PyDH+cIXb67yo5J#3 zG40794Me%jg^c&;B&HbEF_T9x&XsSefG`7I4C>qZhx=cAaV){D41BBnVE){<2L>v7 z@O+e}#wYA`9CLORgK8)rap0>`tBHC{KGDrK|BkwuzlaI=96JbeGJ_Pwi(vS%g;$GU z{Zx5S_h+a9Wo0lHhxZH-?es7(>U}TAl)Q~QXj^ng`9!-l)?P)w#v|is_sESpWZ=t+AIf!#G5rs&Syz>JIdC**R%{28T7 z3V@q>j&C4r)}lPRp4ColvW%S&W~ir4e=5v=&{fKhhgb93U!Md&2bOjoJ19Yb8HK3L zy4q61UjHC7w>>t}Ha#-tZtH%1W3Rmx2ar!UlUNLfmEdH$tN}_H)_jlNOi-NOoqi9^ zg{k`SIGQU_MC|n7T(8vT(ya@_ty9AnT&F$vRoQmT4Nc^QnjT{!Vf(8~JI_I`92Py) zsKlD7l)2VxfdNW{PJnQm=uIU-Qee^9h&$N%C=>g=hc&|xSDL-sJ+%mnhFKt;XD#Gj z2zE4q&{%)2*@^mvO4vZ|*FE@S$1}z1{Oo{4vd%e)yV|NLF_6$95=Yw_z4vQ4lC3tBMDGfINUylPM{vLdC8$PvGww3M z#7!FCN}^#}-qt^>V~yZ$FrFzti)i5lP8Wc{b)L^3ngy~Q{tIn0A4raVvcVtQ$}w_8 z{3pGv*4Hunp5VvTf00XaophUX0ZP&+jLmekkfXZY#_;M=VNVsAyL*H&%BP~bR*Q}dWg0oT^8Hb z+8?1G&z0BSPn^-$hiXOPI+G&__cnoUIy{k1=Mc@&b;oJ3rj6kk$$N!*-WU(H*D=bT zr0V|Tqw7^x$?|Od3@g!L!cOqQSF7ZW$!NRFDNm;|d2K~(*`%*Q*3~y3q@}A_QE>1T z_6D(LLad5BIEtTzyE_8L9|e!)^p^N1XG>BwZkhJX2IjpB!BjvAu5P?4wikmTJr-d# ze~F%~qM?I`uv&gYSC`RHUPM?eSZ1ec==@HA#jy~*aWwx=5(dFZKo$AuQ_>Rp!25mj zSZFWpKHMx~mgDF1I61Y+^zJP>M|=fW1(A{|-QHr~ANxVa>i9KBlioZk*_GScI>eu& z1|bw(XKH?{PY2&7|BF?JPV1t%IM>@CuK1MYhZAS<3|$8;R~lD;C|B%GHu9HNvEw0;77(X?22w1IM z%aiOB(=+-KA2<0vs~0Nfhj)MhXFr;#l`0{U>G=9ec~qi63stjc&eM9u(Mj>TmCs)n zqy~jI(kAj;bc_&x@JKEnS@BxtC^T6o>twE#!UOw>4wdD*?dko{h9uAd6M2~^-V^XtQB8iDT>SuRV5`lF@KVqR6BpM!C7IOSK==Vpw&g(pxj3)fUkzqW=b~T@qFwtEZ zW+hV>@`(tZVIO~PD)HCr*ovK<9kXxHykgqU{en1fN;#jwg4p7qn!+cTEpyI5hH}vG z>x6~8sZ_AKr9oJMqy|Y0(OfufU3-I1W($>IBOJ=s6IioUUS_%(HTTpfCmY%9#O%-* z7Wh}nGS9alcExi=;#_~8?TAqrbG4o*nahwsLFg1}QWPF4TIl>4u;pQqh|II-98+uo z(Uzi8j9bgxoMgNzDV@owyPUubP~^g*#Jxy#7^83fyfvKkIEl$Fgu-3GXv3c-G_7y!TzN53|0z0QrgQ7caCIUODsHrJxMO^Wb*kGR?`kWpC;A=J&>1(h7!{7l6brcI(kLf%V{TT2<75-6 z8&zYT427ft`=>CKA>vVv&c z>9c-_$@t1_qhpRP6z0#+ww!e6an%ezStolEC*FwaLF8jo@%>hTO&IniscS@-4Xk^{ zrtKJ5&7a4q|Ll#BJS?d+UDhcz~oPM2|KSxUs4*+p8fP(ywu!Bkt8%c6sw78 zWyNMQf4$PiP-wJBw)J zFrI&zxy$w&L>{f?;zPdE1W50pp&X*=#w>q9Fo{|y964+OygHpN!b_)=H+o!D;6hCIj zaWcvUbE@H&Wtj%YJiK-AP$vs@i<*4hd0{uunqN#iOC>hj6>gO$NE&}#blRdD+`i|#RqLfDYEs|E;WZS(Jd4JuKXL$d|7$*@si*w5&^NgZ;jfd9P&&PAfyK0 z@-#u^rMW!<3dHgDRD+nfKzz(tB&HQ<8g4F2+(~@yQiKAa_dwrJf`{u|5QPP|UW&x-B%aYvU?T(iBW85A*9V0nld}B|2ByRyeWvN&^j9@JKZ@!Qbsb8_^ zONlcJ=M0REj)N6&mU~$eu?2^f;T}P5TkRP+t4-So4XIQpAtJu020vP`T?2z@1x3Vd zvJ1qX!amg}mWG+-dq>E0of@wos@EzJey05Ent8dE>tKl|t3mre*_a~%{M0D|w-9f} zC?w+bfEz#g9_ATATsZS!`bnjtFS^eH6s zdY{~Fa>v+oy@j+DD2O^9u(yLph#W_UVr5pQccN(|L%vTj^!N}UkkH#>=UUua>^w(f zJbJADK(RUlt4b}v)x_UlVCbm>IDnyO(zDGhZ+jkL3o0&`h0 z@{No_wWBu{*EDzEFzZK`(=~~~dX2&bK`()oMNe|h|4Dlo1x#xHR(r?t-E^1H#SqLUK8XTlHbx)yx-zJV%;W zKH0>$zqd^jvt0{Zv#3t^*dDNRu~*%VWSum|q z51|7P!|^AB8yP?XE}H1sStdAo3W_XgHx(MPwWI3&GkMs-JB@+sRef+T-$|bg0qg$@ zcvks%*4}As_(r{2#p-68|I7JkSlVNUnAGeZE@BMm>Ov~4d?vr*k9=pVw`DKNYshuG z{&rknNQbtbo??Qa3K@Uo4zmWL7IK@zzE~4tS9XEc*vZt)r;Y|JJv<;-Pq|0 z%OO{|+~4Q~2Y_nK%zLWsoY`7QB;R_zdr#gJaIYRa=XjEGnV2kj4}%4b7WKja_3cjMco6HoZV~yG2pj)qF`7L zVJc{QADVF*X?0cOT;3WMsv=DOy3n*h`BatGSlLolhrUJwXZBrl<;2|=MZwM#05d?$ zzq2)~RxsboSgg_(FUIe6>$S#fx_X73LiM~S2ib$bO1gL%8=}nT-y8|%NqY0{0f5ps z`ihbDjgrz?{)Wz#?J;z;zqWa=h_}v~Uwwh0e6)CN<68v4cmhg&di-qj$o@o|*H)MN zhH~@QV{>G4ak_TpTan|pCJ~N~V4rVQwtu+3Z0kPcpe!WQvt4J6;&li^~|lB(=48NU`r2 z$5ptqRbX95wQEDI>V|^m?Dw++2AZ+`PnhjdQ-wp7;&+p8j}{AOe&HW^M>tULnR|Ok zuD>oM_4^m!6*k2o77=|29Aq>saUVY9U>1M`Y;3hvO+r$Wxlm;ShBD?sjWJS$x#CFt zalGMd2ttrizow=n(pRG;iN|8%w`f9%viT0fnpPY@C_nri9kzc)_XwUrm{EN^M?~~8 z9KsqptPf>CkY>~*A_I*VIO4tc$c;w&m!_F!^Xs=YV7%&ksTIJ23`_L&b#~lbrq5XC zwJVsP@(gweY7>RvwgO%>J>JhSGf$I)DB$V(zS=M?Nr#PQOVRaGpb^N&Z?Kz!PpG`j zY2z{z2Er-Wh6fb0NAky>3RpbR633Wj$86{78f~M+Q_WnU=k|wC%-kU%`fqsdB*QBV z7l{ai1U_VJ?Zx0LjOU$ViklGOPDxDz7Q{@2g^ zTzoYk-lO!p*rq7Q`jeoGlGu3*@oJ@Ulo@R(vh4SO=F>b}N0A8?-ZIw*>G5P#o*45` zoR=`K^ynmrr?zg-4U}@Yt^%@cxh{CkoMm5 zoPXV&&8X3vA}~MBUNYsjSVrfKEPHdn=5k+U5I|P0`W2GF@sfF;XNZy%{u&bu&Q8i- z=V|l^j+gs)0&%@NSlY-OMMQ(3T%oOEF&Z96qmn4Lq!5jYQghe9lB!h2%iZ)m8(i9n zQU3Xn0y1<|34=SAp9^4;)!bVf2iYvJ>OpJ1qf4XeVnl2s<6=0?EM1vtT&$b1{(Ngg ziP`1QcuaAAau(eR)Xs)Je2aR_jJpp)irmA=VV~$?#P>g8-w^PChhYw9GrTaM=nm53 zC<$un+#*J`K`QNg-=oW9v|YuSD_BV8lzPB(|Jl~}3*`%1sRC2!;!GV6;0|>541kSrttz3llsEV32psoEb>y#`{&)#REmCm={YP3 zkS~Izr@rF*wXZJjgaYCHsz`u-g(1b@h09>l*8)ZPyAQk=cp3W?_!Lk1+m;~P8*K!4 z0ZFiI>Zi2PkyUz~diHB7y()Zd<(bL?Dhn<@{q^^L<@~-4$mL_}__@FWXmHolKV{8X zmtDCkNPNtjG0*go`N(BIsa87)*ry2&G7*|kQC5h&l5AHtZ5%aE5u`I4Cj;AF{i3TJ zcoP!fEU41C8?#|4RP34arDaw7u5&RktJ~QYgl2R(7ZZT|fW!VA{8YQHd(t7WicG+# z(LnD{Opce;bjQ6R$qxFtUgJz5bgkxTAoiq|Uby)>LlXGRQts9Xg1wpWOPu`;5H@|AnueaE;&Yr*p!z}53qVrc-7QXPLS&p48sckL6*~l23wsvl+#eZ@qD?{k}E!>@*~j(GCw3uZe+c6>cFUF(NmvF zC7+C~{t{)_o_?MERiAN})$tgb3cTL4+0ux5*#%N=;LyJ;H-rU?%dzP961Dfy#l=2g z7sV9@3e7L;bw(0rhldkSXDLwUl}hx5Tq#%^zXWR_Rz@Q6=mT7I_Se|Ta?%1L^4NDp zU9)or6R3XU9B02{=iu1H`}AmFc}s^F;7ukNi;7i&ih z)Bjxo@;ow7%fz+n`CL9A&@#?$i4;Th0(zq zq4@P%1npcbS*gTbO0&BD8R^ft-;ju`#KWw9ySA545D}A}9Ns}CKAj7;@tFi&)#MX0 zP?>BsaJb-4lf%)F2=;+n%78RaK%c^)5i9`50Me|Ahl4GHEE$u}8Xyn}nlhj}i8BndXM!{V9@ULn(5BO=r$<`sYbb4v3~;t~tLvr= za%ox-M$LVSxQl5z$uH~snh+g~V|q}Z#dTK2Q8`78(k3U&FYF74k#^;r@~!y%rO(}G_EA+zTka?F#8vv(l>5w`m)5p>zc?}JARmg2a;0vX@8X)$ zxrGwVeI2^a3I#e75dbX2(7D|AHX2wrq@S+utY)mi8fBX&1q}yIO&OsTGH`r?G}-iU zHU*Hj0#KEWC4DbARw|3e#iG>jy*FKP&EG4~32 zmoC^Zo2~LJm+tb7QgYY%8DF{mc~wIt63q`c`uX!V5sy>UWxeE81)SF@eNm%^c75VZ*KB>B;`2 z;ddS|3p!af%~7->3c!l$pDPw;A`&Gk9-}fE0qJzh^_pOfN2QS6w51KeW;$q2Gwc>K z#ui=$hJHLy5Ccv6zghsx1S)re`Nq%I(vb2=FrXH2AtGRbP*dgt3ry$(6*dbBHmpzF z)DwFHCb+zC5sVNNXL5^sPFcLNv>-LCj}*in zB%n`#2xa~aM{dQ&bC}^Iii}(a?`ivB<3!fj+0pGkwBNo3JMsYP=y%-A>orw^cxry` zw9KZ~+_i?Pr}WmHpFW3q)2ZL~;3*u^Zz*gl-tLh|@GTvdJNwA=0|P7Be32N^D_f*juK7AWtCz#4>hE>(_0DNNN*N>a1aA&IDhdw9bkWyB#<|~n11hB zccL`+tIBq9mMF%!i3+ z7PVFGOz=o-eeG5ewfKU|_u7UZRra6A9V$XI{cMyD z6jD%T>j}|h1Ft6zzWU8PYR1716h*Dx5hTjS2M1bZcwGy(MXMlwbkF7HBmQnTJ*tKi<85{MeCN8$Q(z-qr#~Oz!UG+tI~i0b9dl{Z0yvB||xj zSfxDrQSI$sY5BX_?~8CORUpWb6c-C0RKtn(ev$1}t}+)WCwF|-FPf`DGZX;A>ao}8 z=Sm1HyL1Zb9^CP)S7%I4B=R6z$X4V04t(CenRdWvFj$>f{tW5tn$OTY+iH$z=lPtr z8Hs8z(9U~uOipdHt>#->Odj?#Q?Vpj2!j##rSZy$6MhZfhoyg#kxQPix~=gT-67Rc zMJU*dnv;ve*-$zrf0y}tug1L7tTc1QlZk~_Ofx}@Hic3R5ovZU6*mP_5IUbsu`{i( zWd@q@?zuf)s*8!Q8KT9eG|RKUGzP*?L*MCAe%z3Zg-%N_D`O-kGnP%U{MPApJUXQ! z6v^u>OgO2=!ar*yf>Yt8mk!+9#p4YSJoDfdZ?`D-Lm?uLxs_J(rRaWjcjl(l~; zK?+iH{>VLBM7RoSIUI4S@8WhIf6qhQZf^tPol8<4GKO~FDaOszF=U)$eMFfuYdkqW zz+DbI#5nz-fBL#YQYm=$%cDC;(`mGQd(AgAp3TY^G|!J)7Q_n--a2QRRtGJ8K)4{? zp&DP;fJ#t$7p1e0`iG5`SUZ;~VMI#JKc$bHToof&lELh9>6+(v@NK@y&Hh32(2g=( zsSVvd5#}~IYKcssUrw z(x6waKfH!3`oiD<_5Zy0<6z!{&xf)jL%o2P%Lo|7Lh768S0_TN!+x`?g3bM7;bIK{ z6Vm?g+BJTCVDQyJ)=e?_>fj3~(wvuFsXmya5;| z*x|VcAa9N&-KDBKX7XU7%%a%*bg{X~pGvPJ-}~dLNFV;?TIB!)5=)iC)QW?#9M5Y5 zz$*|;0d4KA6yD$OQZgQ-<*qUGEUuZslsAo76}LL=}fX=+YRK2vu_!3iu+bq88_~6K6d23g`7+NXELRGw=j@D~xdDR;< zSpN0LOT*?Y4Kwiy?nVFt`{lej7~*hC>vfK=u+_JN3zv-9agadwoS08RcK&%sH1PV6 z%ii8DEN!`?BSa!z%+aHV0XS@=QCjt-G4=C;tI$J~uAk^!t2A#)+^CG`?VgGcm8PJD z9h3cJL^kJWTc*5x8kyHj(HvdXR``B_E{4}Sw&@Ox#uCibFnTHl7##W;6`Dv`*DQd~ zzt1>$l zy`tr!xYPUpkWSf{f5Sj7i_}-tF$F}i2YMV^5W%qGTd++fR^~PAav?M(Rhe?D4Rhk4 zHzj$00OwBGN+>_2Zdq-K9wJl|`a_LPZF2iA1n!vKw0mMxPE?E?>|H7uedv-Kc3`Tc znERrYG3s7Oo#pO}({__iZ|+swhCx#{SD8=QiDe60DB8|K5d-C-&7B^FbZ;?Y&#M($ zNP_3Qd(pu4q<+gzfPGdS%Zu5$0B^FA6+DYRBgg%sZ>sR_zEnm;BJUd|H}5m9tk*8} zC_fdxX19`qisj~A-_rG9A@!WVvHZZlyfGzJ@APp@I_R9IsL!~3k_7ueI4AQLE3Wlc zsJ2%gb=#nVoiKlk3(I{VD^xFu?on>(6QJU35bBa=XfzR!b_H+p_jZ;uafnByQ$ZFzeFCn{3?&FTXjn(nbO86K)<>eWp)YTN2fr4;#I; zuOdnA*$U}^3y!5y|wZ%gt2Spw?1r~Xs#>Bj<$lV% zOegfQxuQPduw&@N;gU{38I`@@s_{4=;TOt_ihJyWm3kCn_5?TuUw8;s;?(fd+}bD} zSR!4{l&r*?O*VJ_ETm@WXJ(YsE6toKRI1fV8&wE&J`FACU3z^38-{PADv@nR2gSA@ zmNAJ_%^i$9yRo{v+qLC~{I@2mg%vs%mzhz6dhtl@;cB|QY#OF&{<%y6?i>x+MlAdP z!SMKxVdz<^A}37CtcJ<7rLtm5aC`Q=mo}}{tLCH*Xp`pAT@$~J5N)ar{YBC}t_#wB zlImumyV?Xsb{vY|>W4+UU`1DHZWeWT;5Z>iR$1piKQ~KW_7y9eTQawn-6dbFZFl6l zbHiG->gi2dKiqcWY@V}|IitB|q=-+-49|NU`Le1kvnM&LFB^Ro01Z@q<;)xF%I7xO z-d5{+!?gc)RT8;d;?ZPO9xPvV>Q>6_qvS=+D?%1Jfq3HKVUJlZOf-#h-B8Oh@*)wf zp>D75YFjB-bJh_xG>!EE+aSp_bLCUYHr>IiqVf!TnJ5J;iECG?hY&ZGs*@ zMqi^@Gv{UkUbjpVm1gT^CmIz%)EFjBH@8MGdxDJTl@dp%im_D4Ld4O|(=V?dX1LXQ zabx&hE=(>-5wdPx9=)X5(pRBtl-4Ni5NH~T-D9L7$ejA?u6*K(CD=bDz|dU%gf`t3 zQO3ZuZYsH%Fu(%jvnLp<87GR3j?-7JXvC@GpFR5k?!}!!NfITQtWVex=oEq$Qbdv_)@$k~&IuRwktnFF{qbwn&9`6Nb>Uc41%a?M zgG${LZ>@pdbjP58^&MamShIiV3+(fVYy{dbgx)RP)TyehuE7}!6jVYZ%RegiAp?{fle zrZ~A&f3U?pW+7v@D4I(fNcW2BgHx@`=twsqOz=~`E=0rvH0O&X{@H$A%i7trVZ2A_ z0-AHLX$VU&kiqv@&@*~q_hy|-?`nyJ1?Y7xt?`{TNyhP**=B8&I%%g8dVJT|pQ!OT)J~x!odB)G@6&^!F&Xx#i;#~kuQXG?@y9`0` z8jmoU@C*%0W|Oo=J$eg_#%Ba)iUY57W}7z`OL!oVThJ2as~-$ZUM^d+rqr!I^IFjX zWBVC5Xt}pViP5L?6Ps)lU5J|-On4|x5|JRH{|v!INPmIG^6cHduk;ZDTpT-w*`2b=}lq&|5&VzP9gpLxa=Pdj-IB)8~jZ0xqAXJQ<(_Q1Ei` z&6%0u5p%gQxx6o&7S&E2IIwkfqP;HDzf-DTa)fHDUASDWrJ7-OUX|n{3@uxM!@ zW_&@H(PqGBU3px^=npz&)a3oneUBfD$JMVB=SHsCO|dRb7o{ys+C!t{MTlnUx~#vf zb?xF@Q79BkjoXBvQfjTMxl;QQ$B)tPFSYPn%>=h~4pdKK4y21jI}=0Lw_^g0MZ1>0 zMaEQ9al_sGXftG#+bw$q{AO5i7R1BwHm9v<4_%_U+g77UVKY3f)!YDfnbb-^Sf=9X zzUTJMO~iU+Qp!wX1*0>fkuR76^az-TxMX^$BA58{Kh%H&A7|P+L|>&H(ZW!uzBj$C z!e7~-%Tr?&eZCc;mcswvsPxK}{4kIt`JFHVrJ!^ByWpEmM2C~*PgS#&h!5i+1eBY&9lSe`3@5A=D2})4dQ=Lbi7ELpiQ@aGf`O>dG~-{rIee z9&s}0(W>Ca(zF2gRl|+DEbGjMZCmj6<=#PJ)7>Vh$6hE6ad&nj>*K!(9`EXsj{E;E(NN#n zqq}mP(>xZHN;%~eYdXK62QEvGuyRNb#S zGVo+VAqX@L`QWZD3X+OWkpnnSEM~p>rxKihGE`|+4RwpLb$8_IQ< zXVLJ&lFU1%8B25DCl6kvrxKufD}x$0RaH-&sQW^h_|UfME3G87B~QCKWo*@@Dv{b_ zK&puaMu`OVV>T3LX9e_4RexXEelcc*rgptnyEP4o5c4fo4V&CB9gi5nAQvfLMDcsQ z^VG9qF&i0{BT;b8BYvnDRc3XEhGa-0g&L$J zwlZr`49qW!tK8Hd13py~UzBx+xJKWsC_4{hGpMNf*5q8{KjbHZJNA z^jbTY%}}r_Ptz%g(^#edwhcZ=ca_8*&Y? zl{cCt)2II&xO<)-uML|M;dle8ZJ`~f2E8$F(2}$CX@l``6R_kU5=z#}+)tXXCsrYe znIg9musw++6$%Z}mo$XJ_)Al|E9#NL$|hRc+nIxrC#2?vrCE*+;Lu*%7Pkduz6Aoz z=6?VG_kH4)EQP{&Cn9sBZ{MzDvB&+fAEV#BeS0nl=WFQ5$W%&MJ7#9;mhXj**J`Ir zR+6|Jyh86Q(e`S^+yNbNO|Dl=uOgcpW%Vze*S5RgyIE$L{fzW@ccMx4@;YnlkxA?5 zaW003$Fc~VWK36SZSMTIvt1ql$(QxQ$NOCkX3yfdDS|@b>U(Um*1NaC9boQ^vC3-J zexu%o-s!J9#DP10tv9j7EqX!0@7UK^!6&TF4s>Fljo2K6S5MV0n9Cm|0Q3e&Q!rA= znpX9Z$)8+E81nn+%5I`6XaO5-DT|>j8V0%P3hEr&E5R&YWX(0Rh&Q}B338(XS`fzLR;O0^i zd>Hn<8c&)sFK*C4k~U4@vH;Ce=+&!2e5nwaToqMrp`;65!)&i}-NFU5JrG-atd}08 zK?AM@KeF)*dP-jqQZ@nvt^QL%gXO>D3BQc`kD#^uZ_*#iOk;S?;n2L=z$7UxKT4FBS~l*jqV5r3fL zc?yV&`?|@ewX^2-Wh-^gXstuOJjO5YEOQBWd8of5@oLxDN$2purs%J=pL_ArjuQT~ z`pGQWzw#ySrGw631ydqhJG9;XUw&X4AwKL~`rM8aD$d$;T{udabsN{W56yK?!3~Mk z4%MMZK8T74XzxsGaW`k;61Y+_7WOR4s*$=FT3yC`ppYc2Lt3S*wviCb!H35qsum>>o?g+x^38-2Cux#N_m_E3sN z0tqF7xNdRLU5MqF$v(gd`g-)XXqjy=ke8ct%L6}x@&+Ke05ej2PWVuP&-WV7*Xz-^YdpaeNVp4 zS347URKFp(y4dzcf?Euw`K@p14Q!Q&zAE|}u&1=ZO9lazgiD9wRd%-AyvB^#t4>)o zn zTIh5Ujl*cs#>u;pQp2VJM{vf&6*oV2Nj_6aiBDkj?Gq;%?$-RYrP1murR10)yKlB$jpRoq* zU7O+1_k{A7X`)3)%S6uynj4a-7SL)p zY{A_GL;yC~rxz{!hK~Zb)WIvKeOgsCpI)x#cu%$6yq%wB#r)V&9!U5b6c7uI!s=B! zB1wDqDUsYUg#?XSz_9olF7?xcD{h2wDDc&ny!|Y+GD2sBK(aaW{CO3T&3Tvuj8CNjN6N2 zc^<8pBeum+YM(Y_a(^QMr^u1Bg5DHL?aMT55*qSP76$I$#wd9XhZgTn_04@GZH^3E znglJ&eDjmkh${UN9h6h?id^^6oQ?kIhlxNE{|n1N3fR(~3Up*`2 zijvce&z>hx^xV344M)^U?$&HBi@N=CsB!yR$aWt@D4j$@85l>8CgVft*s;SQ5ux&v zuRW5-qk1%jf{J!1qa-^6yn6Hp>aAVR%!xZca8VP7<010#C z&pr(kf!0j6UhAS}@7lX}z714Y-k-Mr2U6J$%r9TLNgk@iro>GrLVqrvwAd_Anl0%1 zNXlv{{r)9TfBC(>^h9tn+sIz+UU!XPOV+D_OXveoVLr~j@2jP1&!}hW_$mEMQ~cA} zyb|tYM@Csk%p{W)s+AS^SYU_@HzktNfMc>tk=jufPq`bxkAWgW)u9_gl_#s{wq6h} z>tG`AhC9kff1(D{|A5GBWz>?bPhM<^gF2Z}8KFMxG&N-#7Wf)HTQ?+ny{83(w0{iY zX}{%0@LVcF^bQm!$DPJOmJ9`JZ{7m9kmpTCW4yrK5Wa+krveuUd*Pv0edJrHe_c_J+3K;Y0fGo2K7-^3KpC?_WFK2zB=YrOQX#|1ZRY}N$ zsjg3wbQaq1zOBrX2Esqh)oYCB=NAGx(#X}&Tlw5RR8wig^q~--1elwg97Q}g_Zmel z?@kHWkas)hZA1u-uXWbPdM8_271IRIjYHLUr-uPBp=?(Ras7yfm^#HYOSK& z`wvMb^~2LMmRw~tZiUa+5rruoQg&l_>o4?H(nG{Q-Ana{or#-gdml%+`dImrvbG{( z7p&tb<2KF1iyEl$<3+|T(cr$3H{GD2`gSx^hn7h3?N z-7f#2g>parXHTO6Xp+A#C2Zuc{Zdc36GglYx@H|9PCaBM{&in*V!%HPSi-P^+!JO5 zI@rugFRTlbeLpC5i#EQCqt8&7BKWgRe%EPME#GG`?dVxT9A|p(!G9fnHgQW#ss8N_Q1c&3xd57=V@14Ul( z;Oq|aNiyHKuw+(mm2ptbABVYXT46HV*GPgdjvGBFxMN#vS0!oI8@L~%w_{iUf@6pe z!J}wU#&NgP={AWH8DsoS@;|-{eIIF4Xopg5(CA$r`Op>xj-ym(=xp)QE=7Xv{$V{4qbf+kT65`SQT( z!ZyvE*xJEVow#eKj@8VD4<6E)84uEj`&>;30OfqZbRZDZHBUS=J|IdC=Y78387%)% z9dc1B&9C;GL0lCl^(lD;dekR|9TQ7r*scadjrLb$X}myZdUYo;Torx0UU9+a&q+K6 zK4o6kXer21DjvD?6l{8}e?ow4KMQBv`LY4j_lk?k1Ir+oK{PaH?B{SH*qzj};=~S$xWpk*YrTFKJ~fRkm`kA6J*@ z(N}Xe3Y2Hsg` zd_4%nK)XGK!B0X5uzJQ&ykzsh$u(ATY$O1^q0w5^ggB79gS0qa&ySdKa40%KHcB;6 zSuzO;!>CpsnY9ilN0f=q%y4Dq;hn8qwyJ1qlNKKx4x-X>n%%9B&MK?4XR z6VrUXNWt|*BRA29)zaX!+%fR}Xm1 zh)0bC`jGnm?+!;tk`SQRu6~VKx=N|OR5wj=Uc%_QBZ4r2r{vhfwQ+~O1RC?#%j#l_ zFq%tNZ*=in4T>4nmTeIZUgv8d7i+Y-Eo94Z+TEXj|F2#QO7z`i_A{c#-IYcf6OTsE zROZjR+n1d=Z%+j1JTn zd+6vm8?`#Qp7VM|4Fn(8W8II^OkLUcMnV0%8i zr-c?L`(fwaopm_}=js0UIS}xkC!hfcsZ1Uc`D4(y%EXaKXp!_}&7Sgy>)}~Pk7k*v z0R*+iSy#a$v~R zeX^24%(kxlnZBzNfrHfi>tqOoyp%v43|w(75S}?G)apg?N;OE`O0+b$p?Yc&Fa4;>M((f(+qN5a0fa6{?2lCvuLHUtJ~ zs?$>|(7(8KG&DIi>SSt=D-4F6OKZ8(PI2i%r5OSRluhu66AmjYKYItpG80XMn@&o9 zR`GQZ{5deuBqL;2oG;ZZDUr_&L2EFS#)4iOjE8~wMjVvio6QBl+}v)l0*m+ix|BR6 zq7j@*t-zf3jCOGVB%GV-9-qnRuVe{8>Sv@<-AIjL3V*mP=gMK7dWVl_LqBz>zeAM?E0)b*m z(-tW@b|C-yqZl(%hEkVNw2uUR%ev%$PwfoW32O$$RZzsii+!`7Q&yF){S3^1cz<&M zQOa^}ud$yq9;5$y=a4dqMi8Wo()uUXucO%AZcab&9@l#!UG*^*LMtD{)wQJ!^~{{|qje>0#VA_7t-GV0Vt=7IO_^w2S|1KGCn=&7 zIiMqlKFliD13Y7lJK7x7ntg0O;-~v1`zg0pU=VC&Sr_guH7d{#*$<^ee(Eg@iS`F% zHA>;eTJ<4O1GTx+rl($J0Z@RWFJ@}K3xQP1SdkK<1Xw00W+4cO!<}9e@|b5YYCH+E zFWSfJrGrx^O4gG#;Z|M={+0UQpTC}7#2Ib8d!Ua7GQO-kqNNQmX*UEU0pJe@7AE4U zwf@t!j*X40k61-dQ|KSSc*Zpj9>=l0*@|=`jumLC5r}r@uU|vj7K7zem7BeOK_t37 zhCmC^0leiNW{O-pQ_NwEDVnA>L($P+o!;NhiVSBkC^Ts;Yr+#e1qvfIbcC$AnegCRn?NkwemQ9q{hZ80)DRKKV55>n@+ zrF_6xec$!x3-5M?t7hpcw?AKqOMFRL_1?t$qmqSty(Mj6DiAf?M7yNXV2p=OfuA`f zBa>sjholVH6rcqddf`ip%Fh>sbg|fg9}8rHx@*{h-8b_G>|28~r~`VU8QhR8o~FUQ zVm$X6d{aD^e%QJ#Rz-f)Y+bL?@#<8df815HKiz1(<-p~CrfcD+F|np^Vcxs=+ty|2{Ww#AoH6&% zo#cyzwgikJ)APFGIg@CG*hvi-ht@)l>k0=EIZLZ=Unl@u0cII6x44LJA^Z!4lKC?+ z9iBtCzQH?K4wgx1B&ErK=cc(pgvCHGS8NR*-4R`eCMk0^@ZhL4ck!fIkTYX0{Nqgm zXA54u6v#2s$LYCGvvG4HO>^;rGg?keO=~o~A8voFukYHJ1yE)-pw)>!Y}+;oIY8agmiMNa9*?C0;5E;h zHZt=0bU-%>p5aW6&N2xd_SY96bo}-0C)BUNVo1v5@6@~jh<6gp=2vF&@wdr}H$BYT z{4PCWcnu{5WIqkMf5GmJVYAB1Ad)%YW&d!Hr;EKvkJ70OOUUK-T=0;^+mHL5gr0C3 zEfR5KgQKbmo0CAPN#e)o^I~h<*%Y~*smuj4Wl)?JMmXI8iCS${OeonAC~;6QHNP2d z87I7@!9)1R!d8j3ifO>Ls+-yplcA1kmC*3XzXVu6ap`AXI@6oLTU$`DRye7g8L|tZ zpEjfb+C53hi6{uQV+PGfmYNmYK&cfMz2Hn@A#As71>D9s->gk`+WGpOc2;8bao>Iw z+|m*+q}t6T$4O})h=stm(t^*S)}vJOojv*?LbHPePzF;5I;L%%b*y%a&;$ig1fR%r z&(EdrJEy-Frq5agd~+-oM}-f|I^f1|NcM`aXW8ji6?K547g`8XK4#|3K%L?MWfbCz zu0Te^JT~LavfwTq1(Ui=feqFWFM%nOSdLj|`ofd%rjvvjgu(Vy^JZUHZQ6_h6WNlg9F`pn0bGzs>?3HLw0ZOK&|M5DU zPKimPl{Zeo*d(cX7TUPF^a~>+90YH4G8YBWFps2b{&?jK$gEYWx3(D1 z!<21adU``7ytCf#r&HikiojIc~8C+D%CNYW3!UMh+0Xdsi zJa%p$1_QS`eLF%c*M|;d-cycTNT3ng2n@+=H5Bb2YKy3*W@TT9jMnMqPRxN}#5li# ze0*p1fWUan)K^A~Y4FG;5kt>L0VD19O>3u&F_-A{u@MHIcSe0TnJmI^0V)0=rO?PJ0vAVOUPhak5s4~M34*5kF z25O02RuL8fQ>{_BoGq=8f#?NIsMkGNodk7Ylh7DoD8 zzPfI@YFNx}*sLL!U@enFT-YvoYpfdnBm?&Bf@OHevw%+U zNRBWjHA7s0U^svMzgEe2yb+DSJl{eE#<^>v`hffK8eg-Ib!p$35ZH= z5}7G;Zk%*q^70w$Uk`XiORbbdlm;NByg~_?BxhNeLBCc$A7><$B}~vTOe5~&dmARs zotTzJbPr_fT)?GJloLIi(i>qk;>rz=9}hSpoIKo}ii>mnOkQ42-`w&=W1Po!xvcF- zEnhzAm-46a){EHM_yRk8D~DsL$RUfV1i!Yw-s%fDz8_C7(k|$ygu(YpZpJvgCa5gz z5rLK^>vQvTkX<$?3u_0KNH*~diAHfFDBFo!mU)+qkEVP3!7wP3Uf{|L*1y4G*7)n! zqpZcO4g-UdfaDhx0NmOOot^!(ktSw_&U!;}Nr}%A5Eb1#&YUEYt0*XFT+&5E=|j=< z9|0W|t=$~l^XX$>=y>)o!GlGDE;{5K{rqWO_{J-W&Yzw!e;C)M$@9{JN@+AeU~GqY z5Kiw*B<7HqHp9|Xm#W1QE}fP?(CUxm4>Si|42@W%F=%{!XE;1D$fP_A?m$ZdjhZhO z$MvEw3*)8HHSKT#$bZ+I%5UrFk#v%-aEB0KAZqEQbl_q|krJE>MX7oAwZ0-PRqgo|BCn>&`IF=Y?=7?)5<=Q#D7yDqGNhr5l|ces8J$>Q}~C`goaq;?B(t0HPdZ@otlM-AqfX#@VUglq#y zWsHU;X<;Tgvt)_3&m3ev^ZX7iX$`k*O%m?D+_2dep;STdlq9yCR!B#D=dR@7LJ z85N`5m3X>xbXYH-LD6v6GPDl}URyDKQhVzb^W8M3^|hoU-b4nq-D5+^lon2;PL zp(ocvSOQQmHb;Zou95p}Tj@NO8%~3BV^2n9QToa)l4ofo^B7W2=o7O2Zy7hzS9+Qa zUv#>;B0uVSJW_+F zhC<5xXSd1N+X}5uO%?u&Sz?xr+3NE3!%pTXIOg(K;@F{1e<)9X;eFV@x8p{La*u76dWsCAC0 z;3<~x07XE$zic`7(5?15A?1C^k-R-y@)9btnLDSgvH^s3d$6>z1M4mtq?T|Iz2YM3 zA?o4=EdIQF9Ci+?4{lBwn@bE6?KU%Y0AxOc_BM={1iR09FGv=mecTfslJU`zg93YT zOo1Jo@g$P+4GQO+;4Q?&^kJcoTaNzub94*cZc~hIGLFQb;6R~&lI|MOw~CDqzYY(N zjCe>+aKWO9$K$o$5FXMp@zCQ4CIsQ>3o`==r}2dIkaDmk(QT?&E&SMTv9|S&6XJknCMcy%W2@rdP%wEgdul!cz zeevkyGTT7sO3FwDl~dss9`+PIA%681n@s6mWE&6(nC5c8(lsyV9gs(PP7hc92rczs z1*EYX;^fJiOiBZui#@5-C{m?XGQ-G^>`gnqI*TpO>_G@HJQ>KO2~5KWF-$y0DAG#q zt@IR34uMfZFui753z0sPh|B0G^vM_P~}qobEq zrQ0l5Oo}5#*R0Y-wylJR92l8TH7-l~!I80%rumsuY;$h{jKzA1WRep%|$Mtgz z>Xr+=pZTauYs&7%qXV9JSn}5Q%GN$Inb@Zcg!Jn~;z5y>%z8 z^3vmGU7;TFwL<%I6im0bLCFC%Q-^5POQUw?oOW(4%3o!?IS^&_RtF+&ldlJfLJ~Uf zM+45QzIfJS^;%d8uD;1{8XM`_dH&`30P?~}5KCuNoE&~*P6xuc7wzHzhfi8dI^1I1 zK?i^(IYS9uox^YP70QEYqMHOIy;UmhPlW)g916w1eH_QvJjhlsxs zzRRIMb@u&1a;aLGnikCh(OuI)>sTNZU)6T+O%J?}F;*Owza|+_T<_`~#Wq-@lQQe; zoozSdrLkLV(vK&*9zm(eQ8rS$3sVd2QGM&{l&w>T>}7wI?C(l~^;=Qa)VPBkGn3IpP+HR#54sm{HY` z+mRkD9%1=qq|fB0SeqliDuv(YXIAV~ZgKgK%|}d^D44=pDbsI+P4mHNj^!aETG1E; z%18w+gU}@LiOGOh`t`J+uUxQjskjx;D#*6=jSCkq50sTIXTH*TAUTuoOfr{&8gQp5 z(IZ+dDQS+uxbwB$YU{MpYSgV6Js%ppFk+MQ@*7}oqcGrMU7Tw&lSwJMSnWmIIA)e^ zM6u4dyCpc1LsKr^Z`u`$#G4rQPG{dIe`MWotu39|N|QZdx{AG7JZ#+T$Dj;p*7UX{56pUxSdX5*+lmX{xiD172Y)8r^qOtsfs`JakDoOQx94|Zfum+8Ls zezZtV@&Kz_v2H}f%*thGFWQJGGO015Xk}l@lu>S0J&{A?_VALZ`AGj98-GQO?`Ion zey1g>LZ#y|HU7rnV|vAv3w8~GK4I%wfbk`UB}`S4+3I45lSh*7q z+hO`l8Q2kJcgc&M^(|;weL5bf!FXvPPq_skm5O+LD_)Dkv9d#P0VRZg1LnA0ds|x@ z9@udrnhD%^KuibLb#T>`9o55XyXu1r3*6Q%0o~}MTRq8ti@^1h*ru{v4Dn@&i)wLO z{w41mvtC!Fhm;x_C*nwI(|N*U>hvW_IEolaZFrT!HA2U&7A(LOnqvi2eC;=E(YKM^1`El#k zQ}QEbC`U9$-j_)}w5QbIh2(D4+Jr@t1`hn$ssHzl@?M0Sl7Qxy%a@DVJVYcuZt+M* zTgMhni6_ZJ)FzV0xF>J;a#d{z1%Moi#u59?PRq~TzJGU00Y8ZnP-B1t17 zR+L{Za&t*>4R9ORsqnewx*$Ff1j%AY>`r=>#l14Jah6z<{Y3dmuGV3S_LkZwNdFL4 zgH)oe?3}!rpC6S)$#jo=`r1deGnOa~Z%=e`N^B385_1APJ3fuNIMJ8rg!Roe5xQJDC_U?_s{tY_J-Nuwi)+f zWY`BH3AvFA+bwfZXCvY)F-@=*oP4jXFR69SX!cT+vC}QbE^8!5_)9F^g)w0jJz=Z- zj9E~}LB=d`lqDe%*8d7mP6ZWuc1||eUZutZKJf0wtU>8^+)9T=@YB7`DX_^3FP)i+ z-l}ZOlBq&7M@<==uP0j=kQyv*To%6Pj9eXS-qE8CZ7~IF59R2j!o&fVtm}T)n)zyOF+NOMiR^UwBUR5fNa=fSkCVa9152N(|@>YDi4> zO%JI&l0c6qkRajwR%$ zO>Wq5=AjE(0Ms-6Kt3n-O}y}A4gOiWEJ6fSvzK+T!b$J6YU+fqO93Djd_VvMQB)SN#!#r_D+d_kI&~iIvSZzS(4M_ivYX2bq40%5HH_M* z$^tksg4Srrsj8}+r(w65Ms@aBOk-Q2Zcf*zcyvzRM4MRH#VQd_I0ORy@W$NX!*e$t z0v3rCeE9YlhRre!e~<-Idp>cWJ{Hro9peUl!p4jv$vgDAsPKfCX;7=1yl zVD}F<8`K3jl<0sMOc_Wlt(rF{w;X`k) zw9awDr~6u`W$5Pfn!R+azh&bYS84v0w}D z2dB>*Lf_-4s)9MGaRN8iK=~Q5i-NDXC$tjK?G_&6p5gi(t6M!~9vq3pNGo2^m%7E? z>R~VSM}-qMjC$2P@HQ!V(6)!=L`dX!M$6Ch;}dq}`uZ|%M!hK|!({mL?*qB+E}bdi z2o%QKl~6Wb!?$t?jpGD+s%ZDfJc>-pKeI__E~mGcjsvS!7Y zusJ3)F4{W)=5srbLX5AK{q_nHnrrs;8QkXe^_70lKB#Ib&#-wSRLkR?ylTBoRU3f< z>157=O}yQ)t+ZSJghcUYG!J_kE8*RpAE}H2p%*%;JcBuLsRFkF{z1=w6aoc*p%r%r z2~2&v#X&v7qc#&8uiKzycKF>vbrF;+Rr+85ANEn+GiKgDpXB0|8&bDimk2NgQpNxn ze+{HkULf-<_n7Ne(RYR1SE3so6@q`V?lR(FK?xt_cBx0HJUI&wlgc!1SUaIVy9165W~)bEVdWK?t&E>anro9=REA^l2S{WD}o3I-yMc) zHONyJ~x~)-!6B6-+T3?r`y=Z8V zO!akq*TxVy`3(ue*5q20roz;H@kvO+I>w7{OMSbH3d~_IE!AtI^LSQqFvJ4Fa>~ws zOhb@g;DiViL=ZM;Cg{79Q>AfzaNnr%J(?J}els|}5TWs2c#c!wp<}+N)i_mc5wZ7W zemAhVwjT7ER#jTZI`nqNuM6Z`ZRtLRzY~Bz(+$xG;BXs#^j`+y`4DGI214ERq58vL z3MK1bq-Q<%Noag7-KE5Z^8Qv1UNPj8x-bbMdy|$ohJ$T}bI>`+59*tyv-HtI;PvcI zo|H+!6L5#jX?qG?N~|F25cWDvxT>YndE_OD#dU_~)dm2+`bXvj&Hq-`fuRDm3+B=R zYXWOLZz&qidpsRa@kdJ6rJ;C3PHHnP%c>iy@9_{QpEUqGU2?+IsT<#j` zWPWZHu#qxyaxzb1yEcMbmQ;b((h5=-535UK%USd1ii`NKG-F+nKC~31jRuTxdElq! zfocYDIvNB=U9Vcu=-9|45-b$pGVH3D>%Bu-UOz|o_*Q1(?DprNv9bjF7brsO;7Mik{3{fR zIjt7%It@V#4hzHeobL+%ymqLi)X+54QbM;#AlG{5(X)B%eE)bGzOJ0squW0&_+)V&)k&ZlVcwHls)yDF-7GhRwz{SlA71SeGBHRa#K0Baw`(tc>suBaw4;>+a^8 zyE`uH>D?LzyZSD4ir1++>Pr?$R3{gKHkcZf%5688(jxLY?;7mlzHc#ftUNg=wW9_cFMZljE zbDsz__PRp@cT8%1DH*Z(;yfsZo>_26cjDdiSBqYf{YXrVEem$b+i-;W#F0P&cizO% zpK!&@xt&$|OSqT7p*}I|w}A1)Ov}EhX5s`eaEZ{)j+Yxf)L-k2@t+|J2|508##_3& z!N#qw`E-OWV_Xf@2|(3x@m;c#;6p)5w6Ac@P+@O;9(k#3PTuN~dk;p2^C~m5M$q`n zcuap(cA~Vz<#{E6V7!wZG^fW|(pzO%7JafdOZ-X&%c+Es63hSqUL!oo zoyiE#N#9>D?yfR3EkLnsvow~=`(VoKP~trS=1V3$E-C5F)tp#%Osa^*X0dPC3!RHX zM_t~ojTX`?0`iOI*n&`bxX?+CZmCva=4&l}Q;fxA(Craq{Q}ryRkxQe+Goa>C*2@1 zPKy2YtuRm_^Z*E<&aZ-pNR{oVT}WoI5}prRv|7S=%N^py1zaw|Ad%pJy(^+zUlueI zVwk2+cCQ-$f{KzOyRP=Jh{bjxf^5tLEYx^B>>5N9cu7tIEk+Z9>}4!3iCk@h-qU2X zP+3&RXfPER%PaAAh7A(j2^#CyZFwKZ=7^+l2SZ#n&oRS1XbWI3xcA+g0SYCJwuqw z0lq`Ao}SV699L>VoU*kH+D~c2?VpULl4)!(2N*|mV?75{qY12aHJv=!gz<&?Cryez zBL$AD4emjwM2Hrm!{oMw5TYsQZG$4moADV~ArKBN>X*)(VZKrxm8ycdnP08+k$ovU z%{w*|#qZFcvM7#@Z#veL{Bc8G{rSh0?Wy~%+qLPfK|PLo`5I5}2V%+zg=B<&_{zoG z+xxbS*Y0R~mu@dgewfFq#iV*u=qyTtrb;6+#jV5h5NQkH|5|=uqI+Yzj2>NY2bN+| zI`nor>!afKKV?4&bXr~3xZl;F-)GgTO=}M778E9qdU~I6vmfOp!&O69Tv^`QyJd6r zwuU!pcB145xvW~3WbX(X6cL|PsTNk|tWnHEjvORy1jLMMz-bKKceKX81rj6k=C3;s z&G^iV$q6NS%SRurI6yTzd2uPUsH}YAjI2)G=RN(j#_Yx2Le_!BUR?gEQ~5Yu2LkK$ zs$H5td%U1>SNXN_(p!Hm?71sf4;Z9z*(qK!)%f52$1TXr8%s-|6fkEriA>VG?j}$9 zvQtpJWbNProyDFlZL$@B1;;-3xZU%Bhi>e68_H36S>?2j0Ak@B;)!{tLlRM%2%FBw z`auBC8Ivgpn2$os>qKBYV3LUJnZef>v$3-91?j*3H=fA{k-H^kBBfc07Lyf?`#!dk z+0dv*UEEZC>R@OSr8JmDa98lcwx9A-gh3Sj zPVeG{tq5mo-YMS6?BXV>ie#Ap47xQ7xHPSQA2fbzEiy~0qEPxGWkKaZ_zYE#=I?FR%$ z`X}qka2xh9=8he`O2Zg!>S6}k_RZB{TkkUOvE@H&OK|}lr?Mf8h(Ik~SvfcNDxH>Z zFz|tqX~j*_Y~(%l-@5#^wC$?DrIPl(DCsw6sl2~mtKY|&#{^g9*rTM=E-w3x3XBeL z&D$R6Yov?=pRNn;BM+?e`1rwNT?Rnl`2+5kl8tc#i*K597G11%OOC*4UDHDqD;=6k zHr5L*?Jp-&qRZ%eR;uAfBX9-Argcvy;pJx@^m>V@b@JeJlB#%ROq4E)sCM3S+)ZZh z(Vsvs(E-}a6UbJ? zi)t=*-PZ9{NTKsE!OCsNmDboQGZLu0htOgNbTfdX+Q}&4&m=}8vBXe=XnIucAv-Yc~5wEt#<(A_qRo#V9!r3PQ(T_+p zvDb$fg~Kxb)%*&vb!|;U&7}tCp>S;~S<9`fi_$p`0m5Iqo$}%pN)cPc^YgkcIkeX% z^WiLVfJnG$--9^Gg`n?Y!p+vm-x-%%zfK;QZnOS8jze;IOttTF`ARb4c4HV6{^UM* z%?bRR?$#0HN*;nEb>pN5w>oZFlNOzreHv`^dcxDLwCP@1JD#@Wv3j)Xvlr8etTDh~ zH+qA1FPfNN=bV$U$_{&w&l^1_REHp7O4+=1b4=r+>{F zJz}v137f{^?qY}leL_mwIf;h)#KP2$@ky@pJwsMfjkzVxOw~oop1wSB86Z#E4XT z@RsOP5gsq4QI%Q#rAz&e71cMl|C^R(y%bQy;I z=SraX>8v=nGuK(Qwce=wMqWCe%!=cD?vBcuIAC&p;8EwnXh!KY)$5|VY9g~bYoanc zYopFCEbk`%)_U7iNk+F+dH6k@OPRtu!fW|{B~$mW6rG`^P9mMg|(`OwEA(}UJ(8eEa{%8cMe z%`O7PK5(|??Uy0VT|B4)+wy5mxdFml#Mz~8&TD!I`8A0Vy9 z_LYqv+(tyYkaA?dME-0IVQF zq6on(SOc)SW|R7tuYcQIk^a?H%$GdpFj7aqHr3b^DfUK#a1 z1%xQI+DKBV)IxZTwM^89h-xhu@a^wm+Hf4=b(#WY-J3M zntBML_NYog>eV&+tKxaMLl*~)Q9x2sae`0zr?5OP9ponQ9Z5$f0xfVrUsEr;ZEmLZ zzu3Y9W2TT=H9Pe@c?1a<8hSkmdIs)AmE+0`hl$i@S+5i(+8GNE>~;xS&2k6 z&H+5_A3=)xrPCLtkWR;}m6~bAM3wdqP9%TAHz4izE`}h|E6c!V97&vKp~gD3BR}D| zq)>H7mlts>H9RPj8PD3TEl9gcM4ub4xZqVWCTHxs&b}jAxdIp?eZ+&1i3cr|bE6eJ zNt(*JjbP4uHo}2$*i)qYnsq_zoNa9ui${ZSJP_@f-1>9)PibQ?0?M|6b-x(+1)Y?f zW*)*dZzB(^lAMws+SM-aZ(W6Kt~@AzN$b^?E6^ZY6htkSvC|S{q45O2aUJTNyWuGr z%RE(3ad~f1UNkvN9Gem&2`a(A@g-jV=Jt;wRv&hR94als=IV3Vc`+hRq#?sJ#t86S zRV2}$%8OgA%)m{3f!~o&zJGE8J(=}OEs+NbiN829N#(8n-Yby^$|$iNS!8W!ucpP2 zh@1sXVW7MuRhd+mt_t>)L-!~K4+Os2<%%7S9VZ}2CqF1Ij&~sytX# zm#$Hiq{;({!UaqYDMn3;hhD2bhQhpsaK+vjh3_!~%tE-2YOpH34hR`f@__ApPq7XR z6fA=70*d{S?l8&Uu&>Iw0?@tlh%6j+?umfI=!E>h!V0uVbN&)Fz23yK*~(I-)#@mv zhx7G~E2PjyyG+L)KSpRHeo7bg^1U$+^^}&D0vrpJw4o4iDNiEJElS7|{c#Wtn*zy$ zH^+50mDecSgrdLqtL*>omLX6;f$9i88pDAxlnMZ(CKMSbj&n1u*@uQ$EbBR0gBN_i za~iADLC8Zzc5udg%(^8Mn6m^kxHlhvlwT@%L+j=^&k8)FB8(p!Cn86|wejcDAqU;U zqr?!T=T`OWv#H>7z$QF4L@jNekHMRviw=Qwu5_My=y5gvw<2x#jIX>(>)h;pU;HRu z4!v#dCsv@do11eI-U8dSM)y7v4}B_g)>g?C(}x2VBCw{Q%=c~lx3{eZ@BI9z)fV)r zId5^Oxu?3(`Fp{XZ>*3Z3_K2^e_eM6zd&IQ@FQW2#Ob+N*I9jO!J?GJd?V6w@6ufM z2J(rQNelv%U*DODS1a4gBJGim|J+X8o`Nu!e3$2^Ij1=2*1ZZY#d&6sq__z0ZtVVZ z%b@`1Vwk_qejRWsHAN!<@&$7W%XUuQIX=*1$>iv>QAgDw>wv?W#}9!x{`}C2k$JN= zCaTH|y)81ceo_0D%K(8}^kLz-mYD0%z9}`;ALHZM>0euyk$Uf6X&&!%s^#-yDBrCf z8c(E+J?KL(`pMv&4DAlE8BjDo3=cWxRLd*^?lAzOuhp#56oxs`%_8+?z2M1E?yRO= zQ@i!sAJm+GC?7C(H2ZVUN(XadwV7^Fw|nXA{04o^3?sonr2X>u?#Yj!@t+x(RoTJ& z6TPNhzMN7k7=bS~_a_Pxq?eExi;EG+OK7L}E$!b%_;Z0ZlUV+=-j-PWd00{RGlh;?}k=%CeTjT3gH8S}klO z-cE{TlvhYs2G32%Ul`E}R@0~Cc;<7H^_E#ihG;W_N+Zn02X1Gb;|^{|d`gISN$vPb6iA3F7=ul4nrMeB6Y z*XQm7VkWpe4VXpfU+eMFaM3VIbb24aSPZAFLbS5=tS(aa?fUf!E=9uP#EzhpbuBPY zQ$oYO7;OpS+ttUSoS^aIlk6G?U3Qcf-(;O&w|~pSomd(FQ2*eZ;`*Cg4Ht~+R_;U7 zG*1wbjFGjFzxOaEddCv@3C?)J?>!L=pYD~CkOjz=7SenIVc z)*kS@Lr_avssNX67ObD=zEWqrym-PZ&h#5;d>goL@yeXy@sc>Kw{M&maZ0mb1Dq7= z{6`er;eHH;iOH33AW#bDI1sRT4|Q>Z>!P*U!U)Xz*6@&^wfdQ-jg6m~)r>vHwx1K5 zRNTV1ZZdGK61l%&K^-sQMq3SCD{x-6wMMlUo5U!}^Zmj<$*ePHX94rG_1O*t>`^JS z0mH<^inR_zOl>sxm`6LmKR7YhThXi3RMB&PllwK#Z)ue{h&rb({Q!uxKDj+GFHFA&Z ze4l{Gq>7VX%s=>geYaciqQHSuR|i%1y&m=(u>|Z?eHwv{KTOxa_W2G~&0f2}jLm%* zObOC9Xt+4r4eny%jmM5f+OPs{yf1`J0nyn(g$@MlHp=4b`?ixdO=}c9>CAOGjc+w6 zKXIuEBgQZ>Id!8!F3N3K0v4%h$g1*YXU0)~8k4uWS8wtDXRScS>lk&cJHrXdZxaa*E0_iv+lS{OF)}dP)V5I@OJP>2nDX zo-+~l_juI0*DOc3Ae~K1WW1WNb{8dL?XhpZgMSCsd;;M7t=eohrFscoVM9kddRA<> z4j_DA^}`RQ{cYf{w?(O1QEZ&*yN*Z1H?2wk-`wgXYdgN!d(4dHe{W=Gps5=uM& zs6F0!cNRdrQoq~f{&Bh)TmuqoOE7yfbaw4920bEo4KRPiPTm)k1NFRe4X;G*ZrTQe zN?$c1TWqgUorX6^!WMtQ*YhxV8~87K$A$rMu#mwxJ~l?O zz78iaDhNkh@=@Di*Caawo@j|?6aYm+*ZilMLlU}{gtskV88Cs}0V(j0gL#x&Xv&e1 z_7lIvR_c`sNHU&qLy8%+cu}=b!lm%&IhqnaCVFS#fUS=zl`Ct>yo4vk6u-(>U!;CX z`L&M0P-kEF5JOLUV)5e6%$A9xs$tc)^R`aO$RP00^a`i@enBS=l`jHG+2!qwpKr36 z_39rYrwrQMtQsmXcLJxux%04r>yAqrqfbnDi~EUbF~ChKf6IV++?TO?nIM~O&1Fiu zAuLZP_NZDiPKs>~!Vd=GI;gac+@dN+$6(;}cwKYSwj*XlT$m930rI*Pqr^r@f}Kcr z^X**{tEvE!Nela;kw3UMBNfPkRf#U~HFq`1uFg_FH~ZEXkPoipFdUIOy)&u5ZW94; zCOIbOR&{W&9kirDMstu9n~WP(V>?NGyCGbU7_L=z!W*>ZeW-*1VuHU9nR+_S&CWS_ z9^4@yQrXnl*Ur9^?vvj9smcmYKq-kZ-jI@VOCAy`-Pzor;FIKC~AnIxkg#JEFRE_du zH#B0&q+aZPUhF6-dB+q%QNXQ_XSDMmyplN_Y;5q}yR-|V~XBWrhISFaFAU8k6$!ku*yc^EJSGK*T z=KmJrv-}|W)j{&|Q29k__J?rgrdiT*(u&d(@*R>&7U2?b7&pUyR-wDvz_&Qyw99Xw zKbNE0@4L&_{_7xztJ>$S{4*m;MhQDpY&H;4L4auz-G8eDr11qq-w*6&e^fA8@^>Br z!b$u0v@3qp9<*DRuxmmcu?6CjG|@3k`KVi=D)YuWFKW~JOaVbnFj(b%KK&4}xuml7 zF64CBx^)%E!*m~Njk3gPT8+5sHpJ|qDdP~aq;(PO9%T5M_-^B_`~<+cm8-v=e?OG8 z*~-cl?h1o^ZZvONyYo0m+b^TgXw@OB-2?`GgGoNA*A^e%{NH5$Z)T`L)kW06IxI=<98b%6lU} zd;iB+CHAF5u!l=cJK>D$!T?2$D0_BP5;hA=VVhZf#%kkFlZ?@=RQAxazhDq`AhEds zgq7{P%O6U_+S`NmGG>G^_TNOB>Eo_1pG_M4=u(X_vqNHs79c<)55!(1c}OC*V*}wO z8{dE%PE)z|3zSu&W$!s?u>Xg-9gr~?|U0uB@mjb^C5Ev3=!e?GFI*zjmb|Q4D zyu~u@3=`&LVB1jIu!OhXiT)16P)2N6vDfmM}z$}e0Zi01L{OR))P zfu4}63BO`^8d`|I>r7G-zM8sey-&v|J?^%A((R=D$5wrax+(Cr*S?+LTU!C?AKFm% zThH_E@opW=^W-w@Hdz;)ORAL#zf~Aa6PkSkl2;ipB!Ak2QaYfg45d#1{WD2wx+u<) zA5zwZN{xUE@R2E}ozxcj?YE|}u?71ENSjIfgV}DJQ@1F~XP8Usa0{iV?=qWQpO2;v zZ%*CsfgO2a=)0Qsufd);lqckn+HkfGu_YUS*8xkbMMbG+PZ-5pIx5W9xDWu(4{*Ae z;MPsxlNSsOfn>me1GePI-i?ZjASVHTm#mzJl7?24ui?0DtQoTo zs!1+h#mj{W!Mq+g-|#}8Zy>e5meHZgrj4= z8?!cubAI>-pzZ=nX>G6<7U{7Tqq%Fdj{ zJ6-jjMV`da96|v>(2xaDnTc#7lvUN*e}?e2EZ#%xDgF@TCuW;Nd)!MzhF#ilBPbjN zUh&S~9u>OfdG`);J-nG1Jyp5fYHt>9{t)nNR%I0Sb;+PHh2|qcnGMo#QJl8w2aXxPeRIhTR9(X3!3R|_iCoR%=rf{e*YNuQ9J2MWPNq6ar z4!pI1Hcme~o3T7?Cn}71MA!X4BthWHg7F$S4~b?XA~449yUJQg`8$lGAYb32RT5)I zYp5d03mRD>Vh_R)3Wq#$U)jJeROYo@y{cnAjje|rbW=m_5v zdRhre4peW9JI6TY%}C1-uZa$T%TOO)MRQaN5+_TXK*8h&?#~4G3<`vF_JKn4B}QuG zWJA+`gV)!p1{Mu(u^pqXhCoacn)1(OF^k+Q143^xvVp zbL#KqOr9Ywh(R))QuiPaAe%G_qZz4~f;t^%wO@@YTXY1Mi1bq`U5>vt73?g58&5gA zGXtii)TcZ5eX>j{;)dPC|}Y;umdv*NnW%@a{bJ%bE9HM1yc^v49`?q&f!})o1m8}dVgcOqEpVx4TXOF@ru2`4y|3%+mhgT=W*RK8 z6(O@ep%JM|2AZRqIayLNy6|@Ka`{9v@5Cqi3d8uB4@&O^R@KgztCSwA@*G zejM6|)v@YSADEAE&J1%pcDX={?om(r#j7lDc9prji1zFK94xnCq5@^uO7aSZC05 zUNoyxd;YU#6dH<5$q{+ee{cxV;hLJs1^_YMsC=+b2Myj7GTY!a-XaVP@^r~n;5w-WnAY*kzmT$khfH&2ouL;on2i6_id@}sdR_6ReKn5@%}+F;L77DhvpWU# zR~PA$Lq(#_o)&Wd<$LE~$tH=!EFUNI+jRfk>=llRTR6cNap8$|?)VBVD91|dUAvex z4XE1lnX>E3xizcj@L_rUw+d)z`dP94nYb?R{>wC-2Wlp;wi=T(-|~XCVfGxN_6vh? z%O@zB3xze{mlYEogz~r)a~g_R!$qCdnJxh~9m-+< zUmHO+y#4ztJ!HJx;|xB;xnC|B?y6|d&&cRFbVA{Cxacs%4@gSJABt?8;h}6>RY)}U zb}k9K%06AjC<<$gIWC|eRg^(GEI}<5tiQ&0=7o96u#nP;%kfs=YF1SYoL;_|fqk%i zcYjn!!PA&59|J*g$S^xB^IAkIuG}MgpS-PX%t$xj)nXn}Snn`HfyZRcbwbgi^)=FD zs6EYAuv}CSJnQ6K_r6wz`$U7Gvh4EHB^h>UCRfN0>oF8QmleUAP=ENiR0;ep?5Ol1bMx<)P ztE$4zlNy*+vINO|PA7Ftq~gOIq0xAyhbD?C3aK`Ca&m7+=AbkI7Y(t#-b~w4x4H>u zZj^{xVV|S9z?36&D-|;2K51ql2!9gKrM(;xDaXF~J}@LE+sg!Tq`(lp4;Ai?l>b_^H}p9?N?P7 zRV(TIQAf_v`BC%S#^2;KEadAi;3bMhZ=9n7j^D%HhYl3gyyy<+^p#}IH+p>p4I>>- zw{&}XL?ScctP8us^h=)3WUiI)AbUe~H~o+&(hV9zDQ<)?dmhg;tZSyNkSKf!btpCc zm31j1>wLBpRv`YAS8^1dobY9?6!C7|e{PfB>sVKWPadRukA#v!b(vRHhXx<1k}NVz zA&n@DOMSSa1CaEZr1Qc9y0`qCHF0z6pl^ZoF$ia4Lg4a`fI&`~0(aoLagn+LQRlq|N5^ zAo?@Ty_40YcT(~JErnoFdR*_*r;T>$0D)ulk34{L2mpz=&?+f^;>O=4ZRfvdPTZ#M zx~)lhvVJ4yn>s?eeeZjjL=Y<9{s&aT4?=5{ZP?qoUOTkK1S_$(jNz z*h0Td6Ql>gJg;ZuO-W6E2>{ur0Ok9R5*P^K&cZ-$X5avZT%h=U!L(!^9B-Jyhlz~s zj9V8rTdqPRthzZZx1Lg6)q<1a1_o5keeHD;K_r_i!DZ5-6g0+b0Q$R*b|>%Z>HMFT zUP}nh?9$2{7&Z-IJ2+%5cq_Hl;YtTzhIJKRG7Qe5N3Q_~%5no`Jsq7tz})-WD7O9m z1A&SYcZZZ4FE5lR#{yqqy*2uG&M%%XD>_(xw_5yI*1|4wb;yuWmVlRmS0?QP++|gB zKYxLG@PAH&(tK)a1R7t+O?NXfhvdf*9}gpO7D`)n|5rxvc=^t{UL!E`&pX(Tml8^17>keUn3>qx z_9L=9pXlpN>w0}2baie1xNG~4aEF#*Qx>e4uAb8tATslC7%o9xQ!$=jE_X*CVQ(cj zt}IhkSE-cMl?pfKZDh11MfN=`+faqx>Zx1Ou+!y=nyU5fY>MsY@k@|BGrB%#I&fMy zf7hQMyJvp?-Xrgd)H@t_M6Yz)-%q=y{(RZqbke$g)YT?gIsND76uQQ)aAI{;TV0Te z@t9P)qS(&4Bf{aTRn|ste}4HEdCt|Ps-evg+l9%YLdZI~68eRYJi;uE+=( zy^}oQq7v`}YQUPoHF>1bgKy<2UAm3$u`IoWwkzme$12f8jI200yT!cXn)Vf@plwr% z-BhJX%=S6ry14`6?As!${;kAcOG{^H#qcJ>TwY;4qze*QhNm77#{DRX9CcvsvmK>v zXHOd}i_?jQ0%(1K`;y*ys0JjN1KW}kq$CXAMaKJE)9GT8$L0*PTpikq$arjiTgC9c z0MXNIIk91iyVMQ8uU zLx2A$raTpYXSZbU+t<*ba!q?oSJJLW2WS#E{5i8%_eRN_EOSx@h0EWSdPq0Yde526 zMsj0FOZ@-%8sBdjQ?B9TMqw}+!xpW2vVoOo$3vn|?*Dyxxe6SAQ39 zr}o=50!rC%N7bOy()6@2%<7C^)zpoujsV|rSO3JAl$Z*CT{W0^43YrJ_Mn~?;Q2Aj zd3Dkz=BEy?I7rBkCljCkJEYP;yF5|ucJ(;9gp94ebyloA9_F{nrbSsP7Au+WbZ)t^ ze9qsp)l0SXl?>D$-RZT}Gb)M87O3hX+x)fy_TH-_BOCf2@VMIzlF*J$*=Zt8L!(BR zTETTx2nyZ7gQhq1?GWmDTs`;EhQ85}V+55CSXm@0=3d%KPU~pyaU2D~hiJ(>hp_C2 zqSERdTekq`t%i}cCBccsRay4VLGDNNIGk-8UXIXnAFZ-=7uLeIlanMi33PpWqwGzZGc^&=nRnea|NaiXT#nC$KguRg@; zFjIWnUqNM&XRbUl%s3GJK&>n3u{D$lGy7*ta5~oM@T^4#>P+7MLU#X4uda)UYWq6k zz3wU|dWDqT;HmmB;tp0I3qB5^%}2CY9sWZ~qv}cWPqOz#awYkt zVfMKTxtqb&36J<(y-k6*{Go|<^2nP?XLx;d4Oo1rBJAW;$YLuQ?P3oWpZMX9ftu~R*EY_5 z>qxKAn}=;AoSJlH)-f#}#G4B4{I$Hh2uEFMx!joWsF~ooB)hs%I&KH;M`>RX{u zppQp9s+yUpG8&cB;`Wa`y;aBL<&N%mu$7#ct}8v{IlaZZ5 z=Zq!ATK!0?TvF(_71yry!WnJoSz3fFUExbel3UtEw-Cd>$K)?;JKtu#>kZqP{YrS_#AOR!cJRfQ$C&JWVVDMyly zLYXAKMK@e#{8`quROGJhxW@|h21{q&-^sT-qBk4wAa}2+LTLUe`D=yE%`~!&m;dQp z^Rse1!g_VVt8}YVd}~=Kb&KS0C0xZ>O05*hZ^(wj(LXfpj?Ltv2gj zo8?Ha&UZ5`5o>v?l+mGht-Qj4$}B;K*S85};;G9chJ`QG=>2rtb9JnpBl?`eIEl08 z=F8#vJ7>(744v9t$Nn5!hks;X6vl6}u0eqaY>4|9XCt>DZ~Z{tULNz&c1aGSL$$ev z65-Dm;A_w05pn{E{A-9!a0?dI)PUjhOP!6*ZEg-q_%@``%^}1Idxd&YNmfpta)EM1 z&RUkbaOAbpSEY9-TX`D!9r>%W4Jryw`9t|r#SViZe<6Rv*rQ|A?vR9|{=&j7ajm`3 z9#wZr`#owb!W-}fozU3pz0hm`9__JPUUN*ob?Iu32|rp z;kgF3`_32QV@_zB`;`4u!hd$xDOa20WWvcA?On%R#~mt3*&W9n#uA)vzN8Pqkp@@8H+}ttZw5(A?hRnQ>%D5kf1xQip0-5#VERy0HuB#4XRgf zb-G*_%N++ublNIM#GVdz$~vmkTjRb=*K(NNEugEZdHhGvZ3=6HEjCLRzdeFE0oX)7 zxkqdEzTys>VMG}2Y&qaOYTX-Em=toaod7orjI7}FYP7j3?FLS4rMtiskCPWEIKdHW zkTR6eV&dsj%fKEjVTzk`^Y7?1WFRaVrU76Cf;a{N8y;#fUq(YJxDqy{6sL(Qzgr|< zTp)2LI~YSUY(&;c()klTBjOkFI^I@rEht}`=}2MBxg?|{J$Jt&7HtMYDna2fN{boQ zP`M?VbKqnur#jT(B?*1#y6e$2szFjX?!3eW28EfE_{ z5Z5feEJ4dm=;L*?TbY`i`5n))QA#!1CwiHc51K$u)Sb^-%!#K(M9x5?C{R{pY?G{9 zI8Ny%ES#_@NnN&NtLCIm^Zw7?Sr#}eyUL#GU%Li(pajnQ?EiJ*rHbr0*CYGnEAue| zWbHU}Hi41@^`6J98-3-YuMD5!(ezb$i}Ge;kinU_E6UXSAt{Z>rnBBLo3|CdTj#P) z>#+3d*L^d`u1QC%+jU)z+jxH7UWLk(m^2EVnVWHB>E@UNxLY1Rlq`Gft}!F=UNfri zNks3P>pkmn2PCm2@}SA3!t**oDuLcZX9^2a$-%@x43$EZhDiO6m_Xzq9#n4qn-$u3 zwrt|f%dPMg*kK41v0d)X^U18T!x8iYdNmW93$@Z1@d$f*-xkI3G13H5CV-D@o?KVa zpOpJ&g7BCCl0`|`k#s4C9-;_@IFM4PRB$Q-SxuYTi}&+2B-&RZr>_BEkOW6iu0HSQT6zh@E+HVE_|mVKdIxxk8`>1o!DGj-sSrnCDQ&I zXOi=DGG0uOBRfl;Fg`o7AH&WekdqSmQ&UOR$NU5#A+Oa3NQXY4Q`HpCe7r)w&$Y$1 z9#KxO2rMM47A#8d%Paw{pLz3Pjy^%6@B;TDR0rTw=z~q2&(;o0mcIVc?FS;mN$jhL zoGYn2JEhaS=%ril>EShyttwvSo-rYb-8%qn$t^8EcVb>;nW95!=uZ`UuXQ+NQ_LD#8ldFQlyV_ z8HXb>1RRuE-_{gBurj>nfll`}UR0XDDRo=S6+Sd5ZX@FnDtDj4vPxo}(%t{AB*>(d z)E=s3(*NbiN^unI%{*&L$8QE%m_qn0VNpTH{VTY6%{GUaZg zuKcylw5TpaOh234XZoLP(=yv!^^_y0E?1bU@>yW%9UfOlfx$jY+qzNL&<0zYOH9myL{1h`)?iN&`dd|p}^n! z7iWqFt?}fCgs5W3CA=oLvS`R4-gv;)OrWhPdkYsRW^eYJf9z13NEw#vp2vP{7nYM9 z@z^+`AT4w1v@^RXAqyE^1G zVw`VIzDvSXlD}vkciQLJQ687Z7k>%5uqox8f!!zyy=j=owihOFIgy-@n4H}nMx$i+ zNr1riQ}Ca9vDMU~rRM_Hb#a>)6=&YvwCPqv(OUE-VECHS0RM1( zorRg7`C$_of#;R$EI$ml@aH&?&=3{}=9!!PONO3bm9Moo%xB_11kiGu5mzo%(E(|W*UN~m%89UW)1r-Q6OpSdONsqpjp2Ot(n^TqzQUf6`KywCiL*z>t6&C{%i zl^o^l9z^GW2ADjOt;6+-B{T(sGCl4f9rw~S+mk;$^ z{DUY6{rJd1(1Yq-c<;e!@mgz;u;U~(pzH-z+=z%j16r!JPW}TrHQZXizX1Y6<^?BO z>fEHteIFEep{Lq@NJZn`0j*X}C-YA_sZz!L7^r+oC9Dz@*r6B#%+y0JUf{XM+K%O5 z%i3qnkSH@DwvS;Aj9W0tm<|xay8t7gsAFAfq1ziNn1Nst8}HI`b4nqlDr&X`5))(f z2xedul)Z1uE9MQZ@9iBK85=uoc&NO%c>jSQwHz`$bH)`l)%uP=gGf}ueTlDLjo?s$ z$T}5ud;K1)P$#w5?b-M*wYsf7Jq>*bN=t96o0S<2VG8A`>R3+Zx-H=ZzDv3TI}~_K zKtLVAwuzKs9gFZR1mcOv5vZ!nbzL3Lx~ZL2ELrwDN$p|S%de~@7J19UTnUIAz$3Xb zBA{fs!4ZjJMc%bOP?dhKKW@dKc3pQ`#P7^m*Q^50?~bvs@PM~rDTwCYGo3SZGSKnk z?+^E_RQ~`_rlfhpY%0L9PhA9Y0^}0ZSl-pTiU5kN?3J{ed?992iu_-l6d{b!&^W!t97dh zt7nGy_wxIp0OCNv9gF-c`XYb@lTt1dK~s=an=7sdI8z6JnXxl+3Q#O@-IZ2egk}Z0 z0NvAKnfBV9U1WS~unHP@bWsc3!=yc;6FTAu1aU(z(Z1hH`ZnY_K+X}&rnLV!+k=fM zuj4ibZPja!&x;?05_)@ycKx-r#X}Mc>+MGqt@D(qX?TwE6ZjpAfQr9ybd8y6PZFl%4DfeL*&Dg(7b!f@w@i zj2)gy4>kF`dEl4hKLCM*hk<;r)>UOKhti_VXkzQIEM2{_TZJ zSRGrEJGS)UgfvCVXd%c#L9NT*Y8S5)TFE?oI%csOp`rtcAC`KWJiqwjRGUIa5yKXTRWOv{SP zW~}#b%gqQ$4{p!(NZ1vb%^hjkaaCt$>W$?o(}$)MX&&`08eyybb!p7YG%R6zo*-_% zStPKyoB2rXYf2eo)Xqu>0XRU3bTL7ad5`M*r8uKfQO+qS=MBMea{fHE!s)9gRK)+3 zGEr4UzVlRwsD~847orT*s|ud!(keteAq12X;-#2i@|3Fuxm}VlUf-fCJ;$r{s!4na zUcM4f{b6{cyC;|9iA2y;QxZ}&f_wc(a05#XI2<80k7E^_AxkZi3@j^aVRxL^>^7Ob_S6Y5u&tBC9%x@o1b>UV_z88v6zBou;Epp^(tqoxe1)JWq zLX6^&05_3NIkO?P_-9EVGV6l`X-`5QxvUGiDtpMPA-yKLM%)l{sKHaApYP%5ZFJKr zR>ta)V`zM}lFFitCJ;qEqpd{*mMenOLQ0?}Q6evK!eo)(=gmy#4Aj$-=1%U@W5BBMycfgJo z<+z#TBC6zRsx;upeL|I~S2LO4tnTCPTW>U3X1UBFiyi*b(lapwM1ODEl)b=m!Cgax zs)TUQyg_+vu%c_pH&Y-?uFYz}stxr(**^XGbNVI!@#-+!DRmLGLAoH_IsJ$&UV9oN zc=#`&-lj}j7GUBqFRhj+iQGTJs9DV^hS-~73XFG2d*ZER&16FeF|U=j+1>c<+K}2u z@Qh@I5^9OOJeK2t@fz}^Qm^YU@G50lL$OYCNhp3UmL))Y2Dz9MFs%#?Dv?0Jg6 zV$n;z&Aa&yk);Mi$il9-nupzPd` zE|_1o6$aDR|F39^B74{v`DgM++YxH6-RBhHc@PHS!WFHDJ0Vz%JBr2|gZvgl3P`Au zDrfd`Es*{@GD$nKf$(JG`c#tFSn9+j5?tM87gVhG2bG)0no@J1-);F2$1UzJERG$^ z!aG&4y;ZW?-}$i+#C9!vg{PA}m2OW7If4M4@@s$}5mm11m5`mP?&6aY9t7@-65;LE02$&Il8gBz;kB!3emQ*ocX3=7?L3q^K^<&Wvva# zUN?1o&rq%0|9-~Q#t=VNTzFlgZ$^f1XC|I^HBYD3 zZ|f{GmD{RpOjP}!*2A^j8HP@71^HEAdZ%1e7tT#@_oYT_{jk zoYC=^^mrvQin?FQ<(`=5GG{>kMZlkz$!CV7NNT&wbm>j)`wods5$ZPfMozvB+hbn3 z$_4P*vb^oB@?(+J>#Tn*O5jA)U&jS5EAgRBQEY)vkpl?AWaR*0b(6cNAG|xM;nt>A z{bKECm@DWJeNT{G=H|2U?!oXA4%&&swIR$Ie`08u3B~;4AJYaBj>ma2FZLvTEi?nZ zt&lAOf%g)qqT3vOmf#tDkbYdp&o6E1+KA7wzyu&(gd{Qpp3RivH6z^TzQ9}$flyq6 zYgn_i4vfEaculM+#+4LLYzDw7UielyW-I#?baRbryb;>S%auyJsS~XD3||t4~R3@K@<}WEJcd zjW53+n)c0Z-w?3!@hQ;xFr@qIP$O6}Klwt(hO-f=DT_4=G?taDB ziL0FtwWGmVSeAtY#6csIUoe6elBkN7YK0{o7b8l^^Eh9nyqRV$=kLVG;VsUJUdArq z)+Y*#WOc#*?BavacnB;#a{um}vLlgYv6Hr?f$}OrTFuJcg~bzFQz~l=q4l-I?6iRN z=txez1Q%4YvL*RNorE2g7WsCJL4xMUV~SGWS(G+_;s9jp%)6^u+_C|s02>sC4g&o2 z%I|?6ij7Am2mcvk1Bg81^lzS*kS5}6^LKTOy+2GyT9mVtZk&y)O({e#^HrR2*0MXl z8}__A>JJ4CkL-_(?hL%f_GccAx3dwOxZNoM%F*4Ts-LBd|GBq$4tIQBeq`Tl1Fse) z$-Y42ook7pXevXu7dHH!|z2d*cX8Ip# z{kDk+QwQJGz|@gMRJxTHo|TnN72+7l0D(^>NgMu;YJ1l~a zd+L1`ge=mW+&!(obC2F`jEOzRx=%?v_9TC*?$U7b?ZPK%CTolz+&8Y-`n^Xk?)I?~ z=KYPj58d|7bo2leFzOp}1-0l6CmpT)Vq7_cs&apk+wKi)XKGK}+AVSn-2Rem@dINL z#q5j2H)&&SE7Ktrt3;Pw)%1zZVKF_?q&0DYi);pejt{L4Z139!)uW>&5tWg&8q$&d zYQzag_heKG!Vh)=FQfGN3H690_Uw-zsl86#zSUmA40w~A>_VB_ic2YEP&jVFGdTLc!J;94=7^~+UF+< zNCIV!sC4bz6>ob|mVG2|MHFKDu|Ju^*%g7ytnQ;hp$~Z#vu4}=nz2JK&Yzrn-PW^p zH+tlfj~$O1lh9a4wsxVi)&APsEmuCjxvgJ*nQPCZl*sXqh?JD>zp8fba>$!$f+iua zDk*`p2pw`s_3YAOK;`VJmL*L!(4BLWAx@jU>pj&oXv8I8fgM#d2C|Ni^?6o&433TD zaEK2G(`zg?uGZD9id`#v6ZZ7RMb4L8z!TJ7+0z8d)&qHN+mtRU9Z`CfO;5A))xZDg z5Jc}0?%gNsRF(fzT%s_TS5+r9`;@*qnIqw7&V@l0CCWuwx5}I~Vzttos}wd(F8f|_ z=hf}gw%S2n@nfyOw5crG$6I zp%;9$_}WhPcK~EzdnHly31gpm*wJT^{Zg}@pq#})IePD)ShWX2PM&-<`Pq@P5rmcNLB753es^X2f~1W|_^o1I&Auz<&NSHfmi1H{v*L*{8t1yQ(X;9&T25C| zsAdqu9a^S%sgey+x6K}}eIAnt%=gsI9;-#y+M;z{!1t|v+YOnluowS5*1R+1u|q-Z zY(re*qbEfU&Z#NaE{kF=E&9jzM?(Cx?wr_!^6p4Md|E|^d5p`g(|Peo=iEB~4ErRF zh7%`>ScUd>AIUQ&yLs~hR#8eXxw-$ENnYvG#oGz$Cp22`|5;lZeLnoelWrEDoY?Ec z(XHkg#iMrUtNv7PXIFaLyts14F>4KdP-E~eX8OgQ>Gl%) zOhDwfUV|;&&^PdKYJ_j8vAdjd&7|=9MB=uz3vh5tbn=1119BAlk5zrjBxh|(bdW(% zgS5kTt=-EE9B30N*|O!$n=SXX{aVm=CdFh(t7?2Sw@}6oIiU0VvEDyjU4ME7cN-Yn z?gAhY0DuS@cliIKOq<~k2bjRxdd(nuz=i1^xS-IfA=UUU1uG{kdYoc7`|b#Xrw=OM zt|W`z>W0p0&W0?4wKwWwL*|76731rYZ=NsO_g%q7tY|A9x)Qe|P)@2D$T|%l(#JfX zMB-BrUsE&?I}Xm)Oh+HAu9@BMv+P!1{UJxQsW_L2%A6&z_W~WQXK`JycUZaH!W$S8 zTzU&#h(ecFu=@;$&b!xo{p?gz`F5c6Y}3l{@X8Q{hE}*MBl?Qrp`5C-G8-wq!WLcaLM{2QQ?{dvP@$dI>&A3HC%GgKa ztTc_@6Pv%q*5q>Gt1sfz4Kot5m6GO^s4?rjQ(CK~6i zdwsMs1Mz*Gz4wgQ^`ae?U{VKF1Lt|CtO#jtqE;LlZe@7ico^8PsAKnrVR7J4wd7P6D5A~O2YX{c0+BVIFD-`b~(KTMT)m)-DY;4N7F!3bYEvH=O zw8lx8O++`GPZry{(&MdiRr(Cd6gpAbgPSotJJJa)tC;IL7~y*Bulimk@o|v6LcUr{ zicv)C=*D{m(wCNa$8TjNv?_26*A5mpe6=lfJYL;+*rU*5RQ~NMZVZ*>ea_pNZ_vui zp4TYz-2v~kvV*4t*Vd0agHj&rli=;pMSiD$>gx*yz$ZS@6+m89wm$!o-B&dWfWRd) zBUp(w^adi|w&%FD=xuj@46e86BP{5DEU`oNIO&#!omY;}Pd&uD;)WR9NcS5z>*GDn zw#CdEIxEo);gg;yPUWmT&BAUXT|3#V;Y11w3M+?AeFU{xVAkgs2kg)2)5z)!Pu0FclNz#B-?$EVx zRIcV37GXCe?rjqKeH@89VZ*=wZEG&XG}9j3=QpbHwgb3Jblr=TLi>CC5Z=!p^Pag{ zJ)@C-`z!cKp%?n5;pCV1cl7<~lW$I`F0YVM@gi%kPc>+=ycJ=&y+f5tkT4rhuZsO2 zP^%<_FS~nj%XM4964t<9X6s)fE|7QRc_i#ODI#xJh&waDG+HO*@{^)RCZ4SHZ`tfM z8=&%M$gBxl3p|iOUUic2NB0~0l+0H!Ij%(Fu`Z}fizb5rLM1#qf zAN<)s3GuptNw~=3G(7BVoI@h*V86&V=lrF?-ZvJ|iz@iPDW%5_Z0mX&NDg0$dQFsz0rFIT#po}Z_E^|Zy){2{g*c?4<954(@xJKZV&hT28|^%(^pbnZIM$^O~b&S73B9a06;F7-`6OMF4A)GeU>Yu5D5g*Vf-5?5YJ1dp zePd7h?(6*{Rv@AV`yI@sDV;hD&+cZRo~S6pz4B2W>hK^O^v8hSDyhm_!_~E)lC0r= z#4TWG_`oqKI=_g+1%}d@oEW#lZVx~$$j;q?+9y6^6DYEu@$b(*ET*ZkkyS8`E>WNE zuYc~_FN~yfRVub?qTZ2GF(xKEdz?Kyq#g-T0i_nTkYvM!QWY2_q?H||u~M%Iz@)v! z;-^MHA`*$t_7w<*Gp=CAKV9D zzVQDa3?B2({|te`TO+C0$IRgnyjljg?%FTFgb+DcO-7xl+lPA+;KAHC^8OwI$eEC_ zoZ6}6^v~iOw=0STXoj=H!~b(cW+5Rj*Tvd-#@P#d+_?16J@xKqFg%GB%&8}^@X zR`WtFMQJ$6w>hlP$ud00$Wwk!2}|3l#BkFmhr@!PhX;TvkrmdQ)^}r9M&I^hryi)D zOFzO|K}rzW#=50&H`KSh^I{;;X@~gs%S%ksU|q-SXUUFmBy1^%ar_IpqQSA!jaIQj zAErZ(Dr4_}{7bKCa(aIuku&JphqfHHvwSe)-$t{F4Pf*KTAM-ynNePz_IiCHA=Rl( zkFNM~A`8D;-WgJ|j2iEez)e5x$M6q^xF8d~A2*il3*iZeWK3inNGn*=>GxD{ox8U6 zmmfQwjNiLgwa?GnGmnOAK5F`>S6!f6_XPp^(SnyzRDSpeH#xOMojjXz1(lI$@uwi6p;$ww{h(GIasiWY zPNqh$6O~Kvd^tH$Q0JKT8e(BB{eB806#|h*7H(LOfIm86E^q;6E*~BO3n9X;L*ZtK z0EFL!S`Q@o-0y(;z84DW;nv-rT-b?fwzR8_a(2>Un=$(2z(zC+3ME1y5C|W+LJeyo zy>hZF9VDmpB<#ukT!}YJm8~`2bNBOZU&IW)(JS@!v7;4swY{exitI@gyIAUmMv+dfhbcfG*UTOs)P+I(p#t@!OC)kW`bXDpV+m32 zQe6$9zg=Zq6+<8pcMx9c%DT+}@R6RcS2o_NeM~}p`RLNInW(ciG4q{L3=Oo=aBe-4 zhYTGIVi1%aK0s>*v;G!Dwo=#E#*9J?z&vE@7DUWXOP%N5XL?HOGKFn#1;5>TO>PB6 z=Y2&>N5EH<oBbrabh`Y z3qxPPeo*Rf*7fjVt(nSzz%lTYK4RCYijmXYY1Vdz|C=^58FgO>oXI<8Y90f)FEJ;1 zuo*eGL^zva(I5q_x^62LE?U6y7-n(*xjw;K4$Q;zRFIk$&Y#Y#1od+^r|Rj;8V%R( zAMK!bqgD(btUxLF!RiQs_TYCHF{ly#yR%@@XzvLFrhHm=vXG0ahWAyo|7r8L4<2Ez ze|z{{=d%7Hs+SNo3y4_vAg@jLp+s0_Y{_c^VWW_Ex60Z2C$Kp-5+SFwF}5mTn4YdOpVi8d2WxACwK?(wTJ7cuFiuCig@(&A zgEey5VNpsJ3l760&i#KYjuu+MEUHha>Cb5GPYvig`Wn_)6$d?Fr%%7;Fo?knjuhXE z92|_iS3L4g9n3qx%6nV0z8;+X9Mfem#a_2Z=g7|8tiUaM3_89h9Nd=mR-qOdPaZvV zU54|#wa3x+G{%ohMtw0+tXBb0%6Z}wKu@K9YxnV{Tkk7@xnrLZ3`btN%croh%9}h$fRAg3r~5fEUv2F?ew`DbVpE%N4HtN`|X z@7sX+?i$ArIa94w60cVPfgw-I8luvbr0HO2z`8%1FPJ@_r1J_O@NdWYBKMgZ29G*8 zg7`r;0#-}LBc_p9t{=9DpovLw^l^_%g^umqc`VVmgF0SNL3I#*-`(pn%^z zi(q7tnQSt3*xDWcb`3V2HDc2J3z^5Qt+0Vh)Ax4k{O!>ek8cZzfQqim4V`ZjqnQdx z(U7G$5Q^v!FpB8NO^p2c?FoNVf63Sv5>6lX`~{ZOCQI)--3 zMF?UJO4^h4Fp!i>B9LI@M}JzM(bsOF*+^DaN~^NI7L!8ku06qi~X2%kd{V?eTHWTz%dFj>j}T?yx{aH-F$- z!1EKCceWN;HRa}>-su}K6gHFpzSEe^>d=ybAhaqe1GDJtfb)8{M;7W+JOM67IU?ua zLt)M#dW5c{id(*Z#ZW$)lHIgp1CiKTLjR9q%rtBs5W zfodp9m9*8I8?rixaawOBIU*p86`#rCgU{hKX~5E zfLHS{O)aaXH_{p(*qNT9?nrW0s4@z-krW+C>a^}W```%c;^ru~+~&Cz2JH`=4K;On zcWOd(h0Fit9Et`(k+84Uk8c+bhV@)!8#7tqj{3DsT<*%cYiuKP|8vmGf0Pc(ugn`1 zM-vX{V*f8|=Fr4KS}>OKauv=*xoCw%*cx#;;r>_a^PkdsvqK$>9XKFBtjQAq(?b{P z1vHU_w&I-e6^br5qrz32dtawq(GY--UwtDXe0r29F*3MMhmW1F1iG{Q~9EjEcD;1^ddH6j{7%L#klChR8DOCnXZb_w0aTTWQ>@HiwDn zXiP?u3auGPPhGwKgofVdqYaHs6`kSkBHP?m?b0!yP~g=H4_grO9=VMrfBomA;m43jr2Z+86zdY~WEfX1T?JdSS5b7@3(9@(KUv&Ewa!}^=C z@YNGDZC5VIdon8r*r%-S%XE?#V(@^K#Y&xm1eRmh3j`wSy~_nT3&qaEkycKV6N+Hs-MIds`6X-C(Is)myLbJty^QX0>P7dsg$8M5?956AuVueKNd@&q@_h!q62|?-?G{EKJ8TgR<=lmw&r=_zjry990o;ft^oeJW!XNQp~8D2yN6oL*2$1klFP$Ib8h(%=6y$c^E z9SBn+mem4qOQ6W_fJ7dc+W|!Uqze1UnhX5!>KaXmIYQROG)Lhc^JPHsW{!T|yE_A6 zez#XoYYNvxOabWejv!Qq=aqb*JC@yc=qcimvtdXUlD7<&z`5{xu03pdPWlw0Q(pS( z2H$u`hv}~{7^($k-^O?$Ww-;zxGtJGm8QVrTqp_$|0r&6L1|CjK($AN!?Ap4JMQH@8Aa9@G|DGS zJp4edx_k(Wm^5C1aS43oT;+fJhE^3H;_VxsF>s&{C0oWLQ`GO^BkV@$i~8dC&)6ff zs4b>Lq)GAG% zCM>7Si{DTetjkQUS>fL#IPk!rKK9ZN(LMOWTgTRS+&l&<2}2lu&Ljd{n5CXs$yqo5 zn^z=R;gf%{tX`0uapFcLMTOSc*Fn=1R}->PsT4QLd)4sht&fTkWD3zq%%hh)4} zR8UUkko^dEVzQ6B)SQD|9+UZIf7 zZ%2H-o#7)_Duaqe{pm=d2+@aDcwKEI@7mRmkxNQV&kr<4EvuIpZ&B+*8=b1Q+A`6{ z?Xw2DGjT72RG(eFDe)Z^JT@+BcyGTid_zHArdwk|>N2V0d_f7hdvAZxF|CzLd+`P` zK^0(6t?>*SMmW2|JEzqrAij$^5(E;)fIwnW!(Hx_qsq6@aV%EaZx^3DD)5r}_-wrq zUXg+bjRt zs}9U9vKC{UYi=(3%kOp>mLxwqi|>i1f$!Xx-^IZGV#j;m6U||I1Henb!|L9nWSK{6 zc~;i8yupR1TKTWdr8>9FCt8jbb7z|_0=ofETo*4Z-)Z|UgrzlV%04Kejtf14|32~v z%XS_L+w^xmH(Y}>z8~4(--vnf`hF?c$#EG@O928G0&}Tze)2hgJfheOYYm*>w|is( zhNj=vZ~4QXJD;`3TIh|0umt8o#8Qbgr*?9~txe5=meI2L63T#{my0IyUp}>PJYifW z5ZzK1^IvhFzs+wAKv*JBT~t-xFnPb|zIGYlcC-t3*6RJGbjn@jRn?ak?P=c&hddQS z)8g@Iu6R9TF?KgOiYR9J3hYhlYxCNKI+G{bstUVF>WU1N2KQimdCmwqMD4t$@imfe zj__3uI=VwEFFrX{$3`e4Wl5BLl}jPI+TqZWlWZ`kq%$_L*>1;7N0((PHcn*?FUyP? z?bMFf#j0v*)tcjX`n0X{W%b23a(vN(kl=)r_nW*Tlp6uNXgF)(=TFq0c zLvjk%ltSZ4o3d_nhuYSDwJpsfTH{u`f4kbqcKX&G8%(mSLIE3c`KKZ|#g{dn*uy#C z9)LJj2EOXJc&rC#>R)7D%Q};Mcx_h!D4(}}tKSX!P3n1pE2SwT5+%xlwV5Av{i=nX zf_~nwz83q3(TR&HxAdg9#Y+>Tlvs{~ukSqg&(UYA`!@i5U=V=K+SYm!u*OI*l^nFs zX=_=SJu=4@7UbdY`{iy8U;Ec}|5(5NM^{$TxsHyrfmvNIOFT;MRAg=zow&GJv+d^f zN=-IE;OBDPjhq|vPWxhNzVFjS9XPdoAkD%jgERm(*b+=Y{vkc#Nu?AQb$@#5Z4R2s zkY2spNmV+O5P<2JWdDuB-HZ}p4nJWsXaX;gu*7NZdBr=}*KP(;x{3JbZy?z3kdr8j z{(-f3BUf<-_~!{pVJD6ygusKR@**+z#_9 zUupR8uaaG&#iBsBkip|rei7U`8GFp^9aXe&t^7^>*;pOdkf8-?`ozgo>6@unIy&#s zKvoo!R@uIQMiy^b`(7xJK9Pg5Ifgw}#EUkT$JQsde_T;h7pswSZdX`o zBSt(hd087`3w@5%ml>7RcLn^BBO^zV(9mOrW?HmyHMOy3adL2Lc{&>mzfYG}-gIUR zvQ(uPmV|mCv`7+D_a;#4$`4*Z79Nbok%`0Y9Sy^dOFK>k@$5R(jS-`_ET71?$G^1j z#hG8oLeZ3y!I zIr!2KKxMG`e%y50jm)j5zrxdGk|6RbETSD?hO(x>^k(_Cb8uRYT*DnIqva{A%}LW! z%?zE2exenF<@3*R@AmFSnk+t(IaEI3HZ91nt3`wm?IQ@KIu4F2GPNIFgW1w-^5Tjr zzliSakOP*e2+4~lXJqpP?xT`+QJ^t(OKNuLq7nQ`U_{~f^uX0Vf+JtzdIy!v3*TE2yxCq+3 zmx2?LZ@vO7E!oLXgADFuhj0Py?`ao@9K$>RJRZX#?8>k$SNF?|r3xP5aU*ScE6enB zWo2B_tEVq_xcR+Q;G}N9c<1B3U&`F5BT65Q(LlpRp!gFOz}T3DZOMUSZxE8V`)k*N z1pVct^9@hQl-|Lh@LZ@r5e~>B@eQk=Zv)hL&FJlozmJ^-vaz?bkE?{3W4|B?9Wl#rhXOZA@F^c##c(~_f3A^44sA8$3F=Yvq)2`RJ&I76~~@H!P<-0mJstYKMk^W z-sKgB0TZBoVR*UQdEOeOoXp@X?j7Q1#^VJ=N6~R*JeikR;1#*8w0Kj3_tfuvYGkcg zlALYL&ie#>9tu!z{eYXNOosb&YI;j2*As}Sbr*4<{#7@5yMvCd+RmfXXPZ>?LQ~cW z43IOF(h6MlNq0h_;<>zwepxd2Xo4-M9|&lgk_ExSSZyl2d&6@uXGa3mru04xOC7_2 zeTxNLP5zdtLmE+qnSt>7%*McATI{_ggapmw$ba4 z)47KnvtHpDgRN8Gd6DmD&VU@!V-#;qkolx`T~Nfvh6ST*^iw;4i!0=K2GrR(yB425 zx1z7lCDO16g5L&2!UyWzO^JT`w>I_7nVv$&xDn16db~&w(;2%dxz5GWS!@?W+l%RL z3d>o2*5&Tx_q9OdM5w!~h?hpmOUgYmi z>Vw5{pBc#t(lo#3iIUn=PL(2~eA%106>GSzBJ4=nWSQ33(9U#p+#cGAG;K6Cc${!w zp!zL!oX6YK? zPhI&O*L7gLVKK|yzjQ0m;&LnK;Ar(MF>(?R5;318I+O4Ld6FyC$%e^z+pvXz{l~9jfQxHf$)q$Ogb2+$5*WC2&13Btc zb|lHGdOF1yW+UPX`?*(dB8OU(XM|dJ_Tb4nu{2yl-EaSin=LoZjtvhQzi(aj{?xA2 z*VWyZZK&l1(=@1>ty>FcK=r+|ygG0RWE?!6kGnY(sWxIc3{F3!r2vugB~K?sq}csb z*>s$l@E7}ykdc*@i7ikw)1dHV851~GR7?paz>g7f2uen=i2HLeyl+Me;22Ebi^j89XnvHWgModvFZwFxteCyK_{Pfc`AnRn$l{Z&4W~^yrjq~P04i4Zpid?a^vu2|4`97BKQtU=SAMAT@hYg!+U8x>1a5l(k z(q}(LUBdg{{}lW_cLmPA9Z(({PJO5ffHP+-XyQbV#q3g zT;LT1k;*N|TQC}{og&qHOz}EtP5mBAdbb~5M<8m&Gg_RNN?QpvQB7oRPq!G@8=J>B z8VMwEe~f5`3lqY{!Q7CL**EZwt*40;t%UYAGeSk~8_lQ|*+?I{(Im zM6Iwe%GQCFR)G>y@jLRz)B3 zs#dSsj8h|R7nSjZdgw`zOOz|qmmt4pks!F_i1;7XUbJ0Cz(oD zbOuVKkK|Bnk6Kha)c7r81k~>!B zER=eoTxlpY+10w!Bfp91QnDKHMfQA@lk!iHeX7{aKbI{xi%wg_XiI~7R5UWI*rr`y z^!fLsU!velyQi>BR}f)mg6~7VNUHx5Cl^>S*vrI`Z<0SPWEZ9&R|YV50^yR%glz0C zj^_?F*>#p(F`47~xliY!W(4pzl_dS-b`I^$h8ZYJC?-nae8$odxYcTT=i}WQ7mjw# zgHPv--!4z-8`0NNptNVs+m^UC1z+DSj!*7;(4E`?{$HGn|LQS+j9Ru$Q0Mt>bebJj zeHFCu_jeXCcIaMY8*LR0P}}X-l=Xj{ULfjIKh&6cNM6Gwm|=tRs{v=kVXMiX@6%dx zLr+l#>wYSMIwgGbo6<<=B7&|ga_(B{^Vooo`bkYEnk}vvDj;g377=`jAcR>i8tPZAUT~)gNk>lRbaFvK3 zWD?)4LaDVe;q?lv3x8skl7JoX=$CQQ5$dnY{d+OuLt=6)#YesFT(Z!;@3W#F*j9AdR6S@TTvC6kCu--xuKO z%(~|<I@d0!?Ze^g<`QT~8HQx3YR;=bu2MQm^$aQ*E}bi|yq7K?87K)e zIOR1`-F(r=sugj$^Ap%yeFiYZEoM{$$&hb1?k`=>>__`<5w)(jrLeMxqql7GaA1fgXZW_ zjvEU2!V#?mf)!f|A`)i0DSej9*3%r)yLVD@COY^44&(BZIhx9)@DVSl!MaX4p8KKq z`fH{%V$bXHe%>x*f>;tBe-NyB%F~m+M<(j^NpfhL1uyMtySiU9cTqyg`L1$AnkFsq z6g_0PLKn?PReWp!6$rgew@b@KNcI;?fa7)yDh+sN-vlFNb@|nwtz2Jv3>5G&e8d+0 zMCAq-v8Y+|q9y(P|LB1B`C^m}GWACf5Ja1!6V(gpsp~!%B}ww!q3$(WywZyIjim!W z92<}wiR&_v5hXwOdws{{;_Mwm=RE(ty!y3{ zO7313dtvL9vSs+|`jZOodR1h8n+I1VWOEFnPHv&PBLo z|3{e!zMSRyk!UU&*;xx-4>t=TA8X}|NUNAA>}1A@a7(gcyTggq!|Xi6)&Ako=o5S2 zUXOQo-+_dk%60*Z#ar~Lti@-T#T;J`U16m?8+_%l+iLiq_V+N3ZgWJrYDjU*$!)(2 z<)_E6eG}h?MP0}LQpqIG<`=jx|K^w2m{etqeH&7+1yp3E+52@f>Ge&c|1`!taDLo< z?Ry`q?!;wX3uJcBLmiO8CU-{@6GP)Jkq67jz-m(rI6PuXlqD)Mo#Yn{ChH^3JoTrG zN{>9^GkZ2n9r(P zVNJskC(vRmgm0vq83Mq~zJPen*TUaG+-9HenJyK%_2mtJdY=h$hfPnamJ?W$iA~csmYBI6DmDi%%vn=XSWpGJ$OI5;gcSJwdPv?1Bd?m)mrlW zJ$qNanNc{sn=d;)ub>`RBE8-p5O^f22~?p-NblrO5jkR>OJA>yzx33)aJQXOhx}y% zAT(BNCoiCnwv#i}>79@jCv4(F$c?~cRDW&gndWeF8Ks&EB9o7GLV`kfQjS*W)b-~v zA{NyEK`xZS&V+yB)1>beuI_yWiYqJKXzKy?}t9UZbjUEgSe|1tF`&$~7NYRvxz?25tbyRbAe27dHI>nK= zhFZv@J7UY@v$A8IIK8!;uFzE#&-hkIK)?Oi_omncEP)ih?^`@WT&zmKMw?T?<#o4U z0E8)}taVbxW+J)BL2Gbl_xbFzAvr)iZ3VB&Fx9X_9~Bil+GY$LJS= zu(5Qq>zQjyj)t^d=5&>>cV)U2e>0aOktkZ67U0 zzaM+qMdXXE-m{SRi^~!+B(O4a@kAOIV1Yw%G8S3NUieQ{ z@`=%UqY^ok@;kyO+gKB^0@B;C*l44)wZBY-*1Qa;46fTrGvSyB$(NFN(RSU!j=aC& zs@kBXkRq>@lPtu5@(S57qR9%?Y;QP_pGFKTOPJJ*b$G#`g0o5Lpng(K7L6wc3jJYE zWA0}1YjK`yIlTiswHaa`F{!pLv7c&OHR$c#KB35I#*r8{HOF<>-pm@HUn(9)gb)Xs z#151Dy*9Tqou2zX*1y)bliHDNv75X?7#8Q}CX<=cF^MlxPJYRL z-p&K{r<)xG@b8_zZd9^98(9sDS-EqmV61Mjgy?!Lw?{N4=>gDN{UaJDAK70tZ2{p5 zlnkJmk6~^j0Q_QM{ws;j60EQ7!~I=!pN;eDmxlL9lSupqM)~O5%<^qqBZ}TU5>iqk z^EYF-dmkjr4syM-(x8IJ>>X(~z%px4wL7VW#aO*`n;mmvcfSd%z?`X+%B-wS231>v z(KrLy%EF1C)|2f*5E z35$#~9)VjnVylbnQv7s3OXUi`B}S%VL!(I9^)G_4>bz0 z;Zt4&XL26;b3-Cs&%rH#+VWH+|IFIZt6OJVs}Xt1WQ|SF3I)v=1O12#J3fXC^gMC0 zmpv6?TBJm5Yhi(*-f+Zo2%wfnq>>3@0h^QXZa=F2ow?#!WWk+S@+?L|NjKAE8<$^| zLkfCH^7vpF7x&a36OtmKKNt5TLcQHU-^bSKx7K|$sy1u`od2T$QkJv0L!HFkrb>?h=_O48fmctYHQl!rtQL>13-$W5(BbyiJ}MoRrs*1IF91XV7YsfBa{aVl2s zx57pJzH2CNk3p4**K0Gw{VaQP^R_d?eA^{SWqYY-VH)tjNX6$lns%fag+BmciwTD; z{eVqUm4Mgr3)34~grHgkOhHM1NIlmK)DJ;NPEBY=^bL5fof%EdN2GAc*tSba|5 zd%Da_mCezJ-OR#}B5eCDOYKr|h*?#syewp!p-?V6K2h15S)NpCOho4^p0%JDK5iEh zx5E`Egfd;y$Z2-YWKQw6dL`Uh+8l`BJ0L5q7U=v+RZic}Zm1hu}UNe`mO z=LptzGSdq5EKUf?`+YG^;{mRZ>MEv&WAW2kl}mE-NCVt17>JK7Wgxm{we_u2<8t}k zhE3`2yO=e>c54;}iy6mEDa~O){1F{NO2EspIQ_)1BZPC>#dQK?im_j?!XC+>TvujUx`O zrP>n6kf(ZfC;SY5DVK1NYw{0LRH(j&?q7GP^!vy~O?pd-yJBaRdj5PM2kMk9%57Lq z8{48QQJxx3-?aAE)fi{#%_G-5f|VtP;dT|evh}ysUl}sn2)6>_4#d`5)A05UZPLX1 z02wc&ab>YE*| z00wzTjq#4xcwee33dNraE!<1rf#}rrLC>Ne*Hz+OPOl;ShcE&{W3yKE(nV^p6KB=` zRMYM@Oo1fB_Fum@?w?s^yJuO8^%W-k>^AFHd7i`>XSn}I49ca z=gHReK08-Pi5@6RFtZAuUM|6SAmr9D@_T~cKyi9ccIdqOV(_+7_q`0!Q~}bIJ)p&& zW{@X%7USX^sK)VIDH$%xZw&JAFK)XGZ*H5^hV7)=SIL`3%j>^td5j9#)xL!K>sfi& z?cYH2ZOjQlvHR&piRSs_6lh@}Fy1D3bWyLXRg>DSOkm@f2&XQ#-T~XVg*Xa+Hzzm> z(gA&X*`GJTi-N~5ukS-Mho#wx7!m1QlKQ3LjFDcuw^Q0VZ0*zsb4BrpU(-i{iRjxZ z4wO`zbg%Kr_q%?k8tX1bhjnJ%E;{f`!2~Od6BuwtlWYrt-E_9gK&;Y|FbP3`P{}?M z?*aFreO^3N5_5SLsoPEJFHiDa>%XbLV$8Z*TJ?HoymC7LVZcg7WTsE-x}QtvjkteE z)emmI$xS`a4?+LBe*!!~@gDlt&DDD1dMDe?TRB)09>_d7wn* z>B%%mKS|5ch9vpQtJwXuLJjOM2Z}vQpox06_V}qN{w1Hf;cu>$RMe=8G?PF*FVnZ< zlGv3(nC%)xH(B;wJMqlj{ebX1v|JYhFlX+7n zbOM7NWBYsG`uS@hqD#v^z^BId-Y#pPr(%W@#^g(|t?qMl-|B&F%?8!`c&j(aaz0d{ zGRmQ$2!<3KgmgVe;%z+tR>_L5{q2jsae_f=KcLhRe{PNxD2qyj1QLQAg#pu3`yOas zD@2DAgAQrzZLUC)(Avl_%KNLYno*aAk#w*|2=AMjyPsokxx--ms^V$9V1_pjI3=1Y z#8SZ|$E_JsT`3M5xPrvD%0an8oi56j=9s90h3n8&sNajoTxSRe2822S-r=;hF%2DM ze8e+Kre}(!T_RZ$(U4rL|I%ZzEV~EFNNeM@N8t6~7*%c>!R!d8lVXBl zVJWn=l4EWf;4AzSakR{LSO?S*SHc4=Xh6ACdK~c8lySDg_f`pkFa*>HU#k^?Mk*9{ za)hMXOej0CYjHfP@rr~g=bzpZWd>K)z(RWS24$;J{WoGXRRr;k!7#8hjdn`O-U8}5 zo6@7Qu$vlPAwxkd&&~X!a5-rWMK9dA?DB9=jmEx5D3{D5oiT{fXLI@`D=Ux#grhuG zD^+!nEA~NcC)v7i@}e#|#_(t9O%4YG-k=tCW>)%JiM~ScnO!i>TNad-?#I#}>v((J!f2=gHwtwVc_EHLQC){JFeq7&ps>W$Ag5{AA z5%-n%)m`Uk9s6B0JIB6kaJrH3z;!O?qLioid$n=1i4lrqDOhOBjy_{)&~}-)5yfq~ zDifYQW_zyMSN{T4L=Pc#ME$CI0va)*OlfjUkgHml<^y$ie%U+w2tv?6msX5G3P$2| z#}ZAU`GSWiS?V@OD{M@e!KF@7;%AG)l_V?oK94RRx+$P-W{4>of3`BKkt$%=Cw)rH zdIYbw;3}9c=gIK<(6$4kYGoOTejN0P^d6Erc!4g3XYGDqwO^ERSQsi+-!=}GN!)X>w*ji{P1H>wZ{UH6 zX{an&UKRFSLBQ>AVwy2F&Q`XK_T!efPgBi&dArxpzkCbg)}*sMQ3d!ynYcWix z_|npYGkjM4H_VCfl1lDfoX0C$VNvA=MKO()qiafz$U5Uzd^r!`sw6gjbZ`=$i^_!5*E*mpvGd zg5%DuZ3wIxm4a&5e0xsqmgD* zYGLt_w3+$h0%!yaVq;0um3t$XEA$yK5Pw|pv!C9zSh@wc?lNT5)5EG6KfIzyluy3k zUv3{ba}*4FG$(pmR^nCj0s#eCNQ4~D zqf!&>E;YJNTW#siz8Z?A8ZLGxgC714l~`@O#>4Wd5=#=oawdMM<77yT(2db7k@4Wp zE%_OM$dm`us47x}?QgqM7)?HZM=$E)8)}u-P|8J5me;Vs-QgJLa01hjt`-GZf4WXYs8)21~d#k7r)eGs%T zoTM@mjdY}?b}Wv#jHbE*Kz`zf{tRkAt>Qc*%XqotdNs+gjp4Eba2n*ly|eRwCt$ys zh~nX>+L&#zD&EyQzPT7a-T4FSO1;b<&IKtjfrbAlppEY|+K)W=f(08x4LSchxPcZ; z&=#FTV)*|ywEy4&Mhf@OGx`^f5+SBVpmLE zI=62U*W>|>NHHU*R5SE{tCw-<<`9FC;fkJ1!6_8;hau))x%lmF$sfp7&pD(kD96H)c$SxIVbZT_~A3 zq=}nfv}2Lwr=d1$v7i?b+##9FLkXQFg^h;+o~eoUixID_yyG_rQYZ@APz*{54#pA0 zKa>pR#RSC`{ME;>CYUt;d;KKSEM)0R4s_P8I^L$4pB(rX9NTKK(#8fN{R*CJBK6fj zg$x42U%7H@19J?CBoA$x)b)Wp621#55p_mM7E4!7(moooafA6ECF-Zt^1qol{;FtA zId&y37DAx8Lw|yrU@Kx3nm!Z4dtT`gHi}vb$}j&kSBP&eGZ2SUb=dNsnEsur&WEKT z)j_QnLZ)5KOXZBcM8xs9Gw{W^CwZ=9$>@IzmDQpcEd(2W&^0pw4EE)QCw7R^@bLL; z`;jKBD-xYQQ2yd6a!O3cQ1R6Y?8$v6opn%hlyAYLdyZByBqP$wt`$?@3G?GqjI-WI zFr(&N%W-LTiVx^1Ho9CEPW9Z5AOL?Gi|-iXg08;`9bHFOX<@)jh53F(ufGo7X8;-H z0l)YvMmC@|H(*Hq)5~Lc+wpVu7B-~+C=Jcxyn+Svys26)m~PyI-+W15v=_={`XO5l zHTRU5<6Q%(;GtU{_)M$_Z@txr^r;MoqLKj!*lxsJ-o*}P>e`FX{w*=TWA)e>mkquq zR>aObeoL>tvlW0b{B)@!*Q#MRNDVE1iwYTY0jEF7nOpwz-CzpVB)}t%DHnxnklM&j z{5nE-m_I0{MuyF@X{w^ZXId;$ZzxX3PofMm&=br2L2ZV2EG&HUL-^jmzMYczD$O`Z z?tN3awcrjqUCwXxK5<+SI?>|?PR!D$t||ghxxLKVr-Z6Dw@24}CgX^Pq}kM_7!5qg z%Z*9SS}A#;Gxrf6Yzc??{fJaAfRlxa)hoqd(HC= z7O1`LmWceuZ0Io0(jzpSr>;rS>W?x`vcp>fVVJl1r4thU;2&FV>(dCwX&XK8S-%w< z9R&H4wYnRLSj%_btvh@R$#$Oo0`rfNf}|CtyFYe$!fDRQ{TCn#B2oP}ys`rt2n8pY zPr*hy=n`c2!FY)-Q6avwsaI|ld#8}B@=2^@?xy>AgA!eO(n7ietiyp6B?7 zzEjdImQZsbH{m6+$_l~!C_p?uVA-?$aetr2!i(>2oJ8*9svS$rL?LjaYe}8@!`*TQ zq#ig1wLj@;6j;-piPNt2DLzE!!*!-C3&;{_h7O&)YC#HO4{G<&N_9zob7B%}yt1NC zn%`Mm`%Yl-g?yhDxiV;rXh^>0f5my?!*A)t)TMO`3`(N+D9}1!YxNnLK)>@{8hpI5 zD`Qq^)g>Q(N6@}yx=%cj9sNvX@vp)=nn6ncK;7JEiZgd^P2j%)6VR%zgBZHuTvAw6 z>wG|E*}P>alWtK8B}_gAdu^xWy(?U(@8_IgZ{Dg_YfH_i| zcEU*ZONGosHYDv&Sy(wA_rub(!|ZW;oHgD9RV~OgubHzEy>?~?K2bePVezxt2%>;P z-?ra7<4n?x&FYaE?cEGI)-)$tD$5+muBu}U?sPHFKe+hV5?aCTUXV`J=9AHC=o-*Q zXUuT@-0>M!)m+!o+T(oHaeB!5lJUF^EcXIqSUNsvI7$4;|X#{w!e5pUJ_ zak1J+C*mxrK*L>l)}}XDmB5!T;U_ev;jCB9B2`6t)Wa`7=7pam>YPepUHy>E1}-i| zx=cTq2|P}#Ey5pcy4D8*2oic4dykynV%zxoUkQ#ZS%}$Wd?mL`_nI;G*TmEF^KJp z_vh{DE5H7`9RZOzAku0+?DJ`Ocwh zS7jB5f%YHF1(sTSKSuTtezZh?ey859@nDV}*wx8We3^(^>c;D^k{15Qf0gLJdBw#% zK4AOfnWngIHTLC=dT)#w{3rZBSpE+*HU0+;Htp>`-fzW8*#W`aU5e&a;9&m+kS-Mo diff --git a/demos/streaming_asr_server/web/static/image/PaddleSpeech_logo.png b/demos/streaming_asr_server/web/static/image/PaddleSpeech_logo.png deleted file mode 100644 index fb25277540c9023c8a7d010e22e7e033ad0d74d7..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73215 zcmeFZRaBizlRu0F2=49#w+#e$cemi~?(XgyT!I95m*DOY+}+(B{^XpTnX_iSldJFM zTWh#r_wJ{=tGl}DSJM6LP+4gaSSTzgARr)EF;PKzARq`xARu50NbvWX;2I~o_YW{* zJ}EvRpsHx-XWb9)-wE_Z<)wgt+(?0dd;)-g9^b2c_JM#L0YE^9IzT||$v{BpHtEfB zobL}z48MpONl5`wzLz0^z<|MlK;KKiKp^k`kbake-^=9xT_0=;1ol@OARzAdPaq)B zZ@~ZE@*BuMPaz<`f&Nnlrufycvyc!62nb}yRPl?$7b!`0eQQfvT?1=9Ls}P0n_mrp zI9=G^igQKTH6`Z(X+9!(E%9f7#L{YThQ3M zS~=*t&{)|M|2@b*;|Lns>)V;yIG9>n5&RlgSI^qffs2Uf7oq?9`+J@arbhow$;$rs zvfdX+_v;BAJuQIlKXo&7G5ue<{d)3ux4+i)H#yEA$<4s|7r8&Q`0uIzJ(i4}sp0$L|LRTuyZ68A{%3muYs+_X_V&N1{nP&6b^o)y zyrI3dh2yW`m8?u1{%eB&qxxUHeyy8b*3`w&LRHYz($MNJN(^i)oOJ*3$^YyrU~OS- zr(mP2Z}@9^e|7m+)&Fe$7o9KvO^2Qp0Qfhde?9u$m6Pt5ApA=({+7DGYTw0<8;XUJLFx1{w6KSrCx5?1Cf_u|LZC!ZEPvBl1~mRw!M((CjWLbY+&LJicp4TcFx@Z%)? zK=}N?L~#TV0$h-P*o-)+v}*hM^kR2NvH(Dz7x91@r!+NhPEzqIUtcQF{GdOO^8!Q3 z`hcK(1Ny(>|MB7fgy8>_;s2*dASuWzZ9q~k;Jb_hsQ2cWnZb?PYx>FEV@J5$z`50& z8QL3{UspGSzM1P{lijfcBK&bOpp8-FrTQ$Q&GJb)$A%aBHe)T2Y1gRpn=s233PFMvc6QoL(LUB2qZOUw*hoelT8Iyq3bSIW>*ykxYwyE`1PW zW(Gpv)n2fvAjcd>oBAd)GgwO@FEE5MciemMz{^?_wO48t340v!<4aT6;T;jwJb9#66z@7twq*7s0}%?I(WjCLWPXzGpS$~# z?IBNaSolvE7au}-CN68Dq9EdZ3_6UJZ%A_wXK!XD=2{>;_n2{>8LoZguM<74Q!qe= zX)~$P0SY=|A1Q*)pVLt;KmC-s!!GjvoM3l*d#vheq+C^1^#{Wd6AuD|u)D3R|Gfgm zWvoccT|`4@L^BHDOjKyk!R|z&=RxuXUO{NpgAZUb0O<+_+-oFKnC0H(J;PH0@8D3% z?tDe_U^ND9v4~lOliKom+;PoUOz4ccYuV4BL+v_i^JDEOc&tKS2=M@5*)+nd`)X&L zU2RipfV|dMkoFG~i+T&L* zM+TqBJas*XpKm*l$Xe|Af*O*MsY0rZBl=cLd43=fYae1Qx+5pyA&n^Iv#A8E91_dU zN0xTs>ppq2v#~BaRJYDbbA_ddHT}`BR7-RWmLFC!qa;W8$dzn%m*C{SArxsu>zNIx zSy=k7nu51|A7!Ra;J560`M4*xlNHL|ZoB{d(5}xsZvZC&SE{bPh82lv92xSMB`eSE zOGzhC5o#pwc-`JKpjIZtcJom6e7pH&F6H%=4$fGfwBh@oP(FYVaC#lCdz@e>PhjtB zX>}8nd!-rwe3p!M*$p{FJ@jLw3JJza!sIk5>LK^15HvUIEv5Gu4lpj&ya~<~2Y>jQ z(608U#>7F8o&pxij7L2$(?Ly0!TgL^42_I0NPkc+*>!PXaL9`5^_p}9Ky`h#o~t0N zCz|h%CEK@#CQ(cn25huJ9U^$u&`7mpnQ11{)9NX?T`*WGwsPK;$1yDZ?O?22RVtgTZmPLW#y>%P$2HWuX0^U9yJLYc9k~zZ zQQ>#Itm4J}B(R@oG(}-NC56QMs#82E#ecvNzE5m??jY%JT)j{#Bs?l6c6=<2gI+l=f9o>UBP60m!@=7F<8wGv$^e%r}&dM8IP{x zV{>V=tcUgCN1=TQ{VP{;n=KS$HH;B9>Y3tCO-G~8X!#7VMIgKI48mb3s$6UL{Vlv9q*`I|eRJPrP_FTqVUkNu${$Lsafgm`gnfw-~l#IaI=J-<{ha=*H zCg$U!JI0D2ESYG)hR3$?0`qKf5BXl5(w1{l6e2RiuLW(r%YWj5!LJ=$@NoFjKn0dZ z9F!Ngib^NFfjlC`<|A3zNwG}gjGF8t4V67k*EafQ9)iaXHg7SoQqD=j|h4V171qT z<5_gN;AW%{aZB=lP$PnOp#bk1;Lqn@&+$G^r+2ey&d2QKI*!`Vaw5ymDO(ol0Fl@3 zpw9ZZ4KM8qj{jH^DejgTn!carZnVgt1Bzy7`v*S9bpP@V&O6gAm1I7%5V^~=lH{>* z;aZ9$6u_$L;7(OppE5G~>aKB6B)AC-m?q~ahv`ng2JqOl$<)pkFqnUA$p0g_(Y}M} zZVPq`hmh5{c+5dcsoJ* zD%4#Ck465ovxDN&fo*|t*pv>2D%2mudj#Qq1B?fJ(`iP}g&bHII-Q8d80u2K2-lhs z-jQ7wDb)13k=E5zSRZ^to3y%4oBK|$;Dj%R9UpYCoIB??z1F;adc2?=IBxll9oDllvr$3w}hjrZx-$6 zy(|ddIU;mcP*$L2_1QIQ+zCj$n5mK%ME@jDAAiZyCZH-#A0#vYN8EHuFYf_POCnPG zjqTQHf`^_luX8$Qv+%6MxipHb;{c}T&v@aJ z7;&qkg__F|6y~ojIe*%(Wknz0uC&YZQ45q9&~AvjGcQoz7EKqJ05uT`_dwaVC*DJk z0+YBAJQ!4tB(%wI7HAtY3Jg@RhVsFRSF$6tlHD-?Fqa8Hzy)vil!wE{GZd^%DZUacA(Uhy;J zezy9+OzYts*?pD}qd5Ou^T807kTtnuyuzH~t%)(r)N~DsOM$*d+}`{TJDltYf(aio z&Q8zFS^{QfE`w6ycZH9_|C)+;sSM_tsG}ybR6(}V5G$9DNQ}j6Q-IsfQ&Iak`KyknvW}?27!cy`UL@! zdP_Bs2u@g*uUUj^7H6yKuGA}7wk^vDA^j~^%OKW{pXna^`}SK9)wKK~rai!*S8UaN zqJns<5yfG)8p7v|3IK=LmgsS72+82i%O_1Bf6!}Lom4Okf^<@sQ)Uz2jM(C!%cddB z!f?@t!dN>-KW3-Hfq{GXxB>(ei!SQ;x5K>4_7%4ay>?L#CW;tNPVIV>RU;q`eU4sFZV9I zragP*{%8O*+wQ7oHetFXGo2!NGd4djDuf=@FvSX@<$_8ZgXo_GTM`)}`SWa+k`2t& zB6-Wi6tV27CXvMEvP4BO!xqRP{cF^bXz0|j49fX9O)!{&UmF=WKpcXR3=(&@`VtV+ z0d!E27JNn0gfa8s+fxA(W0TuL6%92thcJ(D1t=MoxWOm?dl(Vp{|nsL`Sib%5mhSn zV&hZVX5>5|BBsP&3uPXKB(EU(;=}W063*@W>MD5TOldFEsgW>%H_3KDaqcOud3ozn zGgS`Ud(m4-rdUrn$B+~TT*vdb2nZiQYsqJwuDb6hAgFUT%l+@x>rWu?M<)O8ApHMX zH$Su(KJ8Lj0b>bN2@pt6QnzOK)u$LSI=42Ll-@ zW>`ykPp^2a71LlJE1hk>#oHV|lQ#9znLOH@W|zsSkAy*j zL{UCzpXX?}x6m7!iWTWt~#pYyjLEtCA z&XJ~mZiCbf%?= z>(!TVQAQg#!^mdu{()7st^&s1+7bUk`LlxMw##O~5(3n?{!#gd9tM`EgmHOxaLNa)V*5uA22sP+UI zv@iuP%A>1$V9FK5@6sYeU>G3}x6ysUM@bNdU?K3ky_4T3af@T~5f0Pc#=*~2t{oapn96=oB;>7%IgPArZKj(Fk5kC?Fg*A0pAQ8(N|D~fH)UKa=EV14 zqGKD(gZ|4pmTPc~9j+fzZ~T%QS}7NUYVJksU|lDoTcAQIceHYQf+x*d@vdtx34_sU z__t-GyfrCy{j(G1!B3hskHSi-a2XFbfvp6YZp2{e`g9dP_}F z*WPtj`r{Y%nmML+b&Yl>Y~99Rx7c0f#mF*7IFniT;XW)1LDB_$cM_0E(I3H8+i!_= zOu4=24l%+bSe6WBY2vZ*8v)5-%o~(z=Qyr`kz8%6krnVFX_q5X`*qR>Nv*#?{mf ztE=0tL=}tiv9edAdDr{~XLsadB%1;4_)Di+KU|!bs`L+5krA(~#`p{-M41*wI<;r9 z`BZvN5&)ChZ79oh!W6FeS~R1e^CE)-g4w1ha8w2jsfpQq4`w-KbX1I*QzmFE|2d`? z6?nG|pC|G?;~!^DT*bsv6{=T$+_sVh)$SMG0=7@qJVqtgn5vtbiNoBT#jJ}simDDd zr>kq^(QL*cb)_7J?3FWXEZ+Ct7a1JWJaeXZu=CU8&J!5l{{E;Y)xzHwc z^VoLND6{2$9yu2ha-G-4NN0^*&l7~PThf@l-}Ly1N>3QI70V@|l^J{%{kPI-;LDIHl{Mn{wU$1id1r>B;Oxv<7D~Hm5glOQzX<0$Ov_M=!@!c>#Khxc zi)x&M3-wbj=Y~UnAf@)vxfs0{57yD$A4WN9L}Kcd)>Nn4EU6l8`nkO=}YKt*lVr$ z;80{lO=Gcr8*wmCRO5Q5d3|8nMkN;!<^{0cAj*Au_KNNZ8XJx8ECssy4*(D$mZ*Qq2E z!y}hvbkYACD!++5MxR;RuVi#0hNNW-nyu(|Fq0pS4tl?91afwZWu zrgbgc!BBll(aQm|`COP&IS(7>$26%2TwYHwe;uh>68`9q4EZb*RCF|p{a0X^q%Gu? zm|r2H>D zB&Vy%kO41JbO$$7z~dLQK!sTsXEKNX`F4Qw4AIz_0)@c z(~uZ4Bqn7^wg+Har`Um`5l}vh;p~ktm{dXwJ`q70CFZQHueyPxNEmT}Ad7vYtn+gG;3(e%lu&3@9PW(A))qyLr$Z=k+eVop1} zgreTSW9(}qPIpKWLJu2?0k%Th9qyc?wLpra%XWb}GxuBx?sxABqZi){2q$ZfprQbQ z2RMlaulNJ(b*)WO zY{utcUD;4=Z&DIjl94SA8j%kO26Q-AVEs0Dau@-qxWoF$w!h4IE6Q=j5gW<9uEHt( z;%b$1vYDLf3^lQ6cxDM6KC=makjVVpZDZ!_!vl`*q7|4JTsjw_G?;2RP05dE8?PZ3 z)MSzKjF3~*EkHEh{`GA@n?JD0c9yvAxUVQTZVew*OtJr*@_GZM$UqD3#?7piC=Q@{ zPs*D0MlA`0ol@;c;G=P+rkW7^R;}t<41hl~E3>n~H&v_Yo)fA>wue?GBo#c{P z=NV^8FyFJHC{#ssi2RljAA6)9$Q&0u%DQu0{p;2mgEs7OYR&699#i2R9;?l3BSJ$S zsg})HY3S~m11`;Kpf`nzCRA9UiZhtL_pU@iSw#i)IZUx%lN*I_|C!*)Fe5Bn6q!#4 z!KNRx4!I?-;|Fg0ql>2#`TK@Gy|H{X%|>;L z1RhIsjz=^HgTN&{bcm>>8YPGgFWU^^yUaHBAQZa z=#1+D#%B`j_^N&Qe2H#3)on+;<;s)sVz~uQ>f7!8$W^JXV`a%+PcQrG%u`+`-#fmw zzHC{j1FY*1AmLK?EzH@LB>vO&k$nDlcce&m%m%-1a`Qtn+@!Q`h;J8y6(_424@?iN z9zv74%LARGLjXWZ>j$>}3^*TN4Xr?2Epz|OH=+4EwOV^v2D8;8jJv&RQ7>;t0S9BV z^|G<3sPANQfYnS)iFZ?1IOI$fgXm1>D|qfETqFvDS#X)b z${B(zeL?gAWHcYfT{G;}Ju6NxdeSZpz3EDVL4#o)w5f^?jq6>4%IsXf5fpaiq z&?we&eLKM_nV?~!rpb9aF^*@_^iLyrBP5;b$)c%7$aPom^)5^lR2OZYM)Mut=9^$I ztAqtVPfN)bh4rg2%Pq)C&*jLWtDT$R_NAp}9P}Rs5AvP>Wy~YBW8n-p!)t4xd+v0V zlk0v}tqYry;I?%W2&8{|siZXLDdQfbQIW^pv}q!*993@?_?k4n5sN)N%o}R|#8lfk zzjA^$(=kGoSn>0OtPF9uh-#7aAalXTowz4763zZ=p|K^qxWyfnm*6n8bXjA3GB8X; z0|w%V`>qH)XZ@ezD;k9a-n2C}&%!M&A;xzfJxltcGAPJ1i8Hd{b0e7>Q8C@Q_Os4$ zx)5&p;(u~*+)~4OxJ?cXmFwYD&k%R+9NHt@vJ5;}Ij;El)Uh^S5%JoV;VU3&^V`230eZKLHO~ZnTi^|2N1e6io0*j*VUm@e zL-yVnV_x+fQK}aRR_GY;1<%*wOnq=&sqO$6P2$VeySdNGT#lUw<|pP*Ua2G3X33|@ z!jzsSZ4RR%a{PsN)?GZj(j5GrqxSj*Kg&)=>%&nvu&bh%Z0$S9PsJQ-lnTzdJ}F`< zMDacM186o|(0ZWSS=%q-*DTFfQd;#gzPrt1tx6)Y$|ij0w~43SGe=ZfQRG)v8Yng#W1|C)(%zkcOzHvGD~o*( zIjyQ5R4;K|OVxIsDvpY5XXtwOpp|9liwPZzLf>MBVbD8tmi8tDIbv9d6DNTMmJ$Oz zVPIjIykD=f&Kl_c;g>AI7vD*r_3qrxj?sFDXS`$Sa%!5W0_OWh*JHzH8vXXYhAnHL zCue5RAbr5I*x%bTK>rt$eS~)J%0*_8^3~%>?&Ild7xj3Nrp!}YyV1j)Ali|)6s=jq z2xcZKbSj&1wlY;2uS0#}GpehBEa`&zVsoD#zN@_nXnF1pYnCZ-b*f8Bh2GqR_L35v zO$#f3v#hG@xquJ&bb1u>&G+hL{yeUxvtf*Nh|K|ds1^03vY%2NZ7I?+Xk6nH8|r56 z!_$CA@w-iac=laU;u%d8ug2SeT3=gl@!Z&O8KzECQw-^C-I0@H4xl!z0_n_;;N~zf zPP(`mHZeBo?355O3*Q?&wdzOorl@nplDnroW_)Q^$RqDy`p^JnXs{9_%~I4etSO~L zm|j3SH@+FU@*NVYynA}%tfMv1x~c~3TL444Vpuo3icERXLUsL#6(tGNX&wh7IyTNS zr$VaJgHN`l0yP?PE+)j%MJ=X(@a>rd93F`8?~t7U7g!R#8FQ^6tEV1*OD=3}ih^{& zQruEg7G53ysnxputlcL(KxPK5;9&wfDlb!XC8?q;_QTAnb zggY4l6B|tM@fs`4y2xxja{!lhTb!AdrT*RXlnA(&$7WAzI6~^Jcby^bB1{ni+_9>p zZj(gvK)Hqa&&{CRK>Nr!AMa9YLHxQm8yR;#j`59}hPO={JLAPbNxg1C`{(5_M=lR znP|-99pEcCI*F^0Qv7E0QuJNaqq39FKrR5;xH8w8oG0|SDa&0x@S;C$gwZXQVJw&l z+>CxAU5<2E@Z_fkJbhQ}6X$9;@RE=ms_K^&n65-&{2O->j_5jSJ_PT>#I8W_J&3!N`7L}(Lxjd{JA2?~L!#}NS;{@ypG~eUMlUV4 zkep%A5qP+x3?69yp=)lB2L;;6Hw<9E@3BQd&36#A;b--1P2vc-DpK5#g9I*JWW1>^ zSJ=2m)%(xkbkLxlPE#aAGa`A}VKx=5E|` z5UJy;kQv-lco=l;l7n1)KaeD|gS;RK(&t$>XC&!2CQ{mD&xVWugSIpx1V?BOGaZak z9B@YuA{yoYD<@5G^a0QN`9fZU_o@j84o1uJ2d3qM1tXLQXkciG%DVkOwm4sfAg!h; zU&ZM0F3Q$*&l5wm6sCsqo_JIQZ6v(0TLuDL3^c2cO8yfSpz((gHX{URE8EQ4Is?R~ zG+e`1FRzDQsc>vHe%NVn$8_9WtKM&Bg$w@m<&fX%*P~xp-m@E-@WrS4J712vkX+Gk z{dj4rz3oi+fChzlJt!<*&3%cz^iRq>4cQc5%!^YcO~JYyc)I+v4MMeQx-Gmr!6719 zLn#cs-E>R{&ci7gEWJjXGf_kKR{eG6p#)VJen1XrbbKzB8uY3on{xYJ(~61X2FEvM zokP<glE>lcJ1$isho#)lPo?%uMde_%>5 zHvy1MN!w@KfY`sT3znh+z8nmWP&9;L6G3qhp6)M(wG2w1N9c#Lb@9|-kIham1W;in z@KS&yWc2_YWD&^T7bM3WFMNYCV*8t+z7{ALqgWnzj!Ws0H_(;Rx7Ls2glXs58yg$& zc6~lThN>uk=T8VgePL>#8Ri*TTC+QF*xj45K}uF8{6{D%fEAEu4Y;K9E_Y{EBeqZKa=O1BZJ3rDCFm`GL(%r$kO zPCLHcsa>bV6xe^wz-U_Wyl}`fu6D$+e!0Bte)xHB%WB=(Y~QEOxVD{iNyU$ zYV{!~C|BFc^kIpQupT_K2sD+z&vcxJ}lj_6Ccd*V)$kX3_&LnzWN%Y`fK zCjprLseacc?Z?BVZt2%az{(UwOL-MXl*9OvZJTD=ARGD~2S+aTBBk~%XFIYZ-&BEq ztlRzm#@GP=oe-hCQb=n%ywb*PdLoXKQsb@CMCh0Q5j z!F-1-VKbcgts&(13q}+kv&SRgQ0;zvJu-TL3wkgpWK{)5<$%A9B|^;KZu)YGHFj8< zRLWJFW&Wqdww)B?OjEd!xZZ!<`I!9oxW}|Bur4LzP!ijkZK(e`CtJEK#Fj-e-nggT zBwJc1=JWZtK;mmR6gTMGcm)MPEl&$N!%|V~LN^v+DhL%8oWr#>Jy6nx+WG8LL73e8 zyIkcG9lS%o?WrtNnd74q%_tw0N{Ndulzbo*XF~oeq!UOwUObDs3U#cZ zV>WBm%_8-t8{>v4!Z(O;~rf_h02i8!~Rn{uaM@P{i)BbXcZl7~$8xSgY( zNHkdepCE_?)I^un>92NvHfai8)POJKGnv>Ub#~f^M5BSt7&BDt)RC-j`>vNYe#@)$ z1e~9pn%}WrsK{18a-Ou(K_iZg?)!l(`^iF=JqCH=-rtS%sP{0{@aiyv1UiXV_h))N z9-vo$<1YPuAWnb)Y%s(VcGftaUAcgQgHuCQ=PNgc2I%X|`mHVp$nR%CkH-})dkN~* z6Sgmr10d?iyFeu17{T-yZZ52*ZAm6l8jV(l3~rO)>^mm|%}X(I^b2(tNW{F|AK7{LY)iiN;_OXaId(8Lrdfv&9I*YOQ8o`dj$4}G24V< zG*Pl1W1_9ZZ)e1>`EIdFcerQA=L-PZ;(@$4CZ?J2??2%Q^6kt?cOopPMqNFAwwrTS zsMOBNJbf}5xZ7rr7G69Z72Vx`M?jHe*#~pl`T~n7NdZj`f zS2SPGI8nUKk)$>ClE_~H5u>)wXV&|#DQiE|>TL|_fxbXWQ+O$mwfzp4AeG*;DzdI* z+Kpi@jdXDt!ZgbtK&_cucF96#!({UZ)oZw$#i>?&I!6qFBSwS6>5G0ErhMM*EZoX0 zFKIctva|%@>pIZ(@RqL95Aw!kQcX3T?Hg6|2W}<|5KHx3tF3ML3bA_oE5OfI#05_} z>zYY`JYFtkX1mU;n!+4n;(zeY51Uaae2BI$yk+~Mv?XfK8dXG$FQ_;Un}eNwwxtJT zZ$h5(#&3PrMGZZKae#K~A&T9K$d?;Yvv&S6k##*Y7yPtR+GM@^y~t`*#f;?>PTqH} zAZb^1IH!?_k_a!CFXj&w{sq0-RZzoXNlL z7#GO9r+X@?;8Vv6m-ESvt_n~de;2@fkpIFl$#AJQ zi>SKY9;SaQEYe?WItI=d6?#h}EA9c*x$^;1FJRttge`ZPC8i5$sMdcheZXxQ`j~da z#k}ApjUIZ@Zx#b0g{Og%!uxxDc3DH~_j1p^&wybp`5M|PsNIHKwW|xrJTgMxO3==} zIi#{O$W+V0R8w4AxUi-`O{zLY_^r)AaRUjXX)VDtz)tO=Ei;?Ty1^MsH8ldItwc|h zw|#eS^QI{$lwD{#!ZZ# zUh>c@f2;-nP8r`!xzWZ82WZYPf^3}_n`U^>JDI;&bpSc<4i_a&l{&V|=#(}|pbL@` zuw-mOya4#^s3by-6s}7pV#zeBS=r{{d1I`E(bq|y;X6)w>Iq(uTOCi?$?eakl_z(m znRHvaBpAvH-da%_qR=;@3Liy>cZn)B0ykY?9v&e>_n#)z=s?|rQ)QKvDbv$!?4_hG%YH51%seJ(ygZ+XUi9)MUT1?34t!}L@E4$IS0ds36|65Uj2fN9yp)M zCZR&Uir<6$ty&i75Ng+ScPujrH`dLbt@VJev7cyhIn!E0Bf2XPWDatkU_+(c^() zK5)?Audu|{YkT9m?{&qFBQV?|5MVVy5IjbH4s7(+pl7%jKgX=;Wc$H%1D%gm)*sa{ zZAoorwnUPe-v-X;9?g`th%TBt+wB4yWe62k9I--p;ArH%1XNSVziTe801eUOoaFeCru=lE%a$+FsJIyxJxG8 zJf1ZRzxU20TyA$SS@c?c^#D~f6fEC$>{7^#!`(+COP6U}tSGIH;{EVNU;y*SLvC`^ zF~XS`tA8{g?U(xN1byt$qj$HJ@Cag}8rYo&I#fXrUAcT1_vZdlRZL($QvEv&XXJec zT57hC8Q79U$dpB$f*lw}3*U`PLYVy5E|Vszk^CphGiV0G-Ik$wpVd5cea<4>BF+s# zoDEc+#~<<{$sdGE9{5ujV8Ht)6H(8rchHIM{dKZy?^dh%vL})zd6(tCkGK=j&k*<2 z<4cMdO}?iwAfe#OkoebvEucjfCk!E>#c$*s&_U?v>g($_wJbKM17m;S!^5W;ZDDaR z8K{LjaentafkYj&HyDy$3Xjle0_yA(3Smhi{w5o`#RAV`S^pK5l0YZqY5GH)DRV64 z(hHUb`_?_z#P~;KyQbh+sBz z8=QgAB3&(_M90j8%fAC7 zw*@$Pzno?y1}{tL$O8^?B%2`$)cu3S0#%Pd1i`}G%35{7v->NE%NDP~f*6WEJ|RtC zQG1OuoE`P-6OkhXh{_!?feo2c;sc6%e8~j|ZW%{0R^nSujSx=Oa(+sMCUx+!C*D~H zFTjrwLmt+Y4?zzBxXho@aRZf*8%xcnvZx5=E)D6{mNhRwu_B3Z2Yx9v)3`ZH6-z9FY8I-45NP%N$9x$tpp99_dkwI9 z0=ly`u5nYi(heY~IH6eg*x~0Rax;BdDIvg%@nSMQglsDX#irm<4s@gLruN**&sKPa zyH`SK-}bO89g`{Q;8pTGYd!pz{gyWa{0F_>@_d$^yaHLxs?*!JXM>ixRoby&t-TVb zbrC4+fJw-S@DB%lrSu_zXBhU6>0v(>=BoUFyGkM|yr3#*wqS2HTct?H>9AQ*)Q*HT z4z$C71=HvkLqs^^tEU#wp1kl{IG6hCdwW@JpRGWH;5YWV^(%t!uWXO6)D<4?q(UrpCx5%6rSET+ z0I1+%ZNIW#OT%0eAyY3OFwoyWX%c3Ds!kq9P!hh(&W$Vt-jF$=3=VLsz_hKi7DJ^7 zq{Z@F;(^st%6i;)@)PHXzBZHXvbG1kyjTiLiRg50TuYxDPRF18(XpyfhX zM{IVUAfP+z%@>YIZP3T#VV1g!w8hk5hUC>dVJ5h{8wGz*j&Q>Zh1d`)(0=`UJk2op zFGf>kLFzkH;v)DQf#_;BRbA0BoNwYk?^^|oFJ(@T(p+p1QrzXru9Ak5uaaXQX^{t) zywLmwV7>9 z(i&ebofd&7Og=Ybg2p=m*)rnUa&~EnixgNq>CAKJJ^bDl2e8Y_OT7LymJ5gajCJP5 z4oNRv6BEd}VK5%1J(F)2s?$3QlR6u@CgWM_t_NU8EC(~PuPT*ty?HF#;D3(+3?-@d z4#r~fA6ocSRkish{j4N=zbotGz$oAb)etm{NF%!9>4u(UQgfn=Y2`O79=udYNP;o7%DCoMy1SyFd1HWH1-9N~V-2vLq?;@zOpS$^Lu3}!cox9rrhdm*F^yN74! z;>IVWE|!ksfEha09UVB`q^w;Q<81Y4TnY3(cbApB9bW`(Neu(_0}%cf#LT0|0oFN; zjtiS(S|BeTs5O23#Q|my31{5-7LbK0WO$gxA*EU8^79ji8u>N|%-V*nJ%)6hp}_d- zViug|k|>t;D4=cSvVp_4{T#h%GIzjTw1yEM}lfT zz&Er*lwfpvlRKgtRzp zz2f@A@Wo6VjTy@0ai1V04z4 zxXi{5f+qm}t<|b(bl*MCMolwwN|I)`+fq)(h079_A9WKK!E+x))*>xgw%WXJjZt2@ zy}*huvfu>++#OU`h{xZv7f3t7ju&CEOnYmo#L%tLdTZtrSx{APpV7Bvp(af|YN$p* z8dcFga=u(o5qI*ZS^9KNlF8MHbQj|dz2OY4A}BvlC;gqkiHQQLhQRN0Ry1W_imH)f zEaz}PE*^QcW&U`2G8yjoilPwhjXD+S{egr9T;=h5oQ2K|IFZO5s>20!^zW-;zH+`3 z3?<~8Z9W-D)I2hYVwS7HJYKs|?LuzmIzV5xw9JhwqxYtJA(2i27VNp`2lyuCi?)OZ zuekE0uSk)eu+jD|>utii)EE&=`6En+*@{}9{Cy`s&Pj#6=g-8GpAdk`($1CRwI^?p zbLs0$#8X;vapB=)+Cr8WH#<&uL~dQtwM2&o;xY8S@l=&Gc`H+bvZ?Pa*yV?vn}1gD zw^7l}iz=|KCX=I86~d-k^4bu_NLql6jA52JLv7V%T2$1a<4bn`#41yBH*l?;Zk@C3 zwI;Sd|9CyTgrEWSX`RVUnlq5#hJ{n64$oZG4_eI5HMY5?=Fvsn{-)-qa~7Y(D=;5p z`kNHImkbdV>oRq-?Y^4&R)5^$Q@yn7o1?eF^Emu*>9g8i`B$lUXgDk-b@!ac`s|YT z_iykM%3X2L3!mw$GrW6^#x|X?acU*N)+Fz}V!Xd3Bst5djsm-9%~ah9D?=Xg+}w~s zDP?P02fRT(PXCk~>b*6#$=beU=KB0yA=gOW*ovdgXO!9Hu&4m9yU84SRyv|xNX`5+ z5yFFsnz|kF?+{QFgn0m!e{!_DyIVb z5i6p#blTi2@T(?gfKtPOmt{d$8ZPu{&HRkwti7Gie$77Zo1e{NY%GC0WLdvXTi2d9 z4TFY?O1dC8PEsuxR78U$`S>ctH26LvoL@vbS;W3V*GoaCC~!U?bEwzI8?#@UN3(&O z4lgwS^$XUE_m-az4=+L?PIO0GLsc%YOM8;iuC!nD%t7&<$CRmtgXH;}};q{Wizf2hc^4r%vTCj0F zvXX)CTBNjfcdbkdfO-jXMlao&Bb0+aLt+ansgnMc%pL&&Hkex|ZT`l1Bn)D=kf3CI zq(=wFubu__Sh;xS#35xqu~W_Y&*9A~8l=UyixZ-UCBY8~*d;OIJO%+!H>^4xD^@rZYf%r2!ein1HwD zYd0MTZ>-xm(FIS6khItm-h_N}WrLFB?y8@9Of(RZ*wLCI^Y?)vXt>C7ttF!FA zIcl-iTuHvqWs`^-7w>lkK6(7KShsoT=EkB_|&;+G0@-`6VQ>|(MymlM@tMuQ|%QxOiko2Fl zU&cQsDQm5<%V2SkBrW;?O9bl3dy9} zpb+8AuL=1RD+tsrD9pffiF$tvB4`fy20j$o+_qZh<902*^ zC;u3NpkCl;))te>DqVHE8jxS%CNO@dksEFs@dg9@mGc>f^IP;-&8jH=6mXbIe-X-B zoA@_jR7E|c9S(r~CBFxbA6pXE+k2eLHO9PH7tgFm zRW)Jae0xW3z3*48(!cPsiFeneC-$EH2Z!2vKX7=_8T@6b&{T&Jl-Rm=?2>Pqx#z1Q z&UCu$Xy^{5c1Wturj;r(G&|I>or`w#N|R9Aju-ITtG6L9l?p=AZl$JEBK(AL70el3|=55bD)#XFzgp_hDf#GF%4l9v#Z zc54=1`}ZIxDa8%<%W)y zp+|L4-EYPf8%1m_?@CS|UM55sX(n}Xa4SN4%vF~7x??}dmOqnJP{V%Z#9rQ+opEL> zf^K4Cl)&e(w<}f3UBTpI+mT)Lv)&%!Ib?c;Qz?=mWE-0(}vg{JRzDGWK2<-^s zuwgxWeUQ5Vw?)&!53!XO6Vwth>c7k}DL{5hVIx0{F+{Z&3cv=#BMfI8Fgc3jhVtT9$)uzdL1b)<}eI8QG~ zUl!d{CU4AL zKjiTp=0pVcY6#pfc$e_{n|h>ur>x(NwjsILx!#u`)`55$5j-t+4#Fco>dh62vF=Sz z=WHT}bkx`_Jj^1w=RK(3=`ChrJBPgYk5iFMmXOgE=oS0*`EU))L;mw_n;%*jdF)D~ zVY@oVu9)aH-lnS~`Y+{RzQ4Bi_C>s_1ej#$Q*EDnU83Y3zPBZbwfL6nu0r8-+lM$G zSxT*6P}4zoD{~=$LARkcrR?o4?*n2EcSZBh{klp|+aCIzYzq)95pTGl@XR@STq-zY z?Ci+PH31kS;{UsE0jyvJbEn6wY@K@)qXZw9@H>+Y?3bckX?O2T+V1UiWfd{9E9-d5 z9<={u?+666f>W@HE^Soaw-WuBZFHs>_RZ+Zn3kf!IY}B&xu>2K`ywC9I+kBP>7aW> zQ(ie&hTVv}&MMUyek@U)WvV17=VTKw&K6f)R)3_C{z{;G1d6rl1FmSTj3f#i*0(|2 z$C+t8euV4&oWA^|o70~28@|{Hji0u1&q5FtGW;_pu?PXuCM};Qa%lJO*8Cr&-82|` z`<^A6I~$4s%dv~dY=%f;m+AV{tF10Ji7(**=7|rLIVc|h3S;{v!0}wZS7kJ|LcrdG znx2TNU-mMDv+S;kR^tBer~60u-6JCEXjM*%rty+&acYPBY@C1^+yWbECy!SOYV{+g zB6UQR_dj-|E*{&Nsq__D!w%z!HQ0|C^wR*h8f~3=Bqa&CeLKOzakecMH7bBxG0Jlx zCBt-^tXPgXXRQ^o&q9tB3w<2;VUj<-$Ul$UdLo*bI|7&no)pplj^V0+Kr~&uD9eUS z5h((HS^pZxo^tgj?(^Zr)7PMl{9i{f0YB_^mqn7f&JEut@Cqg&@RCD`Q>mEpJ+lcn~hNid1oe4%($+gRy?I>X#4Hc8shb zmi4PqF|nfq#=)#jklBY`c!^dG^xx=e_6=WxsG`4EIp6HT37!My+?x)FTspX7Yb?#u zHauYG()!;oVn`Gb)@8Zv!kBJ)R;GB;h?)_fK2QoRT~<3Y0cu6<=E2`;gJQj#>p1*5 zpuZ8iBcpI*F}Q{Xd!wYd2?ot(x8Ip6Q?9$iWZ_FEF>ic&Kp!s<3mlaefCdL*1s2R}uy=Np}Q&g|NxvWS6ni!x+Q<$1TG zfSx-z`x?~$%TCar2We9W|CWU|71Y4$9PI|jEdI3cZ;sut5Cf%+6aAlHmho2~&|Z=& zIO)Xr8_Z>r_ULY1x)2rs)=qGbU+fsBWDJ%^iN5QPoZ#3mm5-F=X{j_zG^NQgN!e;P zU+`pB2a|__+m)5*n<|qX&tBPD4Q*ET+pl+Xsc|3BNprg; zo|^TeR=QjF+t|KR;}1JPF{zBb=Z1>`h-U>145^BKLKAx&`mXJNMz7OV}<_*CGoKW zJlQcdty8BVtSeqLm3p{Sp5AO_fA;M{rUa9R9RJ7VbJrp|f#BS!@x1=Th@&(lHyLcr zKdxk&WoNI#(9c^KIRFDe;FpqgqN@5lv~2&6@t0@MN&xk@W&*r3@u{nRpHq4*>-8hr zrs9UZIr(`9K|sX#?w{@!vIksg&N8i^@@%~sF#V)f#5t?%g~Fa>CFqU;oRWvBL=ru` z*wiLYotg>r@1RwTB-R&m|4;?W5iDUUtSwBMy1cg*Z!6-ktg?hqOhP2$k;CpACf0{` z5$ID!E9WVbmt)6A@8zv>UWy>=s{gy8AsZb1k>;Wh`8KyGA&!W&3FDKB-)3u;Jt2nI-=&tJzSHMl>4y>nY^Ih5z=HVebi0>zU)@9qQAe{>?m%@3vnC})`A zsBfRh0_(-g;VD`A{j*oJ9WV`k_pk_ZP^_g@3gDJ%47}a+7g|gk%_72RP!*5$>+t z3+DJ;?vQXiD@%~`7X-gkzB0Y$ufvD2(^hW8-N!53y1NnN*g4{#@ay9&Ba#aAaMc;n znXvazv}SWBJTLT(8w+yM`3LmYLM#C#HS?7qJ;ona)o?=P|7KQhWrZ)m{EHYd3%UU5VrZZ8ku6xvksU~Z$#sa zDBcNBX~gf47wN5tntQ+9z$AW}afVftTB)jVbWW=TjrSA93c0>tbzVjLhn&Ga1{HRI zqn@6IfV^sTU0ax!o^K)l-*#|yv>5-(e{}-7y1M#1f^ECx!LS*Wn@Iwy|8{Eh;ERZe zIYQh8;%P(wF9+JU`+L2jei7sdEZLu+>~SIL3s^&!Kt<{2(PfDmj?){(Qfb^Ae9FL1 z2R9~eGBnp(STvY#^<$71o&;uAU%{lJtZ>J{MN0!zTBmfj;#b21zM4lj>yAQNBuqj> z7<|w5sMaypWlaV8%VC9i6ZRzt14W;7_2>LE(GtIA=UL1$E}7Dn(skJ#V~P$@(EFR> zhta@YXk?|CJT{*v`900HEf(Ncxf^kLfGR=%DOvPPC#jL^?WgnKN8fpOn;aG2wyb%qvtn2Z!EFbSvwqi; z4Dpo3H?T)+zm{ay)Z!W`YkFeGq1YJbbyY zlV)sjDg1Y+CzM`$Qd};85h7;#n*otqO?H~%H}O)NW`?Qtq3x)72fU43HZ8E1^~w3l zcQp{#up7?-zEg-0R?Lmux$i%7-(qh!@LicUeS=R*UAb6O^naYTLO!ZHB=~KQD1r59c{Q=k40x_3#!j?LYWa4Pf8uKV7pHu4Xiv zwVzr8cg>6(!?sQDV<9dNR_FOHcR-%ka#u8lzX*1B6j%DwN2L-u0fk)&y^vxPThl$f z$a^#^*!RPgw{s&gU&}|ms5M2fm+7Ca5MQAY8@)buPj1tv2qSOaATy2EJ9s~iP0Mt) zy7FZEDF=yf@yevn6MxzDxIf*P^tUf)o`(XAgkJ_FbzKOnA11OrwEleeQ3ZlX8mX{dekWJ{#(~j&RlFGq0N&aEevrpTTmymZ6uE_>$vLNW~ zkL>kSepd%9qf+*Gm^|(N*a9y3&X^WiR0|%vK_kd7Ge8|?2@{#I&qLR;)itAiRJbI`Mm^pFs?B5;5)tARQ4f#t~_2Zk!tha zhTn71`f?;wQ=mK64}|fVw{a5Oj7#C-c)9g`PeBc0oAN#Qct}t!>kX*xs{)fW?$)_y zpx1>#WtnrTR$bU}$guDCrcsYLT4Gxnx8B^ey+i(cX_LwPS9w;fIQSPcnYT6gSja}7 zfbr&9chk6;QBT(`1v{(H$SIPXGoJ^T2r9RSJ_G*JOa?tn zP#YtkL0^n3PHT1omM=V0_?n+9>i1~X{KRqW}tN~gxL$q$lsU%|6|$DPCIA~w5~ z{$1;rL2qf@XO$ZPOV>F7$cnf8{_E)C;F*%)Vq?lZr>{N@-LJEt8dcNwiI+P8WcRgB z2f*dywfwVD@yy-R+V>f4A|`JJGYx1IQBqdMuerZ!{N@KN_T&atRIzR4UK$Cf;4lg z{StePX0(x|)9M|(|JKVWtQ)ytnJFWDE1bN^mti~cm^TWhx7BE7U3iweWdvsfgtwKI zluaBbo2L(y3@A_}5e)GLOfE03!h2_@sw9I5M@J`lNoOlNg38%VR*F)t~?=wC6 zaqm7g4Q9K|q0;wxtp~AI72w$K6(}``*kbs(!Eq77HS}<%TXh*y#_q`CzQ(zPZ&tl1$2hbuTgK3n|cv>)g2}Dn%m_0X2 z0&6#A7-ZohqV-9Nq)PPM21W#7U97tnphg340FZC3YC`~yNfWxi8?OCWlZBRrwMYS1 zbRS1s@;X)Bb^t3rj2-T1G9yg)gFn~ALwCG*MbSG+jGl&(I@*=V$pl01=9xlH4~i5) znmpAxO>q{ru!(slkp*Ur!q&A|=lNa7_rhkt$EiJfo>?atBQ1^D}BpuZvmGZJOs;3 z*S~8q!Ux~H&wb`6=Ep;JCnk1OjZyB@2Nq(6*hcF=^6pYe8!;o;p=MYPmom4V4`If@ zUx5Dlm+1Qqq~q{mcM!4JPzQQ${$hh2ft)7{7g{6bS{oSi{!)D)+fd(_SnwmsaIHB7 zBzj75rG7Vve>^62Q$d(I!}IPA?w~=?M?_K!*4i3%&pTgko7AfcJ*K-!ml z=N@uQ>)oRnVcg+@SO5mp;n7uBw1k^!^}(jQ{Kws1 z3i(i|)*-fPw}a^>z9jQI#R0)lo&z(Pp?Ej-cS-LW(JIjeghqvsE*Ka)YTanuXb&d3 zI%_aX<91dgBKozU{!k=kW*yk|pt_<%H;=tLoXgshm;G%YZ~C5iH78dP%V%pkk`uOB zvr%p88@nyutQw~WZ_Z$j1Hd5oMT?fhakQyCbRSeb8thByy_Uk@0>RRKmjSZG51krn8+P1!wWlnohnr9|_$82+q#ee(IB zxOx$MdJ!rz@iGU-V}fskGBN4xeM4}vylh8oyq^mFoO*#*Fw`6Plt#T{#)(t20^y`& zyRuZGnlpdM?WqdVHh!|bUp)4+!fA^(I79#Ir9&_5RfekDDOCW$d}Gsa_`?L~dk3|8Jr#1bu6hS1>Lt92_HD9xUy$w9vWYiIM z^N0dY6$n%m=$P`BPY&b3Kh;uNuu(6h39h&44aen-dEebm-f!&jB#R z49a7xju+mva>^~g?gz6z;B3Qz5A3I`&ygMfcXh)Kd?Xb!_00x-SsD3v8S8^~ z=)+x24!Gq&=^79s54d#SZ<7mk*G z<<$JA>c*-S-#dP2>_fqZQ{U&SBR*-hhb#9u$}M)!+WBU-QGknRZBc^9w!q$}JfTeA zyGzq;L06i(uH5e0RHJkcB#1@o^Y1#di<}DD7vBX|1U!C@i^$SfmJ)%KZ(B!5)fv-$wHKJu0S&% zbEBO`ae9t?l|en_W4H;Dv?ZC(WWW>Q7bkIn7zlq>vWkjS$ZNFM7lr@R4En-={aEof zyc~++Bm~l9_5rz;fO*kV|NA!0SpRmS`|U?)M0eV`B!K|qBkE4n#Ekczn4xKdt2qX% zPVWKF1A$w&qc5PTg}ou*{hV1^qqpqkO!{bs#reg}BNcaW1FsS7`#>su(;G{f>G~?k zu%l9_NEIW{j_q=GrMM||6?SKXE+5jAyXwn4@LEk9%;G$VwI3Ds2*;Bi_N2y4`RfQZ z6p9%RWt*5VncBE{hK=w{d9Feo;uRRJA&arp$NNbMmx9!-{Fg*aKF+6uRrz?qol7jx zn>?5?@?*Z@-=H;ciDyLq>HD=mrhb%gbGeXJeDV!^+0}_L0Bj*w{sefo{dWqOEjtaH zmMQi>M{2?013KoEwW*GqGquOvOcH7rzEQ*Bqupvg?@{4G106+9RcfdDT^9Fy_Yml* zy3(6RF7K*f`D%2qld@Divt+FIlE(Fmjn>S8GPi6C99O(h3@GTAqX`{f{jEH{xofwg8zs zZqPgQ=DdsW($GlT?NJ;YPxNv-MB2>TOH-#^mKC5VZFy^JOK8H`6nt?YoA<&Ol=9+_ zD6>Jk`JFX^m@p9Vs4i-tAL_{$i+Qe^-H#RjS#P>$?X$kQ{wYx{*UXLwU1@1G)H8p( zx6dWNp|drl!M93NTnrX%>MnexWN}4fm6-BFZBWp?cr2bdUk397pdi;9mi^l9;0W_F zQFB0GB9i%5?9VBFiNfg;YBaotA= z;PUnGOv*DD4hW|^MbFKVA^7>*!|TyW$jw106I-9Uml@m|MJJkC4%-p2aY zuPIg78N|+{(Om;ZwPW8hMLd)<0wk}~2jUFjeb2Y=W;bace75pELH9dsoZl11eJ`qj zuMm7*ou~pc1bTeqPbqvastJa$6%=qg+b@T!yWhM~DYY>+S$M2ppeZPyIHU9YLI*Fr zcyW0?5`Z|})N#;Pkep&O>EX_seJR4xcBaEtNX}yv>Q$A)Z{0se-$tzY-7X)ym$2;x z756X!j>7)YClCG*-C7ee&ma%vq*9VGVH(CNTEL#EzbxOTwiQk2N%bmq66-5|!mZ}F zY+^%AF%|GLu|N@o$L^jGXH(Go1ECX%hzT`uJqCVZTxG6tTP>MU6%C_zPTE_7iTP7w ziHQ7VU=49Eb-GJ#^N?K!=NzO>fNs~XGu|Z;Pt<$}e2dLEX|!7Dnpa;J$c#jPc3$z| z@gI=0WK-Z|3~f4zlt(zJK8ab$x6;Bsy`YvXgA$6<6gX8C7WO}z>09MS)NnroPU+)Q z1~3zQ);utDUn@BLlD&L;q-E@M80VQ5DLg8sY>qB_Mizz=-^SJaVR1pGHy?sl)(NlL{>}5cq-R z1|`$aPKM)S$OEtPi69K~6terh*Uh&IZ91lXb;piEq5~`zRu<9S4qlLLj2{x)%>JG= z9PnfJ5z16bn9E!Cv)QyA1|PQnGNONRtGC(K(+`@!6leY9f4uzOsC~ZFdQj{367G!k zTlB_Jg7!dHm4OO@IM2w8n^MOnuwKR)h-(zMO8q_cF+()hTJUW%P!E#!Vhp`%s3z4p zeB7-iM}r=$Nk6IE@^-jyaxq<1j#xKy3b%a%@(KR)gPQp|g;oK0hnJua8-ND@=NjiK zuO6L`?q#I>YcX;kAGc0JK2c$E^Mf=w*35nX!I|)>NczHHhv+~G>hz&YvrmEJ>!YS> zC&H`Bh{J;=Dd`8t$r5!KlyNsNKt7N^5xHJ9vM0jpW2*rJuawKS?=Ac?a4=FA7|duxmvQocxEl%$Lx zzIw1=V=q;KGGMmbm(?s6R{Z%^))kbO)x$OQ3ByusOJk7~b#$6=Ue&jCD>S}=WFA`V zQ{5Wrm9=b0SaV`2=h1W`JA+}HKm%Mg;7VqtvfVat6$DcmneUWm@GiM%B+V!iaw)eJ z;EV(ig3sOhfkAzpemgz-L>>e_2dSfo?{Az4ZE}Vb+kKL0Suuvu5kZrYnL@Y*8Lm<3 z5wO~bS+y*I!WnE{?f~5!=Pacm3bd}{fPkZDa6yF3-h8WJC5k8Gkkn$&`iN#Lr)9tD z8sc>I06}wd#7$4EvZ}$BptyaL{Brl#gXvYUI^&0Qp$x2bPCBQr(BW4-7Xa*BX2LHj zFc?uHMe{)ITLb+8cLoOI1gd0Hk#wk{N#WDu2$HcL)zCwI2oRELS;O!8r%C8uzrPOu zn1@qzI)|s0U3c*lyLU2oE+%0=X+f%|VAuE()xNwCl__T5J>nnJ_k3CSo-hnmmz&C9fFIiMXG2C$8wx z@6~O&aQQZNv@RRdBn1PqII`G9xA4m$`YO{ixM_B-Js)=y*&#{ndfK8$$HJrikH^11 z8-Me@z|lG(_DNI?>K`lYw%(-p=1Ro)u68mg&yQ^uf_PFao6lZYwzc%59kZ@MD6bmZ zF(&FZGT+F~|DD`~>%xeO)5Whf zjlITi!-5Ifu1d$TZ+@U(kT;2i!iAHGXju26 zt9y{#xp;z6#rG<}IEn!&`5PKAw!XVqVlk#{*fPBaax)br|0Sv~feD?EW_4abkhTbnd|60?bJHC#Drm=q zqvr=?mX}jwF8!X8aLC`rs=UJDEA666%*X`7SVEu0A!bpN!V*COT+hZ6OwcEM$_CwV z7g-0VYGNfIh`S9#YSx4&QAr!5qO=`(YXP<^LjXd~ZvBo%pk=8NkiZcntRN{A4a}s! z5i(gEXJ-D~gn1I`&hzD64!?tKU-^l8;2VBkEbU-UBFs5F{}-8BMF7DxLo6en?zg16 z=mB5%sp@=7wo5I!5B(_XuUzjGybB@wx;KHfWoS5~jk%TrW&kjnpt=NX13IQIA}t%H zR9^FdK3fD_M$2E$aIhRRD0X6gQwIpS-zLT_i1|>9w@wT21b%Q9C985~3>23um~}N9 zjORtOCM0{#{l2K&HFN=~iEciL3k235_@;L`+uKLQ8-?QpS$t8=G(a=czw>-C3TuoZ z?;v`-&u1akf4Ljv+laT&lc%!7O0{S7Z%k#3krMIOq1B=F%>?~(XZLV=Q1G zW9VWiXwRP-Lv&Ju<5RDVnM7DzT7*tqvY;a68OEL6!`-FkPKUN(UU(ss{%J|{VOZ?s zVC?6h2GV&z_ipJ4`ha9}6BAMbmzb&u6+0vYjxd^5@|S~(n|m{NFQ?`V`0Q`@Clf%5 z%T8ee;6UaH7L8F@mvKvEu*oa0P>pVB7)?dHeGjrzIzU=%j$#?GBW`DVWRHbAG1KyN z65SG;_)bD%*^K`hWJcf3tcO ztd2%}FqYFglWFT3U6S0v+$Y21(Nx33eQa=iu|fKng|3?~SF~{@Hp`$rW5rn7brB}$ zyHS7Rei8ixAwjyclXAxg3`U#d=NL9Mu`hfN$!bvi(jSHjB(vZBu3l3}l0?7+Ji+$ap${9AxlnT*7C;FN&3Ty1t5(kLo_E z6BUPqF!Lbt^)psM4xlDe7L9PhHK- zL{-3gBta#2G6bti)gnP1`4v@Jt(;<5jU^C1yBYVTH`&h5f`E^uMLKIlJRM>$V(*SG zgoW!$oamx!mPEIc@!o2jd;j8vcIOoH?hN=*Xn}>T5C=LqdNHM@mw+hbyqG_B*z+ao zDGIR>VmSAP_w@YM>tb$~)xw?KBuvb&C4n-@OCu*G+LtoeegBO$O5tVkFNo=}K|erP zyaPku5LTtTRY4V9`orZjM}Hn|B2fCB8Lsw`vF|Pdm7{HZNRsvwBB=2bskT2bG|&g) z%9M#UP+_&OPZVT$bD;zKWvL4C7~#<)N#-a59q)bbH-yWlRG%I7n`;cDNf#I(9~kj4 zC4Y3qxr8zWHs4296%k$i4Kr(DP7A`V+1VUB@XRY&5QN=;iejKDEg?Ym$2H*GGO&@A<;&ynIn4QMnioWq!bk3V=A+XIf#Q1-TF(cB zLtw;qV8ID#BKvDzqJBCjD4$&(#)VJUlso>to;(i#eT`AUicUM z;kn>J6`}*soAdb95}mWe?6h_02T$^M?SvjT;#>o~2T5XUe3>&n`mcPRMPH0|Bn1`8 zat6>wIsyz&tOooT8`f(QI_w*Byh1h--n?GSA)1V?a0P-plFeV;NY5~2U86wTAr0N< zOB_CSDd(8P0teKL&mF!|5NyfdHZ2SNpA!9CD6VPmZp8T)oce*2g{QdO338a@XxT*D zys6=Bi!RxtQViFn%pM_gW_rLDkKV_@sks=~QclHc0mGkE>$9?hj2$oBnOi97AgEE%JNEhPePN!*h(4%*;|F=gySm;m>7PA7;J z#kl-uUz{^{VvGBsZY2gX74C5*Yev0~%L^Xttm&YAH-}gVwAw)bU78!A*A)e$2W?gu zI+eN*pwa$}3^6uB)muMU5~Bd|(D%l=8p8Tw`4I7pmAik+^ph&uECgXImBI6YcLr5j z_E$klVHn!UMDh_-Mqt;`OE-=O`)o!5y>j(^J9r!1C#U<5Bc;nM^11}zydKU}0#F+@E>(AUh z>)jQ}H5^lrM=ewkmLdF3tuCeW?k=5FNuN3E@?RYEvvHC!7M#X#oAmZM3na+$>dl|n z30pbwxof=;NX1em!4zcv$cL+xnwdQ>T!eBPj9@{9low%-bwLp8z%ODvT}TpEb3dVq z9R&AW0M$PUK(k{qRc_Z%K>I=qC!Dl-)@IC1n#=A%j)2pgP*%h))ZPsjs{*bN1#b5= zl+)bB=peN#YB{Dbw(bzm&Yp9*UFD85aUuc}BQE%|O?5=n@$YweQ zAvv({Rgbzy##3~dnx?t%Qh;8o@^inFv58$3g19U zrr`jh^w?+CMD1_iXp~&;-+sl*#zBYjwq8;=V*m`9hrZ|9YK(HZ(Jx7m%oi~-I-W}N z(oOq4#Ci{2jo6#F+>bS~9Ym2pYKGSr4_;o#Mg`-k9YM~o3X8^;(x@S)8&W_5FEEDJ zgKh?Xtnl)`8*+4p=6ik}3IjPQfgGCFQvch*rhOFtY;owQeFlxM`fnHoXl+S#kOCu) zs2dFG_{(0oBf+&NI_g<^+WT!Y`|r3Z977)>2X#$RjUXf$arcDTx50}Hh!~&CA?_>s*x0q_SP z+5mqcq09V1okrNSkfObmL+4x$HQ5~>8V=}&aiuk(MSy=e_aek4G$ ztk(tzFbRX99vjO!=a>4 zB@QHT|C7A8&_m*KJmNF<9SVyJj}LwN3BPmlk!VSO5iD5ww&hs z5k-->faugvSjzaJPlCklx1x?90j97A$G{v2*MObxr{qq`rPMAcTD{hrsKE4I(l&Ky zID?BMTnw=bflR1P z!HR%mr<&oy3Ud{-UadBVO)b;nOn;#7W?(jS^yy&JHQ_(hI>f>D5o%|~JL$5T97#BP zK|8mrJoxvD`Zqrk>PG#m>|g}T2#ZYkk|unO)%Ws!I`o>mPpUyG|CAS7 z^2^{+m>I(@Po@juw&86FV|4SZ`HPJ3wd>U3dm_XW3bSEsfa+nDGXc|uUhw>*4QdrX zx2zT^eV(ZX4VN;3E!2GDwCw`1GnuhXY=WMe}dLipsA1_E+`l^glI+I2-Zo4HHo6 z1lM3qo>u1OS9GZb6%?=IE|eI7Wp5z%?L2fLJSOw@#NLu~W&J}USr)s=b? z(~S^m{A5wX;<H`%b<;w)j4(R zBaTn1Fd`RCVtr6x#L+f`R;da}is~Xh^L77+9;yd>m@M{zK4$+YnP*X|OA(r-bfrQO zS5-2|XZ{(J+{8zG$K0^zpo_30Yajix$o*#$=C54?Zm`JJhPn@B8q;E>(y0`Zo>z+Q_RC4oiO<_|B&3Wn}bV|*aBLld^jTq z7X(6WPrHHBMR=yn4flw(ZH2kbg?kNWOJRFEZ@k>{y+UQOVmdNnfNsbQ>v-R@HUROM zA<6$JYp39F! zeGAQW7jwN#7A(IyZ)s)nXj41LQwIin8@#`+D2F3sSBS3O9M+^?n8r{9fe+rUkYSI- znnq(ULH?qNKWEj90-VQLx$mtyS4@k%R%Rt<)#7hZ1nz+GoWS2)EJU4425kL+4AJm+ z5FQU)fj^c9Lyb-dTq80vUE8c~>(8N~tAgAX%6I^zzO;z(6bC}!(rvKY;Czii-CvuLqe(Bfp2)2 zH)eX3ZiTn+@Aca#)mVk(Fof(`^5Bo9`G<{|DYWPu=rA1OMMG7G?mx~XOLEZwE#f{GEiCZ}tYMRxuE%OF8*#5|5wDVZGS*mxSUH7_r@(lZ zs#y-`{K5xJ*pabNgU!5DSi`^T4z3u;AE%>y3a4%(p|e6P6^AeP$MDNg20WmoexnnP z120*It5~Rj$LE|aZt<&k7UI>bb=LTx^}~!25&v!|$D3#Un=BRs6n4z|XCjUP;wqFk zTe+D{8duRX;CqMuRZ2zA6&%E^s?L)3*N=xcu`kHeg_(dp zuW=e$T1Af7w;jx%Rj%%l5`iOlE<3=P7xnn04(-|yo6Ct}|5Wci-2m_WI)~r3_Yy$J zx+@-PZe21w8FG`MdHCQTkKX3sC3bUo(pTxeQECFD9KbwVI-6}yt-u!eHnJV~aWc91 zwK3NX`(0+Y6WEH*$}=liV-Y%SGvrfLqo+0;;QSejjJT(w4zZ0| zvwrE~0OJs@pdS$U59?RzxJV518E>IVqDHwktNg8d_)z-Q@Jk7zLeI(;XFAL2cFi(o ziC)AzE9s5)CdDN;nc!I}rghRGw=RLRM#H7`=m01FiH}hrRr<*RYe`ZKimG&%V8wff1`0hPQfUm7fg7DTi(~4>Bci~ zcOqsCWxW=czZHBx;))4+eCIY5d>g<`ot&G&Bb!=V{i$sK=Yt`AtOsVD>d>NmkI$01 zUL2~rx6?~Sh2gWq`?XjyhUMQ0)`~EZ+d283uMX;)n^FJ-l4$$Da1!GxClV<)lkDaw z`oy(|^yCx~N3LeO?;K92g)&bBRGyrJ%%;eW5B!ADmpJXtM=9?L#s}U(gQhGi@d9?)6I81a=3_ENOt(x-1e~rr3|m}kkEsSAjRdGF zt$SV~nPPcZxFf6Kh8Zmfbx`hO+LDW*gi@hOEFaE|5;mxlBL`@gLiQEEjD>aB@fG4AR65T+p0`?)W~#lyY2j;?aq@dW`u3TfJ{+|E8e8~> zXuy;@cQ^9W>U9bFM@KcJ7~>Qggk^@AU&t6@4}*ASeh)EqyzWzCH{?O#+X^Lagn47Z zu(d1bTWe14&1jk6dX3%hlvy#4cML6B@tQPUM8}E@W4Hj?rH2=LsqH=prn8iCQAzb5 zms%o>);j(ag~1h8RZm`uHNdUZyb}(St&w?7lgM+o=+d8#Vvprw4j3N}eRLBV6C;Oi z%=N4rd+xn7u7X?qj($DWV1Fh7KVqX`emiaCIO^axjz~UU60@O{syV1F{>Pp=@B9ti zZM^y1+}_=Q+PKg#~=%JY>*dJpl;$+ znm>}#Y7e@R=}3d`h%_zn+4R1{h$STya$sT*bcVJz=F@?W&<9x8LoY<~3zl)Q*59Xb z?t;X?qs1xE$}2h(n%1Z-60Vjl(4RXh!USrKnH6VC3}i%s=-VeIg7ouKYN;nkU)U8_b`jJIevx>7Z7i#V-u{YDP)uJ+pFn%8z%s`CzwP z$x1#|Mb0sw21#}w<#<>)t=2c3Tm zQKKEoT>@d>H49*0Xd@#d^H1hYT9X+idHl!F)1W}^wAHEL!nG!#2zn!eT^DcS1sxlZ zG3Z48xID>R1joI&vtYc8;vmz&+~4(XSU#%$E660AoU{$*3CX+>(`H}2m?VU9`FvU> zinRsRrGR5TJU)VXtVisSV)$T+<7A?qRBOedXCZAq^j5#~NT&_fXbMB)aG2vYd5C)P zq>+(hhvsQ4THpzMlEP zj46_{CaDX{ZdSBW>yg%^C_ILPYz0Tr1yBQ7vt_U_z#;xZ0>pVp@=#P@XdwUj{9zaB z?TBQ&dlfB9% zl^3~YkCA9j`e^=tJiSwtEnCyITefZ6wrz8jSJ}30+tw=Ewr$(C|Jv`@&bgd7IkSz( z%n>8{6VaK{W4?;I+v}ssIv5OC%%(_Gft-VCL+VO;E>2eYkAQ@?h zdt?J}W<&s}SAqhg7`2eLvm1YEO!eDPWL|VAN-tdKfNe3oNwDEI$x|nxIkn)UOc{3@ zIR87`_^d@DI3GjbV|%pP45V`jcG!Pfi81kLAvJ(b@Rlf*mS(b+o4{H=n{&AU{j1f7 zPz*$WSm{@`=HSuYyi<%zx%lV#?8Qg|qu zZ42uE>eDAGgYHs0tt1>BgmDw15iYgxXGe2~nVw2sjC`=0%JZ&*gG~I{Y!2Oi=j{`1 znVAv{eI=RaKMd9-N$j+oB}u%s`_dd=lwTb)h2?3p!DPpW0yB4)-C8(ey*edkhVx>3 zQjw~edmHnZ29niYI0pVv$I zxDmTr#)-PF9B8B7 zu!fBxwC24ri(xv&Qcwx&A~X@j&b4Ga`yjsDH^YNcTtSs@coJNzMmL z;^7ZC;hQ!omr^xz%BD$*dvDS|c#Dgxp@6G^r0$=#&ud2dIE@%p3FDI*S#C@25bAf%_xEara0^J`MG{aoY2r@@- z27`dc{Zb{#y29xw_*C!+U31FDJTxt!Gd%%zvDAck_>}C!ONpCrQhbJG8Ita3fkCAi z`PQ6FuTw@3vuxiFm@nBQ`kX@~EAE({5o7 zIQXp`heN3!mbiZ+)&KGkDCmGv;{X00UN(59IYYoJ;ac1UW=_VK;c~GFsEu%gBd#b| z1nUlfD=_e$w@faM2^*KJkJUUVpXel08!?#5^1noG2VnW;RfO=P1n@Q6ofJ0WOR_)& zdp()QTciWZB2WOma_qGjM%|Wf#N4S0S*x9QEwSNB`;rZ|%}dgqj4p@qgm4cH{9U?O z9lN9W%`fwlf!D)W1hww3?&EA2pAGp5JLh7WJ7_bL`2uF(E<6SC6H?lqx4d$pL7-nG zsxMro3uml^I_bFWM}`HnkqwU7UTwN(R0)z^RQ125sxR24*%h&!&uPtt`QnehekEopuB_;pzvVubjcln;l)iN zY-^CaVy;S4Gxow<*#m?-sn|WhatkLQzF=w)veDW>kUK=k7d^1>l<2zY9LA)KZ!xUcG<$Pl8 z^990jqi(0g@RnWvRjhRTtqDwl1rOw%1vU?W=S^aJhYEQ&pOqy^?xhCFY9VIe_Nt|JU1U0 z!~Z@`0M72%hL}&udU--S`opJlndsztyq;_zf8&rD)l>mLiV7yzjiU$ydyiPQeL14z zuSkZkw)6U8v>6{Q?bR|{-7eH3hW>_CJkwVH1KSVmp9ec@OvT4@VKbO64wak%zF(&y zMxNl9O^+8f&i}$O8$&x3gx4X&LBwejO5K4-(vFbgxEYnu$Als^ipA_Tg@09{_~#qv zP*ZSao2(@9B1Cj8x*5N#+-dA)IT|n;>!2OmceKl!2AIRM6c#o9>2e?Lf+yHcM{aIh zR5!Zn5=D%=%pv4_YSx*YA1i|SST6)3VgQ3-JFJ13Own;z@VP4QXAgc`(nfKJMzFZW z95=To0(YJ{-wx%Iv zPZ5uyXB6F4>|6EXX(xo=gQgpSRp4B>&r&ziY4tDNxn6Vz&S7{PSWLI79t)Hou+&GZ ztqHuF^@M$>AY~P67a*lmT`vs2TiDI;={;E2?EuZ{*gp+CMU2h+qvro-SSfWIdF&dAeLST^;flmY{j`i;&&*4l$)q z;-oS8O%Kpe`9rX_Zn&V4Qa@1zv86oQ7&Dm-@Rxrt(DX#;kPnYqO&M)K<^vqHQH>pb z-z>0jc0CoCcO1IAuelcGbDwTdorr-x9#~f2hh3y7W+O2AimK(}hXeOcL*yREYn0#U!x8X}AYN~t` z2G0|jR0sp5WI_nmm=whB@xn$^w65<-+^?Ko=QPqQY|J#-T0-0#Nr{-7kH!l%PO83} zF&!@-QpESj4sof}zVVKcg>tuoJtBZEr0yslt@-PQ#nlhPm(Yml)3 z3(Lm*Kj0c|#a|>-3J4LH@`X-xqyjsI>7X}`N=fM+l7o*aqR1EdHX9oxy1j-w=pb*R zPSavf50ts9C9;RtZ(}Kn#| z;nkEwFW2q}bq2eR_IXh*I*&j=+!1b%zMs_%_%j<`4iCE!|#)*@loz;#_ z26lZIqGyfr*gwpc8z-iE=Q(~s7X1VvW4@Fi0@47#F}!~@D4URluI0Uwi^9YTO56%g zPZjopeu&*GYq%4H2tK0>uPMJqrLTlcKfn0izju`%{Z%cF(f>H-B;H$gGLiH{)I!3S#{W$LbC(nKF`%At+U8J~ zL9Kr%;PquQ&7~N2ov;&vZ^=&oq$y}Df_K5x`TPuTt`|)3aji=wkSS!y>jC!KWvB+-BT%=g(~z_GUjQSU4&suD27!^or(w z66A4Q*CaH=NJGGE#m+Tnnw9@r8KK8^0<3|6V<)^Mt8)tYmCg^8gAMwLMYOKO>MZ1; zxuN3~i~zi1&yM*v_fMKSX*$-~rOlcwTN%^`cFQ`l(EoKokx}#z99X5ApYGsenlN%Z z3-=4<`*W$BGU=ot7R~XH%*?610Jgb1tARt_lbh7wb zMI6>Bh^yM}+G6lFz_ip@{@Sgz4P_0>jQXEo?o27K6OK$!J^M0NSMmP#1gn37u(Q%4 zZ1~kRG8C9u8MLN>Bp^tqSd1CRX7RZ`e6Dqw&P=!Qvi({5W?QRKa6Mt18ru7CxjatR z-`U;uT#2|Mbwec42}Cf(0`bKCdJu#u0$t+9E7>=rE=49wam6Ed>S6yG-ya(BRb&?3 zNR=^QRFI7&7v)KB|2=8&ekiEYrE<($Df)riaf?!8>^N?dgjK z|5R$u41?kM?EXZ3Kay*lVZ$_brW#bAX~BVq0;C`gf&j3K@Wwf7V|-Fx8e7Q8;pXZp@^mK zKPsyZBo&u-t;i5#<(kM^8%f|Tc!ll!7?sI0Qgns!uo25IIZ~w=0ej$?0W;|Bj=mnV z)AHx^al+9ME#$0*Wjdc%bU26p_O}3gcN0#RO#pM>J8%o40V|B3(yG!23lvZ{am%!d zEJ1hOL@d5wi5DW?ugqYz+<#gf01nX$h7JxmSIYQM^LkoU7#K(`c4>m_rjT2a4mOI= zy*TkM*nv4T@8#_*_C?3t4q8%F^5FN%W3}fvXS?VAFTe_P!$_PDmCj$L0$( zU5P=zFBG=^{n&yM{q%yI>jvTNR#Kt%{4*ZJoQAPw=Y6Bh7HxQ96f8mPN!R#qhDS=k zhl%@J=R*OaL+rKtLn)ouCerWYz(h6RSC9HIhxSo^IFuxz0sG@thU7SEqjd0;i)D%}Z58 zadpiKm=X>7vn+-OseRB?hN{z_G5gXS4+DLsMH1%q4R_pqiB%U{H!Ng-KTrE1N8Ac? zQ8v4`4qesXxb?*HIRQFQ%rw96JEj!uq3!xv?O&boe^nt06n{9LqGt4rvW$ZR|C~;+ z7N9_da=SQ5jpTnYpvN2GuhyU?@o2bDSA(n0df$BPWkpX-68RWDLG$GQKJlYm4R~7G zh4OLEy#s&}@;R9Lo*?PR&bg6Ih|UT`(Od*@aA6F+LGTfi41m4&DN1WW#l9g@aJI~n zCtli9CHcdpfaW3JknGc4)!Q0_>y8F7ya28YFVBR0LQg>fI*w8svn(4CK)umYom}U| zn1?7Rs*2F<=iLjlFGnf%UgUXvonLiEwBG?w%&INrR3cMJ#1XX`6NN8sz1Iqn;_f;qLdPtWeRRpK^Yk$Tgz41$+peIzWxDnM3 zOPF`nKD^rxWU*GE%&fn9XtDmvV`r@*h)PRbmP9Vp|fZSmmncX%Ke*N(dJo{N} z@%=6r8d`3+i1qJx!*D1;$!LyyO+x^e&A;k#qBXY+7tJ0?-K%y1eodATng=b38VI3Mf`3j&F~7R(!=nDPgJUbb)f949St{*8V-!yzQxJ-v zSossp=xQ=B{0{v|#@q&Ykd;_+f^R|1-rKZJZ5WxWkW?zyG1Eod#ACN)jxj>CNfOaM z*cWL);Cgt?F{Jbe15B|9lFj5ie_?kG-$Yri2%vVR*6ryKF%izyXuP0?0S&kLe?iJ` zhW@*pY#|~fDDYqOUNl53*2gAF?f=?55y4w^cw-qRU7*|3cpJKWByHTQy1$p@PS6{6 z+G+7gf*5q9z<}VFE!jB|zRGms*0h45vjPL}GmMr^s}R`ZiQOy?76di_68oBA@H4WG zdxQ2%s^AbLeek-$f-MUSQ!DS$Alqe>PLjPkfL5{3=7|kQrx?{^apB{BnV;~i@t586 zJt#qAg9g)C4X}W;-?d|}$jBoq>bQge4hYsq-mf9v^!eEQJaauP*AjBUq!~@eUWS1= z8dPa_BoS=U7qtY2Z)az85?S-aa{5$cL>`& zuQ0<`!^xJ|qW8;nuJ0e2HF;AiU7_Z9yW_787Jy;LOKIRZ$U$kbCVNBm3&t=3N;-tQ z7=RdjIV0UR8#vHqyFr@6+olRK_egh^=9wfEY}#}oDD%j}eFjOIVr|(1c?hI9+5Ty2(L(2OXl?X|(jw(&NLEiH=c=(=wCtdTS@bDa1=B}@d6 z6DD4R-hF_Jbx{_uf)bM@1Q8chd9X>a!<y)v2S&V3<%7aJvN zFBU(Gq3@b3_y*i+-_^b2&J!mYJa>>Z^jx-=s+v7>HoXsZAnb4SAT?JF#4rAuV+d(s z43B@Te!t3w@PHL``=^PaY3A2qI|x4>`-2Ic-fKCJ_pz*;X=ziFi>7<3oY3AAT_X+p zBAsw%M7M?cftK3Wyl(v6|Mfhl$XxuaTHELFc-yjBen$7vG6t_Vu~=nZ(j>N(5ZUycY5pm zt2aH7)*XDka*+u$o}g*D8Dc|8#pW}78k%6w<`5rwK+|l6+|e2trtY&Pf@~?2{cx7= z-$T;hr;sLEH=2Y5^=O>qji?atUQ70yCwJKp>jy<4R1(;{D;OT;)}%Wzs}XC#%RD6y zaxI-=Vqc45H(+_3sBfFes3qX*3Hw+}8vd2y(~`cR57md zYXu;0;3aQQ!Dx$8Mm8L~*AXXod6`}hi7yUV&;3a%Fgs5n~|bZ_)Lab&fzVs*=r zYICL5B1qm}3K1~n!P}96|5{SJm2n^Ap8Zo|Njn{EUlfiX1)ff^^t`5O0!rphY+T~l z++KHyZ+y!Og-dLlS87T%pQDNt=I3x>`m(DDBz(vFminuOYo>K+vyLP8&8ZYP%;f~t z5Z^?Tj{6o^O_b!05==otAW#H12F{A?uC=KFzW5HfjB^U&Xt`<8hsY2NFBhj(X?(|s zcr#t9h)!lhLrY*&64*?aiEN*AmeGxh5RfTrkd7zl8zEt#2NKdGf)$qA-M}h^Q=lu6 zRX-U(*5R*73Q0f7F7H>s5aI#GgVv<{V?|l@ugK$I*tr(v{WR>a^t9IhX%U2L&IE;& z5Fb|RC_E{#V7;Ty_c1}s+4g~QGt>dMzk@F%2HF;X8#rGg$7cw7H{x$WUvsYv zLbzFiU<0Kepb^AO(eF%V@ZDYtU8c>kV!9*uP^kQa74vmaR~^hRil|0 z;K8bX&kNGofxUOq1@|y6d~Nlfb^#ho<4f|a(~2}7NodA}iZP4HV7q-Nw!6VzeS2^? zrsZF(BAS8Wj{#9T1AEKBMOIj zxD(?U@Jw{VZQydWC~p*Z3<94gCNnNgo1p zGBx^xxS2wza!I7-mugi<=$N55Y2I%kd9vQyMuZb+iUL7ZLYriATZQ&`Lw}-*@zFjM zz0Uih*Zwo9f|v_RUt4M*l1aCw;q7apY6mvaoX)UG#_0b8lQNb~R4fV(H^q6@cuK97 zl}=_6HDWLi2swhqQ)nAZ5Zgq^T>fKsD0Ox8`3^;kh|$_WQ>C9cd#qv?2>>2XJcti#%9>QnNJ(+RI?Q-XKQ-Kid5e2S<{VbS_6--ZTz=X0^Naze_6BI{Fu?L z|5QGP;mKaGX$c@SR4w4=P5?n?i*&wPd_p76-3Lt`;Em^o7_F8L7+F`Kqdn4ylg&a2 zKyOe2(LY{!b|)n|xEsj;yq+-XD$k8u`g55ij&SEwOx_l$%x>8?R+^nfnEwU zoDcgpPI2ZT5s*~^)vE;t=bjHDhY0B?!<7qln=lob8liv((aL6n)xK7czFxX3MlrOj zg;(odNGef|mp1tP^fc9$#2NTl=M@bb(!)>{B2dwH6RNxzU-WjCW~RFQMZi1{I& z<{5y!iglkicFVuF@T0{6F1yD||+(v*k4wDY#O&NJGgcZ%p zP(Z$Pj?!I8a3iDO@}2zqOk^r>e??9Afl;E8CEa! zl!S{fvSr7)(!``aW`p=^cjBo+RYgec;~(Aaa8k;s8up-@nG6#-|5EEsjsQK%OSKSk z*=r197^j>jDWnc!P{T5g*&=K=8lKgKL2D(_C=XSMzD8e+ufE-Pel|`@73}1!vo))} z9;|Q^k^7||n@<+WZAZY6fT!Ij5vIH|PK}O34({>TUEu~dHWch4WFS2v)(6XG;OtBh zR_G0tKl+qxqkrP)iTKtQv)GO9=w0zI><)|G7d(3m>DJ)ZerXPeO11BVO<+EAS$|>rcJiEz7r}^6lGqi&|0mV ztx09B9wE%w+x4B*irHY)ga?%t9!RA5IJ|%k9TPB|zN`GBl4wbXl-JS&G@UxY?jNH$ zYD%OQF!38r4N4_eTUH-*)YZjKPu_@JIxCu0AM>+V9M86U$(mvj%t6r@C<4rFZ{AlX zUEuC_{xHzb!{|1s?F5zF6-r&4<*{LwC7~wMNb-Otkjhy2Ve(=o0hQ9h@EBLQJR9C& z3D`g~8@92!E~e({;fF_P641Cd#w)nI>^7{4&q%OVp|5YbE9i5%iUAP_5JruDKF|d6h|S1 zuMbBJleFaB&g>m1QRO+V*p>(XCf)#KCG(MUa3f)L@f@EB&=1Ah;-I zH)6FS=0+7IR6qgI#$JG-<@ImcbKi+q8l$34 zWe53f|KG(6F~DC2$N;M_$U5b;;~p~EgVWRGJe3+8+TMXv>>T-d{Xa2&mG4X8$dNTW zdh>Or0?c8nlX=5GxT~mto>hW@5PKb5?cLtRSo>V=Mb1-OY_@njDbcz$^U|my={TO# zEs-+rNZxfDvicKW2z+sK8tRndjaFu~zs<%U&wRo6tI>G2(2tTVy(rW0u>??jklt7< zVV|t22gqHa3_8~w1#raQ1W|qk|NoFDuV4X~^&)sCu|3bE&Tgvc)wOzKY2{y3EK{^T zSYg@$Qe@u7=d3vO@6PKmdl-R=;4dmwMgxLUr>gm+$yVIQw70Rlw*p!JmpduOt;kKn z9nmAG5~p{Pc(BU0s+oUIdU@573K6A2}1DGD)p0K9|n)# zQ#3UmXO}!i;LT7C>C4Dp{JzL1>Ij-F2nlCdLWOh)r`^2-iB_c`GnbNN2_TbH`Va0X z@GAyCq&AZm+4sxC;&(h@E%&+mM~Y-PD!t!IWUnX4xViQ{9&EC(B4RDf1$LFYLj`)e z;kP%K19xX!mC?8$fHR9~3<)VHgovGpeVGCdh|nmRT2`eB9TeaX!R~6B`7%asFryP@ z1k)P-5GB9tZJwO;&=q^D`>VzdxB68Q0G`b4AY(XzleVwRJ>>^Sz>r{o&d}5tf#Dy1 zj$YjbeQ{tJey_vc0K;DTJyFa+{|sk_eZv}7K%kY0UipE@$KIv}e;@8P48d-U@A6zg zvgm6`EN;#eQ=B*kFbKg%Y2-s>{9bz)wIe}|t29;+0}hnUp#t?rIzr9q?#PQ@DhJ@*QUZX)w+Hc52aKA1!~MPv$no+L1}J^ zf|8l&yy{J`&E}ia47sB^POPV3{Xf)FhyWhwunvw0p1Wg|98z|n=*>+F4|UNvSfGhu zR)rQ+^+@IS8`UY;%P0up90o9FU`SsM9!g#dL4z^k4r^m{dp2Ldn;+0GfQOF!XQ2mX zkqoAxZO4y0jgV7(s??)kHQ<7O{*Z!5_wlye&D|!aw-(?wszxSWN z4z{i@Dq5|_;@fgC`Sf~@4s?sakRxd8l6xd@5=emcq`~tyQW*PTI+z4c&YRg605$jT zR=NoDB1#!D?F%jf*rj8FS7fy~BAJ|&tzht#iw4!D?eBblOf1`WI@i?PgT}@NX-XPO z=g3P6ciPi!uL;K7aYRKoA#K-;JF%&=IuhFol!?SEuA)umcK{Z2B*z>y)@FMod@8*Z|+FRZp% zyu9fNF^*UvVG`yo8qxNF5ABhY3^pV+iI=FG;P>riw6hlJ1Lbh z3K?#H;Hw=%KS2)9tVY4T`M{BI$xe@bQ zSkl#3#s20h|82qJ7=V#Do54h{$!QV&67AUUq7_EvnxY>9 z3!&7gV zD3HC`l5ZxcbaT!q;s=PT1MOI}E);IM8&$*pQC;~QODxS?*U$BV%q@K7FIjx;OMz@O zAO{#eF1UoI+(cYJ=^)c&e^zv{Bf8MIwaKkkR(eYv?1couD3X|z{IX+?cH4Cy$pP^1 zi*G0+`me*^FlK)w=34Legd-T8epCHeXYM@me^TEqB@iDmcqpJUIxYbSJVwae)0C}G zqED(U0THs}-y$m%I$zQ9sj~mlrdJfeKke-$C1e5U8Uq;E>;h8|G3fS<2W72(=xywV z<<}5U%OvG?vdL0qQvIcie}7fcyz%?kg3fp<>ISOn-@hY31RMb|u)Tr#Q&PL1LS+RB zA5>R+3X~>>O^VUzsD`>c)CmF~YlAWSa)39>HYN-NzLOd2{cKjli~1QLAU&b4EX2+S zIPvMQ_@8Z4aIbD8PEKjY_c237-4(AJIC)O{{7kjsl;6usE&V~ zij-Pu-Mixotl|c_Xok4Z^kZeG_Kw$OVDI6sY;+`uM)OX;7ZWk%*-KiybTS_vdOl%HoHxY&Mz{X6g4Pg$R=J{T@?YnXKR~?ZEX&_`e*>>l z;F`nYo4zw@Z@tWKCI26@HB0?ls_|CUzjs1$sEHKv;R!(i$6bkQ)>;V~q+)~$iV%6R zG?isQ<^4&lKrxX0^>og1M|um&0abzW%g6-a1`1CM5ObllApDnG9iIuIZ4`5&LIijW z_)rYr8>2Q-9{db9_gzpoIqIWbEn#&>xKM^nY%< zXog-AQge0~&u;WQvYVW4bgJ2NPTE_8N4{rzSz2K{COiz6sUgB71_`e@r|5X~K_>CVj?zOCyHgB?$De)Pzv z^@QxfcsruSCl7nq4UWh=6bi{a~7jOV$I@*E2Q{9H<3~>E%J}3g3y|H9g%e^t`G@wCIv_VeEE!ap=0A zhb9oMsY1FSI^qnAlb8eQMeLJA1u~QN@}-_k$p=*C?Yl#H+fbaC=q4s=gl0nqq zB5l<`zm&wV!WY??+f4U$3S*{+Y<){yt`qY?lH-TdX9Z^$gt11XG|1} zI=tO|TE`q_RJkWK9C0U*Bo%T4i+p0%2s0C`qbmqBLo zUqEz`2$RR>Za_t{x{xYS57F&^^$sC+E~8Kk7{?kiq;R-DCbG?T==VZ&^Ju>mql~jY z4Lt=sznEB8s?nIVzBhoo=UmDcM8o`AN)gcjDsOyQiTz5O$SB}3bD-6tatvjoV0?A#!ho%Fl6kJzX7kpiytQn zKg>9(O0}7{qCDf`O}_gXnkip>a%%^-EjXC0lMi2k1mKxVT?x3eDmau7`qS>B5qYt} zFax{yM4g~5-d^MQJNiLzZLDOdN=WPSief&EM)>#9XbG<22U3hdssCV%CDcTuf|K>` zhd7QsZs;GE5)d|g`f3$;{Z=G*bXAEUPBNRK?uJ(JvG=G&X(cU zhQ`xCU4t0(aT$yt+g;VtmT3K|d%Q=eQ=)O5HooV$u}M}9M!U9=7@S)y#83|CPMyL1 z@=6q-V8U7-TLMy(Pp%Ym-4OA^;eMnYd~8D#oUC2U6qK9IPHorkZ;T^HlhfUGEn%6* zDh>Mspo%u9xy99AmyUr2B;5;bmLz#eBg=8oAH)!J6Ds~n4R!?ot5f9Dy=IsHZx#SW zxnTf8ls=TrIeQEaY<7j$pb8`^(2yvAhy-?2Ct-M-*umXv1K$J2BwfyAy~zabONRl* z00HDkm)fZ0`a(_ID_@uvmA4_&I9#D&`D1FnkLq}w5e1w&sT&-0bQ>{MBta0((a=FH zUPLyGb5rxGd;8>!bB`D|zrHxQC8s90B6*bX#LN3DpM}s?q`Tt0w1!1Dy-BgAd-7hS z2C0Cgu_g@2CVw%iuypJLMtMaA`_!xL!PIx~=y(U|^!$feU3F1D?)k>YtZ{5)@gO=d zVBqgQg`A?)*mTy49X$KmQXaN!2w zJ~5jxVqPxCpVH2d-8#3xeB?0GH^eUyk?}*wa>cEY^g5E}8MD{R7x}83?|?X~0fZWr z%B%8Us`(iP0OPG?d=}hxA-c{!aw1k0R(Zc3|L~jXG)%~KdfAW9x?QgmWWp!ntQc}m zqdQ@VjVPVz#pR%+M_GZA|LX-YqDWDwB!gu7Cl*wBHw8o^R3x$Fr@jqJo9WU2ia`aq zsAKa`Sy2Jqk*o-NHdZJr#EH5b>`wvgIL;{Y^Lr0TSb(Cxyz@XB@4({Q!tJ5mrM&g_8T*xTelZhh?qlk+KGpOH=3(S-)S*OFAK3tqL(Xu%TAo-Riu(3v+yD8&EHVU*$Rr8>NPAO`ipydN3-`044g;}uu9_6Mq_ zzGnolBsA~beG;W5c(+7;NzH=tzotL`2$9_jy&o=2Q6VNMaG(o!42yN+(R(Gaa2|Z4 z$rD0)`*_NaAKM$b-GkO^?!F%NB@Va10tzXVSTac6015vRE6x5C7!#Ll zd64TpD;GZQgoGyEwXeyzjI}L}?KRZoNv^x;Lt=_V86;zC!Moxp+=eshWkEy|P+g!g zGDyWvkpS}QYmbkQz$GLIwwP;=nvV9n3iwO`SM{y~tr}g{?H)bVU@)Tx)zL%W@cRa# ztD;3Ba_Ozwl;#5g`=Mu(b+zfIrzc7+^CdSfwrNVmu)_x7CK^d;P+9bNxsovFkw2`Q z%h+CDWd4(~H7IXFukNj*RVA0_nAof}^)s4M-MvJ5qkpyP>Rt|#hm(2+Pa~d6PnI&< zV?n4|fCM|tpXqRY4`RgHH3!|dmja`GdwhRzO>MnWXMVlj+$vV^bxKrf0sD4DtJkM$ zp|ATw6vkqo1a@-H9sh=xM)YQZ20jG#{=kB?9Cmxeo5B;_`d~I(z~OovjKUS;iTr3r zPIL*|b{W8x9bfZn^LAZxCNt!Y91;8CrkZ^LSX|h!dD1G?%l+p%Nd%!kJY|T;hTmrH ziF3owQSV3WQ#06WLVhnFO(9I#LsoH=VCc{zGD${T924JC=j_goQiSxoT<`xa7g$T8 zA?0pAP5Fx+sJHtkm<_Jps%uP*cY3-muV>jC7!=L*9sT=D8mQa-Du^<6~+#z24? zqTM^TX`&VZm4Ba_C(noM+i-ok%WwIj=E)^8$HKxtC;1N>D11(oNP(331T^$kdLSB9 z7zipzIKuF!Q(PH{kMXBLQ>Uq$YQ?}ive$;__KuIQxsoM#q5^1z3+*|P*)0QhRR^`6 zaXD(mxOC}I!t#3`zI)?ZYUvE{`tBHzdCd>I7t`{zux~z^uyH1D#I%cAwP0~nYF=n` zxWDL47fF38Kigr`gkH_F5|zZxFd;DB-t}q%tCOTvB@662mC)1vt@iQwm$EVHK-X zFvDzW|8oLdsw70-mu3e%Vf}`RsDG*C>1M6eeTb>*H%TXm3D@RNLn+$L}7Gp&ls9(l=paT?iIUeXzH-(y(d zuzSt|^jNvZn#kAmVPVbob$^nfp@iNfI0QEK9`21px|+G1c6dfS4Gif@cGAE)U2h!M z!}sU5z={tWk5qbpSFl&kv4tg?q{{)bX72m^{ zplNRebtT;pkaL7tD$49nvDM$J4twXEls?ofeb0D?#$2i2SZ%((w^^>(@Y{sC3H#mFlcscHE zoVH9jw5=Xt!_P=!bm8r&nfHU=NB|yX$z@H#!WqHcnDZ&8clBvgD(C{f721q*){e#n!lD*cjPJ-TqzAs)^=dQX_v%|rE zH2&G#H@HIaJADU9Qh45N?lHQVv#$sxT^;ts8>(SlbbandjMq;T-ts!hs`Sl6+4dW~ zRK-�Rp~<9)!|XqxS|v72j50yXDy1&hD#nlq<6TL2#tAzj8yXQaIPrAy7wMPw ziL*a`2XEXGwhYbO(V&HXr2e-`oQld9LjoF}iz4GqykOt>)ats#4}DSX({^_HhZDaJ zFTj*b3|h>pQb$(Sz!zJqEAffKT)zQ*{tc*%z;&o$xiu$^v1X#2)+ntpVRU(l2sqVe zP_)#+syEJ=RYSa*_I&MAaF&<%VOGLVmlFTLcb(FjJe6KLXp93HdDHzXwehfT$8JY` z>>ucE<}vh&qkn*jl`#!VG@wRW|NWRIAWyFasUjT>ULtO?9fKPw)y}Tg@u>+QH7<|( zJ3=Z3q|71E%IjaVx)aEs&UftPi!lkp_w#!GYW(KOioh&S_%E zu2L(S%ztswaI+XV?4~E;WjptTlt-Gp z(_LaGFn1aqkAaBHklZg$Pnz3qi#%@4nLN=wFroK?4 z@HQ>%F&)@k;T`P+5^F?m6J9MO3m7X``Sgi5`kK zYJ~CalbHE)oZ*2bx?Rj-Cx5BLqIJ^jm0ct;`YZCF;PiV?tXsy=%AXROK)c81idM77 zmlv#mnNXX*IWE|>@%ix2tkowP4RyANbY%GqYnDc(>a`=80&^DJkA?U6%DHV#)|hU& zQ&&1a=rB?m>f`?->??!f{+2dz4-gV85FkN<1P|^WELd=N_ux8AfZz~ha0wdRVQ{y> z-C=Nd7+{d)f9u`7Z|&aQ{r3AXRa1RV%hP?H?q12SeMT&swl^(P8$QGcyk;mfJU-OF zkY-<+xo^_fZ;%zK6!3jGU!goQNFVVk%bcL>Bs~J*lQ*G@SZ?|qVX^dLd_jAX!PoM^ zk74808lL4Tizo>z0VRNh#%I*q7CfYRGJAS@+dKMGu6g}GqGG5#N&B)ijmdjH6WTOv z7reVb#Zq3U1K8YC69egD*1iKS+G3^M8L+kMKSY%gO*;RU-r?zCOjo%oNlPF&aZb zl4{TBBC_X=Ht#kDRV|8r z$IS>6uODqO&-IO0+#DYjVEMf2v?0U!z5LD6SN$CY_a*Ve4?|$Bl=U|d9`Yx5r%oSE z;6iEe?56G8B2>f&=jXs+Z?n&NP(e(v-P?nu9l_jl&RBm&t|!Jf?GfIBA$9fNS}gA7 zVjTh0bBfzzV54a3mQ=>uZ?9QR5RQyXS5#D3#69$ar!=7k*D z&qooy6OZ6oMW)@vW2wf4q9ncaGfPdn{qvaG1?4J;vfEE8r{hCVN$bWZCPnwoc?I-I zKkw?pm@0#kbj^qnpUB#wJC~fNd`#4@gQlhalof_OaBIQvOeh2AQMX^{NG>zfD_2N| zakPQOOi!+0J9$N04qR}>y_!(^_$NzgiVmitM{vqAEpm{&-uSaoa!biotP*`;z%Re? zdtKlJfZg_G?OAkaOgocaeMUFqna2;0iXL<8>$6Xx#RaBNTU8@32$VKiwi)r&7wep$ zUlV)e(N&aY$lz+arN`R>7;c8lvy)xGMMk&d=aZAgRy)gzfMZIupqzG`kZH=zX4dDv zD}W9(rTya0?CGj0!fLn|cg zY~62&{D}vXk%x!=QDCYd1+~0gfy>|emIamGNS=z^w=z*rcHf9z63UkkUN#49DVh*b`6=+pLxl37RHHaeo(xNWx z!q0_mYE;DX;-X`}$^5hr<%#Ov1(_V+*N1**Uoz6yZdW`A?{`mMa?hdU@H|SjYyWSiNew4Z8mWik1#JUjw0hhT`wS5XVQv<1469POwcBbA)+)hg2t^Z!Jh zYb?cH97R~P0AZm89C1(*VARSiVwc(zlkc9;R;U&qb+xx!S2M^2-*C15 zZD<|MSO(uO$E`5ozCX};I(X8T5AZaa3wJ!B)VU{?5IY%j8-?TXetK+g+`7(!!e0f1 zi_T{Kskq}$Z=*oDUqhFB76GVwj==jAV??1`j~@Ln+zo@G_OO}afH)t^avPy)L{1iw zn94nuT4Qj4X@WV1A-}f(#<1a?1Yhl1nYqWofj48x_cLU2MIZd}<0w_q1){aGej%3Y zLPg*+6YulNYc3%NB}A<68dMM6ZDrN@%8cm%d~nQfZ=*ooB)|t!yW(0`;Q(-p?vn?$ z$kOLLW3DhKd~WycYMnu=FsapNtFf5S8k5|_JRDtlzWkP?Y8!F>6q6||^gZh4m;ud$ ztFB+W>USkTfA;sBzv`0{EgN~A0*0l*e^AVvl?2E-1ED@Hi$(H$la0ucgS(4`{X>P56-#zg98-0Z*Tzpg*a~0-XwY>b z8A01qhLZU0WL4%5?r6KxoO;TK?QpflF_u>4w} z@ABqot;XcJ@$g&`>$^h7o>YW^gCq)6Q~77UMtIKlWaI%Y=l8kXCLOf0yg|u?F2A#X z(uNvG*kn0!24oU_RqOuvu{r5sl!EL?^Bg0QG5CDFPA2a!;$gi9bBdo? zqkJUU)4zu|D%^1AYiv|k1Y4475MLjJ_I*^F1oZ0a4l&S16a<;(~B(hTyf>&nX*KrJHHGK7yhk#m&{S&w| zrlZt&g))`z=-r+4m+j1}J0j6H=%V(+vl%UfjpOu;z&ItYBJsW%rz02iBHH~4ru;Y&NfgqxL zq4cnn&sPRv71v2FUa>OP5v6@*%pc!{o>?!9J|)d=5MkG)*;3xSQ5p^L)(9-o zSGc(KN*@<6HO1PT@0WQkyr3CfX=SG6%3EZ;_rb8qLuQV&Dh-hKPo>Cfi+lsTD7B=E zQ=Im%rVM;^rt(JNs2EXmTX0vlUocXXGonRt@(f%H^Yw6t)w&L~wP}MtmRE3JgD9j% z>UfU!pZ(IB`5<>{ysdNWhlV%6Wf=~PvN^+F-h+lSQJIk8}rUPGKCrp-#-qRIa#aZvkR1QC(V#qj8>H3QJe`r3Sjt4 z;o%yzn{)uE3eS!mFdZ~`f2B@62XZ_h`7mAZp=2dG@!7k!Uj)evM|$6NWABQyyv-J^ z!!&X-L`#ZyW@s33)a|!MV8ZEf2#dJ<S>VHeJ#BnS> zpyeIDKRFUpN{P1+wHIkT9M%rKW83GzEY)9YMT9oH?G2~vCutP_5fU=0gdW=jM2#PH_) zz=2l_a%mOyR5`U|X>cjgSPK=-Vh7P5@H}RgM^oOzx!Lpa*NGz=pG&mRhn#&2jOrMQ zHT~hL@Ho{5$Zpzm*pGVOeR)Hh5s{dsv9n9VNe!^_+V3FE`j&2Q977F$mffYZ(_aa+ zo2w?4RysqVK?QLmIaG`{VYUs_2$zQ>k(p6&3%(M8Nnv0o_!Q47O03%_l&*@hQLYr# z3B)+&gK`ERg-uTu2wPX@k(aRH_qd-ycNo|xoUI1)4P|c?azY<(#Z)3QVO$Ac*py#^??-3k_hcG zQ|vM~%R)`p_jzA@zoX;=4V8oK{ww4Xslw2wPr#^2DM!ysG{r_kz231q9%6Y0^sMGd z<92=eW@p2iy^OI!u9kb5Cod`gA!m!b(_hgqH>Z)eq4q`1Qmnesi%vI&+e>;aI3mCw zBX{i8$xxy5sn|?z&Fb15?3D{$q`)3Wev43?-Qeer>9&{;5|*HRsl~>b_%7OqmQ&Mg zuPVCZYKZh={@)sjUxRFjzSh%OezP5bt^#ddEk-3m7>KUeQ|P#CK{7A4_+bi+`6eMwpYzVu;zqC8xv(IqMQPh$Zz#Gqkpru{ifAciC?qD zk0HAL(Ri(i*#Y7mHaGndius`F)Ykr%OR;%LB$cdjaaLiG!&P;p+~{c5bAfE-8@jQjBbjQx6@VpH9LKhdZGJ0=M;U zQfN56x^4O~a@u5X$?N3H1cN;U2&&oH(pY0q!iR*7=#e$7mNrK6F#r{Q$F}dag!Fsp zHp>`+NzHl3F%7DGtFByuq&G@&B~<&_t-^$SIbE1Ir|9hT5ANm$i3_gA*?A*km}b&5 z-01s@->N@8=9W+;GN(Hcy$nxRmm0kb{w&?NBuK=mvgA!NZ_oODhroc$Vaml9R9QBo zD18Oz9uuP-qZro2ee`?R4(Z%bw_4gN){EzYj@A(NHbf{%v!qL)mv! zO`2rlCzSy(rKGfg_qyKBcWChE{$8c&cL(1S$n0vcyI-59sJv{7Deg$Xz-Mv1+xUoL zIBV)|==xVVegXHDaA<#;8~FY>UOVfsN7rcLBWGFLs=SH9wI=?4#&&frNv$xkS!?^j zh<@YVzcQ>Mq&AfX=&FT>jN)$V@$0(I!eCo;gVw28^f}n?9ac5nY_CURqHi#Z05SB= z=P0UKeT-Oba4G$FXIU#h{=&y+<~b1|U`lP(BZsmFOvK>*1^P3Nht5$CvA&)D4LKpV zBLDcaYZpyhi$!-8-nZkVzQws;qM^awwHgPiq8x1WUZ(5PPiV5=s#)U3ntz|tTrxJk zL&KW#l%U`SRpXEh1?BKk9>8ZX9N2LtMh;Ckpf3@xLtW4AFafV{bX@hDs(6VF-(*mMh95G|M!%?uD zA0VGWx$~bcq)1EPG=?${2}U!sug6NDnwaYj9`8GTKM~t^cpDMHFZqZE>SNHYJ*)zj za{cKT>dOhf#%=PJ)NJtGZ0BVk$3knG#nnCmf8HKb`7 z$)RA75g@nc)h+xAIl1!Z+oOk}OS_#cxbE(U?SrM4QQz%S8WI&9ePVknsJ6KiI67oI z?M0Z}YRR&@%G+w$IxM&?4w%Qvj!BDHP=k~a;;$`>2BN~&66CpEasuB2nrE{bS)p(x zE0NpxdKy1agT}8hVi)%NqxeHM*L5|^2lIQL&xhd?NHJ-Sslq82H>ugQ-BUxOA=5~Kak{*bB$(dQb}{+}peOMM2A zQGrPc8rHm>KSDp|-z8A$FR}49dtDtSWkH*20OX0wpjIVs(qF7NCIq8!@CRCL&Twl?Yo2dFY!(M+}LI!FOc~Lvt`= zQ8>$PQ(w!*_7{F6W?1~D>I@PcH0=$O5bG@pn&2@GV+<4koyI|PXfWihPOm}lXWM|B z<6AjA831pt^;{nf$~CZpYqxGw+fH)(cTOJnC$TjM%s;BBX6N@#!?@a9ef-#*02=^YbpiP8BN=Sj$GXCitx3 zy8DA~)wB`h7k3+~xdM^OsC(&>M$f&Pi+W1yrqPWp0sKMx2+r(Mia7fM&e;MNLar!f zn#!WxQ*n$O+!Jn`s-aadgv?s-@F#`lS8%aWsaDU-kQLk`S5gcmP-+7Tir<=}l#XiX zTMAjhq3UcFj_yzTNyE$Lzk@Q;WB66FEVo=`{?@2>Lp~4P6^*Dn_qI%5C>AKpXXzTp zIm*W`m{lKsHT+=T{@yM2(%-w9>|3n?-?GZhNWhg$Ktf8<=iWBfM>64Ex#yJ6?n}n(!ht4W)iA3>NnkicR;?qvqmHkv#$p%E zVInitf>w+sXcNK%0Gn1SJ+1Rtw*++uVWWn>W?P-C>nGYe;3#oU3B=3w6AtqFdy$`= zGTC9r+_%T{_0&8UNQ`@;bJ0}x0}?k{l`-g{vFdk0%gWA%j-KpG(X^to{uZ{^s{&UU zF1EY*QO_55SM+A- zsA<34^xXj#EUVUqNLpY?uw=_ko^723f&9u(zE77AHr+z zNoYsncRMpD@fMF5;&hC5)T|!&xJA#sm5?8ek*hIn}xqJn)jbt^0v8M zzELFxJ2>0q{7)GIJdnK4U&GRrB4t&_+FThY79z)eVmp@KnR@Piyhg!mQl`lY>o5pthYk6NYs?Jx zer?IuSgtL3^NAjtLg zK#dMP3S$zr^3yTd*A?SUqb7G@3_6Ly+#KT-c;+kfIw8u@8JY@l1 z?M4RtF2F(AkU_f}2(+W~UGIluqhY48b$nbJ?kstkkGl=ny)`!9Pe43)%^;gXll7Y@ zK^~3lBP%spxx3UiyA708vd{e;X8s*5#A(~isWh1EF`kU16h^)N0d^Z76Fs8XM6YNL zV6~g+z1523y`1DNzdv8DGI*K%^}}0Rvyi0t{RPDSLd~=di{dY-H~qQtF@Tu3G*op zScWpwCOO}d#0jfXP~TU4nT&s`sq6WXYe&}^9GCUxPafAvJrumw8@UsAM|UncDq#=h z69Mi{;vIJ=X-{@PZ;D(=xnwoa9gXFCGTu}NTsSsArBGbo4SV}T!2z5HPeIo`Yf5aV zbe-Z}b#L&_SB0wA@HCYMl}I3#gESP|cBdC9Iq$vrb!q%a2KdTGwCQ+03EE*yO^-Mx zJ|^PapH^SdnpbE?S?tYNwJI}jR-El}LFxD!L(_lD8}aF$?V8T28H7$;lUk;*K{>FD zoED1k7~l8~cohKdP#rpNuy^m+kg>GzzvAF3_RClb97n;(v=k=aDcD-sptGRy0^t);A-Sqb*xhVsocZ#7*84ZKthnQS#%lNS-u0W zDy2~LkKrpt_NW zV4{6gyq%BE>W-;2{Ow=#D#qm=#QZWu3^z=ooif$2Q|Wy5yTz$HiYerRlo{u~KG$E( zJ`U0#OaOcGDLzgJJ2+IV6|ZYsYk^KPV+QQG0yI3baox%f0P@N=rpgy*D$ zusw#>L;VEs*?**O)6l?mY$8;*&wtVt_Pla$ z(OlB3tc)H)fzSqu#TUkEg3=_zm6uKuzcBcZr2wRyr+4&>0A- zfoNzm(GZBoilYti+ZSku)tXht1C{d!HL1R8>4>e^(Sk0QcIfuc)!x6RQHW{ZN$_h} z=VK~=w+EyUTd;xFNJvG8VWD7dPA3el&K7#NpL!SU?DcUG0)O6;>&>Rz<&NC7d;z?B zpWUg~wtj05pnNFc#<;LrjvH9`Gq#D`2~&6+U(#>ZLCY}j{t2POr*U~kLGH3;>pS{f zNv^TuHZ1Q|Q)oL8T&*5WszMbciq!oC5VQIq{?62)n9zZ;FlocU;*zbp9!ITSSVL3f zhr6QwhJNb@POG49hCkVr+fmMYV6DEnXxx5G^9cZ+97 z&vF6leY&47+Wz(da8nev)c^t{oK=6fznd#QDqMEV|0ot}l0owo;PWK7cSfPyOZ0c| znwBJjJD$Z`!r?445QivtExyB@`P%1nred6x;Cqrcv3G@DMX=a0`ovn8k1qJ4EXa5A z_Cj2JL@;g)x3PT*$eZO5>ZnFYLd>|aCm&0!)4yO#KqDzqi}*N>J&-q}EqyNMIXq@r z9zl8oPZ@94S+c8A;Ba+vts+~{YDW`Z`j#p-T2bWKpU1NvUiG?Y5W%>bixV9fW_!MS z;zzQQMwk0NI_U$Bg=wt3+f|lr%LY9joh~=vILr)U-(XUEqZVEm}Eycx@=wSth4#Um*JUlHg}08~wSb9Mk3n`bU20fgf)Y!y<5`m0nu7w4BKG&u ze(QbYUsc@e=IQ>0UU;)C3H|BS}Tq1MhSq1Q8#p1D+IeWwuL*nf~+9swW<-Za6rn!Jz@!htd zGfFfNMW4kntsVakow{J`N1$I?f2kJETG0iSv6Mw~j}wnH%kL{645tBNG&3h*Qohbx zIx3hZ6Wm;?e>3(87ZCS;Pd=;9Tg^P%|MPGAv)Ggo^@f4F+Hl~{Za}eIu6#Dv!{ks6 zJ)}Sm)bIR6h^?`Gh)D(6N%HyLEWf>l@aDQ-If=Q>>a$yTH^|Xurk?yd z{2_6|b`3C?Dko$NRzJmtSbOv`w@MfU)o9zB-*f0*}u! zm&S1P&!6eWcSKA+LJ?aydG%m0P3If3n|(oF6$|RohUf2x>v&EKlOiwgT;!XEFyG5i zD{RAa#peJXKL>Yf*UK{nNlSC%uDA3wQ~^Dk*Q4U6>Vvke93&sFNtk$f|4_WA_GjIm zQzRL;Wi;SiwevKx=04d=vH+jkY{0&eAPci(XLW8tC%5KAgBu5wQo}DTj`JsV-sIu090Z zt(&di&IFQec>0elUGDZEagkD$Ubd=dUQnbq-cQVm2JTXQ(|gV*LdVS={JuNeNnXK_ z)54m4)o7OikuvPUziJT5I8@PZ`CKM%U0|;%ioPJfcj@$^^=~UbR0>tuElk|qj`lcG zvt5myCDz1zq?)%w;(Fs})+?N4L}V($Vt8)}WIQjFS<};)g8dTuVFd+$5ZcvkOgN-m zk0HG48j6h)(v^GHw_d#p(Ef#gCXJFO63R*~xO4Xu>KY}JCMO%Sq)b&TO2W4PEA<;{ zy%Gdr+YDWz^2AjIGCx1x$YAp>xE_S~9|t%3RPCaf8f}+S?4z^DN%-GgZa!&qwwC0mAutP?2It--MJcr7tJt@zb0t}$ zch^e9dO1S|F_!xx#w9Gsmp1qVuP*uA8pJhGe*BRB0 z2dIbE05`3l9sD8^WQKxW+#~62xteN2@jM5JuH$b%mXfKp!D~Mz_LJ z>9N3I_;|yqP&cbIOnj@y*I-0_iuBMK>%KMBbVHY-n>;ks*AUgQjJ5r zdo@{}uT=3BGko|v5;b()xh~x&ycFtF(va&nxc)e6v%quuLe4PUYGDNMloBoZ(F3f= ziQ~aT9Vm5fFz!WZVJnv1yvXMC^ulxz55kx9!t1ZJITe7ZHq4xB{M1qzJtdBO$tPv! zxi8kmgvU(!IK0@4(H?d50yU<%Ok&0el#|UxOogLxV}Nt!r_407H?33xY~-0NmuM!= za7o2`!x|yVmg^jM15{ckuyi$#T{JG(WnW+RI-V?T)z|mXcTL8NF9>u4l$YPl1*P)| z_})n!{(V98pJKZNtNMn1A~{xb+aLgnUaoFuN=(B8#cv_E*vH(9wa`Z`XXrWz*SqPY z$>~mSMM*vTnFRcVvHMrc7tq^%9c-Bp0k~5(!a;n1lI;eDCFr1KnxTc@)YiwSL^&HK z9rx=SZ}8|kP7~F_+v5TIar@&RW1(YcIo{rXF%6Ivv!2O|U zXaIrkKA~)~;isRZUUaJpE%R-y8q&%hkBJbKVda)5JGo#IsSxC>_I->^wTyGWULM6# zp20j%nyr_zSC4R{E`kxS6$@aG9i}?G8tY217;z<$rc$dg9L{6l{4qe7jMZ85RNc9q zH4CzJQC5}4#XH*;W{McBVSar}hSEAHmPL+4`Zg4hNF`3Vk6|Lg5%g&q;*bKk5=BWfpcT>8!J(fVY5^=2?>ig zE;*uHn0p;lGT+FSeF$Ory2^^Qmf8$#1%WEN=P6J{U+|uQA8_iKV=A%l^MXv_JXk+1 zlVS#>K>qkt%g5XFxXviNzZ`RE?4rQaCI(=jp#rKkjv2fIP5L4MM>%xM8PH}zvMBypm@xaLJ-4ANJ+z0+>WNXv_tjJgogKEW^O1c?MTKMcQ>-u>=~TG;&qovf zf^DW^Eh`wQUFFN`p$6d5(=EPpYj@nyecGj68v_B(7BvUTVYSDGPnzXi51r}E!1AG9 z*^dyzrwh8;!hWOrzc>#0W^tWu{uWM7m908UK5c6<+YKT1n)i>hs%%4*BTmn%BUx`Q z>;-C*>N6ODx(wRC>U`TI++e@3&;JJgOetH+`rZmerwiB$-&E;BGm1+K_7eFLb0}IxGr(p zuPp21a4kBMC|<@?bx%m6{(ZR){u_zdxcyJo#CQ*+xuI=*|+|Pq@byMWQtIHrI6#La3e}h{d;Hsan!Hp;=(=9FsvTO@~JNO~)8Z zyXRvSs5d)Y1<8B*ve>`LeY2_}mCExiPz$1`zIC7d=N^}(1{OfESo83y{KB|t`;FEm zz%*-$?pFUNpYSn<=8v-#z+`~G)m(K&({QM@T1S4zAE{3TBTZblMd!m2$!<#>*#P-t zt^7x#ASpxArY~19D=SRL%egG(1h%Y{X)$f*@LM()C9nE?S>j4UIF!Q|h&}T96 zx9x)1HxslXllyA& zM{z6WA7bqLI>B3^*IkmQF&G+ol@5oJhs5V?w;mnOy-uRlzZ7jfW?ml)2kX!=&wc^c zrlWK)C&kG|5p>*r4g*M}Ok5(Y%0Z!jSjkhE;JwPG39VOtgK^5{4?@5e8vHsk5n8I` zzA-J<%BAo&ec?@M9Vfo--@;@u^Byrd2-T-{EE!)FSZHk?A(GtK)|_Q*TFLJw@D{k4 zzw2QJoepffyjNp(`glxC#Xv4`=Wm$Vtmhqfd$w!5m69p9N_`*R;ubHz$7X-Nv%AJ2 z+RqU2`7rtK3^=Z?xlYo#qRw1>o zuV7d+!Sac(Pl!E!9BMLcxJeNj&~*9=E$KZYr}Zw9G>@ZTRSV0&;~{iGYH@i(P~HL` z9gvEN|M9Cwr`0v%Q{(OZc=rAkTF?}RH-Gz@Q5`BqqW7v{oA2iEJ!zQ5b{Z?ay>J8q zbjXEE+BdUgAHf(*o}zSzLi2SS?$2~jbk_yMQ5ZC>4(PG0JUK%KD)zG#&4mRTeFC;C zGq?=m5p*ft1mhIYboZO7%9-Zl)GtN#C%g+x#rc-wCXGWtv~*&A_E(L9ItVL8-0Q6F zfB<7jk{~~+b2I;zp?#O~)@@S0E$T{+%($JmDoqM5o??FXNALokt2wHctiGZhRa0zS zM|kXteelMbflHK^LygZ7I)qZ@sTfVVFCXtYa5?yyw3H_1n;nxO-G(K)(Lj)2x_J9U z_>;u_hjTlufDIWHd7W8let|P;V4%_NcPwSul}|d-bx``pHnYS&>b0@2&7@d9Jo3?rShylduh&X zT&gXkyH)rDt`C()2KE83_{Mw*`@b=wK=$Ae7m@h`Z2TSFmmxfDCj+UH8BZkT?BOXltNq5m7P|ZPX=Tn+A`rVCSk}ji ziAdOueAI-Bjgxv6gUct0`xfy?F!r}Q;vX~Kp$%id(l95vtv}UQWEjeR^xQUY=gs_9 z3+v-!>6dG?h|#R=o=3sx?*h&B^BLH%+L!W59b~(*^l|)$Qox10AgQi?QEXJjGZo8H%no z;{v)uIJQUZ7^#)(5XFZdKns9R6Js8XoA#7fEmv_F5luscB*UlW2e0rAD#YX=6H7I2 z2g2lsS<+_?z(OvIH>rG{bF$g7h+V!As1lZP;J+GB=|vIKkY)&|YPBs3q!6)`#Vnyc z2neLtvXWxoUw%O%-vN#MTUA{P_kO8>EK#=cMBibcA(E{Ozn4sTbrO_&HK@l8A6X7Y zO9_JH7o%pv;+a$KhNdVxsm@gwI$4OoG|Xsfp|SlU#YeS3mJ6fQw?%=0`v*3pdR0%; z0pD&PIbWMq$UHY<8ID_(ifSj*qGDl_xV_54T;<~D-61`-v?zj}uD&8bA9G)E&p$)+ zbrS>}!Vtf#wZcz0+Xv{%pWc0Q#Dgx+25tHy*2jzHEaz0Bz3hI?L|V&5Kz)(!zX|%! zXC1ZjHDVWk{_jT6cp?5;N{DD=4S->5qC~y&^lWt}qpk*C=%A>hqdHX`)~00j=Ce#m z%848jAfCKWVa$8+d7(`RI~qI`y04l|fD{T__Akia?wJF61F0gPh~-e3A}9Rki3JX0 zm{c@(NCN;+AC%1{3afzRql)UiB|MXmLk~9%q4t2&>ellLF|GvV7yg)9hP3Q+clh-R z>;0n7z~xLX?|i@licT99RTdLFczk8I%0}6Ql;Qsn<%KHDh4I}haNILfcr~(PMZ#ex zV5Jhf*;OuJH$?L`&jz);xP+6;?=;JV{?1*q20hd{vMtDX^4ZY|AJo7!m{3%}Oa-+%MSR?%c%uQNn_Qp(ur?ty$9Uw)Xi!!cV0*4I#c zh)gNx=%pogO#6u(h!|x~`MWZGSLF!949g zuOmk!GjOl17AUfC#bbr0OBwo*7+%eX_ODW%H974=6j(5#-`~U&Pa{Uj3%WW}pIMzO zi@DvUb7&HO=Jm6YN_X?DI2Zmu-6_(Rz-vkv~Z5&d_;dStVU zk$)~yE(VesQEDuHX_S;gsMaOB?#o$;V8f1-ufx8bdK9Rwpb*F3)WFf(V61Z>!ufUc zPU*O*0DVo+%jsI32h8^J@+Yyr+{uOUwur|;-|wc3Z>pT4^s+@0pGGhEi8G8~6_7n* zpQ(D8FpDviRxAwbk!Tst7yZK0A+qMk*!}Y{$W5Y+_YK)q$zpo%m>Py~Mwew^19H5; z5z`Ck0j{9KKJRyW<6sfd{J8#u`z=dD^L#$W6fSxhq9)L)x5lBT)2y9hM9Wgwio&-B zcytrEnX~uwCrece0)23+6L~rJ|I@nOCZ~(e;7-=pQ`o;#_NGQlpZ$Qp>BOF#k!^tY z{p{duJ+C`Gxz^`p?o;{whq2PL1b+xuxraUc&cSz zMt8sa(C=2YUmXSA$0-X!E$!oY$A7NjRCiJ)f$rE#%=W|R?{@{d-+|mK&C}X6AMjr2 zf~(<4ncHC@b~W4XF0m za5*HTbLqj3?bA5eT6=ruQ*ALGPEhc#)&7QWYBgs3Y`4*o{A;bvr>}ZE(3lxfLUCW| zX*YMa1g~cu-638+-sYpKcs-|QWh{nb&FkX-yT|@#7zMqNZnh2bPlGPOpH#y-yVQd^`E`TGrzZx3h>S~R z6-fItGd^Vl+}nb-_R&Vlk2A;_B}&F@0+WH2m(?7|SP5#`CFW;EU9=w)y*2BOE>qDD z+=woF@2fFhn_v>9yRVjkYMSa|K_2da{r&xZ9HFJ%PH0=z^Tm4Dr-L6tEHGd7J2!B4 z1uNOD+Z3>8hN{uqP5S1l6rw$|0@OCc8&aq)K31w5((k@Q;QUDaS?ATqU+%QxSnTuP zEn|*+pX~E>zA@{~H`vaWruZ8^)}pYyE-A#jTOG$)?sO^|ySzto)jDl0Y7(*Mq<;^* zufh12%>SFir=mcbA*Ncs_13@auy0h*cc(rvuj}}b+i70m!hhx;$ofd>@=}ZWR|(D1 zlGM#jC?t=kF?zw6d-#M3`rN2v*_2=nVoPISViQDWRMwv>BwXnjckSjBPC-Hv(vL7N z*q?{&SFIHncm#cT_Gt{8kz@ z{*NsmrI)*uI2KSrZB%}8E3?w!| zOlmUDh5U|8=|@*QJsl$QJ)o*CKGCQ8?w$6+3K{>h(PDYg-KOTm;mpndteB#Ja4cTj zg!!_iizs4?jT=eZ7k-B@3cBTzqMw-!e@T?^%NSSP$K8=;>NV);482iHQc}%jqNQ-; z0vVIu3<4)Q`}s7Ev4yS9zO`f1Ke*z5;j;f8QvTOL1L%>|38_jsTjdqI1WS?BDf1`a zIM@z1OM6uq@LrzeWM=mIy(u3fG-0l^Qc(i_J$+XHdHNe;V+PDvI!jj=8Sr^vf9~eA z37J#r{}R3a{a3e`-xUKZUr2U`>2sw~cQggova$Uugwl0GMszRLgv@1L{C5350>V#5 zwc5Ov-r2+5R%{Wq?(+_j2Rw{0SSBbQGKtok7;mfg|B>kenvQ-Kw&snyYMRZoYHjN~=2hzo_4T{n2#2s5%M;h_#(f z*Qc1U*#x+>Vq6W-a5SsC2QT?1dwZc6R6zE72vAOhBNz&&^tQv`?>4f$mr!323vm_ZhQD(I?Rt^Y+-Vf4cSI=P-!Uf*#)<*DtoAMoEcqu=9icB^#)_*9^?XZdU9QT(a_HSmlSRjgD*RSbv6f<6TYXA<{GnUf^LwnjD9Gw|DFReNfq=W&o|RmvvHnOC(z%6kS4FNt@6k z3Ku!j6!u0|WrN+$4Ea$>4Ra(y;+HkZE5}TffNi5TNEcP5?>kWYN_=zr%I-f@^Zyu` z{_UmhFnc`Fa?bDH)iltL`Qm~|T30lJvGagiGhEBrC%r!nJ&X&vK}1KY$`Ipa9$*%~+P=iN_`+WV^O5~{>xssmM|o{o(K5BNB6zz>_K+`!>Q1LH z`;dw`%z*-0sdJ1H(6G5KIKRr2a3yB1)XOgm?)`t-q=FQp2Vw$7DmHPOu+Z+^h|d07 zmOE|A4}URvq@2#|%^!&W$DXg)y-q>j{qtEh9k%cdN*k_5Z_4}U^B7pi$LqOG+EKM; z@zE7)_`Y~siOU3L&Mlq7JsE!}HUMX4lPWte&iwpL7gz!4XLT#|-%+}7^HR6MlYfm1 z-)OV%o|iP?xMXpqP+s1@LuYoi+{)JM5?Mmt|M)cX=-8&sh9i zvHX4{XV0#t1E0rz#G9el=^?8(@m@ zCXl{kIFID9CH{@6ozHc~$|dpD*2CT1S*dHTKl?5%iU@=?y)zj)m5nDb3O5E91vs(s(5xZqgbX48%8%PUly?o4>D{^~-U$t~Wz zn9ieSoKb!a4-%#a-Sdu(-K?*mZ=#B$v2a!4!`1b5rp-mCnxTbY!YS?}dJZetitaAc z`)K3TTrF^Nvz!7C&%1!-zI+Sk$v{#v|ezUrO_**j|1w4a#! zl|gaQHOB>K1Sk9MIrAW)*F+|)nLzSDN-3jEtO)~F^5Jhn5JqXu=2lNJ5oKRZwEp6neb74sN?z|+;wWt~$(69D=uGM@kd diff --git a/demos/streaming_asr_server/web/static/image/voice-dictation.svg b/demos/streaming_asr_server/web/static/image/voice-dictation.svg deleted file mode 100644 index d35971499..000000000 --- a/demos/streaming_asr_server/web/static/image/voice-dictation.svg +++ /dev/null @@ -1,94 +0,0 @@ - - - - 背景 - Created with Sketch. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \ No newline at end of file diff --git a/demos/streaming_asr_server/web/static/js/SoundRecognizer.js b/demos/streaming_asr_server/web/static/js/SoundRecognizer.js deleted file mode 100644 index 5ef3d2e89..000000000 --- a/demos/streaming_asr_server/web/static/js/SoundRecognizer.js +++ /dev/null @@ -1,133 +0,0 @@ -SoundRecognizer = { - rec: null, - wave: null, - SampleRate: 16000, - testBitRate: 16, - isCloseRecorder: false, - SendInterval: 300, - realTimeSendTryType: 'pcm', - realTimeSendTryEncBusy: 0, - realTimeSendTryTime: 0, - realTimeSendTryNumber: 0, - transferUploadNumberMax: 0, - realTimeSendTryChunk: null, - soundType: "pcm", - init: function (config) { - this.soundType = config.soundType || 'pcm'; - this.SampleRate = config.sampleRate || 16000; - this.recwaveElm = config.recwaveElm || ''; - this.TransferUpload = config.translerCallBack || this.TransferProcess; - this.initRecorder(); - }, - RealTimeSendTryReset: function (type) { - this.realTimeSendTryType = type; - this.realTimeSendTryTime = 0; - }, - RealTimeSendTry: function (rec, isClose) { - var that = this; - var t1 = Date.now(), endT = 0, recImpl = Recorder.prototype; - if (this.realTimeSendTryTime == 0) { - this.realTimeSendTryTime = t1; - this.realTimeSendTryEncBusy = 0; - this.realTimeSendTryNumber = 0; - this.transferUploadNumberMax = 0; - this.realTimeSendTryChunk = null; - } - if (!isClose && t1 - this.realTimeSendTryTime < this.SendInterval) { - return;//控制缓冲达到指定间隔才进行传输 - } - this.realTimeSendTryTime = t1; - var number = ++this.realTimeSendTryNumber; - - //借用SampleData函数进行数据的连续处理，采样率转换是顺带的 - var chunk = Recorder.SampleData(rec.buffers, rec.srcSampleRate, this.SampleRate, this.realTimeSendTryChunk, { frameType: isClose ? "" : this.realTimeSendTryType }); - - //清理已处理完的缓冲数据，释放内存以支持长时间录音，最后完成录音时不能调用stop，因为数据已经被清掉了 - for (var i = this.realTimeSendTryChunk ? this.realTimeSendTryChunk.index : 0; i < chunk.index; i++) { - rec.buffers[i] = null; - } - this.realTimeSendTryChunk = chunk; - - //没有新数据，或结束时的数据量太小，不能进行mock转码 - if (chunk.data.length == 0 || isClose && chunk.data.length < 2000) { - this.TransferUpload(number, null, 0, null, isClose); - return; - } - //实时编码队列阻塞处理 - if (!isClose) { - if (this.realTimeSendTryEncBusy >= 2) { - console.log("编码队列阻塞，已丢弃一帧", 1); - return; - } - } - this.realTimeSendTryEncBusy++; - - //通过mock方法实时转码成mp3、wav - var encStartTime = Date.now(); - var recMock = Recorder({ - type: this.realTimeSendTryType - , sampleRate: this.SampleRate //采样率 - , bitRate: this.testBitRate //比特率 - }); - recMock.mock(chunk.data, chunk.sampleRate); - recMock.stop(function (blob, duration) { - that.realTimeSendTryEncBusy && (that.realTimeSendTryEncBusy--); - blob.encTime = Date.now() - encStartTime; - - //转码好就推入传输 - that.TransferUpload(number, blob, duration, recMock, isClose); - }, function (msg) { - that.realTimeSendTryEncBusy && (that.realTimeSendTryEncBusy--); - //转码错误？没想到什么时候会产生错误！ - console.log("不应该出现的错误:" + msg, 1); - }); - }, - recordClose: function () { - try { - this.rec.close(function () { - this.isCloseRecorder = true; - }); - this.RealTimeSendTry(this.rec, true);//最后一次发送 - } catch (ex) { - // recordClose(); - } - }, - recordEnd: function () { - try { - this.rec.stop(function (blob, time) { - this.recordClose(); - }, function (s) { - this.recordClose(); - }); - } catch (ex) { - } - }, - initRecorder: function () { - var that = this; - var rec = Recorder({ - type: that.soundType - , bitRate: that.testBitRate - , sampleRate: that.SampleRate - , onProcess: function (buffers, level, time, sampleRate) { - that.wave.input(buffers[buffers.length - 1], level, sampleRate); - that.RealTimeSendTry(rec, false);//推入实时处理，因为是unknown格式，这里简化函数调用，没有用到buffers和bufferSampleRate，因为这些数据和rec.buffers是完全相同的。 - } - }); - - rec.open(function () { - that.wave = Recorder.FrequencyHistogramView({ - elem: that.recwaveElm, lineCount: 90 - , position: 0 - , minHeight: 1 - , stripeEnable: false - }); - rec.start(); - that.isCloseRecorder = false; - that.RealTimeSendTryReset(that.soundType);//重置 - }); - this.rec = rec; - }, - TransferProcess: function (number, blobOrNull, duration, blobRec, isClose) { - - } -} \ No newline at end of file diff --git a/demos/streaming_asr_server/web/static/js/jquery-3.2.1.min.js b/demos/streaming_asr_server/web/static/js/jquery-3.2.1.min.js deleted file mode 100644 index 644d35e27..000000000 --- a/demos/streaming_asr_server/web/static/js/jquery-3.2.1.min.js +++ /dev/null @@ -1,4 +0,0 @@ -/*! jQuery v3.2.1 | (c) JS Foundation and other contributors | jquery.org/license */ -!function(a,b){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=a.document?b(a,!0):function(a){if(!a.document)throw new Error("jQuery requires a window with a document");return b(a)}:b(a)}("undefined"!=typeof window?window:this,function(a,b){"use strict";var c=[],d=a.document,e=Object.getPrototypeOf,f=c.slice,g=c.concat,h=c.push,i=c.indexOf,j={},k=j.toString,l=j.hasOwnProperty,m=l.toString,n=m.call(Object),o={};function p(a,b){b=b||d;var c=b.createElement("script");c.text=a,b.head.appendChild(c).parentNode.removeChild(c)}var q="3.2.1",r=function(a,b){return new r.fn.init(a,b)},s=/^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g,t=/^-ms-/,u=/-([a-z])/g,v=function(a,b){return b.toUpperCase()};r.fn=r.prototype={jquery:q,constructor:r,length:0,toArray:function(){return f.call(this)},get:function(a){return null==a?f.call(this):a<0?this[a+this.length]:this[a]},pushStack:function(a){var b=r.merge(this.constructor(),a);return b.prevObject=this,b},each:function(a){return r.each(this,a)},map:function(a){return this.pushStack(r.map(this,function(b,c){return a.call(b,c,b)}))},slice:function(){return this.pushStack(f.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},eq:function(a){var b=this.length,c=+a+(a<0?b:0);return this.pushStack(c>=0&&c0&&b-1 in a)}var x=function(a){var b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u="sizzle"+1*new Date,v=a.document,w=0,x=0,y=ha(),z=ha(),A=ha(),B=function(a,b){return a===b&&(l=!0),0},C={}.hasOwnProperty,D=[],E=D.pop,F=D.push,G=D.push,H=D.slice,I=function(a,b){for(var c=0,d=a.length;c+~]|"+K+")"+K+"*"),S=new RegExp("="+K+"*([^\\]'\"]*?)"+K+"*\\]","g"),T=new RegExp(N),U=new RegExp("^"+L+"$"),V={ID:new RegExp("^#("+L+")"),CLASS:new RegExp("^\\.("+L+")"),TAG:new RegExp("^("+L+"|[*])"),ATTR:new RegExp("^"+M),PSEUDO:new RegExp("^"+N),CHILD:new RegExp("^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\("+K+"*(even|odd|(([+-]|)(\\d*)n|)"+K+"*(?:([+-]|)"+K+"*(\\d+)|))"+K+"*\\)|)","i"),bool:new RegExp("^(?:"+J+")$","i"),needsContext:new RegExp("^"+K+"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\("+K+"*((?:-\\d)?\\d*)"+K+"*\\)|)(?=[^-]|$)","i")},W=/^(?:input|select|textarea|button)$/i,X=/^h\d$/i,Y=/^[^{]+\{\s*\[native \w/,Z=/^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,$=/[+~]/,_=new RegExp("\\\\([\\da-f]{1,6}"+K+"?|("+K+")|.)","ig"),aa=function(a,b,c){var d="0x"+b-65536;return d!==d||c?b:d<0?String.fromCharCode(d+65536):String.fromCharCode(d>>10|55296,1023&d|56320)},ba=/([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,ca=function(a,b){return b?"\0"===a?"\ufffd":a.slice(0,-1)+"\\"+a.charCodeAt(a.length-1).toString(16)+" ":"\\"+a},da=function(){m()},ea=ta(function(a){return a.disabled===!0&&("form"in a||"label"in a)},{dir:"parentNode",next:"legend"});try{G.apply(D=H.call(v.childNodes),v.childNodes),D[v.childNodes.length].nodeType}catch(fa){G={apply:D.length?function(a,b){F.apply(a,H.call(b))}:function(a,b){var c=a.length,d=0;while(a[c++]=b[d++]);a.length=c-1}}}function ga(a,b,d,e){var f,h,j,k,l,o,r,s=b&&b.ownerDocument,w=b?b.nodeType:9;if(d=d||[],"string"!=typeof a||!a||1!==w&&9!==w&&11!==w)return d;if(!e&&((b?b.ownerDocument||b:v)!==n&&m(b),b=b||n,p)){if(11!==w&&(l=Z.exec(a)))if(f=l[1]){if(9===w){if(!(j=b.getElementById(f)))return d;if(j.id===f)return d.push(j),d}else if(s&&(j=s.getElementById(f))&&t(b,j)&&j.id===f)return d.push(j),d}else{if(l[2])return G.apply(d,b.getElementsByTagName(a)),d;if((f=l[3])&&c.getElementsByClassName&&b.getElementsByClassName)return G.apply(d,b.getElementsByClassName(f)),d}if(c.qsa&&!A[a+" "]&&(!q||!q.test(a))){if(1!==w)s=b,r=a;else if("object"!==b.nodeName.toLowerCase()){(k=b.getAttribute("id"))?k=k.replace(ba,ca):b.setAttribute("id",k=u),o=g(a),h=o.length;while(h--)o[h]="#"+k+" "+sa(o[h]);r=o.join(","),s=$.test(a)&&qa(b.parentNode)||b}if(r)try{return G.apply(d,s.querySelectorAll(r)),d}catch(x){}finally{k===u&&b.removeAttribute("id")}}}return i(a.replace(P,"$1"),b,d,e)}function ha(){var a=[];function b(c,e){return a.push(c+" ")>d.cacheLength&&delete b[a.shift()],b[c+" "]=e}return b}function ia(a){return a[u]=!0,a}function ja(a){var b=n.createElement("fieldset");try{return!!a(b)}catch(c){return!1}finally{b.parentNode&&b.parentNode.removeChild(b),b=null}}function ka(a,b){var c=a.split("|"),e=c.length;while(e--)d.attrHandle[c[e]]=b}function la(a,b){var c=b&&a,d=c&&1===a.nodeType&&1===b.nodeType&&a.sourceIndex-b.sourceIndex;if(d)return d;if(c)while(c=c.nextSibling)if(c===b)return-1;return a?1:-1}function ma(a){return function(b){var c=b.nodeName.toLowerCase();return"input"===c&&b.type===a}}function na(a){return function(b){var c=b.nodeName.toLowerCase();return("input"===c||"button"===c)&&b.type===a}}function oa(a){return function(b){return"form"in b?b.parentNode&&b.disabled===!1?"label"in b?"label"in b.parentNode?b.parentNode.disabled===a:b.disabled===a:b.isDisabled===a||b.isDisabled!==!a&&ea(b)===a:b.disabled===a:"label"in b&&b.disabled===a}}function pa(a){return ia(function(b){return b=+b,ia(function(c,d){var e,f=a([],c.length,b),g=f.length;while(g--)c[e=f[g]]&&(c[e]=!(d[e]=c[e]))})})}function qa(a){return a&&"undefined"!=typeof a.getElementsByTagName&&a}c=ga.support={},f=ga.isXML=function(a){var b=a&&(a.ownerDocument||a).documentElement;return!!b&&"HTML"!==b.nodeName},m=ga.setDocument=function(a){var b,e,g=a?a.ownerDocument||a:v;return g!==n&&9===g.nodeType&&g.documentElement?(n=g,o=n.documentElement,p=!f(n),v!==n&&(e=n.defaultView)&&e.top!==e&&(e.addEventListener?e.addEventListener("unload",da,!1):e.attachEvent&&e.attachEvent("onunload",da)),c.attributes=ja(function(a){return a.className="i",!a.getAttribute("className")}),c.getElementsByTagName=ja(function(a){return a.appendChild(n.createComment("")),!a.getElementsByTagName("*").length}),c.getElementsByClassName=Y.test(n.getElementsByClassName),c.getById=ja(function(a){return o.appendChild(a).id=u,!n.getElementsByName||!n.getElementsByName(u).length}),c.getById?(d.filter.ID=function(a){var b=a.replace(_,aa);return function(a){return a.getAttribute("id")===b}},d.find.ID=function(a,b){if("undefined"!=typeof b.getElementById&&p){var c=b.getElementById(a);return c?[c]:[]}}):(d.filter.ID=function(a){var b=a.replace(_,aa);return function(a){var c="undefined"!=typeof a.getAttributeNode&&a.getAttributeNode("id");return c&&c.value===b}},d.find.ID=function(a,b){if("undefined"!=typeof b.getElementById&&p){var c,d,e,f=b.getElementById(a);if(f){if(c=f.getAttributeNode("id"),c&&c.value===a)return[f];e=b.getElementsByName(a),d=0;while(f=e[d++])if(c=f.getAttributeNode("id"),c&&c.value===a)return[f]}return[]}}),d.find.TAG=c.getElementsByTagName?function(a,b){return"undefined"!=typeof b.getElementsByTagName?b.getElementsByTagName(a):c.qsa?b.querySelectorAll(a):void 0}:function(a,b){var c,d=[],e=0,f=b.getElementsByTagName(a);if("*"===a){while(c=f[e++])1===c.nodeType&&d.push(c);return d}return f},d.find.CLASS=c.getElementsByClassName&&function(a,b){if("undefined"!=typeof b.getElementsByClassName&&p)return b.getElementsByClassName(a)},r=[],q=[],(c.qsa=Y.test(n.querySelectorAll))&&(ja(function(a){o.appendChild(a).innerHTML="",a.querySelectorAll("[msallowcapture^='']").length&&q.push("[*^$]="+K+"*(?:''|\"\")"),a.querySelectorAll("[selected]").length||q.push("\\["+K+"*(?:value|"+J+")"),a.querySelectorAll("[id~="+u+"-]").length||q.push("~="),a.querySelectorAll(":checked").length||q.push(":checked"),a.querySelectorAll("a#"+u+"+*").length||q.push(".#.+[+~]")}),ja(function(a){a.innerHTML="";var b=n.createElement("input");b.setAttribute("type","hidden"),a.appendChild(b).setAttribute("name","D"),a.querySelectorAll("[name=d]").length&&q.push("name"+K+"*[*^$|!~]?="),2!==a.querySelectorAll(":enabled").length&&q.push(":enabled",":disabled"),o.appendChild(a).disabled=!0,2!==a.querySelectorAll(":disabled").length&&q.push(":enabled",":disabled"),a.querySelectorAll("*,:x"),q.push(",.*:")})),(c.matchesSelector=Y.test(s=o.matches||o.webkitMatchesSelector||o.mozMatchesSelector||o.oMatchesSelector||o.msMatchesSelector))&&ja(function(a){c.disconnectedMatch=s.call(a,"*"),s.call(a,"[s!='']:x"),r.push("!=",N)}),q=q.length&&new RegExp(q.join("|")),r=r.length&&new RegExp(r.join("|")),b=Y.test(o.compareDocumentPosition),t=b||Y.test(o.contains)?function(a,b){var c=9===a.nodeType?a.documentElement:a,d=b&&b.parentNode;return a===d||!(!d||1!==d.nodeType||!(c.contains?c.contains(d):a.compareDocumentPosition&&16&a.compareDocumentPosition(d)))}:function(a,b){if(b)while(b=b.parentNode)if(b===a)return!0;return!1},B=b?function(a,b){if(a===b)return l=!0,0;var d=!a.compareDocumentPosition-!b.compareDocumentPosition;return d?d:(d=(a.ownerDocument||a)===(b.ownerDocument||b)?a.compareDocumentPosition(b):1,1&d||!c.sortDetached&&b.compareDocumentPosition(a)===d?a===n||a.ownerDocument===v&&t(v,a)?-1:b===n||b.ownerDocument===v&&t(v,b)?1:k?I(k,a)-I(k,b):0:4&d?-1:1)}:function(a,b){if(a===b)return l=!0,0;var c,d=0,e=a.parentNode,f=b.parentNode,g=[a],h=[b];if(!e||!f)return a===n?-1:b===n?1:e?-1:f?1:k?I(k,a)-I(k,b):0;if(e===f)return la(a,b);c=a;while(c=c.parentNode)g.unshift(c);c=b;while(c=c.parentNode)h.unshift(c);while(g[d]===h[d])d++;return d?la(g[d],h[d]):g[d]===v?-1:h[d]===v?1:0},n):n},ga.matches=function(a,b){return ga(a,null,null,b)},ga.matchesSelector=function(a,b){if((a.ownerDocument||a)!==n&&m(a),b=b.replace(S,"='$1']"),c.matchesSelector&&p&&!A[b+" "]&&(!r||!r.test(b))&&(!q||!q.test(b)))try{var d=s.call(a,b);if(d||c.disconnectedMatch||a.document&&11!==a.document.nodeType)return d}catch(e){}return ga(b,n,null,[a]).length>0},ga.contains=function(a,b){return(a.ownerDocument||a)!==n&&m(a),t(a,b)},ga.attr=function(a,b){(a.ownerDocument||a)!==n&&m(a);var e=d.attrHandle[b.toLowerCase()],f=e&&C.call(d.attrHandle,b.toLowerCase())?e(a,b,!p):void 0;return void 0!==f?f:c.attributes||!p?a.getAttribute(b):(f=a.getAttributeNode(b))&&f.specified?f.value:null},ga.escape=function(a){return(a+"").replace(ba,ca)},ga.error=function(a){throw new Error("Syntax error, unrecognized expression: "+a)},ga.uniqueSort=function(a){var b,d=[],e=0,f=0;if(l=!c.detectDuplicates,k=!c.sortStable&&a.slice(0),a.sort(B),l){while(b=a[f++])b===a[f]&&(e=d.push(f));while(e--)a.splice(d[e],1)}return k=null,a},e=ga.getText=function(a){var b,c="",d=0,f=a.nodeType;if(f){if(1===f||9===f||11===f){if("string"==typeof a.textContent)return a.textContent;for(a=a.firstChild;a;a=a.nextSibling)c+=e(a)}else if(3===f||4===f)return a.nodeValue}else while(b=a[d++])c+=e(b);return c},d=ga.selectors={cacheLength:50,createPseudo:ia,match:V,attrHandle:{},find:{},relative:{">":{dir:"parentNode",first:!0}," ":{dir:"parentNode"},"+":{dir:"previousSibling",first:!0},"~":{dir:"previousSibling"}},preFilter:{ATTR:function(a){return a[1]=a[1].replace(_,aa),a[3]=(a[3]||a[4]||a[5]||"").replace(_,aa),"~="===a[2]&&(a[3]=" "+a[3]+" "),a.slice(0,4)},CHILD:function(a){return a[1]=a[1].toLowerCase(),"nth"===a[1].slice(0,3)?(a[3]||ga.error(a[0]),a[4]=+(a[4]?a[5]+(a[6]||1):2*("even"===a[3]||"odd"===a[3])),a[5]=+(a[7]+a[8]||"odd"===a[3])):a[3]&&ga.error(a[0]),a},PSEUDO:function(a){var b,c=!a[6]&&a[2];return V.CHILD.test(a[0])?null:(a[3]?a[2]=a[4]||a[5]||"":c&&T.test(c)&&(b=g(c,!0))&&(b=c.indexOf(")",c.length-b)-c.length)&&(a[0]=a[0].slice(0,b),a[2]=c.slice(0,b)),a.slice(0,3))}},filter:{TAG:function(a){var b=a.replace(_,aa).toLowerCase();return"*"===a?function(){return!0}:function(a){return a.nodeName&&a.nodeName.toLowerCase()===b}},CLASS:function(a){var b=y[a+" "];return b||(b=new RegExp("(^|"+K+")"+a+"("+K+"|$)"))&&y(a,function(a){return b.test("string"==typeof a.className&&a.className||"undefined"!=typeof a.getAttribute&&a.getAttribute("class")||"")})},ATTR:function(a,b,c){return function(d){var e=ga.attr(d,a);return null==e?"!="===b:!b||(e+="","="===b?e===c:"!="===b?e!==c:"^="===b?c&&0===e.indexOf(c):"*="===b?c&&e.indexOf(c)>-1:"$="===b?c&&e.slice(-c.length)===c:"~="===b?(" "+e.replace(O," ")+" ").indexOf(c)>-1:"|="===b&&(e===c||e.slice(0,c.length+1)===c+"-"))}},CHILD:function(a,b,c,d,e){var f="nth"!==a.slice(0,3),g="last"!==a.slice(-4),h="of-type"===b;return 1===d&&0===e?function(a){return!!a.parentNode}:function(b,c,i){var j,k,l,m,n,o,p=f!==g?"nextSibling":"previousSibling",q=b.parentNode,r=h&&b.nodeName.toLowerCase(),s=!i&&!h,t=!1;if(q){if(f){while(p){m=b;while(m=m[p])if(h?m.nodeName.toLowerCase()===r:1===m.nodeType)return!1;o=p="only"===a&&!o&&"nextSibling"}return!0}if(o=[g?q.firstChild:q.lastChild],g&&s){m=q,l=m[u]||(m[u]={}),k=l[m.uniqueID]||(l[m.uniqueID]={}),j=k[a]||[],n=j[0]===w&&j[1],t=n&&j[2],m=n&&q.childNodes[n];while(m=++n&&m&&m[p]||(t=n=0)||o.pop())if(1===m.nodeType&&++t&&m===b){k[a]=[w,n,t];break}}else if(s&&(m=b,l=m[u]||(m[u]={}),k=l[m.uniqueID]||(l[m.uniqueID]={}),j=k[a]||[],n=j[0]===w&&j[1],t=n),t===!1)while(m=++n&&m&&m[p]||(t=n=0)||o.pop())if((h?m.nodeName.toLowerCase()===r:1===m.nodeType)&&++t&&(s&&(l=m[u]||(m[u]={}),k=l[m.uniqueID]||(l[m.uniqueID]={}),k[a]=[w,t]),m===b))break;return t-=e,t===d||t%d===0&&t/d>=0}}},PSEUDO:function(a,b){var c,e=d.pseudos[a]||d.setFilters[a.toLowerCase()]||ga.error("unsupported pseudo: "+a);return e[u]?e(b):e.length>1?(c=[a,a,"",b],d.setFilters.hasOwnProperty(a.toLowerCase())?ia(function(a,c){var d,f=e(a,b),g=f.length;while(g--)d=I(a,f[g]),a[d]=!(c[d]=f[g])}):function(a){return e(a,0,c)}):e}},pseudos:{not:ia(function(a){var b=[],c=[],d=h(a.replace(P,"$1"));return d[u]?ia(function(a,b,c,e){var f,g=d(a,null,e,[]),h=a.length;while(h--)(f=g[h])&&(a[h]=!(b[h]=f))}):function(a,e,f){return b[0]=a,d(b,null,f,c),b[0]=null,!c.pop()}}),has:ia(function(a){return function(b){return ga(a,b).length>0}}),contains:ia(function(a){return a=a.replace(_,aa),function(b){return(b.textContent||b.innerText||e(b)).indexOf(a)>-1}}),lang:ia(function(a){return U.test(a||"")||ga.error("unsupported lang: "+a),a=a.replace(_,aa).toLowerCase(),function(b){var c;do if(c=p?b.lang:b.getAttribute("xml:lang")||b.getAttribute("lang"))return c=c.toLowerCase(),c===a||0===c.indexOf(a+"-");while((b=b.parentNode)&&1===b.nodeType);return!1}}),target:function(b){var c=a.location&&a.location.hash;return c&&c.slice(1)===b.id},root:function(a){return a===o},focus:function(a){return a===n.activeElement&&(!n.hasFocus||n.hasFocus())&&!!(a.type||a.href||~a.tabIndex)},enabled:oa(!1),disabled:oa(!0),checked:function(a){var b=a.nodeName.toLowerCase();return"input"===b&&!!a.checked||"option"===b&&!!a.selected},selected:function(a){return a.parentNode&&a.parentNode.selectedIndex,a.selected===!0},empty:function(a){for(a=a.firstChild;a;a=a.nextSibling)if(a.nodeType<6)return!1;return!0},parent:function(a){return!d.pseudos.empty(a)},header:function(a){return X.test(a.nodeName)},input:function(a){return W.test(a.nodeName)},button:function(a){var b=a.nodeName.toLowerCase();return"input"===b&&"button"===a.type||"button"===b},text:function(a){var b;return"input"===a.nodeName.toLowerCase()&&"text"===a.type&&(null==(b=a.getAttribute("type"))||"text"===b.toLowerCase())},first:pa(function(){return[0]}),last:pa(function(a,b){return[b-1]}),eq:pa(function(a,b,c){return[c<0?c+b:c]}),even:pa(function(a,b){for(var c=0;c=0;)a.push(d);return a}),gt:pa(function(a,b,c){for(var d=c<0?c+b:c;++d1?function(b,c,d){var e=a.length;while(e--)if(!a[e](b,c,d))return!1;return!0}:a[0]}function va(a,b,c){for(var d=0,e=b.length;d-1&&(f[j]=!(g[j]=l))}}else r=wa(r===g?r.splice(o,r.length):r),e?e(null,g,r,i):G.apply(g,r)})}function ya(a){for(var b,c,e,f=a.length,g=d.relative[a[0].type],h=g||d.relative[" "],i=g?1:0,k=ta(function(a){return a===b},h,!0),l=ta(function(a){return I(b,a)>-1},h,!0),m=[function(a,c,d){var e=!g&&(d||c!==j)||((b=c).nodeType?k(a,c,d):l(a,c,d));return b=null,e}];i1&&ua(m),i>1&&sa(a.slice(0,i-1).concat({value:" "===a[i-2].type?"*":""})).replace(P,"$1"),c,i0,e=a.length>0,f=function(f,g,h,i,k){var l,o,q,r=0,s="0",t=f&&[],u=[],v=j,x=f||e&&d.find.TAG("*",k),y=w+=null==v?1:Math.random()||.1,z=x.length;for(k&&(j=g===n||g||k);s!==z&&null!=(l=x[s]);s++){if(e&&l){o=0,g||l.ownerDocument===n||(m(l),h=!p);while(q=a[o++])if(q(l,g||n,h)){i.push(l);break}k&&(w=y)}c&&((l=!q&&l)&&r--,f&&t.push(l))}if(r+=s,c&&s!==r){o=0;while(q=b[o++])q(t,u,g,h);if(f){if(r>0)while(s--)t[s]||u[s]||(u[s]=E.call(i));u=wa(u)}G.apply(i,u),k&&!f&&u.length>0&&r+b.length>1&&ga.uniqueSort(i)}return k&&(w=y,j=v),t};return c?ia(f):f}return h=ga.compile=function(a,b){var c,d=[],e=[],f=A[a+" "];if(!f){b||(b=g(a)),c=b.length;while(c--)f=ya(b[c]),f[u]?d.push(f):e.push(f);f=A(a,za(e,d)),f.selector=a}return f},i=ga.select=function(a,b,c,e){var f,i,j,k,l,m="function"==typeof a&&a,n=!e&&g(a=m.selector||a);if(c=c||[],1===n.length){if(i=n[0]=n[0].slice(0),i.length>2&&"ID"===(j=i[0]).type&&9===b.nodeType&&p&&d.relative[i[1].type]){if(b=(d.find.ID(j.matches[0].replace(_,aa),b)||[])[0],!b)return c;m&&(b=b.parentNode),a=a.slice(i.shift().value.length)}f=V.needsContext.test(a)?0:i.length;while(f--){if(j=i[f],d.relative[k=j.type])break;if((l=d.find[k])&&(e=l(j.matches[0].replace(_,aa),$.test(i[0].type)&&qa(b.parentNode)||b))){if(i.splice(f,1),a=e.length&&sa(i),!a)return G.apply(c,e),c;break}}}return(m||h(a,n))(e,b,!p,c,!b||$.test(a)&&qa(b.parentNode)||b),c},c.sortStable=u.split("").sort(B).join("")===u,c.detectDuplicates=!!l,m(),c.sortDetached=ja(function(a){return 1&a.compareDocumentPosition(n.createElement("fieldset"))}),ja(function(a){return a.innerHTML="","#"===a.firstChild.getAttribute("href")})||ka("type|href|height|width",function(a,b,c){if(!c)return a.getAttribute(b,"type"===b.toLowerCase()?1:2)}),c.attributes&&ja(function(a){return a.innerHTML="",a.firstChild.setAttribute("value",""),""===a.firstChild.getAttribute("value")})||ka("value",function(a,b,c){if(!c&&"input"===a.nodeName.toLowerCase())return a.defaultValue}),ja(function(a){return null==a.getAttribute("disabled")})||ka(J,function(a,b,c){var d;if(!c)return a[b]===!0?b.toLowerCase():(d=a.getAttributeNode(b))&&d.specified?d.value:null}),ga}(a);r.find=x,r.expr=x.selectors,r.expr[":"]=r.expr.pseudos,r.uniqueSort=r.unique=x.uniqueSort,r.text=x.getText,r.isXMLDoc=x.isXML,r.contains=x.contains,r.escapeSelector=x.escape;var y=function(a,b,c){var d=[],e=void 0!==c;while((a=a[b])&&9!==a.nodeType)if(1===a.nodeType){if(e&&r(a).is(c))break;d.push(a)}return d},z=function(a,b){for(var c=[];a;a=a.nextSibling)1===a.nodeType&&a!==b&&c.push(a);return c},A=r.expr.match.needsContext;function B(a,b){return a.nodeName&&a.nodeName.toLowerCase()===b.toLowerCase()}var C=/^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i,D=/^.[^:#\[\.,]*$/;function E(a,b,c){return r.isFunction(b)?r.grep(a,function(a,d){return!!b.call(a,d,a)!==c}):b.nodeType?r.grep(a,function(a){return a===b!==c}):"string"!=typeof b?r.grep(a,function(a){return i.call(b,a)>-1!==c}):D.test(b)?r.filter(b,a,c):(b=r.filter(b,a),r.grep(a,function(a){return i.call(b,a)>-1!==c&&1===a.nodeType}))}r.filter=function(a,b,c){var d=b[0];return c&&(a=":not("+a+")"),1===b.length&&1===d.nodeType?r.find.matchesSelector(d,a)?[d]:[]:r.find.matches(a,r.grep(b,function(a){return 1===a.nodeType}))},r.fn.extend({find:function(a){var b,c,d=this.length,e=this;if("string"!=typeof a)return this.pushStack(r(a).filter(function(){for(b=0;b1?r.uniqueSort(c):c},filter:function(a){return this.pushStack(E(this,a||[],!1))},not:function(a){return this.pushStack(E(this,a||[],!0))},is:function(a){return!!E(this,"string"==typeof a&&A.test(a)?r(a):a||[],!1).length}});var F,G=/^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/,H=r.fn.init=function(a,b,c){var e,f;if(!a)return this;if(c=c||F,"string"==typeof a){if(e="<"===a[0]&&">"===a[a.length-1]&&a.length>=3?[null,a,null]:G.exec(a),!e||!e[1]&&b)return!b||b.jquery?(b||c).find(a):this.constructor(b).find(a);if(e[1]){if(b=b instanceof r?b[0]:b,r.merge(this,r.parseHTML(e[1],b&&b.nodeType?b.ownerDocument||b:d,!0)),C.test(e[1])&&r.isPlainObject(b))for(e in b)r.isFunction(this[e])?this[e](b[e]):this.attr(e,b[e]);return this}return f=d.getElementById(e[2]),f&&(this[0]=f,this.length=1),this}return a.nodeType?(this[0]=a,this.length=1,this):r.isFunction(a)?void 0!==c.ready?c.ready(a):a(r):r.makeArray(a,this)};H.prototype=r.fn,F=r(d);var I=/^(?:parents|prev(?:Until|All))/,J={children:!0,contents:!0,next:!0,prev:!0};r.fn.extend({has:function(a){var b=r(a,this),c=b.length;return this.filter(function(){for(var a=0;a-1:1===c.nodeType&&r.find.matchesSelector(c,a))){f.push(c);break}return this.pushStack(f.length>1?r.uniqueSort(f):f)},index:function(a){return a?"string"==typeof a?i.call(r(a),this[0]):i.call(this,a.jquery?a[0]:a):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(a,b){return this.pushStack(r.uniqueSort(r.merge(this.get(),r(a,b))))},addBack:function(a){return this.add(null==a?this.prevObject:this.prevObject.filter(a))}});function K(a,b){while((a=a[b])&&1!==a.nodeType);return a}r.each({parent:function(a){var b=a.parentNode;return b&&11!==b.nodeType?b:null},parents:function(a){return y(a,"parentNode")},parentsUntil:function(a,b,c){return y(a,"parentNode",c)},next:function(a){return K(a,"nextSibling")},prev:function(a){return K(a,"previousSibling")},nextAll:function(a){return y(a,"nextSibling")},prevAll:function(a){return y(a,"previousSibling")},nextUntil:function(a,b,c){return y(a,"nextSibling",c)},prevUntil:function(a,b,c){return y(a,"previousSibling",c)},siblings:function(a){return z((a.parentNode||{}).firstChild,a)},children:function(a){return z(a.firstChild)},contents:function(a){return B(a,"iframe")?a.contentDocument:(B(a,"template")&&(a=a.content||a),r.merge([],a.childNodes))}},function(a,b){r.fn[a]=function(c,d){var e=r.map(this,b,c);return"Until"!==a.slice(-5)&&(d=c),d&&"string"==typeof d&&(e=r.filter(d,e)),this.length>1&&(J[a]||r.uniqueSort(e),I.test(a)&&e.reverse()),this.pushStack(e)}});var L=/[^\x20\t\r\n\f]+/g;function M(a){var b={};return r.each(a.match(L)||[],function(a,c){b[c]=!0}),b}r.Callbacks=function(a){a="string"==typeof a?M(a):r.extend({},a);var b,c,d,e,f=[],g=[],h=-1,i=function(){for(e=e||a.once,d=b=!0;g.length;h=-1){c=g.shift();while(++h-1)f.splice(c,1),c<=h&&h--}),this},has:function(a){return a?r.inArray(a,f)>-1:f.length>0},empty:function(){return f&&(f=[]),this},disable:function(){return e=g=[],f=c="",this},disabled:function(){return!f},lock:function(){return e=g=[],c||b||(f=c=""),this},locked:function(){return!!e},fireWith:function(a,c){return e||(c=c||[],c=[a,c.slice?c.slice():c],g.push(c),b||i()),this},fire:function(){return j.fireWith(this,arguments),this},fired:function(){return!!d}};return j};function N(a){return a}function O(a){throw a}function P(a,b,c,d){var e;try{a&&r.isFunction(e=a.promise)?e.call(a).done(b).fail(c):a&&r.isFunction(e=a.then)?e.call(a,b,c):b.apply(void 0,[a].slice(d))}catch(a){c.apply(void 0,[a])}}r.extend({Deferred:function(b){var c=[["notify","progress",r.Callbacks("memory"),r.Callbacks("memory"),2],["resolve","done",r.Callbacks("once memory"),r.Callbacks("once memory"),0,"resolved"],["reject","fail",r.Callbacks("once memory"),r.Callbacks("once memory"),1,"rejected"]],d="pending",e={state:function(){return d},always:function(){return f.done(arguments).fail(arguments),this},"catch":function(a){return e.then(null,a)},pipe:function(){var a=arguments;return r.Deferred(function(b){r.each(c,function(c,d){var e=r.isFunction(a[d[4]])&&a[d[4]];f[d[1]](function(){var a=e&&e.apply(this,arguments);a&&r.isFunction(a.promise)?a.promise().progress(b.notify).done(b.resolve).fail(b.reject):b[d[0]+"With"](this,e?[a]:arguments)})}),a=null}).promise()},then:function(b,d,e){var f=0;function g(b,c,d,e){return function(){var h=this,i=arguments,j=function(){var a,j;if(!(b=f&&(d!==O&&(h=void 0,i=[a]),c.rejectWith(h,i))}};b?k():(r.Deferred.getStackHook&&(k.stackTrace=r.Deferred.getStackHook()),a.setTimeout(k))}}return r.Deferred(function(a){c[0][3].add(g(0,a,r.isFunction(e)?e:N,a.notifyWith)),c[1][3].add(g(0,a,r.isFunction(b)?b:N)),c[2][3].add(g(0,a,r.isFunction(d)?d:O))}).promise()},promise:function(a){return null!=a?r.extend(a,e):e}},f={};return r.each(c,function(a,b){var g=b[2],h=b[5];e[b[1]]=g.add,h&&g.add(function(){d=h},c[3-a][2].disable,c[0][2].lock),g.add(b[3].fire),f[b[0]]=function(){return f[b[0]+"With"](this===f?void 0:this,arguments),this},f[b[0]+"With"]=g.fireWith}),e.promise(f),b&&b.call(f,f),f},when:function(a){var b=arguments.length,c=b,d=Array(c),e=f.call(arguments),g=r.Deferred(),h=function(a){return function(c){d[a]=this,e[a]=arguments.length>1?f.call(arguments):c,--b||g.resolveWith(d,e)}};if(b<=1&&(P(a,g.done(h(c)).resolve,g.reject,!b),"pending"===g.state()||r.isFunction(e[c]&&e[c].then)))return g.then();while(c--)P(e[c],h(c),g.reject);return g.promise()}});var Q=/^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;r.Deferred.exceptionHook=function(b,c){a.console&&a.console.warn&&b&&Q.test(b.name)&&a.console.warn("jQuery.Deferred exception: "+b.message,b.stack,c)},r.readyException=function(b){a.setTimeout(function(){throw b})};var R=r.Deferred();r.fn.ready=function(a){return R.then(a)["catch"](function(a){r.readyException(a)}),this},r.extend({isReady:!1,readyWait:1,ready:function(a){(a===!0?--r.readyWait:r.isReady)||(r.isReady=!0,a!==!0&&--r.readyWait>0||R.resolveWith(d,[r]))}}),r.ready.then=R.then;function S(){d.removeEventListener("DOMContentLoaded",S), -a.removeEventListener("load",S),r.ready()}"complete"===d.readyState||"loading"!==d.readyState&&!d.documentElement.doScroll?a.setTimeout(r.ready):(d.addEventListener("DOMContentLoaded",S),a.addEventListener("load",S));var T=function(a,b,c,d,e,f,g){var h=0,i=a.length,j=null==c;if("object"===r.type(c)){e=!0;for(h in c)T(a,b,h,c[h],!0,f,g)}else if(void 0!==d&&(e=!0,r.isFunction(d)||(g=!0),j&&(g?(b.call(a,d),b=null):(j=b,b=function(a,b,c){return j.call(r(a),c)})),b))for(;h1,null,!0)},removeData:function(a){return this.each(function(){X.remove(this,a)})}}),r.extend({queue:function(a,b,c){var d;if(a)return b=(b||"fx")+"queue",d=W.get(a,b),c&&(!d||Array.isArray(c)?d=W.access(a,b,r.makeArray(c)):d.push(c)),d||[]},dequeue:function(a,b){b=b||"fx";var c=r.queue(a,b),d=c.length,e=c.shift(),f=r._queueHooks(a,b),g=function(){r.dequeue(a,b)};"inprogress"===e&&(e=c.shift(),d--),e&&("fx"===b&&c.unshift("inprogress"),delete f.stop,e.call(a,g,f)),!d&&f&&f.empty.fire()},_queueHooks:function(a,b){var c=b+"queueHooks";return W.get(a,c)||W.access(a,c,{empty:r.Callbacks("once memory").add(function(){W.remove(a,[b+"queue",c])})})}}),r.fn.extend({queue:function(a,b){var c=2;return"string"!=typeof a&&(b=a,a="fx",c--),arguments.length\x20\t\r\n\f]+)/i,la=/^$|\/(?:java|ecma)script/i,ma={option:[1,""],thead:[1,"","
"],col:[2,"","
"],tr:[2,"","
"],td:[3,"","
"],_default:[0,"",""]};ma.optgroup=ma.option,ma.tbody=ma.tfoot=ma.colgroup=ma.caption=ma.thead,ma.th=ma.td;function na(a,b){var c;return c="undefined"!=typeof a.getElementsByTagName?a.getElementsByTagName(b||"*"):"undefined"!=typeof a.querySelectorAll?a.querySelectorAll(b||"*"):[],void 0===b||b&&B(a,b)?r.merge([a],c):c}function oa(a,b){for(var c=0,d=a.length;c-1)e&&e.push(f);else if(j=r.contains(f.ownerDocument,f),g=na(l.appendChild(f),"script"),j&&oa(g),c){k=0;while(f=g[k++])la.test(f.type||"")&&c.push(f)}return l}!function(){var a=d.createDocumentFragment(),b=a.appendChild(d.createElement("div")),c=d.createElement("input");c.setAttribute("type","radio"),c.setAttribute("checked","checked"),c.setAttribute("name","t"),b.appendChild(c),o.checkClone=b.cloneNode(!0).cloneNode(!0).lastChild.checked,b.innerHTML="",o.noCloneChecked=!!b.cloneNode(!0).lastChild.defaultValue}();var ra=d.documentElement,sa=/^key/,ta=/^(?:mouse|pointer|contextmenu|drag|drop)|click/,ua=/^([^.]*)(?:\.(.+)|)/;function va(){return!0}function wa(){return!1}function xa(){try{return d.activeElement}catch(a){}}function ya(a,b,c,d,e,f){var g,h;if("object"==typeof b){"string"!=typeof c&&(d=d||c,c=void 0);for(h in b)ya(a,h,c,d,b[h],f);return a}if(null==d&&null==e?(e=c,d=c=void 0):null==e&&("string"==typeof c?(e=d,d=void 0):(e=d,d=c,c=void 0)),e===!1)e=wa;else if(!e)return a;return 1===f&&(g=e,e=function(a){return r().off(a),g.apply(this,arguments)},e.guid=g.guid||(g.guid=r.guid++)),a.each(function(){r.event.add(this,b,e,d,c)})}r.event={global:{},add:function(a,b,c,d,e){var f,g,h,i,j,k,l,m,n,o,p,q=W.get(a);if(q){c.handler&&(f=c,c=f.handler,e=f.selector),e&&r.find.matchesSelector(ra,e),c.guid||(c.guid=r.guid++),(i=q.events)||(i=q.events={}),(g=q.handle)||(g=q.handle=function(b){return"undefined"!=typeof r&&r.event.triggered!==b.type?r.event.dispatch.apply(a,arguments):void 0}),b=(b||"").match(L)||[""],j=b.length;while(j--)h=ua.exec(b[j])||[],n=p=h[1],o=(h[2]||"").split(".").sort(),n&&(l=r.event.special[n]||{},n=(e?l.delegateType:l.bindType)||n,l=r.event.special[n]||{},k=r.extend({type:n,origType:p,data:d,handler:c,guid:c.guid,selector:e,needsContext:e&&r.expr.match.needsContext.test(e),namespace:o.join(".")},f),(m=i[n])||(m=i[n]=[],m.delegateCount=0,l.setup&&l.setup.call(a,d,o,g)!==!1||a.addEventListener&&a.addEventListener(n,g)),l.add&&(l.add.call(a,k),k.handler.guid||(k.handler.guid=c.guid)),e?m.splice(m.delegateCount++,0,k):m.push(k),r.event.global[n]=!0)}},remove:function(a,b,c,d,e){var f,g,h,i,j,k,l,m,n,o,p,q=W.hasData(a)&&W.get(a);if(q&&(i=q.events)){b=(b||"").match(L)||[""],j=b.length;while(j--)if(h=ua.exec(b[j])||[],n=p=h[1],o=(h[2]||"").split(".").sort(),n){l=r.event.special[n]||{},n=(d?l.delegateType:l.bindType)||n,m=i[n]||[],h=h[2]&&new RegExp("(^|\\.)"+o.join("\\.(?:.*\\.|)")+"(\\.|$)"),g=f=m.length;while(f--)k=m[f],!e&&p!==k.origType||c&&c.guid!==k.guid||h&&!h.test(k.namespace)||d&&d!==k.selector&&("**"!==d||!k.selector)||(m.splice(f,1),k.selector&&m.delegateCount--,l.remove&&l.remove.call(a,k));g&&!m.length&&(l.teardown&&l.teardown.call(a,o,q.handle)!==!1||r.removeEvent(a,n,q.handle),delete i[n])}else for(n in i)r.event.remove(a,n+b[j],c,d,!0);r.isEmptyObject(i)&&W.remove(a,"handle events")}},dispatch:function(a){var b=r.event.fix(a),c,d,e,f,g,h,i=new Array(arguments.length),j=(W.get(this,"events")||{})[b.type]||[],k=r.event.special[b.type]||{};for(i[0]=b,c=1;c=1))for(;j!==this;j=j.parentNode||this)if(1===j.nodeType&&("click"!==a.type||j.disabled!==!0)){for(f=[],g={},c=0;c-1:r.find(e,this,null,[j]).length),g[e]&&f.push(d);f.length&&h.push({elem:j,handlers:f})}return j=this,i\x20\t\r\n\f]*)[^>]*)\/>/gi,Aa=/\s*$/g;function Ea(a,b){return B(a,"table")&&B(11!==b.nodeType?b:b.firstChild,"tr")?r(">tbody",a)[0]||a:a}function Fa(a){return a.type=(null!==a.getAttribute("type"))+"/"+a.type,a}function Ga(a){var b=Ca.exec(a.type);return b?a.type=b[1]:a.removeAttribute("type"),a}function Ha(a,b){var c,d,e,f,g,h,i,j;if(1===b.nodeType){if(W.hasData(a)&&(f=W.access(a),g=W.set(b,f),j=f.events)){delete g.handle,g.events={};for(e in j)for(c=0,d=j[e].length;c1&&"string"==typeof q&&!o.checkClone&&Ba.test(q))return a.each(function(e){var f=a.eq(e);s&&(b[0]=q.call(this,e,f.html())),Ja(f,b,c,d)});if(m&&(e=qa(b,a[0].ownerDocument,!1,a,d),f=e.firstChild,1===e.childNodes.length&&(e=f),f||d)){for(h=r.map(na(e,"script"),Fa),i=h.length;l")},clone:function(a,b,c){var d,e,f,g,h=a.cloneNode(!0),i=r.contains(a.ownerDocument,a);if(!(o.noCloneChecked||1!==a.nodeType&&11!==a.nodeType||r.isXMLDoc(a)))for(g=na(h),f=na(a),d=0,e=f.length;d0&&oa(g,!i&&na(a,"script")),h},cleanData:function(a){for(var b,c,d,e=r.event.special,f=0;void 0!==(c=a[f]);f++)if(U(c)){if(b=c[W.expando]){if(b.events)for(d in b.events)e[d]?r.event.remove(c,d):r.removeEvent(c,d,b.handle);c[W.expando]=void 0}c[X.expando]&&(c[X.expando]=void 0)}}}),r.fn.extend({detach:function(a){return Ka(this,a,!0)},remove:function(a){return Ka(this,a)},text:function(a){return T(this,function(a){return void 0===a?r.text(this):this.empty().each(function(){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||(this.textContent=a)})},null,a,arguments.length)},append:function(){return Ja(this,arguments,function(a){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var b=Ea(this,a);b.appendChild(a)}})},prepend:function(){return Ja(this,arguments,function(a){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var b=Ea(this,a);b.insertBefore(a,b.firstChild)}})},before:function(){return Ja(this,arguments,function(a){this.parentNode&&this.parentNode.insertBefore(a,this)})},after:function(){return Ja(this,arguments,function(a){this.parentNode&&this.parentNode.insertBefore(a,this.nextSibling)})},empty:function(){for(var a,b=0;null!=(a=this[b]);b++)1===a.nodeType&&(r.cleanData(na(a,!1)),a.textContent="");return this},clone:function(a,b){return a=null!=a&&a,b=null==b?a:b,this.map(function(){return r.clone(this,a,b)})},html:function(a){return T(this,function(a){var b=this[0]||{},c=0,d=this.length;if(void 0===a&&1===b.nodeType)return b.innerHTML;if("string"==typeof a&&!Aa.test(a)&&!ma[(ka.exec(a)||["",""])[1].toLowerCase()]){a=r.htmlPrefilter(a);try{for(;c1)}});function _a(a,b,c,d,e){return new _a.prototype.init(a,b,c,d,e)}r.Tween=_a,_a.prototype={constructor:_a,init:function(a,b,c,d,e,f){this.elem=a,this.prop=c,this.easing=e||r.easing._default,this.options=b,this.start=this.now=this.cur(),this.end=d,this.unit=f||(r.cssNumber[c]?"":"px")},cur:function(){var a=_a.propHooks[this.prop];return a&&a.get?a.get(this):_a.propHooks._default.get(this)},run:function(a){var b,c=_a.propHooks[this.prop];return this.options.duration?this.pos=b=r.easing[this.easing](a,this.options.duration*a,0,1,this.options.duration):this.pos=b=a,this.now=(this.end-this.start)*b+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),c&&c.set?c.set(this):_a.propHooks._default.set(this),this}},_a.prototype.init.prototype=_a.prototype,_a.propHooks={_default:{get:function(a){var b;return 1!==a.elem.nodeType||null!=a.elem[a.prop]&&null==a.elem.style[a.prop]?a.elem[a.prop]:(b=r.css(a.elem,a.prop,""),b&&"auto"!==b?b:0)},set:function(a){r.fx.step[a.prop]?r.fx.step[a.prop](a):1!==a.elem.nodeType||null==a.elem.style[r.cssProps[a.prop]]&&!r.cssHooks[a.prop]?a.elem[a.prop]=a.now:r.style(a.elem,a.prop,a.now+a.unit)}}},_a.propHooks.scrollTop=_a.propHooks.scrollLeft={set:function(a){a.elem.nodeType&&a.elem.parentNode&&(a.elem[a.prop]=a.now)}},r.easing={linear:function(a){return a},swing:function(a){return.5-Math.cos(a*Math.PI)/2},_default:"swing"},r.fx=_a.prototype.init,r.fx.step={};var ab,bb,cb=/^(?:toggle|show|hide)$/,db=/queueHooks$/;function eb(){bb&&(d.hidden===!1&&a.requestAnimationFrame?a.requestAnimationFrame(eb):a.setTimeout(eb,r.fx.interval),r.fx.tick())}function fb(){return a.setTimeout(function(){ab=void 0}),ab=r.now()}function gb(a,b){var c,d=0,e={height:a};for(b=b?1:0;d<4;d+=2-b)c=ca[d],e["margin"+c]=e["padding"+c]=a;return b&&(e.opacity=e.width=a),e}function hb(a,b,c){for(var d,e=(kb.tweeners[b]||[]).concat(kb.tweeners["*"]),f=0,g=e.length;f1)},removeAttr:function(a){return this.each(function(){r.removeAttr(this,a)})}}),r.extend({attr:function(a,b,c){var d,e,f=a.nodeType;if(3!==f&&8!==f&&2!==f)return"undefined"==typeof a.getAttribute?r.prop(a,b,c):(1===f&&r.isXMLDoc(a)||(e=r.attrHooks[b.toLowerCase()]||(r.expr.match.bool.test(b)?lb:void 0)),void 0!==c?null===c?void r.removeAttr(a,b):e&&"set"in e&&void 0!==(d=e.set(a,c,b))?d:(a.setAttribute(b,c+""),c):e&&"get"in e&&null!==(d=e.get(a,b))?d:(d=r.find.attr(a,b), -null==d?void 0:d))},attrHooks:{type:{set:function(a,b){if(!o.radioValue&&"radio"===b&&B(a,"input")){var c=a.value;return a.setAttribute("type",b),c&&(a.value=c),b}}}},removeAttr:function(a,b){var c,d=0,e=b&&b.match(L);if(e&&1===a.nodeType)while(c=e[d++])a.removeAttribute(c)}}),lb={set:function(a,b,c){return b===!1?r.removeAttr(a,c):a.setAttribute(c,c),c}},r.each(r.expr.match.bool.source.match(/\w+/g),function(a,b){var c=mb[b]||r.find.attr;mb[b]=function(a,b,d){var e,f,g=b.toLowerCase();return d||(f=mb[g],mb[g]=e,e=null!=c(a,b,d)?g:null,mb[g]=f),e}});var nb=/^(?:input|select|textarea|button)$/i,ob=/^(?:a|area)$/i;r.fn.extend({prop:function(a,b){return T(this,r.prop,a,b,arguments.length>1)},removeProp:function(a){return this.each(function(){delete this[r.propFix[a]||a]})}}),r.extend({prop:function(a,b,c){var d,e,f=a.nodeType;if(3!==f&&8!==f&&2!==f)return 1===f&&r.isXMLDoc(a)||(b=r.propFix[b]||b,e=r.propHooks[b]),void 0!==c?e&&"set"in e&&void 0!==(d=e.set(a,c,b))?d:a[b]=c:e&&"get"in e&&null!==(d=e.get(a,b))?d:a[b]},propHooks:{tabIndex:{get:function(a){var b=r.find.attr(a,"tabindex");return b?parseInt(b,10):nb.test(a.nodeName)||ob.test(a.nodeName)&&a.href?0:-1}}},propFix:{"for":"htmlFor","class":"className"}}),o.optSelected||(r.propHooks.selected={get:function(a){var b=a.parentNode;return b&&b.parentNode&&b.parentNode.selectedIndex,null},set:function(a){var b=a.parentNode;b&&(b.selectedIndex,b.parentNode&&b.parentNode.selectedIndex)}}),r.each(["tabIndex","readOnly","maxLength","cellSpacing","cellPadding","rowSpan","colSpan","useMap","frameBorder","contentEditable"],function(){r.propFix[this.toLowerCase()]=this});function pb(a){var b=a.match(L)||[];return b.join(" ")}function qb(a){return a.getAttribute&&a.getAttribute("class")||""}r.fn.extend({addClass:function(a){var b,c,d,e,f,g,h,i=0;if(r.isFunction(a))return this.each(function(b){r(this).addClass(a.call(this,b,qb(this)))});if("string"==typeof a&&a){b=a.match(L)||[];while(c=this[i++])if(e=qb(c),d=1===c.nodeType&&" "+pb(e)+" "){g=0;while(f=b[g++])d.indexOf(" "+f+" ")<0&&(d+=f+" ");h=pb(d),e!==h&&c.setAttribute("class",h)}}return this},removeClass:function(a){var b,c,d,e,f,g,h,i=0;if(r.isFunction(a))return this.each(function(b){r(this).removeClass(a.call(this,b,qb(this)))});if(!arguments.length)return this.attr("class","");if("string"==typeof a&&a){b=a.match(L)||[];while(c=this[i++])if(e=qb(c),d=1===c.nodeType&&" "+pb(e)+" "){g=0;while(f=b[g++])while(d.indexOf(" "+f+" ")>-1)d=d.replace(" "+f+" "," ");h=pb(d),e!==h&&c.setAttribute("class",h)}}return this},toggleClass:function(a,b){var c=typeof a;return"boolean"==typeof b&&"string"===c?b?this.addClass(a):this.removeClass(a):r.isFunction(a)?this.each(function(c){r(this).toggleClass(a.call(this,c,qb(this),b),b)}):this.each(function(){var b,d,e,f;if("string"===c){d=0,e=r(this),f=a.match(L)||[];while(b=f[d++])e.hasClass(b)?e.removeClass(b):e.addClass(b)}else void 0!==a&&"boolean"!==c||(b=qb(this),b&&W.set(this,"__className__",b),this.setAttribute&&this.setAttribute("class",b||a===!1?"":W.get(this,"__className__")||""))})},hasClass:function(a){var b,c,d=0;b=" "+a+" ";while(c=this[d++])if(1===c.nodeType&&(" "+pb(qb(c))+" ").indexOf(b)>-1)return!0;return!1}});var rb=/\r/g;r.fn.extend({val:function(a){var b,c,d,e=this[0];{if(arguments.length)return d=r.isFunction(a),this.each(function(c){var e;1===this.nodeType&&(e=d?a.call(this,c,r(this).val()):a,null==e?e="":"number"==typeof e?e+="":Array.isArray(e)&&(e=r.map(e,function(a){return null==a?"":a+""})),b=r.valHooks[this.type]||r.valHooks[this.nodeName.toLowerCase()],b&&"set"in b&&void 0!==b.set(this,e,"value")||(this.value=e))});if(e)return b=r.valHooks[e.type]||r.valHooks[e.nodeName.toLowerCase()],b&&"get"in b&&void 0!==(c=b.get(e,"value"))?c:(c=e.value,"string"==typeof c?c.replace(rb,""):null==c?"":c)}}}),r.extend({valHooks:{option:{get:function(a){var b=r.find.attr(a,"value");return null!=b?b:pb(r.text(a))}},select:{get:function(a){var b,c,d,e=a.options,f=a.selectedIndex,g="select-one"===a.type,h=g?null:[],i=g?f+1:e.length;for(d=f<0?i:g?f:0;d-1)&&(c=!0);return c||(a.selectedIndex=-1),f}}}}),r.each(["radio","checkbox"],function(){r.valHooks[this]={set:function(a,b){if(Array.isArray(b))return a.checked=r.inArray(r(a).val(),b)>-1}},o.checkOn||(r.valHooks[this].get=function(a){return null===a.getAttribute("value")?"on":a.value})});var sb=/^(?:focusinfocus|focusoutblur)$/;r.extend(r.event,{trigger:function(b,c,e,f){var g,h,i,j,k,m,n,o=[e||d],p=l.call(b,"type")?b.type:b,q=l.call(b,"namespace")?b.namespace.split("."):[];if(h=i=e=e||d,3!==e.nodeType&&8!==e.nodeType&&!sb.test(p+r.event.triggered)&&(p.indexOf(".")>-1&&(q=p.split("."),p=q.shift(),q.sort()),k=p.indexOf(":")<0&&"on"+p,b=b[r.expando]?b:new r.Event(p,"object"==typeof b&&b),b.isTrigger=f?2:3,b.namespace=q.join("."),b.rnamespace=b.namespace?new RegExp("(^|\\.)"+q.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,b.result=void 0,b.target||(b.target=e),c=null==c?[b]:r.makeArray(c,[b]),n=r.event.special[p]||{},f||!n.trigger||n.trigger.apply(e,c)!==!1)){if(!f&&!n.noBubble&&!r.isWindow(e)){for(j=n.delegateType||p,sb.test(j+p)||(h=h.parentNode);h;h=h.parentNode)o.push(h),i=h;i===(e.ownerDocument||d)&&o.push(i.defaultView||i.parentWindow||a)}g=0;while((h=o[g++])&&!b.isPropagationStopped())b.type=g>1?j:n.bindType||p,m=(W.get(h,"events")||{})[b.type]&&W.get(h,"handle"),m&&m.apply(h,c),m=k&&h[k],m&&m.apply&&U(h)&&(b.result=m.apply(h,c),b.result===!1&&b.preventDefault());return b.type=p,f||b.isDefaultPrevented()||n._default&&n._default.apply(o.pop(),c)!==!1||!U(e)||k&&r.isFunction(e[p])&&!r.isWindow(e)&&(i=e[k],i&&(e[k]=null),r.event.triggered=p,e[p](),r.event.triggered=void 0,i&&(e[k]=i)),b.result}},simulate:function(a,b,c){var d=r.extend(new r.Event,c,{type:a,isSimulated:!0});r.event.trigger(d,null,b)}}),r.fn.extend({trigger:function(a,b){return this.each(function(){r.event.trigger(a,b,this)})},triggerHandler:function(a,b){var c=this[0];if(c)return r.event.trigger(a,b,c,!0)}}),r.each("blur focus focusin focusout resize scroll click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup contextmenu".split(" "),function(a,b){r.fn[b]=function(a,c){return arguments.length>0?this.on(b,null,a,c):this.trigger(b)}}),r.fn.extend({hover:function(a,b){return this.mouseenter(a).mouseleave(b||a)}}),o.focusin="onfocusin"in a,o.focusin||r.each({focus:"focusin",blur:"focusout"},function(a,b){var c=function(a){r.event.simulate(b,a.target,r.event.fix(a))};r.event.special[b]={setup:function(){var d=this.ownerDocument||this,e=W.access(d,b);e||d.addEventListener(a,c,!0),W.access(d,b,(e||0)+1)},teardown:function(){var d=this.ownerDocument||this,e=W.access(d,b)-1;e?W.access(d,b,e):(d.removeEventListener(a,c,!0),W.remove(d,b))}}});var tb=a.location,ub=r.now(),vb=/\?/;r.parseXML=function(b){var c;if(!b||"string"!=typeof b)return null;try{c=(new a.DOMParser).parseFromString(b,"text/xml")}catch(d){c=void 0}return c&&!c.getElementsByTagName("parsererror").length||r.error("Invalid XML: "+b),c};var wb=/\[\]$/,xb=/\r?\n/g,yb=/^(?:submit|button|image|reset|file)$/i,zb=/^(?:input|select|textarea|keygen)/i;function Ab(a,b,c,d){var e;if(Array.isArray(b))r.each(b,function(b,e){c||wb.test(a)?d(a,e):Ab(a+"["+("object"==typeof e&&null!=e?b:"")+"]",e,c,d)});else if(c||"object"!==r.type(b))d(a,b);else for(e in b)Ab(a+"["+e+"]",b[e],c,d)}r.param=function(a,b){var c,d=[],e=function(a,b){var c=r.isFunction(b)?b():b;d[d.length]=encodeURIComponent(a)+"="+encodeURIComponent(null==c?"":c)};if(Array.isArray(a)||a.jquery&&!r.isPlainObject(a))r.each(a,function(){e(this.name,this.value)});else for(c in a)Ab(c,a[c],b,e);return d.join("&")},r.fn.extend({serialize:function(){return r.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var a=r.prop(this,"elements");return a?r.makeArray(a):this}).filter(function(){var a=this.type;return this.name&&!r(this).is(":disabled")&&zb.test(this.nodeName)&&!yb.test(a)&&(this.checked||!ja.test(a))}).map(function(a,b){var c=r(this).val();return null==c?null:Array.isArray(c)?r.map(c,function(a){return{name:b.name,value:a.replace(xb,"\r\n")}}):{name:b.name,value:c.replace(xb,"\r\n")}}).get()}});var Bb=/%20/g,Cb=/#.*$/,Db=/([?&])_=[^&]*/,Eb=/^(.*?):[ \t]*([^\r\n]*)$/gm,Fb=/^(?:about|app|app-storage|.+-extension|file|res|widget):$/,Gb=/^(?:GET|HEAD)$/,Hb=/^\/\//,Ib={},Jb={},Kb="*/".concat("*"),Lb=d.createElement("a");Lb.href=tb.href;function Mb(a){return function(b,c){"string"!=typeof b&&(c=b,b="*");var d,e=0,f=b.toLowerCase().match(L)||[];if(r.isFunction(c))while(d=f[e++])"+"===d[0]?(d=d.slice(1)||"*",(a[d]=a[d]||[]).unshift(c)):(a[d]=a[d]||[]).push(c)}}function Nb(a,b,c,d){var e={},f=a===Jb;function g(h){var i;return e[h]=!0,r.each(a[h]||[],function(a,h){var j=h(b,c,d);return"string"!=typeof j||f||e[j]?f?!(i=j):void 0:(b.dataTypes.unshift(j),g(j),!1)}),i}return g(b.dataTypes[0])||!e["*"]&&g("*")}function Ob(a,b){var c,d,e=r.ajaxSettings.flatOptions||{};for(c in b)void 0!==b[c]&&((e[c]?a:d||(d={}))[c]=b[c]);return d&&r.extend(!0,a,d),a}function Pb(a,b,c){var d,e,f,g,h=a.contents,i=a.dataTypes;while("*"===i[0])i.shift(),void 0===d&&(d=a.mimeType||b.getResponseHeader("Content-Type"));if(d)for(e in h)if(h[e]&&h[e].test(d)){i.unshift(e);break}if(i[0]in c)f=i[0];else{for(e in c){if(!i[0]||a.converters[e+" "+i[0]]){f=e;break}g||(g=e)}f=f||g}if(f)return f!==i[0]&&i.unshift(f),c[f]}function Qb(a,b,c,d){var e,f,g,h,i,j={},k=a.dataTypes.slice();if(k[1])for(g in a.converters)j[g.toLowerCase()]=a.converters[g];f=k.shift();while(f)if(a.responseFields[f]&&(c[a.responseFields[f]]=b),!i&&d&&a.dataFilter&&(b=a.dataFilter(b,a.dataType)),i=f,f=k.shift())if("*"===f)f=i;else if("*"!==i&&i!==f){if(g=j[i+" "+f]||j["* "+f],!g)for(e in j)if(h=e.split(" "),h[1]===f&&(g=j[i+" "+h[0]]||j["* "+h[0]])){g===!0?g=j[e]:j[e]!==!0&&(f=h[0],k.unshift(h[1]));break}if(g!==!0)if(g&&a["throws"])b=g(b);else try{b=g(b)}catch(l){return{state:"parsererror",error:g?l:"No conversion from "+i+" to "+f}}}return{state:"success",data:b}}r.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:tb.href,type:"GET",isLocal:Fb.test(tb.protocol),global:!0,processData:!0,async:!0,contentType:"application/x-www-form-urlencoded; charset=UTF-8",accepts:{"*":Kb,text:"text/plain",html:"text/html",xml:"application/xml, text/xml",json:"application/json, text/javascript"},contents:{xml:/\bxml\b/,html:/\bhtml/,json:/\bjson\b/},responseFields:{xml:"responseXML",text:"responseText",json:"responseJSON"},converters:{"* text":String,"text html":!0,"text json":JSON.parse,"text xml":r.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(a,b){return b?Ob(Ob(a,r.ajaxSettings),b):Ob(r.ajaxSettings,a)},ajaxPrefilter:Mb(Ib),ajaxTransport:Mb(Jb),ajax:function(b,c){"object"==typeof b&&(c=b,b=void 0),c=c||{};var e,f,g,h,i,j,k,l,m,n,o=r.ajaxSetup({},c),p=o.context||o,q=o.context&&(p.nodeType||p.jquery)?r(p):r.event,s=r.Deferred(),t=r.Callbacks("once memory"),u=o.statusCode||{},v={},w={},x="canceled",y={readyState:0,getResponseHeader:function(a){var b;if(k){if(!h){h={};while(b=Eb.exec(g))h[b[1].toLowerCase()]=b[2]}b=h[a.toLowerCase()]}return null==b?null:b},getAllResponseHeaders:function(){return k?g:null},setRequestHeader:function(a,b){return null==k&&(a=w[a.toLowerCase()]=w[a.toLowerCase()]||a,v[a]=b),this},overrideMimeType:function(a){return null==k&&(o.mimeType=a),this},statusCode:function(a){var b;if(a)if(k)y.always(a[y.status]);else for(b in a)u[b]=[u[b],a[b]];return this},abort:function(a){var b=a||x;return e&&e.abort(b),A(0,b),this}};if(s.promise(y),o.url=((b||o.url||tb.href)+"").replace(Hb,tb.protocol+"//"),o.type=c.method||c.type||o.method||o.type,o.dataTypes=(o.dataType||"*").toLowerCase().match(L)||[""],null==o.crossDomain){j=d.createElement("a");try{j.href=o.url,j.href=j.href,o.crossDomain=Lb.protocol+"//"+Lb.host!=j.protocol+"//"+j.host}catch(z){o.crossDomain=!0}}if(o.data&&o.processData&&"string"!=typeof o.data&&(o.data=r.param(o.data,o.traditional)),Nb(Ib,o,c,y),k)return y;l=r.event&&o.global,l&&0===r.active++&&r.event.trigger("ajaxStart"),o.type=o.type.toUpperCase(),o.hasContent=!Gb.test(o.type),f=o.url.replace(Cb,""),o.hasContent?o.data&&o.processData&&0===(o.contentType||"").indexOf("application/x-www-form-urlencoded")&&(o.data=o.data.replace(Bb,"+")):(n=o.url.slice(f.length),o.data&&(f+=(vb.test(f)?"&":"?")+o.data,delete o.data),o.cache===!1&&(f=f.replace(Db,"$1"),n=(vb.test(f)?"&":"?")+"_="+ub++ +n),o.url=f+n),o.ifModified&&(r.lastModified[f]&&y.setRequestHeader("If-Modified-Since",r.lastModified[f]),r.etag[f]&&y.setRequestHeader("If-None-Match",r.etag[f])),(o.data&&o.hasContent&&o.contentType!==!1||c.contentType)&&y.setRequestHeader("Content-Type",o.contentType),y.setRequestHeader("Accept",o.dataTypes[0]&&o.accepts[o.dataTypes[0]]?o.accepts[o.dataTypes[0]]+("*"!==o.dataTypes[0]?", "+Kb+"; q=0.01":""):o.accepts["*"]);for(m in o.headers)y.setRequestHeader(m,o.headers[m]);if(o.beforeSend&&(o.beforeSend.call(p,y,o)===!1||k))return y.abort();if(x="abort",t.add(o.complete),y.done(o.success),y.fail(o.error),e=Nb(Jb,o,c,y)){if(y.readyState=1,l&&q.trigger("ajaxSend",[y,o]),k)return y;o.async&&o.timeout>0&&(i=a.setTimeout(function(){y.abort("timeout")},o.timeout));try{k=!1,e.send(v,A)}catch(z){if(k)throw z;A(-1,z)}}else A(-1,"No Transport");function A(b,c,d,h){var j,m,n,v,w,x=c;k||(k=!0,i&&a.clearTimeout(i),e=void 0,g=h||"",y.readyState=b>0?4:0,j=b>=200&&b<300||304===b,d&&(v=Pb(o,y,d)),v=Qb(o,v,y,j),j?(o.ifModified&&(w=y.getResponseHeader("Last-Modified"),w&&(r.lastModified[f]=w),w=y.getResponseHeader("etag"),w&&(r.etag[f]=w)),204===b||"HEAD"===o.type?x="nocontent":304===b?x="notmodified":(x=v.state,m=v.data,n=v.error,j=!n)):(n=x,!b&&x||(x="error",b<0&&(b=0))),y.status=b,y.statusText=(c||x)+"",j?s.resolveWith(p,[m,x,y]):s.rejectWith(p,[y,x,n]),y.statusCode(u),u=void 0,l&&q.trigger(j?"ajaxSuccess":"ajaxError",[y,o,j?m:n]),t.fireWith(p,[y,x]),l&&(q.trigger("ajaxComplete",[y,o]),--r.active||r.event.trigger("ajaxStop")))}return y},getJSON:function(a,b,c){return r.get(a,b,c,"json")},getScript:function(a,b){return r.get(a,void 0,b,"script")}}),r.each(["get","post"],function(a,b){r[b]=function(a,c,d,e){return r.isFunction(c)&&(e=e||d,d=c,c=void 0),r.ajax(r.extend({url:a,type:b,dataType:e,data:c,success:d},r.isPlainObject(a)&&a))}}),r._evalUrl=function(a){return r.ajax({url:a,type:"GET",dataType:"script",cache:!0,async:!1,global:!1,"throws":!0})},r.fn.extend({wrapAll:function(a){var b;return this[0]&&(r.isFunction(a)&&(a=a.call(this[0])),b=r(a,this[0].ownerDocument).eq(0).clone(!0),this[0].parentNode&&b.insertBefore(this[0]),b.map(function(){var a=this;while(a.firstElementChild)a=a.firstElementChild;return a}).append(this)),this},wrapInner:function(a){return r.isFunction(a)?this.each(function(b){r(this).wrapInner(a.call(this,b))}):this.each(function(){var b=r(this),c=b.contents();c.length?c.wrapAll(a):b.append(a)})},wrap:function(a){var b=r.isFunction(a);return this.each(function(c){r(this).wrapAll(b?a.call(this,c):a)})},unwrap:function(a){return this.parent(a).not("body").each(function(){r(this).replaceWith(this.childNodes)}),this}}),r.expr.pseudos.hidden=function(a){return!r.expr.pseudos.visible(a)},r.expr.pseudos.visible=function(a){return!!(a.offsetWidth||a.offsetHeight||a.getClientRects().length)},r.ajaxSettings.xhr=function(){try{return new a.XMLHttpRequest}catch(b){}};var Rb={0:200,1223:204},Sb=r.ajaxSettings.xhr();o.cors=!!Sb&&"withCredentials"in Sb,o.ajax=Sb=!!Sb,r.ajaxTransport(function(b){var c,d;if(o.cors||Sb&&!b.crossDomain)return{send:function(e,f){var g,h=b.xhr();if(h.open(b.type,b.url,b.async,b.username,b.password),b.xhrFields)for(g in b.xhrFields)h[g]=b.xhrFields[g];b.mimeType&&h.overrideMimeType&&h.overrideMimeType(b.mimeType),b.crossDomain||e["X-Requested-With"]||(e["X-Requested-With"]="XMLHttpRequest");for(g in e)h.setRequestHeader(g,e[g]);c=function(a){return function(){c&&(c=d=h.onload=h.onerror=h.onabort=h.onreadystatechange=null,"abort"===a?h.abort():"error"===a?"number"!=typeof h.status?f(0,"error"):f(h.status,h.statusText):f(Rb[h.status]||h.status,h.statusText,"text"!==(h.responseType||"text")||"string"!=typeof h.responseText?{binary:h.response}:{text:h.responseText},h.getAllResponseHeaders()))}},h.onload=c(),d=h.onerror=c("error"),void 0!==h.onabort?h.onabort=d:h.onreadystatechange=function(){4===h.readyState&&a.setTimeout(function(){c&&d()})},c=c("abort");try{h.send(b.hasContent&&b.data||null)}catch(i){if(c)throw i}},abort:function(){c&&c()}}}),r.ajaxPrefilter(function(a){a.crossDomain&&(a.contents.script=!1)}),r.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/\b(?:java|ecma)script\b/},converters:{"text script":function(a){return r.globalEval(a),a}}}),r.ajaxPrefilter("script",function(a){void 0===a.cache&&(a.cache=!1),a.crossDomain&&(a.type="GET")}),r.ajaxTransport("script",function(a){if(a.crossDomain){var b,c;return{send:function(e,f){b=r(" - - - - - - - - - - -

-
-
-
-

PaddleSpeech Serving简介

-

- PaddleSpeech 是基于飞桨 PaddlePaddle 的语音方向的开源模型库，用于语音和音频中的各种关键任务的开发。PaddleSpeech Serving是基于python + fastapi 的语音算法模型的C/S类型后端服务，旨在统一paddle speech下的各语音算子来对外提供后端服务。 -

-
-
- -
-
-
-
-
-

产品体验

-
-
-
-
-
-
-
-
- WebSocket URL： - -
- - -
- 识别中， 秒后自动停止识别 -
-
-
-
-
此处显示识别结果
-
-
-
-
-
- - - - From 7fc81fe9d9d7e3848b0af0e3cb7e7e5537a59b7e Mon Sep 17 00:00:00 2001 From: Jackwaterveg <87408988+Jackwaterveg@users.noreply.github.com> Date: Thu, 30 Jun 2022 16:50:32 +0800 Subject: [PATCH 058/192] test=doc --- examples/aishell/asr1/conf/conformer.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/aishell/asr1/conf/conformer.yaml b/examples/aishell/asr1/conf/conformer.yaml index f5e7070f5..0d12a9ef8 100644 --- a/examples/aishell/asr1/conf/conformer.yaml +++ b/examples/aishell/asr1/conf/conformer.yaml @@ -76,7 +76,7 @@ num_encs: 1 n_epoch: 150 accum_grad: 8 global_grad_clip: 5.0 -dist_sampler: True +dist_sampler: False optim: adam optim_conf: lr: 0.002 From cf846f9ebce0ca2bb0c6bf29d4b7740c5e845b46 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Thu, 30 Jun 2022 12:12:59 +0000 Subject: [PATCH 059/192] rm extra log --- paddlespeech/cli/executor.py | 2 +- paddlespeech/cli/tts/infer.py | 6 ------ paddlespeech/t2s/models/fastspeech2/fastspeech2.py | 4 ---- 3 files changed, 1 insertion(+), 11 deletions(-) diff --git a/paddlespeech/cli/executor.py b/paddlespeech/cli/executor.py index d390f947d..d4187a514 100644 --- a/paddlespeech/cli/executor.py +++ b/paddlespeech/cli/executor.py @@ -217,7 +217,7 @@ class BaseExecutor(ABC): logging.getLogger(name) for name in logging.root.manager.loggerDict ] for l in loggers: - l.disabled = True + l.setLevel(logging.ERROR) def show_rtf(self, info: Dict[str, List[float]]): """ diff --git a/paddlespeech/cli/tts/infer.py b/paddlespeech/cli/tts/infer.py index 5468f257f..7c837761d 100644 --- a/paddlespeech/cli/tts/infer.py +++ b/paddlespeech/cli/tts/infer.py @@ -267,21 +267,18 @@ class TTSExecutor(BaseExecutor): with open(self.phones_dict, "r") as f: phn_id = [line.strip().split() for line in f.readlines()] vocab_size = len(phn_id) - print("vocab_size:", vocab_size) tone_size = None if self.tones_dict: with open(self.tones_dict, "r") as f: tone_id = [line.strip().split() for line in f.readlines()] tone_size = len(tone_id) - print("tone_size:", tone_size) spk_num = None if self.speaker_dict: with open(self.speaker_dict, 'rt') as f: spk_id = [line.strip().split() for line in f.readlines()] spk_num = len(spk_id) - print("spk_num:", spk_num) # frontend if lang == 'zh': @@ -291,7 +288,6 @@ class TTSExecutor(BaseExecutor): elif lang == 'en': self.frontend = English(phone_vocab_path=self.phones_dict) - print("frontend done!") # acoustic model odim = self.am_config.n_mels @@ -324,7 +320,6 @@ class TTSExecutor(BaseExecutor): am_normalizer = ZScore(am_mu, am_std) self.am_inference = am_inference_class(am_normalizer, am) self.am_inference.eval() - print("acoustic model done!") # vocoder # model: {model_name}_{dataset} @@ -347,7 +342,6 @@ class TTSExecutor(BaseExecutor): voc_normalizer = ZScore(voc_mu, voc_std) self.voc_inference = voc_inference_class(voc_normalizer, voc) self.voc_inference.eval() - print("voc done!") def preprocess(self, input: Any, *args, **kwargs): """ diff --git a/paddlespeech/t2s/models/fastspeech2/fastspeech2.py b/paddlespeech/t2s/models/fastspeech2/fastspeech2.py index 48595bb25..ec5ed984c 100644 --- a/paddlespeech/t2s/models/fastspeech2/fastspeech2.py +++ b/paddlespeech/t2s/models/fastspeech2/fastspeech2.py @@ -258,7 +258,6 @@ class FastSpeech2(nn.Layer): padding_idx=self.padding_idx) if encoder_type == "transformer": - print("encoder_type is transformer") self.encoder = TransformerEncoder( idim=idim, attention_dim=adim, @@ -275,7 +274,6 @@ class FastSpeech2(nn.Layer): positionwise_layer_type=positionwise_layer_type, positionwise_conv_kernel_size=positionwise_conv_kernel_size, ) elif encoder_type == "conformer": - print("encoder_type is conformer") self.encoder = ConformerEncoder( idim=idim, attention_dim=adim, @@ -362,7 +360,6 @@ class FastSpeech2(nn.Layer): # NOTE: we use encoder as decoder # because fastspeech's decoder is the same as encoder if decoder_type == "transformer": - print("decoder_type is transformer") self.decoder = TransformerEncoder( idim=0, attention_dim=adim, @@ -380,7 +377,6 @@ class FastSpeech2(nn.Layer): positionwise_layer_type=positionwise_layer_type, positionwise_conv_kernel_size=positionwise_conv_kernel_size, ) elif decoder_type == "conformer": - print("decoder_type is conformer") self.decoder = ConformerEncoder( idim=0, attention_dim=adim, From 20a9a6792562f2ea21a84e888cecbc26af0c785e Mon Sep 17 00:00:00 2001 From: huguanghui <15286669@qq.com> Date: Fri, 1 Jul 2022 00:52:23 +0800 Subject: [PATCH 060/192] fix log issue #2070 --- paddlespeech/server/engine/engine_factory.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paddlespeech/server/engine/engine_factory.py b/paddlespeech/server/engine/engine_factory.py index 6a66a002e..c4f3f9803 100644 --- a/paddlespeech/server/engine/engine_factory.py +++ b/paddlespeech/server/engine/engine_factory.py @@ -13,7 +13,7 @@ # limitations under the License. from typing import Text -from ..utils.log import logger +from paddlespeech.cli.log import logger __all__ = ['EngineFactory'] From ddf14662ca1b76fdf2843d447d2972aced2e927c Mon Sep 17 00:00:00 2001 From: huguanghui <15286669@qq.com> Date: Fri, 1 Jul 2022 00:56:03 +0800 Subject: [PATCH 061/192] fix log issue #2070 --- paddlespeech/server/utils/log.py | 59 ------------------------- paddlespeech/server/utils/onnx_infer.py | 2 +- 2 files changed, 1 insertion(+), 60 deletions(-) delete mode 100644 paddlespeech/server/utils/log.py diff --git a/paddlespeech/server/utils/log.py b/paddlespeech/server/utils/log.py deleted file mode 100644 index 8644064c7..000000000 --- a/paddlespeech/server/utils/log.py +++ /dev/null @@ -1,59 +0,0 @@ -# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -import functools -import logging - -__all__ = [ - 'logger', -] - - -class Logger(object): - def __init__(self, name: str=None): - name = 'PaddleSpeech' if not name else name - self.logger = logging.getLogger(name) - - log_config = { - 'DEBUG': 10, - 'INFO': 20, - 'TRAIN': 21, - 'EVAL': 22, - 'WARNING': 30, - 'ERROR': 40, - 'CRITICAL': 50, - 'EXCEPTION': 100, - } - for key, level in log_config.items(): - logging.addLevelName(level, key) - if key == 'EXCEPTION': - self.__dict__[key.lower()] = self.logger.exception - else: - self.__dict__[key.lower()] = functools.partial(self.__call__, - level) - - self.format = logging.Formatter( - fmt='[%(asctime)-15s] [%(levelname)8s] - %(message)s') - - self.handler = logging.StreamHandler() - self.handler.setFormatter(self.format) - - self.logger.addHandler(self.handler) - self.logger.setLevel(logging.DEBUG) - self.logger.propagate = False - - def __call__(self, log_level: str, msg: str): - self.logger.log(log_level, msg) - - -logger = Logger() diff --git a/paddlespeech/server/utils/onnx_infer.py b/paddlespeech/server/utils/onnx_infer.py index 1c9d878f8..087eb9c00 100644 --- a/paddlespeech/server/utils/onnx_infer.py +++ b/paddlespeech/server/utils/onnx_infer.py @@ -16,7 +16,7 @@ from typing import Optional import onnxruntime as ort -from .log import logger +from paddlespeech.cli.log import logger def get_sess(model_path: Optional[os.PathLike]=None, sess_conf: dict=None): From 98cfdc4c0531406b4787b4aafecb45f371548a8f Mon Sep 17 00:00:00 2001 From: huangyuxin Date: Fri, 1 Jul 2022 02:42:56 +0000 Subject: [PATCH 062/192] fix nxpu --- paddlespeech/s2t/exps/deepspeech2/bin/export.py | 6 ------ paddlespeech/s2t/exps/deepspeech2/bin/test.py | 6 ------ paddlespeech/s2t/exps/deepspeech2/bin/test_export.py | 6 ------ 3 files changed, 18 deletions(-) diff --git a/paddlespeech/s2t/exps/deepspeech2/bin/export.py b/paddlespeech/s2t/exps/deepspeech2/bin/export.py index 049e7b688..8acd46dfc 100644 --- a/paddlespeech/s2t/exps/deepspeech2/bin/export.py +++ b/paddlespeech/s2t/exps/deepspeech2/bin/export.py @@ -35,12 +35,6 @@ if __name__ == "__main__": # save jit model to parser.add_argument( "--export_path", type=str, help="path of the jit model to save") - parser.add_argument( - '--nxpu', - type=int, - default=0, - choices=[0, 1], - help="if nxpu == 0 and ngpu == 0, use cpu.") args = parser.parse_args() print_arguments(args) diff --git a/paddlespeech/s2t/exps/deepspeech2/bin/test.py b/paddlespeech/s2t/exps/deepspeech2/bin/test.py index a9828f6e7..030168a9a 100644 --- a/paddlespeech/s2t/exps/deepspeech2/bin/test.py +++ b/paddlespeech/s2t/exps/deepspeech2/bin/test.py @@ -35,12 +35,6 @@ if __name__ == "__main__": # save asr result to parser.add_argument( "--result_file", type=str, help="path of save the asr result") - parser.add_argument( - '--nxpu', - type=int, - default=0, - choices=[0, 1], - help="if nxpu == 0 and ngpu == 0, use cpu.") args = parser.parse_args() print_arguments(args, globals()) diff --git a/paddlespeech/s2t/exps/deepspeech2/bin/test_export.py b/paddlespeech/s2t/exps/deepspeech2/bin/test_export.py index 8db081e7b..d7a9402b9 100644 --- a/paddlespeech/s2t/exps/deepspeech2/bin/test_export.py +++ b/paddlespeech/s2t/exps/deepspeech2/bin/test_export.py @@ -38,12 +38,6 @@ if __name__ == "__main__": #load jit model from parser.add_argument( "--export_path", type=str, help="path of the jit model to save") - parser.add_argument( - '--nxpu', - type=int, - default=0, - choices=[0, 1], - help="if nxpu == 0 and ngpu == 0, use cpu.") parser.add_argument( "--enable-auto-log", action="store_true", help="use auto log") args = parser.parse_args() From bc93bffbb423eb5d803c2997d540b1d0731089bb Mon Sep 17 00:00:00 2001 From: TianYuan Date: Fri, 1 Jul 2022 08:27:16 +0000 Subject: [PATCH 063/192] replace logger.info with logger.debug in cli, change default log level to INFO --- paddlespeech/cli/asr/infer.py | 40 ++++++------ paddlespeech/cli/cls/infer.py | 6 +- paddlespeech/cli/download.py | 16 ++--- paddlespeech/cli/kws/infer.py | 4 +- paddlespeech/cli/log.py | 2 +- paddlespeech/cli/st/infer.py | 10 +-- paddlespeech/cli/text/infer.py | 2 +- paddlespeech/cli/tts/infer.py | 14 ++--- paddlespeech/cli/vector/infer.py | 61 ++++++++++--------- .../s2t/frontend/augmentor/spec_augment.py | 6 +- .../frontend/featurizer/text_featurizer.py | 12 ++-- paddlespeech/s2t/models/u2/u2.py | 4 +- paddlespeech/s2t/modules/loss.py | 7 ++- paddlespeech/s2t/transform/spec_augment.py | 7 ++- paddlespeech/s2t/utils/tensor_utils.py | 2 +- 15 files changed, 98 insertions(+), 95 deletions(-) diff --git a/paddlespeech/cli/asr/infer.py b/paddlespeech/cli/asr/infer.py index 24839a898..52cb7cc8d 100644 --- a/paddlespeech/cli/asr/infer.py +++ b/paddlespeech/cli/asr/infer.py @@ -133,11 +133,11 @@ class ASRExecutor(BaseExecutor): """ Init model and other resources from a specific path. """ - logger.info("start to init the model") + logger.debug("start to init the model") # default max_len: unit:second self.max_len = 50 if hasattr(self, 'model'): - logger.info('Model had been initialized.') + logger.debug('Model had been initialized.') return if cfg_path is None or ckpt_path is None: @@ -151,15 +151,15 @@ class ASRExecutor(BaseExecutor): self.ckpt_path = os.path.join( self.res_path, self.task_resource.res_dict['ckpt_path'] + ".pdparams") - logger.info(self.res_path) + logger.debug(self.res_path) else: self.cfg_path = os.path.abspath(cfg_path) self.ckpt_path = os.path.abspath(ckpt_path + ".pdparams") self.res_path = os.path.dirname( os.path.dirname(os.path.abspath(self.cfg_path))) - logger.info(self.cfg_path) - logger.info(self.ckpt_path) + logger.debug(self.cfg_path) + logger.debug(self.ckpt_path) #Init body. self.config = CfgNode(new_allowed=True) @@ -216,7 +216,7 @@ class ASRExecutor(BaseExecutor): max_len = self.config.encoder_conf.max_len self.max_len = frame_shift_ms * max_len * subsample_rate - logger.info( + logger.debug( f"The asr server limit max duration len: {self.max_len}") def preprocess(self, model_type: str, input: Union[str, os.PathLike]): @@ -227,15 +227,15 @@ class ASRExecutor(BaseExecutor): audio_file = input if isinstance(audio_file, (str, os.PathLike)): - logger.info("Preprocess audio_file:" + audio_file) + logger.debug("Preprocess audio_file:" + audio_file) # Get the object for feature extraction if "deepspeech2" in model_type or "conformer" in model_type or "transformer" in model_type: - logger.info("get the preprocess conf") + logger.debug("get the preprocess conf") preprocess_conf = self.config.preprocess_config preprocess_args = {"train": False} preprocessing = Transformation(preprocess_conf) - logger.info("read the audio file") + logger.debug("read the audio file") audio, audio_sample_rate = soundfile.read( audio_file, dtype="int16", always_2d=True) if self.change_format: @@ -255,7 +255,7 @@ class ASRExecutor(BaseExecutor): else: audio = audio[:, 0] - logger.info(f"audio shape: {audio.shape}") + logger.debug(f"audio shape: {audio.shape}") # fbank audio = preprocessing(audio, **preprocess_args) @@ -264,19 +264,19 @@ class ASRExecutor(BaseExecutor): self._inputs["audio"] = audio self._inputs["audio_len"] = audio_len - logger.info(f"audio feat shape: {audio.shape}") + logger.debug(f"audio feat shape: {audio.shape}") else: raise Exception("wrong type") - logger.info("audio feat process success") + logger.debug("audio feat process success") @paddle.no_grad() def infer(self, model_type: str): """ Model inference and result stored in self.output. """ - logger.info("start to infer the model to get the output") + logger.debug("start to infer the model to get the output") cfg = self.config.decode audio = self._inputs["audio"] audio_len = self._inputs["audio_len"] @@ -293,7 +293,7 @@ class ASRExecutor(BaseExecutor): self._outputs["result"] = result_transcripts[0] elif "conformer" in model_type or "transformer" in model_type: - logger.info( + logger.debug( f"we will use the transformer like model : {model_type}") try: result_transcripts = self.model.decode( @@ -352,7 +352,7 @@ class ASRExecutor(BaseExecutor): logger.error("Please input the right audio file path") return False - logger.info("checking the audio file format......") + logger.debug("checking the audio file format......") try: audio, audio_sample_rate = soundfile.read( audio_file, dtype="int16", always_2d=True) @@ -374,7 +374,7 @@ class ASRExecutor(BaseExecutor): sox input_audio.xx --rate 8k --bits 16 --channels 1 output_audio.wav \n \ ") return False - logger.info("The sample rate is %d" % audio_sample_rate) + logger.debug("The sample rate is %d" % audio_sample_rate) if audio_sample_rate != self.sample_rate: logger.warning("The sample rate of the input file is not {}.\n \ The program will resample the wav file to {}.\n \ @@ -383,28 +383,28 @@ class ASRExecutor(BaseExecutor): ".format(self.sample_rate, self.sample_rate)) if force_yes is False: while (True): - logger.info( + logger.debug( "Whether to change the sample rate and the channel. Y: change the sample. N: exit the prgream." ) content = input("Input(Y/N):") if content.strip() == "Y" or content.strip( ) == "y" or content.strip() == "yes" or content.strip( ) == "Yes": - logger.info( + logger.debug( "change the sampele rate, channel to 16k and 1 channel" ) break elif content.strip() == "N" or content.strip( ) == "n" or content.strip() == "no" or content.strip( ) == "No": - logger.info("Exit the program") + logger.debug("Exit the program") return False else: logger.warning("Not regular input, please input again") self.change_format = True else: - logger.info("The audio file format is right") + logger.debug("The audio file format is right") self.change_format = False return True diff --git a/paddlespeech/cli/cls/infer.py b/paddlespeech/cli/cls/infer.py index 942dc3b92..c869e28bf 100644 --- a/paddlespeech/cli/cls/infer.py +++ b/paddlespeech/cli/cls/infer.py @@ -92,7 +92,7 @@ class CLSExecutor(BaseExecutor): Init model and other resources from a specific path. """ if hasattr(self, 'model'): - logger.info('Model had been initialized.') + logger.debug('Model had been initialized.') return if label_file is None or ckpt_path is None: @@ -135,14 +135,14 @@ class CLSExecutor(BaseExecutor): Input content can be a text(tts), a file(asr, cls) or a streaming(not supported yet). """ feat_conf = self._conf['feature'] - logger.info(feat_conf) + logger.debug(feat_conf) waveform, _ = load( file=audio_file, sr=feat_conf['sample_rate'], mono=True, dtype='float32') if isinstance(audio_file, (str, os.PathLike)): - logger.info("Preprocessing audio_file:" + audio_file) + logger.debug("Preprocessing audio_file:" + audio_file) # Feature extraction feature_extractor = LogMelSpectrogram( diff --git a/paddlespeech/cli/download.py b/paddlespeech/cli/download.py index ec7258747..5661f18f9 100644 --- a/paddlespeech/cli/download.py +++ b/paddlespeech/cli/download.py @@ -61,7 +61,7 @@ def _get_unique_endpoints(trainer_endpoints): continue ips.add(ip) unique_endpoints.add(endpoint) - logger.info("unique_endpoints {}".format(unique_endpoints)) + logger.debug("unique_endpoints {}".format(unique_endpoints)) return unique_endpoints @@ -96,7 +96,7 @@ def get_path_from_url(url, # data, and the same ip will only download data once. unique_endpoints = _get_unique_endpoints(ParallelEnv().trainer_endpoints[:]) if osp.exists(fullpath) and check_exist and _md5check(fullpath, md5sum): - logger.info("Found {}".format(fullpath)) + logger.debug("Found {}".format(fullpath)) else: if ParallelEnv().current_endpoint in unique_endpoints: fullpath = _download(url, root_dir, md5sum, method=method) @@ -118,7 +118,7 @@ def _get_download(url, fullname): try: req = requests.get(url, stream=True) except Exception as e: # requests.exceptions.ConnectionError - logger.info("Downloading {} from {} failed with exception {}".format( + logger.debug("Downloading {} from {} failed with exception {}".format( fname, url, str(e))) return False @@ -190,7 +190,7 @@ def _download(url, path, md5sum=None, method='get'): fullname = osp.join(path, fname) retry_cnt = 0 - logger.info("Downloading {} from {}".format(fname, url)) + logger.debug("Downloading {} from {}".format(fname, url)) while not (osp.exists(fullname) and _md5check(fullname, md5sum)): if retry_cnt < DOWNLOAD_RETRY_LIMIT: retry_cnt += 1 @@ -209,7 +209,7 @@ def _md5check(fullname, md5sum=None): if md5sum is None: return True - logger.info("File {} md5 checking...".format(fullname)) + logger.debug("File {} md5 checking...".format(fullname)) md5 = hashlib.md5() with open(fullname, 'rb') as f: for chunk in iter(lambda: f.read(4096), b""): @@ -217,8 +217,8 @@ def _md5check(fullname, md5sum=None): calc_md5sum = md5.hexdigest() if calc_md5sum != md5sum: - logger.info("File {} md5 check failed, {}(calc) != " - "{}(base)".format(fullname, calc_md5sum, md5sum)) + logger.debug("File {} md5 check failed, {}(calc) != " + "{}(base)".format(fullname, calc_md5sum, md5sum)) return False return True @@ -227,7 +227,7 @@ def _decompress(fname): """ Decompress for zip and tar file """ - logger.info("Decompressing {}...".format(fname)) + logger.debug("Decompressing {}...".format(fname)) # For protecting decompressing interupted, # decompress to fpath_tmp directory firstly, if decompress diff --git a/paddlespeech/cli/kws/infer.py b/paddlespeech/cli/kws/infer.py index e3f426f57..111cfd754 100644 --- a/paddlespeech/cli/kws/infer.py +++ b/paddlespeech/cli/kws/infer.py @@ -88,7 +88,7 @@ class KWSExecutor(BaseExecutor): Init model and other resources from a specific path. """ if hasattr(self, 'model'): - logger.info('Model had been initialized.') + logger.debug('Model had been initialized.') return if ckpt_path is None: @@ -141,7 +141,7 @@ class KWSExecutor(BaseExecutor): assert os.path.isfile(audio_file) waveform, _ = load(audio_file) if isinstance(audio_file, (str, os.PathLike)): - logger.info("Preprocessing audio_file:" + audio_file) + logger.debug("Preprocessing audio_file:" + audio_file) # Feature extraction waveform = paddle.to_tensor(waveform).unsqueeze(0) diff --git a/paddlespeech/cli/log.py b/paddlespeech/cli/log.py index 8644064c7..8b33e71e1 100644 --- a/paddlespeech/cli/log.py +++ b/paddlespeech/cli/log.py @@ -49,7 +49,7 @@ class Logger(object): self.handler.setFormatter(self.format) self.logger.addHandler(self.handler) - self.logger.setLevel(logging.DEBUG) + self.logger.setLevel(logging.INFO) self.logger.propagate = False def __call__(self, log_level: str, msg: str): diff --git a/paddlespeech/cli/st/infer.py b/paddlespeech/cli/st/infer.py index 4e099c402..bc2bdd1ac 100644 --- a/paddlespeech/cli/st/infer.py +++ b/paddlespeech/cli/st/infer.py @@ -110,7 +110,7 @@ class STExecutor(BaseExecutor): """ decompressed_path = download_and_decompress(self.kaldi_bins, MODEL_HOME) decompressed_path = os.path.abspath(decompressed_path) - logger.info("Kaldi_bins stored in: {}".format(decompressed_path)) + logger.debug("Kaldi_bins stored in: {}".format(decompressed_path)) if "LD_LIBRARY_PATH" in os.environ: os.environ["LD_LIBRARY_PATH"] += f":{decompressed_path}" else: @@ -128,7 +128,7 @@ class STExecutor(BaseExecutor): Init model and other resources from a specific path. """ if hasattr(self, 'model'): - logger.info('Model had been initialized.') + logger.debug('Model had been initialized.') return if cfg_path is None or ckpt_path is None: @@ -140,8 +140,8 @@ class STExecutor(BaseExecutor): self.ckpt_path = os.path.join( self.task_resource.res_dir, self.task_resource.res_dict['ckpt_path']) - logger.info(self.cfg_path) - logger.info(self.ckpt_path) + logger.debug(self.cfg_path) + logger.debug(self.ckpt_path) res_path = self.task_resource.res_dir else: self.cfg_path = os.path.abspath(cfg_path) @@ -192,7 +192,7 @@ class STExecutor(BaseExecutor): Input content can be a file(wav). """ audio_file = os.path.abspath(wav_file) - logger.info("Preprocess audio_file:" + audio_file) + logger.debug("Preprocess audio_file:" + audio_file) if "fat_st" in model_type: cmvn = self.config.cmvn_path diff --git a/paddlespeech/cli/text/infer.py b/paddlespeech/cli/text/infer.py index 7b8faf99c..24b8c9c25 100644 --- a/paddlespeech/cli/text/infer.py +++ b/paddlespeech/cli/text/infer.py @@ -98,7 +98,7 @@ class TextExecutor(BaseExecutor): Init model and other resources from a specific path. """ if hasattr(self, 'model'): - logger.info('Model had been initialized.') + logger.debug('Model had been initialized.') return self.task = task diff --git a/paddlespeech/cli/tts/infer.py b/paddlespeech/cli/tts/infer.py index 7c837761d..07c676e58 100644 --- a/paddlespeech/cli/tts/infer.py +++ b/paddlespeech/cli/tts/infer.py @@ -173,7 +173,7 @@ class TTSExecutor(BaseExecutor): Init model and other resources from a specific path. """ if hasattr(self, 'am_inference') and hasattr(self, 'voc_inference'): - logger.info('Models had been initialized.') + logger.debug('Models had been initialized.') return # am @@ -200,9 +200,9 @@ class TTSExecutor(BaseExecutor): # must have phones_dict in acoustic self.phones_dict = os.path.join( self.am_res_path, self.task_resource.res_dict['phones_dict']) - logger.info(self.am_res_path) - logger.info(self.am_config) - logger.info(self.am_ckpt) + logger.debug(self.am_res_path) + logger.debug(self.am_config) + logger.debug(self.am_ckpt) else: self.am_config = os.path.abspath(am_config) self.am_ckpt = os.path.abspath(am_ckpt) @@ -248,9 +248,9 @@ class TTSExecutor(BaseExecutor): self.voc_stat = os.path.join( self.voc_res_path, self.task_resource.voc_res_dict['speech_stats']) - logger.info(self.voc_res_path) - logger.info(self.voc_config) - logger.info(self.voc_ckpt) + logger.debug(self.voc_res_path) + logger.debug(self.voc_config) + logger.debug(self.voc_ckpt) else: self.voc_config = os.path.abspath(voc_config) self.voc_ckpt = os.path.abspath(voc_ckpt) diff --git a/paddlespeech/cli/vector/infer.py b/paddlespeech/cli/vector/infer.py index 4bc8e135a..48ca1f98d 100644 --- a/paddlespeech/cli/vector/infer.py +++ b/paddlespeech/cli/vector/infer.py @@ -117,7 +117,7 @@ class VectorExecutor(BaseExecutor): # stage 2: read the input data and store them as a list task_source = self.get_input_source(parser_args.input) - logger.info(f"task source: {task_source}") + logger.debug(f"task source: {task_source}") # stage 3: process the audio one by one # we do action according the task type @@ -127,13 +127,13 @@ class VectorExecutor(BaseExecutor): try: # extract the speaker audio embedding if parser_args.task == "spk": - logger.info("do vector spk task") + logger.debug("do vector spk task") res = self(input_, model, sample_rate, config, ckpt_path, device) task_result[id_] = res elif parser_args.task == "score": - logger.info("do vector score task") - logger.info(f"input content {input_}") + logger.debug("do vector score task") + logger.debug(f"input content {input_}") if len(input_.split()) != 2: logger.error( f"vector score task input {input_} wav num is not two," @@ -142,7 +142,7 @@ class VectorExecutor(BaseExecutor): # get the enroll and test embedding enroll_audio, test_audio = input_.split() - logger.info( + logger.debug( f"score task, enroll audio: {enroll_audio}, test audio: {test_audio}" ) enroll_embedding = self(enroll_audio, model, sample_rate, @@ -158,8 +158,8 @@ class VectorExecutor(BaseExecutor): has_exceptions = True task_result[id_] = f'{e.__class__.__name__}: {e}' - logger.info("task result as follows: ") - logger.info(f"{task_result}") + logger.debug("task result as follows: ") + logger.debug(f"{task_result}") # stage 4: process the all the task results self.process_task_results(parser_args.input, task_result, @@ -207,7 +207,7 @@ class VectorExecutor(BaseExecutor): """ if not hasattr(self, "score_func"): self.score_func = paddle.nn.CosineSimilarity(axis=0) - logger.info("create the cosine score function ") + logger.debug("create the cosine score function ") score = self.score_func( paddle.to_tensor(enroll_embedding), @@ -244,7 +244,7 @@ class VectorExecutor(BaseExecutor): sys.exit(-1) # stage 1: set the paddle runtime host device - logger.info(f"device type: {device}") + logger.debug(f"device type: {device}") paddle.device.set_device(device) # stage 2: read the specific pretrained model @@ -283,7 +283,7 @@ class VectorExecutor(BaseExecutor): # stage 0: avoid to init the mode again self.task = task if hasattr(self, "model"): - logger.info("Model has been initialized") + logger.debug("Model has been initialized") return # stage 1: get the model and config path @@ -294,7 +294,7 @@ class VectorExecutor(BaseExecutor): sample_rate_str = "16k" if sample_rate == 16000 else "8k" tag = model_type + "-" + sample_rate_str self.task_resource.set_task_model(tag, version=None) - logger.info(f"load the pretrained model: {tag}") + logger.debug(f"load the pretrained model: {tag}") # get the model from the pretrained list # we download the pretrained model and store it in the res_path self.res_path = self.task_resource.res_dir @@ -312,19 +312,19 @@ class VectorExecutor(BaseExecutor): self.res_path = os.path.dirname( os.path.dirname(os.path.abspath(self.cfg_path))) - logger.info(f"start to read the ckpt from {self.ckpt_path}") - logger.info(f"read the config from {self.cfg_path}") - logger.info(f"get the res path {self.res_path}") + logger.debug(f"start to read the ckpt from {self.ckpt_path}") + logger.debug(f"read the config from {self.cfg_path}") + logger.debug(f"get the res path {self.res_path}") # stage 2: read and config and init the model body self.config = CfgNode(new_allowed=True) self.config.merge_from_file(self.cfg_path) # stage 3: get the model name to instance the model network with dynamic_import - logger.info("start to dynamic import the model class") + logger.debug("start to dynamic import the model class") model_name = model_type[:model_type.rindex('_')] model_class = self.task_resource.get_model_class(model_name) - logger.info(f"model name {model_name}") + logger.debug(f"model name {model_name}") model_conf = self.config.model backbone = model_class(**model_conf) model = SpeakerIdetification( @@ -333,11 +333,11 @@ class VectorExecutor(BaseExecutor): self.model.eval() # stage 4: load the model parameters - logger.info("start to set the model parameters to model") + logger.debug("start to set the model parameters to model") model_dict = paddle.load(self.ckpt_path) self.model.set_state_dict(model_dict) - logger.info("create the model instance success") + logger.debug("create the model instance success") @paddle.no_grad() def infer(self, model_type: str): @@ -349,14 +349,14 @@ class VectorExecutor(BaseExecutor): # stage 0: get the feat and length from _inputs feats = self._inputs["feats"] lengths = self._inputs["lengths"] - logger.info("start to do backbone network model forward") - logger.info( + logger.debug("start to do backbone network model forward") + logger.debug( f"feats shape:{feats.shape}, lengths shape: {lengths.shape}") # stage 1: get the audio embedding # embedding from (1, emb_size, 1) -> (emb_size) embedding = self.model.backbone(feats, lengths).squeeze().numpy() - logger.info(f"embedding size: {embedding.shape}") + logger.debug(f"embedding size: {embedding.shape}") # stage 2: put the embedding and dim info to _outputs property # the embedding type is numpy.array @@ -380,12 +380,13 @@ class VectorExecutor(BaseExecutor): """ audio_file = input_file if isinstance(audio_file, (str, os.PathLike)): - logger.info(f"Preprocess audio file: {audio_file}") + logger.debug(f"Preprocess audio file: {audio_file}") # stage 1: load the audio sample points # Note: this process must match the training process waveform, sr = load_audio(audio_file) - logger.info(f"load the audio sample points, shape is: {waveform.shape}") + logger.debug( + f"load the audio sample points, shape is: {waveform.shape}") # stage 2: get the audio feat # Note: Now we only support fbank feature @@ -396,9 +397,9 @@ class VectorExecutor(BaseExecutor): n_mels=self.config.n_mels, window_size=self.config.window_size, hop_length=self.config.hop_size) - logger.info(f"extract the audio feat, shape is: {feat.shape}") + logger.debug(f"extract the audio feat, shape is: {feat.shape}") except Exception as e: - logger.info(f"feat occurs exception {e}") + logger.debug(f"feat occurs exception {e}") sys.exit(-1) feat = paddle.to_tensor(feat).unsqueeze(0) @@ -411,11 +412,11 @@ class VectorExecutor(BaseExecutor): # stage 4: store the feat and length in the _inputs, # which will be used in other function - logger.info(f"feats shape: {feat.shape}") + logger.debug(f"feats shape: {feat.shape}") self._inputs["feats"] = feat self._inputs["lengths"] = lengths - logger.info("audio extract the feat success") + logger.debug("audio extract the feat success") def _check(self, audio_file: str, sample_rate: int): """Check if the model sample match the audio sample rate @@ -441,7 +442,7 @@ class VectorExecutor(BaseExecutor): logger.error("Please input the right audio file path") return False - logger.info("checking the aduio file format......") + logger.debug("checking the aduio file format......") try: audio, audio_sample_rate = soundfile.read( audio_file, dtype="float32", always_2d=True) @@ -458,7 +459,7 @@ class VectorExecutor(BaseExecutor): ") return False - logger.info(f"The sample rate is {audio_sample_rate}") + logger.debug(f"The sample rate is {audio_sample_rate}") if audio_sample_rate != self.sample_rate: logger.error("The sample rate of the input file is not {}.\n \ @@ -468,6 +469,6 @@ class VectorExecutor(BaseExecutor): ".format(self.sample_rate, self.sample_rate)) sys.exit(-1) else: - logger.info("The audio file format is right") + logger.debug("The audio file format is right") return True diff --git a/paddlespeech/s2t/frontend/augmentor/spec_augment.py b/paddlespeech/s2t/frontend/augmentor/spec_augment.py index e91cfdce4..296129a94 100644 --- a/paddlespeech/s2t/frontend/augmentor/spec_augment.py +++ b/paddlespeech/s2t/frontend/augmentor/spec_augment.py @@ -16,7 +16,7 @@ import random import numpy as np from PIL import Image -from PIL.Image import BICUBIC +from PIL.Image import Resampling from paddlespeech.s2t.frontend.augmentor.base import AugmentorBase from paddlespeech.s2t.utils.log import Log @@ -164,9 +164,9 @@ class SpecAugmentor(AugmentorBase): window) + 1 # 1 ... t - 1 left = Image.fromarray(x[:center]).resize((x.shape[1], warped), - BICUBIC) + Resampling.BICUBIC) right = Image.fromarray(x[center:]).resize((x.shape[1], t - warped), - BICUBIC) + Resampling.BICUBIC) if self.inplace: x[:warped] = left x[warped:] = right diff --git a/paddlespeech/s2t/frontend/featurizer/text_featurizer.py b/paddlespeech/s2t/frontend/featurizer/text_featurizer.py index 0c0fa5e2f..982c6b8fe 100644 --- a/paddlespeech/s2t/frontend/featurizer/text_featurizer.py +++ b/paddlespeech/s2t/frontend/featurizer/text_featurizer.py @@ -226,10 +226,10 @@ class TextFeaturizer(): sos_id = vocab_list.index(SOS) if SOS in vocab_list else -1 space_id = vocab_list.index(SPACE) if SPACE in vocab_list else -1 - logger.info(f"BLANK id: {blank_id}") - logger.info(f"UNK id: {unk_id}") - logger.info(f"EOS id: {eos_id}") - logger.info(f"SOS id: {sos_id}") - logger.info(f"SPACE id: {space_id}") - logger.info(f"MASKCTC id: {maskctc_id}") + logger.debug(f"BLANK id: {blank_id}") + logger.debug(f"UNK id: {unk_id}") + logger.debug(f"EOS id: {eos_id}") + logger.debug(f"SOS id: {sos_id}") + logger.debug(f"SPACE id: {space_id}") + logger.debug(f"MASKCTC id: {maskctc_id}") return token2id, id2token, vocab_list, unk_id, eos_id, blank_id diff --git a/paddlespeech/s2t/models/u2/u2.py b/paddlespeech/s2t/models/u2/u2.py index b4b61666f..c9b6e2fbf 100644 --- a/paddlespeech/s2t/models/u2/u2.py +++ b/paddlespeech/s2t/models/u2/u2.py @@ -827,7 +827,7 @@ class U2Model(U2DecodeModel): # encoder encoder_type = configs.get('encoder', 'transformer') - logger.info(f"U2 Encoder type: {encoder_type}") + logger.debug(f"U2 Encoder type: {encoder_type}") if encoder_type == 'transformer': encoder = TransformerEncoder( input_dim, global_cmvn=global_cmvn, **configs['encoder_conf']) @@ -894,7 +894,7 @@ class U2Model(U2DecodeModel): if checkpoint_path: infos = checkpoint.Checkpoint().load_parameters( model, checkpoint_path=checkpoint_path) - logger.info(f"checkpoint info: {infos}") + logger.debug(f"checkpoint info: {infos}") layer_tools.summary(model) return model diff --git a/paddlespeech/s2t/modules/loss.py b/paddlespeech/s2t/modules/loss.py index c7d9bd45d..884fb70c1 100644 --- a/paddlespeech/s2t/modules/loss.py +++ b/paddlespeech/s2t/modules/loss.py @@ -37,9 +37,9 @@ class CTCLoss(nn.Layer): self.loss = nn.CTCLoss(blank=blank, reduction=reduction) self.batch_average = batch_average - logger.info( + logger.debug( f"CTCLoss Loss reduction: {reduction}, div-bs: {batch_average}") - logger.info(f"CTCLoss Grad Norm Type: {grad_norm_type}") + logger.debug(f"CTCLoss Grad Norm Type: {grad_norm_type}") assert grad_norm_type in ('instance', 'batch', 'frame', None) self.norm_by_times = False @@ -70,7 +70,8 @@ class CTCLoss(nn.Layer): param = {} self._kwargs = {k: v for k, v in kwargs.items() if k in param} _notin = {k: v for k, v in kwargs.items() if k not in param} - logger.info(f"{self.loss} kwargs:{self._kwargs}, not support: {_notin}") + logger.debug( + f"{self.loss} kwargs:{self._kwargs}, not support: {_notin}") def forward(self, logits, ys_pad, hlens, ys_lens): """Compute CTC loss. diff --git a/paddlespeech/s2t/transform/spec_augment.py b/paddlespeech/s2t/transform/spec_augment.py index 5ce950851..fe24a4161 100644 --- a/paddlespeech/s2t/transform/spec_augment.py +++ b/paddlespeech/s2t/transform/spec_augment.py @@ -17,7 +17,7 @@ import random import numpy from PIL import Image -from PIL.Image import BICUBIC +from PIL.Image import Resampling from paddlespeech.s2t.transform.functional import FuncTrans @@ -46,9 +46,10 @@ def time_warp(x, max_time_warp=80, inplace=False, mode="PIL"): warped = random.randrange(center - window, center + window) + 1 # 1 ... t - 1 - left = Image.fromarray(x[:center]).resize((x.shape[1], warped), BICUBIC) + left = Image.fromarray(x[:center]).resize((x.shape[1], warped), + Resampling.BICUBIC) right = Image.fromarray(x[center:]).resize((x.shape[1], t - warped), - BICUBIC) + Resampling.BICUBIC) if inplace: x[:warped] = left x[warped:] = right diff --git a/paddlespeech/s2t/utils/tensor_utils.py b/paddlespeech/s2t/utils/tensor_utils.py index f9a843ea1..422d4f82a 100644 --- a/paddlespeech/s2t/utils/tensor_utils.py +++ b/paddlespeech/s2t/utils/tensor_utils.py @@ -94,7 +94,7 @@ def pad_sequence(sequences: List[paddle.Tensor], for i, tensor in enumerate(sequences): length = tensor.shape[0] # use index notation to prevent duplicate references to the tensor - logger.info( + logger.debug( f"length {length}, out_tensor {out_tensor.shape}, tensor {tensor.shape}" ) if batch_first: From 496e2dd14b56be3ce6a14854c970fd3bdcf0ef2d Mon Sep 17 00:00:00 2001 From: TianYuan Date: Fri, 1 Jul 2022 09:14:22 +0000 Subject: [PATCH 064/192] fix Pillow's version --- docs/requirements.txt | 1 + paddlespeech/s2t/frontend/augmentor/spec_augment.py | 5 ++--- paddlespeech/s2t/transform/spec_augment.py | 6 ++---- setup.py | 2 +- 4 files changed, 6 insertions(+), 8 deletions(-) diff --git a/docs/requirements.txt b/docs/requirements.txt index a5409a544..08a049c1b 100644 --- a/docs/requirements.txt +++ b/docs/requirements.txt @@ -22,6 +22,7 @@ onnxruntime pandas paddlenlp paddlespeech_feat +Pillow>=9.0.0 praatio==5.0.0 pypinyin pypinyin-dict diff --git a/paddlespeech/s2t/frontend/augmentor/spec_augment.py b/paddlespeech/s2t/frontend/augmentor/spec_augment.py index 296129a94..380712851 100644 --- a/paddlespeech/s2t/frontend/augmentor/spec_augment.py +++ b/paddlespeech/s2t/frontend/augmentor/spec_augment.py @@ -16,7 +16,6 @@ import random import numpy as np from PIL import Image -from PIL.Image import Resampling from paddlespeech.s2t.frontend.augmentor.base import AugmentorBase from paddlespeech.s2t.utils.log import Log @@ -164,9 +163,9 @@ class SpecAugmentor(AugmentorBase): window) + 1 # 1 ... t - 1 left = Image.fromarray(x[:center]).resize((x.shape[1], warped), - Resampling.BICUBIC) + Image.BICUBIC) right = Image.fromarray(x[center:]).resize((x.shape[1], t - warped), - Resampling.BICUBIC) + Image.BICUBIC) if self.inplace: x[:warped] = left x[warped:] = right diff --git a/paddlespeech/s2t/transform/spec_augment.py b/paddlespeech/s2t/transform/spec_augment.py index fe24a4161..7b3485b1c 100644 --- a/paddlespeech/s2t/transform/spec_augment.py +++ b/paddlespeech/s2t/transform/spec_augment.py @@ -14,10 +14,8 @@ # Modified from espnet(https://github.com/espnet/espnet) """Spec Augment module for preprocessing i.e., data augmentation""" import random - import numpy from PIL import Image -from PIL.Image import Resampling from paddlespeech.s2t.transform.functional import FuncTrans @@ -47,9 +45,9 @@ def time_warp(x, max_time_warp=80, inplace=False, mode="PIL"): window) + 1 # 1 ... t - 1 left = Image.fromarray(x[:center]).resize((x.shape[1], warped), - Resampling.BICUBIC) + Image.BICUBIC) right = Image.fromarray(x[center:]).resize((x.shape[1], t - warped), - Resampling.BICUBIC) + Image.BICUBIC) if inplace: x[:warped] = left x[warped:] = right diff --git a/setup.py b/setup.py index 716c03bc5..d00b469be 100644 --- a/setup.py +++ b/setup.py @@ -48,6 +48,7 @@ base = [ "pandas", "paddlenlp", "paddlespeech_feat", + "Pillow>=9.0.0" "praatio==5.0.0", "pypinyin", "pypinyin-dict", @@ -87,7 +88,6 @@ requirements = { "gpustat", "paddlespeech_ctcdecoders", "phkit", - "Pillow", "pybind11", "pypi-kenlm", "snakeviz", From 4b1f82d312bd2ebbda26a8818b16efe65183ca01 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Mon, 4 Jul 2022 05:54:02 +0000 Subject: [PATCH 065/192] log redundancy in server --- paddlespeech/cli/tts/infer.py | 2 +- .../server/bin/paddlespeech_client.py | 2 - .../server/engine/acs/python/acs_engine.py | 20 +++-- .../engine/asr/online/onnx/asr_engine.py | 44 +++++----- .../asr/online/paddleinference/asr_engine.py | 48 ++++++----- .../engine/asr/online/python/asr_engine.py | 86 ++++++++++--------- .../engine/asr/paddleinference/asr_engine.py | 14 +-- .../server/engine/asr/python/asr_engine.py | 4 +- .../engine/cls/paddleinference/cls_engine.py | 21 ++--- .../server/engine/cls/python/cls_engine.py | 4 +- paddlespeech/server/engine/engine_warmup.py | 6 +- .../server/engine/text/python/text_engine.py | 11 +-- .../engine/tts/online/onnx/tts_engine.py | 26 +++--- .../engine/tts/online/python/tts_engine.py | 24 ++---- .../engine/tts/paddleinference/tts_engine.py | 57 ++++++------ .../server/engine/tts/python/tts_engine.py | 26 +++--- .../engine/vector/python/vector_engine.py | 31 ++++--- paddlespeech/server/utils/audio_handler.py | 11 ++- paddlespeech/server/utils/audio_process.py | 2 +- paddlespeech/server/utils/onnx_infer.py | 4 +- paddlespeech/server/utils/util.py | 6 +- 21 files changed, 226 insertions(+), 223 deletions(-) diff --git a/paddlespeech/cli/tts/infer.py b/paddlespeech/cli/tts/infer.py index 07c676e58..ade8cdd6d 100644 --- a/paddlespeech/cli/tts/infer.py +++ b/paddlespeech/cli/tts/infer.py @@ -382,7 +382,7 @@ class TTSExecutor(BaseExecutor): text, merge_sentences=merge_sentences) phone_ids = input_ids["phone_ids"] else: - print("lang should in {'zh', 'en'}!") + logger.error("lang should in {'zh', 'en'}!") self.frontend_time = time.time() - frontend_st self.am_time = 0 diff --git a/paddlespeech/server/bin/paddlespeech_client.py b/paddlespeech/server/bin/paddlespeech_client.py index fb521b309..bd1186dfb 100644 --- a/paddlespeech/server/bin/paddlespeech_client.py +++ b/paddlespeech/server/bin/paddlespeech_client.py @@ -123,7 +123,6 @@ class TTSClientExecutor(BaseExecutor): time_end = time.time() time_consume = time_end - time_start response_dict = res.json() - logger.info(response_dict["message"]) logger.info("Save synthesized audio successfully on %s." % (output)) logger.info("Audio duration: %f s." % (response_dict['result']['duration'])) @@ -702,7 +701,6 @@ class VectorClientExecutor(BaseExecutor): test_audio=args.test, task=task) time_end = time.time() - logger.info(f"The vector: {res}") logger.info("Response time %f s." % (time_end - time_start)) return True except Exception as e: diff --git a/paddlespeech/server/engine/acs/python/acs_engine.py b/paddlespeech/server/engine/acs/python/acs_engine.py index 930101ac9..63964a825 100644 --- a/paddlespeech/server/engine/acs/python/acs_engine.py +++ b/paddlespeech/server/engine/acs/python/acs_engine.py @@ -30,7 +30,7 @@ class ACSEngine(BaseEngine): """The ACSEngine Engine """ super(ACSEngine, self).__init__() - logger.info("Create the ACSEngine Instance") + logger.debug("Create the ACSEngine Instance") self.word_list = [] def init(self, config: dict): @@ -42,7 +42,7 @@ class ACSEngine(BaseEngine): Returns: bool: The engine instance flag """ - logger.info("Init the acs engine") + logger.debug("Init the acs engine") try: self.config = config self.device = self.config.get("device", paddle.get_device()) @@ -50,7 +50,7 @@ class ACSEngine(BaseEngine): # websocket default ping timeout is 20 seconds self.ping_timeout = self.config.get("ping_timeout", 20) paddle.set_device(self.device) - logger.info(f"ACS Engine set the device: {self.device}") + logger.debug(f"ACS Engine set the device: {self.device}") except BaseException as e: logger.error( @@ -66,7 +66,9 @@ class ACSEngine(BaseEngine): self.url = "ws://" + self.config.asr_server_ip + ":" + str( self.config.asr_server_port) + "/paddlespeech/asr/streaming" - logger.info("Init the acs engine successfully") + logger.info("Initialize acs server engine successfully on device: %s." % + (self.device)) + return True def read_search_words(self): @@ -95,12 +97,12 @@ class ACSEngine(BaseEngine): Returns: _type_: _description_ """ - logger.info("send a message to the server") + logger.debug("send a message to the server") if self.url is None: logger.error("No asr server, please input valid ip and port") return "" ws = websocket.WebSocket() - logger.info(f"set the ping timeout: {self.ping_timeout} seconds") + logger.debug(f"set the ping timeout: {self.ping_timeout} seconds") ws.connect(self.url, ping_timeout=self.ping_timeout) audio_info = json.dumps( { @@ -123,7 +125,7 @@ class ACSEngine(BaseEngine): logger.info(f"audio result: {msg}") # 3. send chunk audio data to engine - logger.info("send the end signal") + logger.debug("send the end signal") audio_info = json.dumps( { "name": "test.wav", @@ -197,7 +199,7 @@ class ACSEngine(BaseEngine): start = max(time_stamp[m.start(0)]['bg'] - offset, 0) end = min(time_stamp[m.end(0) - 1]['ed'] + offset, max_ed) - logger.info(f'start: {start}, end: {end}') + logger.debug(f'start: {start}, end: {end}') acs_result.append({'w': w, 'bg': start, 'ed': end}) return acs_result, asr_result @@ -212,7 +214,7 @@ class ACSEngine(BaseEngine): Returns: acs_result, asr_result: the acs result and the asr result """ - logger.info("start to process the audio content search") + logger.debug("start to process the audio content search") msg = self.get_asr_content(io.BytesIO(audio_data)) acs_result, asr_result = self.get_macthed_word(msg) diff --git a/paddlespeech/server/engine/asr/online/onnx/asr_engine.py b/paddlespeech/server/engine/asr/online/onnx/asr_engine.py index 067931643..9ec7bb5a0 100644 --- a/paddlespeech/server/engine/asr/online/onnx/asr_engine.py +++ b/paddlespeech/server/engine/asr/online/onnx/asr_engine.py @@ -44,7 +44,7 @@ class PaddleASRConnectionHanddler: asr_engine (ASREngine): the global asr engine """ super().__init__() - logger.info( + logger.debug( "create an paddle asr connection handler to process the websocket connection" ) self.config = asr_engine.config # server config @@ -152,12 +152,12 @@ class PaddleASRConnectionHanddler: self.output_reset() def extract_feat(self, samples: ByteString): - logger.info("Online ASR extract the feat") + logger.debug("Online ASR extract the feat") samples = np.frombuffer(samples, dtype=np.int16) assert samples.ndim == 1 self.num_samples += samples.shape[0] - logger.info( + logger.debug( f"This package receive {samples.shape[0]} pcm data. Global samples:{self.num_samples}" ) @@ -168,7 +168,7 @@ class PaddleASRConnectionHanddler: else: assert self.remained_wav.ndim == 1 # (T,) self.remained_wav = np.concatenate([self.remained_wav, samples]) - logger.info( + logger.debug( f"The concatenation of remain and now audio samples length is: {self.remained_wav.shape}" ) @@ -202,14 +202,14 @@ class PaddleASRConnectionHanddler: # update remained wav self.remained_wav = self.remained_wav[self.n_shift * num_frames:] - logger.info( + logger.debug( f"process the audio feature success, the cached feat shape: {self.cached_feat.shape}" ) - logger.info( + logger.debug( f"After extract feat, the cached remain the audio samples: {self.remained_wav.shape}" ) - logger.info(f"global samples: {self.num_samples}") - logger.info(f"global frames: {self.num_frames}") + logger.debug(f"global samples: {self.num_samples}") + logger.debug(f"global frames: {self.num_frames}") def decode(self, is_finished=False): """advance decoding @@ -237,7 +237,7 @@ class PaddleASRConnectionHanddler: return num_frames = self.cached_feat.shape[1] - logger.info( + logger.debug( f"Required decoding window {decoding_window} frames, and the connection has {num_frames} frames" ) @@ -355,7 +355,7 @@ class ASRServerExecutor(ASRExecutor): lm_url = self.task_resource.res_dict['lm_url'] lm_md5 = self.task_resource.res_dict['lm_md5'] - logger.info(f"Start to load language model {lm_url}") + logger.debug(f"Start to load language model {lm_url}") self.download_lm( lm_url, os.path.dirname(self.config.decode.lang_model_path), lm_md5) @@ -367,7 +367,7 @@ class ASRServerExecutor(ASRExecutor): if "deepspeech2" in self.model_type: # AM predictor - logger.info("ASR engine start to init the am predictor") + logger.debug("ASR engine start to init the am predictor") self.am_predictor = onnx_infer.get_sess( model_path=self.am_model, sess_conf=self.am_predictor_conf) else: @@ -400,7 +400,7 @@ class ASRServerExecutor(ASRExecutor): self.num_decoding_left_chunks = num_decoding_left_chunks # conf for paddleinference predictor or onnx self.am_predictor_conf = am_predictor_conf - logger.info(f"model_type: {self.model_type}") + logger.debug(f"model_type: {self.model_type}") sample_rate_str = '16k' if sample_rate == 16000 else '8k' tag = model_type + '-' + lang + '-' + sample_rate_str @@ -422,12 +422,11 @@ class ASRServerExecutor(ASRExecutor): # self.res_path, self.task_resource.res_dict[ # 'params']) if am_params is None else os.path.abspath(am_params) - logger.info("Load the pretrained model:") - logger.info(f" tag = {tag}") - logger.info(f" res_path: {self.res_path}") - logger.info(f" cfg path: {self.cfg_path}") - logger.info(f" am_model path: {self.am_model}") - # logger.info(f" am_params path: {self.am_params}") + logger.debug("Load the pretrained model:") + logger.debug(f" tag = {tag}") + logger.debug(f" res_path: {self.res_path}") + logger.debug(f" cfg path: {self.cfg_path}") + logger.debug(f" am_model path: {self.am_model}") #Init body. self.config = CfgNode(new_allowed=True) @@ -436,7 +435,7 @@ class ASRServerExecutor(ASRExecutor): if self.config.spm_model_prefix: self.config.spm_model_prefix = os.path.join( self.res_path, self.config.spm_model_prefix) - logger.info(f"spm model path: {self.config.spm_model_prefix}") + logger.debug(f"spm model path: {self.config.spm_model_prefix}") self.vocab = self.config.vocab_filepath @@ -450,7 +449,7 @@ class ASRServerExecutor(ASRExecutor): # AM predictor self.init_model() - logger.info(f"create the {model_type} model success") + logger.debug(f"create the {model_type} model success") return True @@ -501,7 +500,7 @@ class ASREngine(BaseEngine): "If all GPU or XPU is used, you can set the server to 'cpu'") sys.exit(-1) - logger.info(f"paddlespeech_server set the device: {self.device}") + logger.debug(f"paddlespeech_server set the device: {self.device}") if not self.init_model(): logger.error( @@ -509,7 +508,8 @@ class ASREngine(BaseEngine): ) return False - logger.info("Initialize ASR server engine successfully.") + logger.info("Initialize ASR server engine successfully on device: %s." % + (self.device)) return True def new_handler(self): diff --git a/paddlespeech/server/engine/asr/online/paddleinference/asr_engine.py b/paddlespeech/server/engine/asr/online/paddleinference/asr_engine.py index efb726aaf..1f0a8b80a 100644 --- a/paddlespeech/server/engine/asr/online/paddleinference/asr_engine.py +++ b/paddlespeech/server/engine/asr/online/paddleinference/asr_engine.py @@ -44,7 +44,7 @@ class PaddleASRConnectionHanddler: asr_engine (ASREngine): the global asr engine """ super().__init__() - logger.info( + logger.debug( "create an paddle asr connection handler to process the websocket connection" ) self.config = asr_engine.config # server config @@ -157,7 +157,7 @@ class PaddleASRConnectionHanddler: assert samples.ndim == 1 self.num_samples += samples.shape[0] - logger.info( + logger.debug( f"This package receive {samples.shape[0]} pcm data. Global samples:{self.num_samples}" ) @@ -168,7 +168,7 @@ class PaddleASRConnectionHanddler: else: assert self.remained_wav.ndim == 1 # (T,) self.remained_wav = np.concatenate([self.remained_wav, samples]) - logger.info( + logger.debug( f"The concatenation of remain and now audio samples length is: {self.remained_wav.shape}" ) @@ -202,14 +202,14 @@ class PaddleASRConnectionHanddler: # update remained wav self.remained_wav = self.remained_wav[self.n_shift * num_frames:] - logger.info( + logger.debug( f"process the audio feature success, the cached feat shape: {self.cached_feat.shape}" ) - logger.info( + logger.debug( f"After extract feat, the cached remain the audio samples: {self.remained_wav.shape}" ) - logger.info(f"global samples: {self.num_samples}") - logger.info(f"global frames: {self.num_frames}") + logger.debug(f"global samples: {self.num_samples}") + logger.debug(f"global frames: {self.num_frames}") def decode(self, is_finished=False): """advance decoding @@ -237,13 +237,13 @@ class PaddleASRConnectionHanddler: return num_frames = self.cached_feat.shape[1] - logger.info( + logger.debug( f"Required decoding window {decoding_window} frames, and the connection has {num_frames} frames" ) # the cached feat must be larger decoding_window if num_frames < decoding_window and not is_finished: - logger.info( + logger.debug( f"frame feat num is less than {decoding_window}, please input more pcm data" ) return None, None @@ -294,7 +294,7 @@ class PaddleASRConnectionHanddler: Returns: logprob: poster probability. """ - logger.info("start to decoce one chunk for deepspeech2") + logger.debug("start to decoce one chunk for deepspeech2") input_names = self.am_predictor.get_input_names() audio_handle = self.am_predictor.get_input_handle(input_names[0]) audio_len_handle = self.am_predictor.get_input_handle(input_names[1]) @@ -369,7 +369,7 @@ class ASRServerExecutor(ASRExecutor): lm_url = self.task_resource.res_dict['lm_url'] lm_md5 = self.task_resource.res_dict['lm_md5'] - logger.info(f"Start to load language model {lm_url}") + logger.debug(f"Start to load language model {lm_url}") self.download_lm( lm_url, os.path.dirname(self.config.decode.lang_model_path), lm_md5) @@ -381,7 +381,7 @@ class ASRServerExecutor(ASRExecutor): if "deepspeech2" in self.model_type: # AM predictor - logger.info("ASR engine start to init the am predictor") + logger.debug("ASR engine start to init the am predictor") self.am_predictor = init_predictor( model_file=self.am_model, params_file=self.am_params, @@ -415,7 +415,7 @@ class ASRServerExecutor(ASRExecutor): self.num_decoding_left_chunks = num_decoding_left_chunks # conf for paddleinference predictor or onnx self.am_predictor_conf = am_predictor_conf - logger.info(f"model_type: {self.model_type}") + logger.debug(f"model_type: {self.model_type}") sample_rate_str = '16k' if sample_rate == 16000 else '8k' tag = model_type + '-' + lang + '-' + sample_rate_str @@ -437,12 +437,12 @@ class ASRServerExecutor(ASRExecutor): self.res_path = os.path.dirname( os.path.dirname(os.path.abspath(self.cfg_path))) - logger.info("Load the pretrained model:") - logger.info(f" tag = {tag}") - logger.info(f" res_path: {self.res_path}") - logger.info(f" cfg path: {self.cfg_path}") - logger.info(f" am_model path: {self.am_model}") - logger.info(f" am_params path: {self.am_params}") + logger.debug("Load the pretrained model:") + logger.debug(f" tag = {tag}") + logger.debug(f" res_path: {self.res_path}") + logger.debug(f" cfg path: {self.cfg_path}") + logger.debug(f" am_model path: {self.am_model}") + logger.debug(f" am_params path: {self.am_params}") #Init body. self.config = CfgNode(new_allowed=True) @@ -451,7 +451,7 @@ class ASRServerExecutor(ASRExecutor): if self.config.spm_model_prefix: self.config.spm_model_prefix = os.path.join( self.res_path, self.config.spm_model_prefix) - logger.info(f"spm model path: {self.config.spm_model_prefix}") + logger.debug(f"spm model path: {self.config.spm_model_prefix}") self.vocab = self.config.vocab_filepath @@ -465,7 +465,7 @@ class ASRServerExecutor(ASRExecutor): # AM predictor self.init_model() - logger.info(f"create the {model_type} model success") + logger.debug(f"create the {model_type} model success") return True @@ -516,7 +516,7 @@ class ASREngine(BaseEngine): "If all GPU or XPU is used, you can set the server to 'cpu'") sys.exit(-1) - logger.info(f"paddlespeech_server set the device: {self.device}") + logger.debug(f"paddlespeech_server set the device: {self.device}") if not self.init_model(): logger.error( @@ -524,7 +524,9 @@ class ASREngine(BaseEngine): ) return False - logger.info("Initialize ASR server engine successfully.") + logger.info("Initialize ASR server engine successfully on device: %s." % + (self.device)) + return True def new_handler(self): diff --git a/paddlespeech/server/engine/asr/online/python/asr_engine.py b/paddlespeech/server/engine/asr/online/python/asr_engine.py index daa9fc500..b3472a83a 100644 --- a/paddlespeech/server/engine/asr/online/python/asr_engine.py +++ b/paddlespeech/server/engine/asr/online/python/asr_engine.py @@ -49,7 +49,7 @@ class PaddleASRConnectionHanddler: asr_engine (ASREngine): the global asr engine """ super().__init__() - logger.info( + logger.debug( "create an paddle asr connection handler to process the websocket connection" ) self.config = asr_engine.config # server config @@ -107,7 +107,7 @@ class PaddleASRConnectionHanddler: # acoustic model self.model = self.asr_engine.executor.model self.continuous_decoding = self.config.continuous_decoding - logger.info(f"continue decoding: {self.continuous_decoding}") + logger.debug(f"continue decoding: {self.continuous_decoding}") # ctc decoding config self.ctc_decode_config = self.asr_engine.executor.config.decode @@ -207,7 +207,7 @@ class PaddleASRConnectionHanddler: assert samples.ndim == 1 self.num_samples += samples.shape[0] - logger.info( + logger.debug( f"This package receive {samples.shape[0]} pcm data. Global samples:{self.num_samples}" ) @@ -218,7 +218,7 @@ class PaddleASRConnectionHanddler: else: assert self.remained_wav.ndim == 1 # (T,) self.remained_wav = np.concatenate([self.remained_wav, samples]) - logger.info( + logger.debug( f"The concatenation of remain and now audio samples length is: {self.remained_wav.shape}" ) @@ -252,14 +252,14 @@ class PaddleASRConnectionHanddler: # update remained wav self.remained_wav = self.remained_wav[self.n_shift * num_frames:] - logger.info( + logger.debug( f"process the audio feature success, the cached feat shape: {self.cached_feat.shape}" ) - logger.info( + logger.debug( f"After extract feat, the cached remain the audio samples: {self.remained_wav.shape}" ) - logger.info(f"global samples: {self.num_samples}") - logger.info(f"global frames: {self.num_frames}") + logger.debug(f"global samples: {self.num_samples}") + logger.debug(f"global frames: {self.num_frames}") def decode(self, is_finished=False): """advance decoding @@ -283,24 +283,24 @@ class PaddleASRConnectionHanddler: stride = subsampling * decoding_chunk_size if self.cached_feat is None: - logger.info("no audio feat, please input more pcm data") + logger.debug("no audio feat, please input more pcm data") return num_frames = self.cached_feat.shape[1] - logger.info( + logger.debug( f"Required decoding window {decoding_window} frames, and the connection has {num_frames} frames" ) # the cached feat must be larger decoding_window if num_frames < decoding_window and not is_finished: - logger.info( + logger.debug( f"frame feat num is less than {decoding_window}, please input more pcm data" ) return None, None # if is_finished=True, we need at least context frames if num_frames < context: - logger.info( + logger.debug( "flast {num_frames} is less than context {context} frames, and we cannot do model forward" ) return None, None @@ -354,7 +354,7 @@ class PaddleASRConnectionHanddler: Returns: logprob: poster probability. """ - logger.info("start to decoce one chunk for deepspeech2") + logger.debug("start to decoce one chunk for deepspeech2") input_names = self.am_predictor.get_input_names() audio_handle = self.am_predictor.get_input_handle(input_names[0]) audio_len_handle = self.am_predictor.get_input_handle(input_names[1]) @@ -391,7 +391,7 @@ class PaddleASRConnectionHanddler: self.decoder.next(output_chunk_probs, output_chunk_lens) trans_best, trans_beam = self.decoder.decode() - logger.info(f"decode one best result for deepspeech2: {trans_best[0]}") + logger.debug(f"decode one best result for deepspeech2: {trans_best[0]}") return trans_best[0] @paddle.no_grad() @@ -402,7 +402,7 @@ class PaddleASRConnectionHanddler: # reset endpiont state self.endpoint_state = False - logger.info( + logger.debug( "Conformer/Transformer: start to decode with advanced_decoding method" ) cfg = self.ctc_decode_config @@ -427,25 +427,25 @@ class PaddleASRConnectionHanddler: stride = subsampling * decoding_chunk_size if self.cached_feat is None: - logger.info("no audio feat, please input more pcm data") + logger.debug("no audio feat, please input more pcm data") return # (B=1,T,D) num_frames = self.cached_feat.shape[1] - logger.info( + logger.debug( f"Required decoding window {decoding_window} frames, and the connection has {num_frames} frames" ) # the cached feat must be larger decoding_window if num_frames < decoding_window and not is_finished: - logger.info( + logger.debug( f"frame feat num is less than {decoding_window}, please input more pcm data" ) return None, None # if is_finished=True, we need at least context frames if num_frames < context: - logger.info( + logger.debug( "flast {num_frames} is less than context {context} frames, and we cannot do model forward" ) return None, None @@ -489,7 +489,7 @@ class PaddleASRConnectionHanddler: self.encoder_out = ys else: self.encoder_out = paddle.concat([self.encoder_out, ys], axis=1) - logger.info( + logger.debug( f"This connection handler encoder out shape: {self.encoder_out.shape}" ) @@ -513,7 +513,8 @@ class PaddleASRConnectionHanddler: if self.endpointer.endpoint_detected(ctc_probs.numpy(), decoding_something): self.endpoint_state = True - logger.info(f"Endpoint is detected at {self.num_frames} frame.") + logger.debug( + f"Endpoint is detected at {self.num_frames} frame.") # advance cache of feat assert self.cached_feat.shape[0] == 1 #(B=1,T,D) @@ -526,7 +527,7 @@ class PaddleASRConnectionHanddler: def update_result(self): """Conformer/Transformer hyps to result. """ - logger.info("update the final result") + logger.debug("update the final result") hyps = self.hyps # output results and tokenids @@ -560,16 +561,16 @@ class PaddleASRConnectionHanddler: only for conformer and transformer model. """ if "deepspeech2" in self.model_type: - logger.info("deepspeech2 not support rescoring decoding.") + logger.debug("deepspeech2 not support rescoring decoding.") return if "attention_rescoring" != self.ctc_decode_config.decoding_method: - logger.info( + logger.debug( f"decoding method not match: {self.ctc_decode_config.decoding_method}, need attention_rescoring" ) return - logger.info("rescoring the final result") + logger.debug("rescoring the final result") # last decoding for last audio self.searcher.finalize_search() @@ -685,7 +686,6 @@ class PaddleASRConnectionHanddler: "bg": global_offset_in_sec + start, "ed": global_offset_in_sec + end }) - # logger.info(f"{word_time_stamp[-1]}") self.word_time_stamp = word_time_stamp logger.info(f"word time stamp: {self.word_time_stamp}") @@ -707,13 +707,13 @@ class ASRServerExecutor(ASRExecutor): lm_url = self.task_resource.res_dict['lm_url'] lm_md5 = self.task_resource.res_dict['lm_md5'] - logger.info(f"Start to load language model {lm_url}") + logger.debug(f"Start to load language model {lm_url}") self.download_lm( lm_url, os.path.dirname(self.config.decode.lang_model_path), lm_md5) elif "conformer" in self.model_type or "transformer" in self.model_type: with UpdateConfig(self.config): - logger.info("start to create the stream conformer asr engine") + logger.debug("start to create the stream conformer asr engine") # update the decoding method if self.decode_method: self.config.decode.decoding_method = self.decode_method @@ -726,7 +726,7 @@ class ASRServerExecutor(ASRExecutor): if self.config.decode.decoding_method not in [ "ctc_prefix_beam_search", "attention_rescoring" ]: - logger.info( + logger.debug( "we set the decoding_method to attention_rescoring") self.config.decode.decoding_method = "attention_rescoring" @@ -739,7 +739,7 @@ class ASRServerExecutor(ASRExecutor): def init_model(self) -> None: if "deepspeech2" in self.model_type: # AM predictor - logger.info("ASR engine start to init the am predictor") + logger.debug("ASR engine start to init the am predictor") self.am_predictor = init_predictor( model_file=self.am_model, params_file=self.am_params, @@ -748,7 +748,7 @@ class ASRServerExecutor(ASRExecutor): # load model # model_type: {model_name}_{dataset} model_name = self.model_type[:self.model_type.rindex('_')] - logger.info(f"model name: {model_name}") + logger.debug(f"model name: {model_name}") model_class = self.task_resource.get_model_class(model_name) model = model_class.from_config(self.config) self.model = model @@ -782,7 +782,7 @@ class ASRServerExecutor(ASRExecutor): self.num_decoding_left_chunks = num_decoding_left_chunks # conf for paddleinference predictor or onnx self.am_predictor_conf = am_predictor_conf - logger.info(f"model_type: {self.model_type}") + logger.debug(f"model_type: {self.model_type}") sample_rate_str = '16k' if sample_rate == 16000 else '8k' tag = model_type + '-' + lang + '-' + sample_rate_str @@ -804,12 +804,12 @@ class ASRServerExecutor(ASRExecutor): self.res_path = os.path.dirname( os.path.dirname(os.path.abspath(self.cfg_path))) - logger.info("Load the pretrained model:") - logger.info(f" tag = {tag}") - logger.info(f" res_path: {self.res_path}") - logger.info(f" cfg path: {self.cfg_path}") - logger.info(f" am_model path: {self.am_model}") - logger.info(f" am_params path: {self.am_params}") + logger.debug("Load the pretrained model:") + logger.debug(f" tag = {tag}") + logger.debug(f" res_path: {self.res_path}") + logger.debug(f" cfg path: {self.cfg_path}") + logger.debug(f" am_model path: {self.am_model}") + logger.debug(f" am_params path: {self.am_params}") #Init body. self.config = CfgNode(new_allowed=True) @@ -818,7 +818,7 @@ class ASRServerExecutor(ASRExecutor): if self.config.spm_model_prefix: self.config.spm_model_prefix = os.path.join( self.res_path, self.config.spm_model_prefix) - logger.info(f"spm model path: {self.config.spm_model_prefix}") + logger.debug(f"spm model path: {self.config.spm_model_prefix}") self.vocab = self.config.vocab_filepath @@ -832,7 +832,7 @@ class ASRServerExecutor(ASRExecutor): # AM predictor self.init_model() - logger.info(f"create the {model_type} model success") + logger.debug(f"create the {model_type} model success") return True @@ -883,7 +883,7 @@ class ASREngine(BaseEngine): "If all GPU or XPU is used, you can set the server to 'cpu'") sys.exit(-1) - logger.info(f"paddlespeech_server set the device: {self.device}") + logger.debug(f"paddlespeech_server set the device: {self.device}") if not self.init_model(): logger.error( @@ -891,7 +891,9 @@ class ASREngine(BaseEngine): ) return False - logger.info("Initialize ASR server engine successfully.") + logger.info("Initialize ASR server engine successfully on device: %s." % + (self.device)) + return True def new_handler(self): diff --git a/paddlespeech/server/engine/asr/paddleinference/asr_engine.py b/paddlespeech/server/engine/asr/paddleinference/asr_engine.py index 572004eb8..6df666ce8 100644 --- a/paddlespeech/server/engine/asr/paddleinference/asr_engine.py +++ b/paddlespeech/server/engine/asr/paddleinference/asr_engine.py @@ -65,10 +65,10 @@ class ASRServerExecutor(ASRExecutor): self.task_resource.res_dict['model']) self.am_params = os.path.join(self.res_path, self.task_resource.res_dict['params']) - logger.info(self.res_path) - logger.info(self.cfg_path) - logger.info(self.am_model) - logger.info(self.am_params) + logger.debug(self.res_path) + logger.debug(self.cfg_path) + logger.debug(self.am_model) + logger.debug(self.am_params) else: self.cfg_path = os.path.abspath(cfg_path) self.am_model = os.path.abspath(am_model) @@ -236,16 +236,16 @@ class PaddleASRConnectionHandler(ASRServerExecutor): if self._check( io.BytesIO(audio_data), self.asr_engine.config.sample_rate, self.asr_engine.config.force_yes): - logger.info("start running asr engine") + logger.debug("start running asr engine") self.preprocess(self.asr_engine.config.model_type, io.BytesIO(audio_data)) st = time.time() self.infer(self.asr_engine.config.model_type) infer_time = time.time() - st self.output = self.postprocess() # Retrieve result of asr. - logger.info("end inferring asr engine") + logger.debug("end inferring asr engine") else: - logger.info("file check failed!") + logger.error("file check failed!") self.output = None logger.info("inference time: {}".format(infer_time)) diff --git a/paddlespeech/server/engine/asr/python/asr_engine.py b/paddlespeech/server/engine/asr/python/asr_engine.py index f9cc3a665..02c40fd12 100644 --- a/paddlespeech/server/engine/asr/python/asr_engine.py +++ b/paddlespeech/server/engine/asr/python/asr_engine.py @@ -104,7 +104,7 @@ class PaddleASRConnectionHandler(ASRServerExecutor): if self._check( io.BytesIO(audio_data), self.asr_engine.config.sample_rate, self.asr_engine.config.force_yes): - logger.info("start run asr engine") + logger.debug("start run asr engine") self.preprocess(self.asr_engine.config.model, io.BytesIO(audio_data)) st = time.time() @@ -112,7 +112,7 @@ class PaddleASRConnectionHandler(ASRServerExecutor): infer_time = time.time() - st self.output = self.postprocess() # Retrieve result of asr. else: - logger.info("file check failed!") + logger.error("file check failed!") self.output = None logger.info("inference time: {}".format(infer_time)) diff --git a/paddlespeech/server/engine/cls/paddleinference/cls_engine.py b/paddlespeech/server/engine/cls/paddleinference/cls_engine.py index 389d56055..fa62ba67c 100644 --- a/paddlespeech/server/engine/cls/paddleinference/cls_engine.py +++ b/paddlespeech/server/engine/cls/paddleinference/cls_engine.py @@ -67,22 +67,22 @@ class CLSServerExecutor(CLSExecutor): self.params_path = os.path.abspath(params_path) self.label_file = os.path.abspath(label_file) - logger.info(self.cfg_path) - logger.info(self.model_path) - logger.info(self.params_path) - logger.info(self.label_file) + logger.debug(self.cfg_path) + logger.debug(self.model_path) + logger.debug(self.params_path) + logger.debug(self.label_file) # config with open(self.cfg_path, 'r') as f: self._conf = yaml.safe_load(f) - logger.info("Read cfg file successfully.") + logger.debug("Read cfg file successfully.") # labels self._label_list = [] with open(self.label_file, 'r') as f: for line in f: self._label_list.append(line.strip()) - logger.info("Read label file successfully.") + logger.debug("Read label file successfully.") # Create predictor self.predictor_conf = predictor_conf @@ -90,7 +90,7 @@ class CLSServerExecutor(CLSExecutor): model_file=self.model_path, params_file=self.params_path, predictor_conf=self.predictor_conf) - logger.info("Create predictor successfully.") + logger.debug("Create predictor successfully.") @paddle.no_grad() def infer(self): @@ -148,7 +148,8 @@ class CLSEngine(BaseEngine): logger.error(e) return False - logger.info("Initialize CLS server engine successfully.") + logger.info("Initialize CLS server engine successfully on device: %s." % + (self.device)) return True @@ -160,7 +161,7 @@ class PaddleCLSConnectionHandler(CLSServerExecutor): cls_engine (CLSEngine): The CLS engine """ super().__init__() - logger.info( + logger.debug( "Create PaddleCLSConnectionHandler to process the cls request") self._inputs = OrderedDict() @@ -183,7 +184,7 @@ class PaddleCLSConnectionHandler(CLSServerExecutor): self.infer() infer_time = time.time() - st - logger.info("inference time: {}".format(infer_time)) + logger.debug("inference time: {}".format(infer_time)) logger.info("cls engine type: inference") def postprocess(self, topk: int): diff --git a/paddlespeech/server/engine/cls/python/cls_engine.py b/paddlespeech/server/engine/cls/python/cls_engine.py index f8d8f20ef..210f4cbbb 100644 --- a/paddlespeech/server/engine/cls/python/cls_engine.py +++ b/paddlespeech/server/engine/cls/python/cls_engine.py @@ -88,7 +88,7 @@ class PaddleCLSConnectionHandler(CLSServerExecutor): cls_engine (CLSEngine): The CLS engine """ super().__init__() - logger.info( + logger.debug( "Create PaddleCLSConnectionHandler to process the cls request") self._inputs = OrderedDict() @@ -110,7 +110,7 @@ class PaddleCLSConnectionHandler(CLSServerExecutor): self.infer() infer_time = time.time() - st - logger.info("inference time: {}".format(infer_time)) + logger.debug("inference time: {}".format(infer_time)) logger.info("cls engine type: python") def postprocess(self, topk: int): diff --git a/paddlespeech/server/engine/engine_warmup.py b/paddlespeech/server/engine/engine_warmup.py index 5f548f71d..12c760c6f 100644 --- a/paddlespeech/server/engine/engine_warmup.py +++ b/paddlespeech/server/engine/engine_warmup.py @@ -45,7 +45,7 @@ def warm_up(engine_and_type: str, warm_up_time: int=3) -> bool: logger.error("Please check tte engine type.") try: - logger.info("Start to warm up tts engine.") + logger.debug("Start to warm up tts engine.") for i in range(warm_up_time): connection_handler = PaddleTTSConnectionHandler(tts_engine) if flag_online: @@ -53,7 +53,7 @@ def warm_up(engine_and_type: str, warm_up_time: int=3) -> bool: text=sentence, lang=tts_engine.lang, am=tts_engine.config.am): - logger.info( + logger.debug( f"The first response time of the {i} warm up: {connection_handler.first_response_time} s" ) break @@ -62,7 +62,7 @@ def warm_up(engine_and_type: str, warm_up_time: int=3) -> bool: st = time.time() connection_handler.infer(text=sentence) et = time.time() - logger.info( + logger.debug( f"The response time of the {i} warm up: {et - st} s") except Exception as e: logger.error("Failed to warm up on tts engine.") diff --git a/paddlespeech/server/engine/text/python/text_engine.py b/paddlespeech/server/engine/text/python/text_engine.py index 73cf8737b..6167e7784 100644 --- a/paddlespeech/server/engine/text/python/text_engine.py +++ b/paddlespeech/server/engine/text/python/text_engine.py @@ -28,7 +28,7 @@ class PaddleTextConnectionHandler: text_engine (TextEngine): The Text engine """ super().__init__() - logger.info( + logger.debug( "Create PaddleTextConnectionHandler to process the text request") self.text_engine = text_engine self.task = self.text_engine.executor.task @@ -130,7 +130,7 @@ class TextEngine(BaseEngine): """The Text Engine """ super(TextEngine, self).__init__() - logger.info("Create the TextEngine Instance") + logger.debug("Create the TextEngine Instance") def init(self, config: dict): """Init the Text Engine @@ -141,7 +141,7 @@ class TextEngine(BaseEngine): Returns: bool: The engine instance flag """ - logger.info("Init the text engine") + logger.debug("Init the text engine") try: self.config = config if self.config.device: @@ -150,7 +150,7 @@ class TextEngine(BaseEngine): self.device = paddle.get_device() paddle.set_device(self.device) - logger.info(f"Text Engine set the device: {self.device}") + logger.debug(f"Text Engine set the device: {self.device}") except BaseException as e: logger.error( "Set device failed, please check if device is already used and the parameter 'device' in the yaml file" @@ -168,5 +168,6 @@ class TextEngine(BaseEngine): ckpt_path=config.ckpt_path, vocab_file=config.vocab_file) - logger.info("Init the text engine successfully") + logger.info("Initialize Text server engine successfully on device: %s." + % (self.device)) return True diff --git a/paddlespeech/server/engine/tts/online/onnx/tts_engine.py b/paddlespeech/server/engine/tts/online/onnx/tts_engine.py index f64287af9..7b8e04e8b 100644 --- a/paddlespeech/server/engine/tts/online/onnx/tts_engine.py +++ b/paddlespeech/server/engine/tts/online/onnx/tts_engine.py @@ -62,7 +62,7 @@ class TTSServerExecutor(TTSExecutor): (hasattr(self, 'am_encoder_infer_sess') and hasattr(self, 'am_decoder_sess') and hasattr( self, 'am_postnet_sess'))) and hasattr(self, 'voc_inference'): - logger.info('Models had been initialized.') + logger.debug('Models had been initialized.') return # am am_tag = am + '-' + lang @@ -85,8 +85,7 @@ class TTSServerExecutor(TTSExecutor): else: self.am_ckpt = os.path.abspath(am_ckpt[0]) self.phones_dict = os.path.abspath(phones_dict) - self.am_res_path = os.path.dirname( - os.path.abspath(am_ckpt)) + self.am_res_path = os.path.dirname(os.path.abspath(am_ckpt)) # create am sess self.am_sess = get_sess(self.am_ckpt, am_sess_conf) @@ -119,8 +118,7 @@ class TTSServerExecutor(TTSExecutor): self.am_postnet = os.path.abspath(am_ckpt[2]) self.phones_dict = os.path.abspath(phones_dict) self.am_stat = os.path.abspath(am_stat) - self.am_res_path = os.path.dirname( - os.path.abspath(am_ckpt[0])) + self.am_res_path = os.path.dirname(os.path.abspath(am_ckpt[0])) # create am sess self.am_encoder_infer_sess = get_sess(self.am_encoder_infer, @@ -130,13 +128,13 @@ class TTSServerExecutor(TTSExecutor): self.am_mu, self.am_std = np.load(self.am_stat) - logger.info(f"self.phones_dict: {self.phones_dict}") - logger.info(f"am model dir: {self.am_res_path}") - logger.info("Create am sess successfully.") + logger.debug(f"self.phones_dict: {self.phones_dict}") + logger.debug(f"am model dir: {self.am_res_path}") + logger.debug("Create am sess successfully.") # voc model info voc_tag = voc + '-' + lang - + if voc_ckpt is None: self.task_resource.set_task_model( model_tag=voc_tag, @@ -149,16 +147,16 @@ class TTSServerExecutor(TTSExecutor): else: self.voc_ckpt = os.path.abspath(voc_ckpt) self.voc_res_path = os.path.dirname(os.path.abspath(self.voc_ckpt)) - logger.info(self.voc_res_path) + logger.debug(self.voc_res_path) # create voc sess self.voc_sess = get_sess(self.voc_ckpt, voc_sess_conf) - logger.info("Create voc sess successfully.") + logger.debug("Create voc sess successfully.") with open(self.phones_dict, "r") as f: phn_id = [line.strip().split() for line in f.readlines()] self.vocab_size = len(phn_id) - logger.info(f"vocab_size: {self.vocab_size}") + logger.debug(f"vocab_size: {self.vocab_size}") # frontend self.tones_dict = None @@ -169,7 +167,7 @@ class TTSServerExecutor(TTSExecutor): elif lang == 'en': self.frontend = English(phone_vocab_path=self.phones_dict) - logger.info("frontend done!") + logger.debug("frontend done!") class TTSEngine(BaseEngine): @@ -267,7 +265,7 @@ class PaddleTTSConnectionHandler: tts_engine (TTSEngine): The TTS engine """ super().__init__() - logger.info( + logger.debug( "Create PaddleTTSConnectionHandler to process the tts request") self.tts_engine = tts_engine diff --git a/paddlespeech/server/engine/tts/online/python/tts_engine.py b/paddlespeech/server/engine/tts/online/python/tts_engine.py index 743643828..9bd95849f 100644 --- a/paddlespeech/server/engine/tts/online/python/tts_engine.py +++ b/paddlespeech/server/engine/tts/online/python/tts_engine.py @@ -102,7 +102,7 @@ class TTSServerExecutor(TTSExecutor): Init model and other resources from a specific path. """ if hasattr(self, 'am_inference') and hasattr(self, 'voc_inference'): - logger.info('Models had been initialized.') + logger.debug('Models had been initialized.') return # am model info if am_ckpt is None or am_config is None or am_stat is None or phones_dict is None: @@ -128,17 +128,15 @@ class TTSServerExecutor(TTSExecutor): # must have phones_dict in acoustic self.phones_dict = os.path.join( self.am_res_path, self.task_resource.res_dict['phones_dict']) - print("self.phones_dict:", self.phones_dict) - logger.info(self.am_res_path) - logger.info(self.am_config) - logger.info(self.am_ckpt) + logger.debug(self.am_res_path) + logger.debug(self.am_config) + logger.debug(self.am_ckpt) else: self.am_config = os.path.abspath(am_config) self.am_ckpt = os.path.abspath(am_ckpt) self.am_stat = os.path.abspath(am_stat) self.phones_dict = os.path.abspath(phones_dict) self.am_res_path = os.path.dirname(os.path.abspath(self.am_config)) - print("self.phones_dict:", self.phones_dict) self.tones_dict = None self.speaker_dict = None @@ -165,9 +163,9 @@ class TTSServerExecutor(TTSExecutor): self.voc_stat = os.path.join( self.voc_res_path, self.task_resource.voc_res_dict['speech_stats']) - logger.info(self.voc_res_path) - logger.info(self.voc_config) - logger.info(self.voc_ckpt) + logger.debug(self.voc_res_path) + logger.debug(self.voc_config) + logger.debug(self.voc_ckpt) else: self.voc_config = os.path.abspath(voc_config) self.voc_ckpt = os.path.abspath(voc_ckpt) @@ -184,7 +182,6 @@ class TTSServerExecutor(TTSExecutor): with open(self.phones_dict, "r") as f: phn_id = [line.strip().split() for line in f.readlines()] self.vocab_size = len(phn_id) - print("vocab_size:", self.vocab_size) # frontend if lang == 'zh': @@ -194,7 +191,6 @@ class TTSServerExecutor(TTSExecutor): elif lang == 'en': self.frontend = English(phone_vocab_path=self.phones_dict) - print("frontend done!") # am infer info self.am_name = am[:am.rindex('_')] @@ -209,7 +205,6 @@ class TTSServerExecutor(TTSExecutor): self.am_name + '_inference') self.am_inference = am_inference_class(am_normalizer, am) self.am_inference.eval() - print("acoustic model done!") # voc infer info self.voc_name = voc[:voc.rindex('_')] @@ -220,7 +215,6 @@ class TTSServerExecutor(TTSExecutor): '_inference') self.voc_inference = voc_inference_class(voc_normalizer, voc) self.voc_inference.eval() - print("voc done!") class TTSEngine(BaseEngine): @@ -309,7 +303,7 @@ class PaddleTTSConnectionHandler: tts_engine (TTSEngine): The TTS engine """ super().__init__() - logger.info( + logger.debug( "Create PaddleTTSConnectionHandler to process the tts request") self.tts_engine = tts_engine @@ -369,7 +363,7 @@ class PaddleTTSConnectionHandler: text, merge_sentences=merge_sentences) phone_ids = input_ids["phone_ids"] else: - print("lang should in {'zh', 'en'}!") + logger.error("lang should in {'zh', 'en'}!") frontend_et = time.time() self.frontend_time = frontend_et - frontend_st diff --git a/paddlespeech/server/engine/tts/paddleinference/tts_engine.py b/paddlespeech/server/engine/tts/paddleinference/tts_engine.py index a56324871..43b0df407 100644 --- a/paddlespeech/server/engine/tts/paddleinference/tts_engine.py +++ b/paddlespeech/server/engine/tts/paddleinference/tts_engine.py @@ -65,7 +65,7 @@ class TTSServerExecutor(TTSExecutor): Init model and other resources from a specific path. """ if hasattr(self, 'am_predictor') and hasattr(self, 'voc_predictor'): - logger.info('Models had been initialized.') + logger.debug('Models had been initialized.') return # am if am_model is None or am_params is None or phones_dict is None: @@ -91,16 +91,16 @@ class TTSServerExecutor(TTSExecutor): self.am_res_path, self.task_resource.res_dict['phones_dict']) self.am_sample_rate = self.task_resource.res_dict['sample_rate'] - logger.info(self.am_res_path) - logger.info(self.am_model) - logger.info(self.am_params) + logger.debug(self.am_res_path) + logger.debug(self.am_model) + logger.debug(self.am_params) else: self.am_model = os.path.abspath(am_model) self.am_params = os.path.abspath(am_params) self.phones_dict = os.path.abspath(phones_dict) self.am_sample_rate = am_sample_rate self.am_res_path = os.path.dirname(os.path.abspath(self.am_model)) - logger.info("self.phones_dict: {}".format(self.phones_dict)) + logger.debug("self.phones_dict: {}".format(self.phones_dict)) # for speedyspeech self.tones_dict = None @@ -139,9 +139,9 @@ class TTSServerExecutor(TTSExecutor): self.voc_res_path, self.task_resource.voc_res_dict['params']) self.voc_sample_rate = self.task_resource.voc_res_dict[ 'sample_rate'] - logger.info(self.voc_res_path) - logger.info(self.voc_model) - logger.info(self.voc_params) + logger.debug(self.voc_res_path) + logger.debug(self.voc_model) + logger.debug(self.voc_params) else: self.voc_model = os.path.abspath(voc_model) self.voc_params = os.path.abspath(voc_params) @@ -156,21 +156,21 @@ class TTSServerExecutor(TTSExecutor): with open(self.phones_dict, "r") as f: phn_id = [line.strip().split() for line in f.readlines()] vocab_size = len(phn_id) - logger.info("vocab_size: {}".format(vocab_size)) + logger.debug("vocab_size: {}".format(vocab_size)) tone_size = None if self.tones_dict: with open(self.tones_dict, "r") as f: tone_id = [line.strip().split() for line in f.readlines()] tone_size = len(tone_id) - logger.info("tone_size: {}".format(tone_size)) + logger.debug("tone_size: {}".format(tone_size)) spk_num = None if self.speaker_dict: with open(self.speaker_dict, 'rt') as f: spk_id = [line.strip().split() for line in f.readlines()] spk_num = len(spk_id) - logger.info("spk_num: {}".format(spk_num)) + logger.debug("spk_num: {}".format(spk_num)) # frontend if lang == 'zh': @@ -180,7 +180,7 @@ class TTSServerExecutor(TTSExecutor): elif lang == 'en': self.frontend = English(phone_vocab_path=self.phones_dict) - logger.info("frontend done!") + logger.debug("frontend done!") # Create am predictor self.am_predictor_conf = am_predictor_conf @@ -188,7 +188,7 @@ class TTSServerExecutor(TTSExecutor): model_file=self.am_model, params_file=self.am_params, predictor_conf=self.am_predictor_conf) - logger.info("Create AM predictor successfully.") + logger.debug("Create AM predictor successfully.") # Create voc predictor self.voc_predictor_conf = voc_predictor_conf @@ -196,7 +196,7 @@ class TTSServerExecutor(TTSExecutor): model_file=self.voc_model, params_file=self.voc_params, predictor_conf=self.voc_predictor_conf) - logger.info("Create Vocoder predictor successfully.") + logger.debug("Create Vocoder predictor successfully.") @paddle.no_grad() def infer(self, @@ -328,7 +328,8 @@ class TTSEngine(BaseEngine): logger.error(e) return False - logger.info("Initialize TTS server engine successfully.") + logger.info("Initialize TTS server engine successfully on device: %s." % + (self.device)) return True @@ -340,7 +341,7 @@ class PaddleTTSConnectionHandler(TTSServerExecutor): tts_engine (TTSEngine): The TTS engine """ super().__init__() - logger.info( + logger.debug( "Create PaddleTTSConnectionHandler to process the tts request") self.tts_engine = tts_engine @@ -378,23 +379,23 @@ class PaddleTTSConnectionHandler(TTSServerExecutor): if target_fs == 0 or target_fs > original_fs: target_fs = original_fs wav_tar_fs = wav - logger.info( + logger.debug( "The sample rate of synthesized audio is the same as model, which is {}Hz". format(original_fs)) else: wav_tar_fs = librosa.resample( np.squeeze(wav), original_fs, target_fs) - logger.info( + logger.debug( "The sample rate of model is {}Hz and the target sample rate is {}Hz. Converting the sample rate of the synthesized audio successfully.". format(original_fs, target_fs)) # transform volume wav_vol = wav_tar_fs * volume - logger.info("Transform the volume of the audio successfully.") + logger.debug("Transform the volume of the audio successfully.") # transform speed try: # windows not support soxbindings wav_speed = change_speed(wav_vol, speed, target_fs) - logger.info("Transform the speed of the audio successfully.") + logger.debug("Transform the speed of the audio successfully.") except ServerBaseException: raise ServerBaseException( ErrorCode.SERVER_INTERNAL_ERR, @@ -411,7 +412,7 @@ class PaddleTTSConnectionHandler(TTSServerExecutor): wavfile.write(buf, target_fs, wav_speed) base64_bytes = base64.b64encode(buf.read()) wav_base64 = base64_bytes.decode('utf-8') - logger.info("Audio to string successfully.") + logger.debug("Audio to string successfully.") # save audio if audio_path is not None: @@ -499,15 +500,15 @@ class PaddleTTSConnectionHandler(TTSServerExecutor): logger.error(e) sys.exit(-1) - logger.info("AM model: {}".format(self.config.am)) - logger.info("Vocoder model: {}".format(self.config.voc)) - logger.info("Language: {}".format(lang)) + logger.debug("AM model: {}".format(self.config.am)) + logger.debug("Vocoder model: {}".format(self.config.voc)) + logger.debug("Language: {}".format(lang)) logger.info("tts engine type: python") logger.info("audio duration: {}".format(duration)) - logger.info("frontend inference time: {}".format(self.frontend_time)) - logger.info("AM inference time: {}".format(self.am_time)) - logger.info("Vocoder inference time: {}".format(self.voc_time)) + logger.debug("frontend inference time: {}".format(self.frontend_time)) + logger.debug("AM inference time: {}".format(self.am_time)) + logger.debug("Vocoder inference time: {}".format(self.voc_time)) logger.info("total inference time: {}".format(infer_time)) logger.info( "postprocess (change speed, volume, target sample rate) time: {}". @@ -515,6 +516,6 @@ class PaddleTTSConnectionHandler(TTSServerExecutor): logger.info("total generate audio time: {}".format(infer_time + postprocess_time)) logger.info("RTF: {}".format(rtf)) - logger.info("device: {}".format(self.tts_engine.device)) + logger.debug("device: {}".format(self.tts_engine.device)) return lang, target_sample_rate, duration, wav_base64 diff --git a/paddlespeech/server/engine/tts/python/tts_engine.py b/paddlespeech/server/engine/tts/python/tts_engine.py index b048b01a4..4d1801006 100644 --- a/paddlespeech/server/engine/tts/python/tts_engine.py +++ b/paddlespeech/server/engine/tts/python/tts_engine.py @@ -105,7 +105,7 @@ class PaddleTTSConnectionHandler(TTSServerExecutor): tts_engine (TTSEngine): The TTS engine """ super().__init__() - logger.info( + logger.debug( "Create PaddleTTSConnectionHandler to process the tts request") self.tts_engine = tts_engine @@ -143,23 +143,23 @@ class PaddleTTSConnectionHandler(TTSServerExecutor): if target_fs == 0 or target_fs > original_fs: target_fs = original_fs wav_tar_fs = wav - logger.info( + logger.debug( "The sample rate of synthesized audio is the same as model, which is {}Hz". format(original_fs)) else: wav_tar_fs = librosa.resample( np.squeeze(wav), original_fs, target_fs) - logger.info( + logger.debug( "The sample rate of model is {}Hz and the target sample rate is {}Hz. Converting the sample rate of the synthesized audio successfully.". format(original_fs, target_fs)) # transform volume wav_vol = wav_tar_fs * volume - logger.info("Transform the volume of the audio successfully.") + logger.debug("Transform the volume of the audio successfully.") # transform speed try: # windows not support soxbindings wav_speed = change_speed(wav_vol, speed, target_fs) - logger.info("Transform the speed of the audio successfully.") + logger.debug("Transform the speed of the audio successfully.") except ServerBaseException: raise ServerBaseException( ErrorCode.SERVER_INTERNAL_ERR, @@ -176,7 +176,7 @@ class PaddleTTSConnectionHandler(TTSServerExecutor): wavfile.write(buf, target_fs, wav_speed) base64_bytes = base64.b64encode(buf.read()) wav_base64 = base64_bytes.decode('utf-8') - logger.info("Audio to string successfully.") + logger.debug("Audio to string successfully.") # save audio if audio_path is not None: @@ -264,15 +264,15 @@ class PaddleTTSConnectionHandler(TTSServerExecutor): logger.error(e) sys.exit(-1) - logger.info("AM model: {}".format(self.config.am)) - logger.info("Vocoder model: {}".format(self.config.voc)) - logger.info("Language: {}".format(lang)) + logger.debug("AM model: {}".format(self.config.am)) + logger.debug("Vocoder model: {}".format(self.config.voc)) + logger.debug("Language: {}".format(lang)) logger.info("tts engine type: python") logger.info("audio duration: {}".format(duration)) - logger.info("frontend inference time: {}".format(self.frontend_time)) - logger.info("AM inference time: {}".format(self.am_time)) - logger.info("Vocoder inference time: {}".format(self.voc_time)) + logger.debug("frontend inference time: {}".format(self.frontend_time)) + logger.debug("AM inference time: {}".format(self.am_time)) + logger.debug("Vocoder inference time: {}".format(self.voc_time)) logger.info("total inference time: {}".format(infer_time)) logger.info( "postprocess (change speed, volume, target sample rate) time: {}". @@ -280,6 +280,6 @@ class PaddleTTSConnectionHandler(TTSServerExecutor): logger.info("total generate audio time: {}".format(infer_time + postprocess_time)) logger.info("RTF: {}".format(rtf)) - logger.info("device: {}".format(self.tts_engine.device)) + logger.debug("device: {}".format(self.tts_engine.device)) return lang, target_sample_rate, duration, wav_base64 diff --git a/paddlespeech/server/engine/vector/python/vector_engine.py b/paddlespeech/server/engine/vector/python/vector_engine.py index 3c72f55d4..f7d60648d 100644 --- a/paddlespeech/server/engine/vector/python/vector_engine.py +++ b/paddlespeech/server/engine/vector/python/vector_engine.py @@ -33,7 +33,7 @@ class PaddleVectorConnectionHandler: vector_engine (VectorEngine): The Vector engine """ super().__init__() - logger.info( + logger.debug( "Create PaddleVectorConnectionHandler to process the vector request") self.vector_engine = vector_engine self.executor = self.vector_engine.executor @@ -54,7 +54,7 @@ class PaddleVectorConnectionHandler: Returns: str: the punctuation text """ - logger.info( + logger.debug( f"start to extract the do vector {self.task} from the http request") if self.task == "spk" and task == "spk": embedding = self.extract_audio_embedding(audio_data) @@ -81,17 +81,17 @@ class PaddleVectorConnectionHandler: Returns: float: the score between enroll and test audio """ - logger.info("start to extract the enroll audio embedding") + logger.debug("start to extract the enroll audio embedding") enroll_emb = self.extract_audio_embedding(enroll_audio) - logger.info("start to extract the test audio embedding") + logger.debug("start to extract the test audio embedding") test_emb = self.extract_audio_embedding(test_audio) - logger.info( + logger.debug( "start to get the score between the enroll and test embedding") score = self.executor.get_embeddings_score(enroll_emb, test_emb) - logger.info(f"get the enroll vs test score: {score}") + logger.debug(f"get the enroll vs test score: {score}") return score @paddle.no_grad() @@ -106,11 +106,12 @@ class PaddleVectorConnectionHandler: # because the soundfile will change the io.BytesIO(audio) to the end # thus we should convert the base64 string to io.BytesIO when we need the audio data if not self.executor._check(io.BytesIO(audio), sample_rate): - logger.info("check the audio sample rate occurs error") + logger.debug("check the audio sample rate occurs error") return np.array([0.0]) waveform, sr = load_audio(io.BytesIO(audio)) - logger.info(f"load the audio sample points, shape is: {waveform.shape}") + logger.debug( + f"load the audio sample points, shape is: {waveform.shape}") # stage 2: get the audio feat # Note: Now we only support fbank feature @@ -121,9 +122,9 @@ class PaddleVectorConnectionHandler: n_mels=self.config.n_mels, window_size=self.config.window_size, hop_length=self.config.hop_size) - logger.info(f"extract the audio feats, shape is: {feats.shape}") + logger.debug(f"extract the audio feats, shape is: {feats.shape}") except Exception as e: - logger.info(f"feats occurs exception {e}") + logger.error(f"feats occurs exception {e}") sys.exit(-1) feats = paddle.to_tensor(feats).unsqueeze(0) @@ -159,7 +160,7 @@ class VectorEngine(BaseEngine): """The Vector Engine """ super(VectorEngine, self).__init__() - logger.info("Create the VectorEngine Instance") + logger.debug("Create the VectorEngine Instance") def init(self, config: dict): """Init the Vector Engine @@ -170,7 +171,7 @@ class VectorEngine(BaseEngine): Returns: bool: The engine instance flag """ - logger.info("Init the vector engine") + logger.debug("Init the vector engine") try: self.config = config if self.config.device: @@ -179,7 +180,7 @@ class VectorEngine(BaseEngine): self.device = paddle.get_device() paddle.set_device(self.device) - logger.info(f"Vector Engine set the device: {self.device}") + logger.debug(f"Vector Engine set the device: {self.device}") except BaseException as e: logger.error( "Set device failed, please check if device is already used and the parameter 'device' in the yaml file" @@ -196,5 +197,7 @@ class VectorEngine(BaseEngine): ckpt_path=config.ckpt_path, task=config.task) - logger.info("Init the Vector engine successfully") + logger.info( + "Initialize Vector server engine successfully on device: %s." % + (self.device)) return True diff --git a/paddlespeech/server/utils/audio_handler.py b/paddlespeech/server/utils/audio_handler.py index e3d90d469..d4540781d 100644 --- a/paddlespeech/server/utils/audio_handler.py +++ b/paddlespeech/server/utils/audio_handler.py @@ -138,7 +138,7 @@ class ASRWsAudioHandler: Returns: str: the final asr result """ - logging.info("send a message to the server") + logging.debug("send a message to the server") if self.url is None: logger.error("No asr server, please input valid ip and port") @@ -160,7 +160,7 @@ class ASRWsAudioHandler: separators=(',', ': ')) await ws.send(audio_info) msg = await ws.recv() - logger.info("client receive msg={}".format(msg)) + logger.debug("client receive msg={}".format(msg)) # 3. send chunk audio data to engine for chunk_data in self.read_wave(wavfile_path): @@ -170,7 +170,7 @@ class ASRWsAudioHandler: if self.punc_server and len(msg["result"]) > 0: msg["result"] = self.punc_server.run(msg["result"]) - logger.info("client receive msg={}".format(msg)) + logger.debug("client receive msg={}".format(msg)) # 4. we must send finished signal to the server audio_info = json.dumps( @@ -310,7 +310,7 @@ class TTSWsHandler: start_request = json.dumps({"task": "tts", "signal": "start"}) await ws.send(start_request) msg = await ws.recv() - logger.info(f"client receive msg={msg}") + logger.debug(f"client receive msg={msg}") msg = json.loads(msg) session = msg["session"] @@ -319,7 +319,7 @@ class TTSWsHandler: request = json.dumps({"text": text_base64}) st = time.time() await ws.send(request) - logging.info("send a message to the server") + logging.debug("send a message to the server") # 4. Process the received response message = await ws.recv() @@ -543,7 +543,6 @@ class VectorHttpHandler: "sample_rate": sample_rate, } - logger.info(self.url) res = requests.post(url=self.url, data=json.dumps(data)) return res.json() diff --git a/paddlespeech/server/utils/audio_process.py b/paddlespeech/server/utils/audio_process.py index 416d77ac4..ae5383979 100644 --- a/paddlespeech/server/utils/audio_process.py +++ b/paddlespeech/server/utils/audio_process.py @@ -169,7 +169,7 @@ def save_audio(bytes_data, audio_path, sample_rate: int=24000) -> bool: sample_rate=sample_rate) os.remove("./tmp.pcm") else: - print("Only supports saved audio format is pcm or wav") + logger.error("Only supports saved audio format is pcm or wav") return False return True diff --git a/paddlespeech/server/utils/onnx_infer.py b/paddlespeech/server/utils/onnx_infer.py index 087eb9c00..23d83c735 100644 --- a/paddlespeech/server/utils/onnx_infer.py +++ b/paddlespeech/server/utils/onnx_infer.py @@ -20,7 +20,7 @@ from paddlespeech.cli.log import logger def get_sess(model_path: Optional[os.PathLike]=None, sess_conf: dict=None): - logger.info(f"ort sessconf: {sess_conf}") + logger.debug(f"ort sessconf: {sess_conf}") sess_options = ort.SessionOptions() sess_options.graph_optimization_level = ort.GraphOptimizationLevel.ORT_ENABLE_ALL if sess_conf.get('graph_optimization_level', 99) == 0: @@ -34,7 +34,7 @@ def get_sess(model_path: Optional[os.PathLike]=None, sess_conf: dict=None): # fastspeech2/mb_melgan can't use trt now! if sess_conf.get("use_trt", 0): providers = ['TensorrtExecutionProvider'] - logger.info(f"ort providers: {providers}") + logger.debug(f"ort providers: {providers}") if 'cpu_threads' in sess_conf: sess_options.intra_op_num_threads = sess_conf.get("cpu_threads", 0) diff --git a/paddlespeech/server/utils/util.py b/paddlespeech/server/utils/util.py index 061b213c7..826d923ed 100644 --- a/paddlespeech/server/utils/util.py +++ b/paddlespeech/server/utils/util.py @@ -13,6 +13,8 @@ import base64 import math +from paddlespeech.cli.log import logger + def wav2base64(wav_file: str): """ @@ -61,7 +63,7 @@ def get_chunks(data, block_size, pad_size, step): elif step == "voc": data_len = data.shape[0] else: - print("Please set correct type to get chunks, am or voc") + logger.error("Please set correct type to get chunks, am or voc") chunks = [] n = math.ceil(data_len / block_size) @@ -73,7 +75,7 @@ def get_chunks(data, block_size, pad_size, step): elif step == "voc": chunks.append(data[start:end, :]) else: - print("Please set correct type to get chunks, am or voc") + logger.error("Please set correct type to get chunks, am or voc") return chunks From f6d1c545ac0a2370f9f5bc4228e7b872bfc59345 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Tue, 5 Jul 2022 06:12:37 +0000 Subject: [PATCH 066/192] fromat doc_string --- .../t2s/models/fastspeech2/fastspeech2.py | 337 ++++++++++++------ paddlespeech/t2s/models/hifigan/hifigan.py | 154 +++++--- paddlespeech/t2s/models/melgan/melgan.py | 133 ++++--- .../t2s/models/melgan/style_melgan.py | 63 ++-- .../parallel_wavegan/parallel_wavegan.py | 157 +++++--- .../t2s/models/speedyspeech/speedyspeech.py | 132 ++++--- .../t2s/models/tacotron2/tacotron2.py | 153 +++++--- .../models/transformer_tts/transformer_tts.py | 178 +++++---- paddlespeech/t2s/models/waveflow.py | 214 +++++++---- paddlespeech/t2s/models/wavernn/wavernn.py | 64 ++-- paddlespeech/t2s/modules/causal_conv.py | 6 +- .../t2s/modules/conformer/convolution.py | 9 +- .../t2s/modules/conformer/encoder_layer.py | 39 +- paddlespeech/t2s/modules/conv.py | 60 ++-- paddlespeech/t2s/modules/geometry.py | 6 +- paddlespeech/t2s/modules/layer_norm.py | 9 +- paddlespeech/t2s/modules/losses.py | 178 +++++---- paddlespeech/t2s/modules/nets_utils.py | 129 ++++--- paddlespeech/t2s/modules/pqmf.py | 27 +- .../modules/predictor/duration_predictor.py | 36 +- .../t2s/modules/predictor/length_regulator.py | 12 +- .../modules/predictor/variance_predictor.py | 24 +- paddlespeech/t2s/modules/residual_block.py | 63 ++-- paddlespeech/t2s/modules/residual_stack.py | 30 +- paddlespeech/t2s/modules/style_encoder.py | 75 ++-- .../t2s/modules/tacotron2/attentions.py | 159 ++++++--- paddlespeech/t2s/modules/tacotron2/decoder.py | 125 ++++--- paddlespeech/t2s/modules/tacotron2/encoder.py | 49 ++- paddlespeech/t2s/modules/tade_res_block.py | 24 +- .../t2s/modules/transformer/attention.py | 96 +++-- .../t2s/modules/transformer/decoder.py | 96 +++-- .../t2s/modules/transformer/decoder_layer.py | 36 +- .../t2s/modules/transformer/embedding.py | 72 ++-- .../t2s/modules/transformer/encoder.py | 258 +++++++++----- .../t2s/modules/transformer/encoder_layer.py | 33 +- .../t2s/modules/transformer/lightconv.py | 30 +- paddlespeech/t2s/modules/transformer/mask.py | 15 +- .../modules/transformer/multi_layer_conv.py | 30 +- .../transformer/positionwise_feed_forward.py | 9 +- .../t2s/modules/transformer/repeat.py | 6 +- .../t2s/modules/transformer/subsampling.py | 24 +- paddlespeech/t2s/modules/upsample.py | 64 ++-- paddlespeech/t2s/training/experiment.py | 6 +- paddlespeech/t2s/utils/checkpoint.py | 35 +- paddlespeech/t2s/utils/error_rate.py | 12 +- paddlespeech/t2s/utils/h5_utils.py | 6 +- paddlespeech/t2s/utils/internals.py | 3 +- 47 files changed, 2299 insertions(+), 1177 deletions(-) diff --git a/paddlespeech/t2s/models/fastspeech2/fastspeech2.py b/paddlespeech/t2s/models/fastspeech2/fastspeech2.py index ec5ed984c..347a10e90 100644 --- a/paddlespeech/t2s/models/fastspeech2/fastspeech2.py +++ b/paddlespeech/t2s/models/fastspeech2/fastspeech2.py @@ -141,71 +141,133 @@ class FastSpeech2(nn.Layer): init_dec_alpha: float=1.0, ): """Initialize FastSpeech2 module. Args: - idim (int): Dimension of the inputs. - odim (int): Dimension of the outputs. - adim (int): Attention dimension. - aheads (int): Number of attention heads. - elayers (int): Number of encoder layers. - eunits (int): Number of encoder hidden units. - dlayers (int): Number of decoder layers. - dunits (int): Number of decoder hidden units. - postnet_layers (int): Number of postnet layers. - postnet_chans (int): Number of postnet channels. - postnet_filts (int): Kernel size of postnet. - postnet_dropout_rate (float): Dropout rate in postnet. - use_scaled_pos_enc (bool): Whether to use trainable scaled pos encoding. - use_batch_norm (bool): Whether to use batch normalization in encoder prenet. - encoder_normalize_before (bool): Whether to apply layernorm layer before encoder block. - decoder_normalize_before (bool): Whether to apply layernorm layer before decoder block. - encoder_concat_after (bool): Whether to concatenate attention layer's input and output in encoder. - decoder_concat_after (bool): Whether to concatenate attention layer's input and output in decoder. - reduction_factor (int): Reduction factor. - encoder_type (str): Encoder type ("transformer" or "conformer"). - decoder_type (str): Decoder type ("transformer" or "conformer"). - transformer_enc_dropout_rate (float): Dropout rate in encoder except attention and positional encoding. - transformer_enc_positional_dropout_rate (float): Dropout rate after encoder positional encoding. - transformer_enc_attn_dropout_rate (float): Dropout rate in encoder self-attention module. - transformer_dec_dropout_rate (float): Dropout rate in decoder except attention & positional encoding. - transformer_dec_positional_dropout_rate (float): Dropout rate after decoder positional encoding. - transformer_dec_attn_dropout_rate (float): Dropout rate in decoder self-attention module. - conformer_pos_enc_layer_type (str): Pos encoding layer type in conformer. - conformer_self_attn_layer_type (str): Self-attention layer type in conformer - conformer_activation_type (str): Activation function type in conformer. - use_macaron_style_in_conformer (bool): Whether to use macaron style FFN. - use_cnn_in_conformer (bool): Whether to use CNN in conformer. - zero_triu (bool): Whether to use zero triu in relative self-attention module. - conformer_enc_kernel_size (int): Kernel size of encoder conformer. - conformer_dec_kernel_size (int): Kernel size of decoder conformer. - duration_predictor_layers (int): Number of duration predictor layers. - duration_predictor_chans (int): Number of duration predictor channels. - duration_predictor_kernel_size (int): Kernel size of duration predictor. - duration_predictor_dropout_rate (float): Dropout rate in duration predictor. - pitch_predictor_layers (int): Number of pitch predictor layers. - pitch_predictor_chans (int): Number of pitch predictor channels. - pitch_predictor_kernel_size (int): Kernel size of pitch predictor. - pitch_predictor_dropout_rate (float): Dropout rate in pitch predictor. - pitch_embed_kernel_size (float): Kernel size of pitch embedding. - pitch_embed_dropout_rate (float): Dropout rate for pitch embedding. - stop_gradient_from_pitch_predictor (bool): Whether to stop gradient from pitch predictor to encoder. - energy_predictor_layers (int): Number of energy predictor layers. - energy_predictor_chans (int): Number of energy predictor channels. - energy_predictor_kernel_size (int): Kernel size of energy predictor. - energy_predictor_dropout_rate (float): Dropout rate in energy predictor. - energy_embed_kernel_size (float): Kernel size of energy embedding. - energy_embed_dropout_rate (float): Dropout rate for energy embedding. - stop_gradient_from_energy_predictor（bool): Whether to stop gradient from energy predictor to encoder. - spk_num (Optional[int]): Number of speakers. If not None, assume that the spk_embed_dim is not None, + idim (int): + Dimension of the inputs. + odim (int): + Dimension of the outputs. + adim (int): + Attention dimension. + aheads (int): + Number of attention heads. + elayers (int): + Number of encoder layers. + eunits (int): + Number of encoder hidden units. + dlayers (int): + Number of decoder layers. + dunits (int): + Number of decoder hidden units. + postnet_layers (int): + Number of postnet layers. + postnet_chans (int): + Number of postnet channels. + postnet_filts (int): + Kernel size of postnet. + postnet_dropout_rate (float): + Dropout rate in postnet. + use_scaled_pos_enc (bool): + Whether to use trainable scaled pos encoding. + use_batch_norm (bool): + Whether to use batch normalization in encoder prenet. + encoder_normalize_before (bool): + Whether to apply layernorm layer before encoder block. + decoder_normalize_before (bool): + Whether to apply layernorm layer before decoder block. + encoder_concat_after (bool): + Whether to concatenate attention layer's input and output in encoder. + decoder_concat_after (bool): + Whether to concatenate attention layer's input and output in decoder. + reduction_factor (int): + Reduction factor. + encoder_type (str): + Encoder type ("transformer" or "conformer"). + decoder_type (str): + Decoder type ("transformer" or "conformer"). + transformer_enc_dropout_rate (float): + Dropout rate in encoder except attention and positional encoding. + transformer_enc_positional_dropout_rate (float): + Dropout rate after encoder positional encoding. + transformer_enc_attn_dropout_rate (float): + Dropout rate in encoder self-attention module. + transformer_dec_dropout_rate (float): + Dropout rate in decoder except attention & positional encoding. + transformer_dec_positional_dropout_rate (float): + Dropout rate after decoder positional encoding. + transformer_dec_attn_dropout_rate (float): + Dropout rate in decoder self-attention module. + conformer_pos_enc_layer_type (str): + Pos encoding layer type in conformer. + conformer_self_attn_layer_type (str): + Self-attention layer type in conformer + conformer_activation_type (str): + Activation function type in conformer. + use_macaron_style_in_conformer (bool): + Whether to use macaron style FFN. + use_cnn_in_conformer (bool): + Whether to use CNN in conformer. + zero_triu (bool): + Whether to use zero triu in relative self-attention module. + conformer_enc_kernel_size (int): + Kernel size of encoder conformer. + conformer_dec_kernel_size (int): + Kernel size of decoder conformer. + duration_predictor_layers (int): + Number of duration predictor layers. + duration_predictor_chans (int): + Number of duration predictor channels. + duration_predictor_kernel_size (int): + Kernel size of duration predictor. + duration_predictor_dropout_rate (float): + Dropout rate in duration predictor. + pitch_predictor_layers (int): + Number of pitch predictor layers. + pitch_predictor_chans (int): + Number of pitch predictor channels. + pitch_predictor_kernel_size (int): + Kernel size of pitch predictor. + pitch_predictor_dropout_rate (float): + Dropout rate in pitch predictor. + pitch_embed_kernel_size (float): + Kernel size of pitch embedding. + pitch_embed_dropout_rate (float): + Dropout rate for pitch embedding. + stop_gradient_from_pitch_predictor (bool): + Whether to stop gradient from pitch predictor to encoder. + energy_predictor_layers (int): + Number of energy predictor layers. + energy_predictor_chans (int): + Number of energy predictor channels. + energy_predictor_kernel_size (int): + Kernel size of energy predictor. + energy_predictor_dropout_rate (float): + Dropout rate in energy predictor. + energy_embed_kernel_size (float): + Kernel size of energy embedding. + energy_embed_dropout_rate (float): + Dropout rate for energy embedding. + stop_gradient_from_energy_predictor（bool): + Whether to stop gradient from energy predictor to encoder. + spk_num (Optional[int]): + Number of speakers. If not None, assume that the spk_embed_dim is not None, spk_ids will be provided as the input and use spk_embedding_table. - spk_embed_dim (Optional[int]): Speaker embedding dimension. If not None, + spk_embed_dim (Optional[int]): + Speaker embedding dimension. If not None, assume that spk_emb will be provided as the input or spk_num is not None. - spk_embed_integration_type (str): How to integrate speaker embedding. - tone_num (Optional[int]): Number of tones. If not None, assume that the + spk_embed_integration_type (str): + How to integrate speaker embedding. + tone_num (Optional[int]): + Number of tones. If not None, assume that the tone_ids will be provided as the input and use tone_embedding_table. - tone_embed_dim (Optional[int]): Tone embedding dimension. If not None, assume that tone_num is not None. - tone_embed_integration_type (str): How to integrate tone embedding. - init_type (str): How to initialize transformer parameters. - init_enc_alpha （float): Initial value of alpha in scaled pos encoding of the encoder. - init_dec_alpha (float): Initial value of alpha in scaled pos encoding of the decoder. + tone_embed_dim (Optional[int]): + Tone embedding dimension. If not None, assume that tone_num is not None. + tone_embed_integration_type (str): + How to integrate tone embedding. + init_type (str): + How to initialize transformer parameters. + init_enc_alpha （float): + Initial value of alpha in scaled pos encoding of the encoder. + init_dec_alpha (float): + Initial value of alpha in scaled pos encoding of the decoder. """ assert check_argument_types() @@ -449,20 +511,29 @@ class FastSpeech2(nn.Layer): """Calculate forward propagation. Args: - text(Tensor(int64)): Batch of padded token ids (B, Tmax). - text_lengths(Tensor(int64)): Batch of lengths of each input (B,). - speech(Tensor): Batch of padded target features (B, Lmax, odim). - speech_lengths(Tensor(int64)): Batch of the lengths of each target (B,). - durations(Tensor(int64)): Batch of padded durations (B, Tmax). - pitch(Tensor): Batch of padded token-averaged pitch (B, Tmax, 1). - energy(Tensor): Batch of padded token-averaged energy (B, Tmax, 1). - tone_id(Tensor, optional(int64)): Batch of padded tone ids (B, Tmax). - spk_emb(Tensor, optional): Batch of speaker embeddings (B, spk_embed_dim). - spk_id(Tnesor, optional(int64)): Batch of speaker ids (B,) + text(Tensor(int64)): + Batch of padded token ids (B, Tmax). + text_lengths(Tensor(int64)): + Batch of lengths of each input (B,). + speech(Tensor): + Batch of padded target features (B, Lmax, odim). + speech_lengths(Tensor(int64)): + Batch of the lengths of each target (B,). + durations(Tensor(int64)): + Batch of padded durations (B, Tmax). + pitch(Tensor): + Batch of padded token-averaged pitch (B, Tmax, 1). + energy(Tensor): + Batch of padded token-averaged energy (B, Tmax, 1). + tone_id(Tensor, optional(int64)): + Batch of padded tone ids (B, Tmax). + spk_emb(Tensor, optional): + Batch of speaker embeddings (B, spk_embed_dim). + spk_id(Tnesor, optional(int64)): + Batch of speaker ids (B,) Returns: - """ # input of embedding must be int64 @@ -658,20 +729,28 @@ class FastSpeech2(nn.Layer): """Generate the sequence of features given the sequences of characters. Args: - text(Tensor(int64)): Input sequence of characters (T,). - durations(Tensor, optional (int64)): Groundtruth of duration (T,). - pitch(Tensor, optional): Groundtruth of token-averaged pitch (T, 1). - energy(Tensor, optional): Groundtruth of token-averaged energy (T, 1). - alpha(float, optional): Alpha to control the speed. - use_teacher_forcing(bool, optional): Whether to use teacher forcing. + text(Tensor(int64)): + Input sequence of characters (T,). + durations(Tensor, optional (int64)): + Groundtruth of duration (T,). + pitch(Tensor, optional): + Groundtruth of token-averaged pitch (T, 1). + energy(Tensor, optional): + Groundtruth of token-averaged energy (T, 1). + alpha(float, optional): + Alpha to control the speed. + use_teacher_forcing(bool, optional): + Whether to use teacher forcing. If true, groundtruth of duration, pitch and energy will be used. - spk_emb(Tensor, optional, optional): peaker embedding vector (spk_embed_dim,). (Default value = None) - spk_id(Tensor, optional(int64), optional): spk ids (1,). (Default value = None) - tone_id(Tensor, optional(int64), optional): tone ids (T,). (Default value = None) + spk_emb(Tensor, optional, optional): + peaker embedding vector (spk_embed_dim,). (Default value = None) + spk_id(Tensor, optional(int64), optional): + spk ids (1,). (Default value = None) + tone_id(Tensor, optional(int64), optional): + tone ids (T,). (Default value = None) Returns: - """ # input of embedding must be int64 x = paddle.cast(text, 'int64') @@ -720,8 +799,10 @@ class FastSpeech2(nn.Layer): """Integrate speaker embedding with hidden states. Args: - hs(Tensor): Batch of hidden state sequences (B, Tmax, adim). - spk_emb(Tensor): Batch of speaker embeddings (B, spk_embed_dim). + hs(Tensor): + Batch of hidden state sequences (B, Tmax, adim). + spk_emb(Tensor): + Batch of speaker embeddings (B, spk_embed_dim). Returns: @@ -745,8 +826,10 @@ class FastSpeech2(nn.Layer): """Integrate speaker embedding with hidden states. Args: - hs(Tensor): Batch of hidden state sequences (B, Tmax, adim). - tone_embs(Tensor): Batch of speaker embeddings (B, Tmax, tone_embed_dim). + hs(Tensor): + Batch of hidden state sequences (B, Tmax, adim). + tone_embs(Tensor): + Batch of speaker embeddings (B, Tmax, tone_embed_dim). Returns: @@ -769,10 +852,12 @@ class FastSpeech2(nn.Layer): """Make masks for self-attention. Args: - ilens(Tensor): Batch of lengths (B,). + ilens(Tensor): + Batch of lengths (B,). Returns: - Tensor: Mask tensor for self-attention. dtype=paddle.bool + Tensor: + Mask tensor for self-attention. dtype=paddle.bool Examples: >>> ilens = [5, 3] @@ -854,19 +939,32 @@ class StyleFastSpeech2Inference(FastSpeech2Inference): """ Args: - text(Tensor(int64)): Input sequence of characters (T,). - durations(paddle.Tensor/np.ndarray, optional (int64)): Groundtruth of duration (T,), this will overwrite the set of durations_scale and durations_bias + text(Tensor(int64)): + Input sequence of characters (T,). + durations(paddle.Tensor/np.ndarray, optional (int64)): + Groundtruth of duration (T,), this will overwrite the set of durations_scale and durations_bias durations_scale(int/float, optional): + durations_bias(int/float, optional): - pitch(paddle.Tensor/np.ndarray, optional): Groundtruth of token-averaged pitch (T, 1), this will overwrite the set of pitch_scale and pitch_bias - pitch_scale(int/float, optional): In denormed HZ domain. - pitch_bias(int/float, optional): In denormed HZ domain. - energy(paddle.Tensor/np.ndarray, optional): Groundtruth of token-averaged energy (T, 1), this will overwrite the set of energy_scale and energy_bias - energy_scale(int/float, optional): In denormed domain. - energy_bias(int/float, optional): In denormed domain. - robot: bool: (Default value = False) - spk_emb: (Default value = None) - spk_id: (Default value = None) + + pitch(paddle.Tensor/np.ndarray, optional): + Groundtruth of token-averaged pitch (T, 1), this will overwrite the set of pitch_scale and pitch_bias + pitch_scale(int/float, optional): + In denormed HZ domain. + pitch_bias(int/float, optional): + In denormed HZ domain. + energy(paddle.Tensor/np.ndarray, optional): + Groundtruth of token-averaged energy (T, 1), this will overwrite the set of energy_scale and energy_bias + energy_scale(int/float, optional): + In denormed domain. + energy_bias(int/float, optional): + In denormed domain. + robot(bool) (Default value = False): + + spk_emb(Default value = None): + + spk_id(Default value = None): + Returns: Tensor: logmel @@ -945,8 +1043,10 @@ class FastSpeech2Loss(nn.Layer): use_weighted_masking: bool=False): """Initialize feed-forward Transformer loss module. Args: - use_masking (bool): Whether to apply masking for padded part in loss calculation. - use_weighted_masking (bool): Whether to weighted masking in loss calculation. + use_masking (bool): + Whether to apply masking for padded part in loss calculation. + use_weighted_masking (bool): + Whether to weighted masking in loss calculation. """ assert check_argument_types() super().__init__() @@ -978,17 +1078,28 @@ class FastSpeech2Loss(nn.Layer): """Calculate forward propagation. Args: - after_outs(Tensor): Batch of outputs after postnets (B, Lmax, odim). - before_outs(Tensor): Batch of outputs before postnets (B, Lmax, odim). - d_outs(Tensor): Batch of outputs of duration predictor (B, Tmax). - p_outs(Tensor): Batch of outputs of pitch predictor (B, Tmax, 1). - e_outs(Tensor): Batch of outputs of energy predictor (B, Tmax, 1). - ys(Tensor): Batch of target features (B, Lmax, odim). - ds(Tensor): Batch of durations (B, Tmax). - ps(Tensor): Batch of target token-averaged pitch (B, Tmax, 1). - es(Tensor): Batch of target token-averaged energy (B, Tmax, 1). - ilens(Tensor): Batch of the lengths of each input (B,). - olens(Tensor): Batch of the lengths of each target (B,). + after_outs(Tensor): + Batch of outputs after postnets (B, Lmax, odim). + before_outs(Tensor): + Batch of outputs before postnets (B, Lmax, odim). + d_outs(Tensor): + Batch of outputs of duration predictor (B, Tmax). + p_outs(Tensor): + Batch of outputs of pitch predictor (B, Tmax, 1). + e_outs(Tensor): + Batch of outputs of energy predictor (B, Tmax, 1). + ys(Tensor): + Batch of target features (B, Lmax, odim). + ds(Tensor): + Batch of durations (B, Tmax). + ps(Tensor): + Batch of target token-averaged pitch (B, Tmax, 1). + es(Tensor): + Batch of target token-averaged energy (B, Tmax, 1). + ilens(Tensor): + Batch of the lengths of each input (B,). + olens(Tensor): + Batch of the lengths of each target (B,). Returns: diff --git a/paddlespeech/t2s/models/hifigan/hifigan.py b/paddlespeech/t2s/models/hifigan/hifigan.py index bea9dd9a3..7a01840e2 100644 --- a/paddlespeech/t2s/models/hifigan/hifigan.py +++ b/paddlespeech/t2s/models/hifigan/hifigan.py @@ -50,20 +50,34 @@ class HiFiGANGenerator(nn.Layer): init_type: str="xavier_uniform", ): """Initialize HiFiGANGenerator module. Args: - in_channels (int): Number of input channels. - out_channels (int): Number of output channels. - channels (int): Number of hidden representation channels. - global_channels (int): Number of global conditioning channels. - kernel_size (int): Kernel size of initial and final conv layer. - upsample_scales (list): List of upsampling scales. - upsample_kernel_sizes (list): List of kernel sizes for upsampling layers. - resblock_kernel_sizes (list): List of kernel sizes for residual blocks. - resblock_dilations (list): List of dilation list for residual blocks. - use_additional_convs (bool): Whether to use additional conv layers in residual blocks. - bias (bool): Whether to add bias parameter in convolution layers. - nonlinear_activation (str): Activation function module name. - nonlinear_activation_params (dict): Hyperparameters for activation function. - use_weight_norm (bool): Whether to use weight norm. + in_channels (int): + Number of input channels. + out_channels (int): + Number of output channels. + channels (int): + Number of hidden representation channels. + global_channels (int): + Number of global conditioning channels. + kernel_size (int): + Kernel size of initial and final conv layer. + upsample_scales (list): + List of upsampling scales. + upsample_kernel_sizes (list): + List of kernel sizes for upsampling layers. + resblock_kernel_sizes (list): + List of kernel sizes for residual blocks. + resblock_dilations (list): + List of dilation list for residual blocks. + use_additional_convs (bool): + Whether to use additional conv layers in residual blocks. + bias (bool): + Whether to add bias parameter in convolution layers. + nonlinear_activation (str): + Activation function module name. + nonlinear_activation_params (dict): + Hyperparameters for activation function. + use_weight_norm (bool): + Whether to use weight norm. If set to true, it will be applied to all of the conv layers. """ super().__init__() @@ -199,9 +213,10 @@ class HiFiGANGenerator(nn.Layer): def inference(self, c, g: Optional[paddle.Tensor]=None): """Perform inference. Args: - c (Tensor): Input tensor (T, in_channels). - normalize_before (bool): Whether to perform normalization. - g (Optional[Tensor]): Global conditioning tensor (global_channels, 1). + c (Tensor): + Input tensor (T, in_channels). + g (Optional[Tensor]): + Global conditioning tensor (global_channels, 1). Returns: Tensor: Output tensor (T ** prod(upsample_scales), out_channels). @@ -233,20 +248,33 @@ class HiFiGANPeriodDiscriminator(nn.Layer): """Initialize HiFiGANPeriodDiscriminator module. Args: - in_channels (int): Number of input channels. - out_channels (int): Number of output channels. - period (int): Period. - kernel_sizes (list): Kernel sizes of initial conv layers and the final conv layer. - channels (int): Number of initial channels. - downsample_scales (list): List of downsampling scales. - max_downsample_channels (int): Number of maximum downsampling channels. - use_additional_convs (bool): Whether to use additional conv layers in residual blocks. - bias (bool): Whether to add bias parameter in convolution layers. - nonlinear_activation (str): Activation function module name. - nonlinear_activation_params (dict): Hyperparameters for activation function. - use_weight_norm (bool): Whether to use weight norm. + in_channels (int): + Number of input channels. + out_channels (int): + Number of output channels. + period (int): + Period. + kernel_sizes (list): + Kernel sizes of initial conv layers and the final conv layer. + channels (int): + Number of initial channels. + downsample_scales (list): + List of downsampling scales. + max_downsample_channels (int): + Number of maximum downsampling channels. + use_additional_convs (bool): + Whether to use additional conv layers in residual blocks. + bias (bool): + Whether to add bias parameter in convolution layers. + nonlinear_activation (str): + Activation function module name. + nonlinear_activation_params (dict): + Hyperparameters for activation function. + use_weight_norm (bool): + Whether to use weight norm. If set to true, it will be applied to all of the conv layers. - use_spectral_norm (bool): Whether to use spectral norm. + use_spectral_norm (bool): + Whether to use spectral norm. If set to true, it will be applied to all of the conv layers. """ super().__init__() @@ -298,7 +326,8 @@ class HiFiGANPeriodDiscriminator(nn.Layer): """Calculate forward propagation. Args: - c (Tensor): Input tensor (B, in_channels, T). + c (Tensor): + Input tensor (B, in_channels, T). Returns: list: List of each layer's tensors. """ @@ -367,8 +396,10 @@ class HiFiGANMultiPeriodDiscriminator(nn.Layer): """Initialize HiFiGANMultiPeriodDiscriminator module. Args: - periods (list): List of periods. - discriminator_params (dict): Parameters for hifi-gan period discriminator module. + periods (list): + List of periods. + discriminator_params (dict): + Parameters for hifi-gan period discriminator module. The period parameter will be overwritten. """ super().__init__() @@ -385,7 +416,8 @@ class HiFiGANMultiPeriodDiscriminator(nn.Layer): """Calculate forward propagation. Args: - x (Tensor): Input noise signal (B, 1, T). + x (Tensor): + Input noise signal (B, 1, T). Returns: List: List of list of each discriminator outputs, which consists of each layer output tensors. """ @@ -417,16 +449,25 @@ class HiFiGANScaleDiscriminator(nn.Layer): """Initilize HiFiGAN scale discriminator module. Args: - in_channels (int): Number of input channels. - out_channels (int): Number of output channels. - kernel_sizes (list): List of four kernel sizes. The first will be used for the first conv layer, + in_channels (int): + Number of input channels. + out_channels (int): + Number of output channels. + kernel_sizes (list): + List of four kernel sizes. The first will be used for the first conv layer, and the second is for downsampling part, and the remaining two are for output layers. - channels (int): Initial number of channels for conv layer. - max_downsample_channels (int): Maximum number of channels for downsampling layers. - bias (bool): Whether to add bias parameter in convolution layers. - downsample_scales (list): List of downsampling scales. - nonlinear_activation (str): Activation function module name. - nonlinear_activation_params (dict): Hyperparameters for activation function. + channels (int): + Initial number of channels for conv layer. + max_downsample_channels (int): + Maximum number of channels for downsampling layers. + bias (bool): + Whether to add bias parameter in convolution layers. + downsample_scales (list): + List of downsampling scales. + nonlinear_activation (str): + Activation function module name. + nonlinear_activation_params (dict): + Hyperparameters for activation function. use_weight_norm (bool): Whether to use weight norm. If set to true, it will be applied to all of the conv layers. use_spectral_norm (bool): Whether to use spectral norm. @@ -614,7 +655,8 @@ class HiFiGANMultiScaleDiscriminator(nn.Layer): """Calculate forward propagation. Args: - x (Tensor): Input noise signal (B, 1, T). + x (Tensor): + Input noise signal (B, 1, T). Returns: List: List of list of each discriminator outputs, which consists of each layer output tensors. """ @@ -675,14 +717,21 @@ class HiFiGANMultiScaleMultiPeriodDiscriminator(nn.Layer): """Initilize HiFiGAN multi-scale + multi-period discriminator module. Args: - scales (int): Number of multi-scales. - scale_downsample_pooling (str): Pooling module name for downsampling of the inputs. - scale_downsample_pooling_params (dict): Parameters for the above pooling module. - scale_discriminator_params (dict): Parameters for hifi-gan scale discriminator module. - follow_official_norm （bool): Whether to follow the norm setting of the official implementaion. + scales (int): + Number of multi-scales. + scale_downsample_pooling (str): + Pooling module name for downsampling of the inputs. + scale_downsample_pooling_params (dict): + Parameters for the above pooling module. + scale_discriminator_params (dict): + Parameters for hifi-gan scale discriminator module. + follow_official_norm （bool): + Whether to follow the norm setting of the official implementaion. The first discriminator uses spectral norm and the other discriminators use weight norm. - periods (list): List of periods. - period_discriminator_params (dict): Parameters for hifi-gan period discriminator module. + periods (list): + List of periods. + period_discriminator_params (dict): + Parameters for hifi-gan period discriminator module. The period parameter will be overwritten. """ super().__init__() @@ -704,7 +753,8 @@ class HiFiGANMultiScaleMultiPeriodDiscriminator(nn.Layer): """Calculate forward propagation. Args: - x (Tensor): Input noise signal (B, 1, T). + x (Tensor): + Input noise signal (B, 1, T). Returns: List: List of list of each discriminator outputs, diff --git a/paddlespeech/t2s/models/melgan/melgan.py b/paddlespeech/t2s/models/melgan/melgan.py index 22d8fd9e7..058cf40d9 100644 --- a/paddlespeech/t2s/models/melgan/melgan.py +++ b/paddlespeech/t2s/models/melgan/melgan.py @@ -53,24 +53,38 @@ class MelGANGenerator(nn.Layer): """Initialize MelGANGenerator module. Args: - in_channels (int): Number of input channels. - out_channels (int): Number of output channels, + in_channels (int): + Number of input channels. + out_channels (int): + Number of output channels, the number of sub-band is out_channels in multi-band melgan. - kernel_size (int): Kernel size of initial and final conv layer. - channels (int): Initial number of channels for conv layer. - bias (bool): Whether to add bias parameter in convolution layers. - upsample_scales (List[int]): List of upsampling scales. - stack_kernel_size (int): Kernel size of dilated conv layers in residual stack. - stacks (int): Number of stacks in a single residual stack. - nonlinear_activation (Optional[str], optional): Non linear activation in upsample network, by default None - nonlinear_activation_params (Dict[str, Any], optional): Parameters passed to the linear activation in the upsample network, - by default {} - pad (str): Padding function module name before dilated convolution layer. - pad_params (dict): Hyperparameters for padding function. - use_final_nonlinear_activation (nn.Layer): Activation function for the final layer. - use_weight_norm (bool): Whether to use weight norm. + kernel_size (int): + Kernel size of initial and final conv layer. + channels (int): + Initial number of channels for conv layer. + bias (bool): + Whether to add bias parameter in convolution layers. + upsample_scales (List[int]): + List of upsampling scales. + stack_kernel_size (int): + Kernel size of dilated conv layers in residual stack. + stacks (int): + Number of stacks in a single residual stack. + nonlinear_activation (Optional[str], optional): + Non linear activation in upsample network, by default None + nonlinear_activation_params (Dict[str, Any], optional): + Parameters passed to the linear activation in the upsample network, by default {} + pad (str): + Padding function module name before dilated convolution layer. + pad_params (dict): + Hyperparameters for padding function. + use_final_nonlinear_activation (nn.Layer): + Activation function for the final layer. + use_weight_norm (bool): + Whether to use weight norm. If set to true, it will be applied to all of the conv layers. - use_causal_conv (bool): Whether to use causal convolution. + use_causal_conv (bool): + Whether to use causal convolution. """ super().__init__() @@ -194,7 +208,8 @@ class MelGANGenerator(nn.Layer): """Calculate forward propagation. Args: - c (Tensor): Input tensor (B, in_channels, T). + c (Tensor): + Input tensor (B, in_channels, T). Returns: Tensor: Output tensor (B, out_channels, T ** prod(upsample_scales)). """ @@ -244,7 +259,8 @@ class MelGANGenerator(nn.Layer): """Perform inference. Args: - c (Union[Tensor, ndarray]): Input tensor (T, in_channels). + c (Union[Tensor, ndarray]): + Input tensor (T, in_channels). Returns: Tensor: Output tensor (out_channels*T ** prod(upsample_scales), 1). """ @@ -279,20 +295,30 @@ class MelGANDiscriminator(nn.Layer): """Initilize MelGAN discriminator module. Args: - in_channels (int): Number of input channels. - out_channels (int): Number of output channels. + in_channels (int): + Number of input channels. + out_channels (int): + Number of output channels. kernel_sizes (List[int]): List of two kernel sizes. The prod will be used for the first conv layer, and the first and the second kernel sizes will be used for the last two layers. For example if kernel_sizes = [5, 3], the first layer kernel size will be 5 * 3 = 15, the last two layers' kernel size will be 5 and 3, respectively. - channels (int): Initial number of channels for conv layer. - max_downsample_channels (int): Maximum number of channels for downsampling layers. - bias (bool): Whether to add bias parameter in convolution layers. - downsample_scales (List[int]): List of downsampling scales. - nonlinear_activation (str): Activation function module name. - nonlinear_activation_params (dict): Hyperparameters for activation function. - pad (str): Padding function module name before dilated convolution layer. - pad_params (dict): Hyperparameters for padding function. + channels (int): + Initial number of channels for conv layer. + max_downsample_channels (int): + Maximum number of channels for downsampling layers. + bias (bool): + Whether to add bias parameter in convolution layers. + downsample_scales (List[int]): + List of downsampling scales. + nonlinear_activation (str): + Activation function module name. + nonlinear_activation_params (dict): + Hyperparameters for activation function. + pad (str): + Padding function module name before dilated convolution layer. + pad_params (dict): + Hyperparameters for padding function. """ super().__init__() @@ -364,7 +390,8 @@ class MelGANDiscriminator(nn.Layer): def forward(self, x): """Calculate forward propagation. Args: - x (Tensor): Input noise signal (B, 1, T). + x (Tensor): + Input noise signal (B, 1, T). Returns: List: List of output tensors of each layer (for feat_match_loss). """ @@ -406,22 +433,37 @@ class MelGANMultiScaleDiscriminator(nn.Layer): """Initilize MelGAN multi-scale discriminator module. Args: - in_channels (int): Number of input channels. - out_channels (int): Number of output channels. - scales (int): Number of multi-scales. - downsample_pooling (str): Pooling module name for downsampling of the inputs. - downsample_pooling_params (dict): Parameters for the above pooling module. - kernel_sizes (List[int]): List of two kernel sizes. The sum will be used for the first conv layer, + in_channels (int): + Number of input channels. + out_channels (int): + Number of output channels. + scales (int): + Number of multi-scales. + downsample_pooling (str): + Pooling module name for downsampling of the inputs. + downsample_pooling_params (dict): + Parameters for the above pooling module. + kernel_sizes (List[int]): + List of two kernel sizes. The sum will be used for the first conv layer, and the first and the second kernel sizes will be used for the last two layers. - channels (int): Initial number of channels for conv layer. - max_downsample_channels (int): Maximum number of channels for downsampling layers. - bias (bool): Whether to add bias parameter in convolution layers. - downsample_scales (List[int]): List of downsampling scales. - nonlinear_activation (str): Activation function module name. - nonlinear_activation_params (dict): Hyperparameters for activation function. - pad (str): Padding function module name before dilated convolution layer. - pad_params (dict): Hyperparameters for padding function. - use_causal_conv (bool): Whether to use causal convolution. + channels (int): + Initial number of channels for conv layer. + max_downsample_channels (int): + Maximum number of channels for downsampling layers. + bias (bool): + Whether to add bias parameter in convolution layers. + downsample_scales (List[int]): + List of downsampling scales. + nonlinear_activation (str): + Activation function module name. + nonlinear_activation_params (dict): + Hyperparameters for activation function. + pad (str): + Padding function module name before dilated convolution layer. + pad_params (dict): + Hyperparameters for padding function. + use_causal_conv (bool): + Whether to use causal convolution. """ super().__init__() @@ -464,7 +506,8 @@ class MelGANMultiScaleDiscriminator(nn.Layer): def forward(self, x): """Calculate forward propagation. Args: - x (Tensor): Input noise signal (B, 1, T). + x (Tensor): + Input noise signal (B, 1, T). Returns: List: List of list of each discriminator outputs, which consists of each layer output tensors. """ diff --git a/paddlespeech/t2s/models/melgan/style_melgan.py b/paddlespeech/t2s/models/melgan/style_melgan.py index 40a2f1009..d902a4b01 100644 --- a/paddlespeech/t2s/models/melgan/style_melgan.py +++ b/paddlespeech/t2s/models/melgan/style_melgan.py @@ -54,20 +54,34 @@ class StyleMelGANGenerator(nn.Layer): """Initilize Style MelGAN generator. Args: - in_channels (int): Number of input noise channels. - aux_channels (int): Number of auxiliary input channels. - channels (int): Number of channels for conv layer. - out_channels (int): Number of output channels. - kernel_size (int): Kernel size of conv layers. - dilation (int): Dilation factor for conv layers. - bias (bool): Whether to add bias parameter in convolution layers. - noise_upsample_scales (list): List of noise upsampling scales. - noise_upsample_activation (str): Activation function module name for noise upsampling. - noise_upsample_activation_params (dict): Hyperparameters for the above activation function. - upsample_scales (list): List of upsampling scales. - upsample_mode (str): Upsampling mode in TADE layer. - gated_function (str): Gated function in TADEResBlock ("softmax" or "sigmoid"). - use_weight_norm (bool): Whether to use weight norm. + in_channels (int): + Number of input noise channels. + aux_channels (int): + Number of auxiliary input channels. + channels (int): + Number of channels for conv layer. + out_channels (int): + Number of output channels. + kernel_size (int): + Kernel size of conv layers. + dilation (int): + Dilation factor for conv layers. + bias (bool): + Whether to add bias parameter in convolution layers. + noise_upsample_scales (list): + List of noise upsampling scales. + noise_upsample_activation (str): + Activation function module name for noise upsampling. + noise_upsample_activation_params (dict): + Hyperparameters for the above activation function. + upsample_scales (list): + List of upsampling scales. + upsample_mode (str): + Upsampling mode in TADE layer. + gated_function (str): + Gated function in TADEResBlock ("softmax" or "sigmoid"). + use_weight_norm (bool): + Whether to use weight norm. If set to true, it will be applied to all of the conv layers. """ super().__init__() @@ -194,7 +208,8 @@ class StyleMelGANGenerator(nn.Layer): def inference(self, c): """Perform inference. Args: - c (Tensor): Input tensor (T, in_channels). + c (Tensor): + Input tensor (T, in_channels). Returns: Tensor: Output tensor (T ** prod(upsample_scales), out_channels). """ @@ -258,11 +273,16 @@ class StyleMelGANDiscriminator(nn.Layer): """Initilize Style MelGAN discriminator. Args: - repeats (int): Number of repititons to apply RWD. - window_sizes (list): List of random window sizes. - pqmf_params (list): List of list of Parameters for PQMF modules - discriminator_params (dict): Parameters for base discriminator module. - use_weight_nom (bool): Whether to apply weight normalization. + repeats (int): + Number of repititons to apply RWD. + window_sizes (list): + List of random window sizes. + pqmf_params (list): + List of list of Parameters for PQMF modules + discriminator_params (dict): + Parameters for base discriminator module. + use_weight_nom (bool): + Whether to apply weight normalization. """ super().__init__() @@ -299,7 +319,8 @@ class StyleMelGANDiscriminator(nn.Layer): def forward(self, x): """Calculate forward propagation. Args: - x (Tensor): Input tensor (B, 1, T). + x (Tensor): + Input tensor (B, 1, T). Returns: List: List of discriminator outputs, #items in the list will be equal to repeats * #discriminators. diff --git a/paddlespeech/t2s/models/parallel_wavegan/parallel_wavegan.py b/paddlespeech/t2s/models/parallel_wavegan/parallel_wavegan.py index cc8460e4d..be306d9cc 100644 --- a/paddlespeech/t2s/models/parallel_wavegan/parallel_wavegan.py +++ b/paddlespeech/t2s/models/parallel_wavegan/parallel_wavegan.py @@ -32,29 +32,45 @@ class PWGGenerator(nn.Layer): """Wave Generator for Parallel WaveGAN Args: - in_channels (int, optional): Number of channels of the input waveform, by default 1 - out_channels (int, optional): Number of channels of the output waveform, by default 1 - kernel_size (int, optional): Kernel size of the residual blocks inside, by default 3 - layers (int, optional): Number of residual blocks inside, by default 30 - stacks (int, optional): The number of groups to split the residual blocks into, by default 3 + in_channels (int, optional): + Number of channels of the input waveform, by default 1 + out_channels (int, optional): + Number of channels of the output waveform, by default 1 + kernel_size (int, optional): + Kernel size of the residual blocks inside, by default 3 + layers (int, optional): + Number of residual blocks inside, by default 30 + stacks (int, optional): + The number of groups to split the residual blocks into, by default 3 Within each group, the dilation of the residual block grows exponentially. - residual_channels (int, optional): Residual channel of the residual blocks, by default 64 - gate_channels (int, optional): Gate channel of the residual blocks, by default 128 - skip_channels (int, optional): Skip channel of the residual blocks, by default 64 - aux_channels (int, optional): Auxiliary channel of the residual blocks, by default 80 - aux_context_window (int, optional): The context window size of the first convolution applied to the - auxiliary input, by default 2 - dropout (float, optional): Dropout of the residual blocks, by default 0. - bias (bool, optional): Whether to use bias in residual blocks, by default True - use_weight_norm (bool, optional): Whether to use weight norm in all convolutions, by default True - use_causal_conv (bool, optional): Whether to use causal padding in the upsample network and residual - blocks, by default False - upsample_scales (List[int], optional): Upsample scales of the upsample network, by default [4, 4, 4, 4] - nonlinear_activation (Optional[str], optional): Non linear activation in upsample network, by default None - nonlinear_activation_params (Dict[str, Any], optional): Parameters passed to the linear activation in the upsample network, - by default {} - interpolate_mode (str, optional): Interpolation mode of the upsample network, by default "nearest" - freq_axis_kernel_size (int, optional): Kernel size along the frequency axis of the upsample network, by default 1 + residual_channels (int, optional): + Residual channel of the residual blocks, by default 64 + gate_channels (int, optional): + Gate channel of the residual blocks, by default 128 + skip_channels (int, optional): + Skip channel of the residual blocks, by default 64 + aux_channels (int, optional): + Auxiliary channel of the residual blocks, by default 80 + aux_context_window (int, optional): + The context window size of the first convolution applied to the auxiliary input, by default 2 + dropout (float, optional): + Dropout of the residual blocks, by default 0. + bias (bool, optional): + Whether to use bias in residual blocks, by default True + use_weight_norm (bool, optional): + Whether to use weight norm in all convolutions, by default True + use_causal_conv (bool, optional): + Whether to use causal padding in the upsample network and residual blocks, by default False + upsample_scales (List[int], optional): + Upsample scales of the upsample network, by default [4, 4, 4, 4] + nonlinear_activation (Optional[str], optional): + Non linear activation in upsample network, by default None + nonlinear_activation_params (Dict[str, Any], optional): + Parameters passed to the linear activation in the upsample network, by default {} + interpolate_mode (str, optional): + Interpolation mode of the upsample network, by default "nearest" + freq_axis_kernel_size (int, optional): + Kernel size along the frequency axis of the upsample network, by default 1 """ def __init__( @@ -147,9 +163,11 @@ class PWGGenerator(nn.Layer): """Generate waveform. Args: - x(Tensor): Shape (N, C_in, T), The input waveform. - c(Tensor): Shape (N, C_aux, T'). The auxiliary input (e.g. spectrogram). It - is upsampled to match the time resolution of the input. + x(Tensor): + Shape (N, C_in, T), The input waveform. + c(Tensor): + Shape (N, C_aux, T'). The auxiliary input (e.g. spectrogram). + It is upsampled to match the time resolution of the input. Returns: Tensor: Shape (N, C_out, T), the generated waveform. @@ -195,8 +213,10 @@ class PWGGenerator(nn.Layer): """Waveform generation. This function is used for single instance inference. Args: - c(Tensor, optional, optional): Shape (T', C_aux), the auxiliary input, by default None - x(Tensor, optional): Shape (T, C_in), the noise waveform, by default None + c(Tensor, optional, optional): + Shape (T', C_aux), the auxiliary input, by default None + x(Tensor, optional): + Shape (T, C_in), the noise waveform, by default None Returns: Tensor: Shape (T, C_out), the generated waveform @@ -214,20 +234,28 @@ class PWGDiscriminator(nn.Layer): """A convolutional discriminator for audio. Args: - in_channels (int, optional): Number of channels of the input audio, by default 1 - out_channels (int, optional): Output feature size, by default 1 - kernel_size (int, optional): Kernel size of convolutional sublayers, by default 3 - layers (int, optional): Number of layers, by default 10 - conv_channels (int, optional): Feature size of the convolutional sublayers, by default 64 - dilation_factor (int, optional): The factor with which dilation of each convolutional sublayers grows + in_channels (int, optional): + Number of channels of the input audio, by default 1 + out_channels (int, optional): + Output feature size, by default 1 + kernel_size (int, optional): + Kernel size of convolutional sublayers, by default 3 + layers (int, optional): + Number of layers, by default 10 + conv_channels (int, optional): + Feature size of the convolutional sublayers, by default 64 + dilation_factor (int, optional): + The factor with which dilation of each convolutional sublayers grows exponentially if it is greater than 1, else the dilation of each convolutional sublayers grows linearly, by default 1 - nonlinear_activation (str, optional): The activation after each convolutional sublayer, by default "leakyrelu" - nonlinear_activation_params (Dict[str, Any], optional): The parameters passed to the activation's initializer, by default - {"negative_slope": 0.2} - bias (bool, optional): Whether to use bias in convolutional sublayers, by default True - use_weight_norm (bool, optional): Whether to use weight normalization at all convolutional sublayers, - by default True + nonlinear_activation (str, optional): + The activation after each convolutional sublayer, by default "leakyrelu" + nonlinear_activation_params (Dict[str, Any], optional): + The parameters passed to the activation's initializer, by default {"negative_slope": 0.2} + bias (bool, optional): + Whether to use bias in convolutional sublayers, by default True + use_weight_norm (bool, optional): + Whether to use weight normalization at all convolutional sublayers, by default True """ def __init__( @@ -290,7 +318,8 @@ class PWGDiscriminator(nn.Layer): """ Args: - x (Tensor): Shape (N, in_channels, num_samples), the input audio. + x (Tensor): + Shape (N, in_channels, num_samples), the input audio. Returns: Tensor: Shape (N, out_channels, num_samples), the predicted logits. @@ -318,24 +347,35 @@ class ResidualPWGDiscriminator(nn.Layer): """A wavenet-style discriminator for audio. Args: - in_channels (int, optional): Number of channels of the input audio, by default 1 - out_channels (int, optional): Output feature size, by default 1 - kernel_size (int, optional): Kernel size of residual blocks, by default 3 - layers (int, optional): Number of residual blocks, by default 30 - stacks (int, optional): Number of groups of residual blocks, within which the dilation + in_channels (int, optional): + Number of channels of the input audio, by default 1 + out_channels (int, optional): + Output feature size, by default 1 + kernel_size (int, optional): + Kernel size of residual blocks, by default 3 + layers (int, optional): + Number of residual blocks, by default 30 + stacks (int, optional): + Number of groups of residual blocks, within which the dilation of each residual blocks grows exponentially, by default 3 - residual_channels (int, optional): Residual channels of residual blocks, by default 64 - gate_channels (int, optional): Gate channels of residual blocks, by default 128 - skip_channels (int, optional): Skip channels of residual blocks, by default 64 - dropout (float, optional): Dropout probability of residual blocks, by default 0. - bias (bool, optional): Whether to use bias in residual blocks, by default True - use_weight_norm (bool, optional): Whether to use weight normalization in all convolutional layers, - by default True - use_causal_conv (bool, optional): Whether to use causal convolution in residual blocks, by default False - nonlinear_activation (str, optional): Activation after convolutions other than those in residual blocks, - by default "leakyrelu" - nonlinear_activation_params (Dict[str, Any], optional): Parameters to pass to the activation, - by default {"negative_slope": 0.2} + residual_channels (int, optional): + Residual channels of residual blocks, by default 64 + gate_channels (int, optional): + Gate channels of residual blocks, by default 128 + skip_channels (int, optional): + Skip channels of residual blocks, by default 64 + dropout (float, optional): + Dropout probability of residual blocks, by default 0. + bias (bool, optional): + Whether to use bias in residual blocks, by default True + use_weight_norm (bool, optional): + Whether to use weight normalization in all convolutional layers, by default True + use_causal_conv (bool, optional): + Whether to use causal convolution in residual blocks, by default False + nonlinear_activation (str, optional): + Activation after convolutions other than those in residual blocks, by default "leakyrelu" + nonlinear_activation_params (Dict[str, Any], optional): + Parameters to pass to the activation, by default {"negative_slope": 0.2} """ def __init__( @@ -405,7 +445,8 @@ class ResidualPWGDiscriminator(nn.Layer): def forward(self, x): """ Args: - x(Tensor): Shape (N, in_channels, num_samples), the input audio.↩ + x(Tensor): + Shape (N, in_channels, num_samples), the input audio.↩ Returns: Tensor: Shape (N, out_channels, num_samples), the predicted logits. diff --git a/paddlespeech/t2s/models/speedyspeech/speedyspeech.py b/paddlespeech/t2s/models/speedyspeech/speedyspeech.py index ed7c0b7e4..395ad6917 100644 --- a/paddlespeech/t2s/models/speedyspeech/speedyspeech.py +++ b/paddlespeech/t2s/models/speedyspeech/speedyspeech.py @@ -29,10 +29,14 @@ class ResidualBlock(nn.Layer): n: int=2): """SpeedySpeech encoder module. Args: - channels (int, optional): Feature size of the residual output(and also the input). - kernel_size (int, optional): Kernel size of the 1D convolution. - dilation (int, optional): Dilation of the 1D convolution. - n (int): Number of blocks. + channels (int, optional): + Feature size of the residual output(and also the input). + kernel_size (int, optional): + Kernel size of the 1D convolution. + dilation (int, optional): + Dilation of the 1D convolution. + n (int): + Number of blocks. """ super().__init__() @@ -57,7 +61,8 @@ class ResidualBlock(nn.Layer): def forward(self, x: paddle.Tensor): """Calculate forward propagation. Args: - x(Tensor): Batch of input sequences (B, hidden_size, Tmax). + x(Tensor): + Batch of input sequences (B, hidden_size, Tmax). Returns: Tensor: The residual output (B, hidden_size, Tmax). """ @@ -89,8 +94,10 @@ class TextEmbedding(nn.Layer): def forward(self, text: paddle.Tensor, tone: paddle.Tensor=None): """Calculate forward propagation. Args: - text(Tensor(int64)): Batch of padded token ids (B, Tmax). - tones(Tensor, optional(int64)): Batch of padded tone ids (B, Tmax). + text(Tensor(int64)): + Batch of padded token ids (B, Tmax). + tones(Tensor, optional(int64)): + Batch of padded tone ids (B, Tmax). Returns: Tensor: The residual output (B, Tmax, embedding_size). """ @@ -109,12 +116,18 @@ class TextEmbedding(nn.Layer): class SpeedySpeechEncoder(nn.Layer): """SpeedySpeech encoder module. Args: - vocab_size (int): Dimension of the inputs. - tone_size (Optional[int]): Number of tones. - hidden_size (int): Number of encoder hidden units. - kernel_size (int): Kernel size of encoder. - dilations (List[int]): Dilations of encoder. - spk_num (Optional[int]): Number of speakers. + vocab_size (int): + Dimension of the inputs. + tone_size (Optional[int]): + Number of tones. + hidden_size (int): + Number of encoder hidden units. + kernel_size (int): + Kernel size of encoder. + dilations (List[int]): + Dilations of encoder. + spk_num (Optional[int]): + Number of speakers. """ def __init__(self, @@ -161,9 +174,12 @@ class SpeedySpeechEncoder(nn.Layer): spk_id: paddle.Tensor=None): """Encoder input sequence. Args: - text(Tensor(int64)): Batch of padded token ids (B, Tmax). - tones(Tensor, optional(int64)): Batch of padded tone ids (B, Tmax). - spk_id(Tnesor, optional(int64)): Batch of speaker ids (B,) + text(Tensor(int64)): + Batch of padded token ids (B, Tmax). + tones(Tensor, optional(int64)): + Batch of padded tone ids (B, Tmax). + spk_id(Tnesor, optional(int64)): + Batch of speaker ids (B,) Returns: Tensor: Output tensor (B, Tmax, hidden_size). @@ -192,7 +208,8 @@ class DurationPredictor(nn.Layer): def forward(self, x: paddle.Tensor): """Calculate forward propagation. Args: - x(Tensor): Batch of input sequences (B, Tmax, hidden_size). + x(Tensor): + Batch of input sequences (B, Tmax, hidden_size). Returns: Tensor: Batch of predicted durations in log domain (B, Tmax). @@ -212,10 +229,14 @@ class SpeedySpeechDecoder(nn.Layer): ]): """SpeedySpeech decoder module. Args: - hidden_size (int): Number of decoder hidden units. - kernel_size (int): Kernel size of decoder. - output_size (int): Dimension of the outputs. - dilations (List[int]): Dilations of decoder. + hidden_size (int): + Number of decoder hidden units. + kernel_size (int): + Kernel size of decoder. + output_size (int): + Dimension of the outputs. + dilations (List[int]): + Dilations of decoder. """ super().__init__() res_blocks = [ @@ -230,7 +251,8 @@ class SpeedySpeechDecoder(nn.Layer): def forward(self, x): """Decoder input sequence. Args: - x(Tensor): Input tensor (B, time, hidden_size). + x(Tensor): + Input tensor (B, time, hidden_size). Returns: Tensor: Output tensor (B, time, output_size). @@ -261,18 +283,30 @@ class SpeedySpeech(nn.Layer): positional_dropout_rate: int=0.1): """Initialize SpeedySpeech module. Args: - vocab_size (int): Dimension of the inputs. - encoder_hidden_size (int): Number of encoder hidden units. - encoder_kernel_size (int): Kernel size of encoder. - encoder_dilations (List[int]): Dilations of encoder. - duration_predictor_hidden_size (int): Number of duration predictor hidden units. - decoder_hidden_size (int): Number of decoder hidden units. - decoder_kernel_size (int): Kernel size of decoder. - decoder_dilations (List[int]): Dilations of decoder. - decoder_output_size (int): Dimension of the outputs. - tone_size (Optional[int]): Number of tones. - spk_num (Optional[int]): Number of speakers. - init_type (str): How to initialize transformer parameters. + vocab_size (int): + Dimension of the inputs. + encoder_hidden_size (int): + Number of encoder hidden units. + encoder_kernel_size (int): + Kernel size of encoder. + encoder_dilations (List[int]): + Dilations of encoder. + duration_predictor_hidden_size (int): + Number of duration predictor hidden units. + decoder_hidden_size (int): + Number of decoder hidden units. + decoder_kernel_size (int): + Kernel size of decoder. + decoder_dilations (List[int]): + Dilations of decoder. + decoder_output_size (int): + Dimension of the outputs. + tone_size (Optional[int]): + Number of tones. + spk_num (Optional[int]): + Number of speakers. + init_type (str): + How to initialize transformer parameters. """ super().__init__() @@ -304,14 +338,20 @@ class SpeedySpeech(nn.Layer): spk_id: paddle.Tensor=None): """Calculate forward propagation. Args: - text(Tensor(int64)): Batch of padded token ids (B, Tmax). - durations(Tensor(int64)): Batch of padded durations (B, Tmax). - tones(Tensor, optional(int64)): Batch of padded tone ids (B, Tmax). - spk_id(Tnesor, optional(int64)): Batch of speaker ids (B,) + text(Tensor(int64)): + Batch of padded token ids (B, Tmax). + durations(Tensor(int64)): + Batch of padded durations (B, Tmax). + tones(Tensor, optional(int64)): + Batch of padded tone ids (B, Tmax). + spk_id(Tnesor, optional(int64)): + Batch of speaker ids (B,) Returns: - Tensor: Output tensor (B, T_frames, decoder_output_size). - Tensor: Predicted durations (B, Tmax). + Tensor: + Output tensor (B, T_frames, decoder_output_size). + Tensor: + Predicted durations (B, Tmax). """ # input of embedding must be int64 text = paddle.cast(text, 'int64') @@ -336,10 +376,14 @@ class SpeedySpeech(nn.Layer): spk_id: paddle.Tensor=None): """Generate the sequence of features given the sequences of characters. Args: - text(Tensor(int64)): Input sequence of characters (T,). - tones(Tensor, optional(int64)): Batch of padded tone ids (T, ). - durations(Tensor, optional (int64)): Groundtruth of duration (T,). - spk_id(Tensor, optional(int64), optional): spk ids (1,). (Default value = None) + text(Tensor(int64)): + Input sequence of characters (T,). + tones(Tensor, optional(int64)): + Batch of padded tone ids (T, ). + durations(Tensor, optional (int64)): + Groundtruth of duration (T,). + spk_id(Tensor, optional(int64), optional): + spk ids (1,). (Default value = None) Returns: Tensor: logmel (T, decoder_output_size). diff --git a/paddlespeech/t2s/models/tacotron2/tacotron2.py b/paddlespeech/t2s/models/tacotron2/tacotron2.py index 7b306e482..25b5c932a 100644 --- a/paddlespeech/t2s/models/tacotron2/tacotron2.py +++ b/paddlespeech/t2s/models/tacotron2/tacotron2.py @@ -83,38 +83,67 @@ class Tacotron2(nn.Layer): init_type: str="xavier_uniform", ): """Initialize Tacotron2 module. Args: - idim (int): Dimension of the inputs. - odim (int): Dimension of the outputs. - embed_dim (int): Dimension of the token embedding. - elayers (int): Number of encoder blstm layers. - eunits (int): Number of encoder blstm units. - econv_layers (int): Number of encoder conv layers. - econv_filts (int): Number of encoder conv filter size. - econv_chans (int): Number of encoder conv filter channels. - dlayers (int): Number of decoder lstm layers. - dunits (int): Number of decoder lstm units. - prenet_layers (int): Number of prenet layers. - prenet_units (int): Number of prenet units. - postnet_layers (int): Number of postnet layers. - postnet_filts (int): Number of postnet filter size. - postnet_chans (int): Number of postnet filter channels. - output_activation (str): Name of activation function for outputs. - adim (int): Number of dimension of mlp in attention. - aconv_chans (int): Number of attention conv filter channels. - aconv_filts (int): Number of attention conv filter size. - cumulate_att_w (bool): Whether to cumulate previous attention weight. - use_batch_norm (bool): Whether to use batch normalization. - use_concate (bool): Whether to concat enc outputs w/ dec lstm outputs. - reduction_factor (int): Reduction factor. - spk_num (Optional[int]): Number of speakers. If set to > 1, assume that the + idim (int): + Dimension of the inputs. + odim (int): + Dimension of the outputs. + embed_dim (int): + Dimension of the token embedding. + elayers (int): + Number of encoder blstm layers. + eunits (int): + Number of encoder blstm units. + econv_layers (int): + Number of encoder conv layers. + econv_filts (int): + Number of encoder conv filter size. + econv_chans (int): + Number of encoder conv filter channels. + dlayers (int): + Number of decoder lstm layers. + dunits (int): + Number of decoder lstm units. + prenet_layers (int): + Number of prenet layers. + prenet_units (int): + Number of prenet units. + postnet_layers (int): + Number of postnet layers. + postnet_filts (int): + Number of postnet filter size. + postnet_chans (int): + Number of postnet filter channels. + output_activation (str): + Name of activation function for outputs. + adim (int): + Number of dimension of mlp in attention. + aconv_chans (int): + Number of attention conv filter channels. + aconv_filts (int): + Number of attention conv filter size. + cumulate_att_w (bool): + Whether to cumulate previous attention weight. + use_batch_norm (bool): + Whether to use batch normalization. + use_concate (bool): + Whether to concat enc outputs w/ dec lstm outputs. + reduction_factor (int): + Reduction factor. + spk_num (Optional[int]): + Number of speakers. If set to > 1, assume that the sids will be provided as the input and use sid embedding layer. - lang_num (Optional[int]): Number of languages. If set to > 1, assume that the + lang_num (Optional[int]): + Number of languages. If set to > 1, assume that the lids will be provided as the input and use sid embedding layer. - spk_embed_dim (Optional[int]): Speaker embedding dimension. If set to > 0, + spk_embed_dim (Optional[int]): + Speaker embedding dimension. If set to > 0, assume that spk_emb will be provided as the input. - spk_embed_integration_type (str): How to integrate speaker embedding. - dropout_rate (float): Dropout rate. - zoneout_rate (float): Zoneout rate. + spk_embed_integration_type (str): + How to integrate speaker embedding. + dropout_rate (float): + Dropout rate. + zoneout_rate (float): + Zoneout rate. """ assert check_argument_types() super().__init__() @@ -230,18 +259,28 @@ class Tacotron2(nn.Layer): """Calculate forward propagation. Args: - text (Tensor(int64)): Batch of padded character ids (B, T_text). - text_lengths (Tensor(int64)): Batch of lengths of each input batch (B,). - speech (Tensor): Batch of padded target features (B, T_feats, odim). - speech_lengths (Tensor(int64)): Batch of the lengths of each target (B,). - spk_emb (Optional[Tensor]): Batch of speaker embeddings (B, spk_embed_dim). - spk_id (Optional[Tensor]): Batch of speaker IDs (B, 1). - lang_id (Optional[Tensor]): Batch of language IDs (B, 1). + text (Tensor(int64)): + Batch of padded character ids (B, T_text). + text_lengths (Tensor(int64)): + Batch of lengths of each input batch (B,). + speech (Tensor): + Batch of padded target features (B, T_feats, odim). + speech_lengths (Tensor(int64)): + Batch of the lengths of each target (B,). + spk_emb (Optional[Tensor]): + Batch of speaker embeddings (B, spk_embed_dim). + spk_id (Optional[Tensor]): + Batch of speaker IDs (B, 1). + lang_id (Optional[Tensor]): + Batch of language IDs (B, 1). Returns: - Tensor: Loss scalar value. - Dict: Statistics to be monitored. - Tensor: Weight value if not joint training else model outputs. + Tensor: + Loss scalar value. + Dict: + Statistics to be monitored. + Tensor: + Weight value if not joint training else model outputs. """ text = text[:, :text_lengths.max()] @@ -329,18 +368,30 @@ class Tacotron2(nn.Layer): """Generate the sequence of features given the sequences of characters. Args: - text (Tensor(int64)): Input sequence of characters (T_text,). - speech (Optional[Tensor]): Feature sequence to extract style (N, idim). - spk_emb (ptional[Tensor]): Speaker embedding (spk_embed_dim,). - spk_id (Optional[Tensor]): Speaker ID (1,). - lang_id (Optional[Tensor]): Language ID (1,). - threshold (float): Threshold in inference. - minlenratio (float): Minimum length ratio in inference. - maxlenratio (float): Maximum length ratio in inference. - use_att_constraint (bool): Whether to apply attention constraint. - backward_window (int): Backward window in attention constraint. - forward_window (int): Forward window in attention constraint. - use_teacher_forcing (bool): Whether to use teacher forcing. + text (Tensor(int64)): + Input sequence of characters (T_text,). + speech (Optional[Tensor]): + Feature sequence to extract style (N, idim). + spk_emb (ptional[Tensor]): + Speaker embedding (spk_embed_dim,). + spk_id (Optional[Tensor]): + Speaker ID (1,). + lang_id (Optional[Tensor]): + Language ID (1,). + threshold (float): + Threshold in inference. + minlenratio (float): + Minimum length ratio in inference. + maxlenratio (float): + Maximum length ratio in inference. + use_att_constraint (bool): + Whether to apply attention constraint. + backward_window (int): + Backward window in attention constraint. + forward_window (int): + Forward window in attention constraint. + use_teacher_forcing (bool): + Whether to use teacher forcing. Returns: Dict[str, Tensor] diff --git a/paddlespeech/t2s/models/transformer_tts/transformer_tts.py b/paddlespeech/t2s/models/transformer_tts/transformer_tts.py index 92754c30a..355fceb16 100644 --- a/paddlespeech/t2s/models/transformer_tts/transformer_tts.py +++ b/paddlespeech/t2s/models/transformer_tts/transformer_tts.py @@ -49,66 +49,124 @@ class TransformerTTS(nn.Layer): https://arxiv.org/pdf/1809.08895.pdf Args: - idim (int): Dimension of the inputs. - odim (int): Dimension of the outputs. - embed_dim (int, optional): Dimension of character embedding. - eprenet_conv_layers (int, optional): Number of encoder prenet convolution layers. - eprenet_conv_chans (int, optional): Number of encoder prenet convolution channels. - eprenet_conv_filts (int, optional): Filter size of encoder prenet convolution. - dprenet_layers (int, optional): Number of decoder prenet layers. - dprenet_units (int, optional): Number of decoder prenet hidden units. - elayers (int, optional): Number of encoder layers. - eunits (int, optional): Number of encoder hidden units. - adim (int, optional): Number of attention transformation dimensions. - aheads (int, optional): Number of heads for multi head attention. - dlayers (int, optional): Number of decoder layers. - dunits (int, optional): Number of decoder hidden units. - postnet_layers (int, optional): Number of postnet layers. - postnet_chans (int, optional): Number of postnet channels. - postnet_filts (int, optional): Filter size of postnet. - use_scaled_pos_enc (pool, optional): Whether to use trainable scaled positional encoding. - use_batch_norm (bool, optional): Whether to use batch normalization in encoder prenet. - encoder_normalize_before (bool, optional): Whether to perform layer normalization before encoder block. - decoder_normalize_before (bool, optional): Whether to perform layer normalization before decoder block. - encoder_concat_after (bool, optional): Whether to concatenate attention layer's input and output in encoder. - decoder_concat_after (bool, optional): Whether to concatenate attention layer's input and output in decoder. - positionwise_layer_type (str, optional): Position-wise operation type. - positionwise_conv_kernel_size (int, optional): Kernel size in position wise conv 1d. - reduction_factor (int, optional): Reduction factor. - spk_embed_dim (int, optional): Number of speaker embedding dimenstions. - spk_embed_integration_type (str, optional): How to integrate speaker embedding. - use_gst (str, optional): Whether to use global style token. - gst_tokens (int, optional): The number of GST embeddings. - gst_heads (int, optional): The number of heads in GST multihead attention. - gst_conv_layers (int, optional): The number of conv layers in GST. - gst_conv_chans_list (Sequence[int], optional): List of the number of channels of conv layers in GST. - gst_conv_kernel_size (int, optional): Kernal size of conv layers in GST. - gst_conv_stride (int, optional): Stride size of conv layers in GST. - gst_gru_layers (int, optional): The number of GRU layers in GST. - gst_gru_units (int, optional): The number of GRU units in GST. - transformer_lr (float, optional): Initial value of learning rate. - transformer_warmup_steps (int, optional): Optimizer warmup steps. - transformer_enc_dropout_rate (float, optional): Dropout rate in encoder except attention and positional encoding. - transformer_enc_positional_dropout_rate (float, optional): Dropout rate after encoder positional encoding. - transformer_enc_attn_dropout_rate （float, optional): Dropout rate in encoder self-attention module. - transformer_dec_dropout_rate (float, optional): Dropout rate in decoder except attention & positional encoding. - transformer_dec_positional_dropout_rate (float, optional): Dropout rate after decoder positional encoding. - transformer_dec_attn_dropout_rate （float, optional): Dropout rate in deocoder self-attention module. - transformer_enc_dec_attn_dropout_rate (float, optional): Dropout rate in encoder-deocoder attention module. - init_type (str, optional): How to initialize transformer parameters. - init_enc_alpha （float, optional）: Initial value of alpha in scaled pos encoding of the encoder. - init_dec_alpha (float, optional): Initial value of alpha in scaled pos encoding of the decoder. - eprenet_dropout_rate (float, optional): Dropout rate in encoder prenet. - dprenet_dropout_rate (float, optional): Dropout rate in decoder prenet. - postnet_dropout_rate (float, optional): Dropout rate in postnet. - use_masking (bool, optional): Whether to apply masking for padded part in loss calculation. - use_weighted_masking (bool, optional): Whether to apply weighted masking in loss calculation. - bce_pos_weight (float, optional): Positive sample weight in bce calculation (only for use_masking=true). - loss_type (str, optional): How to calculate loss. - use_guided_attn_loss (bool, optional): Whether to use guided attention loss. - num_heads_applied_guided_attn (int, optional): Number of heads in each layer to apply guided attention loss. - num_layers_applied_guided_attn (int, optional): Number of layers to apply guided attention loss. - List of module names to apply guided attention loss. + idim (int): + Dimension of the inputs. + odim (int): + Dimension of the outputs. + embed_dim (int, optional): + Dimension of character embedding. + eprenet_conv_layers (int, optional): + Number of encoder prenet convolution layers. + eprenet_conv_chans (int, optional): + Number of encoder prenet convolution channels. + eprenet_conv_filts (int, optional): + Filter size of encoder prenet convolution. + dprenet_layers (int, optional): + Number of decoder prenet layers. + dprenet_units (int, optional): + Number of decoder prenet hidden units. + elayers (int, optional): + Number of encoder layers. + eunits (int, optional): + Number of encoder hidden units. + adim (int, optional): + Number of attention transformation dimensions. + aheads (int, optional): + Number of heads for multi head attention. + dlayers (int, optional): + Number of decoder layers. + dunits (int, optional): + Number of decoder hidden units. + postnet_layers (int, optional): + Number of postnet layers. + postnet_chans (int, optional): + Number of postnet channels. + postnet_filts (int, optional): + Filter size of postnet. + use_scaled_pos_enc (pool, optional): + Whether to use trainable scaled positional encoding. + use_batch_norm (bool, optional): + Whether to use batch normalization in encoder prenet. + encoder_normalize_before (bool, optional): + Whether to perform layer normalization before encoder block. + decoder_normalize_before (bool, optional): + Whether to perform layer normalization before decoder block. + encoder_concat_after (bool, optional): + Whether to concatenate attention layer's input and output in encoder. + decoder_concat_after (bool, optional): + Whether to concatenate attention layer's input and output in decoder. + positionwise_layer_type (str, optional): + Position-wise operation type. + positionwise_conv_kernel_size (int, optional): + Kernel size in position wise conv 1d. + reduction_factor (int, optional): + Reduction factor. + spk_embed_dim (int, optional): + Number of speaker embedding dimenstions. + spk_embed_integration_type (str, optional): + How to integrate speaker embedding. + use_gst (str, optional): + Whether to use global style token. + gst_tokens (int, optional): + The number of GST embeddings. + gst_heads (int, optional): + The number of heads in GST multihead attention. + gst_conv_layers (int, optional): + The number of conv layers in GST. + gst_conv_chans_list (Sequence[int], optional): + List of the number of channels of conv layers in GST. + gst_conv_kernel_size (int, optional): + Kernal size of conv layers in GST. + gst_conv_stride (int, optional): + Stride size of conv layers in GST. + gst_gru_layers (int, optional): + The number of GRU layers in GST. + gst_gru_units (int, optional): + The number of GRU units in GST. + transformer_lr (float, optional): + Initial value of learning rate. + transformer_warmup_steps (int, optional): + Optimizer warmup steps. + transformer_enc_dropout_rate (float, optional): + Dropout rate in encoder except attention and positional encoding. + transformer_enc_positional_dropout_rate (float, optional): + Dropout rate after encoder positional encoding. + transformer_enc_attn_dropout_rate （float, optional): + Dropout rate in encoder self-attention module. + transformer_dec_dropout_rate (float, optional): + Dropout rate in decoder except attention & positional encoding. + transformer_dec_positional_dropout_rate (float, optional): + Dropout rate after decoder positional encoding. + transformer_dec_attn_dropout_rate （float, optional): + Dropout rate in deocoder self-attention module. + transformer_enc_dec_attn_dropout_rate (float, optional): + Dropout rate in encoder-deocoder attention module. + init_type (str, optional): + How to initialize transformer parameters. + init_enc_alpha （float, optional）: + Initial value of alpha in scaled pos encoding of the encoder. + init_dec_alpha (float, optional): + Initial value of alpha in scaled pos encoding of the decoder. + eprenet_dropout_rate (float, optional): + Dropout rate in encoder prenet. + dprenet_dropout_rate (float, optional): + Dropout rate in decoder prenet. + postnet_dropout_rate (float, optional): + Dropout rate in postnet. + use_masking (bool, optional): + Whether to apply masking for padded part in loss calculation. + use_weighted_masking (bool, optional): + Whether to apply weighted masking in loss calculation. + bce_pos_weight (float, optional): + Positive sample weight in bce calculation (only for use_masking=true). + loss_type (str, optional): + How to calculate loss. + use_guided_attn_loss (bool, optional): + Whether to use guided attention loss. + num_heads_applied_guided_attn (int, optional): + Number of heads in each layer to apply guided attention loss. + num_layers_applied_guided_attn (int, optional): + Number of layers to apply guided attention loss. """ def __init__( diff --git a/paddlespeech/t2s/models/waveflow.py b/paddlespeech/t2s/models/waveflow.py index 52e6005be..8e2ce822f 100644 --- a/paddlespeech/t2s/models/waveflow.py +++ b/paddlespeech/t2s/models/waveflow.py @@ -33,8 +33,10 @@ def fold(x, n_group): """Fold audio or spectrogram's temporal dimension in to groups. Args: - x(Tensor): The input tensor. shape=(*, time_steps) - n_group(int): The size of a group. + x(Tensor): + The input tensor. shape=(*, time_steps) + n_group(int): + The size of a group. Returns: Tensor: Folded tensor. shape=(*, time_steps // n_group, group) @@ -53,7 +55,8 @@ class UpsampleNet(nn.LayerList): on mel and time dimension. Args: - upscale_factors(List[int], optional): Time upsampling factors for each Conv2DTranspose Layer. + upscale_factors(List[int], optional): + Time upsampling factors for each Conv2DTranspose Layer. The ``UpsampleNet`` contains ``len(upscale_factor)`` Conv2DTranspose Layers. Each upscale_factor is used as the ``stride`` for the corresponding Conv2DTranspose. Defaults to [16, 16], this the default @@ -94,8 +97,10 @@ class UpsampleNet(nn.LayerList): """Forward pass of the ``UpsampleNet`` Args: - x(Tensor): The input spectrogram. shape=(batch_size, input_channels, time_steps) - trim_conv_artifact(bool, optional, optional): Trim deconvolution artifact at each layer. Defaults to False. + x(Tensor): + The input spectrogram. shape=(batch_size, input_channels, time_steps) + trim_conv_artifact(bool, optional, optional): + Trim deconvolution artifact at each layer. Defaults to False. Returns: Tensor: The upsampled spectrogram. shape=(batch_size, input_channels, time_steps * upsample_factor) @@ -123,10 +128,14 @@ class ResidualBlock(nn.Layer): and output. Args: - channels (int): Feature size of the input. - cond_channels (int): Featuer size of the condition. - kernel_size (Tuple[int]): Kernel size of the Convolution2d applied to the input. - dilations (int): Dilations of the Convolution2d applied to the input. + channels (int): + Feature size of the input. + cond_channels (int): + Featuer size of the condition. + kernel_size (Tuple[int]): + Kernel size of the Convolution2d applied to the input. + dilations (int): + Dilations of the Convolution2d applied to the input. """ def __init__(self, channels, cond_channels, kernel_size, dilations): @@ -173,12 +182,16 @@ class ResidualBlock(nn.Layer): """Compute output for a whole folded sequence. Args: - x (Tensor): The input. [shape=(batch_size, channel, height, width)] - condition (Tensor [shape=(batch_size, condition_channel, height, width)]): The local condition. + x (Tensor): + The input. [shape=(batch_size, channel, height, width)] + condition (Tensor [shape=(batch_size, condition_channel, height, width)]): + The local condition. Returns: - res (Tensor): The residual output. [shape=(batch_size, channel, height, width)] - skip (Tensor): The skip output. [shape=(batch_size, channel, height, width)] + res (Tensor): + The residual output. [shape=(batch_size, channel, height, width)] + skip (Tensor): + The skip output. [shape=(batch_size, channel, height, width)] """ x_in = x x = self.conv(x) @@ -216,12 +229,16 @@ class ResidualBlock(nn.Layer): """Compute the output for a row and update the buffer. Args: - x_row (Tensor): A row of the input. shape=(batch_size, channel, 1, width) - condition_row (Tensor): A row of the condition. shape=(batch_size, condition_channel, 1, width) + x_row (Tensor): + A row of the input. shape=(batch_size, channel, 1, width) + condition_row (Tensor): + A row of the condition. shape=(batch_size, condition_channel, 1, width) Returns: - res (Tensor): A row of the the residual output. shape=(batch_size, channel, 1, width) - skip (Tensor): A row of the skip output. shape=(batch_size, channel, 1, width) + res (Tensor): + A row of the the residual output. shape=(batch_size, channel, 1, width) + skip (Tensor): + A row of the skip output. shape=(batch_size, channel, 1, width) """ x_row_in = x_row @@ -258,11 +275,16 @@ class ResidualNet(nn.LayerList): """A stack of several ResidualBlocks. It merges condition at each layer. Args: - n_layer (int): Number of ResidualBlocks in the ResidualNet. - residual_channels (int): Feature size of each ResidualBlocks. - condition_channels (int): Feature size of the condition. - kernel_size (Tuple[int]): Kernel size of each ResidualBlock. - dilations_h (List[int]): Dilation in height dimension of every ResidualBlock. + n_layer (int): + Number of ResidualBlocks in the ResidualNet. + residual_channels (int): + Feature size of each ResidualBlocks. + condition_channels (int): + Feature size of the condition. + kernel_size (Tuple[int]): + Kernel size of each ResidualBlock. + dilations_h (List[int]): + Dilation in height dimension of every ResidualBlock. Raises: ValueError: If the length of dilations_h does not equals n_layers. @@ -288,11 +310,13 @@ class ResidualNet(nn.LayerList): """Comput the output of given the input and the condition. Args: - x (Tensor): The input. shape=(batch_size, channel, height, width) - condition (Tensor): The local condition. shape=(batch_size, condition_channel, height, width) + x (Tensor): + The input. shape=(batch_size, channel, height, width) + condition (Tensor): + The local condition. shape=(batch_size, condition_channel, height, width) Returns: - Tensor : The output, which is an aggregation of all the skip outputs. shape=(batch_size, channel, height, width) + Tensor: The output, which is an aggregation of all the skip outputs. shape=(batch_size, channel, height, width) """ skip_connections = [] @@ -312,12 +336,16 @@ class ResidualNet(nn.LayerList): """Compute the output for a row and update the buffers. Args: - x_row (Tensor): A row of the input. shape=(batch_size, channel, 1, width) - condition_row (Tensor): A row of the condition. shape=(batch_size, condition_channel, 1, width) + x_row (Tensor): + A row of the input. shape=(batch_size, channel, 1, width) + condition_row (Tensor): + A row of the condition. shape=(batch_size, condition_channel, 1, width) Returns: - res (Tensor): A row of the the residual output. shape=(batch_size, channel, 1, width) - skip (Tensor): A row of the skip output. shape=(batch_size, channel, 1, width) + res (Tensor): + A row of the the residual output. shape=(batch_size, channel, 1, width) + skip (Tensor): + A row of the skip output. shape=(batch_size, channel, 1, width) """ skip_connections = [] @@ -337,11 +365,16 @@ class Flow(nn.Layer): sampling. Args: - n_layers (int): Number of ResidualBlocks in the Flow. - channels (int): Feature size of the ResidualBlocks. - mel_bands (int): Feature size of the mel spectrogram (mel bands). - kernel_size (Tuple[int]): Kernel size of each ResisualBlocks in the Flow. - n_group (int): Number of timesteps to the folded into a group. + n_layers (int): + Number of ResidualBlocks in the Flow. + channels (int): + Feature size of the ResidualBlocks. + mel_bands (int): + Feature size of the mel spectrogram (mel bands). + kernel_size (Tuple[int]): + Kernel size of each ResisualBlocks in the Flow. + n_group (int): + Number of timesteps to the folded into a group. """ dilations_dict = { 8: [1, 1, 1, 1, 1, 1, 1, 1], @@ -393,11 +426,14 @@ class Flow(nn.Layer): a sample from p(X) into a sample from p(Z). Args: - x (Tensor): A input sample of the distribution p(X). shape=(batch, 1, height, width) - condition (Tensor): The local condition. shape=(batch, condition_channel, height, width) + x (Tensor): + A input sample of the distribution p(X). shape=(batch, 1, height, width) + condition (Tensor): + The local condition. shape=(batch, condition_channel, height, width) Returns: - z (Tensor): shape(batch, 1, height, width), the transformed sample. + z (Tensor): + shape(batch, 1, height, width), the transformed sample. Tuple[Tensor, Tensor]: The parameter of the transformation. logs (Tensor): shape(batch, 1, height - 1, width), the log scale of the transformation from x to z. @@ -433,8 +469,10 @@ class Flow(nn.Layer): p(Z) and transform the sample. It is a auto regressive transformation. Args: - z(Tensor): A sample of the distribution p(Z). shape=(batch, 1, time_steps - condition(Tensor): The local condition. shape=(batch, condition_channel, time_steps) + z(Tensor): + A sample of the distribution p(Z). shape=(batch, 1, time_steps + condition(Tensor): + The local condition. shape=(batch, condition_channel, time_steps) Returns: Tensor: The transformed sample. shape=(batch, 1, height, width) @@ -462,12 +500,18 @@ class WaveFlow(nn.LayerList): flows. Args: - n_flows (int): Number of flows in the WaveFlow model. - n_layers (int): Number of ResidualBlocks in each Flow. - n_group (int): Number of timesteps to fold as a group. - channels (int): Feature size of each ResidualBlock. - mel_bands (int): Feature size of mel spectrogram (mel bands). - kernel_size (Union[int, List[int]]): Kernel size of the convolution layer in each ResidualBlock. + n_flows (int): + Number of flows in the WaveFlow model. + n_layers (int): + Number of ResidualBlocks in each Flow. + n_group (int): + Number of timesteps to fold as a group. + channels (int): + Feature size of each ResidualBlock. + mel_bands (int): + Feature size of mel spectrogram (mel bands). + kernel_size (Union[int, List[int]]): + Kernel size of the convolution layer in each ResidualBlock. """ def __init__(self, n_flows, n_layers, n_group, channels, mel_bands, @@ -518,12 +562,16 @@ class WaveFlow(nn.LayerList): condition. Args: - x (Tensor): The audio. shape=(batch_size, time_steps) - condition (Tensor): The local condition (mel spectrogram here). shape=(batch_size, condition channel, time_steps) + x (Tensor): + The audio. shape=(batch_size, time_steps) + condition (Tensor): + The local condition (mel spectrogram here). shape=(batch_size, condition channel, time_steps) Returns: - Tensor: The transformed random variable. shape=(batch_size, time_steps) - Tensor: The log determinant of the jacobian of the transformation from x to z. shape=(1,) + Tensor: + The transformed random variable. shape=(batch_size, time_steps) + Tensor: + The log determinant of the jacobian of the transformation from x to z. shape=(1,) """ # x: (B, T) # condition: (B, C, T) upsampled condition @@ -559,12 +607,13 @@ class WaveFlow(nn.LayerList): autoregressive manner. Args: - z (Tensor): A sample of the distribution p(Z). shape=(batch, 1, time_steps - condition (Tensor): The local condition. shape=(batch, condition_channel, time_steps) + z (Tensor): + A sample of the distribution p(Z). shape=(batch, 1, time_steps + condition (Tensor): + The local condition. shape=(batch, condition_channel, time_steps) Returns: Tensor: The transformed sample (audio here). shape=(batch_size, time_steps) - """ z, condition = self._trim(z, condition) @@ -590,13 +639,20 @@ class ConditionalWaveFlow(nn.LayerList): """ConditionalWaveFlow, a UpsampleNet with a WaveFlow model. Args: - upsample_factors (List[int]): Upsample factors for the upsample net. - n_flows (int): Number of flows in the WaveFlow model. - n_layers (int): Number of ResidualBlocks in each Flow. - n_group (int): Number of timesteps to fold as a group. - channels (int): Feature size of each ResidualBlock. - n_mels (int): Feature size of mel spectrogram (mel bands). - kernel_size (Union[int, List[int]]): Kernel size of the convolution layer in each ResidualBlock. + upsample_factors (List[int]): + Upsample factors for the upsample net. + n_flows (int): + Number of flows in the WaveFlow model. + n_layers (int): + Number of ResidualBlocks in each Flow. + n_group (int): + Number of timesteps to fold as a group. + channels (int): + Feature size of each ResidualBlock. + n_mels (int): + Feature size of mel spectrogram (mel bands). + kernel_size (Union[int, List[int]]): + Kernel size of the convolution layer in each ResidualBlock. """ def __init__(self, @@ -622,12 +678,16 @@ class ConditionalWaveFlow(nn.LayerList): the determinant of the jacobian of the transformation from x to z. Args: - audio(Tensor): The audio. shape=(B, T) - mel(Tensor): The mel spectrogram. shape=(B, C_mel, T_mel) + audio(Tensor): + The audio. shape=(B, T) + mel(Tensor): + The mel spectrogram. shape=(B, C_mel, T_mel) Returns: - Tensor: The inversely transformed random variable z (x to z). shape=(B, T) - Tensor: the log of the determinant of the jacobian of the transformation from x to z. shape=(1,) + Tensor: + The inversely transformed random variable z (x to z). shape=(B, T) + Tensor: + the log of the determinant of the jacobian of the transformation from x to z. shape=(1,) """ condition = self.encoder(mel) z, log_det_jacobian = self.decoder(audio, condition) @@ -638,10 +698,12 @@ class ConditionalWaveFlow(nn.LayerList): """Generate raw audio given mel spectrogram. Args: - mel(np.ndarray): Mel spectrogram of an utterance(in log-magnitude). shape=(C_mel, T_mel) + mel(np.ndarray): + Mel spectrogram of an utterance(in log-magnitude). shape=(C_mel, T_mel) Returns: - Tensor: The synthesized audio, where``T <= T_mel * upsample_factors``. shape=(B, T) + Tensor: + The synthesized audio, where``T <= T_mel * upsample_factors``. shape=(B, T) """ start = time.time() condition = self.encoder(mel, trim_conv_artifact=True) # (B, C, T) @@ -657,7 +719,8 @@ class ConditionalWaveFlow(nn.LayerList): """Generate raw audio given mel spectrogram. Args: - mel(np.ndarray): Mel spectrogram of an utterance(in log-magnitude). shape=(C_mel, T_mel) + mel(np.ndarray): + Mel spectrogram of an utterance(in log-magnitude). shape=(C_mel, T_mel) Returns: np.ndarray: The synthesized audio. shape=(T,) @@ -673,8 +736,10 @@ class ConditionalWaveFlow(nn.LayerList): """Build a ConditionalWaveFlow model from a pretrained model. Args: - config(yacs.config.CfgNode): model configs - checkpoint_path(Path or str): the path of pretrained model checkpoint, without extension name + config(yacs.config.CfgNode): + model configs + checkpoint_path(Path or str): + the path of pretrained model checkpoint, without extension name Returns: ConditionalWaveFlow The model built from pretrained result. @@ -694,8 +759,8 @@ class WaveFlowLoss(nn.Layer): """Criterion of a WaveFlow model. Args: - sigma (float): The standard deviation of the gaussian noise used in WaveFlow, - by default 1.0. + sigma (float): + The standard deviation of the gaussian noise used in WaveFlow, by default 1.0. """ def __init__(self, sigma=1.0): @@ -708,8 +773,10 @@ class WaveFlowLoss(nn.Layer): log_det_jacobian of transformation from x to z. Args: - z(Tensor): The transformed random variable (x to z). shape=(B, T) - log_det_jacobian(Tensor): The log of the determinant of the jacobian matrix of the + z(Tensor): + The transformed random variable (x to z). shape=(B, T) + log_det_jacobian(Tensor): + The log of the determinant of the jacobian matrix of the transformation from x to z. shape=(1,) Returns: @@ -726,7 +793,8 @@ class ConditionalWaveFlow2Infer(ConditionalWaveFlow): """Generate raw audio given mel spectrogram. Args: - mel (np.ndarray): Mel spectrogram of an utterance(in log-magnitude). shape=(C_mel, T_mel) + mel (np.ndarray): + Mel spectrogram of an utterance(in log-magnitude). shape=(C_mel, T_mel) Returns: np.ndarray: The synthesized audio. shape=(T,) diff --git a/paddlespeech/t2s/models/wavernn/wavernn.py b/paddlespeech/t2s/models/wavernn/wavernn.py index eb892eda5..254edbb2d 100644 --- a/paddlespeech/t2s/models/wavernn/wavernn.py +++ b/paddlespeech/t2s/models/wavernn/wavernn.py @@ -165,19 +165,29 @@ class WaveRNN(nn.Layer): init_type: str="xavier_uniform", ): ''' Args: - rnn_dims (int, optional): Hidden dims of RNN Layers. - fc_dims (int, optional): Dims of FC Layers. - bits (int, optional): bit depth of signal. - aux_context_window (int, optional): The context window size of the first convolution applied to the - auxiliary input, by default 2 - upsample_scales (List[int], optional): Upsample scales of the upsample network. - aux_channels (int, optional): Auxiliary channel of the residual blocks. - compute_dims (int, optional): Dims of Conv1D in MelResNet. - res_out_dims (int, optional): Dims of output in MelResNet. - res_blocks (int, optional): Number of residual blocks. - mode (str, optional): Output mode of the WaveRNN vocoder. + rnn_dims (int, optional): + Hidden dims of RNN Layers. + fc_dims (int, optional): + Dims of FC Layers. + bits (int, optional): + bit depth of signal. + aux_context_window (int, optional): + The context window size of the first convolution applied to the auxiliary input, by default 2 + upsample_scales (List[int], optional): + Upsample scales of the upsample network. + aux_channels (int, optional): + Auxiliary channel of the residual blocks. + compute_dims (int, optional): + Dims of Conv1D in MelResNet. + res_out_dims (int, optional): + Dims of output in MelResNet. + res_blocks (int, optional): + Number of residual blocks. + mode (str, optional): + Output mode of the WaveRNN vocoder. `MOL` for Mixture of Logistic Distribution, and `RAW` for quantized bits as the model's output. - init_type (str): How to initialize parameters. + init_type (str): + How to initialize parameters. ''' super().__init__() self.mode = mode @@ -226,8 +236,10 @@ class WaveRNN(nn.Layer): def forward(self, x, c): ''' Args: - x (Tensor): wav sequence, [B, T] - c (Tensor): mel spectrogram [B, C_aux, T'] + x (Tensor): + wav sequence, [B, T] + c (Tensor): + mel spectrogram [B, C_aux, T'] T = (T' - 2 * aux_context_window ) * hop_length Returns: @@ -280,10 +292,14 @@ class WaveRNN(nn.Layer): gen_display: bool=False): """ Args: - c(Tensor): input mels, (T', C_aux) - batched(bool): generate in batch or not - target(int): target number of samples to be generated in each batch entry - overlap(int): number of samples for crossfading between batches + c(Tensor): + input mels, (T', C_aux) + batched(bool): + generate in batch or not + target(int): + target number of samples to be generated in each batch entry + overlap(int): + number of samples for crossfading between batches mu_law(bool) Returns: wav sequence: Output (T' * prod(upsample_scales), out_channels, C_out). @@ -404,7 +420,8 @@ class WaveRNN(nn.Layer): def pad_tensor(self, x, pad, side='both'): ''' Args: - x(Tensor): mel, [1, n_frames, 80] + x(Tensor): + mel, [1, n_frames, 80] pad(int): side(str, optional): (Default value = 'both') @@ -428,12 +445,15 @@ class WaveRNN(nn.Layer): Overlap will be used for crossfading in xfade_and_unfold() Args: - x(Tensor): Upsampled conditioning features. mels or aux + x(Tensor): + Upsampled conditioning features. mels or aux shape=(1, T, features) mels: [1, T, 80] aux: [1, T, 128] - target(int): Target timesteps for each index of batch - overlap(int): Timesteps for both xfade and rnn warmup + target(int): + Target timesteps for each index of batch + overlap(int): + Timesteps for both xfade and rnn warmup Returns: Tensor: diff --git a/paddlespeech/t2s/modules/causal_conv.py b/paddlespeech/t2s/modules/causal_conv.py index 3abccc15f..337ee2383 100644 --- a/paddlespeech/t2s/modules/causal_conv.py +++ b/paddlespeech/t2s/modules/causal_conv.py @@ -42,7 +42,8 @@ class CausalConv1D(nn.Layer): def forward(self, x): """Calculate forward propagation. Args: - x (Tensor): Input tensor (B, in_channels, T). + x (Tensor): + Input tensor (B, in_channels, T). Returns: Tensor: Output tensor (B, out_channels, T). """ @@ -67,7 +68,8 @@ class CausalConv1DTranspose(nn.Layer): def forward(self, x): """Calculate forward propagation. Args: - x (Tensor): Input tensor (B, in_channels, T_in). + x (Tensor): + Input tensor (B, in_channels, T_in). Returns: Tensor: Output tensor (B, out_channels, T_out). """ diff --git a/paddlespeech/t2s/modules/conformer/convolution.py b/paddlespeech/t2s/modules/conformer/convolution.py index 185c62fb3..dadda0640 100644 --- a/paddlespeech/t2s/modules/conformer/convolution.py +++ b/paddlespeech/t2s/modules/conformer/convolution.py @@ -20,8 +20,10 @@ class ConvolutionModule(nn.Layer): """ConvolutionModule in Conformer model. Args: - channels (int): The number of channels of conv layers. - kernel_size (int): Kernerl size of conv layers. + channels (int): + The number of channels of conv layers. + kernel_size (int): + Kernerl size of conv layers. """ def __init__(self, channels, kernel_size, activation=nn.ReLU(), bias=True): @@ -59,7 +61,8 @@ class ConvolutionModule(nn.Layer): """Compute convolution module. Args: - x (Tensor): Input tensor (#batch, time, channels). + x (Tensor): + Input tensor (#batch, time, channels). Returns: Tensor: Output tensor (#batch, time, channels). """ diff --git a/paddlespeech/t2s/modules/conformer/encoder_layer.py b/paddlespeech/t2s/modules/conformer/encoder_layer.py index 61c326125..26a354565 100644 --- a/paddlespeech/t2s/modules/conformer/encoder_layer.py +++ b/paddlespeech/t2s/modules/conformer/encoder_layer.py @@ -23,25 +23,34 @@ class EncoderLayer(nn.Layer): """Encoder layer module. Args: - size (int): Input dimension. - self_attn (nn.Layer): Self-attention module instance. + size (int): + Input dimension. + self_attn (nn.Layer): + Self-attention module instance. `MultiHeadedAttention` or `RelPositionMultiHeadedAttention` instance can be used as the argument. - feed_forward (nn.Layer): Feed-forward module instance. + feed_forward (nn.Layer): + Feed-forward module instance. `PositionwiseFeedForward`, `MultiLayeredConv1d`, or `Conv1dLinear` instance can be used as the argument. - feed_forward_macaron (nn.Layer): Additional feed-forward module instance. + feed_forward_macaron (nn.Layer): + Additional feed-forward module instance. `PositionwiseFeedForward`, `MultiLayeredConv1d`, or `Conv1dLinear` instance can be used as the argument. - conv_module (nn.Layer): Convolution module instance. + conv_module (nn.Layer): + Convolution module instance. `ConvlutionModule` instance can be used as the argument. - dropout_rate (float): Dropout rate. - normalize_before (bool): Whether to use layer_norm before the first block. - concat_after (bool): Whether to concat attention layer's input and output. + dropout_rate (float): + Dropout rate. + normalize_before (bool): + Whether to use layer_norm before the first block. + concat_after (bool): + Whether to concat attention layer's input and output. if True, additional linear will be applied. i.e. x -> x + linear(concat(x, att(x))) if False, no additional linear will be applied. i.e. x -> x + att(x) - stochastic_depth_rate (float): Proability to skip this layer. + stochastic_depth_rate (float): + Proability to skip this layer. During training, the layer may skip residual computation and return input as-is with given probability. """ @@ -86,15 +95,19 @@ class EncoderLayer(nn.Layer): """Compute encoded features. Args: - x_input(Union[Tuple, Tensor]): Input tensor w/ or w/o pos emb. + x_input(Union[Tuple, Tensor]): + Input tensor w/ or w/o pos emb. - w/ pos emb: Tuple of tensors [(#batch, time, size), (1, time, size)]. - w/o pos emb: Tensor (#batch, time, size). - mask(Tensor): Mask tensor for the input (#batch, time). + mask(Tensor): + Mask tensor for the input (#batch, time). cache (Tensor): Returns: - Tensor: Output tensor (#batch, time, size). - Tensor: Mask tensor (#batch, time). + Tensor: + Output tensor (#batch, time, size). + Tensor: + Mask tensor (#batch, time). """ if isinstance(x_input, tuple): x, pos_emb = x_input[0], x_input[1] diff --git a/paddlespeech/t2s/modules/conv.py b/paddlespeech/t2s/modules/conv.py index aa875bd50..922af03f2 100644 --- a/paddlespeech/t2s/modules/conv.py +++ b/paddlespeech/t2s/modules/conv.py @@ -42,13 +42,19 @@ class Conv1dCell(nn.Conv1D): class. Args: - in_channels (int): The feature size of the input. - out_channels (int): The feature size of the output. - kernel_size (int or Tuple[int]): The size of the kernel. - dilation (int or Tuple[int]): The dilation of the convolution, by default 1 - weight_attr (ParamAttr, Initializer, str or bool, optional) : The parameter attribute of the convolution kernel, + in_channels (int): + The feature size of the input. + out_channels (int): + The feature size of the output. + kernel_size (int or Tuple[int]): + The size of the kernel. + dilation (int or Tuple[int]): + The dilation of the convolution, by default 1 + weight_attr (ParamAttr, Initializer, str or bool, optional): + The parameter attribute of the convolution kernel, by default None. - bias_attr (ParamAttr, Initializer, str or bool, optional):The parameter attribute of the bias. + bias_attr (ParamAttr, Initializer, str or bool, optional): + The parameter attribute of the bias. If ``False``, this layer does not have a bias, by default None. Examples: @@ -122,7 +128,8 @@ class Conv1dCell(nn.Conv1D): """Initialize the buffer for the step input. Args: - x_t (Tensor): The step input. shape=(batch_size, in_channels) + x_t (Tensor): + The step input. shape=(batch_size, in_channels) """ batch_size, _ = x_t.shape @@ -134,7 +141,8 @@ class Conv1dCell(nn.Conv1D): """Shift the buffer by one step. Args: - x_t (Tensor): The step input. shape=(batch_size, in_channels) + x_t (Tensor): T + he step input. shape=(batch_size, in_channels) """ self._buffer = paddle.concat( @@ -144,10 +152,12 @@ class Conv1dCell(nn.Conv1D): """Add step input and compute step output. Args: - x_t (Tensor): The step input. shape=(batch_size, in_channels) + x_t (Tensor): + The step input. shape=(batch_size, in_channels) Returns: - y_t (Tensor): The step output. shape=(batch_size, out_channels) + y_t (Tensor): + The step output. shape=(batch_size, out_channels) """ batch_size = x_t.shape[0] @@ -173,10 +183,14 @@ class Conv1dBatchNorm(nn.Layer): """A Conv1D Layer followed by a BatchNorm1D. Args: - in_channels (int): The feature size of the input. - out_channels (int): The feature size of the output. - kernel_size (int): The size of the convolution kernel. - stride (int, optional): The stride of the convolution, by default 1. + in_channels (int): + The feature size of the input. + out_channels (int): + The feature size of the output. + kernel_size (int): + The size of the convolution kernel. + stride (int, optional): + The stride of the convolution, by default 1. padding (int, str or Tuple[int], optional): The padding of the convolution. If int, a symmetrical padding is applied before convolution; @@ -189,9 +203,12 @@ class Conv1dBatchNorm(nn.Layer): bias_attr (ParamAttr, Initializer, str or bool, optional): The parameter attribute of the bias of the convolution, by defaultNone. - data_format (str ["NCL" or "NLC"], optional): The data layout of the input, by default "NCL" - momentum (float, optional): The momentum of the BatchNorm1D layer, by default 0.9 - epsilon (float, optional): The epsilon of the BatchNorm1D layer, by default 1e-05 + data_format (str ["NCL" or "NLC"], optional): + The data layout of the input, by default "NCL" + momentum (float, optional): + The momentum of the BatchNorm1D layer, by default 0.9 + epsilon (float, optional): + The epsilon of the BatchNorm1D layer, by default 1e-05 """ def __init__(self, @@ -225,12 +242,13 @@ class Conv1dBatchNorm(nn.Layer): """Forward pass of the Conv1dBatchNorm layer. Args: - x (Tensor): The input tensor. Its data layout depends on ``data_format``. - shape=(B, C_in, T_in) or (B, T_in, C_in) + x (Tensor): + The input tensor. Its data layout depends on ``data_format``. + shape=(B, C_in, T_in) or (B, T_in, C_in) Returns: - Tensor: The output tensor. - shape=(B, C_out, T_out) or (B, T_out, C_out) + Tensor: + The output tensor. shape=(B, C_out, T_out) or (B, T_out, C_out) """ x = self.conv(x) diff --git a/paddlespeech/t2s/modules/geometry.py b/paddlespeech/t2s/modules/geometry.py index 01eb5ad0a..80c872a81 100644 --- a/paddlespeech/t2s/modules/geometry.py +++ b/paddlespeech/t2s/modules/geometry.py @@ -19,8 +19,10 @@ def shuffle_dim(x, axis, perm=None): """Permute input tensor along aixs given the permutation or randomly. Args: - x (Tensor): The input tensor. - axis (int): The axis to shuffle. + x (Tensor): + The input tensor. + axis (int): + The axis to shuffle. perm (List[int], ndarray, optional): The order to reorder the tensor along the ``axis``-th dimension. It is a permutation of ``[0, d)``, where d is the size of the diff --git a/paddlespeech/t2s/modules/layer_norm.py b/paddlespeech/t2s/modules/layer_norm.py index 088b98e02..9e2add293 100644 --- a/paddlespeech/t2s/modules/layer_norm.py +++ b/paddlespeech/t2s/modules/layer_norm.py @@ -19,8 +19,10 @@ from paddle import nn class LayerNorm(nn.LayerNorm): """Layer normalization module. Args: - nout (int): Output dim size. - dim (int): Dimension to be normalized. + nout (int): + Output dim size. + dim (int): + Dimension to be normalized. """ def __init__(self, nout, dim=-1): @@ -32,7 +34,8 @@ class LayerNorm(nn.LayerNorm): """Apply layer normalization. Args: - x (Tensor):Input tensor. + x (Tensor): + Input tensor. Returns: Tensor: Normalized tensor. diff --git a/paddlespeech/t2s/modules/losses.py b/paddlespeech/t2s/modules/losses.py index 4726f40ec..b2a31a321 100644 --- a/paddlespeech/t2s/modules/losses.py +++ b/paddlespeech/t2s/modules/losses.py @@ -269,8 +269,10 @@ class GuidedAttentionLoss(nn.Layer): """Make masks indicating non-padded part. Args: - ilens(Tensor(int64) or List): Batch of lengths (B,). - olens(Tensor(int64) or List): Batch of lengths (B,). + ilens(Tensor(int64) or List): + Batch of lengths (B,). + olens(Tensor(int64) or List): + Batch of lengths (B,). Returns: Tensor: Mask tensor indicating non-padded part. @@ -322,9 +324,12 @@ class GuidedMultiHeadAttentionLoss(GuidedAttentionLoss): """Calculate forward propagation. Args: - att_ws(Tensor): Batch of multi head attention weights (B, H, T_max_out, T_max_in). - ilens(Tensor): Batch of input lenghts (B,). - olens(Tensor): Batch of output lenghts (B,). + att_ws(Tensor): + Batch of multi head attention weights (B, H, T_max_out, T_max_in). + ilens(Tensor): + Batch of input lenghts (B,). + olens(Tensor): + Batch of output lenghts (B,). Returns: Tensor: Guided attention loss value. @@ -354,9 +359,12 @@ class Tacotron2Loss(nn.Layer): """Initialize Tactoron2 loss module. Args: - use_masking (bool): Whether to apply masking for padded part in loss calculation. - use_weighted_masking (bool): Whether to apply weighted masking in loss calculation. - bce_pos_weight (float): Weight of positive sample of stop token. + use_masking (bool): + Whether to apply masking for padded part in loss calculation. + use_weighted_masking (bool): + Whether to apply weighted masking in loss calculation. + bce_pos_weight (float): + Weight of positive sample of stop token. """ super().__init__() assert (use_masking != use_weighted_masking) or not use_masking @@ -374,17 +382,25 @@ class Tacotron2Loss(nn.Layer): """Calculate forward propagation. Args: - after_outs(Tensor): Batch of outputs after postnets (B, Lmax, odim). - before_outs(Tensor): Batch of outputs before postnets (B, Lmax, odim). - logits(Tensor): Batch of stop logits (B, Lmax). - ys(Tensor): Batch of padded target features (B, Lmax, odim). - stop_labels(Tensor(int64)): Batch of the sequences of stop token labels (B, Lmax). + after_outs(Tensor): + Batch of outputs after postnets (B, Lmax, odim). + before_outs(Tensor): + Batch of outputs before postnets (B, Lmax, odim). + logits(Tensor): + Batch of stop logits (B, Lmax). + ys(Tensor): + Batch of padded target features (B, Lmax, odim). + stop_labels(Tensor(int64)): + Batch of the sequences of stop token labels (B, Lmax). olens(Tensor(int64)): Returns: - Tensor: L1 loss value. - Tensor: Mean square error loss value. - Tensor: Binary cross entropy loss value. + Tensor: + L1 loss value. + Tensor: + Mean square error loss value. + Tensor: + Binary cross entropy loss value. """ # make mask and apply it if self.use_masking: @@ -437,16 +453,24 @@ def stft(x, pad_mode='reflect'): """Perform STFT and convert to magnitude spectrogram. Args: - x(Tensor): Input signal tensor (B, T). - fft_size(int): FFT size. - hop_size(int): Hop size. - win_length(int, optional): window : str, optional (Default value = None) - window(str, optional): Name of window function, see `scipy.signal.get_window` for more - details. Defaults to "hann". - center(bool, optional, optional): center (bool, optional): Whether to pad `x` to make that the + x(Tensor): + Input signal tensor (B, T). + fft_size(int): + FFT size. + hop_size(int): + Hop size. + win_length(int, optional): + window (str, optional): + (Default value = None) + window(str, optional): + Name of window function, see `scipy.signal.get_window` for more details. Defaults to "hann". + center(bool, optional, optional): center (bool, optional): + Whether to pad `x` to make that the :math:`t \times hop\\_length` at the center of :math:`t`-th frame. Default: `True`. - pad_mode(str, optional, optional): (Default value = 'reflect') - hop_length: (Default value = None) + pad_mode(str, optional, optional): + (Default value = 'reflect') + hop_length: + (Default value = None) Returns: Tensor: Magnitude spectrogram (B, #frames, fft_size // 2 + 1). @@ -480,8 +504,10 @@ class SpectralConvergenceLoss(nn.Layer): def forward(self, x_mag, y_mag): """Calculate forward propagation. Args: - x_mag (Tensor): Magnitude spectrogram of predicted signal (B, #frames, #freq_bins). - y_mag (Tensor): Magnitude spectrogram of groundtruth signal (B, #frames, #freq_bins). + x_mag (Tensor): + Magnitude spectrogram of predicted signal (B, #frames, #freq_bins). + y_mag (Tensor): + Magnitude spectrogram of groundtruth signal (B, #frames, #freq_bins). Returns: Tensor: Spectral convergence loss value. """ @@ -501,8 +527,10 @@ class LogSTFTMagnitudeLoss(nn.Layer): def forward(self, x_mag, y_mag): """Calculate forward propagation. Args: - x_mag (Tensor): Magnitude spectrogram of predicted signal (B, #frames, #freq_bins). - y_mag (Tensor): Magnitude spectrogram of groundtruth signal (B, #frames, #freq_bins). + x_mag (Tensor): + Magnitude spectrogram of predicted signal (B, #frames, #freq_bins). + y_mag (Tensor): + Magnitude spectrogram of groundtruth signal (B, #frames, #freq_bins). Returns: Tensor: Log STFT magnitude loss value. """ @@ -531,11 +559,15 @@ class STFTLoss(nn.Layer): def forward(self, x, y): """Calculate forward propagation. Args: - x (Tensor): Predicted signal (B, T). - y (Tensor): Groundtruth signal (B, T). + x (Tensor): + Predicted signal (B, T). + y (Tensor): + Groundtruth signal (B, T). Returns: - Tensor: Spectral convergence loss value. - Tensor: Log STFT magnitude loss value. + Tensor: + Spectral convergence loss value. + Tensor: + Log STFT magnitude loss value. """ x_mag = stft(x, self.fft_size, self.shift_size, self.win_length, self.window) @@ -558,10 +590,14 @@ class MultiResolutionSTFTLoss(nn.Layer): window="hann", ): """Initialize Multi resolution STFT loss module. Args: - fft_sizes (list): List of FFT sizes. - hop_sizes (list): List of hop sizes. - win_lengths (list): List of window lengths. - window (str): Window function type. + fft_sizes (list): + List of FFT sizes. + hop_sizes (list): + List of hop sizes. + win_lengths (list): + List of window lengths. + window (str): + Window function type. """ super().__init__() assert len(fft_sizes) == len(hop_sizes) == len(win_lengths) @@ -573,11 +609,15 @@ class MultiResolutionSTFTLoss(nn.Layer): """Calculate forward propagation. Args: - x (Tensor): Predicted signal (B, T) or (B, #subband, T). - y (Tensor): Groundtruth signal (B, T) or (B, #subband, T). + x (Tensor): + Predicted signal (B, T) or (B, #subband, T). + y (Tensor): + Groundtruth signal (B, T) or (B, #subband, T). Returns: - Tensor: Multi resolution spectral convergence loss value. - Tensor: Multi resolution log STFT magnitude loss value. + Tensor: + Multi resolution spectral convergence loss value. + Tensor: + Multi resolution log STFT magnitude loss value. """ if len(x.shape) == 3: # (B, C, T) -> (B x C, T) @@ -615,9 +655,11 @@ class GeneratorAdversarialLoss(nn.Layer): def forward(self, outputs): """Calcualate generator adversarial loss. Args: - outputs (Tensor or List): Discriminator outputs or list of discriminator outputs. + outputs (Tensor or List): + Discriminator outputs or list of discriminator outputs. Returns: - Tensor: Generator adversarial loss value. + Tensor: + Generator adversarial loss value. """ if isinstance(outputs, (tuple, list)): adv_loss = 0.0 @@ -659,13 +701,15 @@ class DiscriminatorAdversarialLoss(nn.Layer): """Calcualate discriminator adversarial loss. Args: - outputs_hat (Tensor or list): Discriminator outputs or list of - discriminator outputs calculated from generator outputs. - outputs (Tensor or list): Discriminator outputs or list of - discriminator outputs calculated from groundtruth. + outputs_hat (Tensor or list): + Discriminator outputs or list of discriminator outputs calculated from generator outputs. + outputs (Tensor or list): + Discriminator outputs or list of discriminator outputs calculated from groundtruth. Returns: - Tensor: Discriminator real loss value. - Tensor: Discriminator fake loss value. + Tensor: + Discriminator real loss value. + Tensor: + Discriminator fake loss value. """ if isinstance(outputs, (tuple, list)): real_loss = 0.0 @@ -766,9 +810,12 @@ def masked_l1_loss(prediction, target, mask): """Compute maksed L1 loss. Args: - prediction(Tensor): The prediction. - target(Tensor): The target. The shape should be broadcastable to ``prediction``. - mask(Tensor): The mask. The shape should be broadcatable to the broadcasted shape of + prediction(Tensor): + The prediction. + target(Tensor): + The target. The shape should be broadcastable to ``prediction``. + mask(Tensor): + The mask. The shape should be broadcatable to the broadcasted shape of ``prediction`` and ``target``. Returns: @@ -916,8 +963,10 @@ class MelSpectrogramLoss(nn.Layer): def forward(self, y_hat, y): """Calculate Mel-spectrogram loss. Args: - y_hat(Tensor): Generated single tensor (B, 1, T). - y(Tensor): Groundtruth single tensor (B, 1, T). + y_hat(Tensor): + Generated single tensor (B, 1, T). + y(Tensor): + Groundtruth single tensor (B, 1, T). Returns: Tensor: Mel-spectrogram loss value. @@ -947,9 +996,11 @@ class FeatureMatchLoss(nn.Layer): """Calcualate feature matching loss. Args: - feats_hat(list): List of list of discriminator outputs + feats_hat(list): + List of list of discriminator outputs calcuated from generater outputs. - feats(list): List of list of discriminator outputs + feats(list): + List of list of discriminator outputs Returns: Tensor: Feature matching loss value. @@ -986,11 +1037,16 @@ class KLDivergenceLoss(nn.Layer): """Calculate KL divergence loss. Args: - z_p (Tensor): Flow hidden representation (B, H, T_feats). - logs_q (Tensor): Posterior encoder projected scale (B, H, T_feats). - m_p (Tensor): Expanded text encoder projected mean (B, H, T_feats). - logs_p (Tensor): Expanded text encoder projected scale (B, H, T_feats). - z_mask (Tensor): Mask tensor (B, 1, T_feats). + z_p (Tensor): + Flow hidden representation (B, H, T_feats). + logs_q (Tensor): + Posterior encoder projected scale (B, H, T_feats). + m_p (Tensor): + Expanded text encoder projected mean (B, H, T_feats). + logs_p (Tensor): + Expanded text encoder projected scale (B, H, T_feats). + z_mask (Tensor): + Mask tensor (B, 1, T_feats). Returns: Tensor: KL divergence loss. diff --git a/paddlespeech/t2s/modules/nets_utils.py b/paddlespeech/t2s/modules/nets_utils.py index 8cf17a6a1..a3d5d1354 100644 --- a/paddlespeech/t2s/modules/nets_utils.py +++ b/paddlespeech/t2s/modules/nets_utils.py @@ -25,8 +25,10 @@ def pad_list(xs, pad_value): """Perform padding for the list of tensors. Args: - xs (List[Tensor]): List of Tensors [(T_1, `*`), (T_2, `*`), ..., (T_B, `*`)]. - pad_value (float): Value for padding. + xs (List[Tensor]): + List of Tensors [(T_1, `*`), (T_2, `*`), ..., (T_B, `*`)]. + pad_value (float): + Value for padding. Returns: Tensor: Padded tensor (B, Tmax, `*`). @@ -55,10 +57,13 @@ def make_pad_mask(lengths, xs=None, length_dim=-1): """Make mask tensor containing indices of padded part. Args: - lengths (Tensor(int64)): Batch of lengths (B,). - xs (Tensor, optional): The reference tensor. + lengths (Tensor(int64)): + Batch of lengths (B,). + xs (Tensor, optional): + The reference tensor. If set, masks will be the same shape as this tensor. - length_dim (int, optional): Dimension indicator of the above tensor. + length_dim (int, optional): + Dimension indicator of the above tensor. See the example. Returns: @@ -166,14 +171,18 @@ def make_non_pad_mask(lengths, xs=None, length_dim=-1): """Make mask tensor containing indices of non-padded part. Args: - lengths (Tensor(int64) or List): Batch of lengths (B,). - xs (Tensor, optional): The reference tensor. + lengths (Tensor(int64) or List): + Batch of lengths (B,). + xs (Tensor, optional): + The reference tensor. If set, masks will be the same shape as this tensor. - length_dim (int, optional): Dimension indicator of the above tensor. + length_dim (int, optional): + Dimension indicator of the above tensor. See the example. Returns: - Tensor(bool): mask tensor containing indices of padded part bool. + Tensor(bool): + mask tensor containing indices of padded part bool. Examples: With only lengths. @@ -257,8 +266,10 @@ def initialize(model: nn.Layer, init: str): Custom initialization routines can be implemented into submodules Args: - model (nn.Layer): Target. - init (str): Method of initialization. + model (nn.Layer): + Target. + init (str): + Method of initialization. """ assert check_argument_types() @@ -285,12 +296,17 @@ def get_random_segments( segment_size: int, ) -> Tuple[paddle.Tensor, paddle.Tensor]: """Get random segments. Args: - x (Tensor): Input tensor (B, C, T). - x_lengths (Tensor): Length tensor (B,). - segment_size (int): Segment size. + x (Tensor): + Input tensor (B, C, T). + x_lengths (Tensor): + Length tensor (B,). + segment_size (int): + Segment size. Returns: - Tensor: Segmented tensor (B, C, segment_size). - Tensor: Start index tensor (B,). + Tensor: + Segmented tensor (B, C, segment_size). + Tensor: + Start index tensor (B,). """ b, c, t = paddle.shape(x) max_start_idx = x_lengths - segment_size @@ -306,9 +322,12 @@ def get_segments( segment_size: int, ) -> paddle.Tensor: """Get segments. Args: - x (Tensor): Input tensor (B, C, T). - start_idxs (Tensor): Start index tensor (B,). - segment_size (int): Segment size. + x (Tensor): + Input tensor (B, C, T). + start_idxs (Tensor): + Start index tensor (B,). + segment_size (int): + Segment size. Returns: Tensor: Segmented tensor (B, C, segment_size). """ @@ -353,14 +372,20 @@ def phones_masking(xs_pad: paddle.Tensor, span_bdy: paddle.Tensor=None): ''' Args: - xs_pad (paddle.Tensor): input speech (B, Tmax, D). - src_mask (paddle.Tensor): mask of speech (B, 1, Tmax). - align_start (paddle.Tensor): frame level phone alignment start (B, Tmax2). - align_end (paddle.Tensor): frame level phone alignment end (B, Tmax2). - align_start_lens (paddle.Tensor): length of align_start (B, ). + xs_pad (paddle.Tensor): + input speech (B, Tmax, D). + src_mask (paddle.Tensor): + mask of speech (B, 1, Tmax). + align_start (paddle.Tensor): + frame level phone alignment start (B, Tmax2). + align_end (paddle.Tensor): + frame level phone alignment end (B, Tmax2). + align_start_lens (paddle.Tensor): + length of align_start (B, ). mlm_prob (float): mean_phn_span (int): - span_bdy (paddle.Tensor): masked mel boundary of input speech (B, 2). + span_bdy (paddle.Tensor): + masked mel boundary of input speech (B, 2). Returns: paddle.Tensor[bool]: masked position of input speech (B, Tmax). ''' @@ -416,19 +441,29 @@ def phones_text_masking(xs_pad: paddle.Tensor, span_bdy: paddle.Tensor=None): ''' Args: - xs_pad (paddle.Tensor): input speech (B, Tmax, D). - src_mask (paddle.Tensor): mask of speech (B, 1, Tmax). - text_pad (paddle.Tensor): input text (B, Tmax2). - text_mask (paddle.Tensor): mask of text (B, 1, Tmax2). - align_start (paddle.Tensor): frame level phone alignment start (B, Tmax2). - align_end (paddle.Tensor): frame level phone alignment end (B, Tmax2). - align_start_lens (paddle.Tensor): length of align_start (B, ). + xs_pad (paddle.Tensor): + input speech (B, Tmax, D). + src_mask (paddle.Tensor): + mask of speech (B, 1, Tmax). + text_pad (paddle.Tensor): + input text (B, Tmax2). + text_mask (paddle.Tensor): + mask of text (B, 1, Tmax2). + align_start (paddle.Tensor): + frame level phone alignment start (B, Tmax2). + align_end (paddle.Tensor): + frame level phone alignment end (B, Tmax2). + align_start_lens (paddle.Tensor): + length of align_start (B, ). mlm_prob (float): mean_phn_span (int): - span_bdy (paddle.Tensor): masked mel boundary of input speech (B, 2). + span_bdy (paddle.Tensor): + masked mel boundary of input speech (B, 2). Returns: - paddle.Tensor[bool]: masked position of input speech (B, Tmax). - paddle.Tensor[bool]: masked position of input text (B, Tmax2). + paddle.Tensor[bool]: + masked position of input speech (B, Tmax). + paddle.Tensor[bool]: + masked position of input text (B, Tmax2). ''' bz, sent_len, _ = paddle.shape(xs_pad) masked_pos = paddle.zeros((bz, sent_len)) @@ -488,12 +523,18 @@ def get_seg_pos(speech_pad: paddle.Tensor, seg_emb: bool=False): ''' Args: - speech_pad (paddle.Tensor): input speech (B, Tmax, D). - text_pad (paddle.Tensor): input text (B, Tmax2). - align_start (paddle.Tensor): frame level phone alignment start (B, Tmax2). - align_end (paddle.Tensor): frame level phone alignment end (B, Tmax2). - align_start_lens (paddle.Tensor): length of align_start (B, ). - seg_emb (bool): whether to use segment embedding. + speech_pad (paddle.Tensor): + input speech (B, Tmax, D). + text_pad (paddle.Tensor): + input text (B, Tmax2). + align_start (paddle.Tensor): + frame level phone alignment start (B, Tmax2). + align_end (paddle.Tensor): + frame level phone alignment end (B, Tmax2). + align_start_lens (paddle.Tensor): + length of align_start (B, ). + seg_emb (bool): + whether to use segment embedding. Returns: paddle.Tensor[int]: n-th phone of each mel, 0<=n<=Tmax2 (B, Tmax). eg: @@ -579,8 +620,10 @@ def random_spans_noise_mask(length: int, def _random_seg(num_items, num_segs): """Partition a sequence of items randomly into non-empty segments. Args: - num_items: an integer scalar > 0 - num_segs: an integer scalar in [1, num_items] + num_items: + an integer scalar > 0 + num_segs: + an integer scalar in [1, num_items] Returns: a Tensor with shape [num_segs] containing positive integers that add up to num_items diff --git a/paddlespeech/t2s/modules/pqmf.py b/paddlespeech/t2s/modules/pqmf.py index 9860da906..7b42409d8 100644 --- a/paddlespeech/t2s/modules/pqmf.py +++ b/paddlespeech/t2s/modules/pqmf.py @@ -26,9 +26,12 @@ def design_prototype_filter(taps=62, cutoff_ratio=0.142, beta=9.0): filters of cosine modulated filterbanks`_. Args: - taps (int): The number of filter taps. - cutoff_ratio (float): Cut-off frequency ratio. - beta (float): Beta coefficient for kaiser window. + taps (int): + The number of filter taps. + cutoff_ratio (float): + Cut-off frequency ratio. + beta (float): + Beta coefficient for kaiser window. Returns: ndarray: Impluse response of prototype filter (taps + 1,). @@ -66,10 +69,14 @@ class PQMF(nn.Layer): See dicussion in https://github.com/kan-bayashi/ParallelWaveGAN/issues/195. Args: - subbands (int): The number of subbands. - taps (int): The number of filter taps. - cutoff_ratio (float): Cut-off frequency ratio. - beta (float): Beta coefficient for kaiser window. + subbands (int): + The number of subbands. + taps (int): + The number of filter taps. + cutoff_ratio (float): + Cut-off frequency ratio. + beta (float): + Beta coefficient for kaiser window. """ super().__init__() @@ -103,7 +110,8 @@ class PQMF(nn.Layer): def analysis(self, x): """Analysis with PQMF. Args: - x (Tensor): Input tensor (B, 1, T). + x (Tensor): + Input tensor (B, 1, T). Returns: Tensor: Output tensor (B, subbands, T // subbands). """ @@ -113,7 +121,8 @@ class PQMF(nn.Layer): def synthesis(self, x): """Synthesis with PQMF. Args: - x (Tensor): Input tensor (B, subbands, T // subbands). + x (Tensor): + Input tensor (B, subbands, T // subbands). Returns: Tensor: Output tensor (B, 1, T). """ diff --git a/paddlespeech/t2s/modules/predictor/duration_predictor.py b/paddlespeech/t2s/modules/predictor/duration_predictor.py index 33ed575b4..cb38fd5b4 100644 --- a/paddlespeech/t2s/modules/predictor/duration_predictor.py +++ b/paddlespeech/t2s/modules/predictor/duration_predictor.py @@ -50,12 +50,18 @@ class DurationPredictor(nn.Layer): """Initilize duration predictor module. Args: - idim (int):Input dimension. - n_layers (int, optional): Number of convolutional layers. - n_chans (int, optional): Number of channels of convolutional layers. - kernel_size (int, optional): Kernel size of convolutional layers. - dropout_rate (float, optional): Dropout rate. - offset (float, optional): Offset value to avoid nan in log domain. + idim (int): + Input dimension. + n_layers (int, optional): + Number of convolutional layers. + n_chans (int, optional): + Number of channels of convolutional layers. + kernel_size (int, optional): + Kernel size of convolutional layers. + dropout_rate (float, optional): + Dropout rate. + offset (float, optional): + Offset value to avoid nan in log domain. """ super().__init__() @@ -99,8 +105,10 @@ class DurationPredictor(nn.Layer): def forward(self, xs, x_masks=None): """Calculate forward propagation. Args: - xs(Tensor): Batch of input sequences (B, Tmax, idim). - x_masks(ByteTensor, optional, optional): Batch of masks indicating padded part (B, Tmax). (Default value = None) + xs(Tensor): + Batch of input sequences (B, Tmax, idim). + x_masks(ByteTensor, optional, optional): + Batch of masks indicating padded part (B, Tmax). (Default value = None) Returns: Tensor: Batch of predicted durations in log domain (B, Tmax). @@ -110,8 +118,10 @@ class DurationPredictor(nn.Layer): def inference(self, xs, x_masks=None): """Inference duration. Args: - xs(Tensor): Batch of input sequences (B, Tmax, idim). - x_masks(Tensor(bool), optional, optional): Batch of masks indicating padded part (B, Tmax). (Default value = None) + xs(Tensor): + Batch of input sequences (B, Tmax, idim). + x_masks(Tensor(bool), optional, optional): + Batch of masks indicating padded part (B, Tmax). (Default value = None) Returns: Tensor: Batch of predicted durations in linear domain int64 (B, Tmax). @@ -140,8 +150,10 @@ class DurationPredictorLoss(nn.Layer): """Calculate forward propagation. Args: - outputs(Tensor): Batch of prediction durations in log domain (B, T) - targets(Tensor): Batch of groundtruth durations in linear domain (B, T) + outputs(Tensor): + Batch of prediction durations in log domain (B, T) + targets(Tensor): + Batch of groundtruth durations in linear domain (B, T) Returns: Tensor: Mean squared error loss value. diff --git a/paddlespeech/t2s/modules/predictor/length_regulator.py b/paddlespeech/t2s/modules/predictor/length_regulator.py index e4fbf5491..bdfa18391 100644 --- a/paddlespeech/t2s/modules/predictor/length_regulator.py +++ b/paddlespeech/t2s/modules/predictor/length_regulator.py @@ -36,7 +36,8 @@ class LengthRegulator(nn.Layer): """Initilize length regulator module. Args: - pad_value (float, optional): Value used for padding. + pad_value (float, optional): + Value used for padding. """ super().__init__() @@ -97,9 +98,12 @@ class LengthRegulator(nn.Layer): """Calculate forward propagation. Args: - xs (Tensor): Batch of sequences of char or phoneme embeddings (B, Tmax, D). - ds (Tensor(int64)): Batch of durations of each frame (B, T). - alpha (float, optional): Alpha value to control speed of speech. + xs (Tensor): + Batch of sequences of char or phoneme embeddings (B, Tmax, D). + ds (Tensor(int64)): + Batch of durations of each frame (B, T). + alpha (float, optional): + Alpha value to control speed of speech. Returns: Tensor: replicated input tensor based on durations (B, T*, D). diff --git a/paddlespeech/t2s/modules/predictor/variance_predictor.py b/paddlespeech/t2s/modules/predictor/variance_predictor.py index 8afbf2576..4c2a67cc4 100644 --- a/paddlespeech/t2s/modules/predictor/variance_predictor.py +++ b/paddlespeech/t2s/modules/predictor/variance_predictor.py @@ -43,11 +43,16 @@ class VariancePredictor(nn.Layer): """Initilize duration predictor module. Args: - idim (int): Input dimension. - n_layers (int, optional): Number of convolutional layers. - n_chans (int, optional): Number of channels of convolutional layers. - kernel_size (int, optional): Kernel size of convolutional layers. - dropout_rate (float, optional): Dropout rate. + idim (int): + Input dimension. + n_layers (int, optional): + Number of convolutional layers. + n_chans (int, optional): + Number of channels of convolutional layers. + kernel_size (int, optional): + Kernel size of convolutional layers. + dropout_rate (float, optional): + Dropout rate. """ assert check_argument_types() super().__init__() @@ -74,11 +79,14 @@ class VariancePredictor(nn.Layer): """Calculate forward propagation. Args: - xs (Tensor): Batch of input sequences (B, Tmax, idim). - x_masks (Tensor(bool), optional): Batch of masks indicating padded part (B, Tmax, 1). + xs (Tensor): + Batch of input sequences (B, Tmax, idim). + x_masks (Tensor(bool), optional): + Batch of masks indicating padded part (B, Tmax, 1). Returns: - Tensor: Batch of predicted sequences (B, Tmax, 1). + Tensor: + Batch of predicted sequences (B, Tmax, 1). """ # (B, idim, Tmax) xs = xs.transpose([0, 2, 1]) diff --git a/paddlespeech/t2s/modules/residual_block.py b/paddlespeech/t2s/modules/residual_block.py index 5965a7203..f21eedecb 100644 --- a/paddlespeech/t2s/modules/residual_block.py +++ b/paddlespeech/t2s/modules/residual_block.py @@ -29,15 +29,24 @@ class WaveNetResidualBlock(nn.Layer): refer to `WaveNet: A Generative Model for Raw Audio `_. Args: - kernel_size (int, optional): Kernel size of the 1D convolution, by default 3 - residual_channels (int, optional): Feature size of the residual output(and also the input), by default 64 - gate_channels (int, optional): Output feature size of the 1D convolution, by default 128 - skip_channels (int, optional): Feature size of the skip output, by default 64 - aux_channels (int, optional): Feature size of the auxiliary input (e.g. spectrogram), by default 80 - dropout (float, optional): Probability of the dropout before the 1D convolution, by default 0. - dilation (int, optional): Dilation of the 1D convolution, by default 1 - bias (bool, optional): Whether to use bias in the 1D convolution, by default True - use_causal_conv (bool, optional): Whether to use causal padding for the 1D convolution, by default False + kernel_size (int, optional): + Kernel size of the 1D convolution, by default 3 + residual_channels (int, optional): + Feature size of the residual output(and also the input), by default 64 + gate_channels (int, optional): + Output feature size of the 1D convolution, by default 128 + skip_channels (int, optional): + Feature size of the skip output, by default 64 + aux_channels (int, optional): + Feature size of the auxiliary input (e.g. spectrogram), by default 80 + dropout (float, optional): + Probability of the dropout before the 1D convolution, by default 0. + dilation (int, optional): + Dilation of the 1D convolution, by default 1 + bias (bool, optional): + Whether to use bias in the 1D convolution, by default True + use_causal_conv (bool, optional): + Whether to use causal padding for the 1D convolution, by default False """ def __init__(self, @@ -81,13 +90,17 @@ class WaveNetResidualBlock(nn.Layer): def forward(self, x, c): """ Args: - x (Tensor): the input features. Shape (N, C_res, T) - c (Tensor): the auxiliary input. Shape (N, C_aux, T) + x (Tensor): + the input features. Shape (N, C_res, T) + c (Tensor): + the auxiliary input. Shape (N, C_aux, T) Returns: - res (Tensor): Shape (N, C_res, T), the residual output, which is used as the + res (Tensor): + Shape (N, C_res, T), the residual output, which is used as the input of the next ResidualBlock in a stack of ResidualBlocks. - skip (Tensor): Shape (N, C_skip, T), the skip output, which is collected among + skip (Tensor): + Shape (N, C_skip, T), the skip output, which is collected among each layer in a stack of ResidualBlocks. """ x_input = x @@ -121,13 +134,20 @@ class HiFiGANResidualBlock(nn.Layer): ): """Initialize HiFiGANResidualBlock module. Args: - kernel_size (int): Kernel size of dilation convolution layer. - channels (int): Number of channels for convolution layer. - dilations (List[int]): List of dilation factors. - use_additional_convs (bool): Whether to use additional convolution layers. - bias (bool): Whether to add bias parameter in convolution layers. - nonlinear_activation (str): Activation function module name. - nonlinear_activation_params (dict): Hyperparameters for activation function. + kernel_size (int): + Kernel size of dilation convolution layer. + channels (int): + Number of channels for convolution layer. + dilations (List[int]): + List of dilation factors. + use_additional_convs (bool): + Whether to use additional convolution layers. + bias (bool): + Whether to add bias parameter in convolution layers. + nonlinear_activation (str): + Activation function module name. + nonlinear_activation_params (dict): + Hyperparameters for activation function. """ super().__init__() @@ -167,7 +187,8 @@ class HiFiGANResidualBlock(nn.Layer): def forward(self, x): """Calculate forward propagation. Args: - x (Tensor): Input tensor (B, channels, T). + x (Tensor): + Input tensor (B, channels, T). Returns: Tensor: Output tensor (B, channels, T). """ diff --git a/paddlespeech/t2s/modules/residual_stack.py b/paddlespeech/t2s/modules/residual_stack.py index 0d949b563..98f5db3cf 100644 --- a/paddlespeech/t2s/modules/residual_stack.py +++ b/paddlespeech/t2s/modules/residual_stack.py @@ -39,15 +39,24 @@ class ResidualStack(nn.Layer): """Initialize ResidualStack module. Args: - kernel_size (int): Kernel size of dilation convolution layer. - channels (int): Number of channels of convolution layers. - dilation (int): Dilation factor. - bias (bool): Whether to add bias parameter in convolution layers. - nonlinear_activation (str): Activation function module name. - nonlinear_activation_params (Dict[str,Any]): Hyperparameters for activation function. - pad (str): Padding function module name before dilated convolution layer. - pad_params (Dict[str, Any]): Hyperparameters for padding function. - use_causal_conv (bool): Whether to use causal convolution. + kernel_size (int): + Kernel size of dilation convolution layer. + channels (int): + Number of channels of convolution layers. + dilation (int): + Dilation factor. + bias (bool): + Whether to add bias parameter in convolution layers. + nonlinear_activation (str): + Activation function module name. + nonlinear_activation_params (Dict[str,Any]): + Hyperparameters for activation function. + pad (str): + Padding function module name before dilated convolution layer. + pad_params (Dict[str, Any]): + Hyperparameters for padding function. + use_causal_conv (bool): + Whether to use causal convolution. """ super().__init__() # for compatibility @@ -95,7 +104,8 @@ class ResidualStack(nn.Layer): """Calculate forward propagation. Args: - c (Tensor): Input tensor (B, channels, T). + c (Tensor): + Input tensor (B, channels, T). Returns: Tensor: Output tensor (B, chennels, T). """ diff --git a/paddlespeech/t2s/modules/style_encoder.py b/paddlespeech/t2s/modules/style_encoder.py index 49091eac8..b558e7693 100644 --- a/paddlespeech/t2s/modules/style_encoder.py +++ b/paddlespeech/t2s/modules/style_encoder.py @@ -32,16 +32,26 @@ class StyleEncoder(nn.Layer): Speech Synthesis`: https://arxiv.org/abs/1803.09017 Args: - idim (int, optional): Dimension of the input mel-spectrogram. - gst_tokens (int, optional): The number of GST embeddings. - gst_token_dim (int, optional): Dimension of each GST embedding. - gst_heads (int, optional): The number of heads in GST multihead attention. - conv_layers (int, optional): The number of conv layers in the reference encoder. - conv_chans_list (Sequence[int], optional): List of the number of channels of conv layers in the referece encoder. - conv_kernel_size (int, optional): Kernal size of conv layers in the reference encoder. - conv_stride (int, optional): Stride size of conv layers in the reference encoder. - gru_layers (int, optional): The number of GRU layers in the reference encoder. - gru_units (int, optional):The number of GRU units in the reference encoder. + idim (int, optional): + Dimension of the input mel-spectrogram. + gst_tokens (int, optional): + The number of GST embeddings. + gst_token_dim (int, optional): + Dimension of each GST embedding. + gst_heads (int, optional): + The number of heads in GST multihead attention. + conv_layers (int, optional): + The number of conv layers in the reference encoder. + conv_chans_list (Sequence[int], optional): + List of the number of channels of conv layers in the referece encoder. + conv_kernel_size (int, optional): + Kernal size of conv layers in the reference encoder. + conv_stride (int, optional): + Stride size of conv layers in the reference encoder. + gru_layers (int, optional): + The number of GRU layers in the reference encoder. + gru_units (int, optional): + The number of GRU units in the reference encoder. Todo: * Support manual weight specification in inference. @@ -82,7 +92,8 @@ class StyleEncoder(nn.Layer): """Calculate forward propagation. Args: - speech (Tensor): Batch of padded target features (B, Lmax, odim). + speech (Tensor): + Batch of padded target features (B, Lmax, odim). Returns: Tensor: Style token embeddings (B, token_dim). @@ -104,13 +115,20 @@ class ReferenceEncoder(nn.Layer): Speech Synthesis`: https://arxiv.org/abs/1803.09017 Args: - idim (int, optional): Dimension of the input mel-spectrogram. - conv_layers (int, optional): The number of conv layers in the reference encoder. - conv_chans_list: (Sequence[int], optional): List of the number of channels of conv layers in the referece encoder. - conv_kernel_size (int, optional): Kernal size of conv layers in the reference encoder. - conv_stride (int, optional): Stride size of conv layers in the reference encoder. - gru_layers (int, optional): The number of GRU layers in the reference encoder. - gru_units (int, optional): The number of GRU units in the reference encoder. + idim (int, optional): + Dimension of the input mel-spectrogram. + conv_layers (int, optional): + The number of conv layers in the reference encoder. + conv_chans_list: (Sequence[int], optional): + List of the number of channels of conv layers in the referece encoder. + conv_kernel_size (int, optional): + Kernal size of conv layers in the reference encoder. + conv_stride (int, optional): + Stride size of conv layers in the reference encoder. + gru_layers (int, optional): + The number of GRU layers in the reference encoder. + gru_units (int, optional): + The number of GRU units in the reference encoder. """ @@ -168,7 +186,8 @@ class ReferenceEncoder(nn.Layer): def forward(self, speech: paddle.Tensor) -> paddle.Tensor: """Calculate forward propagation. Args: - speech (Tensor): Batch of padded target features (B, Lmax, idim). + speech (Tensor): + Batch of padded target features (B, Lmax, idim). Returns: Tensor: Reference embedding (B, gru_units) @@ -200,11 +219,16 @@ class StyleTokenLayer(nn.Layer): .. _`Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis`: https://arxiv.org/abs/1803.09017 Args: - ref_embed_dim (int, optional): Dimension of the input reference embedding. - gst_tokens (int, optional): The number of GST embeddings. - gst_token_dim (int, optional): Dimension of each GST embedding. - gst_heads (int, optional): The number of heads in GST multihead attention. - dropout_rate (float, optional): Dropout rate in multi-head attention. + ref_embed_dim (int, optional): + Dimension of the input reference embedding. + gst_tokens (int, optional): + The number of GST embeddings. + gst_token_dim (int, optional): + Dimension of each GST embedding. + gst_heads (int, optional): + The number of heads in GST multihead attention. + dropout_rate (float, optional): + Dropout rate in multi-head attention. """ @@ -236,7 +260,8 @@ class StyleTokenLayer(nn.Layer): """Calculate forward propagation. Args: - ref_embs (Tensor): Reference embeddings (B, ref_embed_dim). + ref_embs (Tensor): + Reference embeddings (B, ref_embed_dim). Returns: Tensor: Style token embeddings (B, gst_token_dim). diff --git a/paddlespeech/t2s/modules/tacotron2/attentions.py b/paddlespeech/t2s/modules/tacotron2/attentions.py index a6fde742d..cdaef4608 100644 --- a/paddlespeech/t2s/modules/tacotron2/attentions.py +++ b/paddlespeech/t2s/modules/tacotron2/attentions.py @@ -31,10 +31,14 @@ def _apply_attention_constraint(e, Text-to-Speech with Convolutional Sequence Learning`_. Args: - e(Tensor): Attention energy before applying softmax (1, T). - last_attended_idx(int): The index of the inputs of the last attended [0, T]. - backward_window(int, optional, optional): Backward window size in attention constraint. (Default value = 1) - forward_window(int, optional, optional): Forward window size in attetion constraint. (Default value = 3) + e(Tensor): + Attention energy before applying softmax (1, T). + last_attended_idx(int): + The index of the inputs of the last attended [0, T]. + backward_window(int, optional, optional): + Backward window size in attention constraint. (Default value = 1) + forward_window(int, optional, optional): + Forward window size in attetion constraint. (Default value = 3) Returns: Tensor: Monotonic constrained attention energy (1, T). @@ -62,12 +66,18 @@ class AttLoc(nn.Layer): (https://arxiv.org/pdf/1506.07503.pdf) Args: - eprojs (int): projection-units of encoder - dunits (int): units of decoder - att_dim (int): attention dimension - aconv_chans (int): channels of attention convolution - aconv_filts (int): filter size of attention convolution - han_mode (bool): flag to swith on mode of hierarchical attention and not store pre_compute_enc_h + eprojs (int): + projection-units of encoder + dunits (int): + units of decoder + att_dim (int): + attention dimension + aconv_chans (int): + channels of attention convolution + aconv_filts (int): + filter size of attention convolution + han_mode (bool): + flag to swith on mode of hierarchical attention and not store pre_compute_enc_h """ def __init__(self, @@ -117,18 +127,29 @@ class AttLoc(nn.Layer): forward_window=3, ): """Calculate AttLoc forward propagation. Args: - enc_hs_pad(Tensor): padded encoder hidden state (B, T_max, D_enc) - enc_hs_len(Tensor): padded encoder hidden state length (B) - dec_z(Tensor dec_z): decoder hidden state (B, D_dec) - att_prev(Tensor): previous attention weight (B, T_max) - scaling(float, optional): scaling parameter before applying softmax (Default value = 2.0) - forward_window(Tensor, optional): forward window size when constraining attention (Default value = 3) - last_attended_idx(int, optional): index of the inputs of the last attended (Default value = None) - backward_window(int, optional): backward window size in attention constraint (Default value = 1) - forward_window(int, optional): forward window size in attetion constraint (Default value = 3) + enc_hs_pad(Tensor): + padded encoder hidden state (B, T_max, D_enc) + enc_hs_len(Tensor): + padded encoder hidden state length (B) + dec_z(Tensor dec_z): + decoder hidden state (B, D_dec) + att_prev(Tensor): + previous attention weight (B, T_max) + scaling(float, optional): + scaling parameter before applying softmax (Default value = 2.0) + forward_window(Tensor, optional): + forward window size when constraining attention (Default value = 3) + last_attended_idx(int, optional): + index of the inputs of the last attended (Default value = None) + backward_window(int, optional): + backward window size in attention constraint (Default value = 1) + forward_window(int, optional): + forward window size in attetion constraint (Default value = 3) Returns: - Tensor: attention weighted encoder state (B, D_enc) - Tensor: previous attention weights (B, T_max) + Tensor: + attention weighted encoder state (B, D_enc) + Tensor: + previous attention weights (B, T_max) """ batch = paddle.shape(enc_hs_pad)[0] # pre-compute all h outside the decoder loop @@ -192,11 +213,16 @@ class AttForward(nn.Layer): (https://arxiv.org/pdf/1807.06736.pdf) Args: - eprojs (int): projection-units of encoder - dunits (int): units of decoder - att_dim (int): attention dimension - aconv_chans (int): channels of attention convolution - aconv_filts (int): filter size of attention convolution + eprojs (int): + projection-units of encoder + dunits (int): + units of decoder + att_dim (int): + attention dimension + aconv_chans (int): + channels of attention convolution + aconv_filts (int): + filter size of attention convolution """ def __init__(self, eprojs, dunits, att_dim, aconv_chans, aconv_filts): @@ -239,18 +265,28 @@ class AttForward(nn.Layer): """Calculate AttForward forward propagation. Args: - enc_hs_pad(Tensor): padded encoder hidden state (B, T_max, D_enc) - enc_hs_len(list): padded encoder hidden state length (B,) - dec_z(Tensor): decoder hidden state (B, D_dec) - att_prev(Tensor): attention weights of previous step (B, T_max) - scaling(float, optional): scaling parameter before applying softmax (Default value = 1.0) - last_attended_idx(int, optional): index of the inputs of the last attended (Default value = None) - backward_window(int, optional): backward window size in attention constraint (Default value = 1) - forward_window(int, optional): (Default value = 3) + enc_hs_pad(Tensor): + padded encoder hidden state (B, T_max, D_enc) + enc_hs_len(list): + padded encoder hidden state length (B,) + dec_z(Tensor): + decoder hidden state (B, D_dec) + att_prev(Tensor): + attention weights of previous step (B, T_max) + scaling(float, optional): + scaling parameter before applying softmax (Default value = 1.0) + last_attended_idx(int, optional): + index of the inputs of the last attended (Default value = None) + backward_window(int, optional): + backward window size in attention constraint (Default value = 1) + forward_window(int, optional): + (Default value = 3) Returns: - Tensor: attention weighted encoder state (B, D_enc) - Tensor: previous attention weights (B, T_max) + Tensor: + attention weighted encoder state (B, D_enc) + Tensor: + previous attention weights (B, T_max) """ batch = len(enc_hs_pad) # pre-compute all h outside the decoder loop @@ -321,12 +357,18 @@ class AttForwardTA(nn.Layer): (https://arxiv.org/pdf/1807.06736.pdf) Args: - eunits (int): units of encoder - dunits (int): units of decoder - att_dim (int): attention dimension - aconv_chans (int): channels of attention convolution - aconv_filts (int): filter size of attention convolution - odim (int): output dimension + eunits (int): + units of encoder + dunits (int): + units of decoder + att_dim (int): + attention dimension + aconv_chans (int): + channels of attention convolution + aconv_filts (int): + filter size of attention convolution + odim (int): + output dimension """ def __init__(self, eunits, dunits, att_dim, aconv_chans, aconv_filts, odim): @@ -372,19 +414,30 @@ class AttForwardTA(nn.Layer): """Calculate AttForwardTA forward propagation. Args: - enc_hs_pad(Tensor): padded encoder hidden state (B, Tmax, eunits) - enc_hs_len(list Tensor): padded encoder hidden state length (B,) - dec_z(Tensor): decoder hidden state (B, dunits) - att_prev(Tensor): attention weights of previous step (B, T_max) - out_prev(Tensor): decoder outputs of previous step (B, odim) - scaling(float, optional): scaling parameter before applying softmax (Default value = 1.0) - last_attended_idx(int, optional): index of the inputs of the last attended (Default value = None) - backward_window(int, optional): backward window size in attention constraint (Default value = 1) - forward_window(int, optional): (Default value = 3) + enc_hs_pad(Tensor): + padded encoder hidden state (B, Tmax, eunits) + enc_hs_len(list Tensor): + padded encoder hidden state length (B,) + dec_z(Tensor): + decoder hidden state (B, dunits) + att_prev(Tensor): + attention weights of previous step (B, T_max) + out_prev(Tensor): + decoder outputs of previous step (B, odim) + scaling(float, optional): + scaling parameter before applying softmax (Default value = 1.0) + last_attended_idx(int, optional): + index of the inputs of the last attended (Default value = None) + backward_window(int, optional): + backward window size in attention constraint (Default value = 1) + forward_window(int, optional): + (Default value = 3) Returns: - Tensor: attention weighted encoder state (B, dunits) - Tensor: previous attention weights (B, Tmax) + Tensor: + attention weighted encoder state (B, dunits) + Tensor: + previous attention weights (B, Tmax) """ batch = len(enc_hs_pad) # pre-compute all h outside the decoder loop diff --git a/paddlespeech/t2s/modules/tacotron2/decoder.py b/paddlespeech/t2s/modules/tacotron2/decoder.py index ebdfa3879..41c94b63f 100644 --- a/paddlespeech/t2s/modules/tacotron2/decoder.py +++ b/paddlespeech/t2s/modules/tacotron2/decoder.py @@ -45,10 +45,14 @@ class Prenet(nn.Layer): """Initialize prenet module. Args: - idim (int): Dimension of the inputs. - odim (int): Dimension of the outputs. - n_layers (int, optional): The number of prenet layers. - n_units (int, optional): The number of prenet units. + idim (int): + Dimension of the inputs. + odim (int): + Dimension of the outputs. + n_layers (int, optional): + The number of prenet layers. + n_units (int, optional): + The number of prenet units. """ super().__init__() self.dropout_rate = dropout_rate @@ -62,7 +66,8 @@ class Prenet(nn.Layer): """Calculate forward propagation. Args: - x (Tensor): Batch of input tensors (B, ..., idim). + x (Tensor): + Batch of input tensors (B, ..., idim). Returns: Tensor: Batch of output tensors (B, ..., odim). @@ -212,7 +217,8 @@ class ZoneOutCell(nn.Layer): """Calculate forward propagation. Args: - inputs (Tensor): Batch of input tensor (B, input_size). + inputs (Tensor): + Batch of input tensor (B, input_size). hidden (tuple): - Tensor: Batch of initial hidden states (B, hidden_size). - Tensor: Batch of initial cell states (B, hidden_size). @@ -277,26 +283,39 @@ class Decoder(nn.Layer): """Initialize Tacotron2 decoder module. Args: - idim (int): Dimension of the inputs. - odim (int): Dimension of the outputs. - att (nn.Layer): Instance of attention class. - dlayers (int, optional): The number of decoder lstm layers. - dunits (int, optional): The number of decoder lstm units. - prenet_layers (int, optional): The number of prenet layers. - prenet_units (int, optional): The number of prenet units. - postnet_layers (int, optional): The number of postnet layers. - postnet_filts (int, optional): The number of postnet filter size. - postnet_chans (int, optional): The number of postnet filter channels. - output_activation_fn (nn.Layer, optional): Activation function for outputs. - cumulate_att_w (bool, optional): Whether to cumulate previous attention weight. - use_batch_norm (bool, optional): Whether to use batch normalization. - use_concate : bool, optional + idim (int): + Dimension of the inputs. + odim (int): + Dimension of the outputs. + att (nn.Layer): + Instance of attention class. + dlayers (int, optional): + The number of decoder lstm layers. + dunits (int, optional): + The number of decoder lstm units. + prenet_layers (int, optional): + The number of prenet layers. + prenet_units (int, optional): + The number of prenet units. + postnet_layers (int, optional): + The number of postnet layers. + postnet_filts (int, optional): + The number of postnet filter size. + postnet_chans (int, optional): + The number of postnet filter channels. + output_activation_fn (nn.Layer, optional): + Activation function for outputs. + cumulate_att_w (bool, optional): + Whether to cumulate previous attention weight. + use_batch_norm (bool, optional): + Whether to use batch normalization. + use_concate (bool, optional): Whether to concatenate encoder embedding with decoder lstm outputs. - dropout_rate : float, optional + dropout_rate (float, optional): Dropout rate. - zoneout_rate : float, optional + zoneout_rate (float, optional): Zoneout rate. - reduction_factor : int, optional + reduction_factor (int, optional): Reduction factor. """ super().__init__() @@ -363,15 +382,22 @@ class Decoder(nn.Layer): """Calculate forward propagation. Args: - hs (Tensor): Batch of the sequences of padded hidden states (B, Tmax, idim). - hlens (Tensor(int64) padded): Batch of lengths of each input batch (B,). - ys (Tensor): Batch of the sequences of padded target features (B, Lmax, odim). + hs (Tensor): + Batch of the sequences of padded hidden states (B, Tmax, idim). + hlens (Tensor(int64) padded): + Batch of lengths of each input batch (B,). + ys (Tensor): + Batch of the sequences of padded target features (B, Lmax, odim). Returns: - Tensor: Batch of output tensors after postnet (B, Lmax, odim). - Tensor: Batch of output tensors before postnet (B, Lmax, odim). - Tensor: Batch of logits of stop prediction (B, Lmax). - Tensor: Batch of attention weights (B, Lmax, Tmax). + Tensor: + Batch of output tensors after postnet (B, Lmax, odim). + Tensor: + Batch of output tensors before postnet (B, Lmax, odim). + Tensor: + Batch of logits of stop prediction (B, Lmax). + Tensor: + Batch of attention weights (B, Lmax, Tmax). Note: This computation is performed in teacher-forcing manner. @@ -471,20 +497,30 @@ class Decoder(nn.Layer): forward_window=None, ): """Generate the sequence of features given the sequences of characters. Args: - h(Tensor): Input sequence of encoder hidden states (T, C). - threshold(float, optional, optional): Threshold to stop generation. (Default value = 0.5) - minlenratio(float, optional, optional): Minimum length ratio. If set to 1.0 and the length of input is 10, + h(Tensor): + Input sequence of encoder hidden states (T, C). + threshold(float, optional, optional): + Threshold to stop generation. (Default value = 0.5) + minlenratio(float, optional, optional): + Minimum length ratio. If set to 1.0 and the length of input is 10, the minimum length of outputs will be 10 * 1 = 10. (Default value = 0.0) - maxlenratio(float, optional, optional): Minimum length ratio. If set to 10 and the length of input is 10, + maxlenratio(float, optional, optional): + Minimum length ratio. If set to 10 and the length of input is 10, the maximum length of outputs will be 10 * 10 = 100. (Default value = 0.0) - use_att_constraint(bool, optional): Whether to apply attention constraint introduced in `Deep Voice 3`_. (Default value = False) - backward_window(int, optional): Backward window size in attention constraint. (Default value = None) - forward_window(int, optional): (Default value = None) + use_att_constraint(bool, optional): + Whether to apply attention constraint introduced in `Deep Voice 3`_. (Default value = False) + backward_window(int, optional): + Backward window size in attention constraint. (Default value = None) + forward_window(int, optional): + (Default value = None) Returns: - Tensor: Output sequence of features (L, odim). - Tensor: Output sequence of stop probabilities (L,). - Tensor: Attention weights (L, T). + Tensor: + Output sequence of features (L, odim). + Tensor: + Output sequence of stop probabilities (L,). + Tensor: + Attention weights (L, T). Note: This computation is performed in auto-regressive manner. @@ -625,9 +661,12 @@ class Decoder(nn.Layer): """Calculate all of the attention weights. Args: - hs (Tensor): Batch of the sequences of padded hidden states (B, Tmax, idim). - hlens (Tensor(int64)): Batch of lengths of each input batch (B,). - ys (Tensor): Batch of the sequences of padded target features (B, Lmax, odim). + hs (Tensor): + Batch of the sequences of padded hidden states (B, Tmax, idim). + hlens (Tensor(int64)): + Batch of lengths of each input batch (B,). + ys (Tensor): + Batch of the sequences of padded target features (B, Lmax, odim). Returns: numpy.ndarray: diff --git a/paddlespeech/t2s/modules/tacotron2/encoder.py b/paddlespeech/t2s/modules/tacotron2/encoder.py index db102a115..224c82400 100644 --- a/paddlespeech/t2s/modules/tacotron2/encoder.py +++ b/paddlespeech/t2s/modules/tacotron2/encoder.py @@ -46,17 +46,28 @@ class Encoder(nn.Layer): padding_idx=0, ): """Initialize Tacotron2 encoder module. Args: - idim (int): Dimension of the inputs. - input_layer (str): Input layer type. - embed_dim (int, optional): Dimension of character embedding. - elayers (int, optional): The number of encoder blstm layers. - eunits (int, optional): The number of encoder blstm units. - econv_layers (int, optional): The number of encoder conv layers. - econv_filts (int, optional): The number of encoder conv filter size. - econv_chans (int, optional): The number of encoder conv filter channels. - use_batch_norm (bool, optional): Whether to use batch normalization. - use_residual (bool, optional): Whether to use residual connection. - dropout_rate (float, optional): Dropout rate. + idim (int): + Dimension of the inputs. + input_layer (str): + Input layer type. + embed_dim (int, optional): + Dimension of character embedding. + elayers (int, optional): + The number of encoder blstm layers. + eunits (int, optional): + The number of encoder blstm units. + econv_layers (int, optional): + The number of encoder conv layers. + econv_filts (int, optional): + The number of encoder conv filter size. + econv_chans (int, optional): + The number of encoder conv filter channels. + use_batch_norm (bool, optional): + Whether to use batch normalization. + use_residual (bool, optional): + Whether to use residual connection. + dropout_rate (float, optional): + Dropout rate. """ super().__init__() @@ -127,14 +138,18 @@ class Encoder(nn.Layer): """Calculate forward propagation. Args: - xs (Tensor): Batch of the padded sequence. Either character ids (B, Tmax) + xs (Tensor): + Batch of the padded sequence. Either character ids (B, Tmax) or acoustic feature (B, Tmax, idim * encoder_reduction_factor). Padded value should be 0. - ilens (Tensor(int64)): Batch of lengths of each input batch (B,). + ilens (Tensor(int64)): + Batch of lengths of each input batch (B,). Returns: - Tensor: Batch of the sequences of encoder states(B, Tmax, eunits). - Tensor(int64): Batch of lengths of each sequence (B,) + Tensor: + Batch of the sequences of encoder states(B, Tmax, eunits). + Tensor(int64): + Batch of lengths of each sequence (B,) """ xs = self.embed(xs).transpose([0, 2, 1]) if self.convs is not None: @@ -161,8 +176,8 @@ class Encoder(nn.Layer): """Inference. Args: - x (Tensor): The sequeunce of character ids (T,) - or acoustic feature (T, idim * encoder_reduction_factor). + x (Tensor): + The sequeunce of character ids (T,) or acoustic feature (T, idim * encoder_reduction_factor). Returns: Tensor: The sequences of encoder states(T, eunits). diff --git a/paddlespeech/t2s/modules/tade_res_block.py b/paddlespeech/t2s/modules/tade_res_block.py index b2275e236..799cbe9fd 100644 --- a/paddlespeech/t2s/modules/tade_res_block.py +++ b/paddlespeech/t2s/modules/tade_res_block.py @@ -60,11 +60,15 @@ class TADELayer(nn.Layer): def forward(self, x, c): """Calculate forward propagation. Args: - x (Tensor): Input tensor (B, in_channels, T). - c (Tensor): Auxiliary input tensor (B, aux_channels, T). + x (Tensor): + Input tensor (B, in_channels, T). + c (Tensor): + Auxiliary input tensor (B, aux_channels, T). Returns: - Tensor: Output tensor (B, in_channels, T * upsample_factor). - Tensor: Upsampled aux tensor (B, in_channels, T * upsample_factor). + Tensor: + Output tensor (B, in_channels, T * upsample_factor). + Tensor: + Upsampled aux tensor (B, in_channels, T * upsample_factor). """ x = self.norm(x) @@ -138,11 +142,15 @@ class TADEResBlock(nn.Layer): """Calculate forward propagation. Args: - x (Tensor): Input tensor (B, in_channels, T). - c (Tensor): Auxiliary input tensor (B, aux_channels, T). + x (Tensor): + Input tensor (B, in_channels, T). + c (Tensor): + Auxiliary input tensor (B, aux_channels, T). Returns: - Tensor: Output tensor (B, in_channels, T * upsample_factor). - Tensor: Upsampled auxirialy tensor (B, in_channels, T * upsample_factor). + Tensor: + Output tensor (B, in_channels, T * upsample_factor). + Tensor: + Upsampled auxirialy tensor (B, in_channels, T * upsample_factor). """ residual = x x, c = self.tade1(x, c) diff --git a/paddlespeech/t2s/modules/transformer/attention.py b/paddlespeech/t2s/modules/transformer/attention.py index 538a36b6b..d7a032445 100644 --- a/paddlespeech/t2s/modules/transformer/attention.py +++ b/paddlespeech/t2s/modules/transformer/attention.py @@ -25,9 +25,12 @@ from paddlespeech.t2s.modules.masked_fill import masked_fill class MultiHeadedAttention(nn.Layer): """Multi-Head Attention layer. Args: - n_head (int): The number of heads. - n_feat (int): The number of features. - dropout_rate (float): Dropout rate. + n_head (int): + The number of heads. + n_feat (int): + The number of features. + dropout_rate (float): + Dropout rate. """ def __init__(self, n_head, n_feat, dropout_rate): @@ -48,14 +51,20 @@ class MultiHeadedAttention(nn.Layer): """Transform query, key and value. Args: - query(Tensor): query tensor (#batch, time1, size). - key(Tensor): Key tensor (#batch, time2, size). - value(Tensor): Value tensor (#batch, time2, size). + query(Tensor): + query tensor (#batch, time1, size). + key(Tensor): + Key tensor (#batch, time2, size). + value(Tensor): + Value tensor (#batch, time2, size). Returns: - Tensor: Transformed query tensor (#batch, n_head, time1, d_k). - Tensor: Transformed key tensor (#batch, n_head, time2, d_k). - Tensor: Transformed value tensor (#batch, n_head, time2, d_k). + Tensor: + Transformed query tensor (#batch, n_head, time1, d_k). + Tensor: + Transformed key tensor (#batch, n_head, time2, d_k). + Tensor: + Transformed value tensor (#batch, n_head, time2, d_k). """ n_batch = paddle.shape(query)[0] @@ -77,9 +86,12 @@ class MultiHeadedAttention(nn.Layer): """Compute attention context vector. Args: - value(Tensor): Transformed value (#batch, n_head, time2, d_k). - scores(Tensor): Attention score (#batch, n_head, time1, time2). - mask(Tensor, optional): Mask (#batch, 1, time2) or (#batch, time1, time2). (Default value = None) + value(Tensor): + Transformed value (#batch, n_head, time2, d_k). + scores(Tensor): + Attention score (#batch, n_head, time1, time2). + mask(Tensor, optional): + Mask (#batch, 1, time2) or (#batch, time1, time2). (Default value = None) Returns: Tensor: Transformed value (#batch, time1, d_model) weighted by the attention score (#batch, time1, time2). @@ -113,10 +125,14 @@ class MultiHeadedAttention(nn.Layer): """Compute scaled dot product attention. Args: - query(Tensor): Query tensor (#batch, time1, size). - key(Tensor): Key tensor (#batch, time2, size). - value(Tensor): Value tensor (#batch, time2, size). - mask(Tensor, optional): Mask tensor (#batch, 1, time2) or (#batch, time1, time2). (Default value = None) + query(Tensor): + Query tensor (#batch, time1, size). + key(Tensor): + Key tensor (#batch, time2, size). + value(Tensor): + Value tensor (#batch, time2, size). + mask(Tensor, optional): + Mask tensor (#batch, 1, time2) or (#batch, time1, time2). (Default value = None) Returns: Tensor: Output tensor (#batch, time1, d_model). @@ -134,10 +150,14 @@ class RelPositionMultiHeadedAttention(MultiHeadedAttention): Paper: https://arxiv.org/abs/1901.02860 Args: - n_head (int): The number of heads. - n_feat (int): The number of features. - dropout_rate (float): Dropout rate. - zero_triu (bool): Whether to zero the upper triangular part of attention matrix. + n_head (int): + The number of heads. + n_feat (int): + The number of features. + dropout_rate (float): + Dropout rate. + zero_triu (bool): + Whether to zero the upper triangular part of attention matrix. """ def __init__(self, n_head, n_feat, dropout_rate, zero_triu=False): @@ -161,10 +181,11 @@ class RelPositionMultiHeadedAttention(MultiHeadedAttention): def rel_shift(self, x): """Compute relative positional encoding. Args: - x(Tensor): Input tensor (batch, head, time1, 2*time1-1). + x(Tensor): + Input tensor (batch, head, time1, 2*time1-1). Returns: - Tensor:Output tensor. + Tensor: Output tensor. """ b, h, t1, t2 = paddle.shape(x) zero_pad = paddle.zeros((b, h, t1, 1)) @@ -183,11 +204,16 @@ class RelPositionMultiHeadedAttention(MultiHeadedAttention): """Compute 'Scaled Dot Product Attention' with rel. positional encoding. Args: - query(Tensor): Query tensor (#batch, time1, size). - key(Tensor): Key tensor (#batch, time2, size). - value(Tensor): Value tensor (#batch, time2, size). - pos_emb(Tensor): Positional embedding tensor (#batch, 2*time1-1, size). - mask(Tensor): Mask tensor (#batch, 1, time2) or (#batch, time1, time2). + query(Tensor): + Query tensor (#batch, time1, size). + key(Tensor): + Key tensor (#batch, time2, size). + value(Tensor): + Value tensor (#batch, time2, size). + pos_emb(Tensor): + Positional embedding tensor (#batch, 2*time1-1, size). + mask(Tensor): + Mask tensor (#batch, 1, time2) or (#batch, time1, time2). Returns: Tensor: Output tensor (#batch, time1, d_model). @@ -228,10 +254,14 @@ class LegacyRelPositionMultiHeadedAttention(MultiHeadedAttention): Paper: https://arxiv.org/abs/1901.02860 Args: - n_head (int): The number of heads. - n_feat (int): The number of features. - dropout_rate (float): Dropout rate. - zero_triu (bool): Whether to zero the upper triangular part of attention matrix. + n_head (int): + The number of heads. + n_feat (int): + The number of features. + dropout_rate (float): + Dropout rate. + zero_triu (bool): + Whether to zero the upper triangular part of attention matrix. """ def __init__(self, n_head, n_feat, dropout_rate, zero_triu=False): @@ -255,8 +285,8 @@ class LegacyRelPositionMultiHeadedAttention(MultiHeadedAttention): def rel_shift(self, x): """Compute relative positional encoding. Args: - x(Tensor): Input tensor (batch, head, time1, time2). - + x(Tensor): + Input tensor (batch, head, time1, time2). Returns: Tensor:Output tensor. """ diff --git a/paddlespeech/t2s/modules/transformer/decoder.py b/paddlespeech/t2s/modules/transformer/decoder.py index a8db7345a..e68487678 100644 --- a/paddlespeech/t2s/modules/transformer/decoder.py +++ b/paddlespeech/t2s/modules/transformer/decoder.py @@ -37,28 +37,46 @@ class Decoder(nn.Layer): """Transfomer decoder module. Args: - odim (int): Output diminsion. - self_attention_layer_type (str): Self-attention layer type. - attention_dim (int): Dimention of attention. - attention_heads (int): The number of heads of multi head attention. - conv_wshare (int): The number of kernel of convolution. Only used in + odim (int): + Output diminsion. + self_attention_layer_type (str): + Self-attention layer type. + attention_dim (int): + Dimention of attention. + attention_heads (int): + The number of heads of multi head attention. + conv_wshare (int): + The number of kernel of convolution. Only used in self_attention_layer_type == "lightconv*" or "dynamiconv*". - conv_kernel_length (Union[int, str]):Kernel size str of convolution + conv_kernel_length (Union[int, str]): + Kernel size str of convolution (e.g. 71_71_71_71_71_71). Only used in self_attention_layer_type == "lightconv*" or "dynamiconv*". - conv_usebias (bool): Whether to use bias in convolution. Only used in + conv_usebias (bool): + Whether to use bias in convolution. Only used in self_attention_layer_type == "lightconv*" or "dynamiconv*". - linear_units(int): The number of units of position-wise feed forward. - num_blocks (int): The number of decoder blocks. - dropout_rate (float): Dropout rate. - positional_dropout_rate (float): Dropout rate after adding positional encoding. - self_attention_dropout_rate (float): Dropout rate in self-attention. - src_attention_dropout_rate (float): Dropout rate in source-attention. - input_layer (Union[str, nn.Layer]): Input layer type. - use_output_layer (bool): Whether to use output layer. - pos_enc_class (nn.Layer): Positional encoding module class. + linear_units(int): + The number of units of position-wise feed forward. + num_blocks (int): + The number of decoder blocks. + dropout_rate (float): + Dropout rate. + positional_dropout_rate (float): + Dropout rate after adding positional encoding. + self_attention_dropout_rate (float): + Dropout rate in self-attention. + src_attention_dropout_rate (float): + Dropout rate in source-attention. + input_layer (Union[str, nn.Layer]): + Input layer type. + use_output_layer (bool): + Whether to use output layer. + pos_enc_class (nn.Layer): + Positional encoding module class. `PositionalEncoding `or `ScaledPositionalEncoding` - normalize_before (bool): Whether to use layer_norm before the first block. - concat_after (bool): Whether to concat attention layer's input and output. + normalize_before (bool): + Whether to use layer_norm before the first block. + concat_after (bool): + Whether to concat attention layer's input and output. if True, additional linear will be applied. i.e. x -> x + linear(concat(x, att(x))) if False, no additional linear will be applied. i.e. x -> x + att(x) @@ -143,17 +161,22 @@ class Decoder(nn.Layer): def forward(self, tgt, tgt_mask, memory, memory_mask): """Forward decoder. Args: - tgt(Tensor): Input token ids, int64 (#batch, maxlen_out) if input_layer == "embed". + tgt(Tensor): + Input token ids, int64 (#batch, maxlen_out) if input_layer == "embed". In the other case, input tensor (#batch, maxlen_out, odim). - tgt_mask(Tensor): Input token mask (#batch, maxlen_out). - memory(Tensor): Encoded memory, float32 (#batch, maxlen_in, feat). - memory_mask(Tensor): Encoded memory mask (#batch, maxlen_in). + tgt_mask(Tensor): + Input token mask (#batch, maxlen_out). + memory(Tensor): + Encoded memory, float32 (#batch, maxlen_in, feat). + memory_mask(Tensor): + Encoded memory mask (#batch, maxlen_in). Returns: Tensor: Decoded token score before softmax (#batch, maxlen_out, odim) if use_output_layer is True. In the other case,final block outputs (#batch, maxlen_out, attention_dim). - Tensor: Score mask before softmax (#batch, maxlen_out). + Tensor: + Score mask before softmax (#batch, maxlen_out). """ x = self.embed(tgt) @@ -169,14 +192,20 @@ class Decoder(nn.Layer): """Forward one step. Args: - tgt(Tensor): Input token ids, int64 (#batch, maxlen_out). - tgt_mask(Tensor): Input token mask (#batch, maxlen_out). - memory(Tensor): Encoded memory, float32 (#batch, maxlen_in, feat). - cache((List[Tensor]), optional): List of cached tensors. (Default value = None) + tgt(Tensor): + Input token ids, int64 (#batch, maxlen_out). + tgt_mask(Tensor): + Input token mask (#batch, maxlen_out). + memory(Tensor): + Encoded memory, float32 (#batch, maxlen_in, feat). + cache((List[Tensor]), optional): + List of cached tensors. (Default value = None) Returns: - Tensor: Output tensor (batch, maxlen_out, odim). - List[Tensor]: List of cache tensors of each decoder layer. + Tensor: + Output tensor (batch, maxlen_out, odim). + List[Tensor]: + List of cache tensors of each decoder layer. """ x = self.embed(tgt) @@ -219,9 +248,12 @@ class Decoder(nn.Layer): """Score new token batch (required). Args: - ys(Tensor): paddle.int64 prefix tokens (n_batch, ylen). - states(List[Any]): Scorer states for prefix tokens. - xs(Tensor): The encoder feature that generates ys (n_batch, xlen, n_feat). + ys(Tensor): + paddle.int64 prefix tokens (n_batch, ylen). + states(List[Any]): + Scorer states for prefix tokens. + xs(Tensor): + The encoder feature that generates ys (n_batch, xlen, n_feat). Returns: tuple[Tensor, List[Any]]: diff --git a/paddlespeech/t2s/modules/transformer/decoder_layer.py b/paddlespeech/t2s/modules/transformer/decoder_layer.py index 9a13cd794..0a79e9548 100644 --- a/paddlespeech/t2s/modules/transformer/decoder_layer.py +++ b/paddlespeech/t2s/modules/transformer/decoder_layer.py @@ -24,16 +24,23 @@ class DecoderLayer(nn.Layer): Args: - size (int): Input dimension. - self_attn (nn.Layer): Self-attention module instance. + size (int): + Input dimension. + self_attn (nn.Layer): + Self-attention module instance. `MultiHeadedAttention` instance can be used as the argument. - src_attn (nn.Layer): Self-attention module instance. + src_attn (nn.Layer): + Self-attention module instance. `MultiHeadedAttention` instance can be used as the argument. - feed_forward (nn.Layer): Feed-forward module instance. + feed_forward (nn.Layer): + Feed-forward module instance. `PositionwiseFeedForward`, `MultiLayeredConv1d`, or `Conv1dLinear` instance can be used as the argument. - dropout_rate (float): Dropout rate. - normalize_before (bool): Whether to use layer_norm before the first block. - concat_after (bool): Whether to concat attention layer's input and output. + dropout_rate (float): + Dropout rate. + normalize_before (bool): + Whether to use layer_norm before the first block. + concat_after (bool): + Whether to concat attention layer's input and output. if True, additional linear will be applied. i.e. x -> x + linear(concat(x, att(x))) if False, no additional linear will be applied. i.e. x -> x + att(x) @@ -69,11 +76,16 @@ class DecoderLayer(nn.Layer): """Compute decoded features. Args: - tgt(Tensor): Input tensor (#batch, maxlen_out, size). - tgt_mask(Tensor): Mask for input tensor (#batch, maxlen_out). - memory(Tensor): Encoded memory, float32 (#batch, maxlen_in, size). - memory_mask(Tensor): Encoded memory mask (#batch, maxlen_in). - cache(List[Tensor], optional): List of cached tensors. + tgt(Tensor): + Input tensor (#batch, maxlen_out, size). + tgt_mask(Tensor): + Mask for input tensor (#batch, maxlen_out). + memory(Tensor): + Encoded memory, float32 (#batch, maxlen_in, size). + memory_mask(Tensor): + Encoded memory mask (#batch, maxlen_in). + cache(List[Tensor], optional): + List of cached tensors. Each tensor shape should be (#batch, maxlen_out - 1, size). (Default value = None) Returns: Tensor diff --git a/paddlespeech/t2s/modules/transformer/embedding.py b/paddlespeech/t2s/modules/transformer/embedding.py index 9524f07ee..7ba301cbd 100644 --- a/paddlespeech/t2s/modules/transformer/embedding.py +++ b/paddlespeech/t2s/modules/transformer/embedding.py @@ -23,11 +23,16 @@ class PositionalEncoding(nn.Layer): """Positional encoding. Args: - d_model (int): Embedding dimension. - dropout_rate (float): Dropout rate. - max_len (int): Maximum input length. - reverse (bool): Whether to reverse the input position. - type (str): dtype of param + d_model (int): + Embedding dimension. + dropout_rate (float): + Dropout rate. + max_len (int): + Maximum input length. + reverse (bool): + Whether to reverse the input position. + type (str): + dtype of param """ def __init__(self, @@ -68,7 +73,8 @@ class PositionalEncoding(nn.Layer): """Add positional encoding. Args: - x (Tensor): Input tensor (batch, time, `*`). + x (Tensor): + Input tensor (batch, time, `*`). Returns: Tensor: Encoded tensor (batch, time, `*`). @@ -84,10 +90,14 @@ class ScaledPositionalEncoding(PositionalEncoding): See Sec. 3.2 https://arxiv.org/abs/1809.08895 Args: - d_model (int): Embedding dimension. - dropout_rate (float): Dropout rate. - max_len (int): Maximum input length. - dtype (str): dtype of param + d_model (int): + Embedding dimension. + dropout_rate (float): + Dropout rate. + max_len (int): + Maximum input length. + dtype (str): + dtype of param """ def __init__(self, d_model, dropout_rate, max_len=5000, dtype="float32"): @@ -111,7 +121,8 @@ class ScaledPositionalEncoding(PositionalEncoding): """Add positional encoding. Args: - x (Tensor): Input tensor (batch, time, `*`). + x (Tensor): + Input tensor (batch, time, `*`). Returns: Tensor: Encoded tensor (batch, time, `*`). """ @@ -127,9 +138,12 @@ class RelPositionalEncoding(nn.Layer): See : Appendix B in https://arxiv.org/abs/1901.02860 Args: - d_model (int): Embedding dimension. - dropout_rate (float): Dropout rate. - max_len (int): Maximum input length. + d_model (int): + Embedding dimension. + dropout_rate (float): + Dropout rate. + max_len (int): + Maximum input length. """ def __init__(self, d_model, dropout_rate, max_len=5000, dtype="float32"): @@ -175,7 +189,8 @@ class RelPositionalEncoding(nn.Layer): def forward(self, x: paddle.Tensor): """Add positional encoding. Args: - x (Tensor):Input tensor (batch, time, `*`). + x (Tensor): + Input tensor (batch, time, `*`). Returns: Tensor: Encoded tensor (batch, time, `*`). """ @@ -195,18 +210,24 @@ class LegacyRelPositionalEncoding(PositionalEncoding): See : Appendix B in https://arxiv.org/abs/1901.02860 Args: - d_model (int): Embedding dimension. - dropout_rate (float): Dropout rate. - max_len (int): Maximum input length. + d_model (int): + Embedding dimension. + dropout_rate (float): + Dropout rate. + max_len (int): + Maximum input length. """ def __init__(self, d_model: int, dropout_rate: float, max_len: int=5000): """ Args: - d_model (int): Embedding dimension. - dropout_rate (float): Dropout rate. - max_len (int, optional): [Maximum input length.]. Defaults to 5000. + d_model (int): + Embedding dimension. + dropout_rate (float): + Dropout rate. + max_len (int, optional): + [Maximum input length.]. Defaults to 5000. """ super().__init__(d_model, dropout_rate, max_len, reverse=True) @@ -234,10 +255,13 @@ class LegacyRelPositionalEncoding(PositionalEncoding): def forward(self, x: paddle.Tensor): """Compute positional encoding. Args: - x (paddle.Tensor): Input tensor (batch, time, `*`). + x (Tensor): + Input tensor (batch, time, `*`). Returns: - paddle.Tensor: Encoded tensor (batch, time, `*`). - paddle.Tensor: Positional embedding tensor (1, time, `*`). + Tensor: + Encoded tensor (batch, time, `*`). + Tensor: + Positional embedding tensor (1, time, `*`). """ self.extend_pe(x) x = x * self.xscale diff --git a/paddlespeech/t2s/modules/transformer/encoder.py b/paddlespeech/t2s/modules/transformer/encoder.py index 11986360a..f2aed5892 100644 --- a/paddlespeech/t2s/modules/transformer/encoder.py +++ b/paddlespeech/t2s/modules/transformer/encoder.py @@ -38,32 +38,55 @@ class BaseEncoder(nn.Layer): """Base Encoder module. Args: - idim (int): Input dimension. - attention_dim (int): Dimention of attention. - attention_heads (int): The number of heads of multi head attention. - linear_units (int): The number of units of position-wise feed forward. - num_blocks (int): The number of decoder blocks. - dropout_rate (float): Dropout rate. - positional_dropout_rate (float): Dropout rate after adding positional encoding. - attention_dropout_rate (float): Dropout rate in attention. - input_layer (Union[str, nn.Layer]): Input layer type. - normalize_before (bool): Whether to use layer_norm before the first block. - concat_after (bool): Whether to concat attention layer's input and output. + idim (int): + Input dimension. + attention_dim (int): + Dimention of attention. + attention_heads (int): + The number of heads of multi head attention. + linear_units (int): + The number of units of position-wise feed forward. + num_blocks (int): + The number of decoder blocks. + dropout_rate (float): + Dropout rate. + positional_dropout_rate (float): + Dropout rate after adding positional encoding. + attention_dropout_rate (float): + Dropout rate in attention. + input_layer (Union[str, nn.Layer]): + Input layer type. + normalize_before (bool): + Whether to use layer_norm before the first block. + concat_after (bool): + Whether to concat attention layer's input and output. if True, additional linear will be applied. i.e. x -> x + linear(concat(x, att(x))) if False, no additional linear will be applied. i.e. x -> x + att(x) - positionwise_layer_type (str): "linear", "conv1d", or "conv1d-linear". - positionwise_conv_kernel_size (int): Kernel size of positionwise conv1d layer. - macaron_style (bool): Whether to use macaron style for positionwise layer. - pos_enc_layer_type (str): Encoder positional encoding layer type. - selfattention_layer_type (str): Encoder attention layer type. - activation_type (str): Encoder activation function type. - use_cnn_module (bool): Whether to use convolution module. - zero_triu (bool): Whether to zero the upper triangular part of attention matrix. - cnn_module_kernel (int): Kernerl size of convolution module. - padding_idx (int): Padding idx for input_layer=embed. - stochastic_depth_rate (float): Maximum probability to skip the encoder layer. - intermediate_layers (Union[List[int], None]): indices of intermediate CTC layer. + positionwise_layer_type (str): + "linear", "conv1d", or "conv1d-linear". + positionwise_conv_kernel_size (int): + Kernel size of positionwise conv1d layer. + macaron_style (bool): + Whether to use macaron style for positionwise layer. + pos_enc_layer_type (str): + Encoder positional encoding layer type. + selfattention_layer_type (str): + Encoder attention layer type. + activation_type (str): + Encoder activation function type. + use_cnn_module (bool): + Whether to use convolution module. + zero_triu (bool): + Whether to zero the upper triangular part of attention matrix. + cnn_module_kernel (int): + Kernerl size of convolution module. + padding_idx (int): + Padding idx for input_layer=embed. + stochastic_depth_rate (float): + Maximum probability to skip the encoder layer. + intermediate_layers (Union[List[int], None]): + indices of intermediate CTC layer. indices start from 1. if not None, intermediate outputs are returned (which changes return type signature.) @@ -266,12 +289,16 @@ class BaseEncoder(nn.Layer): """Encode input sequence. Args: - xs (Tensor): Input tensor (#batch, time, idim). - masks (Tensor): Mask tensor (#batch, 1, time). + xs (Tensor): + Input tensor (#batch, time, idim). + masks (Tensor): + Mask tensor (#batch, 1, time). Returns: - Tensor: Output tensor (#batch, time, attention_dim). - Tensor: Mask tensor (#batch, 1, time). + Tensor: + Output tensor (#batch, time, attention_dim). + Tensor: + Mask tensor (#batch, 1, time). """ xs = self.embed(xs) xs, masks = self.encoders(xs, masks) @@ -284,26 +311,43 @@ class TransformerEncoder(BaseEncoder): """Transformer encoder module. Args: - idim (int): Input dimension. - attention_dim (int): Dimention of attention. - attention_heads (int): The number of heads of multi head attention. - linear_units (int): The number of units of position-wise feed forward. - num_blocks (int): The number of decoder blocks. - dropout_rate (float): Dropout rate. - positional_dropout_rate (float): Dropout rate after adding positional encoding. - attention_dropout_rate (float): Dropout rate in attention. - input_layer (Union[str, paddle.nn.Layer]): Input layer type. - pos_enc_layer_type (str): Encoder positional encoding layer type. - normalize_before (bool): Whether to use layer_norm before the first block. - concat_after (bool): Whether to concat attention layer's input and output. + idim (int): + Input dimension. + attention_dim (int): + Dimention of attention. + attention_heads (int): + The number of heads of multi head attention. + linear_units (int): + The number of units of position-wise feed forward. + num_blocks (int): + The number of decoder blocks. + dropout_rate (float): + Dropout rate. + positional_dropout_rate (float): + Dropout rate after adding positional encoding. + attention_dropout_rate (float): + Dropout rate in attention. + input_layer (Union[str, paddle.nn.Layer]): + Input layer type. + pos_enc_layer_type (str): + Encoder positional encoding layer type. + normalize_before (bool): + Whether to use layer_norm before the first block. + concat_after (bool): + Whether to concat attention layer's input and output. if True, additional linear will be applied. i.e. x -> x + linear(concat(x, att(x))) if False, no additional linear will be applied. i.e. x -> x + att(x) - positionwise_layer_type (str): "linear", "conv1d", or "conv1d-linear". - positionwise_conv_kernel_size (int): Kernel size of positionwise conv1d layer. - selfattention_layer_type (str): Encoder attention layer type. - activation_type (str): Encoder activation function type. - padding_idx (int): Padding idx for input_layer=embed. + positionwise_layer_type (str): + "linear", "conv1d", or "conv1d-linear". + positionwise_conv_kernel_size (int): + Kernel size of positionwise conv1d layer. + selfattention_layer_type (str): + Encoder attention layer type. + activation_type (str): + Encoder activation function type. + padding_idx (int): + Padding idx for input_layer=embed. """ def __init__( @@ -350,12 +394,16 @@ class TransformerEncoder(BaseEncoder): """Encoder input sequence. Args: - xs(Tensor): Input tensor (#batch, time, idim). - masks(Tensor): Mask tensor (#batch, 1, time). + xs(Tensor): + Input tensor (#batch, time, idim). + masks(Tensor): + Mask tensor (#batch, 1, time). Returns: - Tensor: Output tensor (#batch, time, attention_dim). - Tensor: Mask tensor (#batch, 1, time). + Tensor: + Output tensor (#batch, time, attention_dim). + Tensor: + Mask tensor (#batch, 1, time). """ xs = self.embed(xs) xs, masks = self.encoders(xs, masks) @@ -367,14 +415,20 @@ class TransformerEncoder(BaseEncoder): """Encode input frame. Args: - xs (Tensor): Input tensor. - masks (Tensor): Mask tensor. - cache (List[Tensor]): List of cache tensors. + xs (Tensor): + Input tensor. + masks (Tensor): + Mask tensor. + cache (List[Tensor]): + List of cache tensors. Returns: - Tensor: Output tensor. - Tensor: Mask tensor. - List[Tensor]: List of new cache tensors. + Tensor: + Output tensor. + Tensor: + Mask tensor. + List[Tensor]: + List of new cache tensors. """ xs = self.embed(xs) @@ -393,32 +447,55 @@ class ConformerEncoder(BaseEncoder): """Conformer encoder module. Args: - idim (int): Input dimension. - attention_dim (int): Dimention of attention. - attention_heads (int): The number of heads of multi head attention. - linear_units (int): The number of units of position-wise feed forward. - num_blocks (int): The number of decoder blocks. - dropout_rate (float): Dropout rate. - positional_dropout_rate (float): Dropout rate after adding positional encoding. - attention_dropout_rate (float): Dropout rate in attention. - input_layer (Union[str, nn.Layer]): Input layer type. - normalize_before (bool): Whether to use layer_norm before the first block. - concat_after (bool):Whether to concat attention layer's input and output. + idim (int): + Input dimension. + attention_dim (int): + Dimention of attention. + attention_heads (int): + The number of heads of multi head attention. + linear_units (int): + The number of units of position-wise feed forward. + num_blocks (int): + The number of decoder blocks. + dropout_rate (float): + Dropout rate. + positional_dropout_rate (float): + Dropout rate after adding positional encoding. + attention_dropout_rate (float): + Dropout rate in attention. + input_layer (Union[str, nn.Layer]): + Input layer type. + normalize_before (bool): + Whether to use layer_norm before the first block. + concat_after (bool): + Whether to concat attention layer's input and output. if True, additional linear will be applied. i.e. x -> x + linear(concat(x, att(x))) if False, no additional linear will be applied. i.e. x -> x + att(x) - positionwise_layer_type (str): "linear", "conv1d", or "conv1d-linear". - positionwise_conv_kernel_size (int): Kernel size of positionwise conv1d layer. - macaron_style (bool): Whether to use macaron style for positionwise layer. - pos_enc_layer_type (str): Encoder positional encoding layer type. - selfattention_layer_type (str): Encoder attention layer type. - activation_type (str): Encoder activation function type. - use_cnn_module (bool): Whether to use convolution module. - zero_triu (bool): Whether to zero the upper triangular part of attention matrix. - cnn_module_kernel (int): Kernerl size of convolution module. - padding_idx (int): Padding idx for input_layer=embed. - stochastic_depth_rate (float): Maximum probability to skip the encoder layer. - intermediate_layers (Union[List[int], None]):indices of intermediate CTC layer. indices start from 1. + positionwise_layer_type (str): + "linear", "conv1d", or "conv1d-linear". + positionwise_conv_kernel_size (int): + Kernel size of positionwise conv1d layer. + macaron_style (bool): + Whether to use macaron style for positionwise layer. + pos_enc_layer_type (str): + Encoder positional encoding layer type. + selfattention_layer_type (str): + Encoder attention layer type. + activation_type (str): + Encoder activation function type. + use_cnn_module (bool): + Whether to use convolution module. + zero_triu (bool): + Whether to zero the upper triangular part of attention matrix. + cnn_module_kernel (int): + Kernerl size of convolution module. + padding_idx (int): + Padding idx for input_layer=embed. + stochastic_depth_rate (float): + Maximum probability to skip the encoder layer. + intermediate_layers (Union[List[int], None]): + indices of intermediate CTC layer. indices start from 1. if not None, intermediate outputs are returned (which changes return type signature.) """ @@ -478,11 +555,15 @@ class ConformerEncoder(BaseEncoder): """Encode input sequence. Args: - xs (Tensor): Input tensor (#batch, time, idim). - masks (Tensor): Mask tensor (#batch, 1, time). + xs (Tensor): + Input tensor (#batch, time, idim). + masks (Tensor): + Mask tensor (#batch, 1, time). Returns: - Tensor: Output tensor (#batch, time, attention_dim). - Tensor: Mask tensor (#batch, 1, time). + Tensor: + Output tensor (#batch, time, attention_dim). + Tensor: + Mask tensor (#batch, 1, time). """ if isinstance(self.embed, (Conv2dSubsampling)): xs, masks = self.embed(xs, masks) @@ -539,7 +620,8 @@ class Conv1dResidualBlock(nn.Layer): def forward(self, xs): """Encode input sequence. Args: - xs (Tensor): Input tensor (#batch, idim, T). + xs (Tensor): + Input tensor (#batch, idim, T). Returns: Tensor: Output tensor (#batch, odim, T). """ @@ -582,8 +664,10 @@ class CNNDecoder(nn.Layer): def forward(self, xs, masks=None): """Encode input sequence. Args: - xs (Tensor): Input tensor (#batch, time, idim). - masks (Tensor): Mask tensor (#batch, 1, time). + xs (Tensor): + Input tensor (#batch, time, idim). + masks (Tensor): + Mask tensor (#batch, 1, time). Returns: Tensor: Output tensor (#batch, time, odim). """ @@ -629,8 +713,10 @@ class CNNPostnet(nn.Layer): def forward(self, xs, masks=None): """Encode input sequence. Args: - xs (Tensor): Input tensor (#batch, odim, time). - masks (Tensor): Mask tensor (#batch, 1, time). + xs (Tensor): + Input tensor (#batch, odim, time). + masks (Tensor): + Mask tensor (#batch, 1, time). Returns: Tensor: Output tensor (#batch, odim, time). """ diff --git a/paddlespeech/t2s/modules/transformer/encoder_layer.py b/paddlespeech/t2s/modules/transformer/encoder_layer.py index 72372b69b..63494b0de 100644 --- a/paddlespeech/t2s/modules/transformer/encoder_layer.py +++ b/paddlespeech/t2s/modules/transformer/encoder_layer.py @@ -21,14 +21,20 @@ class EncoderLayer(nn.Layer): """Encoder layer module. Args: - size (int): Input dimension. - self_attn (nn.Layer): Self-attention module instance. + size (int): + Input dimension. + self_attn (nn.Layer): + Self-attention module instance. `MultiHeadedAttention` instance can be used as the argument. - feed_forward (nn.Layer): Feed-forward module instance. + feed_forward (nn.Layer): + Feed-forward module instance. `PositionwiseFeedForward`, `MultiLayeredConv1d`, or `Conv1dLinear` instance can be used as the argument. - dropout_rate (float): Dropout rate. - normalize_before (bool): Whether to use layer_norm before the first block. - concat_after (bool): Whether to concat attention layer's input and output. + dropout_rate (float): + Dropout rate. + normalize_before (bool): + Whether to use layer_norm before the first block. + concat_after (bool): + Whether to concat attention layer's input and output. if True, additional linear will be applied. i.e. x -> x + linear(concat(x, att(x))) if False, no additional linear will be applied. i.e. x -> x + att(x) @@ -59,13 +65,18 @@ class EncoderLayer(nn.Layer): """Compute encoded features. Args: - x(Tensor): Input tensor (#batch, time, size). - mask(Tensor): Mask tensor for the input (#batch, time). - cache(Tensor, optional): Cache tensor of the input (#batch, time - 1, size). + x(Tensor): + Input tensor (#batch, time, size). + mask(Tensor): + Mask tensor for the input (#batch, time). + cache(Tensor, optional): + Cache tensor of the input (#batch, time - 1, size). Returns: - Tensor: Output tensor (#batch, time, size). - Tensor: Mask tensor (#batch, time). + Tensor: + Output tensor (#batch, time, size). + Tensor: + Mask tensor (#batch, time). """ residual = x if self.normalize_before: diff --git a/paddlespeech/t2s/modules/transformer/lightconv.py b/paddlespeech/t2s/modules/transformer/lightconv.py index 9bcc1acfb..22217d50f 100644 --- a/paddlespeech/t2s/modules/transformer/lightconv.py +++ b/paddlespeech/t2s/modules/transformer/lightconv.py @@ -31,12 +31,18 @@ class LightweightConvolution(nn.Layer): https://github.com/pytorch/fairseq/tree/master/fairseq Args: - wshare (int): the number of kernel of convolution - n_feat (int): the number of features - dropout_rate (float): dropout_rate - kernel_size (int): kernel size (length) - use_kernel_mask (bool): Use causal mask or not for convolution kernel - use_bias (bool): Use bias term or not. + wshare (int): + the number of kernel of convolution + n_feat (int): + the number of features + dropout_rate (float): + dropout_rate + kernel_size (int): + kernel size (length) + use_kernel_mask (bool): + Use causal mask or not for convolution kernel + use_bias (bool): + Use bias term or not. """ @@ -94,10 +100,14 @@ class LightweightConvolution(nn.Layer): This is just for compatibility with self-attention layer (attention.py) Args: - query (Tensor): input tensor. (batch, time1, d_model) - key (Tensor): NOT USED. (batch, time2, d_model) - value (Tensor): NOT USED. (batch, time2, d_model) - mask : (Tensor): (batch, time1, time2) mask + query (Tensor): + input tensor. (batch, time1, d_model) + key (Tensor): + NOT USED. (batch, time2, d_model) + value (Tensor): + NOT USED. (batch, time2, d_model) + mask : (Tensor): + (batch, time1, time2) mask Return: Tensor: ouput. (batch, time1, d_model) diff --git a/paddlespeech/t2s/modules/transformer/mask.py b/paddlespeech/t2s/modules/transformer/mask.py index c10e6add2..71dd37975 100644 --- a/paddlespeech/t2s/modules/transformer/mask.py +++ b/paddlespeech/t2s/modules/transformer/mask.py @@ -19,8 +19,10 @@ def subsequent_mask(size, dtype=paddle.bool): """Create mask for subsequent steps (size, size). Args: - size (int): size of mask - dtype (paddle.dtype): result dtype + size (int): + size of mask + dtype (paddle.dtype): + result dtype Return: Tensor: >>> subsequent_mask(3) @@ -36,9 +38,12 @@ def target_mask(ys_in_pad, ignore_id, dtype=paddle.bool): """Create mask for decoder self-attention. Args: - ys_pad (Tensor): batch of padded target sequences (B, Lmax) - ignore_id (int): index of padding - dtype (paddle.dtype): result dtype + ys_pad (Tensor): + batch of padded target sequences (B, Lmax) + ignore_id (int): + index of padding + dtype (paddle.dtype): + result dtype Return: Tensor: (B, Lmax, Lmax) """ diff --git a/paddlespeech/t2s/modules/transformer/multi_layer_conv.py b/paddlespeech/t2s/modules/transformer/multi_layer_conv.py index d3285b65f..91d67ca58 100644 --- a/paddlespeech/t2s/modules/transformer/multi_layer_conv.py +++ b/paddlespeech/t2s/modules/transformer/multi_layer_conv.py @@ -32,10 +32,14 @@ class MultiLayeredConv1d(nn.Layer): """Initialize MultiLayeredConv1d module. Args: - in_chans (int): Number of input channels. - hidden_chans (int): Number of hidden channels. - kernel_size (int): Kernel size of conv1d. - dropout_rate (float): Dropout rate. + in_chans (int): + Number of input channels. + hidden_chans (int): + Number of hidden channels. + kernel_size (int): + Kernel size of conv1d. + dropout_rate (float): + Dropout rate. """ super().__init__() @@ -58,7 +62,8 @@ class MultiLayeredConv1d(nn.Layer): """Calculate forward propagation. Args: - x (Tensor): Batch of input tensors (B, T, in_chans). + x (Tensor): + Batch of input tensors (B, T, in_chans). Returns: Tensor: Batch of output tensors (B, T, in_chans). @@ -79,10 +84,14 @@ class Conv1dLinear(nn.Layer): """Initialize Conv1dLinear module. Args: - in_chans (int): Number of input channels. - hidden_chans (int): Number of hidden channels. - kernel_size (int): Kernel size of conv1d. - dropout_rate (float): Dropout rate. + in_chans (int): + Number of input channels. + hidden_chans (int): + Number of hidden channels. + kernel_size (int): + Kernel size of conv1d. + dropout_rate (float): + Dropout rate. """ super().__init__() self.w_1 = nn.Conv1D( @@ -99,7 +108,8 @@ class Conv1dLinear(nn.Layer): """Calculate forward propagation. Args: - x (Tensor): Batch of input tensors (B, T, in_chans). + x (Tensor): + Batch of input tensors (B, T, in_chans). Returns: Tensor: Batch of output tensors (B, T, in_chans). diff --git a/paddlespeech/t2s/modules/transformer/positionwise_feed_forward.py b/paddlespeech/t2s/modules/transformer/positionwise_feed_forward.py index 92af6851c..45ea279bf 100644 --- a/paddlespeech/t2s/modules/transformer/positionwise_feed_forward.py +++ b/paddlespeech/t2s/modules/transformer/positionwise_feed_forward.py @@ -21,9 +21,12 @@ class PositionwiseFeedForward(nn.Layer): """Positionwise feed forward layer. Args: - idim (int): Input dimenstion. - hidden_units (int): The number of hidden units. - dropout_rate (float): Dropout rate. + idim (int): + Input dimenstion. + hidden_units (int): + The number of hidden units. + dropout_rate (float): + Dropout rate. """ def __init__(self, diff --git a/paddlespeech/t2s/modules/transformer/repeat.py b/paddlespeech/t2s/modules/transformer/repeat.py index 1e946adf7..43d11e9f9 100644 --- a/paddlespeech/t2s/modules/transformer/repeat.py +++ b/paddlespeech/t2s/modules/transformer/repeat.py @@ -30,8 +30,10 @@ def repeat(N, fn): """Repeat module N times. Args: - N (int): Number of repeat time. - fn (Callable): Function to generate module. + N (int): + Number of repeat time. + fn (Callable): + Function to generate module. Returns: MultiSequential: Repeated model instance. diff --git a/paddlespeech/t2s/modules/transformer/subsampling.py b/paddlespeech/t2s/modules/transformer/subsampling.py index 07439705a..a17278c0b 100644 --- a/paddlespeech/t2s/modules/transformer/subsampling.py +++ b/paddlespeech/t2s/modules/transformer/subsampling.py @@ -23,10 +23,14 @@ class Conv2dSubsampling(nn.Layer): """Convolutional 2D subsampling (to 1/4 length). Args: - idim (int): Input dimension. - odim (int): Output dimension. - dropout_rate (float): Dropout rate. - pos_enc (nn.Layer): Custom position encoding layer. + idim (int): + Input dimension. + odim (int): + Output dimension. + dropout_rate (float): + Dropout rate. + pos_enc (nn.Layer): + Custom position encoding layer. """ def __init__(self, idim, odim, dropout_rate, pos_enc=None): @@ -45,11 +49,15 @@ class Conv2dSubsampling(nn.Layer): def forward(self, x, x_mask): """Subsample x. Args: - x (Tensor): Input tensor (#batch, time, idim). - x_mask (Tensor): Input mask (#batch, 1, time). + x (Tensor): + Input tensor (#batch, time, idim). + x_mask (Tensor): + Input mask (#batch, 1, time). Returns: - Tensor: Subsampled tensor (#batch, time', odim), where time' = time // 4. - Tensor: Subsampled mask (#batch, 1, time'), where time' = time // 4. + Tensor: + Subsampled tensor (#batch, time', odim), where time' = time // 4. + Tensor: + Subsampled mask (#batch, 1, time'), where time' = time // 4. """ # (b, c, t, f) x = x.unsqueeze(1) diff --git a/paddlespeech/t2s/modules/upsample.py b/paddlespeech/t2s/modules/upsample.py index 65e78a892..164db65dd 100644 --- a/paddlespeech/t2s/modules/upsample.py +++ b/paddlespeech/t2s/modules/upsample.py @@ -28,9 +28,12 @@ class Stretch2D(nn.Layer): """Strech an image (or image-like object) with some interpolation. Args: - w_scale (int): Scalar of width. - h_scale (int): Scalar of the height. - mode (str, optional): Interpolation mode, modes suppored are "nearest", "bilinear", + w_scale (int): + Scalar of width. + h_scale (int): + Scalar of the height. + mode (str, optional): + Interpolation mode, modes suppored are "nearest", "bilinear", "trilinear", "bicubic", "linear" and "area",by default "nearest" For more details about interpolation, see `paddle.nn.functional.interpolate `_. @@ -44,11 +47,12 @@ class Stretch2D(nn.Layer): """ Args: - x (Tensor): Shape (N, C, H, W) + x (Tensor): + Shape (N, C, H, W) Returns: - Tensor: The stretched image. - Shape (N, C, H', W'), where ``H'=h_scale * H``, ``W'=w_scale * W``. + Tensor: + The stretched image. Shape (N, C, H', W'), where ``H'=h_scale * H``, ``W'=w_scale * W``. """ out = F.interpolate( @@ -61,12 +65,18 @@ class UpsampleNet(nn.Layer): convolutions. Args: - upsample_scales (List[int]): Upsampling factors for each strech. - nonlinear_activation (Optional[str], optional): Activation after each convolution, by default None - nonlinear_activation_params (Dict[str, Any], optional): Parameters passed to construct the activation, by default {} - interpolate_mode (str, optional): Interpolation mode of the strech, by default "nearest" - freq_axis_kernel_size (int, optional): Convolution kernel size along the frequency axis, by default 1 - use_causal_conv (bool, optional): Whether to use causal padding before convolution, by default False + upsample_scales (List[int]): + Upsampling factors for each strech. + nonlinear_activation (Optional[str], optional): + Activation after each convolution, by default None + nonlinear_activation_params (Dict[str, Any], optional): + Parameters passed to construct the activation, by default {} + interpolate_mode (str, optional): + Interpolation mode of the strech, by default "nearest" + freq_axis_kernel_size (int, optional): + Convolution kernel size along the frequency axis, by default 1 + use_causal_conv (bool, optional): + Whether to use causal padding before convolution, by default False If True, Causal padding is used along the time axis, i.e. padding amount is ``receptive field - 1`` and 0 for before and after, respectively. If False, "same" padding is used along the time axis. @@ -106,7 +116,8 @@ class UpsampleNet(nn.Layer): def forward(self, c): """ Args: - c (Tensor): spectrogram. Shape (N, F, T) + c (Tensor): + spectrogram. Shape (N, F, T) Returns: Tensor: upsampled spectrogram. @@ -126,17 +137,25 @@ class ConvInUpsampleNet(nn.Layer): UpsampleNet. Args: - upsample_scales (List[int]): Upsampling factors for each strech. - nonlinear_activation (Optional[str], optional): Activation after each convolution, by default None - nonlinear_activation_params (Dict[str, Any], optional): Parameters passed to construct the activation, by default {} - interpolate_mode (str, optional): Interpolation mode of the strech, by default "nearest" - freq_axis_kernel_size (int, optional): Convolution kernel size along the frequency axis, by default 1 - aux_channels (int, optional): Feature size of the input, by default 80 - aux_context_window (int, optional): Context window of the first 1D convolution applied to the input. It + upsample_scales (List[int]): + Upsampling factors for each strech. + nonlinear_activation (Optional[str], optional): + Activation after each convolution, by default None + nonlinear_activation_params (Dict[str, Any], optional): + Parameters passed to construct the activation, by default {} + interpolate_mode (str, optional): + Interpolation mode of the strech, by default "nearest" + freq_axis_kernel_size (int, optional): + Convolution kernel size along the frequency axis, by default 1 + aux_channels (int, optional): + Feature size of the input, by default 80 + aux_context_window (int, optional): + Context window of the first 1D convolution applied to the input. It related to the kernel size of the convolution, by default 0 If use causal convolution, the kernel size is ``window + 1``, else the kernel size is ``2 * window + 1``. - use_causal_conv (bool, optional): Whether to use causal padding before convolution, by default False + use_causal_conv (bool, optional): + Whether to use causal padding before convolution, by default False If True, Causal padding is used along the time axis, i.e. padding amount is ``receptive field - 1`` and 0 for before and after, respectively. If False, "same" padding is used along the time axis. @@ -171,7 +190,8 @@ class ConvInUpsampleNet(nn.Layer): def forward(self, c): """ Args: - c (Tensor): spectrogram. Shape (N, F, T) + c (Tensor): + spectrogram. Shape (N, F, T) Returns: Tensors: upsampled spectrogram. Shape (N, F, T'), where ``T' = upsample_factor * T``, diff --git a/paddlespeech/t2s/training/experiment.py b/paddlespeech/t2s/training/experiment.py index 05a363ff2..1eba826df 100644 --- a/paddlespeech/t2s/training/experiment.py +++ b/paddlespeech/t2s/training/experiment.py @@ -58,8 +58,10 @@ class ExperimentBase(object): need. Args: - config (yacs.config.CfgNode): The configuration used for the experiment. - args (argparse.Namespace): The parsed command line arguments. + config (yacs.config.CfgNode): + The configuration used for the experiment. + args (argparse.Namespace): + The parsed command line arguments. Examples: >>> def main_sp(config, args): diff --git a/paddlespeech/t2s/utils/checkpoint.py b/paddlespeech/t2s/utils/checkpoint.py index 1e222c50c..a3a19c0a0 100644 --- a/paddlespeech/t2s/utils/checkpoint.py +++ b/paddlespeech/t2s/utils/checkpoint.py @@ -25,7 +25,8 @@ def _load_latest_checkpoint(checkpoint_dir: str) -> int: """Get the iteration number corresponding to the latest saved checkpoint. Args: - checkpoint_dir (str): the directory where checkpoint is saved. + checkpoint_dir (str): + the directory where checkpoint is saved. Returns: int: the latest iteration number. @@ -46,8 +47,10 @@ def _save_checkpoint(checkpoint_dir: str, iteration: int): """Save the iteration number of the latest model to be checkpointed. Args: - checkpoint_dir (str): the directory where checkpoint is saved. - iteration (int): the latest iteration number. + checkpoint_dir (str): + the directory where checkpoint is saved. + iteration (int): + the latest iteration number. Returns: None @@ -65,11 +68,14 @@ def load_parameters(model, """Load a specific model checkpoint from disk. Args: - model (Layer): model to load parameters. - optimizer (Optimizer, optional): optimizer to load states if needed. - Defaults to None. - checkpoint_dir (str, optional): the directory where checkpoint is saved. - checkpoint_path (str, optional): if specified, load the checkpoint + model (Layer): + model to load parameters. + optimizer (Optimizer, optional): + optimizer to load states if needed. Defaults to None. + checkpoint_dir (str, optional): + the directory where checkpoint is saved. + checkpoint_path (str, optional): + if specified, load the checkpoint stored in the checkpoint_path and the argument 'checkpoint_dir' will be ignored. Defaults to None. @@ -113,11 +119,14 @@ def save_parameters(checkpoint_dir, iteration, model, optimizer=None): """Checkpoint the latest trained model parameters. Args: - checkpoint_dir (str): the directory where checkpoint is saved. - iteration (int): the latest iteration number. - model (Layer): model to be checkpointed. - optimizer (Optimizer, optional): optimizer to be checkpointed. - Defaults to None. + checkpoint_dir (str): + the directory where checkpoint is saved. + iteration (int): + the latest iteration number. + model (Layer): + model to be checkpointed. + optimizer (Optimizer, optional): + optimizer to be checkpointed. Defaults to None. Returns: None diff --git a/paddlespeech/t2s/utils/error_rate.py b/paddlespeech/t2s/utils/error_rate.py index 41b13b75f..76a4f45be 100644 --- a/paddlespeech/t2s/utils/error_rate.py +++ b/paddlespeech/t2s/utils/error_rate.py @@ -71,10 +71,14 @@ def word_errors(reference, hypothesis, ignore_case=False, delimiter=' '): hypothesis sequence in word-level. Args: - reference (str): The reference sentence. - hypothesis (str): The hypothesis sentence. - ignore_case (bool): Whether case-sensitive or not. - delimiter (char(str)): Delimiter of input sentences. + reference (str): + The reference sentence. + hypothesis (str): + The hypothesis sentence. + ignore_case (bool): + Whether case-sensitive or not. + delimiter (char(str)): + Delimiter of input sentences. Returns: list: Levenshtein distance and word number of reference sentence. diff --git a/paddlespeech/t2s/utils/h5_utils.py b/paddlespeech/t2s/utils/h5_utils.py index 75c2e4488..7558e046a 100644 --- a/paddlespeech/t2s/utils/h5_utils.py +++ b/paddlespeech/t2s/utils/h5_utils.py @@ -24,8 +24,10 @@ import numpy as np def read_hdf5(filename: Union[Path, str], dataset_name: str) -> Any: """Read a dataset from a HDF5 file. Args: - filename (Union[Path, str]): Path of the HDF5 file. - dataset_name (str): Name of the dataset to read. + filename (Union[Path, str]): + Path of the HDF5 file. + dataset_name (str): + Name of the dataset to read. Returns: Any: The retrieved dataset. diff --git a/paddlespeech/t2s/utils/internals.py b/paddlespeech/t2s/utils/internals.py index 6c10bd2d5..830e8a80f 100644 --- a/paddlespeech/t2s/utils/internals.py +++ b/paddlespeech/t2s/utils/internals.py @@ -22,7 +22,8 @@ def convert_dtype_to_np_dtype_(dtype): Convert paddle's data type to corrsponding numpy data type. Args: - dtype(np.dtype): the data type in paddle. + dtype(np.dtype): + the data type in paddle. Returns: type: the data type in numpy. From 9e63b5947edc2b29b2171b5ee70322bec19f9980 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Tue, 5 Jul 2022 08:40:52 +0000 Subject: [PATCH 067/192] update requirements --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index d00b469be..b46c24e85 100644 --- a/setup.py +++ b/setup.py @@ -76,7 +76,7 @@ server = [ "fastapi", "uvicorn", "pattern_singleton", - "websockets", + "websockets" ] requirements = { From a9a3cb4860b14b13b244ea7e7fdf013084d34fbc Mon Sep 17 00:00:00 2001 From: Hui Zhang Date: Tue, 5 Jul 2022 09:04:01 +0000 Subject: [PATCH 068/192] remove fluid tools for onnx export,test=doc --- .../ds2_ol/onnx/local/pd_infer_shape.py | 111 ------------ .../ds2_ol/onnx/local/pd_prune_model.py | 158 ------------------ speechx/examples/ds2_ol/onnx/local/prune.sh | 23 --- speechx/examples/ds2_ol/onnx/run.sh | 37 +--- 4 files changed, 3 insertions(+), 326 deletions(-) delete mode 100755 speechx/examples/ds2_ol/onnx/local/pd_infer_shape.py delete mode 100755 speechx/examples/ds2_ol/onnx/local/pd_prune_model.py delete mode 100755 speechx/examples/ds2_ol/onnx/local/prune.sh diff --git a/speechx/examples/ds2_ol/onnx/local/pd_infer_shape.py b/speechx/examples/ds2_ol/onnx/local/pd_infer_shape.py deleted file mode 100755 index c6e693c6b..000000000 --- a/speechx/examples/ds2_ol/onnx/local/pd_infer_shape.py +++ /dev/null @@ -1,111 +0,0 @@ -#!/usr/bin/env python3 -W ignore::DeprecationWarning -# https://github.com/jiangjiajun/PaddleUtils/blob/main/paddle/README.md#2-%E4%BF%AE%E6%94%B9paddle%E6%A8%A1%E5%9E%8B%E8%BE%93%E5%85%A5shape -import argparse - -# paddle inference shape - - -def process_old_ops_desc(program): - """set matmul op head_number attr to 1 is not exist. - - Args: - program (_type_): _description_ - """ - for i in range(len(program.blocks[0].ops)): - if program.blocks[0].ops[i].type == "matmul": - if not program.blocks[0].ops[i].has_attr("head_number"): - program.blocks[0].ops[i]._set_attr("head_number", 1) - - -def infer_shape(program, input_shape_dict): - # 2002002 - model_version = program.desc._version() - # 2.2.2 - paddle_version = paddle.__version__ - major_ver = model_version // 1000000 - minor_ver = (model_version - major_ver * 1000000) // 1000 - patch_ver = model_version - major_ver * 1000000 - minor_ver * 1000 - model_version = "{}.{}.{}".format(major_ver, minor_ver, patch_ver) - if model_version != paddle_version: - print( - f"[WARNING] The model is saved by paddlepaddle v{model_version}, but now your paddlepaddle is version of {paddle_version}, this difference may cause error, it is recommend you reinstall a same version of paddlepaddle for this model" - ) - - OP_WITHOUT_KERNEL_SET = { - 'feed', 'fetch', 'recurrent', 'go', 'rnn_memory_helper_grad', - 'conditional_block', 'while', 'send', 'recv', 'listen_and_serv', - 'fl_listen_and_serv', 'ncclInit', 'select', 'checkpoint_notify', - 'gen_bkcl_id', 'c_gen_bkcl_id', 'gen_nccl_id', 'c_gen_nccl_id', - 'c_comm_init', 'c_sync_calc_stream', 'c_sync_comm_stream', - 'queue_generator', 'dequeue', 'enqueue', 'heter_listen_and_serv', - 'c_wait_comm', 'c_wait_compute', 'c_gen_hccl_id', 'c_comm_init_hccl', - 'copy_cross_scope' - } - - for k, v in input_shape_dict.items(): - program.blocks[0].var(k).desc.set_shape(v) - - for i in range(len(program.blocks)): - for j in range(len(program.blocks[0].ops)): - # for ops - if program.blocks[i].ops[j].type in OP_WITHOUT_KERNEL_SET: - print(f"not infer: {program.blocks[i].ops[j].type} op") - continue - print(f"infer: {program.blocks[i].ops[j].type} op") - program.blocks[i].ops[j].desc.infer_shape(program.blocks[i].desc) - - -def parse_arguments(): - # python pd_infer_shape.py --model_dir data/exp/deepspeech2_online/checkpoints \ - # --model_filename avg_1.jit.pdmodel\ - # --params_filename avg_1.jit.pdiparams \ - # --save_dir . \ - # --input_shape_dict="{'audio_chunk':[1,-1,161], 'audio_chunk_lens':[1], 'chunk_state_c_box':[5, 1, 1024], 'chunk_state_h_box':[5,1,1024]}" - parser = argparse.ArgumentParser() - parser.add_argument( - '--model_dir', - required=True, - help='Path of directory saved the input model.') - parser.add_argument( - '--model_filename', required=True, help='model.pdmodel.') - parser.add_argument( - '--params_filename', required=True, help='model.pdiparams.') - parser.add_argument( - '--save_dir', - required=True, - help='directory to save the exported model.') - parser.add_argument( - '--input_shape_dict', required=True, help="The new shape information.") - return parser.parse_args() - - -if __name__ == '__main__': - args = parse_arguments() - - import paddle - paddle.enable_static() - import paddle.fluid as fluid - - input_shape_dict_str = args.input_shape_dict - input_shape_dict = eval(input_shape_dict_str) - - print("Start to load paddle model...") - exe = fluid.Executor(fluid.CPUPlace()) - - prog, ipts, outs = fluid.io.load_inference_model( - args.model_dir, - exe, - model_filename=args.model_filename, - params_filename=args.params_filename) - - process_old_ops_desc(prog) - infer_shape(prog, input_shape_dict) - - fluid.io.save_inference_model( - args.save_dir, - ipts, - outs, - exe, - prog, - model_filename=args.model_filename, - params_filename=args.params_filename) diff --git a/speechx/examples/ds2_ol/onnx/local/pd_prune_model.py b/speechx/examples/ds2_ol/onnx/local/pd_prune_model.py deleted file mode 100755 index 5386a971a..000000000 --- a/speechx/examples/ds2_ol/onnx/local/pd_prune_model.py +++ /dev/null @@ -1,158 +0,0 @@ -#!/usr/bin/env python3 -W ignore::DeprecationWarning -# https://github.com/jiangjiajun/PaddleUtils/blob/main/paddle/README.md#1-%E8%A3%81%E5%89%AApaddle%E6%A8%A1%E5%9E%8B -import argparse -import sys -from typing import List - -# paddle prune model. - - -def prepend_feed_ops(program, - feed_target_names: List[str], - feed_holder_name='feed'): - import paddle.fluid.core as core - if len(feed_target_names) == 0: - return - - global_block = program.global_block() - feed_var = global_block.create_var( - name=feed_holder_name, - type=core.VarDesc.VarType.FEED_MINIBATCH, - persistable=True, ) - - for i, name in enumerate(feed_target_names, 0): - if not global_block.has_var(name): - print( - f"The input[{i}]: '{name}' doesn't exist in pruned inference program, which will be ignored in new saved model." - ) - continue - - out = global_block.var(name) - global_block._prepend_op( - type='feed', - inputs={'X': [feed_var]}, - outputs={'Out': [out]}, - attrs={'col': i}, ) - - -def append_fetch_ops(program, - fetch_target_names: List[str], - fetch_holder_name='fetch'): - """in the place, we will add the fetch op - - Args: - program (_type_): inference program - fetch_target_names (List[str]): target names - fetch_holder_name (str, optional): fetch op name. Defaults to 'fetch'. - """ - import paddle.fluid.core as core - global_block = program.global_block() - fetch_var = global_block.create_var( - name=fetch_holder_name, - type=core.VarDesc.VarType.FETCH_LIST, - persistable=True, ) - - print(f"the len of fetch_target_names: {len(fetch_target_names)}") - - for i, name in enumerate(fetch_target_names): - global_block.append_op( - type='fetch', - inputs={'X': [name]}, - outputs={'Out': [fetch_var]}, - attrs={'col': i}, ) - - -def insert_fetch(program, - fetch_target_names: List[str], - fetch_holder_name='fetch'): - """in the place, we will add the fetch op - - Args: - program (_type_): inference program - fetch_target_names (List[str]): target names - fetch_holder_name (str, optional): fetch op name. Defaults to 'fetch'. - """ - global_block = program.global_block() - - # remove fetch - need_to_remove_op_index = [] - for i, op in enumerate(global_block.ops): - if op.type == 'fetch': - need_to_remove_op_index.append(i) - - for index in reversed(need_to_remove_op_index): - global_block._remove_op(index) - - program.desc.flush() - - # append new fetch - append_fetch_ops(program, fetch_target_names, fetch_holder_name) - - -def parse_arguments(): - parser = argparse.ArgumentParser() - parser.add_argument( - '--model_dir', - required=True, - help='Path of directory saved the input model.') - parser.add_argument( - '--model_filename', required=True, help='model.pdmodel.') - parser.add_argument( - '--params_filename', required=True, help='model.pdiparams.') - parser.add_argument( - '--output_names', - required=True, - help='The outputs of model. sep by comma') - parser.add_argument( - '--save_dir', - required=True, - help='directory to save the exported model.') - parser.add_argument('--debug', default=False, help='output debug info.') - return parser.parse_args() - - -if __name__ == '__main__': - args = parse_arguments() - - args.output_names = args.output_names.split(",") - - if len(set(args.output_names)) < len(args.output_names): - print( - f"[ERROR] There's dumplicate name in --output_names {args.output_names}, which is not allowed." - ) - sys.exit(-1) - - import paddle - paddle.enable_static() - # hack prepend_feed_ops - paddle.fluid.io.prepend_feed_ops = prepend_feed_ops - - import paddle.fluid as fluid - - print("start to load paddle model") - exe = fluid.Executor(fluid.CPUPlace()) - prog, ipts, outs = fluid.io.load_inference_model( - args.model_dir, - exe, - model_filename=args.model_filename, - params_filename=args.params_filename) - - print("start to load insert fetch op") - new_outputs = [] - insert_fetch(prog, args.output_names) - for out_name in args.output_names: - new_outputs.append(prog.global_block().var(out_name)) - - # not equal to paddle.static.save_inference_model - fluid.io.save_inference_model( - args.save_dir, - ipts, - new_outputs, - exe, - prog, - model_filename=args.model_filename, - params_filename=args.params_filename) - - if args.debug: - for op in prog.global_block().ops: - print(op) diff --git a/speechx/examples/ds2_ol/onnx/local/prune.sh b/speechx/examples/ds2_ol/onnx/local/prune.sh deleted file mode 100755 index 64636bccf..000000000 --- a/speechx/examples/ds2_ol/onnx/local/prune.sh +++ /dev/null @@ -1,23 +0,0 @@ -#!/bin/bash - -set -e - -if [ $# != 5 ]; then - # local/prune.sh data/exp/deepspeech2_online/checkpoints avg_1.jit.pdmodel avg_1.jit.pdiparams softmax_0.tmp_0,tmp_5,concat_0.tmp_0,concat_1.tmp_0 $PWD - echo "usage: $0 model_dir model_filename param_filename outputs_names save_dir" - exit 1 -fi - -dir=$1 -model=$2 -param=$3 -outputs=$4 -save_dir=$5 - - -python local/pd_prune_model.py \ - --model_dir $dir \ - --model_filename $model \ - --params_filename $param \ - --output_names $outputs \ - --save_dir $save_dir \ No newline at end of file diff --git a/speechx/examples/ds2_ol/onnx/run.sh b/speechx/examples/ds2_ol/onnx/run.sh index b4df9d94f..3dc5e9100 100755 --- a/speechx/examples/ds2_ol/onnx/run.sh +++ b/speechx/examples/ds2_ol/onnx/run.sh @@ -39,41 +39,10 @@ if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ];then popd fi -output_names=softmax_0.tmp_0,tmp_5,concat_0.tmp_0,concat_1.tmp_0 -if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ];then - # prune model by outputs - mkdir -p $exp/prune - - # prune model deps on output_names. - ./local/prune.sh $dir $model $param $output_names $exp/prune -fi - -# aishell rnn hidden is 1024 -# wenetspeech rnn hiddn is 2048 -if [ $model_type == 'aishell' ];then - input_shape_dict="{'audio_chunk':[1,-1,161], 'audio_chunk_lens':[1], 'chunk_state_c_box':[5, 1, 1024], 'chunk_state_h_box':[5,1,1024]}" -elif [ $model_type == 'wenetspeech' ];then - input_shape_dict="{'audio_chunk':[1,-1,161], 'audio_chunk_lens':[1], 'chunk_state_c_box':[5, 1, 2048], 'chunk_state_h_box':[5,1,2048]}" -else - echo "not support: $model_type" - exit -1 -fi -if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ];then - # infer shape by new shape - mkdir -p $exp/shape - echo $input_shape_dict - python3 local/pd_infer_shape.py \ - --model_dir $dir \ - --model_filename $model \ - --params_filename $param \ - --save_dir $exp/shape \ - --input_shape_dict="${input_shape_dict}" -fi - input_file=$exp/static_ds2online_inputs.pickle test -e $input_file -if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ];then +if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ];then # to onnx ./local/tonnx.sh $dir $model $param $exp/model.onnx @@ -81,7 +50,7 @@ if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ];then fi -if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ] ;then +if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ] ;then # ort graph optmize ./local/ort_opt.py --model_in $exp/model.onnx --opt_level 0 --model_out $exp/model.ort.opt.onnx @@ -89,7 +58,7 @@ if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ] ;then fi -if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ];then +if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ];then # convert opset_num to 11 ./local/onnx_convert_opset.py --target-opset 11 --model-file $exp/model.ort.opt.onnx --save-model $exp/model.optset11.onnx From 92d1d08b9a9c8fbe96457024d60b60240fa3bc79 Mon Sep 17 00:00:00 2001 From: huangyuxin Date: Tue, 5 Jul 2022 09:23:01 +0000 Subject: [PATCH 069/192] fix scripts --- examples/wenetspeech/asr1/conf/conformer.yaml | 20 +- examples/wenetspeech/asr1/local/data.sh | 4 +- paddlespeech/audio/streamdata/__init__.py | 17 +- paddlespeech/audio/streamdata/autodecode.py | 8 +- paddlespeech/audio/streamdata/compat.py | 24 +- paddlespeech/audio/streamdata/filters.py | 28 +- paddlespeech/audio/streamdata/tariterators.py | 6 +- paddlespeech/audio/text/text_featurizer.py | 235 +++++++++++ paddlespeech/audio/text/utility.py | 393 ++++++++++++++++++ paddlespeech/s2t/exps/deepspeech2/model.py | 2 +- paddlespeech/s2t/exps/u2/model.py | 185 +-------- paddlespeech/s2t/exps/u2_kaldi/model.py | 116 ++---- paddlespeech/s2t/exps/u2_st/model.py | 93 +---- paddlespeech/s2t/io/dataloader.py | 177 +++++++- paddlespeech/s2t/models/u2/u2.py | 6 +- paddlespeech/s2t/models/u2_st/u2_st.py | 4 +- 16 files changed, 901 insertions(+), 417 deletions(-) create mode 100644 paddlespeech/audio/text/text_featurizer.py create mode 100644 paddlespeech/audio/text/utility.py diff --git a/examples/wenetspeech/asr1/conf/conformer.yaml b/examples/wenetspeech/asr1/conf/conformer.yaml index 013c3e0c4..d1ac20b9b 100644 --- a/examples/wenetspeech/asr1/conf/conformer.yaml +++ b/examples/wenetspeech/asr1/conf/conformer.yaml @@ -52,6 +52,7 @@ test_manifest: data/test_meeting/data.list use_stream_data: True unit_type: 'char' vocab_filepath: data/lang_char/vocab.txt +preprocess_config: conf/preprocess.yaml cmvn_file: data/mean_std.json spm_model_prefix: '' feat_dim: 80 @@ -65,30 +66,17 @@ maxlen_in: 1200 # if input length(number of frames) > maxlen-in, data is automa minlen_out: 0 maxlen_out: 150 # if output length(number of tokens) > maxlen-out, data is automatically removed resample_rate: 16000 -shuffle_size: 1500 -sort_size: 1000 +shuffle_size: 1500 # read number of 'shuffle_size' data as a chunk, shuffle the data in the chunk +sort_size: 1000 # read number of 'sort_size' data as a chunk, sort the data in the chunk num_workers: 8 prefetch_factor: 10 dist_sampler: True num_encs: 1 -augment_conf: - max_w: 80 - w_inplace: True - w_mode: "PIL" - max_f: 30 - num_f_mask: 2 - f_inplace: True - f_replace_with_zero: False - max_t: 40 - num_t_mask: 2 - t_inplace: True - t_replace_with_zero: False - ########################################### # Training # ########################################### -n_epoch: 30 +n_epoch: 32 accum_grad: 32 global_grad_clip: 5.0 log_interval: 100 diff --git a/examples/wenetspeech/asr1/local/data.sh b/examples/wenetspeech/asr1/local/data.sh index b3472a8f9..62579ba32 100755 --- a/examples/wenetspeech/asr1/local/data.sh +++ b/examples/wenetspeech/asr1/local/data.sh @@ -90,8 +90,8 @@ if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then for x in $dev_set $test_sets ${train_set}; do dst=$shards_dir/$x mkdir -p $dst - utils/make_filted_shard_list.py --resample 16000 --num_utts_per_shard 1000 \ - --do_filter --num_node 1 --num_gpus_per_node 8 \ + utils/make_filted_shard_list.py --num_node 1 --num_gpus_per_node 8 --num_utts_per_shard 1000 \ + --do_filter --resample 16000 \ --num_threads 32 --segments data/$x/segments \ data/$x/wav.scp data/$x/text \ $(realpath $dst) data/$x/data.list diff --git a/paddlespeech/audio/streamdata/__init__.py b/paddlespeech/audio/streamdata/__init__.py index 1acd898ae..753fcc11b 100644 --- a/paddlespeech/audio/streamdata/__init__.py +++ b/paddlespeech/audio/streamdata/__init__.py @@ -1,4 +1,5 @@ # Copyright (c) 2017-2019 NVIDIA CORPORATION. All rights reserved. +# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. # See the LICENSE file for licensing terms (BSD-style). # Modified from https://github.com/webdataset/webdataset # @@ -26,7 +27,7 @@ from .filters import ( pipelinefilter, rename, rename_keys, - rsample, + audio_resample, select, shuffle, slice, @@ -34,14 +35,14 @@ from .filters import ( transform_with, unbatched, xdecode, - data_filter, - tokenize, - resample, - compute_fbank, - spec_aug, + audio_data_filter, + audio_tokenize, + audio_resample, + audio_compute_fbank, + audio_spec_aug, sort, - padding, - cmvn, + audio_padding, + audio_cmvn, placeholder, ) from .handlers import ( diff --git a/paddlespeech/audio/streamdata/autodecode.py b/paddlespeech/audio/streamdata/autodecode.py index 8c74b6851..ca0e2ea2f 100644 --- a/paddlespeech/audio/streamdata/autodecode.py +++ b/paddlespeech/audio/streamdata/autodecode.py @@ -291,12 +291,12 @@ def torch_video(key, data): ################################################################ -# paddleaudio +# paddlespeech.audio ################################################################ def paddle_audio(key, data): - """Decode audio using the paddleaudio library. + """Decode audio using the paddlespeech.audio library. :param key: file name extension :param data: data to be decoded @@ -305,13 +305,13 @@ def paddle_audio(key, data): if extension not in ["flac", "mp3", "sox", "wav", "m4a", "ogg", "wma"]: return None - import paddleaudio + import paddlespeech.audio with tempfile.TemporaryDirectory() as dirname: fname = os.path.join(dirname, f"file.{extension}") with open(fname, "wb") as stream: stream.write(data) - return paddleaudio.load(fname) + return paddlespeech.audio.load(fname) ################################################################ diff --git a/paddlespeech/audio/streamdata/compat.py b/paddlespeech/audio/streamdata/compat.py index 11308d033..deda53384 100644 --- a/paddlespeech/audio/streamdata/compat.py +++ b/paddlespeech/audio/streamdata/compat.py @@ -78,29 +78,29 @@ class FluidInterface: def xdecode(self, *args, **kw): return self.compose(filters.xdecode(*args, **kw)) - def data_filter(self, *args, **kw): - return self.compose(filters.data_filter(*args, **kw)) + def audio_data_filter(self, *args, **kw): + return self.compose(filters.audio_data_filter(*args, **kw)) - def tokenize(self, *args, **kw): - return self.compose(filters.tokenize(*args, **kw)) + def audio_tokenize(self, *args, **kw): + return self.compose(filters.audio_tokenize(*args, **kw)) def resample(self, *args, **kw): return self.compose(filters.resample(*args, **kw)) - def compute_fbank(self, *args, **kw): - return self.compose(filters.compute_fbank(*args, **kw)) + def audio_compute_fbank(self, *args, **kw): + return self.compose(filters.audio_compute_fbank(*args, **kw)) - def spec_aug(self, *args, **kw): - return self.compose(filters.spec_aug(*args, **kw)) + def audio_spec_aug(self, *args, **kw): + return self.compose(filters.audio_spec_aug(*args, **kw)) def sort(self, size=500): return self.compose(filters.sort(size)) - def padding(self): - return self.compose(filters.padding()) + def audio_padding(self): + return self.compose(filters.audio_padding()) - def cmvn(self, cmvn_file): - return self.compose(filters.cmvn(cmvn_file)) + def audio_cmvn(self, cmvn_file): + return self.compose(filters.audio_cmvn(cmvn_file)) class WebDataset(DataPipeline, FluidInterface): """Small fluid-interface wrapper for DataPipeline.""" diff --git a/paddlespeech/audio/streamdata/filters.py b/paddlespeech/audio/streamdata/filters.py index 0ade66f90..82b9c6bab 100644 --- a/paddlespeech/audio/streamdata/filters.py +++ b/paddlespeech/audio/streamdata/filters.py @@ -579,7 +579,7 @@ xdecode = pipelinefilter(_xdecode) -def _data_filter(source, +def _audio_data_filter(source, frame_shift=10, max_length=10240, min_length=10, @@ -629,9 +629,9 @@ def _data_filter(source, continue yield sample -data_filter = pipelinefilter(_data_filter) +audio_data_filter = pipelinefilter(_audio_data_filter) -def _tokenize(source, +def _audio_tokenize(source, symbol_table, bpe_model=None, non_lang_syms=None, @@ -693,9 +693,9 @@ def _tokenize(source, sample['label'] = label yield sample -tokenize = pipelinefilter(_tokenize) +audio_tokenize = pipelinefilter(_audio_tokenize) -def _resample(source, resample_rate=16000): +def _audio_resample(source, resample_rate=16000): """ Resample data. Inplace operation. @@ -718,9 +718,9 @@ def _resample(source, resample_rate=16000): )) yield sample -resample = pipelinefilter(_resample) +audio_resample = pipelinefilter(_audio_resample) -def _compute_fbank(source, +def _audio_compute_fbank(source, num_mel_bins=80, frame_length=25, frame_shift=10, @@ -756,9 +756,9 @@ def _compute_fbank(source, yield dict(fname=sample['fname'], label=sample['label'], feat=mat) -compute_fbank = pipelinefilter(_compute_fbank) +audio_compute_fbank = pipelinefilter(_audio_compute_fbank) -def _spec_aug(source, +def _audio_spec_aug(source, max_w=5, w_inplace=True, w_mode="PIL", @@ -799,7 +799,7 @@ def _spec_aug(source, sample['feat'] = paddle.to_tensor(x, dtype=paddle.float32) yield sample -spec_aug = pipelinefilter(_spec_aug) +audio_spec_aug = pipelinefilter(_audio_spec_aug) def _sort(source, sort_size=500): @@ -881,7 +881,7 @@ def dynamic_batched(source, max_frames_in_batch=12000): yield buf -def _padding(source): +def _audio_padding(source): """ Padding the data into training data Args: @@ -914,9 +914,9 @@ def _padding(source): yield (sorted_keys, padded_feats, feats_lengths, padding_labels, label_lengths) -padding = pipelinefilter(_padding) +audio_padding = pipelinefilter(_audio_padding) -def _cmvn(source, cmvn_file): +def _audio_cmvn(source, cmvn_file): global_cmvn = GlobalCMVN(cmvn_file) for batch in source: sorted_keys, padded_feats, feats_lengths, padding_labels, label_lengths = batch @@ -926,7 +926,7 @@ def _cmvn(source, cmvn_file): yield (sorted_keys, padded_feats, feats_lengths, padding_labels, label_lengths) -cmvn = pipelinefilter(_cmvn) +audio_cmvn = pipelinefilter(_audio_cmvn) def _placeholder(source): for data in source: diff --git a/paddlespeech/audio/streamdata/tariterators.py b/paddlespeech/audio/streamdata/tariterators.py index 2c1daae1f..b1616918c 100644 --- a/paddlespeech/audio/streamdata/tariterators.py +++ b/paddlespeech/audio/streamdata/tariterators.py @@ -21,7 +21,7 @@ trace = False meta_prefix = "__" meta_suffix = "__" -from ... import audio as paddleaudio +import paddlespeech import paddle import numpy as np @@ -118,7 +118,7 @@ def tar_file_iterator( assert pos > 0 prefix, postfix = name[:pos], name[pos + 1:] if postfix == 'wav': - waveform, sample_rate = paddleaudio.load(stream.extractfile(tarinfo), normal=False) + waveform, sample_rate = paddlespeech.audio.load(stream.extractfile(tarinfo), normal=False) result = dict(fname=prefix, wav=waveform, sample_rate = sample_rate) else: txt = stream.extractfile(tarinfo).read().decode('utf8').strip() @@ -167,7 +167,7 @@ def tar_file_and_group_iterator( if postfix == 'txt': example['txt'] = file_obj.read().decode('utf8').strip() elif postfix in AUDIO_FORMAT_SETS: - waveform, sample_rate = paddleaudio.load(file_obj, normal=False) + waveform, sample_rate = paddlespeech.audio.load(file_obj, normal=False) waveform = paddle.to_tensor(np.expand_dims(np.array(waveform),0), dtype=paddle.float32) example['wav'] = waveform diff --git a/paddlespeech/audio/text/text_featurizer.py b/paddlespeech/audio/text/text_featurizer.py new file mode 100644 index 000000000..91c4d75c3 --- /dev/null +++ b/paddlespeech/audio/text/text_featurizer.py @@ -0,0 +1,235 @@ +# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains the text featurizer class.""" +from pprint import pformat +from typing import Union + +import sentencepiece as spm + +from .utility import BLANK +from .utility import EOS +from .utility import load_dict +from .utility import MASKCTC +from .utility import SOS +from .utility import SPACE +from .utility import UNK +from ..utils.log import Logger + +logger = Logger(__name__) + +__all__ = ["TextFeaturizer"] + + +class TextFeaturizer(): + def __init__(self, unit_type, vocab, spm_model_prefix=None, maskctc=False): + """Text featurizer, for processing or extracting features from text. + + Currently, it supports char/word/sentence-piece level tokenizing and conversion into + a list of token indices. Note that the token indexing order follows the + given vocabulary file. + + Args: + unit_type (str): unit type, e.g. char, word, spm + vocab Option[str, list]: Filepath to load vocabulary for token indices conversion, or vocab list. + spm_model_prefix (str, optional): spm model prefix. Defaults to None. + """ + assert unit_type in ('char', 'spm', 'word') + self.unit_type = unit_type + self.unk = UNK + self.maskctc = maskctc + + if vocab: + self.vocab_dict, self._id2token, self.vocab_list, self.unk_id, self.eos_id, self.blank_id = self._load_vocabulary_from_file( + vocab, maskctc) + self.vocab_size = len(self.vocab_list) + else: + logger.warning("TextFeaturizer: not have vocab file or vocab list.") + + if unit_type == 'spm': + spm_model = spm_model_prefix + '.model' + self.sp = spm.SentencePieceProcessor() + self.sp.Load(spm_model) + + def tokenize(self, text, replace_space=True): + if self.unit_type == 'char': + tokens = self.char_tokenize(text, replace_space) + elif self.unit_type == 'word': + tokens = self.word_tokenize(text) + else: # spm + tokens = self.spm_tokenize(text) + return tokens + + def detokenize(self, tokens): + if self.unit_type == 'char': + text = self.char_detokenize(tokens) + elif self.unit_type == 'word': + text = self.word_detokenize(tokens) + else: # spm + text = self.spm_detokenize(tokens) + return text + + def featurize(self, text): + """Convert text string to a list of token indices. + + Args: + text (str): Text to process. + + Returns: + List[int]: List of token indices. + """ + tokens = self.tokenize(text) + ids = [] + for token in tokens: + if token not in self.vocab_dict: + logger.debug(f"Text Token: {token} -> {self.unk}") + token = self.unk + ids.append(self.vocab_dict[token]) + return ids + + def defeaturize(self, idxs): + """Convert a list of token indices to text string, + ignore index after eos_id. + + Args: + idxs (List[int]): List of token indices. + + Returns: + str: Text. + """ + tokens = [] + for idx in idxs: + if idx == self.eos_id: + break + tokens.append(self._id2token[idx]) + text = self.detokenize(tokens) + return text + + def char_tokenize(self, text, replace_space=True): + """Character tokenizer. + + Args: + text (str): text string. + replace_space (bool): False only used by build_vocab.py. + + Returns: + List[str]: tokens. + """ + text = text.strip() + if replace_space: + text_list = [SPACE if item == " " else item for item in list(text)] + else: + text_list = list(text) + return text_list + + def char_detokenize(self, tokens): + """Character detokenizer. + + Args: + tokens (List[str]): tokens. + + Returns: + str: text string. + """ + tokens = [t.replace(SPACE, " ") for t in tokens] + return "".join(tokens) + + def word_tokenize(self, text): + """Word tokenizer, separate by .""" + return text.strip().split() + + def word_detokenize(self, tokens): + """Word detokenizer, separate by .""" + return " ".join(tokens) + + def spm_tokenize(self, text): + """spm tokenize. + + Args: + text (str): text string. + + Returns: + List[str]: sentence pieces str code + """ + stats = {"num_empty": 0, "num_filtered": 0} + + def valid(line): + return True + + def encode(l): + return self.sp.EncodeAsPieces(l) + + def encode_line(line): + line = line.strip() + if len(line) > 0: + line = encode(line) + if valid(line): + return line + else: + stats["num_filtered"] += 1 + else: + stats["num_empty"] += 1 + return None + + enc_line = encode_line(text) + return enc_line + + def spm_detokenize(self, tokens, input_format='piece'): + """spm detokenize. + + Args: + ids (List[str]): tokens. + + Returns: + str: text + """ + if input_format == "piece": + + def decode(l): + return "".join(self.sp.DecodePieces(l)) + elif input_format == "id": + + def decode(l): + return "".join(self.sp.DecodeIds(l)) + + return decode(tokens) + + def _load_vocabulary_from_file(self, vocab: Union[str, list], + maskctc: bool): + """Load vocabulary from file.""" + if isinstance(vocab, list): + vocab_list = vocab + else: + vocab_list = load_dict(vocab, maskctc) + assert vocab_list is not None + logger.debug(f"Vocab: {pformat(vocab_list)}") + + id2token = dict( + [(idx, token) for (idx, token) in enumerate(vocab_list)]) + token2id = dict( + [(token, idx) for (idx, token) in enumerate(vocab_list)]) + + blank_id = vocab_list.index(BLANK) if BLANK in vocab_list else -1 + maskctc_id = vocab_list.index(MASKCTC) if MASKCTC in vocab_list else -1 + unk_id = vocab_list.index(UNK) if UNK in vocab_list else -1 + eos_id = vocab_list.index(EOS) if EOS in vocab_list else -1 + sos_id = vocab_list.index(SOS) if SOS in vocab_list else -1 + space_id = vocab_list.index(SPACE) if SPACE in vocab_list else -1 + + logger.info(f"BLANK id: {blank_id}") + logger.info(f"UNK id: {unk_id}") + logger.info(f"EOS id: {eos_id}") + logger.info(f"SOS id: {sos_id}") + logger.info(f"SPACE id: {space_id}") + logger.info(f"MASKCTC id: {maskctc_id}") + return token2id, id2token, vocab_list, unk_id, eos_id, blank_id diff --git a/paddlespeech/audio/text/utility.py b/paddlespeech/audio/text/utility.py new file mode 100644 index 000000000..d35785db6 --- /dev/null +++ b/paddlespeech/audio/text/utility.py @@ -0,0 +1,393 @@ +# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains data helper functions.""" +import json +import math +import tarfile +from collections import namedtuple +from typing import List +from typing import Optional +from typing import Text + +import jsonlines +import numpy as np + +from paddlespeech.s2t.utils.log import Log + +logger = Log(__name__).getlog() + +__all__ = [ + "load_dict", "load_cmvn", "read_manifest", "rms_to_db", "rms_to_dbfs", + "max_dbfs", "mean_dbfs", "gain_db_to_ratio", "normalize_audio", "SOS", + "EOS", "UNK", "BLANK", "MASKCTC", "SPACE", "convert_samples_to_float32", + "convert_samples_from_float32" +] + +IGNORE_ID = -1 +# `sos` and `eos` using same token +SOS = "" +EOS = SOS +UNK = "" +BLANK = "" +MASKCTC = "" +SPACE = "" + + +def load_dict(dict_path: Optional[Text], maskctc=False) -> Optional[List[Text]]: + if dict_path is None: + return None + + with open(dict_path, "r") as f: + dictionary = f.readlines() + # first token is `` + # multi line: ` 0\n` + # one line: `` + # space is relpace with + char_list = [entry[:-1].split(" ")[0] for entry in dictionary] + if BLANK not in char_list: + char_list.insert(0, BLANK) + if EOS not in char_list: + char_list.append(EOS) + # for non-autoregressive maskctc model + if maskctc and MASKCTC not in char_list: + char_list.append(MASKCTC) + return char_list + + +def read_manifest( + manifest_path, + max_input_len=float('inf'), + min_input_len=0.0, + max_output_len=float('inf'), + min_output_len=0.0, + max_output_input_ratio=float('inf'), + min_output_input_ratio=0.0, ): + """Load and parse manifest file. + + Args: + manifest_path ([type]): Manifest file to load and parse. + max_input_len ([type], optional): maximum output seq length, + in seconds for raw wav, in frame numbers for feature data. + Defaults to float('inf'). + min_input_len (float, optional): minimum input seq length, + in seconds for raw wav, in frame numbers for feature data. + Defaults to 0.0. + max_output_len (float, optional): maximum input seq length, + in modeling units. Defaults to 500.0. + min_output_len (float, optional): minimum input seq length, + in modeling units. Defaults to 0.0. + max_output_input_ratio (float, optional): + maximum output seq length/output seq length ratio. Defaults to 10.0. + min_output_input_ratio (float, optional): + minimum output seq length/output seq length ratio. Defaults to 0.05. + + Raises: + IOError: If failed to parse the manifest. + + Returns: + List[dict]: Manifest parsing results. + """ + manifest = [] + with jsonlines.open(manifest_path, 'r') as reader: + for json_data in reader: + feat_len = json_data["input"][0]["shape"][ + 0] if "input" in json_data and "shape" in json_data["input"][ + 0] else 1.0 + token_len = json_data["output"][0]["shape"][ + 0] if "output" in json_data and "shape" in json_data["output"][ + 0] else 1.0 + conditions = [ + feat_len >= min_input_len, + feat_len <= max_input_len, + token_len >= min_output_len, + token_len <= max_output_len, + token_len / feat_len >= min_output_input_ratio, + token_len / feat_len <= max_output_input_ratio, + ] + if all(conditions): + manifest.append(json_data) + return manifest + + +# Tar File read +TarLocalData = namedtuple('TarLocalData', ['tar2info', 'tar2object']) + + +def parse_tar(file): + """Parse a tar file to get a tarfile object + and a map containing tarinfoes + """ + result = {} + f = tarfile.open(file) + for tarinfo in f.getmembers(): + result[tarinfo.name] = tarinfo + return f, result + + +def subfile_from_tar(file, local_data=None): + """Get subfile object from tar. + + tar:tarpath#filename + + It will return a subfile object from tar file + and cached tar file info for next reading request. + """ + tarpath, filename = file.split(':', 1)[1].split('#', 1) + + if local_data is None: + local_data = TarLocalData(tar2info={}, tar2object={}) + + assert isinstance(local_data, TarLocalData) + + if 'tar2info' not in local_data.__dict__: + local_data.tar2info = {} + if 'tar2object' not in local_data.__dict__: + local_data.tar2object = {} + + if tarpath not in local_data.tar2info: + fobj, infos = parse_tar(tarpath) + local_data.tar2info[tarpath] = infos + local_data.tar2object[tarpath] = fobj + else: + fobj = local_data.tar2object[tarpath] + infos = local_data.tar2info[tarpath] + return fobj.extractfile(infos[filename]) + + +def rms_to_db(rms: float): + """Root Mean Square to dB. + + Args: + rms ([float]): root mean square + + Returns: + float: dB + """ + return 20.0 * math.log10(max(1e-16, rms)) + + +def rms_to_dbfs(rms: float): + """Root Mean Square to dBFS. + https://fireattack.wordpress.com/2017/02/06/replaygain-loudness-normalization-and-applications/ + Audio is mix of sine wave, so 1 amp sine wave's Full scale is 0.7071, equal to -3.0103dB. + + dB = dBFS + 3.0103 + dBFS = db - 3.0103 + e.g. 0 dB = -3.0103 dBFS + + Args: + rms ([float]): root mean square + + Returns: + float: dBFS + """ + return rms_to_db(rms) - 3.0103 + + +def max_dbfs(sample_data: np.ndarray): + """Peak dBFS based on the maximum energy sample. + + Args: + sample_data ([np.ndarray]): float array, [-1, 1]. + + Returns: + float: dBFS + """ + # Peak dBFS based on the maximum energy sample. Will prevent overdrive if used for normalization. + return rms_to_dbfs(max(abs(np.min(sample_data)), abs(np.max(sample_data)))) + + +def mean_dbfs(sample_data): + """Peak dBFS based on the RMS energy. + + Args: + sample_data ([np.ndarray]): float array, [-1, 1]. + + Returns: + float: dBFS + """ + return rms_to_dbfs( + math.sqrt(np.mean(np.square(sample_data, dtype=np.float64)))) + + +def gain_db_to_ratio(gain_db: float): + """dB to ratio + + Args: + gain_db (float): gain in dB + + Returns: + float: scale in amp + """ + return math.pow(10.0, gain_db / 20.0) + + +def normalize_audio(sample_data: np.ndarray, dbfs: float=-3.0103): + """Nomalize audio to dBFS. + + Args: + sample_data (np.ndarray): input wave samples, [-1, 1]. + dbfs (float, optional): target dBFS. Defaults to -3.0103. + + Returns: + np.ndarray: normalized wave + """ + return np.maximum( + np.minimum(sample_data * gain_db_to_ratio(dbfs - max_dbfs(sample_data)), + 1.0), -1.0) + + +def _load_json_cmvn(json_cmvn_file): + """ Load the json format cmvn stats file and calculate cmvn + + Args: + json_cmvn_file: cmvn stats file in json format + + Returns: + a numpy array of [means, vars] + """ + with open(json_cmvn_file) as f: + cmvn_stats = json.load(f) + + means = cmvn_stats['mean_stat'] + variance = cmvn_stats['var_stat'] + count = cmvn_stats['frame_num'] + for i in range(len(means)): + means[i] /= count + variance[i] = variance[i] / count - means[i] * means[i] + if variance[i] < 1.0e-20: + variance[i] = 1.0e-20 + variance[i] = 1.0 / math.sqrt(variance[i]) + cmvn = np.array([means, variance]) + return cmvn + + +def _load_kaldi_cmvn(kaldi_cmvn_file): + """ Load the kaldi format cmvn stats file and calculate cmvn + + Args: + kaldi_cmvn_file: kaldi text style global cmvn file, which + is generated by: + compute-cmvn-stats --binary=false scp:feats.scp global_cmvn + + Returns: + a numpy array of [means, vars] + """ + means = [] + variance = [] + with open(kaldi_cmvn_file, 'r') as fid: + # kaldi binary file start with '\0B' + if fid.read(2) == '\0B': + logger.error('kaldi cmvn binary file is not supported, please ' + 'recompute it by: compute-cmvn-stats --binary=false ' + ' scp:feats.scp global_cmvn') + sys.exit(1) + fid.seek(0) + arr = fid.read().split() + assert (arr[0] == '[') + assert (arr[-2] == '0') + assert (arr[-1] == ']') + feat_dim = int((len(arr) - 2 - 2) / 2) + for i in range(1, feat_dim + 1): + means.append(float(arr[i])) + count = float(arr[feat_dim + 1]) + for i in range(feat_dim + 2, 2 * feat_dim + 2): + variance.append(float(arr[i])) + + for i in range(len(means)): + means[i] /= count + variance[i] = variance[i] / count - means[i] * means[i] + if variance[i] < 1.0e-20: + variance[i] = 1.0e-20 + variance[i] = 1.0 / math.sqrt(variance[i]) + cmvn = np.array([means, variance]) + return cmvn + + +def load_cmvn(cmvn_file: str, filetype: str): + """load cmvn from file. + + Args: + cmvn_file (str): cmvn path. + filetype (str): file type, optional[npz, json, kaldi]. + + Raises: + ValueError: file type not support. + + Returns: + Tuple[np.ndarray, np.ndarray]: mean, istd + """ + assert filetype in ['npz', 'json', 'kaldi'], filetype + filetype = filetype.lower() + if filetype == "json": + cmvn = _load_json_cmvn(cmvn_file) + elif filetype == "kaldi": + cmvn = _load_kaldi_cmvn(cmvn_file) + elif filetype == "npz": + eps = 1e-14 + npzfile = np.load(cmvn_file) + mean = np.squeeze(npzfile["mean"]) + std = np.squeeze(npzfile["std"]) + istd = 1 / (std + eps) + cmvn = [mean, istd] + else: + raise ValueError(f"cmvn file type no support: {filetype}") + return cmvn[0], cmvn[1] + + +def convert_samples_to_float32(samples): + """Convert sample type to float32. + + Audio sample type is usually integer or float-point. + Integers will be scaled to [-1, 1] in float32. + + PCM16 -> PCM32 + """ + float32_samples = samples.astype('float32') + if samples.dtype in np.sctypes['int']: + bits = np.iinfo(samples.dtype).bits + float32_samples *= (1. / 2**(bits - 1)) + elif samples.dtype in np.sctypes['float']: + pass + else: + raise TypeError("Unsupported sample type: %s." % samples.dtype) + return float32_samples + + +def convert_samples_from_float32(samples, dtype): + """Convert sample type from float32 to dtype. + + Audio sample type is usually integer or float-point. For integer + type, float32 will be rescaled from [-1, 1] to the maximum range + supported by the integer type. + + PCM32 -> PCM16 + """ + dtype = np.dtype(dtype) + output_samples = samples.copy() + if dtype in np.sctypes['int']: + bits = np.iinfo(dtype).bits + output_samples *= (2**(bits - 1) / 1.) + min_val = np.iinfo(dtype).min + max_val = np.iinfo(dtype).max + output_samples[output_samples > max_val] = max_val + output_samples[output_samples < min_val] = min_val + elif samples.dtype in np.sctypes['float']: + min_val = np.finfo(dtype).min + max_val = np.finfo(dtype).max + output_samples[output_samples > max_val] = max_val + output_samples[output_samples < min_val] = min_val + else: + raise TypeError("Unsupported sample type: %s." % samples.dtype) + return output_samples.astype(dtype) diff --git a/paddlespeech/s2t/exps/deepspeech2/model.py b/paddlespeech/s2t/exps/deepspeech2/model.py index 511997a7c..7ab8cf853 100644 --- a/paddlespeech/s2t/exps/deepspeech2/model.py +++ b/paddlespeech/s2t/exps/deepspeech2/model.py @@ -23,7 +23,7 @@ import paddle from paddle import distributed as dist from paddle import inference -from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer +from paddlespeech.audio.text.text_featurizer import TextFeaturizer from paddlespeech.s2t.io.dataloader import BatchDataLoader from paddlespeech.s2t.models.ds2 import DeepSpeech2InferModel from paddlespeech.s2t.models.ds2 import DeepSpeech2Model diff --git a/paddlespeech/s2t/exps/u2/model.py b/paddlespeech/s2t/exps/u2/model.py index d6c68f96e..cdad3b8f7 100644 --- a/paddlespeech/s2t/exps/u2/model.py +++ b/paddlespeech/s2t/exps/u2/model.py @@ -27,6 +27,7 @@ from paddle import distributed as dist from paddlespeech.s2t.frontend.featurizer import TextFeaturizer from paddlespeech.s2t.io.dataloader import BatchDataLoader from paddlespeech.s2t.io.dataloader import StreamDataLoader +from paddlespeech.s2t.io.dataloader import DataLoaderFactory from paddlespeech.s2t.models.u2 import U2Model from paddlespeech.s2t.training.optimizer import OptimizerFactory from paddlespeech.s2t.training.reporter import ObsScope @@ -134,7 +135,8 @@ class U2Trainer(Trainer): msg = f"Valid: Rank: {dist.get_rank()}, " msg += "epoch: {}, ".format(self.epoch) msg += "step: {}, ".format(self.iteration) - #msg += "batch: {}/{}, ".format(i + 1, len(self.valid_loader)) + if not self.use_streamdata: + msg += "batch: {}/{}, ".format(i + 1, len(self.valid_loader)) msg += ', '.join('{}: {:>.6f}'.format(k, v) for k, v in valid_dump.items()) logger.info(msg) @@ -195,7 +197,6 @@ class U2Trainer(Trainer): except Exception as e: logger.error(e) raise e - with Timer("Eval Time Cost: {}"): total_loss, num_seen_utts = self.valid() if dist.get_world_size() > 1: @@ -224,186 +225,14 @@ class U2Trainer(Trainer): config = self.config.clone() self.use_streamdata = config.get("use_stream_data", False) if self.train: - # train/valid dataset, return token ids - if self.use_streamdata: - self.train_loader = StreamDataLoader( - manifest_file=config.train_manifest, - train_mode=True, - unit_type=config.unit_type, - batch_size=config.batch_size, - num_mel_bins=config.feat_dim, - frame_length=config.window_ms, - frame_shift=config.stride_ms, - dither=config.dither, - minlen_in=config.minlen_in, - maxlen_in=config.maxlen_in, - minlen_out=config.minlen_out, - maxlen_out=config.maxlen_out, - resample_rate=config.resample_rate, - augment_conf=config.augment_conf, # dict - shuffle_size=config.shuffle_size, - sort_size=config.sort_size, - n_iter_processes=config.num_workers, - prefetch_factor=config.prefetch_factor, - dist_sampler=config.get('dist_sampler', False), - cmvn_file=config.cmvn_file, - vocab_filepath=config.vocab_filepath, - ) - self.valid_loader = StreamDataLoader( - manifest_file=config.dev_manifest, - train_mode=False, - unit_type=config.unit_type, - batch_size=config.batch_size, - num_mel_bins=config.feat_dim, - frame_length=config.window_ms, - frame_shift=config.stride_ms, - dither=config.dither, - minlen_in=config.minlen_in, - maxlen_in=config.maxlen_in, - minlen_out=config.minlen_out, - maxlen_out=config.maxlen_out, - resample_rate=config.resample_rate, - augment_conf=config.augment_conf, # dict - shuffle_size=config.shuffle_size, - sort_size=config.sort_size, - n_iter_processes=config.num_workers, - prefetch_factor=config.prefetch_factor, - dist_sampler=config.get('dist_sampler', False), - cmvn_file=config.cmvn_file, - vocab_filepath=config.vocab_filepath, - ) - else: - self.train_loader = BatchDataLoader( - json_file=config.train_manifest, - train_mode=True, - sortagrad=config.sortagrad, - batch_size=config.batch_size, - maxlen_in=config.maxlen_in, - maxlen_out=config.maxlen_out, - minibatches=config.minibatches, - mini_batch_size=self.args.ngpu, - batch_count=config.batch_count, - batch_bins=config.batch_bins, - batch_frames_in=config.batch_frames_in, - batch_frames_out=config.batch_frames_out, - batch_frames_inout=config.batch_frames_inout, - preprocess_conf=config.preprocess_config, - n_iter_processes=config.num_workers, - subsampling_factor=1, - num_encs=1, - dist_sampler=config.get('dist_sampler', False), - shortest_first=False) - - self.valid_loader = BatchDataLoader( - json_file=config.dev_manifest, - train_mode=False, - sortagrad=False, - batch_size=config.batch_size, - maxlen_in=float('inf'), - maxlen_out=float('inf'), - minibatches=0, - mini_batch_size=self.args.ngpu, - batch_count='auto', - batch_bins=0, - batch_frames_in=0, - batch_frames_out=0, - batch_frames_inout=0, - preprocess_conf=config.preprocess_config, - n_iter_processes=config.num_workers, - subsampling_factor=1, - num_encs=1, - dist_sampler=config.get('dist_sampler', False), - shortest_first=False) + self.train_loader = DataLoaderFactory.get_dataloader('train', config, self.args) + self.valid_loader = DataLoaderFactory.get_dataloader('valid', config, self.args) logger.info("Setup train/valid Dataloader!") else: decode_batch_size = config.get('decode', dict()).get( 'decode_batch_size', 1) - # test dataset, return raw text - if self.use_streamdata: - self.test_loader = StreamDataLoader( - manifest_file=config.test_manifest, - train_mode=False, - unit_type=config.unit_type, - batch_size=config.batch_size, - num_mel_bins=config.feat_dim, - frame_length=config.window_ms, - frame_shift=config.stride_ms, - dither=0.0, - minlen_in=0.0, - maxlen_in=float('inf'), - minlen_out=0, - maxlen_out=float('inf'), - resample_rate=config.resample_rate, - augment_conf=config.augment_conf, # dict - shuffle_size=config.shuffle_size, - sort_size=config.sort_size, - n_iter_processes=config.num_workers, - prefetch_factor=config.prefetch_factor, - dist_sampler=config.get('dist_sampler', False), - cmvn_file=config.cmvn_file, - vocab_filepath=config.vocab_filepath, - ) - self.align_loader = StreamDataLoader( - manifest_file=config.test_manifest, - train_mode=False, - unit_type=config.unit_type, - batch_size=config.batch_size, - num_mel_bins=config.feat_dim, - frame_length=config.window_ms, - frame_shift=config.stride_ms, - dither=0.0, - minlen_in=0.0, - maxlen_in=float('inf'), - minlen_out=0, - maxlen_out=float('inf'), - resample_rate=config.resample_rate, - augment_conf=config.augment_conf, # dict - shuffle_size=config.shuffle_size, - sort_size=config.sort_size, - n_iter_processes=config.num_workers, - prefetch_factor=config.prefetch_factor, - dist_sampler=config.get('dist_sampler', False), - cmvn_file=config.cmvn_file, - vocab_filepath=config.vocab_filepath, - ) - else: - self.test_loader = BatchDataLoader( - json_file=config.test_manifest, - train_mode=False, - sortagrad=False, - batch_size=decode_batch_size, - maxlen_in=float('inf'), - maxlen_out=float('inf'), - minibatches=0, - mini_batch_size=1, - batch_count='auto', - batch_bins=0, - batch_frames_in=0, - batch_frames_out=0, - batch_frames_inout=0, - preprocess_conf=config.preprocess_config, - n_iter_processes=1, - subsampling_factor=1, - num_encs=1) - - self.align_loader = BatchDataLoader( - json_file=config.test_manifest, - train_mode=False, - sortagrad=False, - batch_size=decode_batch_size, - maxlen_in=float('inf'), - maxlen_out=float('inf'), - minibatches=0, - mini_batch_size=1, - batch_count='auto', - batch_bins=0, - batch_frames_in=0, - batch_frames_out=0, - batch_frames_inout=0, - preprocess_conf=config.preprocess_config, - n_iter_processes=1, - subsampling_factor=1, - num_encs=1) + self.test_loader = DataLoaderFactory.get_dataloader('test', config, self.args) + self.align_loader = DataLoaderFactory.get_dataloader('align', config, self.args) logger.info("Setup test/align Dataloader!") def setup_model(self): diff --git a/paddlespeech/s2t/exps/u2_kaldi/model.py b/paddlespeech/s2t/exps/u2_kaldi/model.py index bc995977a..cb015c116 100644 --- a/paddlespeech/s2t/exps/u2_kaldi/model.py +++ b/paddlespeech/s2t/exps/u2_kaldi/model.py @@ -25,7 +25,7 @@ from paddle import distributed as dist from paddlespeech.s2t.frontend.featurizer import TextFeaturizer from paddlespeech.s2t.frontend.utility import load_dict -from paddlespeech.s2t.io.dataloader import BatchDataLoader +from paddlespeech.s2t.io.dataloader import DataLoaderFactory from paddlespeech.s2t.models.u2 import U2Model from paddlespeech.s2t.training.optimizer import OptimizerFactory from paddlespeech.s2t.training.scheduler import LRSchedulerFactory @@ -104,7 +104,8 @@ class U2Trainer(Trainer): @paddle.no_grad() def valid(self): self.model.eval() - logger.info(f"Valid Total Examples: {len(self.valid_loader.dataset)}") + if not self.use_streamdata: + logger.info(f"Valid Total Examples: {len(self.valid_loader.dataset)}") valid_losses = defaultdict(list) num_seen_utts = 1 total_loss = 0.0 @@ -131,7 +132,8 @@ class U2Trainer(Trainer): msg = f"Valid: Rank: {dist.get_rank()}, " msg += "epoch: {}, ".format(self.epoch) msg += "step: {}, ".format(self.iteration) - msg += "batch: {}/{}, ".format(i + 1, len(self.valid_loader)) + if not self.use_streamdata: + msg += "batch: {}/{}, ".format(i + 1, len(self.valid_loader)) msg += ', '.join('{}: {:>.6f}'.format(k, v) for k, v in valid_dump.items()) logger.info(msg) @@ -150,8 +152,8 @@ class U2Trainer(Trainer): # paddle.jit.save(script_model, script_model_path) self.before_train() - - logger.info(f"Train Total Examples: {len(self.train_loader.dataset)}") + if not self.use_streamdata: + logger.info(f"Train Total Examples: {len(self.train_loader.dataset)}") while self.epoch < self.config.n_epoch: with Timer("Epoch-Train Time Cost: {}"): self.model.train() @@ -162,7 +164,8 @@ class U2Trainer(Trainer): msg = "Train: Rank: {}, ".format(dist.get_rank()) msg += "epoch: {}, ".format(self.epoch) msg += "step: {}, ".format(self.iteration) - msg += "batch : {}/{}, ".format(batch_index + 1, + if not self.use_streamdata: + msg += "batch : {}/{}, ".format(batch_index + 1, len(self.train_loader)) msg += "lr: {:>.8f}, ".format(self.lr_scheduler()) msg += "data time: {:>.3f}s, ".format(dataload_time) @@ -198,87 +201,23 @@ class U2Trainer(Trainer): self.new_epoch() def setup_dataloader(self): - config = self.config.clone() - # train/valid dataset, return token ids - self.train_loader = BatchDataLoader( - json_file=config.train_manifest, - train_mode=True, - sortagrad=False, - batch_size=config.batch_size, - maxlen_in=float('inf'), - maxlen_out=float('inf'), - minibatches=0, - mini_batch_size=self.args.ngpu, - batch_count='auto', - batch_bins=0, - batch_frames_in=0, - batch_frames_out=0, - batch_frames_inout=0, - preprocess_conf=config.preprocess_config, - n_iter_processes=config.num_workers, - subsampling_factor=1, - num_encs=1) - - self.valid_loader = BatchDataLoader( - json_file=config.dev_manifest, - train_mode=False, - sortagrad=False, - batch_size=config.batch_size, - maxlen_in=float('inf'), - maxlen_out=float('inf'), - minibatches=0, - mini_batch_size=self.args.ngpu, - batch_count='auto', - batch_bins=0, - batch_frames_in=0, - batch_frames_out=0, - batch_frames_inout=0, - preprocess_conf=None, - n_iter_processes=config.num_workers, - subsampling_factor=1, - num_encs=1) - - decode_batch_size = config.get('decode', dict()).get( - 'decode_batch_size', 1) - # test dataset, return raw text - self.test_loader = BatchDataLoader( - json_file=config.test_manifest, - train_mode=False, - sortagrad=False, - batch_size=decode_batch_size, - maxlen_in=float('inf'), - maxlen_out=float('inf'), - minibatches=0, - mini_batch_size=1, - batch_count='auto', - batch_bins=0, - batch_frames_in=0, - batch_frames_out=0, - batch_frames_inout=0, - preprocess_conf=None, - n_iter_processes=1, - subsampling_factor=1, - num_encs=1) - - self.align_loader = BatchDataLoader( - json_file=config.test_manifest, - train_mode=False, - sortagrad=False, - batch_size=decode_batch_size, - maxlen_in=float('inf'), - maxlen_out=float('inf'), - minibatches=0, - mini_batch_size=1, - batch_count='auto', - batch_bins=0, - batch_frames_in=0, - batch_frames_out=0, - batch_frames_inout=0, - preprocess_conf=None, - n_iter_processes=1, - subsampling_factor=1, - num_encs=1) - logger.info("Setup train/valid/test/align Dataloader!") + self.use_streamdata = config.get("use_stream_data", False) + if self.train: + config = self.config.clone() + self.train_loader = DataLoaderFactory.get_dataloader('train', config, self.args) + config = self.config.clone() + config['preprocess_config'] = None + self.valid_loader = DataLoaderFactory.get_dataloader('valid', config, self.args) + logger.info("Setup train/valid Dataloader!") + else: + config = self.config.clone() + config['preprocess_config'] = None + self.test_loader = DataLoaderFactory.get_dataloader('test', config, self.args) + config = self.config.clone() + config['preprocess_config'] = None + self.align_loader = DataLoaderFactory.get_dataloader('align', config, self.args) + logger.info("Setup test/align Dataloader!") + def setup_model(self): config = self.config @@ -406,7 +345,8 @@ class U2Tester(U2Trainer): def test(self): assert self.args.result_file self.model.eval() - logger.info(f"Test Total Examples: {len(self.test_loader.dataset)}") + if not self.use_streamdata: + logger.info(f"Test Total Examples: {len(self.test_loader.dataset)}") stride_ms = self.config.stride_ms error_rate_type = None diff --git a/paddlespeech/s2t/exps/u2_st/model.py b/paddlespeech/s2t/exps/u2_st/model.py index 6a32eda77..603825435 100644 --- a/paddlespeech/s2t/exps/u2_st/model.py +++ b/paddlespeech/s2t/exps/u2_st/model.py @@ -25,7 +25,7 @@ import paddle from paddle import distributed as dist from paddlespeech.s2t.frontend.featurizer import TextFeaturizer -from paddlespeech.s2t.io.dataloader import BatchDataLoader +from paddlespeech.s2t.io.dataloader import DataLoaderFactory from paddlespeech.s2t.models.u2_st import U2STModel from paddlespeech.s2t.training.optimizer import OptimizerFactory from paddlespeech.s2t.training.reporter import ObsScope @@ -120,7 +120,8 @@ class U2STTrainer(Trainer): @paddle.no_grad() def valid(self): self.model.eval() - logger.info(f"Valid Total Examples: {len(self.valid_loader.dataset)}") + if not self.use_streamdata: + logger.info(f"Valid Total Examples: {len(self.valid_loader.dataset)}") valid_losses = defaultdict(list) num_seen_utts = 1 total_loss = 0.0 @@ -153,7 +154,8 @@ class U2STTrainer(Trainer): msg = f"Valid: Rank: {dist.get_rank()}, " msg += "epoch: {}, ".format(self.epoch) msg += "step: {}, ".format(self.iteration) - msg += "batch: {}/{}, ".format(i + 1, len(self.valid_loader)) + if not self.use_streamdata: + msg += "batch: {}/{}, ".format(i + 1, len(self.valid_loader)) msg += ', '.join('{}: {:>.6f}'.format(k, v) for k, v in valid_dump.items()) logger.info(msg) @@ -172,8 +174,8 @@ class U2STTrainer(Trainer): # paddle.jit.save(script_model, script_model_path) self.before_train() - - logger.info(f"Train Total Examples: {len(self.train_loader.dataset)}") + if not self.use_streamdata: + logger.info(f"Train Total Examples: {len(self.train_loader.dataset)}") while self.epoch < self.config.n_epoch: with Timer("Epoch-Train Time Cost: {}"): self.model.train() @@ -191,7 +193,8 @@ class U2STTrainer(Trainer): self.train_batch(batch_index, batch, msg) self.after_train_batch() report('iter', batch_index + 1) - report('total', len(self.train_loader)) + if not self.use_streamdata: + report('total', len(self.train_loader)) report('reader_cost', dataload_time) observation['batch_cost'] = observation[ 'reader_cost'] + observation['step_cost'] @@ -241,79 +244,18 @@ class U2STTrainer(Trainer): load_transcript = True if config.model_conf.asr_weight > 0 else False + config = self.config.clone() + config['load_transcript'] = load_transcript + self.use_streamdata = config.get("use_stream_data", False) if self.train: - # train/valid dataset, return token ids - self.train_loader = BatchDataLoader( - json_file=config.train_manifest, - train_mode=True, - sortagrad=False, - batch_size=config.batch_size, - maxlen_in=config.maxlen_in, - maxlen_out=config.maxlen_out, - minibatches=0, - mini_batch_size=1, - batch_count='auto', - batch_bins=0, - batch_frames_in=0, - batch_frames_out=0, - batch_frames_inout=0, - preprocess_conf=config. - preprocess_config, # aug will be off when train_mode=False - n_iter_processes=config.num_workers, - subsampling_factor=1, - load_aux_output=load_transcript, - num_encs=1, - dist_sampler=True) - - self.valid_loader = BatchDataLoader( - json_file=config.dev_manifest, - train_mode=False, - sortagrad=False, - batch_size=config.batch_size, - maxlen_in=float('inf'), - maxlen_out=float('inf'), - minibatches=0, - mini_batch_size=1, - batch_count='auto', - batch_bins=0, - batch_frames_in=0, - batch_frames_out=0, - batch_frames_inout=0, - preprocess_conf=config. - preprocess_config, # aug will be off when train_mode=False - n_iter_processes=config.num_workers, - subsampling_factor=1, - load_aux_output=load_transcript, - num_encs=1, - dist_sampler=False) + self.train_loader = DataLoaderFactory.get_dataloader('train', config, self.args) + self.valid_loader = DataLoaderFactory.get_dataloader('valid', config, self.args) logger.info("Setup train/valid Dataloader!") else: - # test dataset, return raw text - decode_batch_size = config.get('decode', dict()).get( - 'decode_batch_size', 1) - self.test_loader = BatchDataLoader( - json_file=config.test_manifest, - train_mode=False, - sortagrad=False, - batch_size=decode_batch_size, - maxlen_in=float('inf'), - maxlen_out=float('inf'), - minibatches=0, - mini_batch_size=1, - batch_count='auto', - batch_bins=0, - batch_frames_in=0, - batch_frames_out=0, - batch_frames_inout=0, - preprocess_conf=config. - preprocess_config, # aug will be off when train_mode=False - n_iter_processes=config.num_workers, - subsampling_factor=1, - num_encs=1, - dist_sampler=False) - + self.test_loader = DataLoaderFactory.get_dataloader('test', config, self.args) logger.info("Setup test Dataloader!") + def setup_model(self): config = self.config model_conf = config @@ -468,7 +410,8 @@ class U2STTester(U2STTrainer): def test(self): assert self.args.result_file self.model.eval() - logger.info(f"Test Total Examples: {len(self.test_loader.dataset)}") + if not self.use_streamdata: + logger.info(f"Test Total Examples: {len(self.test_loader.dataset)}") decode_cfg = self.config.decode bleu_func = bleu_score.char_bleu if decode_cfg.error_rate_type == 'char-bleu' else bleu_score.bleu diff --git a/paddlespeech/s2t/io/dataloader.py b/paddlespeech/s2t/io/dataloader.py index cb466ecba..831830241 100644 --- a/paddlespeech/s2t/io/dataloader.py +++ b/paddlespeech/s2t/io/dataloader.py @@ -30,9 +30,10 @@ from paddlespeech.s2t.io.reader import LoadInputsAndTargets from paddlespeech.s2t.utils.log import Log import paddlespeech.audio.streamdata as streamdata -from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer +from paddlespeech.audio.text.text_featurizer import TextFeaturizer +from yacs.config import CfgNode -__all__ = ["BatchDataLoader"] +__all__ = ["BatchDataLoader", "StreamDataLoader"] logger = Log(__name__).getlog() @@ -60,12 +61,36 @@ def batch_collate(x): """ return x[0] +def read_preprocess_cfg(preprocess_conf_file): + augment_conf = dict() + preprocess_cfg = CfgNode(new_allowed=True) + preprocess_cfg.merge_from_file(preprocess_conf_file) + for idx, process in enumerate(preprocess_cfg["process"]): + opts = dict(process) + process_type = opts.pop("type") + if process_type == 'time_warp': + augment_conf['max_w'] = process['max_time_warp'] + augment_conf['w_inplace'] = process['inplace'] + augment_conf['w_mode'] = process['mode'] + if process_type == 'freq_mask': + augment_conf['max_f'] = process['F'] + augment_conf['num_f_mask'] = process['n_mask'] + augment_conf['f_inplace'] = process['inplace'] + augment_conf['f_replace_with_zero'] = process['replace_with_zero'] + if process_type == 'time_mask': + augment_conf['max_t'] = process['T'] + augment_conf['num_t_mask'] = process['n_mask'] + augment_conf['t_inplace'] = process['inplace'] + augment_conf['t_replace_with_zero'] = process['replace_with_zero'] + return augment_conf + class StreamDataLoader(): def __init__(self, manifest_file: str, train_mode: bool, unit_type: str='char', batch_size: int=0, + preprocess_conf=None, num_mel_bins=80, frame_length=25, frame_shift=10, @@ -75,7 +100,6 @@ class StreamDataLoader(): minlen_out: float=0.0, maxlen_out: float=float('inf'), resample_rate: int=16000, - augment_conf: dict=None, shuffle_size: int=10000, sort_size: int=1000, n_iter_processes: int=1, @@ -95,12 +119,27 @@ class StreamDataLoader(): self.feat_dim = num_mel_bins self.vocab_size = text_featurizer.vocab_size + augment_conf = read_preprocess_cfg(preprocess_conf) + # The list of shard shardlist = [] with open(manifest_file, "r") as f: for line in f.readlines(): shardlist.append(line.strip()) - + world_size = 1 + try: + world_size = paddle.distributed.get_world_size() + except Exception as e: + logger.warninig(e) + logger.warninig("can not get world_size using paddle.distributed.get_world_size(), use world_size=1") + assert(len(shardlist) >= world_size, "the length of shard list should >= number of gpus/xpus/...") + + update_n_iter_processes = int(max(min(len(shardlist)/world_size - 1, self.n_iter_processes), 0)) + logger.info(f"update_n_iter_processes {update_n_iter_processes}") + if update_n_iter_processes != self.n_iter_processes: + self.n_iter_processes = update_n_iter_processes + logger.info(f"change nun_workers to {self.n_iter_processes}") + if self.dist_sampler: base_dataset = streamdata.DataPipeline( streamdata.SimpleShardList(shardlist), @@ -116,16 +155,16 @@ class StreamDataLoader(): ) self.dataset = base_dataset.append_list( - streamdata.tokenize(symbol_table), - streamdata.data_filter(frame_shift=frame_shift, max_length=maxlen_in, min_length=minlen_in, token_max_length=maxlen_out, token_min_length=minlen_in), - streamdata.resample(resample_rate=resample_rate), - streamdata.compute_fbank(num_mel_bins=num_mel_bins, frame_length=frame_length, frame_shift=frame_shift, dither=dither), - streamdata.spec_aug(**augment_conf) if train_mode else streamdata.placeholder(), # num_t_mask=2, num_f_mask=2, max_t=40, max_f=30, max_w=80) + streamdata.audio_tokenize(symbol_table), + streamdata.audio_data_filter(frame_shift=frame_shift, max_length=maxlen_in, min_length=minlen_in, token_max_length=maxlen_out, token_min_length=minlen_out), + streamdata.audio_resample(resample_rate=resample_rate), + streamdata.audio_compute_fbank(num_mel_bins=num_mel_bins, frame_length=frame_length, frame_shift=frame_shift, dither=dither), + streamdata.audio_spec_aug(**augment_conf) if train_mode else streamdata.placeholder(), # num_t_mask=2, num_f_mask=2, max_t=40, max_f=30, max_w=80) streamdata.shuffle(shuffle_size), streamdata.sort(sort_size=sort_size), streamdata.batched(batch_size), - streamdata.padding(), - streamdata.cmvn(cmvn_file) + streamdata.audio_padding(), + streamdata.audio_cmvn(cmvn_file) ) if paddle.__version__ >= '2.3.2': @@ -295,3 +334,119 @@ class BatchDataLoader(): echo += f"shortest_first: {self.shortest_first}, " echo += f"file: {self.json_file}" return echo + + +class DataLoaderFactory(): + @staticmethod + def get_dataloader(mode: str, config, args): + config = config.clone() + use_streamdata = config.get("use_stream_data", False) + if use_streamdata: + if mode == 'train': + config['manifest'] = config.train_manifest + config['train_mode'] = True + elif mode == 'valid': + config['manifest'] = config.dev_manifest + config['train_mode'] = False + elif model == 'test' or mode == 'align': + config['manifest'] = config.test_manifest + config['train_mode'] = False + config['dither'] = 0.0 + config['minlen_in'] = 0.0 + config['maxlen_in'] = float('inf') + config['minlen_out'] = 0 + config['maxlen_out'] = float('inf') + config['dist_sampler'] = False + else: + raise KeyError("not valid mode type!!, please input one of 'train, valid, test, align'") + return StreamDataLoader( + manifest_file=config.manifest, + train_mode=config.train_mode, + unit_type=config.unit_type, + preprocess_conf=config.preprocess_config, + batch_size=config.batch_size, + num_mel_bins=config.feat_dim, + frame_length=config.window_ms, + frame_shift=config.stride_ms, + dither=config.dither, + minlen_in=config.minlen_in, + maxlen_in=config.maxlen_in, + minlen_out=config.minlen_out, + maxlen_out=config.maxlen_out, + resample_rate=config.resample_rate, + shuffle_size=config.shuffle_size, + sort_size=config.sort_size, + n_iter_processes=config.num_workers, + prefetch_factor=config.prefetch_factor, + dist_sampler=config.dist_sampler, + cmvn_file=config.cmvn_file, + vocab_filepath=config.vocab_filepath, + ) + else: + if mode == 'train': + config['manifest'] = config.train_manifest + config['train_mode'] = True + config['mini_batch_size'] = args.ngpu + config['subsampling_factor'] = 1 + config['num_encs'] = 1 + elif mode == 'valid': + config['manifest'] = config.dev_manifest + config['train_mode'] = False + config['sortagrad'] = False + config['maxlen_in'] = float('inf') + config['maxlen_out'] = float('inf') + config['minibatches'] = 0 + config['mini_batch_size'] = args.ngpu + config['batch_count'] = 'auto' + config['batch_bins'] = 0 + config['batch_frames_in'] = 0 + config['batch_frames_out'] = 0 + config['batch_frames_inout'] = 0 + config['subsampling_factor'] = 1 + config['num_encs'] = 1 + config['shortest_first'] = False + elif mode == 'test' or mode == 'align': + config['manifest'] = config.test_manifest + config['train_mode'] = False + config['sortagrad'] = False + config['batch_size'] = config.get('decode', dict()).get( + 'decode_batch_size', 1) + config['maxlen_in'] = float('inf') + config['maxlen_out'] = float('inf') + config['minibatches'] = 0 + config['mini_batch_size'] = 1 + config['batch_count'] = 'auto' + config['batch_bins'] = 0 + config['batch_frames_in'] = 0 + config['batch_frames_out'] = 0 + config['batch_frames_inout'] = 0 + config['num_workers'] = 1 + config['subsampling_factor'] = 1 + config['num_encs'] = 1 + config['dist_sampler'] = False + config['shortest_first'] = False + else: + raise KeyError("not valid mode type!!, please input one of 'train, valid, test, align'") + + return BatchDataLoader( + json_file=config.manifest, + train_mode=config.train_mode, + sortagrad=config.sortagrad, + batch_size=config.batch_size, + maxlen_in=config.maxlen_in, + maxlen_out=config.maxlen_out, + minibatches=config.minibatches, + mini_batch_size=config.mini_batch_size, + batch_count=config.batch_count, + batch_bins=config.batch_bins, + batch_frames_in=config.batch_frames_in, + batch_frames_out=config.batch_frames_out, + batch_frames_inout=config.batch_frames_inout, + preprocess_conf=config.preprocess_config, + n_iter_processes=config.num_workers, + subsampling_factor=config.subsampling_factor, + load_aux_output=config.get('load_transcript', None), + num_encs=config.num_encs, + dist_sampler=config.dist_sampler, + shortest_first=config.shortest_first) + diff --git a/paddlespeech/s2t/models/u2/u2.py b/paddlespeech/s2t/models/u2/u2.py index b4b61666f..e3d0edb7f 100644 --- a/paddlespeech/s2t/models/u2/u2.py +++ b/paddlespeech/s2t/models/u2/u2.py @@ -48,9 +48,9 @@ from paddlespeech.s2t.utils import checkpoint from paddlespeech.s2t.utils import layer_tools from paddlespeech.s2t.utils.ctc_utils import remove_duplicates_and_blank from paddlespeech.s2t.utils.log import Log -from paddlespeech.s2t.utils.tensor_utils import add_sos_eos -from paddlespeech.s2t.utils.tensor_utils import pad_sequence -from paddlespeech.s2t.utils.tensor_utils import th_accuracy +from paddlespeech.audio.utils.tensor_utils import add_sos_eos +from paddlespeech.audio.utils.tensor_utils import pad_sequence +from paddlespeech.audio.utils.tensor_utils import th_accuracy from paddlespeech.s2t.utils.utility import log_add from paddlespeech.s2t.utils.utility import UpdateConfig diff --git a/paddlespeech/s2t/models/u2_st/u2_st.py b/paddlespeech/s2t/models/u2_st/u2_st.py index 6447753c5..00ded9125 100644 --- a/paddlespeech/s2t/models/u2_st/u2_st.py +++ b/paddlespeech/s2t/models/u2_st/u2_st.py @@ -38,8 +38,8 @@ from paddlespeech.s2t.modules.mask import subsequent_mask from paddlespeech.s2t.utils import checkpoint from paddlespeech.s2t.utils import layer_tools from paddlespeech.s2t.utils.log import Log -from paddlespeech.s2t.utils.tensor_utils import add_sos_eos -from paddlespeech.s2t.utils.tensor_utils import th_accuracy +from paddlespeech.audio.utils.tensor_utils import add_sos_eos +from paddlespeech.audio.utils.tensor_utils import th_accuracy from paddlespeech.s2t.utils.utility import UpdateConfig __all__ = ["U2STModel", "U2STInferModel"] From 7a436276db13f249306a2f2a6ce9998cf9fb4905 Mon Sep 17 00:00:00 2001 From: Jackwaterveg <87408988+Jackwaterveg@users.noreply.github.com> Date: Thu, 7 Jul 2022 11:25:41 +0800 Subject: [PATCH 070/192] test=doc --- docs/source/install_cn.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/install_cn.md b/docs/source/install_cn.md index 9294a2bcd..75f4174e0 100644 --- a/docs/source/install_cn.md +++ b/docs/source/install_cn.md @@ -60,7 +60,7 @@ pip install paddlespeech -i https://pypi.tuna.tsinghua.edu.cn/simple ``` > 如果您在使用 paddlespeech 的过程中遇到关于下载 **nltk_data** 的问题，可能是您的网络不佳，我们建议您下载我们提供的 [nltk_data](https://paddlespeech.bj.bcebos.com/Parakeet/tools/nltk_data.tar.gz) 并解压缩到您的 `${HOME}` 目录下。 -> 如果出现 paddlespeech-ctcdecoders 无法安装的问题，无须担心，这不影响使用。 +> 如果出现 paddlespeech-ctcdecoders 无法安装的问题，无须担心，这个只影响 deepspeech2 模型的推理，不影响其他模型的使用。 ## 中等： 获取主要功能（支持 Linux， Mac 和 Windows 不支持训练） 如果你想要使用 `paddlespeech` 的主要功能。你需要完成以下几个步骤 From 210b8a562a5271ca75a40f4eb860122e4fbf67f5 Mon Sep 17 00:00:00 2001 From: Jackwaterveg <87408988+Jackwaterveg@users.noreply.github.com> Date: Thu, 7 Jul 2022 11:34:13 +0800 Subject: [PATCH 071/192] test=doc --- docs/source/install.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/install.md b/docs/source/install.md index 4291b87af..e8bd5adf9 100644 --- a/docs/source/install.md +++ b/docs/source/install.md @@ -63,7 +63,7 @@ pip install paddlespeech -i https://pypi.tuna.tsinghua.edu.cn/simple ``` > If you encounter problem with downloading **nltk_data** while using paddlespeech, it maybe due to your poor network, we suggest you download the [nltk_data](https://paddlespeech.bj.bcebos.com/Parakeet/tools/nltk_data.tar.gz) provided by us, and extract it to your `${HOME}`. -> If you fail to install paddlespeech-ctcdecoders, it doesn't matter. +> If you fail to install paddlespeech-ctcdecoders, you only can not use deepspeech2 model inference. For other models, it doesn't matter. ## Medium: Get the Major Functions (Support Linux, mac and windows not support training) If you want to get the major function of `paddlespeech`, you need to do following steps: From 5b06b76ebc0d77e268b7e56bfae9e95b735730a6 Mon Sep 17 00:00:00 2001 From: lym0302 Date: Thu, 7 Jul 2022 06:00:36 +0000 Subject: [PATCH 072/192] change sr, test=doc --- .../server/bin/paddlespeech_client.py | 31 +-------- paddlespeech/server/engine/engine_factory.py | 2 +- .../engine/tts/online/onnx/tts_engine.py | 33 ++++------ .../engine/tts/online/python/tts_engine.py | 30 +++------ paddlespeech/server/utils/audio_handler.py | 63 +++++++++++-------- paddlespeech/server/utils/onnx_infer.py | 2 +- 6 files changed, 65 insertions(+), 96 deletions(-) diff --git a/paddlespeech/server/bin/paddlespeech_client.py b/paddlespeech/server/bin/paddlespeech_client.py index fb521b309..ad201b95b 100644 --- a/paddlespeech/server/bin/paddlespeech_client.py +++ b/paddlespeech/server/bin/paddlespeech_client.py @@ -192,23 +192,7 @@ class TTSOnlineClientExecutor(BaseExecutor): self.parser.add_argument( '--spk_id', type=int, default=0, help='Speaker id') self.parser.add_argument( - '--speed', - type=float, - default=1.0, - help='Audio speed, the value should be set between 0 and 3') - self.parser.add_argument( - '--volume', - type=float, - default=1.0, - help='Audio volume, the value should be set between 0 and 3') - self.parser.add_argument( - '--sample_rate', - type=int, - default=0, - choices=[0, 8000, 16000], - help='Sampling rate, the default is the same as the model') - self.parser.add_argument( - '--output', type=str, default=None, help='Synthesized audio file') + '--output', type=str, default=None, help='Client saves synthesized audio') self.parser.add_argument( "--play", type=bool, help="whether to play audio", default=False) @@ -219,9 +203,6 @@ class TTSOnlineClientExecutor(BaseExecutor): port = args.port protocol = args.protocol spk_id = args.spk_id - speed = args.speed - volume = args.volume - sample_rate = args.sample_rate output = args.output play = args.play @@ -232,9 +213,6 @@ class TTSOnlineClientExecutor(BaseExecutor): port=port, protocol=protocol, spk_id=spk_id, - speed=speed, - volume=volume, - sample_rate=sample_rate, output=output, play=play) return True @@ -250,9 +228,6 @@ class TTSOnlineClientExecutor(BaseExecutor): port: int=8092, protocol: str="http", spk_id: int=0, - speed: float=1.0, - volume: float=1.0, - sample_rate: int=0, output: str=None, play: bool=False): """ @@ -264,7 +239,7 @@ class TTSOnlineClientExecutor(BaseExecutor): from paddlespeech.server.utils.audio_handler import TTSHttpHandler handler = TTSHttpHandler(server_ip, port, play) first_response, final_response, duration, save_audio_success, receive_time_list, chunk_duration_list = handler.run( - input, spk_id, speed, volume, sample_rate, output) + input, spk_id, output) delay_time_list = compute_delay(receive_time_list, chunk_duration_list) @@ -274,7 +249,7 @@ class TTSOnlineClientExecutor(BaseExecutor): handler = TTSWsHandler(server_ip, port, play) loop = asyncio.get_event_loop() first_response, final_response, duration, save_audio_success, receive_time_list, chunk_duration_list = loop.run_until_complete( - handler.run(input, output)) + handler.run(input, spk_id, output)) delay_time_list = compute_delay(receive_time_list, chunk_duration_list) diff --git a/paddlespeech/server/engine/engine_factory.py b/paddlespeech/server/engine/engine_factory.py index 6a66a002e..c4f3f9803 100644 --- a/paddlespeech/server/engine/engine_factory.py +++ b/paddlespeech/server/engine/engine_factory.py @@ -13,7 +13,7 @@ # limitations under the License. from typing import Text -from ..utils.log import logger +from paddlespeech.cli.log import logger __all__ = ['EngineFactory'] diff --git a/paddlespeech/server/engine/tts/online/onnx/tts_engine.py b/paddlespeech/server/engine/tts/online/onnx/tts_engine.py index f64287af9..64ea47274 100644 --- a/paddlespeech/server/engine/tts/online/onnx/tts_engine.py +++ b/paddlespeech/server/engine/tts/online/onnx/tts_engine.py @@ -19,6 +19,8 @@ from typing import Optional import numpy as np import paddle +import librosa +from scipy import signal from paddlespeech.cli.log import logger from paddlespeech.cli.tts.infer import TTSExecutor @@ -30,6 +32,8 @@ from paddlespeech.server.utils.util import denorm from paddlespeech.server.utils.util import get_chunks from paddlespeech.t2s.frontend import English from paddlespeech.t2s.frontend.zh_frontend import Frontend +from paddlespeech.server.utils.audio_process import change_speed +from paddlespeech.server.utils.exception import ServerBaseException __all__ = ['TTSEngine', 'PaddleTTSConnectionHandler'] @@ -64,6 +68,8 @@ class TTSServerExecutor(TTSExecutor): self, 'am_postnet_sess'))) and hasattr(self, 'voc_inference'): logger.info('Models had been initialized.') return + + # am am_tag = am + '-' + lang if am == "fastspeech2_csmsc_onnx": @@ -213,6 +219,8 @@ class TTSEngine(BaseEngine): self.config.voc_sample_rate == self.config.am_sample_rate ), "The sample rate of AM and Vocoder model are different, please check model." + self.sample_rate = self.config.voc_sample_rate + try: if self.config.am_sess_conf.device is not None: self.device = self.config.am_sess_conf.device @@ -441,33 +449,16 @@ class PaddleTTSConnectionHandler: self.final_response_time = time.time() - frontend_st - def preprocess(self, text_bese64: str=None, text_bytes: bytes=None): - # Convert byte to text - if text_bese64: - text_bytes = base64.b64decode(text_bese64) # base64 to bytes - text = text_bytes.decode('utf-8') # bytes to text - - return text def run(self, sentence: str, - spk_id: int=0, - speed: float=1.0, - volume: float=1.0, - sample_rate: int=0, - save_path: str=None): + spk_id: int=0): """ run include inference and postprocess. Args: sentence (str): text to be synthesized spk_id (int, optional): speaker id for multi-speaker speech synthesis. Defaults to 0. - speed (float, optional): speed. Defaults to 1.0. - volume (float, optional): volume. Defaults to 1.0. - sample_rate (int, optional): target sample rate for synthesized audio, - 0 means the same as the model sampling rate. Defaults to 0. - save_path (str, optional): The save path of the synthesized audio. - None means do not save audio. Defaults to None. - + Returns: wav_base64: The base64 format of the synthesized audio. """ @@ -488,7 +479,7 @@ class PaddleTTSConnectionHandler: yield wav_base64 wav_all = np.concatenate(wav_list, axis=0) - duration = len(wav_all) / self.config.voc_sample_rate + duration = len(wav_all) / self.tts_engine.sample_rate logger.info(f"sentence: {sentence}") logger.info(f"The durations of audio is: {duration} s") logger.info(f"first response time: {self.first_response_time} s") @@ -496,4 +487,4 @@ class PaddleTTSConnectionHandler: logger.info(f"RTF: {self.final_response_time / duration}") logger.info( f"Other info: front time: {self.frontend_time} s, first am infer time: {self.first_am_infer} s, first voc infer time: {self.first_voc_infer} s," - ) + ) \ No newline at end of file diff --git a/paddlespeech/server/engine/tts/online/python/tts_engine.py b/paddlespeech/server/engine/tts/online/python/tts_engine.py index 2e8997e0f..f7c57fdab 100644 --- a/paddlespeech/server/engine/tts/online/python/tts_engine.py +++ b/paddlespeech/server/engine/tts/online/python/tts_engine.py @@ -276,6 +276,13 @@ class TTSEngine(BaseEngine): logger.error(e) return False + + assert ( + self.executor.am_config.fs == self.executor.voc_config.fs + ), "The sample rate of AM and Vocoder model are different, please check model." + + self.sample_rate = self.executor.am_config.fs + self.am_block = self.config.am_block self.am_pad = self.config.am_pad self.voc_block = self.config.voc_block @@ -458,33 +465,16 @@ class PaddleTTSConnectionHandler: ) self.final_response_time = time.time() - frontend_st - - def preprocess(self, text_bese64: str=None, text_bytes: bytes=None): - # Convert byte to text - if text_bese64: - text_bytes = base64.b64decode(text_bese64) # base64 to bytes - text = text_bytes.decode('utf-8') # bytes to text - - return text + def run(self, sentence: str, - spk_id: int=0, - speed: float=1.0, - volume: float=1.0, - sample_rate: int=0, - save_path: str=None): + spk_id: int=0,): """ run include inference and postprocess. Args: sentence (str): text to be synthesized spk_id (int, optional): speaker id for multi-speaker speech synthesis. Defaults to 0. - speed (float, optional): speed. Defaults to 1.0. - volume (float, optional): volume. Defaults to 1.0. - sample_rate (int, optional): target sample rate for synthesized audio, - 0 means the same as the model sampling rate. Defaults to 0. - save_path (str, optional): The save path of the synthesized audio. - None means do not save audio. Defaults to None. Returns: wav_base64: The base64 format of the synthesized audio. @@ -507,7 +497,7 @@ class PaddleTTSConnectionHandler: yield wav_base64 wav_all = np.concatenate(wav_list, axis=0) - duration = len(wav_all) / self.executor.am_config.fs + duration = len(wav_all) / self.tts_engine.sample_rate logger.info(f"sentence: {sentence}") logger.info(f"The durations of audio is: {duration} s") diff --git a/paddlespeech/server/utils/audio_handler.py b/paddlespeech/server/utils/audio_handler.py index e3d90d469..0f09069be 100644 --- a/paddlespeech/server/utils/audio_handler.py +++ b/paddlespeech/server/utils/audio_handler.py @@ -266,6 +266,12 @@ class TTSWsHandler: self.url = "ws://" + self.server + ":" + str( self.port) + "/paddlespeech/tts/streaming" self.play = play + + # get model sample rate + self.url_get_sr = "http://" + str(self.server) + ":" + str( + self.port) + "/paddlespeech/tts/streaming/samplerate" + self.sample_rate = requests.get(self.url_get_sr).json()["sample_rate"] + if self.play: import pyaudio self.buffer = b'' @@ -273,7 +279,7 @@ class TTSWsHandler: self.stream = self.p.open( format=self.p.get_format_from_width(2), channels=1, - rate=24000, + rate=self.sample_rate, output=True) self.mutex = threading.Lock() self.start_play = True @@ -293,12 +299,16 @@ class TTSWsHandler: self.buffer = b'' self.mutex.release() - async def run(self, text: str, output: str=None): + async def run(self, + text: str, + spk_id=0, + output: str=None): """Send a text to online server Args: text (str): sentence to be synthesized - output (str): save audio path + spk_id (int, optional): speaker id. Defaults to 0. + output (str, optional): client save audio path. Defaults to None. """ all_bytes = b'' receive_time_list = [] @@ -315,8 +325,13 @@ class TTSWsHandler: session = msg["session"] # 3. send speech synthesis request - text_base64 = str(base64.b64encode((text).encode('utf-8')), "UTF8") - request = json.dumps({"text": text_base64}) + #text_base64 = str(base64.b64encode((text).encode('utf-8')), "UTF8") + params = { + "text": text, + "spk_id": spk_id, + } + + request = json.dumps(params) st = time.time() await ws.send(request) logging.info("send a message to the server") @@ -341,10 +356,10 @@ class TTSWsHandler: # Rerutn last packet normally, no audio information elif status == 2: final_response = time.time() - st - duration = len(all_bytes) / 2.0 / 24000 + duration = len(all_bytes) / 2.0 / self.sample_rate if output is not None: - save_audio_success = save_audio(all_bytes, output) + save_audio_success = save_audio(all_bytes, output, self.sample_rate) else: save_audio_success = False @@ -362,7 +377,7 @@ class TTSWsHandler: receive_time_list.append(time.time()) audio = message["audio"] audio = base64.b64decode(audio) # bytes - chunk_duration_list.append(len(audio) / 2.0 / 24000) + chunk_duration_list.append(len(audio) / 2.0 / self.sample_rate) all_bytes += audio if self.play: self.mutex.acquire() @@ -403,19 +418,26 @@ class TTSHttpHandler: self.port) + "/paddlespeech/tts/streaming" self.play = play + # get model sample rate + self.url_get_sr = "http://" + str(self.server) + ":" + str( + self.port) + "/paddlespeech/tts/streaming/samplerate" + self.sample_rate = requests.get(self.url_get_sr).json()["sample_rate"] + if self.play: import pyaudio self.buffer = b'' self.p = pyaudio.PyAudio() + self.start_play = True + self.max_fail = 50 + self.stream = self.p.open( format=self.p.get_format_from_width(2), channels=1, - rate=24000, + rate=self.sample_rate, output=True) self.mutex = threading.Lock() - self.start_play = True self.t = threading.Thread(target=self.play_audio) - self.max_fail = 50 + logger.info(f"endpoint: {self.url}") def play_audio(self): @@ -433,28 +455,19 @@ class TTSHttpHandler: def run(self, text: str, spk_id=0, - speed=1.0, - volume=1.0, - sample_rate=0, output: str=None): """Send a text to tts online server Args: text (str): sentence to be synthesized. spk_id (int, optional): speaker id. Defaults to 0. - speed (float, optional): audio speed. Defaults to 1.0. - volume (float, optional): audio volume. Defaults to 1.0. - sample_rate (int, optional): audio sample rate, 0 means the same as model. Defaults to 0. - output (str, optional): save audio path. Defaults to None. + output (str, optional): client save audio path. Defaults to None. """ + # 1. Create request params = { "text": text, "spk_id": spk_id, - "speed": speed, - "volume": volume, - "sample_rate": sample_rate, - "save_path": output } all_bytes = b'' @@ -482,14 +495,14 @@ class TTSHttpHandler: self.t.start() self.start_play = False all_bytes += audio - chunk_duration_list.append(len(audio) / 2.0 / 24000) + chunk_duration_list.append(len(audio) / 2.0 / self.sample_rate) final_response = time.time() - st - duration = len(all_bytes) / 2.0 / 24000 + duration = len(all_bytes) / 2.0 / self.sample_rate html.close() # when stream=True if output is not None: - save_audio_success = save_audio(all_bytes, output) + save_audio_success = save_audio(all_bytes, output, self.sample_rate) else: save_audio_success = False diff --git a/paddlespeech/server/utils/onnx_infer.py b/paddlespeech/server/utils/onnx_infer.py index 1c9d878f8..087eb9c00 100644 --- a/paddlespeech/server/utils/onnx_infer.py +++ b/paddlespeech/server/utils/onnx_infer.py @@ -16,7 +16,7 @@ from typing import Optional import onnxruntime as ort -from .log import logger +from paddlespeech.cli.log import logger def get_sess(model_path: Optional[os.PathLike]=None, sess_conf: dict=None): From 6bbe6de1ecb198f58f2528465126722e0068bcdf Mon Sep 17 00:00:00 2001 From: TianYuan Date: Thu, 7 Jul 2022 07:26:43 +0000 Subject: [PATCH 073/192] add stream_play_tts.py, test=doc --- paddlespeech/t2s/exps/stream_play_tts.py | 181 +++++++++++++++++++++++ 1 file changed, 181 insertions(+) create mode 100644 paddlespeech/t2s/exps/stream_play_tts.py diff --git a/paddlespeech/t2s/exps/stream_play_tts.py b/paddlespeech/t2s/exps/stream_play_tts.py new file mode 100644 index 000000000..4dcf4794f --- /dev/null +++ b/paddlespeech/t2s/exps/stream_play_tts.py @@ -0,0 +1,181 @@ +# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# stream play TTS +# Before first execution, download and decompress the models in the execution directory +# wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_cnndecoder_csmsc_streaming_onnx_1.0.0.zip +# wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/mb_melgan/mb_melgan_csmsc_onnx_0.2.0.zip +# unzip fastspeech2_cnndecoder_csmsc_streaming_onnx_1.0.0.zip +# unzip mb_melgan_csmsc_onnx_0.2.0.zip +import math +import time + +import numpy as np +import onnxruntime as ort +import pyaudio +import soundfile as sf + +from paddlespeech.server.utils.audio_process import float2pcm +from paddlespeech.server.utils.util import denorm +from paddlespeech.server.utils.util import get_chunks +from paddlespeech.t2s.frontend.zh_frontend import Frontend + +voc_block = 36 +voc_pad = 14 +am_block = 72 +am_pad = 12 +voc_upsample = 300 + +phones_dict = "fastspeech2_cnndecoder_csmsc_streaming_onnx_1.0.0/phone_id_map.txt" +frontend = Frontend(phone_vocab_path=phones_dict, tone_vocab_path=None) + +am_stat_path = "fastspeech2_cnndecoder_csmsc_streaming_onnx_1.0.0/speech_stats.npy" +am_mu, am_std = np.load(am_stat_path) + +# 模型路径 +onnx_am_encoder = "fastspeech2_cnndecoder_csmsc_streaming_onnx_1.0.0/fastspeech2_csmsc_am_encoder_infer.onnx" +onnx_am_decoder = "fastspeech2_cnndecoder_csmsc_streaming_onnx_1.0.0/fastspeech2_csmsc_am_decoder.onnx" +onnx_am_postnet = "fastspeech2_cnndecoder_csmsc_streaming_onnx_1.0.0/fastspeech2_csmsc_am_postnet.onnx" +onnx_voc_melgan = "mb_melgan_csmsc_onnx_0.2.0/mb_melgan_csmsc.onnx" + +# 用CPU推理 +providers = ['CPUExecutionProvider'] + +# 配置ort session +sess_options = ort.SessionOptions() + +# 创建session +am_encoder_infer_sess = ort.InferenceSession( + onnx_am_encoder, providers=providers, sess_options=sess_options) +am_decoder_sess = ort.InferenceSession( + onnx_am_decoder, providers=providers, sess_options=sess_options) +am_postnet_sess = ort.InferenceSession( + onnx_am_postnet, providers=providers, sess_options=sess_options) +voc_melgan_sess = ort.InferenceSession( + onnx_voc_melgan, providers=providers, sess_options=sess_options) + + +def depadding(data, chunk_num, chunk_id, block, pad, upsample): + """ + Streaming inference removes the result of pad inference + """ + front_pad = min(chunk_id * block, pad) + # first chunk + if chunk_id == 0: + data = data[:block * upsample] + # last chunk + elif chunk_id == chunk_num - 1: + data = data[front_pad * upsample:] + # middle chunk + else: + data = data[front_pad * upsample:(front_pad + block) * upsample] + + return data + + +def inference_stream(text): + input_ids = frontend.get_input_ids( + text, merge_sentences=False, get_tone_ids=False) + phone_ids = input_ids["phone_ids"] + for i in range(len(phone_ids)): + part_phone_ids = phone_ids[i].numpy() + voc_chunk_id = 0 + + orig_hs = am_encoder_infer_sess.run( + None, input_feed={'text': part_phone_ids}) + orig_hs = orig_hs[0] + + # streaming voc chunk info + mel_len = orig_hs.shape[1] + voc_chunk_num = math.ceil(mel_len / voc_block) + start = 0 + end = min(voc_block + voc_pad, mel_len) + + # streaming am + hss = get_chunks(orig_hs, am_block, am_pad, "am") + am_chunk_num = len(hss) + for i, hs in enumerate(hss): + am_decoder_output = am_decoder_sess.run(None, input_feed={'xs': hs}) + am_postnet_output = am_postnet_sess.run( + None, + input_feed={ + 'xs': np.transpose(am_decoder_output[0], (0, 2, 1)) + }) + am_output_data = am_decoder_output + np.transpose( + am_postnet_output[0], (0, 2, 1)) + normalized_mel = am_output_data[0][0] + + sub_mel = denorm(normalized_mel, am_mu, am_std) + sub_mel = depadding(sub_mel, am_chunk_num, i, am_block, am_pad, 1) + + if i == 0: + mel_streaming = sub_mel + else: + mel_streaming = np.concatenate((mel_streaming, sub_mel), axis=0) + + # streaming voc + # 当流式AM推理的mel帧数大于流式voc推理的chunk size，开始进行流式voc 推理 + while (mel_streaming.shape[0] >= end and + voc_chunk_id < voc_chunk_num): + voc_chunk = mel_streaming[start:end, :] + + sub_wav = voc_melgan_sess.run( + output_names=None, input_feed={'logmel': voc_chunk}) + sub_wav = depadding(sub_wav[0], voc_chunk_num, voc_chunk_id, + voc_block, voc_pad, voc_upsample) + + yield sub_wav + + voc_chunk_id += 1 + start = max(0, voc_chunk_id * voc_block - voc_pad) + end = min((voc_chunk_id + 1) * voc_block + voc_pad, mel_len) + + +if __name__ == '__main__': + + text = "欢迎使用飞桨语音合成系统，测试一下合成效果。" + # warm up + # onnxruntime 第一次时间会长一些，建议先 warmup 一下 + for sub_wav in inference_stream(text="哈哈哈哈"): + continue + + # pyaudio 播放 + p = pyaudio.PyAudio() + stream = p.open( + format=p.get_format_from_width(2), # int16 + channels=1, + rate=24000, + output=True) + + # 计时 + wavs = [] + t1 = time.time() + for sub_wav in inference_stream(text): + print("响应时间：", time.time() - t1) + t1 = time.time() + wavs.append(sub_wav.flatten()) + # float32 to int16 + wav = float2pcm(sub_wav) + # to bytes + wav_bytes = wav.tobytes() + stream.write(wav_bytes) + + # 关闭 pyaudio 播放器 + stream.stop_stream() + stream.close() + p.terminate() + + # 流式合成的结果导出 + wav = np.concatenate(wavs) + print(wav.shape) + sf.write("demo_stream.wav", data=wav, samplerate=24000) From fb40602d94dd25dda92ed18df0129c42e195385f Mon Sep 17 00:00:00 2001 From: Hui Zhang Date: Fri, 8 Jul 2022 08:08:45 +0000 Subject: [PATCH 074/192] refactor attention cache --- paddlespeech/s2t/models/u2/u2.py | 47 ++++--- paddlespeech/s2t/modules/attention.py | 130 +++++++++++++++--- .../s2t/modules/conformer_convolution.py | 18 +-- paddlespeech/s2t/modules/decoder_layer.py | 8 +- paddlespeech/s2t/modules/embedding.py | 2 +- paddlespeech/s2t/modules/encoder.py | 115 ++++++++-------- paddlespeech/s2t/modules/encoder_layer.py | 119 ++++++++-------- setup.py | 4 +- 8 files changed, 267 insertions(+), 176 deletions(-) diff --git a/paddlespeech/s2t/models/u2/u2.py b/paddlespeech/s2t/models/u2/u2.py index 100aca18b..3af353600 100644 --- a/paddlespeech/s2t/models/u2/u2.py +++ b/paddlespeech/s2t/models/u2/u2.py @@ -605,29 +605,42 @@ class U2BaseModel(ASRInterface, nn.Layer): xs: paddle.Tensor, offset: int, required_cache_size: int, - subsampling_cache: Optional[paddle.Tensor]=None, - elayers_output_cache: Optional[List[paddle.Tensor]]=None, - conformer_cnn_cache: Optional[List[paddle.Tensor]]=None, - ) -> Tuple[paddle.Tensor, paddle.Tensor, List[paddle.Tensor], List[ - paddle.Tensor]]: + att_cache: paddle.Tensor = paddle.zeros([0, 0, 0, 0]), + cnn_cache: paddle.Tensor = paddle.zeros([0, 0, 0, 0]), + ) -> Tuple[paddle.Tensor, paddle.Tensor, paddle.Tensor]: """ Export interface for c++ call, give input chunk xs, and return output from time 0 to current chunk. + Args: - xs (paddle.Tensor): chunk input - subsampling_cache (Optional[paddle.Tensor]): subsampling cache - elayers_output_cache (Optional[List[paddle.Tensor]]): - transformer/conformer encoder layers output cache - conformer_cnn_cache (Optional[List[paddle.Tensor]]): conformer - cnn cache + xs (paddle.Tensor): chunk input, with shape (b=1, time, mel-dim), + where `time == (chunk_size - 1) * subsample_rate + \ + subsample.right_context + 1` + offset (int): current offset in encoder output time stamp + required_cache_size (int): cache size required for next chunk + compuation + >=0: actual cache size + <0: means all history cache is required + att_cache (paddle.Tensor): cache tensor for KEY & VALUE in + transformer/conformer attention, with shape + (elayers, head, cache_t1, d_k * 2), where + `head * d_k == hidden-dim` and + `cache_t1 == chunk_size * num_decoding_left_chunks`. + `d_k * 2` for att key & value. + cnn_cache (paddle.Tensor): cache tensor for cnn_module in conformer, + (elayers, b=1, hidden-dim, cache_t2), where + `cache_t2 == cnn.lorder - 1` + Returns: - paddle.Tensor: output, it ranges from time 0 to current chunk. - paddle.Tensor: subsampling cache - List[paddle.Tensor]: attention cache - List[paddle.Tensor]: conformer cnn cache + paddle.Tensor: output of current input xs, + with shape (b=1, chunk_size, hidden-dim). + paddle.Tensor: new attention cache required for next chunk, with + dynamic shape (elayers, head, T(?), d_k * 2) + depending on required_cache_size. + paddle.Tensor: new conformer cnn cache required for next chunk, with + same shape as the original cnn_cache. """ return self.encoder.forward_chunk( - xs, offset, required_cache_size, subsampling_cache, - elayers_output_cache, conformer_cnn_cache) + xs, offset, required_cache_size, att_cache, cnn_cache) # @jit.to_static def ctc_activation(self, xs: paddle.Tensor) -> paddle.Tensor: diff --git a/paddlespeech/s2t/modules/attention.py b/paddlespeech/s2t/modules/attention.py index 438efd2a1..c0b76f08e 100644 --- a/paddlespeech/s2t/modules/attention.py +++ b/paddlespeech/s2t/modules/attention.py @@ -84,9 +84,10 @@ class MultiHeadedAttention(nn.Layer): return q, k, v def forward_attention(self, - value: paddle.Tensor, - scores: paddle.Tensor, - mask: Optional[paddle.Tensor]) -> paddle.Tensor: + value: paddle.Tensor, + scores: paddle.Tensor, + mask: paddle.Tensor = paddle.ones([0, 0, 0], dtype=paddle.bool), + ) -> paddle.Tensor: """Compute attention context vector. Args: value (paddle.Tensor): Transformed value, size @@ -94,14 +95,23 @@ class MultiHeadedAttention(nn.Layer): scores (paddle.Tensor): Attention score, size (#batch, n_head, time1, time2). mask (paddle.Tensor): Mask, size (#batch, 1, time2) or - (#batch, time1, time2). + (#batch, time1, time2), (0, 0, 0) means fake mask. Returns: - paddle.Tensor: Transformed value weighted - by the attention score, (#batch, time1, d_model). + paddle.Tensor: Transformed value (#batch, time1, d_model) + weighted by the attention score (#batch, time1, time2). """ n_batch = value.shape[0] - if mask is not None: + + # When `if mask.size(2) > 0` be True: + # 1. training. + # 2. oonx(16/4, chunk_size/history_size), feed real cache and real mask for the 1st chunk. + # When will `if mask.size(2) > 0` be False? + # 1. onnx(16/-1, -1/-1, 16/0) + # 2. jit (16/-1, -1/-1, 16/0, 16/4) + if paddle.shape(mask)[2] > 0: # time2 > 0 mask = mask.unsqueeze(1).eq(0) # (batch, 1, *, time2) + # for last chunk, time2 might be larger than scores.size(-1) + mask = mask[:, :, :, :paddle.shape(scores)[-1]] scores = scores.masked_fill(mask, -float('inf')) attn = paddle.softmax( scores, axis=-1).masked_fill(mask, @@ -121,21 +131,67 @@ class MultiHeadedAttention(nn.Layer): query: paddle.Tensor, key: paddle.Tensor, value: paddle.Tensor, - mask: Optional[paddle.Tensor]) -> paddle.Tensor: + mask: paddle.Tensor = paddle.ones([0,0,0], dtype=paddle.bool), + pos_emb: paddle.Tensor = paddle.empty([0]), + cache: paddle.Tensor = paddle.zeros([0,0,0,0]) + ) -> Tuple[paddle.Tensor, paddle.Tensor]: """Compute scaled dot product attention. - Args: - query (torch.Tensor): Query tensor (#batch, time1, size). - key (torch.Tensor): Key tensor (#batch, time2, size). - value (torch.Tensor): Value tensor (#batch, time2, size). - mask (torch.Tensor): Mask tensor (#batch, 1, time2) or + Args: + query (paddle.Tensor): Query tensor (#batch, time1, size). + key (paddle.Tensor): Key tensor (#batch, time2, size). + value (paddle.Tensor): Value tensor (#batch, time2, size). + mask (paddle.Tensor): Mask tensor (#batch, 1, time2) or (#batch, time1, time2). + 1.When applying cross attention between decoder and encoder, + the batch padding mask for input is in (#batch, 1, T) shape. + 2.When applying self attention of encoder, + the mask is in (#batch, T, T) shape. + 3.When applying self attention of decoder, + the mask is in (#batch, L, L) shape. + 4.If the different position in decoder see different block + of the encoder, such as Mocha, the passed in mask could be + in (#batch, L, T) shape. But there is no such case in current + Wenet. + cache (paddle.Tensor): Cache tensor (1, head, cache_t, d_k * 2), + where `cache_t == chunk_size * num_decoding_left_chunks` + and `head * d_k == size` Returns: - torch.Tensor: Output tensor (#batch, time1, d_model). + paddle.Tensor: Output tensor (#batch, time1, d_model). + paddle.Tensor: Cache tensor (1, head, cache_t + time1, d_k * 2) + where `cache_t == chunk_size * num_decoding_left_chunks` + and `head * d_k == size` + """ q, k, v = self.forward_qkv(query, key, value) + + # when export onnx model, for 1st chunk, we feed + # cache(1, head, 0, d_k * 2) (16/-1, -1/-1, 16/0 mode) + # or cache(1, head, real_cache_t, d_k * 2) (16/4 mode). + # In all modes, `if cache.size(0) > 0` will alwayse be `True` + # and we will always do splitting and + # concatnation(this will simplify onnx export). Note that + # it's OK to concat & split zero-shaped tensors(see code below). + # when export jit model, for 1st chunk, we always feed + # cache(0, 0, 0, 0) since jit supports dynamic if-branch. + # >>> a = torch.ones((1, 2, 0, 4)) + # >>> b = torch.ones((1, 2, 3, 4)) + # >>> c = torch.cat((a, b), dim=2) + # >>> torch.equal(b, c) # True + # >>> d = torch.split(a, 2, dim=-1) + # >>> torch.equal(d[0], d[1]) # True + if paddle.shape(cache)[0] > 0: + # last dim `d_k * 2` for (key, val) + key_cache, value_cache = paddle.split( + cache, paddle.shape(cache)[-1] // 2, axis=-1) + k = paddle.concat([key_cache, k], axis=2) + v = paddle.concat([value_cache, v], axis=2) + # We do cache slicing in encoder.forward_chunk, since it's + # non-trivial to calculate `next_cache_start` here. + new_cache = paddle.concat((k, v), axis=-1) + scores = paddle.matmul(q, k.transpose([0, 1, 3, 2])) / math.sqrt(self.d_k) - return self.forward_attention(v, scores, mask) + return self.forward_attention(v, scores, mask), new_cache class RelPositionMultiHeadedAttention(MultiHeadedAttention): @@ -192,23 +248,55 @@ class RelPositionMultiHeadedAttention(MultiHeadedAttention): query: paddle.Tensor, key: paddle.Tensor, value: paddle.Tensor, - pos_emb: paddle.Tensor, - mask: Optional[paddle.Tensor]): + mask: paddle.Tensor = paddle.ones([0,0,0], dtype=paddle.bool), + pos_emb: paddle.Tensor = paddle.empty([0]), + cache: paddle.Tensor = paddle.zeros([0,0,0,0]) + ) -> Tuple[paddle.Tensor, paddle.Tensor]: """Compute 'Scaled Dot Product Attention' with rel. positional encoding. Args: query (paddle.Tensor): Query tensor (#batch, time1, size). key (paddle.Tensor): Key tensor (#batch, time2, size). value (paddle.Tensor): Value tensor (#batch, time2, size). - pos_emb (paddle.Tensor): Positional embedding tensor - (#batch, time1, size). mask (paddle.Tensor): Mask tensor (#batch, 1, time2) or - (#batch, time1, time2). + (#batch, time1, time2), (0, 0, 0) means fake mask. + pos_emb (paddle.Tensor): Positional embedding tensor + (#batch, time2, size). + cache (paddle.Tensor): Cache tensor (1, head, cache_t, d_k * 2), + where `cache_t == chunk_size * num_decoding_left_chunks` + and `head * d_k == size` Returns: paddle.Tensor: Output tensor (#batch, time1, d_model). + paddle.Tensor: Cache tensor (1, head, cache_t + time1, d_k * 2) + where `cache_t == chunk_size * num_decoding_left_chunks` + and `head * d_k == size` """ q, k, v = self.forward_qkv(query, key, value) q = q.transpose([0, 2, 1, 3]) # (batch, time1, head, d_k) + # when export onnx model, for 1st chunk, we feed + # cache(1, head, 0, d_k * 2) (16/-1, -1/-1, 16/0 mode) + # or cache(1, head, real_cache_t, d_k * 2) (16/4 mode). + # In all modes, `if cache.size(0) > 0` will alwayse be `True` + # and we will always do splitting and + # concatnation(this will simplify onnx export). Note that + # it's OK to concat & split zero-shaped tensors(see code below). + # when export jit model, for 1st chunk, we always feed + # cache(0, 0, 0, 0) since jit supports dynamic if-branch. + # >>> a = torch.ones((1, 2, 0, 4)) + # >>> b = torch.ones((1, 2, 3, 4)) + # >>> c = torch.cat((a, b), dim=2) + # >>> torch.equal(b, c) # True + # >>> d = torch.split(a, 2, dim=-1) + # >>> torch.equal(d[0], d[1]) # True + if paddle.shape(cache)[0] > 0: + key_cache, value_cache = paddle.split( + cache, paddle.shape(cache)[-1] // 2, axis=-1) + k = paddle.concat([key_cache, k], axis=2) + v = paddle.concat([value_cache, v], axis=2) + # We do cache slicing in encoder.forward_chunk, since it's + # non-trivial to calculate `next_cache_start` here. + new_cache = paddle.concat((k, v), axis=-1) + n_batch_pos = pos_emb.shape[0] p = self.linear_pos(pos_emb).view(n_batch_pos, -1, self.h, self.d_k) p = p.transpose([0, 2, 1, 3]) # (batch, head, time1, d_k) @@ -234,4 +322,4 @@ class RelPositionMultiHeadedAttention(MultiHeadedAttention): scores = (matrix_ac + matrix_bd) / math.sqrt( self.d_k) # (batch, head, time1, time2) - return self.forward_attention(v, scores, mask) + return self.forward_attention(v, scores, mask), new_cache \ No newline at end of file diff --git a/paddlespeech/s2t/modules/conformer_convolution.py b/paddlespeech/s2t/modules/conformer_convolution.py index 89e652688..c384b9c78 100644 --- a/paddlespeech/s2t/modules/conformer_convolution.py +++ b/paddlespeech/s2t/modules/conformer_convolution.py @@ -108,15 +108,17 @@ class ConvolutionModule(nn.Layer): def forward(self, x: paddle.Tensor, - mask_pad: Optional[paddle.Tensor]=None, - cache: Optional[paddle.Tensor]=None + mask_pad: paddle.Tensor= paddle.ones([0,0,0], dtype=paddle.bool), + cache: paddle.Tensor= paddle.zeros([0,0,0]), ) -> Tuple[paddle.Tensor, paddle.Tensor]: """Compute convolution module. Args: x (paddle.Tensor): Input tensor (#batch, time, channels). - mask_pad (paddle.Tensor): used for batch padding, (#batch, channels, time). + mask_pad (paddle.Tensor): used for batch padding (#batch, 1, time), + (0, 0, 0) means fake mask. cache (paddle.Tensor): left context cache, it is only - used in causal convolution. (#batch, channels, time') + used in causal convolution (#batch, channels, cache_t), + (0, 0, 0) meas fake cache. Returns: paddle.Tensor: Output tensor (#batch, time, channels). paddle.Tensor: Output cache tensor (#batch, channels, time') @@ -125,11 +127,11 @@ class ConvolutionModule(nn.Layer): x = x.transpose([0, 2, 1]) # [B, C, T] # mask batch padding - if mask_pad is not None: + if paddle.shape(mask_pad)[2] > 0: # time > 0 x = x.masked_fill(mask_pad, 0.0) if self.lorder > 0: - if cache is None: + if paddle.shape(cache)[2] == 0: # cache_t == 0 x = nn.functional.pad( x, [self.lorder, 0], 'constant', 0.0, data_format='NCL') else: @@ -143,7 +145,7 @@ class ConvolutionModule(nn.Layer): # It's better we just return None if no cache is requried, # However, for JIT export, here we just fake one tensor instead of # None. - new_cache = paddle.zeros([1], dtype=x.dtype) + new_cache = paddle.zeros([0, 0, 0], dtype=x.dtype) # GLU mechanism x = self.pointwise_conv1(x) # (batch, 2*channel, dim) @@ -159,7 +161,7 @@ class ConvolutionModule(nn.Layer): x = self.pointwise_conv2(x) # mask batch padding - if mask_pad is not None: + if paddle.shape(mask_pad)[2] > 0: # time > 0 x = x.masked_fill(mask_pad, 0.0) x = x.transpose([0, 2, 1]) # [B, T, C] diff --git a/paddlespeech/s2t/modules/decoder_layer.py b/paddlespeech/s2t/modules/decoder_layer.py index b7f8694c1..37b124e84 100644 --- a/paddlespeech/s2t/modules/decoder_layer.py +++ b/paddlespeech/s2t/modules/decoder_layer.py @@ -121,11 +121,11 @@ class DecoderLayer(nn.Layer): if self.concat_after: tgt_concat = paddle.cat( - (tgt_q, self.self_attn(tgt_q, tgt, tgt, tgt_q_mask)), dim=-1) + (tgt_q, self.self_attn(tgt_q, tgt, tgt, tgt_q_mask)[0]), dim=-1) x = residual + self.concat_linear1(tgt_concat) else: x = residual + self.dropout( - self.self_attn(tgt_q, tgt, tgt, tgt_q_mask)) + self.self_attn(tgt_q, tgt, tgt, tgt_q_mask)[0]) if not self.normalize_before: x = self.norm1(x) @@ -134,11 +134,11 @@ class DecoderLayer(nn.Layer): x = self.norm2(x) if self.concat_after: x_concat = paddle.cat( - (x, self.src_attn(x, memory, memory, memory_mask)), dim=-1) + (x, self.src_attn(x, memory, memory, memory_mask)[0]), dim=-1) x = residual + self.concat_linear2(x_concat) else: x = residual + self.dropout( - self.src_attn(x, memory, memory, memory_mask)) + self.src_attn(x, memory, memory, memory_mask)[0]) if not self.normalize_before: x = self.norm2(x) diff --git a/paddlespeech/s2t/modules/embedding.py b/paddlespeech/s2t/modules/embedding.py index 51e558eb8..3aeebd29b 100644 --- a/paddlespeech/s2t/modules/embedding.py +++ b/paddlespeech/s2t/modules/embedding.py @@ -131,7 +131,7 @@ class PositionalEncoding(nn.Layer, PositionalEncodingInterface): offset (int): start offset size (int): requried size of position encoding Returns: - paddle.Tensor: Corresponding position encoding + paddle.Tensor: Corresponding position encoding, #[1, T, D]. """ assert offset + size < self.max_len return self.dropout(self.pe[:, offset:offset + size]) diff --git a/paddlespeech/s2t/modules/encoder.py b/paddlespeech/s2t/modules/encoder.py index 4d31acf1a..e05d0cc45 100644 --- a/paddlespeech/s2t/modules/encoder.py +++ b/paddlespeech/s2t/modules/encoder.py @@ -177,7 +177,7 @@ class BaseEncoder(nn.Layer): decoding_chunk_size, self.static_chunk_size, num_decoding_left_chunks) for layer in self.encoders: - xs, chunk_masks, _ = layer(xs, chunk_masks, pos_emb, mask_pad) + xs, chunk_masks, _, _ = layer(xs, chunk_masks, pos_emb, mask_pad) if self.normalize_before: xs = self.after_norm(xs) # Here we assume the mask is not changed in encoder layers, so just @@ -190,30 +190,31 @@ class BaseEncoder(nn.Layer): xs: paddle.Tensor, offset: int, required_cache_size: int, - subsampling_cache: Optional[paddle.Tensor]=None, - elayers_output_cache: Optional[List[paddle.Tensor]]=None, - conformer_cnn_cache: Optional[List[paddle.Tensor]]=None, - ) -> Tuple[paddle.Tensor, paddle.Tensor, List[paddle.Tensor], List[ - paddle.Tensor]]: + att_cache: paddle.Tensor = paddle.zeros([0,0,0,0]), + cnn_cache: paddle.Tensor = paddle.zeros([0,0,0,0]), + att_mask: paddle.Tensor = paddle.ones([0,0,0], dtype=paddle.bool), + ) -> Tuple[paddle.Tensor, paddle.Tensor, paddle.Tensor]: """ Forward just one chunk Args: - xs (paddle.Tensor): chunk input, [B=1, T, D] + xs (paddle.Tensor): chunk audio feat input, [B=1, T, D], where + `T==(chunk_size-1)*subsampling_rate + subsample.right_context + 1` offset (int): current offset in encoder output time stamp required_cache_size (int): cache size required for next chunk compuation >=0: actual cache size <0: means all history cache is required - subsampling_cache (Optional[paddle.Tensor]): subsampling cache - elayers_output_cache (Optional[List[paddle.Tensor]]): - transformer/conformer encoder layers output cache - conformer_cnn_cache (Optional[List[paddle.Tensor]]): conformer - cnn cache + att_cache(paddle.Tensor): cache tensor for key & val in + transformer/conformer attention. Shape is + (elayers, head, cache_t1, d_k * 2), where`head * d_k == hidden-dim` + and `cache_t1 == chunk_size * num_decoding_left_chunks`. + cnn_cache (paddle.Tensor): cache tensor for cnn_module in conformer, + (elayers, B=1, hidden-dim, cache_t2), where `cache_t2 == cnn.lorder - 1` Returns: - paddle.Tensor: output of current input xs - paddle.Tensor: subsampling cache required for next chunk computation - List[paddle.Tensor]: encoder layers output cache required for next - chunk computation - List[paddle.Tensor]: conformer cnn cache + paddle.Tensor: output of current input xs, (B=1, chunk_size, hidden-dim) + paddle.Tensor: new attention cache required for next chunk, dyanmic shape + (elayers, head, T, d_k*2) depending on required_cache_size + paddle.Tensor: new conformer cnn cache required for next chunk, with + same shape as the original cnn_cache """ assert xs.shape[0] == 1 # batch size must be one # tmp_masks is just for interface compatibility @@ -225,50 +226,49 @@ class BaseEncoder(nn.Layer): if self.global_cmvn is not None: xs = self.global_cmvn(xs) - xs, pos_emb, _ = self.embed( - xs, tmp_masks, offset=offset) #xs=(B, T, D), pos_emb=(B=1, T, D) + # before embed, xs=(B, T, D1), pos_emb=(B=1, T, D) + xs, pos_emb, _ = self.embed(xs, tmp_masks, offset=offset) + # after embed, xs=(B=1, chunk_size, hidden-dim) - if subsampling_cache is not None: - cache_size = subsampling_cache.shape[1] #T - xs = paddle.cat((subsampling_cache, xs), dim=1) - else: - cache_size = 0 + elayers, cache_t1 = paddle.shape(att_cache)[0], paddle.shape(att_cache)[2] + chunk_size = paddle.shape(xs)[1] + attention_key_size = cache_t1 + chunk_size # only used when using `RelPositionMultiHeadedAttention` pos_emb = self.embed.position_encoding( - offset=offset - cache_size, size=xs.shape[1]) + offset=offset - cache_t1, size=attention_key_size) if required_cache_size < 0: next_cache_start = 0 elif required_cache_size == 0: - next_cache_start = xs.shape[1] + next_cache_start = attention_key_size else: - next_cache_start = xs.shape[1] - required_cache_size - r_subsampling_cache = xs[:, next_cache_start:, :] - - # Real mask for transformer/conformer layers - masks = paddle.ones([1, xs.shape[1]], dtype=paddle.bool) - masks = masks.unsqueeze(1) #[B=1, L'=1, T] - r_elayers_output_cache = [] - r_conformer_cnn_cache = [] + next_cache_start = max(attention_key_size - required_cache_size, 0) + + r_att_cache = [] + r_cnn_cache = [] for i, layer in enumerate(self.encoders): - attn_cache = None if elayers_output_cache is None else elayers_output_cache[ - i] - cnn_cache = None if conformer_cnn_cache is None else conformer_cnn_cache[ - i] - xs, _, new_cnn_cache = layer( - xs, - masks, - pos_emb, - output_cache=attn_cache, - cnn_cache=cnn_cache) - r_elayers_output_cache.append(xs[:, next_cache_start:, :]) - r_conformer_cnn_cache.append(new_cnn_cache) + # att_cache[i:i+1] = (1, head, cache_t1, d_k*2) + # cnn_cache[i] = (B=1, hidden-dim, cache_t2) + xs, _, new_att_cache, new_cnn_cache = layer( + xs, att_mask, pos_emb, + att_cache=att_cache[i:i+1] if elayers > 0 else att_cache, + cnn_cache=cnn_cache[i] if paddle.shape(cnn_cache)[0] > 0 else cnn_cache, + ) + # new_att_cache = (1, head, attention_key_size, d_k*2) + # new_cnn_cache = (B=1, hidden-dim, cache_t2) + r_att_cache.append(new_att_cache[:,:, next_cache_start:, :]) + r_cnn_cache.append(new_cnn_cache.unsqueeze(0)) # add elayer dim + if self.normalize_before: xs = self.after_norm(xs) - return (xs[:, cache_size:, :], r_subsampling_cache, - r_elayers_output_cache, r_conformer_cnn_cache) + # r_att_cache (elayers, head, T, d_k*2) + # r_cnn_cache （elayers, B=1, hidden-dim, cache_t2) + r_att_cache = paddle.concat(r_att_cache, axis=0) + r_cnn_cache = paddle.concat(r_cnn_cache, axis=0) + return xs, r_att_cache, r_cnn_cache + def forward_chunk_by_chunk( self, @@ -313,25 +313,24 @@ class BaseEncoder(nn.Layer): num_frames = xs.shape[1] required_cache_size = decoding_chunk_size * num_decoding_left_chunks - subsampling_cache: Optional[paddle.Tensor] = None - elayers_output_cache: Optional[List[paddle.Tensor]] = None - conformer_cnn_cache: Optional[List[paddle.Tensor]] = None + + att_cache: paddle.Tensor = paddle.zeros([0,0,0,0]) + cnn_cache: paddle.Tensor = paddle.zeros([0,0,0,0]) + outputs = [] offset = 0 # Feed forward overlap input step by step for cur in range(0, num_frames - context + 1, stride): end = min(cur + decoding_window, num_frames) chunk_xs = xs[:, cur:end, :] - (y, subsampling_cache, elayers_output_cache, - conformer_cnn_cache) = self.forward_chunk( - chunk_xs, offset, required_cache_size, subsampling_cache, - elayers_output_cache, conformer_cnn_cache) + + (y, att_cache, cnn_cache) = self.forward_chunk( + chunk_xs, offset, required_cache_size, att_cache, cnn_cache) + outputs.append(y) offset += y.shape[1] ys = paddle.cat(outputs, 1) - # fake mask, just for jit script and compatibility with `forward` api - masks = paddle.ones([1, ys.shape[1]], dtype=paddle.bool) - masks = masks.unsqueeze(1) + masks = paddle.ones([1, 1, ys.shape[1]], dtype=paddle.bool) return ys, masks diff --git a/paddlespeech/s2t/modules/encoder_layer.py b/paddlespeech/s2t/modules/encoder_layer.py index e80a298d6..d91e3f6ef 100644 --- a/paddlespeech/s2t/modules/encoder_layer.py +++ b/paddlespeech/s2t/modules/encoder_layer.py @@ -75,49 +75,45 @@ class TransformerEncoderLayer(nn.Layer): self, x: paddle.Tensor, mask: paddle.Tensor, - pos_emb: Optional[paddle.Tensor]=None, - mask_pad: Optional[paddle.Tensor]=None, - output_cache: Optional[paddle.Tensor]=None, - cnn_cache: Optional[paddle.Tensor]=None, - ) -> Tuple[paddle.Tensor, paddle.Tensor, paddle.Tensor]: + pos_emb: paddle.Tensor, + mask_pad: paddle.Tensor= paddle.ones([0,0,0], dtype=paddle.bool), + att_cache: paddle.Tensor=paddle.zeros([0,0,0,0]), + cnn_cache: paddle.Tensor=paddle.zeros([0,0,0,0]), + ) -> Tuple[paddle.Tensor, paddle.Tensor, paddle.Tensor, paddle.Tensor]: """Compute encoded features. Args: - x (paddle.Tensor): Input tensor (#batch, time, size). - mask (paddle.Tensor): Mask tensor for the input (#batch, time). + x (paddle.Tensor): (#batch, time, size) + mask (paddle.Tensor): Mask tensor for the input (#batch, time，time), + (0, 0, 0) means fake mask. pos_emb (paddle.Tensor): just for interface compatibility to ConformerEncoderLayer - mask_pad (paddle.Tensor): not used here, it's for interface - compatibility to ConformerEncoderLayer - output_cache (paddle.Tensor): Cache tensor of the output - (#batch, time2, size), time2 < time in x. - cnn_cache (paddle.Tensor): not used here, it's for interface - compatibility to ConformerEncoderLayer + mask_pad (paddle.Tensor): does not used in transformer layer, + just for unified api with conformer. + att_cache (paddle.Tensor): Cache tensor of the KEY & VALUE + (#batch=1, head, cache_t1, d_k * 2), head * d_k == size. + cnn_cache (paddle.Tensor): Convolution cache in conformer layer + (#batch=1, size, cache_t2), not used here, it's for interface + compatibility to ConformerEncoderLayer. Returns: paddle.Tensor: Output tensor (#batch, time, size). - paddle.Tensor: Mask tensor (#batch, time). - paddle.Tensor: Fake cnn cache tensor for api compatibility with Conformer (#batch, channels, time'). + paddle.Tensor: Mask tensor (#batch, time, time). + paddle.Tensor: att_cache tensor, + (#batch=1, head, cache_t1 + time, d_k * 2). + paddle.Tensor: cnn_cahce tensor (#batch=1, size, cache_t2). """ residual = x if self.normalize_before: x = self.norm1(x) - if output_cache is None: - x_q = x - else: - assert output_cache.shape[0] == x.shape[0] - assert output_cache.shape[1] < x.shape[1] - assert output_cache.shape[2] == self.size - chunk = x.shape[1] - output_cache.shape[1] - x_q = x[:, -chunk:, :] - residual = residual[:, -chunk:, :] - mask = mask[:, -chunk:, :] + x_att, new_att_cache = self.self_attn( + x, x, x, mask, cache=att_cache + ) if self.concat_after: - x_concat = paddle.concat( - (x, self.self_attn(x_q, x, x, mask)), axis=-1) + x_concat = paddle.concat((x, x_att), axis=-1) x = residual + self.concat_linear(x_concat) else: - x = residual + self.dropout(self.self_attn(x_q, x, x, mask)) + x = residual + self.dropout(x_att) if not self.normalize_before: x = self.norm1(x) @@ -128,11 +124,8 @@ class TransformerEncoderLayer(nn.Layer): if not self.normalize_before: x = self.norm2(x) - if output_cache is not None: - x = paddle.concat([output_cache, x], axis=1) - - fake_cnn_cache = paddle.zeros([1], dtype=x.dtype) - return x, mask, fake_cnn_cache + fake_cnn_cache = paddle.zeros([0,0,0], dtype=x.dtype) + return x, mask, new_att_cache, fake_cnn_cache class ConformerEncoderLayer(nn.Layer): @@ -192,32 +185,41 @@ class ConformerEncoderLayer(nn.Layer): self.size = size self.normalize_before = normalize_before self.concat_after = concat_after - self.concat_linear = Linear(size + size, size) + if self.concat_after: + self.concat_linear = Linear(size + size, size) + else: + self.concat_linear = nn.Identity() def forward( self, x: paddle.Tensor, mask: paddle.Tensor, pos_emb: paddle.Tensor, - mask_pad: Optional[paddle.Tensor]=None, - output_cache: Optional[paddle.Tensor]=None, - cnn_cache: Optional[paddle.Tensor]=None, - ) -> Tuple[paddle.Tensor, paddle.Tensor, paddle.Tensor]: + mask_pad: paddle.Tensor= paddle.ones([0,0,0], dtype=paddle.bool), + att_cache: paddle.Tensor=paddle.zeros([0,0,0,0]), + cnn_cache: paddle.Tensor=paddle.zeros([0,0,0,0]), + ) -> Tuple[paddle.Tensor, paddle.Tensor, paddle.Tensor, paddle.Tensor]: """Compute encoded features. Args: - x (paddle.Tensor): (#batch, time, size) - mask (paddle.Tensor): Mask tensor for the input (#batch, time，time). - pos_emb (paddle.Tensor): positional encoding, must not be None - for ConformerEncoderLayer. - mask_pad (paddle.Tensor): batch padding mask used for conv module, (B, 1, T). - output_cache (paddle.Tensor): Cache tensor of the encoder output - (#batch, time2, size), time2 < time in x. + x (paddle.Tensor): Input tensor (#batch, time, size). + mask (paddle.Tensor): Mask tensor for the input (#batch, time, time). + (0,0,0) means fake mask. + pos_emb (paddle.Tensor): postional encoding, must not be None + for ConformerEncoderLayer + mask_pad (paddle.Tensor): batch padding mask used for conv module. + (#batch, 1，time), (0, 0, 0) means fake mask. + att_cache (paddle.Tensor): Cache tensor of the KEY & VALUE + (#batch=1, head, cache_t1, d_k * 2), head * d_k == size. cnn_cache (paddle.Tensor): Convolution cache in conformer layer + (#batch=1, size, cache_t2) Returns: - paddle.Tensor: Output tensor (#batch, time, size). - paddle.Tensor: Mask tensor (#batch, time). - paddle.Tensor: New cnn cache tensor (#batch, channels, time'). + paddle.Tensor: Output tensor (#batch, time, size). + paddle.Tensor: Mask tensor (#batch, time, time). + paddle.Tensor: att_cache tensor, + (#batch=1, head, cache_t1 + time, d_k * 2). + paddle.Tensor: cnn_cahce tensor (#batch, size, cache_t2). """ + # whether to use macaron style FFN if self.feed_forward_macaron is not None: residual = x @@ -233,18 +235,8 @@ class ConformerEncoderLayer(nn.Layer): if self.normalize_before: x = self.norm_mha(x) - if output_cache is None: - x_q = x - else: - assert output_cache.shape[0] == x.shape[0] - assert output_cache.shape[1] < x.shape[1] - assert output_cache.shape[2] == self.size - chunk = x.shape[1] - output_cache.shape[1] - x_q = x[:, -chunk:, :] - residual = residual[:, -chunk:, :] - mask = mask[:, -chunk:, :] - - x_att = self.self_attn(x_q, x, x, pos_emb, mask) + x_att, new_att_cache = self.self_attn( + x, x, x, mask, pos_emb, cache=att_cache) if self.concat_after: x_concat = paddle.concat((x, x_att), axis=-1) @@ -257,7 +249,7 @@ class ConformerEncoderLayer(nn.Layer): # convolution module # Fake new cnn cache here, and then change it in conv_module - new_cnn_cache = paddle.zeros([1], dtype=x.dtype) + new_cnn_cache = paddle.zeros([0,0,0], dtype=x.dtype) if self.conv_module is not None: residual = x if self.normalize_before: @@ -282,7 +274,4 @@ class ConformerEncoderLayer(nn.Layer): if self.conv_module is not None: x = self.norm_final(x) - if output_cache is not None: - x = paddle.concat([output_cache, x], axis=1) - - return x, mask, new_cnn_cache + return x, mask, new_att_cache, new_cnn_cache \ No newline at end of file diff --git a/setup.py b/setup.py index a3ef753a0..63e571b9e 100644 --- a/setup.py +++ b/setup.py @@ -71,7 +71,8 @@ base = [ "colorlog", "pathos == 0.2.8", "braceexpand", - "pyyaml" + "pyyaml", + "pybind11", ] server = [ @@ -90,7 +91,6 @@ requirements = { "gpustat", "paddlespeech_ctcdecoders", "phkit", - "pybind11", "pypi-kenlm", "snakeviz", "sox", From 5ca05fea20600a9949e680be62d31d5b614e911d Mon Sep 17 00:00:00 2001 From: Hui Zhang Date: Fri, 8 Jul 2022 08:28:50 +0000 Subject: [PATCH 075/192] cli batch process support \t --- paddlespeech/cli/asr/infer.py | 2 +- paddlespeech/cli/executor.py | 14 ++++++++------ 2 files changed, 9 insertions(+), 7 deletions(-) diff --git a/paddlespeech/cli/asr/infer.py b/paddlespeech/cli/asr/infer.py index 76dfafb92..f9b4439ec 100644 --- a/paddlespeech/cli/asr/infer.py +++ b/paddlespeech/cli/asr/infer.py @@ -365,7 +365,7 @@ class ASRExecutor(BaseExecutor): except Exception as e: logger.exception(e) logger.error( - "can not open the audio file, please check the audio file format is 'wav'. \n \ + f"can not open the audio file, please check the audio file({audio_file}) format is 'wav'. \n \ you can try to use sox to change the file format.\n \ For example: \n \ sample rate: 16k \n \ diff --git a/paddlespeech/cli/executor.py b/paddlespeech/cli/executor.py index d4187a514..3800c36db 100644 --- a/paddlespeech/cli/executor.py +++ b/paddlespeech/cli/executor.py @@ -108,19 +108,20 @@ class BaseExecutor(ABC): Dict[str, Union[str, os.PathLike]]: A dict with ids and inputs. """ if self._is_job_input(input_): + # .job/.scp/.txt file ret = self._get_job_contents(input_) else: + # job from stdin ret = OrderedDict() - if input_ is None: # Take input from stdin if not sys.stdin.isatty( ): # Avoid getting stuck when stdin is empty. for i, line in enumerate(sys.stdin): line = line.strip() - if len(line.split(' ')) == 1: + if len(line.split()) == 1: ret[str(i + 1)] = line - elif len(line.split(' ')) == 2: - id_, info = line.split(' ') + elif len(line.split()) == 2: + id_, info = line.split() ret[id_] = info else: # No valid input info from one line. continue @@ -170,7 +171,8 @@ class BaseExecutor(ABC): bool: return `True` for job input, `False` otherwise. """ return input_ and os.path.isfile(input_) and (input_.endswith('.job') or - input_.endswith('.txt')) + input_.endswith('.txt') or + input_.endswith('.scp')) def _get_job_contents( self, job_input: os.PathLike) -> Dict[str, Union[str, os.PathLike]]: @@ -189,7 +191,7 @@ class BaseExecutor(ABC): line = line.strip() if not line: continue - k, v = line.split(' ') + k, v = line.split() # space or \t job_contents[k] = v return job_contents From e81849277ede018e575007820c7573c5db13c480 Mon Sep 17 00:00:00 2001 From: Hui Zhang Date: Fri, 8 Jul 2022 09:36:26 +0000 Subject: [PATCH 076/192] att cache for streaming asr --- .../local/rtf_from_log.py | 2 +- paddlespeech/s2t/models/u2_st/u2_st.py | 47 ++++++++++++------- paddlespeech/s2t/modules/attention.py | 7 ++- paddlespeech/s2t/modules/encoder.py | 3 +- .../engine/asr/online/python/asr_engine.py | 12 ++--- 5 files changed, 41 insertions(+), 30 deletions(-) diff --git a/demos/streaming_asr_server/local/rtf_from_log.py b/demos/streaming_asr_server/local/rtf_from_log.py index 4f30d6400..4b89b48fd 100755 --- a/demos/streaming_asr_server/local/rtf_from_log.py +++ b/demos/streaming_asr_server/local/rtf_from_log.py @@ -38,4 +38,4 @@ if __name__ == '__main__': T += m['T'] P += m['P'] - print(f"RTF: {P/T}") + print(f"RTF: {P/T}, utts: {n}") diff --git a/paddlespeech/s2t/models/u2_st/u2_st.py b/paddlespeech/s2t/models/u2_st/u2_st.py index 00ded9125..e86bbedfa 100644 --- a/paddlespeech/s2t/models/u2_st/u2_st.py +++ b/paddlespeech/s2t/models/u2_st/u2_st.py @@ -401,29 +401,42 @@ class U2STBaseModel(nn.Layer): xs: paddle.Tensor, offset: int, required_cache_size: int, - subsampling_cache: Optional[paddle.Tensor]=None, - elayers_output_cache: Optional[List[paddle.Tensor]]=None, - conformer_cnn_cache: Optional[List[paddle.Tensor]]=None, - ) -> Tuple[paddle.Tensor, paddle.Tensor, List[paddle.Tensor], List[ - paddle.Tensor]]: + att_cache: paddle.Tensor = paddle.zeros([0, 0, 0, 0]), + cnn_cache: paddle.Tensor = paddle.zeros([0, 0, 0, 0]), + ) -> Tuple[paddle.Tensor, paddle.Tensor, paddle.Tensor]: """ Export interface for c++ call, give input chunk xs, and return output from time 0 to current chunk. + Args: - xs (paddle.Tensor): chunk input - subsampling_cache (Optional[paddle.Tensor]): subsampling cache - elayers_output_cache (Optional[List[paddle.Tensor]]): - transformer/conformer encoder layers output cache - conformer_cnn_cache (Optional[List[paddle.Tensor]]): conformer - cnn cache + xs (paddle.Tensor): chunk input, with shape (b=1, time, mel-dim), + where `time == (chunk_size - 1) * subsample_rate + \ + subsample.right_context + 1` + offset (int): current offset in encoder output time stamp + required_cache_size (int): cache size required for next chunk + compuation + >=0: actual cache size + <0: means all history cache is required + att_cache (paddle.Tensor): cache tensor for KEY & VALUE in + transformer/conformer attention, with shape + (elayers, head, cache_t1, d_k * 2), where + `head * d_k == hidden-dim` and + `cache_t1 == chunk_size * num_decoding_left_chunks`. + `d_k * 2` for att key & value. + cnn_cache (paddle.Tensor): cache tensor for cnn_module in conformer, + (elayers, b=1, hidden-dim, cache_t2), where + `cache_t2 == cnn.lorder - 1` + Returns: - paddle.Tensor: output, it ranges from time 0 to current chunk. - paddle.Tensor: subsampling cache - List[paddle.Tensor]: attention cache - List[paddle.Tensor]: conformer cnn cache + paddle.Tensor: output of current input xs, + with shape (b=1, chunk_size, hidden-dim). + paddle.Tensor: new attention cache required for next chunk, with + dynamic shape (elayers, head, T(?), d_k * 2) + depending on required_cache_size. + paddle.Tensor: new conformer cnn cache required for next chunk, with + same shape as the original cnn_cache. """ return self.encoder.forward_chunk( - xs, offset, required_cache_size, subsampling_cache, - elayers_output_cache, conformer_cnn_cache) + xs, offset, required_cache_size, att_cache, cnn_cache) # @jit.to_static def ctc_activation(self, xs: paddle.Tensor) -> paddle.Tensor: diff --git a/paddlespeech/s2t/modules/attention.py b/paddlespeech/s2t/modules/attention.py index c0b76f08e..454f9c147 100644 --- a/paddlespeech/s2t/modules/attention.py +++ b/paddlespeech/s2t/modules/attention.py @@ -181,8 +181,7 @@ class MultiHeadedAttention(nn.Layer): # >>> torch.equal(d[0], d[1]) # True if paddle.shape(cache)[0] > 0: # last dim `d_k * 2` for (key, val) - key_cache, value_cache = paddle.split( - cache, paddle.shape(cache)[-1] // 2, axis=-1) + key_cache, value_cache = paddle.split(cache, 2, axis=-1) k = paddle.concat([key_cache, k], axis=2) v = paddle.concat([value_cache, v], axis=2) # We do cache slicing in encoder.forward_chunk, since it's @@ -289,8 +288,8 @@ class RelPositionMultiHeadedAttention(MultiHeadedAttention): # >>> d = torch.split(a, 2, dim=-1) # >>> torch.equal(d[0], d[1]) # True if paddle.shape(cache)[0] > 0: - key_cache, value_cache = paddle.split( - cache, paddle.shape(cache)[-1] // 2, axis=-1) + # last dim `d_k * 2` for (key, val) + key_cache, value_cache = paddle.split(cache, 2, axis=-1) k = paddle.concat([key_cache, k], axis=2) v = paddle.concat([value_cache, v], axis=2) # We do cache slicing in encoder.forward_chunk, since it's diff --git a/paddlespeech/s2t/modules/encoder.py b/paddlespeech/s2t/modules/encoder.py index e05d0cc45..72300579f 100644 --- a/paddlespeech/s2t/modules/encoder.py +++ b/paddlespeech/s2t/modules/encoder.py @@ -230,7 +230,8 @@ class BaseEncoder(nn.Layer): xs, pos_emb, _ = self.embed(xs, tmp_masks, offset=offset) # after embed, xs=(B=1, chunk_size, hidden-dim) - elayers, cache_t1 = paddle.shape(att_cache)[0], paddle.shape(att_cache)[2] + elayers = paddle.shape(att_cache)[0] + cache_t1 = paddle.shape(att_cache)[2] chunk_size = paddle.shape(xs)[1] attention_key_size = cache_t1 + chunk_size diff --git a/paddlespeech/server/engine/asr/online/python/asr_engine.py b/paddlespeech/server/engine/asr/online/python/asr_engine.py index 2bacfecd6..4df38f09d 100644 --- a/paddlespeech/server/engine/asr/online/python/asr_engine.py +++ b/paddlespeech/server/engine/asr/online/python/asr_engine.py @@ -130,9 +130,9 @@ class PaddleASRConnectionHanddler: ## conformer # cache for conformer online - self.subsampling_cache = None - self.elayers_output_cache = None - self.conformer_cnn_cache = None + self.att_cache = paddle.zeros([0,0,0,0]) + self.cnn_cache = paddle.zeros([0,0,0,0]) + self.encoder_out = None # conformer decoding state self.offset = 0 # global offset in decoding frame unit @@ -474,11 +474,9 @@ class PaddleASRConnectionHanddler: # cur chunk chunk_xs = self.cached_feat[:, cur:end, :] # forward chunk - (y, self.subsampling_cache, self.elayers_output_cache, - self.conformer_cnn_cache) = self.model.encoder.forward_chunk( + (y, self.att_cache, self.cnn_cache) = self.model.encoder.forward_chunk( chunk_xs, self.offset, required_cache_size, - self.subsampling_cache, self.elayers_output_cache, - self.conformer_cnn_cache) + self.att_cache, self.cnn_cache) outputs.append(y) # update the global offset, in decoding frame unit From 94688264c774e03c74a412f4e12634e9a9599dd4 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Mon, 4 Jul 2022 12:41:41 +0000 Subject: [PATCH 077/192] add ernie sat model file and config --- examples/aishell3/ernie_sat/conf/default.yaml | 282 ++++++++ .../aishell3/ernie_sat/local/preprocess.sh | 61 ++ .../aishell3/ernie_sat/local/synthesize.sh | 1 + examples/aishell3/ernie_sat/local/train.sh | 12 + examples/aishell3/ernie_sat/path.sh | 13 + examples/aishell3/ernie_sat/run.sh | 32 + examples/aishell3/tts3/conf/conformer.yaml | 4 +- examples/aishell3/tts3/conf/default.yaml | 4 +- .../aishell3_vctk/ernie_sat/conf/default.yaml | 351 +++++++++ .../ernie_sat/local/preprocess.sh | 67 ++ .../ernie_sat/local/synthesize.sh | 1 + .../aishell3_vctk/ernie_sat/local/train.sh | 12 + examples/aishell3_vctk/ernie_sat/path.sh | 13 + examples/aishell3_vctk/ernie_sat/run.sh | 32 + examples/csmsc/tts2/conf/default.yaml | 22 +- examples/csmsc/voc3/conf/default.yaml | 2 +- examples/csmsc/voc3/conf/finetune.yaml | 2 +- examples/ernie_sat/local/align.py | 13 + examples/ernie_sat/local/inference.py | 20 +- examples/ernie_sat/local/inference_new.py | 622 ++++++++++++++++ examples/ernie_sat/local/sedit_arg_parser.py | 13 + examples/ernie_sat/local/utils.py | 13 + examples/ernie_sat/run_clone_en_to_zh_new.sh | 27 + examples/ernie_sat/run_gen_en_new.sh | 26 + examples/ernie_sat/run_sedit_en_new.sh | 27 + examples/ernie_sat/test_run_new.sh | 6 + examples/vctk/ernie_sat/conf/default.yaml | 162 +++++ examples/vctk/ernie_sat/local/preprocess.sh | 61 ++ examples/vctk/ernie_sat/local/synthesize.sh | 1 + examples/vctk/ernie_sat/local/train.sh | 12 + examples/vctk/ernie_sat/path.sh | 13 + examples/vctk/ernie_sat/run.sh | 32 + examples/vctk/tts3/conf/default.yaml | 6 +- paddlespeech/t2s/datasets/am_batch_fn.py | 147 +++- paddlespeech/t2s/exps/ernie_sat/__init__.py | 0 paddlespeech/t2s/exps/ernie_sat/normalize.py | 130 ++++ paddlespeech/t2s/exps/ernie_sat/preprocess.py | 341 +++++++++ paddlespeech/t2s/exps/ernie_sat/synthesize.py | 0 paddlespeech/t2s/exps/ernie_sat/train.py | 194 +++++ paddlespeech/t2s/models/ernie_sat/__init__.py | 4 +- .../t2s/models/ernie_sat/ernie_sat.py | 670 ++++++++++++++++++ .../t2s/models/ernie_sat/ernie_sat_updater.py | 148 ++++ paddlespeech/t2s/models/ernie_sat/mlm.py | 50 +- .../t2s/models/fastspeech2/fastspeech2.py | 2 - paddlespeech/t2s/modules/losses.py | 33 +- paddlespeech/t2s/modules/nets_utils.py | 1 - 46 files changed, 3604 insertions(+), 81 deletions(-) create mode 100644 examples/aishell3/ernie_sat/conf/default.yaml create mode 100755 examples/aishell3/ernie_sat/local/preprocess.sh create mode 100755 examples/aishell3/ernie_sat/local/synthesize.sh create mode 100755 examples/aishell3/ernie_sat/local/train.sh create mode 100755 examples/aishell3/ernie_sat/path.sh create mode 100755 examples/aishell3/ernie_sat/run.sh create mode 100644 examples/aishell3_vctk/ernie_sat/conf/default.yaml create mode 100755 examples/aishell3_vctk/ernie_sat/local/preprocess.sh create mode 100755 examples/aishell3_vctk/ernie_sat/local/synthesize.sh create mode 100755 examples/aishell3_vctk/ernie_sat/local/train.sh create mode 100755 examples/aishell3_vctk/ernie_sat/path.sh create mode 100755 examples/aishell3_vctk/ernie_sat/run.sh create mode 100644 examples/ernie_sat/local/inference_new.py create mode 100755 examples/ernie_sat/run_clone_en_to_zh_new.sh create mode 100755 examples/ernie_sat/run_gen_en_new.sh create mode 100755 examples/ernie_sat/run_sedit_en_new.sh create mode 100755 examples/ernie_sat/test_run_new.sh create mode 100644 examples/vctk/ernie_sat/conf/default.yaml create mode 100755 examples/vctk/ernie_sat/local/preprocess.sh create mode 100755 examples/vctk/ernie_sat/local/synthesize.sh create mode 100755 examples/vctk/ernie_sat/local/train.sh create mode 100755 examples/vctk/ernie_sat/path.sh create mode 100755 examples/vctk/ernie_sat/run.sh create mode 100644 paddlespeech/t2s/exps/ernie_sat/__init__.py create mode 100644 paddlespeech/t2s/exps/ernie_sat/normalize.py create mode 100644 paddlespeech/t2s/exps/ernie_sat/preprocess.py create mode 100644 paddlespeech/t2s/exps/ernie_sat/synthesize.py create mode 100644 paddlespeech/t2s/exps/ernie_sat/train.py create mode 100644 paddlespeech/t2s/models/ernie_sat/ernie_sat.py create mode 100644 paddlespeech/t2s/models/ernie_sat/ernie_sat_updater.py diff --git a/examples/aishell3/ernie_sat/conf/default.yaml b/examples/aishell3/ernie_sat/conf/default.yaml new file mode 100644 index 000000000..d724fe47c --- /dev/null +++ b/examples/aishell3/ernie_sat/conf/default.yaml @@ -0,0 +1,282 @@ +########################################################### +# FEATURE EXTRACTION SETTING # +########################################################### + +fs: 24000 # sr +n_fft: 2048 # FFT size (samples). +n_shift: 300 # Hop size (samples). 12.5ms +win_length: 1200 # Window length (samples). 50ms + # If set to null, it will be the same as fft_size. +window: "hann" # Window function. + +# Only used for feats_type != raw + +fmin: 80 # Minimum frequency of Mel basis. +fmax: 7600 # Maximum frequency of Mel basis. +n_mels: 80 # The number of mel basis. + +mean_phn_span: 8 +mlm_prob: 0.8 + +########################################################### +# DATA SETTING # +########################################################### +batch_size: 64 +num_workers: 2 + +########################################################### +# MODEL SETTING # +########################################################### +model: + text_masking: false + postnet_layers: 5 + postnet_filts: 5 + postnet_chans: 256 + encoder_type: conformer + decoder_type: conformer + enc_input_layer: sega_mlm + enc_pre_speech_layer: 0 + enc_cnn_module_kernel: 7 + enc_attention_dim: 384 + enc_attention_heads: 2 + enc_linear_units: 1536 + enc_num_blocks: 4 + enc_dropout_rate: 0.2 + enc_positional_dropout_rate: 0.2 + enc_attention_dropout_rate: 0.2 + enc_normalize_before: true + enc_macaron_style: true + enc_use_cnn_module: true + enc_selfattention_layer_type: legacy_rel_selfattn + enc_activation_type: swish + enc_pos_enc_layer_type: legacy_rel_pos + enc_positionwise_layer_type: conv1d + enc_positionwise_conv_kernel_size: 3 + dec_cnn_module_kernel: 31 + dec_attention_dim: 384 + dec_attention_heads: 2 + dec_linear_units: 1536 + dec_num_blocks: 4 + dec_dropout_rate: 0.2 + dec_positional_dropout_rate: 0.2 + dec_attention_dropout_rate: 0.2 + dec_macaron_style: true + dec_use_cnn_module: true + dec_selfattention_layer_type: legacy_rel_selfattn + dec_activation_type: swish + dec_pos_enc_layer_type: legacy_rel_pos + dec_positionwise_layer_type: conv1d + dec_positionwise_conv_kernel_size: 3 + +########################################################### +# OPTIMIZER SETTING # +########################################################### +optimizer: + optim: adam # optimizer type + learning_rate: 0.001 # learning rate + +########################################################### +# TRAINING SETTING # +########################################################### +max_epoch: 200 +num_snapshots: 5 + +########################################################### +# OTHER SETTING # +########################################################### +seed: 10086 + +token_list: +- +- +- d +- sp +- sh +- ii +- j +- zh +- l +- x +- b +- g +- uu +- e5 +- h +- q +- m +- i1 +- t +- z +- ch +- f +- s +- u4 +- ix4 +- i4 +- n +- i3 +- iu3 +- vv +- ian4 +- ix2 +- r +- e4 +- ai4 +- k +- ing2 +- a1 +- en2 +- ui4 +- ong1 +- uo3 +- u2 +- u3 +- ao4 +- ee +- p +- an1 +- eng2 +- i2 +- in1 +- c +- ai2 +- ian2 +- e2 +- an4 +- ing4 +- v4 +- ai3 +- a5 +- ian3 +- eng1 +- ong4 +- ang4 +- ian1 +- ing1 +- iy4 +- ao3 +- ang1 +- uo4 +- u1 +- iao4 +- iu4 +- a4 +- van2 +- ie4 +- ang2 +- ou4 +- iang4 +- ix1 +- er4 +- iy1 +- e1 +- en1 +- ui2 +- an3 +- ei4 +- ong2 +- uo1 +- ou3 +- uo2 +- iao1 +- ou1 +- an2 +- uan4 +- ia4 +- ia1 +- ang3 +- v3 +- iu2 +- iao3 +- in4 +- a3 +- ei3 +- iang3 +- v2 +- eng4 +- en3 +- aa +- uan1 +- v1 +- ao1 +- ve4 +- ie3 +- ai1 +- ing3 +- iang1 +- a2 +- ui1 +- en4 +- en5 +- in3 +- uan3 +- e3 +- ie1 +- ve2 +- ei2 +- in2 +- ix3 +- uan2 +- iang2 +- ie2 +- ua4 +- ou2 +- uai4 +- er2 +- eng3 +- uang3 +- un1 +- ong3 +- uang4 +- vn4 +- un2 +- iy3 +- iz4 +- ui3 +- iao2 +- iong4 +- un4 +- van4 +- ao2 +- uang1 +- iy5 +- o2 +- ei1 +- ua1 +- iu1 +- uang2 +- er5 +- o1 +- un3 +- vn1 +- vn2 +- o4 +- ve1 +- van3 +- ua2 +- er3 +- iong3 +- van1 +- ia2 +- iy2 +- ia3 +- iong1 +- uo5 +- oo +- ve3 +- ou5 +- uai3 +- ian5 +- iong2 +- uai2 +- uai1 +- ua3 +- vn3 +- ia5 +- ie5 +- ueng1 +- o5 +- o3 +- iang5 +- ei5 +- \ No newline at end of file diff --git a/examples/aishell3/ernie_sat/local/preprocess.sh b/examples/aishell3/ernie_sat/local/preprocess.sh new file mode 100755 index 000000000..d7a91d08f --- /dev/null +++ b/examples/aishell3/ernie_sat/local/preprocess.sh @@ -0,0 +1,61 @@ +#!/bin/bash + +stage=0 +stop_stage=100 + +config_path=$1 + +if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then + # get durations from MFA's result + echo "Generate durations.txt from MFA results ..." + python3 ${MAIN_ROOT}/utils/gen_duration_from_textgrid.py \ + --inputdir=./aishell3_alignment_tone \ + --output durations.txt \ + --config=${config_path} +fi + +if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then + # extract features + echo "Extract features ..." + python3 ${BIN_DIR}/preprocess.py \ + --dataset=aishell3 \ + --rootdir=~/datasets/data_aishell3/ \ + --dumpdir=dump \ + --dur-file=durations.txt \ + --config=${config_path} \ + --num-cpu=20 \ + --cut-sil=True +fi + +if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then + # get features' stats(mean and std) + echo "Get features' stats ..." + python3 ${MAIN_ROOT}/utils/compute_statistics.py \ + --metadata=dump/train/raw/metadata.jsonl \ + --field-name="speech" +fi + +if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then + # normalize and covert phone/speaker to id, dev and test should use train's stats + echo "Normalize ..." + python3 ${BIN_DIR}/normalize.py \ + --metadata=dump/train/raw/metadata.jsonl \ + --dumpdir=dump/train/norm \ + --speech-stats=dump/train/speech_stats.npy \ + --phones-dict=dump/phone_id_map.txt \ + --speaker-dict=dump/speaker_id_map.txt + + python3 ${BIN_DIR}/normalize.py \ + --metadata=dump/dev/raw/metadata.jsonl \ + --dumpdir=dump/dev/norm \ + --speech-stats=dump/train/speech_stats.npy \ + --phones-dict=dump/phone_id_map.txt \ + --speaker-dict=dump/speaker_id_map.txt + + python3 ${BIN_DIR}/normalize.py \ + --metadata=dump/test/raw/metadata.jsonl \ + --dumpdir=dump/test/norm \ + --speech-stats=dump/train/speech_stats.npy \ + --phones-dict=dump/phone_id_map.txt \ + --speaker-dict=dump/speaker_id_map.txt +fi diff --git a/examples/aishell3/ernie_sat/local/synthesize.sh b/examples/aishell3/ernie_sat/local/synthesize.sh new file mode 100755 index 000000000..cc1f786e8 --- /dev/null +++ b/examples/aishell3/ernie_sat/local/synthesize.sh @@ -0,0 +1 @@ +#!/bin/bash \ No newline at end of file diff --git a/examples/aishell3/ernie_sat/local/train.sh b/examples/aishell3/ernie_sat/local/train.sh new file mode 100755 index 000000000..f90db9150 --- /dev/null +++ b/examples/aishell3/ernie_sat/local/train.sh @@ -0,0 +1,12 @@ +#!/bin/bash + +config_path=$1 +train_output_path=$2 + +python3 ${BIN_DIR}/train.py \ + --train-metadata=dump/train/norm/metadata.jsonl \ + --dev-metadata=dump/dev/norm/metadata.jsonl \ + --config=${config_path} \ + --output-dir=${train_output_path} \ + --ngpu=1 \ + --phones-dict=dump/phone_id_map.txt \ No newline at end of file diff --git a/examples/aishell3/ernie_sat/path.sh b/examples/aishell3/ernie_sat/path.sh new file mode 100755 index 000000000..4ecab0251 --- /dev/null +++ b/examples/aishell3/ernie_sat/path.sh @@ -0,0 +1,13 @@ +#!/bin/bash +export MAIN_ROOT=`realpath ${PWD}/../../../` + +export PATH=${MAIN_ROOT}:${MAIN_ROOT}/utils:${PATH} +export LC_ALL=C + +export PYTHONDONTWRITEBYTECODE=1 +# Use UTF-8 in Python to avoid UnicodeDecodeError when LC_ALL=C +export PYTHONIOENCODING=UTF-8 +export PYTHONPATH=${MAIN_ROOT}:${PYTHONPATH} + +MODEL=ernie_sat +export BIN_DIR=${MAIN_ROOT}/paddlespeech/t2s/exps/${MODEL} \ No newline at end of file diff --git a/examples/aishell3/ernie_sat/run.sh b/examples/aishell3/ernie_sat/run.sh new file mode 100755 index 000000000..d75a19f23 --- /dev/null +++ b/examples/aishell3/ernie_sat/run.sh @@ -0,0 +1,32 @@ +#!/bin/bash + +set -e +source path.sh + +gpus=0,1 +stage=0 +stop_stage=100 + +conf_path=conf/default.yaml +train_output_path=exp/default +ckpt_name=snapshot_iter_153.pdz + +# with the following command, you can choose the stage range you want to run +# such as `./run.sh --stage 0 --stop-stage 0` +# this can not be mixed use with `$1`, `$2` ... +source ${MAIN_ROOT}/utils/parse_options.sh || exit 1 + +if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then + # prepare data + ./local/preprocess.sh ${conf_path} || exit -1 +fi + +if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then + # train model, all `ckpt` under `train_output_path/checkpoints/` dir + CUDA_VISIBLE_DEVICES=${gpus} ./local/train.sh ${conf_path} ${train_output_path} || exit -1 +fi + +if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then + # synthesize, vocoder is pwgan + CUDA_VISIBLE_DEVICES=${gpus} ./local/synthesize.sh ${conf_path} ${train_output_path} ${ckpt_name} || exit -1 +fi diff --git a/examples/aishell3/tts3/conf/conformer.yaml b/examples/aishell3/tts3/conf/conformer.yaml index ea73593d7..0834bfe3f 100644 --- a/examples/aishell3/tts3/conf/conformer.yaml +++ b/examples/aishell3/tts3/conf/conformer.yaml @@ -94,8 +94,8 @@ updater: # OPTIMIZER SETTING # ########################################################### optimizer: - optim: adam # optimizer type - learning_rate: 0.001 # learning rate + optim: adam # optimizer type + learning_rate: 0.001 # learning rate ########################################################### # TRAINING SETTING # diff --git a/examples/aishell3/tts3/conf/default.yaml b/examples/aishell3/tts3/conf/default.yaml index ac4956742..e65b5d0ec 100644 --- a/examples/aishell3/tts3/conf/default.yaml +++ b/examples/aishell3/tts3/conf/default.yaml @@ -88,8 +88,8 @@ updater: # OPTIMIZER SETTING # ########################################################### optimizer: - optim: adam # optimizer type - learning_rate: 0.001 # learning rate + optim: adam # optimizer type + learning_rate: 0.001 # learning rate ########################################################### # TRAINING SETTING # diff --git a/examples/aishell3_vctk/ernie_sat/conf/default.yaml b/examples/aishell3_vctk/ernie_sat/conf/default.yaml new file mode 100644 index 000000000..8c9cd7e02 --- /dev/null +++ b/examples/aishell3_vctk/ernie_sat/conf/default.yaml @@ -0,0 +1,351 @@ +########################################################### +# FEATURE EXTRACTION SETTING # +########################################################### + +fs: 24000 # sr +n_fft: 2048 # FFT size (samples). +n_shift: 300 # Hop size (samples). 12.5ms +win_length: 1200 # Window length (samples). 50ms + # If set to null, it will be the same as fft_size. +window: "hann" # Window function. + +# Only used for feats_type != raw + +fmin: 80 # Minimum frequency of Mel basis. +fmax: 7600 # Maximum frequency of Mel basis. +n_mels: 80 # The number of mel basis. + +mean_phn_span: 8 +mlm_prob: 0.8 + +########################################################### +# DATA SETTING # +########################################################### +batch_size: 64 +num_workers: 2 + +########################################################### +# MODEL SETTING # +########################################################### +model: + text_masking: true + postnet_layers: 5 + postnet_filts: 5 + postnet_chans: 256 + encoder_type: conformer + decoder_type: conformer + enc_input_layer: sega_mlm + enc_pre_speech_layer: 0 + enc_cnn_module_kernel: 7 + enc_attention_dim: 384 + enc_attention_heads: 2 + enc_linear_units: 1536 + enc_num_blocks: 4 + enc_dropout_rate: 0.2 + enc_positional_dropout_rate: 0.2 + enc_attention_dropout_rate: 0.2 + enc_normalize_before: true + enc_macaron_style: true + enc_use_cnn_module: true + enc_selfattention_layer_type: legacy_rel_selfattn + enc_activation_type: swish + enc_pos_enc_layer_type: legacy_rel_pos + enc_positionwise_layer_type: conv1d + enc_positionwise_conv_kernel_size: 3 + dec_cnn_module_kernel: 31 + dec_attention_dim: 384 + dec_attention_heads: 2 + dec_linear_units: 1536 + dec_num_blocks: 4 + dec_dropout_rate: 0.2 + dec_positional_dropout_rate: 0.2 + dec_attention_dropout_rate: 0.2 + dec_macaron_style: true + dec_use_cnn_module: true + dec_selfattention_layer_type: legacy_rel_selfattn + dec_activation_type: swish + dec_pos_enc_layer_type: legacy_rel_pos + dec_positionwise_layer_type: conv1d + dec_positionwise_conv_kernel_size: 3 + +########################################################### +# OPTIMIZER SETTING # +########################################################### +optimizer: + optim: adam # optimizer type + learning_rate: 0.001 # learning rate + +########################################################### +# TRAINING SETTING # +########################################################### +max_epoch: 100 +num_snapshots: 5 + +########################################################### +# OTHER SETTING # +########################################################### +seed: 10086 + +token_list: +- +- +- AH0 +- T +- N +- sp +- S +- R +- D +- L +- Z +- DH +- IH1 +- K +- W +- M +- EH1 +- AE1 +- ER0 +- B +- IY1 +- P +- V +- IY0 +- F +- HH +- AA1 +- AY1 +- AH1 +- EY1 +- IH0 +- AO1 +- OW1 +- UW1 +- G +- NG +- SH +- Y +- TH +- ER1 +- JH +- UH1 +- AW1 +- CH +- IH2 +- OW0 +- OW2 +- EY2 +- EH2 +- UW0 +- OY1 +- ZH +- EH0 +- AY2 +- AW2 +- AA2 +- AE2 +- IY2 +- AH2 +- AE0 +- AO2 +- AY0 +- AO0 +- UW2 +- UH2 +- AA0 +- EY0 +- AW0 +- UH0 +- ER2 +- OY2 +- OY0 +- d +- sh +- ii +- j +- zh +- l +- x +- b +- g +- uu +- e5 +- h +- q +- m +- i1 +- t +- z +- ch +- f +- s +- u4 +- ix4 +- i4 +- n +- i3 +- iu3 +- vv +- ian4 +- ix2 +- r +- e4 +- ai4 +- k +- ing2 +- a1 +- en2 +- ui4 +- ong1 +- uo3 +- u2 +- u3 +- ao4 +- ee +- p +- an1 +- eng2 +- i2 +- in1 +- c +- ai2 +- ian2 +- e2 +- an4 +- ing4 +- v4 +- ai3 +- a5 +- ian3 +- eng1 +- ong4 +- ang4 +- ian1 +- ing1 +- iy4 +- ao3 +- ang1 +- uo4 +- u1 +- iao4 +- iu4 +- a4 +- van2 +- ie4 +- ang2 +- ou4 +- iang4 +- ix1 +- er4 +- iy1 +- e1 +- en1 +- ui2 +- an3 +- ei4 +- ong2 +- uo1 +- ou3 +- uo2 +- iao1 +- ou1 +- an2 +- uan4 +- ia4 +- ia1 +- ang3 +- v3 +- iu2 +- iao3 +- in4 +- a3 +- ei3 +- iang3 +- v2 +- eng4 +- en3 +- aa +- uan1 +- v1 +- ao1 +- ve4 +- ie3 +- ai1 +- ing3 +- iang1 +- a2 +- ui1 +- en4 +- en5 +- in3 +- uan3 +- e3 +- ie1 +- ve2 +- ei2 +- in2 +- ix3 +- uan2 +- iang2 +- ie2 +- ua4 +- ou2 +- uai4 +- er2 +- eng3 +- uang3 +- un1 +- ong3 +- uang4 +- vn4 +- un2 +- iy3 +- iz4 +- ui3 +- iao2 +- iong4 +- un4 +- van4 +- ao2 +- uang1 +- iy5 +- o2 +- ei1 +- ua1 +- iu1 +- uang2 +- er5 +- o1 +- un3 +- vn1 +- vn2 +- o4 +- ve1 +- van3 +- ua2 +- er3 +- iong3 +- van1 +- ia2 +- iy2 +- ia3 +- iong1 +- uo5 +- oo +- ve3 +- ou5 +- uai3 +- ian5 +- iong2 +- uai2 +- uai1 +- ua3 +- vn3 +- ia5 +- ie5 +- ueng1 +- o5 +- o3 +- iang5 +- ei5 +- diff --git a/examples/aishell3_vctk/ernie_sat/local/preprocess.sh b/examples/aishell3_vctk/ernie_sat/local/preprocess.sh new file mode 100755 index 000000000..0cdc7bcaf --- /dev/null +++ b/examples/aishell3_vctk/ernie_sat/local/preprocess.sh @@ -0,0 +1,67 @@ +#!/bin/bash + +stage=0 +stop_stage=100 + +config_path=$1 + +if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then + # get durations from MFA's result + echo "Generate durations.txt from MFA results ..." + python3 ${MAIN_ROOT}/utils/gen_duration_from_textgrid.py \ + --inputdir=./aishell3_alignment_tone \ + --output durations.txt \ + --config=${config_path} +fi + +if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then + # extract features + echo "Extract features ..." + python3 ${BIN_DIR}/preprocess.py \ + --dataset=aishell3 \ + --rootdir=~/datasets/data_aishell3/ \ + --dumpdir=dump \ + --dur-file=durations.txt \ + --config=${config_path} \ + --num-cpu=20 \ + --cut-sil=True +fi + +if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then + # get features' stats(mean and std) + echo "Get features' stats ..." + python3 ${MAIN_ROOT}/utils/compute_statistics.py \ + --metadata=dump/train/raw/metadata.jsonl \ + --field-name="speech" +fi + +if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then + # normalize and covert phone/speaker to id, dev and test should use train's stats + echo "Normalize ..." + python3 ${BIN_DIR}/normalize.py \ + --metadata=dump/train/raw/metadata.jsonl \ + --dumpdir=dump/train/norm \ + --speech-stats=dump/train/speech_stats.npy \ + --pitch-stats=dump/train/pitch_stats.npy \ + --energy-stats=dump/train/energy_stats.npy \ + --phones-dict=dump/phone_id_map.txt \ + --speaker-dict=dump/speaker_id_map.txt + + python3 ${BIN_DIR}/normalize.py \ + --metadata=dump/dev/raw/metadata.jsonl \ + --dumpdir=dump/dev/norm \ + --speech-stats=dump/train/speech_stats.npy \ + --pitch-stats=dump/train/pitch_stats.npy \ + --energy-stats=dump/train/energy_stats.npy \ + --phones-dict=dump/phone_id_map.txt \ + --speaker-dict=dump/speaker_id_map.txt + + python3 ${BIN_DIR}/normalize.py \ + --metadata=dump/test/raw/metadata.jsonl \ + --dumpdir=dump/test/norm \ + --speech-stats=dump/train/speech_stats.npy \ + --pitch-stats=dump/train/pitch_stats.npy \ + --energy-stats=dump/train/energy_stats.npy \ + --phones-dict=dump/phone_id_map.txt \ + --speaker-dict=dump/speaker_id_map.txt +fi diff --git a/examples/aishell3_vctk/ernie_sat/local/synthesize.sh b/examples/aishell3_vctk/ernie_sat/local/synthesize.sh new file mode 100755 index 000000000..cc1f786e8 --- /dev/null +++ b/examples/aishell3_vctk/ernie_sat/local/synthesize.sh @@ -0,0 +1 @@ +#!/bin/bash \ No newline at end of file diff --git a/examples/aishell3_vctk/ernie_sat/local/train.sh b/examples/aishell3_vctk/ernie_sat/local/train.sh new file mode 100755 index 000000000..f90db9150 --- /dev/null +++ b/examples/aishell3_vctk/ernie_sat/local/train.sh @@ -0,0 +1,12 @@ +#!/bin/bash + +config_path=$1 +train_output_path=$2 + +python3 ${BIN_DIR}/train.py \ + --train-metadata=dump/train/norm/metadata.jsonl \ + --dev-metadata=dump/dev/norm/metadata.jsonl \ + --config=${config_path} \ + --output-dir=${train_output_path} \ + --ngpu=1 \ + --phones-dict=dump/phone_id_map.txt \ No newline at end of file diff --git a/examples/aishell3_vctk/ernie_sat/path.sh b/examples/aishell3_vctk/ernie_sat/path.sh new file mode 100755 index 000000000..d46d2f612 --- /dev/null +++ b/examples/aishell3_vctk/ernie_sat/path.sh @@ -0,0 +1,13 @@ +#!/bin/bash +export MAIN_ROOT=`realpath ${PWD}/../../` + +export PATH=${MAIN_ROOT}:${MAIN_ROOT}/utils:${PATH} +export LC_ALL=C + +export PYTHONDONTWRITEBYTECODE=1 +# Use UTF-8 in Python to avoid UnicodeDecodeError when LC_ALL=C +export PYTHONIOENCODING=UTF-8 +export PYTHONPATH=${MAIN_ROOT}:${PYTHONPATH} + +MODEL=ernie_sat +export BIN_DIR=${MAIN_ROOT}/paddlespeech/t2s/exps/${MODEL} \ No newline at end of file diff --git a/examples/aishell3_vctk/ernie_sat/run.sh b/examples/aishell3_vctk/ernie_sat/run.sh new file mode 100755 index 000000000..d75a19f23 --- /dev/null +++ b/examples/aishell3_vctk/ernie_sat/run.sh @@ -0,0 +1,32 @@ +#!/bin/bash + +set -e +source path.sh + +gpus=0,1 +stage=0 +stop_stage=100 + +conf_path=conf/default.yaml +train_output_path=exp/default +ckpt_name=snapshot_iter_153.pdz + +# with the following command, you can choose the stage range you want to run +# such as `./run.sh --stage 0 --stop-stage 0` +# this can not be mixed use with `$1`, `$2` ... +source ${MAIN_ROOT}/utils/parse_options.sh || exit 1 + +if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then + # prepare data + ./local/preprocess.sh ${conf_path} || exit -1 +fi + +if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then + # train model, all `ckpt` under `train_output_path/checkpoints/` dir + CUDA_VISIBLE_DEVICES=${gpus} ./local/train.sh ${conf_path} ${train_output_path} || exit -1 +fi + +if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then + # synthesize, vocoder is pwgan + CUDA_VISIBLE_DEVICES=${gpus} ./local/synthesize.sh ${conf_path} ${train_output_path} ${ckpt_name} || exit -1 +fi diff --git a/examples/csmsc/tts2/conf/default.yaml b/examples/csmsc/tts2/conf/default.yaml index a3366b8f9..a5a258b7e 100644 --- a/examples/csmsc/tts2/conf/default.yaml +++ b/examples/csmsc/tts2/conf/default.yaml @@ -21,22 +21,22 @@ num_workers: 4 # MODEL SETTING # ########################################################### model: - encoder_hidden_size: 128 - encoder_kernel_size: 3 - encoder_dilations: [1, 3, 9, 27, 1, 3, 9, 27, 1, 1] - duration_predictor_hidden_size: 128 - decoder_hidden_size: 128 - decoder_output_size: 80 - decoder_kernel_size: 3 - decoder_dilations: [1, 3, 9, 27, 1, 3, 9, 27, 1, 3, 9, 27, 1, 3, 9, 27, 1, 1] + encoder_hidden_size: 128 + encoder_kernel_size: 3 + encoder_dilations: [1, 3, 9, 27, 1, 3, 9, 27, 1, 1] + duration_predictor_hidden_size: 128 + decoder_hidden_size: 128 + decoder_output_size: 80 + decoder_kernel_size: 3 + decoder_dilations: [1, 3, 9, 27, 1, 3, 9, 27, 1, 3, 9, 27, 1, 3, 9, 27, 1, 1] ########################################################### # OPTIMIZER SETTING # ########################################################### optimizer: - optim: adam # optimizer type - learning_rate: 0.002 # learning rate - max_grad_norm: 1 + optim: adam # optimizer type + learning_rate: 0.002 # learning rate + max_grad_norm: 1 ########################################################### # TRAINING SETTING # diff --git a/examples/csmsc/voc3/conf/default.yaml b/examples/csmsc/voc3/conf/default.yaml index fbff54f19..a5ee17808 100644 --- a/examples/csmsc/voc3/conf/default.yaml +++ b/examples/csmsc/voc3/conf/default.yaml @@ -29,7 +29,7 @@ generator_params: out_channels: 4 # Number of output channels. kernel_size: 7 # Kernel size of initial and final conv layers. channels: 384 # Initial number of channels for conv layers. - upsample_scales: [5, 5, 3] # List of Upsampling scales. prod(upsample_scales) == n_shift + upsample_scales: [5, 5, 3] # List of Upsampling scales. prod(upsample_scales) x out_channels == n_shift stack_kernel_size: 3 # Kernel size of dilated conv layers in residual stack. stacks: 4 # Number of stacks in a single residual stack module. use_weight_norm: True # Whether to use weight normalization. diff --git a/examples/csmsc/voc3/conf/finetune.yaml b/examples/csmsc/voc3/conf/finetune.yaml index 0a38c2820..8c37ac302 100644 --- a/examples/csmsc/voc3/conf/finetune.yaml +++ b/examples/csmsc/voc3/conf/finetune.yaml @@ -29,7 +29,7 @@ generator_params: out_channels: 4 # Number of output channels. kernel_size: 7 # Kernel size of initial and final conv layers. channels: 384 # Initial number of channels for conv layers. - upsample_scales: [5, 5, 3] # List of Upsampling scales. prod(upsample_scales) == n_shift + upsample_scales: [5, 5, 3] # List of Upsampling scales. prod(upsample_scales) x out_channels == n_shift stack_kernel_size: 3 # Kernel size of dilated conv layers in residual stack. stacks: 4 # Number of stacks in a single residual stack module. use_weight_norm: True # Whether to use weight normalization. diff --git a/examples/ernie_sat/local/align.py b/examples/ernie_sat/local/align.py index 025877ddf..ff47cac5b 100755 --- a/examples/ernie_sat/local/align.py +++ b/examples/ernie_sat/local/align.py @@ -1,3 +1,16 @@ +# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. """ Usage: align.py wavfile trsfile outwordfile outphonefile """ diff --git a/examples/ernie_sat/local/inference.py b/examples/ernie_sat/local/inference.py index 196d9c6d0..e6a0788fd 100644 --- a/examples/ernie_sat/local/inference.py +++ b/examples/ernie_sat/local/inference.py @@ -1,4 +1,16 @@ -#!/usr/bin/env python3 +# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import os import random from typing import Dict @@ -305,7 +317,6 @@ def get_dur_adj_factor(orig_dur: List[int], def prep_feats_with_dur(wav_path: str, - mlm_model: nn.Layer, source_lang: str="English", target_lang: str="English", old_str: str="", @@ -425,8 +436,7 @@ def prep_feats_with_dur(wav_path: str, return new_wav, new_phns, new_mfa_start, new_mfa_end, old_span_bdy, new_span_bdy -def prep_feats(mlm_model: nn.Layer, - wav_path: str, +def prep_feats(wav_path: str, source_lang: str="english", target_lang: str="english", old_str: str="", @@ -440,7 +450,6 @@ def prep_feats(mlm_model: nn.Layer, wav, phns, mfa_start, mfa_end, old_span_bdy, new_span_bdy = prep_feats_with_dur( source_lang=source_lang, target_lang=target_lang, - mlm_model=mlm_model, old_str=old_str, new_str=new_str, wav_path=wav_path, @@ -482,7 +491,6 @@ def decode_with_model(mlm_model: nn.Layer, batch, old_span_bdy, new_span_bdy = prep_feats( source_lang=source_lang, target_lang=target_lang, - mlm_model=mlm_model, wav_path=wav_path, old_str=old_str, new_str=new_str, diff --git a/examples/ernie_sat/local/inference_new.py b/examples/ernie_sat/local/inference_new.py new file mode 100644 index 000000000..525967eb1 --- /dev/null +++ b/examples/ernie_sat/local/inference_new.py @@ -0,0 +1,622 @@ +# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import os +import random +from typing import Dict +from typing import List + +import librosa +import numpy as np +import paddle +import soundfile as sf +import yaml +from align import alignment +from align import alignment_zh +from align import words2phns +from align import words2phns_zh +from paddle import nn +from sedit_arg_parser import parse_args +from utils import eval_durs +from utils import get_voc_out +from utils import is_chinese +from utils import load_num_sequence_text +from utils import read_2col_text +from yacs.config import CfgNode + +from paddlespeech.t2s.datasets.am_batch_fn import build_mlm_collate_fn +from paddlespeech.t2s.models.ernie_sat.ernie_sat import ErnieSAT + +random.seed(0) +np.random.seed(0) + + +def get_wav(wav_path: str, + source_lang: str='english', + target_lang: str='english', + model_name: str="paddle_checkpoint_en", + old_str: str="", + new_str: str="", + non_autoreg: bool=True): + wav_org, output_feat, old_span_bdy, new_span_bdy, fs, hop_length = get_mlm_output( + source_lang=source_lang, + target_lang=target_lang, + model_name=model_name, + wav_path=wav_path, + old_str=old_str, + new_str=new_str, + use_teacher_forcing=non_autoreg) + + masked_feat = output_feat[new_span_bdy[0]:new_span_bdy[1]] + + alt_wav = get_voc_out(masked_feat) + + old_time_bdy = [hop_length * x for x in old_span_bdy] + + wav_replaced = np.concatenate( + [wav_org[:old_time_bdy[0]], alt_wav, wav_org[old_time_bdy[1]:]]) + + data_dict = {"origin": wav_org, "output": wav_replaced} + + return data_dict + + +def load_model(model_name: str="paddle_checkpoint_en"): + config_path = './pretrained_model/{}/default.yaml'.format(model_name) + model_path = './pretrained_model/{}/model.pdparams'.format(model_name) + with open(config_path) as f: + conf = CfgNode(yaml.safe_load(f)) + token_list = list(conf.token_list) + vocab_size = len(token_list) + odim = conf.n_mels + mlm_model = ErnieSAT(idim=vocab_size, odim=odim, **conf["model"]) + state_dict = paddle.load(model_path) + new_state_dict = {} + for key, value in state_dict.items(): + new_key = "model." + key + new_state_dict[new_key] = value + mlm_model.set_state_dict(new_state_dict) + mlm_model.eval() + + return mlm_model, conf + + +def read_data(uid: str, prefix: os.PathLike): + # 获取 uid 对应的文本 + mfa_text = read_2col_text(prefix + '/text')[uid] + # 获取 uid 对应的音频路径 + mfa_wav_path = read_2col_text(prefix + '/wav.scp')[uid] + if not os.path.isabs(mfa_wav_path): + mfa_wav_path = prefix + mfa_wav_path + return mfa_text, mfa_wav_path + + +def get_align_data(uid: str, prefix: os.PathLike): + mfa_path = prefix + "mfa_" + mfa_text = read_2col_text(mfa_path + 'text')[uid] + mfa_start = load_num_sequence_text( + mfa_path + 'start', loader_type='text_float')[uid] + mfa_end = load_num_sequence_text( + mfa_path + 'end', loader_type='text_float')[uid] + mfa_wav_path = read_2col_text(mfa_path + 'wav.scp')[uid] + return mfa_text, mfa_start, mfa_end, mfa_wav_path + + +# 获取需要被 mask 的 mel 帧的范围 +def get_masked_mel_bdy(mfa_start: List[float], + mfa_end: List[float], + fs: int, + hop_length: int, + span_to_repl: List[List[int]]): + align_start = np.array(mfa_start) + align_end = np.array(mfa_end) + align_start = np.floor(fs * align_start / hop_length).astype('int') + align_end = np.floor(fs * align_end / hop_length).astype('int') + if span_to_repl[0] >= len(mfa_start): + span_bdy = [align_end[-1], align_end[-1]] + else: + span_bdy = [ + align_start[span_to_repl[0]], align_end[span_to_repl[1] - 1] + ] + return span_bdy, align_start, align_end + + +def recover_dict(word2phns: Dict[str, str], tp_word2phns: Dict[str, str]): + dic = {} + keys_to_del = [] + exist_idx = [] + sp_count = 0 + add_sp_count = 0 + for key in word2phns.keys(): + idx, wrd = key.split('_') + if wrd == 'sp': + sp_count += 1 + exist_idx.append(int(idx)) + else: + keys_to_del.append(key) + + for key in keys_to_del: + del word2phns[key] + + cur_id = 0 + for key in tp_word2phns.keys(): + if cur_id in exist_idx: + dic[str(cur_id) + "_sp"] = 'sp' + cur_id += 1 + add_sp_count += 1 + idx, wrd = key.split('_') + dic[str(cur_id) + "_" + wrd] = tp_word2phns[key] + cur_id += 1 + + if add_sp_count + 1 == sp_count: + dic[str(cur_id) + "_sp"] = 'sp' + add_sp_count += 1 + + assert add_sp_count == sp_count, "sp are not added in dic" + return dic + + +def get_max_idx(dic): + return sorted([int(key.split('_')[0]) for key in dic.keys()])[-1] + + +def get_phns_and_spans(wav_path: str, + old_str: str="", + new_str: str="", + source_lang: str="english", + target_lang: str="english"): + is_append = (old_str == new_str[:len(old_str)]) + old_phns, mfa_start, mfa_end = [], [], [] + # source + if source_lang == "english": + intervals, word2phns = alignment(wav_path, old_str) + elif source_lang == "chinese": + intervals, word2phns = alignment_zh(wav_path, old_str) + _, tp_word2phns = words2phns_zh(old_str) + + for key, value in tp_word2phns.items(): + idx, wrd = key.split('_') + cur_val = " ".join(value) + tp_word2phns[key] = cur_val + + word2phns = recover_dict(word2phns, tp_word2phns) + else: + assert source_lang == "chinese" or source_lang == "english", \ + "source_lang is wrong..." + + for item in intervals: + old_phns.append(item[0]) + mfa_start.append(float(item[1])) + mfa_end.append(float(item[2])) + # target + if is_append and (source_lang != target_lang): + cross_lingual_clone = True + else: + cross_lingual_clone = False + + if cross_lingual_clone: + str_origin = new_str[:len(old_str)] + str_append = new_str[len(old_str):] + + if target_lang == "chinese": + phns_origin, origin_word2phns = words2phns(str_origin) + phns_append, append_word2phns_tmp = words2phns_zh(str_append) + + elif target_lang == "english": + # 原始句子 + phns_origin, origin_word2phns = words2phns_zh(str_origin) + # clone 句子 + phns_append, append_word2phns_tmp = words2phns(str_append) + else: + assert target_lang == "chinese" or target_lang == "english", \ + "cloning is not support for this language, please check it." + + new_phns = phns_origin + phns_append + + append_word2phns = {} + length = len(origin_word2phns) + for key, value in append_word2phns_tmp.items(): + idx, wrd = key.split('_') + append_word2phns[str(int(idx) + length) + '_' + wrd] = value + new_word2phns = origin_word2phns.copy() + new_word2phns.update(append_word2phns) + + else: + if source_lang == target_lang and target_lang == "english": + new_phns, new_word2phns = words2phns(new_str) + elif source_lang == target_lang and target_lang == "chinese": + new_phns, new_word2phns = words2phns_zh(new_str) + else: + assert source_lang == target_lang, \ + "source language is not same with target language..." + + span_to_repl = [0, len(old_phns) - 1] + span_to_add = [0, len(new_phns) - 1] + left_idx = 0 + new_phns_left = [] + sp_count = 0 + # find the left different index + for key in word2phns.keys(): + idx, wrd = key.split('_') + if wrd == 'sp': + sp_count += 1 + new_phns_left.append('sp') + else: + idx = str(int(idx) - sp_count) + if idx + '_' + wrd in new_word2phns: + left_idx += len(new_word2phns[idx + '_' + wrd]) + new_phns_left.extend(word2phns[key].split()) + else: + span_to_repl[0] = len(new_phns_left) + span_to_add[0] = len(new_phns_left) + break + + # reverse word2phns and new_word2phns + right_idx = 0 + new_phns_right = [] + sp_count = 0 + word2phns_max_idx = get_max_idx(word2phns) + new_word2phns_max_idx = get_max_idx(new_word2phns) + new_phns_mid = [] + if is_append: + new_phns_right = [] + new_phns_mid = new_phns[left_idx:] + span_to_repl[0] = len(new_phns_left) + span_to_add[0] = len(new_phns_left) + span_to_add[1] = len(new_phns_left) + len(new_phns_mid) + span_to_repl[1] = len(old_phns) - len(new_phns_right) + # speech edit + else: + for key in list(word2phns.keys())[::-1]: + idx, wrd = key.split('_') + if wrd == 'sp': + sp_count += 1 + new_phns_right = ['sp'] + new_phns_right + else: + idx = str(new_word2phns_max_idx - (word2phns_max_idx - int(idx) + - sp_count)) + if idx + '_' + wrd in new_word2phns: + right_idx -= len(new_word2phns[idx + '_' + wrd]) + new_phns_right = word2phns[key].split() + new_phns_right + else: + span_to_repl[1] = len(old_phns) - len(new_phns_right) + new_phns_mid = new_phns[left_idx:right_idx] + span_to_add[1] = len(new_phns_left) + len(new_phns_mid) + if len(new_phns_mid) == 0: + span_to_add[1] = min(span_to_add[1] + 1, len(new_phns)) + span_to_add[0] = max(0, span_to_add[0] - 1) + span_to_repl[0] = max(0, span_to_repl[0] - 1) + span_to_repl[1] = min(span_to_repl[1] + 1, + len(old_phns)) + break + new_phns = new_phns_left + new_phns_mid + new_phns_right + ''' + For that reason cover should not be given. + For that reason cover is impossible to be given. + span_to_repl: [17, 23] "should not" + span_to_add: [17, 30] "is impossible to" + ''' + return mfa_start, mfa_end, old_phns, new_phns, span_to_repl, span_to_add + + +# mfa 获得的 duration 和 fs2 的 duration_predictor 获取的 duration 可能不同 +# 此处获得一个缩放比例, 用于预测值和真实值之间的缩放 +def get_dur_adj_factor(orig_dur: List[int], + pred_dur: List[int], + phns: List[str]): + length = 0 + factor_list = [] + for orig, pred, phn in zip(orig_dur, pred_dur, phns): + if pred == 0 or phn == 'sp': + continue + else: + factor_list.append(orig / pred) + factor_list = np.array(factor_list) + factor_list.sort() + if len(factor_list) < 5: + return 1 + length = 2 + avg = np.average(factor_list[length:-length]) + return avg + + +def prep_feats_with_dur(wav_path: str, + source_lang: str="English", + target_lang: str="English", + old_str: str="", + new_str: str="", + mask_reconstruct: bool=False, + duration_adjust: bool=True, + start_end_sp: bool=False, + fs: int=24000, + hop_length: int=300): + ''' + Returns: + np.ndarray: new wav, replace the part to be edited in original wav with 0 + List[str]: new phones + List[float]: mfa start of new wav + List[float]: mfa end of new wav + List[int]: masked mel boundary of original wav + List[int]: masked mel boundary of new wav + ''' + wav_org, _ = librosa.load(wav_path, sr=fs) + + mfa_start, mfa_end, old_phns, new_phns, span_to_repl, span_to_add = get_phns_and_spans( + wav_path=wav_path, + old_str=old_str, + new_str=new_str, + source_lang=source_lang, + target_lang=target_lang) + + if start_end_sp: + if new_phns[-1] != 'sp': + new_phns = new_phns + ['sp'] + # 中文的 phns 不一定都在 fastspeech2 的字典里, 用 sp 代替 + if target_lang == "english" or target_lang == "chinese": + old_durs = eval_durs(old_phns, target_lang=source_lang) + else: + assert target_lang == "chinese" or target_lang == "english", \ + "calculate duration_predict is not support for this language..." + + orig_old_durs = [e - s for e, s in zip(mfa_end, mfa_start)] + if '[MASK]' in new_str: + new_phns = old_phns + span_to_add = span_to_repl + d_factor_left = get_dur_adj_factor( + orig_dur=orig_old_durs[:span_to_repl[0]], + pred_dur=old_durs[:span_to_repl[0]], + phns=old_phns[:span_to_repl[0]]) + d_factor_right = get_dur_adj_factor( + orig_dur=orig_old_durs[span_to_repl[1]:], + pred_dur=old_durs[span_to_repl[1]:], + phns=old_phns[span_to_repl[1]:]) + d_factor = (d_factor_left + d_factor_right) / 2 + new_durs_adjusted = [d_factor * i for i in old_durs] + else: + if duration_adjust: + d_factor = get_dur_adj_factor( + orig_dur=orig_old_durs, pred_dur=old_durs, phns=old_phns) + d_factor = d_factor * 1.25 + else: + d_factor = 1 + + if target_lang == "english" or target_lang == "chinese": + new_durs = eval_durs(new_phns, target_lang=target_lang) + else: + assert target_lang == "chinese" or target_lang == "english", \ + "calculate duration_predict is not support for this language..." + + new_durs_adjusted = [d_factor * i for i in new_durs] + + new_span_dur_sum = sum(new_durs_adjusted[span_to_add[0]:span_to_add[1]]) + old_span_dur_sum = sum(orig_old_durs[span_to_repl[0]:span_to_repl[1]]) + dur_offset = new_span_dur_sum - old_span_dur_sum + new_mfa_start = mfa_start[:span_to_repl[0]] + new_mfa_end = mfa_end[:span_to_repl[0]] + for i in new_durs_adjusted[span_to_add[0]:span_to_add[1]]: + if len(new_mfa_end) == 0: + new_mfa_start.append(0) + new_mfa_end.append(i) + else: + new_mfa_start.append(new_mfa_end[-1]) + new_mfa_end.append(new_mfa_end[-1] + i) + new_mfa_start += [i + dur_offset for i in mfa_start[span_to_repl[1]:]] + new_mfa_end += [i + dur_offset for i in mfa_end[span_to_repl[1]:]] + + # 3. get new wav + # 在原始句子后拼接 + if span_to_repl[0] >= len(mfa_start): + left_idx = len(wav_org) + right_idx = left_idx + # 在原始句子中间替换 + else: + left_idx = int(np.floor(mfa_start[span_to_repl[0]] * fs)) + right_idx = int(np.ceil(mfa_end[span_to_repl[1] - 1] * fs)) + blank_wav = np.zeros( + (int(np.ceil(new_span_dur_sum * fs)), ), dtype=wav_org.dtype) + # 原始音频，需要编辑的部分替换成空音频，空音频的时间由 fs2 的 duration_predictor 决定 + new_wav = np.concatenate( + [wav_org[:left_idx], blank_wav, wav_org[right_idx:]]) + + # 4. get old and new mel span to be mask + # [92, 92] + + old_span_bdy, mfa_start, mfa_end = get_masked_mel_bdy( + mfa_start=mfa_start, + mfa_end=mfa_end, + fs=fs, + hop_length=hop_length, + span_to_repl=span_to_repl) + # [92, 174] + # new_mfa_start, new_mfa_end 时间级别的开始和结束时间 -> 帧级别 + new_span_bdy, new_mfa_start, new_mfa_end = get_masked_mel_bdy( + mfa_start=new_mfa_start, + mfa_end=new_mfa_end, + fs=fs, + hop_length=hop_length, + span_to_repl=span_to_add) + + # old_span_bdy, new_span_bdy 是帧级别的范围 + return new_wav, new_phns, new_mfa_start, new_mfa_end, old_span_bdy, new_span_bdy + + +def prep_feats(wav_path: str, + source_lang: str="english", + target_lang: str="english", + old_str: str="", + new_str: str="", + duration_adjust: bool=True, + start_end_sp: bool=False, + mask_reconstruct: bool=False, + fs: int=24000, + hop_length: int=300, + token_list: List[str]=[]): + wav, phns, mfa_start, mfa_end, old_span_bdy, new_span_bdy = prep_feats_with_dur( + source_lang=source_lang, + target_lang=target_lang, + old_str=old_str, + new_str=new_str, + wav_path=wav_path, + duration_adjust=duration_adjust, + start_end_sp=start_end_sp, + mask_reconstruct=mask_reconstruct, + fs=fs, + hop_length=hop_length) + + token_to_id = {item: i for i, item in enumerate(token_list)} + text = np.array( + list(map(lambda x: token_to_id.get(x, token_to_id['']), phns))) + span_bdy = np.array(new_span_bdy) + + batch = [('1', { + "speech": wav, + "align_start": mfa_start, + "align_end": mfa_end, + "text": text, + "span_bdy": span_bdy + })] + + return batch, old_span_bdy, new_span_bdy + + +def decode_with_model(mlm_model: nn.Layer, + collate_fn, + wav_path: str, + source_lang: str="english", + target_lang: str="english", + old_str: str="", + new_str: str="", + use_teacher_forcing: bool=False, + duration_adjust: bool=True, + start_end_sp: bool=False, + fs: int=24000, + hop_length: int=300, + token_list: List[str]=[]): + batch, old_span_bdy, new_span_bdy = prep_feats( + source_lang=source_lang, + target_lang=target_lang, + wav_path=wav_path, + old_str=old_str, + new_str=new_str, + duration_adjust=duration_adjust, + start_end_sp=start_end_sp, + fs=fs, + hop_length=hop_length, + token_list=token_list) + + feats = collate_fn(batch)[1] + + if 'text_masked_pos' in feats.keys(): + feats.pop('text_masked_pos') + + output = mlm_model.inference( + text=feats['text'], + speech=feats['speech'], + masked_pos=feats['masked_pos'], + speech_mask=feats['speech_mask'], + text_mask=feats['text_mask'], + speech_seg_pos=feats['speech_seg_pos'], + text_seg_pos=feats['text_seg_pos'], + span_bdy=new_span_bdy, + use_teacher_forcing=use_teacher_forcing) + + # 拼接音频 + output_feat = paddle.concat(x=output, axis=0) + wav_org, _ = librosa.load(wav_path, sr=fs) + return wav_org, output_feat, old_span_bdy, new_span_bdy, fs, hop_length + + +def get_mlm_output(wav_path: str, + model_name: str="paddle_checkpoint_en", + source_lang: str="english", + target_lang: str="english", + old_str: str="", + new_str: str="", + use_teacher_forcing: bool=False, + duration_adjust: bool=True, + start_end_sp: bool=False): + mlm_model, train_conf = load_model(model_name) + + collate_fn = build_mlm_collate_fn( + sr=train_conf.fs, + n_fft=train_conf.n_fft, + hop_length=train_conf.n_shift, + win_length=train_conf.win_length, + n_mels=train_conf.n_mels, + fmin=train_conf.fmin, + fmax=train_conf.fmax, + mlm_prob=train_conf.mlm_prob, + mean_phn_span=train_conf.mean_phn_span, + seg_emb=train_conf.model['enc_input_layer'] == 'sega_mlm') + + return decode_with_model( + source_lang=source_lang, + target_lang=target_lang, + mlm_model=mlm_model, + collate_fn=collate_fn, + wav_path=wav_path, + old_str=old_str, + new_str=new_str, + use_teacher_forcing=use_teacher_forcing, + duration_adjust=duration_adjust, + start_end_sp=start_end_sp, + fs=train_conf.fs, + hop_length=train_conf.n_shift, + token_list=train_conf.token_list) + + +def evaluate(uid: str, + source_lang: str="english", + target_lang: str="english", + prefix: os.PathLike="./prompt/dev/", + model_name: str="paddle_checkpoint_en", + new_str: str="", + prompt_decoding: bool=False, + task_name: str=None): + + # get origin text and path of origin wav + old_str, wav_path = read_data(uid=uid, prefix=prefix) + + if task_name == 'edit': + new_str = new_str + elif task_name == 'synthesize': + new_str = old_str + new_str + else: + new_str = old_str + ' '.join([ch for ch in new_str if is_chinese(ch)]) + + print('new_str is ', new_str) + + results_dict = get_wav( + source_lang=source_lang, + target_lang=target_lang, + model_name=model_name, + wav_path=wav_path, + old_str=old_str, + new_str=new_str) + return results_dict + + +if __name__ == "__main__": + # parse config and args + args = parse_args() + + data_dict = evaluate( + uid=args.uid, + source_lang=args.source_lang, + target_lang=args.target_lang, + prefix=args.prefix, + model_name=args.model_name, + new_str=args.new_str, + task_name=args.task_name) + sf.write(args.output_name, data_dict['output'], samplerate=24000) + print("finished...") diff --git a/examples/ernie_sat/local/sedit_arg_parser.py b/examples/ernie_sat/local/sedit_arg_parser.py index 21c6d0b4b..ad7e57191 100644 --- a/examples/ernie_sat/local/sedit_arg_parser.py +++ b/examples/ernie_sat/local/sedit_arg_parser.py @@ -1,3 +1,16 @@ +# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import argparse diff --git a/examples/ernie_sat/local/utils.py b/examples/ernie_sat/local/utils.py index 836942a26..f2dce504a 100644 --- a/examples/ernie_sat/local/utils.py +++ b/examples/ernie_sat/local/utils.py @@ -1,3 +1,16 @@ +# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. from pathlib import Path from typing import Dict from typing import List diff --git a/examples/ernie_sat/run_clone_en_to_zh_new.sh b/examples/ernie_sat/run_clone_en_to_zh_new.sh new file mode 100755 index 000000000..12fdf23f1 --- /dev/null +++ b/examples/ernie_sat/run_clone_en_to_zh_new.sh @@ -0,0 +1,27 @@ +#!/bin/bash + +set -e +source path.sh + +# en --> zh 的 语音合成 +# 根据 Prompt_003_new 作为提示语音: This was not the show for me. 来合成: '今天天气很好' +# 注: 输入的 new_str 需为中文汉字, 否则会通过预处理只保留中文汉字, 即合成预处理后的中文语音。 + +python local/inference_new.py \ + --task_name=cross-lingual_clone \ + --model_name=paddle_checkpoint_dual_mask_enzh \ + --uid=Prompt_003_new \ + --new_str='今天天气很好.' \ + --prefix='./prompt/dev/' \ + --source_lang=english \ + --target_lang=chinese \ + --output_name=pred_clone.wav \ + --voc=pwgan_aishell3 \ + --voc_config=download/pwg_aishell3_ckpt_0.5/default.yaml \ + --voc_ckpt=download/pwg_aishell3_ckpt_0.5/snapshot_iter_1000000.pdz \ + --voc_stat=download/pwg_aishell3_ckpt_0.5/feats_stats.npy \ + --am=fastspeech2_csmsc \ + --am_config=download/fastspeech2_conformer_baker_ckpt_0.5/conformer.yaml \ + --am_ckpt=download/fastspeech2_conformer_baker_ckpt_0.5/snapshot_iter_76000.pdz \ + --am_stat=download/fastspeech2_conformer_baker_ckpt_0.5/speech_stats.npy \ + --phones_dict=download/fastspeech2_conformer_baker_ckpt_0.5/phone_id_map.txt diff --git a/examples/ernie_sat/run_gen_en_new.sh b/examples/ernie_sat/run_gen_en_new.sh new file mode 100755 index 000000000..d76b00430 --- /dev/null +++ b/examples/ernie_sat/run_gen_en_new.sh @@ -0,0 +1,26 @@ +#!/bin/bash + +set -e +source path.sh + +# 纯英文的语音合成 +# 样例为根据 p299_096 对应的语音作为提示语音: This was not the show for me. 来合成: 'I enjoy my life.' + +python local/inference_new.py \ + --task_name=synthesize \ + --model_name=paddle_checkpoint_en \ + --uid=p299_096 \ + --new_str='I enjoy my life, do you?' \ + --prefix='./prompt/dev/' \ + --source_lang=english \ + --target_lang=english \ + --output_name=pred_gen.wav \ + --voc=pwgan_aishell3 \ + --voc_config=download/pwg_aishell3_ckpt_0.5/default.yaml \ + --voc_ckpt=download/pwg_aishell3_ckpt_0.5/snapshot_iter_1000000.pdz \ + --voc_stat=download/pwg_aishell3_ckpt_0.5/feats_stats.npy \ + --am=fastspeech2_ljspeech \ + --am_config=download/fastspeech2_nosil_ljspeech_ckpt_0.5/default.yaml \ + --am_ckpt=download/fastspeech2_nosil_ljspeech_ckpt_0.5/snapshot_iter_100000.pdz \ + --am_stat=download/fastspeech2_nosil_ljspeech_ckpt_0.5/speech_stats.npy \ + --phones_dict=download/fastspeech2_nosil_ljspeech_ckpt_0.5/phone_id_map.txt diff --git a/examples/ernie_sat/run_sedit_en_new.sh b/examples/ernie_sat/run_sedit_en_new.sh new file mode 100755 index 000000000..0952d280c --- /dev/null +++ b/examples/ernie_sat/run_sedit_en_new.sh @@ -0,0 +1,27 @@ +#!/bin/bash + +set -e +source path.sh + +# 纯英文的语音编辑 +# 样例为把 p243_new 对应的原始语音: For that reason cover should not be given.编辑成 'for that reason cover is impossible to be given.' 对应的语音 +# NOTE: 语音编辑任务暂支持句子中 1 个位置的替换或者插入文本操作 + +python local/inference_new.py \ + --task_name=edit \ + --model_name=paddle_checkpoint_en \ + --uid=p243_new \ + --new_str='for that reason cover is impossible to be given.' \ + --prefix='./prompt/dev/' \ + --source_lang=english \ + --target_lang=english \ + --output_name=pred_edit.wav \ + --voc=pwgan_aishell3 \ + --voc_config=download/pwg_aishell3_ckpt_0.5/default.yaml \ + --voc_ckpt=download/pwg_aishell3_ckpt_0.5/snapshot_iter_1000000.pdz \ + --voc_stat=download/pwg_aishell3_ckpt_0.5/feats_stats.npy \ + --am=fastspeech2_ljspeech \ + --am_config=download/fastspeech2_nosil_ljspeech_ckpt_0.5/default.yaml \ + --am_ckpt=download/fastspeech2_nosil_ljspeech_ckpt_0.5/snapshot_iter_100000.pdz \ + --am_stat=download/fastspeech2_nosil_ljspeech_ckpt_0.5/speech_stats.npy \ + --phones_dict=download/fastspeech2_nosil_ljspeech_ckpt_0.5/phone_id_map.txt diff --git a/examples/ernie_sat/test_run_new.sh b/examples/ernie_sat/test_run_new.sh new file mode 100755 index 000000000..bf8a4e02d --- /dev/null +++ b/examples/ernie_sat/test_run_new.sh @@ -0,0 +1,6 @@ +#!/bin/bash + +rm -rf *.wav +./run_sedit_en_new.sh # 语音编辑任务(英文) +./run_gen_en_new.sh # 个性化语音合成任务(英文) +./run_clone_en_to_zh_new.sh # 跨语言语音合成任务(英文到中文的语音克隆) \ No newline at end of file diff --git a/examples/vctk/ernie_sat/conf/default.yaml b/examples/vctk/ernie_sat/conf/default.yaml new file mode 100644 index 000000000..99247659b --- /dev/null +++ b/examples/vctk/ernie_sat/conf/default.yaml @@ -0,0 +1,162 @@ +########################################################### +# FEATURE EXTRACTION SETTING # +########################################################### + +fs: 24000 # sr +n_fft: 2048 # FFT size (samples). +n_shift: 300 # Hop size (samples). 12.5ms +win_length: 1200 # Window length (samples). 50ms + # If set to null, it will be the same as fft_size. +window: "hann" # Window function. + +# Only used for feats_type != raw + +fmin: 80 # Minimum frequency of Mel basis. +fmax: 7600 # Maximum frequency of Mel basis. +n_mels: 80 # The number of mel basis. + +mean_phn_span: 8 +mlm_prob: 0.8 + +########################################################### +# DATA SETTING # +########################################################### +batch_size: 20 +num_workers: 2 + +########################################################### +# MODEL SETTING # +########################################################### +model: + text_masking: false + postnet_layers: 5 + postnet_filts: 5 + postnet_chans: 256 + encoder_type: conformer + decoder_type: conformer + enc_input_layer: sega_mlm + enc_pre_speech_layer: 0 + enc_cnn_module_kernel: 7 + enc_attention_dim: 384 + enc_attention_heads: 2 + enc_linear_units: 1536 + enc_num_blocks: 4 + enc_dropout_rate: 0.2 + enc_positional_dropout_rate: 0.2 + enc_attention_dropout_rate: 0.2 + enc_normalize_before: true + enc_macaron_style: true + enc_use_cnn_module: true + enc_selfattention_layer_type: legacy_rel_selfattn + enc_activation_type: swish + enc_pos_enc_layer_type: legacy_rel_pos + enc_positionwise_layer_type: conv1d + enc_positionwise_conv_kernel_size: 3 + dec_cnn_module_kernel: 31 + dec_attention_dim: 384 + dec_attention_heads: 2 + dec_linear_units: 1536 + dec_num_blocks: 4 + dec_dropout_rate: 0.2 + dec_positional_dropout_rate: 0.2 + dec_attention_dropout_rate: 0.2 + dec_macaron_style: true + dec_use_cnn_module: true + dec_selfattention_layer_type: legacy_rel_selfattn + dec_activation_type: swish + dec_pos_enc_layer_type: legacy_rel_pos + dec_positionwise_layer_type: conv1d + dec_positionwise_conv_kernel_size: 3 + +########################################################### +# OPTIMIZER SETTING # +########################################################### +optimizer: + optim: adam # optimizer type + learning_rate: 0.001 # learning rate + +########################################################### +# TRAINING SETTING # +########################################################### +max_epoch: 200 +num_snapshots: 5 + +########################################################### +# OTHER SETTING # +########################################################### +seed: 10086 + +token_list: +- +- +- AH0 +- T +- N +- sp +- D +- S +- R +- L +- IH1 +- DH +- AE1 +- M +- EH1 +- K +- Z +- W +- HH +- ER0 +- AH1 +- IY1 +- P +- V +- F +- B +- AY1 +- IY0 +- EY1 +- AA1 +- AO1 +- UW1 +- IH0 +- OW1 +- NG +- G +- SH +- ER1 +- Y +- TH +- AW1 +- CH +- UH1 +- IH2 +- JH +- OW0 +- EH2 +- OY1 +- AY2 +- EH0 +- EY2 +- UW0 +- AE2 +- AA2 +- OW2 +- AH2 +- ZH +- AO2 +- IY2 +- AE0 +- UW2 +- AY0 +- AA0 +- AO0 +- AW2 +- EY0 +- UH2 +- ER2 +- OY2 +- UH0 +- AW0 +- OY0 +- \ No newline at end of file diff --git a/examples/vctk/ernie_sat/local/preprocess.sh b/examples/vctk/ernie_sat/local/preprocess.sh new file mode 100755 index 000000000..a0a3881f0 --- /dev/null +++ b/examples/vctk/ernie_sat/local/preprocess.sh @@ -0,0 +1,61 @@ +#!/bin/bash + +stage=0 +stop_stage=100 + +config_path=$1 + +if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then + # get durations from MFA's result + echo "Generate durations.txt from MFA results ..." + python3 ${MAIN_ROOT}/utils/gen_duration_from_textgrid.py \ + --inputdir=./vctk_alignment \ + --output durations.txt \ + --config=${config_path} +fi + +if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then + # extract features + echo "Extract features ..." + python3 ${BIN_DIR}/preprocess.py \ + --dataset=vctk \ + --rootdir=~/datasets/VCTK-Corpus-0.92/ \ + --dumpdir=dump \ + --dur-file=durations.txt \ + --config=${config_path} \ + --num-cpu=20 \ + --cut-sil=True +fi + +if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then + # get features' stats(mean and std) + echo "Get features' stats ..." + python3 ${MAIN_ROOT}/utils/compute_statistics.py \ + --metadata=dump/train/raw/metadata.jsonl \ + --field-name="speech" +fi + +if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then + # normalize and covert phone/speaker to id, dev and test should use train's stats + echo "Normalize ..." + python3 ${BIN_DIR}/normalize.py \ + --metadata=dump/train/raw/metadata.jsonl \ + --dumpdir=dump/train/norm \ + --speech-stats=dump/train/speech_stats.npy \ + --phones-dict=dump/phone_id_map.txt \ + --speaker-dict=dump/speaker_id_map.txt + + python3 ${BIN_DIR}/normalize.py \ + --metadata=dump/dev/raw/metadata.jsonl \ + --dumpdir=dump/dev/norm \ + --speech-stats=dump/train/speech_stats.npy \ + --phones-dict=dump/phone_id_map.txt \ + --speaker-dict=dump/speaker_id_map.txt + + python3 ${BIN_DIR}/normalize.py \ + --metadata=dump/test/raw/metadata.jsonl \ + --dumpdir=dump/test/norm \ + --speech-stats=dump/train/speech_stats.npy \ + --phones-dict=dump/phone_id_map.txt \ + --speaker-dict=dump/speaker_id_map.txt +fi diff --git a/examples/vctk/ernie_sat/local/synthesize.sh b/examples/vctk/ernie_sat/local/synthesize.sh new file mode 100755 index 000000000..cc1f786e8 --- /dev/null +++ b/examples/vctk/ernie_sat/local/synthesize.sh @@ -0,0 +1 @@ +#!/bin/bash \ No newline at end of file diff --git a/examples/vctk/ernie_sat/local/train.sh b/examples/vctk/ernie_sat/local/train.sh new file mode 100755 index 000000000..f90db9150 --- /dev/null +++ b/examples/vctk/ernie_sat/local/train.sh @@ -0,0 +1,12 @@ +#!/bin/bash + +config_path=$1 +train_output_path=$2 + +python3 ${BIN_DIR}/train.py \ + --train-metadata=dump/train/norm/metadata.jsonl \ + --dev-metadata=dump/dev/norm/metadata.jsonl \ + --config=${config_path} \ + --output-dir=${train_output_path} \ + --ngpu=1 \ + --phones-dict=dump/phone_id_map.txt \ No newline at end of file diff --git a/examples/vctk/ernie_sat/path.sh b/examples/vctk/ernie_sat/path.sh new file mode 100755 index 000000000..4ecab0251 --- /dev/null +++ b/examples/vctk/ernie_sat/path.sh @@ -0,0 +1,13 @@ +#!/bin/bash +export MAIN_ROOT=`realpath ${PWD}/../../../` + +export PATH=${MAIN_ROOT}:${MAIN_ROOT}/utils:${PATH} +export LC_ALL=C + +export PYTHONDONTWRITEBYTECODE=1 +# Use UTF-8 in Python to avoid UnicodeDecodeError when LC_ALL=C +export PYTHONIOENCODING=UTF-8 +export PYTHONPATH=${MAIN_ROOT}:${PYTHONPATH} + +MODEL=ernie_sat +export BIN_DIR=${MAIN_ROOT}/paddlespeech/t2s/exps/${MODEL} \ No newline at end of file diff --git a/examples/vctk/ernie_sat/run.sh b/examples/vctk/ernie_sat/run.sh new file mode 100755 index 000000000..d75a19f23 --- /dev/null +++ b/examples/vctk/ernie_sat/run.sh @@ -0,0 +1,32 @@ +#!/bin/bash + +set -e +source path.sh + +gpus=0,1 +stage=0 +stop_stage=100 + +conf_path=conf/default.yaml +train_output_path=exp/default +ckpt_name=snapshot_iter_153.pdz + +# with the following command, you can choose the stage range you want to run +# such as `./run.sh --stage 0 --stop-stage 0` +# this can not be mixed use with `$1`, `$2` ... +source ${MAIN_ROOT}/utils/parse_options.sh || exit 1 + +if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then + # prepare data + ./local/preprocess.sh ${conf_path} || exit -1 +fi + +if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then + # train model, all `ckpt` under `train_output_path/checkpoints/` dir + CUDA_VISIBLE_DEVICES=${gpus} ./local/train.sh ${conf_path} ${train_output_path} || exit -1 +fi + +if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then + # synthesize, vocoder is pwgan + CUDA_VISIBLE_DEVICES=${gpus} ./local/synthesize.sh ${conf_path} ${train_output_path} ${ckpt_name} || exit -1 +fi diff --git a/examples/vctk/tts3/conf/default.yaml b/examples/vctk/tts3/conf/default.yaml index 1bca9107b..a75658d3d 100644 --- a/examples/vctk/tts3/conf/default.yaml +++ b/examples/vctk/tts3/conf/default.yaml @@ -24,7 +24,7 @@ f0max: 400 # Maximum f0 for pitch extraction. # DATA SETTING # ########################################################### batch_size: 64 -num_workers: 4 +num_workers: 2 ########################################################### @@ -88,8 +88,8 @@ updater: # OPTIMIZER SETTING # ########################################################### optimizer: - optim: adam # optimizer type - learning_rate: 0.001 # learning rate + optim: adam # optimizer type + learning_rate: 0.001 # learning rate ########################################################### # TRAINING SETTING # diff --git a/paddlespeech/t2s/datasets/am_batch_fn.py b/paddlespeech/t2s/datasets/am_batch_fn.py index 1c70b1cdc..fbc03c0de 100644 --- a/paddlespeech/t2s/datasets/am_batch_fn.py +++ b/paddlespeech/t2s/datasets/am_batch_fn.py @@ -28,6 +28,149 @@ from paddlespeech.t2s.modules.nets_utils import phones_masking from paddlespeech.t2s.modules.nets_utils import phones_text_masking +# 因为要传参数，所以需要额外构建 +def build_erniesat_collate_fn( + mlm_prob: float=0.8, + mean_phn_span: int=8, + seg_emb: bool=False, + text_masking: bool=False, + epoch: int=-1, ): + + if epoch == -1: + mlm_prob_factor = 1 + else: + mlm_prob_factor = 0.8 + + return ErnieSATCollateFn( + mlm_prob=mlm_prob * mlm_prob_factor, + mean_phn_span=mean_phn_span, + seg_emb=seg_emb, + text_masking=text_masking) + + +class ErnieSATCollateFn: + """Functor class of common_collate_fn()""" + + def __init__(self, + mlm_prob: float=0.8, + mean_phn_span: int=8, + seg_emb: bool=False, + text_masking: bool=False): + self.mlm_prob = mlm_prob + self.mean_phn_span = mean_phn_span + self.seg_emb = seg_emb + self.text_masking = text_masking + + def __call__(self, exmaples): + return erniesat_batch_fn( + exmaples, + mlm_prob=self.mlm_prob, + mean_phn_span=self.mean_phn_span, + seg_emb=self.seg_emb, + text_masking=self.text_masking) + + +def erniesat_batch_fn(examples, + mlm_prob: float=0.8, + mean_phn_span: int=8, + seg_emb: bool=False, + text_masking: bool=False): + # fields = ["text", "text_lengths", "speech", "speech_lengths", "durations", "pitch", "energy"] + text = [np.array(item["text"], dtype=np.int64) for item in examples] + speech = [np.array(item["speech"], dtype=np.float32) for item in examples] + + text_lengths = [ + np.array(item["text_lengths"], dtype=np.int64) for item in examples + ] + speech_lengths = [ + np.array(item["speech_lengths"], dtype=np.int64) for item in examples + ] + + align_start = [ + np.array(item["align_start"], dtype=np.int64) for item in examples + ] + + align_end = [ + np.array(item["align_end"], dtype=np.int64) for item in examples + ] + + align_start_lengths = [ + np.array(len(item["align_start"]), dtype=np.int64) for item in examples + ] + + # add_pad + text = batch_sequences(text) + speech = batch_sequences(speech) + align_start = batch_sequences(align_start) + align_end = batch_sequences(align_end) + + # convert each batch to paddle.Tensor + text = paddle.to_tensor(text) + speech = paddle.to_tensor(speech) + text_lengths = paddle.to_tensor(text_lengths) + speech_lengths = paddle.to_tensor(speech_lengths) + align_start_lengths = paddle.to_tensor(align_start_lengths) + + speech_pad = speech + text_pad = text + + text_mask = make_non_pad_mask( + text_lengths, text_pad, length_dim=1).unsqueeze(-2) + speech_mask = make_non_pad_mask( + speech_lengths, speech_pad[:, :, 0], length_dim=1).unsqueeze(-2) + + # dual_mask 的是混合中英时候同时 mask 语音和文本 + # ernie sat 在实现跨语言的时候都 mask 了 + span_bdy = None + if text_masking: + masked_pos, text_masked_pos = phones_text_masking( + xs_pad=speech_pad, + src_mask=speech_mask, + text_pad=text_pad, + text_mask=text_mask, + align_start=align_start, + align_end=align_end, + align_start_lens=align_start_lengths, + mlm_prob=mlm_prob, + mean_phn_span=mean_phn_span, + span_bdy=span_bdy) + # 训练纯中文和纯英文的 -> a3t 没有对 phoneme 做 mask, 只对语音 mask 了 + # a3t 和 ernie sat 的区别主要在于做 mask 的时候 + else: + masked_pos = phones_masking( + xs_pad=speech_pad, + src_mask=speech_mask, + align_start=align_start, + align_end=align_end, + align_start_lens=align_start_lengths, + mlm_prob=mlm_prob, + mean_phn_span=mean_phn_span, + span_bdy=span_bdy) + text_masked_pos = paddle.zeros(paddle.shape(text_pad)) + + speech_seg_pos, text_seg_pos = get_seg_pos( + speech_pad=speech_pad, + text_pad=text_pad, + align_start=align_start, + align_end=align_end, + align_start_lens=align_start_lengths, + seg_emb=seg_emb) + + batch = { + "text": text, + "speech": speech, + # need to generate + "masked_pos": masked_pos, + "speech_mask": speech_mask, + "text_mask": text_mask, + "speech_seg_pos": speech_seg_pos, + "text_seg_pos": text_seg_pos, + "text_masked_pos": text_masked_pos + } + + return batch + + def tacotron2_single_spk_batch_fn(examples): # fields = ["text", "text_lengths", "speech", "speech_lengths"] text = [np.array(item["text"], dtype=np.int64) for item in examples] @@ -378,7 +521,6 @@ class MLMCollateFn: mean_phn_span=self.mean_phn_span, seg_emb=self.seg_emb, text_masking=self.text_masking, - attention_window=self.attention_window, not_sequence=self.not_sequence) @@ -389,7 +531,6 @@ def mlm_collate_fn( mean_phn_span: int=8, seg_emb: bool=False, text_masking: bool=False, - attention_window: int=0, pad_value: int=0, not_sequence: Collection[str]=(), ) -> Tuple[List[str], Dict[str, paddle.Tensor]]: @@ -420,6 +561,7 @@ def mlm_collate_fn( feats = feats_extract.get_log_mel_fbank(np.array(output["speech"][0])) feats = paddle.to_tensor(feats) + print("feats.shape:", feats.shape) feats_lens = paddle.shape(feats)[0] feats = paddle.unsqueeze(feats, 0) @@ -439,6 +581,7 @@ def mlm_collate_fn( text_lens, text_pad, length_dim=1).unsqueeze(-2) speech_mask = make_non_pad_mask( feats_lens, speech_pad[:, :, 0], length_dim=1).unsqueeze(-2) + span_bdy = None if 'span_bdy' in output.keys(): span_bdy = output['span_bdy'] diff --git a/paddlespeech/t2s/exps/ernie_sat/__init__.py b/paddlespeech/t2s/exps/ernie_sat/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/paddlespeech/t2s/exps/ernie_sat/normalize.py b/paddlespeech/t2s/exps/ernie_sat/normalize.py new file mode 100644 index 000000000..74cdae2a6 --- /dev/null +++ b/paddlespeech/t2s/exps/ernie_sat/normalize.py @@ -0,0 +1,130 @@ +# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Normalize feature files and dump them.""" +import argparse +import logging +from operator import itemgetter +from pathlib import Path + +import jsonlines +import numpy as np +from sklearn.preprocessing import StandardScaler +from tqdm import tqdm + +from paddlespeech.t2s.datasets.data_table import DataTable + + +def main(): + """Run preprocessing process.""" + parser = argparse.ArgumentParser( + description="Normalize dumped raw features (See detail in parallel_wavegan/bin/normalize.py)." + ) + parser.add_argument( + "--metadata", + type=str, + required=True, + help="directory including feature files to be normalized. " + "you need to specify either *-scp or rootdir.") + + parser.add_argument( + "--dumpdir", + type=str, + required=True, + help="directory to dump normalized feature files.") + parser.add_argument( + "--speech-stats", + type=str, + required=True, + help="speech statistics file.") + parser.add_argument( + "--phones-dict", type=str, default=None, help="phone vocabulary file.") + parser.add_argument( + "--speaker-dict", type=str, default=None, help="speaker id map file.") + + args = parser.parse_args() + + dumpdir = Path(args.dumpdir).expanduser() + # use absolute path + dumpdir = dumpdir.resolve() + dumpdir.mkdir(parents=True, exist_ok=True) + + # get dataset + with jsonlines.open(args.metadata, 'r') as reader: + metadata = list(reader) + dataset = DataTable( + metadata, converters={ + "speech": np.load, + }) + logging.info(f"The number of files = {len(dataset)}.") + + # restore scaler + speech_scaler = StandardScaler() + speech_scaler.mean_ = np.load(args.speech_stats)[0] + speech_scaler.scale_ = np.load(args.speech_stats)[1] + speech_scaler.n_features_in_ = speech_scaler.mean_.shape[0] + + vocab_phones = {} + with open(args.phones_dict, 'rt') as f: + phn_id = [line.strip().split() for line in f.readlines()] + for phn, id in phn_id: + vocab_phones[phn] = int(id) + + vocab_speaker = {} + with open(args.speaker_dict, 'rt') as f: + spk_id = [line.strip().split() for line in f.readlines()] + for spk, id in spk_id: + vocab_speaker[spk] = int(id) + + # process each file + output_metadata = [] + + for item in tqdm(dataset): + utt_id = item['utt_id'] + speech = item['speech'] + + # normalize + speech = speech_scaler.transform(speech) + speech_dir = dumpdir / "data_speech" + speech_dir.mkdir(parents=True, exist_ok=True) + speech_path = speech_dir / f"{utt_id}_speech.npy" + np.save(speech_path, speech.astype(np.float32), allow_pickle=False) + + phone_ids = [vocab_phones[p] for p in item['phones']] + spk_id = vocab_speaker[item["speaker"]] + record = { + "utt_id": item['utt_id'], + "spk_id": spk_id, + "text": phone_ids, + "text_lengths": item['text_lengths'], + "speech_lengths": item['speech_lengths'], + "durations": item['durations'], + "speech": str(speech_path), + "align_start": item['align_start'], + "align_end": item['align_end'], + } + # add spk_emb for voice cloning + if "spk_emb" in item: + record["spk_emb"] = str(item["spk_emb"]) + + output_metadata.append(record) + output_metadata.sort(key=itemgetter('utt_id')) + output_metadata_path = Path(args.dumpdir) / "metadata.jsonl" + with jsonlines.open(output_metadata_path, 'w') as writer: + for item in output_metadata: + writer.write(item) + logging.info(f"metadata dumped into {output_metadata_path}") + + +if __name__ == "__main__": + main() diff --git a/paddlespeech/t2s/exps/ernie_sat/preprocess.py b/paddlespeech/t2s/exps/ernie_sat/preprocess.py new file mode 100644 index 000000000..a56314a26 --- /dev/null +++ b/paddlespeech/t2s/exps/ernie_sat/preprocess.py @@ -0,0 +1,341 @@ +# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import argparse +import os +from concurrent.futures import ThreadPoolExecutor +from operator import itemgetter +from pathlib import Path +from typing import Any +from typing import Dict +from typing import List + +import jsonlines +import librosa +import numpy as np +import tqdm +import yaml +from yacs.config import CfgNode + +from paddlespeech.t2s.datasets.get_feats import LogMelFBank +from paddlespeech.t2s.datasets.preprocess_utils import compare_duration_and_mel_length +from paddlespeech.t2s.datasets.preprocess_utils import get_input_token +from paddlespeech.t2s.datasets.preprocess_utils import get_phn_dur +from paddlespeech.t2s.datasets.preprocess_utils import get_spk_id_map +from paddlespeech.t2s.datasets.preprocess_utils import merge_silence +from paddlespeech.t2s.utils import str2bool + + +def process_sentence(config: Dict[str, Any], + fp: Path, + sentences: Dict, + output_dir: Path, + mel_extractor=None, + cut_sil: bool=True, + spk_emb_dir: Path=None): + utt_id = fp.stem + # for vctk + if utt_id.endswith("_mic2"): + utt_id = utt_id[:-5] + record = None + if utt_id in sentences: + # reading, resampling may occur + wav, _ = librosa.load(str(fp), sr=config.fs) + if len(wav.shape) != 1: + return record + max_value = np.abs(wav).max() + if max_value > 1.0: + wav = wav / max_value + assert len(wav.shape) == 1, f"{utt_id} is not a mono-channel audio." + assert np.abs(wav).max( + ) <= 1.0, f"{utt_id} is seems to be different that 16 bit PCM." + phones = sentences[utt_id][0] + durations = sentences[utt_id][1] + speaker = sentences[utt_id][2] + d_cumsum = np.pad(np.array(durations).cumsum(0), (1, 0), 'constant') + + # little imprecise than use *.TextGrid directly + times = librosa.frames_to_time( + d_cumsum, sr=config.fs, hop_length=config.n_shift) + if cut_sil: + start = 0 + end = d_cumsum[-1] + if phones[0] == "sil" and len(durations) > 1: + start = times[1] + durations = durations[1:] + phones = phones[1:] + if phones[-1] == 'sil' and len(durations) > 1: + end = times[-2] + durations = durations[:-1] + phones = phones[:-1] + sentences[utt_id][0] = phones + sentences[utt_id][1] = durations + start, end = librosa.time_to_samples([start, end], sr=config.fs) + wav = wav[start:end] + + # extract mel feats + logmel = mel_extractor.get_log_mel_fbank(wav) + # change duration according to mel_length + compare_duration_and_mel_length(sentences, utt_id, logmel) + # utt_id may be popped in compare_duration_and_mel_length + if utt_id not in sentences: + return None + phones = sentences[utt_id][0] + durations = sentences[utt_id][1] + num_frames = logmel.shape[0] + assert sum(durations) == num_frames + + new_d_cumsum = np.pad(np.array(durations).cumsum(0), (1, 0), 'constant') + align_start = new_d_cumsum[:-1] + align_end = new_d_cumsum[1:] + assert len(align_start) == len(align_end) == len(durations) + + mel_dir = output_dir / "data_speech" + mel_dir.mkdir(parents=True, exist_ok=True) + mel_path = mel_dir / (utt_id + "_speech.npy") + np.save(mel_path, logmel) + # align_start_lengths == text_lengths + record = { + "utt_id": utt_id, + "phones": phones, + "text_lengths": len(phones), + "speech_lengths": num_frames, + "durations": durations, + "speech": str(mel_path), + "speaker": speaker, + "align_start": align_start.tolist(), + "align_end": align_end.tolist(), + } + if spk_emb_dir: + if speaker in os.listdir(spk_emb_dir): + embed_name = utt_id + ".npy" + embed_path = spk_emb_dir / speaker / embed_name + if embed_path.is_file(): + record["spk_emb"] = str(embed_path) + else: + return None + return record + + +def process_sentences(config, + fps: List[Path], + sentences: Dict, + output_dir: Path, + mel_extractor=None, + nprocs: int=1, + cut_sil: bool=True, + spk_emb_dir: Path=None): + if nprocs == 1: + results = [] + for fp in tqdm.tqdm(fps, total=len(fps)): + record = process_sentence( + config=config, + fp=fp, + sentences=sentences, + output_dir=output_dir, + mel_extractor=mel_extractor, + cut_sil=cut_sil, + spk_emb_dir=spk_emb_dir) + if record: + results.append(record) + else: + with ThreadPoolExecutor(nprocs) as pool: + futures = [] + with tqdm.tqdm(total=len(fps)) as progress: + for fp in fps: + future = pool.submit(process_sentence, config, fp, + sentences, output_dir, mel_extractor, + cut_sil, spk_emb_dir) + future.add_done_callback(lambda p: progress.update()) + futures.append(future) + + results = [] + for ft in futures: + record = ft.result() + if record: + results.append(record) + + results.sort(key=itemgetter("utt_id")) + with jsonlines.open(output_dir / "metadata.jsonl", 'w') as writer: + for item in results: + writer.write(item) + print("Done") + + +def main(): + # parse config and args + parser = argparse.ArgumentParser( + description="Preprocess audio and then extract features.") + + parser.add_argument( + "--dataset", + default="baker", + type=str, + help="name of dataset, should in {baker, aishell3, ljspeech, vctk} now") + + parser.add_argument( + "--rootdir", default=None, type=str, help="directory to dataset.") + + parser.add_argument( + "--dumpdir", + type=str, + required=True, + help="directory to dump feature files.") + parser.add_argument( + "--dur-file", default=None, type=str, help="path to durations.txt.") + + parser.add_argument("--config", type=str, help="fastspeech2 config file.") + + parser.add_argument( + "--num-cpu", type=int, default=1, help="number of process.") + + parser.add_argument( + "--cut-sil", + type=str2bool, + default=True, + help="whether cut sil in the edge of audio") + + parser.add_argument( + "--spk_emb_dir", + default=None, + type=str, + help="directory to speaker embedding files.") + args = parser.parse_args() + + rootdir = Path(args.rootdir).expanduser() + dumpdir = Path(args.dumpdir).expanduser() + # use absolute path + dumpdir = dumpdir.resolve() + dumpdir.mkdir(parents=True, exist_ok=True) + dur_file = Path(args.dur_file).expanduser() + + if args.spk_emb_dir: + spk_emb_dir = Path(args.spk_emb_dir).expanduser().resolve() + else: + spk_emb_dir = None + + assert rootdir.is_dir() + assert dur_file.is_file() + + with open(args.config, 'rt') as f: + config = CfgNode(yaml.safe_load(f)) + + sentences, speaker_set = get_phn_dur(dur_file) + + merge_silence(sentences) + phone_id_map_path = dumpdir / "phone_id_map.txt" + speaker_id_map_path = dumpdir / "speaker_id_map.txt" + get_input_token(sentences, phone_id_map_path, args.dataset) + get_spk_id_map(speaker_set, speaker_id_map_path) + + if args.dataset == "baker": + wav_files = sorted(list((rootdir / "Wave").rglob("*.wav"))) + # split data into 3 sections + num_train = 9800 + num_dev = 100 + train_wav_files = wav_files[:num_train] + dev_wav_files = wav_files[num_train:num_train + num_dev] + test_wav_files = wav_files[num_train + num_dev:] + elif args.dataset == "aishell3": + sub_num_dev = 5 + wav_dir = rootdir / "train" / "wav" + train_wav_files = [] + dev_wav_files = [] + test_wav_files = [] + for speaker in os.listdir(wav_dir): + wav_files = sorted(list((wav_dir / speaker).rglob("*.wav"))) + if len(wav_files) > 100: + train_wav_files += wav_files[:-sub_num_dev * 2] + dev_wav_files += wav_files[-sub_num_dev * 2:-sub_num_dev] + test_wav_files += wav_files[-sub_num_dev:] + else: + train_wav_files += wav_files + + elif args.dataset == "ljspeech": + wav_files = sorted(list((rootdir / "wavs").rglob("*.wav"))) + # split data into 3 sections + num_train = 12900 + num_dev = 100 + train_wav_files = wav_files[:num_train] + dev_wav_files = wav_files[num_train:num_train + num_dev] + test_wav_files = wav_files[num_train + num_dev:] + elif args.dataset == "vctk": + sub_num_dev = 5 + wav_dir = rootdir / "wav48_silence_trimmed" + train_wav_files = [] + dev_wav_files = [] + test_wav_files = [] + for speaker in os.listdir(wav_dir): + wav_files = sorted(list((wav_dir / speaker).rglob("*_mic2.flac"))) + if len(wav_files) > 100: + train_wav_files += wav_files[:-sub_num_dev * 2] + dev_wav_files += wav_files[-sub_num_dev * 2:-sub_num_dev] + test_wav_files += wav_files[-sub_num_dev:] + else: + train_wav_files += wav_files + + else: + print("dataset should in {baker, aishell3, ljspeech, vctk} now!") + + train_dump_dir = dumpdir / "train" / "raw" + train_dump_dir.mkdir(parents=True, exist_ok=True) + dev_dump_dir = dumpdir / "dev" / "raw" + dev_dump_dir.mkdir(parents=True, exist_ok=True) + test_dump_dir = dumpdir / "test" / "raw" + test_dump_dir.mkdir(parents=True, exist_ok=True) + + # Extractor + mel_extractor = LogMelFBank( + sr=config.fs, + n_fft=config.n_fft, + hop_length=config.n_shift, + win_length=config.win_length, + window=config.window, + n_mels=config.n_mels, + fmin=config.fmin, + fmax=config.fmax) + + # process for the 3 sections + if train_wav_files: + process_sentences( + config=config, + fps=train_wav_files, + sentences=sentences, + output_dir=train_dump_dir, + mel_extractor=mel_extractor, + nprocs=args.num_cpu, + cut_sil=args.cut_sil, + spk_emb_dir=spk_emb_dir) + if dev_wav_files: + process_sentences( + config=config, + fps=dev_wav_files, + sentences=sentences, + output_dir=dev_dump_dir, + mel_extractor=mel_extractor, + cut_sil=args.cut_sil, + spk_emb_dir=spk_emb_dir) + if test_wav_files: + process_sentences( + config=config, + fps=test_wav_files, + sentences=sentences, + output_dir=test_dump_dir, + mel_extractor=mel_extractor, + nprocs=args.num_cpu, + cut_sil=args.cut_sil, + spk_emb_dir=spk_emb_dir) + + +if __name__ == "__main__": + main() diff --git a/paddlespeech/t2s/exps/ernie_sat/synthesize.py b/paddlespeech/t2s/exps/ernie_sat/synthesize.py new file mode 100644 index 000000000..e69de29bb diff --git a/paddlespeech/t2s/exps/ernie_sat/train.py b/paddlespeech/t2s/exps/ernie_sat/train.py new file mode 100644 index 000000000..fc02a8417 --- /dev/null +++ b/paddlespeech/t2s/exps/ernie_sat/train.py @@ -0,0 +1,194 @@ +# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import argparse +import logging +import os +import shutil +from pathlib import Path + +import jsonlines +import numpy as np +import paddle +import yaml +from paddle import DataParallel +from paddle import distributed as dist +from paddle.io import DataLoader +from paddle.io import DistributedBatchSampler +from yacs.config import CfgNode + +from paddlespeech.t2s.datasets.am_batch_fn import build_erniesat_collate_fn +from paddlespeech.t2s.datasets.data_table import DataTable +from paddlespeech.t2s.models.ernie_sat import ErnieSAT +from paddlespeech.t2s.models.ernie_sat import ErnieSATEvaluator +from paddlespeech.t2s.models.ernie_sat import ErnieSATUpdater +from paddlespeech.t2s.training.extensions.snapshot import Snapshot +from paddlespeech.t2s.training.extensions.visualizer import VisualDL +from paddlespeech.t2s.training.optimizer import build_optimizers +from paddlespeech.t2s.training.seeding import seed_everything +from paddlespeech.t2s.training.trainer import Trainer + + +def train_sp(args, config): + # decides device type and whether to run in parallel + # setup running environment correctly + if (not paddle.is_compiled_with_cuda()) or args.ngpu == 0: + paddle.set_device("cpu") + else: + paddle.set_device("gpu") + world_size = paddle.distributed.get_world_size() + if world_size > 1: + paddle.distributed.init_parallel_env() + + # set the random seed, it is a must for multiprocess training + seed_everything(config.seed) + + print( + f"rank: {dist.get_rank()}, pid: {os.getpid()}, parent_pid: {os.getppid()}", + ) + fields = [ + "text", "text_lengths", "speech", "speech_lengths", "align_start", + "align_end" + ] + converters = {"speech": np.load} + spk_num = None + + # dataloader has been too verbose + logging.getLogger("DataLoader").disabled = True + + # construct dataset for training and validation + with jsonlines.open(args.train_metadata, 'r') as reader: + train_metadata = list(reader) + train_dataset = DataTable( + data=train_metadata, + fields=fields, + converters=converters, ) + with jsonlines.open(args.dev_metadata, 'r') as reader: + dev_metadata = list(reader) + dev_dataset = DataTable( + data=dev_metadata, + fields=fields, + converters=converters, ) + + # collate function and dataloader + collate_fn = build_erniesat_collate_fn( + mlm_prob=config.mlm_prob, + mean_phn_span=config.mean_phn_span, + seg_emb=config.model['enc_input_layer'] == 'sega_mlm', + text_masking=config["model"]["text_masking"], + epoch=config["max_epoch"]) + + train_sampler = DistributedBatchSampler( + train_dataset, + batch_size=config.batch_size, + shuffle=True, + drop_last=True) + + print("samplers done!") + + train_dataloader = DataLoader( + train_dataset, + batch_sampler=train_sampler, + collate_fn=collate_fn, + num_workers=config.num_workers) + + dev_dataloader = DataLoader( + dev_dataset, + shuffle=False, + drop_last=False, + batch_size=config.batch_size, + collate_fn=collate_fn, + num_workers=config.num_workers) + print("dataloaders done!") + + with open(args.phones_dict, "r") as f: + phn_id = [line.strip().split() for line in f.readlines()] + vocab_size = len(phn_id) + print("vocab_size:", vocab_size) + + odim = config.n_mels + model = ErnieSAT(idim=vocab_size, odim=odim, **config["model"]) + + if world_size > 1: + model = DataParallel(model) + print("model done!") + + optimizer = build_optimizers(model, **config["optimizer"]) + print("optimizer done!") + + output_dir = Path(args.output_dir) + output_dir.mkdir(parents=True, exist_ok=True) + if dist.get_rank() == 0: + config_name = args.config.split("/")[-1] + # copy conf to output_dir + shutil.copyfile(args.config, output_dir / config_name) + + updater = ErnieSATUpdater( + model=model, + optimizer=optimizer, + dataloader=train_dataloader, + text_masking=config["model"]["text_masking"], + odim=odim, + output_dir=output_dir) + + trainer = Trainer(updater, (config.max_epoch, 'epoch'), output_dir) + + evaluator = ErnieSATEvaluator( + model=model, + dataloader=dev_dataloader, + text_masking=config["model"]["text_masking"], + odim=odim, + output_dir=output_dir, ) + + if dist.get_rank() == 0: + trainer.extend(evaluator, trigger=(1, "epoch")) + trainer.extend(VisualDL(output_dir), trigger=(1, "iteration")) + trainer.extend( + Snapshot(max_size=config.num_snapshots), trigger=(1, 'epoch')) + trainer.run() + + +def main(): + # parse args and config and redirect to train_sp + parser = argparse.ArgumentParser(description="Train an ErnieSAT model.") + parser.add_argument("--config", type=str, help="ErnieSAT config file.") + parser.add_argument("--train-metadata", type=str, help="training data.") + parser.add_argument("--dev-metadata", type=str, help="dev data.") + parser.add_argument("--output-dir", type=str, help="output dir.") + parser.add_argument( + "--ngpu", type=int, default=1, help="if ngpu=0, use cpu.") + parser.add_argument( + "--phones-dict", type=str, default=None, help="phone vocabulary file.") + + args = parser.parse_args() + + with open(args.config) as f: + config = CfgNode(yaml.safe_load(f)) + + print("========Args========") + print(yaml.safe_dump(vars(args))) + print("========Config========") + print(config) + print( + f"master see the word size: {dist.get_world_size()}, from pid: {os.getpid()}" + ) + + # dispatch + if args.ngpu > 1: + dist.spawn(train_sp, (args, config), nprocs=args.ngpu) + else: + train_sp(args, config) + + +if __name__ == "__main__": + main() diff --git a/paddlespeech/t2s/models/ernie_sat/__init__.py b/paddlespeech/t2s/models/ernie_sat/__init__.py index dc86fa514..7e795370e 100644 --- a/paddlespeech/t2s/models/ernie_sat/__init__.py +++ b/paddlespeech/t2s/models/ernie_sat/__init__.py @@ -1,4 +1,4 @@ -# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. +# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. @@ -11,4 +11,6 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +from .ernie_sat import * +from .ernie_sat_updater import * from .mlm import * diff --git a/paddlespeech/t2s/models/ernie_sat/ernie_sat.py b/paddlespeech/t2s/models/ernie_sat/ernie_sat.py new file mode 100644 index 000000000..9f7f8aa78 --- /dev/null +++ b/paddlespeech/t2s/models/ernie_sat/ernie_sat.py @@ -0,0 +1,670 @@ +# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from typing import Dict +from typing import List +from typing import Optional + +import paddle +from paddle import nn + +from paddlespeech.t2s.modules.activation import get_activation +from paddlespeech.t2s.modules.conformer.convolution import ConvolutionModule +from paddlespeech.t2s.modules.conformer.encoder_layer import EncoderLayer +from paddlespeech.t2s.modules.layer_norm import LayerNorm +from paddlespeech.t2s.modules.masked_fill import masked_fill +from paddlespeech.t2s.modules.nets_utils import initialize +from paddlespeech.t2s.modules.tacotron2.decoder import Postnet +from paddlespeech.t2s.modules.transformer.attention import LegacyRelPositionMultiHeadedAttention +from paddlespeech.t2s.modules.transformer.attention import MultiHeadedAttention +from paddlespeech.t2s.modules.transformer.attention import RelPositionMultiHeadedAttention +from paddlespeech.t2s.modules.transformer.embedding import LegacyRelPositionalEncoding +from paddlespeech.t2s.modules.transformer.embedding import PositionalEncoding +from paddlespeech.t2s.modules.transformer.embedding import RelPositionalEncoding +from paddlespeech.t2s.modules.transformer.embedding import ScaledPositionalEncoding +from paddlespeech.t2s.modules.transformer.multi_layer_conv import Conv1dLinear +from paddlespeech.t2s.modules.transformer.multi_layer_conv import MultiLayeredConv1d +from paddlespeech.t2s.modules.transformer.positionwise_feed_forward import PositionwiseFeedForward +from paddlespeech.t2s.modules.transformer.repeat import repeat +from paddlespeech.t2s.modules.transformer.subsampling import Conv2dSubsampling + + +# MLM -> Mask Language Model +class mySequential(nn.Sequential): + def forward(self, *inputs): + for module in self._sub_layers.values(): + if type(inputs) == tuple: + inputs = module(*inputs) + else: + inputs = module(inputs) + return inputs + + +class MaskInputLayer(nn.Layer): + def __init__(self, out_features: int) -> None: + super().__init__() + self.mask_feature = paddle.create_parameter( + shape=(1, 1, out_features), + dtype=paddle.float32, + default_initializer=paddle.nn.initializer.Assign( + paddle.normal(shape=(1, 1, out_features)))) + + def forward(self, input: paddle.Tensor, + masked_pos: paddle.Tensor=None) -> paddle.Tensor: + masked_pos = paddle.expand_as(paddle.unsqueeze(masked_pos, -1), input) + masked_input = masked_fill(input, masked_pos, 0) + masked_fill( + paddle.expand_as(self.mask_feature, input), ~masked_pos, 0) + return masked_input + + +class MLMEncoder(nn.Layer): + """Conformer encoder module. + + Args: + idim (int): Input dimension. + attention_dim (int): Dimension of attention. + attention_heads (int): The number of heads of multi head attention. + linear_units (int): The number of units of position-wise feed forward. + num_blocks (int): The number of decoder blocks. + dropout_rate (float): Dropout rate. + positional_dropout_rate (float): Dropout rate after adding positional encoding. + attention_dropout_rate (float): Dropout rate in attention. + input_layer (Union[str, paddle.nn.Layer]): Input layer type. + normalize_before (bool): Whether to use layer_norm before the first block. + concat_after (bool): Whether to concat attention layer's input and output. + if True, additional linear will be applied. + i.e. x -> x + linear(concat(x, att(x))) + if False, no additional linear will be applied. i.e. x -> x + att(x) + positionwise_layer_type (str): "linear", "conv1d", or "conv1d-linear". + positionwise_conv_kernel_size (int): Kernel size of positionwise conv1d layer. + macaron_style (bool): Whether to use macaron style for positionwise layer. + pos_enc_layer_type (str): Encoder positional encoding layer type. + selfattention_layer_type (str): Encoder attention layer type. + activation_type (str): Encoder activation function type. + use_cnn_module (bool): Whether to use convolution module. + zero_triu (bool): Whether to zero the upper triangular part of attention matrix. + cnn_module_kernel (int): Kernerl size of convolution module. + padding_idx (int): Padding idx for input_layer=embed. + stochastic_depth_rate (float): Maximum probability to skip the encoder layer. + + """ + + def __init__(self, + idim: int, + vocab_size: int=0, + pre_speech_layer: int=0, + attention_dim: int=256, + attention_heads: int=4, + linear_units: int=2048, + num_blocks: int=6, + dropout_rate: float=0.1, + positional_dropout_rate: float=0.1, + attention_dropout_rate: float=0.0, + input_layer: str="conv2d", + normalize_before: bool=True, + concat_after: bool=False, + positionwise_layer_type: str="linear", + positionwise_conv_kernel_size: int=1, + macaron_style: bool=False, + pos_enc_layer_type: str="abs_pos", + pos_enc_class=None, + selfattention_layer_type: str="selfattn", + activation_type: str="swish", + use_cnn_module: bool=False, + zero_triu: bool=False, + cnn_module_kernel: int=31, + padding_idx: int=-1, + stochastic_depth_rate: float=0.0, + text_masking: bool=False): + """Construct an Encoder object.""" + super().__init__() + self._output_size = attention_dim + self.text_masking = text_masking + if self.text_masking: + self.text_masking_layer = MaskInputLayer(attention_dim) + activation = get_activation(activation_type) + if pos_enc_layer_type == "abs_pos": + pos_enc_class = PositionalEncoding + elif pos_enc_layer_type == "scaled_abs_pos": + pos_enc_class = ScaledPositionalEncoding + elif pos_enc_layer_type == "rel_pos": + assert selfattention_layer_type == "rel_selfattn" + pos_enc_class = RelPositionalEncoding + elif pos_enc_layer_type == "legacy_rel_pos": + pos_enc_class = LegacyRelPositionalEncoding + assert selfattention_layer_type == "legacy_rel_selfattn" + else: + raise ValueError("unknown pos_enc_layer: " + pos_enc_layer_type) + + self.conv_subsampling_factor = 1 + if input_layer == "linear": + self.embed = nn.Sequential( + nn.Linear(idim, attention_dim), + nn.LayerNorm(attention_dim), + nn.Dropout(dropout_rate), + nn.ReLU(), + pos_enc_class(attention_dim, positional_dropout_rate), ) + elif input_layer == "conv2d": + self.embed = Conv2dSubsampling( + idim, + attention_dim, + dropout_rate, + pos_enc_class(attention_dim, positional_dropout_rate), ) + self.conv_subsampling_factor = 4 + elif input_layer == "embed": + self.embed = nn.Sequential( + nn.Embedding(idim, attention_dim, padding_idx=padding_idx), + pos_enc_class(attention_dim, positional_dropout_rate), ) + elif input_layer == "mlm": + self.segment_emb = None + self.speech_embed = mySequential( + MaskInputLayer(idim), + nn.Linear(idim, attention_dim), + nn.LayerNorm(attention_dim), + nn.ReLU(), + pos_enc_class(attention_dim, positional_dropout_rate)) + self.text_embed = nn.Sequential( + nn.Embedding( + vocab_size, attention_dim, padding_idx=padding_idx), + pos_enc_class(attention_dim, positional_dropout_rate), ) + elif input_layer == "sega_mlm": + self.segment_emb = nn.Embedding( + 500, attention_dim, padding_idx=padding_idx) + self.speech_embed = mySequential( + MaskInputLayer(idim), + nn.Linear(idim, attention_dim), + nn.LayerNorm(attention_dim), + nn.ReLU(), + pos_enc_class(attention_dim, positional_dropout_rate)) + self.text_embed = nn.Sequential( + nn.Embedding( + vocab_size, attention_dim, padding_idx=padding_idx), + pos_enc_class(attention_dim, positional_dropout_rate), ) + elif isinstance(input_layer, nn.Layer): + self.embed = nn.Sequential( + input_layer, + pos_enc_class(attention_dim, positional_dropout_rate), ) + elif input_layer is None: + self.embed = nn.Sequential( + pos_enc_class(attention_dim, positional_dropout_rate)) + else: + raise ValueError("unknown input_layer: " + input_layer) + self.normalize_before = normalize_before + + # self-attention module definition + if selfattention_layer_type == "selfattn": + encoder_selfattn_layer = MultiHeadedAttention + encoder_selfattn_layer_args = (attention_heads, attention_dim, + attention_dropout_rate, ) + elif selfattention_layer_type == "legacy_rel_selfattn": + assert pos_enc_layer_type == "legacy_rel_pos" + encoder_selfattn_layer = LegacyRelPositionMultiHeadedAttention + encoder_selfattn_layer_args = (attention_heads, attention_dim, + attention_dropout_rate, ) + elif selfattention_layer_type == "rel_selfattn": + assert pos_enc_layer_type == "rel_pos" + encoder_selfattn_layer = RelPositionMultiHeadedAttention + encoder_selfattn_layer_args = (attention_heads, attention_dim, + attention_dropout_rate, zero_triu, ) + else: + raise ValueError("unknown encoder_attn_layer: " + + selfattention_layer_type) + + # feed-forward module definition + if positionwise_layer_type == "linear": + positionwise_layer = PositionwiseFeedForward + positionwise_layer_args = (attention_dim, linear_units, + dropout_rate, activation, ) + elif positionwise_layer_type == "conv1d": + positionwise_layer = MultiLayeredConv1d + positionwise_layer_args = (attention_dim, linear_units, + positionwise_conv_kernel_size, + dropout_rate, ) + elif positionwise_layer_type == "conv1d-linear": + positionwise_layer = Conv1dLinear + positionwise_layer_args = (attention_dim, linear_units, + positionwise_conv_kernel_size, + dropout_rate, ) + else: + raise NotImplementedError("Support only linear or conv1d.") + + # convolution module definition + convolution_layer = ConvolutionModule + convolution_layer_args = (attention_dim, cnn_module_kernel, activation) + + self.encoders = repeat( + num_blocks, + lambda lnum: EncoderLayer( + attention_dim, + encoder_selfattn_layer(*encoder_selfattn_layer_args), + positionwise_layer(*positionwise_layer_args), + positionwise_layer(*positionwise_layer_args) if macaron_style else None, + convolution_layer(*convolution_layer_args) if use_cnn_module else None, + dropout_rate, + normalize_before, + concat_after, + stochastic_depth_rate * float(1 + lnum) / num_blocks, ), ) + self.pre_speech_layer = pre_speech_layer + self.pre_speech_encoders = repeat( + self.pre_speech_layer, + lambda lnum: EncoderLayer( + attention_dim, + encoder_selfattn_layer(*encoder_selfattn_layer_args), + positionwise_layer(*positionwise_layer_args), + positionwise_layer(*positionwise_layer_args) if macaron_style else None, + convolution_layer(*convolution_layer_args) if use_cnn_module else None, + dropout_rate, + normalize_before, + concat_after, + stochastic_depth_rate * float(1 + lnum) / self.pre_speech_layer, ), + ) + if self.normalize_before: + self.after_norm = LayerNorm(attention_dim) + + def forward(self, + speech: paddle.Tensor, + text: paddle.Tensor, + masked_pos: paddle.Tensor, + speech_mask: paddle.Tensor=None, + text_mask: paddle.Tensor=None, + speech_seg_pos: paddle.Tensor=None, + text_seg_pos: paddle.Tensor=None): + """Encode input sequence. + + """ + if masked_pos is not None: + speech = self.speech_embed(speech, masked_pos) + else: + speech = self.speech_embed(speech) + if text is not None: + text = self.text_embed(text) + if speech_seg_pos is not None and text_seg_pos is not None and self.segment_emb: + speech_seg_emb = self.segment_emb(speech_seg_pos) + text_seg_emb = self.segment_emb(text_seg_pos) + text = (text[0] + text_seg_emb, text[1]) + speech = (speech[0] + speech_seg_emb, speech[1]) + if self.pre_speech_encoders: + speech, _ = self.pre_speech_encoders(speech, speech_mask) + + if text is not None: + xs = paddle.concat([speech[0], text[0]], axis=1) + xs_pos_emb = paddle.concat([speech[1], text[1]], axis=1) + masks = paddle.concat([speech_mask, text_mask], axis=-1) + else: + xs = speech[0] + xs_pos_emb = speech[1] + masks = speech_mask + + xs, masks = self.encoders((xs, xs_pos_emb), masks) + + if isinstance(xs, tuple): + xs = xs[0] + if self.normalize_before: + xs = self.after_norm(xs) + + return xs, masks + + +class MLMDecoder(MLMEncoder): + def forward(self, xs: paddle.Tensor, masks: paddle.Tensor): + """Encode input sequence. + + Args: + xs (paddle.Tensor): Input tensor (#batch, time, idim). + masks (paddle.Tensor): Mask tensor (#batch, time). + + Returns: + paddle.Tensor: Output tensor (#batch, time, attention_dim). + paddle.Tensor: Mask tensor (#batch, time). + + """ + xs = self.embed(xs) + xs, masks = self.encoders(xs, masks) + + if isinstance(xs, tuple): + xs = xs[0] + if self.normalize_before: + xs = self.after_norm(xs) + + return xs, masks + + +# encoder and decoder is nn.Layer, not str +class MLM(nn.Layer): + def __init__(self, + odim: int, + encoder: nn.Layer, + decoder: Optional[nn.Layer], + postnet_layers: int=0, + postnet_chans: int=0, + postnet_filts: int=0, + text_masking: bool=False): + + super().__init__() + self.odim = odim + self.encoder = encoder + self.decoder = decoder + self.vocab_size = encoder.text_embed[0]._num_embeddings + + if self.decoder is None or not (hasattr(self.decoder, + 'output_layer') and + self.decoder.output_layer is not None): + self.sfc = nn.Linear(self.encoder._output_size, odim) + else: + self.sfc = None + if text_masking: + self.text_sfc = nn.Linear( + self.encoder.text_embed[0]._embedding_dim, + self.vocab_size, + weight_attr=self.encoder.text_embed[0]._weight_attr) + else: + self.text_sfc = None + + self.postnet = (None if postnet_layers == 0 else Postnet( + idim=self.encoder._output_size, + odim=odim, + n_layers=postnet_layers, + n_chans=postnet_chans, + n_filts=postnet_filts, + use_batch_norm=True, + dropout_rate=0.5, )) + + def inference( + self, + speech: paddle.Tensor, + text: paddle.Tensor, + masked_pos: paddle.Tensor, + speech_mask: paddle.Tensor, + text_mask: paddle.Tensor, + speech_seg_pos: paddle.Tensor, + text_seg_pos: paddle.Tensor, + span_bdy: List[int], + use_teacher_forcing: bool=False, ) -> Dict[str, paddle.Tensor]: + ''' + Args: + speech (paddle.Tensor): input speech (1, Tmax, D). + text (paddle.Tensor): input text (1, Tmax2). + masked_pos (paddle.Tensor): masked position of input speech (1, Tmax) + speech_mask (paddle.Tensor): mask of speech (1, 1, Tmax). + text_mask (paddle.Tensor): mask of text (1, 1, Tmax2). + speech_seg_pos (paddle.Tensor): n-th phone of each mel, 0<=n<=Tmax2 (1, Tmax). + text_seg_pos (paddle.Tensor): n-th phone of each phone, 0<=n<=Tmax2 (1, Tmax2). + span_bdy (List[int]): masked mel boundary of input speech (2,) + use_teacher_forcing (bool): whether to use teacher forcing + Returns: + List[Tensor]: + eg: + [Tensor(shape=[1, 181, 80]), Tensor(shape=[80, 80]), Tensor(shape=[1, 67, 80])] + ''' + + z_cache = None + if use_teacher_forcing: + before_outs, zs, *_ = self.forward( + speech=speech, + text=text, + masked_pos=masked_pos, + speech_mask=speech_mask, + text_mask=text_mask, + speech_seg_pos=speech_seg_pos, + text_seg_pos=text_seg_pos) + if zs is None: + zs = before_outs + + speech = speech.squeeze(0) + outs = [speech[:span_bdy[0]]] + outs += [zs[0][span_bdy[0]:span_bdy[1]]] + outs += [speech[span_bdy[1]:]] + return outs + return None + + +class MLMEncAsDecoder(MLM): + def forward(self, + speech: paddle.Tensor, + text: paddle.Tensor, + masked_pos: paddle.Tensor, + speech_mask: paddle.Tensor, + text_mask: paddle.Tensor, + speech_seg_pos: paddle.Tensor, + text_seg_pos: paddle.Tensor): + # feats: (Batch, Length, Dim) + # -> encoder_out: (Batch, Length2, Dim2) + encoder_out, h_masks = self.encoder( + speech=speech, + text=text, + masked_pos=masked_pos, + speech_mask=speech_mask, + text_mask=text_mask, + speech_seg_pos=speech_seg_pos, + text_seg_pos=text_seg_pos) + if self.decoder is not None: + zs, _ = self.decoder(encoder_out, h_masks) + else: + zs = encoder_out + speech_hidden_states = zs[:, :paddle.shape(speech)[1], :] + if self.sfc is not None: + before_outs = paddle.reshape( + self.sfc(speech_hidden_states), + (paddle.shape(speech_hidden_states)[0], -1, self.odim)) + else: + before_outs = speech_hidden_states + if self.postnet is not None: + after_outs = before_outs + paddle.transpose( + self.postnet(paddle.transpose(before_outs, [0, 2, 1])), + [0, 2, 1]) + else: + after_outs = None + return before_outs, after_outs, None + + +class MLMDualMaksing(MLM): + def forward(self, + speech: paddle.Tensor, + text: paddle.Tensor, + masked_pos: paddle.Tensor, + speech_mask: paddle.Tensor, + text_mask: paddle.Tensor, + speech_seg_pos: paddle.Tensor, + text_seg_pos: paddle.Tensor): + # feats: (Batch, Length, Dim) + # -> encoder_out: (Batch, Length2, Dim2) + encoder_out, h_masks = self.encoder( + speech=speech, + text=text, + masked_pos=masked_pos, + speech_mask=speech_mask, + text_mask=text_mask, + speech_seg_pos=speech_seg_pos, + text_seg_pos=text_seg_pos) + if self.decoder is not None: + zs, _ = self.decoder(encoder_out, h_masks) + else: + zs = encoder_out + speech_hidden_states = zs[:, :paddle.shape(speech)[1], :] + if self.text_sfc: + text_hiddent_states = zs[:, paddle.shape(speech)[1]:, :] + text_outs = paddle.reshape( + self.text_sfc(text_hiddent_states), + (paddle.shape(text_hiddent_states)[0], -1, self.vocab_size)) + if self.sfc is not None: + before_outs = paddle.reshape( + self.sfc(speech_hidden_states), + (paddle.shape(speech_hidden_states)[0], -1, self.odim)) + else: + before_outs = speech_hidden_states + if self.postnet is not None: + after_outs = before_outs + paddle.transpose( + self.postnet(paddle.transpose(before_outs, [0, 2, 1])), + [0, 2, 1]) + else: + after_outs = None + return before_outs, after_outs, text_outs + + +class ErnieSAT(nn.Layer): + def __init__( + self, + # network structure related + idim: int, + odim: int, + postnet_layers: int=5, + postnet_filts: int=5, + postnet_chans: int=256, + use_scaled_pos_enc: bool=False, + encoder_type: str='conformer', + decoder_type: str='conformer', + enc_input_layer: str='sega_mlm', + enc_pre_speech_layer: int=0, + enc_cnn_module_kernel: int=7, + enc_attention_dim: int=384, + enc_attention_heads: int=2, + enc_linear_units: int=1536, + enc_num_blocks: int=4, + enc_dropout_rate: float=0.2, + enc_positional_dropout_rate: float=0.2, + enc_attention_dropout_rate: float=0.2, + enc_normalize_before: bool=True, + enc_macaron_style: bool=True, + enc_use_cnn_module: bool=True, + enc_selfattention_layer_type: str='legacy_rel_selfattn', + enc_activation_type: str='swish', + enc_pos_enc_layer_type: str='legacy_rel_pos', + enc_positionwise_layer_type: str='conv1d', + enc_positionwise_conv_kernel_size: int=3, + text_masking: bool=False, + dec_cnn_module_kernel: int=31, + dec_attention_dim: int=384, + dec_attention_heads: int=2, + dec_linear_units: int=1536, + dec_num_blocks: int=4, + dec_dropout_rate: float=0.2, + dec_positional_dropout_rate: float=0.2, + dec_attention_dropout_rate: float=0.2, + dec_macaron_style: bool=True, + dec_use_cnn_module: bool=True, + dec_selfattention_layer_type: str='legacy_rel_selfattn', + dec_activation_type: str='swish', + dec_pos_enc_layer_type: str='legacy_rel_pos', + dec_positionwise_layer_type: str='conv1d', + dec_positionwise_conv_kernel_size: int=3, + init_type: str="xavier_uniform", ): + super().__init__() + # store hyperparameters + self.odim = odim + + self.use_scaled_pos_enc = use_scaled_pos_enc + + # initialize parameters + initialize(self, init_type) + + # Encoder + if encoder_type == "conformer": + encoder = MLMEncoder( + idim=odim, + vocab_size=idim, + pre_speech_layer=enc_pre_speech_layer, + attention_dim=enc_attention_dim, + attention_heads=enc_attention_heads, + linear_units=enc_linear_units, + num_blocks=enc_num_blocks, + dropout_rate=enc_dropout_rate, + positional_dropout_rate=enc_positional_dropout_rate, + attention_dropout_rate=enc_attention_dropout_rate, + input_layer=enc_input_layer, + normalize_before=enc_normalize_before, + positionwise_layer_type=enc_positionwise_layer_type, + positionwise_conv_kernel_size=enc_positionwise_conv_kernel_size, + macaron_style=enc_macaron_style, + pos_enc_layer_type=enc_pos_enc_layer_type, + selfattention_layer_type=enc_selfattention_layer_type, + activation_type=enc_activation_type, + use_cnn_module=enc_use_cnn_module, + cnn_module_kernel=enc_cnn_module_kernel, + text_masking=text_masking) + else: + raise ValueError(f"{encoder_type} is not supported.") + + # Decoder + if decoder_type != 'no_decoder': + decoder = MLMDecoder( + idim=0, + input_layer=None, + cnn_module_kernel=dec_cnn_module_kernel, + attention_dim=dec_attention_dim, + attention_heads=dec_attention_heads, + linear_units=dec_linear_units, + num_blocks=dec_num_blocks, + dropout_rate=dec_dropout_rate, + positional_dropout_rate=dec_positional_dropout_rate, + macaron_style=dec_macaron_style, + use_cnn_module=dec_use_cnn_module, + selfattention_layer_type=dec_selfattention_layer_type, + activation_type=dec_activation_type, + pos_enc_layer_type=dec_pos_enc_layer_type, + positionwise_layer_type=dec_positionwise_layer_type, + positionwise_conv_kernel_size=dec_positionwise_conv_kernel_size) + + else: + decoder = None + + model_class = MLMDualMaksing if text_masking else MLMEncAsDecoder + + self.model = model_class( + odim=odim, + encoder=encoder, + decoder=decoder, + postnet_layers=postnet_layers, + postnet_filts=postnet_filts, + postnet_chans=postnet_chans, + text_masking=text_masking) + + nn.initializer.set_global_initializer(None) + + def forward(self, + speech: paddle.Tensor, + text: paddle.Tensor, + masked_pos: paddle.Tensor, + speech_mask: paddle.Tensor, + text_mask: paddle.Tensor, + speech_seg_pos: paddle.Tensor, + text_seg_pos: paddle.Tensor): + return self.model( + speech=speech, + text=text, + masked_pos=masked_pos, + speech_mask=speech_mask, + text_mask=text_mask, + speech_seg_pos=speech_seg_pos, + text_seg_pos=text_seg_pos) + + def inference( + self, + speech: paddle.Tensor, + text: paddle.Tensor, + masked_pos: paddle.Tensor, + speech_mask: paddle.Tensor, + text_mask: paddle.Tensor, + speech_seg_pos: paddle.Tensor, + text_seg_pos: paddle.Tensor, + span_bdy: List[int], + use_teacher_forcing: bool=False, ) -> Dict[str, paddle.Tensor]: + return self.model.inference( + speech=speech, + text=text, + masked_pos=masked_pos, + speech_mask=speech_mask, + text_mask=text_mask, + speech_seg_pos=speech_seg_pos, + text_seg_pos=text_seg_pos, + span_bdy=span_bdy, + use_teacher_forcing=use_teacher_forcing) diff --git a/paddlespeech/t2s/models/ernie_sat/ernie_sat_updater.py b/paddlespeech/t2s/models/ernie_sat/ernie_sat_updater.py new file mode 100644 index 000000000..399922338 --- /dev/null +++ b/paddlespeech/t2s/models/ernie_sat/ernie_sat_updater.py @@ -0,0 +1,148 @@ +# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import logging +from pathlib import Path + +from paddle import distributed as dist +from paddle.io import DataLoader +from paddle.nn import Layer +from paddle.optimizer import Optimizer + +from paddlespeech.t2s.modules.losses import MLMLoss +from paddlespeech.t2s.training.extensions.evaluator import StandardEvaluator +from paddlespeech.t2s.training.reporter import report +from paddlespeech.t2s.training.updaters.standard_updater import StandardUpdater +logging.basicConfig( + format='%(asctime)s [%(levelname)s] [%(filename)s:%(lineno)d] %(message)s', + datefmt='[%Y-%m-%d %H:%M:%S]') +logger = logging.getLogger(__name__) +logger.setLevel(logging.INFO) + + +class ErnieSATUpdater(StandardUpdater): + def __init__(self, + model: Layer, + optimizer: Optimizer, + dataloader: DataLoader, + init_state=None, + text_masking: bool=False, + odim: int=80, + output_dir: Path=None): + super().__init__(model, optimizer, dataloader, init_state=None) + + self.criterion = MLMLoss(text_masking=text_masking, odim=odim) + + log_file = output_dir / 'worker_{}.log'.format(dist.get_rank()) + self.filehandler = logging.FileHandler(str(log_file)) + logger.addHandler(self.filehandler) + self.logger = logger + self.msg = "" + + def update_core(self, batch): + self.msg = "Rank: {}, ".format(dist.get_rank()) + losses_dict = {} + + before_outs, after_outs, text_outs = self.model( + speech=batch["speech"], + text=batch["text"], + masked_pos=batch["masked_pos"], + speech_mask=batch["speech_mask"], + text_mask=batch["text_mask"], + speech_seg_pos=batch["speech_seg_pos"], + text_seg_pos=batch["text_seg_pos"]) + + mlm_loss, text_mlm_loss = self.criterion( + speech=batch["speech"], + before_outs=before_outs, + after_outs=after_outs, + masked_pos=batch["masked_pos"], + text=batch["text"], + # maybe None + text_outs=text_outs, + # maybe None + text_masked_pos=batch["text_masked_pos"]) + + loss = mlm_loss + text_mlm_loss if text_mlm_loss is not None else mlm_loss + + optimizer = self.optimizer + optimizer.clear_grad() + loss.backward() + optimizer.step() + + report("train/loss", float(loss)) + report("train/mlm_loss", float(mlm_loss)) + if text_mlm_loss is not None: + report("train/text_mlm_loss", float(text_mlm_loss)) + losses_dict["text_mlm_loss"] = float(text_mlm_loss) + + losses_dict["mlm_loss"] = float(mlm_loss) + losses_dict["loss"] = float(loss) + self.msg += ', '.join('{}: {:>.6f}'.format(k, v) + for k, v in losses_dict.items()) + + +class ErnieSATEvaluator(StandardEvaluator): + def __init__(self, + model: Layer, + dataloader: DataLoader, + text_masking: bool=False, + odim: int=80, + output_dir: Path=None): + super().__init__(model, dataloader) + + log_file = output_dir / 'worker_{}.log'.format(dist.get_rank()) + self.filehandler = logging.FileHandler(str(log_file)) + logger.addHandler(self.filehandler) + self.logger = logger + self.msg = "" + + self.criterion = MLMLoss(text_masking=text_masking, odim=odim) + + def evaluate_core(self, batch): + self.msg = "Evaluate: " + losses_dict = {} + + before_outs, after_outs, text_outs = self.model( + speech=batch["speech"], + text=batch["text"], + masked_pos=batch["masked_pos"], + speech_mask=batch["speech_mask"], + text_mask=batch["text_mask"], + speech_seg_pos=batch["speech_seg_pos"], + text_seg_pos=batch["text_seg_pos"]) + + mlm_loss, text_mlm_loss = self.criterion( + speech=batch["speech"], + before_outs=before_outs, + after_outs=after_outs, + masked_pos=batch["masked_pos"], + text=batch["text"], + # maybe None + text_outs=text_outs, + # maybe None + text_masked_pos=batch["text_masked_pos"]) + loss = mlm_loss + text_mlm_loss if text_mlm_loss is not None else mlm_loss + + report("eval/loss", float(loss)) + report("eval/mlm_loss", float(mlm_loss)) + if text_mlm_loss is not None: + report("eval/text_mlm_loss", float(text_mlm_loss)) + losses_dict["text_mlm_loss"] = float(text_mlm_loss) + + losses_dict["mlm_loss"] = float(mlm_loss) + losses_dict["loss"] = float(loss) + + self.msg += ', '.join('{}: {:>.6f}'.format(k, v) + for k, v in losses_dict.items()) + self.logger.info(self.msg) diff --git a/paddlespeech/t2s/models/ernie_sat/mlm.py b/paddlespeech/t2s/models/ernie_sat/mlm.py index c9c3d67a6..647fdd9b4 100644 --- a/paddlespeech/t2s/models/ernie_sat/mlm.py +++ b/paddlespeech/t2s/models/ernie_sat/mlm.py @@ -1,9 +1,20 @@ +# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import argparse from typing import Dict from typing import List from typing import Optional -from typing import Tuple -from typing import Union import paddle import yaml @@ -109,7 +120,6 @@ class MLMEncoder(nn.Layer): positionwise_conv_kernel_size: int=1, macaron_style: bool=False, pos_enc_layer_type: str="abs_pos", - pos_enc_class=None, selfattention_layer_type: str="selfattn", activation_type: str="swish", use_cnn_module: bool=False, @@ -334,7 +344,6 @@ class MLMDecoder(MLMEncoder): # encoder and decoder is nn.Layer, not str class MLM(nn.Layer): def __init__(self, - token_list: Union[Tuple[str, ...], List[str]], odim: int, encoder: nn.Layer, decoder: Optional[nn.Layer], @@ -345,7 +354,6 @@ class MLM(nn.Layer): super().__init__() self.odim = odim - self.token_list = token_list.copy() self.encoder = encoder self.decoder = decoder self.vocab_size = encoder.text_embed[0]._num_embeddings @@ -535,32 +543,6 @@ def build_model(args: argparse.Namespace, model_class=MLMEncAsDecoder) -> MLM: vocab_size = len(token_list) odim = 80 - pos_enc_class = ScaledPositionalEncoding if args.use_scaled_pos_enc else PositionalEncoding - - if "conformer" == args.encoder: - conformer_self_attn_layer_type = args.encoder_conf[ - 'selfattention_layer_type'] - conformer_pos_enc_layer_type = args.encoder_conf['pos_enc_layer_type'] - conformer_rel_pos_type = "legacy" - if conformer_rel_pos_type == "legacy": - if conformer_pos_enc_layer_type == "rel_pos": - conformer_pos_enc_layer_type = "legacy_rel_pos" - if conformer_self_attn_layer_type == "rel_selfattn": - conformer_self_attn_layer_type = "legacy_rel_selfattn" - elif conformer_rel_pos_type == "latest": - assert conformer_pos_enc_layer_type != "legacy_rel_pos" - assert conformer_self_attn_layer_type != "legacy_rel_selfattn" - else: - raise ValueError(f"Unknown rel_pos_type: {conformer_rel_pos_type}") - args.encoder_conf[ - 'selfattention_layer_type'] = conformer_self_attn_layer_type - args.encoder_conf['pos_enc_layer_type'] = conformer_pos_enc_layer_type - if "conformer" == args.decoder: - args.decoder_conf[ - 'selfattention_layer_type'] = conformer_self_attn_layer_type - args.decoder_conf[ - 'pos_enc_layer_type'] = conformer_pos_enc_layer_type - # Encoder encoder_class = MLMEncoder @@ -571,10 +553,7 @@ def build_model(args: argparse.Namespace, model_class=MLMEncAsDecoder) -> MLM: args.encoder_conf['text_masking'] = False encoder = encoder_class( - args.input_size, - vocab_size=vocab_size, - pos_enc_class=pos_enc_class, - **args.encoder_conf) + args.input_size, vocab_size=vocab_size, **args.encoder_conf) # Decoder if args.decoder != 'no_decoder': @@ -591,7 +570,6 @@ def build_model(args: argparse.Namespace, model_class=MLMEncAsDecoder) -> MLM: odim=odim, encoder=encoder, decoder=decoder, - token_list=token_list, **args.model_conf, ) # Initialize diff --git a/paddlespeech/t2s/models/fastspeech2/fastspeech2.py b/paddlespeech/t2s/models/fastspeech2/fastspeech2.py index 48595bb25..790c0e520 100644 --- a/paddlespeech/t2s/models/fastspeech2/fastspeech2.py +++ b/paddlespeech/t2s/models/fastspeech2/fastspeech2.py @@ -212,9 +212,7 @@ class FastSpeech2(nn.Layer): super().__init__() # store hyperparameters - self.idim = idim self.odim = odim - self.eos = idim - 1 self.reduction_factor = reduction_factor self.encoder_type = encoder_type self.decoder_type = decoder_type diff --git a/paddlespeech/t2s/modules/losses.py b/paddlespeech/t2s/modules/losses.py index 4726f40ec..95f2ff864 100644 --- a/paddlespeech/t2s/modules/losses.py +++ b/paddlespeech/t2s/modules/losses.py @@ -1012,6 +1012,7 @@ class KLDivergenceLoss(nn.Layer): # loss for ERNIE SAT class MLMLoss(nn.Layer): def __init__(self, + odim: int, lsm_weight: float=0.1, ignore_id: int=-1, text_masking: bool=False): @@ -1023,15 +1024,18 @@ class MLMLoss(nn.Layer): else: self.l1_loss_func = nn.L1Loss(reduction='none') self.text_masking = text_masking + self.odim = odim - def forward(self, - speech: paddle.Tensor, - before_outs: paddle.Tensor, - after_outs: paddle.Tensor, - masked_pos: paddle.Tensor, - text: paddle.Tensor=None, - text_outs: paddle.Tensor=None, - text_masked_pos: paddle.Tensor=None): + def forward( + self, + speech: paddle.Tensor, + before_outs: paddle.Tensor, + after_outs: paddle.Tensor, + masked_pos: paddle.Tensor, + # for text_loss when text_masking == True + text: paddle.Tensor=None, + text_outs: paddle.Tensor=None, + text_masked_pos: paddle.Tensor=None): xs_pad = speech mlm_loss_pos = masked_pos > 0 @@ -1046,16 +1050,19 @@ class MLMLoss(nn.Layer): paddle.reshape(after_outs, (-1, self.odim)), paddle.reshape(xs_pad, (-1, self.odim))), axis=-1) - loss_mlm = paddle.sum((loss * paddle.reshape( + mlm_loss = paddle.sum((loss * paddle.reshape( mlm_loss_pos, [-1]))) / paddle.sum((mlm_loss_pos) + 1e-10) + text_mlm_loss = None + if self.text_masking: - loss_text = paddle.sum((self.text_mlm_loss( + assert text is not None + assert text_outs is not None + assert text_masked_pos is not None + text_mlm_loss = paddle.sum((self.text_mlm_loss( paddle.reshape(text_outs, (-1, self.vocab_size)), paddle.reshape(text, (-1))) * paddle.reshape( text_masked_pos, (-1)))) / paddle.sum((text_masked_pos) + 1e-10) - return loss_mlm, loss_text - - return loss_mlm + return mlm_loss, text_mlm_loss diff --git a/paddlespeech/t2s/modules/nets_utils.py b/paddlespeech/t2s/modules/nets_utils.py index 0238f4dba..608a47421 100644 --- a/paddlespeech/t2s/modules/nets_utils.py +++ b/paddlespeech/t2s/modules/nets_utils.py @@ -393,7 +393,6 @@ def phones_masking(xs_pad: paddle.Tensor, mean_phn_span=mean_phn_span).nonzero() masked_start = align_start[idx][masked_phn_idxs].tolist() masked_end = align_end[idx][masked_phn_idxs].tolist() - for s, e in zip(masked_start, masked_end): masked_pos[idx, s:e] = 1 non_eos_mask = paddle.reshape(src_mask, paddle.shape(xs_pad)[:2]) From 028742b69ae4c305a5d483d55fb018c92c684f9a Mon Sep 17 00:00:00 2001 From: TianYuan Date: Sat, 9 Jul 2022 01:11:44 +0000 Subject: [PATCH 078/192] update lr scheduler --- examples/vctk/ernie_sat/conf/default.yaml | 9 ++++---- paddlespeech/t2s/exps/ernie_sat/train.py | 21 +++++++++++++++++-- .../t2s/models/ernie_sat/ernie_sat_updater.py | 12 ++++++++--- 3 files changed, 33 insertions(+), 9 deletions(-) diff --git a/examples/vctk/ernie_sat/conf/default.yaml b/examples/vctk/ernie_sat/conf/default.yaml index 99247659b..74c847a5f 100644 --- a/examples/vctk/ernie_sat/conf/default.yaml +++ b/examples/vctk/ernie_sat/conf/default.yaml @@ -71,9 +71,10 @@ model: ########################################################### # OPTIMIZER SETTING # ########################################################### -optimizer: - optim: adam # optimizer type - learning_rate: 0.001 # learning rate +scheduler_params: + d_model: 384 + warmup_steps: 4000 +grad_clip: 1.0 ########################################################### # TRAINING SETTING # @@ -84,7 +85,7 @@ num_snapshots: 5 ########################################################### # OTHER SETTING # ########################################################### -seed: 10086 +seed: 0 token_list: - diff --git a/paddlespeech/t2s/exps/ernie_sat/train.py b/paddlespeech/t2s/exps/ernie_sat/train.py index fc02a8417..733544476 100644 --- a/paddlespeech/t2s/exps/ernie_sat/train.py +++ b/paddlespeech/t2s/exps/ernie_sat/train.py @@ -23,8 +23,10 @@ import paddle import yaml from paddle import DataParallel from paddle import distributed as dist +from paddle import nn from paddle.io import DataLoader from paddle.io import DistributedBatchSampler +from paddle.optimizer import Adam from yacs.config import CfgNode from paddlespeech.t2s.datasets.am_batch_fn import build_erniesat_collate_fn @@ -34,7 +36,6 @@ from paddlespeech.t2s.models.ernie_sat import ErnieSATEvaluator from paddlespeech.t2s.models.ernie_sat import ErnieSATUpdater from paddlespeech.t2s.training.extensions.snapshot import Snapshot from paddlespeech.t2s.training.extensions.visualizer import VisualDL -from paddlespeech.t2s.training.optimizer import build_optimizers from paddlespeech.t2s.training.seeding import seed_everything from paddlespeech.t2s.training.trainer import Trainer @@ -118,12 +119,27 @@ def train_sp(args, config): odim = config.n_mels model = ErnieSAT(idim=vocab_size, odim=odim, **config["model"]) + # model_path = "/home/yuantian01/PaddleSpeech_ERNIE_SAT/PaddleSpeech/examples/ernie_sat/pretrained_model/paddle_checkpoint_en/model.pdparams" + # state_dict = paddle.load(model_path) + # new_state_dict = {} + # for key, value in state_dict.items(): + # new_key = "model." + key + # new_state_dict[new_key] = value + # model.set_state_dict(new_state_dict) if world_size > 1: model = DataParallel(model) print("model done!") - optimizer = build_optimizers(model, **config["optimizer"]) + scheduler = paddle.optimizer.lr.NoamDecay( + d_model=config["scheduler_params"]["d_model"], + warmup_steps=config["scheduler_params"]["warmup_steps"]) + grad_clip = nn.ClipGradByGlobalNorm(config["grad_clip"]) + optimizer = Adam( + learning_rate=scheduler, + grad_clip=grad_clip, + parameters=model.parameters()) + print("optimizer done!") output_dir = Path(args.output_dir) @@ -136,6 +152,7 @@ def train_sp(args, config): updater = ErnieSATUpdater( model=model, optimizer=optimizer, + scheduler=scheduler, dataloader=train_dataloader, text_masking=config["model"]["text_masking"], odim=odim, diff --git a/paddlespeech/t2s/models/ernie_sat/ernie_sat_updater.py b/paddlespeech/t2s/models/ernie_sat/ernie_sat_updater.py index 399922338..17cfaae96 100644 --- a/paddlespeech/t2s/models/ernie_sat/ernie_sat_updater.py +++ b/paddlespeech/t2s/models/ernie_sat/ernie_sat_updater.py @@ -18,6 +18,7 @@ from paddle import distributed as dist from paddle.io import DataLoader from paddle.nn import Layer from paddle.optimizer import Optimizer +from paddle.optimizer.lr import LRScheduler from paddlespeech.t2s.modules.losses import MLMLoss from paddlespeech.t2s.training.extensions.evaluator import StandardEvaluator @@ -34,12 +35,14 @@ class ErnieSATUpdater(StandardUpdater): def __init__(self, model: Layer, optimizer: Optimizer, + scheduler: LRScheduler, dataloader: DataLoader, init_state=None, text_masking: bool=False, odim: int=80, output_dir: Path=None): super().__init__(model, optimizer, dataloader, init_state=None) + self.scheduler = scheduler self.criterion = MLMLoss(text_masking=text_masking, odim=odim) @@ -75,10 +78,12 @@ class ErnieSATUpdater(StandardUpdater): loss = mlm_loss + text_mlm_loss if text_mlm_loss is not None else mlm_loss - optimizer = self.optimizer - optimizer.clear_grad() + self.optimizer.clear_grad() + loss.backward() - optimizer.step() + self.optimizer.step() + self.scheduler.step() + scheduler_msg = 'lr: {}'.format(self.scheduler.last_lr) report("train/loss", float(loss)) report("train/mlm_loss", float(mlm_loss)) @@ -90,6 +95,7 @@ class ErnieSATUpdater(StandardUpdater): losses_dict["loss"] = float(loss) self.msg += ', '.join('{}: {:>.6f}'.format(k, v) for k, v in losses_dict.items()) + self.msg += ', ' + scheduler_msg class ErnieSATEvaluator(StandardEvaluator): From 1ad21f3ccbd35e9c44b892bfc0994426eb487df1 Mon Sep 17 00:00:00 2001 From: "Y.D.X" <73375426+YDX-2147483647@users.noreply.github.com> Date: Sat, 9 Jul 2022 23:45:33 +0800 Subject: [PATCH 079/192] fix a markdown typo MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Remove the space between `[…]` and `(…)`. --- docs/source/install.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/install.md b/docs/source/install.md index e8bd5adf9..83b646198 100644 --- a/docs/source/install.md +++ b/docs/source/install.md @@ -10,7 +10,7 @@ There are 3 ways to use `PaddleSpeech`. According to the degree of difficulty, t ## Prerequisites - Python >= 3.7 -- PaddlePaddle latest version (please refer to the [Installation Guide] (https://www.paddlepaddle.org.cn/documentation/docs/en/beginners_guide/index_en.html)) +- PaddlePaddle latest version (please refer to the [Installation Guide](https://www.paddlepaddle.org.cn/documentation/docs/en/beginners_guide/index_en.html)) - C++ compilation environment - Hip: For Linux and Mac, do not use command `sh` instead of command `bash` in installation document. - Hip: We recommand you to install `paddlepaddle` from https://mirror.baidu.com/pypi/simple and install `paddlespeech` from https://pypi.tuna.tsinghua.edu.cn/simple. From d31c9b6e8a596a95bdd6363fcec6c83c9b0c3f45 Mon Sep 17 00:00:00 2001 From: "18001307871@163.com" <18001307871@163.com> Date: Sun, 10 Jul 2022 16:41:49 +0800 Subject: [PATCH 080/192] =?UTF-8?q?=E5=A2=9E=E5=8A=A0=E4=B8=80=E4=B8=AAgpu?= =?UTF-8?q?=E7=B1=BB=E5=9E=8B=E7=9A=84Dockerfile?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- docker/ubuntu16-gpu/Dockerfile | 69 ++++++++++++++++++++++++++++++++++ 1 file changed, 69 insertions(+) create mode 100644 docker/ubuntu16-gpu/Dockerfile diff --git a/docker/ubuntu16-gpu/Dockerfile b/docker/ubuntu16-gpu/Dockerfile new file mode 100644 index 000000000..60b8f2962 --- /dev/null +++ b/docker/ubuntu16-gpu/Dockerfile @@ -0,0 +1,69 @@ +FROM nvidia/cuda:11.2.2-cudnn8-runtime-ubuntu16.04 + +RUN echo "deb [trusted=true] http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ xenial main restricted \n\ +deb [trusted=true] http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ xenial-updates main restricted \n\ +deb [trusted=true] http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ xenial universe \n\ +deb [trusted=true] http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ xenial-updates universe \n\ +deb [trusted=true] http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ xenial multiverse \n\ +deb [trusted=true] http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ xenial-updates multiverse \n\ +deb [trusted=true] http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ xenial-backports main restricted universe multiverse \n\ +deb [trusted=true] http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ xenial-security main restricted \n\ +deb [trusted=true] http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ xenial-security universe \n\ +deb [trusted=true] http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ xenial-security multiverse" > /etc/apt/sources.list + +RUN apt-get update && apt-get install -y inetutils-ping wget vim curl cmake git sox libsndfile1 libpng12-dev \ + libpng-dev swig libzip-dev openssl bc libflac* libgdk-pixbuf2.0-dev libpango1.0-dev libcairo2-dev \ + libgtk2.0-dev pkg-config zip unzip zlib1g-dev libreadline-dev libbz2-dev liblapack-dev libjpeg-turbo8-dev \ + sudo lrzsz libsqlite3-dev libx11-dev libsm6 apt-utils libopencv-dev libavcodec-dev libavformat-dev \ + libswscale-dev locales liblzma-dev python-lzma m4 libxext-dev strace libibverbs-dev libpcre3 libpcre3-dev \ + build-essential libncurses5-dev libgdbm-dev libnss3-dev libssl-dev libreadline-dev libffi-dev xz-utils \ + libfreetype6-dev libxslt1-dev libxml2-dev libgeos-3.5.0 libgeos-dev && apt-get install -y --allow-downgrades \ + --allow-change-held-packages libnccl2 libnccl-dev && DEBIAN_FRONTEND=noninteractive apt-get install -y tzdata \ + && /bin/cp /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && dpkg-reconfigure -f noninteractive tzdata && \ + cd /usr/lib/x86_64-linux-gnu && ln -s libcudnn.so.8 libcudnn.so && \ + cd /usr/local/cuda-11.2/targets/x86_64-linux/lib && ln -s libcublas.so.11.4.1.1043 libcublas.so && \ + ln -s libcusolver.so.11.1.0.152 libcusolver.so && ln -s libcusparse.so.11 libcusparse.so + +RUN echo "set meta-flag on" >> /etc/inputrc && echo "set convert-meta off" >> /etc/inputrc && \ + locale-gen en_US.UTF-8 && /sbin/ldconfig -v && groupadd -g 10001 paddle && \ + useradd -m -s /bin/bash -N -u 10001 paddle -g paddle && chmod g+w /etc/passwd && \ + echo "paddle ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers + +ENV LANG=en_US.UTF-8 LC_ALL=en_US.UTF-8 LANGUAGE=en_US.UTF-8 TZ=Asia/Shanghai + +RUN wget https://www.python.org/ftp/python/3.6.15/Python-3.6.15.tgz && tar xvf Python-3.6.15.tgz && \ + cd Python-3.6.15 && ./configure --prefix=/home/paddle/python3.6 && make -j8 && make install && \ + rm -rf ../Python-3.6.15 ../Python-3.6.15.tgz && chown -R paddle:paddle /home/paddle/python3.6 + +RUN wget https://mirrors.sjtug.sjtu.edu.cn/gnu/gmp/gmp-6.1.0.tar.bz2 && tar xvf gmp-6.1.0.tar.bz2 && \ + cd gmp-6.1.0 && ./configure --prefix=/usr/local && make -j8 && make install && \ + rm -rf ../gmp-6.1.0.tar.bz2 ../gmp-6.1.0 && cd .. && \ + wget https://www.mpfr.org/mpfr-3.1.4/mpfr-3.1.4.tar.bz2 && tar xvf mpfr-3.1.4.tar.bz2 && cd mpfr-3.1.4 && \ + ./configure --prefix=/usr/local && make -j8 && make install && rm -rf ../mpfr-3.1.4.tar.bz2 ../mpfr-3.1.4 && \ + cd .. && wget https://mirrors.sjtug.sjtu.edu.cn/gnu/mpc/mpc-1.0.3.tar.gz && tar xvf mpc-1.0.3.tar.gz && \ + cd mpc-1.0.3 && ./configure --prefix=/usr/local && make -j8 && make install && \ + rm -rf ../mpc-1.0.3.tar.gz ../mpc-1.0.3 && cd .. && \ + wget http://www.mirrorservice.org/sites/sourceware.org/pub/gcc/infrastructure/isl-0.18.tar.bz2 && \ + tar xvf isl-0.18.tar.bz2 && cd isl-0.18 && ./configure --prefix=/usr/local && make -j8 && make install \ + && rm -rf ../isl-0.18.tar.bz2 ../isl-0.18 && cd .. && \ + wget http://mirrors.ustc.edu.cn/gnu/gcc/gcc-8.2.0/gcc-8.2.0.tar.gz --no-check-certificate && \ + tar xvf gcc-8.2.0.tar.gz && cd gcc-8.2.0 && UNSET LIBRARY_PATH && ./configure --prefix=/home/paddle/gcc82 \ + --enable-threads=posix --disable-checking --disable-multilib --enable-languages=c,c++ --with-gmp=/usr/local \ + --with-mpfr=/usr/local --with-mpc=/usr/local --with-isl=/usr/local && make -j8 && make install && \ + rm -rf ../gcc-8.2.0.tar.gz ../gcc-8.2.0 && chown -R paddle:paddle /home/paddle/gcc82 + +WORKDIR /home/paddle +USER paddle +ENV PATH=/home/paddle/python3.6/bin:/home/paddle/gcc82/bin \ + LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu:/usr/local/cuda-11.2/targets/x86_64-linux/lib:${LD_LIBRARY_PATH} + +RUN mkdir ~/.pip && echo "" > ~/.pip/pip.conf && echo "[global]" > ~/.pip/pip.conf && \ + echo "index-url=https://mirror.baidu.com/pypi/simple" >> ~/.pip/pip.conf && \ + echo "trusted-host=mirror.baidu.com" >> ~/.pip/pip.conf && \ + python3 -m pip install --upgrade pip && \ + pip3 install paddlepaddle-gpu==2.3.1.post112 -f https://www.paddlepaddle.org.cn/whl/linux/mkl/avx/stable.html + +RUN git clone https://github.com/PaddlePaddle/PaddleSpeech.git && cd PaddleSpeech && \ + pip install pytest-runner -i https://pypi.tuna.tsinghua.edu.cn/simple && \ + pip install -e .[develop] -i https://pypi.tuna.tsinghua.edu.cn/simple && \ + cp -f /home/paddle/gcc82/lib64/libstdc++.so.6.0.25 /usr/lib/x86_64-linux-gnu/libstdc++.so.6 From 6dc1e711ed4cb425ada697cc1914d64f2a06fffe Mon Sep 17 00:00:00 2001 From: "18001307871@163.com" <18001307871@163.com> Date: Sun, 10 Jul 2022 19:32:24 +0800 Subject: [PATCH 081/192] gpu dockerfile, fix a little case --- docker/ubuntu16-gpu/Dockerfile | 23 ++++++++++++----------- 1 file changed, 12 insertions(+), 11 deletions(-) diff --git a/docker/ubuntu16-gpu/Dockerfile b/docker/ubuntu16-gpu/Dockerfile index 60b8f2962..6c31d6567 100644 --- a/docker/ubuntu16-gpu/Dockerfile +++ b/docker/ubuntu16-gpu/Dockerfile @@ -31,33 +31,34 @@ RUN echo "set meta-flag on" >> /etc/inputrc && echo "set convert-meta off" >> /e ENV LANG=en_US.UTF-8 LC_ALL=en_US.UTF-8 LANGUAGE=en_US.UTF-8 TZ=Asia/Shanghai -RUN wget https://www.python.org/ftp/python/3.6.15/Python-3.6.15.tgz && tar xvf Python-3.6.15.tgz && \ - cd Python-3.6.15 && ./configure --prefix=/home/paddle/python3.6 && make -j8 && make install && \ - rm -rf ../Python-3.6.15 ../Python-3.6.15.tgz && chown -R paddle:paddle /home/paddle/python3.6 +# official download site: https://cdn.npmmirror.com/binaries/python/3.7.13/Python-3.7.13.tgz +RUN wget https://cdn.npmmirror.com/binaries/python/3.7.13/Python-3.7.13.tgz && tar xvf Python-3.7.13.tgz && \ + cd Python-3.7.13 && ./configure --prefix=/home/paddle/python3.7 && make -j8 && make install && \ + rm -rf ../Python-3.7.13 ../Python-3.7.13.tgz && chown -R paddle:paddle /home/paddle/python3.7 -RUN wget https://mirrors.sjtug.sjtu.edu.cn/gnu/gmp/gmp-6.1.0.tar.bz2 && tar xvf gmp-6.1.0.tar.bz2 && \ +RUN cd /tmp && wget https://mirrors.sjtug.sjtu.edu.cn/gnu/gmp/gmp-6.1.0.tar.bz2 && tar xvf gmp-6.1.0.tar.bz2 && \ cd gmp-6.1.0 && ./configure --prefix=/usr/local && make -j8 && make install && \ - rm -rf ../gmp-6.1.0.tar.bz2 ../gmp-6.1.0 && cd .. && \ + rm -rf ../gmp-6.1.0.tar.bz2 ../gmp-6.1.0 && cd /tmp && \ wget https://www.mpfr.org/mpfr-3.1.4/mpfr-3.1.4.tar.bz2 && tar xvf mpfr-3.1.4.tar.bz2 && cd mpfr-3.1.4 && \ ./configure --prefix=/usr/local && make -j8 && make install && rm -rf ../mpfr-3.1.4.tar.bz2 ../mpfr-3.1.4 && \ - cd .. && wget https://mirrors.sjtug.sjtu.edu.cn/gnu/mpc/mpc-1.0.3.tar.gz && tar xvf mpc-1.0.3.tar.gz && \ + cd /tmp && wget https://mirrors.sjtug.sjtu.edu.cn/gnu/mpc/mpc-1.0.3.tar.gz && tar xvf mpc-1.0.3.tar.gz && \ cd mpc-1.0.3 && ./configure --prefix=/usr/local && make -j8 && make install && \ - rm -rf ../mpc-1.0.3.tar.gz ../mpc-1.0.3 && cd .. && \ + rm -rf ../mpc-1.0.3.tar.gz ../mpc-1.0.3 && cd /tmp && \ wget http://www.mirrorservice.org/sites/sourceware.org/pub/gcc/infrastructure/isl-0.18.tar.bz2 && \ tar xvf isl-0.18.tar.bz2 && cd isl-0.18 && ./configure --prefix=/usr/local && make -j8 && make install \ - && rm -rf ../isl-0.18.tar.bz2 ../isl-0.18 && cd .. && \ + && rm -rf ../isl-0.18.tar.bz2 ../isl-0.18 && cd /tmp && \ wget http://mirrors.ustc.edu.cn/gnu/gcc/gcc-8.2.0/gcc-8.2.0.tar.gz --no-check-certificate && \ - tar xvf gcc-8.2.0.tar.gz && cd gcc-8.2.0 && UNSET LIBRARY_PATH && ./configure --prefix=/home/paddle/gcc82 \ + tar xvf gcc-8.2.0.tar.gz && cd gcc-8.2.0 && unset LIBRARY_PATH && ./configure --prefix=/home/paddle/gcc82 \ --enable-threads=posix --disable-checking --disable-multilib --enable-languages=c,c++ --with-gmp=/usr/local \ --with-mpfr=/usr/local --with-mpc=/usr/local --with-isl=/usr/local && make -j8 && make install && \ rm -rf ../gcc-8.2.0.tar.gz ../gcc-8.2.0 && chown -R paddle:paddle /home/paddle/gcc82 WORKDIR /home/paddle USER paddle -ENV PATH=/home/paddle/python3.6/bin:/home/paddle/gcc82/bin \ +ENV PATH=/home/paddle/python3.7/bin:/home/paddle/gcc82/bin:${PATH} \ LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu:/usr/local/cuda-11.2/targets/x86_64-linux/lib:${LD_LIBRARY_PATH} -RUN mkdir ~/.pip && echo "" > ~/.pip/pip.conf && echo "[global]" > ~/.pip/pip.conf && \ +RUN mkdir -p ~/.pip && echo "[global]" > ~/.pip/pip.conf && \ echo "index-url=https://mirror.baidu.com/pypi/simple" >> ~/.pip/pip.conf && \ echo "trusted-host=mirror.baidu.com" >> ~/.pip/pip.conf && \ python3 -m pip install --upgrade pip && \ From c32e1ad8b08c370d358f32efbf532208faadb4c0 Mon Sep 17 00:00:00 2001 From: "18001307871@163.com" <18001307871@163.com> Date: Sun, 10 Jul 2022 23:46:34 +0800 Subject: [PATCH 082/192] =?UTF-8?q?paddlespeech,,paddlespeech=5Fserver,pad?= =?UTF-8?q?dlespeech=5Fclient=E5=B7=A5=E5=85=B7=E9=AA=8C=E8=AF=81?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- docker/ubuntu16-gpu/Dockerfile | 21 ++++++++++++++------- 1 file changed, 14 insertions(+), 7 deletions(-) diff --git a/docker/ubuntu16-gpu/Dockerfile b/docker/ubuntu16-gpu/Dockerfile index 6c31d6567..8890e71b1 100644 --- a/docker/ubuntu16-gpu/Dockerfile +++ b/docker/ubuntu16-gpu/Dockerfile @@ -22,7 +22,8 @@ RUN apt-get update && apt-get install -y inetutils-ping wget vim curl cmake git && /bin/cp /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && dpkg-reconfigure -f noninteractive tzdata && \ cd /usr/lib/x86_64-linux-gnu && ln -s libcudnn.so.8 libcudnn.so && \ cd /usr/local/cuda-11.2/targets/x86_64-linux/lib && ln -s libcublas.so.11.4.1.1043 libcublas.so && \ - ln -s libcusolver.so.11.1.0.152 libcusolver.so && ln -s libcusparse.so.11 libcusparse.so + ln -s libcusolver.so.11.1.0.152 libcusolver.so && ln -s libcusparse.so.11 libcusparse.so && \ + ln -s libcufft.so.10.4.1.152 libcufft.so RUN echo "set meta-flag on" >> /etc/inputrc && echo "set convert-meta off" >> /etc/inputrc && \ locale-gen en_US.UTF-8 && /sbin/ldconfig -v && groupadd -g 10001 paddle && \ @@ -31,7 +32,7 @@ RUN echo "set meta-flag on" >> /etc/inputrc && echo "set convert-meta off" >> /e ENV LANG=en_US.UTF-8 LC_ALL=en_US.UTF-8 LANGUAGE=en_US.UTF-8 TZ=Asia/Shanghai -# official download site: https://cdn.npmmirror.com/binaries/python/3.7.13/Python-3.7.13.tgz +# official download site: https://www.python.org/ftp/python/3.7.13/Python-3.7.13.tgz RUN wget https://cdn.npmmirror.com/binaries/python/3.7.13/Python-3.7.13.tgz && tar xvf Python-3.7.13.tgz && \ cd Python-3.7.13 && ./configure --prefix=/home/paddle/python3.7 && make -j8 && make install && \ rm -rf ../Python-3.7.13 ../Python-3.7.13.tgz && chown -R paddle:paddle /home/paddle/python3.7 @@ -54,7 +55,6 @@ RUN cd /tmp && wget https://mirrors.sjtug.sjtu.edu.cn/gnu/gmp/gmp-6.1.0.tar.bz2 rm -rf ../gcc-8.2.0.tar.gz ../gcc-8.2.0 && chown -R paddle:paddle /home/paddle/gcc82 WORKDIR /home/paddle -USER paddle ENV PATH=/home/paddle/python3.7/bin:/home/paddle/gcc82/bin:${PATH} \ LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu:/usr/local/cuda-11.2/targets/x86_64-linux/lib:${LD_LIBRARY_PATH} @@ -62,9 +62,16 @@ RUN mkdir -p ~/.pip && echo "[global]" > ~/.pip/pip.conf && \ echo "index-url=https://mirror.baidu.com/pypi/simple" >> ~/.pip/pip.conf && \ echo "trusted-host=mirror.baidu.com" >> ~/.pip/pip.conf && \ python3 -m pip install --upgrade pip && \ - pip3 install paddlepaddle-gpu==2.3.1.post112 -f https://www.paddlepaddle.org.cn/whl/linux/mkl/avx/stable.html + pip install paddlepaddle-gpu==2.3.1.post112 -f https://www.paddlepaddle.org.cn/whl/linux/mkl/avx/stable.html && \ + rm -rf ~/.cache/pip RUN git clone https://github.com/PaddlePaddle/PaddleSpeech.git && cd PaddleSpeech && \ - pip install pytest-runner -i https://pypi.tuna.tsinghua.edu.cn/simple && \ - pip install -e .[develop] -i https://pypi.tuna.tsinghua.edu.cn/simple && \ - cp -f /home/paddle/gcc82/lib64/libstdc++.so.6.0.25 /usr/lib/x86_64-linux-gnu/libstdc++.so.6 + pip3 install pytest-runner paddleaudio -i https://pypi.tuna.tsinghua.edu.cn/simple && \ + pip3 install -e .[develop] -i https://pypi.tuna.tsinghua.edu.cn/simple && \ + pip3 install importlib-metadata==4.2.0 urllib3==1.25.10 -i https://pypi.tuna.tsinghua.edu.cn/simple && \ + rm -rf ~/.cache/pip && \ + sudo cp -f /home/paddle/gcc82/lib64/libstdc++.so.6.0.25 /usr/lib/x86_64-linux-gnu/libstdc++.so.6 && \ + chown -R paddle:paddle /home/paddle/PaddleSpeech + +USER paddle +'bash'] From 5efe6916092fd3a48d1dc0f825cd28b7a93a5585 Mon Sep 17 00:00:00 2001 From: "18001307871@163.com" <18001307871@163.com> Date: Sun, 10 Jul 2022 23:50:54 +0800 Subject: [PATCH 083/192] code bug --- docker/ubuntu16-gpu/Dockerfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docker/ubuntu16-gpu/Dockerfile b/docker/ubuntu16-gpu/Dockerfile index 8890e71b1..f275471ee 100644 --- a/docker/ubuntu16-gpu/Dockerfile +++ b/docker/ubuntu16-gpu/Dockerfile @@ -74,4 +74,4 @@ RUN git clone https://github.com/PaddlePaddle/PaddleSpeech.git && cd PaddleSpeec chown -R paddle:paddle /home/paddle/PaddleSpeech USER paddle -'bash'] +CMD ['bash'] From 98eed53e6d0a110a0677bb60137f65ab6b9b49b8 Mon Sep 17 00:00:00 2001 From: Hui Zhang Date: Mon, 11 Jul 2022 02:29:22 +0000 Subject: [PATCH 084/192] more accuracy decoding somthing --- paddlespeech/server/engine/asr/online/ctc_endpoint.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/paddlespeech/server/engine/asr/online/ctc_endpoint.py b/paddlespeech/server/engine/asr/online/ctc_endpoint.py index 2dba36417..06c1567da 100644 --- a/paddlespeech/server/engine/asr/online/ctc_endpoint.py +++ b/paddlespeech/server/engine/asr/online/ctc_endpoint.py @@ -86,7 +86,6 @@ class OnlineCTCEndpoint: Args: ctc_log_probs (np.ndarray): (T, D) - decoding_something (bool): contain nonsilince. Returns: bool: whether endpoint detected. @@ -102,7 +101,8 @@ class OnlineCTCEndpoint: assert self.num_frames_decoded >= self.trailing_silence_frames assert self.frame_shift_in_ms > 0 - + + decoding_something = (self.num_frames_decoded > self.trailing_silence_frames) and decoding_something utterance_length = self.num_frames_decoded * self.frame_shift_in_ms trailing_silence = self.trailing_silence_frames * self.frame_shift_in_ms From 3d5ed00c60e367ced7d0f79654f4c0316326e157 Mon Sep 17 00:00:00 2001 From: lym0302 Date: Mon, 11 Jul 2022 02:53:55 +0000 Subject: [PATCH 085/192] specify id, test=doc --- paddlespeech/server/utils/onnx_infer.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/paddlespeech/server/utils/onnx_infer.py b/paddlespeech/server/utils/onnx_infer.py index 23d83c735..25802f627 100644 --- a/paddlespeech/server/utils/onnx_infer.py +++ b/paddlespeech/server/utils/onnx_infer.py @@ -30,7 +30,9 @@ def get_sess(model_path: Optional[os.PathLike]=None, sess_conf: dict=None): # "gpu:0" providers = ['CPUExecutionProvider'] if "gpu" in sess_conf.get("device", ""): - providers = ['CUDAExecutionProvider'] + device_id = int(sess_conf["device"].split(":")[1]) + providers = [('CUDAExecutionProvider', {'device_id': device_id})] + # fastspeech2/mb_melgan can't use trt now! if sess_conf.get("use_trt", 0): providers = ['TensorrtExecutionProvider'] From 2915b1d8c97f7282a8e2af3447938fa41dec9bc6 Mon Sep 17 00:00:00 2001 From: chenkui164 <34813030+chenkui164@users.noreply.github.com> Date: Mon, 11 Jul 2022 13:33:51 +0800 Subject: [PATCH 086/192] Update README.md Adding chenkui164/FastASR to Acknowledgement, --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 3fdb2945f..1b2fda6f8 100644 --- a/README.md +++ b/README.md @@ -706,6 +706,7 @@ You are warmly welcome to submit questions in [discussions](https://github.com/P - Many thanks to [phecda-xu](https://github.com/phecda-xu)/[PaddleDubbing](https://github.com/phecda-xu/PaddleDubbing) for developing a dubbing tool with GUI based on PaddleSpeech TTS model. - Many thanks to [jerryuhoo](https://github.com/jerryuhoo)/[VTuberTalk](https://github.com/jerryuhoo/VTuberTalk) for developing a GUI tool based on PaddleSpeech TTS and code for making datasets from videos based on PaddleSpeech ASR. - Many thanks to [vpegasus](https://github.com/vpegasus)/[xuesebot](https://github.com/vpegasus/xuesebot) for developing a rasa chatbot,which is able to speak and listen thanks to PaddleSpeech. +- Many thanks to [chenkui164](https://github.com/chenkui164)/[FastASR](https://github.com/chenkui164/FastASR) for the C++ implementation of ASR. Besides, PaddleSpeech depends on a lot of open source repositories. See [references](./docs/source/reference.md) for more information. From 67618fdd716b151d8192470fdb509a6feb0b698d Mon Sep 17 00:00:00 2001 From: chenkui164 <34813030+chenkui164@users.noreply.github.com> Date: Mon, 11 Jul 2022 13:37:47 +0800 Subject: [PATCH 087/192] Update README_cn.md MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 增加chenkui164/FastASR的中文致谢 --- README_cn.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README_cn.md b/README_cn.md index 91a01d710..7f3c7ed0e 100644 --- a/README_cn.md +++ b/README_cn.md @@ -702,7 +702,7 @@ PaddleSpeech 的 **语音合成** 主要包含三个模块：文本前端、声 - 非常感谢 [jerryuhoo](https://github.com/jerryuhoo)/[VTuberTalk](https://github.com/jerryuhoo/VTuberTalk) 基于 PaddleSpeech 的 TTS GUI 界面和基于 ASR 制作数据集的相关代码。 - 非常感谢 [vpegasus](https://github.com/vpegasus)/[xuesebot](https://github.com/vpegasus/xuesebot) 基于 PaddleSpeech 的 ASR 与 TTS 设计的可听、说对话机器人。 - +- 非常感谢 [chenkui164](https://github.com/chenkui164)/[FastASR](https://github.com/chenkui164/FastASR) 对PaddleSpeech 的 ASR 进行 C++ 实现。 此外，PaddleSpeech 依赖于许多开源存储库。有关更多信息，请参阅 [references](./docs/source/reference.md)。 From f4b11b19e5cccc93116eb395446ca2b5140c5c40 Mon Sep 17 00:00:00 2001 From: Hui Zhang Date: Mon, 11 Jul 2022 07:59:42 +0000 Subject: [PATCH 088/192] rename time_s and time_ns to time_b and time_nb --- .../server/engine/acs/python/acs_engine.py | 5 +- .../server/engine/asr/online/ctc_search.py | 50 +++++++++---------- 2 files changed, 29 insertions(+), 26 deletions(-) diff --git a/paddlespeech/server/engine/acs/python/acs_engine.py b/paddlespeech/server/engine/acs/python/acs_engine.py index 63964a825..a607aa07a 100644 --- a/paddlespeech/server/engine/acs/python/acs_engine.py +++ b/paddlespeech/server/engine/acs/python/acs_engine.py @@ -192,12 +192,15 @@ class ACSEngine(BaseEngine): # search for each word in self.word_list offset = self.config.offset + # last time in time_stamp max_ed = time_stamp[-1]['ed'] for w in self.word_list: # search the w in asr_result and the index in asr_result + # https://docs.python.org/3/library/re.html#re.finditer for m in re.finditer(w, asr_result): + # match start and end char index in timestamp + # https://docs.python.org/3/library/re.html#re.Match.start start = max(time_stamp[m.start(0)]['bg'] - offset, 0) - end = min(time_stamp[m.end(0) - 1]['ed'] + offset, max_ed) logger.debug(f'start: {start}, end: {end}') acs_result.append({'w': w, 'bg': start, 'ed': end}) diff --git a/paddlespeech/server/engine/asr/online/ctc_search.py b/paddlespeech/server/engine/asr/online/ctc_search.py index 46f310c80..ad9647ef9 100644 --- a/paddlespeech/server/engine/asr/online/ctc_search.py +++ b/paddlespeech/server/engine/asr/online/ctc_search.py @@ -86,8 +86,8 @@ class CTCPrefixBeamSearch: # 2. viterbi_blank ending, # 3. viterbi_non_blank, # 4. current_token_prob, - # 5. times_viterbi_blank, - # 6. times_titerbi_non_blank + # 5. times_viterbi_blank, times_b + # 6. times_titerbi_non_blank, times_nb if self.cur_hyps is None: self.cur_hyps = [(tuple(), (0.0, -float('inf'), 0.0, 0.0, -float('inf'), [], []))] @@ -106,69 +106,69 @@ class CTCPrefixBeamSearch: for s in top_k_index: s = s.item() ps = logp[s].item() - for prefix, (pb, pnb, v_b_s, v_nb_s, cur_token_prob, times_s, - times_ns) in self.cur_hyps: + for prefix, (pb, pnb, v_b_s, v_nb_s, cur_token_prob, times_b, + times_nb) in self.cur_hyps: last = prefix[-1] if len(prefix) > 0 else None if s == blank_id: # blank - n_pb, n_pnb, n_v_s, n_v_ns, n_cur_token_prob, n_times_s, n_times_ns = next_hyps[ + n_pb, n_pnb, n_v_s, n_v_ns, n_cur_token_prob, n_times_b, n_times_nb = next_hyps[ prefix] n_pb = log_add([n_pb, pb + ps, pnb + ps]) - pre_times = times_s if v_b_s > v_nb_s else times_ns - n_times_s = copy.deepcopy(pre_times) + pre_times = times_b if v_b_s > v_nb_s else times_nb + n_times_b = copy.deepcopy(pre_times) viterbi_score = v_b_s if v_b_s > v_nb_s else v_nb_s n_v_s = viterbi_score + ps next_hyps[prefix] = (n_pb, n_pnb, n_v_s, n_v_ns, - n_cur_token_prob, n_times_s, - n_times_ns) + n_cur_token_prob, n_times_b, + n_times_nb) elif s == last: # Update *ss -> *s; # case1: *a + a => *a - n_pb, n_pnb, n_v_s, n_v_ns, n_cur_token_prob, n_times_s, n_times_ns = next_hyps[ + n_pb, n_pnb, n_v_s, n_v_ns, n_cur_token_prob, n_times_b, n_times_nb = next_hyps[ prefix] n_pnb = log_add([n_pnb, pnb + ps]) if n_v_ns < v_nb_s + ps: n_v_ns = v_nb_s + ps if n_cur_token_prob < ps: n_cur_token_prob = ps - n_times_ns = copy.deepcopy(times_ns) - n_times_ns[ + n_times_nb = copy.deepcopy(times_nb) + n_times_nb[ -1] = self.abs_time_step # 注意，这里要重新使用绝对时间 next_hyps[prefix] = (n_pb, n_pnb, n_v_s, n_v_ns, - n_cur_token_prob, n_times_s, - n_times_ns) + n_cur_token_prob, n_times_b, + n_times_nb) # Update *s-s -> *ss, - is for blank # Case 2: *aε + a => *aa n_prefix = prefix + (s, ) - n_pb, n_pnb, n_v_s, n_v_ns, n_cur_token_prob, n_times_s, n_times_ns = next_hyps[ + n_pb, n_pnb, n_v_s, n_v_ns, n_cur_token_prob, n_times_b, n_times_nb = next_hyps[ n_prefix] if n_v_ns < v_b_s + ps: n_v_ns = v_b_s + ps n_cur_token_prob = ps - n_times_ns = copy.deepcopy(times_s) - n_times_ns.append(self.abs_time_step) + n_times_nb = copy.deepcopy(times_b) + n_times_nb.append(self.abs_time_step) n_pnb = log_add([n_pnb, pb + ps]) next_hyps[n_prefix] = (n_pb, n_pnb, n_v_s, n_v_ns, - n_cur_token_prob, n_times_s, - n_times_ns) + n_cur_token_prob, n_times_b, + n_times_nb) else: # Case 3: *a + b => *ab, *aε + b => *ab n_prefix = prefix + (s, ) - n_pb, n_pnb, n_v_s, n_v_ns, n_cur_token_prob, n_times_s, n_times_ns = next_hyps[ + n_pb, n_pnb, n_v_s, n_v_ns, n_cur_token_prob, n_times_b, n_times_nb = next_hyps[ n_prefix] viterbi_score = v_b_s if v_b_s > v_nb_s else v_nb_s - pre_times = times_s if v_b_s > v_nb_s else times_ns + pre_times = times_b if v_b_s > v_nb_s else times_nb if n_v_ns < viterbi_score + ps: n_v_ns = viterbi_score + ps n_cur_token_prob = ps - n_times_ns = copy.deepcopy(pre_times) - n_times_ns.append(self.abs_time_step) + n_times_nb = copy.deepcopy(pre_times) + n_times_nb.append(self.abs_time_step) n_pnb = log_add([n_pnb, pb + ps, pnb + ps]) next_hyps[n_prefix] = (n_pb, n_pnb, n_v_s, n_v_ns, - n_cur_token_prob, n_times_s, - n_times_ns) + n_cur_token_prob, n_times_b, + n_times_nb) # 2.2 Second beam prune next_hyps = sorted( From f8450c39e5158e1e4ec948caadfd23408d1068a7 Mon Sep 17 00:00:00 2001 From: Hui Zhang Date: Mon, 11 Jul 2022 08:27:26 +0000 Subject: [PATCH 089/192] rename n_v_s to n_v_b, n_v_ns to n_v_nb --- .../server/engine/asr/online/ctc_search.py | 34 +++++++++---------- 1 file changed, 17 insertions(+), 17 deletions(-) diff --git a/paddlespeech/server/engine/asr/online/ctc_search.py b/paddlespeech/server/engine/asr/online/ctc_search.py index ad9647ef9..06adb9ccc 100644 --- a/paddlespeech/server/engine/asr/online/ctc_search.py +++ b/paddlespeech/server/engine/asr/online/ctc_search.py @@ -83,8 +83,8 @@ class CTCPrefixBeamSearch: # cur_hyps: (prefix, (blank_ending_score, none_blank_ending_score)) # 0. blank_ending_score, # 1. none_blank_ending_score, - # 2. viterbi_blank ending, - # 3. viterbi_non_blank, + # 2. viterbi_blank ending score, + # 3. viterbi_non_blank score, # 4. current_token_prob, # 5. times_viterbi_blank, times_b # 6. times_titerbi_non_blank, times_nb @@ -110,63 +110,63 @@ class CTCPrefixBeamSearch: times_nb) in self.cur_hyps: last = prefix[-1] if len(prefix) > 0 else None if s == blank_id: # blank - n_pb, n_pnb, n_v_s, n_v_ns, n_cur_token_prob, n_times_b, n_times_nb = next_hyps[ + n_pb, n_pnb, n_v_b, n_v_nb, n_cur_token_prob, n_times_b, n_times_nb = next_hyps[ prefix] n_pb = log_add([n_pb, pb + ps, pnb + ps]) pre_times = times_b if v_b_s > v_nb_s else times_nb n_times_b = copy.deepcopy(pre_times) viterbi_score = v_b_s if v_b_s > v_nb_s else v_nb_s - n_v_s = viterbi_score + ps - next_hyps[prefix] = (n_pb, n_pnb, n_v_s, n_v_ns, + n_v_b = viterbi_score + ps + next_hyps[prefix] = (n_pb, n_pnb, n_v_b, n_v_nb, n_cur_token_prob, n_times_b, n_times_nb) elif s == last: # Update *ss -> *s; # case1: *a + a => *a - n_pb, n_pnb, n_v_s, n_v_ns, n_cur_token_prob, n_times_b, n_times_nb = next_hyps[ + n_pb, n_pnb, n_v_b, n_v_nb, n_cur_token_prob, n_times_b, n_times_nb = next_hyps[ prefix] n_pnb = log_add([n_pnb, pnb + ps]) - if n_v_ns < v_nb_s + ps: - n_v_ns = v_nb_s + ps + if n_v_nb < v_nb_s + ps: + n_v_nb = v_nb_s + ps if n_cur_token_prob < ps: n_cur_token_prob = ps n_times_nb = copy.deepcopy(times_nb) n_times_nb[ -1] = self.abs_time_step # 注意，这里要重新使用绝对时间 - next_hyps[prefix] = (n_pb, n_pnb, n_v_s, n_v_ns, + next_hyps[prefix] = (n_pb, n_pnb, n_v_b, n_v_nb, n_cur_token_prob, n_times_b, n_times_nb) # Update *s-s -> *ss, - is for blank # Case 2: *aε + a => *aa n_prefix = prefix + (s, ) - n_pb, n_pnb, n_v_s, n_v_ns, n_cur_token_prob, n_times_b, n_times_nb = next_hyps[ + n_pb, n_pnb, n_v_b, n_v_nb, n_cur_token_prob, n_times_b, n_times_nb = next_hyps[ n_prefix] - if n_v_ns < v_b_s + ps: - n_v_ns = v_b_s + ps + if n_v_nb < v_b_s + ps: + n_v_nb = v_b_s + ps n_cur_token_prob = ps n_times_nb = copy.deepcopy(times_b) n_times_nb.append(self.abs_time_step) n_pnb = log_add([n_pnb, pb + ps]) - next_hyps[n_prefix] = (n_pb, n_pnb, n_v_s, n_v_ns, + next_hyps[n_prefix] = (n_pb, n_pnb, n_v_b, n_v_nb, n_cur_token_prob, n_times_b, n_times_nb) else: # Case 3: *a + b => *ab, *aε + b => *ab n_prefix = prefix + (s, ) - n_pb, n_pnb, n_v_s, n_v_ns, n_cur_token_prob, n_times_b, n_times_nb = next_hyps[ + n_pb, n_pnb, n_v_b, n_v_nb, n_cur_token_prob, n_times_b, n_times_nb = next_hyps[ n_prefix] viterbi_score = v_b_s if v_b_s > v_nb_s else v_nb_s pre_times = times_b if v_b_s > v_nb_s else times_nb - if n_v_ns < viterbi_score + ps: - n_v_ns = viterbi_score + ps + if n_v_nb < viterbi_score + ps: + n_v_nb = viterbi_score + ps n_cur_token_prob = ps n_times_nb = copy.deepcopy(pre_times) n_times_nb.append(self.abs_time_step) n_pnb = log_add([n_pnb, pb + ps, pnb + ps]) - next_hyps[n_prefix] = (n_pb, n_pnb, n_v_s, n_v_ns, + next_hyps[n_prefix] = (n_pb, n_pnb, n_v_b, n_v_nb, n_cur_token_prob, n_times_b, n_times_nb) From ab036e8c75ba9df4028d1324783455711294b2a0 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Mon, 11 Jul 2022 17:16:04 +0800 Subject: [PATCH 090/192] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 1b2fda6f8..636da1323 100644 --- a/README.md +++ b/README.md @@ -706,7 +706,7 @@ You are warmly welcome to submit questions in [discussions](https://github.com/P - Many thanks to [phecda-xu](https://github.com/phecda-xu)/[PaddleDubbing](https://github.com/phecda-xu/PaddleDubbing) for developing a dubbing tool with GUI based on PaddleSpeech TTS model. - Many thanks to [jerryuhoo](https://github.com/jerryuhoo)/[VTuberTalk](https://github.com/jerryuhoo/VTuberTalk) for developing a GUI tool based on PaddleSpeech TTS and code for making datasets from videos based on PaddleSpeech ASR. - Many thanks to [vpegasus](https://github.com/vpegasus)/[xuesebot](https://github.com/vpegasus/xuesebot) for developing a rasa chatbot,which is able to speak and listen thanks to PaddleSpeech. -- Many thanks to [chenkui164](https://github.com/chenkui164)/[FastASR](https://github.com/chenkui164/FastASR) for the C++ implementation of ASR. +- Many thanks to [chenkui164](https://github.com/chenkui164)/[FastASR](https://github.com/chenkui164/FastASR) for the C++ inference implementation of PaddleSpeech ASR. Besides, PaddleSpeech depends on a lot of open source repositories. See [references](./docs/source/reference.md) for more information. From 1dc8aa244057958a18a80f94934dfebe306f00bd Mon Sep 17 00:00:00 2001 From: TianYuan Date: Mon, 11 Jul 2022 17:16:42 +0800 Subject: [PATCH 091/192] Update README_cn.md --- README_cn.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README_cn.md b/README_cn.md index 7f3c7ed0e..efbdd30fb 100644 --- a/README_cn.md +++ b/README_cn.md @@ -702,7 +702,7 @@ PaddleSpeech 的 **语音合成** 主要包含三个模块：文本前端、声 - 非常感谢 [jerryuhoo](https://github.com/jerryuhoo)/[VTuberTalk](https://github.com/jerryuhoo/VTuberTalk) 基于 PaddleSpeech 的 TTS GUI 界面和基于 ASR 制作数据集的相关代码。 - 非常感谢 [vpegasus](https://github.com/vpegasus)/[xuesebot](https://github.com/vpegasus/xuesebot) 基于 PaddleSpeech 的 ASR 与 TTS 设计的可听、说对话机器人。 -- 非常感谢 [chenkui164](https://github.com/chenkui164)/[FastASR](https://github.com/chenkui164/FastASR) 对PaddleSpeech 的 ASR 进行 C++ 实现。 +- 非常感谢 [chenkui164](https://github.com/chenkui164)/[FastASR](https://github.com/chenkui164/FastASR) 对 PaddleSpeech 的 ASR 进行 C++ 推理实现。 此外，PaddleSpeech 依赖于许多开源存储库。有关更多信息，请参阅 [references](./docs/source/reference.md)。 From d142d3a7c0830efe3a6c1332429a58e94cb3a20b Mon Sep 17 00:00:00 2001 From: Hui Zhang Date: Mon, 11 Jul 2022 09:25:39 +0000 Subject: [PATCH 092/192] add docstring --- paddlespeech/server/engine/asr/online/ctc_endpoint.py | 1 + 1 file changed, 1 insertion(+) diff --git a/paddlespeech/server/engine/asr/online/ctc_endpoint.py b/paddlespeech/server/engine/asr/online/ctc_endpoint.py index 06c1567da..56fcc1823 100644 --- a/paddlespeech/server/engine/asr/online/ctc_endpoint.py +++ b/paddlespeech/server/engine/asr/online/ctc_endpoint.py @@ -86,6 +86,7 @@ class OnlineCTCEndpoint: Args: ctc_log_probs (np.ndarray): (T, D) + decoding_something (bool): contain nonsilince. Returns: bool: whether endpoint detected. From 7a63cc413987dde6d23d2e83e4567a0935803c9b Mon Sep 17 00:00:00 2001 From: Jackwaterveg <87408988+Jackwaterveg@users.noreply.github.com> Date: Mon, 11 Jul 2022 19:47:31 +0800 Subject: [PATCH 093/192] Update python_package_release.md --- docs/topic/package_release/python_package_release.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/topic/package_release/python_package_release.md b/docs/topic/package_release/python_package_release.md index 3e3f9dbf6..cb1029e7b 100644 --- a/docs/topic/package_release/python_package_release.md +++ b/docs/topic/package_release/python_package_release.md @@ -150,7 +150,7 @@ manylinux1 支持 Centos5以上， manylinux2010 支持 Centos 6 以上，manyli ### 拉取 manylinux2010 ```bash -docker pull quay.io/pypa/manylinux1_x86_64 +docker pull quay.io/pypa/manylinux2010_x86_64 ``` ### 使用 manylinux2010 From a3a9de2653c488d0f3781bb11311a7f26859be30 Mon Sep 17 00:00:00 2001 From: Hui Zhang Date: Tue, 12 Jul 2022 10:14:22 +0800 Subject: [PATCH 094/192] Update README.md --- README.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 636da1323..aa35bb58e 100644 --- a/README.md +++ b/README.md @@ -25,14 +25,16 @@ | Documents | Models List | AIStudio Courses - | Paper + | NAACL2022 Paper | Gitee

------------------------------------------------------------------------------------ -**PaddleSpeech** is an open-source toolkit on [PaddlePaddle](https://github.com/PaddlePaddle/Paddle) platform for a variety of critical tasks in speech and audio, with the state-of-art and influential models. +**PaddleSpeech** is an open-source toolkit on [PaddlePaddle](https://github.com/PaddlePaddle/Paddle) platform for a variety of critical tasks in speech and audio, with the state-of-art and influential models. + +Paddlespeech won the [NAACL2022 Best Demo Award](https://2022.naacl.org/blog/best-demo-award/). ##### Speech Recognition From af584266d0c5683128c2e89ed2301a90636c662c Mon Sep 17 00:00:00 2001 From: Hui Zhang Date: Tue, 12 Jul 2022 10:15:06 +0800 Subject: [PATCH 095/192] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index aa35bb58e..330da1a91 100644 --- a/README.md +++ b/README.md @@ -34,7 +34,7 @@ **PaddleSpeech** is an open-source toolkit on [PaddlePaddle](https://github.com/PaddlePaddle/Paddle) platform for a variety of critical tasks in speech and audio, with the state-of-art and influential models. -Paddlespeech won the [NAACL2022 Best Demo Award](https://2022.naacl.org/blog/best-demo-award/). +**PaddleSpeech** won the [NAACL2022 Best Demo Award](https://2022.naacl.org/blog/best-demo-award/). ##### Speech Recognition From e8753b1a2725456c5a2ecb1466dcf0b815067dcb Mon Sep 17 00:00:00 2001 From: Hui Zhang Date: Tue, 12 Jul 2022 10:16:35 +0800 Subject: [PATCH 096/192] Update README_cn.md --- README_cn.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/README_cn.md b/README_cn.md index efbdd30fb..8df38602c 100644 --- a/README_cn.md +++ b/README_cn.md @@ -26,7 +26,7 @@ | 教程文档 | 模型列表 | AIStudio 课程 - | 论文 + | NAACL2022 论文 | Gitee

From 74245cc115122e2f1774d720be3c068ee4b52525 Mon Sep 17 00:00:00 2001 From: Hui Zhang Date: Tue, 12 Jul 2022 09:40:48 +0000 Subject: [PATCH 103/192] add streaming tts scripts --- demos/streaming_tts_server/client.sh | 9 ++ .../conf/tts_online_ws_application.yaml | 103 ++++++++++++++++++ demos/streaming_tts_server/server.sh | 10 ++ 3 files changed, 122 insertions(+) create mode 100755 demos/streaming_tts_server/client.sh create mode 100644 demos/streaming_tts_server/conf/tts_online_ws_application.yaml create mode 100755 demos/streaming_tts_server/server.sh diff --git a/demos/streaming_tts_server/client.sh b/demos/streaming_tts_server/client.sh new file mode 100755 index 000000000..e93da58a8 --- /dev/null +++ b/demos/streaming_tts_server/client.sh @@ -0,0 +1,9 @@ +#!/bin/bash + +# http client test +# If `127.0.0.1` is not accessible, you need to use the actual service IP address. +paddlespeech_client tts_online --server_ip 127.0.0.1 --port 8092 --protocol http --input "您好，欢迎使用百度飞桨语音合成服务。" --output output.http.wav + +# websocket client test +# If `127.0.0.1` is not accessible, you need to use the actual service IP address. +paddlespeech_client tts_online --server_ip 127.0.0.1 --port 8192 --protocol websocket --input "您好，欢迎使用百度飞桨语音合成服务。" --output output.ws.wav diff --git a/demos/streaming_tts_server/conf/tts_online_ws_application.yaml b/demos/streaming_tts_server/conf/tts_online_ws_application.yaml new file mode 100644 index 000000000..146f06f15 --- /dev/null +++ b/demos/streaming_tts_server/conf/tts_online_ws_application.yaml @@ -0,0 +1,103 @@ +# This is the parameter configuration file for streaming tts server. + +################################################################################# +# SERVER SETTING # +################################################################################# +host: 0.0.0.0 +port: 8192 + +# The task format in the engin_list is: _ +# engine_list choices = ['tts_online', 'tts_online-onnx'], the inference speed of tts_online-onnx is faster than tts_online. +# protocol choices = ['websocket', 'http'] +protocol: 'websocket' +engine_list: ['tts_online-onnx'] + + +################################################################################# +# ENGINE CONFIG # +################################################################################# + +################################### TTS ######################################### +################### speech task: tts; engine_type: online ####################### +tts_online: + # am (acoustic model) choices=['fastspeech2_csmsc', 'fastspeech2_cnndecoder_csmsc'] + # fastspeech2_cnndecoder_csmsc support streaming am infer. + am: 'fastspeech2_csmsc' + am_config: + am_ckpt: + am_stat: + phones_dict: + tones_dict: + speaker_dict: + spk_id: 0 + + # voc (vocoder) choices=['mb_melgan_csmsc, hifigan_csmsc'] + # Both mb_melgan_csmsc and hifigan_csmsc support streaming voc inference + voc: 'mb_melgan_csmsc' + voc_config: + voc_ckpt: + voc_stat: + + # others + lang: 'zh' + device: 'cpu' # set 'gpu:id' or 'cpu' + # am_block and am_pad only for fastspeech2_cnndecoder_onnx model to streaming am infer, + # when am_pad set 12, streaming synthetic audio is the same as non-streaming synthetic audio + am_block: 72 + am_pad: 12 + # voc_pad and voc_block voc model to streaming voc infer, + # when voc model is mb_melgan_csmsc, voc_pad set 14, streaming synthetic audio is the same as non-streaming synthetic audio; The minimum value of pad can be set to 7, streaming synthetic audio sounds normal + # when voc model is hifigan_csmsc, voc_pad set 19, streaming synthetic audio is the same as non-streaming synthetic audio; voc_pad set 14, streaming synthetic audio sounds normal + voc_block: 36 + voc_pad: 14 + + + +################################################################################# +# ENGINE CONFIG # +################################################################################# + +################################### TTS ######################################### +################### speech task: tts; engine_type: online-onnx ####################### +tts_online-onnx: + # am (acoustic model) choices=['fastspeech2_csmsc_onnx', 'fastspeech2_cnndecoder_csmsc_onnx'] + # fastspeech2_cnndecoder_csmsc_onnx support streaming am infer. + am: 'fastspeech2_cnndecoder_csmsc_onnx' + # am_ckpt is a list, if am is fastspeech2_cnndecoder_csmsc_onnx, am_ckpt = [encoder model, decoder model, postnet model]; + # if am is fastspeech2_csmsc_onnx, am_ckpt = [ckpt model]; + am_ckpt: # list + am_stat: + phones_dict: + tones_dict: + speaker_dict: + spk_id: 0 + am_sample_rate: 24000 + am_sess_conf: + device: "cpu" # set 'gpu:id' or 'cpu' + use_trt: False + cpu_threads: 4 + + # voc (vocoder) choices=['mb_melgan_csmsc_onnx, hifigan_csmsc_onnx'] + # Both mb_melgan_csmsc_onnx and hifigan_csmsc_onnx support streaming voc inference + voc: 'hifigan_csmsc_onnx' + voc_ckpt: + voc_sample_rate: 24000 + voc_sess_conf: + device: "cpu" # set 'gpu:id' or 'cpu' + use_trt: False + cpu_threads: 4 + + # others + lang: 'zh' + # am_block and am_pad only for fastspeech2_cnndecoder_onnx model to streaming am infer, + # when am_pad set 12, streaming synthetic audio is the same as non-streaming synthetic audio + am_block: 72 + am_pad: 12 + # voc_pad and voc_block voc model to streaming voc infer, + # when voc model is mb_melgan_csmsc_onnx, voc_pad set 14, streaming synthetic audio is the same as non-streaming synthetic audio; The minimum value of pad can be set to 7, streaming synthetic audio sounds normal + # when voc model is hifigan_csmsc_onnx, voc_pad set 19, streaming synthetic audio is the same as non-streaming synthetic audio; voc_pad set 14, streaming synthetic audio sounds normal + voc_block: 36 + voc_pad: 14 + # voc_upsample should be same as n_shift on voc config. + voc_upsample: 300 + diff --git a/demos/streaming_tts_server/server.sh b/demos/streaming_tts_server/server.sh new file mode 100755 index 000000000..d34ddba02 --- /dev/null +++ b/demos/streaming_tts_server/server.sh @@ -0,0 +1,10 @@ +#!/bin/bash + +# http server +paddlespeech_server start --config_file ./conf/tts_online_application.yaml &> tts.http.log & + + +# websocket server +paddlespeech_server start --config_file ./conf/tts_online_ws_application.yaml &> tts.ws.log & + + From 72002024e2d5e4e214fbe6d1620c8c11b587925f Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 12 Jul 2022 11:05:45 +0000 Subject: [PATCH 104/192] Bump moment from 2.29.3 to 2.29.4 in /demos/speech_web/web_client Bumps [moment](https://github.com/moment/moment) from 2.29.3 to 2.29.4. - [Release notes](https://github.com/moment/moment/releases) - [Changelog](https://github.com/moment/moment/blob/develop/CHANGELOG.md) - [Commits](https://github.com/moment/moment/compare/2.29.3...2.29.4) --- updated-dependencies: - dependency-name: moment dependency-type: indirect ... Signed-off-by: dependabot[bot] --- demos/speech_web/web_client/package-lock.json | 12 ++++++------ demos/speech_web/web_client/yarn.lock | 6 +++--- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/demos/speech_web/web_client/package-lock.json b/demos/speech_web/web_client/package-lock.json index f1c779782..509be385c 100644 --- a/demos/speech_web/web_client/package-lock.json +++ b/demos/speech_web/web_client/package-lock.json @@ -747,9 +747,9 @@ } }, "node_modules/moment": { - "version": "2.29.3", - "resolved": "https://registry.npmmirror.com/moment/-/moment-2.29.3.tgz", - "integrity": "sha512-c6YRvhEo//6T2Jz/vVtYzqBzwvPT95JBQ+smCytzf7c50oMZRsR/a4w88aD34I+/QVSfnoAnSBFPJHItlOMJVw==", + "version": "2.29.4", + "resolved": "https://registry.npmjs.org/moment/-/moment-2.29.4.tgz", + "integrity": "sha512-5LC9SOxjSc2HF6vO2CyuTDNivEdoz2IvyJJGj6X8DJ0eFyfszE0QiEd+iXmBvUP3WHxSjFH/vIsA0EN00cgr8w==", "engines": { "node": "*" } @@ -1636,9 +1636,9 @@ "optional": true }, "moment": { - "version": "2.29.3", - "resolved": "https://registry.npmmirror.com/moment/-/moment-2.29.3.tgz", - "integrity": "sha512-c6YRvhEo//6T2Jz/vVtYzqBzwvPT95JBQ+smCytzf7c50oMZRsR/a4w88aD34I+/QVSfnoAnSBFPJHItlOMJVw==" + "version": "2.29.4", + "resolved": "https://registry.npmjs.org/moment/-/moment-2.29.4.tgz", + "integrity": "sha512-5LC9SOxjSc2HF6vO2CyuTDNivEdoz2IvyJJGj6X8DJ0eFyfszE0QiEd+iXmBvUP3WHxSjFH/vIsA0EN00cgr8w==" }, "nanoid": { "version": "3.3.2", diff --git a/demos/speech_web/web_client/yarn.lock b/demos/speech_web/web_client/yarn.lock index 4504eab36..6777cf4ce 100644 --- a/demos/speech_web/web_client/yarn.lock +++ b/demos/speech_web/web_client/yarn.lock @@ -587,9 +587,9 @@ mime@^1.4.1: integrity sha512-x0Vn8spI+wuJ1O6S7gnbaQg8Pxh4NNHb7KSINmEWKiPE4RKOplvijn+NkmYmmRgP68mc70j2EbeTFRsrswaQeg== moment@^2.27.0: - version "2.29.3" - resolved "https://registry.npmmirror.com/moment/-/moment-2.29.3.tgz" - integrity sha512-c6YRvhEo//6T2Jz/vVtYzqBzwvPT95JBQ+smCytzf7c50oMZRsR/a4w88aD34I+/QVSfnoAnSBFPJHItlOMJVw== + version "2.29.4" + resolved "https://registry.yarnpkg.com/moment/-/moment-2.29.4.tgz#3dbe052889fe7c1b2ed966fcb3a77328964ef108" + integrity sha512-5LC9SOxjSc2HF6vO2CyuTDNivEdoz2IvyJJGj6X8DJ0eFyfszE0QiEd+iXmBvUP3WHxSjFH/vIsA0EN00cgr8w== ms@^2.1.1: version "2.1.3" From 9d84bc161ec167cd45c3e6cb4aabf630c2815859 Mon Sep 17 00:00:00 2001 From: Hui Zhang Date: Wed, 13 Jul 2022 08:34:06 +0800 Subject: [PATCH 105/192] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 1f4c8e5dc..9ac746497 100644 --- a/README.md +++ b/README.md @@ -34,7 +34,7 @@ **PaddleSpeech** is an open-source toolkit on [PaddlePaddle](https://github.com/PaddlePaddle/Paddle) platform for a variety of critical tasks in speech and audio, with the state-of-art and influential models. -**PaddleSpeech** won the [NAACL2022 Best Demo Award](https://2022.naacl.org/blog/best-demo-award/). +**PaddleSpeech** won the [NAACL2022 Best Demo Award](https://2022.naacl.org/blog/best-demo-award/), please check out our paper on [Arxiv](https://arxiv.org/abs/2205.12007). ##### Speech Recognition From 16f075e8b696981d1977ed16587e2331b9dc40da Mon Sep 17 00:00:00 2001 From: Hui Zhang Date: Wed, 13 Jul 2022 08:35:50 +0800 Subject: [PATCH 106/192] Update README_cn.md --- README_cn.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README_cn.md b/README_cn.md index 8df38602c..8f149d63e 100644 --- a/README_cn.md +++ b/README_cn.md @@ -36,7 +36,7 @@ **PaddleSpeech** 是基于飞桨 [PaddlePaddle](https://github.com/PaddlePaddle/Paddle) 的语音方向的开源模型库，用于语音和音频中的各种关键任务的开发，包含大量基于深度学习前沿和有影响力的模型，一些典型的应用示例如下： -**PaddleSpeech** 荣获 [NAACL2022 Best Demo Award](https://2022.naacl.org/blog/best-demo-award/). +**PaddleSpeech** 荣获 [NAACL2022 Best Demo Award](https://2022.naacl.org/blog/best-demo-award/), 请访问 [Arxiv](https://arxiv.org/abs/2205.12007) 论文。 ##### 语音识别 From 207bb5d93b4e567504e096b17ce881acc15f3f4c Mon Sep 17 00:00:00 2001 From: lym0302 Date: Tue, 12 Jul 2022 12:22:59 +0000 Subject: [PATCH 107/192] add mix frontend, test=tts --- paddlespeech/t2s/exps/syn_utils.py | 16 +- paddlespeech/t2s/exps/synthesize_e2e.py | 12 +- paddlespeech/t2s/frontend/mix_frontend.py | 179 ++++++++++++++++++++++ 3 files changed, 201 insertions(+), 6 deletions(-) create mode 100644 paddlespeech/t2s/frontend/mix_frontend.py diff --git a/paddlespeech/t2s/exps/syn_utils.py b/paddlespeech/t2s/exps/syn_utils.py index cabea9897..77abf97d9 100644 --- a/paddlespeech/t2s/exps/syn_utils.py +++ b/paddlespeech/t2s/exps/syn_utils.py @@ -29,6 +29,7 @@ from yacs.config import CfgNode from paddlespeech.t2s.datasets.data_table import DataTable from paddlespeech.t2s.frontend import English +from paddlespeech.t2s.frontend.mix_frontend import MixFrontend from paddlespeech.t2s.frontend.zh_frontend import Frontend from paddlespeech.t2s.modules.normalizer import ZScore from paddlespeech.utils.dynamic_import import dynamic_import @@ -98,6 +99,8 @@ def get_sentences(text_file: Optional[os.PathLike], lang: str='zh'): sentence = "".join(items[1:]) elif lang == 'en': sentence = " ".join(items[1:]) + elif lang == 'mix': + sentence = " ".join(items[1:]) sentences.append((utt_id, sentence)) return sentences @@ -111,7 +114,8 @@ def get_test_dataset(test_metadata: List[Dict[str, Any]], am_dataset = am[am.rindex('_') + 1:] if am_name == 'fastspeech2': fields = ["utt_id", "text"] - if am_dataset in {"aishell3", "vctk"} and speaker_dict is not None: + if am_dataset in {"aishell3", "vctk", + "mix"} and speaker_dict is not None: print("multiple speaker fastspeech2!") fields += ["spk_id"] elif voice_cloning: @@ -140,6 +144,10 @@ def get_frontend(lang: str='zh', phone_vocab_path=phones_dict, tone_vocab_path=tones_dict) elif lang == 'en': frontend = English(phone_vocab_path=phones_dict) + elif lang == 'mix': + frontend = MixFrontend( + phone_vocab_path=phones_dict, tone_vocab_path=tones_dict) + else: print("wrong lang!") print("frontend done!") @@ -341,8 +349,12 @@ def get_am_output( input_ids = frontend.get_input_ids( input, merge_sentences=merge_sentences) phone_ids = input_ids["phone_ids"] + elif lang == 'mix': + input_ids = frontend.get_input_ids( + input, merge_sentences=merge_sentences) + phone_ids = input_ids["phone_ids"] else: - print("lang should in {'zh', 'en'}!") + print("lang should in {'zh', 'en', 'mix'}!") if get_tone_ids: tone_ids = input_ids["tone_ids"] diff --git a/paddlespeech/t2s/exps/synthesize_e2e.py b/paddlespeech/t2s/exps/synthesize_e2e.py index 28657eb27..ef9543296 100644 --- a/paddlespeech/t2s/exps/synthesize_e2e.py +++ b/paddlespeech/t2s/exps/synthesize_e2e.py @@ -113,8 +113,12 @@ def evaluate(args): input_ids = frontend.get_input_ids( sentence, merge_sentences=merge_sentences) phone_ids = input_ids["phone_ids"] + elif args.lang == 'mix': + input_ids = frontend.get_input_ids( + sentence, merge_sentences=merge_sentences) + phone_ids = input_ids["phone_ids"] else: - print("lang should in {'zh', 'en'}!") + print("lang should in {'zh', 'en', 'mix'}!") with paddle.no_grad(): flags = 0 for i in range(len(phone_ids)): @@ -122,7 +126,7 @@ def evaluate(args): # acoustic model if am_name == 'fastspeech2': # multi speaker - if am_dataset in {"aishell3", "vctk"}: + if am_dataset in {"aishell3", "vctk", "mix"}: spk_id = paddle.to_tensor(args.spk_id) mel = am_inference(part_phone_ids, spk_id) else: @@ -170,7 +174,7 @@ def parse_args(): choices=[ 'speedyspeech_csmsc', 'speedyspeech_aishell3', 'fastspeech2_csmsc', 'fastspeech2_ljspeech', 'fastspeech2_aishell3', 'fastspeech2_vctk', - 'tacotron2_csmsc', 'tacotron2_ljspeech' + 'tacotron2_csmsc', 'tacotron2_ljspeech', 'fastspeech2_mix' ], help='Choose acoustic model type of tts task.') parser.add_argument( @@ -231,7 +235,7 @@ def parse_args(): '--lang', type=str, default='zh', - help='Choose model language. zh or en') + help='Choose model language. zh or en or mix') parser.add_argument( "--inference_dir", diff --git a/paddlespeech/t2s/frontend/mix_frontend.py b/paddlespeech/t2s/frontend/mix_frontend.py new file mode 100644 index 000000000..6386c871e --- /dev/null +++ b/paddlespeech/t2s/frontend/mix_frontend.py @@ -0,0 +1,179 @@ +# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import re +from typing import Dict +from typing import List + +import paddle + +from paddlespeech.t2s.frontend import English +from paddlespeech.t2s.frontend.zh_frontend import Frontend + + +class MixFrontend(): + def __init__(self, + g2p_model="pypinyin", + phone_vocab_path=None, + tone_vocab_path=None): + + self.zh_frontend = Frontend( + phone_vocab_path=phone_vocab_path, tone_vocab_path=tone_vocab_path) + self.en_frontend = English(phone_vocab_path=phone_vocab_path) + self.SENTENCE_SPLITOR = re.compile(r'([：、，；。？！,;?!][”’]?)') + self.sp_id = self.zh_frontend.vocab_phones["sp"] + self.sp_id_tensor = paddle.to_tensor([self.sp_id]) + + def is_chinese(self, char): + if char >= '\u4e00' and char <= '\u9fa5': + return True + else: + return False + + def is_alphabet(self, char): + if (char >= '\u0041' and char <= '\u005a') or (char >= '\u0061' and + char <= '\u007a'): + return True + else: + return False + + def is_number(self, char): + if char >= '\u0030' and char <= '\u0039': + return True + else: + return False + + def is_other(self, char): + if not (self.is_chinese(char) or self.is_number(char) or + self.is_alphabet(char)): + return True + else: + return False + + def _split(self, text: str) -> List[str]: + text = re.sub(r'[《》【】<=>{}()（）#&@“”^_|…\\]', '', text) + text = self.SENTENCE_SPLITOR.sub(r'\1\n', text) + text = text.strip() + sentences = [sentence.strip() for sentence in re.split(r'\n+', text)] + return sentences + + def _distinguish(self, text: str) -> List[str]: + # sentence --> [ch_part, en_part, ch_part, ...] + + segments = [] + types = [] + + flag = 0 + temp_seg = "" + temp_lang = "" + + # Determine the type of each character. type: blank, chinese, alphabet, number, unk. + for ch in text: + if self.is_chinese(ch): + types.append("zh") + elif self.is_alphabet(ch): + types.append("en") + elif ch == " ": + types.append("blank") + elif self.is_number(ch): + types.append("num") + else: + types.append("unk") + + assert len(types) == len(text) + + for i in range(len(types)): + + # find the first char of the seg + if flag == 0: + if types[i] != "unk" and types[i] != "blank": + temp_seg += text[i] + temp_lang = types[i] + flag = 1 + + else: + if types[i] == temp_lang or types[i] == "num": + temp_seg += text[i] + + elif temp_lang == "num" and types[i] != "unk": + temp_seg += text[i] + if types[i] == "zh" or types[i] == "en": + temp_lang = types[i] + + elif temp_lang == "en" and types[i] == "blank": + temp_seg += text[i] + + elif types[i] == "unk": + pass + + else: + segments.append((temp_seg, temp_lang)) + + if types[i] != "unk" and types[i] != "blank": + temp_seg = text[i] + temp_lang = types[i] + flag = 1 + else: + flag = 0 + temp_seg = "" + temp_lang = "" + + segments.append((temp_seg, temp_lang)) + + return segments + + def get_input_ids(self, + sentence: str, + merge_sentences: bool=True, + get_tone_ids: bool=False, + add_sp: bool=True) -> Dict[str, List[paddle.Tensor]]: + + sentences = self._split(sentence) + phones_list = [] + result = {} + + for text in sentences: + phones_seg = [] + segments = self._distinguish(text) + for seg in segments: + content = seg[0] + lang = seg[1] + if lang == "zh": + input_ids = self.zh_frontend.get_input_ids( + content, + merge_sentences=True, + get_tone_ids=get_tone_ids) + + elif lang == "en": + input_ids = self.en_frontend.get_input_ids( + content, merge_sentences=True) + + phones_seg.append(input_ids["phone_ids"][0]) + if add_sp: + phones_seg.append(self.sp_id_tensor) + + phones = paddle.concat(phones_seg) + phones_list.append(phones) + + if merge_sentences: + merge_list = paddle.concat(phones_list) + # rm the last 'sp' to avoid the noise at the end + # cause in the training data, no 'sp' in the end + if merge_list[-1] == self.sp_id_tensor: + merge_list = merge_list[:-1] + phones_list = [] + phones_list.append(merge_list) + + result["phone_ids"] = phones_list + + return result From 29a25b8c9f09e3472a81121870e6f5f1ac54800c Mon Sep 17 00:00:00 2001 From: TianYuan Date: Wed, 13 Jul 2022 05:08:43 +0000 Subject: [PATCH 108/192] fix protobuf version --- setup.py | 1 + 1 file changed, 1 insertion(+) diff --git a/setup.py b/setup.py index a3ef753a0..c90d037ef 100644 --- a/setup.py +++ b/setup.py @@ -50,6 +50,7 @@ base = [ "paddlespeech_feat", "Pillow>=9.0.0" "praatio==5.0.0", + "protobuf>=3.1.0, <=3.20.0", "pypinyin", "pypinyin-dict", "python-dateutil", From 5503c8bd6b347ec97e8b04dc984c96fc8dac6d81 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Tue, 12 Jul 2022 12:14:29 +0000 Subject: [PATCH 109/192] add ernie_sat synthesize script for metadata.jsonl, test=tts --- examples/aishell3/ernie_sat/conf/default.yaml | 11 +- .../aishell3_vctk/ernie_sat/conf/default.yaml | 11 +- .../ernie_sat/local/preprocess.sh | 42 +++- examples/aishell3_vctk/ernie_sat/path.sh | 2 +- examples/vctk/ernie_sat/local/synthesize.sh | 46 +++- paddlespeech/t2s/datasets/am_batch_fn.py | 10 +- paddlespeech/t2s/exps/ernie_sat/preprocess.py | 3 +- paddlespeech/t2s/exps/ernie_sat/synthesize.py | 201 ++++++++++++++++++ paddlespeech/t2s/exps/ernie_sat/train.py | 2 - paddlespeech/t2s/exps/syn_utils.py | 20 +- .../t2s/models/ernie_sat/ernie_sat.py | 37 +++- 11 files changed, 357 insertions(+), 28 deletions(-) diff --git a/examples/aishell3/ernie_sat/conf/default.yaml b/examples/aishell3/ernie_sat/conf/default.yaml index d724fe47c..d8993e86f 100644 --- a/examples/aishell3/ernie_sat/conf/default.yaml +++ b/examples/aishell3/ernie_sat/conf/default.yaml @@ -21,7 +21,7 @@ mlm_prob: 0.8 ########################################################### # DATA SETTING # ########################################################### -batch_size: 64 +batch_size: 20 num_workers: 2 ########################################################### @@ -71,14 +71,15 @@ model: ########################################################### # OPTIMIZER SETTING # ########################################################### -optimizer: - optim: adam # optimizer type - learning_rate: 0.001 # learning rate +scheduler_params: + d_model: 384 + warmup_steps: 4000 +grad_clip: 1.0 ########################################################### # TRAINING SETTING # ########################################################### -max_epoch: 200 +max_epoch: 600 num_snapshots: 5 ########################################################### diff --git a/examples/aishell3_vctk/ernie_sat/conf/default.yaml b/examples/aishell3_vctk/ernie_sat/conf/default.yaml index 8c9cd7e02..745a5b840 100644 --- a/examples/aishell3_vctk/ernie_sat/conf/default.yaml +++ b/examples/aishell3_vctk/ernie_sat/conf/default.yaml @@ -21,7 +21,7 @@ mlm_prob: 0.8 ########################################################### # DATA SETTING # ########################################################### -batch_size: 64 +batch_size: 20 num_workers: 2 ########################################################### @@ -71,14 +71,15 @@ model: ########################################################### # OPTIMIZER SETTING # ########################################################### -optimizer: - optim: adam # optimizer type - learning_rate: 0.001 # learning rate +scheduler_params: + d_model: 384 + warmup_steps: 4000 +grad_clip: 1.0 ########################################################### # TRAINING SETTING # ########################################################### -max_epoch: 100 +max_epoch: 300 num_snapshots: 5 ########################################################### diff --git a/examples/aishell3_vctk/ernie_sat/local/preprocess.sh b/examples/aishell3_vctk/ernie_sat/local/preprocess.sh index 0cdc7bcaf..783fd6333 100755 --- a/examples/aishell3_vctk/ernie_sat/local/preprocess.sh +++ b/examples/aishell3_vctk/ernie_sat/local/preprocess.sh @@ -7,14 +7,29 @@ config_path=$1 if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then # get durations from MFA's result - echo "Generate durations.txt from MFA results ..." + echo "Generate durations.txt from MFA results for aishell3 ..." python3 ${MAIN_ROOT}/utils/gen_duration_from_textgrid.py \ --inputdir=./aishell3_alignment_tone \ - --output durations.txt \ + --output durations_aishell3.txt \ --config=${config_path} fi if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then + # get durations from MFA's result + echo "Generate durations.txt from MFA results for vctk ..." + python3 ${MAIN_ROOT}/utils/gen_duration_from_textgrid.py \ + --inputdir=./vctk_alignment \ + --output durations_vctk.txt \ + --config=${config_path} +fi + +if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then + # get durations from MFA's result + echo "concat durations_aishell3.txt and durations_vctk.txt to durations.txt" + cat durations_aishell3.txt durations_vctk.txt > durations.txt +fi + +if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then # extract features echo "Extract features ..." python3 ${BIN_DIR}/preprocess.py \ @@ -27,7 +42,20 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then --cut-sil=True fi -if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then +if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then + # extract features + echo "Extract features ..." + python3 ${BIN_DIR}/preprocess.py \ + --dataset=vctk \ + --rootdir=~/datasets/VCTK-Corpus-0.92/ \ + --dumpdir=dump \ + --dur-file=durations.txt \ + --config=${config_path} \ + --num-cpu=20 \ + --cut-sil=True +fi + +if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then # get features' stats(mean and std) echo "Get features' stats ..." python3 ${MAIN_ROOT}/utils/compute_statistics.py \ @@ -35,15 +63,13 @@ if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then --field-name="speech" fi -if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then +if [ ${stage} -le 6 ] && [ ${stop_stage} -ge 6 ]; then # normalize and covert phone/speaker to id, dev and test should use train's stats echo "Normalize ..." python3 ${BIN_DIR}/normalize.py \ --metadata=dump/train/raw/metadata.jsonl \ --dumpdir=dump/train/norm \ --speech-stats=dump/train/speech_stats.npy \ - --pitch-stats=dump/train/pitch_stats.npy \ - --energy-stats=dump/train/energy_stats.npy \ --phones-dict=dump/phone_id_map.txt \ --speaker-dict=dump/speaker_id_map.txt @@ -51,8 +77,6 @@ if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then --metadata=dump/dev/raw/metadata.jsonl \ --dumpdir=dump/dev/norm \ --speech-stats=dump/train/speech_stats.npy \ - --pitch-stats=dump/train/pitch_stats.npy \ - --energy-stats=dump/train/energy_stats.npy \ --phones-dict=dump/phone_id_map.txt \ --speaker-dict=dump/speaker_id_map.txt @@ -60,8 +84,6 @@ if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then --metadata=dump/test/raw/metadata.jsonl \ --dumpdir=dump/test/norm \ --speech-stats=dump/train/speech_stats.npy \ - --pitch-stats=dump/train/pitch_stats.npy \ - --energy-stats=dump/train/energy_stats.npy \ --phones-dict=dump/phone_id_map.txt \ --speaker-dict=dump/speaker_id_map.txt fi diff --git a/examples/aishell3_vctk/ernie_sat/path.sh b/examples/aishell3_vctk/ernie_sat/path.sh index d46d2f612..4ecab0251 100755 --- a/examples/aishell3_vctk/ernie_sat/path.sh +++ b/examples/aishell3_vctk/ernie_sat/path.sh @@ -1,5 +1,5 @@ #!/bin/bash -export MAIN_ROOT=`realpath ${PWD}/../../` +export MAIN_ROOT=`realpath ${PWD}/../../../` export PATH=${MAIN_ROOT}:${MAIN_ROOT}/utils:${PATH} export LC_ALL=C diff --git a/examples/vctk/ernie_sat/local/synthesize.sh b/examples/vctk/ernie_sat/local/synthesize.sh index cc1f786e8..b24db018a 100755 --- a/examples/vctk/ernie_sat/local/synthesize.sh +++ b/examples/vctk/ernie_sat/local/synthesize.sh @@ -1 +1,45 @@ -#!/bin/bash \ No newline at end of file +#!/bin/bash + +config_path=$1 +train_output_path=$2 +ckpt_name=$3 + +stage=1 +stop_stage=1 + +# use am to predict duration here +# 增加 am_phones_dict am_tones_dict 等，也可以用新的方式构造 am, 不需要这么多参数了就 + +# pwgan +if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then + FLAGS_allocator_strategy=naive_best_fit \ + FLAGS_fraction_of_gpu_memory_to_use=0.01 \ + python3 ${BIN_DIR}/synthesize.py \ + --erniesat_config=${config_path} \ + --erniesat_ckpt=${train_output_path}/checkpoints/${ckpt_name} \ + --erniesat_stat=dump/train/speech_stats.npy \ + --voc=pwgan_vctk \ + --voc_config=pwg_vctk_ckpt_0.1.1/default.yaml \ + --voc_ckpt=pwg_vctk_ckpt_0.1.1/snapshot_iter_1500000.pdz \ + --voc_stat=pwg_vctk_ckpt_0.1.1/feats_stats.npy \ + --test_metadata=dump/test/norm/metadata.jsonl \ + --output_dir=${train_output_path}/test \ + --phones_dict=dump/phone_id_map.txt +fi + +# hifigan +if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then + FLAGS_allocator_strategy=naive_best_fit \ + FLAGS_fraction_of_gpu_memory_to_use=0.01 \ + python3 ${BIN_DIR}/synthesize.py \ + --erniesat_config=${config_path} \ + --erniesat_ckpt=${train_output_path}/checkpoints/${ckpt_name} \ + --erniesat_stat=dump/train/speech_stats.npy \ + --voc=hifigan_vctk \ + --voc_config=hifigan_vctk_ckpt_0.2.0/default.yaml \ + --voc_ckpt=hifigan_vctk_ckpt_0.2.0/snapshot_iter_2500000.pdz \ + --voc_stat=hifigan_vctk_ckpt_0.2.0/feats_stats.npy \ + --test_metadata=dump/test/norm/metadata.jsonl \ + --output_dir=${train_output_path}/test \ + --phones_dict=dump/phone_id_map.txt +fi diff --git a/paddlespeech/t2s/datasets/am_batch_fn.py b/paddlespeech/t2s/datasets/am_batch_fn.py index fbc03c0de..9c964d8e9 100644 --- a/paddlespeech/t2s/datasets/am_batch_fn.py +++ b/paddlespeech/t2s/datasets/am_batch_fn.py @@ -119,9 +119,17 @@ def erniesat_batch_fn(examples, speech_mask = make_non_pad_mask( speech_lengths, speech_pad[:, :, 0], length_dim=1).unsqueeze(-2) + # for training + span_bdy = None + # for inference + if 'span_bdy' in examples[0].keys(): + span_bdy = [ + np.array(item["span_bdy"], dtype=np.int64) for item in examples + ] + span_bdy = paddle.to_tensor(span_bdy) + # dual_mask 的是混合中英时候同时 mask 语音和文本 # ernie sat 在实现跨语言的时候都 mask 了 - span_bdy = None if text_masking: masked_pos, text_masked_pos = phones_text_masking( xs_pad=speech_pad, diff --git a/paddlespeech/t2s/exps/ernie_sat/preprocess.py b/paddlespeech/t2s/exps/ernie_sat/preprocess.py index a56314a26..fc9e0888b 100644 --- a/paddlespeech/t2s/exps/ernie_sat/preprocess.py +++ b/paddlespeech/t2s/exps/ernie_sat/preprocess.py @@ -166,7 +166,8 @@ def process_sentences(config, results.append(record) results.sort(key=itemgetter("utt_id")) - with jsonlines.open(output_dir / "metadata.jsonl", 'w') as writer: + # replace 'w' with 'a' to write from the end of file + with jsonlines.open(output_dir / "metadata.jsonl", 'a') as writer: for item in results: writer.write(item) print("Done") diff --git a/paddlespeech/t2s/exps/ernie_sat/synthesize.py b/paddlespeech/t2s/exps/ernie_sat/synthesize.py index e69de29bb..56f26a8bb 100644 --- a/paddlespeech/t2s/exps/ernie_sat/synthesize.py +++ b/paddlespeech/t2s/exps/ernie_sat/synthesize.py @@ -0,0 +1,201 @@ +# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import argparse +import logging +from pathlib import Path + +import jsonlines +import numpy as np +import paddle +import soundfile as sf +import yaml +from yacs.config import CfgNode + +from paddlespeech.t2s.datasets.am_batch_fn import build_erniesat_collate_fn +from paddlespeech.t2s.exps.syn_utils import denorm +from paddlespeech.t2s.exps.syn_utils import get_am_inference +from paddlespeech.t2s.exps.syn_utils import get_test_dataset +from paddlespeech.t2s.exps.syn_utils import get_voc_inference + + +def evaluate(args): + # dataloader has been too verbose + logging.getLogger("DataLoader").disabled = True + + # construct dataset for evaluation + with jsonlines.open(args.test_metadata, 'r') as reader: + test_metadata = list(reader) + + # Init body. + with open(args.erniesat_config) as f: + erniesat_config = CfgNode(yaml.safe_load(f)) + with open(args.voc_config) as f: + voc_config = CfgNode(yaml.safe_load(f)) + + print("========Args========") + print(yaml.safe_dump(vars(args))) + print("========Config========") + print(erniesat_config) + print(voc_config) + + # ernie sat model + erniesat_inference = get_am_inference( + am='erniesat_dataset', + am_config=erniesat_config, + am_ckpt=args.erniesat_ckpt, + am_stat=args.erniesat_stat, + phones_dict=args.phones_dict) + + test_dataset = get_test_dataset( + test_metadata=test_metadata, am='erniesat_dataset') + + # vocoder + voc_inference = get_voc_inference( + voc=args.voc, + voc_config=voc_config, + voc_ckpt=args.voc_ckpt, + voc_stat=args.voc_stat) + + output_dir = Path(args.output_dir) + output_dir.mkdir(parents=True, exist_ok=True) + collate_fn = build_erniesat_collate_fn( + mlm_prob=erniesat_config.mlm_prob, + mean_phn_span=erniesat_config.mean_phn_span, + seg_emb=erniesat_config.model['enc_input_layer'] == 'sega_mlm', + text_masking=False, + epoch=-1) + + gen_raw = True + erniesat_mu, erniesat_std = np.load(args.erniesat_stat) + + for datum in test_dataset: + # collate function and dataloader + utt_id = datum["utt_id"] + speech_len = datum["speech_lengths"] + + # mask the middle 1/3 speech + left_bdy, right_bdy = speech_len // 3, 2 * speech_len // 3 + span_bdy = [left_bdy, right_bdy] + datum.update({"span_bdy": span_bdy}) + + batch = collate_fn([datum]) + with paddle.no_grad(): + out_mels = erniesat_inference( + speech=batch["speech"], + text=batch["text"], + masked_pos=batch["masked_pos"], + speech_mask=batch["speech_mask"], + text_mask=batch["text_mask"], + speech_seg_pos=batch["speech_seg_pos"], + text_seg_pos=batch["text_seg_pos"], + span_bdy=span_bdy) + + # vocoder + wav_list = [] + for mel in out_mels: + part_wav = voc_inference(mel) + wav_list.append(part_wav) + wav = paddle.concat(wav_list) + wav = wav.numpy() + if gen_raw: + speech = datum['speech'] + denorm_mel = denorm(speech, erniesat_mu, erniesat_std) + denorm_mel = paddle.to_tensor(denorm_mel) + wav_raw = voc_inference(denorm_mel) + wav_raw = wav_raw.numpy() + + sf.write( + str(output_dir / (utt_id + ".wav")), + wav, + samplerate=erniesat_config.fs) + if gen_raw: + sf.write( + str(output_dir / (utt_id + "_raw" + ".wav")), + wav_raw, + samplerate=erniesat_config.fs) + + print(f"{utt_id} done!") + + +def parse_args(): + # parse args and config + parser = argparse.ArgumentParser( + description="Synthesize with acoustic model & vocoder") + # ernie sat + + parser.add_argument( + '--erniesat_config', + type=str, + default=None, + help='Config of acoustic model.') + parser.add_argument( + '--erniesat_ckpt', + type=str, + default=None, + help='Checkpoint file of acoustic model.') + parser.add_argument( + "--erniesat_stat", + type=str, + default=None, + help="mean and standard deviation used to normalize spectrogram when training acoustic model." + ) + parser.add_argument( + "--phones_dict", type=str, default=None, help="phone vocabulary file.") + # vocoder + parser.add_argument( + '--voc', + type=str, + default='pwgan_csmsc', + choices=[ + 'pwgan_aishell3', + 'pwgan_vctk', + 'hifigan_aishell3', + 'hifigan_vctk', + ], + help='Choose vocoder type of tts task.') + parser.add_argument( + '--voc_config', type=str, default=None, help='Config of voc.') + parser.add_argument( + '--voc_ckpt', type=str, default=None, help='Checkpoint file of voc.') + parser.add_argument( + "--voc_stat", + type=str, + default=None, + help="mean and standard deviation used to normalize spectrogram when training voc." + ) + # other + parser.add_argument( + "--ngpu", type=int, default=1, help="if ngpu == 0, use cpu.") + parser.add_argument("--test_metadata", type=str, help="test metadata.") + parser.add_argument("--output_dir", type=str, help="output dir.") + + args = parser.parse_args() + return args + + +def main(): + + args = parse_args() + if args.ngpu == 0: + paddle.set_device("cpu") + elif args.ngpu > 0: + paddle.set_device("gpu") + else: + print("ngpu should >= 0 !") + + evaluate(args) + + +if __name__ == "__main__": + main() diff --git a/paddlespeech/t2s/exps/ernie_sat/train.py b/paddlespeech/t2s/exps/ernie_sat/train.py index 733544476..977b8fc52 100644 --- a/paddlespeech/t2s/exps/ernie_sat/train.py +++ b/paddlespeech/t2s/exps/ernie_sat/train.py @@ -62,8 +62,6 @@ def train_sp(args, config): "align_end" ] converters = {"speech": np.load} - spk_num = None - # dataloader has been too verbose logging.getLogger("DataLoader").disabled = True diff --git a/paddlespeech/t2s/exps/syn_utils.py b/paddlespeech/t2s/exps/syn_utils.py index cabea9897..6005867ae 100644 --- a/paddlespeech/t2s/exps/syn_utils.py +++ b/paddlespeech/t2s/exps/syn_utils.py @@ -68,6 +68,10 @@ model_alias = { "paddlespeech.t2s.models.wavernn:WaveRNN", "wavernn_inference": "paddlespeech.t2s.models.wavernn:WaveRNNInference", + "erniesat": + "paddlespeech.t2s.models.ernie_sat:ErnieSAT", + "erniesat_inference": + "paddlespeech.t2s.models.ernie_sat:ErnieSATInference", } @@ -109,6 +113,7 @@ def get_test_dataset(test_metadata: List[Dict[str, Any]], # model: {model_name}_{dataset} am_name = am[:am.rindex('_')] am_dataset = am[am.rindex('_') + 1:] + converters = {} if am_name == 'fastspeech2': fields = ["utt_id", "text"] if am_dataset in {"aishell3", "vctk"} and speaker_dict is not None: @@ -126,8 +131,17 @@ def get_test_dataset(test_metadata: List[Dict[str, Any]], if voice_cloning: print("voice cloning!") fields += ["spk_emb"] + elif am_name == 'erniesat': + fields = [ + "utt_id", "text", "text_lengths", "speech", "speech_lengths", + "align_start", "align_end" + ] + converters = {"speech": np.load} + else: + print("wrong am, please input right am!!!") - test_dataset = DataTable(data=test_metadata, fields=fields) + test_dataset = DataTable( + data=test_metadata, fields=fields, converters=converters) return test_dataset @@ -193,6 +207,10 @@ def get_am_inference(am: str='fastspeech2_csmsc', **am_config["model"]) elif am_name == 'tacotron2': am = am_class(idim=vocab_size, odim=odim, **am_config["model"]) + elif am_name == 'erniesat': + am = am_class(idim=vocab_size, odim=odim, **am_config["model"]) + else: + print("wrong am, please input right am!!!") am.set_state_dict(paddle.load(am_ckpt)["main_params"]) am.eval() diff --git a/paddlespeech/t2s/models/ernie_sat/ernie_sat.py b/paddlespeech/t2s/models/ernie_sat/ernie_sat.py index 9f7f8aa78..54f5d542d 100644 --- a/paddlespeech/t2s/models/ernie_sat/ernie_sat.py +++ b/paddlespeech/t2s/models/ernie_sat/ernie_sat.py @@ -389,7 +389,7 @@ class MLM(nn.Layer): speech_seg_pos: paddle.Tensor, text_seg_pos: paddle.Tensor, span_bdy: List[int], - use_teacher_forcing: bool=False, ) -> Dict[str, paddle.Tensor]: + use_teacher_forcing: bool=False, ) -> List[paddle.Tensor]: ''' Args: speech (paddle.Tensor): input speech (1, Tmax, D). @@ -668,3 +668,38 @@ class ErnieSAT(nn.Layer): text_seg_pos=text_seg_pos, span_bdy=span_bdy, use_teacher_forcing=use_teacher_forcing) + + +class ErnieSATInference(nn.Layer): + def __init__(self, normalizer, model): + super().__init__() + self.normalizer = normalizer + self.acoustic_model = model + + def forward( + self, + speech: paddle.Tensor, + text: paddle.Tensor, + masked_pos: paddle.Tensor, + speech_mask: paddle.Tensor, + text_mask: paddle.Tensor, + speech_seg_pos: paddle.Tensor, + text_seg_pos: paddle.Tensor, + span_bdy: List[int], + use_teacher_forcing: bool=True, ): + outs = self.acoustic_model.inference( + speech=speech, + text=text, + masked_pos=masked_pos, + speech_mask=speech_mask, + text_mask=text_mask, + speech_seg_pos=speech_seg_pos, + text_seg_pos=text_seg_pos, + span_bdy=span_bdy, + use_teacher_forcing=use_teacher_forcing) + + normed_mel_pre, normed_mel_masked, normed_mel_post = outs + logmel_pre = self.normalizer.inverse(normed_mel_pre) + logmel_masked = self.normalizer.inverse(normed_mel_masked) + logmel_post = self.normalizer.inverse(normed_mel_post) + return logmel_pre, logmel_masked, logmel_post From 72fa8176ca21589c596543d6bc4dfe46d3f5085a Mon Sep 17 00:00:00 2001 From: TianYuan Date: Wed, 13 Jul 2022 11:54:44 +0000 Subject: [PATCH 110/192] fix for mix_lang --- paddlespeech/t2s/exps/ernie_sat/train.py | 2 ++ .../t2s/models/ernie_sat/ernie_sat_updater.py | 8 ++++++-- paddlespeech/t2s/modules/losses.py | 14 +++++++++----- paddlespeech/t2s/modules/nets_utils.py | 7 ++++--- 4 files changed, 21 insertions(+), 10 deletions(-) diff --git a/paddlespeech/t2s/exps/ernie_sat/train.py b/paddlespeech/t2s/exps/ernie_sat/train.py index 977b8fc52..020b0d0fa 100644 --- a/paddlespeech/t2s/exps/ernie_sat/train.py +++ b/paddlespeech/t2s/exps/ernie_sat/train.py @@ -154,6 +154,7 @@ def train_sp(args, config): dataloader=train_dataloader, text_masking=config["model"]["text_masking"], odim=odim, + vocab_size=vocab_size, output_dir=output_dir) trainer = Trainer(updater, (config.max_epoch, 'epoch'), output_dir) @@ -163,6 +164,7 @@ def train_sp(args, config): dataloader=dev_dataloader, text_masking=config["model"]["text_masking"], odim=odim, + vocab_size=vocab_size, output_dir=output_dir, ) if dist.get_rank() == 0: diff --git a/paddlespeech/t2s/models/ernie_sat/ernie_sat_updater.py b/paddlespeech/t2s/models/ernie_sat/ernie_sat_updater.py index 17cfaae96..219341c88 100644 --- a/paddlespeech/t2s/models/ernie_sat/ernie_sat_updater.py +++ b/paddlespeech/t2s/models/ernie_sat/ernie_sat_updater.py @@ -40,11 +40,13 @@ class ErnieSATUpdater(StandardUpdater): init_state=None, text_masking: bool=False, odim: int=80, + vocab_size: int=100, output_dir: Path=None): super().__init__(model, optimizer, dataloader, init_state=None) self.scheduler = scheduler - self.criterion = MLMLoss(text_masking=text_masking, odim=odim) + self.criterion = MLMLoss( + text_masking=text_masking, odim=odim, vocab_size=vocab_size) log_file = output_dir / 'worker_{}.log'.format(dist.get_rank()) self.filehandler = logging.FileHandler(str(log_file)) @@ -104,6 +106,7 @@ class ErnieSATEvaluator(StandardEvaluator): dataloader: DataLoader, text_masking: bool=False, odim: int=80, + vocab_size: int=100, output_dir: Path=None): super().__init__(model, dataloader) @@ -113,7 +116,8 @@ class ErnieSATEvaluator(StandardEvaluator): self.logger = logger self.msg = "" - self.criterion = MLMLoss(text_masking=text_masking, odim=odim) + self.criterion = MLMLoss( + text_masking=text_masking, odim=odim, vocab_size=vocab_size) def evaluate_core(self, batch): self.msg = "Evaluate: " diff --git a/paddlespeech/t2s/modules/losses.py b/paddlespeech/t2s/modules/losses.py index 95f2ff864..b3cf45aaf 100644 --- a/paddlespeech/t2s/modules/losses.py +++ b/paddlespeech/t2s/modules/losses.py @@ -1013,6 +1013,7 @@ class KLDivergenceLoss(nn.Layer): class MLMLoss(nn.Layer): def __init__(self, odim: int, + vocab_size: int=0, lsm_weight: float=0.1, ignore_id: int=-1, text_masking: bool=False): @@ -1025,6 +1026,7 @@ class MLMLoss(nn.Layer): self.l1_loss_func = nn.L1Loss(reduction='none') self.text_masking = text_masking self.odim = odim + self.vocab_size = vocab_size def forward( self, @@ -1059,10 +1061,12 @@ class MLMLoss(nn.Layer): assert text is not None assert text_outs is not None assert text_masked_pos is not None - text_mlm_loss = paddle.sum((self.text_mlm_loss( - paddle.reshape(text_outs, (-1, self.vocab_size)), - paddle.reshape(text, (-1))) * paddle.reshape( - text_masked_pos, - (-1)))) / paddle.sum((text_masked_pos) + 1e-10) + text_outs = paddle.reshape(text_outs, [-1, self.vocab_size]) + text = paddle.reshape(text, [-1]) + text_mlm_loss = self.text_mlm_loss(text_outs, text) + text_masked_pos_reshape = paddle.reshape(text_masked_pos, [-1]) + text_mlm_loss = paddle.sum( + text_mlm_loss * + text_masked_pos_reshape) / paddle.sum((text_masked_pos) + 1e-10) return mlm_loss, text_mlm_loss diff --git a/paddlespeech/t2s/modules/nets_utils.py b/paddlespeech/t2s/modules/nets_utils.py index 608a47421..1490ae836 100644 --- a/paddlespeech/t2s/modules/nets_utils.py +++ b/paddlespeech/t2s/modules/nets_utils.py @@ -464,14 +464,15 @@ def phones_text_masking(xs_pad: paddle.Tensor, set(range(length)) - set(masked_phn_idxs[0].tolist())) np.random.shuffle(unmasked_phn_idxs) masked_text_idxs = unmasked_phn_idxs[:text_mask_num_lower] - text_masked_pos[idx][masked_text_idxs] = 1 + text_masked_pos[idx, masked_text_idxs] = 1 masked_start = align_start[idx][masked_phn_idxs].tolist() masked_end = align_end[idx][masked_phn_idxs].tolist() for s, e in zip(masked_start, masked_end): masked_pos[idx, s:e] = 1 - non_eos_mask = paddle.reshape(src_mask, paddle.shape(xs_pad)[:2]) + non_eos_mask = paddle.reshape(src_mask, shape=paddle.shape(xs_pad)[:2]) masked_pos = masked_pos * non_eos_mask - non_eos_text_mask = paddle.reshape(text_mask, paddle.shape(xs_pad)[:2]) + non_eos_text_mask = paddle.reshape( + text_mask, shape=paddle.shape(text_pad)[:2]) text_masked_pos = text_masked_pos * non_eos_text_mask masked_pos = paddle.cast(masked_pos, 'bool') text_masked_pos = paddle.cast(text_masked_pos, 'bool') From a011074c24b077239105f36fa2ec12110390dbed Mon Sep 17 00:00:00 2001 From: lym0302 Date: Thu, 14 Jul 2022 03:12:06 +0000 Subject: [PATCH 111/192] update demos readme, test=doc --- demos/README.md | 1 + demos/README_cn.md | 5 +++-- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/demos/README.md b/demos/README.md index 2a306df6b..72b70b237 100644 --- a/demos/README.md +++ b/demos/README.md @@ -12,6 +12,7 @@ This directory contains many speech applications in multiple scenarios. * speech recognition - recognize text of an audio file * speech server - Server for Speech Task, e.g. ASR,TTS,CLS * streaming asr server - receive audio stream from websocket, and recognize to transcript. +* streaming tts server - receive text from http or websocket, and streaming audio data stream. * speech translation - end to end speech translation * story talker - book reader based on OCR and TTS * style_fs2 - multi style control for FastSpeech2 model diff --git a/demos/README_cn.md b/demos/README_cn.md index 471342127..04fc1fa7d 100644 --- a/demos/README_cn.md +++ b/demos/README_cn.md @@ -10,8 +10,9 @@ * 元宇宙 - 基于语音合成的 2D 增强现实。 * 标点恢复 - 通常作为语音识别的文本后处理任务，为一段无标点的纯文本添加相应的标点符号。 * 语音识别 - 识别一段音频中包含的语音文字。 -* 语音服务 - 离线语音服务，包括ASR、TTS、CLS等 -* 流式语音识别服务 - 流式输入语音数据流识别音频中的文字 +* 语音服务 - 离线语音服务，包括ASR、TTS、CLS等。 +* 流式语音识别服务 - 流式输入语音数据流识别音频中的文字。 +* 流式语音合成服务 - 根据待合成文本流式生成合成音频数据流。 * 语音翻译 - 实时识别音频中的语言，并同时翻译成目标语言。 * 会说话的故事书 - 基于 OCR 和语音合成的会说话的故事书。 * 个性化语音合成 - 基于 FastSpeech2 模型的个性化语音合成。 From 6699d760e43dd7fdead2b1778b4961992a0a41d1 Mon Sep 17 00:00:00 2001 From: Hui Zhang Date: Thu, 14 Jul 2022 11:33:25 +0800 Subject: [PATCH 112/192] Update README.md --- examples/callcenter/README.md | 19 +------------------ 1 file changed, 1 insertion(+), 18 deletions(-) diff --git a/examples/callcenter/README.md b/examples/callcenter/README.md index 1c715cb69..6d5211461 100644 --- a/examples/callcenter/README.md +++ b/examples/callcenter/README.md @@ -1,20 +1,3 @@ # Callcenter 8k sample rate -Data distribution: - -``` -676048 utts -491.4004722221223 h -4357792.0 text -2.4633630739178654 text/sec -2.6167397877068495 sec/utt -``` - -train/dev/test partition: - -``` - 33802 manifest.dev - 67606 manifest.test - 574640 manifest.train - 676048 total -``` +This recipe only has model/data config for 8k ASR, user need to prepare data and generate manifest metafile. You can see Aishell or Libripseech. From c1395e3a051b65d6503dd1a67b3708c6c1348120 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Thu, 14 Jul 2022 11:55:15 +0000 Subject: [PATCH 113/192] add synthesize for ernie_sat aishell3 and aishell3_vctk, test=tts --- .../aishell3/ernie_sat/local/synthesize.sh | 43 ++++++++++++++++++- examples/aishell3/tts3/local/synthesize.sh | 2 +- .../ernie_sat/local/synthesize.sh | 43 ++++++++++++++++++- 3 files changed, 85 insertions(+), 3 deletions(-) diff --git a/examples/aishell3/ernie_sat/local/synthesize.sh b/examples/aishell3/ernie_sat/local/synthesize.sh index cc1f786e8..3e907427c 100755 --- a/examples/aishell3/ernie_sat/local/synthesize.sh +++ b/examples/aishell3/ernie_sat/local/synthesize.sh @@ -1 +1,42 @@ -#!/bin/bash \ No newline at end of file +#!/bin/bash + +config_path=$1 +train_output_path=$2 +ckpt_name=$3 + +stage=1 +stop_stage=1 + +# pwgan +if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then + FLAGS_allocator_strategy=naive_best_fit \ + FLAGS_fraction_of_gpu_memory_to_use=0.01 \ + python3 ${BIN_DIR}/synthesize.py \ + --erniesat_config=${config_path} \ + --erniesat_ckpt=${train_output_path}/checkpoints/${ckpt_name} \ + --erniesat_stat=dump/train/speech_stats.npy \ + --voc=pwgan_aishell3 \ + --voc_config=pwg_aishell3_ckpt_0.5/default.yaml \ + --voc_ckpt=pwg_aishell3_ckpt_0.5/snapshot_iter_1000000.pdz \ + --voc_stat=pwg_aishell3_ckpt_0.5/feats_stats.npy \ + --test_metadata=dump/test/norm/metadata.jsonl \ + --output_dir=${train_output_path}/test \ + --phones_dict=dump/phone_id_map.txt +fi + +# hifigan +if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then + FLAGS_allocator_strategy=naive_best_fit \ + FLAGS_fraction_of_gpu_memory_to_use=0.01 \ + python3 ${BIN_DIR}/synthesize.py \ + --erniesat_config=${config_path} \ + --erniesat_ckpt=${train_output_path}/checkpoints/${ckpt_name} \ + --erniesat_stat=dump/train/speech_stats.npy \ + --voc=hifigan_aishell3 \ + --voc_config=hifigan_aishell3_ckpt_0.2.0/default.yaml \ + --voc_ckpt=hifigan_aishell3_ckpt_0.2.0/snapshot_iter_2500000.pdz \ + --voc_stat=hifigan_aishell3_ckpt_0.2.0/feats_stats.npy \ + --test_metadata=dump/test/norm/metadata.jsonl \ + --output_dir=${train_output_path}/test \ + --phones_dict=dump/phone_id_map.txt +fi diff --git a/examples/aishell3/tts3/local/synthesize.sh b/examples/aishell3/tts3/local/synthesize.sh index d3978833f..9134e0426 100755 --- a/examples/aishell3/tts3/local/synthesize.sh +++ b/examples/aishell3/tts3/local/synthesize.sh @@ -37,7 +37,7 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then --am_stat=dump/train/speech_stats.npy \ --voc=hifigan_aishell3 \ --voc_config=hifigan_aishell3_ckpt_0.2.0/default.yaml \ - --voc_ckpt=hifigan_aishell3_ckpt_0.2.0/snapshot_iter_2500000.pd \ + --voc_ckpt=hifigan_aishell3_ckpt_0.2.0/snapshot_iter_2500000.pdz \ --voc_stat=hifigan_aishell3_ckpt_0.2.0/feats_stats.npy \ --test_metadata=dump/test/norm/metadata.jsonl \ --output_dir=${train_output_path}/test \ diff --git a/examples/aishell3_vctk/ernie_sat/local/synthesize.sh b/examples/aishell3_vctk/ernie_sat/local/synthesize.sh index cc1f786e8..3e907427c 100755 --- a/examples/aishell3_vctk/ernie_sat/local/synthesize.sh +++ b/examples/aishell3_vctk/ernie_sat/local/synthesize.sh @@ -1 +1,42 @@ -#!/bin/bash \ No newline at end of file +#!/bin/bash + +config_path=$1 +train_output_path=$2 +ckpt_name=$3 + +stage=1 +stop_stage=1 + +# pwgan +if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then + FLAGS_allocator_strategy=naive_best_fit \ + FLAGS_fraction_of_gpu_memory_to_use=0.01 \ + python3 ${BIN_DIR}/synthesize.py \ + --erniesat_config=${config_path} \ + --erniesat_ckpt=${train_output_path}/checkpoints/${ckpt_name} \ + --erniesat_stat=dump/train/speech_stats.npy \ + --voc=pwgan_aishell3 \ + --voc_config=pwg_aishell3_ckpt_0.5/default.yaml \ + --voc_ckpt=pwg_aishell3_ckpt_0.5/snapshot_iter_1000000.pdz \ + --voc_stat=pwg_aishell3_ckpt_0.5/feats_stats.npy \ + --test_metadata=dump/test/norm/metadata.jsonl \ + --output_dir=${train_output_path}/test \ + --phones_dict=dump/phone_id_map.txt +fi + +# hifigan +if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then + FLAGS_allocator_strategy=naive_best_fit \ + FLAGS_fraction_of_gpu_memory_to_use=0.01 \ + python3 ${BIN_DIR}/synthesize.py \ + --erniesat_config=${config_path} \ + --erniesat_ckpt=${train_output_path}/checkpoints/${ckpt_name} \ + --erniesat_stat=dump/train/speech_stats.npy \ + --voc=hifigan_aishell3 \ + --voc_config=hifigan_aishell3_ckpt_0.2.0/default.yaml \ + --voc_ckpt=hifigan_aishell3_ckpt_0.2.0/snapshot_iter_2500000.pdz \ + --voc_stat=hifigan_aishell3_ckpt_0.2.0/feats_stats.npy \ + --test_metadata=dump/test/norm/metadata.jsonl \ + --output_dir=${train_output_path}/test \ + --phones_dict=dump/phone_id_map.txt +fi From 4a58ff6cc146cde5d309796801d7960e0e7f2834 Mon Sep 17 00:00:00 2001 From: iftaken Date: Thu, 14 Jul 2022 20:54:31 +0800 Subject: [PATCH 114/192] add python demo --- README_cn.md | 348 ++++++++++++++++++++++++++++++++------------------- 1 file changed, 217 insertions(+), 131 deletions(-) diff --git a/README_cn.md b/README_cn.md index 8f149d63e..9c72bd6a9 100644 --- a/README_cn.md +++ b/README_cn.md @@ -20,7 +20,8 @@

- 快速开始 + 安装 + | 快速开始 | 快速使用服务 | 快速使用流式服务 | 教程文档 @@ -38,115 +39,7 @@ **PaddleSpeech** 荣获 [NAACL2022 Best Demo Award](https://2022.naacl.org/blog/best-demo-award/), 请访问 [Arxiv](https://arxiv.org/abs/2205.12007) 论文。 -##### 语音识别 - -
- - - - - - - - - - - - - - - - - -
输入音频 识别结果
- -
- 		I knocked at the door on the ancient side of the building.
- -
- 		我认为跑步最重要的就是给我带来了身体健康。
-
- -##### 语音翻译 (英译中) - -
- - - - - - - - - - - - - -
输入音频 翻译结果
- -
- 		我 在 这栋 建筑 的 古老 门上 敲门。
- -
- -##### 语音合成 -
- - - - - - - - - - - - - - - - - - - - - -
输入文本合成音频
Life was like a box of chocolates, you never know what you're gonna get. - -
-
早上好，今天是2020/10/29，最低温度是-3°C。 - -
-
季姬寂，集鸡，鸡即棘鸡。棘鸡饥叽，季姬及箕稷济鸡。鸡既济，跻姬笈，季姬忌，急咭鸡，鸡急，继圾几，季姬急，即籍箕击鸡，箕疾击几伎，伎即齑，鸡叽集几基，季姬急极屐击鸡，鸡既殛，季姬激，即记《季姬击鸡记》。 - -
-
- -
- -更多合成音频，可以参考 [PaddleSpeech 语音合成音频示例](https://paddlespeech.readthedocs.io/en/latest/tts/demo.html)。 - -##### 标点恢复 -
- - - - - - - - - - - - - -
输入文本 输出文本
今天的天气真不错啊你下午有空吗我想约你一起去吃饭今天的天气真不错啊！你下午有空吗？我想约你一起去吃饭。
- -
### 特性 @@ -182,55 +75,135 @@

+ ## 安装 我们强烈建议用户在 **Linux** 环境下，*3.7* 以上版本的 *python* 上安装 PaddleSpeech。 -目前为止，**Linux** 支持声音分类、语音识别、语音合成和语音翻译四种功能，**Mac OSX、 Windows** 下暂不支持语音翻译功能。 想了解具体安装细节，可以参考[安装文档](./docs/source/install_cn.md)。 - -## 快速开始 +### 相关依赖 ++ gcc >= 4.8.5 ++ paddlepaddle >= 2.2.0 ++ python >= 3.7 ++ linux(推荐), mac, windows -安装完成后，开发者可以通过命令行快速开始，改变 `--input` 可以尝试用自己的音频或文本测试。 +PaddleSpeech依赖于paddlepaddle，安装可以参考[paddlepaddle官网](https://www.paddlepaddle.org.cn/)，根据自己机器的情况进行选择。这里给出cpu版本示例，其它版本大家可以根据自己机器的情况进行安装。 -**声音分类** ```shell -paddlespeech cls --input input.wav +pip install paddlepaddle -i https://mirror.baidu.com/pypi/simple ``` -**声纹识别** + +PaddleSpeech快速安装方式有两种，一种是pip安装，一种是源码编译（推荐）。 + +### pip 安装 ```shell -paddlespeech vector --task spk --input input_16k.wav +pip install pytest-runner +pip install paddlespeech ``` -**语音识别** + +### 源码编译 ```shell -paddlespeech asr --lang zh --input input_16k.wav +git clone https://github.com/PaddlePaddle/PaddleSpeech.git +cd PaddleSpeech +pip install pytest-runner +pip install . ``` -**语音翻译** (English to Chinese) + +更多关于安装问题，如conda环境，librosa依赖的系统库，gcc环境问题，kaldi安装等，可以参考这篇[安装文档](docs/source/install_cn.md)，如安装上遇到问题可以在[#2150](https://github.com/PaddlePaddle/PaddleSpeech/issues/2150)上留言以及查找相关问题 + + +## 快速开始 + +安装完成后，开发者可以通过命令行或者Python快速开始，改变 `--input` 可以尝试用自己的音频或文本测试，支持16k wav格式音频。你也可以在`aistudio`中进行体验[PaddleSpeech API Demo ](https://aistudio.baidu.com/aistudio/projectdetail/4281335?shared=1)。 + +测试音频示例下载 +```shell +wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav +wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/en.wav +``` + +**语音识别** ```shell -paddlespeech st --input input_16k.wav +paddlespeech asr --lang zh --input zh.wav ``` + +```python +from paddlespeech.cli.asr.infer import ASRExecutor +asr = ASRExecutor() +result = asr(audio_file="zh.wav") +``` + **语音合成** + +输出24k采样率wav格式音频 + ```shell paddlespeech tts --input "你好，欢迎使用百度飞桨深度学习框架！" --output output.wav ``` + +```python +from paddlespeech.cli.tts.infer import TTSExecutor +tts = TTSExecutor() +tts(text="今天天气十分不错。", output="output.wav") +``` - 语音合成的 web demo 已经集成进了 [Huggingface Spaces](https://huggingface.co/spaces). 请参考: [TTS Demo](https://huggingface.co/spaces/akhaliq/paddlespeech) -**文本后处理** - - 标点恢复 - ```bash - paddlespeech text --task punc --input 今天的天气真不错啊你下午有空吗我想约你一起去吃饭 - ``` +**声音分类** + +输出声音分类结果 -**批处理** +```shell +paddlespeech cls --input zh.wav +``` + +```python +from paddlespeech.cli.cls.infer import CLSExecutor +cls = CLSExecutor() +result = cls(audio_file="zh.wav") ``` -echo -e "1 欢迎光临。\n2 谢谢惠顾。" | paddlespeech tts + +**声纹提取** + +输出声音提取向量 + +```shell +paddlespeech vector --task spk --input zh.wav +``` + +```python +from paddlespeech.cli.vector import VectorExecutor +vec = VectorExecutor() +result = vec(audio_file="zh.wav") ``` -**Shell管道** -ASR + Punc: +**标点恢复** + +输出添加标点的文本 + +```shell +paddlespeech text --task punc --input 今天的天气真不错啊你下午有空吗我想约你一起去吃饭 +``` + +```python +from paddlespeech.cli.text.infer import TextExecutor +text_punc = TextExecutor() +result = text_punc(text="今天的天气真不错啊你下午有空吗我想约你一起去吃饭") +``` + +**语音翻译** + +使用预编译的kaldi相关工具，只支持在Ubuntu系统中体验 + +```shell +paddlespeech st --input en.wav ``` -paddlespeech asr --input ./zh.wav | paddlespeech text --task punc + +```python +from paddlespeech.cli.st.infer import STExecutor +st = STExecutor() +result = st(audio_file="en.wav") ``` + 更多命令行命令请参考 [demos](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/demos) > Note: 如果需要训练或者微调，请查看[语音识别](./docs/source/asr/quick_start.md)， [语音合成](./docs/source/tts/quick_start.md)。 @@ -614,6 +587,119 @@ PaddleSpeech 的 **语音合成** 主要包含三个模块：文本前端、声 语音合成模块最初被称为 [Parakeet](https://github.com/PaddlePaddle/Parakeet)，现在与此仓库合并。如果您对该任务的学术研究感兴趣，请参阅 [TTS 研究概述](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/docs/source/tts#overview)。此外，[模型介绍](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/tts/models_introduction.md) 是了解语音合成流程的一个很好的指南。 +## 效果展示 + +##### 语音识别 + +
+ + + + + + + + + + + + + + + + + +
输入音频 识别结果
+ +
+ 		I knocked at the door on the ancient side of the building.
+ +
+ 		我认为跑步最重要的就是给我带来了身体健康。
+ +
+ +##### 语音翻译 (英译中) + +
+ + + + + + + + + + + + + +
输入音频 翻译结果
+ +
+ 		我 在 这栋 建筑 的 古老 门上 敲门。
+ +
+ +##### 语音合成 +
+ + + + + + + + + + + + + + + + + + + + + +
输入文本合成音频
Life was like a box of chocolates, you never know what you're gonna get. + +
+
早上好，今天是2020/10/29，最低温度是-3°C。 + +
+
季姬寂，集鸡，鸡即棘鸡。棘鸡饥叽，季姬及箕稷济鸡。鸡既济，跻姬笈，季姬忌，急咭鸡，鸡急，继圾几，季姬急，即籍箕击鸡，箕疾击几伎，伎即齑，鸡叽集几基，季姬急极屐击鸡，鸡既殛，季姬激，即记《季姬击鸡记》。 + +
+
+ +
+ +更多合成音频，可以参考 [PaddleSpeech 语音合成音频示例](https://paddlespeech.readthedocs.io/en/latest/tts/demo.html)。 + +##### 标点恢复 +
+ + + + + + + + + + + + + +
输入文本 输出文本
今天的天气真不错啊你下午有空吗我想约你一起去吃饭今天的天气真不错啊！你下午有空吗？我想约你一起去吃饭。
+ +
+ + ## ⭐ 应用案例 - **[PaddleBoBo](https://github.com/JiehangXie/PaddleBoBo): 使用 PaddleSpeech 的语音合成模块生成虚拟人的声音。** From c167e128c524a2628ea14e5404eb937429b29144 Mon Sep 17 00:00:00 2001 From: Jackwaterveg <87408988+Jackwaterveg@users.noreply.github.com> Date: Fri, 15 Jul 2022 11:04:09 +0800 Subject: [PATCH 115/192] fix doc,test=doc --- examples/aishell/asr1/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/aishell/asr1/README.md b/examples/aishell/asr1/README.md index 25b28ede8..a7390fd68 100644 --- a/examples/aishell/asr1/README.md +++ b/examples/aishell/asr1/README.md @@ -1,5 +1,5 @@ # Transformer/Conformer ASR with Aishell -This example contains code used to train a Transformer or [Conformer](http://arxiv.org/abs/2008.03802) model with [Aishell dataset](http://www.openslr.org/resources/33) +This example contains code used to train a [u2](https://arxiv.org/pdf/2012.05481.pdf) model (Transformer or [Conformer](https://arxiv.org/pdf/2005.08100.pdf) model) with [Aishell dataset](http://www.openslr.org/resources/33) ## Overview All the scripts you need are in `run.sh`. There are several stages in `run.sh`, and each stage has its function. | Stage | Function | From e1f686abd97471f5792c8974d93446b5063c20f0 Mon Sep 17 00:00:00 2001 From: Jackwaterveg <87408988+Jackwaterveg@users.noreply.github.com> Date: Fri, 15 Jul 2022 11:06:01 +0800 Subject: [PATCH 116/192] test=doc --- examples/librispeech/asr1/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/librispeech/asr1/README.md b/examples/librispeech/asr1/README.md index ae252a58b..ca0081444 100644 --- a/examples/librispeech/asr1/README.md +++ b/examples/librispeech/asr1/README.md @@ -1,5 +1,5 @@ # Transformer/Conformer ASR with Librispeech -This example contains code used to train a Transformer or [Conformer](http://arxiv.org/abs/2008.03802) model with [Librispeech dataset](http://www.openslr.org/resources/12) +This example contains code used to train [u2](https://arxiv.org/pdf/2012.05481.pdf) model (Transformer or [Conformer](https://arxiv.org/pdf/2005.08100.pdf) model) with [Librispeech dataset](http://www.openslr.org/resources/12) ## Overview All the scripts you need are in `run.sh`. There are several stages in `run.sh`, and each stage has its function. | Stage | Function | From 69f399f8cddca79b7a8bd724833b402132ae912a Mon Sep 17 00:00:00 2001 From: Jackwaterveg <87408988+Jackwaterveg@users.noreply.github.com> Date: Fri, 15 Jul 2022 11:06:44 +0800 Subject: [PATCH 117/192] test=doc --- examples/librispeech/asr2/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/librispeech/asr2/README.md b/examples/librispeech/asr2/README.md index 5bc7185a9..26978520d 100644 --- a/examples/librispeech/asr2/README.md +++ b/examples/librispeech/asr2/README.md @@ -1,6 +1,6 @@ # Transformer/Conformer ASR with Librispeech ASR2 -This example contains code used to train a Transformer or [Conformer](http://arxiv.org/abs/2008.03802) model with [Librispeech dataset](http://www.openslr.org/resources/12) and use some functions in kaldi. +This example contains code used to train a [u2](https://arxiv.org/pdf/2012.05481.pdf) model (Transformer or [Conformer](https://arxiv.org/pdf/2005.08100.pdf) model) with [Librispeech dataset](http://www.openslr.org/resources/12) and use some functions in kaldi. To use this example, you need to install Kaldi first. From e37bcdd5a8f921074a065096cb8bba14df38f8c5 Mon Sep 17 00:00:00 2001 From: Jackwaterveg <87408988+Jackwaterveg@users.noreply.github.com> Date: Fri, 15 Jul 2022 11:10:04 +0800 Subject: [PATCH 118/192] test=doc --- examples/tiny/asr1/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/tiny/asr1/README.md b/examples/tiny/asr1/README.md index 6a4999aa6..cfa266704 100644 --- a/examples/tiny/asr1/README.md +++ b/examples/tiny/asr1/README.md @@ -1,5 +1,5 @@ # Transformer/Conformer ASR with Tiny -This example contains code used to train a Transformer or [Conformer](http://arxiv.org/abs/2008.03802) model Tiny dataset(a part of [[Librispeech dataset](http://www.openslr.org/resources/12)](http://www.openslr.org/resources/33)) +This example contains code used to train a [u2](https://arxiv.org/pdf/2012.05481.pdf) model (Transformer or [Conformer](https://arxiv.org/pdf/2005.08100.pdf) model) with Tiny dataset(a part of [[Librispeech dataset](http://www.openslr.org/resources/12)](http://www.openslr.org/resources/33)) ## Overview All the scripts you need are in `run.sh`. There are several stages in `run.sh`, and each stage has its function. | Stage | Function | From 75997d82775f4b2c31745ffdb9be34216b232cf9 Mon Sep 17 00:00:00 2001 From: huangyuxin Date: Fri, 15 Jul 2022 15:08:21 +0800 Subject: [PATCH 119/192] merge --- paddlespeech/s2t/__init__.py | 63 ----------- paddlespeech/s2t/models/u2/u2.py | 2 +- paddlespeech/s2t/modules/align.py | 15 ++- paddlespeech/s2t/modules/attention.py | 4 +- paddlespeech/s2t/modules/initializer.py | 136 ------------------------ 5 files changed, 10 insertions(+), 210 deletions(-) diff --git a/paddlespeech/s2t/__init__.py b/paddlespeech/s2t/__init__.py index 2da68435c..540d58c73 100644 --- a/paddlespeech/s2t/__init__.py +++ b/paddlespeech/s2t/__init__.py @@ -18,7 +18,6 @@ from typing import Union import paddle from paddle import nn -from paddle.fluid import core from paddle.nn import functional as F from paddlespeech.s2t.utils.log import Log @@ -39,46 +38,6 @@ paddle.long = 'int64' paddle.uint16 = 'uint16' paddle.cdouble = 'complex128' - -def convert_dtype_to_string(tensor_dtype): - """ - Convert the data type in numpy to the data type in Paddle - Args: - tensor_dtype(core.VarDesc.VarType): the data type in numpy. - Returns: - core.VarDesc.VarType: the data type in Paddle. - """ - dtype = tensor_dtype - if dtype == core.VarDesc.VarType.FP32: - return paddle.float32 - elif dtype == core.VarDesc.VarType.FP64: - return paddle.float64 - elif dtype == core.VarDesc.VarType.FP16: - return paddle.float16 - elif dtype == core.VarDesc.VarType.INT32: - return paddle.int32 - elif dtype == core.VarDesc.VarType.INT16: - return paddle.int16 - elif dtype == core.VarDesc.VarType.INT64: - return paddle.int64 - elif dtype == core.VarDesc.VarType.BOOL: - return paddle.bool - elif dtype == core.VarDesc.VarType.BF16: - # since there is still no support for bfloat16 in NumPy, - # uint16 is used for casting bfloat16 - return paddle.uint16 - elif dtype == core.VarDesc.VarType.UINT8: - return paddle.uint8 - elif dtype == core.VarDesc.VarType.INT8: - return paddle.int8 - elif dtype == core.VarDesc.VarType.COMPLEX64: - return paddle.complex64 - elif dtype == core.VarDesc.VarType.COMPLEX128: - return paddle.complex128 - else: - raise ValueError("Not supported tensor dtype %s" % dtype) - - if not hasattr(paddle, 'softmax'): logger.debug("register user softmax to paddle, remove this when fixed!") setattr(paddle, 'softmax', paddle.nn.functional.softmax) @@ -155,28 +114,6 @@ if not hasattr(paddle.Tensor, 'new_full'): paddle.Tensor.new_full = new_full paddle.static.Variable.new_full = new_full - -def eq(xs: paddle.Tensor, ys: Union[paddle.Tensor, float]) -> paddle.Tensor: - if convert_dtype_to_string(xs.dtype) == paddle.bool: - xs = xs.astype(paddle.int) - return xs.equal( - paddle.to_tensor( - ys, dtype=convert_dtype_to_string(xs.dtype), place=xs.place)) - - -if not hasattr(paddle.Tensor, 'eq'): - logger.debug( - "override eq of paddle.Tensor if exists or register, remove this when fixed!" - ) - paddle.Tensor.eq = eq - paddle.static.Variable.eq = eq - -if not hasattr(paddle, 'eq'): - logger.debug( - "override eq of paddle if exists or register, remove this when fixed!") - paddle.eq = eq - - def contiguous(xs: paddle.Tensor) -> paddle.Tensor: return xs diff --git a/paddlespeech/s2t/models/u2/u2.py b/paddlespeech/s2t/models/u2/u2.py index 3af353600..c77501848 100644 --- a/paddlespeech/s2t/models/u2/u2.py +++ b/paddlespeech/s2t/models/u2/u2.py @@ -318,7 +318,7 @@ class U2BaseModel(ASRInterface, nn.Layer): dim=1) # (B*N, i+1) # 2.6 Update end flag - end_flag = paddle.eq(hyps[:, -1], self.eos).view(-1, 1) + end_flag = paddle.equal(hyps[:, -1], self.eos).view(-1, 1) # 3. Select best of best scores = scores.view(batch_size, beam_size) diff --git a/paddlespeech/s2t/modules/align.py b/paddlespeech/s2t/modules/align.py index ad71ee021..cacda2461 100644 --- a/paddlespeech/s2t/modules/align.py +++ b/paddlespeech/s2t/modules/align.py @@ -13,8 +13,7 @@ # limitations under the License. import paddle from paddle import nn - -from paddlespeech.s2t.modules.initializer import KaimingUniform +import math """ To align the initializer between paddle and torch, the API below are set defalut initializer with priority higger than global initializer. @@ -82,10 +81,10 @@ class Linear(nn.Linear): name=None): if weight_attr is None: if global_init_type == "kaiming_uniform": - weight_attr = paddle.ParamAttr(initializer=KaimingUniform()) + weight_attr = paddle.ParamAttr(initializer=nn.initializer.KaimingUniform(fan_in=None, negative_slope=math.sqrt(5), nonlinearity='leaky_relu')) if bias_attr is None: if global_init_type == "kaiming_uniform": - bias_attr = paddle.ParamAttr(initializer=KaimingUniform()) + bias_attr = paddle.ParamAttr(initializer=nn.initializer.KaimingUniform(fan_in=None, negative_slope=math.sqrt(5), nonlinearity='leaky_relu')) super(Linear, self).__init__(in_features, out_features, weight_attr, bias_attr, name) @@ -105,10 +104,10 @@ class Conv1D(nn.Conv1D): data_format='NCL'): if weight_attr is None: if global_init_type == "kaiming_uniform": - weight_attr = paddle.ParamAttr(initializer=KaimingUniform()) + weight_attr = paddle.ParamAttr(initializer=nn.initializer.KaimingUniform(fan_in=None, negative_slope=math.sqrt(5), nonlinearity='leaky_relu')) if bias_attr is None: if global_init_type == "kaiming_uniform": - bias_attr = paddle.ParamAttr(initializer=KaimingUniform()) + bias_attr = paddle.ParamAttr(initializer=nn.initializer.KaimingUniform(fan_in=None, negative_slope=math.sqrt(5), nonlinearity='leaky_relu')) super(Conv1D, self).__init__( in_channels, out_channels, kernel_size, stride, padding, dilation, groups, padding_mode, weight_attr, bias_attr, data_format) @@ -129,10 +128,10 @@ class Conv2D(nn.Conv2D): data_format='NCHW'): if weight_attr is None: if global_init_type == "kaiming_uniform": - weight_attr = paddle.ParamAttr(initializer=KaimingUniform()) + weight_attr = paddle.ParamAttr(initializer=nn.initializer.KaimingUniform(fan_in=None, negative_slope=math.sqrt(5), nonlinearity='leaky_relu')) if bias_attr is None: if global_init_type == "kaiming_uniform": - bias_attr = paddle.ParamAttr(initializer=KaimingUniform()) + bias_attr = paddle.ParamAttr(initializer=nn.initializer.KaimingUniform(fan_in=None, negative_slope=math.sqrt(5), nonlinearity='leaky_relu')) super(Conv2D, self).__init__( in_channels, out_channels, kernel_size, stride, padding, dilation, groups, padding_mode, weight_attr, bias_attr, data_format) diff --git a/paddlespeech/s2t/modules/attention.py b/paddlespeech/s2t/modules/attention.py index 454f9c147..b6d615867 100644 --- a/paddlespeech/s2t/modules/attention.py +++ b/paddlespeech/s2t/modules/attention.py @@ -109,7 +109,7 @@ class MultiHeadedAttention(nn.Layer): # 1. onnx(16/-1, -1/-1, 16/0) # 2. jit (16/-1, -1/-1, 16/0, 16/4) if paddle.shape(mask)[2] > 0: # time2 > 0 - mask = mask.unsqueeze(1).eq(0) # (batch, 1, *, time2) + mask = mask.unsqueeze(1).equal(0) # (batch, 1, *, time2) # for last chunk, time2 might be larger than scores.size(-1) mask = mask[:, :, :, :paddle.shape(scores)[-1]] scores = scores.masked_fill(mask, -float('inf')) @@ -321,4 +321,4 @@ class RelPositionMultiHeadedAttention(MultiHeadedAttention): scores = (matrix_ac + matrix_bd) / math.sqrt( self.d_k) # (batch, head, time1, time2) - return self.forward_attention(v, scores, mask), new_cache \ No newline at end of file + return self.forward_attention(v, scores, mask), new_cache diff --git a/paddlespeech/s2t/modules/initializer.py b/paddlespeech/s2t/modules/initializer.py index 30a04e44f..cdcf2e052 100644 --- a/paddlespeech/s2t/modules/initializer.py +++ b/paddlespeech/s2t/modules/initializer.py @@ -12,142 +12,6 @@ # See the License for the specific language governing permissions and # limitations under the License. import numpy as np -from paddle.fluid import framework -from paddle.fluid import unique_name -from paddle.fluid.core import VarDesc -from paddle.fluid.initializer import MSRAInitializer - -__all__ = ['KaimingUniform'] - - -class KaimingUniform(MSRAInitializer): - r"""Implements the Kaiming Uniform initializer - - This class implements the weight initialization from the paper - `Delving Deep into Rectifiers: Surpassing Human-Level Performance on - ImageNet Classification `_ - by Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun. This is a - robust initialization method that particularly considers the rectifier - nonlinearities. - - In case of Uniform distribution, the range is [-x, x], where - - .. math:: - - x = \sqrt{\frac{1.0}{fan\_in}} - - In case of Normal distribution, the mean is 0 and the standard deviation - is - - .. math:: - - \sqrt{\\frac{2.0}{fan\_in}} - - Args: - fan_in (float32|None): fan_in for Kaiming uniform Initializer. If None, it is\ - inferred from the variable. default is None. - - Note: - It is recommended to set fan_in to None for most cases. - - Examples: - .. code-block:: python - - import paddle - import paddle.nn as nn - - linear = nn.Linear(2, - 4, - weight_attr=nn.initializer.KaimingUniform()) - data = paddle.rand([30, 10, 2], dtype='float32') - res = linear(data) - - """ - - def __init__(self, fan_in=None): - super(KaimingUniform, self).__init__( - uniform=True, fan_in=fan_in, seed=0) - - def __call__(self, var, block=None): - """Initialize the input tensor with MSRA initialization. - - Args: - var(Tensor): Tensor that needs to be initialized. - block(Block, optional): The block in which initialization ops - should be added. Used in static graph only, default None. - - Returns: - The initialization op - """ - block = self._check_block(block) - - assert isinstance(var, framework.Variable) - assert isinstance(block, framework.Block) - f_in, f_out = self._compute_fans(var) - - # If fan_in is passed, use it - fan_in = f_in if self._fan_in is None else self._fan_in - - if self._seed == 0: - self._seed = block.program.random_seed - - # to be compatible of fp16 initalizers - if var.dtype == VarDesc.VarType.FP16 or ( - var.dtype == VarDesc.VarType.BF16 and not self._uniform): - out_dtype = VarDesc.VarType.FP32 - out_var = block.create_var( - name=unique_name.generate( - ".".join(['masra_init', var.name, 'tmp'])), - shape=var.shape, - dtype=out_dtype, - type=VarDesc.VarType.LOD_TENSOR, - persistable=False) - else: - out_dtype = var.dtype - out_var = var - - if self._uniform: - limit = np.sqrt(1.0 / float(fan_in)) - op = block.append_op( - type="uniform_random", - inputs={}, - outputs={"Out": out_var}, - attrs={ - "shape": out_var.shape, - "dtype": int(out_dtype), - "min": -limit, - "max": limit, - "seed": self._seed - }, - stop_gradient=True) - - else: - std = np.sqrt(2.0 / float(fan_in)) - op = block.append_op( - type="gaussian_random", - outputs={"Out": out_var}, - attrs={ - "shape": out_var.shape, - "dtype": int(out_dtype), - "mean": 0.0, - "std": std, - "seed": self._seed - }, - stop_gradient=True) - - if var.dtype == VarDesc.VarType.FP16 or ( - var.dtype == VarDesc.VarType.BF16 and not self._uniform): - block.append_op( - type="cast", - inputs={"X": out_var}, - outputs={"Out": var}, - attrs={"in_dtype": out_var.dtype, - "out_dtype": var.dtype}) - - if not framework.in_dygraph_mode(): - var.op = op - return op - class DefaultInitializerContext(object): """ From 4c37d222529b73213a2ee3e35efb1900d680c320 Mon Sep 17 00:00:00 2001 From: Jackwaterveg <87408988+Jackwaterveg@users.noreply.github.com> Date: Fri, 15 Jul 2022 15:50:43 +0800 Subject: [PATCH 120/192] Update install_cn.md --- docs/source/install_cn.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/source/install_cn.md b/docs/source/install_cn.md index 75f4174e0..9f49ebad6 100644 --- a/docs/source/install_cn.md +++ b/docs/source/install_cn.md @@ -111,9 +111,9 @@ conda install -y -c gcc_linux-64=8.4.0 gxx_linux-64=8.4.0 ``` （提示： 如果你想使用**困难**方式完成安装，请不要使用最后一条命令） ### 安装 PaddlePaddle -你可以根据系统配置选择 PaddlePaddle 版本，例如系统使用 CUDA 10.2， CuDNN7.5 ，你可以安装 paddlepaddle-gpu 2.2.0： +你可以根据系统配置选择 PaddlePaddle 版本，例如系统使用 CUDA 10.2， CuDNN7.5 ，你可以安装 paddlepaddle-gpu 2.3.1： ```bash -python3 -m pip install paddlepaddle-gpu==2.2.0 -i https://mirror.baidu.com/pypi/simple +python3 -m pip install paddlepaddle-gpu==2.3.1 -i https://mirror.baidu.com/pypi/simple ``` ### 安装 PaddleSpeech 最后安装 `paddlespeech`，这样你就可以使用 `paddlespeech` 中已有的 examples： @@ -168,9 +168,9 @@ conda activate tools/venv conda install -y -c conda-forge sox libsndfile swig bzip2 libflac bc ``` ### 安装 PaddlePaddle -请确认你系统是否有 GPU，并且使用了正确版本的 paddlepaddle。例如系统使用 CUDA 10.2, CuDNN7.5 ，你可以安装 paddlepaddle-gpu 2.2.0： +请确认你系统是否有 GPU，并且使用了正确版本的 paddlepaddle。例如系统使用 CUDA 10.2, CuDNN7.5 ，你可以安装 paddlepaddle-gpu 2.3.1： ```bash -python3 -m pip install paddlepaddle-gpu==2.2.0 -i https://mirror.baidu.com/pypi/simple +python3 -m pip install paddlepaddle-gpu==2.3.1 -i https://mirror.baidu.com/pypi/simple ``` ### 用开发者模式安装 PaddleSpeech 部分用户系统由于默认源的问题，安装中会出现 kaldiio 安转出错的问题，建议首先安装 pytest-runner: From 9c0ee808f17ec1e02e8f78cbde41f2263fe3793f Mon Sep 17 00:00:00 2001 From: Jackwaterveg <87408988+Jackwaterveg@users.noreply.github.com> Date: Fri, 15 Jul 2022 15:51:20 +0800 Subject: [PATCH 121/192] Update install.md --- docs/source/install.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/source/install.md b/docs/source/install.md index 83b646198..6a9ff3bc8 100644 --- a/docs/source/install.md +++ b/docs/source/install.md @@ -117,9 +117,9 @@ conda install -y -c gcc_linux-64=8.4.0 gxx_linux-64=8.4.0 ``` (Hip: Do not use the last script if you want to install by **Hard** way): ### Install PaddlePaddle -You can choose the `PaddlePaddle` version based on your system. For example, for CUDA 10.2, CuDNN7.5 install paddlepaddle-gpu 2.2.0: +You can choose the `PaddlePaddle` version based on your system. For example, for CUDA 10.2, CuDNN7.5 install paddlepaddle-gpu 2.3.1: ```bash -python3 -m pip install paddlepaddle-gpu==2.2.0 -i https://mirror.baidu.com/pypi/simple +python3 -m pip install paddlepaddle-gpu==2.3.1 -i https://mirror.baidu.com/pypi/simple ``` ### Install PaddleSpeech You can install `paddlespeech` by the following command，then you can use the `ready-made` examples in `paddlespeech` : @@ -180,9 +180,9 @@ Some users may fail to install `kaldiio` due to the default download source, you ```bash pip install pytest-runner -i https://pypi.tuna.tsinghua.edu.cn/simple ``` -Make sure you have GPU and the paddlepaddle version is right. For example, for CUDA 10.2, CuDNN7.5 install paddle 2.2.0: +Make sure you have GPU and the paddlepaddle version is right. For example, for CUDA 10.2, CuDNN7.5 install paddle 2.3.1: ```bash -python3 -m pip install paddlepaddle-gpu==2.2.0 -i https://mirror.baidu.com/pypi/simple +python3 -m pip install paddlepaddle-gpu==2.3.1 -i https://mirror.baidu.com/pypi/simple ``` ### Install PaddleSpeech in Developing Mode ```bash From 3d2431652389df3ab145fc4a054dbfe7de9a3712 Mon Sep 17 00:00:00 2001 From: Jackwaterveg <87408988+Jackwaterveg@users.noreply.github.com> Date: Fri, 15 Jul 2022 15:53:13 +0800 Subject: [PATCH 122/192] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 9ac746497..e93aa1d9c 100644 --- a/README.md +++ b/README.md @@ -179,7 +179,7 @@ Via the easy-to-use, efficient, flexible and scalable implementation, our vision ## Installation -We strongly recommend our users to install PaddleSpeech in **Linux** with *python>=3.7*. +We strongly recommend our users to install PaddleSpeech in **Linux** with *python>=3.7* and *paddlepaddle>=2.3.1*. Up to now, **Linux** supports CLI for the all our tasks, **Mac OSX** and **Windows** only supports PaddleSpeech CLI for Audio Classification, Speech-to-Text and Text-to-Speech. To install `PaddleSpeech`, please see [installation](./docs/source/install.md). From 378d25aef86f009b00227bfd78ae996c4a8ebd9e Mon Sep 17 00:00:00 2001 From: TianYuan Date: Fri, 15 Jul 2022 12:08:51 +0000 Subject: [PATCH 123/192] update vits ckpt, test=tts --- examples/csmsc/vits/README.md | 4 ++-- examples/csmsc/vits/conf/default.yaml | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/examples/csmsc/vits/README.md b/examples/csmsc/vits/README.md index 5ca57e3a3..8f223e07b 100644 --- a/examples/csmsc/vits/README.md +++ b/examples/csmsc/vits/README.md @@ -154,7 +154,7 @@ VITS checkpoint contains files listed below. vits_csmsc_ckpt_1.1.0 ├── default.yaml # default config used to train vitx ├── phone_id_map.txt # phone vocabulary file when training vits -└── snapshot_iter_350000.pdz # model parameters and optimizer states +└── snapshot_iter_333000.pdz # model parameters and optimizer states ``` ps: This ckpt is not good enough, a better result is training @@ -169,7 +169,7 @@ FLAGS_allocator_strategy=naive_best_fit \ FLAGS_fraction_of_gpu_memory_to_use=0.01 \ python3 ${BIN_DIR}/synthesize_e2e.py \ --config=vits_csmsc_ckpt_1.1.0/default.yaml \ - --ckpt=vits_csmsc_ckpt_1.1.0/snapshot_iter_350000.pdz \ + --ckpt=vits_csmsc_ckpt_1.1.0/snapshot_iter_333000.pdz \ --phones_dict=vits_csmsc_ckpt_1.1.0/phone_id_map.txt \ --output_dir=exp/default/test_e2e \ --text=${BIN_DIR}/../sentences.txt \ diff --git a/examples/csmsc/vits/conf/default.yaml b/examples/csmsc/vits/conf/default.yaml index 32f995cc9..a2aef998d 100644 --- a/examples/csmsc/vits/conf/default.yaml +++ b/examples/csmsc/vits/conf/default.yaml @@ -179,7 +179,7 @@ generator_first: False # whether to start updating generator first # OTHER TRAINING SETTING # ########################################################## num_snapshots: 10 # max number of snapshots to keep while training -train_max_steps: 250000 # Number of training steps. == total_iters / ngpus, total_iters = 1000000 +train_max_steps: 350000 # Number of training steps. == total_iters / ngpus, total_iters = 1000000 save_interval_steps: 1000 # Interval steps to save checkpoint. eval_interval_steps: 250 # Interval steps to evaluate the network. seed: 777 # random seed number From 7c9208765f3ca5dc573ed9a977cb1107d00cb82c Mon Sep 17 00:00:00 2001 From: huangyuxin Date: Fri, 15 Jul 2022 19:48:00 +0800 Subject: [PATCH 124/192] fix audio,test=doc --- paddlespeech/audio/__init__.py | 3 +++ paddlespeech/audio/text/__init__.py | 13 +++++++++++++ 2 files changed, 16 insertions(+) create mode 100644 paddlespeech/audio/text/__init__.py diff --git a/paddlespeech/audio/__init__.py b/paddlespeech/audio/__init__.py index 6184c1dd4..83be8e32e 100644 --- a/paddlespeech/audio/__init__.py +++ b/paddlespeech/audio/__init__.py @@ -14,6 +14,9 @@ from . import compliance from . import datasets from . import features +from . import text +from . import transform +from . import streamdata from . import functional from . import io from . import metric diff --git a/paddlespeech/audio/text/__init__.py b/paddlespeech/audio/text/__init__.py new file mode 100644 index 000000000..185a92b8d --- /dev/null +++ b/paddlespeech/audio/text/__init__.py @@ -0,0 +1,13 @@ +# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. From 97965f4c37057ae716b7ee20de4e070ac6610604 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Fri, 15 Jul 2022 02:48:58 +0000 Subject: [PATCH 125/192] fix mlm_prob, test=tts --- examples/aishell3/ernie_sat/local/train.sh | 2 +- examples/aishell3_vctk/ernie_sat/local/train.sh | 2 +- examples/vctk/ernie_sat/conf/default.yaml | 4 ++-- examples/vctk/ernie_sat/local/train.sh | 2 +- paddlespeech/t2s/datasets/am_batch_fn.py | 17 +++++------------ paddlespeech/t2s/exps/ernie_sat/synthesize.py | 3 +-- paddlespeech/t2s/exps/ernie_sat/train.py | 3 +-- 7 files changed, 12 insertions(+), 21 deletions(-) diff --git a/examples/aishell3/ernie_sat/local/train.sh b/examples/aishell3/ernie_sat/local/train.sh index f90db9150..30720e8f5 100755 --- a/examples/aishell3/ernie_sat/local/train.sh +++ b/examples/aishell3/ernie_sat/local/train.sh @@ -8,5 +8,5 @@ python3 ${BIN_DIR}/train.py \ --dev-metadata=dump/dev/norm/metadata.jsonl \ --config=${config_path} \ --output-dir=${train_output_path} \ - --ngpu=1 \ + --ngpu=2 \ --phones-dict=dump/phone_id_map.txt \ No newline at end of file diff --git a/examples/aishell3_vctk/ernie_sat/local/train.sh b/examples/aishell3_vctk/ernie_sat/local/train.sh index f90db9150..30720e8f5 100755 --- a/examples/aishell3_vctk/ernie_sat/local/train.sh +++ b/examples/aishell3_vctk/ernie_sat/local/train.sh @@ -8,5 +8,5 @@ python3 ${BIN_DIR}/train.py \ --dev-metadata=dump/dev/norm/metadata.jsonl \ --config=${config_path} \ --output-dir=${train_output_path} \ - --ngpu=1 \ + --ngpu=2 \ --phones-dict=dump/phone_id_map.txt \ No newline at end of file diff --git a/examples/vctk/ernie_sat/conf/default.yaml b/examples/vctk/ernie_sat/conf/default.yaml index 74c847a5f..b61c81703 100644 --- a/examples/vctk/ernie_sat/conf/default.yaml +++ b/examples/vctk/ernie_sat/conf/default.yaml @@ -79,7 +79,7 @@ grad_clip: 1.0 ########################################################### # TRAINING SETTING # ########################################################### -max_epoch: 200 +max_epoch: 600 num_snapshots: 5 ########################################################### @@ -160,4 +160,4 @@ token_list: - UH0 - AW0 - OY0 -- \ No newline at end of file +- diff --git a/examples/vctk/ernie_sat/local/train.sh b/examples/vctk/ernie_sat/local/train.sh index f90db9150..30720e8f5 100755 --- a/examples/vctk/ernie_sat/local/train.sh +++ b/examples/vctk/ernie_sat/local/train.sh @@ -8,5 +8,5 @@ python3 ${BIN_DIR}/train.py \ --dev-metadata=dump/dev/norm/metadata.jsonl \ --config=${config_path} \ --output-dir=${train_output_path} \ - --ngpu=1 \ + --ngpu=2 \ --phones-dict=dump/phone_id_map.txt \ No newline at end of file diff --git a/paddlespeech/t2s/datasets/am_batch_fn.py b/paddlespeech/t2s/datasets/am_batch_fn.py index 9c964d8e9..05471167f 100644 --- a/paddlespeech/t2s/datasets/am_batch_fn.py +++ b/paddlespeech/t2s/datasets/am_batch_fn.py @@ -29,20 +29,13 @@ from paddlespeech.t2s.modules.nets_utils import phones_text_masking # 因为要传参数，所以需要额外构建 -def build_erniesat_collate_fn( - mlm_prob: float=0.8, - mean_phn_span: int=8, - seg_emb: bool=False, - text_masking: bool=False, - epoch: int=-1, ): - - if epoch == -1: - mlm_prob_factor = 1 - else: - mlm_prob_factor = 0.8 +def build_erniesat_collate_fn(mlm_prob: float=0.8, + mean_phn_span: int=8, + seg_emb: bool=False, + text_masking: bool=False): return ErnieSATCollateFn( - mlm_prob=mlm_prob * mlm_prob_factor, + mlm_prob=mlm_prob, mean_phn_span=mean_phn_span, seg_emb=seg_emb, text_masking=text_masking) diff --git a/paddlespeech/t2s/exps/ernie_sat/synthesize.py b/paddlespeech/t2s/exps/ernie_sat/synthesize.py index 56f26a8bb..2e3582948 100644 --- a/paddlespeech/t2s/exps/ernie_sat/synthesize.py +++ b/paddlespeech/t2s/exps/ernie_sat/synthesize.py @@ -73,8 +73,7 @@ def evaluate(args): mlm_prob=erniesat_config.mlm_prob, mean_phn_span=erniesat_config.mean_phn_span, seg_emb=erniesat_config.model['enc_input_layer'] == 'sega_mlm', - text_masking=False, - epoch=-1) + text_masking=False) gen_raw = True erniesat_mu, erniesat_std = np.load(args.erniesat_stat) diff --git a/paddlespeech/t2s/exps/ernie_sat/train.py b/paddlespeech/t2s/exps/ernie_sat/train.py index 020b0d0fa..5d8eadb68 100644 --- a/paddlespeech/t2s/exps/ernie_sat/train.py +++ b/paddlespeech/t2s/exps/ernie_sat/train.py @@ -84,8 +84,7 @@ def train_sp(args, config): mlm_prob=config.mlm_prob, mean_phn_span=config.mean_phn_span, seg_emb=config.model['enc_input_layer'] == 'sega_mlm', - text_masking=config["model"]["text_masking"], - epoch=config["max_epoch"]) + text_masking=config["model"]["text_masking"]) train_sampler = DistributedBatchSampler( train_dataset, From d7a7552795f27f16564028b1723eb1406c6db80d Mon Sep 17 00:00:00 2001 From: iftaken Date: Mon, 18 Jul 2022 16:23:14 +0800 Subject: [PATCH 126/192] update readme cn add python api --- README_cn.md | 348 +++++++++++++++++++++++++++++---------------------- 1 file changed, 200 insertions(+), 148 deletions(-) diff --git a/README_cn.md b/README_cn.md index 9c72bd6a9..896c575ce 100644 --- a/README_cn.md +++ b/README_cn.md @@ -39,7 +39,117 @@ **PaddleSpeech** 荣获 [NAACL2022 Best Demo Award](https://2022.naacl.org/blog/best-demo-award/), 请访问 [Arxiv](https://arxiv.org/abs/2205.12007) 论文。 +### 效果展示 +##### 语音识别 + +
+ + + + + + + + + + + + + + + + + +
输入音频 识别结果
+ +
+ 		I knocked at the door on the ancient side of the building.
+ +
+ 		我认为跑步最重要的就是给我带来了身体健康。
+ +
+ +##### 语音翻译 (英译中) + +
+ + + + + + + + + + + + + +
输入音频 翻译结果
+ +
+ 		我 在 这栋 建筑 的 古老 门上 敲门。
+ +
+ +##### 语音合成 +
+ + + + + + + + + + + + + + + + + + + + + +
输入文本合成音频
Life was like a box of chocolates, you never know what you're gonna get. + +
+
早上好，今天是2020/10/29，最低温度是-3°C。 + +
+
季姬寂，集鸡，鸡即棘鸡。棘鸡饥叽，季姬及箕稷济鸡。鸡既济，跻姬笈，季姬忌，急咭鸡，鸡急，继圾几，季姬急，即籍箕击鸡，箕疾击几伎，伎即齑，鸡叽集几基，季姬急极屐击鸡，鸡既殛，季姬激，即记《季姬击鸡记》。 + +
+
+ +
+ +更多合成音频，可以参考 [PaddleSpeech 语音合成音频示例](https://paddlespeech.readthedocs.io/en/latest/tts/demo.html)。 + +##### 标点恢复 +
+ + + + + + + + + + + + + +
输入文本 输出文本
今天的天气真不错啊你下午有空吗我想约你一起去吃饭今天的天气真不错啊！你下午有空吗？我想约你一起去吃饭。
+ +
### 特性 @@ -47,7 +157,7 @@ 本项目采用了易用、高效、灵活以及可扩展的实现，旨在为工业应用、学术研究提供更好的支持，实现的功能包含训练、推断以及测试模块，以及部署过程，主要包括 - 📦 **易用性**: 安装门槛低，可使用 [CLI](#quick-start) 快速开始。 - 🏆 **对标 SoTA**: 提供了高速、轻量级模型，且借鉴了最前沿的技术。 -- 🏆 **流式ASR和TTS系统**：工业级的端到端流式识别、流式合成系统。 +- 🏆 **流式 ASR 和 TTS 系统**：工业级的端到端流式识别、流式合成系统。 - 💯 **基于规则的中文前端**: 我们的前端包含文本正则化和字音转换（G2P）。此外，我们使用自定义语言规则来适应中文语境。 - **多种工业界以及学术界主流功能支持**: - 🛎️ 典型音频任务: 本工具包提供了音频任务如音频分类、语音翻译、自动语音识别、文本转语音、语音合成、声纹识别、KWS等任务的实现。 @@ -82,7 +192,7 @@ ### 相关依赖 + gcc >= 4.8.5 -+ paddlepaddle >= 2.2.0 ++ paddlepaddle >= 2.3.1 + python >= 3.7 + linux(推荐), mac, windows @@ -108,12 +218,14 @@ pip install pytest-runner pip install . ``` -更多关于安装问题，如conda环境，librosa依赖的系统库，gcc环境问题，kaldi安装等，可以参考这篇[安装文档](docs/source/install_cn.md)，如安装上遇到问题可以在[#2150](https://github.com/PaddlePaddle/PaddleSpeech/issues/2150)上留言以及查找相关问题 +更多关于安装问题，如 conda 环境，librosa 依赖的系统库，gcc 环境问题，kaldi 安装等，可以参考这篇[安装文档](docs/source/install_cn.md)，如安装上遇到问题可以在 [#2150](https://github.com/PaddlePaddle/PaddleSpeech/issues/2150) 上留言以及查找相关问题 ## 快速开始 -安装完成后，开发者可以通过命令行或者Python快速开始，改变 `--input` 可以尝试用自己的音频或文本测试，支持16k wav格式音频。你也可以在`aistudio`中进行体验[PaddleSpeech API Demo ](https://aistudio.baidu.com/aistudio/projectdetail/4281335?shared=1)。 +安装完成后，开发者可以通过命令行或者Python快速开始，命令行模式下改变 `--input` 可以尝试用自己的音频或文本测试，支持16k wav格式音频。 + +你也可以在`aistudio`中快速体验 👉🏻[PaddleSpeech API Demo ](https://aistudio.baidu.com/aistudio/projectdetail/4281335?shared=1)。 测试音频示例下载 ```shell @@ -121,95 +233,147 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/en.wav ``` -**语音识别** +### 语音识别 +
 （点击可展开）开源中文语音识别 + +命令行一键体验 + ```shell paddlespeech asr --lang zh --input zh.wav ``` +Python API 一键预测 + ```python -from paddlespeech.cli.asr.infer import ASRExecutor -asr = ASRExecutor() -result = asr(audio_file="zh.wav") +>>> from paddlespeech.cli.asr.infer import ASRExecutor +>>> asr = ASRExecutor() +>>> result = asr(audio_file="zh.wav") +>>> print(result) +我认为跑步最重要的就是给我带来了身体健康 ``` +
+ +### 语音合成 + +
 开源中文语音合成 -**语音合成** +输出 24k 采样率wav格式音频 -输出24k采样率wav格式音频 + +命令行一键体验 ```shell paddlespeech tts --input "你好，欢迎使用百度飞桨深度学习框架！" --output output.wav ``` +Python API 一键预测 + ```python -from paddlespeech.cli.tts.infer import TTSExecutor -tts = TTSExecutor() -tts(text="今天天气十分不错。", output="output.wav") +>>> from paddlespeech.cli.tts.infer import TTSExecutor +>>> tts = TTSExecutor() +>>> tts(text="今天天气十分不错。", output="output.wav") ``` -- 语音合成的 web demo 已经集成进了 [Huggingface Spaces](https://huggingface.co/spaces). 请参考: [TTS Demo](https://huggingface.co/spaces/akhaliq/paddlespeech) +- 语音合成的 web demo 已经集成进了 [Huggingface Spaces](https://huggingface.co/spaces). 请参考: [TTS Demo](https://huggingface.co/spaces/KPatrick/PaddleSpeechTTS) + +
+ +### 声音分类 -**声音分类** +
 适配多场景的开放领域声音分类工具 -输出声音分类结果 +基于AudioSet数据集527个类别的声音分类模型 + +命令行一键体验 ```shell paddlespeech cls --input zh.wav ``` +python API 一键预测 + ```python -from paddlespeech.cli.cls.infer import CLSExecutor -cls = CLSExecutor() -result = cls(audio_file="zh.wav") +>>> from paddlespeech.cli.cls.infer import CLSExecutor +>>> cls = CLSExecutor() +>>> result = cls(audio_file="zh.wav") +>>> print(result) +Speech 0.9027186632156372 ``` -**声纹提取** +
+ +### 声纹提取 -输出声音提取向量 +
 工业级声纹提取工具 + +命令行一键体验 ```shell paddlespeech vector --task spk --input zh.wav ``` +Python API 一键预测 + ```python -from paddlespeech.cli.vector import VectorExecutor -vec = VectorExecutor() -result = vec(audio_file="zh.wav") +>>> from paddlespeech.cli.vector import VectorExecutor +>>> vec = VectorExecutor() +>>> result = vec(audio_file="zh.wav") +>>> print(result) # 187维向量 +[ -0.19083306 9.474295 -14.122263 -2.0916545 0.04848729 + 4.9295826 1.4780062 0.3733844 10.695862 3.2697146 + -4.48199 -0.6617882 -9.170393 -11.1568775 -1.2358263 ...] ``` -**标点恢复** +
+ +### 标点恢复 + +
 一键恢复文本标点，可与ASR模型配合使用 -输出添加标点的文本 +命令行一键体验 ```shell paddlespeech text --task punc --input 今天的天气真不错啊你下午有空吗我想约你一起去吃饭 ``` +Python API 一键预测 + ```python -from paddlespeech.cli.text.infer import TextExecutor -text_punc = TextExecutor() -result = text_punc(text="今天的天气真不错啊你下午有空吗我想约你一起去吃饭") +>>> from paddlespeech.cli.text.infer import TextExecutor +>>> text_punc = TextExecutor() +>>> result = text_punc(text="今天的天气真不错啊你下午有空吗我想约你一起去吃饭") +今天的天气真不错啊！你下午有空吗？我想约你一起去吃饭。 ``` -**语音翻译** +
+ +### 语音翻译 + +
 端到端英译中语音翻译工具 使用预编译的kaldi相关工具，只支持在Ubuntu系统中体验 +命令行一键体验 + ```shell paddlespeech st --input en.wav ``` +python API 一键预测 + ```python -from paddlespeech.cli.st.infer import STExecutor -st = STExecutor() -result = st(audio_file="en.wav") +>>> from paddlespeech.cli.st.infer import STExecutor +>>> st = STExecutor() +>>> result = st(audio_file="en.wav") +['我 在 这栋 建筑 的 古老 门上 敲门 。'] ``` +
+ -更多命令行命令请参考 [demos](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/demos) -> Note: 如果需要训练或者微调，请查看[语音识别](./docs/source/asr/quick_start.md)， [语音合成](./docs/source/tts/quick_start.md)。 ## 快速使用服务 -安装完成后，开发者可以通过命令行快速使用服务。 +安装完成后，开发者可以通过命令行一键启动语音识别，语音合成，音频分类三种服务。 **启动服务** ```shell @@ -587,118 +751,6 @@ PaddleSpeech 的 **语音合成** 主要包含三个模块：文本前端、声 语音合成模块最初被称为 [Parakeet](https://github.com/PaddlePaddle/Parakeet)，现在与此仓库合并。如果您对该任务的学术研究感兴趣，请参阅 [TTS 研究概述](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/docs/source/tts#overview)。此外，[模型介绍](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/tts/models_introduction.md) 是了解语音合成流程的一个很好的指南。 -## 效果展示 - -##### 语音识别 - -
- - - - - - - - - - - - - - - - - -
输入音频 识别结果
- -
- 		I knocked at the door on the ancient side of the building.
- -
- 		我认为跑步最重要的就是给我带来了身体健康。
- -
- -##### 语音翻译 (英译中) - -
- - - - - - - - - - - - - -
输入音频 翻译结果
- -
- 		我 在 这栋 建筑 的 古老 门上 敲门。
- -
- -##### 语音合成 -
- - - - - - - - - - - - - - - - - - - - - -
输入文本合成音频
Life was like a box of chocolates, you never know what you're gonna get. - -
-
早上好，今天是2020/10/29，最低温度是-3°C。 - -
-
季姬寂，集鸡，鸡即棘鸡。棘鸡饥叽，季姬及箕稷济鸡。鸡既济，跻姬笈，季姬忌，急咭鸡，鸡急，继圾几，季姬急，即籍箕击鸡，箕疾击几伎，伎即齑，鸡叽集几基，季姬急极屐击鸡，鸡既殛，季姬激，即记《季姬击鸡记》。 - -
-
- -
- -更多合成音频，可以参考 [PaddleSpeech 语音合成音频示例](https://paddlespeech.readthedocs.io/en/latest/tts/demo.html)。 - -##### 标点恢复 -
- - - - - - - - - - - - - -
输入文本 输出文本
今天的天气真不错啊你下午有空吗我想约你一起去吃饭今天的天气真不错啊！你下午有空吗？我想约你一起去吃饭。
- -
- ## ⭐ 应用案例 - **[PaddleBoBo](https://github.com/JiehangXie/PaddleBoBo): 使用 PaddleSpeech 的语音合成模块生成虚拟人的声音。** From 294b7b00bd419309651859825ecc2d05de951e55 Mon Sep 17 00:00:00 2001 From: 0x45f Date: Mon, 18 Jul 2022 08:36:45 +0000 Subject: [PATCH 127/192] Supprot dy2st for conformer --- paddlespeech/s2t/__init__.py | 21 ++++++++++++++------- paddlespeech/s2t/modules/encoder.py | 4 ++-- 2 files changed, 16 insertions(+), 9 deletions(-) diff --git a/paddlespeech/s2t/__init__.py b/paddlespeech/s2t/__init__.py index 2da68435c..99b8bcbe6 100644 --- a/paddlespeech/s2t/__init__.py +++ b/paddlespeech/s2t/__init__.py @@ -159,9 +159,7 @@ if not hasattr(paddle.Tensor, 'new_full'): def eq(xs: paddle.Tensor, ys: Union[paddle.Tensor, float]) -> paddle.Tensor: if convert_dtype_to_string(xs.dtype) == paddle.bool: xs = xs.astype(paddle.int) - return xs.equal( - paddle.to_tensor( - ys, dtype=convert_dtype_to_string(xs.dtype), place=xs.place)) + return xs.equal(ys) if not hasattr(paddle.Tensor, 'eq'): @@ -219,13 +217,22 @@ def is_broadcastable(shp1, shp2): return True +def broadcast_shape(shp1, shp2): + result = [] + for a, b in zip(shp1[::-1], shp2[::-1]): + result.append(max(a, b)) + return result[::-1] + + def masked_fill(xs: paddle.Tensor, mask: paddle.Tensor, value: Union[float, int]): - assert is_broadcastable(xs.shape, mask.shape) is True, (xs.shape, - mask.shape) - bshape = paddle.broadcast_shape(xs.shape, mask.shape) - mask = mask.broadcast_to(bshape) + bshape = broadcast_shape(xs.shape, mask.shape) + mask.stop_gradient = True + tmp = paddle.ones(shape=[len(bshape)], dtype='int32') + for index in range(len(bshape)): + tmp[index] = bshape[index] + mask = mask.broadcast_to(tmp) trues = paddle.ones_like(xs) * value xs = paddle.where(mask, trues, xs) return xs diff --git a/paddlespeech/s2t/modules/encoder.py b/paddlespeech/s2t/modules/encoder.py index 72300579f..ad73f5e99 100644 --- a/paddlespeech/s2t/modules/encoder.py +++ b/paddlespeech/s2t/modules/encoder.py @@ -253,8 +253,8 @@ class BaseEncoder(nn.Layer): # cnn_cache[i] = (B=1, hidden-dim, cache_t2) xs, _, new_att_cache, new_cnn_cache = layer( xs, att_mask, pos_emb, - att_cache=att_cache[i:i+1] if elayers > 0 else att_cache, - cnn_cache=cnn_cache[i] if paddle.shape(cnn_cache)[0] > 0 else cnn_cache, + att_cache=att_cache if elayers == 0 else att_cache[i:i+1], + cnn_cache=cnn_cache if paddle.shape(cnn_cache)[0] == 0 else cnn_cache[i], ) # new_att_cache = (1, head, attention_key_size, d_k*2) # new_cnn_cache = (B=1, hidden-dim, cache_t2) From 4c92af5717dc16bbd509c700aea9a03a082a0be5 Mon Sep 17 00:00:00 2001 From: lidongdong Date: Mon, 18 Jul 2022 19:47:12 +0800 Subject: [PATCH 128/192] feat:add windows ctc-decoders compile func --- third_party/ctc_decoders/scorer.cpp | 3 ++- third_party/ctc_decoders/setup.py | 15 ++++++++------- third_party/install.bat | 24 ++++++++++++++++++++++++ 3 files changed, 34 insertions(+), 8 deletions(-) create mode 100644 third_party/install.bat diff --git a/third_party/ctc_decoders/scorer.cpp b/third_party/ctc_decoders/scorer.cpp index 6c1d96be3..6e7f68cf6 100644 --- a/third_party/ctc_decoders/scorer.cpp +++ b/third_party/ctc_decoders/scorer.cpp @@ -13,7 +13,8 @@ #include "decoder_utils.h" using namespace lm::ngram; - +// if your platform is windows ,you need add the define +#define F_OK 0 Scorer::Scorer(double alpha, double beta, const std::string& lm_path, diff --git a/third_party/ctc_decoders/setup.py b/third_party/ctc_decoders/setup.py index ce2787e3f..ee81c8fd2 100644 --- a/third_party/ctc_decoders/setup.py +++ b/third_party/ctc_decoders/setup.py @@ -89,10 +89,11 @@ FILES = [ or fn.endswith('unittest.cc')) ] # yapf: enable - -LIBS = ['stdc++'] +# LIBS = ['stdc++'] +LIBS = ['-static-libstdc++'] if platform.system() != 'Darwin': - LIBS.append('rt') + # LIBS.append('rt') + pass ARGS = ['-O3', '-DNDEBUG', '-DKENLM_MAX_ORDER=6', '-std=c++11'] @@ -126,12 +127,12 @@ decoders_module = [ ] setup( - name='paddlespeech_ctcdecoders', + name='paddlespeech_ldd_ctcdecoders', version='0.2.0', description="CTC decoders in paddlespeech", - author="PaddlePaddle Speech and Language Team", - author_email="paddlesl@baidu.com", + author="PaddlePaddle Speech user lidongdong compile for windows", + author_email="double_dongli@foxmail.com", url="https://github.com/PaddlePaddle/PaddleSpeech", license='Apache 2.0, GNU Lesser General Public License v3 (LGPLv3) (LGPL-3)', ext_modules=decoders_module, - py_modules=['paddlespeech_ctcdecoders']) + py_modules=['paddlespeech_ldd_ctcdecoders']) diff --git a/third_party/install.bat b/third_party/install.bat new file mode 100644 index 000000000..8669e4447 --- /dev/null +++ b/third_party/install.bat @@ -0,0 +1,24 @@ +@echo off + +cd ctc_decoders +if not exist kenlm ( + git clone https://github.com/Doubledongli/kenlm.git + cd kenlm/ + git checkout df2d717e95183f79a90b2fa6e4307083a351ca6a + cd .. + @echo. +) + +if not exist openfst-1.6.3 ( + echo "Download and extract openfst ..." + git clone https://gitee.com/koala999/openfst.git + ren openfst openfst-1.6.3 + @echo. +) + +if not exist ThreadPool ( + git clone https://github.com/progschj/ThreadPool.git + @echo. +) +echo "Install decoders ..." +python setup.py install --num_processes 4 \ No newline at end of file From 06a44f7460df77a4c4a2831f723d56df6722c5be Mon Sep 17 00:00:00 2001 From: lidongdong Date: Mon, 18 Jul 2022 20:05:08 +0800 Subject: [PATCH 129/192] fix:change bat --- third_party/install.bat | 3 --- 1 file changed, 3 deletions(-) diff --git a/third_party/install.bat b/third_party/install.bat index 8669e4447..0bf1e7bb1 100644 --- a/third_party/install.bat +++ b/third_party/install.bat @@ -3,9 +3,6 @@ cd ctc_decoders if not exist kenlm ( git clone https://github.com/Doubledongli/kenlm.git - cd kenlm/ - git checkout df2d717e95183f79a90b2fa6e4307083a351ca6a - cd .. @echo. ) From d21c1f2b104e337bc10c7973ad60d9934faa1ad0 Mon Sep 17 00:00:00 2001 From: lidongdong Date: Mon, 18 Jul 2022 20:09:42 +0800 Subject: [PATCH 130/192] fix:change setup --- third_party/ctc_decoders/setup.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/third_party/ctc_decoders/setup.py b/third_party/ctc_decoders/setup.py index ee81c8fd2..f1eb42467 100644 --- a/third_party/ctc_decoders/setup.py +++ b/third_party/ctc_decoders/setup.py @@ -89,11 +89,11 @@ FILES = [ or fn.endswith('unittest.cc')) ] # yapf: enable -# LIBS = ['stdc++'] -LIBS = ['-static-libstdc++'] +LIBS = ['stdc++'] if platform.system() != 'Darwin': - # LIBS.append('rt') - pass + LIBS.append('rt') +if platform.system() != 'Windows': + LIBS = ['-static-libstdc++'] ARGS = ['-O3', '-DNDEBUG', '-DKENLM_MAX_ORDER=6', '-std=c++11'] @@ -127,12 +127,12 @@ decoders_module = [ ] setup( - name='paddlespeech_ldd_ctcdecoders', + name='paddlespeech_ctcdecoders', version='0.2.0', description="CTC decoders in paddlespeech", - author="PaddlePaddle Speech user lidongdong compile for windows", - author_email="double_dongli@foxmail.com", + author="PaddlePaddle Speech and Language Team", + author_email="paddlesl@baidu.com", url="https://github.com/PaddlePaddle/PaddleSpeech", license='Apache 2.0, GNU Lesser General Public License v3 (LGPLv3) (LGPL-3)', ext_modules=decoders_module, - py_modules=['paddlespeech_ldd_ctcdecoders']) + py_modules=['paddlespeech_ctcdecoders']) From c7294fae362bbcf3305e76411e261c60d9942bd4 Mon Sep 17 00:00:00 2001 From: lidongdong Date: Mon, 18 Jul 2022 20:10:22 +0800 Subject: [PATCH 131/192] fix:change setup --- third_party/ctc_decoders/setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/third_party/ctc_decoders/setup.py b/third_party/ctc_decoders/setup.py index f1eb42467..9a8b292a0 100644 --- a/third_party/ctc_decoders/setup.py +++ b/third_party/ctc_decoders/setup.py @@ -92,7 +92,7 @@ FILES = [ LIBS = ['stdc++'] if platform.system() != 'Darwin': LIBS.append('rt') -if platform.system() != 'Windows': +if platform.system() == 'Windows': LIBS = ['-static-libstdc++'] ARGS = ['-O3', '-DNDEBUG', '-DKENLM_MAX_ORDER=6', '-std=c++11'] From e6ac8881f16969fefd5b151074b2e7f710ef1545 Mon Sep 17 00:00:00 2001 From: 0x45f Date: Tue, 19 Jul 2022 03:43:50 +0000 Subject: [PATCH 132/192] Fix comments --- paddlespeech/s2t/models/u2/u2.py | 6 ++++-- paddlespeech/s2t/modules/encoder.py | 6 +++--- paddlespeech/s2t/modules/encoder_layer.py | 1 + 3 files changed, 8 insertions(+), 5 deletions(-) diff --git a/paddlespeech/s2t/models/u2/u2.py b/paddlespeech/s2t/models/u2/u2.py index c77501848..76f698e64 100644 --- a/paddlespeech/s2t/models/u2/u2.py +++ b/paddlespeech/s2t/models/u2/u2.py @@ -625,10 +625,12 @@ class U2BaseModel(ASRInterface, nn.Layer): (elayers, head, cache_t1, d_k * 2), where `head * d_k == hidden-dim` and `cache_t1 == chunk_size * num_decoding_left_chunks`. - `d_k * 2` for att key & value. + `d_k * 2` for att key & value. Default is 0-dims Tensor, + it is used for dy2st. cnn_cache (paddle.Tensor): cache tensor for cnn_module in conformer, (elayers, b=1, hidden-dim, cache_t2), where - `cache_t2 == cnn.lorder - 1` + `cache_t2 == cnn.lorder - 1`. Default is 0-dims Tensor, + it is used for dy2st. Returns: paddle.Tensor: output of current input xs, diff --git a/paddlespeech/s2t/modules/encoder.py b/paddlespeech/s2t/modules/encoder.py index ad73f5e99..bff2d69bb 100644 --- a/paddlespeech/s2t/modules/encoder.py +++ b/paddlespeech/s2t/modules/encoder.py @@ -250,11 +250,11 @@ class BaseEncoder(nn.Layer): r_cnn_cache = [] for i, layer in enumerate(self.encoders): # att_cache[i:i+1] = (1, head, cache_t1, d_k*2) - # cnn_cache[i] = (B=1, hidden-dim, cache_t2) + # cnn_cache[i:i+1] = (1, B=1, hidden-dim, cache_t2) xs, _, new_att_cache, new_cnn_cache = layer( xs, att_mask, pos_emb, - att_cache=att_cache if elayers == 0 else att_cache[i:i+1], - cnn_cache=cnn_cache if paddle.shape(cnn_cache)[0] == 0 else cnn_cache[i], + att_cache=att_cache[i:i+1] if elayers > 0 else att_cache, + cnn_cache=cnn_cache[i:i+1] if paddle.shape(cnn_cache)[0] > 0 else cnn_cache, ) # new_att_cache = (1, head, attention_key_size, d_k*2) # new_cnn_cache = (B=1, hidden-dim, cache_t2) diff --git a/paddlespeech/s2t/modules/encoder_layer.py b/paddlespeech/s2t/modules/encoder_layer.py index d91e3f6ef..9e46cc540 100644 --- a/paddlespeech/s2t/modules/encoder_layer.py +++ b/paddlespeech/s2t/modules/encoder_layer.py @@ -250,6 +250,7 @@ class ConformerEncoderLayer(nn.Layer): # convolution module # Fake new cnn cache here, and then change it in conv_module new_cnn_cache = paddle.zeros([0,0,0], dtype=x.dtype) + cnn_cache = paddle.squeeze(cnn_cache, axis=0) if self.conv_module is not None: residual = x if self.normalize_before: From e21cceea5105eb5a5c9afd240329d2c8bce85af8 Mon Sep 17 00:00:00 2001 From: 0x45f Date: Tue, 19 Jul 2022 03:46:05 +0000 Subject: [PATCH 133/192] Remove blank line --- paddlespeech/s2t/__init__.py | 1 - 1 file changed, 1 deletion(-) diff --git a/paddlespeech/s2t/__init__.py b/paddlespeech/s2t/__init__.py index 5fe2e16b9..f6476b9aa 100644 --- a/paddlespeech/s2t/__init__.py +++ b/paddlespeech/s2t/__init__.py @@ -114,7 +114,6 @@ if not hasattr(paddle.Tensor, 'new_full'): paddle.Tensor.new_full = new_full paddle.static.Variable.new_full = new_full - def contiguous(xs: paddle.Tensor) -> paddle.Tensor: return xs From 0b9ac9ba73e2b371299c2b08d3761698737008b4 Mon Sep 17 00:00:00 2001 From: Doubledongli Date: Tue, 19 Jul 2022 12:31:50 +0800 Subject: [PATCH 134/192] fix:change bat script and readme --- third_party/README.md | 34 +++++++++++++-------------------- third_party/install_win_ctc.bat | 21 ++++++++++++++++++++ 2 files changed, 34 insertions(+), 21 deletions(-) create mode 100644 third_party/install_win_ctc.bat diff --git a/third_party/README.md b/third_party/README.md index 843d0d3b2..d2c8c415f 100644 --- a/third_party/README.md +++ b/third_party/README.md @@ -1,27 +1,19 @@ -* [python_kaldi_features](https://github.com/ZitengWang/python_kaldi_features) -commit: fc1bd6240c2008412ab64dc25045cd872f5e126c -ref: https://zhuanlan.zhihu.com/p/55371926 -license: MIT +# install ctc_decoder for windows -* [python-pinyin](https://github.com/mozillazg/python-pinyin.git) -commit: 55e524aa1b7b8eec3d15c5306043c6cdd5938b03 -license: MIT +This is bat script to install paddlespeech_ctc_decoders for windows -* [zhon](https://github.com/tsroten/zhon) -commit: 09bf543696277f71de502506984661a60d24494c -license: MIT +## Prepare your environment -* [pymmseg-cpp](https://github.com/pluskid/pymmseg-cpp.git) -commit: b76465045717fbb4f118c4fbdd24ce93bab10a6d -license: MIT +insure your environment like this: -* [chinese_text_normalization](https://github.com/speechio/chinese_text_normalization.git) -commit: 9e92c7bf2d6b5a7974305406d8e240045beac51c -license: MIT +* gcc: version >= 12.1.0 +* cmake: version >= 3.24.0 +* make: version >= 3.82.90 +* visual studio: version >= 2019 -* [phkit](https://github.com/KuangDD/phkit.git) -commit: b2100293c1e36da531d7f30bd52c9b955a649522 -license: None +## Start your bat script -* [nnAudio](https://github.com/KinWaiCheuk/nnAudio.git) -license: MIT +```shell +start install_win_ctc.bat + +``` diff --git a/third_party/install_win_ctc.bat b/third_party/install_win_ctc.bat new file mode 100644 index 000000000..0bf1e7bb1 --- /dev/null +++ b/third_party/install_win_ctc.bat @@ -0,0 +1,21 @@ +@echo off + +cd ctc_decoders +if not exist kenlm ( + git clone https://github.com/Doubledongli/kenlm.git + @echo. +) + +if not exist openfst-1.6.3 ( + echo "Download and extract openfst ..." + git clone https://gitee.com/koala999/openfst.git + ren openfst openfst-1.6.3 + @echo. +) + +if not exist ThreadPool ( + git clone https://github.com/progschj/ThreadPool.git + @echo. +) +echo "Install decoders ..." +python setup.py install --num_processes 4 \ No newline at end of file From 25fc89edf677bd44ef1350ca040878d3f156fca9 Mon Sep 17 00:00:00 2001 From: Doubledongli Date: Tue, 19 Jul 2022 12:34:33 +0800 Subject: [PATCH 135/192] delete old bat --- third_party/install.bat | 21 --------------------- 1 file changed, 21 deletions(-) delete mode 100644 third_party/install.bat diff --git a/third_party/install.bat b/third_party/install.bat deleted file mode 100644 index 0bf1e7bb1..000000000 --- a/third_party/install.bat +++ /dev/null @@ -1,21 +0,0 @@ -@echo off - -cd ctc_decoders -if not exist kenlm ( - git clone https://github.com/Doubledongli/kenlm.git - @echo. -) - -if not exist openfst-1.6.3 ( - echo "Download and extract openfst ..." - git clone https://gitee.com/koala999/openfst.git - ren openfst openfst-1.6.3 - @echo. -) - -if not exist ThreadPool ( - git clone https://github.com/progschj/ThreadPool.git - @echo. -) -echo "Install decoders ..." -python setup.py install --num_processes 4 \ No newline at end of file From 7b284fd9a992705d18759fa130627918a308605f Mon Sep 17 00:00:00 2001 From: TianYuan Date: Tue, 19 Jul 2022 13:16:11 +0800 Subject: [PATCH 136/192] Update README.md --- third_party/README.md | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/third_party/README.md b/third_party/README.md index d2c8c415f..1f3c45ec1 100644 --- a/third_party/README.md +++ b/third_party/README.md @@ -1,6 +1,13 @@ +# python_kaldi_features + +[python_kaldi_features](https://github.com/ZitengWang/python_kaldi_features) +commit: fc1bd6240c2008412ab64dc25045cd872f5e126c +ref: https://zhuanlan.zhihu.com/p/55371926 +license: MIT + # install ctc_decoder for windows -This is bat script to install paddlespeech_ctc_decoders for windows +`install_win_ctc.bat` is bat script to install paddlespeech_ctc_decoders for windows ## Prepare your environment From 4bf07009d869a6c14cafbb553c28292384d395ae Mon Sep 17 00:00:00 2001 From: TianYuan Date: Tue, 19 Jul 2022 13:17:10 +0800 Subject: [PATCH 137/192] Update README.md --- third_party/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/third_party/README.md b/third_party/README.md index 1f3c45ec1..98e03b0a3 100644 --- a/third_party/README.md +++ b/third_party/README.md @@ -5,7 +5,7 @@ commit: fc1bd6240c2008412ab64dc25045cd872f5e126c ref: https://zhuanlan.zhihu.com/p/55371926 license: MIT -# install ctc_decoder for windows +# Install ctc_decoder for Windows `install_win_ctc.bat` is bat script to install paddlespeech_ctc_decoders for windows From ef37f73a01512674a7bb3c350dd364efd15ed4e6 Mon Sep 17 00:00:00 2001 From: Hui Zhang Date: Tue, 19 Jul 2022 09:52:30 +0000 Subject: [PATCH 138/192] fix cnn cache dy2st shape --- paddlespeech/s2t/models/u2/u2.py | 22 ++++++++---------- paddlespeech/s2t/modules/encoder_layer.py | 28 +++++++++++------------ 2 files changed, 24 insertions(+), 26 deletions(-) diff --git a/paddlespeech/s2t/models/u2/u2.py b/paddlespeech/s2t/models/u2/u2.py index 76f698e64..e19f411cf 100644 --- a/paddlespeech/s2t/models/u2/u2.py +++ b/paddlespeech/s2t/models/u2/u2.py @@ -29,6 +29,9 @@ import paddle from paddle import jit from paddle import nn +from paddlespeech.audio.utils.tensor_utils import add_sos_eos +from paddlespeech.audio.utils.tensor_utils import pad_sequence +from paddlespeech.audio.utils.tensor_utils import th_accuracy from paddlespeech.s2t.decoders.scorers.ctc import CTCPrefixScorer from paddlespeech.s2t.frontend.utility import IGNORE_ID from paddlespeech.s2t.frontend.utility import load_cmvn @@ -48,9 +51,6 @@ from paddlespeech.s2t.utils import checkpoint from paddlespeech.s2t.utils import layer_tools from paddlespeech.s2t.utils.ctc_utils import remove_duplicates_and_blank from paddlespeech.s2t.utils.log import Log -from paddlespeech.audio.utils.tensor_utils import add_sos_eos -from paddlespeech.audio.utils.tensor_utils import pad_sequence -from paddlespeech.audio.utils.tensor_utils import th_accuracy from paddlespeech.s2t.utils.utility import log_add from paddlespeech.s2t.utils.utility import UpdateConfig @@ -605,8 +605,8 @@ class U2BaseModel(ASRInterface, nn.Layer): xs: paddle.Tensor, offset: int, required_cache_size: int, - att_cache: paddle.Tensor = paddle.zeros([0, 0, 0, 0]), - cnn_cache: paddle.Tensor = paddle.zeros([0, 0, 0, 0]), + att_cache: paddle.Tensor=paddle.zeros([0, 0, 0, 0]), + cnn_cache: paddle.Tensor=paddle.zeros([0, 0, 0, 0]), ) -> Tuple[paddle.Tensor, paddle.Tensor, paddle.Tensor]: """ Export interface for c++ call, give input chunk xs, and return output from time 0 to current chunk. @@ -625,13 +625,11 @@ class U2BaseModel(ASRInterface, nn.Layer): (elayers, head, cache_t1, d_k * 2), where `head * d_k == hidden-dim` and `cache_t1 == chunk_size * num_decoding_left_chunks`. - `d_k * 2` for att key & value. Default is 0-dims Tensor, - it is used for dy2st. + `d_k * 2` for att key & value. cnn_cache (paddle.Tensor): cache tensor for cnn_module in conformer, (elayers, b=1, hidden-dim, cache_t2), where - `cache_t2 == cnn.lorder - 1`. Default is 0-dims Tensor, - it is used for dy2st. - + `cache_t2 == cnn.lorder - 1`. + Returns: paddle.Tensor: output of current input xs, with shape (b=1, chunk_size, hidden-dim). @@ -641,8 +639,8 @@ class U2BaseModel(ASRInterface, nn.Layer): paddle.Tensor: new conformer cnn cache required for next chunk, with same shape as the original cnn_cache. """ - return self.encoder.forward_chunk( - xs, offset, required_cache_size, att_cache, cnn_cache) + return self.encoder.forward_chunk(xs, offset, required_cache_size, + att_cache, cnn_cache) # @jit.to_static def ctc_activation(self, xs: paddle.Tensor) -> paddle.Tensor: diff --git a/paddlespeech/s2t/modules/encoder_layer.py b/paddlespeech/s2t/modules/encoder_layer.py index 9e46cc540..5f810dfde 100644 --- a/paddlespeech/s2t/modules/encoder_layer.py +++ b/paddlespeech/s2t/modules/encoder_layer.py @@ -76,9 +76,9 @@ class TransformerEncoderLayer(nn.Layer): x: paddle.Tensor, mask: paddle.Tensor, pos_emb: paddle.Tensor, - mask_pad: paddle.Tensor= paddle.ones([0,0,0], dtype=paddle.bool), - att_cache: paddle.Tensor=paddle.zeros([0,0,0,0]), - cnn_cache: paddle.Tensor=paddle.zeros([0,0,0,0]), + mask_pad: paddle.Tensor=paddle.ones([0, 0, 0], dtype=paddle.bool), + att_cache: paddle.Tensor=paddle.zeros([0, 0, 0, 0]), + cnn_cache: paddle.Tensor=paddle.zeros([0, 0, 0, 0]), ) -> Tuple[paddle.Tensor, paddle.Tensor, paddle.Tensor, paddle.Tensor]: """Compute encoded features. Args: @@ -105,9 +105,7 @@ class TransformerEncoderLayer(nn.Layer): if self.normalize_before: x = self.norm1(x) - x_att, new_att_cache = self.self_attn( - x, x, x, mask, cache=att_cache - ) + x_att, new_att_cache = self.self_attn(x, x, x, mask, cache=att_cache) if self.concat_after: x_concat = paddle.concat((x, x_att), axis=-1) @@ -124,7 +122,7 @@ class TransformerEncoderLayer(nn.Layer): if not self.normalize_before: x = self.norm2(x) - fake_cnn_cache = paddle.zeros([0,0,0], dtype=x.dtype) + fake_cnn_cache = paddle.zeros([0, 0, 0], dtype=x.dtype) return x, mask, new_att_cache, fake_cnn_cache @@ -195,9 +193,9 @@ class ConformerEncoderLayer(nn.Layer): x: paddle.Tensor, mask: paddle.Tensor, pos_emb: paddle.Tensor, - mask_pad: paddle.Tensor= paddle.ones([0,0,0], dtype=paddle.bool), - att_cache: paddle.Tensor=paddle.zeros([0,0,0,0]), - cnn_cache: paddle.Tensor=paddle.zeros([0,0,0,0]), + mask_pad: paddle.Tensor=paddle.ones([0, 0, 0], dtype=paddle.bool), + att_cache: paddle.Tensor=paddle.zeros([0, 0, 0, 0]), + cnn_cache: paddle.Tensor=paddle.zeros([0, 0, 0, 0]), ) -> Tuple[paddle.Tensor, paddle.Tensor, paddle.Tensor, paddle.Tensor]: """Compute encoded features. Args: @@ -211,7 +209,8 @@ class ConformerEncoderLayer(nn.Layer): att_cache (paddle.Tensor): Cache tensor of the KEY & VALUE (#batch=1, head, cache_t1, d_k * 2), head * d_k == size. cnn_cache (paddle.Tensor): Convolution cache in conformer layer - (#batch=1, size, cache_t2) + (1, #batch=1, size, cache_t2). First dim will not be used, just + for dy2st. Returns: paddle.Tensor: Output tensor (#batch, time, size). paddle.Tensor: Mask tensor (#batch, time, time). @@ -219,6 +218,8 @@ class ConformerEncoderLayer(nn.Layer): (#batch=1, head, cache_t1 + time, d_k * 2). paddle.Tensor: cnn_cahce tensor (#batch, size, cache_t2). """ + # (1, #batch=1, size, cache_t2) -> (#batch=1, size, cache_t2) + cnn_cache = paddle.squeeze(cnn_cache, axis=0) # whether to use macaron style FFN if self.feed_forward_macaron is not None: @@ -249,8 +250,7 @@ class ConformerEncoderLayer(nn.Layer): # convolution module # Fake new cnn cache here, and then change it in conv_module - new_cnn_cache = paddle.zeros([0,0,0], dtype=x.dtype) - cnn_cache = paddle.squeeze(cnn_cache, axis=0) + new_cnn_cache = paddle.zeros([0, 0, 0], dtype=x.dtype) if self.conv_module is not None: residual = x if self.normalize_before: @@ -275,4 +275,4 @@ class ConformerEncoderLayer(nn.Layer): if self.conv_module is not None: x = self.norm_final(x) - return x, mask, new_att_cache, new_cnn_cache \ No newline at end of file + return x, mask, new_att_cache, new_cnn_cache From 122fbccdd09b9a9019a581d7e22b713f54a742ea Mon Sep 17 00:00:00 2001 From: TianYuan Date: Tue, 19 Jul 2022 11:02:08 +0000 Subject: [PATCH 139/192] update requirements.txt, test=doc --- docs/requirements.txt | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/docs/requirements.txt b/docs/requirements.txt index 08a049c1b..bf1486c5e 100644 --- a/docs/requirements.txt +++ b/docs/requirements.txt @@ -48,4 +48,5 @@ fastapi websockets keyboard uvicorn -pattern_singleton \ No newline at end of file +pattern_singleton +braceexpand \ No newline at end of file From cf1b8735288c966a062a6b68a9a19392aa76177d Mon Sep 17 00:00:00 2001 From: Betterman-qs Date: Wed, 20 Jul 2022 09:32:28 +0800 Subject: [PATCH 140/192] update engine_warmup.py, test=tts --- paddlespeech/server/engine/engine_warmup.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/paddlespeech/server/engine/engine_warmup.py b/paddlespeech/server/engine/engine_warmup.py index 12c760c6f..b7a05cd9e 100644 --- a/paddlespeech/server/engine/engine_warmup.py +++ b/paddlespeech/server/engine/engine_warmup.py @@ -60,7 +60,10 @@ def warm_up(engine_and_type: str, warm_up_time: int=3) -> bool: else: st = time.time() - connection_handler.infer(text=sentence) + connection_handler.infer( + text=sentence, + lang=tts_engine.lang, + am=tts_engine.config.am) et = time.time() logger.debug( f"The response time of the {i} warm up: {et - st} s") From e2dc204d4d971c3acf92f85e720de9e0a1e4b219 Mon Sep 17 00:00:00 2001 From: Betterman-qs Date: Wed, 20 Jul 2022 09:52:37 +0800 Subject: [PATCH 141/192] update engine_warmup.py, test=tts --- paddlespeech/server/engine/engine_warmup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paddlespeech/server/engine/engine_warmup.py b/paddlespeech/server/engine/engine_warmup.py index b7a05cd9e..3751554c2 100644 --- a/paddlespeech/server/engine/engine_warmup.py +++ b/paddlespeech/server/engine/engine_warmup.py @@ -61,7 +61,7 @@ def warm_up(engine_and_type: str, warm_up_time: int=3) -> bool: else: st = time.time() connection_handler.infer( - text=sentence, + text=sentence, lang=tts_engine.lang, am=tts_engine.config.am) et = time.time() From 4f2b91536a8f83306e8244510e7bf9a1e45f284b Mon Sep 17 00:00:00 2001 From: BrightXiaoHan Date: Wed, 20 Jul 2022 15:04:11 +0800 Subject: [PATCH 142/192] fix: dockerfile cpu --- docker/ubuntu18-cpu/Dockerfile | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/docker/ubuntu18-cpu/Dockerfile b/docker/ubuntu18-cpu/Dockerfile index d14c01858..35f45f2e4 100644 --- a/docker/ubuntu18-cpu/Dockerfile +++ b/docker/ubuntu18-cpu/Dockerfile @@ -1,15 +1,17 @@ FROM registry.baidubce.com/paddlepaddle/paddle:2.2.2 LABEL maintainer="paddlesl@baidu.com" +RUN apt-get update \ + && apt-get install libsndfile-dev \ + && apt-get clean \ + && rm -rf /var/lib/apt/lists/* + RUN git clone --depth 1 https://github.com/PaddlePaddle/PaddleSpeech.git /home/PaddleSpeech RUN pip3 uninstall mccabe -y ; exit 0; RUN pip3 install multiprocess==0.70.12 importlib-metadata==4.2.0 dill==0.3.4 -RUN cd /home/PaddleSpeech/audio -RUN python setup.py bdist_wheel - -RUN cd /home/PaddleSpeech +WORKDIR /home/PaddleSpeech/ RUN python setup.py bdist_wheel -RUN pip install audio/dist/*.whl dist/*.whl +RUN pip install dist/*.whl -i https://pypi.tuna.tsinghua.edu.cn/simple -WORKDIR /home/PaddleSpeech/ +CMD ['bash'] From e1f8695456bc05ad64f603076470ea44311de82f Mon Sep 17 00:00:00 2001 From: lym0302 Date: Wed, 20 Jul 2022 10:20:04 +0000 Subject: [PATCH 143/192] add mix tts, test=tts --- examples/zh_en_tts/tts3/README.md | 26 ++++++++++++++++ .../zh_en_tts/tts3/local/synthesize_e2e.sh | 31 +++++++++++++++++++ examples/zh_en_tts/tts3/path.sh | 13 ++++++++ examples/zh_en_tts/tts3/test.sh | 23 ++++++++++++++ paddlespeech/t2s/exps/sentences_mix.txt | 8 +++++ 5 files changed, 101 insertions(+) create mode 100644 examples/zh_en_tts/tts3/README.md create mode 100755 examples/zh_en_tts/tts3/local/synthesize_e2e.sh create mode 100755 examples/zh_en_tts/tts3/path.sh create mode 100755 examples/zh_en_tts/tts3/test.sh create mode 100644 paddlespeech/t2s/exps/sentences_mix.txt diff --git a/examples/zh_en_tts/tts3/README.md b/examples/zh_en_tts/tts3/README.md new file mode 100644 index 000000000..6d38181cc --- /dev/null +++ b/examples/zh_en_tts/tts3/README.md @@ -0,0 +1,26 @@ +# Test +We train a Chinese-English mixed fastspeech2 model. The training code is still being sorted out, let's show how to use it first. +The sample rate of the synthesized audio is 22050 Hz. + +## Download pretrained models +Put pretrained models in a directory named `models`. + +- [fastspeech2_csmscljspeech_add-zhen.zip](https://paddlespeech.bj.bcebos.com/t2s/chinse_english_mixed/models/fastspeech2_csmscljspeech_add-zhen.zip) +- [hifigan_ljspeech_ckpt_0.2.0.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/hifigan/hifigan_ljspeech_ckpt_0.2.0.zip) + +```bash +mkdir models +cd models +wget https://paddlespeech.bj.bcebos.com/t2s/chinse_english_mixed/models/fastspeech2_csmscljspeech_add-zhen.zip +unzip fastspeech2_csmscljspeech_add-zhen.zip +wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/hifigan/hifigan_ljspeech_ckpt_0.2.0.zip +unzip hifigan_ljspeech_ckpt_0.2.0.zip +cd ../ +``` + +## test +You can choose `--spk_id` {0, 1} in `local/synthesize_e2e.sh`. + +```bash +bash test.sh +``` diff --git a/examples/zh_en_tts/tts3/local/synthesize_e2e.sh b/examples/zh_en_tts/tts3/local/synthesize_e2e.sh new file mode 100755 index 000000000..a206c3a84 --- /dev/null +++ b/examples/zh_en_tts/tts3/local/synthesize_e2e.sh @@ -0,0 +1,31 @@ +#!/bin/bash + +model_dir=$1 +output=$2 +am_name=fastspeech2_csmscljspeech_add-zhen +am_model_dir=${model_dir}/${am_name}/ + +stage=1 +stop_stage=1 + + +# hifigan +if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then + FLAGS_allocator_strategy=naive_best_fit \ + FLAGS_fraction_of_gpu_memory_to_use=0.01 \ + python3 ${BIN_DIR}/../synthesize_e2e.py \ + --am=fastspeech2_mix \ + --am_config=${am_model_dir}/default.yaml \ + --am_ckpt=${am_model_dir}/snapshot_iter_94000.pdz \ + --am_stat=${am_model_dir}/speech_stats.npy \ + --voc=hifigan_ljspeech \ + --voc_config=${model_dir}/hifigan_ljspeech_ckpt_0.2.0/default.yaml \ + --voc_ckpt=${model_dir}/hifigan_ljspeech_ckpt_0.2.0/snapshot_iter_2500000.pdz \ + --voc_stat=${model_dir}/hifigan_ljspeech_ckpt_0.2.0/feats_stats.npy \ + --lang=mix \ + --text=${BIN_DIR}/../sentences_mix.txt \ + --output_dir=${output}/test_e2e \ + --phones_dict=${am_model_dir}/phone_id_map.txt \ + --speaker_dict=${am_model_dir}/speaker_id_map.txt \ + --spk_id 0 +fi diff --git a/examples/zh_en_tts/tts3/path.sh b/examples/zh_en_tts/tts3/path.sh new file mode 100755 index 000000000..fb7e8411c --- /dev/null +++ b/examples/zh_en_tts/tts3/path.sh @@ -0,0 +1,13 @@ +#!/bin/bash +export MAIN_ROOT=`realpath ${PWD}/../../../` + +export PATH=${MAIN_ROOT}:${MAIN_ROOT}/utils:${PATH} +export LC_ALL=C + +export PYTHONDONTWRITEBYTECODE=1 +# Use UTF-8 in Python to avoid UnicodeDecodeError when LC_ALL=C +export PYTHONIOENCODING=UTF-8 +export PYTHONPATH=${MAIN_ROOT}:${PYTHONPATH} + +MODEL=fastspeech2 +export BIN_DIR=${MAIN_ROOT}/paddlespeech/t2s/exps/${MODEL} diff --git a/examples/zh_en_tts/tts3/test.sh b/examples/zh_en_tts/tts3/test.sh new file mode 100755 index 000000000..ff34da14a --- /dev/null +++ b/examples/zh_en_tts/tts3/test.sh @@ -0,0 +1,23 @@ +#!/bin/bash + +set -e +source path.sh + +gpus=0,1 +stage=3 +stop_stage=100 + +model_dir=models +output_dir=output + +# with the following command, you can choose the stage range you want to run +# such as `./run.sh --stage 0 --stop-stage 0` +# this can not be mixed use with `$1`, `$2` ... +source ${MAIN_ROOT}/utils/parse_options.sh || exit 1 + + +if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then + # synthesize_e2e, vocoder is hifigan by default + CUDA_VISIBLE_DEVICES=${gpus} ./local/synthesize_e2e.sh ${model_dir} ${output_dir} || exit -1 +fi + diff --git a/paddlespeech/t2s/exps/sentences_mix.txt b/paddlespeech/t2s/exps/sentences_mix.txt new file mode 100644 index 000000000..06e97d14a --- /dev/null +++ b/paddlespeech/t2s/exps/sentences_mix.txt @@ -0,0 +1,8 @@ +001 你好，欢迎使用 Paddle Speech 中英文混合 T T S 功能，开始你的合成之旅吧! +002 我们的声学模型使用了 Fast Speech Two, 声码器使用了 Parallel Wave GAN and Hifi GAN. +003 Paddle N L P 发布 ERNIE Tiny 全系列中文预训练小模型，快速提升预训练模型部署效率，通用信息抽取技术 U I E Tiny 系列模型全新升级，支持速度更快效果更好的 U I E 小模型。 +004 Paddle Speech 发布 P P A S R 流式语音识别系统、P P T T S 流式语音合成系统、P P V P R 全链路声纹识别系统。 +005 Paddle Bo Bo: 使用 Paddle Speech 的语音合成模块生成虚拟人的声音。 +006 热烈欢迎您在 Discussions 中提交问题，并在 Issues 中指出发现的 bug。此外，我们非常希望您参与到 Paddle Speech 的开发中！ +007 我喜欢 eat apple, 你喜欢 drink milk。 +008 我们要去云南 team building, 非常非常 happy. \ No newline at end of file From bc6d10ba4d6686511a0f2d814ca94049732dd4d4 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Tue, 26 Jul 2022 09:53:30 +0000 Subject: [PATCH 144/192] update readme, test=doc --- demos/speech_server/README.md | 15 +++------ demos/speech_server/README_cn.md | 24 ++++++-------- demos/speech_web/{接口文档.md => API.md} | 34 +++++++++----------- demos/speech_web/{README_cn.md => README.md} | 27 +++++++--------- demos/streaming_asr_server/README.md | 5 ++- demos/streaming_asr_server/README_cn.md | 10 +++--- demos/streaming_tts_server/README.md | 7 ++-- demos/streaming_tts_server/README_cn.md | 32 +++++++----------- 8 files changed, 69 insertions(+), 85 deletions(-) rename demos/speech_web/{接口文档.md => API.md} (82%) rename demos/speech_web/{README_cn.md => README.md} (63%) diff --git a/demos/speech_server/README.md b/demos/speech_server/README.md index 14a88f078..dbbf97654 100644 --- a/demos/speech_server/README.md +++ b/demos/speech_server/README.md @@ -5,12 +5,15 @@ ## Introduction This demo is an implementation of starting the voice service and accessing the service. It can be achieved with a single command using `paddlespeech_server` and `paddlespeech_client` or a few lines of code in python. +For service interface definition, please check: +- [PaddleSpeech Server RESTful API](https://github.com/PaddlePaddle/PaddleSpeech/wiki/PaddleSpeech-Server-RESTful-API) + ## Usage ### 1. Installation see [installation](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install.md). -It is recommended to use **paddlepaddle 2.2.2** or above. +It is recommended to use **paddlepaddle 2.3.1** or above. You can choose one way from meduim and hard to install paddlespeech. ### 2. Prepare config File @@ -54,7 +57,6 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee [2022-02-23 11:17:32] [INFO] [on.py:38] Application startup complete. INFO: Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) [2022-02-23 11:17:32] [INFO] [server.py:204] Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) - ``` - Python API @@ -77,7 +79,6 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee [2022-02-23 14:57:56] [INFO] [on.py:38] Application startup complete. INFO: Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) [2022-02-23 14:57:56] [INFO] [server.py:204] Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) - ``` @@ -162,7 +163,6 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee [2022-02-23 15:20:37,875] [ INFO] - Save synthesized audio successfully on output.wav. [2022-02-23 15:20:37,875] [ INFO] - Audio duration: 3.612500 s. [2022-02-23 15:20:37,875] [ INFO] - Response time: 0.348050 s. - ``` - Python API @@ -192,7 +192,6 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee {'description': 'success.'} Save synthesized audio successfully on ./output.wav. Audio duration: 3.612500 s. - ``` ### 6. CLS Client Usage @@ -201,7 +200,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee If `127.0.0.1` is not accessible, you need to use the actual service IP address. - ``` + ```bash paddlespeech_client cls --server_ip 127.0.0.1 --port 8090 --input ./zh.wav ``` @@ -220,8 +219,6 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee ```bash [2022-03-09 20:44:39,974] [ INFO] - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'topk': 1, 'results': [{'class_name': 'Speech', 'prob': 0.9027184844017029}]}} [2022-03-09 20:44:39,975] [ INFO] - Response time 0.104360 s. - - ``` - Python API @@ -241,7 +238,6 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee Output: ```bash {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'topk': 1, 'results': [{'class_name': 'Speech', 'prob': 0.9027184844017029}]}} - ``` @@ -411,7 +407,6 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee 我认为跑步最重要的就是给我带来了身体健康。 ``` - ## Models supported by the service ### ASR model Get all models supported by the ASR service via `paddlespeech_server stats --task asr`, where static models can be used for paddle inference inference. diff --git a/demos/speech_server/README_cn.md b/demos/speech_server/README_cn.md index 29629b7e8..9ed9175d7 100644 --- a/demos/speech_server/README_cn.md +++ b/demos/speech_server/README_cn.md @@ -3,21 +3,22 @@ # 语音服务 ## 介绍 -这个 demo 是一个启动离线语音服务和访问服务的实现。它可以通过使用`paddlespeech_server` 和 `paddlespeech_client`的单个命令或 python 的几行代码来实现。 +这个 demo 是一个启动离线语音服务和访问服务的实现。它可以通过使用 `paddlespeech_server` 和 `paddlespeech_client` 的单个命令或 python 的几行代码来实现。 +服务接口定义请参考: +- [PaddleSpeech Server RESTful API](https://github.com/PaddlePaddle/PaddleSpeech/wiki/PaddleSpeech-Server-RESTful-API) ## 使用方法 ### 1. 安装 请看 [安装文档](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install.md). -推荐使用 **paddlepaddle 2.2.2** 或以上版本。 +推荐使用 **paddlepaddle 2.3.1** 或以上版本。 你可以从 medium，hard 两种方式中选择一种方式安装 PaddleSpeech。 - ### 2. 准备配置文件 配置文件可参见 `conf/application.yaml` 。 其中，`engine_list`表示即将启动的服务将会包含的语音引擎，格式为 <语音任务>_<引擎类型>。 -目前服务集成的语音任务有： asr(语音识别)、tts(语音合成)、cls(音频分类)、vector(声纹识别)以及text(文本处理)。 +目前服务集成的语音任务有： asr (语音识别)、tts (语音合成)、cls (音频分类)、vector (声纹识别)以及 text (文本处理)。 目前引擎类型支持两种形式：python 及 inference (Paddle Inference) **注意：** 如果在容器里可正常启动服务，但客户端访问 ip 不可达，可尝试将配置文件中 `host` 地址换成本地 ip 地址。 @@ -55,7 +56,6 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee [2022-02-23 11:17:32] [INFO] [on.py:38] Application startup complete. INFO: Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) [2022-02-23 11:17:32] [INFO] [server.py:204] Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) - ``` - Python API @@ -78,7 +78,6 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee [2022-02-23 14:57:56] [INFO] [on.py:38] Application startup complete. INFO: Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) [2022-02-23 14:57:56] [INFO] [server.py:204] Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) - ``` ### 4. ASR 客户端使用方法 @@ -195,7 +194,6 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee {'description': 'success.'} Save synthesized audio successfully on ./output.wav. Audio duration: 3.612500 s. - ``` ### 6. CLS 客户端使用方法 @@ -206,7 +204,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee 若 `127.0.0.1` 不能访问，则需要使用实际服务 IP 地址 - ``` + ```bash paddlespeech_client cls --server_ip 127.0.0.1 --port 8090 --input ./zh.wav ``` @@ -241,7 +239,6 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee port=8090, topk=1) print(res.json()) - ``` 输出: @@ -258,7 +255,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee 若 `127.0.0.1` 不能访问，则需要使用实际服务 IP 地址 - ``` bash + ```bash paddlespeech_client vector --task spk --server_ip 127.0.0.1 --port 8090 --input 85236145389.wav ``` @@ -276,7 +273,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee * test: 测试音频。 输出: - ``` bash + ```bash [2022-05-25 12:25:36,165] [ INFO] - vector http client start [2022-05-25 12:25:36,165] [ INFO] - the input audio: 85236145389.wav [2022-05-25 12:25:36,165] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector @@ -405,7 +402,6 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee server_ip="127.0.0.1", port=8090,) print(res) - ``` 输出: @@ -418,10 +414,10 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee 通过 `paddlespeech_server stats --task asr` 获取 ASR 服务支持的所有模型，其中静态模型可用于 paddle inference 推理。 ### TTS 支持的模型 -通过 `paddlespeech_server stats --task tts` 获取 TTS 服务支持的所有模型，其中静态模型可用于 paddle inference 推理。 +通过 `paddlespeech_server stats --task tts` 获取 TTS 服务支持的所有模型，其中静态模型可用于 paddle inference 推理。 ### CLS 支持的模型 -通过 `paddlespeech_server stats --task cls` 获取 CLS 服务支持的所有模型，其中静态模型可用于 paddle inference 推理。 +通过 `paddlespeech_server stats --task cls` 获取 CLS 服务支持的所有模型，其中静态模型可用于 paddle inference 推理。 ### Vector 支持的模型 通过 `paddlespeech_server stats --task vector` 获取 Vector 服务支持的所有模型。 diff --git a/demos/speech_web/接口文档.md b/demos/speech_web/API.md similarity index 82% rename from demos/speech_web/接口文档.md rename to demos/speech_web/API.md index a811a3f4e..c51446749 100644 --- a/demos/speech_web/接口文档.md +++ b/demos/speech_web/API.md @@ -8,7 +8,7 @@ http://0.0.0.0:8010/docs ### 【POST】/asr/offline -说明：上传16k,16bit wav文件，返回 offline 语音识别模型识别结果 +说明：上传 16k, 16bit wav 文件，返回 offline 语音识别模型识别结果 返回: JSON @@ -26,11 +26,11 @@ http://0.0.0.0:8010/docs ### 【POST】/asr/offlinefile -说明：上传16k,16bit wav文件，返回 offline 语音识别模型识别结果 + wav数据的base64 +说明：上传16k,16bit wav文件，返回 offline 语音识别模型识别结果 + wav 数据的 base64 返回: JSON -前端接口： 音频文件识别(播放这段base64还原后记得添加wav头，采样率16k, int16，添加后才能播放) +前端接口： 音频文件识别(播放这段base64还原后记得添加 wav 头，采样率 16k, int16，添加后才能播放) 示例: @@ -48,7 +48,7 @@ http://0.0.0.0:8010/docs ### 【POST】/asr/collectEnv -说明： 通过采集环境噪音，上传16k, int16 wav文件，来生成后台VAD的能量阈值， 返回阈值结果 +说明： 通过采集环境噪音，上传 16k, int16 wav 文件，来生成后台 VAD 的能量阈值， 返回阈值结果 前端接口：ASR-环境采样 @@ -64,9 +64,9 @@ http://0.0.0.0:8010/docs ### 【GET】/asr/stopRecord -说明：通过 GET 请求 /asr/stopRecord, 后台停止接收 offlineStream 中通过 WS协议 上传的数据 +说明：通过 GET 请求 /asr/stopRecord, 后台停止接收 offlineStream 中通过 WS 协议 上传的数据 -前端接口：语音聊天-暂停录音（获取NLP，播放TTS时暂停） +前端接口：语音聊天-暂停录音（获取 NLP，播放 TTS 时暂停） 返回: JSON @@ -80,9 +80,9 @@ http://0.0.0.0:8010/docs ### 【GET】/asr/resumeRecord -说明：通过 GET 请求 /asr/resumeRecord, 后台停止接收 offlineStream 中通过 WS协议 上传的数据 +说明：通过 GET 请求 /asr/resumeRecord, 后台停止接收 offlineStream 中通过 WS 协议 上传的数据 -前端接口：语音聊天-恢复录音（TTS播放完毕时，告诉后台恢复录音） +前端接口：语音聊天-恢复录音（ TTS 播放完毕时，告诉后台恢复录音） 返回: JSON @@ -100,16 +100,16 @@ http://0.0.0.0:8010/docs 前端接口：语音聊天-开始录音，持续将麦克风语音传给后端，后端推送语音识别结果 -返回：后端返回识别结果，offline模型识别结果， 由WS推送 +返回：后端返回识别结果，offline 模型识别结果， 由WS推送 ### 【Websocket】/ws/asr/onlineStream -说明：通过 WS 协议，将前端音频持续上传到后台，前端采集 16k，Int16 类型的PCM片段，持续上传到后端 +说明：通过 WS 协议，将前端音频持续上传到后台，前端采集 16k，Int16 类型的 PCM 片段，持续上传到后端 前端接口：ASR-流式识别开始录音，持续将麦克风语音传给后端，后端推送语音识别结果 -返回：后端返回识别结果，online模型识别结果， 由WS推送 +返回：后端返回识别结果，online 模型识别结果， 由 WS 推送 ## NLP @@ -202,7 +202,7 @@ http://0.0.0.0:8010/docs ### 【POST】/tts/offline -说明：获取TTS离线模型音频 +说明：获取 TTS 离线模型音频 前端接口：TTS-端到端合成 @@ -272,7 +272,7 @@ curl -X 'POST' \ ### 【POST】/vpr/recog -说明：声纹识别，识别文件，提取文件的声纹信息做比对 音频 16k, int 16 wav格式 +说明：声纹识别，识别文件，提取文件的声纹信息做比对 音频 16k, int 16 wav 格式 前端接口：声纹识别-上传音频，返回声纹识别结果 @@ -383,9 +383,9 @@ curl -X 'GET' \ ### 【GET】/vpr/database64 -说明： 根据 vpr_id 获取用户vpr时注册使用音频转换成 16k, int16 类型的数组，返回base64编码 +说明： 根据 vpr_id 获取用户 vpr 时注册使用音频转换成 16k, int16 类型的数组，返回 base64 编码 -前端接口：声纹识别-获取vpr对应的音频（注意：播放时需要添加 wav头，16k,int16, 可参考tts播放时添加wav的方式，注意更改采样率） +前端接口：声纹识别-获取 vpr 对应的音频（注意：播放时需要添加 wav头，16k,int16, 可参考 tts 播放时添加 wav 的方式，注意更改采样率） 访问示例： @@ -401,6 +401,4 @@ curl -X 'GET' \ "code": 0, "result":"AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA", "message": "ok" -``` - - +``` \ No newline at end of file diff --git a/demos/speech_web/README_cn.md b/demos/speech_web/README.md similarity index 63% rename from demos/speech_web/README_cn.md rename to demos/speech_web/README.md index eb90bb39c..ded78a6ee 100644 --- a/demos/speech_web/README_cn.md +++ b/demos/speech_web/README.md @@ -1,16 +1,16 @@ # Paddle Speech Demo -PaddleSpeechDemo是一个以PaddleSpeech的语音交互功能为主体开发的Demo展示项目，用于帮助大家更好的上手PaddleSpeech以及使用PaddleSpeech构建自己的应用。 +PaddleSpeechDemo 是一个以 PaddleSpeech 的语音交互功能为主体开发的Demo展示项目，用于帮助大家更好的上手PaddleSpeech 以及使用 PaddleSpeech 构建自己的应用。 -智能语音交互部分使用PaddleSpeech，对话以及信息抽取部分使用PaddleNLP，网页前端展示部分基于Vue3进行开发 +智能语音交互部分使用 PaddleSpeech，对话以及信息抽取部分使用 PaddleNLP，网页前端展示部分基于 Vue3 进行开发 主要功能： -+ 语音聊天：PaddleSpeech的语音识别能力+语音合成能力，对话部分基于PaddleNLP的闲聊功能 -+ 声纹识别：PaddleSpeech的声纹识别功能展示 ++ 语音聊天：PaddleSpeech 的语音识别能力+语音合成能力，对话部分基于 PaddleNLP 的闲聊功能 ++ 声纹识别：PaddleSpeech 的声纹识别功能展示 + 语音识别：支持【实时语音识别】，【端到端识别】，【音频文件识别】三种模式 + 语音合成：支持【流式合成】与【端到端合成】两种方式 -+ 语音指令：基于PaddleSpeech的语音识别能力与PaddleNLP的信息抽取，实现交通费的智能报销 ++ 语音指令：基于 PaddleSpeech 的语音识别能力与 PaddleNLP 的信息抽取，实现交通费的智能报销 运行效果： @@ -32,23 +32,21 @@ cd model wget https://bj.bcebos.com/paddlenlp/applications/speech-cmd-analysis/finetune/model_state.pdparams ``` - ### 前端环境安装 -前端依赖node.js ，需要提前安装，确保npm可用，npm测试版本8.3.1，建议下载[官网](https://nodejs.org/en/)稳定版的node.js +前端依赖 `node.js` ，需要提前安装，确保 `npm` 可用，`npm` 测试版本 `8.3.1`，建议下载[官网](https://nodejs.org/en/)稳定版的 `node.js` ``` # 进入前端目录 cd web_client -# 安装yarn，已经安装可跳过 +# 安装 `yarn`，已经安装可跳过 npm install -g yarn # 使用yarn安装前端依赖 yarn install ``` - ## 启动服务 ### 开启后端服务 @@ -66,18 +64,18 @@ cd web_client yarn dev --port 8011 ``` -默认配置下，前端中配置的后台地址信息是localhost，确保后端服务器和打开页面的游览器在同一台机器上，不在一台机器的配置方式见下方的FAQ：【后端如果部署在其它机器或者别的端口如何修改】 +默认配置下，前端中配置的后台地址信息是 localhost，确保后端服务器和打开页面的游览器在同一台机器上，不在一台机器的配置方式见下方的 FAQ：【后端如果部署在其它机器或者别的端口如何修改】 ## FAQ #### Q: 如何安装node.js -A： node.js的安装可以参考[【菜鸟教程】](https://www.runoob.com/nodejs/nodejs-install-setup.html), 确保npm可用 +A： node.js的安装可以参考[【菜鸟教程】](https://www.runoob.com/nodejs/nodejs-install-setup.html), 确保 npm 可用 #### Q：后端如果部署在其它机器或者别的端口如何修改 A：后端的配置地址有分散在两个文件中 -修改第一个文件`PaddleSpeechWebClient/vite.config.js` +修改第一个文件 `PaddleSpeechWebClient/vite.config.js` ``` server: { @@ -92,7 +90,7 @@ server: { } ``` -修改第二个文件`PaddleSpeechWebClient/src/api/API.js`（Websocket代理配置失败，所以需要在这个文件中修改） +修改第二个文件 `PaddleSpeechWebClient/src/api/API.js`（ Websocket 代理配置失败，所以需要在这个文件中修改） ``` // websocket （这里改成后端所在的接口） @@ -107,9 +105,6 @@ A：这里主要是游览器安全策略的限制，需要配置游览器后重 chrome设置地址: chrome://flags/#unsafely-treat-insecure-origin-as-secure - - - ## 参考资料 vue实现录音参考资料：https://blog.csdn.net/qq_41619796/article/details/107865602#t1 diff --git a/demos/streaming_asr_server/README.md b/demos/streaming_asr_server/README.md index a770f58c3..3ada1b8d4 100644 --- a/demos/streaming_asr_server/README.md +++ b/demos/streaming_asr_server/README.md @@ -7,11 +7,14 @@ This demo is an implementation of starting the streaming speech service and acce Streaming ASR server only support `websocket` protocol, and doesn't support `http` protocol. +服务接口定义请参考: +- [PaddleSpeech Streaming Server WebSocket API](https://github.com/PaddlePaddle/PaddleSpeech/wiki/PaddleSpeech-Server-WebSocket-API) + ## Usage ### 1. Installation see [installation](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install.md). -It is recommended to use **paddlepaddle 2.2.1** or above. +It is recommended to use **paddlepaddle 2.3.1** or above. You can choose one way from meduim and hard to install paddlespeech. ### 2. Prepare config File diff --git a/demos/streaming_asr_server/README_cn.md b/demos/streaming_asr_server/README_cn.md index c771869e9..e4a7ef646 100644 --- a/demos/streaming_asr_server/README_cn.md +++ b/demos/streaming_asr_server/README_cn.md @@ -3,18 +3,21 @@ # 流式语音识别服务 ## 介绍 -这个demo是一个启动流式语音服务和访问服务的实现。 它可以通过使用`paddlespeech_server` 和 `paddlespeech_client`的单个命令或 python 的几行代码来实现。 +这个demo是一个启动流式语音服务和访问服务的实现。 它可以通过使用 `paddlespeech_server` 和 `paddlespeech_client`的单个命令或 python 的几行代码来实现。 **流式语音识别服务只支持 `weboscket` 协议，不支持 `http` 协议。** + +For service interface definition, please check: +- [PaddleSpeech Streaming Server WebSocket API](https://github.com/PaddlePaddle/PaddleSpeech/wiki/PaddleSpeech-Server-WebSocket-API) + ## 使用方法 ### 1. 安装 安装 PaddleSpeech 的详细过程请看 [安装文档](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install.md)。 -推荐使用 **paddlepaddle 2.2.1** 或以上版本。 +推荐使用 **paddlepaddle 2.3.1** 或以上版本。 你可以从medium，hard 两种方式中选择一种方式安装 PaddleSpeech。 - ### 2. 准备配置文件 流式ASR的服务启动脚本和服务测试脚本存放在 `PaddleSpeech/demos/streaming_asr_server` 目录。 @@ -26,7 +29,6 @@ * conformer: `conf/ws_conformer_wenetspeech_application.yaml` - 这个 ASR client 的输入应该是一个 WAV 文件（`.wav`），并且采样率必须与模型的采样率相同。 可以下载此 ASR client的示例音频： diff --git a/demos/streaming_tts_server/README.md b/demos/streaming_tts_server/README.md index cbea6bf77..f708fd319 100644 --- a/demos/streaming_tts_server/README.md +++ b/demos/streaming_tts_server/README.md @@ -5,15 +5,18 @@ ## Introduction This demo is an implementation of starting the streaming speech synthesis service and accessing the service. It can be achieved with a single command using `paddlespeech_server` and `paddlespeech_client` or a few lines of code in python. +For service interface definition, please check: +- [PaddleSpeech Server RESTful API](https://github.com/PaddlePaddle/PaddleSpeech/wiki/PaddleSpeech-Server-RESTful-API) +- [PaddleSpeech Streaming Server WebSocket API](https://github.com/PaddlePaddle/PaddleSpeech/wiki/PaddleSpeech-Server-WebSocket-API) + ## Usage ### 1. Installation see [installation](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install.md). -It is recommended to use **paddlepaddle 2.2.2** or above. +It is recommended to use **paddlepaddle 2.3.1** or above. You can choose one way from meduim and hard to install paddlespeech. - ### 2. Prepare config File The configuration file can be found in `conf/tts_online_application.yaml`. - `protocol` indicates the network protocol used by the streaming TTS service. Currently, both **http and websocket** are supported. diff --git a/demos/streaming_tts_server/README_cn.md b/demos/streaming_tts_server/README_cn.md index 3cd281709..fa041323a 100644 --- a/demos/streaming_tts_server/README_cn.md +++ b/demos/streaming_tts_server/README_cn.md @@ -3,28 +3,29 @@ # 流式语音合成服务 ## 介绍 -这个demo是一个启动流式语音合成服务和访问该服务的实现。 它可以通过使用`paddlespeech_server` 和 `paddlespeech_client`的单个命令或 python 的几行代码来实现。 - +这个 demo 是一个启动流式语音合成服务和访问该服务的实现。 它可以通过使用 `paddlespeech_server` 和 `paddlespeech_client` 的单个命令或 python 的几行代码来实现。 +服务接口定义请参考: +- [PaddleSpeech Server RESTful API](https://github.com/PaddlePaddle/PaddleSpeech/wiki/PaddleSpeech-Server-RESTful-API) +- [PaddleSpeech Streaming Server WebSocket API](https://github.com/PaddlePaddle/PaddleSpeech/wiki/PaddleSpeech-Server-WebSocket-API) ## 使用方法 ### 1. 安装 请看 [安装文档](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install.md). -推荐使用 **paddlepaddle 2.2.2** 或以上版本。 +推荐使用 **paddlepaddle 2.3.1** 或以上版本。 你可以从 medium，hard 两种方式中选择一种方式安装 PaddleSpeech。 - ### 2. 准备配置文件 配置文件可参见 `conf/tts_online_application.yaml` 。 - `protocol` 表示该流式 TTS 服务使用的网络协议，目前支持 **http 和 websocket** 两种。 - `engine_list` 表示即将启动的服务将会包含的语音引擎，格式为 <语音任务>_<引擎类型>。 - 该 demo 主要介绍流式语音合成服务，因此语音任务应设置为 tts。 - 目前引擎类型支持两种形式：**online** 表示使用python进行动态图推理的引擎；**online-onnx** 表示使用 onnxruntime 进行推理的引擎。其中，online-onnx 的推理速度更快。 -- 流式 TTS 引擎的 AM 模型支持：**fastspeech2 以及fastspeech2_cnndecoder**; Voc 模型支持：**hifigan, mb_melgan** +- 流式 TTS 引擎的 AM 模型支持：**fastspeech2 以及 fastspeech2_cnndecoder**; Voc 模型支持：**hifigan, mb_melgan** - 流式 am 推理中，每次会对一个 chunk 的数据进行推理以达到流式的效果。其中 `am_block` 表示 chunk 中的有效帧数，`am_pad` 表示一个 chunk 中 am_block 前后各加的帧数。am_pad 的存在用于消除流式推理产生的误差，避免由流式推理对合成音频质量的影响。 - - fastspeech2 不支持流式 am 推理，因此 am_pad 与 m_block 对它无效 + - fastspeech2 不支持流式 am 推理，因此 am_pad 与 am_block 对它无效 - fastspeech2_cnndecoder 支持流式推理，当 am_pad=12 时，流式推理合成音频与非流式合成音频一致 -- 流式 voc 推理中，每次会对一个 chunk 的数据进行推理以达到流式的效果。其中 `voc_block` 表示chunk中的有效帧数，`voc_pad` 表示一个 chunk 中 voc_block 前后各加的帧数。voc_pad 的存在用于消除流式推理产生的误差，避免由流式推理对合成音频质量的影响。 +- 流式 voc 推理中，每次会对一个 chunk 的数据进行推理以达到流式的效果。其中 `voc_block` 表示 chunk 中的有效帧数，`voc_pad` 表示一个 chunk 中 voc_block 前后各加的帧数。voc_pad 的存在用于消除流式推理产生的误差，避免由流式推理对合成音频质量的影响。 - hifigan, mb_melgan 均支持流式 voc 推理 - 当 voc 模型为 mb_melgan，当 voc_pad=14 时，流式推理合成音频与非流式合成音频一致；voc_pad 最小可以设置为7，合成音频听感上没有异常，若 voc_pad 小于7，合成音频听感上存在异常。 - 当 voc 模型为 hifigan，当 voc_pad=19 时，流式推理合成音频与非流式合成音频一致；当 voc_pad=14 时，合成音频听感上没有异常。 @@ -32,7 +33,7 @@ - **注意：** 如果在容器里可正常启动服务，但客户端访问 ip 不可达，可尝试将配置文件中 `host` 地址换成本地 ip 地址。 -### 3. 使用http协议的流式语音合成服务端及客户端使用方法 +### 3. 使用 http 协议的流式语音合成服务端及客户端使用方法 #### 3.1 服务端使用方法 - 命令行 (推荐使用) @@ -64,7 +65,6 @@ [2022-04-24 20:05:28] [INFO] [on.py:59] Application startup complete. INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) [2022-04-24 20:05:28] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) - ``` - Python API @@ -91,8 +91,6 @@ [2022-04-24 21:00:17] [INFO] [on.py:59] Application startup complete. INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) [2022-04-24 21:00:17] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) - - ``` #### 3.2 客户端使用方法 @@ -162,9 +160,8 @@ [2022-04-24 21:11:16,802] [ INFO] - RTF: 0.7846773683635238 [2022-04-24 21:11:16,837] [ INFO] - 音频保存至：./output.wav ``` - -### 4. 使用websocket协议的流式语音合成服务端及客户端使用方法 +### 4. 使用 websocket 协议的流式语音合成服务端及客户端使用方法 #### 4.1 服务端使用方法 - 命令行 (推荐使用) 首先修改配置文件 `conf/tts_online_application.yaml`， **将 `protocol` 设置为 `websocket`**。 @@ -197,7 +194,6 @@ INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) [2022-04-27 10:18:09] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) - ``` - Python API @@ -230,7 +226,7 @@ #### 4.2 客户端使用方法 - 命令行 (推荐使用) - 访问 websocket 流式TTS服务： + 访问 websocket 流式 TTS 服务： 若 `127.0.0.1` 不能访问，则需要使用实际服务 IP 地址 @@ -255,7 +251,6 @@ - 目前代码中只支持单说话人的模型，因此 spk_id 的选择并不生效。流式 TTS 不支持更换采样率，变速和变音量等功能。 - 输出: ```bash [2022-04-27 10:21:04,262] [ INFO] - tts websocket client start @@ -295,7 +290,4 @@ [2022-04-27 10:22:52,101] [ INFO] - RTF: 0.8445606356352762 [2022-04-27 10:22:52,134] [ INFO] - 音频保存至：./output.wav - ``` - - - + ``` \ No newline at end of file From dfb09eee558cfa63c54c02607c9bf5070db0a429 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Wed, 27 Jul 2022 02:29:50 +0000 Subject: [PATCH 145/192] add pad calc link, test=doc --- demos/speech_server/README.md | 58 ++-- demos/speech_server/README_cn.md | 71 ++--- demos/streaming_asr_server/README.md | 296 ++++++++++--------- demos/streaming_asr_server/README_cn.md | 359 ++++++++++++------------ demos/streaming_tts_server/README.md | 97 +++---- demos/streaming_tts_server/README_cn.md | 75 +++-- 6 files changed, 457 insertions(+), 499 deletions(-) diff --git a/demos/speech_server/README.md b/demos/speech_server/README.md index 65a129407..fda8ab9c4 100644 --- a/demos/speech_server/README.md +++ b/demos/speech_server/README.md @@ -52,7 +52,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee - `log_file`: log file. Default: ./log/paddlespeech.log Output: - ```bash + ```text [2022-02-23 11:17:32] [INFO] [server.py:64] Started server process [6384] INFO: Waiting for application startup. [2022-02-23 11:17:32] [INFO] [on.py:26] Waiting for application startup. @@ -73,7 +73,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee ``` Output: - ```bash + ```text INFO: Started server process [529] [2022-02-23 14:57:56] [INFO] [server.py:64] Started server process [529] INFO: Waiting for application startup. @@ -109,7 +109,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee - `audio_format`: Audio format. Default: "wav". Output: - ```bash + ```text [2022-02-23 18:11:22,819] [ INFO] - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'transcription': '我认为跑步最重要的就是给我带来了身体健康'}} [2022-02-23 18:11:22,820] [ INFO] - time cost 0.689145 s. @@ -132,7 +132,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee ``` Output: - ```bash + ```text {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'transcription': '我认为跑步最重要的就是给我带来了身体健康'}} ``` @@ -161,7 +161,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee - `output`: Output wave filepath. Default: None, which means not to save the audio to the local. Output: - ```bash + ```text [2022-02-23 15:20:37,875] [ INFO] - {'description': 'success.'} [2022-02-23 15:20:37,875] [ INFO] - Save synthesized audio successfully on output.wav. [2022-02-23 15:20:37,875] [ INFO] - Audio duration: 3.612500 s. @@ -191,7 +191,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee ``` Output: - ```bash + ```text {'description': 'success.'} Save synthesized audio successfully on ./output.wav. Audio duration: 3.612500 s. @@ -219,7 +219,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee - `topk`: topk scores of classification result. Output: - ```bash + ```text [2022-03-09 20:44:39,974] [ INFO] - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'topk': 1, 'results': [{'class_name': 'Speech', 'prob': 0.9027184844017029}]}} [2022-03-09 20:44:39,975] [ INFO] - Response time 0.104360 s. ``` @@ -239,7 +239,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee ``` Output: - ```bash + ```text {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'topk': 1, 'results': [{'class_name': 'Speech', 'prob': 0.9027184844017029}]}} ``` @@ -272,13 +272,13 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee Output: - ```bash - [2022-05-25 12:25:36,165] [ INFO] - vector http client start - [2022-05-25 12:25:36,165] [ INFO] - the input audio: 85236145389.wav - [2022-05-25 12:25:36,165] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector - [2022-05-25 12:25:36,166] [ INFO] - http://127.0.0.1:8790/paddlespeech/vector - [2022-05-25 12:25:36,324] [ INFO] - The vector: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [-1.3251205682754517, 7.860682487487793, -4.620625972747803, 0.3000721037387848, 2.2648534774780273, -1.1931440830230713, 3.064713716506958, 7.673594951629639, -6.004472732543945, -12.024259567260742, -1.9496068954467773, 3.126953601837158, 1.6188379526138306, -7.638310432434082, -1.2299772500991821, -12.33833122253418, 2.1373026371002197, -5.395712375640869, 9.717328071594238, 5.675230503082275, 3.7805123329162598, 3.0597171783447266, 3.429692029953003, 8.9760103225708, 13.174124717712402, -0.5313228368759155, 8.942471504211426, 4.465109825134277, -4.426247596740723, -9.726503372192383, 8.399328231811523, 7.223917484283447, -7.435853958129883, 2.9441683292388916, -4.343039512634277, -13.886964797973633, -1.6346734762191772, -10.902740478515625, -5.311244964599609, 3.800722122192383, 3.897603750228882, -2.123077392578125, -2.3521194458007812, 4.151031017303467, -7.404866695404053, 0.13911646604537964, 2.4626107215881348, 4.96645450592041, 0.9897574186325073, 5.483975410461426, -3.3574001789093018, 10.13400650024414, -0.6120170950889587, -10.403095245361328, 4.600754261016846, 16.009349822998047, -7.78369140625, -4.194530487060547, -6.93686056137085, 1.1789555549621582, 11.490800857543945, 4.23802375793457, 9.550930976867676, 8.375045776367188, 7.508914470672607, -0.6570729613304138, -0.3005157709121704, 2.8406054973602295, 3.0828027725219727, 0.7308170199394226, 6.1483540534973145, 0.1376611888408661, -13.424735069274902, -7.746140480041504, -2.322798252105713, -8.305252075195312, 2.98791241645813, -10.99522876739502, 0.15211068093776703, -2.3820347785949707, -1.7984174489974976, 8.49562931060791, -5.852236747741699, -3.755497932434082, 0.6989710927009583, -5.270299434661865, -2.6188621520996094, -1.8828465938568115, -4.6466498374938965, 14.078543663024902, -0.5495333075523376, 10.579157829284668, -3.216050148010254, 9.349003791809082, -4.381077766418457, -11.675816535949707, -2.863020658493042, 4.5721755027771, 2.246612071990967, -4.574341773986816, 1.8610187768936157, 2.3767874240875244, 5.625787734985352, -9.784077644348145, 0.6496725678443909, -1.457950472831726, 0.4263263940811157, -4.921126365661621, -2.4547839164733887, 3.4869801998138428, -0.4265422224998474, 8.341268539428711, 1.356552004814148, 7.096688270568848, -13.102828979492188, 8.01673412322998, -7.115934371948242, 1.8699780702590942, 0.20872099697589874, 14.699383735656738, -1.0252779722213745, -2.6107232570648193, -2.5082311630249023, 8.427192687988281, 6.913852691650391, -6.29124641418457, 0.6157366037368774, 2.489687919616699, -3.4668266773223877, 9.92176342010498, 11.200815200805664, -0.19664029777050018, 7.491600513458252, -0.6231271624565125, -0.2584814429283142, -9.947997093200684, -0.9611040949821472, 1.1649218797683716, -2.1907122135162354, -1.502848744392395, -0.5192610621452332, 15.165953636169434, 2.4649462699890137, -0.998044490814209, 7.44166374206543, -2.0768048763275146, 3.5896823406219482, -7.305543422698975, -7.562084674835205, 4.32333517074585, 0.08044180274009705, -6.564010143280029, -2.314805269241333, -1.7642345428466797, -2.470881700515747, -7.6756181716918945, -9.548877716064453, -1.017755389213562, 0.1698644608259201, 2.5877134799957275, -1.8752295970916748, -0.36614322662353516, -6.049378395080566, -2.3965611457824707, -5.945338726043701, 0.9424033164978027, -13.155974388122559, -7.45780086517334, 0.14658108353614807, -3.7427968978881836, 5.841492652893066, -1.2872905731201172, 5.569431304931641, 12.570590019226074, 1.0939218997955322, 2.2142086029052734, 1.9181575775146484, 6.991420745849609, -5.888138771057129, 3.1409823894500732, -2.0036280155181885, 2.4434285163879395, 9.973138809204102, 5.036680221557617, 2.005120277404785, 2.861560344696045, 5.860223770141602, 2.917618751525879, -1.63111412525177, 2.0292205810546875, -4.070415019989014, -6.831437110900879]}} - [2022-05-25 12:25:36,324] [ INFO] - Response time 0.159053 s. + ```text + [2022-05-25 12:25:36,165] [ INFO] - vector http client start + [2022-05-25 12:25:36,165] [ INFO] - the input audio: 85236145389.wav + [2022-05-25 12:25:36,165] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector + [2022-05-25 12:25:36,166] [ INFO] - http://127.0.0.1:8790/paddlespeech/vector + [2022-05-25 12:25:36,324] [ INFO] - The vector: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [-1.3251205682754517, 7.860682487487793, -4.620625972747803, 0.3000721037387848, 2.2648534774780273, -1.1931440830230713, 3.064713716506958, 7.673594951629639, -6.004472732543945, -12.024259567260742, -1.9496068954467773, 3.126953601837158, 1.6188379526138306, -7.638310432434082, -1.2299772500991821, -12.33833122253418, 2.1373026371002197, -5.395712375640869, 9.717328071594238, 5.675230503082275, 3.7805123329162598, 3.0597171783447266, 3.429692029953003, 8.9760103225708, 13.174124717712402, -0.5313228368759155, 8.942471504211426, 4.465109825134277, -4.426247596740723, -9.726503372192383, 8.399328231811523, 7.223917484283447, -7.435853958129883, 2.9441683292388916, -4.343039512634277, -13.886964797973633, -1.6346734762191772, -10.902740478515625, -5.311244964599609, 3.800722122192383, 3.897603750228882, -2.123077392578125, -2.3521194458007812, 4.151031017303467, -7.404866695404053, 0.13911646604537964, 2.4626107215881348, 4.96645450592041, 0.9897574186325073, 5.483975410461426, -3.3574001789093018, 10.13400650024414, -0.6120170950889587, -10.403095245361328, 4.600754261016846, 16.009349822998047, -7.78369140625, -4.194530487060547, -6.93686056137085, 1.1789555549621582, 11.490800857543945, 4.23802375793457, 9.550930976867676, 8.375045776367188, 7.508914470672607, -0.6570729613304138, -0.3005157709121704, 2.8406054973602295, 3.0828027725219727, 0.7308170199394226, 6.1483540534973145, 0.1376611888408661, -13.424735069274902, -7.746140480041504, -2.322798252105713, -8.305252075195312, 2.98791241645813, -10.99522876739502, 0.15211068093776703, -2.3820347785949707, -1.7984174489974976, 8.49562931060791, -5.852236747741699, -3.755497932434082, 0.6989710927009583, -5.270299434661865, -2.6188621520996094, -1.8828465938568115, -4.6466498374938965, 14.078543663024902, -0.5495333075523376, 10.579157829284668, -3.216050148010254, 9.349003791809082, -4.381077766418457, -11.675816535949707, -2.863020658493042, 4.5721755027771, 2.246612071990967, -4.574341773986816, 1.8610187768936157, 2.3767874240875244, 5.625787734985352, -9.784077644348145, 0.6496725678443909, -1.457950472831726, 0.4263263940811157, -4.921126365661621, -2.4547839164733887, 3.4869801998138428, -0.4265422224998474, 8.341268539428711, 1.356552004814148, 7.096688270568848, -13.102828979492188, 8.01673412322998, -7.115934371948242, 1.8699780702590942, 0.20872099697589874, 14.699383735656738, -1.0252779722213745, -2.6107232570648193, -2.5082311630249023, 8.427192687988281, 6.913852691650391, -6.29124641418457, 0.6157366037368774, 2.489687919616699, -3.4668266773223877, 9.92176342010498, 11.200815200805664, -0.19664029777050018, 7.491600513458252, -0.6231271624565125, -0.2584814429283142, -9.947997093200684, -0.9611040949821472, 1.1649218797683716, -2.1907122135162354, -1.502848744392395, -0.5192610621452332, 15.165953636169434, 2.4649462699890137, -0.998044490814209, 7.44166374206543, -2.0768048763275146, 3.5896823406219482, -7.305543422698975, -7.562084674835205, 4.32333517074585, 0.08044180274009705, -6.564010143280029, -2.314805269241333, -1.7642345428466797, -2.470881700515747, -7.6756181716918945, -9.548877716064453, -1.017755389213562, 0.1698644608259201, 2.5877134799957275, -1.8752295970916748, -0.36614322662353516, -6.049378395080566, -2.3965611457824707, -5.945338726043701, 0.9424033164978027, -13.155974388122559, -7.45780086517334, 0.14658108353614807, -3.7427968978881836, 5.841492652893066, -1.2872905731201172, 5.569431304931641, 12.570590019226074, 1.0939218997955322, 2.2142086029052734, 1.9181575775146484, 6.991420745849609, -5.888138771057129, 3.1409823894500732, -2.0036280155181885, 2.4434285163879395, 9.973138809204102, 5.036680221557617, 2.005120277404785, 2.861560344696045, 5.860223770141602, 2.917618751525879, -1.63111412525177, 2.0292205810546875, -4.070415019989014, -6.831437110900879]}} + [2022-05-25 12:25:36,324] [ INFO] - Response time 0.159053 s. ``` * Python API @@ -297,8 +297,8 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee Output: - ``` bash - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [-1.3251205682754517, 7.860682487487793, -4.620625972747803, 0.3000721037387848, 2.2648534774780273, -1.1931440830230713, 3.064713716506958, 7.673594951629639, -6.004472732543945, -12.024259567260742, -1.9496068954467773, 3.126953601837158, 1.6188379526138306, -7.638310432434082, -1.2299772500991821, -12.33833122253418, 2.1373026371002197, -5.395712375640869, 9.717328071594238, 5.675230503082275, 3.7805123329162598, 3.0597171783447266, 3.429692029953003, 8.9760103225708, 13.174124717712402, -0.5313228368759155, 8.942471504211426, 4.465109825134277, -4.426247596740723, -9.726503372192383, 8.399328231811523, 7.223917484283447, -7.435853958129883, 2.9441683292388916, -4.343039512634277, -13.886964797973633, -1.6346734762191772, -10.902740478515625, -5.311244964599609, 3.800722122192383, 3.897603750228882, -2.123077392578125, -2.3521194458007812, 4.151031017303467, -7.404866695404053, 0.13911646604537964, 2.4626107215881348, 4.96645450592041, 0.9897574186325073, 5.483975410461426, -3.3574001789093018, 10.13400650024414, -0.6120170950889587, -10.403095245361328, 4.600754261016846, 16.009349822998047, -7.78369140625, -4.194530487060547, -6.93686056137085, 1.1789555549621582, 11.490800857543945, 4.23802375793457, 9.550930976867676, 8.375045776367188, 7.508914470672607, -0.6570729613304138, -0.3005157709121704, 2.8406054973602295, 3.0828027725219727, 0.7308170199394226, 6.1483540534973145, 0.1376611888408661, -13.424735069274902, -7.746140480041504, -2.322798252105713, -8.305252075195312, 2.98791241645813, -10.99522876739502, 0.15211068093776703, -2.3820347785949707, -1.7984174489974976, 8.49562931060791, -5.852236747741699, -3.755497932434082, 0.6989710927009583, -5.270299434661865, -2.6188621520996094, -1.8828465938568115, -4.6466498374938965, 14.078543663024902, -0.5495333075523376, 10.579157829284668, -3.216050148010254, 9.349003791809082, -4.381077766418457, -11.675816535949707, -2.863020658493042, 4.5721755027771, 2.246612071990967, -4.574341773986816, 1.8610187768936157, 2.3767874240875244, 5.625787734985352, -9.784077644348145, 0.6496725678443909, -1.457950472831726, 0.4263263940811157, -4.921126365661621, -2.4547839164733887, 3.4869801998138428, -0.4265422224998474, 8.341268539428711, 1.356552004814148, 7.096688270568848, -13.102828979492188, 8.01673412322998, -7.115934371948242, 1.8699780702590942, 0.20872099697589874, 14.699383735656738, -1.0252779722213745, -2.6107232570648193, -2.5082311630249023, 8.427192687988281, 6.913852691650391, -6.29124641418457, 0.6157366037368774, 2.489687919616699, -3.4668266773223877, 9.92176342010498, 11.200815200805664, -0.19664029777050018, 7.491600513458252, -0.6231271624565125, -0.2584814429283142, -9.947997093200684, -0.9611040949821472, 1.1649218797683716, -2.1907122135162354, -1.502848744392395, -0.5192610621452332, 15.165953636169434, 2.4649462699890137, -0.998044490814209, 7.44166374206543, -2.0768048763275146, 3.5896823406219482, -7.305543422698975, -7.562084674835205, 4.32333517074585, 0.08044180274009705, -6.564010143280029, -2.314805269241333, -1.7642345428466797, -2.470881700515747, -7.6756181716918945, -9.548877716064453, -1.017755389213562, 0.1698644608259201, 2.5877134799957275, -1.8752295970916748, -0.36614322662353516, -6.049378395080566, -2.3965611457824707, -5.945338726043701, 0.9424033164978027, -13.155974388122559, -7.45780086517334, 0.14658108353614807, -3.7427968978881836, 5.841492652893066, -1.2872905731201172, 5.569431304931641, 12.570590019226074, 1.0939218997955322, 2.2142086029052734, 1.9181575775146484, 6.991420745849609, -5.888138771057129, 3.1409823894500732, -2.0036280155181885, 2.4434285163879395, 9.973138809204102, 5.036680221557617, 2.005120277404785, 2.861560344696045, 5.860223770141602, 2.917618751525879, -1.63111412525177, 2.0292205810546875, -4.070415019989014, -6.831437110900879]}} + ```text + {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [-1.3251205682754517, 7.860682487487793, -4.620625972747803, 0.3000721037387848, 2.2648534774780273, -1.1931440830230713, 3.064713716506958, 7.673594951629639, -6.004472732543945, -12.024259567260742, -1.9496068954467773, 3.126953601837158, 1.6188379526138306, -7.638310432434082, -1.2299772500991821, -12.33833122253418, 2.1373026371002197, -5.395712375640869, 9.717328071594238, 5.675230503082275, 3.7805123329162598, 3.0597171783447266, 3.429692029953003, 8.9760103225708, 13.174124717712402, -0.5313228368759155, 8.942471504211426, 4.465109825134277, -4.426247596740723, -9.726503372192383, 8.399328231811523, 7.223917484283447, -7.435853958129883, 2.9441683292388916, -4.343039512634277, -13.886964797973633, -1.6346734762191772, -10.902740478515625, -5.311244964599609, 3.800722122192383, 3.897603750228882, -2.123077392578125, -2.3521194458007812, 4.151031017303467, -7.404866695404053, 0.13911646604537964, 2.4626107215881348, 4.96645450592041, 0.9897574186325073, 5.483975410461426, -3.3574001789093018, 10.13400650024414, -0.6120170950889587, -10.403095245361328, 4.600754261016846, 16.009349822998047, -7.78369140625, -4.194530487060547, -6.93686056137085, 1.1789555549621582, 11.490800857543945, 4.23802375793457, 9.550930976867676, 8.375045776367188, 7.508914470672607, -0.6570729613304138, -0.3005157709121704, 2.8406054973602295, 3.0828027725219727, 0.7308170199394226, 6.1483540534973145, 0.1376611888408661, -13.424735069274902, -7.746140480041504, -2.322798252105713, -8.305252075195312, 2.98791241645813, -10.99522876739502, 0.15211068093776703, -2.3820347785949707, -1.7984174489974976, 8.49562931060791, -5.852236747741699, -3.755497932434082, 0.6989710927009583, -5.270299434661865, -2.6188621520996094, -1.8828465938568115, -4.6466498374938965, 14.078543663024902, -0.5495333075523376, 10.579157829284668, -3.216050148010254, 9.349003791809082, -4.381077766418457, -11.675816535949707, -2.863020658493042, 4.5721755027771, 2.246612071990967, -4.574341773986816, 1.8610187768936157, 2.3767874240875244, 5.625787734985352, -9.784077644348145, 0.6496725678443909, -1.457950472831726, 0.4263263940811157, -4.921126365661621, -2.4547839164733887, 3.4869801998138428, -0.4265422224998474, 8.341268539428711, 1.356552004814148, 7.096688270568848, -13.102828979492188, 8.01673412322998, -7.115934371948242, 1.8699780702590942, 0.20872099697589874, 14.699383735656738, -1.0252779722213745, -2.6107232570648193, -2.5082311630249023, 8.427192687988281, 6.913852691650391, -6.29124641418457, 0.6157366037368774, 2.489687919616699, -3.4668266773223877, 9.92176342010498, 11.200815200805664, -0.19664029777050018, 7.491600513458252, -0.6231271624565125, -0.2584814429283142, -9.947997093200684, -0.9611040949821472, 1.1649218797683716, -2.1907122135162354, -1.502848744392395, -0.5192610621452332, 15.165953636169434, 2.4649462699890137, -0.998044490814209, 7.44166374206543, -2.0768048763275146, 3.5896823406219482, -7.305543422698975, -7.562084674835205, 4.32333517074585, 0.08044180274009705, -6.564010143280029, -2.314805269241333, -1.7642345428466797, -2.470881700515747, -7.6756181716918945, -9.548877716064453, -1.017755389213562, 0.1698644608259201, 2.5877134799957275, -1.8752295970916748, -0.36614322662353516, -6.049378395080566, -2.3965611457824707, -5.945338726043701, 0.9424033164978027, -13.155974388122559, -7.45780086517334, 0.14658108353614807, -3.7427968978881836, 5.841492652893066, -1.2872905731201172, 5.569431304931641, 12.570590019226074, 1.0939218997955322, 2.2142086029052734, 1.9181575775146484, 6.991420745849609, -5.888138771057129, 3.1409823894500732, -2.0036280155181885, 2.4434285163879395, 9.973138809204102, 5.036680221557617, 2.005120277404785, 2.861560344696045, 5.860223770141602, 2.917618751525879, -1.63111412525177, 2.0292205810546875, -4.070415019989014, -6.831437110900879]}} ``` #### 7.2 Get the score between speaker audio embedding @@ -329,13 +329,13 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee Output: - ``` bash - [2022-05-25 12:33:24,527] [ INFO] - vector score http client start - [2022-05-25 12:33:24,527] [ INFO] - enroll audio: 85236145389.wav, test audio: 123456789.wav - [2022-05-25 12:33:24,528] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector/score - [2022-05-25 12:33:24,695] [ INFO] - The vector score is: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}} - [2022-05-25 12:33:24,696] [ INFO] - The vector: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}} - [2022-05-25 12:33:24,696] [ INFO] - Response time 0.168271 s. + ```text + [2022-05-25 12:33:24,527] [ INFO] - vector score http client start + [2022-05-25 12:33:24,527] [ INFO] - enroll audio: 85236145389.wav, test audio: 123456789.wav + [2022-05-25 12:33:24,528] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector/score + [2022-05-25 12:33:24,695] [ INFO] - The vector score is: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}} + [2022-05-25 12:33:24,696] [ INFO] - The vector: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}} + [2022-05-25 12:33:24,696] [ INFO] - Response time 0.168271 s. ``` * Python API @@ -356,7 +356,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee Output: - ``` bash + ```text [2022-05-25 12:30:14,143] [ INFO] - vector score http client start [2022-05-25 12:30:14,143] [ INFO] - enroll audio: 85236145389.wav, test audio: 123456789.wav [2022-05-25 12:30:14,143] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector/score @@ -387,9 +387,9 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee - `input`(required): Input text to get punctuation. Output: - ```bash - [2022-05-09 18:19:04,397] [ INFO] - The punc text: 我认为跑步最重要的就是给我带来了身体健康。 - [2022-05-09 18:19:04,397] [ INFO] - Response time 0.092407 s. + ```text + [2022-05-09 18:19:04,397] [ INFO] - The punc text: 我认为跑步最重要的就是给我带来了身体健康。 + [2022-05-09 18:19:04,397] [ INFO] - Response time 0.092407 s. ``` - Python API @@ -406,7 +406,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee ``` Output: - ```bash + ```text 我认为跑步最重要的就是给我带来了身体健康。 ``` diff --git a/demos/speech_server/README_cn.md b/demos/speech_server/README_cn.md index d21a53b07..247bde464 100644 --- a/demos/speech_server/README_cn.md +++ b/demos/speech_server/README_cn.md @@ -55,7 +55,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee - `log_file`: log 文件. 默认：./log/paddlespeech.log 输出: - ```bash + ```text [2022-02-23 11:17:32] [INFO] [server.py:64] Started server process [6384] INFO: Waiting for application startup. [2022-02-23 11:17:32] [INFO] [on.py:26] Waiting for application startup. @@ -76,7 +76,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee ``` 输出： - ```bash + ```text INFO: Started server process [529] [2022-02-23 14:57:56] [INFO] [server.py:64] Started server process [529] INFO: Waiting for application startup. @@ -113,8 +113,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee - `audio_format`: 音频格式，默认值：wav。 输出: - - ```bash + ```text [2022-02-23 18:11:22,819] [ INFO] - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'transcription': '我认为跑步最重要的就是给我带来了身体健康'}} [2022-02-23 18:11:22,820] [ INFO] - time cost 0.689145 s. ``` @@ -136,9 +135,8 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee ``` 输出: - ```bash + ```text {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'transcription': '我认为跑步最重要的就是给我带来了身体健康'}} - ``` ### 5. TTS 客户端使用方法 @@ -167,7 +165,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee - `output`: 输出音频的路径， 默认值：None，表示不保存音频到本地。 输出: - ```bash + ```text [2022-02-23 15:20:37,875] [ INFO] - {'description': 'success.'} [2022-02-23 15:20:37,875] [ INFO] - Save synthesized audio successfully on output.wav. [2022-02-23 15:20:37,875] [ INFO] - Audio duration: 3.612500 s. @@ -197,7 +195,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee ``` 输出: - ```bash + ```text {'description': 'success.'} Save synthesized audio successfully on ./output.wav. Audio duration: 3.612500 s. @@ -227,11 +225,9 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee - `topk`: 分类结果的topk。 输出: - ```bash + ```text [2022-03-09 20:44:39,974] [ INFO] - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'topk': 1, 'results': [{'class_name': 'Speech', 'prob': 0.9027184844017029}]}} [2022-03-09 20:44:39,975] [ INFO] - Response time 0.104360 s. - - ``` - Python API @@ -249,9 +245,8 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee ``` 输出: - ```bash + ```text {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'topk': 1, 'results': [{'class_name': 'Speech', 'prob': 0.9027184844017029}]}} - ``` ### 7. 声纹客户端使用方法 @@ -278,15 +273,15 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee * task: vector 的任务，可选spk或者score。默认是 spk。 * enroll: 注册音频；。 * test: 测试音频。 - 输出: - ```bash - [2022-05-25 12:25:36,165] [ INFO] - vector http client start - [2022-05-25 12:25:36,165] [ INFO] - the input audio: 85236145389.wav - [2022-05-25 12:25:36,165] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector - [2022-05-25 12:25:36,166] [ INFO] - http://127.0.0.1:8790/paddlespeech/vector - [2022-05-25 12:25:36,324] [ INFO] - The vector: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [-1.3251205682754517, 7.860682487487793, -4.620625972747803, 0.3000721037387848, 2.2648534774780273, -1.1931440830230713, 3.064713716506958, 7.673594951629639, -6.004472732543945, -12.024259567260742, -1.9496068954467773, 3.126953601837158, 1.6188379526138306, -7.638310432434082, -1.2299772500991821, -12.33833122253418, 2.1373026371002197, -5.395712375640869, 9.717328071594238, 5.675230503082275, 3.7805123329162598, 3.0597171783447266, 3.429692029953003, 8.9760103225708, 13.174124717712402, -0.5313228368759155, 8.942471504211426, 4.465109825134277, -4.426247596740723, -9.726503372192383, 8.399328231811523, 7.223917484283447, -7.435853958129883, 2.9441683292388916, -4.343039512634277, -13.886964797973633, -1.6346734762191772, -10.902740478515625, -5.311244964599609, 3.800722122192383, 3.897603750228882, -2.123077392578125, -2.3521194458007812, 4.151031017303467, -7.404866695404053, 0.13911646604537964, 2.4626107215881348, 4.96645450592041, 0.9897574186325073, 5.483975410461426, -3.3574001789093018, 10.13400650024414, -0.6120170950889587, -10.403095245361328, 4.600754261016846, 16.009349822998047, -7.78369140625, -4.194530487060547, -6.93686056137085, 1.1789555549621582, 11.490800857543945, 4.23802375793457, 9.550930976867676, 8.375045776367188, 7.508914470672607, -0.6570729613304138, -0.3005157709121704, 2.8406054973602295, 3.0828027725219727, 0.7308170199394226, 6.1483540534973145, 0.1376611888408661, -13.424735069274902, -7.746140480041504, -2.322798252105713, -8.305252075195312, 2.98791241645813, -10.99522876739502, 0.15211068093776703, -2.3820347785949707, -1.7984174489974976, 8.49562931060791, -5.852236747741699, -3.755497932434082, 0.6989710927009583, -5.270299434661865, -2.6188621520996094, -1.8828465938568115, -4.6466498374938965, 14.078543663024902, -0.5495333075523376, 10.579157829284668, -3.216050148010254, 9.349003791809082, -4.381077766418457, -11.675816535949707, -2.863020658493042, 4.5721755027771, 2.246612071990967, -4.574341773986816, 1.8610187768936157, 2.3767874240875244, 5.625787734985352, -9.784077644348145, 0.6496725678443909, -1.457950472831726, 0.4263263940811157, -4.921126365661621, -2.4547839164733887, 3.4869801998138428, -0.4265422224998474, 8.341268539428711, 1.356552004814148, 7.096688270568848, -13.102828979492188, 8.01673412322998, -7.115934371948242, 1.8699780702590942, 0.20872099697589874, 14.699383735656738, -1.0252779722213745, -2.6107232570648193, -2.5082311630249023, 8.427192687988281, 6.913852691650391, -6.29124641418457, 0.6157366037368774, 2.489687919616699, -3.4668266773223877, 9.92176342010498, 11.200815200805664, -0.19664029777050018, 7.491600513458252, -0.6231271624565125, -0.2584814429283142, -9.947997093200684, -0.9611040949821472, 1.1649218797683716, -2.1907122135162354, -1.502848744392395, -0.5192610621452332, 15.165953636169434, 2.4649462699890137, -0.998044490814209, 7.44166374206543, -2.0768048763275146, 3.5896823406219482, -7.305543422698975, -7.562084674835205, 4.32333517074585, 0.08044180274009705, -6.564010143280029, -2.314805269241333, -1.7642345428466797, -2.470881700515747, -7.6756181716918945, -9.548877716064453, -1.017755389213562, 0.1698644608259201, 2.5877134799957275, -1.8752295970916748, -0.36614322662353516, -6.049378395080566, -2.3965611457824707, -5.945338726043701, 0.9424033164978027, -13.155974388122559, -7.45780086517334, 0.14658108353614807, -3.7427968978881836, 5.841492652893066, -1.2872905731201172, 5.569431304931641, 12.570590019226074, 1.0939218997955322, 2.2142086029052734, 1.9181575775146484, 6.991420745849609, -5.888138771057129, 3.1409823894500732, -2.0036280155181885, 2.4434285163879395, 9.973138809204102, 5.036680221557617, 2.005120277404785, 2.861560344696045, 5.860223770141602, 2.917618751525879, -1.63111412525177, 2.0292205810546875, -4.070415019989014, -6.831437110900879]}} - [2022-05-25 12:25:36,324] [ INFO] - Response time 0.159053 s. + 输出: + ```text + [2022-05-25 12:25:36,165] [ INFO] - vector http client start + [2022-05-25 12:25:36,165] [ INFO] - the input audio: 85236145389.wav + [2022-05-25 12:25:36,165] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector + [2022-05-25 12:25:36,166] [ INFO] - http://127.0.0.1:8790/paddlespeech/vector + [2022-05-25 12:25:36,324] [ INFO] - The vector: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [-1.3251205682754517, 7.860682487487793, -4.620625972747803, 0.3000721037387848, 2.2648534774780273, -1.1931440830230713, 3.064713716506958, 7.673594951629639, -6.004472732543945, -12.024259567260742, -1.9496068954467773, 3.126953601837158, 1.6188379526138306, -7.638310432434082, -1.2299772500991821, -12.33833122253418, 2.1373026371002197, -5.395712375640869, 9.717328071594238, 5.675230503082275, 3.7805123329162598, 3.0597171783447266, 3.429692029953003, 8.9760103225708, 13.174124717712402, -0.5313228368759155, 8.942471504211426, 4.465109825134277, -4.426247596740723, -9.726503372192383, 8.399328231811523, 7.223917484283447, -7.435853958129883, 2.9441683292388916, -4.343039512634277, -13.886964797973633, -1.6346734762191772, -10.902740478515625, -5.311244964599609, 3.800722122192383, 3.897603750228882, -2.123077392578125, -2.3521194458007812, 4.151031017303467, -7.404866695404053, 0.13911646604537964, 2.4626107215881348, 4.96645450592041, 0.9897574186325073, 5.483975410461426, -3.3574001789093018, 10.13400650024414, -0.6120170950889587, -10.403095245361328, 4.600754261016846, 16.009349822998047, -7.78369140625, -4.194530487060547, -6.93686056137085, 1.1789555549621582, 11.490800857543945, 4.23802375793457, 9.550930976867676, 8.375045776367188, 7.508914470672607, -0.6570729613304138, -0.3005157709121704, 2.8406054973602295, 3.0828027725219727, 0.7308170199394226, 6.1483540534973145, 0.1376611888408661, -13.424735069274902, -7.746140480041504, -2.322798252105713, -8.305252075195312, 2.98791241645813, -10.99522876739502, 0.15211068093776703, -2.3820347785949707, -1.7984174489974976, 8.49562931060791, -5.852236747741699, -3.755497932434082, 0.6989710927009583, -5.270299434661865, -2.6188621520996094, -1.8828465938568115, -4.6466498374938965, 14.078543663024902, -0.5495333075523376, 10.579157829284668, -3.216050148010254, 9.349003791809082, -4.381077766418457, -11.675816535949707, -2.863020658493042, 4.5721755027771, 2.246612071990967, -4.574341773986816, 1.8610187768936157, 2.3767874240875244, 5.625787734985352, -9.784077644348145, 0.6496725678443909, -1.457950472831726, 0.4263263940811157, -4.921126365661621, -2.4547839164733887, 3.4869801998138428, -0.4265422224998474, 8.341268539428711, 1.356552004814148, 7.096688270568848, -13.102828979492188, 8.01673412322998, -7.115934371948242, 1.8699780702590942, 0.20872099697589874, 14.699383735656738, -1.0252779722213745, -2.6107232570648193, -2.5082311630249023, 8.427192687988281, 6.913852691650391, -6.29124641418457, 0.6157366037368774, 2.489687919616699, -3.4668266773223877, 9.92176342010498, 11.200815200805664, -0.19664029777050018, 7.491600513458252, -0.6231271624565125, -0.2584814429283142, -9.947997093200684, -0.9611040949821472, 1.1649218797683716, -2.1907122135162354, -1.502848744392395, -0.5192610621452332, 15.165953636169434, 2.4649462699890137, -0.998044490814209, 7.44166374206543, -2.0768048763275146, 3.5896823406219482, -7.305543422698975, -7.562084674835205, 4.32333517074585, 0.08044180274009705, -6.564010143280029, -2.314805269241333, -1.7642345428466797, -2.470881700515747, -7.6756181716918945, -9.548877716064453, -1.017755389213562, 0.1698644608259201, 2.5877134799957275, -1.8752295970916748, -0.36614322662353516, -6.049378395080566, -2.3965611457824707, -5.945338726043701, 0.9424033164978027, -13.155974388122559, -7.45780086517334, 0.14658108353614807, -3.7427968978881836, 5.841492652893066, -1.2872905731201172, 5.569431304931641, 12.570590019226074, 1.0939218997955322, 2.2142086029052734, 1.9181575775146484, 6.991420745849609, -5.888138771057129, 3.1409823894500732, -2.0036280155181885, 2.4434285163879395, 9.973138809204102, 5.036680221557617, 2.005120277404785, 2.861560344696045, 5.860223770141602, 2.917618751525879, -1.63111412525177, 2.0292205810546875, -4.070415019989014, -6.831437110900879]}} + [2022-05-25 12:25:36,324] [ INFO] - Response time 0.159053 s. ``` * Python API @@ -304,9 +299,8 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee ``` 输出: - - ``` bash - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [-1.3251205682754517, 7.860682487487793, -4.620625972747803, 0.3000721037387848, 2.2648534774780273, -1.1931440830230713, 3.064713716506958, 7.673594951629639, -6.004472732543945, -12.024259567260742, -1.9496068954467773, 3.126953601837158, 1.6188379526138306, -7.638310432434082, -1.2299772500991821, -12.33833122253418, 2.1373026371002197, -5.395712375640869, 9.717328071594238, 5.675230503082275, 3.7805123329162598, 3.0597171783447266, 3.429692029953003, 8.9760103225708, 13.174124717712402, -0.5313228368759155, 8.942471504211426, 4.465109825134277, -4.426247596740723, -9.726503372192383, 8.399328231811523, 7.223917484283447, -7.435853958129883, 2.9441683292388916, -4.343039512634277, -13.886964797973633, -1.6346734762191772, -10.902740478515625, -5.311244964599609, 3.800722122192383, 3.897603750228882, -2.123077392578125, -2.3521194458007812, 4.151031017303467, -7.404866695404053, 0.13911646604537964, 2.4626107215881348, 4.96645450592041, 0.9897574186325073, 5.483975410461426, -3.3574001789093018, 10.13400650024414, -0.6120170950889587, -10.403095245361328, 4.600754261016846, 16.009349822998047, -7.78369140625, -4.194530487060547, -6.93686056137085, 1.1789555549621582, 11.490800857543945, 4.23802375793457, 9.550930976867676, 8.375045776367188, 7.508914470672607, -0.6570729613304138, -0.3005157709121704, 2.8406054973602295, 3.0828027725219727, 0.7308170199394226, 6.1483540534973145, 0.1376611888408661, -13.424735069274902, -7.746140480041504, -2.322798252105713, -8.305252075195312, 2.98791241645813, -10.99522876739502, 0.15211068093776703, -2.3820347785949707, -1.7984174489974976, 8.49562931060791, -5.852236747741699, -3.755497932434082, 0.6989710927009583, -5.270299434661865, -2.6188621520996094, -1.8828465938568115, -4.6466498374938965, 14.078543663024902, -0.5495333075523376, 10.579157829284668, -3.216050148010254, 9.349003791809082, -4.381077766418457, -11.675816535949707, -2.863020658493042, 4.5721755027771, 2.246612071990967, -4.574341773986816, 1.8610187768936157, 2.3767874240875244, 5.625787734985352, -9.784077644348145, 0.6496725678443909, -1.457950472831726, 0.4263263940811157, -4.921126365661621, -2.4547839164733887, 3.4869801998138428, -0.4265422224998474, 8.341268539428711, 1.356552004814148, 7.096688270568848, -13.102828979492188, 8.01673412322998, -7.115934371948242, 1.8699780702590942, 0.20872099697589874, 14.699383735656738, -1.0252779722213745, -2.6107232570648193, -2.5082311630249023, 8.427192687988281, 6.913852691650391, -6.29124641418457, 0.6157366037368774, 2.489687919616699, -3.4668266773223877, 9.92176342010498, 11.200815200805664, -0.19664029777050018, 7.491600513458252, -0.6231271624565125, -0.2584814429283142, -9.947997093200684, -0.9611040949821472, 1.1649218797683716, -2.1907122135162354, -1.502848744392395, -0.5192610621452332, 15.165953636169434, 2.4649462699890137, -0.998044490814209, 7.44166374206543, -2.0768048763275146, 3.5896823406219482, -7.305543422698975, -7.562084674835205, 4.32333517074585, 0.08044180274009705, -6.564010143280029, -2.314805269241333, -1.7642345428466797, -2.470881700515747, -7.6756181716918945, -9.548877716064453, -1.017755389213562, 0.1698644608259201, 2.5877134799957275, -1.8752295970916748, -0.36614322662353516, -6.049378395080566, -2.3965611457824707, -5.945338726043701, 0.9424033164978027, -13.155974388122559, -7.45780086517334, 0.14658108353614807, -3.7427968978881836, 5.841492652893066, -1.2872905731201172, 5.569431304931641, 12.570590019226074, 1.0939218997955322, 2.2142086029052734, 1.9181575775146484, 6.991420745849609, -5.888138771057129, 3.1409823894500732, -2.0036280155181885, 2.4434285163879395, 9.973138809204102, 5.036680221557617, 2.005120277404785, 2.861560344696045, 5.860223770141602, 2.917618751525879, -1.63111412525177, 2.0292205810546875, -4.070415019989014, -6.831437110900879]}} + ```text + {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [-1.3251205682754517, 7.860682487487793, -4.620625972747803, 0.3000721037387848, 2.2648534774780273, -1.1931440830230713, 3.064713716506958, 7.673594951629639, -6.004472732543945, -12.024259567260742, -1.9496068954467773, 3.126953601837158, 1.6188379526138306, -7.638310432434082, -1.2299772500991821, -12.33833122253418, 2.1373026371002197, -5.395712375640869, 9.717328071594238, 5.675230503082275, 3.7805123329162598, 3.0597171783447266, 3.429692029953003, 8.9760103225708, 13.174124717712402, -0.5313228368759155, 8.942471504211426, 4.465109825134277, -4.426247596740723, -9.726503372192383, 8.399328231811523, 7.223917484283447, -7.435853958129883, 2.9441683292388916, -4.343039512634277, -13.886964797973633, -1.6346734762191772, -10.902740478515625, -5.311244964599609, 3.800722122192383, 3.897603750228882, -2.123077392578125, -2.3521194458007812, 4.151031017303467, -7.404866695404053, 0.13911646604537964, 2.4626107215881348, 4.96645450592041, 0.9897574186325073, 5.483975410461426, -3.3574001789093018, 10.13400650024414, -0.6120170950889587, -10.403095245361328, 4.600754261016846, 16.009349822998047, -7.78369140625, -4.194530487060547, -6.93686056137085, 1.1789555549621582, 11.490800857543945, 4.23802375793457, 9.550930976867676, 8.375045776367188, 7.508914470672607, -0.6570729613304138, -0.3005157709121704, 2.8406054973602295, 3.0828027725219727, 0.7308170199394226, 6.1483540534973145, 0.1376611888408661, -13.424735069274902, -7.746140480041504, -2.322798252105713, -8.305252075195312, 2.98791241645813, -10.99522876739502, 0.15211068093776703, -2.3820347785949707, -1.7984174489974976, 8.49562931060791, -5.852236747741699, -3.755497932434082, 0.6989710927009583, -5.270299434661865, -2.6188621520996094, -1.8828465938568115, -4.6466498374938965, 14.078543663024902, -0.5495333075523376, 10.579157829284668, -3.216050148010254, 9.349003791809082, -4.381077766418457, -11.675816535949707, -2.863020658493042, 4.5721755027771, 2.246612071990967, -4.574341773986816, 1.8610187768936157, 2.3767874240875244, 5.625787734985352, -9.784077644348145, 0.6496725678443909, -1.457950472831726, 0.4263263940811157, -4.921126365661621, -2.4547839164733887, 3.4869801998138428, -0.4265422224998474, 8.341268539428711, 1.356552004814148, 7.096688270568848, -13.102828979492188, 8.01673412322998, -7.115934371948242, 1.8699780702590942, 0.20872099697589874, 14.699383735656738, -1.0252779722213745, -2.6107232570648193, -2.5082311630249023, 8.427192687988281, 6.913852691650391, -6.29124641418457, 0.6157366037368774, 2.489687919616699, -3.4668266773223877, 9.92176342010498, 11.200815200805664, -0.19664029777050018, 7.491600513458252, -0.6231271624565125, -0.2584814429283142, -9.947997093200684, -0.9611040949821472, 1.1649218797683716, -2.1907122135162354, -1.502848744392395, -0.5192610621452332, 15.165953636169434, 2.4649462699890137, -0.998044490814209, 7.44166374206543, -2.0768048763275146, 3.5896823406219482, -7.305543422698975, -7.562084674835205, 4.32333517074585, 0.08044180274009705, -6.564010143280029, -2.314805269241333, -1.7642345428466797, -2.470881700515747, -7.6756181716918945, -9.548877716064453, -1.017755389213562, 0.1698644608259201, 2.5877134799957275, -1.8752295970916748, -0.36614322662353516, -6.049378395080566, -2.3965611457824707, -5.945338726043701, 0.9424033164978027, -13.155974388122559, -7.45780086517334, 0.14658108353614807, -3.7427968978881836, 5.841492652893066, -1.2872905731201172, 5.569431304931641, 12.570590019226074, 1.0939218997955322, 2.2142086029052734, 1.9181575775146484, 6.991420745849609, -5.888138771057129, 3.1409823894500732, -2.0036280155181885, 2.4434285163879395, 9.973138809204102, 5.036680221557617, 2.005120277404785, 2.861560344696045, 5.860223770141602, 2.917618751525879, -1.63111412525177, 2.0292205810546875, -4.070415019989014, -6.831437110900879]}} ``` #### 7.2 音频声纹打分 @@ -335,19 +329,18 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee * test: 测试音频。 输出: - - ``` bash - [2022-05-25 12:33:24,527] [ INFO] - vector score http client start - [2022-05-25 12:33:24,527] [ INFO] - enroll audio: 85236145389.wav, test audio: 123456789.wav - [2022-05-25 12:33:24,528] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector/score - [2022-05-25 12:33:24,695] [ INFO] - The vector score is: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}} - [2022-05-25 12:33:24,696] [ INFO] - The vector: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}} - [2022-05-25 12:33:24,696] [ INFO] - Response time 0.168271 s. + ```text + [2022-05-25 12:33:24,527] [ INFO] - vector score http client start + [2022-05-25 12:33:24,527] [ INFO] - enroll audio: 85236145389.wav, test audio: 123456789.wav + [2022-05-25 12:33:24,528] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector/score + [2022-05-25 12:33:24,695] [ INFO] - The vector score is: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}} + [2022-05-25 12:33:24,696] [ INFO] - The vector: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}} + [2022-05-25 12:33:24,696] [ INFO] - Response time 0.168271 s. ``` * Python API - ``` python + ```python from paddlespeech.server.bin.paddlespeech_client import VectorClientExecutor vectorclient_executor = VectorClientExecutor() @@ -362,8 +355,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee ``` 输出: - - ``` bash + ```text [2022-05-25 12:30:14,143] [ INFO] - vector score http client start [2022-05-25 12:30:14,143] [ INFO] - enroll audio: 85236145389.wav, test audio: 123456789.wav [2022-05-25 12:30:14,143] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector/score @@ -371,7 +363,6 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}} ``` - ### 8. 标点预测 **注意：** 初次使用客户端时响应时间会略长 @@ -394,9 +385,9 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee - `input`(必须输入): 用于标点预测的文本内容。 输出: - ```bash - [2022-05-09 18:19:04,397] [ INFO] - The punc text: 我认为跑步最重要的就是给我带来了身体健康。 - [2022-05-09 18:19:04,397] [ INFO] - Response time 0.092407 s. + ```text + [2022-05-09 18:19:04,397] [ INFO] - The punc text: 我认为跑步最重要的就是给我带来了身体健康。 + [2022-05-09 18:19:04,397] [ INFO] - Response time 0.092407 s. ``` - Python API @@ -412,7 +403,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee ``` 输出: - ```bash + ```text 我认为跑步最重要的就是给我带来了身体健康。 ``` diff --git a/demos/streaming_asr_server/README.md b/demos/streaming_asr_server/README.md index ae66cae48..a97486757 100644 --- a/demos/streaming_asr_server/README.md +++ b/demos/streaming_asr_server/README.md @@ -53,28 +53,28 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav - `log_file`: log file. Default: `./log/paddlespeech.log` Output: - ```bash - [2022-05-14 04:56:13,086] [ INFO] - create the online asr engine instance - [2022-05-14 04:56:13,086] [ INFO] - paddlespeech_server set the device: cpu - [2022-05-14 04:56:13,087] [ INFO] - Load the pretrained model, tag = conformer_online_wenetspeech-zh-16k - [2022-05-14 04:56:13,087] [ INFO] - File /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz md5 checking... - [2022-05-14 04:56:17,542] [ INFO] - Use pretrained model stored in: /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1. 0.0a.model.tar - [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar - [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/model.yaml - [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams - [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams - [2022-05-14 04:56:17,852] [ INFO] - start to create the stream conformer asr engine - [2022-05-14 04:56:17,863] [ INFO] - model name: conformer_online - [2022-05-14 04:56:22,756] [ INFO] - create the transformer like model success - [2022-05-14 04:56:22,758] [ INFO] - Initialize ASR server engine successfully. - INFO: Started server process [4242] - [2022-05-14 04:56:22] [INFO] [server.py:75] Started server process [4242] - INFO: Waiting for application startup. - [2022-05-14 04:56:22] [INFO] [on.py:45] Waiting for application startup. - INFO: Application startup complete. - [2022-05-14 04:56:22] [INFO] [on.py:59] Application startup complete. - INFO: Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) - [2022-05-14 04:56:22] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) + ```text + [2022-05-14 04:56:13,086] [ INFO] - create the online asr engine instance + [2022-05-14 04:56:13,086] [ INFO] - paddlespeech_server set the device: cpu + [2022-05-14 04:56:13,087] [ INFO] - Load the pretrained model, tag = conformer_online_wenetspeech-zh-16k + [2022-05-14 04:56:13,087] [ INFO] - File /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz md5 checking... + [2022-05-14 04:56:17,542] [ INFO] - Use pretrained model stored in: /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1. 0.0a.model.tar + [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar + [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/model.yaml + [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams + [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams + [2022-05-14 04:56:17,852] [ INFO] - start to create the stream conformer asr engine + [2022-05-14 04:56:17,863] [ INFO] - model name: conformer_online + [2022-05-14 04:56:22,756] [ INFO] - create the transformer like model success + [2022-05-14 04:56:22,758] [ INFO] - Initialize ASR server engine successfully. + INFO: Started server process [4242] + [2022-05-14 04:56:22] [INFO] [server.py:75] Started server process [4242] + INFO: Waiting for application startup. + [2022-05-14 04:56:22] [INFO] [on.py:45] Waiting for application startup. + INFO: Application startup complete. + [2022-05-14 04:56:22] [INFO] [on.py:59] Application startup complete. + INFO: Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) + [2022-05-14 04:56:22] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) ``` - Python API @@ -90,28 +90,28 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav ``` Output: - ```bash - [2022-05-14 04:56:13,086] [ INFO] - create the online asr engine instance - [2022-05-14 04:56:13,086] [ INFO] - paddlespeech_server set the device: cpu - [2022-05-14 04:56:13,087] [ INFO] - Load the pretrained model, tag = conformer_online_wenetspeech-zh-16k - [2022-05-14 04:56:13,087] [ INFO] - File /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz md5 checking... - [2022-05-14 04:56:17,542] [ INFO] - Use pretrained model stored in: /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1. 0.0a.model.tar - [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar - [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/model.yaml - [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams - [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams - [2022-05-14 04:56:17,852] [ INFO] - start to create the stream conformer asr engine - [2022-05-14 04:56:17,863] [ INFO] - model name: conformer_online - [2022-05-14 04:56:22,756] [ INFO] - create the transformer like model success - [2022-05-14 04:56:22,758] [ INFO] - Initialize ASR server engine successfully. - INFO: Started server process [4242] - [2022-05-14 04:56:22] [INFO] [server.py:75] Started server process [4242] - INFO: Waiting for application startup. - [2022-05-14 04:56:22] [INFO] [on.py:45] Waiting for application startup. - INFO: Application startup complete. - [2022-05-14 04:56:22] [INFO] [on.py:59] Application startup complete. - INFO: Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) - [2022-05-14 04:56:22] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) + ```text + [2022-05-14 04:56:13,086] [ INFO] - create the online asr engine instance + [2022-05-14 04:56:13,086] [ INFO] - paddlespeech_server set the device: cpu + [2022-05-14 04:56:13,087] [ INFO] - Load the pretrained model, tag = conformer_online_wenetspeech-zh-16k + [2022-05-14 04:56:13,087] [ INFO] - File /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz md5 checking... + [2022-05-14 04:56:17,542] [ INFO] - Use pretrained model stored in: /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1. 0.0a.model.tar + [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar + [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/model.yaml + [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams + [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams + [2022-05-14 04:56:17,852] [ INFO] - start to create the stream conformer asr engine + [2022-05-14 04:56:17,863] [ INFO] - model name: conformer_online + [2022-05-14 04:56:22,756] [ INFO] - create the transformer like model success + [2022-05-14 04:56:22,758] [ INFO] - Initialize ASR server engine successfully. + INFO: Started server process [4242] + [2022-05-14 04:56:22] [INFO] [server.py:75] Started server process [4242] + INFO: Waiting for application startup. + [2022-05-14 04:56:22] [INFO] [on.py:45] Waiting for application startup. + INFO: Application startup complete. + [2022-05-14 04:56:22] [INFO] [on.py:59] Application startup complete. + INFO: Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) + [2022-05-14 04:56:22] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) ``` @@ -122,7 +122,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav If `127.0.0.1` is not accessible, you need to use the actual service IP address. - ``` + ```bash paddlespeech_client asr_online --server_ip 127.0.0.1 --port 8090 --input ./zh.wav ``` @@ -131,6 +131,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav ```bash paddlespeech_client asr_online --help ``` + Arguments: - `server_ip`: server ip. Default: 127.0.0.1 - `port`: server port. Default: 8090 @@ -142,75 +143,74 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav - `punc.server_port`: punctuation server port. Default: None. Output: - ```bash - [2022-05-06 21:10:35,598] [ INFO] - Start to do streaming asr client - [2022-05-06 21:10:35,600] [ INFO] - asr websocket client start - [2022-05-06 21:10:35,600] [ INFO] - endpoint: ws://127.0.0.1:8390/paddlespeech/asr/streaming - [2022-05-06 21:10:35,600] [ INFO] - start to process the wavscp: ./zh.wav - [2022-05-06 21:10:35,670] [ INFO] - client receive msg={"status": "ok", "signal": "server_ready"} - [2022-05-06 21:10:35,699] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:35,713] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:35,726] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:35,738] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:35,750] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:35,762] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:35,774] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:35,786] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:36,387] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:36,398] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:36,407] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:36,416] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:36,425] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:36,434] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:36,442] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:36,930] [ INFO] - client receive msg={'result': '我认为跑'} - [2022-05-06 21:10:36,938] [ INFO] - client receive msg={'result': '我认为跑'} - [2022-05-06 21:10:36,946] [ INFO] - client receive msg={'result': '我认为跑'} - [2022-05-06 21:10:36,954] [ INFO] - client receive msg={'result': '我认为跑'} - [2022-05-06 21:10:36,962] [ INFO] - client receive msg={'result': '我认为跑'} - [2022-05-06 21:10:36,970] [ INFO] - client receive msg={'result': '我认为跑'} - [2022-05-06 21:10:36,977] [ INFO] - client receive msg={'result': '我认为跑'} - [2022-05-06 21:10:36,985] [ INFO] - client receive msg={'result': '我认为跑'} - [2022-05-06 21:10:37,484] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} - [2022-05-06 21:10:37,492] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} - [2022-05-06 21:10:37,500] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} - [2022-05-06 21:10:37,508] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} - [2022-05-06 21:10:37,517] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} - [2022-05-06 21:10:37,525] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} - [2022-05-06 21:10:37,532] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} - [2022-05-06 21:10:38,050] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} - [2022-05-06 21:10:38,058] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} - [2022-05-06 21:10:38,066] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} - [2022-05-06 21:10:38,073] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} - [2022-05-06 21:10:38,081] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} - [2022-05-06 21:10:38,089] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} - [2022-05-06 21:10:38,097] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} - [2022-05-06 21:10:38,105] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} - [2022-05-06 21:10:38,630] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} - [2022-05-06 21:10:38,639] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} - [2022-05-06 21:10:38,647] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} - [2022-05-06 21:10:38,655] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} - [2022-05-06 21:10:38,663] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} - [2022-05-06 21:10:38,671] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} - [2022-05-06 21:10:38,679] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} - [2022-05-06 21:10:39,216] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} - [2022-05-06 21:10:39,224] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} - [2022-05-06 21:10:39,232] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} - [2022-05-06 21:10:39,240] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} - [2022-05-06 21:10:39,248] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} - [2022-05-06 21:10:39,256] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} - [2022-05-06 21:10:39,264] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} - [2022-05-06 21:10:39,272] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} - [2022-05-06 21:10:39,885] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} - [2022-05-06 21:10:39,896] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} - [2022-05-06 21:10:39,905] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} - [2022-05-06 21:10:39,915] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} - [2022-05-06 21:10:39,924] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} - [2022-05-06 21:10:39,934] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} - [2022-05-06 21:10:44,827] [ INFO] - client final receive msg={'status': 'ok', 'signal': 'finished', 'result': '我认为跑步最重要的就是给我带来了身体健康', 'times': [{'w': '我', 'bg': 0.0, 'ed': 0.7000000000000001}, {'w': '认', 'bg': 0.7000000000000001, 'ed': 0.84}, {'w': '为', 'bg': 0.84, 'ed': 1.0}, {'w': '跑', 'bg': 1.0, 'ed': 1.18}, {'w': '步', 'bg': 1.18, 'ed': 1.36}, {'w': '最', 'bg': 1.36, 'ed': 1.5}, {'w': '重', 'bg': 1.5, 'ed': 1.6400000000000001}, {'w': '要', 'bg': 1.6400000000000001, 'ed': 1.78}, {'w': '的', 'bg': 1.78, 'ed': 1.9000000000000001}, {'w': '就', 'bg': 1.9000000000000001, 'ed': 2.06}, {'w': '是', 'bg': 2.06, 'ed': 2.62}, {'w': '给', 'bg': 2.62, 'ed': 3.16}, {'w': '我', 'bg': 3.16, 'ed': 3.3200000000000003}, {'w': '带', 'bg': 3.3200000000000003, 'ed': 3.48}, {'w': '来', 'bg': 3.48, 'ed': 3.62}, {'w': '了', 'bg': 3.62, 'ed': 3.7600000000000002}, {'w': '身', 'bg': 3.7600000000000002, 'ed': 3.9}, {'w': '体', 'bg': 3.9, 'ed': 4.0600000000000005}, {'w': '健', 'bg': 4.0600000000000005, 'ed': 4.26}, {'w': '康', 'bg': 4.26, 'ed': 4.96}]} - [2022-05-06 21:10:44,827] [ INFO] - audio duration: 4.9968125, elapsed time: 9.225094079971313, RTF=1.846195765794957 - [2022-05-06 21:10:44,828] [ INFO] - asr websocket client finished : 我认为跑步最重要的就是给我带来了身体健康 - + ```text + [2022-05-06 21:10:35,598] [ INFO] - Start to do streaming asr client + [2022-05-06 21:10:35,600] [ INFO] - asr websocket client start + [2022-05-06 21:10:35,600] [ INFO] - endpoint: ws://127.0.0.1:8390/paddlespeech/asr/streaming + [2022-05-06 21:10:35,600] [ INFO] - start to process the wavscp: ./zh.wav + [2022-05-06 21:10:35,670] [ INFO] - client receive msg={"status": "ok", "signal": "server_ready"} + [2022-05-06 21:10:35,699] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:35,713] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:35,726] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:35,738] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:35,750] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:35,762] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:35,774] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:35,786] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:36,387] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:36,398] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:36,407] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:36,416] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:36,425] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:36,434] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:36,442] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:36,930] [ INFO] - client receive msg={'result': '我认为跑'} + [2022-05-06 21:10:36,938] [ INFO] - client receive msg={'result': '我认为跑'} + [2022-05-06 21:10:36,946] [ INFO] - client receive msg={'result': '我认为跑'} + [2022-05-06 21:10:36,954] [ INFO] - client receive msg={'result': '我认为跑'} + [2022-05-06 21:10:36,962] [ INFO] - client receive msg={'result': '我认为跑'} + [2022-05-06 21:10:36,970] [ INFO] - client receive msg={'result': '我认为跑'} + [2022-05-06 21:10:36,977] [ INFO] - client receive msg={'result': '我认为跑'} + [2022-05-06 21:10:36,985] [ INFO] - client receive msg={'result': '我认为跑'} + [2022-05-06 21:10:37,484] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} + [2022-05-06 21:10:37,492] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} + [2022-05-06 21:10:37,500] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} + [2022-05-06 21:10:37,508] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} + [2022-05-06 21:10:37,517] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} + [2022-05-06 21:10:37,525] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} + [2022-05-06 21:10:37,532] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} + [2022-05-06 21:10:38,050] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} + [2022-05-06 21:10:38,058] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} + [2022-05-06 21:10:38,066] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} + [2022-05-06 21:10:38,073] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} + [2022-05-06 21:10:38,081] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} + [2022-05-06 21:10:38,089] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} + [2022-05-06 21:10:38,097] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} + [2022-05-06 21:10:38,105] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} + [2022-05-06 21:10:38,630] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} + [2022-05-06 21:10:38,639] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} + [2022-05-06 21:10:38,647] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} + [2022-05-06 21:10:38,655] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} + [2022-05-06 21:10:38,663] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} + [2022-05-06 21:10:38,671] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} + [2022-05-06 21:10:38,679] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} + [2022-05-06 21:10:39,216] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} + [2022-05-06 21:10:39,224] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} + [2022-05-06 21:10:39,232] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} + [2022-05-06 21:10:39,240] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} + [2022-05-06 21:10:39,248] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} + [2022-05-06 21:10:39,256] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} + [2022-05-06 21:10:39,264] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} + [2022-05-06 21:10:39,272] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} + [2022-05-06 21:10:39,885] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} + [2022-05-06 21:10:39,896] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} + [2022-05-06 21:10:39,905] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} + [2022-05-06 21:10:39,915] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} + [2022-05-06 21:10:39,924] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} + [2022-05-06 21:10:39,934] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} + [2022-05-06 21:10:44,827] [ INFO] - client final receive msg={'status': 'ok', 'signal': 'finished', 'result': '我认为跑步最重要的就是给我带来了身体健康', 'times': [{'w': '我', 'bg': 0.0, 'ed': 0.7000000000000001}, {'w': '认', 'bg': 0.7000000000000001, 'ed': 0.84}, {'w': '为', 'bg': 0.84, 'ed': 1.0}, {'w': '跑', 'bg': 1.0, 'ed': 1.18}, {'w': '步', 'bg': 1.18, 'ed': 1.36}, {'w': '最', 'bg': 1.36, 'ed': 1.5}, {'w': '重', 'bg': 1.5, 'ed': 1.6400000000000001}, {'w': '要', 'bg': 1.6400000000000001, 'ed': 1.78}, {'w': '的', 'bg': 1.78, 'ed': 1.9000000000000001}, {'w': '就', 'bg': 1.9000000000000001, 'ed': 2.06}, {'w': '是', 'bg': 2.06, 'ed': 2.62}, {'w': '给', 'bg': 2.62, 'ed': 3.16}, {'w': '我', 'bg': 3.16, 'ed': 3.3200000000000003}, {'w': '带', 'bg': 3.3200000000000003, 'ed': 3.48}, {'w': '来', 'bg': 3.48, 'ed': 3.62}, {'w': '了', 'bg': 3.62, 'ed': 3.7600000000000002}, {'w': '身', 'bg': 3.7600000000000002, 'ed': 3.9}, {'w': '体', 'bg': 3.9, 'ed': 4.0600000000000005}, {'w': '健', 'bg': 4.0600000000000005, 'ed': 4.26}, {'w': '康', 'bg': 4.26, 'ed': 4.96}]} + [2022-05-06 21:10:44,827] [ INFO] - audio duration: 4.9968125, elapsed time: 9.225094079971313, RTF=1.846195765794957 + [2022-05-06 21:10:44,828] [ INFO] - asr websocket client finished : 我认为跑步最重要的就是给我带来了身体健康 ``` - Python API @@ -229,7 +229,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav ``` Output: - ```bash + ```text [2022-05-06 21:14:03,137] [ INFO] - asr websocket client start [2022-05-06 21:14:03,137] [ INFO] - endpoint: ws://127.0.0.1:8390/paddlespeech/asr/streaming [2022-05-06 21:14:03,149] [ INFO] - client receive msg={"status": "ok", "signal": "server_ready"} @@ -304,12 +304,11 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav - Command Line **Note:** The default deployment of the server is on the 'CPU' device, which can be deployed on the 'GPU' by modifying the 'device' parameter in the service configuration file. - ``` bash + ```bash In PaddleSpeech/demos/streaming_asr_server directory to lanuch punctuation service paddlespeech_server start --config_file conf/punc_application.yaml ``` - Usage: ```bash paddlespeech_server start --help @@ -321,7 +320,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav Output: - ``` bash + ```text [2022-05-02 17:59:26,285] [ INFO] - Create the TextEngine Instance [2022-05-02 17:59:26,285] [ INFO] - Init the text engine [2022-05-02 17:59:26,285] [ INFO] - Text Engine set the device: gpu:0 @@ -353,26 +352,26 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav log_file="./log/paddlespeech.log") ``` - Output: - ``` - [2022-05-02 18:09:02,542] [ INFO] - Create the TextEngine Instance - [2022-05-02 18:09:02,543] [ INFO] - Init the text engine - [2022-05-02 18:09:02,543] [ INFO] - Text Engine set the device: gpu:0 - [2022-05-02 18:09:02,545] [ INFO] - File /home/users/xiongxinlei/.paddlespeech/models/ernie_linear_p3_wudao-punc-zh/ernie_linear_p3_wudao-punc-zh.tar.gz md5 checking... - [2022-05-02 18:09:06,919] [ INFO] - Use pretrained model stored in: /home/users/xiongxinlei/.paddlespeech/models/ernie_linear_p3_wudao-punc-zh/ernie_linear_p3_wudao-punc-zh.tar - W0502 18:09:07.523002 22615 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 6.1, Driver API Version: 10.2, Runtime API Version: 10.2 - W0502 18:09:07.527882 22615 device_context.cc:465] device: 0, cuDNN Version: 7.6. - [2022-05-02 18:09:10,900] [ INFO] - Already cached /home/users/xiongxinlei/.paddlenlp/models/ernie-1.0/vocab.txt - [2022-05-02 18:09:10,913] [ INFO] - Init the text engine successfully - INFO: Started server process [22615] - [2022-05-02 18:09:10] [INFO] [server.py:75] Started server process [22615] - INFO: Waiting for application startup. - [2022-05-02 18:09:10] [INFO] [on.py:45] Waiting for application startup. - INFO: Application startup complete. - [2022-05-02 18:09:10] [INFO] [on.py:59] Application startup complete. - INFO: Uvicorn running on http://0.0.0.0:8190 (Press CTRL+C to quit) - [2022-05-02 18:09:10] [INFO] [server.py:206] Uvicorn running on http://0.0.0.0:8190 (Press CTRL+C to quit) - ``` + Output: + ```text + [2022-05-02 18:09:02,542] [ INFO] - Create the TextEngine Instance + [2022-05-02 18:09:02,543] [ INFO] - Init the text engine + [2022-05-02 18:09:02,543] [ INFO] - Text Engine set the device: gpu:0 + [2022-05-02 18:09:02,545] [ INFO] - File /home/users/xiongxinlei/.paddlespeech/models/ernie_linear_p3_wudao-punc-zh/ernie_linear_p3_wudao-punc-zh.tar.gz md5 checking... + [2022-05-02 18:09:06,919] [ INFO] - Use pretrained model stored in: /home/users/xiongxinlei/.paddlespeech/models/ernie_linear_p3_wudao-punc-zh/ernie_linear_p3_wudao-punc-zh.tar + W0502 18:09:07.523002 22615 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 6.1, Driver API Version: 10.2, Runtime API Version: 10.2 + W0502 18:09:07.527882 22615 device_context.cc:465] device: 0, cuDNN Version: 7.6. + [2022-05-02 18:09:10,900] [ INFO] - Already cached /home/users/xiongxinlei/.paddlenlp/models/ernie-1.0/vocab.txt + [2022-05-02 18:09:10,913] [ INFO] - Init the text engine successfully + INFO: Started server process [22615] + [2022-05-02 18:09:10] [INFO] [server.py:75] Started server process [22615] + INFO: Waiting for application startup. + [2022-05-02 18:09:10] [INFO] [on.py:45] Waiting for application startup. + INFO: Application startup complete. + [2022-05-02 18:09:10] [INFO] [on.py:59] Application startup complete. + INFO: Uvicorn running on http://0.0.0.0:8190 (Press CTRL+C to quit) + [2022-05-02 18:09:10] [INFO] [server.py:206] Uvicorn running on http://0.0.0.0:8190 (Press CTRL+C to quit) + ``` ### 2. Client usage **Note** The response time will be slightly longer when using the client for the first time @@ -381,17 +380,17 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav If `127.0.0.1` is not accessible, you need to use the actual service IP address. - ``` + ```bash paddlespeech_client text --server_ip 127.0.0.1 --port 8190 --input "我认为跑步最重要的就是给我带来了身体健康" ``` Output - ``` + ```text [2022-05-02 18:12:29,767] [ INFO] - The punc text: 我认为跑步最重要的就是给我带来了身体健康。 [2022-05-02 18:12:29,767] [ INFO] - Response time 0.096548 s. ``` -- Python3 API +- Python API ```python from paddlespeech.server.bin.paddlespeech_client import TextClientExecutor @@ -405,11 +404,10 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav ``` Output: - ``` bash + ```text 我认为跑步最重要的就是给我带来了身体健康。 ``` - ## Join streaming asr and punctuation server By default, each server is deployed on the 'CPU' device and speech recognition and punctuation prediction can be deployed on different 'GPU' by modifying the' device 'parameter in the service configuration file respectively. @@ -418,7 +416,7 @@ We use `streaming_ asr_server.py` and `punc_server.py` two services to lanuch st ### 1. Start two server -``` bash +```bash Note: streaming speech recognition and punctuation prediction are configured on different graphics cards through configuration files bash server.sh ``` @@ -428,11 +426,11 @@ bash server.sh If `127.0.0.1` is not accessible, you need to use the actual service IP address. - ``` + ```bash paddlespeech_client asr_online --server_ip 127.0.0.1 --port 8290 --punc.server_ip 127.0.0.1 --punc.port 8190 --input ./zh.wav ``` Output: - ``` + ```text [2022-05-07 11:21:47,060] [ INFO] - asr websocket client start [2022-05-07 11:21:47,060] [ INFO] - endpoint: ws://127.0.0.1:8490/paddlespeech/asr/streaming [2022-05-07 11:21:47,080] [ INFO] - client receive msg={"status": "ok", "signal": "server_ready"} @@ -506,11 +504,11 @@ bash server.sh If `127.0.0.1` is not accessible, you need to use the actual service IP address. - ``` + ```bash python3 websocket_client.py --server_ip 127.0.0.1 --port 8290 --punc.server_ip 127.0.0.1 --punc.port 8190 --wavfile ./zh.wav ``` Output: - ``` + ```text [2022-05-07 11:11:02,984] [ INFO] - Start to do streaming asr client [2022-05-07 11:11:02,985] [ INFO] - asr websocket client start [2022-05-07 11:11:02,985] [ INFO] - endpoint: ws://127.0.0.1:8490/paddlespeech/asr/streaming @@ -579,5 +577,3 @@ bash server.sh [2022-05-07 11:11:18,915] [ INFO] - audio duration: 4.9968125, elapsed time: 15.928460597991943, RTF=3.187724293835709 [2022-05-07 11:11:18,916] [ INFO] - asr websocket client finished : 我认为跑步最重要的就是给我带来了身体健康 ``` - - diff --git a/demos/streaming_asr_server/README_cn.md b/demos/streaming_asr_server/README_cn.md index 55acc07c7..267367729 100644 --- a/demos/streaming_asr_server/README_cn.md +++ b/demos/streaming_asr_server/README_cn.md @@ -58,28 +58,28 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav - `log_file`: log 文件. 默认：`./log/paddlespeech.log` 输出: - ```bash - [2022-05-14 04:56:13,086] [ INFO] - create the online asr engine instance - [2022-05-14 04:56:13,086] [ INFO] - paddlespeech_server set the device: cpu - [2022-05-14 04:56:13,087] [ INFO] - Load the pretrained model, tag = conformer_online_wenetspeech-zh-16k - [2022-05-14 04:56:13,087] [ INFO] - File /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz md5 checking... - [2022-05-14 04:56:17,542] [ INFO] - Use pretrained model stored in: /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1. 0.0a.model.tar - [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar - [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/model.yaml - [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams - [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams - [2022-05-14 04:56:17,852] [ INFO] - start to create the stream conformer asr engine - [2022-05-14 04:56:17,863] [ INFO] - model name: conformer_online - [2022-05-14 04:56:22,756] [ INFO] - create the transformer like model success - [2022-05-14 04:56:22,758] [ INFO] - Initialize ASR server engine successfully. - INFO: Started server process [4242] - [2022-05-14 04:56:22] [INFO] [server.py:75] Started server process [4242] - INFO: Waiting for application startup. - [2022-05-14 04:56:22] [INFO] [on.py:45] Waiting for application startup. - INFO: Application startup complete. - [2022-05-14 04:56:22] [INFO] [on.py:59] Application startup complete. - INFO: Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) - [2022-05-14 04:56:22] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) + ```text + [2022-05-14 04:56:13,086] [ INFO] - create the online asr engine instance + [2022-05-14 04:56:13,086] [ INFO] - paddlespeech_server set the device: cpu + [2022-05-14 04:56:13,087] [ INFO] - Load the pretrained model, tag = conformer_online_wenetspeech-zh-16k + [2022-05-14 04:56:13,087] [ INFO] - File /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz md5 checking... + [2022-05-14 04:56:17,542] [ INFO] - Use pretrained model stored in: /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1. 0.0a.model.tar + [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar + [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/model.yaml + [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams + [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams + [2022-05-14 04:56:17,852] [ INFO] - start to create the stream conformer asr engine + [2022-05-14 04:56:17,863] [ INFO] - model name: conformer_online + [2022-05-14 04:56:22,756] [ INFO] - create the transformer like model success + [2022-05-14 04:56:22,758] [ INFO] - Initialize ASR server engine successfully. + INFO: Started server process [4242] + [2022-05-14 04:56:22] [INFO] [server.py:75] Started server process [4242] + INFO: Waiting for application startup. + [2022-05-14 04:56:22] [INFO] [on.py:45] Waiting for application startup. + INFO: Application startup complete. + [2022-05-14 04:56:22] [INFO] [on.py:59] Application startup complete. + INFO: Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) + [2022-05-14 04:56:22] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) ``` - Python API @@ -94,29 +94,29 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav log_file="./log/paddlespeech.log") ``` - 输出： - ```bash - [2022-05-14 04:56:13,086] [ INFO] - create the online asr engine instance - [2022-05-14 04:56:13,086] [ INFO] - paddlespeech_server set the device: cpu - [2022-05-14 04:56:13,087] [ INFO] - Load the pretrained model, tag = conformer_online_wenetspeech-zh-16k - [2022-05-14 04:56:13,087] [ INFO] - File /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz md5 checking... - [2022-05-14 04:56:17,542] [ INFO] - Use pretrained model stored in: /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1. 0.0a.model.tar - [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar - [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/model.yaml - [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams - [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams - [2022-05-14 04:56:17,852] [ INFO] - start to create the stream conformer asr engine - [2022-05-14 04:56:17,863] [ INFO] - model name: conformer_online - [2022-05-14 04:56:22,756] [ INFO] - create the transformer like model success - [2022-05-14 04:56:22,758] [ INFO] - Initialize ASR server engine successfully. - INFO: Started server process [4242] - [2022-05-14 04:56:22] [INFO] [server.py:75] Started server process [4242] - INFO: Waiting for application startup. - [2022-05-14 04:56:22] [INFO] [on.py:45] Waiting for application startup. - INFO: Application startup complete. - [2022-05-14 04:56:22] [INFO] [on.py:59] Application startup complete. - INFO: Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) - [2022-05-14 04:56:22] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) + 输出: + ```text + [2022-05-14 04:56:13,086] [ INFO] - create the online asr engine instance + [2022-05-14 04:56:13,086] [ INFO] - paddlespeech_server set the device: cpu + [2022-05-14 04:56:13,087] [ INFO] - Load the pretrained model, tag = conformer_online_wenetspeech-zh-16k + [2022-05-14 04:56:13,087] [ INFO] - File /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar.gz md5 checking... + [2022-05-14 04:56:17,542] [ INFO] - Use pretrained model stored in: /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1. 0.0a.model.tar + [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar + [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/model.yaml + [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams + [2022-05-14 04:56:17,543] [ INFO] - /root/.paddlespeech/models/conformer_online_wenetspeech-zh-16k/asr1_chunk_conformer_wenetspeech_ckpt_1.0.0a.model.tar/exp/ chunk_conformer/checkpoints/avg_10.pdparams + [2022-05-14 04:56:17,852] [ INFO] - start to create the stream conformer asr engine + [2022-05-14 04:56:17,863] [ INFO] - model name: conformer_online + [2022-05-14 04:56:22,756] [ INFO] - create the transformer like model success + [2022-05-14 04:56:22,758] [ INFO] - Initialize ASR server engine successfully. + INFO: Started server process [4242] + [2022-05-14 04:56:22] [INFO] [server.py:75] Started server process [4242] + INFO: Waiting for application startup. + [2022-05-14 04:56:22] [INFO] [on.py:45] Waiting for application startup. + INFO: Application startup complete. + [2022-05-14 04:56:22] [INFO] [on.py:59] Application startup complete. + INFO: Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) + [2022-05-14 04:56:22] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8090 (Press CTRL+C to quit) ``` ### 4. ASR 客户端使用方法 @@ -124,98 +124,97 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav **注意：** 初次使用客户端时响应时间会略长 - 命令行 (推荐使用) - 若 `127.0.0.1` 不能访问，则需要使用实际服务 IP 地址 + 若 `127.0.0.1` 不能访问，则需要使用实际服务 IP 地址 - ``` - paddlespeech_client asr_online --server_ip 127.0.0.1 --port 8090 --input ./zh.wav - ``` + ```bash + paddlespeech_client asr_online --server_ip 127.0.0.1 --port 8090 --input ./zh.wav + ``` - 使用帮助: - - ```bash - paddlespeech_client asr_online --help - ``` + 使用帮助: - 参数: - - `server_ip`: 服务端ip地址，默认: 127.0.0.1。 - - `port`: 服务端口，默认: 8090。 - - `input`(必须输入): 用于识别的音频文件。 - - `sample_rate`: 音频采样率，默认值：16000。 - - `lang`: 模型语言，默认值：zh_cn。 - - `audio_format`: 音频格式，默认值：wav。 - - `punc.server_ip` 标点预测服务的ip。默认是None。 - - `punc.server_port` 标点预测服务的端口port。默认是None。 - - 输出: - - ```bash - [2022-05-06 21:10:35,598] [ INFO] - Start to do streaming asr client - [2022-05-06 21:10:35,600] [ INFO] - asr websocket client start - [2022-05-06 21:10:35,600] [ INFO] - endpoint: ws://127.0.0.1:8390/paddlespeech/asr/streaming - [2022-05-06 21:10:35,600] [ INFO] - start to process the wavscp: ./zh.wav - [2022-05-06 21:10:35,670] [ INFO] - client receive msg={"status": "ok", "signal": "server_ready"} - [2022-05-06 21:10:35,699] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:35,713] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:35,726] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:35,738] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:35,750] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:35,762] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:35,774] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:35,786] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:36,387] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:36,398] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:36,407] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:36,416] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:36,425] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:36,434] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:36,442] [ INFO] - client receive msg={'result': ''} - [2022-05-06 21:10:36,930] [ INFO] - client receive msg={'result': '我认为跑'} - [2022-05-06 21:10:36,938] [ INFO] - client receive msg={'result': '我认为跑'} - [2022-05-06 21:10:36,946] [ INFO] - client receive msg={'result': '我认为跑'} - [2022-05-06 21:10:36,954] [ INFO] - client receive msg={'result': '我认为跑'} - [2022-05-06 21:10:36,962] [ INFO] - client receive msg={'result': '我认为跑'} - [2022-05-06 21:10:36,970] [ INFO] - client receive msg={'result': '我认为跑'} - [2022-05-06 21:10:36,977] [ INFO] - client receive msg={'result': '我认为跑'} - [2022-05-06 21:10:36,985] [ INFO] - client receive msg={'result': '我认为跑'} - [2022-05-06 21:10:37,484] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} - [2022-05-06 21:10:37,492] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} - [2022-05-06 21:10:37,500] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} - [2022-05-06 21:10:37,508] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} - [2022-05-06 21:10:37,517] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} - [2022-05-06 21:10:37,525] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} - [2022-05-06 21:10:37,532] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} - [2022-05-06 21:10:38,050] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} - [2022-05-06 21:10:38,058] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} - [2022-05-06 21:10:38,066] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} - [2022-05-06 21:10:38,073] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} - [2022-05-06 21:10:38,081] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} - [2022-05-06 21:10:38,089] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} - [2022-05-06 21:10:38,097] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} - [2022-05-06 21:10:38,105] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} - [2022-05-06 21:10:38,630] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} - [2022-05-06 21:10:38,639] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} - [2022-05-06 21:10:38,647] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} - [2022-05-06 21:10:38,655] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} - [2022-05-06 21:10:38,663] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} - [2022-05-06 21:10:38,671] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} - [2022-05-06 21:10:38,679] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} - [2022-05-06 21:10:39,216] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} - [2022-05-06 21:10:39,224] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} - [2022-05-06 21:10:39,232] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} - [2022-05-06 21:10:39,240] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} - [2022-05-06 21:10:39,248] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} - [2022-05-06 21:10:39,256] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} - [2022-05-06 21:10:39,264] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} - [2022-05-06 21:10:39,272] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} - [2022-05-06 21:10:39,885] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} - [2022-05-06 21:10:39,896] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} - [2022-05-06 21:10:39,905] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} - [2022-05-06 21:10:39,915] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} - [2022-05-06 21:10:39,924] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} - [2022-05-06 21:10:39,934] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} - [2022-05-06 21:10:44,827] [ INFO] - client final receive msg={'status': 'ok', 'signal': 'finished', 'result': '我认为跑步最重要的就是给我带来了身体健康', 'times': [{'w': '我', 'bg': 0.0, 'ed': 0.7000000000000001}, {'w': '认', 'bg': 0.7000000000000001, 'ed': 0.84}, {'w': '为', 'bg': 0.84, 'ed': 1.0}, {'w': '跑', 'bg': 1.0, 'ed': 1.18}, {'w': '步', 'bg': 1.18, 'ed': 1.36}, {'w': '最', 'bg': 1.36, 'ed': 1.5}, {'w': '重', 'bg': 1.5, 'ed': 1.6400000000000001}, {'w': '要', 'bg': 1.6400000000000001, 'ed': 1.78}, {'w': '的', 'bg': 1.78, 'ed': 1.9000000000000001}, {'w': '就', 'bg': 1.9000000000000001, 'ed': 2.06}, {'w': '是', 'bg': 2.06, 'ed': 2.62}, {'w': '给', 'bg': 2.62, 'ed': 3.16}, {'w': '我', 'bg': 3.16, 'ed': 3.3200000000000003}, {'w': '带', 'bg': 3.3200000000000003, 'ed': 3.48}, {'w': '来', 'bg': 3.48, 'ed': 3.62}, {'w': '了', 'bg': 3.62, 'ed': 3.7600000000000002}, {'w': '身', 'bg': 3.7600000000000002, 'ed': 3.9}, {'w': '体', 'bg': 3.9, 'ed': 4.0600000000000005}, {'w': '健', 'bg': 4.0600000000000005, 'ed': 4.26}, {'w': '康', 'bg': 4.26, 'ed': 4.96}]} - [2022-05-06 21:10:44,827] [ INFO] - audio duration: 4.9968125, elapsed time: 9.225094079971313, RTF=1.846195765794957 - [2022-05-06 21:10:44,828] [ INFO] - asr websocket client finished : 我认为跑步最重要的就是给我带来了身体健康 + ```bash + paddlespeech_client asr_online --help + ``` + + 参数: + - `server_ip`: 服务端ip地址，默认: 127.0.0.1。 + - `port`: 服务端口，默认: 8090。 + - `input`(必须输入): 用于识别的音频文件。 + - `sample_rate`: 音频采样率，默认值：16000。 + - `lang`: 模型语言，默认值：zh_cn。 + - `audio_format`: 音频格式，默认值：wav。 + - `punc.server_ip` 标点预测服务的ip。默认是None。 + - `punc.server_port` 标点预测服务的端口port。默认是None。 + + 输出: + ```text + [2022-05-06 21:10:35,598] [ INFO] - Start to do streaming asr client + [2022-05-06 21:10:35,600] [ INFO] - asr websocket client start + [2022-05-06 21:10:35,600] [ INFO] - endpoint: ws://127.0.0.1:8390/paddlespeech/asr/streaming + [2022-05-06 21:10:35,600] [ INFO] - start to process the wavscp: ./zh.wav + [2022-05-06 21:10:35,670] [ INFO] - client receive msg={"status": "ok", "signal": "server_ready"} + [2022-05-06 21:10:35,699] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:35,713] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:35,726] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:35,738] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:35,750] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:35,762] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:35,774] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:35,786] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:36,387] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:36,398] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:36,407] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:36,416] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:36,425] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:36,434] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:36,442] [ INFO] - client receive msg={'result': ''} + [2022-05-06 21:10:36,930] [ INFO] - client receive msg={'result': '我认为跑'} + [2022-05-06 21:10:36,938] [ INFO] - client receive msg={'result': '我认为跑'} + [2022-05-06 21:10:36,946] [ INFO] - client receive msg={'result': '我认为跑'} + [2022-05-06 21:10:36,954] [ INFO] - client receive msg={'result': '我认为跑'} + [2022-05-06 21:10:36,962] [ INFO] - client receive msg={'result': '我认为跑'} + [2022-05-06 21:10:36,970] [ INFO] - client receive msg={'result': '我认为跑'} + [2022-05-06 21:10:36,977] [ INFO] - client receive msg={'result': '我认为跑'} + [2022-05-06 21:10:36,985] [ INFO] - client receive msg={'result': '我认为跑'} + [2022-05-06 21:10:37,484] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} + [2022-05-06 21:10:37,492] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} + [2022-05-06 21:10:37,500] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} + [2022-05-06 21:10:37,508] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} + [2022-05-06 21:10:37,517] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} + [2022-05-06 21:10:37,525] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} + [2022-05-06 21:10:37,532] [ INFO] - client receive msg={'result': '我认为跑步最重要的'} + [2022-05-06 21:10:38,050] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} + [2022-05-06 21:10:38,058] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} + [2022-05-06 21:10:38,066] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} + [2022-05-06 21:10:38,073] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} + [2022-05-06 21:10:38,081] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} + [2022-05-06 21:10:38,089] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} + [2022-05-06 21:10:38,097] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} + [2022-05-06 21:10:38,105] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是'} + [2022-05-06 21:10:38,630] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} + [2022-05-06 21:10:38,639] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} + [2022-05-06 21:10:38,647] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} + [2022-05-06 21:10:38,655] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} + [2022-05-06 21:10:38,663] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} + [2022-05-06 21:10:38,671] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} + [2022-05-06 21:10:38,679] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给'} + [2022-05-06 21:10:39,216] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} + [2022-05-06 21:10:39,224] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} + [2022-05-06 21:10:39,232] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} + [2022-05-06 21:10:39,240] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} + [2022-05-06 21:10:39,248] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} + [2022-05-06 21:10:39,256] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} + [2022-05-06 21:10:39,264] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} + [2022-05-06 21:10:39,272] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了'} + [2022-05-06 21:10:39,885] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} + [2022-05-06 21:10:39,896] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} + [2022-05-06 21:10:39,905] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} + [2022-05-06 21:10:39,915] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} + [2022-05-06 21:10:39,924] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} + [2022-05-06 21:10:39,934] [ INFO] - client receive msg={'result': '我认为跑步最重要的就是给我带来了身体健康'} + [2022-05-06 21:10:44,827] [ INFO] - client final receive msg={'status': 'ok', 'signal': 'finished', 'result': '我认为跑步最重要的就是给我带来了身体健康', 'times': [{'w': '我', 'bg': 0.0, 'ed': 0.7000000000000001}, {'w': '认', 'bg': 0.7000000000000001, 'ed': 0.84}, {'w': '为', 'bg': 0.84, 'ed': 1.0}, {'w': '跑', 'bg': 1.0, 'ed': 1.18}, {'w': '步', 'bg': 1.18, 'ed': 1.36}, {'w': '最', 'bg': 1.36, 'ed': 1.5}, {'w': '重', 'bg': 1.5, 'ed': 1.6400000000000001}, {'w': '要', 'bg': 1.6400000000000001, 'ed': 1.78}, {'w': '的', 'bg': 1.78, 'ed': 1.9000000000000001}, {'w': '就', 'bg': 1.9000000000000001, 'ed': 2.06}, {'w': '是', 'bg': 2.06, 'ed': 2.62}, {'w': '给', 'bg': 2.62, 'ed': 3.16}, {'w': '我', 'bg': 3.16, 'ed': 3.3200000000000003}, {'w': '带', 'bg': 3.3200000000000003, 'ed': 3.48}, {'w': '来', 'bg': 3.48, 'ed': 3.62}, {'w': '了', 'bg': 3.62, 'ed': 3.7600000000000002}, {'w': '身', 'bg': 3.7600000000000002, 'ed': 3.9}, {'w': '体', 'bg': 3.9, 'ed': 4.0600000000000005}, {'w': '健', 'bg': 4.0600000000000005, 'ed': 4.26}, {'w': '康', 'bg': 4.26, 'ed': 4.96}]} + [2022-05-06 21:10:44,827] [ INFO] - audio duration: 4.9968125, elapsed time: 9.225094079971313, RTF=1.846195765794957 + [2022-05-06 21:10:44,828] [ INFO] - asr websocket client finished : 我认为跑步最重要的就是给我带来了身体健康 ``` - Python API @@ -234,7 +233,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav ``` 输出: - ```bash + ```text [2022-05-06 21:14:03,137] [ INFO] - asr websocket client start [2022-05-06 21:14:03,137] [ INFO] - endpoint: ws://127.0.0.1:8390/paddlespeech/asr/streaming [2022-05-06 21:14:03,149] [ INFO] - client receive msg={"status": "ok", "signal": "server_ready"} @@ -301,34 +300,29 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav [2022-05-06 21:14:12,159] [ INFO] - audio duration: 4.9968125, elapsed time: 9.019973039627075, RTF=1.8051453881103354 [2022-05-06 21:14:12,160] [ INFO] - asr websocket client finished ``` - - - ## 标点预测 ### 1. 服务端使用方法 - 命令行 **注意:** 默认部署在 `cpu` 设备上，可以通过修改服务配置文件中 `device` 参数部署在 `gpu` 上。 - ``` bash - 在 PaddleSpeech/demos/streaming_asr_server 目录下启动标点预测服务 + ```bash + # 在 PaddleSpeech/demos/streaming_asr_server 目录下启动标点预测服务 paddlespeech_server start --config_file conf/punc_application.yaml ``` - - 使用方法： - + 使用方法: ```bash paddlespeech_server start --help ``` - 参数： + 参数: - `config_file`: 服务的配置文件。 - `log_file`: log 文件。 - 输出： - ``` bash + 输出: + ```text [2022-05-02 17:59:26,285] [ INFO] - Create the TextEngine Instance [2022-05-02 17:59:26,285] [ INFO] - Init the text engine [2022-05-02 17:59:26,285] [ INFO] - Text Engine set the device: gpu:0 @@ -360,26 +354,26 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav log_file="./log/paddlespeech.log") ``` - 输出 - ``` - [2022-05-02 18:09:02,542] [ INFO] - Create the TextEngine Instance - [2022-05-02 18:09:02,543] [ INFO] - Init the text engine - [2022-05-02 18:09:02,543] [ INFO] - Text Engine set the device: gpu:0 - [2022-05-02 18:09:02,545] [ INFO] - File /home/users/xiongxinlei/.paddlespeech/models/ernie_linear_p3_wudao-punc-zh/ernie_linear_p3_wudao-punc-zh.tar.gz md5 checking... - [2022-05-02 18:09:06,919] [ INFO] - Use pretrained model stored in: /home/users/xiongxinlei/.paddlespeech/models/ernie_linear_p3_wudao-punc-zh/ernie_linear_p3_wudao-punc-zh.tar - W0502 18:09:07.523002 22615 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 6.1, Driver API Version: 10.2, Runtime API Version: 10.2 - W0502 18:09:07.527882 22615 device_context.cc:465] device: 0, cuDNN Version: 7.6. - [2022-05-02 18:09:10,900] [ INFO] - Already cached /home/users/xiongxinlei/.paddlenlp/models/ernie-1.0/vocab.txt - [2022-05-02 18:09:10,913] [ INFO] - Init the text engine successfully - INFO: Started server process [22615] - [2022-05-02 18:09:10] [INFO] [server.py:75] Started server process [22615] - INFO: Waiting for application startup. - [2022-05-02 18:09:10] [INFO] [on.py:45] Waiting for application startup. - INFO: Application startup complete. - [2022-05-02 18:09:10] [INFO] [on.py:59] Application startup complete. - INFO: Uvicorn running on http://0.0.0.0:8190 (Press CTRL+C to quit) - [2022-05-02 18:09:10] [INFO] [server.py:206] Uvicorn running on http://0.0.0.0:8190 (Press CTRL+C to quit) - ``` + 输出: + ```text + [2022-05-02 18:09:02,542] [ INFO] - Create the TextEngine Instance + [2022-05-02 18:09:02,543] [ INFO] - Init the text engine + [2022-05-02 18:09:02,543] [ INFO] - Text Engine set the device: gpu:0 + [2022-05-02 18:09:02,545] [ INFO] - File /home/users/xiongxinlei/.paddlespeech/models/ernie_linear_p3_wudao-punc-zh/ernie_linear_p3_wudao-punc-zh.tar.gz md5 checking... + [2022-05-02 18:09:06,919] [ INFO] - Use pretrained model stored in: /home/users/xiongxinlei/.paddlespeech/models/ernie_linear_p3_wudao-punc-zh/ernie_linear_p3_wudao-punc-zh.tar + W0502 18:09:07.523002 22615 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 6.1, Driver API Version: 10.2, Runtime API Version: 10.2 + W0502 18:09:07.527882 22615 device_context.cc:465] device: 0, cuDNN Version: 7.6. + [2022-05-02 18:09:10,900] [ INFO] - Already cached /home/users/xiongxinlei/.paddlenlp/models/ernie-1.0/vocab.txt + [2022-05-02 18:09:10,913] [ INFO] - Init the text engine successfully + INFO: Started server process [22615] + [2022-05-02 18:09:10] [INFO] [server.py:75] Started server process [22615] + INFO: Waiting for application startup. + [2022-05-02 18:09:10] [INFO] [on.py:45] Waiting for application startup. + INFO: Application startup complete. + [2022-05-02 18:09:10] [INFO] [on.py:59] Application startup complete. + INFO: Uvicorn running on http://0.0.0.0:8190 (Press CTRL+C to quit) + [2022-05-02 18:09:10] [INFO] [server.py:206] Uvicorn running on http://0.0.0.0:8190 (Press CTRL+C to quit) + ``` ### 2. 标点预测客户端使用方法 **注意：** 初次使用客户端时响应时间会略长 @@ -388,17 +382,17 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav 若 `127.0.0.1` 不能访问，则需要使用实际服务 IP 地址 - ``` - paddlespeech_client text --server_ip 127.0.0.1 --port 8190 --input "我认为跑步最重要的就是给我带来了身体健康" - ``` - - 输出 + ```bash + paddlespeech_client text --server_ip 127.0.0.1 --port 8190 --input "我认为跑步最重要的就是给我带来了身体健康" ``` + + 输出: + ```text [2022-05-02 18:12:29,767] [ INFO] - The punc text: 我认为跑步最重要的就是给我带来了身体健康。 [2022-05-02 18:12:29,767] [ INFO] - Response time 0.096548 s. ``` -- Python3 API +- Python API ```python from paddlespeech.server.bin.paddlespeech_client import TextClientExecutor @@ -411,12 +405,11 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav print(res) ``` - 输出： - ``` bash + 输出: + ```text 我认为跑步最重要的就是给我带来了身体健康。 ``` - ## 联合流式语音识别和标点预测 **注意:** 默认部署在 `cpu` 设备上，可以通过修改服务配置文件中 `device` 参数将语音识别和标点预测部署在不同的 `gpu` 上。 @@ -424,7 +417,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav ### 1. 启动服务 -``` bash +```bash 注意：流式语音识别和标点预测通过配置文件配置到不同的显卡上 bash server.sh ``` @@ -434,11 +427,11 @@ bash server.sh 若 `127.0.0.1` 不能访问，则需要使用实际服务 IP 地址 - ``` + ```bash paddlespeech_client asr_online --server_ip 127.0.0.1 --port 8290 --punc.server_ip 127.0.0.1 --punc.port 8190 --input ./zh.wav ``` - 输出： - ``` + 输出: + ```text [2022-05-07 11:21:47,060] [ INFO] - asr websocket client start [2022-05-07 11:21:47,060] [ INFO] - endpoint: ws://127.0.0.1:8490/paddlespeech/asr/streaming [2022-05-07 11:21:47,080] [ INFO] - client receive msg={"status": "ok", "signal": "server_ready"} @@ -512,11 +505,11 @@ bash server.sh 若 `127.0.0.1` 不能访问，则需要使用实际服务 IP 地址 - ``` + ```bash python3 websocket_client.py --server_ip 127.0.0.1 --port 8290 --punc.server_ip 127.0.0.1 --punc.port 8190 --wavfile ./zh.wav ``` - 输出： - ``` + 输出: + ```text [2022-05-07 11:11:02,984] [ INFO] - Start to do streaming asr client [2022-05-07 11:11:02,985] [ INFO] - asr websocket client start [2022-05-07 11:11:02,985] [ INFO] - endpoint: ws://127.0.0.1:8490/paddlespeech/asr/streaming @@ -585,5 +578,3 @@ bash server.sh [2022-05-07 11:11:18,915] [ INFO] - audio duration: 4.9968125, elapsed time: 15.928460597991943, RTF=3.187724293835709 [2022-05-07 11:11:18,916] [ INFO] - asr websocket client finished : 我认为跑步最重要的就是给我带来了身体健康 ``` - - diff --git a/demos/streaming_tts_server/README.md b/demos/streaming_tts_server/README.md index 53a33f3c8..15448a46f 100644 --- a/demos/streaming_tts_server/README.md +++ b/demos/streaming_tts_server/README.md @@ -9,7 +9,6 @@ For service interface definition, please check: - [PaddleSpeech Server RESTful API](https://github.com/PaddlePaddle/PaddleSpeech/wiki/PaddleSpeech-Server-RESTful-API) - [PaddleSpeech Streaming Server WebSocket API](https://github.com/PaddlePaddle/PaddleSpeech/wiki/PaddleSpeech-Server-WebSocket-API) - ## Usage ### 1. Installation see [installation](https://github.com/PaddlePaddle/PaddleSpeech/blob/develop/docs/source/install.md). @@ -34,11 +33,10 @@ The configuration file can be found in `conf/tts_online_application.yaml`. - Both hifigan and mb_melgan support streaming voc inference. - When the voc model is mb_melgan, when voc_pad=14, the synthetic audio for streaming inference is consistent with the non-streaming synthetic audio; the minimum voc_pad can be set to 7, and the synthetic audio has no abnormal hearing. If the voc_pad is less than 7, the synthetic audio sounds abnormal. - When the voc model is hifigan, when voc_pad=19, the streaming inference synthetic audio is consistent with the non-streaming synthetic audio; when voc_pad=14, the synthetic audio has no abnormal hearing. + - Pad calculation method of streaming vocoder in PaddleSpeech: [AIStudio tutorial](https://aistudio.baidu.com/aistudio/projectdetail/4151335) - Inference speed: mb_melgan > hifigan; Audio quality: mb_melgan < hifigan - **Note:** If the service can be started normally in the container, but the client access IP is unreachable, you can try to replace the `host` address in the configuration file with the local IP address. - - ### 3. Streaming speech synthesis server and client using http protocol #### 3.1 Server Usage - Command Line (Recommended) @@ -58,7 +56,7 @@ The configuration file can be found in `conf/tts_online_application.yaml`. - `log_file`: log file. Default: ./log/paddlespeech.log Output: - ```bash + ```text [2022-04-24 20:05:27,887] [ INFO] - The first response time of the 0 warm up: 1.0123658180236816 s [2022-04-24 20:05:28,038] [ INFO] - The first response time of the 1 warm up: 0.15108466148376465 s [2022-04-24 20:05:28,191] [ INFO] - The first response time of the 2 warm up: 0.15317344665527344 s @@ -84,8 +82,8 @@ The configuration file can be found in `conf/tts_online_application.yaml`. log_file="./log/paddlespeech.log") ``` - Output: - ```bash + Output: + ```text [2022-04-24 21:00:16,934] [ INFO] - The first response time of the 0 warm up: 1.268730878829956 s [2022-04-24 21:00:17,046] [ INFO] - The first response time of the 1 warm up: 0.11168622970581055 s [2022-04-24 21:00:17,151] [ INFO] - The first response time of the 2 warm up: 0.10413002967834473 s @@ -98,8 +96,6 @@ The configuration file can be found in `conf/tts_online_application.yaml`. [2022-04-24 21:00:17] [INFO] [on.py:59] Application startup complete. INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) [2022-04-24 21:00:17] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) - - ``` #### 3.2 Streaming TTS client Usage @@ -130,7 +126,7 @@ The configuration file can be found in `conf/tts_online_application.yaml`. - Currently, only the single-speaker model is supported in the code, so `spk_id` does not take effect. Streaming TTS does not support changing sample rate, variable speed and volume. Output: - ```bash + ```text [2022-04-24 21:08:18,559] [ INFO] - tts http client start [2022-04-24 21:08:21,702] [ INFO] - 句子：您好，欢迎使用百度飞桨语音合成服务。 [2022-04-24 21:08:21,703] [ INFO] - 首包响应：0.18863153457641602 s @@ -159,7 +155,7 @@ The configuration file can be found in `conf/tts_online_application.yaml`. ``` Output: - ```bash + ```text [2022-04-24 21:11:13,798] [ INFO] - tts http client start [2022-04-24 21:11:16,800] [ INFO] - 句子：您好，欢迎使用百度飞桨语音合成服务。 [2022-04-24 21:11:16,801] [ INFO] - 首包响应：0.18234872817993164 s @@ -169,7 +165,6 @@ The configuration file can be found in `conf/tts_online_application.yaml`. [2022-04-24 21:11:16,837] [ INFO] - 音频保存至：./output.wav ``` - ### 4. Streaming speech synthesis server and client using websocket protocol #### 4.1 Server Usage - Command Line (Recommended) @@ -189,21 +184,19 @@ The configuration file can be found in `conf/tts_online_application.yaml`. - `log_file`: log file. Default: ./log/paddlespeech.log Output: - ```bash - [2022-04-27 10:18:09,107] [ INFO] - The first response time of the 0 warm up: 1.1551103591918945 s - [2022-04-27 10:18:09,219] [ INFO] - The first response time of the 1 warm up: 0.11204338073730469 s - [2022-04-27 10:18:09,324] [ INFO] - The first response time of the 2 warm up: 0.1051797866821289 s - [2022-04-27 10:18:09,325] [ INFO] - ********************************************************************** - INFO: Started server process [17600] - [2022-04-27 10:18:09] [INFO] [server.py:75] Started server process [17600] - INFO: Waiting for application startup. - [2022-04-27 10:18:09] [INFO] [on.py:45] Waiting for application startup. - INFO: Application startup complete. - [2022-04-27 10:18:09] [INFO] [on.py:59] Application startup complete. - INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) - [2022-04-27 10:18:09] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) - - + ```text + [2022-04-27 10:18:09,107] [ INFO] - The first response time of the 0 warm up: 1.1551103591918945 s + [2022-04-27 10:18:09,219] [ INFO] - The first response time of the 1 warm up: 0.11204338073730469 s + [2022-04-27 10:18:09,324] [ INFO] - The first response time of the 2 warm up: 0.1051797866821289 s + [2022-04-27 10:18:09,325] [ INFO] - ********************************************************************** + INFO: Started server process [17600] + [2022-04-27 10:18:09] [INFO] [server.py:75] Started server process [17600] + INFO: Waiting for application startup. + [2022-04-27 10:18:09] [INFO] [on.py:45] Waiting for application startup. + INFO: Application startup complete. + [2022-04-27 10:18:09] [INFO] [on.py:59] Application startup complete. + INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) + [2022-04-27 10:18:09] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) ``` - Python API @@ -217,20 +210,19 @@ The configuration file can be found in `conf/tts_online_application.yaml`. ``` Output: - ```bash - [2022-04-27 10:20:16,660] [ INFO] - The first response time of the 0 warm up: 1.0945196151733398 s - [2022-04-27 10:20:16,773] [ INFO] - The first response time of the 1 warm up: 0.11222052574157715 s - [2022-04-27 10:20:16,878] [ INFO] - The first response time of the 2 warm up: 0.10494542121887207 s - [2022-04-27 10:20:16,878] [ INFO] - ********************************************************************** - INFO: Started server process [23466] - [2022-04-27 10:20:16] [INFO] [server.py:75] Started server process [23466] - INFO: Waiting for application startup. - [2022-04-27 10:20:16] [INFO] [on.py:45] Waiting for application startup. - INFO: Application startup complete. - [2022-04-27 10:20:16] [INFO] [on.py:59] Application startup complete. - INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) - [2022-04-27 10:20:16] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) - + ```text + [2022-04-27 10:20:16,660] [ INFO] - The first response time of the 0 warm up: 1.0945196151733398 s + [2022-04-27 10:20:16,773] [ INFO] - The first response time of the 1 warm up: 0.11222052574157715 s + [2022-04-27 10:20:16,878] [ INFO] - The first response time of the 2 warm up: 0.10494542121887207 s + [2022-04-27 10:20:16,878] [ INFO] - ********************************************************************** + INFO: Started server process [23466] + [2022-04-27 10:20:16] [INFO] [server.py:75] Started server process [23466] + INFO: Waiting for application startup. + [2022-04-27 10:20:16] [INFO] [on.py:45] Waiting for application startup. + INFO: Application startup complete. + [2022-04-27 10:20:16] [INFO] [on.py:59] Application startup complete. + INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) + [2022-04-27 10:20:16] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) ``` #### 4.2 Streaming TTS client Usage @@ -263,7 +255,7 @@ The configuration file can be found in `conf/tts_online_application.yaml`. Output: - ```bash + ```text [2022-04-27 10:21:04,262] [ INFO] - tts websocket client start [2022-04-27 10:21:04,496] [ INFO] - 句子：您好，欢迎使用百度飞桨语音合成服务。 [2022-04-27 10:21:04,496] [ INFO] - 首包响应：0.2124948501586914 s @@ -271,7 +263,6 @@ The configuration file can be found in `conf/tts_online_application.yaml`. [2022-04-27 10:21:07,484] [ INFO] - 音频时长：3.825 s [2022-04-27 10:21:07,484] [ INFO] - RTF: 0.8363677006141812 [2022-04-27 10:21:07,516] [ INFO] - 音频保存至：output.wav - ``` - Python API @@ -288,21 +279,15 @@ The configuration file can be found in `conf/tts_online_application.yaml`. spk_id=0, output="./output.wav", play=False) - ``` Output: - ```bash - [2022-04-27 10:22:48,852] [ INFO] - tts websocket client start - [2022-04-27 10:22:49,080] [ INFO] - 句子：您好，欢迎使用百度飞桨语音合成服务。 - [2022-04-27 10:22:49,080] [ INFO] - 首包响应：0.21017956733703613 s - [2022-04-27 10:22:52,100] [ INFO] - 尾包响应：3.2304444313049316 s - [2022-04-27 10:22:52,101] [ INFO] - 音频时长：3.825 s - [2022-04-27 10:22:52,101] [ INFO] - RTF: 0.8445606356352762 - [2022-04-27 10:22:52,134] [ INFO] - 音频保存至：./output.wav - + ```text + [2022-04-27 10:22:48,852] [ INFO] - tts websocket client start + [2022-04-27 10:22:49,080] [ INFO] - 句子：您好，欢迎使用百度飞桨语音合成服务。 + [2022-04-27 10:22:49,080] [ INFO] - 首包响应：0.21017956733703613 s + [2022-04-27 10:22:52,100] [ INFO] - 尾包响应：3.2304444313049316 s + [2022-04-27 10:22:52,101] [ INFO] - 音频时长：3.825 s + [2022-04-27 10:22:52,101] [ INFO] - RTF: 0.8445606356352762 + [2022-04-27 10:22:52,134] [ INFO] - 音频保存至：./output.wav ``` - - - - diff --git a/demos/streaming_tts_server/README_cn.md b/demos/streaming_tts_server/README_cn.md index 560791a9f..b99155bca 100644 --- a/demos/streaming_tts_server/README_cn.md +++ b/demos/streaming_tts_server/README_cn.md @@ -18,7 +18,6 @@ **如果使用简单模式安装，需要自行准备 yaml 文件，可参考 conf 目录下的 yaml 文件。** - ### 2. 准备配置文件 配置文件可参见 `conf/tts_online_application.yaml` 。 - `protocol` 表示该流式 TTS 服务使用的网络协议，目前支持 **http 和 websocket** 两种。 @@ -33,6 +32,7 @@ - hifigan, mb_melgan 均支持流式 voc 推理 - 当 voc 模型为 mb_melgan，当 voc_pad=14 时，流式推理合成音频与非流式合成音频一致；voc_pad 最小可以设置为7，合成音频听感上没有异常，若 voc_pad 小于7，合成音频听感上存在异常。 - 当 voc 模型为 hifigan，当 voc_pad=19 时，流式推理合成音频与非流式合成音频一致；当 voc_pad=14 时，合成音频听感上没有异常。 + - PaddleSpeech 中流式声码器 Pad 计算方法: [AIStudio 教程](https://aistudio.baidu.com/aistudio/projectdetail/4151335) - 推理速度：mb_melgan > hifigan; 音频质量：mb_melgan < hifigan - **注意：** 如果在容器里可正常启动服务，但客户端访问 ip 不可达，可尝试将配置文件中 `host` 地址换成本地 ip 地址。 @@ -56,7 +56,7 @@ - `log_file`: log 文件. 默认：./log/paddlespeech.log 输出: - ```bash + ```text [2022-04-24 20:05:27,887] [ INFO] - The first response time of the 0 warm up: 1.0123658180236816 s [2022-04-24 20:05:28,038] [ INFO] - The first response time of the 1 warm up: 0.15108466148376465 s [2022-04-24 20:05:28,191] [ INFO] - The first response time of the 2 warm up: 0.15317344665527344 s @@ -81,8 +81,8 @@ log_file="./log/paddlespeech.log") ``` - 输出： - ```bash + 输出: + ```text [2022-04-24 21:00:16,934] [ INFO] - The first response time of the 0 warm up: 1.268730878829956 s [2022-04-24 21:00:17,046] [ INFO] - The first response time of the 1 warm up: 0.11168622970581055 s [2022-04-24 21:00:17,151] [ INFO] - The first response time of the 2 warm up: 0.10413002967834473 s @@ -126,7 +126,7 @@ 输出: - ```bash + ```text [2022-04-24 21:08:18,559] [ INFO] - tts http client start [2022-04-24 21:08:21,702] [ INFO] - 句子：您好，欢迎使用百度飞桨语音合成服务。 [2022-04-24 21:08:21,703] [ INFO] - 首包响应：0.18863153457641602 s @@ -184,20 +184,19 @@ - `log_file`: log 文件. 默认：./log/paddlespeech.log 输出: - ```bash - [2022-04-27 10:18:09,107] [ INFO] - The first response time of the 0 warm up: 1.1551103591918945 s - [2022-04-27 10:18:09,219] [ INFO] - The first response time of the 1 warm up: 0.11204338073730469 s - [2022-04-27 10:18:09,324] [ INFO] - The first response time of the 2 warm up: 0.1051797866821289 s - [2022-04-27 10:18:09,325] [ INFO] - ********************************************************************** - INFO: Started server process [17600] - [2022-04-27 10:18:09] [INFO] [server.py:75] Started server process [17600] - INFO: Waiting for application startup. - [2022-04-27 10:18:09] [INFO] [on.py:45] Waiting for application startup. - INFO: Application startup complete. - [2022-04-27 10:18:09] [INFO] [on.py:59] Application startup complete. - INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) - [2022-04-27 10:18:09] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) - + ```text + [2022-04-27 10:18:09,107] [ INFO] - The first response time of the 0 warm up: 1.1551103591918945 s + [2022-04-27 10:18:09,219] [ INFO] - The first response time of the 1 warm up: 0.11204338073730469 s + [2022-04-27 10:18:09,324] [ INFO] - The first response time of the 2 warm up: 0.1051797866821289 s + [2022-04-27 10:18:09,325] [ INFO] - ********************************************************************** + INFO: Started server process [17600] + [2022-04-27 10:18:09] [INFO] [server.py:75] Started server process [17600] + INFO: Waiting for application startup. + [2022-04-27 10:18:09] [INFO] [on.py:45] Waiting for application startup. + INFO: Application startup complete. + [2022-04-27 10:18:09] [INFO] [on.py:59] Application startup complete. + INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) + [2022-04-27 10:18:09] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) ``` - Python API @@ -210,21 +209,20 @@ log_file="./log/paddlespeech.log") ``` - 输出： - ```bash - [2022-04-27 10:20:16,660] [ INFO] - The first response time of the 0 warm up: 1.0945196151733398 s - [2022-04-27 10:20:16,773] [ INFO] - The first response time of the 1 warm up: 0.11222052574157715 s - [2022-04-27 10:20:16,878] [ INFO] - The first response time of the 2 warm up: 0.10494542121887207 s - [2022-04-27 10:20:16,878] [ INFO] - ********************************************************************** - INFO: Started server process [23466] - [2022-04-27 10:20:16] [INFO] [server.py:75] Started server process [23466] - INFO: Waiting for application startup. - [2022-04-27 10:20:16] [INFO] [on.py:45] Waiting for application startup. - INFO: Application startup complete. - [2022-04-27 10:20:16] [INFO] [on.py:59] Application startup complete. - INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) - [2022-04-27 10:20:16] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) - + 输出: + ```text + [2022-04-27 10:20:16,660] [ INFO] - The first response time of the 0 warm up: 1.0945196151733398 s + [2022-04-27 10:20:16,773] [ INFO] - The first response time of the 1 warm up: 0.11222052574157715 s + [2022-04-27 10:20:16,878] [ INFO] - The first response time of the 2 warm up: 0.10494542121887207 s + [2022-04-27 10:20:16,878] [ INFO] - ********************************************************************** + INFO: Started server process [23466] + [2022-04-27 10:20:16] [INFO] [server.py:75] Started server process [23466] + INFO: Waiting for application startup. + [2022-04-27 10:20:16] [INFO] [on.py:45] Waiting for application startup. + INFO: Application startup complete. + [2022-04-27 10:20:16] [INFO] [on.py:59] Application startup complete. + INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) + [2022-04-27 10:20:16] [INFO] [server.py:211] Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit) ``` #### 4.2 客户端使用方法 @@ -256,7 +254,7 @@ 输出: - ```bash + ```text [2022-04-27 10:21:04,262] [ INFO] - tts websocket client start [2022-04-27 10:21:04,496] [ INFO] - 句子：您好，欢迎使用百度飞桨语音合成服务。 [2022-04-27 10:21:04,496] [ INFO] - 首包响应：0.2124948501586914 s @@ -264,7 +262,6 @@ [2022-04-27 10:21:07,484] [ INFO] - 音频时长：3.825 s [2022-04-27 10:21:07,484] [ INFO] - RTF: 0.8363677006141812 [2022-04-27 10:21:07,516] [ INFO] - 音频保存至：output.wav - ``` - Python API @@ -281,11 +278,10 @@ spk_id=0, output="./output.wav", play=False) - ``` 输出: - ```bash + ```text [2022-04-27 10:22:48,852] [ INFO] - tts websocket client start [2022-04-27 10:22:49,080] [ INFO] - 句子：您好，欢迎使用百度飞桨语音合成服务。 [2022-04-27 10:22:49,080] [ INFO] - 首包响应：0.21017956733703613 s @@ -293,5 +289,4 @@ [2022-04-27 10:22:52,101] [ INFO] - 音频时长：3.825 s [2022-04-27 10:22:52,101] [ INFO] - RTF: 0.8445606356352762 [2022-04-27 10:22:52,134] [ INFO] - 音频保存至：./output.wav - - ``` \ No newline at end of file + ``` From 9d4161ce5ffa8e6c6b6ce1f7b0ce56d65e184311 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Wed, 27 Jul 2022 04:11:11 +0000 Subject: [PATCH 146/192] update config, test=doc --- examples/aishell3/ernie_sat/conf/default.yaml | 6 +- .../aishell3_vctk/ernie_sat/conf/default.yaml | 6 +- examples/vctk/ernie_sat/conf/default.yaml | 4 +- paddlespeech/t2s/exps/ernie_sat/align.py | 386 ++++++++++++++++++ .../t2s/exps/ernie_sat/synthesize_e2e.py | 346 ++++++++++++++++ paddlespeech/t2s/exps/ernie_sat/utils.py | 216 ++++++++++ 6 files changed, 956 insertions(+), 8 deletions(-) create mode 100755 paddlespeech/t2s/exps/ernie_sat/align.py create mode 100644 paddlespeech/t2s/exps/ernie_sat/synthesize_e2e.py create mode 100644 paddlespeech/t2s/exps/ernie_sat/utils.py diff --git a/examples/aishell3/ernie_sat/conf/default.yaml b/examples/aishell3/ernie_sat/conf/default.yaml index d8993e86f..fdc767fb0 100644 --- a/examples/aishell3/ernie_sat/conf/default.yaml +++ b/examples/aishell3/ernie_sat/conf/default.yaml @@ -79,13 +79,13 @@ grad_clip: 1.0 ########################################################### # TRAINING SETTING # ########################################################### -max_epoch: 600 -num_snapshots: 5 +max_epoch: 1500 +num_snapshots: 50 ########################################################### # OTHER SETTING # ########################################################### -seed: 10086 +seed: 0 token_list: - diff --git a/examples/aishell3_vctk/ernie_sat/conf/default.yaml b/examples/aishell3_vctk/ernie_sat/conf/default.yaml index 745a5b840..abb69fcc0 100644 --- a/examples/aishell3_vctk/ernie_sat/conf/default.yaml +++ b/examples/aishell3_vctk/ernie_sat/conf/default.yaml @@ -79,13 +79,13 @@ grad_clip: 1.0 ########################################################### # TRAINING SETTING # ########################################################### -max_epoch: 300 -num_snapshots: 5 +max_epoch: 700 +num_snapshots: 50 ########################################################### # OTHER SETTING # ########################################################### -seed: 10086 +seed: 0 token_list: - diff --git a/examples/vctk/ernie_sat/conf/default.yaml b/examples/vctk/ernie_sat/conf/default.yaml index b61c81703..672f937ef 100644 --- a/examples/vctk/ernie_sat/conf/default.yaml +++ b/examples/vctk/ernie_sat/conf/default.yaml @@ -79,8 +79,8 @@ grad_clip: 1.0 ########################################################### # TRAINING SETTING # ########################################################### -max_epoch: 600 -num_snapshots: 5 +max_epoch: 1500 +num_snapshots: 50 ########################################################### # OTHER SETTING # diff --git a/paddlespeech/t2s/exps/ernie_sat/align.py b/paddlespeech/t2s/exps/ernie_sat/align.py new file mode 100755 index 000000000..529a8221c --- /dev/null +++ b/paddlespeech/t2s/exps/ernie_sat/align.py @@ -0,0 +1,386 @@ +# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import os +import shutil +from pathlib import Path + +import librosa +import numpy as np +import pypinyin +from praatio import textgrid +from paddlespeech.t2s.exps.ernie_sat.utils import get_tmp_name +from paddlespeech.t2s.exps.ernie_sat.utils import get_dict + + +DICT_EN = 'tools/aligner/cmudict-0.7b' +DICT_ZH = 'tools/aligner/simple.lexicon' +MODEL_DIR_EN = 'tools/aligner/vctk_model.zip' +MODEL_DIR_ZH = 'tools/aligner/aishell3_model.zip' +MFA_PATH = 'tools/montreal-forced-aligner/bin' +os.environ['PATH'] = MFA_PATH + '/:' + os.environ['PATH'] + +def _get_max_idx(dic): + return sorted([int(key.split('_')[0]) for key in dic.keys()])[-1] + + +def _readtg(tg_path: str, lang: str='en', fs: int=24000, n_shift: int=300): + alignment = textgrid.openTextgrid(tg_path, includeEmptyIntervals=True) + phones = [] + ends = [] + words = [] + + for interval in alignment.tierDict['words'].entryList: + word = interval.label + if word: + words.append(word) + for interval in alignment.tierDict['phones'].entryList: + phone = interval.label + phones.append(phone) + ends.append(interval.end) + frame_pos = librosa.time_to_frames(ends, sr=fs, hop_length=n_shift) + durations = np.diff(frame_pos, prepend=0) + assert len(durations) == len(phones) + # merge '' and sp in the end + if phones[-1] == '' and len(phones) > 1 and phones[-2] == 'sp': + phones = phones[:-1] + durations[-2] += durations[-1] + durations = durations[:-1] + + # replace ' and 'sil' with 'sp' + phones = ['sp' if (phn == '' or phn == 'sil') else phn for phn in phones] + + if lang == 'en': + DICT = DICT_EN + + elif lang == 'zh': + DICT = DICT_ZH + + word2phns_dict = get_dict(DICT) + + phn2word_dict = [] + for word in words: + if lang == 'en': + word = word.upper() + phn2word_dict.append([word2phns_dict[word].split(), word]) + + non_sp_idx = 0 + word_idx = 0 + i = 0 + word2phns = {} + while i < len(phones): + phn = phones[i] + if phn == 'sp': + word2phns[str(word_idx) + '_sp'] = ['sp'] + i += 1 + else: + phns, word = phn2word_dict[non_sp_idx] + word2phns[str(word_idx) + '_' + word] = phns + non_sp_idx += 1 + i += len(phns) + word_idx += 1 + sum_phn = sum(len(word2phns[k]) for k in word2phns) + assert sum_phn == len(phones) + + results = '' + for (p, d) in zip(phones, durations): + results += p + ' ' + str(d) + ' ' + return results.strip(), word2phns + + +def alignment(wav_path: str, + text: str, + fs: int=24000, + lang='en', + n_shift: int=300): + wav_name = os.path.basename(wav_path) + utt = wav_name.split('.')[0] + # prepare data for MFA + tmp_name = get_tmp_name(text=text) + tmpbase = './tmp_dir/' + tmp_name + tmpbase = Path(tmpbase) + tmpbase.mkdir(parents=True, exist_ok=True) + print("tmp_name in alignment:",tmp_name) + + shutil.copyfile(wav_path, tmpbase / wav_name) + txt_name = utt + '.txt' + txt_path = tmpbase / txt_name + with open(txt_path, 'w') as wf: + wf.write(text + '\n') + # MFA + if lang == 'en': + DICT = DICT_EN + MODEL_DIR = MODEL_DIR_EN + + elif lang == 'zh': + DICT = DICT_ZH + MODEL_DIR = MODEL_DIR_ZH + else: + print('please input right lang!!') + + CMD = 'mfa_align' + ' ' + str( + tmpbase) + ' ' + DICT + ' ' + MODEL_DIR + ' ' + str(tmpbase) + os.system(CMD) + tg_path = str(tmpbase) + '/' + tmp_name + '/' + utt + '.TextGrid' + phn_dur, word2phns = _readtg(tg_path, lang=lang) + phn_dur = phn_dur.split() + phns = phn_dur[::2] + durs = phn_dur[1::2] + durs = [int(d) for d in durs] + assert len(phns) == len(durs) + return phns, durs, word2phns + + +def words2phns(text: str, lang='en'): + ''' + Args: + text (str): + input text. + eg: for that reason cover is impossible to be given. + lang (str): + 'en' or 'zh' + Returns: + List[str]: phones of input text. + eg: + ['F', 'AO1', 'R', 'DH', 'AE1', 'T', 'R', 'IY1', 'Z', 'AH0', 'N', 'K', 'AH1', 'V', 'ER0', + 'IH1', 'Z', 'IH2', 'M', 'P', 'AA1', 'S', 'AH0', 'B', 'AH0', 'L', 'T', 'UW1', 'B', 'IY1', + 'G', 'IH1', 'V', 'AH0', 'N'] + + Dict(str, str): key - idx_word + value - phones + eg: + {'0_FOR': ['F', 'AO1', 'R'], '1_THAT': ['DH', 'AE1', 'T'], + '2_REASON': ['R', 'IY1', 'Z', 'AH0', 'N'],'3_COVER': ['K', 'AH1', 'V', 'ER0'], '4_IS': ['IH1', 'Z'], + '5_IMPOSSIBLE': ['IH2', 'M', 'P', 'AA1', 'S', 'AH0', 'B', 'AH0', 'L'], + '6_TO': ['T', 'UW1'], '7_BE': ['B', 'IY1'], '8_GIVEN': ['G', 'IH1', 'V', 'AH0', 'N']} + ''' + text = text.strip() + words = [] + for pun in [ + ',', '.', ':', ';', '!', '?', '"', '(', ')', '--', '---', u'，', + u'。', u'：', u'；', u'！', u'？', u'（', u'）' + ]: + text = text.replace(pun, ' ') + for wrd in text.split(): + if (wrd[-1] == '-'): + wrd = wrd[:-1] + if (wrd[0] == "'"): + wrd = wrd[1:] + if wrd: + words.append(wrd) + if lang == 'en': + dictfile = DICT_EN + elif lang == 'zh': + dictfile = DICT_ZH + else: + print('please input right lang!!') + + word2phns_dict = get_dict(dictfile) + ds = word2phns_dict.keys() + phns = [] + wrd2phns = {} + for index, wrd in enumerate(words): + if lang == 'en': + wrd = wrd.upper() + if (wrd not in ds): + wrd2phns[str(index) + '_' + wrd] = 'spn' + phns.extend('spn') + else: + wrd2phns[str(index) + '_' + wrd] = word2phns_dict[wrd].split() + phns.extend(word2phns_dict[wrd].split()) + return phns, wrd2phns + + +def get_phns_spans(wav_path: str, + old_str: str='', + new_str: str='', + source_lang: str='en', + target_lang: str='en', + fs: int=24000, + n_shift: int=300): + is_append = (old_str == new_str[:len(old_str)]) + old_phns, mfa_start, mfa_end = [], [], [] + # source + lang = source_lang + phn, dur, w2p = alignment( + wav_path=wav_path, text=old_str, lang=lang, fs=fs, n_shift=n_shift) + + new_d_cumsum = np.pad(np.array(dur).cumsum(0), (1, 0), 'constant').tolist() + mfa_start = new_d_cumsum[:-1] + mfa_end = new_d_cumsum[1:] + old_phns = phn + + # target + if is_append and (source_lang != target_lang): + cross_lingual_clone = True + else: + cross_lingual_clone = False + + if cross_lingual_clone: + str_origin = new_str[:len(old_str)] + str_append = new_str[len(old_str):] + + if target_lang == 'zh': + phns_origin, origin_w2p = words2phns(str_origin, lang='en') + phns_append, append_w2p_tmp = words2phns(str_append, lang='zh') + elif target_lang == 'en': + # 原始句子 + phns_origin, origin_w2p = words2phns(str_origin, lang='zh') + # clone 句子 + phns_append, append_w2p_tmp = words2phns(str_append, lang='en') + else: + assert target_lang == 'zh' or target_lang == 'en', \ + 'cloning is not support for this language, please check it.' + + new_phns = phns_origin + phns_append + + append_w2p = {} + length = len(origin_w2p) + for key, value in append_w2p_tmp.items(): + idx, wrd = key.split('_') + append_w2p[str(int(idx) + length) + '_' + wrd] = value + new_w2p = origin_w2p.copy() + new_w2p.update(append_w2p) + + else: + if source_lang == target_lang: + new_phns, new_w2p = words2phns(new_str, lang=source_lang) + else: + assert source_lang == target_lang, \ + 'source language is not same with target language...' + + span_to_repl = [0, len(old_phns) - 1] + span_to_add = [0, len(new_phns) - 1] + left_idx = 0 + new_phns_left = [] + sp_count = 0 + # find the left different index + # 因为可能 align 时候的 words2phns 和直接 words2phns, 前者会有 sp？ + for key in w2p.keys(): + idx, wrd = key.split('_') + if wrd == 'sp': + sp_count += 1 + new_phns_left.append('sp') + else: + idx = str(int(idx) - sp_count) + if idx + '_' + wrd in new_w2p: + # 是 new_str phn 序列的 index + left_idx += len(new_w2p[idx + '_' + wrd]) + # old phn 序列 + new_phns_left.extend(w2p[key]) + else: + span_to_repl[0] = len(new_phns_left) + span_to_add[0] = len(new_phns_left) + break + + # reverse w2p and new_w2p + right_idx = 0 + new_phns_right = [] + sp_count = 0 + w2p_max_idx = _get_max_idx(w2p) + new_w2p_max_idx = _get_max_idx(new_w2p) + new_phns_mid = [] + if is_append: + new_phns_right = [] + new_phns_mid = new_phns[left_idx:] + span_to_repl[0] = len(new_phns_left) + span_to_add[0] = len(new_phns_left) + span_to_add[1] = len(new_phns_left) + len(new_phns_mid) + span_to_repl[1] = len(old_phns) - len(new_phns_right) + # speech edit + else: + for key in list(w2p.keys())[::-1]: + idx, wrd = key.split('_') + if wrd == 'sp': + sp_count += 1 + new_phns_right = ['sp'] + new_phns_right + else: + idx = str(new_w2p_max_idx - (w2p_max_idx - int(idx) - sp_count)) + if idx + '_' + wrd in new_w2p: + right_idx -= len(new_w2p[idx + '_' + wrd]) + new_phns_right = w2p[key] + new_phns_right + else: + span_to_repl[1] = len(old_phns) - len(new_phns_right) + new_phns_mid = new_phns[left_idx:right_idx] + span_to_add[1] = len(new_phns_left) + len(new_phns_mid) + if len(new_phns_mid) == 0: + span_to_add[1] = min(span_to_add[1] + 1, len(new_phns)) + span_to_add[0] = max(0, span_to_add[0] - 1) + span_to_repl[0] = max(0, span_to_repl[0] - 1) + span_to_repl[1] = min(span_to_repl[1] + 1, + len(old_phns)) + break + new_phns = new_phns_left + new_phns_mid + new_phns_right + ''' + For that reason cover should not be given. + For that reason cover is impossible to be given. + span_to_repl: [17, 23] "should not" + span_to_add: [17, 30] "is impossible to" + ''' + outs = {} + outs['mfa_start'] = mfa_start + outs['mfa_end'] = mfa_end + outs['old_phns'] = old_phns + outs['new_phns'] = new_phns + outs['span_to_repl'] = span_to_repl + outs['span_to_add'] = span_to_add + + return outs + + +if __name__ == '__main__': + text = "For that reason cover should not be given." + phn, dur, word2phns = alignment("exp/p243_313.wav", text, lang='en') + print(phn, dur) + print(word2phns) + print("---------------------------------") + # 这里可以用我们的中文前端得到 pinyin 序列 + text_zh = "卡尔普陪外孙玩滑梯。" + text_zh = pypinyin.lazy_pinyin( + text_zh, + neutral_tone_with_five=True, + style=pypinyin.Style.TONE3, + tone_sandhi=True) + text_zh = " ".join(text_zh) + phn, dur, word2phns = alignment("exp/000001.wav", text_zh, lang='zh') + print(phn, dur) + print(word2phns) + print("---------------------------------") + phns, wrd2phns = words2phns(text, lang='en') + print("phns:", phns) + print("wrd2phns:", wrd2phns) + print("---------------------------------") + + phns, wrd2phns = words2phns(text_zh, lang='zh') + print("phns:", phns) + print("wrd2phns:", wrd2phns) + print("---------------------------------") + + outs = get_phns_spans( + wav_path="exp/p243_313.wav", + old_str="For that reason cover should not be given.", + new_str="for that reason cover is impossible to be given.") + + mfa_start = outs["mfa_start"] + mfa_end = outs["mfa_end"] + old_phns = outs["old_phns"] + new_phns = outs["new_phns"] + span_to_repl = outs["span_to_repl"] + span_to_add = outs["span_to_add"] + print("mfa_start:", mfa_start) + print("mfa_end:", mfa_end) + print("old_phns:", old_phns) + print("new_phns:", new_phns) + print("span_to_repl:", span_to_repl) + print("span_to_add:", span_to_add) + print("---------------------------------") diff --git a/paddlespeech/t2s/exps/ernie_sat/synthesize_e2e.py b/paddlespeech/t2s/exps/ernie_sat/synthesize_e2e.py new file mode 100644 index 000000000..95b07367c --- /dev/null +++ b/paddlespeech/t2s/exps/ernie_sat/synthesize_e2e.py @@ -0,0 +1,346 @@ +# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import librosa +import numpy as np +import soundfile as sf + +from paddlespeech.t2s.exps.ernie_sat.align import get_phns_spans +from paddlespeech.t2s.exps.ernie_sat.utils import eval_durs +from paddlespeech.t2s.exps.ernie_sat.utils import get_dur_adj_factor +from paddlespeech.t2s.exps.ernie_sat.utils import get_span_bdy +from paddlespeech.t2s.datasets.am_batch_fn import build_erniesat_collate_fn +from paddlespeech.t2s.exps.syn_utils import get_frontend +from paddlespeech.t2s.datasets.get_feats import LogMelFBank +from paddlespeech.t2s.exps.syn_utils import norm +from paddlespeech.t2s.exps.ernie_sat.utils import get_tmp_name + + + + + + +def _p2id(self, phonemes: List[str]) -> np.ndarray: + # replace unk phone with sp + phonemes = [ + phn if phn in vocab_phones else "sp" for phn in phonemes + ] + phone_ids = [vocab_phones[item] for item in phonemes] + return np.array(phone_ids, np.int64) + + + +def prep_feats_with_dur(wav_path: str, + old_str: str='', + new_str: str='', + source_lang: str='en', + target_lang: str='en', + duration_adjust: bool=True, + fs: int=24000, + n_shift: int=300): + ''' + Returns: + np.ndarray: new wav, replace the part to be edited in original wav with 0 + List[str]: new phones + List[float]: mfa start of new wav + List[float]: mfa end of new wav + List[int]: masked mel boundary of original wav + List[int]: masked mel boundary of new wav + ''' + wav_org, _ = librosa.load(wav_path, sr=fs) + phns_spans_outs = get_phns_spans( + wav_path=wav_path, + old_str=old_str, + new_str=new_str, + source_lang=source_lang, + target_lang=target_lang, + fs=fs, + n_shift=n_shift) + + mfa_start = phns_spans_outs["mfa_start"] + mfa_end = phns_spans_outs["mfa_end"] + old_phns = phns_spans_outs["old_phns"] + new_phns = phns_spans_outs["new_phns"] + span_to_repl = phns_spans_outs["span_to_repl"] + span_to_add = phns_spans_outs["span_to_add"] + + # 中文的 phns 不一定都在 fastspeech2 的字典里, 用 sp 代替 + if target_lang in {'en', 'zh'}: + old_durs = eval_durs(old_phns, target_lang=source_lang) + else: + assert target_lang in {'en', 'zh'}, \ + "calculate duration_predict is not support for this language..." + + orig_old_durs = [e - s for e, s in zip(mfa_end, mfa_start)] + + if duration_adjust: + d_factor = get_dur_adj_factor( + orig_dur=orig_old_durs, pred_dur=old_durs, phns=old_phns) + d_factor = d_factor * 1.25 + else: + d_factor = 1 + + if target_lang in {'en', 'zh'}: + new_durs = eval_durs(new_phns, target_lang=target_lang) + else: + assert target_lang == "zh" or target_lang == "en", \ + "calculate duration_predict is not support for this language..." + + # duration 要是整数 + new_durs_adjusted = [int(np.ceil(d_factor * i)) for i in new_durs] + + new_span_dur_sum = sum(new_durs_adjusted[span_to_add[0]:span_to_add[1]]) + old_span_dur_sum = sum(orig_old_durs[span_to_repl[0]:span_to_repl[1]]) + dur_offset = new_span_dur_sum - old_span_dur_sum + new_mfa_start = mfa_start[:span_to_repl[0]] + new_mfa_end = mfa_end[:span_to_repl[0]] + + for dur in new_durs_adjusted[span_to_add[0]:span_to_add[1]]: + if len(new_mfa_end) == 0: + new_mfa_start.append(0) + new_mfa_end.append(dur) + else: + new_mfa_start.append(new_mfa_end[-1]) + new_mfa_end.append(new_mfa_end[-1] + dur) + + new_mfa_start += [i + dur_offset for i in mfa_start[span_to_repl[1]:]] + new_mfa_end += [i + dur_offset for i in mfa_end[span_to_repl[1]:]] + + # 3. get new wav + # 在原始句子后拼接 + if span_to_repl[0] >= len(mfa_start): + wav_left_idx = len(wav_org) + wav_right_idx = wav_left_idx + # 在原始句子中间替换 + else: + wav_left_idx = int(np.floor(mfa_start[span_to_repl[0]] * n_shift)) + wav_right_idx = int(np.ceil(mfa_end[span_to_repl[1] - 1] * n_shift)) + blank_wav = np.zeros( + (int(np.ceil(new_span_dur_sum * n_shift)), ), dtype=wav_org.dtype) + # 原始音频，需要编辑的部分替换成空音频，空音频的时间由 fs2 的 duration_predictor 决定 + new_wav = np.concatenate( + [wav_org[:wav_left_idx], blank_wav, wav_org[wav_right_idx:]]) + + # 音频是正常遮住了 + sf.write(str("new_wav.wav"), new_wav, samplerate=fs) + + # 4. get old and new mel span to be mask + old_span_bdy = get_span_bdy( + mfa_start=mfa_start, mfa_end=mfa_end, span_to_repl=span_to_repl) + + new_span_bdy = get_span_bdy( + mfa_start=new_mfa_start, mfa_end=new_mfa_end, span_to_repl=span_to_add) + + # old_span_bdy, new_span_bdy 是帧级别的范围 + outs = {} + outs['new_wav'] = new_wav + outs['new_phns'] = new_phns + outs['new_mfa_start'] = new_mfa_start + outs['new_mfa_end'] = new_mfa_end + outs['old_span_bdy'] = old_span_bdy + outs['new_span_bdy'] = new_span_bdy + return outs + + + + +def prep_feats(wav_path: str, + old_str: str='', + new_str: str='', + source_lang: str='en', + target_lang: str='en', + duration_adjust: bool=True, + fs: int=24000, + n_shift: int=300): + + outs = prep_feats_with_dur( + wav_path=wav_path, + old_str=old_str, + new_str=new_str, + source_lang=source_lang, + target_lang=target_lang, + duration_adjust=duration_adjust, + fs=fs, + n_shift=n_shift) + + wav_name = os.path.basename(wav_path) + utt_id = wav_name.split('.')[0] + + wav = outs['new_wav'] + phns = outs['new_phns'] + mfa_start = outs['new_mfa_start'] + mfa_end = outs['new_mfa_end'] + old_span_bdy = outs['old_span_bdy'] + new_span_bdy = outs['new_span_bdy'] + span_bdy = np.array(new_span_bdy) + + text = _p2id(phns) + mel = mel_extractor.get_log_mel_fbank(wav) + erniesat_mean, erniesat_std = np.load(erniesat_stat) + normed_mel = norm(mel, erniesat_mean, erniesat_std) + tmp_name = get_tmp_name(text=old_str) + tmpbase = './tmp_dir/' + tmp_name + tmpbase = Path(tmpbase) + tmpbase.mkdir(parents=True, exist_ok=True) + print("tmp_name in synthesize_e2e:",tmp_name) + + mel_path = tmpbase / 'mel.npy' + print("mel_path:",mel_path) + np.save(mel_path, logmel) + durations = [e - s for e, s in zip(mfa_end, mfa_start)] + + datum={ + "utt_id": utt_id, + "spk_id": 0, + "text": text, + "text_lengths": len(text), + "speech_lengths": 115, + "durations": durations, + "speech": mel_path, + "align_start": mfa_start, + "align_end": mfa_end, + "span_bdy": span_bdy + } + + batch = collate_fn([datum]) + print("batch:",batch) + + return batch, old_span_bdy, new_span_bdy + + +def decode_with_model(mlm_model: nn.Layer, + collate_fn, + wav_path: str, + old_str: str='', + new_str: str='', + source_lang: str='en', + target_lang: str='en', + use_teacher_forcing: bool=False, + duration_adjust: bool=True, + fs: int=24000, + n_shift: int=300, + token_list: List[str]=[]): + batch, old_span_bdy, new_span_bdy = prep_feats( + source_lang=source_lang, + target_lang=target_lang, + wav_path=wav_path, + old_str=old_str, + new_str=new_str, + duration_adjust=duration_adjust, + fs=fs, + n_shift=n_shift, + token_list=token_list) + + + + feats = collate_fn(batch)[1] + + if 'text_masked_pos' in feats.keys(): + feats.pop('text_masked_pos') + + output = mlm_model.inference( + text=feats['text'], + speech=feats['speech'], + masked_pos=feats['masked_pos'], + speech_mask=feats['speech_mask'], + text_mask=feats['text_mask'], + speech_seg_pos=feats['speech_seg_pos'], + text_seg_pos=feats['text_seg_pos'], + span_bdy=new_span_bdy, + use_teacher_forcing=use_teacher_forcing) + + # 拼接音频 + output_feat = paddle.concat(x=output, axis=0) + wav_org, _ = librosa.load(wav_path, sr=fs) + return wav_org, output_feat, old_span_bdy, new_span_bdy, fs, hop_length + + +if __name__ == '__main__': + fs = 24000 + n_shift = 300 + wav_path = "exp/p243_313.wav" + old_str = "For that reason cover should not be given." + # for edit + # new_str = "for that reason cover is impossible to be given." + # for synthesize + append_str = "do you love me i love you so much" + new_str = old_str + append_str + + ''' + outs = prep_feats_with_dur( + wav_path=wav_path, + old_str=old_str, + new_str=new_str, + fs=fs, + n_shift=n_shift) + + new_wav = outs['new_wav'] + new_phns = outs['new_phns'] + new_mfa_start = outs['new_mfa_start'] + new_mfa_end = outs['new_mfa_end'] + old_span_bdy = outs['old_span_bdy'] + new_span_bdy = outs['new_span_bdy'] + + print("---------------------------------") + + print("new_wav:", new_wav) + print("new_phns:", new_phns) + print("new_mfa_start:", new_mfa_start) + print("new_mfa_end:", new_mfa_end) + print("old_span_bdy:", old_span_bdy) + print("new_span_bdy:", new_span_bdy) + print("---------------------------------") + ''' + + erniesat_config = "/home/yuantian01/PaddleSpeech_ERNIE_SAT/PaddleSpeech/examples/vctk/ernie_sat/local/default.yaml" + + with open(erniesat_config) as f: + erniesat_config = CfgNode(yaml.safe_load(f)) + + erniesat_stat = "/home/yuantian01/PaddleSpeech_ERNIE_SAT/PaddleSpeech/examples/vctk/ernie_sat/dump/train/speech_stats.npy" + + # Extractor + mel_extractor = LogMelFBank( + sr=erniesat_config.fs, + n_fft=erniesat_config.n_fft, + hop_length=erniesat_config.n_shift, + win_length=erniesat_config.win_length, + window=erniesat_config.window, + n_mels=erniesat_config.n_mels, + fmin=erniesat_config.fmin, + fmax=erniesat_config.fmax) + + + + collate_fn = build_erniesat_collate_fn( + mlm_prob=erniesat_config.mlm_prob, + mean_phn_span=erniesat_config.mean_phn_span, + seg_emb=erniesat_config.model['enc_input_layer'] == 'sega_mlm', + text_masking=False) + + phones_dict='/home/yuantian01/PaddleSpeech_ERNIE_SAT/PaddleSpeech/examples/vctk/ernie_sat/dump/phone_id_map.txt' + vocab_phones = {} + + with open(phones_dict, 'rt') as f: + phn_id = [line.strip().split() for line in f.readlines()] + for phn, id in phn_id: + vocab_phones[phn] = int(id) + + prep_feats(wav_path=wav_path, + old_str=old_str, + new_str=new_str, + fs=fs, + n_shift=n_shift) + + + diff --git a/paddlespeech/t2s/exps/ernie_sat/utils.py b/paddlespeech/t2s/exps/ernie_sat/utils.py new file mode 100644 index 000000000..9169efa36 --- /dev/null +++ b/paddlespeech/t2s/exps/ernie_sat/utils.py @@ -0,0 +1,216 @@ +# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from pathlib import Path +from typing import Dict +from typing import List +from typing import Union +import os + +import numpy as np +import paddle +import yaml +from yacs.config import CfgNode +import hashlib + + +from paddlespeech.t2s.exps.syn_utils import get_am_inference +from paddlespeech.t2s.exps.syn_utils import get_voc_inference + +def _get_user(): + return os.path.expanduser('~').split('/')[-1] + +def str2md5(string): + md5_val = hashlib.md5(string.encode('utf8')).hexdigest() + return md5_val + +def get_tmp_name(text:str): + return _get_user() + '_' + str(os.getpid()) + '_' + str2md5(text) + +def get_dict(dictfile: str): + word2phns_dict = {} + with open(dictfile, 'r') as fid: + for line in fid: + line_lst = line.split() + word, phn_lst = line_lst[0], line.split()[1:] + if word not in word2phns_dict.keys(): + word2phns_dict[word] = ' '.join(phn_lst) + return word2phns_dict + + +# 获取需要被 mask 的 mel 帧的范围 +def get_span_bdy(mfa_start: List[float], + mfa_end: List[float], + span_to_repl: List[List[int]]): + if span_to_repl[0] >= len(mfa_start): + span_bdy = [mfa_end[-1], mfa_end[-1]] + else: + span_bdy = [mfa_start[span_to_repl[0]], mfa_end[span_to_repl[1] - 1]] + return span_bdy + + +# mfa 获得的 duration 和 fs2 的 duration_predictor 获取的 duration 可能不同 +# 此处获得一个缩放比例, 用于预测值和真实值之间的缩放 +def get_dur_adj_factor(orig_dur: List[int], + pred_dur: List[int], + phns: List[str]): + length = 0 + factor_list = [] + for orig, pred, phn in zip(orig_dur, pred_dur, phns): + if pred == 0 or phn == 'sp': + continue + else: + factor_list.append(orig / pred) + factor_list = np.array(factor_list) + factor_list.sort() + if len(factor_list) < 5: + return 1 + length = 2 + avg = np.average(factor_list[length:-length]) + return avg + + +def read_2col_text(path: Union[Path, str]) -> Dict[str, str]: + """Read a text file having 2 column as dict object. + + Examples: + wav.scp: + key1 /some/path/a.wav + key2 /some/path/b.wav + + >>> read_2col_text('wav.scp') + {'key1': '/some/path/a.wav', 'key2': '/some/path/b.wav'} + + """ + + data = {} + with Path(path).open("r", encoding="utf-8") as f: + for linenum, line in enumerate(f, 1): + sps = line.rstrip().split(maxsplit=1) + if len(sps) == 1: + k, v = sps[0], "" + else: + k, v = sps + if k in data: + raise RuntimeError(f"{k} is duplicated ({path}:{linenum})") + data[k] = v + return data + + +def load_num_sequence_text(path: Union[Path, str], loader_type: str="csv_int" + ) -> Dict[str, List[Union[float, int]]]: + """Read a text file indicating sequences of number + + Examples: + key1 1 2 3 + key2 34 5 6 + + >>> d = load_num_sequence_text('text') + >>> np.testing.assert_array_equal(d["key1"], np.array([1, 2, 3])) + """ + if loader_type == "text_int": + delimiter = " " + dtype = int + elif loader_type == "text_float": + delimiter = " " + dtype = float + elif loader_type == "csv_int": + delimiter = "," + dtype = int + elif loader_type == "csv_float": + delimiter = "," + dtype = float + else: + raise ValueError(f"Not supported loader_type={loader_type}") + + # path looks like: + # utta 1,0 + # uttb 3,4,5 + # -> return {'utta': np.ndarray([1, 0]), + # 'uttb': np.ndarray([3, 4, 5])} + d = read_2column_text(path) + # Using for-loop instead of dict-comprehension for debuggability + retval = {} + for k, v in d.items(): + try: + retval[k] = [dtype(i) for i in v.split(delimiter)] + except TypeError: + print(f'Error happened with path="{path}", id="{k}", value="{v}"') + raise + return retval + + +def is_chinese(ch): + if u'\u4e00' <= ch <= u'\u9fff': + return True + else: + return False + + +def get_voc_out(mel): + # vocoder + args = parse_args() + with open(args.voc_config) as f: + voc_config = CfgNode(yaml.safe_load(f)) + voc_inference = get_voc_inference( + voc=args.voc, + voc_config=voc_config, + voc_ckpt=args.voc_ckpt, + voc_stat=args.voc_stat) + + with paddle.no_grad(): + wav = voc_inference(mel) + return np.squeeze(wav) + + +def eval_durs(phns, target_lang: str='zh', fs: int=24000, n_shift: int=300): + + if target_lang == 'en': + am = "fastspeech2_ljspeech" + am_config = "download/fastspeech2_nosil_ljspeech_ckpt_0.5/default.yaml" + am_ckpt = "download/fastspeech2_nosil_ljspeech_ckpt_0.5/snapshot_iter_100000.pdz" + am_stat = "download/fastspeech2_nosil_ljspeech_ckpt_0.5/speech_stats.npy" + phones_dict = "download/fastspeech2_nosil_ljspeech_ckpt_0.5/phone_id_map.txt" + + elif target_lang == 'zh': + am = "fastspeech2_csmsc" + am_config = "download/fastspeech2_conformer_baker_ckpt_0.5/conformer.yaml" + am_ckpt = "download/fastspeech2_conformer_baker_ckpt_0.5/snapshot_iter_76000.pdz" + am_stat = "download/fastspeech2_conformer_baker_ckpt_0.5/speech_stats.npy" + phones_dict = "download/fastspeech2_conformer_baker_ckpt_0.5/phone_id_map.txt" + + # Init body. + with open(am_config) as f: + am_config = CfgNode(yaml.safe_load(f)) + + am_inference, am = get_am_inference( + am=am, + am_config=am_config, + am_ckpt=am_ckpt, + am_stat=am_stat, + phones_dict=phones_dict, + return_am=True) + + vocab_phones = {} + with open(phones_dict, "r") as f: + phn_id = [line.strip().split() for line in f.readlines()] + for tone, id in phn_id: + vocab_phones[tone] = int(id) + vocab_size = len(vocab_phones) + phonemes = [phn if phn in vocab_phones else "sp" for phn in phns] + + phone_ids = [vocab_phones[item] for item in phonemes] + phone_ids = paddle.to_tensor(np.array(phone_ids, np.int64)) + _, d_outs, _, _ = am.inference(phone_ids) + d_outs = d_outs.tolist() + return d_outs From 1bf78fa5c717dcd7d748c8d1b309022eb69eeb24 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Wed, 27 Jul 2022 07:52:17 +0000 Subject: [PATCH 147/192] updatte batch_fn train.py, test=doc --- paddlespeech/t2s/datasets/am_batch_fn.py | 2 +- paddlespeech/t2s/exps/ernie_sat/train.py | 7 ------- 2 files changed, 1 insertion(+), 8 deletions(-) diff --git a/paddlespeech/t2s/datasets/am_batch_fn.py b/paddlespeech/t2s/datasets/am_batch_fn.py index 05471167f..2cb7a11a2 100644 --- a/paddlespeech/t2s/datasets/am_batch_fn.py +++ b/paddlespeech/t2s/datasets/am_batch_fn.py @@ -68,7 +68,7 @@ def erniesat_batch_fn(examples, mean_phn_span: int=8, seg_emb: bool=False, text_masking: bool=False): - # fields = ["text", "text_lengths", "speech", "speech_lengths", "durations", "pitch", "energy"] + # fields = ["text", "text_lengths", "speech", "speech_lengths", "align_start", "align_end"] text = [np.array(item["text"], dtype=np.int64) for item in examples] speech = [np.array(item["speech"], dtype=np.float32) for item in examples] diff --git a/paddlespeech/t2s/exps/ernie_sat/train.py b/paddlespeech/t2s/exps/ernie_sat/train.py index 5d8eadb68..ccd1245e1 100644 --- a/paddlespeech/t2s/exps/ernie_sat/train.py +++ b/paddlespeech/t2s/exps/ernie_sat/train.py @@ -116,13 +116,6 @@ def train_sp(args, config): odim = config.n_mels model = ErnieSAT(idim=vocab_size, odim=odim, **config["model"]) - # model_path = "/home/yuantian01/PaddleSpeech_ERNIE_SAT/PaddleSpeech/examples/ernie_sat/pretrained_model/paddle_checkpoint_en/model.pdparams" - # state_dict = paddle.load(model_path) - # new_state_dict = {} - # for key, value in state_dict.items(): - # new_key = "model." + key - # new_state_dict[new_key] = value - # model.set_state_dict(new_state_dict) if world_size > 1: model = DataParallel(model) From 18b48c256beccf322b9ce721de7ad0b5c3943f76 Mon Sep 17 00:00:00 2001 From: Zhao Yuting <91456992+THUzyt21@users.noreply.github.com> Date: Thu, 28 Jul 2022 17:38:47 +0800 Subject: [PATCH 148/192] Update default.yaml --- examples/iwslt2012/punc0/conf/default.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/iwslt2012/punc0/conf/default.yaml b/examples/iwslt2012/punc0/conf/default.yaml index 74ced9932..4e2c50a55 100644 --- a/examples/iwslt2012/punc0/conf/default.yaml +++ b/examples/iwslt2012/punc0/conf/default.yaml @@ -29,7 +29,7 @@ optimizer_params: scheduler_params: learning_rate: 1.0e-5 # learning rate. - gamma: 1.0 # scheduler gamma. + gamma: 1.0 # scheduler gamma must between(0.0, 1.0) and close to 1.0 is better. ########################################################### # TRAINING SETTING # From 0308b860544856200f95c46e041bb5b2e59eaf42 Mon Sep 17 00:00:00 2001 From: Zhao Yuting <91456992+THUzyt21@users.noreply.github.com> Date: Thu, 28 Jul 2022 17:39:20 +0800 Subject: [PATCH 149/192] Update default.yaml --- examples/iwslt2012/punc0/conf/default.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/iwslt2012/punc0/conf/default.yaml b/examples/iwslt2012/punc0/conf/default.yaml index 4e2c50a55..17b448990 100644 --- a/examples/iwslt2012/punc0/conf/default.yaml +++ b/examples/iwslt2012/punc0/conf/default.yaml @@ -29,7 +29,7 @@ optimizer_params: scheduler_params: learning_rate: 1.0e-5 # learning rate. - gamma: 1.0 # scheduler gamma must between(0.0, 1.0) and close to 1.0 is better. + gamma: 0.9999 # scheduler gamma must between(0.0, 1.0) and close to 1.0 is better. ########################################################### # TRAINING SETTING # From 535f0d3e332c7f21def574b9e8bc08f383105e36 Mon Sep 17 00:00:00 2001 From: Zhao Yuting <91456992+THUzyt21@users.noreply.github.com> Date: Fri, 29 Jul 2022 11:07:31 +0800 Subject: [PATCH 150/192] Update default.yaml --- examples/iwslt2012/punc0/conf/default.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/iwslt2012/punc0/conf/default.yaml b/examples/iwslt2012/punc0/conf/default.yaml index 17b448990..e88ce2ff1 100644 --- a/examples/iwslt2012/punc0/conf/default.yaml +++ b/examples/iwslt2012/punc0/conf/default.yaml @@ -29,7 +29,7 @@ optimizer_params: scheduler_params: learning_rate: 1.0e-5 # learning rate. - gamma: 0.9999 # scheduler gamma must between(0.0, 1.0) and close to 1.0 is better. + gamma: 0.9999 # scheduler gamma must between(0.0, 1.0) and closer to 1.0 is better. ########################################################### # TRAINING SETTING # From 00e9853f66f677fc94a17563f1a70d99f9fcd946 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Fri, 29 Jul 2022 06:59:21 +0000 Subject: [PATCH 151/192] add mix tts cli, test=tts --- paddlespeech/cli/tts/infer.py | 30 ++++++++++++---------- paddlespeech/resource/pretrained_models.py | 18 +++++++++++++ 2 files changed, 34 insertions(+), 14 deletions(-) diff --git a/paddlespeech/cli/tts/infer.py b/paddlespeech/cli/tts/infer.py index ade8cdd6d..11a7aeea9 100644 --- a/paddlespeech/cli/tts/infer.py +++ b/paddlespeech/cli/tts/infer.py @@ -29,8 +29,7 @@ from yacs.config import CfgNode from ..executor import BaseExecutor from ..log import logger from ..utils import stats_wrapper -from paddlespeech.t2s.frontend import English -from paddlespeech.t2s.frontend.zh_frontend import Frontend +from paddlespeech.t2s.exps.syn_utils import get_frontend from paddlespeech.t2s.modules.normalizer import ZScore __all__ = ['TTSExecutor'] @@ -54,6 +53,7 @@ class TTSExecutor(BaseExecutor): 'fastspeech2_ljspeech', 'fastspeech2_aishell3', 'fastspeech2_vctk', + 'fastspeech2_mix', 'tacotron2_csmsc', 'tacotron2_ljspeech', ], @@ -135,7 +135,7 @@ class TTSExecutor(BaseExecutor): '--lang', type=str, default='zh', - help='Choose model language. zh or en') + help='Choose model language. zh or en or mix') self.parser.add_argument( '--device', type=str, @@ -231,8 +231,11 @@ class TTSExecutor(BaseExecutor): use_pretrained_voc = True else: use_pretrained_voc = False - - voc_tag = voc + '-' + lang + voc_lang = lang + # we must use ljspeech's voc for mix am now! + if lang == 'mix': + voc_lang = 'en' + voc_tag = voc + '-' + voc_lang self.task_resource.set_task_model( model_tag=voc_tag, model_type=1, # vocoder @@ -281,13 +284,8 @@ class TTSExecutor(BaseExecutor): spk_num = len(spk_id) # frontend - if lang == 'zh': - self.frontend = Frontend( - phone_vocab_path=self.phones_dict, - tone_vocab_path=self.tones_dict) - - elif lang == 'en': - self.frontend = English(phone_vocab_path=self.phones_dict) + self.frontend = get_frontend( + lang=lang, phones_dict=self.phones_dict, tones_dict=self.tones_dict) # acoustic model odim = self.am_config.n_mels @@ -381,8 +379,12 @@ class TTSExecutor(BaseExecutor): input_ids = self.frontend.get_input_ids( text, merge_sentences=merge_sentences) phone_ids = input_ids["phone_ids"] + elif lang == 'mix': + input_ids = self.frontend.get_input_ids( + text, merge_sentences=merge_sentences) + phone_ids = input_ids["phone_ids"] else: - logger.error("lang should in {'zh', 'en'}!") + logger.error("lang should in {'zh', 'en', 'mix'}!") self.frontend_time = time.time() - frontend_st self.am_time = 0 @@ -398,7 +400,7 @@ class TTSExecutor(BaseExecutor): # fastspeech2 else: # multi speaker - if am_dataset in {"aishell3", "vctk"}: + if am_dataset in {'aishell3', 'vctk', 'mix'}: mel = self.am_inference( part_phone_ids, spk_id=paddle.to_tensor(spk_id)) else: diff --git a/paddlespeech/resource/pretrained_models.py b/paddlespeech/resource/pretrained_models.py index 324bd3aea..d7df0e48a 100644 --- a/paddlespeech/resource/pretrained_models.py +++ b/paddlespeech/resource/pretrained_models.py @@ -655,6 +655,24 @@ tts_dynamic_pretrained_models = { 'phone_id_map.txt', }, }, + "fastspeech2_mix-mix": { + '1.0': { + 'url': + 'https://paddlespeech.bj.bcebos.com/t2s/chinse_english_mixed/models/fastspeech2_csmscljspeech_add-zhen.zip', + 'md5': + '77d9d4b5a79ed6203339ead7ef6c74f9', + 'config': + 'default.yaml', + 'ckpt': + 'snapshot_iter_94000.pdz', + 'speech_stats': + 'speech_stats.npy', + 'phones_dict': + 'phone_id_map.txt', + 'speaker_dict': + 'speaker_id_map.txt', + }, + }, # tacotron2 "tacotron2_csmsc-zh": { '1.0': { From 510e240c5c67e081961629b9e4fbd2f1acfccdc6 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Fri, 29 Jul 2022 07:16:44 +0000 Subject: [PATCH 152/192] achange default voc in cli from pwgan_csmsc to hifigan_csmsc, test=tts --- paddlespeech/cli/tts/infer.py | 2 +- tests/unit/cli/test_cli.sh | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/paddlespeech/cli/tts/infer.py b/paddlespeech/cli/tts/infer.py index 11a7aeea9..65750e1a8 100644 --- a/paddlespeech/cli/tts/infer.py +++ b/paddlespeech/cli/tts/infer.py @@ -98,7 +98,7 @@ class TTSExecutor(BaseExecutor): self.parser.add_argument( '--voc', type=str, - default='pwgan_csmsc', + default='hifigan_csmsc', choices=[ 'pwgan_csmsc', 'pwgan_ljspeech', diff --git a/tests/unit/cli/test_cli.sh b/tests/unit/cli/test_cli.sh index 6879c4d64..c21137eb2 100755 --- a/tests/unit/cli/test_cli.sh +++ b/tests/unit/cli/test_cli.sh @@ -43,7 +43,7 @@ paddlespeech tts --input "你好，欢迎使用百度飞桨深度学习框架！ paddlespeech tts --am speedyspeech_csmsc --input "你好，欢迎使用百度飞桨深度学习框架！" paddlespeech tts --voc mb_melgan_csmsc --input "你好，欢迎使用百度飞桨深度学习框架！" paddlespeech tts --voc style_melgan_csmsc --input "你好，欢迎使用百度飞桨深度学习框架！" -paddlespeech tts --voc hifigan_csmsc --input "你好，欢迎使用百度飞桨深度学习框架！" +paddlespeech tts --voc pwgan_csmsc --input "你好，欢迎使用百度飞桨深度学习框架！" paddlespeech tts --am fastspeech2_aishell3 --voc pwgan_aishell3 --input "你好，欢迎使用百度飞桨深度学习框架！" --spk_id 0 paddlespeech tts --am fastspeech2_aishell3 --voc hifigan_aishell3 --input "你好，欢迎使用百度飞桨深度学习框架！" --spk_id 0 paddlespeech tts --am fastspeech2_ljspeech --voc pwgan_ljspeech --lang en --input "Life was like a box of chocolates, you never know what you're gonna get." From 7bd1b42e3b1a0aef5b233fc6c8759d60109d3cfc Mon Sep 17 00:00:00 2001 From: TianYuan Date: Fri, 29 Jul 2022 07:39:09 +0000 Subject: [PATCH 153/192] add mix test in test_cli.sh, test=tts --- tests/unit/cli/test_cli.sh | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/tests/unit/cli/test_cli.sh b/tests/unit/cli/test_cli.sh index c21137eb2..4d2ed1b85 100755 --- a/tests/unit/cli/test_cli.sh +++ b/tests/unit/cli/test_cli.sh @@ -53,6 +53,12 @@ paddlespeech tts --am fastspeech2_vctk --voc hifigan_vctk --input "Life was like paddlespeech tts --am tacotron2_csmsc --input "你好，欢迎使用百度飞桨深度学习框架！" paddlespeech tts --am tacotron2_csmsc --voc wavernn_csmsc --input "你好，欢迎使用百度飞桨深度学习框架！" paddlespeech tts --am tacotron2_ljspeech --voc pwgan_ljspeech --lang en --input "Life was like a box of chocolates, you never know what you're gonna get." +# mix tts +# The `am` must be `fastspeech2_mix`! +# The `lang` must be `mix`! +# The voc must be `hifigan_ljspeech` or `pwgan_ljspeech` for f`astspeech2_mix` now! +paddlespeech tts --am fastspeech2_mix --voc hifigan_ljspeech --lang mix --input "热烈欢迎您在 Discussions 中提交问题，并在 Issues 中指出发现的 bug。此外，我们非常希望您参与到 Paddle Speech 的开发中！" --spk_id 0 --output mix_spk0.wav +paddlespeech tts --am fastspeech2_mix --voc pwgan_ljspeech --lang mix --input "我们的声学模型使用了 Fast Speech Two, 声码器使用了 Parallel Wave GAN and Hifi GAN." --spk_id 1 --output mix_spk1.wav # Speech Translation (only support linux) paddlespeech st --input ./en.wav From 354601d0e9b5362a41e88f9bf18b9b6c7b026bab Mon Sep 17 00:00:00 2001 From: TianYuan Date: Mon, 1 Aug 2022 09:25:58 +0000 Subject: [PATCH 154/192] fix readme, test=doc --- demos/speech_server/README.md | 49 ++++++++----------- demos/speech_server/README_cn.md | 46 ++++++++--------- .../server/bin/paddlespeech_client.py | 5 +- paddlespeech/server/utils/audio_handler.py | 4 +- 4 files changed, 43 insertions(+), 61 deletions(-) diff --git a/demos/speech_server/README.md b/demos/speech_server/README.md index fda8ab9c4..48c823e28 100644 --- a/demos/speech_server/README.md +++ b/demos/speech_server/README.md @@ -110,15 +110,13 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee Output: ```text - [2022-02-23 18:11:22,819] [ INFO] - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'transcription': '我认为跑步最重要的就是给我带来了身体健康'}} - [2022-02-23 18:11:22,820] [ INFO] - time cost 0.689145 s. - + [2022-08-01 07:54:01,646] [ INFO] - ASR result: 我认为跑步最重要的就是给我带来了身体健康 + [2022-08-01 07:54:01,646] [ INFO] - Response time 4.898965 s. ``` - Python API ```python from paddlespeech.server.bin.paddlespeech_client import ASRClientExecutor - import json asrclient_executor = ASRClientExecutor() res = asrclient_executor( @@ -128,12 +126,11 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee sample_rate=16000, lang="zh_cn", audio_format="wav") - print(res.json()) + print(res) ``` - Output: ```text - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'transcription': '我认为跑步最重要的就是给我带来了身体健康'}} + 我认为跑步最重要的就是给我带来了身体健康 ``` ### 5. TTS Client Usage @@ -162,7 +159,6 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee Output: ```text - [2022-02-23 15:20:37,875] [ INFO] - {'description': 'success.'} [2022-02-23 15:20:37,875] [ INFO] - Save synthesized audio successfully on output.wav. [2022-02-23 15:20:37,875] [ INFO] - Audio duration: 3.612500 s. [2022-02-23 15:20:37,875] [ INFO] - Response time: 0.348050 s. @@ -273,18 +269,18 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee Output: ```text - [2022-05-25 12:25:36,165] [ INFO] - vector http client start - [2022-05-25 12:25:36,165] [ INFO] - the input audio: 85236145389.wav - [2022-05-25 12:25:36,165] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector - [2022-05-25 12:25:36,166] [ INFO] - http://127.0.0.1:8790/paddlespeech/vector - [2022-05-25 12:25:36,324] [ INFO] - The vector: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [-1.3251205682754517, 7.860682487487793, -4.620625972747803, 0.3000721037387848, 2.2648534774780273, -1.1931440830230713, 3.064713716506958, 7.673594951629639, -6.004472732543945, -12.024259567260742, -1.9496068954467773, 3.126953601837158, 1.6188379526138306, -7.638310432434082, -1.2299772500991821, -12.33833122253418, 2.1373026371002197, -5.395712375640869, 9.717328071594238, 5.675230503082275, 3.7805123329162598, 3.0597171783447266, 3.429692029953003, 8.9760103225708, 13.174124717712402, -0.5313228368759155, 8.942471504211426, 4.465109825134277, -4.426247596740723, -9.726503372192383, 8.399328231811523, 7.223917484283447, -7.435853958129883, 2.9441683292388916, -4.343039512634277, -13.886964797973633, -1.6346734762191772, -10.902740478515625, -5.311244964599609, 3.800722122192383, 3.897603750228882, -2.123077392578125, -2.3521194458007812, 4.151031017303467, -7.404866695404053, 0.13911646604537964, 2.4626107215881348, 4.96645450592041, 0.9897574186325073, 5.483975410461426, -3.3574001789093018, 10.13400650024414, -0.6120170950889587, -10.403095245361328, 4.600754261016846, 16.009349822998047, -7.78369140625, -4.194530487060547, -6.93686056137085, 1.1789555549621582, 11.490800857543945, 4.23802375793457, 9.550930976867676, 8.375045776367188, 7.508914470672607, -0.6570729613304138, -0.3005157709121704, 2.8406054973602295, 3.0828027725219727, 0.7308170199394226, 6.1483540534973145, 0.1376611888408661, -13.424735069274902, -7.746140480041504, -2.322798252105713, -8.305252075195312, 2.98791241645813, -10.99522876739502, 0.15211068093776703, -2.3820347785949707, -1.7984174489974976, 8.49562931060791, -5.852236747741699, -3.755497932434082, 0.6989710927009583, -5.270299434661865, -2.6188621520996094, -1.8828465938568115, -4.6466498374938965, 14.078543663024902, -0.5495333075523376, 10.579157829284668, -3.216050148010254, 9.349003791809082, -4.381077766418457, -11.675816535949707, -2.863020658493042, 4.5721755027771, 2.246612071990967, -4.574341773986816, 1.8610187768936157, 2.3767874240875244, 5.625787734985352, -9.784077644348145, 0.6496725678443909, -1.457950472831726, 0.4263263940811157, -4.921126365661621, -2.4547839164733887, 3.4869801998138428, -0.4265422224998474, 8.341268539428711, 1.356552004814148, 7.096688270568848, -13.102828979492188, 8.01673412322998, -7.115934371948242, 1.8699780702590942, 0.20872099697589874, 14.699383735656738, -1.0252779722213745, -2.6107232570648193, -2.5082311630249023, 8.427192687988281, 6.913852691650391, -6.29124641418457, 0.6157366037368774, 2.489687919616699, -3.4668266773223877, 9.92176342010498, 11.200815200805664, -0.19664029777050018, 7.491600513458252, -0.6231271624565125, -0.2584814429283142, -9.947997093200684, -0.9611040949821472, 1.1649218797683716, -2.1907122135162354, -1.502848744392395, -0.5192610621452332, 15.165953636169434, 2.4649462699890137, -0.998044490814209, 7.44166374206543, -2.0768048763275146, 3.5896823406219482, -7.305543422698975, -7.562084674835205, 4.32333517074585, 0.08044180274009705, -6.564010143280029, -2.314805269241333, -1.7642345428466797, -2.470881700515747, -7.6756181716918945, -9.548877716064453, -1.017755389213562, 0.1698644608259201, 2.5877134799957275, -1.8752295970916748, -0.36614322662353516, -6.049378395080566, -2.3965611457824707, -5.945338726043701, 0.9424033164978027, -13.155974388122559, -7.45780086517334, 0.14658108353614807, -3.7427968978881836, 5.841492652893066, -1.2872905731201172, 5.569431304931641, 12.570590019226074, 1.0939218997955322, 2.2142086029052734, 1.9181575775146484, 6.991420745849609, -5.888138771057129, 3.1409823894500732, -2.0036280155181885, 2.4434285163879395, 9.973138809204102, 5.036680221557617, 2.005120277404785, 2.861560344696045, 5.860223770141602, 2.917618751525879, -1.63111412525177, 2.0292205810546875, -4.070415019989014, -6.831437110900879]}} - [2022-05-25 12:25:36,324] [ INFO] - Response time 0.159053 s. + [2022-08-01 09:01:22,151] [ INFO] - vector http client start + [2022-08-01 09:01:22,152] [ INFO] - the input audio: 85236145389.wav + [2022-08-01 09:01:22,152] [ INFO] - endpoint: http://127.0.0.1:8090/paddlespeech/vector + [2022-08-01 09:01:27,093] [ INFO] - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [1.4217487573623657, 5.626248836517334, -5.342073440551758, 1.177390217781067, 3.308061122894287, 1.7565997838974, 5.1678876876831055, 10.806346893310547, -3.822679042816162, -5.614130973815918, 2.6238481998443604, -0.8072965741157532, 1.963512659072876, -7.312864780426025, 0.011034967377781868, -9.723127365112305, 0.661963164806366, -6.976816654205322, 10.213465690612793, 7.494767189025879, 2.9105641841888428, 3.894925117492676, 3.7999846935272217, 7.106173992156982, 16.905324935913086, -7.149376392364502, 8.733112335205078, 3.423002004623413, -4.831653118133545, -11.403371810913086, 11.232216835021973, 7.127464771270752, -4.282831192016602, 2.4523589611053467, -5.13075065612793, -18.17765998840332, -2.611666440963745, -11.00034236907959, -6.731431007385254, 1.6564655303955078, 0.7618184685707092, 1.1253058910369873, -2.0838277339935303, 4.725739002227783, -8.782590866088867, -3.5398736000061035, 3.8142387866973877, 5.142062664031982, 2.162053346633911, 4.09642219543457, -6.416221618652344, 12.747454643249512, 1.9429889917373657, -15.152948379516602, 6.417416572570801, 16.097013473510742, -9.716649055480957, -1.9920448064804077, -3.364956855773926, -1.8719490766525269, 11.567351341247559, 3.6978795528411865, 11.258269309997559, 7.442364692687988, 9.183405876159668, 4.528151512145996, -1.2417811155319214, 4.395910263061523, 6.672768592834473, 5.889888763427734, 7.627115249633789, -0.6692016124725342, -11.889703750610352, -9.208883285522461, -7.427401542663574, -3.777655601501465, 6.917237758636475, -9.848749160766602, -2.094479560852051, -5.1351189613342285, 0.49564215540885925, 9.317541122436523, -5.9141845703125, -1.809845209121704, -0.11738205701112747, -7.169270992279053, -1.0578246116638184, -5.721685886383057, -5.117387294769287, 16.137670516967773, -4.473618984222412, 7.66243314743042, -0.5538089871406555, 9.631582260131836, -6.470466613769531, -8.54850959777832, 4.371622085571289, -0.7970349192619324, 4.479003429412842, -2.9758646488189697, 3.2721707820892334, 2.8382749557495117, 5.1345953941345215, -9.19078254699707, -0.5657423138618469, -4.874573230743408, 2.316561460494995, -5.984307289123535, -2.1798791885375977, 0.35541653633117676, -0.3178458511829376, 9.493547439575195, 2.114448070526123, 4.358088493347168, -12.089820861816406, 8.451695442199707, -7.925461769104004, 4.624246120452881, 4.428938388824463, 18.691999435424805, -2.620460033416748, -5.149182319641113, -0.3582168221473694, 8.488557815551758, 4.98148250579834, -9.326834678649902, -2.2544236183166504, 6.64176607131958, 1.2119656801223755, 10.977132797241211, 16.55504035949707, 3.323848247528076, 9.55185317993164, -1.6677050590515137, -0.7953923940658569, -8.605660438537598, -0.4735637903213501, 2.6741855144500732, -5.359188079833984, -2.6673784255981445, 0.6660736799240112, 15.443212509155273, 4.740597724914551, -3.4725306034088135, 11.592561721801758, -2.05450701713562, 1.7361239194869995, -8.26533031463623, -9.304476737976074, 5.406835079193115, -1.5180232524871826, -7.746610641479492, -6.089605331420898, 0.07112561166286469, -0.34904858469963074, -8.649889945983887, -9.998958587646484, -2.5648481845855713, -0.5399898886680603, 2.6018145084381104, -0.31927648186683655, -1.8815231323242188, -2.0721378326416016, -3.4105639457702637, -8.299802780151367, 1.4836379289627075, -15.366002082824707, -8.288193702697754, 3.884773015975952, -3.4876506328582764, 7.362995624542236, 0.4657321572303772, 3.1326000690460205, 12.438883781433105, -1.8337029218673706, 4.532927513122559, 2.726433277130127, 10.145345687866211, -6.521956920623779, 2.8971481323242188, -3.3925881385803223, 5.079156398773193, 7.759725093841553, 4.677562236785889, 5.8457818031311035, 2.4023921489715576, 7.707108974456787, 3.9711389541625977, -6.390035152435303, 6.126871109008789, -3.776031017303467, -11.118141174316406]}} + [2022-08-01 09:01:27,094] [ INFO] - Response time 4.941739 s. ``` * Python API ``` python from paddlespeech.server.bin.paddlespeech_client import VectorClientExecutor + import json vectorclient_executor = VectorClientExecutor() res = vectorclient_executor( @@ -292,13 +288,13 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee server_ip="127.0.0.1", port=8090, task="spk") - print(res) + print(res.json()) ``` Output: ```text - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [-1.3251205682754517, 7.860682487487793, -4.620625972747803, 0.3000721037387848, 2.2648534774780273, -1.1931440830230713, 3.064713716506958, 7.673594951629639, -6.004472732543945, -12.024259567260742, -1.9496068954467773, 3.126953601837158, 1.6188379526138306, -7.638310432434082, -1.2299772500991821, -12.33833122253418, 2.1373026371002197, -5.395712375640869, 9.717328071594238, 5.675230503082275, 3.7805123329162598, 3.0597171783447266, 3.429692029953003, 8.9760103225708, 13.174124717712402, -0.5313228368759155, 8.942471504211426, 4.465109825134277, -4.426247596740723, -9.726503372192383, 8.399328231811523, 7.223917484283447, -7.435853958129883, 2.9441683292388916, -4.343039512634277, -13.886964797973633, -1.6346734762191772, -10.902740478515625, -5.311244964599609, 3.800722122192383, 3.897603750228882, -2.123077392578125, -2.3521194458007812, 4.151031017303467, -7.404866695404053, 0.13911646604537964, 2.4626107215881348, 4.96645450592041, 0.9897574186325073, 5.483975410461426, -3.3574001789093018, 10.13400650024414, -0.6120170950889587, -10.403095245361328, 4.600754261016846, 16.009349822998047, -7.78369140625, -4.194530487060547, -6.93686056137085, 1.1789555549621582, 11.490800857543945, 4.23802375793457, 9.550930976867676, 8.375045776367188, 7.508914470672607, -0.6570729613304138, -0.3005157709121704, 2.8406054973602295, 3.0828027725219727, 0.7308170199394226, 6.1483540534973145, 0.1376611888408661, -13.424735069274902, -7.746140480041504, -2.322798252105713, -8.305252075195312, 2.98791241645813, -10.99522876739502, 0.15211068093776703, -2.3820347785949707, -1.7984174489974976, 8.49562931060791, -5.852236747741699, -3.755497932434082, 0.6989710927009583, -5.270299434661865, -2.6188621520996094, -1.8828465938568115, -4.6466498374938965, 14.078543663024902, -0.5495333075523376, 10.579157829284668, -3.216050148010254, 9.349003791809082, -4.381077766418457, -11.675816535949707, -2.863020658493042, 4.5721755027771, 2.246612071990967, -4.574341773986816, 1.8610187768936157, 2.3767874240875244, 5.625787734985352, -9.784077644348145, 0.6496725678443909, -1.457950472831726, 0.4263263940811157, -4.921126365661621, -2.4547839164733887, 3.4869801998138428, -0.4265422224998474, 8.341268539428711, 1.356552004814148, 7.096688270568848, -13.102828979492188, 8.01673412322998, -7.115934371948242, 1.8699780702590942, 0.20872099697589874, 14.699383735656738, -1.0252779722213745, -2.6107232570648193, -2.5082311630249023, 8.427192687988281, 6.913852691650391, -6.29124641418457, 0.6157366037368774, 2.489687919616699, -3.4668266773223877, 9.92176342010498, 11.200815200805664, -0.19664029777050018, 7.491600513458252, -0.6231271624565125, -0.2584814429283142, -9.947997093200684, -0.9611040949821472, 1.1649218797683716, -2.1907122135162354, -1.502848744392395, -0.5192610621452332, 15.165953636169434, 2.4649462699890137, -0.998044490814209, 7.44166374206543, -2.0768048763275146, 3.5896823406219482, -7.305543422698975, -7.562084674835205, 4.32333517074585, 0.08044180274009705, -6.564010143280029, -2.314805269241333, -1.7642345428466797, -2.470881700515747, -7.6756181716918945, -9.548877716064453, -1.017755389213562, 0.1698644608259201, 2.5877134799957275, -1.8752295970916748, -0.36614322662353516, -6.049378395080566, -2.3965611457824707, -5.945338726043701, 0.9424033164978027, -13.155974388122559, -7.45780086517334, 0.14658108353614807, -3.7427968978881836, 5.841492652893066, -1.2872905731201172, 5.569431304931641, 12.570590019226074, 1.0939218997955322, 2.2142086029052734, 1.9181575775146484, 6.991420745849609, -5.888138771057129, 3.1409823894500732, -2.0036280155181885, 2.4434285163879395, 9.973138809204102, 5.036680221557617, 2.005120277404785, 2.861560344696045, 5.860223770141602, 2.917618751525879, -1.63111412525177, 2.0292205810546875, -4.070415019989014, -6.831437110900879]}} + {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [1.4217487573623657, 5.626248836517334, -5.342073440551758, 1.177390217781067, 3.308061122894287, 1.7565997838974, 5.1678876876831055, 10.806346893310547, -3.822679042816162, -5.614130973815918, 2.6238481998443604, -0.8072965741157532, 1.963512659072876, -7.312864780426025, 0.011034967377781868, -9.723127365112305, 0.661963164806366, -6.976816654205322, 10.213465690612793, 7.494767189025879, 2.9105641841888428, 3.894925117492676, 3.7999846935272217, 7.106173992156982, 16.905324935913086, -7.149376392364502, 8.733112335205078, 3.423002004623413, -4.831653118133545, -11.403371810913086, 11.232216835021973, 7.127464771270752, -4.282831192016602, 2.4523589611053467, -5.13075065612793, -18.17765998840332, -2.611666440963745, -11.00034236907959, -6.731431007385254, 1.6564655303955078, 0.7618184685707092, 1.1253058910369873, -2.0838277339935303, 4.725739002227783, -8.782590866088867, -3.5398736000061035, 3.8142387866973877, 5.142062664031982, 2.162053346633911, 4.09642219543457, -6.416221618652344, 12.747454643249512, 1.9429889917373657, -15.152948379516602, 6.417416572570801, 16.097013473510742, -9.716649055480957, -1.9920448064804077, -3.364956855773926, -1.8719490766525269, 11.567351341247559, 3.6978795528411865, 11.258269309997559, 7.442364692687988, 9.183405876159668, 4.528151512145996, -1.2417811155319214, 4.395910263061523, 6.672768592834473, 5.889888763427734, 7.627115249633789, -0.6692016124725342, -11.889703750610352, -9.208883285522461, -7.427401542663574, -3.777655601501465, 6.917237758636475, -9.848749160766602, -2.094479560852051, -5.1351189613342285, 0.49564215540885925, 9.317541122436523, -5.9141845703125, -1.809845209121704, -0.11738205701112747, -7.169270992279053, -1.0578246116638184, -5.721685886383057, -5.117387294769287, 16.137670516967773, -4.473618984222412, 7.66243314743042, -0.5538089871406555, 9.631582260131836, -6.470466613769531, -8.54850959777832, 4.371622085571289, -0.7970349192619324, 4.479003429412842, -2.9758646488189697, 3.2721707820892334, 2.8382749557495117, 5.1345953941345215, -9.19078254699707, -0.5657423138618469, -4.874573230743408, 2.316561460494995, -5.984307289123535, -2.1798791885375977, 0.35541653633117676, -0.3178458511829376, 9.493547439575195, 2.114448070526123, 4.358088493347168, -12.089820861816406, 8.451695442199707, -7.925461769104004, 4.624246120452881, 4.428938388824463, 18.691999435424805, -2.620460033416748, -5.149182319641113, -0.3582168221473694, 8.488557815551758, 4.98148250579834, -9.326834678649902, -2.2544236183166504, 6.64176607131958, 1.2119656801223755, 10.977132797241211, 16.55504035949707, 3.323848247528076, 9.55185317993164, -1.6677050590515137, -0.7953923940658569, -8.605660438537598, -0.4735637903213501, 2.6741855144500732, -5.359188079833984, -2.6673784255981445, 0.6660736799240112, 15.443212509155273, 4.740597724914551, -3.4725306034088135, 11.592561721801758, -2.05450701713562, 1.7361239194869995, -8.26533031463623, -9.304476737976074, 5.406835079193115, -1.5180232524871826, -7.746610641479492, -6.089605331420898, 0.07112561166286469, -0.34904858469963074, -8.649889945983887, -9.998958587646484, -2.5648481845855713, -0.5399898886680603, 2.6018145084381104, -0.31927648186683655, -1.8815231323242188, -2.0721378326416016, -3.4105639457702637, -8.299802780151367, 1.4836379289627075, -15.366002082824707, -8.288193702697754, 3.884773015975952, -3.4876506328582764, 7.362995624542236, 0.4657321572303772, 3.1326000690460205, 12.438883781433105, -1.8337029218673706, 4.532927513122559, 2.726433277130127, 10.145345687866211, -6.521956920623779, 2.8971481323242188, -3.3925881385803223, 5.079156398773193, 7.759725093841553, 4.677562236785889, 5.8457818031311035, 2.4023921489715576, 7.707108974456787, 3.9711389541625977, -6.390035152435303, 6.126871109008789, -3.776031017303467, -11.118141174316406]}} ``` #### 7.2 Get the score between speaker audio embedding @@ -330,18 +326,18 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee Output: ```text - [2022-05-25 12:33:24,527] [ INFO] - vector score http client start - [2022-05-25 12:33:24,527] [ INFO] - enroll audio: 85236145389.wav, test audio: 123456789.wav - [2022-05-25 12:33:24,528] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector/score - [2022-05-25 12:33:24,695] [ INFO] - The vector score is: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}} - [2022-05-25 12:33:24,696] [ INFO] - The vector: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}} - [2022-05-25 12:33:24,696] [ INFO] - Response time 0.168271 s. + [2022-08-01 09:04:42,275] [ INFO] - vector score http client start + [2022-08-01 09:04:42,275] [ INFO] - enroll audio: 85236145389.wav, test audio: 123456789.wav + [2022-08-01 09:04:42,275] [ INFO] - endpoint: http://127.0.0.1:8090/paddlespeech/vector/score + [2022-08-01 09:04:44,611] [ INFO] - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.4292638897895813}} + [2022-08-01 09:04:44,611] [ INFO] - Response time 2.336258 s. ``` * Python API ``` python from paddlespeech.server.bin.paddlespeech_client import VectorClientExecutor + import json vectorclient_executor = VectorClientExecutor() res = vectorclient_executor( @@ -351,17 +347,13 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee server_ip="127.0.0.1", port=8090, task="score") - print(res) + print(res.json()) ``` Output: ```text - [2022-05-25 12:30:14,143] [ INFO] - vector score http client start - [2022-05-25 12:30:14,143] [ INFO] - enroll audio: 85236145389.wav, test audio: 123456789.wav - [2022-05-25 12:30:14,143] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector/score - [2022-05-25 12:30:14,363] [ INFO] - The vector score is: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}} - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}} + {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.4292638897895813}} ``` ### 8. Punctuation prediction @@ -402,7 +394,6 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee server_ip="127.0.0.1", port=8090,) print(res) - ``` Output: diff --git a/demos/speech_server/README_cn.md b/demos/speech_server/README_cn.md index 247bde464..72d2c58d6 100644 --- a/demos/speech_server/README_cn.md +++ b/demos/speech_server/README_cn.md @@ -114,14 +114,13 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee 输出: ```text - [2022-02-23 18:11:22,819] [ INFO] - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'transcription': '我认为跑步最重要的就是给我带来了身体健康'}} - [2022-02-23 18:11:22,820] [ INFO] - time cost 0.689145 s. + [2022-08-01 07:54:01,646] [ INFO] - ASR result: 我认为跑步最重要的就是给我带来了身体健康 + [2022-08-01 07:54:01,646] [ INFO] - Response time 4.898965 s. ``` - Python API ```python from paddlespeech.server.bin.paddlespeech_client import ASRClientExecutor - import json asrclient_executor = ASRClientExecutor() res = asrclient_executor( @@ -131,12 +130,12 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee sample_rate=16000, lang="zh_cn", audio_format="wav") - print(res.json()) + print(res) ``` 输出: ```text - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'transcription': '我认为跑步最重要的就是给我带来了身体健康'}} + 我认为跑步最重要的就是给我带来了身体健康 ``` ### 5. TTS 客户端使用方法 @@ -166,7 +165,6 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee 输出: ```text - [2022-02-23 15:20:37,875] [ INFO] - {'description': 'success.'} [2022-02-23 15:20:37,875] [ INFO] - Save synthesized audio successfully on output.wav. [2022-02-23 15:20:37,875] [ INFO] - Audio duration: 3.612500 s. [2022-02-23 15:20:37,875] [ INFO] - Response time: 0.348050 s. @@ -276,18 +274,18 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee 输出: ```text - [2022-05-25 12:25:36,165] [ INFO] - vector http client start - [2022-05-25 12:25:36,165] [ INFO] - the input audio: 85236145389.wav - [2022-05-25 12:25:36,165] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector - [2022-05-25 12:25:36,166] [ INFO] - http://127.0.0.1:8790/paddlespeech/vector - [2022-05-25 12:25:36,324] [ INFO] - The vector: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [-1.3251205682754517, 7.860682487487793, -4.620625972747803, 0.3000721037387848, 2.2648534774780273, -1.1931440830230713, 3.064713716506958, 7.673594951629639, -6.004472732543945, -12.024259567260742, -1.9496068954467773, 3.126953601837158, 1.6188379526138306, -7.638310432434082, -1.2299772500991821, -12.33833122253418, 2.1373026371002197, -5.395712375640869, 9.717328071594238, 5.675230503082275, 3.7805123329162598, 3.0597171783447266, 3.429692029953003, 8.9760103225708, 13.174124717712402, -0.5313228368759155, 8.942471504211426, 4.465109825134277, -4.426247596740723, -9.726503372192383, 8.399328231811523, 7.223917484283447, -7.435853958129883, 2.9441683292388916, -4.343039512634277, -13.886964797973633, -1.6346734762191772, -10.902740478515625, -5.311244964599609, 3.800722122192383, 3.897603750228882, -2.123077392578125, -2.3521194458007812, 4.151031017303467, -7.404866695404053, 0.13911646604537964, 2.4626107215881348, 4.96645450592041, 0.9897574186325073, 5.483975410461426, -3.3574001789093018, 10.13400650024414, -0.6120170950889587, -10.403095245361328, 4.600754261016846, 16.009349822998047, -7.78369140625, -4.194530487060547, -6.93686056137085, 1.1789555549621582, 11.490800857543945, 4.23802375793457, 9.550930976867676, 8.375045776367188, 7.508914470672607, -0.6570729613304138, -0.3005157709121704, 2.8406054973602295, 3.0828027725219727, 0.7308170199394226, 6.1483540534973145, 0.1376611888408661, -13.424735069274902, -7.746140480041504, -2.322798252105713, -8.305252075195312, 2.98791241645813, -10.99522876739502, 0.15211068093776703, -2.3820347785949707, -1.7984174489974976, 8.49562931060791, -5.852236747741699, -3.755497932434082, 0.6989710927009583, -5.270299434661865, -2.6188621520996094, -1.8828465938568115, -4.6466498374938965, 14.078543663024902, -0.5495333075523376, 10.579157829284668, -3.216050148010254, 9.349003791809082, -4.381077766418457, -11.675816535949707, -2.863020658493042, 4.5721755027771, 2.246612071990967, -4.574341773986816, 1.8610187768936157, 2.3767874240875244, 5.625787734985352, -9.784077644348145, 0.6496725678443909, -1.457950472831726, 0.4263263940811157, -4.921126365661621, -2.4547839164733887, 3.4869801998138428, -0.4265422224998474, 8.341268539428711, 1.356552004814148, 7.096688270568848, -13.102828979492188, 8.01673412322998, -7.115934371948242, 1.8699780702590942, 0.20872099697589874, 14.699383735656738, -1.0252779722213745, -2.6107232570648193, -2.5082311630249023, 8.427192687988281, 6.913852691650391, -6.29124641418457, 0.6157366037368774, 2.489687919616699, -3.4668266773223877, 9.92176342010498, 11.200815200805664, -0.19664029777050018, 7.491600513458252, -0.6231271624565125, -0.2584814429283142, -9.947997093200684, -0.9611040949821472, 1.1649218797683716, -2.1907122135162354, -1.502848744392395, -0.5192610621452332, 15.165953636169434, 2.4649462699890137, -0.998044490814209, 7.44166374206543, -2.0768048763275146, 3.5896823406219482, -7.305543422698975, -7.562084674835205, 4.32333517074585, 0.08044180274009705, -6.564010143280029, -2.314805269241333, -1.7642345428466797, -2.470881700515747, -7.6756181716918945, -9.548877716064453, -1.017755389213562, 0.1698644608259201, 2.5877134799957275, -1.8752295970916748, -0.36614322662353516, -6.049378395080566, -2.3965611457824707, -5.945338726043701, 0.9424033164978027, -13.155974388122559, -7.45780086517334, 0.14658108353614807, -3.7427968978881836, 5.841492652893066, -1.2872905731201172, 5.569431304931641, 12.570590019226074, 1.0939218997955322, 2.2142086029052734, 1.9181575775146484, 6.991420745849609, -5.888138771057129, 3.1409823894500732, -2.0036280155181885, 2.4434285163879395, 9.973138809204102, 5.036680221557617, 2.005120277404785, 2.861560344696045, 5.860223770141602, 2.917618751525879, -1.63111412525177, 2.0292205810546875, -4.070415019989014, -6.831437110900879]}} - [2022-05-25 12:25:36,324] [ INFO] - Response time 0.159053 s. + [2022-08-01 09:01:22,151] [ INFO] - vector http client start + [2022-08-01 09:01:22,152] [ INFO] - the input audio: 85236145389.wav + [2022-08-01 09:01:22,152] [ INFO] - endpoint: http://127.0.0.1:8090/paddlespeech/vector + [2022-08-01 09:01:27,093] [ INFO] - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [1.4217487573623657, 5.626248836517334, -5.342073440551758, 1.177390217781067, 3.308061122894287, 1.7565997838974, 5.1678876876831055, 10.806346893310547, -3.822679042816162, -5.614130973815918, 2.6238481998443604, -0.8072965741157532, 1.963512659072876, -7.312864780426025, 0.011034967377781868, -9.723127365112305, 0.661963164806366, -6.976816654205322, 10.213465690612793, 7.494767189025879, 2.9105641841888428, 3.894925117492676, 3.7999846935272217, 7.106173992156982, 16.905324935913086, -7.149376392364502, 8.733112335205078, 3.423002004623413, -4.831653118133545, -11.403371810913086, 11.232216835021973, 7.127464771270752, -4.282831192016602, 2.4523589611053467, -5.13075065612793, -18.17765998840332, -2.611666440963745, -11.00034236907959, -6.731431007385254, 1.6564655303955078, 0.7618184685707092, 1.1253058910369873, -2.0838277339935303, 4.725739002227783, -8.782590866088867, -3.5398736000061035, 3.8142387866973877, 5.142062664031982, 2.162053346633911, 4.09642219543457, -6.416221618652344, 12.747454643249512, 1.9429889917373657, -15.152948379516602, 6.417416572570801, 16.097013473510742, -9.716649055480957, -1.9920448064804077, -3.364956855773926, -1.8719490766525269, 11.567351341247559, 3.6978795528411865, 11.258269309997559, 7.442364692687988, 9.183405876159668, 4.528151512145996, -1.2417811155319214, 4.395910263061523, 6.672768592834473, 5.889888763427734, 7.627115249633789, -0.6692016124725342, -11.889703750610352, -9.208883285522461, -7.427401542663574, -3.777655601501465, 6.917237758636475, -9.848749160766602, -2.094479560852051, -5.1351189613342285, 0.49564215540885925, 9.317541122436523, -5.9141845703125, -1.809845209121704, -0.11738205701112747, -7.169270992279053, -1.0578246116638184, -5.721685886383057, -5.117387294769287, 16.137670516967773, -4.473618984222412, 7.66243314743042, -0.5538089871406555, 9.631582260131836, -6.470466613769531, -8.54850959777832, 4.371622085571289, -0.7970349192619324, 4.479003429412842, -2.9758646488189697, 3.2721707820892334, 2.8382749557495117, 5.1345953941345215, -9.19078254699707, -0.5657423138618469, -4.874573230743408, 2.316561460494995, -5.984307289123535, -2.1798791885375977, 0.35541653633117676, -0.3178458511829376, 9.493547439575195, 2.114448070526123, 4.358088493347168, -12.089820861816406, 8.451695442199707, -7.925461769104004, 4.624246120452881, 4.428938388824463, 18.691999435424805, -2.620460033416748, -5.149182319641113, -0.3582168221473694, 8.488557815551758, 4.98148250579834, -9.326834678649902, -2.2544236183166504, 6.64176607131958, 1.2119656801223755, 10.977132797241211, 16.55504035949707, 3.323848247528076, 9.55185317993164, -1.6677050590515137, -0.7953923940658569, -8.605660438537598, -0.4735637903213501, 2.6741855144500732, -5.359188079833984, -2.6673784255981445, 0.6660736799240112, 15.443212509155273, 4.740597724914551, -3.4725306034088135, 11.592561721801758, -2.05450701713562, 1.7361239194869995, -8.26533031463623, -9.304476737976074, 5.406835079193115, -1.5180232524871826, -7.746610641479492, -6.089605331420898, 0.07112561166286469, -0.34904858469963074, -8.649889945983887, -9.998958587646484, -2.5648481845855713, -0.5399898886680603, 2.6018145084381104, -0.31927648186683655, -1.8815231323242188, -2.0721378326416016, -3.4105639457702637, -8.299802780151367, 1.4836379289627075, -15.366002082824707, -8.288193702697754, 3.884773015975952, -3.4876506328582764, 7.362995624542236, 0.4657321572303772, 3.1326000690460205, 12.438883781433105, -1.8337029218673706, 4.532927513122559, 2.726433277130127, 10.145345687866211, -6.521956920623779, 2.8971481323242188, -3.3925881385803223, 5.079156398773193, 7.759725093841553, 4.677562236785889, 5.8457818031311035, 2.4023921489715576, 7.707108974456787, 3.9711389541625977, -6.390035152435303, 6.126871109008789, -3.776031017303467, -11.118141174316406]}} + [2022-08-01 09:01:27,094] [ INFO] - Response time 4.941739 s. ``` * Python API ``` python from paddlespeech.server.bin.paddlespeech_client import VectorClientExecutor + import json vectorclient_executor = VectorClientExecutor() res = vectorclient_executor( @@ -295,12 +293,12 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee server_ip="127.0.0.1", port=8090, task="spk") - print(res) + print(res.json()) ``` 输出: ```text - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [-1.3251205682754517, 7.860682487487793, -4.620625972747803, 0.3000721037387848, 2.2648534774780273, -1.1931440830230713, 3.064713716506958, 7.673594951629639, -6.004472732543945, -12.024259567260742, -1.9496068954467773, 3.126953601837158, 1.6188379526138306, -7.638310432434082, -1.2299772500991821, -12.33833122253418, 2.1373026371002197, -5.395712375640869, 9.717328071594238, 5.675230503082275, 3.7805123329162598, 3.0597171783447266, 3.429692029953003, 8.9760103225708, 13.174124717712402, -0.5313228368759155, 8.942471504211426, 4.465109825134277, -4.426247596740723, -9.726503372192383, 8.399328231811523, 7.223917484283447, -7.435853958129883, 2.9441683292388916, -4.343039512634277, -13.886964797973633, -1.6346734762191772, -10.902740478515625, -5.311244964599609, 3.800722122192383, 3.897603750228882, -2.123077392578125, -2.3521194458007812, 4.151031017303467, -7.404866695404053, 0.13911646604537964, 2.4626107215881348, 4.96645450592041, 0.9897574186325073, 5.483975410461426, -3.3574001789093018, 10.13400650024414, -0.6120170950889587, -10.403095245361328, 4.600754261016846, 16.009349822998047, -7.78369140625, -4.194530487060547, -6.93686056137085, 1.1789555549621582, 11.490800857543945, 4.23802375793457, 9.550930976867676, 8.375045776367188, 7.508914470672607, -0.6570729613304138, -0.3005157709121704, 2.8406054973602295, 3.0828027725219727, 0.7308170199394226, 6.1483540534973145, 0.1376611888408661, -13.424735069274902, -7.746140480041504, -2.322798252105713, -8.305252075195312, 2.98791241645813, -10.99522876739502, 0.15211068093776703, -2.3820347785949707, -1.7984174489974976, 8.49562931060791, -5.852236747741699, -3.755497932434082, 0.6989710927009583, -5.270299434661865, -2.6188621520996094, -1.8828465938568115, -4.6466498374938965, 14.078543663024902, -0.5495333075523376, 10.579157829284668, -3.216050148010254, 9.349003791809082, -4.381077766418457, -11.675816535949707, -2.863020658493042, 4.5721755027771, 2.246612071990967, -4.574341773986816, 1.8610187768936157, 2.3767874240875244, 5.625787734985352, -9.784077644348145, 0.6496725678443909, -1.457950472831726, 0.4263263940811157, -4.921126365661621, -2.4547839164733887, 3.4869801998138428, -0.4265422224998474, 8.341268539428711, 1.356552004814148, 7.096688270568848, -13.102828979492188, 8.01673412322998, -7.115934371948242, 1.8699780702590942, 0.20872099697589874, 14.699383735656738, -1.0252779722213745, -2.6107232570648193, -2.5082311630249023, 8.427192687988281, 6.913852691650391, -6.29124641418457, 0.6157366037368774, 2.489687919616699, -3.4668266773223877, 9.92176342010498, 11.200815200805664, -0.19664029777050018, 7.491600513458252, -0.6231271624565125, -0.2584814429283142, -9.947997093200684, -0.9611040949821472, 1.1649218797683716, -2.1907122135162354, -1.502848744392395, -0.5192610621452332, 15.165953636169434, 2.4649462699890137, -0.998044490814209, 7.44166374206543, -2.0768048763275146, 3.5896823406219482, -7.305543422698975, -7.562084674835205, 4.32333517074585, 0.08044180274009705, -6.564010143280029, -2.314805269241333, -1.7642345428466797, -2.470881700515747, -7.6756181716918945, -9.548877716064453, -1.017755389213562, 0.1698644608259201, 2.5877134799957275, -1.8752295970916748, -0.36614322662353516, -6.049378395080566, -2.3965611457824707, -5.945338726043701, 0.9424033164978027, -13.155974388122559, -7.45780086517334, 0.14658108353614807, -3.7427968978881836, 5.841492652893066, -1.2872905731201172, 5.569431304931641, 12.570590019226074, 1.0939218997955322, 2.2142086029052734, 1.9181575775146484, 6.991420745849609, -5.888138771057129, 3.1409823894500732, -2.0036280155181885, 2.4434285163879395, 9.973138809204102, 5.036680221557617, 2.005120277404785, 2.861560344696045, 5.860223770141602, 2.917618751525879, -1.63111412525177, 2.0292205810546875, -4.070415019989014, -6.831437110900879]}} + {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'vec': [1.4217487573623657, 5.626248836517334, -5.342073440551758, 1.177390217781067, 3.308061122894287, 1.7565997838974, 5.1678876876831055, 10.806346893310547, -3.822679042816162, -5.614130973815918, 2.6238481998443604, -0.8072965741157532, 1.963512659072876, -7.312864780426025, 0.011034967377781868, -9.723127365112305, 0.661963164806366, -6.976816654205322, 10.213465690612793, 7.494767189025879, 2.9105641841888428, 3.894925117492676, 3.7999846935272217, 7.106173992156982, 16.905324935913086, -7.149376392364502, 8.733112335205078, 3.423002004623413, -4.831653118133545, -11.403371810913086, 11.232216835021973, 7.127464771270752, -4.282831192016602, 2.4523589611053467, -5.13075065612793, -18.17765998840332, -2.611666440963745, -11.00034236907959, -6.731431007385254, 1.6564655303955078, 0.7618184685707092, 1.1253058910369873, -2.0838277339935303, 4.725739002227783, -8.782590866088867, -3.5398736000061035, 3.8142387866973877, 5.142062664031982, 2.162053346633911, 4.09642219543457, -6.416221618652344, 12.747454643249512, 1.9429889917373657, -15.152948379516602, 6.417416572570801, 16.097013473510742, -9.716649055480957, -1.9920448064804077, -3.364956855773926, -1.8719490766525269, 11.567351341247559, 3.6978795528411865, 11.258269309997559, 7.442364692687988, 9.183405876159668, 4.528151512145996, -1.2417811155319214, 4.395910263061523, 6.672768592834473, 5.889888763427734, 7.627115249633789, -0.6692016124725342, -11.889703750610352, -9.208883285522461, -7.427401542663574, -3.777655601501465, 6.917237758636475, -9.848749160766602, -2.094479560852051, -5.1351189613342285, 0.49564215540885925, 9.317541122436523, -5.9141845703125, -1.809845209121704, -0.11738205701112747, -7.169270992279053, -1.0578246116638184, -5.721685886383057, -5.117387294769287, 16.137670516967773, -4.473618984222412, 7.66243314743042, -0.5538089871406555, 9.631582260131836, -6.470466613769531, -8.54850959777832, 4.371622085571289, -0.7970349192619324, 4.479003429412842, -2.9758646488189697, 3.2721707820892334, 2.8382749557495117, 5.1345953941345215, -9.19078254699707, -0.5657423138618469, -4.874573230743408, 2.316561460494995, -5.984307289123535, -2.1798791885375977, 0.35541653633117676, -0.3178458511829376, 9.493547439575195, 2.114448070526123, 4.358088493347168, -12.089820861816406, 8.451695442199707, -7.925461769104004, 4.624246120452881, 4.428938388824463, 18.691999435424805, -2.620460033416748, -5.149182319641113, -0.3582168221473694, 8.488557815551758, 4.98148250579834, -9.326834678649902, -2.2544236183166504, 6.64176607131958, 1.2119656801223755, 10.977132797241211, 16.55504035949707, 3.323848247528076, 9.55185317993164, -1.6677050590515137, -0.7953923940658569, -8.605660438537598, -0.4735637903213501, 2.6741855144500732, -5.359188079833984, -2.6673784255981445, 0.6660736799240112, 15.443212509155273, 4.740597724914551, -3.4725306034088135, 11.592561721801758, -2.05450701713562, 1.7361239194869995, -8.26533031463623, -9.304476737976074, 5.406835079193115, -1.5180232524871826, -7.746610641479492, -6.089605331420898, 0.07112561166286469, -0.34904858469963074, -8.649889945983887, -9.998958587646484, -2.5648481845855713, -0.5399898886680603, 2.6018145084381104, -0.31927648186683655, -1.8815231323242188, -2.0721378326416016, -3.4105639457702637, -8.299802780151367, 1.4836379289627075, -15.366002082824707, -8.288193702697754, 3.884773015975952, -3.4876506328582764, 7.362995624542236, 0.4657321572303772, 3.1326000690460205, 12.438883781433105, -1.8337029218673706, 4.532927513122559, 2.726433277130127, 10.145345687866211, -6.521956920623779, 2.8971481323242188, -3.3925881385803223, 5.079156398773193, 7.759725093841553, 4.677562236785889, 5.8457818031311035, 2.4023921489715576, 7.707108974456787, 3.9711389541625977, -6.390035152435303, 6.126871109008789, -3.776031017303467, -11.118141174316406]}} ``` #### 7.2 音频声纹打分 @@ -330,18 +328,18 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee 输出: ```text - [2022-05-25 12:33:24,527] [ INFO] - vector score http client start - [2022-05-25 12:33:24,527] [ INFO] - enroll audio: 85236145389.wav, test audio: 123456789.wav - [2022-05-25 12:33:24,528] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector/score - [2022-05-25 12:33:24,695] [ INFO] - The vector score is: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}} - [2022-05-25 12:33:24,696] [ INFO] - The vector: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}} - [2022-05-25 12:33:24,696] [ INFO] - Response time 0.168271 s. + [2022-08-01 09:04:42,275] [ INFO] - vector score http client start + [2022-08-01 09:04:42,275] [ INFO] - enroll audio: 85236145389.wav, test audio: 123456789.wav + [2022-08-01 09:04:42,275] [ INFO] - endpoint: http://127.0.0.1:8090/paddlespeech/vector/score + [2022-08-01 09:04:44,611] [ INFO] - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.4292638897895813}} + [2022-08-01 09:04:44,611] [ INFO] - Response time 2.336258 s. ``` * Python API ```python from paddlespeech.server.bin.paddlespeech_client import VectorClientExecutor + import json vectorclient_executor = VectorClientExecutor() res = vectorclient_executor( @@ -351,16 +349,12 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee server_ip="127.0.0.1", port=8090, task="score") - print(res) + print(res.json()) ``` 输出: ```text - [2022-05-25 12:30:14,143] [ INFO] - vector score http client start - [2022-05-25 12:30:14,143] [ INFO] - enroll audio: 85236145389.wav, test audio: 123456789.wav - [2022-05-25 12:30:14,143] [ INFO] - endpoint: http://127.0.0.1:8790/paddlespeech/vector/score - [2022-05-25 12:30:14,363] [ INFO] - The vector score is: {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}} - {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.45332613587379456}} + {'success': True, 'code': 200, 'message': {'description': 'success'}, 'result': {'score': 0.4292638897895813}} ``` ### 8. 标点预测 diff --git a/paddlespeech/server/bin/paddlespeech_client.py b/paddlespeech/server/bin/paddlespeech_client.py index 96368c0f3..f5dc368dd 100644 --- a/paddlespeech/server/bin/paddlespeech_client.py +++ b/paddlespeech/server/bin/paddlespeech_client.py @@ -550,11 +550,9 @@ class CLSClientExecutor(BaseExecutor): """ Python API to call an executor. """ - url = 'http://' + server_ip + ":" + str(port) + '/paddlespeech/cls' audio = wav2base64(input) data = {"audio": audio, "topk": topk} - res = requests.post(url=url, data=json.dumps(data)) return res @@ -679,6 +677,7 @@ class VectorClientExecutor(BaseExecutor): test_audio=args.test, task=task) time_end = time.time() + logger.info(res.json()) logger.info("Response time %f s." % (time_end - time_start)) return True except Exception as e: @@ -718,7 +717,6 @@ class VectorClientExecutor(BaseExecutor): logger.info(f"the input audio: {input}") handler = VectorHttpHandler(server_ip=server_ip, port=port) res = handler.run(input, audio_format, sample_rate) - logger.info(f"The spk embedding is: {res}") return res elif task == "score": from paddlespeech.server.utils.audio_handler import VectorScoreHttpHandler @@ -728,7 +726,6 @@ class VectorClientExecutor(BaseExecutor): handler = VectorScoreHttpHandler(server_ip=server_ip, port=port) res = handler.run(enroll_audio, test_audio, audio_format, sample_rate) - logger.info(f"The vector score is: {res}") return res else: logger.error(f"Sorry, we have not support such task {task}") diff --git a/paddlespeech/server/utils/audio_handler.py b/paddlespeech/server/utils/audio_handler.py index b5629037a..43b73d6eb 100644 --- a/paddlespeech/server/utils/audio_handler.py +++ b/paddlespeech/server/utils/audio_handler.py @@ -554,7 +554,7 @@ class VectorHttpHandler: res = requests.post(url=self.url, data=json.dumps(data)) - return res.json() + return res class VectorScoreHttpHandler: @@ -602,4 +602,4 @@ class VectorScoreHttpHandler: res = requests.post(url=self.url, data=json.dumps(data)) - return res.json() + return res From ab33b0d2995fa5e758f69fe78a4467f427cc6f18 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Mon, 1 Aug 2022 09:52:25 +0000 Subject: [PATCH 155/192] add wav url, test=doc --- demos/speech_server/README.md | 29 ++++++++++++++++++++-------- demos/speech_server/README_cn.md | 33 +++++++++++++++++++++----------- 2 files changed, 43 insertions(+), 19 deletions(-) diff --git a/demos/speech_server/README.md b/demos/speech_server/README.md index 48c823e28..e400f7e74 100644 --- a/demos/speech_server/README.md +++ b/demos/speech_server/README.md @@ -26,14 +26,6 @@ At present, the speech tasks integrated by the service include: asr (speech reco Currently the engine type supports two forms: python and inference (Paddle Inference) **Note:** If the service can be started normally in the container, but the client access IP is unreachable, you can try to replace the `host` address in the configuration file with the local IP address. - -The input of ASR client demo should be a WAV file(`.wav`), and the sample rate must be the same as the model. - -Here are sample files for thisASR client demo that can be downloaded: -```bash -wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespeech.bj.bcebos.com/PaddleAudio/en.wav -``` - ### 3. Server Usage - Command Line (Recommended) @@ -86,6 +78,15 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee ### 4. ASR Client Usage + +The input of ASR client demo should be a WAV file(`.wav`), and the sample rate must be the same as the model. + +Here are sample files for this ASR client demo that can be downloaded: +```bash +wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav +wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/en.wav +``` + **Note:** The response time will be slightly longer when using the client for the first time - Command Line (Recommended) @@ -194,6 +195,12 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee ``` ### 6. CLS Client Usage + +Here are sample files for this CLS Client demo that can be downloaded: +```bash +wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav +``` + **Note:** The response time will be slightly longer when using the client for the first time - Command Line (Recommended) @@ -242,6 +249,12 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee ### 7. Speaker Verification Client Usage +Here are sample files for this Speaker Verification Client demo that can be downloaded: +```bash +wget -c https://paddlespeech.bj.bcebos.com/vector/audio/85236145389.wav +wget -c https://paddlespeech.bj.bcebos.com/vector/audio/123456789.wav +``` + #### 7.1 Extract speaker embedding **Note:** The response time will be slightly longer when using the client for the first time - Command Line (Recommended) diff --git a/demos/speech_server/README_cn.md b/demos/speech_server/README_cn.md index 72d2c58d6..628468c83 100644 --- a/demos/speech_server/README_cn.md +++ b/demos/speech_server/README_cn.md @@ -29,14 +29,6 @@ 目前引擎类型支持两种形式：python 及 inference (Paddle Inference) **注意：** 如果在容器里可正常启动服务，但客户端访问 ip 不可达，可尝试将配置文件中 `host` 地址换成本地 ip 地址。 - -ASR client 的输入是一个 WAV 文件（`.wav`），并且采样率必须与模型的采样率相同。 - -可以下载此 ASR client 的示例音频： -```bash -wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespeech.bj.bcebos.com/PaddleAudio/en.wav -``` - ### 3. 服务端使用方法 - 命令行 (推荐使用) @@ -88,6 +80,15 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee ``` ### 4. ASR 客户端使用方法 + +ASR 客户端的输入是一个 WAV 文件（`.wav`），并且采样率必须与模型的采样率相同。 + +可以下载 ASR 客户端的示例音频： +```bash +wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav +wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/en.wav +``` + **注意：** 初次使用客户端时响应时间会略长 - 命令行 (推荐使用) @@ -95,7 +96,6 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee ``` paddlespeech_client asr --server_ip 127.0.0.1 --port 8090 --input ./zh.wav - ``` 使用帮助: @@ -201,6 +201,11 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee ### 6. CLS 客户端使用方法 +可以下载 CLS 客户端的示例音频： +```bash +wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav +``` + **注意：** 初次使用客户端时响应时间会略长 - 命令行 (推荐使用) @@ -249,8 +254,14 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee ### 7. 声纹客户端使用方法 +可以下载声纹客户端的示例音频： +```bash +wget -c https://paddlespeech.bj.bcebos.com/vector/audio/85236145389.wav +wget -c https://paddlespeech.bj.bcebos.com/vector/audio/123456789.wav +``` + #### 7.1 提取声纹特征 -注意： 初次使用客户端时响应时间会略长 +**注意：** 初次使用客户端时响应时间会略长 * 命令行 (推荐使用) 若 `127.0.0.1` 不能访问，则需要使用实际服务 IP 地址 @@ -303,7 +314,7 @@ wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespee #### 7.2 音频声纹打分 -注意： 初次使用客户端时响应时间会略长 +**注意：** 初次使用客户端时响应时间会略长 * 命令行 (推荐使用) 若 `127.0.0.1` 不能访问，则需要使用实际服务 IP 地址 From 851ffd11a97465d2edd7aba420eebc44c3f8d37c Mon Sep 17 00:00:00 2001 From: TianYuan Date: Tue, 2 Aug 2022 03:38:38 +0000 Subject: [PATCH 156/192] replace default vocoder in seerver to mb_melgan, test=doc --- demos/speech_server/conf/application.yaml | 20 ++++++++++--------- .../conf/tts_online_application.yaml | 4 ++-- .../conf/tts_online_ws_application.yaml | 4 ++-- 3 files changed, 15 insertions(+), 13 deletions(-) diff --git a/demos/speech_server/conf/application.yaml b/demos/speech_server/conf/application.yaml index c6588ce80..9c171c470 100644 --- a/demos/speech_server/conf/application.yaml +++ b/demos/speech_server/conf/application.yaml @@ -7,7 +7,7 @@ host: 0.0.0.0 port: 8090 # The task format in the engin_list is: _ -# task choices = ['asr_python', 'asr_inference', 'tts_python', 'tts_inference', 'cls_python', 'cls_inference'] +# task choices = ['asr_python', 'asr_inference', 'tts_python', 'tts_inference', 'cls_python', 'cls_inference', 'text_python', 'vector_python'] protocol: 'http' engine_list: ['asr_python', 'tts_python', 'cls_python', 'text_python', 'vector_python'] @@ -28,7 +28,6 @@ asr_python: force_yes: True device: # set 'gpu:id' or 'cpu' - ################### speech task: asr; engine_type: inference ####################### asr_inference: # model_type choices=['deepspeech2offline_aishell'] @@ -50,10 +49,11 @@ asr_inference: ################################### TTS ######################################### ################### speech task: tts; engine_type: python ####################### -tts_python: - # am (acoustic model) choices=['speedyspeech_csmsc', 'fastspeech2_csmsc', - # 'fastspeech2_ljspeech', 'fastspeech2_aishell3', - # 'fastspeech2_vctk'] +tts_python: + # am (acoustic model) choices=['speedyspeech_csmsc', 'fastspeech2_csmsc', + # 'fastspeech2_ljspeech', 'fastspeech2_aishell3', + # 'fastspeech2_vctk', 'fastspeech2_mix', + # 'tacotron2_csmsc', 'tacotron2_ljspeech'] am: 'fastspeech2_csmsc' am_config: am_ckpt: @@ -64,8 +64,10 @@ tts_python: spk_id: 0 # voc (vocoder) choices=['pwgan_csmsc', 'pwgan_ljspeech', 'pwgan_aishell3', - # 'pwgan_vctk', 'mb_melgan_csmsc'] - voc: 'pwgan_csmsc' + # 'pwgan_vctk', 'mb_melgan_csmsc', 'style_melgan_csmsc', + # 'hifigan_csmsc', 'hifigan_ljspeech', 'hifigan_aishell3', + # 'hifigan_vctk', 'wavernn_csmsc'] + voc: 'mb_melgan_csmsc' voc_config: voc_ckpt: voc_stat: @@ -94,7 +96,7 @@ tts_inference: summary: True # False -> do not show predictor config # voc (vocoder) choices=['pwgan_csmsc', 'mb_melgan_csmsc','hifigan_csmsc'] - voc: 'pwgan_csmsc' + voc: 'mb_melgan_csmsc' voc_model: # the pdmodel file of your vocoder static model (XX.pdmodel) voc_params: # the pdiparams file of your vocoder static model (XX.pdipparams) voc_sample_rate: 24000 diff --git a/demos/streaming_tts_server/conf/tts_online_application.yaml b/demos/streaming_tts_server/conf/tts_online_application.yaml index 0460a5e16..e617912fe 100644 --- a/demos/streaming_tts_server/conf/tts_online_application.yaml +++ b/demos/streaming_tts_server/conf/tts_online_application.yaml @@ -79,7 +79,7 @@ tts_online-onnx: # voc (vocoder) choices=['mb_melgan_csmsc_onnx, hifigan_csmsc_onnx'] # Both mb_melgan_csmsc_onnx and hifigan_csmsc_onnx support streaming voc inference - voc: 'hifigan_csmsc_onnx' + voc: 'mb_melgan_csmsc_onnx' voc_ckpt: voc_sample_rate: 24000 voc_sess_conf: @@ -100,4 +100,4 @@ tts_online-onnx: voc_pad: 14 # voc_upsample should be same as n_shift on voc config. voc_upsample: 300 - + \ No newline at end of file diff --git a/demos/streaming_tts_server/conf/tts_online_ws_application.yaml b/demos/streaming_tts_server/conf/tts_online_ws_application.yaml index 146f06f15..329f882cc 100644 --- a/demos/streaming_tts_server/conf/tts_online_ws_application.yaml +++ b/demos/streaming_tts_server/conf/tts_online_ws_application.yaml @@ -79,7 +79,7 @@ tts_online-onnx: # voc (vocoder) choices=['mb_melgan_csmsc_onnx, hifigan_csmsc_onnx'] # Both mb_melgan_csmsc_onnx and hifigan_csmsc_onnx support streaming voc inference - voc: 'hifigan_csmsc_onnx' + voc: 'mb_melgan_csmsc_onnx' voc_ckpt: voc_sample_rate: 24000 voc_sess_conf: @@ -100,4 +100,4 @@ tts_online-onnx: voc_pad: 14 # voc_upsample should be same as n_shift on voc config. voc_upsample: 300 - + \ No newline at end of file From 060e33762352abcbf508e72ec6ec8fe69b1bdf04 Mon Sep 17 00:00:00 2001 From: huangyuxin Date: Tue, 2 Aug 2022 09:29:49 +0000 Subject: [PATCH 157/192] fix dataloader factory, test=asr --- paddlespeech/s2t/io/dataloader.py | 1 + 1 file changed, 1 insertion(+) diff --git a/paddlespeech/s2t/io/dataloader.py b/paddlespeech/s2t/io/dataloader.py index 831830241..735d29da2 100644 --- a/paddlespeech/s2t/io/dataloader.py +++ b/paddlespeech/s2t/io/dataloader.py @@ -389,6 +389,7 @@ class DataLoaderFactory(): config['mini_batch_size'] = args.ngpu config['subsampling_factor'] = 1 config['num_encs'] = 1 + config['shortest_first'] = False elif mode == 'valid': config['manifest'] = config.dev_manifest config['train_mode'] = False From 923b0b873e193e8831988613c6d27e33716369b0 Mon Sep 17 00:00:00 2001 From: huangyuxin Date: Tue, 2 Aug 2022 09:31:01 +0000 Subject: [PATCH 158/192] fix import kws.exps.mdtc --- paddlespeech/kws/exps/__init__.py | 0 paddlespeech/kws/exps/mdtc/__init__.py | 0 2 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 paddlespeech/kws/exps/__init__.py create mode 100644 paddlespeech/kws/exps/mdtc/__init__.py diff --git a/paddlespeech/kws/exps/__init__.py b/paddlespeech/kws/exps/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/paddlespeech/kws/exps/mdtc/__init__.py b/paddlespeech/kws/exps/mdtc/__init__.py new file mode 100644 index 000000000..e69de29bb From dca51c5131f0fc2959b508964e36219473d46097 Mon Sep 17 00:00:00 2001 From: huangyuxin Date: Wed, 3 Aug 2022 03:04:35 +0000 Subject: [PATCH 159/192] fix wenetspeech conf, test=asr --- examples/wenetspeech/asr1/conf/conformer.yaml | 1 + examples/wenetspeech/asr1/local/export.sh | 28 +++++++++++++++++++ 2 files changed, 29 insertions(+) create mode 100755 examples/wenetspeech/asr1/local/export.sh diff --git a/examples/wenetspeech/asr1/conf/conformer.yaml b/examples/wenetspeech/asr1/conf/conformer.yaml index d1ac20b9b..8a44db1e8 100644 --- a/examples/wenetspeech/asr1/conf/conformer.yaml +++ b/examples/wenetspeech/asr1/conf/conformer.yaml @@ -37,6 +37,7 @@ model_conf: ctc_weight: 0.3 lsm_weight: 0.1 # label smoothing option length_normalized_loss: false + init_type: 'kaiming_uniform' # !Warning: need to convergence # https://yaml.org/type/float.html ########################################### diff --git a/examples/wenetspeech/asr1/local/export.sh b/examples/wenetspeech/asr1/local/export.sh new file mode 100755 index 000000000..6b646b469 --- /dev/null +++ b/examples/wenetspeech/asr1/local/export.sh @@ -0,0 +1,28 @@ +#!/bin/bash + +if [ $# != 3 ];then + echo "usage: $0 config_path ckpt_prefix jit_model_path" + exit -1 +fi + +ngpu=$(echo $CUDA_VISIBLE_DEVICES | awk -F "," '{print NF}') +echo "using $ngpu gpus..." + +config_path=$1 +ckpt_path_prefix=$2 +jit_model_export_path=$3 + +python3 -u ${BIN_DIR}/export.py \ +--ngpu ${ngpu} \ +--config ${config_path} \ +--checkpoint_path ${ckpt_path_prefix} \ +--export_path ${jit_model_export_path} + + +if [ $? -ne 0 ]; then + echo "Failed in export!" + exit 1 +fi + + +exit 0 From ac2a9ec9007ab54b479811ffbff0f7aa75c6b391 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Wed, 3 Aug 2022 07:48:06 +0000 Subject: [PATCH 160/192] fix version of onnxruntime --- docs/requirements.txt | 2 +- setup.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/requirements.txt b/docs/requirements.txt index bf1486c5e..77dc609e7 100644 --- a/docs/requirements.txt +++ b/docs/requirements.txt @@ -18,7 +18,7 @@ librosa==0.8.1 loguru matplotlib nara_wpe -onnxruntime +onnxruntime-gpu==1.10.0 pandas paddlenlp paddlespeech_feat diff --git a/setup.py b/setup.py index 1cc82fa76..6809411f7 100644 --- a/setup.py +++ b/setup.py @@ -44,7 +44,7 @@ base = [ "loguru", "matplotlib", "nara_wpe", - "onnxruntime", + "onnxruntime-gpu==1.10.0", "pandas", "paddlenlp", "paddlespeech_feat", From 24ae1c063eb30bfa19e0fe5887cfc9c3a94eda42 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Wed, 3 Aug 2022 08:11:34 +0000 Subject: [PATCH 161/192] onnxruntime doesn't support gpu for mac --- docs/requirements.txt | 2 +- setup.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/requirements.txt b/docs/requirements.txt index 77dc609e7..d6e27e226 100644 --- a/docs/requirements.txt +++ b/docs/requirements.txt @@ -18,7 +18,7 @@ librosa==0.8.1 loguru matplotlib nara_wpe -onnxruntime-gpu==1.10.0 +onnxruntime==1.10.0 pandas paddlenlp paddlespeech_feat diff --git a/setup.py b/setup.py index 6809411f7..c1be724fb 100644 --- a/setup.py +++ b/setup.py @@ -44,7 +44,7 @@ base = [ "loguru", "matplotlib", "nara_wpe", - "onnxruntime-gpu==1.10.0", + "onnxruntime==1.10.0", "pandas", "paddlenlp", "paddlespeech_feat", From b9ade18055c999850d7a8ea8e6b91b7b30cd0abf Mon Sep 17 00:00:00 2001 From: TianYuan Date: Wed, 3 Aug 2022 12:10:59 +0000 Subject: [PATCH 162/192] add onnxruntime infer for cli --- examples/aishell3/tts3/run.sh | 2 +- examples/ljspeech/tts3/run.sh | 2 +- examples/vctk/tts3/run.sh | 2 +- paddlespeech/cli/tts/infer.py | 350 +++++++++++++----- paddlespeech/resource/pretrained_models.py | 2 +- paddlespeech/t2s/exps/inference.py | 5 - paddlespeech/t2s/exps/inference_streaming.py | 16 +- paddlespeech/t2s/exps/ort_predict.py | 12 +- paddlespeech/t2s/exps/ort_predict_e2e.py | 91 ++--- .../t2s/exps/ort_predict_streaming.py | 44 ++- paddlespeech/t2s/exps/syn_utils.py | 110 +++--- paddlespeech/t2s/exps/synthesize_e2e.py | 33 +- paddlespeech/t2s/exps/synthesize_streaming.py | 17 +- paddlespeech/t2s/frontend/mix_frontend.py | 8 +- paddlespeech/t2s/frontend/phonectic.py | 9 +- paddlespeech/t2s/frontend/zh_frontend.py | 28 +- 16 files changed, 450 insertions(+), 281 deletions(-) diff --git a/examples/aishell3/tts3/run.sh b/examples/aishell3/tts3/run.sh index 868087a01..24715fee1 100755 --- a/examples/aishell3/tts3/run.sh +++ b/examples/aishell3/tts3/run.sh @@ -54,7 +54,7 @@ if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then fi -# inference with onnxruntime, use fastspeech2 + hifigan by default +# inference with onnxruntime, use fastspeech2 + pwgan by default if [ ${stage} -le 6 ] && [ ${stop_stage} -ge 6 ]; then ./local/ort_predict.sh ${train_output_path} fi diff --git a/examples/ljspeech/tts3/run.sh b/examples/ljspeech/tts3/run.sh index c4a596386..260f06c8b 100755 --- a/examples/ljspeech/tts3/run.sh +++ b/examples/ljspeech/tts3/run.sh @@ -55,7 +55,7 @@ if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then # ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx hifigan_ljspeech fi -# inference with onnxruntime, use fastspeech2 + hifigan by default +# inference with onnxruntime, use fastspeech2 + pwgan by default if [ ${stage} -le 6 ] && [ ${stop_stage} -ge 6 ]; then ./local/ort_predict.sh ${train_output_path} fi diff --git a/examples/vctk/tts3/run.sh b/examples/vctk/tts3/run.sh index 3d2a4a947..b45afd7be 100755 --- a/examples/vctk/tts3/run.sh +++ b/examples/vctk/tts3/run.sh @@ -54,7 +54,7 @@ if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then fi -# inference with onnxruntime, use fastspeech2 + hifigan by default +# inference with onnxruntime, use fastspeech2 + pwgan by default if [ ${stage} -le 6 ] && [ ${stop_stage} -ge 6 ]; then ./local/ort_predict.sh ${train_output_path} fi diff --git a/paddlespeech/cli/tts/infer.py b/paddlespeech/cli/tts/infer.py index 65750e1a8..4d5ddb754 100644 --- a/paddlespeech/cli/tts/infer.py +++ b/paddlespeech/cli/tts/infer.py @@ -29,10 +29,21 @@ from yacs.config import CfgNode from ..executor import BaseExecutor from ..log import logger from ..utils import stats_wrapper +from paddlespeech.resource import CommonTaskResource +from paddlespeech.t2s.exps.syn_utils import get_am_inference from paddlespeech.t2s.exps.syn_utils import get_frontend -from paddlespeech.t2s.modules.normalizer import ZScore +from paddlespeech.t2s.exps.syn_utils import get_sess +from paddlespeech.t2s.exps.syn_utils import get_voc_inference +from paddlespeech.t2s.exps.syn_utils import run_frontend +from paddlespeech.t2s.utils import str2bool __all__ = ['TTSExecutor'] +ONNX_SUPPORT_SET = { + 'speedyspeech_csmsc', 'fastspeech2_csmsc', 'fastspeech2_ljspeech', + 'fastspeech2_aishell3', 'fastspeech2_vctk', 'pwgan_csmsc', 'pwgan_ljspeech', + 'pwgan_aishell3', 'pwgan_vctk', 'mb_melgan_csmsc', 'hifigan_csmsc', + 'hifigan_ljspeech', 'hifigan_aishell3', 'hifigan_vctk' +} class TTSExecutor(BaseExecutor): @@ -142,6 +153,8 @@ class TTSExecutor(BaseExecutor): default=paddle.get_device(), help='Choose device to execute model inference.') + self.parser.add_argument('--cpu_threads', type=int, default=2) + self.parser.add_argument( '--output', type=str, default='output.wav', help='output file name') self.parser.add_argument( @@ -154,6 +167,11 @@ class TTSExecutor(BaseExecutor): '--verbose', action='store_true', help='Increase logger verbosity of current task.') + self.parser.add_argument( + "--use_onnx", + type=str2bool, + default=False, + help="whether to usen onnxruntime inference.") def _init_from_path( self, @@ -164,7 +182,7 @@ class TTSExecutor(BaseExecutor): phones_dict: Optional[os.PathLike]=None, tones_dict: Optional[os.PathLike]=None, speaker_dict: Optional[os.PathLike]=None, - voc: str='pwgan_csmsc', + voc: str='hifigan_csmsc', voc_config: Optional[os.PathLike]=None, voc_ckpt: Optional[os.PathLike]=None, voc_stat: Optional[os.PathLike]=None, @@ -288,58 +306,111 @@ class TTSExecutor(BaseExecutor): lang=lang, phones_dict=self.phones_dict, tones_dict=self.tones_dict) # acoustic model - odim = self.am_config.n_mels - # model: {model_name}_{dataset} - am_name = am[:am.rindex('_')] - - am_class = self.task_resource.get_model_class(am_name) - am_inference_class = self.task_resource.get_model_class(am_name + - '_inference') - - if am_name == 'fastspeech2': - am = am_class( - idim=vocab_size, - odim=odim, - spk_num=spk_num, - **self.am_config["model"]) - elif am_name == 'speedyspeech': - am = am_class( - vocab_size=vocab_size, - tone_size=tone_size, - **self.am_config["model"]) - elif am_name == 'tacotron2': - am = am_class(idim=vocab_size, odim=odim, **self.am_config["model"]) - - am.set_state_dict(paddle.load(self.am_ckpt)["main_params"]) - am.eval() - am_mu, am_std = np.load(self.am_stat) - am_mu = paddle.to_tensor(am_mu) - am_std = paddle.to_tensor(am_std) - am_normalizer = ZScore(am_mu, am_std) - self.am_inference = am_inference_class(am_normalizer, am) - self.am_inference.eval() + self.am_inference = get_am_inference( + am=am, + am_config=self.am_config, + am_ckpt=self.am_ckpt, + am_stat=self.am_stat, + phones_dict=self.phones_dict, + tones_dict=self.tones_dict, + speaker_dict=self.speaker_dict) # vocoder - # model: {model_name}_{dataset} - voc_name = voc[:voc.rindex('_')] - voc_class = self.task_resource.get_model_class(voc_name) - voc_inference_class = self.task_resource.get_model_class(voc_name + - '_inference') - if voc_name != 'wavernn': - voc = voc_class(**self.voc_config["generator_params"]) - voc.set_state_dict(paddle.load(self.voc_ckpt)["generator_params"]) - voc.remove_weight_norm() - voc.eval() + self.voc_inference = get_voc_inference( + voc=voc, + voc_config=self.voc_config, + voc_ckpt=self.voc_ckpt, + voc_stat=self.voc_stat) + + def _init_from_path_onnx(self, + am: str='fastspeech2_csmsc', + am_ckpt: Optional[os.PathLike]=None, + phones_dict: Optional[os.PathLike]=None, + tones_dict: Optional[os.PathLike]=None, + speaker_dict: Optional[os.PathLike]=None, + voc: str='hifigan_csmsc', + voc_ckpt: Optional[os.PathLike]=None, + lang: str='zh', + device: str='cpu', + cpu_threads: int=2, + fs: int=24000): + if hasattr(self, 'am_sess') and hasattr(self, 'voc_sess'): + logger.debug('Models had been initialized.') + return + + # am + if am_ckpt is None or phones_dict is None: + use_pretrained_am = True + else: + use_pretrained_am = False + + am_tag = am + '_onnx' + '-' + lang + self.task_resource.set_task_model( + model_tag=am_tag, + model_type=0, # am + skip_download=not use_pretrained_am, + version=None, # default version + ) + if use_pretrained_am: + self.am_res_path = self.task_resource.res_dir + self.am_ckpt = os.path.join(self.am_res_path, + self.task_resource.res_dict['ckpt'][0]) + # must have phones_dict in acoustic + self.phones_dict = os.path.join( + self.am_res_path, self.task_resource.res_dict['phones_dict']) + self.am_fs = self.task_resource.res_dict['sample_rate'] + logger.debug(self.am_res_path) + logger.debug(self.am_ckpt) + else: + self.am_ckpt = os.path.abspath(am_ckpt[0]) + self.phones_dict = os.path.abspath(phones_dict) + self.am_res_path = os.path.dirname(os.path.abspath(am_ckpt)) + self.am_fs = fs + + # for speedyspeech + self.tones_dict = None + if 'tones_dict' in self.task_resource.res_dict: + self.tones_dict = os.path.join( + self.am_res_path, self.task_resource.res_dict['tones_dict']) + if tones_dict: + self.tones_dict = tones_dict + + # voc + if voc_ckpt is None: + use_pretrained_voc = True + else: + use_pretrained_voc = False + voc_lang = lang + # we must use ljspeech's voc for mix am now! + if lang == 'mix': + voc_lang = 'en' + voc_tag = voc + '_onnx' + '-' + voc_lang + self.task_resource.set_task_model( + model_tag=voc_tag, + model_type=1, # vocoder + skip_download=not use_pretrained_voc, + version=None, # default version + ) + if use_pretrained_voc: + self.voc_res_path = self.task_resource.voc_res_dir + self.voc_ckpt = os.path.join( + self.voc_res_path, self.task_resource.voc_res_dict['ckpt']) + logger.debug(self.voc_res_path) + logger.debug(self.voc_ckpt) else: - voc = voc_class(**self.voc_config["model"]) - voc.set_state_dict(paddle.load(self.voc_ckpt)["main_params"]) - voc.eval() - voc_mu, voc_std = np.load(self.voc_stat) - voc_mu = paddle.to_tensor(voc_mu) - voc_std = paddle.to_tensor(voc_std) - voc_normalizer = ZScore(voc_mu, voc_std) - self.voc_inference = voc_inference_class(voc_normalizer, voc) - self.voc_inference.eval() + self.voc_ckpt = os.path.abspath(voc_ckpt) + self.voc_res_path = os.path.dirname(os.path.abspath(self.voc_ckpt)) + + # frontend + self.frontend = get_frontend( + lang=lang, phones_dict=self.phones_dict, tones_dict=self.tones_dict) + + self.am_sess = get_sess( + model_path=self.am_ckpt, device=device, cpu_threads=cpu_threads) + + # vocoder + self.voc_sess = get_sess( + model_path=self.voc_ckpt, device=device, cpu_threads=cpu_threads) def preprocess(self, input: Any, *args, **kwargs): """ @@ -362,40 +433,28 @@ class TTSExecutor(BaseExecutor): """ am_name = am[:am.rindex('_')] am_dataset = am[am.rindex('_') + 1:] - get_tone_ids = False merge_sentences = False - frontend_st = time.time() + get_tone_ids = False if am_name == 'speedyspeech': get_tone_ids = True - if lang == 'zh': - input_ids = self.frontend.get_input_ids( - text, - merge_sentences=merge_sentences, - get_tone_ids=get_tone_ids) - phone_ids = input_ids["phone_ids"] - if get_tone_ids: - tone_ids = input_ids["tone_ids"] - elif lang == 'en': - input_ids = self.frontend.get_input_ids( - text, merge_sentences=merge_sentences) - phone_ids = input_ids["phone_ids"] - elif lang == 'mix': - input_ids = self.frontend.get_input_ids( - text, merge_sentences=merge_sentences) - phone_ids = input_ids["phone_ids"] - else: - logger.error("lang should in {'zh', 'en', 'mix'}!") + frontend_st = time.time() + frontend_dict = run_frontend( + frontend=self.frontend, + text=text, + merge_sentences=merge_sentences, + get_tone_ids=get_tone_ids, + lang=lang) self.frontend_time = time.time() - frontend_st - self.am_time = 0 self.voc_time = 0 flags = 0 + phone_ids = frontend_dict['phone_ids'] for i in range(len(phone_ids)): am_st = time.time() part_phone_ids = phone_ids[i] # am if am_name == 'speedyspeech': - part_tone_ids = tone_ids[i] + part_tone_ids = frontend_dict['tone_ids'][i] mel = self.am_inference(part_phone_ids, part_tone_ids) # fastspeech2 else: @@ -417,6 +476,62 @@ class TTSExecutor(BaseExecutor): self.voc_time += (time.time() - voc_st) self._outputs['wav'] = wav_all + def infer_onnx(self, + text: str, + lang: str='zh', + am: str='fastspeech2_csmsc', + spk_id: int=0): + am_name = am[:am.rindex('_')] + am_dataset = am[am.rindex('_') + 1:] + merge_sentences = False + get_tone_ids = False + if am_name == 'speedyspeech': + get_tone_ids = True + am_input_feed = {} + frontend_st = time.time() + frontend_dict = run_frontend( + frontend=self.frontend, + text=text, + merge_sentences=merge_sentences, + get_tone_ids=get_tone_ids, + lang=lang, + to_tensor=False) + self.frontend_time = time.time() - frontend_st + phone_ids = frontend_dict['phone_ids'] + self.am_time = 0 + self.voc_time = 0 + flags = 0 + for i in range(len(phone_ids)): + am_st = time.time() + part_phone_ids = phone_ids[i] + if am_name == 'fastspeech2': + am_input_feed.update({'text': part_phone_ids}) + if am_dataset in {"aishell3", "vctk"}: + # NOTE: 'spk_id' should be List[int] rather than int here!! + am_input_feed.update({'spk_id': [spk_id]}) + elif am_name == 'speedyspeech': + part_tone_ids = frontend_dict['tone_ids'][i] + am_input_feed.update({ + 'phones': part_phone_ids, + 'tones': part_tone_ids + }) + mel = self.am_sess.run(output_names=None, input_feed=am_input_feed) + mel = mel[0] + self.am_time += (time.time() - am_st) + # voc + voc_st = time.time() + wav = self.voc_sess.run( + output_names=None, input_feed={'logmel': mel}) + wav = wav[0] + if flags == 0: + wav_all = wav + flags = 1 + else: + wav_all = np.concatenate([wav_all, wav]) + self.voc_time += (time.time() - voc_st) + + self._outputs['wav'] = wav_all + def postprocess(self, output: str='output.wav') -> Union[str, os.PathLike]: """ Output postprocess and return results. @@ -430,6 +545,20 @@ class TTSExecutor(BaseExecutor): output, self._outputs['wav'].numpy(), samplerate=self.am_config.fs) return output + def postprocess_onnx(self, + output: str='output.wav') -> Union[str, os.PathLike]: + """ + Output postprocess and return results. + This method get model output from self._outputs and convert it into human-readable results. + + Returns: + Union[str, os.PathLike]: Human-readable results such as texts and audio files. + """ + output = os.path.abspath(os.path.expanduser(output)) + sf.write(output, self._outputs['wav'], samplerate=self.am_fs) + return output + + # 命令行的入口是这里 def execute(self, argv: List[str]) -> bool: """ Command line entry. @@ -451,6 +580,8 @@ class TTSExecutor(BaseExecutor): lang = args.lang device = args.device spk_id = args.spk_id + use_onnx = args.use_onnx + cpu_threads = args.cpu_threads if not args.verbose: self.disable_task_loggers() @@ -487,7 +618,9 @@ class TTSExecutor(BaseExecutor): # other lang=lang, device=device, - output=output) + output=output, + use_onnx=use_onnx, + cpu_threads=cpu_threads) task_results[id_] = res except Exception as e: has_exceptions = True @@ -501,6 +634,7 @@ class TTSExecutor(BaseExecutor): else: return True + # pyton api 的入口是这里 @stats_wrapper def __call__(self, text: str, @@ -512,33 +646,57 @@ class TTSExecutor(BaseExecutor): phones_dict: Optional[os.PathLike]=None, tones_dict: Optional[os.PathLike]=None, speaker_dict: Optional[os.PathLike]=None, - voc: str='pwgan_csmsc', + voc: str='hifigan_csmsc', voc_config: Optional[os.PathLike]=None, voc_ckpt: Optional[os.PathLike]=None, voc_stat: Optional[os.PathLike]=None, lang: str='zh', device: str=paddle.get_device(), - output: str='output.wav'): + output: str='output.wav', + use_onnx: bool=False, + cpu_threads: int=2): """ Python API to call an executor. """ - paddle.set_device(device) - self._init_from_path( - am=am, - am_config=am_config, - am_ckpt=am_ckpt, - am_stat=am_stat, - phones_dict=phones_dict, - tones_dict=tones_dict, - speaker_dict=speaker_dict, - voc=voc, - voc_config=voc_config, - voc_ckpt=voc_ckpt, - voc_stat=voc_stat, - lang=lang) - - self.infer(text=text, lang=lang, am=am, spk_id=spk_id) - - res = self.postprocess(output=output) - - return res + if not use_onnx: + paddle.set_device(device) + self._init_from_path( + am=am, + am_config=am_config, + am_ckpt=am_ckpt, + am_stat=am_stat, + phones_dict=phones_dict, + tones_dict=tones_dict, + speaker_dict=speaker_dict, + voc=voc, + voc_config=voc_config, + voc_ckpt=voc_ckpt, + voc_stat=voc_stat, + lang=lang) + + self.infer(text=text, lang=lang, am=am, spk_id=spk_id) + res = self.postprocess(output=output) + return res + else: + # use onnx + # we use `cpu` for onnxruntime by default + # please see description in https://github.com/PaddlePaddle/PaddleSpeech/pull/2220 + self.task_resource = CommonTaskResource( + task='tts', model_format='onnx') + assert ( + am in ONNX_SUPPORT_SET and voc in ONNX_SUPPORT_SET + ), f'the am and voc you choose, they should be in {ONNX_SUPPORT_SET}' + self._init_from_path_onnx( + am=am, + am_ckpt=am_ckpt, + phones_dict=phones_dict, + tones_dict=tones_dict, + speaker_dict=speaker_dict, + voc=voc, + voc_ckpt=voc_ckpt, + lang=lang, + device=device, + cpu_threads=cpu_threads) + self.infer_onnx(text=text, lang=lang, am=am, spk_id=spk_id) + res = self.postprocess_onnx(output=output) + return res diff --git a/paddlespeech/resource/pretrained_models.py b/paddlespeech/resource/pretrained_models.py index d7df0e48a..43d63925b 100644 --- a/paddlespeech/resource/pretrained_models.py +++ b/paddlespeech/resource/pretrained_models.py @@ -1149,7 +1149,7 @@ tts_onnx_pretrained_models = { "fastspeech2_vctk_onnx-en": { '1.0': { 'url': - 'hhttps://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_vctk_onnx_1.1.0.zip', + 'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_vctk_onnx_1.1.0.zip', 'md5': 'd9c3a9b02204a2070504dd99f5f959bf', 'ckpt': ['fastspeech2_vctk.onnx'], diff --git a/paddlespeech/t2s/exps/inference.py b/paddlespeech/t2s/exps/inference.py index ba951182d..3732e0f40 100644 --- a/paddlespeech/t2s/exps/inference.py +++ b/paddlespeech/t2s/exps/inference.py @@ -86,11 +86,6 @@ def parse_args(): "--inference_dir", type=str, help="dir to save inference models") parser.add_argument("--output_dir", type=str, help="output dir") # inference - parser.add_argument( - "--use_trt", - type=str2bool, - default=False, - help="Whether to use inference engin TensorRT.", ) parser.add_argument( "--int8", type=str2bool, diff --git a/paddlespeech/t2s/exps/inference_streaming.py b/paddlespeech/t2s/exps/inference_streaming.py index 624defc6a..5e2ce89db 100644 --- a/paddlespeech/t2s/exps/inference_streaming.py +++ b/paddlespeech/t2s/exps/inference_streaming.py @@ -27,6 +27,7 @@ from paddlespeech.t2s.exps.syn_utils import get_predictor from paddlespeech.t2s.exps.syn_utils import get_sentences from paddlespeech.t2s.exps.syn_utils import get_streaming_am_output from paddlespeech.t2s.exps.syn_utils import get_voc_output +from paddlespeech.t2s.exps.syn_utils import run_frontend from paddlespeech.t2s.utils import str2bool @@ -175,14 +176,13 @@ def main(): for utt_id, sentence in sentences: with timer() as t: # frontend - if args.lang == 'zh': - input_ids = frontend.get_input_ids( - sentence, - merge_sentences=merge_sentences, - get_tone_ids=get_tone_ids) - phone_ids = input_ids["phone_ids"] - else: - print("lang should be 'zh' here!") + frontend_dict = run_frontend( + frontend=frontend, + text=sentence, + merge_sentences=merge_sentences, + get_tone_ids=get_tone_ids, + lang=args.lang) + phone_ids = frontend_dict['phone_ids'] phones = phone_ids[0].numpy() # acoustic model orig_hs = get_am_sublayer_output( diff --git a/paddlespeech/t2s/exps/ort_predict.py b/paddlespeech/t2s/exps/ort_predict.py index 2e8596ded..bd89f74d2 100644 --- a/paddlespeech/t2s/exps/ort_predict.py +++ b/paddlespeech/t2s/exps/ort_predict.py @@ -41,17 +41,17 @@ def ort_predict(args): # am am_sess = get_sess( - model_dir=args.inference_dir, - model_file=args.am + ".onnx", + model_path=str(Path(args.inference_dir) / (args.am + '.onnx')), device=args.device, - cpu_threads=args.cpu_threads) + cpu_threads=args.cpu_threads, + use_trt=args.use_trt) # vocoder voc_sess = get_sess( - model_dir=args.inference_dir, - model_file=args.voc + ".onnx", + model_path=str(Path(args.inference_dir) / (args.voc + '.onnx')), device=args.device, - cpu_threads=args.cpu_threads) + cpu_threads=args.cpu_threads, + use_trt=args.use_trt) # am warmup for T in [27, 38, 54]: diff --git a/paddlespeech/t2s/exps/ort_predict_e2e.py b/paddlespeech/t2s/exps/ort_predict_e2e.py index f33fc4128..b96da9b21 100644 --- a/paddlespeech/t2s/exps/ort_predict_e2e.py +++ b/paddlespeech/t2s/exps/ort_predict_e2e.py @@ -22,6 +22,7 @@ from timer import timer from paddlespeech.t2s.exps.syn_utils import get_frontend from paddlespeech.t2s.exps.syn_utils import get_sentences from paddlespeech.t2s.exps.syn_utils import get_sess +from paddlespeech.t2s.exps.syn_utils import run_frontend from paddlespeech.t2s.utils import str2bool @@ -42,17 +43,17 @@ def ort_predict(args): fs = 24000 if am_dataset != 'ljspeech' else 22050 am_sess = get_sess( - model_dir=args.inference_dir, - model_file=args.am + ".onnx", + model_path=str(Path(args.inference_dir) / (args.am + '.onnx')), device=args.device, - cpu_threads=args.cpu_threads) + cpu_threads=args.cpu_threads, + use_trt=args.use_trt) # vocoder voc_sess = get_sess( - model_dir=args.inference_dir, - model_file=args.voc + ".onnx", + model_path=str(Path(args.inference_dir) / (args.voc + '.onnx')), device=args.device, - cpu_threads=args.cpu_threads) + cpu_threads=args.cpu_threads, + use_trt=args.use_trt) merge_sentences = True @@ -78,7 +79,6 @@ def ort_predict(args): am_input_feed.update({'text': phone_ids}) if am_dataset in {"aishell3", "vctk"}: am_input_feed.update({'spk_id': spk_id}) - elif am_name == 'speedyspeech': phone_ids = np.random.randint(1, 92, size=(T, )) tone_ids = np.random.randint(1, 5, size=(T, )) @@ -93,50 +93,51 @@ def ort_predict(args): N = 0 T = 0 - merge_sentences = True + merge_sentences = False get_tone_ids = False - am_input_feed = {} if am_name == 'speedyspeech': get_tone_ids = True + am_input_feed = {} for utt_id, sentence in sentences: with timer() as t: - if args.lang == 'zh': - input_ids = frontend.get_input_ids( - sentence, - merge_sentences=merge_sentences, - get_tone_ids=get_tone_ids) - phone_ids = input_ids["phone_ids"] - if get_tone_ids: - tone_ids = input_ids["tone_ids"] - elif args.lang == 'en': - input_ids = frontend.get_input_ids( - sentence, merge_sentences=merge_sentences) - phone_ids = input_ids["phone_ids"] - else: - print("lang should in {'zh', 'en'}!") - # merge_sentences=True here, so we only use the first item of phone_ids - phone_ids = phone_ids[0].numpy() - if am_name == 'fastspeech2': - am_input_feed.update({'text': phone_ids}) - if am_dataset in {"aishell3", "vctk"}: - am_input_feed.update({'spk_id': spk_id}) - elif am_name == 'speedyspeech': - tone_ids = tone_ids[0].numpy() - am_input_feed.update({'phones': phone_ids, 'tones': tone_ids}) - mel = am_sess.run(output_names=None, input_feed=am_input_feed) - mel = mel[0] - wav = voc_sess.run(output_names=None, input_feed={'logmel': mel}) - - N += len(wav[0]) - T += t.elapse - speed = len(wav[0]) / t.elapse - rtf = fs / speed - sf.write( - str(output_dir / (utt_id + ".wav")), - np.array(wav)[0], - samplerate=fs) + frontend_dict = run_frontend( + frontend=frontend, + text=sentence, + merge_sentences=merge_sentences, + get_tone_ids=get_tone_ids, + lang=args.lang) + phone_ids = frontend_dict['phone_ids'] + flags = 0 + for i in range(len(phone_ids)): + part_phone_ids = phone_ids[i].numpy() + if am_name == 'fastspeech2': + am_input_feed.update({'text': part_phone_ids}) + if am_dataset in {"aishell3", "vctk"}: + am_input_feed.update({'spk_id': spk_id}) + elif am_name == 'speedyspeech': + part_tone_ids = frontend_dict['tone_ids'][i].numpy() + am_input_feed.update({ + 'phones': part_phone_ids, + 'tones': part_tone_ids + }) + mel = am_sess.run(output_names=None, input_feed=am_input_feed) + mel = mel[0] + wav = voc_sess.run( + output_names=None, input_feed={'logmel': mel}) + wav = wav[0] + if flags == 0: + wav_all = wav + flags = 1 + else: + wav_all = np.concatenate([wav_all, wav]) + wav = wav_all + N += len(wav) + T += t.elapse + speed = len(wav) / t.elapse + rtf = fs / speed + sf.write(str(output_dir / (utt_id + ".wav")), wav, samplerate=fs) print( - f"{utt_id}, mel: {mel.shape}, wave: {len(wav[0])}, time: {t.elapse}s, Hz: {speed}, RTF: {rtf}." + f"{utt_id}, mel: {mel.shape}, wave: {len(wav)}, time: {t.elapse}s, Hz: {speed}, RTF: {rtf}." ) print(f"generation speed: {N / T}Hz, RTF: {fs / (N / T) }") diff --git a/paddlespeech/t2s/exps/ort_predict_streaming.py b/paddlespeech/t2s/exps/ort_predict_streaming.py index d5241f1c6..0d07dcf37 100644 --- a/paddlespeech/t2s/exps/ort_predict_streaming.py +++ b/paddlespeech/t2s/exps/ort_predict_streaming.py @@ -24,6 +24,7 @@ from paddlespeech.t2s.exps.syn_utils import get_chunks from paddlespeech.t2s.exps.syn_utils import get_frontend from paddlespeech.t2s.exps.syn_utils import get_sentences from paddlespeech.t2s.exps.syn_utils import get_sess +from paddlespeech.t2s.exps.syn_utils import run_frontend from paddlespeech.t2s.utils import str2bool @@ -45,29 +46,33 @@ def ort_predict(args): # streaming acoustic model am_encoder_infer_sess = get_sess( - model_dir=args.inference_dir, - model_file=args.am + "_am_encoder_infer" + ".onnx", + model_path=str( + Path(args.inference_dir) / + (args.am + '_am_encoder_infer' + '.onnx')), device=args.device, - cpu_threads=args.cpu_threads) + cpu_threads=args.cpu_threads, + use_trt=args.use_trt) am_decoder_sess = get_sess( - model_dir=args.inference_dir, - model_file=args.am + "_am_decoder" + ".onnx", + model_path=str( + Path(args.inference_dir) / (args.am + '_am_decoder' + '.onnx')), device=args.device, - cpu_threads=args.cpu_threads) + cpu_threads=args.cpu_threads, + use_trt=args.use_trt) am_postnet_sess = get_sess( - model_dir=args.inference_dir, - model_file=args.am + "_am_postnet" + ".onnx", + model_path=str( + Path(args.inference_dir) / (args.am + '_am_postnet' + '.onnx')), device=args.device, - cpu_threads=args.cpu_threads) + cpu_threads=args.cpu_threads, + use_trt=args.use_trt) am_mu, am_std = np.load(args.am_stat) # vocoder voc_sess = get_sess( - model_dir=args.inference_dir, - model_file=args.voc + ".onnx", + model_path=str(Path(args.inference_dir) / (args.voc + '.onnx')), device=args.device, - cpu_threads=args.cpu_threads) + cpu_threads=args.cpu_threads, + use_trt=args.use_trt) # frontend warmup # Loading model cost 0.5+ seconds @@ -102,14 +107,13 @@ def ort_predict(args): for utt_id, sentence in sentences: with timer() as t: - if args.lang == 'zh': - input_ids = frontend.get_input_ids( - sentence, - merge_sentences=merge_sentences, - get_tone_ids=get_tone_ids) - phone_ids = input_ids["phone_ids"] - else: - print("lang should in be 'zh' here!") + frontend_dict = run_frontend( + frontend=frontend, + text=sentence, + merge_sentences=merge_sentences, + get_tone_ids=get_tone_ids, + lang=args.lang) + phone_ids = frontend_dict['phone_ids'] # merge_sentences=True here, so we only use the first item of phone_ids phone_ids = phone_ids[0].numpy() orig_hs = am_encoder_infer_sess.run( diff --git a/paddlespeech/t2s/exps/syn_utils.py b/paddlespeech/t2s/exps/syn_utils.py index bade62aca..2166838cd 100644 --- a/paddlespeech/t2s/exps/syn_utils.py +++ b/paddlespeech/t2s/exps/syn_utils.py @@ -33,6 +33,8 @@ from paddlespeech.t2s.frontend.mix_frontend import MixFrontend from paddlespeech.t2s.frontend.zh_frontend import Frontend from paddlespeech.t2s.modules.normalizer import ZScore from paddlespeech.utils.dynamic_import import dynamic_import +# remove [W:onnxruntime: xxx] from ort +ort.set_default_logger_severity(3) model_alias = { # acoustic model @@ -161,13 +163,42 @@ def get_frontend(lang: str='zh', elif lang == 'mix': frontend = MixFrontend( phone_vocab_path=phones_dict, tone_vocab_path=tones_dict) - else: print("wrong lang!") - print("frontend done!") return frontend +def run_frontend(frontend: object, + text: str, + merge_sentences: bool=False, + get_tone_ids: bool=False, + lang: str='zh', + to_tensor: bool=True): + outs = dict() + if lang == 'zh': + input_ids = frontend.get_input_ids( + text, + merge_sentences=merge_sentences, + get_tone_ids=get_tone_ids, + to_tensor=to_tensor) + phone_ids = input_ids["phone_ids"] + if get_tone_ids: + tone_ids = input_ids["tone_ids"] + outs.update({'tone_ids': tone_ids}) + elif lang == 'en': + input_ids = frontend.get_input_ids( + text, merge_sentences=merge_sentences, to_tensor=to_tensor) + phone_ids = input_ids["phone_ids"] + elif lang == 'mix': + input_ids = frontend.get_input_ids( + text, merge_sentences=merge_sentences, to_tensor=to_tensor) + phone_ids = input_ids["phone_ids"] + else: + print("lang should in {'zh', 'en', 'mix'}!") + outs.update({'phone_ids': phone_ids}) + return outs + + # dygraph def get_am_inference(am: str='fastspeech2_csmsc', am_config: CfgNode=None, @@ -180,30 +211,22 @@ def get_am_inference(am: str='fastspeech2_csmsc', with open(phones_dict, "r") as f: phn_id = [line.strip().split() for line in f.readlines()] vocab_size = len(phn_id) - print("vocab_size:", vocab_size) - tone_size = None if tones_dict is not None: with open(tones_dict, "r") as f: tone_id = [line.strip().split() for line in f.readlines()] tone_size = len(tone_id) - print("tone_size:", tone_size) - spk_num = None if speaker_dict is not None: with open(speaker_dict, 'rt') as f: spk_id = [line.strip().split() for line in f.readlines()] spk_num = len(spk_id) - print("spk_num:", spk_num) - odim = am_config.n_mels # model: {model_name}_{dataset} am_name = am[:am.rindex('_')] am_dataset = am[am.rindex('_') + 1:] - am_class = dynamic_import(am_name, model_alias) am_inference_class = dynamic_import(am_name + '_inference', model_alias) - if am_name == 'fastspeech2': am = am_class( idim=vocab_size, odim=odim, spk_num=spk_num, **am_config["model"]) @@ -228,7 +251,6 @@ def get_am_inference(am: str='fastspeech2_csmsc', am_normalizer = ZScore(am_mu, am_std) am_inference = am_inference_class(am_normalizer, am) am_inference.eval() - print("acoustic model done!") if return_am: return am_inference, am else: @@ -260,7 +282,6 @@ def get_voc_inference( voc_normalizer = ZScore(voc_mu, voc_std) voc_inference = voc_inference_class(voc_normalizer, voc) voc_inference.eval() - print("voc done!") return voc_inference @@ -342,9 +363,9 @@ def get_predictor(model_dir: Optional[os.PathLike]=None, def get_am_output( input: str, - am_predictor, - am, - frontend, + am_predictor: paddle.nn.Layer, + am: str, + frontend: object, lang: str='zh', merge_sentences: bool=True, speaker_dict: Optional[os.PathLike]=None, @@ -352,30 +373,23 @@ def get_am_output( am_name = am[:am.rindex('_')] am_dataset = am[am.rindex('_') + 1:] am_input_names = am_predictor.get_input_names() - get_tone_ids = False get_spk_id = False + get_tone_ids = False if am_name == 'speedyspeech': get_tone_ids = True if am_dataset in {"aishell3", "vctk"} and speaker_dict: get_spk_id = True spk_id = np.array([spk_id]) - if lang == 'zh': - input_ids = frontend.get_input_ids( - input, merge_sentences=merge_sentences, get_tone_ids=get_tone_ids) - phone_ids = input_ids["phone_ids"] - elif lang == 'en': - input_ids = frontend.get_input_ids( - input, merge_sentences=merge_sentences) - phone_ids = input_ids["phone_ids"] - elif lang == 'mix': - input_ids = frontend.get_input_ids( - input, merge_sentences=merge_sentences) - phone_ids = input_ids["phone_ids"] - else: - print("lang should in {'zh', 'en', 'mix'}!") + + frontend_dict = run_frontend( + frontend=frontend, + text=input, + merge_sentences=merge_sentences, + get_tone_ids=get_tone_ids, + lang=lang) if get_tone_ids: - tone_ids = input_ids["tone_ids"] + tone_ids = frontend_dict['tone_ids'] tones = tone_ids[0].numpy() tones_handle = am_predictor.get_input_handle(am_input_names[1]) tones_handle.reshape(tones.shape) @@ -384,6 +398,7 @@ def get_am_output( spk_id_handle = am_predictor.get_input_handle(am_input_names[1]) spk_id_handle.reshape(spk_id.shape) spk_id_handle.copy_from_cpu(spk_id) + phone_ids = frontend_dict['phone_ids'] phones = phone_ids[0].numpy() phones_handle = am_predictor.get_input_handle(am_input_names[0]) phones_handle.reshape(phones.shape) @@ -432,13 +447,13 @@ def get_streaming_am_output(input: str, lang: str='zh', merge_sentences: bool=True): get_tone_ids = False - if lang == 'zh': - input_ids = frontend.get_input_ids( - input, merge_sentences=merge_sentences, get_tone_ids=get_tone_ids) - phone_ids = input_ids["phone_ids"] - else: - print("lang should be 'zh' here!") - + frontend_dict = run_frontend( + frontend=frontend, + text=input, + merge_sentences=merge_sentences, + get_tone_ids=get_tone_ids, + lang=lang) + phone_ids = frontend_dict['phone_ids'] phones = phone_ids[0].numpy() am_encoder_infer_output = get_am_sublayer_output( am_encoder_infer_predictor, input=phones) @@ -455,26 +470,25 @@ def get_streaming_am_output(input: str, # onnx -def get_sess(model_dir: Optional[os.PathLike]=None, - model_file: Optional[os.PathLike]=None, +def get_sess(model_path: Optional[os.PathLike], device: str='cpu', cpu_threads: int=1, use_trt: bool=False): - - model_dir = str(Path(model_dir) / model_file) sess_options = ort.SessionOptions() sess_options.graph_optimization_level = ort.GraphOptimizationLevel.ORT_ENABLE_ALL sess_options.execution_mode = ort.ExecutionMode.ORT_SEQUENTIAL - - if device == "gpu": + if 'gpu' in device.lower(): + device_id = int(device.split(':')[1]) if len( + device.split(':')) == 2 else 0 # fastspeech2/mb_melgan can't use trt now! if use_trt: - providers = ['TensorrtExecutionProvider'] + provider_name = 'TensorrtExecutionProvider' else: - providers = ['CUDAExecutionProvider'] - elif device == "cpu": + provider_name = 'CUDAExecutionProvider' + providers = [(provider_name, {'device_id': device_id})] + elif device.lower() == 'cpu': providers = ['CPUExecutionProvider'] sess_options.intra_op_num_threads = cpu_threads sess = ort.InferenceSession( - model_dir, providers=providers, sess_options=sess_options) + model_path, providers=providers, sess_options=sess_options) return sess diff --git a/paddlespeech/t2s/exps/synthesize_e2e.py b/paddlespeech/t2s/exps/synthesize_e2e.py index ef9543296..5988bb30e 100644 --- a/paddlespeech/t2s/exps/synthesize_e2e.py +++ b/paddlespeech/t2s/exps/synthesize_e2e.py @@ -25,6 +25,7 @@ from paddlespeech.t2s.exps.syn_utils import get_am_inference from paddlespeech.t2s.exps.syn_utils import get_frontend from paddlespeech.t2s.exps.syn_utils import get_sentences from paddlespeech.t2s.exps.syn_utils import get_voc_inference +from paddlespeech.t2s.exps.syn_utils import run_frontend from paddlespeech.t2s.exps.syn_utils import voc_to_static @@ -49,6 +50,7 @@ def evaluate(args): lang=args.lang, phones_dict=args.phones_dict, tones_dict=args.tones_dict) + print("frontend done!") # acoustic model am_name = args.am[:args.am.rindex('_')] @@ -62,13 +64,14 @@ def evaluate(args): phones_dict=args.phones_dict, tones_dict=args.tones_dict, speaker_dict=args.speaker_dict) - + print("acoustic model done!") # vocoder voc_inference = get_voc_inference( voc=args.voc, voc_config=voc_config, voc_ckpt=args.voc_ckpt, voc_stat=args.voc_stat) + print("voc done!") # whether dygraph to static if args.inference_dir: @@ -78,7 +81,6 @@ def evaluate(args): am=args.am, inference_dir=args.inference_dir, speaker_dict=args.speaker_dict) - # vocoder voc_inference = voc_to_static( voc_inference=voc_inference, @@ -101,24 +103,13 @@ def evaluate(args): T = 0 for utt_id, sentence in sentences: with timer() as t: - if args.lang == 'zh': - input_ids = frontend.get_input_ids( - sentence, - merge_sentences=merge_sentences, - get_tone_ids=get_tone_ids) - phone_ids = input_ids["phone_ids"] - if get_tone_ids: - tone_ids = input_ids["tone_ids"] - elif args.lang == 'en': - input_ids = frontend.get_input_ids( - sentence, merge_sentences=merge_sentences) - phone_ids = input_ids["phone_ids"] - elif args.lang == 'mix': - input_ids = frontend.get_input_ids( - sentence, merge_sentences=merge_sentences) - phone_ids = input_ids["phone_ids"] - else: - print("lang should in {'zh', 'en', 'mix'}!") + frontend_dict = run_frontend( + frontend=frontend, + text=sentence, + merge_sentences=merge_sentences, + get_tone_ids=get_tone_ids, + lang=args.lang) + phone_ids = frontend_dict['phone_ids'] with paddle.no_grad(): flags = 0 for i in range(len(phone_ids)): @@ -132,7 +123,7 @@ def evaluate(args): else: mel = am_inference(part_phone_ids) elif am_name == 'speedyspeech': - part_tone_ids = tone_ids[i] + part_tone_ids = frontend_dict['tone_ids'][i] if am_dataset in {"aishell3", "vctk"}: spk_id = paddle.to_tensor(args.spk_id) mel = am_inference(part_phone_ids, part_tone_ids, diff --git a/paddlespeech/t2s/exps/synthesize_streaming.py b/paddlespeech/t2s/exps/synthesize_streaming.py index d8b23f1ad..6f86cc2b2 100644 --- a/paddlespeech/t2s/exps/synthesize_streaming.py +++ b/paddlespeech/t2s/exps/synthesize_streaming.py @@ -30,6 +30,7 @@ from paddlespeech.t2s.exps.syn_utils import get_frontend from paddlespeech.t2s.exps.syn_utils import get_sentences from paddlespeech.t2s.exps.syn_utils import get_voc_inference from paddlespeech.t2s.exps.syn_utils import model_alias +from paddlespeech.t2s.exps.syn_utils import run_frontend from paddlespeech.t2s.exps.syn_utils import voc_to_static from paddlespeech.t2s.utils import str2bool from paddlespeech.utils.dynamic_import import dynamic_import @@ -138,15 +139,13 @@ def evaluate(args): for utt_id, sentence in sentences: with timer() as t: - if args.lang == 'zh': - input_ids = frontend.get_input_ids( - sentence, - merge_sentences=merge_sentences, - get_tone_ids=get_tone_ids) - - phone_ids = input_ids["phone_ids"] - else: - print("lang should be 'zh' here!") + frontend_dict = run_frontend( + frontend=frontend, + text=sentence, + merge_sentences=merge_sentences, + get_tone_ids=get_tone_ids, + lang=args.lang) + phone_ids = frontend_dict['phone_ids'] # merge_sentences=True here, so we only use the first item of phone_ids phone_ids = phone_ids[0] with paddle.no_grad(): diff --git a/paddlespeech/t2s/frontend/mix_frontend.py b/paddlespeech/t2s/frontend/mix_frontend.py index 6386c871e..5f145098e 100644 --- a/paddlespeech/t2s/frontend/mix_frontend.py +++ b/paddlespeech/t2s/frontend/mix_frontend.py @@ -136,7 +136,8 @@ class MixFrontend(): sentence: str, merge_sentences: bool=True, get_tone_ids: bool=False, - add_sp: bool=True) -> Dict[str, List[paddle.Tensor]]: + add_sp: bool=True, + to_tensor: bool=True) -> Dict[str, List[paddle.Tensor]]: sentences = self._split(sentence) phones_list = [] @@ -152,11 +153,12 @@ class MixFrontend(): input_ids = self.zh_frontend.get_input_ids( content, merge_sentences=True, - get_tone_ids=get_tone_ids) + get_tone_ids=get_tone_ids, + to_tensor=to_tensor) elif lang == "en": input_ids = self.en_frontend.get_input_ids( - content, merge_sentences=True) + content, merge_sentences=True, to_tensor=to_tensor) phones_seg.append(input_ids["phone_ids"][0]) if add_sp: diff --git a/paddlespeech/t2s/frontend/phonectic.py b/paddlespeech/t2s/frontend/phonectic.py index 8e9f11737..873aa359c 100644 --- a/paddlespeech/t2s/frontend/phonectic.py +++ b/paddlespeech/t2s/frontend/phonectic.py @@ -82,8 +82,10 @@ class English(Phonetics): phone_ids = [self.vocab_phones[item] for item in phonemes] return np.array(phone_ids, np.int64) - def get_input_ids(self, sentence: str, - merge_sentences: bool=False) -> paddle.Tensor: + def get_input_ids(self, + sentence: str, + merge_sentences: bool=False, + to_tensor: bool=True) -> paddle.Tensor: result = {} sentences = self.text_normalizer._split(sentence, lang="en") phones_list = [] @@ -112,7 +114,8 @@ class English(Phonetics): for part_phones_list in phones_list: phone_ids = self._p2id(part_phones_list) - phone_ids = paddle.to_tensor(phone_ids) + if to_tensor: + phone_ids = paddle.to_tensor(phone_ids) temp_phone_ids.append(phone_ids) result["phone_ids"] = temp_phone_ids return result diff --git a/paddlespeech/t2s/frontend/zh_frontend.py b/paddlespeech/t2s/frontend/zh_frontend.py index 143ccbc15..ef8963c08 100644 --- a/paddlespeech/t2s/frontend/zh_frontend.py +++ b/paddlespeech/t2s/frontend/zh_frontend.py @@ -303,15 +303,15 @@ class Frontend(): print("----------------------------") return phonemes - def get_input_ids( - self, - sentence: str, - merge_sentences: bool=True, - get_tone_ids: bool=False, - robot: bool=False, - print_info: bool=False, - add_blank: bool=False, - blank_token: str="") -> Dict[str, List[paddle.Tensor]]: + def get_input_ids(self, + sentence: str, + merge_sentences: bool=True, + get_tone_ids: bool=False, + robot: bool=False, + print_info: bool=False, + add_blank: bool=False, + blank_token: str="", + to_tensor: bool=True) -> Dict[str, List[paddle.Tensor]]: phonemes = self.get_phonemes( sentence, merge_sentences=merge_sentences, @@ -322,20 +322,22 @@ class Frontend(): tones = [] temp_phone_ids = [] temp_tone_ids = [] + for part_phonemes in phonemes: phones, tones = self._get_phone_tone( part_phonemes, get_tone_ids=get_tone_ids) - if add_blank: phones = insert_after_character(phones, blank_token) - if tones: tone_ids = self._t2id(tones) - tone_ids = paddle.to_tensor(tone_ids) + if to_tensor: + tone_ids = paddle.to_tensor(tone_ids) temp_tone_ids.append(tone_ids) if phones: phone_ids = self._p2id(phones) - phone_ids = paddle.to_tensor(phone_ids) + # if use paddle.to_tensor() in onnxruntime, the first time will be too low + if to_tensor: + phone_ids = paddle.to_tensor(phone_ids) temp_phone_ids.append(phone_ids) if temp_tone_ids: result["tone_ids"] = temp_tone_ids From cd662a08e06477f89e07bb0a518c7a27ab94b20c Mon Sep 17 00:00:00 2001 From: TianYuan Date: Thu, 4 Aug 2022 03:18:16 +0000 Subject: [PATCH 163/192] fix for load specified model files --- paddlespeech/cli/tts/infer.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/paddlespeech/cli/tts/infer.py b/paddlespeech/cli/tts/infer.py index 4d5ddb754..c8d5447ec 100644 --- a/paddlespeech/cli/tts/infer.py +++ b/paddlespeech/cli/tts/infer.py @@ -364,7 +364,7 @@ class TTSExecutor(BaseExecutor): else: self.am_ckpt = os.path.abspath(am_ckpt[0]) self.phones_dict = os.path.abspath(phones_dict) - self.am_res_path = os.path.dirname(os.path.abspath(am_ckpt)) + self.am_res_path = os.path.dirname(os.path.abspath(self.am_ckpt)) self.am_fs = fs # for speedyspeech @@ -404,7 +404,6 @@ class TTSExecutor(BaseExecutor): # frontend self.frontend = get_frontend( lang=lang, phones_dict=self.phones_dict, tones_dict=self.tones_dict) - self.am_sess = get_sess( model_path=self.am_ckpt, device=device, cpu_threads=cpu_threads) From c6b25c05f484bbe380f560a12dd42b5256f09b9b Mon Sep 17 00:00:00 2001 From: TianYuan Date: Thu, 4 Aug 2022 06:07:56 +0000 Subject: [PATCH 164/192] change logger.debug to logger.info for streaming asr --- paddlespeech/server/utils/audio_handler.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/paddlespeech/server/utils/audio_handler.py b/paddlespeech/server/utils/audio_handler.py index 43b73d6eb..add04156d 100644 --- a/paddlespeech/server/utils/audio_handler.py +++ b/paddlespeech/server/utils/audio_handler.py @@ -160,7 +160,7 @@ class ASRWsAudioHandler: separators=(',', ': ')) await ws.send(audio_info) msg = await ws.recv() - logger.debug("client receive msg={}".format(msg)) + logger.info("client receive msg={}".format(msg)) # 3. send chunk audio data to engine for chunk_data in self.read_wave(wavfile_path): @@ -170,7 +170,7 @@ class ASRWsAudioHandler: if self.punc_server and len(msg["result"]) > 0: msg["result"] = self.punc_server.run(msg["result"]) - logger.debug("client receive msg={}".format(msg)) + logger.info("client receive msg={}".format(msg)) # 4. we must send finished signal to the server audio_info = json.dumps( @@ -317,7 +317,7 @@ class TTSWsHandler: start_request = json.dumps({"task": "tts", "signal": "start"}) await ws.send(start_request) msg = await ws.recv() - logger.debug(f"client receive msg={msg}") + logger.info(f"client receive msg={msg}") msg = json.loads(msg) session = msg["session"] From 788a3062d0b91094d99922c565b6f2dcf215311b Mon Sep 17 00:00:00 2001 From: TianYuan Date: Thu, 4 Aug 2022 07:05:53 +0000 Subject: [PATCH 165/192] fix onnx am_ckpt from list to item in prtrained_mdoels.py --- paddlespeech/cli/tts/infer.py | 8 ++++---- paddlespeech/resource/pretrained_models.py | 15 ++++++++++----- 2 files changed, 14 insertions(+), 9 deletions(-) diff --git a/paddlespeech/cli/tts/infer.py b/paddlespeech/cli/tts/infer.py index c8d5447ec..86ff4fe07 100644 --- a/paddlespeech/cli/tts/infer.py +++ b/paddlespeech/cli/tts/infer.py @@ -226,7 +226,7 @@ class TTSExecutor(BaseExecutor): self.am_ckpt = os.path.abspath(am_ckpt) self.am_stat = os.path.abspath(am_stat) self.phones_dict = os.path.abspath(phones_dict) - self.am_res_path = os.path.dirname(os.path.abspath(self.am_config)) + self.am_res_path = os.path.dirname(self.am_config) # for speedyspeech self.tones_dict = None @@ -354,7 +354,7 @@ class TTSExecutor(BaseExecutor): if use_pretrained_am: self.am_res_path = self.task_resource.res_dir self.am_ckpt = os.path.join(self.am_res_path, - self.task_resource.res_dict['ckpt'][0]) + self.task_resource.res_dict['ckpt']) # must have phones_dict in acoustic self.phones_dict = os.path.join( self.am_res_path, self.task_resource.res_dict['phones_dict']) @@ -362,9 +362,9 @@ class TTSExecutor(BaseExecutor): logger.debug(self.am_res_path) logger.debug(self.am_ckpt) else: - self.am_ckpt = os.path.abspath(am_ckpt[0]) + self.am_ckpt = os.path.abspath(am_ckpt) self.phones_dict = os.path.abspath(phones_dict) - self.am_res_path = os.path.dirname(os.path.abspath(self.am_ckpt)) + self.am_res_path = os.path.dirname(self.am_ckpt) self.am_fs = fs # for speedyspeech diff --git a/paddlespeech/resource/pretrained_models.py b/paddlespeech/resource/pretrained_models.py index 43d63925b..bfe2bc7ec 100644 --- a/paddlespeech/resource/pretrained_models.py +++ b/paddlespeech/resource/pretrained_models.py @@ -1095,7 +1095,8 @@ tts_onnx_pretrained_models = { 'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/speedyspeech/speedyspeech_csmsc_onnx_0.2.0.zip', 'md5': '3e9c45af9ef70675fc1968ed5074fc88', - 'ckpt': ['speedyspeech_csmsc.onnx'], + 'ckpt': + 'speedyspeech_csmsc.onnx', 'phones_dict': 'phone_id_map.txt', 'tones_dict': @@ -1111,7 +1112,8 @@ tts_onnx_pretrained_models = { 'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_csmsc_onnx_0.2.0.zip', 'md5': 'fd3ad38d83273ad51f0ea4f4abf3ab4e', - 'ckpt': ['fastspeech2_csmsc.onnx'], + 'ckpt': + 'fastspeech2_csmsc.onnx', 'phones_dict': 'phone_id_map.txt', 'sample_rate': @@ -1124,7 +1126,8 @@ tts_onnx_pretrained_models = { 'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_ljspeech_onnx_1.1.0.zip', 'md5': '00754307636a48c972a5f3e65cda3d18', - 'ckpt': ['fastspeech2_ljspeech.onnx'], + 'ckpt': + 'fastspeech2_ljspeech.onnx', 'phones_dict': 'phone_id_map.txt', 'sample_rate': @@ -1137,7 +1140,8 @@ tts_onnx_pretrained_models = { 'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_aishell3_onnx_1.1.0.zip', 'md5': 'a1d6ee21de897ce394f5469e2bb4df0d', - 'ckpt': ['fastspeech2_aishell3.onnx'], + 'ckpt': + 'fastspeech2_aishell3.onnx', 'phones_dict': 'phone_id_map.txt', 'speaker_dict': @@ -1152,7 +1156,8 @@ tts_onnx_pretrained_models = { 'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_vctk_onnx_1.1.0.zip', 'md5': 'd9c3a9b02204a2070504dd99f5f959bf', - 'ckpt': ['fastspeech2_vctk.onnx'], + 'ckpt': + 'fastspeech2_vctk.onnx', 'phones_dict': 'phone_id_map.txt', 'speaker_dict': From 8da993bbf8165669c40ec4b1016f8a2b4db6ed95 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Thu, 4 Aug 2022 07:40:10 +0000 Subject: [PATCH 166/192] fix fs bug --- paddlespeech/cli/tts/infer.py | 15 ++++++++++++--- 1 file changed, 12 insertions(+), 3 deletions(-) diff --git a/paddlespeech/cli/tts/infer.py b/paddlespeech/cli/tts/infer.py index 86ff4fe07..1b02192e1 100644 --- a/paddlespeech/cli/tts/infer.py +++ b/paddlespeech/cli/tts/infer.py @@ -172,6 +172,11 @@ class TTSExecutor(BaseExecutor): type=str2bool, default=False, help="whether to usen onnxruntime inference.") + self.parser.add_argument( + '--fs', + type=int, + default=24000, + help='sample rate for onnx models when use specified model files.') def _init_from_path( self, @@ -581,6 +586,7 @@ class TTSExecutor(BaseExecutor): spk_id = args.spk_id use_onnx = args.use_onnx cpu_threads = args.cpu_threads + fs = args.fs if not args.verbose: self.disable_task_loggers() @@ -619,7 +625,8 @@ class TTSExecutor(BaseExecutor): device=device, output=output, use_onnx=use_onnx, - cpu_threads=cpu_threads) + cpu_threads=cpu_threads, + fs=fs) task_results[id_] = res except Exception as e: has_exceptions = True @@ -653,7 +660,8 @@ class TTSExecutor(BaseExecutor): device: str=paddle.get_device(), output: str='output.wav', use_onnx: bool=False, - cpu_threads: int=2): + cpu_threads: int=2, + fs: int=24000): """ Python API to call an executor. """ @@ -695,7 +703,8 @@ class TTSExecutor(BaseExecutor): voc_ckpt=voc_ckpt, lang=lang, device=device, - cpu_threads=cpu_threads) + cpu_threads=cpu_threads, + fs=fs) self.infer_onnx(text=text, lang=lang, am=am, spk_id=spk_id) res = self.postprocess_onnx(output=output) return res From c3d47441cf1466b545a8eba668ff837647f13126 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Thu, 4 Aug 2022 07:52:18 +0000 Subject: [PATCH 167/192] fix fs bug in inference.py (change fixed 24000 to variable for ljspeech) --- paddlespeech/t2s/exps/inference.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paddlespeech/t2s/exps/inference.py b/paddlespeech/t2s/exps/inference.py index 3732e0f40..7efbd8aa5 100644 --- a/paddlespeech/t2s/exps/inference.py +++ b/paddlespeech/t2s/exps/inference.py @@ -182,7 +182,7 @@ def main(): speed = wav.size / t.elapse rtf = fs / speed - sf.write(output_dir / (utt_id + ".wav"), wav, samplerate=24000) + sf.write(output_dir / (utt_id + ".wav"), wav, samplerate=fs) print( f"{utt_id}, mel: {am_output_data.shape}, wave: {wav.shape}, time: {t.elapse}s, Hz: {speed}, RTF: {rtf}." ) From ab2a1219c8a73e51c37d53624b1da0f1eff49613 Mon Sep 17 00:00:00 2001 From: BarryKCL Date: Sun, 7 Aug 2022 11:57:51 +0800 Subject: [PATCH 168/192] Add g2pW to Chinese frontend --- docs/requirements.txt | 2 + paddlespeech/t2s/frontend/g2pw/__init__.py | 2 + .../g2pw/bopomofo_to_pinyin_wo_tune_dict.json | 1 + .../t2s/frontend/g2pw/char_bopomofo_dict.json | 136009 +++++++++++++++ paddlespeech/t2s/frontend/g2pw/dataset.py | 135 + paddlespeech/t2s/frontend/g2pw/onnx_api.py | 139 + paddlespeech/t2s/frontend/g2pw/utils.py | 161 + paddlespeech/t2s/frontend/polyphonic.yaml | 5 + paddlespeech/t2s/frontend/zh_frontend.py | 122 +- setup.py | 2 + 10 files changed, 136547 insertions(+), 31 deletions(-) create mode 100644 paddlespeech/t2s/frontend/g2pw/__init__.py create mode 100644 paddlespeech/t2s/frontend/g2pw/bopomofo_to_pinyin_wo_tune_dict.json create mode 100644 paddlespeech/t2s/frontend/g2pw/char_bopomofo_dict.json create mode 100644 paddlespeech/t2s/frontend/g2pw/dataset.py create mode 100644 paddlespeech/t2s/frontend/g2pw/onnx_api.py create mode 100644 paddlespeech/t2s/frontend/g2pw/utils.py create mode 100644 paddlespeech/t2s/frontend/polyphonic.yaml diff --git a/docs/requirements.txt b/docs/requirements.txt index d6e27e226..ec57bd0ec 100644 --- a/docs/requirements.txt +++ b/docs/requirements.txt @@ -19,6 +19,7 @@ loguru matplotlib nara_wpe onnxruntime==1.10.0 +opencc pandas paddlenlp paddlespeech_feat @@ -36,6 +37,7 @@ soundfile~=0.10 textgrid timer tqdm +transformers==3.4.0 typeguard visualdl webrtcvad diff --git a/paddlespeech/t2s/frontend/g2pw/__init__.py b/paddlespeech/t2s/frontend/g2pw/__init__.py new file mode 100644 index 000000000..6e1ee0db8 --- /dev/null +++ b/paddlespeech/t2s/frontend/g2pw/__init__.py @@ -0,0 +1,2 @@ +from paddlespeech.t2s.frontend.g2pw.onnx_api import G2PWOnnxConverter + diff --git a/paddlespeech/t2s/frontend/g2pw/bopomofo_to_pinyin_wo_tune_dict.json b/paddlespeech/t2s/frontend/g2pw/bopomofo_to_pinyin_wo_tune_dict.json new file mode 100644 index 000000000..7d52bb851 --- /dev/null +++ b/paddlespeech/t2s/frontend/g2pw/bopomofo_to_pinyin_wo_tune_dict.json @@ -0,0 +1 @@ +{"ㄌㄧㄥ": "ling", "ㄩㄢ": "yuan", "ㄒㄧㄥ": "xing", "ㄑㄧㄡ": "qiu", "ㄊㄧㄢ": "tian", "ㄎㄨㄚ": "kua", "ㄨ": "wu", "ㄧㄣ": "yin", "ㄧ": "yi", "ㄒㄧㄝ": "xie", "ㄔㄡ": "chou", "ㄋㄨㄛ": "nuo", "ㄉㄢ": "dan", "ㄒㄩ": "xu", "ㄒㄩㄥ": "xiong", "ㄌㄧㄡ": "liu", "ㄌㄧㄣ": "lin", "ㄒㄧㄤ": "xiang", "ㄩㄥ": "yong", "ㄒㄧㄣ": "xin", "ㄓㄣ": "zhen", "ㄉㄞ": "dai", "ㄆㄢ": "pan", "ㄖㄨ": "ru", "ㄇㄚ": "ma", "ㄑㄧㄢ": "qian", "ㄘ": "ci", "ㄓㄨㄥ": "zhong", "ㄋㄟ": "nei", "ㄔㄥ": "cheng", "ㄈㄥ": "feng", "ㄓㄨㄛ": "zhuo", "ㄈㄤ": "fang", "ㄠ": "ao", "ㄗㄨㄛ": "zuo", "ㄓㄡ": "zhou", "ㄉㄨㄥ": "dong", "ㄙㄨ": "su", "ㄑㄩㄥ": "qiong", "ㄎㄨㄤ": "kuang", "ㄨㄤ": "wang", "ㄌㄟ": "lei", "ㄋㄠ": "nao", "ㄓㄨ": "zhu", "ㄕㄨ": "shu", "ㄕㄣ": "shen", "ㄐㄧㄝ": "jie", "ㄉㄧㄝ": "die", "ㄔ": "chi", "ㄌㄨㄥ": "long", "ㄧㄥ": "ying", "ㄅㄥ": "beng", "ㄌㄢ": "lan", "ㄇㄧㄠ": "miao", "ㄌㄧ": "li", "ㄐㄧ": "ji", "ㄩ": "yu", "ㄌㄨㄛ": "luo", "ㄔㄞ": "chai", "ㄏㄨㄣ": "hun", "ㄏㄨㄟ": "hui", "ㄖㄠ": "rao", "ㄏㄢ": "han", "ㄒㄧ": "xi", "ㄊㄞ": "tai", "ㄧㄠ": "yao", "ㄐㄩㄣ": "jun", "ㄌㄩㄝ": "lve", "ㄊㄤ": "tang", "ㄓㄠ": "zhao", "ㄓㄞ": "zhai", "ㄓㄚ": "zha", "ㄦ": "er", "ㄖㄢ": "ran", "ㄑㄧ": "qi", "ㄙㄜ": "se", "ㄙ": "si", "ㄙㄚ": "sa", "ㄎㄨㄟ": "kui", "ㄆㄨ": "pu", "ㄊㄚ": "ta", "ㄉㄨ": "du", "ㄊㄨ": "tu", "ㄧㄤ": "yang", "ㄡ": "ou", "ㄇㄧㄢ": "mian", "ㄨㄣ": "wen", "ㄉㄧㄠ": "diao", "ㄇㄧㄝ": "mie", "ㄨㄚ": "wa", "ㄋㄧㄠ": "niao", "ㄧㄡ": "you", "ㄔㄜ": "che", "ㄑㄩㄢ": "quan", "ㄘㄞ": "cai", "ㄌㄧㄤ": "liang", "ㄍㄨ": "gu", "ㄇㄠ": "mao", "ㄍㄨㄚ": "gua", "ㄙㄨㄟ": "sui", "ㄇㄢ": "man", "ㄕ": "shi", "ㄎㄡ": "kou", "ㄊㄧㄥ": "ting", "ㄅㄧㄥ": "bing", "ㄏㄨㄛ": "huo", "ㄍㄨㄥ": "gong", "ㄑㄧㄣ": "qin", "ㄐㄩㄥ": "jiong", "ㄌㄨ": "lu", "ㄋㄢ": "nan", "ㄅㄧ": "bi", "ㄑㄧㄚ": "qia", "ㄆㄧ": "pi", "ㄉㄧㄢ": "dian", "ㄈㄨ": "fu", "ㄍㄜ": "ge", "ㄅㄞ": "bai", "ㄍㄢ": "gan", "ㄒㄩㄢ": "xuan", "ㄌㄤ": "lang", "ㄕㄜ": "she", "ㄏㄨㄚ": "hua", "ㄊㄡ": "tou", "ㄆㄧㄢ": "pian", "ㄉㄧ": "di", "ㄖㄨㄢ": "ruan", "ㄜ": "e", "ㄑㄧㄝ": "qie", "ㄉㄡ": "dou", "ㄖㄨㄟ": "rui", "ㄘㄨㄟ": "cui", "ㄐㄧㄢ": "jian", "ㄔㄨㄥ": "chong", "ㄉㄥ": "deng", "ㄐㄩㄝ": "jue", "ㄒㄩㄝ": "xue", "ㄒㄧㄠ": "xiao", "ㄗㄢ": "zan", "ㄓㄢ": "zhan", "ㄗㄡ": "zou", "ㄘㄡ": "cou", "ㄔㄨㄚ": "chua", "ㄈㄟ": "fei", "ㄅㄟ": "bei", "ㄔㄨ": "chu", "ㄅㄚ": "ba", "ㄎㄨㄞ": "kuai", "ㄒㄧㄚ": "xia", "ㄏㄜ": "he", "ㄅㄧㄝ": "bie", "ㄌㄩ": "lv", "ㄙㄨㄢ": "suan", "ㄏㄥ": "heng", "ㄍㄨㄟ": "gui", "ㄌㄡ": "lou", "ㄊㄧ": "ti", "ㄌㄜ": "le", "ㄙㄨㄣ": "sun", "ㄒㄧㄢ": "xian", "ㄑㄩㄝ": "que", "ㄓ": "zhi", "ㄐㄧㄚ": "jia", "ㄏㄨ": "hu", "ㄌㄚ": "la", "ㄎㄜ": "ke", "ㄞ": "ai", "ㄨㄟ": "wei", "ㄏㄨㄢ": "huan", "ㄕㄨㄚ": "shua", "ㄕㄨㄤ": "shuang", "ㄍㄞ": "gai", "ㄏㄞ": "hai", "ㄧㄢ": "yan", "ㄈㄢ": "fan", "ㄆㄤ": "pang", "ㄙㄨㄥ": "song", "ㄋㄜ": "ne", "ㄔㄣ": "chen", "ㄍㄨㄛ": "guo", "ㄣ": "en", "ㄋㄍ": "ng", "ㄆㄚ": "pa", "ㄈㄚ": "fa", "ㄆㄡ": "pou", "ㄏㄡ": "hou", "ㄑㄩ": "qu", "ㄒㄩㄣ": "xun", "ㄋㄧㄝ": "nie", "ㄏㄨㄥ": "hong", "ㄊㄨㄣ": "tun", "ㄨㄞ": "wai", "ㄕㄡ": "shou", "ㄧㄝ": "ye", "ㄐㄩ": "ju", "ㄙㄡ": "sou", "ㄌㄨㄣ": "lun", "ㄋㄧㄚ": "nia", "ㄆㄣ": "pen", "ㄈㄣ": "fen", "ㄔㄨㄣ": "chun", "ㄋㄧㄡ": "niu", "ㄖㄡ": "rou", "ㄉㄨㄛ": "duo", "ㄗㄜ": "ze", "ㄕㄥ": "sheng", "ㄎㄨ": "ku", "ㄧㄚ": "ya", "ㄓㄨㄟ": "zhui", "ㄍㄡ": "gou", "ㄅㄛ": "bo", "ㄋㄚ": "na", "ㄒㄧㄡ": "xiu", "ㄘㄨ": "cu", "ㄎㄨㄛ": "kuo", "ㄌㄠ": "lao", "ㄘㄨㄥ": "cong", "ㄉㄚ": "da", "ㄆㄛ": "po", "ㄙㄞ": "sai", "ㄌㄥ": "leng", "ㄖㄨㄥ": "rong", "ㄋㄧ": "ni", "ㄆㄠ": "pao", "ㄎㄢ": "kan", "ㄨㄥ": "weng", "ㄨㄢ": "wan", "ㄏㄠ": "hao", "ㄐㄧㄥ": "jing", "ㄊㄢ": "tan", "ㄅㄨ": "bu", "ㄗㄤ": "zang", "ㄐㄧㄡ": "jiu", "ㄇㄟ": "mei", "ㄇㄨ": "mu", "ㄉㄨㄟ": "dui", "ㄅㄤ": "bang", "ㄅㄠ": "bao", "ㄔㄤ": "chang", "ㄓㄤ": "zhang", "ㄗㄨㄥ": "zong", "ㄍㄨㄣ": "gun", "ㄌㄧㄠ": "liao", "ㄔㄢ": "chan", "ㄓㄜ": "zhe", "ㄇㄥ": "meng", "ㄑㄧㄠ": "qiao", "ㄋㄤ": "nang", "ㄩㄣ": "yun", "ㄎㄞ": "kai", "ㄍㄠ": "gao", "ㄊㄠ": "tao", "ㄕㄢ": "shan", "ㄌㄞ": "lai", "ㄅㄢ": "ban", "ㄎㄨㄥ": "kong", "ㄔㄨㄛ": "chuo", "ㄋㄨ": "nu", "ㄆㄟ": "pei", "ㄆㄥ": "peng", "ㄘㄢ": "can", "ㄙㄨㄛ": "suo", "ㄊㄨㄥ": "tong", "ㄑㄧㄤ": "qiang", "ㄙㄠ": "sao", "ㄓㄨㄢ": "zhuan", "ㄢ": "an", "ㄔㄚ": "cha", "ㄕㄚ": "sha", "ㄌㄧㄢ": "lian", "ㄇㄧ": "mi", "ㄋㄡ": "nou", "ㄘㄠ": "cao", "ㄙㄣ": "sen", "ㄋㄣ": "nen", "ㄋㄧㄢ": "nian", "ㄇㄞ": "mai", "ㄩㄝ": "yue", "ㄋㄞ": "nai", "ㄏㄨㄞ": "huai", "ㄗ": "zi", "ㄌㄨㄢ": "luan", "ㄉㄧㄥ": "ding", "ㄇㄤ": "mang", "ㄋㄧㄥ": "ning", "ㄇㄧㄥ": "ming", "ㄗㄨㄟ": "zui", "ㄎㄤ": "kang", "ㄉㄜ": "de", "ㄅㄧㄢ": "bian", "ㄐㄧㄣ": "jin", "ㄔㄨㄟ": "chui", "ㄊㄨㄟ": "tui", "ㄗㄚ": "za", "ㄘㄣ": "cen", "ㄇㄧㄣ": "min", "ㄏㄨㄤ": "huang", "ㄗㄨ": "zu", "ㄘㄨㄛ": "cuo", "ㄊㄨㄛ": "tuo", "ㄑㄩㄣ": "qun", "ㄅㄧㄣ": "bin", "ㄊㄧㄠ": "tiao", "ㄍㄤ": "gang", "ㄉㄨㄢ": "duan", "ㄅㄧㄠ": "biao", "ㄉㄠ": "dao", "ㄖㄨㄣ": "run", "ㄐㄧㄠ": "jiao", "ㄨㄛ": "wo", "ㄘㄨㄢ": "cuan", "ㄖㄣ": "ren", "ㄇㄣ": "men", "ㄓㄨㄣ": "zhun", "ㄎㄨㄣ": "kun", "ㄔㄨㄤ": "chuang", "ㄗㄠ": "zao", "ㄓㄥ": "zheng", "ㄆㄧㄣ": "pin", "ㄅㄣ": "ben", "ㄐㄧㄤ": "jiang", "ㄐㄩㄢ": "juan", "ㄘㄥ": "ceng", "ㄏㄤ": "hang", "ㄋㄧㄣ": "nin", "ㄌㄧㄝ": "lie", "ㄍㄨㄤ": "guang", "ㄙㄢ": "san", "ㄊㄜ": "te", "ㄕㄨㄣ": "shun", "ㄕㄨㄟ": "shui", "ㄔㄠ": "chao", "ㄘㄜ": "ce", "ㄍㄨㄞ": "guai", "ㄎㄥ": "keng", "ㄕㄞ": "shai", "ㄉㄣ": "den", "ㄊㄨㄢ": "tuan", "ㄆㄧㄠ": "piao", "ㄑㄧㄥ": "qing", "ㄍㄥ": "geng", "ㄔㄨㄞ": "chuai", "ㄕㄠ": "shao", "ㄍㄣ": "gen", "ㄋㄨㄢ": "nuan", "ㄖㄥ": "reng", "ㄇㄡ": "mou", "ㄆㄞ": "pai", "ㄤ": "ang", "ㄎㄚ": "ka", "ㄍㄨㄢ": "guan", "ㄕㄨㄛ": "shuo", "ㄏㄣ": "hen", "ㄔㄨㄢ": "chuan", "ㄎㄨㄢ": "kuan", "ㄏㄟ": "hei", "ㄇㄛ": "mo", "ㄗㄞ": "zai", "ㄋㄥ": "neng", "ㄕㄨㄞ": "shuai", "ㄖㄜ": "re", "ㄋㄩ": "nv", "ㄆㄧㄥ": "ping", "ㄘㄤ": "cang", "ㄋㄨㄥ": "nong", "ㄎㄠ": "kao", "ㄗㄨㄢ": "zuan", "ㄎㄣ": "ken", "ㄍㄚ": "ga", "ㄗㄣ": "zen", "ㄉㄤ": "dang", "ㄗㄥ": "zeng", "ㄉㄨㄣ": "dun", "ㄘㄚ": "ca", "ㄖㄤ": "rang", "ㄘㄨㄣ": "cun", "ㄖㄨㄛ": "ruo", "ㄊㄧㄝ": "tie", "ㄊㄥ": "teng", "ㄙㄥ": "seng", "ㄖ": "ri", "ㄗㄨㄣ": "zun", "ㄋㄧㄤ": "niang", "ㄋㄩㄝ": "nve", "ㄙㄤ": "sang", "ㄓㄨㄤ": "zhuang", "ㄕㄤ": "shang", "ㄆㄧㄝ": "pie", "ㄕㄨㄢ": "shuan", "ㄈㄡ": "fou", "ㄉㄧㄡ": "diu", "ㄇㄜ": "me", "ㄈㄛ": "fo", "ㄌㄧㄚ": "lia", "ㄎㄟ": "kei", "ㄏㄚ": "ha", "ㄚ": "a", "ㄌㄛ": "lo", "ㄧㄛ": "yo", "ㄛ": "o", "ㄏㄋㄍ": "hng", "ㄋ": "n", "ㄌㄣ": "len", "ㄉㄧㄚ": "dia", "ㄇㄧㄡ": "miu", "ㄉㄟ": "dei", "ㄏㄇ": "hm", "ㄋㄨㄣ": "nun", "ㄓㄨㄞ": "zhuai", "ㄊㄟ": "tei", "ㄗㄟ": "zei", "ㄓㄨㄚ": "zhua", "ㄖㄨㄚ": "rua", "ê": "ê", "ㄟ": "ei", "ㄍㄟ": "gei", "ㄈㄧㄠ": "fiao", "ㄕㄟ": "shei", "ㄓㄟ": "zhei", "ㄥ": "eng", "ㄘㄟ": "cei", "ㄉㄧㄣ": "din", "ㄅㄧㄤ": "biang", "ㄧㄞ": "yai"} \ No newline at end of file diff --git a/paddlespeech/t2s/frontend/g2pw/char_bopomofo_dict.json b/paddlespeech/t2s/frontend/g2pw/char_bopomofo_dict.json new file mode 100644 index 000000000..83c5cebb9 --- /dev/null +++ b/paddlespeech/t2s/frontend/g2pw/char_bopomofo_dict.json @@ -0,0 +1,136009 @@ +{ + "〇": [ + "ㄌㄧㄥ2", + "ㄩㄢ2", + "ㄒㄧㄥ1" + ], + "㐀": [ + "ㄑㄧㄡ1" + ], + "㐁": [ + "ㄊㄧㄢ4" + ], + "㐄": [ + "ㄎㄨㄚ4" + ], + "㐅": [ + "ㄨ3" + ], + "㐆": [ + "ㄧㄣ3" + ], + "㐌": [ + "ㄧ2" + ], + "㐖": [ + "ㄒㄧㄝ2" + ], + "㐜": [ + "ㄔㄡ2" + ], + "㐡": [ + "ㄋㄨㄛ4" + ], + "㐤": [ + "ㄉㄢ1", + "ㄑㄧㄡ2" + ], + "㐨": [ + "ㄒㄩ4" + ], + "㐩": [ + "ㄒㄧㄥ2" + ], + "㐫": [ + "ㄒㄩㄥ1" + ], + "㐬": [ + "ㄌㄧㄡ2" + ], + "㐭": [ + "ㄌㄧㄣ3" + ], + "㐮": [ + "ㄒㄧㄤ1" + ], + "㐯": [ + "ㄩㄥ1" + ], + "㐰": [ + "ㄒㄧㄣ4" + ], + "㐱": [ + "ㄓㄣ3" + ], + "㐲": [ + "ㄉㄞ4" + ], + "㐳": [ + "ㄨ4" + ], + "㐴": [ + "ㄆㄢ1" + ], + "㐵": [ + "ㄖㄨ2" + ], + "㐷": [ + "ㄇㄚ3" + ], + "㐸": [ + "ㄑㄧㄢ4", + "ㄘ4" + ], + "㐹": [ + "ㄧ4" + ], + "㐺": [ + "ㄧㄣ2", + "ㄓㄨㄥ4" + ], + "㐻": [ + "ㄋㄟ4" + ], + "㐼": [ + "ㄔㄥ4" + ], + "㐽": [ + "ㄈㄥ1" + ], + "㑁": [ + "ㄓㄨㄛ1" + ], + "㑂": [ + "ㄈㄤ3" + ], + "㑃": [ + "ㄠ3" + ], + "㑄": [ + "ㄨ3" + ], + "㑅": [ + "ㄗㄨㄛ4" + ], + "㑇": [ + "ㄓㄡ4" + ], + "㑈": [ + "ㄉㄨㄥ4" + ], + "㑉": [ + "ㄙㄨ4" + ], + "㑊": [ + "ㄧ4" + ], + "㑋": [ + "ㄑㄩㄥ2" + ], + "㑌": [ + "ㄎㄨㄤ1", + "ㄨㄤ1" + ], + "㑍": [ + "ㄌㄟ4" + ], + "㑎": [ + "ㄋㄠ3" + ], + "㑏": [ + "ㄓㄨ4" + ], + "㑐": [ + "ㄕㄨ1" + ], + "㑔": [ + "ㄒㄩ3" + ], + "㑗": [ + "ㄕㄣ1" + ], + "㑘": [ + "ㄐㄧㄝ4" + ], + "㑙": [ + "ㄉㄧㄝ2" + ], + "㑚": [ + "ㄋㄨㄛ2" + ], + "㑛": [ + "ㄙㄨ4" + ], + "㑜": [ + "ㄧ4", + "ㄔ4" + ], + "㑝": [ + "ㄌㄨㄥ4" + ], + "㑞": [ + "ㄧㄥ4" + ], + "㑟": [ + "ㄅㄥ3" + ], + "㑣": [ + "ㄌㄢ2" + ], + "㑤": [ + "ㄇㄧㄠ2" + ], + "㑥": [ + "ㄧ4" + ], + "㑦": [ + "ㄌㄧ4" + ], + "㑧": [ + "ㄐㄧ4" + ], + "㑨": [ + "ㄩ3" + ], + "㑩": [ + "ㄌㄨㄛ2" + ], + "㑪": [ + "ㄔㄞ2" + ], + "㑮": [ + "ㄏㄨㄣ2" + ], + "㑯": [ + "ㄒㄩ3" + ], + "㑰": [ + "ㄏㄨㄟ4" + ], + "㑱": [ + "ㄖㄠ3" + ], + "㑳": [ + "ㄓㄡ4", + "ㄓㄨ1" + ], + "㑵": [ + "ㄏㄢ4" + ], + "㑶": [ + "ㄒㄧ4" + ], + "㑷": [ + "ㄊㄞ4" + ], + "㑸": [ + "ㄧㄠ2" + ], + "㑹": [ + "ㄏㄨㄟ4" + ], + "㑺": [ + "ㄐㄩㄣ4" + ], + "㑻": [ + "ㄇㄚ4" + ], + "㑼": [ + "ㄌㄩㄝ4" + ], + "㑽": [ + "ㄊㄤ2" + ], + "㑾": [ + "ㄧㄠ2" + ], + "㑿": [ + "ㄓㄠ4" + ], + "㒀": [ + "ㄓㄞ1", + "ㄓㄚ3" + ], + "㒁": [ + "ㄩ3" + ], + "㒂": [ + "ㄓㄨㄛ2" + ], + "㒃": [ + "ㄦ4" + ], + "㒄": [ + "ㄖㄢ3" + ], + "㒅": [ + "ㄑㄧ3" + ], + "㒆": [ + "ㄔ4" + ], + "㒇": [ + "ㄨ3" + ], + "㒈": [ + "ㄏㄢ4" + ], + "㒉": [ + "ㄊㄤ3" + ], + "㒊": [ + "ㄙㄜ4" + ], + "㒋": [ + "ㄙ1" + ], + "㒌": [ + "ㄑㄩㄥ2" + ], + "㒍": [ + "ㄌㄟ2" + ], + "㒎": [ + "ㄙㄚ4" + ], + "㒑": [ + "ㄎㄨㄟ3", + "ㄏㄨㄟ4" + ], + "㒒": [ + "ㄆㄨ2" + ], + "㒓": [ + "ㄊㄚ4" + ], + "㒔": [ + "ㄕㄨ2", + "ㄉㄨ2", + "ㄊㄨ4" + ], + "㒕": [ + "ㄧㄤ1" + ], + "㒖": [ + "ㄡ3" + ], + "㒗": [ + "ㄊㄞ2" + ], + "㒙": [ + "ㄇㄧㄢ2" + ], + "㒚": [ + "ㄧㄣ4", + "ㄨㄣ3" + ], + "㒛": [ + "ㄉㄧㄠ4" + ], + "㒜": [ + "ㄩ3" + ], + "㒝": [ + "ㄇㄧㄝ4", + "ㄨㄚ4" + ], + "㒞": [ + "ㄐㄩㄣ4" + ], + "㒟": [ + "ㄋㄧㄠ3" + ], + "㒠": [ + "ㄒㄧㄝ4" + ], + "㒡": [ + "ㄧㄡ2" + ], + "㒤": [ + "ㄔㄜ4" + ], + "㒥": [ + "ㄈㄥ1" + ], + "㒦": [ + "ㄌㄟ3", + "ㄌㄟ4" + ], + "㒧": [ + "ㄌㄧ4" + ], + "㒩": [ + "ㄌㄨㄛ3" + ], + "㒫": [ + "ㄐㄧ4" + ], + "㒰": [ + "ㄑㄩㄢ2" + ], + "㒲": [ + "ㄘㄞ2" + ], + "㒳": [ + "ㄌㄧㄤ3" + ], + "㒴": [ + "ㄍㄨ3" + ], + "㒵": [ + "ㄇㄠ4" + ], + "㒷": [ + "ㄍㄨㄚ3" + ], + "㒸": [ + "ㄙㄨㄟ4" + ], + "㒻": [ + "ㄇㄠ4" + ], + "㒼": [ + "ㄇㄢ2" + ], + "㒽": [ + "ㄑㄩㄢ1" + ], + "㒾": [ + "ㄕ4" + ], + "㒿": [ + "ㄌㄧ2" + ], + "㓁": [ + "ㄨㄤ3" + ], + "㓂": [ + "ㄎㄡ4" + ], + "㓃": [ + "ㄉㄨ4" + ], + "㓄": [ + "ㄓㄣ4" + ], + "㓅": [ + "ㄊㄧㄥ1" + ], + "㓈": [ + "ㄅㄧㄥ4" + ], + "㓉": [ + "ㄏㄨㄛ4" + ], + "㓊": [ + "ㄉㄨㄥ4" + ], + "㓋": [ + "ㄍㄨㄥ4" + ], + "㓌": [ + "ㄔㄥ1" + ], + "㓎": [ + "ㄑㄧㄣ1", + "ㄑㄧㄣ4", + "ㄑㄧㄣ3" + ], + "㓏": [ + "ㄐㄩㄥ3" + ], + "㓐": [ + "ㄌㄨ4" + ], + "㓑": [ + "ㄒㄧㄥ4" + ], + "㓓": [ + "ㄋㄢ2" + ], + "㓔": [ + "ㄒㄧㄝ4" + ], + "㓖": [ + "ㄅㄧ4" + ], + "㓗": [ + "ㄐㄧㄝ2" + ], + "㓘": [ + "ㄙㄨ4" + ], + "㓚": [ + "ㄍㄨㄥ1" + ], + "㓜": [ + "ㄧㄡ4" + ], + "㓝": [ + "ㄒㄧㄥ2" + ], + "㓞": [ + "ㄑㄧㄚ4" + ], + "㓟": [ + "ㄆㄧ2" + ], + "㓠": [ + "ㄉㄧㄢ4", + "ㄉㄧㄢ3" + ], + "㓡": [ + "ㄈㄨ3", + "ㄍㄨㄚ1" + ], + "㓢": [ + "ㄌㄨㄛ4" + ], + "㓣": [ + "ㄑㄧㄚ4", + "ㄍㄜ1" + ], + "㓤": [ + "ㄑㄧㄚ4" + ], + "㓥": [ + "ㄊㄤ1" + ], + "㓦": [ + "ㄅㄞ1" + ], + "㓧": [ + "ㄍㄢ1" + ], + "㓨": [ + "ㄘ2" + ], + "㓩": [ + "ㄒㄩㄢ1", + "ㄐㄧㄝ1" + ], + "㓪": [ + "ㄌㄤ3" + ], + "㓭": [ + "ㄕㄜ2" + ], + "㓮": [ + "ㄉㄧㄠ1" + ], + "㓯": [ + "ㄌㄧ2" + ], + "㓰": [ + "ㄏㄨㄚ4" + ], + "㓱": [ + "ㄊㄡ2", + "ㄕㄨ1" + ], + "㓲": [ + "ㄆㄧㄢ1" + ], + "㓳": [ + "ㄉㄧ1" + ], + "㓴": [ + "ㄖㄨㄢ3" + ], + "㓵": [ + "ㄜ4" + ], + "㓶": [ + "ㄑㄧㄝ4" + ], + "㓷": [ + "ㄧ4" + ], + "㓸": [ + "ㄓㄨㄛ1", + "ㄉㄡ1" + ], + "㓹": [ + "ㄖㄨㄟ4", + "ㄘㄨㄟ4", + "ㄐㄧ4" + ], + "㓺": [ + "ㄐㄧㄢ1", + "ㄑㄧㄢ2" + ], + "㓼": [ + "ㄔ4" + ], + "㓽": [ + "ㄔㄨㄥ2" + ], + "㓾": [ + "ㄒㄧ1", + "ㄔ2" + ], + "㔀": [ + "ㄌㄩㄝ4" + ], + "㔁": [ + "ㄉㄥ1" + ], + "㔂": [ + "ㄌㄧㄣ2" + ], + "㔃": [ + "ㄐㄩㄝ2", + "ㄒㄩㄝ1" + ], + "㔄": [ + "ㄙㄨ4" + ], + "㔅": [ + "ㄒㄧㄠ4" + ], + "㔆": [ + "ㄗㄢ4" + ], + "㔉": [ + "ㄓㄨ3" + ], + "㔊": [ + "ㄓㄢ3", + "ㄉㄢ3" + ], + "㔋": [ + "ㄐㄧㄢ1", + "ㄌㄢ2" + ], + "㔌": [ + "ㄗㄡ4", + "ㄘㄡ3" + ], + "㔍": [ + "ㄔㄨㄚ1", + "ㄓㄚ2" + ], + "㔎": [ + "ㄒㄧㄝ4" + ], + "㔏": [ + "ㄌㄧ4", + "ㄌㄨㄛ3" + ], + "㔑": [ + "ㄔ4" + ], + "㔒": [ + "ㄒㄧ2" + ], + "㔓": [ + "ㄐㄧㄢ3" + ], + "㔕": [ + "ㄐㄧ2" + ], + "㔗": [ + "ㄈㄟ4", + "ㄅㄟ4", + "ㄈㄨ2" + ], + "㔘": [ + "ㄔㄨ4" + ], + "㔙": [ + "ㄅㄥ1" + ], + "㔚": [ + "ㄐㄧㄝ2" + ], + "㔜": [ + "ㄅㄚ2" + ], + "㔝": [ + "ㄌㄧㄤ3", + "ㄌㄧㄤ2" + ], + "㔞": [ + "ㄎㄨㄞ4" + ], + "㔠": [ + "ㄒㄧㄚ1", + "ㄏㄜ2" + ], + "㔡": [ + "ㄅㄧㄝ1" + ], + "㔢": [ + "ㄐㄩㄝ2", + "ㄒㄩㄝ1" + ], + "㔣": [ + "ㄌㄟ2" + ], + "㔤": [ + "ㄒㄧㄣ4" + ], + "㔥": [ + "ㄅㄞ4", + "ㄆㄧ2" + ], + "㔦": [ + "ㄧㄤ3" + ], + "㔧": [ + "ㄌㄩ4" + ], + "㔨": [ + "ㄅㄟ4" + ], + "㔩": [ + "ㄜ4" + ], + "㔪": [ + "ㄌㄨ3" + ], + "㔭": [ + "ㄔㄜ4" + ], + "㔮": [ + "ㄋㄨㄛ2" + ], + "㔯": [ + "ㄒㄩㄢ2", + "ㄙㄨㄢ3" + ], + "㔰": [ + "ㄏㄥ2" + ], + "㔱": [ + "ㄩ3" + ], + "㔳": [ + "ㄍㄨㄟ3" + ], + "㔴": [ + "ㄧ4" + ], + "㔵": [ + "ㄒㄩㄢ3" + ], + "㔶": [ + "ㄍㄨㄥ4", + "ㄍㄢ3" + ], + "㔷": [ + "ㄌㄡ4" + ], + "㔸": [ + "ㄊㄧ1" + ], + "㔹": [ + "ㄌㄜ4" + ], + "㔺": [ + "ㄕ4" + ], + "㔼": [ + "ㄙㄨㄣ3" + ], + "㔽": [ + "ㄧㄠ4" + ], + "㔾": [ + "ㄒㄧㄢ1", + "ㄐㄧㄝ2" + ], + "㔿": [ + "ㄗㄡ4" + ], + "㕁": [ + "ㄑㄩㄝ4" + ], + "㕂": [ + "ㄧㄣ2", + "ㄑㄧㄣ2" + ], + "㕃": [ + "ㄒㄧ1" + ], + "㕄": [ + "ㄓ3" + ], + "㕅": [ + "ㄐㄧㄚ2" + ], + "㕆": [ + "ㄏㄨ4" + ], + "㕇": [ + "ㄌㄚ1" + ], + "㕈": [ + "ㄧ3" + ], + "㕉": [ + "ㄎㄜ4" + ], + "㕊": [ + "ㄈㄨ1" + ], + "㕋": [ + "ㄑㄧㄣ2" + ], + "㕌": [ + "ㄞ4" + ], + "㕎": [ + "ㄎㄜ4" + ], + "㕏": [ + "ㄔㄨ2" + ], + "㕐": [ + "ㄒㄧㄝ3", + "ㄒㄧㄝ4" + ], + "㕑": [ + "ㄔㄨ2" + ], + "㕒": [ + "ㄨㄟ1" + ], + "㕕": [ + "ㄏㄨㄢ4" + ], + "㕖": [ + "ㄙㄨ4" + ], + "㕗": [ + "ㄧㄡ4" + ], + "㕙": [ + "ㄐㄩㄣ4" + ], + "㕚": [ + "ㄓㄠ3" + ], + "㕛": [ + "ㄒㄩ4" + ], + "㕜": [ + "ㄕ3" + ], + "㕞": [ + "ㄕㄨㄚ1" + ], + "㕟": [ + "ㄎㄨㄟ4", + "ㄎㄨㄞ4" + ], + "㕠": [ + "ㄕㄨㄤ1" + ], + "㕡": [ + "ㄏㄜ2" + ], + "㕢": [ + "ㄍㄞ4", + "ㄏㄞ4" + ], + "㕣": [ + "ㄧㄢ3" + ], + "㕤": [ + "ㄑㄧㄡ2" + ], + "㕥": [ + "ㄕㄣ1" + ], + "㕦": [ + "ㄏㄨㄚ4" + ], + "㕧": [ + "ㄒㄧ1" + ], + "㕨": [ + "ㄈㄢ4" + ], + "㕩": [ + "ㄆㄤ4" + ], + "㕪": [ + "ㄉㄢ3" + ], + "㕫": [ + "ㄈㄤ3", + "ㄈㄥ1" + ], + "㕬": [ + "ㄍㄨㄥ1", + "ㄙㄨㄥ4" + ], + "㕭": [ + "ㄠ1", + "ㄠ4" + ], + "㕮": [ + "ㄈㄨ3" + ], + "㕯": [ + "ㄋㄜ4" + ], + "㕰": [ + "ㄒㄩㄝ4", + "ㄇㄚ5" + ], + "㕱": [ + "ㄧㄡ2" + ], + "㕲": [ + "ㄏㄨㄚ2", + "ㄧㄥ2" + ], + "㕴": [ + "ㄔㄣ2" + ], + "㕵": [ + "ㄍㄨㄛ2" + ], + "㕶": [ + "ㄣ3", + "ㄋㄍ3" + ], + "㕷": [ + "ㄏㄨㄚ4", + "ㄆㄚ1" + ], + "㕸": [ + "ㄌㄧ4" + ], + "㕹": [ + "ㄈㄚ2" + ], + "㕺": [ + "ㄒㄧㄠ1" + ], + "㕻": [ + "ㄆㄡ3" + ], + "㕽": [ + "ㄙ4" + ], + "㖀": [ + "ㄌㄜ4" + ], + "㖁": [ + "ㄌㄧㄣ4" + ], + "㖂": [ + "ㄧ4" + ], + "㖃": [ + "ㄏㄡ3", + "ㄏㄡ4" + ], + "㖅": [ + "ㄒㄩ4" + ], + "㖆": [ + "ㄑㄩ2" + ], + "㖇": [ + "ㄦ2" + ], + "㖊": [ + "ㄒㄩㄣ2" + ], + "㖏": [ + "ㄋㄧㄝ4" + ], + "㖐": [ + "ㄨㄟ3" + ], + "㖑": [ + "ㄒㄧㄝ4" + ], + "㖒": [ + "ㄊㄧ2" + ], + "㖓": [ + "ㄏㄨㄥ2" + ], + "㖔": [ + "ㄊㄨㄣ3" + ], + "㖕": [ + "ㄋㄧㄝ4", + "ㄒㄧㄣ1" + ], + "㖖": [ + "ㄋㄧㄝ4" + ], + "㖗": [ + "ㄧㄣ2" + ], + "㖘": [ + "ㄓㄣ1" + ], + "㖞": [ + "ㄨㄞ1" + ], + "㖟": [ + "ㄕㄡ4" + ], + "㖠": [ + "ㄋㄨㄛ4" + ], + "㖡": [ + "ㄧㄝ4" + ], + "㖢": [ + "ㄑㄧ2" + ], + "㖣": [ + "ㄊㄡ4" + ], + "㖤": [ + "ㄏㄢ2" + ], + "㖥": [ + "ㄐㄩㄣ4" + ], + "㖦": [ + "ㄉㄨㄥ3" + ], + "㖧": [ + "ㄏㄨㄣ1", + "ㄨㄣ3" + ], + "㖨": [ + "ㄌㄨ4" + ], + "㖩": [ + "ㄐㄩ1", + "ㄙㄡ3" + ], + "㖪": [ + "ㄏㄨㄛ4", + "ㄍㄨㄛ2", + "ㄒㄩ4" + ], + "㖫": [ + "ㄌㄧㄥ2" + ], + "㖭": [ + "ㄊㄧㄢ3" + ], + "㖮": [ + "ㄌㄨㄣ2" + ], + "㖵": [ + "ㄍㄜ2" + ], + "㖶": [ + "ㄧㄢ1", + "ㄧㄝ4", + "ㄧㄣ1" + ], + "㖷": [ + "ㄕ2", + "ㄊㄧ2" + ], + "㖸": [ + "ㄒㄩㄝ2", + "ㄋㄧㄚ1" + ], + "㖹": [ + "ㄆㄣ1", + "ㄈㄣ4" + ], + "㖺": [ + "ㄔㄨㄣ3" + ], + "㖻": [ + "ㄋㄧㄡ2", + "ㄖㄡ4" + ], + "㖼": [ + "ㄉㄨㄛ3" + ], + "㖽": [ + "ㄗㄜ2" + ], + "㖾": [ + "ㄜ4" + ], + "㖿": [ + "ㄒㄧㄝ2", + "ㄧㄝ2" + ], + "㗀": [ + "ㄧㄡ1" + ], + "㗁": [ + "ㄜ4" + ], + "㗂": [ + "ㄕㄥ3" + ], + "㗃": [ + "ㄨㄣ3", + "ㄏㄨㄣ1" + ], + "㗄": [ + "ㄎㄨ1" + ], + "㗅": [ + "ㄏㄨ2" + ], + "㗆": [ + "ㄍㄜ2" + ], + "㗇": [ + "ㄒㄧㄚ2", + "ㄧㄚ5" + ], + "㗈": [ + "ㄇㄢ4" + ], + "㗉": [ + "ㄌㄩㄝ4", + "ㄜ4" + ], + "㗊": [ + "ㄐㄧ2", + "ㄌㄟ2" + ], + "㗋": [ + "ㄏㄡ2" + ], + "㗌": [ + "ㄓ4" + ], + "㗏": [ + "ㄨㄞ1" + ], + "㗑": [ + "ㄅㄞ5" + ], + "㗒": [ + "ㄞ4" + ], + "㗓": [ + "ㄓㄨㄟ1" + ], + "㗔": [ + "ㄑㄧㄢ1" + ], + "㗕": [ + "ㄍㄡ4", + "ㄍㄡ1" + ], + "㗖": [ + "ㄉㄢ4" + ], + "㗗": [ + "ㄅㄟ1" + ], + "㗘": [ + "ㄅㄛ2" + ], + "㗙": [ + "ㄔㄨ1", + "ㄋㄚ4", + "ㄓㄡ1" + ], + "㗚": [ + "ㄌㄧ4" + ], + "㗛": [ + "ㄒㄧㄠ4" + ], + "㗜": [ + "ㄒㄧㄡ4" + ], + "㗢": [ + "ㄏㄨㄥ2", + "ㄉㄨㄥ4", + "ㄏㄨㄥ4" + ], + "㗣": [ + "ㄊㄧ4" + ], + "㗤": [ + "ㄘㄨ4" + ], + "㗥": [ + "ㄎㄨㄛ4", + "ㄍㄨㄛ1" + ], + "㗦": [ + "ㄌㄠ2" + ], + "㗧": [ + "ㄓ4", + "ㄉㄧㄝ2" + ], + "㗨": [ + "ㄒㄧㄝ1", + "ㄞ3" + ], + "㗩": [ + "ㄒㄧ1" + ], + "㗫": [ + "ㄑㄧㄝ4" + ], + "㗬": [ + "ㄓㄚ1" + ], + "㗭": [ + "ㄒㄧ1" + ], + "㗰": [ + "ㄘㄨㄥ2" + ], + "㗱": [ + "ㄐㄧ2" + ], + "㗲": [ + "ㄏㄨㄛ4" + ], + "㗳": [ + "ㄊㄚ3", + "ㄉㄚ1" + ], + "㗴": [ + "ㄧㄢ2" + ], + "㗵": [ + "ㄒㄩ4" + ], + "㗶": [ + "ㄆㄛ1" + ], + "㗷": [ + "ㄙㄞ3" + ], + "㗻": [ + "ㄍㄨㄛ1" + ], + "㗼": [ + "ㄧㄝ4" + ], + "㗽": [ + "ㄒㄧㄤ3" + ], + "㗾": [ + "ㄒㄩㄝ1" + ], + "㗿": [ + "ㄏㄜ2", + "ㄒㄧㄚ4", + "ㄒㄧㄚ1" + ], + "㘀": [ + "ㄗㄨㄛ4" + ], + "㘁": [ + "ㄧ4" + ], + "㘂": [ + "ㄘ2" + ], + "㘄": [ + "ㄌㄥ1" + ], + "㘅": [ + "ㄒㄧㄢ2" + ], + "㘆": [ + "ㄊㄞ3" + ], + "㘇": [ + "ㄖㄨㄥ2" + ], + "㘈": [ + "ㄧ4", + "ㄋㄧ3" + ], + "㘉": [ + "ㄓ4" + ], + "㘊": [ + "ㄒㄧ1", + "ㄧ4" + ], + "㘋": [ + "ㄒㄧㄢ2" + ], + "㘌": [ + "ㄐㄩ4" + ], + "㘍": [ + "ㄐㄧ2" + ], + "㘎": [ + "ㄏㄢ3" + ], + "㘐": [ + "ㄆㄠ4" + ], + "㘑": [ + "ㄌㄧ4" + ], + "㘓": [ + "ㄌㄢ2" + ], + "㘔": [ + "ㄙㄞ3" + ], + "㘕": [ + "ㄏㄢ3", + "ㄌㄢ2" + ], + "㘖": [ + "ㄧㄢ2" + ], + "㘗": [ + "ㄑㄩ1" + ], + "㘙": [ + "ㄧㄢ2" + ], + "㘚": [ + "ㄏㄢ3" + ], + "㘛": [ + "ㄎㄢ1" + ], + "㘜": [ + "ㄔ3" + ], + "㘝": [ + "ㄋㄧㄝ4" + ], + "㘞": [ + "ㄏㄨㄛ4" + ], + "㘠": [ + "ㄅㄧ4" + ], + "㘡": [ + "ㄒㄧㄚ2" + ], + "㘢": [ + "ㄨㄥ3" + ], + "㘣": [ + "ㄒㄩㄢ2", + "ㄩㄢ2" + ], + "㘤": [ + "ㄨㄢ1" + ], + "㘥": [ + "ㄧㄡ2" + ], + "㘦": [ + "ㄑㄧㄣ2" + ], + "㘧": [ + "ㄒㄩ4" + ], + "㘨": [ + "ㄋㄧㄝ4" + ], + "㘩": [ + "ㄅㄧ4" + ], + "㘪": [ + "ㄏㄠ4" + ], + "㘫": [ + "ㄐㄧㄥ3" + ], + "㘬": [ + "ㄠ4", + "ㄨ4" + ], + "㘭": [ + "ㄠ4" + ], + "㘰": [ + "ㄓㄣ1" + ], + "㘱": [ + "ㄊㄢ1" + ], + "㘲": [ + "ㄐㄩ2" + ], + "㘴": [ + "ㄗㄨㄛ4" + ], + "㘵": [ + "ㄅㄨ4" + ], + "㘶": [ + "ㄐㄧㄝ2" + ], + "㘷": [ + "ㄞ4" + ], + "㘸": [ + "ㄗㄤ4", + "ㄗㄨㄛ4" + ], + "㘹": [ + "ㄘ2" + ], + "㘺": [ + "ㄈㄚ2" + ], + "㘿": [ + "ㄋㄧㄝ4" + ], + "㙀": [ + "ㄌㄧㄡ4", + "ㄐㄧㄡ4" + ], + "㙁": [ + "ㄇㄟ2", + "ㄇㄨ4" + ], + "㙂": [ + "ㄉㄨㄟ4", + "ㄨㄥ4" + ], + "㙃": [ + "ㄅㄤ1" + ], + "㙄": [ + "ㄅㄧ4" + ], + "㙅": [ + "ㄅㄠ3" + ], + "㙇": [ + "ㄔㄨ4" + ], + "㙈": [ + "ㄒㄧㄚ4" + ], + "㙉": [ + "ㄊㄧㄢ3" + ], + "㙊": [ + "ㄔㄤ2", + "ㄓㄤ4" + ], + "㙍": [ + "ㄉㄨㄛ1" + ], + "㙎": [ + "ㄨㄟ1" + ], + "㙏": [ + "ㄈㄨ4" + ], + "㙐": [ + "ㄉㄨㄛ3" + ], + "㙑": [ + "ㄩ3" + ], + "㙒": [ + "ㄧㄝ3" + ], + "㙓": [ + "ㄎㄨㄟ2" + ], + "㙔": [ + "ㄨㄟ3", + "ㄏㄢ2" + ], + "㙕": [ + "ㄎㄨㄞ4" + ], + "㙗": [ + "ㄨㄟ1" + ], + "㙘": [ + "ㄧㄠ1" + ], + "㙙": [ + "ㄌㄨㄥ3" + ], + "㙚": [ + "ㄒㄧㄥ1" + ], + "㙛": [ + "ㄅㄨ3" + ], + "㙜": [ + "ㄔ2" + ], + "㙝": [ + "ㄒㄧㄝ2" + ], + "㙞": [ + "ㄋㄧㄝ4" + ], + "㙟": [ + "ㄌㄤ3" + ], + "㙠": [ + "ㄧ1", + "ㄧ4" + ], + "㙡": [ + "ㄗㄨㄥ1" + ], + "㙢": [ + "ㄇㄢ2" + ], + "㙣": [ + "ㄓㄤ4" + ], + "㙤": [ + "ㄒㄧㄚ4" + ], + "㙥": [ + "ㄍㄨㄣ4" + ], + "㙦": [ + "ㄒㄧㄝ2" + ], + "㙨": [ + "ㄐㄧ4" + ], + "㙩": [ + "ㄌㄧㄠ2" + ], + "㙪": [ + "ㄧ4" + ], + "㙫": [ + "ㄐㄧ2" + ], + "㙬": [ + "ㄧㄣ2" + ], + "㙮": [ + "ㄉㄚ1", + "ㄉㄚ5" + ], + "㙯": [ + "ㄧ4" + ], + "㙰": [ + "ㄒㄧㄝ4" + ], + "㙱": [ + "ㄏㄠ4" + ], + "㙲": [ + "ㄩㄥ3" + ], + "㙳": [ + "ㄎㄢ3", + "ㄏㄢ3" + ], + "㙴": [ + "ㄔㄢ4" + ], + "㙵": [ + "ㄊㄞ2" + ], + "㙶": [ + "ㄊㄤ2" + ], + "㙷": [ + "ㄓ2", + "ㄓㄜ2" + ], + "㙸": [ + "ㄅㄠ4" + ], + "㙹": [ + "ㄇㄥ2" + ], + "㙺": [ + "ㄎㄨㄟ2", + "ㄍㄨㄟ4" + ], + "㙻": [ + "ㄔㄢ2" + ], + "㙼": [ + "ㄌㄟ3" + ], + "㙾": [ + "ㄒㄧ4" + ], + "㚀": [ + "ㄒㄧ1" + ], + "㚁": [ + "ㄑㄧㄠ4" + ], + "㚂": [ + "ㄋㄤ4" + ], + "㚃": [ + "ㄩㄣ1" + ], + "㚅": [ + "ㄌㄨㄥ2" + ], + "㚆": [ + "ㄈㄨ4" + ], + "㚇": [ + "ㄗㄨㄥ1" + ], + "㚉": [ + "ㄍㄨ3" + ], + "㚊": [ + "ㄎㄞ1" + ], + "㚋": [ + "ㄉㄧㄠ1" + ], + "㚌": [ + "ㄏㄨㄚ4" + ], + "㚍": [ + "ㄎㄨㄟ3", + "ㄎㄨㄟ4" + ], + "㚏": [ + "ㄍㄠ3" + ], + "㚐": [ + "ㄊㄠ4" + ], + "㚒": [ + "ㄕㄢ3" + ], + "㚓": [ + "ㄌㄞ3" + ], + "㚔": [ + "ㄋㄧㄝ4", + "ㄒㄧㄥ4" + ], + "㚕": [ + "ㄈㄨ2" + ], + "㚖": [ + "ㄍㄠ3", + "ㄗㄜ2" + ], + "㚗": [ + "ㄑㄧㄝ2" + ], + "㚘": [ + "ㄅㄢ4", + "ㄏㄜ4", + "ㄈㄨ2" + ], + "㚙": [ + "ㄐㄧㄚ1" + ], + "㚚": [ + "ㄎㄨㄥ1", + "ㄎㄨㄤ1" + ], + "㚛": [ + "ㄒㄧ4" + ], + "㚜": [ + "ㄩ4", + "ㄒㄩ4" + ], + "㚝": [ + "ㄓㄨㄟ1" + ], + "㚞": [ + "ㄕㄣ3" + ], + "㚟": [ + "ㄔㄨㄛ4" + ], + "㚠": [ + "ㄒㄧㄠ1" + ], + "㚡": [ + "ㄐㄧ3" + ], + "㚢": [ + "ㄋㄨ2", + "ㄨ3" + ], + "㚣": [ + "ㄒㄧㄠ2" + ], + "㚤": [ + "ㄧ4" + ], + "㚥": [ + "ㄩ2" + ], + "㚦": [ + "ㄧ2" + ], + "㚧": [ + "ㄧㄢ3" + ], + "㚨": [ + "ㄕㄣ3" + ], + "㚩": [ + "ㄖㄢ3" + ], + "㚪": [ + "ㄏㄠ4" + ], + "㚫": [ + "ㄙㄚ4" + ], + "㚬": [ + "ㄐㄩㄣ1" + ], + "㚭": [ + "ㄧㄡ2" + ], + "㚯": [ + "ㄒㄧㄣ2" + ], + "㚰": [ + "ㄆㄟ1", + "ㄅㄧ3" + ], + "㚱": [ + "ㄑㄧㄡ1" + ], + "㚲": [ + "ㄔㄢ1", + "ㄉㄧㄢ3", + "ㄉㄧㄢ4" + ], + "㚴": [ + "ㄅㄨ4" + ], + "㚵": [ + "ㄉㄨㄥ1" + ], + "㚶": [ + "ㄙ4", + "ㄧ2" + ], + "㚷": [ + "ㄦ3" + ], + "㚹": [ + "ㄇㄠ3", + "ㄌㄧㄡ3" + ], + "㚺": [ + "ㄩㄣ4" + ], + "㚻": [ + "ㄐㄧ1" + ], + "㚽": [ + "ㄑㄧㄠ3" + ], + "㚾": [ + "ㄒㄩㄥ1" + ], + "㚿": [ + "ㄆㄠ2" + ], + "㛀": [ + "ㄔㄨ2" + ], + "㛁": [ + "ㄆㄥ1" + ], + "㛂": [ + "ㄋㄨㄛ3" + ], + "㛃": [ + "ㄐㄧㄝ2" + ], + "㛄": [ + "ㄧ1" + ], + "㛅": [ + "ㄦ4" + ], + "㛆": [ + "ㄉㄨㄛ4", + "ㄉㄨㄛ3" + ], + "㛊": [ + "ㄉㄨㄛ3" + ], + "㛍": [ + "ㄑㄧㄝ4", + "ㄒㄧㄢ3", + "ㄒㄧㄚ2" + ], + "㛎": [ + "ㄌㄩ3" + ], + "㛏": [ + "ㄑㄧㄡ2" + ], + "㛐": [ + "ㄙㄡ3" + ], + "㛑": [ + "ㄘㄢ4" + ], + "㛒": [ + "ㄉㄡ4" + ], + "㛓": [ + "ㄒㄧ1" + ], + "㛔": [ + "ㄈㄥ1", + "ㄆㄥ2" + ], + "㛕": [ + "ㄧ4", + "ㄜ4" + ], + "㛖": [ + "ㄙㄨㄛ1" + ], + "㛗": [ + "ㄑㄧㄝ1", + "ㄗㄨㄛ1", + "ㄙㄨㄛ1" + ], + "㛘": [ + "ㄆㄛ4" + ], + "㛙": [ + "ㄒㄧㄣ1", + "ㄑㄧㄝ4" + ], + "㛚": [ + "ㄊㄨㄥ3", + "ㄩㄥ3" + ], + "㛛": [ + "ㄒㄧㄣ4" + ], + "㛜": [ + "ㄧㄡ2" + ], + "㛝": [ + "ㄅㄟ4" + ], + "㛞": [ + "ㄌㄨㄥ4" + ], + "㛣": [ + "ㄩㄣ2" + ], + "㛤": [ + "ㄌㄧ2" + ], + "㛥": [ + "ㄊㄚ4" + ], + "㛦": [ + "ㄌㄢ3" + ], + "㛧": [ + "ㄇㄢ3" + ], + "㛨": [ + "ㄑㄧㄤ3" + ], + "㛩": [ + "ㄓㄡ2" + ], + "㛪": [ + "ㄧㄢ4", + "ㄧㄢ1" + ], + "㛫": [ + "ㄒㄧ1" + ], + "㛬": [ + "ㄌㄨ4" + ], + "㛭": [ + "ㄒㄧ1" + ], + "㛮": [ + "ㄙㄠ3" + ], + "㛯": [ + "ㄈㄢ4", + "ㄇㄧㄢ3", + "ㄓㄨㄢ4" + ], + "㛱": [ + "ㄨㄟ3", + "ㄨㄟ1" + ], + "㛲": [ + "ㄈㄚ4" + ], + "㛳": [ + "ㄧ4" + ], + "㛴": [ + "ㄋㄠ3" + ], + "㛵": [ + "ㄔㄥ1" + ], + "㛶": [ + "ㄊㄢ4" + ], + "㛷": [ + "ㄐㄧ1" + ], + "㛸": [ + "ㄕㄨ4" + ], + "㛹": [ + "ㄆㄧㄢ2" + ], + "㛺": [ + "ㄢ1" + ], + "㛻": [ + "ㄎㄨㄚ1" + ], + "㛼": [ + "ㄔㄚ1", + "ㄕㄚ4" + ], + "㛾": [ + "ㄒㄧㄢ2" + ], + "㛿": [ + "ㄓ4" + ], + "㜂": [ + "ㄈㄥ1" + ], + "㜃": [ + "ㄌㄧㄢ4" + ], + "㜄": [ + "ㄒㄩㄣ2" + ], + "㜅": [ + "ㄒㄩ4" + ], + "㜆": [ + "ㄇㄧ4" + ], + "㜇": [ + "ㄏㄨㄟ4", + "ㄧㄝ4" + ], + "㜈": [ + "ㄇㄨ4" + ], + "㜉": [ + "ㄩㄥ1" + ], + "㜊": [ + "ㄓㄢ3" + ], + "㜋": [ + "ㄧ4" + ], + "㜌": [ + "ㄋㄡ3", + "ㄍㄡ4", + "ㄎㄡ4" + ], + "㜍": [ + "ㄊㄤ2" + ], + "㜎": [ + "ㄒㄧ1", + "ㄒㄧ4" + ], + "㜏": [ + "ㄩㄣ2" + ], + "㜐": [ + "ㄕㄨ4" + ], + "㜑": [ + "ㄈㄨ2" + ], + "㜒": [ + "ㄧ4" + ], + "㜓": [ + "ㄉㄚ2" + ], + "㜕": [ + "ㄌㄧㄢ2" + ], + "㜖": [ + "ㄘㄠ2" + ], + "㜗": [ + "ㄘㄢ1", + "ㄙㄣ1" + ], + "㜘": [ + "ㄐㄩ4", + "ㄑㄩ4", + "ㄔㄚ2" + ], + "㜙": [ + "ㄌㄨ4" + ], + "㜚": [ + "ㄙㄨ4" + ], + "㜛": [ + "ㄋㄣ4" + ], + "㜜": [ + "ㄠ4" + ], + "㜝": [ + "ㄢ3", + "ㄧㄢ3" + ], + "㜞": [ + "ㄑㄧㄢ4", + "ㄘㄢ2" + ], + "㜠": [ + "ㄘㄨㄟ1" + ], + "㜡": [ + "ㄘㄨㄥ1" + ], + "㜣": [ + "ㄖㄢ2", + "ㄖㄢ3" + ], + "㜤": [ + "ㄋㄧㄢ3", + "ㄊㄧㄢ3", + "ㄊㄢ2" + ], + "㜥": [ + "ㄇㄞ2" + ], + "㜦": [ + "ㄒㄧㄣ2" + ], + "㜧": [ + "ㄩㄝ4" + ], + "㜨": [ + "ㄋㄞ2" + ], + "㜩": [ + "ㄠ4" + ], + "㜪": [ + "ㄕㄣ1" + ], + "㜫": [ + "ㄇㄚ4" + ], + "㜮": [ + "ㄌㄢ4", + "ㄌㄢ2" + ], + "㜯": [ + "ㄒㄧ1" + ], + "㜰": [ + "ㄩㄝ4" + ], + "㜱": [ + "ㄓ4" + ], + "㜲": [ + "ㄨㄥ3" + ], + "㜳": [ + "ㄏㄨㄞ2" + ], + "㜴": [ + "ㄇㄥ4" + ], + "㜵": [ + "ㄋㄧㄠ3" + ], + "㜶": [ + "ㄨㄢ3" + ], + "㜷": [ + "ㄇㄧ2", + "ㄒㄧㄢ3" + ], + "㜸": [ + "ㄋㄧㄝ4" + ], + "㜹": [ + "ㄑㄩ2" + ], + "㜺": [ + "ㄗㄢ4" + ], + "㜻": [ + "ㄌㄧㄢ4" + ], + "㜼": [ + "ㄓ2" + ], + "㜽": [ + "ㄗ3" + ], + "㜾": [ + "ㄏㄞ2" + ], + "㜿": [ + "ㄒㄩ4" + ], + "㝀": [ + "ㄏㄠ4" + ], + "㝁": [ + "ㄒㄩㄢ1", + "ㄑㄩㄥ2" + ], + "㝂": [ + "ㄓ4", + "ㄓㄜ4" + ], + "㝃": [ + "ㄇㄧㄢ3" + ], + "㝄": [ + "ㄔㄨㄣ2" + ], + "㝅": [ + "ㄍㄡ4" + ], + "㝇": [ + "ㄔㄨㄣ2" + ], + "㝈": [ + "ㄌㄨㄢ2" + ], + "㝉": [ + "ㄓㄨ4" + ], + "㝊": [ + "ㄕㄡ3" + ], + "㝋": [ + "ㄌㄧㄠ3" + ], + "㝌": [ + "ㄐㄧㄡ4" + ], + "㝍": [ + "ㄒㄧㄝ3" + ], + "㝎": [ + "ㄉㄧㄥ4" + ], + "㝏": [ + "ㄐㄧㄝ4" + ], + "㝐": [ + "ㄖㄨㄥ2" + ], + "㝑": [ + "ㄇㄤ2" + ], + "㝓": [ + "ㄎㄜ4" + ], + "㝔": [ + "ㄧㄠ3" + ], + "㝕": [ + "ㄋㄧㄥ2" + ], + "㝖": [ + "ㄧ2" + ], + "㝗": [ + "ㄌㄤ2", + "ㄌㄤ3" + ], + "㝘": [ + "ㄩㄥ2" + ], + "㝙": [ + "ㄧㄣ2" + ], + "㝚": [ + "ㄧㄢ2" + ], + "㝛": [ + "ㄙㄨ4" + ], + "㝝": [ + "ㄌㄧㄣ2" + ], + "㝞": [ + "ㄧㄚ1", + "ㄧㄚ4" + ], + "㝟": [ + "ㄇㄠ2" + ], + "㝠": [ + "ㄇㄧㄥ2" + ], + "㝡": [ + "ㄗㄨㄟ4" + ], + "㝢": [ + "ㄩ3" + ], + "㝣": [ + "ㄧ4" + ], + "㝤": [ + "ㄍㄡ4" + ], + "㝥": [ + "ㄇㄧ3" + ], + "㝦": [ + "ㄐㄩㄣ4" + ], + "㝧": [ + "ㄨㄣ3" + ], + "㝩": [ + "ㄎㄤ1" + ], + "㝪": [ + "ㄉㄧㄢ4" + ], + "㝫": [ + "ㄌㄨㄥ2" + ], + "㝭": [ + "ㄒㄧㄥ3" + ], + "㝮": [ + "ㄘㄨㄟ4" + ], + "㝯": [ + "ㄑㄧㄠ2" + ], + "㝰": [ + "ㄇㄧㄢ2" + ], + "㝱": [ + "ㄇㄥ4" + ], + "㝲": [ + "ㄑㄧㄣ3" + ], + "㝴": [ + "ㄨㄢ2" + ], + "㝵": [ + "ㄉㄜ2", + "ㄞ4" + ], + "㝶": [ + "ㄞ4" + ], + "㝸": [ + "ㄅㄧㄢ4" + ], + "㝹": [ + "ㄋㄡ2" + ], + "㝺": [ + "ㄌㄧㄢ2" + ], + "㝻": [ + "ㄐㄧㄣ3" + ], + "㝼": [ + "ㄩ1" + ], + "㝽": [ + "ㄔㄨㄟ2" + ], + "㝾": [ + "ㄗㄨㄛ3" + ], + "㝿": [ + "ㄅㄛ3" + ], + "㞀": [ + "ㄏㄨㄟ1" + ], + "㞁": [ + "ㄧㄠ4" + ], + "㞂": [ + "ㄊㄨㄟ3", + "ㄊㄨㄟ4" + ], + "㞃": [ + "ㄐㄧ4" + ], + "㞄": [ + "ㄢ1" + ], + "㞅": [ + "ㄌㄨㄛ4" + ], + "㞆": [ + "ㄐㄧ3" + ], + "㞇": [ + "ㄨㄟ3" + ], + "㞈": [ + "ㄅㄛ1" + ], + "㞉": [ + "ㄗㄚ1" + ], + "㞊": [ + "ㄒㄩ4" + ], + "㞋": [ + "ㄋㄧㄢ3", + "ㄐㄧ2" + ], + "㞌": [ + "ㄩㄣ4" + ], + "㞎": [ + "ㄅㄚ3", + "ㄆㄚ1" + ], + "㞏": [ + "ㄓㄜ2", + "ㄐㄧㄝ2" + ], + "㞐": [ + "ㄐㄩ1" + ], + "㞑": [ + "ㄨㄟ3" + ], + "㞒": [ + "ㄒㄧㄝ4", + "ㄒㄧ4" + ], + "㞓": [ + "ㄑㄧ4", + "ㄐㄧ1" + ], + "㞔": [ + "ㄧ2" + ], + "㞕": [ + "ㄒㄧㄝ4" + ], + "㞖": [ + "ㄘ2", + "ㄘ4" + ], + "㞗": [ + "ㄑㄧㄡ2" + ], + "㞘": [ + "ㄉㄨ1" + ], + "㞙": [ + "ㄋㄧㄠ4" + ], + "㞚": [ + "ㄑㄧ4", + "ㄓㄚ3" + ], + "㞛": [ + "ㄐㄧ3" + ], + "㞜": [ + "ㄊㄨㄟ1" + ], + "㞞": [ + "ㄙㄨㄥ2" + ], + "㞟": [ + "ㄉㄧㄢ4", + "ㄉㄧㄥ3" + ], + "㞠": [ + "ㄌㄠ2" + ], + "㞡": [ + "ㄓㄢ3" + ], + "㞤": [ + "ㄧㄣ2", + "ㄘㄣ2" + ], + "㞥": [ + "ㄘㄣ2" + ], + "㞦": [ + "ㄐㄧ3" + ], + "㞧": [ + "ㄏㄨㄟ4" + ], + "㞨": [ + "ㄗ3" + ], + "㞩": [ + "ㄌㄢ2" + ], + "㞪": [ + "ㄋㄠ2" + ], + "㞫": [ + "ㄐㄩ4" + ], + "㞬": [ + "ㄑㄧㄣ4" + ], + "㞭": [ + "ㄉㄞ4" + ], + "㞯": [ + "ㄐㄧㄝ2" + ], + "㞰": [ + "ㄒㄩ3" + ], + "㞱": [ + "ㄘㄨㄥ1" + ], + "㞲": [ + "ㄩㄥ4" + ], + "㞳": [ + "ㄉㄡ3" + ], + "㞴": [ + "ㄔ2", + "ㄇㄧㄣ2" + ], + "㞶": [ + "ㄇㄧㄣ3" + ], + "㞷": [ + "ㄏㄨㄤ2" + ], + "㞸": [ + "ㄙㄨㄟ4" + ], + "㞹": [ + "ㄎㄜ3" + ], + "㞺": [ + "ㄗㄨ2" + ], + "㞻": [ + "ㄏㄠ4" + ], + "㞼": [ + "ㄔㄥ2" + ], + "㞽": [ + "ㄒㄩㄝ4" + ], + "㞾": [ + "ㄋㄧ2" + ], + "㞿": [ + "ㄔ4" + ], + "㟀": [ + "ㄌㄧㄢ2" + ], + "㟁": [ + "ㄢ4" + ], + "㟂": [ + "ㄇㄨ3" + ], + "㟃": [ + "ㄙ1" + ], + "㟄": [ + "ㄒㄧㄤ2" + ], + "㟅": [ + "ㄧㄤ2" + ], + "㟆": [ + "ㄏㄨㄚ2" + ], + "㟇": [ + "ㄘㄨㄛ4", + "ㄘㄨㄛ2" + ], + "㟈": [ + "ㄑㄧㄡ2" + ], + "㟉": [ + "ㄌㄠ2" + ], + "㟊": [ + "ㄈㄨ2" + ], + "㟋": [ + "ㄉㄨㄟ4" + ], + "㟌": [ + "ㄇㄤ2" + ], + "㟍": [ + "ㄌㄤ2", + "ㄌㄤ3" + ], + "㟎": [ + "ㄊㄨㄛ3", + "ㄊㄨㄟ3" + ], + "㟏": [ + "ㄏㄢ2" + ], + "㟐": [ + "ㄇㄤ3" + ], + "㟑": [ + "ㄅㄛ2" + ], + "㟒": [ + "ㄑㄩㄣ1" + ], + "㟓": [ + "ㄑㄧ2" + ], + "㟔": [ + "ㄏㄢ2" + ], + "㟖": [ + "ㄌㄨㄥ4", + "ㄌㄨㄥ2" + ], + "㟗": [ + "ㄅㄧㄣ1" + ], + "㟘": [ + "ㄊㄧㄠ2" + ], + "㟙": [ + "ㄗㄜ2" + ], + "㟚": [ + "ㄑㄧ2" + ], + "㟛": [ + "ㄗㄢ4" + ], + "㟜": [ + "ㄇㄧ2" + ], + "㟝": [ + "ㄆㄟ2" + ], + "㟞": [ + "ㄓㄢ4" + ], + "㟟": [ + "ㄒㄧㄤ4" + ], + "㟠": [ + "ㄍㄤ3" + ], + "㟢": [ + "ㄑㄧ2" + ], + "㟤": [ + "ㄌㄨ4" + ], + "㟦": [ + "ㄩㄣ4" + ], + "㟧": [ + "ㄜ4" + ], + "㟨": [ + "ㄉㄨㄢ1" + ], + "㟩": [ + "ㄇㄧㄣ2" + ], + "㟪": [ + "ㄨㄟ1", + "ㄨㄟ3" + ], + "㟫": [ + "ㄑㄩㄢ2" + ], + "㟬": [ + "ㄙㄡ3" + ], + "㟭": [ + "ㄇㄧㄣ2" + ], + "㟮": [ + "ㄊㄨ1" + ], + "㟰": [ + "ㄇㄧㄥ3" + ], + "㟱": [ + "ㄧㄠ3" + ], + "㟲": [ + "ㄐㄩㄝ2" + ], + "㟳": [ + "ㄌㄧ4" + ], + "㟴": [ + "ㄎㄨㄞ4" + ], + "㟵": [ + "ㄍㄤ3" + ], + "㟶": [ + "ㄩㄢ2" + ], + "㟷": [ + "ㄉㄚ5" + ], + "㟹": [ + "ㄌㄠ2" + ], + "㟺": [ + "ㄌㄡ2" + ], + "㟻": [ + "ㄑㄧㄢ4", + "ㄓㄢ3" + ], + "㟼": [ + "ㄠ2" + ], + "㟽": [ + "ㄅㄧㄠ3", + "ㄅㄧㄠ1" + ], + "㟾": [ + "ㄩㄥ1" + ], + "㟿": [ + "ㄇㄤ3", + "ㄇㄤ2" + ], + "㠀": [ + "ㄉㄠ3" + ], + "㠂": [ + "ㄠ2" + ], + "㠄": [ + "ㄒㄧ2" + ], + "㠅": [ + "ㄈㄨ2", + "ㄈㄨ4" + ], + "㠆": [ + "ㄉㄢ1" + ], + "㠇": [ + "ㄐㄧㄡ4" + ], + "㠈": [ + "ㄖㄨㄣ4" + ], + "㠉": [ + "ㄊㄨㄥ2" + ], + "㠊": [ + "ㄑㄩ1" + ], + "㠋": [ + "ㄜ4" + ], + "㠌": [ + "ㄑㄧ1" + ], + "㠍": [ + "ㄐㄧ2" + ], + "㠎": [ + "ㄐㄧ2", + "ㄐㄧㄝ2" + ], + "㠏": [ + "ㄏㄨㄚ2" + ], + "㠐": [ + "ㄐㄧㄠ4" + ], + "㠑": [ + "ㄗㄨㄟ4" + ], + "㠒": [ + "ㄅㄧㄠ3" + ], + "㠓": [ + "ㄇㄥ2" + ], + "㠔": [ + "ㄅㄞ4" + ], + "㠕": [ + "ㄨㄟ3" + ], + "㠖": [ + "ㄧ3" + ], + "㠗": [ + "ㄠ4" + ], + "㠘": [ + "ㄩ3" + ], + "㠙": [ + "ㄏㄠ2" + ], + "㠚": [ + "ㄉㄨㄟ4" + ], + "㠛": [ + "ㄨㄛ4" + ], + "㠜": [ + "ㄋㄧ4" + ], + "㠝": [ + "ㄘㄨㄢ2" + ], + "㠟": [ + "ㄌㄧ2" + ], + "㠠": [ + "ㄌㄨ2" + ], + "㠡": [ + "ㄋㄧㄠ3" + ], + "㠢": [ + "ㄏㄨㄞ2" + ], + "㠣": [ + "ㄌㄧ4" + ], + "㠥": [ + "ㄌㄩ4", + "ㄌㄟ2", + "ㄌㄟ3" + ], + "㠦": [ + "ㄈㄥ1" + ], + "㠧": [ + "ㄇㄧ3" + ], + "㠨": [ + "ㄩ4" + ], + "㠪": [ + "ㄐㄩ4" + ], + "㠭": [ + "ㄓㄢ3" + ], + "㠮": [ + "ㄆㄥ1", + "ㄍㄤ1" + ], + "㠯": [ + "ㄧ3" + ], + "㠱": [ + "ㄐㄧ4", + "ㄑㄧ3" + ], + "㠲": [ + "ㄅㄧ3" + ], + "㠴": [ + "ㄖㄣ4" + ], + "㠵": [ + "ㄏㄨㄤ1" + ], + "㠶": [ + "ㄈㄢ2" + ], + "㠷": [ + "ㄍㄜ2" + ], + "㠸": [ + "ㄎㄨ4" + ], + "㠹": [ + "ㄐㄧㄝ4" + ], + "㠺": [ + "ㄕㄚ1", + "ㄇㄧㄠ2" + ], + "㠼": [ + "ㄙ1" + ], + "㠽": [ + "ㄊㄨㄥ2" + ], + "㠾": [ + "ㄩㄢ1" + ], + "㠿": [ + "ㄗ1", + "ㄘ3" + ], + "㡀": [ + "ㄅㄧ4" + ], + "㡁": [ + "ㄎㄨㄚ3" + ], + "㡂": [ + "ㄌㄧ4" + ], + "㡃": [ + "ㄏㄨㄤ1" + ], + "㡄": [ + "ㄒㄩㄣ2" + ], + "㡅": [ + "ㄋㄨㄛ3" + ], + "㡇": [ + "ㄓㄜ2", + "ㄐㄧㄝ1" + ], + "㡈": [ + "ㄨㄣ4", + "ㄇㄣ2", + "ㄇㄧㄢ3" + ], + "㡉": [ + "ㄒㄧㄢ2" + ], + "㡊": [ + "ㄑㄧㄚ4" + ], + "㡋": [ + "ㄧㄝ2", + "ㄢ1" + ], + "㡌": [ + "ㄇㄠ4" + ], + "㡏": [ + "ㄕㄨ4", + "ㄒㄩ1", + "ㄊㄡ2", + "ㄕㄨ1" + ], + "㡑": [ + "ㄑㄧㄠ1", + "ㄐㄧㄠ3" + ], + "㡒": [ + "ㄓㄨㄣ1" + ], + "㡓": [ + "ㄎㄨㄣ1" + ], + "㡔": [ + "ㄨ4" + ], + "㡕": [ + "ㄧㄥ1" + ], + "㡖": [ + "ㄔㄨㄤ2" + ], + "㡗": [ + "ㄊㄧ2" + ], + "㡘": [ + "ㄌㄧㄢ2", + "ㄌㄧㄣ2" + ], + "㡙": [ + "ㄅㄧ1" + ], + "㡚": [ + "ㄍㄡ1" + ], + "㡛": [ + "ㄇㄤ2" + ], + "㡜": [ + "ㄒㄧㄝ4", + "ㄒㄩㄝ3" + ], + "㡝": [ + "ㄈㄥ4" + ], + "㡞": [ + "ㄌㄡ2", + "ㄌㄩ3" + ], + "㡟": [ + "ㄗㄠ1" + ], + "㡠": [ + "ㄓㄥ4" + ], + "㡡": [ + "ㄔㄨ2" + ], + "㡢": [ + "ㄇㄢ4" + ], + "㡣": [ + "ㄌㄨㄥ2" + ], + "㡥": [ + "ㄧㄣ4" + ], + "㡦": [ + "ㄆㄧㄣ1" + ], + "㡧": [ + "ㄓㄥ4" + ], + "㡨": [ + "ㄐㄧㄢ1", + "ㄑㄧㄢ1" + ], + "㡩": [ + "ㄌㄨㄢ2" + ], + "㡪": [ + "ㄋㄧㄝ2" + ], + "㡫": [ + "ㄧ4" + ], + "㡭": [ + "ㄐㄧ4" + ], + "㡮": [ + "ㄐㄧ2" + ], + "㡯": [ + "ㄓㄞ2", + "ㄉㄨ4", + "ㄉㄨㄛ2" + ], + "㡰": [ + "ㄩ3" + ], + "㡱": [ + "ㄐㄧㄡ3" + ], + "㡲": [ + "ㄏㄨㄢ2" + ], + "㡳": [ + "ㄓ3" + ], + "㡴": [ + "ㄌㄚ1" + ], + "㡵": [ + "ㄌㄧㄥ2" + ], + "㡶": [ + "ㄓ3" + ], + "㡷": [ + "ㄅㄣ3" + ], + "㡸": [ + "ㄓㄚ4", + "ㄓㄚ3", + "ㄔㄚ2" + ], + "㡹": [ + "ㄐㄩ1" + ], + "㡺": [ + "ㄉㄢ4" + ], + "㡻": [ + "ㄌㄧㄠ4" + ], + "㡼": [ + "ㄧ4" + ], + "㡽": [ + "ㄓㄠ4" + ], + "㡾": [ + "ㄒㄧㄢ4" + ], + "㡿": [ + "ㄔ4" + ], + "㢀": [ + "ㄘ4" + ], + "㢁": [ + "ㄔ3", + "ㄕ3" + ], + "㢂": [ + "ㄧㄢ3", + "ㄊㄨㄟ2", + "ㄉㄨㄟ1" + ], + "㢃": [ + "ㄌㄤ2" + ], + "㢄": [ + "ㄉㄡ4" + ], + "㢅": [ + "ㄌㄨㄥ4" + ], + "㢆": [ + "ㄔㄢ2" + ], + "㢈": [ + "ㄊㄨㄟ2", + "ㄉㄨㄟ1" + ], + "㢉": [ + "ㄔㄚ2" + ], + "㢊": [ + "ㄞ3", + "ㄧ3" + ], + "㢋": [ + "ㄔ3" + ], + "㢍": [ + "ㄧㄥ3" + ], + "㢎": [ + "ㄓㄜ2" + ], + "㢏": [ + "ㄊㄡ2", + "ㄩ3", + "ㄩ2" + ], + "㢑": [ + "ㄊㄨㄟ2" + ], + "㢒": [ + "ㄔㄚ2" + ], + "㢓": [ + "ㄧㄠ3" + ], + "㢔": [ + "ㄗㄨㄥ3" + ], + "㢖": [ + "ㄆㄢ1", + "ㄅㄢ1" + ], + "㢗": [ + "ㄑㄧㄠ4" + ], + "㢘": [ + "ㄌㄧㄢ2" + ], + "㢙": [ + "ㄑㄧㄣ2" + ], + "㢚": [ + "ㄌㄨ3" + ], + "㢛": [ + "ㄧㄢ4", + "ㄑㄧㄢ1" + ], + "㢜": [ + "ㄎㄤ1", + "ㄎㄤ4" + ], + "㢝": [ + "ㄙㄨ1" + ], + "㢞": [ + "ㄧ4" + ], + "㢟": [ + "ㄔㄢ1" + ], + "㢠": [ + "ㄐㄩㄥ3" + ], + "㢡": [ + "ㄐㄧㄤ3" + ], + "㢣": [ + "ㄐㄧㄥ4" + ], + "㢥": [ + "ㄉㄨㄥ4" + ], + "㢧": [ + "ㄐㄩㄢ4" + ], + "㢨": [ + "ㄏㄢ4" + ], + "㢩": [ + "ㄉㄧ4" + ], + "㢬": [ + "ㄏㄨㄥ2" + ], + "㢮": [ + "ㄔ2" + ], + "㢯": [ + "ㄉㄧㄠ1", + "ㄇㄧㄣ2" + ], + "㢰": [ + "ㄅㄧ4" + ], + "㢲": [ + "ㄒㄩㄣ4" + ], + "㢳": [ + "ㄌㄨ2" + ], + "㢵": [ + "ㄒㄧㄝ2", + "ㄕㄜ4" + ], + "㢶": [ + "ㄅㄧ4" + ], + "㢸": [ + "ㄅㄧ4" + ], + "㢺": [ + "ㄒㄧㄢ2" + ], + "㢻": [ + "ㄖㄨㄟ4" + ], + "㢼": [ + "ㄅㄧㄝ4" + ], + "㢽": [ + "ㄦ3" + ], + "㢾": [ + "ㄐㄩㄢ4" + ], + "㣀": [ + "ㄓㄣ4" + ], + "㣁": [ + "ㄅㄟ4" + ], + "㣂": [ + "ㄜ4" + ], + "㣃": [ + "ㄩ3" + ], + "㣄": [ + "ㄑㄩ2" + ], + "㣅": [ + "ㄗㄢ4" + ], + "㣆": [ + "ㄇㄧ2" + ], + "㣇": [ + "ㄧ4" + ], + "㣈": [ + "ㄙ4" + ], + "㣌": [ + "ㄕㄢ4" + ], + "㣍": [ + "ㄊㄞ2" + ], + "㣎": [ + "ㄇㄨ4" + ], + "㣏": [ + "ㄐㄧㄥ4" + ], + "㣐": [ + "ㄅㄧㄢ4" + ], + "㣑": [ + "ㄖㄨㄥ2" + ], + "㣒": [ + "ㄘㄥ4" + ], + "㣓": [ + "ㄘㄢ4" + ], + "㣔": [ + "ㄉㄧㄥ1" + ], + "㣙": [ + "ㄉㄧ2", + "ㄓㄡ4" + ], + "㣚": [ + "ㄊㄨㄥ3", + "ㄊㄨㄥ2", + "ㄉㄨㄥ4" + ], + "㣛": [ + "ㄊㄚ4", + "ㄏㄨㄟ4" + ], + "㣜": [ + "ㄒㄧㄥ2" + ], + "㣝": [ + "ㄙㄨㄥ1" + ], + "㣞": [ + "ㄉㄨㄛ2" + ], + "㣟": [ + "ㄒㄧ4" + ], + "㣠": [ + "ㄊㄠ1", + "ㄊㄨㄥ2" + ], + "㣢": [ + "ㄊㄧ2" + ], + "㣣": [ + "ㄕㄢ4" + ], + "㣤": [ + "ㄐㄧㄢ4" + ], + "㣥": [ + "ㄓ4" + ], + "㣦": [ + "ㄨㄟ1" + ], + "㣧": [ + "ㄧㄣ4" + ], + "㣪": [ + "ㄏㄨㄢ3" + ], + "㣫": [ + "ㄓㄨㄥ3", + "ㄉㄨㄥ4" + ], + "㣬": [ + "ㄑㄧ4" + ], + "㣭": [ + "ㄗㄨㄥ1" + ], + "㣯": [ + "ㄒㄧㄝ4" + ], + "㣰": [ + "ㄒㄧㄝ4" + ], + "㣱": [ + "ㄗㄜ2" + ], + "㣲": [ + "ㄨㄟ2" + ], + "㣵": [ + "ㄊㄚ4" + ], + "㣶": [ + "ㄓㄢ1" + ], + "㣷": [ + "ㄋㄧㄥ4" + ], + "㣺": [ + "ㄒㄧㄣ1" + ], + "㣻": [ + "ㄧ4" + ], + "㣼": [ + "ㄖㄣ3" + ], + "㣽": [ + "ㄕㄨ4", + "ㄋㄨ4" + ], + "㣾": [ + "ㄔㄚ4" + ], + "㣿": [ + "ㄓㄨㄛ2", + "ㄉㄧㄠ3" + ], + "㤁": [ + "ㄇㄧㄢ3" + ], + "㤂": [ + "ㄐㄧ2" + ], + "㤃": [ + "ㄈㄤ2" + ], + "㤄": [ + "ㄆㄟ4" + ], + "㤅": [ + "ㄞ4", + "ㄒㄧ4", + "ㄐㄧ4" + ], + "㤆": [ + "ㄈㄢ4" + ], + "㤇": [ + "ㄠ3" + ], + "㤈": [ + "ㄑㄧㄣ4" + ], + "㤉": [ + "ㄑㄧㄚ1", + "ㄧㄚ4" + ], + "㤊": [ + "ㄒㄧㄠ4" + ], + "㤋": [ + "ㄈㄣ1" + ], + "㤌": [ + "ㄍㄢ1" + ], + "㤍": [ + "ㄑㄧㄠ1", + "ㄑㄧㄠ3" + ], + "㤎": [ + "ㄍㄜ1" + ], + "㤏": [ + "ㄊㄨㄥ2" + ], + "㤐": [ + "ㄔㄢ1" + ], + "㤑": [ + "ㄧㄡ4" + ], + "㤒": [ + "ㄍㄠ1" + ], + "㤓": [ + "ㄅㄣ4" + ], + "㤔": [ + "ㄈㄨ4" + ], + "㤕": [ + "ㄔㄨ4", + "ㄆㄛ4" + ], + "㤖": [ + "ㄓㄨ4" + ], + "㤘": [ + "ㄓㄡ4" + ], + "㤚": [ + "ㄏㄤ2" + ], + "㤛": [ + "ㄋㄧㄣ2" + ], + "㤜": [ + "ㄐㄩㄝ2" + ], + "㤝": [ + "ㄔㄨㄥ1" + ], + "㤞": [ + "ㄔㄚ4", + "ㄉㄨㄛ2", + "ㄗㄜ2" + ], + "㤟": [ + "ㄎㄨㄥ3" + ], + "㤠": [ + "ㄌㄧㄝ4" + ], + "㤡": [ + "ㄌㄧ4", + "ㄌㄧㄝ4" + ], + "㤢": [ + "ㄩ4" + ], + "㤤": [ + "ㄩ2" + ], + "㤥": [ + "ㄏㄞ4" + ], + "㤦": [ + "ㄌㄧ4" + ], + "㤧": [ + "ㄏㄡ2" + ], + "㤨": [ + "ㄍㄨㄥ3" + ], + "㤩": [ + "ㄎㄜ4" + ], + "㤪": [ + "ㄩㄢ4" + ], + "㤫": [ + "ㄉㄜ2" + ], + "㤬": [ + "ㄏㄨㄟ4" + ], + "㤮": [ + "ㄍㄨㄤ4" + ], + "㤯": [ + "ㄐㄩㄥ3" + ], + "㤰": [ + "ㄗㄨㄛ4" + ], + "㤱": [ + "ㄈㄨ4", + "ㄉㄡ4" + ], + "㤲": [ + "ㄑㄧㄝ4" + ], + "㤳": [ + "ㄅㄟ3" + ], + "㤴": [ + "ㄔㄜ4", + "ㄕㄜ4", + "ㄉㄧㄝ2" + ], + "㤵": [ + "ㄘ2" + ], + "㤶": [ + "ㄇㄤ2", + "ㄇㄤ4" + ], + "㤷": [ + "ㄏㄢ1" + ], + "㤸": [ + "ㄒㄧ4" + ], + "㤹": [ + "ㄑㄧㄡ2", + "ㄐㄧㄡ4" + ], + "㤺": [ + "ㄏㄨㄤ3" + ], + "㤽": [ + "ㄔㄡ2" + ], + "㤾": [ + "ㄙㄢ4", + "ㄊㄢ4" + ], + "㤿": [ + "ㄧㄢ1" + ], + "㥀": [ + "ㄓ2", + "ㄉㄜ2" + ], + "㥁": [ + "ㄉㄜ2" + ], + "㥂": [ + "ㄊㄜ4" + ], + "㥃": [ + "ㄇㄣ4" + ], + "㥄": [ + "ㄌㄧㄥ2" + ], + "㥅": [ + "ㄕㄡ4" + ], + "㥆": [ + "ㄊㄨㄟ4" + ], + "㥇": [ + "ㄘㄢ2" + ], + "㥈": [ + "ㄉㄧㄝ2" + ], + "㥉": [ + "ㄔㄜ4" + ], + "㥊": [ + "ㄆㄥ2", + "ㄆㄥ1" + ], + "㥋": [ + "ㄧ1" + ], + "㥌": [ + "ㄐㄩ2" + ], + "㥍": [ + "ㄐㄧ4" + ], + "㥎": [ + "ㄌㄞ2" + ], + "㥏": [ + "ㄊㄧㄢ3" + ], + "㥐": [ + "ㄩㄢ4" + ], + "㥒": [ + "ㄘㄞ3", + "ㄘㄞ1" + ], + "㥓": [ + "ㄑㄧ1" + ], + "㥔": [ + "ㄩ4" + ], + "㥕": [ + "ㄌㄧㄢ2" + ], + "㥖": [ + "ㄘㄨㄥ1" + ], + "㥚": [ + "ㄩ2", + "ㄩ3" + ], + "㥛": [ + "ㄐㄧ2", + "ㄎㄜ4" + ], + "㥜": [ + "ㄨㄟ4" + ], + "㥝": [ + "ㄇㄧ3" + ], + "㥞": [ + "ㄙㄨㄟ4" + ], + "㥟": [ + "ㄒㄧㄝ2" + ], + "㥠": [ + "ㄒㄩ1" + ], + "㥡": [ + "ㄔ4" + ], + "㥢": [ + "ㄑㄧㄡ2", + "ㄐㄧㄡ1" + ], + "㥣": [ + "ㄏㄨㄟ4" + ], + "㥥": [ + "ㄩ2" + ], + "㥦": [ + "ㄑㄧㄝ4" + ], + "㥧": [ + "ㄕㄨㄣ4" + ], + "㥨": [ + "ㄕㄨㄟ4", + "ㄨㄟ3" + ], + "㥩": [ + "ㄉㄨㄛ3" + ], + "㥪": [ + "ㄌㄡ2" + ], + "㥬": [ + "ㄆㄤ2" + ], + "㥭": [ + "ㄊㄞ4" + ], + "㥮": [ + "ㄓㄡ4", + "ㄔㄠ3" + ], + "㥯": [ + "ㄧㄣ3" + ], + "㥰": [ + "ㄙㄠ1" + ], + "㥱": [ + "ㄈㄟ3" + ], + "㥲": [ + "ㄔㄣ1", + "ㄕㄣ4" + ], + "㥳": [ + "ㄩㄢ2" + ], + "㥴": [ + "ㄧ2", + "ㄊㄧ2" + ], + "㥵": [ + "ㄏㄨㄣ4" + ], + "㥶": [ + "ㄙㄜ4", + "ㄑㄧㄢ1" + ], + "㥷": [ + "ㄧㄝ4" + ], + "㥸": [ + "ㄇㄧㄣ3" + ], + "㥹": [ + "ㄈㄣ3" + ], + "㥺": [ + "ㄏㄜ2" + ], + "㥼": [ + "ㄧㄣ4", + "ㄧㄢ1" + ], + "㥽": [ + "ㄘㄜ4", + "ㄗㄜ2" + ], + "㥾": [ + "ㄋㄧ4" + ], + "㥿": [ + "ㄠ4" + ], + "㦀": [ + "ㄈㄥ2" + ], + "㦁": [ + "ㄌㄧㄢ2", + "ㄌㄧㄢ3" + ], + "㦂": [ + "ㄔㄤ2" + ], + "㦃": [ + "ㄔㄢ3" + ], + "㦄": [ + "ㄇㄚ2" + ], + "㦅": [ + "ㄉㄧㄝ1", + "ㄉㄧ4", + "ㄔㄞ4" + ], + "㦆": [ + "ㄏㄨ1", + "ㄒㄧㄚ1" + ], + "㦇": [ + "ㄌㄨ4" + ], + "㦉": [ + "ㄧ4" + ], + "㦊": [ + "ㄏㄨㄚ2" + ], + "㦋": [ + "ㄓㄚ1" + ], + "㦌": [ + "ㄏㄨ1", + "ㄒㄩ4" + ], + "㦍": [ + "ㄜ4" + ], + "㦎": [ + "ㄏㄨㄛ4" + ], + "㦏": [ + "ㄙㄨㄣ3", + "ㄒㄩㄢ4" + ], + "㦐": [ + "ㄋㄧ4" + ], + "㦑": [ + "ㄒㄧㄢ4", + "ㄏㄢ1" + ], + "㦒": [ + "ㄌㄧ2" + ], + "㦓": [ + "ㄒㄧㄢ4", + "ㄖㄢ3" + ], + "㦔": [ + "ㄧㄢ4" + ], + "㦕": [ + "ㄌㄨㄥ2" + ], + "㦖": [ + "ㄇㄣ4" + ], + "㦗": [ + "ㄐㄧㄣ1", + "ㄐㄧㄣ4" + ], + "㦘": [ + "ㄐㄧ1" + ], + "㦚": [ + "ㄅㄧㄢ3" + ], + "㦛": [ + "ㄩ3", + "ㄩ2" + ], + "㦜": [ + "ㄏㄨㄛ4", + "ㄒㄩㄝ4" + ], + "㦝": [ + "ㄇㄧㄠ3" + ], + "㦞": [ + "ㄔㄡ2" + ], + "㦟": [ + "ㄇㄞ2" + ], + "㦡": [ + "ㄌㄜ4" + ], + "㦢": [ + "ㄐㄧㄝ2" + ], + "㦣": [ + "ㄨㄟ4" + ], + "㦤": [ + "ㄧ4" + ], + "㦥": [ + "ㄒㄩㄢ1", + "ㄒㄧㄢ3" + ], + "㦦": [ + "ㄒㄧ4" + ], + "㦧": [ + "ㄘㄢ3" + ], + "㦨": [ + "ㄌㄢ2" + ], + "㦩": [ + "ㄧㄣ3" + ], + "㦪": [ + "ㄒㄧㄝ4" + ], + "㦫": [ + "ㄗㄚ1" + ], + "㦬": [ + "ㄌㄨㄛ3" + ], + "㦭": [ + "ㄌㄧㄥ2" + ], + "㦮": [ + "ㄑㄧㄢ2" + ], + "㦯": [ + "ㄏㄨㄛ4" + ], + "㦰": [ + "ㄐㄧㄢ1" + ], + "㦱": [ + "ㄨㄛ3" + ], + "㦴": [ + "ㄍㄜ2" + ], + "㦵": [ + "ㄓㄨ1" + ], + "㦶": [ + "ㄉㄧㄝ2", + "ㄩㄥ3" + ], + "㦷": [ + "ㄩㄥ3" + ], + "㦸": [ + "ㄐㄧ3" + ], + "㦹": [ + "ㄧㄤ2" + ], + "㦺": [ + "ㄖㄨ4" + ], + "㦻": [ + "ㄒㄧ2" + ], + "㦼": [ + "ㄕㄨㄤ4" + ], + "㦽": [ + "ㄩ4" + ], + "㦾": [ + "ㄧ2" + ], + "㦿": [ + "ㄑㄧㄢ3", + "ㄏㄨ4" + ], + "㧀": [ + "ㄐㄧ2" + ], + "㧁": [ + "ㄑㄩ4", + "ㄏㄜ2" + ], + "㧂": [ + "ㄊㄧㄢ2" + ], + "㧃": [ + "ㄕㄡ1", + "ㄐㄧㄡ1" + ], + "㧄": [ + "ㄑㄧㄢ3" + ], + "㧅": [ + "ㄇㄨ4", + "ㄉㄠ1" + ], + "㧆": [ + "ㄐㄧㄣ1" + ], + "㧇": [ + "ㄇㄠ3" + ], + "㧈": [ + "ㄧㄣ3" + ], + "㧉": [ + "ㄍㄞ4", + "ㄏㄞ4", + "ㄧㄝ4" + ], + "㧊": [ + "ㄆㄛ1", + "ㄅㄚ2" + ], + "㧋": [ + "ㄒㄩㄢ3" + ], + "㧌": [ + "ㄇㄠ4" + ], + "㧍": [ + "ㄈㄤ3", + "ㄅㄥ1" + ], + "㧎": [ + "ㄧㄚ2", + "ㄧㄚ4", + "ㄑㄧㄚ1" + ], + "㧏": [ + "ㄍㄤ1" + ], + "㧐": [ + "ㄙㄨㄥ3" + ], + "㧑": [ + "ㄏㄨㄟ1" + ], + "㧒": [ + "ㄩ4" + ], + "㧓": [ + "ㄍㄨㄚ1" + ], + "㧔": [ + "ㄍㄨㄞ4" + ], + "㧕": [ + "ㄌㄧㄡ3" + ], + "㧖": [ + "ㄜ4" + ], + "㧗": [ + "ㄗ3", + "ㄐㄧ3", + "ㄓ3" + ], + "㧘": [ + "ㄗ4" + ], + "㧙": [ + "ㄅㄧ4", + "ㄅㄧㄝ2" + ], + "㧚": [ + "ㄨㄚ3" + ], + "㧜": [ + "ㄌㄧㄝ4" + ], + "㧟": [ + "ㄎㄨㄞ3" + ], + "㧡": [ + "ㄏㄞ4", + "ㄨㄟ4" + ], + "㧢": [ + "ㄧㄣ1" + ], + "㧣": [ + "ㄓㄨ1" + ], + "㧤": [ + "ㄔㄨㄥ4" + ], + "㧥": [ + "ㄒㄧㄢ3" + ], + "㧦": [ + "ㄒㄩㄢ4", + "ㄏㄨㄥ1" + ], + "㧨": [ + "ㄑㄧㄡ2" + ], + "㧩": [ + "ㄆㄟ4" + ], + "㧪": [ + "ㄍㄨㄟ3", + "ㄨㄟ3" + ], + "㧫": [ + "ㄦ2", + "ㄖㄨㄢ2", + "ㄖㄨㄟ2" + ], + "㧬": [ + "ㄍㄨㄥ3" + ], + "㧭": [ + "ㄑㄩㄥ2" + ], + "㧮": [ + "ㄏㄨ1" + ], + "㧯": [ + "ㄌㄠ3" + ], + "㧰": [ + "ㄌㄧ4" + ], + "㧱": [ + "ㄔㄣ4" + ], + "㧲": [ + "ㄙㄢ3" + ], + "㧳": [ + "ㄓㄨㄛ4", + "ㄅㄞ1" + ], + "㧴": [ + "ㄨㄛ3", + "ㄜ2" + ], + "㧵": [ + "ㄆㄡ2" + ], + "㧶": [ + "ㄎㄥ1" + ], + "㧷": [ + "ㄊㄨㄣ4" + ], + "㧸": [ + "ㄆㄥ1" + ], + "㧹": [ + "ㄊㄜ4" + ], + "㧺": [ + "ㄊㄚ4" + ], + "㧻": [ + "ㄓㄨㄛ2", + "ㄗㄨ2", + "ㄉㄨ1" + ], + "㧼": [ + "ㄅㄧㄠ4" + ], + "㧽": [ + "ㄍㄨ4" + ], + "㧾": [ + "ㄏㄨ1" + ], + "㨀": [ + "ㄅㄧㄥ3" + ], + "㨁": [ + "ㄓ4", + "ㄓ2" + ], + "㨂": [ + "ㄉㄨㄥ3" + ], + "㨃": [ + "ㄉㄨㄟ3", + "ㄔㄥ2" + ], + "㨄": [ + "ㄓㄡ1", + "ㄓㄠ4", + "ㄊㄧㄠ2" + ], + "㨅": [ + "ㄋㄟ4", + "ㄖㄨㄟ4" + ], + "㨆": [ + "ㄌㄧㄣ3" + ], + "㨇": [ + "ㄆㄛ2" + ], + "㨈": [ + "ㄐㄧ3" + ], + "㨉": [ + "ㄇㄧㄣ2", + "ㄨㄣ3" + ], + "㨊": [ + "ㄨㄟ3", + "ㄊㄨㄛ3", + "ㄉㄨㄛ4" + ], + "㨋": [ + "ㄔㄜ3" + ], + "㨌": [ + "ㄍㄡ4" + ], + "㨍": [ + "ㄅㄤ1" + ], + "㨎": [ + "ㄖㄨ2" + ], + "㨏": [ + "ㄊㄢ1" + ], + "㨐": [ + "ㄅㄨ3" + ], + "㨑": [ + "ㄗㄨㄥ1" + ], + "㨒": [ + "ㄎㄨㄟ1" + ], + "㨓": [ + "ㄌㄠ2" + ], + "㨔": [ + "ㄏㄢ4" + ], + "㨕": [ + "ㄧㄥ2" + ], + "㨖": [ + "ㄓ4" + ], + "㨗": [ + "ㄐㄧㄝ2" + ], + "㨘": [ + "ㄒㄧㄥ3" + ], + "㨙": [ + "ㄒㄧㄝ2", + "ㄒㄧ4" + ], + "㨚": [ + "ㄒㄩㄣ2", + "ㄙㄨㄣ3" + ], + "㨛": [ + "ㄕㄢ3", + "ㄕㄢ4" + ], + "㨜": [ + "ㄑㄧㄢ2" + ], + "㨝": [ + "ㄒㄧㄝ1" + ], + "㨞": [ + "ㄙㄨ4" + ], + "㨟": [ + "ㄏㄞ1" + ], + "㨠": [ + "ㄇㄧ4" + ], + "㨡": [ + "ㄏㄨㄣ2" + ], + "㨢": [ + "ㄆㄧ1" + ], + "㨤": [ + "ㄏㄨㄟ4" + ], + "㨥": [ + "ㄋㄚ4" + ], + "㨦": [ + "ㄙㄨㄥ3" + ], + "㨧": [ + "ㄅㄣ4" + ], + "㨨": [ + "ㄔㄡ1", + "ㄌㄧㄡ4" + ], + "㨩": [ + "ㄐㄧㄝ2" + ], + "㨪": [ + "ㄏㄨㄤ4", + "ㄏㄨㄤ3" + ], + "㨫": [ + "ㄌㄢ3" + ], + "㨭": [ + "ㄏㄨ4" + ], + "㨮": [ + "ㄉㄡ1" + ], + "㨯": [ + "ㄏㄨㄛ4" + ], + "㨰": [ + "ㄍㄨㄣ3" + ], + "㨱": [ + "ㄧㄠ2" + ], + "㨲": [ + "ㄘㄜ4" + ], + "㨳": [ + "ㄍㄨㄟ3", + "ㄐㄧ4" + ], + "㨴": [ + "ㄐㄧㄢ4" + ], + "㨵": [ + "ㄐㄧㄢ3" + ], + "㨶": [ + "ㄉㄠ3" + ], + "㨷": [ + "ㄐㄧㄣ4" + ], + "㨸": [ + "ㄇㄚ4" + ], + "㨹": [ + "ㄏㄨㄟ4", + "ㄒㄩㄝ3" + ], + "㨺": [ + "ㄇㄧㄢ3", + "ㄇㄣ2" + ], + "㨻": [ + "ㄘㄢ2", + "ㄕㄢ3", + "ㄗㄢ4", + "ㄔㄢ4" + ], + "㨼": [ + "ㄌㄩㄝ4" + ], + "㨽": [ + "ㄆㄧ4" + ], + "㨾": [ + "ㄧㄤ4" + ], + "㨿": [ + "ㄐㄩ4" + ], + "㩀": [ + "ㄐㄩ4" + ], + "㩁": [ + "ㄑㄩㄝ4" + ], + "㩃": [ + "ㄑㄧㄢ1" + ], + "㩄": [ + "ㄕㄞ1" + ], + "㩆": [ + "ㄐㄧㄡ4", + "ㄗㄨ2" + ], + "㩇": [ + "ㄏㄨㄛ4", + "ㄗㄨㄛ2", + "ㄏㄨㄚ2" + ], + "㩈": [ + "ㄩㄣ3" + ], + "㩉": [ + "ㄉㄚ2", + "ㄌㄚ1", + "ㄒㄧ1", + "ㄒㄧㄝ2" + ], + "㩊": [ + "ㄒㄩㄢ1" + ], + "㩋": [ + "ㄒㄧㄠ1", + "ㄙㄨ4" + ], + "㩌": [ + "ㄈㄟ4" + ], + "㩍": [ + "ㄘㄜ4" + ], + "㩎": [ + "ㄧㄝ4" + ], + "㩐": [ + "ㄉㄣ4" + ], + "㩒": [ + "ㄑㄧㄣ2" + ], + "㩓": [ + "ㄏㄨㄟ3" + ], + "㩔": [ + "ㄊㄨㄣ2" + ], + "㩖": [ + "ㄑㄧㄤ2" + ], + "㩗": [ + "ㄒㄧ2" + ], + "㩘": [ + "ㄋㄧ3" + ], + "㩙": [ + "ㄙㄞ1" + ], + "㩚": [ + "ㄇㄥ2" + ], + "㩛": [ + "ㄊㄨㄢ2" + ], + "㩜": [ + "ㄌㄢ3" + ], + "㩝": [ + "ㄏㄠ2" + ], + "㩞": [ + "ㄘ4" + ], + "㩟": [ + "ㄓㄞ4" + ], + "㩠": [ + "ㄠ1", + "ㄆㄧㄠ3", + "ㄆㄡ2" + ], + "㩡": [ + "ㄌㄨㄛ3" + ], + "㩢": [ + "ㄇㄧㄝ4", + "ㄇㄧ4" + ], + "㩤": [ + "ㄈㄨ1" + ], + "㩦": [ + "ㄒㄧㄝ2", + "ㄒㄧ1" + ], + "㩧": [ + "ㄅㄛ2" + ], + "㩨": [ + "ㄏㄨㄟ4" + ], + "㩩": [ + "ㄑㄧㄥ3" + ], + "㩪": [ + "ㄒㄧㄝ2" + ], + "㩭": [ + "ㄅㄛ2" + ], + "㩮": [ + "ㄑㄧㄢ2" + ], + "㩯": [ + "ㄆㄛ2" + ], + "㩰": [ + "ㄐㄧㄠ3" + ], + "㩱": [ + "ㄐㄩㄝ2" + ], + "㩲": [ + "ㄎㄨㄣ3" + ], + "㩳": [ + "ㄙㄨㄥ3" + ], + "㩴": [ + "ㄐㄩ2", + "ㄑㄩ2" + ], + "㩵": [ + "ㄜ4" + ], + "㩶": [ + "ㄋㄧㄝ4" + ], + "㩷": [ + "ㄑㄧㄢ1" + ], + "㩸": [ + "ㄉㄧㄝ2" + ], + "㩹": [ + "ㄉㄧㄝ2" + ], + "㩻": [ + "ㄑㄧ1", + "ㄍㄨㄟ4", + "ㄍㄨㄟ3" + ], + "㩼": [ + "ㄓ1" + ], + "㩽": [ + "ㄑㄧ2", + "ㄔ4", + "ㄜ4" + ], + "㩾": [ + "ㄓㄨㄟ4", + "ㄑㄧ2" + ], + "㩿": [ + "ㄎㄨ1" + ], + "㪀": [ + "ㄩ2" + ], + "㪁": [ + "ㄑㄧㄣ2", + "ㄎㄢ1", + "ㄑㄧㄢ4", + "ㄑㄧㄢ2" + ], + "㪂": [ + "ㄎㄨ1" + ], + "㪃": [ + "ㄏㄜ2" + ], + "㪄": [ + "ㄈㄨ2" + ], + "㪅": [ + "ㄍㄥ4", + "ㄍㄥ1" + ], + "㪆": [ + "ㄉㄧ3" + ], + "㪇": [ + "ㄒㄧㄢ4" + ], + "㪈": [ + "ㄍㄨㄟ4" + ], + "㪉": [ + "ㄏㄜ2" + ], + "㪊": [ + "ㄑㄩㄣ2" + ], + "㪋": [ + "ㄏㄢ4", + "ㄏㄜ3" + ], + "㪌": [ + "ㄊㄨㄥ3" + ], + "㪍": [ + "ㄅㄛ2", + "ㄅㄟ4" + ], + "㪎": [ + "ㄕㄢ3", + "ㄋㄚ4" + ], + "㪏": [ + "ㄅㄧ3" + ], + "㪐": [ + "ㄌㄨ4" + ], + "㪑": [ + "ㄧㄝ4" + ], + "㪒": [ + "ㄋㄧ2" + ], + "㪓": [ + "ㄔㄨㄞ2" + ], + "㪔": [ + "ㄙㄢ4" + ], + "㪕": [ + "ㄉㄧㄠ4", + "ㄔㄨㄛ4" + ], + "㪖": [ + "ㄌㄨ4" + ], + "㪗": [ + "ㄊㄡ3" + ], + "㪘": [ + "ㄌㄧㄢ3" + ], + "㪙": [ + "ㄎㄜ3" + ], + "㪚": [ + "ㄙㄢ4" + ], + "㪛": [ + "ㄓㄣ3" + ], + "㪜": [ + "ㄔㄨㄞ3", + "ㄉㄨㄛ3" + ], + "㪝": [ + "ㄌㄧㄢ4" + ], + "㪞": [ + "ㄇㄠ4" + ], + "㪠": [ + "ㄑㄧㄢ1", + "ㄑㄧㄢ4", + "ㄐㄧㄢ1" + ], + "㪡": [ + "ㄎㄞ4", + "ㄎㄜ3" + ], + "㪢": [ + "ㄕㄠ3" + ], + "㪣": [ + "ㄒㄧㄠ1", + "ㄑㄧㄠ1" + ], + "㪤": [ + "ㄅㄧ4" + ], + "㪥": [ + "ㄓㄚ1" + ], + "㪦": [ + "ㄧㄣ4" + ], + "㪧": [ + "ㄒㄧ1" + ], + "㪨": [ + "ㄕㄢ4" + ], + "㪩": [ + "ㄙㄨ4" + ], + "㪪": [ + "ㄙㄚ4" + ], + "㪫": [ + "ㄖㄨㄟ4" + ], + "㪬": [ + "ㄔㄨㄛ1", + "ㄓㄨㄛ2" + ], + "㪭": [ + "ㄌㄨ2" + ], + "㪮": [ + "ㄌㄧㄥ2" + ], + "㪯": [ + "ㄔㄚ2" + ], + "㪱": [ + "ㄏㄨㄢ4" + ], + "㪴": [ + "ㄐㄧㄚ2" + ], + "㪵": [ + "ㄅㄢ4" + ], + "㪶": [ + "ㄏㄨ2" + ], + "㪷": [ + "ㄉㄡ3" + ], + "㪹": [ + "ㄌㄡ3" + ], + "㪺": [ + "ㄐㄩ1" + ], + "㪻": [ + "ㄐㄩㄢ4" + ], + "㪼": [ + "ㄎㄜ3" + ], + "㪽": [ + "ㄙㄨㄛ3" + ], + "㪾": [ + "ㄌㄨㄛ4", + "ㄍㄜ2" + ], + "㪿": [ + "ㄓㄜ2" + ], + "㫀": [ + "ㄉㄧㄥ3" + ], + "㫁": [ + "ㄉㄨㄢ4" + ], + "㫂": [ + "ㄓㄨ4" + ], + "㫃": [ + "ㄧㄢ3" + ], + "㫄": [ + "ㄆㄤ2" + ], + "㫅": [ + "ㄔㄚ2" + ], + "㫊": [ + "ㄧ3", + "ㄜ3" + ], + "㫍": [ + "ㄧㄡ2", + "ㄧㄠ3" + ], + "㫎": [ + "ㄏㄨㄟ1", + "ㄍㄨㄣ3" + ], + "㫏": [ + "ㄧㄠ3" + ], + "㫐": [ + "ㄧㄠ3" + ], + "㫑": [ + "ㄓ3", + "ㄕ2" + ], + "㫒": [ + "ㄍㄨㄥ3" + ], + "㫓": [ + "ㄑㄧ3" + ], + "㫔": [ + "ㄍㄣ4" + ], + "㫗": [ + "ㄏㄡ4" + ], + "㫘": [ + "ㄇㄧ4" + ], + "㫙": [ + "ㄈㄨ2" + ], + "㫚": [ + "ㄏㄨ1" + ], + "㫛": [ + "ㄍㄨㄤ4" + ], + "㫜": [ + "ㄊㄢ3" + ], + "㫝": [ + "ㄉㄧ1" + ], + "㫟": [ + "ㄧㄢ2" + ], + "㫢": [ + "ㄑㄩ4" + ], + "㫤": [ + "ㄔㄤ3" + ], + "㫥": [ + "ㄇㄧㄥ3" + ], + "㫦": [ + "ㄊㄠ1" + ], + "㫧": [ + "ㄅㄠ4" + ], + "㫨": [ + "ㄢ1" + ], + "㫫": [ + "ㄒㄧㄢ3" + ], + "㫯": [ + "ㄇㄠ4" + ], + "㫰": [ + "ㄌㄤ4", + "ㄌㄤ3" + ], + "㫱": [ + "ㄋㄢ3", + "ㄋㄢ4" + ], + "㫲": [ + "ㄅㄟ4" + ], + "㫳": [ + "ㄔㄣ2" + ], + "㫵": [ + "ㄈㄟ1" + ], + "㫶": [ + "ㄓㄡ3" + ], + "㫷": [ + "ㄐㄧ1" + ], + "㫸": [ + "ㄐㄧㄝ1" + ], + "㫹": [ + "ㄕㄨ4" + ], + "㫻": [ + "ㄎㄨㄣ4" + ], + "㫼": [ + "ㄉㄧㄝ2" + ], + "㫽": [ + "ㄌㄨ4" + ], + "㬂": [ + "ㄩ2" + ], + "㬃": [ + "ㄊㄞ2" + ], + "㬄": [ + "ㄔㄢ4" + ], + "㬅": [ + "ㄇㄢ4" + ], + "㬆": [ + "ㄇㄧㄣ3" + ], + "㬇": [ + "ㄏㄨㄢ4" + ], + "㬈": [ + "ㄨㄣ1" + ], + "㬉": [ + "ㄋㄨㄢ3" + ], + "㬊": [ + "ㄏㄨㄢ4", + "ㄏㄨㄢ3" + ], + "㬋": [ + "ㄏㄡ2" + ], + "㬌": [ + "ㄐㄧㄥ4" + ], + "㬍": [ + "ㄅㄛ2" + ], + "㬎": [ + "ㄒㄧㄢ3" + ], + "㬏": [ + "ㄌㄧ4" + ], + "㬐": [ + "ㄐㄧㄣ4", + "ㄗ1" + ], + "㬒": [ + "ㄇㄤ3" + ], + "㬓": [ + "ㄆㄧㄠ4" + ], + "㬔": [ + "ㄏㄠ2" + ], + "㬕": [ + "ㄧㄤ2" + ], + "㬗": [ + "ㄒㄧㄢ4" + ], + "㬘": [ + "ㄙㄨ4" + ], + "㬙": [ + "ㄨㄟ3" + ], + "㬚": [ + "ㄔㄜ4" + ], + "㬛": [ + "ㄒㄧ1" + ], + "㬜": [ + "ㄐㄧㄣ4" + ], + "㬝": [ + "ㄘㄥ2", + "ㄙㄨㄥ1" + ], + "㬞": [ + "ㄏㄜ4" + ], + "㬟": [ + "ㄈㄣ1" + ], + "㬠": [ + "ㄕㄞ4", + "ㄕㄚ4" + ], + "㬡": [ + "ㄌㄧㄥ2" + ], + "㬣": [ + "ㄉㄨㄟ4" + ], + "㬤": [ + "ㄑㄧ1" + ], + "㬥": [ + "ㄆㄨ4", + "ㄅㄛ2" + ], + "㬦": [ + "ㄩㄝ4" + ], + "㬧": [ + "ㄅㄛ2" + ], + "㬩": [ + "ㄏㄨㄟ4" + ], + "㬪": [ + "ㄉㄧㄝ2" + ], + "㬫": [ + "ㄧㄢ4" + ], + "㬬": [ + "ㄐㄩ4" + ], + "㬭": [ + "ㄐㄧㄠ4" + ], + "㬮": [ + "ㄋㄢ4" + ], + "㬯": [ + "ㄌㄧㄝ4" + ], + "㬰": [ + "ㄩ2" + ], + "㬱": [ + "ㄊㄧ4" + ], + "㬲": [ + "ㄊㄧㄢ1" + ], + "㬳": [ + "ㄨ3" + ], + "㬴": [ + "ㄏㄨㄥ3" + ], + "㬵": [ + "ㄒㄧㄠ2" + ], + "㬶": [ + "ㄏㄠ4" + ], + "㬸": [ + "ㄊㄧㄠ1" + ], + "㬹": [ + "ㄓㄥ1" + ], + "㬻": [ + "ㄏㄨㄤ1", + "ㄏㄤ1", + "ㄏㄨㄤ3" + ], + "㬼": [ + "ㄈㄨ4" + ], + "㬿": [ + "ㄊㄨㄣ1" + ], + "㭁": [ + "ㄖㄥ2" + ], + "㭂": [ + "ㄐㄧㄠ3" + ], + "㭄": [ + "ㄒㄧㄣ4" + ], + "㭇": [ + "ㄩㄢ4" + ], + "㭈": [ + "ㄐㄩㄝ2" + ], + "㭉": [ + "ㄏㄨㄚ2" + ], + "㭋": [ + "ㄅㄤ4" + ], + "㭌": [ + "ㄇㄡ2" + ], + "㭎": [ + "ㄍㄤ1" + ], + "㭏": [ + "ㄨㄟ3" + ], + "㭑": [ + "ㄇㄟ4" + ], + "㭒": [ + "ㄙ4" + ], + "㭓": [ + "ㄅㄧㄢ4" + ], + "㭔": [ + "ㄌㄨ2" + ], + "㭕": [ + "ㄑㄩ1" + ], + "㭘": [ + "ㄍㄜ2", + "ㄏㄜ2" + ], + "㭙": [ + "ㄓㄜ2" + ], + "㭚": [ + "ㄌㄩ3" + ], + "㭛": [ + "ㄆㄞ4", + "ㄅㄚ4" + ], + "㭜": [ + "ㄖㄨㄥ2" + ], + "㭝": [ + "ㄑㄧㄡ2", + "ㄡ4" + ], + "㭞": [ + "ㄌㄧㄝ4" + ], + "㭟": [ + "ㄍㄨㄥ3" + ], + "㭠": [ + "ㄒㄧㄢ3" + ], + "㭡": [ + "ㄒㄧ4", + "ㄒㄧㄣ4" + ], + "㭢": [ + "ㄒㄧㄣ1" + ], + "㭤": [ + "ㄋㄧㄠ3" + ], + "㭨": [ + "ㄒㄧㄝ2" + ], + "㭩": [ + "ㄌㄧㄝ4" + ], + "㭪": [ + "ㄈㄨ1" + ], + "㭫": [ + "ㄘㄨㄛ2", + "ㄘㄨㄢ2" + ], + "㭬": [ + "ㄓㄨㄛ2" + ], + "㭭": [ + "ㄅㄚ1", + "ㄅㄟ4", + "ㄅㄧㄝ1" + ], + "㭮": [ + "ㄗㄨㄛ4", + "ㄗㄢ3" + ], + "㭯": [ + "ㄓㄜ2", + "ㄉㄧㄝ2" + ], + "㭰": [ + "ㄗㄨㄟ1", + "ㄗㄨㄟ3" + ], + "㭱": [ + "ㄏㄜ2" + ], + "㭲": [ + "ㄐㄧ2" + ], + "㭴": [ + "ㄐㄧㄢ1" + ], + "㭸": [ + "ㄊㄨ2" + ], + "㭹": [ + "ㄒㄧㄢ2" + ], + "㭺": [ + "ㄧㄢ3", + "ㄧㄢ4", + "ㄢ1" + ], + "㭻": [ + "ㄊㄤ2" + ], + "㭼": [ + "ㄊㄚ4" + ], + "㭽": [ + "ㄉㄧ3" + ], + "㭾": [ + "ㄐㄩㄝ2" + ], + "㭿": [ + "ㄤ2" + ], + "㮀": [ + "ㄏㄢ2" + ], + "㮁": [ + "ㄒㄧㄠ2" + ], + "㮂": [ + "ㄐㄩ2" + ], + "㮃": [ + "ㄨㄟ1", + "ㄖㄨㄟ2" + ], + "㮄": [ + "ㄅㄤ3" + ], + "㮅": [ + "ㄓㄨㄟ1" + ], + "㮆": [ + "ㄋㄧㄝ4" + ], + "㮇": [ + "ㄊㄧㄢ4" + ], + "㮈": [ + "ㄋㄞ4" + ], + "㮋": [ + "ㄧㄡ3" + ], + "㮌": [ + "ㄇㄧㄢ2" + ], + "㮏": [ + "ㄋㄞ4", + "ㄋㄧ4", + "ㄋㄚ4" + ], + "㮐": [ + "ㄕㄥ3", + "ㄙ4" + ], + "㮑": [ + "ㄔㄚ1", + "ㄑㄧ4" + ], + "㮒": [ + "ㄧㄢ1", + "ㄧㄣ1" + ], + "㮓": [ + "ㄍㄣ4" + ], + "㮔": [ + "ㄔㄨㄥ4", + "ㄊㄨㄥ2" + ], + "㮕": [ + "ㄖㄨㄢ3" + ], + "㮖": [ + "ㄐㄧㄚ2" + ], + "㮗": [ + "ㄑㄧㄣ2" + ], + "㮘": [ + "ㄇㄠ2" + ], + "㮙": [ + "ㄜ4" + ], + "㮚": [ + "ㄌㄧ4" + ], + "㮛": [ + "ㄔ2", + "ㄧ2" + ], + "㮜": [ + "ㄗㄤ1" + ], + "㮝": [ + "ㄏㄜ2" + ], + "㮞": [ + "ㄐㄧㄝ2" + ], + "㮟": [ + "ㄋㄧㄢ3", + "ㄎㄚ1" + ], + "㮡": [ + "ㄍㄨㄢ4" + ], + "㮢": [ + "ㄏㄡ2" + ], + "㮣": [ + "ㄍㄞ4" + ], + "㮥": [ + "ㄅㄣ4", + "ㄈㄢ4" + ], + "㮦": [ + "ㄙㄨㄛ3", + "ㄙㄜ4" + ], + "㮧": [ + "ㄨ1", + "ㄨㄣ1" + ], + "㮨": [ + "ㄐㄧ4" + ], + "㮩": [ + "ㄒㄧ1" + ], + "㮪": [ + "ㄑㄩㄥ2" + ], + "㮫": [ + "ㄏㄜ2", + "ㄒㄧㄚ2", + "ㄑㄧㄚ4" + ], + "㮬": [ + "ㄨㄥ1" + ], + "㮭": [ + "ㄒㄧㄢ2" + ], + "㮮": [ + "ㄐㄧㄝ2" + ], + "㮯": [ + "ㄏㄨㄣ2", + "ㄏㄨㄚ2" + ], + "㮰": [ + "ㄆㄧ2" + ], + "㮱": [ + "ㄕㄣ1" + ], + "㮲": [ + "ㄔㄡ1" + ], + "㮳": [ + "ㄓㄣ4" + ], + "㮵": [ + "ㄓㄢ1" + ], + "㮶": [ + "ㄕㄨㄛ4" + ], + "㮷": [ + "ㄐㄧ1" + ], + "㮸": [ + "ㄙㄨㄥ4" + ], + "㮹": [ + "ㄓ3" + ], + "㮺": [ + "ㄅㄣ3" + ], + "㮾": [ + "ㄌㄤ3" + ], + "㮿": [ + "ㄅㄧ4" + ], + "㯀": [ + "ㄒㄩㄢ4" + ], + "㯁": [ + "ㄆㄟ2" + ], + "㯂": [ + "ㄉㄞ4" + ], + "㯃": [ + "ㄑㄧ1" + ], + "㯄": [ + "ㄓ1" + ], + "㯅": [ + "ㄆㄧ2", + "ㄅㄧ1" + ], + "㯆": [ + "ㄔㄢ3", + "ㄕㄢ4" + ], + "㯇": [ + "ㄅㄧ4" + ], + "㯈": [ + "ㄙㄨ4" + ], + "㯉": [ + "ㄏㄨㄛ4" + ], + "㯊": [ + "ㄏㄣ2" + ], + "㯋": [ + "ㄐㄩㄥ3", + "ㄧㄥ3" + ], + "㯌": [ + "ㄔㄨㄢ2" + ], + "㯍": [ + "ㄐㄧㄤ3" + ], + "㯎": [ + "ㄋㄣ4" + ], + "㯏": [ + "ㄍㄨ3" + ], + "㯐": [ + "ㄈㄤ3" + ], + "㯓": [ + "ㄊㄚ4", + "ㄉㄚ2" + ], + "㯔": [ + "ㄘㄨㄟ4" + ], + "㯕": [ + "ㄒㄧ1" + ], + "㯖": [ + "ㄉㄜ2" + ], + "㯗": [ + "ㄒㄧㄢ2" + ], + "㯘": [ + "ㄎㄨㄢ3" + ], + "㯙": [ + "ㄓㄜ2" + ], + "㯚": [ + "ㄊㄚ1" + ], + "㯛": [ + "ㄏㄨ2" + ], + "㯜": [ + "ㄘㄨㄟ4" + ], + "㯝": [ + "ㄌㄨ4" + ], + "㯞": [ + "ㄐㄩㄢ4" + ], + "㯟": [ + "ㄌㄨ4" + ], + "㯠": [ + "ㄑㄧㄢ4" + ], + "㯡": [ + "ㄆㄠ4", + "ㄆㄠ2" + ], + "㯢": [ + "ㄓㄣ4" + ], + "㯤": [ + "ㄌㄧ4" + ], + "㯥": [ + "ㄘㄠ2", + "ㄗㄠ1" + ], + "㯦": [ + "ㄑㄧ2" + ], + "㯩": [ + "ㄊㄧ4" + ], + "㯪": [ + "ㄌㄧㄥ2" + ], + "㯫": [ + "ㄑㄩ2" + ], + "㯬": [ + "ㄌㄧㄢ3" + ], + "㯭": [ + "ㄌㄨ3" + ], + "㯮": [ + "ㄕㄨ2" + ], + "㯯": [ + "ㄍㄨㄥ4", + "ㄉㄢ3", + "ㄐㄩ4" + ], + "㯰": [ + "ㄓㄜ2" + ], + "㯱": [ + "ㄆㄠ1" + ], + "㯲": [ + "ㄐㄧㄣ4" + ], + "㯳": [ + "ㄑㄧㄥ2" + ], + "㯶": [ + "ㄗㄨㄥ1" + ], + "㯷": [ + "ㄆㄨ2" + ], + "㯸": [ + "ㄐㄧㄣ3" + ], + "㯹": [ + "ㄅㄧㄠ3" + ], + "㯺": [ + "ㄐㄧㄢ4" + ], + "㯻": [ + "ㄍㄨㄣ3" + ], + "㯽": [ + "ㄅㄧㄣ1" + ], + "㯾": [ + "ㄗㄠ1" + ], + "㯿": [ + "ㄌㄧㄝ4", + "ㄌㄚ4" + ], + "㰀": [ + "ㄌㄧ2" + ], + "㰁": [ + "ㄌㄨㄛ3" + ], + "㰂": [ + "ㄕㄣ3" + ], + "㰃": [ + "ㄇㄧㄢ2", + "ㄇㄧㄢ4" + ], + "㰄": [ + "ㄐㄧㄢ4" + ], + "㰅": [ + "ㄉㄧ2", + "ㄓㄜ2" + ], + "㰆": [ + "ㄅㄟ4" + ], + "㰈": [ + "ㄌㄧㄢ3" + ], + "㰊": [ + "ㄒㄧㄢ2" + ], + "㰋": [ + "ㄆㄧㄣ2" + ], + "㰌": [ + "ㄑㄩㄝ4" + ], + "㰍": [ + "ㄌㄨㄥ2" + ], + "㰎": [ + "ㄗㄨㄟ4" + ], + "㰐": [ + "ㄐㄩㄝ2" + ], + "㰑": [ + "ㄕㄢ1" + ], + "㰒": [ + "ㄒㄩㄝ2" + ], + "㰔": [ + "ㄒㄧㄝ4" + ], + "㰖": [ + "ㄌㄢ3" + ], + "㰗": [ + "ㄑㄧ2" + ], + "㰘": [ + "ㄧ2" + ], + "㰙": [ + "ㄋㄨㄛ2" + ], + "㰚": [ + "ㄌㄧ2" + ], + "㰛": [ + "ㄩㄝ4" + ], + "㰝": [ + "ㄧ3" + ], + "㰞": [ + "ㄔ1" + ], + "㰟": [ + "ㄐㄧ4", + "ㄑㄧ4" + ], + "㰠": [ + "ㄏㄤ1" + ], + "㰡": [ + "ㄒㄧㄝ4" + ], + "㰢": [ + "ㄎㄥ1" + ], + "㰣": [ + "ㄗ1" + ], + "㰤": [ + "ㄏㄜ1", + "ㄑㄧㄝ4" + ], + "㰥": [ + "ㄒㄧ4", + "ㄏㄨㄟ4" + ], + "㰦": [ + "ㄑㄩ4" + ], + "㰧": [ + "ㄏㄞ1" + ], + "㰨": [ + "ㄒㄧㄚ1" + ], + "㰩": [ + "ㄏㄞ1" + ], + "㰪": [ + "ㄍㄨㄟ1" + ], + "㰫": [ + "ㄔㄢ1" + ], + "㰬": [ + "ㄒㄩㄣ2" + ], + "㰭": [ + "ㄒㄩ1" + ], + "㰮": [ + "ㄕㄣ4" + ], + "㰯": [ + "ㄎㄡ4", + "ㄊㄡ4", + "ㄊㄡ3", + "ㄏㄡ4" + ], + "㰰": [ + "ㄒㄧㄚ1", + "ㄑㄧㄝ4", + "ㄏㄜ1" + ], + "㰱": [ + "ㄕㄚ4" + ], + "㰲": [ + "ㄩ1", + "ㄒㄩ4" + ], + "㰳": [ + "ㄧㄚ4", + "ㄧㄚ1" + ], + "㰴": [ + "ㄆㄡ3" + ], + "㰵": [ + "ㄗㄨ2" + ], + "㰶": [ + "ㄧㄡ3", + "ㄡ3" + ], + "㰷": [ + "ㄗ4" + ], + "㰸": [ + "ㄌㄧㄢ3" + ], + "㰹": [ + "ㄒㄧㄢ1", + "ㄒㄧㄢ4", + "ㄏㄢ3" + ], + "㰺": [ + "ㄒㄧㄚ4", + "ㄒㄧㄚ2" + ], + "㰻": [ + "ㄧ3", + "ㄒㄧ1", + "ㄏㄡ4" + ], + "㰼": [ + "ㄕㄚ4", + "ㄑㄧㄝ4" + ], + "㰽": [ + "ㄧㄢ4" + ], + "㰾": [ + "ㄐㄧㄠ4" + ], + "㰿": [ + "ㄒㄧ1" + ], + "㱀": [ + "ㄔ3" + ], + "㱁": [ + "ㄕ4", + "ㄎㄨㄢ3" + ], + "㱂": [ + "ㄎㄤ1" + ], + "㱃": [ + "ㄧㄣ3" + ], + "㱄": [ + "ㄏㄟ1", + "ㄇㄛ4" + ], + "㱅": [ + "ㄧ4" + ], + "㱆": [ + "ㄒㄧ1" + ], + "㱇": [ + "ㄙㄜ4", + "ㄒㄧ4" + ], + "㱈": [ + "ㄐㄧㄣ4" + ], + "㱉": [ + "ㄧㄝ4" + ], + "㱊": [ + "ㄧㄡ1" + ], + "㱋": [ + "ㄑㄩㄝ4" + ], + "㱌": [ + "ㄧㄝ2", + "ㄔㄜ4" + ], + "㱍": [ + "ㄌㄨㄢ2" + ], + "㱎": [ + "ㄎㄨㄣ1" + ], + "㱏": [ + "ㄓㄥ4" + ], + "㱔": [ + "ㄒㄧㄝ1" + ], + "㱖": [ + "ㄘㄨㄟ4" + ], + "㱗": [ + "ㄒㄧㄡ1" + ], + "㱘": [ + "ㄢ4" + ], + "㱙": [ + "ㄒㄧㄡ3", + "ㄍㄨㄚ3" + ], + "㱚": [ + "ㄘㄢ2" + ], + "㱛": [ + "ㄔㄨㄢ3", + "ㄅㄨ4" + ], + "㱜": [ + "ㄓㄚ2" + ], + "㱞": [ + "ㄧ4", + "ㄌㄚ1" + ], + "㱟": [ + "ㄆㄧ1", + "ㄆㄧ3" + ], + "㱠": [ + "ㄎㄨ1", + "ㄍㄨ1" + ], + "㱡": [ + "ㄕㄥ1" + ], + "㱢": [ + "ㄌㄤ2" + ], + "㱣": [ + "ㄊㄨㄟ3" + ], + "㱤": [ + "ㄒㄧ1" + ], + "㱥": [ + "ㄌㄧㄥ2", + "ㄌㄥ4" + ], + "㱦": [ + "ㄑㄧ1" + ], + "㱧": [ + "ㄨㄛ4", + "ㄩㄢ3" + ], + "㱨": [ + "ㄌㄧㄢ4" + ], + "㱩": [ + "ㄉㄨ2" + ], + "㱪": [ + "ㄇㄣ4" + ], + "㱫": [ + "ㄌㄢ4" + ], + "㱬": [ + "ㄨㄟ3" + ], + "㱭": [ + "ㄉㄨㄢ4" + ], + "㱮": [ + "ㄎㄨㄞ4" + ], + "㱯": [ + "ㄞ2" + ], + "㱰": [ + "ㄗㄞ3" + ], + "㱱": [ + "ㄏㄨㄟ4" + ], + "㱲": [ + "ㄧ4" + ], + "㱳": [ + "ㄇㄛ4" + ], + "㱴": [ + "ㄗ4" + ], + "㱵": [ + "ㄈㄣ4" + ], + "㱶": [ + "ㄆㄥ2", + "ㄅㄥ1" + ], + "㱸": [ + "ㄅㄧ4" + ], + "㱹": [ + "ㄌㄧ4" + ], + "㱺": [ + "ㄌㄨ2" + ], + "㱻": [ + "ㄌㄨㄛ4" + ], + "㱼": [ + "ㄏㄞ1" + ], + "㱽": [ + "ㄓㄣ3", + "ㄑㄧㄣ2" + ], + "㱾": [ + "ㄍㄞ1", + "ㄎㄞ1" + ], + "㱿": [ + "ㄑㄩㄝ4", + "ㄏㄨ4", + "ㄑㄧㄤ3" + ], + "㲀": [ + "ㄓㄣ1", + "ㄔㄣ1" + ], + "㲁": [ + "ㄎㄨㄥ1", + "ㄓㄨㄥ1" + ], + "㲂": [ + "ㄔㄥ2" + ], + "㲃": [ + "ㄐㄧㄡ4" + ], + "㲄": [ + "ㄐㄩㄝ2", + "ㄎㄨ1" + ], + "㲅": [ + "ㄐㄧ4" + ], + "㲆": [ + "ㄌㄧㄥ2" + ], + "㲈": [ + "ㄕㄠ2", + "ㄊㄠ2" + ], + "㲉": [ + "ㄑㄩㄝ4" + ], + "㲊": [ + "ㄖㄨㄟ4" + ], + "㲋": [ + "ㄔㄨㄛ4" + ], + "㲌": [ + "ㄋㄥ4" + ], + "㲍": [ + "ㄓ1" + ], + "㲎": [ + "ㄌㄡ2" + ], + "㲏": [ + "ㄆㄠ1" + ], + "㲒": [ + "ㄅㄠ4", + "ㄑㄩ2" + ], + "㲓": [ + "ㄖㄨㄥ2", + "ㄕㄨ4" + ], + "㲔": [ + "ㄒㄧㄢ1" + ], + "㲕": [ + "ㄌㄟ4" + ], + "㲖": [ + "ㄒㄧㄠ1" + ], + "㲗": [ + "ㄈㄨ1" + ], + "㲘": [ + "ㄑㄩ2" + ], + "㲚": [ + "ㄕㄚ1" + ], + "㲛": [ + "ㄓ3" + ], + "㲜": [ + "ㄊㄢ2" + ], + "㲝": [ + "ㄖㄨㄥ3" + ], + "㲞": [ + "ㄙㄨ1", + "ㄗㄨ2" + ], + "㲟": [ + "ㄧㄥ3" + ], + "㲠": [ + "ㄇㄠ2" + ], + "㲡": [ + "ㄋㄞ4" + ], + "㲢": [ + "ㄅㄧㄢ4" + ], + "㲤": [ + "ㄕㄨㄞ1" + ], + "㲥": [ + "ㄊㄤ2" + ], + "㲦": [ + "ㄏㄢ4" + ], + "㲧": [ + "ㄙㄠ4" + ], + "㲨": [ + "ㄖㄨㄥ2" + ], + "㲪": [ + "ㄉㄥ1" + ], + "㲫": [ + "ㄆㄨ2" + ], + "㲬": [ + "ㄐㄧㄠ1" + ], + "㲭": [ + "ㄊㄢ3" + ], + "㲯": [ + "ㄖㄢ2" + ], + "㲰": [ + "ㄋㄧㄥ2" + ], + "㲱": [ + "ㄌㄧㄝ4" + ], + "㲲": [ + "ㄉㄧㄝ2" + ], + "㲳": [ + "ㄉㄧㄝ2", + "ㄓ4" + ], + "㲴": [ + "ㄓㄨㄥ4" + ], + "㲶": [ + "ㄌㄩ4" + ], + "㲷": [ + "ㄉㄢ4" + ], + "㲸": [ + "ㄒㄧ1" + ], + "㲹": [ + "ㄍㄨㄟ3" + ], + "㲺": [ + "ㄐㄧ2" + ], + "㲻": [ + "ㄋㄧ4" + ], + "㲼": [ + "ㄧ4", + "ㄔㄚ4" + ], + "㲽": [ + "ㄋㄧㄢ4", + "ㄖㄣ3" + ], + "㲾": [ + "ㄩ3" + ], + "㲿": [ + "ㄨㄤ3" + ], + "㳀": [ + "ㄍㄨㄛ4" + ], + "㳁": [ + "ㄗㄜ4" + ], + "㳂": [ + "ㄧㄢ2", + "ㄧㄢ4" + ], + "㳃": [ + "ㄘㄨㄟ4" + ], + "㳄": [ + "ㄒㄧㄢ2" + ], + "㳅": [ + "ㄐㄧㄠ3" + ], + "㳆": [ + "ㄊㄡ3" + ], + "㳇": [ + "ㄈㄨ4" + ], + "㳈": [ + "ㄆㄟ4" + ], + "㳊": [ + "ㄧㄡ1", + "ㄓㄨㄥ1" + ], + "㳋": [ + "ㄑㄧㄡ1" + ], + "㳌": [ + "ㄧㄚ1" + ], + "㳍": [ + "ㄅㄨ4" + ], + "㳎": [ + "ㄅㄧㄢ4" + ], + "㳏": [ + "ㄕ4" + ], + "㳐": [ + "ㄓㄚ2" + ], + "㳑": [ + "ㄧ4" + ], + "㳒": [ + "ㄅㄧㄢ4" + ], + "㳔": [ + "ㄉㄨㄟ4" + ], + "㳕": [ + "ㄌㄢ2" + ], + "㳖": [ + "ㄧ1" + ], + "㳗": [ + "ㄔㄞ4", + "ㄔㄚ4" + ], + "㳘": [ + "ㄔㄨㄥ1" + ], + "㳙": [ + "ㄒㄩㄢ4" + ], + "㳚": [ + "ㄒㄩ4" + ], + "㳛": [ + "ㄩ2", + "ㄧㄡ2" + ], + "㳜": [ + "ㄒㄧㄡ1" + ], + "㳠": [ + "ㄊㄚ4" + ], + "㳡": [ + "ㄍㄨㄛ1" + ], + "㳥": [ + "ㄌㄨㄥ4" + ], + "㳦": [ + "ㄒㄧㄝ4" + ], + "㳧": [ + "ㄔㄜ4", + "ㄖㄜ4" + ], + "㳨": [ + "ㄐㄧㄢ3" + ], + "㳩": [ + "ㄊㄢ1" + ], + "㳪": [ + "ㄆㄧ4" + ], + "㳫": [ + "ㄗㄢ3" + ], + "㳬": [ + "ㄒㄩㄢ2" + ], + "㳭": [ + "ㄒㄧㄢ2" + ], + "㳮": [ + "ㄋㄧㄠ4" + ], + "㳴": [ + "ㄇㄧ4" + ], + "㳵": [ + "ㄐㄧ4" + ], + "㳶": [ + "ㄋㄡ3", + "ㄖㄨ3" + ], + "㳷": [ + "ㄏㄨ1", + "ㄇㄧㄣ3", + "ㄨㄣ3", + "ㄊㄨㄟ4" + ], + "㳸": [ + "ㄏㄨㄚ1" + ], + "㳹": [ + "ㄨㄤ3", + "ㄨㄤ1" + ], + "㳺": [ + "ㄧㄡ2" + ], + "㳻": [ + "ㄗㄜ2" + ], + "㳼": [ + "ㄅㄧ4", + "ㄩ4" + ], + "㳽": [ + "ㄇㄧ3" + ], + "㳾": [ + "ㄑㄧㄤ1" + ], + "㳿": [ + "ㄒㄧㄝ4" + ], + "㴀": [ + "ㄈㄢ4", + "ㄈㄢ1" + ], + "㴁": [ + "ㄧ4" + ], + "㴂": [ + "ㄊㄢ1" + ], + "㴃": [ + "ㄌㄟ4" + ], + "㴄": [ + "ㄩㄥ3" + ], + "㴆": [ + "ㄐㄧㄣ4" + ], + "㴇": [ + "ㄕㄜ4", + "ㄇㄤ2" + ], + "㴈": [ + "ㄧㄣ4" + ], + "㴉": [ + "ㄐㄧ3" + ], + "㴋": [ + "ㄙㄨ4" + ], + "㴎": [ + "ㄋㄞ4" + ], + "㴏": [ + "ㄨㄤ3" + ], + "㴐": [ + "ㄇㄧㄢ4", + "ㄇㄧㄢ3" + ], + "㴑": [ + "ㄙㄨ4" + ], + "㴒": [ + "ㄧ4" + ], + "㴓": [ + "ㄕㄞ1" + ], + "㴔": [ + "ㄒㄧ1", + "ㄐㄧ2", + "ㄧ4", + "ㄙㄜ4" + ], + "㴕": [ + "ㄐㄧ2" + ], + "㴖": [ + "ㄌㄨㄛ4" + ], + "㴗": [ + "ㄧㄡ1" + ], + "㴘": [ + "ㄇㄠ4" + ], + "㴙": [ + "ㄓㄚ3", + "ㄓㄚ2" + ], + "㴚": [ + "ㄙㄨㄟ4" + ], + "㴛": [ + "ㄓ4" + ], + "㴜": [ + "ㄅㄧㄢ4" + ], + "㴝": [ + "ㄌㄧ2" + ], + "㴥": [ + "ㄑㄧㄠ4" + ], + "㴦": [ + "ㄍㄨㄢ4" + ], + "㴧": [ + "ㄒㄧ1" + ], + "㴨": [ + "ㄓㄣ4" + ], + "㴩": [ + "ㄩㄥ1" + ], + "㴪": [ + "ㄋㄧㄝ4" + ], + "㴫": [ + "ㄐㄩㄣ4", + "ㄧㄚ2" + ], + "㴬": [ + "ㄒㄧㄝ4" + ], + "㴭": [ + "ㄧㄠ3" + ], + "㴮": [ + "ㄒㄧㄝ4" + ], + "㴯": [ + "ㄓ1" + ], + "㴰": [ + "ㄋㄥ2" + ], + "㴲": [ + "ㄙ1" + ], + "㴳": [ + "ㄌㄨㄥ3" + ], + "㴴": [ + "ㄔㄣ2" + ], + "㴵": [ + "ㄇㄧ4" + ], + "㴶": [ + "ㄑㄩㄝ4", + "ㄏㄨ2" + ], + "㴷": [ + "ㄉㄢ1" + ], + "㴸": [ + "ㄕㄢ3" + ], + "㴼": [ + "ㄙㄨ4" + ], + "㴽": [ + "ㄒㄧㄝ4" + ], + "㴾": [ + "ㄅㄛ2" + ], + "㴿": [ + "ㄉㄧㄥ3" + ], + "㵀": [ + "ㄗㄨ2" + ], + "㵂": [ + "ㄕㄨ4" + ], + "㵃": [ + "ㄕㄜ2" + ], + "㵄": [ + "ㄏㄢ4", + "ㄩ4" + ], + "㵅": [ + "ㄊㄢ1", + "ㄊㄢ4" + ], + "㵆": [ + "ㄍㄠ3" + ], + "㵊": [ + "ㄋㄚ4" + ], + "㵋": [ + "ㄇㄧ4" + ], + "㵌": [ + "ㄒㄩㄣ2" + ], + "㵍": [ + "ㄇㄣ4" + ], + "㵎": [ + "ㄐㄧㄢ4" + ], + "㵏": [ + "ㄘㄨㄟ3" + ], + "㵐": [ + "ㄐㄩㄝ2" + ], + "㵑": [ + "ㄏㄜ4" + ], + "㵒": [ + "ㄈㄟ4", + "ㄆㄞ4", + "ㄅㄧ4" + ], + "㵓": [ + "ㄕ2" + ], + "㵔": [ + "ㄔㄜ3" + ], + "㵕": [ + "ㄕㄣ4" + ], + "㵖": [ + "ㄋㄩ4" + ], + "㵗": [ + "ㄆㄧㄥ2" + ], + "㵘": [ + "ㄇㄢ4" + ], + "㵝": [ + "ㄧ4" + ], + "㵞": [ + "ㄔㄡ2" + ], + "㵠": [ + "ㄎㄨ1" + ], + "㵡": [ + "ㄅㄠ2" + ], + "㵢": [ + "ㄌㄟ2" + ], + "㵣": [ + "ㄎㄜ3" + ], + "㵤": [ + "ㄕㄚ4" + ], + "㵥": [ + "ㄅㄧ4" + ], + "㵦": [ + "ㄙㄨㄟ2" + ], + "㵧": [ + "ㄍㄜ2", + "ㄧ4" + ], + "㵨": [ + "ㄆㄧ4", + "ㄅㄛ2" + ], + "㵩": [ + "ㄧ4" + ], + "㵪": [ + "ㄒㄧㄢ2", + "ㄧㄢ4", + "ㄧㄢ2" + ], + "㵫": [ + "ㄋㄧ4" + ], + "㵬": [ + "ㄧㄥ2" + ], + "㵭": [ + "ㄓㄨ3" + ], + "㵮": [ + "ㄔㄨㄣ2" + ], + "㵯": [ + "ㄈㄥ2" + ], + "㵰": [ + "ㄒㄩ4" + ], + "㵱": [ + "ㄆㄧㄠ3" + ], + "㵲": [ + "ㄨ3" + ], + "㵳": [ + "ㄌㄧㄠ2" + ], + "㵴": [ + "ㄘㄤ2" + ], + "㵵": [ + "ㄗㄡ4", + "ㄐㄩ4" + ], + "㵶": [ + "ㄗㄨㄛ1" + ], + "㵷": [ + "ㄅㄧㄢ4" + ], + "㵸": [ + "ㄧㄠ4" + ], + "㵹": [ + "ㄏㄨㄢ2", + "ㄇㄛ4" + ], + "㵺": [ + "ㄆㄞ4" + ], + "㵻": [ + "ㄒㄧㄡ1" + ], + "㵽": [ + "ㄌㄟ3" + ], + "㵾": [ + "ㄑㄧㄥ4", + "ㄐㄧㄥ4" + ], + "㵿": [ + "ㄒㄧㄠ4" + ], + "㶀": [ + "ㄐㄧㄠ1" + ], + "㶁": [ + "ㄍㄨㄛ2", + "ㄏㄨㄛ4" + ], + "㶄": [ + "ㄧㄢ2" + ], + "㶅": [ + "ㄒㄩㄝ2" + ], + "㶆": [ + "ㄓㄨ1", + "ㄔㄨ2" + ], + "㶇": [ + "ㄏㄥ2" + ], + "㶈": [ + "ㄧㄥ2" + ], + "㶉": [ + "ㄒㄧ1" + ], + "㶌": [ + "ㄌㄧㄢ2" + ], + "㶍": [ + "ㄒㄧㄢ3" + ], + "㶎": [ + "ㄏㄨㄢ2" + ], + "㶏": [ + "ㄧㄣ1" + ], + "㶑": [ + "ㄌㄧㄢ4" + ], + "㶒": [ + "ㄕㄢ3", + "ㄕㄣ3", + "ㄊㄢ4" + ], + "㶓": [ + "ㄘㄤ2" + ], + "㶔": [ + "ㄅㄟ4" + ], + "㶕": [ + "ㄐㄧㄢ3" + ], + "㶖": [ + "ㄕㄨ4" + ], + "㶗": [ + "ㄈㄢ4", + "ㄈㄢ2" + ], + "㶘": [ + "ㄉㄧㄢ4" + ], + "㶚": [ + "ㄅㄚ4" + ], + "㶛": [ + "ㄩ2" + ], + "㶞": [ + "ㄋㄤ3" + ], + "㶟": [ + "ㄌㄟ3" + ], + "㶠": [ + "ㄧ4" + ], + "㶡": [ + "ㄉㄞ4", + "ㄏㄨㄛ3" + ], + "㶣": [ + "ㄔㄢ2", + "ㄧㄣ2" + ], + "㶤": [ + "ㄔㄠ3" + ], + "㶥": [ + "ㄍㄢ1" + ], + "㶦": [ + "ㄐㄧㄣ4" + ], + "㶧": [ + "ㄋㄣ4" + ], + "㶫": [ + "ㄌㄧㄠ3" + ], + "㶬": [ + "ㄇㄛ4" + ], + "㶭": [ + "ㄧㄡ3" + ], + "㶯": [ + "ㄌㄧㄡ4" + ], + "㶰": [ + "ㄏㄢ2" + ], + "㶲": [ + "ㄩㄥ4" + ], + "㶳": [ + "ㄐㄧㄣ4" + ], + "㶴": [ + "ㄔ3" + ], + "㶵": [ + "ㄖㄣ4" + ], + "㶶": [ + "ㄋㄨㄥ2" + ], + "㶹": [ + "ㄏㄨㄥ4" + ], + "㶺": [ + "ㄊㄧㄢ4" + ], + "㶼": [ + "ㄞ1", + "ㄒㄧ1" + ], + "㶽": [ + "ㄍㄨㄚ1" + ], + "㶾": [ + "ㄅㄧㄠ1" + ], + "㶿": [ + "ㄅㄛ2" + ], + "㷀": [ + "ㄑㄩㄥ2" + ], + "㷂": [ + "ㄕㄨ4" + ], + "㷃": [ + "ㄔㄨㄟ3" + ], + "㷄": [ + "ㄏㄨㄟ3" + ], + "㷅": [ + "ㄔㄠ3" + ], + "㷆": [ + "ㄈㄨ4" + ], + "㷇": [ + "ㄏㄨㄟ1", + "ㄍㄨㄞ4" + ], + "㷈": [ + "ㄜ4" + ], + "㷉": [ + "ㄨㄟ4" + ], + "㷊": [ + "ㄈㄣ2" + ], + "㷋": [ + "ㄊㄢ2" + ], + "㷍": [ + "ㄌㄨㄣ2" + ], + "㷎": [ + "ㄏㄜ4" + ], + "㷏": [ + "ㄩㄥ3" + ], + "㷐": [ + "ㄏㄨㄟ3" + ], + "㷒": [ + "ㄩ2" + ], + "㷓": [ + "ㄗㄨㄥ3" + ], + "㷔": [ + "ㄧㄢ4" + ], + "㷕": [ + "ㄑㄧㄡ2" + ], + "㷖": [ + "ㄓㄠ4" + ], + "㷗": [ + "ㄐㄩㄥ3" + ], + "㷘": [ + "ㄊㄞ2" + ], + "㷟": [ + "ㄊㄨㄟ4" + ], + "㷠": [ + "ㄌㄧㄣ2" + ], + "㷡": [ + "ㄐㄩㄥ3" + ], + "㷢": [ + "ㄓㄚ3" + ], + "㷣": [ + "ㄒㄧㄥ1" + ], + "㷤": [ + "ㄏㄨ4", + "ㄒㄩㄝ4" + ], + "㷦": [ + "ㄒㄩ4" + ], + "㷪": [ + "ㄘㄨㄟ4" + ], + "㷫": [ + "ㄑㄧㄥ3" + ], + "㷬": [ + "ㄇㄛ4" + ], + "㷮": [ + "ㄗㄠ1" + ], + "㷯": [ + "ㄅㄥ4" + ], + "㷰": [ + "ㄔ1", + "ㄌㄧ2" + ], + "㷳": [ + "ㄧㄢ4" + ], + "㷴": [ + "ㄍㄜ2" + ], + "㷵": [ + "ㄇㄛ4" + ], + "㷶": [ + "ㄅㄟ4" + ], + "㷷": [ + "ㄐㄩㄢ3" + ], + "㷸": [ + "ㄉㄧㄝ2" + ], + "㷹": [ + "ㄓㄠ4", + "ㄕㄠ4" + ], + "㷻": [ + "ㄨ2" + ], + "㷼": [ + "ㄧㄢ4" + ], + "㷾": [ + "ㄐㄩㄝ2" + ], + "㷿": [ + "ㄒㄧㄢ1" + ], + "㸀": [ + "ㄊㄞ2" + ], + "㸁": [ + "ㄏㄢ3" + ], + "㸃": [ + "ㄉㄧㄢ3" + ], + "㸄": [ + "ㄐㄧ4" + ], + "㸅": [ + "ㄐㄧㄝ2", + "ㄐㄧ2" + ], + "㸆": [ + "ㄎㄠ4" + ], + "㸇": [ + "ㄗㄨㄢ3" + ], + "㸉": [ + "ㄒㄧㄝ4" + ], + "㸊": [ + "ㄌㄞ4", + "ㄌㄚ4" + ], + "㸋": [ + "ㄈㄢ2" + ], + "㸌": [ + "ㄏㄨㄛ4" + ], + "㸍": [ + "ㄒㄧ4" + ], + "㸎": [ + "ㄋㄧㄝ4" + ], + "㸏": [ + "ㄇㄧ2" + ], + "㸐": [ + "ㄖㄢ2" + ], + "㸑": [ + "ㄘㄨㄢ4" + ], + "㸒": [ + "ㄧㄣ2", + "ㄐㄧㄥ1" + ], + "㸓": [ + "ㄇㄧ4" + ], + "㸕": [ + "ㄐㄩㄝ2" + ], + "㸖": [ + "ㄑㄩ1" + ], + "㸗": [ + "ㄊㄨㄥ2" + ], + "㸘": [ + "ㄨㄢ4" + ], + "㸙": [ + "ㄓㄜ1" + ], + "㸚": [ + "ㄌㄧ3", + "ㄌㄧ4" + ], + "㸛": [ + "ㄕㄠ2" + ], + "㸜": [ + "ㄎㄨㄥ4" + ], + "㸝": [ + "ㄒㄧㄢ1", + "ㄎㄢ3" + ], + "㸞": [ + "ㄓㄜ2" + ], + "㸟": [ + "ㄓ1" + ], + "㸠": [ + "ㄊㄧㄠ3" + ], + "㸡": [ + "ㄕㄨ1" + ], + "㸢": [ + "ㄅㄟ4" + ], + "㸣": [ + "ㄧㄝ4" + ], + "㸤": [ + "ㄆㄧㄢ4" + ], + "㸥": [ + "ㄔㄢ4" + ], + "㸦": [ + "ㄏㄨ4", + "ㄐㄧㄚ4" + ], + "㸧": [ + "ㄎㄣ4" + ], + "㸨": [ + "ㄐㄧㄡ1" + ], + "㸩": [ + "ㄢ1" + ], + "㸪": [ + "ㄔㄨㄣ2" + ], + "㸫": [ + "ㄑㄧㄢ2" + ], + "㸬": [ + "ㄅㄟ4" + ], + "㸭": [ + "ㄅㄚ1" + ], + "㸮": [ + "ㄈㄣ2" + ], + "㸯": [ + "ㄎㄜ1" + ], + "㸰": [ + "ㄊㄨㄛ2" + ], + "㸱": [ + "ㄊㄨㄛ2" + ], + "㸲": [ + "ㄗㄨㄛ2" + ], + "㸳": [ + "ㄌㄧㄥ2" + ], + "㸵": [ + "ㄍㄨㄟ3" + ], + "㸶": [ + "ㄧㄢ1" + ], + "㸷": [ + "ㄕ4" + ], + "㸸": [ + "ㄏㄡ3", + "ㄡ3", + "ㄎㄡ3" + ], + "㸹": [ + "ㄌㄧㄝ4", + "ㄌㄨㄛ1" + ], + "㸺": [ + "ㄕㄚ1" + ], + "㸻": [ + "ㄙ4" + ], + "㸽": [ + "ㄅㄟ4" + ], + "㸾": [ + "ㄖㄣ4" + ], + "㸿": [ + "ㄉㄨ2" + ], + "㹀": [ + "ㄅㄛ2" + ], + "㹁": [ + "ㄌㄧㄤ2" + ], + "㹂": [ + "ㄑㄧㄢ3" + ], + "㹃": [ + "ㄈㄟ4" + ], + "㹄": [ + "ㄐㄧ4" + ], + "㹅": [ + "ㄗㄨㄥ3" + ], + "㹆": [ + "ㄏㄨㄟ1" + ], + "㹇": [ + "ㄏㄜ2", + "ㄐㄧㄢ1" + ], + "㹈": [ + "ㄌㄧ2" + ], + "㹉": [ + "ㄩㄢ2", + "ㄨㄢ2" + ], + "㹊": [ + "ㄩㄝ4" + ], + "㹋": [ + "ㄒㄧㄡ1" + ], + "㹌": [ + "ㄔㄢ3", + "ㄕㄥ4" + ], + "㹍": [ + "ㄉㄧ2" + ], + "㹎": [ + "ㄌㄟ2" + ], + "㹏": [ + "ㄐㄧㄣ3" + ], + "㹐": [ + "ㄔㄨㄥ2" + ], + "㹑": [ + "ㄙ4" + ], + "㹒": [ + "ㄆㄨ3" + ], + "㹓": [ + "ㄧㄠ3" + ], + "㹔": [ + "ㄐㄧㄤ1" + ], + "㹕": [ + "ㄏㄨㄢ1" + ], + "㹖": [ + "ㄏㄨㄢ4" + ], + "㹗": [ + "ㄊㄠ1" + ], + "㹘": [ + "ㄖㄨ4" + ], + "㹙": [ + "ㄨㄥ3" + ], + "㹚": [ + "ㄧㄥ2" + ], + "㹛": [ + "ㄖㄠ2" + ], + "㹜": [ + "ㄧㄣ2" + ], + "㹝": [ + "ㄕ4" + ], + "㹞": [ + "ㄧㄣ2", + "ㄧㄣ3", + "ㄧㄚ2" + ], + "㹟": [ + "ㄐㄩㄝ2", + "ㄎㄨㄞ4" + ], + "㹠": [ + "ㄊㄨㄣ2" + ], + "㹡": [ + "ㄒㄩㄢ2" + ], + "㹢": [ + "ㄐㄧㄚ1", + "ㄍㄚ1" + ], + "㹣": [ + "ㄓㄨㄥ1" + ], + "㹤": [ + "ㄑㄧㄝ4" + ], + "㹥": [ + "ㄓㄨ4" + ], + "㹦": [ + "ㄉㄧㄠ1" + ], + "㹨": [ + "ㄧㄡ4" + ], + "㹫": [ + "ㄧ2" + ], + "㹬": [ + "ㄕ3" + ], + "㹭": [ + "ㄧ4" + ], + "㹮": [ + "ㄇㄛ4" + ], + "㹱": [ + "ㄑㄩㄝ4" + ], + "㹲": [ + "ㄒㄧㄠ1", + "ㄒㄧㄠ4" + ], + "㹳": [ + "ㄨ2" + ], + "㹴": [ + "ㄍㄥ1" + ], + "㹵": [ + "ㄧㄥ3" + ], + "㹶": [ + "ㄊㄧㄥ2" + ], + "㹷": [ + "ㄕ3" + ], + "㹸": [ + "ㄋㄧ2" + ], + "㹹": [ + "ㄍㄥ1" + ], + "㹺": [ + "ㄊㄚ4" + ], + "㹻": [ + "ㄨㄛ1", + "ㄨㄟ1" + ], + "㹼": [ + "ㄐㄩ2" + ], + "㹽": [ + "ㄔㄢ3" + ], + "㹾": [ + "ㄆㄧㄠ3", + "ㄐㄧㄠ4" + ], + "㹿": [ + "ㄓㄨㄛ2", + "ㄓㄠ4" + ], + "㺀": [ + "ㄏㄨ1", + "ㄋㄠ2" + ], + "㺁": [ + "ㄋㄠ3" + ], + "㺂": [ + "ㄧㄢ2", + "ㄍㄢ3" + ], + "㺃": [ + "ㄍㄡ3" + ], + "㺄": [ + "ㄩ3", + "ㄩ2" + ], + "㺅": [ + "ㄏㄡ2" + ], + "㺇": [ + "ㄙ1" + ], + "㺈": [ + "ㄔ1" + ], + "㺉": [ + "ㄏㄨ4" + ], + "㺊": [ + "ㄧㄤ4" + ], + "㺋": [ + "ㄨㄥ1" + ], + "㺌": [ + "ㄒㄧㄢ4" + ], + "㺍": [ + "ㄆㄧㄣ2" + ], + "㺎": [ + "ㄖㄨㄥ2" + ], + "㺏": [ + "ㄌㄡ2" + ], + "㺐": [ + "ㄌㄠ3", + "ㄙㄠ1" + ], + "㺑": [ + "ㄕㄢ1", + "ㄕㄢ4", + "ㄙㄠ1", + "ㄕㄢ3" + ], + "㺒": [ + "ㄒㄧㄠ1", + "ㄋㄠ3", + "ㄑㄧㄠ1", + "ㄒㄧㄠ4" + ], + "㺓": [ + "ㄗㄜ2" + ], + "㺔": [ + "ㄏㄞ4", + "ㄏㄨㄟ1" + ], + "㺕": [ + "ㄈㄢ2", + "ㄅㄧㄢ4" + ], + "㺖": [ + "ㄏㄢ3" + ], + "㺗": [ + "ㄔㄢ1" + ], + "㺘": [ + "ㄓㄢ4" + ], + "㺚": [ + "ㄊㄚ3" + ], + "㺛": [ + "ㄓㄨ4" + ], + "㺜": [ + "ㄋㄨㄥ2" + ], + "㺝": [ + "ㄏㄢ4" + ], + "㺞": [ + "ㄩ2" + ], + "㺟": [ + "ㄓㄨㄛ2" + ], + "㺠": [ + "ㄧㄡ4" + ], + "㺡": [ + "ㄌㄧ4" + ], + "㺢": [ + "ㄏㄨㄛ4", + "ㄏㄨㄛ1" + ], + "㺣": [ + "ㄒㄧ1" + ], + "㺤": [ + "ㄒㄧㄢ1" + ], + "㺥": [ + "ㄔㄢ2" + ], + "㺦": [ + "ㄌㄧㄢ2" + ], + "㺨": [ + "ㄙ1" + ], + "㺩": [ + "ㄐㄧㄡ4", + "ㄑㄧㄡ2" + ], + "㺪": [ + "ㄆㄨ2" + ], + "㺫": [ + "ㄑㄧㄡ2" + ], + "㺬": [ + "ㄍㄨㄥ3" + ], + "㺭": [ + "ㄗ3" + ], + "㺮": [ + "ㄩ2" + ], + "㺱": [ + "ㄖㄥ2" + ], + "㺲": [ + "ㄋㄧㄡ3" + ], + "㺳": [ + "ㄇㄟ2" + ], + "㺴": [ + "ㄅㄚ1" + ], + "㺵": [ + "ㄐㄧㄡ2" + ], + "㺷": [ + "ㄒㄩ4" + ], + "㺸": [ + "ㄆㄧㄥ2" + ], + "㺹": [ + "ㄅㄧㄢ4" + ], + "㺺": [ + "ㄇㄠ4" + ], + "㺿": [ + "ㄧ2" + ], + "㻀": [ + "ㄩ2" + ], + "㻂": [ + "ㄆㄧㄥ2" + ], + "㻃": [ + "ㄑㄩ1" + ], + "㻄": [ + "ㄅㄠ3" + ], + "㻅": [ + "ㄏㄨㄟ4" + ], + "㻉": [ + "ㄅㄨ4" + ], + "㻊": [ + "ㄇㄤ2" + ], + "㻋": [ + "ㄌㄚ4" + ], + "㻌": [ + "ㄊㄨ2" + ], + "㻍": [ + "ㄨ2" + ], + "㻎": [ + "ㄌㄧ4" + ], + "㻏": [ + "ㄌㄧㄥ2" + ], + "㻑": [ + "ㄐㄧ4" + ], + "㻒": [ + "ㄐㄩㄣ4" + ], + "㻓": [ + "ㄗㄡ1" + ], + "㻔": [ + "ㄉㄨㄛ3" + ], + "㻕": [ + "ㄐㄩㄝ2" + ], + "㻖": [ + "ㄉㄞ4" + ], + "㻗": [ + "ㄅㄟ4" + ], + "㻝": [ + "ㄌㄚ4" + ], + "㻞": [ + "ㄅㄧㄣ1", + "ㄅㄢ1" + ], + "㻟": [ + "ㄙㄨㄟ2" + ], + "㻠": [ + "ㄊㄨ2" + ], + "㻡": [ + "ㄒㄩㄝ1", + "ㄉㄧㄝ2" + ], + "㻧": [ + "ㄉㄨㄛ4" + ], + "㻪": [ + "ㄙㄨㄟ4" + ], + "㻫": [ + "ㄅㄧ4" + ], + "㻬": [ + "ㄊㄨ1" + ], + "㻭": [ + "ㄙㄜ4" + ], + "㻮": [ + "ㄘㄢ4" + ], + "㻯": [ + "ㄊㄨ2" + ], + "㻰": [ + "ㄇㄧㄢ3" + ], + "㻱": [ + "ㄐㄧㄣ1" + ], + "㻲": [ + "ㄌㄩ3" + ], + "㻵": [ + "ㄓㄢ4" + ], + "㻶": [ + "ㄅㄧ3" + ], + "㻷": [ + "ㄐㄧ2" + ], + "㻸": [ + "ㄗㄣ1" + ], + "㻹": [ + "ㄒㄩㄢ1" + ], + "㻺": [ + "ㄌㄧ4" + ], + "㻽": [ + "ㄙㄨㄟ4", + "ㄒㄩㄢ2" + ], + "㻾": [ + "ㄩㄥ1" + ], + "㻿": [ + "ㄕㄨ3" + ], + "㼂": [ + "ㄜ2" + ], + "㼇": [ + "ㄑㄩㄥ2" + ], + "㼈": [ + "ㄌㄨㄛ2" + ], + "㼉": [ + "ㄓㄣ4" + ], + "㼊": [ + "ㄊㄨㄣ2" + ], + "㼋": [ + "ㄍㄨ1", + "ㄖㄨ3" + ], + "㼌": [ + "ㄩ3" + ], + "㼍": [ + "ㄌㄟ3" + ], + "㼎": [ + "ㄅㄛ2" + ], + "㼏": [ + "ㄋㄟ3" + ], + "㼐": [ + "ㄆㄧㄢ2" + ], + "㼑": [ + "ㄌㄧㄢ4" + ], + "㼒": [ + "ㄊㄤ3" + ], + "㼓": [ + "ㄌㄧㄢ2" + ], + "㼔": [ + "ㄨㄣ1" + ], + "㼕": [ + "ㄉㄤ1" + ], + "㼖": [ + "ㄌㄧ4" + ], + "㼗": [ + "ㄊㄧㄥ2" + ], + "㼘": [ + "ㄨㄚ3" + ], + "㼙": [ + "ㄓㄡ4" + ], + "㼚": [ + "ㄍㄤ1" + ], + "㼛": [ + "ㄒㄧㄥ2" + ], + "㼜": [ + "ㄤ4" + ], + "㼝": [ + "ㄈㄢ4" + ], + "㼞": [ + "ㄆㄥ4", + "ㄅㄥ4" + ], + "㼟": [ + "ㄅㄛ2" + ], + "㼠": [ + "ㄊㄨㄛ2" + ], + "㼡": [ + "ㄕㄨ1" + ], + "㼢": [ + "ㄧ2" + ], + "㼣": [ + "ㄅㄛ2" + ], + "㼤": [ + "ㄑㄧㄝ4" + ], + "㼥": [ + "ㄊㄡ3", + "ㄎㄠ3" + ], + "㼦": [ + "ㄍㄨㄥ3" + ], + "㼧": [ + "ㄊㄨㄥ2" + ], + "㼨": [ + "ㄏㄢ2" + ], + "㼩": [ + "ㄔㄥ2", + "ㄕㄥ4" + ], + "㼪": [ + "ㄐㄧㄝ2" + ], + "㼫": [ + "ㄏㄨㄢ4", + "ㄏㄨㄚ4" + ], + "㼬": [ + "ㄒㄧㄥ4" + ], + "㼭": [ + "ㄉㄧㄢ4" + ], + "㼮": [ + "ㄔㄞ1", + "ㄑㄧ4" + ], + "㼯": [ + "ㄉㄨㄥ4" + ], + "㼰": [ + "ㄆㄧ2" + ], + "㼱": [ + "ㄖㄨㄢ3", + "ㄐㄩㄣ4" + ], + "㼲": [ + "ㄌㄧㄝ4" + ], + "㼳": [ + "ㄕㄥ3" + ], + "㼴": [ + "ㄡ3" + ], + "㼵": [ + "ㄉㄧ4" + ], + "㼶": [ + "ㄩ2" + ], + "㼷": [ + "ㄔㄨㄢ2", + "ㄓㄨㄢ1" + ], + "㼸": [ + "ㄖㄨㄥ2" + ], + "㼹": [ + "ㄎㄤ1", + "ㄏㄨㄤ1" + ], + "㼺": [ + "ㄊㄤ2" + ], + "㼻": [ + "ㄘㄨㄥ2" + ], + "㼼": [ + "ㄆㄧㄠ2" + ], + "㼽": [ + "ㄔㄨㄤ3", + "ㄕㄨㄤ3" + ], + "㼾": [ + "ㄌㄨ4" + ], + "㼿": [ + "ㄊㄨㄥ2", + "ㄓㄨㄥ4" + ], + "㽀": [ + "ㄓㄥ4" + ], + "㽁": [ + "ㄌㄧ4" + ], + "㽂": [ + "ㄙㄚ4" + ], + "㽃": [ + "ㄆㄢ1" + ], + "㽄": [ + "ㄙ1" + ], + "㽆": [ + "ㄉㄤ1" + ], + "㽇": [ + "ㄏㄨ2" + ], + "㽈": [ + "ㄧ4" + ], + "㽉": [ + "ㄒㄧㄢ4" + ], + "㽊": [ + "ㄒㄧㄝ4" + ], + "㽋": [ + "ㄌㄨㄛ2" + ], + "㽌": [ + "ㄌㄧㄡ4" + ], + "㽎": [ + "ㄊㄢ2", + "ㄒㄧㄣ1" + ], + "㽏": [ + "ㄍㄢ4" + ], + "㽑": [ + "ㄊㄢ2" + ], + "㽕": [ + "ㄧㄡ2" + ], + "㽖": [ + "ㄋㄢ2" + ], + "㽘": [ + "ㄍㄤ3" + ], + "㽙": [ + "ㄐㄩㄣ4" + ], + "㽚": [ + "ㄔ4" + ], + "㽛": [ + "ㄍㄡ1", + "ㄑㄩ2" + ], + "㽜": [ + "ㄨㄢ3" + ], + "㽝": [ + "ㄌㄧ4" + ], + "㽞": [ + "ㄌㄧㄡ2" + ], + "㽟": [ + "ㄌㄧㄝ4" + ], + "㽠": [ + "ㄒㄧㄚ2" + ], + "㽡": [ + "ㄅㄟ1" + ], + "㽢": [ + "ㄢ3" + ], + "㽣": [ + "ㄩ4" + ], + "㽤": [ + "ㄐㄩ2" + ], + "㽥": [ + "ㄖㄡ2" + ], + "㽦": [ + "ㄒㄩㄣ2" + ], + "㽧": [ + "ㄗ1" + ], + "㽨": [ + "ㄘㄨㄛ2" + ], + "㽩": [ + "ㄘㄢ4" + ], + "㽪": [ + "ㄗㄥ3" + ], + "㽫": [ + "ㄩㄥ1" + ], + "㽬": [ + "ㄈㄨ4", + "ㄆㄧ4" + ], + "㽭": [ + "ㄖㄨㄢ3" + ], + "㽯": [ + "ㄒㄧ2" + ], + "㽰": [ + "ㄕㄨ4" + ], + "㽱": [ + "ㄐㄧㄠ3", + "ㄐㄧㄡ1", + "ㄋㄧㄡ2" + ], + "㽲": [ + "ㄐㄧㄠ3", + "ㄒㄧㄡ3" + ], + "㽳": [ + "ㄒㄩ1" + ], + "㽴": [ + "ㄓㄤ4" + ], + "㽷": [ + "ㄕㄨㄟ4" + ], + "㽸": [ + "ㄔㄣ2" + ], + "㽹": [ + "ㄈㄢ3", + "ㄈㄢ4" + ], + "㽺": [ + "ㄐㄧ2" + ], + "㽻": [ + "ㄓ1" + ], + "㽽": [ + "ㄍㄨ4" + ], + "㽾": [ + "ㄨ4" + ], + "㾀": [ + "ㄑㄧㄝ4", + "ㄑㄩ3" + ], + "㾁": [ + "ㄕㄨ4" + ], + "㾂": [ + "ㄏㄞ1" + ], + "㾃": [ + "ㄊㄨㄛ2" + ], + "㾄": [ + "ㄉㄨ2", + "ㄔㄡ2" + ], + "㾅": [ + "ㄗ3" + ], + "㾆": [ + "ㄖㄢ2" + ], + "㾇": [ + "ㄇㄨ4" + ], + "㾈": [ + "ㄈㄨ4" + ], + "㾉": [ + "ㄌㄧㄥ2" + ], + "㾊": [ + "ㄐㄧ2", + "ㄘ4", + "ㄙㄜ4" + ], + "㾋": [ + "ㄒㄧㄡ1", + "ㄒㄧㄡ4" + ], + "㾌": [ + "ㄒㄩㄢ3" + ], + "㾍": [ + "ㄋㄞ2" + ], + "㾎": [ + "ㄧㄚ1", + "ㄒㄧㄚ1" + ], + "㾏": [ + "ㄐㄧㄝ4", + "ㄧㄚ2" + ], + "㾐": [ + "ㄌㄧ4" + ], + "㾑": [ + "ㄉㄚ2", + "ㄏㄜ4", + "ㄉㄚ5" + ], + "㾒": [ + "ㄖㄨ2", + "ㄖㄨ4" + ], + "㾓": [ + "ㄩㄢ1" + ], + "㾔": [ + "ㄌㄩ3" + ], + "㾕": [ + "ㄕㄣ3" + ], + "㾖": [ + "ㄌㄧ3" + ], + "㾗": [ + "ㄌㄧㄤ4" + ], + "㾘": [ + "ㄍㄥ3" + ], + "㾙": [ + "ㄒㄧㄣ4", + "ㄒㄧ4" + ], + "㾚": [ + "ㄒㄧㄝ1" + ], + "㾛": [ + "ㄑㄧㄣ3" + ], + "㾜": [ + "ㄑㄧㄝ4" + ], + "㾝": [ + "ㄔㄜ4" + ], + "㾞": [ + "ㄧㄡ2" + ], + "㾟": [ + "ㄅㄨ4" + ], + "㾠": [ + "ㄎㄨㄤ2" + ], + "㾡": [ + "ㄑㄩㄝ4" + ], + "㾢": [ + "ㄞ4" + ], + "㾣": [ + "ㄑㄧㄣ1" + ], + "㾤": [ + "ㄑㄧㄤ1" + ], + "㾥": [ + "ㄔㄨ4" + ], + "㾦": [ + "ㄆㄟ4", + "ㄆㄟ1" + ], + "㾧": [ + "ㄎㄨㄛ4", + "ㄌㄨㄛ3" + ], + "㾨": [ + "ㄧ1", + "ㄑㄧ3", + "ㄞ3" + ], + "㾩": [ + "ㄍㄨㄞ1" + ], + "㾪": [ + "ㄕㄥ3" + ], + "㾫": [ + "ㄆㄧㄢ1" + ], + "㾭": [ + "ㄓㄡ4" + ], + "㾮": [ + "ㄏㄨㄤ2" + ], + "㾯": [ + "ㄏㄨㄟ1", + "ㄊㄨㄟ2" + ], + "㾰": [ + "ㄏㄨ2" + ], + "㾱": [ + "ㄅㄟ4" + ], + "㾴": [ + "ㄓㄚ1" + ], + "㾵": [ + "ㄐㄧ4" + ], + "㾶": [ + "ㄍㄨ3" + ], + "㾷": [ + "ㄒㄧ1" + ], + "㾸": [ + "ㄍㄠ3" + ], + "㾹": [ + "ㄔㄞ2", + "ㄓㄞ4", + "ㄔ2" + ], + "㾺": [ + "ㄇㄚ4" + ], + "㾻": [ + "ㄓㄨ4", + "ㄔㄨ2" + ], + "㾼": [ + "ㄊㄨㄟ3" + ], + "㾽": [ + "ㄓㄨㄟ4", + "ㄊㄨㄟ2" + ], + "㾾": [ + "ㄒㄧㄢ1", + "ㄌㄧㄢ2" + ], + "㾿": [ + "ㄌㄤ2" + ], + "㿃": [ + "ㄓ4", + "ㄉㄞ4" + ], + "㿄": [ + "ㄞ4" + ], + "㿅": [ + "ㄒㄧㄢ3" + ], + "㿆": [ + "ㄍㄨㄛ1" + ], + "㿇": [ + "ㄒㄧ2", + "ㄒㄧ4" + ], + "㿉": [ + "ㄊㄨㄟ3" + ], + "㿊": [ + "ㄘㄢ3" + ], + "㿋": [ + "ㄙㄠ4" + ], + "㿌": [ + "ㄒㄧㄢ1" + ], + "㿍": [ + "ㄐㄧㄝ4" + ], + "㿎": [ + "ㄈㄣ4", + "ㄈㄣ2" + ], + "㿏": [ + "ㄑㄩㄣ2" + ], + "㿑": [ + "ㄧㄠ4" + ], + "㿒": [ + "ㄉㄠ3", + "ㄓㄡ4", + "ㄔㄡ2" + ], + "㿓": [ + "ㄐㄧㄚ2" + ], + "㿔": [ + "ㄌㄟ3" + ], + "㿕": [ + "ㄧㄢ2" + ], + "㿖": [ + "ㄌㄨ2", + "ㄌㄨ4" + ], + "㿗": [ + "ㄊㄨㄟ2" + ], + "㿘": [ + "ㄧㄥ2" + ], + "㿙": [ + "ㄆㄧ4" + ], + "㿚": [ + "ㄌㄨㄛ4" + ], + "㿛": [ + "ㄌㄧ4" + ], + "㿜": [ + "ㄅㄧㄝ3" + ], + "㿞": [ + "ㄇㄠ4" + ], + "㿟": [ + "ㄅㄞ2" + ], + "㿠": [ + "ㄏㄨㄤ4" + ], + "㿢": [ + "ㄧㄠ4" + ], + "㿣": [ + "ㄏㄜ1" + ], + "㿤": [ + "ㄔㄨㄣ3" + ], + "㿥": [ + "ㄏㄜ2" + ], + "㿦": [ + "ㄋㄧㄥ4" + ], + "㿧": [ + "ㄔㄡ2" + ], + "㿨": [ + "ㄌㄧ4" + ], + "㿩": [ + "ㄊㄤ3" + ], + "㿪": [ + "ㄏㄨㄢ2" + ], + "㿫": [ + "ㄅㄧ4" + ], + "㿬": [ + "ㄅㄚ1" + ], + "㿭": [ + "ㄔㄜ4", + "ㄌㄜ4" + ], + "㿮": [ + "ㄧㄤ4" + ], + "㿯": [ + "ㄉㄚ2" + ], + "㿰": [ + "ㄠ2", + "ㄅㄧ4" + ], + "㿱": [ + "ㄒㄩㄝ2" + ], + "㿳": [ + "ㄗ1" + ], + "㿴": [ + "ㄉㄚ1" + ], + "㿵": [ + "ㄖㄢ3" + ], + "㿶": [ + "ㄅㄤ1" + ], + "㿷": [ + "ㄘㄨㄛ2", + "ㄘㄠ1" + ], + "㿸": [ + "ㄨㄢ3", + "ㄇㄢ2" + ], + "㿹": [ + "ㄊㄚ4" + ], + "㿺": [ + "ㄅㄠ2" + ], + "㿻": [ + "ㄍㄢ1" + ], + "㿼": [ + "ㄧㄢ2" + ], + "㿽": [ + "ㄒㄧ1" + ], + "㿾": [ + "ㄓㄨ4" + ], + "㿿": [ + "ㄧㄚ3" + ], + "䀀": [ + "ㄈㄢ4" + ], + "䀁": [ + "ㄧㄡ4" + ], + "䀂": [ + "ㄢ1" + ], + "䀃": [ + "ㄊㄨㄟ2" + ], + "䀄": [ + "ㄇㄥ2" + ], + "䀅": [ + "ㄕㄜ4" + ], + "䀆": [ + "ㄐㄧㄣ4" + ], + "䀇": [ + "ㄍㄨ3" + ], + "䀈": [ + "ㄐㄧ4" + ], + "䀉": [ + "ㄑㄧㄠ2" + ], + "䀊": [ + "ㄐㄧㄠ3" + ], + "䀋": [ + "ㄧㄢ2" + ], + "䀌": [ + "ㄒㄧ4" + ], + "䀍": [ + "ㄎㄢ4" + ], + "䀎": [ + "ㄇㄧㄢ3" + ], + "䀏": [ + "ㄒㄩㄢ4", + "ㄒㄩㄣ2" + ], + "䀐": [ + "ㄕㄢ1" + ], + "䀑": [ + "ㄨㄛ4" + ], + "䀒": [ + "ㄑㄧㄢ1" + ], + "䀓": [ + "ㄏㄨㄢ4" + ], + "䀔": [ + "ㄖㄣ4" + ], + "䀕": [ + "ㄓㄣ4" + ], + "䀖": [ + "ㄊㄧㄢ1" + ], + "䀗": [ + "ㄐㄩㄝ2", + "ㄒㄩㄝ4" + ], + "䀘": [ + "ㄒㄧㄝ2", + "ㄐㄧ1" + ], + "䀙": [ + "ㄑㄧ4" + ], + "䀚": [ + "ㄤ2" + ], + "䀛": [ + "ㄇㄟ4", + "ㄨ4", + "ㄇㄚ4" + ], + "䀜": [ + "ㄍㄨ3" + ], + "䀞": [ + "ㄊㄠ1" + ], + "䀟": [ + "ㄈㄢ2" + ], + "䀠": [ + "ㄐㄩ4" + ], + "䀡": [ + "ㄔㄢ4", + "ㄉㄧㄢ1", + "ㄊㄢ4" + ], + "䀢": [ + "ㄕㄨㄣ4" + ], + "䀣": [ + "ㄅㄧ4", + "ㄇㄚ4" + ], + "䀤": [ + "ㄇㄠ4" + ], + "䀥": [ + "ㄕㄨㄛ4" + ], + "䀦": [ + "ㄍㄨ3" + ], + "䀧": [ + "ㄏㄨㄥ3" + ], + "䀨": [ + "ㄏㄨㄚ4", + "ㄍㄨㄚ1" + ], + "䀩": [ + "ㄌㄨㄛ4" + ], + "䀪": [ + "ㄏㄤ2" + ], + "䀫": [ + "ㄐㄧㄚ2", + "ㄊㄨㄣ3" + ], + "䀬": [ + "ㄑㄩㄢ2" + ], + "䀭": [ + "ㄍㄞ1" + ], + "䀮": [ + "ㄏㄨㄤ1" + ], + "䀯": [ + "ㄅㄨ3" + ], + "䀰": [ + "ㄍㄨ3" + ], + "䀱": [ + "ㄈㄥ1" + ], + "䀲": [ + "ㄇㄨ4" + ], + "䀳": [ + "ㄞ4" + ], + "䀴": [ + "ㄧㄥ3", + "ㄧㄚ4", + "ㄎㄥ1" + ], + "䀵": [ + "ㄕㄨㄣ4" + ], + "䀶": [ + "ㄌㄧㄤ4", + "ㄌㄤ3" + ], + "䀷": [ + "ㄐㄧㄝ2" + ], + "䀸": [ + "ㄔ4" + ], + "䀹": [ + "ㄐㄧㄝ2", + "ㄓㄚ3", + "ㄕㄜ4", + "ㄐㄧㄚ2", + "ㄧㄚ4" + ], + "䀺": [ + "ㄔㄡ1", + "ㄊㄠ1" + ], + "䀻": [ + "ㄆㄧㄥ4" + ], + "䀼": [ + "ㄔㄣ1", + "ㄖㄣ4" + ], + "䀽": [ + "ㄧㄢ2" + ], + "䀾": [ + "ㄉㄨ3" + ], + "䀿": [ + "ㄉㄧ4" + ], + "䁁": [ + "ㄌㄧㄤ4" + ], + "䁂": [ + "ㄒㄧㄢ4" + ], + "䁃": [ + "ㄅㄧㄠ1" + ], + "䁄": [ + "ㄒㄧㄥ4" + ], + "䁅": [ + "ㄇㄥ3", + "ㄇㄥ4" + ], + "䁆": [ + "ㄧㄝ4" + ], + "䁇": [ + "ㄇㄧ4" + ], + "䁈": [ + "ㄑㄧ4" + ], + "䁉": [ + "ㄑㄧ4" + ], + "䁊": [ + "ㄨㄛ4" + ], + "䁋": [ + "ㄒㄧㄝ4", + "ㄓㄜ2" + ], + "䁌": [ + "ㄩ4" + ], + "䁍": [ + "ㄑㄧㄚ4", + "ㄎㄢ1" + ], + "䁎": [ + "ㄔㄥ2", + "ㄊㄧㄥ2", + "ㄔㄥ1" + ], + "䁏": [ + "ㄧㄠ3" + ], + "䁐": [ + "ㄧㄥ1", + "ㄧㄥ4" + ], + "䁑": [ + "ㄧㄤ2" + ], + "䁒": [ + "ㄐㄧ2", + "ㄗ2" + ], + "䁓": [ + "ㄗㄨㄥ1", + "ㄗㄨㄥ3", + "ㄐㄧㄝ4" + ], + "䁔": [ + "ㄒㄩㄢ1", + "ㄏㄢ4" + ], + "䁕": [ + "ㄇㄧㄣ2" + ], + "䁖": [ + "ㄌㄡ1" + ], + "䁗": [ + "ㄎㄞ3" + ], + "䁘": [ + "ㄧㄠ3" + ], + "䁙": [ + "ㄧㄢ3" + ], + "䁚": [ + "ㄙㄨㄣ3", + "ㄑㄩㄥ2" + ], + "䁛": [ + "ㄍㄨㄟ4" + ], + "䁜": [ + "ㄏㄨㄤ4", + "ㄏㄨㄤ3" + ], + "䁝": [ + "ㄧㄥ2", + "ㄧㄥ3" + ], + "䁞": [ + "ㄕㄥ3" + ], + "䁟": [ + "ㄔㄚ2" + ], + "䁠": [ + "ㄌㄧㄢ2" + ], + "䁢": [ + "ㄒㄩㄢ2" + ], + "䁣": [ + "ㄔㄨㄢ2" + ], + "䁤": [ + "ㄔㄜ4", + "ㄓㄜ2", + "ㄏㄨㄟ3" + ], + "䁥": [ + "ㄋㄧ4" + ], + "䁦": [ + "ㄑㄩ4" + ], + "䁧": [ + "ㄇㄧㄠ2" + ], + "䁨": [ + "ㄏㄨㄛ4" + ], + "䁩": [ + "ㄩ2" + ], + "䁪": [ + "ㄓㄢ3" + ], + "䁫": [ + "ㄏㄨ2", + "ㄇㄥ2" + ], + "䁬": [ + "ㄘㄥ2" + ], + "䁭": [ + "ㄅㄧㄠ1" + ], + "䁮": [ + "ㄑㄧㄢ2" + ], + "䁯": [ + "ㄒㄧ1", + "ㄒㄧㄝ2" + ], + "䁰": [ + "ㄐㄧㄤ3" + ], + "䁱": [ + "ㄎㄡ1" + ], + "䁲": [ + "ㄇㄞ2" + ], + "䁳": [ + "ㄇㄤ3" + ], + "䁴": [ + "ㄓㄢ3", + "ㄕㄢ3" + ], + "䁵": [ + "ㄅㄧㄢ3", + "ㄏㄨㄢ2" + ], + "䁶": [ + "ㄐㄧ1", + "ㄐㄧㄠ3" + ], + "䁷": [ + "ㄐㄩㄝ2", + "ㄨ4" + ], + "䁸": [ + "ㄋㄤ2", + "ㄋㄨㄥ3" + ], + "䁹": [ + "ㄅㄧ4" + ], + "䁺": [ + "ㄕ4", + "ㄧ4" + ], + "䁻": [ + "ㄕㄨㄛ4", + "ㄌㄧ4" + ], + "䁼": [ + "ㄇㄛ4" + ], + "䁽": [ + "ㄌㄧㄝ4" + ], + "䁾": [ + "ㄇㄧㄝ4" + ], + "䁿": [ + "ㄇㄛ4" + ], + "䂀": [ + "ㄒㄧ1" + ], + "䂁": [ + "ㄔㄢ2" + ], + "䂂": [ + "ㄑㄩ2" + ], + "䂃": [ + "ㄐㄧㄠ4" + ], + "䂄": [ + "ㄏㄨㄛ4" + ], + "䂅": [ + "ㄒㄧㄢ1" + ], + "䂆": [ + "ㄒㄩ4" + ], + "䂇": [ + "ㄋㄧㄡ3" + ], + "䂈": [ + "ㄊㄨㄥ2" + ], + "䂉": [ + "ㄏㄡ2" + ], + "䂊": [ + "ㄩ4" + ], + "䂌": [ + "ㄔㄨㄥ1" + ], + "䂍": [ + "ㄅㄛ2" + ], + "䂎": [ + "ㄗㄨㄢ3", + "ㄘㄨㄢ1" + ], + "䂏": [ + "ㄉㄧㄠ1" + ], + "䂐": [ + "ㄓㄨㄛ1" + ], + "䂑": [ + "ㄐㄧ1" + ], + "䂒": [ + "ㄑㄧㄚ4" + ], + "䂔": [ + "ㄒㄧㄥ4" + ], + "䂕": [ + "ㄏㄨㄟ4" + ], + "䂖": [ + "ㄕ2" + ], + "䂗": [ + "ㄎㄨ1" + ], + "䂙": [ + "ㄉㄨㄟ1" + ], + "䂚": [ + "ㄧㄠ2" + ], + "䂛": [ + "ㄩ2" + ], + "䂜": [ + "ㄅㄤ4" + ], + "䂝": [ + "ㄐㄧㄝ2" + ], + "䂞": [ + "ㄓㄜ4" + ], + "䂟": [ + "ㄐㄧㄚ1" + ], + "䂠": [ + "ㄕ3" + ], + "䂡": [ + "ㄉㄧ3" + ], + "䂢": [ + "ㄉㄨㄥ3" + ], + "䂣": [ + "ㄘ2" + ], + "䂤": [ + "ㄈㄨ4" + ], + "䂥": [ + "ㄇㄧㄣ2" + ], + "䂦": [ + "ㄓㄣ1", + "ㄓㄣ3" + ], + "䂧": [ + "ㄓㄣ3" + ], + "䂩": [ + "ㄧㄢ4", + "ㄑㄧㄥ4" + ], + "䂪": [ + "ㄑㄧㄠ3", + "ㄉㄧㄠ4" + ], + "䂫": [ + "ㄏㄤ1", + "ㄏㄨㄥ2" + ], + "䂬": [ + "ㄍㄨㄥ3" + ], + "䂭": [ + "ㄑㄧㄠ1" + ], + "䂮": [ + "ㄌㄩㄝ4" + ], + "䂯": [ + "ㄍㄨㄞ4" + ], + "䂰": [ + "ㄌㄚ4" + ], + "䂱": [ + "ㄖㄨㄟ4" + ], + "䂲": [ + "ㄈㄚ3" + ], + "䂳": [ + "ㄘㄨㄛ3", + "ㄔㄚ3" + ], + "䂴": [ + "ㄧㄢ2" + ], + "䂵": [ + "ㄍㄨㄥ1" + ], + "䂶": [ + "ㄐㄧㄝ2" + ], + "䂷": [ + "ㄍㄨㄞ1" + ], + "䂸": [ + "ㄍㄨㄛ2" + ], + "䂹": [ + "ㄙㄨㄛ3" + ], + "䂺": [ + "ㄨㄛ3", + "ㄎㄜ1" + ], + "䂻": [ + "ㄓㄥ4" + ], + "䂼": [ + "ㄋㄧㄝ4" + ], + "䂽": [ + "ㄉㄧㄠ4" + ], + "䂾": [ + "ㄌㄞ3" + ], + "䂿": [ + "ㄊㄚ4" + ], + "䃀": [ + "ㄘㄨㄟ4" + ], + "䃁": [ + "ㄧㄚ1" + ], + "䃂": [ + "ㄍㄨㄣ3" + ], + "䃅": [ + "ㄉㄧ1" + ], + "䃇": [ + "ㄇㄧㄢ2" + ], + "䃈": [ + "ㄐㄧㄝ1" + ], + "䃉": [ + "ㄇㄧㄣ2" + ], + "䃊": [ + "ㄐㄩ3" + ], + "䃋": [ + "ㄩ2" + ], + "䃌": [ + "ㄓㄣ1", + "ㄧㄣ1" + ], + "䃍": [ + "ㄓㄠ4" + ], + "䃎": [ + "ㄓㄚ4", + "ㄓㄚ3" + ], + "䃏": [ + "ㄒㄧㄥ1" + ], + "䃑": [ + "ㄅㄢ1", + "ㄆㄢ2" + ], + "䃒": [ + "ㄏㄜ2" + ], + "䃓": [ + "ㄍㄡ4", + "ㄍㄡ1" + ], + "䃔": [ + "ㄏㄨㄥ2", + "ㄑㄩㄥ2" + ], + "䃕": [ + "ㄌㄠ2", + "ㄌㄨㄛ4" + ], + "䃖": [ + "ㄨ4" + ], + "䃗": [ + "ㄅㄛ1", + "ㄓㄨㄛ2" + ], + "䃘": [ + "ㄎㄥ1" + ], + "䃙": [ + "ㄌㄨ4" + ], + "䃚": [ + "ㄘㄨ4", + "ㄗㄨ2" + ], + "䃛": [ + "ㄌㄧㄢ2" + ], + "䃜": [ + "ㄧ1" + ], + "䃝": [ + "ㄑㄧㄠ4" + ], + "䃞": [ + "ㄕㄨ2" + ], + "䃠": [ + "ㄒㄩㄢ4" + ], + "䃡": [ + "ㄐㄧㄣ1", + "ㄑㄧㄣ2" + ], + "䃢": [ + "ㄑㄧㄣ1" + ], + "䃣": [ + "ㄏㄨㄟ3" + ], + "䃤": [ + "ㄙㄨ4" + ], + "䃥": [ + "ㄔㄨㄤ2" + ], + "䃦": [ + "ㄉㄨㄣ1" + ], + "䃧": [ + "ㄌㄨㄥ2" + ], + "䃩": [ + "ㄋㄠ2" + ], + "䃪": [ + "ㄊㄢ2" + ], + "䃫": [ + "ㄉㄢ3" + ], + "䃬": [ + "ㄨㄟ3", + "ㄎㄨㄟ3", + "ㄌㄟ3" + ], + "䃭": [ + "ㄍㄢ3" + ], + "䃮": [ + "ㄉㄚ2" + ], + "䃯": [ + "ㄌㄧ4" + ], + "䃰": [ + "ㄘㄚ1" + ], + "䃱": [ + "ㄒㄧㄢ4" + ], + "䃲": [ + "ㄆㄢ2" + ], + "䃳": [ + "ㄌㄚ4", + "ㄌㄧㄝ4" + ], + "䃴": [ + "ㄓㄨ1" + ], + "䃵": [ + "ㄋㄧㄠ3" + ], + "䃶": [ + "ㄏㄨㄞ2", + "ㄍㄨㄟ1", + "ㄍㄨㄞ4" + ], + "䃷": [ + "ㄧㄥ2" + ], + "䃸": [ + "ㄒㄧㄢ4", + "ㄐㄧㄣ1" + ], + "䃹": [ + "ㄌㄢ4" + ], + "䃺": [ + "ㄇㄛ2" + ], + "䃻": [ + "ㄅㄚ4" + ], + "䃽": [ + "ㄍㄨㄟ3", + "ㄓ1", + "ㄈㄨ2" + ], + "䃾": [ + "ㄅㄧ3" + ], + "䃿": [ + "ㄈㄨ1" + ], + "䄀": [ + "ㄏㄨㄛ4" + ], + "䄁": [ + "ㄧ4" + ], + "䄂": [ + "ㄌㄧㄡ4" + ], + "䄃": [ + "ㄧㄤ1" + ], + "䄄": [ + "ㄧㄣ1" + ], + "䄅": [ + "ㄐㄩㄢ4" + ], + "䄆": [ + "ㄏㄨㄛ2", + "ㄏㄨㄢ4" + ], + "䄇": [ + "ㄔㄥ2" + ], + "䄈": [ + "ㄉㄡ4", + "ㄒㄧㄤ2" + ], + "䄉": [ + "ㄜ2" + ], + "䄋": [ + "ㄧㄢ3", + "ㄧㄢ4" + ], + "䄌": [ + "ㄓㄨㄟ4", + "ㄔㄨㄛ4" + ], + "䄍": [ + "ㄓㄚ4" + ], + "䄎": [ + "ㄑㄧ3" + ], + "䄏": [ + "ㄩ2" + ], + "䄐": [ + "ㄑㄩㄢ4" + ], + "䄑": [ + "ㄏㄨㄛ2" + ], + "䄒": [ + "ㄋㄧㄝ4" + ], + "䄓": [ + "ㄏㄨㄤ2" + ], + "䄔": [ + "ㄐㄩ3" + ], + "䄕": [ + "ㄕㄜ4" + ], + "䄘": [ + "ㄆㄥ2" + ], + "䄙": [ + "ㄇㄧㄥ2" + ], + "䄚": [ + "ㄘㄠ2" + ], + "䄛": [ + "ㄌㄡ2" + ], + "䄜": [ + "ㄌㄧ2", + "ㄔ1" + ], + "䄝": [ + "ㄔㄨㄤ1" + ], + "䄟": [ + "ㄘㄨㄟ1" + ], + "䄠": [ + "ㄕㄢ4" + ], + "䄡": [ + "ㄉㄢ1" + ], + "䄢": [ + "ㄑㄧ2" + ], + "䄤": [ + "ㄌㄞ4", + "ㄌㄢ3" + ], + "䄥": [ + "ㄌㄧㄥ2" + ], + "䄦": [ + "ㄌㄧㄠ3" + ], + "䄧": [ + "ㄖㄥ2" + ], + "䄨": [ + "ㄩ2" + ], + "䄩": [ + "ㄧ4" + ], + "䄪": [ + "ㄉㄧㄠ3" + ], + "䄫": [ + "ㄑㄧ3" + ], + "䄬": [ + "ㄧ2" + ], + "䄭": [ + "ㄋㄧㄢ2" + ], + "䄮": [ + "ㄈㄨ1" + ], + "䄯": [ + "ㄐㄧㄢ3" + ], + "䄰": [ + "ㄧㄚ2" + ], + "䄱": [ + "ㄈㄤ1" + ], + "䄲": [ + "ㄖㄨㄟ4" + ], + "䄳": [ + "ㄒㄧㄢ1" + ], + "䄶": [ + "ㄅㄧ4", + "ㄅㄛ2" + ], + "䄷": [ + "ㄕ2" + ], + "䄸": [ + "ㄆㄛ4" + ], + "䄹": [ + "ㄋㄧㄢ2" + ], + "䄺": [ + "ㄓ4", + "ㄊㄧ2" + ], + "䄻": [ + "ㄊㄠ2", + "ㄔㄠ2", + "ㄊㄧㄠ1" + ], + "䄼": [ + "ㄊㄧㄢ3" + ], + "䄽": [ + "ㄊㄧㄢ3" + ], + "䄾": [ + "ㄖㄨ4", + "ㄖㄨㄥ3" + ], + "䄿": [ + "ㄧ4" + ], + "䅀": [ + "ㄌㄧㄝ4" + ], + "䅁": [ + "ㄢ4" + ], + "䅂": [ + "ㄏㄜ2" + ], + "䅃": [ + "ㄑㄩㄥ2", + "ㄐㄩㄥ4" + ], + "䅄": [ + "ㄌㄧ4" + ], + "䅅": [ + "ㄍㄨㄟ1", + "ㄨㄚ1" + ], + "䅆": [ + "ㄗ4" + ], + "䅇": [ + "ㄙㄨ4" + ], + "䅈": [ + "ㄩㄢ4" + ], + "䅉": [ + "ㄧㄚ4" + ], + "䅊": [ + "ㄔㄚ2" + ], + "䅋": [ + "ㄨㄢ3" + ], + "䅌": [ + "ㄐㄩㄢ1" + ], + "䅍": [ + "ㄊㄧㄥ3" + ], + "䅎": [ + "ㄧㄡ3" + ], + "䅏": [ + "ㄏㄨㄟ4" + ], + "䅐": [ + "ㄐㄧㄢ3" + ], + "䅑": [ + "ㄖㄨㄟ2" + ], + "䅒": [ + "ㄇㄤ2" + ], + "䅓": [ + "ㄐㄩ3" + ], + "䅔": [ + "ㄗ1" + ], + "䅕": [ + "ㄐㄩ1" + ], + "䅖": [ + "ㄢ1", + "ㄢ3", + "ㄧㄢ1", + "ㄧㄢ3", + "ㄧㄝ4" + ], + "䅗": [ + "ㄙㄨㄟ4" + ], + "䅘": [ + "ㄌㄞ2" + ], + "䅙": [ + "ㄏㄨㄣ4" + ], + "䅚": [ + "ㄑㄩㄢ3" + ], + "䅛": [ + "ㄔㄤ1" + ], + "䅜": [ + "ㄉㄨㄛ4", + "ㄔㄨㄟ2", + "ㄊㄨㄛ3" + ], + "䅝": [ + "ㄎㄨㄥ1" + ], + "䅞": [ + "ㄋㄜ4" + ], + "䅟": [ + "ㄘㄢ3" + ], + "䅠": [ + "ㄊㄧ2" + ], + "䅡": [ + "ㄒㄩ3" + ], + "䅢": [ + "ㄐㄧㄡ4" + ], + "䅣": [ + "ㄏㄨㄤ2" + ], + "䅤": [ + "ㄑㄧ4" + ], + "䅥": [ + "ㄐㄧㄝ2", + "ㄍㄜ2" + ], + "䅦": [ + "ㄇㄠ2" + ], + "䅧": [ + "ㄧㄢ1", + "ㄧㄣ4" + ], + "䅩": [ + "ㄓ3", + "ㄑㄧ2" + ], + "䅪": [ + "ㄊㄨㄟ2" + ], + "䅬": [ + "ㄞ4" + ], + "䅭": [ + "ㄆㄤ2" + ], + "䅮": [ + "ㄘㄤ4" + ], + "䅯": [ + "ㄊㄤ2" + ], + "䅰": [ + "ㄣ3" + ], + "䅱": [ + "ㄏㄨㄣ4" + ], + "䅲": [ + "ㄑㄧ2" + ], + "䅳": [ + "ㄔㄨ2", + "ㄗㄡ1" + ], + "䅴": [ + "ㄙㄨㄛ3" + ], + "䅵": [ + "ㄓㄨㄛ2" + ], + "䅶": [ + "ㄋㄡ4" + ], + "䅷": [ + "ㄊㄨ2", + "ㄔㄨ2" + ], + "䅸": [ + "ㄕㄣ1", + "ㄗㄨ2" + ], + "䅹": [ + "ㄌㄡ3" + ], + "䅺": [ + "ㄅㄧㄠ1", + "ㄇㄧㄠ3" + ], + "䅻": [ + "ㄌㄧ2" + ], + "䅼": [ + "ㄇㄢ2", + "ㄇㄢ4" + ], + "䅽": [ + "ㄒㄧㄣ1", + "ㄍㄨ3" + ], + "䅾": [ + "ㄘㄣ2", + "ㄑㄧㄢ2" + ], + "䅿": [ + "ㄏㄨㄚ2", + "ㄏㄨㄤ2" + ], + "䆀": [ + "ㄇㄟ3" + ], + "䆁": [ + "ㄍㄠ1" + ], + "䆂": [ + "ㄌㄧㄢ2" + ], + "䆃": [ + "ㄉㄠ4" + ], + "䆄": [ + "ㄓㄢ3" + ], + "䆅": [ + "ㄗ1" + ], + "䆈": [ + "ㄓ4" + ], + "䆉": [ + "ㄅㄚ4" + ], + "䆊": [ + "ㄘㄨㄟ4", + "ㄇㄟ4" + ], + "䆋": [ + "ㄑㄧㄡ1" + ], + "䆍": [ + "ㄌㄨㄥ2" + ], + "䆎": [ + "ㄒㄧㄢ1" + ], + "䆏": [ + "ㄈㄟ4", + "ㄈㄣ4" + ], + "䆐": [ + "ㄍㄨㄛ2" + ], + "䆑": [ + "ㄔㄥ2" + ], + "䆒": [ + "ㄐㄧㄡ4" + ], + "䆓": [ + "ㄜ4", + "ㄖㄨㄢ3" + ], + "䆔": [ + "ㄔㄨㄥ1" + ], + "䆕": [ + "ㄩㄝ4" + ], + "䆖": [ + "ㄏㄨㄥ2" + ], + "䆗": [ + "ㄧㄠ3" + ], + "䆘": [ + "ㄧㄚ1", + "ㄗㄚ1" + ], + "䆙": [ + "ㄧㄠ2" + ], + "䆚": [ + "ㄊㄨㄥ2", + "ㄉㄨㄥ4" + ], + "䆛": [ + "ㄓㄚ4" + ], + "䆜": [ + "ㄧㄡ4" + ], + "䆝": [ + "ㄒㄩㄝ4", + "ㄓㄨ2" + ], + "䆞": [ + "ㄧㄠ3" + ], + "䆟": [ + "ㄎㄜ4", + "ㄠ1" + ], + "䆠": [ + "ㄏㄨㄢ4" + ], + "䆡": [ + "ㄌㄤ2" + ], + "䆢": [ + "ㄩㄝ4" + ], + "䆣": [ + "ㄔㄣ2" + ], + "䆦": [ + "ㄕㄣ4" + ], + "䆨": [ + "ㄋㄧㄥ2" + ], + "䆩": [ + "ㄇㄧㄥ2" + ], + "䆪": [ + "ㄏㄨㄥ1" + ], + "䆫": [ + "ㄔㄨㄤ1" + ], + "䆬": [ + "ㄩㄣ3" + ], + "䆭": [ + "ㄒㄩㄢ1" + ], + "䆮": [ + "ㄐㄧㄣ4" + ], + "䆯": [ + "ㄓㄨㄛ2" + ], + "䆰": [ + "ㄩ1" + ], + "䆱": [ + "ㄊㄢ1" + ], + "䆲": [ + "ㄎㄤ1" + ], + "䆳": [ + "ㄑㄩㄥ2" + ], + "䆵": [ + "ㄔㄥ2" + ], + "䆶": [ + "ㄐㄧㄡ1" + ], + "䆷": [ + "ㄒㄩㄝ4" + ], + "䆸": [ + "ㄓㄥ1" + ], + "䆹": [ + "ㄔㄨㄥ1", + "ㄊㄨㄥ3" + ], + "䆺": [ + "ㄆㄢ1" + ], + "䆻": [ + "ㄑㄧㄠ4" + ], + "䆽": [ + "ㄑㄩ2" + ], + "䆾": [ + "ㄌㄢ2", + "ㄌㄢ4" + ], + "䆿": [ + "ㄧ4" + ], + "䇀": [ + "ㄖㄨㄥ2" + ], + "䇁": [ + "ㄙ1" + ], + "䇂": [ + "ㄑㄧㄢ1" + ], + "䇃": [ + "ㄙ4" + ], + "䇅": [ + "ㄈㄚ2" + ], + "䇇": [ + "ㄇㄥ2" + ], + "䇈": [ + "ㄏㄨㄚ4" + ], + "䇋": [ + "ㄏㄞ4" + ], + "䇌": [ + "ㄑㄧㄠ4" + ], + "䇍": [ + "ㄔㄨ4", + "ㄑㄧ4" + ], + "䇎": [ + "ㄑㄩㄝ4" + ], + "䇏": [ + "ㄉㄨㄟ4" + ], + "䇐": [ + "ㄌㄧ4" + ], + "䇑": [ + "ㄅㄚ4", + "ㄆㄧ1" + ], + "䇒": [ + "ㄐㄧㄝ4" + ], + "䇓": [ + "ㄒㄩ1" + ], + "䇔": [ + "ㄌㄨㄛ4", + "ㄋㄨㄛ4" + ], + "䇖": [ + "ㄩㄣ3" + ], + "䇗": [ + "ㄓㄨㄥ1" + ], + "䇘": [ + "ㄏㄨ4" + ], + "䇙": [ + "ㄧㄣ3" + ], + "䇛": [ + "ㄓ3" + ], + "䇜": [ + "ㄑㄧㄢ3", + "ㄑㄧㄢ4" + ], + "䇞": [ + "ㄍㄢ1", + "ㄍㄢ3" + ], + "䇟": [ + "ㄐㄧㄢ4" + ], + "䇠": [ + "ㄓㄨ4" + ], + "䇡": [ + "ㄓㄨ4" + ], + "䇢": [ + "ㄎㄨ3", + "ㄍㄨ4" + ], + "䇣": [ + "ㄋㄧㄝ4" + ], + "䇤": [ + "ㄖㄨㄟ4" + ], + "䇥": [ + "ㄗㄜ2" + ], + "䇦": [ + "ㄤ3", + "ㄧㄥ1" + ], + "䇧": [ + "ㄓ4", + "ㄐㄧ1" + ], + "䇨": [ + "ㄍㄨㄥ4", + "ㄒㄧㄤ2" + ], + "䇩": [ + "ㄧ4", + "ㄧㄝ4" + ], + "䇪": [ + "ㄔ1" + ], + "䇫": [ + "ㄐㄧ1" + ], + "䇬": [ + "ㄓㄨ1", + "ㄕㄨ1", + "ㄔㄨㄤ3" + ], + "䇭": [ + "ㄌㄠ3" + ], + "䇮": [ + "ㄖㄣ4" + ], + "䇯": [ + "ㄖㄨㄥ2" + ], + "䇰": [ + "ㄓㄥ1" + ], + "䇱": [ + "ㄋㄚ4" + ], + "䇲": [ + "ㄘㄜ4", + "ㄐㄧㄚ1" + ], + "䇵": [ + "ㄧ2" + ], + "䇶": [ + "ㄐㄩㄝ2", + "ㄨㄛ4" + ], + "䇷": [ + "ㄅㄧㄝ2" + ], + "䇸": [ + "ㄔㄥ2", + "ㄊㄧㄥ1" + ], + "䇹": [ + "ㄐㄩㄣ4" + ], + "䇺": [ + "ㄉㄡ4" + ], + "䇻": [ + "ㄨㄟ3" + ], + "䇼": [ + "ㄧ4" + ], + "䇽": [ + "ㄓㄜ2", + "ㄓ4" + ], + "䇾": [ + "ㄧㄢ2" + ], + "䈀": [ + "ㄙㄢ1" + ], + "䈁": [ + "ㄌㄨㄣ2" + ], + "䈂": [ + "ㄆㄧㄥ2" + ], + "䈃": [ + "ㄓㄠ3" + ], + "䈄": [ + "ㄏㄢ2" + ], + "䈅": [ + "ㄩ4" + ], + "䈆": [ + "ㄉㄞ4" + ], + "䈇": [ + "ㄓㄠ4" + ], + "䈈": [ + "ㄈㄟ2", + "ㄅㄚ1" + ], + "䈉": [ + "ㄕㄚ4", + "ㄑㄧㄝ4" + ], + "䈊": [ + "ㄌㄧㄥ2" + ], + "䈋": [ + "ㄊㄚ4" + ], + "䈌": [ + "ㄑㄩ1" + ], + "䈍": [ + "ㄇㄤ2", + "ㄇㄥ2" + ], + "䈎": [ + "ㄧㄝ4" + ], + "䈏": [ + "ㄅㄠ2", + "ㄈㄨ2" + ], + "䈐": [ + "ㄍㄨㄟ4" + ], + "䈑": [ + "ㄍㄨㄚ3" + ], + "䈒": [ + "ㄋㄢ3", + "ㄌㄢ3" + ], + "䈓": [ + "ㄍㄜ2", + "ㄑㄧㄚ4" + ], + "䈕": [ + "ㄕ2", + "ㄊㄧ2", + "ㄐㄧ1", + "ㄧ2" + ], + "䈖": [ + "ㄎㄜ1" + ], + "䈗": [ + "ㄙㄨㄛ3" + ], + "䈘": [ + "ㄘ2" + ], + "䈙": [ + "ㄓㄡ4" + ], + "䈚": [ + "ㄊㄞ2" + ], + "䈛": [ + "ㄎㄨㄞ4" + ], + "䈜": [ + "ㄑㄧㄣ4" + ], + "䈝": [ + "ㄒㄩ1" + ], + "䈞": [ + "ㄉㄨ3" + ], + "䈟": [ + "ㄘㄜ4", + "ㄓㄚ2" + ], + "䈠": [ + "ㄏㄨㄢ3", + "ㄩㄢ4" + ], + "䈡": [ + "ㄘㄨㄥ1", + "ㄙㄨㄥ1" + ], + "䈢": [ + "ㄙㄞ3", + "ㄒㄧ3" + ], + "䈣": [ + "ㄓㄥ4" + ], + "䈤": [ + "ㄑㄧㄢ2" + ], + "䈥": [ + "ㄐㄧㄣ1" + ], + "䈦": [ + "ㄗㄨㄥ1" + ], + "䈧": [ + "ㄨㄟ3" + ], + "䈪": [ + "ㄒㄧ4" + ], + "䈫": [ + "ㄋㄚ4" + ], + "䈬": [ + "ㄆㄨ2" + ], + "䈭": [ + "ㄙㄡ1", + "ㄏㄨㄞ2" + ], + "䈮": [ + "ㄐㄩ4" + ], + "䈯": [ + "ㄓㄣ1" + ], + "䈰": [ + "ㄕㄠ1" + ], + "䈱": [ + "ㄊㄠ1" + ], + "䈲": [ + "ㄅㄢ1", + "ㄆㄢ2" + ], + "䈳": [ + "ㄊㄚ4" + ], + "䈴": [ + "ㄑㄧㄢ4" + ], + "䈵": [ + "ㄨㄥ1" + ], + "䈶": [ + "ㄖㄨㄥ2" + ], + "䈷": [ + "ㄌㄨㄛ4" + ], + "䈸": [ + "ㄏㄨ2" + ], + "䈹": [ + "ㄙㄡ3" + ], + "䈺": [ + "ㄓㄨㄥ1" + ], + "䈻": [ + "ㄆㄨ2" + ], + "䈼": [ + "ㄇㄧㄝ4", + "ㄇㄧ4" + ], + "䈽": [ + "ㄐㄧㄣ1" + ], + "䈾": [ + "ㄕㄠ1", + "ㄕㄨㄛ4" + ], + "䈿": [ + "ㄇㄧ4" + ], + "䉀": [ + "ㄕㄨ4" + ], + "䉁": [ + "ㄌㄧㄥ2" + ], + "䉂": [ + "ㄌㄟ3" + ], + "䉃": [ + "ㄐㄧㄤ3" + ], + "䉄": [ + "ㄌㄥ2" + ], + "䉅": [ + "ㄓ4" + ], + "䉆": [ + "ㄉㄧㄠ3" + ], + "䉈": [ + "ㄙㄢ3" + ], + "䉉": [ + "ㄍㄨ1", + "ㄏㄨ2" + ], + "䉊": [ + "ㄈㄢ4" + ], + "䉋": [ + "ㄇㄟ4" + ], + "䉌": [ + "ㄙㄨㄟ4" + ], + "䉍": [ + "ㄐㄧㄢ3" + ], + "䉎": [ + "ㄊㄤ2" + ], + "䉏": [ + "ㄒㄧㄝ4" + ], + "䉐": [ + "ㄎㄨ1" + ], + "䉑": [ + "ㄨ2" + ], + "䉒": [ + "ㄈㄢ2" + ], + "䉓": [ + "ㄌㄨㄛ4" + ], + "䉔": [ + "ㄘㄢ1" + ], + "䉕": [ + "ㄘㄥ2" + ], + "䉖": [ + "ㄌㄧㄥ2" + ], + "䉗": [ + "ㄧ1" + ], + "䉘": [ + "ㄘㄨㄥ2" + ], + "䉙": [ + "ㄩㄣ2" + ], + "䉚": [ + "ㄇㄥ2" + ], + "䉛": [ + "ㄩ4", + "ㄠ3" + ], + "䉜": [ + "ㄓ4" + ], + "䉝": [ + "ㄧ3" + ], + "䉞": [ + "ㄉㄢ3" + ], + "䉟": [ + "ㄏㄨㄛ4" + ], + "䉠": [ + "ㄨㄟ2" + ], + "䉡": [ + "ㄊㄢ2" + ], + "䉢": [ + "ㄙㄜ4" + ], + "䉣": [ + "ㄒㄧㄝ4" + ], + "䉤": [ + "ㄙㄡ3" + ], + "䉥": [ + "ㄙㄨㄥ3" + ], + "䉦": [ + "ㄑㄧㄢ1" + ], + "䉧": [ + "ㄌㄧㄡ2", + "ㄌㄧㄡ3" + ], + "䉨": [ + "ㄧ4" + ], + "䉪": [ + "ㄌㄟ4" + ], + "䉫": [ + "ㄌㄧ2" + ], + "䉬": [ + "ㄈㄟ4" + ], + "䉭": [ + "ㄌㄧㄝ4" + ], + "䉮": [ + "ㄌㄧㄣ4" + ], + "䉯": [ + "ㄒㄧㄢ4" + ], + "䉰": [ + "ㄒㄧㄠ4", + "ㄐㄧㄠ3" + ], + "䉱": [ + "ㄡ1" + ], + "䉲": [ + "ㄇㄧ2" + ], + "䉳": [ + "ㄒㄧㄢ1", + "ㄒㄧㄢ3" + ], + "䉴": [ + "ㄖㄤ2" + ], + "䉵": [ + "ㄓㄨㄢ4", + "ㄗㄨㄢ3" + ], + "䉶": [ + "ㄕㄨㄤ1" + ], + "䉷": [ + "ㄧㄢ2" + ], + "䉸": [ + "ㄅㄧㄢ4" + ], + "䉹": [ + "ㄌㄧㄥ2" + ], + "䉺": [ + "ㄏㄨㄥ2" + ], + "䉻": [ + "ㄑㄧ2" + ], + "䉼": [ + "ㄌㄧㄠ4" + ], + "䉽": [ + "ㄅㄢ3" + ], + "䉾": [ + "ㄅㄧ4" + ], + "䉿": [ + "ㄏㄨ2" + ], + "䊀": [ + "ㄏㄨ2" + ], + "䊂": [ + "ㄘㄜ4", + "ㄙㄜ4" + ], + "䊃": [ + "ㄆㄟ4" + ], + "䊄": [ + "ㄑㄩㄥ2" + ], + "䊅": [ + "ㄇㄧㄥ2" + ], + "䊆": [ + "ㄐㄧㄡ4", + "ㄑㄧㄡ3" + ], + "䊇": [ + "ㄅㄨ4" + ], + "䊈": [ + "ㄇㄟ2" + ], + "䊉": [ + "ㄙㄢ3" + ], + "䊊": [ + "ㄨㄟ4" + ], + "䊍": [ + "ㄌㄧ2" + ], + "䊎": [ + "ㄑㄩㄢ3", + "ㄑㄩㄣ2" + ], + "䊐": [ + "ㄏㄨㄣ2" + ], + "䊑": [ + "ㄒㄧㄤ3" + ], + "䊓": [ + "ㄕ4" + ], + "䊔": [ + "ㄧㄥ2" + ], + "䊖": [ + "ㄋㄢ3" + ], + "䊗": [ + "ㄏㄨㄤ2" + ], + "䊘": [ + "ㄐㄧㄡ4" + ], + "䊙": [ + "ㄧㄢ1" + ], + "䊛": [ + "ㄙㄚ4" + ], + "䊜": [ + "ㄊㄨㄢ2" + ], + "䊝": [ + "ㄒㄧㄝ4" + ], + "䊞": [ + "ㄓㄜ2", + "ㄔㄜ4" + ], + "䊟": [ + "ㄇㄣ2" + ], + "䊠": [ + "ㄒㄧ4" + ], + "䊡": [ + "ㄇㄢ2" + ], + "䊣": [ + "ㄏㄨㄤ2" + ], + "䊤": [ + "ㄊㄢ2", + "ㄉㄢ4" + ], + "䊥": [ + "ㄒㄧㄠ4" + ], + "䊦": [ + "ㄧㄝ4" + ], + "䊧": [ + "ㄅㄧ4" + ], + "䊨": [ + "ㄌㄨㄛ2" + ], + "䊩": [ + "ㄈㄢ2" + ], + "䊪": [ + "ㄌㄧ4" + ], + "䊫": [ + "ㄘㄨㄟ3" + ], + "䊬": [ + "ㄔㄨㄚ1" + ], + "䊭": [ + "ㄉㄠ4", + "ㄔㄡ2" + ], + "䊮": [ + "ㄉㄧ2" + ], + "䊯": [ + "ㄎㄨㄤ4" + ], + "䊰": [ + "ㄔㄨ2" + ], + "䊱": [ + "ㄒㄧㄢ1" + ], + "䊲": [ + "ㄔㄢ4", + "ㄔㄢ3" + ], + "䊳": [ + "ㄇㄧ2", + "ㄇㄛ2" + ], + "䊴": [ + "ㄑㄧㄢ4" + ], + "䊵": [ + "ㄑㄧㄡ2" + ], + "䊶": [ + "ㄓㄣ4" + ], + "䊺": [ + "ㄏㄨ4" + ], + "䊻": [ + "ㄍㄢ1" + ], + "䊼": [ + "ㄔ3" + ], + "䊽": [ + "ㄍㄨㄞ4", + "ㄐㄩㄝ2" + ], + "䊾": [ + "ㄇㄨ4" + ], + "䊿": [ + "ㄅㄛ2" + ], + "䋀": [ + "ㄏㄨㄚ4" + ], + "䋁": [ + "ㄍㄥ3" + ], + "䋂": [ + "ㄧㄠ2" + ], + "䋃": [ + "ㄇㄠ4" + ], + "䋄": [ + "ㄨㄤ3" + ], + "䋈": [ + "ㄖㄨ2", + "ㄋㄚ3" + ], + "䋉": [ + "ㄒㄩㄝ2" + ], + "䋊": [ + "ㄓㄥ1" + ], + "䋋": [ + "ㄇㄧㄣ2" + ], + "䋌": [ + "ㄐㄧㄤ3" + ], + "䋎": [ + "ㄓㄢ4" + ], + "䋏": [ + "ㄗㄨㄛ2", + "ㄓㄚ4" + ], + "䋐": [ + "ㄩㄝ4" + ], + "䋑": [ + "ㄌㄧㄝ4" + ], + "䋓": [ + "ㄓㄡ4" + ], + "䋔": [ + "ㄅㄧ4" + ], + "䋕": [ + "ㄖㄣ4" + ], + "䋖": [ + "ㄩ4" + ], + "䋘": [ + "ㄔㄨㄛ4" + ], + "䋙": [ + "ㄦ3" + ], + "䋚": [ + "ㄧ4" + ], + "䋛": [ + "ㄇㄧ3" + ], + "䋜": [ + "ㄑㄧㄥ4" + ], + "䋞": [ + "ㄨㄤ3" + ], + "䋟": [ + "ㄐㄧ4" + ], + "䋠": [ + "ㄅㄨ3" + ], + "䋢": [ + "ㄅㄧㄝ1" + ], + "䋣": [ + "ㄈㄢ2", + "ㄆㄛ2" + ], + "䋤": [ + "ㄩㄝ4" + ], + "䋥": [ + "ㄌㄧ2" + ], + "䋦": [ + "ㄈㄢ2" + ], + "䋧": [ + "ㄑㄩ2" + ], + "䋨": [ + "ㄈㄨ3" + ], + "䋩": [ + "ㄦ2" + ], + "䋪": [ + "ㄜ1" + ], + "䋫": [ + "ㄓㄥ1" + ], + "䋬": [ + "ㄊㄧㄢ1" + ], + "䋭": [ + "ㄩ4" + ], + "䋮": [ + "ㄐㄧㄣ4" + ], + "䋯": [ + "ㄑㄧ3" + ], + "䋰": [ + "ㄐㄩ2" + ], + "䋱": [ + "ㄌㄞ2" + ], + "䋲": [ + "ㄔㄜ3" + ], + "䋳": [ + "ㄅㄟ3" + ], + "䋴": [ + "ㄋㄧㄡ4" + ], + "䋵": [ + "ㄧ4", + "ㄧㄝ4" + ], + "䋶": [ + "ㄒㄩ3", + "ㄒㄧㄝ2" + ], + "䋷": [ + "ㄇㄡ2" + ], + "䋸": [ + "ㄒㄩㄣ2" + ], + "䋹": [ + "ㄈㄨ2" + ], + "䋻": [ + "ㄋㄧㄣ2" + ], + "䋼": [ + "ㄊㄧㄥ1", + "ㄧㄥ2" + ], + "䋽": [ + "ㄅㄥ3" + ], + "䋾": [ + "ㄓㄚ3", + "ㄋㄚ4" + ], + "䋿": [ + "ㄨㄟ1" + ], + "䌀": [ + "ㄎㄜ1" + ], + "䌁": [ + "ㄧㄠ1" + ], + "䌂": [ + "ㄡ4" + ], + "䌃": [ + "ㄒㄧㄠ1", + "ㄕㄨㄛ4" + ], + "䌄": [ + "ㄍㄥ3" + ], + "䌅": [ + "ㄊㄤ2" + ], + "䌆": [ + "ㄍㄨㄟ4" + ], + "䌇": [ + "ㄏㄨㄟ4" + ], + "䌈": [ + "ㄊㄚ1", + "ㄊㄚ4" + ], + "䌊": [ + "ㄧㄠ2" + ], + "䌋": [ + "ㄉㄚ1" + ], + "䌌": [ + "ㄑㄧ4" + ], + "䌍": [ + "ㄐㄧㄣ3" + ], + "䌎": [ + "ㄌㄩㄝ4" + ], + "䌏": [ + "ㄇㄧ4" + ], + "䌐": [ + "ㄇㄧ4" + ], + "䌑": [ + "ㄐㄧㄢ1" + ], + "䌒": [ + "ㄌㄨ4" + ], + "䌓": [ + "ㄈㄢ2" + ], + "䌔": [ + "ㄡ1" + ], + "䌕": [ + "ㄇㄧ2" + ], + "䌖": [ + "ㄐㄧㄝ2" + ], + "䌗": [ + "ㄈㄨ3" + ], + "䌘": [ + "ㄅㄧㄝ4", + "ㄅㄧ4" + ], + "䌙": [ + "ㄏㄨㄤ4" + ], + "䌚": [ + "ㄙㄨ1" + ], + "䌛": [ + "ㄧㄠ2" + ], + "䌜": [ + "ㄋㄧㄝ4" + ], + "䌝": [ + "ㄐㄧㄣ1", + "ㄐㄧㄣ4" + ], + "䌞": [ + "ㄌㄧㄢ3" + ], + "䌟": [ + "ㄅㄛ2", + "ㄅㄧ4" + ], + "䌠": [ + "ㄐㄧㄢ1" + ], + "䌡": [ + "ㄊㄧ3" + ], + "䌢": [ + "ㄌㄧㄥ2" + ], + "䌣": [ + "ㄗㄨㄢ3" + ], + "䌤": [ + "ㄕ1", + "ㄓ3" + ], + "䌥": [ + "ㄧㄣ3" + ], + "䌦": [ + "ㄉㄠ4" + ], + "䌧": [ + "ㄔㄡ2" + ], + "䌨": [ + "ㄘㄚ1", + "ㄘㄞ4" + ], + "䌩": [ + "ㄇㄧㄝ4" + ], + "䌪": [ + "ㄧㄢ3" + ], + "䌫": [ + "ㄌㄢ3" + ], + "䌬": [ + "ㄔㄨㄥ2" + ], + "䌭": [ + "ㄐㄧㄠ1" + ], + "䌮": [ + "ㄕㄨㄤ1" + ], + "䌯": [ + "ㄑㄩㄢ1", + "ㄑㄩㄢ2", + "ㄍㄨㄢ4" + ], + "䌰": [ + "ㄋㄧㄝ4" + ], + "䌱": [ + "ㄌㄨㄛ4" + ], + "䌳": [ + "ㄕ1" + ], + "䌴": [ + "ㄌㄨㄛ4" + ], + "䌵": [ + "ㄓㄨ2" + ], + "䌷": [ + "ㄔㄡ1", + "ㄔㄡ2" + ], + "䌸": [ + "ㄐㄩㄢ4" + ], + "䌹": [ + "ㄐㄩㄥ3" + ], + "䌺": [ + "ㄦ3" + ], + "䌻": [ + "ㄧ4" + ], + "䌼": [ + "ㄖㄨㄟ4" + ], + "䌽": [ + "ㄘㄞ3" + ], + "䌾": [ + "ㄖㄣ2" + ], + "䌿": [ + "ㄈㄨ2" + ], + "䍀": [ + "ㄌㄢ2" + ], + "䍁": [ + "ㄙㄨㄟ4" + ], + "䍂": [ + "ㄩ2" + ], + "䍃": [ + "ㄧㄡ2" + ], + "䍄": [ + "ㄉㄧㄢ3" + ], + "䍅": [ + "ㄌㄧㄥ2" + ], + "䍆": [ + "ㄓㄨ4" + ], + "䍇": [ + "ㄊㄚ4" + ], + "䍈": [ + "ㄆㄧㄥ2" + ], + "䍉": [ + "ㄓㄞ3" + ], + "䍊": [ + "ㄐㄧㄠ1" + ], + "䍋": [ + "ㄔㄨㄟ2" + ], + "䍌": [ + "ㄅㄨ4" + ], + "䍍": [ + "ㄎㄡ4" + ], + "䍎": [ + "ㄘㄨㄣ4", + "ㄒㄧㄢ3" + ], + "䍐": [ + "ㄏㄢ3" + ], + "䍑": [ + "ㄏㄢ3" + ], + "䍒": [ + "ㄇㄡ3" + ], + "䍓": [ + "ㄏㄨ4" + ], + "䍔": [ + "ㄍㄨㄥ1" + ], + "䍕": [ + "ㄉㄧ1", + "ㄉㄧ3" + ], + "䍖": [ + "ㄈㄨ2" + ], + "䍗": [ + "ㄒㄩㄢ4" + ], + "䍘": [ + "ㄇㄧ2" + ], + "䍙": [ + "ㄇㄟ2", + "ㄇㄡ3" + ], + "䍚": [ + "ㄌㄤ4" + ], + "䍛": [ + "ㄍㄨ4" + ], + "䍜": [ + "ㄓㄠ4" + ], + "䍝": [ + "ㄊㄚ4" + ], + "䍞": [ + "ㄩ4" + ], + "䍟": [ + "ㄗㄨㄥ4" + ], + "䍠": [ + "ㄌㄧ2" + ], + "䍡": [ + "ㄌㄨ4" + ], + "䍢": [ + "ㄨ2" + ], + "䍣": [ + "ㄌㄟ2" + ], + "䍤": [ + "ㄐㄧ3" + ], + "䍥": [ + "ㄌㄧ4" + ], + "䍦": [ + "ㄌㄧ2" + ], + "䍨": [ + "ㄆㄛ1", + "ㄈㄟ4" + ], + "䍩": [ + "ㄧㄤ3" + ], + "䍪": [ + "ㄨㄚ4" + ], + "䍫": [ + "ㄊㄨㄛ2" + ], + "䍬": [ + "ㄆㄥ1" + ], + "䍮": [ + "ㄓㄠ4" + ], + "䍯": [ + "ㄍㄨㄟ3" + ], + "䍱": [ + "ㄒㄩ2" + ], + "䍲": [ + "ㄋㄞ2" + ], + "䍳": [ + "ㄑㄩㄝ4", + "ㄐㄩㄝ2", + "ㄔㄨㄛ4" + ], + "䍴": [ + "ㄨㄟ3" + ], + "䍵": [ + "ㄓㄥ1" + ], + "䍶": [ + "ㄉㄨㄥ1" + ], + "䍷": [ + "ㄨㄟ3" + ], + "䍸": [ + "ㄅㄛ2" + ], + "䍺": [ + "ㄏㄨㄢ4" + ], + "䍻": [ + "ㄒㄩㄢ4" + ], + "䍼": [ + "ㄗㄢ1", + "ㄘㄢ2" + ], + "䍽": [ + "ㄌㄧ4" + ], + "䍾": [ + "ㄧㄢ3" + ], + "䍿": [ + "ㄏㄨㄤ2" + ], + "䎀": [ + "ㄒㄩㄝ4" + ], + "䎁": [ + "ㄏㄨ2" + ], + "䎂": [ + "ㄅㄠ3" + ], + "䎃": [ + "ㄖㄢ3" + ], + "䎄": [ + "ㄒㄧㄠ1", + "ㄊㄧㄠ2" + ], + "䎅": [ + "ㄆㄛ4" + ], + "䎆": [ + "ㄌㄧㄠ4" + ], + "䎇": [ + "ㄓㄡ1" + ], + "䎈": [ + "ㄧ4" + ], + "䎉": [ + "ㄒㄩ4" + ], + "䎊": [ + "ㄌㄨㄛ4", + "ㄆㄛ4" + ], + "䎋": [ + "ㄎㄠ4" + ], + "䎌": [ + "ㄔㄨ4" + ], + "䎎": [ + "ㄋㄚ4" + ], + "䎏": [ + "ㄏㄢ2" + ], + "䎐": [ + "ㄔㄠ3" + ], + "䎑": [ + "ㄌㄨ4" + ], + "䎒": [ + "ㄓㄢ3" + ], + "䎓": [ + "ㄊㄚ4" + ], + "䎔": [ + "ㄈㄨ1" + ], + "䎕": [ + "ㄏㄨㄥ1" + ], + "䎖": [ + "ㄗㄥ1" + ], + "䎗": [ + "ㄑㄧㄠ2" + ], + "䎘": [ + "ㄙㄨ4" + ], + "䎙": [ + "ㄆㄧㄣ1" + ], + "䎚": [ + "ㄍㄨㄢ4" + ], + "䎜": [ + "ㄏㄨㄣ1" + ], + "䎝": [ + "ㄔㄨ2" + ], + "䎟": [ + "ㄦ2" + ], + "䎠": [ + "ㄦ2", + "ㄋㄨㄛ4" + ], + "䎡": [ + "ㄖㄨㄢ3" + ], + "䎢": [ + "ㄑㄧ3" + ], + "䎣": [ + "ㄙ4" + ], + "䎤": [ + "ㄐㄩ2" + ], + "䎦": [ + "ㄧㄢ3" + ], + "䎧": [ + "ㄅㄤ4", + "ㄆㄡ2" + ], + "䎨": [ + "ㄧㄝ4", + "ㄢ4" + ], + "䎩": [ + "ㄗ1" + ], + "䎪": [ + "ㄋㄜ4" + ], + "䎫": [ + "ㄔㄨㄤ4" + ], + "䎬": [ + "ㄅㄚ4" + ], + "䎭": [ + "ㄘㄠ1" + ], + "䎮": [ + "ㄊㄧ4" + ], + "䎯": [ + "ㄏㄢ4", + "ㄏㄢ3" + ], + "䎰": [ + "ㄗㄨㄛ2" + ], + "䎱": [ + "ㄅㄚ4", + "ㄅㄟ1" + ], + "䎲": [ + "ㄓㄜ2" + ], + "䎳": [ + "ㄨㄚ4" + ], + "䎴": [ + "ㄍㄥ1", + "ㄕㄥ4" + ], + "䎵": [ + "ㄅㄧ4" + ], + "䎶": [ + "ㄦ4" + ], + "䎷": [ + "ㄓㄨ4" + ], + "䎸": [ + "ㄨ4" + ], + "䎹": [ + "ㄨㄣ2" + ], + "䎺": [ + "ㄓ4" + ], + "䎻": [ + "ㄓㄡ4" + ], + "䎼": [ + "ㄌㄨ4" + ], + "䎽": [ + "ㄨㄣ2" + ], + "䎾": [ + "ㄍㄨㄣ3" + ], + "䎿": [ + "ㄑㄧㄡ2" + ], + "䏀": [ + "ㄌㄚ4" + ], + "䏁": [ + "ㄗㄞ3" + ], + "䏂": [ + "ㄙㄡ3" + ], + "䏃": [ + "ㄇㄧㄢ2", + "ㄇㄧㄥ2" + ], + "䏄": [ + "ㄉㄧ3", + "ㄓ4" + ], + "䏅": [ + "ㄑㄧ4" + ], + "䏆": [ + "ㄘㄠ2" + ], + "䏇": [ + "ㄆㄧㄠ4" + ], + "䏈": [ + "ㄌㄧㄢ2", + "ㄌㄨㄢ2" + ], + "䏉": [ + "ㄕ1" + ], + "䏊": [ + "ㄌㄨㄥ2" + ], + "䏋": [ + "ㄙㄨ4" + ], + "䏌": [ + "ㄑㄧ4", + "ㄧ4" + ], + "䏍": [ + "ㄩㄢ4", + "ㄩㄢ1" + ], + "䏎": [ + "ㄈㄥ2" + ], + "䏏": [ + "ㄒㄩ1" + ], + "䏐": [ + "ㄐㄩㄝ2" + ], + "䏑": [ + "ㄉㄧ4" + ], + "䏒": [ + "ㄆㄧㄢ4", + "ㄆㄢ4" + ], + "䏓": [ + "ㄍㄨㄢ3" + ], + "䏔": [ + "ㄋㄧㄡ3", + "ㄓㄡ3", + "ㄖㄡ4", + "ㄋㄩ4" + ], + "䏕": [ + "ㄖㄣ4" + ], + "䏖": [ + "ㄓㄣ4", + "ㄧㄣ3" + ], + "䏗": [ + "ㄍㄞ4" + ], + "䏘": [ + "ㄆㄧ4" + ], + "䏙": [ + "ㄊㄢ3", + "ㄉㄢ4", + "ㄓㄨㄢ4" + ], + "䏚": [ + "ㄔㄠ3", + "ㄇㄧㄠ3" + ], + "䏛": [ + "ㄔㄨㄣ3" + ], + "䏜": [ + "ㄏㄜ1" + ], + "䏝": [ + "ㄓㄨㄢ1" + ], + "䏞": [ + "ㄇㄛ4" + ], + "䏟": [ + "ㄅㄧㄝ2", + "ㄅㄧ4" + ], + "䏠": [ + "ㄑㄧ4", + "ㄌㄚ1" + ], + "䏡": [ + "ㄕ4" + ], + "䏢": [ + "ㄅㄧ3" + ], + "䏣": [ + "ㄐㄩㄝ2" + ], + "䏤": [ + "ㄙ4" + ], + "䏦": [ + "ㄍㄨㄚ1", + "ㄊㄧㄢ2" + ], + "䏧": [ + "ㄋㄚ4", + "ㄋㄚ2", + "ㄔ3" + ], + "䏨": [ + "ㄏㄨㄟ3", + "ㄉㄨㄟ1" + ], + "䏩": [ + "ㄒㄧ1" + ], + "䏪": [ + "ㄦ4" + ], + "䏫": [ + "ㄒㄧㄡ1" + ], + "䏬": [ + "ㄇㄡ2" + ], + "䏮": [ + "ㄒㄧ2" + ], + "䏯": [ + "ㄓ4" + ], + "䏰": [ + "ㄖㄨㄣ4" + ], + "䏱": [ + "ㄐㄩ2" + ], + "䏲": [ + "ㄉㄧㄝ2", + "ㄊㄧ1" + ], + "䏳": [ + "ㄓㄜ4" + ], + "䏴": [ + "ㄕㄠ4" + ], + "䏵": [ + "ㄇㄥ3", + "ㄇㄤ3", + "ㄇㄤ2" + ], + "䏶": [ + "ㄅㄧ4" + ], + "䏷": [ + "ㄏㄢ4" + ], + "䏸": [ + "ㄩ2" + ], + "䏹": [ + "ㄒㄧㄢ4", + "ㄔㄣ1" + ], + "䏺": [ + "ㄆㄤ1" + ], + "䏻": [ + "ㄋㄥ2" + ], + "䏼": [ + "ㄘㄢ2", + "ㄓㄢ4" + ], + "䏽": [ + "ㄅㄨ4", + "ㄆㄟ2" + ], + "䏿": [ + "ㄑㄧ3" + ], + "䐀": [ + "ㄐㄧ4" + ], + "䐁": [ + "ㄓㄨㄛ2", + "ㄉㄨ1" + ], + "䐂": [ + "ㄌㄨ4" + ], + "䐃": [ + "ㄐㄩㄣ4", + "ㄓㄨㄣ1" + ], + "䐄": [ + "ㄒㄧㄢ4", + "ㄏㄢ4" + ], + "䐅": [ + "ㄒㄧ1" + ], + "䐆": [ + "ㄘㄞ3" + ], + "䐇": [ + "ㄨㄣ3", + "ㄔㄨㄣ2" + ], + "䐈": [ + "ㄓ2" + ], + "䐉": [ + "ㄗ4", + "ㄋㄠ3" + ], + "䐊": [ + "ㄎㄨㄣ1", + "ㄏㄨㄣ2", + "ㄏㄨㄣ4" + ], + "䐋": [ + "ㄘㄨㄥ1" + ], + "䐌": [ + "ㄊㄧㄢ3" + ], + "䐍": [ + "ㄔㄨ4" + ], + "䐎": [ + "ㄉㄧ1" + ], + "䐏": [ + "ㄔㄨㄣ3", + "ㄕㄨㄣ3" + ], + "䐐": [ + "ㄑㄧㄡ1" + ], + "䐑": [ + "ㄓㄜ2" + ], + "䐒": [ + "ㄓㄚ1" + ], + "䐓": [ + "ㄖㄡ2" + ], + "䐔": [ + "ㄅㄧㄣ3", + "ㄅㄧㄢ4" + ], + "䐕": [ + "ㄐㄧ2" + ], + "䐖": [ + "ㄒㄧ1" + ], + "䐗": [ + "ㄓㄨ1", + "ㄉㄨ3" + ], + "䐘": [ + "ㄐㄩㄝ2" + ], + "䐙": [ + "ㄍㄜ2" + ], + "䐚": [ + "ㄐㄧ1" + ], + "䐛": [ + "ㄉㄚ1" + ], + "䐜": [ + "ㄔㄣ1" + ], + "䐝": [ + "ㄙㄨㄛ4" + ], + "䐞": [ + "ㄖㄨㄛ4" + ], + "䐟": [ + "ㄒㄧㄤ3", + "ㄍㄡ1" + ], + "䐠": [ + "ㄏㄨㄤ3" + ], + "䐡": [ + "ㄑㄧ2" + ], + "䐢": [ + "ㄓㄨ4", + "ㄓㄡ4", + "ㄔㄨ4" + ], + "䐣": [ + "ㄙㄨㄣ3" + ], + "䐤": [ + "ㄔㄞ1", + "ㄘㄨㄛ2" + ], + "䐥": [ + "ㄨㄥ3" + ], + "䐦": [ + "ㄎㄜ1" + ], + "䐧": [ + "ㄎㄠ4", + "ㄏㄜ4" + ], + "䐨": [ + "ㄍㄨ3", + "ㄑㄩㄝ4" + ], + "䐩": [ + "ㄍㄞ1", + "ㄍㄨㄟ1", + "ㄎㄞ3" + ], + "䐪": [ + "ㄈㄢ4" + ], + "䐫": [ + "ㄘㄨㄥ1" + ], + "䐬": [ + "ㄘㄠ2" + ], + "䐭": [ + "ㄓ4", + "ㄉㄧ4" + ], + "䐮": [ + "ㄔㄢ3" + ], + "䐯": [ + "ㄌㄟ2", + "ㄌㄟ3" + ], + "䐰": [ + "ㄒㄧㄡ1" + ], + "䐱": [ + "ㄓㄞ4" + ], + "䐲": [ + "ㄓㄜ2" + ], + "䐳": [ + "ㄩ2" + ], + "䐴": [ + "ㄍㄨㄟ4" + ], + "䐵": [ + "ㄍㄨㄥ1", + "ㄏㄨㄤ2" + ], + "䐶": [ + "ㄗㄢ1", + "ㄐㄧㄣ3", + "ㄑㄧㄢ2" + ], + "䐷": [ + "ㄉㄢ1" + ], + "䐸": [ + "ㄏㄨㄛ4", + "ㄍㄨㄛ2" + ], + "䐹": [ + "ㄙㄡ1", + "ㄙㄠ4", + "ㄒㄧㄠ4" + ], + "䐺": [ + "ㄊㄢ4", + "ㄊㄢ2" + ], + "䐻": [ + "ㄍㄨ1" + ], + "䐼": [ + "ㄒㄧ4" + ], + "䐽": [ + "ㄇㄢ2" + ], + "䐾": [ + "ㄉㄨㄛ2" + ], + "䐿": [ + "ㄠ4", + "ㄠ3" + ], + "䑀": [ + "ㄆㄧ4", + "ㄆㄧ3" + ], + "䑁": [ + "ㄨ4" + ], + "䑂": [ + "ㄞ3" + ], + "䑃": [ + "ㄇㄥ2" + ], + "䑄": [ + "ㄆㄧ4", + "ㄧ4" + ], + "䑅": [ + "ㄇㄥ2" + ], + "䑆": [ + "ㄧㄤ3" + ], + "䑇": [ + "ㄓ4" + ], + "䑈": [ + "ㄅㄛ2" + ], + "䑉": [ + "ㄧㄥ2" + ], + "䑊": [ + "ㄨㄟ2", + "ㄨㄟ4" + ], + "䑋": [ + "ㄖㄤ3" + ], + "䑌": [ + "ㄌㄢ2", + "ㄌㄢ4" + ], + "䑍": [ + "ㄧㄢ1", + "ㄧㄢ4", + "ㄧㄥ3" + ], + "䑎": [ + "ㄔㄢ3" + ], + "䑏": [ + "ㄑㄩㄢ2", + "ㄏㄨㄢ1" + ], + "䑐": [ + "ㄓㄣ3" + ], + "䑑": [ + "ㄆㄨ2" + ], + "䑓": [ + "ㄊㄞ2" + ], + "䑔": [ + "ㄈㄟ4" + ], + "䑕": [ + "ㄕㄨ3" + ], + "䑗": [ + "ㄉㄤ4" + ], + "䑘": [ + "ㄘㄨㄛ2" + ], + "䑙": [ + "ㄊㄢ1", + "ㄖㄢ2", + "ㄊㄧㄢ4" + ], + "䑚": [ + "ㄊㄧㄢ2" + ], + "䑛": [ + "ㄔ3" + ], + "䑜": [ + "ㄊㄚ4", + "ㄊㄧㄝ4" + ], + "䑝": [ + "ㄐㄧㄚ3" + ], + "䑞": [ + "ㄕㄨㄣ4" + ], + "䑟": [ + "ㄏㄨㄤ2" + ], + "䑠": [ + "ㄌㄧㄠ3" + ], + "䑣": [ + "ㄔㄣ1" + ], + "䑤": [ + "ㄐㄧㄣ4" + ], + "䑥": [ + "ㄜ4", + "ㄙㄚ4" + ], + "䑦": [ + "ㄍㄡ1" + ], + "䑧": [ + "ㄈㄨ2" + ], + "䑨": [ + "ㄉㄨㄛ4" + ], + "䑪": [ + "ㄜ4" + ], + "䑫": [ + "ㄅㄥ1" + ], + "䑬": [ + "ㄊㄠ1", + "ㄧㄠ4", + "ㄊㄧㄠ1" + ], + "䑭": [ + "ㄉㄧ4" + ], + "䑯": [ + "ㄉㄧ4" + ], + "䑰": [ + "ㄅㄨ4" + ], + "䑱": [ + "ㄨㄢ3" + ], + "䑲": [ + "ㄓㄠ4" + ], + "䑳": [ + "ㄌㄨㄣ2" + ], + "䑴": [ + "ㄑㄧ2" + ], + "䑵": [ + "ㄇㄨ4" + ], + "䑶": [ + "ㄑㄧㄢ4" + ], + "䑸": [ + "ㄗㄨㄥ1" + ], + "䑹": [ + "ㄙㄡ1", + "ㄙㄠ1" + ], + "䑻": [ + "ㄧㄡ2" + ], + "䑼": [ + "ㄓㄡ1" + ], + "䑽": [ + "ㄊㄚ4" + ], + "䑿": [ + "ㄙㄨ4" + ], + "䒀": [ + "ㄅㄨ4" + ], + "䒁": [ + "ㄒㄧ2" + ], + "䒂": [ + "ㄐㄧㄤ3" + ], + "䒃": [ + "ㄘㄠ4" + ], + "䒄": [ + "ㄈㄨ4" + ], + "䒅": [ + "ㄊㄥ2" + ], + "䒆": [ + "ㄔㄜ4" + ], + "䒇": [ + "ㄈㄨ4" + ], + "䒈": [ + "ㄈㄟ4" + ], + "䒉": [ + "ㄨ3" + ], + "䒊": [ + "ㄒㄧ1" + ], + "䒋": [ + "ㄧㄤ3" + ], + "䒌": [ + "ㄇㄧㄥ4" + ], + "䒍": [ + "ㄆㄤ3" + ], + "䒎": [ + "ㄇㄤ3" + ], + "䒏": [ + "ㄙㄥ1" + ], + "䒐": [ + "ㄇㄥ2", + "ㄇㄥ4" + ], + "䒑": [ + "ㄘㄠ3" + ], + "䒒": [ + "ㄊㄧㄠ2" + ], + "䒓": [ + "ㄎㄞ3" + ], + "䒔": [ + "ㄅㄞ4" + ], + "䒕": [ + "ㄒㄧㄠ3" + ], + "䒖": [ + "ㄒㄧㄣ4" + ], + "䒗": [ + "ㄑㄧ4" + ], + "䒚": [ + "ㄕㄠ3" + ], + "䒛": [ + "ㄏㄨㄢ4" + ], + "䒜": [ + "ㄋㄧㄡ2" + ], + "䒝": [ + "ㄒㄧㄠ2" + ], + "䒞": [ + "ㄔㄣ2", + "ㄧㄣ2" + ], + "䒟": [ + "ㄉㄢ1" + ], + "䒠": [ + "ㄈㄥ1", + "ㄒㄧㄚ2" + ], + "䒡": [ + "ㄧㄣ3" + ], + "䒢": [ + "ㄤ2" + ], + "䒣": [ + "ㄖㄢ3" + ], + "䒤": [ + "ㄖ4" + ], + "䒥": [ + "ㄇㄢ2" + ], + "䒦": [ + "ㄈㄢ4" + ], + "䒧": [ + "ㄑㄩ1", + "ㄑㄩ4" + ], + "䒨": [ + "ㄕ3", + "ㄙ4" + ], + "䒩": [ + "ㄏㄜ2" + ], + "䒪": [ + "ㄅㄧㄢ4" + ], + "䒫": [ + "ㄉㄞ4" + ], + "䒬": [ + "ㄇㄛ4" + ], + "䒭": [ + "ㄉㄥ3" + ], + "䒰": [ + "ㄎㄨㄤ1" + ], + "䒲": [ + "ㄔㄚ4" + ], + "䒳": [ + "ㄉㄨㄛ3" + ], + "䒴": [ + "ㄧㄡ3" + ], + "䒵": [ + "ㄏㄠ4" + ], + "䒷": [ + "ㄍㄨㄚ1" + ], + "䒸": [ + "ㄒㄩㄝ4" + ], + "䒹": [ + "ㄌㄟ4" + ], + "䒺": [ + "ㄐㄧㄣ3" + ], + "䒻": [ + "ㄑㄧ3" + ], + "䒼": [ + "ㄑㄩ1" + ], + "䒽": [ + "ㄨㄤ3" + ], + "䒾": [ + "ㄧ1" + ], + "䒿": [ + "ㄌㄧㄠ2" + ], + "䓂": [ + "ㄧㄢ2" + ], + "䓃": [ + "ㄧ4" + ], + "䓄": [ + "ㄧㄣ2" + ], + "䓅": [ + "ㄑㄧ2" + ], + "䓆": [ + "ㄓㄜ2" + ], + "䓇": [ + "ㄒㄧ4", + "ㄏㄜ4", + "ㄎㄜ4" + ], + "䓈": [ + "ㄧ4" + ], + "䓉": [ + "ㄧㄝ2", + "ㄧㄝ1" + ], + "䓊": [ + "ㄨ2", + "ㄩ2" + ], + "䓋": [ + "ㄓ1" + ], + "䓌": [ + "ㄓ4" + ], + "䓍": [ + "ㄏㄢ3" + ], + "䓎": [ + "ㄔㄨㄛ4" + ], + "䓏": [ + "ㄈㄨ1" + ], + "䓐": [ + "ㄔㄨㄣ2" + ], + "䓑": [ + "ㄆㄧㄥ2" + ], + "䓒": [ + "ㄎㄨㄞ3" + ], + "䓓": [ + "ㄔㄡ2" + ], + "䓕": [ + "ㄊㄨㄛ3" + ], + "䓖": [ + "ㄑㄩㄥ2" + ], + "䓗": [ + "ㄘㄨㄥ1" + ], + "䓘": [ + "ㄍㄠ1", + "ㄐㄧㄡ4" + ], + "䓙": [ + "ㄎㄨㄚ1", + "ㄍㄨㄞ1" + ], + "䓚": [ + "ㄑㄩ1", + "ㄘㄨ2" + ], + "䓛": [ + "ㄑㄩ1" + ], + "䓜": [ + "ㄓ1" + ], + "䓝": [ + "ㄇㄥ4" + ], + "䓞": [ + "ㄌㄧ4" + ], + "䓟": [ + "ㄓㄡ1", + "ㄌㄧㄝ4" + ], + "䓠": [ + "ㄊㄚ4" + ], + "䓡": [ + "ㄓ1" + ], + "䓢": [ + "ㄍㄨ4" + ], + "䓣": [ + "ㄌㄧㄤ3" + ], + "䓤": [ + "ㄏㄨ1" + ], + "䓥": [ + "ㄌㄚ4" + ], + "䓦": [ + "ㄉㄧㄢ3" + ], + "䓧": [ + "ㄘ4" + ], + "䓨": [ + "ㄧㄥ1" + ], + "䓫": [ + "ㄑㄧ2" + ], + "䓬": [ + "ㄓㄨㄛ2" + ], + "䓭": [ + "ㄔㄚ4" + ], + "䓮": [ + "ㄇㄠ4" + ], + "䓯": [ + "ㄉㄨ2" + ], + "䓰": [ + "ㄧㄣ1" + ], + "䓱": [ + "ㄔㄞ2", + "ㄗㄨㄟ1" + ], + "䓲": [ + "ㄖㄨㄟ4" + ], + "䓳": [ + "ㄏㄣ3", + "ㄒㄧㄝ2" + ], + "䓴": [ + "ㄖㄨㄢ3" + ], + "䓵": [ + "ㄈㄨ1" + ], + "䓶": [ + "ㄌㄞ4" + ], + "䓷": [ + "ㄒㄧㄥ4" + ], + "䓸": [ + "ㄐㄧㄢ1" + ], + "䓹": [ + "ㄧ4" + ], + "䓺": [ + "ㄇㄟ3" + ], + "䓼": [ + "ㄇㄤ2", + "ㄏㄜ4" + ], + "䓽": [ + "ㄐㄧ4" + ], + "䓾": [ + "ㄙㄨㄛ1" + ], + "䓿": [ + "ㄏㄢ4" + ], + "䔁": [ + "ㄌㄧ4" + ], + "䔂": [ + "ㄗ3", + "ㄗㄞ3" + ], + "䔃": [ + "ㄗㄨ3" + ], + "䔄": [ + "ㄧㄠ2", + "ㄧㄠ4" + ], + "䔅": [ + "ㄍㄜ1" + ], + "䔆": [ + "ㄌㄧ2" + ], + "䔇": [ + "ㄑㄧ3", + "ㄞ2" + ], + "䔈": [ + "ㄍㄨㄥ4" + ], + "䔉": [ + "ㄌㄧ4", + "ㄙㄨㄢ4" + ], + "䔊": [ + "ㄅㄧㄥ1" + ], + "䔋": [ + "ㄙㄨㄛ1" + ], + "䔎": [ + "ㄙㄨ4" + ], + "䔏": [ + "ㄔㄡ4" + ], + "䔐": [ + "ㄐㄧㄢ1" + ], + "䔑": [ + "ㄒㄧㄝ2", + "ㄧㄝ2", + "ㄊㄨ2" + ], + "䔒": [ + "ㄅㄟ4" + ], + "䔓": [ + "ㄒㄩ3" + ], + "䔔": [ + "ㄐㄧㄥ4" + ], + "䔕": [ + "ㄆㄨ2" + ], + "䔖": [ + "ㄌㄧㄥ2" + ], + "䔗": [ + "ㄒㄧㄤ2" + ], + "䔘": [ + "ㄗㄨㄛ4" + ], + "䔙": [ + "ㄉㄧㄠ4" + ], + "䔚": [ + "ㄔㄨㄣ2" + ], + "䔛": [ + "ㄑㄧㄥ3" + ], + "䔜": [ + "ㄋㄢ2" + ], + "䔝": [ + "ㄓㄞ1" + ], + "䔞": [ + "ㄌㄩ4" + ], + "䔟": [ + "ㄧ2" + ], + "䔠": [ + "ㄕㄠ3", + "ㄕㄠ1", + "ㄕㄨㄛ4" + ], + "䔡": [ + "ㄩ2" + ], + "䔢": [ + "ㄏㄨㄚ2" + ], + "䔣": [ + "ㄌㄧ2" + ], + "䔤": [ + "ㄆㄚ1" + ], + "䔧": [ + "ㄌㄧ2" + ], + "䔪": [ + "ㄕㄨㄤ3" + ], + "䔬": [ + "ㄧ4" + ], + "䔭": [ + "ㄋㄧㄥ4" + ], + "䔮": [ + "ㄙ1" + ], + "䔯": [ + "ㄎㄨ4" + ], + "䔰": [ + "ㄈㄨ4" + ], + "䔱": [ + "ㄧ1" + ], + "䔲": [ + "ㄉㄥ1", + "ㄔㄥ2" + ], + "䔳": [ + "ㄖㄢ2" + ], + "䔴": [ + "ㄘㄜ4", + "ㄘㄨㄟ4", + "ㄔㄨㄚ4" + ], + "䔶": [ + "ㄊㄧ2", + "ㄊㄞ2" + ], + "䔷": [ + "ㄑㄧㄣ2" + ], + "䔸": [ + "ㄅㄧㄠ3", + "ㄅㄧㄠ1" + ], + "䔹": [ + "ㄙㄨㄟ4" + ], + "䔺": [ + "ㄨㄟ2", + "ㄨㄟ3" + ], + "䔻": [ + "ㄉㄨㄣ1", + "ㄉㄨㄟ1" + ], + "䔼": [ + "ㄙㄜ4", + "ㄗㄜ2" + ], + "䔽": [ + "ㄞ4" + ], + "䔾": [ + "ㄑㄧ4", + "ㄜ4" + ], + "䔿": [ + "ㄗㄨㄣ3" + ], + "䕀": [ + "ㄎㄨㄢ3" + ], + "䕁": [ + "ㄈㄟ3" + ], + "䕃": [ + "ㄧㄣ4" + ], + "䕅": [ + "ㄙㄠ3" + ], + "䕆": [ + "ㄉㄡ4" + ], + "䕇": [ + "ㄏㄨㄟ4" + ], + "䕈": [ + "ㄒㄧㄝ4" + ], + "䕉": [ + "ㄗㄜ2" + ], + "䕊": [ + "ㄊㄢ2" + ], + "䕋": [ + "ㄊㄤ2" + ], + "䕌": [ + "ㄓ4" + ], + "䕍": [ + "ㄧ4" + ], + "䕎": [ + "ㄈㄨ2" + ], + "䕏": [ + "ㄜ2" + ], + "䕑": [ + "ㄐㄩㄣ4" + ], + "䕒": [ + "ㄐㄧㄚ1" + ], + "䕓": [ + "ㄔㄚ2", + "ㄔㄨㄟ4" + ], + "䕔": [ + "ㄒㄧㄢ2" + ], + "䕕": [ + "ㄇㄢ4" + ], + "䕗": [ + "ㄅㄧ4" + ], + "䕘": [ + "ㄌㄧㄥ2", + "ㄌㄧㄥ3" + ], + "䕙": [ + "ㄐㄧㄝ2" + ], + "䕚": [ + "ㄎㄨㄟ4" + ], + "䕛": [ + "ㄐㄧㄚ2" + ], + "䕝": [ + "ㄔㄥ1" + ], + "䕞": [ + "ㄌㄤ4" + ], + "䕟": [ + "ㄒㄧㄥ1" + ], + "䕠": [ + "ㄈㄟ4" + ], + "䕡": [ + "ㄌㄩ2" + ], + "䕢": [ + "ㄓㄚ3" + ], + "䕣": [ + "ㄏㄜ2" + ], + "䕤": [ + "ㄐㄧ1" + ], + "䕥": [ + "ㄋㄧ3" + ], + "䕦": [ + "ㄧㄥ2" + ], + "䕧": [ + "ㄒㄧㄠ4", + "ㄐㄧㄠ3" + ], + "䕨": [ + "ㄊㄥ2" + ], + "䕩": [ + "ㄌㄠ3" + ], + "䕪": [ + "ㄗㄜ2" + ], + "䕫": [ + "ㄎㄨㄟ2" + ], + "䕭": [ + "ㄑㄧㄢ2", + "ㄒㄧㄢ2" + ], + "䕮": [ + "ㄐㄩ2", + "ㄑㄩ1" + ], + "䕯": [ + "ㄆㄧㄠ2" + ], + "䕰": [ + "ㄈㄢ2" + ], + "䕱": [ + "ㄊㄡ2" + ], + "䕲": [ + "ㄌㄧㄣ3" + ], + "䕳": [ + "ㄇㄧ2" + ], + "䕴": [ + "ㄓㄨㄛ2" + ], + "䕵": [ + "ㄒㄧㄝ2" + ], + "䕶": [ + "ㄏㄨ4" + ], + "䕷": [ + "ㄇㄧ2" + ], + "䕸": [ + "ㄐㄧㄝ1" + ], + "䕹": [ + "ㄗㄚ2" + ], + "䕺": [ + "ㄘㄨㄥ2" + ], + "䕻": [ + "ㄌㄧ4" + ], + "䕼": [ + "ㄖㄢ2" + ], + "䕽": [ + "ㄓㄨ2" + ], + "䕾": [ + "ㄧㄣ2", + "ㄧㄢ2" + ], + "䕿": [ + "ㄏㄢ4" + ], + "䖁": [ + "ㄧ4" + ], + "䖂": [ + "ㄌㄨㄢ2" + ], + "䖃": [ + "ㄩㄝ4", + "ㄌㄚ3" + ], + "䖄": [ + "ㄖㄢ2" + ], + "䖅": [ + "ㄌㄧㄥ2" + ], + "䖆": [ + "ㄋㄧㄤ4" + ], + "䖇": [ + "ㄩ4" + ], + "䖈": [ + "ㄋㄩㄝ4" + ], + "䖊": [ + "ㄧ4" + ], + "䖋": [ + "ㄋㄩㄝ4" + ], + "䖌": [ + "ㄧ4" + ], + "䖍": [ + "ㄑㄧㄢ2" + ], + "䖎": [ + "ㄒㄧㄚ2" + ], + "䖏": [ + "ㄔㄨ3", + "ㄔㄨ4" + ], + "䖐": [ + "ㄧㄣ2" + ], + "䖑": [ + "ㄇㄧ4" + ], + "䖒": [ + "ㄒㄧ1" + ], + "䖓": [ + "ㄋㄚ4" + ], + "䖔": [ + "ㄎㄢ3", + "ㄏㄢ4" + ], + "䖕": [ + "ㄗㄨ3" + ], + "䖖": [ + "ㄒㄧㄚ2" + ], + "䖗": [ + "ㄧㄢ2" + ], + "䖘": [ + "ㄊㄨ2" + ], + "䖙": [ + "ㄊㄧ1" + ], + "䖚": [ + "ㄨ1" + ], + "䖛": [ + "ㄙㄨㄛ3" + ], + "䖜": [ + "ㄧㄣ2" + ], + "䖝": [ + "ㄔㄨㄥ2" + ], + "䖞": [ + "ㄓㄡ3" + ], + "䖟": [ + "ㄇㄤ3" + ], + "䖠": [ + "ㄩㄢ2" + ], + "䖡": [ + "ㄋㄩ4" + ], + "䖢": [ + "ㄇㄧㄠ2" + ], + "䖣": [ + "ㄗㄠ3" + ], + "䖤": [ + "ㄨㄢ3" + ], + "䖥": [ + "ㄌㄧ2" + ], + "䖦": [ + "ㄑㄩ1", + "ㄓㄨㄛ1" + ], + "䖧": [ + "ㄋㄚ4" + ], + "䖨": [ + "ㄕ2", + "ㄓ4" + ], + "䖩": [ + "ㄅㄧ4" + ], + "䖪": [ + "ㄗ1", + "ㄘ1" + ], + "䖫": [ + "ㄅㄤ4" + ], + "䖭": [ + "ㄐㄩㄢ4", + "ㄐㄩㄢ1" + ], + "䖮": [ + "ㄒㄧㄤ3" + ], + "䖯": [ + "ㄎㄨㄟ2", + "ㄨㄚ1" + ], + "䖰": [ + "ㄆㄞ4" + ], + "䖱": [ + "ㄎㄨㄤ1" + ], + "䖲": [ + "ㄒㄩㄣ2", + "ㄗㄨㄥ1" + ], + "䖳": [ + "ㄓㄚ4", + "ㄓㄜ2" + ], + "䖴": [ + "ㄧㄠ2" + ], + "䖵": [ + "ㄎㄨㄣ1" + ], + "䖶": [ + "ㄏㄨㄟ1" + ], + "䖷": [ + "ㄒㄧ1" + ], + "䖸": [ + "ㄜ2" + ], + "䖹": [ + "ㄧㄤ2", + "ㄇㄧ3" + ], + "䖺": [ + "ㄊㄧㄠ2" + ], + "䖻": [ + "ㄧㄡ2" + ], + "䖼": [ + "ㄐㄩㄝ2" + ], + "䖽": [ + "ㄌㄧ2" + ], + "䖿": [ + "ㄌㄧ2" + ], + "䗀": [ + "ㄔㄥ1" + ], + "䗁": [ + "ㄐㄧ4", + "ㄑㄧ1" + ], + "䗂": [ + "ㄏㄨ3" + ], + "䗃": [ + "ㄓㄢ4" + ], + "䗄": [ + "ㄈㄨ3" + ], + "䗅": [ + "ㄔㄤ2" + ], + "䗆": [ + "ㄍㄨㄢ3", + "ㄍㄨㄢ1" + ], + "䗇": [ + "ㄐㄩ2", + "ㄑㄩ1" + ], + "䗈": [ + "ㄇㄥ2" + ], + "䗉": [ + "ㄔㄤ1" + ], + "䗊": [ + "ㄊㄢ4" + ], + "䗋": [ + "ㄇㄡ2" + ], + "䗌": [ + "ㄒㄧㄥ1" + ], + "䗍": [ + "ㄌㄧ3", + "ㄌㄨㄛ2" + ], + "䗎": [ + "ㄧㄢ1" + ], + "䗏": [ + "ㄙㄡ1" + ], + "䗐": [ + "ㄕ1" + ], + "䗑": [ + "ㄧ4" + ], + "䗒": [ + "ㄅㄧㄥ4" + ], + "䗓": [ + "ㄘㄨㄥ1" + ], + "䗔": [ + "ㄏㄡ2", + "ㄏㄡ4" + ], + "䗕": [ + "ㄨㄢ3" + ], + "䗖": [ + "ㄉㄧ4" + ], + "䗗": [ + "ㄐㄧ1" + ], + "䗘": [ + "ㄍㄜ2" + ], + "䗙": [ + "ㄏㄢ2" + ], + "䗚": [ + "ㄅㄛ2" + ], + "䗛": [ + "ㄒㄧㄡ1" + ], + "䗜": [ + "ㄌㄧㄡ2" + ], + "䗝": [ + "ㄘㄢ2" + ], + "䗞": [ + "ㄘㄢ2" + ], + "䗟": [ + "ㄧ4" + ], + "䗠": [ + "ㄒㄩㄢ2" + ], + "䗡": [ + "ㄧㄢ2", + "ㄧㄢ1" + ], + "䗢": [ + "ㄗㄠ3" + ], + "䗣": [ + "ㄏㄢ4" + ], + "䗤": [ + "ㄩㄥ2" + ], + "䗥": [ + "ㄗㄨㄥ1" + ], + "䗧": [ + "ㄎㄤ1" + ], + "䗨": [ + "ㄩ2" + ], + "䗩": [ + "ㄑㄧ1" + ], + "䗪": [ + "ㄓㄜ4" + ], + "䗫": [ + "ㄇㄚ2" + ], + "䗮": [ + "ㄕㄨㄤ3" + ], + "䗯": [ + "ㄐㄧㄣ4" + ], + "䗰": [ + "ㄍㄨㄢ4" + ], + "䗱": [ + "ㄆㄨ2", + "ㄆㄨ4", + "ㄆㄨ3" + ], + "䗲": [ + "ㄌㄧㄣ4" + ], + "䗴": [ + "ㄊㄧㄥ2" + ], + "䗵": [ + "ㄐㄧㄤ1" + ], + "䗶": [ + "ㄌㄚ4" + ], + "䗷": [ + "ㄧ4" + ], + "䗸": [ + "ㄩㄥ1" + ], + "䗹": [ + "ㄘ4" + ], + "䗺": [ + "ㄧㄢ3", + "ㄉㄢ4" + ], + "䗻": [ + "ㄐㄧㄝ2" + ], + "䗼": [ + "ㄒㄩㄣ1" + ], + "䗽": [ + "ㄨㄟ4" + ], + "䗾": [ + "ㄒㄧㄢ3" + ], + "䗿": [ + "ㄋㄧㄥ2", + "ㄋㄧㄥ3" + ], + "䘀": [ + "ㄈㄨ4" + ], + "䘁": [ + "ㄍㄜ2" + ], + "䘃": [ + "ㄇㄛ4" + ], + "䘄": [ + "ㄓㄨ4" + ], + "䘅": [ + "ㄋㄞ2" + ], + "䘆": [ + "ㄒㄧㄢ3" + ], + "䘇": [ + "ㄨㄣ2" + ], + "䘈": [ + "ㄌㄧ4" + ], + "䘉": [ + "ㄘㄢ2" + ], + "䘊": [ + "ㄇㄧㄝ4" + ], + "䘋": [ + "ㄐㄧㄢ1" + ], + "䘌": [ + "ㄋㄧ4" + ], + "䘍": [ + "ㄔㄞ4" + ], + "䘎": [ + "ㄨㄢ1" + ], + "䘏": [ + "ㄒㄩ4" + ], + "䘐": [ + "ㄋㄩ4" + ], + "䘑": [ + "ㄇㄞ4" + ], + "䘒": [ + "ㄗㄨㄟ1" + ], + "䘓": [ + "ㄎㄢ4" + ], + "䘔": [ + "ㄎㄚ1" + ], + "䘕": [ + "ㄏㄤ2" + ], + "䘘": [ + "ㄩ4", + "ㄙㄨ4" + ], + "䘙": [ + "ㄨㄟ4" + ], + "䘚": [ + "ㄓㄨ2" + ], + "䘝": [ + "ㄧ4" + ], + "䘟": [ + "ㄉㄧㄠ1" + ], + "䘠": [ + "ㄈㄨ2" + ], + "䘡": [ + "ㄅㄧ3" + ], + "䘢": [ + "ㄓㄨ3" + ], + "䘣": [ + "ㄗ3", + "ㄓ4" + ], + "䘤": [ + "ㄕㄨ4" + ], + "䘥": [ + "ㄒㄧㄚ2", + "ㄐㄧㄚ2" + ], + "䘦": [ + "ㄋㄧ2", + "ㄋㄧ3" + ], + "䘨": [ + "ㄐㄧㄠ3" + ], + "䘩": [ + "ㄒㄩㄣ2", + "ㄒㄩㄢ4" + ], + "䘪": [ + "ㄔㄨㄥ1" + ], + "䘫": [ + "ㄋㄡ4" + ], + "䘬": [ + "ㄖㄨㄥ2" + ], + "䘭": [ + "ㄓ4" + ], + "䘮": [ + "ㄙㄤ1", + "ㄙㄤ4" + ], + "䘰": [ + "ㄕㄢ1" + ], + "䘱": [ + "ㄩ4" + ], + "䘳": [ + "ㄐㄧㄣ1" + ], + "䘵": [ + "ㄌㄨ4" + ], + "䘶": [ + "ㄏㄢ1", + "ㄏㄢ4" + ], + "䘷": [ + "ㄅㄧㄝ1" + ], + "䘸": [ + "ㄧ4" + ], + "䘹": [ + "ㄗㄨㄟ4", + "ㄘㄨㄟ4" + ], + "䘺": [ + "ㄓㄢ4" + ], + "䘻": [ + "ㄩ4" + ], + "䘼": [ + "ㄨㄢ3" + ], + "䘽": [ + "ㄋㄧ2" + ], + "䘾": [ + "ㄍㄨㄢ3", + "ㄍㄨㄢ4" + ], + "䘿": [ + "ㄐㄩㄝ2" + ], + "䙀": [ + "ㄅㄥ3" + ], + "䙁": [ + "ㄘㄢ2" + ], + "䙃": [ + "ㄉㄨㄛ4" + ], + "䙄": [ + "ㄑㄧ4", + "ㄓㄚ3" + ], + "䙅": [ + "ㄧㄠ1", + "ㄧㄠ4" + ], + "䙆": [ + "ㄎㄨㄟ4" + ], + "䙇": [ + "ㄖㄨㄢ2", + "ㄋㄨㄢ3" + ], + "䙈": [ + "ㄏㄡ2" + ], + "䙉": [ + "ㄒㄩㄣ2" + ], + "䙊": [ + "ㄒㄧㄝ4" + ], + "䙌": [ + "ㄎㄨㄟ4" + ], + "䙎": [ + "ㄒㄧㄝ2", + "ㄒㄧ4" + ], + "䙏": [ + "ㄅㄛ2" + ], + "䙐": [ + "ㄎㄜ4" + ], + "䙑": [ + "ㄘㄨㄟ1" + ], + "䙒": [ + "ㄒㄩ4" + ], + "䙓": [ + "ㄅㄞ3" + ], + "䙔": [ + "ㄡ1" + ], + "䙕": [ + "ㄗㄨㄥ3" + ], + "䙗": [ + "ㄊㄧ4" + ], + "䙘": [ + "ㄔㄨ3", + "ㄗㄨ2" + ], + "䙙": [ + "ㄔ2" + ], + "䙚": [ + "ㄋㄧㄠ3" + ], + "䙛": [ + "ㄍㄨㄢ4" + ], + "䙜": [ + "ㄈㄥ2" + ], + "䙝": [ + "ㄒㄧㄝ4" + ], + "䙞": [ + "ㄉㄥ1" + ], + "䙟": [ + "ㄨㄟ2" + ], + "䙠": [ + "ㄐㄩㄝ2" + ], + "䙡": [ + "ㄎㄨㄟ4", + "ㄏㄨㄟ4" + ], + "䙢": [ + "ㄗㄥ4" + ], + "䙣": [ + "ㄙㄚ4" + ], + "䙤": [ + "ㄉㄨㄛ3" + ], + "䙥": [ + "ㄌㄧㄥ2" + ], + "䙦": [ + "ㄇㄥ2" + ], + "䙨": [ + "ㄍㄨㄛ3" + ], + "䙩": [ + "ㄇㄥ2" + ], + "䙪": [ + "ㄌㄨㄥ2" + ], + "䙬": [ + "ㄧㄥ4" + ], + "䙮": [ + "ㄍㄨㄢ4" + ], + "䙯": [ + "ㄘㄨ4" + ], + "䙰": [ + "ㄌㄧ2" + ], + "䙱": [ + "ㄉㄨ2" + ], + "䙳": [ + "ㄅㄧㄠ1", + "ㄜ4" + ], + "䙴": [ + "ㄑㄧㄢ1" + ], + "䙵": [ + "ㄒㄧ1" + ], + "䙷": [ + "ㄉㄜ2" + ], + "䙸": [ + "ㄉㄜ2" + ], + "䙹": [ + "ㄒㄧㄢ4" + ], + "䙺": [ + "ㄌㄧㄢ2" + ], + "䙼": [ + "ㄕㄠ4", + "ㄐㄧㄠ1" + ], + "䙽": [ + "ㄒㄧㄝ2" + ], + "䙾": [ + "ㄕ1" + ], + "䙿": [ + "ㄨㄟ4" + ], + "䚂": [ + "ㄏㄜ4" + ], + "䚃": [ + "ㄧㄡ2" + ], + "䚄": [ + "ㄌㄨ4" + ], + "䚅": [ + "ㄌㄞ4", + "ㄌㄞ2" + ], + "䚆": [ + "ㄧㄥ3" + ], + "䚇": [ + "ㄕㄥ3" + ], + "䚈": [ + "ㄐㄩㄢ4" + ], + "䚉": [ + "ㄑㄧ4" + ], + "䚊": [ + "ㄐㄧㄢ3" + ], + "䚋": [ + "ㄩㄣ4" + ], + "䚍": [ + "ㄑㄧ4" + ], + "䚏": [ + "ㄌㄧㄣ4" + ], + "䚐": [ + "ㄐㄧ2" + ], + "䚑": [ + "ㄇㄞ2" + ], + "䚒": [ + "ㄔㄨㄤ2", + "ㄓㄨㄤ4" + ], + "䚓": [ + "ㄋㄧㄢ3" + ], + "䚔": [ + "ㄅㄧㄣ1" + ], + "䚕": [ + "ㄌㄧ4" + ], + "䚖": [ + "ㄌㄧㄥ2" + ], + "䚗": [ + "ㄍㄤ1" + ], + "䚘": [ + "ㄔㄥ2" + ], + "䚙": [ + "ㄒㄩㄢ1", + "ㄒㄧ1" + ], + "䚚": [ + "ㄒㄧㄢ3" + ], + "䚛": [ + "ㄏㄨ2" + ], + "䚜": [ + "ㄅㄧ1", + "ㄅㄟ1" + ], + "䚝": [ + "ㄗㄨ2" + ], + "䚞": [ + "ㄉㄞ3" + ], + "䚟": [ + "ㄉㄞ3" + ], + "䚠": [ + "ㄏㄨㄣ4", + "ㄏㄨㄣ2" + ], + "䚡": [ + "ㄙㄞ1" + ], + "䚢": [ + "ㄔㄜ4" + ], + "䚣": [ + "ㄊㄧ2" + ], + "䚥": [ + "ㄋㄨㄛ4", + "ㄖㄨㄛ4" + ], + "䚦": [ + "ㄓ4" + ], + "䚧": [ + "ㄌㄧㄡ2" + ], + "䚨": [ + "ㄈㄟ4" + ], + "䚩": [ + "ㄐㄧㄠ3", + "ㄐㄧㄠ4", + "ㄑㄧㄠ2" + ], + "䚪": [ + "ㄍㄨㄢ1" + ], + "䚫": [ + "ㄒㄧ2", + "ㄠ2" + ], + "䚬": [ + "ㄌㄧㄣ2" + ], + "䚭": [ + "ㄒㄩㄢ1" + ], + "䚮": [ + "ㄖㄥ2" + ], + "䚯": [ + "ㄊㄠ3", + "ㄒㄩㄢ1" + ], + "䚰": [ + "ㄆㄧ3", + "ㄜ2" + ], + "䚱": [ + "ㄒㄧㄣ4" + ], + "䚲": [ + "ㄕㄢ4" + ], + "䚳": [ + "ㄓ4" + ], + "䚴": [ + "ㄨㄚ4" + ], + "䚵": [ + "ㄊㄡ3" + ], + "䚶": [ + "ㄊㄧㄢ1" + ], + "䚷": [ + "ㄧ1", + "ㄧ3", + "ㄒㄧ4" + ], + "䚸": [ + "ㄒㄧㄝ4" + ], + "䚹": [ + "ㄆㄧ3" + ], + "䚺": [ + "ㄧㄠ2" + ], + "䚻": [ + "ㄧㄠ2", + "ㄧㄡ2" + ], + "䚼": [ + "ㄋㄩ4" + ], + "䚽": [ + "ㄏㄠ4" + ], + "䚾": [ + "ㄖㄣ2", + "ㄋㄧㄣ2" + ], + "䚿": [ + "ㄧㄣ4", + "ㄒㄧ1" + ], + "䛀": [ + "ㄈㄢ3", + "ㄈㄢ4", + "ㄅㄢ4" + ], + "䛁": [ + "ㄋㄢ2" + ], + "䛂": [ + "ㄧㄠ1" + ], + "䛃": [ + "ㄨㄢ4" + ], + "䛄": [ + "ㄩㄢ3" + ], + "䛅": [ + "ㄒㄧㄚ2" + ], + "䛆": [ + "ㄓㄡ4" + ], + "䛇": [ + "ㄩㄢ3" + ], + "䛈": [ + "ㄕ4" + ], + "䛉": [ + "ㄇㄧㄢ4" + ], + "䛊": [ + "ㄒㄧ1", + "ㄓ1" + ], + "䛋": [ + "ㄐㄧ4" + ], + "䛌": [ + "ㄊㄠ2", + "ㄆㄠ2" + ], + "䛍": [ + "ㄈㄟ4" + ], + "䛎": [ + "ㄒㄩㄝ4" + ], + "䛏": [ + "ㄋㄧ2", + "ㄋㄧ3", + "ㄋㄧ4" + ], + "䛐": [ + "ㄘ2" + ], + "䛑": [ + "ㄇㄧ4" + ], + "䛒": [ + "ㄅㄧㄢ4" + ], + "䛔": [ + "ㄋㄚ2" + ], + "䛕": [ + "ㄩ4" + ], + "䛖": [ + "ㄜ4" + ], + "䛗": [ + "ㄓ3" + ], + "䛘": [ + "ㄖㄣ2", + "ㄋㄧㄣ2" + ], + "䛙": [ + "ㄒㄩ4" + ], + "䛚": [ + "ㄌㄩㄝ4" + ], + "䛛": [ + "ㄏㄨㄟ4" + ], + "䛜": [ + "ㄒㄩㄣ4" + ], + "䛝": [ + "ㄋㄠ2" + ], + "䛞": [ + "ㄏㄢ4" + ], + "䛟": [ + "ㄐㄧㄚ2" + ], + "䛠": [ + "ㄉㄡ4" + ], + "䛡": [ + "ㄏㄨㄚ4" + ], + "䛢": [ + "ㄊㄨ1" + ], + "䛣": [ + "ㄆㄧㄥ1", + "ㄔㄡ1" + ], + "䛤": [ + "ㄘㄨ4" + ], + "䛥": [ + "ㄒㄧ1", + "ㄒㄧ4", + "ㄒㄧㄣ1" + ], + "䛦": [ + "ㄙㄨㄥ4" + ], + "䛧": [ + "ㄇㄧ2" + ], + "䛨": [ + "ㄒㄧㄣ4" + ], + "䛩": [ + "ㄨ4", + "ㄑㄧㄚ4", + "ㄜ4" + ], + "䛪": [ + "ㄑㄩㄥ2" + ], + "䛫": [ + "ㄓㄤ1", + "ㄓㄥ4" + ], + "䛬": [ + "ㄊㄠ2" + ], + "䛭": [ + "ㄒㄧㄥ4" + ], + "䛮": [ + "ㄐㄧㄡ4" + ], + "䛯": [ + "ㄐㄩ4" + ], + "䛰": [ + "ㄏㄨㄣ4" + ], + "䛱": [ + "ㄊㄧ2" + ], + "䛲": [ + "ㄇㄢ2" + ], + "䛳": [ + "ㄧㄢ4", + "ㄧㄢ1" + ], + "䛴": [ + "ㄐㄧ1", + "ㄑㄧ3" + ], + "䛵": [ + "ㄕㄡ4" + ], + "䛶": [ + "ㄌㄟ3" + ], + "䛷": [ + "ㄨㄢ3" + ], + "䛸": [ + "ㄔㄜ4" + ], + "䛹": [ + "ㄘㄢ4", + "ㄒㄩㄢ4" + ], + "䛺": [ + "ㄐㄧㄝ4" + ], + "䛻": [ + "ㄧㄡ4" + ], + "䛼": [ + "ㄏㄨㄟ3" + ], + "䛽": [ + "ㄓㄚ3", + "ㄔㄚ1", + "ㄙㄚ4" + ], + "䛾": [ + "ㄙㄨ4" + ], + "䛿": [ + "ㄍㄜ2" + ], + "䜀": [ + "ㄋㄠ3" + ], + "䜁": [ + "ㄒㄧ4" + ], + "䜃": [ + "ㄉㄨㄟ1" + ], + "䜄": [ + "ㄔ2" + ], + "䜅": [ + "ㄨㄟ2", + "ㄔㄨㄟ1" + ], + "䜆": [ + "ㄓㄜ2", + "ㄋㄧㄝ4", + "ㄇㄛ4" + ], + "䜇": [ + "ㄍㄨㄣ3", + "ㄍㄨㄣ4" + ], + "䜈": [ + "ㄔㄠ1", + "ㄓㄠ1" + ], + "䜉": [ + "ㄔ1" + ], + "䜊": [ + "ㄗㄠ1", + "ㄗㄠ4" + ], + "䜋": [ + "ㄏㄨㄟ4" + ], + "䜌": [ + "ㄌㄨㄢ2" + ], + "䜍": [ + "ㄌㄧㄠ2" + ], + "䜎": [ + "ㄌㄠ2", + "ㄌㄠ4" + ], + "䜏": [ + "ㄊㄨㄛ1" + ], + "䜐": [ + "ㄏㄨㄟ1" + ], + "䜑": [ + "ㄨ4" + ], + "䜒": [ + "ㄠ4" + ], + "䜓": [ + "ㄕㄜ4" + ], + "䜔": [ + "ㄙㄨㄟ2" + ], + "䜕": [ + "ㄇㄞ4", + "ㄏㄞ4" + ], + "䜖": [ + "ㄊㄢ4" + ], + "䜗": [ + "ㄒㄧㄣ4", + "ㄏㄢ4" + ], + "䜘": [ + "ㄐㄧㄥ3" + ], + "䜙": [ + "ㄢ2", + "ㄜ4" + ], + "䜚": [ + "ㄊㄚ4" + ], + "䜛": [ + "ㄔㄢ2" + ], + "䜜": [ + "ㄨㄟ4" + ], + "䜝": [ + "ㄊㄨㄢ3" + ], + "䜞": [ + "ㄐㄧ4" + ], + "䜟": [ + "ㄔㄣ2" + ], + "䜠": [ + "ㄔㄜ4" + ], + "䜡": [ + "ㄩ4" + ], + "䜢": [ + "ㄒㄧㄢ3" + ], + "䜣": [ + "ㄒㄧㄣ1" + ], + "䜧": [ + "ㄋㄠ3" + ], + "䜩": [ + "ㄧㄢ4" + ], + "䜪": [ + "ㄑㄧㄡ2" + ], + "䜫": [ + "ㄐㄧㄤ1", + "ㄏㄨㄥ2" + ], + "䜬": [ + "ㄙㄨㄥ3" + ], + "䜭": [ + "ㄐㄩㄣ4", + "ㄖㄨㄟ4" + ], + "䜮": [ + "ㄌㄧㄠ2", + "ㄌㄠ2" + ], + "䜯": [ + "ㄐㄩ2" + ], + "䜱": [ + "ㄇㄢ3" + ], + "䜲": [ + "ㄌㄧㄝ4" + ], + "䜴": [ + "ㄔㄨ4", + "ㄕ4" + ], + "䜵": [ + "ㄔ3" + ], + "䜶": [ + "ㄒㄧㄤ2" + ], + "䜷": [ + "ㄑㄧㄣ1" + ], + "䜸": [ + "ㄇㄟ3", + "ㄇㄟ2" + ], + "䜹": [ + "ㄕㄨ4" + ], + "䜺": [ + "ㄔㄞ3", + "ㄘㄜ4" + ], + "䜻": [ + "ㄔ3" + ], + "䜼": [ + "ㄍㄨ2", + "ㄇㄡ2" + ], + "䜽": [ + "ㄩ2" + ], + "䜾": [ + "ㄧㄣ1" + ], + "䝀": [ + "ㄌㄧㄡ2", + "ㄌㄧㄠ2" + ], + "䝁": [ + "ㄌㄠ2" + ], + "䝂": [ + "ㄕㄨ4" + ], + "䝃": [ + "ㄓㄜ2" + ], + "䝄": [ + "ㄕㄨㄤ1" + ], + "䝅": [ + "ㄏㄨㄟ1" + ], + "䝈": [ + "ㄜ4" + ], + "䝊": [ + "ㄕㄚ4" + ], + "䝋": [ + "ㄗㄨㄥ4" + ], + "䝌": [ + "ㄐㄩㄝ2" + ], + "䝍": [ + "ㄐㄩㄣ4", + "ㄐㄩㄣ1" + ], + "䝎": [ + "ㄊㄨㄢ1" + ], + "䝏": [ + "ㄌㄡ2" + ], + "䝐": [ + "ㄨㄟ2", + "ㄉㄨㄛ4" + ], + "䝑": [ + "ㄔㄨㄥ1" + ], + "䝒": [ + "ㄓㄨ4" + ], + "䝓": [ + "ㄌㄧㄝ4" + ], + "䝕": [ + "ㄓㄜ2" + ], + "䝖": [ + "ㄓㄠ3" + ], + "䝘": [ + "ㄧ4" + ], + "䝙": [ + "ㄔㄨ1" + ], + "䝚": [ + "ㄋㄧ2" + ], + "䝛": [ + "ㄅㄛ1" + ], + "䝜": [ + "ㄙㄨㄢ1" + ], + "䝝": [ + "ㄧ3" + ], + "䝞": [ + "ㄏㄠ4" + ], + "䝟": [ + "ㄧㄚ4" + ], + "䝠": [ + "ㄏㄨㄢ2" + ], + "䝡": [ + "ㄇㄢ4" + ], + "䝢": [ + "ㄇㄢ4" + ], + "䝣": [ + "ㄑㄩ2" + ], + "䝤": [ + "ㄌㄠ3", + "ㄌㄧㄠ2" + ], + "䝥": [ + "ㄏㄠ2" + ], + "䝦": [ + "ㄓㄨㄥ1" + ], + "䝧": [ + "ㄇㄧㄣ2" + ], + "䝨": [ + "ㄒㄧㄢ2" + ], + "䝩": [ + "ㄓㄣ4" + ], + "䝪": [ + "ㄕㄨ3" + ], + "䝫": [ + "ㄗㄨㄛ2" + ], + "䝬": [ + "ㄓㄨ4" + ], + "䝭": [ + "ㄍㄡ4" + ], + "䝮": [ + "ㄒㄩㄢ4" + ], + "䝯": [ + "ㄧ4" + ], + "䝰": [ + "ㄓ4" + ], + "䝱": [ + "ㄒㄧㄝ2" + ], + "䝲": [ + "ㄐㄧㄣ4" + ], + "䝳": [ + "ㄘㄢ2", + "ㄏㄞ4" + ], + "䝵": [ + "ㄅㄨ4" + ], + "䝶": [ + "ㄌㄧㄤ2" + ], + "䝷": [ + "ㄓ1", + "ㄓ4" + ], + "䝸": [ + "ㄐㄧ4" + ], + "䝹": [ + "ㄨㄢ3" + ], + "䝺": [ + "ㄍㄨㄢ4" + ], + "䝻": [ + "ㄐㄩ1" + ], + "䝼": [ + "ㄐㄧㄥ4", + "ㄑㄧㄥ2" + ], + "䝽": [ + "ㄞ4" + ], + "䝾": [ + "ㄈㄨ4" + ], + "䝿": [ + "ㄍㄨㄟ4" + ], + "䞀": [ + "ㄏㄡ4" + ], + "䞁": [ + "ㄧㄢ4" + ], + "䞂": [ + "ㄖㄨㄢ3" + ], + "䞃": [ + "ㄓ4" + ], + "䞄": [ + "ㄅㄧㄠ4" + ], + "䞅": [ + "ㄧ2" + ], + "䞆": [ + "ㄙㄨㄛ3" + ], + "䞇": [ + "ㄉㄧㄝ2" + ], + "䞈": [ + "ㄍㄨㄟ4" + ], + "䞉": [ + "ㄕㄥ4" + ], + "䞊": [ + "ㄒㄩㄣ4" + ], + "䞋": [ + "ㄔㄣ4" + ], + "䞌": [ + "ㄕㄜ2" + ], + "䞍": [ + "ㄑㄧㄥ2" + ], + "䞐": [ + "ㄔㄨㄣ3" + ], + "䞑": [ + "ㄏㄨㄥ2" + ], + "䞒": [ + "ㄉㄨㄥ4" + ], + "䞓": [ + "ㄔㄥ1" + ], + "䞔": [ + "ㄨㄟ3" + ], + "䞕": [ + "ㄖㄨ2", + "ㄩ2" + ], + "䞖": [ + "ㄕㄨ3" + ], + "䞗": [ + "ㄘㄞ1", + "ㄔㄞ1" + ], + "䞘": [ + "ㄐㄧ2" + ], + "䞙": [ + "ㄗㄚ2" + ], + "䞚": [ + "ㄑㄧ2", + "ㄎㄨㄟ2" + ], + "䞛": [ + "ㄧㄢ1" + ], + "䞜": [ + "ㄈㄨ4" + ], + "䞝": [ + "ㄩ4" + ], + "䞞": [ + "ㄈㄨ2" + ], + "䞟": [ + "ㄆㄛ4" + ], + "䞠": [ + "ㄓ1" + ], + "䞡": [ + "ㄊㄢ3" + ], + "䞢": [ + "ㄗㄨㄛ2" + ], + "䞣": [ + "ㄔㄜ3", + "ㄔㄜ4", + "ㄑㄧㄝ4" + ], + "䞤": [ + "ㄑㄩ2", + "ㄈㄨ3", + "ㄑㄩ3" + ], + "䞥": [ + "ㄧㄡ4" + ], + "䞦": [ + "ㄏㄜ2" + ], + "䞧": [ + "ㄏㄡ4" + ], + "䞨": [ + "ㄍㄨㄟ3" + ], + "䞩": [ + "ㄜ4", + "ㄒㄧㄚ2" + ], + "䞪": [ + "ㄐㄧㄤ4" + ], + "䞫": [ + "ㄩㄣ3" + ], + "䞬": [ + "ㄊㄡ4" + ], + "䞭": [ + "ㄘㄨㄣ1", + "ㄑㄧㄡ3" + ], + "䞮": [ + "ㄊㄨ1" + ], + "䞯": [ + "ㄈㄨ4", + "ㄈㄨ2" + ], + "䞰": [ + "ㄗㄨㄛ2" + ], + "䞱": [ + "ㄏㄨ2" + ], + "䞳": [ + "ㄅㄛ2" + ], + "䞴": [ + "ㄓㄠ1" + ], + "䞵": [ + "ㄐㄩㄝ3", + "ㄓㄨㄛ4" + ], + "䞶": [ + "ㄊㄤ1", + "ㄊㄤ4" + ], + "䞷": [ + "ㄐㄩㄝ2" + ], + "䞸": [ + "ㄈㄨ4" + ], + "䞹": [ + "ㄏㄨㄤ2" + ], + "䞺": [ + "ㄔㄨㄣ1" + ], + "䞻": [ + "ㄩㄥ3" + ], + "䞼": [ + "ㄔㄨㄟ3" + ], + "䞽": [ + "ㄙㄨㄛ3" + ], + "䞾": [ + "ㄔ2", + "ㄉㄧ4" + ], + "䞿": [ + "ㄑㄧㄢ1" + ], + "䟀": [ + "ㄘㄞ1" + ], + "䟁": [ + "ㄒㄧㄠ1", + "ㄔㄠ1" + ], + "䟂": [ + "ㄇㄢ2" + ], + "䟃": [ + "ㄘㄢ1", + "ㄘㄚ4" + ], + "䟄": [ + "ㄑㄧ4", + "ㄗㄨㄛ2", + "ㄗㄜ4" + ], + "䟅": [ + "ㄐㄧㄢ4", + "ㄗㄢ4" + ], + "䟆": [ + "ㄅㄧ4" + ], + "䟇": [ + "ㄐㄧ1", + "ㄒㄧ1" + ], + "䟈": [ + "ㄓ2" + ], + "䟉": [ + "ㄓㄨ2", + "ㄕㄨ3" + ], + "䟊": [ + "ㄑㄩ2" + ], + "䟋": [ + "ㄓㄢ3" + ], + "䟌": [ + "ㄐㄧ2" + ], + "䟍": [ + "ㄅㄧㄢ1", + "ㄉㄧㄢ2" + ], + "䟏": [ + "ㄌㄧ4" + ], + "䟐": [ + "ㄌㄧ4" + ], + "䟑": [ + "ㄩㄝ4" + ], + "䟒": [ + "ㄑㄩㄢ2" + ], + "䟓": [ + "ㄔㄥ1", + "ㄓㄥ1", + "ㄉㄧㄥ1" + ], + "䟔": [ + "ㄈㄨ4", + "ㄅㄛ2" + ], + "䟕": [ + "ㄔㄚ4" + ], + "䟖": [ + "ㄊㄤ4" + ], + "䟗": [ + "ㄕ4" + ], + "䟘": [ + "ㄏㄤ4" + ], + "䟙": [ + "ㄑㄧㄝ4" + ], + "䟚": [ + "ㄑㄧ2" + ], + "䟛": [ + "ㄅㄛ2", + "ㄈㄟ4", + "ㄅㄟ4" + ], + "䟜": [ + "ㄋㄚ4" + ], + "䟝": [ + "ㄊㄡ4" + ], + "䟞": [ + "ㄔㄨ2" + ], + "䟟": [ + "ㄘㄨ4" + ], + "䟠": [ + "ㄩㄝ4" + ], + "䟡": [ + "ㄓ1", + "ㄉㄧ4" + ], + "䟢": [ + "ㄔㄣ2" + ], + "䟣": [ + "ㄔㄨ4" + ], + "䟤": [ + "ㄅㄧ4", + "ㄅㄧㄝ2" + ], + "䟥": [ + "ㄇㄥ2" + ], + "䟦": [ + "ㄅㄚ2" + ], + "䟧": [ + "ㄊㄧㄢ2" + ], + "䟨": [ + "ㄇㄧㄣ2", + "ㄇㄧㄣ3" + ], + "䟩": [ + "ㄌㄧㄝ3", + "ㄑㄩㄝ4" + ], + "䟪": [ + "ㄈㄥ3", + "ㄈㄢ3" + ], + "䟫": [ + "ㄔㄥ1", + "ㄕㄤ4" + ], + "䟬": [ + "ㄑㄧㄡ4" + ], + "䟭": [ + "ㄊㄧㄠ2", + "ㄗㄨㄛ4" + ], + "䟮": [ + "ㄈㄨ2", + "ㄅㄛ2" + ], + "䟯": [ + "ㄎㄨㄛ4" + ], + "䟰": [ + "ㄐㄧㄢ3" + ], + "䟴": [ + "ㄓㄣ4" + ], + "䟵": [ + "ㄑㄧㄡ2" + ], + "䟶": [ + "ㄗㄨㄛ4", + "ㄘㄨㄛ4" + ], + "䟷": [ + "ㄔ4", + "ㄑㄧ4" + ], + "䟸": [ + "ㄎㄨㄟ2", + "ㄍㄨㄟ1" + ], + "䟹": [ + "ㄌㄧㄝ4" + ], + "䟺": [ + "ㄅㄟ4", + "ㄆㄟ4" + ], + "䟻": [ + "ㄉㄨ4", + "ㄓㄚ4" + ], + "䟼": [ + "ㄨ3" + ], + "䟾": [ + "ㄓㄨㄛ2", + "ㄐㄩㄝ3" + ], + "䟿": [ + "ㄌㄨ4" + ], + "䠀": [ + "ㄊㄤ1", + "ㄔㄤ3", + "ㄊㄤ4" + ], + "䠂": [ + "ㄔㄨ2" + ], + "䠃": [ + "ㄌㄧㄤ3" + ], + "䠄": [ + "ㄊㄧㄢ3" + ], + "䠅": [ + "ㄎㄨㄣ3" + ], + "䠆": [ + "ㄔㄤ2" + ], + "䠇": [ + "ㄐㄩㄝ2" + ], + "䠈": [ + "ㄊㄨ2" + ], + "䠉": [ + "ㄏㄨㄢ4" + ], + "䠊": [ + "ㄈㄟ4" + ], + "䠋": [ + "ㄅㄧ4", + "ㄅㄧ3", + "ㄅㄞ1" + ], + "䠍": [ + "ㄒㄧㄚ1", + "ㄑㄧㄚ2", + "ㄑㄧㄝ2" + ], + "䠎": [ + "ㄨㄛ4" + ], + "䠏": [ + "ㄐㄧ4", + "ㄎㄨㄟ2" + ], + "䠐": [ + "ㄑㄩ4" + ], + "䠑": [ + "ㄎㄨㄟ3", + "ㄎㄨㄟ2", + "ㄨㄟ3" + ], + "䠒": [ + "ㄏㄨ2" + ], + "䠓": [ + "ㄑㄧㄡ1", + "ㄘㄨ4" + ], + "䠔": [ + "ㄙㄨㄟ4" + ], + "䠕": [ + "ㄘㄞ1" + ], + "䠗": [ + "ㄑㄧㄡ4", + "ㄒㄩㄥ4" + ], + "䠘": [ + "ㄆㄧ4" + ], + "䠙": [ + "ㄆㄤ2" + ], + "䠚": [ + "ㄨㄚ4", + "ㄨㄚ3" + ], + "䠛": [ + "ㄧㄠ2" + ], + "䠜": [ + "ㄖㄨㄥ2", + "ㄖㄨㄥ3" + ], + "䠝": [ + "ㄒㄩㄣ1" + ], + "䠞": [ + "ㄘㄨ4" + ], + "䠟": [ + "ㄉㄧㄝ2" + ], + "䠠": [ + "ㄔ4", + "ㄉㄞ4" + ], + "䠡": [ + "ㄘㄨㄛ2", + "ㄔㄚ2" + ], + "䠢": [ + "ㄇㄥ4" + ], + "䠣": [ + "ㄒㄩㄢ3" + ], + "䠤": [ + "ㄉㄨㄛ3", + "ㄉㄨㄛ4" + ], + "䠥": [ + "ㄅㄧㄝ2" + ], + "䠦": [ + "ㄓㄜ4" + ], + "䠧": [ + "ㄔㄨ2" + ], + "䠨": [ + "ㄔㄢ4" + ], + "䠩": [ + "ㄍㄨㄟ4" + ], + "䠪": [ + "ㄉㄨㄢ4" + ], + "䠫": [ + "ㄗㄡ4" + ], + "䠬": [ + "ㄉㄥ4" + ], + "䠭": [ + "ㄌㄞ2" + ], + "䠮": [ + "ㄊㄥ2" + ], + "䠯": [ + "ㄩㄝ4" + ], + "䠰": [ + "ㄑㄩㄢ2" + ], + "䠱": [ + "ㄓㄨ2" + ], + "䠲": [ + "ㄌㄧㄥ2" + ], + "䠳": [ + "ㄔㄣ1" + ], + "䠴": [ + "ㄓㄣ3" + ], + "䠵": [ + "ㄈㄨ4" + ], + "䠶": [ + "ㄕㄜ4" + ], + "䠷": [ + "ㄊㄧㄠ3" + ], + "䠸": [ + "ㄎㄨㄚ1" + ], + "䠹": [ + "ㄞ2" + ], + "䠻": [ + "ㄑㄩㄥ2" + ], + "䠼": [ + "ㄕㄨ4" + ], + "䠽": [ + "ㄏㄞ2", + "ㄎㄞ3" + ], + "䠾": [ + "ㄕㄢ3" + ], + "䠿": [ + "ㄨㄞ4", + "ㄎㄨㄟ4" + ], + "䡀": [ + "ㄓㄢ3", + "ㄓㄢ4" + ], + "䡁": [ + "ㄌㄨㄥ3" + ], + "䡂": [ + "ㄐㄧㄡ1", + "ㄐㄧㄡ4" + ], + "䡃": [ + "ㄌㄧ4" + ], + "䡅": [ + "ㄔㄨㄣ1", + "ㄒㄩㄣ2" + ], + "䡆": [ + "ㄖㄨㄥ2" + ], + "䡇": [ + "ㄩㄝ4" + ], + "䡈": [ + "ㄐㄩㄝ2", + "ㄐㄧㄠ4" + ], + "䡉": [ + "ㄎㄤ3" + ], + "䡊": [ + "ㄈㄢ3" + ], + "䡋": [ + "ㄑㄧ2" + ], + "䡌": [ + "ㄏㄨㄥ2" + ], + "䡍": [ + "ㄈㄨ2" + ], + "䡎": [ + "ㄌㄨ2" + ], + "䡏": [ + "ㄏㄨㄥ2" + ], + "䡐": [ + "ㄊㄨㄛ2" + ], + "䡑": [ + "ㄇㄧㄣ2" + ], + "䡒": [ + "ㄊㄧㄢ2" + ], + "䡓": [ + "ㄐㄩㄢ4", + "ㄒㄩㄢ1" + ], + "䡔": [ + "ㄑㄧ3" + ], + "䡕": [ + "ㄓㄥ3" + ], + "䡖": [ + "ㄑㄧㄥ4" + ], + "䡗": [ + "ㄍㄨㄥ3", + "ㄍㄨㄥ4" + ], + "䡘": [ + "ㄊㄧㄢ2" + ], + "䡙": [ + "ㄌㄤ2" + ], + "䡚": [ + "ㄇㄠ4" + ], + "䡛": [ + "ㄧㄣ4" + ], + "䡜": [ + "ㄌㄨ4" + ], + "䡝": [ + "ㄩㄢ1", + "ㄩㄣ3" + ], + "䡞": [ + "ㄐㄩ2" + ], + "䡟": [ + "ㄆㄧ4" + ], + "䡡": [ + "ㄒㄧㄝ2" + ], + "䡢": [ + "ㄅㄧㄢ4" + ], + "䡣": [ + "ㄏㄨㄣ1", + "ㄒㄩㄢ1" + ], + "䡤": [ + "ㄓㄨ1" + ], + "䡥": [ + "ㄖㄨㄥ2" + ], + "䡦": [ + "ㄙㄤ3" + ], + "䡧": [ + "ㄨ1", + "ㄨ3" + ], + "䡨": [ + "ㄔㄚ4" + ], + "䡩": [ + "ㄎㄥ1", + "ㄓㄣ3" + ], + "䡪": [ + "ㄕㄢ4" + ], + "䡫": [ + "ㄆㄥ2" + ], + "䡬": [ + "ㄇㄢ4" + ], + "䡭": [ + "ㄒㄧㄡ1" + ], + "䡯": [ + "ㄘㄨㄥ1", + "ㄗㄨㄥ3" + ], + "䡰": [ + "ㄎㄥ1", + "ㄎㄥ3", + "ㄍㄨ3" + ], + "䡱": [ + "ㄓㄨㄢ3" + ], + "䡲": [ + "ㄔㄢ2", + "ㄉㄢ1" + ], + "䡳": [ + "ㄙ1" + ], + "䡴": [ + "ㄔㄨㄥ1" + ], + "䡵": [ + "ㄙㄨㄟ4" + ], + "䡶": [ + "ㄅㄟ4" + ], + "䡷": [ + "ㄎㄞ4", + "ㄎㄜ3" + ], + "䡹": [ + "ㄓ4" + ], + "䡺": [ + "ㄨㄟ4" + ], + "䡻": [ + "ㄇㄧㄣ2" + ], + "䡼": [ + "ㄌㄧㄥ2" + ], + "䡽": [ + "ㄗㄨㄢ1" + ], + "䡾": [ + "ㄋㄧㄝ4", + "ㄧㄝ4", + "ㄧ3" + ], + "䡿": [ + "ㄌㄧㄥ2" + ], + "䢀": [ + "ㄑㄧ4" + ], + "䢁": [ + "ㄩㄝ4" + ], + "䢃": [ + "ㄧ4" + ], + "䢄": [ + "ㄒㄧ3" + ], + "䢅": [ + "ㄔㄣ2" + ], + "䢇": [ + "ㄖㄨㄥ3" + ], + "䢈": [ + "ㄔㄣ2", + "ㄏㄨㄟ4" + ], + "䢉": [ + "ㄋㄨㄥ2" + ], + "䢊": [ + "ㄧㄡ2" + ], + "䢋": [ + "ㄐㄧ4" + ], + "䢌": [ + "ㄅㄛ2" + ], + "䢍": [ + "ㄈㄤ3" + ], + "䢐": [ + "ㄘㄨ2" + ], + "䢑": [ + "ㄉㄧ3", + "ㄉㄧ4" + ], + "䢒": [ + "ㄐㄧㄠ1" + ], + "䢓": [ + "ㄩ2" + ], + "䢔": [ + "ㄏㄜ2" + ], + "䢕": [ + "ㄒㄩ4" + ], + "䢖": [ + "ㄩ4", + "ㄌㄩ4" + ], + "䢗": [ + "ㄑㄩ1" + ], + "䢙": [ + "ㄅㄞ4" + ], + "䢚": [ + "ㄍㄥ1", + "ㄏㄤ2" + ], + "䢛": [ + "ㄐㄩㄥ3" + ], + "䢝": [ + "ㄧㄚ4" + ], + "䢞": [ + "ㄕㄨ4" + ], + "䢟": [ + "ㄧㄡ2" + ], + "䢠": [ + "ㄙㄨㄥ4" + ], + "䢡": [ + "ㄧㄝ4", + "ㄒㄧㄝ4", + "ㄓㄨㄟ4" + ], + "䢢": [ + "ㄘㄤ4" + ], + "䢣": [ + "ㄧㄠ2" + ], + "䢤": [ + "ㄕㄨ4" + ], + "䢥": [ + "ㄧㄢ2" + ], + "䢦": [ + "ㄕㄨㄞ4" + ], + "䢧": [ + "ㄌㄧㄠ4" + ], + "䢨": [ + "ㄘㄨㄥ1", + "ㄗㄨㄥ1" + ], + "䢩": [ + "ㄩ4" + ], + "䢪": [ + "ㄅㄛ2" + ], + "䢫": [ + "ㄙㄨㄟ2" + ], + "䢭": [ + "ㄧㄢ4", + "ㄒㄧㄢ4" + ], + "䢮": [ + "ㄌㄟ4" + ], + "䢯": [ + "ㄌㄧㄣ2" + ], + "䢰": [ + "ㄊㄧ1" + ], + "䢱": [ + "ㄉㄨ2" + ], + "䢲": [ + "ㄩㄝ4" + ], + "䢳": [ + "ㄐㄧ3" + ], + "䢵": [ + "ㄩㄣ2" + ], + "䢸": [ + "ㄐㄩ1" + ], + "䢹": [ + "ㄐㄩ3", + "ㄑㄩ2" + ], + "䢺": [ + "ㄔㄨ1" + ], + "䢻": [ + "ㄔㄣ2" + ], + "䢼": [ + "ㄍㄨㄥ1" + ], + "䢽": [ + "ㄒㄧㄤ4" + ], + "䢾": [ + "ㄒㄧㄢ3" + ], + "䢿": [ + "ㄢ1" + ], + "䣀": [ + "ㄍㄨㄟ3", + "ㄑㄧ1", + "ㄨㄟ2" + ], + "䣁": [ + "ㄩ3" + ], + "䣂": [ + "ㄌㄟ3" + ], + "䣄": [ + "ㄊㄨ2" + ], + "䣅": [ + "ㄔㄣ2" + ], + "䣆": [ + "ㄒㄧㄥ2" + ], + "䣇": [ + "ㄑㄧㄡ2" + ], + "䣈": [ + "ㄏㄤ4" + ], + "䣊": [ + "ㄉㄤ3" + ], + "䣋": [ + "ㄘㄞ3" + ], + "䣌": [ + "ㄉㄧ3" + ], + "䣍": [ + "ㄧㄢ3", + "ㄧㄢ1" + ], + "䣎": [ + "ㄗ1" + ], + "䣐": [ + "ㄧㄥ1" + ], + "䣑": [ + "ㄔㄢ2" + ], + "䣓": [ + "ㄌㄧ2", + "ㄌㄧ4" + ], + "䣔": [ + "ㄙㄨㄛ3" + ], + "䣕": [ + "ㄇㄚ3" + ], + "䣖": [ + "ㄇㄚ3" + ], + "䣘": [ + "ㄊㄤ2" + ], + "䣙": [ + "ㄆㄟ2", + "ㄆㄥ3", + "ㄅㄟ1" + ], + "䣚": [ + "ㄌㄡ2" + ], + "䣛": [ + "ㄑㄧ1", + "ㄒㄧ1" + ], + "䣜": [ + "ㄘㄨㄛ2" + ], + "䣝": [ + "ㄊㄨ2" + ], + "䣞": [ + "ㄜ4" + ], + "䣟": [ + "ㄘㄢ2", + "ㄘㄢ3", + "ㄊㄧ4" + ], + "䣠": [ + "ㄐㄧㄝ2", + "ㄊㄧ4", + "ㄗㄚ2" + ], + "䣡": [ + "ㄧ2" + ], + "䣢": [ + "ㄐㄧ2" + ], + "䣣": [ + "ㄉㄤ3" + ], + "䣤": [ + "ㄐㄩㄝ2" + ], + "䣥": [ + "ㄅㄧ3" + ], + "䣦": [ + "ㄌㄟ4" + ], + "䣧": [ + "ㄧ4" + ], + "䣨": [ + "ㄔㄨㄣ2" + ], + "䣩": [ + "ㄔㄨㄣ2" + ], + "䣪": [ + "ㄆㄛ4" + ], + "䣫": [ + "ㄌㄧ2" + ], + "䣬": [ + "ㄗㄞ3", + "ㄍㄜ1" + ], + "䣭": [ + "ㄊㄞ4" + ], + "䣮": [ + "ㄆㄛ4" + ], + "䣯": [ + "ㄘㄨ2", + "ㄊㄧㄢ3" + ], + "䣰": [ + "ㄐㄩ4" + ], + "䣱": [ + "ㄒㄩ4" + ], + "䣲": [ + "ㄈㄢ4" + ], + "䣴": [ + "ㄒㄩ4" + ], + "䣵": [ + "ㄦ4" + ], + "䣶": [ + "ㄏㄨㄛ2", + "ㄊㄧㄢ2" + ], + "䣷": [ + "ㄓㄨ1" + ], + "䣸": [ + "ㄖㄢ3", + "ㄋㄢ3", + "ㄋㄢ4" + ], + "䣹": [ + "ㄈㄚ2" + ], + "䣺": [ + "ㄐㄩㄢ1" + ], + "䣻": [ + "ㄏㄢ1" + ], + "䣼": [ + "ㄌㄧㄤ2" + ], + "䣽": [ + "ㄓ1", + "ㄊㄧ3" + ], + "䣾": [ + "ㄇㄧ4" + ], + "䣿": [ + "ㄩ1" + ], + "䤁": [ + "ㄘㄣ2" + ], + "䤂": [ + "ㄇㄟ2" + ], + "䤃": [ + "ㄧㄣ1", + "ㄢ1", + "ㄧㄣ4" + ], + "䤄": [ + "ㄇㄧㄢ3" + ], + "䤅": [ + "ㄊㄨ2" + ], + "䤆": [ + "ㄎㄨㄟ2", + "ㄍㄨㄟ4" + ], + "䤉": [ + "ㄇㄧ4" + ], + "䤊": [ + "ㄖㄨㄥ2" + ], + "䤋": [ + "ㄩ4", + "ㄍㄨㄛ2" + ], + "䤌": [ + "ㄑㄧㄤ1" + ], + "䤍": [ + "ㄇㄧ2" + ], + "䤎": [ + "ㄐㄩ2", + "ㄐㄩㄝ2" + ], + "䤏": [ + "ㄆㄧ3" + ], + "䤐": [ + "ㄐㄧㄣ3" + ], + "䤑": [ + "ㄨㄤ4" + ], + "䤒": [ + "ㄐㄧ4", + "ㄐㄧ3" + ], + "䤓": [ + "ㄇㄥ2" + ], + "䤔": [ + "ㄐㄧㄢ4" + ], + "䤕": [ + "ㄒㄩㄝ4", + "ㄏㄨ4" + ], + "䤖": [ + "ㄅㄠ4" + ], + "䤗": [ + "ㄍㄢ3" + ], + "䤘": [ + "ㄔㄢ3", + "ㄑㄧㄢ3" + ], + "䤙": [ + "ㄌㄧ4" + ], + "䤚": [ + "ㄌㄧ3" + ], + "䤛": [ + "ㄑㄧㄡ2" + ], + "䤜": [ + "ㄉㄨㄣ4" + ], + "䤝": [ + "ㄧㄥ4" + ], + "䤞": [ + "ㄩㄣ3" + ], + "䤟": [ + "ㄔㄣ2" + ], + "䤠": [ + "ㄓ3" + ], + "䤡": [ + "ㄖㄢ3" + ], + "䤣": [ + "ㄌㄩㄝ4" + ], + "䤤": [ + "ㄎㄞ1" + ], + "䤥": [ + "ㄍㄨㄟ3", + "ㄨㄟ3" + ], + "䤦": [ + "ㄩㄝ4" + ], + "䤧": [ + "ㄏㄨㄟ4" + ], + "䤨": [ + "ㄆㄧ4" + ], + "䤩": [ + "ㄔㄚ2" + ], + "䤪": [ + "ㄉㄨㄛ3" + ], + "䤫": [ + "ㄔㄢ2" + ], + "䤬": [ + "ㄕㄚ1" + ], + "䤭": [ + "ㄕ4" + ], + "䤮": [ + "ㄕㄜ4" + ], + "䤯": [ + "ㄒㄧㄥ2" + ], + "䤰": [ + "ㄧㄥ2" + ], + "䤱": [ + "ㄕ4" + ], + "䤲": [ + "ㄔ4" + ], + "䤳": [ + "ㄧㄝ4" + ], + "䤴": [ + "ㄏㄢ2" + ], + "䤵": [ + "ㄈㄟ4", + "ㄆㄧ1", + "ㄈㄟ1" + ], + "䤶": [ + "ㄧㄝ4", + "ㄢ1" + ], + "䤷": [ + "ㄧㄢ3" + ], + "䤸": [ + "ㄗㄨㄢ4" + ], + "䤹": [ + "ㄙㄡ1" + ], + "䤺": [ + "ㄐㄧㄣ1", + "ㄧㄣ3" + ], + "䤻": [ + "ㄉㄨㄛ4" + ], + "䤼": [ + "ㄒㄧㄢ4" + ], + "䤽": [ + "ㄍㄨㄢ1" + ], + "䤾": [ + "ㄊㄠ1" + ], + "䤿": [ + "ㄑㄧㄝ4" + ], + "䥀": [ + "ㄔㄢ3" + ], + "䥁": [ + "ㄏㄢ2" + ], + "䥂": [ + "ㄇㄥ4" + ], + "䥃": [ + "ㄩㄝ4" + ], + "䥄": [ + "ㄘㄨ4" + ], + "䥅": [ + "ㄑㄧㄢ4" + ], + "䥆": [ + "ㄐㄧㄣ3" + ], + "䥇": [ + "ㄕㄢ4" + ], + "䥈": [ + "ㄇㄨ3" + ], + "䥉": [ + "ㄩㄢ1" + ], + "䥋": [ + "ㄆㄥ1" + ], + "䥌": [ + "ㄓㄥ4" + ], + "䥍": [ + "ㄓ4" + ], + "䥎": [ + "ㄔㄨㄣ2" + ], + "䥏": [ + "ㄩ3" + ], + "䥐": [ + "ㄇㄡ2" + ], + "䥑": [ + "ㄨㄢ4" + ], + "䥒": [ + "ㄐㄧㄤ4" + ], + "䥓": [ + "ㄑㄧ1" + ], + "䥔": [ + "ㄙㄨ4" + ], + "䥕": [ + "ㄆㄧㄝ3" + ], + "䥖": [ + "ㄊㄧㄢ2" + ], + "䥗": [ + "ㄎㄨㄢ3" + ], + "䥘": [ + "ㄘㄨ4" + ], + "䥙": [ + "ㄙㄨㄟ4" + ], + "䥛": [ + "ㄐㄧㄝ1", + "ㄐㄧㄝ2", + "ㄑㄧ4" + ], + "䥜": [ + "ㄐㄧㄢ4" + ], + "䥝": [ + "ㄠ2" + ], + "䥞": [ + "ㄐㄧㄠ3" + ], + "䥟": [ + "ㄧㄝ4" + ], + "䥡": [ + "ㄧㄝ4" + ], + "䥢": [ + "ㄌㄨㄥ2", + "ㄑㄧ1" + ], + "䥣": [ + "ㄗㄠ2" + ], + "䥤": [ + "ㄅㄠ2" + ], + "䥥": [ + "ㄌㄧㄢ2" + ], + "䥧": [ + "ㄏㄨㄢ2" + ], + "䥨": [ + "ㄌㄩ4", + "ㄌㄨ2" + ], + "䥩": [ + "ㄨㄟ2" + ], + "䥪": [ + "ㄒㄧㄢ3" + ], + "䥫": [ + "ㄊㄧㄝ3" + ], + "䥬": [ + "ㄅㄛ2" + ], + "䥭": [ + "ㄓㄥ4" + ], + "䥮": [ + "ㄓㄨ2" + ], + "䥯": [ + "ㄅㄟ1", + "ㄅㄚ4" + ], + "䥰": [ + "ㄇㄥ2" + ], + "䥱": [ + "ㄒㄧㄝ3" + ], + "䥲": [ + "ㄡ1" + ], + "䥳": [ + "ㄧㄡ1" + ], + "䥵": [ + "ㄒㄧㄠ3" + ], + "䥶": [ + "ㄌㄧ4" + ], + "䥷": [ + "ㄓㄚ2" + ], + "䥸": [ + "ㄇㄧ2" + ], + "䥺": [ + "ㄧㄝ2" + ], + "䥽": [ + "ㄆㄛ1" + ], + "䥾": [ + "ㄒㄧㄝ3" + ], + "䦂": [ + "ㄕㄢ4" + ], + "䦃": [ + "ㄓㄨㄛ1" + ], + "䦅": [ + "ㄕㄢ4" + ], + "䦆": [ + "ㄐㄩㄝ2" + ], + "䦇": [ + "ㄐㄧ4" + ], + "䦈": [ + "ㄐㄧㄝ1", + "ㄗㄨㄛ3" + ], + "䦊": [ + "ㄋㄧㄠ3" + ], + "䦋": [ + "ㄠ2" + ], + "䦌": [ + "ㄔㄨ4" + ], + "䦍": [ + "ㄨ4" + ], + "䦎": [ + "ㄍㄨㄢ3", + "ㄎㄤ4" + ], + "䦏": [ + "ㄒㄧㄝ4" + ], + "䦐": [ + "ㄊㄧㄥ3" + ], + "䦑": [ + "ㄒㄩㄝ4" + ], + "䦒": [ + "ㄉㄤ4", + "ㄑㄧㄠ1" + ], + "䦓": [ + "ㄓㄢ1", + "ㄔㄢ1" + ], + "䦔": [ + "ㄊㄢ3", + "ㄉㄢ3" + ], + "䦕": [ + "ㄆㄥ1" + ], + "䦖": [ + "ㄒㄧㄝ2", + "ㄒㄧㄚ2" + ], + "䦗": [ + "ㄒㄩ4" + ], + "䦘": [ + "ㄒㄧㄢ4" + ], + "䦙": [ + "ㄙ4", + "ㄕ4" + ], + "䦚": [ + "ㄎㄨㄚ4" + ], + "䦛": [ + "ㄓㄥ4" + ], + "䦜": [ + "ㄨ2" + ], + "䦝": [ + "ㄏㄨㄛ1" + ], + "䦞": [ + "ㄖㄨㄣ4" + ], + "䦟": [ + "ㄨㄣ3", + "ㄔㄨㄞ4" + ], + "䦠": [ + "ㄉㄨ1" + ], + "䦡": [ + "ㄏㄨㄢ2" + ], + "䦢": [ + "ㄎㄨㄛ4" + ], + "䦣": [ + "ㄈㄨ4" + ], + "䦤": [ + "ㄔㄨㄞ4" + ], + "䦥": [ + "ㄒㄧㄢ2" + ], + "䦦": [ + "ㄑㄧㄣ2" + ], + "䦧": [ + "ㄑㄧㄝ2" + ], + "䦨": [ + "ㄌㄢ2" + ], + "䦪": [ + "ㄧㄚ4" + ], + "䦫": [ + "ㄧㄥ1" + ], + "䦬": [ + "ㄑㄩㄝ4" + ], + "䦭": [ + "ㄏㄤ1" + ], + "䦮": [ + "ㄔㄨㄣ3" + ], + "䦯": [ + "ㄓ4" + ], + "䦱": [ + "ㄨㄟ3", + "ㄎㄨㄚ1" + ], + "䦲": [ + "ㄧㄢ2", + "ㄑㄧㄢ4", + "ㄔㄢ4" + ], + "䦳": [ + "ㄒㄧㄤ4" + ], + "䦴": [ + "ㄧ4" + ], + "䦵": [ + "ㄋㄧ3" + ], + "䦶": [ + "ㄓㄥ4" + ], + "䦷": [ + "ㄔㄨㄞ4" + ], + "䦹": [ + "ㄕ2" + ], + "䦺": [ + "ㄉㄧㄥ1" + ], + "䦻": [ + "ㄗ3" + ], + "䦼": [ + "ㄐㄩㄝ2", + "ㄆㄧ4" + ], + "䦽": [ + "ㄒㄩ4" + ], + "䦾": [ + "ㄩㄢ2" + ], + "䧁": [ + "ㄒㄩ3" + ], + "䧂": [ + "ㄉㄠ4" + ], + "䧃": [ + "ㄊㄧㄢ2" + ], + "䧄": [ + "ㄍㄜ4" + ], + "䧅": [ + "ㄧ2" + ], + "䧆": [ + "ㄏㄨㄥ2" + ], + "䧇": [ + "ㄧ1", + "ㄧ3" + ], + "䧉": [ + "ㄌㄧ3" + ], + "䧊": [ + "ㄎㄨ1" + ], + "䧋": [ + "ㄒㄧㄢ3", + "ㄒㄧㄢ4" + ], + "䧌": [ + "ㄙㄨㄟ1" + ], + "䧍": [ + "ㄒㄧ4" + ], + "䧎": [ + "ㄒㄩㄢ4" + ], + "䧑": [ + "ㄉㄧ1" + ], + "䧒": [ + "ㄌㄞ2" + ], + "䧓": [ + "ㄓㄡ1" + ], + "䧔": [ + "ㄋㄧㄢ4" + ], + "䧕": [ + "ㄔㄥ2" + ], + "䧖": [ + "ㄐㄧㄢ4" + ], + "䧗": [ + "ㄅㄧ4" + ], + "䧘": [ + "ㄓㄨㄢ4" + ], + "䧙": [ + "ㄌㄧㄥ2" + ], + "䧚": [ + "ㄏㄠ4" + ], + "䧛": [ + "ㄅㄤ4", + "ㄆㄥ2" + ], + "䧜": [ + "ㄊㄤ2" + ], + "䧝": [ + "ㄔ1", + "ㄓ4" + ], + "䧞": [ + "ㄇㄚ4", + "ㄈㄨ4" + ], + "䧟": [ + "ㄒㄧㄢ4" + ], + "䧠": [ + "ㄕㄨㄢ4" + ], + "䧡": [ + "ㄩㄥ1" + ], + "䧢": [ + "ㄑㄩ1", + "ㄡ1" + ], + "䧤": [ + "ㄆㄨ2" + ], + "䧥": [ + "ㄏㄨㄟ4" + ], + "䧦": [ + "ㄨㄟ2" + ], + "䧧": [ + "ㄧ3" + ], + "䧨": [ + "ㄧㄝ4" + ], + "䧪": [ + "ㄔㄜ4" + ], + "䧫": [ + "ㄏㄠ2" + ], + "䧬": [ + "ㄅㄧㄣ1" + ], + "䧮": [ + "ㄒㄧㄢ4", + "ㄒㄧㄢ3" + ], + "䧯": [ + "ㄔㄢ2", + "ㄓㄢ4" + ], + "䧰": [ + "ㄏㄨㄣ4" + ], + "䧲": [ + "ㄏㄢ4" + ], + "䧳": [ + "ㄘ2", + "ㄓㄨㄟ1" + ], + "䧴": [ + "ㄓ1" + ], + "䧵": [ + "ㄑㄧ2" + ], + "䧶": [ + "ㄎㄨㄟ2" + ], + "䧷": [ + "ㄖㄡ2" + ], + "䧹": [ + "ㄧㄥ1" + ], + "䧺": [ + "ㄒㄩㄥ2" + ], + "䧼": [ + "ㄏㄨ2" + ], + "䧽": [ + "ㄘㄨㄟ3" + ], + "䧿": [ + "ㄑㄩㄝ4", + "ㄒㄧ1" + ], + "䨀": [ + "ㄉㄧ2" + ], + "䨁": [ + "ㄨ4" + ], + "䨂": [ + "ㄑㄧㄡ1" + ], + "䨄": [ + "ㄧㄢ4" + ], + "䨅": [ + "ㄌㄧㄠ2" + ], + "䨆": [ + "ㄅㄧ2" + ], + "䨈": [ + "ㄅㄧㄣ1" + ], + "䨊": [ + "ㄩㄢ1" + ], + "䨋": [ + "ㄋㄩㄝ4" + ], + "䨌": [ + "ㄅㄠ2" + ], + "䨍": [ + "ㄧㄥ3" + ], + "䨎": [ + "ㄏㄨㄥ2" + ], + "䨏": [ + "ㄘ2" + ], + "䨐": [ + "ㄑㄧㄚ4" + ], + "䨑": [ + "ㄊㄧ2" + ], + "䨒": [ + "ㄩ4" + ], + "䨓": [ + "ㄌㄟ2" + ], + "䨔": [ + "ㄅㄠ2" + ], + "䨖": [ + "ㄐㄧ4" + ], + "䨗": [ + "ㄈㄨ2" + ], + "䨘": [ + "ㄒㄧㄢ4" + ], + "䨙": [ + "ㄘㄣ2" + ], + "䨚": [ + "ㄏㄨ1" + ], + "䨛": [ + "ㄙㄜ4", + "ㄒㄧ1" + ], + "䨜": [ + "ㄅㄥ1" + ], + "䨝": [ + "ㄑㄧㄥ1" + ], + "䨞": [ + "ㄩ3", + "ㄩ4" + ], + "䨟": [ + "ㄨㄚ1" + ], + "䨠": [ + "ㄞ3" + ], + "䨡": [ + "ㄏㄢ2" + ], + "䨢": [ + "ㄉㄢ4" + ], + "䨣": [ + "ㄍㄜ2" + ], + "䨤": [ + "ㄉㄧ2" + ], + "䨥": [ + "ㄏㄨㄛ4", + "ㄕㄨㄤ1" + ], + "䨦": [ + "ㄆㄤ1" + ], + "䨨": [ + "ㄓㄨㄟ1" + ], + "䨩": [ + "ㄌㄧㄥ2" + ], + "䨪": [ + "ㄇㄞ2" + ], + "䨫": [ + "ㄇㄞ4" + ], + "䨬": [ + "ㄌㄧㄢ2" + ], + "䨭": [ + "ㄒㄧㄠ1" + ], + "䨮": [ + "ㄒㄩㄝ3" + ], + "䨯": [ + "ㄓㄣ4" + ], + "䨰": [ + "ㄆㄛ4" + ], + "䨱": [ + "ㄈㄨ4" + ], + "䨲": [ + "ㄋㄡ2", + "ㄨㄢ4" + ], + "䨳": [ + "ㄒㄧ4", + "ㄒㄧ1" + ], + "䨴": [ + "ㄉㄨㄟ4" + ], + "䨵": [ + "ㄉㄢ4" + ], + "䨶": [ + "ㄩㄣ3" + ], + "䨷": [ + "ㄒㄧㄢ4" + ], + "䨸": [ + "ㄧㄣ3" + ], + "䨹": [ + "ㄕㄨ1" + ], + "䨺": [ + "ㄉㄨㄟ4" + ], + "䨻": [ + "ㄅㄥ4" + ], + "䨼": [ + "ㄏㄨ4" + ], + "䨽": [ + "ㄈㄟ3" + ], + "䨾": [ + "ㄈㄟ4" + ], + "䨿": [ + "ㄗㄚ2" + ], + "䩀": [ + "ㄅㄟ4" + ], + "䩁": [ + "ㄈㄟ1" + ], + "䩂": [ + "ㄒㄧㄢ1" + ], + "䩃": [ + "ㄕ4" + ], + "䩄": [ + "ㄇㄧㄢ3", + "ㄊㄧㄢ3" + ], + "䩅": [ + "ㄓㄢ3", + "ㄋㄢ3" + ], + "䩆": [ + "ㄓㄢ3" + ], + "䩇": [ + "ㄓㄢ1", + "ㄉㄧㄢ1" + ], + "䩈": [ + "ㄏㄨㄟ4" + ], + "䩉": [ + "ㄈㄨ3" + ], + "䩊": [ + "ㄨㄢ3", + "ㄨㄛ4" + ], + "䩋": [ + "ㄇㄛ3" + ], + "䩌": [ + "ㄑㄧㄠ2" + ], + "䩍": [ + "ㄌㄧㄠ3" + ], + "䩏": [ + "ㄇㄧㄝ4" + ], + "䩐": [ + "ㄏㄨ1", + "ㄐㄧ2", + "ㄍㄜ2" + ], + "䩑": [ + "ㄏㄨㄥ2" + ], + "䩒": [ + "ㄩ2" + ], + "䩓": [ + "ㄑㄧ2" + ], + "䩔": [ + "ㄉㄨㄛ4", + "ㄕㄢ1", + "ㄆㄢ2" + ], + "䩕": [ + "ㄤ2", + "ㄧㄥ4" + ], + "䩗": [ + "ㄅㄚ4" + ], + "䩘": [ + "ㄉㄧ4" + ], + "䩙": [ + "ㄒㄩㄢ4", + "ㄒㄧㄢ3" + ], + "䩚": [ + "ㄉㄧ4", + "ㄉㄧ1" + ], + "䩛": [ + "ㄅㄧ4", + "ㄆㄟ4" + ], + "䩜": [ + "ㄓㄡ4" + ], + "䩝": [ + "ㄆㄠ2" + ], + "䩞": [ + "ㄊㄧㄝ2", + "ㄉㄧㄝ1" + ], + "䩟": [ + "ㄧ2", + "ㄊㄧ4" + ], + "䩡": [ + "ㄐㄧㄚ2", + "ㄍㄜ2" + ], + "䩢": [ + "ㄓ4", + "ㄉㄚ2" + ], + "䩣": [ + "ㄊㄨ2" + ], + "䩤": [ + "ㄒㄧㄝ2" + ], + "䩥": [ + "ㄉㄢ4", + "ㄔㄢ1" + ], + "䩦": [ + "ㄊㄧㄠ2" + ], + "䩧": [ + "ㄒㄧㄝ4" + ], + "䩨": [ + "ㄔㄤ4", + "ㄓㄤ1" + ], + "䩩": [ + "ㄩㄢ3" + ], + "䩪": [ + "ㄍㄨㄢ3" + ], + "䩫": [ + "ㄌㄧㄤ3" + ], + "䩬": [ + "ㄅㄥ3", + "ㄈㄥ3" + ], + "䩮": [ + "ㄌㄨ4" + ], + "䩯": [ + "ㄐㄧ2", + "ㄑㄧ4" + ], + "䩰": [ + "ㄒㄩㄢ4" + ], + "䩱": [ + "ㄕㄨ4", + "ㄩ2", + "ㄕㄨ1" + ], + "䩲": [ + "ㄉㄨ1" + ], + "䩳": [ + "ㄙㄡ1" + ], + "䩴": [ + "ㄏㄨ2" + ], + "䩵": [ + "ㄩㄣ4" + ], + "䩶": [ + "ㄔㄢ3" + ], + "䩷": [ + "ㄅㄤ1" + ], + "䩸": [ + "ㄖㄨㄥ2", + "ㄖㄨㄥ3" + ], + "䩹": [ + "ㄜ2", + "ㄎㄨㄛ4" + ], + "䩺": [ + "ㄨㄥ1" + ], + "䩻": [ + "ㄅㄚ4" + ], + "䩼": [ + "ㄈㄥ2" + ], + "䩽": [ + "ㄩ1" + ], + "䩾": [ + "ㄓㄜ4" + ], + "䩿": [ + "ㄈㄣ2" + ], + "䪀": [ + "ㄍㄨㄢ3" + ], + "䪁": [ + "ㄅㄨ3" + ], + "䪂": [ + "ㄍㄜ2" + ], + "䪃": [ + "ㄉㄨㄣ1" + ], + "䪄": [ + "ㄏㄨㄤ2" + ], + "䪅": [ + "ㄉㄨ2" + ], + "䪆": [ + "ㄊㄧ3" + ], + "䪇": [ + "ㄅㄛ2" + ], + "䪈": [ + "ㄑㄧㄢ4" + ], + "䪉": [ + "ㄌㄧㄝ4" + ], + "䪊": [ + "ㄌㄨㄥ2" + ], + "䪋": [ + "ㄨㄟ4" + ], + "䪌": [ + "ㄓㄢ4", + "ㄕㄢ1" + ], + "䪍": [ + "ㄌㄢ2" + ], + "䪎": [ + "ㄙㄨㄟ1" + ], + "䪏": [ + "ㄋㄚ4", + "ㄉㄚ1" + ], + "䪐": [ + "ㄅㄧ4" + ], + "䪑": [ + "ㄊㄨㄛ2" + ], + "䪒": [ + "ㄓㄨ4" + ], + "䪓": [ + "ㄉㄧㄝ1" + ], + "䪔": [ + "ㄅㄨ3", + "ㄈㄨ4" + ], + "䪕": [ + "ㄐㄩ2" + ], + "䪖": [ + "ㄆㄛ4" + ], + "䪗": [ + "ㄒㄧㄚ2" + ], + "䪘": [ + "ㄨㄟ3", + "ㄉㄧ1" + ], + "䪙": [ + "ㄆㄛ4", + "ㄈㄨ2", + "ㄈㄨ4" + ], + "䪚": [ + "ㄉㄚ1", + "ㄊㄚ4" + ], + "䪛": [ + "ㄈㄢ1", + "ㄈㄢ2" + ], + "䪜": [ + "ㄔㄢ1", + "ㄔㄢ4", + "ㄧㄢ2" + ], + "䪝": [ + "ㄏㄨ4" + ], + "䪞": [ + "ㄗㄚ2" + ], + "䪤": [ + "ㄈㄢ2" + ], + "䪥": [ + "ㄒㄧㄝ4" + ], + "䪦": [ + "ㄏㄨㄥ2" + ], + "䪧": [ + "ㄔ2" + ], + "䪨": [ + "ㄅㄠ2" + ], + "䪩": [ + "ㄧㄣ2" + ], + "䪫": [ + "ㄐㄧㄥ1" + ], + "䪬": [ + "ㄅㄛ2" + ], + "䪭": [ + "ㄖㄨㄢ3" + ], + "䪮": [ + "ㄔㄡ3" + ], + "䪯": [ + "ㄧㄥ1" + ], + "䪰": [ + "ㄧ1" + ], + "䪱": [ + "ㄍㄞ3", + "ㄏㄞ2" + ], + "䪲": [ + "ㄎㄨㄣ1" + ], + "䪳": [ + "ㄩㄣ3" + ], + "䪴": [ + "ㄓㄣ3", + "ㄉㄢ3", + "ㄉㄢ4" + ], + "䪵": [ + "ㄧㄚ3" + ], + "䪶": [ + "ㄐㄩ1" + ], + "䪷": [ + "ㄏㄡ4", + "ㄍㄡ4" + ], + "䪸": [ + "ㄇㄧㄣ2", + "ㄇㄣ2" + ], + "䪹": [ + "ㄅㄞ1", + "ㄆㄧ1", + "ㄆㄟ2" + ], + "䪺": [ + "ㄍㄜ2" + ], + "䪻": [ + "ㄅㄧㄢ4", + "ㄈㄢ4" + ], + "䪼": [ + "ㄓㄨㄛ1" + ], + "䪽": [ + "ㄏㄠ4" + ], + "䪾": [ + "ㄓㄣ3" + ], + "䪿": [ + "ㄕㄥ3" + ], + "䫀": [ + "ㄍㄣ3" + ], + "䫁": [ + "ㄅㄧ4" + ], + "䫂": [ + "ㄉㄨㄛ3" + ], + "䫃": [ + "ㄔㄨㄣ2", + "ㄓㄣ4" + ], + "䫄": [ + "ㄔㄨㄚ4" + ], + "䫅": [ + "ㄙㄢ4" + ], + "䫆": [ + "ㄔㄥ2" + ], + "䫇": [ + "ㄖㄢ2" + ], + "䫈": [ + "ㄔㄣ3", + "ㄗㄣ4", + "ㄘㄣ2" + ], + "䫉": [ + "ㄇㄠ4" + ], + "䫊": [ + "ㄆㄟ2" + ], + "䫋": [ + "ㄨㄟ1", + "ㄊㄨㄟ2" + ], + "䫌": [ + "ㄆㄧ3" + ], + "䫍": [ + "ㄈㄨ3" + ], + "䫎": [ + "ㄓㄨㄛ1" + ], + "䫏": [ + "ㄑㄧ1" + ], + "䫐": [ + "ㄌㄧㄣ2" + ], + "䫑": [ + "ㄧ1", + "ㄑㄧ1" + ], + "䫒": [ + "ㄇㄣ2" + ], + "䫓": [ + "ㄨ2" + ], + "䫔": [ + "ㄑㄧ4", + "ㄑㄧㄝ4", + "ㄧㄚ4", + "ㄎㄨㄟ2" + ], + "䫕": [ + "ㄉㄧㄝ2" + ], + "䫖": [ + "ㄔㄣ3", + "ㄕㄣ4" + ], + "䫗": [ + "ㄒㄧㄚ2" + ], + "䫘": [ + "ㄏㄜ2", + "ㄐㄧㄝ2", + "ㄎㄜ3" + ], + "䫙": [ + "ㄙㄤ3" + ], + "䫚": [ + "ㄍㄨㄚ1" + ], + "䫛": [ + "ㄏㄡ2" + ], + "䫜": [ + "ㄠ1" + ], + "䫝": [ + "ㄈㄨ3" + ], + "䫞": [ + "ㄑㄧㄠ1", + "ㄈㄣ2" + ], + "䫟": [ + "ㄏㄨㄣ4" + ], + "䫠": [ + "ㄆㄧ1" + ], + "䫡": [ + "ㄧㄢ2", + "ㄑㄧㄢ4", + "ㄑㄧㄢ1", + "ㄐㄧㄢ4" + ], + "䫢": [ + "ㄙ1" + ], + "䫣": [ + "ㄒㄧ2" + ], + "䫤": [ + "ㄇㄧㄥ2" + ], + "䫥": [ + "ㄎㄨㄟ3" + ], + "䫦": [ + "ㄍㄜ2", + "ㄎㄞ4" + ], + "䫨": [ + "ㄠ4" + ], + "䫩": [ + "ㄙㄢ3" + ], + "䫪": [ + "ㄕㄨㄤ3" + ], + "䫫": [ + "ㄌㄡ2" + ], + "䫬": [ + "ㄓㄣ3", + "ㄑㄧㄣ3" + ], + "䫭": [ + "ㄏㄨㄟ4" + ], + "䫮": [ + "ㄔㄢ2" + ], + "䫰": [ + "ㄌㄧㄣ4" + ], + "䫱": [ + "ㄋㄚ2" + ], + "䫲": [ + "ㄏㄢ4", + "ㄎㄢ3" + ], + "䫳": [ + "ㄉㄨ2" + ], + "䫴": [ + "ㄐㄧㄣ4" + ], + "䫵": [ + "ㄇㄧㄢ2" + ], + "䫶": [ + "ㄈㄢ2" + ], + "䫷": [ + "ㄜ4" + ], + "䫸": [ + "ㄔㄠ1" + ], + "䫹": [ + "ㄏㄨㄥ2" + ], + "䫺": [ + "ㄏㄨㄥ2" + ], + "䫻": [ + "ㄩ4" + ], + "䫼": [ + "ㄒㄩㄝ4" + ], + "䫽": [ + "ㄆㄠ1" + ], + "䫾": [ + "ㄅㄧ1", + "ㄅㄧ4" + ], + "䫿": [ + "ㄔㄠ1" + ], + "䬀": [ + "ㄧㄡ3" + ], + "䬁": [ + "ㄧ2" + ], + "䬂": [ + "ㄒㄩㄝ4" + ], + "䬃": [ + "ㄙㄚ4" + ], + "䬄": [ + "ㄒㄩ4" + ], + "䬅": [ + "ㄌㄧ4", + "ㄌㄧㄝ4", + "ㄒㄧㄝ2" + ], + "䬆": [ + "ㄌㄧ4" + ], + "䬇": [ + "ㄩㄢ4" + ], + "䬈": [ + "ㄉㄨㄟ4" + ], + "䬉": [ + "ㄏㄨㄛ4" + ], + "䬊": [ + "ㄕㄚ4" + ], + "䬋": [ + "ㄌㄥ2" + ], + "䬌": [ + "ㄆㄡ1" + ], + "䬍": [ + "ㄏㄨ1" + ], + "䬎": [ + "ㄍㄨㄛ2", + "ㄒㄩ4" + ], + "䬏": [ + "ㄅㄨ4", + "ㄈㄡ3" + ], + "䬐": [ + "ㄖㄨㄟ2" + ], + "䬑": [ + "ㄨㄟ4", + "ㄩ4" + ], + "䬒": [ + "ㄙㄡ1", + "ㄒㄧㄠ1" + ], + "䬓": [ + "ㄢ4" + ], + "䬔": [ + "ㄩ2" + ], + "䬕": [ + "ㄒㄧㄤ1", + "ㄕㄤ3" + ], + "䬖": [ + "ㄏㄥ2" + ], + "䬗": [ + "ㄧㄤ2" + ], + "䬘": [ + "ㄒㄧㄠ1" + ], + "䬙": [ + "ㄧㄠ2" + ], + "䬛": [ + "ㄅㄧ4" + ], + "䬝": [ + "ㄏㄥ2" + ], + "䬞": [ + "ㄊㄠ2" + ], + "䬟": [ + "ㄌㄧㄡ2", + "ㄌㄧㄡ3" + ], + "䬡": [ + "ㄓㄨ4" + ], + "䬣": [ + "ㄒㄧ4", + "ㄑㄧ4", + "ㄍㄜ1" + ], + "䬤": [ + "ㄗㄢ4", + "ㄓㄢ1" + ], + "䬥": [ + "ㄧ4" + ], + "䬦": [ + "ㄉㄡ4", + "ㄕㄜ4" + ], + "䬧": [ + "ㄩㄢ2" + ], + "䬨": [ + "ㄐㄧㄡ4" + ], + "䬪": [ + "ㄅㄛ2" + ], + "䬫": [ + "ㄊㄧ2" + ], + "䬬": [ + "ㄧㄥ3" + ], + "䬮": [ + "ㄧ2" + ], + "䬯": [ + "ㄋㄧㄢ2", + "ㄊㄧㄢ3" + ], + "䬰": [ + "ㄕㄠ4" + ], + "䬱": [ + "ㄅㄣ4" + ], + "䬲": [ + "ㄍㄡ1" + ], + "䬳": [ + "ㄅㄢ3" + ], + "䬴": [ + "ㄇㄛ4" + ], + "䬵": [ + "ㄍㄞ1", + "ㄞ4" + ], + "䬶": [ + "ㄣ4" + ], + "䬷": [ + "ㄕㄜ3" + ], + "䬹": [ + "ㄓ4" + ], + "䬺": [ + "ㄧㄤ4" + ], + "䬻": [ + "ㄐㄧㄢ4" + ], + "䬼": [ + "ㄩㄢ4" + ], + "䬽": [ + "ㄕㄨㄟ4", + "ㄉㄨㄟ4" + ], + "䬾": [ + "ㄊㄧ2" + ], + "䬿": [ + "ㄨㄟ3", + "ㄨㄟ4" + ], + "䭀": [ + "ㄒㄩㄣ4" + ], + "䭁": [ + "ㄓ4" + ], + "䭂": [ + "ㄧ4" + ], + "䭃": [ + "ㄖㄣ3", + "ㄋㄧㄝ4" + ], + "䭄": [ + "ㄕ4" + ], + "䭅": [ + "ㄏㄨ2" + ], + "䭆": [ + "ㄋㄜ4" + ], + "䭇": [ + "ㄧㄝ1", + "ㄧ4" + ], + "䭈": [ + "ㄐㄧㄢ4" + ], + "䭉": [ + "ㄙㄨㄟ3" + ], + "䭊": [ + "ㄧㄥ3" + ], + "䭋": [ + "ㄅㄠ3" + ], + "䭌": [ + "ㄏㄨ2" + ], + "䭍": [ + "ㄏㄨ2" + ], + "䭎": [ + "ㄧㄝ4" + ], + "䭐": [ + "ㄧㄤ4" + ], + "䭑": [ + "ㄌㄧㄢ2", + "ㄑㄧㄢ4", + "ㄒㄧㄢ4" + ], + "䭒": [ + "ㄒㄧ1" + ], + "䭓": [ + "ㄣ4" + ], + "䭔": [ + "ㄉㄨㄟ1" + ], + "䭕": [ + "ㄗㄢ3", + "ㄐㄧㄢ3" + ], + "䭖": [ + "ㄓㄨ4" + ], + "䭗": [ + "ㄧㄥ3" + ], + "䭘": [ + "ㄧㄥ3" + ], + "䭙": [ + "ㄐㄧㄣ3", + "ㄐㄧㄢ4" + ], + "䭚": [ + "ㄔㄨㄤ2" + ], + "䭛": [ + "ㄉㄢ4" + ], + "䭝": [ + "ㄎㄨㄞ4" + ], + "䭞": [ + "ㄧ4" + ], + "䭟": [ + "ㄧㄝ4" + ], + "䭠": [ + "ㄐㄧㄢ3" + ], + "䭡": [ + "ㄣ4" + ], + "䭢": [ + "ㄋㄧㄥ2" + ], + "䭣": [ + "ㄘ2" + ], + "䭤": [ + "ㄑㄧㄢ3" + ], + "䭥": [ + "ㄒㄩㄝ4" + ], + "䭦": [ + "ㄅㄛ1" + ], + "䭧": [ + "ㄇㄧ3" + ], + "䭨": [ + "ㄕㄨㄟ4" + ], + "䭩": [ + "ㄇㄛ2" + ], + "䭪": [ + "ㄌㄧㄤ2" + ], + "䭫": [ + "ㄑㄧ3" + ], + "䭬": [ + "ㄑㄧ3" + ], + "䭭": [ + "ㄕㄡ3" + ], + "䭮": [ + "ㄈㄨ2" + ], + "䭯": [ + "ㄅㄛ2" + ], + "䭰": [ + "ㄅㄥ4" + ], + "䭱": [ + "ㄅㄧㄝ2" + ], + "䭲": [ + "ㄧ3" + ], + "䭳": [ + "ㄨㄟ4" + ], + "䭴": [ + "ㄏㄨㄢ2" + ], + "䭵": [ + "ㄈㄢ2" + ], + "䭶": [ + "ㄑㄧ2" + ], + "䭷": [ + "ㄇㄠ2" + ], + "䭸": [ + "ㄈㄨ4" + ], + "䭹": [ + "ㄤ2" + ], + "䭺": [ + "ㄤ3" + ], + "䭻": [ + "ㄈㄣ1", + "ㄈㄨ4" + ], + "䭼": [ + "ㄑㄧ2" + ], + "䭽": [ + "ㄑㄩㄣ2" + ], + "䭾": [ + "ㄊㄨㄛ2" + ], + "䭿": [ + "ㄧ4" + ], + "䮀": [ + "ㄅㄛ2" + ], + "䮁": [ + "ㄆㄧㄢ2" + ], + "䮂": [ + "ㄅㄚ2" + ], + "䮄": [ + "ㄒㄩㄢ2" + ], + "䮇": [ + "ㄩ4" + ], + "䮈": [ + "ㄔ2" + ], + "䮉": [ + "ㄌㄨ2" + ], + "䮊": [ + "ㄧ2" + ], + "䮋": [ + "ㄌㄧ4" + ], + "䮍": [ + "ㄋㄧㄠ3" + ], + "䮎": [ + "ㄒㄧ4" + ], + "䮏": [ + "ㄨ2" + ], + "䮑": [ + "ㄌㄟ4", + "ㄌㄨㄛ4" + ], + "䮒": [ + "ㄆㄨ1" + ], + "䮓": [ + "ㄓㄨㄛ1", + "ㄔㄠ4" + ], + "䮔": [ + "ㄗㄨㄟ1" + ], + "䮕": [ + "ㄓㄨㄛ2" + ], + "䮖": [ + "ㄔㄤ1" + ], + "䮗": [ + "ㄢ4", + "ㄧㄢ4" + ], + "䮘": [ + "ㄦ2" + ], + "䮙": [ + "ㄩ4" + ], + "䮚": [ + "ㄌㄥ4", + "ㄌㄧㄥ2" + ], + "䮛": [ + "ㄈㄨ4" + ], + "䮜": [ + "ㄓㄚ2", + "ㄧㄝ4" + ], + "䮝": [ + "ㄏㄨㄣ2" + ], + "䮞": [ + "ㄔㄨㄣ3" + ], + "䮟": [ + "ㄙㄡ1", + "ㄙㄡ3" + ], + "䮠": [ + "ㄅㄧ1" + ], + "䮡": [ + "ㄅㄧ4", + "ㄅㄛ2" + ], + "䮢": [ + "ㄓㄚ2" + ], + "䮤": [ + "ㄏㄜ2" + ], + "䮥": [ + "ㄌㄧ4" + ], + "䮧": [ + "ㄏㄢ4", + "ㄏㄢ2" + ], + "䮨": [ + "ㄗㄞ3" + ], + "䮩": [ + "ㄍㄨ2" + ], + "䮪": [ + "ㄔㄥ2" + ], + "䮫": [ + "ㄌㄡ2", + "ㄌㄩ2" + ], + "䮬": [ + "ㄇㄛ4" + ], + "䮭": [ + "ㄇㄧ4" + ], + "䮮": [ + "ㄇㄞ4" + ], + "䮯": [ + "ㄠ4" + ], + "䮰": [ + "ㄓㄜ2" + ], + "䮱": [ + "ㄓㄨ2" + ], + "䮲": [ + "ㄏㄨㄤ2" + ], + "䮳": [ + "ㄈㄢ2" + ], + "䮴": [ + "ㄉㄥ4", + "ㄊㄥ1" + ], + "䮵": [ + "ㄊㄨㄥ2" + ], + "䮷": [ + "ㄉㄨ2" + ], + "䮸": [ + "ㄨㄛ4" + ], + "䮹": [ + "ㄨㄟ4", + "ㄍㄨㄟ4" + ], + "䮺": [ + "ㄐㄧ4" + ], + "䮻": [ + "ㄔ4" + ], + "䮼": [ + "ㄌㄧㄣ2" + ], + "䮽": [ + "ㄅㄧㄠ1" + ], + "䮾": [ + "ㄌㄨㄥ2", + "ㄌㄨㄥ4" + ], + "䮿": [ + "ㄐㄧㄢ3" + ], + "䯀": [ + "ㄋㄧㄝ4" + ], + "䯁": [ + "ㄌㄨㄛ2" + ], + "䯂": [ + "ㄕㄣ1", + "ㄐㄧ2" + ], + "䯄": [ + "ㄍㄨㄚ1" + ], + "䯅": [ + "ㄋㄧㄝ4" + ], + "䯆": [ + "ㄧ4" + ], + "䯇": [ + "ㄎㄨ1" + ], + "䯈": [ + "ㄨㄢ2" + ], + "䯉": [ + "ㄨㄚ1" + ], + "䯊": [ + "ㄑㄧㄚ4", + "ㄎㄜ1" + ], + "䯋": [ + "ㄅㄛ2", + "ㄈㄟ4" + ], + "䯌": [ + "ㄎㄠ1" + ], + "䯍": [ + "ㄌㄧㄥ2" + ], + "䯎": [ + "ㄍㄢ4" + ], + "䯏": [ + "ㄍㄨㄚ1", + "ㄏㄨㄚ2" + ], + "䯐": [ + "ㄏㄞ2" + ], + "䯑": [ + "ㄎㄨㄤ1" + ], + "䯒": [ + "ㄏㄥ2" + ], + "䯓": [ + "ㄎㄨㄟ1" + ], + "䯔": [ + "ㄗㄜ2" + ], + "䯕": [ + "ㄊㄧㄥ1" + ], + "䯖": [ + "ㄌㄤ2" + ], + "䯗": [ + "ㄅㄧ4" + ], + "䯘": [ + "ㄏㄨㄢ4" + ], + "䯙": [ + "ㄆㄛ4" + ], + "䯚": [ + "ㄧㄠ3" + ], + "䯛": [ + "ㄨㄢ4" + ], + "䯜": [ + "ㄊㄧ4", + "ㄒㄧ1" + ], + "䯝": [ + "ㄙㄨㄟ3" + ], + "䯞": [ + "ㄎㄨㄚ1" + ], + "䯟": [ + "ㄉㄨㄟ4", + "ㄒㄧㄚ2" + ], + "䯠": [ + "ㄠ3" + ], + "䯡": [ + "ㄐㄧㄢ4" + ], + "䯢": [ + "ㄇㄛ2", + "ㄇㄛ3" + ], + "䯣": [ + "ㄎㄨㄟ4", + "ㄍㄨㄟ4" + ], + "䯤": [ + "ㄎㄨㄞ4" + ], + "䯥": [ + "ㄢ4", + "ㄑㄧ4" + ], + "䯦": [ + "ㄇㄚ4" + ], + "䯧": [ + "ㄑㄧㄥ3", + "ㄑㄧㄥ4" + ], + "䯨": [ + "ㄑㄧㄠ1", + "ㄏㄜ4" + ], + "䯪": [ + "ㄎㄠ3", + "ㄎㄠ4" + ], + "䯫": [ + "ㄏㄠ4" + ], + "䯬": [ + "ㄉㄨㄛ3" + ], + "䯭": [ + "ㄒㄧㄢ1" + ], + "䯮": [ + "ㄋㄞ2" + ], + "䯯": [ + "ㄙㄨㄛ1" + ], + "䯰": [ + "ㄐㄧㄝ4" + ], + "䯱": [ + "ㄆㄧ1", + "ㄆㄟ1", + "ㄈㄨ4" + ], + "䯲": [ + "ㄆㄚ1", + "ㄅㄚ4" + ], + "䯳": [ + "ㄙㄨㄥ1" + ], + "䯴": [ + "ㄔㄤ2" + ], + "䯵": [ + "ㄋㄧㄝ4" + ], + "䯶": [ + "ㄇㄢ2", + "ㄇㄧㄢ2" + ], + "䯷": [ + "ㄙㄨㄥ1" + ], + "䯸": [ + "ㄘ4" + ], + "䯹": [ + "ㄒㄧㄢ1" + ], + "䯺": [ + "ㄎㄨㄛ4" + ], + "䯼": [ + "ㄉㄧ2" + ], + "䯽": [ + "ㄆㄡ2", + "ㄆㄡ3", + "ㄅㄠ3" + ], + "䯾": [ + "ㄊㄧㄠ2", + "ㄉㄧㄠ1" + ], + "䯿": [ + "ㄗㄨ2", + "ㄙㄨㄟ4", + "ㄗㄨㄟ4" + ], + "䰀": [ + "ㄨㄛ3" + ], + "䰁": [ + "ㄈㄟ4" + ], + "䰂": [ + "ㄘㄞ4" + ], + "䰃": [ + "ㄆㄥ2", + "ㄆㄥ4", + "ㄈㄤ3" + ], + "䰄": [ + "ㄙㄞ1", + "ㄕ4" + ], + "䰆": [ + "ㄖㄡ2" + ], + "䰇": [ + "ㄑㄧ2" + ], + "䰈": [ + "ㄘㄨㄛ2" + ], + "䰉": [ + "ㄆㄢ2", + "ㄅㄢ1" + ], + "䰊": [ + "ㄅㄛ2" + ], + "䰋": [ + "ㄇㄢ2" + ], + "䰌": [ + "ㄗㄨㄥ3", + "ㄘㄨㄥ1" + ], + "䰍": [ + "ㄘ4" + ], + "䰎": [ + "ㄎㄨㄟ4" + ], + "䰏": [ + "ㄐㄧ4" + ], + "䰐": [ + "ㄌㄢ2" + ], + "䰒": [ + "ㄇㄥ2" + ], + "䰓": [ + "ㄇㄧㄢ2" + ], + "䰔": [ + "ㄆㄢ2" + ], + "䰕": [ + "ㄌㄨ2" + ], + "䰖": [ + "ㄗㄨㄢ3" + ], + "䰗": [ + "ㄐㄧㄡ1" + ], + "䰘": [ + "ㄌㄧㄡ2", + "ㄐㄧㄠ3" + ], + "䰙": [ + "ㄧ3" + ], + "䰚": [ + "ㄨㄣ2" + ], + "䰛": [ + "ㄌㄧ4", + "ㄍㄜ2" + ], + "䰜": [ + "ㄌㄧ4" + ], + "䰝": [ + "ㄗㄥ4" + ], + "䰞": [ + "ㄓㄨ3" + ], + "䰟": [ + "ㄏㄨㄣ2" + ], + "䰠": [ + "ㄕㄣ2" + ], + "䰡": [ + "ㄔ4" + ], + "䰢": [ + "ㄒㄧㄥ4" + ], + "䰣": [ + "ㄨㄤ3" + ], + "䰤": [ + "ㄉㄨㄥ1" + ], + "䰥": [ + "ㄏㄨㄛ4", + "ㄩ4" + ], + "䰦": [ + "ㄆㄧ3" + ], + "䰧": [ + "ㄏㄨ1" + ], + "䰨": [ + "ㄇㄟ4" + ], + "䰩": [ + "ㄔㄜ3", + "ㄉㄨ1" + ], + "䰪": [ + "ㄇㄟ4" + ], + "䰫": [ + "ㄔㄠ1", + "ㄔㄠ2", + "ㄓㄠ4" + ], + "䰬": [ + "ㄐㄩ2" + ], + "䰭": [ + "ㄋㄡ4" + ], + "䰯": [ + "ㄧ4" + ], + "䰰": [ + "ㄖㄨ2" + ], + "䰱": [ + "ㄌㄧㄥ2", + "ㄌㄨㄥ2" + ], + "䰲": [ + "ㄧㄚ4" + ], + "䰴": [ + "ㄑㄧ4" + ], + "䰵": [ + "ㄗ1" + ], + "䰷": [ + "ㄅㄤ4" + ], + "䰸": [ + "ㄍㄨㄥ1" + ], + "䰹": [ + "ㄗㄜ2" + ], + "䰺": [ + "ㄐㄧㄝ4" + ], + "䰻": [ + "ㄩ2" + ], + "䰼": [ + "ㄑㄧㄣ2", + "ㄧㄣ2", + "ㄕㄣ4" + ], + "䰽": [ + "ㄅㄟ4" + ], + "䰾": [ + "ㄅㄚ1", + "ㄅㄚ4" + ], + "䰿": [ + "ㄊㄨㄛ2" + ], + "䱀": [ + "ㄧㄤ1" + ], + "䱁": [ + "ㄑㄧㄠ2" + ], + "䱂": [ + "ㄧㄡ3" + ], + "䱃": [ + "ㄓ4" + ], + "䱄": [ + "ㄐㄧㄝ4" + ], + "䱅": [ + "ㄇㄛ4" + ], + "䱆": [ + "ㄕㄥ2" + ], + "䱇": [ + "ㄕㄢ4" + ], + "䱈": [ + "ㄑㄧ2" + ], + "䱉": [ + "ㄕㄢ4" + ], + "䱊": [ + "ㄇㄧ3" + ], + "䱋": [ + "ㄍㄨㄥ3" + ], + "䱌": [ + "ㄧ2" + ], + "䱍": [ + "ㄍㄥ4" + ], + "䱎": [ + "ㄍㄥ4" + ], + "䱏": [ + "ㄊㄡ3" + ], + "䱐": [ + "ㄈㄨ1" + ], + "䱑": [ + "ㄒㄩㄝ2" + ], + "䱒": [ + "ㄧㄝ4" + ], + "䱓": [ + "ㄊㄧㄥ2", + "ㄊㄧㄥ3" + ], + "䱔": [ + "ㄊㄧㄠ2", + "ㄔㄡ2" + ], + "䱕": [ + "ㄇㄡ2", + "ㄇㄟ2" + ], + "䱖": [ + "ㄌㄧㄡ2" + ], + "䱗": [ + "ㄘㄢ1" + ], + "䱘": [ + "ㄌㄧ2" + ], + "䱙": [ + "ㄕㄨ1" + ], + "䱚": [ + "ㄌㄨ4" + ], + "䱛": [ + "ㄏㄨㄛ4", + "ㄒㄩ4", + "ㄧ4" + ], + "䱜": [ + "ㄘㄨㄛ4" + ], + "䱝": [ + "ㄆㄞ2", + "ㄅㄟ1" + ], + "䱞": [ + "ㄌㄧㄡ2" + ], + "䱟": [ + "ㄐㄩ4", + "ㄐㄩ1" + ], + "䱠": [ + "ㄓㄢ4" + ], + "䱡": [ + "ㄐㄩ2" + ], + "䱢": [ + "ㄓㄥ1" + ], + "䱣": [ + "ㄗㄨ2" + ], + "䱤": [ + "ㄒㄧㄢ4" + ], + "䱥": [ + "ㄓ4", + "ㄐㄧ4" + ], + "䱨": [ + "ㄌㄚ4" + ], + "䱫": [ + "ㄌㄚ4" + ], + "䱬": [ + "ㄒㄩ1" + ], + "䱭": [ + "ㄍㄥ4" + ], + "䱮": [ + "ㄜ2" + ], + "䱯": [ + "ㄇㄨ2" + ], + "䱰": [ + "ㄓㄨㄥ4" + ], + "䱱": [ + "ㄊㄧ2", + "ㄉㄧ4" + ], + "䱲": [ + "ㄩㄢ2" + ], + "䱳": [ + "ㄓㄢ1" + ], + "䱴": [ + "ㄍㄥ4" + ], + "䱵": [ + "ㄨㄥ1" + ], + "䱶": [ + "ㄌㄤ2" + ], + "䱷": [ + "ㄩ2" + ], + "䱸": [ + "ㄙㄡ1", + "ㄑㄧㄡ1" + ], + "䱹": [ + "ㄓㄚ3" + ], + "䱺": [ + "ㄏㄞ2" + ], + "䱻": [ + "ㄏㄨㄚ2" + ], + "䱼": [ + "ㄓㄢ3" + ], + "䱽": [ + "ㄔㄤ1" + ], + "䱾": [ + "ㄌㄡ2" + ], + "䱿": [ + "ㄔㄢ4" + ], + "䲀": [ + "ㄓ4" + ], + "䲁": [ + "ㄨㄟ4" + ], + "䲂": [ + "ㄒㄩㄢ2" + ], + "䲃": [ + "ㄗㄠ3", + "ㄙㄨㄛ3", + "ㄔㄠ2" + ], + "䲄": [ + "ㄇㄧㄣ2" + ], + "䲅": [ + "ㄍㄨㄟ1" + ], + "䲆": [ + "ㄙㄨ1" + ], + "䲉": [ + "ㄙ1" + ], + "䲊": [ + "ㄉㄨㄛ4", + "ㄨㄟ3", + "ㄊㄨㄛ4" + ], + "䲋": [ + "ㄘㄣ2" + ], + "䲌": [ + "ㄎㄨㄢ3" + ], + "䲍": [ + "ㄊㄥ2" + ], + "䲎": [ + "ㄋㄟ3" + ], + "䲏": [ + "ㄌㄠ2" + ], + "䲐": [ + "ㄌㄨ3" + ], + "䲑": [ + "ㄧ2" + ], + "䲒": [ + "ㄒㄧㄝ4" + ], + "䲓": [ + "ㄧㄢ3", + "ㄧㄢ2" + ], + "䲔": [ + "ㄑㄧㄥ2" + ], + "䲕": [ + "ㄆㄨ1" + ], + "䲖": [ + "ㄔㄡ2" + ], + "䲗": [ + "ㄒㄧㄢ2" + ], + "䲘": [ + "ㄍㄨㄢ3" + ], + "䲙": [ + "ㄐㄧㄝ2" + ], + "䲚": [ + "ㄌㄞ4" + ], + "䲛": [ + "ㄇㄥ2" + ], + "䲜": [ + "ㄧㄝ4" + ], + "䲞": [ + "ㄌㄧ4" + ], + "䲟": [ + "ㄧㄣ4" + ], + "䲠": [ + "ㄔㄨㄣ1" + ], + "䲡": [ + "ㄑㄧㄡ1" + ], + "䲢": [ + "ㄊㄥ2" + ], + "䲣": [ + "ㄩ2" + ], + "䲦": [ + "ㄉㄞ4" + ], + "䲧": [ + "ㄉㄨ4" + ], + "䲨": [ + "ㄏㄨㄥ2" + ], + "䲪": [ + "ㄒㄧ4" + ], + "䲬": [ + "ㄑㄧ2" + ], + "䲮": [ + "ㄩㄢ2" + ], + "䲯": [ + "ㄐㄧ2" + ], + "䲰": [ + "ㄩㄣ4" + ], + "䲱": [ + "ㄈㄤ3" + ], + "䲲": [ + "ㄍㄨㄥ1", + "ㄙㄨㄥ1" + ], + "䲳": [ + "ㄏㄤ2" + ], + "䲴": [ + "ㄓㄣ4" + ], + "䲵": [ + "ㄑㄩㄝ4" + ], + "䲸": [ + "ㄐㄧㄝ4" + ], + "䲹": [ + "ㄆㄧ2" + ], + "䲺": [ + "ㄍㄢ4" + ], + "䲻": [ + "ㄒㄩㄢ2", + "ㄩㄢ1" + ], + "䲼": [ + "ㄕㄥ1" + ], + "䲽": [ + "ㄕ2", + "ㄉㄧㄠ3" + ], + "䲾": [ + "ㄑㄧㄠ3" + ], + "䲿": [ + "ㄘ2" + ], + "䳀": [ + "ㄉㄧㄝ2", + "ㄧ4" + ], + "䳁": [ + "ㄅㄛ2" + ], + "䳂": [ + "ㄉㄧㄠ1", + "ㄔㄠ1", + "ㄊㄧㄠ2", + "ㄒㄧㄠ1" + ], + "䳃": [ + "ㄨㄢ3" + ], + "䳄": [ + "ㄘ2" + ], + "䳅": [ + "ㄓ3", + "ㄓ4" + ], + "䳆": [ + "ㄅㄞ2" + ], + "䳇": [ + "ㄨ3" + ], + "䳈": [ + "ㄅㄠ3" + ], + "䳉": [ + "ㄉㄨㄥ1", + "ㄉㄢ4" + ], + "䳊": [ + "ㄅㄚ2" + ], + "䳋": [ + "ㄊㄨㄥ2", + "ㄊㄨㄥ1", + "ㄒㄧㄠ1" + ], + "䳍": [ + "ㄍㄨㄥ1" + ], + "䳎": [ + "ㄐㄧㄡ4" + ], + "䳏": [ + "ㄍㄨㄟ4", + "ㄐㄩㄝ2" + ], + "䳐": [ + "ㄘ4" + ], + "䳑": [ + "ㄧㄡ3" + ], + "䳒": [ + "ㄩㄢ2" + ], + "䳓": [ + "ㄌㄠ3" + ], + "䳔": [ + "ㄐㄩ2", + "ㄐㄧㄡ4" + ], + "䳕": [ + "ㄈㄨ2" + ], + "䳖": [ + "ㄋㄧㄝ4" + ], + "䳗": [ + "ㄜ2" + ], + "䳘": [ + "ㄜ2" + ], + "䳙": [ + "ㄒㄧㄥ3" + ], + "䳚": [ + "ㄎㄢ4", + "ㄏㄜ2" + ], + "䳛": [ + "ㄧㄢ4" + ], + "䳜": [ + "ㄊㄨ2" + ], + "䳝": [ + "ㄆㄡ3", + "ㄅㄨ4" + ], + "䳞": [ + "ㄅㄥ3" + ], + "䳟": [ + "ㄇㄧㄥ2" + ], + "䳠": [ + "ㄕㄨㄟ4", + "ㄓㄨ4" + ], + "䳡": [ + "ㄧㄢ4", + "ㄓㄨㄟ1" + ], + "䳢": [ + "ㄑㄧ2" + ], + "䳣": [ + "ㄩㄢ2" + ], + "䳤": [ + "ㄅㄧㄝ1" + ], + "䳦": [ + "ㄒㄩㄢ1" + ], + "䳧": [ + "ㄏㄡ2" + ], + "䳨": [ + "ㄏㄨㄤ2" + ], + "䳩": [ + "ㄧㄠ1" + ], + "䳪": [ + "ㄐㄩㄢ4" + ], + "䳫": [ + "ㄎㄨㄟ2" + ], + "䳬": [ + "ㄜ4" + ], + "䳭": [ + "ㄐㄧ2" + ], + "䳮": [ + "ㄇㄛ4" + ], + "䳯": [ + "ㄔㄨㄥ2", + "ㄔㄨㄥ3" + ], + "䳰": [ + "ㄅㄠ3" + ], + "䳱": [ + "ㄨ4" + ], + "䳲": [ + "ㄓㄣ4" + ], + "䳳": [ + "ㄒㄩ4" + ], + "䳴": [ + "ㄊㄚ4", + "ㄉㄚ2" + ], + "䳵": [ + "ㄔ4" + ], + "䳶": [ + "ㄒㄧ1", + "ㄑㄧ1", + "ㄐㄧ1" + ], + "䳷": [ + "ㄘㄨㄥ2" + ], + "䳸": [ + "ㄇㄚ2" + ], + "䳹": [ + "ㄎㄡ4" + ], + "䳺": [ + "ㄧㄢ4" + ], + "䳻": [ + "ㄘㄢ2", + "ㄓㄢ4" + ], + "䳽": [ + "ㄏㄜ4" + ], + "䳾": [ + "ㄉㄥ1" + ], + "䳿": [ + "ㄖㄢ2" + ], + "䴀": [ + "ㄊㄨㄥ2" + ], + "䴁": [ + "ㄩ4", + "ㄩ2" + ], + "䴂": [ + "ㄒㄧㄤ4" + ], + "䴃": [ + "ㄋㄠ2" + ], + "䴄": [ + "ㄕㄨㄣ4" + ], + "䴅": [ + "ㄈㄣ2" + ], + "䴆": [ + "ㄆㄨ2", + "ㄆㄨ1" + ], + "䴇": [ + "ㄌㄧㄥ2" + ], + "䴈": [ + "ㄠ3" + ], + "䴉": [ + "ㄏㄨㄢ2", + "ㄒㄩㄢ2" + ], + "䴊": [ + "ㄧ2" + ], + "䴋": [ + "ㄏㄨㄢ2", + "ㄒㄩㄢ2" + ], + "䴌": [ + "ㄇㄥ2" + ], + "䴍": [ + "ㄧㄥ1" + ], + "䴎": [ + "ㄌㄟ3" + ], + "䴏": [ + "ㄧㄢ4" + ], + "䴐": [ + "ㄅㄠ3" + ], + "䴑": [ + "ㄉㄧㄝ2" + ], + "䴒": [ + "ㄌㄧㄥ2" + ], + "䴓": [ + "ㄕ1" + ], + "䴔": [ + "ㄐㄧㄠ1" + ], + "䴕": [ + "ㄌㄧㄝ4" + ], + "䴖": [ + "ㄐㄧㄥ1" + ], + "䴗": [ + "ㄐㄩ2" + ], + "䴘": [ + "ㄊㄧ1" + ], + "䴙": [ + "ㄆㄧ4" + ], + "䴚": [ + "ㄍㄤ3" + ], + "䴛": [ + "ㄒㄧㄠ1" + ], + "䴜": [ + "ㄨㄞ1" + ], + "䴝": [ + "ㄔㄨㄞ4" + ], + "䴞": [ + "ㄉㄧ2" + ], + "䴟": [ + "ㄏㄨㄢ2" + ], + "䴠": [ + "ㄧㄠ3" + ], + "䴡": [ + "ㄌㄧ4" + ], + "䴢": [ + "ㄇㄧ2" + ], + "䴣": [ + "ㄏㄨ1" + ], + "䴤": [ + "ㄕㄥ1" + ], + "䴥": [ + "ㄐㄧㄚ1" + ], + "䴦": [ + "ㄧㄣ2" + ], + "䴧": [ + "ㄨㄟ1" + ], + "䴩": [ + "ㄆㄧㄠ2" + ], + "䴪": [ + "ㄌㄨ4" + ], + "䴫": [ + "ㄌㄧㄥ2" + ], + "䴬": [ + "ㄧ4" + ], + "䴭": [ + "ㄘㄞ2" + ], + "䴮": [ + "ㄕㄢ4" + ], + "䴯": [ + "ㄏㄨ1" + ], + "䴰": [ + "ㄕㄨ2", + "ㄧ4" + ], + "䴱": [ + "ㄊㄨㄛ1" + ], + "䴲": [ + "ㄇㄛ4" + ], + "䴳": [ + "ㄏㄨㄚ2" + ], + "䴴": [ + "ㄊㄧㄝ4", + "ㄋㄧㄢ2" + ], + "䴵": [ + "ㄅㄧㄥ3" + ], + "䴶": [ + "ㄆㄥ2" + ], + "䴷": [ + "ㄏㄨㄣ2", + "ㄏㄨㄢ4" + ], + "䴸": [ + "ㄈㄨ1" + ], + "䴹": [ + "ㄍㄨㄛ3", + "ㄌㄨㄛ3", + "ㄏㄨㄣ2" + ], + "䴺": [ + "ㄅㄨ4" + ], + "䴻": [ + "ㄌㄧ2" + ], + "䴼": [ + "ㄔㄢ4" + ], + "䴽": [ + "ㄆㄧ2" + ], + "䴾": [ + "ㄘㄨㄛ2" + ], + "䴿": [ + "ㄇㄥ2" + ], + "䵀": [ + "ㄙㄨㄛ3", + "ㄙㄨㄛ4" + ], + "䵁": [ + "ㄑㄧㄤ4" + ], + "䵂": [ + "ㄓ2" + ], + "䵃": [ + "ㄎㄨㄤ4", + "ㄏㄨㄤ2" + ], + "䵄": [ + "ㄅㄧ2" + ], + "䵅": [ + "ㄠ2" + ], + "䵆": [ + "ㄇㄥ2" + ], + "䵇": [ + "ㄒㄧㄢ4" + ], + "䵈": [ + "ㄎㄨ4" + ], + "䵉": [ + "ㄊㄡ2" + ], + "䵊": [ + "ㄊㄨㄢ1" + ], + "䵋": [ + "ㄨㄟ3" + ], + "䵌": [ + "ㄒㄧㄢ1" + ], + "䵎": [ + "ㄊㄨㄢ1" + ], + "䵏": [ + "ㄌㄠ3" + ], + "䵐": [ + "ㄔㄢ3" + ], + "䵑": [ + "ㄋㄧ4" + ], + "䵒": [ + "ㄋㄧ4" + ], + "䵓": [ + "ㄌㄧ2" + ], + "䵔": [ + "ㄉㄨㄥ3" + ], + "䵕": [ + "ㄐㄩ4" + ], + "䵖": [ + "ㄑㄧㄢ4", + "ㄑㄧㄣ1" + ], + "䵗": [ + "ㄅㄛ2", + "ㄅㄧ2" + ], + "䵘": [ + "ㄕㄞ4" + ], + "䵙": [ + "ㄓㄚ1", + "ㄓㄚ3" + ], + "䵚": [ + "ㄊㄠ3" + ], + "䵛": [ + "ㄑㄧㄢ4" + ], + "䵜": [ + "ㄋㄨㄥ3" + ], + "䵝": [ + "ㄧ4", + "ㄧㄚ4" + ], + "䵞": [ + "ㄐㄧㄥ4" + ], + "䵟": [ + "ㄍㄢ3" + ], + "䵠": [ + "ㄉㄧ2", + "ㄓㄨㄛ2" + ], + "䵡": [ + "ㄐㄧㄢ3" + ], + "䵢": [ + "ㄇㄟ4" + ], + "䵣": [ + "ㄉㄚ2" + ], + "䵤": [ + "ㄐㄧㄢ3", + "ㄒㄧㄢ4" + ], + "䵥": [ + "ㄩ4" + ], + "䵦": [ + "ㄒㄧㄝ4", + "ㄨ1" + ], + "䵧": [ + "ㄗㄞ4" + ], + "䵨": [ + "ㄇㄤ2" + ], + "䵩": [ + "ㄌㄧ2" + ], + "䵪": [ + "ㄍㄨㄣ4", + "ㄏㄨㄣ4" + ], + "䵫": [ + "ㄒㄩㄣ1", + "ㄩ4" + ], + "䵬": [ + "ㄊㄚ4" + ], + "䵭": [ + "ㄓㄜ4" + ], + "䵮": [ + "ㄧㄤ4" + ], + "䵯": [ + "ㄊㄨㄢ3" + ], + "䵰": [ + "ㄕㄤ1" + ], + "䵱": [ + "ㄒㄧ4", + "ㄒㄧ1" + ], + "䵲": [ + "ㄑㄧㄠ1" + ], + "䵳": [ + "ㄨㄟ4" + ], + "䵴": [ + "ㄧㄥ4", + "ㄗㄥ4", + "ㄩㄣ4" + ], + "䵵": [ + "ㄔㄨㄚ1", + "ㄓㄨㄛ2" + ], + "䵶": [ + "ㄑㄩ2", + "ㄍㄡ1" + ], + "䵷": [ + "ㄨㄚ1" + ], + "䵹": [ + "ㄓ1" + ], + "䵺": [ + "ㄊㄧㄥ3", + "ㄉㄧㄥ3", + "ㄊㄧㄢ3" + ], + "䵻": [ + "ㄏㄨㄟ4", + "ㄍㄨ3" + ], + "䵼": [ + "ㄕㄤ1" + ], + "䵽": [ + "ㄘㄚ4" + ], + "䵾": [ + "ㄈㄨ2", + "ㄈㄨ3" + ], + "䵿": [ + "ㄊㄧㄝ4" + ], + "䶀": [ + "ㄊㄚ4" + ], + "䶁": [ + "ㄊㄚ4" + ], + "䶂": [ + "ㄓㄨㄛ2", + "ㄐㄩㄝ2" + ], + "䶃": [ + "ㄏㄢ2" + ], + "䶄": [ + "ㄆㄧㄥ2" + ], + "䶅": [ + "ㄏㄜ2" + ], + "䶆": [ + "ㄓㄨㄟ1" + ], + "䶇": [ + "ㄓㄡ4" + ], + "䶈": [ + "ㄅㄛ2" + ], + "䶉": [ + "ㄌㄧㄡ2" + ], + "䶊": [ + "ㄋㄩ4" + ], + "䶋": [ + "ㄒㄧ1" + ], + "䶌": [ + "ㄆㄠ4" + ], + "䶍": [ + "ㄉㄧ4" + ], + "䶎": [ + "ㄏㄜ1" + ], + "䶏": [ + "ㄊㄧ4", + "ㄊㄧ3" + ], + "䶐": [ + "ㄨㄞ4", + "ㄏㄨㄟ4" + ], + "䶑": [ + "ㄊㄧ4" + ], + "䶒": [ + "ㄑㄧ2" + ], + "䶓": [ + "ㄐㄧ4" + ], + "䶔": [ + "ㄔ2" + ], + "䶕": [ + "ㄅㄚ4", + "ㄅㄚ1" + ], + "䶖": [ + "ㄐㄧㄣ4" + ], + "䶗": [ + "ㄎㄜ4", + "ㄑㄧㄚ1", + "ㄑㄧㄚ3" + ], + "䶘": [ + "ㄌㄧ4" + ], + "䶙": [ + "ㄐㄩ4" + ], + "䶚": [ + "ㄑㄩ3" + ], + "䶛": [ + "ㄌㄚ4" + ], + "䶜": [ + "ㄍㄨ3" + ], + "䶝": [ + "ㄑㄧㄚ4" + ], + "䶞": [ + "ㄑㄧ2" + ], + "䶟": [ + "ㄒㄧㄢ4" + ], + "䶠": [ + "ㄐㄧㄢ3" + ], + "䶡": [ + "ㄕ2", + "ㄗㄜ2" + ], + "䶢": [ + "ㄐㄧㄢ1", + "ㄒㄧㄢ2" + ], + "䶣": [ + "ㄞ2", + "ㄍㄞ1" + ], + "䶤": [ + "ㄏㄨㄚ2" + ], + "䶥": [ + "ㄓㄚ1", + "ㄐㄩ3", + "ㄔㄨ3" + ], + "䶦": [ + "ㄗㄜ2" + ], + "䶧": [ + "ㄧㄠ3" + ], + "䶨": [ + "ㄓㄢ1" + ], + "䶩": [ + "ㄐㄧ4" + ], + "䶪": [ + "ㄔㄚ4" + ], + "䶫": [ + "ㄧㄢ4", + "ㄧㄢ2" + ], + "䶬": [ + "ㄐㄧㄢ1" + ], + "䶮": [ + "ㄧㄢ3" + ], + "䶰": [ + "ㄐㄧㄠ1" + ], + "䶱": [ + "ㄊㄨㄥ2" + ], + "䶲": [ + "ㄋㄢ2" + ], + "䶳": [ + "ㄩㄝ4" + ], + "䶵": [ + "ㄔ2" + ], + "一": [ + "ㄧ1", + "ㄧ2", + "ㄧ4" + ], + "丁": [ + "ㄉㄧㄥ1", + "ㄓㄥ1" + ], + "丂": [ + "ㄎㄠ3", + "ㄑㄧㄠ3", + "ㄩ2" + ], + "七": [ + "ㄑㄧ1", + "ㄑㄧ2" + ], + "丄": [ + "ㄕㄤ4" + ], + "丅": [ + "ㄒㄧㄚ4" + ], + "丆": [ + "ㄏㄢ3" + ], + "万": [ + "ㄨㄢ4", + "ㄇㄛ4" + ], + "丈": [ + "ㄓㄤ4" + ], + "三": [ + "ㄙㄢ1" + ], + "上": [ + "ㄕㄤ4", + "ㄕㄤ3" + ], + "下": [ + "ㄒㄧㄚ4" + ], + "丌": [ + "ㄐㄧ1", + "ㄑㄧ2" + ], + "不": [ + "ㄅㄨ4", + "ㄈㄡ3", + "ㄈㄡ1", + "ㄈㄨ1", + "ㄅㄨ2" + ], + "与": [ + "ㄩ3", + "ㄩ4", + "ㄩ2" + ], + "丏": [ + "ㄇㄧㄢ3" + ], + "丐": [ + "ㄍㄞ4" + ], + "丑": [ + "ㄔㄡ3" + ], + "丒": [ + "ㄔㄡ3" + ], + "专": [ + "ㄓㄨㄢ1" + ], + "且": [ + "ㄑㄧㄝ3", + "ㄐㄩ1", + "ㄘㄨ2" + ], + "丕": [ + "ㄆㄧ1" + ], + "世": [ + "ㄕ4" + ], + "丗": [ + "ㄕ4" + ], + "丘": [ + "ㄑㄧㄡ1" + ], + "丙": [ + "ㄅㄧㄥ3", + "ㄅㄧㄥ4" + ], + "业": [ + "ㄧㄝ4" + ], + "丛": [ + "ㄘㄨㄥ2" + ], + "东": [ + "ㄉㄨㄥ1" + ], + "丝": [ + "ㄙ1" + ], + "丞": [ + "ㄔㄥ2", + "ㄕㄥ4", + "ㄓㄥ1", + "ㄓㄥ3" + ], + "丟": [ + "ㄉㄧㄡ1" + ], + "丠": [ + "ㄑㄧㄡ1" + ], + "両": [ + "ㄌㄧㄤ3" + ], + "丢": [ + "ㄉㄧㄡ1" + ], + "丣": [ + "ㄧㄡ3" + ], + "两": [ + "ㄌㄧㄤ3" + ], + "严": [ + "ㄧㄢ2" + ], + "並": [ + "ㄅㄧㄥ4", + "ㄅㄢ4", + "ㄅㄤ4" + ], + "丧": [ + "ㄙㄤ4", + "ㄙㄤ1" + ], + "丨": [ + "ㄍㄨㄣ3" + ], + "丩": [ + "ㄐㄧㄡ1" + ], + "个": [ + "ㄍㄜ4", + "ㄍㄜ3", + "ㄍㄢ4" + ], + "丫": [ + "ㄧㄚ1" + ], + "丬": [ + "ㄑㄧㄤ2" + ], + "中": [ + "ㄓㄨㄥ1", + "ㄓㄨㄥ4" + ], + "丮": [ + "ㄐㄧ3" + ], + "丯": [ + "ㄐㄧㄝ4" + ], + "丰": [ + "ㄈㄥ1" + ], + "丱": [ + "ㄍㄨㄢ4", + "ㄎㄨㄤ4" + ], + "串": [ + "ㄔㄨㄢ4", + "ㄍㄨㄢ4", + "ㄑㄩㄢ4" + ], + "丳": [ + "ㄔㄢ3", + "ㄔㄨㄢ4" + ], + "临": [ + "ㄌㄧㄣ2" + ], + "丵": [ + "ㄓㄨㄛ2" + ], + "丶": [ + "ㄓㄨ3" + ], + "丷": [ + "ㄅㄚ1" + ], + "丸": [ + "ㄨㄢ2" + ], + "丹": [ + "ㄉㄢ1" + ], + "为": [ + "ㄨㄟ4", + "ㄨㄟ2" + ], + "主": [ + "ㄓㄨ3", + "ㄓㄨ4" + ], + "丼": [ + "ㄐㄧㄥ3", + "ㄉㄢ3" + ], + "丽": [ + "ㄌㄧ4", + "ㄌㄧ2" + ], + "举": [ + "ㄐㄩ3" + ], + "丿": [ + "ㄆㄧㄝ3", + "ㄧ4" + ], + "乀": [ + "ㄈㄨ2" + ], + "乁": [ + "ㄧ2", + "ㄐㄧ2" + ], + "乂": [ + "ㄧ4", + "ㄞ4" + ], + "乃": [ + "ㄋㄞ3", + "ㄞ3" + ], + "乄": [ + "ㄨ3" + ], + "久": [ + "ㄐㄧㄡ3" + ], + "乆": [ + "ㄐㄧㄡ3" + ], + "乇": [ + "ㄊㄨㄛ1", + "ㄓㄜ2" + ], + "么": [ + "ㄇㄜ5", + "ㄧㄠ1", + "ㄇㄛ2", + "ㄇㄚ5" + ], + "义": [ + "ㄧ4" + ], + "乊": [ + "ㄧ1" + ], + "之": [ + "ㄓ1", + "ㄓㄨ1", + "ㄓ4" + ], + "乌": [ + "ㄨ1", + "ㄨ4" + ], + "乍": [ + "ㄓㄚ4", + "ㄗㄨㄛ4" + ], + "乎": [ + "ㄏㄨ1" + ], + "乏": [ + "ㄈㄚ2" + ], + "乐": [ + "ㄌㄜ4", + "ㄩㄝ4" + ], + "乑": [ + "ㄧㄣ2", + "ㄆㄢ1", + "ㄓㄨㄥ4" + ], + "乒": [ + "ㄆㄧㄥ1" + ], + "乓": [ + "ㄆㄤ1" + ], + "乔": [ + "ㄑㄧㄠ2" + ], + "乕": [ + "ㄏㄨ3" + ], + "乖": [ + "ㄍㄨㄞ1" + ], + "乗": [ + "ㄔㄥ2" + ], + "乘": [ + "ㄔㄥ2", + "ㄕㄥ4" + ], + "乙": [ + "ㄧ3", + "ㄧ4", + "ㄐㄩㄝ2" + ], + "乚": [ + "ㄧㄣ3" + ], + "乛": [ + "ㄧㄚ5" + ], + "乜": [ + "ㄇㄧㄝ1", + "ㄋㄧㄝ4" + ], + "九": [ + "ㄐㄧㄡ3", + "ㄐㄧㄡ1" + ], + "乞": [ + "ㄑㄧ3", + "ㄑㄧ4" + ], + "也": [ + "ㄧㄝ3", + "ㄧ2" + ], + "习": [ + "ㄒㄧ2" + ], + "乡": [ + "ㄒㄧㄤ1" + ], + "乢": [ + "ㄍㄞ4" + ], + "乣": [ + "ㄐㄧㄡ3" + ], + "乤": [ + "ㄒㄧㄚ4" + ], + "乥": [ + "ㄏㄨ4" + ], + "书": [ + "ㄕㄨ1" + ], + "乧": [ + "ㄉㄡ3" + ], + "乨": [ + "ㄕ3" + ], + "乩": [ + "ㄐㄧ1" + ], + "乪": [ + "ㄋㄤ2" + ], + "乫": [ + "ㄐㄧㄚ1" + ], + "乬": [ + "ㄐㄩ4" + ], + "乭": [ + "ㄕ2" + ], + "乮": [ + "ㄇㄠ3" + ], + "乯": [ + "ㄏㄨ1" + ], + "买": [ + "ㄇㄞ3" + ], + "乱": [ + "ㄌㄨㄢ4" + ], + "乲": [ + "ㄗ1" + ], + "乳": [ + "ㄖㄨ3" + ], + "乴": [ + "ㄒㄩㄝ2" + ], + "乵": [ + "ㄧㄢ3" + ], + "乶": [ + "ㄈㄨ3" + ], + "乷": [ + "ㄕㄚ1" + ], + "乸": [ + "ㄋㄚ3" + ], + "乹": [ + "ㄍㄢ1" + ], + "乺": [ + "ㄙㄨㄛ3" + ], + "乻": [ + "ㄩ2" + ], + "乼": [ + "ㄘㄨㄟ5" + ], + "乽": [ + "ㄓㄜ3" + ], + "乾": [ + "ㄑㄧㄢ2", + "ㄍㄢ1" + ], + "乿": [ + "ㄓ4", + "ㄌㄨㄢ4" + ], + "亀": [ + "ㄍㄨㄟ1" + ], + "亁": [ + "ㄍㄢ1" + ], + "亂": [ + "ㄌㄨㄢ4" + ], + "亃": [ + "ㄌㄧㄣ3", + "ㄌㄧㄣ4" + ], + "亄": [ + "ㄧ4" + ], + "亅": [ + "ㄐㄩㄝ2" + ], + "了": [ + "ㄌㄜ5", + "ㄌㄧㄠ3", + "ㄌㄧㄠ4" + ], + "亇": [ + "ㄇㄚ5" + ], + "予": [ + "ㄩ3", + "ㄩ2", + "ㄓㄨ4" + ], + "争": [ + "ㄓㄥ1" + ], + "亊": [ + "ㄕ4" + ], + "事": [ + "ㄕ4", + "ㄗ4" + ], + "二": [ + "ㄦ4" + ], + "亍": [ + "ㄔㄨ4" + ], + "于": [ + "ㄩ2", + "ㄨㄟ2", + "ㄩ1", + "ㄒㄩ1" + ], + "亏": [ + "ㄎㄨㄟ1", + "ㄩ2" + ], + "亐": [ + "ㄩ2" + ], + "云": [ + "ㄩㄣ2" + ], + "互": [ + "ㄏㄨ4" + ], + "亓": [ + "ㄑㄧ2" + ], + "五": [ + "ㄨ3" + ], + "井": [ + "ㄐㄧㄥ3", + "ㄐㄧㄥ4" + ], + "亖": [ + "ㄙ4" + ], + "亗": [ + "ㄙㄨㄟ4" + ], + "亘": [ + "ㄍㄣ4", + "ㄒㄩㄢ1", + "ㄍㄥ4" + ], + "亙": [ + "ㄍㄣ4", + "ㄍㄥ4" + ], + "亚": [ + "ㄧㄚ4" + ], + "些": [ + "ㄒㄧㄝ1", + "ㄙㄨㄛ4", + "ㄙㄨㄛ1" + ], + "亜": [ + "ㄧㄚ4" + ], + "亝": [ + "ㄑㄧ2", + "ㄓㄞ1" + ], + "亞": [ + "ㄧㄚ4", + "ㄧㄚ1", + "ㄜ4" + ], + "亟": [ + "ㄐㄧ2", + "ㄑㄧ4" + ], + "亠": [ + "ㄊㄡ2" + ], + "亡": [ + "ㄨㄤ2", + "ㄨ2" + ], + "亢": [ + "ㄎㄤ4", + "ㄍㄤ1", + "ㄍㄥ1" + ], + "亣": [ + "ㄉㄚ4" + ], + "交": [ + "ㄐㄧㄠ1" + ], + "亥": [ + "ㄏㄞ4", + "ㄐㄧㄝ1" + ], + "亦": [ + "ㄧ4" + ], + "产": [ + "ㄔㄢ3" + ], + "亨": [ + "ㄏㄥ1", + "ㄒㄧㄤ3", + "ㄆㄥ1" + ], + "亩": [ + "ㄇㄨ3" + ], + "亪": [ + "ㄧㄝ5" + ], + "享": [ + "ㄒㄧㄤ3" + ], + "京": [ + "ㄐㄧㄥ1" + ], + "亭": [ + "ㄊㄧㄥ2" + ], + "亮": [ + "ㄌㄧㄤ4", + "ㄌㄧㄤ2" + ], + "亯": [ + "ㄒㄧㄤ3" + ], + "亰": [ + "ㄐㄧㄥ1" + ], + "亱": [ + "ㄧㄝ4" + ], + "亲": [ + "ㄑㄧㄣ1", + "ㄑㄧㄥ4" + ], + "亳": [ + "ㄅㄛ2" + ], + "亴": [ + "ㄧㄡ4" + ], + "亵": [ + "ㄒㄧㄝ4" + ], + "亶": [ + "ㄉㄢ3", + "ㄉㄢ4", + "ㄔㄢ2", + "ㄓㄢ1" + ], + "亷": [ + "ㄌㄧㄢ2" + ], + "亸": [ + "ㄉㄨㄛ3" + ], + "亹": [ + "ㄨㄟ3", + "ㄇㄣ2" + ], + "人": [ + "ㄖㄣ2" + ], + "亻": [ + "ㄖㄣ2" + ], + "亼": [ + "ㄐㄧ2" + ], + "亽": [ + "ㄐㄧ2" + ], + "亾": [ + "ㄨㄤ2" + ], + "亿": [ + "ㄧ4" + ], + "什": [ + "ㄕㄣ2", + "ㄕ2" + ], + "仁": [ + "ㄖㄣ2" + ], + "仂": [ + "ㄌㄜ4", + "ㄌㄧ4" + ], + "仃": [ + "ㄉㄧㄥ1", + "ㄉㄧㄥ3" + ], + "仄": [ + "ㄗㄜ4" + ], + "仅": [ + "ㄐㄧㄣ3", + "ㄈㄨ4", + "ㄋㄨ2", + "ㄐㄧㄣ4" + ], + "仆": [ + "ㄆㄨ1", + "ㄆㄨ2" + ], + "仇": [ + "ㄔㄡ2", + "ㄑㄧㄡ2", + "ㄐㄩ1" + ], + "仈": [ + "ㄅㄚ1" + ], + "仉": [ + "ㄓㄤ3" + ], + "今": [ + "ㄐㄧㄣ1" + ], + "介": [ + "ㄐㄧㄝ4", + "ㄍㄜ4" + ], + "仌": [ + "ㄅㄧㄥ1" + ], + "仍": [ + "ㄖㄥ2" + ], + "从": [ + "ㄘㄨㄥ2", + "ㄗㄨㄥ4" + ], + "仏": [ + "ㄈㄛ2" + ], + "仐": [ + "ㄙㄢ3" + ], + "仑": [ + "ㄌㄨㄣ2" + ], + "仒": [ + "ㄅㄧㄥ1" + ], + "仓": [ + "ㄘㄤ1" + ], + "仔": [ + "ㄗㄞ3", + "ㄗ3", + "ㄗ1" + ], + "仕": [ + "ㄕ4" + ], + "他": [ + "ㄊㄚ1", + "ㄊㄨㄛ2" + ], + "仗": [ + "ㄓㄤ4" + ], + "付": [ + "ㄈㄨ4" + ], + "仙": [ + "ㄒㄧㄢ1", + "ㄒㄧㄢ3" + ], + "仚": [ + "ㄒㄧㄢ1" + ], + "仛": [ + "ㄊㄨㄛ1", + "ㄉㄨㄛ2", + "ㄔㄚ4", + "ㄓㄜ2" + ], + "仜": [ + "ㄏㄨㄥ2" + ], + "仝": [ + "ㄊㄨㄥ2" + ], + "仞": [ + "ㄖㄣ4" + ], + "仟": [ + "ㄑㄧㄢ1" + ], + "仠": [ + "ㄍㄢ3", + "ㄏㄢ4" + ], + "仡": [ + "ㄍㄜ1", + "ㄧ4", + "ㄨ4" + ], + "仢": [ + "ㄅㄛ2" + ], + "代": [ + "ㄉㄞ4" + ], + "令": [ + "ㄌㄧㄥ4", + "ㄌㄧㄥ2", + "ㄌㄧㄥ3", + "ㄌㄧㄢ2" + ], + "以": [ + "ㄧ3", + "ㄙ4" + ], + "仦": [ + "ㄔㄠ4" + ], + "仧": [ + "ㄔㄤ2" + ], + "仨": [ + "ㄙㄚ1" + ], + "仩": [ + "ㄔㄤ2" + ], + "仪": [ + "ㄧ2" + ], + "仫": [ + "ㄇㄨ4" + ], + "们": [ + "ㄇㄣ5", + "ㄇㄣ2" + ], + "仭": [ + "ㄖㄣ4" + ], + "仮": [ + "ㄈㄢ3" + ], + "仯": [ + "ㄔㄠ4", + "ㄇㄧㄠ3" + ], + "仰": [ + "ㄧㄤ3", + "ㄤ2" + ], + "仱": [ + "ㄑㄧㄢ2", + "ㄐㄧㄥ1" + ], + "仲": [ + "ㄓㄨㄥ4" + ], + "仳": [ + "ㄆㄧ3", + "ㄆㄧ2", + "ㄅㄧ4" + ], + "仴": [ + "ㄨㄛ4" + ], + "仵": [ + "ㄨ3" + ], + "件": [ + "ㄐㄧㄢ4", + "ㄇㄡ2" + ], + "价": [ + "ㄐㄧㄚ4", + "ㄐㄧㄝ5", + "ㄐㄧㄝ4" + ], + "仸": [ + "ㄧㄠ3", + "ㄈㄛ2" + ], + "仹": [ + "ㄈㄥ1" + ], + "仺": [ + "ㄘㄤ1" + ], + "任": [ + "ㄖㄣ4", + "ㄖㄣ2", + "ㄌㄧㄣ4" + ], + "仼": [ + "ㄨㄤ2" + ], + "份": [ + "ㄈㄣ4", + "ㄅㄧㄣ1" + ], + "仾": [ + "ㄉㄧ1" + ], + "仿": [ + "ㄈㄤ3", + "ㄆㄤ2" + ], + "伀": [ + "ㄓㄨㄥ1" + ], + "企": [ + "ㄑㄧ3" + ], + "伂": [ + "ㄆㄟ4" + ], + "伃": [ + "ㄩ2", + "ㄩ3", + "ㄒㄩ4" + ], + "伄": [ + "ㄉㄧㄠ4" + ], + "伅": [ + "ㄉㄨㄣ4" + ], + "伆": [ + "ㄨ4" + ], + "伇": [ + "ㄧ4" + ], + "伈": [ + "ㄒㄧㄣ3", + "ㄌㄧㄣ3" + ], + "伉": [ + "ㄎㄤ4", + "ㄍㄤ1", + "ㄎㄤ3" + ], + "伊": [ + "ㄧ1" + ], + "伋": [ + "ㄐㄧ2", + "ㄈㄢ2" + ], + "伌": [ + "ㄞ4" + ], + "伍": [ + "ㄨ3" + ], + "伎": [ + "ㄐㄧ4", + "ㄓ4", + "ㄑㄧ2", + "ㄑㄧ4" + ], + "伏": [ + "ㄈㄨ2", + "ㄈㄨ4" + ], + "伐": [ + "ㄈㄚ2" + ], + "休": [ + "ㄒㄧㄡ1", + "ㄒㄩ4" + ], + "伒": [ + "ㄐㄧㄣ4", + "ㄧㄣ2" + ], + "伓": [ + "ㄆㄧ1" + ], + "伔": [ + "ㄉㄢ3" + ], + "伕": [ + "ㄈㄨ1" + ], + "伖": [ + "ㄊㄤ3" + ], + "众": [ + "ㄓㄨㄥ4", + "ㄧㄣ2" + ], + "优": [ + "ㄧㄡ1", + "ㄧㄡ2" + ], + "伙": [ + "ㄏㄨㄛ3", + "ㄏㄨㄛ5" + ], + "会": [ + "ㄏㄨㄟ4", + "ㄎㄨㄞ4" + ], + "伛": [ + "ㄩ3" + ], + "伜": [ + "ㄘㄨㄟ4" + ], + "伝": [ + "ㄩㄣ2" + ], + "伞": [ + "ㄙㄢ3" + ], + "伟": [ + "ㄨㄟ3" + ], + "传": [ + "ㄔㄨㄢ2", + "ㄓㄨㄢ4" + ], + "伡": [ + "ㄔㄜ1" + ], + "伢": [ + "ㄧㄚ2" + ], + "伣": [ + "ㄑㄧㄢ4", + "ㄒㄧㄢ4" + ], + "伤": [ + "ㄕㄤ1" + ], + "伥": [ + "ㄔㄤ1" + ], + "伦": [ + "ㄌㄨㄣ2" + ], + "伧": [ + "ㄘㄤ1", + "ㄔㄣ5" + ], + "伨": [ + "ㄒㄩㄣ4" + ], + "伩": [ + "ㄒㄧㄣ4" + ], + "伪": [ + "ㄨㄟ3" + ], + "伫": [ + "ㄓㄨ4" + ], + "伬": [ + "ㄗㄜ5" + ], + "伭": [ + "ㄒㄧㄢ2" + ], + "伮": [ + "ㄋㄨ3" + ], + "伯": [ + "ㄅㄛ2", + "ㄅㄞ3", + "ㄇㄛ4", + "ㄅㄚ4" + ], + "估": [ + "ㄍㄨ1", + "ㄍㄨ4" + ], + "伱": [ + "ㄋㄧ3" + ], + "伲": [ + "ㄋㄧ4", + "ㄋㄧ2", + "ㄋㄧ3" + ], + "伳": [ + "ㄒㄧㄝ4" + ], + "伴": [ + "ㄅㄢ4", + "ㄆㄢ4" + ], + "伵": [ + "ㄒㄩ4" + ], + "伶": [ + "ㄌㄧㄥ2" + ], + "伷": [ + "ㄓㄡ4" + ], + "伸": [ + "ㄕㄣ1" + ], + "伹": [ + "ㄑㄩ1", + "ㄗㄨ4" + ], + "伺": [ + "ㄘ4", + "ㄙ4" + ], + "伻": [ + "ㄅㄥ1" + ], + "似": [ + "ㄕ4", + "ㄙ4" + ], + "伽": [ + "ㄍㄚ1", + "ㄐㄧㄚ1", + "ㄑㄧㄝ2" + ], + "伾": [ + "ㄆㄧ1" + ], + "伿": [ + "ㄧ4" + ], + "佀": [ + "ㄙ4" + ], + "佁": [ + "ㄧ3", + "ㄞ3", + "ㄙ4", + "ㄔ4" + ], + "佂": [ + "ㄓㄥ1" + ], + "佃": [ + "ㄉㄧㄢ4", + "ㄊㄧㄢ2" + ], + "佄": [ + "ㄏㄢ1", + "ㄍㄢ4" + ], + "佅": [ + "ㄇㄞ4" + ], + "但": [ + "ㄉㄢ4", + "ㄊㄢ3", + "ㄧㄢ4" + ], + "佇": [ + "ㄓㄨ4" + ], + "佈": [ + "ㄅㄨ4" + ], + "佉": [ + "ㄑㄩ1", + "ㄑㄧㄚ1" + ], + "佊": [ + "ㄅㄧ3" + ], + "佋": [ + "ㄓㄠ1", + "ㄕㄠ2", + "ㄕㄠ4" + ], + "佌": [ + "ㄘ3" + ], + "位": [ + "ㄨㄟ4", + "ㄌㄧ4" + ], + "低": [ + "ㄉㄧ1" + ], + "住": [ + "ㄓㄨ4" + ], + "佐": [ + "ㄗㄨㄛ3" + ], + "佑": [ + "ㄧㄡ4" + ], + "佒": [ + "ㄧㄤ3", + "ㄧㄤ1" + ], + "体": [ + "ㄊㄧ3", + "ㄊㄧ1", + "ㄅㄣ4", + "ㄘㄨㄟ4" + ], + "佔": [ + "ㄓㄢ4", + "ㄔㄢ1", + "ㄉㄧㄢ1" + ], + "何": [ + "ㄏㄜ2", + "ㄏㄜ4" + ], + "佖": [ + "ㄅㄧ4" + ], + "佗": [ + "ㄊㄨㄛ2", + "ㄊㄨㄛ1", + "ㄊㄨㄛ4", + "ㄧ2" + ], + "佘": [ + "ㄕㄜ2" + ], + "余": [ + "ㄩ2", + "ㄊㄨ2", + "ㄒㄩ2", + "ㄩ4" + ], + "佚": [ + "ㄧ4", + "ㄉㄧㄝ2" + ], + "佛": [ + "ㄈㄨ2", + "ㄈㄛ2", + "ㄅㄛ2", + "ㄅㄧ4" + ], + "作": [ + "ㄗㄨㄛ4", + "ㄗㄨㄛ1", + "ㄗㄨㄛ2" + ], + "佝": [ + "ㄍㄡ1", + "ㄎㄡ4", + "ㄐㄩ1" + ], + "佞": [ + "ㄋㄧㄥ4" + ], + "佟": [ + "ㄊㄨㄥ2" + ], + "你": [ + "ㄋㄧ3" + ], + "佡": [ + "ㄒㄧㄢ1" + ], + "佢": [ + "ㄑㄩ2" + ], + "佣": [ + "ㄩㄥ1", + "ㄩㄥ4" + ], + "佤": [ + "ㄨㄚ3" + ], + "佥": [ + "ㄑㄧㄢ1" + ], + "佦": [ + "ㄕ5" + ], + "佧": [ + "ㄎㄚ3" + ], + "佨": [ + "ㄅㄠ1" + ], + "佩": [ + "ㄆㄟ4" + ], + "佪": [ + "ㄏㄨㄟ2", + "ㄏㄨㄞ2" + ], + "佫": [ + "ㄏㄜ4", + "ㄍㄜ2" + ], + "佬": [ + "ㄌㄠ3", + "ㄌㄧㄠ2" + ], + "佭": [ + "ㄒㄧㄤ2" + ], + "佮": [ + "ㄍㄜ2", + "ㄜ2" + ], + "佯": [ + "ㄧㄤ2" + ], + "佰": [ + "ㄅㄞ3", + "ㄇㄛ4" + ], + "佱": [ + "ㄈㄚ3" + ], + "佲": [ + "ㄇㄧㄥ3" + ], + "佳": [ + "ㄐㄧㄚ1" + ], + "佴": [ + "ㄦ4", + "ㄋㄞ4" + ], + "併": [ + "ㄅㄧㄥ4" + ], + "佶": [ + "ㄐㄧ2" + ], + "佷": [ + "ㄏㄣ3", + "ㄏㄥ2" + ], + "佸": [ + "ㄏㄨㄛ2" + ], + "佹": [ + "ㄍㄨㄟ3", + "ㄍㄨㄟ1" + ], + "佺": [ + "ㄑㄩㄢ2" + ], + "佻": [ + "ㄊㄧㄠ1", + "ㄊㄧㄠ2", + "ㄊㄧㄠ4", + "ㄉㄧㄠ3", + "ㄧㄠ2", + "ㄉㄠ4", + "ㄓㄠ4" + ], + "佼": [ + "ㄐㄧㄠ3", + "ㄐㄧㄠ1", + "ㄒㄧㄠ2" + ], + "佽": [ + "ㄘ4" + ], + "佾": [ + "ㄧ4" + ], + "使": [ + "ㄕ3" + ], + "侀": [ + "ㄒㄧㄥ2" + ], + "侁": [ + "ㄕㄣ1" + ], + "侂": [ + "ㄊㄨㄛ1" + ], + "侃": [ + "ㄎㄢ3" + ], + "侄": [ + "ㄓ2" + ], + "侅": [ + "ㄍㄞ1", + "ㄏㄞ4" + ], + "來": [ + "ㄌㄞ2", + "ㄌㄞ4" + ], + "侇": [ + "ㄧ2" + ], + "侈": [ + "ㄔ3" + ], + "侉": [ + "ㄎㄨㄚ3", + "ㄏㄨㄚ2", + "ㄜ4", + "ㄨ2" + ], + "侊": [ + "ㄍㄨㄤ1" + ], + "例": [ + "ㄌㄧ4", + "ㄌㄧㄝ4" + ], + "侌": [ + "ㄧㄣ1" + ], + "侍": [ + "ㄕ4" + ], + "侎": [ + "ㄇㄧ3" + ], + "侏": [ + "ㄓㄨ1", + "ㄓㄡ1" + ], + "侐": [ + "ㄒㄩ4" + ], + "侑": [ + "ㄧㄡ4" + ], + "侒": [ + "ㄢ1", + "ㄢ3" + ], + "侓": [ + "ㄌㄨ4" + ], + "侔": [ + "ㄇㄡ2", + "ㄇㄠ2" + ], + "侕": [ + "ㄦ2" + ], + "侖": [ + "ㄌㄨㄣ2", + "ㄌㄨㄣ4" + ], + "侗": [ + "ㄉㄨㄥ4", + "ㄊㄨㄥ1", + "ㄊㄨㄥ2", + "ㄊㄨㄥ3" + ], + "侘": [ + "ㄔㄚ4" + ], + "侙": [ + "ㄔ1" + ], + "侚": [ + "ㄒㄩㄣ4", + "ㄒㄩㄣ2" + ], + "供": [ + "ㄍㄨㄥ1", + "ㄍㄨㄥ4" + ], + "侜": [ + "ㄓㄡ1" + ], + "依": [ + "ㄧ1", + "ㄧ3" + ], + "侞": [ + "ㄖㄨ2" + ], + "侟": [ + "ㄘㄨㄣ2", + "ㄐㄧㄢ4" + ], + "侠": [ + "ㄒㄧㄚ2" + ], + "価": [ + "ㄙ4" + ], + "侢": [ + "ㄉㄞ4" + ], + "侣": [ + "ㄌㄩ3" + ], + "侤": [ + "ㄊㄚ5" + ], + "侥": [ + "ㄐㄧㄠ3", + "ㄧㄠ2" + ], + "侦": [ + "ㄓㄣ1" + ], + "侧": [ + "ㄘㄜ4", + "ㄗㄜ4", + "ㄓㄞ1" + ], + "侨": [ + "ㄑㄧㄠ2" + ], + "侩": [ + "ㄎㄨㄞ4" + ], + "侪": [ + "ㄔㄞ2" + ], + "侫": [ + "ㄋㄧㄥ4" + ], + "侬": [ + "ㄋㄨㄥ2" + ], + "侭": [ + "ㄐㄧㄣ3" + ], + "侮": [ + "ㄨ3" + ], + "侯": [ + "ㄏㄡ2", + "ㄏㄡ4" + ], + "侰": [ + "ㄐㄩㄥ3" + ], + "侱": [ + "ㄔㄥ3", + "ㄊㄧㄥ3" + ], + "侲": [ + "ㄓㄣ4", + "ㄓㄣ1", + "ㄔㄣ1" + ], + "侳": [ + "ㄗㄨㄛ4" + ], + "侴": [ + "ㄔㄡ3" + ], + "侵": [ + "ㄑㄧㄣ1", + "ㄑㄧㄣ3" + ], + "侶": [ + "ㄌㄩ3" + ], + "侷": [ + "ㄐㄩ2" + ], + "侸": [ + "ㄕㄨ4", + "ㄉㄡ1" + ], + "侹": [ + "ㄊㄧㄥ3" + ], + "侺": [ + "ㄕㄣ4" + ], + "侻": [ + "ㄊㄨㄟ4", + "ㄊㄨㄛ1" + ], + "侼": [ + "ㄅㄛ2" + ], + "侽": [ + "ㄋㄢ2" + ], + "侾": [ + "ㄒㄧㄠ1" + ], + "便": [ + "ㄅㄧㄢ4", + "ㄆㄧㄢ2", + "ㄅㄧㄢ1" + ], + "俀": [ + "ㄊㄨㄟ3" + ], + "俁": [ + "ㄩ3" + ], + "係": [ + "ㄒㄧ4" + ], + "促": [ + "ㄘㄨ4", + "ㄔㄨㄛ4" + ], + "俄": [ + "ㄜ2" + ], + "俅": [ + "ㄑㄧㄡ2" + ], + "俆": [ + "ㄒㄩ2", + "ㄕㄨ1" + ], + "俇": [ + "ㄍㄨㄤ4" + ], + "俈": [ + "ㄎㄨ4" + ], + "俉": [ + "ㄨ3", + "ㄨ2" + ], + "俊": [ + "ㄐㄩㄣ4", + "ㄕㄨㄣ4", + "ㄉㄨㄣ1" + ], + "俋": [ + "ㄧ4" + ], + "俌": [ + "ㄈㄨ3" + ], + "俍": [ + "ㄌㄧㄤ2", + "ㄌㄤ3" + ], + "俎": [ + "ㄗㄨ3" + ], + "俏": [ + "ㄑㄧㄠ4", + "ㄒㄧㄠ4", + "ㄒㄧㄠ1" + ], + "俐": [ + "ㄌㄧ4" + ], + "俑": [ + "ㄩㄥ3" + ], + "俒": [ + "ㄏㄨㄣ4" + ], + "俓": [ + "ㄐㄧㄥ4", + "ㄧㄥ2" + ], + "俔": [ + "ㄑㄧㄢ4", + "ㄒㄧㄢ4" + ], + "俕": [ + "ㄙㄢ4" + ], + "俖": [ + "ㄆㄟ3" + ], + "俗": [ + "ㄙㄨ2" + ], + "俘": [ + "ㄈㄨ2" + ], + "俙": [ + "ㄒㄧ1" + ], + "俚": [ + "ㄌㄧ3", + "ㄌㄧ4" + ], + "俛": [ + "ㄈㄨ3", + "ㄇㄧㄢ3" + ], + "俜": [ + "ㄆㄧㄥ1" + ], + "保": [ + "ㄅㄠ3" + ], + "俞": [ + "ㄩ2", + "ㄕㄨ4" + ], + "俟": [ + "ㄑㄧ2", + "ㄙ4" + ], + "俠": [ + "ㄒㄧㄚ2" + ], + "信": [ + "ㄒㄧㄣ4", + "ㄕㄣ1" + ], + "俢": [ + "ㄒㄧㄡ1" + ], + "俣": [ + "ㄩ3" + ], + "俤": [ + "ㄉㄧ4" + ], + "俥": [ + "ㄔㄜ1", + "ㄐㄩ1" + ], + "俦": [ + "ㄔㄡ2" + ], + "俧": [ + "ㄓ4" + ], + "俨": [ + "ㄧㄢ3" + ], + "俩": [ + "ㄌㄧㄚ3", + "ㄌㄧㄤ3" + ], + "俪": [ + "ㄌㄧ4" + ], + "俫": [ + "ㄌㄞ2" + ], + "俬": [ + "ㄙ1" + ], + "俭": [ + "ㄐㄧㄢ3" + ], + "修": [ + "ㄒㄧㄡ1" + ], + "俯": [ + "ㄈㄨ3" + ], + "俰": [ + "ㄏㄨㄛ4" + ], + "俱": [ + "ㄐㄩ4", + "ㄐㄩ1" + ], + "俲": [ + "ㄒㄧㄠ4" + ], + "俳": [ + "ㄆㄞ2" + ], + "俴": [ + "ㄐㄧㄢ4" + ], + "俵": [ + "ㄅㄧㄠ4" + ], + "俶": [ + "ㄔㄨ4", + "ㄕㄨ1", + "ㄊㄧ4" + ], + "俷": [ + "ㄈㄟ4" + ], + "俸": [ + "ㄈㄥ4", + "ㄅㄥ3" + ], + "俹": [ + "ㄧㄚ4", + "ㄧㄚ1" + ], + "俺": [ + "ㄢ3", + "ㄧㄢ4" + ], + "俻": [ + "ㄅㄟ4" + ], + "俼": [ + "ㄩ4" + ], + "俽": [ + "ㄒㄧㄣ1" + ], + "俾": [ + "ㄅㄧ3", + "ㄅㄧ4", + "ㄅㄟ1", + "ㄆㄧ4" + ], + "俿": [ + "ㄏㄨ3", + "ㄔ2" + ], + "倀": [ + "ㄔㄤ1", + "ㄔㄥ2", + "ㄓㄥ4" + ], + "倁": [ + "ㄓ1" + ], + "倂": [ + "ㄅㄧㄥ4" + ], + "倃": [ + "ㄐㄧㄡ4" + ], + "倄": [ + "ㄧㄠ2" + ], + "倅": [ + "ㄘㄨㄟ4", + "ㄗㄨ2" + ], + "倆": [ + "ㄌㄧㄚ3", + "ㄌㄧㄤ3" + ], + "倇": [ + "ㄨㄢ3" + ], + "倈": [ + "ㄌㄞ2", + "ㄌㄞ4", + "ㄌㄧㄝ1" + ], + "倉": [ + "ㄘㄤ1", + "ㄔㄨㄤ4" + ], + "倊": [ + "ㄗㄨㄥ4" + ], + "個": [ + "ㄍㄜ4", + "ㄍㄜ3" + ], + "倌": [ + "ㄍㄨㄢ1" + ], + "倍": [ + "ㄅㄟ4", + "ㄆㄟ2" + ], + "倎": [ + "ㄊㄧㄢ3" + ], + "倏": [ + "ㄕㄨ1" + ], + "倐": [ + "ㄕㄨ1" + ], + "們": [ + "ㄇㄣ5", + "ㄇㄣ4", + "ㄇㄣ2" + ], + "倒": [ + "ㄉㄠ4", + "ㄉㄠ3" + ], + "倓": [ + "ㄊㄢ2", + "ㄉㄢ4", + "ㄊㄢ4" + ], + "倔": [ + "ㄐㄩㄝ2", + "ㄐㄩㄝ4" + ], + "倕": [ + "ㄔㄨㄟ2", + "ㄓㄨㄟ4" + ], + "倖": [ + "ㄒㄧㄥ4" + ], + "倗": [ + "ㄆㄥ2", + "ㄆㄥ3", + "ㄆㄧㄥ2" + ], + "倘": [ + "ㄊㄤ3", + "ㄔㄤ2" + ], + "候": [ + "ㄏㄡ4" + ], + "倚": [ + "ㄧ3", + "ㄐㄧ1", + "ㄧ1" + ], + "倛": [ + "ㄑㄧ1", + "ㄑㄧ2", + "ㄑㄧ4" + ], + "倜": [ + "ㄊㄧ4", + "ㄉㄧㄠ4", + "ㄓㄡ1" + ], + "倝": [ + "ㄍㄢ4" + ], + "倞": [ + "ㄐㄧㄥ4", + "ㄌㄧㄤ4" + ], + "借": [ + "ㄐㄧㄝ4" + ], + "倠": [ + "ㄙㄨㄟ1" + ], + "倡": [ + "ㄔㄤ4", + "ㄔㄤ1" + ], + "倢": [ + "ㄐㄧㄝ2", + "ㄑㄧㄝ4" + ], + "倣": [ + "ㄈㄤ3" + ], + "値": [ + "ㄓ2" + ], + "倥": [ + "ㄎㄨㄥ1", + "ㄎㄨㄥ3" + ], + "倦": [ + "ㄐㄩㄢ4" + ], + "倧": [ + "ㄗㄨㄥ1" + ], + "倨": [ + "ㄐㄩ4" + ], + "倩": [ + "ㄑㄧㄢ4", + "ㄑㄧㄥ4" + ], + "倪": [ + "ㄋㄧ2", + "ㄋㄧ4", + "ㄋㄧㄝ4" + ], + "倫": [ + "ㄌㄨㄣ2" + ], + "倬": [ + "ㄓㄨㄛ1" + ], + "倭": [ + "ㄨㄛ1", + "ㄨㄟ1", + "ㄨㄛ3" + ], + "倮": [ + "ㄌㄨㄛ3" + ], + "倯": [ + "ㄙㄨㄥ1" + ], + "倰": [ + "ㄌㄥ4", + "ㄌㄧㄥ2" + ], + "倱": [ + "ㄏㄨㄣ4" + ], + "倲": [ + "ㄉㄨㄥ1", + "ㄉㄨㄥ4" + ], + "倳": [ + "ㄗ4" + ], + "倴": [ + "ㄅㄣ4", + "ㄅㄣ1" + ], + "倵": [ + "ㄨ3" + ], + "倶": [ + "ㄐㄩ4" + ], + "倷": [ + "ㄋㄞ3" + ], + "倸": [ + "ㄘㄞ3" + ], + "倹": [ + "ㄐㄧㄢ3" + ], + "债": [ + "ㄓㄞ4" + ], + "倻": [ + "ㄧㄝ1" + ], + "值": [ + "ㄓ2" + ], + "倽": [ + "ㄕㄚ4" + ], + "倾": [ + "ㄑㄧㄥ1" + ], + "倿": [ + "ㄋㄧㄥ4" + ], + "偀": [ + "ㄧㄥ1" + ], + "偁": [ + "ㄔㄥ1" + ], + "偂": [ + "ㄑㄧㄢ2" + ], + "偃": [ + "ㄧㄢ3" + ], + "偄": [ + "ㄖㄨㄢ3", + "ㄖㄨ2" + ], + "偅": [ + "ㄓㄨㄥ4", + "ㄔㄨㄥ1", + "ㄊㄨㄥ2" + ], + "偆": [ + "ㄔㄨㄣ3" + ], + "假": [ + "ㄐㄧㄚ3", + "ㄐㄧㄚ4", + "ㄐㄧㄝ5", + "ㄒㄧㄚ4", + "ㄒㄧㄚ2", + "ㄍㄜ2" + ], + "偈": [ + "ㄐㄧ4", + "ㄐㄧㄝ2", + "ㄑㄧ4" + ], + "偉": [ + "ㄨㄟ3" + ], + "偊": [ + "ㄩ3" + ], + "偋": [ + "ㄅㄧㄥ4", + "ㄅㄧㄥ3" + ], + "偌": [ + "ㄖㄨㄛ4", + "ㄖㄜ4" + ], + "偍": [ + "ㄊㄧ2" + ], + "偎": [ + "ㄨㄟ1" + ], + "偏": [ + "ㄆㄧㄢ1" + ], + "偐": [ + "ㄧㄢ4" + ], + "偑": [ + "ㄈㄥ1" + ], + "偒": [ + "ㄊㄤ3", + "ㄉㄤ4" + ], + "偓": [ + "ㄨㄛ4" + ], + "偔": [ + "ㄜ4" + ], + "偕": [ + "ㄒㄧㄝ2", + "ㄐㄧㄝ1" + ], + "偖": [ + "ㄔㄜ3" + ], + "偗": [ + "ㄕㄥ3" + ], + "偘": [ + "ㄎㄢ3" + ], + "偙": [ + "ㄉㄧ4" + ], + "做": [ + "ㄗㄨㄛ4" + ], + "偛": [ + "ㄔㄚ1" + ], + "停": [ + "ㄊㄧㄥ2" + ], + "偝": [ + "ㄅㄟ4" + ], + "偞": [ + "ㄒㄧㄝ4", + "ㄧㄝ4", + "ㄓㄚ2" + ], + "偟": [ + "ㄏㄨㄤ2" + ], + "偠": [ + "ㄧㄠ3" + ], + "偡": [ + "ㄓㄢ4" + ], + "偢": [ + "ㄔㄡ3", + "ㄑㄧㄠ4", + "ㄗㄡ1" + ], + "偣": [ + "ㄧㄢ1" + ], + "偤": [ + "ㄧㄡ2" + ], + "健": [ + "ㄐㄧㄢ4" + ], + "偦": [ + "ㄒㄩ3", + "ㄒㄩ1" + ], + "偧": [ + "ㄓㄚ1" + ], + "偨": [ + "ㄘ1" + ], + "偩": [ + "ㄈㄨ4" + ], + "偪": [ + "ㄅㄧ1", + "ㄈㄨ4" + ], + "偫": [ + "ㄓ4" + ], + "偬": [ + "ㄗㄨㄥ3", + "ㄘㄨㄥ1" + ], + "偭": [ + "ㄇㄧㄢ3" + ], + "偮": [ + "ㄐㄧ2" + ], + "偯": [ + "ㄧ3" + ], + "偰": [ + "ㄒㄧㄝ4" + ], + "偱": [ + "ㄒㄩㄣ2" + ], + "偲": [ + "ㄘㄞ1", + "ㄙ1", + "ㄙ3" + ], + "偳": [ + "ㄉㄨㄢ1" + ], + "側": [ + "ㄘㄜ4", + "ㄗㄜ4", + "ㄓㄞ1" + ], + "偵": [ + "ㄓㄣ1", + "ㄓㄥ1" + ], + "偶": [ + "ㄡ3" + ], + "偷": [ + "ㄊㄡ1" + ], + "偸": [ + "ㄊㄡ1" + ], + "偹": [ + "ㄅㄟ4" + ], + "偺": [ + "ㄗㄚ2", + "ㄗㄢ2", + "ㄗㄢ5" + ], + "偻": [ + "ㄌㄡ2", + "ㄌㄩ3" + ], + "偼": [ + "ㄐㄧㄝ2" + ], + "偽": [ + "ㄨㄟ3", + "ㄨㄟ2", + "ㄜ2", + "ㄍㄨㄟ4" + ], + "偾": [ + "ㄈㄣ4" + ], + "偿": [ + "ㄔㄤ2" + ], + "傀": [ + "ㄍㄨㄟ1", + "ㄎㄨㄟ3", + "ㄎㄨㄞ4" + ], + "傁": [ + "ㄙㄡ3" + ], + "傂": [ + "ㄓ4", + "ㄙ1" + ], + "傃": [ + "ㄙㄨ4" + ], + "傄": [ + "ㄒㄧㄚ1" + ], + "傅": [ + "ㄈㄨ4", + "ㄈㄨ1" + ], + "傆": [ + "ㄩㄢ4", + "ㄩㄢ2" + ], + "傇": [ + "ㄖㄨㄥ3" + ], + "傈": [ + "ㄌㄧ4" + ], + "傉": [ + "ㄋㄨ4" + ], + "傊": [ + "ㄩㄣ4" + ], + "傋": [ + "ㄐㄧㄤ3", + "ㄍㄡ4" + ], + "傌": [ + "ㄇㄚ4", + "ㄇㄚ3" + ], + "傍": [ + "ㄅㄤ4", + "ㄆㄤ2", + "ㄅㄥ1", + "ㄆㄥ2" + ], + "傎": [ + "ㄉㄧㄢ1" + ], + "傏": [ + "ㄊㄤ2" + ], + "傐": [ + "ㄏㄠ4" + ], + "傑": [ + "ㄐㄧㄝ2" + ], + "傒": [ + "ㄒㄧ1", + "ㄒㄧ4" + ], + "傓": [ + "ㄕㄢ4" + ], + "傔": [ + "ㄑㄧㄢ4", + "ㄐㄧㄢ1" + ], + "傕": [ + "ㄐㄩㄝ2", + "ㄑㄩㄝ4" + ], + "傖": [ + "ㄘㄤ1", + "ㄔㄥ2", + "ㄔㄣ5" + ], + "傗": [ + "ㄔㄨ4" + ], + "傘": [ + "ㄙㄢ3" + ], + "備": [ + "ㄅㄟ4" + ], + "傚": [ + "ㄒㄧㄠ4" + ], + "傛": [ + "ㄩㄥ3", + "ㄖㄨㄥ2" + ], + "傜": [ + "ㄧㄠ2" + ], + "傝": [ + "ㄊㄢ4", + "ㄊㄚ4" + ], + "傞": [ + "ㄙㄨㄛ1" + ], + "傟": [ + "ㄧㄤ3" + ], + "傠": [ + "ㄈㄚ2" + ], + "傡": [ + "ㄅㄧㄥ4" + ], + "傢": [ + "ㄐㄧㄚ1", + "ㄒㄧㄤ4" + ], + "傣": [ + "ㄉㄞ3" + ], + "傤": [ + "ㄗㄞ4" + ], + "傥": [ + "ㄊㄤ3" + ], + "傦": [ + "ㄍㄨ3" + ], + "傧": [ + "ㄅㄧㄣ1" + ], + "储": [ + "ㄔㄨ3" + ], + "傩": [ + "ㄋㄨㄛ2" + ], + "傪": [ + "ㄘㄢ1", + "ㄙㄢ3", + "ㄘㄢ4", + "ㄘㄚ1", + "ㄙㄣ1" + ], + "傫": [ + "ㄌㄟ3" + ], + "催": [ + "ㄘㄨㄟ1" + ], + "傭": [ + "ㄩㄥ1", + "ㄔㄨㄥ1", + "ㄩㄥ4" + ], + "傮": [ + "ㄗㄠ1", + "ㄘㄠ2" + ], + "傯": [ + "ㄗㄨㄥ3" + ], + "傰": [ + "ㄅㄥ1", + "ㄆㄥ2" + ], + "傱": [ + "ㄙㄨㄥ3", + "ㄕㄨㄤ3" + ], + "傲": [ + "ㄠ4", + "ㄠ2" + ], + "傳": [ + "ㄔㄨㄢ2", + "ㄓㄨㄢ4" + ], + "傴": [ + "ㄩ3" + ], + "債": [ + "ㄓㄞ4" + ], + "傶": [ + "ㄗㄨ2", + "ㄑㄧ1" + ], + "傷": [ + "ㄕㄤ1" + ], + "傸": [ + "ㄔㄨㄤ3" + ], + "傹": [ + "ㄐㄧㄥ4" + ], + "傺": [ + "ㄔ4" + ], + "傻": [ + "ㄕㄚ3" + ], + "傼": [ + "ㄏㄢ4" + ], + "傽": [ + "ㄓㄤ1" + ], + "傾": [ + "ㄑㄧㄥ1", + "ㄑㄧㄥ3" + ], + "傿": [ + "ㄧㄢ4", + "ㄧㄢ1", + "ㄧㄣ4" + ], + "僀": [ + "ㄉㄧ4" + ], + "僁": [ + "ㄒㄧㄝ4", + "ㄙㄨ4" + ], + "僂": [ + "ㄌㄡ2", + "ㄌㄧㄡ3", + "ㄌㄩ3" + ], + "僃": [ + "ㄅㄟ4" + ], + "僄": [ + "ㄆㄧㄠ4", + "ㄅㄧㄠ1" + ], + "僅": [ + "ㄐㄧㄣ3", + "ㄐㄧㄣ4" + ], + "僆": [ + "ㄌㄧㄢ4", + "ㄌㄧㄢ2" + ], + "僇": [ + "ㄌㄨ4", + "ㄌㄧㄠ2" + ], + "僈": [ + "ㄇㄢ2", + "ㄇㄢ4" + ], + "僉": [ + "ㄑㄧㄢ1" + ], + "僊": [ + "ㄒㄧㄢ1" + ], + "僋": [ + "ㄊㄢ4", + "ㄌㄢ4", + "ㄊㄢ3" + ], + "僌": [ + "ㄧㄥ2" + ], + "働": [ + "ㄉㄨㄥ4" + ], + "僎": [ + "ㄓㄨㄢ4", + "ㄗㄨㄣ1" + ], + "像": [ + "ㄒㄧㄤ4" + ], + "僐": [ + "ㄕㄢ4" + ], + "僑": [ + "ㄑㄧㄠ2", + "ㄐㄧㄠ3" + ], + "僒": [ + "ㄐㄩㄥ3" + ], + "僓": [ + "ㄊㄨㄟ3", + "ㄊㄨㄟ2" + ], + "僔": [ + "ㄗㄨㄣ3", + "ㄘㄨㄢ2" + ], + "僕": [ + "ㄆㄨ2", + "ㄆㄨ1", + "ㄅㄨ2" + ], + "僖": [ + "ㄒㄧ1" + ], + "僗": [ + "ㄌㄠ2", + "ㄌㄠ4" + ], + "僘": [ + "ㄔㄤ3" + ], + "僙": [ + "ㄍㄨㄤ1" + ], + "僚": [ + "ㄌㄧㄠ2", + "ㄌㄧㄠ3", + "ㄌㄠ3" + ], + "僛": [ + "ㄑㄧ1" + ], + "僜": [ + "ㄔㄥ1", + "ㄉㄥ4", + "ㄉㄥ1", + "ㄊㄥ2" + ], + "僝": [ + "ㄔㄢ2", + "ㄓㄨㄢ4" + ], + "僞": [ + "ㄨㄟ3" + ], + "僟": [ + "ㄐㄧ1" + ], + "僠": [ + "ㄅㄛ1" + ], + "僡": [ + "ㄏㄨㄟ4" + ], + "僢": [ + "ㄔㄨㄢ3", + "ㄔㄨㄣ3" + ], + "僣": [ + "ㄊㄧㄝ3", + "ㄐㄧㄢ4" + ], + "僤": [ + "ㄉㄢ4", + "ㄔㄢ2", + "ㄔㄢ3", + "ㄕㄢ4", + "ㄉㄚ2" + ], + "僥": [ + "ㄐㄧㄠ3", + "ㄧㄠ2", + "ㄐㄧㄠ1" + ], + "僦": [ + "ㄐㄧㄡ4" + ], + "僧": [ + "ㄙㄥ1", + "ㄘㄥ2" + ], + "僨": [ + "ㄈㄣ4" + ], + "僩": [ + "ㄒㄧㄢ4" + ], + "僪": [ + "ㄐㄩ2", + "ㄩ4" + ], + "僫": [ + "ㄜ4" + ], + "僬": [ + "ㄐㄧㄠ1", + "ㄐㄧㄠ4", + "ㄐㄧㄠ3" + ], + "僭": [ + "ㄐㄧㄢ4", + "ㄗㄣ4" + ], + "僮": [ + "ㄊㄨㄥ2", + "ㄓㄨㄤ4", + "ㄔㄨㄥ4" + ], + "僯": [ + "ㄌㄧㄣ4", + "ㄌㄧㄣ3" + ], + "僰": [ + "ㄅㄛ2" + ], + "僱": [ + "ㄍㄨ4" + ], + "僲": [ + "ㄒㄧㄢ1" + ], + "僳": [ + "ㄙㄨ4" + ], + "僴": [ + "ㄒㄧㄢ4" + ], + "僵": [ + "ㄐㄧㄤ1" + ], + "僶": [ + "ㄇㄧㄣ3" + ], + "僷": [ + "ㄧㄝ4" + ], + "僸": [ + "ㄐㄧㄣ4" + ], + "價": [ + "ㄐㄧㄚ4", + "ㄑㄧㄚ3", + "ㄐㄧㄝ5" + ], + "僺": [ + "ㄑㄧㄠ4" + ], + "僻": [ + "ㄆㄧ4" + ], + "僼": [ + "ㄈㄥ1" + ], + "僽": [ + "ㄓㄡ4", + "ㄓㄡ1" + ], + "僾": [ + "ㄞ4" + ], + "僿": [ + "ㄙㄞ4" + ], + "儀": [ + "ㄧ2" + ], + "儁": [ + "ㄐㄩㄣ4" + ], + "儂": [ + "ㄋㄨㄥ2" + ], + "儃": [ + "ㄔㄢ2", + "ㄕㄢ4", + "ㄊㄢ3", + "ㄉㄢ4", + "ㄓㄢ3" + ], + "億": [ + "ㄧ4", + "ㄧ1" + ], + "儅": [ + "ㄉㄤ4", + "ㄉㄤ1" + ], + "儆": [ + "ㄐㄧㄥ3" + ], + "儇": [ + "ㄒㄩㄢ1", + "ㄒㄩㄢ2" + ], + "儈": [ + "ㄎㄨㄞ4" + ], + "儉": [ + "ㄐㄧㄢ3" + ], + "儊": [ + "ㄔㄨ4" + ], + "儋": [ + "ㄉㄢ1", + "ㄉㄢ4", + "ㄕㄢ4" + ], + "儌": [ + "ㄐㄧㄠ3", + "ㄐㄧㄠ1" + ], + "儍": [ + "ㄕㄚ3" + ], + "儎": [ + "ㄗㄞ4" + ], + "儏": [ + "ㄘㄢ4" + ], + "儐": [ + "ㄅㄧㄣ1", + "ㄅㄧㄣ4" + ], + "儑": [ + "ㄢ2", + "ㄢ4" + ], + "儒": [ + "ㄖㄨ2" + ], + "儓": [ + "ㄊㄞ2", + "ㄊㄞ4" + ], + "儔": [ + "ㄔㄡ2", + "ㄉㄠ4" + ], + "儕": [ + "ㄔㄞ2" + ], + "儖": [ + "ㄌㄢ2" + ], + "儗": [ + "ㄋㄧ3", + "ㄧ2", + "ㄧ4", + "ㄞ4" + ], + "儘": [ + "ㄐㄧㄣ3", + "ㄐㄧㄣ4" + ], + "儙": [ + "ㄑㄧㄢ4" + ], + "儚": [ + "ㄇㄥ2" + ], + "儛": [ + "ㄨ3" + ], + "儜": [ + "ㄋㄧㄥ2" + ], + "儝": [ + "ㄑㄩㄥ2" + ], + "儞": [ + "ㄋㄧ3" + ], + "償": [ + "ㄔㄤ2" + ], + "儠": [ + "ㄌㄧㄝ4", + "ㄌㄚ4" + ], + "儡": [ + "ㄌㄟ3", + "ㄌㄟ2", + "ㄌㄟ4" + ], + "儢": [ + "ㄌㄩ3" + ], + "儣": [ + "ㄎㄨㄤ3" + ], + "儤": [ + "ㄅㄠ4" + ], + "儥": [ + "ㄩ4", + "ㄉㄧ2", + "ㄉㄨ2" + ], + "儦": [ + "ㄅㄧㄠ1" + ], + "儧": [ + "ㄗㄢ3" + ], + "儨": [ + "ㄓ4" + ], + "儩": [ + "ㄙ4" + ], + "優": [ + "ㄧㄡ1" + ], + "儫": [ + "ㄏㄠ2" + ], + "儬": [ + "ㄑㄧㄥ4" + ], + "儭": [ + "ㄔㄣ4", + "ㄑㄧㄣ4", + "ㄑㄧㄣ1" + ], + "儮": [ + "ㄌㄧ4" + ], + "儯": [ + "ㄊㄥ2" + ], + "儰": [ + "ㄨㄟ3" + ], + "儱": [ + "ㄌㄨㄥ3", + "ㄌㄨㄥ4", + "ㄌㄨㄥ2" + ], + "儲": [ + "ㄔㄨ3", + "ㄔㄨ2" + ], + "儳": [ + "ㄔㄢ2", + "ㄔㄢ4" + ], + "儴": [ + "ㄖㄤ2", + "ㄒㄧㄤ1" + ], + "儵": [ + "ㄕㄨ1", + "ㄊㄧㄠ2" + ], + "儶": [ + "ㄏㄨㄟ4", + "ㄒㄧㄝ2" + ], + "儷": [ + "ㄌㄧ4", + "ㄌㄧ2" + ], + "儸": [ + "ㄌㄨㄛ2" + ], + "儹": [ + "ㄗㄢ3" + ], + "儺": [ + "ㄋㄨㄛ2" + ], + "儻": [ + "ㄊㄤ3", + "ㄊㄤ4", + "ㄔㄤ3" + ], + "儼": [ + "ㄧㄢ3" + ], + "儽": [ + "ㄌㄟ2", + "ㄌㄟ3", + "ㄌㄨㄛ3" + ], + "儾": [ + "ㄋㄤ4" + ], + "儿": [ + "ㄦ2", + "ㄦ5", + "ㄖㄣ2" + ], + "兀": [ + "ㄨ4", + "ㄨ1" + ], + "允": [ + "ㄩㄣ3", + "ㄩㄢ2" + ], + "兂": [ + "ㄗㄢ1" + ], + "元": [ + "ㄩㄢ2" + ], + "兄": [ + "ㄒㄩㄥ1", + "ㄎㄨㄤ4" + ], + "充": [ + "ㄔㄨㄥ1" + ], + "兆": [ + "ㄓㄠ4" + ], + "兇": [ + "ㄒㄩㄥ1" + ], + "先": [ + "ㄒㄧㄢ1" + ], + "光": [ + "ㄍㄨㄤ1", + "ㄍㄨㄤ4" + ], + "兊": [ + "ㄉㄨㄟ4" + ], + "克": [ + "ㄎㄜ4" + ], + "兌": [ + "ㄉㄨㄟ4" + ], + "免": [ + "ㄇㄧㄢ3", + "ㄨㄣ4", + "ㄨㄢ3" + ], + "兎": [ + "ㄊㄨ4" + ], + "兏": [ + "ㄔㄤ2" + ], + "児": [ + "ㄦ2" + ], + "兑": [ + "ㄉㄨㄟ4", + "ㄖㄨㄟ4", + "ㄉㄨㄛ2" + ], + "兒": [ + "ㄦ2", + "ㄋㄧ2" + ], + "兓": [ + "ㄐㄧㄣ1", + "ㄗㄢ4" + ], + "兔": [ + "ㄊㄨ4", + "ㄊㄨ2", + "ㄔㄢ1" + ], + "兕": [ + "ㄙ4" + ], + "兖": [ + "ㄧㄢ3" + ], + "兗": [ + "ㄧㄢ3" + ], + "兘": [ + "ㄕ3" + ], + "党": [ + "ㄉㄤ3" + ], + "兛": [ + "ㄑㄧㄢ1" + ], + "兜": [ + "ㄉㄡ1" + ], + "兝": [ + "ㄈㄣ1" + ], + "兞": [ + "ㄇㄠ2" + ], + "兟": [ + "ㄕㄣ1" + ], + "兠": [ + "ㄉㄡ1" + ], + "兢": [ + "ㄐㄧㄥ1" + ], + "兣": [ + "ㄌㄧ3" + ], + "兤": [ + "ㄏㄨㄤ3" + ], + "入": [ + "ㄖㄨ4" + ], + "兦": [ + "ㄨㄤ2" + ], + "內": [ + "ㄋㄟ4" + ], + "全": [ + "ㄑㄩㄢ2" + ], + "兩": [ + "ㄌㄧㄤ3", + "ㄌㄧㄤ4" + ], + "兪": [ + "ㄩ2", + "ㄩ4", + "ㄕㄨ4", + "ㄕㄨ1", + "ㄓㄨ1" + ], + "八": [ + "ㄅㄚ1", + "ㄅㄚ2" + ], + "公": [ + "ㄍㄨㄥ1" + ], + "六": [ + "ㄌㄧㄡ4", + "ㄌㄨ4" + ], + "兮": [ + "ㄒㄧ1" + ], + "兯": [ + "ㄏㄢ5" + ], + "兰": [ + "ㄌㄢ2" + ], + "共": [ + "ㄍㄨㄥ4", + "ㄍㄨㄥ1", + "ㄍㄨㄥ3", + "ㄏㄨㄥ2" + ], + "兲": [ + "ㄊㄧㄢ1" + ], + "关": [ + "ㄍㄨㄢ1" + ], + "兴": [ + "ㄒㄧㄥ1", + "ㄒㄧㄥ4" + ], + "兵": [ + "ㄅㄧㄥ1" + ], + "其": [ + "ㄑㄧ2", + "ㄐㄧ1", + "ㄐㄧ4" + ], + "具": [ + "ㄐㄩ4" + ], + "典": [ + "ㄉㄧㄢ3", + "ㄊㄧㄢ3" + ], + "兹": [ + "ㄗ1", + "ㄘ2" + ], + "兺": [ + "ㄈㄣ1" + ], + "养": [ + "ㄧㄤ3" + ], + "兼": [ + "ㄐㄧㄢ1" + ], + "兽": [ + "ㄕㄡ4" + ], + "兾": [ + "ㄐㄧ4" + ], + "兿": [ + "ㄧ4" + ], + "冀": [ + "ㄐㄧ4" + ], + "冁": [ + "ㄔㄢ3" + ], + "冂": [ + "ㄐㄩㄥ1", + "ㄐㄩㄥ3" + ], + "冃": [ + "ㄇㄠ4" + ], + "冄": [ + "ㄖㄢ3" + ], + "内": [ + "ㄋㄟ4", + "ㄋㄚ4", + "ㄖㄨㄟ4" + ], + "円": [ + "ㄩㄢ2" + ], + "冇": [ + "ㄇㄠ3" + ], + "冈": [ + "ㄍㄤ1" + ], + "冉": [ + "ㄖㄢ3", + "ㄋㄢ2", + "ㄉㄢ1" + ], + "冊": [ + "ㄘㄜ4" + ], + "冋": [ + "ㄐㄩㄥ1", + "ㄐㄩㄥ3" + ], + "册": [ + "ㄘㄜ4", + "ㄓㄚ4" + ], + "再": [ + "ㄗㄞ4" + ], + "冎": [ + "ㄍㄨㄚ3" + ], + "冏": [ + "ㄐㄩㄥ3", + "ㄐㄩㄥ1" + ], + "冐": [ + "ㄇㄠ4" + ], + "冑": [ + "ㄓㄡ4" + ], + "冒": [ + "ㄇㄠ4", + "ㄇㄛ4" + ], + "冓": [ + "ㄍㄡ4", + "ㄍㄡ1" + ], + "冔": [ + "ㄒㄩ3" + ], + "冕": [ + "ㄇㄧㄢ3" + ], + "冖": [ + "ㄇㄧ4" + ], + "冗": [ + "ㄖㄨㄥ3" + ], + "冘": [ + "ㄧㄣ2", + "ㄧㄡ2" + ], + "写": [ + "ㄒㄧㄝ3", + "ㄒㄧㄝ4" + ], + "冚": [ + "ㄎㄢ3" + ], + "军": [ + "ㄐㄩㄣ1" + ], + "农": [ + "ㄋㄨㄥ2" + ], + "冝": [ + "ㄧ2" + ], + "冞": [ + "ㄇㄧ2" + ], + "冟": [ + "ㄕ4" + ], + "冠": [ + "ㄍㄨㄢ1", + "ㄍㄨㄢ4" + ], + "冡": [ + "ㄇㄥ2" + ], + "冢": [ + "ㄓㄨㄥ3" + ], + "冣": [ + "ㄐㄩ4" + ], + "冤": [ + "ㄩㄢ1" + ], + "冥": [ + "ㄇㄧㄥ2", + "ㄇㄧㄢ2", + "ㄇㄧㄢ4" + ], + "冦": [ + "ㄎㄡ4" + ], + "冧": [ + "ㄌㄧㄣ2" + ], + "冨": [ + "ㄈㄨ4" + ], + "冩": [ + "ㄒㄧㄝ3" + ], + "冪": [ + "ㄇㄧ4" + ], + "冫": [ + "ㄅㄧㄥ1" + ], + "冬": [ + "ㄉㄨㄥ1" + ], + "冭": [ + "ㄊㄞ4" + ], + "冮": [ + "ㄍㄤ1" + ], + "冯": [ + "ㄈㄥ2", + "ㄆㄧㄥ2" + ], + "冰": [ + "ㄅㄧㄥ1", + "ㄋㄧㄥ2" + ], + "冱": [ + "ㄏㄨ4" + ], + "冲": [ + "ㄔㄨㄥ1", + "ㄔㄨㄥ4" + ], + "决": [ + "ㄐㄩㄝ2" + ], + "冴": [ + "ㄏㄨ4" + ], + "况": [ + "ㄎㄨㄤ4" + ], + "冶": [ + "ㄧㄝ3" + ], + "冷": [ + "ㄌㄥ3", + "ㄌㄧㄥ2", + "ㄌㄧㄥ3" + ], + "冸": [ + "ㄆㄢ4" + ], + "冹": [ + "ㄈㄨ2" + ], + "冺": [ + "ㄇㄧㄣ3" + ], + "冻": [ + "ㄉㄨㄥ4" + ], + "冼": [ + "ㄒㄧㄢ3", + "ㄕㄥ3" + ], + "冽": [ + "ㄌㄧㄝ4" + ], + "冾": [ + "ㄑㄧㄚ4" + ], + "冿": [ + "ㄐㄧㄢ1" + ], + "净": [ + "ㄐㄧㄥ4", + "ㄔㄥ1" + ], + "凁": [ + "ㄙㄡ1" + ], + "凂": [ + "ㄇㄟ3" + ], + "凃": [ + "ㄊㄨ2" + ], + "凄": [ + "ㄑㄧ1" + ], + "凅": [ + "ㄍㄨ4" + ], + "准": [ + "ㄓㄨㄣ3" + ], + "凇": [ + "ㄙㄨㄥ1" + ], + "凈": [ + "ㄐㄧㄥ4" + ], + "凉": [ + "ㄌㄧㄤ2", + "ㄌㄧㄤ4" + ], + "凊": [ + "ㄑㄧㄥ4" + ], + "凋": [ + "ㄉㄧㄠ1" + ], + "凌": [ + "ㄌㄧㄥ2", + "ㄌㄧㄥ4" + ], + "凍": [ + "ㄉㄨㄥ4" + ], + "凎": [ + "ㄍㄢ4" + ], + "减": [ + "ㄐㄧㄢ3" + ], + "凐": [ + "ㄧㄣ1" + ], + "凑": [ + "ㄘㄡ4" + ], + "凒": [ + "ㄞ2" + ], + "凓": [ + "ㄌㄧ4" + ], + "凔": [ + "ㄔㄨㄤ4", + "ㄘㄤ1" + ], + "凕": [ + "ㄇㄧㄥ3" + ], + "凖": [ + "ㄓㄨㄣ3" + ], + "凗": [ + "ㄘㄨㄟ1" + ], + "凘": [ + "ㄙ1" + ], + "凙": [ + "ㄉㄨㄛ2" + ], + "凚": [ + "ㄐㄧㄣ4" + ], + "凛": [ + "ㄌㄧㄣ3" + ], + "凜": [ + "ㄌㄧㄣ3" + ], + "凝": [ + "ㄋㄧㄥ2" + ], + "凞": [ + "ㄒㄧ1" + ], + "凟": [ + "ㄉㄨ2" + ], + "几": [ + "ㄐㄧ3", + "ㄐㄧ1" + ], + "凡": [ + "ㄈㄢ2" + ], + "凢": [ + "ㄈㄢ2" + ], + "凣": [ + "ㄈㄢ2" + ], + "凤": [ + "ㄈㄥ4" + ], + "凥": [ + "ㄐㄩ1" + ], + "処": [ + "ㄔㄨ3", + "ㄔㄨ4" + ], + "凧": [ + "ㄓㄥ1" + ], + "凨": [ + "ㄈㄥ1" + ], + "凩": [ + "ㄇㄨ4" + ], + "凪": [ + "ㄓ3" + ], + "凫": [ + "ㄈㄨ2" + ], + "凬": [ + "ㄈㄥ1" + ], + "凭": [ + "ㄆㄧㄥ2" + ], + "凮": [ + "ㄈㄥ1" + ], + "凯": [ + "ㄎㄞ3" + ], + "凰": [ + "ㄏㄨㄤ2" + ], + "凱": [ + "ㄎㄞ3" + ], + "凲": [ + "ㄍㄢ1" + ], + "凳": [ + "ㄉㄥ4" + ], + "凴": [ + "ㄆㄧㄥ2" + ], + "凵": [ + "ㄑㄧㄢ3", + "ㄎㄢ3" + ], + "凶": [ + "ㄒㄩㄥ1" + ], + "凷": [ + "ㄎㄨㄞ4" + ], + "凸": [ + "ㄊㄨ1" + ], + "凹": [ + "ㄠ1", + "ㄨㄚ1" + ], + "出": [ + "ㄔㄨ1" + ], + "击": [ + "ㄐㄧ1" + ], + "凼": [ + "ㄉㄤ4" + ], + "函": [ + "ㄏㄢ2" + ], + "凾": [ + "ㄏㄢ2" + ], + "凿": [ + "ㄗㄠ2", + "ㄗㄨㄛ4" + ], + "刀": [ + "ㄉㄠ1", + "ㄉㄧㄠ1" + ], + "刁": [ + "ㄉㄧㄠ1" + ], + "刂": [ + "ㄉㄠ1" + ], + "刃": [ + "ㄖㄣ4" + ], + "刄": [ + "ㄖㄣ4" + ], + "刅": [ + "ㄔㄨㄤ1" + ], + "分": [ + "ㄈㄣ1", + "ㄈㄣ4", + "ㄈㄣ2" + ], + "切": [ + "ㄑㄧㄝ4", + "ㄑㄧㄝ1", + "ㄑㄧ4" + ], + "刈": [ + "ㄧ4" + ], + "刉": [ + "ㄐㄧ1" + ], + "刊": [ + "ㄎㄢ1" + ], + "刋": [ + "ㄑㄧㄢ4" + ], + "刌": [ + "ㄘㄨㄣ3" + ], + "刍": [ + "ㄔㄨ2" + ], + "刎": [ + "ㄨㄣ3" + ], + "刏": [ + "ㄐㄧ1" + ], + "刐": [ + "ㄉㄢ3" + ], + "刑": [ + "ㄒㄧㄥ2" + ], + "划": [ + "ㄏㄨㄚ4", + "ㄏㄨㄚ2", + "ㄍㄨㄛ4", + "ㄍㄨㄛ3", + "ㄏㄨㄞ5" + ], + "刓": [ + "ㄨㄢ2" + ], + "刔": [ + "ㄐㄩㄝ2" + ], + "刕": [ + "ㄌㄧ2" + ], + "刖": [ + "ㄩㄝ4" + ], + "列": [ + "ㄌㄧㄝ4", + "ㄌㄧ4" + ], + "刘": [ + "ㄌㄧㄡ2" + ], + "则": [ + "ㄗㄜ2" + ], + "刚": [ + "ㄍㄤ1" + ], + "创": [ + "ㄔㄨㄤ4", + "ㄔㄨㄤ1" + ], + "刜": [ + "ㄈㄨ2" + ], + "初": [ + "ㄔㄨ1" + ], + "刞": [ + "ㄑㄩ4" + ], + "刟": [ + "ㄉㄧㄠ1" + ], + "删": [ + "ㄕㄢ1" + ], + "刡": [ + "ㄇㄧㄣ3" + ], + "刢": [ + "ㄌㄧㄥ2" + ], + "刣": [ + "ㄓㄨㄥ1" + ], + "判": [ + "ㄆㄢ4" + ], + "別": [ + "ㄅㄧㄝ2" + ], + "刦": [ + "ㄐㄧㄝ2" + ], + "刧": [ + "ㄐㄧㄝ2" + ], + "刨": [ + "ㄆㄠ2", + "ㄅㄠ4" + ], + "利": [ + "ㄌㄧ4" + ], + "刪": [ + "ㄕㄢ1" + ], + "别": [ + "ㄅㄧㄝ2", + "ㄅㄧㄝ4" + ], + "刬": [ + "ㄔㄢ3", + "ㄔㄢ4" + ], + "刭": [ + "ㄐㄧㄥ3" + ], + "刮": [ + "ㄍㄨㄚ1" + ], + "刯": [ + "ㄍㄥ1" + ], + "到": [ + "ㄉㄠ4" + ], + "刱": [ + "ㄔㄨㄤ4" + ], + "刲": [ + "ㄎㄨㄟ1" + ], + "刳": [ + "ㄎㄨ1", + "ㄎㄡ1" + ], + "刴": [ + "ㄉㄨㄛ4" + ], + "刵": [ + "ㄦ4" + ], + "制": [ + "ㄓ4" + ], + "刷": [ + "ㄕㄨㄚ1", + "ㄕㄨㄚ4" + ], + "券": [ + "ㄑㄩㄢ4", + "ㄒㄩㄢ4" + ], + "刹": [ + "ㄕㄚ1", + "ㄔㄚ4" + ], + "刺": [ + "ㄘ4", + "ㄘ1", + "ㄑㄧ4" + ], + "刻": [ + "ㄎㄜ4", + "ㄎㄟ1" + ], + "刼": [ + "ㄐㄧㄝ2" + ], + "刽": [ + "ㄍㄨㄟ4" + ], + "刾": [ + "ㄘ4" + ], + "刿": [ + "ㄍㄨㄟ4" + ], + "剀": [ + "ㄎㄞ3" + ], + "剁": [ + "ㄉㄨㄛ4" + ], + "剂": [ + "ㄐㄧ4" + ], + "剃": [ + "ㄊㄧ4" + ], + "剄": [ + "ㄐㄧㄥ3" + ], + "剅": [ + "ㄌㄡ2", + "ㄉㄡ1" + ], + "剆": [ + "ㄌㄨㄛ3" + ], + "則": [ + "ㄗㄜ2" + ], + "剈": [ + "ㄩㄢ1" + ], + "剉": [ + "ㄘㄨㄛ4" + ], + "削": [ + "ㄒㄩㄝ1", + "ㄒㄧㄠ1", + "ㄑㄧㄠ4", + "ㄕㄠ4" + ], + "剋": [ + "ㄎㄜ4", + "ㄎㄟ1" + ], + "剌": [ + "ㄌㄚ2", + "ㄌㄚ4" + ], + "前": [ + "ㄑㄧㄢ2", + "ㄐㄧㄢ3" + ], + "剎": [ + "ㄕㄚ1" + ], + "剏": [ + "ㄔㄨㄤ4" + ], + "剐": [ + "ㄍㄨㄚ3" + ], + "剑": [ + "ㄐㄧㄢ4" + ], + "剒": [ + "ㄘㄨㄛ4" + ], + "剓": [ + "ㄌㄧ2" + ], + "剔": [ + "ㄊㄧ1", + "ㄊㄧ4" + ], + "剕": [ + "ㄈㄟ4" + ], + "剖": [ + "ㄆㄡ1", + "ㄆㄛ3" + ], + "剗": [ + "ㄔㄢ3", + "ㄔㄢ4" + ], + "剘": [ + "ㄑㄧ2" + ], + "剙": [ + "ㄔㄨㄤ4" + ], + "剚": [ + "ㄗ4" + ], + "剛": [ + "ㄍㄤ1" + ], + "剜": [ + "ㄨㄢ1" + ], + "剝": [ + "ㄅㄛ1" + ], + "剞": [ + "ㄐㄧ1" + ], + "剟": [ + "ㄉㄨㄛ1", + "ㄔ4" + ], + "剠": [ + "ㄑㄧㄥ2", + "ㄌㄩㄝ4" + ], + "剡": [ + "ㄕㄢ4", + "ㄧㄢ3" + ], + "剢": [ + "ㄉㄨ1", + "ㄓㄨㄛ2" + ], + "剣": [ + "ㄐㄧㄢ4" + ], + "剤": [ + "ㄐㄧ4" + ], + "剥": [ + "ㄅㄛ1", + "ㄅㄠ1", + "ㄆㄨ1" + ], + "剦": [ + "ㄧㄢ1" + ], + "剧": [ + "ㄐㄩ4" + ], + "剨": [ + "ㄏㄨㄛ1", + "ㄏㄨㄛ4" + ], + "剩": [ + "ㄕㄥ4" + ], + "剪": [ + "ㄐㄧㄢ3" + ], + "剫": [ + "ㄉㄨㄛ2", + "ㄉㄨ4" + ], + "剬": [ + "ㄉㄨㄢ1", + "ㄊㄨㄢ2", + "ㄓ4" + ], + "剭": [ + "ㄨ1" + ], + "剮": [ + "ㄍㄨㄚ3" + ], + "副": [ + "ㄈㄨ4", + "ㄆㄧ4" + ], + "剰": [ + "ㄕㄥ4" + ], + "剱": [ + "ㄐㄧㄢ4" + ], + "割": [ + "ㄍㄜ1" + ], + "剳": [ + "ㄉㄚ2", + "ㄓㄚ2" + ], + "剴": [ + "ㄎㄞ3", + "ㄞ1" + ], + "創": [ + "ㄔㄨㄤ4", + "ㄔㄨㄤ1", + "ㄑㄧㄤ1" + ], + "剶": [ + "ㄔㄨㄢ1" + ], + "剷": [ + "ㄔㄢ3" + ], + "剸": [ + "ㄊㄨㄢ2", + "ㄓㄨㄢ1", + "ㄓㄨㄢ4" + ], + "剹": [ + "ㄌㄨ4", + "ㄐㄧㄡ1" + ], + "剺": [ + "ㄌㄧ2" + ], + "剻": [ + "ㄆㄥ3" + ], + "剼": [ + "ㄕㄢ1" + ], + "剽": [ + "ㄆㄧㄠ1", + "ㄆㄧㄠ4", + "ㄆㄧㄠ2", + "ㄅㄧㄠ3", + "ㄅㄧㄠ1" + ], + "剾": [ + "ㄎㄡ1" + ], + "剿": [ + "ㄐㄧㄠ3", + "ㄔㄠ1" + ], + "劀": [ + "ㄍㄨㄚ1" + ], + "劁": [ + "ㄑㄧㄠ1", + "ㄑㄧㄠ2" + ], + "劂": [ + "ㄐㄩㄝ2" + ], + "劃": [ + "ㄏㄨㄚ4", + "ㄏㄨㄚ2", + "ㄏㄨㄞ5" + ], + "劄": [ + "ㄓㄚ1", + "ㄓㄚ2" + ], + "劅": [ + "ㄓㄨㄛ2" + ], + "劆": [ + "ㄌㄧㄢ2" + ], + "劇": [ + "ㄐㄩ4" + ], + "劈": [ + "ㄆㄧ1", + "ㄆㄧ3" + ], + "劉": [ + "ㄌㄧㄡ2" + ], + "劊": [ + "ㄍㄨㄟ4" + ], + "劋": [ + "ㄐㄧㄠ3", + "ㄔㄠ1" + ], + "劌": [ + "ㄍㄨㄟ4" + ], + "劍": [ + "ㄐㄧㄢ4" + ], + "劎": [ + "ㄐㄧㄢ4" + ], + "劏": [ + "ㄊㄤ1" + ], + "劐": [ + "ㄏㄨㄛ1", + "ㄏㄨㄛ4", + "ㄏㄨㄚ2" + ], + "劑": [ + "ㄐㄧ4" + ], + "劒": [ + "ㄐㄧㄢ4" + ], + "劓": [ + "ㄧ4" + ], + "劔": [ + "ㄐㄧㄢ4" + ], + "劕": [ + "ㄓ4" + ], + "劖": [ + "ㄔㄢ2" + ], + "劗": [ + "ㄐㄧㄢ3", + "ㄗㄨㄢ1" + ], + "劘": [ + "ㄇㄛ2", + "ㄇㄧ2" + ], + "劙": [ + "ㄌㄧ2" + ], + "劚": [ + "ㄓㄨ2" + ], + "力": [ + "ㄌㄧ4" + ], + "劜": [ + "ㄧㄚ4" + ], + "劝": [ + "ㄑㄩㄢ4" + ], + "办": [ + "ㄅㄢ4" + ], + "功": [ + "ㄍㄨㄥ1" + ], + "加": [ + "ㄐㄧㄚ1" + ], + "务": [ + "ㄨ4" + ], + "劢": [ + "ㄇㄞ4" + ], + "劣": [ + "ㄌㄧㄝ4" + ], + "劤": [ + "ㄐㄧㄣ4" + ], + "劥": [ + "ㄎㄥ1" + ], + "劦": [ + "ㄒㄧㄝ2", + "ㄌㄧㄝ4" + ], + "劧": [ + "ㄓ3" + ], + "动": [ + "ㄉㄨㄥ4" + ], + "助": [ + "ㄓㄨ4", + "ㄔㄨ2" + ], + "努": [ + "ㄋㄨ3" + ], + "劫": [ + "ㄐㄧㄝ2" + ], + "劬": [ + "ㄑㄩ2" + ], + "劭": [ + "ㄕㄠ4" + ], + "劮": [ + "ㄧ4" + ], + "劯": [ + "ㄓㄨ1" + ], + "劰": [ + "ㄇㄛ4" + ], + "励": [ + "ㄌㄧ4" + ], + "劲": [ + "ㄐㄧㄣ4", + "ㄐㄧㄥ4" + ], + "劳": [ + "ㄌㄠ2" + ], + "労": [ + "ㄌㄠ2" + ], + "劵": [ + "ㄐㄩㄢ4" + ], + "劶": [ + "ㄎㄡ3" + ], + "劷": [ + "ㄧㄤ2" + ], + "劸": [ + "ㄨㄚ1" + ], + "効": [ + "ㄒㄧㄠ4" + ], + "劺": [ + "ㄇㄡ2" + ], + "劻": [ + "ㄎㄨㄤ1" + ], + "劼": [ + "ㄐㄧㄝ2" + ], + "劽": [ + "ㄌㄧㄝ4" + ], + "劾": [ + "ㄏㄜ2", + "ㄎㄞ4" + ], + "势": [ + "ㄕ4" + ], + "勀": [ + "ㄎㄜ4" + ], + "勁": [ + "ㄐㄧㄣ4", + "ㄐㄧㄥ4" + ], + "勂": [ + "ㄍㄠ4" + ], + "勃": [ + "ㄅㄛ2" + ], + "勄": [ + "ㄇㄧㄣ3" + ], + "勅": [ + "ㄔ4" + ], + "勆": [ + "ㄌㄤ2" + ], + "勇": [ + "ㄩㄥ3" + ], + "勈": [ + "ㄩㄥ3" + ], + "勉": [ + "ㄇㄧㄢ3" + ], + "勊": [ + "ㄎㄜ4" + ], + "勋": [ + "ㄒㄩㄣ1" + ], + "勌": [ + "ㄐㄩㄢ4", + "ㄐㄩㄢ1" + ], + "勍": [ + "ㄑㄧㄥ2" + ], + "勎": [ + "ㄌㄨ4" + ], + "勏": [ + "ㄅㄨ4" + ], + "勐": [ + "ㄇㄥ3" + ], + "勑": [ + "ㄔ4", + "ㄌㄞ4" + ], + "勒": [ + "ㄌㄟ1", + "ㄌㄜ4", + "ㄌㄟ5" + ], + "勓": [ + "ㄎㄞ4" + ], + "勔": [ + "ㄇㄧㄢ3" + ], + "動": [ + "ㄉㄨㄥ4" + ], + "勖": [ + "ㄒㄩ4", + "ㄇㄠ4" + ], + "勗": [ + "ㄒㄩ4" + ], + "勘": [ + "ㄎㄢ1" + ], + "務": [ + "ㄨ4", + "ㄨ3", + "ㄨ2", + "ㄇㄠ2", + "ㄇㄠ4" + ], + "勚": [ + "ㄧ4" + ], + "勛": [ + "ㄒㄩㄣ1" + ], + "勜": [ + "ㄨㄥ3", + "ㄧㄤ3" + ], + "勝": [ + "ㄕㄥ4" + ], + "勞": [ + "ㄌㄠ2", + "ㄌㄠ4", + "ㄌㄧㄠ2" + ], + "募": [ + "ㄇㄨ4", + "ㄅㄛ2" + ], + "勠": [ + "ㄌㄨ4" + ], + "勡": [ + "ㄆㄧㄠ4" + ], + "勢": [ + "ㄕ4" + ], + "勣": [ + "ㄐㄧ1" + ], + "勤": [ + "ㄑㄧㄣ2", + "ㄑㄧ2" + ], + "勥": [ + "ㄐㄧㄤ4", + "ㄑㄧㄤ3", + "ㄐㄧㄤ3" + ], + "勦": [ + "ㄔㄠ1", + "ㄐㄧㄠ3", + "ㄔㄠ2" + ], + "勧": [ + "ㄑㄩㄢ4" + ], + "勨": [ + "ㄒㄧㄤ4" + ], + "勩": [ + "ㄧ4" + ], + "勪": [ + "ㄐㄩㄝ2" + ], + "勫": [ + "ㄈㄢ1" + ], + "勬": [ + "ㄐㄩㄢ1" + ], + "勭": [ + "ㄊㄨㄥ2", + "ㄉㄨㄥ4" + ], + "勮": [ + "ㄐㄩ4" + ], + "勯": [ + "ㄉㄢ1" + ], + "勰": [ + "ㄒㄧㄝ2" + ], + "勱": [ + "ㄇㄞ4" + ], + "勲": [ + "ㄒㄩㄣ1" + ], + "勳": [ + "ㄒㄩㄣ1" + ], + "勴": [ + "ㄌㄩ4" + ], + "勵": [ + "ㄌㄧ4" + ], + "勶": [ + "ㄔㄜ4" + ], + "勷": [ + "ㄖㄤ2", + "ㄒㄧㄤ1" + ], + "勸": [ + "ㄑㄩㄢ4" + ], + "勹": [ + "ㄅㄠ1" + ], + "勺": [ + "ㄕㄠ2", + "ㄕㄨㄛ4", + "ㄓㄨㄛ2", + "ㄉㄧ4" + ], + "勻": [ + "ㄩㄣ2" + ], + "勼": [ + "ㄐㄧㄡ1" + ], + "勽": [ + "ㄅㄠ4" + ], + "勾": [ + "ㄍㄡ1", + "ㄍㄡ4" + ], + "勿": [ + "ㄨ4", + "ㄇㄛ4" + ], + "匀": [ + "ㄩㄣ2", + "ㄐㄩㄣ1", + "ㄩㄣ4" + ], + "匁": [ + "ㄨㄣ2" + ], + "匂": [ + "ㄒㄩㄥ1" + ], + "匃": [ + "ㄍㄞ4" + ], + "匄": [ + "ㄍㄞ4" + ], + "包": [ + "ㄅㄠ1", + "ㄆㄠ2", + "ㄈㄨ2" + ], + "匆": [ + "ㄘㄨㄥ1" + ], + "匇": [ + "ㄧ4" + ], + "匈": [ + "ㄒㄩㄥ1" + ], + "匉": [ + "ㄆㄥ1" + ], + "匊": [ + "ㄐㄩ1" + ], + "匋": [ + "ㄊㄠ2", + "ㄧㄠ2" + ], + "匌": [ + "ㄍㄜ2" + ], + "匍": [ + "ㄆㄨ2" + ], + "匎": [ + "ㄜ4" + ], + "匏": [ + "ㄆㄠ2" + ], + "匐": [ + "ㄈㄨ2" + ], + "匑": [ + "ㄍㄨㄥ1" + ], + "匒": [ + "ㄉㄚ2" + ], + "匓": [ + "ㄐㄧㄡ4" + ], + "匔": [ + "ㄍㄨㄥ1" + ], + "匕": [ + "ㄅㄧ3", + "ㄆㄧㄣ4" + ], + "化": [ + "ㄏㄨㄚ4", + "ㄏㄨㄚ1", + "ㄏㄨㄛ4" + ], + "北": [ + "ㄅㄟ3", + "ㄅㄟ4" + ], + "匘": [ + "ㄋㄠ3" + ], + "匙": [ + "ㄕ5", + "ㄔ2" + ], + "匚": [ + "ㄈㄤ1", + "ㄈㄤ4" + ], + "匛": [ + "ㄐㄧㄡ4" + ], + "匜": [ + "ㄧ2" + ], + "匝": [ + "ㄗㄚ1" + ], + "匞": [ + "ㄐㄧㄤ4" + ], + "匟": [ + "ㄎㄤ4" + ], + "匠": [ + "ㄐㄧㄤ4" + ], + "匡": [ + "ㄎㄨㄤ1", + "ㄨㄤ1" + ], + "匢": [ + "ㄏㄨ1" + ], + "匣": [ + "ㄒㄧㄚ2" + ], + "匤": [ + "ㄑㄩ1" + ], + "匥": [ + "ㄈㄢ2" + ], + "匦": [ + "ㄍㄨㄟ3" + ], + "匧": [ + "ㄑㄧㄝ4" + ], + "匨": [ + "ㄗㄤ1", + "ㄘㄤ2" + ], + "匩": [ + "ㄎㄨㄤ1" + ], + "匪": [ + "ㄈㄟ3", + "ㄈㄟ1", + "ㄈㄣ1" + ], + "匫": [ + "ㄏㄨ1" + ], + "匬": [ + "ㄩ3" + ], + "匭": [ + "ㄍㄨㄟ3" + ], + "匮": [ + "ㄎㄨㄟ4", + "ㄍㄨㄟ4" + ], + "匯": [ + "ㄏㄨㄟ4" + ], + "匰": [ + "ㄉㄢ1" + ], + "匱": [ + "ㄍㄨㄟ4", + "ㄎㄨㄟ4" + ], + "匲": [ + "ㄌㄧㄢ2" + ], + "匳": [ + "ㄌㄧㄢ2" + ], + "匴": [ + "ㄙㄨㄢ3" + ], + "匵": [ + "ㄉㄨ2" + ], + "匶": [ + "ㄐㄧㄡ4" + ], + "匷": [ + "ㄐㄩㄝ2" + ], + "匸": [ + "ㄒㄧ4" + ], + "匹": [ + "ㄆㄧ3" + ], + "区": [ + "ㄑㄩ1", + "ㄡ1" + ], + "医": [ + "ㄧ1", + "ㄧ4" + ], + "匼": [ + "ㄎㄜ1", + "ㄜ1", + "ㄢ3" + ], + "匽": [ + "ㄧㄢ3", + "ㄧㄢ4" + ], + "匾": [ + "ㄅㄧㄢ3" + ], + "匿": [ + "ㄋㄧ4", + "ㄊㄜ4" + ], + "區": [ + "ㄑㄩ1", + "ㄡ1", + "ㄍㄡ1", + "ㄑㄧㄡ1", + "ㄎㄡ4" + ], + "十": [ + "ㄕ2" + ], + "卂": [ + "ㄒㄩㄣ4" + ], + "千": [ + "ㄑㄧㄢ1" + ], + "卄": [ + "ㄋㄧㄢ4" + ], + "卅": [ + "ㄙㄚ4" + ], + "卆": [ + "ㄗㄨ2" + ], + "升": [ + "ㄕㄥ1" + ], + "午": [ + "ㄨ3" + ], + "卉": [ + "ㄏㄨㄟ4" + ], + "半": [ + "ㄅㄢ4", + "ㄆㄢ4" + ], + "卋": [ + "ㄕ4" + ], + "卌": [ + "ㄒㄧ4" + ], + "卍": [ + "ㄨㄢ4" + ], + "华": [ + "ㄏㄨㄚ2", + "ㄏㄨㄚ4", + "ㄏㄨㄚ1" + ], + "协": [ + "ㄒㄧㄝ2" + ], + "卐": [ + "ㄨㄢ4" + ], + "卑": [ + "ㄅㄟ1", + "ㄅㄧ3", + "ㄅㄧ4", + "ㄆㄧ2", + "ㄅㄢ1" + ], + "卒": [ + "ㄗㄨ2", + "ㄘㄨ4", + "ㄘㄨㄟ4" + ], + "卓": [ + "ㄓㄨㄛ2", + "ㄓㄨㄛ1" + ], + "協": [ + "ㄒㄧㄝ2" + ], + "单": [ + "ㄉㄢ1", + "ㄔㄢ2", + "ㄕㄢ4" + ], + "卖": [ + "ㄇㄞ4" + ], + "南": [ + "ㄋㄢ2", + "ㄋㄚ1" + ], + "単": [ + "ㄉㄢ1" + ], + "卙": [ + "ㄐㄧ2", + "ㄔ4" + ], + "博": [ + "ㄅㄛ2" + ], + "卛": [ + "ㄕㄨㄞ4" + ], + "卜": [ + "ㄅㄛ5", + "ㄅㄨ3", + "ㄆㄨ1" + ], + "卝": [ + "ㄎㄨㄤ4", + "ㄍㄨㄢ4" + ], + "卞": [ + "ㄅㄧㄢ4", + "ㄆㄢ2" + ], + "卟": [ + "ㄅㄨ3", + "ㄐㄧ1" + ], + "占": [ + "ㄓㄢ4", + "ㄓㄢ1", + "ㄊㄧㄝ1" + ], + "卡": [ + "ㄎㄚ3", + "ㄑㄧㄚ3" + ], + "卢": [ + "ㄌㄨ2" + ], + "卣": [ + "ㄧㄡ3" + ], + "卤": [ + "ㄌㄨ3", + "ㄒㄧ1" + ], + "卥": [ + "ㄒㄧ1" + ], + "卦": [ + "ㄍㄨㄚ4" + ], + "卧": [ + "ㄨㄛ4" + ], + "卨": [ + "ㄒㄧㄝ4" + ], + "卩": [ + "ㄐㄧㄝ2" + ], + "卪": [ + "ㄐㄧㄝ2" + ], + "卫": [ + "ㄨㄟ4" + ], + "卬": [ + "ㄤ2", + "ㄧㄤ3" + ], + "卭": [ + "ㄑㄩㄥ2" + ], + "卮": [ + "ㄓ1" + ], + "卯": [ + "ㄇㄠ3" + ], + "印": [ + "ㄧㄣ4", + "ㄧ4" + ], + "危": [ + "ㄨㄟ1" + ], + "卲": [ + "ㄕㄠ4" + ], + "即": [ + "ㄐㄧ2" + ], + "却": [ + "ㄑㄩㄝ4" + ], + "卵": [ + "ㄌㄨㄢ3", + "ㄎㄨㄣ1" + ], + "卶": [ + "ㄔ3" + ], + "卷": [ + "ㄐㄩㄢ3", + "ㄐㄩㄢ4", + "ㄑㄩㄢ2", + "ㄑㄩㄢ1", + "ㄍㄨㄣ3", + "ㄐㄩㄣ4" + ], + "卸": [ + "ㄒㄧㄝ4" + ], + "卹": [ + "ㄒㄩ4", + "ㄙㄨ1" + ], + "卺": [ + "ㄐㄧㄣ3" + ], + "卻": [ + "ㄑㄩㄝ4", + "ㄐㄧㄠ3", + "ㄒㄧ4" + ], + "卼": [ + "ㄨ4" + ], + "卽": [ + "ㄐㄧ2" + ], + "卾": [ + "ㄜ4" + ], + "卿": [ + "ㄑㄧㄥ1" + ], + "厀": [ + "ㄒㄧ1" + ], + "厁": [ + "ㄙㄢ1" + ], + "厂": [ + "ㄔㄤ3", + "ㄏㄢ3", + "ㄧㄢ2", + "ㄢ1" + ], + "厃": [ + "ㄨㄟ3", + "ㄧㄢ2" + ], + "厄": [ + "ㄜ4", + "ㄜ3" + ], + "厅": [ + "ㄊㄧㄥ1" + ], + "历": [ + "ㄌㄧ4" + ], + "厇": [ + "ㄓㄜ2", + "ㄓㄞ2" + ], + "厈": [ + "ㄏㄢ3", + "ㄢ4" + ], + "厉": [ + "ㄌㄧ4" + ], + "厊": [ + "ㄧㄚ3" + ], + "压": [ + "ㄧㄚ1", + "ㄧㄚ4" + ], + "厌": [ + "ㄧㄢ4" + ], + "厍": [ + "ㄕㄜ4" + ], + "厎": [ + "ㄉㄧ3", + "ㄓ3" + ], + "厏": [ + "ㄓㄚ3", + "ㄓㄞ3" + ], + "厐": [ + "ㄆㄤ2" + ], + "厑": [ + "ㄧㄚ2" + ], + "厒": [ + "ㄑㄧㄝ4" + ], + "厓": [ + "ㄧㄚ2", + "ㄞ2" + ], + "厔": [ + "ㄓ4", + "ㄕ1" + ], + "厕": [ + "ㄘㄜ4", + "ㄙ5" + ], + "厖": [ + "ㄆㄤ2", + "ㄇㄤ2" + ], + "厗": [ + "ㄊㄧ2" + ], + "厘": [ + "ㄌㄧ2", + "ㄔㄢ2" + ], + "厙": [ + "ㄕㄜ4" + ], + "厚": [ + "ㄏㄡ4" + ], + "厛": [ + "ㄊㄧㄥ1" + ], + "厜": [ + "ㄗㄨㄟ1" + ], + "厝": [ + "ㄘㄨㄛ4", + "ㄐㄧ2" + ], + "厞": [ + "ㄈㄟ4" + ], + "原": [ + "ㄩㄢ2" + ], + "厠": [ + "ㄘㄜ4" + ], + "厡": [ + "ㄩㄢ2" + ], + "厢": [ + "ㄒㄧㄤ1" + ], + "厣": [ + "ㄧㄢ3" + ], + "厤": [ + "ㄌㄧ4" + ], + "厥": [ + "ㄐㄩㄝ2" + ], + "厦": [ + "ㄕㄚ4", + "ㄒㄧㄚ4" + ], + "厧": [ + "ㄉㄧㄢ1" + ], + "厨": [ + "ㄔㄨ2" + ], + "厩": [ + "ㄐㄧㄡ4" + ], + "厪": [ + "ㄐㄧㄣ3" + ], + "厫": [ + "ㄠ2" + ], + "厬": [ + "ㄍㄨㄟ3" + ], + "厭": [ + "ㄧㄢ4", + "ㄧㄚ1", + "ㄧㄢ3", + "ㄧㄢ1", + "ㄧ4" + ], + "厮": [ + "ㄙ1" + ], + "厯": [ + "ㄌㄧ4" + ], + "厰": [ + "ㄔㄤ3" + ], + "厱": [ + "ㄌㄢ2", + "ㄑㄧㄢ1" + ], + "厲": [ + "ㄌㄧ4", + "ㄌㄞ4" + ], + "厳": [ + "ㄧㄢ2" + ], + "厴": [ + "ㄧㄢ3" + ], + "厵": [ + "ㄩㄢ2" + ], + "厶": [ + "ㄙ1", + "ㄇㄡ3" + ], + "厷": [ + "ㄍㄨㄥ1", + "ㄏㄨㄥ2" + ], + "厸": [ + "ㄌㄧㄣ2", + "ㄇㄧㄣ5" + ], + "厹": [ + "ㄖㄡ2", + "ㄑㄧㄡ2" + ], + "厺": [ + "ㄑㄩ4" + ], + "去": [ + "ㄑㄩ4", + "ㄑㄩ1" + ], + "厼": [ + "ㄦ3" + ], + "厽": [ + "ㄌㄟ3" + ], + "厾": [ + "ㄉㄨ1", + "ㄉㄨ3" + ], + "县": [ + "ㄒㄧㄢ4" + ], + "叀": [ + "ㄓㄨㄢ1", + "ㄏㄨㄟ4" + ], + "叁": [ + "ㄙㄢ1" + ], + "参": [ + "ㄘㄢ1", + "ㄘㄣ1", + "ㄕㄣ1" + ], + "參": [ + "ㄘㄢ1", + "ㄕㄣ1", + "ㄙㄢ1", + "ㄘㄣ1", + "ㄘㄢ4", + "ㄙㄢ3" + ], + "叄": [ + "ㄘㄢ1" + ], + "叅": [ + "ㄘㄢ1" + ], + "叆": [ + "ㄞ4" + ], + "叇": [ + "ㄉㄞ4" + ], + "又": [ + "ㄧㄡ4" + ], + "叉": [ + "ㄔㄚ1", + "ㄔㄚ2", + "ㄔㄚ3", + "ㄔㄚ4" + ], + "及": [ + "ㄐㄧ2" + ], + "友": [ + "ㄧㄡ3" + ], + "双": [ + "ㄕㄨㄤ1" + ], + "反": [ + "ㄈㄢ3", + "ㄈㄢ4" + ], + "収": [ + "ㄕㄡ1" + ], + "叏": [ + "ㄍㄨㄞ4" + ], + "叐": [ + "ㄅㄚ2" + ], + "发": [ + "ㄈㄚ1", + "ㄈㄚ4" + ], + "叒": [ + "ㄖㄨㄛ4" + ], + "叓": [ + "ㄕ4", + "ㄌㄧ4" + ], + "叔": [ + "ㄕㄨ1" + ], + "叕": [ + "ㄓㄨㄛ2", + "ㄧ3", + "ㄌㄧ4", + "ㄐㄩㄝ2" + ], + "取": [ + "ㄑㄩ3", + "ㄑㄩ1" + ], + "受": [ + "ㄕㄡ4", + "ㄉㄠ4" + ], + "变": [ + "ㄅㄧㄢ4" + ], + "叙": [ + "ㄒㄩ4" + ], + "叚": [ + "ㄐㄧㄚ3", + "ㄒㄧㄚ2" + ], + "叛": [ + "ㄆㄢ4" + ], + "叜": [ + "ㄙㄡ3" + ], + "叝": [ + "ㄐㄧ2" + ], + "叞": [ + "ㄨㄟ4" + ], + "叟": [ + "ㄙㄡ3", + "ㄙㄡ1", + "ㄒㄧㄠ1" + ], + "叠": [ + "ㄉㄧㄝ2" + ], + "叡": [ + "ㄖㄨㄟ4" + ], + "叢": [ + "ㄘㄨㄥ2" + ], + "口": [ + "ㄎㄡ3" + ], + "古": [ + "ㄍㄨ3", + "ㄍㄨ4", + "ㄎㄨ1" + ], + "句": [ + "ㄐㄩ4", + "ㄍㄡ1", + "ㄍㄡ4", + "ㄑㄩ2" + ], + "另": [ + "ㄌㄧㄥ4" + ], + "叧": [ + "ㄍㄨㄚ3" + ], + "叨": [ + "ㄉㄠ1", + "ㄉㄠ2", + "ㄊㄠ1" + ], + "叩": [ + "ㄎㄡ4" + ], + "只": [ + "ㄓ3", + "ㄓ1" + ], + "叫": [ + "ㄐㄧㄠ4" + ], + "召": [ + "ㄓㄠ4", + "ㄕㄠ4" + ], + "叭": [ + "ㄅㄚ1", + "ㄆㄚ1", + "ㄅㄚ5" + ], + "叮": [ + "ㄉㄧㄥ1" + ], + "可": [ + "ㄎㄜ3", + "ㄎㄜ4", + "ㄍㄜ1" + ], + "台": [ + "ㄊㄞ2", + "ㄊㄞ1", + "ㄧ2", + "ㄙ4" + ], + "叱": [ + "ㄔ4", + "ㄏㄨㄚ4", + "ㄜ2" + ], + "史": [ + "ㄕ3" + ], + "右": [ + "ㄧㄡ4" + ], + "叴": [ + "ㄑㄧㄡ2" + ], + "叵": [ + "ㄆㄛ3" + ], + "叶": [ + "ㄧㄝ4", + "ㄒㄧㄝ2" + ], + "号": [ + "ㄏㄠ4", + "ㄏㄠ2", + "ㄒㄧㄠ1" + ], + "司": [ + "ㄙ1", + "ㄘ2", + "ㄙ4" + ], + "叹": [ + "ㄊㄢ4", + "ㄧ3", + "ㄧㄡ4" + ], + "叺": [ + "ㄔ3" + ], + "叻": [ + "ㄌㄜ4", + "ㄌㄧ4" + ], + "叼": [ + "ㄉㄧㄠ1" + ], + "叽": [ + "ㄐㄧ1", + "ㄐㄧㄠ4" + ], + "叾": [ + "ㄌㄧㄠ3" + ], + "叿": [ + "ㄏㄨㄥ1", + "ㄏㄨㄥ2" + ], + "吀": [ + "ㄇㄧㄝ1" + ], + "吁": [ + "ㄒㄩ1", + "ㄩ1", + "ㄩ4" + ], + "吂": [ + "ㄇㄤ2", + "ㄇㄤ4" + ], + "吃": [ + "ㄔ1", + "ㄑㄧ1" + ], + "各": [ + "ㄍㄜ4", + "ㄍㄜ3" + ], + "吅": [ + "ㄒㄩㄢ1", + "ㄙㄨㄥ4" + ], + "吆": [ + "ㄧㄠ1" + ], + "吇": [ + "ㄗ3", + "ㄐㄧ2" + ], + "合": [ + "ㄏㄜ2", + "ㄍㄜ3" + ], + "吉": [ + "ㄐㄧ2" + ], + "吊": [ + "ㄉㄧㄠ4" + ], + "吋": [ + "ㄘㄨㄣ4", + "ㄉㄡ4", + "ㄧㄥ1" + ], + "同": [ + "ㄊㄨㄥ2", + "ㄊㄨㄥ4" + ], + "名": [ + "ㄇㄧㄥ2", + "ㄇㄧㄥ4" + ], + "后": [ + "ㄏㄡ4" + ], + "吏": [ + "ㄌㄧ4" + ], + "吐": [ + "ㄊㄨ3", + "ㄊㄨ4" + ], + "向": [ + "ㄒㄧㄤ4" + ], + "吒": [ + "ㄓㄚ1", + "ㄓㄚ4" + ], + "吓": [ + "ㄒㄧㄚ4", + "ㄏㄜ4", + "ㄏㄚ4" + ], + "吔": [ + "ㄧㄝ3", + "ㄧㄝ1" + ], + "吕": [ + "ㄌㄩ3" + ], + "吖": [ + "ㄧㄚ1", + "ㄚ1" + ], + "吗": [ + "ㄇㄚ5", + "ㄇㄚ2", + "ㄇㄚ3" + ], + "吘": [ + "ㄡ3" + ], + "吙": [ + "ㄏㄨㄛ1" + ], + "吚": [ + "ㄧ1", + "ㄒㄧ1" + ], + "君": [ + "ㄐㄩㄣ1" + ], + "吜": [ + "ㄔㄡ3" + ], + "吝": [ + "ㄌㄧㄣ4" + ], + "吞": [ + "ㄊㄨㄣ1", + "ㄊㄧㄢ1" + ], + "吟": [ + "ㄧㄣ2", + "ㄧㄣ3", + "ㄐㄧㄣ4" + ], + "吠": [ + "ㄈㄟ4" + ], + "吡": [ + "ㄅㄧ3", + "ㄅㄧ4", + "ㄆㄧ3" + ], + "吢": [ + "ㄑㄧㄣ4" + ], + "吣": [ + "ㄑㄧㄣ4" + ], + "吤": [ + "ㄐㄧㄝ4", + "ㄍㄜ4", + "ㄒㄧㄝ4" + ], + "吥": [ + "ㄅㄨ4", + "ㄆㄡ1" + ], + "否": [ + "ㄈㄡ3", + "ㄆㄧ3" + ], + "吧": [ + "ㄅㄚ5", + "ㄅㄚ1", + "ㄆㄚ1" + ], + "吨": [ + "ㄉㄨㄣ1", + "ㄊㄨㄣ2", + "ㄊㄨㄣ3" + ], + "吩": [ + "ㄈㄣ1", + "ㄆㄣ4" + ], + "吪": [ + "ㄜ2", + "ㄏㄨㄚ1" + ], + "含": [ + "ㄏㄢ2", + "ㄏㄢ4" + ], + "听": [ + "ㄊㄧㄥ1", + "ㄧㄣ3", + "ㄧ2" + ], + "吭": [ + "ㄎㄥ1", + "ㄏㄤ2", + "ㄏㄤ4" + ], + "吮": [ + "ㄕㄨㄣ3" + ], + "启": [ + "ㄑㄧ3" + ], + "吰": [ + "ㄏㄨㄥ2" + ], + "吱": [ + "ㄓ1", + "ㄗ1", + "ㄑㄧ4" + ], + "吲": [ + "ㄧㄣ3", + "ㄕㄣ3" + ], + "吳": [ + "ㄨ2", + "ㄩ2" + ], + "吴": [ + "ㄨ2", + "ㄊㄨㄣ1" + ], + "吵": [ + "ㄔㄠ3", + "ㄔㄠ1", + "ㄇㄧㄠ3", + "ㄔㄠ4" + ], + "吶": [ + "ㄋㄚ4" + ], + "吷": [ + "ㄒㄩㄝ4", + "ㄔㄨㄛ4", + "ㄐㄩㄝ2" + ], + "吸": [ + "ㄒㄧ1" + ], + "吹": [ + "ㄔㄨㄟ1", + "ㄔㄨㄟ4" + ], + "吺": [ + "ㄉㄡ1", + "ㄖㄨ2" + ], + "吻": [ + "ㄨㄣ3" + ], + "吼": [ + "ㄏㄡ3" + ], + "吽": [ + "ㄏㄨㄥ1", + "ㄡ1", + "ㄏㄡ3" + ], + "吾": [ + "ㄨ2", + "ㄩ2", + "ㄧㄚ2" + ], + "吿": [ + "ㄍㄠ4" + ], + "呀": [ + "ㄧㄚ5", + "ㄧㄚ1", + "ㄒㄧㄚ1" + ], + "呁": [ + "ㄐㄩㄣ4" + ], + "呂": [ + "ㄌㄩ3" + ], + "呃": [ + "ㄜ4", + "ㄜ5", + "ㄞ4" + ], + "呄": [ + "ㄍㄜ2" + ], + "呅": [ + "ㄇㄟ2", + "ㄨㄣ3" + ], + "呆": [ + "ㄉㄞ1", + "ㄅㄠ3", + "ㄞ2" + ], + "呇": [ + "ㄑㄧ3", + "ㄇㄣ4" + ], + "呈": [ + "ㄔㄥ2", + "ㄎㄨㄤ2", + "ㄔㄥ3" + ], + "呉": [ + "ㄨ2" + ], + "告": [ + "ㄍㄠ4", + "ㄐㄩ1", + "ㄍㄨ4" + ], + "呋": [ + "ㄈㄨ1" + ], + "呌": [ + "ㄐㄧㄠ4" + ], + "呍": [ + "ㄏㄨㄥ1" + ], + "呎": [ + "ㄔ3", + "ㄧㄥ1" + ], + "呏": [ + "ㄕㄥ1" + ], + "呐": [ + "ㄋㄚ4", + "ㄋㄜ4", + "ㄋㄚ5", + "ㄋㄨㄛ4", + "ㄋㄜ5" + ], + "呑": [ + "ㄊㄨㄣ1" + ], + "呒": [ + "ㄨ3", + "ㄇㄨ2" + ], + "呓": [ + "ㄧ4" + ], + "呔": [ + "ㄉㄞ1", + "ㄊㄞ3" + ], + "呕": [ + "ㄡ3", + "ㄡ1", + "ㄡ4" + ], + "呖": [ + "ㄌㄧ4" + ], + "呗": [ + "ㄅㄟ5", + "ㄅㄞ4" + ], + "员": [ + "ㄩㄢ2", + "ㄩㄣ4", + "ㄩㄣ2" + ], + "呙": [ + "ㄍㄨㄛ1" + ], + "呚": [ + "ㄨㄣ5" + ], + "呛": [ + "ㄑㄧㄤ1", + "ㄑㄧㄤ4" + ], + "呜": [ + "ㄨ1" + ], + "呝": [ + "ㄜ4" + ], + "呞": [ + "ㄕ1" + ], + "呟": [ + "ㄐㄩㄢ3" + ], + "呠": [ + "ㄆㄣ3" + ], + "呡": [ + "ㄨㄣ3", + "ㄇㄧㄣ3" + ], + "呢": [ + "ㄋㄜ5", + "ㄋㄧ2", + "ㄋㄧ3", + "ㄋㄧ1" + ], + "呣": [ + "ㄇㄨ2", + "ㄇㄨ4", + "ㄇㄡ2" + ], + "呤": [ + "ㄌㄧㄥ4", + "ㄌㄧㄥ2" + ], + "呥": [ + "ㄖㄢ2" + ], + "呦": [ + "ㄧㄡ1" + ], + "呧": [ + "ㄉㄧ3" + ], + "周": [ + "ㄓㄡ1" + ], + "呩": [ + "ㄕ4" + ], + "呪": [ + "ㄓㄡ4" + ], + "呫": [ + "ㄊㄧㄝ4", + "ㄔㄜ4" + ], + "呬": [ + "ㄒㄧ4", + "ㄔ4" + ], + "呭": [ + "ㄧ4" + ], + "呮": [ + "ㄑㄧ4", + "ㄓ1" + ], + "呯": [ + "ㄆㄧㄥ2" + ], + "呰": [ + "ㄗ3", + "ㄘ1", + "ㄐㄧ1", + "ㄒㄧ4" + ], + "呱": [ + "ㄍㄨ1", + "ㄍㄨㄚ1", + "ㄍㄨㄚ3" + ], + "呲": [ + "ㄘ1", + "ㄘ2", + "ㄗ1" + ], + "味": [ + "ㄨㄟ4", + "ㄇㄟ4" + ], + "呴": [ + "ㄒㄩ3", + "ㄏㄡ3", + "ㄏㄡ1", + "ㄍㄡ4", + "ㄍㄡ1", + "ㄍㄨ1" + ], + "呵": [ + "ㄏㄜ1", + "ㄏㄚ1", + "ㄚ1", + "ㄚ5", + "ㄎㄜ1", + "ㄏㄨㄛ1", + "ㄚ2", + "ㄚ4" + ], + "呶": [ + "ㄋㄠ2", + "ㄋㄚ2", + "ㄋㄨ3" + ], + "呷": [ + "ㄍㄚ1", + "ㄒㄧㄚ1", + "ㄐㄧㄚ3" + ], + "呸": [ + "ㄆㄟ1" + ], + "呹": [ + "ㄧ4", + "ㄔ4" + ], + "呺": [ + "ㄒㄧㄠ1", + "ㄏㄠ2" + ], + "呻": [ + "ㄕㄣ1" + ], + "呼": [ + "ㄏㄨ1", + "ㄒㄧㄠ1", + "ㄒㄩ1", + "ㄏㄜ4", + "ㄒㄧㄚ4" + ], + "命": [ + "ㄇㄧㄥ4" + ], + "呾": [ + "ㄉㄚ2", + "ㄧㄚ4", + "ㄊㄚ3", + "ㄉㄢ4" + ], + "呿": [ + "ㄑㄩ4", + "ㄎㄚ1" + ], + "咀": [ + "ㄐㄩ3", + "ㄗㄨㄟ3" + ], + "咁": [ + "ㄍㄢ4", + "ㄏㄢ2", + "ㄒㄧㄢ2" + ], + "咂": [ + "ㄗㄚ1" + ], + "咃": [ + "ㄊㄨㄛ1" + ], + "咄": [ + "ㄉㄨㄛ1" + ], + "咅": [ + "ㄆㄡ3" + ], + "咆": [ + "ㄆㄠ2" + ], + "咇": [ + "ㄅㄧㄝ2", + "ㄅㄧ4" + ], + "咈": [ + "ㄈㄨ2" + ], + "咉": [ + "ㄧㄤ1", + "ㄧㄤ3" + ], + "咊": [ + "ㄏㄜ2" + ], + "咋": [ + "ㄗㄚ3", + "ㄗㄜ2", + "ㄓㄚ1", + "ㄓㄚ4" + ], + "和": [ + "ㄏㄜ2", + "ㄏㄜ4", + "ㄏㄨ2", + "ㄏㄨㄛ2", + "ㄏㄨㄛ4", + "ㄏㄨㄛ5" + ], + "咍": [ + "ㄏㄞ1", + "ㄊㄞ1" + ], + "咎": [ + "ㄐㄧㄡ4", + "ㄍㄠ1" + ], + "咏": [ + "ㄩㄥ3" + ], + "咐": [ + "ㄈㄨ4", + "ㄈㄨ2" + ], + "咑": [ + "ㄉㄚ1" + ], + "咒": [ + "ㄓㄡ4" + ], + "咓": [ + "ㄨㄚ3" + ], + "咔": [ + "ㄎㄚ1", + "ㄎㄚ3", + "ㄋㄨㄥ4" + ], + "咕": [ + "ㄍㄨ1", + "ㄍㄨ5" + ], + "咖": [ + "ㄎㄚ1", + "ㄍㄚ1", + "ㄐㄧㄚ1" + ], + "咗": [ + "ㄗㄨㄛ5" + ], + "咘": [ + "ㄅㄨ4" + ], + "咙": [ + "ㄌㄨㄥ2" + ], + "咚": [ + "ㄉㄨㄥ1" + ], + "咛": [ + "ㄋㄧㄥ2" + ], + "咜": [ + "ㄊㄚ5" + ], + "咝": [ + "ㄙ1" + ], + "咞": [ + "ㄒㄧㄢ4", + "ㄒㄧㄢ2" + ], + "咟": [ + "ㄏㄨㄛ4" + ], + "咠": [ + "ㄑㄧ4" + ], + "咡": [ + "ㄦ4", + "ㄦ2" + ], + "咢": [ + "ㄜ4" + ], + "咣": [ + "ㄍㄨㄤ1", + "ㄍㄨㄥ1" + ], + "咤": [ + "ㄓㄚ4" + ], + "咥": [ + "ㄒㄧ4", + "ㄒㄧ1", + "ㄉㄧㄝ2", + "ㄓ4" + ], + "咦": [ + "ㄧ2", + "ㄒㄧ1" + ], + "咧": [ + "ㄌㄧㄝ3", + "ㄌㄧㄝ1", + "ㄌㄧㄝ4", + "ㄌㄧㄝ2", + "ㄌㄧㄝ5" + ], + "咨": [ + "ㄗ1" + ], + "咩": [ + "ㄇㄧㄝ1", + "ㄇㄧㄝ5" + ], + "咪": [ + "ㄇㄧ1", + "ㄇㄧ3", + "ㄇㄧㄝ1", + "ㄇㄞ3" + ], + "咫": [ + "ㄓ3" + ], + "咬": [ + "ㄧㄠ3", + "ㄐㄧㄠ1", + "ㄧㄠ1", + "ㄐㄧㄠ3" + ], + "咭": [ + "ㄐㄧ1", + "ㄒㄧ1", + "ㄑㄧㄚ4" + ], + "咮": [ + "ㄓㄡ4", + "ㄓㄨ4", + "ㄓㄨ1", + "ㄖㄨ2" + ], + "咯": [ + "ㄍㄜ1", + "ㄎㄚ3", + "ㄌㄛ5", + "ㄌㄨㄛ4", + "ㄎㄚ1" + ], + "咰": [ + "ㄕㄨ4", + "ㄒㄩㄣ2" + ], + "咱": [ + "ㄗㄢ2", + "ㄗㄚ2", + "ㄗㄚ3", + "ㄗㄢ5" + ], + "咲": [ + "ㄒㄧㄠ4" + ], + "咳": [ + "ㄎㄜ2", + "ㄏㄞ1", + "ㄏㄞ2", + "ㄍㄞ1" + ], + "咴": [ + "ㄏㄨㄟ1", + "ㄏㄞ2" + ], + "咵": [ + "ㄎㄨㄚ3" + ], + "咶": [ + "ㄏㄨㄞ4", + "ㄕ4", + "ㄍㄨㄛ1", + "ㄍㄨㄚ1", + "ㄏㄨㄚ4" + ], + "咷": [ + "ㄊㄠ2", + "ㄊㄧㄠ4" + ], + "咸": [ + "ㄒㄧㄢ2", + "ㄐㄧㄢ3", + "ㄐㄧㄢ1" + ], + "咹": [ + "ㄜ4", + "ㄢ4", + "ㄣ2" + ], + "咺": [ + "ㄒㄩㄢ3", + "ㄒㄩㄢ1" + ], + "咻": [ + "ㄒㄧㄡ1", + "ㄒㄩ3", + "ㄒㄧㄠ1", + "ㄒㄩ4" + ], + "咼": [ + "ㄍㄨㄛ1", + "ㄨㄞ1", + "ㄏㄜ2", + "ㄨㄛ3", + "ㄨㄛ1", + "ㄍㄨㄚ3" + ], + "咽": [ + "ㄧㄢ4", + "ㄧㄢ1", + "ㄧㄝ4", + "ㄩㄢ1" + ], + "咾": [ + "ㄌㄠ3" + ], + "咿": [ + "ㄧ1" + ], + "哀": [ + "ㄞ1" + ], + "品": [ + "ㄆㄧㄣ3" + ], + "哂": [ + "ㄕㄣ3" + ], + "哃": [ + "ㄊㄨㄥ2" + ], + "哄": [ + "ㄏㄨㄥ3", + "ㄏㄨㄥ1", + "ㄏㄨㄥ4" + ], + "哅": [ + "ㄒㄩㄥ1", + "ㄏㄨㄥ1" + ], + "哆": [ + "ㄉㄨㄛ1", + "ㄔ3", + "ㄓㄚ4", + "ㄔ4", + "ㄉㄨㄛ4", + "ㄉㄧㄝ3" + ], + "哇": [ + "ㄨㄚ5", + "ㄨㄚ1", + "ㄍㄨㄟ1", + "ㄏㄨㄚ2", + "ㄨㄚ2" + ], + "哈": [ + "ㄏㄚ1", + "ㄏㄚ3", + "ㄏㄚ4", + "ㄏㄜ1", + "ㄏㄜ2", + "ㄊㄚ4", + "ㄕㄚ4" + ], + "哉": [ + "ㄗㄞ1" + ], + "哊": [ + "ㄧㄡ4" + ], + "哋": [ + "ㄉㄧㄝ4", + "ㄉㄧ4" + ], + "哌": [ + "ㄆㄞ4", + "ㄍㄨ1" + ], + "响": [ + "ㄒㄧㄤ3" + ], + "哎": [ + "ㄞ1" + ], + "哏": [ + "ㄍㄣ2", + "ㄏㄣ3", + "ㄣ4" + ], + "哐": [ + "ㄎㄨㄤ1", + "ㄑㄧㄤ1" + ], + "哑": [ + "ㄧㄚ3", + "ㄧㄚ1" + ], + "哒": [ + "ㄉㄚ2", + "ㄉㄚ1" + ], + "哓": [ + "ㄒㄧㄠ1" + ], + "哔": [ + "ㄅㄧ4" + ], + "哕": [ + "ㄏㄨㄟ4", + "ㄩㄝ3" + ], + "哖": [ + "ㄋㄧㄢ2" + ], + "哗": [ + "ㄏㄨㄚ1", + "ㄏㄨㄚ2" + ], + "哘": [ + "ㄒㄧㄥ5" + ], + "哙": [ + "ㄎㄨㄞ4" + ], + "哚": [ + "ㄉㄨㄛ3" + ], + "哛": [ + "ㄈㄣ1" + ], + "哜": [ + "ㄐㄧ4" + ], + "哝": [ + "ㄋㄨㄥ2" + ], + "哞": [ + "ㄇㄡ1" + ], + "哟": [ + "ㄧㄛ1", + "ㄧㄛ5" + ], + "哠": [ + "ㄏㄠ4" + ], + "員": [ + "ㄩㄢ2", + "ㄩㄣ2", + "ㄩㄣ4" + ], + "哢": [ + "ㄌㄨㄥ4" + ], + "哣": [ + "ㄆㄡ3" + ], + "哤": [ + "ㄇㄤ2" + ], + "哥": [ + "ㄍㄜ1" + ], + "哦": [ + "ㄛ2", + "ㄜ2", + "ㄛ4" + ], + "哧": [ + "ㄔ1", + "ㄒㄧㄚ4", + "ㄏㄜ4" + ], + "哨": [ + "ㄕㄠ4", + "ㄙㄠ1", + "ㄒㄧㄠ1", + "ㄒㄧㄠ4", + "ㄙㄠ4" + ], + "哩": [ + "ㄌㄧ1", + "ㄌㄧ5", + "ㄌㄧ4", + "ㄌㄧ3", + "ㄇㄞ2", + "ㄧㄥ1" + ], + "哪": [ + "ㄋㄚ3", + "ㄋㄚ5", + "ㄋㄜ2", + "ㄋㄨㄛ2", + "ㄋㄞ3", + "ㄋㄚ4", + "ㄋㄧㄝ4", + "ㄋㄟ3" + ], + "哫": [ + "ㄗㄨ2" + ], + "哬": [ + "ㄏㄜ2" + ], + "哭": [ + "ㄎㄨ1" + ], + "哮": [ + "ㄒㄧㄠ1", + "ㄒㄧㄠ4", + "ㄒㄩㄝ1" + ], + "哯": [ + "ㄒㄧㄢ4" + ], + "哰": [ + "ㄌㄠ2" + ], + "哱": [ + "ㄅㄛ1", + "ㄆㄛ4", + "ㄅㄟ4", + "ㄅㄚ1", + "ㄅㄛ2" + ], + "哲": [ + "ㄓㄜ2" + ], + "哳": [ + "ㄓㄚ1" + ], + "哴": [ + "ㄌㄧㄤ4", + "ㄌㄤ2" + ], + "哵": [ + "ㄅㄚ1" + ], + "哶": [ + "ㄇㄧㄝ1" + ], + "哷": [ + "ㄌㄧㄝ4", + "ㄌㄩ4" + ], + "哸": [ + "ㄙㄨㄟ1" + ], + "哹": [ + "ㄈㄨ2" + ], + "哺": [ + "ㄅㄨ3", + "ㄅㄨ1", + "ㄈㄨ3" + ], + "哻": [ + "ㄏㄢ1" + ], + "哼": [ + "ㄏㄥ1", + "ㄏㄋㄍ5" + ], + "哽": [ + "ㄍㄥ3", + "ㄧㄥ3", + "ㄧㄥ4", + "ㄋㄍ2", + "ㄣ2" + ], + "哾": [ + "ㄕㄨㄛ1", + "ㄩㄝ4" + ], + "哿": [ + "ㄍㄜ3" + ], + "唀": [ + "ㄧㄡ4" + ], + "唁": [ + "ㄧㄢ4" + ], + "唂": [ + "ㄍㄨ1" + ], + "唃": [ + "ㄍㄨ3" + ], + "唄": [ + "ㄅㄟ5", + "ㄅㄞ4" + ], + "唅": [ + "ㄏㄢ2" + ], + "唆": [ + "ㄙㄨㄛ1", + "ㄕㄨㄚ4" + ], + "唇": [ + "ㄔㄨㄣ2", + "ㄓㄣ1", + "ㄓㄣ4" + ], + "唈": [ + "ㄧ4" + ], + "唉": [ + "ㄞ1", + "ㄞ4", + "ㄞ3" + ], + "唊": [ + "ㄐㄧㄚ2", + "ㄑㄧㄢ3" + ], + "唋": [ + "ㄊㄨ1" + ], + "唌": [ + "ㄒㄧㄢ2", + "ㄧㄢ2", + "ㄉㄢ4" + ], + "唍": [ + "ㄨㄢ3" + ], + "唎": [ + "ㄌㄧ4" + ], + "唏": [ + "ㄒㄧ1", + "ㄒㄧㄝ4" + ], + "唐": [ + "ㄊㄤ2" + ], + "唑": [ + "ㄗㄨㄛ4", + "ㄕ4" + ], + "唒": [ + "ㄑㄧㄡ2" + ], + "唓": [ + "ㄔㄜ1" + ], + "唔": [ + "ㄨ2", + "ㄨ4", + "ㄋㄍ2", + "ㄇㄨ2", + "ㄣ2" + ], + "唕": [ + "ㄗㄠ4" + ], + "唖": [ + "ㄧㄚ3" + ], + "唗": [ + "ㄉㄡ1" + ], + "唘": [ + "ㄑㄧ3" + ], + "唙": [ + "ㄉㄧ2" + ], + "唚": [ + "ㄑㄧㄣ4", + "ㄑㄧㄣ1" + ], + "唛": [ + "ㄇㄚ4", + "ㄇㄞ4" + ], + "唜": [ + "ㄇㄛ4" + ], + "唝": [ + "ㄍㄨㄥ4", + "ㄏㄨㄥ3" + ], + "唞": [ + "ㄉㄡ3" + ], + "唟": [ + "ㄑㄩ4" + ], + "唠": [ + "ㄌㄠ2", + "ㄌㄠ4" + ], + "唡": [ + "ㄌㄧㄤ3", + "ㄧㄥ1" + ], + "唢": [ + "ㄙㄨㄛ3" + ], + "唣": [ + "ㄗㄠ4" + ], + "唤": [ + "ㄏㄨㄢ4" + ], + "唥": [ + "ㄌㄤ5" + ], + "唦": [ + "ㄕㄚ1" + ], + "唧": [ + "ㄐㄧ1", + "ㄐㄧㄝ2" + ], + "唨": [ + "ㄗㄨ3" + ], + "唩": [ + "ㄨㄛ1", + "ㄨㄟ3" + ], + "唪": [ + "ㄈㄥ3", + "ㄅㄥ3" + ], + "唫": [ + "ㄐㄧㄣ4", + "ㄧㄣ2" + ], + "唬": [ + "ㄏㄨ3", + "ㄒㄧㄠ1", + "ㄍㄨㄛ2", + "ㄒㄧㄚ4", + "ㄏㄠ2" + ], + "唭": [ + "ㄑㄧ4" + ], + "售": [ + "ㄕㄡ4", + "ㄕㄨ2" + ], + "唯": [ + "ㄨㄟ2", + "ㄨㄟ3" + ], + "唰": [ + "ㄕㄨㄚ1" + ], + "唱": [ + "ㄔㄤ4" + ], + "唲": [ + "ㄦ2", + "ㄨㄚ1" + ], + "唳": [ + "ㄌㄧ4" + ], + "唴": [ + "ㄑㄧㄤ4" + ], + "唵": [ + "ㄢ3", + "ㄋㄍ5", + "ㄋ5" + ], + "唶": [ + "ㄗㄜ2", + "ㄐㄧㄝ4" + ], + "唷": [ + "ㄧㄛ1", + "ㄩ4" + ], + "唸": [ + "ㄋㄧㄢ4", + "ㄉㄧㄢ4" + ], + "唹": [ + "ㄩ1" + ], + "唺": [ + "ㄊㄧㄢ3" + ], + "唻": [ + "ㄌㄞ4", + "ㄌㄞ2" + ], + "唼": [ + "ㄕㄚ4", + "ㄑㄧㄝ4" + ], + "唽": [ + "ㄒㄧ1" + ], + "唾": [ + "ㄊㄨㄛ4" + ], + "唿": [ + "ㄏㄨ1" + ], + "啀": [ + "ㄞ2" + ], + "啁": [ + "ㄓㄠ1", + "ㄓㄡ1", + "ㄉㄠ1", + "ㄊㄧㄠ2", + "ㄉㄧㄠ4" + ], + "啂": [ + "ㄋㄡ3" + ], + "啃": [ + "ㄎㄣ3" + ], + "啄": [ + "ㄓㄨㄛ2", + "ㄓㄡ4" + ], + "啅": [ + "ㄓㄨㄛ2", + "ㄓㄠ4" + ], + "商": [ + "ㄕㄤ1" + ], + "啇": [ + "ㄉㄧ4", + "ㄕ4", + "ㄓㄞ1" + ], + "啈": [ + "ㄏㄥ1", + "ㄏㄥ4", + "ㄜ4", + "ㄗㄚ2" + ], + "啉": [ + "ㄌㄧㄣ2", + "ㄌㄢ2", + "ㄌㄣ4" + ], + "啊": [ + "ㄚ5", + "ㄚ1", + "ㄚ2", + "ㄚ3", + "ㄚ4", + "ㄜ4" + ], + "啋": [ + "ㄘㄞ3", + "ㄘㄞ1", + "ㄒㄧㄠ1" + ], + "啌": [ + "ㄒㄧㄤ1", + "ㄑㄧㄤ1" + ], + "啍": [ + "ㄊㄨㄣ1", + "ㄓㄨㄣ1", + "ㄒㄧㄤ1", + "ㄊㄨㄟ1", + "ㄉㄨㄟ3" + ], + "啎": [ + "ㄨ3" + ], + "問": [ + "ㄨㄣ4" + ], + "啐": [ + "ㄘㄨㄟ4", + "ㄗㄨ2", + "ㄗㄚ2", + "ㄜ4", + "ㄔㄨㄞ4" + ], + "啑": [ + "ㄕㄚ4", + "ㄗㄚ1", + "ㄐㄧㄝ2", + "ㄉㄧㄝ2", + "ㄊㄧ4" + ], + "啒": [ + "ㄍㄨ3" + ], + "啓": [ + "ㄑㄧ3" + ], + "啔": [ + "ㄑㄧ3" + ], + "啕": [ + "ㄊㄠ2" + ], + "啖": [ + "ㄉㄢ4" + ], + "啗": [ + "ㄉㄢ4" + ], + "啘": [ + "ㄧㄝ4", + "ㄨㄚ1" + ], + "啙": [ + "ㄗ3", + "ㄘ1" + ], + "啚": [ + "ㄅㄧ3", + "ㄊㄨ2" + ], + "啛": [ + "ㄘㄨㄟ4" + ], + "啜": [ + "ㄔㄨㄞ4", + "ㄔㄨㄛ4", + "ㄓㄨㄛ2" + ], + "啝": [ + "ㄏㄜ2" + ], + "啞": [ + "ㄧㄚ3", + "ㄜ4", + "ㄧㄚ1" + ], + "啟": [ + "ㄑㄧ3" + ], + "啠": [ + "ㄓㄜ2" + ], + "啡": [ + "ㄈㄟ1", + "ㄆㄟ4", + "ㄆㄞ2", + "ㄆㄟ1", + "ㄅㄞ4" + ], + "啢": [ + "ㄌㄧㄤ3", + "ㄧㄥ1" + ], + "啣": [ + "ㄒㄧㄢ2" + ], + "啤": [ + "ㄆㄧ2" + ], + "啥": [ + "ㄕㄚ2", + "ㄕㄚ4" + ], + "啦": [ + "ㄌㄚ5", + "ㄌㄚ1" + ], + "啧": [ + "ㄗㄜ2" + ], + "啨": [ + "ㄧㄥ1", + "ㄑㄧㄥ2" + ], + "啩": [ + "ㄍㄨㄚ4" + ], + "啪": [ + "ㄆㄚ1" + ], + "啫": [ + "ㄓㄜ3" + ], + "啬": [ + "ㄙㄜ4" + ], + "啭": [ + "ㄓㄨㄢ4" + ], + "啮": [ + "ㄋㄧㄝ4" + ], + "啯": [ + "ㄍㄨㄛ1" + ], + "啰": [ + "ㄌㄨㄛ1", + "ㄌㄨㄛ2", + "ㄌㄨㄛ5" + ], + "啱": [ + "ㄧㄢ2" + ], + "啲": [ + "ㄉㄧ1" + ], + "啳": [ + "ㄑㄩㄢ2", + "ㄐㄩㄝ2" + ], + "啴": [ + "ㄔㄢ3", + "ㄊㄢ1" + ], + "啵": [ + "ㄅㄛ1", + "ㄅㄛ5" + ], + "啶": [ + "ㄉㄧㄥ4" + ], + "啷": [ + "ㄌㄤ1" + ], + "啸": [ + "ㄒㄧㄠ4" + ], + "啹": [ + "ㄐㄩ2" + ], + "啺": [ + "ㄊㄤ2" + ], + "啻": [ + "ㄔ4", + "ㄉㄧ4" + ], + "啼": [ + "ㄊㄧ2" + ], + "啽": [ + "ㄢ2", + "ㄢ1" + ], + "啾": [ + "ㄐㄧㄡ1" + ], + "啿": [ + "ㄉㄢ4" + ], + "喀": [ + "ㄎㄚ1", + "ㄎㄜ4", + "ㄎㄜ5" + ], + "喁": [ + "ㄩㄥ2", + "ㄩ2" + ], + "喂": [ + "ㄨㄟ4" + ], + "喃": [ + "ㄋㄢ2", + "ㄋㄢ3" + ], + "善": [ + "ㄕㄢ4" + ], + "喅": [ + "ㄩ4" + ], + "喆": [ + "ㄓㄜ2" + ], + "喇": [ + "ㄌㄚ3", + "ㄌㄚ2", + "ㄌㄚ1", + "ㄌㄚ5" + ], + "喈": [ + "ㄐㄧㄝ1", + "ㄒㄧㄝ4" + ], + "喉": [ + "ㄏㄡ2" + ], + "喊": [ + "ㄏㄢ3", + "ㄎㄢ4", + "ㄐㄧㄢ1" + ], + "喋": [ + "ㄉㄧㄝ2", + "ㄓㄚ2", + "ㄑㄧㄝ4" + ], + "喌": [ + "ㄓㄡ1" + ], + "喍": [ + "ㄔㄞ2" + ], + "喎": [ + "ㄨㄞ1" + ], + "喏": [ + "ㄋㄨㄛ4", + "ㄖㄜ3" + ], + "喐": [ + "ㄩ4" + ], + "喑": [ + "ㄧㄣ1", + "ㄧㄣ3", + "ㄧㄣ4" + ], + "喒": [ + "ㄗㄚ2", + "ㄗㄢ3", + "ㄗㄢ2", + "ㄗㄚ4", + "ㄗㄢ5" + ], + "喓": [ + "ㄧㄠ1" + ], + "喔": [ + "ㄛ1", + "ㄨㄛ1", + "ㄨ1", + "ㄛ5", + "ㄛ4" + ], + "喕": [ + "ㄇㄧㄢ3" + ], + "喖": [ + "ㄏㄨ2" + ], + "喗": [ + "ㄩㄣ3" + ], + "喘": [ + "ㄔㄨㄢ3" + ], + "喙": [ + "ㄏㄨㄟ4", + "ㄓㄡ4" + ], + "喚": [ + "ㄏㄨㄢ4" + ], + "喛": [ + "ㄏㄨㄢ4", + "ㄩㄢ2", + "ㄒㄩㄢ3", + "ㄏㄜ2" + ], + "喜": [ + "ㄒㄧ3", + "ㄒㄧ1", + "ㄔ4" + ], + "喝": [ + "ㄏㄜ1", + "ㄏㄜ4", + "ㄧㄝ4", + "ㄎㄞ4" + ], + "喞": [ + "ㄐㄧ1" + ], + "喟": [ + "ㄎㄨㄟ4", + "ㄏㄨㄞ4" + ], + "喠": [ + "ㄓㄨㄥ3", + "ㄔㄨㄥ3" + ], + "喡": [ + "ㄨㄟ2", + "ㄨㄟ4" + ], + "喢": [ + "ㄕㄚ4", + "ㄔㄜ4" + ], + "喣": [ + "ㄒㄩ3" + ], + "喤": [ + "ㄏㄨㄤ2" + ], + "喥": [ + "ㄉㄨㄛ2", + "ㄓㄚ4" + ], + "喦": [ + "ㄋㄧㄝ4", + "ㄧ4" + ], + "喧": [ + "ㄒㄩㄢ1", + "ㄒㄩㄢ3" + ], + "喨": [ + "ㄌㄧㄤ4" + ], + "喩": [ + "ㄩ4" + ], + "喪": [ + "ㄙㄤ4", + "ㄙㄤ1" + ], + "喫": [ + "ㄔ1", + "ㄎㄞ4" + ], + "喬": [ + "ㄑㄧㄠ2", + "ㄐㄧㄠ3" + ], + "喭": [ + "ㄧㄢ4", + "ㄧㄢ3" + ], + "單": [ + "ㄉㄢ1", + "ㄉㄢ3", + "ㄔㄢ2", + "ㄕㄢ4", + "ㄔㄢ3", + "ㄉㄢ4", + "ㄓㄢ4", + "ㄊㄢ2" + ], + "喯": [ + "ㄆㄣ4", + "ㄅㄣ1" + ], + "喰": [ + "ㄘㄢ1", + "ㄙㄨㄣ1", + "ㄑㄧ1" + ], + "喱": [ + "ㄌㄧ2" + ], + "喲": [ + "ㄧㄛ1", + "ㄧㄛ5" + ], + "喳": [ + "ㄓㄚ1", + "ㄔㄚ1", + "ㄓㄚ5" + ], + "喴": [ + "ㄨㄟ1" + ], + "喵": [ + "ㄇㄧㄠ1" + ], + "営": [ + "ㄧㄥ2" + ], + "喷": [ + "ㄆㄣ1", + "ㄆㄣ4" + ], + "喸": [ + "ㄅㄨ3" + ], + "喹": [ + "ㄎㄨㄟ2" + ], + "喺": [ + "ㄒㄧ2" + ], + "喻": [ + "ㄩ4", + "ㄩ2" + ], + "喼": [ + "ㄐㄧㄝ1" + ], + "喽": [ + "ㄌㄡ2", + "ㄌㄡ5" + ], + "喾": [ + "ㄎㄨ4" + ], + "喿": [ + "ㄗㄠ4", + "ㄑㄧㄠ1" + ], + "嗀": [ + "ㄏㄨ4" + ], + "嗁": [ + "ㄊㄧ2" + ], + "嗂": [ + "ㄧㄠ2" + ], + "嗃": [ + "ㄏㄜ4", + "ㄒㄧㄠ1", + "ㄒㄧㄠ4", + "ㄏㄨ4" + ], + "嗄": [ + "ㄚ2", + "ㄕㄚ4", + "ㄚ5", + "ㄒㄧㄚ4" + ], + "嗅": [ + "ㄒㄧㄡ4" + ], + "嗆": [ + "ㄑㄧㄤ1", + "ㄑㄧㄤ4", + "ㄔㄥ2" + ], + "嗇": [ + "ㄙㄜ4" + ], + "嗈": [ + "ㄩㄥ1" + ], + "嗉": [ + "ㄙㄨ4" + ], + "嗊": [ + "ㄏㄨㄥ3", + "ㄍㄨㄥ3", + "ㄍㄨㄥ4" + ], + "嗋": [ + "ㄒㄧㄝ2" + ], + "嗌": [ + "ㄞ4", + "ㄧ4", + "ㄨㄛ4" + ], + "嗍": [ + "ㄙㄨㄛ1", + "ㄕㄨㄛ4" + ], + "嗎": [ + "ㄇㄚ5", + "ㄇㄚ4", + "ㄇㄚ2", + "ㄇㄚ3" + ], + "嗏": [ + "ㄔㄚ1" + ], + "嗐": [ + "ㄏㄞ4" + ], + "嗑": [ + "ㄎㄜ1", + "ㄎㄜ4", + "ㄏㄜ2", + "ㄒㄧㄚ2" + ], + "嗒": [ + "ㄉㄚ1", + "ㄊㄚ4", + "ㄉㄚ5" + ], + "嗓": [ + "ㄙㄤ3" + ], + "嗔": [ + "ㄔㄣ1", + "ㄊㄧㄢ2" + ], + "嗕": [ + "ㄖㄨ4" + ], + "嗖": [ + "ㄙㄡ1", + "ㄙㄨ4", + "ㄙㄡ4" + ], + "嗗": [ + "ㄨㄚ1", + "ㄍㄨ1" + ], + "嗘": [ + "ㄐㄧ1" + ], + "嗙": [ + "ㄆㄤ3", + "ㄅㄥ1", + "ㄅㄤ4" + ], + "嗚": [ + "ㄨ1", + "ㄨ4" + ], + "嗛": [ + "ㄑㄧㄢ3", + "ㄒㄧㄢ2", + "ㄑㄧㄢ4", + "ㄑㄧㄢ1", + "ㄑㄧㄝ4" + ], + "嗜": [ + "ㄕ4" + ], + "嗝": [ + "ㄍㄜ2" + ], + "嗞": [ + "ㄗ1" + ], + "嗟": [ + "ㄐㄧㄝ1", + "ㄐㄧㄝ4", + "ㄐㄩㄝ1" + ], + "嗠": [ + "ㄌㄠ4" + ], + "嗡": [ + "ㄨㄥ1", + "ㄨㄥ3" + ], + "嗢": [ + "ㄨㄚ4" + ], + "嗣": [ + "ㄙ4" + ], + "嗤": [ + "ㄔ1" + ], + "嗥": [ + "ㄏㄠ2" + ], + "嗦": [ + "ㄙㄨㄛ5", + "ㄙㄨㄛ1" + ], + "嗨": [ + "ㄏㄞ1", + "ㄏㄟ1" + ], + "嗩": [ + "ㄙㄨㄛ3" + ], + "嗪": [ + "ㄑㄧㄣ2" + ], + "嗫": [ + "ㄋㄧㄝ4" + ], + "嗬": [ + "ㄏㄜ1" + ], + "嗭": [ + "ㄓ2" + ], + "嗮": [ + "ㄙㄞ4" + ], + "嗯": [ + "ㄣ2", + "ㄋㄍ2", + "ㄋㄍ3", + "ㄋㄍ4", + "ㄣ3", + "ㄣ4" + ], + "嗰": [ + "ㄍㄜ3" + ], + "嗱": [ + "ㄋㄚ2" + ], + "嗲": [ + "ㄉㄧㄝ1", + "ㄉㄧㄚ3" + ], + "嗳": [ + "ㄞ1", + "ㄞ3", + "ㄞ4" + ], + "嗴": [ + "ㄑㄧㄤ1" + ], + "嗵": [ + "ㄊㄨㄥ1" + ], + "嗶": [ + "ㄅㄧ4" + ], + "嗷": [ + "ㄠ2" + ], + "嗸": [ + "ㄠ2" + ], + "嗹": [ + "ㄌㄧㄢ2" + ], + "嗺": [ + "ㄗㄨㄟ1", + "ㄙㄨㄟ1", + "ㄗㄨㄟ3" + ], + "嗻": [ + "ㄓㄜ1", + "ㄓㄜ4", + "ㄓㄨ4", + "ㄓㄜ5" + ], + "嗼": [ + "ㄇㄛ4" + ], + "嗽": [ + "ㄙㄡ4", + "ㄕㄨㄛ4", + "ㄕㄨ4" + ], + "嗾": [ + "ㄙㄡ3" + ], + "嗿": [ + "ㄊㄢ3" + ], + "嘀": [ + "ㄉㄧ2", + "ㄓㄜ2", + "ㄉㄧ1" + ], + "嘁": [ + "ㄑㄧ1", + "ㄗㄨ2", + "ㄗㄚ1" + ], + "嘂": [ + "ㄐㄧㄠ4" + ], + "嘃": [ + "ㄔㄨㄥ1" + ], + "嘄": [ + "ㄐㄧㄠ1", + "ㄐㄧㄠ4", + "ㄉㄠ3" + ], + "嘅": [ + "ㄎㄞ3", + "ㄎㄞ4", + "ㄍㄜ2" + ], + "嘆": [ + "ㄊㄢ4" + ], + "嘇": [ + "ㄕㄢ1", + "ㄘㄢ4", + "ㄕㄣ3" + ], + "嘈": [ + "ㄘㄠ2" + ], + "嘉": [ + "ㄐㄧㄚ1" + ], + "嘊": [ + "ㄞ2" + ], + "嘋": [ + "ㄒㄧㄠ4" + ], + "嘌": [ + "ㄆㄧㄠ4", + "ㄆㄧㄠ1" + ], + "嘍": [ + "ㄌㄡ2", + "ㄌㄡ3", + "ㄌㄡ5" + ], + "嘎": [ + "ㄍㄚ1", + "ㄍㄚ2", + "ㄍㄚ3" + ], + "嘏": [ + "ㄍㄨ3", + "ㄐㄧㄚ3" + ], + "嘐": [ + "ㄒㄧㄠ1", + "ㄐㄧㄠ1", + "ㄌㄠ2", + "ㄅㄠ4", + "ㄇㄧㄡ4" + ], + "嘑": [ + "ㄏㄨ1", + "ㄏㄨ4" + ], + "嘒": [ + "ㄏㄨㄟ4" + ], + "嘓": [ + "ㄍㄨㄛ1" + ], + "嘔": [ + "ㄡ3", + "ㄡ1", + "ㄡ4", + "ㄒㄩ1", + "ㄔㄨ1", + "ㄡ5" + ], + "嘕": [ + "ㄒㄧㄢ1" + ], + "嘖": [ + "ㄗㄜ2" + ], + "嘗": [ + "ㄔㄤ2" + ], + "嘘": [ + "ㄒㄩ1", + "ㄕ1" + ], + "嘙": [ + "ㄆㄛ2" + ], + "嘚": [ + "ㄉㄜ1", + "ㄉㄟ1", + "ㄉㄜ2", + "ㄉㄞ1" + ], + "嘛": [ + "ㄇㄚ5", + "ㄇㄚ2" + ], + "嘜": [ + "ㄇㄚ4" + ], + "嘝": [ + "ㄏㄨ2" + ], + "嘞": [ + "ㄌㄟ5", + "ㄌㄜ1" + ], + "嘟": [ + "ㄉㄨ1" + ], + "嘠": [ + "ㄍㄚ1" + ], + "嘡": [ + "ㄊㄤ1" + ], + "嘢": [ + "ㄧㄝ3" + ], + "嘣": [ + "ㄅㄥ1" + ], + "嘤": [ + "ㄧㄥ1" + ], + "嘥": [ + "ㄙㄞ1" + ], + "嘦": [ + "ㄐㄧㄠ4" + ], + "嘧": [ + "ㄇㄧ4" + ], + "嘨": [ + "ㄒㄧㄠ4" + ], + "嘩": [ + "ㄏㄨㄚ1", + "ㄏㄨㄚ2" + ], + "嘪": [ + "ㄇㄞ3" + ], + "嘫": [ + "ㄖㄢ2" + ], + "嘬": [ + "ㄔㄨㄞ4", + "ㄗㄨㄛ1" + ], + "嘭": [ + "ㄆㄥ1" + ], + "嘮": [ + "ㄌㄠ2", + "ㄔㄠ1", + "ㄌㄠ4", + "ㄒㄧㄠ1" + ], + "嘯": [ + "ㄒㄧㄠ4", + "ㄔ4" + ], + "嘰": [ + "ㄐㄧ1" + ], + "嘱": [ + "ㄓㄨ3" + ], + "嘲": [ + "ㄔㄠ2", + "ㄓㄠ1" + ], + "嘳": [ + "ㄎㄨㄟ4" + ], + "嘴": [ + "ㄗㄨㄟ3" + ], + "嘵": [ + "ㄒㄧㄠ1" + ], + "嘶": [ + "ㄙ1" + ], + "嘷": [ + "ㄏㄠ2" + ], + "嘸": [ + "ㄈㄨ3", + "ㄨ3", + "ㄇㄨ1", + "ㄇㄨ2" + ], + "嘹": [ + "ㄌㄧㄠ2", + "ㄌㄧㄠ4" + ], + "嘺": [ + "ㄑㄧㄠ2", + "ㄑㄧㄠ4" + ], + "嘻": [ + "ㄒㄧ1" + ], + "嘼": [ + "ㄔㄨ4", + "ㄒㄩ4", + "ㄕㄡ4" + ], + "嘽": [ + "ㄔㄢ3", + "ㄊㄢ1", + "ㄔㄢ1", + "ㄊㄨㄛ1", + "ㄉㄢ3" + ], + "嘾": [ + "ㄉㄢ4", + "ㄊㄢ2" + ], + "嘿": [ + "ㄏㄟ1", + "ㄇㄛ4", + "ㄇㄨ4" + ], + "噀": [ + "ㄒㄩㄣ4" + ], + "噁": [ + "ㄜ3", + "ㄨ4", + "ㄨㄛ4" + ], + "噂": [ + "ㄗㄨㄣ3" + ], + "噃": [ + "ㄈㄢ1", + "ㄅㄛ5" + ], + "噄": [ + "ㄔ1" + ], + "噅": [ + "ㄏㄨㄟ1" + ], + "噆": [ + "ㄗㄢ3", + "ㄘㄢ3" + ], + "噇": [ + "ㄔㄨㄤ2" + ], + "噈": [ + "ㄘㄨ4", + "ㄗㄚ1", + "ㄏㄜ2" + ], + "噉": [ + "ㄉㄢ4" + ], + "噊": [ + "ㄩ4" + ], + "噋": [ + "ㄊㄨㄣ1", + "ㄎㄨㄛ4" + ], + "噌": [ + "ㄘㄥ1", + "ㄔㄥ1" + ], + "噍": [ + "ㄐㄧㄠ4", + "ㄐㄧㄠ1", + "ㄐㄧㄡ1" + ], + "噎": [ + "ㄧㄝ1", + "ㄧ4", + "ㄕㄚ4" + ], + "噏": [ + "ㄒㄧ1" + ], + "噐": [ + "ㄑㄧ4" + ], + "噑": [ + "ㄏㄠ2" + ], + "噒": [ + "ㄌㄧㄢ2" + ], + "噓": [ + "ㄒㄩ1" + ], + "噔": [ + "ㄉㄥ1" + ], + "噕": [ + "ㄏㄨㄟ1" + ], + "噖": [ + "ㄧㄣ2" + ], + "噗": [ + "ㄆㄨ1" + ], + "噘": [ + "ㄐㄩㄝ1" + ], + "噙": [ + "ㄑㄧㄣ2" + ], + "噚": [ + "ㄒㄩㄣ2" + ], + "噛": [ + "ㄋㄧㄝ4" + ], + "噜": [ + "ㄌㄨ1" + ], + "噝": [ + "ㄙ1" + ], + "噞": [ + "ㄧㄢ3" + ], + "噟": [ + "ㄧㄥ4" + ], + "噠": [ + "ㄉㄚ1", + "ㄉㄚ2" + ], + "噡": [ + "ㄓㄢ1", + "ㄉㄢ1" + ], + "噢": [ + "ㄛ1", + "ㄩ3", + "ㄩ4", + "ㄠ4" + ], + "噣": [ + "ㄓㄡ4", + "ㄓㄨㄛ2", + "ㄓㄨ2", + "ㄉㄨ2" + ], + "噤": [ + "ㄐㄧㄣ4" + ], + "噥": [ + "ㄋㄨㄥ2", + "ㄋㄤ2" + ], + "噦": [ + "ㄩㄝ3", + "ㄏㄨㄟ4" + ], + "噧": [ + "ㄒㄧㄝ4" + ], + "器": [ + "ㄑㄧ4" + ], + "噩": [ + "ㄜ4" + ], + "噪": [ + "ㄗㄠ4" + ], + "噫": [ + "ㄧ1", + "ㄞ3", + "ㄧ4" + ], + "噬": [ + "ㄕ4" + ], + "噭": [ + "ㄐㄧㄠ4", + "ㄑㄧㄠ4", + "ㄔ1" + ], + "噮": [ + "ㄩㄢ4" + ], + "噯": [ + "ㄞ1", + "ㄞ3", + "ㄞ4" + ], + "噰": [ + "ㄩㄥ1", + "ㄩㄥ3" + ], + "噱": [ + "ㄐㄩㄝ2", + "ㄒㄩㄝ2" + ], + "噲": [ + "ㄎㄨㄞ4", + "ㄍㄨㄞ4", + "ㄎㄨㄛ4", + "ㄨㄟ4" + ], + "噳": [ + "ㄩ3" + ], + "噴": [ + "ㄆㄣ1", + "ㄆㄣ4", + "ㄈㄣ4" + ], + "噵": [ + "ㄉㄠ4" + ], + "噶": [ + "ㄍㄚ2", + "ㄍㄜ2" + ], + "噷": [ + "ㄏㄇ5", + "ㄒㄧㄣ1", + "ㄏㄣ1" + ], + "噸": [ + "ㄉㄨㄣ1" + ], + "噹": [ + "ㄉㄤ1" + ], + "噺": [ + "ㄒㄧㄣ1" + ], + "噻": [ + "ㄙㄞ1" + ], + "噼": [ + "ㄆㄧ1" + ], + "噽": [ + "ㄆㄧ3" + ], + "噾": [ + "ㄧㄣ1" + ], + "噿": [ + "ㄗㄨㄟ3" + ], + "嚀": [ + "ㄋㄧㄥ2" + ], + "嚁": [ + "ㄉㄧ2" + ], + "嚂": [ + "ㄌㄢ4", + "ㄏㄢ3" + ], + "嚃": [ + "ㄊㄚ1", + "ㄊㄚ4" + ], + "嚄": [ + "ㄏㄨㄛ1", + "ㄏㄨㄛ4", + "ㄨㄛ4", + "ㄛ3" + ], + "嚅": [ + "ㄖㄨ2" + ], + "嚆": [ + "ㄏㄠ1" + ], + "嚇": [ + "ㄒㄧㄚ4", + "ㄏㄜ4" + ], + "嚈": [ + "ㄧㄝ4" + ], + "嚉": [ + "ㄉㄨㄛ1" + ], + "嚊": [ + "ㄆㄧ4", + "ㄒㄧ4", + "ㄒㄧㄡ4" + ], + "嚋": [ + "ㄔㄡ2", + "ㄓㄡ1" + ], + "嚌": [ + "ㄐㄧ4", + "ㄐㄧㄝ1", + "ㄓㄞ1" + ], + "嚍": [ + "ㄐㄧㄣ4" + ], + "嚎": [ + "ㄏㄠ2" + ], + "嚏": [ + "ㄊㄧ4" + ], + "嚐": [ + "ㄔㄤ2" + ], + "嚑": [ + "ㄒㄩㄣ1" + ], + "嚒": [ + "ㄇㄜ1" + ], + "嚓": [ + "ㄘㄚ1", + "ㄔㄚ1" + ], + "嚔": [ + "ㄊㄧ4", + "ㄓ4" + ], + "嚕": [ + "ㄌㄨ3", + "ㄌㄨ1" + ], + "嚖": [ + "ㄏㄨㄟ4" + ], + "嚗": [ + "ㄅㄛ2", + "ㄆㄠ4", + "ㄅㄠ4" + ], + "嚘": [ + "ㄧㄡ1" + ], + "嚙": [ + "ㄋㄧㄝ4", + "ㄧㄠ3" + ], + "嚚": [ + "ㄧㄣ2" + ], + "嚛": [ + "ㄏㄨ4", + "ㄧㄛ5" + ], + "嚜": [ + "ㄇㄜ5", + "ㄇㄟ4", + "ㄇㄚ5" + ], + "嚝": [ + "ㄏㄨㄥ1" + ], + "嚞": [ + "ㄓㄜ2" + ], + "嚟": [ + "ㄌㄧ2" + ], + "嚠": [ + "ㄌㄧㄡ2" + ], + "嚡": [ + "ㄏㄞ5" + ], + "嚢": [ + "ㄋㄤ2" + ], + "嚣": [ + "ㄒㄧㄠ1", + "ㄠ2" + ], + "嚤": [ + "ㄇㄛ2" + ], + "嚥": [ + "ㄧㄢ4" + ], + "嚦": [ + "ㄌㄧ4" + ], + "嚧": [ + "ㄌㄨ2" + ], + "嚨": [ + "ㄌㄨㄥ2" + ], + "嚩": [ + "ㄇㄛ2" + ], + "嚪": [ + "ㄉㄢ4" + ], + "嚫": [ + "ㄔㄣ4" + ], + "嚬": [ + "ㄆㄧㄣ2" + ], + "嚭": [ + "ㄆㄧ3" + ], + "嚮": [ + "ㄒㄧㄤ4", + "ㄒㄧㄤ3" + ], + "嚯": [ + "ㄏㄨㄛ4", + "ㄒㄩㄝ4" + ], + "嚰": [ + "ㄇㄛ2" + ], + "嚱": [ + "ㄒㄧ4" + ], + "嚲": [ + "ㄉㄨㄛ3" + ], + "嚳": [ + "ㄎㄨ4" + ], + "嚴": [ + "ㄧㄢ2", + "ㄧㄢ3" + ], + "嚵": [ + "ㄔㄢ2", + "ㄔㄢ1" + ], + "嚶": [ + "ㄧㄥ1" + ], + "嚷": [ + "ㄖㄤ3", + "ㄖㄤ1" + ], + "嚸": [ + "ㄉㄧㄢ3" + ], + "嚹": [ + "ㄌㄚ2", + "ㄌㄚ5" + ], + "嚺": [ + "ㄊㄚ4" + ], + "嚻": [ + "ㄒㄧㄠ1" + ], + "嚼": [ + "ㄐㄩㄝ2", + "ㄐㄧㄠ2", + "ㄐㄧㄠ4" + ], + "嚽": [ + "ㄔㄨㄛ4" + ], + "嚾": [ + "ㄏㄨㄢ1", + "ㄏㄨㄢ4" + ], + "嚿": [ + "ㄏㄨㄛ4" + ], + "囀": [ + "ㄓㄨㄢ4" + ], + "囁": [ + "ㄋㄧㄝ4", + "ㄓㄜ2" + ], + "囂": [ + "ㄒㄧㄠ1", + "ㄠ2" + ], + "囃": [ + "ㄘㄚ4", + "ㄓㄚ1", + "ㄗㄚ3" + ], + "囄": [ + "ㄌㄧ2" + ], + "囅": [ + "ㄔㄢ3" + ], + "囆": [ + "ㄔㄞ4" + ], + "囇": [ + "ㄌㄧ4" + ], + "囈": [ + "ㄧ4" + ], + "囉": [ + "ㄌㄨㄛ1", + "ㄌㄨㄛ2", + "ㄌㄨㄛ5" + ], + "囊": [ + "ㄋㄤ2", + "ㄋㄤ1" + ], + "囋": [ + "ㄗㄚ2", + "ㄗㄢ4", + "ㄘㄢ1" + ], + "囌": [ + "ㄙㄨ1" + ], + "囍": [ + "ㄒㄧ3" + ], + "囎": [ + "ㄗㄣ5" + ], + "囏": [ + "ㄐㄧㄢ1" + ], + "囐": [ + "ㄗㄚ2", + "ㄋㄧㄝ4", + "ㄧㄢ4", + "ㄜ4" + ], + "囑": [ + "ㄓㄨ3" + ], + "囒": [ + "ㄌㄢ2" + ], + "囓": [ + "ㄋㄧㄝ4" + ], + "囔": [ + "ㄋㄤ1", + "ㄋㄤ5" + ], + "囕": [ + "ㄌㄢ3" + ], + "囖": [ + "ㄌㄛ5" + ], + "囗": [ + "ㄨㄟ2", + "ㄍㄨㄛ2" + ], + "囘": [ + "ㄏㄨㄟ2" + ], + "囙": [ + "ㄧㄣ1" + ], + "囚": [ + "ㄑㄧㄡ2" + ], + "四": [ + "ㄙ4" + ], + "囜": [ + "ㄋㄧㄣ2" + ], + "囝": [ + "ㄐㄧㄢ3", + "ㄋㄢ1", + "ㄩㄝ4" + ], + "回": [ + "ㄏㄨㄟ2" + ], + "囟": [ + "ㄒㄧㄣ4" + ], + "因": [ + "ㄧㄣ1" + ], + "囡": [ + "ㄋㄢ1", + "ㄋㄧㄝ4" + ], + "团": [ + "ㄊㄨㄢ2", + "ㄑㄧㄡ2" + ], + "団": [ + "ㄊㄨㄢ2" + ], + "囤": [ + "ㄉㄨㄣ4", + "ㄊㄨㄣ2" + ], + "囥": [ + "ㄎㄤ4" + ], + "囦": [ + "ㄩㄢ1" + ], + "囧": [ + "ㄐㄩㄥ3" + ], + "囨": [ + "ㄆㄧㄢ1" + ], + "囩": [ + "ㄩㄣ2" + ], + "囪": [ + "ㄘㄨㄥ1" + ], + "囫": [ + "ㄏㄨ2" + ], + "囬": [ + "ㄏㄨㄟ2" + ], + "园": [ + "ㄩㄢ2", + "ㄨㄢ2" + ], + "囮": [ + "ㄜ2" + ], + "囯": [ + "ㄍㄨㄛ2" + ], + "困": [ + "ㄎㄨㄣ4" + ], + "囱": [ + "ㄘㄨㄥ1", + "ㄔㄨㄤ1" + ], + "囲": [ + "ㄊㄨㄥ1" + ], + "図": [ + "ㄊㄨ2" + ], + "围": [ + "ㄨㄟ2" + ], + "囵": [ + "ㄌㄨㄣ2" + ], + "囶": [ + "ㄍㄨㄛ2" + ], + "囷": [ + "ㄑㄩㄣ1" + ], + "囸": [ + "ㄖ4" + ], + "囹": [ + "ㄌㄧㄥ2" + ], + "固": [ + "ㄍㄨ4" + ], + "囻": [ + "ㄍㄨㄛ2" + ], + "囼": [ + "ㄊㄞ1" + ], + "国": [ + "ㄍㄨㄛ2" + ], + "图": [ + "ㄊㄨ2" + ], + "囿": [ + "ㄧㄡ4" + ], + "圀": [ + "ㄍㄨㄛ2" + ], + "圁": [ + "ㄧㄣ2" + ], + "圂": [ + "ㄏㄨㄣ4", + "ㄏㄨㄢ4" + ], + "圃": [ + "ㄆㄨ3" + ], + "圄": [ + "ㄩ3" + ], + "圅": [ + "ㄏㄢ2" + ], + "圆": [ + "ㄩㄢ2" + ], + "圇": [ + "ㄌㄨㄣ2" + ], + "圈": [ + "ㄑㄩㄢ1", + "ㄐㄩㄢ1", + "ㄐㄩㄢ4", + "ㄑㄩㄢ2", + "ㄐㄩㄢ3" + ], + "圉": [ + "ㄩ3" + ], + "圊": [ + "ㄑㄧㄥ1" + ], + "國": [ + "ㄍㄨㄛ2" + ], + "圌": [ + "ㄔㄨㄢ2", + "ㄔㄨㄟ2" + ], + "圍": [ + "ㄨㄟ2" + ], + "圎": [ + "ㄩㄢ2" + ], + "圏": [ + "ㄑㄩㄢ1" + ], + "圐": [ + "ㄎㄨ1" + ], + "圑": [ + "ㄆㄨ3" + ], + "園": [ + "ㄩㄢ2" + ], + "圓": [ + "ㄩㄢ2" + ], + "圔": [ + "ㄧㄚ4" + ], + "圕": [ + "ㄊㄨ2" + ], + "圖": [ + "ㄊㄨ2" + ], + "圗": [ + "ㄊㄨ2" + ], + "團": [ + "ㄊㄨㄢ2", + "ㄔㄨㄢ2" + ], + "圙": [ + "ㄌㄩㄝ4" + ], + "圚": [ + "ㄏㄨㄟ4" + ], + "圛": [ + "ㄧ4" + ], + "圜": [ + "ㄏㄨㄢ2", + "ㄩㄢ2" + ], + "圝": [ + "ㄌㄨㄢ2" + ], + "圞": [ + "ㄌㄨㄢ2" + ], + "土": [ + "ㄊㄨ3", + "ㄉㄨ4", + "ㄔㄚ3", + "ㄊㄨ2" + ], + "圠": [ + "ㄧㄚ4" + ], + "圡": [ + "ㄊㄨ3" + ], + "圢": [ + "ㄊㄧㄥ3" + ], + "圣": [ + "ㄕㄥ4", + "ㄎㄨ1" + ], + "圤": [ + "ㄆㄨ2" + ], + "圥": [ + "ㄌㄨ4" + ], + "圦": [ + "ㄎㄨㄞ4" + ], + "圧": [ + "ㄧㄚ1" + ], + "在": [ + "ㄗㄞ4" + ], + "圩": [ + "ㄨㄟ2", + "ㄒㄩ1", + "ㄩ2" + ], + "圪": [ + "ㄍㄜ1", + "ㄧ4" + ], + "圫": [ + "ㄩ4", + "ㄊㄨㄛ1", + "ㄓㄨㄣ1" + ], + "圬": [ + "ㄨ1" + ], + "圭": [ + "ㄍㄨㄟ1" + ], + "圮": [ + "ㄆㄧ3" + ], + "圯": [ + "ㄧ2" + ], + "地": [ + "ㄉㄧ4", + "ㄉㄜ5" + ], + "圱": [ + "ㄑㄧㄢ1", + "ㄙㄨ2" + ], + "圲": [ + "ㄑㄧㄢ1" + ], + "圳": [ + "ㄓㄣ4", + "ㄑㄩㄢ3", + "ㄔㄡ2", + "ㄏㄨㄞ2" + ], + "圴": [ + "ㄓㄨㄛ2" + ], + "圵": [ + "ㄉㄤ4" + ], + "圶": [ + "ㄑㄧㄚ4" + ], + "圷": [ + "ㄒㄧㄚ4" + ], + "圸": [ + "ㄕㄢ1" + ], + "圹": [ + "ㄎㄨㄤ4" + ], + "场": [ + "ㄔㄤ3", + "ㄔㄤ2" + ], + "圻": [ + "ㄑㄧ2", + "ㄧㄣ2" + ], + "圼": [ + "ㄋㄧㄝ4" + ], + "圽": [ + "ㄇㄛ4" + ], + "圾": [ + "ㄐㄧ1", + "ㄐㄧ2", + "ㄐㄧㄝ2" + ], + "圿": [ + "ㄐㄧㄚ2" + ], + "址": [ + "ㄓ3" + ], + "坁": [ + "ㄓ3", + "ㄓ4" + ], + "坂": [ + "ㄅㄢ3" + ], + "坃": [ + "ㄒㄩㄣ1" + ], + "坄": [ + "ㄧ4" + ], + "坅": [ + "ㄑㄧㄣ3" + ], + "坆": [ + "ㄇㄟ2", + "ㄈㄣ2" + ], + "均": [ + "ㄐㄩㄣ1", + "ㄩㄣ4" + ], + "坈": [ + "ㄖㄨㄥ3", + "ㄎㄥ1" + ], + "坉": [ + "ㄊㄨㄣ2", + "ㄉㄨㄣ4" + ], + "坊": [ + "ㄈㄤ1", + "ㄈㄤ2" + ], + "坋": [ + "ㄅㄣ4", + "ㄈㄣ4" + ], + "坌": [ + "ㄅㄣ4" + ], + "坍": [ + "ㄊㄢ1" + ], + "坎": [ + "ㄎㄢ3", + "ㄎㄢ4" + ], + "坏": [ + "ㄏㄨㄞ4", + "ㄆㄧ1", + "ㄆㄟ2" + ], + "坐": [ + "ㄗㄨㄛ4" + ], + "坑": [ + "ㄎㄥ1", + "ㄎㄤ4" + ], + "坒": [ + "ㄅㄧ4" + ], + "坓": [ + "ㄐㄧㄥ3", + "ㄒㄧㄥ2" + ], + "坔": [ + "ㄉㄧ4", + "ㄌㄢ4" + ], + "坕": [ + "ㄐㄧㄥ1" + ], + "坖": [ + "ㄐㄧ4" + ], + "块": [ + "ㄎㄨㄞ4", + "ㄩㄝ2" + ], + "坘": [ + "ㄉㄧ3" + ], + "坙": [ + "ㄐㄧㄥ1" + ], + "坚": [ + "ㄐㄧㄢ1" + ], + "坛": [ + "ㄊㄢ2" + ], + "坜": [ + "ㄌㄧ4" + ], + "坝": [ + "ㄅㄚ4" + ], + "坞": [ + "ㄨ4" + ], + "坟": [ + "ㄈㄣ2" + ], + "坠": [ + "ㄓㄨㄟ4" + ], + "坡": [ + "ㄆㄛ1" + ], + "坢": [ + "ㄅㄢ4", + "ㄆㄢ3", + "ㄆㄢ4" + ], + "坣": [ + "ㄊㄤ2" + ], + "坤": [ + "ㄎㄨㄣ1" + ], + "坥": [ + "ㄑㄩ1", + "ㄐㄩ4" + ], + "坦": [ + "ㄊㄢ3" + ], + "坧": [ + "ㄓ1" + ], + "坨": [ + "ㄊㄨㄛ2", + "ㄧ2" + ], + "坩": [ + "ㄍㄢ1" + ], + "坪": [ + "ㄆㄧㄥ2" + ], + "坫": [ + "ㄉㄧㄢ4", + "ㄓㄣ1" + ], + "坬": [ + "ㄍㄨㄚ4", + "ㄨㄚ1" + ], + "坭": [ + "ㄋㄧ2" + ], + "坮": [ + "ㄊㄞ2" + ], + "坯": [ + "ㄆㄧ1", + "ㄏㄨㄞ4" + ], + "坰": [ + "ㄐㄩㄥ1" + ], + "坱": [ + "ㄧㄤ3" + ], + "坲": [ + "ㄈㄛ2" + ], + "坳": [ + "ㄠ4", + "ㄠ1", + "ㄧㄡ3" + ], + "坴": [ + "ㄌㄨ4" + ], + "坵": [ + "ㄑㄧㄡ1" + ], + "坶": [ + "ㄇㄨ3", + "ㄇㄨ4", + "ㄇㄟ2" + ], + "坷": [ + "ㄎㄜ3", + "ㄎㄜ1", + "ㄐㄩㄥ1" + ], + "坸": [ + "ㄍㄡ4" + ], + "坹": [ + "ㄒㄩㄝ4" + ], + "坺": [ + "ㄅㄚ2" + ], + "坻": [ + "ㄔ2", + "ㄉㄧ3" + ], + "坼": [ + "ㄔㄜ4" + ], + "坽": [ + "ㄌㄧㄥ2" + ], + "坾": [ + "ㄓㄨ4" + ], + "坿": [ + "ㄈㄨ4", + "ㄈㄨ2" + ], + "垀": [ + "ㄏㄨ1" + ], + "垁": [ + "ㄓ4" + ], + "垂": [ + "ㄔㄨㄟ2", + "ㄓㄨㄟ4" + ], + "垃": [ + "ㄌㄚ1", + "ㄌㄚ5" + ], + "垄": [ + "ㄌㄨㄥ3" + ], + "垅": [ + "ㄌㄨㄥ3" + ], + "垆": [ + "ㄌㄨ2" + ], + "垇": [ + "ㄠ4" + ], + "垈": [ + "ㄉㄞ4" + ], + "垉": [ + "ㄆㄠ2" + ], + "垊": [ + "ㄇㄧㄣ5" + ], + "型": [ + "ㄒㄧㄥ2" + ], + "垌": [ + "ㄉㄨㄥ4", + "ㄊㄨㄥ2", + "ㄊㄨㄥ3" + ], + "垍": [ + "ㄐㄧ4", + "ㄐㄧ1" + ], + "垎": [ + "ㄏㄜ4" + ], + "垏": [ + "ㄌㄩ4" + ], + "垐": [ + "ㄘ2" + ], + "垑": [ + "ㄔ3" + ], + "垒": [ + "ㄌㄟ3" + ], + "垓": [ + "ㄍㄞ1" + ], + "垔": [ + "ㄧㄣ1" + ], + "垕": [ + "ㄏㄡ4" + ], + "垖": [ + "ㄉㄨㄟ1" + ], + "垗": [ + "ㄓㄠ4" + ], + "垘": [ + "ㄈㄨ2" + ], + "垙": [ + "ㄍㄨㄤ1" + ], + "垚": [ + "ㄧㄠ2" + ], + "垛": [ + "ㄉㄨㄛ3", + "ㄉㄨㄛ4" + ], + "垜": [ + "ㄉㄨㄛ3", + "ㄉㄨㄛ4" + ], + "垝": [ + "ㄍㄨㄟ3" + ], + "垞": [ + "ㄔㄚ2" + ], + "垟": [ + "ㄧㄤ2" + ], + "垠": [ + "ㄧㄣ2", + "ㄎㄣ4" + ], + "垡": [ + "ㄈㄚ2" + ], + "垢": [ + "ㄍㄡ4" + ], + "垣": [ + "ㄩㄢ2" + ], + "垤": [ + "ㄉㄧㄝ2" + ], + "垥": [ + "ㄒㄧㄝ2" + ], + "垦": [ + "ㄎㄣ3", + "ㄧㄣ2" + ], + "垧": [ + "ㄕㄤ3", + "ㄐㄩㄥ1" + ], + "垨": [ + "ㄕㄡ3" + ], + "垩": [ + "ㄜ4", + "ㄕㄥ4" + ], + "垪": [ + "ㄅㄧㄥ4" + ], + "垫": [ + "ㄉㄧㄢ4" + ], + "垬": [ + "ㄏㄨㄥ2" + ], + "垭": [ + "ㄧㄚ1" + ], + "垮": [ + "ㄎㄨㄚ3" + ], + "垯": [ + "ㄉㄚ5" + ], + "垰": [ + "ㄎㄚ3" + ], + "垱": [ + "ㄉㄤ4" + ], + "垲": [ + "ㄎㄞ3" + ], + "垳": [ + "ㄏㄤ2" + ], + "垴": [ + "ㄋㄠ3" + ], + "垵": [ + "ㄢ3", + "ㄢ1" + ], + "垶": [ + "ㄒㄧㄥ1" + ], + "垷": [ + "ㄒㄧㄢ4" + ], + "垸": [ + "ㄩㄢ4", + "ㄏㄨㄢ2" + ], + "垹": [ + "ㄅㄤ1" + ], + "垺": [ + "ㄈㄨ1", + "ㄈㄨ2", + "ㄈㄡ2", + "ㄆㄟ1", + "ㄆㄡ2" + ], + "垻": [ + "ㄅㄚ4", + "ㄅㄟ4" + ], + "垼": [ + "ㄧ4" + ], + "垽": [ + "ㄧㄣ4" + ], + "垾": [ + "ㄏㄢ4", + "ㄢ4" + ], + "垿": [ + "ㄒㄩ4" + ], + "埀": [ + "ㄔㄨㄟ2" + ], + "埁": [ + "ㄑㄧㄣ2" + ], + "埂": [ + "ㄍㄥ3" + ], + "埃": [ + "ㄞ1", + "ㄓ4" + ], + "埄": [ + "ㄅㄥ3", + "ㄈㄥ1" + ], + "埅": [ + "ㄈㄤ2", + "ㄈㄤ1", + "ㄉㄧ4" + ], + "埆": [ + "ㄑㄩㄝ4", + "ㄐㄩㄝ2" + ], + "埇": [ + "ㄩㄥ3" + ], + "埈": [ + "ㄐㄩㄣ4" + ], + "埉": [ + "ㄐㄧㄚ1", + "ㄒㄧㄚ2" + ], + "埊": [ + "ㄉㄧ4" + ], + "埋": [ + "ㄇㄞ2", + "ㄇㄢ2" + ], + "埌": [ + "ㄌㄤ4" + ], + "埍": [ + "ㄐㄩㄢ3" + ], + "城": [ + "ㄔㄥ2" + ], + "埏": [ + "ㄕㄢ1", + "ㄧㄢ2" + ], + "埐": [ + "ㄐㄧㄣ1", + "ㄑㄧㄣ2" + ], + "埑": [ + "ㄓㄜ2" + ], + "埒": [ + "ㄌㄧㄝ4" + ], + "埓": [ + "ㄌㄧㄝ4" + ], + "埔": [ + "ㄆㄨ3", + "ㄅㄨ4" + ], + "埕": [ + "ㄔㄥ2" + ], + "埖": [ + "ㄏㄨㄚ1" + ], + "埗": [ + "ㄅㄨ4" + ], + "埘": [ + "ㄕ2" + ], + "埙": [ + "ㄒㄩㄣ1" + ], + "埚": [ + "ㄍㄨㄛ1" + ], + "埛": [ + "ㄐㄩㄥ1" + ], + "埜": [ + "ㄧㄝ3" + ], + "埝": [ + "ㄋㄧㄢ4", + "ㄉㄧㄢ4", + "ㄋㄧㄝ4" + ], + "埞": [ + "ㄉㄧ1" + ], + "域": [ + "ㄩ4" + ], + "埠": [ + "ㄅㄨ4" + ], + "埡": [ + "ㄧㄚ1", + "ㄜ4", + "ㄨ3", + "ㄧㄚ4" + ], + "埢": [ + "ㄑㄩㄢ2", + "ㄐㄩㄢ3" + ], + "埣": [ + "ㄙㄨㄟ4", + "ㄙㄨ4" + ], + "埤": [ + "ㄆㄧ2", + "ㄆㄧ4", + "ㄅㄧ4", + "ㄅㄟ1" + ], + "埥": [ + "ㄑㄧㄥ1", + "ㄓㄥ1" + ], + "埦": [ + "ㄨㄢ3", + "ㄨㄢ1" + ], + "埧": [ + "ㄐㄩ4" + ], + "埨": [ + "ㄌㄨㄣ3", + "ㄌㄨㄣ4" + ], + "埩": [ + "ㄓㄥ1", + "ㄔㄥ2" + ], + "埪": [ + "ㄎㄨㄥ1" + ], + "埫": [ + "ㄔㄨㄥ3", + "ㄊㄤ3", + "ㄕㄤ3" + ], + "埬": [ + "ㄉㄨㄥ1" + ], + "埭": [ + "ㄉㄞ4" + ], + "埮": [ + "ㄊㄢ4", + "ㄊㄢ2" + ], + "埯": [ + "ㄢ3", + "ㄧㄢ3" + ], + "埰": [ + "ㄘㄞ4", + "ㄘㄞ3" + ], + "埱": [ + "ㄔㄨ4", + "ㄊㄡ4" + ], + "埲": [ + "ㄅㄥ3", + "ㄅㄤ4" + ], + "埳": [ + "ㄎㄢ3", + "ㄒㄧㄢ4" + ], + "埴": [ + "ㄓ2" + ], + "埵": [ + "ㄉㄨㄛ3" + ], + "埶": [ + "ㄧ4", + "ㄕ4" + ], + "執": [ + "ㄓ2" + ], + "埸": [ + "ㄧ4" + ], + "培": [ + "ㄆㄟ2", + "ㄆㄡ3", + "ㄆㄧ1" + ], + "基": [ + "ㄐㄧ1" + ], + "埻": [ + "ㄓㄨㄣ3", + "ㄉㄨㄟ1", + "ㄍㄨㄛ2" + ], + "埼": [ + "ㄑㄧ2" + ], + "埽": [ + "ㄙㄠ4", + "ㄙㄠ3" + ], + "埾": [ + "ㄐㄩ4" + ], + "埿": [ + "ㄋㄧ2", + "ㄋㄧ4", + "ㄅㄢ4" + ], + "堀": [ + "ㄎㄨ1" + ], + "堁": [ + "ㄎㄜ4" + ], + "堂": [ + "ㄊㄤ2" + ], + "堃": [ + "ㄎㄨㄣ1" + ], + "堄": [ + "ㄋㄧ4" + ], + "堅": [ + "ㄐㄧㄢ1" + ], + "堆": [ + "ㄉㄨㄟ1", + "ㄗㄨㄟ1" + ], + "堇": [ + "ㄐㄧㄣ3", + "ㄑㄧㄣ2", + "ㄐㄧㄣ4" + ], + "堈": [ + "ㄍㄤ1" + ], + "堉": [ + "ㄩ4" + ], + "堊": [ + "ㄜ4", + "ㄧㄚ4" + ], + "堋": [ + "ㄆㄥ2", + "ㄅㄥ4", + "ㄆㄥ1", + "ㄆㄧㄥ1" + ], + "堌": [ + "ㄍㄨ4" + ], + "堍": [ + "ㄊㄨ4" + ], + "堎": [ + "ㄌㄥ4" + ], + "堏": [ + "ㄈㄤ5" + ], + "堐": [ + "ㄧㄚ2" + ], + "堑": [ + "ㄑㄧㄢ4" + ], + "堒": [ + "ㄎㄨㄣ1" + ], + "堓": [ + "ㄢ4" + ], + "堔": [ + "ㄕㄣ1" + ], + "堕": [ + "ㄉㄨㄛ4", + "ㄏㄨㄟ1" + ], + "堖": [ + "ㄋㄠ3" + ], + "堗": [ + "ㄊㄨ1" + ], + "堘": [ + "ㄔㄥ2" + ], + "堙": [ + "ㄧㄣ1" + ], + "堚": [ + "ㄏㄨㄣ2" + ], + "堛": [ + "ㄅㄧ4" + ], + "堜": [ + "ㄌㄧㄢ4" + ], + "堝": [ + "ㄍㄨㄛ1", + "ㄨㄛ1" + ], + "堞": [ + "ㄉㄧㄝ2" + ], + "堟": [ + "ㄓㄨㄢ4" + ], + "堠": [ + "ㄏㄡ4" + ], + "堡": [ + "ㄅㄠ3", + "ㄅㄨ3", + "ㄆㄨ4" + ], + "堢": [ + "ㄅㄠ3" + ], + "堣": [ + "ㄩ2" + ], + "堤": [ + "ㄉㄧ1", + "ㄊㄧ2", + "ㄉㄧ3", + "ㄕ2", + "ㄨㄟ2" + ], + "堥": [ + "ㄇㄠ2", + "ㄇㄡ2", + "ㄨ3" + ], + "堦": [ + "ㄐㄧㄝ1" + ], + "堧": [ + "ㄖㄨㄢ2", + "ㄋㄨㄛ4" + ], + "堨": [ + "ㄧㄝ4", + "ㄜ4", + "ㄞ4" + ], + "堩": [ + "ㄍㄥ4" + ], + "堪": [ + "ㄎㄢ1", + "ㄔㄣ3" + ], + "堫": [ + "ㄗㄨㄥ1" + ], + "堬": [ + "ㄩ2" + ], + "堭": [ + "ㄏㄨㄤ2" + ], + "堮": [ + "ㄜ4" + ], + "堯": [ + "ㄧㄠ2" + ], + "堰": [ + "ㄧㄢ4" + ], + "報": [ + "ㄅㄠ4", + "ㄈㄨ4" + ], + "堲": [ + "ㄘ2", + "ㄐㄧ2" + ], + "堳": [ + "ㄇㄟ2" + ], + "場": [ + "ㄔㄤ3", + "ㄔㄤ2", + "ㄕㄤ1", + "ㄉㄤ4" + ], + "堵": [ + "ㄉㄨ3", + "ㄓㄜ3", + "ㄉㄨ1" + ], + "堶": [ + "ㄊㄨㄛ2" + ], + "堷": [ + "ㄧㄣ4", + "ㄆㄡ3" + ], + "堸": [ + "ㄈㄥ2" + ], + "堹": [ + "ㄓㄨㄥ4" + ], + "堺": [ + "ㄐㄧㄝ4" + ], + "堻": [ + "ㄐㄧㄣ1" + ], + "堼": [ + "ㄏㄥ4" + ], + "堽": [ + "ㄍㄤ1" + ], + "堾": [ + "ㄔㄨㄣ1" + ], + "堿": [ + "ㄐㄧㄢ3", + "ㄎㄢ3", + "ㄒㄧㄢ2" + ], + "塀": [ + "ㄆㄧㄥ2" + ], + "塁": [ + "ㄌㄟ3" + ], + "塂": [ + "ㄒㄧㄤ4", + "ㄐㄧㄤ3" + ], + "塃": [ + "ㄏㄨㄤ1" + ], + "塄": [ + "ㄌㄥ2" + ], + "塅": [ + "ㄉㄨㄢ4" + ], + "塆": [ + "ㄨㄢ1" + ], + "塇": [ + "ㄒㄩㄢ1" + ], + "塈": [ + "ㄐㄧ4", + "ㄒㄧ4" + ], + "塉": [ + "ㄐㄧ2" + ], + "塊": [ + "ㄎㄨㄞ4" + ], + "塋": [ + "ㄧㄥ2" + ], + "塌": [ + "ㄊㄚ1", + "ㄉㄚ1" + ], + "塍": [ + "ㄔㄥ2" + ], + "塎": [ + "ㄩㄥ3" + ], + "塏": [ + "ㄎㄞ3" + ], + "塐": [ + "ㄙㄨ4" + ], + "塑": [ + "ㄙㄨ4" + ], + "塒": [ + "ㄕ2" + ], + "塓": [ + "ㄇㄧ4" + ], + "塔": [ + "ㄊㄚ3", + "ㄉㄚ1", + "ㄉㄚ5" + ], + "塕": [ + "ㄨㄥ3" + ], + "塖": [ + "ㄔㄥ2" + ], + "塗": [ + "ㄊㄨ2", + "ㄉㄨ4" + ], + "塘": [ + "ㄊㄤ2" + ], + "塙": [ + "ㄑㄩㄝ4", + "ㄑㄧㄠ1" + ], + "塚": [ + "ㄓㄨㄥ3" + ], + "塛": [ + "ㄌㄧ4" + ], + "塜": [ + "ㄓㄨㄥ3", + "ㄆㄥ2" + ], + "塝": [ + "ㄅㄤ4" + ], + "塞": [ + "ㄙㄞ1", + "ㄙㄞ4", + "ㄙㄜ4" + ], + "塟": [ + "ㄗㄤ4" + ], + "塠": [ + "ㄉㄨㄟ1" + ], + "塡": [ + "ㄊㄧㄢ2" + ], + "塢": [ + "ㄨ4", + "ㄨ3" + ], + "塣": [ + "ㄓㄥ4" + ], + "塤": [ + "ㄒㄩㄣ1" + ], + "塥": [ + "ㄍㄜ2" + ], + "塦": [ + "ㄓㄣ4" + ], + "塧": [ + "ㄞ4" + ], + "塨": [ + "ㄍㄨㄥ1" + ], + "塩": [ + "ㄧㄢ2" + ], + "塪": [ + "ㄎㄢ3" + ], + "填": [ + "ㄊㄧㄢ2", + "ㄊㄧㄢ3", + "ㄔㄣ2", + "ㄓㄣ4" + ], + "塬": [ + "ㄩㄢ2" + ], + "塭": [ + "ㄨㄣ1" + ], + "塮": [ + "ㄒㄧㄝ4" + ], + "塯": [ + "ㄌㄧㄡ4" + ], + "塰": [ + "ㄏㄞ3" + ], + "塱": [ + "ㄌㄤ3" + ], + "塲": [ + "ㄔㄤ2", + "ㄕㄤ1", + "ㄔㄤ3" + ], + "塳": [ + "ㄆㄥ2" + ], + "塴": [ + "ㄅㄥ4" + ], + "塵": [ + "ㄔㄣ2" + ], + "塶": [ + "ㄌㄨ4" + ], + "塷": [ + "ㄌㄨ3" + ], + "塸": [ + "ㄡ1" + ], + "塹": [ + "ㄑㄧㄢ4", + "ㄐㄧㄢ4" + ], + "塺": [ + "ㄇㄟ2" + ], + "塻": [ + "ㄇㄛ4" + ], + "塼": [ + "ㄓㄨㄢ1", + "ㄊㄨㄢ2" + ], + "塽": [ + "ㄕㄨㄤ3" + ], + "塾": [ + "ㄕㄨ2" + ], + "塿": [ + "ㄌㄡ3" + ], + "墀": [ + "ㄔ2" + ], + "墁": [ + "ㄇㄢ4" + ], + "墂": [ + "ㄅㄧㄠ1" + ], + "境": [ + "ㄐㄧㄥ4" + ], + "墄": [ + "ㄘㄜ4" + ], + "墅": [ + "ㄕㄨ4", + "ㄧㄝ3" + ], + "墆": [ + "ㄓ4", + "ㄉㄧ4" + ], + "墇": [ + "ㄓㄤ4" + ], + "墈": [ + "ㄎㄢ4" + ], + "墉": [ + "ㄩㄥ1" + ], + "墊": [ + "ㄉㄧㄢ4" + ], + "墋": [ + "ㄔㄣ3" + ], + "墌": [ + "ㄓ2", + "ㄓㄨㄛ2" + ], + "墍": [ + "ㄒㄧ4" + ], + "墎": [ + "ㄍㄨㄛ1" + ], + "墏": [ + "ㄑㄧㄤ3" + ], + "墐": [ + "ㄐㄧㄣ4", + "ㄑㄧㄣ2" + ], + "墑": [ + "ㄉㄧ4" + ], + "墒": [ + "ㄕㄤ1" + ], + "墓": [ + "ㄇㄨ4" + ], + "墔": [ + "ㄘㄨㄟ1" + ], + "墕": [ + "ㄧㄢ4", + "ㄧㄢ1" + ], + "墖": [ + "ㄊㄚ3" + ], + "増": [ + "ㄗㄥ1" + ], + "墘": [ + "ㄑㄧㄢ2" + ], + "墙": [ + "ㄑㄧㄤ2" + ], + "墚": [ + "ㄌㄧㄤ2" + ], + "墛": [ + "ㄨㄟ4" + ], + "墜": [ + "ㄓㄨㄟ4" + ], + "墝": [ + "ㄑㄧㄠ1", + "ㄑㄧㄠ4" + ], + "增": [ + "ㄗㄥ1", + "ㄗㄥ4", + "ㄘㄥ2" + ], + "墟": [ + "ㄒㄩ1" + ], + "墠": [ + "ㄕㄢ4", + "ㄔㄢ3" + ], + "墡": [ + "ㄕㄢ4" + ], + "墢": [ + "ㄅㄚ2", + "ㄈㄟ4" + ], + "墣": [ + "ㄆㄨ2" + ], + "墤": [ + "ㄎㄨㄞ4", + "ㄊㄨㄟ2" + ], + "墥": [ + "ㄉㄨㄥ3", + "ㄊㄨㄢ3" + ], + "墦": [ + "ㄈㄢ2", + "ㄈㄢ1" + ], + "墧": [ + "ㄑㄩㄝ4", + "ㄑㄧㄠ2" + ], + "墨": [ + "ㄇㄛ4", + "ㄇㄟ4" + ], + "墩": [ + "ㄉㄨㄣ1" + ], + "墪": [ + "ㄉㄨㄣ1" + ], + "墫": [ + "ㄗㄨㄣ1", + "ㄘㄨㄣ1" + ], + "墬": [ + "ㄉㄧ4" + ], + "墭": [ + "ㄕㄥ4" + ], + "墮": [ + "ㄉㄨㄛ4", + "ㄏㄨㄟ1", + "ㄏㄨㄟ4" + ], + "墯": [ + "ㄉㄨㄛ4" + ], + "墰": [ + "ㄊㄢ2" + ], + "墱": [ + "ㄉㄥ4", + "ㄉㄥ1" + ], + "墲": [ + "ㄇㄨ2", + "ㄨ2" + ], + "墳": [ + "ㄈㄣ2", + "ㄈㄣ4" + ], + "墴": [ + "ㄏㄨㄤ2" + ], + "墵": [ + "ㄊㄢ2" + ], + "墶": [ + "ㄉㄚ5" + ], + "墷": [ + "ㄧㄝ4" + ], + "墸": [ + "ㄓㄨ4" + ], + "墹": [ + "ㄐㄧㄢ4" + ], + "墺": [ + "ㄠ4" + ], + "墻": [ + "ㄑㄧㄤ2" + ], + "墼": [ + "ㄐㄧ1" + ], + "墽": [ + "ㄑㄧㄠ1", + "ㄑㄧㄠ4", + "ㄠ2" + ], + "墾": [ + "ㄎㄣ3" + ], + "墿": [ + "ㄧ4", + "ㄊㄨ2" + ], + "壀": [ + "ㄆㄧ2" + ], + "壁": [ + "ㄅㄧ4" + ], + "壂": [ + "ㄉㄧㄢ4" + ], + "壃": [ + "ㄐㄧㄤ1" + ], + "壄": [ + "ㄧㄝ3" + ], + "壅": [ + "ㄩㄥ1", + "ㄨㄥ4" + ], + "壆": [ + "ㄒㄩㄝ2", + "ㄐㄩㄝ2", + "ㄅㄛ2" + ], + "壇": [ + "ㄊㄢ2", + "ㄕㄢ4", + "ㄉㄢ4", + "ㄊㄢ3" + ], + "壈": [ + "ㄌㄢ3" + ], + "壉": [ + "ㄐㄩ4" + ], + "壊": [ + "ㄏㄨㄞ4" + ], + "壋": [ + "ㄉㄤ4" + ], + "壌": [ + "ㄖㄤ3" + ], + "壍": [ + "ㄑㄧㄢ4" + ], + "壎": [ + "ㄒㄩㄣ1", + "ㄒㄩㄣ4" + ], + "壏": [ + "ㄒㄧㄢ4", + "ㄌㄢ4" + ], + "壐": [ + "ㄒㄧ3" + ], + "壑": [ + "ㄏㄜ4", + "ㄏㄨㄛ4" + ], + "壒": [ + "ㄞ4" + ], + "壓": [ + "ㄧㄚ1", + "ㄧㄚ4" + ], + "壔": [ + "ㄉㄠ3" + ], + "壕": [ + "ㄏㄠ2" + ], + "壖": [ + "ㄖㄨㄢ2" + ], + "壗": [ + "ㄐㄧㄣ4" + ], + "壘": [ + "ㄌㄟ3", + "ㄌㄟ2", + "ㄌㄩ4" + ], + "壙": [ + "ㄎㄨㄤ4", + "ㄎㄨㄤ3" + ], + "壚": [ + "ㄌㄨ2" + ], + "壛": [ + "ㄧㄢ2" + ], + "壜": [ + "ㄊㄢ2" + ], + "壝": [ + "ㄨㄟ3" + ], + "壞": [ + "ㄏㄨㄞ4", + "ㄏㄨㄟ4", + "ㄏㄨㄞ2" + ], + "壟": [ + "ㄌㄨㄥ3" + ], + "壠": [ + "ㄌㄨㄥ3" + ], + "壡": [ + "ㄖㄨㄟ4" + ], + "壢": [ + "ㄌㄧ4" + ], + "壣": [ + "ㄌㄧㄣ2" + ], + "壤": [ + "ㄖㄤ3" + ], + "壥": [ + "ㄔㄢ2" + ], + "壦": [ + "ㄒㄩㄣ1" + ], + "壧": [ + "ㄧㄢ2" + ], + "壨": [ + "ㄌㄟ2" + ], + "壩": [ + "ㄅㄚ4" + ], + "壪": [ + "ㄨㄢ1" + ], + "士": [ + "ㄕ4" + ], + "壬": [ + "ㄖㄣ2" + ], + "壭": [ + "ㄙㄢ5" + ], + "壮": [ + "ㄓㄨㄤ4" + ], + "壯": [ + "ㄓㄨㄤ4", + "ㄓㄨㄤ1" + ], + "声": [ + "ㄕㄥ1", + "ㄑㄧㄥ4" + ], + "壱": [ + "ㄧ1" + ], + "売": [ + "ㄇㄞ4" + ], + "壳": [ + "ㄎㄜ2", + "ㄑㄧㄠ4" + ], + "壴": [ + "ㄓㄨ4" + ], + "壵": [ + "ㄓㄨㄤ4" + ], + "壶": [ + "ㄏㄨ2" + ], + "壷": [ + "ㄏㄨ2" + ], + "壸": [ + "ㄎㄨㄣ3" + ], + "壹": [ + "ㄧ1", + "ㄧㄣ1" + ], + "壺": [ + "ㄏㄨ2" + ], + "壻": [ + "ㄒㄩ4" + ], + "壼": [ + "ㄎㄨㄣ3" + ], + "壽": [ + "ㄕㄡ4" + ], + "壾": [ + "ㄇㄤ3" + ], + "壿": [ + "ㄗㄨㄣ1" + ], + "夀": [ + "ㄕㄡ4" + ], + "夁": [ + "ㄧ1" + ], + "夂": [ + "ㄓ3", + "ㄓㄨㄥ1" + ], + "夃": [ + "ㄍㄨ3", + "ㄧㄥ2" + ], + "处": [ + "ㄔㄨ4", + "ㄔㄨ3" + ], + "夅": [ + "ㄐㄧㄤ4" + ], + "夆": [ + "ㄈㄥ2", + "ㄆㄤ2" + ], + "备": [ + "ㄅㄟ4" + ], + "夈": [ + "ㄓㄞ1" + ], + "変": [ + "ㄅㄧㄢ4" + ], + "夊": [ + "ㄙㄨㄟ1" + ], + "夋": [ + "ㄑㄩㄣ1" + ], + "夌": [ + "ㄌㄧㄥ2" + ], + "复": [ + "ㄈㄨ4" + ], + "夎": [ + "ㄘㄨㄛ4" + ], + "夏": [ + "ㄒㄧㄚ4", + "ㄐㄧㄚ3" + ], + "夐": [ + "ㄒㄩㄥ4", + "ㄒㄩㄢ4" + ], + "夑": [ + "ㄒㄧㄝ4" + ], + "夒": [ + "ㄋㄠ2" + ], + "夓": [ + "ㄒㄧㄚ4" + ], + "夔": [ + "ㄎㄨㄟ2" + ], + "夕": [ + "ㄒㄧ1", + "ㄧ4" + ], + "外": [ + "ㄨㄞ4" + ], + "夗": [ + "ㄩㄢ4", + "ㄨㄢ3", + "ㄨㄢ1", + "ㄩㄢ1" + ], + "夘": [ + "ㄇㄠ3", + "ㄨㄢ1" + ], + "夙": [ + "ㄙㄨ4" + ], + "多": [ + "ㄉㄨㄛ1" + ], + "夛": [ + "ㄉㄨㄛ1" + ], + "夜": [ + "ㄧㄝ4" + ], + "夝": [ + "ㄑㄧㄥ2" + ], + "夞": [ + "ㄨㄞ4" + ], + "够": [ + "ㄍㄡ4" + ], + "夠": [ + "ㄍㄡ4" + ], + "夡": [ + "ㄑㄧ4" + ], + "夢": [ + "ㄇㄥ4", + "ㄇㄥ2" + ], + "夣": [ + "ㄇㄥ4" + ], + "夤": [ + "ㄧㄣ2" + ], + "夥": [ + "ㄏㄨㄛ3" + ], + "夦": [ + "ㄔㄣ3" + ], + "大": [ + "ㄉㄚ4", + "ㄉㄞ4", + "ㄊㄞ4" + ], + "夨": [ + "ㄗㄜ4" + ], + "天": [ + "ㄊㄧㄢ1" + ], + "太": [ + "ㄊㄞ4", + "ㄊㄚ1" + ], + "夫": [ + "ㄈㄨ1", + "ㄈㄨ2" + ], + "夬": [ + "ㄍㄨㄞ4", + "ㄐㄩㄝ2" + ], + "夭": [ + "ㄧㄠ1", + "ㄨㄛ4", + "ㄨㄞ1" + ], + "央": [ + "ㄧㄤ1", + "ㄧㄥ1" + ], + "夯": [ + "ㄏㄤ1", + "ㄅㄣ4" + ], + "夰": [ + "ㄍㄠ3" + ], + "失": [ + "ㄕ1", + "ㄧ4" + ], + "夲": [ + "ㄊㄠ1", + "ㄅㄣ3" + ], + "夳": [ + "ㄊㄞ4" + ], + "头": [ + "ㄊㄡ2", + "ㄊㄡ5" + ], + "夵": [ + "ㄧㄢ3", + "ㄊㄠ1" + ], + "夶": [ + "ㄅㄧ3" + ], + "夷": [ + "ㄧ2" + ], + "夸": [ + "ㄎㄨㄚ1", + "ㄎㄨㄚ4", + "ㄎㄨㄚ3" + ], + "夹": [ + "ㄐㄧㄚ1", + "ㄍㄚ1", + "ㄐㄧㄚ2" + ], + "夺": [ + "ㄉㄨㄛ2" + ], + "夻": [ + "ㄏㄨㄚ4" + ], + "夼": [ + "ㄎㄨㄤ3" + ], + "夽": [ + "ㄩㄣ3" + ], + "夾": [ + "ㄐㄧㄚ1", + "ㄐㄧㄚ2", + "ㄒㄧㄝ2", + "ㄒㄧㄚ2", + "ㄍㄚ1" + ], + "夿": [ + "ㄅㄚ1" + ], + "奀": [ + "ㄣ1" + ], + "奁": [ + "ㄌㄧㄢ2" + ], + "奂": [ + "ㄏㄨㄢ4" + ], + "奃": [ + "ㄉㄧ1", + "ㄊㄧ4" + ], + "奄": [ + "ㄧㄢ3", + "ㄧㄢ1" + ], + "奅": [ + "ㄆㄠ4" + ], + "奆": [ + "ㄐㄩㄢ4" + ], + "奇": [ + "ㄑㄧ2", + "ㄐㄧ1", + "ㄞ3", + "ㄧ3" + ], + "奈": [ + "ㄋㄞ4" + ], + "奉": [ + "ㄈㄥ4" + ], + "奊": [ + "ㄒㄧㄝ2", + "ㄌㄧㄝ4", + "ㄒㄧ3", + "ㄆㄧ2" + ], + "奋": [ + "ㄈㄣ4", + "ㄎㄤ3" + ], + "奌": [ + "ㄉㄧㄢ3" + ], + "奍": [ + "ㄑㄩㄢ1" + ], + "奎": [ + "ㄎㄨㄟ2", + "ㄎㄨㄟ3" + ], + "奏": [ + "ㄗㄡ4", + "ㄘㄡ4" + ], + "奐": [ + "ㄏㄨㄢ4" + ], + "契": [ + "ㄑㄧ4", + "ㄒㄧㄝ4", + "ㄑㄧㄝ4", + "ㄐㄧㄝ2" + ], + "奒": [ + "ㄎㄞ1" + ], + "奓": [ + "ㄓㄚ1", + "ㄕㄜ1", + "ㄔ3", + "ㄓㄚ4" + ], + "奔": [ + "ㄅㄣ1", + "ㄅㄣ4", + "ㄈㄣ4" + ], + "奕": [ + "ㄧ4" + ], + "奖": [ + "ㄐㄧㄤ3" + ], + "套": [ + "ㄊㄠ4", + "ㄊㄠ3" + ], + "奘": [ + "ㄗㄤ4", + "ㄓㄨㄤ3" + ], + "奙": [ + "ㄅㄣ3" + ], + "奚": [ + "ㄒㄧ1" + ], + "奛": [ + "ㄏㄨㄤ3" + ], + "奜": [ + "ㄈㄟ3", + "ㄈㄟ1" + ], + "奝": [ + "ㄉㄧㄠ1" + ], + "奞": [ + "ㄒㄩㄣ4" + ], + "奟": [ + "ㄅㄥ1", + "ㄎㄥ1" + ], + "奠": [ + "ㄉㄧㄢ4", + "ㄊㄧㄥ2", + "ㄉㄧㄥ4", + "ㄓㄥ4", + "ㄗㄨㄣ1" + ], + "奡": [ + "ㄠ4", + "ㄒㄧㄠ4" + ], + "奢": [ + "ㄕㄜ1" + ], + "奣": [ + "ㄨㄥ3" + ], + "奤": [ + "ㄏㄚ3", + "ㄆㄛ4", + "ㄊㄞ3" + ], + "奥": [ + "ㄠ4", + "ㄩ4", + "ㄧㄡ1" + ], + "奦": [ + "ㄨ4" + ], + "奧": [ + "ㄠ4" + ], + "奨": [ + "ㄐㄧㄤ3" + ], + "奩": [ + "ㄌㄧㄢ2" + ], + "奪": [ + "ㄉㄨㄛ2", + "ㄉㄨㄟ4" + ], + "奫": [ + "ㄩㄣ1" + ], + "奬": [ + "ㄐㄧㄤ3" + ], + "奭": [ + "ㄕ4" + ], + "奮": [ + "ㄈㄣ4" + ], + "奯": [ + "ㄏㄨㄛ4" + ], + "奰": [ + "ㄅㄧ4" + ], + "奱": [ + "ㄌㄨㄢ2" + ], + "奲": [ + "ㄉㄨㄛ3", + "ㄔㄜ3" + ], + "女": [ + "ㄋㄩ3", + "ㄋㄩ4", + "ㄖㄨ3" + ], + "奴": [ + "ㄋㄨ2" + ], + "奵": [ + "ㄉㄧㄥ3", + "ㄉㄧㄥ1", + "ㄊㄧㄢ3" + ], + "奶": [ + "ㄋㄞ3" + ], + "奷": [ + "ㄑㄧㄢ1" + ], + "奸": [ + "ㄐㄧㄢ1", + "ㄍㄢ1" + ], + "她": [ + "ㄊㄚ1", + "ㄐㄧㄝ3", + "ㄔ2" + ], + "奺": [ + "ㄐㄧㄡ3" + ], + "奻": [ + "ㄋㄨㄢ2" + ], + "奼": [ + "ㄔㄚ4" + ], + "好": [ + "ㄏㄠ3", + "ㄏㄠ4" + ], + "奾": [ + "ㄒㄧㄢ1" + ], + "奿": [ + "ㄈㄢ4" + ], + "妀": [ + "ㄐㄧ3" + ], + "妁": [ + "ㄕㄨㄛ4", + "ㄩㄝ1" + ], + "如": [ + "ㄖㄨ2" + ], + "妃": [ + "ㄈㄟ1", + "ㄆㄟ4" + ], + "妄": [ + "ㄨㄤ4", + "ㄨㄤ2" + ], + "妅": [ + "ㄏㄨㄥ2" + ], + "妆": [ + "ㄓㄨㄤ1" + ], + "妇": [ + "ㄈㄨ4" + ], + "妈": [ + "ㄇㄚ1" + ], + "妉": [ + "ㄉㄢ1" + ], + "妊": [ + "ㄖㄣ4", + "ㄖㄣ2" + ], + "妋": [ + "ㄈㄨ1", + "ㄧㄡ1" + ], + "妌": [ + "ㄐㄧㄥ4" + ], + "妍": [ + "ㄧㄢ2" + ], + "妎": [ + "ㄏㄞ4", + "ㄐㄧㄝ4" + ], + "妏": [ + "ㄨㄣ4" + ], + "妐": [ + "ㄓㄨㄥ1" + ], + "妑": [ + "ㄆㄚ1" + ], + "妒": [ + "ㄉㄨ4" + ], + "妓": [ + "ㄐㄧ4", + "ㄐㄧ1" + ], + "妔": [ + "ㄎㄥ1", + "ㄏㄤ2" + ], + "妕": [ + "ㄓㄨㄥ4" + ], + "妖": [ + "ㄧㄠ1", + "ㄐㄧㄠ3" + ], + "妗": [ + "ㄐㄧㄣ4", + "ㄒㄧㄢ1" + ], + "妘": [ + "ㄩㄣ2" + ], + "妙": [ + "ㄇㄧㄠ4", + "ㄇㄧㄠ3" + ], + "妚": [ + "ㄈㄡ3", + "ㄆㄟ1", + "ㄆㄧ1" + ], + "妛": [ + "ㄔ1" + ], + "妜": [ + "ㄩㄝ4", + "ㄐㄩㄝ2" + ], + "妝": [ + "ㄓㄨㄤ1" + ], + "妞": [ + "ㄋㄧㄡ1", + "ㄏㄠ4" + ], + "妟": [ + "ㄧㄢ4" + ], + "妠": [ + "ㄋㄚ4", + "ㄋㄢ4" + ], + "妡": [ + "ㄒㄧㄣ1" + ], + "妢": [ + "ㄈㄣ2" + ], + "妣": [ + "ㄅㄧ3" + ], + "妤": [ + "ㄩ2" + ], + "妥": [ + "ㄊㄨㄛ3" + ], + "妦": [ + "ㄈㄥ1" + ], + "妧": [ + "ㄨㄢ4", + "ㄩㄢ2" + ], + "妨": [ + "ㄈㄤ2", + "ㄈㄤ1" + ], + "妩": [ + "ㄨ3" + ], + "妪": [ + "ㄩ4" + ], + "妫": [ + "ㄍㄨㄟ1" + ], + "妬": [ + "ㄉㄨ4" + ], + "妭": [ + "ㄅㄚ2", + "ㄅㄛ1" + ], + "妮": [ + "ㄋㄧ1", + "ㄋㄧ2" + ], + "妯": [ + "ㄓㄡ2", + "ㄔㄡ1" + ], + "妰": [ + "ㄓㄨㄛ2" + ], + "妱": [ + "ㄓㄠ1" + ], + "妲": [ + "ㄉㄚ2" + ], + "妳": [ + "ㄋㄧ3", + "ㄋㄞ3" + ], + "妴": [ + "ㄩㄢ4" + ], + "妵": [ + "ㄊㄡ3" + ], + "妶": [ + "ㄒㄧㄢ2", + "ㄒㄩㄢ2", + "ㄒㄩ4" + ], + "妷": [ + "ㄓ2", + "ㄧ4" + ], + "妸": [ + "ㄜ1", + "ㄜ3" + ], + "妹": [ + "ㄇㄟ4" + ], + "妺": [ + "ㄇㄛ4" + ], + "妻": [ + "ㄑㄧ1", + "ㄑㄧ4" + ], + "妼": [ + "ㄅㄧ4" + ], + "妽": [ + "ㄕㄣ1" + ], + "妾": [ + "ㄑㄧㄝ4" + ], + "妿": [ + "ㄜ1" + ], + "姀": [ + "ㄏㄜ2" + ], + "姁": [ + "ㄒㄩ3", + "ㄒㄩ1" + ], + "姂": [ + "ㄈㄚ2" + ], + "姃": [ + "ㄓㄥ1" + ], + "姄": [ + "ㄇㄧㄣ2" + ], + "姅": [ + "ㄅㄢ4" + ], + "姆": [ + "ㄇㄨ3" + ], + "姇": [ + "ㄈㄨ1", + "ㄈㄨ2" + ], + "姈": [ + "ㄌㄧㄥ2" + ], + "姉": [ + "ㄗ3" + ], + "姊": [ + "ㄗ3" + ], + "始": [ + "ㄕ3" + ], + "姌": [ + "ㄖㄢ3" + ], + "姍": [ + "ㄕㄢ1", + "ㄒㄧㄢ1", + "ㄆㄢ1" + ], + "姎": [ + "ㄧㄤ1" + ], + "姏": [ + "ㄇㄢ2" + ], + "姐": [ + "ㄐㄧㄝ3", + "ㄐㄩ4", + "ㄒㄩ4", + "ㄗㄨ1" + ], + "姑": [ + "ㄍㄨ1" + ], + "姒": [ + "ㄙ4" + ], + "姓": [ + "ㄒㄧㄥ4", + "ㄕㄥ1" + ], + "委": [ + "ㄨㄟ3", + "ㄨㄟ1", + "ㄨㄟ4" + ], + "姕": [ + "ㄗ1", + "ㄘ3", + "ㄘ1" + ], + "姖": [ + "ㄐㄩ4" + ], + "姗": [ + "ㄕㄢ1" + ], + "姘": [ + "ㄆㄧㄣ1", + "ㄆㄧㄣ2" + ], + "姙": [ + "ㄖㄣ4" + ], + "姚": [ + "ㄧㄠ2", + "ㄊㄧㄠ4", + "ㄊㄠ2", + "ㄧㄠ4" + ], + "姛": [ + "ㄉㄨㄥ4" + ], + "姜": [ + "ㄐㄧㄤ1" + ], + "姝": [ + "ㄕㄨ1" + ], + "姞": [ + "ㄐㄧ2" + ], + "姟": [ + "ㄍㄞ1" + ], + "姠": [ + "ㄒㄧㄤ4" + ], + "姡": [ + "ㄏㄨㄚ2", + "ㄏㄨㄛ2" + ], + "姢": [ + "ㄐㄩㄢ1" + ], + "姣": [ + "ㄐㄧㄠ1", + "ㄐㄧㄠ3", + "ㄒㄧㄠ2" + ], + "姤": [ + "ㄍㄡ4" + ], + "姥": [ + "ㄌㄠ3", + "ㄇㄨ3" + ], + "姦": [ + "ㄐㄧㄢ1" + ], + "姧": [ + "ㄐㄧㄢ1" + ], + "姨": [ + "ㄧ2" + ], + "姩": [ + "ㄋㄧㄢ4", + "ㄋㄧㄢ2" + ], + "姪": [ + "ㄓ2" + ], + "姫": [ + "ㄐㄧ1", + "ㄓㄣ3" + ], + "姬": [ + "ㄐㄧ1", + "ㄧ2" + ], + "姭": [ + "ㄒㄧㄢ4" + ], + "姮": [ + "ㄏㄥ2" + ], + "姯": [ + "ㄍㄨㄤ1" + ], + "姰": [ + "ㄐㄩㄣ1", + "ㄒㄩㄣ1", + "ㄒㄩㄢ4", + "ㄒㄧㄣ1" + ], + "姱": [ + "ㄎㄨㄚ1", + "ㄏㄨ4" + ], + "姲": [ + "ㄧㄢ4" + ], + "姳": [ + "ㄇㄧㄥ3" + ], + "姴": [ + "ㄌㄧㄝ4" + ], + "姵": [ + "ㄆㄟ4" + ], + "姶": [ + "ㄜ4", + "ㄧㄚ4" + ], + "姷": [ + "ㄧㄡ4" + ], + "姸": [ + "ㄧㄢ2" + ], + "姹": [ + "ㄔㄚ4" + ], + "姺": [ + "ㄕㄣ1", + "ㄒㄧㄢ1" + ], + "姻": [ + "ㄧㄣ1" + ], + "姼": [ + "ㄕ2", + "ㄊㄧ2", + "ㄐㄧ4" + ], + "姽": [ + "ㄍㄨㄟ3", + "ㄨㄚ2" + ], + "姾": [ + "ㄑㄩㄢ2" + ], + "姿": [ + "ㄗ1", + "ㄗ4" + ], + "娀": [ + "ㄙㄨㄥ1" + ], + "威": [ + "ㄨㄟ1" + ], + "娂": [ + "ㄏㄨㄥ2" + ], + "娃": [ + "ㄨㄚ2", + "ㄨㄚ1", + "ㄍㄨㄟ4" + ], + "娄": [ + "ㄌㄡ2" + ], + "娅": [ + "ㄧㄚ4" + ], + "娆": [ + "ㄖㄠ2", + "ㄖㄠ3" + ], + "娇": [ + "ㄐㄧㄠ1" + ], + "娈": [ + "ㄌㄨㄢ2" + ], + "娉": [ + "ㄆㄧㄥ1", + "ㄆㄧㄣ4" + ], + "娊": [ + "ㄒㄧㄢ4", + "ㄉㄢ1" + ], + "娋": [ + "ㄕㄠ4", + "ㄕㄠ1" + ], + "娌": [ + "ㄌㄧ3" + ], + "娍": [ + "ㄔㄥ2", + "ㄕㄥ4" + ], + "娎": [ + "ㄒㄧㄝ4" + ], + "娏": [ + "ㄇㄤ2" + ], + "娐": [ + "ㄈㄨ1" + ], + "娑": [ + "ㄙㄨㄛ1", + "ㄙㄨㄛ3", + "ㄙㄨㄛ4" + ], + "娒": [ + "ㄇㄟ2", + "ㄇㄨ3", + "ㄨ3" + ], + "娓": [ + "ㄨㄟ3" + ], + "娔": [ + "ㄎㄜ4" + ], + "娕": [ + "ㄔㄨㄛ4", + "ㄘㄨ4", + "ㄌㄞ4" + ], + "娖": [ + "ㄔㄨㄛ4", + "ㄘㄨ4" + ], + "娗": [ + "ㄊㄧㄥ3", + "ㄊㄧㄢ3" + ], + "娘": [ + "ㄋㄧㄤ2" + ], + "娙": [ + "ㄒㄧㄥ2" + ], + "娚": [ + "ㄋㄢ2" + ], + "娛": [ + "ㄩ2" + ], + "娜": [ + "ㄋㄚ4", + "ㄋㄨㄛ2" + ], + "娝": [ + "ㄆㄡ1", + "ㄅㄧ3" + ], + "娞": [ + "ㄋㄟ3", + "ㄙㄨㄟ1" + ], + "娟": [ + "ㄐㄩㄢ1" + ], + "娠": [ + "ㄕㄣ1" + ], + "娡": [ + "ㄓ4" + ], + "娢": [ + "ㄏㄢ2" + ], + "娣": [ + "ㄉㄧ4" + ], + "娤": [ + "ㄓㄨㄤ1" + ], + "娥": [ + "ㄜ2" + ], + "娦": [ + "ㄆㄧㄣ2" + ], + "娧": [ + "ㄊㄨㄟ4" + ], + "娨": [ + "ㄒㄧㄢ4" + ], + "娩": [ + "ㄇㄧㄢ3", + "ㄨㄢ3", + "ㄨㄣ4" + ], + "娪": [ + "ㄨ2", + "ㄨ4", + "ㄩ2" + ], + "娫": [ + "ㄧㄢ2" + ], + "娬": [ + "ㄨ3" + ], + "娭": [ + "ㄞ1", + "ㄒㄧ1" + ], + "娮": [ + "ㄧㄢ2" + ], + "娯": [ + "ㄩ2" + ], + "娰": [ + "ㄙ4" + ], + "娱": [ + "ㄩ2" + ], + "娲": [ + "ㄨㄚ1" + ], + "娳": [ + "ㄌㄧ4" + ], + "娴": [ + "ㄒㄧㄢ2" + ], + "娵": [ + "ㄐㄩ1" + ], + "娶": [ + "ㄑㄩ3", + "ㄐㄩ1", + "ㄕㄨ1" + ], + "娷": [ + "ㄓㄨㄟ4", + "ㄕㄨㄟ4" + ], + "娸": [ + "ㄑㄧ1" + ], + "娹": [ + "ㄒㄧㄢ2" + ], + "娺": [ + "ㄓㄨㄛ2" + ], + "娻": [ + "ㄉㄨㄥ1", + "ㄉㄨㄥ4" + ], + "娼": [ + "ㄔㄤ1" + ], + "娽": [ + "ㄌㄨ4" + ], + "娾": [ + "ㄞ3", + "ㄞ2", + "ㄜ4" + ], + "娿": [ + "ㄜ1", + "ㄜ3" + ], + "婀": [ + "ㄜ1", + "ㄜ3" + ], + "婁": [ + "ㄌㄡ2", + "ㄌㄩ3", + "ㄌㄩ2", + "ㄌㄟ2" + ], + "婂": [ + "ㄇㄧㄢ2" + ], + "婃": [ + "ㄘㄨㄥ2" + ], + "婄": [ + "ㄆㄡ3", + "ㄆㄟ2", + "ㄅㄨ4" + ], + "婅": [ + "ㄐㄩ2" + ], + "婆": [ + "ㄆㄛ2" + ], + "婇": [ + "ㄘㄞ3" + ], + "婈": [ + "ㄌㄧㄥ2" + ], + "婉": [ + "ㄨㄢ3" + ], + "婊": [ + "ㄅㄧㄠ3" + ], + "婋": [ + "ㄒㄧㄠ1" + ], + "婌": [ + "ㄕㄨ2" + ], + "婍": [ + "ㄑㄧ3" + ], + "婎": [ + "ㄏㄨㄟ1" + ], + "婏": [ + "ㄈㄢ4", + "ㄈㄨ4" + ], + "婐": [ + "ㄨㄛ3" + ], + "婑": [ + "ㄖㄨㄟ2", + "ㄨㄛ3", + "ㄋㄟ3" + ], + "婒": [ + "ㄊㄢ2" + ], + "婓": [ + "ㄈㄟ1" + ], + "婔": [ + "ㄈㄟ1" + ], + "婕": [ + "ㄐㄧㄝ2", + "ㄑㄧㄝ4" + ], + "婖": [ + "ㄊㄧㄢ1" + ], + "婗": [ + "ㄋㄧ2", + "ㄋㄧ3" + ], + "婘": [ + "ㄑㄩㄢ2", + "ㄐㄩㄢ4" + ], + "婙": [ + "ㄐㄧㄥ4" + ], + "婚": [ + "ㄏㄨㄣ1" + ], + "婛": [ + "ㄐㄧㄥ1" + ], + "婜": [ + "ㄑㄧㄢ1", + "ㄐㄧㄣ3" + ], + "婝": [ + "ㄉㄧㄢ4" + ], + "婞": [ + "ㄒㄧㄥ4" + ], + "婟": [ + "ㄏㄨ4" + ], + "婠": [ + "ㄨㄢ1", + "ㄍㄨㄢ4" + ], + "婡": [ + "ㄌㄞ2", + "ㄌㄞ4" + ], + "婢": [ + "ㄅㄧ4" + ], + "婣": [ + "ㄧㄣ1" + ], + "婤": [ + "ㄔㄡ1", + "ㄓㄡ1" + ], + "婥": [ + "ㄋㄠ4", + "ㄔㄨㄛ4" + ], + "婦": [ + "ㄈㄨ4" + ], + "婧": [ + "ㄐㄧㄥ4" + ], + "婨": [ + "ㄌㄨㄣ2" + ], + "婩": [ + "ㄢ4", + "ㄋㄩㄝ4" + ], + "婪": [ + "ㄌㄢ2", + "ㄌㄢ3" + ], + "婫": [ + "ㄎㄨㄣ1", + "ㄏㄨㄣ4" + ], + "婬": [ + "ㄧㄣ2" + ], + "婭": [ + "ㄧㄚ4", + "ㄧㄚ1", + "ㄧㄚ3" + ], + "婮": [ + "ㄐㄩ1" + ], + "婯": [ + "ㄌㄧ4" + ], + "婰": [ + "ㄉㄧㄢ3" + ], + "婱": [ + "ㄒㄧㄢ2" + ], + "婲": [ + "ㄏㄨㄚ1" + ], + "婳": [ + "ㄏㄨㄚ4" + ], + "婴": [ + "ㄧㄥ1" + ], + "婵": [ + "ㄔㄢ2" + ], + "婶": [ + "ㄕㄣ3" + ], + "婷": [ + "ㄊㄧㄥ2" + ], + "婸": [ + "ㄉㄤ4", + "ㄧㄤ2" + ], + "婹": [ + "ㄧㄠ3" + ], + "婺": [ + "ㄨ4", + "ㄇㄡ2", + "ㄇㄨ4" + ], + "婻": [ + "ㄋㄢ4" + ], + "婼": [ + "ㄔㄨㄛ4", + "ㄖㄨㄛ4" + ], + "婽": [ + "ㄐㄧㄚ3" + ], + "婾": [ + "ㄊㄡ1" + ], + "婿": [ + "ㄒㄩ4" + ], + "媀": [ + "ㄩ4", + "ㄩ2" + ], + "媁": [ + "ㄨㄟ2", + "ㄨㄟ3" + ], + "媂": [ + "ㄉㄧ4", + "ㄊㄧ2" + ], + "媃": [ + "ㄖㄡ2" + ], + "媄": [ + "ㄇㄟ3" + ], + "媅": [ + "ㄉㄢ1" + ], + "媆": [ + "ㄖㄨㄢ3", + "ㄋㄣ4", + "ㄋㄨㄣ4" + ], + "媇": [ + "ㄑㄧㄣ1" + ], + "媈": [ + "ㄏㄨㄟ1" + ], + "媉": [ + "ㄨㄛ4" + ], + "媊": [ + "ㄑㄧㄢ2" + ], + "媋": [ + "ㄔㄨㄣ1" + ], + "媌": [ + "ㄇㄧㄠ2" + ], + "媍": [ + "ㄈㄨ4" + ], + "媎": [ + "ㄐㄧㄝ3" + ], + "媏": [ + "ㄉㄨㄢ1" + ], + "媐": [ + "ㄧ2", + "ㄒㄧ1" + ], + "媑": [ + "ㄓㄨㄥ4" + ], + "媒": [ + "ㄇㄟ2", + "ㄇㄟ4" + ], + "媓": [ + "ㄏㄨㄤ2" + ], + "媔": [ + "ㄇㄧㄢ2", + "ㄇㄧㄢ3" + ], + "媕": [ + "ㄢ1", + "ㄧㄢ3", + "ㄜ4" + ], + "媖": [ + "ㄧㄥ1" + ], + "媗": [ + "ㄒㄩㄢ1" + ], + "媘": [ + "ㄐㄧㄝ1" + ], + "媙": [ + "ㄨㄟ1" + ], + "媚": [ + "ㄇㄟ4" + ], + "媛": [ + "ㄩㄢ4", + "ㄩㄢ2" + ], + "媜": [ + "ㄓㄥ1" + ], + "媝": [ + "ㄑㄧㄡ1" + ], + "媞": [ + "ㄕ4", + "ㄊㄧ2", + "ㄓ1", + "ㄉㄞ4" + ], + "媟": [ + "ㄒㄧㄝ4" + ], + "媠": [ + "ㄊㄨㄛ3", + "ㄉㄨㄛ4", + "ㄋㄨㄛ3" + ], + "媡": [ + "ㄌㄧㄢ4" + ], + "媢": [ + "ㄇㄠ4" + ], + "媣": [ + "ㄖㄢ3" + ], + "媤": [ + "ㄙ1" + ], + "媥": [ + "ㄆㄧㄢ1" + ], + "媦": [ + "ㄨㄟ4" + ], + "媧": [ + "ㄨㄚ1" + ], + "媨": [ + "ㄘㄨ4" + ], + "媩": [ + "ㄏㄨ2" + ], + "媪": [ + "ㄠ3", + "ㄩㄣ3", + "ㄨㄛ4" + ], + "媫": [ + "ㄐㄧㄝ2" + ], + "媬": [ + "ㄅㄠ3" + ], + "媭": [ + "ㄒㄩ1" + ], + "媮": [ + "ㄊㄡ1", + "ㄩ2" + ], + "媯": [ + "ㄍㄨㄟ1", + "ㄍㄨㄟ4" + ], + "媰": [ + "ㄔㄨ2", + "ㄗㄡ4" + ], + "媱": [ + "ㄧㄠ2" + ], + "媲": [ + "ㄆㄧ4", + "ㄅㄧ1", + "ㄆㄧ2" + ], + "媳": [ + "ㄒㄧ2" + ], + "媴": [ + "ㄩㄢ2" + ], + "媵": [ + "ㄧㄥ4", + "ㄕㄥ4" + ], + "媶": [ + "ㄖㄨㄥ2" + ], + "媷": [ + "ㄖㄨ4" + ], + "媸": [ + "ㄔ1" + ], + "媹": [ + "ㄌㄧㄡ2" + ], + "媺": [ + "ㄇㄟ3" + ], + "媻": [ + "ㄆㄢ2" + ], + "媼": [ + "ㄠ3" + ], + "媽": [ + "ㄇㄚ1" + ], + "媾": [ + "ㄍㄡ4" + ], + "媿": [ + "ㄎㄨㄟ4", + "ㄔㄡ3" + ], + "嫀": [ + "ㄑㄧㄣ2", + "ㄕㄣ1" + ], + "嫁": [ + "ㄐㄧㄚ4" + ], + "嫂": [ + "ㄙㄠ3" + ], + "嫃": [ + "ㄓㄣ1", + "ㄓㄣ3" + ], + "嫄": [ + "ㄩㄢ2" + ], + "嫅": [ + "ㄐㄧㄝ1", + "ㄙㄨㄛ3" + ], + "嫆": [ + "ㄖㄨㄥ2" + ], + "嫇": [ + "ㄇㄧㄥ2", + "ㄇㄧㄥ3", + "ㄇㄥ2" + ], + "嫈": [ + "ㄧㄥ1", + "ㄒㄧㄥ1", + "ㄧㄥ2" + ], + "嫉": [ + "ㄐㄧ2" + ], + "嫊": [ + "ㄙㄨ4" + ], + "嫋": [ + "ㄋㄧㄠ3" + ], + "嫌": [ + "ㄒㄧㄢ2" + ], + "嫍": [ + "ㄊㄠ1" + ], + "嫎": [ + "ㄆㄤ2", + "ㄅㄤ4" + ], + "嫏": [ + "ㄌㄤ2" + ], + "嫐": [ + "ㄋㄠ3" + ], + "嫑": [ + "ㄅㄠ2" + ], + "嫒": [ + "ㄞ4" + ], + "嫓": [ + "ㄆㄧ4" + ], + "嫔": [ + "ㄆㄧㄣ2" + ], + "嫕": [ + "ㄧ4" + ], + "嫖": [ + "ㄆㄧㄠ2", + "ㄆㄧㄠ4", + "ㄅㄧㄠ1" + ], + "嫗": [ + "ㄩ4", + "ㄩ3", + "ㄎㄡ1" + ], + "嫘": [ + "ㄌㄟ2" + ], + "嫙": [ + "ㄒㄩㄢ2" + ], + "嫚": [ + "ㄇㄢ1", + "ㄇㄢ4", + "ㄩㄢ1" + ], + "嫛": [ + "ㄧ1" + ], + "嫜": [ + "ㄓㄤ1" + ], + "嫝": [ + "ㄎㄤ1" + ], + "嫞": [ + "ㄩㄥ1" + ], + "嫟": [ + "ㄋㄧ4" + ], + "嫠": [ + "ㄌㄧ2" + ], + "嫡": [ + "ㄉㄧ2" + ], + "嫢": [ + "ㄍㄨㄟ1", + "ㄗㄨㄟ1" + ], + "嫣": [ + "ㄧㄢ1" + ], + "嫤": [ + "ㄐㄧㄣ3", + "ㄐㄧㄣ4" + ], + "嫥": [ + "ㄓㄨㄢ1", + "ㄊㄨㄢ2" + ], + "嫦": [ + "ㄔㄤ2" + ], + "嫧": [ + "ㄗㄜ2", + "ㄘㄜ4" + ], + "嫨": [ + "ㄏㄢ1", + "ㄋㄢ3" + ], + "嫩": [ + "ㄋㄣ4" + ], + "嫪": [ + "ㄌㄠ4", + "ㄌㄠ2" + ], + "嫫": [ + "ㄇㄛ2" + ], + "嫬": [ + "ㄓㄜ1" + ], + "嫭": [ + "ㄏㄨ4" + ], + "嫮": [ + "ㄏㄨ4" + ], + "嫯": [ + "ㄠ4" + ], + "嫰": [ + "ㄋㄣ4" + ], + "嫱": [ + "ㄑㄧㄤ2" + ], + "嫲": [ + "ㄇㄚ5" + ], + "嫳": [ + "ㄆㄧㄝ4" + ], + "嫴": [ + "ㄍㄨ1" + ], + "嫵": [ + "ㄨ3" + ], + "嫶": [ + "ㄑㄧㄠ2", + "ㄐㄧㄠ1" + ], + "嫷": [ + "ㄊㄨㄛ3" + ], + "嫸": [ + "ㄓㄢ3" + ], + "嫹": [ + "ㄇㄧㄠ2" + ], + "嫺": [ + "ㄒㄧㄢ2" + ], + "嫻": [ + "ㄒㄧㄢ2" + ], + "嫼": [ + "ㄇㄛ4" + ], + "嫽": [ + "ㄌㄧㄠ2", + "ㄌㄧㄠ3", + "ㄌㄧㄠ4", + "ㄌㄠ3" + ], + "嫾": [ + "ㄌㄧㄢ2" + ], + "嫿": [ + "ㄏㄨㄚ4" + ], + "嬀": [ + "ㄍㄨㄟ1" + ], + "嬁": [ + "ㄉㄥ1" + ], + "嬂": [ + "ㄓ2" + ], + "嬃": [ + "ㄒㄩ1" + ], + "嬄": [ + "ㄧ1" + ], + "嬅": [ + "ㄏㄨㄚ4" + ], + "嬆": [ + "ㄒㄧ1" + ], + "嬇": [ + "ㄎㄨㄟ4" + ], + "嬈": [ + "ㄖㄠ2", + "ㄖㄠ3", + "ㄧㄠ3" + ], + "嬉": [ + "ㄒㄧ1", + "ㄒㄧ3" + ], + "嬊": [ + "ㄧㄢ4" + ], + "嬋": [ + "ㄔㄢ2" + ], + "嬌": [ + "ㄐㄧㄠ1" + ], + "嬍": [ + "ㄇㄟ3" + ], + "嬎": [ + "ㄈㄢ4", + "ㄈㄨ4" + ], + "嬏": [ + "ㄈㄢ1" + ], + "嬐": [ + "ㄒㄧㄢ1", + "ㄧㄢ3", + "ㄐㄧㄣ4" + ], + "嬑": [ + "ㄧ4" + ], + "嬒": [ + "ㄏㄨㄟ4" + ], + "嬓": [ + "ㄐㄧㄠ4" + ], + "嬔": [ + "ㄈㄨ4" + ], + "嬕": [ + "ㄕ4" + ], + "嬖": [ + "ㄅㄧ4" + ], + "嬗": [ + "ㄕㄢ4", + "ㄔㄢ2" + ], + "嬘": [ + "ㄙㄨㄟ4" + ], + "嬙": [ + "ㄑㄧㄤ2" + ], + "嬚": [ + "ㄌㄧㄢ3" + ], + "嬛": [ + "ㄏㄨㄢ2", + "ㄒㄩㄢ1", + "ㄑㄩㄥ2", + "ㄒㄩㄢ2" + ], + "嬜": [ + "ㄒㄧㄣ1" + ], + "嬝": [ + "ㄋㄧㄠ3" + ], + "嬞": [ + "ㄉㄨㄥ3" + ], + "嬟": [ + "ㄧ4", + "ㄧ3" + ], + "嬠": [ + "ㄘㄢ1" + ], + "嬡": [ + "ㄞ4" + ], + "嬢": [ + "ㄋㄧㄤ2" + ], + "嬣": [ + "ㄋㄧㄥ2" + ], + "嬤": [ + "ㄇㄚ1" + ], + "嬥": [ + "ㄊㄧㄠ3", + "ㄉㄧㄠ4" + ], + "嬦": [ + "ㄔㄡ2" + ], + "嬧": [ + "ㄐㄧㄣ4" + ], + "嬨": [ + "ㄘ2" + ], + "嬩": [ + "ㄩ2" + ], + "嬪": [ + "ㄆㄧㄣ2" + ], + "嬫": [ + "ㄖㄨㄥ2" + ], + "嬬": [ + "ㄖㄨ2", + "ㄋㄡ4" + ], + "嬭": [ + "ㄋㄞ3", + "ㄦ3", + "ㄋㄧ4" + ], + "嬮": [ + "ㄧㄢ1", + "ㄧㄢ4" + ], + "嬯": [ + "ㄊㄞ2" + ], + "嬰": [ + "ㄧㄥ1", + "ㄧㄥ4" + ], + "嬱": [ + "ㄑㄧㄢ4" + ], + "嬲": [ + "ㄋㄧㄠ3" + ], + "嬳": [ + "ㄩㄝ4" + ], + "嬴": [ + "ㄧㄥ2" + ], + "嬵": [ + "ㄇㄧㄢ2" + ], + "嬶": [ + "ㄅㄧ2" + ], + "嬷": [ + "ㄇㄚ1", + "ㄇㄛ2" + ], + "嬸": [ + "ㄕㄣ3" + ], + "嬹": [ + "ㄒㄧㄥ4", + "ㄒㄧㄥ1" + ], + "嬺": [ + "ㄋㄧ4" + ], + "嬻": [ + "ㄉㄨ2" + ], + "嬼": [ + "ㄌㄧㄡ3" + ], + "嬽": [ + "ㄩㄢ1" + ], + "嬾": [ + "ㄌㄢ3" + ], + "嬿": [ + "ㄧㄢ4" + ], + "孀": [ + "ㄕㄨㄤ1" + ], + "孁": [ + "ㄌㄧㄥ2" + ], + "孂": [ + "ㄐㄧㄠ3" + ], + "孃": [ + "ㄋㄧㄤ2", + "ㄖㄤ2" + ], + "孄": [ + "ㄌㄢ3" + ], + "孅": [ + "ㄑㄧㄢ1", + "ㄒㄧㄢ1" + ], + "孆": [ + "ㄧㄥ1" + ], + "孇": [ + "ㄕㄨㄤ1" + ], + "孈": [ + "ㄏㄨㄟ4", + "ㄒㄧㄝ2" + ], + "孉": [ + "ㄑㄩㄢ2", + "ㄏㄨㄢ1" + ], + "孊": [ + "ㄇㄧ3" + ], + "孋": [ + "ㄌㄧ2", + "ㄌㄧ4" + ], + "孌": [ + "ㄌㄨㄢ2", + "ㄌㄧㄢ4", + "ㄌㄨㄢ3" + ], + "孍": [ + "ㄧㄢ2", + "ㄧㄢ3" + ], + "孎": [ + "ㄓㄨ2", + "ㄕㄨ2", + "ㄔㄨㄛ4" + ], + "孏": [ + "ㄌㄢ3" + ], + "子": [ + "ㄗ5", + "ㄗ3" + ], + "孑": [ + "ㄐㄧㄝ2" + ], + "孒": [ + "ㄐㄩㄝ2" + ], + "孓": [ + "ㄐㄩㄝ2" + ], + "孔": [ + "ㄎㄨㄥ3" + ], + "孕": [ + "ㄩㄣ4" + ], + "孖": [ + "ㄇㄚ1", + "ㄗ1" + ], + "字": [ + "ㄗ4" + ], + "存": [ + "ㄘㄨㄣ2" + ], + "孙": [ + "ㄙㄨㄣ1" + ], + "孚": [ + "ㄈㄨ2" + ], + "孛": [ + "ㄅㄟ4", + "ㄅㄛ2" + ], + "孜": [ + "ㄗ1" + ], + "孝": [ + "ㄒㄧㄠ4" + ], + "孞": [ + "ㄒㄧㄣ4" + ], + "孟": [ + "ㄇㄥ4" + ], + "孠": [ + "ㄙ4" + ], + "孡": [ + "ㄊㄞ1" + ], + "孢": [ + "ㄅㄠ1" + ], + "季": [ + "ㄐㄧ4" + ], + "孤": [ + "ㄍㄨ1" + ], + "孥": [ + "ㄋㄨ2" + ], + "学": [ + "ㄒㄩㄝ2" + ], + "孧": [ + "ㄧㄡ4" + ], + "孨": [ + "ㄓㄨㄢ3", + "ㄋㄧ4" + ], + "孩": [ + "ㄏㄞ2" + ], + "孪": [ + "ㄌㄨㄢ2" + ], + "孫": [ + "ㄙㄨㄣ1", + "ㄒㄩㄣ4" + ], + "孬": [ + "ㄋㄠ1" + ], + "孭": [ + "ㄇㄧㄝ1" + ], + "孮": [ + "ㄘㄨㄥ2" + ], + "孯": [ + "ㄑㄧㄢ1" + ], + "孰": [ + "ㄕㄨ2" + ], + "孱": [ + "ㄘㄢ4", + "ㄔㄢ2", + "ㄐㄧㄢ1", + "ㄓㄢ4" + ], + "孲": [ + "ㄧㄚ1" + ], + "孳": [ + "ㄗ1" + ], + "孴": [ + "ㄋㄧ3", + "ㄋㄧ4", + "ㄧ4" + ], + "孵": [ + "ㄈㄨ1" + ], + "孶": [ + "ㄗ1" + ], + "孷": [ + "ㄌㄧ2" + ], + "學": [ + "ㄒㄩㄝ2", + "ㄏㄨㄚ2", + "ㄐㄧㄠ4" + ], + "孹": [ + "ㄅㄛ4" + ], + "孺": [ + "ㄖㄨ2" + ], + "孻": [ + "ㄋㄞ2" + ], + "孼": [ + "ㄋㄧㄝ4" + ], + "孽": [ + "ㄋㄧㄝ4" + ], + "孾": [ + "ㄧㄥ1" + ], + "孿": [ + "ㄌㄨㄢ2" + ], + "宀": [ + "ㄇㄧㄢ2" + ], + "宁": [ + "ㄋㄧㄥ2", + "ㄋㄧㄥ4", + "ㄓㄨ4" + ], + "宂": [ + "ㄖㄨㄥ3" + ], + "它": [ + "ㄊㄚ1", + "ㄊㄨㄛ2", + "ㄧ2" + ], + "宄": [ + "ㄍㄨㄟ3" + ], + "宅": [ + "ㄓㄞ2", + "ㄔㄜ4", + "ㄉㄨ4" + ], + "宆": [ + "ㄑㄩㄥ2" + ], + "宇": [ + "ㄩ3" + ], + "守": [ + "ㄕㄡ3", + "ㄕㄡ4" + ], + "安": [ + "ㄢ1" + ], + "宊": [ + "ㄊㄨ1", + "ㄐㄧㄚ1" + ], + "宋": [ + "ㄙㄨㄥ4" + ], + "完": [ + "ㄨㄢ2", + "ㄎㄨㄢ1" + ], + "宍": [ + "ㄖㄡ4" + ], + "宎": [ + "ㄧㄠ3", + "ㄧㄠ1" + ], + "宏": [ + "ㄏㄨㄥ2" + ], + "宐": [ + "ㄧ2" + ], + "宑": [ + "ㄐㄧㄥ3" + ], + "宒": [ + "ㄓㄨㄣ1" + ], + "宓": [ + "ㄇㄧ4", + "ㄈㄨ2" + ], + "宔": [ + "ㄓㄨ3" + ], + "宕": [ + "ㄉㄤ4" + ], + "宖": [ + "ㄏㄨㄥ2" + ], + "宗": [ + "ㄗㄨㄥ1" + ], + "官": [ + "ㄍㄨㄢ1" + ], + "宙": [ + "ㄓㄡ4" + ], + "定": [ + "ㄉㄧㄥ4" + ], + "宛": [ + "ㄨㄢ3", + "ㄩㄢ1", + "ㄩㄣ3", + "ㄩ4" + ], + "宜": [ + "ㄧ2" + ], + "宝": [ + "ㄅㄠ3" + ], + "实": [ + "ㄕ2" + ], + "実": [ + "ㄕ2" + ], + "宠": [ + "ㄔㄨㄥ3" + ], + "审": [ + "ㄕㄣ3" + ], + "客": [ + "ㄎㄜ4", + "ㄑㄧㄚ4" + ], + "宣": [ + "ㄒㄩㄢ1" + ], + "室": [ + "ㄕ4" + ], + "宥": [ + "ㄧㄡ4" + ], + "宦": [ + "ㄏㄨㄢ4" + ], + "宧": [ + "ㄧ2" + ], + "宨": [ + "ㄊㄧㄠ3" + ], + "宩": [ + "ㄕ3" + ], + "宪": [ + "ㄒㄧㄢ4", + "ㄒㄩㄥ4" + ], + "宫": [ + "ㄍㄨㄥ1" + ], + "宬": [ + "ㄔㄥ2" + ], + "宭": [ + "ㄑㄩㄣ2" + ], + "宮": [ + "ㄍㄨㄥ1" + ], + "宯": [ + "ㄒㄧㄠ1" + ], + "宰": [ + "ㄗㄞ3" + ], + "宱": [ + "ㄓㄚ4" + ], + "宲": [ + "ㄅㄠ3", + "ㄕ2" + ], + "害": [ + "ㄏㄞ4", + "ㄏㄜ2" + ], + "宴": [ + "ㄧㄢ4" + ], + "宵": [ + "ㄒㄧㄠ1" + ], + "家": [ + "ㄐㄧㄚ1", + "ㄐㄧㄚ5", + "ㄐㄧㄚ4", + "ㄐㄧㄝ5", + "ㄍㄨ1" + ], + "宷": [ + "ㄕㄣ3" + ], + "宸": [ + "ㄔㄣ2" + ], + "容": [ + "ㄖㄨㄥ2", + "ㄩㄥ3" + ], + "宺": [ + "ㄏㄨㄤ3" + ], + "宻": [ + "ㄇㄧ4" + ], + "宼": [ + "ㄎㄡ4" + ], + "宽": [ + "ㄎㄨㄢ1" + ], + "宾": [ + "ㄅㄧㄣ1" + ], + "宿": [ + "ㄙㄨ4", + "ㄒㄧㄡ3", + "ㄒㄧㄡ4", + "ㄑㄧ1" + ], + "寀": [ + "ㄘㄞ3", + "ㄘㄞ4" + ], + "寁": [ + "ㄗㄢ3" + ], + "寂": [ + "ㄐㄧ4" + ], + "寃": [ + "ㄩㄢ1" + ], + "寄": [ + "ㄐㄧ4" + ], + "寅": [ + "ㄧㄣ2" + ], + "密": [ + "ㄇㄧ4" + ], + "寇": [ + "ㄎㄡ4" + ], + "寈": [ + "ㄑㄧㄥ1" + ], + "寉": [ + "ㄏㄜ4" + ], + "寊": [ + "ㄓㄣ1" + ], + "寋": [ + "ㄐㄧㄢ4" + ], + "富": [ + "ㄈㄨ4" + ], + "寍": [ + "ㄋㄧㄥ2" + ], + "寎": [ + "ㄅㄧㄥ4", + "ㄅㄧㄥ3" + ], + "寏": [ + "ㄏㄨㄢ2" + ], + "寐": [ + "ㄇㄟ4" + ], + "寑": [ + "ㄑㄧㄣ3" + ], + "寒": [ + "ㄏㄢ2" + ], + "寓": [ + "ㄩ4" + ], + "寔": [ + "ㄕ2" + ], + "寕": [ + "ㄋㄧㄥ2" + ], + "寖": [ + "ㄐㄧㄣ4" + ], + "寗": [ + "ㄋㄧㄥ2" + ], + "寘": [ + "ㄓ4", + "ㄊㄧㄢ2" + ], + "寙": [ + "ㄩ3" + ], + "寚": [ + "ㄅㄠ3" + ], + "寛": [ + "ㄎㄨㄢ1" + ], + "寜": [ + "ㄋㄧㄥ2" + ], + "寝": [ + "ㄑㄧㄣ3" + ], + "寞": [ + "ㄇㄛ4" + ], + "察": [ + "ㄔㄚ2", + "ㄘㄨㄟ4" + ], + "寠": [ + "ㄐㄩ4", + "ㄌㄩ4", + "ㄌㄡ2" + ], + "寡": [ + "ㄍㄨㄚ3" + ], + "寢": [ + "ㄑㄧㄣ3" + ], + "寣": [ + "ㄏㄨ1" + ], + "寤": [ + "ㄨ4" + ], + "寥": [ + "ㄌㄧㄠ2" + ], + "實": [ + "ㄕ2", + "ㄓ4" + ], + "寧": [ + "ㄋㄧㄥ2", + "ㄋㄧㄥ4" + ], + "寨": [ + "ㄓㄞ4", + "ㄙㄜ4", + "ㄑㄧㄢ1" + ], + "審": [ + "ㄕㄣ3", + "ㄆㄢ2" + ], + "寪": [ + "ㄨㄟ3", + "ㄨㄟ2" + ], + "寫": [ + "ㄒㄧㄝ3", + "ㄒㄧㄝ4" + ], + "寬": [ + "ㄎㄨㄢ1" + ], + "寭": [ + "ㄏㄨㄟ4" + ], + "寮": [ + "ㄌㄧㄠ2" + ], + "寯": [ + "ㄐㄩㄣ4" + ], + "寰": [ + "ㄏㄨㄢ2", + "ㄒㄧㄢ4" + ], + "寱": [ + "ㄧ4" + ], + "寲": [ + "ㄧ2" + ], + "寳": [ + "ㄅㄠ3" + ], + "寴": [ + "ㄑㄧㄣ1", + "ㄑㄧㄣ4" + ], + "寵": [ + "ㄔㄨㄥ3", + "ㄌㄨㄥ2" + ], + "寶": [ + "ㄅㄠ3" + ], + "寷": [ + "ㄈㄥ1" + ], + "寸": [ + "ㄘㄨㄣ4", + "ㄘㄨㄣ3" + ], + "对": [ + "ㄉㄨㄟ4" + ], + "寺": [ + "ㄙ4", + "ㄕ4" + ], + "寻": [ + "ㄒㄩㄣ2", + "ㄒㄧㄣ2" + ], + "导": [ + "ㄉㄠ3" + ], + "寽": [ + "ㄌㄩ4", + "ㄌㄩㄝ4" + ], + "対": [ + "ㄉㄨㄟ4" + ], + "寿": [ + "ㄕㄡ4" + ], + "尀": [ + "ㄆㄛ3" + ], + "封": [ + "ㄈㄥ1", + "ㄅㄧㄢ3" + ], + "専": [ + "ㄓㄨㄢ1" + ], + "尃": [ + "ㄈㄨ1", + "ㄅㄨ4", + "ㄈㄨ3", + "ㄆㄛ4" + ], + "射": [ + "ㄕㄜ4", + "ㄧㄝ4", + "ㄧ4" + ], + "尅": [ + "ㄎㄜ4", + "ㄎㄟ1" + ], + "将": [ + "ㄐㄧㄤ1", + "ㄐㄧㄤ4", + "ㄑㄧㄤ1" + ], + "將": [ + "ㄐㄧㄤ1", + "ㄐㄧㄤ4", + "ㄑㄧㄤ1", + "ㄧㄤ2", + "ㄐㄧㄤ3" + ], + "專": [ + "ㄓㄨㄢ1", + "ㄊㄨㄢ2", + "ㄕㄨㄢ4" + ], + "尉": [ + "ㄨㄟ4", + "ㄩ4", + "ㄩㄣ4" + ], + "尊": [ + "ㄗㄨㄣ1" + ], + "尋": [ + "ㄒㄩㄣ2", + "ㄒㄧㄣ2" + ], + "尌": [ + "ㄕㄨ4", + "ㄓㄨ4" + ], + "對": [ + "ㄉㄨㄟ4" + ], + "導": [ + "ㄉㄠ3", + "ㄉㄠ4" + ], + "小": [ + "ㄒㄧㄠ3" + ], + "尐": [ + "ㄐㄧㄝ2", + "ㄐㄧ2" + ], + "少": [ + "ㄕㄠ3", + "ㄕㄠ4" + ], + "尒": [ + "ㄦ3" + ], + "尓": [ + "ㄦ3" + ], + "尔": [ + "ㄦ3" + ], + "尕": [ + "ㄍㄚ3" + ], + "尖": [ + "ㄐㄧㄢ1" + ], + "尗": [ + "ㄕㄨ1", + "ㄕㄨ2" + ], + "尘": [ + "ㄔㄣ2" + ], + "尙": [ + "ㄕㄤ4" + ], + "尚": [ + "ㄕㄤ4", + "ㄔㄤ2" + ], + "尛": [ + "ㄇㄛ2" + ], + "尜": [ + "ㄍㄚ2" + ], + "尝": [ + "ㄔㄤ2" + ], + "尞": [ + "ㄌㄧㄠ4", + "ㄌㄧㄠ2" + ], + "尟": [ + "ㄒㄧㄢ3" + ], + "尠": [ + "ㄒㄧㄢ3" + ], + "尡": [ + "ㄎㄨㄣ5" + ], + "尢": [ + "ㄧㄡ2", + "ㄨㄤ1" + ], + "尣": [ + "ㄨㄤ1" + ], + "尤": [ + "ㄧㄡ2" + ], + "尥": [ + "ㄌㄧㄠ4", + "ㄋㄧㄠ3" + ], + "尦": [ + "ㄌㄧㄠ4" + ], + "尧": [ + "ㄧㄠ2" + ], + "尨": [ + "ㄇㄤ2", + "ㄇㄥ2", + "ㄆㄤ2" + ], + "尩": [ + "ㄨㄤ1" + ], + "尪": [ + "ㄨㄤ1" + ], + "尫": [ + "ㄨㄤ1" + ], + "尬": [ + "ㄍㄚ4" + ], + "尭": [ + "ㄧㄠ2" + ], + "尮": [ + "ㄉㄨㄛ4" + ], + "尯": [ + "ㄎㄨㄟ4", + "ㄎㄨㄟ3" + ], + "尰": [ + "ㄓㄨㄥ3" + ], + "就": [ + "ㄐㄧㄡ4" + ], + "尲": [ + "ㄍㄢ1" + ], + "尳": [ + "ㄍㄨ3" + ], + "尴": [ + "ㄍㄢ1" + ], + "尵": [ + "ㄊㄨㄟ2", + "ㄓㄨㄞ4" + ], + "尶": [ + "ㄍㄢ1" + ], + "尷": [ + "ㄍㄢ1" + ], + "尸": [ + "ㄕ1" + ], + "尹": [ + "ㄧㄣ3", + "ㄩㄣ2" + ], + "尺": [ + "ㄔ3", + "ㄔㄜ3" + ], + "尻": [ + "ㄎㄠ1" + ], + "尼": [ + "ㄋㄧ2", + "ㄋㄧ3" + ], + "尽": [ + "ㄐㄧㄣ3", + "ㄐㄧㄣ4" + ], + "尾": [ + "ㄨㄟ3", + "ㄧ3" + ], + "尿": [ + "ㄋㄧㄠ4", + "ㄙㄨㄟ1" + ], + "局": [ + "ㄐㄩ2" + ], + "屁": [ + "ㄆㄧ4" + ], + "层": [ + "ㄘㄥ2" + ], + "屃": [ + "ㄒㄧ4" + ], + "屄": [ + "ㄅㄧ1" + ], + "居": [ + "ㄐㄩ1", + "ㄐㄧ1" + ], + "屆": [ + "ㄐㄧㄝ4" + ], + "屇": [ + "ㄊㄧㄢ2" + ], + "屈": [ + "ㄑㄩ1", + "ㄐㄩㄝ2", + "ㄑㄩㄝ4", + "ㄐㄩ2" + ], + "屉": [ + "ㄊㄧ4" + ], + "届": [ + "ㄐㄧㄝ4" + ], + "屋": [ + "ㄨ1" + ], + "屌": [ + "ㄉㄧㄠ3" + ], + "屍": [ + "ㄕ1", + "ㄕ4" + ], + "屎": [ + "ㄕ3", + "ㄒㄧ1" + ], + "屏": [ + "ㄆㄧㄥ2", + "ㄅㄧㄥ3", + "ㄅㄧㄥ4", + "ㄅㄧㄥ1" + ], + "屐": [ + "ㄐㄧ1" + ], + "屑": [ + "ㄒㄧㄝ4" + ], + "屒": [ + "ㄓㄣ3" + ], + "屓": [ + "ㄒㄧㄝ4" + ], + "屔": [ + "ㄋㄧ2" + ], + "展": [ + "ㄓㄢ3" + ], + "屖": [ + "ㄒㄧ1" + ], + "屗": [ + "ㄨㄟ3" + ], + "屘": [ + "ㄇㄢ3" + ], + "屙": [ + "ㄜ1" + ], + "屚": [ + "ㄌㄡ4" + ], + "屛": [ + "ㄆㄧㄥ2" + ], + "屜": [ + "ㄊㄧ4" + ], + "屝": [ + "ㄈㄟ4" + ], + "属": [ + "ㄕㄨ3", + "ㄓㄨ3" + ], + "屟": [ + "ㄒㄧㄝ4", + "ㄊㄧ4" + ], + "屠": [ + "ㄊㄨ2" + ], + "屡": [ + "ㄌㄩ3" + ], + "屢": [ + "ㄌㄩ3" + ], + "屣": [ + "ㄒㄧ3" + ], + "層": [ + "ㄘㄥ2" + ], + "履": [ + "ㄌㄩ3" + ], + "屦": [ + "ㄐㄩ4" + ], + "屧": [ + "ㄒㄧㄝ4" + ], + "屨": [ + "ㄐㄩ4" + ], + "屩": [ + "ㄐㄩㄝ1" + ], + "屪": [ + "ㄌㄧㄠ2" + ], + "屫": [ + "ㄐㄩㄝ2" + ], + "屬": [ + "ㄕㄨ3", + "ㄓㄨ3" + ], + "屭": [ + "ㄒㄧ4" + ], + "屮": [ + "ㄔㄜ4", + "ㄘㄠ3" + ], + "屯": [ + "ㄊㄨㄣ2", + "ㄓㄨㄣ1" + ], + "屰": [ + "ㄋㄧ4", + "ㄆㄛ4", + "ㄐㄧ2" + ], + "山": [ + "ㄕㄢ1" + ], + "屲": [ + "ㄨㄚ1" + ], + "屳": [ + "ㄒㄧㄢ1" + ], + "屴": [ + "ㄌㄧ4" + ], + "屵": [ + "ㄜ4", + "ㄧㄢ3" + ], + "屶": [ + "ㄏㄨㄟ4" + ], + "屷": [ + "ㄏㄨㄟ4" + ], + "屸": [ + "ㄌㄨㄥ2", + "ㄏㄨㄥ2" + ], + "屹": [ + "ㄧ4", + "ㄍㄜ1" + ], + "屺": [ + "ㄑㄧ3" + ], + "屻": [ + "ㄖㄣ4" + ], + "屼": [ + "ㄨ4" + ], + "屽": [ + "ㄏㄢ4", + "ㄢ4" + ], + "屾": [ + "ㄕㄣ1" + ], + "屿": [ + "ㄩ3" + ], + "岀": [ + "ㄔㄨ1" + ], + "岁": [ + "ㄙㄨㄟ4" + ], + "岂": [ + "ㄑㄧ3", + "ㄎㄞ3" + ], + "岃": [ + "ㄖㄣ4" + ], + "岄": [ + "ㄩㄝ4" + ], + "岅": [ + "ㄅㄢ3" + ], + "岆": [ + "ㄧㄠ3" + ], + "岇": [ + "ㄤ2" + ], + "岈": [ + "ㄧㄚ2", + "ㄒㄧㄚ1" + ], + "岉": [ + "ㄨ4" + ], + "岊": [ + "ㄐㄧㄝ2" + ], + "岋": [ + "ㄜ4", + "ㄐㄧ2" + ], + "岌": [ + "ㄐㄧ2" + ], + "岍": [ + "ㄑㄧㄢ1" + ], + "岎": [ + "ㄈㄣ2", + "ㄔㄚ4" + ], + "岏": [ + "ㄨㄢ2" + ], + "岐": [ + "ㄑㄧ2" + ], + "岑": [ + "ㄘㄣ2" + ], + "岒": [ + "ㄑㄧㄢ2" + ], + "岓": [ + "ㄑㄧ2" + ], + "岔": [ + "ㄔㄚ4" + ], + "岕": [ + "ㄐㄧㄝ4" + ], + "岖": [ + "ㄑㄩ1" + ], + "岗": [ + "ㄍㄤ3", + "ㄍㄤ1" + ], + "岘": [ + "ㄒㄧㄢ4" + ], + "岙": [ + "ㄠ4" + ], + "岚": [ + "ㄌㄢ2" + ], + "岛": [ + "ㄉㄠ3" + ], + "岜": [ + "ㄅㄚ1" + ], + "岝": [ + "ㄗㄨㄛ4" + ], + "岞": [ + "ㄗㄨㄛ4" + ], + "岟": [ + "ㄧㄤ3" + ], + "岠": [ + "ㄐㄩ4" + ], + "岡": [ + "ㄍㄤ1" + ], + "岢": [ + "ㄎㄜ3" + ], + "岣": [ + "ㄍㄡ3" + ], + "岤": [ + "ㄒㄩㄝ2" + ], + "岥": [ + "ㄆㄛ1" + ], + "岦": [ + "ㄌㄧ4" + ], + "岧": [ + "ㄊㄧㄠ2" + ], + "岨": [ + "ㄑㄩ1", + "ㄐㄩ1", + "ㄗㄨ3", + "ㄐㄩ3" + ], + "岩": [ + "ㄧㄢ2" + ], + "岪": [ + "ㄈㄨ2" + ], + "岫": [ + "ㄒㄧㄡ4" + ], + "岬": [ + "ㄐㄧㄚ3", + "ㄐㄧㄚ2" + ], + "岭": [ + "ㄌㄧㄥ3", + "ㄌㄧㄥ2" + ], + "岮": [ + "ㄊㄨㄛ2" + ], + "岯": [ + "ㄆㄧ2" + ], + "岰": [ + "ㄠ4" + ], + "岱": [ + "ㄉㄞ4" + ], + "岲": [ + "ㄎㄨㄤ4" + ], + "岳": [ + "ㄩㄝ4" + ], + "岴": [ + "ㄑㄩ1" + ], + "岵": [ + "ㄏㄨ4" + ], + "岶": [ + "ㄆㄛ4" + ], + "岷": [ + "ㄇㄧㄣ2" + ], + "岸": [ + "ㄢ4" + ], + "岹": [ + "ㄊㄧㄠ2" + ], + "岺": [ + "ㄌㄧㄥ2" + ], + "岻": [ + "ㄔ2" + ], + "岼": [ + "ㄆㄧㄥ2" + ], + "岽": [ + "ㄉㄨㄥ1" + ], + "岾": [ + "ㄏㄢ4" + ], + "岿": [ + "ㄎㄨㄟ1" + ], + "峀": [ + "ㄒㄧㄡ4" + ], + "峁": [ + "ㄇㄠ3" + ], + "峂": [ + "ㄊㄨㄥ2" + ], + "峃": [ + "ㄒㄩㄝ2" + ], + "峄": [ + "ㄧ4" + ], + "峅": [ + "ㄅㄧㄢ4" + ], + "峆": [ + "ㄏㄜ2" + ], + "峇": [ + "ㄅㄚ1", + "ㄎㄜ4" + ], + "峈": [ + "ㄌㄨㄛ4" + ], + "峉": [ + "ㄜ4" + ], + "峊": [ + "ㄈㄨ4", + "ㄋㄧㄝ4" + ], + "峋": [ + "ㄒㄩㄣ2" + ], + "峌": [ + "ㄉㄧㄝ2" + ], + "峍": [ + "ㄌㄨ4" + ], + "峎": [ + "ㄣ3" + ], + "峏": [ + "ㄦ2" + ], + "峐": [ + "ㄍㄞ1" + ], + "峑": [ + "ㄑㄩㄢ1" + ], + "峒": [ + "ㄉㄨㄥ4", + "ㄊㄨㄥ2" + ], + "峓": [ + "ㄧ2" + ], + "峔": [ + "ㄇㄨ3" + ], + "峕": [ + "ㄕ2" + ], + "峖": [ + "ㄢ1" + ], + "峗": [ + "ㄨㄟ2", + "ㄨㄟ3" + ], + "峘": [ + "ㄏㄨㄢ2" + ], + "峙": [ + "ㄓ4", + "ㄕ4" + ], + "峚": [ + "ㄇㄧ4" + ], + "峛": [ + "ㄌㄧ3", + "ㄌㄧㄝ4" + ], + "峜": [ + "ㄐㄧ4" + ], + "峝": [ + "ㄊㄨㄥ2" + ], + "峞": [ + "ㄨㄟ2", + "ㄨㄟ3" + ], + "峟": [ + "ㄧㄡ4" + ], + "峠": [ + "ㄑㄧㄚ3" + ], + "峡": [ + "ㄒㄧㄚ2" + ], + "峢": [ + "ㄌㄧ3" + ], + "峣": [ + "ㄧㄠ2" + ], + "峤": [ + "ㄐㄧㄠ4", + "ㄑㄧㄠ2" + ], + "峥": [ + "ㄓㄥ1" + ], + "峦": [ + "ㄌㄨㄢ2" + ], + "峧": [ + "ㄐㄧㄠ1" + ], + "峨": [ + "ㄜ2" + ], + "峩": [ + "ㄜ2" + ], + "峪": [ + "ㄩ4" + ], + "峫": [ + "ㄒㄧㄝ2", + "ㄧㄝ2" + ], + "峬": [ + "ㄅㄨ1" + ], + "峭": [ + "ㄑㄧㄠ4" + ], + "峮": [ + "ㄑㄩㄣ1" + ], + "峯": [ + "ㄈㄥ1" + ], + "峰": [ + "ㄈㄥ1" + ], + "峱": [ + "ㄋㄠ2" + ], + "峲": [ + "ㄌㄧ3" + ], + "峳": [ + "ㄧㄡ2" + ], + "峴": [ + "ㄒㄧㄢ4" + ], + "峵": [ + "ㄖㄨㄥ2" + ], + "島": [ + "ㄉㄠ3" + ], + "峷": [ + "ㄕㄣ1" + ], + "峸": [ + "ㄔㄥ2" + ], + "峹": [ + "ㄊㄨ2" + ], + "峺": [ + "ㄍㄥ3" + ], + "峻": [ + "ㄐㄩㄣ4" + ], + "峼": [ + "ㄍㄠ4" + ], + "峽": [ + "ㄒㄧㄚ2" + ], + "峾": [ + "ㄧㄣ2" + ], + "峿": [ + "ㄩ3", + "ㄨ2" + ], + "崀": [ + "ㄌㄤ4", + "ㄌㄤ3" + ], + "崁": [ + "ㄎㄢ4" + ], + "崂": [ + "ㄌㄠ2" + ], + "崃": [ + "ㄌㄞ2" + ], + "崄": [ + "ㄒㄧㄢ3" + ], + "崅": [ + "ㄑㄩㄝ4" + ], + "崆": [ + "ㄎㄨㄥ1" + ], + "崇": [ + "ㄔㄨㄥ2" + ], + "崈": [ + "ㄔㄨㄥ2" + ], + "崉": [ + "ㄊㄚ4" + ], + "崊": [ + "ㄌㄧㄣ2" + ], + "崋": [ + "ㄏㄨㄚ4" + ], + "崌": [ + "ㄐㄩ1" + ], + "崍": [ + "ㄌㄞ2" + ], + "崎": [ + "ㄑㄧ2", + "ㄑㄧ3", + "ㄧ1" + ], + "崏": [ + "ㄇㄧㄣ2" + ], + "崐": [ + "ㄎㄨㄣ1" + ], + "崑": [ + "ㄎㄨㄣ1" + ], + "崒": [ + "ㄗㄨ2", + "ㄘㄨㄟ4" + ], + "崓": [ + "ㄍㄨ4" + ], + "崔": [ + "ㄘㄨㄟ1" + ], + "崕": [ + "ㄧㄚ2" + ], + "崖": [ + "ㄧㄚ2" + ], + "崗": [ + "ㄍㄤ3", + "ㄍㄤ1" + ], + "崘": [ + "ㄌㄨㄣ2" + ], + "崙": [ + "ㄌㄨㄣ2" + ], + "崚": [ + "ㄌㄥ2", + "ㄌㄧㄥ2" + ], + "崛": [ + "ㄐㄩㄝ2", + "ㄩ4" + ], + "崜": [ + "ㄉㄨㄛ1", + "ㄉㄨㄛ3" + ], + "崝": [ + "ㄓㄥ1" + ], + "崞": [ + "ㄍㄨㄛ1" + ], + "崟": [ + "ㄧㄣ2" + ], + "崠": [ + "ㄉㄨㄥ1", + "ㄉㄨㄥ4" + ], + "崡": [ + "ㄏㄢ2" + ], + "崢": [ + "ㄓㄥ1" + ], + "崣": [ + "ㄨㄟ3" + ], + "崤": [ + "ㄒㄧㄠ2", + "ㄧㄠ2" + ], + "崥": [ + "ㄆㄧ2", + "ㄅㄧ3" + ], + "崦": [ + "ㄧㄢ1" + ], + "崧": [ + "ㄙㄨㄥ1" + ], + "崨": [ + "ㄐㄧㄝ2" + ], + "崩": [ + "ㄅㄥ1" + ], + "崪": [ + "ㄗㄨ2" + ], + "崫": [ + "ㄎㄨ1", + "ㄐㄩㄝ2" + ], + "崬": [ + "ㄉㄨㄥ1" + ], + "崭": [ + "ㄓㄢ3" + ], + "崮": [ + "ㄍㄨ4" + ], + "崯": [ + "ㄧㄣ2" + ], + "崰": [ + "ㄗ1" + ], + "崱": [ + "ㄗㄜ4" + ], + "崲": [ + "ㄏㄨㄤ2" + ], + "崳": [ + "ㄩ2" + ], + "崴": [ + "ㄨㄞ3", + "ㄨㄟ1", + "ㄨㄟ3" + ], + "崵": [ + "ㄧㄤ2", + "ㄉㄤ4" + ], + "崶": [ + "ㄈㄥ1" + ], + "崷": [ + "ㄑㄧㄡ2" + ], + "崸": [ + "ㄧㄤ2" + ], + "崹": [ + "ㄊㄧ2" + ], + "崺": [ + "ㄧ3" + ], + "崻": [ + "ㄓ4" + ], + "崼": [ + "ㄕ4", + "ㄉㄧㄝ2" + ], + "崽": [ + "ㄗㄞ3" + ], + "崾": [ + "ㄧㄠ3", + "ㄧㄠ4" + ], + "崿": [ + "ㄜ4" + ], + "嵀": [ + "ㄓㄨ4" + ], + "嵁": [ + "ㄎㄢ1", + "ㄓㄢ4" + ], + "嵂": [ + "ㄌㄩ4" + ], + "嵃": [ + "ㄧㄢ3", + "ㄧㄢ4" + ], + "嵄": [ + "ㄇㄟ3" + ], + "嵅": [ + "ㄏㄢ2" + ], + "嵆": [ + "ㄐㄧ1" + ], + "嵇": [ + "ㄐㄧ1", + "ㄒㄧ2" + ], + "嵈": [ + "ㄏㄨㄢ4" + ], + "嵉": [ + "ㄊㄧㄥ2" + ], + "嵊": [ + "ㄕㄥ4", + "ㄔㄥ2" + ], + "嵋": [ + "ㄇㄟ2" + ], + "嵌": [ + "ㄑㄧㄢ4", + "ㄏㄢ3", + "ㄎㄢ4" + ], + "嵍": [ + "ㄨ4", + "ㄇㄠ2" + ], + "嵎": [ + "ㄩ2" + ], + "嵏": [ + "ㄗㄨㄥ1" + ], + "嵐": [ + "ㄌㄢ2" + ], + "嵑": [ + "ㄎㄜ3", + "ㄐㄧㄝ2" + ], + "嵒": [ + "ㄧㄢ2", + "ㄋㄧㄝ4" + ], + "嵓": [ + "ㄧㄢ2" + ], + "嵔": [ + "ㄨㄟ3" + ], + "嵕": [ + "ㄗㄨㄥ1" + ], + "嵖": [ + "ㄔㄚ2" + ], + "嵗": [ + "ㄙㄨㄟ4" + ], + "嵘": [ + "ㄖㄨㄥ2" + ], + "嵙": [ + "ㄎㄜ1" + ], + "嵚": [ + "ㄑㄧㄣ1" + ], + "嵛": [ + "ㄩ2" + ], + "嵜": [ + "ㄑㄧ2" + ], + "嵝": [ + "ㄌㄡ3" + ], + "嵞": [ + "ㄊㄨ2" + ], + "嵟": [ + "ㄉㄨㄟ1" + ], + "嵠": [ + "ㄒㄧ1" + ], + "嵡": [ + "ㄨㄥ3" + ], + "嵢": [ + "ㄘㄤ1" + ], + "嵣": [ + "ㄉㄤ4", + "ㄊㄤ2" + ], + "嵤": [ + "ㄖㄨㄥ2", + "ㄧㄥ2" + ], + "嵥": [ + "ㄐㄧㄝ2" + ], + "嵦": [ + "ㄎㄞ3", + "ㄞ2" + ], + "嵧": [ + "ㄌㄧㄡ2" + ], + "嵨": [ + "ㄨ4" + ], + "嵩": [ + "ㄙㄨㄥ1" + ], + "嵪": [ + "ㄑㄧㄠ1", + "ㄎㄠ1" + ], + "嵫": [ + "ㄗ1" + ], + "嵬": [ + "ㄨㄟ2", + "ㄨㄟ3" + ], + "嵭": [ + "ㄅㄥ1" + ], + "嵮": [ + "ㄉㄧㄢ1" + ], + "嵯": [ + "ㄘㄨㄛ2", + "ㄘ1" + ], + "嵰": [ + "ㄑㄧㄢ3" + ], + "嵱": [ + "ㄩㄥ3", + "ㄩㄥ2" + ], + "嵲": [ + "ㄋㄧㄝ4" + ], + "嵳": [ + "ㄘㄨㄛ2" + ], + "嵴": [ + "ㄐㄧ3", + "ㄐㄧ2" + ], + "嵵": [ + "ㄕ2" + ], + "嵶": [ + "ㄖㄨㄛ4" + ], + "嵷": [ + "ㄙㄨㄥ3" + ], + "嵸": [ + "ㄗㄨㄥ1" + ], + "嵹": [ + "ㄐㄧㄤ4" + ], + "嵺": [ + "ㄌㄧㄠ2", + "ㄐㄧㄠ1" + ], + "嵻": [ + "ㄎㄤ1" + ], + "嵼": [ + "ㄔㄢ3" + ], + "嵽": [ + "ㄉㄧㄝ2", + "ㄉㄧ4" + ], + "嵾": [ + "ㄘㄣ1", + "ㄘㄢ1" + ], + "嵿": [ + "ㄉㄧㄥ3" + ], + "嶀": [ + "ㄊㄨ1" + ], + "嶁": [ + "ㄌㄡ3" + ], + "嶂": [ + "ㄓㄤ4" + ], + "嶃": [ + "ㄓㄢ3" + ], + "嶄": [ + "ㄓㄢ3", + "ㄔㄢ2" + ], + "嶅": [ + "ㄠ2", + "ㄠ4" + ], + "嶆": [ + "ㄘㄠ2" + ], + "嶇": [ + "ㄑㄩ1" + ], + "嶈": [ + "ㄑㄧㄤ1" + ], + "嶉": [ + "ㄘㄨㄟ1", + "ㄗㄨㄟ3" + ], + "嶊": [ + "ㄗㄨㄟ3" + ], + "嶋": [ + "ㄉㄠ3" + ], + "嶌": [ + "ㄉㄠ3" + ], + "嶍": [ + "ㄒㄧ2" + ], + "嶎": [ + "ㄩ4" + ], + "嶏": [ + "ㄆㄟ4", + "ㄆㄧ3" + ], + "嶐": [ + "ㄌㄨㄥ2" + ], + "嶑": [ + "ㄒㄧㄤ4" + ], + "嶒": [ + "ㄘㄥ2", + "ㄓㄥ1" + ], + "嶓": [ + "ㄅㄛ1" + ], + "嶔": [ + "ㄑㄧㄣ1" + ], + "嶕": [ + "ㄐㄧㄠ1" + ], + "嶖": [ + "ㄧㄢ1" + ], + "嶗": [ + "ㄌㄠ2" + ], + "嶘": [ + "ㄓㄢ4" + ], + "嶙": [ + "ㄌㄧㄣ2", + "ㄌㄧㄣ3" + ], + "嶚": [ + "ㄌㄧㄠ2" + ], + "嶛": [ + "ㄌㄧㄠ2" + ], + "嶜": [ + "ㄐㄧㄣ1", + "ㄑㄧㄣ2" + ], + "嶝": [ + "ㄉㄥ4" + ], + "嶞": [ + "ㄉㄨㄛ4" + ], + "嶟": [ + "ㄗㄨㄣ1" + ], + "嶠": [ + "ㄐㄧㄠ4", + "ㄑㄧㄠ2" + ], + "嶡": [ + "ㄍㄨㄟ4", + "ㄐㄩㄝ2" + ], + "嶢": [ + "ㄧㄠ2" + ], + "嶣": [ + "ㄐㄧㄠ1" + ], + "嶤": [ + "ㄧㄠ2" + ], + "嶥": [ + "ㄐㄩㄝ2" + ], + "嶦": [ + "ㄓㄢ1", + "ㄕㄢ4" + ], + "嶧": [ + "ㄧ4" + ], + "嶨": [ + "ㄒㄩㄝ2" + ], + "嶩": [ + "ㄋㄠ2" + ], + "嶪": [ + "ㄧㄝ4" + ], + "嶫": [ + "ㄧㄝ4" + ], + "嶬": [ + "ㄧ2", + "ㄧ3" + ], + "嶭": [ + "ㄋㄧㄝ4" + ], + "嶮": [ + "ㄒㄧㄢ3", + "ㄧㄢ3" + ], + "嶯": [ + "ㄐㄧ2" + ], + "嶰": [ + "ㄒㄧㄝ4", + "ㄐㄧㄝ4" + ], + "嶱": [ + "ㄎㄜ3" + ], + "嶲": [ + "ㄒㄧ1" + ], + "嶳": [ + "ㄉㄧ4" + ], + "嶴": [ + "ㄠ4" + ], + "嶵": [ + "ㄗㄨㄟ3" + ], + "嶶": [ + "ㄨㄟ1" + ], + "嶷": [ + "ㄧ2", + "ㄋㄧ4" + ], + "嶸": [ + "ㄖㄨㄥ2" + ], + "嶹": [ + "ㄉㄠ3" + ], + "嶺": [ + "ㄌㄧㄥ3" + ], + "嶻": [ + "ㄐㄧㄝ2" + ], + "嶼": [ + "ㄩ3", + "ㄒㄩ4" + ], + "嶽": [ + "ㄩㄝ4" + ], + "嶾": [ + "ㄧㄣ3" + ], + "嶿": [ + "ㄖㄨ5" + ], + "巀": [ + "ㄐㄧㄝ2" + ], + "巁": [ + "ㄌㄧ4", + "ㄌㄧㄝ4" + ], + "巂": [ + "ㄍㄨㄟ1", + "ㄒㄧ1", + "ㄐㄩㄢ4" + ], + "巃": [ + "ㄌㄨㄥ2" + ], + "巄": [ + "ㄌㄨㄥ2" + ], + "巅": [ + "ㄉㄧㄢ1" + ], + "巆": [ + "ㄖㄨㄥ2", + "ㄏㄨㄥ1", + "ㄧㄥ2" + ], + "巇": [ + "ㄒㄧ1" + ], + "巈": [ + "ㄐㄩ2" + ], + "巉": [ + "ㄔㄢ2" + ], + "巊": [ + "ㄧㄥ3" + ], + "巋": [ + "ㄎㄨㄟ1", + "ㄎㄨㄟ4", + "ㄨㄟ3" + ], + "巌": [ + "ㄧㄢ2" + ], + "巍": [ + "ㄨㄟ1" + ], + "巎": [ + "ㄋㄠ2" + ], + "巏": [ + "ㄑㄩㄢ2" + ], + "巐": [ + "ㄔㄠ3" + ], + "巑": [ + "ㄘㄨㄢ2" + ], + "巒": [ + "ㄌㄨㄢ2" + ], + "巓": [ + "ㄉㄧㄢ1" + ], + "巔": [ + "ㄉㄧㄢ1" + ], + "巕": [ + "ㄋㄧㄝ4" + ], + "巖": [ + "ㄧㄢ2" + ], + "巗": [ + "ㄧㄢ2" + ], + "巘": [ + "ㄧㄢ3" + ], + "巙": [ + "ㄎㄨㄟ2", + "ㄋㄠ2" + ], + "巚": [ + "ㄧㄢ3" + ], + "巛": [ + "ㄔㄨㄢ1", + "ㄕㄨㄣ4" + ], + "巜": [ + "ㄎㄨㄞ4", + "ㄏㄨㄢ1" + ], + "川": [ + "ㄔㄨㄢ1" + ], + "州": [ + "ㄓㄡ1" + ], + "巟": [ + "ㄏㄨㄤ1" + ], + "巠": [ + "ㄐㄧㄥ1", + "ㄒㄧㄥ2" + ], + "巡": [ + "ㄒㄩㄣ2", + "ㄧㄢ2", + "ㄕㄨㄣ4" + ], + "巢": [ + "ㄔㄠ2", + "ㄔㄠ4" + ], + "巣": [ + "ㄔㄠ2" + ], + "巤": [ + "ㄌㄧㄝ4" + ], + "工": [ + "ㄍㄨㄥ1" + ], + "左": [ + "ㄗㄨㄛ3" + ], + "巧": [ + "ㄑㄧㄠ3" + ], + "巨": [ + "ㄐㄩ4", + "ㄑㄩ2" + ], + "巩": [ + "ㄍㄨㄥ3" + ], + "巪": [ + "ㄐㄩ4" + ], + "巫": [ + "ㄨ1" + ], + "巬": [ + "ㄆㄨ5" + ], + "巭": [ + "ㄆㄨ5" + ], + "差": [ + "ㄔㄚ4", + "ㄔㄚ1", + "ㄔㄞ1", + "ㄘ1", + "ㄔㄞ4", + "ㄘㄨㄛ1", + "ㄐㄧㄝ1" + ], + "巯": [ + "ㄑㄧㄡ2" + ], + "巰": [ + "ㄑㄧㄡ2" + ], + "己": [ + "ㄐㄧ3", + "ㄑㄧ3" + ], + "已": [ + "ㄧ3", + "ㄙ4" + ], + "巳": [ + "ㄙ4", + "ㄧ3" + ], + "巴": [ + "ㄅㄚ1" + ], + "巵": [ + "ㄓ1" + ], + "巶": [ + "ㄓㄠ1" + ], + "巷": [ + "ㄒㄧㄤ4", + "ㄏㄤ4" + ], + "巸": [ + "ㄧ2" + ], + "巹": [ + "ㄐㄧㄣ3" + ], + "巺": [ + "ㄒㄩㄣ4" + ], + "巻": [ + "ㄐㄩㄢ4" + ], + "巼": [ + "ㄅㄚ1" + ], + "巽": [ + "ㄒㄩㄣ4", + "ㄓㄨㄢ4" + ], + "巾": [ + "ㄐㄧㄣ1" + ], + "巿": [ + "ㄈㄨ2", + "ㄆㄛ2" + ], + "帀": [ + "ㄗㄚ1" + ], + "币": [ + "ㄅㄧ4", + "ㄧㄣ4" + ], + "市": [ + "ㄕ4", + "ㄈㄨ2" + ], + "布": [ + "ㄅㄨ4" + ], + "帄": [ + "ㄉㄧㄥ1" + ], + "帅": [ + "ㄕㄨㄞ4" + ], + "帆": [ + "ㄈㄢ1", + "ㄈㄢ2", + "ㄈㄢ4" + ], + "帇": [ + "ㄋㄧㄝ4" + ], + "师": [ + "ㄕ1" + ], + "帉": [ + "ㄈㄣ1" + ], + "帊": [ + "ㄆㄚ4", + "ㄆㄚ1" + ], + "帋": [ + "ㄓ3" + ], + "希": [ + "ㄒㄧ1" + ], + "帍": [ + "ㄏㄨ4" + ], + "帎": [ + "ㄉㄢ4" + ], + "帏": [ + "ㄨㄟ2" + ], + "帐": [ + "ㄓㄤ4" + ], + "帑": [ + "ㄊㄤ3", + "ㄋㄨ2" + ], + "帒": [ + "ㄉㄞ4" + ], + "帓": [ + "ㄇㄛ4", + "ㄨㄚ4" + ], + "帔": [ + "ㄆㄟ4", + "ㄆㄧ1" + ], + "帕": [ + "ㄆㄚ4", + "ㄇㄛ4" + ], + "帖": [ + "ㄊㄧㄝ1", + "ㄊㄧㄝ3", + "ㄊㄧㄝ4" + ], + "帗": [ + "ㄅㄛ1", + "ㄈㄨ2" + ], + "帘": [ + "ㄌㄧㄢ2", + "ㄔㄣ2" + ], + "帙": [ + "ㄓ4" + ], + "帚": [ + "ㄓㄡ3" + ], + "帛": [ + "ㄅㄛ2" + ], + "帜": [ + "ㄓ4" + ], + "帝": [ + "ㄉㄧ4" + ], + "帞": [ + "ㄇㄛ4" + ], + "帟": [ + "ㄧ4" + ], + "帠": [ + "ㄧ4" + ], + "帡": [ + "ㄆㄧㄥ2" + ], + "帢": [ + "ㄑㄧㄚ4" + ], + "帣": [ + "ㄐㄩㄢ3", + "ㄐㄩㄢ4" + ], + "帤": [ + "ㄖㄨ2" + ], + "帥": [ + "ㄕㄨㄞ4" + ], + "带": [ + "ㄉㄞ4" + ], + "帧": [ + "ㄓㄣ1", + "ㄓㄥ4" + ], + "帨": [ + "ㄕㄨㄟ4" + ], + "帩": [ + "ㄑㄧㄠ4" + ], + "帪": [ + "ㄓㄣ1" + ], + "師": [ + "ㄕ1" + ], + "帬": [ + "ㄑㄩㄣ2" + ], + "席": [ + "ㄒㄧ2" + ], + "帮": [ + "ㄅㄤ1" + ], + "帯": [ + "ㄉㄞ4" + ], + "帰": [ + "ㄍㄨㄟ1" + ], + "帱": [ + "ㄔㄡ2", + "ㄉㄠ4" + ], + "帲": [ + "ㄆㄧㄥ2" + ], + "帳": [ + "ㄓㄤ4" + ], + "帴": [ + "ㄙㄢ4", + "ㄐㄧㄢ3", + "ㄐㄧㄢ1" + ], + "帵": [ + "ㄨㄢ1" + ], + "帶": [ + "ㄉㄞ4" + ], + "帷": [ + "ㄨㄟ2" + ], + "常": [ + "ㄔㄤ2" + ], + "帹": [ + "ㄕㄚ4", + "ㄑㄧㄝ4" + ], + "帺": [ + "ㄑㄧ2", + "ㄐㄧ4" + ], + "帻": [ + "ㄗㄜ2" + ], + "帼": [ + "ㄍㄨㄛ2" + ], + "帽": [ + "ㄇㄠ4" + ], + "帾": [ + "ㄉㄨ3" + ], + "帿": [ + "ㄏㄡ2" + ], + "幀": [ + "ㄓㄥ4" + ], + "幁": [ + "ㄒㄩ1" + ], + "幂": [ + "ㄇㄧ4" + ], + "幃": [ + "ㄨㄟ2" + ], + "幄": [ + "ㄨㄛ4" + ], + "幅": [ + "ㄈㄨ2", + "ㄅㄧ1" + ], + "幆": [ + "ㄧ4", + "ㄎㄞ4" + ], + "幇": [ + "ㄅㄤ1" + ], + "幈": [ + "ㄆㄧㄥ2" + ], + "幉": [ + "ㄉㄧㄝ2" + ], + "幊": [ + "ㄍㄨㄥ1" + ], + "幋": [ + "ㄆㄢ2" + ], + "幌": [ + "ㄏㄨㄤ3" + ], + "幍": [ + "ㄊㄠ1" + ], + "幎": [ + "ㄇㄧ4" + ], + "幏": [ + "ㄐㄧㄚ4" + ], + "幐": [ + "ㄊㄥ2" + ], + "幑": [ + "ㄏㄨㄟ1" + ], + "幒": [ + "ㄓㄨㄥ1" + ], + "幓": [ + "ㄕㄢ1", + "ㄕㄣ1", + "ㄑㄧㄠ1" + ], + "幔": [ + "ㄇㄢ4" + ], + "幕": [ + "ㄇㄨ4", + "ㄇㄢ4" + ], + "幖": [ + "ㄅㄧㄠ1" + ], + "幗": [ + "ㄍㄨㄛ2" + ], + "幘": [ + "ㄗㄜ2", + "ㄘㄜ4" + ], + "幙": [ + "ㄇㄨ4" + ], + "幚": [ + "ㄅㄤ1" + ], + "幛": [ + "ㄓㄤ4" + ], + "幜": [ + "ㄐㄧㄥ3" + ], + "幝": [ + "ㄔㄢ3", + "ㄔㄢ4" + ], + "幞": [ + "ㄈㄨ2" + ], + "幟": [ + "ㄓ4" + ], + "幠": [ + "ㄏㄨ1", + "ㄨ2" + ], + "幡": [ + "ㄈㄢ1" + ], + "幢": [ + "ㄔㄨㄤ2", + "ㄓㄨㄤ4" + ], + "幣": [ + "ㄅㄧ4" + ], + "幤": [ + "ㄅㄧ4" + ], + "幥": [ + "ㄓㄤ3" + ], + "幦": [ + "ㄇㄧ4" + ], + "幧": [ + "ㄑㄧㄠ1" + ], + "幨": [ + "ㄔㄢ1", + "ㄔㄢ4" + ], + "幩": [ + "ㄈㄣ2", + "ㄈㄣ4" + ], + "幪": [ + "ㄇㄥ2", + "ㄇㄥ3" + ], + "幫": [ + "ㄅㄤ1" + ], + "幬": [ + "ㄔㄡ2", + "ㄉㄠ4" + ], + "幭": [ + "ㄇㄧㄝ4" + ], + "幮": [ + "ㄔㄨ2" + ], + "幯": [ + "ㄐㄧㄝ2" + ], + "幰": [ + "ㄒㄧㄢ3" + ], + "幱": [ + "ㄌㄢ2" + ], + "干": [ + "ㄍㄢ4", + "ㄍㄢ1", + "ㄢ4" + ], + "平": [ + "ㄆㄧㄥ2", + "ㄆㄧㄢ2", + "ㄅㄧㄥ4", + "ㄅㄥ1" + ], + "年": [ + "ㄋㄧㄢ2", + "ㄋㄧㄥ4" + ], + "幵": [ + "ㄐㄧㄢ1", + "ㄑㄧㄢ1" + ], + "并": [ + "ㄅㄧㄥ4", + "ㄅㄧㄥ1" + ], + "幷": [ + "ㄅㄧㄥ4", + "ㄅㄧㄥ1" + ], + "幸": [ + "ㄒㄧㄥ4", + "ㄋㄧㄝ4" + ], + "幹": [ + "ㄍㄢ4", + "ㄍㄢ1", + "ㄏㄢ2", + "ㄍㄨㄢ3" + ], + "幺": [ + "ㄧㄠ1", + "ㄇㄧ4" + ], + "幻": [ + "ㄏㄨㄢ4" + ], + "幼": [ + "ㄧㄡ4", + "ㄧㄠ4" + ], + "幽": [ + "ㄧㄡ1" + ], + "幾": [ + "ㄐㄧ3", + "ㄐㄧ1", + "ㄐㄧ4", + "ㄑㄧ2" + ], + "广": [ + "ㄍㄨㄤ3", + "ㄧㄢ3", + "ㄢ1" + ], + "庀": [ + "ㄆㄧ3" + ], + "庁": [ + "ㄊㄧㄥ1" + ], + "庂": [ + "ㄗㄜ4" + ], + "広": [ + "ㄍㄨㄤ3" + ], + "庄": [ + "ㄓㄨㄤ1", + "ㄆㄥ2" + ], + "庅": [ + "ㄇㄛ2" + ], + "庆": [ + "ㄑㄧㄥ4" + ], + "庇": [ + "ㄅㄧ4", + "ㄆㄧ2", + "ㄆㄧ3" + ], + "庈": [ + "ㄑㄧㄣ2" + ], + "庉": [ + "ㄉㄨㄣ4", + "ㄊㄨㄣ2" + ], + "床": [ + "ㄔㄨㄤ2" + ], + "庋": [ + "ㄍㄨㄟ3", + "ㄍㄨㄟ4" + ], + "庌": [ + "ㄧㄚ3", + "ㄧㄚ2" + ], + "庍": [ + "ㄅㄞ4", + "ㄒㄧㄣ4", + "ㄊㄧㄥ1" + ], + "庎": [ + "ㄐㄧㄝ4" + ], + "序": [ + "ㄒㄩ4" + ], + "庐": [ + "ㄌㄨ2" + ], + "庑": [ + "ㄨ3" + ], + "庒": [ + "ㄓㄨㄤ1" + ], + "库": [ + "ㄎㄨ4" + ], + "应": [ + "ㄧㄥ1", + "ㄧㄥ4" + ], + "底": [ + "ㄉㄧ3", + "ㄉㄜ5" + ], + "庖": [ + "ㄆㄠ2" + ], + "店": [ + "ㄉㄧㄢ4" + ], + "庘": [ + "ㄧㄚ1" + ], + "庙": [ + "ㄇㄧㄠ4" + ], + "庚": [ + "ㄍㄥ1" + ], + "庛": [ + "ㄘ4" + ], + "府": [ + "ㄈㄨ3" + ], + "庝": [ + "ㄊㄨㄥ2" + ], + "庞": [ + "ㄆㄤ2" + ], + "废": [ + "ㄈㄟ4" + ], + "庠": [ + "ㄒㄧㄤ2" + ], + "庡": [ + "ㄧ3" + ], + "庢": [ + "ㄓ4" + ], + "庣": [ + "ㄊㄧㄠ1" + ], + "庤": [ + "ㄓ4" + ], + "庥": [ + "ㄒㄧㄡ1" + ], + "度": [ + "ㄉㄨ4", + "ㄉㄨㄛ2", + "ㄓㄞ2" + ], + "座": [ + "ㄗㄨㄛ4" + ], + "庨": [ + "ㄒㄧㄠ1" + ], + "庩": [ + "ㄊㄨ2" + ], + "庪": [ + "ㄍㄨㄟ3" + ], + "庫": [ + "ㄎㄨ4" + ], + "庬": [ + "ㄇㄤ2", + "ㄇㄥ2" + ], + "庭": [ + "ㄊㄧㄥ2" + ], + "庮": [ + "ㄧㄡ3", + "ㄧㄡ2" + ], + "庯": [ + "ㄅㄨ1" + ], + "庰": [ + "ㄅㄧㄥ4", + "ㄅㄧㄥ3" + ], + "庱": [ + "ㄔㄥ3" + ], + "庲": [ + "ㄌㄞ2" + ], + "庳": [ + "ㄅㄧ4", + "ㄆㄧ2" + ], + "庴": [ + "ㄐㄧ2", + "ㄐㄧ1" + ], + "庵": [ + "ㄢ1", + "ㄧㄢ3", + "ㄜ4" + ], + "庶": [ + "ㄕㄨ4", + "ㄓㄨ4", + "ㄓㄜ1" + ], + "康": [ + "ㄎㄤ1", + "ㄎㄤ4" + ], + "庸": [ + "ㄩㄥ1", + "ㄩㄥ2" + ], + "庹": [ + "ㄊㄨㄛ3" + ], + "庺": [ + "ㄙㄨㄥ1" + ], + "庻": [ + "ㄕㄨ4" + ], + "庼": [ + "ㄑㄧㄥ3" + ], + "庽": [ + "ㄩ4" + ], + "庾": [ + "ㄩ3", + "ㄩ2" + ], + "庿": [ + "ㄇㄧㄠ4" + ], + "廀": [ + "ㄙㄡ1" + ], + "廁": [ + "ㄘㄜ4", + "ㄘ4", + "ㄗㄜ4", + "ㄙ5" + ], + "廂": [ + "ㄒㄧㄤ1" + ], + "廃": [ + "ㄈㄟ4" + ], + "廄": [ + "ㄐㄧㄡ4" + ], + "廅": [ + "ㄜ4" + ], + "廆": [ + "ㄍㄨㄟ1", + "ㄨㄟ3", + "ㄏㄨㄟ4" + ], + "廇": [ + "ㄌㄧㄡ4" + ], + "廈": [ + "ㄕㄚ4", + "ㄒㄧㄚ4" + ], + "廉": [ + "ㄌㄧㄢ2" + ], + "廊": [ + "ㄌㄤ2" + ], + "廋": [ + "ㄙㄡ1" + ], + "廌": [ + "ㄓ4" + ], + "廍": [ + "ㄅㄨ4" + ], + "廎": [ + "ㄑㄧㄥ3", + "ㄑㄧㄥ4", + "ㄑㄧㄥ1" + ], + "廏": [ + "ㄐㄧㄡ4" + ], + "廐": [ + "ㄐㄧㄡ4" + ], + "廑": [ + "ㄐㄧㄣ3", + "ㄑㄧㄣ2" + ], + "廒": [ + "ㄠ2" + ], + "廓": [ + "ㄎㄨㄛ4" + ], + "廔": [ + "ㄌㄡ2" + ], + "廕": [ + "ㄧㄣ4" + ], + "廖": [ + "ㄌㄧㄠ4", + "ㄌㄧㄠ2" + ], + "廗": [ + "ㄉㄞ4" + ], + "廘": [ + "ㄌㄨ4" + ], + "廙": [ + "ㄧ4" + ], + "廚": [ + "ㄔㄨ2" + ], + "廛": [ + "ㄔㄢ2" + ], + "廜": [ + "ㄊㄨ2" + ], + "廝": [ + "ㄙ1" + ], + "廞": [ + "ㄒㄧㄣ1", + "ㄑㄧㄢ4" + ], + "廟": [ + "ㄇㄧㄠ4" + ], + "廠": [ + "ㄔㄤ3" + ], + "廡": [ + "ㄨ3", + "ㄨ2" + ], + "廢": [ + "ㄈㄟ4" + ], + "廣": [ + "ㄍㄨㄤ3", + "ㄍㄨㄤ4", + "ㄎㄨㄤ4", + "ㄍㄨㄤ1" + ], + "廤": [ + "ㄎㄨ4" + ], + "廥": [ + "ㄎㄨㄞ4" + ], + "廦": [ + "ㄅㄧ4" + ], + "廧": [ + "ㄑㄧㄤ2", + "ㄙㄜ4" + ], + "廨": [ + "ㄒㄧㄝ4" + ], + "廩": [ + "ㄌㄧㄣ3", + "ㄌㄢ3" + ], + "廪": [ + "ㄌㄧㄣ3" + ], + "廫": [ + "ㄌㄧㄠ2" + ], + "廬": [ + "ㄌㄨ2", + "ㄌㄩ2" + ], + "廭": [ + "ㄐㄧ4" + ], + "廮": [ + "ㄧㄥ3" + ], + "廯": [ + "ㄒㄧㄢ1" + ], + "廰": [ + "ㄊㄧㄥ1" + ], + "廱": [ + "ㄩㄥ1" + ], + "廲": [ + "ㄌㄧ2" + ], + "廳": [ + "ㄊㄧㄥ1" + ], + "廴": [ + "ㄧㄣ3", + "ㄧㄣ4" + ], + "廵": [ + "ㄒㄩㄣ2" + ], + "延": [ + "ㄧㄢ2" + ], + "廷": [ + "ㄊㄧㄥ2" + ], + "廸": [ + "ㄉㄧ2" + ], + "廹": [ + "ㄆㄞ3", + "ㄆㄛ4" + ], + "建": [ + "ㄐㄧㄢ4" + ], + "廻": [ + "ㄏㄨㄟ2" + ], + "廼": [ + "ㄋㄞ3" + ], + "廽": [ + "ㄏㄨㄟ2" + ], + "廾": [ + "ㄍㄨㄥ3" + ], + "廿": [ + "ㄋㄧㄢ4" + ], + "开": [ + "ㄎㄞ1" + ], + "弁": [ + "ㄅㄧㄢ4", + "ㄆㄢ2" + ], + "异": [ + "ㄧ4", + "ㄧ2" + ], + "弃": [ + "ㄑㄧ4" + ], + "弄": [ + "ㄋㄨㄥ4", + "ㄌㄨㄥ4" + ], + "弅": [ + "ㄈㄣ4" + ], + "弆": [ + "ㄐㄩ3", + "ㄑㄩ3" + ], + "弇": [ + "ㄧㄢ3", + "ㄧㄢ1", + "ㄋㄢ2" + ], + "弈": [ + "ㄧ4" + ], + "弉": [ + "ㄗㄤ4" + ], + "弊": [ + "ㄅㄧ4" + ], + "弋": [ + "ㄧ4" + ], + "弌": [ + "ㄧ1" + ], + "弍": [ + "ㄦ4" + ], + "弎": [ + "ㄙㄢ1" + ], + "式": [ + "ㄕ4", + "ㄊㄜ4" + ], + "弐": [ + "ㄦ4" + ], + "弑": [ + "ㄕ4" + ], + "弒": [ + "ㄕ4" + ], + "弓": [ + "ㄍㄨㄥ1" + ], + "弔": [ + "ㄉㄧㄠ4", + "ㄉㄧ4" + ], + "引": [ + "ㄧㄣ3" + ], + "弖": [ + "ㄏㄨ4" + ], + "弗": [ + "ㄈㄨ2" + ], + "弘": [ + "ㄏㄨㄥ2" + ], + "弙": [ + "ㄨ1" + ], + "弚": [ + "ㄊㄨㄟ2" + ], + "弛": [ + "ㄔ2" + ], + "弜": [ + "ㄐㄧㄤ4" + ], + "弝": [ + "ㄅㄚ4" + ], + "弞": [ + "ㄕㄣ3" + ], + "弟": [ + "ㄉㄧ4", + "ㄊㄧ4", + "ㄊㄨㄟ2" + ], + "张": [ + "ㄓㄤ1" + ], + "弡": [ + "ㄐㄩㄝ2", + "ㄓㄤ1" + ], + "弢": [ + "ㄊㄠ1" + ], + "弣": [ + "ㄈㄨ3" + ], + "弤": [ + "ㄉㄧ3" + ], + "弥": [ + "ㄇㄧ2" + ], + "弦": [ + "ㄒㄧㄢ2" + ], + "弧": [ + "ㄏㄨ2" + ], + "弨": [ + "ㄔㄠ1" + ], + "弩": [ + "ㄋㄨ3" + ], + "弪": [ + "ㄐㄧㄥ4" + ], + "弫": [ + "ㄓㄣ3" + ], + "弬": [ + "ㄧ2" + ], + "弭": [ + "ㄇㄧ3" + ], + "弮": [ + "ㄑㄩㄢ1", + "ㄐㄩㄢ4" + ], + "弯": [ + "ㄨㄢ1" + ], + "弰": [ + "ㄕㄠ1" + ], + "弱": [ + "ㄖㄨㄛ4" + ], + "弲": [ + "ㄒㄩㄢ1", + "ㄩㄢ1" + ], + "弳": [ + "ㄐㄧㄥ4" + ], + "弴": [ + "ㄉㄧㄠ1" + ], + "張": [ + "ㄓㄤ1", + "ㄓㄤ4" + ], + "弶": [ + "ㄐㄧㄤ4" + ], + "強": [ + "ㄑㄧㄤ2", + "ㄐㄧㄤ4", + "ㄑㄧㄤ3" + ], + "弸": [ + "ㄆㄥ2", + "ㄆㄥ1" + ], + "弹": [ + "ㄉㄢ4", + "ㄊㄢ2" + ], + "强": [ + "ㄑㄧㄤ2", + "ㄐㄧㄤ4", + "ㄑㄧㄤ3" + ], + "弻": [ + "ㄅㄧ4" + ], + "弼": [ + "ㄅㄧ4" + ], + "弽": [ + "ㄕㄜ4" + ], + "弾": [ + "ㄉㄢ4" + ], + "弿": [ + "ㄐㄧㄢ3" + ], + "彀": [ + "ㄍㄡ4", + "ㄎㄡ1" + ], + "彁": [ + "ㄍㄜ1" + ], + "彂": [ + "ㄈㄚ1" + ], + "彃": [ + "ㄅㄧ4" + ], + "彄": [ + "ㄎㄡ1" + ], + "彅": [ + "ㄐㄧㄢ3" + ], + "彆": [ + "ㄅㄧㄝ4" + ], + "彇": [ + "ㄒㄧㄠ1" + ], + "彈": [ + "ㄉㄢ4", + "ㄊㄢ2" + ], + "彉": [ + "ㄍㄨㄛ1" + ], + "彊": [ + "ㄐㄧㄤ4", + "ㄑㄧㄤ2", + "ㄑㄧㄤ3", + "ㄐㄧㄤ1" + ], + "彋": [ + "ㄏㄨㄥ2" + ], + "彌": [ + "ㄇㄧ2", + "ㄇㄧ3", + "ㄋㄧ2" + ], + "彍": [ + "ㄍㄨㄛ1" + ], + "彎": [ + "ㄨㄢ1" + ], + "彏": [ + "ㄐㄩㄝ2" + ], + "彐": [ + "ㄐㄧ4" + ], + "彑": [ + "ㄐㄧ4" + ], + "归": [ + "ㄍㄨㄟ1" + ], + "当": [ + "ㄉㄤ1", + "ㄉㄤ4" + ], + "彔": [ + "ㄌㄨ4" + ], + "录": [ + "ㄌㄨ4" + ], + "彖": [ + "ㄊㄨㄢ4", + "ㄕ3" + ], + "彗": [ + "ㄏㄨㄟ4", + "ㄙㄨㄟ4" + ], + "彘": [ + "ㄓ4" + ], + "彙": [ + "ㄏㄨㄟ4" + ], + "彚": [ + "ㄏㄨㄟ4" + ], + "彛": [ + "ㄧ2" + ], + "彜": [ + "ㄧ2" + ], + "彝": [ + "ㄧ2" + ], + "彞": [ + "ㄧ2" + ], + "彟": [ + "ㄩㄝ1" + ], + "彠": [ + "ㄩㄝ1" + ], + "彡": [ + "ㄕㄢ1", + "ㄒㄧㄢ3" + ], + "形": [ + "ㄒㄧㄥ2" + ], + "彣": [ + "ㄨㄣ2" + ], + "彤": [ + "ㄊㄨㄥ2" + ], + "彥": [ + "ㄧㄢ4" + ], + "彦": [ + "ㄧㄢ4", + "ㄆㄢ2" + ], + "彧": [ + "ㄩ4" + ], + "彨": [ + "ㄔ1" + ], + "彩": [ + "ㄘㄞ3" + ], + "彪": [ + "ㄅㄧㄠ1" + ], + "彫": [ + "ㄉㄧㄠ1" + ], + "彬": [ + "ㄅㄧㄣ1", + "ㄅㄢ1" + ], + "彭": [ + "ㄆㄥ2", + "ㄆㄤ2", + "ㄅㄤ1", + "ㄆㄥ1" + ], + "彮": [ + "ㄩㄥ3" + ], + "彯": [ + "ㄆㄧㄠ1", + "ㄆㄧㄠ4", + "ㄇㄧㄠ3" + ], + "彰": [ + "ㄓㄤ1" + ], + "影": [ + "ㄧㄥ3" + ], + "彲": [ + "ㄔ1" + ], + "彳": [ + "ㄔ4", + "ㄈㄨ2" + ], + "彴": [ + "ㄓㄨㄛ2", + "ㄅㄛ2" + ], + "彵": [ + "ㄊㄨㄛ3", + "ㄧ2" + ], + "彶": [ + "ㄐㄧ2" + ], + "彷": [ + "ㄆㄤ2", + "ㄈㄤ3", + "ㄈㄤ2" + ], + "彸": [ + "ㄓㄨㄥ1" + ], + "役": [ + "ㄧ4" + ], + "彺": [ + "ㄨㄤ2" + ], + "彻": [ + "ㄔㄜ4" + ], + "彼": [ + "ㄅㄧ3" + ], + "彽": [ + "ㄉㄧ1" + ], + "彾": [ + "ㄌㄧㄥ2", + "ㄌㄧㄥ3" + ], + "彿": [ + "ㄈㄨ2" + ], + "往": [ + "ㄨㄤ3", + "ㄨㄤ4" + ], + "征": [ + "ㄓㄥ1" + ], + "徂": [ + "ㄘㄨ2" + ], + "徃": [ + "ㄨㄤ3" + ], + "径": [ + "ㄐㄧㄥ4" + ], + "待": [ + "ㄉㄞ4", + "ㄉㄞ1" + ], + "徆": [ + "ㄒㄧ1" + ], + "徇": [ + "ㄒㄩㄣ4" + ], + "很": [ + "ㄏㄣ3" + ], + "徉": [ + "ㄧㄤ2" + ], + "徊": [ + "ㄏㄨㄞ2", + "ㄏㄨㄟ2" + ], + "律": [ + "ㄌㄩ4" + ], + "後": [ + "ㄏㄡ4" + ], + "徍": [ + "ㄨㄤ3", + "ㄨㄚ1" + ], + "徎": [ + "ㄔㄥ3", + "ㄓㄥ4" + ], + "徏": [ + "ㄓ4" + ], + "徐": [ + "ㄒㄩ2" + ], + "徑": [ + "ㄐㄧㄥ4", + "ㄐㄧㄥ1" + ], + "徒": [ + "ㄊㄨ2" + ], + "従": [ + "ㄘㄨㄥ2" + ], + "徔": [ + "ㄓ5" + ], + "徕": [ + "ㄌㄞ2", + "ㄌㄞ4" + ], + "徖": [ + "ㄘㄨㄥ2" + ], + "得": [ + "ㄉㄜ2", + "ㄉㄜ5", + "ㄉㄟ3" + ], + "徘": [ + "ㄆㄞ2" + ], + "徙": [ + "ㄒㄧ3", + "ㄙ1" + ], + "徚": [ + "ㄉㄨㄥ1" + ], + "徛": [ + "ㄐㄧ4" + ], + "徜": [ + "ㄔㄤ2" + ], + "徝": [ + "ㄓ4" + ], + "從": [ + "ㄘㄨㄥ2", + "ㄗㄨㄥ4", + "ㄗㄨㄥ1", + "ㄘㄨㄥ1", + "ㄗㄨㄥ3" + ], + "徟": [ + "ㄓㄡ1" + ], + "徠": [ + "ㄌㄞ2", + "ㄌㄞ4" + ], + "御": [ + "ㄩ4", + "ㄧㄚ4" + ], + "徢": [ + "ㄒㄧㄝ4" + ], + "徣": [ + "ㄐㄧㄝ4" + ], + "徤": [ + "ㄐㄧㄢ4" + ], + "徥": [ + "ㄕ4", + "ㄊㄧ3" + ], + "徦": [ + "ㄐㄧㄚ3", + "ㄒㄧㄚ2" + ], + "徧": [ + "ㄅㄧㄢ4", + "ㄆㄧㄢ2", + "ㄆㄧㄢ1" + ], + "徨": [ + "ㄏㄨㄤ2" + ], + "復": [ + "ㄈㄨ4" + ], + "循": [ + "ㄒㄩㄣ2" + ], + "徫": [ + "ㄨㄟ3" + ], + "徬": [ + "ㄆㄤ2", + "ㄅㄤ4" + ], + "徭": [ + "ㄧㄠ2" + ], + "微": [ + "ㄨㄟ1" + ], + "徯": [ + "ㄒㄧ1", + "ㄒㄧ2" + ], + "徰": [ + "ㄓㄥ1" + ], + "徱": [ + "ㄆㄧㄠ4" + ], + "徲": [ + "ㄊㄧ2", + "ㄔ2" + ], + "徳": [ + "ㄉㄜ2" + ], + "徴": [ + "ㄓㄥ1" + ], + "徵": [ + "ㄓㄥ1", + "ㄓ3", + "ㄔㄥ2" + ], + "徶": [ + "ㄅㄧㄝ2" + ], + "德": [ + "ㄉㄜ2" + ], + "徸": [ + "ㄔㄨㄥ1", + "ㄓㄨㄥ1", + "ㄓㄨㄥ3" + ], + "徹": [ + "ㄔㄜ4" + ], + "徺": [ + "ㄐㄧㄠ3" + ], + "徻": [ + "ㄏㄨㄟ4" + ], + "徼": [ + "ㄐㄧㄠ3", + "ㄐㄧㄠ4", + "ㄐㄧㄠ1", + "ㄧㄠ1" + ], + "徽": [ + "ㄏㄨㄟ1" + ], + "徾": [ + "ㄇㄟ2" + ], + "徿": [ + "ㄌㄨㄥ4", + "ㄌㄨㄥ3" + ], + "忀": [ + "ㄒㄧㄤ1", + "ㄖㄤ3" + ], + "忁": [ + "ㄅㄠ4" + ], + "忂": [ + "ㄑㄩ2", + "ㄐㄩ4" + ], + "心": [ + "ㄒㄧㄣ1" + ], + "忄": [ + "ㄒㄧㄣ5" + ], + "必": [ + "ㄅㄧ4" + ], + "忆": [ + "ㄧ4" + ], + "忇": [ + "ㄌㄜ4" + ], + "忈": [ + "ㄖㄣ2" + ], + "忉": [ + "ㄉㄠ1" + ], + "忊": [ + "ㄉㄧㄥ4", + "ㄊㄧㄥ4" + ], + "忋": [ + "ㄍㄞ3" + ], + "忌": [ + "ㄐㄧ4" + ], + "忍": [ + "ㄖㄣ3", + "ㄖㄣ4" + ], + "忎": [ + "ㄖㄣ2" + ], + "忏": [ + "ㄔㄢ4", + "ㄑㄧㄢ3", + "ㄑㄧㄢ1" + ], + "忐": [ + "ㄊㄢ3", + "ㄎㄥ3" + ], + "忑": [ + "ㄊㄜ4", + "ㄉㄠ3" + ], + "忒": [ + "ㄊㄜ4", + "ㄊㄨㄟ1", + "ㄊㄟ1" + ], + "忓": [ + "ㄍㄢ1", + "ㄏㄢ4" + ], + "忔": [ + "ㄑㄧ4", + "ㄧ4" + ], + "忕": [ + "ㄕ4", + "ㄊㄞ4" + ], + "忖": [ + "ㄘㄨㄣ3" + ], + "志": [ + "ㄓ4" + ], + "忘": [ + "ㄨㄤ4", + "ㄨㄤ2" + ], + "忙": [ + "ㄇㄤ2" + ], + "忚": [ + "ㄒㄧ1", + "ㄌㄧㄝ3" + ], + "忛": [ + "ㄈㄢ1" + ], + "応": [ + "ㄧㄥ1" + ], + "忝": [ + "ㄊㄧㄢ3" + ], + "忞": [ + "ㄇㄧㄣ2", + "ㄨㄣ3" + ], + "忟": [ + "ㄨㄣ3" + ], + "忠": [ + "ㄓㄨㄥ1" + ], + "忡": [ + "ㄔㄨㄥ1" + ], + "忢": [ + "ㄨ4" + ], + "忣": [ + "ㄐㄧ2" + ], + "忤": [ + "ㄨ3", + "ㄨ4" + ], + "忥": [ + "ㄒㄧ4" + ], + "忦": [ + "ㄐㄧㄚ2" + ], + "忧": [ + "ㄧㄡ1", + "ㄧㄡ4" + ], + "忨": [ + "ㄨㄢ4", + "ㄨㄢ2" + ], + "忩": [ + "ㄘㄨㄥ1" + ], + "忪": [ + "ㄙㄨㄥ1", + "ㄓㄨㄥ1" + ], + "快": [ + "ㄎㄨㄞ4" + ], + "忬": [ + "ㄩ4", + "ㄕㄨ1" + ], + "忭": [ + "ㄅㄧㄢ4" + ], + "忮": [ + "ㄓ4", + "ㄑㄧ2" + ], + "忯": [ + "ㄑㄧ2", + "ㄕ4" + ], + "忰": [ + "ㄘㄨㄟ4" + ], + "忱": [ + "ㄔㄣ2", + "ㄉㄢ4" + ], + "忲": [ + "ㄊㄞ4" + ], + "忳": [ + "ㄊㄨㄣ2", + "ㄓㄨㄣ1", + "ㄉㄨㄣ4" + ], + "忴": [ + "ㄑㄧㄢ2", + "ㄑㄧㄣ2" + ], + "念": [ + "ㄋㄧㄢ4" + ], + "忶": [ + "ㄏㄨㄣ2" + ], + "忷": [ + "ㄒㄩㄥ1" + ], + "忸": [ + "ㄋㄧㄡ3" + ], + "忹": [ + "ㄎㄨㄤ2", + "ㄨㄤ3" + ], + "忺": [ + "ㄒㄧㄢ1" + ], + "忻": [ + "ㄒㄧㄣ1" + ], + "忼": [ + "ㄎㄤ1", + "ㄏㄤ1", + "ㄏㄤ4" + ], + "忽": [ + "ㄏㄨ1" + ], + "忾": [ + "ㄎㄞ4", + "ㄑㄧ4" + ], + "忿": [ + "ㄈㄣ4" + ], + "怀": [ + "ㄏㄨㄞ2", + "ㄈㄨ4" + ], + "态": [ + "ㄊㄞ4" + ], + "怂": [ + "ㄙㄨㄥ3" + ], + "怃": [ + "ㄨ3" + ], + "怄": [ + "ㄡ4" + ], + "怅": [ + "ㄔㄤ4" + ], + "怆": [ + "ㄔㄨㄤ4" + ], + "怇": [ + "ㄐㄩ4" + ], + "怈": [ + "ㄧ4" + ], + "怉": [ + "ㄅㄠ3", + "ㄅㄠ4" + ], + "怊": [ + "ㄔㄠ1" + ], + "怋": [ + "ㄇㄧㄣ2", + "ㄇㄣ2" + ], + "怌": [ + "ㄆㄟ1" + ], + "怍": [ + "ㄗㄨㄛ4", + "ㄓㄚ4" + ], + "怎": [ + "ㄗㄣ3" + ], + "怏": [ + "ㄧㄤ4", + "ㄧㄤ1" + ], + "怐": [ + "ㄐㄩ4", + "ㄎㄡ4" + ], + "怑": [ + "ㄅㄢ4" + ], + "怒": [ + "ㄋㄨ4" + ], + "怓": [ + "ㄋㄠ2", + "ㄋㄧㄡ2" + ], + "怔": [ + "ㄓㄥ1", + "ㄓㄥ4" + ], + "怕": [ + "ㄆㄚ4", + "ㄅㄛ2" + ], + "怖": [ + "ㄅㄨ4" + ], + "怗": [ + "ㄊㄧㄝ1", + "ㄓㄢ1" + ], + "怘": [ + "ㄏㄨ4", + "ㄍㄨ4" + ], + "怙": [ + "ㄏㄨ4", + "ㄊㄧㄝ1" + ], + "怚": [ + "ㄐㄩ4", + "ㄑㄩ1", + "ㄘㄨ1", + "ㄗㄨ1" + ], + "怛": [ + "ㄉㄚ2", + "ㄉㄢ4" + ], + "怜": [ + "ㄌㄧㄢ2", + "ㄌㄧㄥ2", + "ㄌㄧㄥ3" + ], + "思": [ + "ㄙ1", + "ㄙㄞ1" + ], + "怞": [ + "ㄔㄡ2", + "ㄧㄡ2" + ], + "怟": [ + "ㄉㄧ4" + ], + "怠": [ + "ㄉㄞ4", + "ㄧ2" + ], + "怡": [ + "ㄧ2" + ], + "怢": [ + "ㄊㄨ1", + "ㄉㄧㄝ2", + "ㄊㄨㄟ4" + ], + "怣": [ + "ㄧㄡ2" + ], + "怤": [ + "ㄈㄨ1" + ], + "急": [ + "ㄐㄧ2" + ], + "怦": [ + "ㄆㄥ1" + ], + "性": [ + "ㄒㄧㄥ4" + ], + "怨": [ + "ㄩㄢ4", + "ㄩㄣ4" + ], + "怩": [ + "ㄋㄧ2" + ], + "怪": [ + "ㄍㄨㄞ4" + ], + "怫": [ + "ㄈㄨ2", + "ㄈㄟ4", + "ㄅㄟ4" + ], + "怬": [ + "ㄒㄧ4" + ], + "怭": [ + "ㄅㄧ4" + ], + "怮": [ + "ㄧㄡ1", + "ㄧㄠ4" + ], + "怯": [ + "ㄑㄧㄝ4" + ], + "怰": [ + "ㄒㄩㄢ4" + ], + "怱": [ + "ㄘㄨㄥ1" + ], + "怲": [ + "ㄅㄧㄥ3" + ], + "怳": [ + "ㄏㄨㄤ3" + ], + "怴": [ + "ㄒㄩ4", + "ㄒㄩㄝ4" + ], + "怵": [ + "ㄔㄨ4", + "ㄒㄩ4" + ], + "怶": [ + "ㄅㄧ4", + "ㄆㄧ1" + ], + "怷": [ + "ㄕㄨ4" + ], + "怸": [ + "ㄒㄧ1" + ], + "怹": [ + "ㄊㄢ1" + ], + "怺": [ + "ㄩㄥ3" + ], + "总": [ + "ㄗㄨㄥ3" + ], + "怼": [ + "ㄉㄨㄟ4" + ], + "怽": [ + "ㄇㄛ5" + ], + "怾": [ + "ㄓ3" + ], + "怿": [ + "ㄧ4" + ], + "恀": [ + "ㄕ4" + ], + "恁": [ + "ㄋㄣ4", + "ㄖㄣ4", + "ㄋㄧㄣ2" + ], + "恂": [ + "ㄒㄩㄣ2", + "ㄕㄨㄣ4" + ], + "恃": [ + "ㄕ4", + "ㄓ4" + ], + "恄": [ + "ㄒㄧ4" + ], + "恅": [ + "ㄌㄠ3" + ], + "恆": [ + "ㄏㄥ2", + "ㄍㄥ4" + ], + "恇": [ + "ㄎㄨㄤ1" + ], + "恈": [ + "ㄇㄡ2" + ], + "恉": [ + "ㄓ3" + ], + "恊": [ + "ㄒㄧㄝ2" + ], + "恋": [ + "ㄌㄧㄢ4" + ], + "恌": [ + "ㄊㄧㄠ1", + "ㄧㄠ2" + ], + "恍": [ + "ㄏㄨㄤ3", + "ㄍㄨㄤ1" + ], + "恎": [ + "ㄉㄧㄝ2" + ], + "恏": [ + "ㄏㄠ4" + ], + "恐": [ + "ㄎㄨㄥ3" + ], + "恑": [ + "ㄍㄨㄟ3", + "ㄨㄟ2" + ], + "恒": [ + "ㄏㄥ2" + ], + "恓": [ + "ㄒㄧ1", + "ㄑㄧ1", + "ㄒㄩ4" + ], + "恔": [ + "ㄐㄧㄠ3", + "ㄒㄧㄠ4" + ], + "恕": [ + "ㄕㄨ4" + ], + "恖": [ + "ㄙ1" + ], + "恗": [ + "ㄏㄨ1", + "ㄎㄨㄚ1" + ], + "恘": [ + "ㄑㄧㄡ1" + ], + "恙": [ + "ㄧㄤ4" + ], + "恚": [ + "ㄏㄨㄟ4" + ], + "恛": [ + "ㄏㄨㄟ2" + ], + "恜": [ + "ㄔ4" + ], + "恝": [ + "ㄐㄧㄚ2", + "ㄑㄧ4" + ], + "恞": [ + "ㄧ2" + ], + "恟": [ + "ㄒㄩㄥ1" + ], + "恠": [ + "ㄍㄨㄞ4" + ], + "恡": [ + "ㄌㄧㄣ4" + ], + "恢": [ + "ㄏㄨㄟ1" + ], + "恣": [ + "ㄗ4" + ], + "恤": [ + "ㄒㄩ4" + ], + "恥": [ + "ㄔ3" + ], + "恦": [ + "ㄕㄤ4" + ], + "恧": [ + "ㄋㄩ4" + ], + "恨": [ + "ㄏㄣ4" + ], + "恩": [ + "ㄣ1" + ], + "恪": [ + "ㄎㄜ4" + ], + "恫": [ + "ㄉㄨㄥ4", + "ㄊㄨㄥ1" + ], + "恬": [ + "ㄊㄧㄢ2" + ], + "恭": [ + "ㄍㄨㄥ1" + ], + "恮": [ + "ㄑㄩㄢ1", + "ㄓㄨㄢ1" + ], + "息": [ + "ㄒㄧ1" + ], + "恰": [ + "ㄑㄧㄚ4" + ], + "恱": [ + "ㄩㄝ4" + ], + "恲": [ + "ㄆㄥ1" + ], + "恳": [ + "ㄎㄣ3" + ], + "恴": [ + "ㄉㄜ2" + ], + "恵": [ + "ㄏㄨㄟ4" + ], + "恶": [ + "ㄜ4", + "ㄜ3", + "ㄨ4", + "ㄨ1" + ], + "恷": [ + "ㄒㄧㄠ5" + ], + "恸": [ + "ㄊㄨㄥ4" + ], + "恹": [ + "ㄧㄢ1" + ], + "恺": [ + "ㄎㄞ3" + ], + "恻": [ + "ㄘㄜ4" + ], + "恼": [ + "ㄋㄠ3" + ], + "恽": [ + "ㄩㄣ4" + ], + "恾": [ + "ㄇㄤ2" + ], + "恿": [ + "ㄩㄥ3", + "ㄊㄨㄥ1" + ], + "悀": [ + "ㄩㄥ3" + ], + "悁": [ + "ㄩㄢ1", + "ㄐㄩㄢ4" + ], + "悂": [ + "ㄆㄧ1", + "ㄅㄧ1", + "ㄆㄧ3" + ], + "悃": [ + "ㄎㄨㄣ3" + ], + "悄": [ + "ㄑㄧㄠ1", + "ㄑㄧㄠ3", + "ㄑㄧㄠ4" + ], + "悅": [ + "ㄩㄝ4" + ], + "悆": [ + "ㄩ4", + "ㄕㄨ1" + ], + "悇": [ + "ㄊㄨ2", + "ㄩ2" + ], + "悈": [ + "ㄐㄧㄝ4", + "ㄎㄜ4" + ], + "悉": [ + "ㄒㄧ1" + ], + "悊": [ + "ㄓㄜ2" + ], + "悋": [ + "ㄌㄧㄣ4" + ], + "悌": [ + "ㄊㄧ4" + ], + "悍": [ + "ㄏㄢ4" + ], + "悎": [ + "ㄏㄠ4", + "ㄐㄧㄠ4" + ], + "悏": [ + "ㄑㄧㄝ4" + ], + "悐": [ + "ㄊㄧ4" + ], + "悑": [ + "ㄅㄨ4" + ], + "悒": [ + "ㄧ4" + ], + "悓": [ + "ㄑㄧㄢ4" + ], + "悔": [ + "ㄏㄨㄟ3" + ], + "悕": [ + "ㄒㄧ1" + ], + "悖": [ + "ㄅㄟ4", + "ㄅㄟ3" + ], + "悗": [ + "ㄇㄢ2", + "ㄇㄣ4" + ], + "悘": [ + "ㄧ1", + "ㄧ4" + ], + "悙": [ + "ㄏㄥ1", + "ㄏㄥ4" + ], + "悚": [ + "ㄙㄨㄥ3" + ], + "悛": [ + "ㄑㄩㄢ1", + "ㄒㄩㄣ2" + ], + "悜": [ + "ㄔㄥ3" + ], + "悝": [ + "ㄎㄨㄟ1", + "ㄌㄧ3" + ], + "悞": [ + "ㄨ4" + ], + "悟": [ + "ㄨ4" + ], + "悠": [ + "ㄧㄡ1" + ], + "悡": [ + "ㄌㄧ2" + ], + "悢": [ + "ㄌㄧㄤ4", + "ㄌㄤ3" + ], + "患": [ + "ㄏㄨㄢ4" + ], + "悤": [ + "ㄘㄨㄥ1" + ], + "悥": [ + "ㄧ4" + ], + "悦": [ + "ㄩㄝ4" + ], + "悧": [ + "ㄌㄧ4" + ], + "您": [ + "ㄋㄧㄣ2" + ], + "悩": [ + "ㄋㄠ3" + ], + "悪": [ + "ㄜ4" + ], + "悫": [ + "ㄑㄩㄝ4" + ], + "悬": [ + "ㄒㄩㄢ2" + ], + "悭": [ + "ㄑㄧㄢ1" + ], + "悮": [ + "ㄨ4" + ], + "悯": [ + "ㄇㄧㄣ3" + ], + "悰": [ + "ㄘㄨㄥ2" + ], + "悱": [ + "ㄈㄟ3" + ], + "悲": [ + "ㄅㄟ1" + ], + "悳": [ + "ㄉㄜ2" + ], + "悴": [ + "ㄘㄨㄟ4" + ], + "悵": [ + "ㄔㄤ4" + ], + "悶": [ + "ㄇㄣ4", + "ㄇㄣ1" + ], + "悷": [ + "ㄌㄧ4" + ], + "悸": [ + "ㄐㄧ4" + ], + "悹": [ + "ㄍㄨㄢ4" + ], + "悺": [ + "ㄍㄨㄢ4" + ], + "悻": [ + "ㄒㄧㄥ4" + ], + "悼": [ + "ㄉㄠ4" + ], + "悽": [ + "ㄑㄧ1", + "ㄑㄧ4" + ], + "悾": [ + "ㄎㄨㄥ1", + "ㄎㄨㄥ3" + ], + "悿": [ + "ㄊㄧㄢ3" + ], + "惀": [ + "ㄌㄨㄣ2", + "ㄌㄨㄣ4" + ], + "惁": [ + "ㄒㄧ1" + ], + "惂": [ + "ㄎㄢ3" + ], + "惃": [ + "ㄍㄨㄣ3" + ], + "惄": [ + "ㄋㄧ4" + ], + "情": [ + "ㄑㄧㄥ2" + ], + "惆": [ + "ㄔㄡ2", + "ㄑㄧㄡ1", + "ㄉㄠ1" + ], + "惇": [ + "ㄉㄨㄣ1" + ], + "惈": [ + "ㄍㄨㄛ3" + ], + "惉": [ + "ㄓㄢ1" + ], + "惊": [ + "ㄐㄧㄥ1", + "ㄌㄧㄤ2" + ], + "惋": [ + "ㄨㄢ3" + ], + "惌": [ + "ㄩㄢ1", + "ㄨㄢ3", + "ㄩ4" + ], + "惍": [ + "ㄐㄧㄣ1" + ], + "惎": [ + "ㄐㄧ4" + ], + "惏": [ + "ㄌㄢ2", + "ㄌㄧㄣ2" + ], + "惐": [ + "ㄩ4", + "ㄒㄩ4" + ], + "惑": [ + "ㄏㄨㄛ4" + ], + "惒": [ + "ㄏㄜ2" + ], + "惓": [ + "ㄑㄩㄢ2", + "ㄐㄩㄢ4" + ], + "惔": [ + "ㄊㄢ2", + "ㄉㄢ4" + ], + "惕": [ + "ㄊㄧ4" + ], + "惖": [ + "ㄊㄧ4" + ], + "惗": [ + "ㄋㄧㄝ4" + ], + "惘": [ + "ㄨㄤ3" + ], + "惙": [ + "ㄔㄨㄛ4", + "ㄔㄨㄟ4" + ], + "惚": [ + "ㄏㄨ1" + ], + "惛": [ + "ㄏㄨㄣ1", + "ㄏㄨㄣ3", + "ㄇㄣ4" + ], + "惜": [ + "ㄒㄧ1" + ], + "惝": [ + "ㄔㄤ3", + "ㄊㄤ3" + ], + "惞": [ + "ㄒㄧㄣ1" + ], + "惟": [ + "ㄨㄟ2", + "ㄨㄟ3" + ], + "惠": [ + "ㄏㄨㄟ4" + ], + "惡": [ + "ㄜ4", + "ㄨ4", + "ㄨ1", + "ㄜ3", + "ㄏㄨ1" + ], + "惢": [ + "ㄙㄨㄛ3", + "ㄖㄨㄟ3" + ], + "惣": [ + "ㄗㄨㄥ3" + ], + "惤": [ + "ㄐㄧㄢ1" + ], + "惥": [ + "ㄩㄥ3" + ], + "惦": [ + "ㄉㄧㄢ4" + ], + "惧": [ + "ㄐㄩ4" + ], + "惨": [ + "ㄘㄢ3" + ], + "惩": [ + "ㄔㄥ2" + ], + "惪": [ + "ㄉㄜ2" + ], + "惫": [ + "ㄅㄟ4" + ], + "惬": [ + "ㄑㄧㄝ4" + ], + "惭": [ + "ㄘㄢ2" + ], + "惮": [ + "ㄉㄢ4" + ], + "惯": [ + "ㄍㄨㄢ4" + ], + "惰": [ + "ㄉㄨㄛ4", + "ㄊㄨㄛ2" + ], + "惱": [ + "ㄋㄠ3" + ], + "惲": [ + "ㄩㄣ4" + ], + "想": [ + "ㄒㄧㄤ3" + ], + "惴": [ + "ㄓㄨㄟ4", + "ㄔㄨㄢ3", + "ㄍㄨㄚ4" + ], + "惵": [ + "ㄉㄧㄝ2", + "ㄊㄧㄝ1" + ], + "惶": [ + "ㄏㄨㄤ2" + ], + "惷": [ + "ㄔㄨㄣ3" + ], + "惸": [ + "ㄑㄩㄥ2" + ], + "惹": [ + "ㄖㄜ3", + "ㄖㄨㄛ4" + ], + "惺": [ + "ㄒㄧㄥ1" + ], + "惻": [ + "ㄘㄜ4" + ], + "惼": [ + "ㄅㄧㄢ3" + ], + "惽": [ + "ㄇㄧㄣ3", + "ㄏㄨㄣ1" + ], + "惾": [ + "ㄗㄨㄥ1" + ], + "惿": [ + "ㄊㄧ2", + "ㄕ4" + ], + "愀": [ + "ㄑㄧㄠ3", + "ㄑㄧㄡ4" + ], + "愁": [ + "ㄔㄡ2", + "ㄑㄧㄠ3", + "ㄐㄧㄡ1" + ], + "愂": [ + "ㄅㄟ4" + ], + "愃": [ + "ㄒㄩㄢ1" + ], + "愄": [ + "ㄨㄟ1" + ], + "愅": [ + "ㄍㄜ2" + ], + "愆": [ + "ㄑㄧㄢ1" + ], + "愇": [ + "ㄨㄟ3" + ], + "愈": [ + "ㄩ4" + ], + "愉": [ + "ㄩ2", + "ㄊㄡ1", + "ㄩ3" + ], + "愊": [ + "ㄅㄧ4" + ], + "愋": [ + "ㄒㄩㄢ1" + ], + "愌": [ + "ㄏㄨㄢ4" + ], + "愍": [ + "ㄇㄧㄣ3", + "ㄈㄣ1" + ], + "愎": [ + "ㄅㄧ4" + ], + "意": [ + "ㄧ4", + "ㄧ1" + ], + "愐": [ + "ㄇㄧㄢ3" + ], + "愑": [ + "ㄩㄥ3" + ], + "愒": [ + "ㄎㄞ4", + "ㄑㄧ4", + "ㄏㄜ4" + ], + "愓": [ + "ㄉㄤ4", + "ㄕㄤ1", + "ㄊㄤ2", + "ㄧㄤ2" + ], + "愔": [ + "ㄧㄣ1" + ], + "愕": [ + "ㄜ4" + ], + "愖": [ + "ㄔㄣ2", + "ㄉㄢ1", + "ㄒㄧㄣ4" + ], + "愗": [ + "ㄇㄠ4" + ], + "愘": [ + "ㄑㄧㄚ4", + "ㄑㄧㄚ1", + "ㄎㄜ4" + ], + "愙": [ + "ㄎㄜ4" + ], + "愚": [ + "ㄩ2" + ], + "愛": [ + "ㄞ4" + ], + "愜": [ + "ㄑㄧㄝ4" + ], + "愝": [ + "ㄧㄢ3" + ], + "愞": [ + "ㄋㄨㄛ4" + ], + "感": [ + "ㄍㄢ3", + "ㄏㄢ4" + ], + "愠": [ + "ㄩㄣ4", + "ㄩㄣ3", + "ㄨㄣ3" + ], + "愡": [ + "ㄗㄨㄥ3" + ], + "愢": [ + "ㄙㄞ1", + "ㄙ1", + "ㄙ3" + ], + "愣": [ + "ㄌㄥ4" + ], + "愤": [ + "ㄈㄣ4" + ], + "愥": [ + "ㄧㄥ1" + ], + "愦": [ + "ㄎㄨㄟ4" + ], + "愧": [ + "ㄎㄨㄟ4" + ], + "愨": [ + "ㄑㄩㄝ4" + ], + "愩": [ + "ㄍㄨㄥ1", + "ㄍㄨㄥ4", + "ㄏㄨㄥ3" + ], + "愪": [ + "ㄩㄣ2" + ], + "愫": [ + "ㄙㄨ4" + ], + "愬": [ + "ㄙㄨ4", + "ㄙㄜ4" + ], + "愭": [ + "ㄑㄧ2" + ], + "愮": [ + "ㄧㄠ2", + "ㄧㄠ4" + ], + "愯": [ + "ㄙㄨㄥ3" + ], + "愰": [ + "ㄏㄨㄤ4", + "ㄏㄨㄤ3" + ], + "愱": [ + "ㄐㄧ2" + ], + "愲": [ + "ㄍㄨ3" + ], + "愳": [ + "ㄐㄩ4" + ], + "愴": [ + "ㄔㄨㄤ4", + "ㄔㄨㄤ3" + ], + "愵": [ + "ㄋㄧ4" + ], + "愶": [ + "ㄒㄧㄝ2" + ], + "愷": [ + "ㄎㄞ3" + ], + "愸": [ + "ㄓㄥ3" + ], + "愹": [ + "ㄩㄥ3" + ], + "愺": [ + "ㄘㄠ3" + ], + "愻": [ + "ㄒㄩㄣ4" + ], + "愼": [ + "ㄕㄣ4" + ], + "愽": [ + "ㄅㄛ2" + ], + "愾": [ + "ㄎㄞ4", + "ㄒㄧ4", + "ㄑㄧ4" + ], + "愿": [ + "ㄩㄢ4" + ], + "慀": [ + "ㄒㄧ4", + "ㄒㄧㄝ2" + ], + "慁": [ + "ㄏㄨㄣ4" + ], + "慂": [ + "ㄩㄥ3" + ], + "慃": [ + "ㄧㄤ3" + ], + "慄": [ + "ㄌㄧ4" + ], + "慅": [ + "ㄙㄠ1", + "ㄘㄠ3" + ], + "慆": [ + "ㄊㄠ1" + ], + "慇": [ + "ㄧㄣ1" + ], + "慈": [ + "ㄘ2" + ], + "慉": [ + "ㄒㄩ4", + "ㄔㄨ4" + ], + "慊": [ + "ㄑㄧㄢ4", + "ㄑㄧㄝ4", + "ㄒㄧㄢ2", + "ㄑㄧㄢ3" + ], + "態": [ + "ㄊㄞ4" + ], + "慌": [ + "ㄏㄨㄤ1", + "ㄏㄨㄤ3", + "ㄏㄨㄤ5" + ], + "慍": [ + "ㄩㄣ4" + ], + "慎": [ + "ㄕㄣ4", + "ㄓㄣ4" + ], + "慏": [ + "ㄇㄧㄥ3" + ], + "慐": [ + "ㄍㄨㄥ5" + ], + "慑": [ + "ㄕㄜ4" + ], + "慒": [ + "ㄘㄨㄥ2", + "ㄘㄠ2" + ], + "慓": [ + "ㄆㄧㄠ1", + "ㄆㄧㄠ4" + ], + "慔": [ + "ㄇㄨ4" + ], + "慕": [ + "ㄇㄨ4" + ], + "慖": [ + "ㄍㄨㄛ2" + ], + "慗": [ + "ㄔ4" + ], + "慘": [ + "ㄘㄢ3" + ], + "慙": [ + "ㄘㄢ2" + ], + "慚": [ + "ㄘㄢ2" + ], + "慛": [ + "ㄘㄨㄟ1" + ], + "慜": [ + "ㄇㄧㄣ3" + ], + "慝": [ + "ㄊㄜ4", + "ㄋㄧ4" + ], + "慞": [ + "ㄓㄤ1" + ], + "慟": [ + "ㄊㄨㄥ4" + ], + "慠": [ + "ㄠ4", + "ㄠ2" + ], + "慡": [ + "ㄕㄨㄤ3" + ], + "慢": [ + "ㄇㄢ4", + "ㄇㄢ2" + ], + "慣": [ + "ㄍㄨㄢ4" + ], + "慤": [ + "ㄑㄩㄝ4" + ], + "慥": [ + "ㄗㄠ4", + "ㄘㄠ4" + ], + "慦": [ + "ㄐㄧㄡ4" + ], + "慧": [ + "ㄏㄨㄟ4" + ], + "慨": [ + "ㄎㄞ3" + ], + "慩": [ + "ㄌㄧㄢ2" + ], + "慪": [ + "ㄡ4", + "ㄡ1" + ], + "慫": [ + "ㄙㄨㄥ3" + ], + "慬": [ + "ㄑㄧㄣ2", + "ㄐㄧㄣ4", + "ㄐㄧㄣ3" + ], + "慭": [ + "ㄧㄣ4" + ], + "慮": [ + "ㄌㄩ4", + "ㄌㄩ2" + ], + "慯": [ + "ㄕㄤ1" + ], + "慰": [ + "ㄨㄟ4" + ], + "慱": [ + "ㄊㄨㄢ2" + ], + "慲": [ + "ㄇㄢ2" + ], + "慳": [ + "ㄑㄧㄢ1", + "ㄒㄧㄢ2" + ], + "慴": [ + "ㄕㄜ4", + "ㄓㄜ2" + ], + "慵": [ + "ㄩㄥ1" + ], + "慶": [ + "ㄑㄧㄥ4", + "ㄑㄧㄥ1", + "ㄑㄧㄤ1" + ], + "慷": [ + "ㄎㄤ1" + ], + "慸": [ + "ㄉㄧ4", + "ㄔ4" + ], + "慹": [ + "ㄓ2", + "ㄓㄜ2" + ], + "慺": [ + "ㄌㄡ2", + "ㄌㄩ3" + ], + "慻": [ + "ㄐㄩㄢ4" + ], + "慼": [ + "ㄑㄧ1" + ], + "慽": [ + "ㄑㄧ1" + ], + "慾": [ + "ㄩ4" + ], + "慿": [ + "ㄆㄧㄥ2" + ], + "憀": [ + "ㄌㄧㄠ2" + ], + "憁": [ + "ㄘㄨㄥ4", + "ㄙㄨㄥ1" + ], + "憂": [ + "ㄧㄡ1" + ], + "憃": [ + "ㄔㄨㄥ1" + ], + "憄": [ + "ㄓ4" + ], + "憅": [ + "ㄊㄨㄥ4" + ], + "憆": [ + "ㄔㄥ1" + ], + "憇": [ + "ㄑㄧ4" + ], + "憈": [ + "ㄑㄩ1" + ], + "憉": [ + "ㄆㄥ2" + ], + "憊": [ + "ㄅㄟ4" + ], + "憋": [ + "ㄅㄧㄝ1" + ], + "憌": [ + "ㄑㄩㄥ2" + ], + "憍": [ + "ㄐㄧㄠ1" + ], + "憎": [ + "ㄗㄥ1" + ], + "憏": [ + "ㄔ4" + ], + "憐": [ + "ㄌㄧㄢ2" + ], + "憑": [ + "ㄆㄧㄥ2" + ], + "憒": [ + "ㄎㄨㄟ4" + ], + "憓": [ + "ㄏㄨㄟ4" + ], + "憔": [ + "ㄑㄧㄠ2" + ], + "憕": [ + "ㄔㄥ2", + "ㄓㄥ4", + "ㄉㄥ4" + ], + "憖": [ + "ㄧㄣ4", + "ㄒㄧㄣ4", + "ㄧㄣ2" + ], + "憗": [ + "ㄧㄣ4" + ], + "憘": [ + "ㄒㄧ3", + "ㄒㄧ1" + ], + "憙": [ + "ㄒㄧ1", + "ㄒㄧ3" + ], + "憚": [ + "ㄉㄢ4", + "ㄉㄚ2", + "ㄔㄢ3" + ], + "憛": [ + "ㄊㄢ2" + ], + "憜": [ + "ㄉㄨㄛ4" + ], + "憝": [ + "ㄉㄨㄟ4" + ], + "憞": [ + "ㄉㄨㄟ4", + "ㄉㄨㄣ4", + "ㄊㄨㄣ1" + ], + "憟": [ + "ㄙㄨ4" + ], + "憠": [ + "ㄐㄩㄝ2" + ], + "憡": [ + "ㄘㄜ4" + ], + "憢": [ + "ㄒㄧㄠ1", + "ㄐㄧㄠ1" + ], + "憣": [ + "ㄈㄢ1" + ], + "憤": [ + "ㄈㄣ4" + ], + "憥": [ + "ㄌㄠ2" + ], + "憦": [ + "ㄌㄠ4", + "ㄌㄠ2" + ], + "憧": [ + "ㄔㄨㄥ1", + "ㄓㄨㄤ4" + ], + "憨": [ + "ㄏㄢ1" + ], + "憩": [ + "ㄑㄧ4" + ], + "憪": [ + "ㄒㄧㄢ2", + "ㄒㄧㄢ4" + ], + "憫": [ + "ㄇㄧㄣ3" + ], + "憬": [ + "ㄐㄧㄥ3" + ], + "憭": [ + "ㄌㄧㄠ3", + "ㄌㄧㄠ2" + ], + "憮": [ + "ㄨ3", + "ㄨ2" + ], + "憯": [ + "ㄘㄢ3" + ], + "憰": [ + "ㄐㄩㄝ2" + ], + "憱": [ + "ㄘㄨ4" + ], + "憲": [ + "ㄒㄧㄢ4", + "ㄒㄧㄢ3" + ], + "憳": [ + "ㄊㄢ3" + ], + "憴": [ + "ㄕㄥ2" + ], + "憵": [ + "ㄆㄧ1" + ], + "憶": [ + "ㄧ4" + ], + "憷": [ + "ㄔㄨ4", + "ㄔㄨ3" + ], + "憸": [ + "ㄒㄧㄢ1" + ], + "憹": [ + "ㄋㄠ2", + "ㄋㄨㄥ2", + "ㄋㄤ2", + "ㄋㄠ3" + ], + "憺": [ + "ㄉㄢ4" + ], + "憻": [ + "ㄊㄢ3" + ], + "憼": [ + "ㄐㄧㄥ3", + "ㄐㄧㄥ4" + ], + "憽": [ + "ㄙㄨㄥ1" + ], + "憾": [ + "ㄏㄢ4", + "ㄉㄢ4" + ], + "憿": [ + "ㄐㄧㄠ3", + "ㄐㄧ1" + ], + "懀": [ + "ㄨㄟ4" + ], + "懁": [ + "ㄒㄩㄢ1", + "ㄏㄨㄢ1" + ], + "懂": [ + "ㄉㄨㄥ3" + ], + "懃": [ + "ㄑㄧㄣ2" + ], + "懄": [ + "ㄑㄧㄣ2" + ], + "懅": [ + "ㄐㄩ4" + ], + "懆": [ + "ㄘㄠ3", + "ㄙㄠ1", + "ㄙㄠ4" + ], + "懇": [ + "ㄎㄣ3" + ], + "懈": [ + "ㄒㄧㄝ4" + ], + "應": [ + "ㄧㄥ1", + "ㄧㄥ4" + ], + "懊": [ + "ㄠ4", + "ㄩ4" + ], + "懋": [ + "ㄇㄠ4" + ], + "懌": [ + "ㄧ4" + ], + "懍": [ + "ㄌㄧㄣ3" + ], + "懎": [ + "ㄙㄜ4" + ], + "懏": [ + "ㄐㄩㄣ4" + ], + "懐": [ + "ㄏㄨㄞ2" + ], + "懑": [ + "ㄇㄣ4" + ], + "懒": [ + "ㄌㄢ3" + ], + "懓": [ + "ㄞ4" + ], + "懔": [ + "ㄌㄧㄣ3", + "ㄌㄢ3" + ], + "懕": [ + "ㄧㄢ1", + "ㄧㄢ4", + "ㄧㄝ4" + ], + "懖": [ + "ㄎㄨㄛ4" + ], + "懗": [ + "ㄒㄧㄚ4" + ], + "懘": [ + "ㄔ4" + ], + "懙": [ + "ㄩ3" + ], + "懚": [ + "ㄧㄣ4" + ], + "懛": [ + "ㄉㄞ1" + ], + "懜": [ + "ㄇㄥ3", + "ㄇㄥ4", + "ㄇㄥ2" + ], + "懝": [ + "ㄞ4", + "ㄋㄧ4", + "ㄋㄧ3" + ], + "懞": [ + "ㄇㄥ2", + "ㄇㄥ3" + ], + "懟": [ + "ㄉㄨㄟ4" + ], + "懠": [ + "ㄑㄧ2", + "ㄐㄧ4", + "ㄐㄧ1" + ], + "懡": [ + "ㄇㄛ3" + ], + "懢": [ + "ㄌㄢ2", + "ㄒㄧㄢ4" + ], + "懣": [ + "ㄇㄣ4" + ], + "懤": [ + "ㄔㄡ2" + ], + "懥": [ + "ㄓ4" + ], + "懦": [ + "ㄋㄨㄛ4" + ], + "懧": [ + "ㄋㄨㄛ4" + ], + "懨": [ + "ㄧㄢ1" + ], + "懩": [ + "ㄧㄤ3" + ], + "懪": [ + "ㄅㄛ2" + ], + "懫": [ + "ㄓ4" + ], + "懬": [ + "ㄎㄨㄤ4" + ], + "懭": [ + "ㄎㄨㄤ3" + ], + "懮": [ + "ㄧㄡ3", + "ㄧㄡ1" + ], + "懯": [ + "ㄈㄨ1" + ], + "懰": [ + "ㄌㄧㄡ2", + "ㄌㄧㄡ3" + ], + "懱": [ + "ㄇㄧㄝ4" + ], + "懲": [ + "ㄔㄥ2" + ], + "懳": [ + "ㄏㄨㄟ5" + ], + "懴": [ + "ㄔㄢ4" + ], + "懵": [ + "ㄇㄥ3", + "ㄇㄥ4" + ], + "懶": [ + "ㄌㄢ3", + "ㄌㄞ4" + ], + "懷": [ + "ㄏㄨㄞ2" + ], + "懸": [ + "ㄒㄩㄢ2" + ], + "懹": [ + "ㄖㄤ4" + ], + "懺": [ + "ㄔㄢ4" + ], + "懻": [ + "ㄐㄧ4" + ], + "懼": [ + "ㄐㄩ4" + ], + "懽": [ + "ㄏㄨㄢ1", + "ㄍㄨㄢ4" + ], + "懾": [ + "ㄕㄜ4" + ], + "懿": [ + "ㄧ4", + "ㄧ1" + ], + "戀": [ + "ㄌㄧㄢ4" + ], + "戁": [ + "ㄋㄢ3" + ], + "戂": [ + "ㄇㄧ2", + "ㄇㄛ2" + ], + "戃": [ + "ㄊㄤ3" + ], + "戄": [ + "ㄐㄩㄝ2" + ], + "戅": [ + "ㄍㄤ4" + ], + "戆": [ + "ㄍㄤ4", + "ㄓㄨㄤ4" + ], + "戇": [ + "ㄓㄨㄤ4", + "ㄍㄤ4" + ], + "戈": [ + "ㄍㄜ1" + ], + "戉": [ + "ㄩㄝ4" + ], + "戊": [ + "ㄨ4" + ], + "戋": [ + "ㄐㄧㄢ1" + ], + "戌": [ + "ㄒㄩ1", + "ㄑㄩ5" + ], + "戍": [ + "ㄕㄨ4" + ], + "戎": [ + "ㄖㄨㄥ2", + "ㄖㄥ1" + ], + "戏": [ + "ㄒㄧ4", + "ㄏㄨ1" + ], + "成": [ + "ㄔㄥ2" + ], + "我": [ + "ㄨㄛ3" + ], + "戒": [ + "ㄐㄧㄝ4" + ], + "戓": [ + "ㄍㄜ1" + ], + "戔": [ + "ㄐㄧㄢ1", + "ㄘㄢ2" + ], + "戕": [ + "ㄑㄧㄤ1", + "ㄗㄤ1" + ], + "或": [ + "ㄏㄨㄛ4", + "ㄩ4" + ], + "戗": [ + "ㄑㄧㄤ1", + "ㄑㄧㄤ4" + ], + "战": [ + "ㄓㄢ4" + ], + "戙": [ + "ㄉㄨㄥ4" + ], + "戚": [ + "ㄑㄧ1", + "ㄘㄨ4" + ], + "戛": [ + "ㄐㄧㄚ2", + "ㄍㄚ1" + ], + "戜": [ + "ㄉㄧㄝ2" + ], + "戝": [ + "ㄗㄟ2" + ], + "戞": [ + "ㄐㄧㄚ2" + ], + "戟": [ + "ㄐㄧ3" + ], + "戠": [ + "ㄓ1", + "ㄓ2" + ], + "戡": [ + "ㄎㄢ1", + "ㄓㄣ3" + ], + "戢": [ + "ㄐㄧ2" + ], + "戣": [ + "ㄎㄨㄟ2" + ], + "戤": [ + "ㄍㄞ4" + ], + "戥": [ + "ㄉㄥ3" + ], + "戦": [ + "ㄓㄢ4" + ], + "戧": [ + "ㄑㄧㄤ1", + "ㄔㄨㄤ1", + "ㄑㄧㄤ4" + ], + "戨": [ + "ㄍㄜ1" + ], + "戩": [ + "ㄐㄧㄢ3" + ], + "截": [ + "ㄐㄧㄝ2" + ], + "戫": [ + "ㄩ4" + ], + "戬": [ + "ㄐㄧㄢ3" + ], + "戭": [ + "ㄧㄢ3", + "ㄧㄡ3" + ], + "戮": [ + "ㄌㄨ4" + ], + "戯": [ + "ㄏㄨ1", + "ㄒㄧ4" + ], + "戰": [ + "ㄓㄢ4" + ], + "戱": [ + "ㄒㄧ4" + ], + "戲": [ + "ㄒㄧ4", + "ㄏㄨ1", + "ㄒㄧ1", + "ㄏㄨㄟ1", + "ㄙㄨㄛ1", + "ㄧ1" + ], + "戳": [ + "ㄔㄨㄛ1" + ], + "戴": [ + "ㄉㄞ4" + ], + "戵": [ + "ㄑㄩ2" + ], + "戶": [ + "ㄏㄨ4" + ], + "户": [ + "ㄏㄨ4" + ], + "戸": [ + "ㄏㄨ4" + ], + "戹": [ + "ㄜ4" + ], + "戺": [ + "ㄕ4", + "ㄧ2" + ], + "戻": [ + "ㄊㄧ4" + ], + "戼": [ + "ㄇㄠ3" + ], + "戽": [ + "ㄏㄨ4" + ], + "戾": [ + "ㄌㄧ4" + ], + "房": [ + "ㄈㄤ2", + "ㄆㄤ2" + ], + "所": [ + "ㄙㄨㄛ3" + ], + "扁": [ + "ㄅㄧㄢ3", + "ㄆㄧㄢ1", + "ㄅㄧㄢ1", + "ㄆㄧㄢ2" + ], + "扂": [ + "ㄉㄧㄢ4" + ], + "扃": [ + "ㄐㄩㄥ1", + "ㄐㄩㄥ3" + ], + "扄": [ + "ㄕㄤ3", + "ㄐㄩㄥ1" + ], + "扅": [ + "ㄧ2" + ], + "扆": [ + "ㄧ3" + ], + "扇": [ + "ㄕㄢ4", + "ㄕㄢ1" + ], + "扈": [ + "ㄏㄨ4" + ], + "扉": [ + "ㄈㄟ1" + ], + "扊": [ + "ㄧㄢ3" + ], + "手": [ + "ㄕㄡ3" + ], + "扌": [ + "ㄕㄡ5" + ], + "才": [ + "ㄘㄞ2", + "ㄗㄞ1" + ], + "扎": [ + "ㄓㄚ1", + "ㄗㄚ1", + "ㄓㄚ2", + "ㄓㄚ3" + ], + "扏": [ + "ㄑㄧㄡ2" + ], + "扐": [ + "ㄌㄜ4", + "ㄌㄧ4", + "ㄘㄞ2" + ], + "扑": [ + "ㄆㄨ1", + "ㄆㄧ4" + ], + "扒": [ + "ㄅㄚ1", + "ㄆㄚ2", + "ㄅㄞ4", + "ㄅㄧㄝ2" + ], + "打": [ + "ㄉㄚ3", + "ㄉㄚ2" + ], + "扔": [ + "ㄖㄥ1", + "ㄖㄥ4" + ], + "払": [ + "ㄈㄢ3" + ], + "扖": [ + "ㄖㄨ4" + ], + "扗": [ + "ㄗㄞ4" + ], + "托": [ + "ㄊㄨㄛ1" + ], + "扙": [ + "ㄓㄤ4" + ], + "扚": [ + "ㄉㄧㄠ3", + "ㄉㄧ2", + "ㄩㄝ1", + "ㄌㄧ4" + ], + "扛": [ + "ㄎㄤ2", + "ㄍㄤ1" + ], + "扜": [ + "ㄩ1", + "ㄨ1" + ], + "扝": [ + "ㄎㄨ1", + "ㄨ1" + ], + "扞": [ + "ㄍㄢ3", + "ㄏㄢ4" + ], + "扟": [ + "ㄕㄣ1" + ], + "扠": [ + "ㄔㄚ1", + "ㄔㄞ1", + "ㄓㄚ3" + ], + "扡": [ + "ㄊㄨㄛ1", + "ㄧ3", + "ㄔ3" + ], + "扢": [ + "ㄍㄨ3", + "ㄑㄧ4", + "ㄐㄧㄝ2", + "ㄍㄜ1" + ], + "扣": [ + "ㄎㄡ4" + ], + "扤": [ + "ㄨ4" + ], + "扥": [ + "ㄉㄣ4" + ], + "扦": [ + "ㄑㄧㄢ1" + ], + "执": [ + "ㄓ2" + ], + "扨": [ + "ㄖㄣ4" + ], + "扩": [ + "ㄎㄨㄛ4" + ], + "扪": [ + "ㄇㄣ2" + ], + "扫": [ + "ㄙㄠ3", + "ㄙㄠ4" + ], + "扬": [ + "ㄧㄤ2" + ], + "扭": [ + "ㄋㄧㄡ3", + "ㄔㄡ3", + "ㄓㄡ3", + "ㄓㄡ4" + ], + "扮": [ + "ㄅㄢ4", + "ㄈㄣ3", + "ㄈㄣ1", + "ㄏㄨㄛ3" + ], + "扯": [ + "ㄔㄜ3" + ], + "扰": [ + "ㄖㄠ3", + "ㄧㄡ4" + ], + "扱": [ + "ㄒㄧ1", + "ㄔㄚ1", + "ㄑㄧ4" + ], + "扲": [ + "ㄑㄧㄢ2", + "ㄑㄧㄣ2" + ], + "扳": [ + "ㄅㄢ1", + "ㄆㄢ1" + ], + "扴": [ + "ㄐㄧㄚ2" + ], + "扵": [ + "ㄩ2" + ], + "扶": [ + "ㄈㄨ2", + "ㄆㄨ2" + ], + "扷": [ + "ㄠ4" + ], + "扸": [ + "ㄒㄧ1", + "ㄓㄜ2" + ], + "批": [ + "ㄆㄧ1", + "ㄆㄧ2" + ], + "扺": [ + "ㄓ3", + "ㄑㄧ2" + ], + "扻": [ + "ㄓ4", + "ㄙㄨㄣ3", + "ㄎㄢ3" + ], + "扼": [ + "ㄜ4" + ], + "扽": [ + "ㄉㄣ4" + ], + "找": [ + "ㄓㄠ3", + "ㄏㄨㄚ2" + ], + "承": [ + "ㄔㄥ2", + "ㄓㄥ3", + "ㄓㄥ4" + ], + "技": [ + "ㄐㄧ4", + "ㄑㄧ2" + ], + "抁": [ + "ㄧㄢ3" + ], + "抂": [ + "ㄎㄨㄤ2", + "ㄨㄤ3" + ], + "抃": [ + "ㄅㄧㄢ4" + ], + "抄": [ + "ㄔㄠ1", + "ㄙㄨㄛ1", + "ㄔㄠ4", + "ㄔㄠ3" + ], + "抅": [ + "ㄐㄩ1" + ], + "抆": [ + "ㄨㄣ3" + ], + "抇": [ + "ㄏㄨ2" + ], + "抈": [ + "ㄩㄝ4" + ], + "抉": [ + "ㄐㄩㄝ2" + ], + "把": [ + "ㄅㄚ3", + "ㄅㄚ4", + "ㄆㄚ2" + ], + "抋": [ + "ㄑㄧㄣ4" + ], + "抌": [ + "ㄉㄢ3", + "ㄕㄣ3" + ], + "抍": [ + "ㄓㄥ3" + ], + "抎": [ + "ㄩㄣ3" + ], + "抏": [ + "ㄨㄢ2" + ], + "抐": [ + "ㄋㄜ4", + "ㄋㄧ4", + "ㄋㄚ4", + "ㄖㄨㄟ4" + ], + "抑": [ + "ㄧ4" + ], + "抒": [ + "ㄕㄨ1" + ], + "抓": [ + "ㄓㄨㄚ1" + ], + "抔": [ + "ㄆㄡ2" + ], + "投": [ + "ㄊㄡ2", + "ㄉㄡ4" + ], + "抖": [ + "ㄉㄡ3" + ], + "抗": [ + "ㄎㄤ4", + "ㄍㄤ1" + ], + "折": [ + "ㄓㄜ2", + "ㄕㄜ2", + "ㄓㄜ1", + "ㄊㄧ2" + ], + "抙": [ + "ㄆㄡ2" + ], + "抚": [ + "ㄈㄨ3" + ], + "抛": [ + "ㄆㄠ1" + ], + "抜": [ + "ㄅㄚ2" + ], + "抝": [ + "ㄠ3", + "ㄠ4", + "ㄋㄧㄡ4" + ], + "択": [ + "ㄗㄜ2" + ], + "抟": [ + "ㄊㄨㄢ2" + ], + "抠": [ + "ㄎㄡ1" + ], + "抡": [ + "ㄌㄨㄣ1", + "ㄌㄨㄣ2" + ], + "抢": [ + "ㄑㄧㄤ3", + "ㄑㄧㄤ1" + ], + "抣": [ + "ㄩㄣ5" + ], + "护": [ + "ㄏㄨ4" + ], + "报": [ + "ㄅㄠ4" + ], + "抦": [ + "ㄅㄧㄥ3" + ], + "抧": [ + "ㄓ3", + "ㄓㄞ3" + ], + "抨": [ + "ㄆㄥ1", + "ㄅㄥ1" + ], + "抩": [ + "ㄋㄢ2" + ], + "抪": [ + "ㄅㄨ4", + "ㄆㄨ1", + "ㄅㄚ2" + ], + "披": [ + "ㄆㄧ1" + ], + "抬": [ + "ㄊㄞ2", + "ㄔ1" + ], + "抭": [ + "ㄧㄠ3", + "ㄊㄠ1" + ], + "抮": [ + "ㄓㄣ3" + ], + "抯": [ + "ㄓㄚ1" + ], + "抰": [ + "ㄧㄤ1" + ], + "抱": [ + "ㄅㄠ4", + "ㄆㄠ1", + "ㄆㄡ3" + ], + "抲": [ + "ㄏㄜ1", + "ㄏㄜ4", + "ㄑㄧㄚ1" + ], + "抳": [ + "ㄋㄧ3", + "ㄋㄧ2" + ], + "抴": [ + "ㄧㄝ4", + "ㄕㄜ2" + ], + "抵": [ + "ㄉㄧ3", + "ㄓ3", + "ㄑㄧ2" + ], + "抶": [ + "ㄔ4" + ], + "抷": [ + "ㄆㄧ1", + "ㄆㄟ1" + ], + "抸": [ + "ㄐㄧㄚ1" + ], + "抹": [ + "ㄇㄛ3", + "ㄇㄚ1", + "ㄇㄛ4" + ], + "抺": [ + "ㄇㄟ4" + ], + "抻": [ + "ㄔㄣ1", + "ㄕㄣ1" + ], + "押": [ + "ㄧㄚ1", + "ㄒㄧㄚ2", + "ㄐㄧㄚ3" + ], + "抽": [ + "ㄔㄡ1" + ], + "抾": [ + "ㄑㄩ1" + ], + "抿": [ + "ㄇㄧㄣ3" + ], + "拀": [ + "ㄔㄨ4" + ], + "拁": [ + "ㄐㄧㄚ1", + "ㄧㄚ2" + ], + "拂": [ + "ㄈㄨ2", + "ㄅㄧ4", + "ㄆㄧ4", + "ㄈㄟ4" + ], + "拃": [ + "ㄓㄚ3", + "ㄓㄢ3", + "ㄓㄚ4", + "ㄓㄚ2" + ], + "拄": [ + "ㄓㄨ3" + ], + "担": [ + "ㄉㄢ1", + "ㄉㄢ4", + "ㄉㄢ3", + "ㄐㄧㄝ1" + ], + "拆": [ + "ㄔㄞ1", + "ㄔㄜ4", + "ㄔ4", + "ㄘㄚ1" + ], + "拇": [ + "ㄇㄨ3" + ], + "拈": [ + "ㄋㄧㄢ1", + "ㄋㄧㄢ3", + "ㄉㄧㄢ1" + ], + "拉": [ + "ㄌㄚ1", + "ㄌㄚ2", + "ㄌㄚ3", + "ㄌㄚ4", + "ㄌㄚ5" + ], + "拊": [ + "ㄈㄨ3", + "ㄈㄨ1", + "ㄅㄨ3" + ], + "拋": [ + "ㄆㄠ1" + ], + "拌": [ + "ㄅㄢ4", + "ㄆㄢ1" + ], + "拍": [ + "ㄆㄞ1", + "ㄅㄛ2" + ], + "拎": [ + "ㄌㄧㄣ1", + "ㄌㄧㄥ1" + ], + "拏": [ + "ㄋㄚ2" + ], + "拐": [ + "ㄍㄨㄞ3" + ], + "拑": [ + "ㄑㄧㄢ2" + ], + "拒": [ + "ㄐㄩ4", + "ㄐㄩ3" + ], + "拓": [ + "ㄊㄨㄛ4", + "ㄊㄚ4", + "ㄓ2" + ], + "拔": [ + "ㄅㄚ2", + "ㄅㄛ1", + "ㄅㄧㄝ2", + "ㄈㄚ2", + "ㄅㄟ4" + ], + "拕": [ + "ㄊㄨㄛ1" + ], + "拖": [ + "ㄊㄨㄛ1", + "ㄔ3" + ], + "拗": [ + "ㄠ3", + "ㄠ4", + "ㄋㄧㄡ4", + "ㄩ4" + ], + "拘": [ + "ㄐㄩ1", + "ㄍㄡ1", + "ㄐㄩ3", + "ㄐㄩ2" + ], + "拙": [ + "ㄓㄨㄛ1" + ], + "拚": [ + "ㄆㄢ4", + "ㄅㄧㄢ4", + "ㄈㄣ4", + "ㄈㄢ1", + "ㄆㄧㄣ1" + ], + "招": [ + "ㄓㄠ1", + "ㄑㄧㄠ2", + "ㄕㄠ2" + ], + "拜": [ + "ㄅㄞ4", + "ㄅㄞ2" + ], + "拝": [ + "ㄅㄞ4" + ], + "拞": [ + "ㄉㄧ3" + ], + "拟": [ + "ㄋㄧ3" + ], + "拠": [ + "ㄐㄩ4" + ], + "拡": [ + "ㄎㄨㄛ4" + ], + "拢": [ + "ㄌㄨㄥ3" + ], + "拣": [ + "ㄐㄧㄢ3" + ], + "拤": [ + "ㄑㄧㄚ2" + ], + "拥": [ + "ㄩㄥ1" + ], + "拦": [ + "ㄌㄢ2" + ], + "拧": [ + "ㄋㄧㄥ2", + "ㄋㄧㄥ3", + "ㄋㄧㄥ4" + ], + "拨": [ + "ㄅㄛ1" + ], + "择": [ + "ㄗㄜ2", + "ㄓㄞ2" + ], + "拪": [ + "ㄑㄧㄢ1" + ], + "拫": [ + "ㄏㄣ2" + ], + "括": [ + "ㄎㄨㄛ4", + "ㄍㄨㄚ1" + ], + "拭": [ + "ㄕ4" + ], + "拮": [ + "ㄐㄧㄝ2", + "ㄐㄧㄚ2" + ], + "拯": [ + "ㄓㄥ3" + ], + "拰": [ + "ㄋㄧㄣ3" + ], + "拱": [ + "ㄍㄨㄥ3", + "ㄐㄩ2" + ], + "拲": [ + "ㄍㄨㄥ3" + ], + "拳": [ + "ㄑㄩㄢ2" + ], + "拴": [ + "ㄕㄨㄢ1", + "ㄑㄩㄢ2" + ], + "拵": [ + "ㄘㄨㄣ2", + "ㄗㄨㄣ4" + ], + "拶": [ + "ㄗㄚ1", + "ㄗㄢ3" + ], + "拷": [ + "ㄎㄠ3" + ], + "拸": [ + "ㄧ2", + "ㄔ3", + "ㄏㄞ4" + ], + "拹": [ + "ㄒㄧㄝ2" + ], + "拺": [ + "ㄘㄜ4", + "ㄙㄜ4", + "ㄔㄨㄛ4" + ], + "拻": [ + "ㄏㄨㄟ1" + ], + "拼": [ + "ㄆㄧㄣ1", + "ㄅㄧㄥ4" + ], + "拽": [ + "ㄓㄨㄞ1", + "ㄓㄨㄞ4", + "ㄧㄝ4" + ], + "拾": [ + "ㄕ2", + "ㄕㄜ4", + "ㄐㄧㄝ4" + ], + "拿": [ + "ㄋㄚ2" + ], + "挀": [ + "ㄅㄞ1" + ], + "持": [ + "ㄔ2" + ], + "挂": [ + "ㄍㄨㄚ4" + ], + "挃": [ + "ㄓ4", + "ㄉㄧㄝ2" + ], + "挄": [ + "ㄎㄨㄛ4", + "ㄍㄨㄤ1" + ], + "挅": [ + "ㄉㄨㄛ3", + "ㄉㄨㄛ4" + ], + "挆": [ + "ㄉㄨㄛ3" + ], + "指": [ + "ㄓ3", + "ㄓ1", + "ㄓ2" + ], + "挈": [ + "ㄑㄧㄝ4", + "ㄑㄧ4", + "ㄐㄧㄚ2", + "ㄑㄧㄚ4", + "ㄕ4" + ], + "按": [ + "ㄢ4" + ], + "挊": [ + "ㄋㄨㄥ4" + ], + "挋": [ + "ㄓㄣ4" + ], + "挌": [ + "ㄍㄜ2", + "ㄏㄜ2" + ], + "挍": [ + "ㄐㄧㄠ4", + "ㄐㄧㄠ1" + ], + "挎": [ + "ㄎㄨㄚ4", + "ㄎㄨ1", + "ㄎㄡ1" + ], + "挏": [ + "ㄉㄨㄥ4" + ], + "挐": [ + "ㄋㄚ2", + "ㄖㄨ2", + "ㄋㄨ2" + ], + "挑": [ + "ㄊㄧㄠ1", + "ㄊㄧㄠ3", + "ㄊㄠ2", + "ㄉㄧㄠ4", + "ㄊㄧㄠ2", + "ㄊㄧㄠ5" + ], + "挒": [ + "ㄌㄧㄝ4" + ], + "挓": [ + "ㄓㄚ1" + ], + "挔": [ + "ㄌㄩ3" + ], + "挕": [ + "ㄉㄧㄝ2", + "ㄕㄜ4" + ], + "挖": [ + "ㄨㄚ1" + ], + "挗": [ + "ㄐㄩㄝ2" + ], + "挘": [ + "ㄌㄧㄝ3" + ], + "挙": [ + "ㄐㄩ3" + ], + "挚": [ + "ㄓ4" + ], + "挛": [ + "ㄌㄨㄢ2" + ], + "挜": [ + "ㄧㄚ4" + ], + "挝": [ + "ㄨㄛ1", + "ㄓㄨㄚ1" + ], + "挞": [ + "ㄊㄚ4" + ], + "挟": [ + "ㄒㄧㄝ2", + "ㄐㄧㄚ1" + ], + "挠": [ + "ㄋㄠ2" + ], + "挡": [ + "ㄉㄤ3", + "ㄉㄤ4" + ], + "挢": [ + "ㄐㄧㄠ3" + ], + "挣": [ + "ㄓㄥ1", + "ㄓㄥ4" + ], + "挤": [ + "ㄐㄧ3" + ], + "挥": [ + "ㄏㄨㄟ1" + ], + "挦": [ + "ㄒㄧㄢ2" + ], + "挧": [ + "ㄩ3" + ], + "挨": [ + "ㄞ1", + "ㄞ2" + ], + "挩": [ + "ㄊㄨㄛ1" + ], + "挪": [ + "ㄋㄨㄛ2" + ], + "挫": [ + "ㄘㄨㄛ4", + "ㄗㄨㄛ4" + ], + "挬": [ + "ㄅㄛ2" + ], + "挭": [ + "ㄍㄥ3" + ], + "挮": [ + "ㄊㄧ3", + "ㄊㄧ4" + ], + "振": [ + "ㄓㄣ4", + "ㄓㄣ1", + "ㄓㄣ3" + ], + "挰": [ + "ㄔㄥ2" + ], + "挱": [ + "ㄙㄚ1", + "ㄕㄚ1", + "ㄙㄨㄛ1" + ], + "挲": [ + "ㄙㄚ1", + "ㄙㄨㄛ1", + "ㄕㄚ1" + ], + "挳": [ + "ㄎㄥ1" + ], + "挴": [ + "ㄇㄟ3" + ], + "挵": [ + "ㄋㄨㄥ4" + ], + "挶": [ + "ㄐㄩ1" + ], + "挷": [ + "ㄆㄥ2" + ], + "挸": [ + "ㄐㄧㄢ3" + ], + "挹": [ + "ㄧ4" + ], + "挺": [ + "ㄊㄧㄥ3", + "ㄊㄧㄥ2" + ], + "挻": [ + "ㄕㄢ1", + "ㄧㄢ2" + ], + "挼": [ + "ㄖㄨㄚ2", + "ㄖㄨㄛ2", + "ㄙㄨㄟ1", + "ㄌㄨㄛ4" + ], + "挽": [ + "ㄨㄢ3" + ], + "挾": [ + "ㄒㄧㄝ2", + "ㄐㄧㄚ1" + ], + "挿": [ + "ㄔㄚ1" + ], + "捀": [ + "ㄈㄥ2" + ], + "捁": [ + "ㄐㄧㄠ3", + "ㄎㄨ4" + ], + "捂": [ + "ㄨ3", + "ㄨ2" + ], + "捃": [ + "ㄐㄩㄣ4" + ], + "捄": [ + "ㄐㄧㄡ4", + "ㄐㄩ1", + "ㄑㄧㄡ2" + ], + "捅": [ + "ㄊㄨㄥ3" + ], + "捆": [ + "ㄎㄨㄣ3", + "ㄏㄨㄣ2" + ], + "捇": [ + "ㄏㄨㄛ4", + "ㄔ4" + ], + "捈": [ + "ㄊㄨ2", + "ㄕㄨ1", + "ㄔㄚ2" + ], + "捉": [ + "ㄓㄨㄛ1" + ], + "捊": [ + "ㄆㄡ2", + "ㄆㄡ1", + "ㄈㄨ1" + ], + "捋": [ + "ㄌㄩ3", + "ㄌㄨㄛ1" + ], + "捌": [ + "ㄅㄚ1", + "ㄅㄧㄝ2" + ], + "捍": [ + "ㄏㄢ4", + "ㄒㄧㄢ4", + "ㄍㄢ3" + ], + "捎": [ + "ㄕㄠ1", + "ㄕㄠ4", + "ㄕㄠ3", + "ㄒㄧㄠ1", + "ㄑㄧㄠ4" + ], + "捏": [ + "ㄋㄧㄝ1" + ], + "捐": [ + "ㄐㄩㄢ1", + "ㄩㄢ2" + ], + "捑": [ + "ㄗㄜ4" + ], + "捒": [ + "ㄕㄨ4", + "ㄙㄡ1", + "ㄙㄨㄥ3" + ], + "捓": [ + "ㄧㄝ2", + "ㄩ2" + ], + "捔": [ + "ㄐㄩㄝ2", + "ㄓㄨㄛ2" + ], + "捕": [ + "ㄅㄨ3" + ], + "捖": [ + "ㄨㄢ2", + "ㄍㄨㄚ1" + ], + "捗": [ + "ㄅㄨ4", + "ㄆㄨ2", + "ㄓ4" + ], + "捘": [ + "ㄗㄨㄣ4" + ], + "捙": [ + "ㄧㄝ4" + ], + "捚": [ + "ㄓㄞ1" + ], + "捛": [ + "ㄌㄩ3" + ], + "捜": [ + "ㄙㄡ1" + ], + "捝": [ + "ㄊㄨㄛ1", + "ㄕㄨㄟ4", + "ㄧㄢ3" + ], + "捞": [ + "ㄌㄠ1" + ], + "损": [ + "ㄙㄨㄣ3" + ], + "捠": [ + "ㄅㄤ1" + ], + "捡": [ + "ㄐㄧㄢ3" + ], + "换": [ + "ㄏㄨㄢ4" + ], + "捣": [ + "ㄉㄠ3" + ], + "捤": [ + "ㄨㄟ3" + ], + "捥": [ + "ㄨㄢ4", + "ㄨㄢ1", + "ㄨㄢ3", + "ㄩ4" + ], + "捦": [ + "ㄑㄧㄣ2" + ], + "捧": [ + "ㄆㄥ3", + "ㄈㄥ4" + ], + "捨": [ + "ㄕㄜ3" + ], + "捩": [ + "ㄌㄧㄝ4", + "ㄌㄧ4" + ], + "捪": [ + "ㄇㄧㄣ2" + ], + "捫": [ + "ㄇㄣ2" + ], + "捬": [ + "ㄈㄨ3", + "ㄈㄨ4", + "ㄅㄨ3" + ], + "捭": [ + "ㄅㄞ3", + "ㄅㄚ1", + "ㄅㄧ3" + ], + "据": [ + "ㄐㄩ4", + "ㄐㄩ1" + ], + "捯": [ + "ㄉㄠ2", + "ㄉㄠ3" + ], + "捰": [ + "ㄨㄛ3", + "ㄌㄨㄛ4", + "ㄌㄨㄛ3" + ], + "捱": [ + "ㄞ2", + "ㄞ1" + ], + "捲": [ + "ㄐㄩㄢ3", + "ㄑㄩㄢ2", + "ㄐㄩㄢ4" + ], + "捳": [ + "ㄩㄝ4" + ], + "捴": [ + "ㄗㄨㄥ3" + ], + "捵": [ + "ㄔㄣ1", + "ㄊㄧㄢ3", + "ㄋㄧㄢ3" + ], + "捶": [ + "ㄔㄨㄟ2", + "ㄉㄨㄛ3" + ], + "捷": [ + "ㄐㄧㄝ2", + "ㄑㄧㄝ4", + "ㄔㄚ1" + ], + "捸": [ + "ㄊㄨ1" + ], + "捹": [ + "ㄅㄣ4" + ], + "捺": [ + "ㄋㄚ4" + ], + "捻": [ + "ㄋㄧㄢ3", + "ㄋㄧㄝ1", + "ㄋㄧㄢ1" + ], + "捼": [ + "ㄖㄨㄛ2", + "ㄨㄛ1", + "ㄨㄟ3", + "ㄖㄜ2" + ], + "捽": [ + "ㄗㄨㄛ2", + "ㄘㄨ4", + "ㄙㄨ1", + "ㄗㄨㄣ4" + ], + "捾": [ + "ㄨㄛ4", + "ㄒㄧㄚ2" + ], + "捿": [ + "ㄑㄧ1" + ], + "掀": [ + "ㄒㄧㄢ1", + "ㄏㄣ2" + ], + "掁": [ + "ㄔㄥ2" + ], + "掂": [ + "ㄉㄧㄢ1" + ], + "掃": [ + "ㄙㄠ3", + "ㄙㄠ4" + ], + "掄": [ + "ㄌㄨㄣ1", + "ㄌㄨㄣ2" + ], + "掅": [ + "ㄑㄧㄥ4" + ], + "掆": [ + "ㄍㄤ1", + "ㄍㄤ4" + ], + "掇": [ + "ㄉㄨㄛ1", + "ㄉㄨㄛ2", + "ㄓㄨㄛ1" + ], + "授": [ + "ㄕㄡ4" + ], + "掉": [ + "ㄉㄧㄠ4", + "ㄋㄨㄛ2" + ], + "掊": [ + "ㄆㄡ2", + "ㄆㄡ3", + "ㄈㄨ4", + "ㄆㄟ2" + ], + "掋": [ + "ㄉㄧ3", + "ㄉㄧ4" + ], + "掌": [ + "ㄓㄤ3" + ], + "掍": [ + "ㄏㄨㄣ4" + ], + "掎": [ + "ㄐㄧ3", + "ㄧ3" + ], + "掏": [ + "ㄊㄠ1", + "ㄊㄠ2" + ], + "掐": [ + "ㄑㄧㄚ1" + ], + "掑": [ + "ㄑㄧ2" + ], + "排": [ + "ㄆㄞ2", + "ㄆㄞ3", + "ㄅㄞ4" + ], + "掓": [ + "ㄕㄨ1" + ], + "掔": [ + "ㄑㄧㄢ1", + "ㄨㄢ4" + ], + "掕": [ + "ㄌㄧㄥ2" + ], + "掖": [ + "ㄧㄝ1", + "ㄧㄝ4" + ], + "掗": [ + "ㄧㄚ4", + "ㄧㄚ3" + ], + "掘": [ + "ㄐㄩㄝ2", + "ㄎㄨ1" + ], + "掙": [ + "ㄓㄥ1" + ], + "掚": [ + "ㄌㄧㄤ3" + ], + "掛": [ + "ㄍㄨㄚ4" + ], + "掜": [ + "ㄧ4", + "ㄋㄧ3", + "ㄋㄞ2", + "ㄋㄧㄝ4" + ], + "掝": [ + "ㄏㄨㄛ4", + "ㄒㄩ4" + ], + "掞": [ + "ㄕㄢ4", + "ㄧㄢ4", + "ㄧㄢ3" + ], + "掟": [ + "ㄓㄥ3", + "ㄉㄧㄥ4" + ], + "掠": [ + "ㄌㄩㄝ4", + "ㄌㄩㄝ3" + ], + "採": [ + "ㄘㄞ3" + ], + "探": [ + "ㄊㄢ4", + "ㄒㄧㄢ2" + ], + "掣": [ + "ㄔㄜ4" + ], + "掤": [ + "ㄅㄧㄥ1" + ], + "接": [ + "ㄐㄧㄝ1", + "ㄒㄧㄝ2", + "ㄕㄚ4", + "ㄔㄚ1" + ], + "掦": [ + "ㄊㄧ4" + ], + "控": [ + "ㄎㄨㄥ4", + "ㄎㄨㄥ1", + "ㄑㄧㄤ1" + ], + "推": [ + "ㄊㄨㄟ1" + ], + "掩": [ + "ㄧㄢ3", + "ㄧㄢ4" + ], + "措": [ + "ㄘㄨㄛ4", + "ㄗㄜ2", + "ㄘ4" + ], + "掫": [ + "ㄓㄡ1", + "ㄗㄡ1", + "ㄔㄡ1" + ], + "掬": [ + "ㄐㄩ1" + ], + "掭": [ + "ㄊㄧㄢ4" + ], + "掮": [ + "ㄑㄧㄢ2" + ], + "掯": [ + "ㄎㄣ4" + ], + "掰": [ + "ㄅㄞ1" + ], + "掱": [ + "ㄆㄚ2", + "ㄕㄡ3" + ], + "掲": [ + "ㄐㄧㄝ1" + ], + "掳": [ + "ㄌㄨ3" + ], + "掴": [ + "ㄍㄨㄞ1", + "ㄍㄨㄛ2" + ], + "掵": [ + "ㄇㄧㄥ5" + ], + "掶": [ + "ㄐㄧㄝ2" + ], + "掷": [ + "ㄓ4", + "ㄓ1" + ], + "掸": [ + "ㄉㄢ3", + "ㄕㄢ4" + ], + "掹": [ + "ㄇㄥ5" + ], + "掺": [ + "ㄘㄢ4", + "ㄔㄢ1", + "ㄕㄢ3" + ], + "掻": [ + "ㄙㄠ1" + ], + "掼": [ + "ㄍㄨㄢ4" + ], + "掽": [ + "ㄆㄥ4" + ], + "掾": [ + "ㄩㄢ4", + "ㄔㄨㄢ2" + ], + "掿": [ + "ㄋㄨㄛ4" + ], + "揀": [ + "ㄐㄧㄢ3" + ], + "揁": [ + "ㄓㄥ1", + "ㄎㄥ1" + ], + "揂": [ + "ㄐㄧㄡ1", + "ㄧㄡ2" + ], + "揃": [ + "ㄐㄧㄢ3", + "ㄐㄧㄢ1", + "ㄑㄧㄢ1" + ], + "揄": [ + "ㄩ2", + "ㄔㄡ1", + "ㄧㄡ2", + "ㄕㄨ1", + "ㄧㄠ2" + ], + "揅": [ + "ㄧㄢ2" + ], + "揆": [ + "ㄎㄨㄟ2" + ], + "揇": [ + "ㄋㄢ3" + ], + "揈": [ + "ㄏㄨㄥ1", + "ㄏㄨㄥ2", + "ㄒㄩㄢ4", + "ㄐㄩ1" + ], + "揉": [ + "ㄖㄡ2" + ], + "揊": [ + "ㄆㄧ4", + "ㄔㄜ4" + ], + "揋": [ + "ㄨㄟ1" + ], + "揌": [ + "ㄙㄞ1", + "ㄘㄞ1" + ], + "揍": [ + "ㄗㄡ4", + "ㄘㄡ4" + ], + "揎": [ + "ㄒㄩㄢ1" + ], + "描": [ + "ㄇㄧㄠ2", + "ㄇㄠ4" + ], + "提": [ + "ㄊㄧ2", + "ㄉㄧ1", + "ㄔ2", + "ㄕ2", + "ㄉㄧ3" + ], + "揑": [ + "ㄋㄧㄝ1" + ], + "插": [ + "ㄔㄚ1", + "ㄓㄚ3" + ], + "揓": [ + "ㄕ4" + ], + "揔": [ + "ㄗㄨㄥ3", + "ㄙㄨㄥ1" + ], + "揕": [ + "ㄓㄣ4", + "ㄓㄣ1" + ], + "揖": [ + "ㄧ1", + "ㄐㄧ2" + ], + "揗": [ + "ㄒㄩㄣ2" + ], + "揘": [ + "ㄩㄥ2", + "ㄏㄨㄤ2" + ], + "揙": [ + "ㄅㄧㄢ1", + "ㄅㄧㄢ4" + ], + "揚": [ + "ㄧㄤ2" + ], + "換": [ + "ㄏㄨㄢ4" + ], + "揜": [ + "ㄧㄢ3" + ], + "揝": [ + "ㄗㄢ3", + "ㄗㄨㄢ4" + ], + "揞": [ + "ㄢ3", + "ㄧㄢ4", + "ㄧㄝ4" + ], + "揟": [ + "ㄒㄩ1", + "ㄐㄩ1" + ], + "揠": [ + "ㄧㄚ4" + ], + "握": [ + "ㄨㄛ4", + "ㄡ4" + ], + "揢": [ + "ㄎㄜ2", + "ㄑㄧㄚ1" + ], + "揣": [ + "ㄔㄨㄞ1", + "ㄔㄨㄞ3", + "ㄔㄨㄞ4", + "ㄉㄨㄛ3", + "ㄓㄨㄟ1", + "ㄊㄨㄢ2" + ], + "揤": [ + "ㄐㄧ2" + ], + "揥": [ + "ㄊㄧ4", + "ㄉㄧ4" + ], + "揦": [ + "ㄌㄚ2", + "ㄌㄚ4" + ], + "揧": [ + "ㄌㄚ4" + ], + "揨": [ + "ㄔㄣ2" + ], + "揩": [ + "ㄎㄞ1", + "ㄐㄧㄚ2" + ], + "揪": [ + "ㄐㄧㄡ1" + ], + "揫": [ + "ㄐㄧㄡ1" + ], + "揬": [ + "ㄊㄨ2" + ], + "揭": [ + "ㄐㄧㄝ1", + "ㄑㄧ4", + "ㄏㄜ2" + ], + "揮": [ + "ㄏㄨㄟ1", + "ㄏㄨㄣ2" + ], + "揯": [ + "ㄍㄣ4" + ], + "揰": [ + "ㄔㄨㄥ4", + "ㄉㄨㄥ3" + ], + "揱": [ + "ㄒㄧㄠ1", + "ㄕㄨㄛ4", + "ㄒㄧㄢ1" + ], + "揲": [ + "ㄉㄧㄝ2", + "ㄕㄜ2", + "ㄧㄝ4" + ], + "揳": [ + "ㄒㄧㄝ1", + "ㄒㄧㄝ4", + "ㄒㄧㄝ2", + "ㄐㄧㄚ2" + ], + "援": [ + "ㄩㄢ2", + "ㄏㄨㄢ4" + ], + "揵": [ + "ㄑㄧㄢ2", + "ㄐㄧㄢ4", + "ㄐㄧㄢ3" + ], + "揶": [ + "ㄧㄝ2" + ], + "揷": [ + "ㄔㄚ1" + ], + "揸": [ + "ㄓㄚ1" + ], + "揹": [ + "ㄅㄟ1" + ], + "揺": [ + "ㄧㄠ2" + ], + "揻": [ + "ㄨㄟ1" + ], + "揼": [ + "ㄅㄥ5" + ], + "揽": [ + "ㄌㄢ3" + ], + "揾": [ + "ㄨㄣ4", + "ㄨ4" + ], + "揿": [ + "ㄑㄧㄣ4" + ], + "搀": [ + "ㄔㄢ1" + ], + "搁": [ + "ㄍㄜ1", + "ㄍㄜ2" + ], + "搂": [ + "ㄌㄡ3", + "ㄌㄡ1" + ], + "搃": [ + "ㄗㄨㄥ3" + ], + "搄": [ + "ㄍㄣ4" + ], + "搅": [ + "ㄐㄧㄠ3" + ], + "搆": [ + "ㄍㄡ4", + "ㄍㄡ1" + ], + "搇": [ + "ㄑㄧㄣ4" + ], + "搈": [ + "ㄖㄨㄥ2" + ], + "搉": [ + "ㄑㄩㄝ4", + "ㄏㄨㄛ1" + ], + "搊": [ + "ㄔㄡ1", + "ㄗㄡ3", + "ㄓㄨ1" + ], + "搋": [ + "ㄔㄨㄞ1", + "ㄔ3", + "ㄧ2" + ], + "搌": [ + "ㄓㄢ3" + ], + "損": [ + "ㄙㄨㄣ3" + ], + "搎": [ + "ㄙㄨㄣ1" + ], + "搏": [ + "ㄅㄛ2" + ], + "搐": [ + "ㄔㄨ4" + ], + "搑": [ + "ㄖㄨㄥ2", + "ㄋㄤ2", + "ㄋㄤ3" + ], + "搒": [ + "ㄅㄤ4", + "ㄆㄥ2", + "ㄅㄥ1", + "ㄅㄤ3" + ], + "搓": [ + "ㄘㄨㄛ1", + "ㄘㄨㄛ3", + "ㄔㄞ1" + ], + "搔": [ + "ㄙㄠ1", + "ㄙㄠ4" + ], + "搕": [ + "ㄎㄜ1", + "ㄜ4" + ], + "搖": [ + "ㄧㄠ2" + ], + "搗": [ + "ㄉㄠ3" + ], + "搘": [ + "ㄓ1" + ], + "搙": [ + "ㄋㄨ4", + "ㄋㄨㄛ4", + "ㄋㄡ4" + ], + "搚": [ + "ㄌㄚ1", + "ㄒㄧㄝ2", + "ㄒㄧㄢ4" + ], + "搛": [ + "ㄐㄧㄢ1", + "ㄌㄧㄢ2" + ], + "搜": [ + "ㄙㄡ1", + "ㄒㄧㄠ1", + "ㄙㄡ4", + "ㄕㄠ3" + ], + "搝": [ + "ㄑㄧㄡ3" + ], + "搞": [ + "ㄍㄠ3", + "ㄑㄧㄠ1", + "ㄎㄠ4" + ], + "搟": [ + "ㄒㄧㄢ3", + "ㄒㄧㄢ1" + ], + "搠": [ + "ㄕㄨㄛ4" + ], + "搡": [ + "ㄙㄤ3" + ], + "搢": [ + "ㄐㄧㄣ4" + ], + "搣": [ + "ㄇㄧㄝ4" + ], + "搤": [ + "ㄜ4", + "ㄧ4" + ], + "搥": [ + "ㄔㄨㄟ2", + "ㄉㄨㄟ1" + ], + "搦": [ + "ㄋㄨㄛ4" + ], + "搧": [ + "ㄕㄢ1" + ], + "搨": [ + "ㄊㄚ4", + "ㄉㄚ2" + ], + "搩": [ + "ㄓㄚ3", + "ㄐㄧㄝ2" + ], + "搪": [ + "ㄊㄤ2" + ], + "搫": [ + "ㄆㄢ2", + "ㄅㄢ1", + "ㄆㄛ2" + ], + "搬": [ + "ㄅㄢ1", + "ㄙㄨ4" + ], + "搭": [ + "ㄉㄚ1", + "ㄊㄚ4" + ], + "搮": [ + "ㄌㄧ4" + ], + "搯": [ + "ㄊㄠ1" + ], + "搰": [ + "ㄏㄨ2", + "ㄎㄨ1" + ], + "搱": [ + "ㄓ4", + "ㄋㄞ2" + ], + "搲": [ + "ㄨㄚ1", + "ㄨㄚ3", + "ㄨㄚ4" + ], + "搳": [ + "ㄏㄨㄚ2", + "ㄒㄧㄚ2", + "ㄑㄧㄚ1" + ], + "搴": [ + "ㄑㄧㄢ1" + ], + "搵": [ + "ㄨㄣ4" + ], + "搶": [ + "ㄑㄧㄤ3", + "ㄑㄧㄤ1", + "ㄑㄧㄤ4", + "ㄔㄥ2", + "ㄔㄥ1" + ], + "搷": [ + "ㄊㄧㄢ2", + "ㄕㄣ1" + ], + "搸": [ + "ㄓㄣ1" + ], + "搹": [ + "ㄜ4" + ], + "携": [ + "ㄒㄧㄝ2" + ], + "搻": [ + "ㄋㄨㄛ4" + ], + "搼": [ + "ㄑㄩㄢ2" + ], + "搽": [ + "ㄔㄚ2" + ], + "搾": [ + "ㄓㄚ4" + ], + "搿": [ + "ㄍㄜ2" + ], + "摀": [ + "ㄨ3" + ], + "摁": [ + "ㄣ4" + ], + "摂": [ + "ㄕㄜ4" + ], + "摃": [ + "ㄎㄤ2" + ], + "摄": [ + "ㄕㄜ4" + ], + "摅": [ + "ㄕㄨ1" + ], + "摆": [ + "ㄅㄞ3" + ], + "摇": [ + "ㄧㄠ2" + ], + "摈": [ + "ㄅㄧㄣ4" + ], + "摉": [ + "ㄙㄡ1" + ], + "摊": [ + "ㄊㄢ1" + ], + "摋": [ + "ㄙㄚ4", + "ㄕㄞ3", + "ㄕㄚ1" + ], + "摌": [ + "ㄔㄢ3", + "ㄙㄨㄣ4" + ], + "摍": [ + "ㄙㄨㄛ1" + ], + "摎": [ + "ㄐㄧㄡ1", + "ㄌㄧㄡ2", + "ㄌㄧㄠ2", + "ㄐㄧㄠ3", + "ㄋㄠ2" + ], + "摏": [ + "ㄔㄨㄥ1" + ], + "摐": [ + "ㄔㄨㄤ1" + ], + "摑": [ + "ㄍㄨㄞ1", + "ㄍㄨㄛ2" + ], + "摒": [ + "ㄅㄧㄥ3", + "ㄅㄧㄥ4" + ], + "摓": [ + "ㄈㄥ2", + "ㄆㄥ3" + ], + "摔": [ + "ㄕㄨㄞ1" + ], + "摕": [ + "ㄉㄧ4", + "ㄊㄨ2", + "ㄓ2" + ], + "摖": [ + "ㄑㄧ4", + "ㄔㄚ2" + ], + "摗": [ + "ㄙㄡ1", + "ㄙㄨㄥ3" + ], + "摘": [ + "ㄓㄞ1" + ], + "摙": [ + "ㄌㄧㄢ3", + "ㄌㄧㄢ4" + ], + "摚": [ + "ㄔㄥ1" + ], + "摛": [ + "ㄔ1" + ], + "摜": [ + "ㄍㄨㄢ4" + ], + "摝": [ + "ㄌㄨ4" + ], + "摞": [ + "ㄌㄨㄛ4" + ], + "摟": [ + "ㄌㄡ3", + "ㄌㄡ1" + ], + "摠": [ + "ㄗㄨㄥ3" + ], + "摡": [ + "ㄍㄞ4", + "ㄒㄧ4" + ], + "摢": [ + "ㄏㄨ4", + "ㄔㄨ1" + ], + "摣": [ + "ㄓㄚ1", + "ㄓㄨㄚ1" + ], + "摤": [ + "ㄔㄨㄤ3" + ], + "摥": [ + "ㄊㄤ4" + ], + "摦": [ + "ㄏㄨㄚ4" + ], + "摧": [ + "ㄘㄨㄟ1", + "ㄗㄨㄟ4", + "ㄘㄨㄛ4" + ], + "摨": [ + "ㄋㄞ2", + "ㄓ4" + ], + "摩": [ + "ㄇㄛ2", + "ㄇㄚ1", + "ㄇㄧ2" + ], + "摪": [ + "ㄐㄧㄤ1", + "ㄑㄧㄤ4" + ], + "摫": [ + "ㄍㄨㄟ1" + ], + "摬": [ + "ㄧㄥ3" + ], + "摭": [ + "ㄓ2" + ], + "摮": [ + "ㄠ2", + "ㄑㄧㄠ1" + ], + "摯": [ + "ㄓ4" + ], + "摰": [ + "ㄋㄧㄝ4", + "ㄔㄜ4" + ], + "摱": [ + "ㄇㄢ4", + "ㄇㄢ2" + ], + "摲": [ + "ㄔㄢ4", + "ㄘㄢ2" + ], + "摳": [ + "ㄎㄡ1", + "ㄡ1" + ], + "摴": [ + "ㄔㄨ1", + "ㄔ1" + ], + "摵": [ + "ㄕㄜ4", + "ㄙㄨ4", + "ㄇㄧ2" + ], + "摶": [ + "ㄊㄨㄢ2", + "ㄓㄨㄢ4", + "ㄓㄨㄢ1" + ], + "摷": [ + "ㄐㄧㄠ3", + "ㄔㄠ1" + ], + "摸": [ + "ㄇㄛ1", + "ㄇㄛ2" + ], + "摹": [ + "ㄇㄛ2", + "ㄇㄛ1" + ], + "摺": [ + "ㄓㄜ2", + "ㄌㄚ1", + "ㄒㄧㄝ2" + ], + "摻": [ + "ㄘㄢ4", + "ㄕㄢ3", + "ㄕㄢ1", + "ㄔㄢ1", + "ㄙㄣ1" + ], + "摼": [ + "ㄎㄥ1", + "ㄑㄧㄢ1" + ], + "摽": [ + "ㄅㄧㄠ1", + "ㄅㄧㄠ4", + "ㄆㄧㄠ1", + "ㄆㄠ1" + ], + "摾": [ + "ㄐㄧㄤ4" + ], + "摿": [ + "ㄧㄠ2" + ], + "撀": [ + "ㄍㄡ4" + ], + "撁": [ + "ㄑㄧㄢ1", + "ㄑㄧㄢ4" + ], + "撂": [ + "ㄌㄧㄠ4" + ], + "撃": [ + "ㄐㄧ1" + ], + "撄": [ + "ㄧㄥ1" + ], + "撅": [ + "ㄐㄩㄝ1", + "ㄐㄩㄝ4", + "ㄐㄩㄝ2", + "ㄍㄨㄟ4" + ], + "撆": [ + "ㄆㄧㄝ1" + ], + "撇": [ + "ㄆㄧㄝ1", + "ㄆㄧㄝ3", + "ㄅㄧㄝ1" + ], + "撈": [ + "ㄌㄠ1" + ], + "撉": [ + "ㄉㄨㄣ1" + ], + "撊": [ + "ㄒㄧㄢ4" + ], + "撋": [ + "ㄖㄨㄢ2", + "ㄖㄨㄟ2", + "ㄖㄨㄣ2", + "ㄖㄨㄛ2", + "ㄙㄨㄟ1" + ], + "撌": [ + "ㄍㄨㄟ4" + ], + "撍": [ + "ㄗㄢ3", + "ㄗㄢ1", + "ㄗㄣ1", + "ㄑㄧㄢ2" + ], + "撎": [ + "ㄧ4" + ], + "撏": [ + "ㄒㄧㄢ2", + "ㄒㄩㄣ2" + ], + "撐": [ + "ㄔㄥ1" + ], + "撑": [ + "ㄔㄥ1" + ], + "撒": [ + "ㄙㄚ1", + "ㄙㄚ3" + ], + "撓": [ + "ㄋㄠ2", + "ㄒㄧㄠ1", + "ㄖㄠ4" + ], + "撔": [ + "ㄏㄨㄥ4" + ], + "撕": [ + "ㄙ1", + "ㄒㄧ1" + ], + "撖": [ + "ㄏㄢ4", + "ㄑㄧㄢ3" + ], + "撗": [ + "ㄍㄨㄤ4" + ], + "撘": [ + "ㄉㄚ1" + ], + "撙": [ + "ㄗㄨㄣ3" + ], + "撚": [ + "ㄋㄧㄢ3" + ], + "撛": [ + "ㄌㄧㄣ3" + ], + "撜": [ + "ㄓㄥ3", + "ㄔㄥ2" + ], + "撝": [ + "ㄏㄨㄟ1", + "ㄨㄟ2" + ], + "撞": [ + "ㄓㄨㄤ4" + ], + "撟": [ + "ㄐㄧㄠ3", + "ㄐㄧㄠ1", + "ㄎㄠ3" + ], + "撠": [ + "ㄐㄧ3" + ], + "撡": [ + "ㄘㄠ1" + ], + "撢": [ + "ㄉㄢ3", + "ㄊㄢ4", + "ㄉㄢ4", + "ㄒㄧㄣ2" + ], + "撣": [ + "ㄉㄢ3", + "ㄉㄢ4", + "ㄔㄢ2", + "ㄊㄢ1", + "ㄓㄢ3", + "ㄕㄢ4", + "ㄊㄧㄢ2" + ], + "撤": [ + "ㄔㄜ4" + ], + "撥": [ + "ㄅㄛ1", + "ㄈㄚ2" + ], + "撦": [ + "ㄔㄜ3" + ], + "撧": [ + "ㄐㄩㄝ1" + ], + "撨": [ + "ㄈㄨ3", + "ㄒㄧㄠ1", + "ㄙㄡ1" + ], + "撩": [ + "ㄌㄧㄠ1", + "ㄌㄧㄠ2", + "ㄌㄧㄠ3", + "ㄌㄠ4", + "ㄌㄧㄠ4" + ], + "撪": [ + "ㄅㄣ4" + ], + "撫": [ + "ㄈㄨ3", + "ㄇㄛ2" + ], + "撬": [ + "ㄑㄧㄠ4" + ], + "播": [ + "ㄅㄛ1", + "ㄅㄛ3" + ], + "撮": [ + "ㄘㄨㄛ1", + "ㄗㄨㄛ3", + "ㄗㄨㄟ4", + "ㄗㄨㄢ1", + "ㄔㄨㄚ1" + ], + "撯": [ + "ㄓㄨㄛ2" + ], + "撰": [ + "ㄓㄨㄢ4", + "ㄒㄩㄢ3", + "ㄙㄨㄢ4" + ], + "撱": [ + "ㄨㄟ3", + "ㄊㄨㄛ3" + ], + "撲": [ + "ㄆㄨ1", + "ㄅㄨ3" + ], + "撳": [ + "ㄑㄧㄣ4" + ], + "撴": [ + "ㄉㄨㄣ1" + ], + "撵": [ + "ㄋㄧㄢ3" + ], + "撶": [ + "ㄏㄨㄚ2" + ], + "撷": [ + "ㄒㄧㄝ2" + ], + "撸": [ + "ㄌㄨ1" + ], + "撹": [ + "ㄐㄧㄠ3" + ], + "撺": [ + "ㄘㄨㄢ1" + ], + "撻": [ + "ㄊㄚ4" + ], + "撼": [ + "ㄏㄢ4" + ], + "撽": [ + "ㄑㄧㄠ4", + "ㄧㄠ1", + "ㄐㄧ1" + ], + "撾": [ + "ㄨㄛ1", + "ㄓㄨㄚ1" + ], + "撿": [ + "ㄐㄧㄢ3", + "ㄌㄧㄢ4" + ], + "擀": [ + "ㄍㄢ3" + ], + "擁": [ + "ㄩㄥ1" + ], + "擂": [ + "ㄌㄟ2", + "ㄌㄟ4", + "ㄌㄟ1" + ], + "擃": [ + "ㄋㄤ3" + ], + "擄": [ + "ㄌㄨ3" + ], + "擅": [ + "ㄕㄢ4" + ], + "擆": [ + "ㄓㄨㄛ2" + ], + "擇": [ + "ㄗㄜ2", + "ㄓㄞ2", + "ㄧ4" + ], + "擈": [ + "ㄆㄨ1" + ], + "擉": [ + "ㄔㄨㄛ4" + ], + "擊": [ + "ㄐㄧ1", + "ㄐㄧ4", + "ㄒㄧ2" + ], + "擋": [ + "ㄉㄤ3", + "ㄉㄤ4" + ], + "擌": [ + "ㄙㄜ4" + ], + "操": [ + "ㄘㄠ1" + ], + "擎": [ + "ㄑㄧㄥ2" + ], + "擏": [ + "ㄑㄧㄥ2", + "ㄐㄧㄥ3", + "ㄐㄧㄥ4" + ], + "擐": [ + "ㄏㄨㄢ4", + "ㄐㄩㄢ3", + "ㄒㄩㄢ1" + ], + "擑": [ + "ㄐㄧㄝ1" + ], + "擒": [ + "ㄑㄧㄣ2" + ], + "擓": [ + "ㄎㄨㄞ3" + ], + "擔": [ + "ㄉㄢ1", + "ㄉㄢ4", + "ㄕㄢ4" + ], + "擕": [ + "ㄒㄧㄝ2" + ], + "擖": [ + "ㄎㄚ1", + "ㄑㄧㄚ1", + "ㄐㄧㄚ1", + "ㄓㄚ2", + "ㄍㄨㄚ1", + "ㄧㄝ4", + "ㄍㄜ1", + "ㄌㄧㄝ4" + ], + "擗": [ + "ㄆㄧ3", + "ㄅㄛ4" + ], + "擘": [ + "ㄅㄞ1", + "ㄅㄛ4" + ], + "擙": [ + "ㄠ4" + ], + "據": [ + "ㄐㄩ4" + ], + "擛": [ + "ㄧㄝ4" + ], + "擜": [ + "ㄜ4" + ], + "擝": [ + "ㄇㄥ1" + ], + "擞": [ + "ㄙㄡ3", + "ㄙㄡ4" + ], + "擟": [ + "ㄇㄧ2" + ], + "擠": [ + "ㄐㄧ3" + ], + "擡": [ + "ㄊㄞ2" + ], + "擢": [ + "ㄓㄨㄛ2" + ], + "擣": [ + "ㄉㄠ3", + "ㄔㄡ2" + ], + "擤": [ + "ㄒㄧㄥ3" + ], + "擥": [ + "ㄌㄢ3" + ], + "擦": [ + "ㄘㄚ1" + ], + "擧": [ + "ㄐㄩ3" + ], + "擨": [ + "ㄧㄝ2" + ], + "擩": [ + "ㄖㄨ3", + "ㄋㄨ3", + "ㄖㄨ4", + "ㄋㄡ4", + "ㄖㄨㄢ2" + ], + "擪": [ + "ㄧㄝ4" + ], + "擫": [ + "ㄧㄝ4" + ], + "擬": [ + "ㄋㄧ3" + ], + "擭": [ + "ㄨㄛ4", + "ㄏㄨㄛ4", + "ㄏㄨ4" + ], + "擮": [ + "ㄐㄧㄝ2" + ], + "擯": [ + "ㄅㄧㄣ4" + ], + "擰": [ + "ㄋㄧㄥ2", + "ㄋㄧㄥ3", + "ㄋㄧㄥ4" + ], + "擱": [ + "ㄍㄜ1", + "ㄍㄜ2" + ], + "擲": [ + "ㄓ4", + "ㄓ1" + ], + "擳": [ + "ㄓ4", + "ㄐㄧㄝ2" + ], + "擴": [ + "ㄎㄨㄛ4", + "ㄊㄤ3", + "ㄍㄨㄤ4" + ], + "擵": [ + "ㄇㄛ2" + ], + "擶": [ + "ㄐㄧㄢ4" + ], + "擷": [ + "ㄒㄧㄝ2" + ], + "擸": [ + "ㄌㄧㄝ4", + "ㄌㄚ4" + ], + "擹": [ + "ㄊㄢ1" + ], + "擺": [ + "ㄅㄞ3" + ], + "擻": [ + "ㄙㄡ3", + "ㄙㄡ4" + ], + "擼": [ + "ㄌㄨ3", + "ㄌㄨ1" + ], + "擽": [ + "ㄌㄩㄝ4", + "ㄌㄧ4", + "ㄩㄝ4" + ], + "擾": [ + "ㄖㄠ3" + ], + "擿": [ + "ㄊㄧ1", + "ㄓ4", + "ㄓㄞ1" + ], + "攀": [ + "ㄆㄢ1" + ], + "攁": [ + "ㄧㄤ3" + ], + "攂": [ + "ㄌㄟ4" + ], + "攃": [ + "ㄘㄚ1", + "ㄙㄚ3" + ], + "攄": [ + "ㄕㄨ1", + "ㄌㄨ4" + ], + "攅": [ + "ㄗㄢ3" + ], + "攆": [ + "ㄋㄧㄢ3" + ], + "攇": [ + "ㄒㄧㄢ3" + ], + "攈": [ + "ㄐㄩㄣ4", + "ㄆㄟ4" + ], + "攉": [ + "ㄏㄨㄛ1", + "ㄏㄨㄛ4", + "ㄑㄩㄝ4" + ], + "攊": [ + "ㄌㄧ4" + ], + "攋": [ + "ㄌㄚ4", + "ㄌㄞ4" + ], + "攌": [ + "ㄏㄨㄢ3" + ], + "攍": [ + "ㄧㄥ2" + ], + "攎": [ + "ㄌㄨ2", + "ㄌㄨㄛ2" + ], + "攏": [ + "ㄌㄨㄥ3" + ], + "攐": [ + "ㄑㄧㄢ1" + ], + "攑": [ + "ㄑㄧㄢ1" + ], + "攒": [ + "ㄗㄢ3", + "ㄘㄨㄢ2" + ], + "攓": [ + "ㄑㄧㄢ1" + ], + "攔": [ + "ㄌㄢ2" + ], + "攕": [ + "ㄒㄧㄢ1", + "ㄐㄧㄢ1" + ], + "攖": [ + "ㄧㄥ1" + ], + "攗": [ + "ㄇㄟ2" + ], + "攘": [ + "ㄖㄤ3", + "ㄖㄤ4", + "ㄋㄧㄥ2", + "ㄒㄧㄤ3" + ], + "攙": [ + "ㄔㄢ1", + "ㄕㄢ4" + ], + "攚": [ + "ㄨㄥ3" + ], + "攛": [ + "ㄘㄨㄢ1" + ], + "攜": [ + "ㄒㄧㄝ2" + ], + "攝": [ + "ㄕㄜ4", + "ㄓㄜ2", + "ㄋㄧㄝ4", + "ㄕㄚ4" + ], + "攞": [ + "ㄌㄨㄛ2", + "ㄌㄨㄛ3" + ], + "攟": [ + "ㄐㄩㄣ4" + ], + "攠": [ + "ㄇㄧ2", + "ㄇㄛ2" + ], + "攡": [ + "ㄔ1" + ], + "攢": [ + "ㄗㄢ3", + "ㄘㄨㄢ2", + "ㄗㄨㄢ1", + "ㄗㄢ4" + ], + "攣": [ + "ㄌㄨㄢ2", + "ㄌㄧㄢ4" + ], + "攤": [ + "ㄊㄢ1", + "ㄋㄢ4" + ], + "攥": [ + "ㄗㄨㄢ4" + ], + "攦": [ + "ㄌㄧ4", + "ㄕㄞ4" + ], + "攧": [ + "ㄉㄧㄢ1" + ], + "攨": [ + "ㄨㄚ1" + ], + "攩": [ + "ㄉㄤ3", + "ㄊㄤ3" + ], + "攪": [ + "ㄐㄧㄠ3" + ], + "攫": [ + "ㄐㄩㄝ2" + ], + "攬": [ + "ㄌㄢ3" + ], + "攭": [ + "ㄌㄧ4", + "ㄌㄨㄛ3" + ], + "攮": [ + "ㄋㄤ3" + ], + "支": [ + "ㄓ1", + "ㄓ4", + "ㄑㄧ2" + ], + "攰": [ + "ㄍㄨㄟ4" + ], + "攱": [ + "ㄍㄨㄟ3", + "ㄍㄨㄟ4" + ], + "攲": [ + "ㄑㄧ1", + "ㄐㄧ1" + ], + "攳": [ + "ㄒㄩㄣ2" + ], + "攴": [ + "ㄆㄨ1" + ], + "攵": [ + "ㄆㄨ1" + ], + "收": [ + "ㄕㄡ1" + ], + "攷": [ + "ㄎㄠ3" + ], + "攸": [ + "ㄧㄡ1" + ], + "改": [ + "ㄍㄞ3" + ], + "攺": [ + "ㄧ3" + ], + "攻": [ + "ㄍㄨㄥ1" + ], + "攼": [ + "ㄍㄢ1", + "ㄏㄢ4" + ], + "攽": [ + "ㄅㄢ1", + "ㄅㄧㄣ1" + ], + "放": [ + "ㄈㄤ4", + "ㄈㄤ3", + "ㄈㄤ1" + ], + "政": [ + "ㄓㄥ4", + "ㄓㄥ1" + ], + "敀": [ + "ㄆㄛ4" + ], + "敁": [ + "ㄉㄧㄢ1" + ], + "敂": [ + "ㄎㄡ4" + ], + "敃": [ + "ㄇㄧㄣ3", + "ㄈㄣ1" + ], + "敄": [ + "ㄨ4", + "ㄇㄡ2" + ], + "故": [ + "ㄍㄨ4" + ], + "敆": [ + "ㄏㄜ2" + ], + "敇": [ + "ㄘㄜ4" + ], + "效": [ + "ㄒㄧㄠ4" + ], + "敉": [ + "ㄇㄧ3" + ], + "敊": [ + "ㄔㄨ4", + "ㄕㄡ1" + ], + "敋": [ + "ㄍㄜ2" + ], + "敌": [ + "ㄉㄧ2", + "ㄏㄨㄚ2" + ], + "敍": [ + "ㄒㄩ4" + ], + "敎": [ + "ㄐㄧㄠ4" + ], + "敏": [ + "ㄇㄧㄣ3" + ], + "敐": [ + "ㄔㄣ2" + ], + "救": [ + "ㄐㄧㄡ4", + "ㄐㄧㄡ1" + ], + "敒": [ + "ㄕㄣ1" + ], + "敓": [ + "ㄉㄨㄛ2" + ], + "敔": [ + "ㄩ3", + "ㄩ4" + ], + "敕": [ + "ㄔ4", + "ㄙㄡ1" + ], + "敖": [ + "ㄠ2", + "ㄠ4" + ], + "敗": [ + "ㄅㄞ4" + ], + "敘": [ + "ㄒㄩ4" + ], + "教": [ + "ㄐㄧㄠ4", + "ㄐㄧㄠ1" + ], + "敚": [ + "ㄉㄨㄛ2" + ], + "敛": [ + "ㄌㄧㄢ3" + ], + "敜": [ + "ㄋㄧㄝ4" + ], + "敝": [ + "ㄅㄧ4" + ], + "敞": [ + "ㄔㄤ3", + "ㄔㄥ4", + "ㄓㄥ4" + ], + "敟": [ + "ㄉㄧㄢ3" + ], + "敠": [ + "ㄉㄨㄛ1", + "ㄑㄩㄝ4" + ], + "敡": [ + "ㄧ4" + ], + "敢": [ + "ㄍㄢ3" + ], + "散": [ + "ㄙㄢ4", + "ㄙㄢ3", + "ㄙㄢ1" + ], + "敤": [ + "ㄎㄜ3" + ], + "敥": [ + "ㄧㄢ4", + "ㄐㄧㄠ3" + ], + "敦": [ + "ㄉㄨㄣ1", + "ㄉㄨㄟ1", + "ㄊㄨㄢ2", + "ㄉㄧㄠ1", + "ㄉㄨㄣ4", + "ㄉㄠ4", + "ㄓㄨㄣ3", + "ㄊㄨㄣ1", + "ㄉㄨㄟ4", + "ㄊㄨㄣ2" + ], + "敧": [ + "ㄐㄧ1", + "ㄑㄧ3" + ], + "敨": [ + "ㄊㄡ3" + ], + "敩": [ + "ㄒㄧㄠ4", + "ㄒㄩㄝ2" + ], + "敪": [ + "ㄉㄨㄛ1" + ], + "敫": [ + "ㄐㄧㄠ3", + "ㄑㄧㄠ1", + "ㄐㄧㄠ4" + ], + "敬": [ + "ㄐㄧㄥ4" + ], + "敭": [ + "ㄧㄤ2" + ], + "敮": [ + "ㄒㄧㄚ2" + ], + "敯": [ + "ㄇㄧㄣ3" + ], + "数": [ + "ㄕㄨ4", + "ㄕㄨ3", + "ㄕㄨㄛ4" + ], + "敱": [ + "ㄞ2", + "ㄓㄨ2" + ], + "敲": [ + "ㄑㄧㄠ1" + ], + "敳": [ + "ㄞ2" + ], + "整": [ + "ㄓㄥ3" + ], + "敵": [ + "ㄉㄧ2" + ], + "敶": [ + "ㄓㄣ4" + ], + "敷": [ + "ㄈㄨ1" + ], + "數": [ + "ㄕㄨ4", + "ㄕㄨ3", + "ㄕㄨㄛ4" + ], + "敹": [ + "ㄌㄧㄠ2" + ], + "敺": [ + "ㄑㄩ1", + "ㄡ1" + ], + "敻": [ + "ㄒㄩㄥ4" + ], + "敼": [ + "ㄧ3" + ], + "敽": [ + "ㄐㄧㄠ3" + ], + "敾": [ + "ㄕㄢ4" + ], + "敿": [ + "ㄐㄧㄠ3" + ], + "斀": [ + "ㄓㄨㄛ2", + "ㄓㄨ2" + ], + "斁": [ + "ㄧ4", + "ㄉㄨ4", + "ㄊㄨ2" + ], + "斂": [ + "ㄌㄧㄢ3", + "ㄌㄧㄢ2" + ], + "斃": [ + "ㄅㄧ4" + ], + "斄": [ + "ㄌㄧ2", + "ㄊㄞ2" + ], + "斅": [ + "ㄒㄧㄠ4", + "ㄒㄩㄝ2" + ], + "斆": [ + "ㄒㄧㄠ4" + ], + "文": [ + "ㄨㄣ2" + ], + "斈": [ + "ㄒㄩㄝ2" + ], + "斉": [ + "ㄑㄧ2" + ], + "斊": [ + "ㄑㄧ2" + ], + "斋": [ + "ㄓㄞ1" + ], + "斌": [ + "ㄅㄧㄣ1" + ], + "斍": [ + "ㄐㄩㄝ2" + ], + "斎": [ + "ㄓㄞ1" + ], + "斏": [ + "ㄌㄤ2" + ], + "斐": [ + "ㄈㄟ3" + ], + "斑": [ + "ㄅㄢ1" + ], + "斒": [ + "ㄅㄢ1" + ], + "斓": [ + "ㄌㄢ2" + ], + "斔": [ + "ㄩ3" + ], + "斕": [ + "ㄌㄢ2" + ], + "斖": [ + "ㄨㄟ3" + ], + "斗": [ + "ㄉㄡ4", + "ㄉㄡ3", + "ㄓㄨ3" + ], + "斘": [ + "ㄕㄥ1" + ], + "料": [ + "ㄌㄧㄠ4", + "ㄌㄧㄠ2" + ], + "斚": [ + "ㄐㄧㄚ3" + ], + "斛": [ + "ㄏㄨ2" + ], + "斜": [ + "ㄒㄧㄝ2", + "ㄒㄧㄚ2", + "ㄔㄚ2", + "ㄧㄝ2" + ], + "斝": [ + "ㄐㄧㄚ3" + ], + "斞": [ + "ㄩ3" + ], + "斟": [ + "ㄓㄣ1" + ], + "斠": [ + "ㄐㄧㄠ4" + ], + "斡": [ + "ㄨㄛ4", + "ㄍㄨㄢ3" + ], + "斢": [ + "ㄊㄧㄠ3", + "ㄊㄡ3" + ], + "斣": [ + "ㄉㄡ4" + ], + "斤": [ + "ㄐㄧㄣ1" + ], + "斥": [ + "ㄔ4", + "ㄔㄜ4", + "ㄓㄜ4" + ], + "斦": [ + "ㄧㄣ2", + "ㄓ4" + ], + "斧": [ + "ㄈㄨ3" + ], + "斨": [ + "ㄑㄧㄤ1" + ], + "斩": [ + "ㄓㄢ3" + ], + "斪": [ + "ㄑㄩ2" + ], + "斫": [ + "ㄓㄨㄛ2", + "ㄔㄨㄛ4" + ], + "斬": [ + "ㄓㄢ3", + "ㄓㄢ4" + ], + "断": [ + "ㄉㄨㄢ4" + ], + "斮": [ + "ㄘㄨㄛ4", + "ㄓㄨㄛ2" + ], + "斯": [ + "ㄙ1", + "ㄕ3" + ], + "新": [ + "ㄒㄧㄣ1" + ], + "斱": [ + "ㄓㄨㄛ2" + ], + "斲": [ + "ㄓㄨㄛ2" + ], + "斳": [ + "ㄑㄧㄣ2", + "ㄐㄧㄣ3" + ], + "斴": [ + "ㄌㄧㄣ2" + ], + "斵": [ + "ㄓㄨㄛ2" + ], + "斶": [ + "ㄔㄨ4" + ], + "斷": [ + "ㄉㄨㄢ4" + ], + "斸": [ + "ㄓㄨ3", + "ㄓㄨ2" + ], + "方": [ + "ㄈㄤ1", + "ㄈㄤ2", + "ㄈㄤ3", + "ㄆㄤ2", + "ㄨㄤ3", + "ㄈㄥ1" + ], + "斺": [ + "ㄔㄢ3", + "ㄐㄧㄝ4" + ], + "斻": [ + "ㄏㄤ2" + ], + "於": [ + "ㄩ2", + "ㄩ1", + "ㄨ1" + ], + "施": [ + "ㄕ1", + "ㄧ4", + "ㄕ3" + ], + "斾": [ + "ㄆㄟ4" + ], + "斿": [ + "ㄧㄡ2", + "ㄌㄧㄡ2" + ], + "旀": [ + "ㄇㄟ4" + ], + "旁": [ + "ㄆㄤ2", + "ㄆㄥ1", + "ㄅㄥ1", + "ㄅㄤ4" + ], + "旂": [ + "ㄑㄧ2" + ], + "旃": [ + "ㄓㄢ1" + ], + "旄": [ + "ㄇㄠ2", + "ㄇㄠ4", + "ㄨ4" + ], + "旅": [ + "ㄌㄩ3" + ], + "旆": [ + "ㄆㄟ4" + ], + "旇": [ + "ㄆㄧ1", + "ㄅㄧ4" + ], + "旈": [ + "ㄌㄧㄡ2" + ], + "旉": [ + "ㄈㄨ1" + ], + "旊": [ + "ㄈㄤ3" + ], + "旋": [ + "ㄒㄩㄢ2", + "ㄒㄩㄢ4" + ], + "旌": [ + "ㄐㄧㄥ1" + ], + "旍": [ + "ㄐㄧㄥ1" + ], + "旎": [ + "ㄋㄧ3" + ], + "族": [ + "ㄗㄨ2", + "ㄙㄡ3", + "ㄘㄡ4", + "ㄗㄡ4" + ], + "旐": [ + "ㄓㄠ4" + ], + "旑": [ + "ㄧ3" + ], + "旒": [ + "ㄌㄧㄡ2" + ], + "旓": [ + "ㄕㄠ1" + ], + "旔": [ + "ㄐㄧㄢ4" + ], + "旕": [ + "ㄩ2" + ], + "旖": [ + "ㄧ3" + ], + "旗": [ + "ㄑㄧ2" + ], + "旘": [ + "ㄓ4" + ], + "旙": [ + "ㄈㄢ1" + ], + "旚": [ + "ㄆㄧㄠ1" + ], + "旛": [ + "ㄈㄢ1" + ], + "旜": [ + "ㄓㄢ1" + ], + "旝": [ + "ㄎㄨㄞ4" + ], + "旞": [ + "ㄙㄨㄟ4" + ], + "旟": [ + "ㄩ2" + ], + "无": [ + "ㄨ2", + "ㄇㄛ2" + ], + "旡": [ + "ㄐㄧ4" + ], + "既": [ + "ㄐㄧ4", + "ㄒㄧ4" + ], + "旣": [ + "ㄐㄧ4" + ], + "旤": [ + "ㄏㄨㄛ4" + ], + "日": [ + "ㄖ4" + ], + "旦": [ + "ㄉㄢ4" + ], + "旧": [ + "ㄐㄧㄡ4" + ], + "旨": [ + "ㄓ3" + ], + "早": [ + "ㄗㄠ3" + ], + "旪": [ + "ㄒㄧㄝ2" + ], + "旫": [ + "ㄊㄧㄠ1" + ], + "旬": [ + "ㄒㄩㄣ2", + "ㄐㄩㄣ1" + ], + "旭": [ + "ㄒㄩ4" + ], + "旮": [ + "ㄍㄚ1", + "ㄒㄩ4" + ], + "旯": [ + "ㄌㄚ2" + ], + "旰": [ + "ㄍㄢ4", + "ㄏㄢ4" + ], + "旱": [ + "ㄏㄢ4" + ], + "旲": [ + "ㄊㄞ2", + "ㄧㄥ1" + ], + "旳": [ + "ㄉㄧ4" + ], + "旴": [ + "ㄒㄩ1" + ], + "旵": [ + "ㄔㄢ3" + ], + "时": [ + "ㄕ2" + ], + "旷": [ + "ㄎㄨㄤ4" + ], + "旸": [ + "ㄧㄤ2" + ], + "旹": [ + "ㄕ2" + ], + "旺": [ + "ㄨㄤ4" + ], + "旻": [ + "ㄇㄧㄣ2" + ], + "旼": [ + "ㄇㄧㄣ2" + ], + "旽": [ + "ㄊㄨㄣ1", + "ㄓㄨㄣ4" + ], + "旾": [ + "ㄔㄨㄣ1" + ], + "旿": [ + "ㄨ3", + "ㄨ4" + ], + "昀": [ + "ㄩㄣ2" + ], + "昁": [ + "ㄅㄟ4" + ], + "昂": [ + "ㄤ2", + "ㄧㄤ4" + ], + "昃": [ + "ㄗㄜ4" + ], + "昄": [ + "ㄅㄢ3" + ], + "昅": [ + "ㄐㄧㄝ2" + ], + "昆": [ + "ㄎㄨㄣ1", + "ㄏㄨㄣ2", + "ㄎㄨㄣ4" + ], + "昇": [ + "ㄕㄥ1" + ], + "昈": [ + "ㄏㄨ4" + ], + "昉": [ + "ㄈㄤ3" + ], + "昊": [ + "ㄏㄠ4" + ], + "昋": [ + "ㄍㄨㄟ4", + "ㄐㄩㄥ3" + ], + "昌": [ + "ㄔㄤ1", + "ㄔㄤ4" + ], + "昍": [ + "ㄒㄩㄢ1" + ], + "明": [ + "ㄇㄧㄥ2", + "ㄇㄥ4" + ], + "昏": [ + "ㄏㄨㄣ1", + "ㄏㄨㄣ4" + ], + "昐": [ + "ㄈㄣ1" + ], + "昑": [ + "ㄑㄧㄣ3" + ], + "昒": [ + "ㄏㄨ1" + ], + "易": [ + "ㄧ4" + ], + "昔": [ + "ㄒㄧ1", + "ㄘㄨㄛ4" + ], + "昕": [ + "ㄒㄧㄣ1", + "ㄒㄩㄢ1" + ], + "昖": [ + "ㄧㄢ2" + ], + "昗": [ + "ㄗㄜ4" + ], + "昘": [ + "ㄈㄤ3" + ], + "昙": [ + "ㄊㄢ2", + "ㄩ4" + ], + "昚": [ + "ㄕㄣ4" + ], + "昛": [ + "ㄐㄩ4" + ], + "昜": [ + "ㄧㄤ2" + ], + "昝": [ + "ㄗㄢ3" + ], + "昞": [ + "ㄅㄧㄥ3", + "ㄈㄤ3" + ], + "星": [ + "ㄒㄧㄥ1" + ], + "映": [ + "ㄧㄥ4", + "ㄧㄤ3" + ], + "昡": [ + "ㄒㄩㄢ4" + ], + "昢": [ + "ㄆㄛ4", + "ㄆㄟ4" + ], + "昣": [ + "ㄓㄣ3" + ], + "昤": [ + "ㄌㄧㄥ2" + ], + "春": [ + "ㄔㄨㄣ1", + "ㄔㄨㄣ3" + ], + "昦": [ + "ㄏㄠ4" + ], + "昧": [ + "ㄇㄟ4", + "ㄨㄣ3", + "ㄇㄛ4" + ], + "昨": [ + "ㄗㄨㄛ2" + ], + "昩": [ + "ㄇㄛ4" + ], + "昪": [ + "ㄅㄧㄢ4" + ], + "昫": [ + "ㄒㄩ4", + "ㄒㄩㄥ3" + ], + "昬": [ + "ㄏㄨㄣ1" + ], + "昭": [ + "ㄓㄠ1", + "ㄓㄠ4" + ], + "昮": [ + "ㄗㄨㄥ4" + ], + "是": [ + "ㄕ4", + "ㄊㄧ2" + ], + "昰": [ + "ㄕ4", + "ㄒㄧㄚ4" + ], + "昱": [ + "ㄩ4" + ], + "昲": [ + "ㄈㄟ4" + ], + "昳": [ + "ㄉㄧㄝ2", + "ㄉㄧㄝ4", + "ㄧ4" + ], + "昴": [ + "ㄇㄠ3" + ], + "昵": [ + "ㄋㄧ4", + "ㄋㄧ3", + "ㄓ4" + ], + "昶": [ + "ㄔㄤ3" + ], + "昷": [ + "ㄨㄣ1" + ], + "昸": [ + "ㄉㄨㄥ1" + ], + "昹": [ + "ㄞ3" + ], + "昺": [ + "ㄅㄧㄥ3" + ], + "昻": [ + "ㄤ2" + ], + "昼": [ + "ㄓㄡ4" + ], + "昽": [ + "ㄌㄨㄥ2" + ], + "显": [ + "ㄒㄧㄢ3" + ], + "昿": [ + "ㄎㄨㄤ4" + ], + "晀": [ + "ㄊㄧㄠ3" + ], + "晁": [ + "ㄔㄠ2", + "ㄓㄠ1", + "ㄔㄠ4" + ], + "時": [ + "ㄕ2" + ], + "晃": [ + "ㄏㄨㄤ3", + "ㄏㄨㄤ4" + ], + "晄": [ + "ㄏㄨㄤ3" + ], + "晅": [ + "ㄒㄩㄢ3", + "ㄒㄩㄢ1" + ], + "晆": [ + "ㄎㄨㄟ2" + ], + "晇": [ + "ㄒㄩ1", + "ㄎㄨㄚ1" + ], + "晈": [ + "ㄐㄧㄠ3" + ], + "晉": [ + "ㄐㄧㄣ4" + ], + "晊": [ + "ㄓ4" + ], + "晋": [ + "ㄐㄧㄣ4" + ], + "晌": [ + "ㄕㄤ3" + ], + "晍": [ + "ㄊㄨㄥ2" + ], + "晎": [ + "ㄏㄨㄥ3" + ], + "晏": [ + "ㄧㄢ4" + ], + "晐": [ + "ㄍㄞ1" + ], + "晑": [ + "ㄒㄧㄤ3" + ], + "晒": [ + "ㄕㄞ4" + ], + "晓": [ + "ㄒㄧㄠ3" + ], + "晔": [ + "ㄧㄝ4" + ], + "晕": [ + "ㄩㄣ1", + "ㄩㄣ4" + ], + "晖": [ + "ㄏㄨㄟ1" + ], + "晗": [ + "ㄏㄢ2" + ], + "晘": [ + "ㄏㄢ4" + ], + "晙": [ + "ㄐㄩㄣ4" + ], + "晚": [ + "ㄨㄢ3" + ], + "晛": [ + "ㄒㄧㄢ4" + ], + "晜": [ + "ㄎㄨㄣ1" + ], + "晝": [ + "ㄓㄡ4" + ], + "晞": [ + "ㄒㄧ1" + ], + "晟": [ + "ㄔㄥ2", + "ㄕㄥ4", + "ㄐㄧㄥ1" + ], + "晠": [ + "ㄕㄥ4" + ], + "晡": [ + "ㄅㄨ1" + ], + "晢": [ + "ㄓㄜ2", + "ㄓ4" + ], + "晣": [ + "ㄓㄜ2" + ], + "晤": [ + "ㄨ4" + ], + "晥": [ + "ㄨㄢ3" + ], + "晦": [ + "ㄏㄨㄟ4" + ], + "晧": [ + "ㄏㄠ4" + ], + "晨": [ + "ㄔㄣ2" + ], + "晩": [ + "ㄨㄢ3" + ], + "晪": [ + "ㄊㄧㄢ3" + ], + "晫": [ + "ㄓㄨㄛ2" + ], + "晬": [ + "ㄗㄨㄟ4" + ], + "晭": [ + "ㄓㄡ3" + ], + "普": [ + "ㄆㄨ3" + ], + "景": [ + "ㄐㄧㄥ3", + "ㄧㄥ3" + ], + "晰": [ + "ㄒㄧ1" + ], + "晱": [ + "ㄕㄢ3" + ], + "晲": [ + "ㄋㄧ3" + ], + "晳": [ + "ㄒㄧ1" + ], + "晴": [ + "ㄑㄧㄥ2" + ], + "晵": [ + "ㄑㄧ3", + "ㄉㄨ4" + ], + "晶": [ + "ㄐㄧㄥ1" + ], + "晷": [ + "ㄍㄨㄟ3" + ], + "晸": [ + "ㄓㄥ3" + ], + "晹": [ + "ㄧ4" + ], + "智": [ + "ㄓ4", + "ㄓ1" + ], + "晻": [ + "ㄢ4", + "ㄢ3", + "ㄧㄢ3" + ], + "晼": [ + "ㄨㄢ3" + ], + "晽": [ + "ㄌㄧㄣ2" + ], + "晾": [ + "ㄌㄧㄤ4" + ], + "晿": [ + "ㄔㄤ1" + ], + "暀": [ + "ㄨㄤ3", + "ㄨㄤ4" + ], + "暁": [ + "ㄒㄧㄠ3" + ], + "暂": [ + "ㄗㄢ4" + ], + "暃": [ + "ㄈㄟ1" + ], + "暄": [ + "ㄒㄩㄢ1" + ], + "暅": [ + "ㄍㄥ4", + "ㄒㄩㄢ3" + ], + "暆": [ + "ㄧ2" + ], + "暇": [ + "ㄒㄧㄚ2", + "ㄒㄧㄚ4", + "ㄐㄧㄚ3" + ], + "暈": [ + "ㄩㄣ1", + "ㄩㄣ4" + ], + "暉": [ + "ㄏㄨㄟ1" + ], + "暊": [ + "ㄒㄩ3" + ], + "暋": [ + "ㄇㄧㄣ3", + "ㄇㄧㄣ2" + ], + "暌": [ + "ㄎㄨㄟ2" + ], + "暍": [ + "ㄧㄝ1" + ], + "暎": [ + "ㄧㄥ4" + ], + "暏": [ + "ㄕㄨ3", + "ㄉㄨ3" + ], + "暐": [ + "ㄨㄟ3" + ], + "暑": [ + "ㄕㄨ3" + ], + "暒": [ + "ㄑㄧㄥ2" + ], + "暓": [ + "ㄇㄠ4" + ], + "暔": [ + "ㄋㄢ2" + ], + "暕": [ + "ㄐㄧㄢ3", + "ㄌㄢ2" + ], + "暖": [ + "ㄋㄨㄢ3", + "ㄒㄩㄢ1" + ], + "暗": [ + "ㄢ4" + ], + "暘": [ + "ㄧㄤ2" + ], + "暙": [ + "ㄔㄨㄣ1" + ], + "暚": [ + "ㄧㄠ2" + ], + "暛": [ + "ㄙㄨㄛ3" + ], + "暜": [ + "ㄆㄨ3" + ], + "暝": [ + "ㄇㄧㄥ2" + ], + "暞": [ + "ㄐㄧㄠ3" + ], + "暟": [ + "ㄎㄞ3" + ], + "暠": [ + "ㄍㄠ3", + "ㄏㄠ4" + ], + "暡": [ + "ㄨㄥ3" + ], + "暢": [ + "ㄔㄤ4" + ], + "暣": [ + "ㄑㄧ4" + ], + "暤": [ + "ㄏㄠ4" + ], + "暥": [ + "ㄧㄢ4" + ], + "暦": [ + "ㄌㄧ4" + ], + "暧": [ + "ㄞ4", + "ㄋㄨㄢ3" + ], + "暨": [ + "ㄐㄧ4", + "ㄐㄧㄝ4" + ], + "暩": [ + "ㄐㄧ4" + ], + "暪": [ + "ㄇㄣ4" + ], + "暫": [ + "ㄗㄢ4" + ], + "暬": [ + "ㄒㄧㄝ4" + ], + "暭": [ + "ㄏㄠ4" + ], + "暮": [ + "ㄇㄨ4" + ], + "暯": [ + "ㄇㄛ4" + ], + "暰": [ + "ㄘㄨㄥ1" + ], + "暱": [ + "ㄋㄧ4" + ], + "暲": [ + "ㄓㄤ1" + ], + "暳": [ + "ㄏㄨㄟ4" + ], + "暴": [ + "ㄅㄠ4", + "ㄆㄨ4", + "ㄅㄛ2" + ], + "暵": [ + "ㄏㄢ4" + ], + "暶": [ + "ㄒㄩㄢ2" + ], + "暷": [ + "ㄔㄨㄢ2" + ], + "暸": [ + "ㄌㄧㄠ2" + ], + "暹": [ + "ㄒㄧㄢ1" + ], + "暺": [ + "ㄊㄢ3" + ], + "暻": [ + "ㄐㄧㄥ3" + ], + "暼": [ + "ㄆㄧㄝ1" + ], + "暽": [ + "ㄌㄧㄣ2" + ], + "暾": [ + "ㄊㄨㄣ1" + ], + "暿": [ + "ㄒㄧ3", + "ㄒㄧ1" + ], + "曀": [ + "ㄧ4" + ], + "曁": [ + "ㄐㄧ4" + ], + "曂": [ + "ㄏㄨㄤ4" + ], + "曃": [ + "ㄉㄞ4" + ], + "曄": [ + "ㄧㄝ4" + ], + "曅": [ + "ㄧㄝ4" + ], + "曆": [ + "ㄌㄧ4" + ], + "曇": [ + "ㄊㄢ2" + ], + "曈": [ + "ㄊㄨㄥ2" + ], + "曉": [ + "ㄒㄧㄠ3" + ], + "曊": [ + "ㄈㄟ4" + ], + "曋": [ + "ㄕㄣ3" + ], + "曌": [ + "ㄓㄠ4" + ], + "曍": [ + "ㄏㄠ4" + ], + "曎": [ + "ㄧ4" + ], + "曏": [ + "ㄒㄧㄤ3", + "ㄒㄧㄤ4", + "ㄕㄤ3" + ], + "曐": [ + "ㄒㄧㄥ1" + ], + "曑": [ + "ㄕㄣ1" + ], + "曒": [ + "ㄐㄧㄠ3" + ], + "曓": [ + "ㄅㄠ4" + ], + "曔": [ + "ㄐㄧㄥ4" + ], + "曕": [ + "ㄧㄢ4" + ], + "曖": [ + "ㄞ4" + ], + "曗": [ + "ㄧㄝ4" + ], + "曘": [ + "ㄖㄨ2" + ], + "曙": [ + "ㄕㄨ3" + ], + "曚": [ + "ㄇㄥ2" + ], + "曛": [ + "ㄒㄩㄣ1" + ], + "曜": [ + "ㄧㄠ4" + ], + "曝": [ + "ㄆㄨ4", + "ㄅㄠ4" + ], + "曞": [ + "ㄌㄧ4" + ], + "曟": [ + "ㄔㄣ2" + ], + "曠": [ + "ㄎㄨㄤ4" + ], + "曡": [ + "ㄉㄧㄝ2" + ], + "曢": [ + "ㄌㄧㄠ3" + ], + "曣": [ + "ㄧㄢ4" + ], + "曤": [ + "ㄏㄨㄛ4" + ], + "曥": [ + "ㄌㄨ2" + ], + "曦": [ + "ㄒㄧ1" + ], + "曧": [ + "ㄖㄨㄥ2" + ], + "曨": [ + "ㄌㄨㄥ2" + ], + "曩": [ + "ㄋㄤ3" + ], + "曪": [ + "ㄌㄨㄛ3" + ], + "曫": [ + "ㄌㄨㄢ2" + ], + "曬": [ + "ㄕㄞ4" + ], + "曭": [ + "ㄊㄤ3" + ], + "曮": [ + "ㄧㄢ3" + ], + "曯": [ + "ㄓㄨ2" + ], + "曰": [ + "ㄩㄝ1" + ], + "曱": [ + "ㄩㄝ1" + ], + "曲": [ + "ㄑㄩ1", + "ㄑㄩ3" + ], + "曳": [ + "ㄧㄝ4" + ], + "更": [ + "ㄍㄥ4", + "ㄍㄥ1" + ], + "曵": [ + "ㄧㄝ4" + ], + "曶": [ + "ㄏㄨ1" + ], + "曷": [ + "ㄏㄜ2", + "ㄜ4", + "ㄏㄜ4" + ], + "書": [ + "ㄕㄨ1" + ], + "曹": [ + "ㄘㄠ2" + ], + "曺": [ + "ㄘㄠ2" + ], + "曻": [ + "ㄕㄥ1" + ], + "曼": [ + "ㄇㄢ4" + ], + "曽": [ + "ㄘㄥ1" + ], + "曾": [ + "ㄘㄥ2", + "ㄗㄥ1" + ], + "替": [ + "ㄊㄧ4" + ], + "最": [ + "ㄗㄨㄟ4", + "ㄘㄨㄛ1" + ], + "朁": [ + "ㄘㄢ3", + "ㄑㄧㄢ2", + "ㄐㄧㄢ4" + ], + "朂": [ + "ㄒㄩ4" + ], + "會": [ + "ㄏㄨㄟ4", + "ㄎㄨㄞ4", + "ㄎㄨㄛ4" + ], + "朄": [ + "ㄧㄣ3" + ], + "朅": [ + "ㄑㄧㄝ4" + ], + "朆": [ + "ㄈㄣ1" + ], + "朇": [ + "ㄆㄧ2" + ], + "月": [ + "ㄩㄝ4", + "ㄖㄨ4" + ], + "有": [ + "ㄧㄡ3", + "ㄧㄡ4", + "ㄨㄟ3" + ], + "朊": [ + "ㄖㄨㄢ3", + "ㄨㄢ3" + ], + "朋": [ + "ㄆㄥ2" + ], + "朌": [ + "ㄈㄣ2", + "ㄅㄢ1" + ], + "服": [ + "ㄈㄨ2", + "ㄈㄨ4", + "ㄅㄧ4", + "ㄅㄛ2" + ], + "朎": [ + "ㄌㄧㄥ2" + ], + "朏": [ + "ㄈㄟ3", + "ㄎㄨ1" + ], + "朐": [ + "ㄑㄩ2", + "ㄒㄩ1", + "ㄒㄩ4", + "ㄔㄨㄣ3" + ], + "朑": [ + "ㄊㄧ4" + ], + "朒": [ + "ㄋㄩ4" + ], + "朓": [ + "ㄊㄧㄠ3", + "ㄊㄧㄠ4", + "ㄧㄡ2" + ], + "朔": [ + "ㄕㄨㄛ4" + ], + "朕": [ + "ㄓㄣ4" + ], + "朖": [ + "ㄌㄤ3" + ], + "朗": [ + "ㄌㄤ3" + ], + "朘": [ + "ㄗㄨㄟ1", + "ㄐㄩㄢ1" + ], + "朙": [ + "ㄇㄧㄥ2" + ], + "朚": [ + "ㄏㄨㄤ1", + "ㄇㄤ2", + "ㄨㄤ2", + "ㄇㄥ4" + ], + "望": [ + "ㄨㄤ4" + ], + "朜": [ + "ㄊㄨㄣ1" + ], + "朝": [ + "ㄔㄠ2", + "ㄓㄠ1", + "ㄓㄨ1" + ], + "朞": [ + "ㄐㄧ1", + "ㄑㄧ1" + ], + "期": [ + "ㄑㄧ1", + "ㄐㄧ1" + ], + "朠": [ + "ㄧㄥ1" + ], + "朡": [ + "ㄗㄨㄥ1" + ], + "朢": [ + "ㄨㄤ4" + ], + "朣": [ + "ㄊㄨㄥ2", + "ㄔㄨㄤ2" + ], + "朤": [ + "ㄌㄤ3" + ], + "朥": [ + "ㄌㄠ2" + ], + "朦": [ + "ㄇㄥ2", + "ㄇㄤ3" + ], + "朧": [ + "ㄌㄨㄥ2", + "ㄌㄨㄥ3" + ], + "木": [ + "ㄇㄨ4" + ], + "朩": [ + "ㄉㄥ3" + ], + "未": [ + "ㄨㄟ4" + ], + "末": [ + "ㄇㄛ4", + "ㄇㄜ5" + ], + "本": [ + "ㄅㄣ3", + "ㄅㄣ1" + ], + "札": [ + "ㄓㄚ2", + "ㄧㄚ4" + ], + "朮": [ + "ㄕㄨ4", + "ㄓㄨ2" + ], + "术": [ + "ㄕㄨ4", + "ㄓㄨ2", + "ㄕㄨ2" + ], + "朰": [ + "ㄇㄨ4" + ], + "朱": [ + "ㄓㄨ1", + "ㄕㄨ1" + ], + "朲": [ + "ㄖㄣ2" + ], + "朳": [ + "ㄅㄚ1" + ], + "朴": [ + "ㄆㄨ3", + "ㄆㄧㄠ2", + "ㄆㄛ4", + "ㄆㄨ1", + "ㄆㄛ1" + ], + "朵": [ + "ㄉㄨㄛ3" + ], + "朶": [ + "ㄉㄨㄛ3" + ], + "朷": [ + "ㄉㄠ1", + "ㄇㄨ4", + "ㄊㄧㄠ2" + ], + "朸": [ + "ㄌㄧ4" + ], + "朹": [ + "ㄍㄨㄟ3", + "ㄑㄧㄡ2" + ], + "机": [ + "ㄐㄧ1", + "ㄨㄟ4" + ], + "朻": [ + "ㄐㄧㄡ1" + ], + "朼": [ + "ㄅㄧ3" + ], + "朽": [ + "ㄒㄧㄡ3" + ], + "朾": [ + "ㄔㄥ2", + "ㄓㄥ1", + "ㄔㄥ1", + "ㄊㄧㄥ1" + ], + "朿": [ + "ㄘ4" + ], + "杀": [ + "ㄕㄚ1" + ], + "杁": [ + "ㄖㄨ4" + ], + "杂": [ + "ㄗㄚ2", + "ㄉㄨㄛ3" + ], + "权": [ + "ㄑㄩㄢ2" + ], + "杄": [ + "ㄑㄧㄢ1" + ], + "杅": [ + "ㄩ2", + "ㄨ1" + ], + "杆": [ + "ㄍㄢ1", + "ㄍㄢ3", + "ㄍㄢ4" + ], + "杇": [ + "ㄨ1" + ], + "杈": [ + "ㄔㄚ1", + "ㄔㄚ4" + ], + "杉": [ + "ㄕㄢ1", + "ㄕㄚ1" + ], + "杊": [ + "ㄒㄩㄣ2" + ], + "杋": [ + "ㄈㄢ2" + ], + "杌": [ + "ㄨ4", + "ㄨㄛ4" + ], + "杍": [ + "ㄗ3" + ], + "李": [ + "ㄌㄧ3" + ], + "杏": [ + "ㄒㄧㄥ4" + ], + "材": [ + "ㄘㄞ2" + ], + "村": [ + "ㄘㄨㄣ1" + ], + "杒": [ + "ㄖㄣ4", + "ㄦ2" + ], + "杓": [ + "ㄅㄧㄠ1", + "ㄕㄠ2", + "ㄕㄨㄛ2", + "ㄉㄧ2", + "ㄓㄨㄛ2" + ], + "杔": [ + "ㄊㄨㄛ1", + "ㄓㄜ2" + ], + "杕": [ + "ㄉㄧ4", + "ㄉㄨㄛ4" + ], + "杖": [ + "ㄓㄤ4" + ], + "杗": [ + "ㄇㄤ2" + ], + "杘": [ + "ㄔ4" + ], + "杙": [ + "ㄧ4" + ], + "杚": [ + "ㄍㄞ4", + "ㄍㄜ2" + ], + "杛": [ + "ㄍㄨㄥ1" + ], + "杜": [ + "ㄉㄨ4", + "ㄉㄨ3", + "ㄊㄨ2" + ], + "杝": [ + "ㄌㄧ2", + "ㄓ4", + "ㄧ2", + "ㄊㄨㄛ4", + "ㄉㄨㄛ4" + ], + "杞": [ + "ㄑㄧ3" + ], + "束": [ + "ㄕㄨ4" + ], + "杠": [ + "ㄍㄤ1", + "ㄍㄤ4", + "ㄍㄨㄥ1" + ], + "条": [ + "ㄊㄧㄠ2" + ], + "杢": [ + "ㄐㄧㄤ5" + ], + "杣": [ + "ㄇㄧㄢ2" + ], + "杤": [ + "ㄨㄢ4" + ], + "来": [ + "ㄌㄞ2" + ], + "杦": [ + "ㄐㄧㄡ3" + ], + "杧": [ + "ㄇㄤ2" + ], + "杨": [ + "ㄧㄤ2" + ], + "杩": [ + "ㄇㄚ4" + ], + "杪": [ + "ㄇㄧㄠ3" + ], + "杫": [ + "ㄙ4", + "ㄓ3", + "ㄒㄧ3" + ], + "杬": [ + "ㄩㄢ2", + "ㄩㄢ4" + ], + "杭": [ + "ㄏㄤ2", + "ㄎㄤ4", + "ㄎㄤ1" + ], + "杮": [ + "ㄈㄟ4", + "ㄅㄟ4" + ], + "杯": [ + "ㄅㄟ1" + ], + "杰": [ + "ㄐㄧㄝ2" + ], + "東": [ + "ㄉㄨㄥ1" + ], + "杲": [ + "ㄍㄠ3" + ], + "杳": [ + "ㄧㄠ3" + ], + "杴": [ + "ㄒㄧㄢ1", + "ㄑㄧㄢ1" + ], + "杵": [ + "ㄔㄨ3" + ], + "杶": [ + "ㄔㄨㄣ1" + ], + "杷": [ + "ㄆㄚ2", + "ㄅㄚ4" + ], + "杸": [ + "ㄕㄨ1", + "ㄉㄨㄟ4" + ], + "杹": [ + "ㄏㄨㄚ4" + ], + "杺": [ + "ㄒㄧㄣ1" + ], + "杻": [ + "ㄔㄡ3", + "ㄋㄧㄡ3" + ], + "杼": [ + "ㄓㄨ4", + "ㄕㄨ4" + ], + "杽": [ + "ㄔㄡ3" + ], + "松": [ + "ㄙㄨㄥ1" + ], + "板": [ + "ㄅㄢ3" + ], + "枀": [ + "ㄙㄨㄥ1" + ], + "极": [ + "ㄐㄧ2" + ], + "枂": [ + "ㄨㄛ4", + "ㄩㄝ4" + ], + "枃": [ + "ㄐㄧㄣ4" + ], + "构": [ + "ㄍㄡ4" + ], + "枅": [ + "ㄐㄧ1" + ], + "枆": [ + "ㄇㄠ2" + ], + "枇": [ + "ㄆㄧ2", + "ㄅㄧ3", + "ㄅㄧ4", + "ㄆㄧ1" + ], + "枈": [ + "ㄅㄧ4", + "ㄆㄧ1" + ], + "枉": [ + "ㄨㄤ3", + "ㄎㄨㄤ2" + ], + "枊": [ + "ㄤ4" + ], + "枋": [ + "ㄈㄤ1", + "ㄈㄤ3", + "ㄅㄧㄥ3" + ], + "枌": [ + "ㄈㄣ2" + ], + "枍": [ + "ㄧ4" + ], + "枎": [ + "ㄈㄨ2", + "ㄈㄨ1" + ], + "枏": [ + "ㄋㄢ2" + ], + "析": [ + "ㄒㄧ1", + "ㄙ1" + ], + "枑": [ + "ㄏㄨ4" + ], + "枒": [ + "ㄧㄚ1", + "ㄧㄝ1", + "ㄧㄚ2", + "ㄧㄚ4" + ], + "枓": [ + "ㄉㄡ3", + "ㄓㄨ3" + ], + "枔": [ + "ㄒㄧㄣ2" + ], + "枕": [ + "ㄓㄣ3", + "ㄔㄣ2" + ], + "枖": [ + "ㄧㄠ1", + "ㄧㄠ3" + ], + "林": [ + "ㄌㄧㄣ2" + ], + "枘": [ + "ㄖㄨㄟ4", + "ㄋㄣ4" + ], + "枙": [ + "ㄜ3", + "ㄜ4" + ], + "枚": [ + "ㄇㄟ2" + ], + "枛": [ + "ㄓㄠ4" + ], + "果": [ + "ㄍㄨㄛ3", + "ㄌㄨㄛ3", + "ㄍㄨㄢ4" + ], + "枝": [ + "ㄓ1", + "ㄑㄧ2" + ], + "枞": [ + "ㄘㄨㄥ1", + "ㄗㄨㄥ1" + ], + "枟": [ + "ㄩㄣ4" + ], + "枠": [ + "ㄗㄨㄟ5" + ], + "枡": [ + "ㄕㄥ1" + ], + "枢": [ + "ㄕㄨ1" + ], + "枣": [ + "ㄗㄠ3" + ], + "枤": [ + "ㄉㄧ4" + ], + "枥": [ + "ㄌㄧ4" + ], + "枦": [ + "ㄌㄨ2" + ], + "枧": [ + "ㄐㄧㄢ3" + ], + "枨": [ + "ㄔㄥ2" + ], + "枩": [ + "ㄙㄨㄥ1" + ], + "枪": [ + "ㄑㄧㄤ1" + ], + "枫": [ + "ㄈㄥ1" + ], + "枬": [ + "ㄓㄢ1" + ], + "枭": [ + "ㄒㄧㄠ1" + ], + "枮": [ + "ㄒㄧㄢ1", + "ㄓㄣ1" + ], + "枯": [ + "ㄎㄨ1", + "ㄍㄨ1" + ], + "枰": [ + "ㄆㄧㄥ2" + ], + "枱": [ + "ㄊㄞ2", + "ㄙ4", + "ㄘ2" + ], + "枲": [ + "ㄒㄧ3" + ], + "枳": [ + "ㄓ3", + "ㄓ1" + ], + "枴": [ + "ㄍㄨㄞ3" + ], + "枵": [ + "ㄒㄧㄠ1" + ], + "架": [ + "ㄐㄧㄚ4" + ], + "枷": [ + "ㄐㄧㄚ1", + "ㄐㄧㄚ4" + ], + "枸": [ + "ㄍㄡ3", + "ㄍㄡ1", + "ㄐㄩ3", + "ㄑㄩ2" + ], + "枹": [ + "ㄅㄠ1", + "ㄈㄨ2" + ], + "枺": [ + "ㄇㄛ4" + ], + "枻": [ + "ㄧ4", + "ㄒㄧㄝ4" + ], + "枼": [ + "ㄧㄝ4" + ], + "枽": [ + "ㄧㄝ4" + ], + "枾": [ + "ㄕ4" + ], + "枿": [ + "ㄋㄧㄝ4" + ], + "柀": [ + "ㄅㄧ3" + ], + "柁": [ + "ㄉㄨㄛ4", + "ㄊㄨㄛ2", + "ㄊㄨㄛ3" + ], + "柂": [ + "ㄧ2", + "ㄉㄨㄛ4", + "ㄌㄧ2" + ], + "柃": [ + "ㄌㄧㄥ2" + ], + "柄": [ + "ㄅㄧㄥ3" + ], + "柅": [ + "ㄋㄧ3", + "ㄔ4" + ], + "柆": [ + "ㄌㄚ1" + ], + "柇": [ + "ㄏㄜ2" + ], + "柈": [ + "ㄅㄢ4", + "ㄆㄢ2", + "ㄆㄢ4" + ], + "柉": [ + "ㄈㄢ2" + ], + "柊": [ + "ㄓㄨㄥ1" + ], + "柋": [ + "ㄉㄞ4" + ], + "柌": [ + "ㄘ2" + ], + "柍": [ + "ㄧㄤ3", + "ㄧㄤ4", + "ㄧㄥ1" + ], + "柎": [ + "ㄈㄨ1", + "ㄈㄨ3", + "ㄈㄨ4" + ], + "柏": [ + "ㄅㄞ3", + "ㄅㄛ2", + "ㄅㄛ4" + ], + "某": [ + "ㄇㄡ3", + "ㄇㄟ2" + ], + "柑": [ + "ㄍㄢ1", + "ㄑㄧㄢ2" + ], + "柒": [ + "ㄑㄧ1" + ], + "染": [ + "ㄖㄢ3" + ], + "柔": [ + "ㄖㄡ2" + ], + "柕": [ + "ㄇㄠ4" + ], + "柖": [ + "ㄕㄠ2", + "ㄕㄠ4" + ], + "柗": [ + "ㄙㄨㄥ1" + ], + "柘": [ + "ㄓㄜ4" + ], + "柙": [ + "ㄒㄧㄚ2", + "ㄐㄧㄚ3" + ], + "柚": [ + "ㄧㄡ4", + "ㄧㄡ2", + "ㄓㄡ2" + ], + "柛": [ + "ㄕㄣ1" + ], + "柜": [ + "ㄍㄨㄟ4", + "ㄐㄩ3" + ], + "柝": [ + "ㄊㄨㄛ4" + ], + "柞": [ + "ㄓㄚ4", + "ㄗㄨㄛ4", + "ㄗㄜ2" + ], + "柟": [ + "ㄋㄢ2", + "ㄖㄢ2" + ], + "柠": [ + "ㄋㄧㄥ2", + "ㄔㄨ3", + "ㄓㄨ4" + ], + "柡": [ + "ㄩㄥ3" + ], + "柢": [ + "ㄉㄧ3", + "ㄉㄧ4", + "ㄔ2" + ], + "柣": [ + "ㄓ4", + "ㄉㄧㄝ2" + ], + "柤": [ + "ㄓㄚ1", + "ㄗㄨ3", + "ㄗㄨ1" + ], + "查": [ + "ㄔㄚ2", + "ㄓㄚ1", + "ㄔㄞ2" + ], + "柦": [ + "ㄉㄢ4" + ], + "柧": [ + "ㄍㄨ1" + ], + "柨": [ + "ㄅㄨ4", + "ㄆㄨ1" + ], + "柩": [ + "ㄐㄧㄡ4" + ], + "柪": [ + "ㄠ1", + "ㄠ4" + ], + "柫": [ + "ㄈㄨ2" + ], + "柬": [ + "ㄐㄧㄢ3" + ], + "柭": [ + "ㄅㄚ1", + "ㄈㄨ2", + "ㄅㄛ2", + "ㄅㄧㄝ1", + "ㄆㄟ4" + ], + "柮": [ + "ㄉㄨㄛ4", + "ㄗㄨㄛ2", + "ㄨ4" + ], + "柯": [ + "ㄎㄜ1" + ], + "柰": [ + "ㄋㄞ4" + ], + "柱": [ + "ㄓㄨ4", + "ㄓㄨ3" + ], + "柲": [ + "ㄅㄧ4", + "ㄅㄧㄝ2" + ], + "柳": [ + "ㄌㄧㄡ3" + ], + "柴": [ + "ㄔㄞ2", + "ㄘ1", + "ㄓㄞ4", + "ㄗ4" + ], + "柵": [ + "ㄕㄢ1", + "ㄓㄚ4" + ], + "柶": [ + "ㄙ4" + ], + "柷": [ + "ㄔㄨ4", + "ㄓㄨ4" + ], + "柸": [ + "ㄆㄟ1", + "ㄅㄟ1" + ], + "柹": [ + "ㄕ4", + "ㄈㄟ4" + ], + "柺": [ + "ㄍㄨㄞ3" + ], + "査": [ + "ㄓㄚ1" + ], + "柼": [ + "ㄧㄠ3" + ], + "柽": [ + "ㄔㄥ1", + "ㄐㄩㄝ2" + ], + "柾": [ + "ㄐㄧㄡ4" + ], + "柿": [ + "ㄕ4" + ], + "栀": [ + "ㄓ1" + ], + "栁": [ + "ㄌㄧㄡ3" + ], + "栂": [ + "ㄇㄟ2" + ], + "栃": [ + "ㄌㄧ4" + ], + "栄": [ + "ㄖㄨㄥ2" + ], + "栅": [ + "ㄓㄚ4", + "ㄕㄢ1", + "ㄘㄜ4" + ], + "栆": [ + "ㄗㄠ3" + ], + "标": [ + "ㄅㄧㄠ1" + ], + "栈": [ + "ㄓㄢ4" + ], + "栉": [ + "ㄓ4" + ], + "栊": [ + "ㄌㄨㄥ2" + ], + "栋": [ + "ㄉㄨㄥ4" + ], + "栌": [ + "ㄌㄨ2" + ], + "栍": [ + "ㄕㄥ1" + ], + "栎": [ + "ㄌㄧ4", + "ㄩㄝ4" + ], + "栏": [ + "ㄌㄢ2" + ], + "栐": [ + "ㄩㄥ3" + ], + "树": [ + "ㄕㄨ4" + ], + "栒": [ + "ㄒㄩㄣ2", + "ㄙㄨㄣ3" + ], + "栓": [ + "ㄕㄨㄢ1", + "ㄕㄨㄢ4", + "ㄑㄩㄢ2" + ], + "栔": [ + "ㄑㄧ4" + ], + "栕": [ + "ㄓㄣ1" + ], + "栖": [ + "ㄑㄧ1", + "ㄒㄧ1" + ], + "栗": [ + "ㄌㄧ4", + "ㄌㄧㄝ4" + ], + "栘": [ + "ㄧ2" + ], + "栙": [ + "ㄒㄧㄤ2" + ], + "栚": [ + "ㄓㄣ4" + ], + "栛": [ + "ㄌㄧ4" + ], + "栜": [ + "ㄙㄜ4", + "ㄘ4" + ], + "栝": [ + "ㄍㄨㄚ1", + "ㄊㄧㄢ3", + "ㄎㄨㄛ4" + ], + "栞": [ + "ㄎㄢ1" + ], + "栟": [ + "ㄅㄣ1", + "ㄅㄧㄥ1" + ], + "栠": [ + "ㄖㄣ3" + ], + "校": [ + "ㄒㄧㄠ4", + "ㄐㄧㄠ4", + "ㄐㄧㄠ3", + "ㄑㄧㄠ1" + ], + "栢": [ + "ㄅㄞ3" + ], + "栣": [ + "ㄖㄣ3" + ], + "栤": [ + "ㄅㄧㄥ4" + ], + "栥": [ + "ㄗ1" + ], + "栦": [ + "ㄔㄡ2" + ], + "栧": [ + "ㄧ4" + ], + "栨": [ + "ㄘ4" + ], + "栩": [ + "ㄒㄩ3", + "ㄩ3" + ], + "株": [ + "ㄓㄨ1" + ], + "栫": [ + "ㄐㄧㄢ4", + "ㄗㄨㄣ4" + ], + "栬": [ + "ㄗㄨㄟ4" + ], + "栭": [ + "ㄦ2" + ], + "栮": [ + "ㄦ3" + ], + "栯": [ + "ㄧㄡ3", + "ㄩ4" + ], + "栰": [ + "ㄈㄚ2" + ], + "栱": [ + "ㄍㄨㄥ3" + ], + "栲": [ + "ㄎㄠ3" + ], + "栳": [ + "ㄌㄠ3" + ], + "栴": [ + "ㄓㄢ1" + ], + "栵": [ + "ㄌㄧㄝ4" + ], + "栶": [ + "ㄧㄣ1" + ], + "样": [ + "ㄧㄤ4", + "ㄧㄤ2" + ], + "核": [ + "ㄏㄜ2", + "ㄏㄨ2", + "ㄍㄞ1", + "ㄎㄞ4" + ], + "根": [ + "ㄍㄣ1" + ], + "栺": [ + "ㄧ4", + "ㄓ1", + "ㄓ3" + ], + "栻": [ + "ㄕ4" + ], + "格": [ + "ㄍㄜ2", + "ㄌㄨㄛ4", + "ㄏㄜ4", + "ㄍㄜ1" + ], + "栽": [ + "ㄗㄞ1", + "ㄗㄞ4" + ], + "栾": [ + "ㄌㄨㄢ2" + ], + "栿": [ + "ㄈㄨ2" + ], + "桀": [ + "ㄐㄧㄝ2" + ], + "桁": [ + "ㄏㄥ2", + "ㄏㄤ2", + "ㄏㄤ4" + ], + "桂": [ + "ㄍㄨㄟ4" + ], + "桃": [ + "ㄊㄠ2", + "ㄊㄧㄠ1", + "ㄓㄠ4" + ], + "桄": [ + "ㄍㄨㄤ1", + "ㄍㄨㄤ4" + ], + "桅": [ + "ㄨㄟ2", + "ㄍㄨㄟ3" + ], + "框": [ + "ㄎㄨㄤ1", + "ㄎㄨㄤ4", + "ㄎㄨㄤ2" + ], + "桇": [ + "ㄖㄨ2" + ], + "案": [ + "ㄢ4" + ], + "桉": [ + "ㄢ1", + "ㄢ4" + ], + "桊": [ + "ㄐㄩㄢ4", + "ㄑㄩㄢ1" + ], + "桋": [ + "ㄧ2", + "ㄊㄧ2" + ], + "桌": [ + "ㄓㄨㄛ1" + ], + "桍": [ + "ㄎㄨ1" + ], + "桎": [ + "ㄓ4" + ], + "桏": [ + "ㄑㄩㄥ2" + ], + "桐": [ + "ㄊㄨㄥ2", + "ㄊㄨㄥ1", + "ㄉㄨㄥ4" + ], + "桑": [ + "ㄙㄤ1" + ], + "桒": [ + "ㄙㄤ1" + ], + "桓": [ + "ㄏㄨㄢ2" + ], + "桔": [ + "ㄐㄩ2", + "ㄐㄧㄝ2", + "ㄒㄧㄝ2" + ], + "桕": [ + "ㄐㄧㄡ4" + ], + "桖": [ + "ㄒㄩㄝ4" + ], + "桗": [ + "ㄉㄨㄛ4" + ], + "桘": [ + "ㄓㄨㄟ4" + ], + "桙": [ + "ㄩ2", + "ㄇㄡ2" + ], + "桚": [ + "ㄗㄢ3" + ], + "桜": [ + "ㄧㄥ1" + ], + "桝": [ + "ㄐㄧㄝ2" + ], + "桞": [ + "ㄌㄧㄡ3" + ], + "桟": [ + "ㄓㄢ4" + ], + "桠": [ + "ㄧㄚ1" + ], + "桡": [ + "ㄖㄠ2" + ], + "桢": [ + "ㄓㄣ1" + ], + "档": [ + "ㄉㄤ4" + ], + "桤": [ + "ㄑㄧ1" + ], + "桥": [ + "ㄑㄧㄠ2" + ], + "桦": [ + "ㄏㄨㄚ4" + ], + "桧": [ + "ㄍㄨㄟ4", + "ㄏㄨㄟ4" + ], + "桨": [ + "ㄐㄧㄤ3" + ], + "桩": [ + "ㄓㄨㄤ1" + ], + "桪": [ + "ㄒㄩㄣ2" + ], + "桫": [ + "ㄙㄨㄛ1" + ], + "桬": [ + "ㄕㄚ1" + ], + "桭": [ + "ㄓㄣ1", + "ㄔㄣ2", + "ㄓㄣ4" + ], + "桮": [ + "ㄅㄟ1" + ], + "桯": [ + "ㄊㄧㄥ1", + "ㄧㄥ2" + ], + "桰": [ + "ㄎㄨㄛ4" + ], + "桱": [ + "ㄐㄧㄥ4" + ], + "桲": [ + "ㄆㄛ5", + "ㄅㄛ2" + ], + "桳": [ + "ㄅㄣ4" + ], + "桴": [ + "ㄈㄨ2" + ], + "桵": [ + "ㄖㄨㄟ2" + ], + "桶": [ + "ㄊㄨㄥ3" + ], + "桷": [ + "ㄐㄩㄝ2" + ], + "桸": [ + "ㄒㄧ1" + ], + "桹": [ + "ㄌㄤ2" + ], + "桺": [ + "ㄌㄧㄡ3" + ], + "桻": [ + "ㄈㄥ1", + "ㄈㄥ4" + ], + "桼": [ + "ㄑㄧ1" + ], + "桽": [ + "ㄨㄣ3" + ], + "桾": [ + "ㄐㄩㄣ1" + ], + "桿": [ + "ㄍㄢ3", + "ㄏㄢ4" + ], + "梀": [ + "ㄙㄨ4", + "ㄧㄣ4" + ], + "梁": [ + "ㄌㄧㄤ2" + ], + "梂": [ + "ㄑㄧㄡ2" + ], + "梃": [ + "ㄊㄧㄥ3", + "ㄊㄧㄥ4" + ], + "梄": [ + "ㄧㄡ3" + ], + "梅": [ + "ㄇㄟ2" + ], + "梆": [ + "ㄅㄤ1" + ], + "梇": [ + "ㄌㄨㄥ4" + ], + "梈": [ + "ㄆㄥ1" + ], + "梉": [ + "ㄓㄨㄤ1" + ], + "梊": [ + "ㄉㄧ4" + ], + "梋": [ + "ㄒㄩㄢ1", + "ㄐㄩㄢ1", + "ㄒㄧㄝ2" + ], + "梌": [ + "ㄊㄨ2", + "ㄔㄚ2", + "ㄊㄨ1" + ], + "梍": [ + "ㄗㄠ4" + ], + "梎": [ + "ㄠ1", + "ㄧㄡ4" + ], + "梏": [ + "ㄍㄨ4", + "ㄐㄩㄝ2" + ], + "梐": [ + "ㄅㄧ4" + ], + "梑": [ + "ㄉㄧ2" + ], + "梒": [ + "ㄏㄢ2" + ], + "梓": [ + "ㄗ3" + ], + "梔": [ + "ㄓ1" + ], + "梕": [ + "ㄖㄣ4" + ], + "梖": [ + "ㄅㄟ4" + ], + "梗": [ + "ㄍㄥ3" + ], + "梘": [ + "ㄐㄧㄢ3", + "ㄒㄧㄢ4", + "ㄐㄧㄢ4" + ], + "梙": [ + "ㄏㄨㄢ4" + ], + "梚": [ + "ㄨㄢ3" + ], + "梛": [ + "ㄋㄨㄛ2" + ], + "梜": [ + "ㄐㄧㄚ1" + ], + "條": [ + "ㄊㄧㄠ2", + "ㄊㄧㄠ1" + ], + "梞": [ + "ㄐㄧ4" + ], + "梟": [ + "ㄒㄧㄠ1" + ], + "梠": [ + "ㄌㄩ3" + ], + "梡": [ + "ㄏㄨㄣ2", + "ㄎㄨㄢ3" + ], + "梢": [ + "ㄕㄠ1", + "ㄕㄠ4", + "ㄒㄧㄠ1", + "ㄙㄠ4" + ], + "梣": [ + "ㄘㄣ2", + "ㄔㄣ2", + "ㄑㄧㄣ2" + ], + "梤": [ + "ㄈㄣ2" + ], + "梥": [ + "ㄙㄨㄥ1" + ], + "梦": [ + "ㄇㄥ4" + ], + "梧": [ + "ㄨ2", + "ㄨ4", + "ㄩ3" + ], + "梨": [ + "ㄌㄧ2" + ], + "梩": [ + "ㄌㄧ2", + "ㄙ4", + "ㄑㄧ3" + ], + "梪": [ + "ㄉㄡ4" + ], + "梫": [ + "ㄑㄧㄣ3", + "ㄑㄧㄣ1" + ], + "梬": [ + "ㄧㄥ3" + ], + "梭": [ + "ㄙㄨㄛ1", + "ㄒㄩㄣ4" + ], + "梮": [ + "ㄐㄩ1" + ], + "梯": [ + "ㄊㄧ1", + "ㄊㄧ2" + ], + "械": [ + "ㄒㄧㄝ4" + ], + "梱": [ + "ㄎㄨㄣ3", + "ㄏㄨㄣ2" + ], + "梲": [ + "ㄓㄨㄛ2" + ], + "梳": [ + "ㄕㄨ1" + ], + "梴": [ + "ㄔㄢ1" + ], + "梵": [ + "ㄈㄢ4" + ], + "梶": [ + "ㄨㄟ3" + ], + "梷": [ + "ㄐㄧㄥ4" + ], + "梸": [ + "ㄌㄧ2" + ], + "梹": [ + "ㄅㄧㄣ1", + "ㄅㄧㄥ1" + ], + "梺": [ + "ㄒㄧㄚ4" + ], + "梻": [ + "ㄈㄛ2" + ], + "梼": [ + "ㄊㄠ2" + ], + "梽": [ + "ㄓ4" + ], + "梾": [ + "ㄌㄞ2" + ], + "梿": [ + "ㄌㄧㄢ2" + ], + "检": [ + "ㄐㄧㄢ3" + ], + "棁": [ + "ㄓㄨㄛ1", + "ㄊㄨㄛ1", + "ㄖㄨㄟ4" + ], + "棂": [ + "ㄌㄧㄥ2" + ], + "棃": [ + "ㄌㄧ2" + ], + "棄": [ + "ㄑㄧ4" + ], + "棅": [ + "ㄅㄧㄥ3" + ], + "棆": [ + "ㄌㄨㄣ2" + ], + "棇": [ + "ㄘㄨㄥ1", + "ㄙㄨㄥ1" + ], + "棈": [ + "ㄑㄧㄢ4" + ], + "棉": [ + "ㄇㄧㄢ2" + ], + "棊": [ + "ㄑㄧ2" + ], + "棋": [ + "ㄑㄧ2", + "ㄐㄧ1" + ], + "棌": [ + "ㄘㄞ4" + ], + "棍": [ + "ㄍㄨㄣ4", + "ㄏㄨㄣ4", + "ㄠ1", + "ㄍㄨㄣ3" + ], + "棎": [ + "ㄔㄢ2" + ], + "棏": [ + "ㄉㄜ2", + "ㄓㄜ2" + ], + "棐": [ + "ㄈㄟ3", + "ㄈㄟ2" + ], + "棑": [ + "ㄆㄞ2", + "ㄅㄟ4", + "ㄆㄟ4" + ], + "棒": [ + "ㄅㄤ4" + ], + "棓": [ + "ㄅㄤ4", + "ㄅㄟ4", + "ㄆㄡ3", + "ㄆㄟ2", + "ㄅㄟ1" + ], + "棔": [ + "ㄏㄨㄣ1" + ], + "棕": [ + "ㄗㄨㄥ1" + ], + "棖": [ + "ㄔㄥ2", + "ㄔㄤ2" + ], + "棗": [ + "ㄗㄠ3" + ], + "棘": [ + "ㄐㄧ2" + ], + "棙": [ + "ㄌㄧ4", + "ㄌㄧㄝ4" + ], + "棚": [ + "ㄆㄥ2" + ], + "棛": [ + "ㄩ4" + ], + "棜": [ + "ㄩ4" + ], + "棝": [ + "ㄍㄨ4" + ], + "棞": [ + "ㄐㄩㄣ4" + ], + "棟": [ + "ㄉㄨㄥ4" + ], + "棠": [ + "ㄊㄤ2" + ], + "棡": [ + "ㄍㄤ1" + ], + "棢": [ + "ㄨㄤ3" + ], + "棣": [ + "ㄉㄧ4", + "ㄊㄧ4", + "ㄉㄞ4" + ], + "棤": [ + "ㄘㄨㄛ4" + ], + "棥": [ + "ㄈㄢ2" + ], + "棦": [ + "ㄔㄥ1" + ], + "棧": [ + "ㄓㄢ4", + "ㄓㄢ3", + "ㄔㄣ2" + ], + "棨": [ + "ㄑㄧ3" + ], + "棩": [ + "ㄩㄢ1" + ], + "棪": [ + "ㄧㄢ3", + "ㄧㄢ4" + ], + "棫": [ + "ㄩ4" + ], + "棬": [ + "ㄑㄩㄢ1", + "ㄐㄩㄢ4", + "ㄑㄩㄢ2" + ], + "棭": [ + "ㄧ4" + ], + "森": [ + "ㄙㄣ1" + ], + "棯": [ + "ㄖㄣ3", + "ㄕㄣ3" + ], + "棰": [ + "ㄔㄨㄟ2", + "ㄉㄨㄛ3" + ], + "棱": [ + "ㄌㄥ2", + "ㄌㄥ1", + "ㄌㄧㄥ2", + "ㄌㄥ4", + "ㄔㄥ1" + ], + "棲": [ + "ㄑㄧ1", + "ㄒㄧ1" + ], + "棳": [ + "ㄓㄨㄛ1" + ], + "棴": [ + "ㄈㄨ2", + "ㄙㄨ4" + ], + "棵": [ + "ㄎㄜ1", + "ㄎㄨㄢ3", + "ㄎㄜ3" + ], + "棶": [ + "ㄌㄞ2" + ], + "棷": [ + "ㄗㄡ1", + "ㄙㄡ3" + ], + "棸": [ + "ㄗㄡ1" + ], + "棹": [ + "ㄓㄠ4", + "ㄓㄨㄛ1" + ], + "棺": [ + "ㄍㄨㄢ1", + "ㄍㄨㄢ4" + ], + "棻": [ + "ㄈㄣ1" + ], + "棼": [ + "ㄈㄣ2", + "ㄈㄣ4", + "ㄈㄣ1" + ], + "棽": [ + "ㄕㄣ1", + "ㄔㄣ1" + ], + "棾": [ + "ㄑㄧㄥ2" + ], + "棿": [ + "ㄋㄧ2", + "ㄋㄧㄝ4" + ], + "椀": [ + "ㄨㄢ3" + ], + "椁": [ + "ㄍㄨㄛ3" + ], + "椂": [ + "ㄌㄨ4" + ], + "椃": [ + "ㄏㄠ2" + ], + "椄": [ + "ㄐㄧㄝ1", + "ㄐㄧㄝ2", + "ㄑㄧㄝ4" + ], + "椅": [ + "ㄧ3", + "ㄧ1" + ], + "椆": [ + "ㄔㄡ2", + "ㄓㄡ4", + "ㄉㄧㄠ1" + ], + "椇": [ + "ㄐㄩ3" + ], + "椈": [ + "ㄐㄩ2" + ], + "椉": [ + "ㄔㄥ2", + "ㄕㄥ4" + ], + "椊": [ + "ㄗㄨㄛ2", + "ㄘㄨㄟ4" + ], + "椋": [ + "ㄌㄧㄤ2" + ], + "椌": [ + "ㄑㄧㄤ1", + "ㄎㄨㄥ1" + ], + "植": [ + "ㄓ2" + ], + "椎": [ + "ㄔㄨㄟ2", + "ㄓㄨㄟ1" + ], + "椏": [ + "ㄧㄚ1", + "ㄜ3" + ], + "椐": [ + "ㄐㄩ1" + ], + "椑": [ + "ㄅㄟ1", + "ㄆㄧ2", + "ㄅㄧ4", + "ㄆㄞ2" + ], + "椒": [ + "ㄐㄧㄠ1" + ], + "椓": [ + "ㄓㄨㄛ2" + ], + "椔": [ + "ㄗ1" + ], + "椕": [ + "ㄅㄧㄣ1" + ], + "椖": [ + "ㄆㄥ2" + ], + "椗": [ + "ㄉㄧㄥ4" + ], + "椘": [ + "ㄔㄨ3" + ], + "椙": [ + "ㄔㄤ1" + ], + "椚": [ + "ㄇㄣ1" + ], + "椛": [ + "ㄏㄨㄚ1" + ], + "検": [ + "ㄐㄧㄢ3" + ], + "椝": [ + "ㄍㄨㄟ1" + ], + "椞": [ + "ㄒㄧ4" + ], + "椟": [ + "ㄉㄨ2" + ], + "椠": [ + "ㄑㄧㄢ4" + ], + "椡": [ + "ㄉㄠ4" + ], + "椢": [ + "ㄍㄨㄟ4" + ], + "椣": [ + "ㄉㄧㄢ3" + ], + "椤": [ + "ㄌㄨㄛ2" + ], + "椥": [ + "ㄓ1" + ], + "椦": [ + "ㄑㄩㄢ5" + ], + "椧": [ + "ㄇㄧㄥ4" + ], + "椨": [ + "ㄈㄨ3" + ], + "椩": [ + "ㄍㄥ1" + ], + "椪": [ + "ㄆㄥ4" + ], + "椫": [ + "ㄕㄢ4" + ], + "椬": [ + "ㄧ2" + ], + "椭": [ + "ㄊㄨㄛ3" + ], + "椮": [ + "ㄙㄣ1" + ], + "椯": [ + "ㄉㄨㄛ3", + "ㄔㄨㄢ2" + ], + "椰": [ + "ㄧㄝ1" + ], + "椱": [ + "ㄈㄨ4" + ], + "椲": [ + "ㄨㄟ3", + "ㄏㄨㄟ1" + ], + "椳": [ + "ㄨㄟ1" + ], + "椴": [ + "ㄉㄨㄢ4" + ], + "椵": [ + "ㄐㄧㄚ3", + "ㄐㄧㄚ1" + ], + "椶": [ + "ㄗㄨㄥ1" + ], + "椷": [ + "ㄐㄧㄢ1", + "ㄏㄢ2" + ], + "椸": [ + "ㄧ2" + ], + "椹": [ + "ㄕㄣ4", + "ㄓㄣ1" + ], + "椺": [ + "ㄒㄧ2" + ], + "椻": [ + "ㄧㄢ4", + "ㄧㄚ4" + ], + "椼": [ + "ㄧㄢ3" + ], + "椽": [ + "ㄔㄨㄢ2" + ], + "椾": [ + "ㄐㄧㄢ1", + "ㄓㄢ4" + ], + "椿": [ + "ㄔㄨㄣ1" + ], + "楀": [ + "ㄩ3" + ], + "楁": [ + "ㄏㄜ2" + ], + "楂": [ + "ㄓㄚ1", + "ㄔㄚ2" + ], + "楃": [ + "ㄨㄛ4" + ], + "楄": [ + "ㄆㄧㄢ2" + ], + "楅": [ + "ㄅㄧ1" + ], + "楆": [ + "ㄧㄠ1" + ], + "楇": [ + "ㄏㄨㄛ4", + "ㄍㄨㄛ1", + "ㄎㄨㄚ3" + ], + "楈": [ + "ㄒㄩ1" + ], + "楉": [ + "ㄖㄨㄛ4" + ], + "楊": [ + "ㄧㄤ2" + ], + "楋": [ + "ㄌㄚ4" + ], + "楌": [ + "ㄧㄢ2" + ], + "楍": [ + "ㄅㄣ3" + ], + "楎": [ + "ㄏㄨㄟ1" + ], + "楏": [ + "ㄎㄨㄟ2" + ], + "楐": [ + "ㄐㄧㄝ4" + ], + "楑": [ + "ㄎㄨㄟ2" + ], + "楒": [ + "ㄙ1" + ], + "楓": [ + "ㄈㄥ1", + "ㄈㄢ2" + ], + "楔": [ + "ㄒㄧㄝ1", + "ㄒㄧㄝ4" + ], + "楕": [ + "ㄊㄨㄛ3" + ], + "楖": [ + "ㄓ4", + "ㄐㄧ2" + ], + "楗": [ + "ㄐㄧㄢ4", + "ㄐㄧㄢ3" + ], + "楘": [ + "ㄇㄨ4" + ], + "楙": [ + "ㄇㄠ4" + ], + "楚": [ + "ㄔㄨ3" + ], + "楛": [ + "ㄏㄨ4", + "ㄎㄨ3" + ], + "楜": [ + "ㄏㄨ2" + ], + "楝": [ + "ㄌㄧㄢ4" + ], + "楞": [ + "ㄌㄥ2", + "ㄌㄥ4" + ], + "楟": [ + "ㄊㄧㄥ2" + ], + "楠": [ + "ㄋㄢ2" + ], + "楡": [ + "ㄩ2" + ], + "楢": [ + "ㄧㄡ2", + "ㄧㄡ3" + ], + "楣": [ + "ㄇㄟ2", + "ㄇㄟ3" + ], + "楤": [ + "ㄙㄨㄥ3", + "ㄘㄨㄥ1" + ], + "楥": [ + "ㄒㄩㄢ4", + "ㄩㄢ2" + ], + "楦": [ + "ㄒㄩㄢ4" + ], + "楧": [ + "ㄧㄤ3" + ], + "楨": [ + "ㄓㄣ1" + ], + "楩": [ + "ㄆㄧㄢ2" + ], + "楪": [ + "ㄧㄝ4", + "ㄉㄧㄝ2" + ], + "楫": [ + "ㄐㄧ2" + ], + "楬": [ + "ㄐㄧㄝ2", + "ㄑㄧㄚ4" + ], + "業": [ + "ㄧㄝ4" + ], + "楮": [ + "ㄔㄨ3", + "ㄓㄨ1" + ], + "楯": [ + "ㄉㄨㄣ4", + "ㄕㄨㄣ3", + "ㄔㄨㄣ1" + ], + "楰": [ + "ㄩ2" + ], + "楱": [ + "ㄗㄡ4", + "ㄘㄡ1" + ], + "楲": [ + "ㄨㄟ1" + ], + "楳": [ + "ㄇㄟ2" + ], + "楴": [ + "ㄊㄧ4", + "ㄉㄧ3", + "ㄕ4" + ], + "極": [ + "ㄐㄧ2", + "ㄐㄧ3" + ], + "楶": [ + "ㄐㄧㄝ2" + ], + "楷": [ + "ㄎㄞ3", + "ㄐㄧㄝ1", + "ㄐㄧㄝ4" + ], + "楸": [ + "ㄑㄧㄡ1" + ], + "楹": [ + "ㄧㄥ2" + ], + "楺": [ + "ㄖㄡ3", + "ㄖㄡ4" + ], + "楻": [ + "ㄏㄨㄤ2" + ], + "楼": [ + "ㄌㄡ2" + ], + "楽": [ + "ㄌㄜ4" + ], + "楾": [ + "ㄑㄩㄢ2" + ], + "楿": [ + "ㄒㄧㄤ1" + ], + "榀": [ + "ㄆㄧㄣ3" + ], + "榁": [ + "ㄕ3" + ], + "概": [ + "ㄍㄞ4", + "ㄍㄨㄟ4", + "ㄐㄧㄝ2" + ], + "榃": [ + "ㄊㄢ2" + ], + "榄": [ + "ㄌㄢ3" + ], + "榅": [ + "ㄨㄣ1", + "ㄩㄣ4" + ], + "榆": [ + "ㄩ2" + ], + "榇": [ + "ㄔㄣ4" + ], + "榈": [ + "ㄌㄩ2" + ], + "榉": [ + "ㄐㄩ3" + ], + "榊": [ + "ㄕㄣ2" + ], + "榋": [ + "ㄔㄨ5" + ], + "榌": [ + "ㄅㄧ1" + ], + "榍": [ + "ㄒㄧㄝ4" + ], + "榎": [ + "ㄐㄧㄚ3" + ], + "榏": [ + "ㄧ4" + ], + "榐": [ + "ㄓㄢ3", + "ㄔㄢ3", + "ㄋㄧㄢ4", + "ㄓㄣ4" + ], + "榑": [ + "ㄈㄨ2", + "ㄈㄨ4", + "ㄅㄛ2" + ], + "榒": [ + "ㄋㄨㄛ4" + ], + "榓": [ + "ㄇㄧ4" + ], + "榔": [ + "ㄌㄤ2", + "ㄌㄤ3" + ], + "榕": [ + "ㄖㄨㄥ2" + ], + "榖": [ + "ㄍㄨ3" + ], + "榗": [ + "ㄐㄧㄢ4", + "ㄐㄧㄣ4" + ], + "榘": [ + "ㄐㄩ3" + ], + "榙": [ + "ㄊㄚ1" + ], + "榚": [ + "ㄧㄠ3" + ], + "榛": [ + "ㄓㄣ1" + ], + "榜": [ + "ㄅㄤ3", + "ㄅㄥ1", + "ㄅㄤ4", + "ㄆㄤ2", + "ㄆㄥ2" + ], + "榝": [ + "ㄕㄚ1", + "ㄒㄧㄝ4" + ], + "榞": [ + "ㄩㄢ2" + ], + "榟": [ + "ㄗ3" + ], + "榠": [ + "ㄇㄧㄥ2" + ], + "榡": [ + "ㄙㄨ4" + ], + "榢": [ + "ㄐㄧㄚ4" + ], + "榣": [ + "ㄧㄠ2" + ], + "榤": [ + "ㄐㄧㄝ2" + ], + "榥": [ + "ㄏㄨㄤ4" + ], + "榦": [ + "ㄍㄢ4", + "ㄏㄢ2" + ], + "榧": [ + "ㄈㄟ3" + ], + "榨": [ + "ㄓㄚ4" + ], + "榩": [ + "ㄑㄧㄢ2" + ], + "榪": [ + "ㄇㄚ4", + "ㄇㄚ3" + ], + "榫": [ + "ㄙㄨㄣ3" + ], + "榬": [ + "ㄩㄢ2" + ], + "榭": [ + "ㄒㄧㄝ4" + ], + "榮": [ + "ㄖㄨㄥ2" + ], + "榯": [ + "ㄕ2" + ], + "榰": [ + "ㄓ1" + ], + "榱": [ + "ㄘㄨㄟ1" + ], + "榲": [ + "ㄨㄣ1" + ], + "榳": [ + "ㄊㄧㄥ2" + ], + "榴": [ + "ㄌㄧㄡ2" + ], + "榵": [ + "ㄖㄨㄥ2" + ], + "榶": [ + "ㄊㄤ2" + ], + "榷": [ + "ㄑㄩㄝ4" + ], + "榸": [ + "ㄓㄞ1" + ], + "榹": [ + "ㄙ1" + ], + "榺": [ + "ㄕㄥ4" + ], + "榻": [ + "ㄊㄚ4" + ], + "榼": [ + "ㄎㄜ1" + ], + "榽": [ + "ㄒㄧ1" + ], + "榾": [ + "ㄍㄨ3" + ], + "榿": [ + "ㄑㄧ1" + ], + "槀": [ + "ㄍㄠ3", + "ㄎㄠ4" + ], + "槁": [ + "ㄍㄠ3", + "ㄎㄠ4", + "ㄍㄠ1" + ], + "槂": [ + "ㄙㄨㄣ1" + ], + "槃": [ + "ㄆㄢ2" + ], + "槄": [ + "ㄊㄠ1" + ], + "槅": [ + "ㄍㄜ2" + ], + "槆": [ + "ㄔㄨㄣ1" + ], + "槇": [ + "ㄉㄧㄢ1", + "ㄓㄣ3", + "ㄓㄣ1" + ], + "槈": [ + "ㄋㄡ4" + ], + "槉": [ + "ㄐㄧ2" + ], + "槊": [ + "ㄕㄨㄛ4" + ], + "構": [ + "ㄍㄡ4", + "ㄐㄩㄝ2" + ], + "槌": [ + "ㄔㄨㄟ2", + "ㄓㄨㄟ4", + "ㄉㄨㄟ1" + ], + "槍": [ + "ㄑㄧㄤ1", + "ㄔㄥ1", + "ㄑㄧㄤ3" + ], + "槎": [ + "ㄔㄚ2" + ], + "槏": [ + "ㄑㄧㄢ3", + "ㄒㄧㄢ4", + "ㄌㄧㄢ2" + ], + "槐": [ + "ㄏㄨㄞ2" + ], + "槑": [ + "ㄇㄟ2" + ], + "槒": [ + "ㄒㄩ4" + ], + "槓": [ + "ㄍㄤ4" + ], + "槔": [ + "ㄍㄠ1" + ], + "槕": [ + "ㄓㄨㄛ1" + ], + "槖": [ + "ㄊㄨㄛ2" + ], + "槗": [ + "ㄑㄧㄠ2" + ], + "様": [ + "ㄧㄤ4" + ], + "槙": [ + "ㄉㄧㄢ1" + ], + "槚": [ + "ㄐㄧㄚ3" + ], + "槛": [ + "ㄎㄢ3", + "ㄐㄧㄢ4" + ], + "槜": [ + "ㄗㄨㄟ4" + ], + "槝": [ + "ㄉㄠ3" + ], + "槞": [ + "ㄌㄨㄥ2" + ], + "槟": [ + "ㄅㄧㄣ1", + "ㄅㄧㄥ1" + ], + "槠": [ + "ㄓㄨ1" + ], + "槡": [ + "ㄙㄤ1" + ], + "槢": [ + "ㄒㄧ2", + "ㄉㄧㄝ2" + ], + "槣": [ + "ㄐㄧ1", + "ㄍㄨㄟ1" + ], + "槤": [ + "ㄌㄧㄢ2", + "ㄌㄧㄢ3" + ], + "槥": [ + "ㄏㄨㄟ4" + ], + "槦": [ + "ㄩㄥ1" + ], + "槧": [ + "ㄑㄧㄢ4" + ], + "槨": [ + "ㄍㄨㄛ3" + ], + "槩": [ + "ㄍㄞ4" + ], + "槪": [ + "ㄍㄞ4" + ], + "槫": [ + "ㄊㄨㄢ2", + "ㄕㄨㄢ4", + "ㄑㄩㄢ2" + ], + "槬": [ + "ㄏㄨㄚ4" + ], + "槭": [ + "ㄑㄧ1", + "ㄑㄧ4", + "ㄗㄨ2", + "ㄙㄜ4" + ], + "槮": [ + "ㄙㄣ1", + "ㄕㄣ3" + ], + "槯": [ + "ㄘㄨㄟ1", + "ㄗㄨㄟ3" + ], + "槰": [ + "ㄆㄥ2" + ], + "槱": [ + "ㄧㄡ3", + "ㄔㄠ3" + ], + "槲": [ + "ㄏㄨ2" + ], + "槳": [ + "ㄐㄧㄤ3", + "ㄐㄧㄤ1" + ], + "槴": [ + "ㄏㄨ4" + ], + "槵": [ + "ㄏㄨㄢ4" + ], + "槶": [ + "ㄍㄨㄟ4" + ], + "槷": [ + "ㄋㄧㄝ4", + "ㄒㄧㄝ4", + "ㄧ4" + ], + "槸": [ + "ㄧ4" + ], + "槹": [ + "ㄍㄠ1" + ], + "槺": [ + "ㄎㄤ1" + ], + "槻": [ + "ㄍㄨㄟ1" + ], + "槼": [ + "ㄍㄨㄟ1" + ], + "槽": [ + "ㄘㄠ2", + "ㄗㄠ1" + ], + "槾": [ + "ㄇㄢ4", + "ㄨㄢ4", + "ㄇㄢ2" + ], + "槿": [ + "ㄐㄧㄣ3", + "ㄑㄧㄣ2" + ], + "樀": [ + "ㄉㄧ2", + "ㄓ2", + "ㄓㄜ2", + "ㄉㄧ1" + ], + "樁": [ + "ㄓㄨㄤ1", + "ㄔㄨㄥ1" + ], + "樂": [ + "ㄌㄜ4", + "ㄩㄝ4", + "ㄧㄠ4", + "ㄌㄨㄛ4", + "ㄌㄧㄠ2" + ], + "樃": [ + "ㄌㄤ3" + ], + "樄": [ + "ㄔㄣ2" + ], + "樅": [ + "ㄘㄨㄥ1", + "ㄗㄨㄥ1" + ], + "樆": [ + "ㄌㄧ2", + "ㄔ1" + ], + "樇": [ + "ㄒㄧㄡ1" + ], + "樈": [ + "ㄑㄧㄥ2" + ], + "樉": [ + "ㄕㄨㄤ3" + ], + "樊": [ + "ㄈㄢ2", + "ㄈㄢ4" + ], + "樋": [ + "ㄊㄨㄥ1" + ], + "樌": [ + "ㄍㄨㄢ4" + ], + "樍": [ + "ㄗㄜ2" + ], + "樎": [ + "ㄙㄨ4" + ], + "樏": [ + "ㄌㄟ3", + "ㄌㄟ2" + ], + "樐": [ + "ㄌㄨ3" + ], + "樑": [ + "ㄌㄧㄤ2" + ], + "樒": [ + "ㄇㄧ4" + ], + "樓": [ + "ㄌㄡ2", + "ㄌㄩ2" + ], + "樔": [ + "ㄔㄠ2", + "ㄔㄠ1", + "ㄐㄧㄠ3" + ], + "樕": [ + "ㄙㄨ4" + ], + "樖": [ + "ㄎㄜ1" + ], + "樗": [ + "ㄔㄨ1" + ], + "樘": [ + "ㄊㄤ2", + "ㄔㄥ1" + ], + "標": [ + "ㄅㄧㄠ1", + "ㄅㄧㄠ4" + ], + "樚": [ + "ㄌㄨ4", + "ㄉㄨ2" + ], + "樛": [ + "ㄐㄧㄡ1", + "ㄌㄧㄠ2" + ], + "樜": [ + "ㄓㄜ4" + ], + "樝": [ + "ㄓㄚ1" + ], + "樞": [ + "ㄕㄨ1", + "ㄡ1" + ], + "樟": [ + "ㄓㄤ1" + ], + "樠": [ + "ㄇㄢ2", + "ㄌㄤ3" + ], + "模": [ + "ㄇㄛ2", + "ㄇㄨ2" + ], + "樢": [ + "ㄋㄧㄠ3", + "ㄇㄨ4" + ], + "樣": [ + "ㄧㄤ4", + "ㄒㄧㄤ4" + ], + "樤": [ + "ㄊㄧㄠ2" + ], + "樥": [ + "ㄆㄥ2" + ], + "樦": [ + "ㄓㄨ4" + ], + "樧": [ + "ㄕㄚ1" + ], + "樨": [ + "ㄒㄧ1" + ], + "権": [ + "ㄑㄩㄢ2" + ], + "横": [ + "ㄏㄥ2", + "ㄏㄥ4", + "ㄍㄨㄤ1", + "ㄍㄨㄤ4", + "ㄏㄨㄤ2", + "ㄏㄨㄤ4" + ], + "樫": [ + "ㄐㄧㄢ1" + ], + "樬": [ + "ㄘㄨㄥ1" + ], + "樭": [ + "ㄐㄧ1" + ], + "樮": [ + "ㄧㄢ1" + ], + "樯": [ + "ㄑㄧㄤ2" + ], + "樰": [ + "ㄒㄩㄝ3" + ], + "樱": [ + "ㄧㄥ1" + ], + "樲": [ + "ㄦ4", + "ㄓ4" + ], + "樳": [ + "ㄒㄩㄣ2" + ], + "樴": [ + "ㄓ2", + "ㄧ4" + ], + "樵": [ + "ㄑㄧㄠ2" + ], + "樶": [ + "ㄗㄨㄟ1" + ], + "樷": [ + "ㄘㄨㄥ2" + ], + "樸": [ + "ㄆㄨ3", + "ㄆㄨ2" + ], + "樹": [ + "ㄕㄨ4" + ], + "樺": [ + "ㄏㄨㄚ4" + ], + "樻": [ + "ㄎㄨㄟ4" + ], + "樼": [ + "ㄓㄣ1" + ], + "樽": [ + "ㄗㄨㄣ1" + ], + "樾": [ + "ㄩㄝ4" + ], + "樿": [ + "ㄕㄢ4" + ], + "橀": [ + "ㄒㄧ1" + ], + "橁": [ + "ㄔㄨㄣ1" + ], + "橂": [ + "ㄉㄧㄢ4" + ], + "橃": [ + "ㄈㄚ2", + "ㄈㄟ4" + ], + "橄": [ + "ㄍㄢ3" + ], + "橅": [ + "ㄇㄛ2" + ], + "橆": [ + "ㄨ3", + "ㄨ2" + ], + "橇": [ + "ㄑㄧㄠ1" + ], + "橈": [ + "ㄖㄠ2", + "ㄋㄠ2" + ], + "橉": [ + "ㄌㄧㄣ4" + ], + "橊": [ + "ㄌㄧㄡ2" + ], + "橋": [ + "ㄑㄧㄠ2", + "ㄐㄧㄠ1", + "ㄐㄧㄠ4", + "ㄑㄧㄠ1", + "ㄐㄧㄠ3" + ], + "橌": [ + "ㄒㄧㄢ4" + ], + "橍": [ + "ㄖㄨㄣ4" + ], + "橎": [ + "ㄈㄢ2" + ], + "橏": [ + "ㄓㄢ3", + "ㄐㄧㄢ3" + ], + "橐": [ + "ㄊㄨㄛ2", + "ㄉㄨ4", + "ㄌㄨㄛ4" + ], + "橑": [ + "ㄌㄠ3", + "ㄌㄧㄠ2" + ], + "橒": [ + "ㄩㄣ2" + ], + "橓": [ + "ㄕㄨㄣ4" + ], + "橔": [ + "ㄉㄨㄣ1", + "ㄊㄨㄟ2" + ], + "橕": [ + "ㄔㄥ1" + ], + "橖": [ + "ㄊㄤ2", + "ㄔㄥ1" + ], + "橗": [ + "ㄇㄥ2" + ], + "橘": [ + "ㄐㄩ2" + ], + "橙": [ + "ㄔㄥ2", + "ㄉㄥ4", + "ㄔㄣ2" + ], + "橚": [ + "ㄙㄨ4", + "ㄒㄧㄠ1", + "ㄑㄧㄡ1" + ], + "橛": [ + "ㄐㄩㄝ2" + ], + "橜": [ + "ㄐㄩㄝ2" + ], + "橝": [ + "ㄉㄧㄢ4", + "ㄊㄢ2", + "ㄒㄧㄣ2" + ], + "橞": [ + "ㄏㄨㄟ4" + ], + "機": [ + "ㄐㄧ1" + ], + "橠": [ + "ㄋㄨㄛ3", + "ㄋㄨㄛ2" + ], + "橡": [ + "ㄒㄧㄤ4" + ], + "橢": [ + "ㄊㄨㄛ3", + "ㄉㄨㄛ3" + ], + "橣": [ + "ㄋㄧㄥ3" + ], + "橤": [ + "ㄖㄨㄟ3" + ], + "橥": [ + "ㄓㄨ1" + ], + "橦": [ + "ㄊㄨㄥ2", + "ㄔㄨㄤ2", + "ㄓㄨㄥ1", + "ㄔㄨㄥ1" + ], + "橧": [ + "ㄗㄥ1", + "ㄘㄥ2" + ], + "橨": [ + "ㄈㄣ2", + "ㄈㄣ4", + "ㄈㄟ4" + ], + "橩": [ + "ㄑㄩㄥ2" + ], + "橪": [ + "ㄖㄢ3", + "ㄧㄢ1" + ], + "橫": [ + "ㄏㄥ2" + ], + "橬": [ + "ㄑㄧㄢ2", + "ㄑㄧㄣ2" + ], + "橭": [ + "ㄍㄨ1" + ], + "橮": [ + "ㄌㄧㄡ3" + ], + "橯": [ + "ㄌㄠ4" + ], + "橰": [ + "ㄍㄠ1" + ], + "橱": [ + "ㄔㄨ2" + ], + "橲": [ + "ㄒㄧ3" + ], + "橳": [ + "ㄕㄥ4" + ], + "橴": [ + "ㄗ3" + ], + "橵": [ + "ㄙㄢ5" + ], + "橶": [ + "ㄐㄧ2" + ], + "橷": [ + "ㄉㄡ1" + ], + "橸": [ + "ㄐㄧㄥ1" + ], + "橹": [ + "ㄌㄨ3" + ], + "橺": [ + "ㄐㄧㄢ5" + ], + "橻": [ + "ㄔㄨ5" + ], + "橼": [ + "ㄩㄢ2" + ], + "橽": [ + "ㄊㄚ4" + ], + "橾": [ + "ㄕㄨ1", + "ㄑㄧㄠ1", + "ㄙㄠ1" + ], + "橿": [ + "ㄐㄧㄤ1" + ], + "檀": [ + "ㄊㄢ2", + "ㄕㄢ4" + ], + "檁": [ + "ㄌㄧㄣ3" + ], + "檂": [ + "ㄋㄨㄥ2" + ], + "檃": [ + "ㄧㄣ3" + ], + "檄": [ + "ㄒㄧ2" + ], + "檅": [ + "ㄏㄨㄟ4" + ], + "檆": [ + "ㄕㄢ1" + ], + "檇": [ + "ㄗㄨㄟ4" + ], + "檈": [ + "ㄒㄩㄢ2" + ], + "檉": [ + "ㄔㄥ1" + ], + "檊": [ + "ㄍㄢ4" + ], + "檋": [ + "ㄐㄩ2" + ], + "檌": [ + "ㄗㄨㄟ4" + ], + "檍": [ + "ㄧ4" + ], + "檎": [ + "ㄑㄧㄣ2" + ], + "檏": [ + "ㄆㄨ3" + ], + "檐": [ + "ㄧㄢ2", + "ㄉㄢ1" + ], + "檑": [ + "ㄌㄟ2", + "ㄌㄟ4" + ], + "檒": [ + "ㄈㄥ1" + ], + "檓": [ + "ㄏㄨㄟ3" + ], + "檔": [ + "ㄉㄤ4", + "ㄉㄤ1" + ], + "檕": [ + "ㄐㄧ4" + ], + "檖": [ + "ㄙㄨㄟ4" + ], + "檗": [ + "ㄅㄛ4", + "ㄅㄧ4" + ], + "檘": [ + "ㄆㄧㄥ2", + "ㄅㄛ4" + ], + "檙": [ + "ㄔㄥ2" + ], + "檚": [ + "ㄔㄨ3" + ], + "檛": [ + "ㄓㄨㄚ1" + ], + "檜": [ + "ㄍㄨㄟ4", + "ㄎㄨㄞ4", + "ㄏㄨㄟ4" + ], + "檝": [ + "ㄐㄧ2" + ], + "檞": [ + "ㄐㄧㄝ3", + "ㄒㄧㄝ4" + ], + "檟": [ + "ㄐㄧㄚ3" + ], + "檠": [ + "ㄑㄧㄥ2", + "ㄐㄧㄥ4" + ], + "檡": [ + "ㄓㄞ2", + "ㄕ4", + "ㄊㄨ2" + ], + "檢": [ + "ㄐㄧㄢ3" + ], + "檣": [ + "ㄑㄧㄤ2" + ], + "檤": [ + "ㄉㄠ4" + ], + "檥": [ + "ㄧ3" + ], + "檦": [ + "ㄅㄧㄠ3" + ], + "檧": [ + "ㄙㄨㄥ1" + ], + "檨": [ + "ㄕㄜ1" + ], + "檩": [ + "ㄌㄧㄣ3" + ], + "檪": [ + "ㄌㄧ4" + ], + "檫": [ + "ㄔㄚ2", + "ㄙㄚ4" + ], + "檬": [ + "ㄇㄥ2" + ], + "檭": [ + "ㄧㄣ2" + ], + "檮": [ + "ㄊㄠ2", + "ㄔㄡ2", + "ㄉㄠ4" + ], + "檯": [ + "ㄊㄞ2" + ], + "檰": [ + "ㄇㄧㄢ2" + ], + "檱": [ + "ㄑㄧ2" + ], + "檲": [ + "ㄊㄨㄢ2" + ], + "檳": [ + "ㄅㄧㄣ1", + "ㄅㄧㄥ1" + ], + "檴": [ + "ㄏㄨㄛ4", + "ㄏㄨㄚ4" + ], + "檵": [ + "ㄐㄧ4" + ], + "檶": [ + "ㄑㄧㄢ1" + ], + "檷": [ + "ㄋㄧ3", + "ㄇㄧ2" + ], + "檸": [ + "ㄋㄧㄥ2" + ], + "檹": [ + "ㄧ1" + ], + "檺": [ + "ㄍㄠ3" + ], + "檻": [ + "ㄎㄢ3", + "ㄐㄧㄢ4" + ], + "檼": [ + "ㄧㄣ4" + ], + "檽": [ + "ㄋㄡ4", + "ㄖㄨㄢ3", + "ㄖㄨ2" + ], + "檾": [ + "ㄑㄧㄥ3" + ], + "檿": [ + "ㄧㄢ3" + ], + "櫀": [ + "ㄑㄧ2" + ], + "櫁": [ + "ㄇㄧ4" + ], + "櫂": [ + "ㄓㄠ4", + "ㄉㄧ2" + ], + "櫃": [ + "ㄍㄨㄟ4" + ], + "櫄": [ + "ㄔㄨㄣ1" + ], + "櫅": [ + "ㄐㄧ1", + "ㄐㄧ4" + ], + "櫆": [ + "ㄎㄨㄟ2" + ], + "櫇": [ + "ㄆㄛ2" + ], + "櫈": [ + "ㄉㄥ4" + ], + "櫉": [ + "ㄔㄨ2" + ], + "櫊": [ + "ㄍㄜ2" + ], + "櫋": [ + "ㄇㄧㄢ2" + ], + "櫌": [ + "ㄧㄡ1" + ], + "櫍": [ + "ㄓ4" + ], + "櫎": [ + "ㄏㄨㄤ3", + "ㄍㄨㄤ4", + "ㄍㄨㄛ3", + "ㄍㄨ3" + ], + "櫏": [ + "ㄑㄧㄢ1" + ], + "櫐": [ + "ㄌㄟ3" + ], + "櫑": [ + "ㄌㄟ2", + "ㄌㄟ3" + ], + "櫒": [ + "ㄙㄚ4" + ], + "櫓": [ + "ㄌㄨ3" + ], + "櫔": [ + "ㄌㄧ4" + ], + "櫕": [ + "ㄘㄨㄢ2" + ], + "櫖": [ + "ㄌㄩ4", + "ㄔㄨ1" + ], + "櫗": [ + "ㄇㄧㄝ4", + "ㄇㄟ4" + ], + "櫘": [ + "ㄏㄨㄟ4" + ], + "櫙": [ + "ㄡ1" + ], + "櫚": [ + "ㄌㄩ2" + ], + "櫛": [ + "ㄓ4" + ], + "櫜": [ + "ㄍㄠ1" + ], + "櫝": [ + "ㄉㄨ2" + ], + "櫞": [ + "ㄩㄢ2" + ], + "櫟": [ + "ㄌㄧ4", + "ㄌㄨㄛ4", + "ㄩㄝ4" + ], + "櫠": [ + "ㄈㄟ4" + ], + "櫡": [ + "ㄓㄨㄛ2", + "ㄓㄨ4" + ], + "櫢": [ + "ㄙㄡ3" + ], + "櫣": [ + "ㄌㄧㄢ2" + ], + "櫤": [ + "ㄐㄧㄤ4" + ], + "櫥": [ + "ㄔㄨ2" + ], + "櫦": [ + "ㄑㄧㄥ4" + ], + "櫧": [ + "ㄓㄨ1" + ], + "櫨": [ + "ㄌㄨ2", + "ㄌㄩ2" + ], + "櫩": [ + "ㄧㄢ2", + "ㄧㄢ3" + ], + "櫪": [ + "ㄌㄧ4" + ], + "櫫": [ + "ㄓㄨ1" + ], + "櫬": [ + "ㄔㄣ4", + "ㄑㄧㄣ4", + "ㄍㄨㄢ4" + ], + "櫭": [ + "ㄐㄧㄝ2", + "ㄐㄧ4" + ], + "櫮": [ + "ㄜ4" + ], + "櫯": [ + "ㄙㄨ1" + ], + "櫰": [ + "ㄏㄨㄞ2", + "ㄍㄨㄟ1" + ], + "櫱": [ + "ㄋㄧㄝ4" + ], + "櫲": [ + "ㄩ4" + ], + "櫳": [ + "ㄌㄨㄥ2" + ], + "櫴": [ + "ㄌㄞ4" + ], + "櫵": [ + "ㄐㄧㄠ5" + ], + "櫶": [ + "ㄒㄧㄢ3" + ], + "櫷": [ + "ㄍㄨㄟ1" + ], + "櫸": [ + "ㄐㄩ3" + ], + "櫹": [ + "ㄒㄧㄠ1", + "ㄑㄧㄡ1", + "ㄒㄧㄡ1" + ], + "櫺": [ + "ㄌㄧㄥ2" + ], + "櫻": [ + "ㄧㄥ1" + ], + "櫼": [ + "ㄐㄧㄢ1", + "ㄕㄢ1" + ], + "櫽": [ + "ㄧㄣ3" + ], + "櫾": [ + "ㄧㄡ2", + "ㄧㄡ4" + ], + "櫿": [ + "ㄧㄥ2" + ], + "欀": [ + "ㄒㄧㄤ1", + "ㄖㄤ4" + ], + "欁": [ + "ㄋㄨㄥ2" + ], + "欂": [ + "ㄅㄛ2" + ], + "欃": [ + "ㄔㄢ2", + "ㄓㄢ4" + ], + "欄": [ + "ㄌㄢ2", + "ㄌㄧㄢ4" + ], + "欅": [ + "ㄐㄩ3" + ], + "欆": [ + "ㄕㄨㄤ1" + ], + "欇": [ + "ㄕㄜ4" + ], + "欈": [ + "ㄨㄟ2", + "ㄗㄨㄟ4" + ], + "欉": [ + "ㄘㄨㄥ2" + ], + "權": [ + "ㄑㄩㄢ2", + "ㄍㄨㄢ4" + ], + "欋": [ + "ㄑㄩ2" + ], + "欌": [ + "ㄘㄤ2" + ], + "欍": [ + "ㄐㄧㄡ4" + ], + "欎": [ + "ㄩ4" + ], + "欏": [ + "ㄌㄨㄛ2", + "ㄌㄨㄛ3" + ], + "欐": [ + "ㄌㄧ4", + "ㄌㄧ3" + ], + "欑": [ + "ㄘㄨㄢ2", + "ㄗㄨㄢ4" + ], + "欒": [ + "ㄌㄨㄢ2" + ], + "欓": [ + "ㄉㄤ3", + "ㄊㄤ3" + ], + "欔": [ + "ㄐㄩㄝ2" + ], + "欕": [ + "ㄧㄢ2" + ], + "欖": [ + "ㄌㄢ3" + ], + "欗": [ + "ㄌㄢ2" + ], + "欘": [ + "ㄓㄨ2" + ], + "欙": [ + "ㄌㄟ2", + "ㄌㄨㄛ3" + ], + "欚": [ + "ㄌㄧ3" + ], + "欛": [ + "ㄅㄚ4" + ], + "欜": [ + "ㄋㄤ2" + ], + "欝": [ + "ㄩ4" + ], + "欞": [ + "ㄌㄧㄥ2" + ], + "欟": [ + "ㄍㄨㄤ5" + ], + "欠": [ + "ㄑㄧㄢ4" + ], + "次": [ + "ㄘ4", + "ㄗ1", + "ㄘ2" + ], + "欢": [ + "ㄏㄨㄢ1" + ], + "欣": [ + "ㄒㄧㄣ1" + ], + "欤": [ + "ㄩ2" + ], + "欥": [ + "ㄧ4", + "ㄏㄨㄢ1", + "ㄩ4" + ], + "欦": [ + "ㄑㄧㄢ1", + "ㄏㄢ1", + "ㄒㄧㄢ1", + "ㄑㄧㄢ2" + ], + "欧": [ + "ㄡ1" + ], + "欨": [ + "ㄒㄩ1" + ], + "欩": [ + "ㄔㄠ1" + ], + "欪": [ + "ㄔㄨ4", + "ㄒㄧ4", + "ㄑㄩ4" + ], + "欫": [ + "ㄑㄧ4" + ], + "欬": [ + "ㄎㄞ4", + "ㄞ4" + ], + "欭": [ + "ㄧ4", + "ㄧㄣ1" + ], + "欮": [ + "ㄐㄩㄝ2" + ], + "欯": [ + "ㄒㄧ4", + "ㄎㄞ4" + ], + "欰": [ + "ㄒㄩ4" + ], + "欱": [ + "ㄏㄜ1", + "ㄒㄧㄚ2" + ], + "欲": [ + "ㄩ4" + ], + "欳": [ + "ㄎㄨㄟ4" + ], + "欴": [ + "ㄌㄤ2" + ], + "欵": [ + "ㄎㄨㄢ3" + ], + "欶": [ + "ㄕㄨㄛ4", + "ㄙㄡ4" + ], + "欷": [ + "ㄒㄧ1" + ], + "欸": [ + "ㄞ1", + "ㄞ3", + "ê1", + "ê2", + "ê3", + "ê4", + "ㄒㄧㄝ4", + "ㄟ2", + "ㄟ3", + "ㄟ4", + "ㄟ1" + ], + "欹": [ + "ㄧ1", + "ㄑㄧ1" + ], + "欺": [ + "ㄑㄧ1" + ], + "欻": [ + "ㄔㄨㄚ1", + "ㄒㄩ1" + ], + "欼": [ + "ㄔ3", + "ㄔㄨㄞ4" + ], + "欽": [ + "ㄑㄧㄣ1", + "ㄑㄧㄣ4", + "ㄧㄣ2" + ], + "款": [ + "ㄎㄨㄢ3", + "ㄒㄧㄣ1" + ], + "欿": [ + "ㄎㄢ3", + "ㄑㄧㄢ4", + "ㄉㄢ4" + ], + "歀": [ + "ㄎㄨㄢ3" + ], + "歁": [ + "ㄎㄢ3", + "ㄎㄜ4", + "ㄑㄧㄢ3" + ], + "歂": [ + "ㄔㄨㄢ3", + "ㄔㄨㄢ2" + ], + "歃": [ + "ㄕㄚ4", + "ㄒㄧㄚ2" + ], + "歄": [ + "ㄍㄨㄚ1" + ], + "歅": [ + "ㄧㄣ1" + ], + "歆": [ + "ㄒㄧㄣ1" + ], + "歇": [ + "ㄒㄧㄝ1", + "ㄧㄚ4" + ], + "歈": [ + "ㄩ2" + ], + "歉": [ + "ㄑㄧㄢ4" + ], + "歊": [ + "ㄒㄧㄠ1" + ], + "歋": [ + "ㄧㄝ4" + ], + "歌": [ + "ㄍㄜ1" + ], + "歍": [ + "ㄨ1", + "ㄧㄤ1" + ], + "歎": [ + "ㄊㄢ4" + ], + "歏": [ + "ㄐㄧㄣ4", + "ㄑㄩㄣ1" + ], + "歐": [ + "ㄡ1", + "ㄡ3" + ], + "歑": [ + "ㄏㄨ1" + ], + "歒": [ + "ㄊㄧ4", + "ㄒㄧㄠ1" + ], + "歓": [ + "ㄏㄨㄢ1" + ], + "歔": [ + "ㄒㄩ1" + ], + "歕": [ + "ㄆㄣ1" + ], + "歖": [ + "ㄒㄧ3", + "ㄧ3" + ], + "歗": [ + "ㄒㄧㄠ4" + ], + "歘": [ + "ㄔㄨㄚ1", + "ㄒㄩ1" + ], + "歙": [ + "ㄕㄜ4", + "ㄒㄧ1", + "ㄒㄧㄝ2" + ], + "歚": [ + "ㄕㄢ4" + ], + "歛": [ + "ㄏㄢ1", + "ㄌㄧㄢ3" + ], + "歜": [ + "ㄔㄨ4" + ], + "歝": [ + "ㄧ4" + ], + "歞": [ + "ㄜ4" + ], + "歟": [ + "ㄩ2" + ], + "歠": [ + "ㄔㄨㄛ4" + ], + "歡": [ + "ㄏㄨㄢ1" + ], + "止": [ + "ㄓ3" + ], + "正": [ + "ㄓㄥ4", + "ㄓㄥ1" + ], + "此": [ + "ㄘ3" + ], + "步": [ + "ㄅㄨ4" + ], + "武": [ + "ㄨ3" + ], + "歧": [ + "ㄑㄧ2" + ], + "歨": [ + "ㄅㄨ4" + ], + "歩": [ + "ㄅㄨ4" + ], + "歪": [ + "ㄨㄞ1", + "ㄨㄞ3" + ], + "歫": [ + "ㄐㄩ4" + ], + "歬": [ + "ㄑㄧㄢ2" + ], + "歭": [ + "ㄔ2", + "ㄓ4" + ], + "歮": [ + "ㄙㄜ4" + ], + "歯": [ + "ㄔ3" + ], + "歰": [ + "ㄙㄜ4", + "ㄕㄚ4" + ], + "歱": [ + "ㄓㄨㄥ3" + ], + "歲": [ + "ㄙㄨㄟ4", + "ㄙㄨㄛ4" + ], + "歳": [ + "ㄙㄨㄟ4" + ], + "歴": [ + "ㄌㄧ4" + ], + "歵": [ + "ㄗㄜ2" + ], + "歶": [ + "ㄩ2" + ], + "歷": [ + "ㄌㄧ4" + ], + "歸": [ + "ㄍㄨㄟ1", + "ㄎㄨㄟ4", + "ㄎㄨㄟ2" + ], + "歹": [ + "ㄉㄞ3", + "ㄜ4", + "ㄉㄞ1" + ], + "歺": [ + "ㄜ4" + ], + "死": [ + "ㄙ3" + ], + "歼": [ + "ㄐㄧㄢ1" + ], + "歽": [ + "ㄓㄜ2" + ], + "歾": [ + "ㄇㄛ4", + "ㄨㄣ3" + ], + "歿": [ + "ㄇㄛ4" + ], + "殀": [ + "ㄧㄠ1" + ], + "殁": [ + "ㄇㄛ4", + "ㄨㄣ3" + ], + "殂": [ + "ㄘㄨ2" + ], + "殃": [ + "ㄧㄤ1" + ], + "殄": [ + "ㄊㄧㄢ3" + ], + "殅": [ + "ㄕㄥ1" + ], + "殆": [ + "ㄉㄞ4" + ], + "殇": [ + "ㄕㄤ1" + ], + "殈": [ + "ㄒㄩ4" + ], + "殉": [ + "ㄒㄩㄣ4" + ], + "殊": [ + "ㄕㄨ1" + ], + "残": [ + "ㄘㄢ2" + ], + "殌": [ + "ㄐㄩㄝ2" + ], + "殍": [ + "ㄆㄧㄠ3", + "ㄅㄧ4" + ], + "殎": [ + "ㄑㄧㄚ4" + ], + "殏": [ + "ㄑㄧㄡ2" + ], + "殐": [ + "ㄙㄨ4" + ], + "殑": [ + "ㄑㄧㄥ2", + "ㄐㄧㄥ1", + "ㄐㄧㄥ4" + ], + "殒": [ + "ㄩㄣ3" + ], + "殓": [ + "ㄌㄧㄢ4" + ], + "殔": [ + "ㄧ4" + ], + "殕": [ + "ㄈㄡ3", + "ㄧㄝ4", + "ㄅㄛ2" + ], + "殖": [ + "ㄓ2", + "ㄕ5", + "ㄕ4" + ], + "殗": [ + "ㄧㄝ4", + "ㄧㄢ4", + "ㄧㄢ1" + ], + "殘": [ + "ㄘㄢ2" + ], + "殙": [ + "ㄏㄨㄣ1", + "ㄇㄣ4" + ], + "殚": [ + "ㄉㄢ1" + ], + "殛": [ + "ㄐㄧ2" + ], + "殜": [ + "ㄉㄧㄝ2" + ], + "殝": [ + "ㄓㄣ1" + ], + "殞": [ + "ㄩㄣ3" + ], + "殟": [ + "ㄨㄣ1" + ], + "殠": [ + "ㄔㄡ4" + ], + "殡": [ + "ㄅㄧㄣ4" + ], + "殢": [ + "ㄊㄧ4" + ], + "殣": [ + "ㄐㄧㄣ4" + ], + "殤": [ + "ㄕㄤ1" + ], + "殥": [ + "ㄧㄣ2" + ], + "殦": [ + "ㄉㄧㄠ1" + ], + "殧": [ + "ㄐㄧㄡ4" + ], + "殨": [ + "ㄏㄨㄟ4", + "ㄎㄨㄟ4" + ], + "殩": [ + "ㄘㄨㄢ4" + ], + "殪": [ + "ㄧ4" + ], + "殫": [ + "ㄉㄢ1" + ], + "殬": [ + "ㄉㄨ4" + ], + "殭": [ + "ㄐㄧㄤ1" + ], + "殮": [ + "ㄌㄧㄢ4" + ], + "殯": [ + "ㄅㄧㄣ4" + ], + "殰": [ + "ㄉㄨ2" + ], + "殱": [ + "ㄐㄧㄢ1" + ], + "殲": [ + "ㄐㄧㄢ1" + ], + "殳": [ + "ㄕㄨ1" + ], + "殴": [ + "ㄡ1" + ], + "段": [ + "ㄉㄨㄢ4" + ], + "殶": [ + "ㄓㄨ4" + ], + "殷": [ + "ㄧㄣ1", + "ㄧㄢ1", + "ㄧㄣ3" + ], + "殸": [ + "ㄑㄧㄥ4", + "ㄎㄥ1", + "ㄕㄥ1" + ], + "殹": [ + "ㄧ4" + ], + "殺": [ + "ㄕㄚ1", + "ㄕㄞ4", + "ㄙㄚ4", + "ㄒㄧㄝ4", + "ㄕ4" + ], + "殻": [ + "ㄑㄧㄠ4" + ], + "殼": [ + "ㄎㄜ2", + "ㄑㄧㄠ4" + ], + "殽": [ + "ㄒㄧㄠ2", + "ㄧㄠ2", + "ㄒㄧㄠ4" + ], + "殾": [ + "ㄒㄩㄣ4" + ], + "殿": [ + "ㄉㄧㄢ4" + ], + "毀": [ + "ㄏㄨㄟ3" + ], + "毁": [ + "ㄏㄨㄟ3", + "ㄏㄨㄟ4" + ], + "毂": [ + "ㄍㄨ3", + "ㄍㄨ1" + ], + "毃": [ + "ㄑㄧㄠ1" + ], + "毄": [ + "ㄐㄧ1" + ], + "毅": [ + "ㄧ4" + ], + "毆": [ + "ㄡ1", + "ㄎㄡ1", + "ㄑㄩ1" + ], + "毇": [ + "ㄏㄨㄟ3" + ], + "毈": [ + "ㄉㄨㄢ4" + ], + "毉": [ + "ㄧ1" + ], + "毊": [ + "ㄒㄧㄠ1" + ], + "毋": [ + "ㄨ2", + "ㄇㄡ2" + ], + "毌": [ + "ㄍㄨㄢ4" + ], + "母": [ + "ㄇㄨ3", + "ㄇㄨ2", + "ㄨ3", + "ㄨ2" + ], + "毎": [ + "ㄇㄟ3" + ], + "每": [ + "ㄇㄟ3" + ], + "毐": [ + "ㄞ3" + ], + "毑": [ + "ㄐㄧㄝ3" + ], + "毒": [ + "ㄉㄨ2", + "ㄉㄞ4" + ], + "毓": [ + "ㄩ4" + ], + "比": [ + "ㄅㄧ3", + "ㄅㄧ4", + "ㄆㄧ2", + "ㄆㄧ3" + ], + "毕": [ + "ㄅㄧ4" + ], + "毖": [ + "ㄅㄧ4" + ], + "毗": [ + "ㄆㄧ2" + ], + "毘": [ + "ㄆㄧ2" + ], + "毙": [ + "ㄅㄧ4" + ], + "毚": [ + "ㄔㄢ2" + ], + "毛": [ + "ㄇㄠ2", + "ㄇㄠ4" + ], + "毜": [ + "ㄏㄠ2" + ], + "毝": [ + "ㄘㄞ3" + ], + "毞": [ + "ㄆㄧ2" + ], + "毟": [ + "ㄌㄧㄝ3" + ], + "毠": [ + "ㄐㄧㄚ1" + ], + "毡": [ + "ㄓㄢ1" + ], + "毢": [ + "ㄙㄞ1" + ], + "毣": [ + "ㄇㄨ4", + "ㄇㄠ4" + ], + "毤": [ + "ㄊㄨㄛ4" + ], + "毥": [ + "ㄒㄩㄣ2", + "ㄒㄩㄣ4" + ], + "毦": [ + "ㄦ3" + ], + "毧": [ + "ㄖㄨㄥ2" + ], + "毨": [ + "ㄒㄧㄢ3" + ], + "毩": [ + "ㄐㄩ2" + ], + "毪": [ + "ㄇㄨ2" + ], + "毫": [ + "ㄏㄠ2" + ], + "毬": [ + "ㄑㄧㄡ2" + ], + "毭": [ + "ㄉㄡ4", + "ㄋㄨㄛ4" + ], + "毮": [ + "ㄕㄚ1" + ], + "毯": [ + "ㄊㄢ3" + ], + "毰": [ + "ㄆㄟ2" + ], + "毱": [ + "ㄐㄩ2" + ], + "毲": [ + "ㄉㄨㄛ1" + ], + "毳": [ + "ㄘㄨㄟ4", + "ㄑㄧㄠ1", + "ㄒㄧㄚ1" + ], + "毴": [ + "ㄅㄧ1" + ], + "毵": [ + "ㄙㄢ1" + ], + "毶": [ + "ㄙㄢ1" + ], + "毷": [ + "ㄇㄠ4" + ], + "毸": [ + "ㄙㄞ1", + "ㄙㄨㄟ1" + ], + "毹": [ + "ㄕㄨ1", + "ㄩ2" + ], + "毺": [ + "ㄕㄨ1" + ], + "毻": [ + "ㄊㄨㄛ4" + ], + "毼": [ + "ㄏㄜ2", + "ㄎㄜ3", + "ㄉㄚ1" + ], + "毽": [ + "ㄐㄧㄢ4" + ], + "毾": [ + "ㄊㄚ4" + ], + "毿": [ + "ㄙㄢ1" + ], + "氀": [ + "ㄌㄩ2", + "ㄕㄨ1", + "ㄩ2", + "ㄉㄡ1" + ], + "氁": [ + "ㄇㄨ2" + ], + "氂": [ + "ㄇㄠ2", + "ㄌㄧ2" + ], + "氃": [ + "ㄊㄨㄥ2" + ], + "氄": [ + "ㄖㄨㄥ3", + "ㄖㄨㄥ2" + ], + "氅": [ + "ㄔㄤ3" + ], + "氆": [ + "ㄆㄨ3" + ], + "氇": [ + "ㄌㄨ5" + ], + "氈": [ + "ㄓㄢ1" + ], + "氉": [ + "ㄙㄠ4" + ], + "氊": [ + "ㄓㄢ1" + ], + "氋": [ + "ㄇㄥ2" + ], + "氌": [ + "ㄌㄨ3" + ], + "氍": [ + "ㄑㄩ2" + ], + "氎": [ + "ㄉㄧㄝ2" + ], + "氏": [ + "ㄕ4", + "ㄓ1", + "ㄐㄧㄥ1" + ], + "氐": [ + "ㄉㄧ1", + "ㄉㄧ3", + "ㄓ1" + ], + "民": [ + "ㄇㄧㄣ2" + ], + "氒": [ + "ㄐㄩㄝ2" + ], + "氓": [ + "ㄇㄤ2", + "ㄇㄥ2" + ], + "气": [ + "ㄑㄧ4", + "ㄑㄧ3" + ], + "氕": [ + "ㄆㄧㄝ1" + ], + "氖": [ + "ㄋㄞ3" + ], + "気": [ + "ㄑㄧ4" + ], + "氘": [ + "ㄉㄠ1" + ], + "氙": [ + "ㄒㄧㄢ1" + ], + "氚": [ + "ㄔㄨㄢ1" + ], + "氛": [ + "ㄈㄣ1" + ], + "氜": [ + "ㄧㄤ2", + "ㄖ4" + ], + "氝": [ + "ㄋㄟ4" + ], + "氞": [ + "ㄅㄧㄣ5" + ], + "氟": [ + "ㄈㄨ2" + ], + "氠": [ + "ㄕㄣ1" + ], + "氡": [ + "ㄉㄨㄥ1" + ], + "氢": [ + "ㄑㄧㄥ1" + ], + "氣": [ + "ㄑㄧ4", + "ㄒㄧ4" + ], + "氤": [ + "ㄧㄣ1", + "ㄧㄢ2" + ], + "氥": [ + "ㄒㄧ1" + ], + "氦": [ + "ㄏㄞ4" + ], + "氧": [ + "ㄧㄤ3" + ], + "氨": [ + "ㄢ1" + ], + "氩": [ + "ㄧㄚ4" + ], + "氪": [ + "ㄎㄜ4" + ], + "氫": [ + "ㄑㄧㄥ1" + ], + "氬": [ + "ㄧㄚ4" + ], + "氭": [ + "ㄉㄨㄥ1" + ], + "氮": [ + "ㄉㄢ4" + ], + "氯": [ + "ㄌㄩ4" + ], + "氰": [ + "ㄑㄧㄥ2" + ], + "氱": [ + "ㄧㄤ3" + ], + "氲": [ + "ㄩㄣ1", + "ㄩㄣ2" + ], + "氳": [ + "ㄩㄣ1" + ], + "水": [ + "ㄕㄨㄟ3" + ], + "氵": [ + "ㄕㄨㄟ5" + ], + "氶": [ + "ㄓㄥ3", + "ㄔㄥ2", + "ㄓㄥ4" + ], + "氷": [ + "ㄅㄧㄥ1" + ], + "永": [ + "ㄩㄥ3" + ], + "氹": [ + "ㄉㄤ4" + ], + "氺": [ + "ㄕㄨㄟ3" + ], + "氻": [ + "ㄌㄜ4" + ], + "氼": [ + "ㄋㄧ4", + "ㄇㄟ4" + ], + "氽": [ + "ㄊㄨㄣ3", + "ㄑㄧㄡ2" + ], + "氾": [ + "ㄈㄢ4", + "ㄈㄢ2" + ], + "氿": [ + "ㄍㄨㄟ3", + "ㄐㄧㄡ3", + "ㄑㄧㄡ2" + ], + "汀": [ + "ㄊㄧㄥ1", + "ㄊㄧㄥ4", + "ㄉㄧㄥ4" + ], + "汁": [ + "ㄓ1", + "ㄒㄧㄝ2", + "ㄕ2" + ], + "求": [ + "ㄑㄧㄡ2" + ], + "汃": [ + "ㄅㄧㄣ1", + "ㄆㄚ4", + "ㄆㄚ1" + ], + "汄": [ + "ㄗㄜ4" + ], + "汅": [ + "ㄇㄧㄢ3" + ], + "汆": [ + "ㄘㄨㄢ1" + ], + "汇": [ + "ㄏㄨㄟ4" + ], + "汈": [ + "ㄉㄧㄠ1" + ], + "汉": [ + "ㄏㄢ4" + ], + "汊": [ + "ㄔㄚ4" + ], + "汋": [ + "ㄓㄨㄛ2", + "ㄩㄝ4", + "ㄑㄩㄝ4", + "ㄕㄨㄛ4" + ], + "汌": [ + "ㄔㄨㄢ4" + ], + "汍": [ + "ㄨㄢ2", + "ㄏㄨㄢ2" + ], + "汎": [ + "ㄈㄢ4", + "ㄈㄚ2" + ], + "汏": [ + "ㄉㄚ4", + "ㄊㄞ4" + ], + "汐": [ + "ㄒㄧ1" + ], + "汑": [ + "ㄊㄨㄛ1" + ], + "汒": [ + "ㄇㄤ2", + "ㄇㄤ3" + ], + "汓": [ + "ㄑㄧㄡ2", + "ㄧㄡ2" + ], + "汔": [ + "ㄑㄧ4" + ], + "汕": [ + "ㄕㄢ4", + "ㄕㄨㄢ4" + ], + "汖": [ + "ㄆㄧㄣ4", + "ㄔ2" + ], + "汗": [ + "ㄏㄢ4", + "ㄏㄢ2", + "ㄍㄢ1" + ], + "汘": [ + "ㄑㄧㄢ1" + ], + "汙": [ + "ㄨ1", + "ㄩ2", + "ㄨㄚ1", + "ㄩ1" + ], + "汚": [ + "ㄨ1" + ], + "汛": [ + "ㄒㄩㄣ4" + ], + "汜": [ + "ㄙ4" + ], + "汝": [ + "ㄖㄨ3" + ], + "汞": [ + "ㄍㄨㄥ3" + ], + "江": [ + "ㄐㄧㄤ1" + ], + "池": [ + "ㄔ2", + "ㄊㄨㄛ2", + "ㄔㄜ4" + ], + "污": [ + "ㄨ1" + ], + "汢": [ + "ㄊㄨ5" + ], + "汣": [ + "ㄐㄧㄡ3" + ], + "汤": [ + "ㄊㄤ1", + "ㄕㄤ1" + ], + "汥": [ + "ㄓ1", + "ㄐㄧ4" + ], + "汦": [ + "ㄓ3" + ], + "汧": [ + "ㄑㄧㄢ1", + "ㄧㄢ2" + ], + "汨": [ + "ㄇㄧ4" + ], + "汩": [ + "ㄍㄨ3", + "ㄩ4", + "ㄏㄨ2" + ], + "汪": [ + "ㄨㄤ1", + "ㄨㄤ3", + "ㄏㄨㄥ2" + ], + "汫": [ + "ㄐㄧㄥ3" + ], + "汬": [ + "ㄐㄧㄥ3" + ], + "汭": [ + "ㄖㄨㄟ4", + "ㄊㄨㄣ1" + ], + "汮": [ + "ㄐㄩㄣ1" + ], + "汯": [ + "ㄏㄨㄥ2" + ], + "汰": [ + "ㄊㄞ4" + ], + "汱": [ + "ㄑㄩㄢ3", + "ㄈㄨ2" + ], + "汲": [ + "ㄐㄧ2", + "ㄐㄧ1" + ], + "汳": [ + "ㄅㄧㄢ4" + ], + "汴": [ + "ㄅㄧㄢ4" + ], + "汵": [ + "ㄍㄢ4", + "ㄏㄢ2", + "ㄘㄣ2" + ], + "汶": [ + "ㄨㄣ4", + "ㄨㄣ2", + "ㄇㄧㄣ2", + "ㄇㄣ2" + ], + "汷": [ + "ㄓㄨㄥ1" + ], + "汸": [ + "ㄈㄤ1", + "ㄆㄤ1" + ], + "汹": [ + "ㄒㄩㄥ1" + ], + "決": [ + "ㄐㄩㄝ2", + "ㄑㄩㄝ1", + "ㄒㄩㄝ4" + ], + "汻": [ + "ㄏㄨ3", + "ㄏㄨㄤ3" + ], + "汼": [ + "ㄋㄧㄡ2", + "ㄧㄡ2" + ], + "汽": [ + "ㄑㄧ4", + "ㄍㄞ4", + "ㄧ3" + ], + "汾": [ + "ㄈㄣ2", + "ㄆㄣ2", + "ㄈㄣ1" + ], + "汿": [ + "ㄒㄩ4" + ], + "沀": [ + "ㄒㄩ4" + ], + "沁": [ + "ㄑㄧㄣ4" + ], + "沂": [ + "ㄧ2", + "ㄧㄣ2" + ], + "沃": [ + "ㄨㄛ4" + ], + "沄": [ + "ㄩㄣ2" + ], + "沅": [ + "ㄩㄢ2" + ], + "沆": [ + "ㄏㄤ4", + "ㄏㄤ2", + "ㄎㄤ4" + ], + "沇": [ + "ㄧㄢ3", + "ㄨㄟ3" + ], + "沈": [ + "ㄕㄣ3", + "ㄔㄣ2", + "ㄊㄢ2" + ], + "沉": [ + "ㄔㄣ2" + ], + "沊": [ + "ㄉㄢ4" + ], + "沋": [ + "ㄧㄡ2" + ], + "沌": [ + "ㄉㄨㄣ4", + "ㄓㄨㄢ4", + "ㄊㄨㄣ2", + "ㄔㄨㄣ2" + ], + "沍": [ + "ㄏㄨ4", + "ㄏㄨ2" + ], + "沎": [ + "ㄏㄨㄛ4" + ], + "沏": [ + "ㄑㄧ1", + "ㄑㄧㄝ4" + ], + "沐": [ + "ㄇㄨ4" + ], + "沑": [ + "ㄋㄩ4", + "ㄋㄧㄡ3" + ], + "沒": [ + "ㄇㄟ2" + ], + "沓": [ + "ㄉㄚ2", + "ㄊㄚ4" + ], + "沔": [ + "ㄇㄧㄢ3" + ], + "沕": [ + "ㄇㄧ4", + "ㄨ4", + "ㄈㄨ1" + ], + "沖": [ + "ㄔㄨㄥ1" + ], + "沗": [ + "ㄆㄤ1", + "ㄊㄧㄢ1" + ], + "沘": [ + "ㄅㄧ3" + ], + "沙": [ + "ㄕㄚ1", + "ㄕㄚ4", + "ㄙㄨㄛ1" + ], + "沚": [ + "ㄓ3" + ], + "沛": [ + "ㄆㄟ4" + ], + "沜": [ + "ㄆㄢ4" + ], + "沝": [ + "ㄓㄨㄟ3", + "ㄗ3" + ], + "沞": [ + "ㄗㄚ1" + ], + "沟": [ + "ㄍㄡ1" + ], + "沠": [ + "ㄌㄧㄡ2" + ], + "没": [ + "ㄇㄟ2", + "ㄇㄛ4", + "ㄇㄜ5" + ], + "沢": [ + "ㄗㄜ2" + ], + "沣": [ + "ㄈㄥ1" + ], + "沤": [ + "ㄡ1", + "ㄡ4" + ], + "沥": [ + "ㄌㄧ4" + ], + "沦": [ + "ㄌㄨㄣ2" + ], + "沧": [ + "ㄘㄤ1" + ], + "沨": [ + "ㄈㄥ1" + ], + "沩": [ + "ㄨㄟ2" + ], + "沪": [ + "ㄏㄨ4" + ], + "沫": [ + "ㄇㄛ4" + ], + "沬": [ + "ㄇㄟ4", + "ㄏㄨㄟ4" + ], + "沭": [ + "ㄕㄨ4" + ], + "沮": [ + "ㄐㄩ3", + "ㄐㄩ1", + "ㄐㄩ4", + "ㄐㄧㄢ1", + "ㄗㄨ3" + ], + "沯": [ + "ㄗㄚ2" + ], + "沰": [ + "ㄊㄨㄛ1", + "ㄉㄨㄛ2" + ], + "沱": [ + "ㄊㄨㄛ2", + "ㄉㄨㄛ4", + "ㄔ2" + ], + "沲": [ + "ㄊㄨㄛ2" + ], + "河": [ + "ㄏㄜ2" + ], + "沴": [ + "ㄌㄧ4", + "ㄓㄣ3" + ], + "沵": [ + "ㄇㄧ3" + ], + "沶": [ + "ㄧ2", + "ㄔ2", + "ㄕ4" + ], + "沷": [ + "ㄈㄚ1" + ], + "沸": [ + "ㄈㄟ4", + "ㄈㄨ2" + ], + "油": [ + "ㄧㄡ2", + "ㄧㄡ4" + ], + "沺": [ + "ㄊㄧㄢ2" + ], + "治": [ + "ㄓ4", + "ㄔ2" + ], + "沼": [ + "ㄓㄠ3" + ], + "沽": [ + "ㄍㄨ1", + "ㄍㄨ3" + ], + "沾": [ + "ㄓㄢ1", + "ㄊㄧㄢ1", + "ㄉㄧㄢ4", + "ㄔㄢ1" + ], + "沿": [ + "ㄧㄢ2", + "ㄧㄢ3", + "ㄧㄢ4" + ], + "泀": [ + "ㄙ1" + ], + "況": [ + "ㄎㄨㄤ4" + ], + "泂": [ + "ㄐㄩㄥ3", + "ㄧㄥ2", + "ㄧㄥ3", + "ㄐㄩㄥ1" + ], + "泃": [ + "ㄐㄩ1", + "ㄍㄡ1" + ], + "泄": [ + "ㄒㄧㄝ4", + "ㄧ4" + ], + "泅": [ + "ㄑㄧㄡ2", + "ㄧㄡ1" + ], + "泆": [ + "ㄧ4", + "ㄉㄧㄝ2" + ], + "泇": [ + "ㄐㄧㄚ1" + ], + "泈": [ + "ㄓㄨㄥ1" + ], + "泉": [ + "ㄑㄩㄢ2" + ], + "泊": [ + "ㄆㄛ1", + "ㄅㄛ2", + "ㄆㄛ4" + ], + "泋": [ + "ㄏㄨㄟ4", + "ㄏㄨㄟ3" + ], + "泌": [ + "ㄇㄧ4", + "ㄅㄧ4" + ], + "泍": [ + "ㄅㄣ1", + "ㄅㄣ4" + ], + "泎": [ + "ㄗㄜ2" + ], + "泏": [ + "ㄓㄨ2", + "ㄎㄨ1" + ], + "泐": [ + "ㄌㄜ4" + ], + "泑": [ + "ㄧㄡ1", + "ㄠ1" + ], + "泒": [ + "ㄍㄨ1" + ], + "泓": [ + "ㄏㄨㄥ2" + ], + "泔": [ + "ㄍㄢ1", + "ㄏㄢ4" + ], + "法": [ + "ㄈㄚ3" + ], + "泖": [ + "ㄇㄠ3", + "ㄌㄧㄡ3" + ], + "泗": [ + "ㄙ4" + ], + "泘": [ + "ㄏㄨ1" + ], + "泙": [ + "ㄆㄧㄥ2", + "ㄆㄥ1" + ], + "泚": [ + "ㄘ3", + "ㄗ3" + ], + "泛": [ + "ㄈㄢ4", + "ㄈㄥ3", + "ㄈㄚ2" + ], + "泜": [ + "ㄓ1", + "ㄔ2", + "ㄓ4" + ], + "泝": [ + "ㄙㄨ4" + ], + "泞": [ + "ㄋㄧㄥ4", + "ㄓㄨ4" + ], + "泟": [ + "ㄔㄥ1" + ], + "泠": [ + "ㄌㄧㄥ2", + "ㄌㄧㄥ3" + ], + "泡": [ + "ㄆㄠ4", + "ㄆㄠ1", + "ㄆㄠ2" + ], + "波": [ + "ㄅㄛ1", + "ㄅㄟ1", + "ㄅㄧ4" + ], + "泣": [ + "ㄑㄧ4", + "ㄌㄧ4", + "ㄙㄜ4" + ], + "泤": [ + "ㄙ4" + ], + "泥": [ + "ㄋㄧ2", + "ㄋㄧ4", + "ㄋㄧ3", + "ㄋㄧㄝ4", + "ㄋㄧㄥ4" + ], + "泦": [ + "ㄐㄩ2" + ], + "泧": [ + "ㄙㄚ4", + "ㄒㄩㄝ4" + ], + "注": [ + "ㄓㄨ4", + "ㄓㄡ4" + ], + "泩": [ + "ㄕㄥ1" + ], + "泪": [ + "ㄌㄟ4" + ], + "泫": [ + "ㄒㄩㄢ4", + "ㄒㄩㄢ2", + "ㄐㄩㄢ1" + ], + "泬": [ + "ㄐㄩㄝ2", + "ㄒㄩㄝ4" + ], + "泭": [ + "ㄈㄨ2" + ], + "泮": [ + "ㄆㄢ4" + ], + "泯": [ + "ㄇㄧㄣ3", + "ㄇㄧㄢ4" + ], + "泰": [ + "ㄊㄞ4" + ], + "泱": [ + "ㄧㄤ1" + ], + "泲": [ + "ㄐㄧ3" + ], + "泳": [ + "ㄩㄥ3" + ], + "泴": [ + "ㄍㄨㄢ4" + ], + "泵": [ + "ㄅㄥ4", + "ㄆㄧㄣ4", + "ㄌㄧㄡ2" + ], + "泶": [ + "ㄒㄩㄝ2" + ], + "泷": [ + "ㄌㄨㄥ2", + "ㄕㄨㄤ1" + ], + "泸": [ + "ㄌㄨ2" + ], + "泹": [ + "ㄉㄢ4" + ], + "泺": [ + "ㄌㄨㄛ4", + "ㄆㄛ1" + ], + "泻": [ + "ㄒㄧㄝ4" + ], + "泼": [ + "ㄆㄛ1" + ], + "泽": [ + "ㄗㄜ2" + ], + "泾": [ + "ㄐㄧㄥ1" + ], + "泿": [ + "ㄧㄣ2" + ], + "洀": [ + "ㄆㄢ2", + "ㄓㄡ1" + ], + "洁": [ + "ㄐㄧㄝ2", + "ㄐㄧ2" + ], + "洂": [ + "ㄧㄝ4" + ], + "洃": [ + "ㄏㄨㄟ1" + ], + "洄": [ + "ㄏㄨㄟ2", + "ㄏㄨㄟ4" + ], + "洅": [ + "ㄗㄞ4" + ], + "洆": [ + "ㄔㄥ2" + ], + "洇": [ + "ㄧㄣ1", + "ㄧㄢ1", + "ㄧㄝ1" + ], + "洈": [ + "ㄨㄟ2" + ], + "洉": [ + "ㄏㄡ4" + ], + "洊": [ + "ㄐㄧㄢ4", + "ㄘㄨㄣ2" + ], + "洋": [ + "ㄧㄤ2", + "ㄒㄧㄤ2", + "ㄧㄤ3" + ], + "洌": [ + "ㄌㄧㄝ4" + ], + "洍": [ + "ㄙ4" + ], + "洎": [ + "ㄐㄧ4" + ], + "洏": [ + "ㄦ2" + ], + "洐": [ + "ㄒㄧㄥ2" + ], + "洑": [ + "ㄈㄨ2", + "ㄈㄨ4" + ], + "洒": [ + "ㄙㄚ3", + "ㄒㄧ3", + "ㄒㄧㄢ3", + "ㄙㄣ3", + "ㄘㄨㄟ3", + "ㄒㄩㄣ4" + ], + "洓": [ + "ㄙㄜ4", + "ㄑㄧ4", + "ㄗ4" + ], + "洔": [ + "ㄓ3" + ], + "洕": [ + "ㄧㄣ4" + ], + "洖": [ + "ㄨ2" + ], + "洗": [ + "ㄒㄧ3", + "ㄒㄧㄢ3" + ], + "洘": [ + "ㄎㄠ3", + "ㄎㄠ4" + ], + "洙": [ + "ㄓㄨ1" + ], + "洚": [ + "ㄐㄧㄤ4", + "ㄏㄨㄥ2" + ], + "洛": [ + "ㄌㄨㄛ4" + ], + "洜": [ + "ㄌㄨㄛ4" + ], + "洝": [ + "ㄢ4", + "ㄧㄢ4", + "ㄜ4" + ], + "洞": [ + "ㄉㄨㄥ4", + "ㄊㄨㄥ2" + ], + "洟": [ + "ㄊㄧ4" + ], + "洠": [ + "ㄇㄡ2" + ], + "洡": [ + "ㄌㄟ4", + "ㄌㄟ3" + ], + "洢": [ + "ㄧ1" + ], + "洣": [ + "ㄇㄧ3" + ], + "洤": [ + "ㄑㄩㄢ2" + ], + "津": [ + "ㄐㄧㄣ1" + ], + "洦": [ + "ㄆㄛ4" + ], + "洧": [ + "ㄨㄟ3" + ], + "洨": [ + "ㄒㄧㄠ2" + ], + "洩": [ + "ㄒㄧㄝ4", + "ㄧ4" + ], + "洪": [ + "ㄏㄨㄥ2" + ], + "洫": [ + "ㄒㄩ4", + "ㄧ4" + ], + "洬": [ + "ㄙㄨ4", + "ㄕㄨㄛ4" + ], + "洭": [ + "ㄎㄨㄤ1" + ], + "洮": [ + "ㄊㄠ2", + "ㄧㄠ2", + "ㄉㄠ4" + ], + "洯": [ + "ㄑㄧㄝ4", + "ㄐㄧㄝ2" + ], + "洰": [ + "ㄐㄩ4" + ], + "洱": [ + "ㄦ3" + ], + "洲": [ + "ㄓㄡ1" + ], + "洳": [ + "ㄖㄨ4", + "ㄖㄨ2" + ], + "洴": [ + "ㄆㄧㄥ2", + "ㄆㄥ1" + ], + "洵": [ + "ㄒㄩㄣ2", + "ㄒㄩㄢ4" + ], + "洶": [ + "ㄒㄩㄥ1" + ], + "洷": [ + "ㄓ4" + ], + "洸": [ + "ㄍㄨㄤ1", + "ㄏㄨㄤ4" + ], + "洹": [ + "ㄏㄨㄢ2" + ], + "洺": [ + "ㄇㄧㄥ2" + ], + "活": [ + "ㄏㄨㄛ2", + "ㄍㄨㄛ1" + ], + "洼": [ + "ㄨㄚ1", + "ㄍㄨㄟ1" + ], + "洽": [ + "ㄑㄧㄚ4", + "ㄏㄜ2" + ], + "派": [ + "ㄆㄞ4", + "ㄇㄞ4", + "ㄅㄞ4", + "ㄆㄚ1" + ], + "洿": [ + "ㄨ1", + "ㄏㄨ4" + ], + "浀": [ + "ㄑㄩ1" + ], + "流": [ + "ㄌㄧㄡ2" + ], + "浂": [ + "ㄧ4" + ], + "浃": [ + "ㄐㄧㄚ1" + ], + "浄": [ + "ㄐㄧㄥ4" + ], + "浅": [ + "ㄑㄧㄢ3", + "ㄐㄧㄢ1" + ], + "浆": [ + "ㄐㄧㄤ1", + "ㄐㄧㄤ4" + ], + "浇": [ + "ㄐㄧㄠ1" + ], + "浈": [ + "ㄓㄣ1" + ], + "浉": [ + "ㄕ1" + ], + "浊": [ + "ㄓㄨㄛ2" + ], + "测": [ + "ㄘㄜ4" + ], + "浌": [ + "ㄈㄚ2" + ], + "浍": [ + "ㄏㄨㄟ4", + "ㄎㄨㄞ4" + ], + "济": [ + "ㄐㄧ4", + "ㄐㄧ3" + ], + "浏": [ + "ㄌㄧㄡ2" + ], + "浐": [ + "ㄔㄢ3" + ], + "浑": [ + "ㄏㄨㄣ2" + ], + "浒": [ + "ㄏㄨ3", + "ㄒㄩ3" + ], + "浓": [ + "ㄋㄨㄥ2" + ], + "浔": [ + "ㄒㄩㄣ2" + ], + "浕": [ + "ㄐㄧㄣ4" + ], + "浖": [ + "ㄌㄧㄝ4" + ], + "浗": [ + "ㄑㄧㄡ2" + ], + "浘": [ + "ㄨㄟ3" + ], + "浙": [ + "ㄓㄜ4" + ], + "浚": [ + "ㄐㄩㄣ4", + "ㄒㄩㄣ4", + "ㄘㄨㄣ2" + ], + "浛": [ + "ㄏㄢ2", + "ㄏㄢ4", + "ㄍㄢ1" + ], + "浜": [ + "ㄅㄤ1", + "ㄅㄧㄣ1" + ], + "浝": [ + "ㄇㄤ2" + ], + "浞": [ + "ㄓㄨㄛ2" + ], + "浟": [ + "ㄧㄡ2", + "ㄉㄧ2" + ], + "浠": [ + "ㄒㄧ1" + ], + "浡": [ + "ㄅㄛ2" + ], + "浢": [ + "ㄉㄡ4" + ], + "浣": [ + "ㄏㄨㄢ4" + ], + "浤": [ + "ㄏㄨㄥ2" + ], + "浥": [ + "ㄧ4", + "ㄧㄚ4" + ], + "浦": [ + "ㄆㄨ3" + ], + "浧": [ + "ㄧㄥ3", + "ㄔㄥ2", + "ㄧㄥ2", + "ㄓㄥ4", + "ㄧㄥ4" + ], + "浨": [ + "ㄌㄢ3" + ], + "浩": [ + "ㄏㄠ4", + "ㄍㄠ3", + "ㄍㄜ2" + ], + "浪": [ + "ㄌㄤ4", + "ㄌㄤ2" + ], + "浫": [ + "ㄏㄢ3" + ], + "浬": [ + "ㄌㄧ3", + "ㄏㄞ3" + ], + "浭": [ + "ㄍㄥ1" + ], + "浮": [ + "ㄈㄨ2" + ], + "浯": [ + "ㄨ2" + ], + "浰": [ + "ㄌㄧㄢ4", + "ㄌㄧ4" + ], + "浱": [ + "ㄔㄨㄣ2" + ], + "浲": [ + "ㄈㄥ2", + "ㄏㄨㄥ2" + ], + "浳": [ + "ㄧ4" + ], + "浴": [ + "ㄩ4" + ], + "浵": [ + "ㄊㄨㄥ2" + ], + "浶": [ + "ㄌㄠ2" + ], + "海": [ + "ㄏㄞ3" + ], + "浸": [ + "ㄐㄧㄣ4", + "ㄑㄧㄣ1" + ], + "浹": [ + "ㄐㄧㄚ1", + "ㄒㄧㄚ2" + ], + "浺": [ + "ㄔㄨㄥ1" + ], + "浻": [ + "ㄐㄩㄥ3", + "ㄐㄩㄥ1" + ], + "浼": [ + "ㄇㄟ3" + ], + "浽": [ + "ㄙㄨㄟ1", + "ㄋㄟ3" + ], + "浾": [ + "ㄔㄥ1" + ], + "浿": [ + "ㄆㄟ4" + ], + "涀": [ + "ㄒㄧㄢ4", + "ㄐㄧㄢ3" + ], + "涁": [ + "ㄕㄣ4" + ], + "涂": [ + "ㄊㄨ2", + "ㄔㄨ2", + "ㄧㄝ2" + ], + "涃": [ + "ㄎㄨㄣ4" + ], + "涄": [ + "ㄆㄧㄥ1" + ], + "涅": [ + "ㄋㄧㄝ4" + ], + "涆": [ + "ㄏㄢ4" + ], + "涇": [ + "ㄐㄧㄥ1", + "ㄑㄧㄥ3" + ], + "消": [ + "ㄒㄧㄠ1" + ], + "涉": [ + "ㄕㄜ4", + "ㄉㄧㄝ2" + ], + "涊": [ + "ㄋㄧㄢ3", + "ㄖㄣ3" + ], + "涋": [ + "ㄊㄨ1" + ], + "涌": [ + "ㄩㄥ3", + "ㄔㄨㄥ1" + ], + "涍": [ + "ㄒㄧㄠ4" + ], + "涎": [ + "ㄒㄧㄢ2", + "ㄧㄢ4", + "ㄉㄧㄢ4" + ], + "涏": [ + "ㄊㄧㄥ3" + ], + "涐": [ + "ㄜ2" + ], + "涑": [ + "ㄙㄨ4", + "ㄙㄡ1", + "ㄕㄨ4" + ], + "涒": [ + "ㄊㄨㄣ1", + "ㄩㄣ1" + ], + "涓": [ + "ㄐㄩㄢ1", + "ㄩㄢ4", + "ㄒㄩㄢ4" + ], + "涔": [ + "ㄘㄣ2", + "ㄑㄧㄢ2", + "ㄗㄢ4" + ], + "涕": [ + "ㄊㄧ4" + ], + "涖": [ + "ㄌㄧ4" + ], + "涗": [ + "ㄕㄨㄟ4" + ], + "涘": [ + "ㄙ4" + ], + "涙": [ + "ㄌㄟ4" + ], + "涚": [ + "ㄕㄨㄟ4" + ], + "涛": [ + "ㄊㄠ1" + ], + "涜": [ + "ㄉㄨ2" + ], + "涝": [ + "ㄌㄠ4" + ], + "涞": [ + "ㄌㄞ2" + ], + "涟": [ + "ㄌㄧㄢ2" + ], + "涠": [ + "ㄨㄟ2" + ], + "涡": [ + "ㄨㄛ1", + "ㄍㄨㄛ1" + ], + "涢": [ + "ㄩㄣ2" + ], + "涣": [ + "ㄏㄨㄢ4", + "ㄏㄨㄟ4" + ], + "涤": [ + "ㄉㄧ2" + ], + "涥": [ + "ㄏㄥ1" + ], + "润": [ + "ㄖㄨㄣ4" + ], + "涧": [ + "ㄐㄧㄢ4" + ], + "涨": [ + "ㄓㄤ3", + "ㄓㄤ4" + ], + "涩": [ + "ㄙㄜ4" + ], + "涪": [ + "ㄈㄨ2", + "ㄆㄡ2" + ], + "涫": [ + "ㄍㄨㄢ4" + ], + "涬": [ + "ㄒㄧㄥ4" + ], + "涭": [ + "ㄕㄡ4", + "ㄊㄠ1" + ], + "涮": [ + "ㄕㄨㄢ4", + "ㄕㄨㄚ1" + ], + "涯": [ + "ㄧㄚ2" + ], + "涰": [ + "ㄔㄨㄛ4" + ], + "涱": [ + "ㄓㄤ4" + ], + "液": [ + "ㄧㄝ4", + "ㄕ4" + ], + "涳": [ + "ㄎㄨㄥ1", + "ㄋㄤ2" + ], + "涴": [ + "ㄨㄛ4", + "ㄩㄢ1", + "ㄨㄢ3" + ], + "涵": [ + "ㄏㄢ2", + "ㄏㄢ4" + ], + "涶": [ + "ㄊㄨㄛ1", + "ㄊㄨㄛ4" + ], + "涷": [ + "ㄉㄨㄥ1" + ], + "涸": [ + "ㄏㄜ2" + ], + "涹": [ + "ㄨㄛ1" + ], + "涺": [ + "ㄐㄩ1" + ], + "涻": [ + "ㄕㄜ4" + ], + "涼": [ + "ㄌㄧㄤ2", + "ㄌㄧㄤ4" + ], + "涽": [ + "ㄏㄨㄣ1", + "ㄏㄨㄣ4" + ], + "涾": [ + "ㄊㄚ4" + ], + "涿": [ + "ㄓㄨㄛ1", + "ㄓㄨㄛ2" + ], + "淀": [ + "ㄉㄧㄢ4" + ], + "淁": [ + "ㄑㄧㄝ4", + "ㄐㄧ2" + ], + "淂": [ + "ㄉㄜ2" + ], + "淃": [ + "ㄐㄩㄢ4" + ], + "淄": [ + "ㄗ1" + ], + "淅": [ + "ㄒㄧ1" + ], + "淆": [ + "ㄒㄧㄠ2" + ], + "淇": [ + "ㄑㄧ2" + ], + "淈": [ + "ㄍㄨ3", + "ㄏㄨ4" + ], + "淉": [ + "ㄍㄨㄛ3", + "ㄍㄨㄢ4" + ], + "淊": [ + "ㄧㄢ1", + "ㄏㄢ4", + "ㄧㄢ3", + "ㄏㄢ2" + ], + "淋": [ + "ㄌㄧㄣ2", + "ㄌㄧㄣ4" + ], + "淌": [ + "ㄊㄤ3", + "ㄔㄤ4", + "ㄔㄤ3" + ], + "淍": [ + "ㄓㄡ1", + "ㄉㄧㄠ1" + ], + "淎": [ + "ㄆㄥ3" + ], + "淏": [ + "ㄏㄠ4" + ], + "淐": [ + "ㄔㄤ1" + ], + "淑": [ + "ㄕㄨ1", + "ㄔㄨ4" + ], + "淒": [ + "ㄑㄧ1", + "ㄑㄧㄢ4" + ], + "淓": [ + "ㄈㄤ1" + ], + "淔": [ + "ㄓ2" + ], + "淕": [ + "ㄌㄨ4" + ], + "淖": [ + "ㄋㄠ4", + "ㄓㄠ4", + "ㄓㄨㄛ1", + "ㄔㄨㄛ4" + ], + "淗": [ + "ㄐㄩ2" + ], + "淘": [ + "ㄊㄠ2" + ], + "淙": [ + "ㄘㄨㄥ2", + "ㄕㄨㄤ4" + ], + "淚": [ + "ㄌㄟ4", + "ㄌㄧ4" + ], + "淛": [ + "ㄓㄜ4" + ], + "淜": [ + "ㄆㄧㄥ2", + "ㄆㄥ2" + ], + "淝": [ + "ㄈㄟ2" + ], + "淞": [ + "ㄙㄨㄥ1" + ], + "淟": [ + "ㄊㄧㄢ3" + ], + "淠": [ + "ㄆㄧ4", + "ㄆㄟ4" + ], + "淡": [ + "ㄉㄢ4", + "ㄧㄢ4", + "ㄊㄢ2" + ], + "淢": [ + "ㄩ4", + "ㄒㄩ4" + ], + "淣": [ + "ㄋㄧ2" + ], + "淤": [ + "ㄩ1" + ], + "淥": [ + "ㄌㄨ4" + ], + "淦": [ + "ㄍㄢ4", + "ㄏㄢ2" + ], + "淧": [ + "ㄇㄧ4" + ], + "淨": [ + "ㄐㄧㄥ4", + "ㄔㄥ2" + ], + "淩": [ + "ㄌㄧㄥ2" + ], + "淪": [ + "ㄌㄨㄣ2", + "ㄌㄨㄣ3", + "ㄍㄨㄢ1" + ], + "淫": [ + "ㄧㄣ2", + "ㄧㄢ4", + "ㄧㄠ2" + ], + "淬": [ + "ㄘㄨㄟ4", + "ㄗㄨ2" + ], + "淭": [ + "ㄑㄩ2" + ], + "淮": [ + "ㄏㄨㄞ2" + ], + "淯": [ + "ㄩ4" + ], + "淰": [ + "ㄋㄧㄢ3", + "ㄕㄣ3", + "ㄋㄚ4" + ], + "深": [ + "ㄕㄣ1" + ], + "淲": [ + "ㄅㄧㄠ1", + "ㄏㄨ1", + "ㄏㄨ3" + ], + "淳": [ + "ㄔㄨㄣ2", + "ㄓㄨㄣ1", + "ㄓㄨㄣ3" + ], + "淴": [ + "ㄏㄨ1" + ], + "淵": [ + "ㄩㄢ1" + ], + "淶": [ + "ㄌㄞ2" + ], + "混": [ + "ㄏㄨㄣ4", + "ㄍㄨㄣ3", + "ㄏㄨㄣ2", + "ㄎㄨㄣ1" + ], + "淸": [ + "ㄑㄧㄥ1" + ], + "淹": [ + "ㄧㄢ1", + "ㄧㄢ3" + ], + "淺": [ + "ㄑㄧㄢ3", + "ㄐㄧㄢ1", + "ㄐㄧㄢ4", + "ㄘㄢ2", + "ㄗㄢ4" + ], + "添": [ + "ㄊㄧㄢ1", + "ㄊㄧㄢ4" + ], + "淼": [ + "ㄇㄧㄠ3" + ], + "淽": [ + "ㄓ3" + ], + "淾": [ + "ㄧㄣ3" + ], + "淿": [ + "ㄅㄛ2" + ], + "渀": [ + "ㄅㄣ4", + "ㄅㄣ1" + ], + "渁": [ + "ㄩㄢ1" + ], + "渂": [ + "ㄨㄣ4", + "ㄇㄧㄣ2" + ], + "渃": [ + "ㄖㄨㄛ4", + "ㄖㄜ4" + ], + "渄": [ + "ㄈㄟ1" + ], + "清": [ + "ㄑㄧㄥ1", + "ㄑㄧㄥ4" + ], + "渆": [ + "ㄩㄢ1" + ], + "渇": [ + "ㄎㄜ3" + ], + "済": [ + "ㄐㄧ4" + ], + "渉": [ + "ㄕㄜ4" + ], + "渊": [ + "ㄩㄢ1" + ], + "渋": [ + "ㄙㄜ4" + ], + "渌": [ + "ㄌㄨ4" + ], + "渍": [ + "ㄗ4" + ], + "渎": [ + "ㄉㄨ2" + ], + "渏": [ + "ㄧ1" + ], + "渐": [ + "ㄐㄧㄢ4", + "ㄐㄧㄢ1" + ], + "渑": [ + "ㄇㄧㄢ3", + "ㄕㄥ2" + ], + "渒": [ + "ㄆㄞ4" + ], + "渓": [ + "ㄒㄧ1" + ], + "渔": [ + "ㄩ2" + ], + "渕": [ + "ㄩㄢ1" + ], + "渖": [ + "ㄕㄣ3" + ], + "渗": [ + "ㄕㄣ4" + ], + "渘": [ + "ㄖㄡ2" + ], + "渙": [ + "ㄏㄨㄢ4" + ], + "渚": [ + "ㄓㄨ3" + ], + "減": [ + "ㄐㄧㄢ3" + ], + "渜": [ + "ㄋㄨㄢ3", + "ㄋㄨㄢ2" + ], + "渝": [ + "ㄩ2", + "ㄩ1" + ], + "渞": [ + "ㄑㄧㄡ2", + "ㄨ4" + ], + "渟": [ + "ㄊㄧㄥ2", + "ㄊㄧㄥ1" + ], + "渠": [ + "ㄑㄩ2", + "ㄐㄩ4" + ], + "渡": [ + "ㄉㄨ4" + ], + "渢": [ + "ㄈㄢ2", + "ㄈㄥ2" + ], + "渣": [ + "ㄓㄚ1" + ], + "渤": [ + "ㄅㄛ2" + ], + "渥": [ + "ㄨㄛ4", + "ㄡ4", + "ㄨ1" + ], + "渦": [ + "ㄨㄛ1", + "ㄍㄨㄛ1" + ], + "渧": [ + "ㄉㄧ4", + "ㄊㄧ2", + "ㄉㄧ1" + ], + "渨": [ + "ㄨㄟ1" + ], + "温": [ + "ㄨㄣ1", + "ㄩㄣ4" + ], + "渪": [ + "ㄖㄨ2" + ], + "渫": [ + "ㄒㄧㄝ4", + "ㄉㄧㄝ2", + "ㄓㄚ2", + "ㄧ4", + "ㄑㄧㄝ4" + ], + "測": [ + "ㄘㄜ4" + ], + "渭": [ + "ㄨㄟ4" + ], + "渮": [ + "ㄏㄜ2" + ], + "港": [ + "ㄍㄤ3", + "ㄏㄨㄥ4" + ], + "渰": [ + "ㄧㄢ3" + ], + "渱": [ + "ㄏㄨㄥ2", + "ㄍㄨㄥ4" + ], + "渲": [ + "ㄒㄩㄢ4" + ], + "渳": [ + "ㄇㄧ3" + ], + "渴": [ + "ㄎㄜ3", + "ㄐㄧㄝ2", + "ㄎㄞ4", + "ㄏㄜ2" + ], + "渵": [ + "ㄇㄠ2" + ], + "渶": [ + "ㄧㄥ1" + ], + "渷": [ + "ㄧㄢ3" + ], + "游": [ + "ㄧㄡ2", + "ㄌㄧㄡ2" + ], + "渹": [ + "ㄏㄨㄥ1", + "ㄑㄧㄥ4" + ], + "渺": [ + "ㄇㄧㄠ3" + ], + "渻": [ + "ㄕㄥ3" + ], + "渼": [ + "ㄇㄟ3" + ], + "渽": [ + "ㄗㄞ1" + ], + "渾": [ + "ㄏㄨㄣ2", + "ㄏㄨㄣ4", + "ㄍㄨㄣ3" + ], + "渿": [ + "ㄋㄞ4" + ], + "湀": [ + "ㄍㄨㄟ3" + ], + "湁": [ + "ㄔ4" + ], + "湂": [ + "ㄜ4" + ], + "湃": [ + "ㄆㄞ4", + "ㄅㄚ2" + ], + "湄": [ + "ㄇㄟ2" + ], + "湅": [ + "ㄌㄧㄢ4", + "ㄌㄢ4" + ], + "湆": [ + "ㄑㄧ4" + ], + "湇": [ + "ㄑㄧ4" + ], + "湈": [ + "ㄇㄟ2" + ], + "湉": [ + "ㄊㄧㄢ2" + ], + "湊": [ + "ㄘㄡ4" + ], + "湋": [ + "ㄨㄟ2" + ], + "湌": [ + "ㄘㄢ1" + ], + "湍": [ + "ㄊㄨㄢ1", + "ㄓㄨㄢ1" + ], + "湎": [ + "ㄇㄧㄢ3" + ], + "湏": [ + "ㄏㄨㄟ4", + "ㄇㄧㄣ3" + ], + "湐": [ + "ㄇㄛ4" + ], + "湑": [ + "ㄒㄩ1", + "ㄒㄩ4", + "ㄒㄩ3" + ], + "湒": [ + "ㄐㄧ2" + ], + "湓": [ + "ㄆㄣ2", + "ㄆㄣ4" + ], + "湔": [ + "ㄐㄧㄢ1", + "ㄗㄢ4", + "ㄓㄢ3", + "ㄑㄧㄢ2", + "ㄐㄧㄢ4" + ], + "湕": [ + "ㄐㄧㄢ3" + ], + "湖": [ + "ㄏㄨ2" + ], + "湗": [ + "ㄈㄥ4" + ], + "湘": [ + "ㄒㄧㄤ1" + ], + "湙": [ + "ㄧ4" + ], + "湚": [ + "ㄧㄣ4" + ], + "湛": [ + "ㄓㄢ4", + "ㄔㄣ2", + "ㄉㄢ1", + "ㄊㄢ2", + "ㄐㄧㄣ4", + "ㄧㄣ3", + "ㄔㄣ3", + "ㄧㄣ2", + "ㄕㄣ4" + ], + "湜": [ + "ㄕ2" + ], + "湝": [ + "ㄐㄧㄝ1", + "ㄒㄧㄝ2" + ], + "湞": [ + "ㄓㄣ1", + "ㄔㄥ1" + ], + "湟": [ + "ㄏㄨㄤ2", + "ㄎㄨㄤ4" + ], + "湠": [ + "ㄊㄢ4" + ], + "湡": [ + "ㄩ2" + ], + "湢": [ + "ㄅㄧ4" + ], + "湣": [ + "ㄇㄧㄣ3", + "ㄏㄨㄣ1", + "ㄇㄧㄢ4" + ], + "湤": [ + "ㄕ1" + ], + "湥": [ + "ㄊㄨ1" + ], + "湦": [ + "ㄕㄥ1" + ], + "湧": [ + "ㄩㄥ3" + ], + "湨": [ + "ㄐㄩ2" + ], + "湩": [ + "ㄉㄨㄥ4", + "ㄉㄨㄥ3", + "ㄊㄨㄥ2" + ], + "湪": [ + "ㄊㄨㄢ4", + "ㄋㄨㄢ3" + ], + "湫": [ + "ㄐㄧㄠ3", + "ㄑㄧㄡ1", + "ㄐㄧㄡ4", + "ㄐㄧㄡ1", + "ㄐㄧㄠ1" + ], + "湬": [ + "ㄐㄧㄠ3" + ], + "湭": [ + "ㄑㄧㄡ2" + ], + "湮": [ + "ㄧㄢ1", + "ㄧㄣ1" + ], + "湯": [ + "ㄊㄤ1", + "ㄊㄤ4", + "ㄕㄤ1", + "ㄧㄤ2" + ], + "湰": [ + "ㄌㄨㄥ2" + ], + "湱": [ + "ㄏㄨㄛ4" + ], + "湲": [ + "ㄩㄢ2" + ], + "湳": [ + "ㄋㄢ3" + ], + "湴": [ + "ㄅㄢ4", + "ㄆㄢ2" + ], + "湵": [ + "ㄧㄡ3" + ], + "湶": [ + "ㄑㄩㄢ2" + ], + "湷": [ + "ㄓㄨㄤ1", + "ㄏㄨㄣ2" + ], + "湸": [ + "ㄌㄧㄤ4" + ], + "湹": [ + "ㄔㄢ2" + ], + "湺": [ + "ㄒㄧㄢ2" + ], + "湻": [ + "ㄔㄨㄣ2" + ], + "湼": [ + "ㄋㄧㄝ4" + ], + "湽": [ + "ㄗ1" + ], + "湾": [ + "ㄨㄢ1" + ], + "湿": [ + "ㄕ1" + ], + "満": [ + "ㄇㄢ3" + ], + "溁": [ + "ㄧㄥ2" + ], + "溂": [ + "ㄌㄚ4" + ], + "溃": [ + "ㄎㄨㄟ4", + "ㄏㄨㄟ4" + ], + "溄": [ + "ㄈㄥ2" + ], + "溅": [ + "ㄐㄧㄢ4", + "ㄐㄧㄢ1" + ], + "溆": [ + "ㄒㄩ4" + ], + "溇": [ + "ㄌㄡ2" + ], + "溈": [ + "ㄨㄟ2" + ], + "溉": [ + "ㄍㄞ4", + "ㄒㄧㄝ4" + ], + "溊": [ + "ㄅㄛ1" + ], + "溋": [ + "ㄧㄥ2" + ], + "溌": [ + "ㄆㄛ1" + ], + "溍": [ + "ㄐㄧㄣ4" + ], + "溎": [ + "ㄧㄢ4", + "ㄍㄨㄟ4" + ], + "溏": [ + "ㄊㄤ2" + ], + "源": [ + "ㄩㄢ2" + ], + "溑": [ + "ㄙㄨㄛ3" + ], + "溒": [ + "ㄩㄢ2" + ], + "溓": [ + "ㄌㄧㄢ2", + "ㄌㄧㄢ3", + "ㄒㄧㄢ2", + "ㄒㄧㄢ4", + "ㄋㄧㄢ2", + "ㄌㄧㄣ2" + ], + "溔": [ + "ㄧㄠ3" + ], + "溕": [ + "ㄇㄥ2" + ], + "準": [ + "ㄓㄨㄣ3", + "ㄓㄨㄛ2" + ], + "溗": [ + "ㄔㄥ2" + ], + "溘": [ + "ㄎㄜ4", + "ㄎㄞ4" + ], + "溙": [ + "ㄊㄞ4" + ], + "溚": [ + "ㄊㄚ3", + "ㄉㄚ2" + ], + "溛": [ + "ㄨㄚ1" + ], + "溜": [ + "ㄌㄧㄡ1", + "ㄌㄧㄡ4", + "ㄌㄧㄡ2" + ], + "溝": [ + "ㄍㄡ1", + "ㄍㄤ3", + "ㄎㄡ4" + ], + "溞": [ + "ㄙㄠ1" + ], + "溟": [ + "ㄇㄧㄥ2", + "ㄇㄧㄥ3", + "ㄇㄧ4" + ], + "溠": [ + "ㄓㄚ4", + "ㄓㄚ1" + ], + "溡": [ + "ㄕ2" + ], + "溢": [ + "ㄧ4" + ], + "溣": [ + "ㄌㄨㄣ4" + ], + "溤": [ + "ㄇㄚ3" + ], + "溥": [ + "ㄆㄨ3", + "ㄈㄨ1", + "ㄅㄨ4", + "ㄅㄛ2", + "ㄆㄛ4" + ], + "溦": [ + "ㄨㄟ1", + "ㄇㄟ2" + ], + "溧": [ + "ㄌㄧ4" + ], + "溨": [ + "ㄗㄞ1" + ], + "溩": [ + "ㄨ4" + ], + "溪": [ + "ㄒㄧ1", + "ㄑㄧ1" + ], + "溫": [ + "ㄨㄣ1" + ], + "溬": [ + "ㄑㄧㄤ1" + ], + "溭": [ + "ㄗㄜ2" + ], + "溮": [ + "ㄕ1" + ], + "溯": [ + "ㄙㄨ4", + "ㄕㄨㄛ4" + ], + "溰": [ + "ㄞ2" + ], + "溱": [ + "ㄑㄧㄣ2", + "ㄓㄣ1" + ], + "溲": [ + "ㄙㄡ1", + "ㄙㄡ3", + "ㄕㄠ1" + ], + "溳": [ + "ㄩㄣ2", + "ㄩㄣ3" + ], + "溴": [ + "ㄒㄧㄡ4", + "ㄔㄡ4" + ], + "溵": [ + "ㄧㄣ1" + ], + "溶": [ + "ㄖㄨㄥ2" + ], + "溷": [ + "ㄏㄨㄣ4", + "ㄏㄨㄣ2" + ], + "溸": [ + "ㄙㄨ4" + ], + "溹": [ + "ㄙㄨㄛ4", + "ㄙㄨㄛ3", + "ㄙㄜ4" + ], + "溺": [ + "ㄋㄧ4", + "ㄖㄨㄛ4", + "ㄋㄧㄠ4" + ], + "溻": [ + "ㄊㄚ1" + ], + "溼": [ + "ㄕ1" + ], + "溽": [ + "ㄖㄨ4", + "ㄖㄨ2" + ], + "溾": [ + "ㄞ1" + ], + "溿": [ + "ㄆㄢ4" + ], + "滀": [ + "ㄔㄨ4", + "ㄒㄩ4" + ], + "滁": [ + "ㄔㄨ2" + ], + "滂": [ + "ㄆㄤ1", + "ㄆㄥ1" + ], + "滃": [ + "ㄨㄥ1", + "ㄨㄥ3" + ], + "滄": [ + "ㄘㄤ1" + ], + "滅": [ + "ㄇㄧㄝ4" + ], + "滆": [ + "ㄍㄜ2" + ], + "滇": [ + "ㄉㄧㄢ1", + "ㄊㄧㄢ2", + "ㄓㄣ1" + ], + "滈": [ + "ㄏㄠ4", + "ㄒㄩㄝ4" + ], + "滉": [ + "ㄏㄨㄤ4" + ], + "滊": [ + "ㄒㄧ4", + "ㄒㄧㄝ1", + "ㄑㄧ4" + ], + "滋": [ + "ㄗ1", + "ㄘ2", + "ㄒㄩㄢ2" + ], + "滌": [ + "ㄉㄧ2" + ], + "滍": [ + "ㄓ4" + ], + "滎": [ + "ㄒㄧㄥ2", + "ㄧㄥ1", + "ㄧㄥ2" + ], + "滏": [ + "ㄈㄨ3" + ], + "滐": [ + "ㄐㄧㄝ2" + ], + "滑": [ + "ㄏㄨㄚ2", + "ㄍㄨ3" + ], + "滒": [ + "ㄍㄜ1" + ], + "滓": [ + "ㄗ3" + ], + "滔": [ + "ㄊㄠ1" + ], + "滕": [ + "ㄊㄥ2" + ], + "滖": [ + "ㄙㄨㄟ1" + ], + "滗": [ + "ㄅㄧ4" + ], + "滘": [ + "ㄐㄧㄠ4" + ], + "滙": [ + "ㄏㄨㄟ4" + ], + "滚": [ + "ㄍㄨㄣ3" + ], + "滛": [ + "ㄧㄣ2" + ], + "滜": [ + "ㄍㄠ1" + ], + "滝": [ + "ㄌㄨㄥ2" + ], + "滞": [ + "ㄓ4" + ], + "滟": [ + "ㄧㄢ4" + ], + "滠": [ + "ㄕㄜ4" + ], + "满": [ + "ㄇㄢ3" + ], + "滢": [ + "ㄧㄥ2" + ], + "滣": [ + "ㄔㄨㄣ2" + ], + "滤": [ + "ㄌㄩ4" + ], + "滥": [ + "ㄌㄢ4" + ], + "滦": [ + "ㄌㄨㄢ2" + ], + "滧": [ + "ㄧㄠ2", + "ㄒㄧㄠ4" + ], + "滨": [ + "ㄅㄧㄣ1" + ], + "滩": [ + "ㄊㄢ1" + ], + "滪": [ + "ㄩ4" + ], + "滫": [ + "ㄒㄧㄡ3" + ], + "滬": [ + "ㄏㄨ4" + ], + "滭": [ + "ㄅㄧ4" + ], + "滮": [ + "ㄅㄧㄠ1" + ], + "滯": [ + "ㄓ4", + "ㄔ4" + ], + "滰": [ + "ㄐㄧㄤ4" + ], + "滱": [ + "ㄎㄡ4" + ], + "滲": [ + "ㄕㄣ4", + "ㄙㄣ1", + "ㄑㄧㄣ1", + "ㄌㄧㄣ2" + ], + "滳": [ + "ㄕㄤ1" + ], + "滴": [ + "ㄉㄧ1" + ], + "滵": [ + "ㄇㄧ4" + ], + "滶": [ + "ㄠ2" + ], + "滷": [ + "ㄌㄨ3" + ], + "滸": [ + "ㄏㄨ3", + "ㄒㄩ3" + ], + "滹": [ + "ㄏㄨ1", + "ㄏㄨ3" + ], + "滺": [ + "ㄧㄡ1" + ], + "滻": [ + "ㄔㄢ3" + ], + "滼": [ + "ㄈㄢ4" + ], + "滽": [ + "ㄩㄥ1" + ], + "滾": [ + "ㄍㄨㄣ3" + ], + "滿": [ + "ㄇㄢ3", + "ㄇㄣ4" + ], + "漀": [ + "ㄑㄧㄥ3", + "ㄑㄧㄥ1" + ], + "漁": [ + "ㄩ2" + ], + "漂": [ + "ㄆㄧㄠ1", + "ㄆㄧㄠ4", + "ㄆㄧㄠ3", + "ㄅㄧㄠ1" + ], + "漃": [ + "ㄐㄧ4" + ], + "漄": [ + "ㄧㄚ2" + ], + "漅": [ + "ㄔㄠ2" + ], + "漆": [ + "ㄑㄧ1", + "ㄑㄧㄝ4" + ], + "漇": [ + "ㄒㄧ3" + ], + "漈": [ + "ㄐㄧ4" + ], + "漉": [ + "ㄌㄨ4" + ], + "漊": [ + "ㄌㄡ2", + "ㄌㄩ3", + "ㄌㄡ3" + ], + "漋": [ + "ㄌㄨㄥ2" + ], + "漌": [ + "ㄐㄧㄣ3" + ], + "漍": [ + "ㄍㄨㄛ2" + ], + "漎": [ + "ㄘㄨㄥ2", + "ㄙㄨㄥ3" + ], + "漏": [ + "ㄌㄡ4", + "ㄌㄡ2" + ], + "漐": [ + "ㄓ2" + ], + "漑": [ + "ㄍㄞ4" + ], + "漒": [ + "ㄑㄧㄤ2" + ], + "漓": [ + "ㄌㄧ2" + ], + "演": [ + "ㄧㄢ3", + "ㄧㄢ4" + ], + "漕": [ + "ㄘㄠ2", + "ㄘㄠ4" + ], + "漖": [ + "ㄐㄧㄠ4" + ], + "漗": [ + "ㄘㄨㄥ1" + ], + "漘": [ + "ㄔㄨㄣ2" + ], + "漙": [ + "ㄊㄨㄢ2", + "ㄓㄨㄢ1" + ], + "漚": [ + "ㄡ1", + "ㄡ4" + ], + "漛": [ + "ㄊㄥ2" + ], + "漜": [ + "ㄧㄝ3" + ], + "漝": [ + "ㄒㄧ2" + ], + "漞": [ + "ㄇㄧ4" + ], + "漟": [ + "ㄊㄤ2" + ], + "漠": [ + "ㄇㄛ4" + ], + "漡": [ + "ㄕㄤ1", + "ㄊㄤ4" + ], + "漢": [ + "ㄏㄢ4", + "ㄊㄢ1" + ], + "漣": [ + "ㄌㄧㄢ2", + "ㄌㄢ2" + ], + "漤": [ + "ㄌㄢ3" + ], + "漥": [ + "ㄨㄚ1" + ], + "漦": [ + "ㄔ2", + "ㄊㄞ1" + ], + "漧": [ + "ㄍㄢ1" + ], + "漨": [ + "ㄈㄥ2", + "ㄆㄥ2", + "ㄅㄥ3" + ], + "漩": [ + "ㄒㄩㄢ2" + ], + "漪": [ + "ㄧ1" + ], + "漫": [ + "ㄇㄢ4" + ], + "漬": [ + "ㄗ4", + "ㄙㄜ4", + "ㄑㄧ4" + ], + "漭": [ + "ㄇㄤ3" + ], + "漮": [ + "ㄎㄤ1" + ], + "漯": [ + "ㄌㄨㄛ4", + "ㄊㄚ4", + "ㄌㄟ3" + ], + "漰": [ + "ㄆㄥ1" + ], + "漱": [ + "ㄕㄨ4" + ], + "漲": [ + "ㄓㄤ3", + "ㄓㄤ4", + "ㄓㄤ1" + ], + "漳": [ + "ㄓㄤ1" + ], + "漴": [ + "ㄓㄨㄤ4", + "ㄔㄨㄥ2", + "ㄕㄨㄤ1", + "ㄔㄨㄤ2" + ], + "漵": [ + "ㄒㄩ4" + ], + "漶": [ + "ㄏㄨㄢ4" + ], + "漷": [ + "ㄏㄨㄛ3", + "ㄎㄨㄛ4", + "ㄏㄨㄛ4" + ], + "漸": [ + "ㄐㄧㄢ4", + "ㄐㄧㄢ1", + "ㄑㄧㄢ2", + "ㄔㄢ2" + ], + "漹": [ + "ㄧㄢ1" + ], + "漺": [ + "ㄕㄨㄤ3", + "ㄔㄨㄤ3" + ], + "漻": [ + "ㄌㄧㄠ2", + "ㄒㄧㄠ4", + "ㄌㄧㄡ2" + ], + "漼": [ + "ㄘㄨㄟ3", + "ㄘㄨㄟ1" + ], + "漽": [ + "ㄊㄧ2" + ], + "漾": [ + "ㄧㄤ4" + ], + "漿": [ + "ㄐㄧㄤ1", + "ㄐㄧㄤ4" + ], + "潀": [ + "ㄘㄨㄥ2" + ], + "潁": [ + "ㄧㄥ3" + ], + "潂": [ + "ㄏㄨㄥ2" + ], + "潃": [ + "ㄒㄧㄡ3" + ], + "潄": [ + "ㄕㄨ4" + ], + "潅": [ + "ㄍㄨㄢ4" + ], + "潆": [ + "ㄧㄥ2" + ], + "潇": [ + "ㄒㄧㄠ1" + ], + "潈": [ + "ㄗㄨㄥ5" + ], + "潉": [ + "ㄎㄨㄣ1" + ], + "潊": [ + "ㄒㄩ4" + ], + "潋": [ + "ㄌㄧㄢ4" + ], + "潌": [ + "ㄓ4" + ], + "潍": [ + "ㄨㄟ2" + ], + "潎": [ + "ㄆㄧ4", + "ㄆㄧㄝ1", + "ㄆㄧㄠ4" + ], + "潏": [ + "ㄩ4", + "ㄐㄩㄝ2", + "ㄕㄨ4" + ], + "潐": [ + "ㄐㄧㄠ4", + "ㄐㄧㄠ3", + "ㄑㄧㄠ2" + ], + "潑": [ + "ㄆㄛ1", + "ㄅㄛ1" + ], + "潒": [ + "ㄉㄤ4", + "ㄒㄧㄤ4", + "ㄧㄤ3" + ], + "潓": [ + "ㄏㄨㄟ4" + ], + "潔": [ + "ㄐㄧㄝ2" + ], + "潕": [ + "ㄨ3" + ], + "潖": [ + "ㄆㄚ2" + ], + "潗": [ + "ㄐㄧ2" + ], + "潘": [ + "ㄆㄢ1", + "ㄆㄢ4", + "ㄅㄛ1", + "ㄆㄢ2", + "ㄈㄢ1" + ], + "潙": [ + "ㄨㄟ2", + "ㄍㄨㄟ1" + ], + "潚": [ + "ㄙㄨ4", + "ㄒㄧㄠ1", + "ㄙㄡ1" + ], + "潛": [ + "ㄑㄧㄢ2" + ], + "潜": [ + "ㄑㄧㄢ2" + ], + "潝": [ + "ㄒㄧ1", + "ㄧㄚ4" + ], + "潞": [ + "ㄌㄨ4" + ], + "潟": [ + "ㄒㄧ4" + ], + "潠": [ + "ㄒㄩㄣ4", + "ㄙㄨㄣ4" + ], + "潡": [ + "ㄉㄨㄣ4" + ], + "潢": [ + "ㄏㄨㄤ2", + "ㄏㄨㄤ4", + "ㄍㄨㄤ1" + ], + "潣": [ + "ㄇㄧㄣ3" + ], + "潤": [ + "ㄖㄨㄣ4" + ], + "潥": [ + "ㄙㄨ4" + ], + "潦": [ + "ㄌㄠ3", + "ㄌㄧㄠ2", + "ㄌㄠ4", + "ㄌㄠ2", + "ㄌㄧㄠ3" + ], + "潧": [ + "ㄓㄣ1" + ], + "潨": [ + "ㄘㄨㄥ2", + "ㄗㄨㄥ1" + ], + "潩": [ + "ㄧ4" + ], + "潪": [ + "ㄓㄜ4", + "ㄓ4" + ], + "潫": [ + "ㄨㄢ1" + ], + "潬": [ + "ㄕㄢ4", + "ㄊㄢ1" + ], + "潭": [ + "ㄊㄢ2", + "ㄒㄩㄣ2", + "ㄧㄣ3", + "ㄉㄢ4" + ], + "潮": [ + "ㄔㄠ2" + ], + "潯": [ + "ㄒㄩㄣ2", + "ㄧㄣ2" + ], + "潰": [ + "ㄎㄨㄟ4", + "ㄒㄧㄝ4" + ], + "潱": [ + "ㄧㄝ1" + ], + "潲": [ + "ㄕㄠ4" + ], + "潳": [ + "ㄊㄨ2", + "ㄓㄚ1" + ], + "潴": [ + "ㄓㄨ1" + ], + "潵": [ + "ㄙㄚ3", + "ㄙㄢ4" + ], + "潶": [ + "ㄏㄟ1" + ], + "潷": [ + "ㄅㄧ4" + ], + "潸": [ + "ㄕㄢ1" + ], + "潹": [ + "ㄔㄢ2" + ], + "潺": [ + "ㄔㄢ2" + ], + "潻": [ + "ㄕㄨ3" + ], + "潼": [ + "ㄊㄨㄥ2", + "ㄔㄨㄥ1", + "ㄓㄨㄥ1" + ], + "潽": [ + "ㄆㄨ1", + "ㄆㄨ3" + ], + "潾": [ + "ㄌㄧㄣ2" + ], + "潿": [ + "ㄨㄟ2" + ], + "澀": [ + "ㄙㄜ4" + ], + "澁": [ + "ㄙㄜ4" + ], + "澂": [ + "ㄔㄥ2" + ], + "澃": [ + "ㄐㄩㄥ3" + ], + "澄": [ + "ㄔㄥ2", + "ㄉㄥ4" + ], + "澅": [ + "ㄏㄨㄚ4" + ], + "澆": [ + "ㄐㄧㄠ1", + "ㄠ4", + "ㄋㄠ4" + ], + "澇": [ + "ㄌㄠ4", + "ㄌㄠ2" + ], + "澈": [ + "ㄔㄜ4" + ], + "澉": [ + "ㄍㄢ3", + "ㄏㄢ4" + ], + "澊": [ + "ㄘㄨㄣ1", + "ㄘㄨㄣ2" + ], + "澋": [ + "ㄏㄨㄥ4" + ], + "澌": [ + "ㄙ1" + ], + "澍": [ + "ㄕㄨ4", + "ㄓㄨ4" + ], + "澎": [ + "ㄆㄥ1", + "ㄆㄥ2" + ], + "澏": [ + "ㄏㄢ2" + ], + "澐": [ + "ㄩㄣ2" + ], + "澑": [ + "ㄌㄧㄡ4" + ], + "澒": [ + "ㄏㄨㄥ4" + ], + "澓": [ + "ㄈㄨ2" + ], + "澔": [ + "ㄏㄠ4" + ], + "澕": [ + "ㄏㄜ2" + ], + "澖": [ + "ㄒㄧㄢ2" + ], + "澗": [ + "ㄐㄧㄢ4" + ], + "澘": [ + "ㄕㄢ1" + ], + "澙": [ + "ㄒㄧ4" + ], + "澚": [ + "ㄩ5" + ], + "澛": [ + "ㄌㄨ3" + ], + "澜": [ + "ㄌㄢ2" + ], + "澝": [ + "ㄋㄧㄥ4" + ], + "澞": [ + "ㄩ2" + ], + "澟": [ + "ㄌㄧㄣ3" + ], + "澠": [ + "ㄇㄧㄢ3", + "ㄕㄥ2" + ], + "澡": [ + "ㄗㄠ3", + "ㄘㄠ1" + ], + "澢": [ + "ㄉㄤ1" + ], + "澣": [ + "ㄏㄨㄢ4", + "ㄏㄢ4" + ], + "澤": [ + "ㄗㄜ2", + "ㄕ4", + "ㄧ4", + "ㄉㄨㄛ2" + ], + "澥": [ + "ㄒㄧㄝ4" + ], + "澦": [ + "ㄩ4" + ], + "澧": [ + "ㄌㄧ3" + ], + "澨": [ + "ㄕ4", + "ㄘㄨㄛ2" + ], + "澩": [ + "ㄒㄩㄝ2", + "ㄒㄧㄠ4" + ], + "澪": [ + "ㄌㄧㄥ2" + ], + "澫": [ + "ㄨㄢ4", + "ㄇㄢ4", + "ㄡ3" + ], + "澬": [ + "ㄗ1", + "ㄘ2" + ], + "澭": [ + "ㄩㄥ1", + "ㄩㄥ3" + ], + "澮": [ + "ㄏㄨㄟ4", + "ㄎㄨㄞ4", + "ㄏㄨㄚ2" + ], + "澯": [ + "ㄘㄢ4" + ], + "澰": [ + "ㄌㄧㄢ4" + ], + "澱": [ + "ㄉㄧㄢ4" + ], + "澲": [ + "ㄧㄝ4" + ], + "澳": [ + "ㄠ4", + "ㄩ4" + ], + "澴": [ + "ㄏㄨㄢ2", + "ㄒㄩㄢ4" + ], + "澵": [ + "ㄓㄣ1" + ], + "澶": [ + "ㄔㄢ2", + "ㄉㄢ4", + "ㄓㄢ1" + ], + "澷": [ + "ㄇㄢ4" + ], + "澸": [ + "ㄉㄢ3" + ], + "澹": [ + "ㄉㄢ4", + "ㄊㄢ2", + "ㄉㄢ1", + "ㄕㄢ4" + ], + "澺": [ + "ㄧ4" + ], + "澻": [ + "ㄙㄨㄟ4" + ], + "澼": [ + "ㄆㄧ4" + ], + "澽": [ + "ㄐㄩ4" + ], + "澾": [ + "ㄊㄚ4" + ], + "澿": [ + "ㄑㄧㄣ2" + ], + "激": [ + "ㄐㄧ1", + "ㄐㄧㄠ4", + "ㄐㄧㄠ1" + ], + "濁": [ + "ㄓㄨㄛ2" + ], + "濂": [ + "ㄌㄧㄢ2", + "ㄒㄧㄢ3" + ], + "濃": [ + "ㄋㄨㄥ2" + ], + "濄": [ + "ㄍㄨㄛ1", + "ㄨㄛ1" + ], + "濅": [ + "ㄐㄧㄣ4" + ], + "濆": [ + "ㄈㄣ2", + "ㄆㄣ1" + ], + "濇": [ + "ㄙㄜ4" + ], + "濈": [ + "ㄐㄧ2", + "ㄕㄚ4" + ], + "濉": [ + "ㄙㄨㄟ1" + ], + "濊": [ + "ㄏㄨㄟ4", + "ㄨㄟ4", + "ㄏㄨㄛ4" + ], + "濋": [ + "ㄔㄨ3" + ], + "濌": [ + "ㄊㄚ4" + ], + "濍": [ + "ㄙㄨㄥ1" + ], + "濎": [ + "ㄉㄧㄥ3", + "ㄊㄧㄥ4" + ], + "濏": [ + "ㄙㄜ4" + ], + "濐": [ + "ㄓㄨ3" + ], + "濑": [ + "ㄌㄞ4" + ], + "濒": [ + "ㄅㄧㄣ1" + ], + "濓": [ + "ㄌㄧㄢ2" + ], + "濔": [ + "ㄇㄧ3", + "ㄇㄧ2", + "ㄋㄧ3" + ], + "濕": [ + "ㄕ1", + "ㄊㄚ4", + "ㄒㄧ2" + ], + "濖": [ + "ㄕㄨ4" + ], + "濗": [ + "ㄇㄧ4" + ], + "濘": [ + "ㄋㄧㄥ4", + "ㄋㄧㄥ2", + "ㄋㄧ4" + ], + "濙": [ + "ㄧㄥ2" + ], + "濚": [ + "ㄧㄥ2" + ], + "濛": [ + "ㄇㄥ2" + ], + "濜": [ + "ㄐㄧㄣ4", + "ㄐㄧㄣ1" + ], + "濝": [ + "ㄑㄧ2" + ], + "濞": [ + "ㄅㄧ4", + "ㄆㄧ4" + ], + "濟": [ + "ㄐㄧ4", + "ㄐㄧ3", + "ㄑㄧ2" + ], + "濠": [ + "ㄏㄠ2" + ], + "濡": [ + "ㄖㄨ2", + "ㄖㄨㄢ3", + "ㄦ2", + "ㄋㄨㄢ2", + "ㄋㄨㄛ4" + ], + "濢": [ + "ㄘㄨㄟ4", + "ㄗㄨㄟ3" + ], + "濣": [ + "ㄨㄛ4" + ], + "濤": [ + "ㄊㄠ1", + "ㄔㄠ2", + "ㄕㄡ4", + "ㄉㄠ4" + ], + "濥": [ + "ㄧㄣ3" + ], + "濦": [ + "ㄧㄣ3" + ], + "濧": [ + "ㄉㄨㄟ4" + ], + "濨": [ + "ㄘ2" + ], + "濩": [ + "ㄏㄨㄛ4", + "ㄏㄨ4" + ], + "濪": [ + "ㄑㄧㄥ4" + ], + "濫": [ + "ㄌㄢ4", + "ㄐㄧㄢ4", + "ㄌㄢ3", + "ㄌㄢ2" + ], + "濬": [ + "ㄐㄩㄣ4", + "ㄒㄩㄣ4" + ], + "濭": [ + "ㄞ3", + "ㄎㄞ4", + "ㄎㄜ4" + ], + "濮": [ + "ㄆㄨ2" + ], + "濯": [ + "ㄓㄨㄛ2", + "ㄕㄨㄛ4", + "ㄓㄠ4" + ], + "濰": [ + "ㄨㄟ2" + ], + "濱": [ + "ㄅㄧㄣ1" + ], + "濲": [ + "ㄍㄨ3" + ], + "濳": [ + "ㄑㄧㄢ2" + ], + "濴": [ + "ㄧㄥ2" + ], + "濵": [ + "ㄅㄧㄣ1" + ], + "濶": [ + "ㄎㄨㄛ4" + ], + "濷": [ + "ㄈㄟ4" + ], + "濸": [ + "ㄘㄤ1" + ], + "濹": [ + "ㄇㄜ5" + ], + "濺": [ + "ㄐㄧㄢ4", + "ㄐㄧㄢ1", + "ㄗㄢ4" + ], + "濻": [ + "ㄨㄟ3" + ], + "濼": [ + "ㄌㄨㄛ4", + "ㄆㄛ1", + "ㄌㄧ4" + ], + "濽": [ + "ㄗㄢ4" + ], + "濾": [ + "ㄌㄩ4" + ], + "濿": [ + "ㄌㄧ4" + ], + "瀀": [ + "ㄧㄡ1" + ], + "瀁": [ + "ㄧㄤ4", + "ㄧㄤ3" + ], + "瀂": [ + "ㄌㄨ3" + ], + "瀃": [ + "ㄙ4" + ], + "瀄": [ + "ㄓ4" + ], + "瀅": [ + "ㄧㄥ2", + "ㄧㄥ4", + "ㄐㄩㄥ1" + ], + "瀆": [ + "ㄉㄨ2", + "ㄉㄡ4" + ], + "瀇": [ + "ㄨㄤ3", + "ㄨㄤ1" + ], + "瀈": [ + "ㄏㄨㄟ1" + ], + "瀉": [ + "ㄒㄧㄝ4" + ], + "瀊": [ + "ㄆㄢ2" + ], + "瀋": [ + "ㄕㄣ3", + "ㄔㄣ4", + "ㄆㄢ2" + ], + "瀌": [ + "ㄅㄧㄠ1" + ], + "瀍": [ + "ㄔㄢ2" + ], + "瀎": [ + "ㄇㄛ4", + "ㄇㄧㄝ4" + ], + "瀏": [ + "ㄌㄧㄡ2", + "ㄌㄧㄡ1" + ], + "瀐": [ + "ㄐㄧㄢ1" + ], + "瀑": [ + "ㄆㄨ4", + "ㄅㄠ4", + "ㄅㄛ2" + ], + "瀒": [ + "ㄙㄜ4" + ], + "瀓": [ + "ㄔㄥ2" + ], + "瀔": [ + "ㄍㄨ3" + ], + "瀕": [ + "ㄅㄧㄣ1" + ], + "瀖": [ + "ㄏㄨㄛ4" + ], + "瀗": [ + "ㄒㄧㄢ4" + ], + "瀘": [ + "ㄌㄨ2" + ], + "瀙": [ + "ㄑㄧㄣ4" + ], + "瀚": [ + "ㄏㄢ4" + ], + "瀛": [ + "ㄧㄥ2" + ], + "瀜": [ + "ㄖㄨㄥ2" + ], + "瀝": [ + "ㄌㄧ4" + ], + "瀞": [ + "ㄐㄧㄥ4" + ], + "瀟": [ + "ㄒㄧㄠ1" + ], + "瀠": [ + "ㄧㄥ2" + ], + "瀡": [ + "ㄙㄨㄟ3" + ], + "瀢": [ + "ㄨㄟ3", + "ㄉㄨㄟ4" + ], + "瀣": [ + "ㄒㄧㄝ4" + ], + "瀤": [ + "ㄏㄨㄞ2", + "ㄨㄞ1" + ], + "瀥": [ + "ㄒㄩㄝ4" + ], + "瀦": [ + "ㄓㄨ1" + ], + "瀧": [ + "ㄌㄨㄥ2", + "ㄕㄨㄤ1" + ], + "瀨": [ + "ㄌㄞ4" + ], + "瀩": [ + "ㄉㄨㄟ4" + ], + "瀪": [ + "ㄈㄢ2" + ], + "瀫": [ + "ㄏㄨ2" + ], + "瀬": [ + "ㄌㄞ4" + ], + "瀭": [ + "ㄕㄨ1" + ], + "瀮": [ + "ㄌㄧㄥ5" + ], + "瀯": [ + "ㄧㄥ2" + ], + "瀰": [ + "ㄇㄧ2", + "ㄇㄧ3", + "ㄋㄧ3" + ], + "瀱": [ + "ㄐㄧ4" + ], + "瀲": [ + "ㄌㄧㄢ4" + ], + "瀳": [ + "ㄐㄧㄢ4", + "ㄗㄨㄣ4" + ], + "瀴": [ + "ㄧㄥ2", + "ㄧㄥ3", + "ㄧㄥ4" + ], + "瀵": [ + "ㄈㄣ4" + ], + "瀶": [ + "ㄌㄧㄣ2" + ], + "瀷": [ + "ㄧ4" + ], + "瀸": [ + "ㄐㄧㄢ1" + ], + "瀹": [ + "ㄩㄝ4", + "ㄧㄠ4" + ], + "瀺": [ + "ㄔㄢ2" + ], + "瀻": [ + "ㄉㄞ4" + ], + "瀼": [ + "ㄖㄤ2", + "ㄖㄤ4", + "ㄋㄤ3" + ], + "瀽": [ + "ㄐㄧㄢ3" + ], + "瀾": [ + "ㄌㄢ2" + ], + "瀿": [ + "ㄈㄢ2" + ], + "灀": [ + "ㄕㄨㄤ4" + ], + "灁": [ + "ㄩㄢ1" + ], + "灂": [ + "ㄓㄨㄛ2", + "ㄗㄜ2", + "ㄐㄧㄠ4" + ], + "灃": [ + "ㄈㄥ1" + ], + "灄": [ + "ㄕㄜ4", + "ㄋㄧ4" + ], + "灅": [ + "ㄌㄟ3" + ], + "灆": [ + "ㄌㄢ2" + ], + "灇": [ + "ㄘㄨㄥ2" + ], + "灈": [ + "ㄑㄩ2" + ], + "灉": [ + "ㄩㄥ1" + ], + "灊": [ + "ㄑㄧㄢ2" + ], + "灋": [ + "ㄈㄚ3" + ], + "灌": [ + "ㄍㄨㄢ4", + "ㄏㄨㄢ4" + ], + "灍": [ + "ㄐㄩㄝ2" + ], + "灎": [ + "ㄧㄢ4" + ], + "灏": [ + "ㄏㄠ4" + ], + "灐": [ + "ㄧㄥ2" + ], + "灑": [ + "ㄙㄚ3", + "ㄒㄧㄢ3", + "ㄒㄧ3", + "ㄌㄧ2", + "ㄕ1" + ], + "灒": [ + "ㄗㄢ4", + "ㄘㄨㄢ2", + "ㄑㄧㄢ2", + "ㄗㄚ1" + ], + "灓": [ + "ㄌㄨㄢ2", + "ㄌㄨㄢ4" + ], + "灔": [ + "ㄧㄢ4" + ], + "灕": [ + "ㄌㄧ2" + ], + "灖": [ + "ㄇㄧ3" + ], + "灗": [ + "ㄕㄢ4" + ], + "灘": [ + "ㄊㄢ1", + "ㄏㄢ4", + "ㄋㄢ4" + ], + "灙": [ + "ㄉㄤ3" + ], + "灚": [ + "ㄐㄧㄠ3" + ], + "灛": [ + "ㄔㄢ3" + ], + "灜": [ + "ㄧㄥ2" + ], + "灝": [ + "ㄏㄠ4" + ], + "灞": [ + "ㄅㄚ4" + ], + "灟": [ + "ㄓㄨ2" + ], + "灠": [ + "ㄌㄢ3", + "ㄌㄢ4" + ], + "灡": [ + "ㄌㄢ2" + ], + "灢": [ + "ㄋㄤ3" + ], + "灣": [ + "ㄨㄢ1" + ], + "灤": [ + "ㄌㄨㄢ2" + ], + "灥": [ + "ㄒㄩㄣ2", + "ㄑㄩㄢ2", + "ㄑㄩㄢ4" + ], + "灦": [ + "ㄒㄧㄢ3" + ], + "灧": [ + "ㄧㄢ4" + ], + "灨": [ + "ㄍㄢ4" + ], + "灩": [ + "ㄧㄢ4" + ], + "灪": [ + "ㄩ4" + ], + "火": [ + "ㄏㄨㄛ3", + "ㄏㄨㄛ1" + ], + "灬": [ + "ㄅㄧㄠ1", + "ㄏㄨㄛ3" + ], + "灭": [ + "ㄇㄧㄝ4" + ], + "灮": [ + "ㄍㄨㄤ1" + ], + "灯": [ + "ㄉㄥ1", + "ㄉㄧㄥ1" + ], + "灰": [ + "ㄏㄨㄟ1" + ], + "灱": [ + "ㄒㄧㄠ1" + ], + "灲": [ + "ㄒㄧㄠ1" + ], + "灳": [ + "ㄏㄨㄟ1" + ], + "灴": [ + "ㄏㄨㄥ1" + ], + "灵": [ + "ㄌㄧㄥ2" + ], + "灶": [ + "ㄗㄠ4" + ], + "灷": [ + "ㄓㄨㄢ4" + ], + "灸": [ + "ㄐㄧㄡ3" + ], + "灹": [ + "ㄓㄚ4", + "ㄩ4" + ], + "灺": [ + "ㄒㄧㄝ4" + ], + "灻": [ + "ㄔ4" + ], + "灼": [ + "ㄓㄨㄛ2" + ], + "災": [ + "ㄗㄞ1" + ], + "灾": [ + "ㄗㄞ1" + ], + "灿": [ + "ㄘㄢ4" + ], + "炀": [ + "ㄧㄤ2" + ], + "炁": [ + "ㄑㄧ4" + ], + "炂": [ + "ㄓㄨㄥ1" + ], + "炃": [ + "ㄈㄣ2", + "ㄅㄣ4" + ], + "炄": [ + "ㄋㄧㄡ3" + ], + "炅": [ + "ㄐㄩㄥ3", + "ㄍㄨㄟ4" + ], + "炆": [ + "ㄨㄣ2" + ], + "炇": [ + "ㄆㄨ1" + ], + "炈": [ + "ㄧ4" + ], + "炉": [ + "ㄌㄨ2" + ], + "炊": [ + "ㄔㄨㄟ1" + ], + "炋": [ + "ㄆㄧ1" + ], + "炌": [ + "ㄎㄞ4" + ], + "炍": [ + "ㄆㄢ4" + ], + "炎": [ + "ㄧㄢ2", + "ㄧㄢ4", + "ㄊㄢ2" + ], + "炏": [ + "ㄎㄞ4", + "ㄧㄢ2" + ], + "炐": [ + "ㄆㄤ4", + "ㄈㄥ1" + ], + "炑": [ + "ㄇㄨ4" + ], + "炒": [ + "ㄔㄠ3" + ], + "炓": [ + "ㄌㄧㄠ4" + ], + "炔": [ + "ㄍㄨㄟ4", + "ㄑㄩㄝ1", + "ㄒㄩㄝ4" + ], + "炕": [ + "ㄎㄤ4", + "ㄏㄤ1" + ], + "炖": [ + "ㄉㄨㄣ4", + "ㄊㄨㄣ2" + ], + "炗": [ + "ㄍㄨㄤ1" + ], + "炘": [ + "ㄒㄧㄣ1" + ], + "炙": [ + "ㄓ4" + ], + "炚": [ + "ㄍㄨㄤ1" + ], + "炛": [ + "ㄍㄨㄤ1" + ], + "炜": [ + "ㄨㄟ3" + ], + "炝": [ + "ㄑㄧㄤ4" + ], + "炞": [ + "ㄅㄧㄢ5" + ], + "炟": [ + "ㄉㄚ2" + ], + "炠": [ + "ㄒㄧㄚ2" + ], + "炡": [ + "ㄓㄥ1" + ], + "炢": [ + "ㄓㄨ2" + ], + "炣": [ + "ㄎㄜ3" + ], + "炤": [ + "ㄓㄠ4", + "ㄓㄠ1", + "ㄓㄠ3" + ], + "炥": [ + "ㄈㄨ2" + ], + "炦": [ + "ㄅㄚ2" + ], + "炧": [ + "ㄒㄧㄝ4" + ], + "炨": [ + "ㄒㄧㄝ4" + ], + "炩": [ + "ㄌㄧㄥ4" + ], + "炪": [ + "ㄓㄨㄛ1", + "ㄔㄨ4" + ], + "炫": [ + "ㄒㄩㄢ4" + ], + "炬": [ + "ㄐㄩ4" + ], + "炭": [ + "ㄊㄢ4" + ], + "炮": [ + "ㄆㄠ4", + "ㄅㄠ1", + "ㄆㄠ2" + ], + "炯": [ + "ㄐㄩㄥ3" + ], + "炰": [ + "ㄆㄠ2", + "ㄈㄡ3" + ], + "炱": [ + "ㄊㄞ2" + ], + "炲": [ + "ㄊㄞ2" + ], + "炳": [ + "ㄅㄧㄥ3" + ], + "炴": [ + "ㄧㄤ3" + ], + "炵": [ + "ㄊㄨㄥ1" + ], + "炶": [ + "ㄕㄢ3" + ], + "炷": [ + "ㄓㄨ4" + ], + "炸": [ + "ㄓㄚ4", + "ㄓㄚ2" + ], + "点": [ + "ㄉㄧㄢ3" + ], + "為": [ + "ㄨㄟ4", + "ㄨㄟ2" + ], + "炻": [ + "ㄕ2" + ], + "炼": [ + "ㄌㄧㄢ4" + ], + "炽": [ + "ㄔ4" + ], + "炾": [ + "ㄏㄨㄤ3" + ], + "炿": [ + "ㄓㄡ1" + ], + "烀": [ + "ㄏㄨ1" + ], + "烁": [ + "ㄕㄨㄛ4" + ], + "烂": [ + "ㄌㄢ4" + ], + "烃": [ + "ㄊㄧㄥ1" + ], + "烄": [ + "ㄐㄧㄠ3", + "ㄧㄠ4" + ], + "烅": [ + "ㄒㄩ4" + ], + "烆": [ + "ㄏㄥ2" + ], + "烇": [ + "ㄑㄩㄢ3" + ], + "烈": [ + "ㄌㄧㄝ4" + ], + "烉": [ + "ㄏㄨㄢ4" + ], + "烊": [ + "ㄧㄤ2", + "ㄧㄤ4" + ], + "烋": [ + "ㄒㄧㄡ1", + "ㄒㄧㄠ1" + ], + "烌": [ + "ㄒㄧㄡ1" + ], + "烍": [ + "ㄒㄧㄢ3" + ], + "烎": [ + "ㄧㄣ2" + ], + "烏": [ + "ㄨ1", + "ㄧㄚ1", + "ㄨ4" + ], + "烐": [ + "ㄓㄡ1" + ], + "烑": [ + "ㄧㄠ2" + ], + "烒": [ + "ㄕ4" + ], + "烓": [ + "ㄨㄟ1" + ], + "烔": [ + "ㄊㄨㄥ2", + "ㄉㄨㄥ4" + ], + "烕": [ + "ㄇㄧㄝ4" + ], + "烖": [ + "ㄗㄞ1" + ], + "烗": [ + "ㄎㄞ4" + ], + "烘": [ + "ㄏㄨㄥ1" + ], + "烙": [ + "ㄌㄠ4", + "ㄌㄨㄛ4" + ], + "烚": [ + "ㄒㄧㄚ2" + ], + "烛": [ + "ㄓㄨ2", + "ㄔㄨㄥ2" + ], + "烜": [ + "ㄒㄩㄢ3", + "ㄒㄩㄢ1", + "ㄏㄨㄟ3" + ], + "烝": [ + "ㄓㄥ1" + ], + "烞": [ + "ㄆㄛ4" + ], + "烟": [ + "ㄧㄢ1", + "ㄧㄣ1" + ], + "烠": [ + "ㄏㄨㄟ2", + "ㄏㄨㄟ3", + "ㄞ3" + ], + "烡": [ + "ㄍㄨㄤ1" + ], + "烢": [ + "ㄔㄜ4" + ], + "烣": [ + "ㄏㄨㄟ1" + ], + "烤": [ + "ㄎㄠ3" + ], + "烥": [ + "ㄐㄩ4" + ], + "烦": [ + "ㄈㄢ2" + ], + "烧": [ + "ㄕㄠ1" + ], + "烨": [ + "ㄧㄝ4" + ], + "烩": [ + "ㄏㄨㄟ4" + ], + "烫": [ + "ㄊㄤ4" + ], + "烬": [ + "ㄐㄧㄣ4" + ], + "热": [ + "ㄖㄜ4" + ], + "烮": [ + "ㄌㄧㄝ4" + ], + "烯": [ + "ㄒㄧ1" + ], + "烰": [ + "ㄈㄨ2", + "ㄈㄨ1" + ], + "烱": [ + "ㄐㄩㄥ3" + ], + "烲": [ + "ㄒㄧㄝ4", + "ㄔㄜ4" + ], + "烳": [ + "ㄆㄨ3" + ], + "烴": [ + "ㄊㄧㄥ1", + "ㄐㄧㄥ3" + ], + "烵": [ + "ㄓㄨㄛ2" + ], + "烶": [ + "ㄊㄧㄥ3" + ], + "烷": [ + "ㄨㄢ2" + ], + "烸": [ + "ㄏㄞ3" + ], + "烹": [ + "ㄆㄥ1" + ], + "烺": [ + "ㄌㄤ3" + ], + "烻": [ + "ㄧㄢ4", + "ㄕㄢ1" + ], + "烼": [ + "ㄒㄩ4" + ], + "烽": [ + "ㄈㄥ1" + ], + "烾": [ + "ㄔ4" + ], + "烿": [ + "ㄖㄨㄥ2" + ], + "焀": [ + "ㄏㄨ2" + ], + "焁": [ + "ㄒㄧ1" + ], + "焂": [ + "ㄕㄨ1" + ], + "焃": [ + "ㄏㄜ4", + "ㄏㄨㄛ4" + ], + "焄": [ + "ㄒㄩㄣ1", + "ㄏㄨㄣ1" + ], + "焅": [ + "ㄎㄨ4", + "ㄎㄠ4" + ], + "焆": [ + "ㄐㄩㄢ1", + "ㄧㄝ4", + "ㄩㄝ4", + "ㄩㄢ1" + ], + "焇": [ + "ㄒㄧㄠ1" + ], + "焈": [ + "ㄒㄧ1" + ], + "焉": [ + "ㄧㄢ1", + "ㄧ2" + ], + "焊": [ + "ㄏㄢ4" + ], + "焋": [ + "ㄓㄨㄤ4" + ], + "焌": [ + "ㄐㄩㄣ4", + "ㄑㄩ1" + ], + "焍": [ + "ㄉㄧ4" + ], + "焎": [ + "ㄒㄧㄝ4" + ], + "焏": [ + "ㄐㄧ2", + "ㄑㄧ4" + ], + "焐": [ + "ㄨ4" + ], + "焑": [ + "ㄧㄢ1" + ], + "焒": [ + "ㄌㄩ3" + ], + "焓": [ + "ㄏㄢ2" + ], + "焔": [ + "ㄧㄢ4" + ], + "焕": [ + "ㄏㄨㄢ4" + ], + "焖": [ + "ㄇㄣ4" + ], + "焗": [ + "ㄐㄩ2" + ], + "焘": [ + "ㄉㄠ4", + "ㄊㄠ1" + ], + "焙": [ + "ㄅㄟ4" + ], + "焚": [ + "ㄈㄣ2", + "ㄈㄣ4" + ], + "焛": [ + "ㄌㄧㄣ4" + ], + "焜": [ + "ㄎㄨㄣ1" + ], + "焝": [ + "ㄏㄨㄣ4" + ], + "焞": [ + "ㄊㄨㄣ1", + "ㄊㄨㄟ1", + "ㄐㄩㄣ4" + ], + "焟": [ + "ㄒㄧ1" + ], + "焠": [ + "ㄘㄨㄟ4" + ], + "無": [ + "ㄨ2", + "ㄇㄛ2" + ], + "焢": [ + "ㄏㄨㄥ1" + ], + "焣": [ + "ㄔㄠ3", + "ㄐㄩ4" + ], + "焤": [ + "ㄈㄨ3" + ], + "焥": [ + "ㄨㄛ4", + "ㄞ4" + ], + "焦": [ + "ㄐㄧㄠ1", + "ㄑㄧㄠ2" + ], + "焧": [ + "ㄘㄨㄥ1" + ], + "焨": [ + "ㄈㄥ4" + ], + "焩": [ + "ㄆㄧㄥ2" + ], + "焪": [ + "ㄑㄩㄥ2" + ], + "焫": [ + "ㄖㄨㄛ4", + "ㄖㄜ4" + ], + "焬": [ + "ㄒㄧ1", + "ㄧ4" + ], + "焭": [ + "ㄑㄩㄥ2" + ], + "焮": [ + "ㄒㄧㄣ4" + ], + "焯": [ + "ㄔㄠ1", + "ㄓㄨㄛ1", + "ㄓㄨㄛ2", + "ㄔㄨㄛ4" + ], + "焰": [ + "ㄧㄢ4" + ], + "焱": [ + "ㄧㄢ4", + "ㄧ4" + ], + "焲": [ + "ㄧ4" + ], + "焳": [ + "ㄐㄩㄝ2" + ], + "焴": [ + "ㄩ4" + ], + "焵": [ + "ㄍㄤ4" + ], + "然": [ + "ㄖㄢ2" + ], + "焷": [ + "ㄆㄧ2" + ], + "焸": [ + "ㄒㄩㄥ4", + "ㄧㄥ1", + "ㄍㄨ3" + ], + "焹": [ + "ㄍㄤ4" + ], + "焺": [ + "ㄕㄥ1" + ], + "焻": [ + "ㄔㄤ4", + "ㄍㄨㄚ1" + ], + "焼": [ + "ㄕㄠ1" + ], + "焽": [ + "ㄒㄩㄥ3" + ], + "焾": [ + "ㄋㄧㄢ3" + ], + "焿": [ + "ㄍㄥ1" + ], + "煀": [ + "ㄨㄟ5" + ], + "煁": [ + "ㄔㄣ2" + ], + "煂": [ + "ㄏㄜ4" + ], + "煃": [ + "ㄎㄨㄟ3" + ], + "煄": [ + "ㄓㄨㄥ3" + ], + "煅": [ + "ㄉㄨㄢ4" + ], + "煆": [ + "ㄒㄧㄚ1", + "ㄒㄧㄚ4" + ], + "煇": [ + "ㄏㄨㄟ1", + "ㄏㄨㄣ2", + "ㄩㄣ4", + "ㄒㄩㄣ1", + "ㄒㄩㄢ4" + ], + "煈": [ + "ㄈㄥ4" + ], + "煉": [ + "ㄌㄧㄢ4", + "ㄌㄢ4" + ], + "煊": [ + "ㄒㄩㄢ1" + ], + "煋": [ + "ㄒㄧㄥ1" + ], + "煌": [ + "ㄏㄨㄤ2" + ], + "煍": [ + "ㄐㄧㄠ3" + ], + "煎": [ + "ㄐㄧㄢ1", + "ㄐㄧㄢ4", + "ㄐㄧㄢ3" + ], + "煏": [ + "ㄅㄧ4" + ], + "煐": [ + "ㄧㄥ1" + ], + "煑": [ + "ㄓㄨ3" + ], + "煒": [ + "ㄨㄟ3", + "ㄏㄨㄟ1" + ], + "煓": [ + "ㄊㄨㄢ1" + ], + "煔": [ + "ㄕㄢ3", + "ㄑㄧㄢ2", + "ㄕㄢ1" + ], + "煕": [ + "ㄒㄧ1" + ], + "煖": [ + "ㄋㄨㄢ3", + "ㄒㄩㄢ1" + ], + "煗": [ + "ㄋㄨㄢ3" + ], + "煘": [ + "ㄔㄢ2" + ], + "煙": [ + "ㄧㄢ1" + ], + "煚": [ + "ㄐㄩㄥ3" + ], + "煛": [ + "ㄐㄩㄥ3" + ], + "煜": [ + "ㄩ4" + ], + "煝": [ + "ㄇㄟ4" + ], + "煞": [ + "ㄕㄚ1", + "ㄕㄚ4" + ], + "煟": [ + "ㄨㄟ4" + ], + "煠": [ + "ㄓㄚ2", + "ㄧㄝ4" + ], + "煡": [ + "ㄐㄧㄣ4" + ], + "煢": [ + "ㄑㄩㄥ2" + ], + "煣": [ + "ㄖㄡ2", + "ㄖㄡ3" + ], + "煤": [ + "ㄇㄟ2" + ], + "煥": [ + "ㄏㄨㄢ4" + ], + "煦": [ + "ㄒㄩ4", + "ㄒㄧㄡ1" + ], + "照": [ + "ㄓㄠ4" + ], + "煨": [ + "ㄨㄟ1", + "ㄩ4" + ], + "煩": [ + "ㄈㄢ2" + ], + "煪": [ + "ㄑㄧㄡ2" + ], + "煫": [ + "ㄙㄨㄟ4" + ], + "煬": [ + "ㄧㄤ2", + "ㄧㄤ4" + ], + "煭": [ + "ㄌㄧㄝ4" + ], + "煮": [ + "ㄓㄨ3" + ], + "煯": [ + "ㄐㄧㄝ1" + ], + "煰": [ + "ㄗㄠ4" + ], + "煱": [ + "ㄍㄨㄚ1" + ], + "煲": [ + "ㄅㄠ1" + ], + "煳": [ + "ㄏㄨ2" + ], + "煴": [ + "ㄩㄣ1", + "ㄩㄣ4", + "ㄨㄣ3" + ], + "煵": [ + "ㄋㄢ3" + ], + "煶": [ + "ㄕ4" + ], + "煷": [ + "ㄌㄧㄤ5" + ], + "煸": [ + "ㄅㄧㄢ1" + ], + "煹": [ + "ㄍㄡ4" + ], + "煺": [ + "ㄊㄨㄟ4" + ], + "煻": [ + "ㄊㄤ2" + ], + "煼": [ + "ㄔㄠ3" + ], + "煽": [ + "ㄕㄢ1" + ], + "煾": [ + "ㄣ1", + "ㄩㄣ1" + ], + "煿": [ + "ㄅㄛ2" + ], + "熀": [ + "ㄏㄨㄤ3", + "ㄧㄝ4" + ], + "熁": [ + "ㄒㄧㄝ2" + ], + "熂": [ + "ㄒㄧ4" + ], + "熃": [ + "ㄨ4" + ], + "熄": [ + "ㄒㄧ1" + ], + "熅": [ + "ㄩㄣ4" + ], + "熆": [ + "ㄏㄜ2" + ], + "熇": [ + "ㄏㄜ4", + "ㄒㄧㄠ1", + "ㄎㄠ3", + "ㄎㄠ4" + ], + "熈": [ + "ㄒㄧ1" + ], + "熉": [ + "ㄩㄣ2" + ], + "熊": [ + "ㄒㄩㄥ2" + ], + "熋": [ + "ㄋㄞ2" + ], + "熌": [ + "ㄕㄢ3" + ], + "熍": [ + "ㄑㄩㄥ2" + ], + "熎": [ + "ㄧㄠ4" + ], + "熏": [ + "ㄒㄩㄣ1", + "ㄒㄩㄣ4" + ], + "熐": [ + "ㄇㄧ4" + ], + "熑": [ + "ㄌㄧㄢ2", + "ㄑㄧㄢ1" + ], + "熒": [ + "ㄧㄥ2", + "ㄒㄧㄥ2", + "ㄐㄩㄥ3" + ], + "熓": [ + "ㄨ3" + ], + "熔": [ + "ㄖㄨㄥ2" + ], + "熕": [ + "ㄍㄨㄥ1" + ], + "熖": [ + "ㄧㄢ4" + ], + "熗": [ + "ㄑㄧㄤ4" + ], + "熘": [ + "ㄌㄧㄡ1" + ], + "熙": [ + "ㄒㄧ1", + "ㄧ2" + ], + "熚": [ + "ㄅㄧ4" + ], + "熛": [ + "ㄅㄧㄠ1" + ], + "熜": [ + "ㄘㄨㄥ1", + "ㄗㄨㄥ3" + ], + "熝": [ + "ㄌㄨ4", + "ㄠ1" + ], + "熞": [ + "ㄐㄧㄢ1" + ], + "熟": [ + "ㄕㄨ2", + "ㄕㄡ2" + ], + "熠": [ + "ㄧ4" + ], + "熡": [ + "ㄌㄡ2" + ], + "熢": [ + "ㄆㄥ2", + "ㄅㄥ4", + "ㄈㄥ1" + ], + "熣": [ + "ㄙㄨㄟ1", + "ㄘㄨㄟ3" + ], + "熤": [ + "ㄧ4" + ], + "熥": [ + "ㄊㄥ1", + "ㄊㄨㄥ1" + ], + "熦": [ + "ㄐㄩㄝ2" + ], + "熧": [ + "ㄗㄨㄥ1" + ], + "熨": [ + "ㄩㄣ4", + "ㄩ4", + "ㄨㄟ4" + ], + "熩": [ + "ㄏㄨ4" + ], + "熪": [ + "ㄧ2" + ], + "熫": [ + "ㄓ4" + ], + "熬": [ + "ㄠ2", + "ㄠ1" + ], + "熭": [ + "ㄨㄟ4" + ], + "熮": [ + "ㄌㄧㄡ3" + ], + "熯": [ + "ㄏㄢ4", + "ㄖㄢ3" + ], + "熰": [ + "ㄡ1", + "ㄡ4" + ], + "熱": [ + "ㄖㄜ4" + ], + "熲": [ + "ㄐㄩㄥ3" + ], + "熳": [ + "ㄇㄢ4" + ], + "熴": [ + "ㄎㄨㄣ1" + ], + "熵": [ + "ㄕㄤ1" + ], + "熶": [ + "ㄘㄨㄢ4" + ], + "熷": [ + "ㄗㄥ1" + ], + "熸": [ + "ㄐㄧㄢ1" + ], + "熹": [ + "ㄒㄧ1" + ], + "熺": [ + "ㄒㄧ1" + ], + "熻": [ + "ㄒㄧ1" + ], + "熼": [ + "ㄧ4" + ], + "熽": [ + "ㄒㄧㄠ4" + ], + "熾": [ + "ㄔ4" + ], + "熿": [ + "ㄏㄨㄤ2", + "ㄏㄨㄤ3" + ], + "燀": [ + "ㄔㄢ3", + "ㄉㄢ3", + "ㄔㄢ4" + ], + "燁": [ + "ㄧㄝ4" + ], + "燂": [ + "ㄊㄢ2", + "ㄒㄩㄣ2", + "ㄑㄧㄢ2" + ], + "燃": [ + "ㄖㄢ2" + ], + "燄": [ + "ㄧㄢ4" + ], + "燅": [ + "ㄒㄩㄣ2" + ], + "燆": [ + "ㄑㄧㄠ1", + "ㄒㄧㄠ1" + ], + "燇": [ + "ㄐㄩㄣ4" + ], + "燈": [ + "ㄉㄥ1" + ], + "燉": [ + "ㄉㄨㄣ4", + "ㄊㄨㄣ2", + "ㄉㄨㄣ1" + ], + "燊": [ + "ㄕㄣ1" + ], + "燋": [ + "ㄐㄧㄠ1", + "ㄑㄧㄠ2", + "ㄐㄩㄝ2", + "ㄓㄨㄛ2" + ], + "燌": [ + "ㄈㄣ2", + "ㄅㄣ4" + ], + "燍": [ + "ㄙ1", + "ㄒㄧ1" + ], + "燎": [ + "ㄌㄧㄠ2", + "ㄌㄧㄠ3", + "ㄌㄧㄠ4" + ], + "燏": [ + "ㄩ4" + ], + "燐": [ + "ㄌㄧㄣ2" + ], + "燑": [ + "ㄊㄨㄥ2" + ], + "燒": [ + "ㄕㄠ1", + "ㄕㄠ4" + ], + "燓": [ + "ㄈㄣ2" + ], + "燔": [ + "ㄈㄢ2", + "ㄈㄣ2" + ], + "燕": [ + "ㄧㄢ4", + "ㄧㄢ1" + ], + "燖": [ + "ㄒㄩㄣ2", + "ㄑㄧㄢ2" + ], + "燗": [ + "ㄌㄢ4" + ], + "燘": [ + "ㄇㄟ3" + ], + "燙": [ + "ㄊㄤ4", + "ㄉㄤ4" + ], + "燚": [ + "ㄧ4" + ], + "燛": [ + "ㄐㄩㄥ3" + ], + "燜": [ + "ㄇㄣ4" + ], + "燝": [ + "ㄐㄧㄥ5" + ], + "燞": [ + "ㄐㄧㄠ3" + ], + "營": [ + "ㄧㄥ2", + "ㄘㄨㄛ1" + ], + "燠": [ + "ㄩ4", + "ㄠ4" + ], + "燡": [ + "ㄧ4" + ], + "燢": [ + "ㄒㄩㄝ2" + ], + "燣": [ + "ㄌㄢ2" + ], + "燤": [ + "ㄊㄞ4", + "ㄌㄧㄝ4" + ], + "燥": [ + "ㄗㄠ4", + "ㄙㄠ4" + ], + "燦": [ + "ㄘㄢ4" + ], + "燧": [ + "ㄙㄨㄟ4" + ], + "燨": [ + "ㄒㄧ1" + ], + "燩": [ + "ㄑㄩㄝ4" + ], + "燪": [ + "ㄗㄨㄥ3" + ], + "燫": [ + "ㄌㄧㄢ2" + ], + "燬": [ + "ㄏㄨㄟ3" + ], + "燭": [ + "ㄓㄨ2", + "ㄎㄨㄛ4" + ], + "燮": [ + "ㄒㄧㄝ4" + ], + "燯": [ + "ㄌㄧㄥ2" + ], + "燰": [ + "ㄨㄟ1" + ], + "燱": [ + "ㄧ4" + ], + "燲": [ + "ㄒㄧㄝ2" + ], + "燳": [ + "ㄓㄠ4" + ], + "燴": [ + "ㄏㄨㄟ4" + ], + "燵": [ + "ㄉㄚ2" + ], + "燶": [ + "ㄋㄨㄥ2" + ], + "燷": [ + "ㄌㄢ2" + ], + "燸": [ + "ㄖㄨ2", + "ㄖㄨㄢ3" + ], + "燹": [ + "ㄒㄧㄢ3", + "ㄅㄧㄥ4" + ], + "燺": [ + "ㄏㄜ4" + ], + "燻": [ + "ㄒㄩㄣ1" + ], + "燼": [ + "ㄐㄧㄣ4" + ], + "燽": [ + "ㄔㄡ2" + ], + "燾": [ + "ㄉㄠ4", + "ㄊㄠ1" + ], + "燿": [ + "ㄧㄠ4", + "ㄕㄨㄛ4", + "ㄕㄠ4" + ], + "爀": [ + "ㄏㄜ4" + ], + "爁": [ + "ㄌㄢ4" + ], + "爂": [ + "ㄅㄧㄠ1" + ], + "爃": [ + "ㄖㄨㄥ2" + ], + "爄": [ + "ㄌㄧ4", + "ㄌㄧㄝ4" + ], + "爅": [ + "ㄇㄛ4" + ], + "爆": [ + "ㄅㄠ4", + "ㄅㄛ2" + ], + "爇": [ + "ㄖㄨㄛ4" + ], + "爈": [ + "ㄌㄩ4" + ], + "爉": [ + "ㄌㄚ4", + "ㄌㄧㄝ4" + ], + "爊": [ + "ㄠ1" + ], + "爋": [ + "ㄒㄩㄣ1" + ], + "爌": [ + "ㄎㄨㄤ4", + "ㄏㄨㄤ3", + "ㄎㄨㄤ3" + ], + "爍": [ + "ㄕㄨㄛ4", + "ㄌㄨㄛ4", + "ㄩㄝ4" + ], + "爎": [ + "ㄌㄧㄠ2" + ], + "爏": [ + "ㄌㄧ4" + ], + "爐": [ + "ㄌㄨ2" + ], + "爑": [ + "ㄐㄩㄝ2" + ], + "爒": [ + "ㄌㄧㄠ3" + ], + "爓": [ + "ㄧㄢ4", + "ㄒㄩㄣ2" + ], + "爔": [ + "ㄒㄧ1" + ], + "爕": [ + "ㄒㄧㄝ4" + ], + "爖": [ + "ㄌㄨㄥ2" + ], + "爗": [ + "ㄧㄝ4" + ], + "爘": [ + "ㄘㄢ1" + ], + "爙": [ + "ㄖㄤ3" + ], + "爚": [ + "ㄩㄝ4" + ], + "爛": [ + "ㄌㄢ4" + ], + "爜": [ + "ㄘㄨㄥ2" + ], + "爝": [ + "ㄐㄩㄝ2", + "ㄐㄧㄠ4" + ], + "爞": [ + "ㄔㄨㄥ2", + "ㄊㄨㄥ2" + ], + "爟": [ + "ㄍㄨㄢ4" + ], + "爠": [ + "ㄐㄩ5" + ], + "爡": [ + "ㄔㄜ4" + ], + "爢": [ + "ㄇㄧ2" + ], + "爣": [ + "ㄊㄤ3" + ], + "爤": [ + "ㄌㄢ4" + ], + "爥": [ + "ㄓㄨ2" + ], + "爦": [ + "ㄌㄢ3" + ], + "爧": [ + "ㄌㄧㄥ2" + ], + "爨": [ + "ㄘㄨㄢ4" + ], + "爩": [ + "ㄩ4" + ], + "爪": [ + "ㄓㄠ3", + "ㄓㄨㄚ3" + ], + "爫": [ + "ㄓㄠ3" + ], + "爬": [ + "ㄆㄚ2" + ], + "爭": [ + "ㄓㄥ1", + "ㄓㄥ4" + ], + "爮": [ + "ㄆㄠ2" + ], + "爯": [ + "ㄔㄥ1", + "ㄔㄥ4" + ], + "爰": [ + "ㄩㄢ2" + ], + "爱": [ + "ㄞ4" + ], + "爲": [ + "ㄨㄟ4", + "ㄨㄟ2" + ], + "爳": [ + "ㄏㄢ5" + ], + "爴": [ + "ㄐㄩㄝ2" + ], + "爵": [ + "ㄐㄩㄝ2" + ], + "父": [ + "ㄈㄨ4", + "ㄈㄨ3" + ], + "爷": [ + "ㄧㄝ2" + ], + "爸": [ + "ㄅㄚ4" + ], + "爹": [ + "ㄉㄧㄝ1" + ], + "爺": [ + "ㄧㄝ2" + ], + "爻": [ + "ㄧㄠ2", + "ㄒㄧㄠ4" + ], + "爼": [ + "ㄗㄨ3" + ], + "爽": [ + "ㄕㄨㄤ3", + "ㄕㄨㄤ1" + ], + "爾": [ + "ㄦ3", + "ㄇㄧ3", + "ㄋㄧ3" + ], + "爿": [ + "ㄆㄢ2", + "ㄑㄧㄤ2" + ], + "牀": [ + "ㄔㄨㄤ2" + ], + "牁": [ + "ㄎㄜ1" + ], + "牂": [ + "ㄗㄤ1" + ], + "牃": [ + "ㄉㄧㄝ2" + ], + "牄": [ + "ㄑㄧㄤ1" + ], + "牅": [ + "ㄩㄥ1" + ], + "牆": [ + "ㄑㄧㄤ2" + ], + "片": [ + "ㄆㄧㄢ4", + "ㄆㄧㄢ1", + "ㄆㄢ4" + ], + "版": [ + "ㄅㄢ3" + ], + "牉": [ + "ㄆㄢ4" + ], + "牊": [ + "ㄔㄠ2" + ], + "牋": [ + "ㄐㄧㄢ1" + ], + "牌": [ + "ㄆㄞ2" + ], + "牍": [ + "ㄉㄨ2" + ], + "牎": [ + "ㄔㄨㄤ1" + ], + "牏": [ + "ㄩ2" + ], + "牐": [ + "ㄓㄚ2" + ], + "牑": [ + "ㄅㄧㄢ1", + "ㄇㄧㄢ4" + ], + "牒": [ + "ㄉㄧㄝ2" + ], + "牓": [ + "ㄅㄤ3", + "ㄆㄤ1" + ], + "牔": [ + "ㄅㄛ2" + ], + "牕": [ + "ㄔㄨㄤ1" + ], + "牖": [ + "ㄧㄡ3" + ], + "牗": [ + "ㄧㄡ3" + ], + "牘": [ + "ㄉㄨ2" + ], + "牙": [ + "ㄧㄚ2", + "ㄧㄚ4" + ], + "牚": [ + "ㄔㄥ1", + "ㄔㄥ4" + ], + "牛": [ + "ㄋㄧㄡ2" + ], + "牜": [ + "ㄋㄧㄡ2" + ], + "牝": [ + "ㄆㄧㄣ4" + ], + "牞": [ + "ㄐㄧㄡ1", + "ㄌㄜ4" + ], + "牟": [ + "ㄇㄡ2", + "ㄇㄨ4", + "ㄇㄠ4" + ], + "牠": [ + "ㄊㄚ1", + "ㄊㄨㄛ2" + ], + "牡": [ + "ㄇㄨ3" + ], + "牢": [ + "ㄌㄠ2", + "ㄌㄠ4", + "ㄌㄡ2" + ], + "牣": [ + "ㄖㄣ4" + ], + "牤": [ + "ㄇㄤ1" + ], + "牥": [ + "ㄈㄤ1" + ], + "牦": [ + "ㄇㄠ2" + ], + "牧": [ + "ㄇㄨ4" + ], + "牨": [ + "ㄍㄤ1" + ], + "物": [ + "ㄨ4" + ], + "牪": [ + "ㄧㄢ4" + ], + "牫": [ + "ㄍㄜ1", + "ㄑㄧㄡ2", + "ㄗㄤ1" + ], + "牬": [ + "ㄅㄟ4" + ], + "牭": [ + "ㄙ4" + ], + "牮": [ + "ㄐㄧㄢ4" + ], + "牯": [ + "ㄍㄨ3" + ], + "牰": [ + "ㄧㄡ4", + "ㄔㄡ1" + ], + "牱": [ + "ㄍㄜ1" + ], + "牲": [ + "ㄕㄥ1" + ], + "牳": [ + "ㄇㄨ3" + ], + "牴": [ + "ㄉㄧ3", + "ㄉㄧ1", + "ㄓㄞ1" + ], + "牵": [ + "ㄑㄧㄢ1" + ], + "牶": [ + "ㄑㄩㄢ4" + ], + "牷": [ + "ㄑㄩㄢ2" + ], + "牸": [ + "ㄗ4" + ], + "特": [ + "ㄊㄜ4" + ], + "牺": [ + "ㄒㄧ1" + ], + "牻": [ + "ㄇㄤ2" + ], + "牼": [ + "ㄎㄥ1" + ], + "牽": [ + "ㄑㄧㄢ1", + "ㄑㄧㄢ4" + ], + "牾": [ + "ㄨ3", + "ㄨ2" + ], + "牿": [ + "ㄍㄨ4" + ], + "犀": [ + "ㄒㄧ1" + ], + "犁": [ + "ㄌㄧ2" + ], + "犂": [ + "ㄌㄧ2" + ], + "犃": [ + "ㄆㄡ3" + ], + "犄": [ + "ㄐㄧ1", + "ㄧ1" + ], + "犅": [ + "ㄍㄤ1" + ], + "犆": [ + "ㄓ2", + "ㄊㄜ4" + ], + "犇": [ + "ㄅㄣ1" + ], + "犈": [ + "ㄑㄩㄢ2" + ], + "犉": [ + "ㄔㄨㄣ2" + ], + "犊": [ + "ㄉㄨ2" + ], + "犋": [ + "ㄐㄩ4" + ], + "犌": [ + "ㄐㄧㄚ1" + ], + "犍": [ + "ㄐㄧㄢ1", + "ㄑㄧㄢ2", + "ㄐㄧㄢ3" + ], + "犎": [ + "ㄈㄥ1" + ], + "犏": [ + "ㄆㄧㄢ1" + ], + "犐": [ + "ㄎㄜ1" + ], + "犑": [ + "ㄐㄩ2" + ], + "犒": [ + "ㄎㄠ4" + ], + "犓": [ + "ㄔㄨ2" + ], + "犔": [ + "ㄒㄧ4" + ], + "犕": [ + "ㄅㄟ4" + ], + "犖": [ + "ㄌㄨㄛ4" + ], + "犗": [ + "ㄐㄧㄝ4" + ], + "犘": [ + "ㄇㄚ2" + ], + "犙": [ + "ㄙㄢ1" + ], + "犚": [ + "ㄨㄟ4" + ], + "犛": [ + "ㄇㄠ2", + "ㄌㄧ2" + ], + "犜": [ + "ㄉㄨㄣ1" + ], + "犝": [ + "ㄊㄨㄥ2" + ], + "犞": [ + "ㄑㄧㄠ2" + ], + "犟": [ + "ㄐㄧㄤ4" + ], + "犠": [ + "ㄒㄧ1" + ], + "犡": [ + "ㄌㄧ4" + ], + "犢": [ + "ㄉㄨ2" + ], + "犣": [ + "ㄌㄧㄝ4" + ], + "犤": [ + "ㄆㄞ2" + ], + "犥": [ + "ㄆㄧㄠ1", + "ㄆㄠ4" + ], + "犦": [ + "ㄅㄛ2" + ], + "犧": [ + "ㄒㄧ1", + "ㄙㄨㄛ1" + ], + "犨": [ + "ㄔㄡ1" + ], + "犩": [ + "ㄨㄟ2" + ], + "犪": [ + "ㄎㄨㄟ2", + "ㄖㄠ2" + ], + "犫": [ + "ㄔㄡ1" + ], + "犬": [ + "ㄑㄩㄢ3" + ], + "犭": [ + "ㄑㄩㄢ3" + ], + "犮": [ + "ㄅㄚ2" + ], + "犯": [ + "ㄈㄢ4" + ], + "犰": [ + "ㄑㄧㄡ2" + ], + "犱": [ + "ㄐㄧ3" + ], + "犲": [ + "ㄔㄞ2" + ], + "犳": [ + "ㄓㄨㄛ2" + ], + "犴": [ + "ㄢ4", + "ㄏㄢ1", + "ㄢ2", + "ㄐㄧㄢ4" + ], + "犵": [ + "ㄍㄜ1", + "ㄏㄜ2" + ], + "状": [ + "ㄓㄨㄤ4" + ], + "犷": [ + "ㄍㄨㄤ3" + ], + "犸": [ + "ㄇㄚ4", + "ㄇㄚ3" + ], + "犹": [ + "ㄧㄡ2", + "ㄧㄡ4" + ], + "犺": [ + "ㄎㄤ4", + "ㄍㄤ3" + ], + "犻": [ + "ㄅㄛ2", + "ㄆㄟ4", + "ㄈㄟ4" + ], + "犼": [ + "ㄏㄡ3" + ], + "犽": [ + "ㄧㄚ4" + ], + "犾": [ + "ㄧㄣ2" + ], + "犿": [ + "ㄏㄨㄢ1", + "ㄈㄢ1" + ], + "狀": [ + "ㄓㄨㄤ4" + ], + "狁": [ + "ㄩㄣ3" + ], + "狂": [ + "ㄎㄨㄤ2", + "ㄐㄩㄝ2" + ], + "狃": [ + "ㄋㄧㄡ3", + "ㄋㄩ4" + ], + "狄": [ + "ㄉㄧ2", + "ㄊㄧ4" + ], + "狅": [ + "ㄎㄨㄤ2" + ], + "狆": [ + "ㄓㄨㄥ4" + ], + "狇": [ + "ㄇㄨ4" + ], + "狈": [ + "ㄅㄟ4" + ], + "狉": [ + "ㄆㄧ1" + ], + "狊": [ + "ㄐㄩ2" + ], + "狋": [ + "ㄧ2", + "ㄑㄩㄢ2", + "ㄔ2" + ], + "狌": [ + "ㄕㄥ1", + "ㄒㄧㄥ1" + ], + "狍": [ + "ㄆㄠ2" + ], + "狎": [ + "ㄒㄧㄚ2" + ], + "狏": [ + "ㄊㄨㄛ2", + "ㄧ2" + ], + "狐": [ + "ㄏㄨ2" + ], + "狑": [ + "ㄌㄧㄥ2" + ], + "狒": [ + "ㄈㄟ4" + ], + "狓": [ + "ㄆㄧ2", + "ㄆㄧ1" + ], + "狔": [ + "ㄋㄧ3" + ], + "狕": [ + "ㄧㄠ3" + ], + "狖": [ + "ㄧㄡ4" + ], + "狗": [ + "ㄍㄡ3" + ], + "狘": [ + "ㄒㄩㄝ4" + ], + "狙": [ + "ㄐㄩ1" + ], + "狚": [ + "ㄉㄢ4" + ], + "狛": [ + "ㄅㄛ2" + ], + "狜": [ + "ㄎㄨ3" + ], + "狝": [ + "ㄒㄧㄢ3" + ], + "狞": [ + "ㄋㄧㄥ2" + ], + "狟": [ + "ㄏㄨㄢ2", + "ㄒㄩㄢ1", + "ㄏㄥ2" + ], + "狠": [ + "ㄏㄣ3", + "ㄧㄢ2", + "ㄎㄣ3", + "ㄏㄤ3" + ], + "狡": [ + "ㄐㄧㄠ3", + "ㄒㄧㄠ4" + ], + "狢": [ + "ㄏㄜ2", + "ㄇㄛ4" + ], + "狣": [ + "ㄓㄠ4" + ], + "狤": [ + "ㄐㄧ2", + "ㄐㄧㄝ2", + "ㄎㄨㄞ4" + ], + "狥": [ + "ㄒㄩㄣ4" + ], + "狦": [ + "ㄕㄢ1" + ], + "狧": [ + "ㄊㄚ4", + "ㄕ4" + ], + "狨": [ + "ㄖㄨㄥ2" + ], + "狩": [ + "ㄕㄡ4" + ], + "狪": [ + "ㄊㄨㄥ2", + "ㄉㄨㄥ4" + ], + "狫": [ + "ㄌㄠ3" + ], + "独": [ + "ㄉㄨ2" + ], + "狭": [ + "ㄒㄧㄚ2" + ], + "狮": [ + "ㄕ1" + ], + "狯": [ + "ㄎㄨㄞ4" + ], + "狰": [ + "ㄓㄥ1" + ], + "狱": [ + "ㄩ4" + ], + "狲": [ + "ㄙㄨㄣ1" + ], + "狳": [ + "ㄩ2" + ], + "狴": [ + "ㄅㄧ4" + ], + "狵": [ + "ㄇㄤ2", + "ㄓㄨㄛ2" + ], + "狶": [ + "ㄒㄧ1", + "ㄕ3" + ], + "狷": [ + "ㄐㄩㄢ4" + ], + "狸": [ + "ㄌㄧ2" + ], + "狹": [ + "ㄒㄧㄚ2" + ], + "狺": [ + "ㄧㄣ2" + ], + "狻": [ + "ㄙㄨㄢ1", + "ㄒㄩㄣ4", + "ㄐㄩㄣ4" + ], + "狼": [ + "ㄌㄤ2", + "ㄌㄤ3", + "ㄌㄤ4", + "ㄏㄤ3" + ], + "狽": [ + "ㄅㄟ4" + ], + "狾": [ + "ㄓ4" + ], + "狿": [ + "ㄧㄢ2" + ], + "猀": [ + "ㄕㄚ1" + ], + "猁": [ + "ㄌㄧ4" + ], + "猂": [ + "ㄏㄢ4" + ], + "猃": [ + "ㄒㄧㄢ3" + ], + "猄": [ + "ㄐㄧㄥ1" + ], + "猅": [ + "ㄆㄞ2" + ], + "猆": [ + "ㄈㄟ1" + ], + "猇": [ + "ㄒㄧㄠ1" + ], + "猈": [ + "ㄅㄞ4", + "ㄆㄧ2" + ], + "猉": [ + "ㄑㄧ2" + ], + "猊": [ + "ㄋㄧ2" + ], + "猋": [ + "ㄅㄧㄠ1" + ], + "猌": [ + "ㄧㄣ4" + ], + "猍": [ + "ㄌㄞ2" + ], + "猎": [ + "ㄌㄧㄝ4", + "ㄒㄧ1", + "ㄑㄩㄝ4" + ], + "猏": [ + "ㄐㄧㄢ1" + ], + "猐": [ + "ㄑㄧㄤ1" + ], + "猑": [ + "ㄎㄨㄣ1" + ], + "猒": [ + "ㄧㄢ4" + ], + "猓": [ + "ㄍㄨㄛ3", + "ㄌㄨㄛ3" + ], + "猔": [ + "ㄗㄨㄥ4" + ], + "猕": [ + "ㄇㄧ2" + ], + "猖": [ + "ㄔㄤ1" + ], + "猗": [ + "ㄧ1", + "ㄧ3", + "ㄐㄧ4", + "ㄜ1", + "ㄨㄟ1" + ], + "猘": [ + "ㄓ4" + ], + "猙": [ + "ㄓㄥ1" + ], + "猚": [ + "ㄧㄚ2", + "ㄨㄟ4" + ], + "猛": [ + "ㄇㄥ3" + ], + "猜": [ + "ㄘㄞ1" + ], + "猝": [ + "ㄘㄨ4" + ], + "猞": [ + "ㄕㄜ1" + ], + "猟": [ + "ㄌㄧㄝ4" + ], + "猠": [ + "ㄉㄧㄢ3" + ], + "猡": [ + "ㄌㄨㄛ2" + ], + "猢": [ + "ㄏㄨ2" + ], + "猣": [ + "ㄗㄨㄥ1" + ], + "猤": [ + "ㄍㄨㄟ4" + ], + "猥": [ + "ㄨㄟ3", + "ㄨㄟ4" + ], + "猦": [ + "ㄈㄥ1" + ], + "猧": [ + "ㄨㄛ1" + ], + "猨": [ + "ㄩㄢ2" + ], + "猩": [ + "ㄒㄧㄥ1" + ], + "猪": [ + "ㄓㄨ1" + ], + "猫": [ + "ㄇㄠ1", + "ㄇㄧㄠ2", + "ㄇㄠ2" + ], + "猬": [ + "ㄨㄟ4" + ], + "猭": [ + "ㄔㄨㄢ1", + "ㄔㄨㄢ4", + "ㄕㄢ1" + ], + "献": [ + "ㄒㄧㄢ4" + ], + "猯": [ + "ㄊㄨㄢ1" + ], + "猰": [ + "ㄧㄚ4", + "ㄐㄧㄚ2", + "ㄑㄧㄝ4" + ], + "猱": [ + "ㄋㄠ2" + ], + "猲": [ + "ㄒㄧㄝ1", + "ㄏㄜ4", + "ㄍㄜ2", + "ㄏㄞ4" + ], + "猳": [ + "ㄐㄧㄚ1" + ], + "猴": [ + "ㄏㄡ2" + ], + "猵": [ + "ㄅㄧㄢ1", + "ㄆㄧㄢ4" + ], + "猶": [ + "ㄧㄡ2", + "ㄧㄠ2" + ], + "猷": [ + "ㄧㄡ2" + ], + "猸": [ + "ㄇㄟ2" + ], + "猹": [ + "ㄔㄚ2" + ], + "猺": [ + "ㄧㄠ2" + ], + "猻": [ + "ㄙㄨㄣ1" + ], + "猼": [ + "ㄅㄛ2", + "ㄆㄛ4" + ], + "猽": [ + "ㄇㄧㄥ2" + ], + "猾": [ + "ㄏㄨㄚ2" + ], + "猿": [ + "ㄩㄢ2" + ], + "獀": [ + "ㄙㄡ1" + ], + "獁": [ + "ㄇㄚ4", + "ㄇㄚ3" + ], + "獂": [ + "ㄩㄢ2" + ], + "獃": [ + "ㄉㄞ1", + "ㄞ2" + ], + "獄": [ + "ㄩ4" + ], + "獅": [ + "ㄕ1" + ], + "獆": [ + "ㄏㄠ2" + ], + "獇": [ + "ㄑㄧㄤ1" + ], + "獈": [ + "ㄧ4" + ], + "獉": [ + "ㄓㄣ1" + ], + "獊": [ + "ㄘㄤ1" + ], + "獋": [ + "ㄏㄠ2", + "ㄍㄠ1" + ], + "獌": [ + "ㄇㄢ4" + ], + "獍": [ + "ㄐㄧㄥ4" + ], + "獎": [ + "ㄐㄧㄤ3" + ], + "獏": [ + "ㄇㄛ4", + "ㄇㄨ2" + ], + "獐": [ + "ㄓㄤ1" + ], + "獑": [ + "ㄔㄢ2" + ], + "獒": [ + "ㄠ2" + ], + "獓": [ + "ㄠ2" + ], + "獔": [ + "ㄏㄠ2" + ], + "獕": [ + "ㄘㄨㄟ1" + ], + "獖": [ + "ㄅㄣ4", + "ㄈㄣ4", + "ㄈㄣ2" + ], + "獗": [ + "ㄐㄩㄝ2" + ], + "獘": [ + "ㄅㄧ4" + ], + "獙": [ + "ㄅㄧ4" + ], + "獚": [ + "ㄏㄨㄤ2" + ], + "獛": [ + "ㄆㄨ2" + ], + "獜": [ + "ㄌㄧㄣ2", + "ㄌㄧㄣ4" + ], + "獝": [ + "ㄒㄩ4", + "ㄩ4" + ], + "獞": [ + "ㄊㄨㄥ2", + "ㄓㄨㄤ4" + ], + "獟": [ + "ㄧㄠ4", + "ㄒㄧㄠ1" + ], + "獠": [ + "ㄌㄧㄠ2", + "ㄌㄠ3" + ], + "獡": [ + "ㄕㄨㄛ4" + ], + "獢": [ + "ㄒㄧㄠ1" + ], + "獣": [ + "ㄕㄡ4" + ], + "獤": [ + "ㄉㄨㄣ1" + ], + "獥": [ + "ㄐㄧㄠ4" + ], + "獦": [ + "ㄍㄜ2", + "ㄒㄧㄝ1", + "ㄌㄧㄝ4" + ], + "獧": [ + "ㄐㄩㄢ4" + ], + "獨": [ + "ㄉㄨ2" + ], + "獩": [ + "ㄏㄨㄟ4" + ], + "獪": [ + "ㄎㄨㄞ4", + "ㄏㄨㄚ2" + ], + "獫": [ + "ㄒㄧㄢ3" + ], + "獬": [ + "ㄒㄧㄝ4", + "ㄏㄚ3", + "ㄐㄧㄝ3" + ], + "獭": [ + "ㄊㄚ3" + ], + "獮": [ + "ㄒㄧㄢ3", + "ㄇㄧ2" + ], + "獯": [ + "ㄒㄩㄣ1" + ], + "獰": [ + "ㄋㄧㄥ2" + ], + "獱": [ + "ㄅㄧㄢ1" + ], + "獲": [ + "ㄏㄨㄛ4" + ], + "獳": [ + "ㄋㄡ4", + "ㄖㄨ2" + ], + "獴": [ + "ㄇㄥ3", + "ㄇㄥ2" + ], + "獵": [ + "ㄌㄧㄝ4" + ], + "獶": [ + "ㄋㄠ3", + "ㄧㄡ1", + "ㄋㄠ2" + ], + "獷": [ + "ㄍㄨㄤ3", + "ㄐㄧㄥ3" + ], + "獸": [ + "ㄕㄡ4" + ], + "獹": [ + "ㄌㄨ2" + ], + "獺": [ + "ㄊㄚ3" + ], + "獻": [ + "ㄒㄧㄢ4", + "ㄙㄨㄛ1", + "ㄒㄧ1" + ], + "獼": [ + "ㄇㄧ2" + ], + "獽": [ + "ㄖㄤ2" + ], + "獾": [ + "ㄏㄨㄢ1", + "ㄑㄩㄢ2" + ], + "獿": [ + "ㄋㄠ3", + "ㄋㄠ2" + ], + "玀": [ + "ㄌㄨㄛ2", + "ㄜ3" + ], + "玁": [ + "ㄒㄧㄢ3" + ], + "玂": [ + "ㄑㄧ2" + ], + "玃": [ + "ㄐㄩㄝ2" + ], + "玄": [ + "ㄒㄩㄢ2", + "ㄒㄩㄢ4" + ], + "玅": [ + "ㄇㄧㄠ4", + "ㄧㄠ1" + ], + "玆": [ + "ㄗ1", + "ㄒㄩㄢ2" + ], + "率": [ + "ㄌㄩ4", + "ㄕㄨㄞ4", + "ㄌㄩㄝ4" + ], + "玈": [ + "ㄌㄨ2" + ], + "玉": [ + "ㄩ4" + ], + "玊": [ + "ㄙㄨ4" + ], + "王": [ + "ㄨㄤ2", + "ㄨㄤ4", + "ㄩ4" + ], + "玌": [ + "ㄑㄧㄡ2" + ], + "玍": [ + "ㄍㄚ3" + ], + "玎": [ + "ㄉㄧㄥ1" + ], + "玏": [ + "ㄌㄜ4" + ], + "玐": [ + "ㄅㄚ1" + ], + "玑": [ + "ㄐㄧ1" + ], + "玒": [ + "ㄏㄨㄥ2" + ], + "玓": [ + "ㄉㄧ4" + ], + "玔": [ + "ㄔㄨㄢ4" + ], + "玕": [ + "ㄍㄢ1" + ], + "玖": [ + "ㄐㄧㄡ3" + ], + "玗": [ + "ㄩ2" + ], + "玘": [ + "ㄑㄧ3" + ], + "玙": [ + "ㄩ2" + ], + "玚": [ + "ㄔㄤ4", + "ㄧㄤ2" + ], + "玛": [ + "ㄇㄚ3" + ], + "玜": [ + "ㄏㄨㄥ2" + ], + "玝": [ + "ㄨ3" + ], + "玞": [ + "ㄈㄨ1" + ], + "玟": [ + "ㄨㄣ2", + "ㄇㄧㄣ2" + ], + "玠": [ + "ㄐㄧㄝ4" + ], + "玡": [ + "ㄧㄚ2", + "ㄧㄚ4" + ], + "玢": [ + "ㄅㄧㄣ1", + "ㄈㄣ1" + ], + "玣": [ + "ㄅㄧㄢ4" + ], + "玤": [ + "ㄅㄤ4" + ], + "玥": [ + "ㄩㄝ4" + ], + "玦": [ + "ㄐㄩㄝ2" + ], + "玧": [ + "ㄇㄣ2", + "ㄩㄣ3" + ], + "玨": [ + "ㄐㄩㄝ2" + ], + "玩": [ + "ㄨㄢ2" + ], + "玪": [ + "ㄐㄧㄢ1", + "ㄧㄣ2", + "ㄑㄧㄢ2", + "ㄌㄧㄣ2" + ], + "玫": [ + "ㄇㄟ2" + ], + "玬": [ + "ㄉㄢ3" + ], + "玭": [ + "ㄆㄧㄣ2" + ], + "玮": [ + "ㄨㄟ3" + ], + "环": [ + "ㄏㄨㄢ2" + ], + "现": [ + "ㄒㄧㄢ4" + ], + "玱": [ + "ㄑㄧㄤ1" + ], + "玲": [ + "ㄌㄧㄥ2" + ], + "玳": [ + "ㄉㄞ4" + ], + "玴": [ + "ㄧ4" + ], + "玵": [ + "ㄢ2", + "ㄍㄢ1" + ], + "玶": [ + "ㄆㄧㄥ2" + ], + "玷": [ + "ㄉㄧㄢ4", + "ㄉㄧㄢ1" + ], + "玸": [ + "ㄈㄨ2" + ], + "玹": [ + "ㄒㄩㄢ2", + "ㄒㄩㄢ4", + "ㄒㄧㄢ2" + ], + "玺": [ + "ㄒㄧ3" + ], + "玻": [ + "ㄅㄛ1" + ], + "玼": [ + "ㄘ3", + "ㄘ1", + "ㄘㄨㄛ1" + ], + "玽": [ + "ㄍㄡ3" + ], + "玾": [ + "ㄐㄧㄚ3" + ], + "玿": [ + "ㄕㄠ2" + ], + "珀": [ + "ㄆㄛ4" + ], + "珁": [ + "ㄘ2" + ], + "珂": [ + "ㄎㄜ1" + ], + "珃": [ + "ㄖㄢ3" + ], + "珄": [ + "ㄕㄥ1" + ], + "珅": [ + "ㄕㄣ1" + ], + "珆": [ + "ㄧ2", + "ㄊㄞ1" + ], + "珇": [ + "ㄗㄨ3", + "ㄐㄩ4" + ], + "珈": [ + "ㄐㄧㄚ1" + ], + "珉": [ + "ㄇㄧㄣ2" + ], + "珊": [ + "ㄕㄢ1" + ], + "珋": [ + "ㄌㄧㄡ3" + ], + "珌": [ + "ㄅㄧ4" + ], + "珍": [ + "ㄓㄣ1" + ], + "珎": [ + "ㄓㄣ1" + ], + "珏": [ + "ㄐㄩㄝ2" + ], + "珐": [ + "ㄈㄚ4" + ], + "珑": [ + "ㄌㄨㄥ2" + ], + "珒": [ + "ㄐㄧㄣ1" + ], + "珓": [ + "ㄐㄧㄠ4" + ], + "珔": [ + "ㄐㄧㄢ4" + ], + "珕": [ + "ㄌㄧ4" + ], + "珖": [ + "ㄍㄨㄤ1" + ], + "珗": [ + "ㄒㄧㄢ1" + ], + "珘": [ + "ㄓㄡ1" + ], + "珙": [ + "ㄍㄨㄥ3" + ], + "珚": [ + "ㄧㄢ1" + ], + "珛": [ + "ㄒㄧㄡ4" + ], + "珜": [ + "ㄧㄤ2" + ], + "珝": [ + "ㄒㄩ3" + ], + "珞": [ + "ㄌㄨㄛ4", + "ㄌㄧ4" + ], + "珟": [ + "ㄙㄨ4" + ], + "珠": [ + "ㄓㄨ1" + ], + "珡": [ + "ㄑㄧㄣ2" + ], + "珢": [ + "ㄧㄣ2", + "ㄎㄣ4" + ], + "珣": [ + "ㄒㄩㄣ2" + ], + "珤": [ + "ㄅㄠ3" + ], + "珥": [ + "ㄦ3" + ], + "珦": [ + "ㄒㄧㄤ4" + ], + "珧": [ + "ㄧㄠ2" + ], + "珨": [ + "ㄒㄧㄚ2" + ], + "珩": [ + "ㄏㄤ2", + "ㄏㄥ2" + ], + "珪": [ + "ㄍㄨㄟ1" + ], + "珫": [ + "ㄔㄨㄥ1" + ], + "珬": [ + "ㄒㄩ4" + ], + "班": [ + "ㄅㄢ1" + ], + "珮": [ + "ㄆㄟ4" + ], + "珯": [ + "ㄌㄠ3" + ], + "珰": [ + "ㄉㄤ1" + ], + "珱": [ + "ㄧㄥ1" + ], + "珲": [ + "ㄏㄨㄟ1", + "ㄏㄨㄣ2" + ], + "珳": [ + "ㄨㄣ2" + ], + "珴": [ + "ㄜ2" + ], + "珵": [ + "ㄔㄥ2", + "ㄊㄧㄥ3" + ], + "珶": [ + "ㄉㄧ4", + "ㄊㄧ2" + ], + "珷": [ + "ㄨ3", + "ㄨ4" + ], + "珸": [ + "ㄨ2" + ], + "珹": [ + "ㄔㄥ2" + ], + "珺": [ + "ㄐㄩㄣ4" + ], + "珻": [ + "ㄇㄟ2" + ], + "珼": [ + "ㄅㄟ4" + ], + "珽": [ + "ㄊㄧㄥ3" + ], + "現": [ + "ㄒㄧㄢ4" + ], + "珿": [ + "ㄔㄨ4" + ], + "琀": [ + "ㄏㄢ2" + ], + "琁": [ + "ㄒㄩㄢ2", + "ㄑㄩㄥ2" + ], + "琂": [ + "ㄧㄢ2" + ], + "球": [ + "ㄑㄧㄡ2" + ], + "琄": [ + "ㄒㄩㄢ4" + ], + "琅": [ + "ㄌㄤ2", + "ㄌㄤ4" + ], + "理": [ + "ㄌㄧ3" + ], + "琇": [ + "ㄒㄧㄡ4" + ], + "琈": [ + "ㄈㄨ2", + "ㄈㄨ1" + ], + "琉": [ + "ㄌㄧㄡ2" + ], + "琊": [ + "ㄧㄚ2" + ], + "琋": [ + "ㄒㄧ1" + ], + "琌": [ + "ㄌㄧㄥ2" + ], + "琍": [ + "ㄌㄧ2" + ], + "琎": [ + "ㄐㄧㄣ4" + ], + "琏": [ + "ㄌㄧㄢ3" + ], + "琐": [ + "ㄙㄨㄛ3" + ], + "琑": [ + "ㄙㄨㄛ3" + ], + "琒": [ + "ㄈㄥ1" + ], + "琓": [ + "ㄨㄢ2" + ], + "琔": [ + "ㄉㄧㄢ4" + ], + "琕": [ + "ㄆㄧㄣ2", + "ㄅㄧㄥ3" + ], + "琖": [ + "ㄓㄢ3" + ], + "琗": [ + "ㄙㄜ4", + "ㄘㄨㄟ4" + ], + "琘": [ + "ㄇㄧㄣ2" + ], + "琙": [ + "ㄩ4" + ], + "琚": [ + "ㄐㄩ1" + ], + "琛": [ + "ㄔㄣ1" + ], + "琜": [ + "ㄌㄞ2" + ], + "琝": [ + "ㄇㄧㄣ2" + ], + "琞": [ + "ㄕㄥ4", + "ㄨㄤ4" + ], + "琟": [ + "ㄨㄟ2", + "ㄩ4" + ], + "琠": [ + "ㄊㄧㄢ3", + "ㄊㄧㄢ4" + ], + "琡": [ + "ㄔㄨ4" + ], + "琢": [ + "ㄗㄨㄛ2", + "ㄓㄨㄛ2" + ], + "琣": [ + "ㄅㄥ3", + "ㄆㄟ3" + ], + "琤": [ + "ㄔㄥ1" + ], + "琥": [ + "ㄏㄨ3" + ], + "琦": [ + "ㄑㄧ2" + ], + "琧": [ + "ㄜ4" + ], + "琨": [ + "ㄎㄨㄣ1" + ], + "琩": [ + "ㄔㄤ1" + ], + "琪": [ + "ㄑㄧ2" + ], + "琫": [ + "ㄅㄥ3" + ], + "琬": [ + "ㄨㄢ3" + ], + "琭": [ + "ㄌㄨ4" + ], + "琮": [ + "ㄘㄨㄥ2" + ], + "琯": [ + "ㄍㄨㄢ3", + "ㄍㄨㄣ4", + "ㄍㄨㄢ1", + "ㄍㄨㄢ4" + ], + "琰": [ + "ㄧㄢ3" + ], + "琱": [ + "ㄉㄧㄠ1" + ], + "琲": [ + "ㄅㄟ4" + ], + "琳": [ + "ㄌㄧㄣ2" + ], + "琴": [ + "ㄑㄧㄣ2" + ], + "琵": [ + "ㄆㄧ2" + ], + "琶": [ + "ㄆㄚ2" + ], + "琷": [ + "ㄑㄩㄝ4" + ], + "琸": [ + "ㄓㄨㄛ2" + ], + "琹": [ + "ㄑㄧㄣ2" + ], + "琺": [ + "ㄈㄚ4" + ], + "琻": [ + "ㄐㄧㄣ1" + ], + "琼": [ + "ㄑㄩㄥ2" + ], + "琽": [ + "ㄉㄨ3" + ], + "琾": [ + "ㄐㄧㄝ4" + ], + "琿": [ + "ㄏㄨㄣ2", + "ㄏㄨㄟ1" + ], + "瑀": [ + "ㄩ3" + ], + "瑁": [ + "ㄇㄠ4" + ], + "瑂": [ + "ㄇㄟ2" + ], + "瑃": [ + "ㄔㄨㄣ1" + ], + "瑄": [ + "ㄒㄩㄢ1" + ], + "瑅": [ + "ㄊㄧ2" + ], + "瑆": [ + "ㄒㄧㄥ1" + ], + "瑇": [ + "ㄉㄞ4" + ], + "瑈": [ + "ㄖㄡ2" + ], + "瑉": [ + "ㄇㄧㄣ2" + ], + "瑊": [ + "ㄐㄧㄢ1" + ], + "瑋": [ + "ㄨㄟ3" + ], + "瑌": [ + "ㄖㄨㄢ3" + ], + "瑍": [ + "ㄏㄨㄢ4" + ], + "瑎": [ + "ㄒㄧㄝ2" + ], + "瑏": [ + "ㄔㄨㄢ1" + ], + "瑐": [ + "ㄐㄧㄢ3" + ], + "瑑": [ + "ㄓㄨㄢ4" + ], + "瑒": [ + "ㄔㄤ4", + "ㄧㄤ2", + "ㄉㄤ4" + ], + "瑓": [ + "ㄌㄧㄢ4" + ], + "瑔": [ + "ㄑㄩㄢ2" + ], + "瑕": [ + "ㄒㄧㄚ2" + ], + "瑖": [ + "ㄉㄨㄢ4" + ], + "瑗": [ + "ㄩㄢ4", + "ㄏㄨㄢ2" + ], + "瑘": [ + "ㄧㄚ2" + ], + "瑙": [ + "ㄋㄠ3" + ], + "瑚": [ + "ㄏㄨ2" + ], + "瑛": [ + "ㄧㄥ1" + ], + "瑜": [ + "ㄩ2" + ], + "瑝": [ + "ㄏㄨㄤ2" + ], + "瑞": [ + "ㄖㄨㄟ4" + ], + "瑟": [ + "ㄙㄜ4" + ], + "瑠": [ + "ㄌㄧㄡ2" + ], + "瑡": [ + "ㄕ1" + ], + "瑢": [ + "ㄖㄨㄥ2" + ], + "瑣": [ + "ㄙㄨㄛ3" + ], + "瑤": [ + "ㄧㄠ2" + ], + "瑥": [ + "ㄨㄣ1" + ], + "瑦": [ + "ㄨ3" + ], + "瑧": [ + "ㄓㄣ1" + ], + "瑨": [ + "ㄐㄧㄣ4" + ], + "瑩": [ + "ㄧㄥ2", + "ㄧㄥ3" + ], + "瑪": [ + "ㄇㄚ3" + ], + "瑫": [ + "ㄊㄠ1" + ], + "瑬": [ + "ㄌㄧㄡ2" + ], + "瑭": [ + "ㄊㄤ2" + ], + "瑮": [ + "ㄌㄧ4" + ], + "瑯": [ + "ㄌㄤ2" + ], + "瑰": [ + "ㄍㄨㄟ1" + ], + "瑱": [ + "ㄓㄣ4", + "ㄊㄧㄢ4" + ], + "瑲": [ + "ㄑㄧㄤ1", + "ㄔㄥ1", + "ㄘㄤ1" + ], + "瑳": [ + "ㄘㄨㄛ1" + ], + "瑴": [ + "ㄐㄩㄝ2" + ], + "瑵": [ + "ㄓㄠ3" + ], + "瑶": [ + "ㄧㄠ2" + ], + "瑷": [ + "ㄞ4" + ], + "瑸": [ + "ㄅㄧㄣ1" + ], + "瑹": [ + "ㄕㄨ1", + "ㄊㄨ1" + ], + "瑺": [ + "ㄔㄤ2" + ], + "瑻": [ + "ㄎㄨㄣ1" + ], + "瑼": [ + "ㄓㄨㄢ1" + ], + "瑽": [ + "ㄘㄨㄥ1" + ], + "瑾": [ + "ㄐㄧㄣ3", + "ㄐㄧㄣ4" + ], + "瑿": [ + "ㄧ1" + ], + "璀": [ + "ㄘㄨㄟ3" + ], + "璁": [ + "ㄘㄨㄥ1" + ], + "璂": [ + "ㄑㄧ2" + ], + "璃": [ + "ㄌㄧ2" + ], + "璄": [ + "ㄐㄧㄥ3" + ], + "璅": [ + "ㄙㄨㄛ3", + "ㄗㄠ3" + ], + "璆": [ + "ㄑㄧㄡ2" + ], + "璇": [ + "ㄒㄩㄢ2" + ], + "璈": [ + "ㄠ2" + ], + "璉": [ + "ㄌㄧㄢ3", + "ㄌㄧㄢ2" + ], + "璊": [ + "ㄇㄣ2" + ], + "璋": [ + "ㄓㄤ1" + ], + "璌": [ + "ㄧㄣ2" + ], + "璍": [ + "ㄧㄝ4" + ], + "璎": [ + "ㄧㄥ1" + ], + "璏": [ + "ㄨㄟ4", + "ㄓ4" + ], + "璐": [ + "ㄌㄨ4" + ], + "璑": [ + "ㄨ2" + ], + "璒": [ + "ㄉㄥ1" + ], + "璓": [ + "ㄒㄧㄡ4" + ], + "璔": [ + "ㄗㄥ1" + ], + "璕": [ + "ㄒㄩㄣ2" + ], + "璖": [ + "ㄑㄩ2" + ], + "璗": [ + "ㄉㄤ4" + ], + "璘": [ + "ㄌㄧㄣ2" + ], + "璙": [ + "ㄌㄧㄠ2" + ], + "璚": [ + "ㄑㄩㄥ2", + "ㄐㄩㄝ2" + ], + "璛": [ + "ㄙㄨ4" + ], + "璜": [ + "ㄏㄨㄤ2" + ], + "璝": [ + "ㄍㄨㄟ1" + ], + "璞": [ + "ㄆㄨ2" + ], + "璟": [ + "ㄐㄧㄥ3" + ], + "璠": [ + "ㄈㄢ2" + ], + "璡": [ + "ㄐㄧㄣ4", + "ㄐㄧㄣ1" + ], + "璢": [ + "ㄌㄧㄡ2" + ], + "璣": [ + "ㄐㄧ1" + ], + "璤": [ + "ㄏㄨㄟ4" + ], + "璥": [ + "ㄐㄧㄥ3" + ], + "璦": [ + "ㄞ4" + ], + "璧": [ + "ㄅㄧ4" + ], + "璨": [ + "ㄘㄢ4" + ], + "璩": [ + "ㄑㄩ2" + ], + "璪": [ + "ㄗㄠ3" + ], + "璫": [ + "ㄉㄤ1" + ], + "璬": [ + "ㄐㄧㄠ3" + ], + "璭": [ + "ㄍㄨㄣ4" + ], + "璮": [ + "ㄊㄢ3" + ], + "璯": [ + "ㄏㄨㄟ4", + "ㄎㄨㄞ4" + ], + "環": [ + "ㄏㄨㄢ2", + "ㄏㄨㄢ4" + ], + "璱": [ + "ㄙㄜ4" + ], + "璲": [ + "ㄙㄨㄟ4" + ], + "璳": [ + "ㄊㄧㄢ2" + ], + "璴": [ + "ㄔㄨ3" + ], + "璵": [ + "ㄩ2" + ], + "璶": [ + "ㄐㄧㄣ4" + ], + "璷": [ + "ㄌㄨ2", + "ㄈㄨ1" + ], + "璸": [ + "ㄅㄧㄣ1", + "ㄆㄧㄢ2" + ], + "璹": [ + "ㄕㄨ2" + ], + "璺": [ + "ㄨㄣ4" + ], + "璻": [ + "ㄗㄨㄟ3" + ], + "璼": [ + "ㄌㄢ2" + ], + "璽": [ + "ㄒㄧ3" + ], + "璾": [ + "ㄗ1", + "ㄐㄧ4" + ], + "璿": [ + "ㄒㄩㄢ2" + ], + "瓀": [ + "ㄖㄨㄢ3" + ], + "瓁": [ + "ㄨㄛ4" + ], + "瓂": [ + "ㄍㄞ4" + ], + "瓃": [ + "ㄌㄟ2" + ], + "瓄": [ + "ㄉㄨ2" + ], + "瓅": [ + "ㄌㄧ4" + ], + "瓆": [ + "ㄓ4" + ], + "瓇": [ + "ㄖㄡ2" + ], + "瓈": [ + "ㄌㄧ2", + "ㄌㄧ5" + ], + "瓉": [ + "ㄗㄢ4" + ], + "瓊": [ + "ㄑㄩㄥ2", + "ㄒㄩㄢ2" + ], + "瓋": [ + "ㄊㄧ4" + ], + "瓌": [ + "ㄍㄨㄟ1" + ], + "瓍": [ + "ㄙㄨㄟ2" + ], + "瓎": [ + "ㄌㄚ4" + ], + "瓏": [ + "ㄌㄨㄥ2" + ], + "瓐": [ + "ㄌㄨ2" + ], + "瓑": [ + "ㄌㄧ4" + ], + "瓒": [ + "ㄗㄢ4" + ], + "瓓": [ + "ㄌㄢ4" + ], + "瓔": [ + "ㄧㄥ1" + ], + "瓕": [ + "ㄇㄧ2", + "ㄒㄧ3" + ], + "瓖": [ + "ㄒㄧㄤ1" + ], + "瓗": [ + "ㄑㄩㄥ2", + "ㄨㄟ3", + "ㄨㄟ4" + ], + "瓘": [ + "ㄍㄨㄢ4" + ], + "瓙": [ + "ㄉㄠ4" + ], + "瓚": [ + "ㄗㄢ4" + ], + "瓛": [ + "ㄏㄨㄢ2", + "ㄧㄝ4", + "ㄧㄢ3" + ], + "瓜": [ + "ㄍㄨㄚ1" + ], + "瓝": [ + "ㄅㄛ2" + ], + "瓞": [ + "ㄉㄧㄝ2" + ], + "瓟": [ + "ㄅㄛ2", + "ㄆㄠ2" + ], + "瓠": [ + "ㄏㄨ4", + "ㄏㄨ2", + "ㄏㄨㄛ4", + "ㄍㄨ1" + ], + "瓡": [ + "ㄓ2", + "ㄏㄨ2" + ], + "瓢": [ + "ㄆㄧㄠ2" + ], + "瓣": [ + "ㄅㄢ4" + ], + "瓤": [ + "ㄖㄤ2" + ], + "瓥": [ + "ㄌㄧ4" + ], + "瓦": [ + "ㄨㄚ3", + "ㄨㄚ4" + ], + "瓨": [ + "ㄒㄧㄤ2", + "ㄏㄨㄥ2" + ], + "瓩": [ + "ㄑㄧㄢ1", + "ㄨㄚ3" + ], + "瓪": [ + "ㄅㄢ3" + ], + "瓫": [ + "ㄆㄣ2" + ], + "瓬": [ + "ㄈㄤ3" + ], + "瓭": [ + "ㄉㄢ3", + "ㄉㄢ1" + ], + "瓮": [ + "ㄨㄥ4" + ], + "瓯": [ + "ㄡ1" + ], + "瓲": [ + "ㄨㄚ5" + ], + "瓳": [ + "ㄏㄨ2" + ], + "瓴": [ + "ㄌㄧㄥ2" + ], + "瓵": [ + "ㄧ2" + ], + "瓶": [ + "ㄆㄧㄥ2" + ], + "瓷": [ + "ㄘ2" + ], + "瓸": [ + "ㄅㄞ3" + ], + "瓹": [ + "ㄐㄩㄢ1", + "ㄐㄩㄢ4" + ], + "瓺": [ + "ㄔㄤ2" + ], + "瓻": [ + "ㄔ1" + ], + "瓽": [ + "ㄉㄤ4" + ], + "瓾": [ + "ㄇㄥ3" + ], + "瓿": [ + "ㄅㄨ4", + "ㄆㄡ3" + ], + "甀": [ + "ㄓㄨㄟ4" + ], + "甁": [ + "ㄆㄧㄥ2" + ], + "甂": [ + "ㄅㄧㄢ1" + ], + "甃": [ + "ㄓㄡ4" + ], + "甄": [ + "ㄓㄣ1", + "ㄓㄣ4", + "ㄐㄩㄢ4" + ], + "甆": [ + "ㄘ2" + ], + "甇": [ + "ㄧㄥ1" + ], + "甈": [ + "ㄑㄧ4" + ], + "甉": [ + "ㄒㄧㄢ2" + ], + "甊": [ + "ㄌㄡ3" + ], + "甋": [ + "ㄉㄧ4" + ], + "甌": [ + "ㄡ1", + "ㄡ3" + ], + "甍": [ + "ㄇㄥ2" + ], + "甎": [ + "ㄓㄨㄢ1", + "ㄔㄨㄢ2" + ], + "甏": [ + "ㄅㄥ4" + ], + "甐": [ + "ㄌㄧㄣ4" + ], + "甑": [ + "ㄗㄥ4" + ], + "甒": [ + "ㄨ3" + ], + "甓": [ + "ㄆㄧ4" + ], + "甔": [ + "ㄉㄢ1", + "ㄉㄢ4" + ], + "甕": [ + "ㄨㄥ4" + ], + "甖": [ + "ㄧㄥ1" + ], + "甗": [ + "ㄧㄢ3" + ], + "甘": [ + "ㄍㄢ1", + "ㄏㄢ1" + ], + "甙": [ + "ㄉㄞ4" + ], + "甚": [ + "ㄕㄣ2", + "ㄕㄣ4" + ], + "甛": [ + "ㄊㄧㄢ2" + ], + "甜": [ + "ㄊㄧㄢ2" + ], + "甝": [ + "ㄏㄢ2" + ], + "甞": [ + "ㄔㄤ2" + ], + "生": [ + "ㄕㄥ1" + ], + "甠": [ + "ㄑㄧㄥ2" + ], + "甡": [ + "ㄕㄣ1" + ], + "產": [ + "ㄔㄢ3" + ], + "産": [ + "ㄔㄢ3" + ], + "甤": [ + "ㄖㄨㄟ2" + ], + "甥": [ + "ㄕㄥ1" + ], + "甦": [ + "ㄙㄨ1" + ], + "甧": [ + "ㄕㄣ1" + ], + "用": [ + "ㄩㄥ4" + ], + "甩": [ + "ㄕㄨㄞ3" + ], + "甪": [ + "ㄌㄨ4" + ], + "甫": [ + "ㄈㄨ3", + "ㄈㄨ1", + "ㄆㄨ3" + ], + "甬": [ + "ㄩㄥ3", + "ㄉㄨㄥ4" + ], + "甭": [ + "ㄅㄥ2", + "ㄑㄧ4" + ], + "甮": [ + "ㄈㄥ4" + ], + "甯": [ + "ㄋㄧㄥ2", + "ㄋㄧㄥ4" + ], + "田": [ + "ㄊㄧㄢ2" + ], + "由": [ + "ㄧㄡ2", + "ㄧㄠ1" + ], + "甲": [ + "ㄐㄧㄚ3" + ], + "申": [ + "ㄕㄣ1" + ], + "甴": [ + "ㄓㄚ2", + "ㄧㄡ2" + ], + "电": [ + "ㄉㄧㄢ4" + ], + "甶": [ + "ㄈㄨ2" + ], + "男": [ + "ㄋㄢ2" + ], + "甸": [ + "ㄉㄧㄢ1", + "ㄉㄧㄢ4", + "ㄊㄧㄢ2", + "ㄕㄥ4", + "ㄧㄥ4" + ], + "甹": [ + "ㄆㄧㄥ1" + ], + "町": [ + "ㄊㄧㄥ1", + "ㄉㄧㄥ1", + "ㄊㄧㄥ3", + "ㄓㄥ4", + "ㄊㄧㄢ3" + ], + "画": [ + "ㄏㄨㄚ4" + ], + "甼": [ + "ㄊㄧㄥ3" + ], + "甽": [ + "ㄓㄣ4", + "ㄑㄩㄢ3", + "ㄓㄨㄣ4" + ], + "甾": [ + "ㄗㄞ1", + "ㄗ1" + ], + "甿": [ + "ㄇㄥ2", + "ㄇㄤ2" + ], + "畀": [ + "ㄅㄧ4" + ], + "畁": [ + "ㄅㄧ4" + ], + "畂": [ + "ㄌㄧㄡ4" + ], + "畃": [ + "ㄒㄩㄣ2" + ], + "畄": [ + "ㄌㄧㄡ2" + ], + "畅": [ + "ㄔㄤ4" + ], + "畆": [ + "ㄇㄨ3" + ], + "畇": [ + "ㄩㄣ2", + "ㄊㄧㄢ2" + ], + "畈": [ + "ㄈㄢ4" + ], + "畉": [ + "ㄈㄨ2" + ], + "畊": [ + "ㄍㄥ1" + ], + "畋": [ + "ㄊㄧㄢ2" + ], + "界": [ + "ㄐㄧㄝ4" + ], + "畍": [ + "ㄐㄧㄝ4" + ], + "畎": [ + "ㄑㄩㄢ3" + ], + "畏": [ + "ㄨㄟ4", + "ㄨㄟ1", + "ㄨㄟ3" + ], + "畐": [ + "ㄈㄨ2", + "ㄅㄧ4" + ], + "畑": [ + "ㄊㄧㄢ2" + ], + "畒": [ + "ㄇㄨ3" + ], + "畓": [ + "ㄉㄨㄛ1" + ], + "畔": [ + "ㄆㄢ4" + ], + "畕": [ + "ㄐㄧㄤ1" + ], + "畖": [ + "ㄨㄚ1" + ], + "畗": [ + "ㄉㄚ2", + "ㄈㄨ2" + ], + "畘": [ + "ㄋㄢ2" + ], + "留": [ + "ㄌㄧㄡ2", + "ㄌㄧㄡ4", + "ㄌㄧㄡ3" + ], + "畚": [ + "ㄅㄣ3" + ], + "畛": [ + "ㄓㄣ3" + ], + "畜": [ + "ㄔㄨ4", + "ㄒㄩ4" + ], + "畝": [ + "ㄇㄨ3", + "ㄇㄡ3" + ], + "畞": [ + "ㄇㄨ3" + ], + "畟": [ + "ㄘㄜ4", + "ㄐㄧ4" + ], + "畠": [ + "ㄊㄧㄢ2" + ], + "畡": [ + "ㄍㄞ1" + ], + "畢": [ + "ㄅㄧ4" + ], + "畣": [ + "ㄉㄚ2" + ], + "畤": [ + "ㄓ4", + "ㄔㄡ2", + "ㄕ4" + ], + "略": [ + "ㄌㄩㄝ4" + ], + "畦": [ + "ㄑㄧ2" + ], + "畧": [ + "ㄌㄩㄝ4" + ], + "畨": [ + "ㄆㄢ1", + "ㄈㄢ1" + ], + "畩": [ + "ㄧ1" + ], + "番": [ + "ㄈㄢ1", + "ㄆㄢ1", + "ㄈㄢ2", + "ㄅㄛ1", + "ㄆㄛ2", + "ㄆㄢ2", + "ㄆㄢ4", + "ㄆㄧ2" + ], + "畫": [ + "ㄏㄨㄚ4" + ], + "畬": [ + "ㄕㄜ1", + "ㄩ2" + ], + "畭": [ + "ㄩ2" + ], + "畮": [ + "ㄇㄨ3" + ], + "畯": [ + "ㄐㄩㄣ4" + ], + "異": [ + "ㄧ4" + ], + "畱": [ + "ㄌㄧㄡ2" + ], + "畲": [ + "ㄕㄜ1" + ], + "畳": [ + "ㄉㄧㄝ2" + ], + "畴": [ + "ㄔㄡ2" + ], + "畵": [ + "ㄏㄨㄚ4" + ], + "當": [ + "ㄉㄤ1", + "ㄉㄤ4", + "ㄉㄤ5" + ], + "畷": [ + "ㄓㄨㄟ4" + ], + "畸": [ + "ㄐㄧ1", + "ㄑㄧ2" + ], + "畹": [ + "ㄨㄢ3", + "ㄩㄢ3" + ], + "畺": [ + "ㄐㄧㄤ1", + "ㄐㄧㄤ4" + ], + "畻": [ + "ㄔㄥ2" + ], + "畼": [ + "ㄔㄤ4" + ], + "畽": [ + "ㄊㄨㄣ3", + "ㄊㄨㄢ3" + ], + "畾": [ + "ㄌㄟ2" + ], + "畿": [ + "ㄐㄧ1" + ], + "疀": [ + "ㄔㄚ1" + ], + "疁": [ + "ㄌㄧㄡ2" + ], + "疂": [ + "ㄉㄧㄝ2" + ], + "疃": [ + "ㄊㄨㄢ3" + ], + "疄": [ + "ㄌㄧㄣ4", + "ㄌㄧㄣ2" + ], + "疅": [ + "ㄐㄧㄤ1" + ], + "疆": [ + "ㄐㄧㄤ1", + "ㄐㄧㄤ4" + ], + "疇": [ + "ㄔㄡ2" + ], + "疈": [ + "ㄆㄧ4" + ], + "疉": [ + "ㄉㄧㄝ2" + ], + "疊": [ + "ㄉㄧㄝ2" + ], + "疋": [ + "ㄆㄧ3", + "ㄕㄨ1", + "ㄧㄚ3" + ], + "疌": [ + "ㄐㄧㄝ2", + "ㄑㄧㄝ4" + ], + "疍": [ + "ㄉㄢ4" + ], + "疎": [ + "ㄕㄨ1" + ], + "疏": [ + "ㄕㄨ1" + ], + "疐": [ + "ㄓ4", + "ㄉㄧ4" + ], + "疑": [ + "ㄧ2", + "ㄋㄧㄥ2" + ], + "疒": [ + "ㄋㄜ4" + ], + "疓": [ + "ㄋㄞ3" + ], + "疔": [ + "ㄉㄧㄥ1", + "ㄋㄜ4" + ], + "疕": [ + "ㄅㄧ3" + ], + "疖": [ + "ㄐㄧㄝ1" + ], + "疗": [ + "ㄌㄧㄠ2" + ], + "疘": [ + "ㄍㄤ1", + "ㄍㄨㄥ1" + ], + "疙": [ + "ㄍㄜ1", + "ㄧ4" + ], + "疚": [ + "ㄐㄧㄡ4" + ], + "疛": [ + "ㄓㄡ3" + ], + "疜": [ + "ㄒㄧㄚ4" + ], + "疝": [ + "ㄕㄢ4" + ], + "疞": [ + "ㄒㄩ1" + ], + "疟": [ + "ㄋㄩㄝ4", + "ㄧㄠ4" + ], + "疠": [ + "ㄌㄧ4" + ], + "疡": [ + "ㄧㄤ2" + ], + "疢": [ + "ㄔㄣ4" + ], + "疣": [ + "ㄧㄡ2", + "ㄧㄡ4" + ], + "疤": [ + "ㄅㄚ1" + ], + "疥": [ + "ㄐㄧㄝ4" + ], + "疦": [ + "ㄐㄩㄝ2", + "ㄒㄩㄝ4" + ], + "疧": [ + "ㄑㄧ2" + ], + "疨": [ + "ㄒㄧㄚ1", + "ㄧㄚ2" + ], + "疩": [ + "ㄘㄨㄟ4" + ], + "疪": [ + "ㄅㄧ4" + ], + "疫": [ + "ㄧ4" + ], + "疬": [ + "ㄌㄧ4" + ], + "疭": [ + "ㄗㄨㄥ4" + ], + "疮": [ + "ㄔㄨㄤ1" + ], + "疯": [ + "ㄈㄥ1" + ], + "疰": [ + "ㄓㄨ4" + ], + "疱": [ + "ㄆㄠ4" + ], + "疲": [ + "ㄆㄧ2" + ], + "疳": [ + "ㄍㄢ1" + ], + "疴": [ + "ㄎㄜ1", + "ㄜ1", + "ㄑㄧㄚ4" + ], + "疵": [ + "ㄘ1", + "ㄗ1", + "ㄓㄞ4", + "ㄐㄧ4" + ], + "疶": [ + "ㄒㄩㄝ1" + ], + "疷": [ + "ㄓ1" + ], + "疸": [ + "ㄉㄢ3", + "ㄉㄚ5" + ], + "疹": [ + "ㄓㄣ3", + "ㄔㄣ4" + ], + "疺": [ + "ㄈㄚ2", + "ㄅㄧㄢ3" + ], + "疻": [ + "ㄓ3" + ], + "疼": [ + "ㄊㄥ2" + ], + "疽": [ + "ㄐㄩ1", + "ㄐㄩ3" + ], + "疾": [ + "ㄐㄧ2" + ], + "疿": [ + "ㄈㄟ4" + ], + "痀": [ + "ㄐㄩ1", + "ㄍㄡ1" + ], + "痁": [ + "ㄕㄢ1" + ], + "痂": [ + "ㄐㄧㄚ1" + ], + "痃": [ + "ㄒㄩㄢ2" + ], + "痄": [ + "ㄓㄚ4" + ], + "病": [ + "ㄅㄧㄥ4" + ], + "痆": [ + "ㄋㄧㄝ4", + "ㄋㄧ4", + "ㄋㄧㄢ3" + ], + "症": [ + "ㄓㄥ4", + "ㄓㄥ1" + ], + "痈": [ + "ㄩㄥ1" + ], + "痉": [ + "ㄐㄧㄥ4" + ], + "痊": [ + "ㄑㄩㄢ2" + ], + "痋": [ + "ㄊㄥ2", + "ㄔㄨㄥ2" + ], + "痌": [ + "ㄊㄨㄥ1", + "ㄊㄨㄥ2" + ], + "痍": [ + "ㄧ2" + ], + "痎": [ + "ㄐㄧㄝ1" + ], + "痏": [ + "ㄨㄟ3", + "ㄧㄡ4", + "ㄩ4" + ], + "痐": [ + "ㄏㄨㄟ2" + ], + "痑": [ + "ㄊㄢ1", + "ㄕ3" + ], + "痒": [ + "ㄧㄤ3", + "ㄧㄤ2" + ], + "痓": [ + "ㄔ4" + ], + "痔": [ + "ㄓ4" + ], + "痕": [ + "ㄏㄣ2", + "ㄍㄣ4" + ], + "痖": [ + "ㄧㄚ3" + ], + "痗": [ + "ㄇㄟ4" + ], + "痘": [ + "ㄉㄡ4" + ], + "痙": [ + "ㄐㄧㄥ4" + ], + "痚": [ + "ㄒㄧㄠ1" + ], + "痛": [ + "ㄊㄨㄥ4" + ], + "痜": [ + "ㄊㄨ1" + ], + "痝": [ + "ㄇㄤ2" + ], + "痞": [ + "ㄆㄧ3" + ], + "痟": [ + "ㄒㄧㄠ1" + ], + "痠": [ + "ㄙㄨㄢ1" + ], + "痡": [ + "ㄈㄨ1", + "ㄆㄨ1", + "ㄆㄨ4" + ], + "痢": [ + "ㄌㄧ4" + ], + "痣": [ + "ㄓ4" + ], + "痤": [ + "ㄘㄨㄛ2" + ], + "痥": [ + "ㄉㄨㄛ2" + ], + "痦": [ + "ㄨ4", + "ㄆㄧ1" + ], + "痧": [ + "ㄕㄚ1" + ], + "痨": [ + "ㄌㄠ2" + ], + "痩": [ + "ㄕㄡ4" + ], + "痪": [ + "ㄏㄨㄢ4", + "ㄊㄨㄢ3" + ], + "痫": [ + "ㄒㄧㄢ2" + ], + "痬": [ + "ㄧ4" + ], + "痭": [ + "ㄅㄥ1", + "ㄆㄥ2", + "ㄅㄧㄥ4" + ], + "痮": [ + "ㄓㄤ4" + ], + "痯": [ + "ㄍㄨㄢ3" + ], + "痰": [ + "ㄊㄢ2" + ], + "痱": [ + "ㄈㄟ4", + "ㄈㄟ2", + "ㄈㄟ3" + ], + "痲": [ + "ㄇㄚ2" + ], + "痳": [ + "ㄌㄧㄣ2", + "ㄌㄧㄣ4" + ], + "痴": [ + "ㄔ1" + ], + "痵": [ + "ㄐㄧ4" + ], + "痶": [ + "ㄊㄧㄢ3", + "ㄉㄧㄢ3" + ], + "痷": [ + "ㄢ1", + "ㄧㄝ4", + "ㄜ4" + ], + "痸": [ + "ㄔ4" + ], + "痹": [ + "ㄅㄧ4" + ], + "痺": [ + "ㄅㄧ4" + ], + "痻": [ + "ㄇㄧㄣ2" + ], + "痼": [ + "ㄍㄨ4" + ], + "痽": [ + "ㄉㄨㄟ1" + ], + "痾": [ + "ㄜ1", + "ㄎㄜ1" + ], + "痿": [ + "ㄨㄟ3" + ], + "瘀": [ + "ㄩ1" + ], + "瘁": [ + "ㄘㄨㄟ4" + ], + "瘂": [ + "ㄧㄚ3" + ], + "瘃": [ + "ㄓㄨ2" + ], + "瘄": [ + "ㄘㄨ4" + ], + "瘅": [ + "ㄉㄢ1", + "ㄉㄢ4" + ], + "瘆": [ + "ㄕㄣ4" + ], + "瘇": [ + "ㄓㄨㄥ3" + ], + "瘈": [ + "ㄔ4", + "ㄓ4" + ], + "瘉": [ + "ㄩ4" + ], + "瘊": [ + "ㄏㄡ2" + ], + "瘋": [ + "ㄈㄥ1" + ], + "瘌": [ + "ㄌㄚ4" + ], + "瘍": [ + "ㄧㄤ2", + "ㄉㄤ4" + ], + "瘎": [ + "ㄔㄣ2" + ], + "瘏": [ + "ㄊㄨ2" + ], + "瘐": [ + "ㄩ3", + "ㄩ4" + ], + "瘑": [ + "ㄍㄨㄛ1" + ], + "瘒": [ + "ㄨㄣ2" + ], + "瘓": [ + "ㄏㄨㄢ4" + ], + "瘔": [ + "ㄎㄨ4" + ], + "瘕": [ + "ㄐㄧㄚ3", + "ㄒㄧㄚ1" + ], + "瘖": [ + "ㄧㄣ1", + "ㄧㄣ4" + ], + "瘗": [ + "ㄧ4" + ], + "瘘": [ + "ㄌㄡ4" + ], + "瘙": [ + "ㄙㄠ4" + ], + "瘚": [ + "ㄐㄩㄝ2" + ], + "瘛": [ + "ㄔ4" + ], + "瘜": [ + "ㄒㄧ1" + ], + "瘝": [ + "ㄍㄨㄢ1" + ], + "瘞": [ + "ㄧ4" + ], + "瘟": [ + "ㄨㄣ1", + "ㄨㄛ4", + "ㄩㄣ1" + ], + "瘠": [ + "ㄐㄧ2" + ], + "瘡": [ + "ㄔㄨㄤ1" + ], + "瘢": [ + "ㄅㄢ1" + ], + "瘣": [ + "ㄏㄨㄟ4", + "ㄌㄟ3" + ], + "瘤": [ + "ㄌㄧㄡ2" + ], + "瘥": [ + "ㄔㄞ4", + "ㄘㄨㄛ2" + ], + "瘦": [ + "ㄕㄡ4" + ], + "瘧": [ + "ㄋㄩㄝ4", + "ㄧㄠ4" + ], + "瘨": [ + "ㄉㄧㄢ1", + "ㄔㄣ1" + ], + "瘩": [ + "ㄉㄚ1", + "ㄉㄚ5", + "ㄉㄚ2" + ], + "瘪": [ + "ㄅㄧㄝ3", + "ㄅㄧㄝ1" + ], + "瘫": [ + "ㄊㄢ1" + ], + "瘬": [ + "ㄓㄤ4" + ], + "瘭": [ + "ㄅㄧㄠ1" + ], + "瘮": [ + "ㄕㄣ4" + ], + "瘯": [ + "ㄘㄨ4" + ], + "瘰": [ + "ㄌㄨㄛ3" + ], + "瘱": [ + "ㄧ4" + ], + "瘲": [ + "ㄗㄨㄥ4" + ], + "瘳": [ + "ㄔㄡ1", + "ㄌㄨ4" + ], + "瘴": [ + "ㄓㄤ4" + ], + "瘵": [ + "ㄓㄞ4", + "ㄐㄧ4" + ], + "瘶": [ + "ㄙㄡ4" + ], + "瘷": [ + "ㄙㄜ4" + ], + "瘸": [ + "ㄑㄩㄝ2" + ], + "瘹": [ + "ㄉㄧㄠ4" + ], + "瘺": [ + "ㄌㄡ4" + ], + "瘻": [ + "ㄌㄡ4", + "ㄌㄩ2" + ], + "瘼": [ + "ㄇㄛ4" + ], + "瘽": [ + "ㄑㄧㄣ2" + ], + "瘾": [ + "ㄧㄣ3" + ], + "瘿": [ + "ㄧㄥ3" + ], + "癀": [ + "ㄏㄨㄤ2" + ], + "癁": [ + "ㄈㄨ2" + ], + "療": [ + "ㄌㄧㄠ2", + "ㄌㄧㄠ4", + "ㄕㄨㄛ4" + ], + "癃": [ + "ㄌㄨㄥ2" + ], + "癄": [ + "ㄑㄧㄠ2" + ], + "癅": [ + "ㄌㄧㄡ2" + ], + "癆": [ + "ㄌㄠ2", + "ㄌㄠ4" + ], + "癇": [ + "ㄒㄧㄢ2" + ], + "癈": [ + "ㄈㄟ4" + ], + "癉": [ + "ㄉㄢ1", + "ㄉㄢ4", + "ㄉㄢ3", + "ㄊㄢ2" + ], + "癊": [ + "ㄧㄣ4" + ], + "癋": [ + "ㄏㄜ4" + ], + "癌": [ + "ㄞ2", + "ㄧㄢ2" + ], + "癍": [ + "ㄅㄢ1" + ], + "癎": [ + "ㄒㄧㄢ2" + ], + "癏": [ + "ㄍㄨㄢ1" + ], + "癐": [ + "ㄍㄨㄟ4", + "ㄨㄟ1" + ], + "癑": [ + "ㄋㄨㄥ4", + "ㄋㄨㄥ2" + ], + "癒": [ + "ㄩ4" + ], + "癓": [ + "ㄨㄟ2" + ], + "癔": [ + "ㄧ4" + ], + "癕": [ + "ㄩㄥ1" + ], + "癖": [ + "ㄆㄧ3" + ], + "癗": [ + "ㄌㄟ3" + ], + "癘": [ + "ㄌㄧ4", + "ㄌㄞ4" + ], + "癙": [ + "ㄕㄨ3" + ], + "癚": [ + "ㄉㄢ4" + ], + "癛": [ + "ㄌㄧㄣ3", + "ㄅㄧㄥ3" + ], + "癜": [ + "ㄉㄧㄢ4" + ], + "癝": [ + "ㄌㄧㄣ3" + ], + "癞": [ + "ㄌㄞ4" + ], + "癟": [ + "ㄅㄧㄝ3", + "ㄅㄧㄝ2", + "ㄅㄧㄝ1" + ], + "癠": [ + "ㄐㄧ4" + ], + "癡": [ + "ㄔ1" + ], + "癢": [ + "ㄧㄤ3" + ], + "癣": [ + "ㄒㄩㄢ3" + ], + "癤": [ + "ㄐㄧㄝ1" + ], + "癥": [ + "ㄓㄥ1" + ], + "癦": [ + "ㄇㄜ5" + ], + "癧": [ + "ㄌㄧ4" + ], + "癨": [ + "ㄏㄨㄛ4" + ], + "癩": [ + "ㄌㄞ4", + "ㄌㄚ4" + ], + "癪": [ + "ㄐㄧ1" + ], + "癫": [ + "ㄉㄧㄢ1" + ], + "癬": [ + "ㄒㄩㄢ3" + ], + "癭": [ + "ㄧㄥ3" + ], + "癮": [ + "ㄧㄣ3" + ], + "癯": [ + "ㄑㄩ2" + ], + "癰": [ + "ㄩㄥ1" + ], + "癱": [ + "ㄊㄢ1" + ], + "癲": [ + "ㄉㄧㄢ1" + ], + "癳": [ + "ㄌㄨㄛ3" + ], + "癴": [ + "ㄌㄨㄢ2" + ], + "癵": [ + "ㄌㄨㄢ2" + ], + "癶": [ + "ㄅㄛ1" + ], + "癷": [ + "ㄅㄛ1" + ], + "癸": [ + "ㄍㄨㄟ3" + ], + "癹": [ + "ㄅㄚ2" + ], + "発": [ + "ㄈㄚ1" + ], + "登": [ + "ㄉㄥ1", + "ㄉㄜ2" + ], + "發": [ + "ㄈㄚ1", + "ㄅㄛ1" + ], + "白": [ + "ㄅㄞ2", + "ㄅㄛ2" + ], + "百": [ + "ㄅㄞ3", + "ㄅㄛ2", + "ㄇㄛ4" + ], + "癿": [ + "ㄑㄧㄝ2", + "ㄅㄧㄝ2" + ], + "皀": [ + "ㄐㄧ2", + "ㄒㄧㄤ1", + "ㄅㄧ1" + ], + "皁": [ + "ㄗㄠ4" + ], + "皂": [ + "ㄗㄠ4" + ], + "皃": [ + "ㄇㄠ4" + ], + "的": [ + "ㄉㄜ5", + "ㄉㄧ1", + "ㄉㄧ2", + "ㄉㄧ4" + ], + "皅": [ + "ㄆㄚ1", + "ㄅㄚ4" + ], + "皆": [ + "ㄐㄧㄝ1" + ], + "皇": [ + "ㄏㄨㄤ2", + "ㄨㄤ3" + ], + "皈": [ + "ㄍㄨㄟ1" + ], + "皉": [ + "ㄘ3" + ], + "皊": [ + "ㄌㄧㄥ2" + ], + "皋": [ + "ㄍㄠ1", + "ㄏㄠ2", + "ㄍㄨ1" + ], + "皌": [ + "ㄇㄛ4" + ], + "皍": [ + "ㄐㄧ2" + ], + "皎": [ + "ㄐㄧㄠ3" + ], + "皏": [ + "ㄆㄥ3" + ], + "皐": [ + "ㄍㄠ1" + ], + "皑": [ + "ㄞ2" + ], + "皒": [ + "ㄜ2" + ], + "皓": [ + "ㄏㄠ4", + "ㄏㄨㄟ1" + ], + "皔": [ + "ㄏㄢ4" + ], + "皕": [ + "ㄅㄧ4" + ], + "皖": [ + "ㄨㄢ3", + "ㄏㄨㄢ4" + ], + "皗": [ + "ㄔㄡ2" + ], + "皘": [ + "ㄑㄧㄢ4" + ], + "皙": [ + "ㄒㄧ1" + ], + "皚": [ + "ㄞ2" + ], + "皛": [ + "ㄒㄧㄠ3", + "ㄐㄧㄠ3", + "ㄆㄛ4" + ], + "皜": [ + "ㄏㄠ4" + ], + "皝": [ + "ㄏㄨㄤ4" + ], + "皞": [ + "ㄏㄠ4" + ], + "皟": [ + "ㄗㄜ2" + ], + "皠": [ + "ㄘㄨㄟ3" + ], + "皡": [ + "ㄏㄠ4" + ], + "皢": [ + "ㄒㄧㄠ3" + ], + "皣": [ + "ㄧㄝ4" + ], + "皤": [ + "ㄆㄛ2", + "ㄆㄢ2" + ], + "皥": [ + "ㄏㄠ4" + ], + "皦": [ + "ㄐㄧㄠ3" + ], + "皧": [ + "ㄞ4" + ], + "皨": [ + "ㄒㄧㄥ1" + ], + "皩": [ + "ㄏㄨㄤ4" + ], + "皪": [ + "ㄌㄧ4", + "ㄌㄨㄛ4", + "ㄅㄛ1" + ], + "皫": [ + "ㄆㄧㄠ3" + ], + "皬": [ + "ㄏㄜ2" + ], + "皭": [ + "ㄐㄧㄠ4" + ], + "皮": [ + "ㄆㄧ2" + ], + "皯": [ + "ㄍㄢ3" + ], + "皰": [ + "ㄆㄠ4" + ], + "皱": [ + "ㄓㄡ4" + ], + "皲": [ + "ㄐㄩㄣ1" + ], + "皳": [ + "ㄑㄧㄡ2" + ], + "皴": [ + "ㄘㄨㄣ1" + ], + "皵": [ + "ㄑㄩㄝ4" + ], + "皶": [ + "ㄓㄚ1" + ], + "皷": [ + "ㄍㄨ3" + ], + "皸": [ + "ㄐㄩㄣ1" + ], + "皹": [ + "ㄐㄩㄣ1" + ], + "皺": [ + "ㄓㄡ4", + "ㄓㄡ1" + ], + "皻": [ + "ㄓㄚ1", + "ㄘㄨ3" + ], + "皼": [ + "ㄍㄨ3" + ], + "皽": [ + "ㄓㄠ1", + "ㄓㄢ3", + "ㄉㄢ3" + ], + "皾": [ + "ㄉㄨ2" + ], + "皿": [ + "ㄇㄧㄣ3", + "ㄇㄧㄥ3" + ], + "盀": [ + "ㄑㄧ3" + ], + "盁": [ + "ㄧㄥ2" + ], + "盂": [ + "ㄩ2" + ], + "盃": [ + "ㄅㄟ1" + ], + "盄": [ + "ㄓㄠ1" + ], + "盅": [ + "ㄓㄨㄥ1", + "ㄔㄨㄥ1" + ], + "盆": [ + "ㄆㄣ2" + ], + "盇": [ + "ㄏㄜ2" + ], + "盈": [ + "ㄧㄥ2" + ], + "盉": [ + "ㄏㄜ2" + ], + "益": [ + "ㄧ4" + ], + "盋": [ + "ㄅㄛ1" + ], + "盌": [ + "ㄨㄢ3" + ], + "盍": [ + "ㄏㄜ2", + "ㄎㄜ3" + ], + "盎": [ + "ㄤ4" + ], + "盏": [ + "ㄓㄢ3" + ], + "盐": [ + "ㄧㄢ2" + ], + "监": [ + "ㄐㄧㄢ1", + "ㄐㄧㄢ4" + ], + "盒": [ + "ㄏㄜ2", + "ㄢ1" + ], + "盓": [ + "ㄩ1", + "ㄨ1" + ], + "盔": [ + "ㄎㄨㄟ1" + ], + "盕": [ + "ㄈㄢ4" + ], + "盖": [ + "ㄍㄞ4", + "ㄍㄜ3" + ], + "盗": [ + "ㄉㄠ4" + ], + "盘": [ + "ㄆㄢ2" + ], + "盙": [ + "ㄈㄨ3" + ], + "盚": [ + "ㄑㄧㄡ2" + ], + "盛": [ + "ㄕㄥ4", + "ㄔㄥ2" + ], + "盜": [ + "ㄉㄠ4" + ], + "盝": [ + "ㄌㄨ4" + ], + "盞": [ + "ㄓㄢ3" + ], + "盟": [ + "ㄇㄥ2", + "ㄇㄥ4", + "ㄇㄧㄥ2" + ], + "盠": [ + "ㄌㄧ2" + ], + "盡": [ + "ㄐㄧㄣ3", + "ㄐㄧㄣ4" + ], + "盢": [ + "ㄒㄩ4" + ], + "監": [ + "ㄐㄧㄢ1", + "ㄐㄧㄢ4", + "ㄎㄢ4" + ], + "盤": [ + "ㄆㄢ2", + "ㄒㄩㄢ2" + ], + "盥": [ + "ㄍㄨㄢ4" + ], + "盦": [ + "ㄢ1" + ], + "盧": [ + "ㄌㄨ2", + "ㄌㄩ2", + "ㄌㄟ2" + ], + "盨": [ + "ㄒㄩ3" + ], + "盩": [ + "ㄓㄡ1", + "ㄔㄡ2" + ], + "盪": [ + "ㄉㄤ4" + ], + "盫": [ + "ㄢ1" + ], + "盬": [ + "ㄍㄨ3", + "ㄍㄨ4", + "ㄍㄨ1" + ], + "盭": [ + "ㄌㄧ4" + ], + "目": [ + "ㄇㄨ4" + ], + "盯": [ + "ㄉㄧㄥ1", + "ㄔㄥ2" + ], + "盰": [ + "ㄍㄢ4" + ], + "盱": [ + "ㄒㄩ1" + ], + "盲": [ + "ㄇㄤ2" + ], + "盳": [ + "ㄨㄤ4", + "ㄇㄤ2" + ], + "直": [ + "ㄓ2" + ], + "盵": [ + "ㄑㄧ4" + ], + "盶": [ + "ㄩㄢ3" + ], + "盷": [ + "ㄊㄧㄢ2", + "ㄒㄧㄢ2", + "ㄇㄧㄣ2" + ], + "相": [ + "ㄒㄧㄤ1", + "ㄒㄧㄤ4" + ], + "盹": [ + "ㄉㄨㄣ3", + "ㄓㄨㄣ1" + ], + "盺": [ + "ㄒㄧㄣ1" + ], + "盻": [ + "ㄒㄧ4", + "ㄆㄢ3" + ], + "盼": [ + "ㄆㄢ4", + "ㄈㄣ2" + ], + "盽": [ + "ㄈㄥ1" + ], + "盾": [ + "ㄉㄨㄣ4", + "ㄕㄨㄣ3", + "ㄩㄣ3" + ], + "盿": [ + "ㄇㄧㄣ2" + ], + "眀": [ + "ㄇㄧㄥ2" + ], + "省": [ + "ㄕㄥ3", + "ㄒㄧㄥ3", + "ㄒㄧㄢ3" + ], + "眂": [ + "ㄕ4" + ], + "眃": [ + "ㄩㄣ2", + "ㄏㄨㄣ4" + ], + "眄": [ + "ㄇㄧㄢ3", + "ㄇㄧㄢ4" + ], + "眅": [ + "ㄆㄢ1" + ], + "眆": [ + "ㄈㄤ3" + ], + "眇": [ + "ㄇㄧㄠ3", + "ㄇㄧㄠ4" + ], + "眈": [ + "ㄉㄢ1", + "ㄔㄣ3" + ], + "眉": [ + "ㄇㄟ2" + ], + "眊": [ + "ㄇㄠ4", + "ㄇㄟ4" + ], + "看": [ + "ㄎㄢ4", + "ㄎㄢ1" + ], + "県": [ + "ㄒㄧㄢ4" + ], + "眍": [ + "ㄎㄡ1" + ], + "眎": [ + "ㄕ4" + ], + "眏": [ + "ㄧㄤ1", + "ㄧㄤ3", + "ㄧㄥ4" + ], + "眐": [ + "ㄓㄥ1" + ], + "眑": [ + "ㄧㄠ3", + "ㄠ1", + "ㄠ3" + ], + "眒": [ + "ㄕㄣ1" + ], + "眓": [ + "ㄏㄨㄛ4" + ], + "眔": [ + "ㄉㄚ4" + ], + "眕": [ + "ㄓㄣ3" + ], + "眖": [ + "ㄎㄨㄤ4" + ], + "眗": [ + "ㄐㄩ1", + "ㄒㄩ1", + "ㄎㄡ1" + ], + "眘": [ + "ㄕㄣ4" + ], + "眙": [ + "ㄧ2", + "ㄔ4" + ], + "眚": [ + "ㄕㄥ3" + ], + "眛": [ + "ㄇㄟ4" + ], + "眜": [ + "ㄇㄛ4", + "ㄇㄧㄝ4" + ], + "眝": [ + "ㄓㄨ4" + ], + "眞": [ + "ㄓㄣ1" + ], + "真": [ + "ㄓㄣ1" + ], + "眠": [ + "ㄇㄧㄢ2", + "ㄇㄧㄢ3", + "ㄇㄧㄣ3" + ], + "眡": [ + "ㄕ4" + ], + "眢": [ + "ㄩㄢ1" + ], + "眣": [ + "ㄉㄧㄝ2", + "ㄔㄡ1" + ], + "眤": [ + "ㄋㄧ4" + ], + "眥": [ + "ㄗ4" + ], + "眦": [ + "ㄗ4" + ], + "眧": [ + "ㄔㄠ3" + ], + "眨": [ + "ㄓㄚ3" + ], + "眩": [ + "ㄒㄩㄢ4", + "ㄏㄨㄢ4", + "ㄐㄩㄢ4" + ], + "眪": [ + "ㄅㄧㄥ3", + "ㄈㄤ3" + ], + "眫": [ + "ㄇㄧ3", + "ㄆㄢ4" + ], + "眬": [ + "ㄌㄨㄥ2" + ], + "眭": [ + "ㄙㄨㄟ1", + "ㄏㄨㄟ1", + "ㄒㄧㄝ2", + "ㄨㄟ4" + ], + "眮": [ + "ㄊㄨㄥ2" + ], + "眯": [ + "ㄇㄧ1", + "ㄇㄧ2", + "ㄇㄧ3", + "ㄇㄧ4" + ], + "眰": [ + "ㄉㄧㄝ4", + "ㄓ4" + ], + "眱": [ + "ㄉㄧ4" + ], + "眲": [ + "ㄋㄜ4" + ], + "眳": [ + "ㄇㄧㄥ2" + ], + "眴": [ + "ㄒㄩㄢ4", + "ㄕㄨㄣ4", + "ㄒㄩㄣ2" + ], + "眵": [ + "ㄔ1" + ], + "眶": [ + "ㄎㄨㄤ4" + ], + "眷": [ + "ㄐㄩㄢ4" + ], + "眸": [ + "ㄇㄡ2" + ], + "眹": [ + "ㄓㄣ4" + ], + "眺": [ + "ㄊㄧㄠ4" + ], + "眻": [ + "ㄧㄤ2" + ], + "眼": [ + "ㄧㄢ3", + "ㄨㄣ3" + ], + "眽": [ + "ㄇㄛ4", + "ㄇㄧ4" + ], + "眾": [ + "ㄓㄨㄥ4" + ], + "眿": [ + "ㄇㄛ4" + ], + "着": [ + "ㄓㄜ5", + "ㄓㄠ1", + "ㄓㄠ2", + "ㄓㄨㄛ2" + ], + "睁": [ + "ㄓㄥ1" + ], + "睂": [ + "ㄇㄟ2" + ], + "睃": [ + "ㄙㄨㄛ1", + "ㄐㄩㄣ4", + "ㄐㄩㄢ1" + ], + "睄": [ + "ㄕㄠ4", + "ㄑㄧㄠ2", + "ㄒㄧㄠ1" + ], + "睅": [ + "ㄏㄢ4" + ], + "睆": [ + "ㄏㄨㄢ4", + "ㄏㄨㄢ3" + ], + "睇": [ + "ㄉㄧ4", + "ㄊㄧ1", + "ㄊㄧ2" + ], + "睈": [ + "ㄔㄥ3" + ], + "睉": [ + "ㄘㄨㄛ2", + "ㄓㄨㄞ4" + ], + "睊": [ + "ㄐㄩㄢ4" + ], + "睋": [ + "ㄜ2" + ], + "睌": [ + "ㄇㄢ3" + ], + "睍": [ + "ㄒㄧㄢ4" + ], + "睎": [ + "ㄒㄧ1" + ], + "睏": [ + "ㄎㄨㄣ4" + ], + "睐": [ + "ㄌㄞ4" + ], + "睑": [ + "ㄐㄧㄢ3" + ], + "睒": [ + "ㄕㄢ3" + ], + "睓": [ + "ㄊㄧㄢ3" + ], + "睔": [ + "ㄍㄨㄣ4", + "ㄏㄨㄢ2", + "ㄌㄨㄣ3" + ], + "睕": [ + "ㄨㄢ3", + "ㄨㄢ4", + "ㄨㄢ1" + ], + "睖": [ + "ㄌㄥ4", + "ㄔㄥ1" + ], + "睗": [ + "ㄕ4" + ], + "睘": [ + "ㄑㄩㄥ2" + ], + "睙": [ + "ㄌㄧㄝ4" + ], + "睚": [ + "ㄧㄚ2" + ], + "睛": [ + "ㄐㄧㄥ1", + "ㄐㄧㄥ3" + ], + "睜": [ + "ㄓㄥ1" + ], + "睝": [ + "ㄌㄧ2" + ], + "睞": [ + "ㄌㄞ4" + ], + "睟": [ + "ㄙㄨㄟ4", + "ㄗㄨㄟ4" + ], + "睠": [ + "ㄐㄩㄢ4" + ], + "睡": [ + "ㄕㄨㄟ4" + ], + "睢": [ + "ㄙㄨㄟ1", + "ㄏㄨㄟ1", + "ㄨㄟ3" + ], + "督": [ + "ㄉㄨ1" + ], + "睤": [ + "ㄅㄧ4" + ], + "睥": [ + "ㄆㄧ4" + ], + "睦": [ + "ㄇㄨ4" + ], + "睧": [ + "ㄏㄨㄣ1" + ], + "睨": [ + "ㄋㄧ4" + ], + "睩": [ + "ㄌㄨ4" + ], + "睪": [ + "ㄧ4", + "ㄗㄜ2", + "ㄉㄨ4", + "ㄍㄠ1" + ], + "睫": [ + "ㄐㄧㄝ2", + "ㄕㄜ4" + ], + "睬": [ + "ㄘㄞ3" + ], + "睭": [ + "ㄓㄡ3" + ], + "睮": [ + "ㄩ2" + ], + "睯": [ + "ㄏㄨㄣ1" + ], + "睰": [ + "ㄇㄚ4" + ], + "睱": [ + "ㄒㄧㄚ4", + "ㄒㄧㄚ2" + ], + "睲": [ + "ㄒㄧㄥ3", + "ㄒㄧㄥ4" + ], + "睳": [ + "ㄏㄨㄟ1" + ], + "睴": [ + "ㄍㄨㄣ4" + ], + "睵": [ + "ㄗㄞ1" + ], + "睶": [ + "ㄔㄨㄣ3" + ], + "睷": [ + "ㄐㄧㄢ1" + ], + "睸": [ + "ㄇㄟ4" + ], + "睹": [ + "ㄉㄨ3" + ], + "睺": [ + "ㄏㄡ2" + ], + "睻": [ + "ㄒㄩㄢ1" + ], + "睼": [ + "ㄊㄧㄢ4" + ], + "睽": [ + "ㄎㄨㄟ2", + "ㄎㄨㄟ4", + "ㄐㄧ4" + ], + "睾": [ + "ㄍㄠ1", + "ㄏㄠ4" + ], + "睿": [ + "ㄖㄨㄟ4" + ], + "瞀": [ + "ㄇㄠ4", + "ㄨ2" + ], + "瞁": [ + "ㄒㄩ4" + ], + "瞂": [ + "ㄈㄚ2" + ], + "瞃": [ + "ㄨㄛ4" + ], + "瞄": [ + "ㄇㄧㄠ2" + ], + "瞅": [ + "ㄔㄡ3" + ], + "瞆": [ + "ㄎㄨㄟ4" + ], + "瞇": [ + "ㄇㄧ1", + "ㄇㄧ3", + "ㄇㄧ4" + ], + "瞈": [ + "ㄨㄥ3" + ], + "瞉": [ + "ㄎㄡ4", + "ㄐㄧ4" + ], + "瞊": [ + "ㄉㄤ4" + ], + "瞋": [ + "ㄔㄣ1", + "ㄊㄧㄢ2", + "ㄊㄧㄢ4", + "ㄕㄣ4" + ], + "瞌": [ + "ㄎㄜ1" + ], + "瞍": [ + "ㄙㄡ3" + ], + "瞎": [ + "ㄒㄧㄚ1" + ], + "瞏": [ + "ㄑㄩㄥ2", + "ㄏㄨㄢ2" + ], + "瞐": [ + "ㄇㄛ4" + ], + "瞑": [ + "ㄇㄧㄥ2", + "ㄇㄥ2", + "ㄇㄧㄢ2" + ], + "瞒": [ + "ㄇㄢ2" + ], + "瞓": [ + "ㄈㄣ4" + ], + "瞔": [ + "ㄗㄜ2" + ], + "瞕": [ + "ㄓㄤ4" + ], + "瞖": [ + "ㄧ4" + ], + "瞗": [ + "ㄉㄧㄠ1", + "ㄉㄡ1" + ], + "瞘": [ + "ㄎㄡ1" + ], + "瞙": [ + "ㄇㄛ4" + ], + "瞚": [ + "ㄕㄨㄣ4" + ], + "瞛": [ + "ㄘㄨㄥ1" + ], + "瞜": [ + "ㄌㄡ1", + "ㄌㄡ2", + "ㄌㄩ2" + ], + "瞝": [ + "ㄔ1" + ], + "瞞": [ + "ㄇㄢ2", + "ㄇㄣ2", + "ㄇㄣ4" + ], + "瞟": [ + "ㄆㄧㄠ3", + "ㄆㄧㄠ4", + "ㄆㄧㄠ1" + ], + "瞠": [ + "ㄔㄥ1", + "ㄓㄥ4" + ], + "瞡": [ + "ㄍㄨㄟ1" + ], + "瞢": [ + "ㄇㄥ2", + "ㄇㄤ2", + "ㄇㄥ4" + ], + "瞣": [ + "ㄨㄢ4" + ], + "瞤": [ + "ㄖㄨㄣ2", + "ㄕㄨㄣ4" + ], + "瞥": [ + "ㄆㄧㄝ1", + "ㄅㄧ4" + ], + "瞦": [ + "ㄒㄧ1" + ], + "瞧": [ + "ㄑㄧㄠ2" + ], + "瞨": [ + "ㄆㄨ2" + ], + "瞩": [ + "ㄓㄨ3" + ], + "瞪": [ + "ㄉㄥ4" + ], + "瞫": [ + "ㄕㄣ3" + ], + "瞬": [ + "ㄕㄨㄣ4" + ], + "瞭": [ + "ㄌㄧㄠ3", + "ㄌㄧㄠ4" + ], + "瞮": [ + "ㄔㄜ4" + ], + "瞯": [ + "ㄒㄧㄢ2", + "ㄐㄧㄢ4" + ], + "瞰": [ + "ㄎㄢ4" + ], + "瞱": [ + "ㄧㄝ4" + ], + "瞲": [ + "ㄒㄩ4", + "ㄒㄩㄝ4" + ], + "瞳": [ + "ㄊㄨㄥ2" + ], + "瞴": [ + "ㄇㄡ2", + "ㄨ3", + "ㄇㄧ2" + ], + "瞵": [ + "ㄌㄧㄣ2", + "ㄌㄧㄣ4", + "ㄌㄧㄢ2" + ], + "瞶": [ + "ㄍㄨㄟ4", + "ㄨㄟ4", + "ㄎㄨㄟ4" + ], + "瞷": [ + "ㄐㄧㄢ4", + "ㄒㄧㄢ2" + ], + "瞸": [ + "ㄧㄝ4" + ], + "瞹": [ + "ㄞ4" + ], + "瞺": [ + "ㄏㄨㄟ4" + ], + "瞻": [ + "ㄓㄢ1" + ], + "瞼": [ + "ㄐㄧㄢ3" + ], + "瞽": [ + "ㄍㄨ3" + ], + "瞾": [ + "ㄓㄠ4" + ], + "瞿": [ + "ㄑㄩ2", + "ㄐㄩ4", + "ㄐㄧ2" + ], + "矀": [ + "ㄇㄟ2" + ], + "矁": [ + "ㄔㄡ3" + ], + "矂": [ + "ㄙㄠ4" + ], + "矃": [ + "ㄋㄧㄥ3", + "ㄔㄥ1" + ], + "矄": [ + "ㄒㄩㄣ1" + ], + "矅": [ + "ㄧㄠ4" + ], + "矆": [ + "ㄏㄨㄛ4", + "ㄒㄩㄝ1", + "ㄩㄝ4", + "ㄨㄛ4" + ], + "矇": [ + "ㄇㄥ2", + "ㄇㄥ3", + "ㄇㄥ1" + ], + "矈": [ + "ㄇㄧㄢ2" + ], + "矉": [ + "ㄆㄧㄣ2" + ], + "矊": [ + "ㄇㄧㄢ2" + ], + "矋": [ + "ㄌㄟ3" + ], + "矌": [ + "ㄎㄨㄤ4", + "ㄍㄨㄛ1" + ], + "矍": [ + "ㄐㄩㄝ2" + ], + "矎": [ + "ㄒㄩㄢ1", + "ㄒㄩㄢ4" + ], + "矏": [ + "ㄇㄧㄢ2" + ], + "矐": [ + "ㄏㄨㄛ4" + ], + "矑": [ + "ㄌㄨ2" + ], + "矒": [ + "ㄇㄥ2" + ], + "矓": [ + "ㄌㄨㄥ2" + ], + "矔": [ + "ㄍㄨㄢ4", + "ㄑㄩㄢ2" + ], + "矕": [ + "ㄇㄢ3", + "ㄇㄢ2" + ], + "矖": [ + "ㄒㄧ3", + "ㄌㄧ2" + ], + "矗": [ + "ㄔㄨ4" + ], + "矘": [ + "ㄊㄤ3" + ], + "矙": [ + "ㄎㄢ4" + ], + "矚": [ + "ㄓㄨ3" + ], + "矛": [ + "ㄇㄠ2" + ], + "矜": [ + "ㄐㄧㄣ1", + "ㄑㄧㄣ2", + "ㄍㄨㄢ1" + ], + "矝": [ + "ㄐㄧㄣ1" + ], + "矞": [ + "ㄩ4", + "ㄐㄩㄝ2", + "ㄒㄩ4" + ], + "矟": [ + "ㄕㄨㄛ4" + ], + "矠": [ + "ㄗㄜ2", + "ㄓㄨㄛ2" + ], + "矡": [ + "ㄐㄩㄝ2" + ], + "矢": [ + "ㄕ3" + ], + "矣": [ + "ㄧ3", + "ㄒㄧㄢ2" + ], + "矤": [ + "ㄕㄣ3" + ], + "知": [ + "ㄓ1", + "ㄓ4" + ], + "矦": [ + "ㄏㄡ2" + ], + "矧": [ + "ㄕㄣ3" + ], + "矨": [ + "ㄧㄥ3" + ], + "矩": [ + "ㄐㄩ3" + ], + "矪": [ + "ㄓㄡ1" + ], + "矫": [ + "ㄐㄧㄠ3", + "ㄐㄧㄠ2" + ], + "矬": [ + "ㄘㄨㄛ2" + ], + "短": [ + "ㄉㄨㄢ3" + ], + "矮": [ + "ㄞ3" + ], + "矯": [ + "ㄐㄧㄠ3", + "ㄐㄧㄠ1", + "ㄐㄧㄠ2" + ], + "矰": [ + "ㄗㄥ1" + ], + "矱": [ + "ㄩㄝ1" + ], + "矲": [ + "ㄅㄚ4" + ], + "石": [ + "ㄕ2", + "ㄉㄢ4" + ], + "矴": [ + "ㄉㄧㄥ4" + ], + "矵": [ + "ㄑㄧ4", + "ㄉㄧㄠ1" + ], + "矶": [ + "ㄐㄧ1" + ], + "矷": [ + "ㄗ3" + ], + "矸": [ + "ㄍㄢ1", + "ㄍㄢ4", + "ㄍㄢ3", + "ㄏㄢ4" + ], + "矹": [ + "ㄨ4" + ], + "矺": [ + "ㄓㄜ2", + "ㄉㄚ1" + ], + "矻": [ + "ㄎㄨ1", + "ㄑㄧㄚ4" + ], + "矼": [ + "ㄍㄤ1", + "ㄎㄨㄥ4", + "ㄑㄧㄤ1" + ], + "矽": [ + "ㄒㄧ4", + "ㄒㄧ1" + ], + "矾": [ + "ㄈㄢ2" + ], + "矿": [ + "ㄎㄨㄤ4" + ], + "砀": [ + "ㄉㄤ4" + ], + "码": [ + "ㄇㄚ3" + ], + "砂": [ + "ㄕㄚ1" + ], + "砃": [ + "ㄉㄢ1" + ], + "砄": [ + "ㄐㄩㄝ2" + ], + "砅": [ + "ㄌㄧ4" + ], + "砆": [ + "ㄈㄨ1" + ], + "砇": [ + "ㄇㄧㄣ2" + ], + "砈": [ + "ㄜ3" + ], + "砉": [ + "ㄏㄨㄛ4", + "ㄏㄨㄚ1", + "ㄒㄩ1" + ], + "砊": [ + "ㄎㄤ1", + "ㄎㄤ4" + ], + "砋": [ + "ㄓ3" + ], + "砌": [ + "ㄑㄧ4", + "ㄑㄧㄝ4" + ], + "砍": [ + "ㄎㄢ3" + ], + "砎": [ + "ㄐㄧㄝ4" + ], + "砏": [ + "ㄅㄧㄣ1", + "ㄈㄣ1", + "ㄆㄧㄣ1" + ], + "砐": [ + "ㄜ4" + ], + "砑": [ + "ㄧㄚ4" + ], + "砒": [ + "ㄆㄧ1" + ], + "砓": [ + "ㄓㄜ2" + ], + "研": [ + "ㄧㄢ2", + "ㄧㄢ4", + "ㄒㄧㄥ2" + ], + "砕": [ + "ㄙㄨㄟ4" + ], + "砖": [ + "ㄓㄨㄢ1" + ], + "砗": [ + "ㄔㄜ1" + ], + "砘": [ + "ㄉㄨㄣ4" + ], + "砙": [ + "ㄨㄚ3" + ], + "砚": [ + "ㄧㄢ4" + ], + "砛": [ + "ㄐㄧㄣ1" + ], + "砜": [ + "ㄈㄥ1" + ], + "砝": [ + "ㄈㄚ2", + "ㄈㄚ3", + "ㄐㄧㄝ2", + "ㄍㄜ2" + ], + "砞": [ + "ㄇㄛ4" + ], + "砟": [ + "ㄓㄚ3", + "ㄓㄚ4", + "ㄗㄨㄛ2" + ], + "砠": [ + "ㄐㄩ1", + "ㄗㄨ1" + ], + "砡": [ + "ㄩ4" + ], + "砢": [ + "ㄎㄜ1", + "ㄌㄨㄛ3" + ], + "砣": [ + "ㄊㄨㄛ2" + ], + "砤": [ + "ㄊㄨㄛ2" + ], + "砥": [ + "ㄉㄧ3", + "ㄓ3" + ], + "砦": [ + "ㄓㄞ4" + ], + "砧": [ + "ㄓㄣ1" + ], + "砨": [ + "ㄜ4" + ], + "砩": [ + "ㄈㄨ2", + "ㄈㄟ4" + ], + "砪": [ + "ㄇㄨ3" + ], + "砫": [ + "ㄓㄨ4", + "ㄓㄨ3" + ], + "砬": [ + "ㄌㄚ2", + "ㄌㄧ4", + "ㄌㄚ1" + ], + "砭": [ + "ㄅㄧㄢ1" + ], + "砮": [ + "ㄋㄨ3", + "ㄋㄨ2" + ], + "砯": [ + "ㄆㄧㄥ1" + ], + "砰": [ + "ㄆㄥ1", + "ㄆㄧㄥ1", + "ㄆㄥ4" + ], + "砱": [ + "ㄌㄧㄥ2" + ], + "砲": [ + "ㄆㄠ4", + "ㄅㄠ2", + "ㄆㄨ1" + ], + "砳": [ + "ㄌㄜ4" + ], + "破": [ + "ㄆㄛ4" + ], + "砵": [ + "ㄅㄛ1", + "ㄜ4" + ], + "砶": [ + "ㄆㄛ4" + ], + "砷": [ + "ㄕㄣ1" + ], + "砸": [ + "ㄗㄚ2" + ], + "砹": [ + "ㄞ4" + ], + "砺": [ + "ㄌㄧ4" + ], + "砻": [ + "ㄌㄨㄥ2" + ], + "砼": [ + "ㄊㄨㄥ2" + ], + "砽": [ + "ㄩㄥ4" + ], + "砾": [ + "ㄌㄧ4" + ], + "砿": [ + "ㄎㄨㄤ4" + ], + "础": [ + "ㄔㄨ3" + ], + "硁": [ + "ㄎㄥ1" + ], + "硂": [ + "ㄑㄩㄢ2" + ], + "硃": [ + "ㄓㄨ1" + ], + "硄": [ + "ㄎㄨㄤ1", + "ㄍㄨㄤ1" + ], + "硅": [ + "ㄍㄨㄟ1", + "ㄏㄜ4" + ], + "硆": [ + "ㄜ4" + ], + "硇": [ + "ㄋㄠ2" + ], + "硈": [ + "ㄑㄧㄚ4" + ], + "硉": [ + "ㄌㄨ4" + ], + "硊": [ + "ㄨㄟ3", + "ㄏㄨㄟ4", + "ㄍㄨㄟ4" + ], + "硋": [ + "ㄞ4" + ], + "硌": [ + "ㄍㄜ4", + "ㄌㄨㄛ4", + "ㄌㄧ4" + ], + "硍": [ + "ㄒㄧㄢ4", + "ㄧㄣ2", + "ㄎㄣ4", + "ㄎㄥ1", + "ㄧㄣ3" + ], + "硎": [ + "ㄒㄧㄥ2", + "ㄎㄥ1" + ], + "硏": [ + "ㄧㄢ2", + "ㄧㄢ4" + ], + "硐": [ + "ㄉㄨㄥ4", + "ㄊㄨㄥ2", + "ㄌㄧㄡ2" + ], + "硑": [ + "ㄆㄥ1", + "ㄆㄧㄥ2" + ], + "硒": [ + "ㄒㄧ1" + ], + "硓": [ + "ㄌㄠ3" + ], + "硔": [ + "ㄏㄨㄥ2", + "ㄍㄨㄥ3" + ], + "硕": [ + "ㄕㄨㄛ4" + ], + "硖": [ + "ㄒㄧㄚ2" + ], + "硗": [ + "ㄑㄧㄠ1" + ], + "硘": [ + "ㄑㄧㄥ5" + ], + "硙": [ + "ㄨㄟ2", + "ㄨㄟ4" + ], + "硚": [ + "ㄑㄧㄠ2" + ], + "硛": [ + "ㄧ4" + ], + "硜": [ + "ㄎㄥ1", + "ㄑㄧㄥ4" + ], + "硝": [ + "ㄒㄧㄠ1", + "ㄑㄧㄠ4" + ], + "硞": [ + "ㄑㄩㄝ4", + "ㄎㄜ4", + "ㄎㄨ4" + ], + "硟": [ + "ㄔㄢ4" + ], + "硠": [ + "ㄌㄤ2" + ], + "硡": [ + "ㄏㄨㄥ1" + ], + "硢": [ + "ㄩ2" + ], + "硣": [ + "ㄒㄧㄠ1" + ], + "硤": [ + "ㄒㄧㄚ2" + ], + "硥": [ + "ㄇㄤ3", + "ㄅㄤ4" + ], + "硦": [ + "ㄌㄨㄛ4", + "ㄌㄨㄥ4" + ], + "硧": [ + "ㄩㄥ3", + "ㄊㄨㄥ2" + ], + "硨": [ + "ㄔㄜ1" + ], + "硩": [ + "ㄔㄜ4" + ], + "硪": [ + "ㄨㄛ4", + "ㄜ2", + "ㄧ3" + ], + "硫": [ + "ㄌㄧㄡ2", + "ㄔㄨ4" + ], + "硬": [ + "ㄧㄥ4", + "ㄍㄥ3" + ], + "硭": [ + "ㄇㄤ2" + ], + "确": [ + "ㄑㄩㄝ4" + ], + "硯": [ + "ㄧㄢ4" + ], + "硰": [ + "ㄕㄚ1" + ], + "硱": [ + "ㄎㄨㄣ3" + ], + "硲": [ + "ㄩ4" + ], + "硳": [ + "ㄔ4" + ], + "硴": [ + "ㄏㄨㄚ1" + ], + "硵": [ + "ㄌㄨ3" + ], + "硶": [ + "ㄔㄣ3", + "ㄘㄣ2" + ], + "硷": [ + "ㄐㄧㄢ3" + ], + "硸": [ + "ㄋㄩㄝ4" + ], + "硹": [ + "ㄙㄨㄥ1" + ], + "硺": [ + "ㄓㄨㄛ2" + ], + "硻": [ + "ㄎㄥ1", + "ㄎㄥ3" + ], + "硼": [ + "ㄆㄥ2", + "ㄆㄥ1" + ], + "硽": [ + "ㄧㄢ1", + "ㄧㄢ3" + ], + "硾": [ + "ㄓㄨㄟ4", + "ㄉㄨㄛ3" + ], + "硿": [ + "ㄎㄨㄥ1", + "ㄎㄨㄥ4" + ], + "碀": [ + "ㄔㄥ2" + ], + "碁": [ + "ㄑㄧ2" + ], + "碂": [ + "ㄗㄨㄥ4", + "ㄘㄨㄥ2" + ], + "碃": [ + "ㄑㄧㄥ4" + ], + "碄": [ + "ㄌㄧㄣ2" + ], + "碅": [ + "ㄐㄩㄣ1" + ], + "碆": [ + "ㄅㄛ1" + ], + "碇": [ + "ㄉㄧㄥ4" + ], + "碈": [ + "ㄇㄧㄣ2", + "ㄏㄨㄣ1" + ], + "碉": [ + "ㄉㄧㄠ1" + ], + "碊": [ + "ㄐㄧㄢ1", + "ㄓㄢ4" + ], + "碋": [ + "ㄏㄜ4" + ], + "碌": [ + "ㄌㄨ4", + "ㄌㄧㄡ4", + "ㄌㄨㄛ4" + ], + "碍": [ + "ㄞ4" + ], + "碎": [ + "ㄙㄨㄟ4" + ], + "碏": [ + "ㄑㄩㄝ4", + "ㄒㄧ1" + ], + "碐": [ + "ㄌㄥ2" + ], + "碑": [ + "ㄅㄟ1" + ], + "碒": [ + "ㄧㄣ2" + ], + "碓": [ + "ㄉㄨㄟ4", + "ㄉㄨㄟ1" + ], + "碔": [ + "ㄨ3" + ], + "碕": [ + "ㄑㄧ2", + "ㄑㄧ1", + "ㄑㄧ3" + ], + "碖": [ + "ㄌㄨㄣ3", + "ㄌㄨㄣ4", + "ㄌㄨㄣ2" + ], + "碗": [ + "ㄨㄢ3" + ], + "碘": [ + "ㄉㄧㄢ3" + ], + "碙": [ + "ㄋㄠ2", + "ㄍㄤ1" + ], + "碚": [ + "ㄅㄟ4" + ], + "碛": [ + "ㄑㄧ4" + ], + "碜": [ + "ㄔㄣ3" + ], + "碝": [ + "ㄖㄨㄢ3" + ], + "碞": [ + "ㄧㄢ2" + ], + "碟": [ + "ㄉㄧㄝ2", + "ㄕㄜ2" + ], + "碠": [ + "ㄉㄧㄥ4" + ], + "碡": [ + "ㄉㄨ2", + "ㄓㄡ2" + ], + "碢": [ + "ㄊㄨㄛ2" + ], + "碣": [ + "ㄐㄧㄝ2", + "ㄎㄜ3", + "ㄧㄚ4" + ], + "碤": [ + "ㄧㄥ1" + ], + "碥": [ + "ㄅㄧㄢ3" + ], + "碦": [ + "ㄎㄜ4" + ], + "碧": [ + "ㄅㄧ4" + ], + "碨": [ + "ㄨㄟ4", + "ㄨㄟ3" + ], + "碩": [ + "ㄕㄨㄛ4" + ], + "碪": [ + "ㄓㄣ1", + "ㄢ3", + "ㄎㄢ4" + ], + "碫": [ + "ㄉㄨㄢ4" + ], + "碬": [ + "ㄒㄧㄚ2" + ], + "碭": [ + "ㄉㄤ4" + ], + "碮": [ + "ㄊㄧ2", + "ㄉㄧ1" + ], + "碯": [ + "ㄋㄠ3" + ], + "碰": [ + "ㄆㄥ4" + ], + "碱": [ + "ㄐㄧㄢ3", + "ㄒㄧㄢ2" + ], + "碲": [ + "ㄉㄧ4" + ], + "碳": [ + "ㄊㄢ4" + ], + "碴": [ + "ㄔㄚ2", + "ㄔㄚ1" + ], + "碵": [ + "ㄊㄧㄢ2" + ], + "碶": [ + "ㄑㄧ4" + ], + "碷": [ + "ㄉㄨㄣ4" + ], + "碸": [ + "ㄈㄥ1" + ], + "碹": [ + "ㄒㄩㄢ4" + ], + "確": [ + "ㄑㄩㄝ4" + ], + "碻": [ + "ㄑㄩㄝ4", + "ㄑㄧㄠ1" + ], + "碼": [ + "ㄇㄚ3" + ], + "碽": [ + "ㄍㄨㄥ1" + ], + "碾": [ + "ㄋㄧㄢ3" + ], + "碿": [ + "ㄙㄨ4", + "ㄒㄧㄝ4" + ], + "磀": [ + "ㄜ2" + ], + "磁": [ + "ㄘ2" + ], + "磂": [ + "ㄌㄧㄡ2", + "ㄌㄧㄡ4" + ], + "磃": [ + "ㄙ1", + "ㄊㄧ2" + ], + "磄": [ + "ㄊㄤ2" + ], + "磅": [ + "ㄅㄤ4", + "ㄆㄤ2", + "ㄆㄤ1" + ], + "磆": [ + "ㄏㄨㄚ2", + "ㄎㄜ3", + "ㄍㄨ1" + ], + "磇": [ + "ㄆㄧ1" + ], + "磈": [ + "ㄨㄟ3", + "ㄎㄨㄟ3" + ], + "磉": [ + "ㄙㄤ3" + ], + "磊": [ + "ㄌㄟ3" + ], + "磋": [ + "ㄘㄨㄛ1" + ], + "磌": [ + "ㄊㄧㄢ2" + ], + "磍": [ + "ㄒㄧㄚ2", + "ㄑㄧㄚ4", + "ㄧㄚ4" + ], + "磎": [ + "ㄒㄧ1", + "ㄑㄧ1" + ], + "磏": [ + "ㄌㄧㄢ2", + "ㄑㄧㄢ1" + ], + "磐": [ + "ㄆㄢ2" + ], + "磑": [ + "ㄨㄟ2", + "ㄨㄟ4", + "ㄞ2", + "ㄍㄞ4" + ], + "磒": [ + "ㄩㄣ3" + ], + "磓": [ + "ㄉㄨㄟ1", + "ㄓㄨㄟ4" + ], + "磔": [ + "ㄓㄜ2" + ], + "磕": [ + "ㄎㄜ1", + "ㄎㄜ3" + ], + "磖": [ + "ㄌㄚ2", + "ㄌㄚ1" + ], + "磗": [ + "ㄓㄨㄢ1" + ], + "磘": [ + "ㄧㄠ2" + ], + "磙": [ + "ㄍㄨㄣ3" + ], + "磚": [ + "ㄓㄨㄢ1", + "ㄊㄨㄢ2", + "ㄊㄨㄛ2" + ], + "磛": [ + "ㄔㄢ2" + ], + "磜": [ + "ㄑㄧ4", + "ㄑㄧ1" + ], + "磝": [ + "ㄠ2", + "ㄑㄧㄠ1" + ], + "磞": [ + "ㄆㄥ1" + ], + "磟": [ + "ㄌㄧㄡ4", + "ㄌㄨ4" + ], + "磠": [ + "ㄌㄨ3" + ], + "磡": [ + "ㄎㄢ4" + ], + "磢": [ + "ㄔㄨㄤ3" + ], + "磣": [ + "ㄔㄣ3", + "ㄘㄚ4" + ], + "磤": [ + "ㄧㄣ3", + "ㄧㄣ1" + ], + "磥": [ + "ㄌㄟ3", + "ㄌㄟ2" + ], + "磦": [ + "ㄅㄧㄠ1" + ], + "磧": [ + "ㄑㄧ4" + ], + "磨": [ + "ㄇㄛ2", + "ㄇㄛ4" + ], + "磩": [ + "ㄑㄧ4", + "ㄓㄨ2" + ], + "磪": [ + "ㄘㄨㄟ1" + ], + "磫": [ + "ㄗㄨㄥ1" + ], + "磬": [ + "ㄑㄧㄥ4", + "ㄑㄧㄥ3" + ], + "磭": [ + "ㄔㄨㄛ4" + ], + "磮": [ + "ㄌㄨㄣ2" + ], + "磯": [ + "ㄐㄧ1" + ], + "磰": [ + "ㄕㄢ4" + ], + "磱": [ + "ㄌㄠ2" + ], + "磲": [ + "ㄑㄩ2" + ], + "磳": [ + "ㄗㄥ1" + ], + "磴": [ + "ㄉㄥ4", + "ㄉㄥ1" + ], + "磵": [ + "ㄐㄧㄢ4" + ], + "磶": [ + "ㄒㄧ4" + ], + "磷": [ + "ㄌㄧㄣ2", + "ㄌㄧㄣ4", + "ㄌㄧㄣ3", + "ㄌㄧㄥ2" + ], + "磸": [ + "ㄉㄧㄥ4" + ], + "磹": [ + "ㄊㄢ2", + "ㄉㄧㄢ4" + ], + "磺": [ + "ㄏㄨㄤ2", + "ㄎㄨㄤ4", + "ㄍㄨㄥ3" + ], + "磻": [ + "ㄆㄢ2", + "ㄅㄛ1" + ], + "磼": [ + "ㄗㄚ2", + "ㄕㄜ2" + ], + "磽": [ + "ㄑㄧㄠ1", + "ㄑㄧㄠ3", + "ㄑㄧㄠ4", + "ㄠ2" + ], + "磾": [ + "ㄉㄧ1" + ], + "磿": [ + "ㄌㄧ4" + ], + "礀": [ + "ㄐㄧㄢ4" + ], + "礁": [ + "ㄐㄧㄠ1" + ], + "礂": [ + "ㄒㄧ1" + ], + "礃": [ + "ㄓㄤ3" + ], + "礄": [ + "ㄑㄧㄠ2" + ], + "礅": [ + "ㄉㄨㄣ1" + ], + "礆": [ + "ㄐㄧㄢ3", + "ㄒㄧㄢ3" + ], + "礇": [ + "ㄩ4" + ], + "礈": [ + "ㄓㄨㄟ4" + ], + "礉": [ + "ㄏㄜ2", + "ㄑㄧㄠ1", + "ㄑㄧㄠ4", + "ㄠ2" + ], + "礊": [ + "ㄎㄜ4", + "ㄏㄨㄛ4" + ], + "礋": [ + "ㄗㄜ2" + ], + "礌": [ + "ㄌㄟ2", + "ㄌㄟ4", + "ㄌㄟ3" + ], + "礍": [ + "ㄐㄧㄝ2" + ], + "礎": [ + "ㄔㄨ3" + ], + "礏": [ + "ㄧㄝ4" + ], + "礐": [ + "ㄑㄩㄝ4", + "ㄏㄨ2" + ], + "礑": [ + "ㄉㄤ4" + ], + "礒": [ + "ㄧ3" + ], + "礓": [ + "ㄐㄧㄤ1" + ], + "礔": [ + "ㄆㄧ1" + ], + "礕": [ + "ㄆㄧ1" + ], + "礖": [ + "ㄩ4" + ], + "礗": [ + "ㄆㄧㄣ1" + ], + "礘": [ + "ㄜ4", + "ㄑㄧ4" + ], + "礙": [ + "ㄞ4", + "ㄧ2" + ], + "礚": [ + "ㄎㄜ1" + ], + "礛": [ + "ㄐㄧㄢ1" + ], + "礜": [ + "ㄩ4" + ], + "礝": [ + "ㄖㄨㄢ3" + ], + "礞": [ + "ㄇㄥ2" + ], + "礟": [ + "ㄆㄠ4" + ], + "礠": [ + "ㄘ2" + ], + "礡": [ + "ㄅㄛ2" + ], + "礢": [ + "ㄧㄤ3" + ], + "礣": [ + "ㄇㄚ4" + ], + "礤": [ + "ㄘㄚ3" + ], + "礥": [ + "ㄒㄧㄢ2", + "ㄒㄧㄣ2" + ], + "礦": [ + "ㄎㄨㄤ4", + "ㄍㄨㄥ3" + ], + "礧": [ + "ㄌㄟ2", + "ㄌㄟ4", + "ㄌㄟ3" + ], + "礨": [ + "ㄌㄟ3" + ], + "礩": [ + "ㄓ4" + ], + "礪": [ + "ㄌㄧ4" + ], + "礫": [ + "ㄌㄧ4", + "ㄌㄨㄛ4" + ], + "礬": [ + "ㄈㄢ2" + ], + "礭": [ + "ㄑㄩㄝ4" + ], + "礮": [ + "ㄆㄠ4" + ], + "礯": [ + "ㄧㄥ1" + ], + "礰": [ + "ㄌㄧ4" + ], + "礱": [ + "ㄌㄨㄥ2" + ], + "礲": [ + "ㄌㄨㄥ2" + ], + "礳": [ + "ㄇㄛ4" + ], + "礴": [ + "ㄅㄛ2" + ], + "礵": [ + "ㄕㄨㄤ1" + ], + "礶": [ + "ㄍㄨㄢ4" + ], + "礷": [ + "ㄌㄢ2" + ], + "礸": [ + "ㄘㄚ3" + ], + "礹": [ + "ㄧㄢ2", + "ㄧㄢ3" + ], + "示": [ + "ㄕ4", + "ㄑㄧ2", + "ㄓ4", + "ㄕ2" + ], + "礻": [ + "ㄕ4" + ], + "礼": [ + "ㄌㄧ3" + ], + "礽": [ + "ㄖㄥ2" + ], + "社": [ + "ㄕㄜ4" + ], + "礿": [ + "ㄩㄝ4" + ], + "祀": [ + "ㄙ4" + ], + "祁": [ + "ㄑㄧ2", + "ㄓ3" + ], + "祂": [ + "ㄊㄚ1" + ], + "祃": [ + "ㄇㄚ4" + ], + "祄": [ + "ㄒㄧㄝ4" + ], + "祅": [ + "ㄧㄠ1" + ], + "祆": [ + "ㄒㄧㄢ1" + ], + "祇": [ + "ㄑㄧ2", + "ㄔ2", + "ㄓ1", + "ㄓ3" + ], + "祈": [ + "ㄑㄧ2", + "ㄍㄨㄟ3" + ], + "祉": [ + "ㄓ3" + ], + "祊": [ + "ㄅㄥ1", + "ㄈㄤ1" + ], + "祋": [ + "ㄉㄨㄟ4" + ], + "祌": [ + "ㄓㄨㄥ4", + "ㄔㄨㄥ1" + ], + "祍": [ + "ㄖㄣ4" + ], + "祎": [ + "ㄧ1" + ], + "祏": [ + "ㄕ2" + ], + "祐": [ + "ㄧㄡ4" + ], + "祑": [ + "ㄓ4" + ], + "祒": [ + "ㄊㄧㄠ2" + ], + "祓": [ + "ㄈㄨ2", + "ㄈㄟ4" + ], + "祔": [ + "ㄈㄨ4" + ], + "祕": [ + "ㄇㄧ4", + "ㄅㄧ4" + ], + "祖": [ + "ㄗㄨ3", + "ㄐㄧㄝ1" + ], + "祗": [ + "ㄓ1" + ], + "祘": [ + "ㄙㄨㄢ4" + ], + "祙": [ + "ㄇㄟ4" + ], + "祚": [ + "ㄗㄨㄛ4" + ], + "祛": [ + "ㄑㄩ1" + ], + "祜": [ + "ㄏㄨ4" + ], + "祝": [ + "ㄓㄨ4", + "ㄓㄡ4", + "ㄔㄨ4" + ], + "神": [ + "ㄕㄣ2", + "ㄕㄣ1" + ], + "祟": [ + "ㄙㄨㄟ4" + ], + "祠": [ + "ㄘ2", + "ㄙ4" + ], + "祡": [ + "ㄔㄞ2" + ], + "祢": [ + "ㄇㄧ2", + "ㄋㄧ3" + ], + "祣": [ + "ㄌㄩ3" + ], + "祤": [ + "ㄩ3" + ], + "祥": [ + "ㄒㄧㄤ2" + ], + "祦": [ + "ㄨ2" + ], + "祧": [ + "ㄊㄧㄠ1" + ], + "票": [ + "ㄆㄧㄠ4", + "ㄆㄧㄠ1" + ], + "祩": [ + "ㄓㄨ4" + ], + "祪": [ + "ㄍㄨㄟ3" + ], + "祫": [ + "ㄒㄧㄚ2" + ], + "祬": [ + "ㄓ1" + ], + "祭": [ + "ㄐㄧ4", + "ㄓㄞ4" + ], + "祮": [ + "ㄍㄠ4" + ], + "祯": [ + "ㄓㄣ1" + ], + "祰": [ + "ㄍㄠ4" + ], + "祱": [ + "ㄕㄨㄟ4", + "ㄌㄟ4" + ], + "祲": [ + "ㄐㄧㄣ4" + ], + "祳": [ + "ㄕㄣ4" + ], + "祴": [ + "ㄍㄞ1" + ], + "祵": [ + "ㄎㄨㄣ3" + ], + "祶": [ + "ㄉㄧ4" + ], + "祷": [ + "ㄉㄠ3" + ], + "祸": [ + "ㄏㄨㄛ4" + ], + "祹": [ + "ㄊㄠ2" + ], + "祺": [ + "ㄑㄧ2" + ], + "祻": [ + "ㄍㄨ4" + ], + "祼": [ + "ㄍㄨㄢ4" + ], + "祽": [ + "ㄗㄨㄟ4" + ], + "祾": [ + "ㄌㄧㄥ2" + ], + "祿": [ + "ㄌㄨ4" + ], + "禀": [ + "ㄅㄧㄥ3" + ], + "禁": [ + "ㄐㄧㄣ4", + "ㄐㄧㄣ1" + ], + "禂": [ + "ㄉㄠ3" + ], + "禃": [ + "ㄓ2" + ], + "禄": [ + "ㄌㄨ4" + ], + "禅": [ + "ㄔㄢ2", + "ㄕㄢ4" + ], + "禆": [ + "ㄅㄧ4" + ], + "禇": [ + "ㄓㄜ3" + ], + "禈": [ + "ㄏㄨㄟ1" + ], + "禉": [ + "ㄧㄡ3" + ], + "禊": [ + "ㄒㄧ4" + ], + "禋": [ + "ㄧㄣ1" + ], + "禌": [ + "ㄗ1" + ], + "禍": [ + "ㄏㄨㄛ4" + ], + "禎": [ + "ㄓㄣ1", + "ㄓㄥ1" + ], + "福": [ + "ㄈㄨ2", + "ㄈㄨ4" + ], + "禐": [ + "ㄩㄢ4" + ], + "禑": [ + "ㄨ2" + ], + "禒": [ + "ㄒㄧㄢ3" + ], + "禓": [ + "ㄧㄤ2", + "ㄕㄤ1" + ], + "禔": [ + "ㄓ1" + ], + "禕": [ + "ㄧ1" + ], + "禖": [ + "ㄇㄟ2" + ], + "禗": [ + "ㄙ1" + ], + "禘": [ + "ㄉㄧ4" + ], + "禙": [ + "ㄅㄟ4" + ], + "禚": [ + "ㄓㄨㄛ2" + ], + "禛": [ + "ㄓㄣ1" + ], + "禜": [ + "ㄩㄥ3", + "ㄧㄥ2" + ], + "禝": [ + "ㄐㄧ4" + ], + "禞": [ + "ㄍㄠ4" + ], + "禟": [ + "ㄊㄤ2" + ], + "禠": [ + "ㄙ1" + ], + "禡": [ + "ㄇㄚ4" + ], + "禢": [ + "ㄊㄚ4" + ], + "禣": [ + "ㄈㄨ4" + ], + "禤": [ + "ㄒㄩㄢ1" + ], + "禥": [ + "ㄑㄧ2" + ], + "禦": [ + "ㄩ4" + ], + "禧": [ + "ㄒㄧ3", + "ㄒㄧ1" + ], + "禨": [ + "ㄐㄧ1", + "ㄐㄧ4", + "ㄑㄧ2" + ], + "禩": [ + "ㄙ4" + ], + "禪": [ + "ㄔㄢ2", + "ㄕㄢ4", + "ㄊㄢ2" + ], + "禫": [ + "ㄉㄢ4" + ], + "禬": [ + "ㄍㄨㄟ4" + ], + "禭": [ + "ㄙㄨㄟ4" + ], + "禮": [ + "ㄌㄧ3" + ], + "禯": [ + "ㄋㄨㄥ2" + ], + "禰": [ + "ㄇㄧ2", + "ㄋㄧ3", + "ㄒㄧㄢ3" + ], + "禱": [ + "ㄉㄠ3" + ], + "禲": [ + "ㄌㄧ4" + ], + "禳": [ + "ㄖㄤ2" + ], + "禴": [ + "ㄩㄝ4" + ], + "禵": [ + "ㄊㄧ2" + ], + "禶": [ + "ㄗㄢ4" + ], + "禷": [ + "ㄌㄟ4" + ], + "禸": [ + "ㄖㄡ2" + ], + "禹": [ + "ㄩ3" + ], + "禺": [ + "ㄩ2", + "ㄩ4" + ], + "离": [ + "ㄌㄧ2", + "ㄔ1" + ], + "禼": [ + "ㄒㄧㄝ4" + ], + "禽": [ + "ㄑㄧㄣ2" + ], + "禾": [ + "ㄏㄜ2" + ], + "禿": [ + "ㄊㄨ1" + ], + "秀": [ + "ㄒㄧㄡ4" + ], + "私": [ + "ㄙ1" + ], + "秂": [ + "ㄖㄣ2" + ], + "秃": [ + "ㄊㄨ1" + ], + "秄": [ + "ㄗ3", + "ㄗ4" + ], + "秅": [ + "ㄔㄚ2", + "ㄋㄚ2" + ], + "秆": [ + "ㄍㄢ3" + ], + "秇": [ + "ㄧ4", + "ㄓ2" + ], + "秈": [ + "ㄒㄧㄢ1" + ], + "秉": [ + "ㄅㄧㄥ3" + ], + "秊": [ + "ㄋㄧㄢ2" + ], + "秋": [ + "ㄑㄧㄡ1" + ], + "秌": [ + "ㄑㄧㄡ1" + ], + "种": [ + "ㄓㄨㄥ3", + "ㄔㄨㄥ2", + "ㄓㄨㄥ4" + ], + "秎": [ + "ㄈㄣ4" + ], + "秏": [ + "ㄏㄠ4", + "ㄇㄠ4" + ], + "秐": [ + "ㄩㄣ2" + ], + "科": [ + "ㄎㄜ1", + "ㄎㄜ4" + ], + "秒": [ + "ㄇㄧㄠ3" + ], + "秓": [ + "ㄓ1" + ], + "秔": [ + "ㄐㄧㄥ1" + ], + "秕": [ + "ㄅㄧ3" + ], + "秖": [ + "ㄓ1" + ], + "秗": [ + "ㄩ4" + ], + "秘": [ + "ㄇㄧ4", + "ㄅㄧ4", + "ㄅㄧㄝ2" + ], + "秙": [ + "ㄎㄨ4" + ], + "秚": [ + "ㄅㄢ4" + ], + "秛": [ + "ㄆㄧ1" + ], + "秜": [ + "ㄋㄧ2", + "ㄋㄧ4" + ], + "秝": [ + "ㄌㄧ4" + ], + "秞": [ + "ㄧㄡ2" + ], + "租": [ + "ㄗㄨ1", + "ㄐㄩ1" + ], + "秠": [ + "ㄆㄧ1" + ], + "秡": [ + "ㄅㄛ2" + ], + "秢": [ + "ㄌㄧㄥ2" + ], + "秣": [ + "ㄇㄛ4" + ], + "秤": [ + "ㄔㄥ4", + "ㄔㄥ1", + "ㄆㄧㄥ2" + ], + "秥": [ + "ㄋㄧㄢ2" + ], + "秦": [ + "ㄑㄧㄣ2" + ], + "秧": [ + "ㄧㄤ1" + ], + "秨": [ + "ㄗㄨㄛ2" + ], + "秩": [ + "ㄓ4" + ], + "秪": [ + "ㄓ1" + ], + "秫": [ + "ㄕㄨ2" + ], + "秬": [ + "ㄐㄩ4" + ], + "秭": [ + "ㄗ3" + ], + "秮": [ + "ㄏㄨㄛ2" + ], + "积": [ + "ㄐㄧ1", + "ㄓ3" + ], + "称": [ + "ㄔㄥ1", + "ㄔㄣ4", + "ㄔㄥ4" + ], + "秱": [ + "ㄊㄨㄥ2" + ], + "秲": [ + "ㄓ4", + "ㄕ4" + ], + "秳": [ + "ㄏㄨㄛ2", + "ㄎㄨㄛ4" + ], + "秴": [ + "ㄏㄜ2", + "ㄍㄜ2" + ], + "秵": [ + "ㄧㄣ1" + ], + "秶": [ + "ㄗ1" + ], + "秷": [ + "ㄓ4" + ], + "秸": [ + "ㄐㄧㄝ1", + "ㄐㄧ2" + ], + "秹": [ + "ㄖㄣ3" + ], + "秺": [ + "ㄉㄨ4" + ], + "移": [ + "ㄧ2", + "ㄔ3", + "ㄧ4" + ], + "秼": [ + "ㄓㄨ1" + ], + "秽": [ + "ㄏㄨㄟ4" + ], + "秾": [ + "ㄋㄨㄥ2" + ], + "秿": [ + "ㄈㄨ4", + "ㄅㄨ1", + "ㄆㄨ1" + ], + "稀": [ + "ㄒㄧ1" + ], + "稁": [ + "ㄍㄠ3" + ], + "稂": [ + "ㄌㄤ2" + ], + "稃": [ + "ㄈㄨ1" + ], + "稄": [ + "ㄒㄩㄣ4", + "ㄗㄜ4" + ], + "稅": [ + "ㄕㄨㄟ4" + ], + "稆": [ + "ㄌㄩ3" + ], + "稇": [ + "ㄎㄨㄣ3" + ], + "稈": [ + "ㄍㄢ3" + ], + "稉": [ + "ㄐㄧㄥ1" + ], + "稊": [ + "ㄊㄧ2" + ], + "程": [ + "ㄔㄥ2" + ], + "稌": [ + "ㄊㄨ2", + "ㄕㄨ3" + ], + "稍": [ + "ㄕㄠ1", + "ㄕㄠ4" + ], + "税": [ + "ㄕㄨㄟ4", + "ㄊㄨㄛ1", + "ㄊㄨㄟ4", + "ㄊㄨㄢ4" + ], + "稏": [ + "ㄧㄚ4" + ], + "稐": [ + "ㄌㄨㄣ3" + ], + "稑": [ + "ㄌㄨ4" + ], + "稒": [ + "ㄍㄨ4" + ], + "稓": [ + "ㄗㄨㄛ2" + ], + "稔": [ + "ㄖㄣ3" + ], + "稕": [ + "ㄓㄨㄣ4", + "ㄓㄨㄣ3" + ], + "稖": [ + "ㄅㄤ4" + ], + "稗": [ + "ㄅㄞ4" + ], + "稘": [ + "ㄐㄧ1", + "ㄑㄧ2" + ], + "稙": [ + "ㄓ1", + "ㄓ4" + ], + "稚": [ + "ㄓ4" + ], + "稛": [ + "ㄎㄨㄣ3" + ], + "稜": [ + "ㄌㄥ2", + "ㄌㄥ4", + "ㄌㄧㄥ2" + ], + "稝": [ + "ㄆㄥ2" + ], + "稞": [ + "ㄎㄜ1", + "ㄏㄨㄚ4" + ], + "稟": [ + "ㄅㄧㄥ3", + "ㄌㄧㄣ3" + ], + "稠": [ + "ㄔㄡ2", + "ㄊㄧㄠ2", + "ㄉㄧㄠ4" + ], + "稡": [ + "ㄗㄨㄟ4", + "ㄗㄨ2", + "ㄙㄨ1" + ], + "稢": [ + "ㄩ4" + ], + "稣": [ + "ㄙㄨ1" + ], + "稤": [ + "ㄌㄩㄝ4" + ], + "稥": [ + "ㄒㄧㄤ1" + ], + "稦": [ + "ㄧ1" + ], + "稧": [ + "ㄒㄧ4", + "ㄑㄧㄝ4" + ], + "稨": [ + "ㄅㄧㄢ3" + ], + "稩": [ + "ㄐㄧ4" + ], + "稪": [ + "ㄈㄨ2" + ], + "稫": [ + "ㄆㄧ4", + "ㄅㄧ4" + ], + "稬": [ + "ㄋㄨㄛ4" + ], + "稭": [ + "ㄐㄧㄝ1" + ], + "種": [ + "ㄓㄨㄥ3", + "ㄔㄨㄥ2", + "ㄓㄨㄥ4" + ], + "稯": [ + "ㄗㄨㄥ1", + "ㄗㄨㄥ3" + ], + "稰": [ + "ㄒㄩ3", + "ㄒㄩ1" + ], + "稱": [ + "ㄔㄥ1", + "ㄔㄣ4", + "ㄔㄥ4" + ], + "稲": [ + "ㄉㄠ4" + ], + "稳": [ + "ㄨㄣ3" + ], + "稴": [ + "ㄒㄧㄢ2", + "ㄐㄧㄢ1", + "ㄌㄧㄢ4", + "ㄌㄧㄢ3" + ], + "稵": [ + "ㄗ1", + "ㄐㄧㄡ1" + ], + "稶": [ + "ㄩ4" + ], + "稷": [ + "ㄐㄧ4", + "ㄗㄜ4" + ], + "稸": [ + "ㄒㄩ4" + ], + "稹": [ + "ㄓㄣ3", + "ㄓㄣ1", + "ㄅㄧㄢ1" + ], + "稺": [ + "ㄓ4" + ], + "稻": [ + "ㄉㄠ4" + ], + "稼": [ + "ㄐㄧㄚ4" + ], + "稽": [ + "ㄐㄧ1", + "ㄑㄧ3" + ], + "稾": [ + "ㄍㄠ3", + "ㄎㄠ4", + "ㄍㄠ4", + "ㄐㄧㄠ4" + ], + "稿": [ + "ㄍㄠ3" + ], + "穀": [ + "ㄍㄨ3" + ], + "穁": [ + "ㄖㄨㄥ2" + ], + "穂": [ + "ㄙㄨㄟ4" + ], + "穃": [ + "ㄖㄨㄥ5" + ], + "穄": [ + "ㄐㄧ4" + ], + "穅": [ + "ㄎㄤ1" + ], + "穆": [ + "ㄇㄨ4" + ], + "穇": [ + "ㄘㄢ3", + "ㄕㄢ1", + "ㄘㄣ1" + ], + "穈": [ + "ㄇㄟ2", + "ㄇㄣ2", + "ㄇㄧ2" + ], + "穉": [ + "ㄓ4", + "ㄔ2", + "ㄊㄧ2" + ], + "穊": [ + "ㄐㄧ4" + ], + "穋": [ + "ㄌㄨ4", + "ㄐㄧㄡ1" + ], + "穌": [ + "ㄙㄨ1" + ], + "積": [ + "ㄐㄧ1" + ], + "穎": [ + "ㄧㄥ3" + ], + "穏": [ + "ㄨㄣ3" + ], + "穐": [ + "ㄑㄧㄡ1" + ], + "穑": [ + "ㄙㄜ4" + ], + "穒": [ + "ㄏㄜ4" + ], + "穓": [ + "ㄧ4" + ], + "穔": [ + "ㄏㄨㄤ2" + ], + "穕": [ + "ㄑㄧㄝ4" + ], + "穖": [ + "ㄐㄧ3", + "ㄐㄧ4" + ], + "穗": [ + "ㄙㄨㄟ4" + ], + "穘": [ + "ㄒㄧㄠ1", + "ㄖㄠ4" + ], + "穙": [ + "ㄆㄨ2" + ], + "穚": [ + "ㄐㄧㄠ1" + ], + "穛": [ + "ㄓㄨㄛ1", + "ㄅㄛ2" + ], + "穜": [ + "ㄓㄨㄥ3", + "ㄊㄨㄥ2", + "ㄓㄨㄥ4" + ], + "穝": [ + "ㄗㄨㄟ5" + ], + "穞": [ + "ㄌㄩ3" + ], + "穟": [ + "ㄙㄨㄟ4" + ], + "穠": [ + "ㄋㄨㄥ2" + ], + "穡": [ + "ㄙㄜ4" + ], + "穢": [ + "ㄏㄨㄟ4" + ], + "穣": [ + "ㄖㄤ2" + ], + "穤": [ + "ㄋㄨㄛ4" + ], + "穥": [ + "ㄩ4", + "ㄩ3" + ], + "穦": [ + "ㄆㄧㄣ1" + ], + "穧": [ + "ㄐㄧ4", + "ㄗ4" + ], + "穨": [ + "ㄊㄨㄟ2" + ], + "穩": [ + "ㄨㄣ3" + ], + "穪": [ + "ㄔㄥ1", + "ㄅㄧㄝ2" + ], + "穫": [ + "ㄏㄨㄛ4", + "ㄏㄨ4" + ], + "穬": [ + "ㄎㄨㄤ4" + ], + "穭": [ + "ㄌㄩ3" + ], + "穮": [ + "ㄅㄧㄠ1", + "ㄆㄠ1" + ], + "穯": [ + "ㄙㄜ4" + ], + "穰": [ + "ㄖㄤ2", + "ㄖㄤ3", + "ㄖㄥ2" + ], + "穱": [ + "ㄓㄨㄛ1", + "ㄐㄩㄝ2" + ], + "穲": [ + "ㄌㄧ2" + ], + "穳": [ + "ㄘㄨㄢ2", + "ㄗㄢ4" + ], + "穴": [ + "ㄒㄩㄝ2", + "ㄐㄩㄝ2" + ], + "穵": [ + "ㄨㄚ1", + "ㄧㄚ4" + ], + "究": [ + "ㄐㄧㄡ1", + "ㄐㄧㄡ4" + ], + "穷": [ + "ㄑㄩㄥ2" + ], + "穸": [ + "ㄒㄧ1" + ], + "穹": [ + "ㄑㄩㄥ2", + "ㄑㄩㄥ1", + "ㄎㄨㄥ1" + ], + "空": [ + "ㄎㄨㄥ1", + "ㄎㄨㄥ4", + "ㄎㄨㄥ3" + ], + "穻": [ + "ㄩ1", + "ㄩ3" + ], + "穼": [ + "ㄕㄣ1" + ], + "穽": [ + "ㄐㄧㄥ3" + ], + "穾": [ + "ㄧㄠ4", + "ㄧㄠ3" + ], + "穿": [ + "ㄔㄨㄢ1", + "ㄔㄨㄢ4", + "ㄩㄢ1" + ], + "窀": [ + "ㄓㄨㄣ1", + "ㄊㄨㄣ2" + ], + "突": [ + "ㄊㄨ1" + ], + "窂": [ + "ㄌㄠ2" + ], + "窃": [ + "ㄑㄧㄝ4" + ], + "窄": [ + "ㄓㄞ3" + ], + "窅": [ + "ㄧㄠ3" + ], + "窆": [ + "ㄅㄧㄢ3" + ], + "窇": [ + "ㄅㄠ2" + ], + "窈": [ + "ㄧㄠ3", + "ㄧㄠ4" + ], + "窉": [ + "ㄅㄧㄥ3" + ], + "窊": [ + "ㄨㄚ1" + ], + "窋": [ + "ㄓㄨ2", + "ㄎㄨ1" + ], + "窌": [ + "ㄐㄧㄠ4", + "ㄆㄠ4", + "ㄌㄧㄠ2", + "ㄌㄧㄡ4" + ], + "窍": [ + "ㄑㄧㄠ4" + ], + "窎": [ + "ㄉㄧㄠ4" + ], + "窏": [ + "ㄨ1" + ], + "窐": [ + "ㄍㄨㄟ1", + "ㄨㄚ1" + ], + "窑": [ + "ㄧㄠ2" + ], + "窒": [ + "ㄓ4", + "ㄉㄧㄝ2" + ], + "窓": [ + "ㄔㄨㄤ1" + ], + "窔": [ + "ㄧㄠ4", + "ㄧㄠ3" + ], + "窕": [ + "ㄊㄧㄠ3", + "ㄊㄧㄠ1" + ], + "窖": [ + "ㄐㄧㄠ4", + "ㄗㄠ4" + ], + "窗": [ + "ㄔㄨㄤ1", + "ㄘㄨㄥ1" + ], + "窘": [ + "ㄐㄩㄥ3" + ], + "窙": [ + "ㄒㄧㄠ1" + ], + "窚": [ + "ㄔㄥ2" + ], + "窛": [ + "ㄎㄡ4" + ], + "窜": [ + "ㄘㄨㄢ4" + ], + "窝": [ + "ㄨㄛ1" + ], + "窞": [ + "ㄉㄢ4" + ], + "窟": [ + "ㄎㄨ1" + ], + "窠": [ + "ㄎㄜ1" + ], + "窡": [ + "ㄓㄨㄛ2" + ], + "窢": [ + "ㄒㄩ1" + ], + "窣": [ + "ㄙㄨ1" + ], + "窤": [ + "ㄍㄨㄢ1" + ], + "窥": [ + "ㄎㄨㄟ1" + ], + "窦": [ + "ㄉㄡ4" + ], + "窧": [ + "ㄓㄨㄛ5" + ], + "窨": [ + "ㄒㄩㄣ1", + "ㄧㄣ4", + "ㄧㄣ1" + ], + "窩": [ + "ㄨㄛ1" + ], + "窪": [ + "ㄨㄚ1" + ], + "窫": [ + "ㄧㄚ4", + "ㄧㄝ1" + ], + "窬": [ + "ㄩ2", + "ㄉㄡ1" + ], + "窭": [ + "ㄐㄩ4" + ], + "窮": [ + "ㄑㄩㄥ2" + ], + "窯": [ + "ㄧㄠ2", + "ㄧㄠ4", + "ㄑㄧㄠ1" + ], + "窰": [ + "ㄧㄠ2" + ], + "窱": [ + "ㄊㄧㄠ3" + ], + "窲": [ + "ㄔㄠ2" + ], + "窳": [ + "ㄩ3", + "ㄩ2" + ], + "窴": [ + "ㄊㄧㄢ2" + ], + "窵": [ + "ㄉㄧㄠ4" + ], + "窶": [ + "ㄐㄩ4", + "ㄌㄡ2" + ], + "窷": [ + "ㄌㄧㄠ4" + ], + "窸": [ + "ㄒㄧ1" + ], + "窹": [ + "ㄨ4" + ], + "窺": [ + "ㄎㄨㄟ1", + "ㄎㄨㄟ3" + ], + "窻": [ + "ㄔㄨㄤ1" + ], + "窼": [ + "ㄓㄠ1", + "ㄎㄜ1" + ], + "窽": [ + "ㄎㄨㄢ3" + ], + "窾": [ + "ㄎㄨㄢ3", + "ㄘㄨㄢ4" + ], + "窿": [ + "ㄌㄨㄥ2" + ], + "竀": [ + "ㄔㄥ1", + "ㄔㄥ4" + ], + "竁": [ + "ㄘㄨㄟ4" + ], + "竂": [ + "ㄌㄧㄠ2" + ], + "竃": [ + "ㄗㄠ4" + ], + "竄": [ + "ㄘㄨㄢ4", + "ㄘㄨㄢ1" + ], + "竅": [ + "ㄑㄧㄠ4" + ], + "竆": [ + "ㄑㄩㄥ2" + ], + "竇": [ + "ㄉㄡ4", + "ㄉㄨ2" + ], + "竈": [ + "ㄗㄠ4" + ], + "竉": [ + "ㄌㄨㄥ3" + ], + "竊": [ + "ㄑㄧㄝ4" + ], + "立": [ + "ㄌㄧ4", + "ㄨㄟ4" + ], + "竌": [ + "ㄔㄨ4" + ], + "竍": [ + "ㄕ2" + ], + "竎": [ + "ㄈㄨ4" + ], + "竏": [ + "ㄑㄧㄢ1" + ], + "竐": [ + "ㄔㄨ4" + ], + "竑": [ + "ㄏㄨㄥ2" + ], + "竒": [ + "ㄑㄧ2" + ], + "竓": [ + "ㄏㄠ2" + ], + "竔": [ + "ㄕㄥ1" + ], + "竕": [ + "ㄈㄣ1" + ], + "竖": [ + "ㄕㄨ4" + ], + "竗": [ + "ㄇㄧㄠ4" + ], + "竘": [ + "ㄑㄩ3", + "ㄎㄡ3" + ], + "站": [ + "ㄓㄢ4", + "ㄓㄢ1" + ], + "竚": [ + "ㄓㄨ4" + ], + "竛": [ + "ㄌㄧㄥ2" + ], + "竜": [ + "ㄌㄨㄥ2", + "ㄋㄥ2" + ], + "竝": [ + "ㄅㄧㄥ4" + ], + "竞": [ + "ㄐㄧㄥ4" + ], + "竟": [ + "ㄐㄧㄥ4" + ], + "章": [ + "ㄓㄤ1", + "ㄓㄤ4" + ], + "竡": [ + "ㄅㄞ3" + ], + "竢": [ + "ㄙ4" + ], + "竣": [ + "ㄐㄩㄣ4" + ], + "竤": [ + "ㄏㄨㄥ2" + ], + "童": [ + "ㄊㄨㄥ2", + "ㄓㄨㄥ1" + ], + "竦": [ + "ㄙㄨㄥ3" + ], + "竧": [ + "ㄐㄧㄥ4", + "ㄓㄣ3" + ], + "竨": [ + "ㄉㄧㄠ4" + ], + "竩": [ + "ㄧ4" + ], + "竪": [ + "ㄕㄨ4" + ], + "竫": [ + "ㄐㄧㄥ4" + ], + "竬": [ + "ㄑㄩ3" + ], + "竭": [ + "ㄐㄧㄝ2" + ], + "竮": [ + "ㄆㄧㄥ1" + ], + "端": [ + "ㄉㄨㄢ1" + ], + "竰": [ + "ㄌㄧ2" + ], + "竱": [ + "ㄓㄨㄢ3" + ], + "竲": [ + "ㄘㄥ2" + ], + "竳": [ + "ㄉㄥ1" + ], + "竴": [ + "ㄘㄨㄣ1" + ], + "竵": [ + "ㄨㄞ1", + "ㄏㄨㄚ1" + ], + "競": [ + "ㄐㄧㄥ4" + ], + "竷": [ + "ㄎㄢ3", + "ㄎㄢ4" + ], + "竸": [ + "ㄐㄧㄥ4" + ], + "竹": [ + "ㄓㄨ2" + ], + "竺": [ + "ㄓㄨ2", + "ㄉㄨ3" + ], + "竻": [ + "ㄌㄜ4", + "ㄐㄧㄣ1" + ], + "竼": [ + "ㄆㄥ2" + ], + "竽": [ + "ㄩ2" + ], + "竾": [ + "ㄔ2" + ], + "竿": [ + "ㄍㄢ1", + "ㄍㄢ4", + "ㄍㄢ3" + ], + "笀": [ + "ㄇㄤ2" + ], + "笁": [ + "ㄓㄨ2" + ], + "笂": [ + "ㄨㄢ2" + ], + "笃": [ + "ㄉㄨ3" + ], + "笄": [ + "ㄐㄧ1" + ], + "笅": [ + "ㄐㄧㄠ3" + ], + "笆": [ + "ㄅㄚ1" + ], + "笇": [ + "ㄙㄨㄢ4" + ], + "笈": [ + "ㄐㄧ2" + ], + "笉": [ + "ㄑㄧㄣ3" + ], + "笊": [ + "ㄓㄠ4" + ], + "笋": [ + "ㄙㄨㄣ3" + ], + "笌": [ + "ㄧㄚ2" + ], + "笍": [ + "ㄓㄨㄟ4", + "ㄖㄨㄟ4" + ], + "笎": [ + "ㄩㄢ2" + ], + "笏": [ + "ㄏㄨ4", + "ㄨㄣ3", + "ㄨ4" + ], + "笐": [ + "ㄏㄤ2", + "ㄏㄤ4" + ], + "笑": [ + "ㄒㄧㄠ4" + ], + "笒": [ + "ㄘㄣ2", + "ㄐㄧㄣ4", + "ㄏㄢ2" + ], + "笓": [ + "ㄅㄧ4", + "ㄆㄧ2", + "ㄅㄧ1" + ], + "笔": [ + "ㄅㄧ3" + ], + "笕": [ + "ㄐㄧㄢ3" + ], + "笖": [ + "ㄧ3" + ], + "笗": [ + "ㄉㄨㄥ1" + ], + "笘": [ + "ㄕㄢ1" + ], + "笙": [ + "ㄕㄥ1" + ], + "笚": [ + "ㄉㄚ1", + "ㄒㄧㄚ2", + "ㄋㄚ4" + ], + "笛": [ + "ㄉㄧ2" + ], + "笜": [ + "ㄓㄨ2" + ], + "笝": [ + "ㄋㄚ4" + ], + "笞": [ + "ㄔ1" + ], + "笟": [ + "ㄍㄨ1" + ], + "笠": [ + "ㄌㄧ4" + ], + "笡": [ + "ㄑㄧㄝ4" + ], + "笢": [ + "ㄇㄧㄣ3" + ], + "笣": [ + "ㄅㄠ1" + ], + "笤": [ + "ㄊㄧㄠ2", + "ㄕㄠ4" + ], + "笥": [ + "ㄙ4" + ], + "符": [ + "ㄈㄨ2" + ], + "笧": [ + "ㄘㄜ4", + "ㄕㄢ4" + ], + "笨": [ + "ㄅㄣ4" + ], + "笩": [ + "ㄈㄚ2" + ], + "笪": [ + "ㄉㄚ2" + ], + "笫": [ + "ㄗ3" + ], + "第": [ + "ㄉㄧ4" + ], + "笭": [ + "ㄌㄧㄥ2" + ], + "笮": [ + "ㄗㄜ2", + "ㄗㄨㄛ2", + "ㄓㄚ4" + ], + "笯": [ + "ㄋㄨ2" + ], + "笰": [ + "ㄈㄨ2", + "ㄈㄟ4" + ], + "笱": [ + "ㄍㄡ3" + ], + "笲": [ + "ㄈㄢ2" + ], + "笳": [ + "ㄐㄧㄚ1" + ], + "笴": [ + "ㄍㄢ3" + ], + "笵": [ + "ㄈㄢ4" + ], + "笶": [ + "ㄕ3" + ], + "笷": [ + "ㄇㄠ3" + ], + "笸": [ + "ㄆㄛ3" + ], + "笹": [ + "ㄊㄧ5" + ], + "笺": [ + "ㄐㄧㄢ1" + ], + "笻": [ + "ㄑㄩㄥ2" + ], + "笼": [ + "ㄌㄨㄥ2", + "ㄌㄨㄥ3" + ], + "笽": [ + "ㄇㄧㄣ3" + ], + "笾": [ + "ㄅㄧㄢ1" + ], + "笿": [ + "ㄌㄨㄛ4" + ], + "筀": [ + "ㄍㄨㄟ4" + ], + "筁": [ + "ㄑㄩ1" + ], + "筂": [ + "ㄔ2" + ], + "筃": [ + "ㄧㄣ1" + ], + "筄": [ + "ㄧㄠ4" + ], + "筅": [ + "ㄒㄧㄢ3" + ], + "筆": [ + "ㄅㄧ3" + ], + "筇": [ + "ㄑㄩㄥ2" + ], + "筈": [ + "ㄎㄨㄛ4" + ], + "等": [ + "ㄉㄥ3" + ], + "筊": [ + "ㄒㄧㄠ2", + "ㄐㄧㄠ3", + "ㄐㄧㄠ4" + ], + "筋": [ + "ㄐㄧㄣ1", + "ㄑㄧㄢ2" + ], + "筌": [ + "ㄑㄩㄢ2" + ], + "筍": [ + "ㄙㄨㄣ3", + "ㄩㄣ2", + "ㄒㄩㄣ4" + ], + "筎": [ + "ㄖㄨ2" + ], + "筏": [ + "ㄈㄚ2" + ], + "筐": [ + "ㄎㄨㄤ1" + ], + "筑": [ + "ㄓㄨ4", + "ㄓㄨ2" + ], + "筒": [ + "ㄊㄨㄥ3", + "ㄉㄨㄥ4", + "ㄊㄨㄥ2" + ], + "筓": [ + "ㄐㄧ1" + ], + "答": [ + "ㄉㄚ2", + "ㄉㄚ1" + ], + "筕": [ + "ㄏㄤ2" + ], + "策": [ + "ㄘㄜ4" + ], + "筗": [ + "ㄓㄨㄥ4" + ], + "筘": [ + "ㄎㄡ4" + ], + "筙": [ + "ㄌㄞ2" + ], + "筚": [ + "ㄅㄧ4" + ], + "筛": [ + "ㄕㄞ1" + ], + "筜": [ + "ㄉㄤ1" + ], + "筝": [ + "ㄓㄥ1" + ], + "筞": [ + "ㄘㄜ4" + ], + "筟": [ + "ㄈㄨ1" + ], + "筠": [ + "ㄩㄣ2", + "ㄐㄩㄣ1" + ], + "筡": [ + "ㄊㄨ2" + ], + "筢": [ + "ㄆㄚ2" + ], + "筣": [ + "ㄌㄧ2" + ], + "筤": [ + "ㄌㄤ2", + "ㄌㄤ4" + ], + "筥": [ + "ㄐㄩ3" + ], + "筦": [ + "ㄍㄨㄢ3" + ], + "筧": [ + "ㄐㄧㄢ3", + "ㄒㄧㄢ4" + ], + "筨": [ + "ㄏㄢ2" + ], + "筩": [ + "ㄊㄨㄥ2", + "ㄊㄨㄥ3", + "ㄩㄥ3", + "ㄉㄨㄥ4" + ], + "筪": [ + "ㄒㄧㄚ2" + ], + "筫": [ + "ㄓ4", + "ㄓ3" + ], + "筬": [ + "ㄔㄥ2" + ], + "筭": [ + "ㄙㄨㄢ4" + ], + "筮": [ + "ㄕ4" + ], + "筯": [ + "ㄓㄨ4" + ], + "筰": [ + "ㄗㄨㄛ2" + ], + "筱": [ + "ㄒㄧㄠ3" + ], + "筲": [ + "ㄕㄠ1" + ], + "筳": [ + "ㄊㄧㄥ2" + ], + "筴": [ + "ㄘㄜ4", + "ㄐㄧㄚ1", + "ㄐㄧㄚ2" + ], + "筵": [ + "ㄧㄢ2" + ], + "筶": [ + "ㄍㄠ4", + "ㄍㄠ3" + ], + "筷": [ + "ㄎㄨㄞ4" + ], + "筸": [ + "ㄍㄢ1" + ], + "筹": [ + "ㄔㄡ2" + ], + "筺": [ + "ㄎㄨㄤ1" + ], + "筻": [ + "ㄍㄤ4" + ], + "筼": [ + "ㄩㄣ2" + ], + "筽": [ + "ㄡ1", + "ㄨ2" + ], + "签": [ + "ㄑㄧㄢ1" + ], + "筿": [ + "ㄒㄧㄠ3" + ], + "简": [ + "ㄐㄧㄢ3" + ], + "箁": [ + "ㄆㄡ2", + "ㄅㄨ4", + "ㄈㄨ2", + "ㄆㄨ2" + ], + "箂": [ + "ㄌㄞ2" + ], + "箃": [ + "ㄗㄡ1" + ], + "箄": [ + "ㄅㄧ3", + "ㄅㄟ1", + "ㄅㄧ1", + "ㄅㄧ4", + "ㄆㄞ2" + ], + "箅": [ + "ㄅㄧ4" + ], + "箆": [ + "ㄅㄧ4" + ], + "箇": [ + "ㄍㄜ4" + ], + "箈": [ + "ㄊㄞ2", + "ㄔ2" + ], + "箉": [ + "ㄍㄨㄞ3", + "ㄉㄞ4" + ], + "箊": [ + "ㄩ1" + ], + "箋": [ + "ㄐㄧㄢ1" + ], + "箌": [ + "ㄉㄠ4", + "ㄓㄠ4" + ], + "箍": [ + "ㄍㄨ1" + ], + "箎": [ + "ㄔ2", + "ㄏㄨ3" + ], + "箏": [ + "ㄓㄥ1" + ], + "箐": [ + "ㄑㄧㄥ4", + "ㄐㄧㄥ1", + "ㄑㄧㄤ1" + ], + "箑": [ + "ㄕㄚ4", + "ㄓㄚ2" + ], + "箒": [ + "ㄓㄡ3" + ], + "箓": [ + "ㄌㄨ4" + ], + "箔": [ + "ㄅㄛ2" + ], + "箕": [ + "ㄐㄧ1" + ], + "箖": [ + "ㄌㄧㄣ2", + "ㄌㄧㄣ3" + ], + "算": [ + "ㄙㄨㄢ4" + ], + "箘": [ + "ㄐㄩㄣ4", + "ㄑㄩㄣ1" + ], + "箙": [ + "ㄈㄨ2" + ], + "箚": [ + "ㄓㄚ2" + ], + "箛": [ + "ㄍㄨ1" + ], + "箜": [ + "ㄎㄨㄥ1" + ], + "箝": [ + "ㄑㄧㄢ2" + ], + "箞": [ + "ㄑㄧㄢ1" + ], + "箟": [ + "ㄐㄩㄣ4" + ], + "箠": [ + "ㄔㄨㄟ2", + "ㄓㄨㄟ1" + ], + "管": [ + "ㄍㄨㄢ3" + ], + "箢": [ + "ㄩㄢ1", + "ㄨㄢ3" + ], + "箣": [ + "ㄘㄜ4" + ], + "箤": [ + "ㄗㄨ2" + ], + "箥": [ + "ㄅㄛ3" + ], + "箦": [ + "ㄗㄜ2" + ], + "箧": [ + "ㄑㄧㄝ4" + ], + "箨": [ + "ㄊㄨㄛ4" + ], + "箩": [ + "ㄌㄨㄛ2" + ], + "箪": [ + "ㄉㄢ1" + ], + "箫": [ + "ㄒㄧㄠ1" + ], + "箬": [ + "ㄖㄨㄛ4", + "ㄋㄚ4" + ], + "箭": [ + "ㄐㄧㄢ4" + ], + "箮": [ + "ㄒㄩㄢ1" + ], + "箯": [ + "ㄅㄧㄢ1" + ], + "箰": [ + "ㄙㄨㄣ3" + ], + "箱": [ + "ㄒㄧㄤ1" + ], + "箲": [ + "ㄒㄧㄢ3" + ], + "箳": [ + "ㄆㄧㄥ2" + ], + "箴": [ + "ㄓㄣ1", + "ㄐㄧㄢ3" + ], + "箵": [ + "ㄒㄧㄥ1", + "ㄒㄧㄥ3", + "ㄕㄥ3" + ], + "箶": [ + "ㄏㄨ2" + ], + "箷": [ + "ㄧ2", + "ㄕ1" + ], + "箸": [ + "ㄓㄨ4", + "ㄓㄨㄛ2" + ], + "箹": [ + "ㄩㄝ1", + "ㄧㄠ4", + "ㄔㄨㄛ4" + ], + "箺": [ + "ㄔㄨㄣ1" + ], + "箻": [ + "ㄌㄩ4" + ], + "箼": [ + "ㄨ1" + ], + "箽": [ + "ㄉㄨㄥ3" + ], + "箾": [ + "ㄕㄨㄛ4", + "ㄒㄧㄠ1", + "ㄑㄧㄠ4" + ], + "箿": [ + "ㄐㄧ2" + ], + "節": [ + "ㄐㄧㄝ2", + "ㄐㄧㄝ1" + ], + "篁": [ + "ㄏㄨㄤ2" + ], + "篂": [ + "ㄒㄧㄥ1" + ], + "篃": [ + "ㄇㄟ4" + ], + "範": [ + "ㄈㄢ4" + ], + "篅": [ + "ㄔㄨㄢ2", + "ㄉㄨㄢ1" + ], + "篆": [ + "ㄓㄨㄢ4" + ], + "篇": [ + "ㄆㄧㄢ1" + ], + "篈": [ + "ㄈㄥ1" + ], + "築": [ + "ㄓㄨ4", + "ㄓㄨ2" + ], + "篊": [ + "ㄏㄨㄤ2", + "ㄏㄨㄥ2" + ], + "篋": [ + "ㄑㄧㄝ4" + ], + "篌": [ + "ㄏㄡ2" + ], + "篍": [ + "ㄑㄧㄡ1" + ], + "篎": [ + "ㄇㄧㄠ3" + ], + "篏": [ + "ㄑㄧㄢ4" + ], + "篐": [ + "ㄍㄨ1" + ], + "篑": [ + "ㄎㄨㄟ4" + ], + "篒": [ + "ㄕ5" + ], + "篓": [ + "ㄌㄡ3" + ], + "篔": [ + "ㄩㄣ2", + "ㄒㄩㄣ1" + ], + "篕": [ + "ㄏㄜ2" + ], + "篖": [ + "ㄊㄤ2" + ], + "篗": [ + "ㄩㄝ4" + ], + "篘": [ + "ㄔㄡ1" + ], + "篙": [ + "ㄍㄠ1" + ], + "篚": [ + "ㄈㄟ3" + ], + "篛": [ + "ㄖㄨㄛ4" + ], + "篜": [ + "ㄓㄥ1" + ], + "篝": [ + "ㄍㄡ1" + ], + "篞": [ + "ㄋㄧㄝ4" + ], + "篟": [ + "ㄑㄧㄢ4" + ], + "篠": [ + "ㄒㄧㄠ3" + ], + "篡": [ + "ㄘㄨㄢ4" + ], + "篢": [ + "ㄌㄨㄥ3", + "ㄍㄨㄥ1", + "ㄍㄢ3" + ], + "篣": [ + "ㄆㄥ2", + "ㄆㄤ2" + ], + "篤": [ + "ㄉㄨ3" + ], + "篥": [ + "ㄌㄧ4" + ], + "篦": [ + "ㄅㄧ4", + "ㄆㄧ2" + ], + "篧": [ + "ㄓㄨㄛ2", + "ㄏㄨㄛ4" + ], + "篨": [ + "ㄔㄨ2" + ], + "篩": [ + "ㄕㄞ1", + "ㄕ1" + ], + "篪": [ + "ㄔ2" + ], + "篫": [ + "ㄓㄨ4" + ], + "篬": [ + "ㄑㄧㄤ1", + "ㄘㄤ1" + ], + "篭": [ + "ㄌㄨㄥ2" + ], + "篮": [ + "ㄌㄢ2" + ], + "篯": [ + "ㄐㄧㄢ1" + ], + "篰": [ + "ㄅㄨ4" + ], + "篱": [ + "ㄌㄧ2" + ], + "篲": [ + "ㄏㄨㄟ4", + "ㄙㄨㄟ4" + ], + "篳": [ + "ㄅㄧ4" + ], + "篴": [ + "ㄉㄧ2", + "ㄓㄨ2" + ], + "篵": [ + "ㄘㄨㄥ1" + ], + "篶": [ + "ㄧㄢ1" + ], + "篷": [ + "ㄆㄥ2" + ], + "篸": [ + "ㄘㄢ3", + "ㄘㄣ1", + "ㄗㄢ1" + ], + "篹": [ + "ㄓㄨㄢ4", + "ㄙㄨㄢ3", + "ㄗㄨㄢ3" + ], + "篺": [ + "ㄆㄧ2" + ], + "篻": [ + "ㄆㄧㄠ3", + "ㄅㄧㄠ1" + ], + "篼": [ + "ㄉㄡ1" + ], + "篽": [ + "ㄩ4" + ], + "篾": [ + "ㄇㄧㄝ4" + ], + "篿": [ + "ㄊㄨㄢ2", + "ㄓㄨㄢ1" + ], + "簀": [ + "ㄗㄜ2", + "ㄓㄞ4" + ], + "簁": [ + "ㄕㄞ1" + ], + "簂": [ + "ㄍㄨㄟ4", + "ㄍㄨㄛ2" + ], + "簃": [ + "ㄧ2" + ], + "簄": [ + "ㄏㄨ4" + ], + "簅": [ + "ㄔㄢ3" + ], + "簆": [ + "ㄎㄡ4" + ], + "簇": [ + "ㄘㄨ4", + "ㄔㄨㄛ4", + "ㄘㄡ4" + ], + "簈": [ + "ㄆㄧㄥ2" + ], + "簉": [ + "ㄗㄠ4", + "ㄔㄡ4" + ], + "簊": [ + "ㄐㄧ1" + ], + "簋": [ + "ㄍㄨㄟ3" + ], + "簌": [ + "ㄙㄨ4" + ], + "簍": [ + "ㄌㄡ3", + "ㄌㄩ3", + "ㄐㄩ4" + ], + "簎": [ + "ㄘㄜ4", + "ㄐㄧ2" + ], + "簏": [ + "ㄌㄨ4" + ], + "簐": [ + "ㄋㄧㄢ3" + ], + "簑": [ + "ㄙㄨㄛ1" + ], + "簒": [ + "ㄘㄨㄢ4" + ], + "簓": [ + "ㄉㄧㄠ1" + ], + "簔": [ + "ㄙㄨㄛ1" + ], + "簕": [ + "ㄌㄜ4" + ], + "簖": [ + "ㄉㄨㄢ4" + ], + "簗": [ + "ㄓㄨ4" + ], + "簘": [ + "ㄒㄧㄠ1" + ], + "簙": [ + "ㄅㄛ2" + ], + "簚": [ + "ㄇㄧ4" + ], + "簛": [ + "ㄕㄞ1", + "ㄙ1" + ], + "簜": [ + "ㄉㄤ4", + "ㄊㄤ1" + ], + "簝": [ + "ㄌㄧㄠ2" + ], + "簞": [ + "ㄉㄢ1" + ], + "簟": [ + "ㄉㄧㄢ4" + ], + "簠": [ + "ㄈㄨ3" + ], + "簡": [ + "ㄐㄧㄢ3" + ], + "簢": [ + "ㄇㄧㄣ3" + ], + "簣": [ + "ㄎㄨㄟ4" + ], + "簤": [ + "ㄉㄞ4" + ], + "簥": [ + "ㄐㄧㄠ1" + ], + "簦": [ + "ㄉㄥ1" + ], + "簧": [ + "ㄏㄨㄤ2" + ], + "簨": [ + "ㄙㄨㄣ3", + "ㄓㄨㄢ4" + ], + "簩": [ + "ㄌㄠ2" + ], + "簪": [ + "ㄗㄢ1", + "ㄗㄢ3" + ], + "簫": [ + "ㄒㄧㄠ1", + "ㄒㄧㄠ3" + ], + "簬": [ + "ㄌㄨ4" + ], + "簭": [ + "ㄕ4" + ], + "簮": [ + "ㄗㄢ1" + ], + "簯": [ + "ㄑㄧ5" + ], + "簰": [ + "ㄆㄞ2" + ], + "簱": [ + "ㄑㄧ2" + ], + "簲": [ + "ㄆㄞ2" + ], + "簳": [ + "ㄍㄢ3", + "ㄍㄢ4" + ], + "簴": [ + "ㄐㄩ4" + ], + "簵": [ + "ㄌㄨ4" + ], + "簶": [ + "ㄌㄨ4" + ], + "簷": [ + "ㄧㄢ2" + ], + "簸": [ + "ㄅㄛ3", + "ㄅㄛ4" + ], + "簹": [ + "ㄉㄤ1" + ], + "簺": [ + "ㄙㄞ4" + ], + "簻": [ + "ㄓㄨㄚ1", + "ㄎㄜ1" + ], + "簼": [ + "ㄍㄡ1" + ], + "簽": [ + "ㄑㄧㄢ1" + ], + "簾": [ + "ㄌㄧㄢ2" + ], + "簿": [ + "ㄅㄨ4", + "ㄅㄛ2" + ], + "籀": [ + "ㄓㄡ4" + ], + "籁": [ + "ㄌㄞ4" + ], + "籂": [ + "ㄕ5" + ], + "籃": [ + "ㄌㄢ2" + ], + "籄": [ + "ㄎㄨㄟ4" + ], + "籅": [ + "ㄩ2" + ], + "籆": [ + "ㄩㄝ4" + ], + "籇": [ + "ㄏㄠ2" + ], + "籈": [ + "ㄓㄣ1", + "ㄐㄧㄢ1" + ], + "籉": [ + "ㄊㄞ2" + ], + "籊": [ + "ㄊㄧ4" + ], + "籋": [ + "ㄋㄧㄝ4", + "ㄇㄧ2" + ], + "籌": [ + "ㄔㄡ2", + "ㄊㄠ2" + ], + "籍": [ + "ㄐㄧ2", + "ㄐㄧㄝ4" + ], + "籎": [ + "ㄧ2" + ], + "籏": [ + "ㄑㄧ2" + ], + "籐": [ + "ㄊㄥ2" + ], + "籑": [ + "ㄓㄨㄢ4", + "ㄗㄨㄢ3" + ], + "籒": [ + "ㄓㄡ4" + ], + "籓": [ + "ㄈㄢ1", + "ㄅㄢ1", + "ㄆㄢ1" + ], + "籔": [ + "ㄙㄡ3", + "ㄕㄨ3" + ], + "籕": [ + "ㄓㄡ4" + ], + "籖": [ + "ㄑㄧㄢ5" + ], + "籗": [ + "ㄓㄨㄛ2" + ], + "籘": [ + "ㄊㄥ2" + ], + "籙": [ + "ㄌㄨ4" + ], + "籚": [ + "ㄌㄨ2" + ], + "籛": [ + "ㄐㄧㄢ3", + "ㄐㄧㄢ1" + ], + "籜": [ + "ㄊㄨㄛ4" + ], + "籝": [ + "ㄧㄥ2" + ], + "籞": [ + "ㄩ4" + ], + "籟": [ + "ㄌㄞ4" + ], + "籠": [ + "ㄌㄨㄥ2", + "ㄌㄨㄥ3" + ], + "籡": [ + "ㄑㄧㄝ4" + ], + "籢": [ + "ㄌㄧㄢ2" + ], + "籣": [ + "ㄌㄢ2" + ], + "籤": [ + "ㄑㄧㄢ1" + ], + "籥": [ + "ㄩㄝ4" + ], + "籦": [ + "ㄓㄨㄥ1" + ], + "籧": [ + "ㄑㄩ2", + "ㄐㄩ3" + ], + "籨": [ + "ㄌㄧㄢ2" + ], + "籩": [ + "ㄅㄧㄢ1" + ], + "籪": [ + "ㄉㄨㄢ4" + ], + "籫": [ + "ㄗㄨㄢ3" + ], + "籬": [ + "ㄌㄧ2" + ], + "籭": [ + "ㄙ1" + ], + "籮": [ + "ㄌㄨㄛ2" + ], + "籯": [ + "ㄧㄥ2" + ], + "籰": [ + "ㄩㄝ4" + ], + "籱": [ + "ㄓㄨㄛ2" + ], + "籲": [ + "ㄩ4" + ], + "米": [ + "ㄇㄧ3" + ], + "籴": [ + "ㄉㄧ2", + "ㄗㄚ2" + ], + "籵": [ + "ㄈㄢ2" + ], + "籶": [ + "ㄕㄣ1" + ], + "籷": [ + "ㄓㄜ2" + ], + "籸": [ + "ㄕㄣ1" + ], + "籹": [ + "ㄋㄩ3" + ], + "籺": [ + "ㄏㄜ2" + ], + "类": [ + "ㄌㄟ4" + ], + "籼": [ + "ㄒㄧㄢ1" + ], + "籽": [ + "ㄗ3" + ], + "籾": [ + "ㄋㄧ2" + ], + "籿": [ + "ㄘㄨㄣ4" + ], + "粀": [ + "ㄓㄤ4" + ], + "粁": [ + "ㄑㄧㄢ1" + ], + "粂": [ + "ㄓㄞ1" + ], + "粃": [ + "ㄅㄧ3", + "ㄆㄧ1" + ], + "粄": [ + "ㄅㄢ3" + ], + "粅": [ + "ㄨ4" + ], + "粆": [ + "ㄕㄚ1", + "ㄔㄠ3" + ], + "粇": [ + "ㄎㄤ1", + "ㄐㄧㄥ1" + ], + "粈": [ + "ㄖㄡ2" + ], + "粉": [ + "ㄈㄣ3" + ], + "粊": [ + "ㄅㄧ4" + ], + "粋": [ + "ㄘㄨㄟ4" + ], + "粌": [ + "ㄧㄣ5" + ], + "粍": [ + "ㄓㄜ2" + ], + "粎": [ + "ㄇㄧ3" + ], + "粏": [ + "ㄊㄞ5" + ], + "粐": [ + "ㄏㄨ4" + ], + "粑": [ + "ㄅㄚ1" + ], + "粒": [ + "ㄌㄧ4" + ], + "粓": [ + "ㄍㄢ1" + ], + "粔": [ + "ㄐㄩ4" + ], + "粕": [ + "ㄆㄛ4" + ], + "粖": [ + "ㄇㄛ4" + ], + "粗": [ + "ㄘㄨ1" + ], + "粘": [ + "ㄓㄢ1", + "ㄋㄧㄢ2" + ], + "粙": [ + "ㄓㄡ4" + ], + "粚": [ + "ㄔ1" + ], + "粛": [ + "ㄙㄨ4" + ], + "粜": [ + "ㄊㄧㄠ4" + ], + "粝": [ + "ㄌㄧ4" + ], + "粞": [ + "ㄒㄧ1" + ], + "粟": [ + "ㄙㄨ4" + ], + "粠": [ + "ㄏㄨㄥ2" + ], + "粡": [ + "ㄊㄨㄥ2" + ], + "粢": [ + "ㄗ1", + "ㄘ2", + "ㄐㄧ4" + ], + "粣": [ + "ㄘㄜ4", + "ㄙㄜ4" + ], + "粤": [ + "ㄩㄝ4" + ], + "粥": [ + "ㄓㄡ1", + "ㄩ4" + ], + "粦": [ + "ㄌㄧㄣ2" + ], + "粧": [ + "ㄓㄨㄤ1" + ], + "粨": [ + "ㄅㄞ3" + ], + "粩": [ + "ㄌㄠ1" + ], + "粪": [ + "ㄈㄣ4" + ], + "粫": [ + "ㄦ2" + ], + "粬": [ + "ㄑㄩ1" + ], + "粭": [ + "ㄏㄜ2" + ], + "粮": [ + "ㄌㄧㄤ2" + ], + "粯": [ + "ㄒㄧㄢ4" + ], + "粰": [ + "ㄈㄨ2", + "ㄈㄨ1" + ], + "粱": [ + "ㄌㄧㄤ2" + ], + "粲": [ + "ㄘㄢ4" + ], + "粳": [ + "ㄐㄧㄥ1" + ], + "粴": [ + "ㄌㄧ3" + ], + "粵": [ + "ㄩㄝ4" + ], + "粶": [ + "ㄌㄨ4" + ], + "粷": [ + "ㄐㄩ2" + ], + "粸": [ + "ㄑㄧ2" + ], + "粹": [ + "ㄘㄨㄟ4", + "ㄙㄨㄟ4" + ], + "粺": [ + "ㄅㄞ4" + ], + "粻": [ + "ㄓㄤ1" + ], + "粼": [ + "ㄌㄧㄣ2", + "ㄌㄧㄣ3" + ], + "粽": [ + "ㄗㄨㄥ4" + ], + "精": [ + "ㄐㄧㄥ1", + "ㄑㄧㄥ2", + "ㄐㄧㄥ4" + ], + "粿": [ + "ㄍㄨㄛ3", + "ㄏㄨㄚ4" + ], + "糀": [ + "ㄏㄨㄚ1" + ], + "糁": [ + "ㄙㄢ3", + "ㄕㄣ1" + ], + "糂": [ + "ㄙㄢ3" + ], + "糃": [ + "ㄊㄤ2" + ], + "糄": [ + "ㄅㄧㄢ3", + "ㄅㄧㄢ1" + ], + "糅": [ + "ㄖㄡ2" + ], + "糆": [ + "ㄇㄧㄢ4" + ], + "糇": [ + "ㄏㄡ2" + ], + "糈": [ + "ㄒㄩ3" + ], + "糉": [ + "ㄗㄨㄥ4" + ], + "糊": [ + "ㄏㄨ2", + "ㄏㄨ1", + "ㄏㄨ4" + ], + "糋": [ + "ㄐㄧㄢ4" + ], + "糌": [ + "ㄗㄢ1" + ], + "糍": [ + "ㄘ2" + ], + "糎": [ + "ㄌㄧ2" + ], + "糏": [ + "ㄒㄧㄝ4" + ], + "糐": [ + "ㄈㄨ1" + ], + "糑": [ + "ㄋㄨㄛ4" + ], + "糒": [ + "ㄅㄟ4" + ], + "糓": [ + "ㄍㄨ3" + ], + "糔": [ + "ㄒㄧㄡ3" + ], + "糕": [ + "ㄍㄠ1" + ], + "糖": [ + "ㄊㄤ2" + ], + "糗": [ + "ㄑㄧㄡ3" + ], + "糘": [ + "ㄐㄧㄚ1" + ], + "糙": [ + "ㄘㄠ1" + ], + "糚": [ + "ㄓㄨㄤ1" + ], + "糛": [ + "ㄊㄤ2" + ], + "糜": [ + "ㄇㄧ2", + "ㄇㄟ2" + ], + "糝": [ + "ㄙㄢ3", + "ㄙㄢ1", + "ㄕㄣ1" + ], + "糞": [ + "ㄈㄣ4" + ], + "糟": [ + "ㄗㄠ1" + ], + "糠": [ + "ㄎㄤ1" + ], + "糡": [ + "ㄐㄧㄤ4" + ], + "糢": [ + "ㄇㄛ2" + ], + "糣": [ + "ㄙㄢ3" + ], + "糤": [ + "ㄙㄢ3" + ], + "糥": [ + "ㄋㄨㄛ4" + ], + "糦": [ + "ㄒㄧ1" + ], + "糧": [ + "ㄌㄧㄤ2" + ], + "糨": [ + "ㄐㄧㄤ4", + "ㄐㄧㄤ1" + ], + "糩": [ + "ㄎㄨㄞ4" + ], + "糪": [ + "ㄅㄛ4" + ], + "糫": [ + "ㄏㄨㄢ2" + ], + "糬": [ + "ㄕㄨ3" + ], + "糭": [ + "ㄗㄨㄥ4" + ], + "糮": [ + "ㄒㄧㄢ4" + ], + "糯": [ + "ㄋㄨㄛ4" + ], + "糰": [ + "ㄊㄨㄢ2" + ], + "糱": [ + "ㄋㄧㄝ4" + ], + "糲": [ + "ㄌㄧ4" + ], + "糳": [ + "ㄗㄨㄛ4" + ], + "糴": [ + "ㄉㄧ2" + ], + "糵": [ + "ㄋㄧㄝ4" + ], + "糶": [ + "ㄊㄧㄠ4", + "ㄉㄧㄠ4" + ], + "糷": [ + "ㄌㄢ4" + ], + "糸": [ + "ㄇㄧ4", + "ㄙ1" + ], + "糹": [ + "ㄙ1" + ], + "糺": [ + "ㄐㄧㄡ1", + "ㄐㄧㄡ3" + ], + "系": [ + "ㄒㄧ4", + "ㄐㄧ4" + ], + "糼": [ + "ㄍㄨㄥ1" + ], + "糽": [ + "ㄓㄥ3", + "ㄓㄥ1" + ], + "糾": [ + "ㄐㄧㄡ1", + "ㄐㄧㄠ3" + ], + "糿": [ + "ㄧㄡ4" + ], + "紀": [ + "ㄐㄧ4", + "ㄐㄧ3" + ], + "紁": [ + "ㄔㄚ4" + ], + "紂": [ + "ㄓㄡ4" + ], + "紃": [ + "ㄒㄩㄣ2" + ], + "約": [ + "ㄩㄝ1", + "ㄧㄠ1", + "ㄧㄠ4", + "ㄉㄧ4" + ], + "紅": [ + "ㄏㄨㄥ2", + "ㄍㄨㄥ1", + "ㄐㄧㄤ4" + ], + "紆": [ + "ㄩ1", + "ㄡ1" + ], + "紇": [ + "ㄏㄜ2", + "ㄍㄜ1", + "ㄐㄧㄝ2" + ], + "紈": [ + "ㄨㄢ2" + ], + "紉": [ + "ㄖㄣ4" + ], + "紊": [ + "ㄨㄣ3", + "ㄨㄣ4" + ], + "紋": [ + "ㄨㄣ2", + "ㄨㄣ4" + ], + "紌": [ + "ㄑㄧㄡ2" + ], + "納": [ + "ㄋㄚ4" + ], + "紎": [ + "ㄗ1" + ], + "紏": [ + "ㄊㄡ3" + ], + "紐": [ + "ㄋㄧㄡ3" + ], + "紑": [ + "ㄈㄡ2" + ], + "紒": [ + "ㄐㄧ4", + "ㄐㄧㄝ2", + "ㄐㄧㄝ4" + ], + "紓": [ + "ㄕㄨ1" + ], + "純": [ + "ㄔㄨㄣ2", + "ㄓㄨㄣ3", + "ㄊㄨㄣ2", + "ㄑㄩㄢ2", + "ㄗ1", + "ㄓㄨㄣ1" + ], + "紕": [ + "ㄆㄧ1", + "ㄆㄧ2", + "ㄅㄧ3", + "ㄅㄧ1", + "ㄅㄧ4", + "ㄔ3" + ], + "紖": [ + "ㄓㄣ4" + ], + "紗": [ + "ㄕㄚ1", + "ㄇㄧㄠ3" + ], + "紘": [ + "ㄏㄨㄥ2" + ], + "紙": [ + "ㄓ3" + ], + "級": [ + "ㄐㄧ2" + ], + "紛": [ + "ㄈㄣ1" + ], + "紜": [ + "ㄩㄣ2" + ], + "紝": [ + "ㄖㄣ4" + ], + "紞": [ + "ㄉㄢ3" + ], + "紟": [ + "ㄐㄧㄣ1", + "ㄐㄧㄣ4" + ], + "素": [ + "ㄙㄨ4" + ], + "紡": [ + "ㄈㄤ3", + "ㄅㄤ3", + "ㄈㄤ4" + ], + "索": [ + "ㄙㄨㄛ3" + ], + "紣": [ + "ㄘㄨㄟ4" + ], + "紤": [ + "ㄐㄧㄡ3" + ], + "紥": [ + "ㄗㄚ1", + "ㄓㄚ1" + ], + "紦": [ + "ㄅㄚ5" + ], + "紧": [ + "ㄐㄧㄣ3" + ], + "紨": [ + "ㄈㄨ1", + "ㄈㄨ4" + ], + "紩": [ + "ㄓ4" + ], + "紪": [ + "ㄑㄧ1" + ], + "紫": [ + "ㄗ3" + ], + "紬": [ + "ㄔㄡ2", + "ㄔㄡ1", + "ㄓㄡ4" + ], + "紭": [ + "ㄏㄨㄥ2" + ], + "紮": [ + "ㄗㄚ1", + "ㄓㄚ1" + ], + "累": [ + "ㄌㄟ4", + "ㄌㄟ2", + "ㄌㄟ3", + "ㄌㄩ4", + "ㄌㄧㄝ4" + ], + "細": [ + "ㄒㄧ4" + ], + "紱": [ + "ㄈㄨ2" + ], + "紲": [ + "ㄒㄧㄝ4", + "ㄧ4" + ], + "紳": [ + "ㄕㄣ1" + ], + "紴": [ + "ㄅㄛ1", + "ㄅㄧ4" + ], + "紵": [ + "ㄓㄨ4", + "ㄕㄨ1" + ], + "紶": [ + "ㄑㄩ1", + "ㄑㄩ3" + ], + "紷": [ + "ㄌㄧㄥ2" + ], + "紸": [ + "ㄓㄨ4" + ], + "紹": [ + "ㄕㄠ4", + "ㄔㄠ1" + ], + "紺": [ + "ㄍㄢ4" + ], + "紻": [ + "ㄧㄤ3" + ], + "紼": [ + "ㄈㄨ2", + "ㄈㄟ4" + ], + "紽": [ + "ㄊㄨㄛ2" + ], + "紾": [ + "ㄓㄣ3", + "ㄊㄧㄢ3", + "ㄐㄧㄣ3" + ], + "紿": [ + "ㄉㄞ4" + ], + "絀": [ + "ㄔㄨ4" + ], + "絁": [ + "ㄕ1" + ], + "終": [ + "ㄓㄨㄥ1" + ], + "絃": [ + "ㄒㄧㄢ2", + "ㄒㄩㄢ4" + ], + "組": [ + "ㄗㄨ3", + "ㄑㄩ1" + ], + "絅": [ + "ㄐㄩㄥ1", + "ㄐㄩㄥ3" + ], + "絆": [ + "ㄅㄢ4" + ], + "絇": [ + "ㄑㄩ2" + ], + "絈": [ + "ㄇㄛ4" + ], + "絉": [ + "ㄕㄨ4" + ], + "絊": [ + "ㄗㄨㄟ4" + ], + "絋": [ + "ㄎㄨㄤ4" + ], + "経": [ + "ㄐㄧㄥ1" + ], + "絍": [ + "ㄖㄣ4" + ], + "絎": [ + "ㄏㄤ2" + ], + "絏": [ + "ㄒㄧㄝ4", + "ㄧ4" + ], + "結": [ + "ㄐㄧㄝ2", + "ㄐㄧ4", + "ㄐㄧㄝ1" + ], + "絑": [ + "ㄓㄨ1" + ], + "絒": [ + "ㄔㄡ2" + ], + "絓": [ + "ㄍㄨㄚ4", + "ㄎㄨㄚ1" + ], + "絔": [ + "ㄅㄞ3", + "ㄇㄛ4" + ], + "絕": [ + "ㄐㄩㄝ2" + ], + "絖": [ + "ㄎㄨㄤ4" + ], + "絗": [ + "ㄏㄨ2" + ], + "絘": [ + "ㄘ4" + ], + "絙": [ + "ㄏㄨㄢ2", + "ㄍㄥ1" + ], + "絚": [ + "ㄍㄥ1" + ], + "絛": [ + "ㄊㄠ1" + ], + "絜": [ + "ㄐㄧㄝ2", + "ㄒㄧㄝ2", + "ㄑㄧㄚ4", + "ㄐㄧㄚ2", + "ㄑㄧ4" + ], + "絝": [ + "ㄎㄨ4" + ], + "絞": [ + "ㄐㄧㄠ3", + "ㄒㄧㄠ2", + "ㄐㄧㄠ4" + ], + "絟": [ + "ㄑㄩㄢ2" + ], + "絠": [ + "ㄍㄞ3", + "ㄞ3" + ], + "絡": [ + "ㄌㄨㄛ4", + "ㄌㄠ4" + ], + "絢": [ + "ㄒㄩㄢ4", + "ㄒㄩㄣ2" + ], + "絣": [ + "ㄅㄥ1", + "ㄅㄧㄥ1", + "ㄆㄥ1" + ], + "絤": [ + "ㄒㄧㄢ4" + ], + "絥": [ + "ㄈㄨ2" + ], + "給": [ + "ㄍㄟ3", + "ㄐㄧ3", + "ㄒㄧㄚ2" + ], + "絧": [ + "ㄉㄨㄥ4", + "ㄊㄨㄥ2", + "ㄊㄨㄥ1" + ], + "絨": [ + "ㄖㄨㄥ2" + ], + "絩": [ + "ㄊㄧㄠ4", + "ㄉㄧㄠ4", + "ㄉㄠ4" + ], + "絪": [ + "ㄧㄣ1" + ], + "絫": [ + "ㄌㄟ3" + ], + "絬": [ + "ㄒㄧㄝ4" + ], + "絭": [ + "ㄐㄩㄢ4" + ], + "絮": [ + "ㄒㄩ4", + "ㄔㄨ4", + "ㄋㄩ4", + "ㄋㄚ4" + ], + "絯": [ + "ㄍㄞ1", + "ㄏㄞ4" + ], + "絰": [ + "ㄉㄧㄝ2" + ], + "統": [ + "ㄊㄨㄥ3" + ], + "絲": [ + "ㄙ1" + ], + "絳": [ + "ㄐㄧㄤ4" + ], + "絴": [ + "ㄒㄧㄤ2" + ], + "絵": [ + "ㄏㄨㄟ4" + ], + "絶": [ + "ㄐㄩㄝ2" + ], + "絷": [ + "ㄓ2" + ], + "絸": [ + "ㄐㄧㄢ3" + ], + "絹": [ + "ㄐㄩㄢ4", + "ㄒㄩㄢ4" + ], + "絺": [ + "ㄔ1", + "ㄓ3" + ], + "絻": [ + "ㄇㄧㄢ3", + "ㄨㄣ4", + "ㄇㄢ2", + "ㄨㄢ4" + ], + "絼": [ + "ㄓㄣ4" + ], + "絽": [ + "ㄌㄩ3" + ], + "絾": [ + "ㄔㄥ2" + ], + "絿": [ + "ㄑㄧㄡ2" + ], + "綀": [ + "ㄕㄨ1" + ], + "綁": [ + "ㄅㄤ3" + ], + "綂": [ + "ㄊㄨㄥ3" + ], + "綃": [ + "ㄒㄧㄠ1", + "ㄕㄠ1" + ], + "綄": [ + "ㄏㄨㄢ2", + "ㄏㄨㄢ4", + "ㄨㄢ4" + ], + "綅": [ + "ㄑㄧㄣ1", + "ㄒㄧㄢ1" + ], + "綆": [ + "ㄍㄥ3", + "ㄅㄧㄥ3" + ], + "綇": [ + "ㄒㄧㄡ3" + ], + "綈": [ + "ㄊㄧ2", + "ㄊㄧ4" + ], + "綉": [ + "ㄊㄡ4", + "ㄒㄧㄡ4" + ], + "綊": [ + "ㄒㄧㄝ2" + ], + "綋": [ + "ㄏㄨㄥ2" + ], + "綌": [ + "ㄒㄧ4" + ], + "綍": [ + "ㄈㄨ2" + ], + "綎": [ + "ㄊㄧㄥ1" + ], + "綏": [ + "ㄙㄨㄟ1", + "ㄙㄨㄟ2", + "ㄕㄨㄞ1", + "ㄖㄨㄟ2", + "ㄊㄨㄛ3" + ], + "綐": [ + "ㄉㄨㄟ4" + ], + "綑": [ + "ㄎㄨㄣ3" + ], + "綒": [ + "ㄈㄨ1" + ], + "經": [ + "ㄐㄧㄥ1", + "ㄐㄧㄥ4" + ], + "綔": [ + "ㄏㄨ4" + ], + "綕": [ + "ㄓ1" + ], + "綖": [ + "ㄧㄢ2", + "ㄒㄧㄢ4" + ], + "綗": [ + "ㄐㄩㄥ3" + ], + "綘": [ + "ㄈㄥ2" + ], + "継": [ + "ㄐㄧ4" + ], + "続": [ + "ㄒㄩ4" + ], + "綛": [ + "ㄖㄣ3" + ], + "綜": [ + "ㄗㄨㄥ1", + "ㄗㄥ4", + "ㄗㄨㄥ4" + ], + "綝": [ + "ㄔㄣ1", + "ㄕㄣ1", + "ㄌㄧㄣ2" + ], + "綞": [ + "ㄉㄨㄛ3" + ], + "綟": [ + "ㄌㄧ4", + "ㄌㄧㄝ4" + ], + "綠": [ + "ㄌㄩ4" + ], + "綡": [ + "ㄌㄧㄤ2" + ], + "綢": [ + "ㄔㄡ2", + "ㄊㄠ1", + "ㄉㄧㄠ4" + ], + "綣": [ + "ㄑㄩㄢ3" + ], + "綤": [ + "ㄕㄠ4" + ], + "綥": [ + "ㄑㄧ2" + ], + "綦": [ + "ㄑㄧ2", + "ㄑㄧ4" + ], + "綧": [ + "ㄓㄨㄣ3", + "ㄓㄨㄣ4" + ], + "綨": [ + "ㄑㄧ2" + ], + "綩": [ + "ㄨㄢ3" + ], + "綪": [ + "ㄑㄧㄢ4", + "ㄑㄧㄥ1", + "ㄓㄥ1" + ], + "綫": [ + "ㄒㄧㄢ4" + ], + "綬": [ + "ㄕㄡ4" + ], + "維": [ + "ㄨㄟ2", + "ㄧ2" + ], + "綮": [ + "ㄑㄧ3", + "ㄑㄧㄥ4", + "ㄑㄧㄥ3" + ], + "綯": [ + "ㄊㄠ2" + ], + "綰": [ + "ㄨㄢ3" + ], + "綱": [ + "ㄍㄤ1" + ], + "網": [ + "ㄨㄤ3" + ], + "綳": [ + "ㄅㄥ1" + ], + "綴": [ + "ㄓㄨㄟ4", + "ㄔㄨㄛ4" + ], + "綵": [ + "ㄘㄞ3" + ], + "綶": [ + "ㄍㄨㄛ3" + ], + "綷": [ + "ㄘㄨㄟ4", + "ㄗㄨ2" + ], + "綸": [ + "ㄌㄨㄣ2", + "ㄍㄨㄢ1" + ], + "綹": [ + "ㄌㄧㄡ3" + ], + "綺": [ + "ㄑㄧ3", + "ㄧ3" + ], + "綻": [ + "ㄓㄢ4" + ], + "綼": [ + "ㄅㄧ4" + ], + "綽": [ + "ㄔㄨㄛ4", + "ㄔㄠ1" + ], + "綾": [ + "ㄌㄧㄥ2" + ], + "綿": [ + "ㄇㄧㄢ2" + ], + "緀": [ + "ㄑㄧ1" + ], + "緁": [ + "ㄑㄧㄝ4" + ], + "緂": [ + "ㄊㄧㄢ2", + "ㄊㄢ3", + "ㄔㄢ1" + ], + "緃": [ + "ㄗㄨㄥ1" + ], + "緄": [ + "ㄍㄨㄣ3", + "ㄏㄨㄣ4", + "ㄏㄨㄣ2" + ], + "緅": [ + "ㄗㄡ1" + ], + "緆": [ + "ㄒㄧ1" + ], + "緇": [ + "ㄗ1" + ], + "緈": [ + "ㄒㄧㄥ4" + ], + "緉": [ + "ㄌㄧㄤ3" + ], + "緊": [ + "ㄐㄧㄣ3" + ], + "緋": [ + "ㄈㄟ1" + ], + "緌": [ + "ㄖㄨㄟ2" + ], + "緍": [ + "ㄇㄧㄣ2" + ], + "緎": [ + "ㄩ4" + ], + "総": [ + "ㄗㄨㄥ3", + "ㄘㄨㄥ1" + ], + "緐": [ + "ㄈㄢ2" + ], + "緑": [ + "ㄌㄩ4", + "ㄌㄨ4" + ], + "緒": [ + "ㄒㄩ4" + ], + "緓": [ + "ㄧㄥ1" + ], + "緔": [ + "ㄕㄤ4" + ], + "緕": [ + "ㄑㄧ5" + ], + "緖": [ + "ㄒㄩ4" + ], + "緗": [ + "ㄒㄧㄤ1" + ], + "緘": [ + "ㄐㄧㄢ1" + ], + "緙": [ + "ㄎㄜ4" + ], + "線": [ + "ㄒㄧㄢ4" + ], + "緛": [ + "ㄖㄨㄢ3", + "ㄖㄨㄢ4" + ], + "緜": [ + "ㄇㄧㄢ2" + ], + "緝": [ + "ㄐㄧ1", + "ㄑㄧ4", + "ㄑㄧ1", + "ㄐㄧ2" + ], + "緞": [ + "ㄉㄨㄢ4" + ], + "緟": [ + "ㄔㄨㄥ2", + "ㄓㄨㄥ4" + ], + "締": [ + "ㄉㄧ4" + ], + "緡": [ + "ㄇㄧㄣ2", + "ㄇㄧㄣ3", + "ㄇㄧㄢ2", + "ㄏㄨㄣ2" + ], + "緢": [ + "ㄇㄧㄠ2", + "ㄇㄠ2" + ], + "緣": [ + "ㄩㄢ2", + "ㄩㄢ4" + ], + "緤": [ + "ㄒㄧㄝ4", + "ㄧㄝ4" + ], + "緥": [ + "ㄅㄠ3" + ], + "緦": [ + "ㄙ1" + ], + "緧": [ + "ㄑㄧㄡ1" + ], + "編": [ + "ㄅㄧㄢ1", + "ㄅㄧㄢ3", + "ㄅㄧㄢ4" + ], + "緩": [ + "ㄏㄨㄢ3" + ], + "緪": [ + "ㄍㄥ1", + "ㄍㄥ4" + ], + "緫": [ + "ㄘㄨㄥ1" + ], + "緬": [ + "ㄇㄧㄢ3" + ], + "緭": [ + "ㄨㄟ4" + ], + "緮": [ + "ㄈㄨ4" + ], + "緯": [ + "ㄨㄟ3" + ], + "緰": [ + "ㄊㄡ2", + "ㄒㄩ1", + "ㄩ2" + ], + "緱": [ + "ㄍㄡ1" + ], + "緲": [ + "ㄇㄧㄠ3" + ], + "緳": [ + "ㄒㄧㄝ2" + ], + "練": [ + "ㄌㄧㄢ4" + ], + "緵": [ + "ㄗㄨㄥ1", + "ㄗㄨㄥ4" + ], + "緶": [ + "ㄅㄧㄢ4", + "ㄆㄧㄢ2", + "ㄅㄧㄢ3" + ], + "緷": [ + "ㄩㄣ4", + "ㄍㄨㄣ3" + ], + "緸": [ + "ㄧㄣ1" + ], + "緹": [ + "ㄊㄧ2" + ], + "緺": [ + "ㄍㄨㄚ1" + ], + "緻": [ + "ㄓ4" + ], + "緼": [ + "ㄩㄣ4", + "ㄨㄣ1" + ], + "緽": [ + "ㄔㄥ1" + ], + "緾": [ + "ㄔㄢ2" + ], + "緿": [ + "ㄉㄞ4" + ], + "縀": [ + "ㄒㄧㄚ2" + ], + "縁": [ + "ㄩㄢ2" + ], + "縂": [ + "ㄗㄨㄥ3" + ], + "縃": [ + "ㄒㄩ1" + ], + "縄": [ + "ㄕㄥ2" + ], + "縅": [ + "ㄨㄟ1" + ], + "縆": [ + "ㄍㄥ1" + ], + "縇": [ + "ㄒㄩㄢ1" + ], + "縈": [ + "ㄧㄥ2" + ], + "縉": [ + "ㄐㄧㄣ4" + ], + "縊": [ + "ㄧ4" + ], + "縋": [ + "ㄓㄨㄟ4" + ], + "縌": [ + "ㄋㄧ4" + ], + "縍": [ + "ㄅㄤ1", + "ㄅㄤ4" + ], + "縎": [ + "ㄍㄨ3", + "ㄏㄨ2" + ], + "縏": [ + "ㄆㄢ2" + ], + "縐": [ + "ㄓㄡ4", + "ㄔㄠ4", + "ㄘㄨ4", + "ㄓㄡ1" + ], + "縑": [ + "ㄐㄧㄢ1" + ], + "縒": [ + "ㄘ1", + "ㄘㄨㄛ4", + "ㄙㄨㄛ3" + ], + "縓": [ + "ㄑㄩㄢ2" + ], + "縔": [ + "ㄕㄨㄤ3" + ], + "縕": [ + "ㄩㄣ4" + ], + "縖": [ + "ㄒㄧㄚ2" + ], + "縗": [ + "ㄘㄨㄟ1", + "ㄙㄨㄟ1", + "ㄕㄨㄞ1" + ], + "縘": [ + "ㄒㄧ1" + ], + "縙": [ + "ㄖㄨㄥ2", + "ㄖㄨㄥ3", + "ㄖㄨㄥ4" + ], + "縚": [ + "ㄊㄠ1" + ], + "縛": [ + "ㄈㄨ4" + ], + "縜": [ + "ㄩㄣ2" + ], + "縝": [ + "ㄔㄣ1", + "ㄓㄣ3" + ], + "縞": [ + "ㄍㄠ3" + ], + "縟": [ + "ㄖㄨ4", + "ㄖㄨㄥ3" + ], + "縠": [ + "ㄏㄨ2" + ], + "縡": [ + "ㄗㄞ4", + "ㄗㄥ1" + ], + "縢": [ + "ㄊㄥ2" + ], + "縣": [ + "ㄒㄧㄢ4", + "ㄒㄩㄢ2" + ], + "縤": [ + "ㄙㄨ4" + ], + "縥": [ + "ㄓㄣ3" + ], + "縦": [ + "ㄗㄨㄥ4" + ], + "縧": [ + "ㄊㄠ1" + ], + "縨": [ + "ㄏㄨㄤ3" + ], + "縩": [ + "ㄘㄞ4" + ], + "縪": [ + "ㄅㄧ4" + ], + "縫": [ + "ㄈㄥ4", + "ㄈㄥ2" + ], + "縬": [ + "ㄘㄨ4" + ], + "縭": [ + "ㄌㄧ2" + ], + "縮": [ + "ㄙㄨㄛ1", + "ㄙㄨ4" + ], + "縯": [ + "ㄧㄢ3", + "ㄧㄣ3" + ], + "縰": [ + "ㄒㄧ3" + ], + "縱": [ + "ㄗㄨㄥ4", + "ㄘㄨㄥ2", + "ㄗㄨㄥ3" + ], + "縲": [ + "ㄌㄟ2" + ], + "縳": [ + "ㄐㄩㄢ4", + "ㄓㄨㄢ4" + ], + "縴": [ + "ㄑㄧㄢ4", + "ㄑㄧㄢ1" + ], + "縵": [ + "ㄇㄢ4" + ], + "縶": [ + "ㄓ2" + ], + "縷": [ + "ㄌㄩ3" + ], + "縸": [ + "ㄇㄨ4", + "ㄇㄛ4" + ], + "縹": [ + "ㄆㄧㄠ3", + "ㄆㄧㄠ1" + ], + "縺": [ + "ㄌㄧㄢ2" + ], + "縻": [ + "ㄇㄧ2" + ], + "縼": [ + "ㄒㄩㄢ4" + ], + "總": [ + "ㄗㄨㄥ3", + "ㄗㄨㄥ1", + "ㄘㄨㄥ1" + ], + "績": [ + "ㄐㄧ1" + ], + "縿": [ + "ㄕㄢ1", + "ㄒㄧㄢ1", + "ㄒㄧㄠ1", + "ㄙㄠ1", + "ㄘㄢ3" + ], + "繀": [ + "ㄙㄨㄟ4", + "ㄘㄨㄟ3" + ], + "繁": [ + "ㄈㄢ2", + "ㄆㄛ2", + "ㄆㄢ2" + ], + "繂": [ + "ㄌㄩ4" + ], + "繃": [ + "ㄅㄥ3", + "ㄅㄥ1", + "ㄅㄥ4" + ], + "繄": [ + "ㄧ1", + "ㄧ4" + ], + "繅": [ + "ㄙㄠ1", + "ㄗㄠ3" + ], + "繆": [ + "ㄇㄡ2", + "ㄐㄧㄡ1", + "ㄇㄧㄡ4", + "ㄇㄨ4", + "ㄇㄧㄠ4", + "ㄌㄧㄠ2", + "ㄌㄧㄠ3", + "ㄌㄧㄠ4", + "ㄌㄨ4" + ], + "繇": [ + "ㄧㄠ2", + "ㄧㄡ2", + "ㄓㄡ4" + ], + "繈": [ + "ㄑㄧㄤ3" + ], + "繉": [ + "ㄏㄨㄣ2" + ], + "繊": [ + "ㄒㄧㄢ1" + ], + "繋": [ + "ㄐㄧ4" + ], + "繌": [ + "ㄕㄚ5" + ], + "繍": [ + "ㄒㄧㄡ4" + ], + "繎": [ + "ㄖㄢ2" + ], + "繏": [ + "ㄒㄩㄢ4" + ], + "繐": [ + "ㄙㄨㄟ4" + ], + "繑": [ + "ㄑㄧㄠ1", + "ㄐㄩㄝ1" + ], + "繒": [ + "ㄗㄥ1", + "ㄗㄥ4", + "ㄘㄥ2" + ], + "繓": [ + "ㄗㄨㄛ3" + ], + "織": [ + "ㄓ1", + "ㄓ4" + ], + "繕": [ + "ㄕㄢ4" + ], + "繖": [ + "ㄙㄢ3" + ], + "繗": [ + "ㄌㄧㄣ2" + ], + "繘": [ + "ㄩ4", + "ㄐㄩㄝ2" + ], + "繙": [ + "ㄈㄢ1", + "ㄈㄢ2" + ], + "繚": [ + "ㄌㄧㄠ2", + "ㄖㄠ3" + ], + "繛": [ + "ㄔㄨㄛ4" + ], + "繜": [ + "ㄗㄨㄣ1" + ], + "繝": [ + "ㄐㄧㄢ4" + ], + "繞": [ + "ㄖㄠ4", + "ㄖㄠ3" + ], + "繟": [ + "ㄔㄢ3", + "ㄔㄢ2" + ], + "繠": [ + "ㄖㄨㄟ3" + ], + "繡": [ + "ㄒㄧㄡ4" + ], + "繢": [ + "ㄏㄨㄟ4", + "ㄏㄨㄟ2" + ], + "繣": [ + "ㄏㄨㄚ4" + ], + "繤": [ + "ㄗㄨㄢ3" + ], + "繥": [ + "ㄒㄧ1" + ], + "繦": [ + "ㄑㄧㄤ3" + ], + "繧": [ + "ㄩㄣ5" + ], + "繨": [ + "ㄉㄚ5" + ], + "繩": [ + "ㄕㄥ2", + "ㄧㄥ4", + "ㄇㄧㄣ3", + "ㄕㄥ4" + ], + "繪": [ + "ㄏㄨㄟ4", + "ㄍㄨㄟ4" + ], + "繫": [ + "ㄒㄧ4", + "ㄐㄧ4" + ], + "繬": [ + "ㄙㄜ4" + ], + "繭": [ + "ㄐㄧㄢ3" + ], + "繮": [ + "ㄐㄧㄤ1" + ], + "繯": [ + "ㄏㄨㄢ2" + ], + "繰": [ + "ㄗㄠ3", + "ㄙㄠ1", + "ㄑㄧㄠ1" + ], + "繱": [ + "ㄘㄨㄥ1" + ], + "繲": [ + "ㄒㄧㄝ4" + ], + "繳": [ + "ㄐㄧㄠ3", + "ㄓㄨㄛ2", + "ㄐㄧㄠ4", + "ㄏㄜ2" + ], + "繴": [ + "ㄅㄧ4" + ], + "繵": [ + "ㄉㄢ4", + "ㄊㄢ2", + "ㄔㄢ2" + ], + "繶": [ + "ㄧ4" + ], + "繷": [ + "ㄋㄨㄥ3" + ], + "繸": [ + "ㄙㄨㄟ4" + ], + "繹": [ + "ㄧ4", + "ㄕ4" + ], + "繺": [ + "ㄕㄞ3" + ], + "繻": [ + "ㄒㄩ1", + "ㄖㄨ2" + ], + "繼": [ + "ㄐㄧ4" + ], + "繽": [ + "ㄅㄧㄣ1" + ], + "繾": [ + "ㄑㄧㄢ3" + ], + "繿": [ + "ㄌㄢ2" + ], + "纀": [ + "ㄆㄨ2", + "ㄈㄨ2" + ], + "纁": [ + "ㄒㄩㄣ1" + ], + "纂": [ + "ㄗㄨㄢ3" + ], + "纃": [ + "ㄑㄧ2" + ], + "纄": [ + "ㄆㄥ2" + ], + "纅": [ + "ㄧㄠ4", + "ㄌㄧ4" + ], + "纆": [ + "ㄇㄛ4" + ], + "纇": [ + "ㄌㄟ4" + ], + "纈": [ + "ㄒㄧㄝ2" + ], + "纉": [ + "ㄗㄨㄢ3" + ], + "纊": [ + "ㄎㄨㄤ4" + ], + "纋": [ + "ㄧㄡ1" + ], + "續": [ + "ㄒㄩ4" + ], + "纍": [ + "ㄌㄟ2", + "ㄌㄟ3", + "ㄌㄟ4" + ], + "纎": [ + "ㄒㄧㄢ1" + ], + "纏": [ + "ㄔㄢ2" + ], + "纐": [ + "ㄐㄧㄠ3" + ], + "纑": [ + "ㄌㄨ2" + ], + "纒": [ + "ㄔㄢ2" + ], + "纓": [ + "ㄧㄥ1" + ], + "纔": [ + "ㄘㄞ2", + "ㄕㄢ1" + ], + "纕": [ + "ㄖㄤ3", + "ㄒㄧㄤ1", + "ㄙㄤ1" + ], + "纖": [ + "ㄒㄧㄢ1", + "ㄐㄧㄢ1" + ], + "纗": [ + "ㄗㄨㄟ1" + ], + "纘": [ + "ㄗㄨㄢ3" + ], + "纙": [ + "ㄌㄨㄛ4" + ], + "纚": [ + "ㄌㄧ2", + "ㄒㄧ3", + "ㄌㄧ3", + "ㄙㄚ3" + ], + "纛": [ + "ㄉㄠ4", + "ㄉㄨ2" + ], + "纜": [ + "ㄌㄢ3" + ], + "纝": [ + "ㄌㄟ2" + ], + "纞": [ + "ㄌㄧㄢ4" + ], + "纟": [ + "ㄙ1" + ], + "纠": [ + "ㄐㄧㄡ1" + ], + "纡": [ + "ㄩ1" + ], + "红": [ + "ㄏㄨㄥ2", + "ㄍㄨㄥ1" + ], + "纣": [ + "ㄓㄡ4" + ], + "纤": [ + "ㄒㄧㄢ1", + "ㄑㄧㄢ4" + ], + "纥": [ + "ㄍㄜ1", + "ㄏㄜ2" + ], + "约": [ + "ㄩㄝ1", + "ㄧㄠ1" + ], + "级": [ + "ㄐㄧ2" + ], + "纨": [ + "ㄨㄢ2" + ], + "纩": [ + "ㄎㄨㄤ4" + ], + "纪": [ + "ㄐㄧ4", + "ㄐㄧ3" + ], + "纫": [ + "ㄖㄣ4" + ], + "纬": [ + "ㄨㄟ3" + ], + "纭": [ + "ㄩㄣ2" + ], + "纮": [ + "ㄏㄨㄥ2" + ], + "纯": [ + "ㄔㄨㄣ2" + ], + "纰": [ + "ㄆㄧ1" + ], + "纱": [ + "ㄕㄚ1" + ], + "纲": [ + "ㄍㄤ1" + ], + "纳": [ + "ㄋㄚ4" + ], + "纴": [ + "ㄖㄣ4" + ], + "纵": [ + "ㄗㄨㄥ4" + ], + "纶": [ + "ㄌㄨㄣ2", + "ㄍㄨㄢ1" + ], + "纷": [ + "ㄈㄣ1" + ], + "纸": [ + "ㄓ3" + ], + "纹": [ + "ㄨㄣ2", + "ㄨㄣ4" + ], + "纺": [ + "ㄈㄤ3" + ], + "纻": [ + "ㄓㄨ4" + ], + "纼": [ + "ㄓㄣ4" + ], + "纽": [ + "ㄋㄧㄡ3" + ], + "纾": [ + "ㄕㄨ1" + ], + "线": [ + "ㄒㄧㄢ4" + ], + "绀": [ + "ㄍㄢ4" + ], + "绁": [ + "ㄒㄧㄝ4" + ], + "绂": [ + "ㄈㄨ2" + ], + "练": [ + "ㄌㄧㄢ4" + ], + "组": [ + "ㄗㄨ3" + ], + "绅": [ + "ㄕㄣ1" + ], + "细": [ + "ㄒㄧ4" + ], + "织": [ + "ㄓ1" + ], + "终": [ + "ㄓㄨㄥ1" + ], + "绉": [ + "ㄓㄡ4" + ], + "绊": [ + "ㄅㄢ4" + ], + "绋": [ + "ㄈㄨ2" + ], + "绌": [ + "ㄔㄨ4" + ], + "绍": [ + "ㄕㄠ4" + ], + "绎": [ + "ㄧ4" + ], + "经": [ + "ㄐㄧㄥ1", + "ㄐㄧㄥ4" + ], + "绐": [ + "ㄉㄞ4" + ], + "绑": [ + "ㄅㄤ3" + ], + "绒": [ + "ㄖㄨㄥ2" + ], + "结": [ + "ㄐㄧㄝ2", + "ㄐㄧㄝ1" + ], + "绔": [ + "ㄎㄨ4" + ], + "绕": [ + "ㄖㄠ4", + "ㄖㄠ3" + ], + "绖": [ + "ㄉㄧㄝ2" + ], + "绗": [ + "ㄏㄤ2" + ], + "绘": [ + "ㄏㄨㄟ4" + ], + "给": [ + "ㄍㄟ3", + "ㄐㄧ3" + ], + "绚": [ + "ㄒㄩㄢ4" + ], + "绛": [ + "ㄐㄧㄤ4" + ], + "络": [ + "ㄌㄨㄛ4", + "ㄌㄠ4" + ], + "绝": [ + "ㄐㄩㄝ2" + ], + "绞": [ + "ㄐㄧㄠ3" + ], + "统": [ + "ㄊㄨㄥ3" + ], + "绠": [ + "ㄍㄥ3" + ], + "绡": [ + "ㄒㄧㄠ1" + ], + "绢": [ + "ㄐㄩㄢ4" + ], + "绣": [ + "ㄒㄧㄡ4" + ], + "绤": [ + "ㄒㄧ4" + ], + "绥": [ + "ㄙㄨㄟ2" + ], + "绦": [ + "ㄊㄠ1" + ], + "继": [ + "ㄐㄧ4" + ], + "绨": [ + "ㄊㄧ2", + "ㄊㄧ4" + ], + "绩": [ + "ㄐㄧ4", + "ㄐㄧ1" + ], + "绪": [ + "ㄒㄩ4" + ], + "绫": [ + "ㄌㄧㄥ2" + ], + "绬": [ + "ㄧㄥ1" + ], + "续": [ + "ㄒㄩ4" + ], + "绮": [ + "ㄑㄧ3" + ], + "绯": [ + "ㄈㄟ1" + ], + "绰": [ + "ㄔㄨㄛ4", + "ㄔㄠ1" + ], + "绱": [ + "ㄕㄤ4" + ], + "绲": [ + "ㄍㄨㄣ3" + ], + "绳": [ + "ㄕㄥ2" + ], + "维": [ + "ㄨㄟ2" + ], + "绵": [ + "ㄇㄧㄢ2" + ], + "绶": [ + "ㄕㄡ4" + ], + "绷": [ + "ㄅㄥ1", + "ㄅㄥ3", + "ㄅㄥ4" + ], + "绸": [ + "ㄔㄡ2" + ], + "绹": [ + "ㄊㄠ2" + ], + "绺": [ + "ㄌㄧㄡ3" + ], + "绻": [ + "ㄑㄩㄢ3" + ], + "综": [ + "ㄗㄨㄥ1", + "ㄗㄥ4" + ], + "绽": [ + "ㄓㄢ4" + ], + "绾": [ + "ㄨㄢ3" + ], + "绿": [ + "ㄌㄩ4", + "ㄌㄨ4" + ], + "缀": [ + "ㄓㄨㄟ4" + ], + "缁": [ + "ㄗ1" + ], + "缂": [ + "ㄎㄜ4" + ], + "缃": [ + "ㄒㄧㄤ1" + ], + "缄": [ + "ㄐㄧㄢ1" + ], + "缅": [ + "ㄇㄧㄢ3" + ], + "缆": [ + "ㄌㄢ3" + ], + "缇": [ + "ㄊㄧ2" + ], + "缈": [ + "ㄇㄧㄠ3" + ], + "缉": [ + "ㄐㄧ1", + "ㄑㄧ1" + ], + "缊": [ + "ㄩㄣ1", + "ㄩㄣ4" + ], + "缋": [ + "ㄏㄨㄟ4" + ], + "缌": [ + "ㄙ1" + ], + "缍": [ + "ㄉㄨㄛ3" + ], + "缎": [ + "ㄉㄨㄢ4" + ], + "缏": [ + "ㄅㄧㄢ4", + "ㄆㄧㄢ2" + ], + "缐": [ + "ㄒㄧㄢ4" + ], + "缑": [ + "ㄍㄡ1" + ], + "缒": [ + "ㄓㄨㄟ4" + ], + "缓": [ + "ㄏㄨㄢ3" + ], + "缔": [ + "ㄉㄧ4" + ], + "缕": [ + "ㄌㄩ3" + ], + "编": [ + "ㄅㄧㄢ1" + ], + "缗": [ + "ㄇㄧㄣ2" + ], + "缘": [ + "ㄩㄢ2" + ], + "缙": [ + "ㄐㄧㄣ4" + ], + "缚": [ + "ㄈㄨ4" + ], + "缛": [ + "ㄖㄨ4" + ], + "缜": [ + "ㄓㄣ3" + ], + "缝": [ + "ㄈㄥ4", + "ㄈㄥ2" + ], + "缞": [ + "ㄘㄨㄟ1" + ], + "缟": [ + "ㄍㄠ3" + ], + "缠": [ + "ㄔㄢ2" + ], + "缡": [ + "ㄌㄧ2" + ], + "缢": [ + "ㄧ4" + ], + "缣": [ + "ㄐㄧㄢ1" + ], + "缤": [ + "ㄅㄧㄣ1" + ], + "缥": [ + "ㄆㄧㄠ1", + "ㄆㄧㄠ3" + ], + "缦": [ + "ㄇㄢ4" + ], + "缧": [ + "ㄌㄟ2" + ], + "缨": [ + "ㄧㄥ1" + ], + "缩": [ + "ㄙㄨㄛ1", + "ㄙㄨ4" + ], + "缪": [ + "ㄇㄡ2", + "ㄇㄧㄠ4", + "ㄇㄧㄡ4" + ], + "缫": [ + "ㄙㄠ1" + ], + "缬": [ + "ㄒㄧㄝ2" + ], + "缭": [ + "ㄌㄧㄠ2" + ], + "缮": [ + "ㄕㄢ4" + ], + "缯": [ + "ㄗㄥ1", + "ㄗㄥ4" + ], + "缰": [ + "ㄐㄧㄤ1" + ], + "缱": [ + "ㄑㄧㄢ3" + ], + "缲": [ + "ㄑㄧㄠ1", + "ㄙㄠ1" + ], + "缳": [ + "ㄏㄨㄢ2" + ], + "缴": [ + "ㄐㄧㄠ3", + "ㄓㄨㄛ2" + ], + "缵": [ + "ㄗㄨㄢ3" + ], + "缶": [ + "ㄈㄡ3" + ], + "缷": [ + "ㄒㄧㄝ4" + ], + "缸": [ + "ㄍㄤ1" + ], + "缹": [ + "ㄈㄡ3" + ], + "缺": [ + "ㄑㄩㄝ1", + "ㄎㄨㄟ3" + ], + "缻": [ + "ㄈㄡ3" + ], + "缼": [ + "ㄑㄧ5" + ], + "缽": [ + "ㄅㄛ1" + ], + "缾": [ + "ㄆㄧㄥ2" + ], + "缿": [ + "ㄒㄧㄤ4" + ], + "罀": [ + "ㄓㄠ5" + ], + "罁": [ + "ㄍㄤ1" + ], + "罂": [ + "ㄧㄥ1" + ], + "罃": [ + "ㄧㄥ1" + ], + "罄": [ + "ㄑㄧㄥ4" + ], + "罅": [ + "ㄒㄧㄚ4" + ], + "罆": [ + "ㄍㄨㄢ4" + ], + "罇": [ + "ㄗㄨㄣ1" + ], + "罈": [ + "ㄊㄢ2" + ], + "罉": [ + "ㄔㄥ1" + ], + "罊": [ + "ㄑㄧ4" + ], + "罋": [ + "ㄨㄥ4" + ], + "罌": [ + "ㄧㄥ1" + ], + "罍": [ + "ㄌㄟ2" + ], + "罎": [ + "ㄊㄢ2" + ], + "罏": [ + "ㄌㄨ2" + ], + "罐": [ + "ㄍㄨㄢ4" + ], + "网": [ + "ㄨㄤ3" + ], + "罒": [ + "ㄨㄤ3" + ], + "罓": [ + "ㄍㄤ1" + ], + "罔": [ + "ㄨㄤ3", + "ㄨㄤ2" + ], + "罕": [ + "ㄏㄢ3", + "ㄏㄢ4" + ], + "罖": [ + "ㄌㄨㄛ2" + ], + "罗": [ + "ㄌㄨㄛ2", + "ㄌㄨㄛ1" + ], + "罘": [ + "ㄈㄨ2" + ], + "罙": [ + "ㄕㄣ1" + ], + "罚": [ + "ㄈㄚ2" + ], + "罛": [ + "ㄍㄨ1" + ], + "罜": [ + "ㄓㄨ3", + "ㄉㄨ2" + ], + "罝": [ + "ㄐㄩ1", + "ㄐㄧㄝ1" + ], + "罞": [ + "ㄇㄠ2" + ], + "罟": [ + "ㄍㄨ3" + ], + "罠": [ + "ㄇㄧㄣ2" + ], + "罡": [ + "ㄍㄤ1" + ], + "罢": [ + "ㄅㄚ4", + "ㄅㄚ5" + ], + "罣": [ + "ㄍㄨㄚ4" + ], + "罤": [ + "ㄊㄧ2", + "ㄎㄨㄣ1" + ], + "罥": [ + "ㄐㄩㄢ4" + ], + "罦": [ + "ㄈㄨ2" + ], + "罧": [ + "ㄕㄣ4" + ], + "罨": [ + "ㄧㄢ3" + ], + "罩": [ + "ㄓㄠ4" + ], + "罪": [ + "ㄗㄨㄟ4" + ], + "罫": [ + "ㄍㄨㄚ4", + "ㄏㄨㄚ4", + "ㄍㄨㄞ3" + ], + "罬": [ + "ㄓㄨㄛ2" + ], + "罭": [ + "ㄩ4" + ], + "置": [ + "ㄓ4" + ], + "罯": [ + "ㄢ3" + ], + "罰": [ + "ㄈㄚ2" + ], + "罱": [ + "ㄌㄢ3", + "ㄋㄢ3" + ], + "署": [ + "ㄕㄨ3" + ], + "罳": [ + "ㄙ1" + ], + "罴": [ + "ㄆㄧ2" + ], + "罵": [ + "ㄇㄚ4" + ], + "罶": [ + "ㄌㄧㄡ3" + ], + "罷": [ + "ㄅㄚ4", + "ㄆㄧ2", + "ㄆㄧ4", + "ㄅㄧ3", + "ㄅㄚ5", + "ㄅㄞ3" + ], + "罸": [ + "ㄈㄚ2" + ], + "罹": [ + "ㄌㄧ2" + ], + "罺": [ + "ㄔㄠ2" + ], + "罻": [ + "ㄨㄟ4" + ], + "罼": [ + "ㄅㄧ4" + ], + "罽": [ + "ㄐㄧ4" + ], + "罾": [ + "ㄗㄥ1" + ], + "罿": [ + "ㄔㄨㄥ1" + ], + "羀": [ + "ㄌㄧㄡ3" + ], + "羁": [ + "ㄐㄧ1" + ], + "羂": [ + "ㄐㄩㄢ4" + ], + "羃": [ + "ㄇㄧ4" + ], + "羄": [ + "ㄓㄠ4" + ], + "羅": [ + "ㄌㄨㄛ2", + "ㄌㄨㄛ1", + "ㄌㄨㄛ5" + ], + "羆": [ + "ㄆㄧ2" + ], + "羇": [ + "ㄐㄧ1" + ], + "羈": [ + "ㄐㄧ1" + ], + "羉": [ + "ㄌㄨㄢ2" + ], + "羊": [ + "ㄧㄤ2" + ], + "羋": [ + "ㄇㄧ3", + "ㄇㄧㄝ1" + ], + "羌": [ + "ㄑㄧㄤ1" + ], + "羍": [ + "ㄉㄚ2" + ], + "美": [ + "ㄇㄟ3" + ], + "羏": [ + "ㄧㄤ2", + "ㄒㄧㄤ2" + ], + "羐": [ + "ㄧㄡ3" + ], + "羑": [ + "ㄧㄡ3" + ], + "羒": [ + "ㄈㄣ2" + ], + "羓": [ + "ㄅㄚ1" + ], + "羔": [ + "ㄍㄠ1" + ], + "羕": [ + "ㄧㄤ4" + ], + "羖": [ + "ㄍㄨ3" + ], + "羗": [ + "ㄑㄧㄤ1", + "ㄧㄡ3" + ], + "羘": [ + "ㄗㄤ1" + ], + "羙": [ + "ㄍㄠ1", + "ㄇㄟ3" + ], + "羚": [ + "ㄌㄧㄥ2" + ], + "羛": [ + "ㄧ4", + "ㄒㄧ1" + ], + "羜": [ + "ㄓㄨ4" + ], + "羝": [ + "ㄉㄧ1" + ], + "羞": [ + "ㄒㄧㄡ1" + ], + "羟": [ + "ㄑㄧㄤ3" + ], + "羠": [ + "ㄧ2" + ], + "羡": [ + "ㄒㄧㄢ4", + "ㄧㄢ2", + "ㄧ2" + ], + "羢": [ + "ㄖㄨㄥ2" + ], + "羣": [ + "ㄑㄩㄣ2" + ], + "群": [ + "ㄑㄩㄣ2" + ], + "羥": [ + "ㄑㄧㄤ3", + "ㄑㄧㄢ1" + ], + "羦": [ + "ㄏㄨㄢ2" + ], + "羧": [ + "ㄙㄨㄛ1", + "ㄗㄨㄟ1" + ], + "羨": [ + "ㄒㄧㄢ4" + ], + "義": [ + "ㄧ4", + "ㄧ2", + "ㄒㄧ1" + ], + "羪": [ + "ㄧㄤ5" + ], + "羫": [ + "ㄑㄧㄤ1", + "ㄎㄤ4" + ], + "羬": [ + "ㄑㄧㄢ2", + "ㄒㄧㄢ2", + "ㄧㄢ2" + ], + "羭": [ + "ㄩ2" + ], + "羮": [ + "ㄍㄥ1" + ], + "羯": [ + "ㄐㄧㄝ2" + ], + "羰": [ + "ㄊㄤ1" + ], + "羱": [ + "ㄩㄢ2" + ], + "羲": [ + "ㄒㄧ1" + ], + "羳": [ + "ㄈㄢ2" + ], + "羴": [ + "ㄕㄢ1" + ], + "羵": [ + "ㄈㄣ2" + ], + "羶": [ + "ㄕㄢ1" + ], + "羷": [ + "ㄌㄧㄢ3" + ], + "羸": [ + "ㄌㄟ2", + "ㄌㄧㄢ2" + ], + "羹": [ + "ㄍㄥ1", + "ㄌㄤ2" + ], + "羺": [ + "ㄋㄡ2" + ], + "羻": [ + "ㄑㄧㄤ4" + ], + "羼": [ + "ㄔㄢ4" + ], + "羽": [ + "ㄩ3", + "ㄏㄨ4" + ], + "羾": [ + "ㄍㄨㄥ4" + ], + "羿": [ + "ㄧ4" + ], + "翀": [ + "ㄔㄨㄥ1" + ], + "翁": [ + "ㄨㄥ1", + "ㄨㄥ3" + ], + "翂": [ + "ㄈㄣ1" + ], + "翃": [ + "ㄏㄨㄥ2" + ], + "翄": [ + "ㄔ4" + ], + "翅": [ + "ㄔ4" + ], + "翆": [ + "ㄘㄨㄟ4" + ], + "翇": [ + "ㄈㄨ2" + ], + "翈": [ + "ㄒㄧㄚ2" + ], + "翉": [ + "ㄅㄣ3" + ], + "翊": [ + "ㄧ4" + ], + "翋": [ + "ㄌㄚ1" + ], + "翌": [ + "ㄧ4" + ], + "翍": [ + "ㄆㄧ1", + "ㄅㄧ4", + "ㄆㄛ1" + ], + "翎": [ + "ㄌㄧㄥ2" + ], + "翏": [ + "ㄌㄧㄡ4", + "ㄌㄨ4" + ], + "翐": [ + "ㄓ4" + ], + "翑": [ + "ㄑㄩ2" + ], + "習": [ + "ㄒㄧ2" + ], + "翓": [ + "ㄒㄧㄝ2" + ], + "翔": [ + "ㄒㄧㄤ2" + ], + "翕": [ + "ㄒㄧ1" + ], + "翖": [ + "ㄒㄧ1" + ], + "翗": [ + "ㄎㄜ2" + ], + "翘": [ + "ㄑㄧㄠ4", + "ㄑㄧㄠ2" + ], + "翙": [ + "ㄏㄨㄟ4" + ], + "翚": [ + "ㄏㄨㄟ1" + ], + "翛": [ + "ㄒㄧㄠ1", + "ㄕㄨ1" + ], + "翜": [ + "ㄕㄚ4" + ], + "翝": [ + "ㄏㄨㄥ2" + ], + "翞": [ + "ㄐㄧㄤ1" + ], + "翟": [ + "ㄉㄧ2", + "ㄓㄞ2" + ], + "翠": [ + "ㄘㄨㄟ4" + ], + "翡": [ + "ㄈㄟ3" + ], + "翢": [ + "ㄉㄠ4", + "ㄓㄡ1" + ], + "翣": [ + "ㄕㄚ4" + ], + "翤": [ + "ㄔ4" + ], + "翥": [ + "ㄓㄨ4" + ], + "翦": [ + "ㄐㄧㄢ3" + ], + "翧": [ + "ㄒㄩㄢ1" + ], + "翨": [ + "ㄔ4" + ], + "翩": [ + "ㄆㄧㄢ1" + ], + "翪": [ + "ㄗㄨㄥ1" + ], + "翫": [ + "ㄨㄢ2", + "ㄨㄢ4" + ], + "翬": [ + "ㄏㄨㄟ1" + ], + "翭": [ + "ㄏㄡ2" + ], + "翮": [ + "ㄏㄜ2", + "ㄌㄧ4" + ], + "翯": [ + "ㄏㄜ4", + "ㄏㄠ4" + ], + "翰": [ + "ㄏㄢ4" + ], + "翱": [ + "ㄠ2" + ], + "翲": [ + "ㄆㄧㄠ1" + ], + "翳": [ + "ㄧ4" + ], + "翴": [ + "ㄌㄧㄢ2" + ], + "翵": [ + "ㄏㄡ2", + "ㄑㄩ2" + ], + "翶": [ + "ㄠ2" + ], + "翷": [ + "ㄌㄧㄣ2" + ], + "翸": [ + "ㄆㄣ3" + ], + "翹": [ + "ㄑㄧㄠ4", + "ㄑㄧㄠ2" + ], + "翺": [ + "ㄠ2" + ], + "翻": [ + "ㄈㄢ1" + ], + "翼": [ + "ㄧ4" + ], + "翽": [ + "ㄏㄨㄟ4" + ], + "翾": [ + "ㄒㄩㄢ1" + ], + "翿": [ + "ㄉㄠ4" + ], + "耀": [ + "ㄧㄠ4" + ], + "老": [ + "ㄌㄠ3" + ], + "耂": [ + "ㄌㄠ3" + ], + "考": [ + "ㄎㄠ3" + ], + "耄": [ + "ㄇㄠ4" + ], + "者": [ + "ㄓㄜ3" + ], + "耆": [ + "ㄑㄧ2", + "ㄓ3", + "ㄕ4" + ], + "耇": [ + "ㄍㄡ3" + ], + "耈": [ + "ㄍㄡ3" + ], + "耉": [ + "ㄍㄡ3" + ], + "耊": [ + "ㄉㄧㄝ2" + ], + "耋": [ + "ㄉㄧㄝ2" + ], + "而": [ + "ㄦ2", + "ㄋㄥ2" + ], + "耍": [ + "ㄕㄨㄚ3" + ], + "耎": [ + "ㄖㄨㄢ3", + "ㄋㄨㄛ4" + ], + "耏": [ + "ㄋㄞ4", + "ㄦ2" + ], + "耐": [ + "ㄋㄞ4", + "ㄋㄥ2" + ], + "耑": [ + "ㄉㄨㄢ1", + "ㄓㄨㄢ1" + ], + "耒": [ + "ㄌㄟ3" + ], + "耓": [ + "ㄊㄧㄥ1" + ], + "耔": [ + "ㄗ3" + ], + "耕": [ + "ㄍㄥ1" + ], + "耖": [ + "ㄔㄠ4" + ], + "耗": [ + "ㄏㄠ4", + "ㄇㄠ2", + "ㄇㄠ4" + ], + "耘": [ + "ㄩㄣ2" + ], + "耙": [ + "ㄅㄚ4", + "ㄆㄚ2" + ], + "耚": [ + "ㄆㄧ1" + ], + "耛": [ + "ㄧ2", + "ㄔ2" + ], + "耜": [ + "ㄙ4" + ], + "耝": [ + "ㄑㄩ4", + "ㄔㄨ2" + ], + "耞": [ + "ㄐㄧㄚ1" + ], + "耟": [ + "ㄐㄩ4" + ], + "耠": [ + "ㄏㄨㄛ1" + ], + "耡": [ + "ㄔㄨ2" + ], + "耢": [ + "ㄌㄠ4" + ], + "耣": [ + "ㄌㄨㄣ3", + "ㄌㄨㄣ2" + ], + "耤": [ + "ㄐㄧ2", + "ㄐㄧㄝ4" + ], + "耥": [ + "ㄊㄤ1", + "ㄊㄤ3" + ], + "耦": [ + "ㄡ3" + ], + "耧": [ + "ㄌㄡ2" + ], + "耨": [ + "ㄋㄡ4" + ], + "耩": [ + "ㄐㄧㄤ3" + ], + "耪": [ + "ㄆㄤ3" + ], + "耫": [ + "ㄓㄚ2", + "ㄗㄜ2" + ], + "耬": [ + "ㄌㄡ2", + "ㄌㄡ3" + ], + "耭": [ + "ㄐㄧ1" + ], + "耮": [ + "ㄌㄠ4" + ], + "耯": [ + "ㄏㄨㄛ4" + ], + "耰": [ + "ㄧㄡ1" + ], + "耱": [ + "ㄇㄛ4" + ], + "耲": [ + "ㄏㄨㄞ2" + ], + "耳": [ + "ㄦ3", + "ㄖㄥ2" + ], + "耴": [ + "ㄧ4" + ], + "耵": [ + "ㄉㄧㄥ1" + ], + "耶": [ + "ㄧㄝ2", + "ㄧㄝ1", + "ㄒㄧㄝ2" + ], + "耷": [ + "ㄉㄚ1", + "ㄓㄜ2" + ], + "耸": [ + "ㄙㄨㄥ3" + ], + "耹": [ + "ㄑㄧㄣ2" + ], + "耺": [ + "ㄩㄣ2", + "ㄧㄥ2" + ], + "耻": [ + "ㄔ3" + ], + "耼": [ + "ㄉㄢ1" + ], + "耽": [ + "ㄉㄢ1" + ], + "耾": [ + "ㄏㄨㄥ2" + ], + "耿": [ + "ㄍㄥ3" + ], + "聀": [ + "ㄓ2" + ], + "聁": [ + "ㄆㄢ4" + ], + "聂": [ + "ㄋㄧㄝ4" + ], + "聃": [ + "ㄉㄢ1" + ], + "聄": [ + "ㄓㄣ3" + ], + "聅": [ + "ㄔㄜ4" + ], + "聆": [ + "ㄌㄧㄥ2" + ], + "聇": [ + "ㄓㄥ1" + ], + "聈": [ + "ㄧㄡ3" + ], + "聉": [ + "ㄨㄚ4", + "ㄊㄨㄟ3", + "ㄓㄨㄛ2" + ], + "聊": [ + "ㄌㄧㄠ2", + "ㄌㄧㄡ2" + ], + "聋": [ + "ㄌㄨㄥ2" + ], + "职": [ + "ㄓ2" + ], + "聍": [ + "ㄋㄧㄥ2" + ], + "聎": [ + "ㄊㄧㄠ1" + ], + "聏": [ + "ㄦ2", + "ㄋㄩ4" + ], + "聐": [ + "ㄧㄚ4" + ], + "聑": [ + "ㄊㄧㄝ1", + "ㄓㄜ2" + ], + "聒": [ + "ㄍㄨㄚ1", + "ㄍㄨㄛ1" + ], + "聓": [ + "ㄒㄩ4" + ], + "联": [ + "ㄌㄧㄢ2" + ], + "聕": [ + "ㄏㄠ4" + ], + "聖": [ + "ㄕㄥ4" + ], + "聗": [ + "ㄌㄧㄝ4" + ], + "聘": [ + "ㄆㄧㄣ4", + "ㄆㄧㄥ4" + ], + "聙": [ + "ㄐㄧㄥ1" + ], + "聚": [ + "ㄐㄩ4" + ], + "聛": [ + "ㄅㄧ3" + ], + "聜": [ + "ㄉㄧ3" + ], + "聝": [ + "ㄍㄨㄛ2" + ], + "聞": [ + "ㄨㄣ2", + "ㄨㄣ4" + ], + "聟": [ + "ㄒㄩ4" + ], + "聠": [ + "ㄆㄧㄥ1" + ], + "聡": [ + "ㄘㄨㄥ1" + ], + "聢": [ + "ㄉㄧㄥ4" + ], + "聣": [ + "ㄋㄧ2" + ], + "聤": [ + "ㄊㄧㄥ2" + ], + "聥": [ + "ㄐㄩ3" + ], + "聦": [ + "ㄘㄨㄥ1" + ], + "聧": [ + "ㄎㄨㄟ1" + ], + "聨": [ + "ㄌㄧㄢ2" + ], + "聩": [ + "ㄎㄨㄟ4" + ], + "聪": [ + "ㄘㄨㄥ1" + ], + "聫": [ + "ㄌㄧㄢ2" + ], + "聬": [ + "ㄨㄥ3" + ], + "聭": [ + "ㄎㄨㄟ4" + ], + "聮": [ + "ㄌㄧㄢ2" + ], + "聯": [ + "ㄌㄧㄢ2" + ], + "聰": [ + "ㄘㄨㄥ1" + ], + "聱": [ + "ㄠ2", + "ㄧㄡ2" + ], + "聲": [ + "ㄕㄥ1" + ], + "聳": [ + "ㄙㄨㄥ3" + ], + "聴": [ + "ㄊㄧㄥ1" + ], + "聵": [ + "ㄎㄨㄟ4" + ], + "聶": [ + "ㄋㄧㄝ4", + "ㄓㄜ2", + "ㄕㄜ4", + "ㄧㄝ4" + ], + "職": [ + "ㄓ2", + "ㄊㄜ4" + ], + "聸": [ + "ㄉㄢ1" + ], + "聹": [ + "ㄋㄧㄥ2" + ], + "聺": [ + "ㄑㄧㄝ2" + ], + "聻": [ + "ㄋㄧ3", + "ㄐㄧㄢ4" + ], + "聼": [ + "ㄊㄧㄥ1" + ], + "聽": [ + "ㄊㄧㄥ1", + "ㄊㄧㄥ4" + ], + "聾": [ + "ㄌㄨㄥ2" + ], + "聿": [ + "ㄩ4" + ], + "肀": [ + "ㄩ4" + ], + "肁": [ + "ㄓㄠ4" + ], + "肂": [ + "ㄙ4" + ], + "肃": [ + "ㄙㄨ4" + ], + "肄": [ + "ㄧ4", + "ㄙ4" + ], + "肅": [ + "ㄙㄨ4" + ], + "肆": [ + "ㄙ4", + "ㄊㄧ4" + ], + "肇": [ + "ㄓㄠ4" + ], + "肈": [ + "ㄓㄠ4" + ], + "肉": [ + "ㄖㄡ4", + "ㄖㄨ4" + ], + "肊": [ + "ㄧ4" + ], + "肋": [ + "ㄌㄜ1", + "ㄌㄟ4", + "ㄐㄧㄣ1" + ], + "肌": [ + "ㄐㄧ1", + "ㄐㄧ4" + ], + "肍": [ + "ㄑㄧㄡ2" + ], + "肎": [ + "ㄎㄣ3" + ], + "肏": [ + "ㄘㄠ4" + ], + "肐": [ + "ㄍㄜ1", + "ㄑㄧ4" + ], + "肑": [ + "ㄅㄛ2", + "ㄉㄧ2" + ], + "肒": [ + "ㄏㄨㄢ4" + ], + "肓": [ + "ㄏㄨㄤ1" + ], + "肔": [ + "ㄔ3" + ], + "肕": [ + "ㄖㄣ4" + ], + "肖": [ + "ㄒㄧㄠ4", + "ㄒㄧㄠ1" + ], + "肗": [ + "ㄖㄨ3" + ], + "肘": [ + "ㄓㄡ3" + ], + "肙": [ + "ㄩㄢ4" + ], + "肚": [ + "ㄉㄨ4", + "ㄉㄨ3" + ], + "肛": [ + "ㄍㄤ1" + ], + "肜": [ + "ㄖㄨㄥ2", + "ㄔㄣ1" + ], + "肝": [ + "ㄍㄢ1" + ], + "肞": [ + "ㄔㄚ1" + ], + "肟": [ + "ㄨㄛ4" + ], + "肠": [ + "ㄔㄤ2" + ], + "股": [ + "ㄍㄨ3" + ], + "肢": [ + "ㄓ1", + "ㄕ4" + ], + "肣": [ + "ㄏㄢ2", + "ㄏㄢ4", + "ㄑㄧㄣ2" + ], + "肤": [ + "ㄈㄨ1" + ], + "肥": [ + "ㄈㄟ2", + "ㄅㄧ3" + ], + "肦": [ + "ㄈㄣ2" + ], + "肧": [ + "ㄆㄟ1" + ], + "肨": [ + "ㄆㄤ4", + "ㄆㄤ1", + "ㄈㄥ1" + ], + "肩": [ + "ㄐㄧㄢ1", + "ㄒㄧㄢ2" + ], + "肪": [ + "ㄈㄤ2" + ], + "肫": [ + "ㄓㄨㄣ1", + "ㄔㄨㄣ2", + "ㄊㄨㄣ2", + "ㄓㄨㄛ1" + ], + "肬": [ + "ㄧㄡ2" + ], + "肭": [ + "ㄋㄚ4", + "ㄋㄨ4" + ], + "肮": [ + "ㄤ1", + "ㄏㄤ2", + "ㄍㄤ1" + ], + "肯": [ + "ㄎㄣ3" + ], + "肰": [ + "ㄖㄢ2" + ], + "肱": [ + "ㄍㄨㄥ1" + ], + "育": [ + "ㄩ4", + "ㄓㄡ4", + "ㄧㄛ1" + ], + "肳": [ + "ㄨㄣ3" + ], + "肴": [ + "ㄧㄠ2" + ], + "肵": [ + "ㄑㄧ2" + ], + "肶": [ + "ㄆㄧ2", + "ㄅㄧ4" + ], + "肷": [ + "ㄑㄧㄢ3", + "ㄒㄩ4" + ], + "肸": [ + "ㄒㄧ1", + "ㄅㄧ4" + ], + "肹": [ + "ㄒㄧ1" + ], + "肺": [ + "ㄈㄟ4", + "ㄆㄟ4" + ], + "肻": [ + "ㄎㄣ3" + ], + "肼": [ + "ㄐㄧㄥ3" + ], + "肽": [ + "ㄊㄞ4" + ], + "肾": [ + "ㄕㄣ4" + ], + "肿": [ + "ㄓㄨㄥ3" + ], + "胀": [ + "ㄓㄤ4" + ], + "胁": [ + "ㄒㄧㄝ2" + ], + "胂": [ + "ㄕㄣ4", + "ㄕㄣ1", + "ㄔㄣ1" + ], + "胃": [ + "ㄨㄟ4" + ], + "胄": [ + "ㄓㄡ4" + ], + "胅": [ + "ㄉㄧㄝ2" + ], + "胆": [ + "ㄉㄢ3", + "ㄊㄢ2", + "ㄊㄢ3", + "ㄉㄚ2" + ], + "胇": [ + "ㄈㄟ4", + "ㄅㄧ4", + "ㄈㄟ3" + ], + "胈": [ + "ㄅㄚ2" + ], + "胉": [ + "ㄅㄛ2" + ], + "胊": [ + "ㄑㄩ2" + ], + "胋": [ + "ㄊㄧㄢ2" + ], + "背": [ + "ㄅㄟ4", + "ㄅㄟ1" + ], + "胍": [ + "ㄍㄨㄚ1", + "ㄍㄨ1", + "ㄏㄨ4" + ], + "胎": [ + "ㄊㄞ1" + ], + "胏": [ + "ㄗ3", + "ㄈㄟ4" + ], + "胐": [ + "ㄈㄟ3" + ], + "胑": [ + "ㄓ1" + ], + "胒": [ + "ㄋㄧ4" + ], + "胓": [ + "ㄆㄧㄥ2", + "ㄆㄥ1" + ], + "胔": [ + "ㄗ4", + "ㄘ2", + "ㄐㄧ2" + ], + "胕": [ + "ㄈㄨ3", + "ㄈㄨ1", + "ㄈㄨ2", + "ㄓㄡ3" + ], + "胖": [ + "ㄆㄤ4", + "ㄆㄢ2", + "ㄆㄢ4" + ], + "胗": [ + "ㄓㄣ1", + "ㄓㄣ3", + "ㄓㄨㄣ1" + ], + "胘": [ + "ㄒㄧㄢ2" + ], + "胙": [ + "ㄗㄨㄛ4" + ], + "胚": [ + "ㄆㄟ1" + ], + "胛": [ + "ㄐㄧㄚ3" + ], + "胜": [ + "ㄕㄥ4", + "ㄒㄧㄥ1", + "ㄑㄧㄥ4", + "ㄕㄥ1" + ], + "胝": [ + "ㄓ1", + "ㄔ1", + "ㄉㄧ4" + ], + "胞": [ + "ㄅㄠ1", + "ㄆㄠ2", + "ㄆㄠ4" + ], + "胟": [ + "ㄇㄨ3" + ], + "胠": [ + "ㄑㄩ1" + ], + "胡": [ + "ㄏㄨ2" + ], + "胢": [ + "ㄎㄜ1" + ], + "胣": [ + "ㄔ3" + ], + "胤": [ + "ㄧㄣ4" + ], + "胥": [ + "ㄒㄩ1", + "ㄒㄩ3" + ], + "胦": [ + "ㄧㄤ1" + ], + "胧": [ + "ㄌㄨㄥ2" + ], + "胨": [ + "ㄉㄨㄥ4" + ], + "胩": [ + "ㄎㄚ3" + ], + "胪": [ + "ㄌㄨ2" + ], + "胫": [ + "ㄐㄧㄥ4" + ], + "胬": [ + "ㄋㄨ3", + "ㄋㄩ3" + ], + "胭": [ + "ㄧㄢ1" + ], + "胮": [ + "ㄆㄤ1" + ], + "胯": [ + "ㄎㄨㄚ4", + "ㄎㄨㄚ3" + ], + "胰": [ + "ㄧ2" + ], + "胱": [ + "ㄍㄨㄤ1" + ], + "胲": [ + "ㄏㄞ3", + "ㄍㄞ1", + "ㄍㄞ3" + ], + "胳": [ + "ㄍㄜ1", + "ㄍㄜ2", + "ㄍㄚ1" + ], + "胴": [ + "ㄉㄨㄥ4" + ], + "胵": [ + "ㄔ1", + "ㄓ4" + ], + "胶": [ + "ㄐㄧㄠ1", + "ㄒㄧㄠ2" + ], + "胷": [ + "ㄒㄩㄥ1" + ], + "胸": [ + "ㄒㄩㄥ1" + ], + "胹": [ + "ㄦ2" + ], + "胺": [ + "ㄢ4", + "ㄜ4" + ], + "胻": [ + "ㄏㄥ2" + ], + "胼": [ + "ㄆㄧㄢ2" + ], + "能": [ + "ㄋㄥ2", + "ㄊㄞ2", + "ㄋㄞ2", + "ㄋㄞ4", + "ㄒㄩㄥ2" + ], + "胾": [ + "ㄗ4" + ], + "胿": [ + "ㄍㄨㄟ1", + "ㄎㄨㄟ4" + ], + "脀": [ + "ㄔㄥ2", + "ㄓㄥ1", + "ㄓㄥ4" + ], + "脁": [ + "ㄊㄧㄠ3" + ], + "脂": [ + "ㄓ1", + "ㄓ3" + ], + "脃": [ + "ㄘㄨㄟ4" + ], + "脄": [ + "ㄇㄟ2" + ], + "脅": [ + "ㄒㄧㄝ2", + "ㄒㄧㄢ4", + "ㄒㄧ1" + ], + "脆": [ + "ㄘㄨㄟ4" + ], + "脇": [ + "ㄒㄧㄝ2" + ], + "脈": [ + "ㄇㄞ4", + "ㄇㄛ4" + ], + "脉": [ + "ㄇㄞ4", + "ㄇㄛ4" + ], + "脊": [ + "ㄐㄧ2", + "ㄐㄧ3" + ], + "脋": [ + "ㄒㄧㄝ2" + ], + "脌": [ + "ㄋㄧㄣ5" + ], + "脍": [ + "ㄎㄨㄞ4" + ], + "脎": [ + "ㄙㄚ4" + ], + "脏": [ + "ㄗㄤ4", + "ㄗㄤ1" + ], + "脐": [ + "ㄑㄧ2" + ], + "脑": [ + "ㄋㄠ3" + ], + "脒": [ + "ㄇㄧ3" + ], + "脓": [ + "ㄋㄨㄥ2" + ], + "脔": [ + "ㄌㄨㄢ2", + "ㄐㄧ1" + ], + "脕": [ + "ㄨㄢ4", + "ㄨㄣ4" + ], + "脖": [ + "ㄅㄛ2", + "ㄅㄛ1" + ], + "脗": [ + "ㄨㄣ3" + ], + "脘": [ + "ㄨㄢ3", + "ㄏㄨㄢ4" + ], + "脙": [ + "ㄒㄧㄡ1" + ], + "脚": [ + "ㄐㄧㄠ3", + "ㄐㄩㄝ2" + ], + "脛": [ + "ㄐㄧㄥ4", + "ㄎㄥ1" + ], + "脜": [ + "ㄧㄡ3" + ], + "脝": [ + "ㄏㄥ1" + ], + "脞": [ + "ㄘㄨㄛ3", + "ㄑㄧㄝ1" + ], + "脟": [ + "ㄌㄧㄝ4", + "ㄌㄨㄢ2", + "ㄆㄠ1" + ], + "脠": [ + "ㄕㄢ1", + "ㄔㄢ1" + ], + "脡": [ + "ㄊㄧㄥ3" + ], + "脢": [ + "ㄇㄟ2" + ], + "脣": [ + "ㄔㄨㄣ2" + ], + "脤": [ + "ㄕㄣ4" + ], + "脥": [ + "ㄑㄧㄢ3", + "ㄑㄩ1", + "ㄐㄧㄝ2" + ], + "脦": [ + "ㄉㄜ5", + "ㄊㄜ4", + "ㄊㄜ5" + ], + "脧": [ + "ㄐㄩㄢ1", + "ㄗㄨㄟ1" + ], + "脨": [ + "ㄘㄨ4", + "ㄐㄧ2" + ], + "脩": [ + "ㄒㄧㄡ1", + "ㄧㄡ3", + "ㄊㄧㄠ2", + "ㄒㄧㄠ1" + ], + "脪": [ + "ㄒㄧㄣ4", + "ㄔ1" + ], + "脫": [ + "ㄊㄨㄛ1" + ], + "脬": [ + "ㄆㄠ1" + ], + "脭": [ + "ㄔㄥ2" + ], + "脮": [ + "ㄋㄟ3", + "ㄊㄨㄟ3" + ], + "脯": [ + "ㄆㄨ2", + "ㄈㄨ3" + ], + "脰": [ + "ㄉㄡ4" + ], + "脱": [ + "ㄊㄨㄛ1", + "ㄊㄨㄟ4" + ], + "脲": [ + "ㄋㄧㄠ4" + ], + "脳": [ + "ㄋㄠ3" + ], + "脴": [ + "ㄆㄧ3" + ], + "脵": [ + "ㄍㄨ3" + ], + "脶": [ + "ㄌㄨㄛ2" + ], + "脷": [ + "ㄌㄧ4" + ], + "脸": [ + "ㄌㄧㄢ3" + ], + "脹": [ + "ㄓㄤ4", + "ㄔㄤ2" + ], + "脺": [ + "ㄘㄨㄟ4", + "ㄙㄨㄟ4" + ], + "脻": [ + "ㄐㄧㄝ1" + ], + "脼": [ + "ㄌㄧㄤ3", + "ㄌㄤ3" + ], + "脽": [ + "ㄕㄨㄟ2" + ], + "脾": [ + "ㄆㄧ2", + "ㄆㄞ2", + "ㄅㄧ4", + "ㄆㄧ4" + ], + "脿": [ + "ㄅㄧㄠ1", + "ㄅㄧㄠ3", + "ㄅㄧㄠ4" + ], + "腀": [ + "ㄌㄨㄣ2" + ], + "腁": [ + "ㄆㄧㄢ2" + ], + "腂": [ + "ㄌㄟ3", + "ㄍㄨㄛ4", + "ㄏㄨㄚ4" + ], + "腃": [ + "ㄎㄨㄟ4", + "ㄑㄩㄢ1", + "ㄑㄩㄢ2", + "ㄐㄩㄢ4" + ], + "腄": [ + "ㄔㄨㄟ2", + "ㄏㄡ2", + "ㄔㄨㄞ2" + ], + "腅": [ + "ㄉㄢ4" + ], + "腆": [ + "ㄊㄧㄢ3" + ], + "腇": [ + "ㄋㄟ3" + ], + "腈": [ + "ㄐㄧㄥ1" + ], + "腉": [ + "ㄋㄞ2" + ], + "腊": [ + "ㄌㄚ4", + "ㄒㄧ1" + ], + "腋": [ + "ㄧㄝ4" + ], + "腌": [ + "ㄧㄢ1", + "ㄚ1", + "ㄤ1" + ], + "腍": [ + "ㄖㄣ4", + "ㄉㄧㄢ4" + ], + "腎": [ + "ㄕㄣ4" + ], + "腏": [ + "ㄔㄨㄛ4", + "ㄓㄨㄟ4" + ], + "腐": [ + "ㄈㄨ3" + ], + "腑": [ + "ㄈㄨ3" + ], + "腒": [ + "ㄐㄩ1" + ], + "腓": [ + "ㄈㄟ2" + ], + "腔": [ + "ㄑㄧㄤ1", + "ㄎㄨㄥ4" + ], + "腕": [ + "ㄨㄢ4" + ], + "腖": [ + "ㄉㄨㄥ4" + ], + "腗": [ + "ㄆㄧ2" + ], + "腘": [ + "ㄍㄨㄛ2" + ], + "腙": [ + "ㄗㄨㄥ1" + ], + "腚": [ + "ㄉㄧㄥ4" + ], + "腛": [ + "ㄨㄛ4" + ], + "腜": [ + "ㄇㄟ2" + ], + "腝": [ + "ㄋㄧ2", + "ㄖㄨㄢ3", + "ㄋㄠ4", + "ㄋㄣ4", + "ㄦ2" + ], + "腞": [ + "ㄓㄨㄢ4", + "ㄉㄨㄣ4", + "ㄊㄨ2" + ], + "腟": [ + "ㄔ4" + ], + "腠": [ + "ㄘㄡ4" + ], + "腡": [ + "ㄌㄨㄛ2" + ], + "腢": [ + "ㄡ3" + ], + "腣": [ + "ㄉㄧ4" + ], + "腤": [ + "ㄢ1" + ], + "腥": [ + "ㄒㄧㄥ1" + ], + "腦": [ + "ㄋㄠ3", + "ㄋㄠ4" + ], + "腧": [ + "ㄕㄨ4", + "ㄩ2" + ], + "腨": [ + "ㄕㄨㄢ4" + ], + "腩": [ + "ㄋㄢ3" + ], + "腪": [ + "ㄩㄣ4" + ], + "腫": [ + "ㄓㄨㄥ3" + ], + "腬": [ + "ㄖㄡ2" + ], + "腭": [ + "ㄜ4" + ], + "腮": [ + "ㄙㄞ1" + ], + "腯": [ + "ㄊㄨ2", + "ㄉㄨㄣ4" + ], + "腰": [ + "ㄧㄠ1" + ], + "腱": [ + "ㄐㄧㄢ4", + "ㄑㄧㄢ2" + ], + "腲": [ + "ㄨㄟ3" + ], + "腳": [ + "ㄐㄧㄠ3", + "ㄐㄩㄝ2" + ], + "腴": [ + "ㄩ2" + ], + "腵": [ + "ㄐㄧㄚ1" + ], + "腶": [ + "ㄉㄨㄢ4" + ], + "腷": [ + "ㄅㄧ4" + ], + "腸": [ + "ㄔㄤ2" + ], + "腹": [ + "ㄈㄨ4" + ], + "腺": [ + "ㄒㄧㄢ4" + ], + "腻": [ + "ㄋㄧ4" + ], + "腼": [ + "ㄇㄧㄢ3" + ], + "腽": [ + "ㄨㄚ4" + ], + "腾": [ + "ㄊㄥ2" + ], + "腿": [ + "ㄊㄨㄟ3" + ], + "膀": [ + "ㄅㄤ3", + "ㄆㄤ1", + "ㄆㄤ2", + "ㄅㄤ4", + "ㄆㄤ3" + ], + "膁": [ + "ㄑㄧㄢ3", + "ㄒㄧㄢ4", + "ㄧㄢ2" + ], + "膂": [ + "ㄌㄩ3" + ], + "膃": [ + "ㄨㄚ4" + ], + "膄": [ + "ㄕㄡ4" + ], + "膅": [ + "ㄊㄤ2" + ], + "膆": [ + "ㄙㄨ4" + ], + "膇": [ + "ㄓㄨㄟ4" + ], + "膈": [ + "ㄍㄜ2" + ], + "膉": [ + "ㄧ4" + ], + "膊": [ + "ㄅㄛ2", + "ㄆㄛ4", + "ㄌㄧㄝ4" + ], + "膋": [ + "ㄌㄧㄠ2" + ], + "膌": [ + "ㄐㄧ2" + ], + "膍": [ + "ㄆㄧ2" + ], + "膎": [ + "ㄒㄧㄝ2" + ], + "膏": [ + "ㄍㄠ1", + "ㄍㄠ4" + ], + "膐": [ + "ㄌㄩ3" + ], + "膑": [ + "ㄅㄧㄣ4" + ], + "膒": [ + "ㄡ1" + ], + "膓": [ + "ㄔㄤ2" + ], + "膔": [ + "ㄌㄨ4", + "ㄅㄧㄠ1" + ], + "膕": [ + "ㄍㄨㄛ2", + "ㄏㄨㄛ4" + ], + "膖": [ + "ㄆㄤ1" + ], + "膗": [ + "ㄔㄨㄞ2" + ], + "膘": [ + "ㄅㄧㄠ1", + "ㄆㄧㄠ3" + ], + "膙": [ + "ㄐㄧㄤ3" + ], + "膚": [ + "ㄈㄨ1", + "ㄌㄨ2" + ], + "膛": [ + "ㄊㄤ2", + "ㄊㄤ1" + ], + "膜": [ + "ㄇㄛ2" + ], + "膝": [ + "ㄒㄧ1" + ], + "膞": [ + "ㄓㄨㄢ1", + "ㄓㄨㄢ3", + "ㄔㄨㄢ3", + "ㄔㄨㄣ2" + ], + "膟": [ + "ㄌㄩ4" + ], + "膠": [ + "ㄐㄧㄠ1", + "ㄐㄧㄠ3", + "ㄏㄠ2", + "ㄋㄠ3" + ], + "膡": [ + "ㄧㄥ4" + ], + "膢": [ + "ㄌㄩ2" + ], + "膣": [ + "ㄓ4" + ], + "膤": [ + "ㄒㄩㄝ3" + ], + "膥": [ + "ㄘㄨㄣ1" + ], + "膦": [ + "ㄌㄧㄣ4", + "ㄌㄧㄢ3" + ], + "膧": [ + "ㄊㄨㄥ2" + ], + "膨": [ + "ㄆㄥ2", + "ㄆㄥ4" + ], + "膩": [ + "ㄋㄧ4" + ], + "膪": [ + "ㄔㄨㄞ4", + "ㄓㄚ4", + "ㄓㄞ4" + ], + "膫": [ + "ㄌㄧㄠ2", + "ㄌㄧㄠ3" + ], + "膬": [ + "ㄘㄨㄟ4" + ], + "膭": [ + "ㄍㄨㄟ1", + "ㄎㄨㄟ4", + "ㄉㄨㄟ4" + ], + "膮": [ + "ㄒㄧㄠ1" + ], + "膯": [ + "ㄊㄥ1", + "ㄊㄨㄣ2" + ], + "膰": [ + "ㄈㄢ2", + "ㄆㄢ2" + ], + "膱": [ + "ㄓ2" + ], + "膲": [ + "ㄐㄧㄠ1" + ], + "膳": [ + "ㄕㄢ4" + ], + "膴": [ + "ㄏㄨ1", + "ㄨ3", + "ㄇㄟ2" + ], + "膵": [ + "ㄘㄨㄟ4" + ], + "膶": [ + "ㄖㄨㄣ4" + ], + "膷": [ + "ㄒㄧㄤ1" + ], + "膸": [ + "ㄙㄨㄟ3", + "ㄨㄟ3" + ], + "膹": [ + "ㄈㄣ4" + ], + "膺": [ + "ㄧㄥ1" + ], + "膻": [ + "ㄕㄢ1", + "ㄉㄢ4" + ], + "膼": [ + "ㄓㄨㄚ1" + ], + "膽": [ + "ㄉㄢ3" + ], + "膾": [ + "ㄎㄨㄞ4" + ], + "膿": [ + "ㄋㄨㄥ2" + ], + "臀": [ + "ㄊㄨㄣ2" + ], + "臁": [ + "ㄌㄧㄢ2" + ], + "臂": [ + "ㄅㄧ4", + "ㄅㄟ5" + ], + "臃": [ + "ㄩㄥ1" + ], + "臄": [ + "ㄐㄩㄝ2", + "ㄐㄩ1" + ], + "臅": [ + "ㄔㄨ4" + ], + "臆": [ + "ㄧ4", + "ㄧ3" + ], + "臇": [ + "ㄐㄩㄢ3" + ], + "臈": [ + "ㄌㄚ4", + "ㄍㄜ2" + ], + "臉": [ + "ㄌㄧㄢ3" + ], + "臊": [ + "ㄙㄠ1", + "ㄙㄠ4" + ], + "臋": [ + "ㄊㄨㄣ2" + ], + "臌": [ + "ㄍㄨ3" + ], + "臍": [ + "ㄑㄧ2" + ], + "臎": [ + "ㄘㄨㄟ4" + ], + "臏": [ + "ㄅㄧㄣ4" + ], + "臐": [ + "ㄒㄩㄣ1" + ], + "臑": [ + "ㄋㄠ4", + "ㄖㄨ2", + "ㄦ2", + "ㄋㄣ4", + "ㄋㄨㄢ3" + ], + "臒": [ + "ㄨㄛ4", + "ㄩㄝ4" + ], + "臓": [ + "ㄗㄤ4" + ], + "臔": [ + "ㄒㄧㄢ4" + ], + "臕": [ + "ㄅㄧㄠ1" + ], + "臖": [ + "ㄒㄧㄥ4" + ], + "臗": [ + "ㄎㄨㄢ1" + ], + "臘": [ + "ㄌㄚ4", + "ㄌㄧㄝ4" + ], + "臙": [ + "ㄧㄢ1" + ], + "臚": [ + "ㄌㄨ2", + "ㄌㄩ3" + ], + "臛": [ + "ㄏㄨㄛ4" + ], + "臜": [ + "ㄗㄚ1" + ], + "臝": [ + "ㄌㄨㄛ3" + ], + "臞": [ + "ㄑㄩ2" + ], + "臟": [ + "ㄗㄤ4" + ], + "臠": [ + "ㄌㄨㄢ2" + ], + "臡": [ + "ㄋㄧ2", + "ㄌㄨㄢ2" + ], + "臢": [ + "ㄗㄚ1", + "ㄗㄢ1" + ], + "臣": [ + "ㄔㄣ2" + ], + "臤": [ + "ㄑㄧㄢ1", + "ㄒㄧㄢ2", + "ㄑㄧㄣ4" + ], + "臥": [ + "ㄨㄛ4" + ], + "臦": [ + "ㄍㄨㄤ4", + "ㄐㄩㄥ3" + ], + "臧": [ + "ㄗㄤ1", + "ㄘㄤ2", + "ㄗㄤ4" + ], + "臨": [ + "ㄌㄧㄣ2", + "ㄌㄧㄣ4" + ], + "臩": [ + "ㄍㄨㄤ3", + "ㄐㄩㄥ3" + ], + "自": [ + "ㄗ4" + ], + "臫": [ + "ㄐㄧㄠ3" + ], + "臬": [ + "ㄋㄧㄝ4" + ], + "臭": [ + "ㄔㄡ4", + "ㄒㄧㄡ4" + ], + "臮": [ + "ㄐㄧ4" + ], + "臯": [ + "ㄍㄠ1" + ], + "臰": [ + "ㄔㄡ4" + ], + "臱": [ + "ㄇㄧㄢ2", + "ㄅㄧㄢ1" + ], + "臲": [ + "ㄋㄧㄝ4" + ], + "至": [ + "ㄓ4", + "ㄉㄧㄝ2" + ], + "致": [ + "ㄓ4", + "ㄓㄨㄟ4" + ], + "臵": [ + "ㄍㄜ2" + ], + "臶": [ + "ㄐㄧㄢ4" + ], + "臷": [ + "ㄉㄧㄝ2", + "ㄓ2" + ], + "臸": [ + "ㄓ1", + "ㄐㄧㄣ4" + ], + "臹": [ + "ㄒㄧㄡ1" + ], + "臺": [ + "ㄊㄞ2" + ], + "臻": [ + "ㄓㄣ1" + ], + "臼": [ + "ㄐㄧㄡ4" + ], + "臽": [ + "ㄒㄧㄢ4" + ], + "臾": [ + "ㄩ2", + "ㄩ3", + "ㄩㄥ3", + "ㄎㄨㄟ4" + ], + "臿": [ + "ㄔㄚ1" + ], + "舀": [ + "ㄧㄠ3" + ], + "舁": [ + "ㄩ2" + ], + "舂": [ + "ㄔㄨㄥ1", + "ㄔㄨㄤ1", + "ㄓㄨㄥ1" + ], + "舃": [ + "ㄒㄧ4" + ], + "舄": [ + "ㄒㄧ4", + "ㄑㄩㄝ4", + "ㄊㄨㄛ1" + ], + "舅": [ + "ㄐㄧㄡ4" + ], + "舆": [ + "ㄩ2" + ], + "與": [ + "ㄩ3", + "ㄩ2", + "ㄩ4" + ], + "興": [ + "ㄒㄧㄥ4", + "ㄒㄧㄥ1", + "ㄒㄧㄣ4" + ], + "舉": [ + "ㄐㄩ3" + ], + "舊": [ + "ㄐㄧㄡ4" + ], + "舋": [ + "ㄒㄧㄣ4" + ], + "舌": [ + "ㄕㄜ2", + "ㄍㄨㄚ1" + ], + "舍": [ + "ㄕㄜ3", + "ㄕㄜ4", + "ㄕ4" + ], + "舎": [ + "ㄕㄜ4" + ], + "舏": [ + "ㄐㄧㄡ3" + ], + "舐": [ + "ㄕ4" + ], + "舑": [ + "ㄊㄢ1" + ], + "舒": [ + "ㄕㄨ1", + "ㄩ4" + ], + "舓": [ + "ㄕ4" + ], + "舔": [ + "ㄊㄧㄢ3", + "ㄊㄢ1" + ], + "舕": [ + "ㄊㄢ4" + ], + "舖": [ + "ㄆㄨ4" + ], + "舗": [ + "ㄆㄨ4" + ], + "舘": [ + "ㄍㄨㄢ3" + ], + "舙": [ + "ㄏㄨㄚ4", + "ㄑㄧ4" + ], + "舚": [ + "ㄊㄧㄢ4" + ], + "舛": [ + "ㄔㄨㄢ3" + ], + "舜": [ + "ㄕㄨㄣ4" + ], + "舝": [ + "ㄒㄧㄚ2" + ], + "舞": [ + "ㄨ3" + ], + "舟": [ + "ㄓㄡ1" + ], + "舠": [ + "ㄉㄠ1" + ], + "舡": [ + "ㄔㄨㄢ2", + "ㄒㄧㄤ1" + ], + "舢": [ + "ㄕㄢ1" + ], + "舣": [ + "ㄧ3" + ], + "舤": [ + "ㄈㄢ2" + ], + "舥": [ + "ㄆㄚ1" + ], + "舦": [ + "ㄊㄞ4" + ], + "舧": [ + "ㄈㄢ2" + ], + "舨": [ + "ㄅㄢ3" + ], + "舩": [ + "ㄔㄨㄢ2", + "ㄈㄢ2" + ], + "航": [ + "ㄏㄤ2" + ], + "舫": [ + "ㄈㄤ3" + ], + "般": [ + "ㄅㄢ1", + "ㄆㄢ2", + "ㄅㄢ3", + "ㄅㄛ1" + ], + "舭": [ + "ㄅㄧ3" + ], + "舮": [ + "ㄌㄨ2" + ], + "舯": [ + "ㄓㄨㄥ1" + ], + "舰": [ + "ㄐㄧㄢ4" + ], + "舱": [ + "ㄘㄤ1" + ], + "舲": [ + "ㄌㄧㄥ2" + ], + "舳": [ + "ㄓㄨ2", + "ㄓㄡ3" + ], + "舴": [ + "ㄗㄜ2" + ], + "舵": [ + "ㄉㄨㄛ4" + ], + "舶": [ + "ㄅㄛ2" + ], + "舷": [ + "ㄒㄧㄢ2" + ], + "舸": [ + "ㄍㄜ3" + ], + "船": [ + "ㄔㄨㄢ2" + ], + "舺": [ + "ㄒㄧㄚ2" + ], + "舻": [ + "ㄌㄨ2" + ], + "舼": [ + "ㄑㄩㄥ2", + "ㄏㄨㄥ2" + ], + "舽": [ + "ㄆㄤ2", + "ㄈㄥ2" + ], + "舾": [ + "ㄒㄧ1" + ], + "舿": [ + "ㄎㄨㄚ1" + ], + "艀": [ + "ㄈㄨ2" + ], + "艁": [ + "ㄗㄠ4" + ], + "艂": [ + "ㄈㄥ2" + ], + "艃": [ + "ㄌㄧ2" + ], + "艄": [ + "ㄕㄠ1", + "ㄕㄠ4" + ], + "艅": [ + "ㄩ2" + ], + "艆": [ + "ㄌㄤ2" + ], + "艇": [ + "ㄊㄧㄥ3" + ], + "艈": [ + "ㄩ4" + ], + "艉": [ + "ㄨㄟ3" + ], + "艊": [ + "ㄅㄛ2" + ], + "艋": [ + "ㄇㄥ3" + ], + "艌": [ + "ㄋㄧㄢ4", + "ㄑㄧㄢ4" + ], + "艍": [ + "ㄐㄩ1" + ], + "艎": [ + "ㄏㄨㄤ2" + ], + "艏": [ + "ㄕㄡ3" + ], + "艐": [ + "ㄎㄜ4", + "ㄐㄧㄝ4", + "ㄗㄨㄥ1" + ], + "艑": [ + "ㄅㄧㄢ4" + ], + "艒": [ + "ㄇㄨ4", + "ㄇㄛ4" + ], + "艓": [ + "ㄉㄧㄝ2" + ], + "艔": [ + "ㄉㄠ4" + ], + "艕": [ + "ㄅㄤ4" + ], + "艖": [ + "ㄔㄚ1" + ], + "艗": [ + "ㄧ4" + ], + "艘": [ + "ㄙㄡ1" + ], + "艙": [ + "ㄘㄤ1" + ], + "艚": [ + "ㄘㄠ2" + ], + "艛": [ + "ㄌㄡ2" + ], + "艜": [ + "ㄉㄞ4" + ], + "艝": [ + "ㄒㄩㄝ3" + ], + "艞": [ + "ㄧㄠ4", + "ㄊㄧㄠ4" + ], + "艟": [ + "ㄔㄨㄥ1", + "ㄓㄨㄤ4", + "ㄊㄨㄥ2" + ], + "艠": [ + "ㄉㄥ1" + ], + "艡": [ + "ㄉㄤ1" + ], + "艢": [ + "ㄑㄧㄤ2" + ], + "艣": [ + "ㄌㄨ3" + ], + "艤": [ + "ㄧ3" + ], + "艥": [ + "ㄐㄧ2" + ], + "艦": [ + "ㄐㄧㄢ4" + ], + "艧": [ + "ㄏㄨㄛ4", + "ㄨㄛ4" + ], + "艨": [ + "ㄇㄥ2" + ], + "艩": [ + "ㄑㄧ2" + ], + "艪": [ + "ㄌㄨ3" + ], + "艫": [ + "ㄌㄨ2" + ], + "艬": [ + "ㄔㄢ2" + ], + "艭": [ + "ㄕㄨㄤ1" + ], + "艮": [ + "ㄍㄣ3", + "ㄍㄣ4", + "ㄏㄣ2" + ], + "良": [ + "ㄌㄧㄤ2", + "ㄌㄧㄤ3" + ], + "艰": [ + "ㄐㄧㄢ1" + ], + "艱": [ + "ㄐㄧㄢ1" + ], + "色": [ + "ㄙㄜ4", + "ㄕㄞ3" + ], + "艳": [ + "ㄧㄢ4" + ], + "艴": [ + "ㄈㄨ2", + "ㄅㄛ2", + "ㄆㄟ4" + ], + "艵": [ + "ㄆㄧㄥ1" + ], + "艶": [ + "ㄧㄢ4" + ], + "艷": [ + "ㄧㄢ4" + ], + "艸": [ + "ㄘㄠ3" + ], + "艹": [ + "ㄘㄠ3" + ], + "艺": [ + "ㄧ4" + ], + "艻": [ + "ㄌㄜ4", + "ㄐㄧ2" + ], + "艼": [ + "ㄊㄧㄥ1", + "ㄉㄧㄥ3" + ], + "艽": [ + "ㄐㄧㄠ1", + "ㄑㄧㄡ2" + ], + "艾": [ + "ㄞ4", + "ㄧ4" + ], + "艿": [ + "ㄋㄞ3", + "ㄖㄥ2", + "ㄖㄥ4" + ], + "芀": [ + "ㄊㄧㄠ2" + ], + "芁": [ + "ㄐㄧㄠ1" + ], + "节": [ + "ㄐㄧㄝ2", + "ㄐㄧㄝ1" + ], + "芃": [ + "ㄆㄥ2" + ], + "芄": [ + "ㄨㄢ2" + ], + "芅": [ + "ㄧ4" + ], + "芆": [ + "ㄔㄞ1", + "ㄔㄚ1" + ], + "芇": [ + "ㄇㄧㄢ2" + ], + "芈": [ + "ㄇㄧ3" + ], + "芉": [ + "ㄍㄢ1", + "ㄍㄢ3" + ], + "芊": [ + "ㄑㄧㄢ1", + "ㄑㄧㄢ4" + ], + "芋": [ + "ㄩ4", + "ㄩ2", + "ㄒㄩ1", + "ㄩ3" + ], + "芌": [ + "ㄩ4" + ], + "芍": [ + "ㄕㄠ2", + "ㄒㄧㄠ4", + "ㄑㄩㄝ4", + "ㄉㄧ4" + ], + "芎": [ + "ㄑㄩㄥ1", + "ㄒㄩㄥ1" + ], + "芏": [ + "ㄉㄨ4" + ], + "芐": [ + "ㄏㄨ4", + "ㄒㄧㄚ4" + ], + "芑": [ + "ㄑㄧ3" + ], + "芒": [ + "ㄇㄤ2", + "ㄏㄨㄤ1", + "ㄏㄨㄤ3", + "ㄨㄤ2" + ], + "芓": [ + "ㄗ4", + "ㄗ3", + "ㄗ1" + ], + "芔": [ + "ㄏㄨㄟ4", + "ㄏㄨ1" + ], + "芕": [ + "ㄙㄨㄟ1" + ], + "芖": [ + "ㄓ4" + ], + "芗": [ + "ㄒㄧㄤ1" + ], + "芘": [ + "ㄆㄧ2", + "ㄅㄧ3", + "ㄅㄧ4" + ], + "芙": [ + "ㄈㄨ2" + ], + "芚": [ + "ㄊㄨㄣ2", + "ㄔㄨㄣ1" + ], + "芛": [ + "ㄨㄟ3" + ], + "芜": [ + "ㄨ2" + ], + "芝": [ + "ㄓ1" + ], + "芞": [ + "ㄑㄧ4" + ], + "芟": [ + "ㄕㄢ1", + "ㄨㄟ3" + ], + "芠": [ + "ㄨㄣ2" + ], + "芡": [ + "ㄑㄧㄢ4" + ], + "芢": [ + "ㄖㄣ2" + ], + "芣": [ + "ㄈㄨ2", + "ㄈㄡ3", + "ㄈㄨ1" + ], + "芤": [ + "ㄎㄡ1" + ], + "芥": [ + "ㄐㄧㄝ4", + "ㄍㄞ4" + ], + "芦": [ + "ㄌㄨ2", + "ㄌㄨ3", + "ㄏㄨ4" + ], + "芧": [ + "ㄒㄩ4", + "ㄓㄨ4" + ], + "芨": [ + "ㄐㄧ1" + ], + "芩": [ + "ㄑㄧㄣ2", + "ㄧㄣ2" + ], + "芪": [ + "ㄑㄧ2", + "ㄔ2" + ], + "芫": [ + "ㄧㄢ2", + "ㄩㄢ2" + ], + "芬": [ + "ㄈㄣ1" + ], + "芭": [ + "ㄅㄚ1", + "ㄆㄚ1" + ], + "芮": [ + "ㄖㄨㄟ4", + "ㄖㄨㄛ4" + ], + "芯": [ + "ㄒㄧㄣ1", + "ㄒㄧㄣ4" + ], + "芰": [ + "ㄐㄧ4" + ], + "花": [ + "ㄏㄨㄚ1" + ], + "芲": [ + "ㄏㄨㄚ1" + ], + "芳": [ + "ㄈㄤ1" + ], + "芴": [ + "ㄨ4", + "ㄏㄨ1" + ], + "芵": [ + "ㄐㄩㄝ2" + ], + "芶": [ + "ㄍㄡ3" + ], + "芷": [ + "ㄓ3" + ], + "芸": [ + "ㄩㄣ2", + "ㄩㄣ4" + ], + "芹": [ + "ㄑㄧㄣ2" + ], + "芺": [ + "ㄠ3" + ], + "芻": [ + "ㄔㄨ2", + "ㄗㄡ1" + ], + "芼": [ + "ㄇㄠ4" + ], + "芽": [ + "ㄧㄚ2" + ], + "芾": [ + "ㄈㄟ4", + "ㄈㄨ2" + ], + "芿": [ + "ㄖㄥ4" + ], + "苀": [ + "ㄏㄤ2" + ], + "苁": [ + "ㄘㄨㄥ1" + ], + "苂": [ + "ㄧㄣ2" + ], + "苃": [ + "ㄧㄡ3" + ], + "苄": [ + "ㄅㄧㄢ4" + ], + "苅": [ + "ㄧ4" + ], + "苆": [ + "ㄑㄧㄝ1" + ], + "苇": [ + "ㄨㄟ3" + ], + "苈": [ + "ㄌㄧ4" + ], + "苉": [ + "ㄆㄧ3" + ], + "苊": [ + "ㄜ4" + ], + "苋": [ + "ㄒㄧㄢ4" + ], + "苌": [ + "ㄔㄤ2" + ], + "苍": [ + "ㄘㄤ1" + ], + "苎": [ + "ㄓㄨ4" + ], + "苏": [ + "ㄙㄨ1" + ], + "苐": [ + "ㄊㄧ2", + "ㄉㄧ4" + ], + "苑": [ + "ㄩㄢ4", + "ㄩㄢ1", + "ㄩ4", + "ㄩㄣ4" + ], + "苒": [ + "ㄖㄢ3" + ], + "苓": [ + "ㄌㄧㄥ2", + "ㄌㄧㄢ2" + ], + "苔": [ + "ㄊㄞ2", + "ㄊㄞ1" + ], + "苕": [ + "ㄕㄠ2", + "ㄊㄧㄠ2" + ], + "苖": [ + "ㄉㄧ2" + ], + "苗": [ + "ㄇㄧㄠ2" + ], + "苘": [ + "ㄑㄧㄥ3" + ], + "苙": [ + "ㄌㄧ4", + "ㄐㄧ1" + ], + "苚": [ + "ㄩㄥ4" + ], + "苛": [ + "ㄎㄜ1", + "ㄏㄜ1" + ], + "苜": [ + "ㄇㄨ4" + ], + "苝": [ + "ㄅㄟ4" + ], + "苞": [ + "ㄅㄠ1", + "ㄆㄠ2", + "ㄅㄧㄠ1" + ], + "苟": [ + "ㄍㄡ3", + "ㄍㄡ1" + ], + "苠": [ + "ㄇㄧㄣ2" + ], + "苡": [ + "ㄧ3" + ], + "苢": [ + "ㄧ3" + ], + "苣": [ + "ㄐㄩ4", + "ㄑㄩ3" + ], + "苤": [ + "ㄆㄧㄝ3", + "ㄆㄧ1" + ], + "若": [ + "ㄖㄨㄛ4", + "ㄖㄜ2", + "ㄖㄜ4", + "ㄖㄜ3" + ], + "苦": [ + "ㄎㄨ3", + "ㄍㄨ3", + "ㄏㄨ4" + ], + "苧": [ + "ㄋㄧㄥ2", + "ㄓㄨ4" + ], + "苨": [ + "ㄋㄧ3" + ], + "苩": [ + "ㄅㄛ2", + "ㄆㄚ1" + ], + "苪": [ + "ㄅㄧㄥ3" + ], + "苫": [ + "ㄕㄢ1", + "ㄕㄢ4", + "ㄊㄧㄢ1", + "ㄔㄢ1" + ], + "苬": [ + "ㄒㄧㄡ2" + ], + "苭": [ + "ㄧㄠ3" + ], + "苮": [ + "ㄒㄧㄢ1" + ], + "苯": [ + "ㄅㄣ3" + ], + "苰": [ + "ㄏㄨㄥ2" + ], + "英": [ + "ㄧㄥ1", + "ㄧㄤ1" + ], + "苲": [ + "ㄓㄚ3", + "ㄓㄚ4", + "ㄗㄨㄛ2" + ], + "苳": [ + "ㄉㄨㄥ1" + ], + "苴": [ + "ㄐㄩ1", + "ㄔㄚ2", + "ㄓㄚ3", + "ㄗㄨ1", + "ㄐㄧㄝ1", + "ㄅㄠ1", + "ㄒㄧㄝ2" + ], + "苵": [ + "ㄉㄧㄝ2" + ], + "苶": [ + "ㄋㄧㄝ2", + "ㄋㄧㄝ4" + ], + "苷": [ + "ㄍㄢ1" + ], + "苸": [ + "ㄏㄨ1" + ], + "苹": [ + "ㄆㄧㄥ2", + "ㄆㄥ1" + ], + "苺": [ + "ㄇㄟ2" + ], + "苻": [ + "ㄈㄨ2", + "ㄆㄨ2" + ], + "苼": [ + "ㄕㄥ1", + "ㄖㄨㄟ2" + ], + "苽": [ + "ㄍㄨ1", + "ㄍㄨㄚ1" + ], + "苾": [ + "ㄅㄧ4", + "ㄅㄧㄝ2", + "ㄇㄧ4" + ], + "苿": [ + "ㄨㄟ4" + ], + "茀": [ + "ㄈㄨ2", + "ㄅㄛ2", + "ㄈㄟ4", + "ㄅㄟ4", + "ㄅㄧ4" + ], + "茁": [ + "ㄓㄨㄛ2", + "ㄓㄨ2" + ], + "茂": [ + "ㄇㄠ4" + ], + "范": [ + "ㄈㄢ4" + ], + "茄": [ + "ㄐㄧㄚ1", + "ㄑㄧㄝ2" + ], + "茅": [ + "ㄇㄠ2" + ], + "茆": [ + "ㄇㄠ2", + "ㄇㄠ3" + ], + "茇": [ + "ㄅㄚ2", + "ㄆㄟ4", + "ㄈㄟ4" + ], + "茈": [ + "ㄘ2", + "ㄗ3", + "ㄘ3", + "ㄔㄞ2" + ], + "茉": [ + "ㄇㄛ4" + ], + "茊": [ + "ㄗ1" + ], + "茋": [ + "ㄓ3", + "ㄉㄧ3" + ], + "茌": [ + "ㄔ2" + ], + "茍": [ + "ㄐㄧ4" + ], + "茎": [ + "ㄐㄧㄥ1" + ], + "茏": [ + "ㄌㄨㄥ2" + ], + "茐": [ + "ㄘㄨㄥ1" + ], + "茑": [ + "ㄋㄧㄠ3" + ], + "茒": [ + "ㄩㄢ2" + ], + "茓": [ + "ㄒㄩㄝ2" + ], + "茔": [ + "ㄧㄥ2" + ], + "茕": [ + "ㄑㄩㄥ2" + ], + "茖": [ + "ㄍㄜ2", + "ㄌㄨㄛ4" + ], + "茗": [ + "ㄇㄧㄥ2" + ], + "茘": [ + "ㄌㄧ4" + ], + "茙": [ + "ㄖㄨㄥ2" + ], + "茚": [ + "ㄧㄣ4" + ], + "茛": [ + "ㄍㄣ4", + "ㄐㄧㄢ4" + ], + "茜": [ + "ㄑㄧㄢ4", + "ㄒㄧ1" + ], + "茝": [ + "ㄔㄞ3", + "ㄓ3" + ], + "茞": [ + "ㄔㄣ2" + ], + "茟": [ + "ㄩ4", + "ㄨㄟ3" + ], + "茠": [ + "ㄏㄠ1", + "ㄒㄧㄡ1", + "ㄎㄡ4" + ], + "茡": [ + "ㄗ4" + ], + "茢": [ + "ㄌㄧㄝ4" + ], + "茣": [ + "ㄨ2" + ], + "茤": [ + "ㄐㄧ4", + "ㄉㄨㄛ1" + ], + "茥": [ + "ㄍㄨㄟ1", + "ㄍㄨㄟ4" + ], + "茦": [ + "ㄘ4" + ], + "茧": [ + "ㄐㄧㄢ3", + "ㄔㄨㄥ2" + ], + "茨": [ + "ㄘ2" + ], + "茩": [ + "ㄍㄡ4" + ], + "茪": [ + "ㄍㄨㄤ1" + ], + "茫": [ + "ㄇㄤ2", + "ㄏㄨㄤ3" + ], + "茬": [ + "ㄔㄚ2", + "ㄔ2" + ], + "茭": [ + "ㄐㄧㄠ1", + "ㄒㄧㄠ4", + "ㄑㄧㄠ4" + ], + "茮": [ + "ㄐㄧㄠ1", + "ㄋㄧㄠ3" + ], + "茯": [ + "ㄈㄨ2" + ], + "茰": [ + "ㄩ2" + ], + "茱": [ + "ㄓㄨ1" + ], + "茲": [ + "ㄗ1", + "ㄘ2" + ], + "茳": [ + "ㄐㄧㄤ1" + ], + "茴": [ + "ㄏㄨㄟ2" + ], + "茵": [ + "ㄧㄣ1" + ], + "茶": [ + "ㄔㄚ2" + ], + "茷": [ + "ㄈㄚ2", + "ㄆㄟ4", + "ㄅㄛ2", + "ㄅㄚ2" + ], + "茸": [ + "ㄖㄨㄥ1", + "ㄖㄨㄥ2", + "ㄖㄨㄥ3" + ], + "茹": [ + "ㄖㄨ2" + ], + "茺": [ + "ㄔㄨㄥ1" + ], + "茻": [ + "ㄇㄤ3", + "ㄇㄨ3" + ], + "茼": [ + "ㄊㄨㄥ2" + ], + "茽": [ + "ㄓㄨㄥ4" + ], + "茾": [ + "ㄑㄧㄢ1" + ], + "茿": [ + "ㄓㄨ2" + ], + "荀": [ + "ㄒㄩㄣ2" + ], + "荁": [ + "ㄏㄨㄢ2" + ], + "荂": [ + "ㄈㄨ1" + ], + "荃": [ + "ㄑㄩㄢ2", + "ㄔㄨㄛ4" + ], + "荄": [ + "ㄍㄞ1" + ], + "荅": [ + "ㄉㄚ1", + "ㄉㄚ2", + "ㄊㄚ4" + ], + "荆": [ + "ㄐㄧㄥ1" + ], + "荇": [ + "ㄒㄧㄥ4" + ], + "荈": [ + "ㄔㄨㄢ3" + ], + "草": [ + "ㄘㄠ3", + "ㄗㄠ4" + ], + "荊": [ + "ㄐㄧㄥ1" + ], + "荋": [ + "ㄦ2" + ], + "荌": [ + "ㄢ4" + ], + "荍": [ + "ㄑㄧㄠ2" + ], + "荎": [ + "ㄔ2" + ], + "荏": [ + "ㄖㄣ3" + ], + "荐": [ + "ㄐㄧㄢ4" + ], + "荑": [ + "ㄊㄧ2", + "ㄧ2" + ], + "荒": [ + "ㄏㄨㄤ1", + "ㄏㄨㄤ3", + "ㄎㄤ1", + "ㄏㄨㄤ2" + ], + "荓": [ + "ㄆㄧㄥ2", + "ㄆㄥ1" + ], + "荔": [ + "ㄌㄧ4" + ], + "荕": [ + "ㄐㄧㄣ1" + ], + "荖": [ + "ㄌㄠ3", + "ㄔㄚ1" + ], + "荗": [ + "ㄕㄨ4" + ], + "荘": [ + "ㄓㄨㄤ1" + ], + "荙": [ + "ㄉㄚ2" + ], + "荚": [ + "ㄐㄧㄚ2" + ], + "荛": [ + "ㄖㄠ2" + ], + "荜": [ + "ㄅㄧ4" + ], + "荝": [ + "ㄘㄜ4" + ], + "荞": [ + "ㄑㄧㄠ2" + ], + "荟": [ + "ㄏㄨㄟ4" + ], + "荠": [ + "ㄐㄧ4", + "ㄑㄧ2" + ], + "荡": [ + "ㄉㄤ4" + ], + "荢": [ + "ㄗ4" + ], + "荣": [ + "ㄖㄨㄥ2" + ], + "荤": [ + "ㄏㄨㄣ1", + "ㄒㄩㄣ1" + ], + "荥": [ + "ㄒㄧㄥ2", + "ㄧㄥ2" + ], + "荦": [ + "ㄌㄨㄛ4" + ], + "荧": [ + "ㄧㄥ2" + ], + "荨": [ + "ㄒㄩㄣ2", + "ㄑㄧㄢ2" + ], + "荩": [ + "ㄐㄧㄣ4" + ], + "荪": [ + "ㄙㄨㄣ1" + ], + "荫": [ + "ㄧㄣ1", + "ㄧㄣ4" + ], + "荬": [ + "ㄇㄞ3" + ], + "荭": [ + "ㄏㄨㄥ2" + ], + "荮": [ + "ㄓㄡ4" + ], + "药": [ + "ㄧㄠ4" + ], + "荰": [ + "ㄉㄨ4" + ], + "荱": [ + "ㄨㄟ3", + "ㄨㄟ4" + ], + "荲": [ + "ㄌㄧ2" + ], + "荳": [ + "ㄉㄡ4" + ], + "荴": [ + "ㄈㄨ1" + ], + "荵": [ + "ㄖㄣ3" + ], + "荶": [ + "ㄧㄣ2" + ], + "荷": [ + "ㄏㄜ2", + "ㄏㄜ4", + "ㄏㄜ1" + ], + "荸": [ + "ㄅㄧ2" + ], + "荹": [ + "ㄅㄨ4", + "ㄆㄨ2" + ], + "荺": [ + "ㄩㄣ3", + "ㄩㄣ2" + ], + "荻": [ + "ㄉㄧ2" + ], + "荼": [ + "ㄊㄨ2", + "ㄔㄚ2", + "ㄧㄝ2", + "ㄕㄨ1" + ], + "荽": [ + "ㄙㄨㄟ1", + "ㄨㄟ3" + ], + "荾": [ + "ㄙㄨㄟ1" + ], + "荿": [ + "ㄔㄥ2" + ], + "莀": [ + "ㄔㄣ2", + "ㄋㄨㄥ2" + ], + "莁": [ + "ㄨ2" + ], + "莂": [ + "ㄅㄧㄝ2" + ], + "莃": [ + "ㄒㄧ1" + ], + "莄": [ + "ㄍㄥ3" + ], + "莅": [ + "ㄌㄧ4" + ], + "莆": [ + "ㄆㄨ2", + "ㄈㄨ3" + ], + "莇": [ + "ㄓㄨ4" + ], + "莈": [ + "ㄇㄛ4" + ], + "莉": [ + "ㄌㄧ4", + "ㄌㄧ2", + "ㄔ2" + ], + "莊": [ + "ㄓㄨㄤ1" + ], + "莋": [ + "ㄗㄨㄛ2", + "ㄐㄧ2" + ], + "莌": [ + "ㄊㄨㄛ1" + ], + "莍": [ + "ㄑㄧㄡ2" + ], + "莎": [ + "ㄕㄚ1", + "ㄙㄨㄛ1", + "ㄙㄨㄟ1" + ], + "莏": [ + "ㄙㄨㄛ1" + ], + "莐": [ + "ㄔㄣ2" + ], + "莑": [ + "ㄆㄥ2", + "ㄈㄥ1" + ], + "莒": [ + "ㄐㄩ3" + ], + "莓": [ + "ㄇㄟ2" + ], + "莔": [ + "ㄇㄥ2", + "ㄒㄧ2", + "ㄑㄧㄥ3" + ], + "莕": [ + "ㄒㄧㄥ4" + ], + "莖": [ + "ㄐㄧㄥ1", + "ㄧㄥ1" + ], + "莗": [ + "ㄔㄜ1" + ], + "莘": [ + "ㄕㄣ1", + "ㄒㄧㄣ1" + ], + "莙": [ + "ㄐㄩㄣ1" + ], + "莚": [ + "ㄧㄢ2" + ], + "莛": [ + "ㄊㄧㄥ2", + "ㄊㄧㄥ3" + ], + "莜": [ + "ㄧㄡ2", + "ㄉㄧㄠ4", + "ㄉㄧ2" + ], + "莝": [ + "ㄘㄨㄛ4" + ], + "莞": [ + "ㄍㄨㄢ3", + "ㄨㄢ3", + "ㄍㄨㄢ1" + ], + "莟": [ + "ㄏㄢ4" + ], + "莠": [ + "ㄧㄡ3", + "ㄒㄧㄡ4" + ], + "莡": [ + "ㄘㄨㄛ4" + ], + "莢": [ + "ㄐㄧㄚ2" + ], + "莣": [ + "ㄨㄤ2" + ], + "莤": [ + "ㄙㄨ4", + "ㄧㄡ2" + ], + "莥": [ + "ㄋㄧㄡ3", + "ㄖㄡ4" + ], + "莦": [ + "ㄕㄠ1", + "ㄒㄧㄠ1" + ], + "莧": [ + "ㄒㄧㄢ4", + "ㄨㄢ4" + ], + "莨": [ + "ㄌㄤ4", + "ㄌㄧㄤ2", + "ㄌㄤ2" + ], + "莩": [ + "ㄈㄨ2", + "ㄆㄧㄠ3" + ], + "莪": [ + "ㄜ2" + ], + "莫": [ + "ㄇㄛ4", + "ㄇㄨ4" + ], + "莬": [ + "ㄨㄣ4", + "ㄨㄢ3", + "ㄇㄧㄢ3" + ], + "莭": [ + "ㄐㄧㄝ2" + ], + "莮": [ + "ㄋㄢ2" + ], + "莯": [ + "ㄇㄨ4" + ], + "莰": [ + "ㄎㄢ3" + ], + "莱": [ + "ㄌㄞ2" + ], + "莲": [ + "ㄌㄧㄢ2" + ], + "莳": [ + "ㄕ2", + "ㄕ4" + ], + "莴": [ + "ㄨㄛ1" + ], + "莵": [ + "ㄊㄨ4" + ], + "莶": [ + "ㄒㄧㄢ1" + ], + "获": [ + "ㄏㄨㄛ4" + ], + "莸": [ + "ㄧㄡ2" + ], + "莹": [ + "ㄧㄥ2" + ], + "莺": [ + "ㄧㄥ1" + ], + "莻": [ + "ㄍㄨㄥ4" + ], + "莼": [ + "ㄔㄨㄣ2" + ], + "莽": [ + "ㄇㄤ3", + "ㄇㄤ2" + ], + "莾": [ + "ㄇㄤ3" + ], + "莿": [ + "ㄘ4" + ], + "菀": [ + "ㄨㄢ3", + "ㄩ4", + "ㄩㄣ4" + ], + "菁": [ + "ㄐㄧㄥ1" + ], + "菂": [ + "ㄉㄧ4" + ], + "菃": [ + "ㄑㄩ2" + ], + "菄": [ + "ㄉㄨㄥ1" + ], + "菅": [ + "ㄐㄧㄢ1", + "ㄍㄨㄢ1" + ], + "菆": [ + "ㄗㄡ1", + "ㄘㄨㄢ2", + "ㄔㄨ4", + "ㄘㄨㄥ2" + ], + "菇": [ + "ㄍㄨ1" + ], + "菈": [ + "ㄌㄚ1" + ], + "菉": [ + "ㄌㄨ4", + "ㄌㄩ4" + ], + "菊": [ + "ㄐㄩ2" + ], + "菋": [ + "ㄨㄟ4" + ], + "菌": [ + "ㄐㄩㄣ1", + "ㄐㄩㄣ4" + ], + "菍": [ + "ㄋㄧㄝ4", + "ㄖㄣ3" + ], + "菎": [ + "ㄎㄨㄣ1" + ], + "菏": [ + "ㄏㄜ2", + "ㄍㄜ1" + ], + "菐": [ + "ㄆㄨ2" + ], + "菑": [ + "ㄗㄞ1", + "ㄗ1", + "ㄗ4" + ], + "菒": [ + "ㄍㄠ3" + ], + "菓": [ + "ㄍㄨㄛ3" + ], + "菔": [ + "ㄈㄨ2" + ], + "菕": [ + "ㄌㄨㄣ2" + ], + "菖": [ + "ㄔㄤ1" + ], + "菗": [ + "ㄔㄡ2" + ], + "菘": [ + "ㄙㄨㄥ1" + ], + "菙": [ + "ㄔㄨㄟ2" + ], + "菚": [ + "ㄓㄢ4" + ], + "菛": [ + "ㄇㄣ2" + ], + "菜": [ + "ㄘㄞ4" + ], + "菝": [ + "ㄅㄚ2" + ], + "菞": [ + "ㄌㄧ2" + ], + "菟": [ + "ㄊㄨ2", + "ㄊㄨ4" + ], + "菠": [ + "ㄅㄛ1" + ], + "菡": [ + "ㄏㄢ4" + ], + "菢": [ + "ㄅㄠ4" + ], + "菣": [ + "ㄑㄧㄣ4" + ], + "菤": [ + "ㄐㄩㄢ3" + ], + "菥": [ + "ㄒㄧ1", + "ㄙ1" + ], + "菦": [ + "ㄑㄧㄣ2" + ], + "菧": [ + "ㄉㄧ3" + ], + "菨": [ + "ㄐㄧㄝ1", + "ㄕㄚ4" + ], + "菩": [ + "ㄆㄨ2", + "ㄅㄟ4", + "ㄅㄛ2" + ], + "菪": [ + "ㄉㄤ4" + ], + "菫": [ + "ㄐㄧㄣ3" + ], + "菬": [ + "ㄑㄧㄠ2", + "ㄓㄠ3" + ], + "菭": [ + "ㄊㄞ2", + "ㄓ1", + "ㄔ2" + ], + "菮": [ + "ㄍㄥ1" + ], + "華": [ + "ㄏㄨㄚ2", + "ㄏㄨㄚ1", + "ㄏㄨㄚ4", + "ㄎㄨㄚ1" + ], + "菰": [ + "ㄍㄨ1" + ], + "菱": [ + "ㄌㄧㄥ2" + ], + "菲": [ + "ㄈㄟ1", + "ㄈㄟ3", + "ㄈㄟ4" + ], + "菳": [ + "ㄑㄧㄣ2", + "ㄑㄧㄣ1", + "ㄐㄧㄣ1" + ], + "菴": [ + "ㄢ1", + "ㄧㄢ3" + ], + "菵": [ + "ㄨㄤ3" + ], + "菶": [ + "ㄅㄥ3" + ], + "菷": [ + "ㄓㄡ3" + ], + "菸": [ + "ㄧㄢ1", + "ㄩ1", + "ㄩ4" + ], + "菹": [ + "ㄐㄩ1", + "ㄗㄨ1", + "ㄐㄩ4" + ], + "菺": [ + "ㄐㄧㄢ1" + ], + "菻": [ + "ㄌㄧㄣ3" + ], + "菼": [ + "ㄊㄢ3" + ], + "菽": [ + "ㄕㄨ1", + "ㄐㄧㄠ1" + ], + "菾": [ + "ㄊㄧㄢ2", + "ㄊㄧㄢ4" + ], + "菿": [ + "ㄉㄠ4", + "ㄉㄠ3" + ], + "萀": [ + "ㄏㄨ3" + ], + "萁": [ + "ㄑㄧ2", + "ㄐㄧ1" + ], + "萂": [ + "ㄏㄜ2" + ], + "萃": [ + "ㄘㄨㄟ4" + ], + "萄": [ + "ㄊㄠ2" + ], + "萅": [ + "ㄔㄨㄣ1" + ], + "萆": [ + "ㄅㄧ4", + "ㄆㄧ4", + "ㄅㄟ1", + "ㄅㄚ2" + ], + "萇": [ + "ㄔㄤ2" + ], + "萈": [ + "ㄏㄨㄢ2" + ], + "萉": [ + "ㄈㄟ4", + "ㄈㄟ2", + "ㄈㄨ2" + ], + "萊": [ + "ㄌㄞ2" + ], + "萋": [ + "ㄑㄧ1" + ], + "萌": [ + "ㄇㄥ2", + "ㄇㄧㄥ2" + ], + "萍": [ + "ㄆㄧㄥ2" + ], + "萎": [ + "ㄨㄟ1", + "ㄨㄟ3", + "ㄨㄟ4" + ], + "萏": [ + "ㄉㄢ4" + ], + "萐": [ + "ㄕㄚ4" + ], + "萑": [ + "ㄏㄨㄢ2", + "ㄓㄨㄟ1" + ], + "萒": [ + "ㄧㄢ3", + "ㄐㄩㄢ4" + ], + "萓": [ + "ㄧ2" + ], + "萔": [ + "ㄊㄧㄠ2" + ], + "萕": [ + "ㄑㄧ2" + ], + "萖": [ + "ㄨㄢ3" + ], + "萗": [ + "ㄘㄜ4" + ], + "萘": [ + "ㄋㄞ4" + ], + "萙": [ + "ㄓㄣ3" + ], + "萚": [ + "ㄊㄨㄛ4" + ], + "萛": [ + "ㄐㄧㄡ1" + ], + "萜": [ + "ㄊㄧㄝ1" + ], + "萝": [ + "ㄌㄨㄛ2" + ], + "萞": [ + "ㄅㄧ4" + ], + "萟": [ + "ㄧ4" + ], + "萠": [ + "ㄆㄢ1" + ], + "萡": [ + "ㄅㄛ5" + ], + "萢": [ + "ㄆㄠ1" + ], + "萣": [ + "ㄉㄧㄥ4" + ], + "萤": [ + "ㄧㄥ2" + ], + "营": [ + "ㄧㄥ2" + ], + "萦": [ + "ㄧㄥ2" + ], + "萧": [ + "ㄒㄧㄠ1" + ], + "萨": [ + "ㄙㄚ4" + ], + "萩": [ + "ㄑㄧㄡ1", + "ㄐㄧㄠ1" + ], + "萪": [ + "ㄎㄜ1" + ], + "萫": [ + "ㄒㄧㄤ4" + ], + "萬": [ + "ㄨㄢ4" + ], + "萭": [ + "ㄩ3", + "ㄐㄩ3" + ], + "萮": [ + "ㄩ2", + "ㄩ3", + "ㄩ4" + ], + "萯": [ + "ㄈㄨ4", + "ㄅㄟ4" + ], + "萰": [ + "ㄌㄧㄢ4" + ], + "萱": [ + "ㄒㄩㄢ1" + ], + "萲": [ + "ㄒㄩㄢ1" + ], + "萳": [ + "ㄋㄢ3", + "ㄋㄢ2" + ], + "萴": [ + "ㄘㄜ4" + ], + "萵": [ + "ㄨㄛ1" + ], + "萶": [ + "ㄔㄨㄣ3" + ], + "萷": [ + "ㄒㄧㄠ1", + "ㄕㄠ1", + "ㄕㄨㄛ4" + ], + "萸": [ + "ㄩ2" + ], + "萹": [ + "ㄅㄧㄢ3", + "ㄅㄧㄢ1", + "ㄆㄧㄢ2" + ], + "萺": [ + "ㄇㄠ4", + "ㄇㄨ4" + ], + "萻": [ + "ㄢ1" + ], + "萼": [ + "ㄜ4" + ], + "落": [ + "ㄌㄨㄛ4", + "ㄌㄚ4", + "ㄌㄠ4", + "ㄌㄨㄛ1" + ], + "萾": [ + "ㄧㄥ2" + ], + "萿": [ + "ㄎㄨㄛ4", + "ㄏㄨㄛ2" + ], + "葀": [ + "ㄎㄨㄛ4" + ], + "葁": [ + "ㄐㄧㄤ1" + ], + "葂": [ + "ㄇㄧㄢ3" + ], + "葃": [ + "ㄗㄨㄛ4", + "ㄗㄜ2" + ], + "葄": [ + "ㄗㄨㄛ4" + ], + "葅": [ + "ㄗㄨ1" + ], + "葆": [ + "ㄅㄠ3", + "ㄅㄠ1" + ], + "葇": [ + "ㄖㄡ2", + "ㄖㄡ3" + ], + "葈": [ + "ㄒㄧ3" + ], + "葉": [ + "ㄧㄝ4", + "ㄕㄜ4" + ], + "葊": [ + "ㄢ1" + ], + "葋": [ + "ㄑㄩ2" + ], + "葌": [ + "ㄐㄧㄢ1" + ], + "葍": [ + "ㄈㄨ2" + ], + "葎": [ + "ㄌㄩ4" + ], + "葏": [ + "ㄐㄧㄥ1" + ], + "葐": [ + "ㄆㄣ2", + "ㄈㄣ2" + ], + "葑": [ + "ㄈㄥ1", + "ㄈㄥ4" + ], + "葒": [ + "ㄏㄨㄥ2" + ], + "葓": [ + "ㄏㄨㄥ2" + ], + "葔": [ + "ㄏㄡ2" + ], + "葕": [ + "ㄧㄢ4" + ], + "葖": [ + "ㄊㄨ1" + ], + "著": [ + "ㄓㄨ4", + "ㄓㄜ5", + "ㄓㄨㄛ2", + "ㄔㄨ2", + "ㄓㄠ1", + "ㄓㄠ2" + ], + "葘": [ + "ㄗ1" + ], + "葙": [ + "ㄒㄧㄤ1" + ], + "葚": [ + "ㄖㄣ4", + "ㄕㄣ4" + ], + "葛": [ + "ㄍㄜ2", + "ㄍㄜ3" + ], + "葜": [ + "ㄑㄧㄚ1" + ], + "葝": [ + "ㄑㄧㄥ2", + "ㄐㄧㄥ4" + ], + "葞": [ + "ㄇㄧ3" + ], + "葟": [ + "ㄏㄨㄤ2" + ], + "葠": [ + "ㄕㄣ1", + "ㄕㄢ1" + ], + "葡": [ + "ㄆㄨ2", + "ㄅㄟ4" + ], + "葢": [ + "ㄍㄞ4" + ], + "董": [ + "ㄉㄨㄥ3", + "ㄓㄨㄥ3" + ], + "葤": [ + "ㄓㄡ4" + ], + "葥": [ + "ㄐㄧㄢ4", + "ㄑㄧㄢ2" + ], + "葦": [ + "ㄨㄟ3" + ], + "葧": [ + "ㄅㄛ2" + ], + "葨": [ + "ㄨㄟ1" + ], + "葩": [ + "ㄆㄚ1" + ], + "葪": [ + "ㄐㄧ4" + ], + "葫": [ + "ㄏㄨ2" + ], + "葬": [ + "ㄗㄤ4" + ], + "葭": [ + "ㄐㄧㄚ1", + "ㄒㄧㄚ2" + ], + "葮": [ + "ㄉㄨㄢ4" + ], + "葯": [ + "ㄧㄠ4" + ], + "葰": [ + "ㄙㄨㄟ1", + "ㄐㄩㄣ4", + "ㄙㄨㄛ3" + ], + "葱": [ + "ㄘㄨㄥ1", + "ㄔㄨㄤ1" + ], + "葲": [ + "ㄑㄩㄢ2" + ], + "葳": [ + "ㄨㄟ1" + ], + "葴": [ + "ㄓㄣ1", + "ㄑㄧㄢ2" + ], + "葵": [ + "ㄎㄨㄟ2" + ], + "葶": [ + "ㄊㄧㄥ2", + "ㄉㄧㄥ3" + ], + "葷": [ + "ㄏㄨㄣ1", + "ㄒㄩㄣ1" + ], + "葸": [ + "ㄒㄧ3" + ], + "葹": [ + "ㄕ1" + ], + "葺": [ + "ㄑㄧ4" + ], + "葻": [ + "ㄌㄢ2" + ], + "葼": [ + "ㄗㄨㄥ1" + ], + "葽": [ + "ㄧㄠ1", + "ㄧㄠ3" + ], + "葾": [ + "ㄩㄢ1" + ], + "葿": [ + "ㄇㄟ2" + ], + "蒀": [ + "ㄩㄣ1" + ], + "蒁": [ + "ㄕㄨ4" + ], + "蒂": [ + "ㄉㄧ4" + ], + "蒃": [ + "ㄓㄨㄢ4" + ], + "蒄": [ + "ㄍㄨㄢ1" + ], + "蒅": [ + "ㄖㄢ3" + ], + "蒆": [ + "ㄒㄩㄝ1" + ], + "蒇": [ + "ㄔㄢ3" + ], + "蒈": [ + "ㄎㄞ3" + ], + "蒉": [ + "ㄎㄨㄟ4" + ], + "蒊": [ + "ㄏㄨㄚ1" + ], + "蒋": [ + "ㄐㄧㄤ3" + ], + "蒌": [ + "ㄌㄡ2" + ], + "蒍": [ + "ㄨㄟ3", + "ㄏㄨㄚ1", + "ㄎㄨㄟ1", + "ㄜ2" + ], + "蒎": [ + "ㄆㄞ4" + ], + "蒏": [ + "ㄧㄡ5" + ], + "蒐": [ + "ㄙㄡ1", + "ㄏㄨㄟ4" + ], + "蒑": [ + "ㄧㄣ1" + ], + "蒒": [ + "ㄕ1" + ], + "蒓": [ + "ㄔㄨㄣ2" + ], + "蒔": [ + "ㄕ2", + "ㄕ4" + ], + "蒕": [ + "ㄩㄣ1" + ], + "蒖": [ + "ㄓㄣ1" + ], + "蒗": [ + "ㄌㄤ4" + ], + "蒘": [ + "ㄖㄨ2", + "ㄋㄚ2" + ], + "蒙": [ + "ㄇㄥ2", + "ㄇㄥ1", + "ㄇㄥ3" + ], + "蒚": [ + "ㄌㄧ4" + ], + "蒛": [ + "ㄑㄩㄝ1" + ], + "蒜": [ + "ㄙㄨㄢ4" + ], + "蒝": [ + "ㄩㄢ2", + "ㄏㄨㄢ2" + ], + "蒞": [ + "ㄌㄧ4" + ], + "蒟": [ + "ㄐㄩ3" + ], + "蒠": [ + "ㄒㄧ1" + ], + "蒡": [ + "ㄅㄤ4", + "ㄆㄤ2" + ], + "蒢": [ + "ㄔㄨ2" + ], + "蒣": [ + "ㄒㄩ2", + "ㄕㄨ2" + ], + "蒤": [ + "ㄊㄨ2" + ], + "蒥": [ + "ㄌㄧㄡ2" + ], + "蒦": [ + "ㄏㄨㄛ4", + "ㄨㄛ4" + ], + "蒧": [ + "ㄉㄧㄢ3" + ], + "蒨": [ + "ㄑㄧㄢ4" + ], + "蒩": [ + "ㄗㄨ1", + "ㄐㄩ4", + "ㄐㄧ2" + ], + "蒪": [ + "ㄆㄛ4" + ], + "蒫": [ + "ㄘㄨㄛ2" + ], + "蒬": [ + "ㄩㄢ1" + ], + "蒭": [ + "ㄔㄨ2" + ], + "蒮": [ + "ㄩ4" + ], + "蒯": [ + "ㄎㄨㄞ3", + "ㄎㄨㄞ4" + ], + "蒰": [ + "ㄆㄢ2" + ], + "蒱": [ + "ㄆㄨ2" + ], + "蒲": [ + "ㄆㄨ2", + "ㄅㄛ2" + ], + "蒳": [ + "ㄋㄚ4" + ], + "蒴": [ + "ㄕㄨㄛ4" + ], + "蒵": [ + "ㄒㄧ2", + "ㄒㄧ4" + ], + "蒶": [ + "ㄈㄣ2" + ], + "蒷": [ + "ㄩㄣ2" + ], + "蒸": [ + "ㄓㄥ1" + ], + "蒹": [ + "ㄐㄧㄢ1" + ], + "蒺": [ + "ㄐㄧ2" + ], + "蒻": [ + "ㄖㄨㄛ4" + ], + "蒼": [ + "ㄘㄤ1", + "ㄘㄤ3" + ], + "蒽": [ + "ㄣ1" + ], + "蒾": [ + "ㄇㄧ2" + ], + "蒿": [ + "ㄏㄠ1", + "ㄍㄠ3" + ], + "蓀": [ + "ㄙㄨㄣ1" + ], + "蓁": [ + "ㄓㄣ1", + "ㄑㄧㄣ2" + ], + "蓂": [ + "ㄇㄧㄥ2", + "ㄇㄧ4" + ], + "蓃": [ + "ㄙㄡ1", + "ㄙㄡ3" + ], + "蓄": [ + "ㄒㄩ4" + ], + "蓅": [ + "ㄌㄧㄡ2" + ], + "蓆": [ + "ㄒㄧ2" + ], + "蓇": [ + "ㄍㄨ3", + "ㄍㄨ1" + ], + "蓈": [ + "ㄌㄤ2" + ], + "蓉": [ + "ㄖㄨㄥ2" + ], + "蓊": [ + "ㄨㄥ3" + ], + "蓋": [ + "ㄍㄞ4", + "ㄍㄜ3" + ], + "蓌": [ + "ㄘㄨㄛ4" + ], + "蓍": [ + "ㄕ1" + ], + "蓎": [ + "ㄊㄤ2" + ], + "蓏": [ + "ㄌㄨㄛ3" + ], + "蓐": [ + "ㄖㄨ4" + ], + "蓑": [ + "ㄙㄨㄛ1", + "ㄙㄨㄟ1" + ], + "蓒": [ + "ㄒㄩㄢ1" + ], + "蓓": [ + "ㄅㄟ4" + ], + "蓔": [ + "ㄧㄠ3", + "ㄓㄨㄛ2" + ], + "蓕": [ + "ㄍㄨㄟ4" + ], + "蓖": [ + "ㄅㄧ4" + ], + "蓗": [ + "ㄗㄨㄥ3" + ], + "蓘": [ + "ㄍㄨㄣ3" + ], + "蓙": [ + "ㄗㄨㄛ4" + ], + "蓚": [ + "ㄊㄧㄠ2" + ], + "蓛": [ + "ㄘㄜ4" + ], + "蓜": [ + "ㄆㄟ4" + ], + "蓝": [ + "ㄌㄢ2", + "ㄌㄚ5" + ], + "蓞": [ + "ㄉㄢ4" + ], + "蓟": [ + "ㄐㄧ4" + ], + "蓠": [ + "ㄌㄧ2" + ], + "蓡": [ + "ㄕㄣ1" + ], + "蓢": [ + "ㄌㄤ3" + ], + "蓣": [ + "ㄩ4" + ], + "蓤": [ + "ㄌㄧㄥ2" + ], + "蓥": [ + "ㄧㄥ2" + ], + "蓦": [ + "ㄇㄛ4" + ], + "蓧": [ + "ㄉㄧㄠ4", + "ㄊㄧㄠ2", + "ㄉㄧ2" + ], + "蓨": [ + "ㄊㄧㄠ2", + "ㄒㄧㄡ1" + ], + "蓩": [ + "ㄇㄠ3" + ], + "蓪": [ + "ㄊㄨㄥ1" + ], + "蓫": [ + "ㄔㄨ4", + "ㄓㄨ2" + ], + "蓬": [ + "ㄆㄥ2", + "ㄆㄥ4" + ], + "蓭": [ + "ㄢ1" + ], + "蓮": [ + "ㄌㄧㄢ2", + "ㄌㄧㄢ3" + ], + "蓯": [ + "ㄘㄨㄥ1", + "ㄗㄨㄥ3", + "ㄙㄨㄥ3" + ], + "蓰": [ + "ㄒㄧ3" + ], + "蓱": [ + "ㄆㄧㄥ2" + ], + "蓲": [ + "ㄑㄧㄡ1", + "ㄡ1", + "ㄒㄩ1", + "ㄈㄨ1" + ], + "蓳": [ + "ㄐㄧㄣ3" + ], + "蓴": [ + "ㄔㄨㄣ2", + "ㄊㄨㄢ2" + ], + "蓵": [ + "ㄐㄧㄝ2" + ], + "蓶": [ + "ㄨㄟ2" + ], + "蓷": [ + "ㄊㄨㄟ1" + ], + "蓸": [ + "ㄘㄠ2" + ], + "蓹": [ + "ㄩ4" + ], + "蓺": [ + "ㄧ4" + ], + "蓻": [ + "ㄗ2", + "ㄐㄩ2" + ], + "蓼": [ + "ㄌㄧㄠ3", + "ㄌㄨ4", + "ㄌㄠ3", + "ㄌㄧㄡ3" + ], + "蓽": [ + "ㄅㄧ4" + ], + "蓾": [ + "ㄌㄨ3" + ], + "蓿": [ + "ㄒㄩ5", + "ㄙㄨ4" + ], + "蔀": [ + "ㄅㄨ4" + ], + "蔁": [ + "ㄓㄤ1" + ], + "蔂": [ + "ㄌㄟ2" + ], + "蔃": [ + "ㄑㄧㄤ2", + "ㄐㄧㄤ4" + ], + "蔄": [ + "ㄇㄢ4" + ], + "蔅": [ + "ㄧㄢ2" + ], + "蔆": [ + "ㄌㄧㄥ2" + ], + "蔇": [ + "ㄐㄧ4", + "ㄒㄧ4" + ], + "蔈": [ + "ㄅㄧㄠ1", + "ㄆㄧㄠ4", + "ㄆㄧㄠ3", + "ㄅㄧㄠ4" + ], + "蔉": [ + "ㄍㄨㄣ3" + ], + "蔊": [ + "ㄏㄢ3", + "ㄏㄢ4" + ], + "蔋": [ + "ㄉㄧ2" + ], + "蔌": [ + "ㄙㄨ4" + ], + "蔍": [ + "ㄌㄨ4", + "ㄘㄨ1" + ], + "蔎": [ + "ㄕㄜ4" + ], + "蔏": [ + "ㄕㄤ1" + ], + "蔐": [ + "ㄉㄧ2" + ], + "蔑": [ + "ㄇㄧㄝ4" + ], + "蔒": [ + "ㄒㄩㄣ1" + ], + "蔓": [ + "ㄇㄢ4", + "ㄇㄢ2", + "ㄨㄢ4" + ], + "蔔": [ + "ㄅㄛ2", + "ㄅㄛ5" + ], + "蔕": [ + "ㄉㄧ4", + "ㄉㄞ4", + "ㄔㄞ4" + ], + "蔖": [ + "ㄘㄨㄛ2", + "ㄘㄨ3", + "ㄓㄚ1" + ], + "蔗": [ + "ㄓㄜ4" + ], + "蔘": [ + "ㄕㄣ1", + "ㄙㄢ1", + "ㄙㄢ3" + ], + "蔙": [ + "ㄒㄩㄢ4" + ], + "蔚": [ + "ㄨㄟ4", + "ㄩ4" + ], + "蔛": [ + "ㄏㄨ2" + ], + "蔜": [ + "ㄠ2" + ], + "蔝": [ + "ㄇㄧ3" + ], + "蔞": [ + "ㄌㄡ2", + "ㄌㄩ3", + "ㄐㄩ4", + "ㄌㄧㄡ3" + ], + "蔟": [ + "ㄘㄨ4", + "ㄘㄡ4", + "ㄔㄨㄛ4" + ], + "蔠": [ + "ㄓㄨㄥ1" + ], + "蔡": [ + "ㄘㄞ4", + "ㄙㄚ4", + "ㄘㄚ1" + ], + "蔢": [ + "ㄆㄛ2", + "ㄅㄛ4" + ], + "蔣": [ + "ㄐㄧㄤ3", + "ㄐㄧㄤ1" + ], + "蔤": [ + "ㄇㄧ4" + ], + "蔥": [ + "ㄘㄨㄥ1" + ], + "蔦": [ + "ㄋㄧㄠ3" + ], + "蔧": [ + "ㄏㄨㄟ4" + ], + "蔨": [ + "ㄐㄩㄢ4", + "ㄐㄩㄣ4" + ], + "蔩": [ + "ㄧㄣ2" + ], + "蔪": [ + "ㄐㄧㄢ4", + "ㄐㄧㄢ1", + "ㄕㄢ1" + ], + "蔫": [ + "ㄋㄧㄢ1", + "ㄧㄢ1", + "ㄧㄢ4" + ], + "蔬": [ + "ㄕㄨ1", + "ㄕㄨ3" + ], + "蔭": [ + "ㄧㄣ1", + "ㄧㄣ4" + ], + "蔮": [ + "ㄍㄨㄛ2" + ], + "蔯": [ + "ㄔㄣ2" + ], + "蔰": [ + "ㄏㄨ4" + ], + "蔱": [ + "ㄕㄚ1" + ], + "蔲": [ + "ㄎㄡ4" + ], + "蔳": [ + "ㄑㄧㄢ4" + ], + "蔴": [ + "ㄇㄚ2" + ], + "蔵": [ + "ㄗㄤ1", + "ㄘㄤ2" + ], + "蔶": [ + "ㄗㄜ2" + ], + "蔷": [ + "ㄑㄧㄤ2" + ], + "蔸": [ + "ㄉㄡ1" + ], + "蔹": [ + "ㄌㄧㄢ3" + ], + "蔺": [ + "ㄌㄧㄣ4" + ], + "蔻": [ + "ㄎㄡ4" + ], + "蔼": [ + "ㄞ3" + ], + "蔽": [ + "ㄅㄧ4", + "ㄅㄧㄝ1", + "ㄆㄧㄝ1" + ], + "蔾": [ + "ㄌㄧ2" + ], + "蔿": [ + "ㄨㄟ3" + ], + "蕀": [ + "ㄐㄧ2" + ], + "蕁": [ + "ㄑㄧㄢ2", + "ㄊㄢ2", + "ㄒㄩㄣ2" + ], + "蕂": [ + "ㄕㄥ4" + ], + "蕃": [ + "ㄈㄢ1", + "ㄅㄛ1", + "ㄈㄢ2", + "ㄆㄧ2" + ], + "蕄": [ + "ㄇㄥ2" + ], + "蕅": [ + "ㄡ3" + ], + "蕆": [ + "ㄔㄢ3" + ], + "蕇": [ + "ㄉㄧㄢ3" + ], + "蕈": [ + "ㄒㄩㄣ4", + "ㄊㄢ2" + ], + "蕉": [ + "ㄐㄧㄠ1", + "ㄑㄧㄠ2", + "ㄑㄧㄠ1" + ], + "蕊": [ + "ㄖㄨㄟ3", + "ㄐㄩㄢ3" + ], + "蕋": [ + "ㄖㄨㄟ3" + ], + "蕌": [ + "ㄌㄟ3" + ], + "蕍": [ + "ㄩ2" + ], + "蕎": [ + "ㄑㄧㄠ2", + "ㄐㄧㄠ1" + ], + "蕏": [ + "ㄔㄨ2" + ], + "蕐": [ + "ㄏㄨㄚ2" + ], + "蕑": [ + "ㄐㄧㄢ1" + ], + "蕒": [ + "ㄇㄞ3" + ], + "蕓": [ + "ㄩㄣ2" + ], + "蕔": [ + "ㄅㄠ1" + ], + "蕕": [ + "ㄧㄡ2" + ], + "蕖": [ + "ㄑㄩ2" + ], + "蕗": [ + "ㄌㄨ4" + ], + "蕘": [ + "ㄖㄠ2", + "ㄧㄠ2" + ], + "蕙": [ + "ㄏㄨㄟ4" + ], + "蕚": [ + "ㄜ4" + ], + "蕛": [ + "ㄊㄧ2" + ], + "蕜": [ + "ㄈㄟ3" + ], + "蕝": [ + "ㄐㄩㄝ2", + "ㄗㄨㄟ4" + ], + "蕞": [ + "ㄗㄨㄟ4", + "ㄐㄩㄝ2", + "ㄓㄨㄛ2" + ], + "蕟": [ + "ㄈㄚ4", + "ㄈㄟ4" + ], + "蕠": [ + "ㄖㄨ2" + ], + "蕡": [ + "ㄈㄣ2", + "ㄈㄟ4" + ], + "蕢": [ + "ㄎㄨㄟ4", + "ㄎㄨㄞ4" + ], + "蕣": [ + "ㄕㄨㄣ4" + ], + "蕤": [ + "ㄖㄨㄟ2" + ], + "蕥": [ + "ㄧㄚ3" + ], + "蕦": [ + "ㄒㄩ1" + ], + "蕧": [ + "ㄈㄨ4" + ], + "蕨": [ + "ㄐㄩㄝ2" + ], + "蕩": [ + "ㄉㄤ4", + "ㄊㄤ1", + "ㄊㄤ4" + ], + "蕪": [ + "ㄨ2", + "ㄨ3" + ], + "蕫": [ + "ㄉㄨㄥ3" + ], + "蕬": [ + "ㄙ1" + ], + "蕭": [ + "ㄒㄧㄠ1" + ], + "蕮": [ + "ㄒㄧ4" + ], + "蕯": [ + "ㄌㄨㄥ2" + ], + "蕰": [ + "ㄨㄣ1", + "ㄩㄣ4" + ], + "蕱": [ + "ㄕㄠ1" + ], + "蕲": [ + "ㄑㄧ2" + ], + "蕳": [ + "ㄐㄧㄢ1" + ], + "蕴": [ + "ㄩㄣ4" + ], + "蕵": [ + "ㄙㄨㄣ1" + ], + "蕶": [ + "ㄌㄧㄥ2" + ], + "蕷": [ + "ㄩ4" + ], + "蕸": [ + "ㄒㄧㄚ2" + ], + "蕹": [ + "ㄨㄥ4", + "ㄩㄥ1" + ], + "蕺": [ + "ㄐㄧ2", + "ㄑㄧㄝ4" + ], + "蕻": [ + "ㄏㄨㄥ2", + "ㄏㄨㄥ4" + ], + "蕼": [ + "ㄙ4" + ], + "蕽": [ + "ㄋㄨㄥ2" + ], + "蕾": [ + "ㄌㄟ3" + ], + "蕿": [ + "ㄒㄩㄢ1" + ], + "薀": [ + "ㄩㄣ4" + ], + "薁": [ + "ㄩ4", + "ㄠ4" + ], + "薂": [ + "ㄒㄧ2", + "ㄒㄧㄠ4" + ], + "薃": [ + "ㄏㄠ4" + ], + "薄": [ + "ㄅㄠ2", + "ㄅㄛ2", + "ㄅㄛ4", + "ㄅㄨ4" + ], + "薅": [ + "ㄏㄠ1" + ], + "薆": [ + "ㄞ4" + ], + "薇": [ + "ㄨㄟ1" + ], + "薈": [ + "ㄏㄨㄟ4" + ], + "薉": [ + "ㄏㄨㄟ4" + ], + "薊": [ + "ㄐㄧ4" + ], + "薋": [ + "ㄘ2", + "ㄗ1" + ], + "薌": [ + "ㄒㄧㄤ1", + "ㄒㄧㄤ3" + ], + "薍": [ + "ㄨㄢ4", + "ㄌㄨㄢ4" + ], + "薎": [ + "ㄇㄧㄝ4" + ], + "薏": [ + "ㄧ4" + ], + "薐": [ + "ㄌㄥ2" + ], + "薑": [ + "ㄐㄧㄤ1" + ], + "薒": [ + "ㄘㄢ4" + ], + "薓": [ + "ㄕㄣ1" + ], + "薔": [ + "ㄑㄧㄤ2", + "ㄙㄜ4" + ], + "薕": [ + "ㄌㄧㄢ2" + ], + "薖": [ + "ㄎㄜ1" + ], + "薗": [ + "ㄩㄢ2" + ], + "薘": [ + "ㄉㄚ2" + ], + "薙": [ + "ㄊㄧ4", + "ㄓ4" + ], + "薚": [ + "ㄊㄤ1" + ], + "薛": [ + "ㄒㄩㄝ1" + ], + "薜": [ + "ㄅㄧ4", + "ㄅㄛ4", + "ㄅㄛ2", + "ㄅㄞ4", + "ㄆㄧ4" + ], + "薝": [ + "ㄓㄢ1" + ], + "薞": [ + "ㄙㄨㄣ1" + ], + "薟": [ + "ㄒㄧㄢ1", + "ㄌㄧㄢ3", + "ㄧㄢ2", + "ㄎㄢ4" + ], + "薠": [ + "ㄈㄢ2" + ], + "薡": [ + "ㄉㄧㄥ3" + ], + "薢": [ + "ㄒㄧㄝ4" + ], + "薣": [ + "ㄍㄨ3" + ], + "薤": [ + "ㄒㄧㄝ4" + ], + "薥": [ + "ㄕㄨ3", + "ㄓㄨ2" + ], + "薦": [ + "ㄐㄧㄢ4" + ], + "薧": [ + "ㄏㄠ1", + "ㄎㄠ3" + ], + "薨": [ + "ㄏㄨㄥ1" + ], + "薩": [ + "ㄙㄚ4" + ], + "薪": [ + "ㄒㄧㄣ1" + ], + "薫": [ + "ㄒㄩㄣ1" + ], + "薬": [ + "ㄧㄠ4" + ], + "薭": [ + "ㄅㄞ4" + ], + "薮": [ + "ㄙㄡ3" + ], + "薯": [ + "ㄕㄨ3" + ], + "薰": [ + "ㄒㄩㄣ1" + ], + "薱": [ + "ㄉㄨㄟ4" + ], + "薲": [ + "ㄆㄧㄣ2" + ], + "薳": [ + "ㄨㄟ3", + "ㄩㄢ3" + ], + "薴": [ + "ㄋㄧㄥ2" + ], + "薵": [ + "ㄔㄡ2", + "ㄓㄡ4", + "ㄉㄠ4" + ], + "薶": [ + "ㄇㄞ2", + "ㄨㄛ1" + ], + "薷": [ + "ㄖㄨ2" + ], + "薸": [ + "ㄆㄧㄠ2" + ], + "薹": [ + "ㄊㄞ2" + ], + "薺": [ + "ㄐㄧ4", + "ㄘ2", + "ㄑㄧ4", + "ㄑㄧ2" + ], + "薻": [ + "ㄗㄠ3" + ], + "薼": [ + "ㄔㄣ2" + ], + "薽": [ + "ㄓㄣ1" + ], + "薾": [ + "ㄦ3" + ], + "薿": [ + "ㄋㄧ3" + ], + "藀": [ + "ㄧㄥ2" + ], + "藁": [ + "ㄍㄠ3" + ], + "藂": [ + "ㄘㄨㄥ2", + "ㄘㄨㄥ4" + ], + "藃": [ + "ㄒㄧㄠ1", + "ㄏㄠ4", + "ㄏㄜ4" + ], + "藄": [ + "ㄑㄧ2" + ], + "藅": [ + "ㄈㄚ2" + ], + "藆": [ + "ㄐㄧㄢ3" + ], + "藇": [ + "ㄒㄩ4", + "ㄩ3", + "ㄩ2", + "ㄩ4", + "ㄒㄩ1" + ], + "藈": [ + "ㄎㄨㄟ2" + ], + "藉": [ + "ㄐㄧ2", + "ㄐㄧㄝ4" + ], + "藊": [ + "ㄅㄧㄢ3" + ], + "藋": [ + "ㄉㄧㄠ4", + "ㄉㄧ2", + "ㄓㄨㄛ2" + ], + "藌": [ + "ㄇㄧ4" + ], + "藍": [ + "ㄌㄢ2", + "ㄌㄚ5" + ], + "藎": [ + "ㄐㄧㄣ4" + ], + "藏": [ + "ㄘㄤ2", + "ㄗㄤ4", + "ㄗㄤ1" + ], + "藐": [ + "ㄇㄧㄠ3", + "ㄇㄛ4" + ], + "藑": [ + "ㄑㄩㄥ2" + ], + "藒": [ + "ㄑㄧㄝ4" + ], + "藓": [ + "ㄒㄧㄢ3" + ], + "藔": [ + "ㄌㄧㄠ2" + ], + "藕": [ + "ㄡ3" + ], + "藖": [ + "ㄒㄧㄢ2", + "ㄑㄧㄢ1" + ], + "藗": [ + "ㄙㄨ4" + ], + "藘": [ + "ㄌㄩ2" + ], + "藙": [ + "ㄧ4" + ], + "藚": [ + "ㄒㄩ4" + ], + "藛": [ + "ㄒㄧㄝ3" + ], + "藜": [ + "ㄌㄧ2" + ], + "藝": [ + "ㄧ4" + ], + "藞": [ + "ㄌㄚ3" + ], + "藟": [ + "ㄌㄟ3" + ], + "藠": [ + "ㄐㄧㄠ4" + ], + "藡": [ + "ㄉㄧ2" + ], + "藢": [ + "ㄓ3" + ], + "藣": [ + "ㄅㄟ1" + ], + "藤": [ + "ㄊㄥ2" + ], + "藥": [ + "ㄧㄠ4", + "ㄕㄨㄛ4", + "ㄌㄩㄝ4" + ], + "藦": [ + "ㄇㄛ4", + "ㄇㄛ2" + ], + "藧": [ + "ㄏㄨㄢ4" + ], + "藨": [ + "ㄅㄧㄠ1", + "ㄆㄠ1" + ], + "藩": [ + "ㄈㄢ1", + "ㄈㄢ2" + ], + "藪": [ + "ㄙㄡ3", + "ㄕㄨ3", + "ㄘㄡ4" + ], + "藫": [ + "ㄊㄢ2" + ], + "藬": [ + "ㄊㄨㄟ1" + ], + "藭": [ + "ㄑㄩㄥ2" + ], + "藮": [ + "ㄑㄧㄠ2" + ], + "藯": [ + "ㄨㄟ4" + ], + "藰": [ + "ㄌㄧㄡ2", + "ㄌㄧㄡ3" + ], + "藱": [ + "ㄏㄨㄟ4", + "ㄏㄨㄟ2" + ], + "藲": [ + "ㄡ1" + ], + "藳": [ + "ㄍㄠ3" + ], + "藴": [ + "ㄩㄣ4", + "ㄨㄣ1" + ], + "藵": [ + "ㄅㄠ3" + ], + "藶": [ + "ㄌㄧ4" + ], + "藷": [ + "ㄕㄨ3", + "ㄓㄨ1" + ], + "藸": [ + "ㄔㄨ2", + "ㄓㄨ1", + "ㄓㄚ1" + ], + "藹": [ + "ㄞ3" + ], + "藺": [ + "ㄌㄧㄣ4" + ], + "藻": [ + "ㄗㄠ3" + ], + "藼": [ + "ㄒㄩㄢ1" + ], + "藽": [ + "ㄑㄧㄣ4" + ], + "藾": [ + "ㄌㄞ4" + ], + "藿": [ + "ㄏㄨㄛ4", + "ㄏㄜ2" + ], + "蘀": [ + "ㄊㄨㄛ4", + "ㄗㄜ2" + ], + "蘁": [ + "ㄨ4", + "ㄜ4" + ], + "蘂": [ + "ㄖㄨㄟ3" + ], + "蘃": [ + "ㄖㄨㄟ3" + ], + "蘄": [ + "ㄑㄧ2", + "ㄐㄧ1", + "ㄑㄧㄣ2" + ], + "蘅": [ + "ㄏㄥ2" + ], + "蘆": [ + "ㄌㄨ2", + "ㄌㄨ3" + ], + "蘇": [ + "ㄙㄨ1" + ], + "蘈": [ + "ㄊㄨㄟ2" + ], + "蘉": [ + "ㄇㄥ2", + "ㄇㄤ2" + ], + "蘊": [ + "ㄩㄣ4" + ], + "蘋": [ + "ㄆㄧㄥ2", + "ㄆㄧㄣ2" + ], + "蘌": [ + "ㄩ3" + ], + "蘍": [ + "ㄒㄩㄣ1" + ], + "蘎": [ + "ㄐㄧ4" + ], + "蘏": [ + "ㄐㄩㄥ1" + ], + "蘐": [ + "ㄒㄩㄢ1" + ], + "蘑": [ + "ㄇㄛ2" + ], + "蘒": [ + "ㄑㄧㄡ1" + ], + "蘓": [ + "ㄙㄨ1" + ], + "蘔": [ + "ㄐㄩㄥ1" + ], + "蘕": [ + "ㄆㄥ2" + ], + "蘖": [ + "ㄋㄧㄝ4", + "ㄅㄛ4" + ], + "蘗": [ + "ㄅㄛ4", + "ㄅㄧ4" + ], + "蘘": [ + "ㄖㄤ2", + "ㄒㄧㄤ1", + "ㄋㄤ1" + ], + "蘙": [ + "ㄧ4" + ], + "蘚": [ + "ㄒㄧㄢ3" + ], + "蘛": [ + "ㄩ2" + ], + "蘜": [ + "ㄐㄩ2" + ], + "蘝": [ + "ㄌㄧㄢ3" + ], + "蘞": [ + "ㄌㄧㄢ3", + "ㄒㄧㄢ1" + ], + "蘟": [ + "ㄧㄣ3" + ], + "蘠": [ + "ㄑㄧㄤ2" + ], + "蘡": [ + "ㄧㄥ1" + ], + "蘢": [ + "ㄌㄨㄥ2", + "ㄌㄨㄥ3", + "ㄌㄨㄥ4" + ], + "蘣": [ + "ㄊㄡ3" + ], + "蘤": [ + "ㄏㄨㄚ1" + ], + "蘥": [ + "ㄩㄝ4" + ], + "蘦": [ + "ㄌㄧㄥ2" + ], + "蘧": [ + "ㄑㄩ2", + "ㄐㄩ4" + ], + "蘨": [ + "ㄧㄠ2" + ], + "蘩": [ + "ㄈㄢ2" + ], + "蘪": [ + "ㄇㄟ2" + ], + "蘫": [ + "ㄏㄢ4", + "ㄌㄢ4" + ], + "蘬": [ + "ㄎㄨㄟ1", + "ㄏㄨㄟ3", + "ㄍㄨㄟ1" + ], + "蘭": [ + "ㄌㄢ2" + ], + "蘮": [ + "ㄐㄧ4" + ], + "蘯": [ + "ㄉㄤ4" + ], + "蘰": [ + "ㄇㄢ4" + ], + "蘱": [ + "ㄌㄟ4" + ], + "蘲": [ + "ㄌㄟ2" + ], + "蘳": [ + "ㄏㄨㄟ1" + ], + "蘴": [ + "ㄈㄥ1", + "ㄙㄨㄥ1" + ], + "蘵": [ + "ㄓ1" + ], + "蘶": [ + "ㄨㄟ4" + ], + "蘷": [ + "ㄎㄨㄟ2" + ], + "蘸": [ + "ㄓㄢ4" + ], + "蘹": [ + "ㄏㄨㄞ2" + ], + "蘺": [ + "ㄌㄧ2" + ], + "蘻": [ + "ㄐㄧ4" + ], + "蘼": [ + "ㄇㄧ2" + ], + "蘽": [ + "ㄌㄟ3" + ], + "蘾": [ + "ㄏㄨㄞ4" + ], + "蘿": [ + "ㄌㄨㄛ2" + ], + "虀": [ + "ㄐㄧ1" + ], + "虁": [ + "ㄎㄨㄟ2" + ], + "虂": [ + "ㄌㄨ4" + ], + "虃": [ + "ㄐㄧㄢ1" + ], + "虄": [ + "ㄙㄚ4" + ], + "虅": [ + "ㄊㄥ2" + ], + "虆": [ + "ㄌㄟ2" + ], + "虇": [ + "ㄑㄩㄢ3" + ], + "虈": [ + "ㄒㄧㄠ1" + ], + "虉": [ + "ㄧ4" + ], + "虊": [ + "ㄌㄨㄢ2" + ], + "虋": [ + "ㄇㄣ2" + ], + "虌": [ + "ㄅㄧㄝ1" + ], + "虍": [ + "ㄏㄨ1" + ], + "虎": [ + "ㄏㄨ3", + "ㄏㄨ4" + ], + "虏": [ + "ㄌㄨ3" + ], + "虐": [ + "ㄋㄩㄝ4" + ], + "虑": [ + "ㄌㄩ4", + "ㄅㄧ4" + ], + "虒": [ + "ㄙ1", + "ㄒㄧ1", + "ㄊㄧ2", + "ㄓ4" + ], + "虓": [ + "ㄒㄧㄠ1" + ], + "虔": [ + "ㄑㄧㄢ2" + ], + "處": [ + "ㄔㄨ4", + "ㄔㄨ3", + "ㄐㄩ4" + ], + "虖": [ + "ㄏㄨ1", + "ㄏㄨ2", + "ㄏㄨ4" + ], + "虗": [ + "ㄒㄩ1" + ], + "虘": [ + "ㄘㄨㄛ2" + ], + "虙": [ + "ㄈㄨ2" + ], + "虚": [ + "ㄒㄩ1" + ], + "虛": [ + "ㄒㄩ1" + ], + "虜": [ + "ㄌㄨ3" + ], + "虝": [ + "ㄏㄨ3" + ], + "虞": [ + "ㄩ2" + ], + "號": [ + "ㄏㄠ4", + "ㄏㄠ2" + ], + "虠": [ + "ㄐㄧㄠ1", + "ㄏㄠ2" + ], + "虡": [ + "ㄐㄩ4" + ], + "虢": [ + "ㄍㄨㄛ2" + ], + "虣": [ + "ㄅㄠ4" + ], + "虤": [ + "ㄧㄢ2" + ], + "虥": [ + "ㄓㄢ4" + ], + "虦": [ + "ㄓㄢ4" + ], + "虧": [ + "ㄎㄨㄟ1" + ], + "虨": [ + "ㄅㄧㄣ1" + ], + "虩": [ + "ㄒㄧ4", + "ㄙㄜ4" + ], + "虪": [ + "ㄕㄨ4" + ], + "虫": [ + "ㄔㄨㄥ2", + "ㄏㄨㄟ3" + ], + "虬": [ + "ㄑㄧㄡ2" + ], + "虭": [ + "ㄉㄧㄠ1", + "ㄉㄠ1" + ], + "虮": [ + "ㄐㄧ3", + "ㄐㄧ1" + ], + "虯": [ + "ㄑㄧㄡ2" + ], + "虰": [ + "ㄉㄧㄥ1", + "ㄔㄥ1" + ], + "虱": [ + "ㄕ1" + ], + "虲": [ + "ㄒㄧㄚ1" + ], + "虳": [ + "ㄐㄩㄝ2" + ], + "虴": [ + "ㄓㄜ2" + ], + "虵": [ + "ㄕㄜ2", + "ㄧㄝ3" + ], + "虶": [ + "ㄩ1" + ], + "虷": [ + "ㄏㄢ2", + "ㄍㄢ1" + ], + "虸": [ + "ㄗ3" + ], + "虹": [ + "ㄏㄨㄥ2", + "ㄐㄧㄤ4", + "ㄏㄨㄥ4", + "ㄍㄨㄥ4" + ], + "虺": [ + "ㄏㄨㄟ1", + "ㄏㄨㄟ3" + ], + "虻": [ + "ㄇㄥ2" + ], + "虼": [ + "ㄍㄜ4" + ], + "虽": [ + "ㄙㄨㄟ1" + ], + "虾": [ + "ㄒㄧㄚ1", + "ㄏㄚ2" + ], + "虿": [ + "ㄔㄞ4" + ], + "蚀": [ + "ㄕ2" + ], + "蚁": [ + "ㄧ3" + ], + "蚂": [ + "ㄇㄚ3", + "ㄇㄚ4", + "ㄇㄚ1" + ], + "蚃": [ + "ㄒㄧㄤ3" + ], + "蚄": [ + "ㄈㄤ1", + "ㄅㄤ4" + ], + "蚅": [ + "ㄜ4" + ], + "蚆": [ + "ㄅㄚ1" + ], + "蚇": [ + "ㄔ3" + ], + "蚈": [ + "ㄑㄧㄢ1" + ], + "蚉": [ + "ㄨㄣ2" + ], + "蚊": [ + "ㄨㄣ2" + ], + "蚋": [ + "ㄖㄨㄟ4" + ], + "蚌": [ + "ㄅㄤ4", + "ㄅㄥ4", + "ㄆㄧ2", + "ㄈㄥ1" + ], + "蚍": [ + "ㄆㄧ2" + ], + "蚎": [ + "ㄩㄝ4" + ], + "蚏": [ + "ㄩㄝ4" + ], + "蚐": [ + "ㄐㄩㄣ1" + ], + "蚑": [ + "ㄑㄧ2" + ], + "蚒": [ + "ㄊㄨㄥ2" + ], + "蚓": [ + "ㄧㄣ3" + ], + "蚔": [ + "ㄑㄧ2", + "ㄓ3" + ], + "蚕": [ + "ㄘㄢ2", + "ㄊㄧㄢ3" + ], + "蚖": [ + "ㄩㄢ2", + "ㄨㄢ2" + ], + "蚗": [ + "ㄐㄩㄝ2", + "ㄑㄩㄝ1" + ], + "蚘": [ + "ㄏㄨㄟ2", + "ㄏㄨㄟ4", + "ㄧㄡ2" + ], + "蚙": [ + "ㄑㄧㄣ2", + "ㄑㄧㄢ2" + ], + "蚚": [ + "ㄑㄧ2" + ], + "蚛": [ + "ㄓㄨㄥ4" + ], + "蚜": [ + "ㄧㄚ2" + ], + "蚝": [ + "ㄏㄠ2", + "ㄘ4" + ], + "蚞": [ + "ㄇㄨ4" + ], + "蚟": [ + "ㄨㄤ2" + ], + "蚠": [ + "ㄈㄣ2" + ], + "蚡": [ + "ㄈㄣ2" + ], + "蚢": [ + "ㄏㄤ2" + ], + "蚣": [ + "ㄍㄨㄥ1", + "ㄓㄨㄥ1" + ], + "蚤": [ + "ㄗㄠ3", + "ㄓㄠ3" + ], + "蚥": [ + "ㄈㄨ4", + "ㄈㄨ3" + ], + "蚦": [ + "ㄖㄢ2" + ], + "蚧": [ + "ㄐㄧㄝ4" + ], + "蚨": [ + "ㄈㄨ2" + ], + "蚩": [ + "ㄔ1" + ], + "蚪": [ + "ㄉㄡ3" + ], + "蚫": [ + "ㄅㄠ4", + "ㄆㄠ2" + ], + "蚬": [ + "ㄒㄧㄢ3" + ], + "蚭": [ + "ㄋㄧ2" + ], + "蚮": [ + "ㄉㄞ4" + ], + "蚯": [ + "ㄑㄧㄡ1" + ], + "蚰": [ + "ㄧㄡ2", + "ㄓㄨ2" + ], + "蚱": [ + "ㄓㄚ4" + ], + "蚲": [ + "ㄆㄧㄥ2" + ], + "蚳": [ + "ㄔ2", + "ㄔ1", + "ㄉㄧ4" + ], + "蚴": [ + "ㄧㄡ4", + "ㄧㄡ3", + "ㄋㄧㄡ4" + ], + "蚵": [ + "ㄏㄜ2", + "ㄎㄜ4" + ], + "蚶": [ + "ㄏㄢ1", + "ㄏㄢ2" + ], + "蚷": [ + "ㄐㄩ4" + ], + "蚸": [ + "ㄌㄧ4" + ], + "蚹": [ + "ㄈㄨ4" + ], + "蚺": [ + "ㄖㄢ2", + "ㄊㄧㄢ4" + ], + "蚻": [ + "ㄓㄚ2" + ], + "蚼": [ + "ㄍㄡ3", + "ㄑㄩ2", + "ㄒㄩ4" + ], + "蚽": [ + "ㄆㄧ2" + ], + "蚾": [ + "ㄆㄧ2", + "ㄅㄛ3" + ], + "蚿": [ + "ㄒㄧㄢ2" + ], + "蛀": [ + "ㄓㄨ4" + ], + "蛁": [ + "ㄉㄧㄠ1" + ], + "蛂": [ + "ㄅㄧㄝ2" + ], + "蛃": [ + "ㄅㄧㄥ3" + ], + "蛄": [ + "ㄍㄨ1", + "ㄍㄨ3" + ], + "蛅": [ + "ㄓㄢ1" + ], + "蛆": [ + "ㄑㄩ1", + "ㄐㄩ1" + ], + "蛇": [ + "ㄕㄜ2", + "ㄧ2", + "ㄊㄨㄛ2", + "ㄔ2" + ], + "蛈": [ + "ㄊㄧㄝ3" + ], + "蛉": [ + "ㄌㄧㄥ2" + ], + "蛊": [ + "ㄍㄨ3" + ], + "蛋": [ + "ㄉㄢ4" + ], + "蛌": [ + "ㄍㄨ3" + ], + "蛍": [ + "ㄧㄥ2" + ], + "蛎": [ + "ㄌㄧ4" + ], + "蛏": [ + "ㄔㄥ1" + ], + "蛐": [ + "ㄑㄩ1" + ], + "蛑": [ + "ㄇㄡ2", + "ㄇㄠ2" + ], + "蛒": [ + "ㄍㄜ2", + "ㄌㄨㄛ4" + ], + "蛓": [ + "ㄘ4" + ], + "蛔": [ + "ㄏㄨㄟ2" + ], + "蛕": [ + "ㄏㄨㄟ2", + "ㄏㄨㄟ3" + ], + "蛖": [ + "ㄇㄤ2", + "ㄅㄤ4" + ], + "蛗": [ + "ㄈㄨ4" + ], + "蛘": [ + "ㄧㄤ2", + "ㄧㄤ3" + ], + "蛙": [ + "ㄨㄚ1", + "ㄐㄩㄝ2" + ], + "蛚": [ + "ㄌㄧㄝ4" + ], + "蛛": [ + "ㄓㄨ1" + ], + "蛜": [ + "ㄧ1" + ], + "蛝": [ + "ㄒㄧㄢ2" + ], + "蛞": [ + "ㄎㄨㄛ4", + "ㄕㄜ2" + ], + "蛟": [ + "ㄐㄧㄠ1" + ], + "蛠": [ + "ㄌㄧ4" + ], + "蛡": [ + "ㄧ4", + "ㄒㄩ3" + ], + "蛢": [ + "ㄆㄧㄥ2" + ], + "蛣": [ + "ㄑㄧ1", + "ㄐㄧㄝ2", + "ㄑㄧㄝ4" + ], + "蛤": [ + "ㄏㄚ2", + "ㄍㄜ2", + "ㄏㄚ1", + "ㄜ2" + ], + "蛥": [ + "ㄕㄜ2" + ], + "蛦": [ + "ㄧ2" + ], + "蛧": [ + "ㄨㄤ3" + ], + "蛨": [ + "ㄇㄛ4" + ], + "蛩": [ + "ㄑㄩㄥ2", + "ㄍㄨㄥ3" + ], + "蛪": [ + "ㄑㄧㄝ4", + "ㄋㄧ2" + ], + "蛫": [ + "ㄍㄨㄟ3" + ], + "蛬": [ + "ㄑㄩㄥ2" + ], + "蛭": [ + "ㄓ4" + ], + "蛮": [ + "ㄇㄢ2" + ], + "蛯": [ + "ㄌㄠ3" + ], + "蛰": [ + "ㄓㄜ2" + ], + "蛱": [ + "ㄐㄧㄚ2" + ], + "蛲": [ + "ㄋㄠ2" + ], + "蛳": [ + "ㄙ1" + ], + "蛴": [ + "ㄑㄧ2" + ], + "蛵": [ + "ㄒㄧㄥ1" + ], + "蛶": [ + "ㄐㄧㄝ4" + ], + "蛷": [ + "ㄑㄧㄡ2" + ], + "蛸": [ + "ㄕㄠ1", + "ㄒㄧㄠ1" + ], + "蛹": [ + "ㄩㄥ3" + ], + "蛺": [ + "ㄐㄧㄚ2" + ], + "蛻": [ + "ㄊㄨㄟ4" + ], + "蛼": [ + "ㄔㄜ1" + ], + "蛽": [ + "ㄅㄟ4" + ], + "蛾": [ + "ㄜ2", + "ㄧ3" + ], + "蛿": [ + "ㄏㄢ4" + ], + "蜀": [ + "ㄕㄨ3" + ], + "蜁": [ + "ㄒㄩㄢ2" + ], + "蜂": [ + "ㄈㄥ1" + ], + "蜃": [ + "ㄕㄣ4" + ], + "蜄": [ + "ㄕㄣ4", + "ㄓㄣ4" + ], + "蜅": [ + "ㄈㄨ3", + "ㄆㄨ2" + ], + "蜆": [ + "ㄒㄧㄢ4", + "ㄒㄧㄢ3" + ], + "蜇": [ + "ㄓㄜ1", + "ㄓㄜ2" + ], + "蜈": [ + "ㄨ2" + ], + "蜉": [ + "ㄈㄨ2" + ], + "蜊": [ + "ㄌㄧ2" + ], + "蜋": [ + "ㄌㄤ2", + "ㄌㄧㄤ2" + ], + "蜌": [ + "ㄅㄧ4" + ], + "蜍": [ + "ㄔㄨ2", + "ㄩ2" + ], + "蜎": [ + "ㄩㄢ1", + "ㄒㄩㄢ1" + ], + "蜏": [ + "ㄧㄡ3" + ], + "蜐": [ + "ㄐㄧㄝ2" + ], + "蜑": [ + "ㄉㄢ4" + ], + "蜒": [ + "ㄧㄢ2", + "ㄧㄢ4", + "ㄉㄢ4" + ], + "蜓": [ + "ㄊㄧㄥ2", + "ㄉㄧㄢ4" + ], + "蜔": [ + "ㄉㄧㄢ4" + ], + "蜕": [ + "ㄊㄨㄟ4", + "ㄩㄝ4" + ], + "蜖": [ + "ㄏㄨㄟ2" + ], + "蜗": [ + "ㄨㄛ1" + ], + "蜘": [ + "ㄓ1" + ], + "蜙": [ + "ㄙㄨㄥ1" + ], + "蜚": [ + "ㄈㄟ1", + "ㄈㄟ3", + "ㄆㄟ4", + "ㄅㄟ4" + ], + "蜛": [ + "ㄐㄩ1" + ], + "蜜": [ + "ㄇㄧ4" + ], + "蜝": [ + "ㄑㄧ2" + ], + "蜞": [ + "ㄑㄧ2" + ], + "蜟": [ + "ㄩ4" + ], + "蜠": [ + "ㄐㄩㄣ4" + ], + "蜡": [ + "ㄌㄚ4", + "ㄑㄩ4", + "ㄓㄚ4", + "ㄐㄧ2" + ], + "蜢": [ + "ㄇㄥ3", + "ㄇㄥ4" + ], + "蜣": [ + "ㄑㄧㄤ1" + ], + "蜤": [ + "ㄙ1", + "ㄒㄧ1" + ], + "蜥": [ + "ㄒㄧ1" + ], + "蜦": [ + "ㄌㄨㄣ2", + "ㄌㄨㄣ3" + ], + "蜧": [ + "ㄌㄧ4" + ], + "蜨": [ + "ㄉㄧㄝ2" + ], + "蜩": [ + "ㄊㄧㄠ2", + "ㄉㄧㄠ4" + ], + "蜪": [ + "ㄊㄠ2" + ], + "蜫": [ + "ㄎㄨㄣ1" + ], + "蜬": [ + "ㄏㄢ2" + ], + "蜭": [ + "ㄏㄢ4" + ], + "蜮": [ + "ㄩ4", + "ㄍㄨㄛ1" + ], + "蜯": [ + "ㄅㄤ4" + ], + "蜰": [ + "ㄈㄟ2", + "ㄈㄟ4" + ], + "蜱": [ + "ㄆㄧ2", + "ㄇㄧㄠ2" + ], + "蜲": [ + "ㄨㄟ1", + "ㄨㄟ3" + ], + "蜳": [ + "ㄉㄨㄣ1", + "ㄊㄨㄣ1" + ], + "蜴": [ + "ㄧ4", + "ㄒㄧ2" + ], + "蜵": [ + "ㄩㄢ1", + "ㄩㄣ1" + ], + "蜶": [ + "ㄙㄨㄛ4" + ], + "蜷": [ + "ㄑㄩㄢ2", + "ㄐㄩㄢ3" + ], + "蜸": [ + "ㄑㄧㄢ3" + ], + "蜹": [ + "ㄖㄨㄟ4", + "ㄨㄟ4" + ], + "蜺": [ + "ㄋㄧ2" + ], + "蜻": [ + "ㄑㄧㄥ1", + "ㄐㄧㄥ1" + ], + "蜼": [ + "ㄨㄟ4", + "ㄨㄟ3", + "ㄊㄨㄥ2" + ], + "蜽": [ + "ㄌㄧㄤ3" + ], + "蜾": [ + "ㄍㄨㄛ3", + "ㄌㄨㄛ3" + ], + "蜿": [ + "ㄨㄢ1", + "ㄨㄢ3" + ], + "蝀": [ + "ㄉㄨㄥ1" + ], + "蝁": [ + "ㄜ4" + ], + "蝂": [ + "ㄅㄢ3" + ], + "蝃": [ + "ㄉㄧ4", + "ㄓㄨㄛ1" + ], + "蝄": [ + "ㄨㄤ3" + ], + "蝅": [ + "ㄘㄢ2" + ], + "蝆": [ + "ㄧㄤ3" + ], + "蝇": [ + "ㄧㄥ2" + ], + "蝈": [ + "ㄍㄨㄛ1" + ], + "蝉": [ + "ㄔㄢ2" + ], + "蝊": [ + "ㄉㄧㄥ4" + ], + "蝋": [ + "ㄌㄚ4" + ], + "蝌": [ + "ㄎㄜ1" + ], + "蝍": [ + "ㄐㄧㄝ2", + "ㄐㄧ2" + ], + "蝎": [ + "ㄒㄧㄝ1", + "ㄏㄜ2" + ], + "蝏": [ + "ㄊㄧㄥ2" + ], + "蝐": [ + "ㄇㄠ4" + ], + "蝑": [ + "ㄒㄩ1", + "ㄒㄧㄝ4" + ], + "蝒": [ + "ㄇㄧㄢ2" + ], + "蝓": [ + "ㄩ2" + ], + "蝔": [ + "ㄐㄧㄝ1" + ], + "蝕": [ + "ㄕ2", + "ㄌㄧ4", + "ㄌㄨㄥ2" + ], + "蝖": [ + "ㄒㄩㄢ1" + ], + "蝗": [ + "ㄏㄨㄤ2" + ], + "蝘": [ + "ㄧㄢ3" + ], + "蝙": [ + "ㄅㄧㄢ1", + "ㄆㄧㄢ2" + ], + "蝚": [ + "ㄖㄡ2", + "ㄋㄠ2" + ], + "蝛": [ + "ㄨㄟ1" + ], + "蝜": [ + "ㄈㄨ4" + ], + "蝝": [ + "ㄩㄢ2", + "ㄩㄢ1" + ], + "蝞": [ + "ㄇㄟ4" + ], + "蝟": [ + "ㄨㄟ4" + ], + "蝠": [ + "ㄈㄨ2" + ], + "蝡": [ + "ㄖㄨ2", + "ㄖㄨㄢ3" + ], + "蝢": [ + "ㄒㄧㄝ2" + ], + "蝣": [ + "ㄧㄡ2" + ], + "蝤": [ + "ㄑㄧㄡ2", + "ㄧㄡ2", + "ㄐㄧㄡ1" + ], + "蝥": [ + "ㄇㄠ2", + "ㄨ2", + "ㄨ4" + ], + "蝦": [ + "ㄒㄧㄚ1", + "ㄏㄚ2", + "ㄐㄧㄚ3" + ], + "蝧": [ + "ㄧㄥ1" + ], + "蝨": [ + "ㄕ1" + ], + "蝩": [ + "ㄔㄨㄥ2", + "ㄓㄨㄥ1" + ], + "蝪": [ + "ㄊㄤ1" + ], + "蝫": [ + "ㄓㄨ1" + ], + "蝬": [ + "ㄗㄨㄥ1" + ], + "蝭": [ + "ㄊㄧ2", + "ㄔ2" + ], + "蝮": [ + "ㄈㄨ4" + ], + "蝯": [ + "ㄩㄢ2" + ], + "蝰": [ + "ㄎㄨㄟ2" + ], + "蝱": [ + "ㄇㄥ2" + ], + "蝲": [ + "ㄌㄚ4" + ], + "蝳": [ + "ㄉㄨ2", + "ㄉㄞ4" + ], + "蝴": [ + "ㄏㄨ2" + ], + "蝵": [ + "ㄑㄧㄡ1" + ], + "蝶": [ + "ㄉㄧㄝ2", + "ㄊㄧㄝ1" + ], + "蝷": [ + "ㄌㄧ4", + "ㄒㄧ2" + ], + "蝸": [ + "ㄨㄛ1", + "ㄌㄨㄛ2", + "ㄍㄨㄛ3" + ], + "蝹": [ + "ㄩㄣ1", + "ㄠ3" + ], + "蝺": [ + "ㄑㄩ3", + "ㄩ3" + ], + "蝻": [ + "ㄋㄢ3" + ], + "蝼": [ + "ㄌㄡ2" + ], + "蝽": [ + "ㄔㄨㄣ1" + ], + "蝾": [ + "ㄖㄨㄥ2" + ], + "蝿": [ + "ㄧㄥ2" + ], + "螀": [ + "ㄐㄧㄤ1" + ], + "螁": [ + "ㄅㄢ5" + ], + "螂": [ + "ㄌㄤ2" + ], + "螃": [ + "ㄆㄤ2", + "ㄅㄤ3" + ], + "螄": [ + "ㄙ1" + ], + "螅": [ + "ㄒㄧ1", + "ㄘ4" + ], + "螆": [ + "ㄘ4" + ], + "螇": [ + "ㄒㄧ1", + "ㄑㄧ1" + ], + "螈": [ + "ㄩㄢ2" + ], + "螉": [ + "ㄨㄥ1" + ], + "螊": [ + "ㄌㄧㄢ2" + ], + "螋": [ + "ㄙㄡ1" + ], + "螌": [ + "ㄅㄢ1", + "ㄆㄢ2", + "ㄏㄨㄢ4" + ], + "融": [ + "ㄖㄨㄥ2" + ], + "螎": [ + "ㄖㄨㄥ2" + ], + "螏": [ + "ㄐㄧ2" + ], + "螐": [ + "ㄨ1" + ], + "螑": [ + "ㄒㄧㄡ4" + ], + "螒": [ + "ㄏㄢ4" + ], + "螓": [ + "ㄑㄧㄣ2" + ], + "螔": [ + "ㄧ2", + "ㄙ1" + ], + "螕": [ + "ㄅㄧ1", + "ㄆㄧ1" + ], + "螖": [ + "ㄏㄨㄚ2" + ], + "螗": [ + "ㄊㄤ2" + ], + "螘": [ + "ㄧ3" + ], + "螙": [ + "ㄉㄨ4" + ], + "螚": [ + "ㄋㄞ4", + "ㄋㄞ2", + "ㄋㄥ3" + ], + "螛": [ + "ㄏㄜ2", + "ㄒㄧㄚ2" + ], + "螜": [ + "ㄏㄨ2" + ], + "螝": [ + "ㄍㄨㄟ1", + "ㄏㄨㄟ3" + ], + "螞": [ + "ㄇㄚ3", + "ㄇㄚ1", + "ㄇㄚ4" + ], + "螟": [ + "ㄇㄧㄥ2" + ], + "螠": [ + "ㄧ4" + ], + "螡": [ + "ㄨㄣ2" + ], + "螢": [ + "ㄧㄥ2" + ], + "螣": [ + "ㄊㄜ4", + "ㄊㄥ2" + ], + "螤": [ + "ㄓㄨㄥ1" + ], + "螥": [ + "ㄘㄤ1" + ], + "螦": [ + "ㄙㄠ1" + ], + "螧": [ + "ㄑㄧ2" + ], + "螨": [ + "ㄇㄢ3" + ], + "螩": [ + "ㄊㄧㄠ5" + ], + "螪": [ + "ㄕㄤ1" + ], + "螫": [ + "ㄕ4", + "ㄓㄜ1" + ], + "螬": [ + "ㄘㄠ2" + ], + "螭": [ + "ㄔ1" + ], + "螮": [ + "ㄉㄧ4", + "ㄉㄞ4" + ], + "螯": [ + "ㄠ2" + ], + "螰": [ + "ㄌㄨ4" + ], + "螱": [ + "ㄨㄟ4" + ], + "螲": [ + "ㄓ4", + "ㄉㄧㄝ2" + ], + "螳": [ + "ㄊㄤ2" + ], + "螴": [ + "ㄔㄣ2" + ], + "螵": [ + "ㄆㄧㄠ1" + ], + "螶": [ + "ㄑㄩ2", + "ㄐㄩ4" + ], + "螷": [ + "ㄆㄧ2" + ], + "螸": [ + "ㄩ2" + ], + "螹": [ + "ㄐㄧㄢ4", + "ㄔㄢ2" + ], + "螺": [ + "ㄌㄨㄛ2" + ], + "螻": [ + "ㄌㄡ2" + ], + "螼": [ + "ㄑㄧㄣ3" + ], + "螽": [ + "ㄓㄨㄥ1" + ], + "螾": [ + "ㄧㄣ3", + "ㄧㄣ2" + ], + "螿": [ + "ㄐㄧㄤ1" + ], + "蟀": [ + "ㄕㄨㄞ4" + ], + "蟁": [ + "ㄨㄣ2" + ], + "蟂": [ + "ㄒㄧㄠ1" + ], + "蟃": [ + "ㄨㄢ4" + ], + "蟄": [ + "ㄓㄜ2" + ], + "蟅": [ + "ㄓㄜ4" + ], + "蟆": [ + "ㄇㄚ2", + "ㄇㄛ4" + ], + "蟇": [ + "ㄇㄚ2" + ], + "蟈": [ + "ㄍㄨㄛ1", + "ㄩ4" + ], + "蟉": [ + "ㄌㄧㄡ2", + "ㄌㄧㄠ4" + ], + "蟊": [ + "ㄇㄠ2", + "ㄇㄥ2" + ], + "蟋": [ + "ㄒㄧ1" + ], + "蟌": [ + "ㄘㄨㄥ1" + ], + "蟍": [ + "ㄌㄧ2" + ], + "蟎": [ + "ㄇㄢ3" + ], + "蟏": [ + "ㄒㄧㄠ1" + ], + "蟐": [ + "ㄔㄤ5" + ], + "蟑": [ + "ㄓㄤ1" + ], + "蟒": [ + "ㄇㄤ3", + "ㄇㄥ3" + ], + "蟓": [ + "ㄒㄧㄤ4" + ], + "蟔": [ + "ㄇㄛ4" + ], + "蟕": [ + "ㄗㄨㄟ1" + ], + "蟖": [ + "ㄙ1" + ], + "蟗": [ + "ㄑㄧㄡ1" + ], + "蟘": [ + "ㄊㄜ4" + ], + "蟙": [ + "ㄓ2" + ], + "蟚": [ + "ㄆㄥ2" + ], + "蟛": [ + "ㄆㄥ2" + ], + "蟜": [ + "ㄐㄧㄠ3", + "ㄑㄧㄠ2" + ], + "蟝": [ + "ㄑㄩ2" + ], + "蟞": [ + "ㄅㄧㄝ1", + "ㄅㄧㄝ2" + ], + "蟟": [ + "ㄌㄧㄠ2" + ], + "蟠": [ + "ㄆㄢ2", + "ㄈㄢ2" + ], + "蟡": [ + "ㄍㄨㄟ3" + ], + "蟢": [ + "ㄒㄧ3" + ], + "蟣": [ + "ㄐㄧ3", + "ㄑㄧ2" + ], + "蟤": [ + "ㄓㄨㄢ1" + ], + "蟥": [ + "ㄏㄨㄤ2" + ], + "蟦": [ + "ㄈㄟ2", + "ㄅㄣ1" + ], + "蟧": [ + "ㄌㄠ2", + "ㄌㄧㄠ2" + ], + "蟨": [ + "ㄐㄩㄝ2" + ], + "蟩": [ + "ㄐㄩㄝ2" + ], + "蟪": [ + "ㄏㄨㄟ4" + ], + "蟫": [ + "ㄧㄣ2", + "ㄒㄩㄣ2" + ], + "蟬": [ + "ㄔㄢ2", + "ㄊㄧ2", + "ㄕㄢ4" + ], + "蟭": [ + "ㄐㄧㄠ1" + ], + "蟮": [ + "ㄕㄢ4" + ], + "蟯": [ + "ㄋㄠ2", + "ㄖㄠ4" + ], + "蟰": [ + "ㄒㄧㄠ1" + ], + "蟱": [ + "ㄨ2", + "ㄇㄡ2" + ], + "蟲": [ + "ㄔㄨㄥ2", + "ㄓㄨㄥ4", + "ㄊㄨㄥ2" + ], + "蟳": [ + "ㄒㄩㄣ2" + ], + "蟴": [ + "ㄙ1" + ], + "蟵": [ + "ㄔㄨ2" + ], + "蟶": [ + "ㄔㄥ1" + ], + "蟷": [ + "ㄉㄤ1" + ], + "蟸": [ + "ㄌㄧ3" + ], + "蟹": [ + "ㄒㄧㄝ4" + ], + "蟺": [ + "ㄕㄢ4", + "ㄉㄢ4", + "ㄔㄢ2", + "ㄊㄨㄛ2" + ], + "蟻": [ + "ㄧ3", + "ㄐㄧ3" + ], + "蟼": [ + "ㄐㄧㄥ3" + ], + "蟽": [ + "ㄉㄚ2" + ], + "蟾": [ + "ㄔㄢ2" + ], + "蟿": [ + "ㄑㄧ4", + "ㄐㄧ4" + ], + "蠀": [ + "ㄘ1", + "ㄐㄧ2" + ], + "蠁": [ + "ㄒㄧㄤ3" + ], + "蠂": [ + "ㄕㄜ4" + ], + "蠃": [ + "ㄌㄨㄛ3", + "ㄌㄨㄛ2", + "ㄍㄨㄛ3" + ], + "蠄": [ + "ㄑㄧㄣ2" + ], + "蠅": [ + "ㄧㄥ2" + ], + "蠆": [ + "ㄔㄞ4" + ], + "蠇": [ + "ㄌㄧ4" + ], + "蠈": [ + "ㄗㄟ2" + ], + "蠉": [ + "ㄒㄩㄢ1" + ], + "蠊": [ + "ㄌㄧㄢ2" + ], + "蠋": [ + "ㄓㄨ2" + ], + "蠌": [ + "ㄗㄜ2" + ], + "蠍": [ + "ㄒㄧㄝ1" + ], + "蠎": [ + "ㄇㄤ3" + ], + "蠏": [ + "ㄒㄧㄝ4" + ], + "蠐": [ + "ㄑㄧ2" + ], + "蠑": [ + "ㄖㄨㄥ2" + ], + "蠒": [ + "ㄐㄧㄢ3" + ], + "蠓": [ + "ㄇㄥ3" + ], + "蠔": [ + "ㄏㄠ2" + ], + "蠕": [ + "ㄖㄨ2" + ], + "蠖": [ + "ㄏㄨㄛ4", + "ㄩㄝ4" + ], + "蠗": [ + "ㄓㄨㄛ2" + ], + "蠘": [ + "ㄐㄧㄝ2" + ], + "蠙": [ + "ㄆㄧㄣ2" + ], + "蠚": [ + "ㄏㄜ1" + ], + "蠛": [ + "ㄇㄧㄝ4" + ], + "蠜": [ + "ㄈㄢ2" + ], + "蠝": [ + "ㄌㄟ3" + ], + "蠞": [ + "ㄐㄧㄝ2" + ], + "蠟": [ + "ㄌㄚ4" + ], + "蠠": [ + "ㄇㄧㄣ3", + "ㄇㄧㄢ2" + ], + "蠡": [ + "ㄌㄧ2", + "ㄌㄧ3", + "ㄌㄨㄛ3", + "ㄌㄨㄛ2", + "ㄌㄧ4" + ], + "蠢": [ + "ㄔㄨㄣ3" + ], + "蠣": [ + "ㄌㄧ4" + ], + "蠤": [ + "ㄑㄧㄡ1" + ], + "蠥": [ + "ㄋㄧㄝ4" + ], + "蠦": [ + "ㄌㄨ2" + ], + "蠧": [ + "ㄉㄨ4" + ], + "蠨": [ + "ㄒㄧㄠ1" + ], + "蠩": [ + "ㄓㄨ1", + "ㄔㄨ2" + ], + "蠪": [ + "ㄌㄨㄥ2" + ], + "蠫": [ + "ㄌㄧ2" + ], + "蠬": [ + "ㄌㄨㄥ2" + ], + "蠭": [ + "ㄈㄥ1", + "ㄆㄤ2" + ], + "蠮": [ + "ㄧㄝ1" + ], + "蠯": [ + "ㄆㄧ2" + ], + "蠰": [ + "ㄋㄤ2", + "ㄕㄤ4", + "ㄖㄤ3" + ], + "蠱": [ + "ㄍㄨ3", + "ㄧㄝ3" + ], + "蠲": [ + "ㄐㄩㄢ1" + ], + "蠳": [ + "ㄧㄥ1" + ], + "蠴": [ + "ㄕㄨ3" + ], + "蠵": [ + "ㄒㄧ1" + ], + "蠶": [ + "ㄘㄢ2" + ], + "蠷": [ + "ㄑㄩ2" + ], + "蠸": [ + "ㄑㄩㄢ2", + "ㄏㄨㄢ4" + ], + "蠹": [ + "ㄉㄨ4" + ], + "蠺": [ + "ㄘㄢ2" + ], + "蠻": [ + "ㄇㄢ2" + ], + "蠼": [ + "ㄑㄩ2", + "ㄐㄩㄝ2" + ], + "蠽": [ + "ㄐㄧㄝ2" + ], + "蠾": [ + "ㄓㄨ2", + "ㄕㄨ2" + ], + "蠿": [ + "ㄓㄨㄛ1" + ], + "血": [ + "ㄒㄩㄝ4", + "ㄒㄧㄝ3" + ], + "衁": [ + "ㄏㄨㄤ1" + ], + "衂": [ + "ㄋㄩ4" + ], + "衃": [ + "ㄆㄟ1", + "ㄈㄡ3" + ], + "衄": [ + "ㄋㄩ4" + ], + "衅": [ + "ㄒㄧㄣ4" + ], + "衆": [ + "ㄓㄨㄥ4", + "ㄓㄨㄥ1" + ], + "衇": [ + "ㄇㄞ4" + ], + "衈": [ + "ㄦ4" + ], + "衉": [ + "ㄎㄚ1" + ], + "衊": [ + "ㄇㄧㄝ4" + ], + "衋": [ + "ㄒㄧ4" + ], + "行": [ + "ㄒㄧㄥ2", + "ㄏㄤ2", + "ㄏㄥ2", + "ㄒㄧㄥ4", + "ㄏㄤ4" + ], + "衍": [ + "ㄧㄢ3", + "ㄧㄢ2" + ], + "衎": [ + "ㄎㄢ4", + "ㄎㄢ3" + ], + "衏": [ + "ㄩㄢ4" + ], + "衐": [ + "ㄑㄩ2" + ], + "衑": [ + "ㄌㄧㄥ2" + ], + "衒": [ + "ㄒㄩㄢ4" + ], + "術": [ + "ㄕㄨ4" + ], + "衔": [ + "ㄒㄧㄢ2" + ], + "衕": [ + "ㄊㄨㄥ4", + "ㄊㄨㄥ2", + "ㄉㄨㄥ4" + ], + "衖": [ + "ㄒㄧㄤ4", + "ㄌㄨㄥ4" + ], + "街": [ + "ㄐㄧㄝ1" + ], + "衘": [ + "ㄒㄧㄢ2", + "ㄩ4" + ], + "衙": [ + "ㄧㄚ2", + "ㄩ2", + "ㄩ4" + ], + "衚": [ + "ㄏㄨ2" + ], + "衛": [ + "ㄨㄟ4" + ], + "衜": [ + "ㄉㄠ4" + ], + "衝": [ + "ㄔㄨㄥ1", + "ㄔㄨㄥ3", + "ㄔㄨㄥ4" + ], + "衞": [ + "ㄨㄟ4" + ], + "衟": [ + "ㄉㄠ4" + ], + "衠": [ + "ㄓㄨㄣ1" + ], + "衡": [ + "ㄏㄥ2" + ], + "衢": [ + "ㄑㄩ2" + ], + "衣": [ + "ㄧ1", + "ㄧ4" + ], + "衤": [ + "ㄧ1" + ], + "补": [ + "ㄅㄨ3" + ], + "衦": [ + "ㄍㄢ3" + ], + "衧": [ + "ㄩ2" + ], + "表": [ + "ㄅㄧㄠ3" + ], + "衩": [ + "ㄔㄚ3", + "ㄔㄚ4" + ], + "衪": [ + "ㄧ2" + ], + "衫": [ + "ㄕㄢ1" + ], + "衬": [ + "ㄔㄣ4" + ], + "衭": [ + "ㄈㄨ1" + ], + "衮": [ + "ㄍㄨㄣ3" + ], + "衯": [ + "ㄈㄣ1", + "ㄆㄣ2" + ], + "衰": [ + "ㄕㄨㄞ1", + "ㄙㄨㄛ1", + "ㄘㄨㄟ1" + ], + "衱": [ + "ㄐㄧㄝ2" + ], + "衲": [ + "ㄋㄚ4" + ], + "衳": [ + "ㄓㄨㄥ1" + ], + "衴": [ + "ㄉㄢ3" + ], + "衵": [ + "ㄧ4" + ], + "衶": [ + "ㄓㄨㄥ4" + ], + "衷": [ + "ㄓㄨㄥ1", + "ㄓㄨㄥ4" + ], + "衸": [ + "ㄐㄧㄝ4" + ], + "衹": [ + "ㄓ3", + "ㄊㄧ3", + "ㄓ1", + "ㄑㄧ2" + ], + "衺": [ + "ㄒㄧㄝ2" + ], + "衻": [ + "ㄖㄢ2" + ], + "衼": [ + "ㄓ1" + ], + "衽": [ + "ㄖㄣ4" + ], + "衾": [ + "ㄑㄧㄣ1" + ], + "衿": [ + "ㄐㄧㄣ1", + "ㄑㄧㄣ4" + ], + "袀": [ + "ㄐㄩㄣ1" + ], + "袁": [ + "ㄩㄢ2" + ], + "袂": [ + "ㄇㄟ4", + "ㄧ4" + ], + "袃": [ + "ㄔㄞ4" + ], + "袄": [ + "ㄠ3" + ], + "袅": [ + "ㄋㄧㄠ3" + ], + "袆": [ + "ㄏㄨㄟ1" + ], + "袇": [ + "ㄖㄢ2" + ], + "袈": [ + "ㄐㄧㄚ1" + ], + "袉": [ + "ㄊㄨㄛ2", + "ㄊㄨㄛ3" + ], + "袊": [ + "ㄌㄧㄥ3", + "ㄌㄧㄥ2" + ], + "袋": [ + "ㄉㄞ4" + ], + "袌": [ + "ㄅㄠ4", + "ㄆㄠ2", + "ㄆㄠ4" + ], + "袍": [ + "ㄆㄠ2", + "ㄅㄠ4" + ], + "袎": [ + "ㄧㄠ4" + ], + "袏": [ + "ㄗㄨㄛ4" + ], + "袐": [ + "ㄅㄧ4" + ], + "袑": [ + "ㄕㄠ4" + ], + "袒": [ + "ㄊㄢ3", + "ㄓㄢ4" + ], + "袓": [ + "ㄐㄩ4", + "ㄐㄧㄝ3" + ], + "袔": [ + "ㄏㄜ4", + "ㄎㄜ4", + "ㄎㄨㄚ3" + ], + "袕": [ + "ㄒㄩㄝ2" + ], + "袖": [ + "ㄒㄧㄡ4" + ], + "袗": [ + "ㄓㄣ3" + ], + "袘": [ + "ㄧ2", + "ㄧ4", + "ㄊㄨㄛ2" + ], + "袙": [ + "ㄆㄚ4" + ], + "袚": [ + "ㄅㄛ1", + "ㄈㄨ2" + ], + "袛": [ + "ㄉㄧ1" + ], + "袜": [ + "ㄨㄚ4", + "ㄇㄛ4" + ], + "袝": [ + "ㄈㄨ4" + ], + "袞": [ + "ㄍㄨㄣ3" + ], + "袟": [ + "ㄓ4" + ], + "袠": [ + "ㄓ4" + ], + "袡": [ + "ㄖㄢ2" + ], + "袢": [ + "ㄆㄢ4", + "ㄈㄢ2" + ], + "袣": [ + "ㄧ4" + ], + "袤": [ + "ㄇㄠ4", + "ㄇㄡ2" + ], + "袥": [ + "ㄊㄨㄛ1" + ], + "袦": [ + "ㄋㄚ4", + "ㄐㄩㄝ2" + ], + "袧": [ + "ㄍㄡ1", + "ㄍㄡ4" + ], + "袨": [ + "ㄒㄩㄢ4" + ], + "袩": [ + "ㄓㄜ2", + "ㄔㄢ1" + ], + "袪": [ + "ㄑㄩ1" + ], + "被": [ + "ㄅㄟ4", + "ㄅㄧ4", + "ㄆㄧ1", + "ㄆㄧ4" + ], + "袬": [ + "ㄩ4" + ], + "袭": [ + "ㄒㄧ2" + ], + "袮": [ + "ㄇㄧ2" + ], + "袯": [ + "ㄅㄛ2" + ], + "袰": [ + "ㄅㄛ1" + ], + "袱": [ + "ㄈㄨ2" + ], + "袲": [ + "ㄔ3", + "ㄋㄨㄛ3" + ], + "袳": [ + "ㄔ3", + "ㄑㄧ3", + "ㄉㄨㄛ3", + "ㄋㄨㄛ3" + ], + "袴": [ + "ㄎㄨ4" + ], + "袵": [ + "ㄖㄣ4" + ], + "袶": [ + "ㄐㄧㄤ4" + ], + "袷": [ + "ㄐㄧㄚ2", + "ㄑㄧㄚ1", + "ㄐㄧㄚ1", + "ㄐㄧㄝ2" + ], + "袸": [ + "ㄐㄧㄢ4", + "ㄗㄨㄣ4" + ], + "袹": [ + "ㄅㄛ2", + "ㄇㄛ4" + ], + "袺": [ + "ㄐㄧㄝ2" + ], + "袻": [ + "ㄦ2" + ], + "袼": [ + "ㄍㄜ1", + "ㄌㄨㄛ4" + ], + "袽": [ + "ㄖㄨ2" + ], + "袾": [ + "ㄓㄨ1" + ], + "袿": [ + "ㄍㄨㄟ1", + "ㄍㄨㄚ4" + ], + "裀": [ + "ㄧㄣ1" + ], + "裁": [ + "ㄘㄞ2" + ], + "裂": [ + "ㄌㄧㄝ4", + "ㄌㄧㄝ3" + ], + "裃": [ + "ㄎㄚ3" + ], + "裄": [ + "ㄒㄧㄥ5" + ], + "装": [ + "ㄓㄨㄤ1" + ], + "裆": [ + "ㄉㄤ1" + ], + "裇": [ + "ㄒㄩ1" + ], + "裈": [ + "ㄎㄨㄣ1" + ], + "裉": [ + "ㄎㄣ4" + ], + "裊": [ + "ㄋㄧㄠ3" + ], + "裋": [ + "ㄕㄨ4" + ], + "裌": [ + "ㄐㄧㄚ2", + "ㄐㄧㄚ1", + "ㄒㄧㄝ2" + ], + "裍": [ + "ㄎㄨㄣ3" + ], + "裎": [ + "ㄔㄥ2", + "ㄔㄥ3" + ], + "裏": [ + "ㄌㄧ3" + ], + "裐": [ + "ㄐㄩㄢ1" + ], + "裑": [ + "ㄕㄣ1" + ], + "裒": [ + "ㄆㄡ2", + "ㄅㄠ1" + ], + "裓": [ + "ㄍㄜ2", + "ㄐㄧㄝ1" + ], + "裔": [ + "ㄧ4" + ], + "裕": [ + "ㄩ4" + ], + "裖": [ + "ㄓㄣ3" + ], + "裗": [ + "ㄌㄧㄡ2" + ], + "裘": [ + "ㄑㄧㄡ2" + ], + "裙": [ + "ㄑㄩㄣ2" + ], + "裚": [ + "ㄐㄧ4" + ], + "裛": [ + "ㄧ4" + ], + "補": [ + "ㄅㄨ3" + ], + "裝": [ + "ㄓㄨㄤ1" + ], + "裞": [ + "ㄕㄨㄟ4" + ], + "裟": [ + "ㄕㄚ1" + ], + "裠": [ + "ㄑㄩㄣ2" + ], + "裡": [ + "ㄌㄧ3" + ], + "裢": [ + "ㄌㄧㄢ2", + "ㄕㄠ1" + ], + "裣": [ + "ㄌㄧㄢ3" + ], + "裤": [ + "ㄎㄨ4" + ], + "裥": [ + "ㄐㄧㄢ3" + ], + "裦": [ + "ㄈㄡ2" + ], + "裧": [ + "ㄔㄢ1", + "ㄔㄢ4", + "ㄊㄢ3" + ], + "裨": [ + "ㄅㄧ4", + "ㄆㄧ2" + ], + "裩": [ + "ㄎㄨㄣ1" + ], + "裪": [ + "ㄊㄠ2" + ], + "裫": [ + "ㄩㄢ4" + ], + "裬": [ + "ㄌㄧㄥ2" + ], + "裭": [ + "ㄔ3" + ], + "裮": [ + "ㄔㄤ1" + ], + "裯": [ + "ㄔㄡ2", + "ㄉㄠ1" + ], + "裰": [ + "ㄉㄨㄛ1" + ], + "裱": [ + "ㄅㄧㄠ3" + ], + "裲": [ + "ㄌㄧㄤ3" + ], + "裳": [ + "ㄕㄤ5", + "ㄔㄤ2" + ], + "裴": [ + "ㄆㄟ2", + "ㄈㄟ2" + ], + "裵": [ + "ㄆㄟ2" + ], + "裶": [ + "ㄈㄟ1" + ], + "裷": [ + "ㄩㄢ1", + "ㄍㄨㄣ3" + ], + "裸": [ + "ㄌㄨㄛ3" + ], + "裹": [ + "ㄍㄨㄛ3" + ], + "裺": [ + "ㄧㄢ3", + "ㄢ1", + "ㄧㄢ4" + ], + "裻": [ + "ㄉㄨ2" + ], + "裼": [ + "ㄊㄧ4", + "ㄒㄧ1" + ], + "製": [ + "ㄓ4" + ], + "裾": [ + "ㄐㄩ1", + "ㄐㄩ4" + ], + "裿": [ + "ㄧ3", + "ㄑㄧ3" + ], + "褀": [ + "ㄑㄧ2" + ], + "褁": [ + "ㄍㄨㄛ3" + ], + "褂": [ + "ㄍㄨㄚ4" + ], + "褃": [ + "ㄎㄣ4" + ], + "褄": [ + "ㄑㄧ1" + ], + "褅": [ + "ㄊㄧ4" + ], + "褆": [ + "ㄊㄧ2", + "ㄕ4" + ], + "複": [ + "ㄈㄨ4", + "ㄈㄨ2" + ], + "褈": [ + "ㄔㄨㄥ2", + "ㄔㄨㄥ1", + "ㄓㄨㄥ4" + ], + "褉": [ + "ㄒㄧㄝ4" + ], + "褊": [ + "ㄅㄧㄢ3", + "ㄆㄧㄢ2" + ], + "褋": [ + "ㄉㄧㄝ2" + ], + "褌": [ + "ㄎㄨㄣ1" + ], + "褍": [ + "ㄉㄨㄢ1", + "ㄊㄨㄢ1" + ], + "褎": [ + "ㄒㄧㄡ4", + "ㄧㄡ4" + ], + "褏": [ + "ㄒㄧㄡ4" + ], + "褐": [ + "ㄏㄜ4" + ], + "褑": [ + "ㄩㄢ4", + "ㄩㄢ2" + ], + "褒": [ + "ㄅㄠ1" + ], + "褓": [ + "ㄅㄠ3" + ], + "褔": [ + "ㄈㄨ4" + ], + "褕": [ + "ㄩ2", + "ㄊㄡ2" + ], + "褖": [ + "ㄊㄨㄢ4" + ], + "褗": [ + "ㄧㄢ3" + ], + "褘": [ + "ㄏㄨㄟ1", + "ㄧ1" + ], + "褙": [ + "ㄅㄟ4" + ], + "褚": [ + "ㄔㄨ3", + "ㄓㄜ3", + "ㄓㄨ3" + ], + "褛": [ + "ㄌㄩ3" + ], + "褜": [ + "ㄆㄠ2" + ], + "褝": [ + "ㄉㄢ1" + ], + "褞": [ + "ㄩㄣ3", + "ㄨㄣ1" + ], + "褟": [ + "ㄊㄚ1" + ], + "褠": [ + "ㄍㄡ1" + ], + "褡": [ + "ㄉㄚ1" + ], + "褢": [ + "ㄏㄨㄞ2" + ], + "褣": [ + "ㄖㄨㄥ2" + ], + "褤": [ + "ㄩㄢ4" + ], + "褥": [ + "ㄖㄨ4", + "ㄋㄨ4" + ], + "褦": [ + "ㄋㄞ4" + ], + "褧": [ + "ㄐㄩㄥ3" + ], + "褨": [ + "ㄙㄨㄛ3", + "ㄔㄚ2" + ], + "褩": [ + "ㄅㄢ1", + "ㄆㄢ2" + ], + "褪": [ + "ㄊㄨㄟ4", + "ㄊㄨㄣ4" + ], + "褫": [ + "ㄔ3" + ], + "褬": [ + "ㄙㄤ3" + ], + "褭": [ + "ㄋㄧㄠ3" + ], + "褮": [ + "ㄧㄥ1", + "ㄧㄥ4" + ], + "褯": [ + "ㄐㄧㄝ4" + ], + "褰": [ + "ㄑㄧㄢ1" + ], + "褱": [ + "ㄏㄨㄞ2" + ], + "褲": [ + "ㄎㄨ4" + ], + "褳": [ + "ㄌㄧㄢ2" + ], + "褴": [ + "ㄌㄢ2" + ], + "褵": [ + "ㄌㄧ2" + ], + "褶": [ + "ㄓㄜ3", + "ㄉㄧㄝ2", + "ㄒㄧ2" + ], + "褷": [ + "ㄕ1" + ], + "褸": [ + "ㄌㄩ3" + ], + "褹": [ + "ㄧ4", + "ㄋㄧㄝ4" + ], + "褺": [ + "ㄉㄧㄝ1" + ], + "褻": [ + "ㄒㄧㄝ4" + ], + "褼": [ + "ㄒㄧㄢ1" + ], + "褽": [ + "ㄨㄟ4" + ], + "褾": [ + "ㄅㄧㄠ3" + ], + "褿": [ + "ㄘㄠ2" + ], + "襀": [ + "ㄐㄧ1", + "ㄐㄧ4" + ], + "襁": [ + "ㄑㄧㄤ3" + ], + "襂": [ + "ㄙㄣ1", + "ㄕㄢ1" + ], + "襃": [ + "ㄅㄠ1", + "ㄆㄡ2" + ], + "襄": [ + "ㄒㄧㄤ1" + ], + "襅": [ + "ㄅㄧ4" + ], + "襆": [ + "ㄈㄨ2", + "ㄆㄨ2" + ], + "襇": [ + "ㄐㄧㄢ3" + ], + "襈": [ + "ㄓㄨㄢ4", + "ㄐㄩㄢ4" + ], + "襉": [ + "ㄐㄧㄢ3" + ], + "襊": [ + "ㄘㄨㄟ4", + "ㄘㄨㄛ1" + ], + "襋": [ + "ㄐㄧ2" + ], + "襌": [ + "ㄉㄢ1" + ], + "襍": [ + "ㄗㄚ2" + ], + "襎": [ + "ㄈㄢ2", + "ㄅㄛ4" + ], + "襏": [ + "ㄅㄛ2", + "ㄈㄟ4" + ], + "襐": [ + "ㄒㄧㄤ4" + ], + "襑": [ + "ㄒㄧㄣ2" + ], + "襒": [ + "ㄅㄧㄝ2" + ], + "襓": [ + "ㄖㄠ2" + ], + "襔": [ + "ㄇㄢ3" + ], + "襕": [ + "ㄌㄢ2" + ], + "襖": [ + "ㄠ3" + ], + "襗": [ + "ㄗㄜ2", + "ㄉㄨㄛ2", + "ㄧ4" + ], + "襘": [ + "ㄍㄨㄟ4", + "ㄏㄨㄟ4" + ], + "襙": [ + "ㄘㄠ4" + ], + "襚": [ + "ㄙㄨㄟ4" + ], + "襛": [ + "ㄋㄨㄥ2" + ], + "襜": [ + "ㄔㄢ1", + "ㄔㄢ4", + "ㄉㄢ1" + ], + "襝": [ + "ㄌㄧㄢ3", + "ㄔㄢ1" + ], + "襞": [ + "ㄅㄧ4" + ], + "襟": [ + "ㄐㄧㄣ1" + ], + "襠": [ + "ㄉㄤ1" + ], + "襡": [ + "ㄕㄨ3", + "ㄉㄨ2" + ], + "襢": [ + "ㄊㄢ3", + "ㄓㄢ4", + "ㄔㄢ2", + "ㄓㄢ1" + ], + "襣": [ + "ㄅㄧ4" + ], + "襤": [ + "ㄌㄢ2" + ], + "襥": [ + "ㄈㄨ2" + ], + "襦": [ + "ㄖㄨ2" + ], + "襧": [ + "ㄓ3" + ], + "襨": [ + "ㄉㄨㄟ4" + ], + "襩": [ + "ㄕㄨ3" + ], + "襪": [ + "ㄨㄚ4" + ], + "襫": [ + "ㄕ4" + ], + "襬": [ + "ㄅㄞ3", + "ㄅㄟ1" + ], + "襭": [ + "ㄒㄧㄝ2" + ], + "襮": [ + "ㄅㄛ2" + ], + "襯": [ + "ㄔㄣ4" + ], + "襰": [ + "ㄌㄞ4" + ], + "襱": [ + "ㄌㄨㄥ2", + "ㄌㄨㄥ4" + ], + "襲": [ + "ㄒㄧ2" + ], + "襳": [ + "ㄒㄧㄢ1", + "ㄕㄢ1" + ], + "襴": [ + "ㄌㄢ2" + ], + "襵": [ + "ㄓㄜ3", + "ㄓㄜ2" + ], + "襶": [ + "ㄉㄞ4" + ], + "襷": [ + "ㄐㄩ3" + ], + "襸": [ + "ㄗㄢ4", + "ㄘㄨㄢ2" + ], + "襹": [ + "ㄕ1" + ], + "襺": [ + "ㄐㄧㄢ3" + ], + "襻": [ + "ㄆㄢ4" + ], + "襼": [ + "ㄧ4" + ], + "襽": [ + "ㄌㄢ2" + ], + "襾": [ + "ㄧㄚ4" + ], + "西": [ + "ㄒㄧ1" + ], + "覀": [ + "ㄒㄧ1" + ], + "要": [ + "ㄧㄠ4", + "ㄧㄠ1", + "ㄧㄠ3" + ], + "覂": [ + "ㄈㄥ3", + "ㄅㄢ3" + ], + "覃": [ + "ㄊㄢ2", + "ㄑㄧㄣ2", + "ㄧㄢ3" + ], + "覄": [ + "ㄈㄨ4" + ], + "覅": [ + "ㄈㄧㄠ4" + ], + "覆": [ + "ㄈㄨ4" + ], + "覇": [ + "ㄅㄚ4" + ], + "覈": [ + "ㄏㄜ2" + ], + "覉": [ + "ㄐㄧ1" + ], + "覊": [ + "ㄐㄧ1" + ], + "見": [ + "ㄐㄧㄢ4", + "ㄒㄧㄢ4" + ], + "覌": [ + "ㄍㄨㄢ1" + ], + "覍": [ + "ㄅㄧㄢ4" + ], + "覎": [ + "ㄧㄢ4" + ], + "規": [ + "ㄍㄨㄟ1", + "ㄍㄨㄟ4", + "ㄒㄩ4" + ], + "覐": [ + "ㄐㄩㄝ2" + ], + "覑": [ + "ㄆㄧㄢ3" + ], + "覒": [ + "ㄇㄠ4" + ], + "覓": [ + "ㄇㄧ4" + ], + "覔": [ + "ㄇㄧ4" + ], + "覕": [ + "ㄇㄧㄝ4", + "ㄆㄧㄝ1" + ], + "視": [ + "ㄕ4" + ], + "覗": [ + "ㄙ4" + ], + "覘": [ + "ㄔㄢ1", + "ㄉㄢ1", + "ㄐㄧ1" + ], + "覙": [ + "ㄌㄨㄛ2" + ], + "覚": [ + "ㄐㄩㄝ2" + ], + "覛": [ + "ㄇㄧ4" + ], + "覜": [ + "ㄊㄧㄠ4" + ], + "覝": [ + "ㄌㄧㄢ2" + ], + "覞": [ + "ㄧㄠ4" + ], + "覟": [ + "ㄓ4" + ], + "覠": [ + "ㄐㄩㄣ1" + ], + "覡": [ + "ㄒㄧ2" + ], + "覢": [ + "ㄕㄢ3" + ], + "覣": [ + "ㄨㄟ1" + ], + "覤": [ + "ㄒㄧ4" + ], + "覥": [ + "ㄊㄧㄢ3" + ], + "覦": [ + "ㄩ2" + ], + "覧": [ + "ㄌㄢ3" + ], + "覨": [ + "ㄜ4" + ], + "覩": [ + "ㄉㄨ3" + ], + "親": [ + "ㄑㄧㄣ1", + "ㄑㄧㄥ4" + ], + "覫": [ + "ㄆㄤ3" + ], + "覬": [ + "ㄐㄧ4" + ], + "覭": [ + "ㄇㄧㄥ2" + ], + "覮": [ + "ㄧㄥ2" + ], + "覯": [ + "ㄍㄡ4" + ], + "覰": [ + "ㄑㄩ1", + "ㄑㄩ4" + ], + "覱": [ + "ㄓㄢ4", + "ㄓㄢ1" + ], + "覲": [ + "ㄐㄧㄣ4" + ], + "観": [ + "ㄍㄨㄢ1" + ], + "覴": [ + "ㄉㄥ1" + ], + "覵": [ + "ㄐㄧㄢ4", + "ㄅㄧㄢ3" + ], + "覶": [ + "ㄌㄨㄛ2", + "ㄌㄨㄢ3" + ], + "覷": [ + "ㄑㄩ4" + ], + "覸": [ + "ㄐㄧㄢ1" + ], + "覹": [ + "ㄨㄟ2" + ], + "覺": [ + "ㄐㄩㄝ2", + "ㄐㄧㄠ4" + ], + "覻": [ + "ㄑㄩ1", + "ㄑㄩ4" + ], + "覼": [ + "ㄌㄨㄛ2" + ], + "覽": [ + "ㄌㄢ3", + "ㄌㄢ4" + ], + "覾": [ + "ㄕㄣ3" + ], + "覿": [ + "ㄉㄧ2", + "ㄐㄧ2" + ], + "觀": [ + "ㄍㄨㄢ1", + "ㄍㄨㄢ4" + ], + "见": [ + "ㄐㄧㄢ4", + "ㄒㄧㄢ4" + ], + "观": [ + "ㄍㄨㄢ1", + "ㄍㄨㄢ4" + ], + "觃": [ + "ㄧㄢ4" + ], + "规": [ + "ㄍㄨㄟ1" + ], + "觅": [ + "ㄇㄧ4" + ], + "视": [ + "ㄕ4" + ], + "觇": [ + "ㄔㄢ1" + ], + "览": [ + "ㄌㄢ3" + ], + "觉": [ + "ㄐㄩㄝ2", + "ㄐㄧㄠ4" + ], + "觊": [ + "ㄐㄧ4" + ], + "觋": [ + "ㄒㄧ2" + ], + "觌": [ + "ㄉㄧ2" + ], + "觍": [ + "ㄊㄧㄢ3" + ], + "觎": [ + "ㄩ2" + ], + "觏": [ + "ㄍㄡ4" + ], + "觐": [ + "ㄐㄧㄣ4" + ], + "觑": [ + "ㄑㄩ4", + "ㄑㄩ1" + ], + "角": [ + "ㄐㄧㄠ3", + "ㄐㄩㄝ2", + "ㄌㄨ4", + "ㄍㄨ3" + ], + "觓": [ + "ㄑㄧㄡ2" + ], + "觔": [ + "ㄐㄧㄣ1" + ], + "觕": [ + "ㄘㄨ1", + "ㄔㄨ4", + "ㄔㄥ2" + ], + "觖": [ + "ㄐㄩㄝ2", + "ㄎㄨㄟ4", + "ㄍㄨㄟ4" + ], + "觗": [ + "ㄓ4" + ], + "觘": [ + "ㄔㄠ4" + ], + "觙": [ + "ㄐㄧ2" + ], + "觚": [ + "ㄍㄨ1" + ], + "觛": [ + "ㄉㄢ4" + ], + "觜": [ + "ㄗ1", + "ㄗㄨㄟ3" + ], + "觝": [ + "ㄉㄧ3", + "ㄓ3" + ], + "觞": [ + "ㄕㄤ1" + ], + "觟": [ + "ㄏㄨㄚ4", + "ㄒㄧㄝ4" + ], + "觠": [ + "ㄑㄩㄢ2" + ], + "觡": [ + "ㄍㄜ2" + ], + "觢": [ + "ㄕ4" + ], + "解": [ + "ㄐㄧㄝ3", + "ㄐㄧㄝ4", + "ㄒㄧㄝ4" + ], + "觤": [ + "ㄍㄨㄟ3" + ], + "觥": [ + "ㄍㄨㄥ1" + ], + "触": [ + "ㄔㄨ4" + ], + "觧": [ + "ㄐㄧㄝ3", + "ㄐㄧㄝ4" + ], + "觨": [ + "ㄏㄨㄣ4" + ], + "觩": [ + "ㄑㄧㄡ2" + ], + "觪": [ + "ㄒㄧㄥ1" + ], + "觫": [ + "ㄙㄨ4" + ], + "觬": [ + "ㄋㄧ2" + ], + "觭": [ + "ㄐㄧ1", + "ㄑㄧ3", + "ㄑㄧ2" + ], + "觮": [ + "ㄌㄨ4" + ], + "觯": [ + "ㄓ4" + ], + "觰": [ + "ㄓㄚ1", + "ㄉㄚ3", + "ㄓㄚ3" + ], + "觱": [ + "ㄅㄧ4" + ], + "觲": [ + "ㄒㄧㄥ1" + ], + "觳": [ + "ㄏㄨ2", + "ㄑㄩㄝ4", + "ㄐㄩㄝ2" + ], + "觴": [ + "ㄕㄤ1" + ], + "觵": [ + "ㄍㄨㄥ1" + ], + "觶": [ + "ㄓ4" + ], + "觷": [ + "ㄒㄩㄝ2", + "ㄏㄨ4" + ], + "觸": [ + "ㄔㄨ4" + ], + "觹": [ + "ㄒㄧ1" + ], + "觺": [ + "ㄧ2" + ], + "觻": [ + "ㄌㄧ4", + "ㄌㄨ4" + ], + "觼": [ + "ㄐㄩㄝ2" + ], + "觽": [ + "ㄒㄧ1" + ], + "觾": [ + "ㄧㄢ4" + ], + "觿": [ + "ㄒㄧ1", + "ㄨㄟ2" + ], + "言": [ + "ㄧㄢ2", + "ㄧㄢ4", + "ㄧㄣ2" + ], + "訁": [ + "ㄧㄢ2" + ], + "訂": [ + "ㄉㄧㄥ4" + ], + "訃": [ + "ㄈㄨ4" + ], + "訄": [ + "ㄑㄧㄡ2", + "ㄎㄠ1" + ], + "訅": [ + "ㄑㄧㄡ2" + ], + "訆": [ + "ㄐㄧㄠ4" + ], + "訇": [ + "ㄏㄨㄥ1", + "ㄐㄩㄣ4", + "ㄏㄥ1" + ], + "計": [ + "ㄐㄧ4" + ], + "訉": [ + "ㄈㄢ4" + ], + "訊": [ + "ㄒㄩㄣ4" + ], + "訋": [ + "ㄉㄧㄠ4" + ], + "訌": [ + "ㄏㄨㄥ4" + ], + "訍": [ + "ㄔㄞ4", + "ㄔㄚ1", + "ㄔㄚ4" + ], + "討": [ + "ㄊㄠ3" + ], + "訏": [ + "ㄒㄩ1", + "ㄒㄩ3" + ], + "訐": [ + "ㄐㄧㄝ2", + "ㄐㄧ4" + ], + "訑": [ + "ㄧ2", + "ㄉㄢ4", + "ㄕ1", + "ㄊㄨㄛ2", + "ㄊㄨㄛ3" + ], + "訒": [ + "ㄖㄣ4" + ], + "訓": [ + "ㄒㄩㄣ4" + ], + "訔": [ + "ㄧㄣ2" + ], + "訕": [ + "ㄕㄢ4" + ], + "訖": [ + "ㄑㄧ4" + ], + "託": [ + "ㄊㄨㄛ1" + ], + "記": [ + "ㄐㄧ4" + ], + "訙": [ + "ㄒㄩㄣ4" + ], + "訚": [ + "ㄧㄣ2" + ], + "訛": [ + "ㄜ2" + ], + "訜": [ + "ㄈㄣ1", + "ㄅㄧㄣ1" + ], + "訝": [ + "ㄧㄚ4" + ], + "訞": [ + "ㄧㄠ1" + ], + "訟": [ + "ㄙㄨㄥ4" + ], + "訠": [ + "ㄕㄣ3" + ], + "訡": [ + "ㄧㄣ2" + ], + "訢": [ + "ㄒㄧㄣ1", + "ㄒㄧ1", + "ㄧㄣ2" + ], + "訣": [ + "ㄐㄩㄝ2" + ], + "訤": [ + "ㄒㄧㄠ2", + "ㄋㄚ2" + ], + "訥": [ + "ㄋㄜ4" + ], + "訦": [ + "ㄔㄣ2" + ], + "訧": [ + "ㄧㄡ2" + ], + "訨": [ + "ㄓ3" + ], + "訩": [ + "ㄒㄩㄥ1" + ], + "訪": [ + "ㄈㄤ3" + ], + "訫": [ + "ㄒㄧㄣ4" + ], + "訬": [ + "ㄔㄠ1", + "ㄇㄧㄠ3", + "ㄔㄠ3" + ], + "設": [ + "ㄕㄜ4" + ], + "訮": [ + "ㄧㄢ2" + ], + "訯": [ + "ㄙㄚ3", + "ㄙㄚ4" + ], + "訰": [ + "ㄓㄨㄣ4", + "ㄓㄨㄣ1" + ], + "許": [ + "ㄒㄩ3", + "ㄏㄨ3" + ], + "訲": [ + "ㄧ4" + ], + "訳": [ + "ㄧ4" + ], + "訴": [ + "ㄙㄨ4" + ], + "訵": [ + "ㄔ1", + "ㄔ4" + ], + "訶": [ + "ㄏㄜ1" + ], + "訷": [ + "ㄕㄣ1" + ], + "訸": [ + "ㄏㄜ2" + ], + "訹": [ + "ㄒㄩ4" + ], + "診": [ + "ㄓㄣ3" + ], + "註": [ + "ㄓㄨ4" + ], + "証": [ + "ㄓㄥ4" + ], + "訽": [ + "ㄍㄡ4" + ], + "訾": [ + "ㄗ1", + "ㄗ3" + ], + "訿": [ + "ㄗ3" + ], + "詀": [ + "ㄓㄢ1", + "ㄔㄜ4", + "ㄉㄧㄢ1", + "ㄓㄢ4", + "ㄊㄧㄝ1" + ], + "詁": [ + "ㄍㄨ3" + ], + "詂": [ + "ㄈㄨ4" + ], + "詃": [ + "ㄐㄧㄢ3" + ], + "詄": [ + "ㄉㄧㄝ2" + ], + "詅": [ + "ㄌㄧㄥ2" + ], + "詆": [ + "ㄉㄧ3", + "ㄊㄧ4" + ], + "詇": [ + "ㄧㄤ4" + ], + "詈": [ + "ㄌㄧ4" + ], + "詉": [ + "ㄋㄠ2", + "ㄋㄚ2", + "ㄋㄨ4" + ], + "詊": [ + "ㄆㄢ4" + ], + "詋": [ + "ㄓㄡ4" + ], + "詌": [ + "ㄍㄢ4" + ], + "詍": [ + "ㄧ4" + ], + "詎": [ + "ㄐㄩ4" + ], + "詏": [ + "ㄧㄠ4" + ], + "詐": [ + "ㄓㄚ4" + ], + "詑": [ + "ㄧ2", + "ㄊㄨㄛ2", + "ㄉㄨㄛ4", + "ㄧ1", + "ㄒㄧ1" + ], + "詒": [ + "ㄧ2", + "ㄉㄞ4", + "ㄊㄞ2" + ], + "詓": [ + "ㄑㄩ3" + ], + "詔": [ + "ㄓㄠ4", + "ㄓㄠ1" + ], + "評": [ + "ㄆㄧㄥ2" + ], + "詖": [ + "ㄅㄧ4" + ], + "詗": [ + "ㄒㄩㄥ4" + ], + "詘": [ + "ㄑㄩ1", + "ㄔㄨ4" + ], + "詙": [ + "ㄅㄚ2", + "ㄅㄛ2" + ], + "詚": [ + "ㄉㄚ2" + ], + "詛": [ + "ㄗㄨ3" + ], + "詜": [ + "ㄊㄠ1" + ], + "詝": [ + "ㄓㄨ3" + ], + "詞": [ + "ㄘ2" + ], + "詟": [ + "ㄓㄜ2" + ], + "詠": [ + "ㄩㄥ3" + ], + "詡": [ + "ㄒㄩ3" + ], + "詢": [ + "ㄒㄩㄣ2" + ], + "詣": [ + "ㄧ4" + ], + "詤": [ + "ㄏㄨㄤ3" + ], + "詥": [ + "ㄏㄜ2", + "ㄍㄜ2" + ], + "試": [ + "ㄕ4" + ], + "詧": [ + "ㄔㄚ2", + "ㄑㄧㄝ4" + ], + "詨": [ + "ㄒㄧㄠ4" + ], + "詩": [ + "ㄕ1" + ], + "詪": [ + "ㄏㄣ3" + ], + "詫": [ + "ㄔㄚ4", + "ㄉㄨ4" + ], + "詬": [ + "ㄍㄡ4", + "ㄏㄡ4" + ], + "詭": [ + "ㄍㄨㄟ3" + ], + "詮": [ + "ㄑㄩㄢ2" + ], + "詯": [ + "ㄏㄨㄟ4" + ], + "詰": [ + "ㄐㄧㄝ2" + ], + "話": [ + "ㄏㄨㄚ4" + ], + "該": [ + "ㄍㄞ1" + ], + "詳": [ + "ㄒㄧㄤ2", + "ㄧㄤ2" + ], + "詴": [ + "ㄨㄟ1" + ], + "詵": [ + "ㄕㄣ1" + ], + "詶": [ + "ㄓㄡ4", + "ㄔㄡ2" + ], + "詷": [ + "ㄊㄨㄥ2", + "ㄉㄨㄥ4" + ], + "詸": [ + "ㄇㄧ2" + ], + "詹": [ + "ㄓㄢ1", + "ㄉㄢ4" + ], + "詺": [ + "ㄇㄧㄥ4" + ], + "詻": [ + "ㄜ4", + "ㄌㄩㄝ4", + "ㄌㄨㄛ4" + ], + "詼": [ + "ㄏㄨㄟ1" + ], + "詽": [ + "ㄧㄢ2" + ], + "詾": [ + "ㄒㄩㄥ1" + ], + "詿": [ + "ㄍㄨㄚ4" + ], + "誀": [ + "ㄦ4", + "ㄔ3" + ], + "誁": [ + "ㄅㄧㄥ4" + ], + "誂": [ + "ㄊㄧㄠ3", + "ㄉㄧㄠ4" + ], + "誃": [ + "ㄧ2", + "ㄔ3", + "ㄔ4", + "ㄉㄨㄛ4" + ], + "誄": [ + "ㄌㄟ3" + ], + "誅": [ + "ㄓㄨ1" + ], + "誆": [ + "ㄎㄨㄤ1" + ], + "誇": [ + "ㄎㄨㄚ1", + "ㄑㄩ4" + ], + "誈": [ + "ㄨ1" + ], + "誉": [ + "ㄩ4" + ], + "誊": [ + "ㄊㄥ2" + ], + "誋": [ + "ㄐㄧ4" + ], + "誌": [ + "ㄓ4" + ], + "認": [ + "ㄖㄣ4" + ], + "誎": [ + "ㄘㄨ4" + ], + "誏": [ + "ㄌㄤ3", + "ㄌㄤ4" + ], + "誐": [ + "ㄜ2", + "ㄜ3" + ], + "誑": [ + "ㄎㄨㄤ2" + ], + "誒": [ + "ㄟ2", + "ㄒㄧ1", + "ㄧ4", + "ê1", + "ê2", + "ê3", + "ㄟ3", + "ê4", + "ㄟ4", + "ㄟ1" + ], + "誓": [ + "ㄕ4" + ], + "誔": [ + "ㄊㄧㄥ3" + ], + "誕": [ + "ㄉㄢ4" + ], + "誖": [ + "ㄅㄟ4" + ], + "誗": [ + "ㄔㄢ2" + ], + "誘": [ + "ㄧㄡ4" + ], + "誙": [ + "ㄎㄥ1" + ], + "誚": [ + "ㄑㄧㄠ4" + ], + "誛": [ + "ㄑㄧㄣ1" + ], + "誜": [ + "ㄕㄨㄚ4" + ], + "誝": [ + "ㄢ1" + ], + "語": [ + "ㄩ3", + "ㄩ4" + ], + "誟": [ + "ㄒㄧㄠ4" + ], + "誠": [ + "ㄔㄥ2" + ], + "誡": [ + "ㄐㄧㄝ4" + ], + "誢": [ + "ㄒㄧㄢ4" + ], + "誣": [ + "ㄨ1" + ], + "誤": [ + "ㄨ4" + ], + "誥": [ + "ㄍㄠ4" + ], + "誦": [ + "ㄙㄨㄥ4" + ], + "誧": [ + "ㄅㄨ1" + ], + "誨": [ + "ㄏㄨㄟ4" + ], + "誩": [ + "ㄐㄧㄥ4" + ], + "說": [ + "ㄕㄨㄛ1" + ], + "誫": [ + "ㄓㄣ4" + ], + "説": [ + "ㄕㄨㄛ1", + "ㄕㄨㄟ4", + "ㄩㄝ4", + "ㄊㄨㄛ1" + ], + "読": [ + "ㄉㄨ2" + ], + "誮": [ + "ㄏㄨㄚ1" + ], + "誯": [ + "ㄔㄤ4" + ], + "誰": [ + "ㄕㄨㄟ2", + "ㄕㄟ2" + ], + "誱": [ + "ㄐㄧㄝ2" + ], + "課": [ + "ㄎㄜ4" + ], + "誳": [ + "ㄑㄩ1", + "ㄐㄩㄝ4" + ], + "誴": [ + "ㄘㄨㄥ2" + ], + "誵": [ + "ㄒㄧㄠ2" + ], + "誶": [ + "ㄙㄨㄟ4" + ], + "誷": [ + "ㄨㄤ3" + ], + "誸": [ + "ㄒㄧㄢ2" + ], + "誹": [ + "ㄈㄟ3" + ], + "誺": [ + "ㄔ1", + "ㄌㄞ4" + ], + "誻": [ + "ㄊㄚ4" + ], + "誼": [ + "ㄧ4" + ], + "誽": [ + "ㄋㄧ4", + "ㄋㄚ2" + ], + "誾": [ + "ㄧㄣ2" + ], + "調": [ + "ㄉㄧㄠ4", + "ㄊㄧㄠ2", + "ㄓㄡ1" + ], + "諀": [ + "ㄆㄧ3", + "ㄅㄟ1" + ], + "諁": [ + "ㄓㄨㄛ2" + ], + "諂": [ + "ㄔㄢ3" + ], + "諃": [ + "ㄔㄣ1" + ], + "諄": [ + "ㄓㄨㄣ1" + ], + "諅": [ + "ㄐㄧ4", + "ㄐㄧ1" + ], + "諆": [ + "ㄑㄧ1" + ], + "談": [ + "ㄊㄢ2" + ], + "諈": [ + "ㄓㄨㄟ4" + ], + "諉": [ + "ㄨㄟ3" + ], + "諊": [ + "ㄐㄩ1" + ], + "請": [ + "ㄑㄧㄥ3", + "ㄑㄧㄥ4", + "ㄑㄧㄥ2" + ], + "諌": [ + "ㄉㄨㄥ3" + ], + "諍": [ + "ㄓㄥ4", + "ㄓㄥ1" + ], + "諎": [ + "ㄗㄜ2", + "ㄘㄨㄛ4", + "ㄗㄨㄛ4", + "ㄓㄚ3", + "ㄐㄧㄝ4" + ], + "諏": [ + "ㄗㄡ1", + "ㄓㄡ1" + ], + "諐": [ + "ㄑㄧㄢ1" + ], + "諑": [ + "ㄓㄨㄛ2" + ], + "諒": [ + "ㄌㄧㄤ4", + "ㄌㄧㄤ2" + ], + "諓": [ + "ㄐㄧㄢ4" + ], + "諔": [ + "ㄔㄨ4", + "ㄐㄧ2" + ], + "諕": [ + "ㄏㄠ2", + "ㄒㄧㄚ4", + "ㄏㄨㄛ4" + ], + "論": [ + "ㄌㄨㄣ4", + "ㄌㄨㄣ2" + ], + "諗": [ + "ㄕㄣ3", + "ㄋㄧㄝ4" + ], + "諘": [ + "ㄅㄧㄠ3" + ], + "諙": [ + "ㄏㄨㄚ4" + ], + "諚": [ + "ㄆㄧㄢ2" + ], + "諛": [ + "ㄩ2" + ], + "諜": [ + "ㄉㄧㄝ2", + "ㄒㄧㄝ4" + ], + "諝": [ + "ㄒㄩ1" + ], + "諞": [ + "ㄆㄧㄢ3", + "ㄆㄧㄢ2" + ], + "諟": [ + "ㄕ4", + "ㄉㄧ4" + ], + "諠": [ + "ㄒㄩㄢ1" + ], + "諡": [ + "ㄕ4" + ], + "諢": [ + "ㄏㄨㄣ4" + ], + "諣": [ + "ㄏㄨㄚ4", + "ㄍㄨㄚ1" + ], + "諤": [ + "ㄜ4" + ], + "諥": [ + "ㄓㄨㄥ4" + ], + "諦": [ + "ㄉㄧ4", + "ㄊㄧ2" + ], + "諧": [ + "ㄒㄧㄝ2" + ], + "諨": [ + "ㄈㄨ2" + ], + "諩": [ + "ㄆㄨ3" + ], + "諪": [ + "ㄊㄧㄥ2" + ], + "諫": [ + "ㄐㄧㄢ4", + "ㄌㄢ4" + ], + "諬": [ + "ㄑㄧ3" + ], + "諭": [ + "ㄩ4", + "ㄊㄡ3" + ], + "諮": [ + "ㄗ1" + ], + "諯": [ + "ㄓㄨㄢ1" + ], + "諰": [ + "ㄒㄧ3", + "ㄕㄞ1", + "ㄞ1" + ], + "諱": [ + "ㄏㄨㄟ4" + ], + "諲": [ + "ㄧㄣ1" + ], + "諳": [ + "ㄢ1", + "ㄊㄡ3" + ], + "諴": [ + "ㄒㄧㄢ2", + "ㄍㄢ1" + ], + "諵": [ + "ㄋㄢ2", + "ㄋㄢ4" + ], + "諶": [ + "ㄔㄣ2" + ], + "諷": [ + "ㄈㄥ3", + "ㄈㄥ4" + ], + "諸": [ + "ㄓㄨ1", + "ㄔㄨ2" + ], + "諹": [ + "ㄧㄤ2" + ], + "諺": [ + "ㄧㄢ4" + ], + "諻": [ + "ㄏㄨㄤ2" + ], + "諼": [ + "ㄒㄩㄢ1" + ], + "諽": [ + "ㄍㄜ2" + ], + "諾": [ + "ㄋㄨㄛ4" + ], + "諿": [ + "ㄑㄧ1", + "ㄒㄩ3" + ], + "謀": [ + "ㄇㄡ2" + ], + "謁": [ + "ㄧㄝ4", + "ㄞ3" + ], + "謂": [ + "ㄨㄟ4" + ], + "謃": [ + "ㄒㄧㄥ1" + ], + "謄": [ + "ㄊㄥ2" + ], + "謅": [ + "ㄓㄡ1", + "ㄔㄡ1", + "ㄔㄠ3" + ], + "謆": [ + "ㄕㄢ4" + ], + "謇": [ + "ㄐㄧㄢ3" + ], + "謈": [ + "ㄆㄛ2", + "ㄆㄠ2" + ], + "謉": [ + "ㄎㄨㄟ4", + "ㄉㄨㄟ3", + "ㄊㄨㄟ2", + "ㄍㄨㄟ3" + ], + "謊": [ + "ㄏㄨㄤ3" + ], + "謋": [ + "ㄏㄨㄛ4" + ], + "謌": [ + "ㄍㄜ1" + ], + "謍": [ + "ㄧㄥ2", + "ㄧㄥ1", + "ㄏㄨㄥ1" + ], + "謎": [ + "ㄇㄧ2" + ], + "謏": [ + "ㄒㄧㄠ3", + "ㄙㄡ3", + "ㄙㄡ4" + ], + "謐": [ + "ㄇㄧ4" + ], + "謑": [ + "ㄒㄧ3", + "ㄒㄧㄚ4", + "ㄒㄧ2" + ], + "謒": [ + "ㄑㄧㄤ1" + ], + "謓": [ + "ㄔㄣ1", + "ㄓㄣ4" + ], + "謔": [ + "ㄒㄩㄝ4" + ], + "謕": [ + "ㄊㄧ2", + "ㄙ1" + ], + "謖": [ + "ㄙㄨ4" + ], + "謗": [ + "ㄅㄤ4" + ], + "謘": [ + "ㄔ2" + ], + "謙": [ + "ㄑㄧㄢ1", + "ㄓㄢ4" + ], + "謚": [ + "ㄕ4", + "ㄧ4", + "ㄒㄧ4" + ], + "講": [ + "ㄐㄧㄤ3" + ], + "謜": [ + "ㄩㄢ2", + "ㄑㄩㄢ2" + ], + "謝": [ + "ㄒㄧㄝ4" + ], + "謞": [ + "ㄏㄜ4", + "ㄒㄧㄠ1" + ], + "謟": [ + "ㄊㄠ1" + ], + "謠": [ + "ㄧㄠ2" + ], + "謡": [ + "ㄧㄠ2" + ], + "謢": [ + "ㄌㄨ1" + ], + "謣": [ + "ㄩ2", + "ㄒㄩ1" + ], + "謤": [ + "ㄅㄧㄠ1", + "ㄆㄧㄠ1" + ], + "謥": [ + "ㄘㄨㄥ4" + ], + "謦": [ + "ㄑㄧㄥ3", + "ㄑㄧㄥ4" + ], + "謧": [ + "ㄌㄧ2" + ], + "謨": [ + "ㄇㄛ2" + ], + "謩": [ + "ㄇㄛ2" + ], + "謪": [ + "ㄕㄤ1" + ], + "謫": [ + "ㄓㄜ2", + "ㄗㄜ2" + ], + "謬": [ + "ㄇㄧㄡ4" + ], + "謭": [ + "ㄐㄧㄢ3" + ], + "謮": [ + "ㄗㄜ2" + ], + "謯": [ + "ㄐㄧㄝ1", + "ㄓㄚ1", + "ㄓㄚ3", + "ㄗㄨ3" + ], + "謰": [ + "ㄌㄧㄢ2" + ], + "謱": [ + "ㄌㄡ2", + "ㄌㄩ3" + ], + "謲": [ + "ㄘㄢ4", + "ㄗㄠ4", + "ㄙㄢ1", + "ㄔㄣ3" + ], + "謳": [ + "ㄡ1", + "ㄒㄩ2" + ], + "謴": [ + "ㄍㄨㄣ4" + ], + "謵": [ + "ㄒㄧ2", + "ㄔㄜ4" + ], + "謶": [ + "ㄓㄨㄛ2", + "ㄕㄨ4", + "ㄓㄜ1" + ], + "謷": [ + "ㄠ2", + "ㄠ4" + ], + "謸": [ + "ㄠ2" + ], + "謹": [ + "ㄐㄧㄣ3" + ], + "謺": [ + "ㄓㄜ2" + ], + "謻": [ + "ㄧ2", + "ㄔ2" + ], + "謼": [ + "ㄏㄨ1", + "ㄒㄧㄠ1" + ], + "謽": [ + "ㄐㄧㄤ4" + ], + "謾": [ + "ㄇㄢ2", + "ㄇㄢ4" + ], + "謿": [ + "ㄔㄠ2" + ], + "譀": [ + "ㄏㄢ4", + "ㄒㄧㄢ4" + ], + "譁": [ + "ㄏㄨㄚ2", + "ㄨㄚ4" + ], + "譂": [ + "ㄔㄢ3", + "ㄉㄢ4" + ], + "譃": [ + "ㄒㄩ1" + ], + "譄": [ + "ㄗㄥ1" + ], + "譅": [ + "ㄙㄜ4" + ], + "譆": [ + "ㄒㄧ1" + ], + "譇": [ + "ㄓㄚ1" + ], + "譈": [ + "ㄉㄨㄟ4" + ], + "證": [ + "ㄓㄥ4" + ], + "譊": [ + "ㄋㄠ2", + "ㄒㄧㄠ1" + ], + "譋": [ + "ㄌㄢ2" + ], + "譌": [ + "ㄜ2", + "ㄨㄚ2", + "ㄍㄨㄟ3" + ], + "譍": [ + "ㄧㄥ1", + "ㄧㄥ4" + ], + "譎": [ + "ㄐㄩㄝ2" + ], + "譏": [ + "ㄐㄧ1" + ], + "譐": [ + "ㄗㄨㄣ3" + ], + "譑": [ + "ㄐㄧㄠ3", + "ㄑㄧㄠ4" + ], + "譒": [ + "ㄅㄛ4" + ], + "譓": [ + "ㄏㄨㄟ4" + ], + "譔": [ + "ㄓㄨㄢ4", + "ㄑㄩㄢ2" + ], + "譕": [ + "ㄨ2", + "ㄇㄛ2" + ], + "譖": [ + "ㄗㄣ4", + "ㄐㄧㄢ4" + ], + "譗": [ + "ㄓㄚ2" + ], + "識": [ + "ㄕ2", + "ㄕ4", + "ㄓ4" + ], + "譙": [ + "ㄑㄧㄠ4", + "ㄑㄧㄠ2" + ], + "譚": [ + "ㄊㄢ2" + ], + "譛": [ + "ㄗㄣ4" + ], + "譜": [ + "ㄆㄨ3" + ], + "譝": [ + "ㄕㄥ2" + ], + "譞": [ + "ㄒㄩㄢ1" + ], + "譟": [ + "ㄗㄠ4" + ], + "譠": [ + "ㄊㄢ2" + ], + "譡": [ + "ㄉㄤ3" + ], + "譢": [ + "ㄙㄨㄟ4" + ], + "譣": [ + "ㄒㄧㄢ3" + ], + "譤": [ + "ㄐㄧ1" + ], + "譥": [ + "ㄐㄧㄠ4" + ], + "警": [ + "ㄐㄧㄥ3" + ], + "譧": [ + "ㄓㄢ4", + "ㄌㄧㄢ2" + ], + "譨": [ + "ㄋㄤ2", + "ㄋㄡ2" + ], + "譩": [ + "ㄧ1" + ], + "譪": [ + "ㄞ3" + ], + "譫": [ + "ㄓㄢ1" + ], + "譬": [ + "ㄆㄧ4" + ], + "譭": [ + "ㄏㄨㄟ3" + ], + "譮": [ + "ㄏㄨㄚ4", + "ㄒㄧㄝ4", + "ㄏㄨㄟ4" + ], + "譯": [ + "ㄧ4" + ], + "議": [ + "ㄧ4" + ], + "譱": [ + "ㄕㄢ4" + ], + "譲": [ + "ㄖㄤ4" + ], + "譳": [ + "ㄋㄡ4" + ], + "譴": [ + "ㄑㄧㄢ3" + ], + "譵": [ + "ㄉㄨㄟ4" + ], + "譶": [ + "ㄊㄚ4" + ], + "護": [ + "ㄏㄨ4" + ], + "譸": [ + "ㄓㄡ1", + "ㄔㄡ2" + ], + "譹": [ + "ㄏㄠ2" + ], + "譺": [ + "ㄞ4", + "ㄧ3", + "ㄋㄧ3", + "ㄧ4", + "ㄧ2" + ], + "譻": [ + "ㄧㄥ1" + ], + "譼": [ + "ㄐㄧㄢ4" + ], + "譽": [ + "ㄩ4" + ], + "譾": [ + "ㄐㄧㄢ3" + ], + "譿": [ + "ㄏㄨㄟ4" + ], + "讀": [ + "ㄉㄨ2", + "ㄉㄡ4" + ], + "讁": [ + "ㄓㄜ2" + ], + "讂": [ + "ㄒㄩㄢ4" + ], + "讃": [ + "ㄗㄢ4" + ], + "讄": [ + "ㄌㄟ3" + ], + "讅": [ + "ㄕㄣ3" + ], + "讆": [ + "ㄨㄟ4" + ], + "讇": [ + "ㄔㄢ3" + ], + "讈": [ + "ㄌㄧ4" + ], + "讉": [ + "ㄧ2", + "ㄊㄨㄟ1" + ], + "變": [ + "ㄅㄧㄢ4" + ], + "讋": [ + "ㄓㄜ2" + ], + "讌": [ + "ㄧㄢ4" + ], + "讍": [ + "ㄜ4" + ], + "讎": [ + "ㄔㄡ2" + ], + "讏": [ + "ㄨㄟ4" + ], + "讐": [ + "ㄔㄡ2" + ], + "讑": [ + "ㄧㄠ4" + ], + "讒": [ + "ㄔㄢ2" + ], + "讓": [ + "ㄖㄤ4" + ], + "讔": [ + "ㄧㄣ3" + ], + "讕": [ + "ㄌㄢ2" + ], + "讖": [ + "ㄔㄣ4", + "ㄔㄢ4" + ], + "讗": [ + "ㄒㄧㄝ2" + ], + "讘": [ + "ㄋㄧㄝ4" + ], + "讙": [ + "ㄏㄨㄢ1", + "ㄏㄨㄢ4" + ], + "讚": [ + "ㄗㄢ4" + ], + "讛": [ + "ㄧ4" + ], + "讜": [ + "ㄉㄤ3", + "ㄉㄤ4" + ], + "讝": [ + "ㄓㄢ2", + "ㄓㄢ1" + ], + "讞": [ + "ㄧㄢ4" + ], + "讟": [ + "ㄉㄨ2" + ], + "讠": [ + "ㄧㄢ2" + ], + "计": [ + "ㄐㄧ4" + ], + "订": [ + "ㄉㄧㄥ4" + ], + "讣": [ + "ㄈㄨ4" + ], + "认": [ + "ㄖㄣ4" + ], + "讥": [ + "ㄐㄧ1" + ], + "讦": [ + "ㄐㄧㄝ2" + ], + "讧": [ + "ㄏㄨㄥ4" + ], + "讨": [ + "ㄊㄠ3" + ], + "让": [ + "ㄖㄤ4" + ], + "讪": [ + "ㄕㄢ4" + ], + "讫": [ + "ㄑㄧ4" + ], + "讬": [ + "ㄊㄨㄛ1" + ], + "训": [ + "ㄒㄩㄣ4" + ], + "议": [ + "ㄧ4" + ], + "讯": [ + "ㄒㄩㄣ4" + ], + "记": [ + "ㄐㄧ4" + ], + "讱": [ + "ㄖㄣ4" + ], + "讲": [ + "ㄐㄧㄤ3" + ], + "讳": [ + "ㄏㄨㄟ4" + ], + "讴": [ + "ㄡ1" + ], + "讵": [ + "ㄐㄩ4" + ], + "讶": [ + "ㄧㄚ4" + ], + "讷": [ + "ㄋㄜ4" + ], + "许": [ + "ㄒㄩ3", + "ㄏㄨ3" + ], + "讹": [ + "ㄜ2" + ], + "论": [ + "ㄌㄨㄣ4", + "ㄌㄨㄣ2" + ], + "讻": [ + "ㄒㄩㄥ1" + ], + "讼": [ + "ㄙㄨㄥ4" + ], + "讽": [ + "ㄈㄥ3", + "ㄈㄥ4" + ], + "设": [ + "ㄕㄜ4" + ], + "访": [ + "ㄈㄤ3" + ], + "诀": [ + "ㄐㄩㄝ2" + ], + "证": [ + "ㄓㄥ4" + ], + "诂": [ + "ㄍㄨ3" + ], + "诃": [ + "ㄏㄜ1" + ], + "评": [ + "ㄆㄧㄥ2" + ], + "诅": [ + "ㄗㄨ3" + ], + "识": [ + "ㄕ2", + "ㄕ4", + "ㄓ4" + ], + "诇": [ + "ㄒㄩㄥ4" + ], + "诈": [ + "ㄓㄚ4" + ], + "诉": [ + "ㄙㄨ4" + ], + "诊": [ + "ㄓㄣ3" + ], + "诋": [ + "ㄉㄧ3" + ], + "诌": [ + "ㄓㄡ1" + ], + "词": [ + "ㄘ2" + ], + "诎": [ + "ㄑㄩ1" + ], + "诏": [ + "ㄓㄠ4" + ], + "诐": [ + "ㄅㄧ4" + ], + "译": [ + "ㄧ4" + ], + "诒": [ + "ㄧ2" + ], + "诓": [ + "ㄎㄨㄤ1" + ], + "诔": [ + "ㄌㄟ3" + ], + "试": [ + "ㄕ4" + ], + "诖": [ + "ㄍㄨㄚ4" + ], + "诗": [ + "ㄕ1" + ], + "诘": [ + "ㄐㄧ2", + "ㄐㄧㄝ2" + ], + "诙": [ + "ㄏㄨㄟ1" + ], + "诚": [ + "ㄔㄥ2" + ], + "诛": [ + "ㄓㄨ1" + ], + "诜": [ + "ㄕㄣ1" + ], + "话": [ + "ㄏㄨㄚ4" + ], + "诞": [ + "ㄉㄢ4" + ], + "诟": [ + "ㄍㄡ4" + ], + "诠": [ + "ㄑㄩㄢ2" + ], + "诡": [ + "ㄍㄨㄟ3" + ], + "询": [ + "ㄒㄩㄣ2" + ], + "诣": [ + "ㄧ4" + ], + "诤": [ + "ㄓㄥ4", + "ㄓㄥ1" + ], + "该": [ + "ㄍㄞ1" + ], + "详": [ + "ㄒㄧㄤ2" + ], + "诧": [ + "ㄔㄚ4" + ], + "诨": [ + "ㄏㄨㄣ4" + ], + "诩": [ + "ㄒㄩ3" + ], + "诪": [ + "ㄓㄡ1" + ], + "诫": [ + "ㄐㄧㄝ4" + ], + "诬": [ + "ㄨ1" + ], + "语": [ + "ㄩ3", + "ㄩ4" + ], + "诮": [ + "ㄑㄧㄠ4" + ], + "误": [ + "ㄨ4" + ], + "诰": [ + "ㄍㄠ4" + ], + "诱": [ + "ㄧㄡ4" + ], + "诲": [ + "ㄏㄨㄟ4" + ], + "诳": [ + "ㄎㄨㄤ2" + ], + "说": [ + "ㄕㄨㄛ1", + "ㄕㄨㄟ4", + "ㄩㄝ4" + ], + "诵": [ + "ㄙㄨㄥ4" + ], + "诶": [ + "ㄟ2" + ], + "请": [ + "ㄑㄧㄥ3" + ], + "诸": [ + "ㄓㄨ1" + ], + "诹": [ + "ㄗㄡ1" + ], + "诺": [ + "ㄋㄨㄛ4" + ], + "读": [ + "ㄉㄨ2", + "ㄉㄡ4" + ], + "诼": [ + "ㄓㄨㄛ2" + ], + "诽": [ + "ㄈㄟ3" + ], + "课": [ + "ㄎㄜ4" + ], + "诿": [ + "ㄨㄟ3" + ], + "谀": [ + "ㄩ2" + ], + "谁": [ + "ㄕㄨㄟ2", + "ㄕㄟ2" + ], + "谂": [ + "ㄕㄣ3" + ], + "调": [ + "ㄉㄧㄠ4", + "ㄊㄧㄠ2" + ], + "谄": [ + "ㄔㄢ3" + ], + "谅": [ + "ㄌㄧㄤ4" + ], + "谆": [ + "ㄓㄨㄣ1" + ], + "谇": [ + "ㄙㄨㄟ4" + ], + "谈": [ + "ㄊㄢ2" + ], + "谉": [ + "ㄕㄣ3" + ], + "谊": [ + "ㄧ4" + ], + "谋": [ + "ㄇㄡ2" + ], + "谌": [ + "ㄔㄣ2" + ], + "谍": [ + "ㄉㄧㄝ2" + ], + "谎": [ + "ㄏㄨㄤ3" + ], + "谏": [ + "ㄐㄧㄢ4" + ], + "谐": [ + "ㄒㄧㄝ2" + ], + "谑": [ + "ㄒㄩㄝ4" + ], + "谒": [ + "ㄧㄝ4" + ], + "谓": [ + "ㄨㄟ4" + ], + "谔": [ + "ㄜ4" + ], + "谕": [ + "ㄩ4" + ], + "谖": [ + "ㄒㄩㄢ1" + ], + "谗": [ + "ㄔㄢ2" + ], + "谘": [ + "ㄗ1" + ], + "谙": [ + "ㄢ1" + ], + "谚": [ + "ㄧㄢ4" + ], + "谛": [ + "ㄉㄧ4" + ], + "谜": [ + "ㄇㄧ2", + "ㄇㄟ4" + ], + "谝": [ + "ㄆㄧㄢ2", + "ㄆㄧㄢ3" + ], + "谞": [ + "ㄒㄩ1" + ], + "谟": [ + "ㄇㄛ2" + ], + "谠": [ + "ㄉㄤ3" + ], + "谡": [ + "ㄙㄨ4" + ], + "谢": [ + "ㄒㄧㄝ4" + ], + "谣": [ + "ㄧㄠ2" + ], + "谤": [ + "ㄅㄤ4" + ], + "谥": [ + "ㄕ4" + ], + "谦": [ + "ㄑㄧㄢ1" + ], + "谧": [ + "ㄇㄧ4" + ], + "谨": [ + "ㄐㄧㄣ3" + ], + "谩": [ + "ㄇㄢ2", + "ㄇㄢ4" + ], + "谪": [ + "ㄓㄜ2" + ], + "谫": [ + "ㄐㄧㄢ3" + ], + "谬": [ + "ㄇㄧㄡ4" + ], + "谭": [ + "ㄊㄢ2" + ], + "谮": [ + "ㄗㄣ4" + ], + "谯": [ + "ㄑㄧㄠ2", + "ㄑㄧㄠ4" + ], + "谰": [ + "ㄌㄢ2" + ], + "谱": [ + "ㄆㄨ3" + ], + "谲": [ + "ㄐㄩㄝ2" + ], + "谳": [ + "ㄧㄢ4" + ], + "谴": [ + "ㄑㄧㄢ3" + ], + "谵": [ + "ㄓㄢ1" + ], + "谶": [ + "ㄔㄣ4" + ], + "谷": [ + "ㄍㄨ3", + "ㄌㄨ4", + "ㄩ4" + ], + "谸": [ + "ㄑㄧㄢ1" + ], + "谹": [ + "ㄏㄨㄥ2" + ], + "谺": [ + "ㄒㄧㄚ1" + ], + "谻": [ + "ㄐㄧ2" + ], + "谼": [ + "ㄏㄨㄥ2" + ], + "谽": [ + "ㄏㄢ1" + ], + "谾": [ + "ㄏㄨㄥ1", + "ㄌㄨㄥ2" + ], + "谿": [ + "ㄒㄧ1", + "ㄐㄧ1" + ], + "豀": [ + "ㄒㄧ1" + ], + "豁": [ + "ㄏㄨㄛ1", + "ㄏㄨㄛ4", + "ㄏㄨㄚ2" + ], + "豂": [ + "ㄌㄧㄠ2" + ], + "豃": [ + "ㄏㄢ3", + "ㄍㄢ3" + ], + "豄": [ + "ㄉㄨ2" + ], + "豅": [ + "ㄌㄨㄥ2", + "ㄌㄨㄥ4" + ], + "豆": [ + "ㄉㄡ4" + ], + "豇": [ + "ㄐㄧㄤ1" + ], + "豈": [ + "ㄑㄧ3", + "ㄎㄞ3" + ], + "豉": [ + "ㄕ4", + "ㄔ3" + ], + "豊": [ + "ㄌㄧ3", + "ㄈㄥ1" + ], + "豋": [ + "ㄉㄥ1" + ], + "豌": [ + "ㄨㄢ1" + ], + "豍": [ + "ㄅㄧ1", + "ㄅㄧㄢ3" + ], + "豎": [ + "ㄕㄨ4" + ], + "豏": [ + "ㄒㄧㄢ4" + ], + "豐": [ + "ㄈㄥ1" + ], + "豑": [ + "ㄓ4" + ], + "豒": [ + "ㄓ4" + ], + "豓": [ + "ㄧㄢ4" + ], + "豔": [ + "ㄧㄢ4" + ], + "豕": [ + "ㄕ3" + ], + "豖": [ + "ㄔㄨ4" + ], + "豗": [ + "ㄏㄨㄟ1" + ], + "豘": [ + "ㄊㄨㄣ2" + ], + "豙": [ + "ㄧ4" + ], + "豚": [ + "ㄊㄨㄣ2", + "ㄉㄨㄣ1", + "ㄉㄨㄣ4" + ], + "豛": [ + "ㄧ4" + ], + "豜": [ + "ㄐㄧㄢ1" + ], + "豝": [ + "ㄅㄚ1" + ], + "豞": [ + "ㄏㄡ4" + ], + "豟": [ + "ㄜ4" + ], + "豠": [ + "ㄔㄨ2" + ], + "象": [ + "ㄒㄧㄤ4" + ], + "豢": [ + "ㄏㄨㄢ4" + ], + "豣": [ + "ㄐㄧㄢ1", + "ㄧㄢ4" + ], + "豤": [ + "ㄎㄣ3", + "ㄎㄨㄣ1" + ], + "豥": [ + "ㄍㄞ1" + ], + "豦": [ + "ㄐㄩ4" + ], + "豧": [ + "ㄈㄨ1", + "ㄈㄨ4", + "ㄆㄨ1" + ], + "豨": [ + "ㄒㄧ1" + ], + "豩": [ + "ㄅㄧㄣ1", + "ㄏㄨㄢ1" + ], + "豪": [ + "ㄏㄠ2" + ], + "豫": [ + "ㄩ4", + "ㄒㄧㄝ4", + "ㄕㄨ1" + ], + "豬": [ + "ㄓㄨ1" + ], + "豭": [ + "ㄐㄧㄚ1" + ], + "豮": [ + "ㄈㄣ2" + ], + "豯": [ + "ㄒㄧ1" + ], + "豰": [ + "ㄅㄛ2", + "ㄏㄨ4", + "ㄏㄨㄛ4", + "ㄍㄡ4" + ], + "豱": [ + "ㄨㄣ1" + ], + "豲": [ + "ㄏㄨㄢ2" + ], + "豳": [ + "ㄅㄧㄣ1", + "ㄅㄢ1" + ], + "豴": [ + "ㄉㄧ2" + ], + "豵": [ + "ㄗㄨㄥ1" + ], + "豶": [ + "ㄈㄣ2" + ], + "豷": [ + "ㄧ4" + ], + "豸": [ + "ㄓ4", + "ㄓㄞ4" + ], + "豹": [ + "ㄅㄠ4" + ], + "豺": [ + "ㄔㄞ2" + ], + "豻": [ + "ㄢ4" + ], + "豼": [ + "ㄆㄧ2" + ], + "豽": [ + "ㄋㄚ4" + ], + "豾": [ + "ㄆㄧ1" + ], + "豿": [ + "ㄍㄡ3" + ], + "貀": [ + "ㄋㄚ4", + "ㄉㄨㄛ4" + ], + "貁": [ + "ㄧㄡ4" + ], + "貂": [ + "ㄉㄧㄠ1" + ], + "貃": [ + "ㄇㄛ4" + ], + "貄": [ + "ㄙ4" + ], + "貅": [ + "ㄒㄧㄡ1" + ], + "貆": [ + "ㄏㄨㄢ2", + "ㄏㄨㄢ1" + ], + "貇": [ + "ㄎㄨㄣ1", + "ㄇㄠ4", + "ㄎㄣ3" + ], + "貈": [ + "ㄏㄜ2", + "ㄇㄛ4" + ], + "貉": [ + "ㄏㄠ2", + "ㄏㄜ2", + "ㄇㄛ4", + "ㄇㄚ4" + ], + "貊": [ + "ㄇㄛ4", + "ㄇㄚ2" + ], + "貋": [ + "ㄢ4" + ], + "貌": [ + "ㄇㄠ4", + "ㄇㄛ4" + ], + "貍": [ + "ㄌㄧ2", + "ㄇㄞ2", + "ㄩ4" + ], + "貎": [ + "ㄋㄧ2" + ], + "貏": [ + "ㄅㄧ3" + ], + "貐": [ + "ㄩ3" + ], + "貑": [ + "ㄐㄧㄚ1" + ], + "貒": [ + "ㄊㄨㄢ1", + "ㄊㄨㄢ4" + ], + "貓": [ + "ㄇㄠ1", + "ㄇㄠ2" + ], + "貔": [ + "ㄆㄧ2" + ], + "貕": [ + "ㄒㄧ1" + ], + "貖": [ + "ㄧ4" + ], + "貗": [ + "ㄐㄩ4", + "ㄩ2" + ], + "貘": [ + "ㄇㄛ4" + ], + "貙": [ + "ㄔㄨ1" + ], + "貚": [ + "ㄊㄢ2" + ], + "貛": [ + "ㄏㄨㄢ1" + ], + "貜": [ + "ㄐㄩㄝ2" + ], + "貝": [ + "ㄅㄟ4" + ], + "貞": [ + "ㄓㄣ1", + "ㄓㄥ1" + ], + "貟": [ + "ㄩㄢ2" + ], + "負": [ + "ㄈㄨ4" + ], + "財": [ + "ㄘㄞ2" + ], + "貢": [ + "ㄍㄨㄥ4" + ], + "貣": [ + "ㄊㄜ4" + ], + "貤": [ + "ㄧ2", + "ㄧ4" + ], + "貥": [ + "ㄏㄤ2" + ], + "貦": [ + "ㄨㄢ2" + ], + "貧": [ + "ㄆㄧㄣ2" + ], + "貨": [ + "ㄏㄨㄛ4" + ], + "販": [ + "ㄈㄢ4" + ], + "貪": [ + "ㄊㄢ1" + ], + "貫": [ + "ㄍㄨㄢ4", + "ㄨㄢ1" + ], + "責": [ + "ㄗㄜ2", + "ㄓㄞ4" + ], + "貭": [ + "ㄓ4" + ], + "貮": [ + "ㄦ4" + ], + "貯": [ + "ㄓㄨ4" + ], + "貰": [ + "ㄕ4" + ], + "貱": [ + "ㄅㄧ4" + ], + "貲": [ + "ㄗ1" + ], + "貳": [ + "ㄦ4" + ], + "貴": [ + "ㄍㄨㄟ4" + ], + "貵": [ + "ㄆㄧㄢ3" + ], + "貶": [ + "ㄅㄧㄢ3", + "ㄈㄚ2" + ], + "買": [ + "ㄇㄞ3" + ], + "貸": [ + "ㄉㄞ4", + "ㄊㄜ4" + ], + "貹": [ + "ㄕㄥ4" + ], + "貺": [ + "ㄎㄨㄤ4" + ], + "費": [ + "ㄈㄟ4", + "ㄈㄨ2", + "ㄅㄧ4" + ], + "貼": [ + "ㄊㄧㄝ1" + ], + "貽": [ + "ㄧ2" + ], + "貾": [ + "ㄔ2" + ], + "貿": [ + "ㄇㄠ4" + ], + "賀": [ + "ㄏㄜ4" + ], + "賁": [ + "ㄅㄧ4", + "ㄈㄣ2", + "ㄅㄣ1", + "ㄈㄣ4", + "ㄈㄟ2", + "ㄅㄢ1", + "ㄌㄨ4", + "ㄆㄢ1" + ], + "賂": [ + "ㄌㄨ4" + ], + "賃": [ + "ㄌㄧㄣ4" + ], + "賄": [ + "ㄏㄨㄟ4" + ], + "賅": [ + "ㄍㄞ1" + ], + "賆": [ + "ㄆㄧㄢ2" + ], + "資": [ + "ㄗ1", + "ㄗ4" + ], + "賈": [ + "ㄐㄧㄚ3", + "ㄍㄨ3", + "ㄐㄧㄚ4" + ], + "賉": [ + "ㄒㄩ4" + ], + "賊": [ + "ㄗㄟ2" + ], + "賋": [ + "ㄐㄧㄠ3" + ], + "賌": [ + "ㄍㄞ1" + ], + "賍": [ + "ㄗㄤ1" + ], + "賎": [ + "ㄐㄧㄢ4" + ], + "賏": [ + "ㄧㄥ1" + ], + "賐": [ + "ㄒㄩㄣ4" + ], + "賑": [ + "ㄓㄣ4" + ], + "賒": [ + "ㄕㄜ1", + "ㄕㄚ1" + ], + "賓": [ + "ㄅㄧㄣ1" + ], + "賔": [ + "ㄅㄧㄣ1" + ], + "賕": [ + "ㄑㄧㄡ2" + ], + "賖": [ + "ㄕㄜ1" + ], + "賗": [ + "ㄔㄨㄢ4" + ], + "賘": [ + "ㄗㄤ1" + ], + "賙": [ + "ㄓㄡ1" + ], + "賚": [ + "ㄌㄞ4" + ], + "賛": [ + "ㄗㄢ4" + ], + "賜": [ + "ㄘ4" + ], + "賝": [ + "ㄔㄣ1" + ], + "賞": [ + "ㄕㄤ3" + ], + "賟": [ + "ㄊㄧㄢ3" + ], + "賠": [ + "ㄆㄟ2" + ], + "賡": [ + "ㄍㄥ1" + ], + "賢": [ + "ㄒㄧㄢ2", + "ㄒㄧㄢ4" + ], + "賣": [ + "ㄇㄞ4" + ], + "賤": [ + "ㄐㄧㄢ4" + ], + "賥": [ + "ㄙㄨㄟ4" + ], + "賦": [ + "ㄈㄨ4" + ], + "賧": [ + "ㄊㄢ4" + ], + "賨": [ + "ㄘㄨㄥ2" + ], + "賩": [ + "ㄘㄨㄥ2" + ], + "質": [ + "ㄓ4" + ], + "賫": [ + "ㄐㄧ1" + ], + "賬": [ + "ㄓㄤ4" + ], + "賭": [ + "ㄉㄨ3" + ], + "賮": [ + "ㄐㄧㄣ4" + ], + "賯": [ + "ㄒㄩㄥ1" + ], + "賰": [ + "ㄔㄨㄣ3" + ], + "賱": [ + "ㄩㄣ3" + ], + "賲": [ + "ㄅㄠ3" + ], + "賳": [ + "ㄗㄞ1" + ], + "賴": [ + "ㄌㄞ4" + ], + "賵": [ + "ㄈㄥ4" + ], + "賶": [ + "ㄘㄤ4" + ], + "賷": [ + "ㄐㄧ1" + ], + "賸": [ + "ㄕㄥ4" + ], + "賹": [ + "ㄧ4", + "ㄞ4" + ], + "賺": [ + "ㄓㄨㄢ4", + "ㄗㄨㄢ4" + ], + "賻": [ + "ㄈㄨ4" + ], + "購": [ + "ㄍㄡ4" + ], + "賽": [ + "ㄙㄞ4" + ], + "賾": [ + "ㄗㄜ2" + ], + "賿": [ + "ㄌㄧㄠ2" + ], + "贀": [ + "ㄧ4" + ], + "贁": [ + "ㄅㄞ4" + ], + "贂": [ + "ㄔㄣ3" + ], + "贃": [ + "ㄨㄢ4" + ], + "贄": [ + "ㄓ4", + "ㄓ2" + ], + "贅": [ + "ㄓㄨㄟ4" + ], + "贆": [ + "ㄅㄧㄠ1" + ], + "贇": [ + "ㄩㄣ1", + "ㄅㄧㄣ1" + ], + "贈": [ + "ㄗㄥ4" + ], + "贉": [ + "ㄉㄢ4" + ], + "贊": [ + "ㄗㄢ4" + ], + "贋": [ + "ㄧㄢ4" + ], + "贌": [ + "ㄆㄨ2" + ], + "贍": [ + "ㄕㄢ4", + "ㄉㄢ4" + ], + "贎": [ + "ㄨㄢ4" + ], + "贏": [ + "ㄧㄥ2" + ], + "贐": [ + "ㄐㄧㄣ4" + ], + "贑": [ + "ㄍㄢ4" + ], + "贒": [ + "ㄒㄧㄢ2" + ], + "贓": [ + "ㄗㄤ1" + ], + "贔": [ + "ㄅㄧ4" + ], + "贕": [ + "ㄉㄨ2" + ], + "贖": [ + "ㄕㄨ2", + "ㄕㄨ4" + ], + "贗": [ + "ㄧㄢ4", + "ㄧㄢ2" + ], + "贘": [ + "ㄕㄤ3" + ], + "贙": [ + "ㄒㄩㄢ4" + ], + "贚": [ + "ㄌㄨㄥ4" + ], + "贛": [ + "ㄍㄢ4", + "ㄍㄨㄥ4", + "ㄓㄨㄤ4" + ], + "贜": [ + "ㄗㄤ1" + ], + "贝": [ + "ㄅㄟ4" + ], + "贞": [ + "ㄓㄣ1" + ], + "负": [ + "ㄈㄨ4" + ], + "贠": [ + "ㄩㄢ2" + ], + "贡": [ + "ㄍㄨㄥ4" + ], + "财": [ + "ㄘㄞ2" + ], + "责": [ + "ㄗㄜ2" + ], + "贤": [ + "ㄒㄧㄢ2" + ], + "败": [ + "ㄅㄞ4" + ], + "账": [ + "ㄓㄤ4" + ], + "货": [ + "ㄏㄨㄛ4" + ], + "质": [ + "ㄓ4" + ], + "贩": [ + "ㄈㄢ4" + ], + "贪": [ + "ㄊㄢ1" + ], + "贫": [ + "ㄆㄧㄣ2" + ], + "贬": [ + "ㄅㄧㄢ3" + ], + "购": [ + "ㄍㄡ4" + ], + "贮": [ + "ㄓㄨ4" + ], + "贯": [ + "ㄍㄨㄢ4" + ], + "贰": [ + "ㄦ4" + ], + "贱": [ + "ㄐㄧㄢ4" + ], + "贲": [ + "ㄅㄣ1", + "ㄅㄧ4" + ], + "贳": [ + "ㄕ4" + ], + "贴": [ + "ㄊㄧㄝ1" + ], + "贵": [ + "ㄍㄨㄟ4" + ], + "贶": [ + "ㄎㄨㄤ4" + ], + "贷": [ + "ㄉㄞ4" + ], + "贸": [ + "ㄇㄠ4" + ], + "费": [ + "ㄈㄟ4" + ], + "贺": [ + "ㄏㄜ4" + ], + "贻": [ + "ㄧ2" + ], + "贼": [ + "ㄗㄟ2" + ], + "贽": [ + "ㄓ4" + ], + "贾": [ + "ㄐㄧㄚ3", + "ㄍㄨ3" + ], + "贿": [ + "ㄏㄨㄟ4" + ], + "赀": [ + "ㄗ1" + ], + "赁": [ + "ㄌㄧㄣ4" + ], + "赂": [ + "ㄌㄨ4" + ], + "赃": [ + "ㄗㄤ1" + ], + "资": [ + "ㄗ1" + ], + "赅": [ + "ㄍㄞ1" + ], + "赆": [ + "ㄐㄧㄣ4" + ], + "赇": [ + "ㄑㄧㄡ2" + ], + "赈": [ + "ㄓㄣ4" + ], + "赉": [ + "ㄌㄞ4" + ], + "赊": [ + "ㄕㄜ1" + ], + "赋": [ + "ㄈㄨ4" + ], + "赌": [ + "ㄉㄨ3" + ], + "赍": [ + "ㄐㄧ1" + ], + "赎": [ + "ㄕㄨ2" + ], + "赏": [ + "ㄕㄤ3" + ], + "赐": [ + "ㄘ4" + ], + "赑": [ + "ㄅㄧ4" + ], + "赒": [ + "ㄓㄡ1" + ], + "赓": [ + "ㄍㄥ1" + ], + "赔": [ + "ㄆㄟ2" + ], + "赕": [ + "ㄉㄢ3" + ], + "赖": [ + "ㄌㄞ4" + ], + "赗": [ + "ㄈㄥ4" + ], + "赘": [ + "ㄓㄨㄟ4" + ], + "赙": [ + "ㄈㄨ4" + ], + "赚": [ + "ㄓㄨㄢ4", + "ㄗㄨㄢ4" + ], + "赛": [ + "ㄙㄞ4" + ], + "赜": [ + "ㄗㄜ2" + ], + "赝": [ + "ㄧㄢ4" + ], + "赞": [ + "ㄗㄢ4" + ], + "赟": [ + "ㄩㄣ1" + ], + "赠": [ + "ㄗㄥ4" + ], + "赡": [ + "ㄕㄢ4" + ], + "赢": [ + "ㄧㄥ2" + ], + "赣": [ + "ㄍㄢ4" + ], + "赤": [ + "ㄔ4" + ], + "赥": [ + "ㄒㄧ1" + ], + "赦": [ + "ㄕㄜ4", + "ㄘㄜ4" + ], + "赧": [ + "ㄋㄢ3" + ], + "赨": [ + "ㄊㄨㄥ2", + "ㄒㄩㄥ2" + ], + "赩": [ + "ㄒㄧ4" + ], + "赪": [ + "ㄔㄥ1" + ], + "赫": [ + "ㄏㄜ4", + "ㄕ4" + ], + "赬": [ + "ㄔㄥ1" + ], + "赭": [ + "ㄓㄜ3" + ], + "赮": [ + "ㄒㄧㄚ2" + ], + "赯": [ + "ㄊㄤ2" + ], + "走": [ + "ㄗㄡ3" + ], + "赱": [ + "ㄗㄡ3" + ], + "赲": [ + "ㄌㄧ4" + ], + "赳": [ + "ㄐㄧㄡ1", + "ㄐㄧㄡ4" + ], + "赴": [ + "ㄈㄨ4" + ], + "赵": [ + "ㄓㄠ4" + ], + "赶": [ + "ㄍㄢ3", + "ㄑㄧㄢ2" + ], + "起": [ + "ㄑㄧ3" + ], + "赸": [ + "ㄕㄢ4" + ], + "赹": [ + "ㄑㄩㄥ2" + ], + "赺": [ + "ㄧㄣ3", + "ㄑㄧㄣ3" + ], + "赻": [ + "ㄒㄧㄢ3" + ], + "赼": [ + "ㄗ1" + ], + "赽": [ + "ㄐㄩㄝ2", + "ㄍㄨㄟ4" + ], + "赾": [ + "ㄑㄧㄣ3" + ], + "赿": [ + "ㄔ2", + "ㄉㄧ4" + ], + "趀": [ + "ㄘ1" + ], + "趁": [ + "ㄔㄣ4", + "ㄓㄣ1", + "ㄔㄣ2", + "ㄋㄧㄢ3", + "ㄓㄣ3" + ], + "趂": [ + "ㄔㄣ4" + ], + "趃": [ + "ㄉㄧㄝ2", + "ㄊㄨ2" + ], + "趄": [ + "ㄐㄩ1", + "ㄑㄧㄝ4" + ], + "超": [ + "ㄔㄠ1", + "ㄔㄠ3", + "ㄔㄠ4", + "ㄊㄧㄠ4" + ], + "趆": [ + "ㄉㄧ1" + ], + "趇": [ + "ㄒㄧ4" + ], + "趈": [ + "ㄓㄢ1" + ], + "趉": [ + "ㄐㄩㄝ2", + "ㄐㄩ2" + ], + "越": [ + "ㄩㄝ4", + "ㄏㄨㄛ2" + ], + "趋": [ + "ㄑㄩ1" + ], + "趌": [ + "ㄐㄧ2", + "ㄐㄧㄝ2" + ], + "趍": [ + "ㄔ2", + "ㄑㄩ1" + ], + "趎": [ + "ㄔㄨ2" + ], + "趏": [ + "ㄍㄨㄚ1", + "ㄏㄨㄛ2" + ], + "趐": [ + "ㄒㄩㄝ4", + "ㄔ4" + ], + "趑": [ + "ㄗ1", + "ㄘ4" + ], + "趒": [ + "ㄊㄧㄠ2", + "ㄊㄧㄠ4", + "ㄊㄧㄠ3" + ], + "趓": [ + "ㄉㄨㄛ3" + ], + "趔": [ + "ㄌㄧㄝ4" + ], + "趕": [ + "ㄍㄢ3" + ], + "趖": [ + "ㄙㄨㄛ1" + ], + "趗": [ + "ㄘㄨ4" + ], + "趘": [ + "ㄒㄧ2" + ], + "趙": [ + "ㄓㄠ4", + "ㄉㄧㄠ4" + ], + "趚": [ + "ㄙㄨ4" + ], + "趛": [ + "ㄧㄣ3" + ], + "趜": [ + "ㄐㄩ2", + "ㄑㄩ1", + "ㄑㄧㄡ2" + ], + "趝": [ + "ㄐㄧㄢ4" + ], + "趞": [ + "ㄑㄩㄝ4", + "ㄑㄧ4", + "ㄐㄧ2" + ], + "趟": [ + "ㄊㄤ4", + "ㄓㄥ1", + "ㄓㄥ4", + "ㄔㄥ2", + "ㄊㄤ1" + ], + "趠": [ + "ㄔㄨㄛ4", + "ㄔㄠ4", + "ㄊㄧㄠ4", + "ㄓㄨㄛ2" + ], + "趡": [ + "ㄘㄨㄟ3", + "ㄨㄟ3", + "ㄐㄩ4" + ], + "趢": [ + "ㄌㄨ4" + ], + "趣": [ + "ㄑㄩ4", + "ㄘㄨ4", + "ㄑㄩ1", + "ㄘㄡ3", + "ㄗㄡ1" + ], + "趤": [ + "ㄉㄤ4" + ], + "趥": [ + "ㄑㄧㄡ1", + "ㄘㄨ4" + ], + "趦": [ + "ㄗ1" + ], + "趧": [ + "ㄊㄧ2" + ], + "趨": [ + "ㄑㄩ1", + "ㄘㄨ4", + "ㄑㄩ4", + "ㄘㄡ3" + ], + "趩": [ + "ㄔ4" + ], + "趪": [ + "ㄏㄨㄤ2", + "ㄍㄨㄤ1" + ], + "趫": [ + "ㄑㄧㄠ2", + "ㄐㄧㄠ4", + "ㄔㄠ3" + ], + "趬": [ + "ㄑㄧㄠ1" + ], + "趭": [ + "ㄐㄧㄠ4" + ], + "趮": [ + "ㄗㄠ4" + ], + "趯": [ + "ㄊㄧ4", + "ㄩㄝ4", + "ㄧㄠ4" + ], + "趰": [ + "ㄦ3" + ], + "趱": [ + "ㄗㄢ3" + ], + "趲": [ + "ㄗㄢ3", + "ㄗㄨ1" + ], + "足": [ + "ㄗㄨ2", + "ㄐㄩ4" + ], + "趴": [ + "ㄆㄚ1" + ], + "趵": [ + "ㄅㄠ4", + "ㄅㄛ1", + "ㄓㄨㄛ2", + "ㄔㄨㄛ4", + "ㄆㄠ2" + ], + "趶": [ + "ㄎㄨ4", + "ㄨ1" + ], + "趷": [ + "ㄎㄜ1" + ], + "趸": [ + "ㄉㄨㄣ3" + ], + "趹": [ + "ㄐㄩㄝ2", + "ㄍㄨㄟ4" + ], + "趺": [ + "ㄈㄨ1" + ], + "趻": [ + "ㄔㄣ3" + ], + "趼": [ + "ㄐㄧㄢ3", + "ㄧㄢ4", + "ㄧㄢ2", + "ㄐㄧㄢ1" + ], + "趽": [ + "ㄈㄤ4", + "ㄆㄤ2", + "ㄈㄤ1" + ], + "趾": [ + "ㄓ3" + ], + "趿": [ + "ㄊㄚ1", + "ㄙㄚ4", + "ㄑㄧ4" + ], + "跀": [ + "ㄩㄝ4" + ], + "跁": [ + "ㄅㄚ4", + "ㄆㄚ2" + ], + "跂": [ + "ㄑㄧ2", + "ㄑㄧ3", + "ㄑㄧ4", + "ㄐㄧ1", + "ㄓ1" + ], + "跃": [ + "ㄩㄝ4" + ], + "跄": [ + "ㄑㄧㄤ1", + "ㄑㄧㄤ4" + ], + "跅": [ + "ㄊㄨㄛ4", + "ㄔ4" + ], + "跆": [ + "ㄊㄞ2" + ], + "跇": [ + "ㄧ4" + ], + "跈": [ + "ㄋㄧㄢ3", + "ㄐㄧㄢ4", + "ㄔㄣ2", + "ㄊㄧㄢ4" + ], + "跉": [ + "ㄌㄧㄥ2" + ], + "跊": [ + "ㄇㄟ4" + ], + "跋": [ + "ㄅㄚ2", + "ㄅㄟ4" + ], + "跌": [ + "ㄉㄧㄝ1", + "ㄉㄧㄝ2", + "ㄊㄨ2" + ], + "跍": [ + "ㄎㄨ1" + ], + "跎": [ + "ㄊㄨㄛ2" + ], + "跏": [ + "ㄐㄧㄚ1" + ], + "跐": [ + "ㄘ1", + "ㄘ3", + "ㄗ3" + ], + "跑": [ + "ㄆㄠ3", + "ㄆㄠ2", + "ㄅㄛ2" + ], + "跒": [ + "ㄑㄧㄚ3" + ], + "跓": [ + "ㄓㄨ4" + ], + "跔": [ + "ㄐㄩ1", + "ㄑㄩ3" + ], + "跕": [ + "ㄉㄧㄢ3", + "ㄊㄧㄝ1", + "ㄉㄧㄝ2", + "ㄓㄢ4", + "ㄉㄧㄝ1" + ], + "跖": [ + "ㄓ2" + ], + "跗": [ + "ㄈㄨ1", + "ㄈㄨ4" + ], + "跘": [ + "ㄆㄢ2", + "ㄅㄢ4" + ], + "跙": [ + "ㄐㄩ4", + "ㄑㄩ1", + "ㄑㄧㄝ3", + "ㄓㄨ4", + "ㄑㄧㄝ4" + ], + "跚": [ + "ㄕㄢ1" + ], + "跛": [ + "ㄅㄛ3", + "ㄅㄧ4", + "ㄆㄛ1" + ], + "跜": [ + "ㄋㄧ2" + ], + "距": [ + "ㄐㄩ4" + ], + "跞": [ + "ㄌㄧ4", + "ㄌㄨㄛ4" + ], + "跟": [ + "ㄍㄣ1" + ], + "跠": [ + "ㄧ2" + ], + "跡": [ + "ㄐㄧ1" + ], + "跢": [ + "ㄉㄨㄛ4", + "ㄉㄞ4", + "ㄉㄨㄛ1", + "ㄔ2" + ], + "跣": [ + "ㄒㄧㄢ3", + "ㄒㄧㄢ1", + "ㄙㄨㄣ3" + ], + "跤": [ + "ㄐㄧㄠ1", + "ㄑㄧㄠ1" + ], + "跥": [ + "ㄉㄨㄛ4" + ], + "跦": [ + "ㄓㄨ1", + "ㄔㄨ2" + ], + "跧": [ + "ㄑㄩㄢ2", + "ㄗㄨㄣ1" + ], + "跨": [ + "ㄎㄨㄚ4", + "ㄎㄨ4", + "ㄎㄨㄚ1", + "ㄎㄨㄚ3" + ], + "跩": [ + "ㄓㄨㄞ3", + "ㄕ4" + ], + "跪": [ + "ㄍㄨㄟ4" + ], + "跫": [ + "ㄑㄩㄥ2", + "ㄑㄧㄤ1", + "ㄑㄩㄥ1" + ], + "跬": [ + "ㄎㄨㄟ3", + "ㄒㄧㄝ4" + ], + "跭": [ + "ㄒㄧㄤ2" + ], + "跮": [ + "ㄔ4", + "ㄉㄧㄝ2" + ], + "路": [ + "ㄌㄨ4", + "ㄌㄨㄛ4" + ], + "跰": [ + "ㄆㄧㄢ2", + "ㄅㄥ4", + "ㄅㄧㄥ3" + ], + "跱": [ + "ㄓ4" + ], + "跲": [ + "ㄐㄧㄚ2", + "ㄐㄧㄝ2" + ], + "跳": [ + "ㄊㄧㄠ4", + "ㄉㄧㄠ4", + "ㄊㄠ2" + ], + "跴": [ + "ㄘㄞ3" + ], + "践": [ + "ㄐㄧㄢ4" + ], + "跶": [ + "ㄉㄚ2", + "ㄉㄚ5" + ], + "跷": [ + "ㄑㄧㄠ1" + ], + "跸": [ + "ㄅㄧ4" + ], + "跹": [ + "ㄒㄧㄢ1" + ], + "跺": [ + "ㄉㄨㄛ4" + ], + "跻": [ + "ㄐㄧ1" + ], + "跼": [ + "ㄐㄩ2", + "ㄑㄩ4" + ], + "跽": [ + "ㄐㄧ4" + ], + "跾": [ + "ㄕㄨ1", + "ㄔㄡ1" + ], + "跿": [ + "ㄊㄨ2", + "ㄉㄨㄛ2", + "ㄔㄨㄛ1" + ], + "踀": [ + "ㄔㄨ4", + "ㄘㄨ4" + ], + "踁": [ + "ㄐㄧㄥ4", + "ㄎㄥ1" + ], + "踂": [ + "ㄋㄧㄝ4" + ], + "踃": [ + "ㄒㄧㄠ1", + "ㄑㄧㄠ4" + ], + "踄": [ + "ㄅㄨ4" + ], + "踅": [ + "ㄒㄩㄝ2", + "ㄔ4" + ], + "踆": [ + "ㄘㄨㄣ1", + "ㄑㄩㄣ1", + "ㄘㄨㄣ2", + "ㄗㄨㄣ1", + "ㄑㄧㄡ4", + "ㄓㄨㄣ1" + ], + "踇": [ + "ㄇㄨ3" + ], + "踈": [ + "ㄕㄨ1" + ], + "踉": [ + "ㄌㄧㄤ2", + "ㄌㄧㄤ4", + "ㄌㄤ2", + "ㄌㄤ4" + ], + "踊": [ + "ㄩㄥ3" + ], + "踋": [ + "ㄐㄧㄠ3" + ], + "踌": [ + "ㄔㄡ2" + ], + "踍": [ + "ㄑㄧㄠ1" + ], + "踎": [ + "ㄇㄡ2" + ], + "踏": [ + "ㄊㄚ4", + "ㄊㄚ1" + ], + "踐": [ + "ㄐㄧㄢ4" + ], + "踑": [ + "ㄑㄧ2", + "ㄐㄧ1", + "ㄐㄧ4" + ], + "踒": [ + "ㄨㄛ1", + "ㄨㄟ1", + "ㄖㄨㄟ2" + ], + "踓": [ + "ㄨㄟ3", + "ㄘㄨ4" + ], + "踔": [ + "ㄔㄨㄛ1", + "ㄉㄧㄠ4", + "ㄓㄨㄛ1", + "ㄊㄧㄠ4", + "ㄔㄨㄛ4" + ], + "踕": [ + "ㄐㄧㄝ2" + ], + "踖": [ + "ㄐㄧ2", + "ㄑㄧ4", + "ㄑㄩㄝ4" + ], + "踗": [ + "ㄋㄧㄝ4" + ], + "踘": [ + "ㄐㄩ1" + ], + "踙": [ + "ㄋㄧㄝ4" + ], + "踚": [ + "ㄌㄨㄣ2" + ], + "踛": [ + "ㄌㄨ4" + ], + "踜": [ + "ㄌㄥ4", + "ㄌㄥ2", + "ㄔㄥ3" + ], + "踝": [ + "ㄏㄨㄞ2" + ], + "踞": [ + "ㄐㄩ4" + ], + "踟": [ + "ㄔ2" + ], + "踠": [ + "ㄨㄢ3", + "ㄨㄛ4" + ], + "踡": [ + "ㄑㄩㄢ2", + "ㄐㄩㄢ3" + ], + "踢": [ + "ㄊㄧ1", + "ㄉㄧㄝ2" + ], + "踣": [ + "ㄅㄛ2", + "ㄆㄡ4" + ], + "踤": [ + "ㄗㄨ2", + "ㄘㄨ4", + "ㄘㄨㄟ4" + ], + "踥": [ + "ㄑㄧㄝ4" + ], + "踦": [ + "ㄧ3", + "ㄑㄧ1", + "ㄐㄧ1", + "ㄐㄧ3", + "ㄧ4" + ], + "踧": [ + "ㄘㄨ4", + "ㄉㄧ2" + ], + "踨": [ + "ㄗㄨㄥ1" + ], + "踩": [ + "ㄘㄞ3", + "ㄎㄨㄟ2" + ], + "踪": [ + "ㄗㄨㄥ1" + ], + "踫": [ + "ㄆㄥ4", + "ㄆㄢ2" + ], + "踬": [ + "ㄓ4" + ], + "踭": [ + "ㄓㄥ1" + ], + "踮": [ + "ㄉㄧㄢ3" + ], + "踯": [ + "ㄓ2" + ], + "踰": [ + "ㄩ2", + "ㄧㄠ2", + "ㄔㄨ1" + ], + "踱": [ + "ㄉㄨㄛ2", + "ㄔㄨㄛ4", + "ㄉㄨㄛ4" + ], + "踲": [ + "ㄉㄨㄣ4" + ], + "踳": [ + "ㄔㄨㄢ3", + "ㄔㄨㄣ3", + "ㄔㄨㄣ1" + ], + "踴": [ + "ㄩㄥ3" + ], + "踵": [ + "ㄓㄨㄥ3", + "ㄓㄨㄥ4" + ], + "踶": [ + "ㄉㄧ4", + "ㄓ4", + "ㄊㄧ2", + "ㄔ2", + "ㄕ4" + ], + "踷": [ + "ㄓㄚ3" + ], + "踸": [ + "ㄔㄣ3" + ], + "踹": [ + "ㄔㄨㄞ4", + "ㄕㄨㄢ4", + "ㄉㄨㄢ4", + "ㄔㄨㄢ3" + ], + "踺": [ + "ㄐㄧㄢ4" + ], + "踻": [ + "ㄍㄨㄚ1", + "ㄍㄨㄚ3", + "ㄊㄨㄛ2" + ], + "踼": [ + "ㄊㄤ2", + "ㄊㄤ3", + "ㄕㄤ1" + ], + "踽": [ + "ㄐㄩ3" + ], + "踾": [ + "ㄈㄨ2", + "ㄅㄧ4" + ], + "踿": [ + "ㄗㄨ2" + ], + "蹀": [ + "ㄉㄧㄝ2" + ], + "蹁": [ + "ㄆㄧㄢ2" + ], + "蹂": [ + "ㄖㄡ2", + "ㄖㄡ3" + ], + "蹃": [ + "ㄋㄨㄛ4", + "ㄖㄜ4", + "ㄋㄚ4" + ], + "蹄": [ + "ㄊㄧ2", + "ㄉㄧ4" + ], + "蹅": [ + "ㄔㄚ3", + "ㄓㄚ1" + ], + "蹆": [ + "ㄊㄨㄟ3" + ], + "蹇": [ + "ㄐㄧㄢ3" + ], + "蹈": [ + "ㄉㄠ3" + ], + "蹉": [ + "ㄘㄨㄛ1" + ], + "蹊": [ + "ㄑㄧ1", + "ㄒㄧ1" + ], + "蹋": [ + "ㄊㄚ4" + ], + "蹌": [ + "ㄑㄧㄤ1", + "ㄑㄧㄤ4" + ], + "蹍": [ + "ㄋㄧㄢ3", + "ㄓㄢ3", + "ㄔㄢ2" + ], + "蹎": [ + "ㄉㄧㄢ1" + ], + "蹏": [ + "ㄊㄧ2" + ], + "蹐": [ + "ㄐㄧ2" + ], + "蹑": [ + "ㄋㄧㄝ4" + ], + "蹒": [ + "ㄆㄢ2", + "ㄇㄢ2" + ], + "蹓": [ + "ㄌㄧㄡ1", + "ㄌㄧㄡ4" + ], + "蹔": [ + "ㄗㄢ4", + "ㄘㄢ2" + ], + "蹕": [ + "ㄅㄧ4" + ], + "蹖": [ + "ㄔㄨㄥ1" + ], + "蹗": [ + "ㄌㄨ4" + ], + "蹘": [ + "ㄌㄧㄠ2" + ], + "蹙": [ + "ㄘㄨ4" + ], + "蹚": [ + "ㄊㄤ1", + "ㄊㄤ4", + "ㄔㄥ1" + ], + "蹛": [ + "ㄉㄞ4", + "ㄉㄧㄝ1", + "ㄉㄢ1", + "ㄓ4" + ], + "蹜": [ + "ㄙㄨ4" + ], + "蹝": [ + "ㄒㄧ3" + ], + "蹞": [ + "ㄎㄨㄟ3" + ], + "蹟": [ + "ㄐㄧ1" + ], + "蹠": [ + "ㄓ2", + "ㄓㄨㄛ2" + ], + "蹡": [ + "ㄑㄧㄤ1", + "ㄑㄧㄤ4" + ], + "蹢": [ + "ㄉㄧ2", + "ㄓ2" + ], + "蹣": [ + "ㄆㄢ2", + "ㄇㄢ2", + "ㄌㄧㄤ3" + ], + "蹤": [ + "ㄗㄨㄥ1" + ], + "蹥": [ + "ㄌㄧㄢ2" + ], + "蹦": [ + "ㄅㄥ4" + ], + "蹧": [ + "ㄗㄠ1" + ], + "蹨": [ + "ㄋㄧㄢ3", + "ㄖㄢ3" + ], + "蹩": [ + "ㄅㄧㄝ2" + ], + "蹪": [ + "ㄊㄨㄟ2" + ], + "蹫": [ + "ㄐㄩ2" + ], + "蹬": [ + "ㄉㄥ1", + "ㄉㄥ4" + ], + "蹭": [ + "ㄘㄥ4", + "ㄘㄥ2" + ], + "蹮": [ + "ㄒㄧㄢ1" + ], + "蹯": [ + "ㄈㄢ2" + ], + "蹰": [ + "ㄔㄨ2" + ], + "蹱": [ + "ㄓㄨㄥ1", + "ㄔㄨㄥ4" + ], + "蹲": [ + "ㄉㄨㄣ1", + "ㄗㄨㄣ2", + "ㄘㄨㄣ2", + "ㄗㄨㄣ1", + "ㄘㄨㄣ3", + "ㄘㄨㄢ2", + "ㄑㄩㄣ3" + ], + "蹳": [ + "ㄅㄛ1" + ], + "蹴": [ + "ㄘㄨ4", + "ㄗㄨ2", + "ㄐㄧㄡ5" + ], + "蹵": [ + "ㄘㄨ4" + ], + "蹶": [ + "ㄐㄩㄝ2", + "ㄐㄩㄝ3", + "ㄍㄨㄟ4" + ], + "蹷": [ + "ㄐㄩㄝ2" + ], + "蹸": [ + "ㄌㄧㄣ4", + "ㄌㄧㄣ2" + ], + "蹹": [ + "ㄊㄚ2" + ], + "蹺": [ + "ㄑㄧㄠ1", + "ㄑㄧㄠ4" + ], + "蹻": [ + "ㄐㄩㄝ1", + "ㄑㄧㄠ1", + "ㄐㄧㄠ3", + "ㄐㄩㄝ2", + "ㄐㄩ2", + "ㄒㄩㄝ4" + ], + "蹼": [ + "ㄆㄨ3" + ], + "蹽": [ + "ㄌㄧㄠ1" + ], + "蹾": [ + "ㄉㄨㄣ1" + ], + "蹿": [ + "ㄘㄨㄢ1" + ], + "躀": [ + "ㄍㄨㄢ4" + ], + "躁": [ + "ㄗㄠ4" + ], + "躂": [ + "ㄉㄚ2" + ], + "躃": [ + "ㄅㄧ4" + ], + "躄": [ + "ㄅㄧ4" + ], + "躅": [ + "ㄓㄨ2", + "ㄓㄨㄛ2" + ], + "躆": [ + "ㄐㄩ4" + ], + "躇": [ + "ㄔㄨ2", + "ㄔㄨㄛ4" + ], + "躈": [ + "ㄑㄧㄠ4" + ], + "躉": [ + "ㄉㄨㄣ3" + ], + "躊": [ + "ㄔㄡ2" + ], + "躋": [ + "ㄐㄧ1" + ], + "躌": [ + "ㄨ3" + ], + "躍": [ + "ㄩㄝ4", + "ㄊㄧ4" + ], + "躎": [ + "ㄋㄧㄢ3" + ], + "躏": [ + "ㄌㄧㄣ4" + ], + "躐": [ + "ㄌㄧㄝ4" + ], + "躑": [ + "ㄓ2" + ], + "躒": [ + "ㄌㄧ4", + "ㄩㄝ4", + "ㄌㄨㄛ4" + ], + "躓": [ + "ㄓ4", + "ㄓ1" + ], + "躔": [ + "ㄔㄢ2", + "ㄓㄢ4" + ], + "躕": [ + "ㄔㄨ2" + ], + "躖": [ + "ㄉㄨㄢ4" + ], + "躗": [ + "ㄨㄟ4" + ], + "躘": [ + "ㄌㄨㄥ2", + "ㄌㄨㄥ3" + ], + "躙": [ + "ㄌㄧㄣ4" + ], + "躚": [ + "ㄒㄧㄢ1" + ], + "躛": [ + "ㄨㄟ4" + ], + "躜": [ + "ㄗㄨㄢ1" + ], + "躝": [ + "ㄌㄢ2" + ], + "躞": [ + "ㄒㄧㄝ4" + ], + "躟": [ + "ㄖㄤ2" + ], + "躠": [ + "ㄙㄚ3", + "ㄒㄧㄝ4" + ], + "躡": [ + "ㄋㄧㄝ4" + ], + "躢": [ + "ㄊㄚ4" + ], + "躣": [ + "ㄑㄩ2" + ], + "躤": [ + "ㄐㄧ2" + ], + "躥": [ + "ㄘㄨㄢ1" + ], + "躦": [ + "ㄘㄨㄛ2", + "ㄗㄨㄢ1" + ], + "躧": [ + "ㄒㄧ3" + ], + "躨": [ + "ㄎㄨㄟ2" + ], + "躩": [ + "ㄐㄩㄝ2", + "ㄑㄧ4" + ], + "躪": [ + "ㄌㄧㄣ4" + ], + "身": [ + "ㄕㄣ1", + "ㄐㄩㄢ1" + ], + "躬": [ + "ㄍㄨㄥ1" + ], + "躭": [ + "ㄉㄢ1" + ], + "躮": [ + "ㄈㄣ1" + ], + "躯": [ + "ㄑㄩ1" + ], + "躰": [ + "ㄊㄧ3" + ], + "躱": [ + "ㄉㄨㄛ3" + ], + "躲": [ + "ㄉㄨㄛ3" + ], + "躳": [ + "ㄍㄨㄥ1" + ], + "躴": [ + "ㄌㄤ2" + ], + "躵": [ + "ㄖㄣ3" + ], + "躶": [ + "ㄌㄨㄛ3" + ], + "躷": [ + "ㄞ3" + ], + "躸": [ + "ㄐㄧ1" + ], + "躹": [ + "ㄐㄩ2" + ], + "躺": [ + "ㄊㄤ3", + "ㄊㄤ4" + ], + "躻": [ + "ㄎㄨㄥ1" + ], + "躼": [ + "ㄌㄠ4" + ], + "躽": [ + "ㄧㄢ3", + "ㄧㄢ4" + ], + "躾": [ + "ㄇㄟ3" + ], + "躿": [ + "ㄎㄤ1" + ], + "軀": [ + "ㄑㄩ1" + ], + "軁": [ + "ㄌㄡ2", + "ㄌㄩ3" + ], + "軂": [ + "ㄌㄠ4" + ], + "軃": [ + "ㄉㄨㄛ3", + "ㄊㄨㄛ3" + ], + "軄": [ + "ㄓ2" + ], + "軅": [ + "ㄧㄢ4" + ], + "軆": [ + "ㄊㄧ3" + ], + "軇": [ + "ㄉㄠ4" + ], + "軈": [ + "ㄧㄥ1" + ], + "軉": [ + "ㄩ4" + ], + "車": [ + "ㄔㄜ1", + "ㄐㄩ1" + ], + "軋": [ + "ㄧㄚ4", + "ㄓㄚ2", + "ㄍㄚ2" + ], + "軌": [ + "ㄍㄨㄟ3" + ], + "軍": [ + "ㄐㄩㄣ1" + ], + "軎": [ + "ㄨㄟ4" + ], + "軏": [ + "ㄩㄝ4" + ], + "軐": [ + "ㄒㄧㄣ4", + "ㄒㄧㄢ4" + ], + "軑": [ + "ㄉㄞ4" + ], + "軒": [ + "ㄒㄩㄢ1", + "ㄒㄧㄢ3", + "ㄒㄧㄢ4", + "ㄏㄢ3", + "ㄐㄧㄢ1" + ], + "軓": [ + "ㄈㄢ4" + ], + "軔": [ + "ㄖㄣ4" + ], + "軕": [ + "ㄕㄢ1" + ], + "軖": [ + "ㄎㄨㄤ2" + ], + "軗": [ + "ㄕㄨ1" + ], + "軘": [ + "ㄊㄨㄣ2" + ], + "軙": [ + "ㄔㄣ2", + "ㄑㄧ2" + ], + "軚": [ + "ㄉㄞ4" + ], + "軛": [ + "ㄜ4" + ], + "軜": [ + "ㄋㄚ4" + ], + "軝": [ + "ㄑㄧ2" + ], + "軞": [ + "ㄇㄠ2" + ], + "軟": [ + "ㄖㄨㄢ3" + ], + "軠": [ + "ㄎㄨㄤ2" + ], + "軡": [ + "ㄑㄧㄢ2" + ], + "転": [ + "ㄓㄨㄢ3" + ], + "軣": [ + "ㄏㄨㄥ1" + ], + "軤": [ + "ㄏㄨ1" + ], + "軥": [ + "ㄑㄩ2", + "ㄍㄡ1", + "ㄍㄡ4", + "ㄐㄩ1" + ], + "軦": [ + "ㄎㄨㄤ4" + ], + "軧": [ + "ㄉㄧ3", + "ㄔ2" + ], + "軨": [ + "ㄌㄧㄥ2", + "ㄌㄧㄥ3" + ], + "軩": [ + "ㄉㄞ4" + ], + "軪": [ + "ㄠ1", + "ㄠ4" + ], + "軫": [ + "ㄓㄣ3" + ], + "軬": [ + "ㄈㄢ4", + "ㄅㄣ4" + ], + "軭": [ + "ㄎㄨㄤ1" + ], + "軮": [ + "ㄧㄤ3" + ], + "軯": [ + "ㄆㄥ1" + ], + "軰": [ + "ㄅㄟ4" + ], + "軱": [ + "ㄍㄨ1" + ], + "軲": [ + "ㄍㄨ1" + ], + "軳": [ + "ㄆㄠ2" + ], + "軴": [ + "ㄓㄨ4" + ], + "軵": [ + "ㄖㄨㄥ3", + "ㄈㄨ3", + "ㄈㄨ4", + "ㄖㄨㄥ2" + ], + "軶": [ + "ㄜ4" + ], + "軷": [ + "ㄅㄚ2" + ], + "軸": [ + "ㄓㄡ2", + "ㄓㄨ2", + "ㄓㄡ4" + ], + "軹": [ + "ㄓ3" + ], + "軺": [ + "ㄧㄠ2", + "ㄉㄧㄠ1" + ], + "軻": [ + "ㄎㄜ1" + ], + "軼": [ + "ㄧ4", + "ㄉㄧㄝ2", + "ㄓㄜ2" + ], + "軽": [ + "ㄓ4", + "ㄑㄧㄥ1" + ], + "軾": [ + "ㄕ4" + ], + "軿": [ + "ㄆㄧㄥ2" + ], + "輀": [ + "ㄦ2" + ], + "輁": [ + "ㄍㄨㄥ3" + ], + "輂": [ + "ㄐㄩ2" + ], + "較": [ + "ㄐㄧㄠ4", + "ㄐㄩㄝ2", + "ㄒㄧㄠ4" + ], + "輄": [ + "ㄍㄨㄤ1" + ], + "輅": [ + "ㄏㄜ2", + "ㄌㄨ4", + "ㄧㄚ4" + ], + "輆": [ + "ㄎㄞ3", + "ㄎㄞ4" + ], + "輇": [ + "ㄑㄩㄢ2", + "ㄔㄨㄣ1" + ], + "輈": [ + "ㄓㄡ1" + ], + "載": [ + "ㄗㄞ4", + "ㄗㄞ3", + "ㄉㄞ4", + "ㄗㄞ1", + "ㄗ1" + ], + "輊": [ + "ㄓ4" + ], + "輋": [ + "ㄕㄜ1" + ], + "輌": [ + "ㄌㄧㄤ4" + ], + "輍": [ + "ㄩ4" + ], + "輎": [ + "ㄕㄠ1" + ], + "輏": [ + "ㄧㄡ2" + ], + "輐": [ + "ㄨㄢ4", + "ㄩㄢ3" + ], + "輑": [ + "ㄧㄣ3", + "ㄑㄩㄣ1" + ], + "輒": [ + "ㄓㄜ2" + ], + "輓": [ + "ㄨㄢ3" + ], + "輔": [ + "ㄈㄨ3" + ], + "輕": [ + "ㄑㄧㄥ1", + "ㄑㄧㄥ4" + ], + "輖": [ + "ㄓㄡ1" + ], + "輗": [ + "ㄋㄧ2", + "ㄧ4" + ], + "輘": [ + "ㄌㄥ2", + "ㄌㄧㄥ2", + "ㄌㄥ4" + ], + "輙": [ + "ㄓㄜ2" + ], + "輚": [ + "ㄓㄢ4" + ], + "輛": [ + "ㄌㄧㄤ4" + ], + "輜": [ + "ㄗ1", + "ㄗ4" + ], + "輝": [ + "ㄏㄨㄟ1" + ], + "輞": [ + "ㄨㄤ3" + ], + "輟": [ + "ㄔㄨㄛ4" + ], + "輠": [ + "ㄍㄨㄛ3", + "ㄏㄨㄚ4", + "ㄏㄨㄟ4" + ], + "輡": [ + "ㄎㄢ3" + ], + "輢": [ + "ㄧ3" + ], + "輣": [ + "ㄆㄥ2" + ], + "輤": [ + "ㄑㄧㄢ4" + ], + "輥": [ + "ㄍㄨㄣ3" + ], + "輦": [ + "ㄋㄧㄢ3", + "ㄌㄧㄢ3" + ], + "輧": [ + "ㄆㄧㄥ2", + "ㄆㄥ1" + ], + "輨": [ + "ㄍㄨㄢ3" + ], + "輩": [ + "ㄅㄟ4" + ], + "輪": [ + "ㄌㄨㄣ2" + ], + "輫": [ + "ㄆㄞ2" + ], + "輬": [ + "ㄌㄧㄤ2" + ], + "輭": [ + "ㄖㄨㄢ3", + "ㄦ2" + ], + "輮": [ + "ㄖㄡ2", + "ㄖㄡ3" + ], + "輯": [ + "ㄐㄧ2" + ], + "輰": [ + "ㄧㄤ2" + ], + "輱": [ + "ㄒㄧㄢ2", + "ㄎㄢ4" + ], + "輲": [ + "ㄔㄨㄢ2" + ], + "輳": [ + "ㄘㄡ4" + ], + "輴": [ + "ㄔㄨㄣ1", + "ㄕㄨㄣ3" + ], + "輵": [ + "ㄍㄜ2", + "ㄧㄚ4", + "ㄜ4", + "ㄑㄧㄝ4" + ], + "輶": [ + "ㄧㄡ2" + ], + "輷": [ + "ㄏㄨㄥ1" + ], + "輸": [ + "ㄕㄨ1", + "ㄕㄨ4" + ], + "輹": [ + "ㄈㄨ4", + "ㄅㄨ2" + ], + "輺": [ + "ㄗ1" + ], + "輻": [ + "ㄈㄨ2" + ], + "輼": [ + "ㄨㄣ1", + "ㄩㄣ1" + ], + "輽": [ + "ㄅㄣ4" + ], + "輾": [ + "ㄓㄢ3", + "ㄋㄧㄢ3" + ], + "輿": [ + "ㄩ2", + "ㄩ4" + ], + "轀": [ + "ㄨㄣ1" + ], + "轁": [ + "ㄊㄠ1", + "ㄎㄢ3" + ], + "轂": [ + "ㄍㄨ3", + "ㄍㄨ1" + ], + "轃": [ + "ㄓㄣ1" + ], + "轄": [ + "ㄒㄧㄚ2", + "ㄏㄜ2" + ], + "轅": [ + "ㄩㄢ2" + ], + "轆": [ + "ㄌㄨ4" + ], + "轇": [ + "ㄐㄧㄠ1", + "ㄒㄧㄠ3" + ], + "轈": [ + "ㄔㄠ2" + ], + "轉": [ + "ㄓㄨㄢ3", + "ㄓㄨㄢ4", + "ㄓㄨㄞ3" + ], + "轊": [ + "ㄨㄟ4" + ], + "轋": [ + "ㄏㄨㄣ2" + ], + "轌": [ + "ㄒㄩㄝ3" + ], + "轍": [ + "ㄓㄜ2" + ], + "轎": [ + "ㄐㄧㄠ4" + ], + "轏": [ + "ㄓㄢ4" + ], + "轐": [ + "ㄅㄨ2" + ], + "轑": [ + "ㄌㄠ3", + "ㄌㄠ2", + "ㄌㄧㄠ2", + "ㄌㄧㄠ3", + "ㄌㄧㄠ4" + ], + "轒": [ + "ㄈㄣ2" + ], + "轓": [ + "ㄈㄢ1" + ], + "轔": [ + "ㄌㄧㄣ2", + "ㄌㄧㄣ4" + ], + "轕": [ + "ㄍㄜ2" + ], + "轖": [ + "ㄙㄜ4" + ], + "轗": [ + "ㄎㄢ3" + ], + "轘": [ + "ㄏㄨㄢ2", + "ㄏㄨㄢ4" + ], + "轙": [ + "ㄧ3" + ], + "轚": [ + "ㄐㄧ2" + ], + "轛": [ + "ㄓㄨㄟ4" + ], + "轜": [ + "ㄦ2" + ], + "轝": [ + "ㄩ4" + ], + "轞": [ + "ㄐㄧㄢ4" + ], + "轟": [ + "ㄏㄨㄥ1" + ], + "轠": [ + "ㄌㄟ2" + ], + "轡": [ + "ㄆㄟ4" + ], + "轢": [ + "ㄌㄧ4" + ], + "轣": [ + "ㄌㄧ4" + ], + "轤": [ + "ㄌㄨ2" + ], + "轥": [ + "ㄌㄧㄣ4" + ], + "车": [ + "ㄔㄜ1", + "ㄐㄩ1" + ], + "轧": [ + "ㄧㄚ4", + "ㄓㄚ2", + "ㄍㄚ2" + ], + "轨": [ + "ㄍㄨㄟ3" + ], + "轩": [ + "ㄒㄩㄢ1" + ], + "轪": [ + "ㄉㄞ4" + ], + "轫": [ + "ㄖㄣ4" + ], + "转": [ + "ㄓㄨㄢ3", + "ㄓㄨㄢ4", + "ㄓㄨㄞ3" + ], + "轭": [ + "ㄜ4" + ], + "轮": [ + "ㄌㄨㄣ2" + ], + "软": [ + "ㄖㄨㄢ3" + ], + "轰": [ + "ㄏㄨㄥ1" + ], + "轱": [ + "ㄍㄨ1" + ], + "轲": [ + "ㄎㄜ1", + "ㄎㄜ3" + ], + "轳": [ + "ㄌㄨ2" + ], + "轴": [ + "ㄓㄡ2", + "ㄓㄡ4" + ], + "轵": [ + "ㄓ3" + ], + "轶": [ + "ㄧ4" + ], + "轷": [ + "ㄏㄨ1" + ], + "轸": [ + "ㄓㄣ3" + ], + "轹": [ + "ㄌㄧ4" + ], + "轺": [ + "ㄧㄠ2" + ], + "轻": [ + "ㄑㄧㄥ1" + ], + "轼": [ + "ㄕ4" + ], + "载": [ + "ㄗㄞ4", + "ㄗㄞ3" + ], + "轾": [ + "ㄓ4" + ], + "轿": [ + "ㄐㄧㄠ4" + ], + "辀": [ + "ㄓㄡ1" + ], + "辁": [ + "ㄑㄩㄢ2" + ], + "辂": [ + "ㄌㄨ4" + ], + "较": [ + "ㄐㄧㄠ4" + ], + "辄": [ + "ㄓㄜ2" + ], + "辅": [ + "ㄈㄨ3" + ], + "辆": [ + "ㄌㄧㄤ4" + ], + "辇": [ + "ㄋㄧㄢ3" + ], + "辈": [ + "ㄅㄟ4" + ], + "辉": [ + "ㄏㄨㄟ1" + ], + "辊": [ + "ㄍㄨㄣ3" + ], + "辋": [ + "ㄨㄤ3" + ], + "辌": [ + "ㄌㄧㄤ2" + ], + "辍": [ + "ㄔㄨㄛ4" + ], + "辎": [ + "ㄗ1" + ], + "辏": [ + "ㄘㄡ4" + ], + "辐": [ + "ㄈㄨ2" + ], + "辑": [ + "ㄐㄧ2" + ], + "辒": [ + "ㄨㄣ1" + ], + "输": [ + "ㄕㄨ1" + ], + "辔": [ + "ㄆㄟ4" + ], + "辕": [ + "ㄩㄢ2" + ], + "辖": [ + "ㄒㄧㄚ2" + ], + "辗": [ + "ㄋㄧㄢ3", + "ㄓㄢ3" + ], + "辘": [ + "ㄌㄨ4" + ], + "辙": [ + "ㄓㄜ2" + ], + "辚": [ + "ㄌㄧㄣ2" + ], + "辛": [ + "ㄒㄧㄣ1" + ], + "辜": [ + "ㄍㄨ1" + ], + "辝": [ + "ㄘ2" + ], + "辞": [ + "ㄘ2" + ], + "辟": [ + "ㄆㄧ4", + "ㄅㄧ4", + "ㄇㄧ3", + "ㄆㄧ1" + ], + "辠": [ + "ㄗㄨㄟ4", + "ㄗㄨㄟ1" + ], + "辡": [ + "ㄅㄧㄢ4" + ], + "辢": [ + "ㄌㄚ4" + ], + "辣": [ + "ㄌㄚ4" + ], + "辤": [ + "ㄘ2" + ], + "辥": [ + "ㄒㄩㄝ1", + "ㄧ4" + ], + "辦": [ + "ㄅㄢ4" + ], + "辧": [ + "ㄅㄧㄢ4" + ], + "辨": [ + "ㄅㄧㄢ4", + "ㄅㄧㄢ3", + "ㄅㄢ4", + "ㄆㄧㄢ4" + ], + "辩": [ + "ㄅㄧㄢ4" + ], + "辪": [ + "ㄒㄩㄝ1" + ], + "辫": [ + "ㄅㄧㄢ4" + ], + "辬": [ + "ㄅㄢ1" + ], + "辭": [ + "ㄘ2" + ], + "辮": [ + "ㄅㄧㄢ4" + ], + "辯": [ + "ㄅㄧㄢ4", + "ㄆㄧㄢ2", + "ㄅㄧㄢ3", + "ㄅㄢ4" + ], + "辰": [ + "ㄔㄣ2" + ], + "辱": [ + "ㄖㄨ3" + ], + "農": [ + "ㄋㄨㄥ2" + ], + "辳": [ + "ㄋㄨㄥ2" + ], + "辴": [ + "ㄔㄢ3", + "ㄓㄣ3" + ], + "辵": [ + "ㄔㄨㄛ4" + ], + "辶": [ + "ㄔㄨㄛ4" + ], + "辷": [ + "ㄧ1" + ], + "辸": [ + "ㄖㄥ2" + ], + "边": [ + "ㄅㄧㄢ1", + "ㄅㄧㄢ5" + ], + "辺": [ + "ㄅㄧㄢ1" + ], + "辻": [ + "ㄕ2" + ], + "込": [ + "ㄩ1" + ], + "辽": [ + "ㄌㄧㄠ2" + ], + "达": [ + "ㄉㄚ2", + "ㄊㄧ4", + "ㄊㄚ4" + ], + "辿": [ + "ㄔㄢ1", + "ㄔㄢ2" + ], + "迀": [ + "ㄍㄢ1" + ], + "迁": [ + "ㄑㄧㄢ1" + ], + "迂": [ + "ㄩ1" + ], + "迃": [ + "ㄩ1" + ], + "迄": [ + "ㄑㄧ4" + ], + "迅": [ + "ㄒㄩㄣ4" + ], + "迆": [ + "ㄧ2", + "ㄧ3", + "ㄊㄨㄛ2" + ], + "过": [ + "ㄍㄨㄛ4", + "ㄍㄨㄛ1" + ], + "迈": [ + "ㄇㄞ4" + ], + "迉": [ + "ㄑㄧ1" + ], + "迊": [ + "ㄗㄚ1" + ], + "迋": [ + "ㄨㄤ4", + "ㄍㄨㄤ4", + "ㄎㄨㄤ2" + ], + "迌": [ + "ㄊㄨ4" + ], + "迍": [ + "ㄓㄨㄣ1" + ], + "迎": [ + "ㄧㄥ2", + "ㄧㄥ4" + ], + "迏": [ + "ㄉㄚ2" + ], + "运": [ + "ㄩㄣ4", + "ㄩㄣ3" + ], + "近": [ + "ㄐㄧㄣ4" + ], + "迒": [ + "ㄏㄤ2", + "ㄒㄧㄤ2" + ], + "迓": [ + "ㄧㄚ4" + ], + "返": [ + "ㄈㄢ3" + ], + "迕": [ + "ㄨ4", + "ㄨ3" + ], + "迖": [ + "ㄉㄚ2" + ], + "迗": [ + "ㄜ2" + ], + "还": [ + "ㄏㄞ2", + "ㄏㄨㄢ2", + "ㄈㄨ2" + ], + "这": [ + "ㄓㄜ4", + "ㄓㄟ4" + ], + "迚": [ + "ㄉㄚ2" + ], + "进": [ + "ㄐㄧㄣ4" + ], + "远": [ + "ㄩㄢ3" + ], + "违": [ + "ㄨㄟ2" + ], + "连": [ + "ㄌㄧㄢ2" + ], + "迟": [ + "ㄔ2" + ], + "迠": [ + "ㄔㄜ4" + ], + "迡": [ + "ㄋㄧ4", + "ㄔ2" + ], + "迢": [ + "ㄊㄧㄠ2" + ], + "迣": [ + "ㄓ4", + "ㄔ4" + ], + "迤": [ + "ㄧ2", + "ㄧ3", + "ㄊㄨㄛ2" + ], + "迥": [ + "ㄐㄩㄥ3" + ], + "迦": [ + "ㄐㄧㄚ1", + "ㄒㄧㄝ4" + ], + "迧": [ + "ㄔㄣ2" + ], + "迨": [ + "ㄉㄞ4" + ], + "迩": [ + "ㄦ3" + ], + "迪": [ + "ㄉㄧ2" + ], + "迫": [ + "ㄆㄛ4", + "ㄆㄞ3" + ], + "迬": [ + "ㄓㄨ4", + "ㄨㄤ3" + ], + "迭": [ + "ㄉㄧㄝ2", + "ㄧ4", + "ㄉㄚ2" + ], + "迮": [ + "ㄗㄜ2", + "ㄗㄨㄛ4" + ], + "迯": [ + "ㄊㄠ2" + ], + "述": [ + "ㄕㄨ4" + ], + "迱": [ + "ㄊㄨㄛ2", + "ㄧ2" + ], + "迲": [ + "ㄑㄩ5" + ], + "迳": [ + "ㄐㄧㄥ4" + ], + "迴": [ + "ㄏㄨㄟ2" + ], + "迵": [ + "ㄉㄨㄥ4" + ], + "迶": [ + "ㄧㄡ4" + ], + "迷": [ + "ㄇㄧ2", + "ㄇㄧ4" + ], + "迸": [ + "ㄅㄥ4" + ], + "迹": [ + "ㄐㄧ4", + "ㄐㄧ1" + ], + "迺": [ + "ㄋㄞ3" + ], + "迻": [ + "ㄧ2" + ], + "迼": [ + "ㄐㄧㄝ2" + ], + "追": [ + "ㄓㄨㄟ1", + "ㄉㄨㄟ1", + "ㄊㄨㄟ1" + ], + "迾": [ + "ㄌㄧㄝ4" + ], + "迿": [ + "ㄒㄩㄣ4" + ], + "退": [ + "ㄊㄨㄟ4" + ], + "送": [ + "ㄙㄨㄥ4" + ], + "适": [ + "ㄕ4", + "ㄎㄨㄛ4" + ], + "逃": [ + "ㄊㄠ2" + ], + "逄": [ + "ㄆㄤ2", + "ㄈㄥ2" + ], + "逅": [ + "ㄏㄡ4" + ], + "逆": [ + "ㄋㄧ4" + ], + "逇": [ + "ㄉㄨㄣ4" + ], + "逈": [ + "ㄐㄩㄥ3" + ], + "选": [ + "ㄒㄩㄢ3" + ], + "逊": [ + "ㄒㄩㄣ4" + ], + "逋": [ + "ㄅㄨ1" + ], + "逌": [ + "ㄧㄡ1", + "ㄧㄡ2" + ], + "逍": [ + "ㄒㄧㄠ1" + ], + "逎": [ + "ㄑㄧㄡ2" + ], + "透": [ + "ㄊㄡ4", + "ㄕㄨ1" + ], + "逐": [ + "ㄓㄨ2", + "ㄉㄧ2", + "ㄓㄡ4", + "ㄊㄨㄣ2" + ], + "逑": [ + "ㄑㄧㄡ2" + ], + "递": [ + "ㄉㄧ4" + ], + "逓": [ + "ㄉㄧ4" + ], + "途": [ + "ㄊㄨ2" + ], + "逕": [ + "ㄐㄧㄥ4" + ], + "逖": [ + "ㄊㄧ4" + ], + "逗": [ + "ㄉㄡ4", + "ㄓㄨ4", + "ㄊㄡ2", + "ㄑㄧ2" + ], + "逘": [ + "ㄧ3", + "ㄙ4" + ], + "這": [ + "ㄓㄜ4", + "ㄧㄢ4", + "ㄓㄟ4" + ], + "通": [ + "ㄊㄨㄥ1", + "ㄊㄨㄥ4" + ], + "逛": [ + "ㄍㄨㄤ4", + "ㄎㄨㄤ2" + ], + "逜": [ + "ㄨ4", + "ㄨ3" + ], + "逝": [ + "ㄕ4" + ], + "逞": [ + "ㄔㄥ3", + "ㄧㄥ2" + ], + "速": [ + "ㄙㄨ4" + ], + "造": [ + "ㄗㄠ4", + "ㄘㄠ4", + "ㄘㄠ1" + ], + "逡": [ + "ㄑㄩㄣ1", + "ㄒㄩㄣ4", + "ㄙㄨㄛ1" + ], + "逢": [ + "ㄈㄥ2", + "ㄆㄥ2", + "ㄆㄤ2" + ], + "連": [ + "ㄌㄧㄢ2", + "ㄌㄧㄢ3", + "ㄌㄧㄢ4", + "ㄌㄢ4" + ], + "逤": [ + "ㄙㄨㄛ4" + ], + "逥": [ + "ㄏㄨㄟ2" + ], + "逦": [ + "ㄌㄧ3" + ], + "逧": [ + "ㄍㄨ3" + ], + "逨": [ + "ㄌㄞ2", + "ㄌㄞ4" + ], + "逩": [ + "ㄅㄣ4", + "ㄅㄣ1" + ], + "逪": [ + "ㄘㄨㄛ4" + ], + "逫": [ + "ㄐㄩㄝ2", + "ㄓㄨ2" + ], + "逬": [ + "ㄅㄥ4", + "ㄆㄥ1" + ], + "逭": [ + "ㄏㄨㄢ4" + ], + "逮": [ + "ㄉㄞ3", + "ㄉㄞ4", + "ㄉㄧ4" + ], + "逯": [ + "ㄌㄨ4", + "ㄉㄞ4" + ], + "逰": [ + "ㄧㄡ2" + ], + "週": [ + "ㄓㄡ1" + ], + "進": [ + "ㄐㄧㄣ4" + ], + "逳": [ + "ㄩ4" + ], + "逴": [ + "ㄔㄨㄛ1", + "ㄔㄨㄛ4" + ], + "逵": [ + "ㄎㄨㄟ2", + "ㄎㄨㄟ3" + ], + "逶": [ + "ㄨㄟ1" + ], + "逷": [ + "ㄊㄧ4" + ], + "逸": [ + "ㄧ4" + ], + "逹": [ + "ㄉㄚ2" + ], + "逺": [ + "ㄩㄢ3" + ], + "逻": [ + "ㄌㄨㄛ2" + ], + "逼": [ + "ㄅㄧ1" + ], + "逽": [ + "ㄋㄨㄛ4" + ], + "逾": [ + "ㄩ2", + "ㄉㄡ4" + ], + "逿": [ + "ㄉㄤ4", + "ㄊㄤ2" + ], + "遀": [ + "ㄙㄨㄟ2" + ], + "遁": [ + "ㄉㄨㄣ4", + "ㄑㄩㄣ1", + "ㄒㄩㄣ2" + ], + "遂": [ + "ㄙㄨㄟ4", + "ㄙㄨㄟ2" + ], + "遃": [ + "ㄧㄢ3", + "ㄢ4" + ], + "遄": [ + "ㄔㄨㄢ2" + ], + "遅": [ + "ㄔ2" + ], + "遆": [ + "ㄊㄧ2" + ], + "遇": [ + "ㄩ4", + "ㄩㄥ2", + "ㄡ3" + ], + "遈": [ + "ㄕ2" + ], + "遉": [ + "ㄓㄣ1" + ], + "遊": [ + "ㄧㄡ2" + ], + "運": [ + "ㄩㄣ4" + ], + "遌": [ + "ㄜ4" + ], + "遍": [ + "ㄅㄧㄢ4" + ], + "過": [ + "ㄍㄨㄛ4", + "ㄍㄨㄛ1", + "ㄍㄨㄛ5", + "ㄏㄨㄛ4" + ], + "遏": [ + "ㄜ4" + ], + "遐": [ + "ㄒㄧㄚ2" + ], + "遑": [ + "ㄏㄨㄤ2" + ], + "遒": [ + "ㄑㄧㄡ2", + "ㄑㄧㄡ1" + ], + "道": [ + "ㄉㄠ4", + "ㄉㄠ3" + ], + "達": [ + "ㄉㄚ2", + "ㄊㄚ4" + ], + "違": [ + "ㄨㄟ2", + "ㄏㄨㄟ2" + ], + "遖": [ + "ㄋㄢ2" + ], + "遗": [ + "ㄧ2", + "ㄨㄟ4" + ], + "遘": [ + "ㄍㄡ4" + ], + "遙": [ + "ㄧㄠ2" + ], + "遚": [ + "ㄔㄡ4" + ], + "遛": [ + "ㄌㄧㄡ2", + "ㄌㄧㄡ4" + ], + "遜": [ + "ㄒㄩㄣ4" + ], + "遝": [ + "ㄊㄚ4" + ], + "遞": [ + "ㄉㄧ4", + "ㄕ4", + "ㄉㄞ4" + ], + "遟": [ + "ㄔ2", + "ㄓ4", + "ㄒㄧ1" + ], + "遠": [ + "ㄩㄢ3", + "ㄩㄢ4" + ], + "遡": [ + "ㄙㄨ4" + ], + "遢": [ + "ㄊㄚ4", + "ㄊㄚ1" + ], + "遣": [ + "ㄑㄧㄢ3", + "ㄑㄧㄢ4" + ], + "遤": [ + "ㄇㄚ3" + ], + "遥": [ + "ㄧㄠ2" + ], + "遦": [ + "ㄍㄨㄢ4" + ], + "遧": [ + "ㄓㄤ1" + ], + "遨": [ + "ㄠ2" + ], + "適": [ + "ㄕ4", + "ㄉㄧ2", + "ㄊㄧ4", + "ㄓㄜ2" + ], + "遪": [ + "ㄘㄚ4" + ], + "遫": [ + "ㄔ4" + ], + "遬": [ + "ㄙㄨ4" + ], + "遭": [ + "ㄗㄠ1" + ], + "遮": [ + "ㄓㄜ1" + ], + "遯": [ + "ㄉㄨㄣ4" + ], + "遰": [ + "ㄉㄧ4", + "ㄕ4", + "ㄉㄞ4" + ], + "遱": [ + "ㄌㄡ2" + ], + "遲": [ + "ㄔ2", + "ㄓ4" + ], + "遳": [ + "ㄘㄨㄛ1" + ], + "遴": [ + "ㄌㄧㄣ2", + "ㄌㄧㄣ4" + ], + "遵": [ + "ㄗㄨㄣ1" + ], + "遶": [ + "ㄖㄠ4" + ], + "遷": [ + "ㄑㄧㄢ1" + ], + "選": [ + "ㄒㄩㄢ3", + "ㄒㄩㄢ4", + "ㄙㄨㄢ4", + "ㄕㄨㄚ1" + ], + "遹": [ + "ㄩ4" + ], + "遺": [ + "ㄧ2", + "ㄨㄟ4", + "ㄙㄨㄟ2" + ], + "遻": [ + "ㄜ4" + ], + "遼": [ + "ㄌㄧㄠ2" + ], + "遽": [ + "ㄐㄩ4", + "ㄑㄩ2" + ], + "遾": [ + "ㄕ4" + ], + "避": [ + "ㄅㄧ4" + ], + "邀": [ + "ㄧㄠ1" + ], + "邁": [ + "ㄇㄞ4" + ], + "邂": [ + "ㄒㄧㄝ4" + ], + "邃": [ + "ㄙㄨㄟ4" + ], + "還": [ + "ㄏㄞ2", + "ㄏㄨㄢ2", + "ㄒㄩㄢ2" + ], + "邅": [ + "ㄓㄢ1", + "ㄓㄢ4" + ], + "邆": [ + "ㄊㄥ2" + ], + "邇": [ + "ㄦ3" + ], + "邈": [ + "ㄇㄧㄠ3", + "ㄇㄧㄠ2" + ], + "邉": [ + "ㄅㄧㄢ1" + ], + "邊": [ + "ㄅㄧㄢ1" + ], + "邋": [ + "ㄌㄚ1", + "ㄌㄧㄝ4" + ], + "邌": [ + "ㄌㄧ2", + "ㄔ2" + ], + "邍": [ + "ㄩㄢ2" + ], + "邎": [ + "ㄧㄠ2" + ], + "邏": [ + "ㄌㄨㄛ2", + "ㄌㄨㄛ4" + ], + "邐": [ + "ㄌㄧ3" + ], + "邑": [ + "ㄧ4", + "ㄜ4" + ], + "邒": [ + "ㄊㄧㄥ2" + ], + "邓": [ + "ㄉㄥ4", + "ㄕㄢ1" + ], + "邔": [ + "ㄑㄧ3" + ], + "邕": [ + "ㄩㄥ1", + "ㄩㄥ3" + ], + "邖": [ + "ㄕㄢ1" + ], + "邗": [ + "ㄏㄢ2" + ], + "邘": [ + "ㄩ2" + ], + "邙": [ + "ㄇㄤ2" + ], + "邚": [ + "ㄖㄨ2", + "ㄈㄨ4" + ], + "邛": [ + "ㄑㄩㄥ2" + ], + "邜": [ + "ㄒㄧ1" + ], + "邝": [ + "ㄎㄨㄤ4" + ], + "邞": [ + "ㄈㄨ1" + ], + "邟": [ + "ㄎㄤ4", + "ㄏㄤ2", + "ㄎㄤ1" + ], + "邠": [ + "ㄅㄧㄣ1" + ], + "邡": [ + "ㄈㄤ1", + "ㄈㄤ4" + ], + "邢": [ + "ㄒㄧㄥ2", + "ㄍㄥ3" + ], + "那": [ + "ㄋㄚ4", + "ㄋㄚ1", + "ㄋㄨㄛ2", + "ㄋㄨㄛ4", + "ㄋㄟ4", + "ㄋㄚ3", + "ㄋㄟ3", + "ㄋㄜ2", + "ㄋㄞ3", + "ㄋㄜ4" + ], + "邤": [ + "ㄒㄧㄣ1" + ], + "邥": [ + "ㄕㄣ3" + ], + "邦": [ + "ㄅㄤ1" + ], + "邧": [ + "ㄩㄢ2" + ], + "邨": [ + "ㄘㄨㄣ1" + ], + "邩": [ + "ㄏㄨㄛ3" + ], + "邪": [ + "ㄒㄧㄝ2", + "ㄧㄚ2", + "ㄧㄝ2", + "ㄒㄩ2", + "ㄕㄜ2" + ], + "邫": [ + "ㄅㄤ1" + ], + "邬": [ + "ㄨ1" + ], + "邭": [ + "ㄐㄩ4" + ], + "邮": [ + "ㄧㄡ2" + ], + "邯": [ + "ㄏㄢ2", + "ㄏㄢ4" + ], + "邰": [ + "ㄊㄞ2" + ], + "邱": [ + "ㄑㄧㄡ1" + ], + "邲": [ + "ㄅㄧ4", + "ㄅㄧㄢ4" + ], + "邳": [ + "ㄆㄧ1" + ], + "邴": [ + "ㄅㄧㄥ3" + ], + "邵": [ + "ㄕㄠ4" + ], + "邶": [ + "ㄅㄟ4" + ], + "邷": [ + "ㄨㄚ3" + ], + "邸": [ + "ㄉㄧ3" + ], + "邹": [ + "ㄗㄡ1" + ], + "邺": [ + "ㄧㄝ4", + "ㄑㄧㄡ1" + ], + "邻": [ + "ㄌㄧㄣ2" + ], + "邼": [ + "ㄎㄨㄤ1" + ], + "邽": [ + "ㄍㄨㄟ1" + ], + "邾": [ + "ㄓㄨ1" + ], + "邿": [ + "ㄕ1" + ], + "郀": [ + "ㄎㄨ1" + ], + "郁": [ + "ㄩ4" + ], + "郂": [ + "ㄍㄞ1", + "ㄏㄞ2" + ], + "郃": [ + "ㄏㄜ2", + "ㄒㄧㄚ2" + ], + "郄": [ + "ㄑㄧㄝ4", + "ㄒㄧ4" + ], + "郅": [ + "ㄓ4", + "ㄐㄧ2" + ], + "郆": [ + "ㄐㄧ2" + ], + "郇": [ + "ㄏㄨㄢ2", + "ㄒㄩㄣ2" + ], + "郈": [ + "ㄏㄡ4" + ], + "郉": [ + "ㄒㄧㄥ2" + ], + "郊": [ + "ㄐㄧㄠ1" + ], + "郋": [ + "ㄒㄧ2" + ], + "郌": [ + "ㄍㄨㄟ1" + ], + "郍": [ + "ㄋㄨㄛ2", + "ㄋㄚ3", + "ㄈㄨ2" + ], + "郎": [ + "ㄌㄤ2", + "ㄌㄤ4" + ], + "郏": [ + "ㄐㄧㄚ2" + ], + "郐": [ + "ㄎㄨㄞ4" + ], + "郑": [ + "ㄓㄥ4" + ], + "郒": [ + "ㄌㄤ2" + ], + "郓": [ + "ㄩㄣ4" + ], + "郔": [ + "ㄧㄢ2" + ], + "郕": [ + "ㄔㄥ2" + ], + "郖": [ + "ㄉㄡ4" + ], + "郗": [ + "ㄒㄧ1", + "ㄔ1" + ], + "郘": [ + "ㄌㄩ3" + ], + "郙": [ + "ㄈㄨ3" + ], + "郚": [ + "ㄨ2", + "ㄩ2" + ], + "郛": [ + "ㄈㄨ2" + ], + "郜": [ + "ㄍㄠ4" + ], + "郝": [ + "ㄏㄠ3", + "ㄕ4" + ], + "郞": [ + "ㄌㄤ2" + ], + "郟": [ + "ㄐㄧㄚ2" + ], + "郠": [ + "ㄍㄥ3" + ], + "郡": [ + "ㄐㄩㄣ4" + ], + "郢": [ + "ㄧㄥ3", + "ㄔㄥ2" + ], + "郣": [ + "ㄅㄛ2" + ], + "郤": [ + "ㄒㄧ4" + ], + "郥": [ + "ㄅㄟ4" + ], + "郦": [ + "ㄌㄧ4" + ], + "郧": [ + "ㄩㄣ2" + ], + "部": [ + "ㄅㄨ4", + "ㄆㄡ3" + ], + "郩": [ + "ㄒㄧㄠ2", + "ㄠ3" + ], + "郪": [ + "ㄑㄧ1" + ], + "郫": [ + "ㄆㄧ2" + ], + "郬": [ + "ㄑㄧㄥ1" + ], + "郭": [ + "ㄍㄨㄛ1", + "ㄍㄨㄛ2" + ], + "郮": [ + "ㄓㄡ1" + ], + "郯": [ + "ㄊㄢ2" + ], + "郰": [ + "ㄗㄡ1", + "ㄐㄩ3" + ], + "郱": [ + "ㄆㄧㄥ2" + ], + "郲": [ + "ㄌㄞ2", + "ㄌㄟ3" + ], + "郳": [ + "ㄋㄧ2" + ], + "郴": [ + "ㄔㄣ1", + "ㄌㄢ2" + ], + "郵": [ + "ㄧㄡ2", + "ㄔㄨㄟ2" + ], + "郶": [ + "ㄅㄨ4" + ], + "郷": [ + "ㄒㄧㄤ1" + ], + "郸": [ + "ㄉㄢ1" + ], + "郹": [ + "ㄐㄩ2" + ], + "郺": [ + "ㄩㄥ1" + ], + "郻": [ + "ㄑㄧㄠ1" + ], + "郼": [ + "ㄧ1" + ], + "都": [ + "ㄉㄡ1", + "ㄉㄨ1" + ], + "郾": [ + "ㄧㄢ3", + "ㄧㄢ1" + ], + "郿": [ + "ㄇㄟ2" + ], + "鄀": [ + "ㄖㄨㄛ4" + ], + "鄁": [ + "ㄅㄟ4" + ], + "鄂": [ + "ㄜ4" + ], + "鄃": [ + "ㄕㄨ1" + ], + "鄄": [ + "ㄐㄩㄢ4" + ], + "鄅": [ + "ㄩ3" + ], + "鄆": [ + "ㄩㄣ4" + ], + "鄇": [ + "ㄏㄡ2" + ], + "鄈": [ + "ㄎㄨㄟ2" + ], + "鄉": [ + "ㄒㄧㄤ1", + "ㄒㄧㄤ3", + "ㄒㄧㄤ4" + ], + "鄊": [ + "ㄒㄧㄤ1" + ], + "鄋": [ + "ㄙㄡ1" + ], + "鄌": [ + "ㄊㄤ2" + ], + "鄍": [ + "ㄇㄧㄥ2" + ], + "鄎": [ + "ㄒㄧ1" + ], + "鄏": [ + "ㄖㄨ3" + ], + "鄐": [ + "ㄔㄨ4" + ], + "鄑": [ + "ㄗ1" + ], + "鄒": [ + "ㄗㄡ1", + "ㄐㄩ4" + ], + "鄓": [ + "ㄧㄝ4" + ], + "鄔": [ + "ㄨ1" + ], + "鄕": [ + "ㄒㄧㄤ1" + ], + "鄖": [ + "ㄩㄣ2" + ], + "鄗": [ + "ㄏㄠ4", + "ㄑㄧㄠ1", + "ㄐㄧㄠ1" + ], + "鄘": [ + "ㄩㄥ1" + ], + "鄙": [ + "ㄅㄧ3" + ], + "鄚": [ + "ㄇㄠ4", + "ㄇㄛ4" + ], + "鄛": [ + "ㄔㄠ2" + ], + "鄜": [ + "ㄈㄨ1", + "ㄌㄨ4" + ], + "鄝": [ + "ㄌㄧㄠ3" + ], + "鄞": [ + "ㄧㄣ2" + ], + "鄟": [ + "ㄓㄨㄢ1" + ], + "鄠": [ + "ㄏㄨ4" + ], + "鄡": [ + "ㄑㄧㄠ1" + ], + "鄢": [ + "ㄧㄢ1" + ], + "鄣": [ + "ㄓㄤ1", + "ㄓㄤ4" + ], + "鄤": [ + "ㄇㄢ4", + "ㄨㄢ4" + ], + "鄥": [ + "ㄑㄧㄠ1" + ], + "鄦": [ + "ㄒㄩ3" + ], + "鄧": [ + "ㄉㄥ4" + ], + "鄨": [ + "ㄅㄧ4" + ], + "鄩": [ + "ㄒㄩㄣ2" + ], + "鄪": [ + "ㄅㄧ4" + ], + "鄫": [ + "ㄗㄥ1", + "ㄘㄥ2" + ], + "鄬": [ + "ㄨㄟ2" + ], + "鄭": [ + "ㄓㄥ4" + ], + "鄮": [ + "ㄇㄠ4" + ], + "鄯": [ + "ㄕㄢ4" + ], + "鄰": [ + "ㄌㄧㄣ2", + "ㄌㄧㄣ4" + ], + "鄱": [ + "ㄆㄛ2", + "ㄆㄧ2", + "ㄆㄢ2" + ], + "鄲": [ + "ㄉㄢ1", + "ㄉㄨㄛ1" + ], + "鄳": [ + "ㄇㄥ2" + ], + "鄴": [ + "ㄧㄝ4" + ], + "鄵": [ + "ㄘㄠ4", + "ㄙㄠ1" + ], + "鄶": [ + "ㄎㄨㄞ4" + ], + "鄷": [ + "ㄈㄥ1" + ], + "鄸": [ + "ㄇㄥ2" + ], + "鄹": [ + "ㄗㄡ1", + "ㄐㄩ4" + ], + "鄺": [ + "ㄎㄨㄤ4", + "ㄎㄨㄛ4" + ], + "鄻": [ + "ㄌㄧㄢ3" + ], + "鄼": [ + "ㄗㄢ4" + ], + "鄽": [ + "ㄔㄢ2" + ], + "鄾": [ + "ㄧㄡ1" + ], + "鄿": [ + "ㄐㄧ1", + "ㄑㄧ2" + ], + "酀": [ + "ㄧㄢ4", + "ㄧㄢ3" + ], + "酁": [ + "ㄔㄢ2" + ], + "酂": [ + "ㄘㄨㄛ2", + "ㄗㄢ4" + ], + "酃": [ + "ㄌㄧㄥ2" + ], + "酄": [ + "ㄏㄨㄢ1", + "ㄑㄩㄢ1" + ], + "酅": [ + "ㄒㄧ1" + ], + "酆": [ + "ㄈㄥ1" + ], + "酇": [ + "ㄗㄢ4", + "ㄘㄨㄛ2" + ], + "酈": [ + "ㄌㄧ4", + "ㄌㄧ2", + "ㄓ2" + ], + "酉": [ + "ㄧㄡ3" + ], + "酊": [ + "ㄉㄧㄥ1", + "ㄉㄧㄥ3" + ], + "酋": [ + "ㄑㄧㄡ2" + ], + "酌": [ + "ㄓㄨㄛ2" + ], + "配": [ + "ㄆㄟ4" + ], + "酎": [ + "ㄓㄡ4" + ], + "酏": [ + "ㄧ3", + "ㄧ2" + ], + "酐": [ + "ㄍㄢ1", + "ㄏㄤ4" + ], + "酑": [ + "ㄩ2" + ], + "酒": [ + "ㄐㄧㄡ3" + ], + "酓": [ + "ㄧㄢ3", + "ㄧㄢ4", + "ㄧㄣ3" + ], + "酔": [ + "ㄗㄨㄟ4" + ], + "酕": [ + "ㄇㄠ2" + ], + "酖": [ + "ㄓㄣ4", + "ㄉㄢ1" + ], + "酗": [ + "ㄒㄩ4" + ], + "酘": [ + "ㄉㄡ4" + ], + "酙": [ + "ㄓㄣ1" + ], + "酚": [ + "ㄈㄣ1" + ], + "酛": [ + "ㄩㄢ2" + ], + "酜": [ + "ㄈㄨ5" + ], + "酝": [ + "ㄩㄣ4" + ], + "酞": [ + "ㄊㄞ4" + ], + "酟": [ + "ㄊㄧㄢ1" + ], + "酠": [ + "ㄑㄧㄚ3" + ], + "酡": [ + "ㄊㄨㄛ2", + "ㄉㄨㄛ4" + ], + "酢": [ + "ㄘㄨ4", + "ㄗㄨㄛ4" + ], + "酣": [ + "ㄏㄢ1", + "ㄏㄢ4" + ], + "酤": [ + "ㄍㄨ1" + ], + "酥": [ + "ㄙㄨ1" + ], + "酦": [ + "ㄆㄛ4", + "ㄆㄛ1", + "ㄈㄚ1" + ], + "酧": [ + "ㄔㄡ2" + ], + "酨": [ + "ㄗㄞ4", + "ㄗㄨㄟ4" + ], + "酩": [ + "ㄇㄧㄥ3" + ], + "酪": [ + "ㄌㄠ4", + "ㄌㄨㄛ4", + "ㄌㄨ4" + ], + "酫": [ + "ㄔㄨㄛ4" + ], + "酬": [ + "ㄔㄡ2" + ], + "酭": [ + "ㄧㄡ4" + ], + "酮": [ + "ㄊㄨㄥ2", + "ㄉㄨㄥ4", + "ㄔㄨㄥ2" + ], + "酯": [ + "ㄓ3" + ], + "酰": [ + "ㄒㄧㄢ1" + ], + "酱": [ + "ㄐㄧㄤ4" + ], + "酲": [ + "ㄔㄥ2" + ], + "酳": [ + "ㄧㄣ4" + ], + "酴": [ + "ㄊㄨ2" + ], + "酵": [ + "ㄐㄧㄠ4" + ], + "酶": [ + "ㄇㄟ2" + ], + "酷": [ + "ㄎㄨ4" + ], + "酸": [ + "ㄙㄨㄢ1" + ], + "酹": [ + "ㄌㄟ4" + ], + "酺": [ + "ㄆㄨ2" + ], + "酻": [ + "ㄗㄨㄟ4", + "ㄈㄨ2" + ], + "酼": [ + "ㄏㄞ3" + ], + "酽": [ + "ㄧㄢ4" + ], + "酾": [ + "ㄕㄞ1", + "ㄕ1" + ], + "酿": [ + "ㄋㄧㄤ4", + "ㄋㄧㄤ2" + ], + "醀": [ + "ㄨㄟ2", + "ㄓㄨㄟ4" + ], + "醁": [ + "ㄌㄨ4" + ], + "醂": [ + "ㄌㄢ3" + ], + "醃": [ + "ㄧㄢ1", + "ㄤ1" + ], + "醄": [ + "ㄊㄠ2" + ], + "醅": [ + "ㄆㄟ1" + ], + "醆": [ + "ㄓㄢ3" + ], + "醇": [ + "ㄔㄨㄣ2" + ], + "醈": [ + "ㄊㄢ2", + "ㄉㄢ4" + ], + "醉": [ + "ㄗㄨㄟ4" + ], + "醊": [ + "ㄓㄨㄟ4" + ], + "醋": [ + "ㄘㄨ4", + "ㄗㄨㄛ4" + ], + "醌": [ + "ㄎㄨㄣ1" + ], + "醍": [ + "ㄊㄧ2", + "ㄊㄧ3" + ], + "醎": [ + "ㄒㄧㄢ2", + "ㄐㄧㄢ3" + ], + "醏": [ + "ㄉㄨ1" + ], + "醐": [ + "ㄏㄨ2" + ], + "醑": [ + "ㄒㄩ3" + ], + "醒": [ + "ㄒㄧㄥ3", + "ㄔㄥ2", + "ㄐㄧㄥ1" + ], + "醓": [ + "ㄊㄢ3" + ], + "醔": [ + "ㄑㄧㄡ2", + "ㄔㄡ1" + ], + "醕": [ + "ㄔㄨㄣ2" + ], + "醖": [ + "ㄩㄣ4" + ], + "醗": [ + "ㄆㄛ4" + ], + "醘": [ + "ㄎㄜ1" + ], + "醙": [ + "ㄙㄡ1" + ], + "醚": [ + "ㄇㄧ2" + ], + "醛": [ + "ㄑㄩㄢ2", + "ㄔㄨㄛ4" + ], + "醜": [ + "ㄔㄡ3" + ], + "醝": [ + "ㄘㄨㄛ1", + "ㄘㄨㄛ3" + ], + "醞": [ + "ㄩㄣ4" + ], + "醟": [ + "ㄩㄥ4" + ], + "醠": [ + "ㄤ4" + ], + "醡": [ + "ㄓㄚ4" + ], + "醢": [ + "ㄏㄞ3" + ], + "醣": [ + "ㄊㄤ2" + ], + "醤": [ + "ㄐㄧㄤ4" + ], + "醥": [ + "ㄆㄧㄠ3" + ], + "醦": [ + "ㄔㄣ3", + "ㄔㄢ3" + ], + "醧": [ + "ㄩ4", + "ㄡ1" + ], + "醨": [ + "ㄌㄧ2" + ], + "醩": [ + "ㄗㄠ1" + ], + "醪": [ + "ㄌㄠ2" + ], + "醫": [ + "ㄧ1", + "ㄧ3" + ], + "醬": [ + "ㄐㄧㄤ4" + ], + "醭": [ + "ㄅㄨ2" + ], + "醮": [ + "ㄐㄧㄠ4", + "ㄑㄧㄠ2", + "ㄓㄢ4" + ], + "醯": [ + "ㄒㄧ1" + ], + "醰": [ + "ㄊㄢ2" + ], + "醱": [ + "ㄈㄚ1", + "ㄆㄛ4", + "ㄆㄛ1" + ], + "醲": [ + "ㄋㄨㄥ2" + ], + "醳": [ + "ㄧ4", + "ㄕ4" + ], + "醴": [ + "ㄌㄧ3" + ], + "醵": [ + "ㄐㄩ4" + ], + "醶": [ + "ㄧㄢ4", + "ㄌㄧㄢ3", + "ㄒㄧㄢ1", + "ㄐㄧㄢ3" + ], + "醷": [ + "ㄧ4", + "ㄧ3", + "ㄞ4" + ], + "醸": [ + "ㄋㄧㄤ4" + ], + "醹": [ + "ㄖㄨ2" + ], + "醺": [ + "ㄒㄩㄣ1" + ], + "醻": [ + "ㄔㄡ2", + "ㄕㄡ4", + "ㄉㄠ4" + ], + "醼": [ + "ㄧㄢ4" + ], + "醽": [ + "ㄌㄧㄥ2" + ], + "醾": [ + "ㄇㄧ2" + ], + "醿": [ + "ㄇㄧ2" + ], + "釀": [ + "ㄋㄧㄤ4", + "ㄋㄧㄤ2" + ], + "釁": [ + "ㄒㄧㄣ4" + ], + "釂": [ + "ㄐㄧㄠ4" + ], + "釃": [ + "ㄕㄞ1", + "ㄕ1", + "ㄌㄧ2" + ], + "釄": [ + "ㄇㄧ2" + ], + "釅": [ + "ㄧㄢ4" + ], + "釆": [ + "ㄅㄧㄢ4", + "ㄅㄧㄢ3" + ], + "采": [ + "ㄘㄞ3", + "ㄘㄞ4" + ], + "釈": [ + "ㄕ4" + ], + "釉": [ + "ㄧㄡ4" + ], + "释": [ + "ㄕ4" + ], + "釋": [ + "ㄕ4", + "ㄧ4" + ], + "里": [ + "ㄌㄧ3", + "ㄌㄧ5" + ], + "重": [ + "ㄓㄨㄥ4", + "ㄔㄨㄥ2", + "ㄊㄨㄥ2" + ], + "野": [ + "ㄧㄝ3", + "ㄕㄨ4" + ], + "量": [ + "ㄌㄧㄤ4", + "ㄌㄧㄤ2" + ], + "釐": [ + "ㄌㄧ2", + "ㄒㄧ1", + "ㄌㄞ2", + "ㄊㄞ1", + "ㄌㄞ4", + "ㄒㄧ3" + ], + "金": [ + "ㄐㄧㄣ1", + "ㄐㄧㄣ4" + ], + "釒": [ + "ㄐㄧㄣ1" + ], + "釓": [ + "ㄑㄧㄡ2", + "ㄍㄚ2" + ], + "釔": [ + "ㄧ3" + ], + "釕": [ + "ㄌㄧㄠ3", + "ㄌㄧㄠ4" + ], + "釖": [ + "ㄉㄠ1" + ], + "釗": [ + "ㄓㄠ1" + ], + "釘": [ + "ㄉㄧㄥ1", + "ㄉㄧㄥ4", + "ㄌㄧㄥ2" + ], + "釙": [ + "ㄆㄛ4", + "ㄆㄛ1" + ], + "釚": [ + "ㄑㄧㄡ2" + ], + "釛": [ + "ㄅㄚ1" + ], + "釜": [ + "ㄈㄨ3" + ], + "針": [ + "ㄓㄣ1" + ], + "釞": [ + "ㄓ2" + ], + "釟": [ + "ㄅㄚ1" + ], + "釠": [ + "ㄌㄨㄢ4" + ], + "釡": [ + "ㄈㄨ3" + ], + "釢": [ + "ㄋㄞ3" + ], + "釣": [ + "ㄉㄧㄠ4" + ], + "釤": [ + "ㄕㄢ4", + "ㄕㄢ1", + "ㄒㄧㄢ1" + ], + "釥": [ + "ㄑㄧㄠ3", + "ㄐㄧㄠ3" + ], + "釦": [ + "ㄎㄡ4" + ], + "釧": [ + "ㄔㄨㄢ4", + "ㄔㄨㄢ1" + ], + "釨": [ + "ㄗ3" + ], + "釩": [ + "ㄈㄢ3", + "ㄈㄢ4", + "ㄈㄢ2" + ], + "釪": [ + "ㄏㄨㄚ2", + "ㄩ2" + ], + "釫": [ + "ㄏㄨㄚ2", + "ㄨ1" + ], + "釬": [ + "ㄏㄢ4", + "ㄍㄢ1" + ], + "釭": [ + "ㄍㄤ1", + "ㄍㄨㄥ1" + ], + "釮": [ + "ㄑㄧ2" + ], + "釯": [ + "ㄇㄤ2" + ], + "釰": [ + "ㄖ4", + "ㄖㄣ4", + "ㄐㄧㄢ4" + ], + "釱": [ + "ㄉㄧ4" + ], + "釲": [ + "ㄙ4" + ], + "釳": [ + "ㄒㄧ4" + ], + "釴": [ + "ㄧ4" + ], + "釵": [ + "ㄔㄞ1", + "ㄔㄚ1" + ], + "釶": [ + "ㄕ1", + "ㄧ2", + "ㄧㄝ3" + ], + "釷": [ + "ㄊㄨ3" + ], + "釸": [ + "ㄒㄧ1" + ], + "釹": [ + "ㄋㄩ3" + ], + "釺": [ + "ㄑㄧㄢ1" + ], + "釻": [ + "ㄑㄧㄡ2" + ], + "釼": [ + "ㄐㄧㄢ4" + ], + "釽": [ + "ㄆㄧ4", + "ㄆㄧ1", + "ㄓㄠ1" + ], + "釾": [ + "ㄧㄝ2", + "ㄧㄚ2" + ], + "釿": [ + "ㄐㄧㄣ1", + "ㄧㄣ3", + "ㄧㄣ2" + ], + "鈀": [ + "ㄅㄚ3", + "ㄅㄚ1", + "ㄆㄚ2" + ], + "鈁": [ + "ㄈㄤ1" + ], + "鈂": [ + "ㄔㄣ2", + "ㄑㄧㄣ2", + "ㄓㄣ4" + ], + "鈃": [ + "ㄒㄧㄥ2" + ], + "鈄": [ + "ㄉㄡ3" + ], + "鈅": [ + "ㄩㄝ4" + ], + "鈆": [ + "ㄑㄧㄢ1", + "ㄓㄨㄥ1" + ], + "鈇": [ + "ㄈㄨ1", + "ㄈㄨ3" + ], + "鈈": [ + "ㄆㄧ1", + "ㄅㄨ4" + ], + "鈉": [ + "ㄋㄚ4", + "ㄖㄨㄟ4" + ], + "鈊": [ + "ㄒㄧㄣ1", + "ㄑㄧㄣ4" + ], + "鈋": [ + "ㄜ2" + ], + "鈌": [ + "ㄐㄩㄝ2" + ], + "鈍": [ + "ㄉㄨㄣ4" + ], + "鈎": [ + "ㄍㄡ1" + ], + "鈏": [ + "ㄧㄣ3" + ], + "鈐": [ + "ㄑㄧㄢ2", + "ㄏㄢ2" + ], + "鈑": [ + "ㄅㄢ3" + ], + "鈒": [ + "ㄙㄚ4", + "ㄒㄧ4" + ], + "鈓": [ + "ㄖㄣ2" + ], + "鈔": [ + "ㄔㄠ1", + "ㄔㄠ3" + ], + "鈕": [ + "ㄋㄧㄡ3", + "ㄔㄡ3" + ], + "鈖": [ + "ㄈㄣ1" + ], + "鈗": [ + "ㄩㄣ3", + "ㄉㄨㄟ4" + ], + "鈘": [ + "ㄧ3" + ], + "鈙": [ + "ㄑㄧㄣ2" + ], + "鈚": [ + "ㄆㄧ1", + "ㄅㄧ1", + "ㄅㄧ3" + ], + "鈛": [ + "ㄍㄨㄛ1" + ], + "鈜": [ + "ㄏㄨㄥ2" + ], + "鈝": [ + "ㄧㄣ2" + ], + "鈞": [ + "ㄐㄩㄣ1" + ], + "鈟": [ + "ㄉㄧㄠ4" + ], + "鈠": [ + "ㄧ4" + ], + "鈡": [ + "ㄓㄨㄥ1" + ], + "鈢": [ + "ㄒㄧ3" + ], + "鈣": [ + "ㄍㄞ4" + ], + "鈤": [ + "ㄖ4" + ], + "鈥": [ + "ㄏㄨㄛ3" + ], + "鈦": [ + "ㄊㄞ4" + ], + "鈧": [ + "ㄎㄤ4" + ], + "鈨": [ + "ㄩㄢ2" + ], + "鈩": [ + "ㄌㄨ2" + ], + "鈪": [ + "ㄜ4" + ], + "鈫": [ + "ㄑㄧㄣ2" + ], + "鈬": [ + "ㄉㄨㄛ2" + ], + "鈭": [ + "ㄗ1" + ], + "鈮": [ + "ㄋㄧ3", + "ㄋㄧ2" + ], + "鈯": [ + "ㄊㄨ2" + ], + "鈰": [ + "ㄕ4" + ], + "鈱": [ + "ㄇㄧㄣ2", + "ㄇㄧㄣ3" + ], + "鈲": [ + "ㄍㄨ1", + "ㄆㄧ4" + ], + "鈳": [ + "ㄎㄜ1" + ], + "鈴": [ + "ㄌㄧㄥ2" + ], + "鈵": [ + "ㄅㄧㄥ3" + ], + "鈶": [ + "ㄙ4", + "ㄘ2", + "ㄊㄞ2" + ], + "鈷": [ + "ㄍㄨ3", + "ㄏㄨ2", + "ㄍㄨ4" + ], + "鈸": [ + "ㄅㄛ2" + ], + "鈹": [ + "ㄆㄧ1", + "ㄆㄧ2" + ], + "鈺": [ + "ㄩ4" + ], + "鈻": [ + "ㄙ4" + ], + "鈼": [ + "ㄗㄨㄛ2" + ], + "鈽": [ + "ㄅㄨ1" + ], + "鈾": [ + "ㄧㄡ2", + "ㄓㄡ4" + ], + "鈿": [ + "ㄊㄧㄢ2", + "ㄉㄧㄢ4" + ], + "鉀": [ + "ㄐㄧㄚ3", + "ㄍㄜ2" + ], + "鉁": [ + "ㄓㄣ1", + "ㄓㄣ4" + ], + "鉂": [ + "ㄕ3" + ], + "鉃": [ + "ㄕ4", + "ㄗㄨ2" + ], + "鉄": [ + "ㄓ2", + "ㄊㄧㄝ3" + ], + "鉅": [ + "ㄐㄩ4" + ], + "鉆": [ + "ㄔㄢ1", + "ㄑㄧㄢ2", + "ㄊㄧㄝ1" + ], + "鉇": [ + "ㄕ1", + "ㄧ2" + ], + "鉈": [ + "ㄕ1", + "ㄕㄜ2", + "ㄧ2", + "ㄊㄨㄛ2", + "ㄊㄚ1" + ], + "鉉": [ + "ㄒㄩㄢ4" + ], + "鉊": [ + "ㄓㄠ1" + ], + "鉋": [ + "ㄅㄠ4", + "ㄆㄠ2", + "ㄅㄠ2" + ], + "鉌": [ + "ㄏㄜ2" + ], + "鉍": [ + "ㄅㄧ4", + "ㄙㄜ4" + ], + "鉎": [ + "ㄕㄥ1" + ], + "鉏": [ + "ㄔㄨ2", + "ㄗㄨ1", + "ㄓㄨ4", + "ㄐㄩ3", + "ㄔㄚ2", + "ㄒㄩ2" + ], + "鉐": [ + "ㄕ2", + "ㄗㄨ2" + ], + "鉑": [ + "ㄅㄛ2" + ], + "鉒": [ + "ㄓㄨ4" + ], + "鉓": [ + "ㄔ4" + ], + "鉔": [ + "ㄗㄚ1" + ], + "鉕": [ + "ㄆㄛ1", + "ㄆㄛ3" + ], + "鉖": [ + "ㄊㄨㄥ2" + ], + "鉗": [ + "ㄑㄧㄢ2", + "ㄢ1" + ], + "鉘": [ + "ㄈㄨ2" + ], + "鉙": [ + "ㄓㄞ3" + ], + "鉚": [ + "ㄌㄧㄡ3", + "ㄇㄠ3" + ], + "鉛": [ + "ㄑㄧㄢ1", + "ㄧㄢ2" + ], + "鉜": [ + "ㄈㄨ2" + ], + "鉝": [ + "ㄌㄧ4" + ], + "鉞": [ + "ㄩㄝ4" + ], + "鉟": [ + "ㄆㄧ1" + ], + "鉠": [ + "ㄧㄤ1" + ], + "鉡": [ + "ㄅㄢ4" + ], + "鉢": [ + "ㄅㄛ1" + ], + "鉣": [ + "ㄐㄧㄝ2" + ], + "鉤": [ + "ㄍㄡ1", + "ㄍㄡ4", + "ㄑㄩ2" + ], + "鉥": [ + "ㄕㄨ4", + "ㄒㄩ4" + ], + "鉦": [ + "ㄓㄥ1" + ], + "鉧": [ + "ㄇㄨ3" + ], + "鉨": [ + "ㄒㄧ3", + "ㄋㄧ3", + "ㄋㄧㄝ3" + ], + "鉩": [ + "ㄒㄧ3", + "ㄋㄧㄝ4" + ], + "鉪": [ + "ㄉㄧ4" + ], + "鉫": [ + "ㄐㄧㄚ1" + ], + "鉬": [ + "ㄇㄨ4" + ], + "鉭": [ + "ㄊㄢ3" + ], + "鉮": [ + "ㄏㄨㄢ2", + "ㄕㄣ2", + "ㄕㄣ1" + ], + "鉯": [ + "ㄧ3" + ], + "鉰": [ + "ㄙ1" + ], + "鉱": [ + "ㄎㄨㄤ4" + ], + "鉲": [ + "ㄎㄚ3" + ], + "鉳": [ + "ㄅㄟ3" + ], + "鉴": [ + "ㄐㄧㄢ4" + ], + "鉵": [ + "ㄊㄨㄥ2", + "ㄓㄨㄛ2" + ], + "鉶": [ + "ㄒㄧㄥ2" + ], + "鉷": [ + "ㄏㄨㄥ2" + ], + "鉸": [ + "ㄐㄧㄠ3" + ], + "鉹": [ + "ㄔ3" + ], + "鉺": [ + "ㄦ4", + "ㄎㄥ1", + "ㄦ3" + ], + "鉻": [ + "ㄌㄨㄛ4", + "ㄍㄜ1", + "ㄍㄜ4" + ], + "鉼": [ + "ㄅㄧㄥ3", + "ㄆㄧㄥ2" + ], + "鉽": [ + "ㄕ4" + ], + "鉾": [ + "ㄇㄡ2", + "ㄇㄠ2" + ], + "鉿": [ + "ㄐㄧㄚ1", + "ㄍㄜ1", + "ㄎㄜ1", + "ㄏㄚ1" + ], + "銀": [ + "ㄧㄣ2" + ], + "銁": [ + "ㄐㄩㄣ1" + ], + "銂": [ + "ㄓㄡ1" + ], + "銃": [ + "ㄔㄨㄥ4" + ], + "銄": [ + "ㄒㄧㄤ3", + "ㄐㄩㄥ1" + ], + "銅": [ + "ㄊㄨㄥ2" + ], + "銆": [ + "ㄇㄛ4" + ], + "銇": [ + "ㄌㄟ4" + ], + "銈": [ + "ㄐㄧ1" + ], + "銉": [ + "ㄩ4", + "ㄙ4" + ], + "銊": [ + "ㄒㄩ4", + "ㄏㄨㄟ4" + ], + "銋": [ + "ㄖㄣ2", + "ㄖㄣ3" + ], + "銌": [ + "ㄗㄨㄣ4" + ], + "銍": [ + "ㄓ4" + ], + "銎": [ + "ㄑㄩㄥ2", + "ㄑㄩㄥ1" + ], + "銏": [ + "ㄕㄢ4", + "ㄕㄨㄛ4" + ], + "銐": [ + "ㄔ4", + "ㄌㄧ4" + ], + "銑": [ + "ㄒㄧㄢ3", + "ㄒㄧㄢ1", + "ㄒㄧ3" + ], + "銒": [ + "ㄒㄧㄥ2", + "ㄐㄧㄢ1" + ], + "銓": [ + "ㄑㄩㄢ2" + ], + "銔": [ + "ㄆㄧ1" + ], + "銕": [ + "ㄊㄧㄝ3", + "ㄧ2" + ], + "銖": [ + "ㄓㄨ1" + ], + "銗": [ + "ㄒㄧㄤ4", + "ㄏㄡ2" + ], + "銘": [ + "ㄇㄧㄥ2" + ], + "銙": [ + "ㄎㄨㄚ3" + ], + "銚": [ + "ㄧㄠ2", + "ㄉㄧㄠ4", + "ㄊㄧㄠ2", + "ㄑㄧㄠ1", + "ㄧㄠ4" + ], + "銛": [ + "ㄒㄧㄢ1", + "ㄊㄧㄢ3", + "ㄍㄨㄚ1" + ], + "銜": [ + "ㄒㄧㄢ2" + ], + "銝": [ + "ㄒㄧㄡ1" + ], + "銞": [ + "ㄐㄩㄣ1" + ], + "銟": [ + "ㄔㄚ1" + ], + "銠": [ + "ㄌㄠ3" + ], + "銡": [ + "ㄐㄧ2" + ], + "銢": [ + "ㄆㄧ3" + ], + "銣": [ + "ㄖㄨ2" + ], + "銤": [ + "ㄇㄧ3" + ], + "銥": [ + "ㄧ1" + ], + "銦": [ + "ㄧㄣ1" + ], + "銧": [ + "ㄍㄨㄤ1" + ], + "銨": [ + "ㄢ3" + ], + "銩": [ + "ㄉㄧㄡ1" + ], + "銪": [ + "ㄧㄡ3" + ], + "銫": [ + "ㄙㄜ4" + ], + "銬": [ + "ㄎㄠ4" + ], + "銭": [ + "ㄑㄧㄢ2" + ], + "銮": [ + "ㄌㄨㄢ2" + ], + "銯": [ + "ㄙ1" + ], + "銰": [ + "ㄞ1" + ], + "銱": [ + "ㄉㄧㄠ4" + ], + "銲": [ + "ㄏㄢ4" + ], + "銳": [ + "ㄖㄨㄟ4" + ], + "銴": [ + "ㄕ4", + "ㄓ4" + ], + "銵": [ + "ㄎㄥ1" + ], + "銶": [ + "ㄑㄧㄡ2" + ], + "銷": [ + "ㄒㄧㄠ1" + ], + "銸": [ + "ㄓㄜ2", + "ㄋㄧㄝ4" + ], + "銹": [ + "ㄒㄧㄡ4", + "ㄧㄡ4" + ], + "銺": [ + "ㄗㄤ4" + ], + "銻": [ + "ㄊㄧ2", + "ㄊㄧ1" + ], + "銼": [ + "ㄘㄨㄛ4" + ], + "銽": [ + "ㄍㄨㄚ1" + ], + "銾": [ + "ㄏㄨㄥ4", + "ㄍㄨㄥ3" + ], + "銿": [ + "ㄓㄨㄥ1", + "ㄩㄥ1" + ], + "鋀": [ + "ㄊㄡ1", + "ㄉㄡ4", + "ㄊㄨ4" + ], + "鋁": [ + "ㄌㄩ3", + "ㄌㄩ4" + ], + "鋂": [ + "ㄇㄟ2", + "ㄇㄥ2" + ], + "鋃": [ + "ㄌㄤ2" + ], + "鋄": [ + "ㄨㄢ4" + ], + "鋅": [ + "ㄒㄧㄣ1", + "ㄗ3" + ], + "鋆": [ + "ㄩㄣ2", + "ㄐㄩㄣ1" + ], + "鋇": [ + "ㄅㄟ4" + ], + "鋈": [ + "ㄨ4" + ], + "鋉": [ + "ㄙㄨ4" + ], + "鋊": [ + "ㄩ4" + ], + "鋋": [ + "ㄔㄢ2", + "ㄧㄢ2" + ], + "鋌": [ + "ㄉㄧㄥ4", + "ㄊㄧㄥ3" + ], + "鋍": [ + "ㄅㄛ2" + ], + "鋎": [ + "ㄏㄢ4" + ], + "鋏": [ + "ㄐㄧㄚ2" + ], + "鋐": [ + "ㄏㄨㄥ2" + ], + "鋑": [ + "ㄘㄨㄢ1", + "ㄐㄧㄢ1", + "ㄐㄩㄢ1" + ], + "鋒": [ + "ㄈㄥ1" + ], + "鋓": [ + "ㄔㄢ1" + ], + "鋔": [ + "ㄨㄢ3" + ], + "鋕": [ + "ㄓ4" + ], + "鋖": [ + "ㄙ1", + "ㄊㄨㄛ2" + ], + "鋗": [ + "ㄒㄩㄢ1", + "ㄐㄩㄢ1", + "ㄐㄩㄢ4" + ], + "鋘": [ + "ㄏㄨㄚ2", + "ㄨ2", + "ㄏㄨ2" + ], + "鋙": [ + "ㄩ3", + "ㄩ2", + "ㄨ2" + ], + "鋚": [ + "ㄊㄧㄠ2" + ], + "鋛": [ + "ㄎㄨㄤ4" + ], + "鋜": [ + "ㄓㄨㄛ2", + "ㄔㄨㄛ4" + ], + "鋝": [ + "ㄌㄩㄝ4" + ], + "鋞": [ + "ㄒㄧㄥ2", + "ㄒㄧㄥ4", + "ㄐㄧㄥ1" + ], + "鋟": [ + "ㄑㄧㄣ3", + "ㄑㄧㄢ1", + "ㄑㄧㄣ1", + "ㄐㄧㄣ4" + ], + "鋠": [ + "ㄕㄣ4" + ], + "鋡": [ + "ㄏㄢ2" + ], + "鋢": [ + "ㄌㄩㄝ4" + ], + "鋣": [ + "ㄧㄝ2" + ], + "鋤": [ + "ㄔㄨ2", + "ㄐㄩ3" + ], + "鋥": [ + "ㄗㄥ4" + ], + "鋦": [ + "ㄐㄩ1", + "ㄐㄩ2" + ], + "鋧": [ + "ㄒㄧㄢ4" + ], + "鋨": [ + "ㄊㄧㄝ3", + "ㄜ2" + ], + "鋩": [ + "ㄇㄤ2" + ], + "鋪": [ + "ㄆㄨ4", + "ㄆㄨ1" + ], + "鋫": [ + "ㄌㄧ2" + ], + "鋬": [ + "ㄆㄢ4" + ], + "鋭": [ + "ㄖㄨㄟ4", + "ㄉㄨㄟ4", + "ㄩㄝ4" + ], + "鋮": [ + "ㄔㄥ2" + ], + "鋯": [ + "ㄍㄠ4" + ], + "鋰": [ + "ㄌㄧ3" + ], + "鋱": [ + "ㄊㄜ4" + ], + "鋲": [ + "ㄅㄧㄥ1" + ], + "鋳": [ + "ㄓㄨ4" + ], + "鋴": [ + "ㄓㄣ4" + ], + "鋵": [ + "ㄊㄨ1" + ], + "鋶": [ + "ㄌㄧㄡ3" + ], + "鋷": [ + "ㄗㄨㄟ4", + "ㄋㄧㄝ4" + ], + "鋸": [ + "ㄐㄩ4", + "ㄐㄩ1" + ], + "鋹": [ + "ㄔㄤ3" + ], + "鋺": [ + "ㄩㄢ3", + "ㄩㄢ1", + "ㄨㄢ3", + "ㄨㄢ1" + ], + "鋻": [ + "ㄐㄧㄢ4", + "ㄐㄧㄢ1" + ], + "鋼": [ + "ㄍㄤ1", + "ㄍㄤ4" + ], + "鋽": [ + "ㄉㄧㄠ4" + ], + "鋾": [ + "ㄊㄠ2" + ], + "鋿": [ + "ㄔㄤ2" + ], + "錀": [ + "ㄌㄨㄣ2", + "ㄈㄣ1" + ], + "錁": [ + "ㄍㄨㄛ3", + "ㄎㄨㄚ3", + "ㄎㄜ4" + ], + "錂": [ + "ㄌㄧㄥ2" + ], + "錃": [ + "ㄆㄧ1" + ], + "錄": [ + "ㄌㄨ4" + ], + "錅": [ + "ㄌㄧ2" + ], + "錆": [ + "ㄑㄧㄤ1" + ], + "錇": [ + "ㄆㄡ2", + "ㄈㄨ2", + "ㄆㄟ2" + ], + "錈": [ + "ㄐㄩㄢ3" + ], + "錉": [ + "ㄇㄧㄣ2" + ], + "錊": [ + "ㄗㄨㄟ4", + "ㄗㄨ1" + ], + "錋": [ + "ㄆㄥ2", + "ㄅㄥ4" + ], + "錌": [ + "ㄢ4" + ], + "錍": [ + "ㄆㄧ1", + "ㄅㄟ1", + "ㄅㄧ1", + "ㄆㄧ2" + ], + "錎": [ + "ㄒㄧㄢ4", + "ㄍㄢ4", + "ㄑㄧㄢ4" + ], + "錏": [ + "ㄧㄚ1", + "ㄧㄚ4" + ], + "錐": [ + "ㄓㄨㄟ1" + ], + "錑": [ + "ㄌㄟ4", + "ㄌㄧ4" + ], + "錒": [ + "ㄎㄜ1", + "ㄚ1" + ], + "錓": [ + "ㄎㄨㄥ1" + ], + "錔": [ + "ㄊㄚ4" + ], + "錕": [ + "ㄎㄨㄣ1", + "ㄍㄨㄣ3" + ], + "錖": [ + "ㄉㄨ2" + ], + "錗": [ + "ㄋㄟ4", + "ㄓㄨㄟ4", + "ㄨㄟ4" + ], + "錘": [ + "ㄔㄨㄟ2" + ], + "錙": [ + "ㄗ1" + ], + "錚": [ + "ㄓㄥ1" + ], + "錛": [ + "ㄅㄣ1" + ], + "錜": [ + "ㄋㄧㄝ4" + ], + "錝": [ + "ㄗㄨㄥ4" + ], + "錞": [ + "ㄔㄨㄣ2", + "ㄉㄨㄟ4", + "ㄉㄨㄛ4" + ], + "錟": [ + "ㄊㄢ2", + "ㄒㄧㄢ1", + "ㄧㄢ3" + ], + "錠": [ + "ㄉㄧㄥ4" + ], + "錡": [ + "ㄑㄧ2", + "ㄧ3" + ], + "錢": [ + "ㄑㄧㄢ2", + "ㄐㄧㄢ3" + ], + "錣": [ + "ㄓㄨㄟ4", + "ㄔㄨㄛ4" + ], + "錤": [ + "ㄐㄧ1" + ], + "錥": [ + "ㄩ4" + ], + "錦": [ + "ㄐㄧㄣ3" + ], + "錧": [ + "ㄍㄨㄢ3" + ], + "錨": [ + "ㄇㄠ2" + ], + "錩": [ + "ㄔㄤ1" + ], + "錪": [ + "ㄊㄧㄢ3", + "ㄊㄨㄣ3" + ], + "錫": [ + "ㄒㄧ1", + "ㄊㄧ4" + ], + "錬": [ + "ㄌㄧㄢ4" + ], + "錭": [ + "ㄊㄠ2", + "ㄉㄧㄠ1" + ], + "錮": [ + "ㄍㄨ4" + ], + "錯": [ + "ㄘㄨㄛ4", + "ㄘㄨ4", + "ㄒㄧ1" + ], + "錰": [ + "ㄕㄨ4" + ], + "錱": [ + "ㄓㄣ1" + ], + "録": [ + "ㄌㄨ4", + "ㄌㄩ4" + ], + "錳": [ + "ㄇㄥ3" + ], + "錴": [ + "ㄌㄨ4" + ], + "錵": [ + "ㄏㄨㄚ1" + ], + "錶": [ + "ㄅㄧㄠ3" + ], + "錷": [ + "ㄍㄚ2" + ], + "錸": [ + "ㄌㄞ2" + ], + "錹": [ + "ㄎㄣ3" + ], + "錺": [ + "ㄈㄤ1" + ], + "錻": [ + "ㄨ5" + ], + "錼": [ + "ㄋㄞ4" + ], + "錽": [ + "ㄨㄢ4", + "ㄐㄧㄢ3" + ], + "錾": [ + "ㄗㄢ4" + ], + "錿": [ + "ㄏㄨ3" + ], + "鍀": [ + "ㄉㄜ2" + ], + "鍁": [ + "ㄒㄧㄢ1" + ], + "鍂": [ + "ㄆㄧㄢ1" + ], + "鍃": [ + "ㄏㄨㄛ1" + ], + "鍄": [ + "ㄌㄧㄤ4" + ], + "鍅": [ + "ㄈㄚ3" + ], + "鍆": [ + "ㄇㄣ2" + ], + "鍇": [ + "ㄎㄞ3", + "ㄐㄧㄝ1", + "ㄐㄧㄝ3" + ], + "鍈": [ + "ㄧㄥ1" + ], + "鍉": [ + "ㄉㄧ1", + "ㄔ2", + "ㄉㄧ2", + "ㄕ4" + ], + "鍊": [ + "ㄌㄧㄢ4", + "ㄐㄧㄢ4" + ], + "鍋": [ + "ㄍㄨㄛ1", + "ㄍㄨㄛ3" + ], + "鍌": [ + "ㄒㄧㄢ3" + ], + "鍍": [ + "ㄉㄨ4" + ], + "鍎": [ + "ㄊㄨ2" + ], + "鍏": [ + "ㄨㄟ2" + ], + "鍐": [ + "ㄗㄨㄥ1" + ], + "鍑": [ + "ㄈㄨ4" + ], + "鍒": [ + "ㄖㄡ2" + ], + "鍓": [ + "ㄐㄧ2" + ], + "鍔": [ + "ㄜ4" + ], + "鍕": [ + "ㄐㄩㄣ1" + ], + "鍖": [ + "ㄔㄣ3", + "ㄓㄣ1" + ], + "鍗": [ + "ㄊㄧ2" + ], + "鍘": [ + "ㄓㄚ2" + ], + "鍙": [ + "ㄏㄨ4" + ], + "鍚": [ + "ㄧㄤ2" + ], + "鍛": [ + "ㄉㄨㄢ4" + ], + "鍜": [ + "ㄒㄧㄚ2" + ], + "鍝": [ + "ㄩ2" + ], + "鍞": [ + "ㄎㄥ1" + ], + "鍟": [ + "ㄕㄥ1" + ], + "鍠": [ + "ㄏㄨㄤ2" + ], + "鍡": [ + "ㄨㄟ3" + ], + "鍢": [ + "ㄈㄨ4" + ], + "鍣": [ + "ㄓㄠ1" + ], + "鍤": [ + "ㄔㄚ1" + ], + "鍥": [ + "ㄑㄧㄝ4" + ], + "鍦": [ + "ㄕ1", + "ㄕㄜ2" + ], + "鍧": [ + "ㄏㄨㄥ1" + ], + "鍨": [ + "ㄎㄨㄟ2" + ], + "鍩": [ + "ㄊㄧㄢ3", + "ㄋㄨㄛ4" + ], + "鍪": [ + "ㄇㄡ2" + ], + "鍫": [ + "ㄑㄧㄠ1" + ], + "鍬": [ + "ㄑㄧㄠ1" + ], + "鍭": [ + "ㄏㄡ2" + ], + "鍮": [ + "ㄊㄡ1" + ], + "鍯": [ + "ㄘㄨㄥ1" + ], + "鍰": [ + "ㄏㄨㄢ2" + ], + "鍱": [ + "ㄧㄝ4", + "ㄒㄧㄝ2" + ], + "鍲": [ + "ㄇㄧㄣ2" + ], + "鍳": [ + "ㄐㄧㄢ4" + ], + "鍴": [ + "ㄉㄨㄢ1" + ], + "鍵": [ + "ㄐㄧㄢ4" + ], + "鍶": [ + "ㄙㄨㄥ1", + "ㄙ1" + ], + "鍷": [ + "ㄎㄨㄟ2" + ], + "鍸": [ + "ㄏㄨ2" + ], + "鍹": [ + "ㄒㄩㄢ1" + ], + "鍺": [ + "ㄉㄨㄛ3", + "ㄉㄨ3", + "ㄓㄜ3" + ], + "鍻": [ + "ㄐㄧㄝ2" + ], + "鍼": [ + "ㄓㄣ1", + "ㄑㄧㄢ2" + ], + "鍽": [ + "ㄅㄧㄢ1" + ], + "鍾": [ + "ㄓㄨㄥ1" + ], + "鍿": [ + "ㄗ1" + ], + "鎀": [ + "ㄒㄧㄡ1" + ], + "鎁": [ + "ㄧㄝ2" + ], + "鎂": [ + "ㄇㄟ3" + ], + "鎃": [ + "ㄆㄞ4" + ], + "鎄": [ + "ㄞ1" + ], + "鎅": [ + "ㄐㄧㄝ4" + ], + "鎆": [ + "ㄑㄧㄢ5" + ], + "鎇": [ + "ㄇㄟ2" + ], + "鎈": [ + "ㄙㄨㄛ3", + "ㄔㄚ1" + ], + "鎉": [ + "ㄉㄚ2", + "ㄊㄚ4" + ], + "鎊": [ + "ㄅㄤ4", + "ㄆㄤ1" + ], + "鎋": [ + "ㄒㄧㄚ2" + ], + "鎌": [ + "ㄌㄧㄢ2" + ], + "鎍": [ + "ㄙㄨㄛ3", + "ㄙㄜ4" + ], + "鎎": [ + "ㄎㄞ4" + ], + "鎏": [ + "ㄌㄧㄡ2" + ], + "鎐": [ + "ㄧㄠ2", + "ㄗㄨ2" + ], + "鎑": [ + "ㄧㄝ4", + "ㄊㄚ4", + "ㄍㄜ2" + ], + "鎒": [ + "ㄋㄡ4", + "ㄏㄠ1" + ], + "鎓": [ + "ㄨㄥ1" + ], + "鎔": [ + "ㄖㄨㄥ2" + ], + "鎕": [ + "ㄊㄤ2" + ], + "鎖": [ + "ㄙㄨㄛ3" + ], + "鎗": [ + "ㄑㄧㄤ1", + "ㄔㄥ1", + "ㄑㄧㄤ4" + ], + "鎘": [ + "ㄌㄧ4", + "ㄍㄜ2" + ], + "鎙": [ + "ㄕㄨㄛ4" + ], + "鎚": [ + "ㄔㄨㄟ2", + "ㄉㄨㄟ1", + "ㄓㄨㄟ4" + ], + "鎛": [ + "ㄅㄛ2" + ], + "鎜": [ + "ㄆㄢ2" + ], + "鎝": [ + "ㄉㄚ1", + "ㄙㄚ4" + ], + "鎞": [ + "ㄅㄧ1", + "ㄆㄧ1" + ], + "鎟": [ + "ㄙㄤ3" + ], + "鎠": [ + "ㄍㄤ1" + ], + "鎡": [ + "ㄗ1" + ], + "鎢": [ + "ㄨ1" + ], + "鎣": [ + "ㄧㄥ2", + "ㄧㄥ1", + "ㄐㄩㄥ3" + ], + "鎤": [ + "ㄏㄨㄤ4" + ], + "鎥": [ + "ㄊㄧㄠ2" + ], + "鎦": [ + "ㄌㄧㄡ2", + "ㄌㄧㄡ4" + ], + "鎧": [ + "ㄎㄞ3" + ], + "鎨": [ + "ㄙㄨㄣ3" + ], + "鎩": [ + "ㄕㄚ1", + "ㄕ4", + "ㄙㄜ4" + ], + "鎪": [ + "ㄙㄡ1" + ], + "鎫": [ + "ㄨㄢ4" + ], + "鎬": [ + "ㄏㄠ4", + "ㄍㄠ3" + ], + "鎭": [ + "ㄓㄣ4" + ], + "鎮": [ + "ㄓㄣ4", + "ㄓㄣ1", + "ㄊㄧㄢ2" + ], + "鎯": [ + "ㄌㄤ2", + "ㄌㄨㄛ3" + ], + "鎰": [ + "ㄧ4" + ], + "鎱": [ + "ㄩㄢ2" + ], + "鎲": [ + "ㄊㄤ3" + ], + "鎳": [ + "ㄋㄧㄝ4" + ], + "鎴": [ + "ㄒㄧ2" + ], + "鎵": [ + "ㄐㄧㄚ1" + ], + "鎶": [ + "ㄍㄜ1" + ], + "鎷": [ + "ㄇㄚ3" + ], + "鎸": [ + "ㄐㄩㄢ1" + ], + "鎹": [ + "ㄙㄨㄥ4" + ], + "鎺": [ + "ㄗㄨ3" + ], + "鎻": [ + "ㄙㄨㄛ3" + ], + "鎼": [ + "ㄒㄧㄚ4" + ], + "鎽": [ + "ㄈㄥ1" + ], + "鎾": [ + "ㄨㄣ1" + ], + "鎿": [ + "ㄋㄚ2" + ], + "鏀": [ + "ㄌㄨ3" + ], + "鏁": [ + "ㄙㄨㄛ3" + ], + "鏂": [ + "ㄡ1", + "ㄎㄡ1" + ], + "鏃": [ + "ㄗㄨ2", + "ㄔㄨㄛ4" + ], + "鏄": [ + "ㄊㄨㄢ2" + ], + "鏅": [ + "ㄒㄧㄡ1", + "ㄒㄧㄡ4" + ], + "鏆": [ + "ㄍㄨㄢ4" + ], + "鏇": [ + "ㄒㄩㄢ4", + "ㄒㄩㄢ2" + ], + "鏈": [ + "ㄌㄧㄢ4", + "ㄌㄧㄢ2" + ], + "鏉": [ + "ㄕㄡ4", + "ㄙㄡ1" + ], + "鏊": [ + "ㄠ4" + ], + "鏋": [ + "ㄇㄢ3" + ], + "鏌": [ + "ㄇㄛ4" + ], + "鏍": [ + "ㄌㄨㄛ2" + ], + "鏎": [ + "ㄅㄧ4" + ], + "鏏": [ + "ㄨㄟ4" + ], + "鏐": [ + "ㄌㄧㄡ2", + "ㄌㄧㄡ4", + "ㄌㄧㄠ2" + ], + "鏑": [ + "ㄉㄧ2", + "ㄉㄧ1" + ], + "鏒": [ + "ㄙㄢ3", + "ㄑㄧㄠ1", + "ㄘㄢ4" + ], + "鏓": [ + "ㄗㄨㄥ3", + "ㄘㄨㄥ1" + ], + "鏔": [ + "ㄧ2" + ], + "鏕": [ + "ㄌㄨ4", + "ㄠ2" + ], + "鏖": [ + "ㄠ2", + "ㄅㄧㄠ1" + ], + "鏗": [ + "ㄎㄥ1" + ], + "鏘": [ + "ㄑㄧㄤ1" + ], + "鏙": [ + "ㄘㄨㄟ1" + ], + "鏚": [ + "ㄑㄧ1" + ], + "鏛": [ + "ㄔㄤ2" + ], + "鏜": [ + "ㄊㄤ1", + "ㄊㄤ2" + ], + "鏝": [ + "ㄇㄢ4" + ], + "鏞": [ + "ㄩㄥ1" + ], + "鏟": [ + "ㄔㄢ3" + ], + "鏠": [ + "ㄈㄥ1" + ], + "鏡": [ + "ㄐㄧㄥ4" + ], + "鏢": [ + "ㄅㄧㄠ1" + ], + "鏣": [ + "ㄕㄨ4" + ], + "鏤": [ + "ㄌㄡ4", + "ㄌㄩ2" + ], + "鏥": [ + "ㄒㄧㄡ4" + ], + "鏦": [ + "ㄘㄨㄥ1" + ], + "鏧": [ + "ㄌㄨㄥ2" + ], + "鏨": [ + "ㄗㄢ4" + ], + "鏩": [ + "ㄐㄧㄢ4", + "ㄗㄢ4" + ], + "鏪": [ + "ㄘㄠ2" + ], + "鏫": [ + "ㄌㄧ2" + ], + "鏬": [ + "ㄒㄧㄚ4" + ], + "鏭": [ + "ㄒㄧ1" + ], + "鏮": [ + "ㄎㄤ1" + ], + "鏯": [ + "ㄕㄨㄤ3" + ], + "鏰": [ + "ㄅㄥ4" + ], + "鏱": [ + "ㄓㄤ5" + ], + "鏲": [ + "ㄑㄧㄢ5" + ], + "鏳": [ + "ㄔㄥ1" + ], + "鏴": [ + "ㄌㄨ4" + ], + "鏵": [ + "ㄏㄨㄚ2" + ], + "鏶": [ + "ㄐㄧ2" + ], + "鏷": [ + "ㄆㄨ2" + ], + "鏸": [ + "ㄏㄨㄟ4", + "ㄙㄨㄟ4", + "ㄖㄨㄟ4" + ], + "鏹": [ + "ㄑㄧㄤ3", + "ㄑㄧㄤ1" + ], + "鏺": [ + "ㄆㄛ1" + ], + "鏻": [ + "ㄌㄧㄣ2" + ], + "鏼": [ + "ㄙㄜ4" + ], + "鏽": [ + "ㄒㄧㄡ4" + ], + "鏾": [ + "ㄙㄢ3", + "ㄒㄧㄢ4", + "ㄙㄚ4" + ], + "鏿": [ + "ㄔㄥ1" + ], + "鐀": [ + "ㄎㄨㄟ4", + "ㄍㄨㄟ4" + ], + "鐁": [ + "ㄙ1" + ], + "鐂": [ + "ㄌㄧㄡ2" + ], + "鐃": [ + "ㄋㄠ2", + "ㄋㄠ4" + ], + "鐄": [ + "ㄏㄨㄤ2" + ], + "鐅": [ + "ㄆㄧㄝ3" + ], + "鐆": [ + "ㄙㄨㄟ4" + ], + "鐇": [ + "ㄈㄢ2" + ], + "鐈": [ + "ㄑㄧㄠ2" + ], + "鐉": [ + "ㄑㄩㄢ1" + ], + "鐊": [ + "ㄧㄤ2" + ], + "鐋": [ + "ㄊㄤ1", + "ㄊㄤ4" + ], + "鐌": [ + "ㄒㄧㄤ4" + ], + "鐍": [ + "ㄐㄩㄝ2", + "ㄩ4" + ], + "鐎": [ + "ㄐㄧㄠ1" + ], + "鐏": [ + "ㄗㄨㄣ1" + ], + "鐐": [ + "ㄌㄧㄠ2" + ], + "鐑": [ + "ㄑㄧㄝ4" + ], + "鐒": [ + "ㄌㄠ2" + ], + "鐓": [ + "ㄉㄨㄟ4", + "ㄉㄨㄟ1", + "ㄉㄨㄣ1" + ], + "鐔": [ + "ㄒㄧㄣ2" + ], + "鐕": [ + "ㄗㄢ1" + ], + "鐖": [ + "ㄐㄧ1", + "ㄑㄧ2" + ], + "鐗": [ + "ㄐㄧㄢ3" + ], + "鐘": [ + "ㄓㄨㄥ1" + ], + "鐙": [ + "ㄉㄥ4", + "ㄉㄥ1" + ], + "鐚": [ + "ㄧㄚ1" + ], + "鐛": [ + "ㄧㄥ3" + ], + "鐜": [ + "ㄉㄨㄟ1", + "ㄉㄨㄣ1" + ], + "鐝": [ + "ㄐㄩㄝ2" + ], + "鐞": [ + "ㄋㄡ4" + ], + "鐟": [ + "ㄗㄢ1", + "ㄊㄧ4" + ], + "鐠": [ + "ㄆㄨ3" + ], + "鐡": [ + "ㄊㄧㄝ3" + ], + "鐢": [ + "ㄈㄢ2" + ], + "鐣": [ + "ㄔㄥ1" + ], + "鐤": [ + "ㄉㄧㄥ3" + ], + "鐥": [ + "ㄕㄢ4" + ], + "鐦": [ + "ㄎㄞ1" + ], + "鐧": [ + "ㄐㄧㄢ1", + "ㄐㄧㄢ3" + ], + "鐨": [ + "ㄈㄟ4" + ], + "鐩": [ + "ㄙㄨㄟ4" + ], + "鐪": [ + "ㄌㄨ3" + ], + "鐫": [ + "ㄐㄩㄢ1" + ], + "鐬": [ + "ㄏㄨㄟ4" + ], + "鐭": [ + "ㄩ4" + ], + "鐮": [ + "ㄌㄧㄢ2" + ], + "鐯": [ + "ㄓㄨㄛ2" + ], + "鐰": [ + "ㄑㄧㄠ1", + "ㄙㄠ4", + "ㄘㄠ2" + ], + "鐱": [ + "ㄐㄧㄢ4", + "ㄑㄧㄢ1" + ], + "鐲": [ + "ㄓㄨㄛ2", + "ㄕㄨ3" + ], + "鐳": [ + "ㄌㄟ2" + ], + "鐴": [ + "ㄅㄧ4", + "ㄅㄟ4" + ], + "鐵": [ + "ㄊㄧㄝ3", + "ㄉㄧㄝ2" + ], + "鐶": [ + "ㄏㄨㄢ2", + "ㄒㄩㄢ4" + ], + "鐷": [ + "ㄧㄝ4" + ], + "鐸": [ + "ㄉㄨㄛ2" + ], + "鐹": [ + "ㄍㄨㄛ3", + "ㄍㄨㄛ1" + ], + "鐺": [ + "ㄉㄤ1", + "ㄔㄥ1", + "ㄊㄤ1" + ], + "鐻": [ + "ㄐㄩ4", + "ㄑㄩ2" + ], + "鐼": [ + "ㄈㄣ2", + "ㄅㄣ1" + ], + "鐽": [ + "ㄉㄚ2" + ], + "鐾": [ + "ㄅㄟ4" + ], + "鐿": [ + "ㄧ4" + ], + "鑀": [ + "ㄞ4" + ], + "鑁": [ + "ㄗㄨㄥ1" + ], + "鑂": [ + "ㄒㄩㄣ4" + ], + "鑃": [ + "ㄉㄧㄠ4" + ], + "鑄": [ + "ㄓㄨ4" + ], + "鑅": [ + "ㄏㄥ2" + ], + "鑆": [ + "ㄓㄨㄟ4" + ], + "鑇": [ + "ㄐㄧ1" + ], + "鑈": [ + "ㄋㄧㄝ4", + "ㄋㄧ3" + ], + "鑉": [ + "ㄏㄜ2" + ], + "鑊": [ + "ㄏㄨㄛ4" + ], + "鑋": [ + "ㄑㄧㄥ1" + ], + "鑌": [ + "ㄅㄧㄣ1" + ], + "鑍": [ + "ㄧㄥ1" + ], + "鑎": [ + "ㄎㄨㄟ4" + ], + "鑏": [ + "ㄋㄧㄥ2", + "ㄋㄧㄥ3" + ], + "鑐": [ + "ㄒㄩ1", + "ㄖㄨ2", + "ㄖㄡ2" + ], + "鑑": [ + "ㄐㄧㄢ4" + ], + "鑒": [ + "ㄐㄧㄢ4" + ], + "鑓": [ + "ㄑㄧㄢ3" + ], + "鑔": [ + "ㄔㄚ3" + ], + "鑕": [ + "ㄓ4" + ], + "鑖": [ + "ㄇㄧㄝ4", + "ㄇㄧ4" + ], + "鑗": [ + "ㄌㄧ2" + ], + "鑘": [ + "ㄌㄟ2", + "ㄌㄟ3" + ], + "鑙": [ + "ㄐㄧ1" + ], + "鑚": [ + "ㄗㄨㄢ4" + ], + "鑛": [ + "ㄎㄨㄤ4", + "ㄍㄨㄥ3" + ], + "鑜": [ + "ㄕㄤ3" + ], + "鑝": [ + "ㄆㄥ2" + ], + "鑞": [ + "ㄌㄚ4" + ], + "鑟": [ + "ㄉㄨ2" + ], + "鑠": [ + "ㄕㄨㄛ4", + "ㄩㄝ4", + "ㄌㄧ4" + ], + "鑡": [ + "ㄔㄨㄛ4" + ], + "鑢": [ + "ㄌㄩ4" + ], + "鑣": [ + "ㄅㄧㄠ1" + ], + "鑤": [ + "ㄅㄠ4" + ], + "鑥": [ + "ㄌㄨ3" + ], + "鑦": [ + "ㄒㄧㄢ5" + ], + "鑧": [ + "ㄎㄨㄢ1" + ], + "鑨": [ + "ㄌㄨㄥ2" + ], + "鑩": [ + "ㄜ4" + ], + "鑪": [ + "ㄌㄨ2" + ], + "鑫": [ + "ㄒㄧㄣ1", + "ㄒㄩㄣ4" + ], + "鑬": [ + "ㄐㄧㄢ4" + ], + "鑭": [ + "ㄌㄢ4", + "ㄌㄢ2" + ], + "鑮": [ + "ㄅㄛ2" + ], + "鑯": [ + "ㄐㄧㄢ1", + "ㄑㄧㄢ1" + ], + "鑰": [ + "ㄧㄠ4", + "ㄩㄝ4" + ], + "鑱": [ + "ㄔㄢ2" + ], + "鑲": [ + "ㄒㄧㄤ1", + "ㄖㄤ2" + ], + "鑳": [ + "ㄐㄧㄢ4" + ], + "鑴": [ + "ㄒㄧ1", + "ㄏㄨㄟ1" + ], + "鑵": [ + "ㄍㄨㄢ4" + ], + "鑶": [ + "ㄘㄤ2" + ], + "鑷": [ + "ㄋㄧㄝ4" + ], + "鑸": [ + "ㄌㄟ3" + ], + "鑹": [ + "ㄘㄨㄢ1", + "ㄘㄨㄢ4" + ], + "鑺": [ + "ㄑㄩ2" + ], + "鑻": [ + "ㄆㄢ4" + ], + "鑼": [ + "ㄌㄨㄛ2" + ], + "鑽": [ + "ㄗㄨㄢ1", + "ㄗㄨㄢ4" + ], + "鑾": [ + "ㄌㄨㄢ2" + ], + "鑿": [ + "ㄗㄠ2", + "ㄗㄨㄛ4", + "ㄗㄨ2", + "ㄗㄠ4" + ], + "钀": [ + "ㄋㄧㄝ4", + "ㄧ3" + ], + "钁": [ + "ㄐㄩㄝ2" + ], + "钂": [ + "ㄊㄤ3" + ], + "钃": [ + "ㄓㄨ2" + ], + "钄": [ + "ㄌㄢ2" + ], + "钅": [ + "ㄐㄧㄣ1" + ], + "钆": [ + "ㄍㄚ2" + ], + "钇": [ + "ㄧ3" + ], + "针": [ + "ㄓㄣ1" + ], + "钉": [ + "ㄉㄧㄥ1", + "ㄉㄧㄥ4" + ], + "钊": [ + "ㄓㄠ1" + ], + "钋": [ + "ㄆㄛ1" + ], + "钌": [ + "ㄌㄧㄠ3", + "ㄌㄧㄠ4" + ], + "钍": [ + "ㄊㄨ3" + ], + "钎": [ + "ㄑㄧㄢ1" + ], + "钏": [ + "ㄔㄨㄢ4" + ], + "钐": [ + "ㄕㄢ1", + "ㄕㄢ4" + ], + "钑": [ + "ㄙㄚ4" + ], + "钒": [ + "ㄈㄢ2" + ], + "钓": [ + "ㄉㄧㄠ4" + ], + "钔": [ + "ㄇㄣ2" + ], + "钕": [ + "ㄋㄩ3" + ], + "钖": [ + "ㄧㄤ2" + ], + "钗": [ + "ㄔㄞ1" + ], + "钘": [ + "ㄒㄧㄥ2" + ], + "钙": [ + "ㄍㄞ4" + ], + "钚": [ + "ㄅㄨ4" + ], + "钛": [ + "ㄊㄞ4" + ], + "钜": [ + "ㄐㄩ4" + ], + "钝": [ + "ㄉㄨㄣ4" + ], + "钞": [ + "ㄔㄠ1" + ], + "钟": [ + "ㄓㄨㄥ1" + ], + "钠": [ + "ㄋㄚ4" + ], + "钡": [ + "ㄅㄟ4" + ], + "钢": [ + "ㄍㄤ1", + "ㄍㄤ4" + ], + "钣": [ + "ㄅㄢ3" + ], + "钤": [ + "ㄑㄧㄢ2" + ], + "钥": [ + "ㄧㄠ4", + "ㄩㄝ4" + ], + "钦": [ + "ㄑㄧㄣ1" + ], + "钧": [ + "ㄐㄩㄣ1" + ], + "钨": [ + "ㄨ1" + ], + "钩": [ + "ㄍㄡ1" + ], + "钪": [ + "ㄎㄤ4" + ], + "钫": [ + "ㄈㄤ1" + ], + "钬": [ + "ㄏㄨㄛ3" + ], + "钭": [ + "ㄊㄡ3", + "ㄉㄡ3" + ], + "钮": [ + "ㄋㄧㄡ3" + ], + "钯": [ + "ㄅㄚ3", + "ㄆㄚ2" + ], + "钰": [ + "ㄩ4" + ], + "钱": [ + "ㄑㄧㄢ2" + ], + "钲": [ + "ㄓㄥ1" + ], + "钳": [ + "ㄑㄧㄢ2" + ], + "钴": [ + "ㄍㄨ3" + ], + "钵": [ + "ㄅㄛ1" + ], + "钶": [ + "ㄎㄜ1" + ], + "钷": [ + "ㄆㄛ3" + ], + "钸": [ + "ㄅㄨ1" + ], + "钹": [ + "ㄅㄛ2" + ], + "钺": [ + "ㄩㄝ4" + ], + "钻": [ + "ㄗㄨㄢ1", + "ㄗㄨㄢ4" + ], + "钼": [ + "ㄇㄨ4" + ], + "钽": [ + "ㄊㄢ3" + ], + "钾": [ + "ㄐㄧㄚ3" + ], + "钿": [ + "ㄉㄧㄢ4", + "ㄊㄧㄢ2" + ], + "铀": [ + "ㄧㄡ2" + ], + "铁": [ + "ㄊㄧㄝ3" + ], + "铂": [ + "ㄅㄛ2" + ], + "铃": [ + "ㄌㄧㄥ2" + ], + "铄": [ + "ㄕㄨㄛ4" + ], + "铅": [ + "ㄑㄧㄢ1", + "ㄧㄢ2" + ], + "铆": [ + "ㄇㄠ3" + ], + "铇": [ + "ㄅㄠ4" + ], + "铈": [ + "ㄕ4" + ], + "铉": [ + "ㄒㄩㄢ4" + ], + "铊": [ + "ㄊㄚ1", + "ㄊㄨㄛ2" + ], + "铋": [ + "ㄅㄧ4" + ], + "铌": [ + "ㄋㄧ2" + ], + "铍": [ + "ㄆㄧ1", + "ㄆㄧ2" + ], + "铎": [ + "ㄉㄨㄛ2" + ], + "铏": [ + "ㄒㄧㄥ2" + ], + "铐": [ + "ㄎㄠ4" + ], + "铑": [ + "ㄌㄠ3" + ], + "铒": [ + "ㄦ3" + ], + "铓": [ + "ㄇㄤ2" + ], + "铔": [ + "ㄧㄚ1" + ], + "铕": [ + "ㄧㄡ3" + ], + "铖": [ + "ㄔㄥ2" + ], + "铗": [ + "ㄐㄧㄚ2" + ], + "铘": [ + "ㄧㄝ2" + ], + "铙": [ + "ㄋㄠ2" + ], + "铚": [ + "ㄓ4" + ], + "铛": [ + "ㄉㄤ1", + "ㄔㄥ1" + ], + "铜": [ + "ㄊㄨㄥ2" + ], + "铝": [ + "ㄌㄩ3" + ], + "铞": [ + "ㄉㄧㄠ4" + ], + "铟": [ + "ㄧㄣ1" + ], + "铠": [ + "ㄎㄞ3" + ], + "铡": [ + "ㄓㄚ2" + ], + "铢": [ + "ㄓㄨ1" + ], + "铣": [ + "ㄒㄧ3", + "ㄒㄧㄢ3" + ], + "铤": [ + "ㄉㄧㄥ4", + "ㄊㄧㄥ3" + ], + "铥": [ + "ㄉㄧㄡ1" + ], + "铦": [ + "ㄒㄧㄢ1" + ], + "铧": [ + "ㄏㄨㄚ2" + ], + "铨": [ + "ㄑㄩㄢ2" + ], + "铩": [ + "ㄕㄚ1" + ], + "铪": [ + "ㄏㄚ1" + ], + "铫": [ + "ㄉㄧㄠ4", + "ㄧㄠ2" + ], + "铬": [ + "ㄍㄜ4" + ], + "铭": [ + "ㄇㄧㄥ2" + ], + "铮": [ + "ㄓㄥ1", + "ㄓㄥ4" + ], + "铯": [ + "ㄙㄜ4" + ], + "铰": [ + "ㄐㄧㄠ3" + ], + "铱": [ + "ㄧ1" + ], + "铲": [ + "ㄔㄢ3" + ], + "铳": [ + "ㄔㄨㄥ4" + ], + "铴": [ + "ㄊㄤ1" + ], + "铵": [ + "ㄢ3" + ], + "银": [ + "ㄧㄣ2" + ], + "铷": [ + "ㄖㄨ2" + ], + "铸": [ + "ㄓㄨ4" + ], + "铹": [ + "ㄌㄠ2" + ], + "铺": [ + "ㄆㄨ4", + "ㄆㄨ1" + ], + "铻": [ + "ㄨ2", + "ㄩ3" + ], + "铼": [ + "ㄌㄞ2" + ], + "铽": [ + "ㄊㄜ4" + ], + "链": [ + "ㄌㄧㄢ4" + ], + "铿": [ + "ㄎㄥ1" + ], + "销": [ + "ㄒㄧㄠ1" + ], + "锁": [ + "ㄙㄨㄛ3" + ], + "锂": [ + "ㄌㄧ3" + ], + "锃": [ + "ㄗㄥ4" + ], + "锄": [ + "ㄔㄨ2" + ], + "锅": [ + "ㄍㄨㄛ1" + ], + "锆": [ + "ㄍㄠ4" + ], + "锇": [ + "ㄜ2" + ], + "锈": [ + "ㄒㄧㄡ4" + ], + "锉": [ + "ㄘㄨㄛ4" + ], + "锊": [ + "ㄌㄩㄝ4" + ], + "锋": [ + "ㄈㄥ1" + ], + "锌": [ + "ㄒㄧㄣ1" + ], + "锍": [ + "ㄌㄧㄡ3" + ], + "锎": [ + "ㄎㄞ1" + ], + "锏": [ + "ㄐㄧㄢ3", + "ㄐㄧㄢ4" + ], + "锐": [ + "ㄖㄨㄟ4" + ], + "锑": [ + "ㄊㄧ1" + ], + "锒": [ + "ㄌㄤ2" + ], + "锓": [ + "ㄑㄧㄣ3" + ], + "锔": [ + "ㄐㄩ1", + "ㄐㄩ2" + ], + "锕": [ + "ㄚ1" + ], + "锖": [ + "ㄑㄧㄤ1" + ], + "锗": [ + "ㄓㄜ3" + ], + "锘": [ + "ㄋㄨㄛ4" + ], + "错": [ + "ㄘㄨㄛ4" + ], + "锚": [ + "ㄇㄠ2" + ], + "锛": [ + "ㄅㄣ1" + ], + "锜": [ + "ㄑㄧ2" + ], + "锝": [ + "ㄉㄜ2" + ], + "锞": [ + "ㄎㄜ4" + ], + "锟": [ + "ㄎㄨㄣ1" + ], + "锠": [ + "ㄔㄤ1" + ], + "锡": [ + "ㄒㄧ1" + ], + "锢": [ + "ㄍㄨ4" + ], + "锣": [ + "ㄌㄨㄛ2" + ], + "锤": [ + "ㄔㄨㄟ2" + ], + "锥": [ + "ㄓㄨㄟ1" + ], + "锦": [ + "ㄐㄧㄣ3" + ], + "锧": [ + "ㄓ4" + ], + "锨": [ + "ㄒㄧㄢ1" + ], + "锩": [ + "ㄐㄩㄢ3" + ], + "锪": [ + "ㄏㄨㄛ1" + ], + "锫": [ + "ㄆㄟ2" + ], + "锬": [ + "ㄊㄢ2", + "ㄒㄧㄢ1" + ], + "锭": [ + "ㄉㄧㄥ4" + ], + "键": [ + "ㄐㄧㄢ4" + ], + "锯": [ + "ㄐㄩ4", + "ㄐㄩ1" + ], + "锰": [ + "ㄇㄥ3" + ], + "锱": [ + "ㄗ1" + ], + "锲": [ + "ㄑㄧㄝ4" + ], + "锳": [ + "ㄧㄥ1" + ], + "锴": [ + "ㄎㄞ3" + ], + "锵": [ + "ㄑㄧㄤ1" + ], + "锶": [ + "ㄙ1" + ], + "锷": [ + "ㄜ4" + ], + "锸": [ + "ㄔㄚ1" + ], + "锹": [ + "ㄑㄧㄠ1" + ], + "锺": [ + "ㄓㄨㄥ1" + ], + "锻": [ + "ㄉㄨㄢ4" + ], + "锼": [ + "ㄙㄡ1" + ], + "锽": [ + "ㄏㄨㄤ2" + ], + "锾": [ + "ㄏㄨㄢ2" + ], + "锿": [ + "ㄞ1" + ], + "镀": [ + "ㄉㄨ4" + ], + "镁": [ + "ㄇㄟ3" + ], + "镂": [ + "ㄌㄡ4" + ], + "镃": [ + "ㄗ1" + ], + "镄": [ + "ㄈㄟ4" + ], + "镅": [ + "ㄇㄟ2" + ], + "镆": [ + "ㄇㄛ4" + ], + "镇": [ + "ㄓㄣ4" + ], + "镈": [ + "ㄅㄛ2" + ], + "镉": [ + "ㄍㄜ2" + ], + "镊": [ + "ㄋㄧㄝ4" + ], + "镋": [ + "ㄊㄤ3" + ], + "镌": [ + "ㄐㄩㄢ1" + ], + "镍": [ + "ㄋㄧㄝ4" + ], + "镎": [ + "ㄋㄚ2" + ], + "镏": [ + "ㄌㄧㄡ2", + "ㄌㄧㄡ4" + ], + "镐": [ + "ㄍㄠ3", + "ㄏㄠ4" + ], + "镑": [ + "ㄅㄤ4" + ], + "镒": [ + "ㄧ4" + ], + "镓": [ + "ㄐㄧㄚ1" + ], + "镔": [ + "ㄅㄧㄣ1" + ], + "镕": [ + "ㄖㄨㄥ2" + ], + "镖": [ + "ㄅㄧㄠ1" + ], + "镗": [ + "ㄊㄤ1", + "ㄊㄤ2" + ], + "镘": [ + "ㄇㄢ4" + ], + "镙": [ + "ㄌㄨㄛ2" + ], + "镚": [ + "ㄅㄥ4" + ], + "镛": [ + "ㄩㄥ1" + ], + "镜": [ + "ㄐㄧㄥ4" + ], + "镝": [ + "ㄉㄧ1", + "ㄉㄧ2" + ], + "镞": [ + "ㄗㄨ2" + ], + "镟": [ + "ㄒㄩㄢ4" + ], + "镠": [ + "ㄌㄧㄡ2" + ], + "镡": [ + "ㄔㄢ2", + "ㄊㄢ2", + "ㄒㄧㄣ2" + ], + "镢": [ + "ㄐㄩㄝ2" + ], + "镣": [ + "ㄌㄧㄠ4" + ], + "镤": [ + "ㄆㄨ2" + ], + "镥": [ + "ㄌㄨ3" + ], + "镦": [ + "ㄉㄨㄟ4", + "ㄉㄨㄣ1" + ], + "镧": [ + "ㄌㄢ2" + ], + "镨": [ + "ㄆㄨ3" + ], + "镩": [ + "ㄘㄨㄢ1" + ], + "镪": [ + "ㄑㄧㄤ1", + "ㄑㄧㄤ3" + ], + "镫": [ + "ㄉㄥ4" + ], + "镬": [ + "ㄏㄨㄛ4" + ], + "镭": [ + "ㄌㄟ2" + ], + "镮": [ + "ㄏㄨㄢ2" + ], + "镯": [ + "ㄓㄨㄛ2" + ], + "镰": [ + "ㄌㄧㄢ2" + ], + "镱": [ + "ㄧ4" + ], + "镲": [ + "ㄔㄚ3" + ], + "镳": [ + "ㄅㄧㄠ1" + ], + "镴": [ + "ㄌㄚ4" + ], + "镵": [ + "ㄔㄢ2" + ], + "镶": [ + "ㄒㄧㄤ1" + ], + "長": [ + "ㄓㄤ3", + "ㄔㄤ2", + "ㄓㄤ4" + ], + "镸": [ + "ㄔㄤ2" + ], + "镹": [ + "ㄐㄧㄡ3" + ], + "镺": [ + "ㄠ3" + ], + "镻": [ + "ㄉㄧㄝ2" + ], + "镼": [ + "ㄑㄩ1" + ], + "镽": [ + "ㄌㄧㄠ3", + "ㄌㄧㄠ2" + ], + "镾": [ + "ㄇㄧ2" + ], + "长": [ + "ㄓㄤ3", + "ㄔㄤ2" + ], + "門": [ + "ㄇㄣ2" + ], + "閁": [ + "ㄇㄚ4" + ], + "閂": [ + "ㄕㄨㄢ1" + ], + "閃": [ + "ㄕㄢ3" + ], + "閄": [ + "ㄏㄨㄛ4", + "ㄕㄢ3" + ], + "閅": [ + "ㄇㄣ2" + ], + "閆": [ + "ㄧㄢ2" + ], + "閇": [ + "ㄅㄧ4" + ], + "閈": [ + "ㄏㄢ4", + "ㄅㄧ4" + ], + "閉": [ + "ㄅㄧ4" + ], + "閊": [ + "ㄕㄢ1" + ], + "開": [ + "ㄎㄞ1", + "ㄑㄧㄢ1" + ], + "閌": [ + "ㄎㄤ4" + ], + "閍": [ + "ㄅㄥ1" + ], + "閎": [ + "ㄏㄨㄥ2" + ], + "閏": [ + "ㄖㄨㄣ4" + ], + "閐": [ + "ㄙㄢ4" + ], + "閑": [ + "ㄒㄧㄢ2" + ], + "閒": [ + "ㄒㄧㄢ2", + "ㄐㄧㄢ4", + "ㄐㄧㄢ1", + "ㄐㄧㄢ3" + ], + "間": [ + "ㄐㄧㄢ1", + "ㄐㄧㄢ4", + "ㄐㄧㄢ3" + ], + "閔": [ + "ㄇㄧㄣ3", + "ㄇㄧㄣ2" + ], + "閕": [ + "ㄒㄧㄚ1", + "ㄒㄧㄚ3" + ], + "閖": [ + "ㄕㄨㄟ5" + ], + "閗": [ + "ㄉㄡ4" + ], + "閘": [ + "ㄓㄚ2", + "ㄧㄚ1", + "ㄍㄜ1" + ], + "閙": [ + "ㄋㄠ4" + ], + "閚": [ + "ㄓㄢ1" + ], + "閛": [ + "ㄆㄥ1", + "ㄆㄥ4" + ], + "閜": [ + "ㄒㄧㄚ3", + "ㄜ3" + ], + "閝": [ + "ㄌㄧㄥ2" + ], + "閞": [ + "ㄅㄧㄢ4", + "ㄍㄨㄢ1" + ], + "閟": [ + "ㄅㄧ4" + ], + "閠": [ + "ㄖㄨㄣ4" + ], + "閡": [ + "ㄞ4", + "ㄏㄜ2", + "ㄏㄞ4", + "ㄍㄞ1", + "ㄎㄞ3" + ], + "関": [ + "ㄍㄨㄢ1" + ], + "閣": [ + "ㄍㄜ2" + ], + "閤": [ + "ㄍㄜ2", + "ㄍㄜ1", + "ㄏㄜ2" + ], + "閥": [ + "ㄈㄚ2" + ], + "閦": [ + "ㄔㄨ4" + ], + "閧": [ + "ㄏㄨㄥ4", + "ㄒㄧㄤ4" + ], + "閨": [ + "ㄍㄨㄟ1" + ], + "閩": [ + "ㄇㄧㄣ3" + ], + "閪": [ + "ㄙㄜ1" + ], + "閫": [ + "ㄎㄨㄣ3" + ], + "閬": [ + "ㄌㄤ4", + "ㄌㄤ3", + "ㄌㄧㄤ3" + ], + "閭": [ + "ㄌㄩ2" + ], + "閮": [ + "ㄊㄧㄥ2", + "ㄊㄧㄥ3" + ], + "閯": [ + "ㄕㄚ4" + ], + "閰": [ + "ㄐㄩ2" + ], + "閱": [ + "ㄩㄝ4" + ], + "閲": [ + "ㄩㄝ4" + ], + "閳": [ + "ㄔㄢ3" + ], + "閴": [ + "ㄑㄩ4" + ], + "閵": [ + "ㄌㄧㄣ4" + ], + "閶": [ + "ㄔㄤ1", + "ㄊㄤ1" + ], + "閷": [ + "ㄕㄞ4", + "ㄕㄚ1" + ], + "閸": [ + "ㄎㄨㄣ3" + ], + "閹": [ + "ㄧㄢ1" + ], + "閺": [ + "ㄨㄣ2" + ], + "閻": [ + "ㄧㄢ2", + "ㄧㄢ3", + "ㄧㄢ4" + ], + "閼": [ + "ㄜ4", + "ㄩ4", + "ㄧㄢ1" + ], + "閽": [ + "ㄏㄨㄣ1" + ], + "閾": [ + "ㄩ4" + ], + "閿": [ + "ㄨㄣ2" + ], + "闀": [ + "ㄏㄨㄥ4" + ], + "闁": [ + "ㄅㄠ1" + ], + "闂": [ + "ㄏㄨㄥ4", + "ㄒㄧㄤ4", + "ㄐㄩㄢ3" + ], + "闃": [ + "ㄑㄩ4" + ], + "闄": [ + "ㄧㄠ3" + ], + "闅": [ + "ㄨㄣ2" + ], + "闆": [ + "ㄅㄢ3", + "ㄆㄢ3" + ], + "闇": [ + "ㄢ4", + "ㄢ3", + "ㄢ1", + "ㄧㄣ1", + "ㄧㄣ3" + ], + "闈": [ + "ㄨㄟ2" + ], + "闉": [ + "ㄧㄣ1" + ], + "闊": [ + "ㄎㄨㄛ4" + ], + "闋": [ + "ㄑㄩㄝ4", + "ㄐㄩㄝ2", + "ㄎㄨㄟ2" + ], + "闌": [ + "ㄌㄢ2", + "ㄌㄢ4" + ], + "闍": [ + "ㄉㄨ1", + "ㄕㄜ2" + ], + "闎": [ + "ㄑㄩㄢ2" + ], + "闏": [ + "ㄈㄥ1" + ], + "闐": [ + "ㄊㄧㄢ2" + ], + "闑": [ + "ㄋㄧㄝ4" + ], + "闒": [ + "ㄊㄚ4" + ], + "闓": [ + "ㄎㄞ3" + ], + "闔": [ + "ㄏㄜ2" + ], + "闕": [ + "ㄑㄩㄝ4", + "ㄑㄩㄝ1", + "ㄐㄩㄝ2" + ], + "闖": [ + "ㄔㄨㄤ3", + "ㄔㄣ4" + ], + "闗": [ + "ㄍㄨㄢ1" + ], + "闘": [ + "ㄉㄡ4" + ], + "闙": [ + "ㄑㄧ3" + ], + "闚": [ + "ㄎㄨㄟ1" + ], + "闛": [ + "ㄊㄤ2", + "ㄊㄤ1", + "ㄔㄤ1" + ], + "關": [ + "ㄍㄨㄢ1", + "ㄨㄢ1", + "ㄨㄢ3" + ], + "闝": [ + "ㄆㄧㄠ2" + ], + "闞": [ + "ㄎㄢ4", + "ㄏㄢ3", + "ㄒㄧㄢ4" + ], + "闟": [ + "ㄒㄧ4", + "ㄙㄜ4", + "ㄊㄚ4" + ], + "闠": [ + "ㄏㄨㄟ4" + ], + "闡": [ + "ㄔㄢ3" + ], + "闢": [ + "ㄆㄧ4", + "ㄆㄧ1" + ], + "闣": [ + "ㄉㄤ4", + "ㄊㄤ1" + ], + "闤": [ + "ㄏㄨㄢ2" + ], + "闥": [ + "ㄊㄚ4" + ], + "闦": [ + "ㄨㄣ2" + ], + "闧": [ + "ㄊㄚ1" + ], + "门": [ + "ㄇㄣ2" + ], + "闩": [ + "ㄕㄨㄢ1" + ], + "闪": [ + "ㄕㄢ3" + ], + "闫": [ + "ㄧㄢ2" + ], + "闬": [ + "ㄏㄢ4" + ], + "闭": [ + "ㄅㄧ4" + ], + "问": [ + "ㄨㄣ4" + ], + "闯": [ + "ㄔㄨㄤ3" + ], + "闰": [ + "ㄖㄨㄣ4" + ], + "闱": [ + "ㄨㄟ2" + ], + "闲": [ + "ㄒㄧㄢ2" + ], + "闳": [ + "ㄏㄨㄥ2" + ], + "间": [ + "ㄐㄧㄢ1", + "ㄐㄧㄢ4" + ], + "闵": [ + "ㄇㄧㄣ3" + ], + "闶": [ + "ㄎㄤ1", + "ㄎㄤ4" + ], + "闷": [ + "ㄇㄣ4", + "ㄇㄣ1" + ], + "闸": [ + "ㄓㄚ2" + ], + "闹": [ + "ㄋㄠ4" + ], + "闺": [ + "ㄍㄨㄟ1" + ], + "闻": [ + "ㄨㄣ2" + ], + "闼": [ + "ㄊㄚ4" + ], + "闽": [ + "ㄇㄧㄣ3" + ], + "闾": [ + "ㄌㄩ2" + ], + "闿": [ + "ㄎㄞ3" + ], + "阀": [ + "ㄈㄚ2" + ], + "阁": [ + "ㄍㄜ2" + ], + "阂": [ + "ㄏㄜ2" + ], + "阃": [ + "ㄎㄨㄣ3" + ], + "阄": [ + "ㄐㄧㄡ1" + ], + "阅": [ + "ㄩㄝ4" + ], + "阆": [ + "ㄌㄤ2", + "ㄌㄤ4" + ], + "阇": [ + "ㄉㄨ1", + "ㄕㄜ2" + ], + "阈": [ + "ㄩ4" + ], + "阉": [ + "ㄧㄢ1" + ], + "阊": [ + "ㄔㄤ1" + ], + "阋": [ + "ㄒㄧ4" + ], + "阌": [ + "ㄨㄣ2" + ], + "阍": [ + "ㄏㄨㄣ1" + ], + "阎": [ + "ㄧㄢ2" + ], + "阏": [ + "ㄜ4", + "ㄧㄢ1" + ], + "阐": [ + "ㄔㄢ3" + ], + "阑": [ + "ㄌㄢ2" + ], + "阒": [ + "ㄑㄩ4" + ], + "阓": [ + "ㄏㄨㄟ4" + ], + "阔": [ + "ㄎㄨㄛ4" + ], + "阕": [ + "ㄑㄩㄝ4" + ], + "阖": [ + "ㄏㄜ2" + ], + "阗": [ + "ㄊㄧㄢ2" + ], + "阘": [ + "ㄉㄚ2", + "ㄊㄚ4" + ], + "阙": [ + "ㄑㄩㄝ1", + "ㄑㄩㄝ4" + ], + "阚": [ + "ㄏㄢ3", + "ㄎㄢ4" + ], + "阛": [ + "ㄏㄨㄢ2" + ], + "阜": [ + "ㄈㄨ4" + ], + "阝": [ + "ㄈㄨ4" + ], + "阞": [ + "ㄌㄜ4" + ], + "队": [ + "ㄉㄨㄟ4" + ], + "阠": [ + "ㄒㄧㄣ4" + ], + "阡": [ + "ㄑㄧㄢ1" + ], + "阢": [ + "ㄨ4", + "ㄨㄟ2" + ], + "阣": [ + "ㄍㄞ4", + "ㄧ4" + ], + "阤": [ + "ㄓ4", + "ㄧ2", + "ㄊㄨㄛ2" + ], + "阥": [ + "ㄧㄣ1" + ], + "阦": [ + "ㄧㄤ2" + ], + "阧": [ + "ㄉㄡ3" + ], + "阨": [ + "ㄜ4", + "ㄞ4" + ], + "阩": [ + "ㄕㄥ1" + ], + "阪": [ + "ㄅㄢ3" + ], + "阫": [ + "ㄆㄟ2" + ], + "阬": [ + "ㄎㄥ1", + "ㄎㄤ4", + "ㄍㄤ1" + ], + "阭": [ + "ㄩㄣ3", + "ㄧㄢ3" + ], + "阮": [ + "ㄖㄨㄢ3", + "ㄩㄢ2" + ], + "阯": [ + "ㄓ3" + ], + "阰": [ + "ㄆㄧ2" + ], + "阱": [ + "ㄐㄧㄥ3" + ], + "防": [ + "ㄈㄤ2" + ], + "阳": [ + "ㄧㄤ2" + ], + "阴": [ + "ㄧㄣ1" + ], + "阵": [ + "ㄓㄣ4" + ], + "阶": [ + "ㄐㄧㄝ1" + ], + "阷": [ + "ㄔㄥ1" + ], + "阸": [ + "ㄜ4", + "ㄞ4" + ], + "阹": [ + "ㄑㄩ1" + ], + "阺": [ + "ㄉㄧ3" + ], + "阻": [ + "ㄗㄨ3", + "ㄓㄨ4" + ], + "阼": [ + "ㄗㄨㄛ4" + ], + "阽": [ + "ㄉㄧㄢ4", + "ㄧㄢ2" + ], + "阾": [ + "ㄌㄧㄥ3", + "ㄌㄧㄥ2" + ], + "阿": [ + "ㄚ1", + "ㄜ1", + "ㄜ3", + "ㄚ3", + "ㄚ4", + "ㄚ5" + ], + "陀": [ + "ㄊㄨㄛ2", + "ㄉㄨㄛ4" + ], + "陁": [ + "ㄊㄨㄛ2", + "ㄓ4", + "ㄧ3" + ], + "陂": [ + "ㄅㄟ1", + "ㄆㄧ2", + "ㄅㄧ4", + "ㄆㄛ1" + ], + "陃": [ + "ㄅㄧㄥ3" + ], + "附": [ + "ㄈㄨ4", + "ㄅㄨ4", + "ㄈㄨ1" + ], + "际": [ + "ㄐㄧ4" + ], + "陆": [ + "ㄌㄨ4", + "ㄌㄧㄡ4" + ], + "陇": [ + "ㄌㄨㄥ3" + ], + "陈": [ + "ㄔㄣ2" + ], + "陉": [ + "ㄒㄧㄥ2" + ], + "陊": [ + "ㄉㄨㄛ4" + ], + "陋": [ + "ㄌㄡ4" + ], + "陌": [ + "ㄇㄛ4" + ], + "降": [ + "ㄐㄧㄤ4", + "ㄒㄧㄤ2", + "ㄒㄧㄤ4" + ], + "陎": [ + "ㄕㄨ1" + ], + "陏": [ + "ㄉㄨㄛ4", + "ㄙㄨㄟ2" + ], + "限": [ + "ㄒㄧㄢ4", + "ㄨㄣ3" + ], + "陑": [ + "ㄦ2" + ], + "陒": [ + "ㄍㄨㄟ3" + ], + "陓": [ + "ㄩ1" + ], + "陔": [ + "ㄍㄞ1" + ], + "陕": [ + "ㄕㄢ3" + ], + "陖": [ + "ㄐㄩㄣ4" + ], + "陗": [ + "ㄑㄧㄠ4" + ], + "陘": [ + "ㄒㄧㄥ2", + "ㄐㄧㄥ4" + ], + "陙": [ + "ㄔㄨㄣ2" + ], + "陚": [ + "ㄈㄨ4", + "ㄨ3" + ], + "陛": [ + "ㄅㄧ4" + ], + "陜": [ + "ㄒㄧㄚ2" + ], + "陝": [ + "ㄕㄢ3" + ], + "陞": [ + "ㄕㄥ1" + ], + "陟": [ + "ㄓ4", + "ㄉㄜ2" + ], + "陠": [ + "ㄆㄨ1", + "ㄅㄨ1", + "ㄅㄨ4" + ], + "陡": [ + "ㄉㄡ3" + ], + "院": [ + "ㄩㄢ4" + ], + "陣": [ + "ㄓㄣ4" + ], + "除": [ + "ㄔㄨ2", + "ㄓㄨ4", + "ㄕㄨ1" + ], + "陥": [ + "ㄒㄧㄢ4" + ], + "陦": [ + "ㄉㄠ3" + ], + "陧": [ + "ㄋㄧㄝ4" + ], + "陨": [ + "ㄩㄣ3" + ], + "险": [ + "ㄒㄧㄢ3" + ], + "陪": [ + "ㄆㄟ2" + ], + "陫": [ + "ㄈㄟ4", + "ㄆㄟ2" + ], + "陬": [ + "ㄗㄡ1", + "ㄓㄜ2" + ], + "陭": [ + "ㄧ4", + "ㄧ3" + ], + "陮": [ + "ㄉㄨㄟ4" + ], + "陯": [ + "ㄌㄨㄣ2", + "ㄌㄨㄣ4" + ], + "陰": [ + "ㄧㄣ1", + "ㄧㄣ4", + "ㄢ1" + ], + "陱": [ + "ㄐㄩ1" + ], + "陲": [ + "ㄔㄨㄟ2" + ], + "陳": [ + "ㄔㄣ2", + "ㄓㄣ4" + ], + "陴": [ + "ㄆㄧ2", + "ㄅㄧ4" + ], + "陵": [ + "ㄌㄧㄥ2" + ], + "陶": [ + "ㄊㄠ2", + "ㄧㄠ2", + "ㄉㄠ4" + ], + "陷": [ + "ㄒㄧㄢ4" + ], + "陸": [ + "ㄌㄨ4", + "ㄌㄧㄡ4" + ], + "陹": [ + "ㄕㄥ1" + ], + "険": [ + "ㄒㄧㄢ3" + ], + "陻": [ + "ㄧㄣ1" + ], + "陼": [ + "ㄓㄨ3", + "ㄉㄨ3" + ], + "陽": [ + "ㄧㄤ2" + ], + "陾": [ + "ㄖㄥ2", + "ㄦ2" + ], + "陿": [ + "ㄒㄧㄚ2" + ], + "隀": [ + "ㄔㄨㄥ2" + ], + "隁": [ + "ㄧㄢ4", + "ㄧㄢ3" + ], + "隂": [ + "ㄧㄣ1" + ], + "隃": [ + "ㄕㄨ4", + "ㄩ2", + "ㄧㄠ2" + ], + "隄": [ + "ㄉㄧ1", + "ㄊㄧ2" + ], + "隅": [ + "ㄩ2" + ], + "隆": [ + "ㄌㄨㄥ2", + "ㄌㄨㄥ1" + ], + "隇": [ + "ㄨㄟ1" + ], + "隈": [ + "ㄨㄟ1" + ], + "隉": [ + "ㄋㄧㄝ4" + ], + "隊": [ + "ㄉㄨㄟ4", + "ㄓㄨㄟ4", + "ㄙㄨㄟ4" + ], + "隋": [ + "ㄙㄨㄟ2", + "ㄉㄨㄛ4", + "ㄊㄨㄛ3", + "ㄊㄨㄛ1" + ], + "隌": [ + "ㄢ3" + ], + "隍": [ + "ㄏㄨㄤ2" + ], + "階": [ + "ㄐㄧㄝ1" + ], + "随": [ + "ㄙㄨㄟ2" + ], + "隐": [ + "ㄧㄣ3" + ], + "隑": [ + "ㄍㄞ4", + "ㄍㄞ1", + "ㄞ2", + "ㄑㄧ2" + ], + "隒": [ + "ㄧㄢ3" + ], + "隓": [ + "ㄏㄨㄟ1", + "ㄉㄨㄛ4" + ], + "隔": [ + "ㄍㄜ2", + "ㄖㄨㄥ3", + "ㄐㄧ1" + ], + "隕": [ + "ㄩㄣ3", + "ㄩㄢ2" + ], + "隖": [ + "ㄨ4" + ], + "隗": [ + "ㄎㄨㄟ2", + "ㄨㄟ3", + "ㄍㄨㄟ1" + ], + "隘": [ + "ㄞ4", + "ㄜ4" + ], + "隙": [ + "ㄒㄧ4" + ], + "隚": [ + "ㄊㄤ2" + ], + "際": [ + "ㄐㄧ4" + ], + "障": [ + "ㄓㄤ4", + "ㄓㄤ1" + ], + "隝": [ + "ㄉㄠ3" + ], + "隞": [ + "ㄠ2" + ], + "隟": [ + "ㄒㄧ4" + ], + "隠": [ + "ㄧㄣ3" + ], + "隡": [ + "ㄙㄚ4" + ], + "隢": [ + "ㄖㄠ3" + ], + "隣": [ + "ㄌㄧㄣ2" + ], + "隤": [ + "ㄊㄨㄟ2" + ], + "隥": [ + "ㄉㄥ4" + ], + "隦": [ + "ㄐㄧㄠ3", + "ㄆㄧ2" + ], + "隧": [ + "ㄙㄨㄟ4", + "ㄓㄨㄟ4" + ], + "隨": [ + "ㄙㄨㄟ2" + ], + "隩": [ + "ㄠ4", + "ㄩ4" + ], + "險": [ + "ㄒㄧㄢ3", + "ㄐㄧㄢ3", + "ㄧㄢ2" + ], + "隫": [ + "ㄈㄣ2" + ], + "隬": [ + "ㄋㄧ3" + ], + "隭": [ + "ㄦ2" + ], + "隮": [ + "ㄐㄧ1" + ], + "隯": [ + "ㄉㄠ3" + ], + "隰": [ + "ㄒㄧ2", + "ㄒㄧㄝ4" + ], + "隱": [ + "ㄧㄣ3", + "ㄧㄣ4" + ], + "隲": [ + "ㄓ4" + ], + "隳": [ + "ㄏㄨㄟ1" + ], + "隴": [ + "ㄌㄨㄥ3" + ], + "隵": [ + "ㄒㄧ1" + ], + "隶": [ + "ㄌㄧ4", + "ㄉㄞ4", + "ㄧ4", + "ㄉㄧ4" + ], + "隷": [ + "ㄌㄧ4" + ], + "隸": [ + "ㄌㄧ4" + ], + "隹": [ + "ㄓㄨㄟ1", + "ㄘㄨㄟ1", + "ㄨㄟ2" + ], + "隺": [ + "ㄏㄨ2", + "ㄏㄜ4", + "ㄑㄩㄝ4" + ], + "隻": [ + "ㄓ1", + "ㄏㄨㄛ4" + ], + "隼": [ + "ㄙㄨㄣ3" + ], + "隽": [ + "ㄐㄩㄢ4", + "ㄐㄩㄣ4" + ], + "难": [ + "ㄋㄢ2", + "ㄋㄢ4" + ], + "隿": [ + "ㄧ4" + ], + "雀": [ + "ㄑㄩㄝ4", + "ㄑㄧㄠ1", + "ㄑㄧㄠ3" + ], + "雁": [ + "ㄧㄢ4" + ], + "雂": [ + "ㄑㄧㄣ2" + ], + "雃": [ + "ㄑㄧㄢ1", + "ㄐㄧㄝ4" + ], + "雄": [ + "ㄒㄩㄥ2" + ], + "雅": [ + "ㄧㄚ3", + "ㄧㄚ1", + "ㄧㄚ2" + ], + "集": [ + "ㄐㄧ2" + ], + "雇": [ + "ㄍㄨ4", + "ㄏㄨ4" + ], + "雈": [ + "ㄏㄨㄢ2" + ], + "雉": [ + "ㄓ4", + "ㄎㄞ3", + "ㄧ3", + "ㄙ4" + ], + "雊": [ + "ㄍㄡ4" + ], + "雋": [ + "ㄐㄩㄢ4", + "ㄐㄩㄣ4", + "ㄗㄨㄟ4" + ], + "雌": [ + "ㄘ2" + ], + "雍": [ + "ㄩㄥ1" + ], + "雎": [ + "ㄐㄩ1" + ], + "雏": [ + "ㄔㄨ2" + ], + "雐": [ + "ㄏㄨ1" + ], + "雑": [ + "ㄗㄚ2" + ], + "雒": [ + "ㄌㄨㄛ4" + ], + "雓": [ + "ㄩ2" + ], + "雔": [ + "ㄔㄡ2" + ], + "雕": [ + "ㄉㄧㄠ1" + ], + "雖": [ + "ㄙㄨㄟ1" + ], + "雗": [ + "ㄏㄢ4" + ], + "雘": [ + "ㄨㄛ4" + ], + "雙": [ + "ㄕㄨㄤ1" + ], + "雚": [ + "ㄍㄨㄢ4", + "ㄏㄨㄢ2" + ], + "雛": [ + "ㄔㄨ2", + "ㄐㄩ2", + "ㄐㄩ4" + ], + "雜": [ + "ㄗㄚ2" + ], + "雝": [ + "ㄩㄥ1" + ], + "雞": [ + "ㄐㄧ1" + ], + "雟": [ + "ㄒㄧ1" + ], + "雠": [ + "ㄔㄡ2" + ], + "雡": [ + "ㄌㄧㄡ4" + ], + "離": [ + "ㄌㄧ2", + "ㄌㄧ4", + "ㄌㄧ3", + "ㄔ1", + "ㄍㄨ3" + ], + "難": [ + "ㄋㄢ2", + "ㄋㄢ4", + "ㄋㄨㄛ2" + ], + "雤": [ + "ㄒㄩㄝ2" + ], + "雥": [ + "ㄗㄚ2" + ], + "雦": [ + "ㄐㄧ2" + ], + "雧": [ + "ㄐㄧ2" + ], + "雨": [ + "ㄩ3", + "ㄩ4" + ], + "雩": [ + "ㄩ2", + "ㄩ4", + "ㄒㄩ1" + ], + "雪": [ + "ㄒㄩㄝ3" + ], + "雫": [ + "ㄋㄚ3" + ], + "雬": [ + "ㄈㄡ3" + ], + "雭": [ + "ㄙㄜ4", + "ㄒㄧ2" + ], + "雮": [ + "ㄇㄨ4" + ], + "雯": [ + "ㄨㄣ2" + ], + "雰": [ + "ㄈㄣ1" + ], + "雱": [ + "ㄆㄤ1", + "ㄆㄤ2", + "ㄈㄤ1" + ], + "雲": [ + "ㄩㄣ2" + ], + "雳": [ + "ㄌㄧ4" + ], + "雴": [ + "ㄔ4" + ], + "雵": [ + "ㄧㄤ1" + ], + "零": [ + "ㄌㄧㄥ2", + "ㄌㄧㄢ2" + ], + "雷": [ + "ㄌㄟ2", + "ㄌㄟ4" + ], + "雸": [ + "ㄢ2" + ], + "雹": [ + "ㄅㄠ2" + ], + "雺": [ + "ㄨ4", + "ㄇㄥ2" + ], + "電": [ + "ㄉㄧㄢ4" + ], + "雼": [ + "ㄉㄤ4" + ], + "雽": [ + "ㄏㄨ4", + "ㄏㄨ1" + ], + "雾": [ + "ㄨ4" + ], + "雿": [ + "ㄉㄧㄠ4" + ], + "需": [ + "ㄒㄩ1", + "ㄋㄨㄛ4", + "ㄖㄨ2", + "ㄖㄨㄢ3" + ], + "霁": [ + "ㄐㄧ4" + ], + "霂": [ + "ㄇㄨ4" + ], + "霃": [ + "ㄔㄣ2" + ], + "霄": [ + "ㄒㄧㄠ1", + "ㄒㄧㄠ4" + ], + "霅": [ + "ㄓㄚ4", + "ㄓㄚ2", + "ㄕㄚ4", + "ㄙㄚ4", + "ㄧ4" + ], + "霆": [ + "ㄊㄧㄥ2" + ], + "震": [ + "ㄓㄣ4", + "ㄕㄣ1" + ], + "霈": [ + "ㄆㄟ4" + ], + "霉": [ + "ㄇㄟ2" + ], + "霊": [ + "ㄌㄧㄥ2" + ], + "霋": [ + "ㄑㄧ1" + ], + "霌": [ + "ㄓㄡ1" + ], + "霍": [ + "ㄏㄨㄛ4", + "ㄏㄜ4", + "ㄙㄨㄛ3" + ], + "霎": [ + "ㄕㄚ4" + ], + "霏": [ + "ㄈㄟ1" + ], + "霐": [ + "ㄏㄨㄥ2" + ], + "霑": [ + "ㄓㄢ1" + ], + "霒": [ + "ㄧㄣ1" + ], + "霓": [ + "ㄋㄧ2" + ], + "霔": [ + "ㄓㄨ4" + ], + "霕": [ + "ㄊㄨㄣ2" + ], + "霖": [ + "ㄌㄧㄣ2" + ], + "霗": [ + "ㄌㄧㄥ2" + ], + "霘": [ + "ㄉㄨㄥ4" + ], + "霙": [ + "ㄧㄥ1", + "ㄧㄤ1" + ], + "霚": [ + "ㄨ4" + ], + "霛": [ + "ㄌㄧㄥ2" + ], + "霜": [ + "ㄕㄨㄤ1" + ], + "霝": [ + "ㄌㄧㄥ2" + ], + "霞": [ + "ㄒㄧㄚ2" + ], + "霟": [ + "ㄏㄨㄥ2" + ], + "霠": [ + "ㄧㄣ1" + ], + "霡": [ + "ㄇㄞ4" + ], + "霢": [ + "ㄇㄞ4" + ], + "霣": [ + "ㄩㄣ3" + ], + "霤": [ + "ㄌㄧㄡ4" + ], + "霥": [ + "ㄇㄥ4" + ], + "霦": [ + "ㄅㄧㄣ1" + ], + "霧": [ + "ㄨ4", + "ㄇㄥ2" + ], + "霨": [ + "ㄨㄟ4" + ], + "霩": [ + "ㄎㄨㄛ4" + ], + "霪": [ + "ㄧㄣ2" + ], + "霫": [ + "ㄒㄧ2" + ], + "霬": [ + "ㄧ4" + ], + "霭": [ + "ㄞ3" + ], + "霮": [ + "ㄉㄢ4" + ], + "霯": [ + "ㄊㄥ4" + ], + "霰": [ + "ㄒㄧㄢ4", + "ㄙㄢ3" + ], + "霱": [ + "ㄩ4" + ], + "露": [ + "ㄌㄨ4", + "ㄌㄡ4" + ], + "霳": [ + "ㄌㄨㄥ2" + ], + "霴": [ + "ㄉㄞ4" + ], + "霵": [ + "ㄐㄧ2" + ], + "霶": [ + "ㄆㄤ1" + ], + "霷": [ + "ㄧㄤ2" + ], + "霸": [ + "ㄅㄚ4", + "ㄆㄛ4" + ], + "霹": [ + "ㄆㄧ1" + ], + "霺": [ + "ㄨㄟ2" + ], + "霻": [ + "ㄈㄥ1" + ], + "霼": [ + "ㄒㄧ4" + ], + "霽": [ + "ㄐㄧ4" + ], + "霾": [ + "ㄇㄞ2", + "ㄌㄧ2" + ], + "霿": [ + "ㄇㄥ2", + "ㄇㄠ4", + "ㄨ4" + ], + "靀": [ + "ㄇㄥ2" + ], + "靁": [ + "ㄌㄟ2" + ], + "靂": [ + "ㄌㄧ4" + ], + "靃": [ + "ㄏㄨㄛ4", + "ㄙㄨㄟ3", + "ㄙㄨㄛ3" + ], + "靄": [ + "ㄞ3" + ], + "靅": [ + "ㄈㄟ4" + ], + "靆": [ + "ㄉㄞ4" + ], + "靇": [ + "ㄌㄨㄥ2", + "ㄌㄧㄥ2" + ], + "靈": [ + "ㄌㄧㄥ2" + ], + "靉": [ + "ㄞ4", + "ㄧ3" + ], + "靊": [ + "ㄈㄥ1" + ], + "靋": [ + "ㄌㄧ4" + ], + "靌": [ + "ㄅㄠ3" + ], + "靍": [ + "ㄏㄜ4" + ], + "靎": [ + "ㄏㄜ4" + ], + "靏": [ + "ㄏㄜ4" + ], + "靐": [ + "ㄅㄧㄥ4" + ], + "靑": [ + "ㄑㄧㄥ1" + ], + "青": [ + "ㄑㄧㄥ1", + "ㄐㄧㄥ1" + ], + "靓": [ + "ㄐㄧㄥ4", + "ㄌㄧㄤ4" + ], + "靔": [ + "ㄊㄧㄢ1" + ], + "靕": [ + "ㄓㄣ1" + ], + "靖": [ + "ㄐㄧㄥ4" + ], + "靗": [ + "ㄔㄥ1" + ], + "靘": [ + "ㄑㄧㄥ4", + "ㄑㄧㄥ1", + "ㄐㄧㄥ4" + ], + "静": [ + "ㄐㄧㄥ4" + ], + "靚": [ + "ㄐㄧㄥ4", + "ㄌㄧㄤ2" + ], + "靛": [ + "ㄉㄧㄢ4" + ], + "靜": [ + "ㄐㄧㄥ4" + ], + "靝": [ + "ㄊㄧㄢ1" + ], + "非": [ + "ㄈㄟ1", + "ㄈㄟ3" + ], + "靟": [ + "ㄈㄟ1" + ], + "靠": [ + "ㄎㄠ4" + ], + "靡": [ + "ㄇㄧ2", + "ㄇㄧ3", + "ㄇㄚ2" + ], + "面": [ + "ㄇㄧㄢ4" + ], + "靣": [ + "ㄇㄧㄢ4" + ], + "靤": [ + "ㄅㄠ4" + ], + "靥": [ + "ㄧㄝ4" + ], + "靦": [ + "ㄊㄧㄢ3", + "ㄇㄧㄢ3" + ], + "靧": [ + "ㄏㄨㄟ4" + ], + "靨": [ + "ㄧㄝ4", + "ㄧㄢ3" + ], + "革": [ + "ㄍㄜ2", + "ㄐㄧ2" + ], + "靪": [ + "ㄉㄧㄥ1" + ], + "靫": [ + "ㄔㄚ2" + ], + "靬": [ + "ㄑㄧㄢ2", + "ㄐㄧㄢ1", + "ㄎㄢ1", + "ㄏㄢ4" + ], + "靭": [ + "ㄖㄣ4" + ], + "靮": [ + "ㄉㄧ2" + ], + "靯": [ + "ㄉㄨ4" + ], + "靰": [ + "ㄨ4" + ], + "靱": [ + "ㄖㄣ4" + ], + "靲": [ + "ㄑㄧㄣ2" + ], + "靳": [ + "ㄐㄧㄣ4" + ], + "靴": [ + "ㄒㄩㄝ1" + ], + "靵": [ + "ㄋㄧㄡ3" + ], + "靶": [ + "ㄅㄚ3", + "ㄅㄚ4" + ], + "靷": [ + "ㄧㄣ3" + ], + "靸": [ + "ㄙㄚ3", + "ㄊㄚ1" + ], + "靹": [ + "ㄋㄚ4" + ], + "靺": [ + "ㄇㄛ4", + "ㄨㄚ4" + ], + "靻": [ + "ㄗㄨ3" + ], + "靼": [ + "ㄉㄚ2" + ], + "靽": [ + "ㄅㄢ4" + ], + "靾": [ + "ㄧ4" + ], + "靿": [ + "ㄧㄠ4" + ], + "鞀": [ + "ㄊㄠ2" + ], + "鞁": [ + "ㄅㄟ4", + "ㄅㄞ4", + "ㄅㄧ4" + ], + "鞂": [ + "ㄐㄧㄝ1" + ], + "鞃": [ + "ㄏㄨㄥ2" + ], + "鞄": [ + "ㄆㄠ2" + ], + "鞅": [ + "ㄧㄤ1", + "ㄧㄤ4", + "ㄧㄤ3" + ], + "鞆": [ + "ㄅㄧㄥ3" + ], + "鞇": [ + "ㄧㄣ1" + ], + "鞈": [ + "ㄍㄜ2", + "ㄙㄚ3", + "ㄊㄚ4" + ], + "鞉": [ + "ㄊㄠ2" + ], + "鞊": [ + "ㄐㄧㄝ2", + "ㄐㄧ2" + ], + "鞋": [ + "ㄒㄧㄝ2", + "ㄨㄚ1" + ], + "鞌": [ + "ㄢ1" + ], + "鞍": [ + "ㄢ1" + ], + "鞎": [ + "ㄏㄣ2" + ], + "鞏": [ + "ㄍㄨㄥ3" + ], + "鞐": [ + "ㄑㄧㄚ3" + ], + "鞑": [ + "ㄉㄚ2" + ], + "鞒": [ + "ㄑㄧㄠ2" + ], + "鞓": [ + "ㄊㄧㄥ1" + ], + "鞔": [ + "ㄇㄢ2", + "ㄇㄣ4" + ], + "鞕": [ + "ㄧㄥ4", + "ㄅㄧㄢ1" + ], + "鞖": [ + "ㄙㄨㄟ1" + ], + "鞗": [ + "ㄊㄧㄠ2" + ], + "鞘": [ + "ㄑㄧㄠ4", + "ㄕㄠ1" + ], + "鞙": [ + "ㄒㄩㄢ4", + "ㄐㄩㄢ1" + ], + "鞚": [ + "ㄎㄨㄥ4" + ], + "鞛": [ + "ㄅㄥ3" + ], + "鞜": [ + "ㄊㄚ4" + ], + "鞝": [ + "ㄕㄤ4", + "ㄓㄤ3" + ], + "鞞": [ + "ㄅㄧㄥ3", + "ㄅㄧ4", + "ㄆㄧ2", + "ㄅㄟ1" + ], + "鞟": [ + "ㄎㄨㄛ4" + ], + "鞠": [ + "ㄐㄩ1", + "ㄑㄩ1", + "ㄑㄩㄥ1" + ], + "鞡": [ + "ㄌㄚ5" + ], + "鞢": [ + "ㄒㄧㄝ4", + "ㄓㄚ2", + "ㄉㄧㄝ2" + ], + "鞣": [ + "ㄖㄡ2" + ], + "鞤": [ + "ㄅㄤ1" + ], + "鞥": [ + "ㄥ1" + ], + "鞦": [ + "ㄑㄧㄡ1" + ], + "鞧": [ + "ㄑㄧㄡ1" + ], + "鞨": [ + "ㄏㄜ2", + "ㄕㄜ2", + "ㄇㄛ4" + ], + "鞩": [ + "ㄑㄧㄠ4" + ], + "鞪": [ + "ㄇㄨ4", + "ㄇㄡ2" + ], + "鞫": [ + "ㄐㄩ1", + "ㄑㄩ1" + ], + "鞬": [ + "ㄐㄧㄢ1", + "ㄐㄧㄢ4" + ], + "鞭": [ + "ㄅㄧㄢ1" + ], + "鞮": [ + "ㄉㄧ1" + ], + "鞯": [ + "ㄐㄧㄢ1" + ], + "鞰": [ + "ㄨㄣ1" + ], + "鞱": [ + "ㄊㄠ1" + ], + "鞲": [ + "ㄍㄡ1" + ], + "鞳": [ + "ㄊㄚ4" + ], + "鞴": [ + "ㄅㄟ4", + "ㄈㄨ2", + "ㄅㄨ4", + "ㄅㄞ4" + ], + "鞵": [ + "ㄒㄧㄝ2" + ], + "鞶": [ + "ㄆㄢ2" + ], + "鞷": [ + "ㄍㄜ2" + ], + "鞸": [ + "ㄅㄧ4", + "ㄅㄧㄥ3" + ], + "鞹": [ + "ㄎㄨㄛ4" + ], + "鞺": [ + "ㄊㄤ1" + ], + "鞻": [ + "ㄌㄡ2" + ], + "鞼": [ + "ㄍㄨㄟ4", + "ㄏㄨㄟ4" + ], + "鞽": [ + "ㄑㄧㄠ2", + "ㄑㄧㄠ1", + "ㄐㄩㄝ1" + ], + "鞾": [ + "ㄒㄩㄝ1" + ], + "鞿": [ + "ㄐㄧ1" + ], + "韀": [ + "ㄐㄧㄢ1" + ], + "韁": [ + "ㄐㄧㄤ1" + ], + "韂": [ + "ㄔㄢ4" + ], + "韃": [ + "ㄉㄚ2", + "ㄊㄚ4" + ], + "韄": [ + "ㄏㄨ4" + ], + "韅": [ + "ㄒㄧㄢ3" + ], + "韆": [ + "ㄑㄧㄢ1" + ], + "韇": [ + "ㄉㄨ2" + ], + "韈": [ + "ㄨㄚ4" + ], + "韉": [ + "ㄐㄧㄢ1" + ], + "韊": [ + "ㄌㄢ2" + ], + "韋": [ + "ㄨㄟ2", + "ㄏㄨㄟ2" + ], + "韌": [ + "ㄖㄣ4" + ], + "韍": [ + "ㄈㄨ2" + ], + "韎": [ + "ㄇㄟ4" + ], + "韏": [ + "ㄑㄩㄢ4", + "ㄐㄩㄢ4" + ], + "韐": [ + "ㄍㄜ2" + ], + "韑": [ + "ㄨㄟ3" + ], + "韒": [ + "ㄑㄧㄠ4", + "ㄕㄠ1" + ], + "韓": [ + "ㄏㄢ2" + ], + "韔": [ + "ㄔㄤ4" + ], + "韕": [ + "ㄎㄨㄛ4" + ], + "韖": [ + "ㄖㄡ3" + ], + "韗": [ + "ㄩㄣ4" + ], + "韘": [ + "ㄕㄜ4" + ], + "韙": [ + "ㄨㄟ3" + ], + "韚": [ + "ㄍㄜ2" + ], + "韛": [ + "ㄅㄞ4", + "ㄈㄨ2" + ], + "韜": [ + "ㄊㄠ1", + "ㄊㄠ4" + ], + "韝": [ + "ㄍㄡ1" + ], + "韞": [ + "ㄩㄣ4", + "ㄨㄣ1" + ], + "韟": [ + "ㄍㄠ1" + ], + "韠": [ + "ㄅㄧ4" + ], + "韡": [ + "ㄨㄟ3", + "ㄒㄩㄝ1" + ], + "韢": [ + "ㄙㄨㄟ4", + "ㄏㄨㄟ4" + ], + "韣": [ + "ㄉㄨ2" + ], + "韤": [ + "ㄨㄚ4" + ], + "韥": [ + "ㄉㄨ2" + ], + "韦": [ + "ㄨㄟ2" + ], + "韧": [ + "ㄖㄣ4" + ], + "韨": [ + "ㄈㄨ2" + ], + "韩": [ + "ㄏㄢ2" + ], + "韪": [ + "ㄨㄟ3" + ], + "韫": [ + "ㄩㄣ4" + ], + "韬": [ + "ㄊㄠ1" + ], + "韭": [ + "ㄐㄧㄡ3" + ], + "韮": [ + "ㄐㄧㄡ3" + ], + "韯": [ + "ㄒㄧㄢ1" + ], + "韰": [ + "ㄒㄧㄝ4" + ], + "韱": [ + "ㄒㄧㄢ1" + ], + "韲": [ + "ㄐㄧ1" + ], + "音": [ + "ㄧㄣ1" + ], + "韴": [ + "ㄗㄚ2" + ], + "韵": [ + "ㄩㄣ4" + ], + "韶": [ + "ㄕㄠ2" + ], + "韷": [ + "ㄌㄜ4" + ], + "韸": [ + "ㄆㄥ2" + ], + "韹": [ + "ㄏㄨㄤ2", + "ㄧㄥ1" + ], + "韺": [ + "ㄧㄥ1" + ], + "韻": [ + "ㄩㄣ4" + ], + "韼": [ + "ㄆㄥ2" + ], + "韽": [ + "ㄢ1" + ], + "韾": [ + "ㄧㄣ1" + ], + "響": [ + "ㄒㄧㄤ3" + ], + "頀": [ + "ㄏㄨ4" + ], + "頁": [ + "ㄧㄝ4", + "ㄒㄧㄝ2" + ], + "頂": [ + "ㄉㄧㄥ3" + ], + "頃": [ + "ㄑㄧㄥ3", + "ㄑㄧㄥ1", + "ㄎㄨㄟ3" + ], + "頄": [ + "ㄎㄨㄟ2" + ], + "項": [ + "ㄒㄧㄤ4" + ], + "順": [ + "ㄕㄨㄣ4" + ], + "頇": [ + "ㄏㄢ1", + "ㄢ4" + ], + "須": [ + "ㄒㄩ1" + ], + "頉": [ + "ㄧ2" + ], + "頊": [ + "ㄒㄩ1" + ], + "頋": [ + "ㄜ3" + ], + "頌": [ + "ㄙㄨㄥ4", + "ㄖㄨㄥ2" + ], + "頍": [ + "ㄎㄨㄟ3" + ], + "頎": [ + "ㄑㄧ2", + "ㄎㄣ3" + ], + "頏": [ + "ㄏㄤ2", + "ㄍㄤ1", + "ㄏㄤ4" + ], + "預": [ + "ㄩ4" + ], + "頑": [ + "ㄨㄢ2", + "ㄎㄨㄣ1" + ], + "頒": [ + "ㄅㄢ1", + "ㄈㄣ2" + ], + "頓": [ + "ㄉㄨㄣ4", + "ㄉㄨ2" + ], + "頔": [ + "ㄉㄧ2" + ], + "頕": [ + "ㄉㄢ1", + "ㄉㄧㄢ4" + ], + "頖": [ + "ㄆㄢ4" + ], + "頗": [ + "ㄆㄛ1", + "ㄆㄛ3", + "ㄆㄛ4", + "ㄆㄧ2" + ], + "領": [ + "ㄌㄧㄥ3" + ], + "頙": [ + "ㄔㄜ4" + ], + "頚": [ + "ㄐㄧㄥ3" + ], + "頛": [ + "ㄌㄟ4" + ], + "頜": [ + "ㄏㄜ2", + "ㄏㄢ2", + "ㄑㄧㄣ1", + "ㄍㄜ2" + ], + "頝": [ + "ㄑㄧㄠ1" + ], + "頞": [ + "ㄜ4", + "ㄢ4" + ], + "頟": [ + "ㄜ2" + ], + "頠": [ + "ㄨㄟ3" + ], + "頡": [ + "ㄒㄧㄝ2", + "ㄐㄧㄚ2", + "ㄐㄧㄝ2" + ], + "頢": [ + "ㄎㄨㄛ4" + ], + "頣": [ + "ㄕㄣ3" + ], + "頤": [ + "ㄧ2" + ], + "頥": [ + "ㄧ2" + ], + "頦": [ + "ㄏㄞ2", + "ㄎㄜ1", + "ㄎㄜ2" + ], + "頧": [ + "ㄉㄨㄟ3", + "ㄉㄨㄟ1" + ], + "頨": [ + "ㄩ3", + "ㄅㄧㄢ4" + ], + "頩": [ + "ㄆㄧㄥ1", + "ㄆㄧㄥ3" + ], + "頪": [ + "ㄌㄟ4" + ], + "頫": [ + "ㄈㄨ3", + "ㄊㄠ1", + "ㄊㄧㄠ4" + ], + "頬": [ + "ㄐㄧㄚ2" + ], + "頭": [ + "ㄊㄡ2", + "ㄊㄡ5" + ], + "頮": [ + "ㄏㄨㄟ4" + ], + "頯": [ + "ㄎㄨㄟ2" + ], + "頰": [ + "ㄐㄧㄚ2" + ], + "頱": [ + "ㄌㄨㄛ1" + ], + "頲": [ + "ㄊㄧㄥ3" + ], + "頳": [ + "ㄔㄥ1" + ], + "頴": [ + "ㄧㄥ3", + "ㄐㄧㄥ3" + ], + "頵": [ + "ㄩㄣ1" + ], + "頶": [ + "ㄏㄨ2" + ], + "頷": [ + "ㄏㄢ4" + ], + "頸": [ + "ㄐㄧㄥ3", + "ㄍㄥ3" + ], + "頹": [ + "ㄊㄨㄟ2" + ], + "頺": [ + "ㄊㄨㄟ2" + ], + "頻": [ + "ㄆㄧㄣ2", + "ㄅㄧㄣ1" + ], + "頼": [ + "ㄌㄞ4" + ], + "頽": [ + "ㄊㄨㄟ2" + ], + "頾": [ + "ㄗ1" + ], + "頿": [ + "ㄗ1" + ], + "顀": [ + "ㄔㄨㄟ2" + ], + "顁": [ + "ㄉㄧㄥ4", + "ㄉㄧㄥ3" + ], + "顂": [ + "ㄌㄞ4", + "ㄌㄞ2" + ], + "顃": [ + "ㄊㄢ2", + "ㄕㄢ3" + ], + "顄": [ + "ㄏㄢ4" + ], + "顅": [ + "ㄑㄧㄢ1" + ], + "顆": [ + "ㄎㄜ1", + "ㄎㄜ3", + "ㄎㄨㄢ3" + ], + "顇": [ + "ㄘㄨㄟ4", + "ㄗㄨ2" + ], + "顈": [ + "ㄒㄩㄢ3", + "ㄐㄩㄥ1", + "ㄐㄩㄥ3", + "ㄒㄧㄢ4" + ], + "顉": [ + "ㄑㄧㄣ1" + ], + "顊": [ + "ㄧ2" + ], + "顋": [ + "ㄙㄞ1" + ], + "題": [ + "ㄊㄧ2", + "ㄉㄧ4" + ], + "額": [ + "ㄜ2" + ], + "顎": [ + "ㄜ4" + ], + "顏": [ + "ㄧㄢ2" + ], + "顐": [ + "ㄨㄣ4", + "ㄏㄨㄣ2", + "ㄏㄨㄣ4" + ], + "顑": [ + "ㄎㄢ3", + "ㄧㄢ4" + ], + "顒": [ + "ㄩㄥ2", + "ㄩ2" + ], + "顓": [ + "ㄓㄨㄢ1" + ], + "顔": [ + "ㄧㄢ2", + "ㄧㄚ2" + ], + "顕": [ + "ㄒㄧㄢ3" + ], + "顖": [ + "ㄒㄧㄣ4" + ], + "顗": [ + "ㄧ3" + ], + "願": [ + "ㄩㄢ4", + "ㄩㄢ3" + ], + "顙": [ + "ㄙㄤ3" + ], + "顚": [ + "ㄉㄧㄢ1", + "ㄊㄧㄢ2", + "ㄊㄧㄢ4" + ], + "顛": [ + "ㄉㄧㄢ1" + ], + "顜": [ + "ㄐㄧㄤ3" + ], + "顝": [ + "ㄎㄨㄟ1", + "ㄎㄨㄚ3" + ], + "類": [ + "ㄌㄟ4" + ], + "顟": [ + "ㄌㄠ2" + ], + "顠": [ + "ㄆㄧㄠ3" + ], + "顡": [ + "ㄨㄞ4", + "ㄓㄨㄞ4" + ], + "顢": [ + "ㄇㄢ2" + ], + "顣": [ + "ㄘㄨ4" + ], + "顤": [ + "ㄧㄠ2", + "ㄑㄧㄠ4" + ], + "顥": [ + "ㄏㄠ4" + ], + "顦": [ + "ㄑㄧㄠ2" + ], + "顧": [ + "ㄍㄨ4" + ], + "顨": [ + "ㄒㄩㄣ4" + ], + "顩": [ + "ㄧㄢ3", + "ㄑㄧㄣ4", + "ㄏㄢ4", + "ㄑㄧㄢ3" + ], + "顪": [ + "ㄏㄨㄟ4" + ], + "顫": [ + "ㄔㄢ4", + "ㄓㄢ4", + "ㄕㄢ1" + ], + "顬": [ + "ㄖㄨ2" + ], + "顭": [ + "ㄇㄥ2" + ], + "顮": [ + "ㄅㄧㄣ1" + ], + "顯": [ + "ㄒㄧㄢ3", + "ㄒㄧㄢ4" + ], + "顰": [ + "ㄆㄧㄣ2" + ], + "顱": [ + "ㄌㄨ2" + ], + "顲": [ + "ㄌㄢ3", + "ㄌㄧㄣ3" + ], + "顳": [ + "ㄋㄧㄝ4" + ], + "顴": [ + "ㄑㄩㄢ2" + ], + "页": [ + "ㄧㄝ4" + ], + "顶": [ + "ㄉㄧㄥ3" + ], + "顷": [ + "ㄑㄧㄥ3" + ], + "顸": [ + "ㄏㄢ1" + ], + "项": [ + "ㄒㄧㄤ4" + ], + "顺": [ + "ㄕㄨㄣ4" + ], + "须": [ + "ㄒㄩ1" + ], + "顼": [ + "ㄒㄩ1" + ], + "顽": [ + "ㄨㄢ2" + ], + "顾": [ + "ㄍㄨ4" + ], + "顿": [ + "ㄉㄨㄣ4", + "ㄉㄨ2" + ], + "颀": [ + "ㄑㄧ2" + ], + "颁": [ + "ㄅㄢ1" + ], + "颂": [ + "ㄙㄨㄥ4" + ], + "颃": [ + "ㄏㄤ2" + ], + "预": [ + "ㄩ4" + ], + "颅": [ + "ㄌㄨ2" + ], + "领": [ + "ㄌㄧㄥ3" + ], + "颇": [ + "ㄆㄛ3", + "ㄆㄛ1" + ], + "颈": [ + "ㄐㄧㄥ3", + "ㄍㄥ3" + ], + "颉": [ + "ㄐㄧㄝ2", + "ㄒㄧㄝ2" + ], + "颊": [ + "ㄐㄧㄚ2" + ], + "颋": [ + "ㄊㄧㄥ3" + ], + "颌": [ + "ㄏㄜ2", + "ㄍㄜ2" + ], + "颍": [ + "ㄧㄥ3" + ], + "颎": [ + "ㄐㄩㄥ3" + ], + "颏": [ + "ㄎㄜ1", + "ㄎㄜ2" + ], + "颐": [ + "ㄧ2" + ], + "频": [ + "ㄆㄧㄣ2" + ], + "颒": [ + "ㄏㄨㄟ4" + ], + "颓": [ + "ㄊㄨㄟ2" + ], + "颔": [ + "ㄏㄢ4" + ], + "颕": [ + "ㄧㄥ3" + ], + "颖": [ + "ㄧㄥ3" + ], + "颗": [ + "ㄎㄜ1" + ], + "题": [ + "ㄊㄧ2" + ], + "颙": [ + "ㄩㄥ2" + ], + "颚": [ + "ㄜ4" + ], + "颛": [ + "ㄓㄨㄢ1" + ], + "颜": [ + "ㄧㄢ2" + ], + "额": [ + "ㄜ2" + ], + "颞": [ + "ㄋㄧㄝ4" + ], + "颟": [ + "ㄇㄢ1" + ], + "颠": [ + "ㄉㄧㄢ1" + ], + "颡": [ + "ㄙㄤ3" + ], + "颢": [ + "ㄏㄠ4" + ], + "颣": [ + "ㄌㄟ4" + ], + "颤": [ + "ㄔㄢ4", + "ㄓㄢ4" + ], + "颥": [ + "ㄖㄨ2" + ], + "颦": [ + "ㄆㄧㄣ2" + ], + "颧": [ + "ㄑㄩㄢ2" + ], + "風": [ + "ㄈㄥ1", + "ㄈㄥ4", + "ㄈㄥ3" + ], + "颩": [ + "ㄅㄧㄠ1", + "ㄉㄧㄡ1" + ], + "颪": [ + "ㄍㄨㄚ1" + ], + "颫": [ + "ㄈㄨ2" + ], + "颬": [ + "ㄒㄧㄚ1" + ], + "颭": [ + "ㄓㄢ3" + ], + "颮": [ + "ㄅㄧㄠ1", + "ㄆㄠ2" + ], + "颯": [ + "ㄙㄚ4", + "ㄌㄧ4" + ], + "颰": [ + "ㄅㄚ2", + "ㄈㄨ2" + ], + "颱": [ + "ㄊㄞ2" + ], + "颲": [ + "ㄌㄧㄝ4" + ], + "颳": [ + "ㄍㄨㄚ1", + "ㄐㄧ3" + ], + "颴": [ + "ㄒㄩㄢ4" + ], + "颵": [ + "ㄕㄠ1", + "ㄒㄧㄠ1" + ], + "颶": [ + "ㄐㄩ4" + ], + "颷": [ + "ㄅㄧㄠ1" + ], + "颸": [ + "ㄙ1" + ], + "颹": [ + "ㄨㄟ3" + ], + "颺": [ + "ㄧㄤ2" + ], + "颻": [ + "ㄧㄠ2", + "ㄧㄠ4" + ], + "颼": [ + "ㄙㄡ1" + ], + "颽": [ + "ㄎㄞ3" + ], + "颾": [ + "ㄙㄡ1", + "ㄙㄠ1" + ], + "颿": [ + "ㄈㄢ1" + ], + "飀": [ + "ㄌㄧㄡ2" + ], + "飁": [ + "ㄒㄧ2" + ], + "飂": [ + "ㄌㄧㄡ4", + "ㄌㄧㄠ2" + ], + "飃": [ + "ㄆㄧㄠ1", + "ㄆㄧㄠ4" + ], + "飄": [ + "ㄆㄧㄠ1" + ], + "飅": [ + "ㄌㄧㄡ2" + ], + "飆": [ + "ㄅㄧㄠ1" + ], + "飇": [ + "ㄅㄧㄠ1" + ], + "飈": [ + "ㄅㄧㄠ1" + ], + "飉": [ + "ㄌㄧㄠ2" + ], + "飊": [ + "ㄅㄧㄠ1" + ], + "飋": [ + "ㄙㄜ4" + ], + "飌": [ + "ㄈㄥ1" + ], + "飍": [ + "ㄒㄧㄡ1" + ], + "风": [ + "ㄈㄥ1" + ], + "飏": [ + "ㄧㄤ2" + ], + "飐": [ + "ㄓㄢ3" + ], + "飑": [ + "ㄅㄧㄠ1" + ], + "飒": [ + "ㄙㄚ4" + ], + "飓": [ + "ㄐㄩ4" + ], + "飔": [ + "ㄙ1" + ], + "飕": [ + "ㄙㄡ1" + ], + "飖": [ + "ㄧㄠ2" + ], + "飗": [ + "ㄌㄧㄡ2" + ], + "飘": [ + "ㄆㄧㄠ1" + ], + "飙": [ + "ㄅㄧㄠ1" + ], + "飚": [ + "ㄅㄧㄠ1" + ], + "飛": [ + "ㄈㄟ1" + ], + "飜": [ + "ㄈㄢ1" + ], + "飝": [ + "ㄈㄟ1" + ], + "飞": [ + "ㄈㄟ1" + ], + "食": [ + "ㄕ2", + "ㄙ4", + "ㄧ4" + ], + "飠": [ + "ㄕ2" + ], + "飡": [ + "ㄘㄢ1" + ], + "飢": [ + "ㄐㄧ1" + ], + "飣": [ + "ㄉㄧㄥ4" + ], + "飤": [ + "ㄙ4" + ], + "飥": [ + "ㄊㄨㄛ1" + ], + "飦": [ + "ㄓㄢ1", + "ㄍㄢ1" + ], + "飧": [ + "ㄙㄨㄣ1" + ], + "飨": [ + "ㄒㄧㄤ3" + ], + "飩": [ + "ㄊㄨㄣ2", + "ㄓㄨㄣ4" + ], + "飪": [ + "ㄖㄣ4" + ], + "飫": [ + "ㄩ4" + ], + "飬": [ + "ㄐㄩㄢ4", + "ㄩㄥ3" + ], + "飭": [ + "ㄔ4", + "ㄕ4" + ], + "飮": [ + "ㄧㄣ3" + ], + "飯": [ + "ㄈㄢ4" + ], + "飰": [ + "ㄈㄢ4" + ], + "飱": [ + "ㄙㄨㄣ1", + "ㄘㄢ1" + ], + "飲": [ + "ㄧㄣ3", + "ㄧㄣ4" + ], + "飳": [ + "ㄊㄡ3", + "ㄓㄨ4" + ], + "飴": [ + "ㄧ2", + "ㄙ4" + ], + "飵": [ + "ㄗㄨㄛ4", + "ㄗㄜ2" + ], + "飶": [ + "ㄅㄧ4" + ], + "飷": [ + "ㄐㄧㄝ3" + ], + "飸": [ + "ㄊㄠ1" + ], + "飹": [ + "ㄅㄠ3" + ], + "飺": [ + "ㄘ2" + ], + "飻": [ + "ㄊㄧㄝ4" + ], + "飼": [ + "ㄙ4" + ], + "飽": [ + "ㄅㄠ3" + ], + "飾": [ + "ㄕ4", + "ㄔ4" + ], + "飿": [ + "ㄉㄨㄛ4" + ], + "餀": [ + "ㄏㄞ4" + ], + "餁": [ + "ㄖㄣ4" + ], + "餂": [ + "ㄊㄧㄢ3", + "ㄊㄧㄢ2" + ], + "餃": [ + "ㄐㄧㄠ3", + "ㄐㄧㄠ4" + ], + "餄": [ + "ㄐㄧㄚ2", + "ㄏㄜ2" + ], + "餅": [ + "ㄅㄧㄥ3" + ], + "餆": [ + "ㄧㄠ2" + ], + "餇": [ + "ㄊㄨㄥ2" + ], + "餈": [ + "ㄘ2" + ], + "餉": [ + "ㄒㄧㄤ3" + ], + "養": [ + "ㄧㄤ3", + "ㄧㄤ4" + ], + "餋": [ + "ㄐㄩㄢ4" + ], + "餌": [ + "ㄦ3" + ], + "餍": [ + "ㄧㄢ4" + ], + "餎": [ + "ㄌㄜ5" + ], + "餏": [ + "ㄒㄧ1" + ], + "餐": [ + "ㄘㄢ1", + "ㄙㄨㄣ1" + ], + "餑": [ + "ㄅㄛ1" + ], + "餒": [ + "ㄋㄟ3" + ], + "餓": [ + "ㄜ4" + ], + "餔": [ + "ㄅㄨ4", + "ㄅㄨ1" + ], + "餕": [ + "ㄐㄩㄣ4" + ], + "餖": [ + "ㄉㄡ4" + ], + "餗": [ + "ㄙㄨ4" + ], + "餘": [ + "ㄩ2", + "ㄧㄝ2" + ], + "餙": [ + "ㄕ4", + "ㄒㄧ1" + ], + "餚": [ + "ㄧㄠ2" + ], + "餛": [ + "ㄏㄨㄣ2", + "ㄎㄨㄣ1" + ], + "餜": [ + "ㄍㄨㄛ3" + ], + "餝": [ + "ㄕ4" + ], + "餞": [ + "ㄐㄧㄢ4" + ], + "餟": [ + "ㄓㄨㄟ4" + ], + "餠": [ + "ㄅㄧㄥ3" + ], + "餡": [ + "ㄒㄧㄢ4", + "ㄎㄢ4" + ], + "餢": [ + "ㄅㄨ4" + ], + "餣": [ + "ㄧㄝ4" + ], + "餤": [ + "ㄊㄢ2", + "ㄉㄢ4" + ], + "餥": [ + "ㄈㄟ1" + ], + "餦": [ + "ㄓㄤ1" + ], + "餧": [ + "ㄨㄟ4", + "ㄋㄟ3" + ], + "館": [ + "ㄍㄨㄢ3" + ], + "餩": [ + "ㄜ4" + ], + "餪": [ + "ㄋㄨㄢ3", + "ㄋㄨㄢ4" + ], + "餫": [ + "ㄩㄣ4", + "ㄏㄨㄣ2" + ], + "餬": [ + "ㄏㄨ2" + ], + "餭": [ + "ㄏㄨㄤ2" + ], + "餮": [ + "ㄊㄧㄝ4" + ], + "餯": [ + "ㄏㄨㄟ4" + ], + "餰": [ + "ㄐㄧㄢ1", + "ㄓㄢ1" + ], + "餱": [ + "ㄏㄡ2" + ], + "餲": [ + "ㄞ4", + "ㄏㄜ2" + ], + "餳": [ + "ㄊㄤ2", + "ㄒㄧㄥ2" + ], + "餴": [ + "ㄈㄣ1" + ], + "餵": [ + "ㄨㄟ4" + ], + "餶": [ + "ㄍㄨ3" + ], + "餷": [ + "ㄔㄚ1" + ], + "餸": [ + "ㄙㄨㄥ4" + ], + "餹": [ + "ㄊㄤ2" + ], + "餺": [ + "ㄅㄛ2" + ], + "餻": [ + "ㄍㄠ1" + ], + "餼": [ + "ㄒㄧ4" + ], + "餽": [ + "ㄎㄨㄟ4" + ], + "餾": [ + "ㄌㄧㄡ4", + "ㄌㄧㄡ2" + ], + "餿": [ + "ㄙㄡ1" + ], + "饀": [ + "ㄊㄠ2", + "ㄊㄠ1", + "ㄒㄧㄢ4" + ], + "饁": [ + "ㄧㄝ4" + ], + "饂": [ + "ㄨㄣ1" + ], + "饃": [ + "ㄇㄛ2" + ], + "饄": [ + "ㄊㄤ2" + ], + "饅": [ + "ㄇㄢ2" + ], + "饆": [ + "ㄅㄧ4" + ], + "饇": [ + "ㄩ4" + ], + "饈": [ + "ㄒㄧㄡ1" + ], + "饉": [ + "ㄐㄧㄣ3" + ], + "饊": [ + "ㄙㄢ3" + ], + "饋": [ + "ㄎㄨㄟ4", + "ㄊㄨㄟ2" + ], + "饌": [ + "ㄓㄨㄢ4", + "ㄒㄩㄢ3" + ], + "饍": [ + "ㄕㄢ4" + ], + "饎": [ + "ㄔ4" + ], + "饏": [ + "ㄉㄢ4" + ], + "饐": [ + "ㄧ4", + "ㄧㄝ1", + "ㄣ4" + ], + "饑": [ + "ㄐㄧ1", + "ㄑㄧ2" + ], + "饒": [ + "ㄖㄠ2" + ], + "饓": [ + "ㄔㄥ1" + ], + "饔": [ + "ㄩㄥ1" + ], + "饕": [ + "ㄊㄠ1" + ], + "饖": [ + "ㄨㄟ4" + ], + "饗": [ + "ㄒㄧㄤ3" + ], + "饘": [ + "ㄓㄢ1" + ], + "饙": [ + "ㄈㄣ1" + ], + "饚": [ + "ㄏㄞ4" + ], + "饛": [ + "ㄇㄥ2" + ], + "饜": [ + "ㄧㄢ4" + ], + "饝": [ + "ㄇㄛ2" + ], + "饞": [ + "ㄔㄢ2" + ], + "饟": [ + "ㄒㄧㄤ3" + ], + "饠": [ + "ㄌㄨㄛ2" + ], + "饡": [ + "ㄗㄢ4" + ], + "饢": [ + "ㄋㄤ2", + "ㄋㄤ3" + ], + "饣": [ + "ㄕ2" + ], + "饤": [ + "ㄉㄧㄥ4" + ], + "饥": [ + "ㄐㄧ1" + ], + "饦": [ + "ㄊㄨㄛ1" + ], + "饧": [ + "ㄊㄤ2", + "ㄒㄧㄥ2" + ], + "饨": [ + "ㄊㄨㄣ2" + ], + "饩": [ + "ㄒㄧ4" + ], + "饪": [ + "ㄖㄣ4" + ], + "饫": [ + "ㄩ4" + ], + "饬": [ + "ㄔ4" + ], + "饭": [ + "ㄈㄢ4" + ], + "饮": [ + "ㄧㄣ3", + "ㄧㄣ4" + ], + "饯": [ + "ㄐㄧㄢ4" + ], + "饰": [ + "ㄕ4" + ], + "饱": [ + "ㄅㄠ3" + ], + "饲": [ + "ㄙ4" + ], + "饳": [ + "ㄉㄨㄛ4" + ], + "饴": [ + "ㄧ2" + ], + "饵": [ + "ㄦ3" + ], + "饶": [ + "ㄖㄠ2" + ], + "饷": [ + "ㄒㄧㄤ3" + ], + "饸": [ + "ㄏㄜ2" + ], + "饹": [ + "ㄌㄜ5", + "ㄍㄜ1" + ], + "饺": [ + "ㄐㄧㄠ3" + ], + "饻": [ + "ㄒㄧ1" + ], + "饼": [ + "ㄅㄧㄥ3" + ], + "饽": [ + "ㄅㄛ1" + ], + "饾": [ + "ㄉㄡ4" + ], + "饿": [ + "ㄜ4" + ], + "馀": [ + "ㄩ2" + ], + "馁": [ + "ㄋㄟ3" + ], + "馂": [ + "ㄐㄩㄣ4" + ], + "馃": [ + "ㄍㄨㄛ3" + ], + "馄": [ + "ㄏㄨㄣ2" + ], + "馅": [ + "ㄒㄧㄢ4" + ], + "馆": [ + "ㄍㄨㄢ3" + ], + "馇": [ + "ㄔㄚ1", + "ㄓㄚ5" + ], + "馈": [ + "ㄎㄨㄟ4" + ], + "馉": [ + "ㄍㄨ3" + ], + "馊": [ + "ㄙㄡ1" + ], + "馋": [ + "ㄔㄢ2" + ], + "馌": [ + "ㄧㄝ4" + ], + "馍": [ + "ㄇㄛ2" + ], + "馎": [ + "ㄅㄛ2" + ], + "馏": [ + "ㄌㄧㄡ2", + "ㄌㄧㄡ4" + ], + "馐": [ + "ㄒㄧㄡ1" + ], + "馑": [ + "ㄐㄧㄣ3" + ], + "馒": [ + "ㄇㄢ2" + ], + "馓": [ + "ㄙㄢ3" + ], + "馔": [ + "ㄓㄨㄢ4" + ], + "馕": [ + "ㄋㄤ2", + "ㄋㄤ3" + ], + "首": [ + "ㄕㄡ3" + ], + "馗": [ + "ㄎㄨㄟ2", + "ㄑㄧㄡ2" + ], + "馘": [ + "ㄍㄨㄛ2", + "ㄒㄩ4" + ], + "香": [ + "ㄒㄧㄤ1" + ], + "馚": [ + "ㄈㄣ2" + ], + "馛": [ + "ㄅㄛ2" + ], + "馜": [ + "ㄋㄧ3" + ], + "馝": [ + "ㄅㄧ4" + ], + "馞": [ + "ㄅㄛ2", + "ㄆㄛ4" + ], + "馟": [ + "ㄊㄨ2" + ], + "馠": [ + "ㄏㄢ1" + ], + "馡": [ + "ㄈㄟ1" + ], + "馢": [ + "ㄐㄧㄢ1" + ], + "馣": [ + "ㄢ1" + ], + "馤": [ + "ㄞ4" + ], + "馥": [ + "ㄈㄨ4", + "ㄅㄧ4" + ], + "馦": [ + "ㄒㄧㄢ1" + ], + "馧": [ + "ㄩㄣ1", + "ㄨㄛ4" + ], + "馨": [ + "ㄒㄧㄣ1" + ], + "馩": [ + "ㄈㄣ2" + ], + "馪": [ + "ㄆㄧㄣ1" + ], + "馫": [ + "ㄒㄧㄣ1" + ], + "馬": [ + "ㄇㄚ3" + ], + "馭": [ + "ㄩ4" + ], + "馮": [ + "ㄈㄥ2", + "ㄆㄧㄥ2" + ], + "馯": [ + "ㄏㄢ4", + "ㄑㄧㄢ2", + "ㄏㄢ2" + ], + "馰": [ + "ㄉㄧ2" + ], + "馱": [ + "ㄊㄨㄛ2", + "ㄉㄨㄛ4", + "ㄉㄞ4" + ], + "馲": [ + "ㄓㄜ2", + "ㄊㄨㄛ1" + ], + "馳": [ + "ㄔ2" + ], + "馴": [ + "ㄒㄩㄣ2" + ], + "馵": [ + "ㄓㄨ4" + ], + "馶": [ + "ㄓ1", + "ㄕ4" + ], + "馷": [ + "ㄆㄟ4" + ], + "馸": [ + "ㄒㄧㄣ4", + "ㄐㄧㄣ4" + ], + "馹": [ + "ㄖ4" + ], + "馺": [ + "ㄙㄚ4" + ], + "馻": [ + "ㄩㄣ3" + ], + "馼": [ + "ㄨㄣ2" + ], + "馽": [ + "ㄓ2" + ], + "馾": [ + "ㄉㄢ4", + "ㄉㄢ3" + ], + "馿": [ + "ㄌㄩ2" + ], + "駀": [ + "ㄧㄡ2" + ], + "駁": [ + "ㄅㄛ2" + ], + "駂": [ + "ㄅㄠ3" + ], + "駃": [ + "ㄐㄩㄝ2", + "ㄎㄨㄞ4" + ], + "駄": [ + "ㄊㄨㄛ2" + ], + "駅": [ + "ㄧ4" + ], + "駆": [ + "ㄑㄩ1" + ], + "駇": [ + "ㄨㄣ2" + ], + "駈": [ + "ㄑㄩ1" + ], + "駉": [ + "ㄐㄩㄥ1" + ], + "駊": [ + "ㄆㄛ3" + ], + "駋": [ + "ㄓㄠ1" + ], + "駌": [ + "ㄩㄢ1" + ], + "駍": [ + "ㄆㄟ2", + "ㄆㄥ1" + ], + "駎": [ + "ㄓㄡ4" + ], + "駏": [ + "ㄐㄩ4" + ], + "駐": [ + "ㄓㄨ4" + ], + "駑": [ + "ㄋㄨ2" + ], + "駒": [ + "ㄐㄩ1", + "ㄐㄩ4" + ], + "駓": [ + "ㄆㄧ1" + ], + "駔": [ + "ㄗㄤ3", + "ㄗㄨ4", + "ㄗㄨ3" + ], + "駕": [ + "ㄐㄧㄚ4", + "ㄐㄧㄚ1" + ], + "駖": [ + "ㄌㄧㄥ2" + ], + "駗": [ + "ㄓㄣ3" + ], + "駘": [ + "ㄊㄞ2", + "ㄉㄞ4", + "ㄓㄞ4", + "ㄊㄞ1" + ], + "駙": [ + "ㄈㄨ4" + ], + "駚": [ + "ㄧㄤ3" + ], + "駛": [ + "ㄕ3" + ], + "駜": [ + "ㄅㄧ4" + ], + "駝": [ + "ㄊㄨㄛ2" + ], + "駞": [ + "ㄊㄨㄛ2" + ], + "駟": [ + "ㄙ4" + ], + "駠": [ + "ㄌㄧㄡ2" + ], + "駡": [ + "ㄇㄚ4" + ], + "駢": [ + "ㄆㄧㄢ2" + ], + "駣": [ + "ㄊㄠ2" + ], + "駤": [ + "ㄓ4" + ], + "駥": [ + "ㄖㄨㄥ2" + ], + "駦": [ + "ㄊㄥ2" + ], + "駧": [ + "ㄉㄨㄥ4" + ], + "駨": [ + "ㄒㄩㄣ1", + "ㄒㄩㄢ4" + ], + "駩": [ + "ㄑㄩㄢ1" + ], + "駪": [ + "ㄕㄣ1" + ], + "駫": [ + "ㄐㄩㄥ1" + ], + "駬": [ + "ㄦ3" + ], + "駭": [ + "ㄏㄞ4" + ], + "駮": [ + "ㄅㄛ2" + ], + "駯": [ + "ㄓㄨ1" + ], + "駰": [ + "ㄧㄣ1" + ], + "駱": [ + "ㄌㄨㄛ4", + "ㄐㄧㄚ4" + ], + "駲": [ + "ㄓㄡ1" + ], + "駳": [ + "ㄉㄢ4" + ], + "駴": [ + "ㄏㄞ4" + ], + "駵": [ + "ㄌㄧㄡ2" + ], + "駶": [ + "ㄐㄩ2" + ], + "駷": [ + "ㄙㄨㄥ3" + ], + "駸": [ + "ㄑㄧㄣ1" + ], + "駹": [ + "ㄇㄤ2" + ], + "駺": [ + "ㄌㄤ2", + "ㄌㄧㄤ2" + ], + "駻": [ + "ㄏㄢ4" + ], + "駼": [ + "ㄊㄨ2" + ], + "駽": [ + "ㄒㄩㄢ1" + ], + "駾": [ + "ㄊㄨㄟ4" + ], + "駿": [ + "ㄐㄩㄣ4" + ], + "騀": [ + "ㄜ3", + "ㄜ2" + ], + "騁": [ + "ㄔㄥ3" + ], + "騂": [ + "ㄒㄧㄥ1" + ], + "騃": [ + "ㄞ2", + "ㄙ4", + "ㄊㄞ3" + ], + "騄": [ + "ㄌㄨ4" + ], + "騅": [ + "ㄓㄨㄟ1" + ], + "騆": [ + "ㄓㄡ1", + "ㄉㄨㄥ4" + ], + "騇": [ + "ㄕㄜ4" + ], + "騈": [ + "ㄆㄧㄢ2" + ], + "騉": [ + "ㄎㄨㄣ1" + ], + "騊": [ + "ㄊㄠ2" + ], + "騋": [ + "ㄌㄞ2" + ], + "騌": [ + "ㄗㄨㄥ1" + ], + "騍": [ + "ㄎㄜ4" + ], + "騎": [ + "ㄑㄧ2", + "ㄐㄧ4" + ], + "騏": [ + "ㄑㄧ2" + ], + "騐": [ + "ㄧㄢ4" + ], + "騑": [ + "ㄈㄟ1" + ], + "騒": [ + "ㄙㄠ1" + ], + "験": [ + "ㄧㄢ4" + ], + "騔": [ + "ㄍㄜ2" + ], + "騕": [ + "ㄧㄠ3" + ], + "騖": [ + "ㄨ4" + ], + "騗": [ + "ㄆㄧㄢ4" + ], + "騘": [ + "ㄘㄨㄥ1" + ], + "騙": [ + "ㄆㄧㄢ4" + ], + "騚": [ + "ㄑㄧㄢ2" + ], + "騛": [ + "ㄈㄟ1" + ], + "騜": [ + "ㄏㄨㄤ2" + ], + "騝": [ + "ㄑㄧㄢ2" + ], + "騞": [ + "ㄏㄨㄛ1" + ], + "騟": [ + "ㄩ2" + ], + "騠": [ + "ㄊㄧ2" + ], + "騡": [ + "ㄑㄩㄢ2" + ], + "騢": [ + "ㄒㄧㄚ2" + ], + "騣": [ + "ㄗㄨㄥ1" + ], + "騤": [ + "ㄎㄨㄟ2", + "ㄐㄩㄝ2" + ], + "騥": [ + "ㄖㄡ2" + ], + "騦": [ + "ㄙ1" + ], + "騧": [ + "ㄍㄨㄚ1" + ], + "騨": [ + "ㄊㄨㄛ2" + ], + "騩": [ + "ㄍㄨㄟ1", + "ㄊㄨㄟ2" + ], + "騪": [ + "ㄙㄡ1" + ], + "騫": [ + "ㄑㄧㄢ1", + "ㄐㄧㄢ3" + ], + "騬": [ + "ㄔㄥ2" + ], + "騭": [ + "ㄓ4" + ], + "騮": [ + "ㄌㄧㄡ2" + ], + "騯": [ + "ㄆㄥ2", + "ㄅㄤ3" + ], + "騰": [ + "ㄊㄥ2" + ], + "騱": [ + "ㄒㄧ2" + ], + "騲": [ + "ㄘㄠ3" + ], + "騳": [ + "ㄉㄨ2" + ], + "騴": [ + "ㄧㄢ4" + ], + "騵": [ + "ㄩㄢ2" + ], + "騶": [ + "ㄗㄡ1", + "ㄓㄨ1", + "ㄓㄡ4", + "ㄑㄩ1" + ], + "騷": [ + "ㄙㄠ1", + "ㄙㄠ3", + "ㄒㄧㄠ1" + ], + "騸": [ + "ㄕㄢ4" + ], + "騹": [ + "ㄑㄧ2" + ], + "騺": [ + "ㄓ4", + "ㄔ4" + ], + "騻": [ + "ㄕㄨㄤ1" + ], + "騼": [ + "ㄌㄨ4" + ], + "騽": [ + "ㄒㄧ2" + ], + "騾": [ + "ㄌㄨㄛ2" + ], + "騿": [ + "ㄓㄤ1" + ], + "驀": [ + "ㄇㄛ4", + "ㄇㄚ4" + ], + "驁": [ + "ㄠ4", + "ㄧㄠ4" + ], + "驂": [ + "ㄘㄢ1" + ], + "驃": [ + "ㄅㄧㄠ1", + "ㄆㄧㄠ4" + ], + "驄": [ + "ㄘㄨㄥ1" + ], + "驅": [ + "ㄑㄩ1" + ], + "驆": [ + "ㄅㄧ4" + ], + "驇": [ + "ㄓ4" + ], + "驈": [ + "ㄩ4" + ], + "驉": [ + "ㄒㄩ1" + ], + "驊": [ + "ㄏㄨㄚ2" + ], + "驋": [ + "ㄅㄛ1" + ], + "驌": [ + "ㄙㄨ4" + ], + "驍": [ + "ㄒㄧㄠ1" + ], + "驎": [ + "ㄌㄧㄣ2" + ], + "驏": [ + "ㄓㄢ4" + ], + "驐": [ + "ㄉㄨㄣ1" + ], + "驑": [ + "ㄌㄧㄡ2" + ], + "驒": [ + "ㄊㄨㄛ2" + ], + "驓": [ + "ㄘㄥ2" + ], + "驔": [ + "ㄉㄧㄢ4" + ], + "驕": [ + "ㄐㄧㄠ1", + "ㄒㄧㄠ1", + "ㄐㄩ1", + "ㄑㄧㄠ2" + ], + "驖": [ + "ㄊㄧㄝ3" + ], + "驗": [ + "ㄧㄢ4" + ], + "驘": [ + "ㄌㄨㄛ2" + ], + "驙": [ + "ㄓㄢ1", + "ㄓㄢ4" + ], + "驚": [ + "ㄐㄧㄥ1" + ], + "驛": [ + "ㄧ4" + ], + "驜": [ + "ㄧㄝ4" + ], + "驝": [ + "ㄊㄨㄛ1" + ], + "驞": [ + "ㄆㄧㄣ1" + ], + "驟": [ + "ㄓㄡ4" + ], + "驠": [ + "ㄧㄢ4" + ], + "驡": [ + "ㄌㄨㄥ2", + "ㄗㄤ3" + ], + "驢": [ + "ㄌㄩ2" + ], + "驣": [ + "ㄊㄥ2" + ], + "驤": [ + "ㄒㄧㄤ1" + ], + "驥": [ + "ㄐㄧ4" + ], + "驦": [ + "ㄕㄨㄤ1" + ], + "驧": [ + "ㄐㄩ2" + ], + "驨": [ + "ㄒㄧ2" + ], + "驩": [ + "ㄏㄨㄢ1" + ], + "驪": [ + "ㄌㄧ2", + "ㄔ2" + ], + "驫": [ + "ㄅㄧㄠ1", + "ㄆㄧㄠ1" + ], + "马": [ + "ㄇㄚ3" + ], + "驭": [ + "ㄩ4" + ], + "驮": [ + "ㄊㄨㄛ2", + "ㄉㄨㄛ4" + ], + "驯": [ + "ㄒㄩㄣ4", + "ㄒㄩㄣ2" + ], + "驰": [ + "ㄔ2" + ], + "驱": [ + "ㄑㄩ1" + ], + "驲": [ + "ㄖ4" + ], + "驳": [ + "ㄅㄛ2" + ], + "驴": [ + "ㄌㄩ2" + ], + "驵": [ + "ㄗㄤ3" + ], + "驶": [ + "ㄕ3" + ], + "驷": [ + "ㄙ4" + ], + "驸": [ + "ㄈㄨ4" + ], + "驹": [ + "ㄐㄩ1" + ], + "驺": [ + "ㄗㄡ1" + ], + "驻": [ + "ㄓㄨ4" + ], + "驼": [ + "ㄊㄨㄛ2" + ], + "驽": [ + "ㄋㄨ2" + ], + "驾": [ + "ㄐㄧㄚ4" + ], + "驿": [ + "ㄧ4" + ], + "骀": [ + "ㄉㄞ4", + "ㄊㄞ2" + ], + "骁": [ + "ㄒㄧㄠ1" + ], + "骂": [ + "ㄇㄚ4" + ], + "骃": [ + "ㄧㄣ1" + ], + "骄": [ + "ㄐㄧㄠ1" + ], + "骅": [ + "ㄏㄨㄚ2" + ], + "骆": [ + "ㄌㄨㄛ4" + ], + "骇": [ + "ㄏㄞ4" + ], + "骈": [ + "ㄆㄧㄢ2" + ], + "骉": [ + "ㄅㄧㄠ1" + ], + "骊": [ + "ㄌㄧ2" + ], + "骋": [ + "ㄔㄥ3" + ], + "验": [ + "ㄧㄢ4" + ], + "骍": [ + "ㄒㄧㄥ1" + ], + "骎": [ + "ㄑㄧㄣ1" + ], + "骏": [ + "ㄐㄩㄣ4" + ], + "骐": [ + "ㄑㄧ2" + ], + "骑": [ + "ㄑㄧ2" + ], + "骒": [ + "ㄎㄜ4" + ], + "骓": [ + "ㄓㄨㄟ1" + ], + "骔": [ + "ㄗㄨㄥ1" + ], + "骕": [ + "ㄙㄨ4" + ], + "骖": [ + "ㄘㄢ1" + ], + "骗": [ + "ㄆㄧㄢ4" + ], + "骘": [ + "ㄓ4" + ], + "骙": [ + "ㄎㄨㄟ2" + ], + "骚": [ + "ㄙㄠ1" + ], + "骛": [ + "ㄨ4" + ], + "骜": [ + "ㄠ4" + ], + "骝": [ + "ㄌㄧㄡ2" + ], + "骞": [ + "ㄑㄧㄢ1" + ], + "骟": [ + "ㄕㄢ4" + ], + "骠": [ + "ㄅㄧㄠ1", + "ㄆㄧㄠ4" + ], + "骡": [ + "ㄌㄨㄛ2" + ], + "骢": [ + "ㄘㄨㄥ1" + ], + "骣": [ + "ㄔㄢ3" + ], + "骤": [ + "ㄓㄡ4" + ], + "骥": [ + "ㄐㄧ4" + ], + "骦": [ + "ㄕㄨㄤ1" + ], + "骧": [ + "ㄒㄧㄤ1" + ], + "骨": [ + "ㄍㄨ3", + "ㄍㄨ1", + "ㄍㄨ2" + ], + "骩": [ + "ㄨㄟ3" + ], + "骪": [ + "ㄨㄟ3" + ], + "骫": [ + "ㄨㄟ3", + "ㄨㄢ2" + ], + "骬": [ + "ㄩ2" + ], + "骭": [ + "ㄍㄢ4" + ], + "骮": [ + "ㄧ4" + ], + "骯": [ + "ㄤ1", + "ㄎㄤ3" + ], + "骰": [ + "ㄊㄡ2", + "ㄍㄨ3" + ], + "骱": [ + "ㄐㄧㄝ4", + "ㄐㄧㄚ2", + "ㄒㄧㄝ4" + ], + "骲": [ + "ㄅㄠ4" + ], + "骳": [ + "ㄅㄟ4" + ], + "骴": [ + "ㄘ1", + "ㄓㄞ4" + ], + "骵": [ + "ㄊㄧ3" + ], + "骶": [ + "ㄉㄧ3" + ], + "骷": [ + "ㄎㄨ1" + ], + "骸": [ + "ㄏㄞ2", + "ㄍㄞ1" + ], + "骹": [ + "ㄑㄧㄠ1", + "ㄐㄧㄠ1", + "ㄒㄧㄠ1" + ], + "骺": [ + "ㄏㄡ2" + ], + "骻": [ + "ㄎㄨㄚ4" + ], + "骼": [ + "ㄍㄜ2" + ], + "骽": [ + "ㄊㄨㄟ3" + ], + "骾": [ + "ㄍㄥ3" + ], + "骿": [ + "ㄆㄧㄢ2" + ], + "髀": [ + "ㄅㄧ4" + ], + "髁": [ + "ㄎㄜ1", + "ㄎㄨㄚ4" + ], + "髂": [ + "ㄑㄧㄚ4", + "ㄍㄜ2" + ], + "髃": [ + "ㄩ2" + ], + "髄": [ + "ㄙㄨㄟ3" + ], + "髅": [ + "ㄌㄡ2" + ], + "髆": [ + "ㄅㄛ2", + "ㄆㄛ4" + ], + "髇": [ + "ㄒㄧㄠ1" + ], + "髈": [ + "ㄅㄤ3", + "ㄆㄤ2", + "ㄆㄤ3" + ], + "髉": [ + "ㄅㄛ2", + "ㄐㄩㄝ2" + ], + "髊": [ + "ㄘ1", + "ㄘㄨㄛ1" + ], + "髋": [ + "ㄎㄨㄢ1" + ], + "髌": [ + "ㄅㄧㄣ4" + ], + "髍": [ + "ㄇㄛ2" + ], + "髎": [ + "ㄌㄧㄠ2" + ], + "髏": [ + "ㄌㄡ2" + ], + "髐": [ + "ㄒㄧㄠ1" + ], + "髑": [ + "ㄉㄨ2" + ], + "髒": [ + "ㄗㄤ1", + "ㄗㄤ3" + ], + "髓": [ + "ㄙㄨㄟ3" + ], + "體": [ + "ㄊㄧ3", + "ㄊㄧ1" + ], + "髕": [ + "ㄅㄧㄣ4" + ], + "髖": [ + "ㄎㄨㄢ1" + ], + "髗": [ + "ㄌㄨ2" + ], + "高": [ + "ㄍㄠ1", + "ㄍㄠ4" + ], + "髙": [ + "ㄍㄠ1" + ], + "髚": [ + "ㄑㄧㄠ4" + ], + "髛": [ + "ㄎㄠ1" + ], + "髜": [ + "ㄑㄧㄠ3" + ], + "髝": [ + "ㄌㄠ2" + ], + "髞": [ + "ㄙㄠ4" + ], + "髟": [ + "ㄅㄧㄠ1", + "ㄆㄧㄠ4", + "ㄕㄢ1" + ], + "髠": [ + "ㄎㄨㄣ1" + ], + "髡": [ + "ㄎㄨㄣ1" + ], + "髢": [ + "ㄉㄧ2" + ], + "髣": [ + "ㄈㄤ3" + ], + "髤": [ + "ㄒㄧㄡ1" + ], + "髥": [ + "ㄖㄢ2" + ], + "髦": [ + "ㄇㄠ2" + ], + "髧": [ + "ㄉㄢ4" + ], + "髨": [ + "ㄎㄨㄣ1" + ], + "髩": [ + "ㄅㄧㄣ4" + ], + "髪": [ + "ㄈㄚ4", + "ㄈㄚ3" + ], + "髫": [ + "ㄊㄧㄠ2" + ], + "髬": [ + "ㄆㄧ1" + ], + "髭": [ + "ㄗ1" + ], + "髮": [ + "ㄈㄚ4", + "ㄈㄚ3" + ], + "髯": [ + "ㄖㄢ2" + ], + "髰": [ + "ㄊㄧ4" + ], + "髱": [ + "ㄅㄠ4" + ], + "髲": [ + "ㄅㄧ4" + ], + "髳": [ + "ㄇㄠ2", + "ㄖㄡ2", + "ㄇㄥ2" + ], + "髴": [ + "ㄈㄨ2", + "ㄈㄟ4" + ], + "髵": [ + "ㄦ2" + ], + "髶": [ + "ㄖㄨㄥ2", + "ㄦ4" + ], + "髷": [ + "ㄑㄩ1" + ], + "髸": [ + "ㄍㄨㄥ1" + ], + "髹": [ + "ㄒㄧㄡ1" + ], + "髺": [ + "ㄎㄨㄛ4", + "ㄩㄝ4" + ], + "髻": [ + "ㄐㄧ4", + "ㄐㄧㄝ2" + ], + "髼": [ + "ㄆㄥ2" + ], + "髽": [ + "ㄓㄨㄚ1" + ], + "髾": [ + "ㄕㄠ1", + "ㄕㄠ3", + "ㄕㄠ4" + ], + "髿": [ + "ㄙㄨㄛ1" + ], + "鬀": [ + "ㄊㄧ4" + ], + "鬁": [ + "ㄌㄧ4" + ], + "鬂": [ + "ㄅㄧㄣ4" + ], + "鬃": [ + "ㄗㄨㄥ1" + ], + "鬄": [ + "ㄉㄧ2", + "ㄊㄧ4" + ], + "鬅": [ + "ㄆㄥ2" + ], + "鬆": [ + "ㄙㄨㄥ1", + "ㄙㄨㄥ4", + "ㄙㄨㄥ2" + ], + "鬇": [ + "ㄓㄥ1" + ], + "鬈": [ + "ㄑㄩㄢ2" + ], + "鬉": [ + "ㄗㄨㄥ1" + ], + "鬊": [ + "ㄕㄨㄣ4" + ], + "鬋": [ + "ㄐㄧㄢ3" + ], + "鬌": [ + "ㄊㄨㄛ3", + "ㄔㄨㄟ2", + "ㄉㄨㄛ3" + ], + "鬍": [ + "ㄏㄨ2" + ], + "鬎": [ + "ㄌㄚ4" + ], + "鬏": [ + "ㄐㄧㄡ1" + ], + "鬐": [ + "ㄑㄧ2" + ], + "鬑": [ + "ㄌㄧㄢ2" + ], + "鬒": [ + "ㄓㄣ3" + ], + "鬓": [ + "ㄅㄧㄣ4" + ], + "鬔": [ + "ㄆㄥ2" + ], + "鬕": [ + "ㄇㄚ4" + ], + "鬖": [ + "ㄙㄢ1", + "ㄙㄢ4" + ], + "鬗": [ + "ㄇㄢ2" + ], + "鬘": [ + "ㄇㄢ2" + ], + "鬙": [ + "ㄙㄥ1" + ], + "鬚": [ + "ㄒㄩ1" + ], + "鬛": [ + "ㄌㄧㄝ4" + ], + "鬜": [ + "ㄑㄧㄢ1" + ], + "鬝": [ + "ㄑㄧㄢ1" + ], + "鬞": [ + "ㄋㄤ2", + "ㄋㄤ4" + ], + "鬟": [ + "ㄏㄨㄢ2" + ], + "鬠": [ + "ㄎㄨㄛ4", + "ㄎㄨㄞ4" + ], + "鬡": [ + "ㄋㄧㄥ2" + ], + "鬢": [ + "ㄅㄧㄣ4" + ], + "鬣": [ + "ㄌㄧㄝ4" + ], + "鬤": [ + "ㄖㄤ2", + "ㄋㄧㄥ2" + ], + "鬥": [ + "ㄉㄡ4" + ], + "鬦": [ + "ㄉㄡ4" + ], + "鬧": [ + "ㄋㄠ4" + ], + "鬨": [ + "ㄏㄨㄥ4", + "ㄒㄧㄤ4" + ], + "鬩": [ + "ㄒㄧ4", + "ㄏㄜ4" + ], + "鬪": [ + "ㄉㄡ4" + ], + "鬫": [ + "ㄏㄢ3" + ], + "鬬": [ + "ㄉㄡ4" + ], + "鬭": [ + "ㄉㄡ4" + ], + "鬮": [ + "ㄐㄧㄡ1" + ], + "鬯": [ + "ㄔㄤ4" + ], + "鬰": [ + "ㄩ4" + ], + "鬱": [ + "ㄩ4" + ], + "鬲": [ + "ㄍㄜ2", + "ㄌㄧ4", + "ㄜ4" + ], + "鬳": [ + "ㄧㄢ4" + ], + "鬴": [ + "ㄈㄨ3", + "ㄌㄧ4" + ], + "鬵": [ + "ㄑㄧㄣ2", + "ㄒㄧㄣ2" + ], + "鬶": [ + "ㄍㄨㄟ1" + ], + "鬷": [ + "ㄗㄨㄥ1", + "ㄗㄥ3" + ], + "鬸": [ + "ㄌㄧㄡ4" + ], + "鬹": [ + "ㄍㄨㄟ1", + "ㄒㄧㄝ2" + ], + "鬺": [ + "ㄕㄤ1" + ], + "鬻": [ + "ㄩ4", + "ㄓㄡ1", + "ㄐㄩ1" + ], + "鬼": [ + "ㄍㄨㄟ3" + ], + "鬽": [ + "ㄇㄟ4" + ], + "鬾": [ + "ㄐㄧ4", + "ㄑㄧ2" + ], + "鬿": [ + "ㄑㄧ2" + ], + "魀": [ + "ㄍㄚ4" + ], + "魁": [ + "ㄎㄨㄟ2", + "ㄎㄨㄟ3", + "ㄎㄨㄞ4" + ], + "魂": [ + "ㄏㄨㄣ2" + ], + "魃": [ + "ㄅㄚ2" + ], + "魄": [ + "ㄆㄛ4", + "ㄅㄛ2", + "ㄊㄨㄛ4" + ], + "魅": [ + "ㄇㄟ4" + ], + "魆": [ + "ㄒㄩ1" + ], + "魇": [ + "ㄧㄢ3" + ], + "魈": [ + "ㄒㄧㄠ1" + ], + "魉": [ + "ㄌㄧㄤ3" + ], + "魊": [ + "ㄩ4" + ], + "魋": [ + "ㄊㄨㄟ2", + "ㄔㄨㄟ2" + ], + "魌": [ + "ㄑㄧ1" + ], + "魍": [ + "ㄨㄤ3" + ], + "魎": [ + "ㄌㄧㄤ3" + ], + "魏": [ + "ㄨㄟ4", + "ㄨㄟ2", + "ㄨㄟ1" + ], + "魐": [ + "ㄍㄢ1" + ], + "魑": [ + "ㄔ1" + ], + "魒": [ + "ㄆㄧㄠ1" + ], + "魓": [ + "ㄅㄧ4" + ], + "魔": [ + "ㄇㄛ2" + ], + "魕": [ + "ㄐㄧ3" + ], + "魖": [ + "ㄒㄩ1" + ], + "魗": [ + "ㄔㄡ3", + "ㄔㄡ2" + ], + "魘": [ + "ㄧㄢ3" + ], + "魙": [ + "ㄓㄢ1" + ], + "魚": [ + "ㄩ2" + ], + "魛": [ + "ㄉㄠ1" + ], + "魜": [ + "ㄖㄣ2" + ], + "魝": [ + "ㄐㄧㄝ2", + "ㄐㄧ4" + ], + "魞": [ + "ㄅㄚ1" + ], + "魟": [ + "ㄏㄨㄥ2", + "ㄍㄨㄥ1" + ], + "魠": [ + "ㄊㄨㄛ1" + ], + "魡": [ + "ㄉㄧㄠ4", + "ㄉㄧ2" + ], + "魢": [ + "ㄐㄧ3" + ], + "魣": [ + "ㄒㄩ4", + "ㄩ2" + ], + "魤": [ + "ㄜ2", + "ㄏㄨㄚ4" + ], + "魥": [ + "ㄜ4", + "ㄑㄧㄝ4", + "ㄐㄧ4" + ], + "魦": [ + "ㄕㄚ1", + "ㄙㄨㄛ1" + ], + "魧": [ + "ㄏㄤ2" + ], + "魨": [ + "ㄊㄨㄣ2" + ], + "魩": [ + "ㄇㄛ4" + ], + "魪": [ + "ㄐㄧㄝ4" + ], + "魫": [ + "ㄕㄣ3" + ], + "魬": [ + "ㄅㄢ3" + ], + "魭": [ + "ㄩㄢ2", + "ㄨㄢ3" + ], + "魮": [ + "ㄆㄧ2", + "ㄅㄧ3" + ], + "魯": [ + "ㄌㄨ3", + "ㄌㄩ3" + ], + "魰": [ + "ㄨㄣ2" + ], + "魱": [ + "ㄏㄨ2", + "ㄏㄨ4" + ], + "魲": [ + "ㄌㄨ2" + ], + "魳": [ + "ㄗㄚ1", + "ㄕ1" + ], + "魴": [ + "ㄈㄤ2" + ], + "魵": [ + "ㄈㄣ2", + "ㄈㄣ4" + ], + "魶": [ + "ㄋㄚ4" + ], + "魷": [ + "ㄧㄡ2" + ], + "魸": [ + "ㄆㄧㄢ4" + ], + "魹": [ + "ㄇㄛ2" + ], + "魺": [ + "ㄏㄜ2", + "ㄍㄜ3" + ], + "魻": [ + "ㄒㄧㄚ2", + "ㄒㄧㄚ1" + ], + "魼": [ + "ㄑㄩ1", + "ㄒㄧㄝ2" + ], + "魽": [ + "ㄏㄢ2", + "ㄏㄢ1" + ], + "魾": [ + "ㄆㄧ1", + "ㄆㄧ2" + ], + "魿": [ + "ㄌㄧㄥ2", + "ㄌㄧㄣ2" + ], + "鮀": [ + "ㄊㄨㄛ2" + ], + "鮁": [ + "ㄅㄛ1", + "ㄅㄚ4" + ], + "鮂": [ + "ㄑㄧㄡ2" + ], + "鮃": [ + "ㄆㄧㄥ2" + ], + "鮄": [ + "ㄈㄨ2" + ], + "鮅": [ + "ㄅㄧ4" + ], + "鮆": [ + "ㄘ3", + "ㄐㄧ4" + ], + "鮇": [ + "ㄨㄟ4" + ], + "鮈": [ + "ㄐㄩ1", + "ㄑㄩ2", + "ㄍㄡ3" + ], + "鮉": [ + "ㄉㄧㄠ1" + ], + "鮊": [ + "ㄅㄚ4", + "ㄅㄛ2" + ], + "鮋": [ + "ㄧㄡ2", + "ㄔㄡ2" + ], + "鮌": [ + "ㄍㄨㄣ3" + ], + "鮍": [ + "ㄆㄧ1", + "ㄆㄧ2", + "ㄐㄩ4" + ], + "鮎": [ + "ㄋㄧㄢ2" + ], + "鮏": [ + "ㄒㄧㄥ1", + "ㄓㄥ1" + ], + "鮐": [ + "ㄊㄞ2" + ], + "鮑": [ + "ㄅㄠ4", + "ㄅㄠ1", + "ㄆㄠ1" + ], + "鮒": [ + "ㄈㄨ4" + ], + "鮓": [ + "ㄓㄚ3", + "ㄓㄚ4" + ], + "鮔": [ + "ㄐㄩ4" + ], + "鮕": [ + "ㄍㄨ1" + ], + "鮖": [ + "ㄕ2" + ], + "鮗": [ + "ㄉㄨㄥ1" + ], + "鮘": [ + "ㄉㄞ5" + ], + "鮙": [ + "ㄊㄚ4" + ], + "鮚": [ + "ㄐㄧㄝ2", + "ㄑㄧㄚ4" + ], + "鮛": [ + "ㄕㄨ1" + ], + "鮜": [ + "ㄏㄡ4" + ], + "鮝": [ + "ㄒㄧㄤ3", + "ㄓㄣ4" + ], + "鮞": [ + "ㄦ2" + ], + "鮟": [ + "ㄢ4", + "ㄢ1" + ], + "鮠": [ + "ㄨㄟ2" + ], + "鮡": [ + "ㄓㄠ4" + ], + "鮢": [ + "ㄓㄨ1" + ], + "鮣": [ + "ㄧㄣ4" + ], + "鮤": [ + "ㄌㄧㄝ4" + ], + "鮥": [ + "ㄌㄨㄛ4", + "ㄍㄜ2" + ], + "鮦": [ + "ㄊㄨㄥ2" + ], + "鮧": [ + "ㄊㄧ3", + "ㄧ2" + ], + "鮨": [ + "ㄧ4", + "ㄑㄧ2" + ], + "鮩": [ + "ㄅㄧㄥ4", + "ㄅㄧ4" + ], + "鮪": [ + "ㄨㄟ3" + ], + "鮫": [ + "ㄐㄧㄠ1" + ], + "鮬": [ + "ㄎㄨ1", + "ㄎㄨ4" + ], + "鮭": [ + "ㄍㄨㄟ1", + "ㄒㄧㄝ2", + "ㄏㄨㄚ4", + "ㄨㄚ1", + "ㄎㄨㄟ2" + ], + "鮮": [ + "ㄒㄧㄢ1", + "ㄒㄧㄢ3", + "ㄒㄧㄢ4" + ], + "鮯": [ + "ㄍㄜ2" + ], + "鮰": [ + "ㄏㄨㄟ2" + ], + "鮱": [ + "ㄌㄠ3" + ], + "鮲": [ + "ㄈㄨ2" + ], + "鮳": [ + "ㄎㄠ4" + ], + "鮴": [ + "ㄒㄧㄡ1" + ], + "鮵": [ + "ㄉㄨㄛ2" + ], + "鮶": [ + "ㄐㄩㄣ1" + ], + "鮷": [ + "ㄊㄧ2" + ], + "鮸": [ + "ㄇㄧㄢ3" + ], + "鮹": [ + "ㄕㄠ1" + ], + "鮺": [ + "ㄓㄚ3" + ], + "鮻": [ + "ㄙㄨㄛ1" + ], + "鮼": [ + "ㄑㄧㄣ1" + ], + "鮽": [ + "ㄩ2" + ], + "鮾": [ + "ㄋㄟ3" + ], + "鮿": [ + "ㄓㄜ2" + ], + "鯀": [ + "ㄍㄨㄣ3" + ], + "鯁": [ + "ㄍㄥ3" + ], + "鯂": [ + "ㄙㄨ1" + ], + "鯃": [ + "ㄨ2" + ], + "鯄": [ + "ㄑㄧㄡ2" + ], + "鯅": [ + "ㄕㄢ1", + "ㄕㄣ3" + ], + "鯆": [ + "ㄆㄨ1", + "ㄅㄨ1" + ], + "鯇": [ + "ㄏㄨㄢ4" + ], + "鯈": [ + "ㄊㄧㄠ2", + "ㄧㄡ2", + "ㄔㄡ2" + ], + "鯉": [ + "ㄌㄧ3" + ], + "鯊": [ + "ㄕㄚ1" + ], + "鯋": [ + "ㄕㄚ1" + ], + "鯌": [ + "ㄎㄠ4" + ], + "鯍": [ + "ㄇㄥ2" + ], + "鯎": [ + "ㄔㄥ2" + ], + "鯏": [ + "ㄌㄧ2" + ], + "鯐": [ + "ㄗㄡ3" + ], + "鯑": [ + "ㄒㄧ1" + ], + "鯒": [ + "ㄩㄥ3" + ], + "鯓": [ + "ㄕㄣ1" + ], + "鯔": [ + "ㄗ1" + ], + "鯕": [ + "ㄑㄧ2" + ], + "鯖": [ + "ㄓㄥ1", + "ㄑㄧㄥ1" + ], + "鯗": [ + "ㄒㄧㄤ3" + ], + "鯘": [ + "ㄋㄟ3" + ], + "鯙": [ + "ㄔㄨㄣ2" + ], + "鯚": [ + "ㄐㄧ4" + ], + "鯛": [ + "ㄉㄧㄠ1" + ], + "鯜": [ + "ㄑㄧㄝ4" + ], + "鯝": [ + "ㄍㄨ4" + ], + "鯞": [ + "ㄓㄡ3" + ], + "鯟": [ + "ㄉㄨㄥ1" + ], + "鯠": [ + "ㄌㄞ2" + ], + "鯡": [ + "ㄈㄟ4", + "ㄈㄟ1" + ], + "鯢": [ + "ㄋㄧ2" + ], + "鯣": [ + "ㄧ4" + ], + "鯤": [ + "ㄎㄨㄣ1" + ], + "鯥": [ + "ㄌㄨ4" + ], + "鯦": [ + "ㄐㄧㄡ4", + "ㄞ3" + ], + "鯧": [ + "ㄔㄤ1" + ], + "鯨": [ + "ㄐㄧㄥ1", + "ㄑㄧㄥ2" + ], + "鯩": [ + "ㄌㄨㄣ2" + ], + "鯪": [ + "ㄌㄧㄥ2" + ], + "鯫": [ + "ㄗㄡ1" + ], + "鯬": [ + "ㄌㄧ2" + ], + "鯭": [ + "ㄇㄥ3" + ], + "鯮": [ + "ㄗㄨㄥ1" + ], + "鯯": [ + "ㄓ4" + ], + "鯰": [ + "ㄋㄧㄢ2" + ], + "鯱": [ + "ㄏㄨ3" + ], + "鯲": [ + "ㄩ2" + ], + "鯳": [ + "ㄉㄧ3" + ], + "鯴": [ + "ㄕ1" + ], + "鯵": [ + "ㄕㄣ1" + ], + "鯶": [ + "ㄏㄨㄢ4" + ], + "鯷": [ + "ㄊㄧ2" + ], + "鯸": [ + "ㄏㄡ2" + ], + "鯹": [ + "ㄒㄧㄥ1" + ], + "鯺": [ + "ㄓㄨ1" + ], + "鯻": [ + "ㄌㄚ4" + ], + "鯼": [ + "ㄗㄨㄥ1" + ], + "鯽": [ + "ㄗㄟ2", + "ㄐㄧ4" + ], + "鯾": [ + "ㄅㄧㄢ1" + ], + "鯿": [ + "ㄅㄧㄢ1" + ], + "鰀": [ + "ㄏㄨㄢ4" + ], + "鰁": [ + "ㄑㄩㄢ2" + ], + "鰂": [ + "ㄗㄟ2", + "ㄗㄜ2" + ], + "鰃": [ + "ㄨㄟ1" + ], + "鰄": [ + "ㄨㄟ1" + ], + "鰅": [ + "ㄩ2" + ], + "鰆": [ + "ㄔㄨㄣ1" + ], + "鰇": [ + "ㄖㄡ2" + ], + "鰈": [ + "ㄉㄧㄝ2", + "ㄑㄧㄝ4", + "ㄓㄚ2" + ], + "鰉": [ + "ㄏㄨㄤ2" + ], + "鰊": [ + "ㄌㄧㄢ4" + ], + "鰋": [ + "ㄧㄢ3" + ], + "鰌": [ + "ㄑㄧㄡ1" + ], + "鰍": [ + "ㄑㄧㄡ1" + ], + "鰎": [ + "ㄐㄧㄢ3" + ], + "鰏": [ + "ㄅㄧ1" + ], + "鰐": [ + "ㄜ4" + ], + "鰑": [ + "ㄧㄤ2" + ], + "鰒": [ + "ㄈㄨ4" + ], + "鰓": [ + "ㄙㄞ1", + "ㄒㄧ2" + ], + "鰔": [ + "ㄍㄢ3", + "ㄐㄧㄢ1", + "ㄒㄧㄢ2" + ], + "鰕": [ + "ㄒㄧㄚ1" + ], + "鰖": [ + "ㄊㄨㄛ3", + "ㄨㄟ3" + ], + "鰗": [ + "ㄏㄨ2" + ], + "鰘": [ + "ㄕ4" + ], + "鰙": [ + "ㄖㄨㄛ4" + ], + "鰚": [ + "ㄒㄩㄢ1" + ], + "鰛": [ + "ㄨㄣ1" + ], + "鰜": [ + "ㄑㄧㄢ4", + "ㄐㄧㄢ1" + ], + "鰝": [ + "ㄏㄠ4" + ], + "鰞": [ + "ㄨ1" + ], + "鰟": [ + "ㄈㄤ2", + "ㄆㄤ2" + ], + "鰠": [ + "ㄙㄠ1" + ], + "鰡": [ + "ㄌㄧㄡ2" + ], + "鰢": [ + "ㄇㄚ3" + ], + "鰣": [ + "ㄕ2" + ], + "鰤": [ + "ㄕ1" + ], + "鰥": [ + "ㄍㄨㄢ1", + "ㄍㄨㄢ4", + "ㄎㄨㄣ1", + "ㄍㄨㄣ3" + ], + "鰦": [ + "ㄗ1" + ], + "鰧": [ + "ㄊㄥ2" + ], + "鰨": [ + "ㄊㄚ3", + "ㄉㄧㄝ2" + ], + "鰩": [ + "ㄧㄠ2" + ], + "鰪": [ + "ㄜ2", + "ㄍㄜ2" + ], + "鰫": [ + "ㄩㄥ2" + ], + "鰬": [ + "ㄑㄧㄢ2" + ], + "鰭": [ + "ㄑㄧ2" + ], + "鰮": [ + "ㄨㄣ1" + ], + "鰯": [ + "ㄖㄨㄛ4" + ], + "鰰": [ + "ㄕㄣ2" + ], + "鰱": [ + "ㄌㄧㄢ2" + ], + "鰲": [ + "ㄠ2" + ], + "鰳": [ + "ㄌㄜ4" + ], + "鰴": [ + "ㄏㄨㄟ1" + ], + "鰵": [ + "ㄇㄧㄣ3" + ], + "鰶": [ + "ㄐㄧ4" + ], + "鰷": [ + "ㄊㄧㄠ2" + ], + "鰸": [ + "ㄑㄩ1" + ], + "鰹": [ + "ㄐㄧㄢ1" + ], + "鰺": [ + "ㄕㄣ1", + "ㄙㄠ1", + "ㄘㄢ1" + ], + "鰻": [ + "ㄇㄢ2" + ], + "鰼": [ + "ㄒㄧ2" + ], + "鰽": [ + "ㄑㄧㄡ2" + ], + "鰾": [ + "ㄅㄧㄠ4" + ], + "鰿": [ + "ㄐㄧ4" + ], + "鱀": [ + "ㄐㄧ4" + ], + "鱁": [ + "ㄓㄨ2" + ], + "鱂": [ + "ㄐㄧㄤ1" + ], + "鱃": [ + "ㄒㄧㄡ1", + "ㄑㄧㄡ1" + ], + "鱄": [ + "ㄓㄨㄢ1", + "ㄊㄨㄢ2", + "ㄌㄧㄢ4" + ], + "鱅": [ + "ㄩㄥ1", + "ㄩㄥ2" + ], + "鱆": [ + "ㄓㄤ1" + ], + "鱇": [ + "ㄎㄤ1" + ], + "鱈": [ + "ㄒㄩㄝ3" + ], + "鱉": [ + "ㄅㄧㄝ1" + ], + "鱊": [ + "ㄩ4" + ], + "鱋": [ + "ㄑㄩ1" + ], + "鱌": [ + "ㄒㄧㄤ4" + ], + "鱍": [ + "ㄅㄛ1" + ], + "鱎": [ + "ㄐㄧㄠ3" + ], + "鱏": [ + "ㄒㄩㄣ2" + ], + "鱐": [ + "ㄙㄨ4" + ], + "鱑": [ + "ㄏㄨㄤ2" + ], + "鱒": [ + "ㄗㄨㄣ1", + "ㄗㄨㄣ4" + ], + "鱓": [ + "ㄕㄢ4", + "ㄊㄨㄛ2" + ], + "鱔": [ + "ㄕㄢ4" + ], + "鱕": [ + "ㄈㄢ1" + ], + "鱖": [ + "ㄍㄨㄟ4", + "ㄐㄩㄝ2" + ], + "鱗": [ + "ㄌㄧㄣ2" + ], + "鱘": [ + "ㄒㄩㄣ2" + ], + "鱙": [ + "ㄇㄧㄠ2" + ], + "鱚": [ + "ㄒㄧ3", + "ㄒㄧ1" + ], + "鱛": [ + "ㄗㄥ1" + ], + "鱜": [ + "ㄒㄧㄤ1" + ], + "鱝": [ + "ㄈㄣ4" + ], + "鱞": [ + "ㄍㄨㄢ1" + ], + "鱟": [ + "ㄏㄡ4" + ], + "鱠": [ + "ㄎㄨㄞ4" + ], + "鱡": [ + "ㄗㄟ2" + ], + "鱢": [ + "ㄙㄠ1" + ], + "鱣": [ + "ㄓㄢ1", + "ㄕㄢ4" + ], + "鱤": [ + "ㄍㄢ3" + ], + "鱥": [ + "ㄍㄨㄟ4" + ], + "鱦": [ + "ㄧㄥ4", + "ㄕㄥ2", + "ㄇㄥ3" + ], + "鱧": [ + "ㄌㄧ3" + ], + "鱨": [ + "ㄔㄤ2" + ], + "鱩": [ + "ㄌㄟ2" + ], + "鱪": [ + "ㄕㄨ3" + ], + "鱫": [ + "ㄞ4" + ], + "鱬": [ + "ㄖㄨ2" + ], + "鱭": [ + "ㄐㄧ4" + ], + "鱮": [ + "ㄒㄩ4", + "ㄩ2" + ], + "鱯": [ + "ㄏㄨ4" + ], + "鱰": [ + "ㄕㄨ3" + ], + "鱱": [ + "ㄌㄧ4" + ], + "鱲": [ + "ㄌㄧㄝ4", + "ㄌㄚ4" + ], + "鱳": [ + "ㄌㄧ4", + "ㄌㄨ4", + "ㄌㄨㄛ4" + ], + "鱴": [ + "ㄇㄧㄝ4" + ], + "鱵": [ + "ㄓㄣ1" + ], + "鱶": [ + "ㄒㄧㄤ3" + ], + "鱷": [ + "ㄜ4" + ], + "鱸": [ + "ㄌㄨ2" + ], + "鱹": [ + "ㄍㄨㄢ4" + ], + "鱺": [ + "ㄌㄧ2", + "ㄌㄧ3" + ], + "鱻": [ + "ㄒㄧㄢ1", + "ㄒㄧㄢ3" + ], + "鱼": [ + "ㄩ2" + ], + "鱽": [ + "ㄉㄠ1" + ], + "鱾": [ + "ㄐㄧ3" + ], + "鱿": [ + "ㄧㄡ2" + ], + "鲀": [ + "ㄊㄨㄣ2" + ], + "鲁": [ + "ㄌㄨ3" + ], + "鲂": [ + "ㄈㄤ2" + ], + "鲃": [ + "ㄅㄚ1" + ], + "鲄": [ + "ㄏㄜ2" + ], + "鲅": [ + "ㄅㄚ4", + "ㄅㄛ1" + ], + "鲆": [ + "ㄆㄧㄥ2" + ], + "鲇": [ + "ㄋㄧㄢ2" + ], + "鲈": [ + "ㄌㄨ2" + ], + "鲉": [ + "ㄧㄡ2" + ], + "鲊": [ + "ㄓㄚ3" + ], + "鲋": [ + "ㄈㄨ4" + ], + "鲌": [ + "ㄅㄚ4", + "ㄅㄛ2" + ], + "鲍": [ + "ㄅㄠ4" + ], + "鲎": [ + "ㄏㄡ4" + ], + "鲏": [ + "ㄆㄧ2" + ], + "鲐": [ + "ㄊㄞ2" + ], + "鲑": [ + "ㄍㄨㄟ1", + "ㄒㄧㄝ2" + ], + "鲒": [ + "ㄐㄧㄝ2" + ], + "鲓": [ + "ㄎㄠ4" + ], + "鲔": [ + "ㄨㄟ3" + ], + "鲕": [ + "ㄦ2" + ], + "鲖": [ + "ㄊㄨㄥ2" + ], + "鲗": [ + "ㄗㄟ2" + ], + "鲘": [ + "ㄏㄡ4" + ], + "鲙": [ + "ㄎㄨㄞ4" + ], + "鲚": [ + "ㄐㄧ4" + ], + "鲛": [ + "ㄐㄧㄠ1" + ], + "鲜": [ + "ㄒㄧㄢ1", + "ㄒㄧㄢ3" + ], + "鲝": [ + "ㄓㄚ3" + ], + "鲞": [ + "ㄒㄧㄤ3" + ], + "鲟": [ + "ㄒㄩㄣ2" + ], + "鲠": [ + "ㄍㄥ3" + ], + "鲡": [ + "ㄌㄧ2" + ], + "鲢": [ + "ㄌㄧㄢ2" + ], + "鲣": [ + "ㄐㄧㄢ1" + ], + "鲤": [ + "ㄌㄧ3" + ], + "鲥": [ + "ㄕ2" + ], + "鲦": [ + "ㄊㄧㄠ2" + ], + "鲧": [ + "ㄍㄨㄣ3" + ], + "鲨": [ + "ㄕㄚ1" + ], + "鲩": [ + "ㄏㄨㄢ4" + ], + "鲪": [ + "ㄐㄩㄣ1" + ], + "鲫": [ + "ㄐㄧ4" + ], + "鲬": [ + "ㄩㄥ3" + ], + "鲭": [ + "ㄑㄧㄥ1", + "ㄓㄥ1" + ], + "鲮": [ + "ㄌㄧㄥ2" + ], + "鲯": [ + "ㄑㄧ2" + ], + "鲰": [ + "ㄗㄡ1" + ], + "鲱": [ + "ㄈㄟ1" + ], + "鲲": [ + "ㄎㄨㄣ1" + ], + "鲳": [ + "ㄔㄤ1" + ], + "鲴": [ + "ㄍㄨ4" + ], + "鲵": [ + "ㄋㄧ2" + ], + "鲶": [ + "ㄋㄧㄢ2" + ], + "鲷": [ + "ㄉㄧㄠ1" + ], + "鲸": [ + "ㄐㄧㄥ1" + ], + "鲹": [ + "ㄕㄣ1" + ], + "鲺": [ + "ㄕ1" + ], + "鲻": [ + "ㄗ1" + ], + "鲼": [ + "ㄈㄣ4" + ], + "鲽": [ + "ㄉㄧㄝ2" + ], + "鲾": [ + "ㄅㄧ1" + ], + "鲿": [ + "ㄔㄤ2" + ], + "鳀": [ + "ㄊㄧ2" + ], + "鳁": [ + "ㄨㄣ1" + ], + "鳂": [ + "ㄨㄟ1" + ], + "鳃": [ + "ㄙㄞ1" + ], + "鳄": [ + "ㄜ4" + ], + "鳅": [ + "ㄑㄧㄡ1" + ], + "鳆": [ + "ㄈㄨ4" + ], + "鳇": [ + "ㄏㄨㄤ2" + ], + "鳈": [ + "ㄑㄩㄢ2" + ], + "鳉": [ + "ㄐㄧㄤ1" + ], + "鳊": [ + "ㄅㄧㄢ1" + ], + "鳋": [ + "ㄙㄠ1" + ], + "鳌": [ + "ㄠ2" + ], + "鳍": [ + "ㄑㄧ2" + ], + "鳎": [ + "ㄊㄚ3" + ], + "鳏": [ + "ㄍㄨㄢ1" + ], + "鳐": [ + "ㄧㄠ2" + ], + "鳑": [ + "ㄆㄤ2" + ], + "鳒": [ + "ㄐㄧㄢ1" + ], + "鳓": [ + "ㄌㄜ4" + ], + "鳔": [ + "ㄅㄧㄠ4" + ], + "鳕": [ + "ㄒㄩㄝ3" + ], + "鳖": [ + "ㄅㄧㄝ1" + ], + "鳗": [ + "ㄇㄢ2" + ], + "鳘": [ + "ㄇㄧㄣ3" + ], + "鳙": [ + "ㄩㄥ1" + ], + "鳚": [ + "ㄨㄟ4" + ], + "鳛": [ + "ㄒㄧ2" + ], + "鳜": [ + "ㄍㄨㄟ4" + ], + "鳝": [ + "ㄕㄢ4" + ], + "鳞": [ + "ㄌㄧㄣ2" + ], + "鳟": [ + "ㄗㄨㄣ1" + ], + "鳠": [ + "ㄏㄨ4" + ], + "鳡": [ + "ㄍㄢ3" + ], + "鳢": [ + "ㄌㄧ3" + ], + "鳣": [ + "ㄓㄢ1" + ], + "鳤": [ + "ㄍㄨㄢ3" + ], + "鳥": [ + "ㄋㄧㄠ3", + "ㄉㄧㄠ3", + "ㄉㄠ3", + "ㄑㄩㄝ4" + ], + "鳦": [ + "ㄧ3" + ], + "鳧": [ + "ㄈㄨ2" + ], + "鳨": [ + "ㄌㄧ4" + ], + "鳩": [ + "ㄐㄧㄡ1", + "ㄑㄧㄡ2", + "ㄓ4" + ], + "鳪": [ + "ㄅㄨ2" + ], + "鳫": [ + "ㄧㄢ4" + ], + "鳬": [ + "ㄈㄨ3" + ], + "鳭": [ + "ㄉㄧㄠ1", + "ㄓㄠ1" + ], + "鳮": [ + "ㄐㄧ1" + ], + "鳯": [ + "ㄈㄥ4" + ], + "鳰": [ + "ㄖㄨ4" + ], + "鳱": [ + "ㄍㄢ1", + "ㄏㄢ4", + "ㄧㄢ4" + ], + "鳲": [ + "ㄕ1" + ], + "鳳": [ + "ㄈㄥ4" + ], + "鳴": [ + "ㄇㄧㄥ2" + ], + "鳵": [ + "ㄅㄠ3" + ], + "鳶": [ + "ㄩㄢ1" + ], + "鳷": [ + "ㄓ1", + "ㄔ4" + ], + "鳸": [ + "ㄏㄨ4" + ], + "鳹": [ + "ㄑㄧㄣ2" + ], + "鳺": [ + "ㄈㄨ1", + "ㄍㄨㄟ1" + ], + "鳻": [ + "ㄅㄢ1", + "ㄈㄣ2" + ], + "鳼": [ + "ㄨㄣ2" + ], + "鳽": [ + "ㄐㄧㄢ1", + "ㄑㄧㄢ1", + "ㄓㄢ1" + ], + "鳾": [ + "ㄕ1" + ], + "鳿": [ + "ㄩ4" + ], + "鴀": [ + "ㄈㄡ3" + ], + "鴁": [ + "ㄧㄠ1", + "ㄠ3" + ], + "鴂": [ + "ㄐㄩㄝ2", + "ㄍㄨㄟ1" + ], + "鴃": [ + "ㄐㄩㄝ2" + ], + "鴄": [ + "ㄆㄧ3" + ], + "鴅": [ + "ㄏㄨㄢ1" + ], + "鴆": [ + "ㄓㄣ4" + ], + "鴇": [ + "ㄅㄠ3" + ], + "鴈": [ + "ㄧㄢ4" + ], + "鴉": [ + "ㄧㄚ1", + "ㄧㄚ3" + ], + "鴊": [ + "ㄓㄥ4" + ], + "鴋": [ + "ㄈㄤ1", + "ㄈㄤ3" + ], + "鴌": [ + "ㄈㄥ4" + ], + "鴍": [ + "ㄨㄣ2" + ], + "鴎": [ + "ㄡ1" + ], + "鴏": [ + "ㄉㄞ4" + ], + "鴐": [ + "ㄍㄜ1" + ], + "鴑": [ + "ㄖㄨ2" + ], + "鴒": [ + "ㄌㄧㄥ2" + ], + "鴓": [ + "ㄇㄧㄝ4", + "ㄅㄧ4" + ], + "鴔": [ + "ㄈㄨ2" + ], + "鴕": [ + "ㄊㄨㄛ2" + ], + "鴖": [ + "ㄇㄧㄣ2", + "ㄨㄣ2" + ], + "鴗": [ + "ㄌㄧ4" + ], + "鴘": [ + "ㄅㄧㄢ3" + ], + "鴙": [ + "ㄓ4" + ], + "鴚": [ + "ㄍㄜ1" + ], + "鴛": [ + "ㄩㄢ1" + ], + "鴜": [ + "ㄘ2" + ], + "鴝": [ + "ㄑㄩ2", + "ㄍㄡ1", + "ㄍㄡ4" + ], + "鴞": [ + "ㄒㄧㄠ1" + ], + "鴟": [ + "ㄔ1" + ], + "鴠": [ + "ㄉㄢ4" + ], + "鴡": [ + "ㄐㄩ1" + ], + "鴢": [ + "ㄧㄠ3", + "ㄠ1" + ], + "鴣": [ + "ㄍㄨ1" + ], + "鴤": [ + "ㄓㄨㄥ1" + ], + "鴥": [ + "ㄩ4" + ], + "鴦": [ + "ㄧㄤ1" + ], + "鴧": [ + "ㄩ4" + ], + "鴨": [ + "ㄧㄚ1" + ], + "鴩": [ + "ㄊㄧㄝ3", + "ㄏㄨ2" + ], + "鴪": [ + "ㄩ4" + ], + "鴫": [ + "ㄊㄧㄢ2" + ], + "鴬": [ + "ㄧㄥ1" + ], + "鴭": [ + "ㄉㄨㄟ1" + ], + "鴮": [ + "ㄨ1" + ], + "鴯": [ + "ㄦ2" + ], + "鴰": [ + "ㄍㄨㄚ1" + ], + "鴱": [ + "ㄞ4" + ], + "鴲": [ + "ㄓ1" + ], + "鴳": [ + "ㄧㄢ4", + "ㄢ1", + "ㄜ4" + ], + "鴴": [ + "ㄏㄥ2" + ], + "鴵": [ + "ㄒㄧㄠ1" + ], + "鴶": [ + "ㄐㄧㄚ2" + ], + "鴷": [ + "ㄌㄧㄝ4" + ], + "鴸": [ + "ㄓㄨ1" + ], + "鴹": [ + "ㄧㄤ2", + "ㄒㄧㄤ2" + ], + "鴺": [ + "ㄊㄧ2", + "ㄧ2" + ], + "鴻": [ + "ㄏㄨㄥ2", + "ㄏㄨㄥ4" + ], + "鴼": [ + "ㄌㄨㄛ4" + ], + "鴽": [ + "ㄖㄨ2" + ], + "鴾": [ + "ㄇㄡ2" + ], + "鴿": [ + "ㄍㄜ1" + ], + "鵀": [ + "ㄖㄣ2" + ], + "鵁": [ + "ㄐㄧㄠ1", + "ㄒㄧㄠ1" + ], + "鵂": [ + "ㄒㄧㄡ1" + ], + "鵃": [ + "ㄓㄡ1", + "ㄉㄧㄠ3" + ], + "鵄": [ + "ㄔ1" + ], + "鵅": [ + "ㄌㄨㄛ4", + "ㄍㄜ2" + ], + "鵆": [ + "ㄏㄥ2" + ], + "鵇": [ + "ㄋㄧㄢ2" + ], + "鵈": [ + "ㄜ3" + ], + "鵉": [ + "ㄌㄨㄢ2" + ], + "鵊": [ + "ㄐㄧㄚ2" + ], + "鵋": [ + "ㄐㄧ4" + ], + "鵌": [ + "ㄊㄨ2" + ], + "鵍": [ + "ㄏㄨㄢ1", + "ㄐㄩㄢ1", + "ㄍㄨㄢ4" + ], + "鵎": [ + "ㄊㄨㄛ3" + ], + "鵏": [ + "ㄅㄨ3", + "ㄅㄨ1", + "ㄆㄨ1", + "ㄆㄨ2" + ], + "鵐": [ + "ㄨ2" + ], + "鵑": [ + "ㄐㄩㄢ1" + ], + "鵒": [ + "ㄩ4" + ], + "鵓": [ + "ㄅㄛ2" + ], + "鵔": [ + "ㄐㄩㄣ4" + ], + "鵕": [ + "ㄐㄩㄣ4" + ], + "鵖": [ + "ㄅㄧ1" + ], + "鵗": [ + "ㄒㄧ1" + ], + "鵘": [ + "ㄐㄩㄣ4" + ], + "鵙": [ + "ㄐㄩ2" + ], + "鵚": [ + "ㄊㄨ1" + ], + "鵛": [ + "ㄐㄧㄥ1" + ], + "鵜": [ + "ㄊㄧ2", + "ㄊㄧ1" + ], + "鵝": [ + "ㄜ2" + ], + "鵞": [ + "ㄜ2" + ], + "鵟": [ + "ㄎㄨㄤ2" + ], + "鵠": [ + "ㄏㄨ2", + "ㄍㄨ3", + "ㄏㄜ4" + ], + "鵡": [ + "ㄨ3" + ], + "鵢": [ + "ㄕㄣ1" + ], + "鵣": [ + "ㄌㄞ4", + "ㄔ4" + ], + "鵤": [ + "ㄐㄧㄠ5" + ], + "鵥": [ + "ㄆㄢ4" + ], + "鵦": [ + "ㄌㄨ4" + ], + "鵧": [ + "ㄆㄧ2" + ], + "鵨": [ + "ㄕㄨ1" + ], + "鵩": [ + "ㄈㄨ2" + ], + "鵪": [ + "ㄢ1", + "ㄧㄚ1" + ], + "鵫": [ + "ㄓㄨㄛ2" + ], + "鵬": [ + "ㄆㄥ2", + "ㄈㄥ4" + ], + "鵭": [ + "ㄑㄧㄣ2" + ], + "鵮": [ + "ㄑㄧㄢ1" + ], + "鵯": [ + "ㄅㄟ1" + ], + "鵰": [ + "ㄉㄧㄠ1" + ], + "鵱": [ + "ㄌㄨ4" + ], + "鵲": [ + "ㄑㄩㄝ4" + ], + "鵳": [ + "ㄐㄧㄢ1" + ], + "鵴": [ + "ㄐㄩ2" + ], + "鵵": [ + "ㄊㄨ4" + ], + "鵶": [ + "ㄧㄚ1" + ], + "鵷": [ + "ㄩㄢ1" + ], + "鵸": [ + "ㄑㄧ2" + ], + "鵹": [ + "ㄌㄧ2" + ], + "鵺": [ + "ㄧㄝ4" + ], + "鵻": [ + "ㄓㄨㄟ1" + ], + "鵼": [ + "ㄎㄨㄥ1" + ], + "鵽": [ + "ㄉㄨㄛ4" + ], + "鵾": [ + "ㄎㄨㄣ1" + ], + "鵿": [ + "ㄕㄥ1" + ], + "鶀": [ + "ㄑㄧ2" + ], + "鶁": [ + "ㄐㄧㄥ1" + ], + "鶂": [ + "ㄧ4" + ], + "鶃": [ + "ㄧ4" + ], + "鶄": [ + "ㄐㄧㄥ1", + "ㄑㄧㄥ1" + ], + "鶅": [ + "ㄗ1" + ], + "鶆": [ + "ㄌㄞ2" + ], + "鶇": [ + "ㄉㄨㄥ1" + ], + "鶈": [ + "ㄑㄧ1" + ], + "鶉": [ + "ㄔㄨㄣ2", + "ㄊㄨㄢ2" + ], + "鶊": [ + "ㄍㄥ1" + ], + "鶋": [ + "ㄐㄩ1" + ], + "鶌": [ + "ㄐㄩㄝ2", + "ㄑㄩ1" + ], + "鶍": [ + "ㄧ4" + ], + "鶎": [ + "ㄗㄨㄣ1" + ], + "鶏": [ + "ㄐㄧ1" + ], + "鶐": [ + "ㄕㄨ4" + ], + "鶑": [ + "ㄧㄥ1" + ], + "鶒": [ + "ㄔ4" + ], + "鶓": [ + "ㄇㄧㄠ2" + ], + "鶔": [ + "ㄖㄡ2" + ], + "鶕": [ + "ㄢ1" + ], + "鶖": [ + "ㄑㄧㄡ1" + ], + "鶗": [ + "ㄊㄧ2", + "ㄔ2" + ], + "鶘": [ + "ㄏㄨ2" + ], + "鶙": [ + "ㄊㄧ2" + ], + "鶚": [ + "ㄜ4" + ], + "鶛": [ + "ㄐㄧㄝ1", + "ㄐㄧㄝ4" + ], + "鶜": [ + "ㄇㄠ2" + ], + "鶝": [ + "ㄈㄨ2", + "ㄅㄧ4" + ], + "鶞": [ + "ㄔㄨㄣ1" + ], + "鶟": [ + "ㄊㄨ2" + ], + "鶠": [ + "ㄧㄢ3" + ], + "鶡": [ + "ㄏㄜ2", + "ㄏㄜ4" + ], + "鶢": [ + "ㄩㄢ2" + ], + "鶣": [ + "ㄆㄧㄢ1", + "ㄅㄧㄢ3" + ], + "鶤": [ + "ㄎㄨㄣ1" + ], + "鶥": [ + "ㄇㄟ2" + ], + "鶦": [ + "ㄏㄨ2" + ], + "鶧": [ + "ㄧㄥ1" + ], + "鶨": [ + "ㄔㄨㄢ4", + "ㄓ4" + ], + "鶩": [ + "ㄨ4", + "ㄇㄨ4" + ], + "鶪": [ + "ㄐㄩ2" + ], + "鶫": [ + "ㄉㄨㄥ1" + ], + "鶬": [ + "ㄘㄤ1", + "ㄑㄧㄤ1" + ], + "鶭": [ + "ㄈㄤ3" + ], + "鶮": [ + "ㄏㄜ4", + "ㄏㄨ2" + ], + "鶯": [ + "ㄧㄥ1" + ], + "鶰": [ + "ㄩㄢ2" + ], + "鶱": [ + "ㄒㄧㄢ1" + ], + "鶲": [ + "ㄨㄥ1" + ], + "鶳": [ + "ㄕ1" + ], + "鶴": [ + "ㄏㄜ4" + ], + "鶵": [ + "ㄔㄨ2" + ], + "鶶": [ + "ㄊㄤ2" + ], + "鶷": [ + "ㄒㄧㄚ2" + ], + "鶸": [ + "ㄖㄨㄛ4" + ], + "鶹": [ + "ㄌㄧㄡ2" + ], + "鶺": [ + "ㄐㄧ2" + ], + "鶻": [ + "ㄍㄨ2", + "ㄏㄨ2" + ], + "鶼": [ + "ㄐㄧㄢ1", + "ㄑㄧㄢ1" + ], + "鶽": [ + "ㄙㄨㄣ3", + "ㄒㄩㄣ4" + ], + "鶾": [ + "ㄏㄢ4" + ], + "鶿": [ + "ㄘ2" + ], + "鷀": [ + "ㄘ2" + ], + "鷁": [ + "ㄧ4" + ], + "鷂": [ + "ㄧㄠ4", + "ㄧㄠ2" + ], + "鷃": [ + "ㄧㄢ4" + ], + "鷄": [ + "ㄐㄧ1" + ], + "鷅": [ + "ㄌㄧ4" + ], + "鷆": [ + "ㄊㄧㄢ2" + ], + "鷇": [ + "ㄎㄡ4" + ], + "鷈": [ + "ㄊㄧ1" + ], + "鷉": [ + "ㄊㄧ1", + "ㄙ1" + ], + "鷊": [ + "ㄧ4" + ], + "鷋": [ + "ㄊㄨ2" + ], + "鷌": [ + "ㄇㄚ3" + ], + "鷍": [ + "ㄒㄧㄠ1" + ], + "鷎": [ + "ㄍㄠ1" + ], + "鷏": [ + "ㄊㄧㄢ2" + ], + "鷐": [ + "ㄔㄣ2" + ], + "鷑": [ + "ㄐㄧ2" + ], + "鷒": [ + "ㄊㄨㄢ2" + ], + "鷓": [ + "ㄓㄜ4" + ], + "鷔": [ + "ㄠ2", + "ㄠ4" + ], + "鷕": [ + "ㄧㄠ3", + "ㄒㄧㄠ4" + ], + "鷖": [ + "ㄧ1", + "ㄧ4" + ], + "鷗": [ + "ㄡ1" + ], + "鷘": [ + "ㄔ4" + ], + "鷙": [ + "ㄓ4", + "ㄓㄜ2" + ], + "鷚": [ + "ㄌㄧㄡ4" + ], + "鷛": [ + "ㄩㄥ1" + ], + "鷜": [ + "ㄌㄩ2", + "ㄌㄩ3" + ], + "鷝": [ + "ㄅㄧ4" + ], + "鷞": [ + "ㄕㄨㄤ1", + "ㄕㄨㄤ3" + ], + "鷟": [ + "ㄓㄨㄛ2" + ], + "鷠": [ + "ㄩ2" + ], + "鷡": [ + "ㄨ2" + ], + "鷢": [ + "ㄐㄩㄝ2" + ], + "鷣": [ + "ㄧㄣ2" + ], + "鷤": [ + "ㄊㄧ2", + "ㄊㄢ2" + ], + "鷥": [ + "ㄙ1" + ], + "鷦": [ + "ㄐㄧㄠ1" + ], + "鷧": [ + "ㄧ4" + ], + "鷨": [ + "ㄏㄨㄚ2" + ], + "鷩": [ + "ㄅㄧ4" + ], + "鷪": [ + "ㄧㄥ1" + ], + "鷫": [ + "ㄙㄨ4" + ], + "鷬": [ + "ㄏㄨㄤ2" + ], + "鷭": [ + "ㄈㄢ2" + ], + "鷮": [ + "ㄐㄧㄠ1" + ], + "鷯": [ + "ㄌㄧㄠ2" + ], + "鷰": [ + "ㄧㄢ4" + ], + "鷱": [ + "ㄍㄠ1" + ], + "鷲": [ + "ㄐㄧㄡ4" + ], + "鷳": [ + "ㄒㄧㄢ2" + ], + "鷴": [ + "ㄒㄧㄢ2" + ], + "鷵": [ + "ㄊㄨ2" + ], + "鷶": [ + "ㄇㄞ3" + ], + "鷷": [ + "ㄗㄨㄣ1" + ], + "鷸": [ + "ㄩ4", + "ㄕㄨ4" + ], + "鷹": [ + "ㄧㄥ1" + ], + "鷺": [ + "ㄌㄨ4" + ], + "鷻": [ + "ㄊㄨㄢ2" + ], + "鷼": [ + "ㄒㄧㄢ2" + ], + "鷽": [ + "ㄒㄩㄝ2" + ], + "鷾": [ + "ㄧ4" + ], + "鷿": [ + "ㄆㄧ4" + ], + "鸀": [ + "ㄔㄨ3", + "ㄓㄨ2", + "ㄔㄨ4" + ], + "鸁": [ + "ㄌㄨㄛ2" + ], + "鸂": [ + "ㄒㄧ1", + "ㄑㄧ1" + ], + "鸃": [ + "ㄧ2" + ], + "鸄": [ + "ㄐㄧ1" + ], + "鸅": [ + "ㄗㄜ2" + ], + "鸆": [ + "ㄩ2" + ], + "鸇": [ + "ㄓㄢ1" + ], + "鸈": [ + "ㄧㄝ4" + ], + "鸉": [ + "ㄧㄤ2" + ], + "鸊": [ + "ㄆㄧ4", + "ㄅㄧ4" + ], + "鸋": [ + "ㄋㄧㄥ2" + ], + "鸌": [ + "ㄏㄨ4" + ], + "鸍": [ + "ㄇㄧ2" + ], + "鸎": [ + "ㄧㄥ1" + ], + "鸏": [ + "ㄇㄥ2", + "ㄇㄤ2" + ], + "鸐": [ + "ㄉㄧ2" + ], + "鸑": [ + "ㄩㄝ4" + ], + "鸒": [ + "ㄩ4" + ], + "鸓": [ + "ㄌㄟ3" + ], + "鸔": [ + "ㄅㄨ3" + ], + "鸕": [ + "ㄌㄨ2" + ], + "鸖": [ + "ㄏㄜ4" + ], + "鸗": [ + "ㄌㄨㄥ2" + ], + "鸘": [ + "ㄕㄨㄤ1" + ], + "鸙": [ + "ㄩㄝ4" + ], + "鸚": [ + "ㄧㄥ1" + ], + "鸛": [ + "ㄍㄨㄢ4", + "ㄏㄨㄢ1", + "ㄑㄩㄢ2" + ], + "鸜": [ + "ㄑㄩ2" + ], + "鸝": [ + "ㄌㄧ2" + ], + "鸞": [ + "ㄌㄨㄢ2" + ], + "鸟": [ + "ㄋㄧㄠ3", + "ㄉㄧㄠ3" + ], + "鸠": [ + "ㄐㄧㄡ1" + ], + "鸡": [ + "ㄐㄧ1" + ], + "鸢": [ + "ㄩㄢ1" + ], + "鸣": [ + "ㄇㄧㄥ2" + ], + "鸤": [ + "ㄕ1" + ], + "鸥": [ + "ㄡ1" + ], + "鸦": [ + "ㄧㄚ1" + ], + "鸧": [ + "ㄘㄤ1" + ], + "鸨": [ + "ㄅㄠ3" + ], + "鸩": [ + "ㄓㄣ4" + ], + "鸪": [ + "ㄍㄨ1" + ], + "鸫": [ + "ㄉㄨㄥ1" + ], + "鸬": [ + "ㄌㄨ2" + ], + "鸭": [ + "ㄧㄚ1" + ], + "鸮": [ + "ㄒㄧㄠ1" + ], + "鸯": [ + "ㄧㄤ1" + ], + "鸰": [ + "ㄌㄧㄥ2" + ], + "鸱": [ + "ㄔ1" + ], + "鸲": [ + "ㄑㄩ2" + ], + "鸳": [ + "ㄩㄢ1" + ], + "鸴": [ + "ㄒㄩㄝ2" + ], + "鸵": [ + "ㄊㄨㄛ2" + ], + "鸶": [ + "ㄙ1" + ], + "鸷": [ + "ㄓ4" + ], + "鸸": [ + "ㄦ2" + ], + "鸹": [ + "ㄍㄨㄚ1" + ], + "鸺": [ + "ㄒㄧㄡ1" + ], + "鸻": [ + "ㄏㄥ2" + ], + "鸼": [ + "ㄓㄡ1" + ], + "鸽": [ + "ㄍㄜ1" + ], + "鸾": [ + "ㄌㄨㄢ2" + ], + "鸿": [ + "ㄏㄨㄥ2" + ], + "鹀": [ + "ㄨ2" + ], + "鹁": [ + "ㄅㄛ2" + ], + "鹂": [ + "ㄌㄧ2" + ], + "鹃": [ + "ㄐㄩㄢ1" + ], + "鹄": [ + "ㄍㄨ3", + "ㄏㄨ2" + ], + "鹅": [ + "ㄜ2" + ], + "鹆": [ + "ㄩ4" + ], + "鹇": [ + "ㄒㄧㄢ2" + ], + "鹈": [ + "ㄊㄧ2" + ], + "鹉": [ + "ㄨ3" + ], + "鹊": [ + "ㄑㄩㄝ4" + ], + "鹋": [ + "ㄇㄧㄠ2" + ], + "鹌": [ + "ㄢ1" + ], + "鹍": [ + "ㄎㄨㄣ1" + ], + "鹎": [ + "ㄅㄟ1" + ], + "鹏": [ + "ㄆㄥ2" + ], + "鹐": [ + "ㄑㄧㄢ1" + ], + "鹑": [ + "ㄔㄨㄣ2" + ], + "鹒": [ + "ㄍㄥ1" + ], + "鹓": [ + "ㄩㄢ1" + ], + "鹔": [ + "ㄙㄨ4" + ], + "鹕": [ + "ㄏㄨ2" + ], + "鹖": [ + "ㄏㄜ2" + ], + "鹗": [ + "ㄜ4" + ], + "鹘": [ + "ㄍㄨ3", + "ㄏㄨ2" + ], + "鹙": [ + "ㄑㄧㄡ1" + ], + "鹚": [ + "ㄘ2" + ], + "鹛": [ + "ㄇㄟ2" + ], + "鹜": [ + "ㄨ4" + ], + "鹝": [ + "ㄧ4" + ], + "鹞": [ + "ㄧㄠ4" + ], + "鹟": [ + "ㄨㄥ1" + ], + "鹠": [ + "ㄌㄧㄡ2" + ], + "鹡": [ + "ㄐㄧ2" + ], + "鹢": [ + "ㄧ4" + ], + "鹣": [ + "ㄐㄧㄢ1" + ], + "鹤": [ + "ㄏㄜ4" + ], + "鹥": [ + "ㄧ1" + ], + "鹦": [ + "ㄧㄥ1" + ], + "鹧": [ + "ㄓㄜ4" + ], + "鹨": [ + "ㄌㄧㄡ4" + ], + "鹩": [ + "ㄌㄧㄠ2" + ], + "鹪": [ + "ㄐㄧㄠ1" + ], + "鹫": [ + "ㄐㄧㄡ4" + ], + "鹬": [ + "ㄩ4" + ], + "鹭": [ + "ㄌㄨ4" + ], + "鹮": [ + "ㄏㄨㄢ2" + ], + "鹯": [ + "ㄓㄢ1" + ], + "鹰": [ + "ㄧㄥ1" + ], + "鹱": [ + "ㄏㄨ4" + ], + "鹲": [ + "ㄇㄥ2" + ], + "鹳": [ + "ㄍㄨㄢ4" + ], + "鹴": [ + "ㄕㄨㄤ1" + ], + "鹵": [ + "ㄌㄨ3", + "ㄌㄨ2" + ], + "鹶": [ + "ㄐㄧㄣ1" + ], + "鹷": [ + "ㄌㄧㄥ2" + ], + "鹸": [ + "ㄐㄧㄢ3" + ], + "鹹": [ + "ㄒㄧㄢ2", + "ㄐㄧㄢ3" + ], + "鹺": [ + "ㄘㄨㄛ2" + ], + "鹻": [ + "ㄐㄧㄢ3" + ], + "鹼": [ + "ㄐㄧㄢ3" + ], + "鹽": [ + "ㄧㄢ2", + "ㄧㄢ4" + ], + "鹾": [ + "ㄘㄨㄛ2" + ], + "鹿": [ + "ㄌㄨ4", + "ㄌㄩ2" + ], + "麀": [ + "ㄧㄡ1" + ], + "麁": [ + "ㄘㄨ1" + ], + "麂": [ + "ㄐㄧ3" + ], + "麃": [ + "ㄆㄠ2", + "ㄅㄧㄠ1", + "ㄆㄧㄠ3" + ], + "麄": [ + "ㄘㄨ1" + ], + "麅": [ + "ㄆㄠ2" + ], + "麆": [ + "ㄓㄨ4", + "ㄘㄨ1" + ], + "麇": [ + "ㄐㄩㄣ1", + "ㄑㄩㄣ2" + ], + "麈": [ + "ㄓㄨ3" + ], + "麉": [ + "ㄐㄧㄢ1" + ], + "麊": [ + "ㄇㄧ2" + ], + "麋": [ + "ㄇㄧ2" + ], + "麌": [ + "ㄩ3" + ], + "麍": [ + "ㄌㄧㄡ2" + ], + "麎": [ + "ㄔㄣ2" + ], + "麏": [ + "ㄐㄩㄣ1" + ], + "麐": [ + "ㄌㄧㄣ2" + ], + "麑": [ + "ㄋㄧ2" + ], + "麒": [ + "ㄑㄧ2" + ], + "麓": [ + "ㄌㄨ4" + ], + "麔": [ + "ㄐㄧㄡ4" + ], + "麕": [ + "ㄐㄩㄣ1", + "ㄑㄩㄣ2" + ], + "麖": [ + "ㄐㄧㄥ1" + ], + "麗": [ + "ㄌㄧ4", + "ㄌㄧ2", + "ㄌㄧ3", + "ㄙ1" + ], + "麘": [ + "ㄒㄧㄤ1" + ], + "麙": [ + "ㄒㄧㄢ2", + "ㄧㄢ2" + ], + "麚": [ + "ㄐㄧㄚ1" + ], + "麛": [ + "ㄇㄧ2" + ], + "麜": [ + "ㄌㄧ4" + ], + "麝": [ + "ㄕㄜ4" + ], + "麞": [ + "ㄓㄤ1" + ], + "麟": [ + "ㄌㄧㄣ2" + ], + "麠": [ + "ㄐㄧㄥ1" + ], + "麡": [ + "ㄑㄧ2" + ], + "麢": [ + "ㄌㄧㄥ2" + ], + "麣": [ + "ㄧㄢ2" + ], + "麤": [ + "ㄘㄨ1" + ], + "麥": [ + "ㄇㄞ4" + ], + "麦": [ + "ㄇㄞ4" + ], + "麧": [ + "ㄏㄜ2" + ], + "麨": [ + "ㄔㄠ3" + ], + "麩": [ + "ㄈㄨ1" + ], + "麪": [ + "ㄇㄧㄢ4" + ], + "麫": [ + "ㄇㄧㄢ4" + ], + "麬": [ + "ㄈㄨ1" + ], + "麭": [ + "ㄆㄠ4" + ], + "麮": [ + "ㄑㄩ4" + ], + "麯": [ + "ㄑㄩ1" + ], + "麰": [ + "ㄇㄡ2" + ], + "麱": [ + "ㄈㄨ1" + ], + "麲": [ + "ㄒㄧㄢ4", + "ㄧㄢ4" + ], + "麳": [ + "ㄌㄞ2" + ], + "麴": [ + "ㄑㄩ1" + ], + "麵": [ + "ㄇㄧㄢ4" + ], + "麶": [ + "ㄔ5" + ], + "麷": [ + "ㄈㄥ1" + ], + "麸": [ + "ㄈㄨ1" + ], + "麹": [ + "ㄑㄩ1" + ], + "麺": [ + "ㄇㄧㄢ4" + ], + "麻": [ + "ㄇㄚ2", + "ㄇㄚ1" + ], + "麼": [ + "ㄇㄜ5" + ], + "麽": [ + "ㄇㄛ2", + "ㄇㄚ2", + "ㄇㄚ5", + "ㄇㄜ5" + ], + "麾": [ + "ㄏㄨㄟ1" + ], + "麿": [ + "ㄇㄧ2" + ], + "黀": [ + "ㄗㄡ1" + ], + "黁": [ + "ㄋㄨㄣ2" + ], + "黂": [ + "ㄈㄣ2" + ], + "黃": [ + "ㄏㄨㄤ2" + ], + "黄": [ + "ㄏㄨㄤ2" + ], + "黅": [ + "ㄐㄧㄣ1" + ], + "黆": [ + "ㄍㄨㄤ1" + ], + "黇": [ + "ㄊㄧㄢ1" + ], + "黈": [ + "ㄊㄡ3" + ], + "黉": [ + "ㄏㄨㄥ2" + ], + "黊": [ + "ㄏㄨㄚ4" + ], + "黋": [ + "ㄎㄨㄤ4" + ], + "黌": [ + "ㄏㄨㄥ2" + ], + "黍": [ + "ㄕㄨ3" + ], + "黎": [ + "ㄌㄧ2" + ], + "黏": [ + "ㄋㄧㄢ2" + ], + "黐": [ + "ㄔ1", + "ㄌㄧ2" + ], + "黑": [ + "ㄏㄟ1" + ], + "黒": [ + "ㄏㄟ1" + ], + "黓": [ + "ㄧ4" + ], + "黔": [ + "ㄑㄧㄢ2" + ], + "黕": [ + "ㄉㄢ3" + ], + "黖": [ + "ㄒㄧ4" + ], + "黗": [ + "ㄊㄨㄣ1" + ], + "默": [ + "ㄇㄛ4" + ], + "黙": [ + "ㄇㄛ4" + ], + "黚": [ + "ㄑㄧㄢ2", + "ㄐㄧㄢ1" + ], + "黛": [ + "ㄉㄞ4" + ], + "黜": [ + "ㄔㄨ4" + ], + "黝": [ + "ㄧㄡ3", + "ㄧ1" + ], + "點": [ + "ㄉㄧㄢ3", + "ㄓㄢ1", + "ㄉㄨㄛ4" + ], + "黟": [ + "ㄧ1" + ], + "黠": [ + "ㄒㄧㄚ2" + ], + "黡": [ + "ㄧㄢ3" + ], + "黢": [ + "ㄑㄩ1" + ], + "黣": [ + "ㄇㄟ3" + ], + "黤": [ + "ㄧㄢ3" + ], + "黥": [ + "ㄑㄧㄥ2" + ], + "黦": [ + "ㄩㄝ4", + "ㄧㄝ4" + ], + "黧": [ + "ㄌㄧ2", + "ㄌㄞ2" + ], + "黨": [ + "ㄉㄤ3", + "ㄊㄤ3", + "ㄔㄥ4" + ], + "黩": [ + "ㄉㄨ2" + ], + "黪": [ + "ㄘㄢ3" + ], + "黫": [ + "ㄧㄢ1" + ], + "黬": [ + "ㄧㄢ2", + "ㄧㄢ3", + "ㄐㄧㄢ1" + ], + "黭": [ + "ㄧㄢ3" + ], + "黮": [ + "ㄉㄢ3", + "ㄊㄢ4", + "ㄓㄣ4", + "ㄕㄣ4" + ], + "黯": [ + "ㄢ4", + "ㄢ1" + ], + "黰": [ + "ㄓㄣ3", + "ㄧㄢ1" + ], + "黱": [ + "ㄉㄞ4", + "ㄓㄣ4" + ], + "黲": [ + "ㄘㄢ3" + ], + "黳": [ + "ㄧ1", + "ㄨㄚ1" + ], + "黴": [ + "ㄇㄟ2", + "ㄇㄟ4" + ], + "黵": [ + "ㄓㄢ3", + "ㄉㄢ3" + ], + "黶": [ + "ㄧㄢ3" + ], + "黷": [ + "ㄉㄨ2" + ], + "黸": [ + "ㄌㄨ2" + ], + "黹": [ + "ㄓ3", + "ㄒㄧㄢ4" + ], + "黺": [ + "ㄈㄣ3" + ], + "黻": [ + "ㄈㄨ2" + ], + "黼": [ + "ㄈㄨ3" + ], + "黽": [ + "ㄇㄧㄢ3", + "ㄇㄥ3", + "ㄇㄧㄣ3", + "ㄇㄥ2" + ], + "黾": [ + "ㄇㄧㄣ3", + "ㄇㄧㄢ3", + "ㄇㄥ3" + ], + "黿": [ + "ㄩㄢ2" + ], + "鼀": [ + "ㄘㄨ4" + ], + "鼁": [ + "ㄑㄩ4" + ], + "鼂": [ + "ㄔㄠ2", + "ㄓㄠ1" + ], + "鼃": [ + "ㄨㄚ1" + ], + "鼄": [ + "ㄓㄨ1" + ], + "鼅": [ + "ㄓ1" + ], + "鼆": [ + "ㄇㄥ2", + "ㄇㄥ3" + ], + "鼇": [ + "ㄠ2" + ], + "鼈": [ + "ㄅㄧㄝ1" + ], + "鼉": [ + "ㄊㄨㄛ2" + ], + "鼊": [ + "ㄅㄧ4" + ], + "鼋": [ + "ㄩㄢ2" + ], + "鼌": [ + "ㄔㄠ2" + ], + "鼍": [ + "ㄊㄨㄛ2" + ], + "鼎": [ + "ㄉㄧㄥ3", + "ㄓㄣ1" + ], + "鼏": [ + "ㄇㄧ4" + ], + "鼐": [ + "ㄋㄞ4" + ], + "鼑": [ + "ㄉㄧㄥ3" + ], + "鼒": [ + "ㄗ1" + ], + "鼓": [ + "ㄍㄨ3" + ], + "鼔": [ + "ㄍㄨ3" + ], + "鼕": [ + "ㄉㄨㄥ1", + "ㄊㄨㄥ2" + ], + "鼖": [ + "ㄈㄣ2" + ], + "鼗": [ + "ㄊㄠ2" + ], + "鼘": [ + "ㄩㄢ1" + ], + "鼙": [ + "ㄆㄧ2" + ], + "鼚": [ + "ㄔㄤ1" + ], + "鼛": [ + "ㄍㄠ1" + ], + "鼜": [ + "ㄑㄧ4", + "ㄘㄠ4" + ], + "鼝": [ + "ㄩㄢ1" + ], + "鼞": [ + "ㄊㄤ1" + ], + "鼟": [ + "ㄊㄥ1" + ], + "鼠": [ + "ㄕㄨ3" + ], + "鼡": [ + "ㄕㄨ3" + ], + "鼢": [ + "ㄈㄣ2" + ], + "鼣": [ + "ㄈㄟ4" + ], + "鼤": [ + "ㄨㄣ2", + "ㄨㄣ4" + ], + "鼥": [ + "ㄅㄚ2", + "ㄈㄟ4" + ], + "鼦": [ + "ㄉㄧㄠ1" + ], + "鼧": [ + "ㄊㄨㄛ2" + ], + "鼨": [ + "ㄓㄨㄥ1" + ], + "鼩": [ + "ㄑㄩ2" + ], + "鼪": [ + "ㄕㄥ1" + ], + "鼫": [ + "ㄕ2" + ], + "鼬": [ + "ㄧㄡ4" + ], + "鼭": [ + "ㄕ2" + ], + "鼮": [ + "ㄊㄧㄥ2" + ], + "鼯": [ + "ㄨ2" + ], + "鼰": [ + "ㄐㄩ2" + ], + "鼱": [ + "ㄐㄧㄥ1" + ], + "鼲": [ + "ㄏㄨㄣ2" + ], + "鼳": [ + "ㄐㄩ2", + "ㄒㄧ2" + ], + "鼴": [ + "ㄧㄢ3" + ], + "鼵": [ + "ㄊㄨ1" + ], + "鼶": [ + "ㄙ1" + ], + "鼷": [ + "ㄒㄧ1" + ], + "鼸": [ + "ㄒㄧㄢ4" + ], + "鼹": [ + "ㄧㄢ3" + ], + "鼺": [ + "ㄌㄟ2" + ], + "鼻": [ + "ㄅㄧ2" + ], + "鼼": [ + "ㄧㄠ4" + ], + "鼽": [ + "ㄑㄧㄡ2" + ], + "鼾": [ + "ㄏㄢ1" + ], + "鼿": [ + "ㄨ4", + "ㄏㄨㄟ1" + ], + "齀": [ + "ㄨ4" + ], + "齁": [ + "ㄏㄡ1", + "ㄎㄨ4" + ], + "齂": [ + "ㄒㄧㄝ4" + ], + "齃": [ + "ㄜ4", + "ㄏㄜ4" + ], + "齄": [ + "ㄓㄚ1" + ], + "齅": [ + "ㄒㄧㄡ4" + ], + "齆": [ + "ㄨㄥ4" + ], + "齇": [ + "ㄓㄚ1" + ], + "齈": [ + "ㄋㄨㄥ4" + ], + "齉": [ + "ㄋㄤ4" + ], + "齊": [ + "ㄑㄧ2", + "ㄐㄧ1", + "ㄐㄧ4", + "ㄗ1", + "ㄓㄞ1", + "ㄐㄧㄢ3" + ], + "齋": [ + "ㄓㄞ1" + ], + "齌": [ + "ㄐㄧ4" + ], + "齍": [ + "ㄗ1", + "ㄐㄧ4" + ], + "齎": [ + "ㄐㄧ1" + ], + "齏": [ + "ㄐㄧ1" + ], + "齐": [ + "ㄑㄧ2", + "ㄐㄧ4" + ], + "齑": [ + "ㄐㄧ1" + ], + "齒": [ + "ㄔ3" + ], + "齓": [ + "ㄔㄣ4" + ], + "齔": [ + "ㄔㄣ4" + ], + "齕": [ + "ㄏㄜ2" + ], + "齖": [ + "ㄧㄚ2", + "ㄧㄚ4" + ], + "齗": [ + "ㄧㄣ2", + "ㄧㄣ3", + "ㄧㄢ3" + ], + "齘": [ + "ㄒㄧㄝ4" + ], + "齙": [ + "ㄅㄠ1" + ], + "齚": [ + "ㄗㄜ2" + ], + "齛": [ + "ㄒㄧㄝ4", + "ㄕ4" + ], + "齜": [ + "ㄔㄞ2", + "ㄗ1" + ], + "齝": [ + "ㄔ1" + ], + "齞": [ + "ㄧㄢ3" + ], + "齟": [ + "ㄐㄩ3", + "ㄓㄚ1" + ], + "齠": [ + "ㄊㄧㄠ2" + ], + "齡": [ + "ㄌㄧㄥ2" + ], + "齢": [ + "ㄌㄧㄥ2" + ], + "齣": [ + "ㄔㄨ1", + "ㄔ3" + ], + "齤": [ + "ㄑㄩㄢ2" + ], + "齥": [ + "ㄒㄧㄝ4" + ], + "齦": [ + "ㄎㄣ3", + "ㄑㄧㄢ3", + "ㄧㄣ2", + "ㄎㄨㄣ3" + ], + "齧": [ + "ㄋㄧㄝ4" + ], + "齨": [ + "ㄐㄧㄡ4" + ], + "齩": [ + "ㄧㄠ3" + ], + "齪": [ + "ㄔㄨㄛ4" + ], + "齫": [ + "ㄩㄣ3" + ], + "齬": [ + "ㄩ3", + "ㄨ2" + ], + "齭": [ + "ㄔㄨ3" + ], + "齮": [ + "ㄧ3", + "ㄑㄧ3" + ], + "齯": [ + "ㄋㄧ2" + ], + "齰": [ + "ㄗㄜ2", + "ㄘㄜ4", + "ㄓㄚ4" + ], + "齱": [ + "ㄗㄡ1", + "ㄔㄨㄛ4" + ], + "齲": [ + "ㄑㄩ3" + ], + "齳": [ + "ㄩㄣ3" + ], + "齴": [ + "ㄧㄢ3" + ], + "齵": [ + "ㄡ2", + "ㄩ2" + ], + "齶": [ + "ㄜ4" + ], + "齷": [ + "ㄨㄛ4" + ], + "齸": [ + "ㄧ4" + ], + "齹": [ + "ㄘ1", + "ㄘㄨㄛ2" + ], + "齺": [ + "ㄗㄡ1" + ], + "齻": [ + "ㄉㄧㄢ1" + ], + "齼": [ + "ㄔㄨ3" + ], + "齽": [ + "ㄐㄧㄣ4" + ], + "齾": [ + "ㄧㄚ4", + "ㄜ4" + ], + "齿": [ + "ㄔ3" + ], + "龀": [ + "ㄔㄣ4" + ], + "龁": [ + "ㄏㄜ2" + ], + "龂": [ + "ㄧㄣ2" + ], + "龃": [ + "ㄐㄩ3" + ], + "龄": [ + "ㄌㄧㄥ2" + ], + "龅": [ + "ㄅㄠ1" + ], + "龆": [ + "ㄊㄧㄠ2" + ], + "龇": [ + "ㄗ1" + ], + "龈": [ + "ㄎㄣ3", + "ㄧㄣ2" + ], + "龉": [ + "ㄩ3" + ], + "龊": [ + "ㄔㄨㄛ4" + ], + "龋": [ + "ㄑㄩ3" + ], + "龌": [ + "ㄨㄛ4" + ], + "龍": [ + "ㄌㄨㄥ2", + "ㄇㄤ2" + ], + "龎": [ + "ㄆㄤ2" + ], + "龏": [ + "ㄍㄨㄥ1", + "ㄨㄛ4" + ], + "龐": [ + "ㄆㄤ2", + "ㄌㄨㄥ2" + ], + "龑": [ + "ㄧㄢ3" + ], + "龒": [ + "ㄌㄨㄥ2" + ], + "龓": [ + "ㄌㄨㄥ3", + "ㄌㄨㄥ2" + ], + "龔": [ + "ㄍㄨㄥ1" + ], + "龕": [ + "ㄎㄢ1", + "ㄎㄜ4" + ], + "龖": [ + "ㄉㄚ2" + ], + "龗": [ + "ㄌㄧㄥ2" + ], + "龘": [ + "ㄉㄚ2" + ], + "龙": [ + "ㄌㄨㄥ2" + ], + "龚": [ + "ㄍㄨㄥ1" + ], + "龛": [ + "ㄎㄢ1" + ], + "龜": [ + "ㄍㄨㄟ1", + "ㄑㄧㄡ1", + "ㄐㄩㄣ1" + ], + "龝": [ + "ㄑㄧㄡ1" + ], + "龞": [ + "ㄅㄧㄝ1" + ], + "龟": [ + "ㄍㄨㄟ1", + "ㄐㄩㄣ1", + "ㄑㄧㄡ1" + ], + "龠": [ + "ㄩㄝ4" + ], + "龡": [ + "ㄔㄨㄟ1" + ], + "龢": [ + "ㄏㄜ2" + ], + "龣": [ + "ㄐㄩㄝ2" + ], + "龤": [ + "ㄒㄧㄝ2" + ], + "龥": [ + "ㄩ4" + ], + "鿃": [ + "ㄕㄢ3" + ], + "鿍": [ + "ㄍㄤ4" + ], + "鿎": [ + "ㄊㄚ3", + "ㄉㄚ2" + ], + "鿏": [ + "ㄇㄞ4" + ], + "鿔": [ + "ㄍㄜ1" + ], + "鿕": [ + "ㄉㄢ1" + ], + "鿫": [ + "ㄠ4" + ], + "鿬": [ + "ㄊㄧㄢ2" + ], + "鿭": [ + "ㄋㄧ3" + ], + "": [ + "ㄧㄝ4" + ], + "": [ + "ㄗㄨㄛ3", + "ㄧㄡ3" + ], + "": [ + "ㄍㄨㄣ3" + ], + "": [ + "ㄓㄡ4", + "ㄓㄨ1" + ], + "": [ + "ㄓㄡ4", + "ㄓㄨ1" + ], + "": [ + "ㄐㄧㄝ2", + "ㄐㄧㄝ1" + ], + "": [ + "ㄨㄞ1" + ], + "": [ + "ㄏㄢ3" + ], + "": [ + "ㄏㄢ3" + ], + "": [ + "ㄓㄡ4" + ], + "": [ + "ㄓㄡ4" + ], + "": [ + "ㄕㄡ3" + ], + "": [ + "ㄍㄤ1" + ], + "": [ + "ㄎㄨㄞ3" + ], + "": [ + "ㄙㄨㄥ3" + ], + "": [ + "ㄙㄨㄥ3" + ], + "": [ + "ㄈㄥ1" + ], + "": [ + "ㄍㄨㄥ4" + ], + "": [ + "ㄍㄤ1" + ], + "": [ + "ㄏㄨㄟ4", + "ㄎㄨㄟ4" + ], + "": [ + "ㄊㄚ4" + ], + "": [ + "ㄐㄧㄢ1" + ], + "": [ + "ㄣ1" + ], + "": [ + "ㄒㄧㄠ3" + ], + "": [ + "ㄌㄡ2", + "ㄌㄩ2" + ], + "": [ + "ㄘㄢ3", + "ㄕㄢ1", + "ㄘㄣ1" + ], + "": [ + "ㄓㄨ2" + ], + "": [ + "ㄔㄡ1", + "ㄔㄡ2" + ], + "": [ + "ㄨㄤ3" + ], + "": [ + "ㄧㄤ2", + "ㄒㄧㄤ2" + ], + "": [ + "ㄗㄞ1" + ], + "": [ + "ㄅㄚ4", + "ㄅㄟ1" + ], + "": [ + "ㄅㄚ4", + "ㄅㄟ1" + ], + "": [ + "ㄓㄨㄢ1", + "ㄓㄨㄢ2", + "ㄔㄨㄢ3", + "ㄔㄨㄣ2" + ], + "": [ + "ㄑㄩㄥ2" + ], + "": [ + "ㄎㄨㄟ4", + "ㄏㄨㄟ4" + ], + "": [ + "ㄎㄨㄟ4", + "ㄏㄨㄟ4" + ], + "": [ + "ㄐㄩㄢ3" + ], + "": [ + "ㄒㄧㄣ1" + ], + "": [ + "ㄧㄢ4" + ], + "": [ + "ㄑㄧㄥ2" + ], + "": [ + "ㄑㄧㄥ2" + ], + "": [ + "ㄕㄢ4" + ], + "": [ + "ㄧㄝ2", + "ㄧㄚ2" + ], + "": [ + "ㄆㄛ1" + ], + "": [ + "ㄕㄢ4" + ], + "": [ + "ㄓㄨㄛ1" + ], + "": [ + "ㄕㄢ4" + ], + "": [ + "ㄐㄩㄝ2" + ], + "": [ + "ㄔㄨㄞ4" + ], + "": [ + "ㄓㄥ4" + ], + "": [ + "ㄔㄨㄞ4" + ], + "": [ + "ㄓㄥ4" + ], + "": [ + "ㄓㄨㄛ2" + ], + "": [ + "ㄧㄥ2" + ], + "": [ + "ㄩ2" + ], + "": [ + "ㄧㄣ4" + ], + "": [ + "ㄔㄨㄣ1" + ], + "": [ + "ㄑㄧㄡ1" + ], + "": [ + "ㄩ2" + ], + "": [ + "ㄊㄥ2" + ], + "": [ + "ㄕ1" + ], + "": [ + "ㄐㄧㄠ1" + ], + "": [ + "ㄌㄧㄝ4" + ], + "": [ + "ㄐㄧㄥ1" + ], + "": [ + "ㄐㄩ2" + ], + "": [ + "ㄊㄧ1" + ], + "": [ + "ㄆㄧ4" + ], + "": [ + "ㄧㄢ3" + ], + "": [ + "ㄌㄨㄢ2" + ], + "礼": [ + "ㄌㄧ3" + ], + "𠀀": [ + "ㄏㄜ1" + ], + "𠀁": [ + "ㄑㄧ1" + ], + "𠀃": [ + "ㄑㄧㄝ3", + "ㄐㄧ1" + ], + "𠀅": [ + "ㄏㄞ4" + ], + "𠀉": [ + "ㄑㄧㄡ1" + ], + "𠀊": [ + "ㄘㄠ1" + ], + "𠀍": [ + "ㄕ4" + ], + "𠀓": [ + "ㄙ1" + ], + "𠀔": [ + "ㄐㄩㄝ2" + ], + "𠀛": [ + "ㄩ4" + ], + "𠀝": [ + "ㄎㄨㄥ1" + ], + "𠀢": [ + "ㄗ1" + ], + "𠀦": [ + "ㄒㄧㄥ2" + ], + "𠀱": [ + "ㄇㄡ3" + ], + "𠀷": [ + "ㄐㄧ1" + ], + "𠀸": [ + "ㄧㄝ4" + ], + "𠀹": [ + "ㄐㄩㄣ1" + ], + "𠀼": [ + "ㄑㄧㄢ2", + "ㄒㄧㄚ4" + ], + "𠀽": [ + "ㄌㄨ4" + ], + "𠁁": [ + "ㄉㄡ4" + ], + "𠁉": [ + "ㄔㄨ1" + ], + "𠁗": [ + "ㄕ4", + "ㄏㄜ4" + ], + "𠁠": [ + "ㄑㄧㄝ4" + ], + "𠁥": [ + "ㄍㄚ3" + ], + "𠁭": [ + "ㄑㄧ2" + ], + "𠁷": [ + "ㄔㄢ3" + ], + "𠂄": [ + "ㄏㄨㄢ1" + ], + "𠂆": [ + "ㄧ4" + ], + "𠂇": [ + "ㄗㄨㄛ3" + ], + "𠂈": [ + "ㄐㄧㄝ2", + "ㄊㄧㄢ3" + ], + "𠂑": [ + "ㄗㄡ1" + ], + "𠂔": [ + "ㄗ3" + ], + "𠂝": [ + "ㄗㄚ1" + ], + "𠂟": [ + "ㄐㄧㄣ1" + ], + "𠂢": [ + "ㄆㄞ4" + ], + "𠂤": [ + "ㄉㄨㄟ1" + ], + "𠂥": [ + "ㄘㄨㄥ2" + ], + "𠂧": [ + "ㄕㄣ4" + ], + "𠂸": [ + "ㄏㄨㄤ2" + ], + "𠃊": [ + "ㄧㄣ3" + ], + "𠃌": [ + "ㄍㄨㄣ3" + ], + "𠃖": [ + "ㄐㄧㄡ1" + ], + "𠃫": [ + "ㄕㄣ1" + ], + "𠃺": [ + "ㄐㄧㄡ4" + ], + "𠄅": [ + "ㄧㄝ4" + ], + "𠄉": [ + "ㄉㄨㄥ4" + ], + "𠄌": [ + "ㄐㄩㄝ2", + "ㄓㄨㄟ4" + ], + "𠄍": [ + "ㄐㄧㄝ2" + ], + "𠄏": [ + "ㄉㄧㄠ3" + ], + "𠄑": [ + "ㄐㄩㄝ2" + ], + "𠄒": [ + "ㄔㄨㄟ2", + "ㄕㄚ1" + ], + "𠄖": [ + "ㄌㄧㄥ2" + ], + "𠄚": [ + "ㄊㄧㄥ1" + ], + "𠄣": [ + "ㄍㄣ4" + ], + "𠄮": [ + "ㄧㄚ4", + "ㄇㄛ3" + ], + "𠄱": [ + "ㄧ2" + ], + "𠄿": [ + "ㄨㄟ2" + ], + "𠅂": [ + "ㄐㄧㄝ2" + ], + "𠅌": [ + "ㄧ2" + ], + "𠅗": [ + "ㄉㄧㄝ4" + ], + "𠅚": [ + "ㄑㄧ2" + ], + "𠅤": [ + "ㄒㄧ2" + ], + "𠅬": [ + "ㄅㄠ1" + ], + "𠅱": [ + "ㄒㄧㄝ4" + ], + "𠅹": [ + "ㄓㄤ4" + ], + "𠆌": [ + "ㄩㄥ1" + ], + "𠆐": [ + "ㄒㄩ4" + ], + "𠆙": [ + "ㄉㄧㄝ4" + ], + "𠆛": [ + "ㄉㄢ1" + ], + "𠆟": [ + "ㄨㄟ3" + ], + "𠆣": [ + "ㄍㄨㄚ3", + "ㄓㄨㄚ3" + ], + "𠆩": [ + "ㄈㄢ4" + ], + "𠆮": [ + "ㄇㄛ4" + ], + "𠆱": [ + "ㄒㄧ1" + ], + "𠆲": [ + "ㄧㄢ3" + ], + "𠆵": [ + "ㄋㄧ2" + ], + "𠆶": [ + "ㄉㄢ4" + ], + "𠇋": [ + "ㄉㄢ3" + ], + "𠇏": [ + "ㄊㄠ1" + ], + "𠇒": [ + "ㄍㄨㄥ1" + ], + "𠇗": [ + "ㄎㄨㄚ1" + ], + "𠇘": [ + "ㄔㄨ4" + ], + "𠇯": [ + "ㄑㄩ4" + ], + "𠇱": [ + "ㄇㄛ4" + ], + "𠇳": [ + "ㄕ1" + ], + "𠇵": [ + "ㄍㄢ3" + ], + "𠇷": [ + "ㄕㄥ1" + ], + "𠈁": [ + "ㄊㄨㄛ1" + ], + "𠈅": [ + "ㄕㄡ1" + ], + "𠈊": [ + "ㄋㄧㄝ3" + ], + "𠈤": [ + "ㄩㄣ4" + ], + "𠈥": [ + "ㄍㄨㄚ3" + ], + "𠈬": [ + "ㄒㄧㄠ1" + ], + "𠈭": [ + "ㄌㄠ2" + ], + "𠈰": [ + "ㄉㄢ4" + ], + "𠈱": [ + "ㄙㄨㄛ1" + ], + "𠈵": [ + "ㄇㄤ3" + ], + "𠈶": [ + "ㄧ2" + ], + "𠈸": [ + "ㄊㄜ4" + ], + "𠈺": [ + "ㄅㄧ4" + ], + "𠉂": [ + "ㄊㄚ4" + ], + "𠉗": [ + "ㄌㄨㄛ4" + ], + "𠉢": [ + "ㄒㄧ3" + ], + "𠉣": [ + "ㄏㄨㄣ1", + "ㄏㄨㄣ4" + ], + "𠉤": [ + "ㄉㄚ2" + ], + "𠉧": [ + "ㄐㄩ4" + ], + "𠉩": [ + "ㄉㄨ2" + ], + "𠉬": [ + "ㄢ3", + "ㄧㄢ3" + ], + "𠊉": [ + "ㄇㄟ4" + ], + "𠊌": [ + "ㄖㄢ2" + ], + "𠊎": [ + "ㄞ2" + ], + "𠊏": [ + "ㄩ4", + "ㄒㄧㄢ2" + ], + "𠊒": [ + "ㄐㄧㄢ4" + ], + "𠊔": [ + "ㄑㄧ4" + ], + "𠊟": [ + "ㄇㄧㄣ3" + ], + "𠊣": [ + "ㄓㄡ4" + ], + "𠊤": [ + "ㄓ4" + ], + "𠊥": [ + "ㄓㄨㄥ3" + ], + "𠊦": [ + "ㄋㄠ3" + ], + "𠊧": [ + "ㄅㄧㄥ4" + ], + "𠊩": [ + "ㄓㄨㄢ4" + ], + "𠊪": [ + "ㄕㄨ4" + ], + "𠊫": [ + "ㄒㄩㄣ4", + "ㄑㄩㄥ2" + ], + "𠊬": [ + "ㄐㄩㄝ2" + ], + "𠊭": [ + "ㄑㄧㄢ3" + ], + "𠊰": [ + "ㄍㄨㄚ3" + ], + "𠊲": [ + "ㄊㄨ1" + ], + "𠊶": [ + "ㄧㄥ4" + ], + "𠊷": [ + "ㄓ4" + ], + "𠊾": [ + "ㄎㄨㄟ2" + ], + "𠋆": [ + "ㄔㄣ4" + ], + "𠋖": [ + "ㄌㄧㄢ4" + ], + "𠋗": [ + "ㄧㄚ1" + ], + "𠋜": [ + "ㄍㄨㄛ4" + ], + "𠋝": [ + "ㄇㄧㄠ3" + ], + "𠋞": [ + "ㄕㄜ2" + ], + "𠋟": [ + "ㄩ3" + ], + "𠋡": [ + "ㄙ4" + ], + "𠋢": [ + "ㄙㄡ3", + "ㄓㄡ4" + ], + "𠋤": [ + "ㄓ4" + ], + "𠋧": [ + "ㄑㄧㄝ1" + ], + "𠋩": [ + "ㄈㄨ4" + ], + "𠋬": [ + "ㄐㄩ2" + ], + "𠋭": [ + "ㄅㄟ4" + ], + "𠋯": [ + "ㄅㄧ4" + ], + "𠋲": [ + "ㄙㄨㄛ3" + ], + "𠋵": [ + "ㄑㄧㄢ3" + ], + "𠋶": [ + "ㄇㄧㄥ3" + ], + "𠋷": [ + "ㄔㄢ3" + ], + "𠋺": [ + "ㄙㄠ1" + ], + "𠋻": [ + "ㄐㄧ1" + ], + "𠌕": [ + "ㄍㄨㄥ4" + ], + "𠌖": [ + "ㄑㄩㄥ2" + ], + "𠌚": [ + "ㄋㄨㄥ4", + "ㄖㄨㄥ4" + ], + "𠌞": [ + "ㄙㄡ3" + ], + "𠌟": [ + "ㄙㄡ3" + ], + "𠌠": [ + "ㄧㄠ2" + ], + "𠌪": [ + "ㄔㄡ1", + "ㄊㄠ1" + ], + "𠌭": [ + "ㄕㄨㄞ4" + ], + "𠌮": [ + "ㄓㄜ1" + ], + "𠌯": [ + "ㄌㄧ4", + "ㄌㄧ2" + ], + "𠌰": [ + "ㄍㄞ4" + ], + "𠌱": [ + "ㄙㄨㄟ1" + ], + "𠌲": [ + "ㄓㄢ1" + ], + "𠌴": [ + "ㄓㄨㄤ4" + ], + "𠌽": [ + "ㄈㄨ4" + ], + "𠍃": [ + "ㄐㄧ1" + ], + "𠍄": [ + "ㄉㄡ1" + ], + "𠍗": [ + "ㄏㄨㄟ4" + ], + "𠍚": [ + "ㄐㄧㄢ3" + ], + "𠍛": [ + "ㄧㄢ3" + ], + "𠍜": [ + "ㄓ4" + ], + "𠍨": [ + "ㄇㄟ3" + ], + "𠍩": [ + "ㄧㄠ4" + ], + "𠍪": [ + "ㄉㄧ1" + ], + "𠍫": [ + "ㄧ2" + ], + "𠍯": [ + "ㄅㄧㄝ2" + ], + "𠍲": [ + "ㄑㄩ2" + ], + "𠍳": [ + "ㄧ4" + ], + "𠍵": [ + "ㄧㄤ4" + ], + "𠍹": [ + "ㄓㄚ2" + ], + "𠍽": [ + "ㄕㄚ4" + ], + "𠎙": [ + "ㄌㄞ2" + ], + "𠎮": [ + "ㄐㄩㄝ2" + ], + "𠎰": [ + "ㄑㄧ1" + ], + "𠎳": [ + "ㄩ2" + ], + "𠎶": [ + "ㄗㄞ3" + ], + "𠎷": [ + "ㄙㄚ4" + ], + "𠎸": [ + "ㄙㄜ4" + ], + "𠎻": [ + "ㄉㄨㄣ4" + ], + "𠎿": [ + "ㄐㄧㄝ3" + ], + "𠏀": [ + "ㄎㄜ1" + ], + "𠏃": [ + "ㄩㄝ1" + ], + "𠏇": [ + "ㄐㄧㄢ3" + ], + "𠏈": [ + "ㄧㄠ2" + ], + "𠏓": [ + "ㄒㄧㄢ1" + ], + "𠏕": [ + "ㄒㄧㄠ4" + ], + "𠏖": [ + "ㄑㄧㄠ1" + ], + "𠏚": [ + "ㄩ4" + ], + "𠏛": [ + "ㄑㄩ2" + ], + "𠏡": [ + "ㄒㄧㄢ1", + "ㄌㄧㄥ2" + ], + "𠏢": [ + "ㄌㄨㄛ4" + ], + "𠏤": [ + "ㄍㄨㄤ3" + ], + "𠏧": [ + "ㄔㄥ1" + ], + "𠏨": [ + "ㄔㄨㄤ3" + ], + "𠏩": [ + "ㄧ2" + ], + "𠏫": [ + "ㄓㄥ3" + ], + "𠏭": [ + "ㄗㄨㄥ4" + ], + "𠏮": [ + "ㄉㄨㄟ4" + ], + "𠏰": [ + "ㄓㄞ3" + ], + "𠏿": [ + "ㄈㄟ3" + ], + "𠐀": [ + "ㄧ2" + ], + "𠐁": [ + "ㄇㄥ2" + ], + "𠐈": [ + "ㄅㄧㄢ1", + "ㄆㄧㄢ2" + ], + "𠐉": [ + "ㄐㄧㄝ2" + ], + "𠐊": [ + "ㄕㄨ4" + ], + "𠐋": [ + "ㄌㄧㄠ2" + ], + "𠐌": [ + "ㄅㄧ3", + "ㄅㄚ4" + ], + "𠐍": [ + "ㄙㄨ2" + ], + "𠐑": [ + "ㄉㄧ4" + ], + "𠐡": [ + "ㄅㄟ4" + ], + "𠐢": [ + "ㄨㄣ4" + ], + "𠐧": [ + "ㄇㄥ2" + ], + "𠐩": [ + "ㄔㄢ3" + ], + "𠐵": [ + "ㄉㄠ3" + ], + "𠐺": [ + "ㄆㄧㄣ2" + ], + "𠐻": [ + "ㄐㄧㄢ3" + ], + "𠐼": [ + "ㄌㄧㄣ4" + ], + "𠐽": [ + "ㄍㄨㄟ4", + "ㄍㄨㄟ1" + ], + "𠐾": [ + "ㄑㄧ1" + ], + "𠐿": [ + "ㄏㄨㄥ1" + ], + "𠑃": [ + "ㄐㄧ2" + ], + "𠑄": [ + "ㄒㄧㄝ4" + ], + "𠑅": [ + "ㄓㄥ1" + ], + "𠑆": [ + "ㄔㄢ3" + ], + "𠑐": [ + "ㄧㄠ2" + ], + "𠑑": [ + "ㄔㄢ3" + ], + "𠑘": [ + "ㄉㄧㄢ1" + ], + "𠑙": [ + "ㄔㄨㄥ4" + ], + "𠑚": [ + "ㄋㄟ2" + ], + "𠑛": [ + "ㄋㄟ2" + ], + "𠑞": [ + "ㄓㄞ4" + ], + "𠑟": [ + "ㄅㄧㄢ1", + "ㄆㄧㄢ2" + ], + "𠑡": [ + "ㄔㄢ3" + ], + "𠑪": [ + "ㄒㄧㄠ1" + ], + "𠑯": [ + "ㄘㄨ4" + ], + "𠑰": [ + "ㄒㄧㄣ1" + ], + "𠑱": [ + "ㄐㄧㄥ3" + ], + "𠑲": [ + "ㄑㄧㄢ1" + ], + "𠑴": [ + "ㄑㄧㄥ1" + ], + "𠑹": [ + "ㄍㄨ3" + ], + "𠒄": [ + "ㄨ4" + ], + "𠒜": [ + "ㄩㄢ3" + ], + "𠒝": [ + "ㄅㄧㄥ3" + ], + "𠒢": [ + "ㄨㄢ2" + ], + "𠒰": [ + "ㄋㄧㄠ3", + "ㄋㄧ2" + ], + "𠒵": [ + "ㄌㄧㄢ4" + ], + "𠒸": [ + "ㄖㄠ3" + ], + "𠒾": [ + "ㄈㄢ4" + ], + "𠒿": [ + "ㄉㄧ2" + ], + "𠓊": [ + "ㄏㄨㄟ1", + "ㄉㄢ1" + ], + "𠓋": [ + "ㄧ4" + ], + "𠓌": [ + "ㄒㄧㄢ2" + ], + "𠓖": [ + "ㄌㄢ2" + ], + "𠓗": [ + "ㄈㄨ4" + ], + "𠓙": [ + "ㄒㄩㄥ4" + ], + "𠓜": [ + "ㄌㄧㄤ3" + ], + "𠓝": [ + "ㄊㄠ1" + ], + "𠓞": [ + "ㄐㄧ2" + ], + "𠓢": [ + "ㄐㄧㄝ4" + ], + "𠓣": [ + "ㄓㄚ2" + ], + "𠓤": [ + "ㄕ1" + ], + "𠓪": [ + "ㄑㄧ2" + ], + "𠓫": [ + "ㄅㄧㄢ3" + ], + "𠓭": [ + "ㄌㄢ3" + ], + "𠓮": [ + "ㄌㄧㄣ3" + ], + "𠓶": [ + "ㄓ4" + ], + "𠓷": [ + "ㄅㄧ4", + "ㄔㄥ2" + ], + "𠓸": [ + "ㄕㄥ4" + ], + "𠓽": [ + "ㄕㄥ4" + ], + "𠓿": [ + "ㄑㄧㄣ2" + ], + "𠔂": [ + "ㄅㄧㄠ1" + ], + "𠔃": [ + "ㄒㄧ1" + ], + "𠔉": [ + "ㄐㄩㄢ4" + ], + "𠔋": [ + "ㄐㄧ1", + "ㄒㄧㄣ4" + ], + "𠔍": [ + "ㄒㄧ1" + ], + "𠔎": [ + "ㄑㄧㄣ3" + ], + "𠔑": [ + "ㄏㄞ4" + ], + "𠔕": [ + "ㄌㄨㄣ2" + ], + "𠔠": [ + "ㄩㄝ4" + ], + "𠔨": [ + "ㄌㄧㄢ2" + ], + "𠔯": [ + "ㄅㄢ1" + ], + "𠔲": [ + "ㄏㄥ2" + ], + "𠔶": [ + "ㄑㄧ1" + ], + "𠔺": [ + "ㄑㄧㄢ1" + ], + "𠔻": [ + "ㄓㄥ4" + ], + "𠔼": [ + "ㄇㄠ3" + ], + "𠕁": [ + "ㄘㄨㄥ2" + ], + "𠕄": [ + "ㄋㄚ4" + ], + "𠕊": [ + "ㄊㄧㄥ3" + ], + "𠕌": [ + "ㄗㄨㄥ1" + ], + "𠕕": [ + "ㄐㄩㄥ1" + ], + "𠕖": [ + "ㄓㄠ3" + ], + "𠕟": [ + "ㄋㄧㄢ3" + ], + "𠕠": [ + "ㄔㄥ2" + ], + "𠕣": [ + "ㄑㄧㄚ4" + ], + "𠕦": [ + "ㄩ4" + ], + "𠕧": [ + "ㄐㄧㄠ3" + ], + "𠕭": [ + "ㄓㄠ4" + ], + "𠕳": [ + "ㄉㄧ2" + ], + "𠕴": [ + "ㄐㄧㄡ1" + ], + "𠕸": [ + "ㄙㄨㄟ3" + ], + "𠕻": [ + "ㄧㄠ1" + ], + "𠕿": [ + "ㄨㄤ1" + ], + "𠖂": [ + "ㄌㄧㄠ2" + ], + "𠖄": [ + "ㄊㄨㄥ2" + ], + "𠖆": [ + "ㄇㄥ4" + ], + "𠖋": [ + "ㄧㄡ3" + ], + "𠖓": [ + "ㄙ1" + ], + "𠖛": [ + "ㄌㄡ4" + ], + "𠖟": [ + "ㄧㄣ1" + ], + "𠖥": [ + "ㄔㄨㄥ3" + ], + "𠖫": [ + "ㄍㄢ3" + ], + "𠖬": [ + "ㄐㄧㄡ1" + ], + "𠖶": [ + "ㄑㄧㄣ4" + ], + "𠖷": [ + "ㄐㄩㄥ3" + ], + "𠖹": [ + "ㄒㄧㄝ2", + "ㄒㄧㄚ2" + ], + "𠗂": [ + "ㄏㄜ4" + ], + "𠗆": [ + "ㄊㄠ1" + ], + "𠗈": [ + "ㄑㄧㄡ2" + ], + "𠗉": [ + "ㄒㄧㄝ2" + ], + "𠗊": [ + "ㄐㄧㄥ4" + ], + "𠗋": [ + "ㄋㄧㄢ3" + ], + "𠗌": [ + "ㄐㄧㄥ4" + ], + "𠗏": [ + "ㄐㄧ2" + ], + "𠗘": [ + "ㄊㄧㄢ3" + ], + "𠗚": [ + "ㄘㄨㄟ4" + ], + "𠗛": [ + "ㄉㄧㄝ2" + ], + "𠗝": [ + "ㄑㄧㄥ3" + ], + "𠗥": [ + "ㄆㄧㄥ4" + ], + "𠗦": [ + "ㄆㄧㄥ2" + ], + "𠗨": [ + "ㄉㄧㄝ2" + ], + "𠗩": [ + "ㄌㄡ4" + ], + "𠗳": [ + "ㄌㄧㄢ3" + ], + "𠗴": [ + "ㄏㄢ2" + ], + "𠗵": [ + "ㄆㄤ1" + ], + "𠗶": [ + "ㄊㄤ2" + ], + "𠗺": [ + "ㄧ2" + ], + "𠗻": [ + "ㄒㄩㄢ2" + ], + "𠗼": [ + "ㄙㄨㄛ4" + ], + "𠗽": [ + "ㄌㄧㄡ2" + ], + "𠗾": [ + "ㄕㄨㄤ3" + ], + "𠗿": [ + "ㄕㄣ4" + ], + "𠘁": [ + "ㄅㄨ4" + ], + "𠘂": [ + "ㄙㄡ1" + ], + "𠘅": [ + "ㄑㄧㄣ2" + ], + "𠘆": [ + "ㄕㄣ3" + ], + "𠘊": [ + "ㄋㄨㄥ4" + ], + "𠘋": [ + "ㄊㄧㄥ3" + ], + "𠘌": [ + "ㄐㄧㄤ1" + ], + "𠘕": [ + "ㄒㄧ1" + ], + "𠘖": [ + "ㄓ4" + ], + "𠘝": [ + "ㄌㄞ4" + ], + "𠘞": [ + "ㄌㄧ4" + ], + "𠘟": [ + "ㄌㄧ4" + ], + "𠘢": [ + "ㄏㄜ2" + ], + "𠘣": [ + "ㄐㄧㄠ4" + ], + "𠘥": [ + "ㄧㄢ2" + ], + "𠘧": [ + "ㄕㄨ1" + ], + "𠘪": [ + "ㄕ3" + ], + "𠘱": [ + "ㄓㄣ3" + ], + "𠘳": [ + "ㄧㄡ1" + ], + "𠘺": [ + "ㄙㄨㄛ4" + ], + "𠘻": [ + "ㄨ2" + ], + "𠙁": [ + "ㄔㄤ2" + ], + "𠙂": [ + "ㄘㄨㄥ2" + ], + "𠙆": [ + "ㄐㄩ4" + ], + "𠙎": [ + "ㄕㄨ1" + ], + "𠙔": [ + "ㄐㄧㄡ4" + ], + "𠙕": [ + "ㄨㄟ2" + ], + "𠙞": [ + "ㄏㄨㄛ4" + ], + "𠙤": [ + "ㄐㄧㄝ1" + ], + "𠙬": [ + "ㄗㄠ3" + ], + "𠙶": [ + "ㄡ3" + ], + "𠙼": [ + "ㄍㄨㄚ3" + ], + "𠚃": [ + "ㄏㄠ2" + ], + "𠚄": [ + "ㄌㄧ3" + ], + "𠚅": [ + "ㄓ4" + ], + "𠚆": [ + "ㄒㄧㄢ4" + ], + "𠚉": [ + "ㄅㄨ1" + ], + "𠚊": [ + "ㄔㄤ4" + ], + "𠚓": [ + "ㄩㄣ1" + ], + "𠚔": [ + "ㄏㄜ2" + ], + "𠚜": [ + "ㄊㄠ1" + ], + "𠚠": [ + "ㄅㄧㄠ1" + ], + "𠚥": [ + "ㄉㄧㄠ1" + ], + "𠚧": [ + "ㄦ4" + ], + "𠚨": [ + "ㄐㄧㄡ1" + ], + "𠚭": [ + "ㄉㄧ4" + ], + "𠚮": [ + "ㄧ4" + ], + "𠚯": [ + "ㄎㄨㄣ1" + ], + "𠚱": [ + "ㄓㄜ2" + ], + "𠚳": [ + "ㄎㄨㄛ4" + ], + "𠚴": [ + "ㄓㄡ1" + ], + "𠚵": [ + "ㄐㄩ4" + ], + "𠚹": [ + "ㄕㄢ4" + ], + "𠚺": [ + "ㄕㄚ4" + ], + "𠚻": [ + "ㄉㄧㄠ1" + ], + "𠚼": [ + "ㄅㄢ1" + ], + "𠚽": [ + "ㄐㄧ1" + ], + "𠛀": [ + "ㄓㄨㄥ1" + ], + "𠛃": [ + "ㄧ2" + ], + "𠛅": [ + "ㄎㄡ1" + ], + "𠛆": [ + "ㄨ1" + ], + "𠛊": [ + "ㄍㄜ1" + ], + "𠛋": [ + "ㄅㄚ1" + ], + "𠛎": [ + "ㄍㄡ1" + ], + "𠛑": [ + "ㄒㄧㄢ2" + ], + "𠛒": [ + "ㄍㄨㄚ1" + ], + "𠛓": [ + "ㄌㄧㄡ3" + ], + "𠛔": [ + "ㄔ3" + ], + "𠛕": [ + "ㄍㄨㄞ1" + ], + "𠛖": [ + "ㄔㄨㄢ1" + ], + "𠛘": [ + "ㄌㄧ2" + ], + "𠛙": [ + "ㄘㄨ4" + ], + "𠛚": [ + "ㄕㄨㄚ1" + ], + "𠛡": [ + "ㄅㄧ3" + ], + "𠛥": [ + "ㄅㄧㄥ3" + ], + "𠛦": [ + "ㄌㄧ4" + ], + "𠛩": [ + "ㄐㄧㄡ3" + ], + "𠛪": [ + "ㄊㄧㄠ1", + "ㄉㄧㄠ1" + ], + "𠛫": [ + "ㄉㄨㄛ3" + ], + "𠛭": [ + "ㄧㄢ1", + "ㄩㄢ1" + ], + "𠛮": [ + "ㄑㄩㄢ1" + ], + "𠛱": [ + "ㄌㄧㄝ4", + "ㄗㄚ1" + ], + "𠛳": [ + "ㄎㄜ4", + "ㄏㄜ2" + ], + "𠛵": [ + "ㄍㄣ1" + ], + "𠛶": [ + "ㄓㄣ1" + ], + "𠛸": [ + "ㄈㄣ2" + ], + "𠜁": [ + "ㄧ2" + ], + "𠜃": [ + "ㄐㄧㄡ4" + ], + "𠜄": [ + "ㄒㄩ4" + ], + "𠜅": [ + "ㄐㄧㄠ3" + ], + "𠜈": [ + "ㄌㄩ4" + ], + "𠜉": [ + "ㄐㄧㄡ3" + ], + "𠜋": [ + "ㄔㄡ3" + ], + "𠜎": [ + "ㄒㄧㄢ4" + ], + "𠜐": [ + "ㄎㄨㄞ4" + ], + "𠜑": [ + "ㄉㄨㄟ4" + ], + "𠜖": [ + "ㄌㄨㄛ1" + ], + "𠜗": [ + "ㄒㄧ1", + "ㄒㄧ4" + ], + "𠜘": [ + "ㄑㄧㄣ4" + ], + "𠜙": [ + "ㄅㄨ4" + ], + "𠜤": [ + "ㄑㄧㄚ4" + ], + "𠜱": [ + "ㄆㄧ1" + ], + "𠜲": [ + "ㄧㄚ1" + ], + "𠜳": [ + "ㄅㄥ1" + ], + "𠜴": [ + "ㄍㄨㄛ3" + ], + "𠜵": [ + "ㄍㄨㄚ1" + ], + "𠜹": [ + "ㄐㄩ2" + ], + "𠜼": [ + "ㄑㄧㄚ1" + ], + "𠜾": [ + "ㄐㄩㄝ2", + "ㄍㄨㄟ4" + ], + "𠝄": [ + "ㄌㄧ4" + ], + "𠝐": [ + "ㄏㄨㄚ1" + ], + "𠝑": [ + "ㄐㄧㄠ1" + ], + "𠝘": [ + "ㄑㄧㄚ4" + ], + "𠝚": [ + "ㄓㄚ2", + "ㄓㄜ2" + ], + "𠝛": [ + "ㄑㄧㄚ1" + ], + "𠝝": [ + "ㄓㄜ2", + "ㄓㄚ2" + ], + "𠝞": [ + "ㄔㄚ1" + ], + "𠝟": [ + "ㄧㄥ3" + ], + "𠝢": [ + "ㄧㄢ1" + ], + "𠝤": [ + "ㄔㄨㄥ1" + ], + "𠝨": [ + "ㄔ3" + ], + "𠝪": [ + "ㄨㄢ1" + ], + "𠝬": [ + "ㄙㄡ1" + ], + "𠝲": [ + "ㄎㄢ3" + ], + "𠝳": [ + "ㄩㄢ2" + ], + "𠝽": [ + "ㄔㄡ2" + ], + "𠝿": [ + "ㄙㄨㄛ3" + ], + "𠞀": [ + "ㄊㄨ1" + ], + "𠞃": [ + "ㄓㄜ2" + ], + "𠞄": [ + "ㄊㄧ1", + "ㄔ3" + ], + "𠞆": [ + "ㄨ1" + ], + "𠞈": [ + "ㄉㄚ1" + ], + "𠞉": [ + "ㄌㄧ4" + ], + "𠞊": [ + "ㄔㄚ1", + "ㄔㄞ1", + "ㄔㄚ2" + ], + "𠞕": [ + "ㄖㄨㄥ2" + ], + "𠞖": [ + "ㄍㄨㄥ4" + ], + "𠞗": [ + "ㄑㄩㄝ4" + ], + "𠞙": [ + "ㄌㄧ2" + ], + "𠞞": [ + "ㄊㄠ1" + ], + "𠞤": [ + "ㄌㄧ4" + ], + "𠞧": [ + "ㄇㄧ2" + ], + "𠞩": [ + "ㄔ4", + "ㄕㄨㄞ4" + ], + "𠞬": [ + "ㄍㄨㄣ4" + ], + "𠞭": [ + "ㄌㄡ2", + "ㄌㄡ4" + ], + "𠞮": [ + "ㄔㄨㄤ3" + ], + "𠞯": [ + "ㄙㄨㄛ3" + ], + "𠞰": [ + "ㄐㄧㄠ3" + ], + "𠞱": [ + "ㄐㄧㄣ4" + ], + "𠞵": [ + "ㄈㄚ2" + ], + "𠞶": [ + "ㄓㄞ1" + ], + "𠞾": [ + "ㄐㄧㄣ4" + ], + "𠞿": [ + "ㄘㄨㄟ4" + ], + "𠟂": [ + "ㄘㄥ4" + ], + "𠟃": [ + "ㄗㄨㄣ3" + ], + "𠟅": [ + "ㄓㄠ4", + "ㄖ4", + "ㄓ4" + ], + "𠟈": [ + "ㄆㄧㄝ1" + ], + "𠟉": [ + "ㄓㄢ3", + "ㄔㄢ4" + ], + "𠟊": [ + "ㄒㄧ1" + ], + "𠟋": [ + "ㄧㄠ4" + ], + "𠟌": [ + "ㄈㄨ3", + "ㄆㄡ3" + ], + "𠟍": [ + "ㄔㄨㄥ1" + ], + "𠟓": [ + "ㄘㄨㄟ4" + ], + "𠟗": [ + "ㄍㄨㄚ1" + ], + "𠟣": [ + "ㄐㄧ1" + ], + "𠟦": [ + "ㄙㄜ4" + ], + "𠟧": [ + "ㄓㄢ1" + ], + "𠟨": [ + "ㄌㄧㄥ4", + "ㄌㄧㄥ2" + ], + "𠟩": [ + "ㄙㄜ4" + ], + "𠟪": [ + "ㄧㄝ4" + ], + "𠟰": [ + "ㄐㄩ1" + ], + "𠟶": [ + "ㄊㄨ1" + ], + "𠟺": [ + "ㄖㄨ2", + "ㄖㄨㄢ3" + ], + "𠟻": [ + "ㄗㄜ2", + "ㄅㄞ4" + ], + "𠟼": [ + "ㄏㄨㄢ2" + ], + "𠠁": [ + "ㄒㄧㄢ3" + ], + "𠠃": [ + "ㄑㄧㄢ1" + ], + "𠠄": [ + "ㄓㄠ4" + ], + "𠠋": [ + "ㄘㄢ2" + ], + "𠠎": [ + "ㄎㄨㄛ4" + ], + "𠠏": [ + "ㄌㄧ4" + ], + "𠠐": [ + "ㄖㄡ2" + ], + "𠠔": [ + "ㄉㄨ2" + ], + "𠠗": [ + "ㄌㄧㄝ4" + ], + "𠠜": [ + "ㄧㄥ1" + ], + "𠠝": [ + "ㄌㄧ4" + ], + "𠠠": [ + "ㄉㄨ2" + ], + "𠠢": [ + "ㄌㄧㄥ2" + ], + "𠠪": [ + "ㄨㄢ1" + ], + "𠠯": [ + "ㄉㄧㄝ2" + ], + "𠠳": [ + "ㄐㄧㄡ1" + ], + "𠠵": [ + "ㄌㄧ4" + ], + "𠠶": [ + "ㄎㄨ1" + ], + "𠠷": [ + "ㄎㄥ1" + ], + "𠠹": [ + "ㄓㄣ3" + ], + "𠡀": [ + "ㄏㄜ4" + ], + "𠡂": [ + "ㄅㄧ4", + "ㄈㄨ2" + ], + "𠡄": [ + "ㄆㄧ1" + ], + "𠡊": [ + "ㄏㄤ1" + ], + "𠡑": [ + "ㄓㄨㄛ2" + ], + "𠡒": [ + "ㄉㄨㄟ3" + ], + "𠡔": [ + "ㄧ4" + ], + "𠡜": [ + "ㄎㄜ4" + ], + "𠡝": [ + "ㄧ4" + ], + "𠡞": [ + "ㄇㄛ4" + ], + "𠡡": [ + "ㄘㄢ2" + ], + "𠡣": [ + "ㄍㄥ3" + ], + "𠡤": [ + "ㄎㄜ4" + ], + "𠡥": [ + "ㄕ4" + ], + "𠡭": [ + "ㄌㄧㄥ2", + "ㄌㄧㄥ4" + ], + "𠡮": [ + "ㄅㄥ1", + "ㄎㄥ1" + ], + "𠡱": [ + "ㄉㄨㄢ4" + ], + "𠡶": [ + "ㄐㄩㄢ1" + ], + "𠡷": [ + "ㄋㄠ3" + ], + "𠡸": [ + "ㄗ3" + ], + "𠡻": [ + "ㄗㄨㄥ4" + ], + "𠢃": [ + "ㄊㄤ2" + ], + "𠢆": [ + "ㄒㄧㄚ2" + ], + "𠢇": [ + "ㄏㄢ4" + ], + "𠢌": [ + "ㄌㄩㄝ4" + ], + "𠢍": [ + "ㄑㄧㄢ2" + ], + "𠢓": [ + "ㄇㄛ4" + ], + "𠢔": [ + "ㄡ1" + ], + "𠢕": [ + "ㄏㄠ2" + ], + "𠢙": [ + "ㄓㄚ2" + ], + "𠢚": [ + "ㄐㄩㄢ4" + ], + "𠢛": [ + "ㄘㄨㄥ2" + ], + "𠢠": [ + "ㄌㄧ4", + "ㄐㄧ2" + ], + "𠢡": [ + "ㄓㄚ2" + ], + "𠢢": [ + "ㄧㄡ3" + ], + "𠢣": [ + "ㄉㄧㄢ4" + ], + "𠢤": [ + "ㄐㄩㄝ2" + ], + "𠢥": [ + "ㄅㄟ4" + ], + "𠢩": [ + "ㄧㄠ3" + ], + "𠢪": [ + "ㄆㄧㄝ1" + ], + "𠢱": [ + "ㄐㄧㄣ4" + ], + "𠢲": [ + "ㄎㄞ3", + "ㄒㄧㄝ4" + ], + "𠢳": [ + "ㄙㄜ4" + ], + "𠢴": [ + "ㄧㄤ3" + ], + "𠢵": [ + "ㄐㄧㄣ4" + ], + "𠢹": [ + "ㄎㄜ4" + ], + "𠣄": [ + "ㄔㄢ1" + ], + "𠣇": [ + "ㄋㄧㄢ3" + ], + "𠣉": [ + "ㄨㄢ4" + ], + "𠣊": [ + "ㄌㄩ4" + ], + "𠣐": [ + "ㄩㄣ2" + ], + "𠣑": [ + "ㄧㄠ1" + ], + "𠣒": [ + "ㄅㄠ1" + ], + "𠣕": [ + "ㄐㄩㄣ1" + ], + "𠣖": [ + "ㄒㄩㄢ2" + ], + "𠣘": [ + "ㄓㄡ1" + ], + "𠣠": [ + "ㄎㄨㄟ4" + ], + "𠣡": [ + "ㄈㄥ4" + ], + "𠣪": [ + "ㄑㄩ2" + ], + "𠣫": [ + "ㄕㄠ4" + ], + "𠣬": [ + "ㄙㄨㄣ3" + ], + "𠣰": [ + "ㄉㄨ1" + ], + "𠣲": [ + "ㄎㄨㄞ3" + ], + "𠣳": [ + "ㄆㄠ4" + ], + "𠣺": [ + "ㄅㄠ4" + ], + "𠣾": [ + "ㄈㄨ4" + ], + "𠣿": [ + "ㄐㄧㄡ4" + ], + "𠤀": [ + "ㄖㄢ2" + ], + "𠤄": [ + "ㄐㄩ1" + ], + "𠤊": [ + "ㄑㄩㄥ2" + ], + "𠤍": [ + "ㄓㄡ1" + ], + "𠤎": [ + "ㄏㄨㄚ4" + ], + "𠤏": [ + "ㄅㄠ3" + ], + "𠤕": [ + "ㄧ2", + "ㄒㄧㄢ2" + ], + "𠤗": [ + "ㄧ2" + ], + "𠤘": [ + "ㄧ2", + "ㄧ3" + ], + "𠤝": [ + "ㄇㄠ4" + ], + "𠤦": [ + "ㄖㄨㄢ3", + "ㄖㄨ2" + ], + "𠤫": [ + "ㄘ2" + ], + "𠤮": [ + "ㄏㄢ2" + ], + "𠤰": [ + "ㄘㄨㄥ2", + "ㄒㄩㄢ2" + ], + "𠤴": [ + "ㄒㄧ4" + ], + "𠤹": [ + "ㄑㄩㄢ2" + ], + "𠤺": [ + "ㄊㄧㄠ2" + ], + "𠤼": [ + "ㄉㄧㄠ4" + ], + "𠤾": [ + "ㄏㄢ2" + ], + "𠥇": [ + "ㄧㄝ3" + ], + "𠥍": [ + "ㄜ1" + ], + "𠥎": [ + "ㄨㄟ2" + ], + "𠥐": [ + "ㄘㄤ1" + ], + "𠥑": [ + "ㄉㄧㄠ4" + ], + "𠥕": [ + "ㄜ4" + ], + "𠥖": [ + "ㄉㄧ4" + ], + "𠥘": [ + "ㄙㄨㄢ3" + ], + "𠥙": [ + "ㄑㄩㄢ2" + ], + "𠥜": [ + "ㄜ4" + ], + "𠥝": [ + "ㄡ1", + "ㄡ3" + ], + "𠥞": [ + "ㄒㄩㄢ2" + ], + "𠥢": [ + "ㄨ3" + ], + "𠥦": [ + "ㄧ4" + ], + "𠥨": [ + "ㄇㄡ2" + ], + "𠥰": [ + "ㄏㄨ1" + ], + "𠥴": [ + "ㄏㄢ2", + "ㄍㄢ1" + ], + "𠥿": [ + "ㄕ2" + ], + "𠦃": [ + "ㄙㄚ4" + ], + "𠦈": [ + "ㄅㄧ4" + ], + "𠦊": [ + "ㄏㄢ2" + ], + "𠦋": [ + "ㄐㄧㄥ4" + ], + "𠦌": [ + "ㄒㄧ4" + ], + "𠦎": [ + "ㄑㄧㄣ4" + ], + "𠦏": [ + "ㄘㄨㄛ2" + ], + "𠦐": [ + "ㄘ4" + ], + "𠦒": [ + "ㄅㄢ1" + ], + "𠦗": [ + "ㄉㄨㄟ1" + ], + "𠦜": [ + "ㄒㄧ4", + "ㄕㄨ4" + ], + "𠦧": [ + "ㄓ1" + ], + "𠦨": [ + "ㄌㄨㄢ4" + ], + "𠦪": [ + "ㄏㄨ1" + ], + "𠦫": [ + "ㄐㄧ2" + ], + "𠦬": [ + "ㄍㄨㄞ1" + ], + "𠦲": [ + "ㄆㄤ1" + ], + "𠧀": [ + "ㄓㄨ1" + ], + "𠧅": [ + "ㄅㄧ3" + ], + "𠧇": [ + "ㄩ2" + ], + "𠧒": [ + "ㄑㄧ3" + ], + "𠧕": [ + "ㄏㄜ2" + ], + "𠧖": [ + "ㄔㄨ3" + ], + "𠧙": [ + "ㄕㄠ4" + ], + "𠧚": [ + "ㄔ4" + ], + "𠧛": [ + "ㄅㄛ2" + ], + "𠧟": [ + "ㄖㄥ2", + "ㄋㄞ3" + ], + "𠧠": [ + "ㄧㄡ2" + ], + "𠧤": [ + "ㄋㄞ3" + ], + "𠧩": [ + "ㄏㄨㄟ4", + "ㄏㄨㄟ3" + ], + "𠧪": [ + "ㄊㄧㄠ2", + "ㄧㄡ3" + ], + "𠧫": [ + "ㄅㄢ3" + ], + "𠧰": [ + "ㄒㄩ1" + ], + "𠧴": [ + "ㄧㄡ2", + "ㄧㄡ4" + ], + "𠧵": [ + "ㄔ4" + ], + "𠧿": [ + "ㄏㄥ2" + ], + "𠨃": [ + "ㄨㄞ4" + ], + "𠨆": [ + "ㄒㄧㄝ4" + ], + "𠨊": [ + "ㄐㄩㄝ2" + ], + "𠨌": [ + "ㄙㄨㄟ1" + ], + "𠨍": [ + "ㄑㄧㄥ1" + ], + "𠨎": [ + "ㄓㄨㄢ4" + ], + "𠨕": [ + "ㄐㄧ4" + ], + "𠨘": [ + "ㄅㄧ4" + ], + "𠨚": [ + "ㄒㄧ1" + ], + "𠨠": [ + "ㄐㄧ2" + ], + "𠨢": [ + "ㄐㄩㄣ4" + ], + "𠨥": [ + "ㄌㄧㄠ2" + ], + "𠨦": [ + "ㄧㄡ1" + ], + "𠨭": [ + "ㄐㄩ2" + ], + "𠨲": [ + "ㄩㄝ4" + ], + "𠨵": [ + "ㄅㄤ4" + ], + "𠨸": [ + "ㄆㄧ2" + ], + "𠨻": [ + "ㄗㄜ4" + ], + "𠨾": [ + "ㄧ4" + ], + "𠨿": [ + "ㄉㄧ3" + ], + "𠩂": [ + "ㄑㄧㄝ4" + ], + "𠩄": [ + "ㄙㄨㄛ3" + ], + "𠩆": [ + "ㄘ4" + ], + "𠩈": [ + "ㄓㄨ4" + ], + "𠩉": [ + "ㄩㄝ4", + "ㄐㄩ2" + ], + "𠩏": [ + "ㄐㄧㄠ1" + ], + "𠩔": [ + "ㄕ2" + ], + "𠩗": [ + "ㄧ2" + ], + "𠩘": [ + "ㄒㄧㄚ2" + ], + "𠩠": [ + "ㄩㄢ2" + ], + "𠩥": [ + "ㄍㄨㄛ2" + ], + "𠩧": [ + "ㄎㄜ4" + ], + "𠩪": [ + "ㄘㄨㄟ4" + ], + "𠩫": [ + "ㄧ4" + ], + "𠩵": [ + "ㄌㄧ4" + ], + "𠩷": [ + "ㄉㄧㄢ3" + ], + "𠩺": [ + "ㄒㄧ1", + "ㄔ2" + ], + "𠩿": [ + "ㄅㄧ4" + ], + "𠪂": [ + "ㄅㄧㄢ3" + ], + "𠪃": [ + "ㄇㄟ2" + ], + "𠪄": [ + "ㄌㄧ4" + ], + "𠪇": [ + "ㄙㄡ3" + ], + "𠪐": [ + "ㄌㄧㄡ2" + ], + "𠪑": [ + "ㄍㄨㄟ4" + ], + "𠪒": [ + "ㄎㄜ4" + ], + "𠪗": [ + "ㄧ2" + ], + "𠪙": [ + "ㄒㄧ3" + ], + "𠪚": [ + "ㄧㄣ2", + "ㄢ3", + "ㄎㄢ3" + ], + "𠪟": [ + "ㄎㄜ4" + ], + "𠪣": [ + "ㄕㄜ4" + ], + "𠪧": [ + "ㄨㄛ3" + ], + "𠪮": [ + "ㄆㄧ4" + ], + "𠪶": [ + "ㄩㄝ4" + ], + "𠪷": [ + "ㄏㄨㄥ2" + ], + "𠪺": [ + "ㄌㄧ4" + ], + "𠪻": [ + "ㄈㄨ4" + ], + "𠫃": [ + "ㄐㄩㄝ2" + ], + "𠫄": [ + "ㄒㄧㄢ1" + ], + "𠫉": [ + "ㄉㄧㄢ1" + ], + "𠫌": [ + "ㄌㄧ4" + ], + "𠫓": [ + "ㄊㄨ1" + ], + "𠫘": [ + "ㄐㄧㄢ1" + ], + "𠫛": [ + "ㄅㄞ3" + ], + "𠫜": [ + "ㄉㄧ4" + ], + "𠫝": [ + "ㄓㄤ3" + ], + "𠫣": [ + "ㄩ4" + ], + "𠫨": [ + "ㄉㄨㄟ4" + ], + "𠫭": [ + "ㄘㄢ1" + ], + "𠫮": [ + "ㄊㄨ2" + ], + "𠫶": [ + "ㄊㄢ1" + ], + "𠫷": [ + "ㄐㄧ2" + ], + "𠫸": [ + "ㄑㄧ2", + "ㄓㄞ1" + ], + "𠫹": [ + "ㄕㄢ4" + ], + "𠫺": [ + "ㄋㄧㄢ2", + "ㄕ4" + ], + "𠬆": [ + "ㄍㄨㄢ4" + ], + "𠬈": [ + "ㄅㄧ3" + ], + "𠬋": [ + "ㄒㄧㄥ1", + "ㄋㄧㄢ2" + ], + "𠬓": [ + "ㄓㄣ3" + ], + "𠬙": [ + "ㄙㄚ1" + ], + "𠬛": [ + "ㄇㄛ4" + ], + "𠬝": [ + "ㄈㄨ2" + ], + "𠬢": [ + "ㄊㄠ1" + ], + "𠬣": [ + "ㄅㄤ4" + ], + "𠬪": [ + "ㄅㄧㄠ4" + ], + "𠬬": [ + "ㄒㄧ1" + ], + "𠬮": [ + "ㄐㄧㄝ2" + ], + "𠬶": [ + "ㄐㄧㄣ4" + ], + "𠬾": [ + "ㄑㄧㄢ1" + ], + "𠭈": [ + "ㄙ4" + ], + "𠭉": [ + "ㄐㄧㄥ3" + ], + "𠭋": [ + "ㄔ3" + ], + "𠭗": [ + "ㄐㄧㄥ3" + ], + "𠭥": [ + "ㄙㄨㄟ4" + ], + "𠭯": [ + "ㄓㄚ1" + ], + "𠭰": [ + "ㄌㄧ2" + ], + "𠭴": [ + "ㄓㄨㄛ1" + ], + "𠭹": [ + "ㄅㄧㄢ4" + ], + "𠭿": [ + "ㄊㄨㄣ2" + ], + "𠮃": [ + "ㄅㄧ4" + ], + "𠮆": [ + "ㄈㄟ4" + ], + "𠮊": [ + "ㄉㄜ2" + ], + "𠮌": [ + "ㄓㄨ2" + ], + "𠮑": [ + "ㄐㄩ1" + ], + "𠮙": [ + "ㄧ3" + ], + "𠮜": [ + "ㄧㄚ4", + "ㄧㄣ1" + ], + "𠮟": [ + "ㄔ4" + ], + "𠮠": [ + "ㄍㄨㄚ3", + "ㄅㄞ3" + ], + "𠮡": [ + "ㄓ3" + ], + "𠮨": [ + "ㄖㄥ2" + ], + "𠮫": [ + "ㄧㄡ1" + ], + "𠮭": [ + "ㄅㄛ2" + ], + "𠮯": [ + "ㄐㄧ3" + ], + "𠮰": [ + "ㄆㄧㄣ3" + ], + "𠮳": [ + "ㄧㄥ1" + ], + "𠮴": [ + "ㄧㄤ1" + ], + "𠮵": [ + "ㄇㄤ4" + ], + "𠮽": [ + "ㄌㄨㄥ4" + ], + "𠮾": [ + "ㄣ4", + "ㄋㄍ4" + ], + "𠮿": [ + "ㄙㄚ5", + "ㄙㄢ5" + ], + "𠯀": [ + "ㄔㄨㄢ1" + ], + "𠯂": [ + "ㄘ2" + ], + "𠯃": [ + "ㄨ3" + ], + "𠯄": [ + "ㄖㄣ4" + ], + "𠯈": [ + "ㄉㄞ4" + ], + "𠯉": [ + "ㄐㄧ2" + ], + "𠯋": [ + "ㄧ3" + ], + "𠯍": [ + "ㄖㄢ2" + ], + "𠯐": [ + "ㄏㄨㄛ4" + ], + "𠯑": [ + "ㄍㄨㄚ1" + ], + "𠯓": [ + "ㄓㄜ2" + ], + "𠯔": [ + "ㄆㄧ4" + ], + "𠯗": [ + "ㄗㄚ1" + ], + "𠯘": [ + "ㄅㄢ4" + ], + "𠯙": [ + "ㄐㄧㄝ2" + ], + "𠯜": [ + "ㄏㄡ1", + "ㄒㄩ3" + ], + "𠯟": [ + "ㄒㄧㄢ4" + ], + "𠯠": [ + "ㄏㄨㄟ1" + ], + "𠯩": [ + "ㄓㄚ1" + ], + "𠯪": [ + "ㄉㄞ1", + "ㄉㄞ3", + "ㄜ4" + ], + "𠯫": [ + "ㄍㄜ1" + ], + "𠯭": [ + "ㄆㄧ4" + ], + "𠯯": [ + "ㄆㄧㄢ4" + ], + "𠯰": [ + "ㄕ2" + ], + "𠯱": [ + "ㄌㄧㄤ3" + ], + "𠯲": [ + "ㄩㄝ4" + ], + "𠯳": [ + "ㄏㄨ4", + "ㄨㄣ3" + ], + "𠯴": [ + "ㄅㄧㄢ4" + ], + "𠯷": [ + "ㄖㄥ2" + ], + "𠯹": [ + "ㄖㄥ2" + ], + "𠰄": [ + "ㄧ1" + ], + "𠰅": [ + "ㄓ1" + ], + "𠰇": [ + "ㄐㄧㄣ1" + ], + "𠰈": [ + "ㄨㄥ1" + ], + "𠰉": [ + "ㄔㄠ1" + ], + "𠰋": [ + "ㄑㄧㄡ1" + ], + "𠰍": [ + "ㄓㄨ3", + "ㄓㄨ4" + ], + "𠰏": [ + "ㄓㄚ2" + ], + "𠰐": [ + "ㄆㄛ3" + ], + "𠰑": [ + "ㄢ4" + ], + "𠰓": [ + "ㄏㄜ2" + ], + "𠰕": [ + "ㄔㄨ1" + ], + "𠰖": [ + "ㄧㄢ2" + ], + "𠰚": [ + "ㄕ4" + ], + "𠰛": [ + "ㄏㄨ4", + "ㄍㄠ4" + ], + "𠰜": [ + "ㄜ4" + ], + "𠰴": [ + "ㄕ2" + ], + "𠰹": [ + "ㄊㄨㄛ1" + ], + "𠰺": [ + "ㄉㄞ4" + ], + "𠰻": [ + "ㄨㄞ4", + "ㄨㄞ5" + ], + "𠰼": [ + "ㄆㄛ1" + ], + "𠰽": [ + "ㄖㄨㄥ3" + ], + "𠰾": [ + "ㄐㄩ1" + ], + "𠱀": [ + "ㄅㄛ1" + ], + "𠱐": [ + "ㄩ3" + ], + "𠱑": [ + "ㄉㄡ1" + ], + "𠱓": [ + "ㄍㄨㄟ3" + ], + "𠱔": [ + "ㄕㄡ4" + ], + "𠱗": [ + "ㄙㄨㄛ1" + ], + "𠱘": [ + "ㄋㄧ4" + ], + "𠱙": [ + "ㄓㄡ1", + "ㄩ4", + "ㄐㄧ4", + "ㄘㄨ4" + ], + "𠱚": [ + "ㄌㄨㄥ4" + ], + "𠱛": [ + "ㄅㄧㄥ3" + ], + "𠱜": [ + "ㄗㄨㄣ4" + ], + "𠱝": [ + "ㄧㄝ4" + ], + "𠱞": [ + "ㄖㄢ3" + ], + "𠱠": [ + "ㄌㄧㄥ2" + ], + "𠱡": [ + "ㄙㄚ4", + "ㄕㄞ4" + ], + "𠱤": [ + "ㄌㄟ3" + ], + "𠱥": [ + "ㄜ4", + "ㄏㄨㄟ4", + "ㄗㄚ2" + ], + "𠱧": [ + "ㄓㄨㄥ4" + ], + "𠱨": [ + "ㄐㄧ3" + ], + "𠱫": [ + "ㄜ4" + ], + "𠱯": [ + "ㄗㄨㄛ4" + ], + "𠱲": [ + "ㄋㄚ4" + ], + "𠱳": [ + "ㄩㄣ3" + ], + "𠲊": [ + "ㄒㄧㄝ4" + ], + "𠲋": [ + "ㄗㄨㄟ3" + ], + "𠲌": [ + "ㄕㄨ4" + ], + "𠲍": [ + "ㄉㄧㄡ1" + ], + "𠲎": [ + "ㄈㄚ5", + "ㄈㄟ4", + "ㄈㄚ2", + "ㄨㄚ5" + ], + "𠲏": [ + "ㄖㄣ3" + ], + "𠲑": [ + "ㄅㄤ1" + ], + "𠲒": [ + "ㄏㄢ2" + ], + "𠲓": [ + "ㄏㄨㄥ2" + ], + "𠲔": [ + "ㄧ1" + ], + "𠲖": [ + "ㄧ1" + ], + "𠲙": [ + "ㄎㄜ1" + ], + "𠲚": [ + "ㄧ4" + ], + "𠲛": [ + "ㄏㄨㄟ2" + ], + "𠲜": [ + "ㄓㄥ1" + ], + "𠲮": [ + "ㄐㄧㄥ4" + ], + "𠲱": [ + "ㄍㄜ2" + ], + "𠲴": [ + "ㄋㄡ2" + ], + "𠲵": [ + "ㄑㄧㄝ4", + "ㄐㄧㄝ2" + ], + "𠲷": [ + "ㄉㄧㄝ2" + ], + "𠲹": [ + "ㄐㄧ4" + ], + "𠲺": [ + "ㄧ4" + ], + "𠲻": [ + "ㄧ2" + ], + "𠲽": [ + "ㄈㄨ2" + ], + "𠲾": [ + "ㄕㄨㄛ4" + ], + "𠲿": [ + "ㄕㄨㄛ4" + ], + "𠳀": [ + "ㄩㄥ3" + ], + "𠳁": [ + "ㄎㄣ3" + ], + "𠳂": [ + "ㄏㄨㄚ2" + ], + "𠳃": [ + "ㄏㄨㄥ4" + ], + "𠳇": [ + "ㄏㄜ2" + ], + "𠳊": [ + "ㄏㄜ1" + ], + "𠳋": [ + "ㄑㄧㄢ3" + ], + "𠳌": [ + "ㄑㄧㄚ4" + ], + "𠳎": [ + "ㄙ4" + ], + "𠳐": [ + "ㄅㄤ1" + ], + "𠳬": [ + "ㄐㄧㄥ1" + ], + "𠳭": [ + "ㄎㄜ4" + ], + "𠳳": [ + "ㄞ1" + ], + "𠳴": [ + "ㄌㄡ2" + ], + "𠳶": [ + "ㄊㄨ1" + ], + "𠳹": [ + "ㄔㄨㄤ2" + ], + "𠳼": [ + "ㄙㄨㄥ4" + ], + "𠳽": [ + "ㄔㄥ2" + ], + "𠳿": [ + "ㄨㄟ1" + ], + "𠴂": [ + "ㄋㄨ3" + ], + "𠴄": [ + "ㄐㄧㄡ3" + ], + "𠴇": [ + "ㄅㄧㄣ1" + ], + "𠴡": [ + "ㄒㄧㄠ4" + ], + "𠴢": [ + "ㄕㄥ1" + ], + "𠴣": [ + "ㄏㄡ3" + ], + "𠴦": [ + "ㄓㄨ4" + ], + "𠴨": [ + "ㄍㄨㄢ1" + ], + "𠴩": [ + "ㄐㄧ1", + "ㄑㄧ3" + ], + "𠴫": [ + "ㄐㄧ4", + "ㄘㄨ4", + "ㄩ4", + "ㄓㄨ4" + ], + "𠴭": [ + "ㄒㄧ1" + ], + "𠴯": [ + "ㄕㄜ4" + ], + "𠴰": [ + "ㄡ3" + ], + "𠴱": [ + "ㄏㄨ2" + ], + "𠴲": [ + "ㄊㄚ4" + ], + "𠴳": [ + "ㄒㄧㄠ2" + ], + "𠴵": [ + "ㄗㄠ4" + ], + "𠴸": [ + "ㄅㄛ4" + ], + "𠴹": [ + "ㄑㄧ4" + ], + "𠴺": [ + "ㄨㄚ1" + ], + "𠴻": [ + "ㄊㄨㄛ1" + ], + "𠴼": [ + "ㄉㄠ4" + ], + "𠴾": [ + "ㄋㄚ4" + ], + "𠵠": [ + "ㄓㄞ1" + ], + "𠵣": [ + "ㄧㄚ4" + ], + "𠵦": [ + "ㄨ3" + ], + "𠵧": [ + "ㄓㄣ2", + "ㄔㄨㄣ2" + ], + "𠵨": [ + "ㄉㄜ5" + ], + "𠵩": [ + "ㄏㄜ1" + ], + "𠵫": [ + "ㄤ1" + ], + "𠵬": [ + "ㄆㄧ2" + ], + "𠵭": [ + "ㄙㄜ4" + ], + "𠵮": [ + "ㄈㄣ3" + ], + "𠵯": [ + "ㄍㄨㄚ1" + ], + "𠵳": [ + "ㄆㄛ3" + ], + "𠵷": [ + "ㄒㄩㄢ4" + ], + "𠵸": [ + "ㄏㄢ1", + "ㄇㄧ2" + ], + "𠵹": [ + "ㄍㄤ1" + ], + "𠵺": [ + "ㄅㄚ1" + ], + "𠵻": [ + "ㄗㄨㄥ1" + ], + "𠵼": [ + "ㄇㄥ4" + ], + "𠵾": [ + "ㄏㄨㄛ4" + ], + "𠶧": [ + "ㄉㄧㄢ1" + ], + "𠶨": [ + "ㄒㄧ1" + ], + "𠶫": [ + "ㄉㄚ4" + ], + "𠶬": [ + "ㄋㄤ4" + ], + "𠶰": [ + "ㄉㄧㄠ1" + ], + "𠶱": [ + "ㄌㄨㄛ4" + ], + "𠶲": [ + "ㄎㄜ4" + ], + "𠶷": [ + "ㄧ4" + ], + "𠶸": [ + "ㄐㄩㄝ2" + ], + "𠶹": [ + "ㄏㄜ2" + ], + "𠶻": [ + "ㄐㄧ2" + ], + "𠶾": [ + "ㄏㄜ4" + ], + "𠶿": [ + "ㄋㄧㄝ4", + "ㄗㄚ2" + ], + "𠷀": [ + "ㄖㄨㄣ3" + ], + "𠷁": [ + "ㄑㄧㄢ2", + "ㄐㄧㄢ1" + ], + "𠷂": [ + "ㄉㄞ4" + ], + "𠷃": [ + "ㄕㄠ1", + "ㄙㄨ4", + "ㄕㄡ4" + ], + "𠷄": [ + "ㄎㄜ4" + ], + "𠷅": [ + "ㄓㄨ2" + ], + "𠷇": [ + "ㄕ1" + ], + "𠷈": [ + "ㄌㄩ4", + "ㄌㄧㄝ4" + ], + "𠷉": [ + "ㄐㄧㄚ1" + ], + "𠷊": [ + "ㄆㄧㄢ2" + ], + "𠷋": [ + "ㄏㄡ4" + ], + "𠷌": [ + "ㄐㄧ1", + "ㄗㄜ2" + ], + "𠷍": [ + "ㄊㄚ4" + ], + "𠷎": [ + "ㄔㄡ2", + "ㄕㄡ4" + ], + "𠷏": [ + "ㄨㄛ1" + ], + "𠷐": [ + "ㄐㄧㄥ4", + "ㄐㄧㄤ4" + ], + "𠷑": [ + "ㄆㄛ1" + ], + "𠷒": [ + "ㄓㄞ1" + ], + "𠷓": [ + "ㄒㄧㄣ1" + ], + "𠷖": [ + "ㄅㄧㄢ4" + ], + "𠷙": [ + "ㄒㄩ4" + ], + "𠷞": [ + "ㄍㄨ1" + ], + "𠷟": [ + "ㄐㄧㄝ4" + ], + "𠷢": [ + "ㄒㄧㄢ2" + ], + "𠷸": [ + "ㄜ2", + "ㄩㄥ2" + ], + "𠷺": [ + "ㄅㄛ2" + ], + "𠷻": [ + "ㄆㄧㄠ1" + ], + "𠷿": [ + "ㄗㄚ3" + ], + "𠸁": [ + "ㄆㄞ4" + ], + "𠸂": [ + "ㄊㄨ1" + ], + "𠸄": [ + "ㄧㄥ1" + ], + "𠸮": [ + "ㄒㄧㄤ3" + ], + "𠸱": [ + "ㄋㄨㄛ4" + ], + "𠸲": [ + "ㄍㄜ1" + ], + "𠸳": [ + "ㄅㄛ2" + ], + "𠸴": [ + "ㄒㄧㄝ4" + ], + "𠸸": [ + "ㄓㄣ1", + "ㄔㄨㄣ2" + ], + "𠸹": [ + "ㄩ2" + ], + "𠸺": [ + "ㄋㄧ4" + ], + "𠹀": [ + "ㄒㄩㄣ4" + ], + "𠹁": [ + "ㄨㄚ4" + ], + "𠹃": [ + "ㄤ4" + ], + "𠹄": [ + "ㄏㄢ4" + ], + "𠹅": [ + "ㄏㄨㄥ1" + ], + "𠹆": [ + "ㄉㄢ1" + ], + "𠹈": [ + "ㄋㄨㄛ2" + ], + "𠹊": [ + "ㄘㄠ3" + ], + "𠹋": [ + "ㄐㄧ2" + ], + "𠹌": [ + "ㄋㄥ3" + ], + "𠹍": [ + "ㄩㄥ3", + "ㄖㄨㄥ2" + ], + "𠹎": [ + "ㄒㄧㄠ1" + ], + "𠹐": [ + "ㄔㄨㄚ3" + ], + "𠹑": [ + "ㄧㄠ4" + ], + "𠹓": [ + "ㄍㄜ2" + ], + "𠹔": [ + "ㄊㄤ2" + ], + "𠹕": [ + "ㄅㄠ4" + ], + "𠹖": [ + "ㄔㄢ3" + ], + "𠹘": [ + "ㄒㄩ4" + ], + "𠹛": [ + "ㄏㄞ2" + ], + "𠹝": [ + "ㄔㄡ2" + ], + "𠹟": [ + "ㄐㄧㄢ3" + ], + "𠹠": [ + "ㄗㄨㄛ1" + ], + "𠹤": [ + "ㄨㄟ4" + ], + "𠹥": [ + "ㄉㄚ1" + ], + "𠹦": [ + "ㄆㄧ1" + ], + "𠺐": [ + "ㄏㄨㄢ4" + ], + "𠺒": [ + "ㄒㄧ1" + ], + "𠺔": [ + "ㄆㄣ4" + ], + "𠺕": [ + "ㄌㄧㄡ1", + "ㄌㄧㄠ2" + ], + "𠺖": [ + "ㄇㄨ3", + "ㄧㄥ1" + ], + "𠺗": [ + "ㄇㄧㄝ1" + ], + "𠺘": [ + "ㄌㄤ4" + ], + "𠺙": [ + "ㄊㄨㄟ4" + ], + "𠺚": [ + "ㄅㄢ1" + ], + "𠺝": [ + "ㄍㄜ1" + ], + "𠺟": [ + "ㄎㄨ4" + ], + "𠺢": [ + "ㄐㄧㄚ1" + ], + "𠺣": [ + "ㄅㄛ1" + ], + "𠻍": [ + "ㄏㄨㄢ4" + ], + "𠻏": [ + "ㄗㄨ2" + ], + "𠻐": [ + "ㄌㄨㄛ4" + ], + "𠻗": [ + "ㄌㄧ2" + ], + "𠻙": [ + "ㄏㄜ2" + ], + "𠻚": [ + "ㄇㄛ2" + ], + "𠻜": [ + "ㄕㄨㄟ4", + "ㄌㄩ4", + "ㄙㄨ1" + ], + "𠻝": [ + "ㄕㄣ1" + ], + "𠻞": [ + "ㄎㄤ3" + ], + "𠻟": [ + "ㄔ4" + ], + "𠻠": [ + "ㄌㄧㄥ2" + ], + "𠻡": [ + "ㄌㄨㄛ3" + ], + "𠻤": [ + "ㄧㄢ3" + ], + "𠻥": [ + "ㄓㄠ4" + ], + "𠻦": [ + "ㄔㄨㄚ3" + ], + "𠻧": [ + "ㄍㄨ3" + ], + "𠻨": [ + "ㄑㄧㄣ3" + ], + "𠻪": [ + "ㄊㄢ2" + ], + "𠻫": [ + "ㄈㄣ4" + ], + "𠻬": [ + "ㄊㄨ2" + ], + "𠻱": [ + "ㄌㄧㄥ2" + ], + "𠻴": [ + "ㄌㄤ3" + ], + "𠼖": [ + "ㄌㄢ2" + ], + "𠼗": [ + "ㄗㄢ4" + ], + "𠼘": [ + "ㄨ4" + ], + "𠼝": [ + "ㄌㄧ2" + ], + "𠼞": [ + "ㄚ1" + ], + "𠼟": [ + "ㄌㄩㄝ4" + ], + "𠼠": [ + "ㄓ3" + ], + "𠼡": [ + "ㄔㄡ2" + ], + "𠼢": [ + "ㄐㄧㄤ4", + "ㄑㄧㄤ4" + ], + "𠼤": [ + "ㄐㄧㄢ1" + ], + "𠼩": [ + "ㄌㄨㄣ2" + ], + "𠼪": [ + "ㄧ2" + ], + "𠼬": [ + "ㄕㄤ1" + ], + "𠼻": [ + "ㄐㄧ1" + ], + "𠽜": [ + "ㄧ4" + ], + "𠽝": [ + "ㄋㄧㄣ2" + ], + "𠽡": [ + "ㄏㄨㄟ4" + ], + "𠽣": [ + "ㄓㄚ1" + ], + "𠽦": [ + "ㄏㄢ3" + ], + "𠽨": [ + "ㄧㄣ3" + ], + "𠽩": [ + "ㄅㄧ4" + ], + "𠽪": [ + "ㄢ1" + ], + "𠽫": [ + "ㄒㄧㄚ1", + "ㄒㄧㄚ3" + ], + "𠽬": [ + "ㄋㄧ2" + ], + "𠽰": [ + "ㄉㄧ1" + ], + "𠽱": [ + "ㄐㄧㄢ3" + ], + "𠽲": [ + "ㄆㄢ2" + ], + "𠽵": [ + "ㄩ4" + ], + "𠽶": [ + "ㄔㄨㄞ4", + "ㄘㄨㄟ4", + "ㄔㄨㄛ4" + ], + "𠽷": [ + "ㄗㄚ1" + ], + "𠽹": [ + "ㄔㄚ2" + ], + "𠽻": [ + "ㄓㄜ2" + ], + "𠽼": [ + "ㄙㄜ4" + ], + "𠽾": [ + "ㄆㄣ1", + "ㄆㄨ3" + ], + "𠽿": [ + "ㄍㄨ1" + ], + "𠾀": [ + "ㄓㄜ2" + ], + "𠾆": [ + "ㄌㄧ2" + ], + "𠾇": [ + "ㄉㄡ1" + ], + "𠾉": [ + "ㄔㄡ2" + ], + "𠾋": [ + "ㄗㄨㄟ3" + ], + "𠾌": [ + "ㄆㄛ4" + ], + "𠾏": [ + "ㄕㄜ1" + ], + "𠾐": [ + "ㄌㄨㄥ2" + ], + "𠾢": [ + "ㄕㄨ4" + ], + "𠾤": [ + "ㄐㄧㄣ4" + ], + "𠾥": [ + "ㄌㄧㄥ2" + ], + "𠾨": [ + "ㄎㄤ1" + ], + "𠾩": [ + "ㄌㄚ4" + ], + "𠾫": [ + "ㄒㄩ1" + ], + "𠾬": [ + "ㄐㄧㄣ4" + ], + "𠾮": [ + "ㄔㄨㄢ1" + ], + "𠾲": [ + "ㄩㄝ4" + ], + "𠿆": [ + "ㄇㄞ3" + ], + "𠿇": [ + "ㄒㄧㄝ4" + ], + "𠿈": [ + "ㄐㄧㄡ1" + ], + "𠿉": [ + "ㄐㄧ4" + ], + "𠿋": [ + "ㄩㄝ4" + ], + "𠿏": [ + "ㄐㄧㄢ1" + ], + "𠿑": [ + "ㄏㄢ2", + "ㄍㄢ3", + "ㄢ3", + "ㄏㄢ3" + ], + "𠿓": [ + "ㄙㄚ4" + ], + "𠿔": [ + "ㄏㄨㄟ4" + ], + "𠿕": [ + "ㄑㄧㄠ4" + ], + "𠿗": [ + "ㄙㄜ4" + ], + "𠿘": [ + "ㄗㄨㄟ3" + ], + "𠿛": [ + "ㄌㄨ3" + ], + "𠿜": [ + "ㄏㄨㄚ4" + ], + "𠿝": [ + "ㄔㄨ1" + ], + "𠿞": [ + "ㄕㄢ3" + ], + "𠿟": [ + "ㄨㄛ4" + ], + "𠿠": [ + "ㄐㄧ2" + ], + "𠿡": [ + "ㄓㄨㄛ2" + ], + "𠿢": [ + "ㄒㄧㄢ2", + "ㄒㄧㄢ4" + ], + "𠿣": [ + "ㄧ1" + ], + "𠿤": [ + "ㄍㄨㄛ2" + ], + "𠿥": [ + "ㄎㄨㄟ4", + "ㄍㄨㄟ4" + ], + "𡀑": [ + "ㄓㄡ1" + ], + "𡀔": [ + "ㄌㄨ4", + "ㄌㄡ5" + ], + "𡀖": [ + "ㄅㄛ1" + ], + "𡀗": [ + "ㄕ2" + ], + "𡀘": [ + "ㄧㄥ4" + ], + "𡀙": [ + "ㄎㄨ1" + ], + "𡀹": [ + "ㄓ4" + ], + "𡀺": [ + "ㄒㄧㄝ2" + ], + "𡀽": [ + "ㄧㄝ4", + "ㄏㄜ4" + ], + "𡀾": [ + "ㄜ4" + ], + "𡀿": [ + "ㄌㄩ4" + ], + "𡁀": [ + "ㄏㄢ4" + ], + "𡁁": [ + "ㄧㄝ4", + "ㄎㄞ4" + ], + "𡁆": [ + "ㄌㄨㄛ4" + ], + "𡁇": [ + "ㄔㄨㄛ4" + ], + "𡁈": [ + "ㄈㄢ4" + ], + "𡁉": [ + "ㄓ2" + ], + "𡁊": [ + "ㄧㄥ4" + ], + "𡁋": [ + "ㄨㄣ3" + ], + "𡁌": [ + "ㄨㄚ1" + ], + "𡁍": [ + "ㄞ4" + ], + "𡁎": [ + "ㄩ2" + ], + "𡁑": [ + "ㄏㄨㄚ1" + ], + "𡁓": [ + "ㄌㄧㄝ4" + ], + "𡁔": [ + "ㄐㄧㄥ1" + ], + "𡁕": [ + "ㄗㄚ2" + ], + "𡁧": [ + "ㄗㄤ1" + ], + "𡁨": [ + "ㄉㄨㄟ4" + ], + "𡁪": [ + "ㄐㄧ4" + ], + "𡁮": [ + "ㄨㄛ1" + ], + "𡁰": [ + "ㄐㄧ2" + ], + "𡁱": [ + "ㄒㄧ1" + ], + "𡁳": [ + "ㄓㄢ4" + ], + "𡁴": [ + "ㄊㄨㄢ2" + ], + "𡂊": [ + "ㄩ2" + ], + "𡂏": [ + "ㄌㄧㄝ4" + ], + "𡂒": [ + "ㄓ4" + ], + "𡂓": [ + "ㄕ1" + ], + "𡂕": [ + "ㄌㄠ3" + ], + "𡂖": [ + "ㄌㄞ4", + "ㄊㄚ4" + ], + "𡂗": [ + "ㄨㄟ3" + ], + "𡂘": [ + "ㄆㄠ2" + ], + "𡂙": [ + "ㄔ2" + ], + "𡂚": [ + "ㄧㄥ3" + ], + "𡂛": [ + "ㄉㄡ4" + ], + "𡂝": [ + "ㄉㄡ4" + ], + "𡂟": [ + "ㄅㄠ4" + ], + "𡂠": [ + "ㄑㄧㄝ4" + ], + "𡂡": [ + "ㄕㄨ4" + ], + "𡂣": [ + "ㄓ2" + ], + "𡂩": [ + "ㄌㄧㄝ4" + ], + "𡂫": [ + "ㄆㄥ2" + ], + "𡂭": [ + "ㄓㄜ1" + ], + "𡂿": [ + "ㄡ1", + "ㄡ5" + ], + "𡃂": [ + "ㄒㄧㄝ4" + ], + "𡃃": [ + "ㄐㄧ2" + ], + "𡃄": [ + "ㄌㄞ4" + ], + "𡃅": [ + "ㄧㄥ2" + ], + "𡃆": [ + "ㄘㄥ1" + ], + "𡃖": [ + "ㄌㄜ1" + ], + "𡃝": [ + "ㄌㄨㄣ4" + ], + "𡃡": [ + "ㄌㄨㄥ2" + ], + "𡃢": [ + "ㄒㄧ4" + ], + "𡃦": [ + "ㄌㄧㄣ4" + ], + "𡃩": [ + "ㄍㄨㄟ1" + ], + "𡃳": [ + "ㄒㄧㄥ1" + ], + "𡃷": [ + "ㄌㄧ2" + ], + "𡃸": [ + "ㄘ1" + ], + "𡄇": [ + "ㄑㄧㄥ3" + ], + "𡄑": [ + "ㄐㄧㄢ1" + ], + "𡄒": [ + "ㄉㄠ4" + ], + "𡄓": [ + "ㄐㄧㄢ3" + ], + "𡄔": [ + "ㄑㄧㄥ4" + ], + "𡄕": [ + "ㄒㄧㄝ4" + ], + "𡄖": [ + "ㄧㄥ4" + ], + "𡄟": [ + "ㄏㄚ2" + ], + "𡄡": [ + "ㄓㄜ5" + ], + "𡄢": [ + "ㄕㄜ1" + ], + "𡄣": [ + "ㄇㄧ2" + ], + "𡄤": [ + "ㄏㄨㄢ2" + ], + "𡄱": [ + "ㄘㄨ4" + ], + "𡄲": [ + "ㄖㄨ2" + ], + "𡄳": [ + "ㄙㄚ3" + ], + "𡄴": [ + "ㄏㄨㄛ4" + ], + "𡄵": [ + "ㄧ1" + ], + "𡄷": [ + "ㄉㄧ1" + ], + "𡄹": [ + "ㄌㄨㄢ4" + ], + "𡄻": [ + "ㄧ4" + ], + "𡅂": [ + "ㄅㄛ4" + ], + "𡅃": [ + "ㄆㄤ2" + ], + "𡅄": [ + "ㄊㄢ2" + ], + "𡅅": [ + "ㄜ2", + "ㄟ2" + ], + "𡅆": [ + "ㄗㄤ1" + ], + "𡅇": [ + "ㄘㄨㄥ2" + ], + "𡅓": [ + "ㄓㄞ1" + ], + "𡅕": [ + "ㄒㄧ3" + ], + "𡅖": [ + "ㄇㄤ3" + ], + "𡅘": [ + "ㄌㄚ4" + ], + "𡅙": [ + "ㄩㄣ4" + ], + "𡅡": [ + "ㄜ4" + ], + "𡅥": [ + "ㄉㄧㄝ2" + ], + "𡅭": [ + "ㄍㄨㄢ1" + ], + "𡅱": [ + "ㄏㄨㄢ4" + ], + "𡅵": [ + "ㄕ4" + ], + "𡅶": [ + "ㄐㄧㄢ3" + ], + "𡅹": [ + "ㄓㄢ1" + ], + "𡅺": [ + "ㄐㄧ2" + ], + "𡅻": [ + "ㄏㄨㄢ4" + ], + "𡆅": [ + "ㄨㄢ4" + ], + "𡆆": [ + "ㄌㄨㄛ3" + ], + "𡆏": [ + "ㄉㄡ4" + ], + "𡆕": [ + "ㄌㄧㄢ4" + ], + "𡆣": [ + "ㄋㄧㄝ4", + "ㄉㄧ2" + ], + "𡆤": [ + "ㄋㄢ3" + ], + "𡆥": [ + "ㄐㄧㄡ4" + ], + "𡆦": [ + "ㄩㄝ4" + ], + "𡆩": [ + "ㄧㄠ1", + "ㄐㄩㄥ3" + ], + "𡆪": [ + "ㄔㄨㄤ1" + ], + "𡆮": [ + "ㄘㄢ3" + ], + "𡆯": [ + "ㄌㄧ3" + ], + "𡆰": [ + "ㄉㄨㄣ4" + ], + "𡆱": [ + "ㄋㄢ3" + ], + "𡆲": [ + "ㄋㄢ3" + ], + "𡆸": [ + "ㄖ4", + "ㄍㄨㄛ2" + ], + "𡆽": [ + "ㄩㄝ4" + ], + "𡇀": [ + "ㄧㄡ2" + ], + "𡇂": [ + "ㄧㄣ1" + ], + "𡇄": [ + "ㄍㄨㄛ2", + "ㄋㄧㄝ4" + ], + "𡇈": [ + "ㄉㄤ4", + "ㄊㄨㄛ2" + ], + "𡇑": [ + "ㄓㄣ1" + ], + "𡇒": [ + "ㄇㄧ2" + ], + "𡇓": [ + "ㄉㄧㄝ2" + ], + "𡇖": [ + "ㄓㄣ1" + ], + "𡇚": [ + "ㄎㄨㄚ1" + ], + "𡇜": [ + "ㄏㄢ2" + ], + "𡇝": [ + "ㄙㄨㄥ4" + ], + "𡇞": [ + "ㄏㄜ2" + ], + "𡇟": [ + "ㄐㄧ1" + ], + "𡇠": [ + "ㄓㄜ2" + ], + "𡇤": [ + "ㄅㄧㄥ3" + ], + "𡇦": [ + "ㄨㄟ2" + ], + "𡇧": [ + "ㄊㄡ1" + ], + "𡇩": [ + "ㄊㄨ2" + ], + "𡇬": [ + "ㄍㄤ1" + ], + "𡇭": [ + "ㄌㄡ2" + ], + "𡇮": [ + "ㄑㄩㄢ2" + ], + "𡇯": [ + "ㄏㄨㄣ4" + ], + "𡇰": [ + "ㄓㄨㄢ3" + ], + "𡇱": [ + "ㄑㄩㄝ4" + ], + "𡇳": [ + "ㄏㄨㄥ2" + ], + "𡇵": [ + "ㄉㄤ4" + ], + "𡇶": [ + "ㄏㄜ2" + ], + "𡇷": [ + "ㄊㄞ4" + ], + "𡇸": [ + "ㄍㄨㄞ1" + ], + "𡇺": [ + "ㄩ4" + ], + "𡇼": [ + "ㄧㄚ4" + ], + "𡇿": [ + "ㄨㄢ1" + ], + "𡈀": [ + "ㄑㄩㄣ1" + ], + "𡈅": [ + "ㄐㄩㄝ2" + ], + "𡈆": [ + "ㄡ1" + ], + "𡈉": [ + "ㄑㄩㄢ1" + ], + "𡈊": [ + "ㄓ2" + ], + "𡈍": [ + "ㄌㄧㄥ2" + ], + "𡈎": [ + "ㄨ1", + "ㄖ4" + ], + "𡈏": [ + "ㄒㄧㄣ4" + ], + "𡈐": [ + "ㄉㄚ2" + ], + "𡈒": [ + "ㄩㄢ1" + ], + "𡈓": [ + "ㄩㄢ4" + ], + "𡈗": [ + "ㄇㄛ4" + ], + "𡈙": [ + "ㄧㄡ2" + ], + "𡈞": [ + "ㄨ3" + ], + "𡈠": [ + "ㄓㄤ1" + ], + "𡈣": [ + "ㄒㄩㄢ1" + ], + "𡈦": [ + "ㄖㄠ3" + ], + "𡈧": [ + "ㄍㄨㄣ3" + ], + "𡈨": [ + "ㄩ4" + ], + "𡈮": [ + "ㄒㄧㄚ2" + ], + "𡈯": [ + "ㄅㄧㄢ3" + ], + "𡈰": [ + "ㄧㄡ2" + ], + "𡈲": [ + "ㄧㄣ1" + ], + "𡈴": [ + "ㄒㄩㄢ2", + "ㄖㄨ3" + ], + "𡈵": [ + "ㄧㄡ2" + ], + "𡈶": [ + "ㄌㄟ2" + ], + "𡈼": [ + "ㄊㄧㄥ3", + "ㄊㄧㄥ2", + "ㄓㄥ1", + "ㄓ3" + ], + "𡈿": [ + "ㄓㄣ1" + ], + "𡉄": [ + "ㄗㄞ4", + "ㄎㄨ1" + ], + "𡉅": [ + "ㄍㄚ1" + ], + "𡉆": [ + "ㄌㄚ2" + ], + "𡉉": [ + "ㄑㄩㄝ4" + ], + "𡉎": [ + "ㄐㄩ2" + ], + "𡉐": [ + "ㄔㄨㄣ1" + ], + "𡉑": [ + "ㄉㄚ1" + ], + "𡉒": [ + "ㄊㄨㄣ2" + ], + "𡉓": [ + "ㄞ1" + ], + "𡉗": [ + "ㄗ3" + ], + "𡉚": [ + "ㄏㄨㄤ2", + "ㄈㄥ1" + ], + "𡉛": [ + "ㄧ4" + ], + "𡉩": [ + "ㄅㄠ4" + ], + "𡉪": [ + "ㄔ2" + ], + "𡉭": [ + "ㄖ4" + ], + "𡉴": [ + "ㄌㄨ2", + "ㄏㄨ4" + ], + "𡉷": [ + "ㄐㄧㄝ2" + ], + "𡉸": [ + "ㄕ4" + ], + "𡉺": [ + "ㄗㄨㄢ1" + ], + "𡊁": [ + "ㄧ4" + ], + "𡊄": [ + "ㄈㄣ4" + ], + "𡊅": [ + "ㄈㄣ4", + "ㄅㄧㄢ4" + ], + "𡊉": [ + "ㄇㄛ4" + ], + "𡊍": [ + "ㄕㄨ4" + ], + "𡊛": [ + "ㄠ2" + ], + "𡊝": [ + "ㄆㄧ3" + ], + "𡊞": [ + "ㄆㄧㄥ2", + "ㄆㄧㄥ4" + ], + "𡊟": [ + "ㄆㄛ1" + ], + "𡊠": [ + "ㄐㄧㄚ2" + ], + "𡊡": [ + "ㄓㄡ2" + ], + "𡊣": [ + "ㄑㄧㄡ1" + ], + "𡊧": [ + "ㄧㄡ3" + ], + "𡊨": [ + "ㄊㄢ2" + ], + "𡊫": [ + "ㄖㄨㄥ3" + ], + "𡊭": [ + "ㄇㄧ4" + ], + "𡊶": [ + "ㄧ4" + ], + "𡊸": [ + "ㄖㄨㄥ3" + ], + "𡊻": [ + "ㄌㄧㄝ4" + ], + "𡊼": [ + "ㄑㄩㄥ2" + ], + "𡋙": [ + "ㄏㄨㄟ2" + ], + "𡋚": [ + "ㄐㄧ4" + ], + "𡋟": [ + "ㄍㄠ4" + ], + "𡋧": [ + "ㄧㄡ2" + ], + "𡋨": [ + "ㄔㄚ1" + ], + "𡋩": [ + "ㄉㄜ2" + ], + "𡋪": [ + "ㄧㄣ1" + ], + "𡋬": [ + "ㄩ4" + ], + "𡋭": [ + "ㄅㄟ4" + ], + "𡋯": [ + "ㄅㄛ2" + ], + "𡌔": [ + "ㄑㄧㄠ1" + ], + "𡌚": [ + "ㄔㄚ3" + ], + "𡌜": [ + "ㄒㄧㄣ1" + ], + "𡌞": [ + "ㄔ2" + ], + "𡌣": [ + "ㄗㄠ4" + ], + "𡌤": [ + "ㄎㄨㄟ2" + ], + "𡌦": [ + "ㄈㄟ4" + ], + "𡌩": [ + "ㄊㄚ1", + "ㄉㄚ2" + ], + "𡌪": [ + "ㄍㄨㄞ4" + ], + "𡌭": [ + "ㄉㄨㄛ1" + ], + "𡌲": [ + "ㄍㄨㄟ1" + ], + "𡌴": [ + "ㄓ2" + ], + "𡍌": [ + "ㄔㄢ3" + ], + "𡍍": [ + "ㄋㄠ3" + ], + "𡍐": [ + "ㄏㄨ2" + ], + "𡍒": [ + "ㄊㄠ2" + ], + "𡍡": [ + "ㄧ4" + ], + "𡍤": [ + "ㄋㄧㄝ4" + ], + "𡍥": [ + "ㄓㄞ4" + ], + "𡍦": [ + "ㄏㄨㄢ2" + ], + "𡍨": [ + "ㄉㄨ4" + ], + "𡍪": [ + "ㄑㄧ4" + ], + "𡍫": [ + "ㄘㄜ4" + ], + "𡍮": [ + "ㄔㄨㄟ2" + ], + "𡍲": [ + "ㄉㄚ1" + ], + "𡍶": [ + "ㄓ4" + ], + "𡍷": [ + "ㄍㄥ4" + ], + "𡍻": [ + "ㄨㄥ4" + ], + "𡎉": [ + "ㄉㄨ4" + ], + "𡎍": [ + "ㄔ2" + ], + "𡎑": [ + "ㄢ4" + ], + "𡎒": [ + "ㄎㄨㄛ4" + ], + "𡎔": [ + "ㄨㄛ4" + ], + "𡎘": [ + "ㄧㄥ1" + ], + "𡎚": [ + "ㄆㄧㄢ3" + ], + "𡎫": [ + "ㄓㄚ2", + "ㄑㄧ4" + ], + "𡎬": [ + "ㄓㄨㄚ3" + ], + "𡎮": [ + "ㄙㄨ4" + ], + "𡎳": [ + "ㄋㄧ4" + ], + "𡎺": [ + "ㄓㄨ2" + ], + "𡎻": [ + "ㄔㄢ2" + ], + "𡎾": [ + "ㄅㄥ4" + ], + "𡎿": [ + "ㄋㄧ2" + ], + "𡏀": [ + "ㄓ2" + ], + "𡏁": [ + "ㄏㄨㄟ4" + ], + "𡏘": [ + "ㄒㄧㄚ4" + ], + "𡏚": [ + "ㄓ4" + ], + "𡏛": [ + "ㄒㄧ1" + ], + "𡏞": [ + "ㄐㄧㄤ3" + ], + "𡏩": [ + "ㄉㄨㄟ1" + ], + "𡏪": [ + "ㄈㄨ1" + ], + "𡏭": [ + "ㄐㄧㄠ1" + ], + "𡏮": [ + "ㄔㄠ2" + ], + "𡏯": [ + "ㄅㄞ4" + ], + "𡏵": [ + "ㄌㄧㄝ4" + ], + "𡏼": [ + "ㄠ2" + ], + "𡐋": [ + "ㄗㄠ1" + ], + "𡐌": [ + "ㄔㄨ4" + ], + "𡐏": [ + "ㄊㄨㄛ3" + ], + "𡐒": [ + "ㄏㄠ2", + "ㄏㄠ4" + ], + "𡐓": [ + "ㄎㄤ1" + ], + "𡐔": [ + "ㄧㄣ2" + ], + "𡐖": [ + "ㄒㄧㄢ4" + ], + "𡐝": [ + "ㄈㄨ2", + "ㄈㄨ4" + ], + "𡐞": [ + "ㄅㄧㄝ1" + ], + "𡐠": [ + "ㄎㄨㄟ1" + ], + "𡐤": [ + "ㄑㄧㄝ4" + ], + "𡐥": [ + "ㄙㄚ4" + ], + "𡐿": [ + "ㄉㄚ1", + "ㄉㄚ5" + ], + "𡑀": [ + "ㄧㄝ3", + "ㄕㄨ4" + ], + "𡑄": [ + "ㄓㄤ3" + ], + "𡑆": [ + "ㄌㄧㄤ2" + ], + "𡑈": [ + "ㄉㄨㄟ3" + ], + "𡑍": [ + "ㄌㄠ2" + ], + "𡑎": [ + "ㄒㄩㄣ1" + ], + "𡑘": [ + "ㄓ4" + ], + "𡑚": [ + "ㄎㄨ1" + ], + "𡑞": [ + "ㄙㄨㄟ4" + ], + "𡑟": [ + "ㄨㄛ1" + ], + "𡑣": [ + "ㄎㄨ1" + ], + "𡑯": [ + "ㄐㄧㄢ3" + ], + "𡑶": [ + "ㄐㄧㄤ3" + ], + "𡑻": [ + "ㄓㄨㄟ4" + ], + "𡑽": [ + "ㄕㄨㄤ3" + ], + "𡑾": [ + "ㄩ2" + ], + "𡒁": [ + "ㄙㄚ4" + ], + "𡒃": [ + "ㄩ4", + "ㄠ4" + ], + "𡒄": [ + "ㄌㄢ3" + ], + "𡒊": [ + "ㄩ4" + ], + "𡒌": [ + "ㄑㄧㄢ3" + ], + "𡒍": [ + "ㄐㄩ4" + ], + "𡒏": [ + "ㄌㄧㄝ4" + ], + "𡒒": [ + "ㄕㄨ2" + ], + "𡒓": [ + "ㄒㄧㄢ4" + ], + "𡒖": [ + "ㄍㄞ4" + ], + "𡒢": [ + "ㄊㄞ2" + ], + "𡒧": [ + "ㄊㄧㄢ3" + ], + "𡒯": [ + "ㄇㄥ4" + ], + "𡒱": [ + "ㄉㄧ2" + ], + "𡒳": [ + "ㄇㄧㄢ2" + ], + "𡒾": [ + "ㄏㄨㄟ1", + "ㄎㄨㄟ4" + ], + "𡓉": [ + "ㄉㄨㄛ4" + ], + "𡓍": [ + "ㄌㄧㄝ4" + ], + "𡓒": [ + "ㄌㄞ4" + ], + "𡓓": [ + "ㄧㄣ2", + "ㄧㄣ1" + ], + "𡓔": [ + "ㄌㄢ3" + ], + "𡓖": [ + "ㄐㄧㄠ1" + ], + "𡓘": [ + "ㄏㄨㄛ4" + ], + "𡓣": [ + "ㄍㄨㄛ1" + ], + "𡓦": [ + "ㄓㄢ4" + ], + "𡓭": [ + "ㄇㄧ3" + ], + "𡓰": [ + "ㄎㄨㄟ1" + ], + "𡓷": [ + "ㄉㄨㄛ4" + ], + "𡓿": [ + "ㄧㄣ2" + ], + "𡔇": [ + "ㄌㄟ4" + ], + "𡔕": [ + "ㄍㄨㄥ4" + ], + "𡔛": [ + "ㄊㄧㄥ3" + ], + "𡔜": [ + "ㄧㄠ2" + ], + "𡔞": [ + "ㄨㄤ3" + ], + "𡔣": [ + "ㄐㄧㄝ2", + "ㄑㄧㄝ4" + ], + "𡔨": [ + "ㄒㄧㄡ1" + ], + "𡔪": [ + "ㄕㄨ4" + ], + "𡔱": [ + "ㄨㄟ4" + ], + "𡔴": [ + "ㄩ4" + ], + "𡕁": [ + "ㄓㄢ1" + ], + "𡕉": [ + "ㄤ1" + ], + "𡕏": [ + "ㄙㄤ3" + ], + "𡕐": [ + "ㄔㄡ2" + ], + "𡕒": [ + "ㄎㄨㄚ4" + ], + "𡕖": [ + "ㄐㄩ3", + "ㄈㄥ2" + ], + "𡕗": [ + "ㄏㄞ4" + ], + "𡕢": [ + "ㄇㄧㄢ3", + "ㄇㄢ3" + ], + "𡕧": [ + "ㄏㄤ4" + ], + "𡕪": [ + "ㄔㄡ2" + ], + "𡕮": [ + "ㄌㄧㄥ2" + ], + "𡕰": [ + "ㄗㄨㄥ1" + ], + "𡖉": [ + "ㄎㄨㄣ1" + ], + "𡖌": [ + "ㄓㄨㄥ1" + ], + "𡖎": [ + "ㄓㄠ1" + ], + "𡖐": [ + "ㄉㄧㄝ3" + ], + "𡖑": [ + "ㄍㄡ3" + ], + "𡖒": [ + "ㄩㄣ2" + ], + "𡖓": [ + "ㄉㄢ1" + ], + "𡖔": [ + "ㄋㄨㄛ2", + "ㄋㄨㄛ3" + ], + "𡖛": [ + "ㄅㄧㄥ3" + ], + "𡖝": [ + "ㄖㄢ2" + ], + "𡖞": [ + "ㄔㄢ1" + ], + "𡖢": [ + "ㄖㄨㄥ3" + ], + "𡖣": [ + "ㄧㄣ1" + ], + "𡖤": [ + "ㄔㄢ1" + ], + "𡖧": [ + "ㄓ4" + ], + "𡖪": [ + "ㄍㄨㄞ4" + ], + "𡖫": [ + "ㄋㄨㄛ2" + ], + "𡖬": [ + "ㄕㄣ1" + ], + "𡖯": [ + "ㄙㄨ4" + ], + "𡖲": [ + "ㄨㄛ3" + ], + "𡖳": [ + "ㄔ3" + ], + "𡖺": [ + "ㄇㄧㄝ4" + ], + "𡖻": [ + "ㄓ2" + ], + "𡖾": [ + "ㄑㄧ1" + ], + "𡗁": [ + "ㄍㄡ1" + ], + "𡗆": [ + "ㄌㄡ3" + ], + "𡗈": [ + "ㄗ1" + ], + "𡗍": [ + "ㄉㄤ3" + ], + "𡗏": [ + "ㄒㄧㄢ3" + ], + "𡗑": [ + "ㄖㄡ3" + ], + "𡗗": [ + "ㄆㄥ3" + ], + "𡗞": [ + "ㄒㄧ1" + ], + "𡗢": [ + "ㄎㄨㄚ1", + "ㄅㄣ3" + ], + "𡗤": [ + "ㄍㄨㄟ4" + ], + "𡗥": [ + "ㄔㄨㄣ2" + ], + "𡗦": [ + "ㄐㄧㄝ4" + ], + "𡗲": [ + "ㄐㄧㄝ4", + "ㄅㄣ1" + ], + "𡗳": [ + "ㄒㄧ1" + ], + "𡗵": [ + "ㄎㄨ1" + ], + "𡗷": [ + "ㄍㄨ1" + ], + "𡗸": [ + "ㄓㄚ4", + "ㄎㄨㄚ1" + ], + "𡗹": [ + "ㄈㄢ4" + ], + "𡗼": [ + "ㄒㄧㄝ4" + ], + "𡘍": [ + "ㄏㄨㄢ2", + "ㄑㄧㄝ2" + ], + "𡘏": [ + "ㄋㄧㄠ3" + ], + "𡘐": [ + "ㄒㄧ4" + ], + "𡘛": [ + "ㄘㄨ1" + ], + "𡘝": [ + "ㄍㄨㄣ3" + ], + "𡘡": [ + "ㄒㄧ1" + ], + "𡘧": [ + "ㄑㄧㄚ2" + ], + "𡘪": [ + "ㄇㄤ1" + ], + "𡘭": [ + "ㄓㄜ2" + ], + "𡘰": [ + "ㄐㄩㄢ4" + ], + "𡘴": [ + "ㄅㄧㄝ1" + ], + "𡙀": [ + "ㄅㄧㄝ1" + ], + "𡙅": [ + "ㄑㄩㄢ2" + ], + "𡙋": [ + "ㄒㄧ4" + ], + "𡙎": [ + "ㄐㄧㄠ3", + "ㄇㄧㄠ3" + ], + "𡙐": [ + "ㄑㄩㄢ2" + ], + "𡙑": [ + "ㄓ3" + ], + "𡙒": [ + "ㄊㄧㄢ1" + ], + "𡙓": [ + "ㄎㄞ1" + ], + "𡙘": [ + "ㄙㄢ3", + "ㄧ4" + ], + "𡙛": [ + "ㄗ1" + ], + "𡙣": [ + "ㄐㄧㄝ2" + ], + "𡙪": [ + "ㄅㄧㄝ2" + ], + "𡙬": [ + "ㄉㄡ4" + ], + "𡙭": [ + "ㄗㄨㄟ1" + ], + "𡙶": [ + "ㄧㄢ3" + ], + "𡚁": [ + "ㄅㄧ4" + ], + "𡚅": [ + "ㄎㄨㄞ3" + ], + "𡚇": [ + "ㄧㄢ4" + ], + "𡚈": [ + "ㄨㄟ2" + ], + "𡚊": [ + "ㄏㄨㄢ1" + ], + "𡚌": [ + "ㄏㄠ4" + ], + "𡚑": [ + "ㄍㄨㄥ1" + ], + "𡚔": [ + "ㄇㄥ2" + ], + "𡚗": [ + "ㄌㄟ3" + ], + "𡚙": [ + "ㄉㄧ4" + ], + "𡚛": [ + "ㄅㄧㄥ3" + ], + "𡚜": [ + "ㄏㄨㄢ1", + "ㄎㄢ4" + ], + "𡚟": [ + "ㄨㄚ1" + ], + "𡚠": [ + "ㄐㄩㄝ2" + ], + "𡚨": [ + "ㄔ4" + ], + "𡚭": [ + "ㄅㄚ1" + ], + "𡚮": [ + "ㄐㄧㄡ3" + ], + "𡚷": [ + "ㄉㄧ4" + ], + "𡚹": [ + "ㄓㄤ4" + ], + "𡚻": [ + "ㄉㄚ4" + ], + "𡚼": [ + "ㄕ2" + ], + "𡚽": [ + "ㄏㄠ4" + ], + "𡛌": [ + "ㄧㄝ4" + ], + "𡛗": [ + "ㄅㄧ4" + ], + "𡛘": [ + "ㄆㄧ3" + ], + "𡛙": [ + "ㄧㄠ3", + "ㄧㄠ1" + ], + "𡛜": [ + "ㄉㄧ1" + ], + "𡛝": [ + "ㄘㄢ4" + ], + "𡛞": [ + "ㄆㄧㄣ2" + ], + "𡛟": [ + "ㄩㄝ4" + ], + "𡛠": [ + "ㄑㄧㄝ1" + ], + "𡛡": [ + "ㄆㄧ1" + ], + "𡛵": [ + "ㄊㄨㄛ3" + ], + "𡛶": [ + "ㄒㄧㄝ4" + ], + "𡛽": [ + "ㄧㄝ4" + ], + "𡜀": [ + "ㄈㄢ4" + ], + "𡜁": [ + "ㄍㄨㄚ1" + ], + "𡜂": [ + "ㄏㄨ4" + ], + "𡜃": [ + "ㄖㄨ3" + ], + "𡜉": [ + "ㄖㄢ3", + "ㄖㄢ4" + ], + "𡜊": [ + "ㄈㄡ3" + ], + "𡜋": [ + "ㄏㄨㄤ1" + ], + "𡜚": [ + "ㄖㄨ2" + ], + "𡜢": [ + "ㄇㄠ3" + ], + "𡜥": [ + "ㄉㄨㄟ1" + ], + "𡜦": [ + "ㄏㄨㄟ4" + ], + "𡜧": [ + "ㄒㄧ4" + ], + "𡜨": [ + "ㄒㄧㄡ1" + ], + "𡜫": [ + "ㄖㄢ3" + ], + "𡜬": [ + "ㄧ1" + ], + "𡜯": [ + "ㄓㄜ2" + ], + "𡜱": [ + "ㄐㄧ4" + ], + "𡜲": [ + "ㄍㄠ4" + ], + "𡜳": [ + "ㄧㄡ4" + ], + "𡜵": [ + "ㄆㄨ1" + ], + "𡝈": [ + "ㄔㄨ4" + ], + "𡝉": [ + "ㄘㄨ1" + ], + "𡝊": [ + "ㄓㄜ2" + ], + "𡝋": [ + "ㄋㄧㄠ3" + ], + "𡝍": [ + "ㄑㄧㄝ4" + ], + "𡝐": [ + "ㄔㄚ2" + ], + "𡝒": [ + "ㄋㄧㄠ3" + ], + "𡝓": [ + "ㄙㄨㄟ1" + ], + "𡝙": [ + "ㄔㄚ2" + ], + "𡝚": [ + "ㄔㄥ2" + ], + "𡝛": [ + "ㄧㄠ2" + ], + "𡝜": [ + "ㄉㄨ4" + ], + "𡝝": [ + "ㄨㄤ1" + ], + "𡝟": [ + "ㄋㄧㄢ4" + ], + "𡝠": [ + "ㄇㄧ2" + ], + "𡝦": [ + "ㄋㄡ3" + ], + "𡝧": [ + "ㄒㄧ4" + ], + "𡝩": [ + "ㄧㄠ1" + ], + "𡝫": [ + "ㄔㄢ1" + ], + "𡞘": [ + "ㄒㄧㄝ4" + ], + "𡞙": [ + "ㄇㄧㄝ4" + ], + "𡞚": [ + "ㄎㄥ3" + ], + "𡞜": [ + "ㄘㄨ4" + ], + "𡞞": [ + "ㄕㄥ3" + ], + "𡞟": [ + "ㄆㄢ4" + ], + "𡞠": [ + "ㄏㄨ4" + ], + "𡞢": [ + "ㄎㄜ4" + ], + "𡞣": [ + "ㄒㄧㄢ4" + ], + "𡞥": [ + "ㄏㄡ2" + ], + "𡞦": [ + "ㄑㄩㄥ2" + ], + "𡞧": [ + "ㄗㄨㄥ1" + ], + "𡞪": [ + "ㄈㄨ2" + ], + "𡞫": [ + "ㄋㄞ4" + ], + "𡞭": [ + "ㄋㄧ4" + ], + "𡞯": [ + "ㄎㄨ3" + ], + "𡞾": [ + "ㄋㄣ4" + ], + "𡟍": [ + "ㄍㄜ1" + ], + "𡟑": [ + "ㄏㄡ2" + ], + "𡟓": [ + "ㄞ1" + ], + "𡟕": [ + "ㄕ1" + ], + "𡟞": [ + "ㄒㄧㄡ1" + ], + "𡟟": [ + "ㄘㄨㄥ1" + ], + "𡟠": [ + "ㄐㄧㄠ1" + ], + "𡟢": [ + "ㄓㄚ2" + ], + "𡟣": [ + "ㄒㄧㄠ1" + ], + "𡟤": [ + "ㄌㄧㄢ4" + ], + "𡟥": [ + "ㄑㄩ3" + ], + "𡟨": [ + "ㄕㄢ3" + ], + "𡟩": [ + "ㄒㄧㄝ4" + ], + "𡟫": [ + "ㄍㄨㄥ4" + ], + "𡟬": [ + "ㄇㄧㄝ4" + ], + "𡟭": [ + "ㄔㄞ2" + ], + "𡟯": [ + "ㄣ1" + ], + "𡟳": [ + "ㄉㄡ4" + ], + "𡠆": [ + "ㄎㄡ4" + ], + "𡠊": [ + "ㄊㄧㄠ2" + ], + "𡠋": [ + "ㄕ1" + ], + "𡠏": [ + "ㄙㄤ1" + ], + "𡠒": [ + "ㄍㄨㄢ1" + ], + "𡠖": [ + "ㄏㄠ4" + ], + "𡠗": [ + "ㄓ4" + ], + "𡠘": [ + "ㄧㄤ4" + ], + "𡠙": [ + "ㄊㄨㄥ1" + ], + "𡠚": [ + "ㄅㄧ4" + ], + "𡠜": [ + "ㄇㄛ2", + "ㄇㄛ4" + ], + "𡠞": [ + "ㄈㄨ2" + ], + "𡠥": [ + "ㄑㄧㄤ2" + ], + "𡠹": [ + "ㄓ4" + ], + "𡠼": [ + "ㄙㄡ1" + ], + "𡠿": [ + "ㄋㄧㄠ3" + ], + "𡡀": [ + "ㄐㄩㄢ4" + ], + "𡡂": [ + "ㄧㄤ4" + ], + "𡡄": [ + "ㄏㄨㄤ1" + ], + "𡡈": [ + "ㄅㄥ1" + ], + "𡡉": [ + "ㄇㄛ2" + ], + "𡡊": [ + "ㄔㄠ2" + ], + "𡡎": [ + "ㄌㄩ3", + "ㄌㄡ2" + ], + "𡡏": [ + "ㄕㄠ1" + ], + "𡡐": [ + "ㄅㄨ3" + ], + "𡡑": [ + "ㄗㄥ1" + ], + "𡡒": [ + "ㄙ1", + "ㄒㄧ1" + ], + "𡡔": [ + "ㄗㄨㄟ4" + ], + "𡡕": [ + "ㄩㄝ1" + ], + "𡡖": [ + "ㄗㄢ1", + "ㄘㄢ1" + ], + "𡡗": [ + "ㄌㄨㄢ3", + "ㄌㄨㄢ4" + ], + "𡡥": [ + "ㄑㄩ2" + ], + "𡡺": [ + "ㄇㄧㄠ3" + ], + "𡢀": [ + "ㄓㄨㄢ4" + ], + "𡢈": [ + "ㄉㄤ4" + ], + "𡢊": [ + "ㄩㄢ1" + ], + "𡢒": [ + "ㄐㄩ3" + ], + "𡢕": [ + "ㄏㄨㄟ3" + ], + "𡢖": [ + "ㄑㄧ4" + ], + "𡢘": [ + "ㄩㄣ4", + "ㄧㄥ2" + ], + "𡢚": [ + "ㄇㄢ4" + ], + "𡢜": [ + "ㄇㄛ3" + ], + "𡢱": [ + "ㄆㄧㄠ1" + ], + "𡢳": [ + "ㄐㄧㄣ4" + ], + "𡢹": [ + "ㄧㄠ1" + ], + "𡣀": [ + "ㄔ4" + ], + "𡣁": [ + "ㄋㄧ4" + ], + "𡣂": [ + "ㄙㄡ1" + ], + "𡣈": [ + "ㄕㄨ4" + ], + "𡣋": [ + "ㄆㄧㄠ1" + ], + "𡣔": [ + "ㄏㄢ4" + ], + "𡣠": [ + "ㄧㄠ1" + ], + "𡣢": [ + "ㄋㄟ2" + ], + "𡣪": [ + "ㄕ4" + ], + "𡣬": [ + "ㄩㄢ1" + ], + "𡣮": [ + "ㄘㄞ4" + ], + "𡣯": [ + "ㄐㄧㄝ2" + ], + "𡣹": [ + "ㄒㄧㄝ4" + ], + "𡣽": [ + "ㄧㄢ2" + ], + "𡣾": [ + "ㄒㄧㄠ1" + ], + "𡤋": [ + "ㄒㄧㄝ4" + ], + "𡤌": [ + "ㄌㄧ4" + ], + "𡤎": [ + "ㄈㄢ4" + ], + "𡤗": [ + "ㄓㄨ4" + ], + "𡤙": [ + "ㄋㄚ4" + ], + "𡤛": [ + "ㄓㄨㄢ3" + ], + "𡤞": [ + "ㄎㄨㄟ1" + ], + "𡤢": [ + "ㄌㄨㄛ2" + ], + "𡤫": [ + "ㄑㄧㄚ1" + ], + "𡤶": [ + "ㄨㄢ1" + ], + "𡤽": [ + "ㄕㄨ3" + ], + "𡤿": [ + "ㄔㄥ4", + "ㄎㄨㄥ3" + ], + "𡥁": [ + "ㄧ4" + ], + "𡥆": [ + "ㄏㄠ3", + "ㄏㄠ4" + ], + "𡥈": [ + "ㄐㄧㄠ4" + ], + "𡥋": [ + "ㄏㄨㄟ4" + ], + "𡥍": [ + "ㄒㄧㄠ4" + ], + "𡥎": [ + "ㄘ2", + "ㄗ3" + ], + "𡥞": [ + "ㄐㄧ4", + "ㄅㄟ4" + ], + "𡥦": [ + "ㄋㄧ3", + "ㄐㄧㄣ4" + ], + "𡥨": [ + "ㄋㄧ3", + "ㄐㄧㄣ4" + ], + "𡥩": [ + "ㄊㄧ3" + ], + "𡥶": [ + "ㄐㄩ4", + "ㄖㄨ2" + ], + "𡥸": [ + "ㄇㄧㄥ4" + ], + "𡥽": [ + "ㄌㄧ2" + ], + "𡥿": [ + "ㄓㄨㄥ4" + ], + "𡦁": [ + "ㄒㄩ4" + ], + "𡦃": [ + "ㄑㄩㄥ2" + ], + "𡦄": [ + "ㄈㄨ2" + ], + "𡦆": [ + "ㄅㄧㄣ4" + ], + "𡦊": [ + "ㄐㄧ4" + ], + "𡦍": [ + "ㄑㄧ2" + ], + "𡦎": [ + "ㄒㄧ4" + ], + "𡦔": [ + "ㄉㄥ4" + ], + "𡦕": [ + "ㄦ2" + ], + "𡦛": [ + "ㄕㄨ2" + ], + "𡦜": [ + "ㄊㄨㄥ2" + ], + "𡦝": [ + "ㄒㄧㄠ1", + "ㄒㄧㄠ2" + ], + "𡦟": [ + "ㄆㄧ2" + ], + "𡦨": [ + "ㄉㄢ3" + ], + "𡦪": [ + "ㄐㄧ2" + ], + "𡦳": [ + "ㄒㄧㄠ4" + ], + "𡦷": [ + "ㄘㄨㄥ2" + ], + "𡦻": [ + "ㄅㄧㄣ1" + ], + "𡦼": [ + "ㄖㄨㄥ3" + ], + "𡧍": [ + "ㄇㄧㄢ4", + "ㄅㄧㄣ1" + ], + "𡧒": [ + "ㄇㄧㄢ4" + ], + "𡧔": [ + "ㄕㄨ1" + ], + "𡧕": [ + "ㄒㄧㄠ2", + "ㄕㄡ3" + ], + "𡧖": [ + "ㄅㄠ3" + ], + "𡧗": [ + "ㄨㄚ4" + ], + "𡧙": [ + "ㄆㄠ4" + ], + "𡧣": [ + "ㄍㄞ3" + ], + "𡧥": [ + "ㄏㄨ1" + ], + "𡧦": [ + "ㄏㄥ2" + ], + "𡧨": [ + "ㄓㄨ2" + ], + "𡧩": [ + "ㄍㄨㄞ1" + ], + "𡧭": [ + "ㄍㄨㄟ4", + "ㄍㄨㄟ3" + ], + "𡧹": [ + "ㄉㄞ4" + ], + "𡧼": [ + "ㄅㄧㄣ1" + ], + "𡧽": [ + "ㄏㄨㄤ3", + "ㄏㄨㄤ1" + ], + "𡨀": [ + "ㄔㄚ2" + ], + "𡨄": [ + "ㄒㄧㄚ4", + "ㄙㄞ1" + ], + "𡨅": [ + "ㄐㄩ2" + ], + "𡨇": [ + "ㄧㄠ3", + "ㄒㄧㄤ3" + ], + "𡨖": [ + "ㄈㄣ3" + ], + "𡨗": [ + "ㄗㄠ4" + ], + "𡨛": [ + "ㄈㄥ1" + ], + "𡨢": [ + "ㄐㄩ1" + ], + "𡨣": [ + "ㄩ4" + ], + "𡨩": [ + "ㄏㄨㄣ1" + ], + "𡨲": [ + "ㄐㄧㄝ2" + ], + "𡨳": [ + "ㄒㄩㄥ4", + "ㄏㄨㄣ4" + ], + "𡨵": [ + "ㄋㄞ4" + ], + "𡨻": [ + "ㄋㄡ3" + ], + "𡨽": [ + "ㄕㄥ3" + ], + "𡨿": [ + "ㄩ4" + ], + "𡩂": [ + "ㄏㄨㄢ2" + ], + "𡩃": [ + "ㄍㄥ3" + ], + "𡩄": [ + "ㄨㄢ3" + ], + "𡩆": [ + "ㄊㄨㄛ2" + ], + "𡩇": [ + "ㄑㄧㄠ1" + ], + "𡩘": [ + "ㄧㄣ4" + ], + "𡩚": [ + "ㄐㄧㄚ1", + "ㄓㄨㄢ4" + ], + "𡩡": [ + "ㄙㄨㄛ3" + ], + "𡩣": [ + "ㄐㄧㄝ2" + ], + "𡩤": [ + "ㄒㄧ1" + ], + "𡩥": [ + "ㄨㄥ3" + ], + "𡩩": [ + "ㄇㄤ2" + ], + "𡩶": [ + "ㄧㄤ2" + ], + "𡩸": [ + "ㄧㄠ2" + ], + "𡩽": [ + "ㄇㄤ2" + ], + "𡩾": [ + "ㄡ1" + ], + "𡪁": [ + "ㄢ2" + ], + "𡪅": [ + "ㄌㄡ4" + ], + "𡪑": [ + "ㄜ4" + ], + "𡪒": [ + "ㄗ3" + ], + "𡪗": [ + "ㄜ4" + ], + "𡪙": [ + "ㄢ4" + ], + "𡪞": [ + "ㄏㄨㄛ4" + ], + "𡪠": [ + "ㄘㄥ2" + ], + "𡪰": [ + "ㄒㄩㄥ4" + ], + "𡪱": [ + "ㄐㄧ4" + ], + "𡪳": [ + "ㄗㄨㄛ2" + ], + "𡪵": [ + "ㄑㄧ2" + ], + "𡪺": [ + "ㄓㄥ1" + ], + "𡫀": [ + "ㄐㄧ1" + ], + "𡫁": [ + "ㄑㄧ1", + "ㄔㄣ4" + ], + "𡫂": [ + "ㄐㄩㄢ3" + ], + "𡫃": [ + "ㄋㄧㄥ2" + ], + "𡫟": [ + "ㄙㄜ4" + ], + "𡫥": [ + "ㄏㄜ4" + ], + "𡫦": [ + "ㄖㄨㄥ3" + ], + "𡫧": [ + "ㄑㄧㄣ3" + ], + "𡫬": [ + "ㄐㄩ1" + ], + "𡫯": [ + "ㄌㄧ4" + ], + "𡫵": [ + "ㄕ2" + ], + "𡫸": [ + "ㄋㄧ4" + ], + "𡫹": [ + "ㄒㄧㄢ2" + ], + "𡫺": [ + "ㄈㄨ1" + ], + "𡫽": [ + "ㄖㄨ3", + "ㄩ4" + ], + "𡬁": [ + "ㄒㄩㄥ4" + ], + "𡬂": [ + "ㄍㄨㄟ4" + ], + "𡬄": [ + "ㄐㄧ4" + ], + "𡬆": [ + "ㄇㄥ3", + "ㄇㄥ4" + ], + "𡬇": [ + "ㄈㄨ1" + ], + "𡬉": [ + "ㄙㄞ4" + ], + "𡬊": [ + "ㄩ4" + ], + "𡬋": [ + "ㄐㄧㄠ4" + ], + "𡬌": [ + "ㄇㄥ4" + ], + "𡬍": [ + "ㄇㄧ2", + "ㄌㄨㄥ2", + "ㄇㄧ3" + ], + "𡬎": [ + "ㄑㄧㄤ1" + ], + "𡬐": [ + "ㄧ2", + "ㄇㄧ2" + ], + "𡬓": [ + "ㄧ2" + ], + "𡬕": [ + "ㄌㄨㄥ2" + ], + "𡬖": [ + "ㄏㄢ1" + ], + "𡬗": [ + "ㄋㄧ4" + ], + "𡬘": [ + "ㄌㄠ4" + ], + "𡬙": [ + "ㄙㄥ4" + ], + "𡬜": [ + "ㄌㄧㄣ3" + ], + "𡬞": [ + "ㄩ4" + ], + "𡬥": [ + "ㄋㄨㄛ2" + ], + "𡬫": [ + "ㄨ4" + ], + "𡬯": [ + "ㄅㄧㄢ3" + ], + "𡬲": [ + "ㄅㄧㄢ3" + ], + "𡬳": [ + "ㄒㄩㄢ1", + "ㄕㄡ4" + ], + "𡬵": [ + "ㄐㄧㄢ1" + ], + "𡬸": [ + "ㄅㄧㄢ3" + ], + "𡭂": [ + "ㄉㄜ2" + ], + "𡭇": [ + "ㄓㄨㄢ1" + ], + "𡭋": [ + "ㄖㄨㄥ3" + ], + "𡭐": [ + "ㄕㄨㄢ4" + ], + "𡭘": [ + "ㄐㄧㄚ1" + ], + "𡭛": [ + "ㄏㄨㄟ3" + ], + "𡭞": [ + "ㄓㄢ1" + ], + "𡭢": [ + "ㄅㄞ4" + ], + "𡭣": [ + "ㄌㄧㄝ4" + ], + "𡭥": [ + "ㄒㄧㄝ1" + ], + "𡭭": [ + "ㄐㄧㄢ3" + ], + "𡭮": [ + "ㄕㄡ3" + ], + "𡭳": [ + "ㄎㄠ4" + ], + "𡭷": [ + "ㄍㄨㄢ1" + ], + "𡭸": [ + "ㄌㄨㄢ4" + ], + "𡭾": [ + "ㄋㄡ3" + ], + "𡭿": [ + "ㄔㄤ3" + ], + "𡮎": [ + "ㄌㄧㄤ2" + ], + "𡮙": [ + "ㄋㄞ4" + ], + "𡮚": [ + "ㄖㄨ3" + ], + "𡮞": [ + "ㄓ4" + ], + "𡮦": [ + "ㄘㄠ2" + ], + "𡮰": [ + "ㄌㄧ4" + ], + "𡮻": [ + "ㄌㄢ2" + ], + "𡮿": [ + "ㄔㄢ1" + ], + "𡯁": [ + "ㄨㄤ1" + ], + "𡯄": [ + "ㄌㄧ4" + ], + "𡯇": [ + "ㄨ4" + ], + "𡯈": [ + "ㄆㄠ2" + ], + "𡯉": [ + "ㄧㄡ4" + ], + "𡯋": [ + "ㄍㄢ1" + ], + "𡯏": [ + "ㄢ1" + ], + "𡯐": [ + "ㄒㄧㄡ1" + ], + "𡯑": [ + "ㄕㄨㄟ3", + "ㄓㄨㄟ3" + ], + "𡯒": [ + "ㄖㄨㄟ3" + ], + "𡯘": [ + "ㄅㄢ3" + ], + "𡯙": [ + "ㄧㄡ2" + ], + "𡯢": [ + "ㄏㄨㄛ2" + ], + "𡯥": [ + "ㄏㄨㄟ1" + ], + "𡯨": [ + "ㄗㄨㄛ4" + ], + "𡯩": [ + "ㄒㄧㄠ1" + ], + "𡯫": [ + "ㄇㄧㄢ2" + ], + "𡯰": [ + "ㄍㄚ4" + ], + "𡯱": [ + "ㄩㄢ3" + ], + "𡯳": [ + "ㄅㄛ4" + ], + "𡯴": [ + "ㄔㄠ4" + ], + "𡯵": [ + "ㄊㄨㄟ3", + "ㄎㄨㄟ4" + ], + "𡯷": [ + "ㄅㄛ4", + "ㄎㄡ4" + ], + "𡯽": [ + "ㄍㄚ4" + ], + "𡯿": [ + "ㄊㄧㄠ1" + ], + "𡰀": [ + "ㄋㄚ2" + ], + "𡰅": [ + "ㄏㄨ2" + ], + "𡰆": [ + "ㄋㄧㄝ4" + ], + "𡰋": [ + "ㄏㄨㄟ2" + ], + "𡰌": [ + "ㄌㄡ3" + ], + "𡰎": [ + "ㄊㄧ2" + ], + "𡰐": [ + "ㄑㄧㄠ4" + ], + "𡰑": [ + "ㄑㄧㄠ2" + ], + "𡰒": [ + "ㄓㄨㄥ3" + ], + "𡰖": [ + "ㄉㄧ1" + ], + "𡰚": [ + "ㄌㄧㄣ2" + ], + "𡰝": [ + "ㄑㄩㄢ2" + ], + "𡰞": [ + "ㄓㄨㄢ1" + ], + "𡰠": [ + "ㄌㄟ2", + "ㄌㄨㄢ2" + ], + "𡰢": [ + "ㄒㄧㄝ2" + ], + "𡰥": [ + "ㄖㄣ2", + "ㄧ2" + ], + "𡰨": [ + "ㄉㄤ1" + ], + "𡰪": [ + "ㄉㄨ1" + ], + "𡰫": [ + "ㄋㄧㄢ3" + ], + "𡰯": [ + "ㄕ3", + "ㄉㄧㄠ3", + "ㄅㄟ3" + ], + "𡰲": [ + "ㄒㄧㄢ2" + ], + "𡰹": [ + "ㄓ2" + ], + "𡰽": [ + "ㄞ4" + ], + "𡰾": [ + "ㄘ1" + ], + "𡰿": [ + "ㄆㄨ2" + ], + "𡱁": [ + "ㄕ3" + ], + "𡱅": [ + "ㄑㄩ1" + ], + "𡱆": [ + "ㄕㄨ3" + ], + "𡱇": [ + "ㄉㄧㄢ1" + ], + "𡱉": [ + "ㄒㄧㄠ3" + ], + "𡱊": [ + "ㄕㄨㄟ3" + ], + "𡱌": [ + "ㄏㄨㄢ2" + ], + "𡱐": [ + "ㄧ2" + ], + "𡱑": [ + "ㄐㄩㄢ1" + ], + "𡱔": [ + "ㄓ3", + "ㄑㄧ4" + ], + "𡱜": [ + "ㄓㄠ4" + ], + "𡱣": [ + "ㄒㄩ4" + ], + "𡱯": [ + "ㄌㄨㄥ4" + ], + "𡱱": [ + "ㄓㄨ4" + ], + "𡱳": [ + "ㄙㄨㄛ3" + ], + "𡱷": [ + "ㄉㄧㄝ2" + ], + "𡱺": [ + "ㄑㄩ2" + ], + "𡱼": [ + "ㄎㄜ4", + "ㄎㄨㄚ4" + ], + "𡱽": [ + "ㄏㄨ1" + ], + "𡱾": [ + "ㄐㄩ1" + ], + "𡲀": [ + "ㄑㄧㄥ3" + ], + "𡲍": [ + "ㄅㄧㄥ1" + ], + "𡲕": [ + "ㄊㄧ4" + ], + "𡲗": [ + "ㄐㄩㄝ2" + ], + "𡲚": [ + "ㄑㄧㄡ2" + ], + "𡲣": [ + "ㄐㄧㄤ4" + ], + "𡲪": [ + "ㄩㄣ4" + ], + "𡲭": [ + "ㄇㄟ4" + ], + "𡲮": [ + "ㄆㄧ1" + ], + "𡲰": [ + "ㄑㄩ2" + ], + "𡲼": [ + "ㄇㄧ4" + ], + "𡲿": [ + "ㄊㄧ4" + ], + "𡳂": [ + "ㄎㄞ4" + ], + "𡳄": [ + "ㄅㄧ3" + ], + "𡳆": [ + "ㄑㄩ1", + "ㄑㄩ4" + ], + "𡳏": [ + "ㄊㄧㄠ1" + ], + "𡳑": [ + "ㄔㄨ4" + ], + "𡳘": [ + "ㄐㄩ2" + ], + "𡳚": [ + "ㄒㄧ1" + ], + "𡳞": [ + "ㄌㄧㄣ4" + ], + "𡳭": [ + "ㄔ3" + ], + "𡳮": [ + "ㄐㄧ1" + ], + "𡳴": [ + "ㄌㄨ2" + ], + "𡳸": [ + "ㄌㄧ4" + ], + "𡳾": [ + "ㄐㄩㄝ2" + ], + "𡴅": [ + "ㄓㄨ1" + ], + "𡴆": [ + "ㄌㄨ4" + ], + "𡴎": [ + "ㄋㄧㄝ4" + ], + "𡴔": [ + "ㄑㄩㄢ2" + ], + "𡴭": [ + "ㄧㄚ4" + ], + "𡴯": [ + "ㄜ4" + ], + "𡴱": [ + "ㄏㄨ4", + "ㄐㄧㄝ2" + ], + "𡵀": [ + "ㄇㄤ2" + ], + "𡵉": [ + "ㄨ4" + ], + "𡵌": [ + "ㄔㄚ1" + ], + "𡵑": [ + "ㄑㄧㄣ1" + ], + "𡵒": [ + "ㄐㄧㄝ2", + "ㄑㄧ3" + ], + "𡵓": [ + "ㄏㄨㄥ2" + ], + "𡵕": [ + "ㄉㄢ1" + ], + "𡵖": [ + "ㄣ3" + ], + "𡵗": [ + "ㄗㄜ4" + ], + "𡵘": [ + "ㄏㄨ4" + ], + "𡵙": [ + "ㄤ4" + ], + "𡵚": [ + "ㄐㄧㄝ4" + ], + "𡵛": [ + "ㄈㄨ4" + ], + "𡵜": [ + "ㄩㄥ4" + ], + "𡵞": [ + "ㄈㄥ1" + ], + "𡵬": [ + "ㄇㄨ4" + ], + "𡵶": [ + "ㄙㄜ4" + ], + "𡵷": [ + "ㄘㄨㄥ2" + ], + "𡵻": [ + "ㄎㄤ1" + ], + "𡶂": [ + "ㄧㄠ4" + ], + "𡶃": [ + "ㄞ4" + ], + "𡶄": [ + "ㄅㄠ1" + ], + "𡶆": [ + "ㄆㄛ3" + ], + "𡶈": [ + "ㄕ3" + ], + "𡶉": [ + "ㄈㄢ4" + ], + "𡶋": [ + "ㄐㄩ2" + ], + "𡶌": [ + "ㄆㄧ2" + ], + "𡶎": [ + "ㄨㄟ4" + ], + "𡶏": [ + "ㄎㄨ1" + ], + "𡶐": [ + "ㄑㄧㄝ2" + ], + "𡶑": [ + "ㄍㄢ1" + ], + "𡶢": [ + "ㄎㄨㄤ4" + ], + "𡶣": [ + "ㄙㄨㄟ4" + ], + "𡶤": [ + "ㄅㄥ1", + "ㄩㄥ4" + ], + "𡶥": [ + "ㄐㄧㄚ1" + ], + "𡶦": [ + "ㄧㄚ4" + ], + "𡶪": [ + "ㄎㄢ4" + ], + "𡶫": [ + "ㄋㄧㄝ4" + ], + "𡶭": [ + "ㄒㄧㄥ2" + ], + "𡶯": [ + "ㄒㄧ4" + ], + "𡶱": [ + "ㄌㄧㄣ4" + ], + "𡶲": [ + "ㄉㄨㄛ3" + ], + "𡶴": [ + "ㄔㄢ3" + ], + "𡷈": [ + "ㄕ4" + ], + "𡷋": [ + "ㄉㄨㄟ4" + ], + "𡷍": [ + "ㄐㄧㄤ1" + ], + "𡷎": [ + "ㄩ3" + ], + "𡷏": [ + "ㄌㄨ4" + ], + "𡷐": [ + "ㄣ3" + ], + "𡷓": [ + "ㄍㄨ3" + ], + "𡷕": [ + "ㄨㄟ3" + ], + "𡷖": [ + "ㄔㄜ1" + ], + "𡷗": [ + "ㄏㄨㄢ4", + "ㄏㄨㄢ2" + ], + "𡷘": [ + "ㄅㄧㄝ2" + ], + "𡷛": [ + "ㄏㄢ4" + ], + "𡷜": [ + "ㄊㄨㄟ2" + ], + "𡷝": [ + "ㄋㄚ4" + ], + "𡷞": [ + "ㄑㄧ3" + ], + "𡷠": [ + "ㄊㄡ2" + ], + "𡷡": [ + "ㄩㄢ1" + ], + "𡷢": [ + "ㄨㄤ2" + ], + "𡷤": [ + "ㄨ2" + ], + "𡷥": [ + "ㄍㄠ4" + ], + "𡷨": [ + "ㄎㄥ1", + "ㄒㄧㄥ2" + ], + "𡷪": [ + "ㄧ2", + "ㄋㄧㄥ2" + ], + "𡷸": [ + "ㄒㄧㄠ1" + ], + "𡷺": [ + "ㄍㄨㄟ3" + ], + "𡷻": [ + "ㄧㄚ4" + ], + "𡷼": [ + "ㄙㄨㄟ4" + ], + "𡷽": [ + "ㄙㄨㄥ3" + ], + "𡷿": [ + "ㄓㄨㄛ2" + ], + "𡸂": [ + "ㄊㄨ1", + "ㄊㄨ2" + ], + "𡸃": [ + "ㄒㄧㄢ3", + "ㄐㄧㄢ3" + ], + "𡸈": [ + "ㄗㄜ4" + ], + "𡸉": [ + "ㄌㄧ4" + ], + "𡸌": [ + "ㄓㄨ4" + ], + "𡸎": [ + "ㄐㄧㄝ2" + ], + "𡸑": [ + "ㄊㄧ4" + ], + "𡸔": [ + "ㄒㄧㄝ2" + ], + "𡸕": [ + "ㄑㄩㄥ2" + ], + "𡸗": [ + "ㄧㄚ4" + ], + "𡸘": [ + "ㄐㄩ1" + ], + "𡸛": [ + "ㄧㄣ2" + ], + "𡸜": [ + "ㄓ2" + ], + "𡸞": [ + "ㄎㄢ3" + ], + "𡸟": [ + "ㄗ1" + ], + "𡸡": [ + "ㄎㄜ1" + ], + "𡸣": [ + "ㄋㄧㄝ4" + ], + "𡸤": [ + "ㄑㄧㄤ2" + ], + "𡸥": [ + "ㄨㄢ3" + ], + "𡸦": [ + "ㄗㄜ2" + ], + "𡸨": [ + "ㄐㄩ1" + ], + "𡸪": [ + "ㄗ4" + ], + "𡹄": [ + "ㄧㄚ4" + ], + "𡹇": [ + "ㄌㄧㄣ2" + ], + "𡹉": [ + "ㄑㄧ2" + ], + "𡹎": [ + "ㄏㄨㄟ2" + ], + "𡹓": [ + "ㄑㄧ4" + ], + "𡹕": [ + "ㄧㄤ2" + ], + "𡹖": [ + "ㄙㄨㄟ4" + ], + "𡹘": [ + "ㄑㄧ3" + ], + "𡹙": [ + "ㄍㄨㄟ1" + ], + "𡹢": [ + "ㄑㄧㄣ4" + ], + "𡹣": [ + "ㄜ1" + ], + "𡹥": [ + "ㄗㄨㄛ4" + ], + "𡹨": [ + "ㄗㄜ4" + ], + "𡹩": [ + "ㄑㄧ4" + ], + "𡹪": [ + "ㄐㄧ2" + ], + "𡹬": [ + "ㄊㄨㄛ2" + ], + "𡹭": [ + "ㄉㄧㄝ2" + ], + "𡹯": [ + "ㄏㄨㄟ4" + ], + "𡹰": [ + "ㄇㄠ2" + ], + "𡹲": [ + "ㄒㄩ3" + ], + "𡹵": [ + "ㄏㄡ2" + ], + "𡹶": [ + "ㄧㄢ3" + ], + "𡹷": [ + "ㄒㄧㄤ2" + ], + "𡹸": [ + "ㄘㄨㄥ1" + ], + "𡹹": [ + "ㄏㄨ2" + ], + "𡹼": [ + "ㄢ4", + "ㄧㄢ3" + ], + "𡹾": [ + "ㄅㄧㄥ3" + ], + "𡺇": [ + "ㄉㄨㄛ3" + ], + "𡺐": [ + "ㄓㄨ3" + ], + "𡺑": [ + "ㄉㄧㄝ2" + ], + "𡺒": [ + "ㄧㄡ1" + ], + "𡺓": [ + "ㄑㄧ3" + ], + "𡺔": [ + "ㄕ2" + ], + "𡺕": [ + "ㄒㄩㄣ1" + ], + "𡺖": [ + "ㄧㄡ1" + ], + "𡺗": [ + "ㄎㄢ1" + ], + "𡺘": [ + "ㄑㄧㄠ3" + ], + "𡺛": [ + "ㄑㄧㄤ1", + "ㄏㄨㄚ4" + ], + "𡺜": [ + "ㄆㄣ2" + ], + "𡺟": [ + "ㄑㄩㄢ2" + ], + "𡺡": [ + "ㄧㄥ2" + ], + "𡺧": [ + "ㄕㄚ1" + ], + "𡺫": [ + "ㄊㄠ1" + ], + "𡺭": [ + "ㄏㄨㄥ4" + ], + "𡺮": [ + "ㄆㄧ3" + ], + "𡺯": [ + "ㄧㄠ2" + ], + "𡺴": [ + "ㄊㄨ2" + ], + "𡺵": [ + "ㄔㄞ2" + ], + "𡺷": [ + "ㄒㄧㄚ4" + ], + "𡺸": [ + "ㄑㄧ2" + ], + "𡺺": [ + "ㄑㄩㄥ2" + ], + "𡺽": [ + "ㄐㄧㄣ4" + ], + "𡻈": [ + "ㄓㄣ1" + ], + "𡻌": [ + "ㄓㄨ1" + ], + "𡻎": [ + "ㄒㄧ1" + ], + "𡻐": [ + "ㄨㄥ1" + ], + "𡻑": [ + "ㄓㄨㄥ3" + ], + "𡻕": [ + "ㄙㄨㄟ4" + ], + "𡻘": [ + "ㄎㄜ1" + ], + "𡻙": [ + "ㄎㄨㄛ4" + ], + "𡻚": [ + "ㄎㄤ3" + ], + "𡻝": [ + "ㄔㄠ2" + ], + "𡻞": [ + "ㄅㄧ4" + ], + "𡻟": [ + "ㄇㄛ4" + ], + "𡻠": [ + "ㄓㄨ4" + ], + "𡻡": [ + "ㄏㄢ4", + "ㄧㄢ2" + ], + "𡻢": [ + "ㄩ3" + ], + "𡻣": [ + "ㄧ2" + ], + "𡻤": [ + "ㄇㄚ2" + ], + "𡻧": [ + "ㄑㄧ4" + ], + "𡻨": [ + "ㄍㄨㄣ4" + ], + "𡻩": [ + "ㄇㄢ4" + ], + "𡻪": [ + "ㄌㄧㄠ2", + "ㄌㄧㄡ4" + ], + "𡻫": [ + "ㄌㄧㄣ2" + ], + "𡻬": [ + "ㄗㄨ2" + ], + "𡻭": [ + "ㄌㄟ3" + ], + "𡻮": [ + "ㄏㄨ4" + ], + "𡻯": [ + "ㄔㄨㄤ3" + ], + "𡻰": [ + "ㄑㄧ4" + ], + "𡻱": [ + "ㄌㄟ2" + ], + "𡼁": [ + "ㄔ1" + ], + "𡼃": [ + "ㄆㄛ2" + ], + "𡼄": [ + "ㄉㄧㄝ2" + ], + "𡼊": [ + "ㄌㄟ3" + ], + "𡼎": [ + "ㄧ3" + ], + "𡼓": [ + "ㄉㄧㄢ4" + ], + "𡼖": [ + "ㄉㄨㄣ1" + ], + "𡼗": [ + "ㄍㄠ1" + ], + "𡼘": [ + "ㄏㄨ1" + ], + "𡼚": [ + "ㄒㄧㄠ1" + ], + "𡼛": [ + "ㄍㄚ2" + ], + "𡼜": [ + "ㄆㄥ1" + ], + "𡼬": [ + "ㄕㄣ3" + ], + "𡼱": [ + "ㄨㄟ2" + ], + "𡼻": [ + "ㄉㄨㄟ4" + ], + "𡼼": [ + "ㄔㄠ2" + ], + "𡼽": [ + "ㄧㄣ3" + ], + "𡼾": [ + "ㄎㄨㄞ4" + ], + "𡼿": [ + "ㄎㄨ1" + ], + "𡽁": [ + "ㄗㄨㄟ4" + ], + "𡽂": [ + "ㄍㄨ3" + ], + "𡽅": [ + "ㄩㄣ4" + ], + "𡽆": [ + "ㄓ4" + ], + "𡽉": [ + "ㄐㄧ4" + ], + "𡽊": [ + "ㄔㄥ1" + ], + "𡽖": [ + "ㄒㄧㄝ4" + ], + "𡽛": [ + "ㄗㄨㄟ3" + ], + "𡽜": [ + "ㄢ2" + ], + "𡽝": [ + "ㄏㄠ1" + ], + "𡽠": [ + "ㄆㄛ3" + ], + "𡽢": [ + "ㄉㄧ2" + ], + "𡽣": [ + "ㄧㄝ4" + ], + "𡽧": [ + "ㄋㄠ2" + ], + "𡽱": [ + "ㄐㄧㄝ2" + ], + "𡽲": [ + "ㄅㄤ4" + ], + "𡽳": [ + "ㄌㄢ3" + ], + "𡽴": [ + "ㄘㄤ2" + ], + "𡽶": [ + "ㄅㄧ4" + ], + "𡽻": [ + "ㄓㄢ3" + ], + "𡽼": [ + "ㄑㄧ4" + ], + "𡾂": [ + "ㄋㄠ2" + ], + "𡾅": [ + "ㄌㄩ4" + ], + "𡾇": [ + "ㄎㄨㄤ4" + ], + "𡾉": [ + "ㄇㄛ2" + ], + "𡾋": [ + "ㄌㄟ3", + "ㄌㄟ2" + ], + "𡾌": [ + "ㄆㄠ2" + ], + "𡾒": [ + "ㄌㄧ4" + ], + "𡾓": [ + "ㄘㄥ2" + ], + "𡾕": [ + "ㄉㄤ4" + ], + "𡾖": [ + "ㄌㄟ3" + ], + "𡾙": [ + "ㄜ4" + ], + "𡾛": [ + "ㄅㄥ4" + ], + "𡾜": [ + "ㄐㄩㄝ2", + "ㄏㄨㄛ4" + ], + "𡾥": [ + "ㄒㄩㄢ2" + ], + "𡾦": [ + "ㄋㄧㄝ4" + ], + "𡾨": [ + "ㄏㄞ4" + ], + "𡾮": [ + "ㄒㄧㄢ3" + ], + "𡾰": [ + "ㄐㄧㄢ3" + ], + "𡾱": [ + "ㄇㄧ2" + ], + "𡾲": [ + "ㄋㄧㄝ4" + ], + "𡾻": [ + "ㄘㄤ2" + ], + "𡾼": [ + "ㄙㄨㄥ3" + ], + "𡾽": [ + "ㄗㄥ1" + ], + "𡾾": [ + "ㄧ4" + ], + "𡿂": [ + "ㄔㄨㄥ2" + ], + "𡿄": [ + "ㄘㄤ2" + ], + "𡿉": [ + "ㄌㄟ3" + ], + "𡿊": [ + "ㄋㄨㄛ2" + ], + "𡿋": [ + "ㄌㄧ4" + ], + "𡿎": [ + "ㄌㄧ2" + ], + "𡿏": [ + "ㄌㄨㄛ2" + ], + "𡿓": [ + "ㄊㄤ3" + ], + "𡿖": [ + "ㄋㄧㄝ4", + "ㄧㄚ4" + ], + "𡿗": [ + "ㄋㄧㄝ4" + ], + "𡿙": [ + "ㄐㄧ1" + ], + "𡿛": [ + "ㄌㄟ3" + ], + "𡿝": [ + "ㄋㄤ4" + ], + "𡿠": [ + "ㄌㄧㄣ2" + ], + "𡿡": [ + "ㄌㄧㄥ2" + ], + "𡿤": [ + "ㄒㄧㄢ2" + ], + "𡿥": [ + "ㄩ4" + ], + "𡿧": [ + "ㄗㄞ1" + ], + "𡿨": [ + "ㄑㄩㄢ3" + ], + "𡿩": [ + "ㄌㄧㄝ4" + ], + "𡿯": [ + "ㄩ4" + ], + "𡿰": [ + "ㄏㄨㄤ1" + ], + "𡿺": [ + "ㄋㄠ3" + ], + "𡿼": [ + "ㄒㄩㄣ4" + ], + "𡿾": [ + "ㄐㄩ2" + ], + "𡿿": [ + "ㄏㄨㄛ4" + ], + "𢀁": [ + "ㄧ4" + ], + "𢀊": [ + "ㄒㄧ1" + ], + "𢀋": [ + "ㄙㄜ4" + ], + "𢀌": [ + "ㄐㄧㄠ3" + ], + "𢀍": [ + "ㄩㄥ1" + ], + "𢀕": [ + "ㄕ1" + ], + "𢀖": [ + "ㄐㄧㄥ1" + ], + "𢀗": [ + "ㄨㄢ4" + ], + "𢀘": [ + "ㄧㄝ3" + ], + "𢀙": [ + "ㄐㄧㄡ1" + ], + "𢀜": [ + "ㄍㄨㄥ3" + ], + "𢀡": [ + "ㄏㄨㄟ1", + "ㄗㄨㄛ3" + ], + "𢀪": [ + "ㄦ3" + ], + "𢀵": [ + "ㄏㄢ4" + ], + "𢀼": [ + "ㄈㄨ2" + ], + "𢁀": [ + "ㄈㄨ2" + ], + "𢁁": [ + "ㄓㄨㄛ2" + ], + "𢁂": [ + "ㄐㄧ1", + "ㄐㄧ4" + ], + "𢁏": [ + "ㄅㄤ1" + ], + "𢁒": [ + "ㄑㄧ2" + ], + "𢁓": [ + "ㄕ3", + "ㄏㄞ4" + ], + "𢁕": [ + "ㄉㄧㄠ3" + ], + "𢁖": [ + "ㄆㄟ4" + ], + "𢁗": [ + "ㄒㄧㄢ3", + "ㄍㄢ4" + ], + "𢁘": [ + "ㄙㄢ1" + ], + "𢁝": [ + "ㄔㄤ2" + ], + "𢁞": [ + "ㄩㄝ1" + ], + "𢁠": [ + "ㄍㄨㄥ1" + ], + "𢁢": [ + "ㄨ1" + ], + "𢁤": [ + "ㄈㄣ1" + ], + "𢁧": [ + "ㄔㄢ3" + ], + "𢁩": [ + "ㄋㄟ4" + ], + "𢁪": [ + "ㄐㄩㄝ2" + ], + "𢁬": [ + "ㄓㄠ3" + ], + "𢁮": [ + "ㄑㄧㄢ2" + ], + "𢁱": [ + "ㄠ3" + ], + "𢁶": [ + "ㄨㄤ3" + ], + "𢁷": [ + "ㄓㄨㄥ1" + ], + "𢁹": [ + "ㄏㄨㄤ1" + ], + "𢁻": [ + "ㄅㄨ4" + ], + "𢁼": [ + "ㄓㄨ3" + ], + "𢁽": [ + "ㄅㄧ4" + ], + "𢁾": [ + "ㄔㄠ1" + ], + "𢁿": [ + "ㄓㄥ1" + ], + "𢂀": [ + "ㄈㄨ2" + ], + "𢂁": [ + "ㄎㄡ1", + "ㄑㄩ2" + ], + "𢂃": [ + "ㄗㄨㄛ2" + ], + "𢂄": [ + "ㄒㄩㄢ4" + ], + "𢂆": [ + "ㄈㄨ4" + ], + "𢂊": [ + "ㄧㄠ3" + ], + "𢂍": [ + "ㄅㄛ1" + ], + "𢂏": [ + "ㄅㄟ4" + ], + "𢂐": [ + "ㄒㄧㄝ2" + ], + "𢂑": [ + "ㄕ4" + ], + "𢂒": [ + "ㄧ2" + ], + "𢂔": [ + "ㄏㄨㄥ2" + ], + "𢂕": [ + "ㄘㄨㄟ4" + ], + "𢂗": [ + "ㄧ4" + ], + "𢂘": [ + "ㄓㄨㄢ1" + ], + "𢂝": [ + "ㄔ4" + ], + "𢂤": [ + "ㄆㄛ1", + "ㄌㄨ4" + ], + "𢂨": [ + "ㄧㄣ2" + ], + "𢂱": [ + "ㄩㄢ4" + ], + "𢂶": [ + "ㄐㄩㄥ1" + ], + "𢂹": [ + "ㄇㄠ4" + ], + "𢂺": [ + "ㄑㄧㄢ4" + ], + "𢂼": [ + "ㄧ4" + ], + "𢃀": [ + "ㄨ2" + ], + "𢃍": [ + "ㄅㄟ1" + ], + "𢃎": [ + "ㄏㄨㄛ4" + ], + "𢃏": [ + "ㄘㄨㄥ2" + ], + "𢃐": [ + "ㄎㄨㄥ1" + ], + "𢃕": [ + "ㄊㄚ4" + ], + "𢃗": [ + "ㄏㄢ4" + ], + "𢃘": [ + "ㄑㄧㄢ4" + ], + "𢃜": [ + "ㄓ2" + ], + "𢃢": [ + "ㄙㄜ4" + ], + "𢃥": [ + "ㄑㄧㄢ1" + ], + "𢃦": [ + "ㄍㄨㄛ3" + ], + "𢃩": [ + "ㄍㄨㄣ3", + "ㄐㄩㄢ3" + ], + "𢃬": [ + "ㄐㄧㄢ1" + ], + "𢃭": [ + "ㄓㄨㄥ1" + ], + "𢃮": [ + "ㄇㄧㄢ3" + ], + "𢃯": [ + "ㄍㄨㄟ3" + ], + "𢃰": [ + "ㄕ4" + ], + "𢃱": [ + "ㄇㄡ2" + ], + "𢃲": [ + "ㄜ4" + ], + "𢃳": [ + "ㄅㄚ3" + ], + "𢃴": [ + "ㄌㄚ4" + ], + "𢃸": [ + "ㄓㄡ4" + ], + "𢃺": [ + "ㄐㄧ2" + ], + "𢄀": [ + "ㄗㄠ3" + ], + "𢄄": [ + "ㄓㄚ1" + ], + "𢄅": [ + "ㄧ4" + ], + "𢄇": [ + "ㄍㄡ3" + ], + "𢄊": [ + "ㄍㄨㄟ1" + ], + "𢄋": [ + "ㄧㄥ1" + ], + "𢄌": [ + "ㄕㄞ3" + ], + "𢄍": [ + "ㄏㄜ2", + "ㄍㄜ2" + ], + "𢄎": [ + "ㄅㄤ4" + ], + "𢄏": [ + "ㄇㄛ4" + ], + "𢄐": [ + "ㄇㄥ2" + ], + "𢄓": [ + "ㄨ4" + ], + "𢄔": [ + "ㄉㄞ4" + ], + "𢄗": [ + "ㄐㄩㄥ3" + ], + "𢄜": [ + "ㄏㄢ4" + ], + "𢄟": [ + "ㄊㄨㄥ1" + ], + "𢄠": [ + "ㄎㄡ1" + ], + "𢄡": [ + "ㄌㄧ2" + ], + "𢄢": [ + "ㄓ4" + ], + "𢄣": [ + "ㄏㄨㄟ4" + ], + "𢄤": [ + "ㄗㄢ3" + ], + "𢄦": [ + "ㄉㄧㄠ3" + ], + "𢄧": [ + "ㄘㄨ4" + ], + "𢄱": [ + "ㄓ4" + ], + "𢄳": [ + "ㄎㄨㄚ3" + ], + "𢄵": [ + "ㄒㄧㄤ4" + ], + "𢄶": [ + "ㄏㄨㄚ4" + ], + "𢄷": [ + "ㄌㄧㄠ2" + ], + "𢄸": [ + "ㄘㄨㄟ4" + ], + "𢄹": [ + "ㄑㄧㄠ1" + ], + "𢄺": [ + "ㄐㄧㄠ3" + ], + "𢄼": [ + "ㄒㄩ1" + ], + "𢄽": [ + "ㄦ4" + ], + "𢄿": [ + "ㄊㄨㄛ1" + ], + "𢅀": [ + "ㄊㄢ2" + ], + "𢅁": [ + "ㄓ4" + ], + "𢅈": [ + "ㄋㄠ3" + ], + "𢅉": [ + "ㄇㄠ4" + ], + "𢅊": [ + "ㄉㄧ4" + ], + "𢅋": [ + "ㄘㄥ2" + ], + "𢅎": [ + "ㄐㄧㄠ3" + ], + "𢅏": [ + "ㄌㄧㄢ2" + ], + "𢅑": [ + "ㄕㄚ1" + ], + "𢅒": [ + "ㄉㄢ4" + ], + "𢅕": [ + "ㄙㄨㄟ4" + ], + "𢅖": [ + "ㄌㄧㄢ2" + ], + "𢅗": [ + "ㄍㄨㄛ4" + ], + "𢅚": [ + "ㄅㄧㄠ3", + "ㄅㄧㄠ1" + ], + "𢅜": [ + "ㄘ4" + ], + "𢅝": [ + "ㄉㄧㄢ4" + ], + "𢅞": [ + "ㄌㄩ4" + ], + "𢅟": [ + "ㄋㄧ3" + ], + "𢅠": [ + "ㄧㄢ3" + ], + "𢅡": [ + "ㄌㄢ2" + ], + "𢅤": [ + "ㄍㄞ4" + ], + "𢅥": [ + "ㄔㄨ2" + ], + "𢅩": [ + "ㄅㄧ4" + ], + "𢅪": [ + "ㄗㄨ2" + ], + "𢅫": [ + "ㄏㄨㄟ4" + ], + "𢅭": [ + "ㄌㄞ3" + ], + "𢅮": [ + "ㄒㄧㄢ2" + ], + "𢅯": [ + "ㄈㄣ4" + ], + "𢅰": [ + "ㄏㄜ4" + ], + "𢅹": [ + "ㄧㄠ4" + ], + "𢅺": [ + "ㄓㄢ3" + ], + "𢅼": [ + "ㄋㄟ2" + ], + "𢅾": [ + "ㄌㄨㄛ3" + ], + "𢆀": [ + "ㄩㄢ2" + ], + "𢆂": [ + "ㄋㄥ2" + ], + "𢆉": [ + "ㄖㄣ3" + ], + "𢆜": [ + "ㄍㄜ2" + ], + "𢆞": [ + "ㄐㄧㄢ3" + ], + "𢆟": [ + "ㄆㄧㄥ2" + ], + "𢆣": [ + "ㄅㄧㄝ4" + ], + "𢆦": [ + "ㄐㄧㄢ4" + ], + "𢆩": [ + "ㄅㄧㄥ4" + ], + "𢆯": [ + "ㄇㄧ4", + "ㄒㄩㄢ2" + ], + "𢆰": [ + "ㄏㄨ4" + ], + "𢆴": [ + "ㄉㄧㄠ3" + ], + "𢆶": [ + "ㄧㄡ1", + "ㄗ1" + ], + "𢆷": [ + "ㄧㄠ1", + "ㄇㄧㄠ4" + ], + "𢆸": [ + "ㄅㄥ1" + ], + "𢆺": [ + "ㄔㄣ2" + ], + "𢆻": [ + "ㄐㄧ1", + "ㄉㄨㄟ4" + ], + "𢆽": [ + "ㄧㄠ1" + ], + "𢇇": [ + "ㄍㄨㄢ1" + ], + "𢇈": [ + "ㄧㄢ4" + ], + "𢇕": [ + "ㄔ3" + ], + "𢇗": [ + "ㄕㄚ4" + ], + "𢇘": [ + "ㄧㄢ3" + ], + "𢇙": [ + "ㄧ4" + ], + "𢇚": [ + "ㄧ4" + ], + "𢇛": [ + "ㄔㄜ4", + "ㄔ3" + ], + "𢇞": [ + "ㄏㄢ4" + ], + "𢇟": [ + "ㄏㄨㄤ1" + ], + "𢇤": [ + "ㄕㄨㄟ4" + ], + "𢇥": [ + "ㄙㄨㄟ4" + ], + "𢇦": [ + "ㄖㄣ2" + ], + "𢇧": [ + "ㄊㄢ2" + ], + "𢇨": [ + "ㄓ3" + ], + "𢇪": [ + "ㄈㄢ4" + ], + "𢇫": [ + "ㄈㄥ3" + ], + "𢇰": [ + "ㄊㄢ2" + ], + "𢇲": [ + "ㄇㄧ2" + ], + "𢇳": [ + "ㄆㄧ2" + ], + "𢇴": [ + "ㄅㄨ4" + ], + "𢇵": [ + "ㄋㄚ4" + ], + "𢇶": [ + "ㄊㄧㄢ2" + ], + "𢇷": [ + "ㄅㄚ2" + ], + "𢇸": [ + "ㄧ4" + ], + "𢈂": [ + "ㄧㄢ3" + ], + "𢈄": [ + "ㄊㄧㄠ1" + ], + "𢈆": [ + "ㄧㄠ2" + ], + "𢈇": [ + "ㄕㄣ3" + ], + "𢈈": [ + "ㄎㄜ1", + "ㄨㄚ1" + ], + "𢈉": [ + "ㄊㄨㄥ2" + ], + "𢈋": [ + "ㄒㄩㄢ3" + ], + "𢈓": [ + "ㄧㄡ4" + ], + "𢈕": [ + "ㄅㄞ4" + ], + "𢈙": [ + "ㄒㄧㄚ2" + ], + "𢈚": [ + "ㄌㄩ3" + ], + "𢈛": [ + "ㄎㄨㄣ4" + ], + "𢈜": [ + "ㄗㄤ1" + ], + "𢈝": [ + "ㄑㄧㄡ2" + ], + "𢈠": [ + "ㄘㄨ4", + "ㄌㄚ4" + ], + "𢈡": [ + "ㄗㄨㄟ1" + ], + "𢈢": [ + "ㄌㄡ3" + ], + "𢈤": [ + "ㄒㄧㄚ2" + ], + "𢈯": [ + "ㄕㄣ1" + ], + "𢈲": [ + "ㄆㄨ2" + ], + "𢈴": [ + "ㄐㄧㄥ1" + ], + "𢈵": [ + "ㄑㄧㄤ1" + ], + "𢈶": [ + "ㄧ4", + "ㄙ1" + ], + "𢈸": [ + "ㄋㄧㄝ4" + ], + "𢈹": [ + "ㄉㄨㄟ1", + "ㄊㄨㄟ2" + ], + "𢈻": [ + "ㄐㄧㄝ2" + ], + "𢈼": [ + "ㄙㄨㄟ4" + ], + "𢈽": [ + "ㄓㄢ4" + ], + "𢈾": [ + "ㄘㄡ1" + ], + "𢉁": [ + "ㄅㄥ1" + ], + "𢉂": [ + "ㄍㄨㄢ1" + ], + "𢉃": [ + "ㄕㄜ3" + ], + "𢉅": [ + "ㄐㄧㄣ4" + ], + "𢉆": [ + "ㄉㄧ4" + ], + "𢉑": [ + "ㄉㄢ1" + ], + "𢉓": [ + "ㄋㄞ3" + ], + "𢉕": [ + "ㄋㄡ2" + ], + "𢉗": [ + "ㄐㄧ2" + ], + "𢉘": [ + "ㄧㄢ2" + ], + "𢉚": [ + "ㄋㄡ4" + ], + "𢉜": [ + "ㄉㄨ4", + "ㄊㄨ2" + ], + "𢉝": [ + "ㄨㄟ4" + ], + "𢉞": [ + "ㄆㄧㄢ1" + ], + "𢉢": [ + "ㄏㄨ2" + ], + "𢉤": [ + "ㄐㄧㄚ4" + ], + "𢉥": [ + "ㄧㄝ4" + ], + "𢉦": [ + "ㄐㄩㄣ3" + ], + "𢉧": [ + "ㄌㄢ2", + "ㄌㄧㄢ2" + ], + "𢉨": [ + "ㄌㄚ4" + ], + "𢉩": [ + "ㄧㄣ1" + ], + "𢉭": [ + "ㄊㄨㄟ2" + ], + "𢉵": [ + "ㄋㄠ3" + ], + "𢉺": [ + "ㄗㄨ3" + ], + "𢉿": [ + "ㄇㄚ4" + ], + "𢊀": [ + "ㄙ1", + "ㄇㄚ4" + ], + "𢊁": [ + "ㄓ4" + ], + "𢊄": [ + "ㄏㄨㄟ1" + ], + "𢊅": [ + "ㄓㄨㄟ4" + ], + "𢊇": [ + "ㄏㄨㄟ4" + ], + "𢊍": [ + "ㄔㄨ2" + ], + "𢊏": [ + "ㄔㄜ4" + ], + "𢊒": [ + "ㄒㄧㄡ1" + ], + "𢊓": [ + "ㄌㄢ2" + ], + "𢊕": [ + "ㄘㄨㄥ1" + ], + "𢊖": [ + "ㄕㄣ4" + ], + "𢊗": [ + "ㄇㄛ4" + ], + "𢊘": [ + "ㄧ1" + ], + "𢊙": [ + "ㄧㄠ2" + ], + "𢊚": [ + "ㄒㄧ3" + ], + "𢊛": [ + "ㄗㄨㄟ3" + ], + "𢊜": [ + "ㄅㄧㄥ4" + ], + "𢊧": [ + "ㄩ2" + ], + "𢊩": [ + "ㄌㄨ4" + ], + "𢊮": [ + "ㄊㄨㄟ2" + ], + "𢊯": [ + "ㄨㄟ3" + ], + "𢊱": [ + "ㄈㄣ2" + ], + "𢊲": [ + "ㄕㄣ3" + ], + "𢊻": [ + "ㄌㄧㄠ2" + ], + "𢋂": [ + "ㄕㄨ3" + ], + "𢋃": [ + "ㄉㄢ3" + ], + "𢋄": [ + "ㄐㄩㄢ3" + ], + "𢋅": [ + "ㄩ2" + ], + "𢋆": [ + "ㄒㄧㄣ4" + ], + "𢋇": [ + "ㄧㄠ2" + ], + "𢋈": [ + "ㄙㄨ1" + ], + "𢋒": [ + "ㄏㄨㄛ2" + ], + "𢋔": [ + "ㄑㄧㄢ1" + ], + "𢋚": [ + "ㄇㄚ2" + ], + "𢋝": [ + "ㄎㄞ3" + ], + "𢋡": [ + "ㄌㄨ3" + ], + "𢋣": [ + "ㄧㄡ1" + ], + "𢋮": [ + "ㄒㄧㄢ4" + ], + "𢋹": [ + "ㄨ2" + ], + "𢋻": [ + "ㄧㄣ3" + ], + "𢋼": [ + "ㄒㄧ1" + ], + "𢋿": [ + "ㄓㄞ1" + ], + "𢌀": [ + "ㄒㄧㄝ4" + ], + "𢌄": [ + "ㄑㄩ2" + ], + "𢌈": [ + "ㄌㄧ2" + ], + "𢌍": [ + "ㄑㄧㄢ1" + ], + "𢌔": [ + "ㄌㄧㄥ2" + ], + "𢌕": [ + "ㄌㄨㄢ2" + ], + "𢌚": [ + "ㄔㄢ1" + ], + "𢌦": [ + "ㄓㄥ4" + ], + "𢌨": [ + "ㄧㄢ2" + ], + "𢌲": [ + "ㄧㄣ4" + ], + "𢌳": [ + "ㄎㄨㄟ2" + ], + "𢌷": [ + "ㄑㄩ1" + ], + "𢌹": [ + "ㄈㄨ2" + ], + "𢌻": [ + "ㄩ4" + ], + "𢍁": [ + "ㄑㄧ2", + "ㄅㄧ4" + ], + "𢍆": [ + "ㄑㄧ4", + "ㄑㄧㄝ4" + ], + "𢍇": [ + "ㄐㄧ4" + ], + "𢍈": [ + "ㄩㄢ1", + "ㄗㄤ4" + ], + "𢍎": [ + "ㄍㄠ4" + ], + "𢍏": [ + "ㄐㄩㄢ4" + ], + "𢍑": [ + "ㄑㄧ2" + ], + "𢍓": [ + "ㄍㄞ3" + ], + "𢍕": [ + "ㄑㄩㄢ4" + ], + "𢍚": [ + "ㄨㄟ4" + ], + "𢍧": [ + "ㄓ4" + ], + "𢍫": [ + "ㄐㄧㄢ3" + ], + "𢍭": [ + "ㄙ4" + ], + "𢍰": [ + "ㄧ4", + "ㄗㄜ2" + ], + "𢍱": [ + "ㄑㄧㄢ1" + ], + "𢍼": [ + "ㄌㄧ4" + ], + "𢍿": [ + "ㄗㄤ1" + ], + "𢎀": [ + "ㄧ4" + ], + "𢎂": [ + "ㄘㄞ2" + ], + "𢎃": [ + "ㄧ4" + ], + "𢎄": [ + "ㄍㄜ1" + ], + "𢎆": [ + "ㄉㄧㄝ2" + ], + "𢎈": [ + "ㄓ1" + ], + "𢎉": [ + "ㄧ4" + ], + "𢎋": [ + "ㄗㄞ1" + ], + "𢎌": [ + "ㄉㄞ4" + ], + "𢎎": [ + "ㄙㄨ4" + ], + "𢎔": [ + "ㄐㄧㄝ2" + ], + "𢎕": [ + "ㄔㄣ4" + ], + "𢎖": [ + "ㄑㄩ2" + ], + "𢎘": [ + "ㄏㄢ4" + ], + "𢎙": [ + "ㄒㄧㄢ2" + ], + "𢎠": [ + "ㄑㄩㄢ2", + "ㄐㄩㄢ4" + ], + "𢎡": [ + "ㄐㄧㄝ2" + ], + "𢎥": [ + "ㄐㄩㄢ4" + ], + "𢎪": [ + "ㄉㄢ4" + ], + "𢎭": [ + "ㄐㄧㄣ1" + ], + "𢎴": [ + "ㄅㄧㄥ1" + ], + "𢎵": [ + "ㄏㄨ2" + ], + "𢎹": [ + "ㄐㄩㄝ2" + ], + "𢎻": [ + "ㄩ2" + ], + "𢏃": [ + "ㄌㄧ3" + ], + "𢏄": [ + "ㄑㄧㄤ2" + ], + "𢏅": [ + "ㄕㄨㄟ3" + ], + "𢏆": [ + "ㄎㄨ1" + ], + "𢏈": [ + "ㄓㄣ3" + ], + "𢏍": [ + "ㄈㄨ2" + ], + "𢏎": [ + "ㄕㄣ1" + ], + "𢏒": [ + "ㄔㄨㄟ2" + ], + "𢏕": [ + "ㄊㄨㄥ2" + ], + "𢏗": [ + "ㄧ4" + ], + "𢏙": [ + "ㄧㄤ2" + ], + "𢏜": [ + "ㄊㄨㄛ2" + ], + "𢏝": [ + "ㄓㄡ1" + ], + "𢏞": [ + "ㄐㄧ2" + ], + "𢏤": [ + "ㄒㄩㄣ4" + ], + "𢏦": [ + "ㄕㄣ3" + ], + "𢏧": [ + "ㄒㄩㄢ1" + ], + "𢏭": [ + "ㄌㄧㄡ2" + ], + "𢏮": [ + "ㄩㄢ1" + ], + "𢏯": [ + "ㄏㄨ2", + "ㄕ3" + ], + "𢏰": [ + "ㄓㄥ4" + ], + "𢏳": [ + "ㄆㄥ1", + "ㄅㄥ1" + ], + "𢏷": [ + "ㄐㄩㄝ2" + ], + "𢐂": [ + "ㄓ4" + ], + "𢐃": [ + "ㄆㄧㄢ1" + ], + "𢐄": [ + "ㄩㄢ4" + ], + "𢐆": [ + "ㄐㄧㄢ1" + ], + "𢐊": [ + "ㄆㄤ2" + ], + "𢐎": [ + "ㄓㄨㄢ4" + ], + "𢐐": [ + "ㄒㄧㄢ2" + ], + "𢐒": [ + "ㄅㄥ1" + ], + "𢐔": [ + "ㄘㄨㄥ1" + ], + "𢐖": [ + "ㄇㄛ4" + ], + "𢐚": [ + "ㄍㄨㄛ2" + ], + "𢐞": [ + "ㄔㄥ2" + ], + "𢐟": [ + "ㄑㄧㄠ1" + ], + "𢐦": [ + "ㄅㄧ4" + ], + "𢐩": [ + "ㄑㄧㄤ3" + ], + "𢐫": [ + "ㄓㄡ1" + ], + "𢐲": [ + "ㄈㄢ2" + ], + "𢐳": [ + "ㄅㄧㄝ1" + ], + "𢐾": [ + "ㄅㄛ2" + ], + "𢐿": [ + "ㄖㄤ3", + "ㄖㄨㄥ3" + ], + "𢑅": [ + "ㄉㄧㄥ3" + ], + "𢑆": [ + "ㄑㄩㄢ2" + ], + "𢑇": [ + "ㄐㄧㄡ4" + ], + "𢑈": [ + "ㄧㄠ2" + ], + "𢑓": [ + "ㄒㄧㄚ2" + ], + "𢑖": [ + "ㄗㄠ3" + ], + "𢑝": [ + "ㄉㄢ1" + ], + "𢑟": [ + "ㄨ3" + ], + "𢑠": [ + "ㄊㄨㄛ2" + ], + "𢑢": [ + "ㄏㄨ1" + ], + "𢑧": [ + "ㄒㄧ1" + ], + "𢑬": [ + "ㄌㄞ2" + ], + "𢑮": [ + "ㄈㄟ1" + ], + "𢑹": [ + "ㄏㄨ2" + ], + "𢒆": [ + "ㄒㄧㄢ1" + ], + "𢒉": [ + "ㄕㄢ3" + ], + "𢒍": [ + "ㄈㄟ4" + ], + "𢒐": [ + "ㄘㄨㄛ4" + ], + "𢒒": [ + "ㄈㄨ2" + ], + "𢒔": [ + "ㄔㄨ4" + ], + "𢒝": [ + "ㄉㄧㄡ1" + ], + "𢒞": [ + "ㄌㄢ4" + ], + "𢒩": [ + "ㄒㄧ3" + ], + "𢒯": [ + "ㄅㄧㄠ1" + ], + "𢒰": [ + "ㄩ4" + ], + "𢒱": [ + "ㄙㄨㄟ4" + ], + "𢒲": [ + "ㄒㄧ3" + ], + "𢒷": [ + "ㄆㄡ2" + ], + "𢒹": [ + "ㄕㄢ3" + ], + "𢒾": [ + "ㄐㄧㄠ4" + ], + "𢓀": [ + "ㄧ4" + ], + "𢓃": [ + "ㄨㄢ2" + ], + "𢓄": [ + "ㄐㄧ3" + ], + "𢓆": [ + "ㄨㄢ2" + ], + "𢓇": [ + "ㄊㄨㄟ4", + "ㄋㄚ4" + ], + "𢓋": [ + "ㄤ4" + ], + "𢓍": [ + "ㄊㄧㄢ1" + ], + "𢓎": [ + "ㄔ2" + ], + "𢓒": [ + "ㄖㄢ2" + ], + "𢓔": [ + "ㄙㄚ4" + ], + "𢓕": [ + "ㄧㄣ2" + ], + "𢓖": [ + "ㄆㄧ1" + ], + "𢓗": [ + "ㄘ3" + ], + "𢓘": [ + "ㄊㄨㄥ2", + "ㄊㄠ1" + ], + "𢓙": [ + "ㄧㄣ3" + ], + "𢓜": [ + "ㄍㄜ2" + ], + "𢓝": [ + "ㄊㄧㄠ1" + ], + "𢓞": [ + "ㄓㄥ1" + ], + "𢓟": [ + "ㄓㄡ4" + ], + "𢓡": [ + "ㄧ2", + "ㄊㄧ2" + ], + "𢓢": [ + "ㄎㄨㄚ4" + ], + "𢓣": [ + "ㄙㄨㄥ1" + ], + "𢓧": [ + "ㄉㄧ4" + ], + "𢓬": [ + "ㄒㄧㄝ2" + ], + "𢓮": [ + "ㄒㄧㄠ1" + ], + "𢓯": [ + "ㄍㄨㄤ4", + "ㄨㄤ3" + ], + "𢓰": [ + "ㄊㄨㄛ3" + ], + "𢓱": [ + "ㄈㄥ1", + "ㄈㄥ4" + ], + "𢓲": [ + "ㄨ2", + "ㄏㄨ2" + ], + "𢓵": [ + "ㄒㄧㄡ4" + ], + "𢓿": [ + "ㄧㄡ2" + ], + "𢔁": [ + "ㄌㄧㄥ2" + ], + "𢔂": [ + "ㄧㄢ4" + ], + "𢔅": [ + "ㄉㄨㄥ1" + ], + "𢔆": [ + "ㄑㄧ4" + ], + "𢔇": [ + "ㄊㄠ2" + ], + "𢔈": [ + "ㄏㄢ2" + ], + "𢔊": [ + "ㄔ2" + ], + "𢔋": [ + "ㄙㄨㄥ1" + ], + "𢔑": [ + "ㄑㄩㄢ3" + ], + "𢔔": [ + "ㄏㄢ4", + "ㄐㄧ2" + ], + "𢔟": [ + "ㄖㄡ3", + "ㄋㄧㄡ3" + ], + "𢔠": [ + "ㄑㄧ4" + ], + "𢔡": [ + "ㄎㄞ1" + ], + "𢔢": [ + "ㄩ2" + ], + "𢔣": [ + "ㄔㄚ1", + "ㄕㄚ4" + ], + "𢔤": [ + "ㄔㄥ4" + ], + "𢔥": [ + "ㄩ4" + ], + "𢔧": [ + "ㄅㄧㄥ4" + ], + "𢔩": [ + "ㄘㄨㄥ1", + "ㄙㄨㄥ3" + ], + "𢔪": [ + "ㄓㄨ1" + ], + "𢔬": [ + "ㄩ4" + ], + "𢔱": [ + "ㄐㄩㄝ2", + "ㄑㄩㄝ4" + ], + "𢔲": [ + "ㄌㄧㄡ4" + ], + "𢔳": [ + "ㄙㄠ1" + ], + "𢔴": [ + "ㄩ4" + ], + "𢕅": [ + "ㄕㄨㄞ4" + ], + "𢕋": [ + "ㄩㄢ4" + ], + "𢕎": [ + "ㄓㄤ1" + ], + "𢕑": [ + "ㄕㄨㄞ4" + ], + "𢕓": [ + "ㄔㄨ3" + ], + "𢕔": [ + "ㄓㄤ1", + "ㄓㄤ4" + ], + "𢕕": [ + "ㄙㄢ3", + "ㄙㄢ4" + ], + "𢕖": [ + "ㄒㄧㄢ1" + ], + "𢕘": [ + "ㄘㄨㄟ1" + ], + "𢕙": [ + "ㄇㄥ3" + ], + "𢕚": [ + "ㄉㄧ2" + ], + "𢕞": [ + "ㄓ4" + ], + "𢕟": [ + "ㄠ4" + ], + "𢕦": [ + "ㄒㄧㄡ1" + ], + "𢕨": [ + "ㄆㄧㄢ2" + ], + "𢕪": [ + "ㄐㄧㄠ4" + ], + "𢕫": [ + "ㄎㄨㄢ3" + ], + "𢕬": [ + "ㄙㄚ4" + ], + "𢕭": [ + "ㄒㄧㄢ4" + ], + "𢕮": [ + "ㄓㄚ4" + ], + "𢕯": [ + "ㄉㄧㄢ4" + ], + "𢕷": [ + "ㄧ2" + ], + "𢕺": [ + "ㄏㄨㄟ4" + ], + "𢕻": [ + "ㄕㄢ4" + ], + "𢖄": [ + "ㄔㄨㄥ2" + ], + "𢖅": [ + "ㄧ2" + ], + "𢖆": [ + "ㄒㄧㄝ4" + ], + "𢖇": [ + "ㄓ4" + ], + "𢖈": [ + "ㄊㄧㄠ4" + ], + "𢖊": [ + "ㄆㄧㄥ1" + ], + "𢖋": [ + "ㄒㄧㄢ2" + ], + "𢖎": [ + "ㄒㄧㄢ1" + ], + "𢖏": [ + "ㄙㄨ4" + ], + "𢖑": [ + "ㄘㄨㄢ2" + ], + "𢖗": [ + "ㄙㄨㄥ3" + ], + "𢖛": [ + "ㄏㄟ1" + ], + "𢖝": [ + "ㄒㄧㄢ4" + ], + "𢖟": [ + "ㄧㄡ2" + ], + "𢖡": [ + "ㄩ4" + ], + "𢖤": [ + "ㄊㄞ2" + ], + "𢖦": [ + "ㄐㄩㄝ2" + ], + "𢖧": [ + "ㄋㄤ4" + ], + "𢖩": [ + "ㄉㄧㄢ1" + ], + "𢖫": [ + "ㄧ4" + ], + "𢖬": [ + "ㄅㄧ4" + ], + "𢖳": [ + "ㄒㄩ1" + ], + "𢖴": [ + "ㄧ4" + ], + "𢖵": [ + "ㄖㄨ4" + ], + "𢖷": [ + "ㄍㄨㄥ1" + ], + "𢖺": [ + "ㄧ4" + ], + "𢖿": [ + "ㄓ4" + ], + "𢗀": [ + "ㄒㄧㄣ1" + ], + "𢗂": [ + "ㄐㄧ4" + ], + "𢗄": [ + "ㄒㄧㄚ4" + ], + "𢗈": [ + "ㄓㄠ1" + ], + "𢗉": [ + "ㄋㄜ4" + ], + "𢗊": [ + "ㄒㄧㄝ4", + "ㄐㄧㄚ2" + ], + "𢗎": [ + "ㄧ4" + ], + "𢗫": [ + "ㄈㄨ3" + ], + "𢗭": [ + "ㄕㄜ4" + ], + "𢗯": [ + "ㄩㄢ2" + ], + "𢗰": [ + "ㄈㄢ3" + ], + "𢗲": [ + "ㄈㄨ1" + ], + "𢗳": [ + "ㄨ4" + ], + "𢗴": [ + "ㄒㄧ1" + ], + "𢗵": [ + "ㄏㄨㄥ3" + ], + "𢗹": [ + "ㄐㄧ4" + ], + "𢗺": [ + "ㄔㄤ4" + ], + "𢗿": [ + "ㄇㄛ4" + ], + "𢘀": [ + "ㄆㄟ4" + ], + "𢘃": [ + "ㄇㄨ2", + "ㄨ3" + ], + "𢘄": [ + "ㄑㄧㄡ2" + ], + "𢘅": [ + "ㄇㄠ4", + "ㄖㄡ2" + ], + "𢘇": [ + "ㄉㄚ2", + "ㄉㄢ4" + ], + "𢘉": [ + "ㄒㄧㄚ2" + ], + "𢘊": [ + "ㄕㄣ1" + ], + "𢘋": [ + "ㄊㄜ4" + ], + "𢘌": [ + "ㄏㄨㄥ2" + ], + "𢘍": [ + "ㄅㄧ4", + "ㄈㄨ2" + ], + "𢘝": [ + "ㄋㄧ3" + ], + "𢘟": [ + "ㄑㄧㄠ2" + ], + "𢘧": [ + "ㄖㄨㄢ3" + ], + "𢘸": [ + "ㄐㄧㄤ4" + ], + "𢘹": [ + "ㄔㄚ1" + ], + "𢘺": [ + "ㄇㄧ3", + "ㄇㄧ2" + ], + "𢘽": [ + "ㄧ4" + ], + "𢘿": [ + "ㄙㄨㄛ1" + ], + "𢙁": [ + "ㄨ4" + ], + "𢙂": [ + "ㄒㄩㄢ1" + ], + "𢙅": [ + "ㄒㄧ2" + ], + "𢙇": [ + "ㄧ3" + ], + "𢙐": [ + "ㄋㄠ2" + ], + "𢙓": [ + "ㄨㄟ4" + ], + "𢙮": [ + "ㄎㄢ4" + ], + "𢙱": [ + "ㄌㄨㄥ4" + ], + "𢙲": [ + "ㄌㄩ3" + ], + "𢙳": [ + "ㄓㄨㄤ3" + ], + "𢙺": [ + "ㄓ4" + ], + "𢙼": [ + "ㄒㄧㄥ4" + ], + "𢙾": [ + "ㄍㄥ3" + ], + "𢙿": [ + "ㄐㄧㄣ4" + ], + "𢚀": [ + "ㄒㄧㄢ4" + ], + "𢚁": [ + "ㄐㄧ4" + ], + "𢚂": [ + "ㄘㄨㄛ4" + ], + "𢚄": [ + "ㄌㄠ2" + ], + "𢚅": [ + "ㄈㄣ3" + ], + "𢚆": [ + "ㄐㄩ4" + ], + "𢚋": [ + "ㄇㄧㄠ4" + ], + "𢚌": [ + "ㄒㄧㄚ2" + ], + "𢚑": [ + "ㄙㄨ4" + ], + "𢚨": [ + "ㄓ4" + ], + "𢚪": [ + "ㄏㄨ4" + ], + "𢚫": [ + "ㄎㄡ4" + ], + "𢚭": [ + "ㄙㄨㄛ3" + ], + "𢚮": [ + "ㄋㄧ4" + ], + "𢚺": [ + "ㄊㄥ1" + ], + "𢚻": [ + "ㄓㄨ4" + ], + "𢛁": [ + "ㄉㄚ2", + "ㄔㄜ4" + ], + "𢛃": [ + "ㄑㄧㄡ2" + ], + "𢛄": [ + "ㄧㄚ4" + ], + "𢛆": [ + "ㄒㄧㄢ2" + ], + "𢛉": [ + "ㄋㄟ4" + ], + "𢛍": [ + "ㄓ3" + ], + "𢛎": [ + "ㄅㄧㄝ2" + ], + "𢛒": [ + "ㄔㄨㄥ3" + ], + "𢛓": [ + "ㄌㄢ2" + ], + "𢛔": [ + "ㄉㄨㄥ1" + ], + "𢛕": [ + "ㄑㄩㄣ1" + ], + "𢛖": [ + "ㄒㄧㄤ4" + ], + "𢛘": [ + "ㄒㄧㄠ2" + ], + "𢛙": [ + "ㄨㄢ3" + ], + "𢛚": [ + "ㄖㄨ4" + ], + "𢛛": [ + "ㄨㄤ4" + ], + "𢛜": [ + "ㄋㄧ4" + ], + "𢛞": [ + "ㄅㄞ1" + ], + "𢛟": [ + "ㄧㄚ4" + ], + "𢛥": [ + "ㄙ1" + ], + "𢛦": [ + "ㄧㄣ3" + ], + "𢛨": [ + "ㄩ4" + ], + "𢛮": [ + "ㄌㄧ2" + ], + "𢛯": [ + "ㄏㄨㄛ4" + ], + "𢜗": [ + "ㄅㄤ4" + ], + "𢜣": [ + "ㄒㄧ1" + ], + "𢜥": [ + "ㄐㄧㄡ1" + ], + "𢜨": [ + "ㄒㄧㄝ4", + "ㄉㄧㄝ2" + ], + "𢜩": [ + "ㄑㄧㄢ1" + ], + "𢜪": [ + "ㄋㄨㄛ4", + "ㄖㄨㄛ4" + ], + "𢜫": [ + "ㄒㄧㄥ3" + ], + "𢜬": [ + "ㄉㄨㄛ2" + ], + "𢜭": [ + "ㄐㄧ3" + ], + "𢜮": [ + "ㄨ3" + ], + "𢜯": [ + "ㄇㄨ2", + "ㄇㄡ2", + "ㄇㄨ3" + ], + "𢜰": [ + "ㄧㄢ4", + "ㄧㄢ3" + ], + "𢜱": [ + "ㄑㄧ4" + ], + "𢜲": [ + "ㄋㄚ2" + ], + "𢜳": [ + "ㄔ4" + ], + "𢜴": [ + "ㄏㄡ2" + ], + "𢜶": [ + "ㄙㄠ4" + ], + "𢜸": [ + "ㄋㄠ2" + ], + "𢜻": [ + "ㄔㄥ3" + ], + "𢜼": [ + "ㄔㄥ3" + ], + "𢜽": [ + "ㄎㄨㄟ2", + "ㄎㄨㄟ3" + ], + "𢜿": [ + "ㄐㄧㄚ4" + ], + "𢝀": [ + "ㄊㄨ2" + ], + "𢝁": [ + "ㄏㄨㄥ1" + ], + "𢝂": [ + "ㄉㄨ2" + ], + "𢝅": [ + "ㄒㄧㄚ2" + ], + "𢝆": [ + "ㄓㄨㄥ4" + ], + "𢝇": [ + "ㄏㄨㄛ4" + ], + "𢝈": [ + "ㄔㄨㄥ2" + ], + "𢝉": [ + "ㄉㄚ2" + ], + "𢝌": [ + "ㄇㄠ4" + ], + "𢝍": [ + "ㄧㄠ4" + ], + "𢝓": [ + "ㄐㄩㄢ1" + ], + "𢝬": [ + "ㄕ4" + ], + "𢝯": [ + "ㄧㄣ2" + ], + "𢝳": [ + "ㄍㄨ3" + ], + "𢝴": [ + "ㄨ4" + ], + "𢝸": [ + "ㄍㄨㄛ4" + ], + "𢝹": [ + "ㄊㄧ4" + ], + "𢝻": [ + "ㄏㄨㄥ1" + ], + "𢞇": [ + "ㄖㄜ3" + ], + "𢞉": [ + "ㄧ2" + ], + "𢞋": [ + "ㄊㄨㄣ3" + ], + "𢞏": [ + "ㄑㄩㄥ2" + ], + "𢞐": [ + "ㄏㄞ4" + ], + "𢞒": [ + "ㄑㄧ4" + ], + "𢞕": [ + "ㄏㄨㄛ4" + ], + "𢞖": [ + "ㄊㄧ4" + ], + "𢞗": [ + "ㄆㄧ1", + "ㄅㄧ1" + ], + "𢞚": [ + "ㄍㄥ3" + ], + "𢞜": [ + "ㄒㄧㄝ4" + ], + "𢞞": [ + "ㄇㄧ4", + "ㄇㄧ2" + ], + "𢞟": [ + "ㄍㄠ4" + ], + "𢞠": [ + "ㄊㄚ1" + ], + "𢞡": [ + "ㄒㄧㄤ3" + ], + "𢞣": [ + "ㄕㄨ1" + ], + "𢞦": [ + "ㄈㄨ2" + ], + "𢞬": [ + "ㄓㄨㄢ1" + ], + "𢞭": [ + "ㄌㄧㄡ4" + ], + "𢟅": [ + "ㄧㄡ2" + ], + "𢟊": [ + "ㄔㄥ3" + ], + "𢟋": [ + "ㄉㄨㄟ1" + ], + "𢟢": [ + "ㄌㄧ2" + ], + "𢟣": [ + "ㄧㄤ4" + ], + "𢟤": [ + "ㄌㄧ2" + ], + "𢟧": [ + "ㄌㄨ3" + ], + "𢟨": [ + "ㄇㄨ3" + ], + "𢟩": [ + "ㄙㄨㄟ4" + ], + "𢟪": [ + "ㄞ4", + "ㄒㄧ4" + ], + "𢟭": [ + "ㄎㄡ4" + ], + "𢟯": [ + "ㄓㄜ2", + "ㄕ4" + ], + "𢟰": [ + "ㄞ4" + ], + "𢟱": [ + "ㄊㄥ2" + ], + "𢟳": [ + "ㄌㄩ4" + ], + "𢟴": [ + "ㄊㄨㄟ2" + ], + "𢟵": [ + "ㄅㄧ1" + ], + "𢟾": [ + "ㄏㄨㄟ4" + ], + "𢟿": [ + "ㄏㄨㄢ2" + ], + "𢠛": [ + "ㄎㄨㄛ4" + ], + "𢠝": [ + "ㄒㄧㄣ1" + ], + "𢠡": [ + "ㄙㄠ4" + ], + "𢠫": [ + "ㄕㄨ4" + ], + "𢠬": [ + "ㄑㄩㄝ4" + ], + "𢠭": [ + "ㄅㄚ1" + ], + "𢠮": [ + "ㄊㄨㄟ4" + ], + "𢠲": [ + "ㄈㄨ4" + ], + "𢠳": [ + "ㄅㄧㄝ1" + ], + "𢠵": [ + "ㄊㄤ3" + ], + "𢠷": [ + "ㄒㄧㄤ4" + ], + "𢠹": [ + "ㄙ1", + "ㄒㄧ1" + ], + "𢠺": [ + "ㄅㄛ2" + ], + "𢠼": [ + "ㄇㄞ2" + ], + "𢠽": [ + "ㄉㄤ4" + ], + "𢠿": [ + "ㄍㄨㄟ4" + ], + "𢡀": [ + "ㄏㄟ1" + ], + "𢡁": [ + "ㄒㄧ1" + ], + "𢡂": [ + "ㄉㄤ4" + ], + "𢡃": [ + "ㄧ4" + ], + "𢡅": [ + "ㄅㄧ1" + ], + "𢡇": [ + "ㄍㄨ1" + ], + "𢡈": [ + "ㄘㄨㄟ4" + ], + "𢡉": [ + "ㄙㄜ4" + ], + "𢡍": [ + "ㄍㄜ2" + ], + "𢡎": [ + "ㄩ4" + ], + "𢡏": [ + "ㄋㄚ3" + ], + "𢡑": [ + "ㄌㄧ4" + ], + "𢡒": [ + "ㄓ4" + ], + "𢡰": [ + "ㄓㄠ4" + ], + "𢡴": [ + "ㄐㄧ1" + ], + "𢡵": [ + "ㄖㄨㄢ3" + ], + "𢡹": [ + "ㄔㄨㄥ4" + ], + "𢢂": [ + "ㄐㄧㄝ2" + ], + "𢢌": [ + "ㄔㄤ4" + ], + "𢢍": [ + "ㄓㄜ2" + ], + "𢢒": [ + "ㄙㄨ1", + "ㄙㄨ4" + ], + "𢢓": [ + "ㄩㄥ1" + ], + "𢢖": [ + "ㄑㄧ4" + ], + "𢢗": [ + "ㄓㄨㄛ2" + ], + "𢢚": [ + "ㄎㄞ4" + ], + "𢢜": [ + "ㄧㄝ4" + ], + "𢢞": [ + "ㄑㄧ4", + "ㄐㄧ4", + "ㄎㄨㄞ4" + ], + "𢢹": [ + "ㄒㄩㄥ4" + ], + "𢣉": [ + "ㄧ1" + ], + "𢣊": [ + "ㄔㄡ3" + ], + "𢣎": [ + "ㄊㄨㄢ3" + ], + "𢣏": [ + "ㄞ4" + ], + "𢣐": [ + "ㄆㄧㄣ1" + ], + "𢣓": [ + "ㄌㄧㄝ4" + ], + "𢣔": [ + "ㄇㄧㄢ2" + ], + "𢣕": [ + "ㄞ4", + "ㄔ1" + ], + "𢣗": [ + "ㄇㄛ3" + ], + "𢣘": [ + "ㄨㄟ4" + ], + "𢣙": [ + "ㄧㄥ4" + ], + "𢣚": [ + "ㄋㄧ3" + ], + "𢣞": [ + "ㄅㄛ2" + ], + "𢣠": [ + "ㄌㄧㄡ4" + ], + "𢣳": [ + "ㄖㄨㄟ4" + ], + "𢣵": [ + "ㄔㄨ2" + ], + "𢣻": [ + "ㄌㄩ2" + ], + "𢣼": [ + "ㄔㄚ2" + ], + "𢣿": [ + "ㄔㄨ4" + ], + "𢤁": [ + "ㄙㄠ4" + ], + "𢤂": [ + "ㄌㄧ2" + ], + "𢤄": [ + "ㄙㄨㄥ1" + ], + "𢤆": [ + "ㄌㄧ4", + "ㄌㄚ4" + ], + "𢤋": [ + "ㄒㄧ4" + ], + "𢤍": [ + "ㄧㄢ1" + ], + "𢤎": [ + "ㄘㄨㄛ1", + "ㄗㄨㄛ3" + ], + "𢤐": [ + "ㄌㄧㄡ2" + ], + "𢤘": [ + "ㄇㄥ2" + ], + "𢤚": [ + "ㄓㄢ4" + ], + "𢤤": [ + "ㄓㄨㄤ4" + ], + "𢤧": [ + "ㄇㄧㄠ3" + ], + "𢤩": [ + "ㄌㄧ4" + ], + "𢤫": [ + "ㄐㄩ3" + ], + "𢤯": [ + "ㄒㄧㄝ4" + ], + "𢤰": [ + "ㄒㄧㄝ4" + ], + "𢤱": [ + "ㄌㄨㄥ3" + ], + "𢤲": [ + "ㄌㄨㄥ2" + ], + "𢥂": [ + "ㄊㄥ2" + ], + "𢥃": [ + "ㄓㄨ4" + ], + "𢥋": [ + "ㄔㄢ2" + ], + "𢥌": [ + "ㄒㄧㄢ3" + ], + "𢥏": [ + "ㄧㄥ2" + ], + "𢥐": [ + "ㄆㄟ4" + ], + "𢥘": [ + "ㄒㄧㄝ2" + ], + "𢥚": [ + "ㄐㄧㄠ4" + ], + "𢥞": [ + "ㄔㄨㄥ1" + ], + "𢥳": [ + "ㄏㄜ1" + ], + "𢥽": [ + "ㄊㄨㄣ3" + ], + "𢦅": [ + "ㄏㄨㄥ3", + "ㄓㄨㄤ4" + ], + "𢦈": [ + "ㄇㄢ2" + ], + "𢦊": [ + "ㄐㄧㄣ1" + ], + "𢦌": [ + "ㄑㄩ2" + ], + "𢦍": [ + "ㄉㄡ3" + ], + "𢦎": [ + "ㄑㄧㄡ2" + ], + "𢦏": [ + "ㄗㄞ1" + ], + "𢦑": [ + "ㄕㄥ1" + ], + "𢦒": [ + "ㄗㄞ1" + ], + "𢦕": [ + "ㄧ3", + "ㄓ2" + ], + "𢦚": [ + "ㄏㄨㄚ4" + ], + "𢦟": [ + "ㄎㄢ1" + ], + "𢦰": [ + "ㄩㄝ4" + ], + "𢦱": [ + "ㄋㄧ4" + ], + "𢦲": [ + "ㄙ1" + ], + "𢦴": [ + "ㄨㄛ3" + ], + "𢦸": [ + "ㄘㄢ2" + ], + "𢦺": [ + "ㄐㄧㄢ1" + ], + "𢦼": [ + "ㄇㄧㄝ4" + ], + "𢦽": [ + "ㄕㄠ2", + "ㄑㄧ1" + ], + "𢦿": [ + "ㄖㄨㄥ3" + ], + "𢧀": [ + "ㄍㄢ1" + ], + "𢧅": [ + "ㄑㄧㄤ2" + ], + "𢧇": [ + "ㄕㄨ2" + ], + "𢧈": [ + "ㄓㄨㄛ2" + ], + "𢧏": [ + "ㄕ1" + ], + "𢧑": [ + "ㄊㄧ4" + ], + "𢧖": [ + "ㄓㄚ2" + ], + "𢧗": [ + "ㄓㄢ1" + ], + "𢧝": [ + "ㄈㄣ4" + ], + "𢧞": [ + "ㄇㄧㄝ4" + ], + "𢧠": [ + "ㄗㄜ4" + ], + "𢧤": [ + "ㄓ4" + ], + "𢧥": [ + "ㄑㄧㄢ1" + ], + "𢧦": [ + "ㄏㄢ4" + ], + "𢧧": [ + "ㄍㄜ2" + ], + "𢧮": [ + "ㄘㄢ2" + ], + "𢧰": [ + "ㄍㄨㄛ2" + ], + "𢧱": [ + "ㄐㄧㄠ1" + ], + "𢧳": [ + "ㄩㄥ1" + ], + "𢧴": [ + "ㄠ2" + ], + "𢧻": [ + "ㄓㄚ2" + ], + "𢧽": [ + "ㄒㄧ4" + ], + "𢨁": [ + "ㄒㄩ1" + ], + "𢨂": [ + "ㄨ3" + ], + "𢨏": [ + "ㄐㄩㄝ2" + ], + "𢨐": [ + "ㄐㄧ2", + "ㄐㄧ1" + ], + "𢨒": [ + "ㄔ4" + ], + "𢨔": [ + "ㄨㄢ3" + ], + "𢨖": [ + "ㄇㄧㄝ4" + ], + "𢨗": [ + "ㄗㄟ2" + ], + "𢨜": [ + "ㄐㄧㄝ2" + ], + "𢨝": [ + "ㄕ2" + ], + "𢨟": [ + "ㄒㄧ1", + "ㄒㄧ4" + ], + "𢨡": [ + "ㄜ4" + ], + "𢨥": [ + "ㄏㄨ4" + ], + "𢨦": [ + "ㄏㄨ4" + ], + "𢨨": [ + "ㄌㄧ4" + ], + "𢨫": [ + "ㄔㄨ4" + ], + "𢨮": [ + "ㄧ1" + ], + "𢨯": [ + "ㄇㄠ3" + ], + "𢨰": [ + "ㄒㄩ1" + ], + "𢨱": [ + "ㄓㄨㄥ1" + ], + "𢨳": [ + "ㄧ4" + ], + "𢨺": [ + "ㄌㄧㄠ2" + ], + "𢨿": [ + "ㄐㄧㄢ1" + ], + "𢩀": [ + "ㄐㄧㄢ3" + ], + "𢩁": [ + "ㄐㄩ2" + ], + "𢩄": [ + "ㄓㄨ4" + ], + "𢩈": [ + "ㄨ3" + ], + "𢩏": [ + "ㄎㄜ4" + ], + "𢩐": [ + "ㄎㄜ3" + ], + "𢩑": [ + "ㄌㄧ4" + ], + "𢩒": [ + "ㄅㄧ3" + ], + "𢩓": [ + "ㄍㄜ2" + ], + "𢩕": [ + "ㄒㄩ1" + ], + "𢩖": [ + "ㄕㄚ1" + ], + "𢩗": [ + "ㄌㄧㄥ2" + ], + "𢩘": [ + "ㄎㄜ1" + ], + "𢩞": [ + "ㄅㄛ2" + ], + "𢩟": [ + "ㄅㄧㄢ1" + ], + "𢩠": [ + "ㄕㄨㄢ1" + ], + "𢩡": [ + "ㄑㄧ2" + ], + "𢩢": [ + "ㄕㄢ4" + ], + "𢩦": [ + "ㄐㄧ1" + ], + "𢩨": [ + "ㄑㄧㄠ3", + "ㄒㄧㄡ3" + ], + "𢩮": [ + "ㄧ4" + ], + "𢩯": [ + "ㄐㄩㄝ2" + ], + "𢩰": [ + "ㄓㄤ3" + ], + "𢩲": [ + "ㄒㄧㄣ4" + ], + "𢩷": [ + "ㄊㄨㄛ1" + ], + "𢩸": [ + "ㄏㄞ4" + ], + "𢩹": [ + "ㄒㄧㄚ4" + ], + "𢩻": [ + "ㄊㄨㄛ2" + ], + "𢩼": [ + "ㄧ2" + ], + "𢪃": [ + "ㄘㄨ4" + ], + "𢪇": [ + "ㄐㄧㄤ1" + ], + "𢪈": [ + "ㄋㄢ2" + ], + "𢪋": [ + "ㄆㄥ3", + "ㄈㄥ2", + "ㄅㄤ4" + ], + "𢪍": [ + "ㄐㄧㄝ2", + "ㄐㄧㄚ1" + ], + "𢪎": [ + "ㄒㄩㄝ1" + ], + "𢪏": [ + "ㄏㄨ2", + "ㄍㄨ3" + ], + "𢪥": [ + "ㄧㄡ3" + ], + "𢪦": [ + "ㄋㄨ3" + ], + "𢪧": [ + "ㄧㄝ4" + ], + "𢪪": [ + "ㄧㄣ4" + ], + "𢪬": [ + "ㄎㄨㄥ3" + ], + "𢪶": [ + "ㄒㄧㄠ1" + ], + "𢪷": [ + "ㄒㄧㄤ1" + ], + "𢪼": [ + "ㄋㄠ2" + ], + "𢪾": [ + "ㄓㄤ4" + ], + "𢫐": [ + "ㄐㄧㄝ2" + ], + "𢫓": [ + "ㄋㄨ3" + ], + "𢫔": [ + "ㄕㄢ4", + "ㄑㄩㄢ2" + ], + "𢫢": [ + "ㄐㄧㄚ2" + ], + "𢫧": [ + "ㄓㄡ3" + ], + "𢫨": [ + "ㄖㄨㄥ3", + "ㄖㄥ1" + ], + "𢫫": [ + "ㄌㄨ4" + ], + "𢫬": [ + "ㄙㄚ4", + "ㄘㄨㄛ1", + "ㄕㄚ1" + ], + "𢫭": [ + "ㄋㄨ4" + ], + "𢫯": [ + "ㄅㄛ2" + ], + "𢫰": [ + "ㄓㄜ2" + ], + "𢫲": [ + "ㄑㄧㄣ3" + ], + "𢫴": [ + "ㄘ1" + ], + "𢫵": [ + "ㄗㄨ2" + ], + "𢫷": [ + "ㄨㄛ3" + ], + "𢫸": [ + "ㄨ3", + "ㄨ1" + ], + "𢫻": [ + "ㄋㄧㄝ2" + ], + "𢫿": [ + "ㄒㄧㄢ1" + ], + "𢬀": [ + "ㄏㄨㄥ2" + ], + "𢬫": [ + "ㄊㄧㄥ4" + ], + "𢬬": [ + "ㄐㄧㄣ3" + ], + "𢬱": [ + "ㄐㄧㄝ2" + ], + "𢬲": [ + "ㄏㄜ4" + ], + "𢬳": [ + "ㄊㄨ1" + ], + "𢬴": [ + "ㄓㄜ2", + "ㄋㄧㄝ4", + "ㄉㄧㄝ2" + ], + "𢬵": [ + "ㄆㄧㄣ1", + "ㄆㄢ1", + "ㄅㄧㄢ4", + "ㄈㄢ1" + ], + "𢬶": [ + "ㄐㄧㄣ4" + ], + "𢬷": [ + "ㄋㄢ4" + ], + "𢬼": [ + "ㄉㄨㄣ4" + ], + "𢬾": [ + "ㄒㄧ1" + ], + "𢬿": [ + "ㄒㄧㄝ4" + ], + "𢭁": [ + "ㄒㄧ4" + ], + "𢭂": [ + "ㄌㄠ2" + ], + "𢭃": [ + "ㄉㄨㄢ3", + "ㄉㄡ4" + ], + "𢭄": [ + "ㄐㄧ4" + ], + "𢭅": [ + "ㄔㄚ1" + ], + "𢭆": [ + "ㄔㄡ1" + ], + "𢭈": [ + "ㄍㄤ1" + ], + "𢭎": [ + "ㄒㄧㄤ2" + ], + "𢭏": [ + "ㄉㄠ3" + ], + "𢭥": [ + "ㄅㄧㄢ4" + ], + "𢭦": [ + "ㄒㄧㄠ1" + ], + "𢭧": [ + "ㄒㄧㄣ1" + ], + "𢮁": [ + "ㄩ3" + ], + "𢮂": [ + "ㄒㄧㄢ2" + ], + "𢮃": [ + "ㄌㄧ2" + ], + "𢮄": [ + "ㄑㄧㄢ3" + ], + "𢮇": [ + "ㄇㄟ3" + ], + "𢮉": [ + "ㄑㄧㄠ1" + ], + "𢮊": [ + "ㄧㄚ4" + ], + "𢮌": [ + "ㄑㄧㄚ1", + "ㄐㄧㄝ2" + ], + "𢮍": [ + "ㄑㄩㄥ4" + ], + "𢮏": [ + "ㄅㄤ4" + ], + "𢮐": [ + "ㄓㄥ1" + ], + "𢮚": [ + "ㄗㄜ4" + ], + "𢮛": [ + "ㄕㄨㄢ4", + "ㄊㄨㄢ2" + ], + "𢮞": [ + "ㄙㄠ4" + ], + "𢯅": [ + "ㄌㄨ4", + "ㄐㄩㄝ2" + ], + "𢯉": [ + "ㄒㄧㄝ2" + ], + "𢯋": [ + "ㄈㄨ3" + ], + "𢯌": [ + "ㄓㄞ4" + ], + "𢯩": [ + "ㄗㄜ4" + ], + "𢯫": [ + "ㄉㄨㄢ4", + "ㄨㄢ3" + ], + "𢯭": [ + "ㄉㄥ4" + ], + "𢯮": [ + "ㄩ4" + ], + "𢯰": [ + "ㄌㄩ4" + ], + "𢯲": [ + "ㄨㄢ4" + ], + "𢯳": [ + "ㄒㄩㄝ2" + ], + "𢯴": [ + "ㄐㄧㄠ3" + ], + "𢯵": [ + "ㄩㄝ3" + ], + "𢯶": [ + "ㄓ4" + ], + "𢯷": [ + "ㄨㄟ3", + "ㄏㄨㄟ1" + ], + "𢯹": [ + "ㄍㄜ2" + ], + "𢯺": [ + "ㄐㄩ3" + ], + "𢯼": [ + "ㄧㄢ3" + ], + "𢯽": [ + "ㄘㄨㄛ4" + ], + "𢯾": [ + "ㄇㄠ4" + ], + "𢰆": [ + "ㄈㄨ2" + ], + "𢰇": [ + "ㄞ1" + ], + "𢰊": [ + "ㄒㄩㄢ1" + ], + "𢰌": [ + "ㄍㄤ1" + ], + "𢰍": [ + "ㄢ1" + ], + "𢰒": [ + "ㄐㄧ2" + ], + "𢰘": [ + "ㄆㄧ2" + ], + "𢰙": [ + "ㄓ3" + ], + "𢰜": [ + "ㄋㄨㄛ2" + ], + "𢰿": [ + "ㄆㄢ4" + ], + "𢱁": [ + "ㄧ2" + ], + "𢱄": [ + "ㄐㄧㄝ2" + ], + "𢱆": [ + "ㄗ1" + ], + "𢱈": [ + "ㄐㄧㄚ4" + ], + "𢱉": [ + "ㄨㄞ3" + ], + "𢱌": [ + "ㄐㄧㄚ4" + ], + "𢱟": [ + "ㄔㄢ3", + "ㄔ1" + ], + "𢱡": [ + "ㄙㄨㄛ3" + ], + "𢱢": [ + "ㄙㄨㄛ3", + "ㄙㄜ4" + ], + "𢱣": [ + "ㄐㄧ2" + ], + "𢱤": [ + "ㄙㄨㄥ3" + ], + "𢱦": [ + "ㄊㄧ1" + ], + "𢱧": [ + "ㄆㄧ1" + ], + "𢱨": [ + "ㄆㄛ2" + ], + "𢱮": [ + "ㄇㄧ4" + ], + "𢱴": [ + "ㄧㄝ4" + ], + "𢱶": [ + "ㄑㄧㄣ4" + ], + "𢱷": [ + "ㄐㄧㄣ4" + ], + "𢱺": [ + "ㄐㄩㄝ1" + ], + "𢱽": [ + "ㄩㄢ1" + ], + "𢱾": [ + "ㄖㄨㄢ2" + ], + "𢲔": [ + "ㄅㄢ4", + "ㄅㄢ1", + "ㄆㄢ1" + ], + "𢲰": [ + "ㄅㄧㄣ1" + ], + "𢲴": [ + "ㄨㄟ4" + ], + "𢲵": [ + "ㄗㄠ4" + ], + "𢲶": [ + "ㄑㄧㄝ4" + ], + "𢲷": [ + "ㄙㄡ1" + ], + "𢲸": [ + "ㄌㄨ3" + ], + "𢲼": [ + "ㄉㄧㄝ2" + ], + "𢲽": [ + "ㄔㄨㄞ1" + ], + "𢲾": [ + "ㄅㄧ4" + ], + "𢲿": [ + "ㄓㄨ2" + ], + "𢳀": [ + "ㄇㄚ1", + "ㄇㄛ2" + ], + "𢳁": [ + "ㄈㄟ4" + ], + "𢳂": [ + "ㄆㄧㄝ1" + ], + "𢳃": [ + "ㄧㄣ4" + ], + "𢳄": [ + "ㄒㄩㄢ4", + "ㄒㄩㄢ2" + ], + "𢳆": [ + "ㄠ4", + "ㄠ2" + ], + "𢳇": [ + "ㄓㄨㄛ2", + "ㄗㄨ2" + ], + "𢳈": [ + "ㄗㄨ2" + ], + "𢳋": [ + "ㄅㄧ3" + ], + "𢳑": [ + "ㄌㄤ4" + ], + "𢳓": [ + "ㄊㄧ4" + ], + "𢳙": [ + "ㄊㄧㄠ3" + ], + "𢳚": [ + "ㄐㄧㄢ1" + ], + "𢳟": [ + "ㄊㄨㄥ3" + ], + "𢳽": [ + "ㄉㄨㄛ1" + ], + "𢳾": [ + "ㄉㄨㄥ4" + ], + "𢴂": [ + "ㄅㄧㄢ3" + ], + "𢴠": [ + "ㄓ4" + ], + "𢴢": [ + "ㄈㄣ2" + ], + "𢴦": [ + "ㄎㄤ2" + ], + "𢴧": [ + "ㄓ4" + ], + "𢴨": [ + "ㄓㄞ1", + "ㄓ4", + "ㄔ4" + ], + "𢴩": [ + "ㄅㄧ4" + ], + "𢴪": [ + "ㄎㄨㄢ3" + ], + "𢴬": [ + "ㄅㄢ4" + ], + "𢴭": [ + "ㄐㄩㄝ1" + ], + "𢴮": [ + "ㄑㄩ1" + ], + "𢴰": [ + "ㄑㄧ1" + ], + "𢴱": [ + "ㄌㄟ2" + ], + "𢴲": [ + "ㄒㄧㄝ2", + "ㄐㄧㄝ2" + ], + "𢴳": [ + "ㄊㄤ1" + ], + "𢴼": [ + "ㄙㄡ1" + ], + "𢴾": [ + "ㄅㄟ4" + ], + "𢵇": [ + "ㄧㄤ4" + ], + "𢵈": [ + "ㄐㄧㄢ3", + "ㄓㄢ3" + ], + "𢵥": [ + "ㄗㄠ4" + ], + "𢶀": [ + "ㄓㄨㄞ4", + "ㄔㄨㄞ2" + ], + "𢶃": [ + "ㄈㄢ2" + ], + "𢶅": [ + "ㄕㄜ2" + ], + "𢶇": [ + "ㄑㄩㄥ2" + ], + "𢶉": [ + "ㄆㄛ4" + ], + "𢶋": [ + "ㄊㄧㄝ3" + ], + "𢶌": [ + "ㄕㄚ1" + ], + "𢶍": [ + "ㄗㄚ2", + "ㄙㄚ4" + ], + "𢶑": [ + "ㄋㄧㄠ3" + ], + "𢶒": [ + "ㄍㄨㄞ4" + ], + "𢶓": [ + "ㄘㄨㄟ3" + ], + "𢶡": [ + "ㄑㄧㄠ4", + "ㄐㄧㄠ3" + ], + "𢶣": [ + "ㄉㄧㄝ2" + ], + "𢶳": [ + "ㄆㄧㄣ1" + ], + "𢶴": [ + "ㄘ2" + ], + "𢶶": [ + "ㄅㄤ4" + ], + "𢷍": [ + "ㄧㄣ4" + ], + "𢷑": [ + "ㄒㄧㄢ3" + ], + "𢷔": [ + "ㄧ3" + ], + "𢷕": [ + "ㄇㄧㄠ3" + ], + "𢷖": [ + "ㄉㄨㄢ3" + ], + "𢷗": [ + "ㄓㄡ4" + ], + "𢷙": [ + "ㄎㄨㄥ1" + ], + "𢷢": [ + "ㄓㄤ1" + ], + "𢷶": [ + "ㄌㄧㄡ2" + ], + "𢷸": [ + "ㄓ3" + ], + "𢷹": [ + "ㄔㄢ3" + ], + "𢷺": [ + "ㄉㄨ2" + ], + "𢷻": [ + "ㄩㄢ2" + ], + "𢷾": [ + "ㄙㄨㄛ4", + "ㄘㄜ4" + ], + "𢷿": [ + "ㄐㄧㄝ2" + ], + "𢸀": [ + "ㄌㄧ4" + ], + "𢸁": [ + "ㄍㄨㄥ3" + ], + "𢸌": [ + "ㄅㄤ1" + ], + "𢸗": [ + "ㄍㄨㄛ2" + ], + "𢸘": [ + "ㄌㄧㄠ2" + ], + "𢸙": [ + "ㄕㄣ3" + ], + "𢸣": [ + "ㄋㄧㄠ3" + ], + "𢸥": [ + "ㄘㄨㄢ4" + ], + "𢸦": [ + "ㄨㄟ3" + ], + "𢸨": [ + "ㄊㄨㄛ1" + ], + "𢸫": [ + "ㄙㄨ1" + ], + "𢸭": [ + "ㄌㄨㄥ2" + ], + "𢸳": [ + "ㄒㄧㄠ1" + ], + "𢸴": [ + "ㄧㄢ3", + "ㄧㄢ2" + ], + "𢹃": [ + "ㄑㄧㄥ3" + ], + "𢹍": [ + "ㄒㄧ1" + ], + "𢹏": [ + "ㄩ2" + ], + "𢹑": [ + "ㄓㄥ4", + "ㄓㄥ1" + ], + "𢹒": [ + "ㄒㄧㄝ4" + ], + "𢹓": [ + "ㄔㄞ1" + ], + "𢹔": [ + "ㄈㄣ4" + ], + "𢹖": [ + "ㄍㄨㄛ2" + ], + "𢹘": [ + "ㄐㄧㄥ3" + ], + "𢹙": [ + "ㄌㄢ4" + ], + "𢹚": [ + "ㄒㄧㄢ1" + ], + "𢹝": [ + "ㄌㄧㄥ2" + ], + "𢹮": [ + "ㄌㄟ3" + ], + "𢹲": [ + "ㄐㄩㄣ4" + ], + "𢹳": [ + "ㄒㄧㄠ4" + ], + "𢹼": [ + "ㄗㄚ2" + ], + "𢺄": [ + "ㄍㄨㄢ1" + ], + "𢺅": [ + "ㄑㄧㄝ4" + ], + "𢺆": [ + "ㄌㄨㄛ4" + ], + "𢺇": [ + "ㄧㄠ4" + ], + "𢺈": [ + "ㄌㄨㄢ2" + ], + "𢺉": [ + "ㄊㄚ4" + ], + "𢺑": [ + "ㄌㄨㄛ4" + ], + "𢺞": [ + "ㄅㄚ3" + ], + "𢺟": [ + "ㄔㄢ4" + ], + "𢺡": [ + "ㄓㄨㄛ2" + ], + "𢺫": [ + "ㄊㄧㄠ3" + ], + "𢺯": [ + "ㄨㄢ1" + ], + "𢺰": [ + "ㄌㄧㄥ2", + "ㄌㄧㄥ4" + ], + "𢺴": [ + "ㄩ4" + ], + "𢺵": [ + "ㄑㄧ4", + "ㄑㄧ3" + ], + "𢺷": [ + "ㄑㄧ2" + ], + "𢺼": [ + "ㄐㄧ4" + ], + "𢺽": [ + "ㄅㄛ2", + "ㄐㄧㄠ4" + ], + "𢺿": [ + "ㄕ1" + ], + "𢻀": [ + "ㄈㄨ3" + ], + "𢻂": [ + "ㄍㄨㄟ1" + ], + "𢻅": [ + "ㄉㄧㄢ3" + ], + "𢻇": [ + "ㄏㄠ1" + ], + "𢻉": [ + "ㄍㄞ3" + ], + "𢻋": [ + "ㄑㄧ2" + ], + "𢻓": [ + "ㄔㄥ2" + ], + "𢻔": [ + "ㄏㄨㄟ4" + ], + "𢻗": [ + "ㄒㄧㄚ2", + "ㄍㄨㄟ1" + ], + "𢻘": [ + "ㄕ2" + ], + "𢻙": [ + "ㄓ4" + ], + "𢻚": [ + "ㄑㄧ2" + ], + "𢻜": [ + "ㄏㄞ4" + ], + "𢻟": [ + "ㄐㄧㄠ3" + ], + "𢻠": [ + "ㄌㄧ4" + ], + "𢻢": [ + "ㄌㄧㄠ3" + ], + "𢻤": [ + "ㄑㄧㄠ1", + "ㄑㄧㄠ2" + ], + "𢻨": [ + "ㄙㄚ4" + ], + "𢻪": [ + "ㄑㄧ1" + ], + "𢻫": [ + "ㄕ1" + ], + "𢻮": [ + "ㄐㄧㄝ2", + "ㄈㄨ2" + ], + "𢻵": [ + "ㄅㄟ4", + "ㄌㄨ4" + ], + "𢻶": [ + "ㄅㄧㄢ1" + ], + "𢻷": [ + "ㄅㄚ1" + ], + "𢻸": [ + "ㄐㄩㄣ1" + ], + "𢻹": [ + "ㄆㄧ1" + ], + "𢻼": [ + "ㄉㄢ3" + ], + "𢻿": [ + "ㄊㄤ2" + ], + "𢼀": [ + "ㄎㄨㄟ3" + ], + "𢼁": [ + "ㄎㄨ1" + ], + "𢼃": [ + "ㄎㄡ3" + ], + "𢼉": [ + "ㄕ1" + ], + "𢼊": [ + "ㄕ1", + "ㄊㄨㄛ2" + ], + "𢼋": [ + "ㄐㄧ1" + ], + "𢼌": [ + "ㄅㄠ4" + ], + "𢼐": [ + "ㄎㄜ3" + ], + "𢼑": [ + "ㄎㄨㄤ1" + ], + "𢼖": [ + "ㄇㄧㄣ3" + ], + "𢼙": [ + "ㄌㄧㄠ2" + ], + "𢼚": [ + "ㄜ4" + ], + "𢼛": [ + "ㄍㄜ2", + "ㄍㄨㄛ2", + "ㄜ4" + ], + "𢼟": [ + "ㄨㄤ3" + ], + "𢼠": [ + "ㄉㄨㄛ2" + ], + "𢼣": [ + "ㄑㄧㄚ4" + ], + "𢼤": [ + "ㄏㄨㄚ2" + ], + "𢼦": [ + "ㄏㄨㄥ3" + ], + "𢼩": [ + "ㄆㄥ1" + ], + "𢼫": [ + "ㄐㄧㄠ4" + ], + "𢼰": [ + "ㄑㄩ1" + ], + "𢼱": [ + "ㄗ4" + ], + "𢼲": [ + "ㄓㄡ4" + ], + "𢼳": [ + "ㄎㄨㄤ1" + ], + "𢼵": [ + "ㄕㄚ1" + ], + "𢼷": [ + "ㄐㄧ4" + ], + "𢼸": [ + "ㄨㄟ1", + "ㄨㄟ2" + ], + "𢼹": [ + "ㄆㄨ1", + "ㄅㄨ3" + ], + "𢼺": [ + "ㄒㄩㄝ2" + ], + "𢼼": [ + "ㄕㄠ1" + ], + "𢽂": [ + "ㄌㄤ2" + ], + "𢽃": [ + "ㄓ3" + ], + "𢽄": [ + "ㄊㄧㄥ3" + ], + "𢽇": [ + "ㄉㄚ4" + ], + "𢽕": [ + "ㄧㄤ2" + ], + "𢽖": [ + "ㄐㄧㄣ4" + ], + "𢽗": [ + "ㄓ3" + ], + "𢽚": [ + "ㄓㄨㄛ2", + "ㄉㄨ1" + ], + "𢽜": [ + "ㄗㄚ2" + ], + "𢽝": [ + "ㄔㄢ2" + ], + "𢽢": [ + "ㄇㄠ4" + ], + "𢽦": [ + "ㄎㄨㄥ1" + ], + "𢽧": [ + "ㄓㄡ1" + ], + "𢽨": [ + "ㄏㄨ1" + ], + "𢽩": [ + "ㄆㄥ1" + ], + "𢽭": [ + "ㄐㄧㄡ4" + ], + "𢽸": [ + "ㄔㄨㄛ4" + ], + "𢽹": [ + "ㄇㄧㄣ3" + ], + "𢽾": [ + "ㄒㄧㄠ4" + ], + "𢾀": [ + "ㄉㄨ3" + ], + "𢾁": [ + "ㄨㄟ2" + ], + "𢾃": [ + "ㄘㄢ2" + ], + "𢾄": [ + "ㄩ2" + ], + "𢾅": [ + "ㄉㄨ4" + ], + "𢾆": [ + "ㄎㄞ1" + ], + "𢾇": [ + "ㄆㄧ4" + ], + "𢾊": [ + "ㄔㄥ2" + ], + "𢾎": [ + "ㄔㄨㄣ3" + ], + "𢾐": [ + "ㄕㄠ3" + ], + "𢾑": [ + "ㄧㄢ3" + ], + "𢾒": [ + "ㄎㄨㄞ4" + ], + "𢾔": [ + "ㄩㄝ1" + ], + "𢾦": [ + "ㄑㄧ2" + ], + "𢾧": [ + "ㄓㄥ1" + ], + "𢾩": [ + "ㄎㄜ4" + ], + "𢾪": [ + "ㄑㄧ2" + ], + "𢾫": [ + "ㄓ3" + ], + "𢾬": [ + "ㄌㄨ4" + ], + "𢾱": [ + "ㄆㄧ1" + ], + "𢾲": [ + "ㄋㄨㄛ4" + ], + "𢾳": [ + "ㄆㄠ3" + ], + "𢾺": [ + "ㄈㄟ3" + ], + "𢾿": [ + "ㄨㄣ2" + ], + "𢿂": [ + "ㄇㄥ2" + ], + "𢿈": [ + "ㄕㄢ3" + ], + "𢿌": [ + "ㄒㄩㄥ4", + "ㄒㄩㄢ4" + ], + "𢿎": [ + "ㄉㄨㄛ4" + ], + "𢿏": [ + "ㄅㄧㄠ4", + "ㄆㄠ1" + ], + "𢿚": [ + "ㄧㄡ1" + ], + "𢿜": [ + "ㄇㄢ4" + ], + "𢿞": [ + "ㄌㄧㄠ3" + ], + "𢿡": [ + "ㄒㄧㄝ2" + ], + "𢿢": [ + "ㄌㄨㄢ4" + ], + "𢿣": [ + "ㄑㄧㄠ1" + ], + "𢿤": [ + "ㄉㄥ4" + ], + "𢿦": [ + "ㄔㄥ2" + ], + "𢿧": [ + "ㄔㄥ2" + ], + "𢿭": [ + "ㄔㄨㄛ4" + ], + "𢿸": [ + "ㄘㄜ4" + ], + "𣀀": [ + "ㄌㄟ2" + ], + "𣀁": [ + "ㄓㄢ3" + ], + "𣀂": [ + "ㄌㄧ3" + ], + "𣀃": [ + "ㄌㄧㄢ2" + ], + "𣀄": [ + "ㄑㄩㄣ2" + ], + "𣀍": [ + "ㄔㄣ2" + ], + "𣀏": [ + "ㄔㄥ2" + ], + "𣀐": [ + "ㄍㄨ1" + ], + "𣀒": [ + "ㄗㄨㄥ4" + ], + "𣀓": [ + "ㄔㄡ2", + "ㄉㄠ3" + ], + "𣀔": [ + "ㄔㄨㄢ4", + "ㄔㄨㄛ4" + ], + "𣀜": [ + "ㄌㄟ4" + ], + "𣀝": [ + "ㄕㄨㄛ4" + ], + "𣀞": [ + "ㄌㄩ4" + ], + "𣀣": [ + "ㄈㄨ2" + ], + "𣀥": [ + "ㄌㄧ4" + ], + "𣀧": [ + "ㄙㄢ4" + ], + "𣀫": [ + "ㄙㄢ1" + ], + "𣀯": [ + "ㄙㄚ4" + ], + "𣀳": [ + "ㄋㄧㄝ4" + ], + "𣀶": [ + "ㄗㄨㄢ1" + ], + "𣀷": [ + "ㄌㄧ3", + "ㄌㄧ2" + ], + "𣀻": [ + "ㄕㄨ3", + "ㄓㄨ3" + ], + "𣀾": [ + "ㄈㄨ2" + ], + "𣁉": [ + "ㄅㄧ4" + ], + "𣁍": [ + "ㄉㄠ4" + ], + "𣁒": [ + "ㄕ1" + ], + "𣁖": [ + "ㄍㄢ4" + ], + "𣁗": [ + "ㄊㄢ4" + ], + "𣁜": [ + "ㄇㄢ4" + ], + "𣁟": [ + "ㄌㄧ2" + ], + "𣁢": [ + "ㄅㄧ4" + ], + "𣁦": [ + "ㄆㄢ2" + ], + "𣁨": [ + "ㄧㄡ1" + ], + "𣁭": [ + "ㄐㄧㄡ1" + ], + "𣁯": [ + "ㄍㄨㄛ1" + ], + "𣁰": [ + "ㄌㄧㄠ2" + ], + "𣁳": [ + "ㄨㄛ4" + ], + "𣁴": [ + "ㄑㄧㄚ4" + ], + "𣁵": [ + "ㄉㄡ3" + ], + "𣁷": [ + "ㄌㄧㄝ4" + ], + "𣁹": [ + "ㄐㄧㄠ3" + ], + "𣁻": [ + "ㄌㄧㄝ4", + "ㄌㄨㄛ1" + ], + "𣂁": [ + "ㄊㄧㄠ1", + "ㄑㄧㄠ1" + ], + "𣂄": [ + "ㄍㄨㄛ1" + ], + "𣂆": [ + "ㄆㄤ1" + ], + "𣂇": [ + "ㄑㄧㄠ1" + ], + "𣂉": [ + "ㄉㄧ2" + ], + "𣂊": [ + "ㄩㄣ4" + ], + "𣂒": [ + "ㄌㄜ4" + ], + "𣂖": [ + "ㄙ1" + ], + "𣂗": [ + "ㄒㄧㄣ1" + ], + "𣂜": [ + "ㄒㄧㄣ1" + ], + "𣂝": [ + "ㄒㄧㄤ4" + ], + "𣂞": [ + "ㄌㄨㄛ3" + ], + "𣂤": [ + "ㄅㄥ1" + ], + "𣂥": [ + "ㄊㄧㄠ1", + "ㄑㄧㄠ1" + ], + "𣂬": [ + "ㄒㄧㄠ4" + ], + "𣂮": [ + "ㄉㄡ1", + "ㄊㄡ2" + ], + "𣂳": [ + "ㄉㄤ4" + ], + "𣂴": [ + "ㄊㄧㄥ2" + ], + "𣂵": [ + "ㄓㄨㄢ4" + ], + "𣂻": [ + "ㄡ1", + "ㄎㄡ1" + ], + "𣂽": [ + "ㄨㄛ4" + ], + "𣃄": [ + "ㄒㄧㄣ1" + ], + "𣃅": [ + "ㄖㄨㄢ3" + ], + "𣃈": [ + "ㄓㄨㄛ2" + ], + "𣃉": [ + "ㄉㄤ4" + ], + "𣃍": [ + "ㄘㄨㄟ4", + "ㄔㄚ4" + ], + "𣃑": [ + "ㄓㄨㄛ2" + ], + "𣃗": [ + "ㄘㄨㄥ2" + ], + "𣃘": [ + "ㄔㄢ3", + "ㄔㄨㄤ2" + ], + "𣃝": [ + "ㄧㄤ3" + ], + "𣃧": [ + "ㄧㄢ3" + ], + "𣃳": [ + "ㄧㄢ3", + "ㄧㄝ4" + ], + "𣃵": [ + "ㄓㄣ4", + "ㄕㄣ1" + ], + "𣃽": [ + "ㄋㄨㄛ3" + ], + "𣃾": [ + "ㄧㄢ4" + ], + "𣄅": [ + "ㄈㄤ3" + ], + "𣄉": [ + "ㄧㄢ3" + ], + "𣄊": [ + "ㄩ2" + ], + "𣄍": [ + "ㄊㄧ2" + ], + "𣄎": [ + "ㄈㄨ4" + ], + "𣄏": [ + "ㄅㄣ3" + ], + "𣄑": [ + "ㄧㄢ3" + ], + "𣄓": [ + "ㄏㄨㄟ1" + ], + "𣄙": [ + "ㄏㄨㄤ3" + ], + "𣄜": [ + "ㄍㄨㄟ4" + ], + "𣄝": [ + "ㄧㄢ4" + ], + "𣄟": [ + "ㄏㄨ2" + ], + "𣄠": [ + "ㄅㄧㄠ1" + ], + "𣄧": [ + "ㄙㄨㄟ4", + "ㄨㄟ2" + ], + "𣄮": [ + "ㄗ4" + ], + "𣄯": [ + "ㄐㄧ4" + ], + "𣄰": [ + "ㄜ3" + ], + "𣄱": [ + "ㄐㄧ4" + ], + "𣄲": [ + "ㄎㄨㄟ3" + ], + "𣄴": [ + "ㄌㄧㄤ4" + ], + "𣄸": [ + "ㄏㄨㄛ4" + ], + "𣄺": [ + "ㄨㄟ2" + ], + "𣄻": [ + "ㄓㄨㄛ1" + ], + "𣄿": [ + "ㄊㄧㄥ3" + ], + "𣅃": [ + "ㄗㄞ3" + ], + "𣅄": [ + "ㄧㄡ4" + ], + "𣅉": [ + "ㄖㄣ4" + ], + "𣅍": [ + "ㄇㄧㄢ4", + "ㄅㄧㄥ1" + ], + "𣅚": [ + "ㄋㄚ4", + "ㄋㄧㄡ3" + ], + "𣅝": [ + "ㄊㄨ1" + ], + "𣅟": [ + "ㄉㄢ1" + ], + "𣅡": [ + "ㄐㄩㄝ2" + ], + "𣅤": [ + "ㄒㄩ1" + ], + "𣅥": [ + "ㄉㄧ1" + ], + "𣅰": [ + "ㄒㄧㄤ4" + ], + "𣅷": [ + "ㄒㄩㄥ4" + ], + "𣅺": [ + "ㄧㄡ3" + ], + "𣅻": [ + "ㄍㄨㄚ3", + "ㄐㄩㄥ1" + ], + "𣅾": [ + "ㄒㄧ1" + ], + "𣆈": [ + "ㄏㄜ4" + ], + "𣆍": [ + "ㄉㄧㄥ3" + ], + "𣆐": [ + "ㄌㄨ2" + ], + "𣆒": [ + "ㄒㄩ2" + ], + "𣆔": [ + "ㄓㄡ4" + ], + "𣆕": [ + "ㄒㄧㄢ4" + ], + "𣆖": [ + "ㄏㄨㄤ1" + ], + "𣆗": [ + "ㄔㄚ1" + ], + "𣆘": [ + "ㄕ3" + ], + "𣆙": [ + "ㄍㄢ4" + ], + "𣆚": [ + "ㄋㄨㄛ3", + "ㄔ3" + ], + "𣆛": [ + "ㄢ4", + "ㄨㄢ3" + ], + "𣆟": [ + "ㄒㄧㄝ1", + "ㄐㄧㄝ1" + ], + "𣆧": [ + "ㄏㄠ4" + ], + "𣆲": [ + "ㄑㄧㄣ1" + ], + "𣆳": [ + "ㄍㄥ3" + ], + "𣆴": [ + "ㄕㄢ1" + ], + "𣆵": [ + "ㄈㄨ2" + ], + "𣆽": [ + "ㄗㄜ4" + ], + "𣇇": [ + "ㄉㄢ4" + ], + "𣇖": [ + "ㄉㄧㄢ3" + ], + "𣇗": [ + "ㄕㄣ1" + ], + "𣇙": [ + "ㄗㄨ3" + ], + "𣇢": [ + "ㄅㄧㄝ1" + ], + "𣇦": [ + "ㄔㄨㄟ2" + ], + "𣇧": [ + "ㄓㄜ4" + ], + "𣇨": [ + "ㄉㄞ4" + ], + "𣇫": [ + "ㄨㄛ3" + ], + "𣇬": [ + "ㄑㄩㄥ2" + ], + "𣇰": [ + "ㄌㄧㄣ2" + ], + "𣇲": [ + "ㄏㄨㄣ1" + ], + "𣇳": [ + "ㄐㄧ1" + ], + "𣈅": [ + "ㄘㄠ2" + ], + "𣈊": [ + "ㄇㄨ4" + ], + "𣈍": [ + "ㄉㄧㄝ2" + ], + "𣈎": [ + "ㄨㄟ4" + ], + "𣈠": [ + "ㄅㄧㄢ4" + ], + "𣈡": [ + "ㄊㄧ3" + ], + "𣈥": [ + "ㄊㄨ2" + ], + "𣈶": [ + "ㄍㄥ4" + ], + "𣉄": [ + "ㄔ2" + ], + "𣉅": [ + "ㄘㄡ4" + ], + "𣉆": [ + "ㄊㄧ3" + ], + "𣉒": [ + "ㄏㄨㄛ4" + ], + "𣉓": [ + "ㄑㄧ1" + ], + "𣉔": [ + "ㄙㄠ1" + ], + "𣉕": [ + "ㄙㄤ4" + ], + "𣉖": [ + "ㄒㄩㄢ3" + ], + "𣉗": [ + "ㄤ4" + ], + "𣉘": [ + "ㄋㄞ4" + ], + "𣉚": [ + "ㄧㄤ2" + ], + "𣉛": [ + "ㄕㄨ1" + ], + "𣉜": [ + "ㄕㄚ1" + ], + "𣉡": [ + "ㄊㄧㄥ3" + ], + "𣉩": [ + "ㄧㄚ4" + ], + "𣉪": [ + "ㄏㄨㄤ3" + ], + "𣉮": [ + "ㄅㄧㄣ1" + ], + "𣉾": [ + "ㄡ4" + ], + "𣉿": [ + "ㄘㄠ2" + ], + "𣊁": [ + "ㄠ2" + ], + "𣊃": [ + "ㄇㄠ4" + ], + "𣊔": [ + "ㄇㄥ2" + ], + "𣊖": [ + "ㄊㄧㄢ1" + ], + "𣊝": [ + "ㄙㄤ4" + ], + "𣊞": [ + "ㄒㄩ4" + ], + "𣊟": [ + "ㄎㄢ4" + ], + "𣊧": [ + "ㄌㄤ3", + "ㄓㄠ4" + ], + "𣊶": [ + "ㄅㄧㄝ1" + ], + "𣊷": [ + "ㄘㄨㄥ2" + ], + "𣊺": [ + "ㄒㄧㄢ2" + ], + "𣋄": [ + "ㄊㄨㄣ1" + ], + "𣋉": [ + "ㄩ4" + ], + "𣋊": [ + "ㄉㄢ4" + ], + "𣋋": [ + "ㄧㄥ4" + ], + "𣋍": [ + "ㄓㄠ1" + ], + "𣋏": [ + "ㄆㄨ4" + ], + "𣋘": [ + "ㄏㄨㄟ4" + ], + "𣋞": [ + "ㄞ4" + ], + "𣋟": [ + "ㄇㄛ3" + ], + "𣋢": [ + "ㄐㄧㄥ1" + ], + "𣋣": [ + "ㄌㄢ2" + ], + "𣋲": [ + "ㄌㄧㄝ4" + ], + "𣋳": [ + "ㄆㄧㄠ3", + "ㄅㄠ4" + ], + "𣋵": [ + "ㄅㄛ2" + ], + "𣋶": [ + "ㄑㄩㄥ2" + ], + "𣋹": [ + "ㄅㄧ4" + ], + "𣋿": [ + "ㄩㄥ1" + ], + "𣌅": [ + "ㄌㄧ4" + ], + "𣌍": [ + "ㄋㄧㄝ4" + ], + "𣌏": [ + "ㄉㄜ2" + ], + "𣌓": [ + "ㄏㄨㄢ1" + ], + "𣌗": [ + "ㄩㄝ4" + ], + "𣌚": [ + "ㄔㄨㄣ1" + ], + "𣌜": [ + "ㄌㄧ4" + ], + "𣌞": [ + "ㄓㄤ1" + ], + "𣌟": [ + "ㄌㄧㄥ2" + ], + "𣌠": [ + "ㄔㄨㄣ2" + ], + "𣌧": [ + "ㄘㄜ4" + ], + "𣌨": [ + "ㄒㄩㄣ2" + ], + "𣌬": [ + "ㄐㄩ3" + ], + "𣌭": [ + "ㄏㄨㄟ5", + "ㄉㄚ2" + ], + "𣌾": [ + "ㄊㄨㄥ1" + ], + "𣍆": [ + "ㄋㄧㄥ2" + ], + "𣍇": [ + "ㄐㄩ4" + ], + "𣍏": [ + "ㄔㄚ4" + ], + "𣍖": [ + "ㄗㄠ1" + ], + "𣍛": [ + "ㄩ4" + ], + "𣍟": [ + "ㄎㄣ3", + "ㄨㄟ3" + ], + "𣍦": [ + "ㄎㄨㄤ4" + ], + "𣍧": [ + "ㄈㄟ3" + ], + "𣍯": [ + "ㄩㄣ4" + ], + "𣍰": [ + "ㄑㄧㄢ3" + ], + "𣍴": [ + "ㄑㄩㄢ2" + ], + "𣍸": [ + "ㄆㄛ4" + ], + "𣍺": [ + "ㄆㄟ3" + ], + "𣎄": [ + "ㄍㄥ4" + ], + "𣎅": [ + "ㄧ4", + "ㄏㄨㄢ1" + ], + "𣎆": [ + "ㄌㄨㄛ4" + ], + "𣎑": [ + "ㄎㄨㄢ1" + ], + "𣎓": [ + "ㄒㄩㄢ3" + ], + "𣎔": [ + "ㄋㄧㄢ4" + ], + "𣎚": [ + "ㄏㄨ2" + ], + "𣎛": [ + "ㄐㄩ2", + "ㄒㄩㄝ4" + ], + "𣎩": [ + "ㄧㄝ4" + ], + "𣎮": [ + "ㄒㄧ1" + ], + "𣎱": [ + "ㄩㄝ4" + ], + "𣎲": [ + "ㄊㄤ3" + ], + "𣎳": [ + "ㄆㄧㄣ4" + ], + "𣎴": [ + "ㄉㄨㄣ3", + "ㄜ4", + "ㄞ4" + ], + "𣎵": [ + "ㄅㄟ4", + "ㄆㄛ1" + ], + "𣎸": [ + "ㄌㄧㄠ3" + ], + "𣏀": [ + "ㄩㄥ3" + ], + "𣏎": [ + "ㄧㄚ1" + ], + "𣏑": [ + "ㄐㄧㄠ3" + ], + "𣏔": [ + "ㄎㄨㄣ4", + "ㄎㄨㄣ3" + ], + "𣏖": [ + "ㄓㄣ4" + ], + "𣏗": [ + "ㄕㄨ4" + ], + "𣏚": [ + "ㄕ2" + ], + "𣏞": [ + "ㄧㄡ2" + ], + "𣏟": [ + "ㄆㄞ4" + ], + "𣏠": [ + "ㄒㄧㄠ2" + ], + "𣏡": [ + "ㄐㄧ2" + ], + "𣏶": [ + "ㄑㄧ1" + ], + "𣏷": [ + "ㄏㄜ2" + ], + "𣏺": [ + "ㄎㄨㄥ3" + ], + "𣐂": [ + "ㄧㄝ4" + ], + "𣐃": [ + "ㄔ4" + ], + "𣐊": [ + "ㄎㄠ3", + "ㄐㄩ2" + ], + "𣐋": [ + "ㄩㄝ4" + ], + "𣐎": [ + "ㄨㄚ3" + ], + "𣐏": [ + "ㄋㄧㄢ3" + ], + "𣐑": [ + "ㄘ2" + ], + "𣐓": [ + "ㄧ2" + ], + "𣐤": [ + "ㄐㄧㄡ5" + ], + "𣐫": [ + "ㄧㄤ1" + ], + "𣐬": [ + "ㄌㄧ2" + ], + "𣐮": [ + "ㄉㄞ1" + ], + "𣐯": [ + "ㄔㄨㄥ2" + ], + "𣐵": [ + "ㄧ2" + ], + "𣐺": [ + "ㄏㄢ4" + ], + "𣐿": [ + "ㄧ1" + ], + "𣑁": [ + "ㄔㄨㄥ4" + ], + "𣑂": [ + "ㄏㄨ4" + ], + "𣑃": [ + "ㄓㄨㄚ3" + ], + "𣑦": [ + "ㄑㄩㄥ2" + ], + "𣑧": [ + "ㄉㄨㄛ4" + ], + "𣑸": [ + "ㄊㄨㄥ2" + ], + "𣑹": [ + "ㄒㄧㄢ1" + ], + "𣑿": [ + "ㄈㄨ2" + ], + "𣒂": [ + "ㄉㄧㄢ4" + ], + "𣒃": [ + "ㄒㄧ2" + ], + "𣒄": [ + "ㄒㄧㄝ1" + ], + "𣒅": [ + "ㄓㄣ4" + ], + "𣒆": [ + "ㄑㄧㄠ4" + ], + "𣒇": [ + "ㄊㄨ1" + ], + "𣒷": [ + "ㄏㄢ4" + ], + "𣒸": [ + "ㄎㄨㄤ4" + ], + "𣒹": [ + "ㄙㄨㄛ1" + ], + "𣒻": [ + "ㄕㄡ4" + ], + "𣒼": [ + "ㄊㄧㄠ2" + ], + "𣓀": [ + "ㄓㄣ1", + "ㄓㄣ3" + ], + "𣓃": [ + "ㄋㄟ4" + ], + "𣓅": [ + "ㄑㄧㄢ3" + ], + "𣓆": [ + "ㄧㄣ2" + ], + "𣓈": [ + "ㄌㄧㄤ3" + ], + "𣓉": [ + "ㄕㄚ4", + "ㄐㄧㄝ2" + ], + "𣓊": [ + "ㄗ4" + ], + "𣓋": [ + "ㄆㄧ2" + ], + "𣓌": [ + "ㄍㄠ1", + "ㄐㄩ2" + ], + "𣓏": [ + "ㄐㄧㄣ4" + ], + "𣓐": [ + "ㄧㄡ2" + ], + "𣓒": [ + "ㄕㄢ4" + ], + "𣓔": [ + "ㄇㄧ4" + ], + "𣓕": [ + "ㄡ4" + ], + "𣓗": [ + "ㄏㄨ1" + ], + "𣓛": [ + "ㄧㄡ4" + ], + "𣓝": [ + "ㄇㄥ3" + ], + "𣔐": [ + "ㄓ3" + ], + "𣔓": [ + "ㄅㄧ3" + ], + "𣔗": [ + "ㄕㄣ1" + ], + "𣔘": [ + "ㄑㄧ4" + ], + "𣔙": [ + "ㄒㄧㄢ1" + ], + "𣔚": [ + "ㄆㄢ2" + ], + "𣔛": [ + "ㄎㄤ3" + ], + "𣔫": [ + "ㄕㄨㄢ1" + ], + "𣔬": [ + "ㄆㄧ2" + ], + "𣔮": [ + "ㄗㄞ1" + ], + "𣔯": [ + "ㄓㄨ3" + ], + "𣔱": [ + "ㄙㄡ1", + "ㄙㄠ1" + ], + "𣔲": [ + "ㄐㄩㄥ3" + ], + "𣔵": [ + "ㄔㄢ2" + ], + "𣔶": [ + "ㄈㄢ2", + "ㄈㄢ4" + ], + "𣔷": [ + "ㄒㄧㄠ2" + ], + "𣔸": [ + "ㄧㄣ3" + ], + "𣔹": [ + "ㄏㄡ2" + ], + "𣔺": [ + "ㄇㄠ4" + ], + "𣔻": [ + "ㄊㄨ2", + "ㄔㄢ2" + ], + "𣔼": [ + "ㄍㄢ1" + ], + "𣔽": [ + "ㄐㄧ4" + ], + "𣕁": [ + "ㄧ2" + ], + "𣕃": [ + "ㄩ4" + ], + "𣕄": [ + "ㄐㄩㄥ1" + ], + "𣕅": [ + "ㄆㄠ4" + ], + "𣕇": [ + "ㄒㄧㄠ1" + ], + "𣕉": [ + "ㄍㄡ3" + ], + "𣕌": [ + "ㄍㄡ1" + ], + "𣕍": [ + "ㄙㄨㄣ3" + ], + "𣕎": [ + "ㄒㄧㄢ3" + ], + "𣕏": [ + "ㄓㄨㄢ3" + ], + "𣕾": [ + "ㄔㄡ2", + "ㄅㄧ4" + ], + "𣖄": [ + "ㄑㄧㄠ1" + ], + "𣖅": [ + "ㄊㄧ2" + ], + "𣖆": [ + "ㄩㄣ2" + ], + "𣖉": [ + "ㄕㄢ1" + ], + "𣖊": [ + "ㄌㄧㄝ4", + "ㄌㄧ4" + ], + "𣖌": [ + "ㄓ3" + ], + "𣖐": [ + "ㄆㄞ1" + ], + "𣖣": [ + "ㄐㄩ2" + ], + "𣖤": [ + "ㄌㄞ2" + ], + "𣖨": [ + "ㄗ3" + ], + "𣖪": [ + "ㄑㄩ2" + ], + "𣖫": [ + "ㄍㄨ3", + "ㄑㄩㄝ4" + ], + "𣖬": [ + "ㄐㄩㄝ2" + ], + "𣖭": [ + "ㄓ2" + ], + "𣖮": [ + "ㄤ4" + ], + "𣖯": [ + "ㄑㄧㄣ4" + ], + "𣖰": [ + "ㄆㄧ2" + ], + "𣖱": [ + "ㄗㄨㄟ1" + ], + "𣖳": [ + "ㄑㄧㄢ2" + ], + "𣖵": [ + "ㄘㄨㄛ2" + ], + "𣖷": [ + "ㄐㄧ2" + ], + "𣖸": [ + "ㄊㄧ2" + ], + "𣖹": [ + "ㄖㄨ2" + ], + "𣖻": [ + "ㄏㄞ3" + ], + "𣖼": [ + "ㄒㄩㄣ2" + ], + "𣖾": [ + "ㄅㄟ4" + ], + "𣖿": [ + "ㄓ2" + ], + "𣗁": [ + "ㄉㄨㄣ4", + "ㄗㄚ1" + ], + "𣗋": [ + "ㄉㄤ3" + ], + "𣗐": [ + "ㄖㄥ2" + ], + "𣗲": [ + "ㄍㄢ1" + ], + "𣗵": [ + "ㄍㄤ4", + "ㄍㄤ1" + ], + "𣗶": [ + "ㄊㄚ4" + ], + "𣗸": [ + "ㄊㄨㄛ4" + ], + "𣗹": [ + "ㄧㄤ4" + ], + "𣗺": [ + "ㄎㄨ1" + ], + "𣗻": [ + "ㄓ4" + ], + "𣘖": [ + "ㄐㄧㄢ1" + ], + "𣘗": [ + "ㄋㄧ4" + ], + "𣘘": [ + "ㄕㄣ1", + "ㄓㄣ1" + ], + "𣘙": [ + "ㄅㄤ4" + ], + "𣘚": [ + "ㄕㄨㄞ4" + ], + "𣘛": [ + "ㄉㄡ1" + ], + "𣘝": [ + "ㄑㄧㄢ1" + ], + "𣘞": [ + "ㄏㄢ2" + ], + "𣘟": [ + "ㄑㄧㄚ1" + ], + "𣘠": [ + "ㄍㄢ3" + ], + "𣘣": [ + "ㄔㄨㄣ2" + ], + "𣘤": [ + "ㄔㄚ2", + "ㄙㄚ4" + ], + "𣘥": [ + "ㄅㄧ4" + ], + "𣘦": [ + "ㄧ1" + ], + "𣘧": [ + "ㄈㄨ1" + ], + "𣘨": [ + "ㄜ3", + "ㄜ1" + ], + "𣘪": [ + "ㄌㄠ2" + ], + "𣘫": [ + "ㄏㄠ2" + ], + "𣘬": [ + "ㄌㄧ2" + ], + "𣘱": [ + "ㄊㄜ4" + ], + "𣘲": [ + "ㄕㄣ1" + ], + "𣘴": [ + "ㄧㄣ2" + ], + "𣘷": [ + "ㄐㄧㄢ1" + ], + "𣘻": [ + "ㄔㄚ2", + "ㄊㄨ2" + ], + "𣙗": [ + "ㄋㄧㄝ4" + ], + "𣙘": [ + "ㄘㄡ4" + ], + "𣙛": [ + "ㄧ2" + ], + "𣙟": [ + "ㄊㄤ2" + ], + "𣙢": [ + "ㄐㄩㄢ4" + ], + "𣙰": [ + "ㄔ4" + ], + "𣙱": [ + "ㄍㄡ3" + ], + "𣙴": [ + "ㄐㄧㄝ2" + ], + "𣙵": [ + "ㄓㄜ2" + ], + "𣙶": [ + "ㄏㄨ2" + ], + "𣙷": [ + "ㄇㄤ2" + ], + "𣙻": [ + "ㄗㄡ1" + ], + "𣙼": [ + "ㄙ4", + "ㄘ2" + ], + "𣙿": [ + "ㄈㄟ4" + ], + "𣚀": [ + "ㄗ1" + ], + "𣚁": [ + "ㄗ1" + ], + "𣚃": [ + "ㄐㄧㄝ2" + ], + "𣚄": [ + "ㄙ1" + ], + "𣚆": [ + "ㄔㄨㄣ1" + ], + "𣚇": [ + "ㄆㄠ4" + ], + "𣚋": [ + "ㄧㄝ2" + ], + "𣚌": [ + "ㄉㄧ1", + "ㄕ4" + ], + "𣚎": [ + "ㄌㄟ2" + ], + "𣚏": [ + "ㄒㄩ1" + ], + "𣚐": [ + "ㄖㄨ2" + ], + "𣚒": [ + "ㄆㄚ2" + ], + "𣚓": [ + "ㄐㄩㄢ4" + ], + "𣚔": [ + "ㄒㄧ4" + ], + "𣚕": [ + "ㄧㄝ4", + "ㄧㄢ3" + ], + "𣚖": [ + "ㄢ1" + ], + "𣚘": [ + "ㄧ4" + ], + "𣚙": [ + "ㄐㄧㄢ1", + "ㄐㄧㄢ4" + ], + "𣚜": [ + "ㄙㄨㄥ1" + ], + "𣚝": [ + "ㄨㄛ3" + ], + "𣚟": [ + "ㄙㄜ4" + ], + "𣚠": [ + "ㄓ3" + ], + "𣚡": [ + "ㄅㄧ1" + ], + "𣚢": [ + "ㄓㄨㄢ4" + ], + "𣚦": [ + "ㄐㄧㄤ4" + ], + "𣚧": [ + "ㄏㄠ4" + ], + "𣚩": [ + "ㄔ4" + ], + "𣚪": [ + "ㄉㄨㄣ4" + ], + "𣛓": [ + "ㄅㄛ2" + ], + "𣛔": [ + "ㄐㄧ2" + ], + "𣛕": [ + "ㄔㄨㄚ3" + ], + "𣛗": [ + "ㄌㄨㄛ4" + ], + "𣛚": [ + "ㄖㄨㄟ3" + ], + "𣛫": [ + "ㄏㄨ2" + ], + "𣛱": [ + "ㄉㄢ4", + "ㄌㄢ3" + ], + "𣛴": [ + "ㄏㄢ3" + ], + "𣛵": [ + "ㄑㄩㄝ4" + ], + "𣛶": [ + "ㄕㄚ1" + ], + "𣛷": [ + "ㄓㄢ3" + ], + "𣛸": [ + "ㄗㄜ2" + ], + "𣛹": [ + "ㄔㄨㄢ2", + "ㄔㄨㄞ3" + ], + "𣛺": [ + "ㄑㄧ1" + ], + "𣛻": [ + "ㄉㄧㄝ2" + ], + "𣛽": [ + "ㄓㄚ4" + ], + "𣛾": [ + "ㄊㄡ4" + ], + "𣜁": [ + "ㄘ1" + ], + "𣜂": [ + "ㄙㄚ4" + ], + "𣜄": [ + "ㄌㄨㄛ2" + ], + "𣜇": [ + "ㄐㄧ2" + ], + "𣜢": [ + "ㄌㄨㄛ3" + ], + "𣜣": [ + "ㄑㄧㄣ2" + ], + "𣜧": [ + "ㄑㄩㄥ2" + ], + "𣜨": [ + "ㄐㄩㄢ4" + ], + "𣜬": [ + "ㄞ4" + ], + "𣜭": [ + "ㄐㄧㄢ3" + ], + "𣜹": [ + "ㄊㄧ4" + ], + "𣜺": [ + "ㄨㄣ2" + ], + "𣜽": [ + "ㄑㄧㄠ1" + ], + "𣝁": [ + "ㄆㄞ2", + "ㄅㄟ1" + ], + "𣝂": [ + "ㄏㄨㄣ2" + ], + "𣝅": [ + "ㄞ4" + ], + "𣝇": [ + "ㄕㄨㄛ4" + ], + "𣝈": [ + "ㄌㄧㄢ2" + ], + "𣝉": [ + "ㄉㄨㄟ4" + ], + "𣝋": [ + "ㄊㄚ4" + ], + "𣝌": [ + "ㄐㄧㄣ3" + ], + "𣝍": [ + "ㄅㄧ4" + ], + "𣝎": [ + "ㄧㄢ3" + ], + "𣝏": [ + "ㄍㄠ4" + ], + "𣝐": [ + "ㄆㄧㄠ2" + ], + "𣝑": [ + "ㄩ4", + "ㄩ2" + ], + "𣝒": [ + "ㄕㄜ4" + ], + "𣝕": [ + "ㄐㄧㄢ1" + ], + "𣝗": [ + "ㄏㄨ2" + ], + "𣝚": [ + "ㄌㄧㄝ4" + ], + "𣝜": [ + "ㄅㄧㄢ4" + ], + "𣝝": [ + "ㄙㄨ4" + ], + "𣝞": [ + "ㄐㄧㄠ1" + ], + "𣝸": [ + "ㄓㄨㄟ4" + ], + "𣝽": [ + "ㄏㄢ1" + ], + "𣞇": [ + "ㄉㄨㄣ4" + ], + "𣞐": [ + "ㄒㄧㄝ3" + ], + "𣞑": [ + "ㄇㄥ2" + ], + "𣞒": [ + "ㄈㄨ1" + ], + "𣞓": [ + "ㄌㄨ4" + ], + "𣞔": [ + "ㄊㄢ4" + ], + "𣞗": [ + "ㄌㄧㄡ2" + ], + "𣞘": [ + "ㄒㄧㄢ1" + ], + "𣞙": [ + "ㄙㄤ3" + ], + "𣞜": [ + "ㄘㄡ4" + ], + "𣞝": [ + "ㄓㄨㄤ1" + ], + "𣞟": [ + "ㄔㄣ1" + ], + "𣞰": [ + "ㄌㄧㄢ4" + ], + "𣞴": [ + "ㄌㄧ2" + ], + "𣟀": [ + "ㄆㄥ4" + ], + "𣟁": [ + "ㄊㄨㄛ3" + ], + "𣟄": [ + "ㄊㄨㄛ4" + ], + "𣟆": [ + "ㄌㄧㄠ2" + ], + "𣟇": [ + "ㄒㄧㄠ4" + ], + "𣟈": [ + "ㄔㄨㄟ4" + ], + "𣟉": [ + "ㄏㄨㄞ4" + ], + "𣟊": [ + "ㄋㄧㄠ3" + ], + "𣟋": [ + "ㄑㄧㄢ1" + ], + "𣟌": [ + "ㄌㄧ4" + ], + "𣟏": [ + "ㄆㄠ1" + ], + "𣟐": [ + "ㄊㄧㄠ2" + ], + "𣟑": [ + "ㄌㄧㄡ2" + ], + "𣟒": [ + "ㄨ2" + ], + "𣟤": [ + "ㄧㄥ3" + ], + "𣟦": [ + "ㄓㄚ2" + ], + "𣟰": [ + "ㄩ2" + ], + "𣟲": [ + "ㄒㄧㄢ3" + ], + "𣟳": [ + "ㄒㄩㄢ2" + ], + "𣟴": [ + "ㄕㄨㄢ1" + ], + "𣟵": [ + "ㄒㄧ1" + ], + "𣟸": [ + "ㄇㄟ2" + ], + "𣟹": [ + "ㄙㄣ1" + ], + "𣟺": [ + "ㄌㄧㄢ4" + ], + "𣟼": [ + "ㄐㄧㄡ1", + "ㄑㄧㄠ1" + ], + "𣟽": [ + "ㄌㄠ4" + ], + "𣠎": [ + "ㄒㄧㄠ1" + ], + "𣠏": [ + "ㄗㄡ1" + ], + "𣠚": [ + "ㄌㄧㄡ2" + ], + "𣠜": [ + "ㄓㄠ4" + ], + "𣠞": [ + "ㄓㄜ2", + "ㄕㄜ4" + ], + "𣠠": [ + "ㄌㄟ3" + ], + "𣠭": [ + "ㄉㄨㄢ3" + ], + "𣠷": [ + "ㄐㄧㄢ3" + ], + "𣠸": [ + "ㄕㄨㄢ1" + ], + "𣠹": [ + "ㄗㄨㄛ2" + ], + "𣠺": [ + "ㄑㄧㄝ4" + ], + "𣠼": [ + "ㄌㄠ3" + ], + "𣡉": [ + "ㄩ4" + ], + "𣡊": [ + "ㄧ4" + ], + "𣡋": [ + "ㄋㄧ3" + ], + "𣡎": [ + "ㄘㄣ2" + ], + "𣡕": [ + "ㄧㄢ4" + ], + "𣡗": [ + "ㄖㄨㄢ3" + ], + "𣡞": [ + "ㄧㄢ2" + ], + "𣡟": [ + "ㄉㄧㄝ2" + ], + "𣡠": [ + "ㄇㄧㄢ2" + ], + "𣡧": [ + "ㄌㄟ2" + ], + "𣡩": [ + "ㄨㄢ1" + ], + "𣡰": [ + "ㄋㄚ3" + ], + "𣡶": [ + "ㄧㄢ2" + ], + "𣡺": [ + "ㄌㄟ3" + ], + "𣡽": [ + "ㄕㄚ1" + ], + "𣡾": [ + "ㄏㄨ1" + ], + "𣢁": [ + "ㄒㄧ1" + ], + "𣢂": [ + "ㄒㄧ1" + ], + "𣢄": [ + "ㄧㄡ3", + "ㄧㄡ1" + ], + "𣢅": [ + "ㄏㄢ1" + ], + "𣢇": [ + "ㄏㄞ1", + "ㄒㄧ1" + ], + "𣢉": [ + "ㄨㄚ1" + ], + "𣢊": [ + "ㄒㄩ4" + ], + "𣢋": [ + "ㄆㄧ1" + ], + "𣢌": [ + "ㄊㄢ1" + ], + "𣢍": [ + "ㄒㄧ1" + ], + "𣢎": [ + "ㄒㄧ1" + ], + "𣢏": [ + "ㄅㄧㄣ1" + ], + "𣢐": [ + "ㄑㄧㄣ1", + "ㄎㄥ1" + ], + "𣢑": [ + "ㄒㄧ1" + ], + "𣢒": [ + "ㄩ2" + ], + "𣢓": [ + "ㄒㄧ4" + ], + "𣢕": [ + "ㄘ4" + ], + "𣢖": [ + "ㄑㄧㄢ4" + ], + "𣢗": [ + "ㄒㄧㄚ1" + ], + "𣢚": [ + "ㄨㄚ2" + ], + "𣢛": [ + "ㄜ4" + ], + "𣢜": [ + "ㄧㄡ3", + "ㄧㄡ1" + ], + "𣢝": [ + "ㄒㄧㄥ4" + ], + "𣢞": [ + "ㄋㄧ2" + ], + "𣢟": [ + "ㄏㄢ2", + "ㄒㄧㄢ2" + ], + "𣢠": [ + "ㄅㄧ4" + ], + "𣢡": [ + "ㄕㄥ1" + ], + "𣢤": [ + "ㄓㄢ1" + ], + "𣢥": [ + "ㄉㄧㄢ4" + ], + "𣢦": [ + "ㄩ3" + ], + "𣢨": [ + "ㄡ3" + ], + "𣢪": [ + "ㄍㄨㄟ3" + ], + "𣢫": [ + "ㄨㄤ3", + "ㄨㄤ1" + ], + "𣢬": [ + "ㄑㄧㄢ1" + ], + "𣢭": [ + "ㄧ2" + ], + "𣢰": [ + "ㄗㄨ2" + ], + "𣢲": [ + "ㄑㄧㄢ1" + ], + "𣢳": [ + "ㄉㄧㄥ4" + ], + "𣢴": [ + "ㄎㄥ1" + ], + "𣢶": [ + "ㄔㄨ4" + ], + "𣢷": [ + "ㄧ1" + ], + "𣢺": [ + "ㄏㄢ1" + ], + "𣢻": [ + "ㄎㄨㄢ3" + ], + "𣣈": [ + "ㄉㄧㄢ4" + ], + "𣣉": [ + "ㄒㄧ4" + ], + "𣣊": [ + "ㄗ1" + ], + "𣣋": [ + "ㄌㄧㄥ2" + ], + "𣣌": [ + "ㄗ4", + "ㄙ4" + ], + "𣣎": [ + "ㄩ4" + ], + "𣣏": [ + "ㄏㄨㄣ1" + ], + "𣣑": [ + "ㄙ3" + ], + "𣣒": [ + "ㄎㄢ3" + ], + "𣣚": [ + "ㄢ4" + ], + "𣣜": [ + "ㄧㄡ3" + ], + "𣣝": [ + "ㄐㄧ2" + ], + "𣣞": [ + "ㄏㄨㄣ4" + ], + "𣣟": [ + "ㄑㄧㄚ1" + ], + "𣣠": [ + "ㄏㄡ2" + ], + "𣣡": [ + "ㄏㄡ2" + ], + "𣣣": [ + "ㄉㄧㄢ4" + ], + "𣣩": [ + "ㄒㄧㄝ1" + ], + "𣣭": [ + "ㄕㄜ4" + ], + "𣣮": [ + "ㄕㄚ4" + ], + "𣣲": [ + "ㄒㄧㄝ2" + ], + "𣣳": [ + "ㄧㄠ2", + "ㄧㄠ3" + ], + "𣣴": [ + "ㄉㄚ4" + ], + "𣣶": [ + "ㄒㄧㄝ4" + ], + "𣣷": [ + "ㄔ1" + ], + "𣣸": [ + "ㄧㄡ3" + ], + "𣣹": [ + "ㄏㄜ1" + ], + "𣣺": [ + "ㄕㄚ4" + ], + "𣣿": [ + "ㄊㄞ2" + ], + "𣤁": [ + "ㄓㄨ2" + ], + "𣤃": [ + "ㄞ3" + ], + "𣤇": [ + "ㄑㄩㄝ4" + ], + "𣤈": [ + "ㄗㄜ2" + ], + "𣤊": [ + "ㄌㄚ1" + ], + "𣤋": [ + "ㄌㄡ4" + ], + "𣤌": [ + "ㄔㄨㄞ4", + "ㄔ3", + "ㄔㄨㄛ4" + ], + "𣤎": [ + "ㄧㄡ3" + ], + "𣤖": [ + "ㄊㄧ4" + ], + "𣤘": [ + "ㄕ1" + ], + "𣤡": [ + "ㄒㄧㄠ4", + "ㄧㄡ3" + ], + "𣤢": [ + "ㄒㄧ4" + ], + "𣤨": [ + "ㄏㄨㄛ4" + ], + "𣤩": [ + "ㄔ4" + ], + "𣤪": [ + "ㄧ4" + ], + "𣤯": [ + "ㄕㄨ2" + ], + "𣤰": [ + "ㄩㄝ4" + ], + "𣤱": [ + "ㄔㄢ2" + ], + "𣤲": [ + "ㄜ4" + ], + "𣤳": [ + "ㄒㄧ1" + ], + "𣤴": [ + "ㄒㄧ1" + ], + "𣤵": [ + "ㄧㄥ3" + ], + "𣤶": [ + "ㄗㄨ2", + "ㄗㄚ1", + "ㄗㄢ3" + ], + "𣤷": [ + "ㄗㄚ1" + ], + "𣤺": [ + "ㄗㄚ1" + ], + "𣥂": [ + "ㄊㄚ4" + ], + "𣥃": [ + "ㄨㄢ4" + ], + "𣥇": [ + "ㄒㄧㄣ4" + ], + "𣥊": [ + "ㄨㄤ4" + ], + "𣥋": [ + "ㄈㄨ3" + ], + "𣥐": [ + "ㄌㄨ3", + "ㄌㄩ3" + ], + "𣥞": [ + "ㄐㄧㄢ3" + ], + "𣥡": [ + "ㄧㄢ2" + ], + "𣥣": [ + "ㄅㄧ4" + ], + "𣥤": [ + "ㄎㄣ3" + ], + "𣥥": [ + "ㄍㄨㄢ4" + ], + "𣥨": [ + "ㄗ1" + ], + "𣥮": [ + "ㄎㄨㄟ3" + ], + "𣥯": [ + "ㄓㄡ3" + ], + "𣥰": [ + "ㄓ4" + ], + "𣥳": [ + "ㄊㄨ2" + ], + "𣥷": [ + "ㄊㄚ4" + ], + "𣥹": [ + "ㄔㄨ4" + ], + "𣥺": [ + "ㄔㄥ1" + ], + "𣥻": [ + "ㄔㄥ3" + ], + "𣥼": [ + "ㄓㄨ4" + ], + "𣥾": [ + "ㄉㄚ4" + ], + "𣦇": [ + "ㄅㄧ4" + ], + "𣦉": [ + "ㄐㄧㄚ3" + ], + "𣦌": [ + "ㄧ4" + ], + "𣦏": [ + "ㄩㄝ4" + ], + "𣦐": [ + "ㄍㄤ1" + ], + "𣦖": [ + "ㄍㄢ1" + ], + "𣦜": [ + "ㄑㄧㄠ1" + ], + "𣦠": [ + "ㄔㄨ2" + ], + "𣦡": [ + "ㄔㄨ2" + ], + "𣦢": [ + "ㄅㄧ4" + ], + "𣦦": [ + "ㄍㄨㄟ4" + ], + "𣦩": [ + "ㄍㄨ3" + ], + "𣦪": [ + "ㄅㄧㄥ3" + ], + "𣦫": [ + "ㄧㄣ4" + ], + "𣦬": [ + "ㄓㄨㄟ4" + ], + "𣦭": [ + "ㄍㄨ3" + ], + "𣦯": [ + "ㄌㄧ4" + ], + "𣦵": [ + "ㄜ4", + "ㄓㄣ1" + ], + "𣦶": [ + "ㄉㄞ3" + ], + "𣦼": [ + "ㄘㄢ2" + ], + "𣧂": [ + "ㄊㄧ4" + ], + "𣧃": [ + "ㄉㄨ4" + ], + "𣧄": [ + "ㄧ4" + ], + "𣧈": [ + "ㄉㄧㄝ2" + ], + "𣧊": [ + "ㄋㄧㄡ3" + ], + "𣧌": [ + "ㄒㄩㄝ4" + ], + "𣧍": [ + "ㄋㄜ4" + ], + "𣧎": [ + "ㄍㄨㄟ4" + ], + "𣧏": [ + "ㄎㄠ3" + ], + "𣧒": [ + "ㄔㄨㄢ3", + "ㄇㄛ4" + ], + "𣧖": [ + "ㄓㄚ2" + ], + "𣧗": [ + "ㄧㄡ2" + ], + "𣧙": [ + "ㄅㄞ4" + ], + "𣧚": [ + "ㄕ2" + ], + "𣧛": [ + "ㄉㄧㄢ4" + ], + "𣧜": [ + "ㄆㄚ1" + ], + "𣧝": [ + "ㄑㄧㄡ2" + ], + "𣧡": [ + "ㄒㄩㄝ4" + ], + "𣧣": [ + "ㄇㄛ4" + ], + "𣧤": [ + "ㄎㄜ1" + ], + "𣧥": [ + "ㄧㄡ3" + ], + "𣧦": [ + "ㄐㄧㄠ3" + ], + "𣧧": [ + "ㄅㄛ2" + ], + "𣧬": [ + "ㄒㄧㄡ3" + ], + "𣧲": [ + "ㄇㄧ3" + ], + "𣧳": [ + "ㄌㄨㄛ4" + ], + "𣧵": [ + "ㄒㄩㄝ4", + "ㄒㄩ4" + ], + "𣧷": [ + "ㄉㄨㄛ4" + ], + "𣧹": [ + "ㄦ4" + ], + "𣧺": [ + "ㄕㄢ1" + ], + "𣧼": [ + "ㄎㄨㄟ4" + ], + "𣧽": [ + "ㄋㄠ4" + ], + "𣧾": [ + "ㄇㄧㄢ3" + ], + "𣧿": [ + "ㄌㄧ4" + ], + "𣨀": [ + "ㄌㄨㄢ4" + ], + "𣨂": [ + "ㄉㄧㄝ2" + ], + "𣨄": [ + "ㄑㄧㄚ4" + ], + "𣨅": [ + "ㄌㄟ4" + ], + "𣨇": [ + "ㄇㄠ4" + ], + "𣨉": [ + "ㄏㄥ1" + ], + "𣨊": [ + "ㄔㄜ4" + ], + "𣨋": [ + "ㄓ4" + ], + "𣨍": [ + "ㄍㄨ3" + ], + "𣨎": [ + "ㄘㄨㄛ1" + ], + "𣨓": [ + "ㄨ4" + ], + "𣨔": [ + "ㄊㄠ4" + ], + "𣨗": [ + "ㄒㄧ1" + ], + "𣨘": [ + "ㄧㄠ1" + ], + "𣨙": [ + "ㄨㄟ3", + "ㄨㄟ4" + ], + "𣨛": [ + "ㄗㄨ2" + ], + "𣨜": [ + "ㄇㄚ4" + ], + "𣨝": [ + "ㄩ3" + ], + "𣨞": [ + "ㄆㄥ3" + ], + "𣨟": [ + "ㄧ4" + ], + "𣨠": [ + "ㄑㄧㄣ4", + "ㄑㄧㄣ1" + ], + "𣨡": [ + "ㄩㄝ4" + ], + "𣨢": [ + "ㄐㄩㄝ4" + ], + "𣨣": [ + "ㄐㄧㄤ4" + ], + "𣨤": [ + "ㄒㄩ4" + ], + "𣨥": [ + "ㄅㄥ1" + ], + "𣨪": [ + "ㄌㄨㄛ3" + ], + "𣨫": [ + "ㄓㄨㄟ1" + ], + "𣨲": [ + "ㄉㄨ4" + ], + "𣨳": [ + "ㄒㄧㄤ4" + ], + "𣨶": [ + "ㄏㄨㄟ4" + ], + "𣨺": [ + "ㄍㄨ3" + ], + "𣨻": [ + "ㄎㄠ3" + ], + "𣨾": [ + "ㄒㄧㄥ1" + ], + "𣨿": [ + "ㄏㄨㄣ2" + ], + "𣩀": [ + "ㄅㄧㄢ1" + ], + "𣩄": [ + "ㄎㄜ4", + "ㄞ4" + ], + "𣩅": [ + "ㄎㄠ3" + ], + "𣩈": [ + "ㄘㄨㄛ2", + "ㄗㄨㄛ1" + ], + "𣩏": [ + "ㄌㄨ4" + ], + "𣩑": [ + "ㄗㄨㄟ4" + ], + "𣩒": [ + "ㄗㄠ1" + ], + "𣩓": [ + "ㄐㄧㄠ3" + ], + "𣩔": [ + "ㄍㄨㄢ4" + ], + "𣩙": [ + "ㄧㄢ1" + ], + "𣩚": [ + "ㄦ2" + ], + "𣩜": [ + "ㄑㄧㄥ2" + ], + "𣩟": [ + "ㄉㄥ4" + ], + "𣩠": [ + "ㄙ4" + ], + "𣩡": [ + "ㄙㄨㄟ4" + ], + "𣩢": [ + "ㄌㄧㄠ4" + ], + "𣩧": [ + "ㄕㄢ4" + ], + "𣩩": [ + "ㄅㄧ4" + ], + "𣩪": [ + "ㄨㄟ4" + ], + "𣩫": [ + "ㄧㄝ4" + ], + "𣩭": [ + "ㄓㄞ4" + ], + "𣩯": [ + "ㄧㄝ2" + ], + "𣩰": [ + "ㄉㄧㄠ4" + ], + "𣩱": [ + "ㄞ4", + "ㄎㄜ1" + ], + "𣩴": [ + "ㄐㄧㄤ4" + ], + "𣩷": [ + "ㄙㄨ1" + ], + "𣩹": [ + "ㄏㄨㄞ4" + ], + "𣩺": [ + "ㄩ4" + ], + "𣩽": [ + "ㄖㄤ3" + ], + "𣪀": [ + "ㄉㄧㄢ1" + ], + "𣪁": [ + "ㄗㄨㄢ1" + ], + "𣪂": [ + "ㄅㄢ1" + ], + "𣪄": [ + "ㄑㄧㄣ2" + ], + "𣪇": [ + "ㄐㄧㄚ1" + ], + "𣪉": [ + "ㄆㄧ2" + ], + "𣪌": [ + "ㄊㄡ2", + "ㄉㄨㄟ4" + ], + "𣪐": [ + "ㄔㄡ2" + ], + "𣪕": [ + "ㄍㄨㄟ3" + ], + "𣪠": [ + "ㄐㄧ1", + "ㄐㄧ4", + "ㄑㄧ4" + ], + "𣪨": [ + "ㄒㄩㄝ4" + ], + "𣪪": [ + "ㄉㄧㄢ4" + ], + "𣪭": [ + "ㄅㄧㄢ4" + ], + "𣪮": [ + "ㄗㄞ3" + ], + "𣪯": [ + "ㄊㄨㄥ2" + ], + "𣪶": [ + "ㄕㄢ3" + ], + "𣪸": [ + "ㄍㄨ4" + ], + "𣪹": [ + "ㄑㄩㄝ4" + ], + "𣫀": [ + "ㄍㄨ3" + ], + "𣫈": [ + "ㄏㄨ2" + ], + "𣫉": [ + "ㄎㄨㄞ3" + ], + "𣫌": [ + "ㄍㄡ4" + ], + "𣫎": [ + "ㄙㄨ4" + ], + "𣫐": [ + "ㄔㄡ2" + ], + "𣫒": [ + "ㄎㄥ1" + ], + "𣫔": [ + "ㄉㄨ1" + ], + "𣫙": [ + "ㄧ4" + ], + "𣫜": [ + "ㄉㄠ4" + ], + "𣫝": [ + "ㄑㄧㄤ1" + ], + "𣫣": [ + "ㄌㄨㄥ2" + ], + "𣫥": [ + "ㄌㄧ2" + ], + "𣫧": [ + "ㄌㄧ4" + ], + "𣫨": [ + "ㄑㄧㄥ1" + ], + "𣫪": [ + "ㄨㄟ1" + ], + "𣫬": [ + "ㄇㄡ2" + ], + "𣫱": [ + "ㄑㄧ4" + ], + "𣫳": [ + "ㄐㄧㄤ3" + ], + "𣫴": [ + "ㄒㄧㄝ2" + ], + "𣫹": [ + "ㄉㄞ4" + ], + "𣫻": [ + "ㄌㄡ2" + ], + "𣬂": [ + "ㄍㄨㄢ4" + ], + "𣬆": [ + "ㄆㄟ2" + ], + "𣬉": [ + "ㄆㄧ2" + ], + "𣬋": [ + "ㄐㄩㄢ4", + "ㄔㄨㄛ4" + ], + "𣬍": [ + "ㄅㄟ1" + ], + "𣬎": [ + "ㄐㄩㄝ2" + ], + "𣬏": [ + "ㄐㄩㄢ4" + ], + "𣬐": [ + "ㄕ4" + ], + "𣬕": [ + "ㄒㄧㄝ3" + ], + "𣬘": [ + "ㄖㄨㄟ2" + ], + "𣬙": [ + "ㄐㄧㄥ4" + ], + "𣬚": [ + "ㄆㄛ4" + ], + "𣬛": [ + "ㄙㄢ1", + "ㄕㄢ1" + ], + "𣬠": [ + "ㄐㄧ1" + ], + "𣬩": [ + "ㄈㄣ1" + ], + "𣬪": [ + "ㄅㄟ4" + ], + "𣬫": [ + "ㄐㄧㄝ4", + "ㄍㄚ4" + ], + "𣬬": [ + "ㄙㄚ1" + ], + "𣬮": [ + "ㄆㄧ1" + ], + "𣬴": [ + "ㄉㄧ4" + ], + "𣬵": [ + "ㄇㄠ2", + "ㄇㄠ4" + ], + "𣬶": [ + "ㄅㄚ5" + ], + "𣬷": [ + "ㄅㄚ5" + ], + "𣬸": [ + "ㄊㄧㄠ2" + ], + "𣬹": [ + "ㄌㄧㄥ2" + ], + "𣬺": [ + "ㄕㄥ1" + ], + "𣬻": [ + "ㄓㄣ3" + ], + "𣬼": [ + "ㄆㄧ1" + ], + "𣬽": [ + "ㄨ4" + ], + "𣬿": [ + "ㄗㄜ4" + ], + "𣭀": [ + "ㄅㄠ4" + ], + "𣭇": [ + "ㄌㄩ3" + ], + "𣭖": [ + "ㄏㄠ1" + ], + "𣭗": [ + "ㄉㄡ3" + ], + "𣭘": [ + "ㄈㄨ2" + ], + "𣭙": [ + "ㄋㄧ2" + ], + "𣭝": [ + "ㄍㄜ2" + ], + "𣭠": [ + "ㄖㄨ2" + ], + "𣭡": [ + "ㄒㄧㄢ3" + ], + "𣭤": [ + "ㄅㄧ4" + ], + "𣭮": [ + "ㄇㄠ2" + ], + "𣭲": [ + "ㄖㄨㄥ3" + ], + "𣭳": [ + "ㄑㄧㄡ2", + "ㄑㄩ2" + ], + "𣭷": [ + "ㄅㄛ2" + ], + "𣭹": [ + "ㄏㄠ1" + ], + "𣭺": [ + "ㄋㄠ3" + ], + "𣭻": [ + "ㄧㄢ2" + ], + "𣮃": [ + "ㄆㄠ2" + ], + "𣮄": [ + "ㄙㄨㄟ1" + ], + "𣮆": [ + "ㄊㄨㄛ4" + ], + "𣮈": [ + "ㄑㄩ1" + ], + "𣮉": [ + "ㄌㄧ2" + ], + "𣮊": [ + "ㄉㄜ2" + ], + "𣮌": [ + "ㄐㄧㄝ2" + ], + "𣮍": [ + "ㄐㄧㄝ2" + ], + "𣮎": [ + "ㄍㄨㄣ3" + ], + "𣮏": [ + "ㄐㄧㄢ1" + ], + "𣮐": [ + "ㄅㄧ4" + ], + "𣮠": [ + "ㄙㄢ4" + ], + "𣮡": [ + "ㄅㄤ1" + ], + "𣮢": [ + "ㄔㄨㄣ2" + ], + "𣮦": [ + "ㄋㄞ4" + ], + "𣮧": [ + "ㄅㄤ3" + ], + "𣮪": [ + "ㄖㄨㄥ2" + ], + "𣮫": [ + "ㄐㄧㄚ1" + ], + "𣮬": [ + "ㄙㄡ1" + ], + "𣮰": [ + "ㄉㄜ2" + ], + "𣮾": [ + "ㄒㄧㄢ1" + ], + "𣮿": [ + "ㄓㄢ1" + ], + "𣯀": [ + "ㄇㄠ4" + ], + "𣯃": [ + "ㄗ1" + ], + "𣯅": [ + "ㄐㄧ4" + ], + "𣯆": [ + "ㄑㄧ2" + ], + "𣯋": [ + "ㄖㄨ4" + ], + "𣯌": [ + "ㄙㄨㄛ1" + ], + "𣯍": [ + "ㄖㄨㄥ3" + ], + "𣯎": [ + "ㄨ4" + ], + "𣯏": [ + "ㄖㄨㄥ2", + "ㄖㄨㄥ3" + ], + "𣯐": [ + "ㄖㄨㄥ2" + ], + "𣯚": [ + "ㄊㄚ4" + ], + "𣯜": [ + "ㄙㄡ1" + ], + "𣯤": [ + "ㄌㄧ2" + ], + "𣯧": [ + "ㄘㄨㄟ3", + "ㄙㄨㄟ1" + ], + "𣯨": [ + "ㄗㄨㄥ1" + ], + "𣯩": [ + "ㄇㄣ2" + ], + "𣯪": [ + "ㄒㄧ3" + ], + "𣯬": [ + "ㄇㄤ3" + ], + "𣯭": [ + "ㄋㄧㄝ4" + ], + "𣯯": [ + "ㄙㄨㄟ1" + ], + "𣯱": [ + "ㄆㄟ2" + ], + "𣯴": [ + "ㄅㄧ4" + ], + "𣯵": [ + "ㄉㄧ4" + ], + "𣯸": [ + "ㄑㄩ2" + ], + "𣯹": [ + "ㄑㄧㄠ2" + ], + "𣯻": [ + "ㄈㄣ1" + ], + "𣯼": [ + "ㄙㄨ4" + ], + "𣰃": [ + "ㄒㄩ1" + ], + "𣰇": [ + "ㄖㄨㄥ3" + ], + "𣰈": [ + "ㄐㄧ1" + ], + "𣰋": [ + "ㄑㄩ2" + ], + "𣰌": [ + "ㄌㄧㄝ4", + "ㄏㄜ2" + ], + "𣰕": [ + "ㄙㄠ4" + ], + "𣰘": [ + "ㄎㄨㄣ4" + ], + "𣰚": [ + "ㄘㄨㄟ4" + ], + "𣰛": [ + "ㄧㄝ4" + ], + "𣰜": [ + "ㄅㄧㄥ4" + ], + "𣰞": [ + "ㄐㄧㄝ2" + ], + "𣰠": [ + "ㄑㄩ2" + ], + "𣰡": [ + "ㄑㄩ2" + ], + "𣰥": [ + "ㄇㄥ2" + ], + "𣰦": [ + "ㄖㄢ2", + "ㄍㄢ1" + ], + "𣰨": [ + "ㄅㄧㄣ1" + ], + "𣰩": [ + "ㄔㄠ2" + ], + "𣰬": [ + "ㄉㄨ2" + ], + "𣰶": [ + "ㄖㄤ2", + "ㄋㄤ3" + ], + "𣰷": [ + "ㄒㄧㄢ1" + ], + "𣰺": [ + "ㄊㄠ2" + ], + "𣰻": [ + "ㄑㄩ2" + ], + "𣰼": [ + "ㄋㄧㄝ4" + ], + "𣰿": [ + "ㄕㄨ1" + ], + "𣱀": [ + "ㄌㄨ3" + ], + "𣱂": [ + "ㄎㄨㄣ4" + ], + "𣱈": [ + "ㄇㄧㄣ2" + ], + "𣱉": [ + "ㄇㄧㄣ3" + ], + "𣱍": [ + "ㄉㄢ4" + ], + "𣱐": [ + "ㄧㄣ4", + "ㄓ4" + ], + "𣱓": [ + "ㄒㄧㄠ4", + "ㄏㄠ4" + ], + "𣱗": [ + "ㄐㄧ4" + ], + "𣱜": [ + "ㄧㄣ1" + ], + "𣱦": [ + "ㄈㄣ1" + ], + "𣱧": [ + "ㄓㄨㄥ4" + ], + "𣱫": [ + "ㄍㄨ3" + ], + "𣱱": [ + "ㄔㄚ2" + ], + "𣱳": [ + "ㄌㄧㄡ2" + ], + "𣱶": [ + "ㄅㄨ3" + ], + "𣱺": [ + "ㄆㄚ1" + ], + "𣱻": [ + "ㄙ4" + ], + "𣱼": [ + "ㄉㄠ1" + ], + "𣱽": [ + "ㄓㄣ3" + ], + "𣲀": [ + "ㄕㄢ1" + ], + "𣲂": [ + "ㄔㄨㄞ3" + ], + "𣲄": [ + "ㄐㄧㄡ3" + ], + "𣲊": [ + "ㄎㄜ4" + ], + "𣲋": [ + "ㄔ2" + ], + "𣲑": [ + "ㄏㄨ4", + "ㄔ2", + "ㄏㄜ2", + "ㄏㄨ2" + ], + "𣲒": [ + "ㄌㄧ4", + "ㄌㄜ4" + ], + "𣲓": [ + "ㄕㄚ1" + ], + "𣲖": [ + "ㄆㄞ4", + "ㄌㄧㄡ2", + "ㄍㄨ1" + ], + "𣲗": [ + "ㄨㄟ2" + ], + "𣲘": [ + "ㄨ3" + ], + "𣲜": [ + "ㄧㄥ2" + ], + "𣲡": [ + "ㄕㄚ1", + "ㄐㄧ2", + "ㄐㄧㄝ2" + ], + "𣲢": [ + "ㄉㄧ1" + ], + "𣲥": [ + "ㄉㄢ1" + ], + "𣲱": [ + "ㄊㄨ1" + ], + "𣲲": [ + "ㄏㄜ2" + ], + "𣲳": [ + "ㄆㄛ3" + ], + "𣲵": [ + "ㄓ3" + ], + "𣲶": [ + "ㄋㄧㄡ3" + ], + "𣲷": [ + "ㄋㄧ4" + ], + "𣲽": [ + "ㄖㄨㄥ3" + ], + "𣲾": [ + "ㄍㄨㄞ4" + ], + "𣳀": [ + "ㄓ2" + ], + "𣳃": [ + "ㄐㄧ2" + ], + "𣳜": [ + "ㄈㄢ4" + ], + "𣳟": [ + "ㄐㄧㄝ2" + ], + "𣳠": [ + "ㄏㄞ3", + "ㄇㄨ3" + ], + "𣳤": [ + "ㄓㄢ4" + ], + "𣳦": [ + "ㄒㄧ4", + "ㄋㄠ2" + ], + "𣳩": [ + "ㄗ1" + ], + "𣳬": [ + "ㄒㄧ2" + ], + "𣳭": [ + "ㄆㄧㄠ4" + ], + "𣳰": [ + "ㄅㄣ1" + ], + "𣳲": [ + "ㄐㄧㄢ3" + ], + "𣴓": [ + "ㄐㄧㄢ4" + ], + "𣴖": [ + "ㄗㄚ2" + ], + "𣴞": [ + "ㄅㄣ4" + ], + "𣴟": [ + "ㄇㄠ4", + "ㄏㄨㄢ3" + ], + "𣴢": [ + "ㄗㄠ4" + ], + "𣴣": [ + "ㄓㄨㄤ4" + ], + "𣴥": [ + "ㄎㄨㄤ2" + ], + "𣴨": [ + "ㄅㄧ2" + ], + "𣴪": [ + "ㄆㄞ4", + "ㄆㄧ4" + ], + "𣴼": [ + "ㄇㄠ4" + ], + "𣴽": [ + "ㄊㄢ4" + ], + "𣵞": [ + "ㄊㄨㄣ3" + ], + "𣵟": [ + "ㄌㄨㄛ3" + ], + "𣵢": [ + "ㄊㄢ1" + ], + "𣵱": [ + "ㄢ2" + ], + "𣵷": [ + "ㄏㄢ2", + "ㄍㄢ4" + ], + "𣵸": [ + "ㄓㄨ2" + ], + "𣵺": [ + "ㄉㄨㄛ4", + "ㄊㄨㄛ2" + ], + "𣵻": [ + "ㄉㄨㄛ4", + "ㄊㄨㄛ2" + ], + "𣵼": [ + "ㄍㄢ4" + ], + "𣶆": [ + "ㄑㄩㄥ4" + ], + "𣶈": [ + "ㄨㄤ3", + "ㄇㄤ3" + ], + "𣶊": [ + "ㄇㄛ4" + ], + "𣶋": [ + "ㄓㄜ4" + ], + "𣶌": [ + "ㄨㄣ3" + ], + "𣶍": [ + "ㄓㄨㄤ4" + ], + "𣶏": [ + "ㄐㄧㄝ1", + "ㄉㄧㄝ1" + ], + "𣶐": [ + "ㄆㄠ4" + ], + "𣶘": [ + "ㄙㄨ4" + ], + "𣶝": [ + "ㄐㄩ4" + ], + "𣶠": [ + "ㄑㄧ1" + ], + "𣶡": [ + "ㄘㄢ4" + ], + "𣶣": [ + "ㄊㄨㄢ2" + ], + "𣶤": [ + "ㄕㄚ1" + ], + "𣶦": [ + "ㄊㄨㄛ2" + ], + "𣶩": [ + "ㄏㄨㄚ4" + ], + "𣶫": [ + "ㄧ4" + ], + "𣷠": [ + "ㄇㄧㄣ2" + ], + "𣷡": [ + "ㄓㄨㄥ1" + ], + "𣷥": [ + "ㄕㄨㄛ4" + ], + "𣷩": [ + "ㄧ4" + ], + "𣷪": [ + "ㄨㄤ3" + ], + "𣷫": [ + "ㄠ2" + ], + "𣷶": [ + "ㄙㄨ3" + ], + "𣷾": [ + "ㄍㄨㄟ3" + ], + "𣷿": [ + "ㄊㄨㄛ3" + ], + "𣸀": [ + "ㄏㄨㄟ3" + ], + "𣸃": [ + "ㄒㄩ4" + ], + "𣸄": [ + "ㄗㄢ3" + ], + "𣸆": [ + "ㄗ3" + ], + "𣸇": [ + "ㄅㄧㄢ4" + ], + "𣸉": [ + "ㄉㄚ2" + ], + "𣸊": [ + "ㄧㄣ1" + ], + "𣸋": [ + "ㄑㄩㄢ3" + ], + "𣸎": [ + "ㄏㄨㄞ4" + ], + "𣸏": [ + "ㄋㄚ2" + ], + "𣸐": [ + "ㄗㄚ2" + ], + "𣸒": [ + "ㄊㄧ2" + ], + "𣸘": [ + "ㄧ2" + ], + "𣸙": [ + "ㄊㄢ1" + ], + "𣸚": [ + "ㄕㄜ2" + ], + "𣸛": [ + "ㄕㄨㄛ4" + ], + "𣸝": [ + "ㄒㄧㄥ2" + ], + "𣸠": [ + "ㄧㄡ3" + ], + "𣸣": [ + "ㄈㄣ2" + ], + "𣹇": [ + "ㄎㄜ4" + ], + "𣹋": [ + "ㄈㄨ2" + ], + "𣹒": [ + "ㄇㄧㄣ3" + ], + "𣹚": [ + "ㄆㄧ4" + ], + "𣹜": [ + "ㄐㄧ2" + ], + "𣹝": [ + "ㄑㄧㄠ4", + "ㄒㄧㄠ4" + ], + "𣹞": [ + "ㄓㄨㄥ3" + ], + "𣹟": [ + "ㄍㄢ4" + ], + "𣹠": [ + "ㄩㄢ1" + ], + "𣹡": [ + "ㄔ2" + ], + "𣹥": [ + "ㄑㄧㄢ4" + ], + "𣹧": [ + "ㄗㄨㄛ2", + "ㄓㄚ4" + ], + "𣹩": [ + "ㄒㄧㄝ2" + ], + "𣹪": [ + "ㄇㄠ2" + ], + "𣹬": [ + "ㄏㄨ2" + ], + "𣹮": [ + "ㄆㄧ4" + ], + "𣹯": [ + "ㄒㄩㄣ4" + ], + "𣹱": [ + "ㄒㄧㄚ2" + ], + "𣹲": [ + "ㄊㄧ2" + ], + "𣹵": [ + "ㄋㄚ4" + ], + "𣹶": [ + "ㄔㄨㄚ3" + ], + "𣺀": [ + "ㄨ3" + ], + "𣺬": [ + "ㄏㄨㄤ1" + ], + "𣺭": [ + "ㄒㄩㄝ4" + ], + "𣺮": [ + "ㄊㄠ4" + ], + "𣺰": [ + "ㄑㄧㄠ4" + ], + "𣺳": [ + "ㄐㄧㄠ1" + ], + "𣺼": [ + "ㄉㄤ3" + ], + "𣺽": [ + "ㄅㄞ4" + ], + "𣻍": [ + "ㄉㄤ4", + "ㄒㄧㄤ4" + ], + "𣻎": [ + "ㄎㄡ4" + ], + "𣻐": [ + "ㄐㄩ1" + ], + "𣻑": [ + "ㄕㄚ1", + "ㄕㄞ4" + ], + "𣻒": [ + "ㄐㄧㄥ1" + ], + "𣻕": [ + "ㄇㄛ2" + ], + "𣻖": [ + "ㄋㄡ2" + ], + "𣻘": [ + "ㄕㄨㄛ4" + ], + "𣻚": [ + "ㄕㄨ4" + ], + "𣻛": [ + "ㄓㄨㄤ1" + ], + "𣻜": [ + "ㄈㄨ2" + ], + "𣻟": [ + "ㄗㄤ1" + ], + "𣻠": [ + "ㄒㄧㄝ2" + ], + "𣻡": [ + "ㄌㄤ4" + ], + "𣻢": [ + "ㄊㄨㄥ1" + ], + "𣻩": [ + "ㄓㄜ2" + ], + "𣻬": [ + "ㄘㄢ4" + ], + "𣻮": [ + "ㄩㄝ4" + ], + "𣻱": [ + "ㄓㄡ4" + ], + "𣼚": [ + "ㄊㄢ1" + ], + "𣼞": [ + "ㄧㄢ2" + ], + "𣼟": [ + "ㄌㄨ4" + ], + "𣼠": [ + "ㄧㄢ3" + ], + "𣼦": [ + "ㄗㄜ2" + ], + "𣼧": [ + "ㄕㄨㄞ4" + ], + "𣽅": [ + "ㄍㄨㄛ1" + ], + "𣽆": [ + "ㄓㄨ2" + ], + "𣽈": [ + "ㄖㄨ2", + "ㄖㄨㄢ2" + ], + "𣽉": [ + "ㄖㄨ2" + ], + "𣽌": [ + "ㄎㄢ3" + ], + "𣽍": [ + "ㄐㄧ4" + ], + "𣽎": [ + "ㄍㄠ1", + "ㄗㄜ2", + "ㄏㄠ2" + ], + "𣽒": [ + "ㄒㄧㄝ4" + ], + "𣽕": [ + "ㄡ4" + ], + "𣽖": [ + "ㄐㄧㄢ1" + ], + "𣽚": [ + "ㄓ2" + ], + "𣽛": [ + "ㄓㄚ2" + ], + "𣽝": [ + "ㄏㄨㄥ3" + ], + "𣽟": [ + "ㄎㄨㄢ3" + ], + "𣽡": [ + "ㄅㄛ2" + ], + "𣽤": [ + "ㄙㄜ4" + ], + "𣽥": [ + "ㄢ4" + ], + "𣽦": [ + "ㄐㄧㄢ4" + ], + "𣽨": [ + "ㄊㄥ2" + ], + "𣽫": [ + "ㄙㄨㄥ1" + ], + "𣽭": [ + "ㄇㄥ4" + ], + "𣽮": [ + "ㄧㄣ2" + ], + "𣽯": [ + "ㄊㄢ1" + ], + "𣽰": [ + "ㄍㄨㄛ1" + ], + "𣽳": [ + "ㄖㄨㄢ2" + ], + "𣽴": [ + "ㄨㄟ4" + ], + "𣽷": [ + "ㄙ4" + ], + "𣾤": [ + "ㄑㄧ4" + ], + "𣾦": [ + "ㄓㄤ3" + ], + "𣿅": [ + "ㄉㄨㄥ3" + ], + "𣿆": [ + "ㄈㄨ2" + ], + "𣿇": [ + "ㄕㄣ3" + ], + "𣿈": [ + "ㄙㄨ4" + ], + "𣿉": [ + "ㄧ4" + ], + "𣿊": [ + "ㄌㄧㄢ4" + ], + "𣿌": [ + "ㄏㄜ2" + ], + "𣿎": [ + "ㄓㄣ1" + ], + "𣿐": [ + "ㄗㄜ2" + ], + "𣿒": [ + "ㄘㄨㄟ3" + ], + "𣿓": [ + "ㄘㄨㄟ3" + ], + "𣿝": [ + "ㄈㄥ4" + ], + "𣿞": [ + "ㄌㄧ3" + ], + "𣿟": [ + "ㄎㄡ4" + ], + "𣿣": [ + "ㄒㄧㄠ4" + ], + "𣿤": [ + "ㄧㄡ3" + ], + "𤀃": [ + "ㄏㄠ2" + ], + "𤀉": [ + "ㄏㄢ4" + ], + "𤀊": [ + "ㄎㄣ3" + ], + "𤀝": [ + "ㄩ4" + ], + "𤀣": [ + "ㄏㄨㄢ3" + ], + "𤀤": [ + "ㄙㄨㄛ1", + "ㄕㄢ4", + "ㄕㄨㄞ4" + ], + "𤀦": [ + "ㄌㄚ4" + ], + "𤀨": [ + "ㄉㄡ4" + ], + "𤀩": [ + "ㄐㄧㄢ4" + ], + "𤀪": [ + "ㄆㄛ1" + ], + "𤀫": [ + "ㄅㄧㄢ3" + ], + "𤀰": [ + "ㄒㄩㄝ4" + ], + "𤀲": [ + "ㄅㄧㄢ4" + ], + "𤀷": [ + "ㄨㄟ4" + ], + "𤁡": [ + "ㄉㄢ4" + ], + "𤁢": [ + "ㄐㄧㄝ2" + ], + "𤁣": [ + "ㄅㄞ4" + ], + "𤁥": [ + "ㄋㄧㄢ3" + ], + "𤁦": [ + "ㄒㄧㄢ4" + ], + "𤁧": [ + "ㄙㄜ4" + ], + "𤁪": [ + "ㄏㄨㄚ2" + ], + "𤁫": [ + "ㄔㄨㄚ1" + ], + "𤁮": [ + "ㄡ4" + ], + "𤁯": [ + "ㄌㄧㄝ4" + ], + "𤁰": [ + "ㄉㄧ2" + ], + "𤁱": [ + "ㄘㄞ4" + ], + "𤁳": [ + "ㄓㄚ2" + ], + "𤁵": [ + "ㄌㄩ2" + ], + "𤁹": [ + "ㄏㄨㄛ4" + ], + "𤁼": [ + "ㄌㄧ4" + ], + "𤁽": [ + "ㄧㄥ3" + ], + "𤁿": [ + "ㄨㄟ3" + ], + "𤂀": [ + "ㄅㄧ4" + ], + "𤂁": [ + "ㄍㄨㄛ2" + ], + "𤂃": [ + "ㄆㄧ4" + ], + "𤂆": [ + "ㄅㄧㄠ1" + ], + "𤂠": [ + "ㄧㄢ3" + ], + "𤂤": [ + "ㄓㄨㄢ4" + ], + "𤂲": [ + "ㄏㄨㄥ2" + ], + "𤂶": [ + "ㄌㄧㄣ4" + ], + "𤂷": [ + "ㄜ4" + ], + "𤂹": [ + "ㄧㄣ3" + ], + "𤂺": [ + "ㄌㄢ4" + ], + "𤂼": [ + "ㄧㄠ4" + ], + "𤂿": [ + "ㄒㄩㄢ4" + ], + "𤃀": [ + "ㄌㄧ4" + ], + "𤃨": [ + "ㄌㄢ4" + ], + "𤃩": [ + "ㄌㄧㄥ2" + ], + "𤃪": [ + "ㄒㄧ1" + ], + "𤃫": [ + "ㄏㄨㄥ1" + ], + "𤃭": [ + "ㄐㄧㄠ3" + ], + "𤃮": [ + "ㄓㄨㄛ2" + ], + "𤃲": [ + "ㄓ2" + ], + "𤃵": [ + "ㄅㄛ2" + ], + "𤃶": [ + "ㄊㄥ1" + ], + "𤃷": [ + "ㄢ3" + ], + "𤃺": [ + "ㄒㄩㄣ2" + ], + "𤃻": [ + "ㄌㄟ3" + ], + "𤃼": [ + "ㄗㄤ1" + ], + "𤃽": [ + "ㄏㄨㄟ3" + ], + "𤄎": [ + "ㄒㄧ4" + ], + "𤄏": [ + "ㄏㄨㄥ2" + ], + "𤄑": [ + "ㄈㄢ4" + ], + "𤄒": [ + "ㄐㄧㄢ3" + ], + "𤄓": [ + "ㄘㄨㄥ2" + ], + "𤄔": [ + "ㄗㄚ2" + ], + "𤄖": [ + "ㄘㄚ1", + "ㄗㄚ2" + ], + "𤄘": [ + "ㄧㄡ1" + ], + "𤄛": [ + "ㄉㄨㄟ4" + ], + "𤄜": [ + "ㄆㄢ1" + ], + "𤄥": [ + "ㄊㄚ4" + ], + "𤄧": [ + "ㄆㄢ4" + ], + "𤄫": [ + "ㄈㄢ1" + ], + "𤄬": [ + "ㄒㄧ1" + ], + "𤄶": [ + "ㄧㄠ4", + "ㄕㄨㄛ4" + ], + "𤄷": [ + "ㄌㄨㄛ2" + ], + "𤄺": [ + "ㄅㄧㄢ1" + ], + "𤄼": [ + "ㄐㄧㄣ4" + ], + "𤄽": [ + "ㄌㄧ4" + ], + "𤅊": [ + "ㄧㄢ4" + ], + "𤅋": [ + "ㄉㄡ4" + ], + "𤅎": [ + "ㄇㄢ4" + ], + "𤅐": [ + "ㄍㄨㄥ1" + ], + "𤅑": [ + "ㄖㄤ3" + ], + "𤅒": [ + "ㄘㄢ4" + ], + "𤅣": [ + "ㄇㄣ2" + ], + "𤅱": [ + "ㄍㄨ3" + ], + "𤅲": [ + "ㄕㄨㄢ4" + ], + "𤅸": [ + "ㄧㄢ2", + "ㄧㄢ4" + ], + "𤅹": [ + "ㄅㄧ4" + ], + "𤆀": [ + "ㄅㄧㄠ1" + ], + "𤆁": [ + "ㄔㄥ2" + ], + "𤆂": [ + "ㄎㄨㄟ4" + ], + "𤆄": [ + "ㄏㄨㄛ3", + "ㄗㄞ1" + ], + "𤆍": [ + "ㄔ4" + ], + "𤆏": [ + "ㄨㄛ4" + ], + "𤆑": [ + "ㄘㄡ4" + ], + "𤆒": [ + "ㄓ4" + ], + "𤆙": [ + "ㄕㄨㄟ3" + ], + "𤆜": [ + "ㄍㄨㄚ4" + ], + "𤆝": [ + "ㄆㄨ1" + ], + "𤆞": [ + "ㄒㄩ4" + ], + "𤆟": [ + "ㄙ1" + ], + "𤆡": [ + "ㄨ3" + ], + "𤆮": [ + "ㄈㄨ1" + ], + "𤆰": [ + "ㄕ4" + ], + "𤆳": [ + "ㄏㄨㄟ4" + ], + "𤆴": [ + "ㄏㄨㄤ1" + ], + "𤆵": [ + "ㄆㄚ1" + ], + "𤆼": [ + "ㄓㄨ3" + ], + "𤆾": [ + "ㄧ2" + ], + "𤇃": [ + "ㄌㄧ4" + ], + "𤇄": [ + "ㄕㄢ3" + ], + "𤇜": [ + "ㄇㄧㄣ2" + ], + "𤇞": [ + "ㄍㄜ1" + ], + "𤇠": [ + "ㄏㄨ1" + ], + "𤇯": [ + "ㄣ1", + "ㄠ1" + ], + "𤇰": [ + "ㄈㄚ2" + ], + "𤇳": [ + "ㄒㄩ4", + "ㄒㄩㄝ4" + ], + "𤇴": [ + "ㄧ2", + "ㄒㄧ1" + ], + "𤇾": [ + "ㄧㄥ2" + ], + "𤈔": [ + "ㄔ2" + ], + "𤈙": [ + "ㄧ2" + ], + "𤈥": [ + "ㄉㄧ2" + ], + "𤈦": [ + "ㄏㄨㄟ3", + "ㄇㄟ2" + ], + "𤈧": [ + "ㄏㄜ2" + ], + "𤈩": [ + "ㄓㄚ3" + ], + "𤈶": [ + "ㄩㄣ2" + ], + "𤈷": [ + "ㄒㄧㄢ1" + ], + "𤉌": [ + "ㄒㄧㄢ2" + ], + "𤉍": [ + "ㄌㄠ4" + ], + "𤉎": [ + "ㄕㄠ4" + ], + "𤉏": [ + "ㄕ4" + ], + "𤉐": [ + "ㄓㄨㄛ2" + ], + "𤉤": [ + "ㄅㄧㄝ1" + ], + "𤉥": [ + "ㄐㄧㄡ3" + ], + "𤉦": [ + "ㄨㄛ1" + ], + "𤉧": [ + "ㄐㄧㄠ3" + ], + "𤉨": [ + "ㄈㄨ2" + ], + "𤉪": [ + "ㄒㄧㄤ1" + ], + "𤉫": [ + "ㄎㄞ4" + ], + "𤊲": [ + "ㄋㄠ3" + ], + "𤊴": [ + "ㄏㄨㄛ4" + ], + "𤊵": [ + "ㄐㄧ2" + ], + "𤊶": [ + "ㄌㄚ4" + ], + "𤊻": [ + "ㄈㄡ1" + ], + "𤊼": [ + "ㄕㄢ3" + ], + "𤊽": [ + "ㄌㄧㄠ4", + "ㄌㄧㄠ3" + ], + "𤊾": [ + "ㄇㄧㄝ4" + ], + "𤊿": [ + "ㄔㄜ4" + ], + "𤋂": [ + "ㄇㄛ2" + ], + "𤋏": [ + "ㄌㄡ2" + ], + "𤋨": [ + "ㄉㄨㄛ4" + ], + "𤋫": [ + "ㄋㄠ3" + ], + "𤋭": [ + "ㄐㄧ1" + ], + "𤋰": [ + "ㄓㄨ4" + ], + "𤌂": [ + "ㄙㄨ4" + ], + "𤌃": [ + "ㄉㄨㄛ4" + ], + "𤌇": [ + "ㄐㄩㄥ3" + ], + "𤌊": [ + "ㄗㄞ3" + ], + "𤌋": [ + "ㄏㄨㄟ3" + ], + "𤌌": [ + "ㄧㄥ3" + ], + "𤌍": [ + "ㄏㄨ2" + ], + "𤌎": [ + "ㄌㄧㄣ4", + "ㄌㄧㄣ3" + ], + "𤌏": [ + "ㄨㄥ3" + ], + "𤌐": [ + "ㄏㄢ4" + ], + "𤌔": [ + "ㄋㄢ2" + ], + "𤌷": [ + "ㄒㄧ4" + ], + "𤌹": [ + "ㄍㄢ4" + ], + "𤌾": [ + "ㄏㄜ4" + ], + "𤌿": [ + "ㄐㄧ1" + ], + "𤍀": [ + "ㄒㄧㄤ3" + ], + "𤍁": [ + "ㄕㄚ1" + ], + "𤍐": [ + "ㄊㄨㄟ4" + ], + "𤍒": [ + "ㄓㄠ1" + ], + "𤍓": [ + "ㄕㄨ4" + ], + "𤍕": [ + "ㄧㄡ3" + ], + "𤍖": [ + "ㄐㄧㄢ1" + ], + "𤍜": [ + "ㄗㄠ4" + ], + "𤍠": [ + "ㄖㄜ4" + ], + "𤍤": [ + "ㄓㄤ1" + ], + "𤍽": [ + "ㄖㄨㄛ4" + ], + "𤎄": [ + "ㄧㄢ1" + ], + "𤎋": [ + "ㄘㄨㄟ4" + ], + "𤎗": [ + "ㄐㄧ2" + ], + "𤎘": [ + "ㄕㄤ1" + ], + "𤎣": [ + "ㄜ4" + ], + "𤎤": [ + "ㄌㄠ2" + ], + "𤎥": [ + "ㄊㄢ3", + "ㄔㄢ1" + ], + "𤎧": [ + "ㄓㄨ4" + ], + "𤎭": [ + "ㄌㄧㄣ3", + "ㄧㄣ3" + ], + "𤎯": [ + "ㄗㄥ1" + ], + "𤎱": [ + "ㄐㄩㄢ3" + ], + "𤎲": [ + "ㄏㄨ1" + ], + "𤏗": [ + "ㄕㄣ3" + ], + "𤏘": [ + "ㄏㄨㄛ4" + ], + "𤏜": [ + "ㄎㄨㄟ4" + ], + "𤏱": [ + "ㄔㄨ4" + ], + "𤏲": [ + "ㄓㄡ4" + ], + "𤏶": [ + "ㄠ1" + ], + "𤏸": [ + "ㄓㄨㄛ2" + ], + "𤏽": [ + "ㄒㄧㄥ1" + ], + "𤏿": [ + "ㄇㄧㄝ4" + ], + "𤐀": [ + "ㄏㄨ1" + ], + "𤐔": [ + "ㄊㄢ2" + ], + "𤐙": [ + "ㄅㄧ4" + ], + "𤐣": [ + "ㄉㄧㄥ3" + ], + "𤐩": [ + "ㄎㄞ4" + ], + "𤐫": [ + "ㄅㄧㄠ1" + ], + "𤐰": [ + "ㄏㄨㄛ4" + ], + "𤐱": [ + "ㄌㄧㄝ4" + ], + "𤐲": [ + "ㄘㄨㄢ4" + ], + "𤑃": [ + "ㄒㄧㄢ4" + ], + "𤑄": [ + "ㄖㄜ4" + ], + "𤑓": [ + "ㄩㄝ4" + ], + "𤑕": [ + "ㄒㄩㄣ1" + ], + "𤑗": [ + "ㄌㄧㄠ3", + "ㄓㄠ1" + ], + "𤑣": [ + "ㄕㄚ1" + ], + "𤑦": [ + "ㄕ4" + ], + "𤑪": [ + "ㄒㄧㄝ4" + ], + "𤑳": [ + "ㄒㄧㄠ1" + ], + "𤑷": [ + "ㄧㄝ2" + ], + "𤑸": [ + "ㄌㄢ3" + ], + "𤑹": [ + "ㄧ4" + ], + "𤑿": [ + "ㄌㄧㄢ3" + ], + "𤒔": [ + "ㄅㄛ2" + ], + "𤒕": [ + "ㄘㄠ1" + ], + "𤒝": [ + "ㄧㄠ4" + ], + "𤒦": [ + "ㄌㄧㄢ4", + "ㄧㄢ4" + ], + "𤒻": [ + "ㄊㄚ4" + ], + "𤓑": [ + "ㄐㄧ4" + ], + "𤓔": [ + "ㄒㄧ1" + ], + "𤓕": [ + "ㄓ4" + ], + "𤓚": [ + "ㄒㄧ1" + ], + "𤓝": [ + "ㄩㄝ4" + ], + "𤓤": [ + "ㄒㄧㄢ3" + ], + "𤓦": [ + "ㄓㄨㄛ4" + ], + "𤓯": [ + "ㄓㄤ3", + "ㄐㄩ2" + ], + "𤓵": [ + "ㄗㄨ3" + ], + "𤓷": [ + "ㄋㄚ2" + ], + "𤓾": [ + "ㄉㄠ4" + ], + "𤓿": [ + "ㄌㄧㄝ4" + ], + "𤔀": [ + "ㄋㄚ2" + ], + "𤔉": [ + "ㄆㄠ2" + ], + "𤔋": [ + "ㄐㄩ4" + ], + "𤔔": [ + "ㄌㄨㄢ4" + ], + "𤔖": [ + "ㄌㄨㄛ3" + ], + "𤔙": [ + "ㄕㄨㄚ3" + ], + "𤔚": [ + "ㄕㄤ4" + ], + "𤔝": [ + "ㄌㄨㄛ3" + ], + "𤔟": [ + "ㄈㄣ1" + ], + "𤔣": [ + "ㄅㄠ4" + ], + "𤔨": [ + "ㄌㄧ4" + ], + "𤔫": [ + "ㄒㄩㄥ4" + ], + "𤔶": [ + "ㄉㄤ1" + ], + "𤕀": [ + "ㄔㄥ4" + ], + "𤕄": [ + "ㄓㄤ3" + ], + "𤕇": [ + "ㄙㄡ3" + ], + "𤕊": [ + "ㄕㄣ2" + ], + "𤕒": [ + "ㄍㄜ3" + ], + "𤕘": [ + "ㄩ1", + "ㄨ4" + ], + "𤕚": [ + "ㄏㄨㄟ1" + ], + "𤕛": [ + "ㄔㄜ4" + ], + "𤕝": [ + "ㄐㄧㄠ4", + "ㄅㄛ2" + ], + "𤕞": [ + "ㄓㄨ4" + ], + "𤕟": [ + "ㄕㄨ1" + ], + "𤕢": [ + "ㄒㄧㄠ2" + ], + "𤕦": [ + "ㄋㄧㄥ2" + ], + "𤕭": [ + "ㄐㄧㄤ1" + ], + "𤕯": [ + "ㄐㄧㄤ1", + "ㄓㄨㄤ4" + ], + "𤕷": [ + "ㄉㄧㄠ4" + ], + "𤕽": [ + "ㄑㄧㄤ2" + ], + "𤕾": [ + "ㄑㄧㄡ2", + "ㄈㄨ3" + ], + "𤖀": [ + "ㄈㄥ1" + ], + "𤖆": [ + "ㄓㄢ4" + ], + "𤖇": [ + "ㄎㄜ1" + ], + "𤖒": [ + "ㄉㄧㄝ2" + ], + "𤖓": [ + "ㄗㄜ2" + ], + "𤖖": [ + "ㄍㄨㄤ1" + ], + "𤖗": [ + "ㄙㄜ4" + ], + "𤖘": [ + "ㄈㄣ4", + "ㄈㄣ2" + ], + "𤖛": [ + "ㄐㄧㄤ3" + ], + "𤖝": [ + "ㄧㄢ2" + ], + "𤖞": [ + "ㄓ4" + ], + "𤖢": [ + "ㄌㄧ4" + ], + "𤖦": [ + "ㄌㄧㄥ2" + ], + "𤖪": [ + "ㄧ2" + ], + "𤖬": [ + "ㄑㄩ3" + ], + "𤖭": [ + "ㄆㄢ2" + ], + "𤖮": [ + "ㄍㄡ1" + ], + "𤖰": [ + "ㄐㄧㄚ3" + ], + "𤖱": [ + "ㄏㄜ2" + ], + "𤖳": [ + "ㄆㄥ4" + ], + "𤖵": [ + "ㄐㄩ4" + ], + "𤖷": [ + "ㄔㄜ4" + ], + "𤖺": [ + "ㄌㄧㄝ4" + ], + "𤖻": [ + "ㄕ4" + ], + "𤖼": [ + "ㄆㄛ4" + ], + "𤖽": [ + "ㄒㄧㄤ4" + ], + "𤖿": [ + "ㄆㄧ4" + ], + "𤗀": [ + "ㄌㄨㄛ3" + ], + "𤗁": [ + "ㄘㄨ4" + ], + "𤗃": [ + "ㄩ3" + ], + "𤗇": [ + "ㄎㄨㄥ4" + ], + "𤗈": [ + "ㄒㄧㄝ4" + ], + "𤗍": [ + "ㄨㄢ3" + ], + "𤗎": [ + "ㄧㄢ3" + ], + "𤗏": [ + "ㄆㄟ2" + ], + "𤗓": [ + "ㄔㄥ2" + ], + "𤗘": [ + "ㄊㄧ2" + ], + "𤗙": [ + "ㄔㄜ4", + "ㄊㄨㄛ4" + ], + "𤗚": [ + "ㄅㄧ4" + ], + "𤗛": [ + "ㄌㄧㄢ4" + ], + "𤗜": [ + "ㄐㄧㄚ3" + ], + "𤗞": [ + "ㄊㄧㄥ2" + ], + "𤗢": [ + "ㄊㄧ1" + ], + "𤗨": [ + "ㄉㄧㄝ2" + ], + "𤗪": [ + "ㄕㄨ4" + ], + "𤗫": [ + "ㄌㄧ2" + ], + "𤗬": [ + "ㄌㄩ2" + ], + "𤗭": [ + "ㄒㄧㄚ4", + "ㄒㄧㄚ1" + ], + "𤗯": [ + "ㄘㄨㄟ1" + ], + "𤗳": [ + "ㄅㄛ1" + ], + "𤗴": [ + "ㄊㄨㄟ2" + ], + "𤗵": [ + "ㄆㄨ2" + ], + "𤗷": [ + "ㄌㄧㄣ4" + ], + "𤗸": [ + "ㄈㄣ4", + "ㄈㄣ2" + ], + "𤗺": [ + "ㄅㄛ2" + ], + "𤗻": [ + "ㄔㄢ4" + ], + "𤗾": [ + "ㄉㄤ1" + ], + "𤗿": [ + "ㄊㄞ3" + ], + "𤘀": [ + "ㄉㄠ4" + ], + "𤘃": [ + "ㄌㄧ4" + ], + "𤘅": [ + "ㄧㄚ2" + ], + "𤘆": [ + "ㄧㄚ2" + ], + "𤘇": [ + "ㄓㄢ1" + ], + "𤘊": [ + "ㄧ2" + ], + "𤘌": [ + "ㄑㄧ1" + ], + "𤘔": [ + "ㄏㄨ4" + ], + "𤘖": [ + "ㄊㄧㄥ1" + ], + "𤘘": [ + "ㄎㄡ3" + ], + "𤘛": [ + "ㄔㄨㄣ2" + ], + "𤘜": [ + "ㄧㄡ2" + ], + "𤘝": [ + "ㄈㄣ4" + ], + "𤘟": [ + "ㄋㄨㄛ2" + ], + "𤘠": [ + "ㄊㄧㄢ4" + ], + "𤘡": [ + "ㄐㄧㄣ4" + ], + "𤘢": [ + "ㄆㄧ2" + ], + "𤘣": [ + "ㄔㄣ2" + ], + "𤘤": [ + "ㄆㄧ4" + ], + "𤘦": [ + "ㄐㄧㄝ4" + ], + "𤘧": [ + "ㄍㄨㄟ3" + ], + "𤘲": [ + "ㄓㄨㄤ4" + ], + "𤘵": [ + "ㄏㄨ2" + ], + "𤘶": [ + "ㄔㄡ3" + ], + "𤘷": [ + "ㄕㄨ4" + ], + "𤘸": [ + "ㄊㄠ1" + ], + "𤘹": [ + "ㄆㄧ2" + ], + "𤘺": [ + "ㄖㄨㄥ3" + ], + "𤘻": [ + "ㄖㄨㄥ3" + ], + "𤘽": [ + "ㄏㄡ3" + ], + "𤘾": [ + "ㄆㄥ1" + ], + "𤙅": [ + "ㄅㄞ4" + ], + "𤙇": [ + "ㄒㄧㄚ2" + ], + "𤙋": [ + "ㄑㄧㄣ3" + ], + "𤙌": [ + "ㄋㄧ3" + ], + "𤙎": [ + "ㄊㄠ1" + ], + "𤙏": [ + "ㄑㄩ4" + ], + "𤙒": [ + "ㄒㄧㄝ2" + ], + "𤙔": [ + "ㄓㄠ4" + ], + "𤙕": [ + "ㄏㄨㄚ1" + ], + "𤙖": [ + "ㄒㄧㄣ1" + ], + "𤙘": [ + "ㄕㄡ1" + ], + "𤙛": [ + "ㄊㄨ2" + ], + "𤙝": [ + "ㄌㄧㄤ2" + ], + "𤙞": [ + "ㄅㄧ4" + ], + "𤙟": [ + "ㄔㄨ1" + ], + "𤙡": [ + "ㄒㄧㄥ1" + ], + "𤙣": [ + "ㄒㄧㄣ1" + ], + "𤙤": [ + "ㄈㄨ1" + ], + "𤙩": [ + "ㄐㄧㄝ4" + ], + "𤙭": [ + "ㄈㄨ3" + ], + "𤙰": [ + "ㄊㄜ4" + ], + "𤙱": [ + "ㄕㄜ4" + ], + "𤙴": [ + "ㄔㄠ1" + ], + "𤙵": [ + "ㄔㄨㄟ1" + ], + "𤙼": [ + "ㄖㄢ2" + ], + "𤙽": [ + "ㄏㄡ3" + ], + "𤙾": [ + "ㄅㄥ1" + ], + "𤚀": [ + "ㄘㄞ3" + ], + "𤚅": [ + "ㄇㄨ2" + ], + "𤚉": [ + "ㄒㄩ1" + ], + "𤚊": [ + "ㄉㄧㄝ2" + ], + "𤚍": [ + "ㄔㄢ3" + ], + "𤚎": [ + "ㄩ2" + ], + "𤚏": [ + "ㄓㄨㄥ4" + ], + "𤚓": [ + "ㄌㄧ2" + ], + "𤚔": [ + "ㄕㄡ1" + ], + "𤚚": [ + "ㄉㄨ2" + ], + "𤚜": [ + "ㄇㄠ1" + ], + "𤚝": [ + "ㄏㄨㄤ2" + ], + "𤚟": [ + "ㄊㄠ2" + ], + "𤚡": [ + "ㄉㄨ4" + ], + "𤚢": [ + "ㄊㄧ2" + ], + "𤚣": [ + "ㄕㄥ1" + ], + "𤚤": [ + "ㄇㄟ2" + ], + "𤚨": [ + "ㄓㄣ1" + ], + "𤚩": [ + "ㄑㄧㄣ2" + ], + "𤚪": [ + "ㄆㄧ4" + ], + "𤚫": [ + "ㄊㄤ2" + ], + "𤚬": [ + "ㄘㄤ1" + ], + "𤚭": [ + "ㄧㄠ2" + ], + "𤚯": [ + "ㄒㄧㄡ4" + ], + "𤚰": [ + "ㄅㄤ1" + ], + "𤚱": [ + "ㄍㄨ3" + ], + "𤚵": [ + "ㄅㄨ4" + ], + "𤚼": [ + "ㄍㄡ4" + ], + "𤚽": [ + "ㄅㄛ2" + ], + "𤛁": [ + "ㄨㄣ4" + ], + "𤛄": [ + "ㄐㄧ4" + ], + "𤛊": [ + "ㄌㄚ1" + ], + "𤛍": [ + "ㄘㄨㄟ1" + ], + "𤛎": [ + "ㄇㄧㄣ3" + ], + "𤛏": [ + "ㄘㄨ3" + ], + "𤛐": [ + "ㄡ1" + ], + "𤛑": [ + "ㄩㄥ1" + ], + "𤛖": [ + "ㄇㄠ2" + ], + "𤛗": [ + "ㄎㄜ4" + ], + "𤛘": [ + "ㄇㄤ1" + ], + "𤛙": [ + "ㄉㄧㄥ3" + ], + "𤛚": [ + "ㄏㄨㄢ1" + ], + "𤛛": [ + "ㄉㄨㄛ3" + ], + "𤛜": [ + "ㄐㄧㄤ1" + ], + "𤛝": [ + "ㄙㄨ4" + ], + "𤛢": [ + "ㄘㄥ2" + ], + "𤛣": [ + "ㄊㄚ4" + ], + "𤛥": [ + "ㄏㄨㄤ2" + ], + "𤛦": [ + "ㄐㄩㄝ2" + ], + "𤛧": [ + "ㄒㄩㄣ2" + ], + "𤛪": [ + "ㄒㄩㄥ4" + ], + "𤛬": [ + "ㄇㄧ4" + ], + "𤛭": [ + "ㄑㄩㄣ2" + ], + "𤛮": [ + "ㄌㄠ2" + ], + "𤛱": [ + "ㄓ4" + ], + "𤛲": [ + "ㄨㄟ3", + "ㄨㄟ2" + ], + "𤛷": [ + "ㄙㄜ4" + ], + "𤛻": [ + "ㄗㄤ1" + ], + "𤜁": [ + "ㄢ3" + ], + "𤜂": [ + "ㄨㄟ4", + "ㄍㄨㄟ4" + ], + "𤜄": [ + "ㄏㄨㄞ2", + "ㄏㄨㄞ4" + ], + "𤜇": [ + "ㄓㄢ4" + ], + "𤜉": [ + "ㄧㄥ1" + ], + "𤜊": [ + "ㄍㄜ1" + ], + "𤜋": [ + "ㄏㄨㄟ4" + ], + "𤜍": [ + "ㄑㄩㄢ2" + ], + "𤜓": [ + "ㄌㄧㄝ4" + ], + "𤜔": [ + "ㄐㄩ2" + ], + "𤜕": [ + "ㄅㄚ4" + ], + "𤜖": [ + "ㄌㄟ2" + ], + "𤜘": [ + "ㄇㄢ2" + ], + "𤜙": [ + "ㄌㄧㄥ2" + ], + "𤜜": [ + "ㄌㄧ4" + ], + "𤜝": [ + "ㄐㄧ3" + ], + "𤜡": [ + "ㄏㄨㄟ2" + ], + "𤜢": [ + "ㄒㄧㄣ4" + ], + "𤜣": [ + "ㄕ4", + "ㄕㄜ2" + ], + "𤜤": [ + "ㄓㄜ2" + ], + "𤜧": [ + "ㄅㄛ1" + ], + "𤜫": [ + "ㄔㄚ1" + ], + "𤜯": [ + "ㄔㄚ1" + ], + "𤜰": [ + "ㄐㄧㄥ1" + ], + "𤜱": [ + "ㄅㄚ1" + ], + "𤜲": [ + "ㄅㄟ4", + "ㄆㄟ4" + ], + "𤜵": [ + "ㄧㄢ4" + ], + "𤜷": [ + "ㄏㄨ4" + ], + "𤜹": [ + "ㄩ2" + ], + "𤜻": [ + "ㄅㄧ4", + "ㄆㄧ2" + ], + "𤜼": [ + "ㄔㄨㄢ2" + ], + "𤜾": [ + "ㄐㄧ3" + ], + "𤝂": [ + "ㄇㄨ4" + ], + "𤝄": [ + "ㄇㄠ2" + ], + "𤝅": [ + "ㄓㄨㄥ1" + ], + "𤝇": [ + "ㄧㄝ4" + ], + "𤝈": [ + "ㄉㄡ1" + ], + "𤝉": [ + "ㄧㄝ3" + ], + "𤝍": [ + "ㄖ4" + ], + "𤝎": [ + "ㄧㄣ1" + ], + "𤝐": [ + "ㄏㄠ4" + ], + "𤝒": [ + "ㄋㄚ4" + ], + "𤝓": [ + "ㄊㄧㄝ4" + ], + "𤝔": [ + "ㄈㄨ4", + "ㄔㄞ2" + ], + "𤝕": [ + "ㄇㄨ3" + ], + "𤝖": [ + "ㄗㄞ3" + ], + "𤝘": [ + "ㄏㄨ2" + ], + "𤝚": [ + "ㄔㄣ1" + ], + "𤝛": [ + "ㄊㄨㄛ2" + ], + "𤝞": [ + "ㄔㄨ4" + ], + "𤝟": [ + "ㄈㄨ2", + "ㄈㄟ4" + ], + "𤝧": [ + "ㄅㄠ4" + ], + "𤝬": [ + "ㄉㄧ3" + ], + "𤝭": [ + "ㄘㄞ3" + ], + "𤝮": [ + "ㄌㄨ4" + ], + "𤝯": [ + "ㄆㄛ3" + ], + "𤝰": [ + "ㄉㄚ2" + ], + "𤝱": [ + "ㄧㄝ4" + ], + "𤝳": [ + "ㄧ3" + ], + "𤝷": [ + "ㄒㄧㄤ2" + ], + "𤝸": [ + "ㄅㄧ1" + ], + "𤝹": [ + "ㄓㄨ1" + ], + "𤝻": [ + "ㄧ2" + ], + "𤝽": [ + "ㄌㄩ4" + ], + "𤝿": [ + "ㄎㄨㄤ1" + ], + "𤞂": [ + "ㄓ4" + ], + "𤞇": [ + "ㄨㄚ2", + "ㄎㄨㄤ2" + ], + "𤞈": [ + "ㄉㄧ1" + ], + "𤞉": [ + "ㄕㄨ4" + ], + "𤞊": [ + "ㄌㄧㄝ4" + ], + "𤞋": [ + "ㄗㄠ3" + ], + "𤞌": [ + "ㄓ4" + ], + "𤞍": [ + "ㄋㄠ2" + ], + "𤞗": [ + "ㄔㄞ2" + ], + "𤞚": [ + "ㄒㄧㄠ1" + ], + "𤞛": [ + "ㄗㄤ4" + ], + "𤞞": [ + "ㄩ4" + ], + "𤞟": [ + "ㄉㄡ4" + ], + "𤞠": [ + "ㄔㄚ4" + ], + "𤞡": [ + "ㄒㄧㄝ2" + ], + "𤞢": [ + "ㄧㄤ2" + ], + "𤞤": [ + "ㄒㄧㄢ3" + ], + "𤞥": [ + "ㄅㄠ3" + ], + "𤞮": [ + "ㄓㄞ4", + "ㄓㄞ1" + ], + "𤞰": [ + "ㄑㄧㄡ2" + ], + "𤞲": [ + "ㄏㄨ2" + ], + "𤞳": [ + "ㄗㄞ4" + ], + "𤞴": [ + "ㄐㄩㄝ2" + ], + "𤞶": [ + "ㄏㄢ1", + "ㄏㄢ4" + ], + "𤞿": [ + "ㄢ4" + ], + "𤟀": [ + "ㄗㄠ4" + ], + "𤟃": [ + "ㄕㄚ4" + ], + "𤟅": [ + "ㄒㄧㄢ4" + ], + "𤟆": [ + "ㄔ3" + ], + "𤟇": [ + "ㄧㄢ3" + ], + "𤟉": [ + "ㄢ4" + ], + "𤟍": [ + "ㄓㄜ2" + ], + "𤟎": [ + "ㄐㄩㄝ2" + ], + "𤟑": [ + "ㄌㄧ4" + ], + "𤟓": [ + "ㄌㄜ4" + ], + "𤟖": [ + "ㄘㄞ3" + ], + "𤟘": [ + "ㄌㄨ4" + ], + "𤟚": [ + "ㄐㄧㄚ1" + ], + "𤟝": [ + "ㄒㄧㄚ4" + ], + "𤟞": [ + "ㄒㄧㄠ4" + ], + "𤟟": [ + "ㄧㄢ1" + ], + "𤟠": [ + "ㄒㄩ1" + ], + "𤟢": [ + "ㄉㄨㄣ4" + ], + "𤟣": [ + "ㄧㄥ2" + ], + "𤟤": [ + "ㄏㄨㄟ1", + "ㄒㄩㄣ1" + ], + "𤟥": [ + "ㄊㄧ2" + ], + "𤟦": [ + "ㄋㄡ2" + ], + "𤟧": [ + "ㄒㄧ3" + ], + "𤟪": [ + "ㄊㄨ2" + ], + "𤟷": [ + "ㄨㄞ1" + ], + "𤟸": [ + "ㄔㄣ1" + ], + "𤟼": [ + "ㄏㄨㄥ1" + ], + "𤟾": [ + "ㄊㄧ2" + ], + "𤟿": [ + "ㄒㄩㄢ1" + ], + "𤠀": [ + "ㄗㄚ2" + ], + "𤠇": [ + "ㄍㄜ2" + ], + "𤠋": [ + "ㄌㄡ2" + ], + "𤠌": [ + "ㄔㄞ2" + ], + "𤠍": [ + "ㄆㄢ2" + ], + "𤠎": [ + "ㄐㄧ2" + ], + "𤠐": [ + "ㄊㄚ4" + ], + "𤠓": [ + "ㄒㄧ1" + ], + "𤠖": [ + "ㄒㄧㄠ1" + ], + "𤠘": [ + "ㄙㄠ1" + ], + "𤠙": [ + "ㄐㄧㄚ1" + ], + "𤠚": [ + "ㄙㄨ4" + ], + "𤠛": [ + "ㄏㄨㄤ1" + ], + "𤠝": [ + "ㄘㄨㄛ1" + ], + "𤠟": [ + "ㄊㄚ4" + ], + "𤠠": [ + "ㄕㄨㄞ1" + ], + "𤠪": [ + "ㄈㄨ2" + ], + "𤠫": [ + "ㄌㄧ4" + ], + "𤠭": [ + "ㄕㄜ4" + ], + "𤠯": [ + "ㄊㄤ2" + ], + "𤠶": [ + "ㄉㄧㄢ1" + ], + "𤠺": [ + "ㄅㄧ4" + ], + "𤠼": [ + "ㄍㄡ4" + ], + "𤠽": [ + "ㄘㄨ4" + ], + "𤠿": [ + "ㄑㄧㄢ1" + ], + "𤡂": [ + "ㄌㄟ2", + "ㄌㄟ3" + ], + "𤡃": [ + "ㄙㄨ4" + ], + "𤡆": [ + "ㄗㄨㄥ4", + "ㄗㄨㄥ1" + ], + "𤡇": [ + "ㄏㄠ1" + ], + "𤡏": [ + "ㄔ4" + ], + "𤡐": [ + "ㄘㄠ2" + ], + "𤡓": [ + "ㄨㄛ4" + ], + "𤡔": [ + "ㄒㄧㄠ1" + ], + "𤡕": [ + "ㄌㄧㄝ4", + "ㄨㄣ3" + ], + "𤡖": [ + "ㄧㄢ2", + "ㄧㄢ1" + ], + "𤡝": [ + "ㄅㄧ4" + ], + "𤡟": [ + "ㄏㄨㄢ4" + ], + "𤡡": [ + "ㄒㄧ1" + ], + "𤡢": [ + "ㄔ1" + ], + "𤡣": [ + "ㄒㄩ1" + ], + "𤡤": [ + "ㄋㄠ2", + "ㄋㄚ4", + "ㄖㄨ2" + ], + "𤡥": [ + "ㄧㄢ2", + "ㄒㄧㄢ4" + ], + "𤡧": [ + "ㄒㄧㄝ4" + ], + "𤡨": [ + "ㄓㄚ2" + ], + "𤡪": [ + "ㄙㄨㄟ4", + "ㄨㄟ3" + ], + "𤡬": [ + "ㄒㄧ4" + ], + "𤡭": [ + "ㄅㄥ1", + "ㄆㄥ2" + ], + "𤡮": [ + "ㄖㄢ2" + ], + "𤡯": [ + "ㄕㄨㄛ4", + "ㄒㄧ1", + "ㄑㄩㄝ4" + ], + "𤡰": [ + "ㄅㄢ1" + ], + "𤡱": [ + "ㄍㄨㄟ4" + ], + "𤡲": [ + "ㄎㄞ1" + ], + "𤡳": [ + "ㄔㄣ1" + ], + "𤡶": [ + "ㄒㄩ4" + ], + "𤡾": [ + "ㄜ4" + ], + "𤡿": [ + "ㄌㄧ4" + ], + "𤢀": [ + "ㄒㄧ1" + ], + "𤢁": [ + "ㄏㄨㄢ4" + ], + "𤢂": [ + "ㄙㄨ4" + ], + "𤢄": [ + "ㄔㄤ3" + ], + "𤢊": [ + "ㄌㄨ4" + ], + "𤢋": [ + "ㄧㄢ2" + ], + "𤢎": [ + "ㄉㄤ1" + ], + "𤢏": [ + "ㄉㄢ3" + ], + "𤢐": [ + "ㄧㄤ1" + ], + "𤢒": [ + "ㄓㄞ3" + ], + "𤢓": [ + "ㄐㄩ4", + "ㄑㄩ2" + ], + "𤢕": [ + "ㄉㄨㄛ2" + ], + "𤢖": [ + "ㄙㄠ1", + "ㄕㄢ1" + ], + "𤢗": [ + "ㄌㄞ2" + ], + "𤢘": [ + "ㄙㄨ4" + ], + "𤢟": [ + "ㄗㄜ2" + ], + "𤢣": [ + "ㄅㄧ4" + ], + "𤢦": [ + "ㄧㄣ4" + ], + "𤢨": [ + "ㄏㄠ1" + ], + "𤢪": [ + "ㄌㄧㄝ4" + ], + "𤢭": [ + "ㄏㄠ2" + ], + "𤢮": [ + "ㄧㄤ2" + ], + "𤢴": [ + "ㄕㄨㄛ4", + "ㄌㄧ4" + ], + "𤢵": [ + "ㄌㄞ4", + "ㄞ4" + ], + "𤢶": [ + "ㄑㄩㄥ2" + ], + "𤢹": [ + "ㄌㄟ3" + ], + "𤢺": [ + "ㄒㄧㄝ2" + ], + "𤢼": [ + "ㄕ4" + ], + "𤣃": [ + "ㄌㄨ3" + ], + "𤣅": [ + "ㄑㄩㄝ4" + ], + "𤣆": [ + "ㄌㄧㄢ2" + ], + "𤣌": [ + "ㄒㄧㄠ4" + ], + "𤣎": [ + "ㄧㄥ1" + ], + "𤣑": [ + "ㄒㄧㄝ2" + ], + "𤣘": [ + "ㄌㄧㄥ2" + ], + "𤣙": [ + "ㄧㄡ1" + ], + "𤣞": [ + "ㄉㄤ3" + ], + "𤣟": [ + "ㄌㄢ3" + ], + "𤣠": [ + "ㄒㄧㄠ1" + ], + "𤣨": [ + "ㄧ4" + ], + "𤣬": [ + "ㄨ1" + ], + "𤣮": [ + "ㄧ4" + ], + "𤣯": [ + "ㄊㄨㄛ1" + ], + "𤣰": [ + "ㄅㄨ3" + ], + "𤣲": [ + "ㄒㄧㄣ4" + ], + "𤣵": [ + "ㄙ1" + ], + "𤣶": [ + "ㄐㄧㄣ1" + ], + "𤣸": [ + "ㄅㄚ1" + ], + "𤣹": [ + "ㄈㄚ3" + ], + "𤣻": [ + "ㄇㄛ4" + ], + "𤣼": [ + "ㄖㄨㄛ4" + ], + "𤤊": [ + "ㄉㄚ4" + ], + "𤤋": [ + "ㄐㄧ4" + ], + "𤤐": [ + "ㄙㄨ4" + ], + "𤤑": [ + "ㄑㄩㄥ2" + ], + "𤤒": [ + "ㄅㄚ1" + ], + "𤤦": [ + "ㄊㄧㄢ2" + ], + "𤤧": [ + "ㄧㄡ2" + ], + "𤤩": [ + "ㄊㄨㄛ2" + ], + "𤤫": [ + "ㄨㄞ4" + ], + "𤤬": [ + "ㄧㄡ4" + ], + "𤤮": [ + "ㄉㄨㄥ1" + ], + "𤤱": [ + "ㄒㄧ3" + ], + "𤤲": [ + "ㄎㄨㄥ3" + ], + "𤤶": [ + "ㄑㄩㄥ2" + ], + "𤤷": [ + "ㄉㄨㄟ1" + ], + "𤤸": [ + "ㄉㄨㄛ4" + ], + "𤤺": [ + "ㄧ4" + ], + "𤥒": [ + "ㄒㄧ1" + ], + "𤥓": [ + "ㄑㄧㄣ1" + ], + "𤥔": [ + "ㄙㄨ4" + ], + "𤥗": [ + "ㄌㄧㄡ2" + ], + "𤥙": [ + "ㄨㄢ2" + ], + "𤥭": [ + "ㄔㄜ1" + ], + "𤥮": [ + "ㄓㄨ1" + ], + "𤥰": [ + "ㄇㄠ4" + ], + "𤥷": [ + "ㄑㄩㄢ2" + ], + "𤥽": [ + "ㄩ1" + ], + "𤥿": [ + "ㄧ4" + ], + "𤦀": [ + "ㄇㄧ2" + ], + "𤦃": [ + "ㄌㄞ2" + ], + "𤦄": [ + "ㄓ4" + ], + "𤦤": [ + "ㄋㄧ2" + ], + "𤦦": [ + "ㄅㄢ1" + ], + "𤦪": [ + "ㄉㄨㄥ1" + ], + "𤦮": [ + "ㄓ4" + ], + "𤧕": [ + "ㄧ4" + ], + "𤧘": [ + "ㄌㄧㄥ2" + ], + "𤧙": [ + "ㄩ2" + ], + "𤧚": [ + "ㄘㄨㄥ1" + ], + "𤧛": [ + "ㄉㄧ4" + ], + "𤧜": [ + "ㄓ4" + ], + "𤧠": [ + "ㄖㄨㄢ3" + ], + "𤧣": [ + "ㄐㄧㄢ4" + ], + "𤧩": [ + "ㄨㄢ4" + ], + "𤧫": [ + "ㄐㄧㄣ1", + "ㄐㄧㄣ4", + "ㄉㄨㄟ1" + ], + "𤧭": [ + "ㄆㄤ2" + ], + "𤨍": [ + "ㄌㄨ4" + ], + "𤨎": [ + "ㄑㄩ2" + ], + "𤨐": [ + "ㄒㄧ3", + "ㄊㄠ1" + ], + "𤨑": [ + "ㄉㄚ2" + ], + "𤨖": [ + "ㄏㄨ4" + ], + "𤨗": [ + "ㄌㄨㄛ3" + ], + "𤨙": [ + "ㄌㄜ4" + ], + "𤨶": [ + "ㄍㄨㄥ3" + ], + "𤨻": [ + "ㄌㄧㄥ4" + ], + "𤩂": [ + "ㄌㄠ2" + ], + "𤩄": [ + "ㄓㄨㄢ4" + ], + "𤩨": [ + "ㄗㄠ3" + ], + "𤩩": [ + "ㄏㄠ4" + ], + "𤩪": [ + "ㄒㄧㄤ4" + ], + "𤩭": [ + "ㄏㄠ4" + ], + "𤩮": [ + "ㄌㄧ4" + ], + "𤩱": [ + "ㄉㄧㄢ4", + "ㄊㄧㄢ4" + ], + "𤩲": [ + "ㄍㄜ2" + ], + "𤩽": [ + "ㄏㄨㄢ2" + ], + "𤪄": [ + "ㄜ4" + ], + "𤪆": [ + "ㄒㄧㄚ2" + ], + "𤪋": [ + "ㄐㄧㄢ1" + ], + "𤪌": [ + "ㄑㄧ2" + ], + "𤪍": [ + "ㄒㄧㄚ2" + ], + "𤪎": [ + "ㄧㄡ3" + ], + "𤪡": [ + "ㄓㄥ1" + ], + "𤪪": [ + "ㄓㄨㄢ4", + "ㄔㄨㄣ1" + ], + "𤪮": [ + "ㄔㄢ4" + ], + "𤫉": [ + "ㄒㄧㄝ4" + ], + "𤫕": [ + "ㄋㄠ2" + ], + "𤫝": [ + "ㄐㄧ4" + ], + "𤫞": [ + "ㄊㄧㄢ2" + ], + "𤫣": [ + "ㄧㄢ3" + ], + "𤫧": [ + "ㄏㄠ3" + ], + "𤫨": [ + "ㄒㄧㄣ2" + ], + "𤫩": [ + "ㄌㄧㄥ2" + ], + "𤫫": [ + "ㄅㄢ1" + ], + "𤫬": [ + "ㄅㄥ3" + ], + "𤫱": [ + "ㄍㄡ1" + ], + "𤫲": [ + "ㄌㄧㄥ2" + ], + "𤫵": [ + "ㄎㄨㄛ4", + "ㄍㄨㄛ2" + ], + "𤫶": [ + "ㄑㄧㄚ4" + ], + "𤫷": [ + "ㄐㄧㄠ4" + ], + "𤫹": [ + "ㄣ1" + ], + "𤫺": [ + "ㄧㄠ2" + ], + "𤫻": [ + "ㄉㄨ1" + ], + "𤬁": [ + "ㄏㄨㄛ3", + "ㄍㄨㄛ3", + "ㄌㄨㄛ3" + ], + "𤬂": [ + "ㄉㄨ3" + ], + "𤬃": [ + "ㄆㄟ1" + ], + "𤬌": [ + "ㄩㄢ2" + ], + "𤬏": [ + "ㄌㄡ2" + ], + "𤬐": [ + "ㄒㄧㄥ2" + ], + "𤬓": [ + "ㄌㄧㄢ2", + "ㄌㄧㄢ3" + ], + "𤬔": [ + "ㄧㄠ2" + ], + "𤬕": [ + "ㄒㄧ1" + ], + "𤬖": [ + "ㄧㄠ2" + ], + "𤬘": [ + "ㄒㄧ1" + ], + "𤬛": [ + "ㄌㄨ2" + ], + "𤬝": [ + "ㄧㄢ4" + ], + "𤬠": [ + "ㄑㄩㄢ2" + ], + "𤬥": [ + "ㄖㄤ2" + ], + "𤬦": [ + "ㄨㄚ4" + ], + "𤬧": [ + "ㄗㄨ2" + ], + "𤬨": [ + "ㄈㄢ4" + ], + "𤬩": [ + "ㄧ4" + ], + "𤬪": [ + "ㄉㄨ4", + "ㄎㄢ1" + ], + "𤬫": [ + "ㄙㄨㄟ4" + ], + "𤬭": [ + "ㄆㄧ1" + ], + "𤬯": [ + "ㄏㄢ2", + "ㄑㄧㄢ4" + ], + "𤬱": [ + "ㄒㄩ4" + ], + "𤬳": [ + "ㄍㄨㄥ3" + ], + "𤬵": [ + "ㄉㄧ4" + ], + "𤬷": [ + "ㄋㄚ4" + ], + "𤬾": [ + "ㄉㄨㄛ4", + "ㄊㄨㄛ2" + ], + "𤬿": [ + "ㄨㄚ1" + ], + "𤭂": [ + "ㄋㄧㄝ4" + ], + "𤭈": [ + "ㄉㄧㄠ4" + ], + "𤭉": [ + "ㄏㄨㄤ1" + ], + "𤭌": [ + "ㄊㄧ2" + ], + "𤭍": [ + "ㄈㄢ4" + ], + "𤭑": [ + "ㄨ2" + ], + "𤭒": [ + "ㄤ2" + ], + "𤭔": [ + "ㄆㄧㄥ2" + ], + "𤭙": [ + "ㄏㄢ2", + "ㄍㄢ1" + ], + "𤭛": [ + "ㄍㄤ1" + ], + "𤭜": [ + "ㄌㄧ2" + ], + "𤭞": [ + "ㄉㄨㄣ1" + ], + "𤭟": [ + "ㄈㄨ4" + ], + "𤭠": [ + "ㄋㄚ4" + ], + "𤭢": [ + "ㄘㄟ4", + "ㄙㄨㄟ4" + ], + "𤭧": [ + "ㄐㄧㄝ1" + ], + "𤭩": [ + "ㄑㄧㄥ4" + ], + "𤭫": [ + "ㄧㄥ1" + ], + "𤭬": [ + "ㄒㄧㄤ2" + ], + "𤭱": [ + "ㄏㄨ2" + ], + "𤭴": [ + "ㄙㄨ4" + ], + "𤭻": [ + "ㄍㄜ1" + ], + "𤭼": [ + "ㄜ4" + ], + "𤭽": [ + "ㄒㄩ4" + ], + "𤮆": [ + "ㄒㄧ1" + ], + "𤮊": [ + "ㄎㄤ1" + ], + "𤮋": [ + "ㄍㄨㄛ2" + ], + "𤮌": [ + "ㄐㄧㄝ1" + ], + "𤮍": [ + "ㄔㄨㄢ2" + ], + "𤮎": [ + "ㄌㄟ2" + ], + "𤮏": [ + "ㄏㄥ2" + ], + "𤮐": [ + "ㄗㄨㄣ1" + ], + "𤮕": [ + "ㄆㄧㄝ4" + ], + "𤮘": [ + "ㄉㄥ1" + ], + "𤮙": [ + "ㄒㄧ1" + ], + "𤮚": [ + "ㄌㄟ2" + ], + "𤮜": [ + "ㄕㄢ4" + ], + "𤮧": [ + "ㄌㄨ2" + ], + "𤮩": [ + "ㄉㄨㄟ4" + ], + "𤮪": [ + "ㄐㄩㄣ4" + ], + "𤮭": [ + "ㄔㄢ4" + ], + "𤮯": [ + "ㄒㄧㄝ2" + ], + "𤮰": [ + "ㄨㄚ1" + ], + "𤮱": [ + "ㄓㄜ2" + ], + "𤮳": [ + "ㄓㄨㄢ1", + "ㄍㄨㄢ4" + ], + "𤮷": [ + "ㄌㄧㄡ4" + ], + "𤮸": [ + "ㄌㄟ2" + ], + "𤮼": [ + "ㄉㄞ4" + ], + "𤮽": [ + "ㄍㄢ1" + ], + "𤯄": [ + "ㄕ4" + ], + "𤯇": [ + "ㄧㄢ3" + ], + "𤯌": [ + "ㄍㄢ1" + ], + "𤯐": [ + "ㄧㄢ2" + ], + "𤯖": [ + "ㄙㄨㄟ1" + ], + "𤯚": [ + "ㄓㄨㄥ1" + ], + "𤯜": [ + "ㄕ4" + ], + "𤯡": [ + "ㄕㄥ4" + ], + "𤯥": [ + "ㄔㄢ3" + ], + "𤯷": [ + "ㄏㄨㄤ2" + ], + "𤯸": [ + "ㄧㄣ4" + ], + "𤯻": [ + "ㄇㄥ3" + ], + "𤰂": [ + "ㄖㄤ2" + ], + "𤰅": [ + "ㄒㄧㄤ2" + ], + "𤰈": [ + "ㄅㄟ4", + "ㄈㄨ2" + ], + "𤰌": [ + "ㄔㄨㄢ2" + ], + "𤰑": [ + "ㄆㄨ2" + ], + "𤰙": [ + "ㄎㄜ1", + "ㄍㄜ2" + ], + "𤰚": [ + "ㄌㄚ1", + "ㄌㄚ2" + ], + "𤰝": [ + "ㄑㄩㄢ3" + ], + "𤰟": [ + "ㄏㄤ4" + ], + "𤰠": [ + "ㄔ4" + ], + "𤰡": [ + "ㄇㄤ2" + ], + "𤰦": [ + "ㄓㄚ4" + ], + "𤰪": [ + "ㄈㄣ4" + ], + "𤰬": [ + "ㄔㄠ4" + ], + "𤰳": [ + "ㄐㄧㄥ3" + ], + "𤱃": [ + "ㄌㄧㄝ4" + ], + "𤱅": [ + "ㄋㄚ4" + ], + "𤱆": [ + "ㄋㄚ4" + ], + "𤱇": [ + "ㄊㄨㄥ2" + ], + "𤱋": [ + "ㄖㄢ2" + ], + "𤱌": [ + "ㄗㄨ3" + ], + "𤱍": [ + "ㄆㄧ1", + "ㄆㄛ3" + ], + "𤱎": [ + "ㄧㄡ3" + ], + "𤱐": [ + "ㄕㄨ1" + ], + "𤱛": [ + "ㄌㄧㄝ4" + ], + "𤱜": [ + "ㄕㄡ1" + ], + "𤱝": [ + "ㄊㄨㄢ3" + ], + "𤱟": [ + "ㄍㄠ3" + ], + "𤱠": [ + "ㄕㄠ2" + ], + "𤱡": [ + "ㄊㄨㄛ2" + ], + "𤱣": [ + "ㄋㄢ2" + ], + "𤱧": [ + "ㄊㄨㄛ3" + ], + "𤱨": [ + "ㄍㄨㄥ1" + ], + "𤱩": [ + "ㄉㄧㄠ4" + ], + "𤱴": [ + "ㄇㄥ3" + ], + "𤱵": [ + "ㄅㄤ1" + ], + "𤱷": [ + "ㄒㄧㄝ2" + ], + "𤱸": [ + "ㄙ4" + ], + "𤱹": [ + "ㄊㄧㄥ3" + ], + "𤱺": [ + "ㄍㄨㄟ4" + ], + "𤱽": [ + "ㄈㄨ2" + ], + "𤱾": [ + "ㄍㄨㄟ4" + ], + "𤲉": [ + "ㄍㄨㄟ4" + ], + "𤲑": [ + "ㄓㄨ3" + ], + "𤲓": [ + "ㄌㄞ2" + ], + "𤲕": [ + "ㄌㄨㄣ3" + ], + "𤲖": [ + "ㄊㄧㄢ3" + ], + "𤲗": [ + "ㄖㄢ3" + ], + "𤲚": [ + "ㄉㄨㄥ1" + ], + "𤲨": [ + "ㄐㄩㄢ4" + ], + "𤲩": [ + "ㄧㄢ2" + ], + "𤲬": [ + "ㄖㄨㄢ2" + ], + "𤲭": [ + "ㄉㄢ3" + ], + "𤲰": [ + "ㄇㄠ4" + ], + "𤲶": [ + "ㄌㄨㄢ2", + "ㄋㄧㄠ3" + ], + "𤲸": [ + "ㄒㄩ4", + "ㄗ1" + ], + "𤲺": [ + "ㄒㄧ1" + ], + "𤳂": [ + "ㄇㄚ2" + ], + "𤳃": [ + "ㄑㄧ1" + ], + "𤳅": [ + "ㄔㄚ4" + ], + "𤳈": [ + "ㄕㄤ1" + ], + "𤳉": [ + "ㄏㄢ4" + ], + "𤳊": [ + "ㄆㄧㄥ2" + ], + "𤳎": [ + "ㄐㄧ1" + ], + "𤳓": [ + "ㄌㄧ4" + ], + "𤳕": [ + "ㄩ4" + ], + "𤳖": [ + "ㄅㄢ1", + "ㄈㄢ1" + ], + "𤳘": [ + "ㄊㄥ1" + ], + "𤳝": [ + "ㄔㄡ2" + ], + "𤳠": [ + "ㄔㄡ2" + ], + "𤳤": [ + "ㄑㄧ1" + ], + "𤳥": [ + "ㄒㄧ1" + ], + "𤳦": [ + "ㄅㄟ4" + ], + "𤳪": [ + "ㄧㄝ4" + ], + "𤳭": [ + "ㄍㄨㄤ3" + ], + "𤳯": [ + "ㄓㄨ4" + ], + "𤳳": [ + "ㄌㄟ2", + "ㄏㄨㄟ3" + ], + "𤳴": [ + "ㄌㄟ2" + ], + "𤳵": [ + "ㄔㄚ1" + ], + "𤴀": [ + "ㄍㄨㄤ3", + "ㄑㄧㄠ1" + ], + "𤴍": [ + "ㄉㄧㄝ2" + ], + "𤴓": [ + "ㄧㄚ3" + ], + "𤴘": [ + "ㄋㄧㄝ4" + ], + "𤴙": [ + "ㄕㄨ1", + "ㄒㄩ1" + ], + "𤴛": [ + "ㄓ4" + ], + "𤴟": [ + "ㄓ4" + ], + "𤴢": [ + "ㄓ4" + ], + "𤴣": [ + "ㄆㄧ3" + ], + "𤴥": [ + "ㄐㄧㄡ1" + ], + "𤴦": [ + "ㄐㄧㄡ1" + ], + "𤴧": [ + "ㄧ4" + ], + "𤴨": [ + "ㄧㄡ4", + "ㄧㄡ3" + ], + "𤴪": [ + "ㄐㄧㄡ1" + ], + "𤴯": [ + "ㄏㄨㄢ4" + ], + "𤴱": [ + "ㄉㄨ4" + ], + "𤴻": [ + "ㄊㄠ2" + ], + "𤴼": [ + "ㄑㄧㄝ4", + "ㄘ2" + ], + "𤴽": [ + "ㄑㄧㄣ2" + ], + "𤴾": [ + "ㄒㄧㄣ4" + ], + "𤴿": [ + "ㄔㄢ1" + ], + "𤵀": [ + "ㄐㄧ4" + ], + "𤵂": [ + "ㄑㄧㄣ4" + ], + "𤵊": [ + "ㄉㄨ4" + ], + "𤵋": [ + "ㄓ1" + ], + "𤵎": [ + "ㄡ3" + ], + "𤵐": [ + "ㄨ4" + ], + "𤵒": [ + "ㄨㄣ2" + ], + "𤵘": [ + "ㄅㄧ4" + ], + "𤵛": [ + "ㄅㄟ1" + ], + "𤵝": [ + "ㄇㄨ3" + ], + "𤵞": [ + "ㄐㄧㄣ4" + ], + "𤵟": [ + "ㄊㄠ2" + ], + "𤵠": [ + "ㄌㄧㄠ2" + ], + "𤵥": [ + "ㄘㄠ2", + "ㄓㄡ3" + ], + "𤵦": [ + "ㄓㄚ2" + ], + "𤵬": [ + "ㄔ3" + ], + "𤵭": [ + "ㄧㄚ1" + ], + "𤵮": [ + "ㄎㄨㄟ2" + ], + "𤵯": [ + "ㄧㄣ4" + ], + "𤵸": [ + "ㄌㄨㄥ2", + "ㄆㄤ1" + ], + "𤵹": [ + "ㄑㄧㄚ4" + ], + "𤵻": [ + "ㄏㄤ1" + ], + "𤵼": [ + "ㄕㄤ4", + "ㄕㄤ1" + ], + "𤵽": [ + "ㄏㄞ4" + ], + "𤵾": [ + "ㄔㄚ1" + ], + "𤶀": [ + "ㄐㄧㄠ3" + ], + "𤶁": [ + "ㄌㄠ3" + ], + "𤶈": [ + "ㄒㄧ1" + ], + "𤶋": [ + "ㄅㄛ2" + ], + "𤶓": [ + "ㄓ3" + ], + "𤶕": [ + "ㄊㄨㄣ4" + ], + "𤶖": [ + "ㄈㄨ2" + ], + "𤶘": [ + "ㄏㄨ1" + ], + "𤶚": [ + "ㄋㄧㄝ4" + ], + "𤶛": [ + "ㄧ4" + ], + "𤶜": [ + "ㄓㄨㄤ4" + ], + "𤶠": [ + "ㄔㄚ2" + ], + "𤶤": [ + "ㄙㄨㄢ1" + ], + "𤶧": [ + "ㄩㄣ4" + ], + "𤶮": [ + "ㄉㄨ4" + ], + "𤶰": [ + "ㄒㄧ1" + ], + "𤶱": [ + "ㄔㄨㄢ4" + ], + "𤶲": [ + "ㄒㄧㄥ2" + ], + "𤶳": [ + "ㄐㄧㄠ3" + ], + "𤶴": [ + "ㄕㄣ1" + ], + "𤷀": [ + "ㄨㄤ1" + ], + "𤷁": [ + "ㄅㄟ1" + ], + "𤷂": [ + "ㄈㄟ2" + ], + "𤷃": [ + "ㄐㄧㄢ4" + ], + "𤷄": [ + "ㄑㄩㄢ2" + ], + "𤷅": [ + "ㄧ4", + "ㄧㄚ2" + ], + "𤷆": [ + "ㄉㄨㄥ1" + ], + "𤷇": [ + "ㄒㄩ4" + ], + "𤷈": [ + "ㄋㄚ4", + "ㄋㄧㄝ4" + ], + "𤷉": [ + "ㄐㄧ2" + ], + "𤷌": [ + "ㄓㄣ3" + ], + "𤷍": [ + "ㄑㄧ2" + ], + "𤷎": [ + "ㄉㄨㄟ1" + ], + "𤷏": [ + "ㄧㄣ2" + ], + "𤷑": [ + "ㄐㄧㄡ4" + ], + "𤷒": [ + "ㄆㄧ2", + "ㄅㄧ4", + "ㄅㄟ1" + ], + "𤷓": [ + "ㄒㄧㄣ4" + ], + "𤷔": [ + "ㄌㄨㄣ2" + ], + "𤷕": [ + "ㄘㄞ3" + ], + "𤷖": [ + "ㄌㄧㄥ4" + ], + "𤷗": [ + "ㄅㄧㄝ1" + ], + "𤷘": [ + "ㄉㄠ4" + ], + "𤷙": [ + "ㄉㄜ2" + ], + "𤷟": [ + "ㄌㄚ5" + ], + "𤷡": [ + "ㄒㄧ1", + "ㄋㄩㄝ4" + ], + "𤷢": [ + "ㄐㄩ4" + ], + "𤷤": [ + "ㄒㄧㄠ2" + ], + "𤷦": [ + "ㄐㄧㄥ1" + ], + "𤷹": [ + "ㄨㄞ4" + ], + "𤷻": [ + "ㄋㄠ3" + ], + "𤷼": [ + "ㄒㄧㄤ1" + ], + "𤷽": [ + "ㄑㄩㄝ4" + ], + "𤷾": [ + "ㄑㄧㄝ4" + ], + "𤷿": [ + "ㄊㄨ1" + ], + "𤸀": [ + "ㄒㄩ3" + ], + "𤸁": [ + "ㄏㄨㄟ4" + ], + "𤸅": [ + "ㄇㄧㄣ2" + ], + "𤸆": [ + "ㄨㄟ3" + ], + "𤸈": [ + "ㄧㄡ2" + ], + "𤸉": [ + "ㄊㄨㄟ2" + ], + "𤸊": [ + "ㄉㄞ4" + ], + "𤸎": [ + "ㄎㄜ3", + "ㄏㄞ4" + ], + "𤸏": [ + "ㄋㄚ4", + "ㄋㄧㄝ4" + ], + "𤸑": [ + "ㄈㄨ4" + ], + "𤸒": [ + "ㄩ4" + ], + "𤸓": [ + "ㄓ3" + ], + "𤸕": [ + "ㄏㄢ1" + ], + "𤸖": [ + "ㄞ1" + ], + "𤸗": [ + "ㄈㄨ4" + ], + "𤸡": [ + "ㄧㄤ1" + ], + "𤸤": [ + "ㄕ2" + ], + "𤸦": [ + "ㄔㄢ2" + ], + "𤸪": [ + "ㄔ4" + ], + "𤸫": [ + "ㄩㄣ4" + ], + "𤸬": [ + "ㄕㄨㄞ1" + ], + "𤸮": [ + "ㄙㄨ4" + ], + "𤸯": [ + "ㄙㄤ3" + ], + "𤸱": [ + "ㄜ4", + "ㄎㄜ4", + "ㄎㄞ4", + "ㄧㄚ4" + ], + "𤸲": [ + "ㄓㄥ3" + ], + "𤸳": [ + "ㄞ2" + ], + "𤸴": [ + "ㄙㄨㄛ3" + ], + "𤸵": [ + "ㄅㄨ4" + ], + "𤸷": [ + "ㄑㄩㄣ2" + ], + "𤸸": [ + "ㄧ4" + ], + "𤸹": [ + "ㄧㄢ3" + ], + "𤸻": [ + "ㄋㄚ4" + ], + "𤸼": [ + "ㄨ3" + ], + "𤹇": [ + "ㄌㄧ4" + ], + "𤹈": [ + "ㄌㄧ4" + ], + "𤹊": [ + "ㄒㄧ1" + ], + "𤹋": [ + "ㄐㄩㄝ2" + ], + "𤹌": [ + "ㄕ1" + ], + "𤹎": [ + "ㄧㄚ3" + ], + "𤹛": [ + "ㄔㄣ2" + ], + "𤹜": [ + "ㄧㄥ2" + ], + "𤹝": [ + "ㄅㄧ4" + ], + "𤹞": [ + "ㄔㄜ4" + ], + "𤹡": [ + "ㄓㄚ1" + ], + "𤹢": [ + "ㄊㄨㄛ3" + ], + "𤹣": [ + "ㄏㄨ4" + ], + "𤹤": [ + "ㄊㄥ2" + ], + "𤹥": [ + "ㄧㄥ4" + ], + "𤹦": [ + "ㄅㄧ3" + ], + "𤹧": [ + "ㄋㄧㄥ2" + ], + "𤹨": [ + "ㄌㄧㄢ4" + ], + "𤹩": [ + "ㄒㄧㄣ4" + ], + "𤹪": [ + "ㄩ3" + ], + "𤹲": [ + "ㄅㄟ4" + ], + "𤹴": [ + "ㄇㄛ2" + ], + "𤹵": [ + "ㄉㄨㄟ1" + ], + "𤹷": [ + "ㄉㄠ3" + ], + "𤹸": [ + "ㄑㄧ2" + ], + "𤺀": [ + "ㄕㄨㄞ1" + ], + "𤺃": [ + "ㄒㄧㄠ1", + "ㄐㄧㄠ1", + "ㄧㄠ1" + ], + "𤺄": [ + "ㄓㄨㄥ3", + "ㄊㄨㄥ2" + ], + "𤺅": [ + "ㄓㄨㄟ4" + ], + "𤺇": [ + "ㄅㄧㄢ4" + ], + "𤺉": [ + "ㄨㄟ3" + ], + "𤺊": [ + "ㄒㄧ1", + "ㄙ1" + ], + "𤺌": [ + "ㄉㄥ1" + ], + "𤺎": [ + "ㄒㄧㄝ1" + ], + "𤺏": [ + "ㄆㄢ1" + ], + "𤺐": [ + "ㄋㄧㄝ4" + ], + "𤺓": [ + "ㄅㄧㄝ2" + ], + "𤺔": [ + "ㄕㄜ4" + ], + "𤺕": [ + "ㄈㄟ4" + ], + "𤺖": [ + "ㄇㄧㄣ3" + ], + "𤺗": [ + "ㄑㄧ4", + "ㄐㄧ4" + ], + "𤺪": [ + "ㄕㄢ4" + ], + "𤺫": [ + "ㄙㄨㄛ3" + ], + "𤺷": [ + "ㄐㄧ2" + ], + "𤺺": [ + "ㄉㄢ3", + "ㄉㄢ4", + "ㄊㄢ2" + ], + "𤺻": [ + "ㄐㄩㄢ4" + ], + "𤺼": [ + "ㄌㄨ4" + ], + "𤺾": [ + "ㄠ4" + ], + "𤻂": [ + "ㄧ4" + ], + "𤻃": [ + "ㄕㄨ3" + ], + "𤻄": [ + "ㄙㄨㄟ4" + ], + "𤻅": [ + "ㄨㄟ4" + ], + "𤻆": [ + "ㄨㄢ2" + ], + "𤻇": [ + "ㄔㄨ3" + ], + "𤻌": [ + "ㄨㄛ4" + ], + "𤻖": [ + "ㄅㄧ4" + ], + "𤻘": [ + "ㄧㄣ3" + ], + "𤻙": [ + "ㄏㄨㄛ2" + ], + "𤻜": [ + "ㄎㄞ4", + "ㄜ4" + ], + "𤻝": [ + "ㄋㄧㄥ2" + ], + "𤻢": [ + "ㄞ4" + ], + "𤻤": [ + "ㄌㄧ4" + ], + "𤻦": [ + "ㄓㄞ1" + ], + "𤻱": [ + "ㄌㄨ4" + ], + "𤻶": [ + "ㄅㄧㄢ4" + ], + "𤻷": [ + "ㄆㄢ2" + ], + "𤻿": [ + "ㄍㄨㄟ4" + ], + "𤼀": [ + "ㄙㄨ1" + ], + "𤼁": [ + "ㄇㄥ2" + ], + "𤼂": [ + "ㄒㄧㄢ3" + ], + "𤼃": [ + "ㄌㄨㄥ4", + "ㄌㄨㄥ2" + ], + "𤼅": [ + "ㄑㄧ4" + ], + "𤼋": [ + "ㄔㄢ4" + ], + "𤼌": [ + "ㄧ4" + ], + "𤼍": [ + "ㄏㄤ2" + ], + "𤼏": [ + "ㄌㄧㄢ3" + ], + "𤼐": [ + "ㄍㄨㄢ4", + "ㄏㄨㄢ4" + ], + "𤼒": [ + "ㄨㄟ3", + "ㄏㄨㄚ4" + ], + "𤼗": [ + "ㄐㄩㄝ2" + ], + "𤼘": [ + "ㄌㄟ2" + ], + "𤼙": [ + "ㄌㄨㄢ2" + ], + "𤼚": [ + "ㄌㄧ4" + ], + "𤼜": [ + "ㄆㄧ2" + ], + "𤼢": [ + "ㄏㄨㄢ3" + ], + "𤼮": [ + "ㄍㄨㄟ1" + ], + "𤼳": [ + "ㄐㄩ2" + ], + "𤼶": [ + "ㄉㄥ1" + ], + "𤼺": [ + "ㄈㄟ4" + ], + "𤽁": [ + "ㄓ1" + ], + "𤽃": [ + "ㄇㄟ4" + ], + "𤽅": [ + "ㄏㄨㄢ4" + ], + "𤽉": [ + "ㄆㄚ1" + ], + "𤽊": [ + "ㄅㄧ3" + ], + "𤽌": [ + "ㄆㄛ1" + ], + "𤽓": [ + "ㄦ2" + ], + "𤽕": [ + "ㄏㄨㄢ4" + ], + "𤽣": [ + "ㄔㄤ4" + ], + "𤽥": [ + "ㄌㄨㄛ4" + ], + "𤽦": [ + "ㄈㄡ3" + ], + "𤽯": [ + "ㄔㄡ2" + ], + "𤽱": [ + "ㄗㄨ2" + ], + "𤽲": [ + "ㄋㄢ2" + ], + "𤽳": [ + "ㄒㄧㄠ3" + ], + "𤽹": [ + "ㄅㄞ4" + ], + "𤽺": [ + "ㄌㄨ4" + ], + "𤽼": [ + "ㄌㄨㄛ4" + ], + "𤽿": [ + "ㄋㄧㄢ4" + ], + "𤾀": [ + "ㄗㄜ2" + ], + "𤾄": [ + "ㄓㄨ4" + ], + "𤾅": [ + "ㄏㄨ2" + ], + "𤾈": [ + "ㄏㄨㄟ1" + ], + "𤾉": [ + "ㄊㄤ3" + ], + "𤾊": [ + "ㄔㄡ2" + ], + "𤾑": [ + "ㄏㄨㄤ2" + ], + "𤾒": [ + "ㄉㄡ1" + ], + "𤾛": [ + "ㄇㄧㄠ4" + ], + "𤾝": [ + "ㄅㄛ2" + ], + "𤾠": [ + "ㄉㄧ4" + ], + "𤾢": [ + "ㄉㄥ3" + ], + "𤾣": [ + "ㄆㄨ1" + ], + "𤾥": [ + "ㄙㄨㄥ1" + ], + "𤾦": [ + "ㄔㄡ2" + ], + "𤾫": [ + "ㄧㄠ4" + ], + "𤾬": [ + "ㄇㄥ3" + ], + "𤾭": [ + "ㄌㄨㄥ2" + ], + "𤾲": [ + "ㄌㄧㄢ2" + ], + "𤾵": [ + "ㄅㄧㄝ2" + ], + "𤾺": [ + "ㄌㄩ3" + ], + "𤾿": [ + "ㄙㄜ4" + ], + "𤿀": [ + "ㄗㄨㄛ2" + ], + "𤿄": [ + "ㄘㄨㄣ2" + ], + "𤿅": [ + "ㄌㄧㄥ2" + ], + "𤿆": [ + "ㄓㄥ3" + ], + "𤿇": [ + "ㄆㄧ3" + ], + "𤿈": [ + "ㄅㄠ2" + ], + "𤿋": [ + "ㄑㄩㄝ4" + ], + "𤿎": [ + "ㄆㄧ1" + ], + "𤿏": [ + "ㄋㄢ4" + ], + "𤿐": [ + "ㄆㄧ1" + ], + "𤿑": [ + "ㄅㄛ3" + ], + "𤿒": [ + "ㄅㄟ4" + ], + "𤿓": [ + "ㄈㄚ1" + ], + "𤿕": [ + "ㄇㄧㄣ3" + ], + "𤿖": [ + "ㄇㄛ4" + ], + "𤿗": [ + "ㄨㄚ4" + ], + "𤿘": [ + "ㄓㄠ1" + ], + "𤿙": [ + "ㄓ4", + "ㄆㄧ2" + ], + "𤿚": [ + "ㄘㄨ1" + ], + "𤿟": [ + "ㄒㄩㄣ2" + ], + "𤿠": [ + "ㄐㄧ2" + ], + "𤿡": [ + "ㄍㄨㄟ4", + "ㄑㄧ2" + ], + "𤿣": [ + "ㄔㄥ2" + ], + "𤿧": [ + "ㄏㄢ4" + ], + "𤿨": [ + "ㄒㄧㄠ4" + ], + "𤿩": [ + "ㄑㄩㄝ4" + ], + "𤿫": [ + "ㄔㄨㄛ4" + ], + "𤿭": [ + "ㄈㄨ3" + ], + "𤿳": [ + "ㄑㄧㄣ3" + ], + "𤿴": [ + "ㄌㄨ4" + ], + "𤿵": [ + "ㄑㄩㄝ4" + ], + "𤿶": [ + "ㄉㄧㄢ3" + ], + "𤿷": [ + "ㄑㄧㄢ1" + ], + "𤿼": [ + "ㄔㄤ3" + ], + "𤿽": [ + "ㄊㄚ4" + ], + "𤿾": [ + "ㄅㄟ1" + ], + "𥀁": [ + "ㄉㄨ4" + ], + "𥀂": [ + "ㄅㄥ3", + "ㄅㄤ1" + ], + "𥀃": [ + "ㄏㄡ4" + ], + "𥀈": [ + "ㄓㄚ3" + ], + "𥀉": [ + "ㄓㄚ3" + ], + "𥀎": [ + "ㄑㄩㄝ4" + ], + "𥀏": [ + "ㄇㄚ2" + ], + "𥀐": [ + "ㄏㄢ2" + ], + "𥀓": [ + "ㄌㄧㄡ2" + ], + "𥀔": [ + "ㄌㄨ4" + ], + "𥀖": [ + "ㄗ1" + ], + "𥀘": [ + "ㄆㄧ3" + ], + "𥀙": [ + "ㄓㄡ4" + ], + "𥀛": [ + "ㄗㄠ1" + ], + "𥀝": [ + "ㄋㄧㄡ3" + ], + "𥀠": [ + "ㄏㄨㄟ4" + ], + "𥀣": [ + "ㄒㄩㄝ2", + "ㄑㄧㄠ4" + ], + "𥀥": [ + "ㄌㄚ4" + ], + "𥀫": [ + "ㄋㄡ2", + "ㄖㄢ3" + ], + "𥀬": [ + "ㄧㄢ3", + "ㄧㄝ4" + ], + "𥀭": [ + "ㄖㄢ3" + ], + "𥀮": [ + "ㄋㄠ3" + ], + "𥀰": [ + "ㄌㄚ4" + ], + "𥀱": [ + "ㄍㄨㄤ3" + ], + "𥀲": [ + "ㄉㄨ2" + ], + "𥀵": [ + "ㄌㄨ2" + ], + "𥀹": [ + "ㄐㄧㄢ3" + ], + "𥀺": [ + "ㄒㄧㄝ4" + ], + "𥀻": [ + "ㄑㄧ4" + ], + "𥀾": [ + "ㄒㄧㄤ4" + ], + "𥁁": [ + "ㄍㄨㄛ3" + ], + "𥁂": [ + "ㄐㄧㄝ2" + ], + "𥁃": [ + "ㄇㄤ4" + ], + "𥁆": [ + "ㄒㄧㄚ1" + ], + "𥁇": [ + "ㄎㄨㄟ1" + ], + "𥁎": [ + "ㄩㄥ4" + ], + "𥁐": [ + "ㄏㄞ3" + ], + "𥁑": [ + "ㄇㄧ4" + ], + "𥁒": [ + "ㄧㄠ4" + ], + "𥁕": [ + "ㄨㄣ1" + ], + "𥁟": [ + "ㄌㄧ4" + ], + "𥁠": [ + "ㄐㄩㄢ4", + "ㄑㄩㄢ2", + "ㄑㄩㄢ1" + ], + "𥁡": [ + "ㄨ1" + ], + "𥁢": [ + "ㄑㄧㄠ2" + ], + "𥁮": [ + "ㄉㄧㄠ4" + ], + "𥁯": [ + "ㄔㄨ4", + "ㄔㄨㄛ4" + ], + "𥁲": [ + "ㄙㄨㄛ1" + ], + "𥁵": [ + "ㄔㄨㄥ1" + ], + "𥁸": [ + "ㄑㄩㄢ1" + ], + "𥁹": [ + "ㄕㄜ4" + ], + "𥂁": [ + "ㄧㄢ2" + ], + "𥂂": [ + "ㄇㄥ3" + ], + "𥂃": [ + "ㄐㄩ4" + ], + "𥂋": [ + "ㄊㄨ2" + ], + "𥂒": [ + "ㄋㄨㄥ2" + ], + "𥂓": [ + "ㄇㄛ2" + ], + "𥂙": [ + "ㄈㄣ4" + ], + "𥂢": [ + "ㄠ2" + ], + "𥂣": [ + "ㄍㄨㄛ1" + ], + "𥂤": [ + "ㄏㄨ2" + ], + "𥂥": [ + "ㄘㄢ2" + ], + "𥂦": [ + "ㄉㄨㄣ1" + ], + "𥂧": [ + "ㄏㄞ3" + ], + "𥂨": [ + "ㄐㄧㄠ3" + ], + "𥂰": [ + "ㄍㄨ1" + ], + "𥂵": [ + "ㄐㄧㄣ1" + ], + "𥂸": [ + "ㄧㄤ2" + ], + "𥃀": [ + "ㄔㄚ4" + ], + "𥃌": [ + "ㄏㄨㄟ1" + ], + "𥃔": [ + "ㄑㄩ2" + ], + "𥃕": [ + "ㄎㄜ1" + ], + "𥃟": [ + "ㄑㄧㄥ1" + ], + "𥃠": [ + "ㄧ4" + ], + "𥃣": [ + "ㄎㄞ3" + ], + "𥃤": [ + "ㄐㄧㄠ3" + ], + "𥃧": [ + "ㄔㄡ1", + "ㄐㄧㄠ3", + "ㄧㄠ3" + ], + "𥃨": [ + "ㄅㄨ3" + ], + "𥃩": [ + "ㄍㄣ4", + "ㄧㄢ3" + ], + "𥃪": [ + "ㄐㄧㄠ1" + ], + "𥃫": [ + "ㄓ1" + ], + "𥃮": [ + "ㄨㄣ4" + ], + "𥃰": [ + "ㄅㄧㄣ1" + ], + "𥃴": [ + "ㄒㄩㄥ4" + ], + "𥃵": [ + "ㄈㄢ4" + ], + "𥃸": [ + "ㄧ2" + ], + "𥃹": [ + "ㄔㄨㄢ4" + ], + "𥃺": [ + "ㄧㄠ4" + ], + "𥃽": [ + "ㄧㄤ1" + ], + "𥃾": [ + "ㄉㄨ4" + ], + "𥃿": [ + "ㄧㄢ3" + ], + "𥄁": [ + "ㄇㄥ2" + ], + "𥄇": [ + "ㄔ1", + "ㄏㄨㄣ1" + ], + "𥄈": [ + "ㄇㄨ4" + ], + "𥄉": [ + "ㄐㄧㄠ1" + ], + "𥄋": [ + "ㄋㄩ4" + ], + "𥄍": [ + "ㄍㄨㄛ2" + ], + "𥄎": [ + "ㄒㄩㄝ4" + ], + "𥄑": [ + "ㄈㄨ2" + ], + "𥄒": [ + "ㄒㄩㄝ1" + ], + "𥄓": [ + "ㄈㄨ1" + ], + "𥄔": [ + "ㄆㄟ4", + "ㄆㄛ4" + ], + "𥄕": [ + "ㄇㄛ4" + ], + "𥄖": [ + "ㄒㄧ1" + ], + "𥄗": [ + "ㄨㄛ4", + "ㄋㄞ4" + ], + "𥄘": [ + "ㄕㄢ3" + ], + "𥄛": [ + "ㄒㄧ1" + ], + "𥄜": [ + "ㄑㄧ4" + ], + "𥄝": [ + "ㄇㄧㄢ4" + ], + "𥄦": [ + "ㄉㄢ3" + ], + "𥄨": [ + "ㄔㄡ3" + ], + "𥄱": [ + "ㄈㄟ4" + ], + "𥄲": [ + "ㄇㄧㄝ2" + ], + "𥄴": [ + "ㄒㄩㄝ4", + "ㄐㄩㄝ2" + ], + "𥄵": [ + "ㄒㄩ4", + "ㄩ4" + ], + "𥄶": [ + "ㄙ1" + ], + "𥄷": [ + "ㄐㄩ3" + ], + "𥄸": [ + "ㄇㄠ3" + ], + "𥄹": [ + "ㄅㄠ4" + ], + "𥄻": [ + "ㄧ2" + ], + "𥄼": [ + "ㄍㄨㄚ1" + ], + "𥄽": [ + "ㄋㄧ4" + ], + "𥄿": [ + "ㄧ2", + "ㄉㄧ4" + ], + "𥅁": [ + "ㄗㄨㄛ4" + ], + "𥅄": [ + "ㄋㄨ3" + ], + "𥅑": [ + "ㄉㄧㄢ4" + ], + "𥅒": [ + "ㄈㄢ4" + ], + "𥅓": [ + "ㄧ4" + ], + "𥅔": [ + "ㄕ4" + ], + "𥅗": [ + "ㄘㄨ1" + ], + "𥅘": [ + "ㄓㄣ3", + "ㄇㄧ2" + ], + "𥅞": [ + "ㄕ4" + ], + "𥅟": [ + "ㄐㄧㄠ3" + ], + "𥅠": [ + "ㄏㄡ4" + ], + "𥅡": [ + "ㄦ2" + ], + "𥅦": [ + "ㄌㄟ4" + ], + "𥅧": [ + "ㄒㄩㄝ4" + ], + "𥅨": [ + "ㄍㄥ4" + ], + "𥅪": [ + "ㄕㄡ1" + ], + "𥅬": [ + "ㄐㄩㄢ1" + ], + "𥅴": [ + "ㄐㄧㄝ2" + ], + "𥅵": [ + "ㄨㄟ2" + ], + "𥅷": [ + "ㄕㄡ3" + ], + "𥅸": [ + "ㄐㄧㄥ4" + ], + "𥅺": [ + "ㄒㄩ2" + ], + "𥅻": [ + "ㄔㄨㄥ4" + ], + "𥆅": [ + "ㄐㄧㄤ1" + ], + "𥆆": [ + "ㄇㄡ4" + ], + "𥆉": [ + "ㄩ4" + ], + "𥆌": [ + "ㄐㄩㄝ2" + ], + "𥆑": [ + "ㄊㄧㄥ4" + ], + "𥆔": [ + "ㄒㄧㄠ1" + ], + "𥆖": [ + "ㄉㄡ1" + ], + "𥆘": [ + "ㄍㄨㄛ2" + ], + "𥆙": [ + "ㄇㄤ2" + ], + "𥆚": [ + "ㄨㄤ1" + ], + "𥆛": [ + "ㄒㄩ4" + ], + "𥆜": [ + "ㄨㄤ4" + ], + "𥆝": [ + "ㄙㄨㄛ1" + ], + "𥆞": [ + "ㄐㄩㄢ4" + ], + "𥆟": [ + "ㄩㄝ4" + ], + "𥆡": [ + "ㄏㄢ2" + ], + "𥆣": [ + "ㄕㄣ1" + ], + "𥆥": [ + "ㄒㄧㄝ2" + ], + "𥆦": [ + "ㄌㄧㄡ2" + ], + "𥆧": [ + "ㄖㄨㄣ2" + ], + "𥆯": [ + "ㄅㄧ4" + ], + "𥆲": [ + "ㄋㄠ4" + ], + "𥆶": [ + "ㄨㄢ4" + ], + "𥆷": [ + "ㄐㄧㄡ4" + ], + "𥆸": [ + "ㄑㄩㄝ1" + ], + "𥇄": [ + "ㄋㄧ4" + ], + "𥇆": [ + "ㄇㄧ2" + ], + "𥇇": [ + "ㄙㄨㄛ1" + ], + "𥇉": [ + "ㄑㄧㄤ3" + ], + "𥇌": [ + "ㄏㄢ4", + "ㄑㄧㄚ4" + ], + "𥇍": [ + "ㄓㄨㄛ2" + ], + "𥇎": [ + "ㄇㄧ2" + ], + "𥇏": [ + "ㄒㄩ4" + ], + "𥇑": [ + "ㄌㄤ3" + ], + "𥇒": [ + "ㄐㄧㄝ2" + ], + "𥇓": [ + "ㄉㄧㄥ4" + ], + "𥇔": [ + "ㄔㄤ4", + "ㄓㄤ1" + ], + "𥇕": [ + "ㄓ4" + ], + "𥇖": [ + "ㄈㄟ1" + ], + "𥇗": [ + "ㄐㄧㄚ2" + ], + "𥇘": [ + "ㄐㄩㄣ4" + ], + "𥇙": [ + "ㄏㄨㄛ4" + ], + "𥇚": [ + "ㄑㄧ1" + ], + "𥇛": [ + "ㄐㄩ1", + "ㄐㄩ4", + "ㄒㄧ4" + ], + "𥇜": [ + "ㄓㄨㄣ1", + "ㄍㄨㄛ1" + ], + "𥇞": [ + "ㄉㄧㄢ4" + ], + "𥇟": [ + "ㄐㄧㄠ3" + ], + "𥇠": [ + "ㄧㄚ1" + ], + "𥇢": [ + "ㄓㄢ3" + ], + "𥇭": [ + "ㄓ1" + ], + "𥇯": [ + "ㄇㄞ4" + ], + "𥇰": [ + "ㄏㄨ1" + ], + "𥇱": [ + "ㄒㄧㄝ4" + ], + "𥇲": [ + "ㄕ2" + ], + "𥇳": [ + "ㄍㄨㄟ1" + ], + "𥇿": [ + "ㄒㄩ4" + ], + "𥈂": [ + "ㄐㄧ2" + ], + "𥈄": [ + "ㄔㄨㄤ4" + ], + "𥈆": [ + "ㄇㄠ4" + ], + "𥈇": [ + "ㄖㄨㄢ2" + ], + "𥈈": [ + "ㄒㄩ1" + ], + "𥈉": [ + "ㄏㄨㄢ4" + ], + "𥈊": [ + "ㄕㄚ4" + ], + "𥈋": [ + "ㄐㄩ3" + ], + "𥈏": [ + "ㄎㄨㄤ4" + ], + "𥈑": [ + "ㄏㄡ2" + ], + "𥈒": [ + "ㄍㄨㄢ1" + ], + "𥈓": [ + "ㄍㄨㄚ1" + ], + "𥈕": [ + "ㄇㄧ2" + ], + "𥈖": [ + "ㄉㄧㄝ2" + ], + "𥈗": [ + "ㄅㄧ4" + ], + "𥈘": [ + "ㄌㄧㄤ3" + ], + "𥈙": [ + "ㄌㄚ4" + ], + "𥈚": [ + "ㄕㄢ3" + ], + "𥈛": [ + "ㄌㄨ4" + ], + "𥈜": [ + "ㄒㄧ4" + ], + "𥈟": [ + "ㄙㄡ3" + ], + "𥈬": [ + "ㄡ1" + ], + "𥈮": [ + "ㄌㄥ2" + ], + "𥈷": [ + "ㄎㄨ1" + ], + "𥈸": [ + "ㄍㄨㄟ1" + ], + "𥈻": [ + "ㄒㄧ1" + ], + "𥈼": [ + "ㄆㄢ2", + "ㄆㄢ1" + ], + "𥈽": [ + "ㄙㄜ4" + ], + "𥈾": [ + "ㄐㄩㄝ4" + ], + "𥈿": [ + "ㄏㄨㄥ4" + ], + "𥉀": [ + "ㄍㄨㄢ4" + ], + "𥉁": [ + "ㄐㄩ4" + ], + "𥉃": [ + "ㄋㄞ4" + ], + "𥉄": [ + "ㄏㄨㄚ2" + ], + "𥉅": [ + "ㄍㄜ2" + ], + "𥉆": [ + "ㄌㄧ4" + ], + "𥉇": [ + "ㄍㄡ4" + ], + "𥉈": [ + "ㄊㄧ4" + ], + "𥉊": [ + "ㄇㄚ4" + ], + "𥉋": [ + "ㄊㄥ2" + ], + "𥉌": [ + "ㄉㄚ2" + ], + "𥉐": [ + "ㄑㄧ1" + ], + "𥉑": [ + "ㄩ4", + "ㄏㄜ4" + ], + "𥉒": [ + "ㄐㄧㄠ3" + ], + "𥉓": [ + "ㄇㄧㄝ4" + ], + "𥉔": [ + "ㄍㄥ3" + ], + "𥉕": [ + "ㄇㄥ4", + "ㄇㄥ2" + ], + "𥉖": [ + "ㄨㄟ4" + ], + "𥉘": [ + "ㄊㄧ2" + ], + "𥉙": [ + "ㄑㄧ2" + ], + "𥉜": [ + "ㄔㄣ2" + ], + "𥉝": [ + "ㄉㄡ1" + ], + "𥉟": [ + "ㄆㄢ2" + ], + "𥉰": [ + "ㄏㄢ4", + "ㄑㄧㄚ4" + ], + "𥉴": [ + "ㄇㄧ4" + ], + "𥉵": [ + "ㄇㄚ2" + ], + "𥉶": [ + "ㄌㄨ4" + ], + "𥉷": [ + "ㄑㄧ1" + ], + "𥉸": [ + "ㄎㄥ1" + ], + "𥉺": [ + "ㄉㄧㄝ2" + ], + "𥉻": [ + "ㄑㄧ4" + ], + "𥉼": [ + "ㄐㄧㄠ1" + ], + "𥉽": [ + "ㄎㄤ1" + ], + "𥉾": [ + "ㄑㄧㄠ1" + ], + "𥉿": [ + "ㄇㄧ4" + ], + "𥊀": [ + "ㄕㄢ1", + "ㄙㄢ3" + ], + "𥊇": [ + "ㄐㄧㄢ1" + ], + "𥊈": [ + "ㄌㄧ2" + ], + "𥊉": [ + "ㄎㄜ4" + ], + "𥊊": [ + "ㄒㄩ4" + ], + "𥊑": [ + "ㄇㄢ2", + "ㄇㄢ4" + ], + "𥊒": [ + "ㄈㄥ4" + ], + "𥊓": [ + "ㄔㄢ4" + ], + "𥊔": [ + "ㄏㄨㄟ3" + ], + "𥊧": [ + "ㄎㄡ4" + ], + "𥊪": [ + "ㄨㄟ3" + ], + "𥊫": [ + "ㄍㄨㄢ4" + ], + "𥊬": [ + "ㄐㄧ2" + ], + "𥊭": [ + "ㄗㄨㄣ4" + ], + "𥊮": [ + "ㄏㄨㄛ4" + ], + "𥊯": [ + "ㄒㄧㄝ2" + ], + "𥊴": [ + "ㄙㄨㄟ4" + ], + "𥊶": [ + "ㄖㄨㄢ3" + ], + "𥊸": [ + "ㄊㄜ4" + ], + "𥊼": [ + "ㄓㄥ4" + ], + "𥊽": [ + "ㄎㄨㄣ1" + ], + "𥊾": [ + "ㄒㄧㄤ3" + ], + "𥊿": [ + "ㄇㄧㄢ2" + ], + "𥋁": [ + "ㄒㄧ4" + ], + "𥋌": [ + "ㄙㄚ1" + ], + "𥋙": [ + "ㄜ4" + ], + "𥋚": [ + "ㄇㄧㄝ4" + ], + "𥋛": [ + "ㄓㄨ3" + ], + "𥋜": [ + "ㄗㄡ1" + ], + "𥋝": [ + "ㄇㄥ3" + ], + "𥋟": [ + "ㄒㄧ1" + ], + "𥋡": [ + "ㄊㄤ2" + ], + "𥋣": [ + "ㄐㄧㄚ4" + ], + "𥋤": [ + "ㄔㄤ2" + ], + "𥋥": [ + "ㄐㄧ2" + ], + "𥋮": [ + "ㄓㄨㄛ2" + ], + "𥋿": [ + "ㄏㄜ4" + ], + "𥌀": [ + "ㄔㄚ2" + ], + "𥌁": [ + "ㄑㄧ4" + ], + "𥌂": [ + "ㄇㄧㄢ2" + ], + "𥌃": [ + "ㄓㄣ3" + ], + "𥌄": [ + "ㄎㄨ1" + ], + "𥌅": [ + "ㄧㄝ4" + ], + "𥌆": [ + "ㄓㄡ1" + ], + "𥌈": [ + "ㄐㄧㄢ1" + ], + "𥌊": [ + "ㄆㄢ4" + ], + "𥌍": [ + "ㄏㄨㄟ1" + ], + "𥌏": [ + "ㄇㄧㄥ2" + ], + "𥌐": [ + "ㄌㄧㄡ4" + ], + "𥌘": [ + "ㄕㄨㄟ4" + ], + "𥌚": [ + "ㄇㄞ4", + "ㄧㄚ2", + "ㄕㄨ4" + ], + "𥌛": [ + "ㄌㄧ2" + ], + "𥌞": [ + "ㄕㄨㄛ4" + ], + "𥌟": [ + "ㄧ2" + ], + "𥌤": [ + "ㄌㄧ4" + ], + "𥌨": [ + "ㄒㄧㄝ1", + "ㄇㄧㄝ4" + ], + "𥌩": [ + "ㄊㄜ4" + ], + "𥌪": [ + "ㄒㄧㄡ1" + ], + "𥌭": [ + "ㄒㄩㄢ4" + ], + "𥌮": [ + "ㄌㄧ4" + ], + "𥌯": [ + "ㄇㄥ2" + ], + "𥌰": [ + "ㄨㄟ2" + ], + "𥌱": [ + "ㄇㄥ2" + ], + "𥌺": [ + "ㄧㄠ4" + ], + "𥌻": [ + "ㄌㄢ2" + ], + "𥌼": [ + "ㄌㄧㄥ2" + ], + "𥌽": [ + "ㄧㄥ1" + ], + "𥌾": [ + "ㄧㄥ1" + ], + "𥌿": [ + "ㄌㄧ4" + ], + "𥍀": [ + "ㄐㄧㄢ3" + ], + "𥍁": [ + "ㄍㄨㄟ1", + "ㄍㄨㄟ4" + ], + "𥍅": [ + "ㄍㄨㄢ1" + ], + "𥍆": [ + "ㄒㄧㄝ4" + ], + "𥍉": [ + "ㄕㄜ4" + ], + "𥍋": [ + "ㄗㄨㄟ1", + "ㄒㄧㄝ1", + "ㄏㄨㄟ3" + ], + "𥍓": [ + "ㄎㄢ4", + "ㄧㄢ3" + ], + "𥍔": [ + "ㄌㄟ2" + ], + "𥍚": [ + "ㄅㄧㄢ4" + ], + "𥍝": [ + "ㄕㄨ3" + ], + "𥍞": [ + "ㄋㄩ4" + ], + "𥍟": [ + "ㄒㄩ4", + "ㄧ4" + ], + "𥍣": [ + "ㄏㄠ4" + ], + "𥍨": [ + "ㄍㄨㄟ3" + ], + "𥍪": [ + "ㄓㄞ4" + ], + "𥍫": [ + "ㄌㄤ2" + ], + "𥍬": [ + "ㄘㄨㄢ1" + ], + "𥍭": [ + "ㄓ4" + ], + "𥍮": [ + "ㄈㄥ2", + "ㄈㄥ1" + ], + "𥍯": [ + "ㄑㄧㄣ1" + ], + "𥍱": [ + "ㄗㄜ2" + ], + "𥍲": [ + "ㄋㄚ4" + ], + "𥍳": [ + "ㄋㄧㄡ3" + ], + "𥍴": [ + "ㄧ4" + ], + "𥍷": [ + "ㄘㄨㄥ1" + ], + "𥍸": [ + "ㄕ1" + ], + "𥍹": [ + "ㄐㄧㄢ3" + ], + "𥍺": [ + "ㄗㄨㄥ1" + ], + "𥍻": [ + "ㄧㄢ3" + ], + "𥍼": [ + "ㄧㄥ1" + ], + "𥎀": [ + "ㄖㄨㄢ3" + ], + "𥎂": [ + "ㄖㄨㄥ2" + ], + "𥎃": [ + "ㄒㄧ4" + ], + "𥎅": [ + "ㄍㄨㄢ1" + ], + "𥎆": [ + "ㄎㄞ4" + ], + "𥎈": [ + "ㄨ4" + ], + "𥎊": [ + "ㄑㄧㄣ2" + ], + "𥎋": [ + "ㄘㄨㄥ1" + ], + "𥎍": [ + "ㄗㄜ2" + ], + "𥎎": [ + "ㄒㄧㄝ4" + ], + "𥎐": [ + "ㄩ4" + ], + "𥎑": [ + "ㄗㄢ4" + ], + "𥎒": [ + "ㄔㄨㄤ1" + ], + "𥎓": [ + "ㄌㄧ3" + ], + "𥎔": [ + "ㄌㄧ3" + ], + "𥎕": [ + "ㄒㄩ4" + ], + "𥎖": [ + "ㄇㄧ2" + ], + "𥎗": [ + "ㄒㄩ4" + ], + "𥎘": [ + "ㄖㄨㄢ3" + ], + "𥎛": [ + "ㄍㄨㄟ4" + ], + "𥎜": [ + "ㄖㄨㄥ3" + ], + "𥎟": [ + "ㄇㄠ2" + ], + "𥎡": [ + "ㄑㄧㄣ2" + ], + "𥎢": [ + "ㄘㄨㄢ4" + ], + "𥎣": [ + "ㄘㄨㄢ4" + ], + "𥎤": [ + "ㄘㄨㄢ4" + ], + "𥎮": [ + "ㄨ1" + ], + "𥎰": [ + "ㄈㄚ3" + ], + "𥎱": [ + "ㄅㄚ2" + ], + "𥎸": [ + "ㄑㄧㄚ4" + ], + "𥎹": [ + "ㄓ4" + ], + "𥎺": [ + "ㄊㄧㄠ4" + ], + "𥏄": [ + "ㄓ4" + ], + "𥏅": [ + "ㄓ2" + ], + "𥏇": [ + "ㄏㄨㄢ4" + ], + "𥏈": [ + "ㄔㄡ2" + ], + "𥏊": [ + "ㄓ4" + ], + "𥏎": [ + "ㄧㄥ3" + ], + "𥏒": [ + "ㄨ4" + ], + "𥏓": [ + "ㄅㄟ1" + ], + "𥏕": [ + "ㄏㄨㄥ2" + ], + "𥏖": [ + "ㄕㄣ3" + ], + "𥏘": [ + "ㄐㄩㄝ2" + ], + "𥏙": [ + "ㄎㄨㄟ4" + ], + "𥏜": [ + "ㄧ3" + ], + "𥏝": [ + "ㄧㄚ4" + ], + "𥏠": [ + "ㄅㄧ1" + ], + "𥏤": [ + "ㄎㄨㄚ4" + ], + "𥏥": [ + "ㄑㄧㄢ1" + ], + "𥏨": [ + "ㄓㄠ1" + ], + "𥏪": [ + "ㄎㄞ3" + ], + "𥏫": [ + "ㄕㄤ1" + ], + "𥏮": [ + "ㄢ4" + ], + "𥏯": [ + "ㄓㄜ2" + ], + "𥏰": [ + "ㄓ4" + ], + "𥏷": [ + "ㄓ4" + ], + "𥏹": [ + "ㄐㄧㄠ3" + ], + "𥐀": [ + "ㄙ1" + ], + "𥐁": [ + "ㄆㄨ2" + ], + "𥐂": [ + "ㄡ3" + ], + "𥐊": [ + "ㄓㄨㄛ2" + ], + "𥐑": [ + "ㄧㄥ1" + ], + "𥐓": [ + "ㄏㄨㄢ1" + ], + "𥐕": [ + "ㄧㄚ4" + ], + "𥐘": [ + "ㄕ2" + ], + "𥐙": [ + "ㄆㄚ1", + "ㄅㄚ1" + ], + "𥐚": [ + "ㄆㄨ3" + ], + "𥐞": [ + "ㄇㄤ2" + ], + "𥐟": [ + "ㄔㄞ1" + ], + "𥐩": [ + "ㄩㄣ2" + ], + "𥐬": [ + "ㄍㄨ3" + ], + "𥐹": [ + "ㄉㄢ3" + ], + "𥐻": [ + "ㄋㄠ2" + ], + "𥐽": [ + "ㄓㄜ2" + ], + "𥐿": [ + "ㄏㄨ2" + ], + "𥑅": [ + "ㄎㄥ1" + ], + "𥑇": [ + "ㄉㄧㄝ2" + ], + "𥑈": [ + "ㄊㄧㄥ1" + ], + "𥑋": [ + "ㄍㄨㄞ4" + ], + "𥑎": [ + "ㄑㄩㄥ1" + ], + "𥑏": [ + "ㄕ3" + ], + "𥑐": [ + "ㄐㄧㄚ3" + ], + "𥑑": [ + "ㄠ4" + ], + "𥑒": [ + "ㄋㄚ3", + "ㄎㄥ1" + ], + "𥑓": [ + "ㄆㄧㄣ3" + ], + "𥑔": [ + "ㄐㄧㄚ2" + ], + "𥑡": [ + "ㄓㄜ4" + ], + "𥑢": [ + "ㄅㄨ4" + ], + "𥑣": [ + "ㄨㄛ3" + ], + "𥑥": [ + "ㄔㄚ3" + ], + "𥑪": [ + "ㄋㄠ2" + ], + "𥑫": [ + "ㄎㄢ1", + "ㄎㄢ3" + ], + "𥑯": [ + "ㄉㄨ2" + ], + "𥑰": [ + "ㄍㄨㄞ4" + ], + "𥑱": [ + "ㄑㄩㄥ2" + ], + "𥑳": [ + "ㄖㄨㄥ2" + ], + "𥑴": [ + "ㄧ3" + ], + "𥑵": [ + "ㄉㄨㄟ1" + ], + "𥑶": [ + "ㄌㄟ3" + ], + "𥑸": [ + "ㄓㄡ1" + ], + "𥑹": [ + "ㄎㄨㄚ1" + ], + "𥑺": [ + "ㄜ1" + ], + "𥑻": [ + "ㄒㄧㄢ1" + ], + "𥑼": [ + "ㄉㄧㄢ4" + ], + "𥑽": [ + "ㄋㄨㄛ4" + ], + "𥑾": [ + "ㄜ4" + ], + "𥑿": [ + "ㄩㄥ1" + ], + "𥒀": [ + "ㄨ4" + ], + "𥒁": [ + "ㄎㄥ1" + ], + "𥒓": [ + "ㄓ4" + ], + "𥒗": [ + "ㄓ3" + ], + "𥒘": [ + "ㄒㄩㄣ2" + ], + "𥒛": [ + "ㄓㄥ4" + ], + "𥒞": [ + "ㄧㄤ2" + ], + "𥒠": [ + "ㄏㄨㄛ4" + ], + "𥒡": [ + "ㄐㄧ2" + ], + "𥒢": [ + "ㄋㄠ3", + "ㄌㄧ4" + ], + "𥒧": [ + "ㄧㄚ4" + ], + "𥒨": [ + "ㄌㄨ4" + ], + "𥒫": [ + "ㄈㄨ1" + ], + "𥒬": [ + "ㄙㄢ3" + ], + "𥒭": [ + "ㄔㄨ4" + ], + "𥒮": [ + "ㄨㄟ3" + ], + "𥒰": [ + "ㄈㄨ3" + ], + "𥒱": [ + "ㄎㄥ1" + ], + "𥒲": [ + "ㄙ4" + ], + "𥒳": [ + "ㄎㄤ4" + ], + "𥒵": [ + "ㄧ4" + ], + "𥒶": [ + "ㄏㄨㄚ4" + ], + "𥒾": [ + "ㄩ3" + ], + "𥓃": [ + "ㄌㄧ4" + ], + "𥓆": [ + "ㄌㄧㄣ3" + ], + "𥓇": [ + "ㄉㄨ3" + ], + "𥓈": [ + "ㄜ4" + ], + "𥓌": [ + "ㄑㄧㄤ3" + ], + "𥓍": [ + "ㄉㄨ2" + ], + "𥓐": [ + "ㄐㄧㄝ2" + ], + "𥓑": [ + "ㄔㄨㄛ4" + ], + "𥓒": [ + "ㄒㄧㄢ4", + "ㄎㄢ4" + ], + "𥓖": [ + "ㄍㄠ3" + ], + "𥓬": [ + "ㄉㄠ4" + ], + "𥓰": [ + "ㄏㄨㄥ1" + ], + "𥓻": [ + "ㄗㄨㄥ1" + ], + "𥓾": [ + "ㄑㄧ4" + ], + "𥓿": [ + "ㄊㄨㄛ2" + ], + "𥔀": [ + "ㄏㄨㄥ1" + ], + "𥔁": [ + "ㄆㄧ3" + ], + "𥔂": [ + "ㄍㄥ4" + ], + "𥔄": [ + "ㄋㄧㄝ4" + ], + "𥔇": [ + "ㄎㄨㄥ1" + ], + "𥔊": [ + "ㄓ3" + ], + "𥔑": [ + "ㄒㄧㄠ3" + ], + "𥔡": [ + "ㄕㄜ4" + ], + "𥔢": [ + "ㄩ2" + ], + "𥔣": [ + "ㄐㄧㄤ1" + ], + "𥔩": [ + "ㄑㄧ3" + ], + "𥔪": [ + "ㄔㄣ3" + ], + "𥔫": [ + "ㄙㄤ3" + ], + "𥔭": [ + "ㄙㄨㄛ3" + ], + "𥔮": [ + "ㄑㄧㄢ2" + ], + "𥔯": [ + "ㄏㄨㄟ4" + ], + "𥔱": [ + "ㄕㄢ4" + ], + "𥔲": [ + "ㄜ4" + ], + "𥔻": [ + "ㄑㄧㄡ1" + ], + "𥔽": [ + "ㄎㄜ4" + ], + "𥕀": [ + "ㄨㄥ1" + ], + "𥕁": [ + "ㄗ1" + ], + "𥕂": [ + "ㄐㄧ2" + ], + "𥕇": [ + "ㄉㄚ3" + ], + "𥕉": [ + "ㄘㄨㄛ4" + ], + "𥕍": [ + "ㄌㄡ3" + ], + "𥕎": [ + "ㄎㄤ1" + ], + "𥕏": [ + "ㄎㄨㄛ4" + ], + "𥕐": [ + "ㄉㄧ2" + ], + "𥕑": [ + "ㄑㄧㄝ1", + "ㄐㄩ1" + ], + "𥕓": [ + "ㄇㄛ4" + ], + "𥕖": [ + "ㄍㄨㄛ3" + ], + "𥕗": [ + "ㄏㄨㄥ1" + ], + "𥕘": [ + "ㄔㄠ2", + "ㄙㄨㄛ3" + ], + "𥕙": [ + "ㄏㄟ1" + ], + "𥕢": [ + "ㄘㄠ2" + ], + "𥕣": [ + "ㄓㄜ2" + ], + "𥕦": [ + "ㄍㄨㄣ3" + ], + "𥕰": [ + "ㄒㄩ1" + ], + "𥕱": [ + "ㄆㄥ2", + "ㄆㄥ1" + ], + "𥕲": [ + "ㄐㄩㄝ2" + ], + "𥕵": [ + "ㄍㄢ3" + ], + "𥕶": [ + "ㄙ1" + ], + "𥕸": [ + "ㄙㄨㄟ4" + ], + "𥕹": [ + "ㄑㄩㄝ4" + ], + "𥕻": [ + "ㄨ2", + "ㄨ3" + ], + "𥕼": [ + "ㄧㄢ2" + ], + "𥕽": [ + "ㄆㄥ4" + ], + "𥕾": [ + "ㄒㄧㄠ3" + ], + "𥕿": [ + "ㄆㄢ1" + ], + "𥖍": [ + "ㄌㄚ4" + ], + "𥖗": [ + "ㄅㄥ4" + ], + "𥖘": [ + "ㄓㄣ3" + ], + "𥖙": [ + "ㄐㄧ2" + ], + "𥖜": [ + "ㄐㄧㄣ3" + ], + "𥖝": [ + "ㄌㄧㄢ2" + ], + "𥖞": [ + "ㄎㄣ3" + ], + "𥖠": [ + "ㄓㄡ2", + "ㄉㄨ2" + ], + "𥖨": [ + "ㄗㄠ4" + ], + "𥖪": [ + "ㄌㄜ4" + ], + "𥖫": [ + "ㄑㄧ1" + ], + "𥖬": [ + "ㄅㄧㄥ4" + ], + "𥖵": [ + "ㄧㄣ3" + ], + "𥖶": [ + "ㄆㄧㄣ1" + ], + "𥖻": [ + "ㄙㄡ3" + ], + "𥖼": [ + "ㄌㄩ4" + ], + "𥖾": [ + "ㄉㄧ2" + ], + "𥖿": [ + "ㄉㄨ2" + ], + "𥗀": [ + "ㄌㄧㄠ3" + ], + "𥗁": [ + "ㄓㄨㄛ2" + ], + "𥗊": [ + "ㄔㄤ3" + ], + "𥗒": [ + "ㄔㄣ4" + ], + "𥗓": [ + "ㄊㄚ4" + ], + "𥗙": [ + "ㄑㄩㄝ4" + ], + "𥗚": [ + "ㄉㄠ4" + ], + "𥗝": [ + "ㄖㄤ3" + ], + "𥗟": [ + "ㄆㄛ4" + ], + "𥗦": [ + "ㄓㄨㄥ1" + ], + "𥗧": [ + "ㄒㄧㄝ1" + ], + "𥗪": [ + "ㄐㄧㄤ1" + ], + "𥗫": [ + "ㄑㄩ2" + ], + "𥗬": [ + "ㄌㄟ3" + ], + "𥗭": [ + "ㄘㄚ4" + ], + "𥗮": [ + "ㄑㄩㄝ1" + ], + "𥗵": [ + "ㄒㄧㄤ4" + ], + "𥗶": [ + "ㄌㄟ4" + ], + "𥗺": [ + "ㄌㄢ4" + ], + "𥗽": [ + "ㄌㄢ2" + ], + "𥗿": [ + "ㄌㄚ3" + ], + "𥘁": [ + "ㄌㄚ3" + ], + "𥘄": [ + "ㄩ4" + ], + "𥘊": [ + "ㄐㄧㄠ4" + ], + "𥘋": [ + "ㄑㄧㄣ2" + ], + "𥘌": [ + "ㄐㄧ1" + ], + "𥘏": [ + "ㄍㄢ3" + ], + "𥘒": [ + "ㄧ4" + ], + "𥘠": [ + "ㄧ4" + ], + "𥘡": [ + "ㄓ1" + ], + "𥘤": [ + "ㄅㄧㄠ3" + ], + "𥘥": [ + "ㄕㄥ1" + ], + "𥘦": [ + "ㄐㄧㄡ4", + "ㄕㄜ4" + ], + "𥘫": [ + "ㄏㄜ1" + ], + "𥘬": [ + "ㄈㄨ2" + ], + "𥘮": [ + "ㄐㄩ1" + ], + "𥙀": [ + "ㄗㄨㄛ3" + ], + "𥙁": [ + "ㄧ2" + ], + "𥙆": [ + "ㄒㄧㄢ4", + "ㄓ1" + ], + "𥙇": [ + "ㄧ2" + ], + "𥙉": [ + "ㄙ4", + "ㄊㄞ2" + ], + "𥙋": [ + "ㄔㄨㄟ4" + ], + "𥙎": [ + "ㄇㄛ4" + ], + "𥙡": [ + "ㄓㄢ1" + ], + "𥙣": [ + "ㄒㄩㄣ2" + ], + "𥙦": [ + "ㄖㄨ2" + ], + "𥙨": [ + "ㄏㄨㄛ4" + ], + "𥙬": [ + "ㄕㄠ1" + ], + "𥙰": [ + "ㄕㄡ4" + ], + "𥙾": [ + "ㄧㄡ4" + ], + "𥙿": [ + "ㄩ4" + ], + "𥚂": [ + "ㄐㄩㄣ4" + ], + "𥚉": [ + "ㄗ1" + ], + "𥚊": [ + "ㄌㄨ4" + ], + "𥚚": [ + "ㄔ3" + ], + "𥚛": [ + "ㄎㄨㄣ1" + ], + "𥚠": [ + "ㄓㄨㄣ4" + ], + "𥚦": [ + "ㄏㄡ2" + ], + "𥚩": [ + "ㄒㄩ3" + ], + "𥚾": [ + "ㄗㄨㄥ1" + ], + "𥚿": [ + "ㄧㄥ4" + ], + "𥛂": [ + "ㄓㄨ1" + ], + "𥛅": [ + "ㄌㄧㄡ4" + ], + "𥛑": [ + "ㄋㄨ4" + ], + "𥛘": [ + "ㄅㄧ4" + ], + "𥛚": [ + "ㄔ4" + ], + "𥛜": [ + "ㄗㄨ3" + ], + "𥛝": [ + "ㄈㄥ2" + ], + "𥛞": [ + "ㄌㄨ4" + ], + "𥛟": [ + "ㄆㄨ3" + ], + "𥛥": [ + "ㄓㄨㄢ4" + ], + "𥛧": [ + "ㄓㄜ2" + ], + "𥛨": [ + "ㄕ1" + ], + "𥛩": [ + "ㄩ3" + ], + "𥛪": [ + "ㄌㄨ4" + ], + "𥛫": [ + "ㄌㄧㄤ2" + ], + "𥛯": [ + "ㄐㄩㄝ2" + ], + "𥛰": [ + "ㄌㄧㄠ4" + ], + "𥛱": [ + "ㄅㄥ1" + ], + "𥜃": [ + "ㄧ4" + ], + "𥜄": [ + "ㄍㄨㄢ1" + ], + "𥜌": [ + "ㄠ3" + ], + "𥜏": [ + "ㄍㄨㄟ4" + ], + "𥜐": [ + "ㄇㄧㄣ3" + ], + "𥜒": [ + "ㄧㄢ3" + ], + "𥜓": [ + "ㄌㄢ2" + ], + "𥜖": [ + "ㄅㄛ2" + ], + "𥜙": [ + "ㄗㄢ4" + ], + "𥜚": [ + "ㄧㄡ3" + ], + "𥜥": [ + "ㄧ4" + ], + "𥜦": [ + "ㄋㄧ3", + "ㄒㄧㄢ3" + ], + "𥜬": [ + "ㄋㄧ3", + "ㄒㄧㄢ3" + ], + "𥜭": [ + "ㄍㄨㄛ3" + ], + "𥜮": [ + "ㄐㄩㄣ4" + ], + "𥜰": [ + "ㄕ1" + ], + "𥜲": [ + "ㄒㄧㄢ3", + "ㄐㄧㄢ3" + ], + "𥜴": [ + "ㄑㄧㄢ1" + ], + "𥜵": [ + "ㄑㄩㄝ4" + ], + "𥜶": [ + "ㄎㄨㄟ2" + ], + "𥝀": [ + "ㄕㄜ2" + ], + "𥝂": [ + "ㄏㄨㄛ4" + ], + "𥝄": [ + "ㄨㄢ4" + ], + "𥝊": [ + "ㄈㄟ4" + ], + "𥝋": [ + "ㄈㄟ4" + ], + "𥝌": [ + "ㄐㄧ1" + ], + "𥝍": [ + "ㄩ4", + "ㄨㄤ2" + ], + "𥝑": [ + "ㄓ1" + ], + "𥝒": [ + "ㄍㄨㄚ4" + ], + "𥝔": [ + "ㄐㄧㄝ2" + ], + "𥝕": [ + "ㄇㄤ2" + ], + "𥝖": [ + "ㄏㄜ2", + "ㄒㄧㄝ2" + ], + "𥝘": [ + "ㄧㄡ3" + ], + "𥝟": [ + "ㄉㄨ4" + ], + "𥝠": [ + "ㄙ1", + "ㄒㄧㄡ4" + ], + "𥝢": [ + "ㄌㄧ4" + ], + "𥝥": [ + "ㄐㄧㄝ2" + ], + "𥝦": [ + "ㄋㄧㄡ3" + ], + "𥝧": [ + "ㄅㄚ4" + ], + "𥝨": [ + "ㄩ2" + ], + "𥝮": [ + "ㄓ1" + ], + "𥝸": [ + "ㄏㄜ2" + ], + "𥝹": [ + "ㄎㄜ1" + ], + "𥝾": [ + "ㄉㄨ4", + "ㄓㄚ4" + ], + "𥝿": [ + "ㄐㄧㄚ1" + ], + "𥞁": [ + "ㄔㄣ1" + ], + "𥞃": [ + "ㄔㄨㄟ4", + "ㄕㄨ4" + ], + "𥞄": [ + "ㄏㄜ2" + ], + "𥞅": [ + "ㄓㄞ3" + ], + "𥞊": [ + "ㄇㄟ4" + ], + "𥞍": [ + "ㄏㄜ2" + ], + "𥞎": [ + "ㄗ3" + ], + "𥞏": [ + "ㄓㄨ2" + ], + "𥞒": [ + "ㄊㄨㄛ2" + ], + "𥞘": [ + "ㄗㄨㄣ4" + ], + "𥞚": [ + "ㄖㄨ2" + ], + "𥞛": [ + "ㄉㄨㄛ4" + ], + "𥞜": [ + "ㄐㄧㄤ4" + ], + "𥞧": [ + "ㄏㄥ2" + ], + "𥞩": [ + "ㄅㄥ1", + "ㄏㄜ2" + ], + "𥞪": [ + "ㄇㄛ4", + "ㄇㄧ3" + ], + "𥞯": [ + "ㄗㄨ2" + ], + "𥞲": [ + "ㄅㄧㄝ1" + ], + "𥞴": [ + "ㄎㄨ4" + ], + "𥞵": [ + "ㄐㄧㄚ2" + ], + "𥞺": [ + "ㄓㄨㄛ1" + ], + "𥞼": [ + "ㄒㄧㄡ1" + ], + "𥟃": [ + "ㄏㄜ2" + ], + "𥟅": [ + "ㄑㄧㄠ1" + ], + "𥟍": [ + "ㄈㄟ3" + ], + "𥟎": [ + "ㄕㄥ1" + ], + "𥟒": [ + "ㄓㄨㄟ4" + ], + "𥟓": [ + "ㄎㄨㄢ3" + ], + "𥟔": [ + "ㄗㄜ4" + ], + "𥟕": [ + "ㄒㄧㄢ1" + ], + "𥟗": [ + "ㄅㄧ4" + ], + "𥟘": [ + "ㄧ4" + ], + "𥟚": [ + "ㄔㄤ4" + ], + "𥟪": [ + "ㄇㄠ4" + ], + "𥟶": [ + "ㄨㄢ3" + ], + "𥟽": [ + "ㄨ1" + ], + "𥟾": [ + "ㄎㄨ1" + ], + "𥟿": [ + "ㄨㄛ3" + ], + "𥠀": [ + "ㄒㄧㄥ1" + ], + "𥠁": [ + "ㄎㄜ1" + ], + "𥠃": [ + "ㄐㄧㄡ1" + ], + "𥠄": [ + "ㄉㄨㄢ1" + ], + "𥠅": [ + "ㄏㄨㄢ4" + ], + "𥠈": [ + "ㄓ4", + "ㄐㄧ4" + ], + "𥠉": [ + "ㄘㄜ4" + ], + "𥠊": [ + "ㄖㄡ2" + ], + "𥠋": [ + "ㄐㄧ2" + ], + "𥠍": [ + "ㄧㄝ4" + ], + "𥠛": [ + "ㄐㄧㄥ1" + ], + "𥠜": [ + "ㄧㄤ4" + ], + "𥠡": [ + "ㄗㄨㄥ3" + ], + "𥠩": [ + "ㄘㄢ3" + ], + "𥠱": [ + "ㄙ1" + ], + "𥠲": [ + "ㄌㄧ4" + ], + "𥠳": [ + "ㄍㄨ3" + ], + "𥠴": [ + "ㄔㄤ4" + ], + "𥠶": [ + "ㄈㄟ3" + ], + "𥠷": [ + "ㄌㄧㄡ2" + ], + "𥠹": [ + "ㄐㄧㄝ2" + ], + "𥠺": [ + "ㄩㄣ1" + ], + "𥠽": [ + "ㄓ4" + ], + "𥡀": [ + "ㄔㄡ2" + ], + "𥡁": [ + "ㄅㄧㄝ1" + ], + "𥡒": [ + "ㄐㄧ1" + ], + "𥡜": [ + "ㄌㄨㄛ2", + "ㄙㄨㄟ4" + ], + "𥡝": [ + "ㄐㄧㄢ1", + "ㄑㄧㄢ1" + ], + "𥡟": [ + "ㄔㄨㄤ1" + ], + "𥡠": [ + "ㄕㄨㄤ3" + ], + "𥡢": [ + "ㄌㄩ4" + ], + "𥡣": [ + "ㄐㄩㄣ4" + ], + "𥡤": [ + "ㄐㄧㄠ4" + ], + "𥡦": [ + "ㄊㄧ4", + "ㄉㄧ4" + ], + "𥡧": [ + "ㄓㄚ1" + ], + "𥡪": [ + "ㄧ4" + ], + "𥡬": [ + "ㄘㄨㄥ1" + ], + "𥡭": [ + "ㄋㄟ3" + ], + "𥡮": [ + "ㄐㄧㄚ1" + ], + "𥡴": [ + "ㄐㄧ4" + ], + "𥡽": [ + "ㄞ4" + ], + "𥢇": [ + "ㄐㄧㄢ3" + ], + "𥢊": [ + "ㄅㄣ4" + ], + "𥢌": [ + "ㄈㄢ2" + ], + "𥢍": [ + "ㄏㄨ4", + "ㄙㄨㄟ4" + ], + "𥢎": [ + "ㄗㄨㄣ4" + ], + "𥢏": [ + "ㄉㄧㄢ4" + ], + "𥢐": [ + "ㄍㄠ1" + ], + "𥢑": [ + "ㄍㄠ3", + "ㄏㄠ4" + ], + "𥢒": [ + "ㄌㄠ2", + "ㄌㄠ4" + ], + "𥢔": [ + "ㄓㄨㄛ2", + "ㄓㄠ4" + ], + "𥢟": [ + "ㄏㄨ4" + ], + "𥢢": [ + "ㄊㄨㄟ2" + ], + "𥢦": [ + "ㄅㄧ4" + ], + "𥢧": [ + "ㄐㄩ2", + "ㄧ4" + ], + "𥢮": [ + "ㄏㄨㄚ2" + ], + "𥢲": [ + "ㄔㄥ2" + ], + "𥢶": [ + "ㄎㄨㄞ4" + ], + "𥢷": [ + "ㄉㄤ1" + ], + "𥢸": [ + "ㄍㄜ2" + ], + "𥢹": [ + "ㄒㄧㄝ2" + ], + "𥢻": [ + "ㄐㄧㄝ2" + ], + "𥢽": [ + "ㄘㄢ1" + ], + "𥣆": [ + "ㄗㄨ2" + ], + "𥣈": [ + "ㄆㄨ2" + ], + "𥣋": [ + "ㄕㄨ3" + ], + "𥣌": [ + "ㄅㄨ3" + ], + "𥣗": [ + "ㄋㄧㄥ2" + ], + "𥣘": [ + "ㄧㄢ3" + ], + "𥣙": [ + "ㄓㄡ4", + "ㄘㄨㄥ4" + ], + "𥣛": [ + "ㄇㄥ2" + ], + "𥣝": [ + "ㄅㄧㄢ3" + ], + "𥣟": [ + "ㄒㄧㄤ4" + ], + "𥣤": [ + "ㄌㄨ4" + ], + "𥣥": [ + "ㄌㄧ2" + ], + "𥣩": [ + "ㄐㄧ4" + ], + "𥣫": [ + "ㄇㄧㄝ4" + ], + "𥣬": [ + "ㄌㄟ4" + ], + "𥣮": [ + "ㄓ4" + ], + "𥣯": [ + "ㄧㄡ1" + ], + "𥣰": [ + "ㄅㄧㄢ3" + ], + "𥣸": [ + "ㄇㄨ4" + ], + "𥣹": [ + "ㄖㄢ4" + ], + "𥣺": [ + "ㄖㄢ4" + ], + "𥤂": [ + "ㄋㄧㄠ3" + ], + "𥤊": [ + "ㄑㄩㄢ2" + ], + "𥤋": [ + "ㄓㄜ2" + ], + "𥤐": [ + "ㄌㄟ4", + "ㄌㄟ2" + ], + "𥤗": [ + "ㄉㄤ3" + ], + "𥤘": [ + "ㄐㄩㄝ2" + ], + "𥤜": [ + "ㄌㄧㄥ2" + ], + "𥤞": [ + "ㄌㄧㄥ2" + ], + "𥤟": [ + "ㄧㄢ2" + ], + "𥤣": [ + "ㄧㄠ3" + ], + "𥤤": [ + "ㄓㄣ4" + ], + "𥤥": [ + "ㄑㄧ1" + ], + "𥤦": [ + "ㄞ4" + ], + "𥤨": [ + "ㄋㄨ2" + ], + "𥤩": [ + "ㄇㄤ3" + ], + "𥤱": [ + "ㄎㄢ3", + "ㄏㄢ1" + ], + "𥤳": [ + "ㄐㄧㄡ1", + "ㄘㄨㄢ4" + ], + "𥤴": [ + "ㄧㄢ3" + ], + "𥤵": [ + "ㄇㄧㄢ4" + ], + "𥤷": [ + "ㄧㄣ2" + ], + "𥤸": [ + "ㄨㄢ2" + ], + "𥤹": [ + "ㄧㄠ4", + "ㄧㄠ3" + ], + "𥤺": [ + "ㄨㄚ1" + ], + "𥤻": [ + "ㄆㄧ2" + ], + "𥤼": [ + "ㄙㄨㄟ4" + ], + "𥥅": [ + "ㄎㄨㄥ3" + ], + "𥥈": [ + "ㄏㄨㄥ2", + "ㄨㄥ4" + ], + "𥥊": [ + "ㄇㄧㄥ3" + ], + "𥥋": [ + "ㄌㄧㄥ2" + ], + "𥥌": [ + "ㄧ4", + "ㄉㄧㄝ2" + ], + "𥥍": [ + "ㄕㄣ1", + "ㄕㄣ4" + ], + "𥥏": [ + "ㄗㄨㄛ4" + ], + "𥥛": [ + "ㄊㄨ1", + "ㄅㄚ2" + ], + "𥥝": [ + "ㄩㄥ4" + ], + "𥥟": [ + "ㄨㄚ4" + ], + "𥥠": [ + "ㄍㄨㄟ3" + ], + "𥥡": [ + "ㄏㄨㄥ4" + ], + "𥥥": [ + "ㄕ4" + ], + "𥥧": [ + "ㄒㄩㄥ4" + ], + "𥥩": [ + "ㄚ1", + "ㄒㄧㄤ4" + ], + "𥥱": [ + "ㄔㄥ2" + ], + "𥥳": [ + "ㄎㄥ1" + ], + "𥥴": [ + "ㄧ4" + ], + "𥥵": [ + "ㄧㄤ4" + ], + "𥥶": [ + "ㄊㄧㄥ2" + ], + "𥥷": [ + "ㄉㄡ4" + ], + "𥥸": [ + "ㄔㄚ2" + ], + "𥥹": [ + "ㄌㄧㄡ4" + ], + "𥥽": [ + "ㄑㄧㄡ2" + ], + "𥥾": [ + "ㄒㄩㄢ3" + ], + "𥥿": [ + "ㄕㄣ1" + ], + "𥦀": [ + "ㄎㄨㄢ1", + "ㄇㄧ4" + ], + "𥦁": [ + "ㄊㄨㄥ4" + ], + "𥦃": [ + "ㄑㄧㄢ3" + ], + "𥦅": [ + "ㄔㄡ4" + ], + "𥦊": [ + "ㄨㄣ3" + ], + "𥦌": [ + "ㄌㄨㄥ4" + ], + "𥦍": [ + "ㄢ3", + "ㄧㄢ3" + ], + "𥦔": [ + "ㄎㄢ3" + ], + "𥦖": [ + "ㄧㄠ3" + ], + "𥦘": [ + "ㄈㄨ2" + ], + "𥦜": [ + "ㄅㄥ4" + ], + "𥦝": [ + "ㄌㄢ3" + ], + "𥦞": [ + "ㄑㄧㄚ4" + ], + "𥦟": [ + "ㄉㄧㄢ4" + ], + "𥦢": [ + "ㄐㄧㄠ4" + ], + "𥦣": [ + "ㄍㄨㄟ1" + ], + "𥦥": [ + "ㄒㄩㄥ4" + ], + "𥦨": [ + "ㄎㄜ4" + ], + "𥦶": [ + "ㄒㄧㄢ4" + ], + "𥦷": [ + "ㄨㄥ4" + ], + "𥧂": [ + "ㄍㄨㄥ3" + ], + "𥧆": [ + "ㄡ3" + ], + "𥧇": [ + "ㄎㄜ1", + "ㄔㄠ2" + ], + "𥧋": [ + "ㄎㄨ1" + ], + "𥧑": [ + "ㄊㄧㄢ2", + "ㄉㄧㄢ1", + "ㄧㄢ3", + "ㄔㄢ3" + ], + "𥧒": [ + "ㄍㄡ4" + ], + "𥧓": [ + "ㄇㄚ3" + ], + "𥧕": [ + "ㄌㄧㄡ4" + ], + "𥧙": [ + "ㄨㄟ4" + ], + "𥧚": [ + "ㄨㄣ3" + ], + "𥧡": [ + "ㄍㄨㄥ4" + ], + "𥧣": [ + "ㄊㄨ2" + ], + "𥧤": [ + "ㄋㄧㄥ2" + ], + "𥧧": [ + "ㄇㄧ4" + ], + "𥧫": [ + "ㄌㄤ2" + ], + "𥧬": [ + "ㄑㄧㄢ3" + ], + "𥧭": [ + "ㄇㄢ2" + ], + "𥧮": [ + "ㄓㄜ2" + ], + "𥧰": [ + "ㄏㄨㄚ4" + ], + "𥧱": [ + "ㄩㄥ1" + ], + "𥧲": [ + "ㄐㄧㄣ4", + "ㄐㄧㄣ3" + ], + "𥧴": [ + "ㄇㄟ4" + ], + "𥧷": [ + "ㄈㄨ2" + ], + "𥧻": [ + "ㄑㄩ2" + ], + "𥨌": [ + "ㄌㄧㄡ4" + ], + "𥨍": [ + "ㄈㄨ4" + ], + "𥨎": [ + "ㄉㄢ4" + ], + "𥨐": [ + "ㄍㄨㄥ3" + ], + "𥨒": [ + "ㄘㄨㄟ4", + "ㄘㄨㄢ4" + ], + "𥨕": [ + "ㄒㄧㄥ3" + ], + "𥨜": [ + "ㄊㄨ1" + ], + "𥨝": [ + "ㄕㄡ4" + ], + "𥨪": [ + "ㄑㄩㄥ2" + ], + "𥨳": [ + "ㄖㄨㄥ2" + ], + "𥨻": [ + "ㄌㄧ4" + ], + "𥨿": [ + "ㄐㄧ1" + ], + "𥩀": [ + "ㄊㄨㄛ4" + ], + "𥩌": [ + "ㄊㄨㄥ2" + ], + "𥩒": [ + "ㄊㄢ2" + ], + "𥩔": [ + "ㄌㄧㄥ2" + ], + "𥩖": [ + "ㄧ4" + ], + "𥩗": [ + "ㄖㄨㄢ3" + ], + "𥩙": [ + "ㄆㄚ3" + ], + "𥩝": [ + "ㄘㄚ4" + ], + "𥩡": [ + "ㄩㄝ4" + ], + "𥩢": [ + "ㄑㄩㄝ4" + ], + "𥩣": [ + "ㄓㄨ4" + ], + "𥩤": [ + "ㄏㄞ4" + ], + "𥩱": [ + "ㄈㄚ2" + ], + "𥩲": [ + "ㄏㄞ4" + ], + "𥪀": [ + "ㄅㄨ1" + ], + "𥪁": [ + "ㄆㄧㄥ1" + ], + "𥪂": [ + "ㄌㄧㄝ4" + ], + "𥪊": [ + "ㄎㄨㄟ3", + "ㄐㄩㄝ2" + ], + "𥪋": [ + "ㄈㄨ2" + ], + "𥪌": [ + "ㄊㄧㄢ3" + ], + "𥪍": [ + "ㄨㄛ4" + ], + "𥪏": [ + "ㄐㄩ1" + ], + "𥪘": [ + "ㄓㄣ1" + ], + "𥪚": [ + "ㄈㄨ2" + ], + "𥪢": [ + "ㄌㄨㄥ2" + ], + "𥪦": [ + "ㄒㄧ4" + ], + "𥪧": [ + "ㄊㄧㄢ2" + ], + "𥪫": [ + "ㄐㄧ4" + ], + "𥪯": [ + "ㄧㄠ4", + "ㄑㄧㄠ2" + ], + "𥪱": [ + "ㄘㄨ4" + ], + "𥪴": [ + "ㄆㄤ4" + ], + "𥪵": [ + "ㄑㄧㄝ4" + ], + "𥪻": [ + "ㄌㄨㄥ2" + ], + "𥪼": [ + "ㄐㄧ3" + ], + "𥫂": [ + "ㄊㄨㄥ2" + ], + "𥫃": [ + "ㄧ2" + ], + "𥫅": [ + "ㄔㄤ1" + ], + "𥫋": [ + "ㄍㄨㄥ1" + ], + "𥫎": [ + "ㄉㄨㄥ4" + ], + "𥫖": [ + "ㄒㄧㄤ1" + ], + "𥫙": [ + "ㄊㄧㄥ3" + ], + "𥫛": [ + "ㄓㄨㄢ1" + ], + "𥫜": [ + "ㄧ3" + ], + "𥫝": [ + "ㄧ4" + ], + "𥫞": [ + "ㄗ3" + ], + "𥫟": [ + "ㄑㄧ3" + ], + "𥫢": [ + "ㄔㄚ3" + ], + "𥫬": [ + "ㄉㄨㄣ4" + ], + "𥫯": [ + "ㄔㄨㄥ1" + ], + "𥫰": [ + "ㄌㄨ4" + ], + "𥫱": [ + "ㄉㄨㄣ4" + ], + "𥫳": [ + "ㄈㄤ1" + ], + "𥫴": [ + "ㄕ4" + ], + "𥫵": [ + "ㄊㄧ4" + ], + "𥫶": [ + "ㄐㄧ1" + ], + "𥫷": [ + "ㄑㄧㄡ1" + ], + "𥫸": [ + "ㄕㄨㄟ3" + ], + "𥫹": [ + "ㄔㄣ2" + ], + "𥫼": [ + "ㄏㄨㄤ4" + ], + "𥫽": [ + "ㄕ5" + ], + "𥬀": [ + "ㄩㄣ2" + ], + "𥬆": [ + "ㄌㄨㄥ2" + ], + "𥬈": [ + "ㄇㄢ3" + ], + "𥬉": [ + "ㄍㄡ1" + ], + "𥬍": [ + "ㄒㄧㄢ1" + ], + "𥬎": [ + "ㄇㄛ4" + ], + "𥬐": [ + "ㄕㄣ3" + ], + "𥬒": [ + "ㄆㄛ1" + ], + "𥬓": [ + "ㄧㄠ4" + ], + "𥬔": [ + "ㄑㄩ1" + ], + "𥬕": [ + "ㄖㄢ3" + ], + "𥬙": [ + "ㄐㄩ4" + ], + "𥬜": [ + "ㄧㄣ3" + ], + "𥬝": [ + "ㄅㄞ2" + ], + "𥬞": [ + "ㄋㄧㄝ4" + ], + "𥬠": [ + "ㄔㄡ1" + ], + "𥬪": [ + "ㄖㄨㄥ2" + ], + "𥬫": [ + "ㄔㄨㄢ3" + ], + "𥬬": [ + "ㄋㄧㄝ4" + ], + "𥬭": [ + "ㄌㄧ4", + "ㄌㄧㄝ4" + ], + "𥬮": [ + "ㄐㄧㄤ1" + ], + "𥬯": [ + "ㄎㄠ3" + ], + "𥬰": [ + "ㄘㄜ4", + "ㄓㄚ4" + ], + "𥬱": [ + "ㄔㄨㄥ4" + ], + "𥬲": [ + "ㄓㄨㄚ1", + "ㄉㄨㄛ4" + ], + "𥬳": [ + "ㄗ3" + ], + "𥬴": [ + "ㄧㄤ2" + ], + "𥬼": [ + "ㄨㄣ3" + ], + "𥭋": [ + "ㄐㄧ4" + ], + "𥭌": [ + "ㄐㄧ4" + ], + "𥭐": [ + "ㄌㄩ4" + ], + "𥭑": [ + "ㄑㄧㄡ2" + ], + "𥭒": [ + "ㄉㄨㄣ4" + ], + "𥭓": [ + "ㄅㄠ2" + ], + "𥭔": [ + "ㄔㄢ1" + ], + "𥭖": [ + "ㄅㄛ2" + ], + "𥭘": [ + "ㄔ1" + ], + "𥭙": [ + "ㄓㄜ4", + "ㄋㄧㄝ4" + ], + "𥭚": [ + "ㄇㄤ4" + ], + "𥭜": [ + "ㄐㄧ4" + ], + "𥭝": [ + "ㄇㄧㄠ4" + ], + "𥭞": [ + "ㄩㄢ4" + ], + "𥭠": [ + "ㄨ2" + ], + "𥭡": [ + "ㄓ4" + ], + "𥭢": [ + "ㄆㄧㄥ1" + ], + "𥭥": [ + "ㄔㄨㄥ1" + ], + "𥭫": [ + "ㄇㄧ2" + ], + "𥭬": [ + "ㄈㄟ2" + ], + "𥭭": [ + "ㄘㄨㄛ1" + ], + "𥭮": [ + "ㄇㄥ2" + ], + "𥮍": [ + "ㄧㄣ2" + ], + "𥮎": [ + "ㄇㄤ3" + ], + "𥮏": [ + "ㄉㄧㄢ3" + ], + "𥮐": [ + "ㄉㄧㄠ1" + ], + "𥮒": [ + "ㄑㄧㄢ2", + "ㄓㄢ1" + ], + "𥮕": [ + "ㄏㄤ4" + ], + "𥮖": [ + "ㄓ2" + ], + "𥮗": [ + "ㄐㄩ2" + ], + "𥮘": [ + "ㄋㄧㄢ4" + ], + "𥮜": [ + "ㄇㄧ2" + ], + "𥮝": [ + "ㄍㄨ3" + ], + "𥮣": [ + "ㄓㄨㄚ1" + ], + "𥮤": [ + "ㄋㄧㄝ4" + ], + "𥮥": [ + "ㄓㄨㄛ2" + ], + "𥮧": [ + "ㄧㄝ4" + ], + "𥮨": [ + "ㄘㄨㄥ4" + ], + "𥮪": [ + "ㄒㄩ1", + "ㄐㄧ2" + ], + "𥮬": [ + "ㄒㄧ4" + ], + "𥮯": [ + "ㄅㄛ1" + ], + "𥮾": [ + "ㄘㄢ3", + "ㄗㄢ1" + ], + "𥯃": [ + "ㄧㄢ3" + ], + "𥯑": [ + "ㄐㄧㄣ3" + ], + "𥯔": [ + "ㄐㄩ3" + ], + "𥯕": [ + "ㄉㄤ4" + ], + "𥯖": [ + "ㄉㄨ4" + ], + "𥯘": [ + "ㄧㄝ2" + ], + "𥯙": [ + "ㄐㄧㄥ4" + ], + "𥯚": [ + "ㄎㄜ4" + ], + "𥯛": [ + "ㄌㄨㄛ4" + ], + "𥯜": [ + "ㄨㄟ3" + ], + "𥯝": [ + "ㄊㄨ1" + ], + "𥯞": [ + "ㄧㄡ2" + ], + "𥯟": [ + "ㄆㄞ4" + ], + "𥯡": [ + "ㄆㄧ2" + ], + "𥯢": [ + "ㄉㄧㄥ4" + ], + "𥯤": [ + "ㄨㄟ3" + ], + "𥯥": [ + "ㄔㄜ4" + ], + "𥯦": [ + "ㄐㄧㄢ4", + "ㄕㄚ4" + ], + "𥯨": [ + "ㄙ1" + ], + "𥯩": [ + "ㄓㄨㄛ2" + ], + "𥯪": [ + "ㄙㄡ4" + ], + "𥯬": [ + "ㄖㄨㄢ3" + ], + "𥯮": [ + "ㄩ2" + ], + "𥯳": [ + "ㄜ4" + ], + "𥯶": [ + "ㄎㄨ3" + ], + "𥯸": [ + "ㄓㄨ4" + ], + "𥯾": [ + "ㄒㄧㄚ2" + ], + "𥰛": [ + "ㄈㄨ2" + ], + "𥰜": [ + "ㄊㄠ2" + ], + "𥰝": [ + "ㄒㄧ1" + ], + "𥰞": [ + "ㄔㄡ1", + "ㄙㄡ3" + ], + "𥰟": [ + "ㄩㄢ2" + ], + "𥰠": [ + "ㄌㄩ2" + ], + "𥰡": [ + "ㄘㄜ4" + ], + "𥰢": [ + "ㄕㄢ4" + ], + "𥰣": [ + "ㄌㄧㄡ2" + ], + "𥰥": [ + "ㄒㄧ4" + ], + "𥰦": [ + "ㄐㄧ1" + ], + "𥰧": [ + "ㄧ3" + ], + "𥰨": [ + "ㄊㄢ2" + ], + "𥰪": [ + "ㄏㄨ2" + ], + "𥰭": [ + "ㄘㄨㄛ1", + "ㄓㄚ3", + "ㄘ1" + ], + "𥰮": [ + "ㄍㄜ3" + ], + "𥰰": [ + "ㄕ4", + "ㄕㄜ2" + ], + "𥰱": [ + "ㄙㄠ1" + ], + "𥰲": [ + "ㄏㄨㄥ4" + ], + "𥰳": [ + "ㄒㄧㄢ4" + ], + "𥰶": [ + "ㄒㄧㄚ2" + ], + "𥰻": [ + "ㄇㄨ4" + ], + "𥰼": [ + "ㄙㄨㄛ3" + ], + "𥰾": [ + "ㄓㄞ4" + ], + "𥱀": [ + "ㄈㄨ1" + ], + "𥱁": [ + "ㄙㄜ4" + ], + "𥱂": [ + "ㄋㄨ2" + ], + "𥱃": [ + "ㄧ4" + ], + "𥱧": [ + "ㄑㄧㄣ2" + ], + "𥱨": [ + "ㄑㄧㄥ4" + ], + "𥱵": [ + "ㄏㄨㄟ4", + "ㄙㄨㄟ4", + "ㄒㄧ2" + ], + "𥱶": [ + "ㄕㄨㄤ3" + ], + "𥱷": [ + "ㄉㄢ3" + ], + "𥱸": [ + "ㄡ1" + ], + "𥱹": [ + "ㄇㄛ4" + ], + "𥱺": [ + "ㄑㄧㄢ1" + ], + "𥱻": [ + "ㄔ4", + "ㄊㄨ2" + ], + "𥱼": [ + "ㄆㄞ2", + "ㄆㄧ4" + ], + "𥱽": [ + "ㄐㄩㄢ4" + ], + "𥲀": [ + "ㄔㄠ2" + ], + "𥲁": [ + "ㄌㄧㄝ4" + ], + "𥲂": [ + "ㄅㄧㄥ1" + ], + "𥲃": [ + "ㄎㄡ4" + ], + "𥲄": [ + "ㄉㄢ4" + ], + "𥲅": [ + "ㄔㄡ2" + ], + "𥲆": [ + "ㄊㄨㄥ1" + ], + "𥲇": [ + "ㄉㄢ4" + ], + "𥲈": [ + "ㄇㄢ3" + ], + "𥲉": [ + "ㄏㄨ4" + ], + "𥲊": [ + "ㄌㄧㄠ2" + ], + "𥲋": [ + "ㄒㄧㄢ2" + ], + "𥲍": [ + "ㄘㄠ2" + ], + "𥲎": [ + "ㄌㄨ4" + ], + "𥲏": [ + "ㄔㄨㄢ4" + ], + "𥲐": [ + "ㄨ2" + ], + "𥲑": [ + "ㄇㄢ2" + ], + "𥲕": [ + "ㄗ3" + ], + "𥲗": [ + "ㄉㄨ4" + ], + "𥲚": [ + "ㄕㄨㄤ4" + ], + "𥲛": [ + "ㄈㄨ4" + ], + "𥲜": [ + "ㄐㄩ4" + ], + "𥲝": [ + "ㄓㄡ4" + ], + "𥲟": [ + "ㄉㄧㄠ4" + ], + "𥲠": [ + "ㄨㄤ4" + ], + "𥲡": [ + "ㄔㄨㄤ1" + ], + "𥲢": [ + "ㄑㄧㄢ1" + ], + "𥲣": [ + "ㄊㄨㄟ4" + ], + "𥲥": [ + "ㄌㄧㄢ2" + ], + "𥲦": [ + "ㄅㄧㄠ1" + ], + "𥲧": [ + "ㄌㄧ2" + ], + "𥲪": [ + "ㄌㄧ2" + ], + "𥳆": [ + "ㄅㄧ4" + ], + "𥳇": [ + "ㄈㄨ4" + ], + "𥳈": [ + "ㄘㄨㄟ4" + ], + "𥳉": [ + "ㄉㄨ1" + ], + "𥳋": [ + "ㄗㄢ4", + "ㄗㄢ1" + ], + "𥳌": [ + "ㄌㄨㄥ2" + ], + "𥳍": [ + "ㄒㄩㄣ2" + ], + "𥳎": [ + "ㄑㄩㄥ2" + ], + "𥳏": [ + "ㄐㄧ1" + ], + "𥳐": [ + "ㄑㄧㄢ3" + ], + "𥳒": [ + "ㄐㄧㄢ3" + ], + "𥳓": [ + "ㄕㄠ1" + ], + "𥳔": [ + "ㄉㄨㄛ4" + ], + "𥳕": [ + "ㄕㄨ1" + ], + "𥳖": [ + "ㄅㄨ4" + ], + "𥳗": [ + "ㄒㄩ1" + ], + "𥳘": [ + "ㄉㄨㄥ3" + ], + "𥳚": [ + "ㄖㄢ2" + ], + "𥳜": [ + "ㄧㄤ2" + ], + "𥳝": [ + "ㄖㄨㄟ3" + ], + "𥳞": [ + "ㄌㄧㄣ4" + ], + "𥳟": [ + "ㄐㄧㄢ3" + ], + "𥳠": [ + "ㄉㄧ4" + ], + "𥳡": [ + "ㄈㄣ2" + ], + "𥳢": [ + "ㄉㄧㄢ4" + ], + "𥳣": [ + "ㄗㄨㄟ4" + ], + "𥳥": [ + "ㄋㄧㄥ3" + ], + "𥳪": [ + "ㄙㄨㄢ4" + ], + "𥳫": [ + "ㄊㄧㄢ3" + ], + "𥳬": [ + "ㄢ4" + ], + "𥳯": [ + "ㄘㄜ4" + ], + "𥳰": [ + "ㄉㄧㄥ4" + ], + "𥳱": [ + "ㄕㄣ1" + ], + "𥳲": [ + "ㄉㄨ4" + ], + "𥳳": [ + "ㄊㄧ2" + ], + "𥳴": [ + "ㄐㄧㄠ3" + ], + "𥳵": [ + "ㄗㄨㄟ4" + ], + "𥳶": [ + "ㄓㄤ3" + ], + "𥳷": [ + "ㄐㄧㄢ3" + ], + "𥳸": [ + "ㄉㄢ4" + ], + "𥳹": [ + "ㄉㄢ3" + ], + "𥳺": [ + "ㄙㄨㄥ3" + ], + "𥴐": [ + "ㄓㄢ3" + ], + "𥴑": [ + "ㄊㄧㄥ2" + ], + "𥴒": [ + "ㄓ4" + ], + "𥴕": [ + "ㄧㄡ2" + ], + "𥴖": [ + "ㄆㄞ2" + ], + "𥴡": [ + "ㄌㄧ3" + ], + "𥴤": [ + "ㄑㄧㄢ2" + ], + "𥴦": [ + "ㄙㄨㄟ4", + "ㄉㄧ2" + ], + "𥴧": [ + "ㄐㄩ3" + ], + "𥴨": [ + "ㄞ4" + ], + "𥴩": [ + "ㄍㄜ2" + ], + "𥴪": [ + "ㄐㄩ4" + ], + "𥴫": [ + "ㄊㄨㄣ2", + "ㄉㄧㄢ4" + ], + "𥴬": [ + "ㄅㄧ4" + ], + "𥴭": [ + "ㄑㄧㄚ4" + ], + "𥴮": [ + "ㄅㄛ2" + ], + "𥴯": [ + "ㄏㄨㄟ4" + ], + "𥴱": [ + "ㄐㄧㄢ4" + ], + "𥴴": [ + "ㄍㄡ1" + ], + "𥴵": [ + "ㄙㄨㄢ4" + ], + "𥴺": [ + "ㄘ2" + ], + "𥴻": [ + "ㄑㄧㄤ4" + ], + "𥴿": [ + "ㄧㄢ2" + ], + "𥵏": [ + "ㄉㄧㄢ4" + ], + "𥵒": [ + "ㄇㄧㄝ4" + ], + "𥵜": [ + "ㄆㄛ4" + ], + "𥵝": [ + "ㄌㄧㄥ3" + ], + "𥵞": [ + "ㄐㄧㄝ2" + ], + "𥵟": [ + "ㄓㄨ4" + ], + "𥵠": [ + "ㄍㄨ3" + ], + "𥵣": [ + "ㄉㄨㄢ1" + ], + "𥵤": [ + "ㄓㄠ4" + ], + "𥵦": [ + "ㄕㄠ3" + ], + "𥵧": [ + "ㄑㄧㄣ3" + ], + "𥵨": [ + "ㄇㄧ2" + ], + "𥵪": [ + "ㄆㄧㄥ2" + ], + "𥵫": [ + "ㄘㄨㄥ2" + ], + "𥵬": [ + "ㄔㄡ1" + ], + "𥵯": [ + "ㄙㄚ4" + ], + "𥵶": [ + "ㄊㄧㄢ3" + ], + "𥶅": [ + "ㄌㄧㄡ2" + ], + "𥶆": [ + "ㄌㄩ2" + ], + "𥶇": [ + "ㄌㄨ3" + ], + "𥶈": [ + "ㄗㄡ1" + ], + "𥶌": [ + "ㄌㄩ4" + ], + "𥶍": [ + "ㄏㄨㄢ3" + ], + "𥶏": [ + "ㄊㄧㄠ2" + ], + "𥶐": [ + "ㄊㄨㄟ2" + ], + "𥶑": [ + "ㄑㄧㄤ3" + ], + "𥶒": [ + "ㄌㄧㄣ4" + ], + "𥶓": [ + "ㄅㄟ1" + ], + "𥶔": [ + "ㄆㄠ2" + ], + "𥶕": [ + "ㄓㄢ1" + ], + "𥶗": [ + "ㄌㄧ4" + ], + "𥶛": [ + "ㄊㄧ2" + ], + "𥶜": [ + "ㄏㄨ2" + ], + "𥶢": [ + "ㄌㄧㄝ4" + ], + "𥶵": [ + "ㄏㄨㄟ3" + ], + "𥶶": [ + "ㄑㄩ1" + ], + "𥶷": [ + "ㄒㄩㄢ3" + ], + "𥶹": [ + "ㄐㄧㄥ4" + ], + "𥶺": [ + "ㄉㄧㄝ2" + ], + "𥶻": [ + "ㄙㄨㄟ2" + ], + "𥶽": [ + "ㄨㄟ4" + ], + "𥶿": [ + "ㄧㄢ2" + ], + "𥷀": [ + "ㄧㄢ1" + ], + "𥷁": [ + "ㄅㄢ4" + ], + "𥷃": [ + "ㄐㄧㄤ3" + ], + "𥷄": [ + "ㄋㄧ3" + ], + "𥷅": [ + "ㄌㄧ4" + ], + "𥷆": [ + "ㄏㄨ2" + ], + "𥷇": [ + "ㄑㄧ4" + ], + "𥷈": [ + "ㄓㄨㄥ1" + ], + "𥷑": [ + "ㄅㄧ4" + ], + "𥷔": [ + "ㄩ2" + ], + "𥷕": [ + "ㄉㄧㄝ2" + ], + "𥷖": [ + "ㄌㄧㄣ4" + ], + "𥷗": [ + "ㄌㄧ4" + ], + "𥷘": [ + "ㄓㄨㄛ2" + ], + "𥷙": [ + "ㄐㄧ4" + ], + "𥷚": [ + "ㄐㄩ1" + ], + "𥷜": [ + "ㄈㄥ1" + ], + "𥷞": [ + "ㄩ4" + ], + "𥷨": [ + "ㄌㄧㄝ4" + ], + "𥷩": [ + "ㄗㄚ2" + ], + "𥷪": [ + "ㄑㄧㄢ2" + ], + "𥷫": [ + "ㄐㄧㄝ1" + ], + "𥷬": [ + "ㄍㄨㄢ1" + ], + "𥷮": [ + "ㄓㄨㄛ2", + "ㄓㄠ1" + ], + "𥷱": [ + "ㄈㄨ4" + ], + "𥷹": [ + "ㄙㄜ4" + ], + "𥷼": [ + "ㄘㄨ4" + ], + "𥸃": [ + "ㄏㄨㄟ3" + ], + "𥸈": [ + "ㄉㄤ4" + ], + "𥸉": [ + "ㄌㄨㄥ2" + ], + "𥸊": [ + "ㄧ4" + ], + "𥸗": [ + "ㄙㄚ3" + ], + "𥸘": [ + "ㄩㄝ4" + ], + "𥸚": [ + "ㄉㄧ2" + ], + "𥸡": [ + "ㄍㄢ3" + ], + "𥸢": [ + "ㄗㄢ1" + ], + "𥸣": [ + "ㄕㄢ4" + ], + "𥸤": [ + "ㄩ4" + ], + "𥸥": [ + "ㄅㄛ3" + ], + "𥸧": [ + "ㄉㄧㄥ4" + ], + "𥸨": [ + "ㄈㄢ2", + "ㄅㄛ3", + "ㄅㄨ3" + ], + "𥸪": [ + "ㄩ4" + ], + "𥸬": [ + "ㄕㄣ1" + ], + "𥸲": [ + "ㄍㄨㄥ1" + ], + "𥸴": [ + "ㄇㄧㄝ4" + ], + "𥸵": [ + "ㄊㄨㄣ2" + ], + "𥸸": [ + "ㄌㄧㄝ4" + ], + "𥹁": [ + "ㄓㄚ1", + "ㄗㄨㄛ4" + ], + "𥹂": [ + "ㄆㄟ1" + ], + "𥹄": [ + "ㄇㄧ2" + ], + "𥹆": [ + "ㄇㄧㄥ2" + ], + "𥹇": [ + "ㄈㄢ4" + ], + "𥹉": [ + "ㄋㄚ4" + ], + "𥹊": [ + "ㄙ4" + ], + "𥹋": [ + "ㄧ2" + ], + "𥹌": [ + "ㄐㄧㄚ1" + ], + "𥹍": [ + "ㄓㄨ4" + ], + "𥹓": [ + "ㄅㄢ1" + ], + "𥹔": [ + "ㄩ4" + ], + "𥹖": [ + "ㄆㄛ3" + ], + "𥹚": [ + "ㄏㄨㄢ1" + ], + "𥹛": [ + "ㄘㄢ4" + ], + "𥹜": [ + "ㄐㄧㄠ1" + ], + "𥹠": [ + "ㄊㄢ2" + ], + "𥹩": [ + "ㄓ4" + ], + "𥹫": [ + "ㄇㄧ3" + ], + "𥹬": [ + "ㄎㄠ3" + ], + "𥹱": [ + "ㄧㄠ1" + ], + "𥹲": [ + "ㄉㄨㄟ4" + ], + "𥹳": [ + "ㄑㄩㄢ3", + "ㄏㄨㄢ2" + ], + "𥹴": [ + "ㄅㄨ4" + ], + "𥹵": [ + "ㄔㄨ4" + ], + "𥹶": [ + "ㄑㄧㄠ3" + ], + "𥹷": [ + "ㄌㄧㄡ2" + ], + "𥹸": [ + "ㄅㄛ2" + ], + "𥹺": [ + "ㄎㄤ1" + ], + "𥹻": [ + "ㄈㄣ4" + ], + "𥺅": [ + "ㄉㄠ4" + ], + "𥺉": [ + "ㄉㄡ4" + ], + "𥺊": [ + "ㄍㄜ2" + ], + "𥺙": [ + "ㄌㄧㄥ2" + ], + "𥺚": [ + "ㄒㄧ2" + ], + "𥺜": [ + "ㄋㄧ4" + ], + "𥺝": [ + "ㄓㄡ1" + ], + "𥺞": [ + "ㄓㄡ1", + "ㄩ4" + ], + "𥺣": [ + "ㄔㄡ1" + ], + "𥺴": [ + "ㄋㄧㄢ1" + ], + "𥺵": [ + "ㄐㄧ1" + ], + "𥺷": [ + "ㄑㄩ1" + ], + "𥻄": [ + "ㄎㄞ1" + ], + "𥻇": [ + "ㄒㄧㄢ4" + ], + "𥻉": [ + "ㄏㄜ2" + ], + "𥻋": [ + "ㄌㄧㄣ2" + ], + "𥻍": [ + "ㄗ1" + ], + "𥻑": [ + "ㄡ3", + "ㄌㄧ4" + ], + "𥻒": [ + "ㄘㄨ4", + "ㄇㄧ4" + ], + "𥻗": [ + "ㄔㄚ2" + ], + "𥻝": [ + "ㄓㄨㄥ4" + ], + "𥻞": [ + "ㄅㄨ2" + ], + "𥻤": [ + "ㄔㄡ1" + ], + "𥻥": [ + "ㄒㄧ4" + ], + "𥻦": [ + "ㄙㄚ4" + ], + "𥻧": [ + "ㄒㄧㄢ2", + "ㄐㄧㄢ1" + ], + "𥻨": [ + "ㄙㄜ4" + ], + "𥻩": [ + "ㄇㄧㄢ4" + ], + "𥻫": [ + "ㄈㄢ2" + ], + "𥻬": [ + "ㄓ1" + ], + "𥻮": [ + "ㄘㄨㄟ4" + ], + "𥻴": [ + "ㄒㄧㄚ4" + ], + "𥻾": [ + "ㄋㄨㄛ4" + ], + "𥻿": [ + "ㄌㄧ2" + ], + "𥼀": [ + "ㄗㄨ2" + ], + "𥼂": [ + "ㄘㄨㄟ1" + ], + "𥼃": [ + "ㄗㄜ2" + ], + "𥼅": [ + "ㄌㄧ2" + ], + "𥼘": [ + "ㄑㄧ2" + ], + "𥼚": [ + "ㄓㄨㄛ1" + ], + "𥼛": [ + "ㄘㄨㄟ4" + ], + "𥼜": [ + "ㄆㄨ1" + ], + "𥼞": [ + "ㄈㄢ2" + ], + "𥼟": [ + "ㄊㄢ2" + ], + "𥼩": [ + "ㄗ1" + ], + "𥼪": [ + "ㄗㄨ3" + ], + "𥼫": [ + "ㄓㄡ1" + ], + "𥼬": [ + "ㄖㄨㄥ2" + ], + "𥼭": [ + "ㄌㄧㄣ2" + ], + "𥼮": [ + "ㄊㄢ2" + ], + "𥼶": [ + "ㄕ4" + ], + "𥼺": [ + "ㄘㄨㄟ3" + ], + "𥼻": [ + "ㄗ1" + ], + "𥼼": [ + "ㄈㄨ1" + ], + "𥽁": [ + "ㄒㄧㄠ4" + ], + "𥽈": [ + "ㄈㄥ1", + "ㄌㄧ3" + ], + "𥽏": [ + "ㄒㄧㄢ4" + ], + "𥽐": [ + "ㄐㄧㄢ4" + ], + "𥽒": [ + "ㄈㄣ4" + ], + "𥽗": [ + "ㄌㄧ4" + ], + "𥽘": [ + "ㄇㄛ4", + "ㄇㄧㄝ4" + ], + "𥽟": [ + "ㄧㄡ1" + ], + "𥽥": [ + "ㄏㄨㄛ4" + ], + "𥽧": [ + "ㄑㄩ1" + ], + "𥽬": [ + "ㄋㄧㄤ4" + ], + "𥽰": [ + "ㄇㄧ2" + ], + "𥽳": [ + "ㄑㄧ4" + ], + "𥽶": [ + "ㄏㄜ2" + ], + "𥽸": [ + "ㄌㄧㄢ4" + ], + "𥽿": [ + "ㄗㄨㄛ4" + ], + "𥾂": [ + "ㄌㄧㄥ2" + ], + "𥾅": [ + "ㄓㄨ2" + ], + "𥾇": [ + "ㄋㄧㄠ3" + ], + "𥾊": [ + "ㄐㄧ3" + ], + "𥾋": [ + "ㄖㄥ2" + ], + "𥾌": [ + "ㄐㄧㄝ2" + ], + "𥾍": [ + "ㄍㄢ3" + ], + "𥾐": [ + "ㄧ4" + ], + "𥾓": [ + "ㄓㄡ2" + ], + "𥾕": [ + "ㄨ4" + ], + "𥾚": [ + "ㄍㄥ3", + "ㄉㄢ3" + ], + "𥾛": [ + "ㄘㄨ4" + ], + "𥾝": [ + "ㄇㄧㄝ4", + "ㄇㄧㄢ3" + ], + "𥾡": [ + "ㄒㄩㄣ2", + "ㄐㄧ1" + ], + "𥾣": [ + "ㄓ1" + ], + "𥾤": [ + "ㄒㄧㄠ2" + ], + "𥾧": [ + "ㄈㄨ2" + ], + "𥾨": [ + "ㄏㄨ2" + ], + "𥾬": [ + "ㄉㄧ1" + ], + "𥾮": [ + "ㄐㄩㄝ2" + ], + "𥾯": [ + "ㄉㄧㄠ4" + ], + "𥾹": [ + "ㄕㄡ3" + ], + "𥾼": [ + "ㄨㄤ3" + ], + "𥿃": [ + "ㄋㄚ4" + ], + "𥿄": [ + "ㄉㄧ1" + ], + "𥿅": [ + "ㄕ4" + ], + "𥿆": [ + "ㄘ2" + ], + "𥿇": [ + "ㄕㄨ1" + ], + "𥿉": [ + "ㄨㄚ4", + "ㄇㄛ4" + ], + "𥿊": [ + "ㄔㄜ4" + ], + "𥿋": [ + "ㄈㄢ2", + "ㄅㄧㄢ4" + ], + "𥿍": [ + "ㄍㄨ1" + ], + "𥿎": [ + "ㄩㄢ1", + "ㄨㄢ3" + ], + "𥿑": [ + "ㄍㄨㄢ1", + "ㄌㄨㄣ2" + ], + "𥿚": [ + "ㄑㄧㄝ4" + ], + "𥿜": [ + "ㄓㄢ3", + "ㄓㄣ3" + ], + "𥿝": [ + "ㄉㄞ4" + ], + "𥿞": [ + "ㄕㄜ1" + ], + "𥿦": [ + "ㄓㄡ1" + ], + "𥿧": [ + "ㄒㄧㄤ3" + ], + "𥿨": [ + "ㄇㄧㄥ2" + ], + "𥿩": [ + "ㄗ4" + ], + "𥿪": [ + "ㄏㄨㄤ1" + ], + "𥿫": [ + "ㄇㄧ2", + "ㄧ4", + "ㄨㄟ4" + ], + "𥿭": [ + "ㄒㄧ4" + ], + "𥿮": [ + "ㄓ4", + "ㄕ4" + ], + "𥿯": [ + "ㄆㄞ4" + ], + "𥿰": [ + "ㄉㄨㄛ3" + ], + "𥿴": [ + "ㄘ4" + ], + "𥿵": [ + "ㄇㄡ2" + ], + "𥿷": [ + "ㄔㄠ4" + ], + "𥿹": [ + "ㄧ4" + ], + "𥿺": [ + "ㄍㄡ1" + ], + "𦀇": [ + "ㄐㄧㄥ1" + ], + "𦀓": [ + "ㄗㄥ1", + "ㄐㄧㄝ1" + ], + "𦀔": [ + "ㄆㄧㄥ1" + ], + "𦀕": [ + "ㄧㄝ4" + ], + "𦀖": [ + "ㄐㄧㄝ2" + ], + "𦀘": [ + "ㄆㄧ1", + "ㄅㄧ1" + ], + "𦀛": [ + "ㄕㄚ1" + ], + "𦀜": [ + "ㄓㄨㄤ4" + ], + "𦀝": [ + "ㄐㄩㄥ3" + ], + "𦀠": [ + "ㄌㄧㄡ2" + ], + "𦀡": [ + "ㄩ3" + ], + "𦀣": [ + "ㄐㄩ1" + ], + "𦀨": [ + "ㄋㄨㄛ4" + ], + "𦀸": [ + "ㄇㄠ4" + ], + "𦁄": [ + "ㄔㄣ1" + ], + "𦁆": [ + "ㄓㄨㄢ4", + "ㄐㄩㄢ4", + "ㄕㄨㄢ4" + ], + "𦁇": [ + "ㄋㄧㄢ4" + ], + "𦁈": [ + "ㄎㄨㄥ4" + ], + "𦁉": [ + "ㄐㄧㄝ1" + ], + "𦁊": [ + "ㄏㄨㄚ4" + ], + "𦁍": [ + "ㄒㄧㄣ1" + ], + "𦁎": [ + "ㄗㄨㄛ2" + ], + "𦁏": [ + "ㄧㄢ4" + ], + "𦁐": [ + "ㄐㄩㄝ2" + ], + "𦁕": [ + "ㄏㄨ1" + ], + "𦁖": [ + "ㄓㄡ4" + ], + "𦁗": [ + "ㄕㄜ4" + ], + "𦁙": [ + "ㄧㄢ3" + ], + "𦁛": [ + "ㄒㄧㄝ4", + "ㄉㄧㄝ2" + ], + "𦁜": [ + "ㄉㄧㄝ2" + ], + "𦁟": [ + "ㄔㄣ1", + "ㄔㄣ2", + "ㄓㄣ3" + ], + "𦁲": [ + "ㄐㄧㄢ3" + ], + "𦁳": [ + "ㄐㄧ4" + ], + "𦁶": [ + "ㄔㄨㄛ4" + ], + "𦁷": [ + "ㄏㄨㄥ2" + ], + "𦂀": [ + "ㄉㄚ2" + ], + "𦂄": [ + "ㄎㄞ1" + ], + "𦂅": [ + "ㄒㄧㄥ1", + "ㄒㄧ3" + ], + "𦂆": [ + "ㄏㄨㄟ4" + ], + "𦂇": [ + "ㄐㄧㄢ3" + ], + "𦂈": [ + "ㄓㄡ4" + ], + "𦂉": [ + "ㄓㄚ3" + ], + "𦂊": [ + "ㄈㄨ4" + ], + "𦂋": [ + "ㄔ4" + ], + "𦂌": [ + "ㄅㄥ3" + ], + "𦂍": [ + "ㄋㄨㄛ4" + ], + "𦂑": [ + "ㄐㄧ4" + ], + "𦂒": [ + "ㄑㄧㄢ2" + ], + "𦂔": [ + "ㄨㄢ4" + ], + "𦂕": [ + "ㄡ2" + ], + "𦂖": [ + "ㄅㄧ4" + ], + "𦂗": [ + "ㄕㄨㄛ4" + ], + "𦂠": [ + "ㄐㄧㄥ1" + ], + "𦂡": [ + "ㄧㄝ4" + ], + "𦃄": [ + "ㄈㄟ3" + ], + "𦃇": [ + "ㄌㄧ2" + ], + "𦃊": [ + "ㄌㄧ4" + ], + "𦃋": [ + "ㄆㄧ2" + ], + "𦃒": [ + "ㄙㄨㄟ4" + ], + "𦃓": [ + "ㄌㄧㄡ2" + ], + "𦃔": [ + "ㄏㄜ2" + ], + "𦃕": [ + "ㄏㄨㄣ3" + ], + "𦃖": [ + "ㄊㄢ3" + ], + "𦃗": [ + "ㄕㄨㄛ4" + ], + "𦃘": [ + "ㄓ4" + ], + "𦃙": [ + "ㄅㄛ2" + ], + "𦃝": [ + "ㄒㄧ4" + ], + "𦃡": [ + "ㄆㄛ2", + "ㄊㄠ1" + ], + "𦃢": [ + "ㄑㄩㄣ3" + ], + "𦃤": [ + "ㄇㄨ4" + ], + "𦃽": [ + "ㄩㄥ1" + ], + "𦄂": [ + "ㄉㄞ4" + ], + "𦄊": [ + "ㄑㄧ3" + ], + "𦄋": [ + "ㄉㄧㄠ3" + ], + "𦄌": [ + "ㄋㄧㄝ4" + ], + "𦄍": [ + "ㄕㄨㄤ3" + ], + "𦄏": [ + "ㄕㄠ1" + ], + "𦄐": [ + "ㄎㄨㄣ3", + "ㄇㄧ2" + ], + "𦄑": [ + "ㄙㄨㄟ4" + ], + "𦄓": [ + "ㄉㄡ1" + ], + "𦄔": [ + "ㄉㄧㄝ2" + ], + "𦄜": [ + "ㄍㄨㄥ1" + ], + "𦄯": [ + "ㄓㄨㄢ3" + ], + "𦄰": [ + "ㄍㄨㄛ2" + ], + "𦄼": [ + "ㄒㄩ1" + ], + "𦄽": [ + "ㄑㄩ2" + ], + "𦅀": [ + "ㄒㄩㄣ2" + ], + "𦅃": [ + "ㄐㄧㄠ1", + "ㄑㄧㄠ1" + ], + "𦅄": [ + "ㄓㄜ2" + ], + "𦅆": [ + "ㄉㄧㄢ4" + ], + "𦅇": [ + "ㄙㄤ1" + ], + "𦅈": [ + "ㄅㄥ1" + ], + "𦅊": [ + "ㄙㄨㄛ3" + ], + "𦅋": [ + "ㄑㄧㄢ3" + ], + "𦅏": [ + "ㄒㄩ1" + ], + "𦅑": [ + "ㄒㄩㄣ2" + ], + "𦅔": [ + "ㄇㄛ4" + ], + "𦅵": [ + "ㄙㄨㄟ4" + ], + "𦅶": [ + "ㄌㄚ4", + "ㄌㄧㄝ4" + ], + "𦅷": [ + "ㄓㄨ3", + "ㄓㄨ4" + ], + "𦅸": [ + "ㄓㄡ4" + ], + "𦅺": [ + "ㄌㄧ4" + ], + "𦅼": [ + "ㄉㄢ1" + ], + "𦅽": [ + "ㄐㄩ2" + ], + "𦅿": [ + "ㄩㄣ4" + ], + "𦆀": [ + "ㄔㄢ3" + ], + "𦆁": [ + "ㄌㄨㄛ2" + ], + "𦆄": [ + "ㄙㄜ4" + ], + "𦆆": [ + "ㄌㄧㄢ2" + ], + "𦆈": [ + "ㄗㄨㄢ3", + "ㄗㄨㄟ2" + ], + "𦆋": [ + "ㄌㄞ4" + ], + "𦆌": [ + "ㄕㄨㄤ3" + ], + "𦆍": [ + "ㄑㄧㄝ4" + ], + "𦆘": [ + "ㄉㄡ1" + ], + "𦆞": [ + "ㄨ4" + ], + "𦆟": [ + "ㄇㄥ2" + ], + "𦆡": [ + "ㄐㄧ4" + ], + "𦆤": [ + "ㄔ1" + ], + "𦆦": [ + "ㄋㄧ3" + ], + "𦆸": [ + "ㄧㄠ2" + ], + "𦆻": [ + "ㄌㄚ4" + ], + "𦆾": [ + "ㄌㄩ4" + ], + "𦇀": [ + "ㄙㄨㄟ4" + ], + "𦇁": [ + "ㄈㄨ1" + ], + "𦇄": [ + "ㄌㄟ3" + ], + "𦇅": [ + "ㄨㄟ3" + ], + "𦇎": [ + "ㄘㄨㄥ1" + ], + "𦇔": [ + "ㄌㄧ4" + ], + "𦇖": [ + "ㄆㄧㄣ2" + ], + "𦇘": [ + "ㄐㄩㄣ1" + ], + "𦇙": [ + "ㄐㄩ3" + ], + "𦇛": [ + "ㄌㄚ4" + ], + "𦇧": [ + "ㄐㄧ4" + ], + "𦇪": [ + "ㄇㄧㄝ4" + ], + "𦇬": [ + "ㄧㄠ4" + ], + "𦇭": [ + "ㄅㄧㄢ1" + ], + "𦇱": [ + "ㄘㄨㄥ2" + ], + "𦇲": [ + "ㄙ1", + "ㄔ1" + ], + "𦇵": [ + "ㄙ1" + ], + "𦇸": [ + "ㄏㄜ2" + ], + "𦈃": [ + "ㄋㄤ4" + ], + "𦈅": [ + "ㄉㄧㄝ2" + ], + "𦈈": [ + "ㄔㄜ4" + ], + "𦈉": [ + "ㄩㄣ4" + ], + "𦈋": [ + "ㄒㄧㄡ3" + ], + "𦈌": [ + "ㄕㄨ1" + ], + "𦈎": [ + "ㄔㄢ3" + ], + "𦈏": [ + "ㄇㄧㄣ2" + ], + "𦈐": [ + "ㄌㄧㄢ2" + ], + "𦈑": [ + "ㄧㄣ1" + ], + "𦈒": [ + "ㄒㄧㄥ1" + ], + "𦈓": [ + "ㄨㄟ1" + ], + "𦈔": [ + "ㄍㄨ3" + ], + "𦈕": [ + "ㄊㄡ2" + ], + "𦈖": [ + "ㄊㄚ1" + ], + "𦈗": [ + "ㄈㄟ3" + ], + "𦈘": [ + "ㄉㄚ1" + ], + "𦈙": [ + "ㄋㄧㄝ4" + ], + "𦈚": [ + "ㄘㄨ4" + ], + "𦈛": [ + "ㄗㄨㄛ3" + ], + "𦈜": [ + "ㄐㄧㄝ2" + ], + "𦈝": [ + "ㄒㄩㄢ4" + ], + "𦈞": [ + "ㄅㄛ2" + ], + "𦈟": [ + "ㄐㄧㄣ1" + ], + "𦈠": [ + "ㄧㄣ3" + ], + "𦈡": [ + "ㄒㄩ1" + ], + "𦈣": [ + "ㄩ2" + ], + "𦈤": [ + "ㄒㄩㄥ4" + ], + "𦈦": [ + "ㄑㄧ4" + ], + "𦈧": [ + "ㄅㄟ1" + ], + "𦈨": [ + "ㄒㄧㄥ2" + ], + "𦈩": [ + "ㄍㄨㄥ3" + ], + "𦈬": [ + "ㄗㄨㄟ3" + ], + "𦈰": [ + "ㄐㄧㄝ1" + ], + "𦈲": [ + "ㄎㄞ1", + "ㄍㄨ3" + ], + "𦈵": [ + "ㄒㄧㄥ2" + ], + "𦈶": [ + "ㄅㄟ1" + ], + "𦈷": [ + "ㄕㄨ1" + ], + "𦈸": [ + "ㄩ4" + ], + "𦈺": [ + "ㄓㄡ3" + ], + "𦈻": [ + "ㄓㄢ3" + ], + "𦉂": [ + "ㄓㄨㄥ1" + ], + "𦉆": [ + "ㄔㄚ2" + ], + "𦉈": [ + "ㄔㄨㄟ2" + ], + "𦉉": [ + "ㄌㄧㄡ4" + ], + "𦉎": [ + "ㄙㄨㄟ1" + ], + "𦉐": [ + "ㄓㄨ3" + ], + "𦉙": [ + "ㄅㄧㄢ4" + ], + "𦉝": [ + "ㄒㄧㄣ4" + ], + "𦉟": [ + "ㄧㄚ4" + ], + "𦉢": [ + "ㄌㄧㄥ2" + ], + "𦉧": [ + "ㄧㄚ4" + ], + "𦉬": [ + "ㄊㄧㄥ1" + ], + "𦉹": [ + "ㄉㄧ2" + ], + "𦊁": [ + "ㄆㄧ2" + ], + "𦊂": [ + "ㄏㄨ4" + ], + "𦊃": [ + "ㄘㄣ2" + ], + "𦊊": [ + "ㄊㄧㄢ1" + ], + "𦊋": [ + "ㄇㄡ3" + ], + "𦊌": [ + "ㄐㄩㄢ3" + ], + "𦊎": [ + "ㄇㄡ3" + ], + "𦊐": [ + "ㄐㄩ4" + ], + "𦊑": [ + "ㄌㄧㄡ3" + ], + "𦊓": [ + "ㄌㄧㄥ3" + ], + "𦊗": [ + "ㄌㄧㄡ3" + ], + "𦊘": [ + "ㄏㄨ4" + ], + "𦊦": [ + "ㄈㄨ2" + ], + "𦊧": [ + "ㄏㄨ2" + ], + "𦊪": [ + "ㄜ4" + ], + "𦊫": [ + "ㄍㄨㄥ1" + ], + "𦊬": [ + "ㄍㄨ1" + ], + "𦊱": [ + "ㄍㄨㄚ4" + ], + "𦊹": [ + "ㄌㄩㄝ4" + ], + "𦊻": [ + "ㄈㄢ2" + ], + "𦊼": [ + "ㄌㄩ4" + ], + "𦊽": [ + "ㄇㄥ2" + ], + "𦊾": [ + "ㄈㄨ2" + ], + "𦊿": [ + "ㄌㄧㄡ2" + ], + "𦋅": [ + "ㄒㄧㄝ2" + ], + "𦋆": [ + "ㄍㄨ1" + ], + "𦋈": [ + "ㄒㄧㄢ4" + ], + "𦋉": [ + "ㄅㄛ2" + ], + "𦋋": [ + "ㄐㄧ4" + ], + "𦋓": [ + "ㄑㄩㄢ1" + ], + "𦋔": [ + "ㄌㄨ4" + ], + "𦋞": [ + "ㄕㄨㄛ4" + ], + "𦋡": [ + "ㄇㄡ3" + ], + "𦋢": [ + "ㄩ4" + ], + "𦋣": [ + "ㄏㄢ4" + ], + "𦋩": [ + "ㄩㄝ4" + ], + "𦋪": [ + "ㄉㄢ4" + ], + "𦋯": [ + "ㄩ2" + ], + "𦋰": [ + "ㄐㄧㄢ1" + ], + "𦋳": [ + "ㄍㄤ1" + ], + "𦋿": [ + "ㄘㄠ2" + ], + "𦌀": [ + "ㄕㄣ4" + ], + "𦌁": [ + "ㄌㄧㄡ3", + "ㄌㄡ2" + ], + "𦌆": [ + "ㄐㄧㄠ1" + ], + "𦌉": [ + "ㄙㄨ4" + ], + "𦌊": [ + "ㄙㄨ4" + ], + "𦌋": [ + "ㄓㄨㄥ4" + ], + "𦌒": [ + "ㄌㄧㄠ4" + ], + "𦌔": [ + "ㄒㄩㄢ3" + ], + "𦌕": [ + "ㄌㄨ4" + ], + "𦌗": [ + "ㄐㄧ4" + ], + "𦌚": [ + "ㄧㄢ2" + ], + "𦌟": [ + "ㄌㄨ4" + ], + "𦌡": [ + "ㄇㄧㄣ3" + ], + "𦌢": [ + "ㄊㄧ2" + ], + "𦌦": [ + "ㄏㄨㄢ4" + ], + "𦌩": [ + "ㄧ4" + ], + "𦌪": [ + "ㄊㄢ3" + ], + "𦌬": [ + "ㄨ3", + "ㄨ2" + ], + "𦌰": [ + "ㄐㄧ1" + ], + "𦌷": [ + "ㄉㄨ2" + ], + "𦌸": [ + "ㄎㄨㄣ1" + ], + "𦌺": [ + "ㄐㄩㄣ1" + ], + "𦌿": [ + "ㄕ1" + ], + "𦍀": [ + "ㄋㄢ4" + ], + "𦍁": [ + "ㄆㄛ4" + ], + "𦍄": [ + "ㄕㄨ1" + ], + "𦍅": [ + "ㄑㄩㄢ4" + ], + "𦍌": [ + "ㄖㄣ4" + ], + "𦍏": [ + "ㄈㄣ2" + ], + "𦍒": [ + "ㄊㄚ4" + ], + "𦍓": [ + "ㄊㄨㄣ2" + ], + "𦍕": [ + "ㄧㄤ2" + ], + "𦍦": [ + "ㄉㄨㄛ1" + ], + "𦍧": [ + "ㄘ1" + ], + "𦍩": [ + "ㄍㄨ3" + ], + "𦍪": [ + "ㄈㄣ2" + ], + "𦍭": [ + "ㄖㄡ2" + ], + "𦍱": [ + "ㄍㄠ1" + ], + "𦍲": [ + "ㄒㄧㄤ2", + "ㄧㄤ4" + ], + "𦍴": [ + "ㄒㄧㄤ2" + ], + "𦍵": [ + "ㄏㄡ3" + ], + "𦍷": [ + "ㄊㄠ1" + ], + "𦍸": [ + "ㄕㄢ4" + ], + "𦍹": [ + "ㄧㄤ2" + ], + "𦍺": [ + "ㄗ4" + ], + "𦍼": [ + "ㄩㄢ2" + ], + "𦎄": [ + "ㄙㄨ2" + ], + "𦎇": [ + "ㄔㄨㄢ4" + ], + "𦎈": [ + "ㄒㄧㄤ2", + "ㄒㄧㄝ4" + ], + "𦎊": [ + "ㄅㄢ1" + ], + "𦎌": [ + "ㄇㄢ3" + ], + "𦎎": [ + "ㄈㄨ3" + ], + "𦎏": [ + "ㄌㄚ3" + ], + "𦎐": [ + "ㄌㄧ3" + ], + "𦎒": [ + "ㄐㄧㄝ2" + ], + "𦎓": [ + "ㄧㄡ1" + ], + "𦎘": [ + "ㄩ4" + ], + "𦎚": [ + "ㄔ4" + ], + "𦎜": [ + "ㄔㄨㄢ4" + ], + "𦎝": [ + "ㄧ4" + ], + "𦎞": [ + "ㄕㄢ1" + ], + "𦎢": [ + "ㄐㄧ2" + ], + "𦎣": [ + "ㄧㄢ1" + ], + "𦎦": [ + "ㄨ4" + ], + "𦎧": [ + "ㄔㄨㄣ2", + "ㄉㄨㄣ1", + "ㄉㄨㄣ4" + ], + "𦎨": [ + "ㄇㄤ2" + ], + "𦎭": [ + "ㄈㄨ2" + ], + "𦎮": [ + "ㄐㄧㄚ1" + ], + "𦎯": [ + "ㄍㄡ4" + ], + "𦎰": [ + "ㄍㄨ2" + ], + "𦎱": [ + "ㄐㄧㄚ2" + ], + "𦎵": [ + "ㄒㄧㄢ2" + ], + "𦎷": [ + "ㄐㄧㄣ4" + ], + "𦎸": [ + "ㄗ4" + ], + "𦎹": [ + "ㄌㄡ2" + ], + "𦎼": [ + "ㄍㄡ4" + ], + "𦏀": [ + "ㄖㄣ2" + ], + "𦏂": [ + "ㄕㄢ1" + ], + "𦏅": [ + "ㄐㄩㄝ2" + ], + "𦏆": [ + "ㄊㄨㄥ2" + ], + "𦏇": [ + "ㄧㄡ3" + ], + "𦏔": [ + "ㄐㄧㄢ1" + ], + "𦏕": [ + "ㄉㄨ2" + ], + "𦏗": [ + "ㄏㄨ2" + ], + "𦏛": [ + "ㄙㄠ1" + ], + "𦏜": [ + "ㄩ4" + ], + "𦏢": [ + "ㄇㄞ4" + ], + "𦏤": [ + "ㄓ1" + ], + "𦏥": [ + "ㄧㄢ1" + ], + "𦏦": [ + "ㄍㄠ1" + ], + "𦏨": [ + "ㄏㄨㄞ4" + ], + "𦏮": [ + "ㄑㄩㄢ2" + ], + "𦏱": [ + "ㄧㄤ3", + "ㄔㄞ4" + ], + "𦏳": [ + "ㄗㄨㄟ3" + ], + "𦏷": [ + "ㄒㄧㄠ1" + ], + "𦏸": [ + "ㄧ4", + "ㄔ2" + ], + "𦏹": [ + "ㄧㄢ3" + ], + "𦏺": [ + "ㄏㄨㄥ2", + "ㄍㄨㄥ4" + ], + "𦏻": [ + "ㄩ2", + "ㄩ4" + ], + "𦏿": [ + "ㄔ4" + ], + "𦐁": [ + "ㄔ2" + ], + "𦐄": [ + "ㄏㄤ2" + ], + "𦐅": [ + "ㄙㄜ4" + ], + "𦐆": [ + "ㄆㄚ1" + ], + "𦐇": [ + "ㄊㄚ4" + ], + "𦐈": [ + "ㄈㄣ1" + ], + "𦐉": [ + "ㄔ1" + ], + "𦐌": [ + "ㄏㄨㄥ2" + ], + "𦐍": [ + "ㄒㄩㄝ4" + ], + "𦐖": [ + "ㄓ3" + ], + "𦐛": [ + "ㄑㄩ2", + "ㄩ4" + ], + "𦐠": [ + "ㄒㄧ1" + ], + "𦐡": [ + "ㄈㄨ2" + ], + "𦐣": [ + "ㄕㄨ1" + ], + "𦐤": [ + "ㄏㄞ4" + ], + "𦐦": [ + "ㄆㄛ4" + ], + "𦐨": [ + "ㄘ3" + ], + "𦐰": [ + "ㄔㄞ4" + ], + "𦐳": [ + "ㄏㄨㄥ1" + ], + "𦐸": [ + "ㄆㄠ3" + ], + "𦐹": [ + "ㄕㄣ1" + ], + "𦐺": [ + "ㄒㄧㄠ1" + ], + "𦐽": [ + "ㄒㄩㄢ1", + "ㄌㄧㄥ2" + ], + "𦐾": [ + "ㄘ3" + ], + "𦐿": [ + "ㄊㄧㄥ2" + ], + "𦑀": [ + "ㄆㄛ4" + ], + "𦑇": [ + "ㄊㄚ4" + ], + "𦑈": [ + "ㄔㄚ1" + ], + "𦑋": [ + "ㄗㄨ2" + ], + "𦑌": [ + "ㄏㄨㄛ4" + ], + "𦑍": [ + "ㄒㄩ4" + ], + "𦑎": [ + "ㄧㄢ4" + ], + "𦑏": [ + "ㄔㄞ4" + ], + "𦑑": [ + "ㄊㄨㄛ2" + ], + "𦑘": [ + "ㄒㄧㄢ2" + ], + "𦑙": [ + "ㄒㄩㄢ1" + ], + "𦑚": [ + "ㄏㄡ2" + ], + "𦑛": [ + "ㄏㄨㄢ3" + ], + "𦑜": [ + "ㄍㄜ2" + ], + "𦑝": [ + "ㄔㄨㄥ3" + ], + "𦑞": [ + "ㄅㄧ4" + ], + "𦑟": [ + "ㄏㄨㄥ1" + ], + "𦑠": [ + "ㄏㄨㄥ1" + ], + "𦑡": [ + "ㄔ2", + "ㄔ1" + ], + "𦑣": [ + "ㄔㄚ2" + ], + "𦑯": [ + "ㄓㄚ3" + ], + "𦑱": [ + "ㄓㄞ2", + "ㄏㄨㄛ4" + ], + "𦑲": [ + "ㄊㄚ4" + ], + "𦑵": [ + "ㄆㄛ4" + ], + "𦑶": [ + "ㄊㄚ4" + ], + "𦑸": [ + "ㄧㄡ2" + ], + "𦑹": [ + "ㄈㄨ2" + ], + "𦑺": [ + "ㄘ1" + ], + "𦑻": [ + "ㄉㄚ2" + ], + "𦑼": [ + "ㄊㄚ3" + ], + "𦑾": [ + "ㄌㄧㄡ2" + ], + "𦒁": [ + "ㄘ1" + ], + "𦒃": [ + "ㄏㄨㄥ1" + ], + "𦒅": [ + "ㄏㄢ4" + ], + "𦒆": [ + "ㄌㄚ1" + ], + "𦒈": [ + "ㄕ1" + ], + "𦒍": [ + "ㄊㄨㄥ2" + ], + "𦒎": [ + "ㄏㄨㄟ4" + ], + "𦒏": [ + "ㄏㄜ2" + ], + "𦒐": [ + "ㄆㄧㄝ1" + ], + "𦒑": [ + "ㄩ4" + ], + "𦒜": [ + "ㄒㄧㄢ1" + ], + "𦒝": [ + "ㄏㄢ3" + ], + "𦒟": [ + "ㄆㄛ4" + ], + "𦒦": [ + "ㄌㄚ4" + ], + "𦒧": [ + "ㄏㄨㄛ4" + ], + "𦒰": [ + "ㄊㄞ4" + ], + "𦒴": [ + "ㄌㄠ3" + ], + "𦒶": [ + "ㄕㄨ4" + ], + "𦒺": [ + "ㄉㄠ4" + ], + "𦒻": [ + "ㄉㄧㄢ3" + ], + "𦓈": [ + "ㄒㄩㄥ4" + ], + "𦓋": [ + "ㄨㄤ4" + ], + "𦓍": [ + "ㄔㄜ3" + ], + "𦓎": [ + "ㄋㄞ4" + ], + "𦓐": [ + "ㄐㄩㄝ2" + ], + "𦓓": [ + "ㄦ2", + "ㄌㄧㄝ4" + ], + "𦓔": [ + "ㄦ2", + "ㄒㄩ1" + ], + "𦓕": [ + "ㄋㄩ2" + ], + "𦓖": [ + "ㄋㄩ4" + ], + "𦓝": [ + "ㄓㄨㄢ3" + ], + "𦓢": [ + "ㄋㄨㄛ4" + ], + "𦓤": [ + "ㄌㄧㄝ4" + ], + "𦓥": [ + "ㄌㄟ3" + ], + "𦓧": [ + "ㄅㄚ1" + ], + "𦓬": [ + "ㄔㄥ1" + ], + "𦓯": [ + "ㄍㄨㄟ1" + ], + "𦓰": [ + "ㄑㄩㄢ2" + ], + "𦓱": [ + "ㄍㄜ4" + ], + "𦓳": [ + "ㄍㄨㄥ3" + ], + "𦓴": [ + "ㄕㄠ4", + "ㄕㄠ1" + ], + "𦓹": [ + "ㄌㄞ2" + ], + "𦓺": [ + "ㄓㄥ1" + ], + "𦓻": [ + "ㄧ4" + ], + "𦓼": [ + "ㄍㄨㄣ3" + ], + "𦓽": [ + "ㄨㄟ1" + ], + "𦓾": [ + "ㄌㄨㄣ3", + "ㄎㄨㄣ3" + ], + "𦔂": [ + "ㄕ2" + ], + "𦔃": [ + "ㄧㄥ1" + ], + "𦔄": [ + "ㄕㄥ3" + ], + "𦔅": [ + "ㄊㄨ2" + ], + "𦔆": [ + "ㄅㄧ4" + ], + "𦔈": [ + "ㄗㄜ2" + ], + "𦔉": [ + "ㄓㄨㄥ4" + ], + "𦔋": [ + "ㄖㄨㄥ3" + ], + "𦔌": [ + "ㄑㄧ2", + "ㄙ2" + ], + "𦔍": [ + "ㄈㄨ4" + ], + "𦔎": [ + "ㄘㄜ4" + ], + "𦔓": [ + "ㄌㄧ2" + ], + "𦔔": [ + "ㄇㄢ2", + "ㄇㄢ4" + ], + "𦔖": [ + "ㄌㄧㄢ2" + ], + "𦔗": [ + "ㄅㄧㄠ1" + ], + "𦔛": [ + "ㄔㄨㄤ2" + ], + "𦔜": [ + "ㄧ4" + ], + "𦔠": [ + "ㄆㄞ4" + ], + "𦔥": [ + "ㄧ4", + "ㄕ4" + ], + "𦔦": [ + "ㄎㄨㄞ4" + ], + "𦔩": [ + "ㄅㄧㄠ1", + "ㄆㄠ1" + ], + "𦔫": [ + "ㄔ4", + "ㄧ4" + ], + "𦔬": [ + "ㄑㄩ2" + ], + "𦔭": [ + "ㄇㄛ4" + ], + "𦔮": [ + "ㄓㄜ2" + ], + "𦔯": [ + "ㄕㄚ4" + ], + "𦔰": [ + "ㄕㄚ4", + "ㄒㄩ1" + ], + "𦔷": [ + "ㄧㄠ1" + ], + "𦔸": [ + "ㄍㄨㄥ1" + ], + "𦔹": [ + "ㄋㄞ4" + ], + "𦔼": [ + "ㄒㄧㄝ4" + ], + "𦔿": [ + "ㄊㄧㄢ4" + ], + "𦕆": [ + "ㄧㄝ2" + ], + "𦕉": [ + "ㄕㄚ1" + ], + "𦕏": [ + "ㄙㄠ4" + ], + "𦕒": [ + "ㄉㄧㄢ1" + ], + "𦕓": [ + "ㄒㄩ4" + ], + "𦕙": [ + "ㄑㄩ2" + ], + "𦕠": [ + "ㄏㄨㄥ1" + ], + "𦕡": [ + "ㄕㄥ4" + ], + "𦕢": [ + "ㄊㄧㄥ4" + ], + "𦕰": [ + "ㄉㄨㄛ5" + ], + "𦕵": [ + "ㄌㄧㄠ2" + ], + "𦕷": [ + "ㄏㄨㄥ4" + ], + "𦕸": [ + "ㄌㄧ3" + ], + "𦕺": [ + "ㄒㄧㄤ3", + "ㄍㄠ1" + ], + "𦕽": [ + "ㄕㄣ4" + ], + "𦖀": [ + "ㄈㄨ1" + ], + "𦖈": [ + "ㄧㄢ3" + ], + "𦖉": [ + "ㄨㄤ3" + ], + "𦖊": [ + "ㄑㄧ1" + ], + "𦖋": [ + "ㄉㄨㄛ3" + ], + "𦖍": [ + "ㄏㄨㄚ4" + ], + "𦖎": [ + "ㄑㄧㄢ1" + ], + "𦖐": [ + "ㄒㄧㄝ4" + ], + "𦖝": [ + "ㄘ4" + ], + "𦖞": [ + "ㄕㄥ1", + "ㄨㄣ2" + ], + "𦖢": [ + "ㄦ4" + ], + "𦖤": [ + "ㄒㄧㄥ1" + ], + "𦖦": [ + "ㄊㄨㄟ4" + ], + "𦖧": [ + "ㄧㄢ4" + ], + "𦖩": [ + "ㄌㄧㄝ4" + ], + "𦖬": [ + "ㄇㄧ2" + ], + "𦖸": [ + "ㄗㄨㄥ4" + ], + "𦖺": [ + "ㄗ1" + ], + "𦖼": [ + "ㄏㄨ2" + ], + "𦖽": [ + "ㄧㄥ2" + ], + "𦖾": [ + "ㄌㄧㄢ2" + ], + "𦖿": [ + "ㄉㄚ1" + ], + "𦗀": [ + "ㄊㄧㄢ2" + ], + "𦗁": [ + "ㄊㄧㄢ4" + ], + "𦗋": [ + "ㄖㄨㄥ2" + ], + "𦗍": [ + "ㄞ4" + ], + "𦗐": [ + "ㄞ4" + ], + "𦗑": [ + "ㄓㄜ2" + ], + "𦗒": [ + "ㄍㄨㄛ1" + ], + "𦗓": [ + "ㄌㄨ4" + ], + "𦗔": [ + "ㄓㄠ1" + ], + "𦗕": [ + "ㄇㄧ2" + ], + "𦗖": [ + "ㄌㄧㄠ2" + ], + "𦗗": [ + "ㄓㄜ2" + ], + "𦗛": [ + "ㄑㄩ3" + ], + "𦗜": [ + "ㄘㄨㄥ1" + ], + "𦗟": [ + "ㄊㄧㄥ1", + "ㄊㄜ4" + ], + "𦗡": [ + "ㄊㄢ2" + ], + "𦗢": [ + "ㄓㄢ3" + ], + "𦗣": [ + "ㄏㄨ2" + ], + "𦗥": [ + "ㄆㄧㄝ1" + ], + "𦗧": [ + "ㄉㄚ1" + ], + "𦗨": [ + "ㄖㄨㄥ2" + ], + "𦗮": [ + "ㄋㄠ3" + ], + "𦗳": [ + "ㄋㄤ2" + ], + "𦗴": [ + "ㄉㄤ1" + ], + "𦗵": [ + "ㄐㄧㄠ3" + ], + "𦗻": [ + "ㄐㄩ4" + ], + "𦗼": [ + "ㄦ3" + ], + "𦘊": [ + "ㄌㄧ4" + ], + "𦘌": [ + "ㄍㄨㄛ1" + ], + "𦘍": [ + "ㄨㄞ4", + "ㄨㄚ4" + ], + "𦘒": [ + "ㄋㄧㄝ4" + ], + "𦘔": [ + "ㄐㄧㄣ1" + ], + "𦘩": [ + "ㄆㄧ3" + ], + "𦘪": [ + "ㄔ4" + ], + "𦘲": [ + "ㄆㄧ3" + ], + "𦘳": [ + "ㄧ4" + ], + "𦘴": [ + "ㄉㄨ1" + ], + "𦘵": [ + "ㄨㄚ3" + ], + "𦘶": [ + "ㄒㄩㄣ1" + ], + "𦘸": [ + "ㄑㄧ4" + ], + "𦘹": [ + "ㄕㄢ4", + "ㄩㄝ4" + ], + "𦘼": [ + "ㄒㄩ1" + ], + "𦘿": [ + "ㄏㄜ1" + ], + "𦙀": [ + "ㄆㄢ4" + ], + "𦙂": [ + "ㄆㄟ1" + ], + "𦙄": [ + "ㄒㄩㄥ1" + ], + "𦙆": [ + "ㄔ3" + ], + "𦙇": [ + "ㄊㄢ1" + ], + "𦙈": [ + "ㄗㄨㄟ4", + "ㄘㄨㄟ4" + ], + "𦙉": [ + "ㄗㄨㄢ3" + ], + "𦙊": [ + "ㄑㄧ4" + ], + "𦙋": [ + "ㄉㄨ1" + ], + "𦙙": [ + "ㄕㄨㄟ3" + ], + "𦙜": [ + "ㄋㄚ3" + ], + "𦙝": [ + "ㄒㄧ1" + ], + "𦙧": [ + "ㄔㄠ3" + ], + "𦙨": [ + "ㄧ4" + ], + "𦙫": [ + "ㄓㄥ1" + ], + "𦙮": [ + "ㄐㄩ2" + ], + "𦙯": [ + "ㄉㄞ4" + ], + "𦙱": [ + "ㄙㄢ1" + ], + "𦙴": [ + "ㄓㄨ4" + ], + "𦙵": [ + "ㄨㄢ4" + ], + "𦙶": [ + "ㄍㄨ3" + ], + "𦙸": [ + "ㄙㄢ1" + ], + "𦙹": [ + "ㄅㄢ4" + ], + "𦙺": [ + "ㄐㄧㄚ4", + "ㄐㄧㄚ1" + ], + "𦙻": [ + "ㄇㄞ4" + ], + "𦚈": [ + "ㄊㄨㄛ4", + "ㄉㄨ4" + ], + "𦚊": [ + "ㄑㄧ4" + ], + "𦚏": [ + "ㄓㄨㄤ1" + ], + "𦚐": [ + "ㄊㄨㄛ2" + ], + "𦚓": [ + "ㄆㄧㄥ2" + ], + "𦚝": [ + "ㄆㄥ1" + ], + "𦚞": [ + "ㄎㄨㄤ1", + "ㄎㄨㄤ4" + ], + "𦚟": [ + "ㄧ2" + ], + "𦚡": [ + "ㄒㄧㄝ4", + "ㄇㄞ4" + ], + "𦚢": [ + "ㄩㄝ1" + ], + "𦚣": [ + "ㄏㄣ2" + ], + "𦚥": [ + "ㄏㄡ2", + "ㄧㄡ2" + ], + "𦚦": [ + "ㄓㄥ1" + ], + "𦚧": [ + "ㄔㄨㄣ3" + ], + "𦚨": [ + "ㄕ4" + ], + "𦚩": [ + "ㄨㄚ3" + ], + "𦚫": [ + "ㄒㄧㄝ2" + ], + "𦚸": [ + "ㄍㄥ4" + ], + "𦛅": [ + "ㄜ4" + ], + "𦛏": [ + "ㄎㄨ2" + ], + "𦛐": [ + "ㄋㄚ4" + ], + "𦛓": [ + "ㄐㄩ1" + ], + "𦛔": [ + "ㄒㄩㄢ4" + ], + "𦛕": [ + "ㄑㄩ1" + ], + "𦛖": [ + "ㄔㄜ4" + ], + "𦛗": [ + "ㄌㄩ3" + ], + "𦛘": [ + "ㄏㄜ2" + ], + "𦛙": [ + "ㄕㄥ4" + ], + "𦛚": [ + "ㄋㄢ4" + ], + "𦛜": [ + "ㄏㄜ2", + "ㄏㄢ2" + ], + "𦛝": [ + "ㄔㄚ2" + ], + "𦛞": [ + "ㄧㄢ1" + ], + "𦛟": [ + "ㄍㄥ3" + ], + "𦛠": [ + "ㄋㄧㄝ4" + ], + "𦛢": [ + "ㄍㄨㄛ2" + ], + "𦛣": [ + "ㄧㄢ2" + ], + "𦛤": [ + "ㄍㄨㄢ3" + ], + "𦛧": [ + "ㄓ4" + ], + "𦛨": [ + "ㄌㄠ5" + ], + "𦛯": [ + "ㄉㄨ3" + ], + "𦛰": [ + "ㄑㄧ4" + ], + "𦛱": [ + "ㄑㄩ1" + ], + "𦛲": [ + "ㄐㄩㄝ2" + ], + "𦜁": [ + "ㄈㄥ1" + ], + "𦜃": [ + "ㄒㄩ4" + ], + "𦜄": [ + "ㄊㄨㄟ4" + ], + "𦜆": [ + "ㄏㄢ2" + ], + "𦜇": [ + "ㄎㄨ1" + ], + "𦜊": [ + "ㄕㄣ1" + ], + "𦜋": [ + "ㄓ4" + ], + "𦜍": [ + "ㄆㄤ4" + ], + "𦜎": [ + "ㄓㄥ1" + ], + "𦜏": [ + "ㄌㄧ4" + ], + "𦜐": [ + "ㄨㄢ3" + ], + "𦜒": [ + "ㄈㄢ3" + ], + "𦜓": [ + "ㄒㄧㄣ4" + ], + "𦜖": [ + "ㄧㄚ4" + ], + "𦜛": [ + "ㄐㄩ1" + ], + "𦜜": [ + "ㄕㄣ4" + ], + "𦜭": [ + "ㄇㄤ3" + ], + "𦜯": [ + "ㄊㄨㄣ3" + ], + "𦜰": [ + "ㄓㄨㄛ2" + ], + "𦜱": [ + "ㄒㄧ1" + ], + "𦜲": [ + "ㄧㄣ4" + ], + "𦜳": [ + "ㄐㄧㄥ1" + ], + "𦜴": [ + "ㄊㄨㄣ2" + ], + "𦜷": [ + "ㄍㄥ4" + ], + "𦜸": [ + "ㄐㄧ4" + ], + "𦝏": [ + "ㄓㄨㄢ3", + "ㄕㄨㄢ4" + ], + "𦝒": [ + "ㄊㄧㄝ1" + ], + "𦝔": [ + "ㄓ1" + ], + "𦝖": [ + "ㄐㄧ2" + ], + "𦝚": [ + "ㄧㄥ2" + ], + "𦝛": [ + "ㄨㄟ4" + ], + "𦝝": [ + "ㄏㄨㄢ4" + ], + "𦝞": [ + "ㄊㄧㄥ2" + ], + "𦝟": [ + "ㄔㄢ2" + ], + "𦝢": [ + "ㄎㄨㄟ2" + ], + "𦝣": [ + "ㄑㄧㄚ4", + "ㄎㄜ1" + ], + "𦝤": [ + "ㄅㄢ4" + ], + "𦝥": [ + "ㄔㄚ1", + "ㄓㄚ2" + ], + "𦝦": [ + "ㄊㄨㄛ3" + ], + "𦝧": [ + "ㄋㄢ3" + ], + "𦝨": [ + "ㄐㄧㄝ1" + ], + "𦝪": [ + "ㄧㄢ1" + ], + "𦝬": [ + "ㄊㄨ2" + ], + "𦝮": [ + "ㄨㄣ3" + ], + "𦝰": [ + "ㄘㄨㄥ1" + ], + "𦝳": [ + "ㄒㄩ4" + ], + "𦝴": [ + "ㄧㄣ4" + ], + "𦝷": [ + "ㄅㄥ4" + ], + "𦝼": [ + "ㄌㄩ2", + "ㄌㄡ2" + ], + "𦞁": [ + "ㄗㄞ1" + ], + "𦞂": [ + "ㄉㄚ1", + "ㄉㄚ5" + ], + "𦞆": [ + "ㄋㄧㄝ4" + ], + "𦞇": [ + "ㄐㄩ3" + ], + "𦞈": [ + "ㄏㄡ2" + ], + "𦞌": [ + "ㄍㄥ4" + ], + "𦞕": [ + "ㄏㄡ2" + ], + "𦞖": [ + "ㄎㄢ1" + ], + "𦞗": [ + "ㄍㄨㄥ1" + ], + "𦞙": [ + "ㄏㄨㄟ3" + ], + "𦞚": [ + "ㄒㄧㄝ4" + ], + "𦞝": [ + "ㄒㄧ4" + ], + "𦞞": [ + "ㄏㄢ2" + ], + "𦞟": [ + "ㄇㄧ2" + ], + "𦞡": [ + "ㄨㄥ3" + ], + "𦞢": [ + "ㄏㄨㄣ4" + ], + "𦞣": [ + "ㄙㄠ1" + ], + "𦞤": [ + "ㄒㄧㄣ4", + "ㄗ3" + ], + "𦞥": [ + "ㄓㄜ2" + ], + "𦞦": [ + "ㄏㄨㄛ4", + "ㄏㄜ4" + ], + "𦞨": [ + "ㄍㄨㄥ1" + ], + "𦞫": [ + "ㄙㄞ4" + ], + "𦞬": [ + "ㄐㄧㄣ1", + "ㄐㄧㄢ4" + ], + "𦞭": [ + "ㄨㄚ1" + ], + "𦞱": [ + "ㄉㄨㄟ3" + ], + "𦞲": [ + "ㄔ1" + ], + "𦞽": [ + "ㄒㄧ1", + "ㄨㄟ4", + "ㄐㄧ2" + ], + "𦟂": [ + "ㄇㄧ2" + ], + "𦟃": [ + "ㄗㄤ1" + ], + "𦟄": [ + "ㄙㄤ3", + "ㄙㄠ4" + ], + "𦟓": [ + "ㄊㄨㄣ2" + ], + "𦟔": [ + "ㄓ4" + ], + "𦟕": [ + "ㄨㄣ3" + ], + "𦟘": [ + "ㄧㄣ2" + ], + "𦟙": [ + "ㄊㄨㄣ3" + ], + "𦟛": [ + "ㄔㄨㄥ1" + ], + "𦟜": [ + "ㄗㄜ2" + ], + "𦟞": [ + "ㄒㄧㄠ1" + ], + "𦟟": [ + "ㄇㄛ2" + ], + "𦟠": [ + "ㄘㄨ4" + ], + "𦟣": [ + "ㄅㄧㄢ3" + ], + "𦟤": [ + "ㄒㄧㄡ1" + ], + "𦟧": [ + "ㄧ2" + ], + "𦟮": [ + "ㄏㄨㄤ3" + ], + "𦟰": [ + "ㄓㄚ1" + ], + "𦟱": [ + "ㄙㄨㄛ1" + ], + "𦟲": [ + "ㄏㄨㄣ2" + ], + "𦟳": [ + "ㄐㄩ4" + ], + "𦠁": [ + "ㄘㄨ4" + ], + "𦠄": [ + "ㄐㄧ1" + ], + "𦠅": [ + "ㄒㄩㄣ2" + ], + "𦠆": [ + "ㄙㄨㄣ3", + "ㄓㄨㄢ4" + ], + "𦠇": [ + "ㄘㄥ2" + ], + "𦠉": [ + "ㄧ4" + ], + "𦠎": [ + "ㄅㄧㄠ1" + ], + "𦠒": [ + "ㄐㄩㄝ2" + ], + "𦠓": [ + "ㄌㄧ4" + ], + "𦠖": [ + "ㄆㄠ4" + ], + "𦠛": [ + "ㄗㄚ1" + ], + "𦠜": [ + "ㄧㄝ4" + ], + "𦠞": [ + "ㄅㄧ4" + ], + "𦠟": [ + "ㄓㄜ4" + ], + "𦠠": [ + "ㄓㄜ4" + ], + "𦠢": [ + "ㄐㄧㄡ4" + ], + "𦠣": [ + "ㄓㄜ2" + ], + "𦠦": [ + "ㄕㄨ4" + ], + "𦠪": [ + "ㄒㄧ1" + ], + "𦠷": [ + "ㄒㄩ3" + ], + "𦠸": [ + "ㄋㄞ3" + ], + "𦠹": [ + "ㄒㄧㄢ2" + ], + "𦠺": [ + "ㄍㄨㄣ3" + ], + "𦠻": [ + "ㄨㄟ4" + ], + "𦠾": [ + "ㄐㄧ2" + ], + "𦠿": [ + "ㄙㄚ4" + ], + "𦡂": [ + "ㄉㄨㄥ3" + ], + "𦡃": [ + "ㄋㄨㄛ2", + "ㄋㄧㄝ2" + ], + "𦡄": [ + "ㄉㄨ4" + ], + "𦡅": [ + "ㄓㄥ1" + ], + "𦡆": [ + "ㄎㄨ1" + ], + "𦡉": [ + "ㄇㄧㄥ2" + ], + "𦡕": [ + "ㄅㄠ2" + ], + "𦡖": [ + "ㄏㄨㄟ4" + ], + "𦡙": [ + "ㄗㄨㄥ1" + ], + "𦡨": [ + "ㄙㄢ4" + ], + "𦡪": [ + "ㄊㄥ1" + ], + "𦡫": [ + "ㄧ2" + ], + "𦡭": [ + "ㄩ4" + ], + "𦡱": [ + "ㄧㄠ4", + "ㄕㄠ4" + ], + "𦡲": [ + "ㄋㄧㄥ3" + ], + "𦡴": [ + "ㄔㄡ2", + "ㄓㄡ3" + ], + "𦡵": [ + "ㄏㄨㄣ4" + ], + "𦡷": [ + "ㄉㄨㄟ4" + ], + "𦡹": [ + "ㄑㄧ4" + ], + "𦡺": [ + "ㄧㄥ3" + ], + "𦡻": [ + "ㄅㄧㄥ4" + ], + "𦡼": [ + "ㄋㄧㄥ2" + ], + "𦡽": [ + "ㄏㄨㄤ2" + ], + "𦢆": [ + "ㄧㄥ3" + ], + "𦢊": [ + "ㄅㄠ2", + "ㄅㄛ2" + ], + "𦢎": [ + "ㄍㄨㄤ4" + ], + "𦢏": [ + "ㄌㄟ3" + ], + "𦢐": [ + "ㄗㄨㄣ3" + ], + "𦢙": [ + "ㄔㄢ3", + "ㄑㄧㄢ1", + "ㄒㄧㄢ1" + ], + "𦢣": [ + "ㄐㄧㄢ3" + ], + "𦢧": [ + "ㄇㄥ2" + ], + "𦢩": [ + "ㄒㄧㄠ4", + "ㄙㄡ1" + ], + "𦢯": [ + "ㄒㄧㄣ4", + "ㄒㄧㄥ4" + ], + "𦢱": [ + "ㄌㄧ2" + ], + "𦢺": [ + "ㄑㄧㄠ3" + ], + "𦢿": [ + "ㄨㄟ3", + "ㄐㄩㄢ3" + ], + "𦣀": [ + "ㄋㄚ4", + "ㄋㄧㄝ4", + "ㄓㄜ2" + ], + "𦣂": [ + "ㄆㄤ1" + ], + "𦣄": [ + "ㄌㄟ2" + ], + "𦣇": [ + "ㄌㄨㄛ2" + ], + "𦣋": [ + "ㄌㄨㄢ2" + ], + "𦣍": [ + "ㄍㄥ1" + ], + "𦣏": [ + "ㄌㄨㄢ2" + ], + "𦣒": [ + "ㄑㄩ2" + ], + "𦣖": [ + "ㄌㄨㄛ2" + ], + "𦣘": [ + "ㄋㄤ2" + ], + "𦣛": [ + "ㄌㄨㄛ2" + ], + "𦣜": [ + "ㄩㄝ4" + ], + "𦣢": [ + "ㄕㄨㄟ4" + ], + "𦣥": [ + "ㄇㄧ4" + ], + "𦣦": [ + "ㄨㄤ2" + ], + "𦣧": [ + "ㄘㄜ4" + ], + "𦣨": [ + "ㄐㄧㄢ1" + ], + "𦣩": [ + "ㄨㄤ3" + ], + "𦣯": [ + "ㄐㄧㄚ1" + ], + "𦣴": [ + "ㄏㄨㄢ2" + ], + "𦣸": [ + "ㄌㄧㄢ4" + ], + "𦣹": [ + "ㄗ4" + ], + "𦣺": [ + "ㄅㄞ2" + ], + "𦣻": [ + "ㄕㄡ3", + "ㄅㄞ3" + ], + "𦣾": [ + "ㄨㄢ3" + ], + "𦤂": [ + "ㄕㄨ1" + ], + "𦤇": [ + "ㄍㄨㄟ1" + ], + "𦤈": [ + "ㄒㄧ1" + ], + "𦤊": [ + "ㄖㄨ2" + ], + "𦤋": [ + "ㄧㄠ4" + ], + "𦤎": [ + "ㄍㄠ1" + ], + "𦤕": [ + "ㄩㄝ4" + ], + "𦤘": [ + "ㄩㄥ1" + ], + "𦤙": [ + "ㄨㄚ4" + ], + "𦤚": [ + "ㄅㄛ2" + ], + "𦤟": [ + "ㄒㄧㄣ4" + ], + "𦤢": [ + "ㄆㄧ4" + ], + "𦤣": [ + "ㄅㄛ2" + ], + "𦤦": [ + "ㄏㄞ4", + "ㄏㄜ4", + "ㄞ4" + ], + "𦤧": [ + "ㄓㄞ4" + ], + "𦤨": [ + "ㄨㄛ4" + ], + "𦤪": [ + "ㄧㄝ4" + ], + "𦤫": [ + "ㄅㄧ4", + "ㄅㄧ2" + ], + "𦤬": [ + "ㄏㄞ4" + ], + "𦤸": [ + "ㄔ4" + ], + "𦤻": [ + "ㄓ4" + ], + "𦤽": [ + "ㄋㄧ2" + ], + "𦥁": [ + "ㄨ2" + ], + "𦥂": [ + "ㄞ3" + ], + "𦥈": [ + "ㄞ3" + ], + "𦥉": [ + "ㄩ3" + ], + "𦥊": [ + "ㄔ4" + ], + "𦥍": [ + "ㄐㄧㄥ4" + ], + "𦥎": [ + "ㄓ4" + ], + "𦥏": [ + "ㄓ4" + ], + "𦥐": [ + "ㄓ4" + ], + "𦥑": [ + "ㄐㄩ2", + "ㄐㄩ3", + "ㄆㄡ2" + ], + "𦥖": [ + "ㄏㄢ2", + "ㄒㄧㄢ2" + ], + "𦥚": [ + "ㄆㄧㄥ1" + ], + "𦥝": [ + "ㄧㄠ3" + ], + "𦥣": [ + "ㄧㄡ2" + ], + "𦥤": [ + "ㄆㄧㄥ1" + ], + "𦥦": [ + "ㄇㄛ4" + ], + "𦥬": [ + "ㄗㄨㄛ4" + ], + "𦥭": [ + "ㄆㄛ4" + ], + "𦥯": [ + "ㄒㄩㄝ2" + ], + "𦥰": [ + "ㄎㄨㄤ2" + ], + "𦥱": [ + "ㄧ4" + ], + "𦥲": [ + "ㄆㄛ4" + ], + "𦥻": [ + "ㄓㄨㄟ4" + ], + "𦦃": [ + "ㄋㄧ2" + ], + "𦦄": [ + "ㄑㄧㄡ3" + ], + "𦦅": [ + "ㄘㄡ4" + ], + "𦦌": [ + "ㄧㄠ3" + ], + "𦦑": [ + "ㄈㄣ2" + ], + "𦦕": [ + "ㄒㄧㄚ2" + ], + "𦦗": [ + "ㄐㄧㄤ1" + ], + "𦦘": [ + "ㄔㄚ1" + ], + "𦦛": [ + "ㄒㄧㄠ4" + ], + "𦦜": [ + "ㄔㄚ1" + ], + "𦦢": [ + "ㄔㄥ2" + ], + "𦦣": [ + "ㄘㄨㄟ4" + ], + "𦦧": [ + "ㄑㄩㄥ2", + "ㄍㄨㄥ3" + ], + "𦦩": [ + "ㄩ4" + ], + "𦦫": [ + "ㄩ2" + ], + "𦦯": [ + "ㄨㄣ4" + ], + "𦦱": [ + "ㄔㄚ1" + ], + "𦦲": [ + "ㄩ3", + "ㄩ4" + ], + "𦦹": [ + "ㄗㄨㄛ2" + ], + "𦦺": [ + "ㄉㄠ3" + ], + "𦦽": [ + "ㄐㄩㄢ4", + "ㄈㄢ4" + ], + "𦦾": [ + "ㄉㄠ3" + ], + "𦦿": [ + "ㄧㄥ1" + ], + "𦧁": [ + "ㄈㄥ3" + ], + "𦧅": [ + "ㄨㄥ4" + ], + "𦧈": [ + "ㄐㄧㄣ4" + ], + "𦧉": [ + "ㄑㄧ4" + ], + "𦧋": [ + "ㄑㄧㄣ4" + ], + "𦧍": [ + "ㄎㄨㄛ4" + ], + "𦧏": [ + "ㄊㄢ1" + ], + "𦧐": [ + "ㄒㄧㄢ1" + ], + "𦧒": [ + "ㄊㄧㄢ1" + ], + "𦧔": [ + "ㄎㄨㄛ4" + ], + "𦧖": [ + "ㄊㄧㄢ4" + ], + "𦧘": [ + "ㄏㄨ2" + ], + "𦧙": [ + "ㄓㄨ1" + ], + "𦧚": [ + "ㄓㄢ1" + ], + "𦧛": [ + "ㄊㄚ4" + ], + "𦧝": [ + "ㄊㄧㄢ1" + ], + "𦧞": [ + "ㄊㄚ4" + ], + "𦧟": [ + "ㄊㄚ4" + ], + "𦧠": [ + "ㄏㄨㄚ2" + ], + "𦧡": [ + "ㄧㄢ3", + "ㄊㄧㄢ4" + ], + "𦧢": [ + "ㄊㄧㄝ4" + ], + "𦧤": [ + "ㄊㄧㄝ4" + ], + "𦧥": [ + "ㄊㄚ4" + ], + "𦧬": [ + "ㄏㄨㄞ4" + ], + "𦧮": [ + "ㄐㄧㄚ2" + ], + "𦧯": [ + "ㄑㄧ4" + ], + "𦧱": [ + "ㄊㄚ4" + ], + "𦧴": [ + "ㄊㄢ1" + ], + "𦧵": [ + "ㄏㄨㄚ4" + ], + "𦧸": [ + "ㄓㄨㄢ4" + ], + "𦧹": [ + "ㄏㄨㄚ1" + ], + "𦧼": [ + "ㄌㄢ2" + ], + "𦨆": [ + "ㄗㄨㄣ1" + ], + "𦨇": [ + "ㄧ4" + ], + "𦨈": [ + "ㄈㄨ2" + ], + "𦨉": [ + "ㄨ4" + ], + "𦨋": [ + "ㄈㄨ2" + ], + "𦨍": [ + "ㄉㄧㄥ1" + ], + "𦨎": [ + "ㄊㄚ4" + ], + "𦨖": [ + "ㄔㄠ4" + ], + "𦨙": [ + "ㄖ4" + ], + "𦨚": [ + "ㄑㄩㄢ3" + ], + "𦨜": [ + "ㄍㄜ1" + ], + "𦨡": [ + "ㄈㄨ2" + ], + "𦨢": [ + "ㄉㄧ4" + ], + "𦨣": [ + "ㄉㄧㄠ1" + ], + "𦨤": [ + "ㄩㄥ3" + ], + "𦨦": [ + "ㄐㄧㄚ4" + ], + "𦨩": [ + "ㄌㄨㄥ2" + ], + "𦨬": [ + "ㄩㄥ3" + ], + "𦨭": [ + "ㄆㄧ2" + ], + "𦨯": [ + "ㄏㄨㄛ2" + ], + "𦨰": [ + "ㄑㄩㄥ2" + ], + "𦨲": [ + "ㄈㄢ2" + ], + "𦨳": [ + "ㄨ2" + ], + "𦨴": [ + "ㄊㄨㄥ2" + ], + "𦨵": [ + "ㄏㄤ2" + ], + "𦨸": [ + "ㄊㄢ1" + ], + "𦨾": [ + "ㄏㄥ1" + ], + "𦩄": [ + "ㄊㄧㄠ1" + ], + "𦩈": [ + "ㄓㄡ1" + ], + "𦩋": [ + "ㄅㄞ4" + ], + "𦩌": [ + "ㄒㄧㄝ4" + ], + "𦩍": [ + "ㄉㄠ1", + "ㄉㄧㄠ1" + ], + "𦩏": [ + "ㄐㄧㄣ1", + "ㄨㄟ2" + ], + "𦩕": [ + "ㄏㄨ1" + ], + "𦩖": [ + "ㄅㄟ1" + ], + "𦩘": [ + "ㄉㄧㄥ4" + ], + "𦩜": [ + "ㄋㄨㄛ2" + ], + "𦩝": [ + "ㄨㄟ4" + ], + "𦩞": [ + "ㄩ2" + ], + "𦩠": [ + "ㄒㄧㄥ1" + ], + "𦩡": [ + "ㄈㄨ2" + ], + "𦩢": [ + "ㄒㄧㄢ4" + ], + "𦩣": [ + "ㄑㄧ4" + ], + "𦩤": [ + "ㄊㄨ1" + ], + "𦩧": [ + "ㄐㄧ2" + ], + "𦩩": [ + "ㄧㄥ4" + ], + "𦩫": [ + "ㄉㄥ4", + "ㄊㄥ2" + ], + "𦩬": [ + "ㄨㄟ1" + ], + "𦩭": [ + "ㄒㄧ1" + ], + "𦩯": [ + "ㄆㄞ2" + ], + "𦩱": [ + "ㄕㄥ2" + ], + "𦩲": [ + "ㄧㄡ3" + ], + "𦩴": [ + "ㄞ2" + ], + "𦩵": [ + "ㄐㄧㄢ4" + ], + "𦩷": [ + "ㄍㄡ1" + ], + "𦩸": [ + "ㄖㄨㄛ4" + ], + "𦩼": [ + "ㄍㄨㄥ4" + ], + "𦩿": [ + "ㄕㄚ4" + ], + "𦪀": [ + "ㄊㄤ2" + ], + "𦪇": [ + "ㄌㄨ4" + ], + "𦪈": [ + "ㄠ2" + ], + "𦪊": [ + "ㄑㄧ4" + ], + "𦪋": [ + "ㄒㄧㄡ1" + ], + "𦪍": [ + "ㄉㄞ1" + ], + "𦪑": [ + "ㄈㄚ2" + ], + "𦪒": [ + "ㄨㄟ4" + ], + "𦪔": [ + "ㄉㄨㄣ4" + ], + "𦪕": [ + "ㄌㄧㄠ2" + ], + "𦪖": [ + "ㄈㄢ1" + ], + "𦪗": [ + "ㄏㄨㄤ2", + "ㄏㄥ2" + ], + "𦪘": [ + "ㄐㄩㄝ2" + ], + "𦪙": [ + "ㄊㄚ4" + ], + "𦪚": [ + "ㄗㄨㄣ4" + ], + "𦪛": [ + "ㄖㄠ2" + ], + "𦪜": [ + "ㄘㄢ1" + ], + "𦪝": [ + "ㄊㄥ2" + ], + "𦪠": [ + "ㄏㄨㄚ4" + ], + "𦪡": [ + "ㄒㄩ1" + ], + "𦪣": [ + "ㄓㄢ1" + ], + "𦪧": [ + "ㄍㄢ3" + ], + "𦪪": [ + "ㄆㄥ2" + ], + "𦪫": [ + "ㄘㄢ1" + ], + "𦪬": [ + "ㄒㄧㄝ1" + ], + "𦪭": [ + "ㄉㄚ2" + ], + "𦪱": [ + "ㄐㄧ4" + ], + "𦪶": [ + "ㄌㄧ3" + ], + "𦪹": [ + "ㄆㄢ2" + ], + "𦪽": [ + "ㄌㄨㄥ2", + "ㄌㄨㄥ3" + ], + "𦪾": [ + "ㄌㄧ4" + ], + "𦪿": [ + "ㄒㄧ2" + ], + "𦫀": [ + "ㄊㄥ2" + ], + "𦫃": [ + "ㄌㄧㄥ2" + ], + "𦫈": [ + "ㄌㄧ3" + ], + "𦫉": [ + "ㄖㄢ2" + ], + "𦫊": [ + "ㄌㄧㄥ2" + ], + "𦫎": [ + "ㄍㄨㄣ3" + ], + "𦫔": [ + "ㄆㄛ1" + ], + "𦫕": [ + "ㄇㄛ4" + ], + "𦫖": [ + "ㄆㄞ1" + ], + "𦫙": [ + "ㄅㄚ4" + ], + "𦫡": [ + "ㄑㄧ2" + ], + "𦫤": [ + "ㄧㄢ2" + ], + "𦫪": [ + "ㄨㄚ4" + ], + "𦫫": [ + "ㄤ3" + ], + "𦫭": [ + "ㄇㄧㄥ4" + ], + "𦫮": [ + "ㄇㄧㄣ3" + ], + "𦫯": [ + "ㄒㄩㄣ4" + ], + "𦫰": [ + "ㄇㄥ2" + ], + "𦫳": [ + "ㄍㄨㄞ3" + ], + "𦫶": [ + "ㄐㄧㄠ1" + ], + "𦫻": [ + "ㄍㄞ3" + ], + "𦬁": [ + "ㄘㄞ2" + ], + "𦬂": [ + "ㄨ4" + ], + "𦬃": [ + "ㄓㄜ2" + ], + "𦬄": [ + "ㄖㄣ3" + ], + "𦬅": [ + "ㄎㄡ1" + ], + "𦬔": [ + "ㄓㄠ3" + ], + "𦬕": [ + "ㄓㄨㄥ1" + ], + "𦬖": [ + "ㄑㄧㄡ2" + ], + "𦬗": [ + "ㄍㄨㄛ1" + ], + "𦬘": [ + "ㄍㄨㄥ1", + "ㄙㄨㄥ1" + ], + "𦬙": [ + "ㄆㄨ1" + ], + "𦬚": [ + "ㄏㄨ4" + ], + "𦬛": [ + "ㄇㄧㄢ3" + ], + "𦬞": [ + "ㄊㄧㄢ1" + ], + "𦬣": [ + "ㄨㄤ3" + ], + "𦬸": [ + "ㄓㄨ2" + ], + "𦬹": [ + "ㄉㄚ2", + "ㄉㄢ4" + ], + "𦬺": [ + "ㄒㄩㄥ4", + "ㄏㄨㄤ3" + ], + "𦬻": [ + "ㄋㄚ2" + ], + "𦬾": [ + "ㄐㄩㄢ1" + ], + "𦭁": [ + "ㄋㄧㄢ3" + ], + "𦭈": [ + "ㄏㄨ4" + ], + "𦭉": [ + "ㄕㄚ1" + ], + "𦭜": [ + "ㄓ1" + ], + "𦭟": [ + "ㄊㄚ1" + ], + "𦭡": [ + "ㄙ1" + ], + "𦭥": [ + "ㄧ4" + ], + "𦭭": [ + "ㄑㄩㄥ2" + ], + "𦭮": [ + "ㄓ4" + ], + "𦭯": [ + "ㄌㄩ3", + "ㄌㄡ2" + ], + "𦭰": [ + "ㄖㄨ2" + ], + "𦭲": [ + "ㄑㄧ2" + ], + "𦭳": [ + "ㄩ3" + ], + "𦭴": [ + "ㄓㄡ1" + ], + "𦭵": [ + "ㄧㄤ2" + ], + "𦭶": [ + "ㄒㄧㄢ3" + ], + "𦭷": [ + "ㄇㄡ2" + ], + "𦭸": [ + "ㄔㄡ2" + ], + "𦭹": [ + "ㄏㄨㄟ1" + ], + "𦭺": [ + "ㄐㄧㄡ1" + ], + "𦭻": [ + "ㄐㄧㄡ4" + ], + "𦭼": [ + "ㄆㄧㄠ3", + "ㄅㄧ4" + ], + "𦮁": [ + "ㄐㄧㄠ4" + ], + "𦮃": [ + "ㄍㄨㄞ1", + "ㄎㄨㄚ1" + ], + "𦮅": [ + "ㄇㄛ4" + ], + "𦮐": [ + "ㄒㄧ1" + ], + "𦮑": [ + "ㄆㄨ2" + ], + "𦮯": [ + "ㄐㄧ4" + ], + "𦮶": [ + "ㄨㄣ3" + ], + "𦮷": [ + "ㄅㄟ4" + ], + "𦮸": [ + "ㄧ3" + ], + "𦮹": [ + "ㄈㄨ2" + ], + "𦮺": [ + "ㄙ1" + ], + "𦮻": [ + "ㄐㄩㄢ1" + ], + "𦮼": [ + "ㄐㄧ4", + "ㄑㄧ2" + ], + "𦮾": [ + "ㄋㄧ4" + ], + "𦯀": [ + "ㄅㄣ4" + ], + "𦯅": [ + "ㄒㄩ4" + ], + "𦯈": [ + "ㄑㄧㄣ3" + ], + "𦯉": [ + "ㄅㄛ2" + ], + "𦯌": [ + "ㄨㄤ2" + ], + "𦯍": [ + "ㄓㄜ4" + ], + "𦯏": [ + "ㄨㄛ4" + ], + "𦯐": [ + "ㄕㄠ2" + ], + "𦯑": [ + "ㄗㄠ4" + ], + "𦯒": [ + "ㄧㄤ3" + ], + "𦯕": [ + "ㄙㄨㄥ4" + ], + "𦯖": [ + "ㄋㄧㄝ4" + ], + "𦯛": [ + "ㄅㄧ4" + ], + "𦯣": [ + "ㄘㄨ2" + ], + "𦯤": [ + "ㄑㄧㄤ1" + ], + "𦯪": [ + "ㄒㄧㄠ4" + ], + "𦯫": [ + "ㄓ1" + ], + "𦯬": [ + "ㄕㄜ2" + ], + "𦯯": [ + "ㄓ4" + ], + "𦯰": [ + "ㄆㄥ1" + ], + "𦰏": [ + "ㄉㄧㄠ4" + ], + "𦰖": [ + "ㄨㄛ4" + ], + "𦰘": [ + "ㄓ3" + ], + "𦰙": [ + "ㄅㄧ4" + ], + "𦰛": [ + "ㄈㄣ2" + ], + "𦰡": [ + "ㄋㄚ4", + "ㄋㄨㄛ2" + ], + "𦰥": [ + "ㄅㄤ1" + ], + "𦰪": [ + "ㄑㄧㄡ2" + ], + "𦰫": [ + "ㄋㄧ3" + ], + "𦰬": [ + "ㄅㄛ2" + ], + "𦰭": [ + "ㄉㄨㄣ4" + ], + "𦰯": [ + "ㄕ3" + ], + "𦰰": [ + "ㄒㄩ1" + ], + "𦰱": [ + "ㄔㄤ2" + ], + "𦰲": [ + "ㄒㄩ1" + ], + "𦰳": [ + "ㄧㄝ2" + ], + "𦰴": [ + "ㄇㄧ2" + ], + "𦰸": [ + "ㄒㄧㄣ1" + ], + "𦰹": [ + "ㄓㄨㄛ2" + ], + "𦰺": [ + "ㄈㄨ4" + ], + "𦰽": [ + "ㄆㄧ3" + ], + "𦰾": [ + "ㄒㄩㄝ4" + ], + "𦱀": [ + "ㄩ4" + ], + "𦱁": [ + "ㄒㄧㄢ2" + ], + "𦱂": [ + "ㄩ4" + ], + "𦱃": [ + "ㄩ2" + ], + "𦱅": [ + "ㄐㄩ1" + ], + "𦱆": [ + "ㄊㄚ1" + ], + "𦱇": [ + "ㄎㄨㄥ1" + ], + "𦱊": [ + "ㄓㄥ1" + ], + "𦱋": [ + "ㄇㄥ2" + ], + "𦱌": [ + "ㄍㄤ1" + ], + "𦱒": [ + "ㄇㄨ4" + ], + "𦱓": [ + "ㄒㄧ3" + ], + "𦱔": [ + "ㄅㄧ4" + ], + "𦱖": [ + "ㄈㄨ4" + ], + "𦱜": [ + "ㄒㄧㄠ4" + ], + "𦱠": [ + "ㄐㄧㄡ1" + ], + "𦱣": [ + "ㄍㄡ3" + ], + "𦱰": [ + "ㄔ2" + ], + "𦱱": [ + "ㄐㄧㄡ1" + ], + "𦱲": [ + "ㄐㄧㄡ1" + ], + "𦱵": [ + "ㄕㄚ1" + ], + "𦱷": [ + "ㄈㄟ1" + ], + "𦲫": [ + "ㄈㄨ2" + ], + "𦲯": [ + "ㄨㄢ4" + ], + "𦲰": [ + "ㄒㄩ1" + ], + "𦲱": [ + "ㄅㄛ1" + ], + "𦳁": [ + "ㄏㄠ4", + "ㄇㄠ4" + ], + "𦳃": [ + "ㄒㄧㄝ2" + ], + "𦳄": [ + "ㄆㄧㄢ2" + ], + "𦳅": [ + "ㄩ3" + ], + "𦳇": [ + "ㄊㄧㄢ2" + ], + "𦳈": [ + "ㄆㄧ2", + "ㄅㄧ4" + ], + "𦳊": [ + "ㄕ3" + ], + "𦳋": [ + "ㄎㄨㄞ3" + ], + "𦳌": [ + "ㄐㄧ1" + ], + "𦳏": [ + "ㄓㄚ1" + ], + "𦳐": [ + "ㄋㄞ4", + "ㄋㄚ4" + ], + "𦳑": [ + "ㄇㄡ3" + ], + "𦳓": [ + "ㄈㄨ2" + ], + "𦳔": [ + "ㄉㄨ4" + ], + "𦳗": [ + "ㄕㄥ3" + ], + "𦳘": [ + "ㄔㄚ2" + ], + "𦳚": [ + "ㄔ2" + ], + "𦳛": [ + "ㄍㄨㄟ3" + ], + "𦳜": [ + "ㄇㄧㄣ2" + ], + "𦳝": [ + "ㄊㄤ1", + "ㄉㄤ4" + ], + "𦳞": [ + "ㄅㄞ4" + ], + "𦳟": [ + "ㄑㄧㄤ1" + ], + "𦳡": [ + "ㄓㄨㄛ2" + ], + "𦳢": [ + "ㄨㄟ4" + ], + "𦳣": [ + "ㄒㄩㄣ2" + ], + "𦳥": [ + "ㄇㄧㄠ3" + ], + "𦳦": [ + "ㄗㄞ1" + ], + "𦳧": [ + "ㄧㄡ2" + ], + "𦳩": [ + "ㄧㄡ4" + ], + "𦳫": [ + "ㄕㄢ1" + ], + "𦳬": [ + "ㄏㄜ2" + ], + "𦳭": [ + "ㄌㄩ3" + ], + "𦳮": [ + "ㄓ2" + ], + "𦳲": [ + "ㄐㄧㄥ4" + ], + "𦳳": [ + "ㄓㄣ1" + ], + "𦳶": [ + "ㄇㄥ2" + ], + "𦳷": [ + "ㄧㄡ2" + ], + "𦳹": [ + "ㄨㄛ4" + ], + "𦳺": [ + "ㄅㄚ2" + ], + "𦳽": [ + "ㄐㄩㄢ4" + ], + "𦳾": [ + "ㄖㄨ2" + ], + "𦳿": [ + "ㄘㄡ4" + ], + "𦴀": [ + "ㄓ1" + ], + "𦴉": [ + "ㄏㄨ2" + ], + "𦴊": [ + "ㄧㄤ1" + ], + "𦴌": [ + "ㄐㄩㄣ4" + ], + "𦴍": [ + "ㄕㄜ2" + ], + "𦴎": [ + "ㄎㄡ4" + ], + "𦴑": [ + "ㄑㄧㄢ2" + ], + "𦴔": [ + "ㄇㄥ2" + ], + "𦴚": [ + "ㄊㄧㄠ2" + ], + "𦵐": [ + "ㄋㄧㄝ4" + ], + "𦵟": [ + "ㄔ2" + ], + "𦵡": [ + "ㄒㄩㄥ1", + "ㄍㄨㄥ1" + ], + "𦵣": [ + "ㄏㄨㄣ4" + ], + "𦵦": [ + "ㄉㄧ2" + ], + "𦵧": [ + "ㄌㄤ2" + ], + "𦵩": [ + "ㄗㄠ1", + "ㄑㄧㄡ2" + ], + "𦵪": [ + "ㄘㄜ4" + ], + "𦵫": [ + "ㄙㄨㄛ3" + ], + "𦵬": [ + "ㄗㄨ4" + ], + "𦵭": [ + "ㄙㄨㄟ1" + ], + "𦵯": [ + "ㄒㄧㄚ2" + ], + "𦵱": [ + "ㄒㄧㄝ4" + ], + "𦵴": [ + "ㄐㄧㄝ2" + ], + "𦵵": [ + "ㄧㄡ2" + ], + "𦵷": [ + "ㄍㄡ4" + ], + "𦵸": [ + "ㄍㄥ3" + ], + "𦵼": [ + "ㄐㄩㄣ4" + ], + "𦵽": [ + "ㄏㄨㄤ3" + ], + "𦵾": [ + "ㄐㄧ2" + ], + "𦵿": [ + "ㄆㄡ1" + ], + "𦶀": [ + "ㄨ1" + ], + "𦶂": [ + "ㄧ4" + ], + "𦶅": [ + "ㄋㄞ3" + ], + "𦶇": [ + "ㄖㄨㄥ3", + "ㄖㄨㄢ3" + ], + "𦶈": [ + "ㄋㄢ2" + ], + "𦶊": [ + "ㄆㄧㄥ2" + ], + "𦶋": [ + "ㄕㄢ4" + ], + "𦶌": [ + "ㄉㄧㄠ1" + ], + "𦶍": [ + "ㄐㄧ2" + ], + "𦶎": [ + "ㄏㄨㄚ1" + ], + "𦶏": [ + "ㄉㄨㄟ4" + ], + "𦶐": [ + "ㄎㄨㄥ3" + ], + "𦶑": [ + "ㄊㄚ4" + ], + "𦶓": [ + "ㄏㄨㄥ4" + ], + "𦶕": [ + "ㄕㄨ1" + ], + "𦶙": [ + "ㄏㄥ2" + ], + "𦶚": [ + "ㄈㄣ3" + ], + "𦶲": [ + "ㄎㄡ4" + ], + "𦷙": [ + "ㄋㄧㄢ2" + ], + "𦷝": [ + "ㄔㄨ2" + ], + "𦷦": [ + "ㄑㄧㄤ4" + ], + "𦷲": [ + "ㄒㄧ4" + ], + "𦷳": [ + "ㄏㄨ2" + ], + "𦷴": [ + "ㄙㄨㄥ4" + ], + "𦷵": [ + "ㄨㄛ4" + ], + "𦷷": [ + "ㄏㄞ4" + ], + "𦷸": [ + "ㄖㄨ2" + ], + "𦷹": [ + "ㄇㄥ2" + ], + "𦷻": [ + "ㄙㄢ3" + ], + "𦷽": [ + "ㄨ2" + ], + "𦷿": [ + "ㄧㄡ2" + ], + "𦸁": [ + "ㄊㄢ1" + ], + "𦸂": [ + "ㄕㄣ1" + ], + "𦸆": [ + "ㄑㄧ3" + ], + "𦸈": [ + "ㄍㄨㄛ2" + ], + "𦸉": [ + "ㄑㄧㄚ4" + ], + "𦸊": [ + "ㄒㄧㄢ1" + ], + "𦸏": [ + "ㄙㄨㄟ1" + ], + "𦸐": [ + "ㄌㄨ4" + ], + "𦸓": [ + "ㄑㄧ1" + ], + "𦸔": [ + "ㄉㄧㄠ1" + ], + "𦸗": [ + "ㄑㄧ2" + ], + "𦸘": [ + "ㄐㄧㄚ2" + ], + "𦸙": [ + "ㄧㄡ2" + ], + "𦸚": [ + "ㄒㄧ2" + ], + "𦸛": [ + "ㄔㄠ2" + ], + "𦸡": [ + "ㄇㄧ4" + ], + "𦸢": [ + "ㄌㄡ4" + ], + "𦸣": [ + "ㄅㄧ3" + ], + "𦸪": [ + "ㄆㄟ2" + ], + "𦸮": [ + "ㄓㄣ1" + ], + "𦸯": [ + "ㄕㄣ1" + ], + "𦸰": [ + "ㄔㄢ3" + ], + "𦸱": [ + "ㄈㄨ4" + ], + "𦸶": [ + "ㄑㄩ1" + ], + "𦸷": [ + "ㄙ1" + ], + "𦸺": [ + "ㄗㄨㄟ1" + ], + "𦹫": [ + "ㄓㄠ4" + ], + "𦹽": [ + "ㄆㄧ2" + ], + "𦺀": [ + "ㄘㄡ4" + ], + "𦺆": [ + "ㄍㄠ1" + ], + "𦺇": [ + "ㄉㄨ2" + ], + "𦺉": [ + "ㄈㄨ1" + ], + "𦺊": [ + "ㄍㄨㄢ1" + ], + "𦺋": [ + "ㄙㄠ3" + ], + "𦺌": [ + "ㄙㄡ3" + ], + "𦺍": [ + "ㄐㄧㄢ3" + ], + "𦺎": [ + "ㄆㄡ2" + ], + "𦺐": [ + "ㄘㄢ2" + ], + "𦺑": [ + "ㄅㄥ4" + ], + "𦺒": [ + "ㄇㄡ4" + ], + "𦺓": [ + "ㄓㄠ1" + ], + "𦺔": [ + "ㄒㄧㄠ2" + ], + "𦺖": [ + "ㄐㄩ2" + ], + "𦺗": [ + "ㄕㄨ1" + ], + "𦺘": [ + "ㄐㄧㄢ3" + ], + "𦺙": [ + "ㄌㄧ2" + ], + "𦺛": [ + "ㄔㄨㄢ4" + ], + "𦺜": [ + "ㄌㄠ4", + "ㄌㄠ2" + ], + "𦺞": [ + "ㄏㄜ4" + ], + "𦺟": [ + "ㄏㄨ2" + ], + "𦺠": [ + "ㄍㄨ1" + ], + "𦺡": [ + "ㄓㄤ3" + ], + "𦺢": [ + "ㄐㄧㄝ2" + ], + "𦺣": [ + "ㄒㄧㄤ4" + ], + "𦺥": [ + "ㄉㄨ1" + ], + "𦺦": [ + "ㄏㄢ2" + ], + "𦺧": [ + "ㄐㄧㄚ2" + ], + "𦺨": [ + "ㄒㄧㄤ4" + ], + "𦺩": [ + "ㄐㄧ2" + ], + "𦺪": [ + "ㄕㄨ3" + ], + "𦺫": [ + "ㄌㄤ4" + ], + "𦺬": [ + "ㄐㄧ1" + ], + "𦺭": [ + "ㄕㄢ1" + ], + "𦺰": [ + "ㄊㄠ1", + "ㄊㄧㄠ2" + ], + "𦺱": [ + "ㄗ1" + ], + "𦺲": [ + "ㄕㄨㄢ4" + ], + "𦺴": [ + "ㄐㄧ2" + ], + "𦺵": [ + "ㄔㄨ4" + ], + "𦺶": [ + "ㄐㄧ4" + ], + "𦺷": [ + "ㄕㄣ1" + ], + "𦺸": [ + "ㄌㄧㄣ4", + "ㄌㄧㄣ2" + ], + "𦺹": [ + "ㄌㄧㄠ2" + ], + "𦺻": [ + "ㄙㄢ3" + ], + "𦺽": [ + "ㄢ3" + ], + "𦺾": [ + "ㄖㄨㄢ3" + ], + "𦻀": [ + "ㄊㄧ2", + "ㄊㄞ2" + ], + "𦻁": [ + "ㄉㄢ4" + ], + "𦻃": [ + "ㄏㄨㄢ2" + ], + "𦻅": [ + "ㄙㄚ4" + ], + "𦼆": [ + "ㄖㄨㄟ2" + ], + "𦼇": [ + "ㄨ1" + ], + "𦼈": [ + "ㄐㄩ4" + ], + "𦼉": [ + "ㄏㄨㄢ2" + ], + "𦼊": [ + "ㄌㄥ2" + ], + "𦼋": [ + "ㄌㄨ4" + ], + "𦼎": [ + "ㄊㄢ1" + ], + "𦼏": [ + "ㄗㄥ1" + ], + "𦼓": [ + "ㄑㄧㄢ2" + ], + "𦼗": [ + "ㄒㄧ1" + ], + "𦼡": [ + "ㄘ3" + ], + "𦼢": [ + "ㄕㄜ2" + ], + "𦼧": [ + "ㄙㄚ4" + ], + "𦼪": [ + "ㄇㄠ4" + ], + "𦼫": [ + "ㄑㄩ2" + ], + "𦼭": [ + "ㄅㄛ2" + ], + "𦼮": [ + "ㄍㄢ3", + "ㄍㄢ4" + ], + "𦼰": [ + "ㄑㄧㄝ4", + "ㄏㄜ2" + ], + "𦼱": [ + "ㄐㄩㄢ4" + ], + "𦼲": [ + "ㄉㄤ1" + ], + "𦼳": [ + "ㄔㄤ2" + ], + "𦼴": [ + "ㄧㄤ2" + ], + "𦼵": [ + "ㄏㄜ2" + ], + "𦼷": [ + "ㄐㄧ1" + ], + "𦼹": [ + "ㄅㄧㄥ3" + ], + "𦼻": [ + "ㄇㄟ2" + ], + "𦼿": [ + "ㄉㄨㄣ1" + ], + "𦽀": [ + "ㄠ3" + ], + "𦽁": [ + "ㄐㄧㄥ1" + ], + "𦽂": [ + "ㄌㄨ4" + ], + "𦽃": [ + "ㄇㄧㄢ4" + ], + "𦽄": [ + "ㄉㄧㄢ4" + ], + "𦽅": [ + "ㄏㄜ4" + ], + "𦽇": [ + "ㄐㄧㄢ1" + ], + "𦽊": [ + "ㄏㄨㄚ2" + ], + "𦽋": [ + "ㄍㄡ1" + ], + "𦽎": [ + "ㄌㄨ4" + ], + "𦽏": [ + "ㄈㄨ2" + ], + "𦽐": [ + "ㄏㄨㄟ3" + ], + "𦽒": [ + "ㄗㄟ2" + ], + "𦽔": [ + "ㄐㄧㄣ4" + ], + "𦽕": [ + "ㄙ1" + ], + "𦽖": [ + "ㄑㄩㄣ1" + ], + "𦽜": [ + "ㄉㄢ4" + ], + "𦽞": [ + "ㄨㄢ4" + ], + "𦽟": [ + "ㄅㄧㄢ3" + ], + "𦽤": [ + "ㄐㄧㄚ2" + ], + "𦽫": [ + "ㄉㄢ3" + ], + "𦽬": [ + "ㄐㄧㄡ1" + ], + "𦽭": [ + "ㄒㄧㄢ2" + ], + "𦽮": [ + "ㄅㄛ2" + ], + "𦾏": [ + "ㄒㄧㄚ2" + ], + "𦾑": [ + "ㄅㄧㄠ1" + ], + "𦾕": [ + "ㄆㄛ4" + ], + "𦾘": [ + "ㄙㄠ3" + ], + "𦾙": [ + "ㄅㄟ4" + ], + "𦾚": [ + "ㄕㄚ4" + ], + "𦾛": [ + "ㄨㄟ3" + ], + "𦾝": [ + "ㄘㄤ1" + ], + "𦾞": [ + "ㄌㄨ4" + ], + "𦾩": [ + "ㄉㄢ4" + ], + "𦾫": [ + "ㄍㄨ3" + ], + "𦾬": [ + "ㄗㄚ1" + ], + "𦾭": [ + "ㄅㄤ3" + ], + "𦾮": [ + "ㄍㄢ4", + "ㄍㄢ3" + ], + "𦾱": [ + "ㄔㄠ1" + ], + "𦾲": [ + "ㄐㄧ4" + ], + "𦾳": [ + "ㄌㄧㄝ1" + ], + "𦾵": [ + "ㄑㄩㄥ2" + ], + "𦾶": [ + "ㄐㄧㄢ4" + ], + "𦾷": [ + "ㄌㄨ4" + ], + "𦾸": [ + "ㄉㄨㄢ1" + ], + "𦾹": [ + "ㄙㄨㄢ1" + ], + "𦾺": [ + "ㄧㄠ2" + ], + "𦾻": [ + "ㄧㄣ3" + ], + "𦾽": [ + "ㄊㄚ4" + ], + "𦾾": [ + "ㄧㄠ2" + ], + "𦾿": [ + "ㄐㄧㄥ1" + ], + "𦿀": [ + "ㄔㄨ2" + ], + "𦿁": [ + "ㄈㄨ2" + ], + "𦿂": [ + "ㄩㄢ2" + ], + "𦿃": [ + "ㄕㄠ3" + ], + "𦿅": [ + "ㄅㄧㄥ4" + ], + "𦿆": [ + "ㄉㄤ4" + ], + "𦿇": [ + "ㄕ4" + ], + "𦿊": [ + "ㄌㄨ2" + ], + "𦿋": [ + "ㄑㄧㄝ4" + ], + "𦿌": [ + "ㄌㄨㄛ2" + ], + "𦿍": [ + "ㄆㄛ4" + ], + "𦿏": [ + "ㄇㄥ2", + "ㄇㄥ4" + ], + "𦿐": [ + "ㄐㄧㄝ2" + ], + "𦿓": [ + "ㄐㄧ1" + ], + "𦿖": [ + "ㄌㄨ4" + ], + "𧀄": [ + "ㄔㄤ4" + ], + "𧀅": [ + "ㄇㄧㄝ4", + "ㄇㄛ4" + ], + "𧀆": [ + "ㄇㄥ2" + ], + "𧀇": [ + "ㄐㄧㄢ3" + ], + "𧀊": [ + "ㄘㄞ3" + ], + "𧀌": [ + "ㄙㄨ4" + ], + "𧀔": [ + "ㄏㄜ4" + ], + "𧀕": [ + "ㄙㄚ4" + ], + "𧀗": [ + "ㄗ1" + ], + "𧀘": [ + "ㄎㄥ1" + ], + "𧀙": [ + "ㄍㄥ3" + ], + "𧀚": [ + "ㄙ1" + ], + "𧀠": [ + "ㄊㄧ2" + ], + "𧀡": [ + "ㄓㄢ4" + ], + "𧀢": [ + "ㄒㄧㄝ4" + ], + "𧀣": [ + "ㄕㄨㄟ2" + ], + "𧀤": [ + "ㄔ3" + ], + "𧀥": [ + "ㄧㄡ1" + ], + "𧀦": [ + "ㄌㄨ3" + ], + "𧀧": [ + "ㄇㄥ4" + ], + "𧀨": [ + "ㄌㄧㄝ4" + ], + "𧀩": [ + "ㄙ4" + ], + "𧀬": [ + "ㄒㄧ1" + ], + "𧀭": [ + "ㄈㄢ2" + ], + "𧀮": [ + "ㄈㄨ1" + ], + "𧀯": [ + "ㄕㄣ3" + ], + "𧀰": [ + "ㄊㄧ2" + ], + "𧀱": [ + "ㄔㄞ4" + ], + "𧀲": [ + "ㄩㄝ4" + ], + "𧀴": [ + "ㄈㄨ1" + ], + "𧀵": [ + "ㄐㄧㄢ4", + "ㄕㄢ3" + ], + "𧀶": [ + "ㄉㄧ4" + ], + "𧀹": [ + "ㄓㄜ4" + ], + "𧀺": [ + "ㄒㄧㄝ2" + ], + "𧀻": [ + "ㄉㄢ1" + ], + "𧀿": [ + "ㄓ2" + ], + "𧁃": [ + "ㄒㄩ4" + ], + "𧁈": [ + "ㄋㄧㄝ4" + ], + "𧁉": [ + "ㄈㄢ4" + ], + "𧁊": [ + "ㄇㄥ2" + ], + "𧁋": [ + "ㄇㄧㄣ3" + ], + "𧁾": [ + "ㄌㄡ2" + ], + "𧁿": [ + "ㄉㄨ2", + "ㄕㄨ3" + ], + "𧂁": [ + "ㄓㄢ4" + ], + "𧂂": [ + "ㄐㄧㄢ4" + ], + "𧂃": [ + "ㄏㄢ4" + ], + "𧂄": [ + "ㄉㄢ4" + ], + "𧂅": [ + "ㄙㄣ1" + ], + "𧂆": [ + "ㄐㄧㄢ4" + ], + "𧂇": [ + "ㄊㄢ2", + "ㄒㄩㄣ2" + ], + "𧂈": [ + "ㄐㄧㄠ3" + ], + "𧂉": [ + "ㄆㄛ2" + ], + "𧂋": [ + "ㄆㄧㄥ2" + ], + "𧂍": [ + "ㄓㄨㄢ4", + "ㄙㄨㄣ1" + ], + "𧂏": [ + "ㄌㄧㄠ2" + ], + "𧂐": [ + "ㄗ4" + ], + "𧂒": [ + "ㄓㄨㄛ2" + ], + "𧂔": [ + "ㄏㄨ4" + ], + "𧂙": [ + "ㄒㄧ4" + ], + "𧂛": [ + "ㄇㄥ2" + ], + "𧂜": [ + "ㄐㄩ4" + ], + "𧂝": [ + "ㄇㄧㄝ4" + ], + "𧂞": [ + "ㄒㄧㄢ2" + ], + "𧂠": [ + "ㄎㄨㄟ4" + ], + "𧂡": [ + "ㄇㄥ2" + ], + "𧂢": [ + "ㄐㄧㄢ1" + ], + "𧂦": [ + "ㄋㄡ2" + ], + "𧂨": [ + "ㄉㄧ4" + ], + "𧂩": [ + "ㄙㄠ1" + ], + "𧃏": [ + "ㄔㄨ4" + ], + "𧃐": [ + "ㄓ2" + ], + "𧃑": [ + "ㄑㄧㄢ2" + ], + "𧃒": [ + "ㄌㄩ3" + ], + "𧃔": [ + "ㄓㄨㄛ2" + ], + "𧃘": [ + "ㄗㄨㄛ4" + ], + "𧃙": [ + "ㄏㄢ2" + ], + "𧃚": [ + "ㄙㄨㄟ3" + ], + "𧃛": [ + "ㄍㄡ4" + ], + "𧃝": [ + "ㄔㄡ3" + ], + "𧃞": [ + "ㄐㄧ4" + ], + "𧃟": [ + "ㄧ4" + ], + "𧃠": [ + "ㄩ2" + ], + "𧃨": [ + "ㄋㄡ2" + ], + "𧃩": [ + "ㄋㄧ3" + ], + "𧃪": [ + "ㄖㄨㄛ4" + ], + "𧃮": [ + "ㄌㄧㄣ2" + ], + "𧃱": [ + "ㄋㄧㄥ2" + ], + "𧄍": [ + "ㄑㄧㄠ2" + ], + "𧄎": [ + "ㄧㄠ2" + ], + "𧄏": [ + "ㄈㄨ4" + ], + "𧄐": [ + "ㄕㄨㄤ1" + ], + "𧄑": [ + "ㄎㄨㄟ4" + ], + "𧄒": [ + "ㄑㄩ2" + ], + "𧄓": [ + "ㄉㄨㄥ3" + ], + "𧄔": [ + "ㄕㄨ3" + ], + "𧄚": [ + "ㄌㄧ2" + ], + "𧄛": [ + "ㄐㄩ2" + ], + "𧄜": [ + "ㄖㄨㄟ3" + ], + "𧄠": [ + "ㄓㄚ2" + ], + "𧄤": [ + "ㄒㄧㄠ1" + ], + "𧄸": [ + "ㄇㄣ2", + "ㄨㄟ3" + ], + "𧄹": [ + "ㄕ2" + ], + "𧄺": [ + "ㄉㄧㄢ1" + ], + "𧄻": [ + "ㄌㄧ4" + ], + "𧄼": [ + "ㄉㄥ4", + "ㄊㄥ2" + ], + "𧄽": [ + "ㄗㄢ4", + "ㄗㄚ1" + ], + "𧄿": [ + "ㄌㄨㄛ2" + ], + "𧅀": [ + "ㄘㄢ2" + ], + "𧅃": [ + "ㄠ1" + ], + "𧅆": [ + "ㄐㄧㄢ3" + ], + "𧅈": [ + "ㄉㄧㄠ4" + ], + "𧅋": [ + "ㄧㄥ2" + ], + "𧅖": [ + "ㄧ4" + ], + "𧅗": [ + "ㄉㄤ3" + ], + "𧅘": [ + "ㄋㄡ2" + ], + "𧅚": [ + "ㄩㄝ4" + ], + "𧅮": [ + "ㄌㄧ3" + ], + "𧅯": [ + "ㄌㄧ2" + ], + "𧅰": [ + "ㄏㄨ4" + ], + "𧅲": [ + "ㄧㄡ4" + ], + "𧅺": [ + "ㄋㄤ4" + ], + "𧆂": [ + "ㄔㄣ4" + ], + "𧆉": [ + "ㄈㄥ1" + ], + "𧆊": [ + "ㄅㄧㄝ1" + ], + "𧆏": [ + "ㄇㄢ3" + ], + "𧆐": [ + "ㄍㄢ4" + ], + "𧆑": [ + "ㄏㄨㄛ4", + "ㄙㄨㄟ3" + ], + "𧆓": [ + "ㄘㄨ1" + ], + "𧆕": [ + "ㄧㄡ3" + ], + "𧆘": [ + "ㄧㄡ4" + ], + "𧆜": [ + "ㄒㄩ1" + ], + "𧆡": [ + "ㄒㄩ4" + ], + "𧆢": [ + "ㄏㄨ3" + ], + "𧆣": [ + "ㄌㄨ2" + ], + "𧆥": [ + "ㄒㄧㄚ2" + ], + "𧆦": [ + "ㄧ4" + ], + "𧆮": [ + "ㄏㄨ3" + ], + "𧆯": [ + "ㄏㄨ4" + ], + "𧆰": [ + "ㄗ3" + ], + "𧆷": [ + "ㄍㄨㄥ1" + ], + "𧆸": [ + "ㄊㄨㄟ1" + ], + "𧆹": [ + "ㄨ1" + ], + "𧆺": [ + "ㄌㄧㄥ2" + ], + "𧆻": [ + "ㄍㄨ1" + ], + "𧆼": [ + "ㄓㄨㄥ1", + "ㄉㄨㄥ1" + ], + "𧇄": [ + "ㄌㄨ2" + ], + "𧇈": [ + "ㄗㄨ4" + ], + "𧇌": [ + "ㄊㄨㄥ2" + ], + "𧇍": [ + "ㄒㄧㄚ1" + ], + "𧇎": [ + "ㄏㄜ2" + ], + "𧇓": [ + "ㄩㄝ4" + ], + "𧇙": [ + "ㄋㄢ2" + ], + "𧇚": [ + "ㄅㄛ2" + ], + "𧇛": [ + "ㄏㄨ1" + ], + "𧇜": [ + "ㄑㄧ4" + ], + "𧇝": [ + "ㄕㄨ2" + ], + "𧇞": [ + "ㄑㄧㄤ1" + ], + "𧇟": [ + "ㄓㄡ1" + ], + "𧇠": [ + "ㄧㄠ4" + ], + "𧇡": [ + "ㄍㄨ1" + ], + "𧇥": [ + "ㄅㄢ1" + ], + "𧇦": [ + "ㄎㄢ3" + ], + "𧇮": [ + "ㄏㄜ2" + ], + "𧇯": [ + "ㄐㄧ4" + ], + "𧇰": [ + "ㄏㄨ2" + ], + "𧇱": [ + "ㄧㄢ2" + ], + "𧇶": [ + "ㄔㄨㄣ1" + ], + "𧇷": [ + "ㄉㄧㄥ3" + ], + "𧇸": [ + "ㄑㄧㄡ1" + ], + "𧇹": [ + "ㄏㄡ2" + ], + "𧇼": [ + "ㄏㄠ4" + ], + "𧇿": [ + "ㄗㄨ4" + ], + "𧈁": [ + "ㄒㄧㄢ2" + ], + "𧈄": [ + "ㄒㄧㄚ4" + ], + "𧈅": [ + "ㄒㄧ4" + ], + "𧈈": [ + "ㄙㄜ4", + "ㄒㄧ4" + ], + "𧈌": [ + "ㄍㄜ2" + ], + "𧈍": [ + "ㄒㄧ4" + ], + "𧈑": [ + "ㄍㄜ2" + ], + "𧈔": [ + "ㄌㄩ3" + ], + "𧈖": [ + "ㄍㄜ2" + ], + "𧈗": [ + "ㄎㄜ4" + ], + "𧈙": [ + "ㄕㄡ4" + ], + "𧈚": [ + "ㄓㄨ4" + ], + "𧈜": [ + "ㄊㄥ2" + ], + "𧈝": [ + "ㄧㄚ4" + ], + "𧈞": [ + "ㄋㄧ4" + ], + "𧈦": [ + "ㄌㄨㄛ4" + ], + "𧈧": [ + "ㄙㄨㄟ1", + "ㄇㄥ2" + ], + "𧈪": [ + "ㄔㄢ3" + ], + "𧈭": [ + "ㄨ4" + ], + "𧈯": [ + "ㄩ1" + ], + "𧈹": [ + "ㄗㄠ3" + ], + "𧈻": [ + "ㄧ4" + ], + "𧈼": [ + "ㄒㄧ1", + "ㄐㄧ2" + ], + "𧈽": [ + "ㄏㄨㄥ2" + ], + "𧈾": [ + "ㄑㄩㄢ2" + ], + "𧈿": [ + "ㄨㄤ3" + ], + "𧉀": [ + "ㄔ3" + ], + "𧉁": [ + "ㄒㄧ4" + ], + "𧉂": [ + "ㄊㄧㄢ3" + ], + "𧉃": [ + "ㄩㄣ3" + ], + "𧉅": [ + "ㄧ1" + ], + "𧉆": [ + "ㄐㄧ2" + ], + "𧉇": [ + "ㄏㄨㄟ1" + ], + "𧉈": [ + "ㄈㄡ2", + "ㄈㄨ2" + ], + "𧉊": [ + "ㄈㄨ3" + ], + "𧉍": [ + "ㄐㄧ2" + ], + "𧉎": [ + "ㄒㄩㄢ2" + ], + "𧉑": [ + "ㄊㄞ4" + ], + "𧉓": [ + "ㄉㄨ4" + ], + "𧉗": [ + "ㄩㄢ2" + ], + "𧉛": [ + "ㄉㄧ4" + ], + "𧉞": [ + "ㄓㄨ3" + ], + "𧉟": [ + "ㄊㄞ1" + ], + "𧉡": [ + "ㄖㄨㄥ3" + ], + "𧉢": [ + "ㄒㄩㄝ2" + ], + "𧉣": [ + "ㄩ4" + ], + "𧉤": [ + "ㄈㄢ4" + ], + "𧉥": [ + "ㄅㄟ3" + ], + "𧉧": [ + "ㄑㄩ3", + "ㄐㄧㄝ2" + ], + "𧉩": [ + "ㄅㄨ4" + ], + "𧉪": [ + "ㄐㄧㄚ1" + ], + "𧉫": [ + "ㄓㄚ2" + ], + "𧉭": [ + "ㄋㄨ3" + ], + "𧉮": [ + "ㄕㄜ2", + "ㄧㄢ2", + "ㄧ2" + ], + "𧉲": [ + "ㄌㄧ4" + ], + "𧊄": [ + "ㄍㄨㄟ3" + ], + "𧊅": [ + "ㄍㄨㄞ3" + ], + "𧊇": [ + "ㄉㄞ4", + "ㄉㄜ2" + ], + "𧊏": [ + "ㄍㄞ1" + ], + "𧊒": [ + "ㄘ4" + ], + "𧊔": [ + "ㄧㄢ3" + ], + "𧊕": [ + "ㄙㄨㄥ1" + ], + "𧊖": [ + "ㄕ4" + ], + "𧊘": [ + "ㄎㄨ4" + ], + "𧊙": [ + "ㄓ3" + ], + "𧊚": [ + "ㄊㄨㄥ2" + ], + "𧊛": [ + "ㄑㄩ2" + ], + "𧊜": [ + "ㄜ4" + ], + "𧊞": [ + "ㄒㄧㄥ2" + ], + "𧊟": [ + "ㄖㄨ2" + ], + "𧊠": [ + "ㄩ2", + "ㄕㄨ1" + ], + "𧊣": [ + "ㄧ4" + ], + "𧊤": [ + "ㄧ4" + ], + "𧊥": [ + "ㄒㄩ4" + ], + "𧊦": [ + "ㄈㄡ3" + ], + "𧊧": [ + "ㄍㄜ2", + "ㄜ4" + ], + "𧊬": [ + "ㄏㄜ2" + ], + "𧊭": [ + "ㄧㄣ1" + ], + "𧊯": [ + "ㄏㄨㄥ4" + ], + "𧊱": [ + "ㄉㄨㄛ3" + ], + "𧊽": [ + "ㄒㄧㄥ2" + ], + "𧊾": [ + "ㄈㄢ2" + ], + "𧋉": [ + "ㄑㄧ1" + ], + "𧋊": [ + "ㄕㄚ1", + "ㄕㄨㄛ1" + ], + "𧋌": [ + "ㄉㄨ4" + ], + "𧋍": [ + "ㄉㄧ4", + "ㄒㄩㄝ2" + ], + "𧋎": [ + "ㄌㄧ2" + ], + "𧋏": [ + "ㄧ4" + ], + "𧋐": [ + "ㄒㄧ2" + ], + "𧋑": [ + "ㄍㄥ3" + ], + "𧋒": [ + "ㄊㄨㄥ2", + "ㄕ4" + ], + "𧋓": [ + "ㄎㄠ4" + ], + "𧋔": [ + "ㄏㄨㄥ4" + ], + "𧋕": [ + "ㄎㄨㄣ4" + ], + "𧋖": [ + "ㄋㄧㄝ4" + ], + "𧋗": [ + "ㄔ2" + ], + "𧋘": [ + "ㄊㄧ2" + ], + "𧋚": [ + "ㄊㄨㄥ2" + ], + "𧋠": [ + "ㄌㄧ2", + "ㄌㄧ3" + ], + "𧋡": [ + "ㄋㄚ4" + ], + "𧋱": [ + "ㄓㄢ1" + ], + "𧋲": [ + "ㄅㄟ3" + ], + "𧌁": [ + "ㄊㄧㄠ2" + ], + "𧌃": [ + "ㄗㄚ1" + ], + "𧌄": [ + "ㄜ4", + "ㄧㄝ4" + ], + "𧌅": [ + "ㄕㄡ4" + ], + "𧌆": [ + "ㄎㄨㄥ1" + ], + "𧌇": [ + "ㄆㄥ2" + ], + "𧌈": [ + "ㄈㄨ4" + ], + "𧌉": [ + "ㄌㄨ4" + ], + "𧌊": [ + "ㄒㄧㄝ4" + ], + "𧌋": [ + "ㄒㄧㄝ4" + ], + "𧌌": [ + "ㄒㄧㄡ1" + ], + "𧌍": [ + "ㄌㄨ4" + ], + "𧌎": [ + "ㄊㄧㄢ3" + ], + "𧌏": [ + "ㄊㄚ4" + ], + "𧌐": [ + "ㄘ4" + ], + "𧌑": [ + "ㄑㄩ1" + ], + "𧌓": [ + "ㄈㄨ4" + ], + "𧌔": [ + "ㄓ1" + ], + "𧌖": [ + "ㄒㄧㄝ4", + "ㄕㄜ4" + ], + "𧌗": [ + "ㄗㄡ3" + ], + "𧌘": [ + "ㄈㄟ4" + ], + "𧌙": [ + "ㄇㄧㄣ2" + ], + "𧌚": [ + "ㄒㄧㄥ1" + ], + "𧌝": [ + "ㄊㄨㄥ2" + ], + "𧌞": [ + "ㄑㄧ2" + ], + "𧌠": [ + "ㄆㄧㄠ1" + ], + "𧌢": [ + "ㄙㄨㄟ4" + ], + "𧌣": [ + "ㄦ3" + ], + "𧌧": [ + "ㄏㄨ3" + ], + "𧌻": [ + "ㄙㄨㄥ1" + ], + "𧌽": [ + "ㄅㄧㄝ1" + ], + "𧌾": [ + "ㄉㄧㄥ1" + ], + "𧌿": [ + "ㄅㄢ3" + ], + "𧍀": [ + "ㄕ1", + "ㄌㄧ3" + ], + "𧍁": [ + "ㄒㄧㄝ4" + ], + "𧍂": [ + "ㄒㄧㄠ2" + ], + "𧍃": [ + "ㄈㄟ3" + ], + "𧍒": [ + "ㄔㄨㄢ3", + "ㄔㄨㄞ3" + ], + "𧍓": [ + "ㄕㄨㄞ4" + ], + "𧍔": [ + "ㄧㄠ1" + ], + "𧍕": [ + "ㄐㄩㄝ2" + ], + "𧍖": [ + "ㄕㄥ3", + "ㄋㄧㄥ4" + ], + "𧍘": [ + "ㄧㄡ1" + ], + "𧍙": [ + "ㄈㄢ4" + ], + "𧍜": [ + "ㄎㄨㄟ2" + ], + "𧍝": [ + "ㄉㄧ4" + ], + "𧍟": [ + "ㄇㄠ2" + ], + "𧍠": [ + "ㄐㄧㄝ2" + ], + "𧍢": [ + "ㄧㄢ2", + "ㄧㄣ3" + ], + "𧍥": [ + "ㄨㄟ1" + ], + "𧍨": [ + "ㄙㄤ1" + ], + "𧍩": [ + "ㄐㄧㄝ2" + ], + "𧍪": [ + "ㄩ2" + ], + "𧍫": [ + "ㄨㄟ4" + ], + "𧍬": [ + "ㄜ4" + ], + "𧍭": [ + "ㄑㄩㄢ2" + ], + "𧍮": [ + "ㄐㄩㄥ3" + ], + "𧍯": [ + "ㄈㄥ2" + ], + "𧍰": [ + "ㄌㄨㄥ2" + ], + "𧍱": [ + "ㄉㄧㄝ2" + ], + "𧍲": [ + "ㄆㄧㄢ2" + ], + "𧍴": [ + "ㄌㄧㄢ4" + ], + "𧍵": [ + "ㄏㄨ2" + ], + "𧍶": [ + "ㄌㄩ4" + ], + "𧍿": [ + "ㄉㄧㄢ4" + ], + "𧎃": [ + "ㄘㄨㄟ4" + ], + "𧎄": [ + "ㄇㄡ2", + "ㄨ4" + ], + "𧎕": [ + "ㄨㄤ2" + ], + "𧎖": [ + "ㄐㄩㄢ1" + ], + "𧎗": [ + "ㄎㄜ1" + ], + "𧎘": [ + "ㄧㄢ2" + ], + "𧎙": [ + "ㄐㄧㄠ3" + ], + "𧎡": [ + "ㄍㄨㄥ1" + ], + "𧎣": [ + "ㄖㄨㄥ2" + ], + "𧎤": [ + "ㄙㄨㄣ1" + ], + "𧎥": [ + "ㄕㄢ4" + ], + "𧎨": [ + "ㄔ2" + ], + "𧎪": [ + "ㄑㄧ2" + ], + "𧎫": [ + "ㄙㄨㄛ3" + ], + "𧎭": [ + "ㄧㄝ4" + ], + "𧎮": [ + "ㄗㄠ3" + ], + "𧎯": [ + "ㄑㄩㄝ1" + ], + "𧎰": [ + "ㄓㄢ3" + ], + "𧎱": [ + "ㄅㄚ1" + ], + "𧎲": [ + "ㄗㄨ2" + ], + "𧎳": [ + "ㄙㄨㄛ3" + ], + "𧎴": [ + "ㄓㄜ2" + ], + "𧎵": [ + "ㄒㄧ4" + ], + "𧎷": [ + "ㄔㄨ3" + ], + "𧎸": [ + "ㄐㄧㄠ3" + ], + "𧎹": [ + "ㄗㄨㄟ4" + ], + "𧎺": [ + "ㄍㄜ1" + ], + "𧎻": [ + "ㄨ4", + "ㄇㄡ2" + ], + "𧎾": [ + "ㄌㄩㄝ4" + ], + "𧎿": [ + "ㄐㄧ2" + ], + "𧏂": [ + "ㄒㄧㄝ2" + ], + "𧏃": [ + "ㄒㄧㄝ2" + ], + "𧏆": [ + "ㄉㄡ3" + ], + "𧏋": [ + "ㄑㄧㄡ1" + ], + "𧏑": [ + "ㄆㄧㄥ2" + ], + "𧏓": [ + "ㄌㄧㄡ2" + ], + "𧏥": [ + "ㄐㄧㄝ2" + ], + "𧏧": [ + "ㄏㄨㄟ4" + ], + "𧏫": [ + "ㄕㄚ4" + ], + "𧏸": [ + "ㄓ2" + ], + "𧏹": [ + "ㄞ4" + ], + "𧏺": [ + "ㄒㄩ4", + "ㄡ4" + ], + "𧏻": [ + "ㄅㄧ4" + ], + "𧏽": [ + "ㄧㄝ1" + ], + "𧏾": [ + "ㄋㄧ4" + ], + "𧏿": [ + "ㄓㄨ2" + ], + "𧐁": [ + "ㄙㄨ4" + ], + "𧐃": [ + "ㄒㄧㄝ2" + ], + "𧐄": [ + "ㄩ4", + "ㄩ2" + ], + "𧐅": [ + "ㄑㄩ1" + ], + "𧐈": [ + "ㄗㄨ2" + ], + "𧐉": [ + "ㄓ1" + ], + "𧐊": [ + "ㄓㄤ1" + ], + "𧐋": [ + "ㄌㄩㄝ4" + ], + "𧐌": [ + "ㄨㄟ3" + ], + "𧐍": [ + "ㄔㄨㄥ1" + ], + "𧐎": [ + "ㄇㄧ4" + ], + "𧐐": [ + "ㄐㄧ1" + ], + "𧐒": [ + "ㄙㄨ4" + ], + "𧐓": [ + "ㄧㄝ3" + ], + "𧐔": [ + "ㄒㄧ2", + "ㄧ4" + ], + "𧐕": [ + "ㄊㄨㄢ2" + ], + "𧐖": [ + "ㄌㄧㄢ2", + "ㄌㄧㄢ4" + ], + "𧐗": [ + "ㄒㄩㄢ2" + ], + "𧐙": [ + "ㄨ4" + ], + "𧐟": [ + "ㄇㄠ2" + ], + "𧐬": [ + "ㄏㄨㄥ2" + ], + "𧐯": [ + "ㄌㄩㄝ4" + ], + "𧐰": [ + "ㄉㄨ2" + ], + "𧐱": [ + "ㄘㄨㄥ2" + ], + "𧐲": [ + "ㄔㄢ2" + ], + "𧐳": [ + "ㄌㄨ4" + ], + "𧐴": [ + "ㄙㄨ4" + ], + "𧑀": [ + "ㄌㄩㄝ4" + ], + "𧑆": [ + "ㄓㄨㄥ1" + ], + "𧑇": [ + "ㄌㄧ2" + ], + "𧑈": [ + "ㄈㄟ4" + ], + "𧑊": [ + "ㄐㄧㄥ3" + ], + "𧑋": [ + "ㄎㄨㄟ4" + ], + "𧑌": [ + "ㄧ4" + ], + "𧑍": [ + "ㄏㄨㄚ2" + ], + "𧑎": [ + "ㄘㄨㄟ4" + ], + "𧑐": [ + "ㄩ4" + ], + "𧑑": [ + "ㄅㄥ3" + ], + "𧑒": [ + "ㄊㄨㄣ1" + ], + "𧑓": [ + "ㄕㄨ3" + ], + "𧑔": [ + "ㄉㄞ4" + ], + "𧑕": [ + "ㄨ1" + ], + "𧑖": [ + "ㄘ4" + ], + "𧑗": [ + "ㄋㄧㄥ4" + ], + "𧑘": [ + "ㄉㄤ4" + ], + "𧑙": [ + "ㄗㄨ2" + ], + "𧑚": [ + "ㄏㄢ2" + ], + "𧑜": [ + "ㄆㄧ2" + ], + "𧑝": [ + "ㄔㄨㄢ4" + ], + "𧑠": [ + "ㄉㄨ4" + ], + "𧑡": [ + "ㄆㄚ2" + ], + "𧑤": [ + "ㄓㄨ1" + ], + "𧑦": [ + "ㄒㄧㄝ2" + ], + "𧑧": [ + "ㄓㄜ2" + ], + "𧑨": [ + "ㄑㄧㄝ4" + ], + "𧑩": [ + "ㄒㄩㄢ1" + ], + "𧑫": [ + "ㄙㄠ4" + ], + "𧒀": [ + "ㄅㄧ4" + ], + "𧒂": [ + "ㄈㄨ4" + ], + "𧒈": [ + "ㄌㄧ4" + ], + "𧒎": [ + "ㄜ2" + ], + "𧒐": [ + "ㄧㄝ1" + ], + "𧒑": [ + "ㄕㄨ3" + ], + "𧒓": [ + "ㄙㄜ4" + ], + "𧒕": [ + "ㄑㄧ1" + ], + "𧒖": [ + "ㄍㄨㄛ4" + ], + "𧒗": [ + "ㄙㄜ4" + ], + "𧒙": [ + "ㄈㄨ4" + ], + "𧒚": [ + "ㄇㄠ2" + ], + "𧒜": [ + "ㄌㄟ2" + ], + "𧒝": [ + "ㄓㄢ1" + ], + "𧒨": [ + "ㄔㄞ4" + ], + "𧒭": [ + "ㄨㄟ4" + ], + "𧒽": [ + "ㄌㄟ2" + ], + "𧒿": [ + "ㄗㄟ2" + ], + "𧓀": [ + "ㄧㄥ1" + ], + "𧓁": [ + "ㄞ4" + ], + "𧓂": [ + "ㄒㄧㄝ1" + ], + "𧓄": [ + "ㄅㄧ4" + ], + "𧓋": [ + "ㄔㄢ2" + ], + "𧓎": [ + "ㄆㄧ2", + "ㄅㄧ1" + ], + "𧓏": [ + "ㄘㄨㄥ2" + ], + "𧓐": [ + "ㄌㄧㄝ4" + ], + "𧓑": [ + "ㄑㄧ2" + ], + "𧓓": [ + "ㄐㄧ4" + ], + "𧓔": [ + "ㄐㄧㄥ1" + ], + "𧓕": [ + "ㄉㄨㄥ1" + ], + "𧓖": [ + "ㄈㄟ2" + ], + "𧓗": [ + "ㄧ2" + ], + "𧓘": [ + "ㄊㄨㄢ2" + ], + "𧓨": [ + "ㄇㄥ3" + ], + "𧓩": [ + "ㄘㄢ2" + ], + "𧓪": [ + "ㄧㄚ2" + ], + "𧓲": [ + "ㄧㄤ3" + ], + "𧓴": [ + "ㄊㄧㄥ2" + ], + "𧓸": [ + "ㄓ2" + ], + "𧓺": [ + "ㄒㄧㄝ4" + ], + "𧓻": [ + "ㄌㄩ4" + ], + "𧓽": [ + "ㄌㄧ4", + "ㄔㄞ4" + ], + "𧓿": [ + "ㄇㄠ2" + ], + "𧔂": [ + "ㄒㄧㄚ2" + ], + "𧔅": [ + "ㄙㄡ4" + ], + "𧔖": [ + "ㄙㄨ1" + ], + "𧔗": [ + "ㄒㄩㄝ4" + ], + "𧔝": [ + "ㄌㄧ4" + ], + "𧔞": [ + "ㄩㄢ2" + ], + "𧔡": [ + "ㄓㄢ3" + ], + "𧔣": [ + "ㄊㄚ4" + ], + "𧔤": [ + "ㄒㄩㄢ2" + ], + "𧔥": [ + "ㄨㄟ4" + ], + "𧔦": [ + "ㄧㄝ4" + ], + "𧔧": [ + "ㄆㄤ2" + ], + "𧔨": [ + "ㄇㄠ2" + ], + "𧔩": [ + "ㄊㄧ2" + ], + "𧔪": [ + "ㄆㄧㄣ2" + ], + "𧔬": [ + "ㄉㄨ4" + ], + "𧔭": [ + "ㄑㄧㄡ2" + ], + "𧔮": [ + "ㄧ3" + ], + "𧔳": [ + "ㄊㄨㄛ2" + ], + "𧔴": [ + "ㄔㄞ4" + ], + "𧔷": [ + "ㄐㄧㄣ4" + ], + "𧔼": [ + "ㄜ2" + ], + "𧕃": [ + "ㄔㄢ2" + ], + "𧕄": [ + "ㄧㄥ1" + ], + "𧕅": [ + "ㄌㄧㄥ2" + ], + "𧕇": [ + "ㄒㄧㄢ3" + ], + "𧕉": [ + "ㄑㄧ1" + ], + "𧕋": [ + "ㄩㄝ4" + ], + "𧕌": [ + "ㄌㄩㄝ4" + ], + "𧕍": [ + "ㄧㄥ2" + ], + "𧕎": [ + "ㄑㄩ2" + ], + "𧕒": [ + "ㄈㄟ3" + ], + "𧕓": [ + "ㄗ1" + ], + "𧕙": [ + "ㄑㄧㄥ1" + ], + "𧕝": [ + "ㄋㄧㄥ2" + ], + "𧕞": [ + "ㄨㄟ4" + ], + "𧕟": [ + "ㄕㄨㄤ1" + ], + "𧕡": [ + "ㄈㄨ4" + ], + "𧕤": [ + "ㄇㄛ4" + ], + "𧕥": [ + "ㄇㄛ4" + ], + "𧕦": [ + "ㄊㄨㄛ2" + ], + "𧕧": [ + "ㄔㄞ4" + ], + "𧕨": [ + "ㄗㄤ4" + ], + "𧕮": [ + "ㄌㄧ2" + ], + "𧕯": [ + "ㄌㄧ2", + "ㄕ1" + ], + "𧕱": [ + "ㄒㄧㄚ2" + ], + "𧕲": [ + "ㄐㄩㄢ3" + ], + "𧕴": [ + "ㄋㄢ2" + ], + "𧕵": [ + "ㄇㄧ4" + ], + "𧕸": [ + "ㄏㄨㄤ2" + ], + "𧕺": [ + "ㄕㄨㄤ1" + ], + "𧕼": [ + "ㄒㄩ3" + ], + "𧕿": [ + "ㄈㄟ3" + ], + "𧖁": [ + "ㄒㄧㄝ4", + "ㄨㄣ2" + ], + "𧖆": [ + "ㄊㄚ4" + ], + "𧖇": [ + "ㄩㄥ3" + ], + "𧖉": [ + "ㄓㄢ3" + ], + "𧖑": [ + "ㄑㄧㄤ2" + ], + "𧖒": [ + "ㄋㄤ2" + ], + "𧖔": [ + "ㄌㄧㄣ4" + ], + "𧖘": [ + "ㄌㄨㄢ2" + ], + "𧖙": [ + "ㄒㄧㄢ3" + ], + "𧖚": [ + "ㄈㄨ2" + ], + "𧖜": [ + "ㄌㄧㄥ2" + ], + "𧖠": [ + "ㄙㄠ1" + ], + "𧖢": [ + "ㄏㄨㄟ4" + ], + "𧖨": [ + "ㄊㄧㄥ2" + ], + "𧖪": [ + "ㄑㄧㄥ2" + ], + "𧖬": [ + "ㄏㄨㄤ1" + ], + "𧖮": [ + "ㄢ4" + ], + "𧖵": [ + "ㄇㄢ3" + ], + "𧖷": [ + "ㄋㄧ4", + "ㄋㄩ4" + ], + "𧖻": [ + "ㄍㄨㄛ2" + ], + "𧖼": [ + "ㄡ3" + ], + "𧖿": [ + "ㄒㄧㄤ4" + ], + "𧗁": [ + "ㄐㄧㄣ1" + ], + "𧗆": [ + "ㄓㄥ1" + ], + "𧗈": [ + "ㄋㄨ2" + ], + "𧗋": [ + "ㄙㄢ4" + ], + "𧗌": [ + "ㄏㄨ4" + ], + "𧗎": [ + "ㄗㄨ2" + ], + "𧗏": [ + "ㄏㄨㄟ3" + ], + "𧗒": [ + "ㄐㄧ1" + ], + "𧗖": [ + "ㄧㄝ4" + ], + "𧗦": [ + "ㄒㄧㄥ2" + ], + "𧗩": [ + "ㄌㄚ4" + ], + "𧗪": [ + "ㄩ4", + "ㄑㄩ2" + ], + "𧗫": [ + "ㄐㄩㄝ2" + ], + "𧗱": [ + "ㄕㄨ4", + "ㄩ4" + ], + "𧗲": [ + "ㄓㄥ1" + ], + "𧗴": [ + "ㄩㄥ3" + ], + "𧗶": [ + "ㄍㄜ1" + ], + "𧗸": [ + "ㄐㄧㄢ4" + ], + "𧗹": [ + "ㄒㄧㄣ4", + "ㄒㄧㄢ1" + ], + "𧗼": [ + "ㄏㄨㄟ1" + ], + "𧗿": [ + "ㄕㄨㄞ4" + ], + "𧘂": [ + "ㄔㄨㄥ1" + ], + "𧘃": [ + "ㄏㄤ2" + ], + "𧘈": [ + "ㄌㄧㄠ3" + ], + "𧘍": [ + "ㄐㄧㄤ1" + ], + "𧘏": [ + "ㄍㄨㄥ1" + ], + "𧘑": [ + "ㄓㄨㄛ2", + "ㄅㄠ4" + ], + "𧘗": [ + "ㄑㄧ3" + ], + "𧘜": [ + "ㄑㄧㄢ1" + ], + "𧘞": [ + "ㄉㄡ3" + ], + "𧘟": [ + "ㄆㄛ1", + "ㄅㄛ1" + ], + "𧘢": [ + "ㄏㄨ4" + ], + "𧘥": [ + "ㄋㄧㄡ3" + ], + "𧘧": [ + "ㄑㄧ4" + ], + "𧘨": [ + "ㄉㄧㄠ1" + ], + "𧘩": [ + "ㄉㄧㄠ1" + ], + "𧘫": [ + "ㄌㄧ4" + ], + "𧘮": [ + "ㄒㄩㄥ1" + ], + "𧘽": [ + "ㄋㄚ2" + ], + "𧘿": [ + "ㄓㄥ1" + ], + "𧙀": [ + "ㄌㄚ4" + ], + "𧙁": [ + "ㄓ4", + "ㄗ1", + "ㄐㄧ4", + "ㄆㄧ1" + ], + "𧙃": [ + "ㄜ3" + ], + "𧙄": [ + "ㄅㄛ1" + ], + "𧙅": [ + "ㄆㄛ1" + ], + "𧙆": [ + "ㄒㄩ1" + ], + "𧙇": [ + "ㄩㄥ4", + "ㄉㄢ3" + ], + "𧙈": [ + "ㄘ2" + ], + "𧙉": [ + "ㄌㄧ4" + ], + "𧙌": [ + "ㄆㄠ2" + ], + "𧙏": [ + "ㄒㄧㄡ4", + "ㄧㄡ3" + ], + "𧙛": [ + "ㄆㄨ4" + ], + "𧙝": [ + "ㄔㄜ2" + ], + "𧙞": [ + "ㄑㄧ4" + ], + "𧙡": [ + "ㄧ4" + ], + "𧙣": [ + "ㄊㄧ2" + ], + "𧙤": [ + "ㄉㄨㄛ3" + ], + "𧙥": [ + "ㄌㄨㄥ2", + "ㄊㄨㄥ3" + ], + "𧙧": [ + "ㄐㄧㄢ4" + ], + "𧙭": [ + "ㄓㄢ4" + ], + "𧙮": [ + "ㄩㄢ4" + ], + "𧙶": [ + "ㄩ2" + ], + "𧙸": [ + "ㄍㄥ1" + ], + "𧙺": [ + "ㄏㄡ4" + ], + "𧙾": [ + "ㄑㄧ3" + ], + "𧚀": [ + "ㄇㄨ4" + ], + "𧚁": [ + "ㄏㄨㄢ4" + ], + "𧚂": [ + "ㄌㄨㄥ4" + ], + "𧚃": [ + "ㄒㄧ4" + ], + "𧚄": [ + "ㄜ2" + ], + "𧚅": [ + "ㄌㄤ3" + ], + "𧚆": [ + "ㄈㄟ4" + ], + "𧚇": [ + "ㄨㄢ3", + "ㄨㄣ4" + ], + "𧚉": [ + "ㄘㄨㄣ1" + ], + "𧚋": [ + "ㄆㄥ2" + ], + "𧚏": [ + "ㄘㄨㄛ4" + ], + "𧚐": [ + "ㄨㄥ1" + ], + "𧚡": [ + "ㄍㄠ3" + ], + "𧚥": [ + "ㄘㄨㄟ4" + ], + "𧚨": [ + "ㄑㄧ4", + "ㄕㄚ4", + "ㄑㄧㄝ4" + ], + "𧚩": [ + "ㄌㄧ2" + ], + "𧚪": [ + "ㄑㄧㄝ4" + ], + "𧚫": [ + "ㄑㄧㄢ4", + "ㄐㄧㄥ1" + ], + "𧚬": [ + "ㄎㄨㄥ1" + ], + "𧚭": [ + "ㄅㄥ3" + ], + "𧚯": [ + "ㄕㄡ4" + ], + "𧚷": [ + "ㄨㄟ1" + ], + "𧛄": [ + "ㄕㄢ1" + ], + "𧛏": [ + "ㄗ1" + ], + "𧛒": [ + "ㄊㄧ4" + ], + "𧛓": [ + "ㄑㄧㄢ1" + ], + "𧛔": [ + "ㄉㄨ2" + ], + "𧛗": [ + "ㄊㄨ2" + ], + "𧛚": [ + "ㄨㄟ1" + ], + "𧛞": [ + "ㄏㄨ2" + ], + "𧛟": [ + "ㄒㄧㄥ1" + ], + "𧛡": [ + "ㄕㄢ1" + ], + "𧛢": [ + "ㄓ3" + ], + "𧛧": [ + "ㄔ3" + ], + "𧛸": [ + "ㄓㄡ4" + ], + "𧛹": [ + "ㄨㄥ1" + ], + "𧛺": [ + "ㄔ2" + ], + "𧛻": [ + "ㄙㄨㄛ3" + ], + "𧛼": [ + "ㄒㄧㄝ4" + ], + "𧛾": [ + "ㄎㄜ4" + ], + "𧜁": [ + "ㄕㄞ4", + "ㄕㄚ1", + "ㄕㄞ3" + ], + "𧜂": [ + "ㄕ1" + ], + "𧜃": [ + "ㄕㄡ4" + ], + "𧜅": [ + "ㄐㄧㄝ4" + ], + "𧜉": [ + "ㄍㄠ3" + ], + "𧜊": [ + "ㄌㄩ3" + ], + "𧜔": [ + "ㄒㄧㄝ4" + ], + "𧜚": [ + "ㄓ3" + ], + "𧜞": [ + "ㄇㄢ2", + "ㄇㄢ4" + ], + "𧜠": [ + "ㄕㄨㄞ4" + ], + "𧜡": [ + "ㄎㄜ4" + ], + "𧜣": [ + "ㄉㄧㄠ3" + ], + "𧜤": [ + "ㄧ1" + ], + "𧜦": [ + "ㄙㄨ4" + ], + "𧜧": [ + "ㄔㄨㄤ1" + ], + "𧜱": [ + "ㄘㄨㄟ4" + ], + "𧜲": [ + "ㄊㄨㄛ4" + ], + "𧜵": [ + "ㄒㄧㄝ4" + ], + "𧜽": [ + "ㄒㄩㄢ2" + ], + "𧝂": [ + "ㄏㄜ4" + ], + "𧝃": [ + "ㄐㄩㄝ2" + ], + "𧝆": [ + "ㄊㄧ4" + ], + "𧝇": [ + "ㄈㄟ4" + ], + "𧝉": [ + "ㄓ3" + ], + "𧝊": [ + "ㄕ4" + ], + "𧝋": [ + "ㄊㄨㄟ2" + ], + "𧝎": [ + "ㄔㄨㄥ1", + "ㄔㄨㄤ2", + "ㄔㄨㄥ2" + ], + "𧝐": [ + "ㄊㄧ4" + ], + "𧝑": [ + "ㄓㄢ4" + ], + "𧝒": [ + "ㄏㄥ2" + ], + "𧝔": [ + "ㄑㄩ2" + ], + "𧝕": [ + "ㄨㄟ2" + ], + "𧝗": [ + "ㄉㄨㄣ1" + ], + "𧝘": [ + "ㄅㄠ4" + ], + "𧝜": [ + "ㄌㄧㄠ2" + ], + "𧝤": [ + "ㄙ1" + ], + "𧝪": [ + "ㄅㄧㄠ3" + ], + "𧝫": [ + "ㄒㄧㄝ4" + ], + "𧝬": [ + "ㄅㄧㄝ2", + "ㄅㄧ4" + ], + "𧝮": [ + "ㄘㄨㄥ3" + ], + "𧝲": [ + "ㄐㄩ4" + ], + "𧝳": [ + "ㄏㄜ2" + ], + "𧝷": [ + "ㄎㄨㄟ4" + ], + "𧝸": [ + "ㄩㄥ1" + ], + "𧞀": [ + "ㄕㄨ4" + ], + "𧞍": [ + "ㄋㄧㄝ4" + ], + "𧞏": [ + "ㄩ2" + ], + "𧞐": [ + "ㄓㄨㄛ2" + ], + "𧞑": [ + "ㄇㄥ2" + ], + "𧞒": [ + "ㄏㄨ2" + ], + "𧞕": [ + "ㄌㄧㄝ4" + ], + "𧞝": [ + "ㄐㄧㄝ1" + ], + "𧞞": [ + "ㄒㄩㄥ2" + ], + "𧞣": [ + "ㄧㄢ3" + ], + "𧞩": [ + "ㄐㄧㄝ2" + ], + "𧞪": [ + "ㄌㄚ4", + "ㄌㄧㄝ2" + ], + "𧞫": [ + "ㄕㄨ4" + ], + "𧞬": [ + "ㄐㄧㄝ2" + ], + "𧞭": [ + "ㄌㄟ2" + ], + "𧞰": [ + "ㄗㄨ2" + ], + "𧞲": [ + "ㄕ4" + ], + "𧞸": [ + "ㄨㄟ2", + "ㄙㄨㄟ4" + ], + "𧞹": [ + "ㄉㄨ1" + ], + "𧞺": [ + "ㄙㄨ4" + ], + "𧟃": [ + "ㄒㄧㄝ2" + ], + "𧟄": [ + "ㄖㄤ2" + ], + "𧟌": [ + "ㄌㄨㄛ4" + ], + "𧟑": [ + "ㄑㄧㄢ1" + ], + "𧟘": [ + "ㄋㄤ4" + ], + "𧟙": [ + "ㄌㄧㄥ2" + ], + "𧟜": [ + "ㄐㄧ4" + ], + "𧟠": [ + "ㄇㄧㄥ4" + ], + "𧟣": [ + "ㄍㄨ3" + ], + "𧟨": [ + "ㄒㄩㄢ2" + ], + "𧟬": [ + "ㄒㄩ1" + ], + "𧟱": [ + "ㄅㄛ2" + ], + "𧟼": [ + "ㄨㄟ1" + ], + "𧠂": [ + "ㄎㄨ1" + ], + "𧠆": [ + "ㄨㄢ3" + ], + "𧠈": [ + "ㄔㄚ4" + ], + "𧠊": [ + "ㄇㄠ4" + ], + "𧠋": [ + "ㄎㄜ4" + ], + "𧠎": [ + "ㄘ4" + ], + "𧠒": [ + "ㄒㄧㄢ4" + ], + "𧠓": [ + "ㄇㄛ4" + ], + "𧠚": [ + "ㄏㄨㄣ1" + ], + "𧠛": [ + "ㄔㄢ4" + ], + "𧠜": [ + "ㄕ1" + ], + "𧠝": [ + "ㄓㄣ3" + ], + "𧠞": [ + "ㄜ4" + ], + "𧠟": [ + "ㄇㄧ2" + ], + "𧠡": [ + "ㄕ1" + ], + "𧠢": [ + "ㄑㄩ1" + ], + "𧠣": [ + "ㄕㄨ1" + ], + "𧠥": [ + "ㄘ1" + ], + "𧠦": [ + "ㄧㄢ3" + ], + "𧠩": [ + "ㄏㄨ1" + ], + "𧠪": [ + "ㄑㄧ1" + ], + "𧠫": [ + "ㄓ4", + "ㄉㄧ2", + "ㄔ4" + ], + "𧠬": [ + "ㄏㄨㄤ1" + ], + "𧠴": [ + "ㄓ3" + ], + "𧠶": [ + "ㄧㄡ3" + ], + "𧠼": [ + "ㄍㄠ4" + ], + "𧠽": [ + "ㄧㄠ3" + ], + "𧠾": [ + "ㄆㄡ1" + ], + "𧡇": [ + "ㄧ2" + ], + "𧡈": [ + "ㄔㄥ4" + ], + "𧡉": [ + "ㄐㄧ4" + ], + "𧡋": [ + "ㄞ3", + "ㄧㄚ2" + ], + "𧡍": [ + "ㄉㄨㄥ4" + ], + "𧡏": [ + "ㄙㄨㄟ4" + ], + "𧡑": [ + "ㄐㄧㄡ4" + ], + "𧡘": [ + "ㄑㄧ4", + "ㄑㄧㄣ1" + ], + "𧡙": [ + "ㄌㄧㄢ2" + ], + "𧡚": [ + "ㄒㄩㄢ3" + ], + "𧡜": [ + "ㄌㄧㄠ3" + ], + "𧡡": [ + "ㄩㄣ4" + ], + "𧡢": [ + "ㄒㄩㄢ3" + ], + "𧡣": [ + "ㄘㄡ2" + ], + "𧡤": [ + "ㄆㄧㄢ1" + ], + "𧡦": [ + "ㄎㄨㄟ2" + ], + "𧡨": [ + "ㄊㄧ2" + ], + "𧡩": [ + "ㄏㄨㄢ3" + ], + "𧡪": [ + "ㄉㄢ1", + "ㄉㄢ4" + ], + "𧡫": [ + "ㄍㄨㄟ4", + "ㄎㄨㄟ4" + ], + "𧡬": [ + "ㄔㄣ1" + ], + "𧡮": [ + "ㄕㄤ3" + ], + "𧡯": [ + "ㄐㄧ4" + ], + "𧡴": [ + "ㄌㄧㄢ4" + ], + "𧡵": [ + "ㄎㄢ1" + ], + "𧡶": [ + "ㄕㄥ4" + ], + "𧡸": [ + "ㄉㄡ1" + ], + "𧡹": [ + "ㄧㄡ2" + ], + "𧡺": [ + "ㄑㄧ2" + ], + "𧡼": [ + "ㄒㄧㄠ3" + ], + "𧢂": [ + "ㄧ4" + ], + "𧢃": [ + "ㄌㄡ2" + ], + "𧢆": [ + "ㄔㄨㄤ1" + ], + "𧢋": [ + "ㄌㄠ4" + ], + "𧢌": [ + "ㄍㄠ1" + ], + "𧢐": [ + "ㄗㄥ1" + ], + "𧢒": [ + "ㄨㄟ2", + "ㄨㄟ3" + ], + "𧢖": [ + "ㄐㄧㄢ1" + ], + "𧢛": [ + "ㄧㄥ1" + ], + "𧢜": [ + "ㄈㄢ2" + ], + "𧢝": [ + "ㄌㄧ4" + ], + "𧢞": [ + "ㄑㄧㄢ1" + ], + "𧢢": [ + "ㄧㄠ4" + ], + "𧢦": [ + "ㄎㄨㄟ1", + "ㄎㄨㄟ2", + "ㄍㄨㄟ4" + ], + "𧢧": [ + "ㄨㄟ2" + ], + "𧢩": [ + "ㄑㄩㄝ4" + ], + "𧢬": [ + "ㄒㄧㄠ3" + ], + "𧢭": [ + "ㄑㄩㄝ4" + ], + "𧢰": [ + "ㄏㄨ1" + ], + "𧢵": [ + "ㄉㄨㄛ1" + ], + "𧢶": [ + "ㄔㄨ4" + ], + "𧢹": [ + "ㄕㄣ1", + "ㄐㄧㄣ1" + ], + "𧢼": [ + "ㄓㄨㄛ2" + ], + "𧢽": [ + "ㄜ2" + ], + "𧢾": [ + "ㄐㄧ4" + ], + "𧣁": [ + "ㄊㄢ2" + ], + "𧣃": [ + "ㄆㄚ1" + ], + "𧣋": [ + "ㄐㄧㄝ4" + ], + "𧣌": [ + "ㄑㄧㄠ4" + ], + "𧣑": [ + "ㄑㄧㄢ2" + ], + "𧣒": [ + "ㄐㄩ4" + ], + "𧣕": [ + "ㄑㄧㄡ2" + ], + "𧣖": [ + "ㄊㄨㄛ2" + ], + "𧣚": [ + "ㄋㄨㄛ4" + ], + "𧣛": [ + "ㄙ4" + ], + "𧣟": [ + "ㄧ2" + ], + "𧣡": [ + "ㄍㄨ3" + ], + "𧣢": [ + "ㄏㄨㄣ4" + ], + "𧣣": [ + "ㄆㄚ2" + ], + "𧣤": [ + "ㄗ1" + ], + "𧣦": [ + "ㄐㄧㄠ1" + ], + "𧣩": [ + "ㄒㄧ3" + ], + "𧣪": [ + "ㄕㄠ3", + "ㄕㄠ4" + ], + "𧣬": [ + "ㄧ2" + ], + "𧣭": [ + "ㄓ4" + ], + "𧣵": [ + "ㄌㄨㄣ4" + ], + "𧣷": [ + "ㄓㄡ1" + ], + "𧣸": [ + "ㄐㄩㄝ2" + ], + "𧣹": [ + "ㄊㄢ2" + ], + "𧣺": [ + "ㄋㄨㄛ4", + "ㄔㄨㄛ4" + ], + "𧣻": [ + "ㄐㄩ4" + ], + "𧣼": [ + "ㄏㄨ2" + ], + "𧣾": [ + "ㄓ4" + ], + "𧤃": [ + "ㄅㄧ1" + ], + "𧤍": [ + "ㄔ4", + "ㄊㄧ4" + ], + "𧤎": [ + "ㄒㄩㄢ1" + ], + "𧤏": [ + "ㄐㄧ2" + ], + "𧤐": [ + "ㄍㄨㄚ3" + ], + "𧤑": [ + "ㄐㄩ2" + ], + "𧤒": [ + "ㄨㄛ4" + ], + "𧤓": [ + "ㄊㄨㄛ2" + ], + "𧤕": [ + "ㄑㄧㄡ2" + ], + "𧤖": [ + "ㄨㄟ1" + ], + "𧤗": [ + "ㄉㄨㄢ1" + ], + "𧤙": [ + "ㄕㄡ4" + ], + "𧤛": [ + "ㄓㄣ3" + ], + "𧤜": [ + "ㄋㄜ4", + "ㄌㄧ4" + ], + "𧤟": [ + "ㄒㄧ4" + ], + "𧤠": [ + "ㄓㄜ2" + ], + "𧤡": [ + "ㄓ4" + ], + "𧤣": [ + "ㄋㄚ2" + ], + "𧤨": [ + "ㄐㄧㄢ1" + ], + "𧤮": [ + "ㄧㄠ2" + ], + "𧤯": [ + "ㄍㄨㄛ2", + "ㄩㄝ4" + ], + "𧤲": [ + "ㄉㄧ3" + ], + "𧤴": [ + "ㄏㄨㄛ4" + ], + "𧤵": [ + "ㄐㄧㄥ1" + ], + "𧤼": [ + "ㄐㄩㄝ2" + ], + "𧤽": [ + "ㄩㄝ4", + "ㄐㄧㄢ4" + ], + "𧥄": [ + "ㄐㄧ2" + ], + "𧥆": [ + "ㄙㄨ4" + ], + "𧥈": [ + "ㄐㄧㄢ1" + ], + "𧥊": [ + "ㄎㄨㄣ1" + ], + "𧥋": [ + "ㄨㄛ4" + ], + "𧥌": [ + "ㄎㄨㄤ4" + ], + "𧥍": [ + "ㄅㄧㄠ1" + ], + "𧥎": [ + "ㄐㄩㄝ2" + ], + "𧥑": [ + "ㄅㄧ4" + ], + "𧥓": [ + "ㄔㄢ2" + ], + "𧥕": [ + "ㄗ1" + ], + "𧥖": [ + "ㄌㄧ2", + "ㄕ3" + ], + "𧥚": [ + "ㄈㄛ2" + ], + "𧥛": [ + "ㄑㄧㄢ3" + ], + "𧥜": [ + "ㄧㄢ3" + ], + "𧥞": [ + "ㄊㄢ4" + ], + "𧥟": [ + "ㄇㄛ4" + ], + "𧥣": [ + "ㄎㄡ4" + ], + "𧥤": [ + "ㄒㄧ1", + "ㄒㄧㄝ1" + ], + "𧥮": [ + "ㄏㄨ4", + "ㄉㄧ3" + ], + "𧥯": [ + "ㄏㄨ4" + ], + "𧥱": [ + "ㄈㄨ2" + ], + "𧥴": [ + "ㄧㄤ4" + ], + "𧥵": [ + "ㄍㄨㄛ4" + ], + "𧥷": [ + "ㄖㄣ2" + ], + "𧥸": [ + "ㄧㄣ4" + ], + "𧥹": [ + "ㄈㄥ1" + ], + "𧥺": [ + "ㄐㄩㄣ4", + "ㄩㄣ4" + ], + "𧥼": [ + "ㄩㄣ2" + ], + "𧥿": [ + "ㄒㄩㄣ4" + ], + "𧦁": [ + "ㄒㄧ4" + ], + "𧦎": [ + "ㄒㄧㄚ1" + ], + "𧦑": [ + "ㄏㄤ2" + ], + "𧦚": [ + "ㄏㄨ4", + "ㄉㄧ3" + ], + "𧦝": [ + "ㄏㄨ1", + "ㄏㄠ4" + ], + "𧦞": [ + "ㄆㄨ4" + ], + "𧦟": [ + "ㄈㄢ1" + ], + "𧦤": [ + "ㄐㄧㄚ1" + ], + "𧦧": [ + "ㄧ2", + "ㄊㄨㄛ1" + ], + "𧦭": [ + "ㄊㄨㄛ1", + "ㄒㄧ1" + ], + "𧦮": [ + "ㄋㄚ2" + ], + "𧦸": [ + "ㄧㄣ2" + ], + "𧦹": [ + "ㄧㄣ4" + ], + "𧧃": [ + "ㄐㄧ4" + ], + "𧧄": [ + "ㄨㄤ4" + ], + "𧧅": [ + "ㄕ4", + "ㄐㄧㄢ4" + ], + "𧧆": [ + "ㄉㄨㄟ1" + ], + "𧧇": [ + "ㄉㄨㄛ4" + ], + "𧧉": [ + "ㄊㄨㄛ2" + ], + "𧧊": [ + "ㄨㄚ1" + ], + "𧧋": [ + "ㄌㄧ4" + ], + "𧧏": [ + "ㄖㄜ4", + "ㄖㄜ3" + ], + "𧧒": [ + "ㄘ4" + ], + "𧧓": [ + "ㄒㄩ4" + ], + "𧧔": [ + "ㄓㄡ1" + ], + "𧧕": [ + "ㄗ4" + ], + "𧧜": [ + "ㄨㄤ3" + ], + "𧧝": [ + "ㄧㄚ3" + ], + "𧧟": [ + "ㄐㄧ4" + ], + "𧧠": [ + "ㄔㄠ3" + ], + "𧧩": [ + "ㄐㄧ2" + ], + "𧧵": [ + "ㄕㄢ3" + ], + "𧧶": [ + "ㄊㄨ2" + ], + "𧧸": [ + "ㄅㄧㄝ2" + ], + "𧧹": [ + "ㄒㄧ4" + ], + "𧧺": [ + "ㄆㄧ1" + ], + "𧧻": [ + "ㄓㄚ4" + ], + "𧧾": [ + "ㄏㄨㄟ4" + ], + "𧨀": [ + "ㄙㄨㄛ1", + "ㄗㄨㄛ4" + ], + "𧨂": [ + "ㄏㄜ4" + ], + "𧨄": [ + "ㄩㄝ1" + ], + "𧨆": [ + "ㄨ1", + "ㄏㄨㄤ3" + ], + "𧨈": [ + "ㄌㄧㄥ2", + "ㄨ1" + ], + "𧨊": [ + "ㄓㄚ4" + ], + "𧨋": [ + "ㄏㄨㄚ2" + ], + "𧨗": [ + "ㄔㄢ2" + ], + "𧨟": [ + "ㄜ4" + ], + "𧨡": [ + "ㄔㄣ2" + ], + "𧨧": [ + "ㄙㄨㄟ4" + ], + "𧨩": [ + "ㄊㄧㄢ3" + ], + "𧨰": [ + "ㄓ4" + ], + "𧨱": [ + "ㄊㄧ4" + ], + "𧨲": [ + "ㄠ1" + ], + "𧨳": [ + "ㄓㄨㄛ2" + ], + "𧨴": [ + "ㄗ4" + ], + "𧨵": [ + "ㄎㄜ1" + ], + "𧨷": [ + "ㄙㄜ4" + ], + "𧨸": [ + "ㄊㄧㄢ2" + ], + "𧨹": [ + "ㄌㄨ4" + ], + "𧨾": [ + "ㄕㄢ2" + ], + "𧨿": [ + "ㄓㄚ3" + ], + "𧩃": [ + "ㄔㄨㄥ1" + ], + "𧩅": [ + "ㄧㄢ4" + ], + "𧩒": [ + "ㄇㄨ3" + ], + "𧩓": [ + "ㄏㄨ1" + ], + "𧩚": [ + "ㄔ1" + ], + "𧩝": [ + "ㄙㄨ4" + ], + "𧩣": [ + "ㄋㄠ3" + ], + "𧩦": [ + "ㄐㄧ2" + ], + "𧩧": [ + "ㄉㄨㄛ2" + ], + "𧩨": [ + "ㄏㄡ4" + ], + "𧩪": [ + "ㄘㄨㄥ4" + ], + "𧩫": [ + "ㄓㄚ1", + "ㄔㄚ4" + ], + "𧩬": [ + "ㄧㄣ2" + ], + "𧩮": [ + "ㄒㄧㄠ3", + "ㄙㄡ3", + "ㄙㄡ4" + ], + "𧩰": [ + "ㄅㄧㄢ4" + ], + "𧩱": [ + "ㄅㄥ4" + ], + "𧩲": [ + "ㄌㄚ4" + ], + "𧩴": [ + "ㄔ1", + "ㄔ4" + ], + "𧩶": [ + "ㄑㄧㄚ4" + ], + "𧩸": [ + "ㄢ1" + ], + "𧩹": [ + "ㄕ1", + "ㄧ3" + ], + "𧩼": [ + "ㄔ4", + "ㄓ3" + ], + "𧪅": [ + "ㄋㄨ4" + ], + "𧪇": [ + "ㄐㄧ4" + ], + "𧪓": [ + "ㄡ3" + ], + "𧪕": [ + "ㄒㄧㄚ1" + ], + "𧪘": [ + "ㄔㄞ4", + "ㄘㄨㄛ3", + "ㄐㄧㄝ1" + ], + "𧪚": [ + "ㄞ2" + ], + "𧪝": [ + "ㄕㄥ4" + ], + "𧪞": [ + "ㄏㄜ2", + "ㄍㄜ2" + ], + "𧪠": [ + "ㄐㄧ2" + ], + "𧪡": [ + "ㄔ1" + ], + "𧪢": [ + "ㄒㄧ4" + ], + "𧪣": [ + "ㄓㄥ1" + ], + "𧪦": [ + "ㄊㄚ1" + ], + "𧪨": [ + "ㄇㄚ4" + ], + "𧪫": [ + "ㄆㄧ1" + ], + "𧪮": [ + "ㄒㄩ1", + "ㄏㄨㄚ2" + ], + "𧪯": [ + "ㄑㄧㄢ3" + ], + "𧪹": [ + "ㄒㄧㄚ4" + ], + "𧫊": [ + "ㄩ4" + ], + "𧫑": [ + "ㄐㄧㄝ2" + ], + "𧫒": [ + "ㄒㄧㄚ4" + ], + "𧫓": [ + "ㄌㄨ3" + ], + "𧫕": [ + "ㄑㄧㄝ4" + ], + "𧫗": [ + "ㄔㄚ4" + ], + "𧫛": [ + "ㄧㄤ4" + ], + "𧫜": [ + "ㄐㄧ4" + ], + "𧫝": [ + "ㄕㄚ3" + ], + "𧫞": [ + "ㄌㄡ4" + ], + "𧫠": [ + "ㄐㄧ1" + ], + "𧫡": [ + "ㄓ4" + ], + "𧫢": [ + "ㄨㄤ4" + ], + "𧫤": [ + "ㄅㄧ4" + ], + "𧫥": [ + "ㄢ1" + ], + "𧫦": [ + "ㄧ1" + ], + "𧫧": [ + "ㄢ1", + "ㄢ4" + ], + "𧫬": [ + "ㄌㄧ2" + ], + "𧫹": [ + "ㄒㄧㄢ1" + ], + "𧫾": [ + "ㄐㄧㄡ4" + ], + "𧫿": [ + "ㄊㄢ3" + ], + "𧬁": [ + "ㄏㄠ4" + ], + "𧬂": [ + "ㄏㄜ4" + ], + "𧬅": [ + "ㄓㄚ1" + ], + "𧬆": [ + "ㄓㄢ3" + ], + "𧬇": [ + "ㄧ4" + ], + "𧬈": [ + "ㄒㄧ4" + ], + "𧬊": [ + "ㄒㄧ4", + "ㄙ2" + ], + "𧬋": [ + "ㄈㄚ4" + ], + "𧬌": [ + "ㄧㄢ2" + ], + "𧬏": [ + "ㄇㄨ3" + ], + "𧬕": [ + "ㄍㄨ1" + ], + "𧬞": [ + "ㄩㄣ2" + ], + "𧬤": [ + "ㄓㄨㄥ4" + ], + "𧬦": [ + "ㄔㄢ3" + ], + "𧬧": [ + "ㄔㄨㄤ2" + ], + "𧬨": [ + "ㄏㄨㄟ4" + ], + "𧬩": [ + "ㄗㄚ2" + ], + "𧬪": [ + "ㄍㄨㄣ4" + ], + "𧬫": [ + "ㄐㄧㄢ3" + ], + "𧬬": [ + "ㄧㄚ2" + ], + "𧬰": [ + "ㄒㄧㄤ4", + "ㄒㄧㄤ3" + ], + "𧬱": [ + "ㄏㄜ4" + ], + "𧭃": [ + "ㄉㄢ4" + ], + "𧭇": [ + "ㄇㄧㄢ2" + ], + "𧭈": [ + "ㄋㄧㄥ2", + "ㄋㄧㄥ4" + ], + "𧭊": [ + "ㄇㄥ2" + ], + "𧭌": [ + "ㄌㄧㄝ4" + ], + "𧭍": [ + "ㄓㄡ4" + ], + "𧭎": [ + "ㄆㄨ1" + ], + "𧭏": [ + "ㄊㄞ1" + ], + "𧭓": [ + "ㄧㄥ2" + ], + "𧭔": [ + "ㄊㄥ2" + ], + "𧭕": [ + "ㄍㄨㄛ2" + ], + "𧭚": [ + "ㄑㄧㄤ2" + ], + "𧭜": [ + "ㄌㄩ4" + ], + "𧭝": [ + "ㄙㄚ4" + ], + "𧭞": [ + "ㄌㄧㄝ4" + ], + "𧭟": [ + "ㄔ2" + ], + "𧭠": [ + "ㄒㄧㄝ3" + ], + "𧭣": [ + "ㄍㄨㄛ2" + ], + "𧭤": [ + "ㄅㄠ4", + "ㄅㄠ2" + ], + "𧭥": [ + "ㄌㄨㄛ4" + ], + "𧭦": [ + "ㄐㄩㄢ4", + "ㄒㄩㄢ1" + ], + "𧭪": [ + "ㄜ4" + ], + "𧭳": [ + "ㄏㄜ2" + ], + "𧭵": [ + "ㄇㄟ4" + ], + "𧭸": [ + "ㄒㄧㄝ4" + ], + "𧭹": [ + "ㄆㄧㄣ2" + ], + "𧭻": [ + "ㄏㄢ1" + ], + "𧭼": [ + "ㄔㄣ4" + ], + "𧭽": [ + "ㄕㄢ4" + ], + "𧭾": [ + "ㄏㄨㄟ4" + ], + "𧮆": [ + "ㄧㄥ1" + ], + "𧮈": [ + "ㄐㄧㄢ3" + ], + "𧮍": [ + "ㄢ1" + ], + "𧮑": [ + "ㄊㄚ4" + ], + "𧮒": [ + "ㄧ1" + ], + "𧮓": [ + "ㄊㄨㄟ2" + ], + "𧮗": [ + "ㄌㄧㄡ2" + ], + "𧮙": [ + "ㄗㄨㄛ2" + ], + "𧮛": [ + "ㄌㄧ2" + ], + "𧮝": [ + "ㄆㄧㄣ2" + ], + "𧮞": [ + "ㄒㄩㄝ4" + ], + "𧮠": [ + "ㄋㄣ4" + ], + "𧮡": [ + "ㄉㄡ4" + ], + "𧮤": [ + "ㄌㄢ3" + ], + "𧮪": [ + "ㄓㄢ1" + ], + "𧮫": [ + "ㄐㄩㄝ2" + ], + "𧮬": [ + "ㄓㄣ1", + "ㄐㄩㄝ2" + ], + "𧮭": [ + "ㄐㄧ2" + ], + "𧮮": [ + "ㄑㄧㄢ1" + ], + "𧮰": [ + "ㄏㄢ1" + ], + "𧮱": [ + "ㄈㄣ2" + ], + "𧮳": [ + "ㄏㄢ1" + ], + "𧮴": [ + "ㄏㄨㄥ2" + ], + "𧮵": [ + "ㄏㄜ2" + ], + "𧮶": [ + "ㄏㄡ2" + ], + "𧮺": [ + "ㄓㄢ4" + ], + "𧮻": [ + "ㄔㄡ2", + "ㄒㄧㄠ1" + ], + "𧮼": [ + "ㄊㄞ4" + ], + "𧮽": [ + "ㄑㄧㄢ4" + ], + "𧮿": [ + "ㄕㄜ4" + ], + "𧯀": [ + "ㄧㄥ1" + ], + "𧯃": [ + "ㄑㄧㄣ1" + ], + "𧯆": [ + "ㄏㄨㄛ4" + ], + "𧯈": [ + "ㄒㄧ4" + ], + "𧯉": [ + "ㄏㄜ4" + ], + "𧯊": [ + "ㄒㄧ4" + ], + "𧯋": [ + "ㄒㄧㄚ1" + ], + "𧯌": [ + "ㄏㄠ1" + ], + "𧯍": [ + "ㄌㄠ4" + ], + "𧯏": [ + "ㄌㄧ4" + ], + "𧯒": [ + "ㄔㄥ1" + ], + "𧯖": [ + "ㄐㄩㄣ4" + ], + "𧯗": [ + "ㄒㄧ1" + ], + "𧯘": [ + "ㄏㄢ3" + ], + "𧯞": [ + "ㄉㄡ4", + "ㄉㄡ1" + ], + "𧯠": [ + "ㄉㄡ1" + ], + "𧯡": [ + "ㄨㄢ1", + "ㄩㄝ4" + ], + "𧯤": [ + "ㄉㄡ1" + ], + "𧯥": [ + "ㄗㄞ4" + ], + "𧯦": [ + "ㄐㄩㄢ4" + ], + "𧯨": [ + "ㄌㄡ3" + ], + "𧯩": [ + "ㄔㄨ4" + ], + "𧯫": [ + "ㄓㄥ1" + ], + "𧯯": [ + "ㄑㄧ2" + ], + "𧯰": [ + "ㄎㄢ4" + ], + "𧯱": [ + "ㄏㄨㄛ4", + "ㄩ4" + ], + "𧯲": [ + "ㄌㄞ2" + ], + "𧯺": [ + "ㄍㄞ1" + ], + "𧯼": [ + "ㄕㄡ4" + ], + "𧯾": [ + "ㄉㄨㄥ1" + ], + "𧰃": [ + "ㄌㄡ2" + ], + "𧰄": [ + "ㄊㄨㄢ1" + ], + "𧰇": [ + "ㄩ2" + ], + "𧰈": [ + "ㄨ4" + ], + "𧰊": [ + "ㄊㄧㄢ2" + ], + "𧰒": [ + "ㄍㄨㄛ2" + ], + "𧰘": [ + "ㄊㄢ2" + ], + "𧰙": [ + "ㄑㄧ2" + ], + "𧰠": [ + "ㄌㄧㄝ4" + ], + "𧰡": [ + "ㄌㄧ4" + ], + "𧰣": [ + "ㄒㄩㄣ1" + ], + "𧰨": [ + "ㄍㄥ4" + ], + "𧰩": [ + "ㄊㄧㄥ1" + ], + "𧰪": [ + "ㄏㄢ4" + ], + "𧰫": [ + "ㄔㄨ4" + ], + "𧰭": [ + "ㄊㄨㄣ2" + ], + "𧰯": [ + "ㄒㄩㄥ2" + ], + "𧰰": [ + "ㄧㄡ2" + ], + "𧰱": [ + "ㄇㄛ4" + ], + "𧰲": [ + "ㄔ3" + ], + "𧰴": [ + "ㄏㄨ3" + ], + "𧰵": [ + "ㄉㄨ1", + "ㄉㄨ2", + "ㄓㄨㄛ2" + ], + "𧰷": [ + "ㄇㄨ3" + ], + "𧰹": [ + "ㄋㄚ4" + ], + "𧰻": [ + "ㄌㄧㄥ2" + ], + "𧰿": [ + "ㄞ4" + ], + "𧱀": [ + "ㄒㄧㄢ1" + ], + "𧱄": [ + "ㄎㄢ3" + ], + "𧱅": [ + "ㄙ4" + ], + "𧱆": [ + "ㄙㄢ1" + ], + "𧱊": [ + "ㄧ4" + ], + "𧱏": [ + "ㄧ4" + ], + "𧱐": [ + "ㄒㄧㄠ4", + "ㄒㄧㄠ1" + ], + "𧱒": [ + "ㄓ1", + "ㄓㄨㄛ1" + ], + "𧱓": [ + "ㄉㄡ4" + ], + "𧱘": [ + "ㄇㄞ4" + ], + "𧱜": [ + "ㄌㄨㄣ2" + ], + "𧱝": [ + "ㄐㄩㄝ2", + "ㄐㄩㄣ4" + ], + "𧱡": [ + "ㄑㄧㄤ1" + ], + "𧱢": [ + "ㄌㄧㄥ2" + ], + "𧱩": [ + "ㄆㄧㄢ2" + ], + "𧱪": [ + "ㄘㄡ4" + ], + "𧱫": [ + "ㄉㄨㄛ4" + ], + "𧱬": [ + "ㄩ3" + ], + "𧱰": [ + "ㄓㄨㄛ1" + ], + "𧱲": [ + "ㄒㄧ4" + ], + "𧱳": [ + "ㄏㄨㄞ4" + ], + "𧱴": [ + "ㄇㄧㄥ2" + ], + "𧱵": [ + "ㄊㄤ2" + ], + "𧱹": [ + "ㄆㄨ1" + ], + "𧱻": [ + "ㄇㄧ4" + ], + "𧱼": [ + "ㄇㄢ2" + ], + "𧱾": [ + "ㄍㄨㄞ1" + ], + "𧲀": [ + "ㄑㄧㄢ1" + ], + "𧲂": [ + "ㄌㄧㄣ2" + ], + "𧲃": [ + "ㄇㄧㄣ3" + ], + "𧲄": [ + "ㄨㄟ3" + ], + "𧲅": [ + "ㄘㄥ2" + ], + "𧲇": [ + "ㄏㄨ4" + ], + "𧲈": [ + "ㄙㄨㄟ2" + ], + "𧲋": [ + "ㄐㄩ4" + ], + "𧲌": [ + "ㄕㄚ4" + ], + "𧲍": [ + "ㄇㄥ2" + ], + "𧲗": [ + "ㄨㄟ2" + ], + "𧲘": [ + "ㄒㄧ1" + ], + "𧲙": [ + "ㄌㄧㄥ4" + ], + "𧲜": [ + "ㄅㄧ4" + ], + "𧲝": [ + "ㄨㄟ4" + ], + "𧲡": [ + "ㄌㄧ4" + ], + "𧲢": [ + "ㄓㄜ2" + ], + "𧲤": [ + "ㄩㄥ2" + ], + "𧲥": [ + "ㄏㄨ2" + ], + "𧲦": [ + "ㄨㄢ2", + "ㄏㄜ2" + ], + "𧲧": [ + "ㄅㄚ1" + ], + "𧲨": [ + "ㄐㄧㄢ1" + ], + "𧲭": [ + "ㄗㄨㄛ3" + ], + "𧲮": [ + "ㄓㄢ3" + ], + "𧲯": [ + "ㄅㄛ1" + ], + "𧲰": [ + "ㄑㄧㄡ1", + "ㄔㄨ1" + ], + "𧲱": [ + "ㄧㄤ1" + ], + "𧲴": [ + "ㄉㄨㄥ1" + ], + "𧲵": [ + "ㄑㄩ2" + ], + "𧲺": [ + "ㄆㄧ2" + ], + "𧲻": [ + "ㄓㄞ3" + ], + "𧲾": [ + "ㄕㄢ1" + ], + "𧲿": [ + "ㄍㄡ4" + ], + "𧳀": [ + "ㄅㄧㄠ4", + "ㄋㄠ3" + ], + "𧳁": [ + "ㄧ2" + ], + "𧳂": [ + "ㄈㄨ2" + ], + "𧳄": [ + "ㄒㄧㄣ4" + ], + "𧳅": [ + "ㄕ4", + "ㄕ3" + ], + "𧳆": [ + "ㄊㄨㄥ1", + "ㄊㄨㄥ2" + ], + "𧳉": [ + "ㄉㄧㄥ1" + ], + "𧳌": [ + "ㄊㄨ1" + ], + "𧳍": [ + "ㄒㄧㄠ1" + ], + "𧳎": [ + "ㄨ2" + ], + "𧳏": [ + "ㄆㄟ2" + ], + "𧳐": [ + "ㄏㄨㄟ1", + "ㄒㄧ1" + ], + "𧳕": [ + "ㄌㄞ2" + ], + "𧳙": [ + "ㄙ4" + ], + "𧳚": [ + "ㄘㄨㄟ3" + ], + "𧳛": [ + "ㄕㄚ4" + ], + "𧳜": [ + "ㄓㄡ3" + ], + "𧳝": [ + "ㄓㄠ4" + ], + "𧳞": [ + "ㄨㄟ2" + ], + "𧳟": [ + "ㄌㄞ2" + ], + "𧳠": [ + "ㄅㄧ4", + "ㄅㄧ3" + ], + "𧳣": [ + "ㄉㄨㄥ3" + ], + "𧳦": [ + "ㄋㄠ3" + ], + "𧳧": [ + "ㄒㄧㄝ1" + ], + "𧳨": [ + "ㄖㄠ3" + ], + "𧳩": [ + "ㄊㄨㄢ4" + ], + "𧳪": [ + "ㄨㄟ4" + ], + "𧳫": [ + "ㄧㄡ2", + "ㄐㄧㄡ1", + "ㄑㄧㄡ2", + "ㄧㄡ4" + ], + "𧳬": [ + "ㄇㄟ2" + ], + "𧳭": [ + "ㄩㄢ2" + ], + "𧳮": [ + "ㄓㄨㄥ4" + ], + "𧳶": [ + "ㄙㄡ1" + ], + "𧳸": [ + "ㄍㄨ2" + ], + "𧳹": [ + "ㄕㄠ4" + ], + "𧳻": [ + "ㄓㄠ3" + ], + "𧳼": [ + "ㄆㄧ2" + ], + "𧳿": [ + "ㄊㄨㄥ1" + ], + "𧴁": [ + "ㄔ1" + ], + "𧴂": [ + "ㄆㄥ2" + ], + "𧴃": [ + "ㄔㄢ2" + ], + "𧴄": [ + "ㄩㄥ1" + ], + "𧴅": [ + "ㄕㄨㄤ3" + ], + "𧴇": [ + "ㄨ3" + ], + "𧴉": [ + "ㄆㄧ2" + ], + "𧴊": [ + "ㄏㄨㄢ4" + ], + "𧴌": [ + "ㄈㄨ2" + ], + "𧴎": [ + "ㄅㄧㄠ4" + ], + "𧴓": [ + "ㄋㄠ2" + ], + "𧴕": [ + "ㄅㄧㄠ4" + ], + "𧴖": [ + "ㄨㄟ4" + ], + "𧴗": [ + "ㄩㄥ1" + ], + "𧴙": [ + "ㄋㄠ3" + ], + "𧴚": [ + "ㄍㄨㄞ4" + ], + "𧴠": [ + "ㄌㄧ4" + ], + "𧴢": [ + "ㄒㄧㄣ4" + ], + "𧴣": [ + "ㄧㄢ2" + ], + "𧴤": [ + "ㄆㄛ4" + ], + "𧴥": [ + "ㄆㄟ2" + ], + "𧴪": [ + "ㄙㄨㄛ3" + ], + "𧴬": [ + "ㄖㄣ4" + ], + "𧴭": [ + "ㄕㄢ3" + ], + "𧴲": [ + "ㄙㄨㄛ3" + ], + "𧴸": [ + "ㄉㄢ1" + ], + "𧴺": [ + "ㄇㄣ4" + ], + "𧵃": [ + "ㄕㄡ3" + ], + "𧵈": [ + "ㄍㄡ4" + ], + "𧵊": [ + "ㄏㄢ1", + "ㄏㄢ4", + "ㄊㄢ4" + ], + "𧵋": [ + "ㄕ4" + ], + "𧵌": [ + "ㄧㄤ3" + ], + "𧵎": [ + "ㄍㄨ3" + ], + "𧵛": [ + "ㄎㄜ1" + ], + "𧵞": [ + "ㄐㄩ1" + ], + "𧵠": [ + "ㄆㄞ4" + ], + "𧵡": [ + "ㄘㄜ4" + ], + "𧵢": [ + "ㄅㄠ1" + ], + "𧵣": [ + "ㄒㄩㄥ1", + "ㄇㄧㄣ2" + ], + "𧵤": [ + "ㄘㄞ2", + "ㄓㄨ4" + ], + "𧵧": [ + "ㄌㄧㄣ3" + ], + "𧵨": [ + "ㄞ4" + ], + "𧵬": [ + "ㄇㄧ4", + "ㄕㄣ4" + ], + "𧵭": [ + "ㄌㄞ3" + ], + "𧵱": [ + "ㄒㄧㄠ1" + ], + "𧵳": [ + "ㄕㄜ2" + ], + "𧵻": [ + "ㄏㄨㄛ2" + ], + "𧵼": [ + "ㄋㄧ4" + ], + "𧶄": [ + "ㄓㄥ4" + ], + "𧶆": [ + "ㄌㄧㄣ4" + ], + "𧶇": [ + "ㄓㄚ2" + ], + "𧶊": [ + "ㄩㄣ2" + ], + "𧶍": [ + "ㄒㄩ4" + ], + "𧶔": [ + "ㄔㄥ2" + ], + "𧶕": [ + "ㄨㄛ3" + ], + "𧶖": [ + "ㄒㄧ1" + ], + "𧶙": [ + "ㄅㄟ4" + ], + "𧶜": [ + "ㄕㄤ1", + "ㄕㄤ3" + ], + "𧶠": [ + "ㄩ4" + ], + "𧶡": [ + "ㄇㄧ4" + ], + "𧶲": [ + "ㄉㄨㄢ3", + "ㄓㄨㄢ4" + ], + "𧶵": [ + "ㄔㄚ4" + ], + "𧶶": [ + "ㄈㄢ4" + ], + "𧶷": [ + "ㄗㄜ2" + ], + "𧶸": [ + "ㄔㄥ4" + ], + "𧶺": [ + "ㄊㄧㄥ2" + ], + "𧷅": [ + "ㄧ2" + ], + "𧷋": [ + "ㄧㄠ1" + ], + "𧷎": [ + "ㄎㄨ1" + ], + "𧷐": [ + "ㄈㄣ2" + ], + "𧷑": [ + "ㄒㄧㄝ2" + ], + "𧷒": [ + "ㄔㄥ4" + ], + "𧷛": [ + "ㄎㄨㄟ4" + ], + "𧷟": [ + "ㄅㄧㄣ1" + ], + "𧷡": [ + "ㄌㄡ2", + "ㄌㄡ4" + ], + "𧷥": [ + "ㄧ4" + ], + "𧷦": [ + "ㄇㄧ4" + ], + "𧷧": [ + "ㄒㄧㄝ4" + ], + "𧷱": [ + "ㄍㄨㄟ1" + ], + "𧷳": [ + "ㄌㄨㄛ2" + ], + "𧷶": [ + "ㄕㄢ4" + ], + "𧷾": [ + "ㄐㄩ2" + ], + "𧷿": [ + "ㄉㄨ1" + ], + "𧸂": [ + "ㄒㄧㄢ1" + ], + "𧸅": [ + "ㄓ3" + ], + "𧸈": [ + "ㄅㄧㄣ4" + ], + "𧸕": [ + "ㄓ3" + ], + "𧸖": [ + "ㄓㄨㄢ4", + "ㄌㄧㄢ2" + ], + "𧸗": [ + "ㄒㄩㄝ2" + ], + "𧸘": [ + "ㄌㄧㄢ4", + "ㄅㄧㄢ3", + "ㄐㄧㄢ3" + ], + "𧸙": [ + "ㄙㄨㄟ4" + ], + "𧸦": [ + "ㄌㄢ4" + ], + "𧸧": [ + "ㄐㄩ4" + ], + "𧸨": [ + "ㄇㄧㄢ2" + ], + "𧸩": [ + "ㄒㄩㄣ4" + ], + "𧸪": [ + "ㄓㄢ4" + ], + "𧸫": [ + "ㄍㄨㄣ4" + ], + "𧸲": [ + "ㄓ4" + ], + "𧸽": [ + "ㄨㄟ4" + ], + "𧸾": [ + "ㄑㄩㄢ3", + "ㄒㄩㄢ4" + ], + "𧸿": [ + "ㄔㄞ4" + ], + "𧹈": [ + "ㄖㄥ2" + ], + "𧹊": [ + "ㄩㄝ4" + ], + "𧹌": [ + "ㄗ1" + ], + "𧹐": [ + "ㄌㄨㄛ4" + ], + "𧹑": [ + "ㄍㄨㄟ4" + ], + "𧹓": [ + "ㄔㄥ2" + ], + "𧹕": [ + "ㄐㄩ1" + ], + "𧹖": [ + "ㄊㄧㄢ3" + ], + "𧹗": [ + "ㄨㄢ4" + ], + "𧹛": [ + "ㄓ1" + ], + "𧹞": [ + "ㄋㄢ3", + "ㄋㄧㄢ3" + ], + "𧹣": [ + "ㄏㄢ1" + ], + "𧹨": [ + "ㄒㄧ1" + ], + "𧹩": [ + "ㄌㄧㄣ2" + ], + "𧹬": [ + "ㄧㄢ1" + ], + "𧹭": [ + "ㄒㄩ4" + ], + "𧹲": [ + "ㄏㄨ4" + ], + "𧹳": [ + "ㄍㄢ4" + ], + "𧹴": [ + "ㄒㄩ4", + "ㄏㄨㄛ4" + ], + "𧹶": [ + "ㄒㄧ4" + ], + "𧹺": [ + "ㄘㄨㄟ4" + ], + "𧹽": [ + "ㄒㄧ4" + ], + "𧹾": [ + "ㄏㄨ2" + ], + "𧺅": [ + "ㄧㄢ1" + ], + "𧺎": [ + "ㄧ4" + ], + "𧺏": [ + "ㄔ2" + ], + "𧺐": [ + "ㄐㄩㄝ2" + ], + "𧺒": [ + "ㄗㄨ2" + ], + "𧺜": [ + "ㄐㄧㄠ4" + ], + "𧺝": [ + "ㄧ4" + ], + "𧺟": [ + "ㄊㄢ3" + ], + "𧺠": [ + "ㄔ4" + ], + "𧺡": [ + "ㄅㄚ2" + ], + "𧺢": [ + "ㄊㄡ4", + "ㄧ4" + ], + "𧺣": [ + "ㄗㄨㄥ1" + ], + "𧺤": [ + "ㄑㄧㄡ2", + "ㄐㄩ1" + ], + "𧺧": [ + "ㄔ4" + ], + "𧺨": [ + "ㄒㄧ3" + ], + "𧺰": [ + "ㄋㄧ4" + ], + "𧺲": [ + "ㄘㄨ1" + ], + "𧺴": [ + "ㄨ3" + ], + "𧺶": [ + "ㄔㄨ4" + ], + "𧺷": [ + "ㄙㄨ1" + ], + "𧺸": [ + "ㄩㄥ2" + ], + "𧺹": [ + "ㄐㄩ3" + ], + "𧺺": [ + "ㄅㄚ2" + ], + "𧺼": [ + "ㄘ3" + ], + "𧺽": [ + "ㄉㄧ4" + ], + "𧺾": [ + "ㄆㄢ3" + ], + "𧺿": [ + "ㄔ4", + "ㄧ4" + ], + "𧻁": [ + "ㄑㄧㄡ3" + ], + "𧻃": [ + "ㄧㄢ2", + "ㄑㄩ4" + ], + "𧻍": [ + "ㄓㄞ3" + ], + "𧻒": [ + "ㄒㄧㄢ4" + ], + "𧻓": [ + "ㄅㄥ4" + ], + "𧻔": [ + "ㄎㄨㄤ1" + ], + "𧻕": [ + "ㄑㄧ4" + ], + "𧻖": [ + "ㄓㄡ1" + ], + "𧻗": [ + "ㄐㄩ2" + ], + "𧻘": [ + "ㄑㄧㄝ4" + ], + "𧻙": [ + "ㄇㄛ4", + "ㄆㄛ4" + ], + "𧻚": [ + "ㄩㄢ2" + ], + "𧻜": [ + "ㄍㄨㄟ4", + "ㄎㄨㄟ3" + ], + "𧻝": [ + "ㄗㄨㄟ1" + ], + "𧻧": [ + "ㄑㄧㄝ4" + ], + "𧻰": [ + "ㄏㄨ2", + "ㄗㄠ4" + ], + "𧻱": [ + "ㄑㄧㄡ2" + ], + "𧻲": [ + "ㄏㄞ2", + "ㄎㄨㄟ1" + ], + "𧻳": [ + "ㄈㄨ4" + ], + "𧻴": [ + "ㄌㄤ4" + ], + "𧻵": [ + "ㄕㄚ4" + ], + "𧻶": [ + "ㄒㄧ1" + ], + "𧻷": [ + "ㄅㄨ1" + ], + "𧻸": [ + "ㄕ4" + ], + "𧻹": [ + "ㄩㄥ3" + ], + "𧻺": [ + "ㄍㄨㄤ1", + "ㄎㄨㄤ1" + ], + "𧻼": [ + "ㄋㄧㄝ4" + ], + "𧻿": [ + "ㄏㄡ3" + ], + "𧼊": [ + "ㄇㄧ4" + ], + "𧼎": [ + "ㄜ4" + ], + "𧼏": [ + "ㄒㄧㄢ2" + ], + "𧼐": [ + "ㄩㄣ3", + "ㄑㄩㄣ1" + ], + "𧼑": [ + "ㄒㄩ4" + ], + "𧼒": [ + "ㄑㄧㄣ3" + ], + "𧼓": [ + "ㄉㄨㄥ1" + ], + "𧼔": [ + "ㄌㄥ2" + ], + "𧼕": [ + "ㄑㄧ4" + ], + "𧼖": [ + "ㄌㄢ2" + ], + "𧼗": [ + "ㄈㄨ2" + ], + "𧼘": [ + "ㄑㄧ3" + ], + "𧼙": [ + "ㄔㄨㄥ3" + ], + "𧼜": [ + "ㄘㄨ4" + ], + "𧼟": [ + "ㄇㄛ4" + ], + "𧼠": [ + "ㄅㄟ1" + ], + "𧼤": [ + "ㄉㄠ4" + ], + "𧼨": [ + "ㄐㄧㄝ2", + "ㄐㄩㄝ2" + ], + "𧼩": [ + "ㄔㄨㄥ4", + "ㄉㄨㄥ4" + ], + "𧼪": [ + "ㄔ4" + ], + "𧼫": [ + "ㄩ4" + ], + "𧼬": [ + "ㄘㄨㄟ1" + ], + "𧼭": [ + "ㄙㄨ4", + "ㄙㄡ1", + "ㄙㄡ3", + "ㄑㄧㄡ4" + ], + "𧼮": [ + "ㄊㄧ4" + ], + "𧼯": [ + "ㄕㄨ4", + "ㄩ2" + ], + "𧼰": [ + "ㄓㄚ2" + ], + "𧼱": [ + "ㄈㄨ2", + "ㄅㄧ2" + ], + "𧼳": [ + "ㄔㄜ4" + ], + "𧼴": [ + "ㄈㄛ2", + "ㄓ4" + ], + "𧼵": [ + "ㄏㄡ2" + ], + "𧼶": [ + "ㄓㄚ2" + ], + "𧽄": [ + "ㄐㄧㄝ2" + ], + "𧽅": [ + "ㄓㄚ2" + ], + "𧽆": [ + "ㄓㄢ1" + ], + "𧽉": [ + "ㄧㄢ3" + ], + "𧽊": [ + "ㄏㄞ2" + ], + "𧽋": [ + "ㄨ3" + ], + "𧽌": [ + "ㄏㄨㄚ2" + ], + "𧽍": [ + "ㄉㄧㄢ1", + "ㄉㄧㄢ4" + ], + "𧽎": [ + "ㄧㄠ2" + ], + "𧽏": [ + "ㄙㄡ1" + ], + "𧽐": [ + "ㄑㄧㄢ1" + ], + "𧽑": [ + "ㄐㄧ2" + ], + "𧽒": [ + "ㄒㄩㄥ4" + ], + "𧽓": [ + "ㄑㄧ4" + ], + "𧽔": [ + "ㄐㄩㄣ1" + ], + "𧽖": [ + "ㄏㄞ2" + ], + "𧽞": [ + "ㄧㄢ3" + ], + "𧽟": [ + "ㄐㄧㄝ2" + ], + "𧽠": [ + "ㄘㄨㄟ1" + ], + "𧽢": [ + "ㄊㄨㄢ2" + ], + "𧽣": [ + "ㄓㄤ1" + ], + "𧽤": [ + "ㄆㄧㄠ1" + ], + "𧽥": [ + "ㄌㄨ4" + ], + "𧽦": [ + "ㄓ1" + ], + "𧽧": [ + "ㄔㄨ4" + ], + "𧽨": [ + "ㄇㄧ4" + ], + "𧽩": [ + "ㄑㄧㄤ1" + ], + "𧽫": [ + "ㄌㄧㄢ4" + ], + "𧽲": [ + "ㄌㄧ4" + ], + "𧽶": [ + "ㄜ2" + ], + "𧽷": [ + "ㄙㄨ4" + ], + "𧽸": [ + "ㄐㄩㄝ2", + "ㄍㄨㄟ4" + ], + "𧽻": [ + "ㄐㄩ2" + ], + "𧽼": [ + "ㄊㄢ2" + ], + "𧽽": [ + "ㄌㄧㄠ2" + ], + "𧽾": [ + "ㄙㄢ1", + "ㄘㄨㄣ2" + ], + "𧽿": [ + "ㄉㄨㄥ4" + ], + "𧾁": [ + "ㄗㄚ2" + ], + "𧾂": [ + "ㄓ2" + ], + "𧾆": [ + "ㄒㄩㄢ4" + ], + "𧾇": [ + "ㄌㄧㄥ2" + ], + "𧾊": [ + "ㄉㄥ1" + ], + "𧾍": [ + "ㄓㄢ1", + "ㄓㄢ4", + "ㄔㄢ2" + ], + "𧾎": [ + "ㄒㄩㄢ1" + ], + "𧾏": [ + "ㄑㄧㄣ3" + ], + "𧾐": [ + "ㄐㄧㄠ4" + ], + "𧾑": [ + "ㄆㄧ4" + ], + "𧾔": [ + "ㄏㄢ3" + ], + "𧾚": [ + "ㄩ2" + ], + "𧾛": [ + "ㄍㄨㄛ2" + ], + "𧾝": [ + "ㄒㄩㄣ2" + ], + "𧾠": [ + "ㄒㄩㄣ2" + ], + "𧾡": [ + "ㄔㄢ2" + ], + "𧾢": [ + "ㄐㄧㄝ2", + "ㄐㄧ2" + ], + "𧾣": [ + "ㄐㄩ2" + ], + "𧾤": [ + "ㄧㄢ3" + ], + "𧾥": [ + "ㄉㄨ2" + ], + "𧾧": [ + "ㄏㄨㄥ4" + ], + "𧾨": [ + "ㄒㄧㄢ4", + "ㄒㄧㄢ3" + ], + "𧾩": [ + "ㄒㄩㄣ2", + "ㄒㄩㄢ4" + ], + "𧾮": [ + "ㄌㄧㄥ2" + ], + "𧾯": [ + "ㄐㄧㄝ2" + ], + "𧾰": [ + "ㄧ4" + ], + "𧾱": [ + "ㄑㄩ2" + ], + "𧾲": [ + "ㄍㄢ1" + ], + "𧾳": [ + "ㄈㄥ1" + ], + "𧾵": [ + "ㄐㄩㄝ2" + ], + "𧾶": [ + "ㄑㄩ1" + ], + "𧾻": [ + "ㄐㄧㄡ4" + ], + "𧾽": [ + "ㄐㄧ4" + ], + "𧾾": [ + "ㄐㄧ3" + ], + "𧿅": [ + "ㄒㄧ2" + ], + "𧿆": [ + "ㄆㄤ1" + ], + "𧿈": [ + "ㄎㄨㄤ4" + ], + "𧿉": [ + "ㄎㄨ4", + "ㄨ4" + ], + "𧿋": [ + "ㄎㄨ4" + ], + "𧿌": [ + "ㄓㄚ4" + ], + "𧿏": [ + "ㄅㄚ4" + ], + "𧿒": [ + "ㄔㄣ3" + ], + "𧿓": [ + "ㄏㄨ4" + ], + "𧿔": [ + "ㄋㄨ4" + ], + "𧿕": [ + "ㄜ2" + ], + "𧿖": [ + "ㄒㄩㄥ1" + ], + "𧿗": [ + "ㄉㄨㄣ3" + ], + "𧿘": [ + "ㄕㄥ1" + ], + "𧿙": [ + "ㄨㄢ2" + ], + "𧿚": [ + "ㄈㄣ1" + ], + "𧿝": [ + "ㄒㄧ1" + ], + "𧿞": [ + "ㄗ1" + ], + "𧿠": [ + "ㄏㄨ4", + "ㄉㄧ4" + ], + "𧿥": [ + "ㄅㄧㄝ2" + ], + "𧿧": [ + "ㄊㄨㄛ4" + ], + "𧿨": [ + "ㄅㄢ3" + ], + "𧿩": [ + "ㄍㄜ2" + ], + "𧿫": [ + "ㄎㄜ1" + ], + "𧿲": [ + "ㄓㄨㄟ4", + "ㄅㄛ2" + ], + "𧿳": [ + "ㄈㄨ2", + "ㄈㄟ4" + ], + "𧿴": [ + "ㄇㄛ4" + ], + "𧿵": [ + "ㄐㄧㄚ2" + ], + "𧿶": [ + "ㄊㄨㄛ2" + ], + "𧿷": [ + "ㄩ4" + ], + "𧿹": [ + "ㄇㄨ3" + ], + "𧿺": [ + "ㄐㄩㄝ2" + ], + "𧿻": [ + "ㄐㄩ2" + ], + "𧿼": [ + "ㄍㄨㄚ1" + ], + "𧿽": [ + "ㄆㄛ3" + ], + "𨀀": [ + "ㄋㄧ3", + "ㄋㄧㄢ3" + ], + "𨀄": [ + "ㄨㄚ3" + ], + "𨀅": [ + "ㄧㄢ3" + ], + "𨀔": [ + "ㄔㄡ3" + ], + "𨀕": [ + "ㄎㄨㄤ1" + ], + "𨀖": [ + "ㄏㄞ4" + ], + "𨀘": [ + "ㄒㄧㄤ2" + ], + "𨀙": [ + "ㄒㄧ1" + ], + "𨀛": [ + "ㄘㄨㄣ2" + ], + "𨀜": [ + "ㄊㄨㄥ1" + ], + "𨀝": [ + "ㄖㄨㄛ4" + ], + "𨀟": [ + "ㄉㄨㄛ2" + ], + "𨀠": [ + "ㄔㄜ4" + ], + "𨀤": [ + "ㄌㄟ4" + ], + "𨀥": [ + "ㄗ1" + ], + "𨀧": [ + "ㄓㄥ3" + ], + "𨀨": [ + "ㄗㄨㄛ3" + ], + "𨀫": [ + "ㄎㄤ1" + ], + "𨀬": [ + "ㄗㄞ4" + ], + "𨀮": [ + "ㄩㄢ1", + "ㄒㄩㄢ1" + ], + "𨀯": [ + "ㄑㄩㄥ2" + ], + "𨀳": [ + "ㄈㄚ2" + ], + "𨀴": [ + "ㄒㄩㄣ2" + ], + "𨀶": [ + "ㄐㄧ4" + ], + "𨀸": [ + "ㄔㄚ1" + ], + "𨁀": [ + "ㄕㄨ1", + "ㄔㄡ1" + ], + "𨁁": [ + "ㄒㄩㄢ4" + ], + "𨁂": [ + "ㄒㄧㄝ2" + ], + "𨁃": [ + "ㄊㄧ1" + ], + "𨁄": [ + "ㄏㄢ4" + ], + "𨁅": [ + "ㄒㄧㄢ1" + ], + "𨁆": [ + "ㄕㄢ1" + ], + "𨁇": [ + "ㄊㄨㄣ4" + ], + "𨁈": [ + "ㄏㄤ2", + "ㄍㄥ1" + ], + "𨁉": [ + "ㄎㄨㄣ3" + ], + "𨁊": [ + "ㄘㄣ2" + ], + "𨁋": [ + "ㄉㄡ1" + ], + "𨁌": [ + "ㄋㄨㄛ2" + ], + "𨁍": [ + "ㄧㄢ4" + ], + "𨁎": [ + "ㄔㄥ2", + "ㄐㄧㄥ4" + ], + "𨁏": [ + "ㄆㄨ1" + ], + "𨁐": [ + "ㄑㄧ4" + ], + "𨁑": [ + "ㄩㄝ4" + ], + "𨁒": [ + "ㄈㄨ1" + ], + "𨁗": [ + "ㄊㄧㄥ3" + ], + "𨁟": [ + "ㄨㄛ3" + ], + "𨁠": [ + "ㄕㄥ1" + ], + "𨁡": [ + "ㄊㄨㄛ3" + ], + "𨁴": [ + "ㄊㄢ3" + ], + "𨁶": [ + "ㄧㄚ3", + "ㄧㄚ1" + ], + "𨁷": [ + "ㄓ4" + ], + "𨁸": [ + "ㄌㄨ4", + "ㄌㄧ4" + ], + "𨁹": [ + "ㄧㄢ3" + ], + "𨁺": [ + "ㄐㄩ1" + ], + "𨁽": [ + "ㄉㄜ2" + ], + "𨁿": [ + "ㄔㄨ4", + "ㄓㄨㄛ2" + ], + "𨂀": [ + "ㄗㄨ3" + ], + "𨂁": [ + "ㄜ4" + ], + "𨂂": [ + "ㄓ2", + "ㄒㄩㄝ3" + ], + "𨂃": [ + "ㄆㄥ2" + ], + "𨂅": [ + "ㄅㄧㄝ1" + ], + "𨂇": [ + "ㄉㄧ3" + ], + "𨂐": [ + "ㄌㄞ2" + ], + "𨂒": [ + "ㄧㄝ4" + ], + "𨂜": [ + "ㄏㄠ2" + ], + "𨂝": [ + "ㄆㄢ2" + ], + "𨂞": [ + "ㄊㄢ4" + ], + "𨂟": [ + "ㄎㄤ1" + ], + "𨂠": [ + "ㄒㄩ1", + "ㄌㄩ3" + ], + "𨂡": [ + "ㄗㄡ4" + ], + "𨂢": [ + "ㄐㄧ2" + ], + "𨂣": [ + "ㄨ4" + ], + "𨂦": [ + "ㄔㄨㄢ4" + ], + "𨂩": [ + "ㄆㄛ4" + ], + "𨂪": [ + "ㄧㄢ3" + ], + "𨂫": [ + "ㄊㄨㄛ4" + ], + "𨂭": [ + "ㄉㄨ2" + ], + "𨂯": [ + "ㄆㄧㄢ2" + ], + "𨂰": [ + "ㄔ4" + ], + "𨂱": [ + "ㄏㄨㄣ4" + ], + "𨂲": [ + "ㄆㄧㄥ1" + ], + "𨂴": [ + "ㄘㄨㄥ1" + ], + "𨂵": [ + "ㄓㄚ3" + ], + "𨂺": [ + "ㄨㄢ1" + ], + "𨂿": [ + "ㄨㄞ3" + ], + "𨃃": [ + "ㄜ4" + ], + "𨃄": [ + "ㄨㄟ4" + ], + "𨃅": [ + "ㄅㄞ1" + ], + "𨃇": [ + "ㄐㄧㄤ1" + ], + "𨃓": [ + "ㄔㄚ2" + ], + "𨃕": [ + "ㄔㄨ4" + ], + "𨃖": [ + "ㄎㄨㄚ4" + ], + "𨃗": [ + "ㄊㄥ2" + ], + "𨃘": [ + "ㄗㄡ1", + "ㄑㄩ1" + ], + "𨃙": [ + "ㄌㄧ4" + ], + "𨃚": [ + "ㄊㄚ4" + ], + "𨃛": [ + "ㄙㄚ4" + ], + "𨃞": [ + "ㄆㄢ2" + ], + "𨃟": [ + "ㄆㄢ2" + ], + "𨃣": [ + "ㄙㄠ4" + ], + "𨃤": [ + "ㄑㄧㄠ1", + "ㄎㄠ4" + ], + "𨃭": [ + "ㄗㄨ2" + ], + "𨃯": [ + "ㄓ4" + ], + "𨃰": [ + "ㄧㄢ3" + ], + "𨃲": [ + "ㄐㄧㄝ2" + ], + "𨃳": [ + "ㄋㄥ2" + ], + "𨄄": [ + "ㄌㄨㄢ2" + ], + "𨄅": [ + "ㄑㄩ1" + ], + "𨄇": [ + "ㄉㄥ4", + "ㄊㄥ2" + ], + "𨄈": [ + "ㄌㄧㄤ2" + ], + "𨄉": [ + "ㄔㄢ3" + ], + "𨄊": [ + "ㄑㄧㄝ4" + ], + "𨄋": [ + "ㄌㄡ4" + ], + "𨄌": [ + "ㄉㄧㄝ2", + "ㄒㄧㄝ4" + ], + "𨄍": [ + "ㄘㄨㄟ1" + ], + "𨄐": [ + "ㄐㄧ3" + ], + "𨄓": [ + "ㄔㄠ2" + ], + "𨄔": [ + "ㄕㄨㄢ4" + ], + "𨄕": [ + "ㄗㄨ2" + ], + "𨄗": [ + "ㄎㄤ1" + ], + "𨄚": [ + "ㄑㄧㄤ1" + ], + "𨄛": [ + "ㄌㄧ2" + ], + "𨄮": [ + "ㄕㄨㄞ1" + ], + "𨄯": [ + "ㄩ4" + ], + "𨄰": [ + "ㄓㄤ1" + ], + "𨄱": [ + "ㄌㄟ3" + ], + "𨅅": [ + "ㄆㄛ2" + ], + "𨅊": [ + "ㄓㄜ2", + "ㄔㄜ4" + ], + "𨅋": [ + "ㄒㄧㄠ4" + ], + "𨅍": [ + "ㄊㄢ3" + ], + "𨅎": [ + "ㄘㄨㄟ4" + ], + "𨅏": [ + "ㄌㄢ2" + ], + "𨅑": [ + "ㄒㄩ1" + ], + "𨅒": [ + "ㄕㄨ4", + "ㄔㄨ2" + ], + "𨅓": [ + "ㄓㄚ3", + "ㄉㄚ2" + ], + "𨅔": [ + "ㄘㄢ2" + ], + "𨅗": [ + "ㄅㄧ3" + ], + "𨅘": [ + "ㄆㄥ4" + ], + "𨅝": [ + "ㄔㄥ2" + ], + "𨅣": [ + "ㄑㄧㄠ2" + ], + "𨅤": [ + "ㄐㄧ1" + ], + "𨅪": [ + "ㄓㄞ1" + ], + "𨅬": [ + "ㄌㄢ2" + ], + "𨆁": [ + "ㄊㄧㄢ3", + "ㄧㄢ3" + ], + "𨆂": [ + "ㄙㄚ4" + ], + "𨆃": [ + "ㄐㄧㄣ1" + ], + "𨆄": [ + "ㄓㄨ4" + ], + "𨆅": [ + "ㄉㄨㄛ4" + ], + "𨆇": [ + "ㄔㄚ4" + ], + "𨆈": [ + "ㄐㄩㄢ4" + ], + "𨆉": [ + "ㄊㄤ2" + ], + "𨆊": [ + "ㄅㄥ4" + ], + "𨆌": [ + "ㄈㄢ2" + ], + "𨆍": [ + "ㄌㄧㄝ4" + ], + "𨆎": [ + "ㄗㄟ2" + ], + "𨆏": [ + "ㄙㄨㄟ4" + ], + "𨆙": [ + "ㄙㄜ4" + ], + "𨆧": [ + "ㄓ4" + ], + "𨆨": [ + "ㄊㄨㄟ2" + ], + "𨆪": [ + "ㄑㄧㄥ1" + ], + "𨆬": [ + "ㄔㄨㄛ4" + ], + "𨆰": [ + "ㄊㄚ4", + "ㄉㄚ4" + ], + "𨆱": [ + "ㄅㄧㄥ4" + ], + "𨆲": [ + "ㄨㄣ3" + ], + "𨆵": [ + "ㄆㄛ3" + ], + "𨆽": [ + "ㄇㄛ2" + ], + "𨆾": [ + "ㄘㄚ1" + ], + "𨇁": [ + "ㄎㄨㄤ4" + ], + "𨇃": [ + "ㄘㄨㄛ2", + "ㄗㄨㄢ1" + ], + "𨇄": [ + "ㄖㄠ3" + ], + "𨇅": [ + "ㄅㄠ4" + ], + "𨇆": [ + "ㄌㄞ4" + ], + "𨇍": [ + "ㄋㄧㄢ3" + ], + "𨇎": [ + "ㄌㄧ2" + ], + "𨇕": [ + "ㄐㄧㄠ3" + ], + "𨇖": [ + "ㄌㄨ2" + ], + "𨇗": [ + "ㄌㄧ4" + ], + "𨇘": [ + "ㄌㄨㄥ2" + ], + "𨇙": [ + "ㄍㄨㄟ4" + ], + "𨇝": [ + "ㄔㄢ3" + ], + "𨇤": [ + "ㄒㄧㄢ1" + ], + "𨇦": [ + "ㄔㄢ4" + ], + "𨇨": [ + "ㄒㄧㄝ4" + ], + "𨇩": [ + "ㄓㄢ4" + ], + "𨇯": [ + "ㄕㄨㄤ1" + ], + "𨇻": [ + "ㄇㄧ3" + ], + "𨇼": [ + "ㄌㄨㄢ2" + ], + "𨇽": [ + "ㄌㄨㄛ4" + ], + "𨈀": [ + "ㄉㄧㄢ1" + ], + "𨈈": [ + "ㄉㄧㄝ2" + ], + "𨈊": [ + "ㄨㄢ1" + ], + "𨈋": [ + "ㄩㄝ4" + ], + "𨈌": [ + "ㄌㄨㄢ2" + ], + "𨈎": [ + "ㄌㄨㄢ2" + ], + "𨈓": [ + "ㄌㄥ2" + ], + "𨈕": [ + "ㄨㄞ3" + ], + "𨈖": [ + "ㄉㄧㄣ4" + ], + "𨈗": [ + "ㄋㄣ4" + ], + "𨈘": [ + "ㄕㄠ3" + ], + "𨈙": [ + "ㄒㄧㄝ4", + "ㄓ1" + ], + "𨈚": [ + "ㄆㄧ2" + ], + "𨈥": [ + "ㄇㄠ2" + ], + "𨈧": [ + "ㄧㄣ3" + ], + "𨈩": [ + "ㄅㄛ2" + ], + "𨈫": [ + "ㄓㄨ4" + ], + "𨈮": [ + "ㄔㄨㄥ1" + ], + "𨈶": [ + "ㄇㄨ3" + ], + "𨈷": [ + "ㄊㄨㄛ2" + ], + "𨈹": [ + "ㄊㄨㄥ3" + ], + "𨈺": [ + "ㄧㄝ2" + ], + "𨉁": [ + "ㄏㄨㄤ4" + ], + "𨉃": [ + "ㄖㄣ4" + ], + "𨉅": [ + "ㄧㄝ4" + ], + "𨉋": [ + "ㄊㄨㄛ1" + ], + "𨉖": [ + "ㄗㄨㄢ1" + ], + "𨉗": [ + "ㄩ4" + ], + "𨉚": [ + "ㄚ1" + ], + "𨉜": [ + "ㄓㄡ1" + ], + "𨉝": [ + "ㄨㄢ1" + ], + "𨉡": [ + "ㄉㄨㄛ3" + ], + "𨉢": [ + "ㄓㄨㄥ4" + ], + "𨉣": [ + "ㄏㄚ1" + ], + "𨉤": [ + "ㄏㄨㄤ2" + ], + "𨉥": [ + "ㄇㄧㄢ4", + "ㄊㄧ3" + ], + "𨉩": [ + "ㄔㄨㄣ1" + ], + "𨉪": [ + "ㄑㄧㄝ4" + ], + "𨉫": [ + "ㄍㄨㄥ1", + "ㄑㄩㄥ1" + ], + "𨉬": [ + "ㄊㄧㄥ2" + ], + "𨉭": [ + "ㄇㄟ2" + ], + "𨉱": [ + "ㄊㄤ4" + ], + "𨉴": [ + "ㄖㄨㄥ2" + ], + "𨉷": [ + "ㄖㄨㄥ2" + ], + "𨉸": [ + "ㄑㄧ2" + ], + "𨉹": [ + "ㄍㄨㄛ2" + ], + "𨉽": [ + "ㄒㄧㄤ4" + ], + "𨉾": [ + "ㄊㄧㄢ2" + ], + "𨊅": [ + "ㄒㄧㄠ1" + ], + "𨊈": [ + "ㄓㄢ1" + ], + "𨊉": [ + "ㄘㄨㄟ4" + ], + "𨊔": [ + "ㄌㄢ2" + ], + "𨊘": [ + "ㄕㄣ1", + "ㄑㄩ1" + ], + "𨊚": [ + "ㄌㄟ3" + ], + "𨊛": [ + "ㄌㄧ4" + ], + "𨊝": [ + "ㄔㄢ1" + ], + "𨊞": [ + "ㄋㄧㄝ4" + ], + "𨊟": [ + "ㄌㄨㄢ2" + ], + "𨊡": [ + "ㄊㄧㄥ1" + ], + "𨊢": [ + "ㄏㄨㄟ4", + "ㄕㄠ2" + ], + "𨊧": [ + "ㄍㄨㄥ1" + ], + "𨊰": [ + "ㄑㄧ4" + ], + "𨊱": [ + "ㄩ2" + ], + "𨊳": [ + "ㄒㄧㄣ1" + ], + "𨊸": [ + "ㄩㄝ4" + ], + "𨊹": [ + "ㄅㄚ1" + ], + "𨊺": [ + "ㄉㄞ4" + ], + "𨊻": [ + "ㄐㄧ1" + ], + "𨊼": [ + "ㄒㄩㄢ4" + ], + "𨊿": [ + "ㄐㄩㄝ2" + ], + "𨋀": [ + "ㄋㄧㄡ3" + ], + "𨋈": [ + "ㄉㄨ4" + ], + "𨋉": [ + "ㄐㄧ2" + ], + "𨋐": [ + "ㄆㄚ1" + ], + "𨋑": [ + "ㄍㄨㄥ3" + ], + "𨋒": [ + "ㄅㄣ4" + ], + "𨋔": [ + "ㄎㄥ1", + "ㄐㄩ2" + ], + "𨋕": [ + "ㄧㄤ4", + "ㄤ3" + ], + "𨋖": [ + "ㄌㄧㄡ3" + ], + "𨋗": [ + "ㄋㄧ2" + ], + "𨋘": [ + "ㄓㄚ4" + ], + "𨋙": [ + "ㄧㄣ4" + ], + "𨋚": [ + "ㄋㄧㄢ3", + "ㄖㄨㄢ3" + ], + "𨋛": [ + "ㄆㄠ4" + ], + "𨋝": [ + "ㄍㄨㄥ1" + ], + "𨋞": [ + "ㄅㄨ4" + ], + "𨋟": [ + "ㄏㄜ2" + ], + "𨋠": [ + "ㄖㄨㄥ3" + ], + "𨋡": [ + "ㄍㄨㄟ4" + ], + "𨋥": [ + "ㄅㄧ4" + ], + "𨋦": [ + "ㄒㄧ1" + ], + "𨋧": [ + "ㄐㄩ2" + ], + "𨋨": [ + "ㄏㄨㄣ2" + ], + "𨋩": [ + "ㄅㄧ4", + "ㄈㄨ2" + ], + "𨋫": [ + "ㄊㄧㄠ1" + ], + "𨋬": [ + "ㄓㄥ3", + "ㄔㄥ4" + ], + "𨋮": [ + "ㄏㄨㄥ1", + "ㄔㄨㄣ1" + ], + "𨋯": [ + "ㄧ4" + ], + "𨋰": [ + "ㄘ4" + ], + "𨋲": [ + "ㄅㄧㄥ4" + ], + "𨋷": [ + "ㄍㄨㄥ1" + ], + "𨋺": [ + "ㄈㄚ2" + ], + "𨋽": [ + "ㄧㄤ2" + ], + "𨋾": [ + "ㄒㄩ3" + ], + "𨌁": [ + "ㄏㄨㄥ1" + ], + "𨌄": [ + "ㄗㄤ4" + ], + "𨌅": [ + "ㄔㄞ2" + ], + "𨌆": [ + "ㄏㄨㄥ2" + ], + "𨌈": [ + "ㄊㄧㄢ2" + ], + "𨌌": [ + "ㄓ1" + ], + "𨌍": [ + "ㄒㄧㄥ1" + ], + "𨌎": [ + "ㄒㄩ2" + ], + "𨌑": [ + "ㄓㄣ4" + ], + "𨌔": [ + "ㄨㄢ3", + "ㄨㄢ4" + ], + "𨌘": [ + "ㄐㄩㄣ4" + ], + "𨌝": [ + "ㄨㄛ4", + "ㄏㄨㄛ4" + ], + "𨌠": [ + "ㄌㄨ4" + ], + "𨌢": [ + "ㄓㄥ1" + ], + "𨌣": [ + "ㄖㄨㄥ3" + ], + "𨌤": [ + "ㄔㄥ2", + "ㄔㄥ4" + ], + "𨌥": [ + "ㄈㄨ2" + ], + "𨌧": [ + "ㄜ4" + ], + "𨌨": [ + "ㄊㄠ1" + ], + "𨌩": [ + "ㄊㄤ2" + ], + "𨌫": [ + "ㄐㄩㄢ1" + ], + "𨌬": [ + "ㄔㄠ4" + ], + "𨌭": [ + "ㄊㄚ4" + ], + "𨌮": [ + "ㄉㄧ3" + ], + "𨌰": [ + "ㄗㄨㄥ1" + ], + "𨌳": [ + "ㄎㄥ1" + ], + "𨌴": [ + "ㄊㄨㄟ1" + ], + "𨌶": [ + "ㄎㄥ1" + ], + "𨍅": [ + "ㄖㄨㄥ3" + ], + "𨍆": [ + "ㄩㄣ1" + ], + "𨍇": [ + "ㄏㄜ2" + ], + "𨍈": [ + "ㄗㄨㄥ3" + ], + "𨍉": [ + "ㄘㄨㄥ1", + "ㄗㄨㄥ3" + ], + "𨍊": [ + "ㄑㄧㄡ1" + ], + "𨍎": [ + "ㄇㄨ4" + ], + "𨍏": [ + "ㄉㄨㄛ2" + ], + "𨍐": [ + "ㄒㄩ3" + ], + "𨍑": [ + "ㄎㄥ1" + ], + "𨍒": [ + "ㄒㄧㄢ4", + "ㄐㄧㄢ4" + ], + "𨍛": [ + "ㄉㄨ2" + ], + "𨍜": [ + "ㄎㄢ3" + ], + "𨍞": [ + "ㄧㄥ1" + ], + "𨍢": [ + "ㄗ1" + ], + "𨍧": [ + "ㄏㄨㄤ2" + ], + "𨍩": [ + "ㄆㄥ2" + ], + "𨍫": [ + "ㄌㄧ4" + ], + "𨍭": [ + "ㄅㄛ2", + "ㄆㄛ4" + ], + "𨍮": [ + "ㄍㄜ2", + "ㄌㄧ4" + ], + "𨍯": [ + "ㄐㄩ2" + ], + "𨍰": [ + "ㄎㄜ1" + ], + "𨍲": [ + "ㄏㄨ2", + "ㄍㄨㄣ3" + ], + "𨍳": [ + "ㄧㄠ2" + ], + "𨍴": [ + "ㄊㄤ2" + ], + "𨍶": [ + "ㄑㄩㄥ2" + ], + "𨍷": [ + "ㄖㄨㄥ3" + ], + "𨍸": [ + "ㄌㄧㄡ3" + ], + "𨍹": [ + "ㄏㄨㄟ4" + ], + "𨍺": [ + "ㄐㄧ1" + ], + "𨎉": [ + "ㄓ4" + ], + "𨎋": [ + "ㄊㄤ2", + "ㄔㄥ1" + ], + "𨎌": [ + "ㄓ3" + ], + "𨎍": [ + "ㄎㄤ1", + "ㄌㄧㄤ2" + ], + "𨎔": [ + "ㄧㄤ4" + ], + "𨎖": [ + "ㄊㄤ3", + "ㄔㄤ3" + ], + "𨎗": [ + "ㄏㄨㄥ1" + ], + "𨎛": [ + "ㄌㄧㄤ2" + ], + "𨎝": [ + "ㄘㄠ2" + ], + "𨎡": [ + "ㄋㄞ3" + ], + "𨎢": [ + "ㄗㄨㄥ3" + ], + "𨎤": [ + "ㄉㄥ4" + ], + "𨎦": [ + "ㄐㄧㄠ1" + ], + "𨎧": [ + "ㄆㄥ2" + ], + "𨎩": [ + "ㄍㄨㄤ1" + ], + "𨎪": [ + "ㄦ2" + ], + "𨎫": [ + "ㄐㄧㄢ4" + ], + "𨎬": [ + "ㄐㄧㄠ4" + ], + "𨎭": [ + "ㄋㄨㄛ2" + ], + "𨎮": [ + "ㄗㄠ3" + ], + "𨎳": [ + "ㄆㄥ2" + ], + "𨎴": [ + "ㄉㄤ1" + ], + "𨎶": [ + "ㄑㄩ2" + ], + "𨎷": [ + "ㄌㄧㄢ2" + ], + "𨎸": [ + "ㄇㄨ4" + ], + "𨎹": [ + "ㄌㄢ3" + ], + "𨎾": [ + "ㄈㄣ2" + ], + "𨏂": [ + "ㄏㄨㄣ2", + "ㄒㄩㄢ1" + ], + "𨏆": [ + "ㄎㄨㄤ1" + ], + "𨏈": [ + "ㄧㄣ3" + ], + "𨏉": [ + "ㄕㄨㄢ4" + ], + "𨏊": [ + "ㄐㄧㄢ4" + ], + "𨏒": [ + "ㄌㄨㄛ4", + "ㄌㄟ2" + ], + "𨏔": [ + "ㄌㄨ4", + "ㄉㄨ2" + ], + "𨏚": [ + "ㄍㄜ2" + ], + "𨏛": [ + "ㄖㄤ3", + "ㄋㄧㄢ3" + ], + "𨏞": [ + "ㄆㄧㄣ2" + ], + "𨏠": [ + "ㄌㄨㄥ2" + ], + "𨏤": [ + "ㄓㄣ3" + ], + "𨏥": [ + "ㄒㄧㄢ4" + ], + "𨏨": [ + "ㄌㄧㄣ4" + ], + "𨏩": [ + "ㄌㄧㄢ2" + ], + "𨏪": [ + "ㄕㄢ1" + ], + "𨏫": [ + "ㄅㄛ2" + ], + "𨏬": [ + "ㄌㄧ4" + ], + "𨏳": [ + "ㄒㄧㄝ2" + ], + "𨏴": [ + "ㄍㄜ2" + ], + "𨏵": [ + "ㄇㄧㄣ3" + ], + "𨏶": [ + "ㄌㄧㄢ2" + ], + "𨏹": [ + "ㄐㄩㄝ2" + ], + "𨏺": [ + "ㄓㄡ1" + ], + "𨏿": [ + "ㄎㄜ1" + ], + "𨐁": [ + "ㄉㄧㄝ2" + ], + "𨐃": [ + "ㄓㄜ2" + ], + "𨐅": [ + "ㄕㄨ1" + ], + "𨐆": [ + "ㄐㄧ1" + ], + "𨐇": [ + "ㄌㄨㄥ2" + ], + "𨐈": [ + "ㄍㄨㄤ1" + ], + "𨐉": [ + "ㄗㄠ3" + ], + "𨐊": [ + "ㄒㄧㄢ4" + ], + "𨐋": [ + "ㄑㄧㄢ1" + ], + "𨐍": [ + "ㄕㄣ1" + ], + "𨐐": [ + "ㄧㄣ3" + ], + "𨐑": [ + "ㄐㄧㄝ4" + ], + "𨐔": [ + "ㄕㄣ1" + ], + "𨐕": [ + "ㄕㄣ1", + "ㄘ2" + ], + "𨐖": [ + "ㄙㄚ3" + ], + "𨐛": [ + "ㄒㄧ4" + ], + "𨐡": [ + "ㄎㄨ4" + ], + "𨐣": [ + "ㄑㄩ2" + ], + "𨐥": [ + "ㄍㄜ2" + ], + "𨐦": [ + "ㄅㄢ4" + ], + "𨐨": [ + "ㄅㄧ4" + ], + "𨐩": [ + "ㄑㄧㄢ1" + ], + "𨐰": [ + "ㄅㄧㄣ1" + ], + "𨐱": [ + "ㄅㄢ4" + ], + "𨐳": [ + "ㄗㄨㄛ4" + ], + "𨐴": [ + "ㄆㄧ4" + ], + "𨐶": [ + "ㄏㄨㄛ4" + ], + "𨐾": [ + "ㄅㄢ4", + "ㄅㄧㄢ4" + ], + "𨑊": [ + "ㄋㄨㄥ2" + ], + "𨑌": [ + "ㄔㄣ2" + ], + "𨑎": [ + "ㄆㄥ1" + ], + "𨑑": [ + "ㄈㄨ3" + ], + "𨑒": [ + "ㄊㄨ2" + ], + "𨑜": [ + "ㄆㄧ3" + ], + "𨑝": [ + "ㄆㄛ4" + ], + "𨑠": [ + "ㄔ3" + ], + "𨑣": [ + "ㄒㄩㄝ4" + ], + "𨑤": [ + "ㄑㄧ4" + ], + "𨑥": [ + "ㄨ4" + ], + "𨑨": [ + "ㄓ4" + ], + "𨑩": [ + "ㄉㄧ4" + ], + "𨑪": [ + "ㄘㄨㄥ1" + ], + "𨑫": [ + "ㄧㄡ2" + ], + "𨑹": [ + "ㄘㄨㄥ1" + ], + "𨑼": [ + "ㄉㄧ4" + ], + "𨑽": [ + "ㄓㄨㄛ2" + ], + "𨑿": [ + "ㄗㄡ3" + ], + "𨒀": [ + "ㄘㄨㄥ2" + ], + "𨒃": [ + "ㄆㄢ4" + ], + "𨒄": [ + "ㄧㄢ3" + ], + "𨒅": [ + "ㄑㄧ4" + ], + "𨒆": [ + "ㄖㄨㄥ3" + ], + "𨒇": [ + "ㄐㄧㄚ2" + ], + "𨒉": [ + "ㄓ4", + "ㄓㄨㄟ4", + "ㄙㄨㄟ4" + ], + "𨒊": [ + "ㄑㄧㄡ2" + ], + "𨒋": [ + "ㄩㄝ4" + ], + "𨒍": [ + "ㄕ4" + ], + "𨒑": [ + "ㄏㄠ2" + ], + "𨒙": [ + "ㄊㄨㄛ1", + "ㄏㄡ4" + ], + "𨒜": [ + "ㄅㄧㄝ2" + ], + "𨒞": [ + "ㄎㄢ4" + ], + "𨒢": [ + "ㄔㄨㄛ4" + ], + "𨒤": [ + "ㄘ3" + ], + "𨒦": [ + "ㄧㄣ3" + ], + "𨒧": [ + "ㄕ4" + ], + "𨒨": [ + "ㄏㄞ4" + ], + "𨒩": [ + "ㄖㄨㄢ3" + ], + "𨒫": [ + "ㄧㄤ2", + "ㄋㄧ4" + ], + "𨒬": [ + "ㄔ1" + ], + "𨒮": [ + "ㄘ1" + ], + "𨒱": [ + "ㄍㄨㄥ1" + ], + "𨒲": [ + "ㄇㄧ2", + "ㄒㄩㄝ4" + ], + "𨒴": [ + "ㄐㄧ3" + ], + "𨒼": [ + "ㄍㄣ4" + ], + "𨒽": [ + "ㄗㄠ4", + "ㄙㄨㄛ1" + ], + "𨓁": [ + "ㄅㄥ3" + ], + "𨓇": [ + "ㄒㄧㄣ3" + ], + "𨓈": [ + "ㄎㄨㄛ4" + ], + "𨓊": [ + "ㄉㄧㄝ2" + ], + "𨓍": [ + "ㄊㄧㄥ2" + ], + "𨓚": [ + "ㄕㄨㄟ4" + ], + "𨓞": [ + "ㄉㄞ4" + ], + "𨓦": [ + "ㄌㄧ3" + ], + "𨓨": [ + "ㄩㄥ3" + ], + "𨓩": [ + "ㄐㄧㄠ1" + ], + "𨓬": [ + "ㄊㄚ2" + ], + "𨓭": [ + "ㄑㄩ3", + "ㄘㄡ4" + ], + "𨓮": [ + "ㄧㄣ2" + ], + "𨓯": [ + "ㄩㄢ1" + ], + "𨓰": [ + "ㄐㄧㄝ2" + ], + "𨓲": [ + "ㄑㄧㄢ1" + ], + "𨓳": [ + "ㄧㄠ1" + ], + "𨓴": [ + "ㄧㄚ4" + ], + "𨓷": [ + "ㄑㄧㄥ1" + ], + "𨓿": [ + "ㄆㄟ2" + ], + "𨔗": [ + "ㄐㄧㄚ1" + ], + "𨔙": [ + "ㄊㄡ4" + ], + "𨔛": [ + "ㄊㄧ1" + ], + "𨔡": [ + "ㄉㄨㄣ4", + "ㄊㄨㄣ2", + "ㄔㄨㄢ4", + "ㄔㄨㄢ2" + ], + "𨔢": [ + "ㄔㄢ3" + ], + "𨔣": [ + "ㄐㄧㄚ1", + "ㄐㄧㄚ4" + ], + "𨔤": [ + "ㄔ4" + ], + "𨔥": [ + "ㄐㄧㄢ1", + "ㄐㄧㄣ1" + ], + "𨔦": [ + "ㄕㄨ4" + ], + "𨔯": [ + "ㄊㄚ4" + ], + "𨕕": [ + "ㄓ1" + ], + "𨕗": [ + "ㄩㄢ2" + ], + "𨕚": [ + "ㄏㄨ1" + ], + "𨕜": [ + "ㄌㄧㄝ4" + ], + "𨕠": [ + "ㄗㄜ2" + ], + "𨕢": [ + "ㄔㄨ4" + ], + "𨕦": [ + "ㄑㄧㄡ4" + ], + "𨕧": [ + "ㄅㄥ1" + ], + "𨕹": [ + "ㄏㄨㄢ2" + ], + "𨕺": [ + "ㄎㄨㄚ1" + ], + "𨕻": [ + "ㄕㄥ1" + ], + "𨕽": [ + "ㄐㄧㄝ2" + ], + "𨕿": [ + "ㄨㄤ3" + ], + "𨖃": [ + "ㄏㄨ1" + ], + "𨖊": [ + "ㄗㄜ2", + "ㄐㄧ1" + ], + "𨖋": [ + "ㄗㄢ3", + "ㄓ4" + ], + "𨖌": [ + "ㄧㄤ4" + ], + "𨖎": [ + "ㄔ3" + ], + "𨖏": [ + "ㄐㄧㄡ4" + ], + "𨖚": [ + "ㄌㄧㄠ2" + ], + "𨖛": [ + "ㄩ1" + ], + "𨖠": [ + "ㄅㄧㄢ3", + "ㄅㄧㄢ4" + ], + "𨖢": [ + "ㄎㄨㄤ2" + ], + "𨖬": [ + "ㄔㄡ4" + ], + "𨖭": [ + "ㄧㄚ2" + ], + "𨖮": [ + "ㄓㄨㄛ2" + ], + "𨖰": [ + "ㄑㄧㄝ4" + ], + "𨖱": [ + "ㄒㄧㄢ4" + ], + "𨖳": [ + "ㄩㄢ1" + ], + "𨖴": [ + "ㄨ3" + ], + "𨖵": [ + "ㄐㄧㄠ3" + ], + "𨖶": [ + "ㄒㄧㄤ4" + ], + "𨖷": [ + "ㄕㄚ4" + ], + "𨖹": [ + "ㄓ4" + ], + "𨖼": [ + "ㄔㄨㄥ4" + ], + "𨖾": [ + "ㄅㄧㄢ1" + ], + "𨖿": [ + "ㄨㄟ1" + ], + "𨗓": [ + "ㄉㄠ4" + ], + "𨗝": [ + "ㄩ4", + "ㄐㄩ2" + ], + "𨗞": [ + "ㄊㄨㄟ2" + ], + "𨗡": [ + "ㄔㄠ4" + ], + "𨗥": [ + "ㄏㄨㄟ4" + ], + "𨗦": [ + "ㄑㄧㄢ3" + ], + "𨗨": [ + "ㄨㄟ3" + ], + "𨗰": [ + "ㄧㄡ2" + ], + "𨗼": [ + "ㄉㄧ4", + "ㄉㄞ4" + ], + "𨗾": [ + "ㄉㄚ4" + ], + "𨘁": [ + "ㄧㄡ2" + ], + "𨘂": [ + "ㄐㄧㄡ4" + ], + "𨘃": [ + "ㄊㄨㄟ2" + ], + "𨘄": [ + "ㄗㄢ3" + ], + "𨘇": [ + "ㄏㄨㄟ4" + ], + "𨘉": [ + "ㄕㄚ4" + ], + "𨘌": [ + "ㄏㄨㄛ4" + ], + "𨘔": [ + "ㄧㄠ2" + ], + "𨘙": [ + "ㄒㄧㄢ4" + ], + "𨘞": [ + "ㄒㄧㄢ4" + ], + "𨘬": [ + "ㄉㄧ4" + ], + "𨘮": [ + "ㄐㄧㄡ4" + ], + "𨘲": [ + "ㄏㄨㄟ4" + ], + "𨘴": [ + "ㄎㄠ4" + ], + "𨘵": [ + "ㄧㄡ2" + ], + "𨘸": [ + "ㄌㄧ4" + ], + "𨘼": [ + "ㄔㄨㄢ2" + ], + "𨘾": [ + "ㄔ2" + ], + "𨙀": [ + "ㄏㄨㄛ4" + ], + "𨙂": [ + "ㄧㄡ2" + ], + "𨙄": [ + "ㄩㄝ4" + ], + "𨙎": [ + "ㄊㄚ4" + ], + "𨙏": [ + "ㄗㄢ4" + ], + "𨙓": [ + "ㄋㄧㄝ4" + ], + "𨙔": [ + "ㄓㄨ4" + ], + "𨙡": [ + "ㄒㄧㄢ3" + ], + "𨙩": [ + "ㄕ2" + ], + "𨙫": [ + "ㄎㄡ3" + ], + "𨙬": [ + "ㄑㄧ3" + ], + "𨙭": [ + "ㄊㄨ3" + ], + "𨙮": [ + "ㄈㄢ2" + ], + "𨙯": [ + "ㄘㄨㄣ1" + ], + "𨙲": [ + "ㄊㄨㄣ2", + "ㄘㄨㄣ1" + ], + "𨙳": [ + "ㄔㄚ1" + ], + "𨙴": [ + "ㄘㄞ2", + "ㄗㄞ4" + ], + "𨙵": [ + "ㄒㄧㄤ4" + ], + "𨙶": [ + "ㄆㄟ4" + ], + "𨙷": [ + "ㄐㄧㄥ3" + ], + "𨙸": [ + "ㄑㄧ2", + "ㄓ1" + ], + "𨙹": [ + "ㄕㄠ3" + ], + "𨙺": [ + "ㄋㄧㄡ3" + ], + "𨙻": [ + "ㄋㄚ4" + ], + "𨙽": [ + "ㄑㄧㄣ2" + ], + "𨚍": [ + "ㄅㄧ4", + "ㄅㄟ4" + ], + "𨚓": [ + "ㄅㄧ4", + "ㄈㄟ4", + "ㄈㄨ2" + ], + "𨚔": [ + "ㄅㄠ1" + ], + "𨚕": [ + "ㄅㄧㄢ4" + ], + "𨚖": [ + "ㄗ1" + ], + "𨚗": [ + "ㄋㄚ4" + ], + "𨚘": [ + "ㄨㄟ4" + ], + "𨚙": [ + "ㄏㄠ2" + ], + "𨚡": [ + "ㄐㄧㄣ3" + ], + "𨚣": [ + "ㄓㄥ4" + ], + "𨚧": [ + "ㄑㄧㄝ2" + ], + "𨚮": [ + "ㄏㄠ4" + ], + "𨚯": [ + "ㄊㄨㄥ2" + ], + "𨚰": [ + "ㄗㄠ3" + ], + "𨚱": [ + "ㄕㄥ4" + ], + "𨚲": [ + "ㄘㄨㄣ2" + ], + "𨚳": [ + "ㄏㄨㄤ1" + ], + "𨚴": [ + "ㄖㄨ2" + ], + "𨚵": [ + "ㄗㄞ4" + ], + "𨚶": [ + "ㄋㄧㄢ2" + ], + "𨚾": [ + "ㄒㄧㄢ1" + ], + "𨛈": [ + "ㄑㄩㄢ2" + ], + "𨛉": [ + "ㄐㄧ4" + ], + "𨛊": [ + "ㄧㄣ2" + ], + "𨛋": [ + "ㄌㄧ3" + ], + "𨛌": [ + "ㄇㄤ2" + ], + "𨛍": [ + "ㄕㄠ4" + ], + "𨛎": [ + "ㄏㄢ4" + ], + "𨛏": [ + "ㄘㄨㄛ4" + ], + "𨛐": [ + "ㄐㄩㄣ4" + ], + "𨛑": [ + "ㄐㄧ4" + ], + "𨛒": [ + "ㄅㄨ4" + ], + "𨛓": [ + "ㄌㄨㄥ4" + ], + "𨛔": [ + "ㄈㄡ3" + ], + "𨛕": [ + "ㄧㄡ2" + ], + "𨛖": [ + "ㄎㄨㄞ4" + ], + "𨛜": [ + "ㄒㄧㄤ4" + ], + "𨛡": [ + "ㄩㄣ2" + ], + "𨛣": [ + "ㄑㄧㄣ2" + ], + "𨛤": [ + "ㄏㄨㄟ2" + ], + "𨛥": [ + "ㄆㄨ2" + ], + "𨛫": [ + "ㄌㄧ2" + ], + "𨛬": [ + "ㄆㄟ2" + ], + "𨛭": [ + "ㄕㄨ1", + "ㄕㄜ4" + ], + "𨛮": [ + "ㄐㄩ1" + ], + "𨛯": [ + "ㄧ2" + ], + "𨛰": [ + "ㄓㄥ1" + ], + "𨛱": [ + "ㄔㄨㄥ2" + ], + "𨛳": [ + "ㄒㄧ2", + "ㄐㄧ2" + ], + "𨛵": [ + "ㄏㄨ3" + ], + "𨛶": [ + "ㄖㄡ2", + "ㄕㄡ4" + ], + "𨜌": [ + "ㄏㄨㄢ4" + ], + "𨜍": [ + "ㄑㄧㄠ4" + ], + "𨜎": [ + "ㄓ1" + ], + "𨜏": [ + "ㄧㄥ2" + ], + "𨜐": [ + "ㄒㄧ3" + ], + "𨜑": [ + "ㄑㄧㄠ1" + ], + "𨜒": [ + "ㄐㄧ4" + ], + "𨜓": [ + "ㄓㄥ1" + ], + "𨜔": [ + "ㄏㄨㄤ2" + ], + "𨜖": [ + "ㄩ2" + ], + "𨜗": [ + "ㄗㄡ1" + ], + "𨜘": [ + "ㄇㄟ2" + ], + "𨜜": [ + "ㄕㄥ3" + ], + "𨜩": [ + "ㄑㄩㄢ2" + ], + "𨜰": [ + "ㄐㄧㄤ1" + ], + "𨜱": [ + "ㄏㄜ2" + ], + "𨜳": [ + "ㄊㄨㄥ2" + ], + "𨜴": [ + "ㄏㄜ2" + ], + "𨜵": [ + "ㄨㄣ1" + ], + "𨜶": [ + "ㄧ4" + ], + "𨜷": [ + "ㄆㄤ2" + ], + "𨜺": [ + "ㄨㄥ1" + ], + "𨜻": [ + "ㄑㄧㄢ2" + ], + "𨜼": [ + "ㄌㄧ4" + ], + "𨜽": [ + "ㄧ2" + ], + "𨜾": [ + "ㄔㄨㄤ4" + ], + "𨜿": [ + "ㄒㄩ4" + ], + "𨝀": [ + "ㄨㄟ3" + ], + "𨝆": [ + "ㄍㄜ1" + ], + "𨝈": [ + "ㄩ3" + ], + "𨝋": [ + "ㄓㄞ4" + ], + "𨝌": [ + "ㄍㄢ1" + ], + "𨝍": [ + "ㄑㄧㄢ1" + ], + "𨝎": [ + "ㄎㄤ1" + ], + "𨝏": [ + "ㄌㄧ2" + ], + "𨝐": [ + "ㄕㄣ1" + ], + "𨝑": [ + "ㄍㄨㄢ4" + ], + "𨝓": [ + "ㄆㄧㄠ2" + ], + "𨝖": [ + "ㄌㄧ2" + ], + "𨝘": [ + "ㄏㄨ3" + ], + "𨝛": [ + "ㄊㄨ2" + ], + "𨝜": [ + "ㄕㄨㄣ4" + ], + "𨝞": [ + "ㄏㄨ4" + ], + "𨝟": [ + "ㄌㄧ2" + ], + "𨝢": [ + "ㄌㄡ4" + ], + "𨝦": [ + "ㄉㄤ4" + ], + "𨝨": [ + "ㄗㄨㄛ4" + ], + "𨝩": [ + "ㄕㄢ1" + ], + "𨝫": [ + "ㄕㄜ4", + "ㄒㄧ4" + ], + "𨝭": [ + "ㄈㄥ2" + ], + "𨝮": [ + "ㄐㄩ4", + "ㄗㄡ1" + ], + "𨝯": [ + "ㄊㄨㄥ2" + ], + "𨝰": [ + "ㄐㄧㄠ3" + ], + "𨝱": [ + "ㄑㄧㄠ2" + ], + "𨝲": [ + "ㄍㄠ1", + "ㄏㄠ4" + ], + "𨝳": [ + "ㄗ1" + ], + "𨝴": [ + "ㄏㄨㄤ2" + ], + "𨝵": [ + "ㄕㄢ1" + ], + "𨝸": [ + "ㄊㄢ2" + ], + "𨞌": [ + "ㄊㄨㄛ1" + ], + "𨞎": [ + "ㄌㄧㄥ4" + ], + "𨞐": [ + "ㄔㄥ2" + ], + "𨞑": [ + "ㄨㄥ4" + ], + "𨞒": [ + "ㄗㄨㄛ2" + ], + "𨞓": [ + "ㄩ4" + ], + "𨞕": [ + "ㄓㄨ2", + "ㄔㄨ4" + ], + "𨞗": [ + "ㄑㄩㄣ2" + ], + "𨞘": [ + "ㄒㄧ3" + ], + "𨞙": [ + "ㄑㄩ2" + ], + "𨞛": [ + "ㄍㄜ2" + ], + "𨞢": [ + "ㄑㄧ1" + ], + "𨞣": [ + "ㄒㄩ1" + ], + "𨞨": [ + "ㄍㄞ4" + ], + "𨞩": [ + "ㄑㄩㄝ4" + ], + "𨞪": [ + "ㄔㄡ2", + "ㄕㄡ4" + ], + "𨞫": [ + "ㄇㄥ2" + ], + "𨞲": [ + "ㄕㄣ1" + ], + "𨞳": [ + "ㄑㄩ2" + ], + "𨞶": [ + "ㄑㄧㄠ1" + ], + "𨞷": [ + "ㄘㄢ2" + ], + "𨞺": [ + "ㄌㄧ4" + ], + "𨞼": [ + "ㄨㄢ4" + ], + "𨞽": [ + "ㄌㄟ2" + ], + "𨞾": [ + "ㄒㄧㄥ1" + ], + "𨞿": [ + "ㄌㄤ2" + ], + "𨟂": [ + "ㄕ4" + ], + "𨟃": [ + "ㄓㄥ1" + ], + "𨟄": [ + "ㄈㄢ2" + ], + "𨟊": [ + "ㄓ4" + ], + "𨟏": [ + "ㄧㄣ2" + ], + "𨟑": [ + "ㄌㄧ4" + ], + "𨟖": [ + "ㄇㄛ2" + ], + "𨟗": [ + "ㄨㄟ3" + ], + "𨟙": [ + "ㄧㄥ1" + ], + "𨟚": [ + "ㄖㄤ2" + ], + "𨟠": [ + "ㄑㄩㄢ1", + "ㄑㄩㄝ4", + "ㄐㄩㄝ2" + ], + "𨟥": [ + "ㄌㄨㄛ3" + ], + "𨟲": [ + "ㄉㄞ4" + ], + "𨟴": [ + "ㄧㄣ4" + ], + "𨟵": [ + "ㄅㄧ3" + ], + "𨟶": [ + "ㄍㄜ1" + ], + "𨟸": [ + "ㄨㄣ4" + ], + "𨟹": [ + "ㄧㄢ3" + ], + "𨟺": [ + "ㄇㄧㄢ3" + ], + "𨟼": [ + "ㄍㄤ3" + ], + "𨟽": [ + "ㄑㄧㄡ2" + ], + "𨟾": [ + "ㄓ1" + ], + "𨠋": [ + "ㄍㄨ1" + ], + "𨠌": [ + "ㄊㄨㄥ2" + ], + "𨠎": [ + "ㄌㄧㄥ2" + ], + "𨠏": [ + "ㄊㄧ2" + ], + "𨠐": [ + "ㄘ2" + ], + "𨠑": [ + "ㄧ2", + "ㄊㄨㄛ2" + ], + "𨠒": [ + "ㄈㄢ4" + ], + "𨠓": [ + "ㄆㄛ1" + ], + "𨠔": [ + "ㄅㄧ4" + ], + "𨠖": [ + "ㄅㄠ4" + ], + "𨠟": [ + "ㄆㄥ1" + ], + "𨠡": [ + "ㄙㄨㄢ1" + ], + "𨠤": [ + "ㄙㄨㄥ1", + "ㄋㄨㄥ2" + ], + "𨠥": [ + "ㄨㄟ2" + ], + "𨠦": [ + "ㄒㄧㄠ2" + ], + "𨠬": [ + "ㄏㄠ4" + ], + "𨠭": [ + "ㄧㄢ3" + ], + "𨠶": [ + "ㄧ2" + ], + "𨠷": [ + "ㄗㄠ1" + ], + "𨠸": [ + "ㄧㄥ3" + ], + "𨠹": [ + "ㄋㄢ3" + ], + "𨠿": [ + "ㄗㄚ1" + ], + "𨡁": [ + "ㄊㄧㄢ3" + ], + "𨡂": [ + "ㄒㄧ1" + ], + "𨡃": [ + "ㄐㄧㄠ4" + ], + "𨡄": [ + "ㄧㄢ2" + ], + "𨡌": [ + "ㄋㄟ2" + ], + "𨡍": [ + "ㄊㄢ3" + ], + "𨡎": [ + "ㄧㄢ4" + ], + "𨡏": [ + "ㄊㄧㄢ3" + ], + "𨡐": [ + "ㄓ4" + ], + "𨡑": [ + "ㄔㄡ1", + "ㄔㄡ2" + ], + "𨡒": [ + "ㄊㄠ2" + ], + "𨡗": [ + "ㄓㄚ4" + ], + "𨡞": [ + "ㄇㄧㄢ3" + ], + "𨡡": [ + "ㄨ3" + ], + "𨡢": [ + "ㄧㄣ3" + ], + "𨡣": [ + "ㄧㄢ4" + ], + "𨡤": [ + "ㄌㄠ3" + ], + "𨡩": [ + "ㄆㄛ1" + ], + "𨡫": [ + "ㄏㄨㄣ4" + ], + "𨡬": [ + "ㄏㄞ3" + ], + "𨡭": [ + "ㄇㄨ2" + ], + "𨡮": [ + "ㄘㄨㄥ1" + ], + "𨡱": [ + "ㄎㄨ4", + "ㄉㄧㄥ3" + ], + "𨡲": [ + "ㄔㄡ1" + ], + "𨡴": [ + "ㄧㄡ3" + ], + "𨡸": [ + "ㄓㄨㄛ2" + ], + "𨡻": [ + "ㄙㄡ1" + ], + "𨢂": [ + "ㄧㄣ4" + ], + "𨢅": [ + "ㄗㄨㄟ4" + ], + "𨢆": [ + "ㄙㄤ1" + ], + "𨢇": [ + "ㄌㄧㄡ4" + ], + "𨢈": [ + "ㄏㄢ4" + ], + "𨢉": [ + "ㄨㄟ4" + ], + "𨢊": [ + "ㄇㄥ2" + ], + "𨢋": [ + "ㄏㄨ2" + ], + "𨢌": [ + "ㄌㄧ4" + ], + "𨢎": [ + "ㄇㄧ4", + "ㄧㄣ1" + ], + "𨢐": [ + "ㄅㄤ1" + ], + "𨢑": [ + "ㄐㄧㄢ3" + ], + "𨢜": [ + "ㄑㄩㄝ4" + ], + "𨢠": [ + "ㄇㄥ2" + ], + "𨢢": [ + "ㄇㄨ2" + ], + "𨢣": [ + "ㄏㄨㄥ3" + ], + "𨢤": [ + "ㄏㄨ4" + ], + "𨢥": [ + "ㄇㄧ2" + ], + "𨢦": [ + "ㄕㄞ4", + "ㄓㄚ4" + ], + "𨢩": [ + "ㄕㄤ1" + ], + "𨢪": [ + "ㄔㄠ4" + ], + "𨢬": [ + "ㄓㄨㄛ2", + "ㄊㄨ2" + ], + "𨢮": [ + "ㄓ1" + ], + "𨢯": [ + "ㄋㄧㄢ4" + ], + "𨢵": [ + "ㄐㄧ4" + ], + "𨢸": [ + "ㄎㄜ1" + ], + "𨢹": [ + "ㄓㄥ1" + ], + "𨢿": [ + "ㄉㄢ1" + ], + "𨣀": [ + "ㄌㄧㄠ3" + ], + "𨣁": [ + "ㄓㄢ3" + ], + "𨣂": [ + "ㄍㄨㄥ3" + ], + "𨣃": [ + "ㄌㄠ2", + "ㄌㄠ4" + ], + "𨣄": [ + "ㄏㄨㄚ1" + ], + "𨣅": [ + "ㄔㄨㄞ4" + ], + "𨣇": [ + "ㄐㄧㄢ3" + ], + "𨣈": [ + "ㄎㄨㄟ4" + ], + "𨣍": [ + "ㄕㄜ1" + ], + "𨣔": [ + "ㄔㄣ3" + ], + "𨣕": [ + "ㄊㄢ3" + ], + "𨣗": [ + "ㄏㄨ2" + ], + "𨣘": [ + "ㄇㄥ2" + ], + "𨣙": [ + "ㄆㄠ4" + ], + "𨣚": [ + "ㄓㄢ3" + ], + "𨣛": [ + "ㄔㄤ2" + ], + "𨣝": [ + "ㄍㄢ3", + "ㄐㄧㄢ3" + ], + "𨣠": [ + "ㄧ4" + ], + "𨣢": [ + "ㄙㄨㄟ4" + ], + "𨣦": [ + "ㄒㄩ4" + ], + "𨣧": [ + "ㄐㄧ4" + ], + "𨣨": [ + "ㄌㄢ4" + ], + "𨣬": [ + "ㄧ2" + ], + "𨣯": [ + "ㄇㄧ4" + ], + "𨣱": [ + "ㄇㄧㄝ4" + ], + "𨣵": [ + "ㄘㄨㄢ2" + ], + "𨣸": [ + "ㄌㄢ3" + ], + "𨣻": [ + "ㄧㄢ1", + "ㄧㄢ3" + ], + "𨣾": [ + "ㄇㄧ2" + ], + "𨤂": [ + "ㄩㄥ3" + ], + "𨤃": [ + "ㄘㄤ2", + "ㄗㄚ1" + ], + "𨤄": [ + "ㄐㄧㄢ3" + ], + "𨤇": [ + "ㄙㄡ1", + "ㄗㄠ1" + ], + "𨤎": [ + "ㄧㄢ2" + ], + "𨤑": [ + "ㄐㄩㄢ4" + ], + "𨤕": [ + "ㄜ4" + ], + "𨤘": [ + "ㄈㄣ4" + ], + "𨤚": [ + "ㄈㄣ4" + ], + "𨤡": [ + "ㄍㄨㄤ4" + ], + "𨤢": [ + "ㄇㄞ2" + ], + "𨤤": [ + "ㄌㄧㄝ3" + ], + "𨤩": [ + "ㄔㄨㄥ1" + ], + "𨤫": [ + "ㄌㄧ2" + ], + "𨤱": [ + "ㄓ2" + ], + "𨤴": [ + "ㄒㄧㄝ4" + ], + "𨤷": [ + "ㄔㄡ2" + ], + "𨤹": [ + "ㄐㄧ2" + ], + "𨤽": [ + "ㄆㄧ1" + ], + "𨥂": [ + "ㄐㄧㄝ2" + ], + "𨥇": [ + "ㄓㄡ3", + "ㄓㄨ4" + ], + "𨥍": [ + "ㄒㄩㄥ1" + ], + "𨥑": [ + "ㄎㄨㄤ4", + "ㄍㄨㄥ3" + ], + "𨥙": [ + "ㄐㄧㄥ3" + ], + "𨥛": [ + "ㄏㄨ4" + ], + "𨥞": [ + "ㄑㄧㄢ2" + ], + "𨥣": [ + "ㄘㄣ2" + ], + "𨥦": [ + "ㄑㄧ2" + ], + "𨥧": [ + "ㄨㄢ3", + "ㄈㄢ4", + "ㄅㄧㄢ1" + ], + "𨥨": [ + "ㄇㄠ2" + ], + "𨥪": [ + "ㄉㄡ3" + ], + "𨥴": [ + "ㄎㄡ3" + ], + "𨥶": [ + "ㄉㄞ4" + ], + "𨥸": [ + "ㄋㄠ2" + ], + "𨥺": [ + "ㄏㄨㄥ2" + ], + "𨦂": [ + "ㄌㄞ3" + ], + "𨦃": [ + "ㄉㄨㄛ3", + "ㄉㄨㄛ4" + ], + "𨦄": [ + "ㄑㄧㄢ1" + ], + "𨦆": [ + "ㄧㄣ2" + ], + "𨦖": [ + "ㄌㄡ4" + ], + "𨦗": [ + "ㄏㄨㄟ1" + ], + "𨦛": [ + "ㄈㄨ4" + ], + "𨦜": [ + "ㄇㄠ2" + ], + "𨦞": [ + "ㄓㄡ1" + ], + "𨦡": [ + "ㄩㄥ2", + "ㄧㄤ2" + ], + "𨦭": [ + "ㄌㄠ2" + ], + "𨦮": [ + "ㄐㄧ2" + ], + "𨦯": [ + "ㄧ4" + ], + "𨦰": [ + "ㄌㄧㄡ2" + ], + "𨦱": [ + "ㄘㄨㄥ1" + ], + "𨦳": [ + "ㄋㄢ3" + ], + "𨧀": [ + "ㄉㄨ4" + ], + "𨧐": [ + "ㄊㄨㄣ1" + ], + "𨧑": [ + "ㄒㄧㄤ4" + ], + "𨧕": [ + "ㄅㄧㄢ4" + ], + "𨧖": [ + "ㄔㄨㄤ2" + ], + "𨧗": [ + "ㄨ4" + ], + "𨧙": [ + "ㄐㄩ1" + ], + "𨧥": [ + "ㄒㄧㄝ1" + ], + "𨧦": [ + "ㄆㄧ1" + ], + "𨧧": [ + "ㄓㄨㄛ2" + ], + "𨧨": [ + "ㄖㄨㄟ4", + "ㄓㄨㄟ4" + ], + "𨧪": [ + "ㄙㄠ4" + ], + "𨧫": [ + "ㄗ4" + ], + "𨧭": [ + "ㄓㄥ4" + ], + "𨧰": [ + "ㄗㄨ2" + ], + "𨧱": [ + "ㄑㄩ1" + ], + "𨧳": [ + "ㄔ4" + ], + "𨧵": [ + "ㄓ4" + ], + "𨨏": [ + "ㄅㄛ1" + ], + "𨨗": [ + "ㄑㄩㄢ4" + ], + "𨨘": [ + "ㄑㄧㄢ1" + ], + "𨨙": [ + "ㄧㄚ1" + ], + "𨨚": [ + "ㄔㄠ4" + ], + "𨨛": [ + "ㄏㄜ2" + ], + "𨨜": [ + "ㄖㄨ3" + ], + "𨨠": [ + "ㄐㄩ1" + ], + "𨨡": [ + "ㄨ4" + ], + "𨨬": [ + "ㄔ4" + ], + "𨨭": [ + "ㄎㄨㄤ4", + "ㄍㄨㄥ3" + ], + "𨨯": [ + "ㄘㄡ4", + "ㄓㄡ4" + ], + "𨨰": [ + "ㄖㄨㄢ4" + ], + "𨨱": [ + "ㄎㄨㄛ4" + ], + "𨨲": [ + "ㄔ2" + ], + "𨨳": [ + "ㄗㄨ2" + ], + "𨨴": [ + "ㄐㄧㄠ1" + ], + "𨨶": [ + "ㄩ2" + ], + "𨨷": [ + "ㄊㄨ2" + ], + "𨨸": [ + "ㄇㄥ2" + ], + "𨨹": [ + "ㄉㄚ1" + ], + "𨨺": [ + "ㄕㄨㄛ4", + "ㄒㄩㄝ1" + ], + "𨩥": [ + "ㄈㄥ1" + ], + "𨩦": [ + "ㄍㄡ3" + ], + "𨩧": [ + "ㄉㄨㄥ1" + ], + "𨩨": [ + "ㄔㄚ3" + ], + "𨩩": [ + "ㄇㄠ4" + ], + "𨩪": [ + "ㄔㄢ3" + ], + "𨩫": [ + "ㄅㄧㄢ1" + ], + "𨩬": [ + "ㄩ4" + ], + "𨩯": [ + "ㄨㄢ2" + ], + "𨩰": [ + "ㄗㄨ2" + ], + "𨩲": [ + "ㄗ1" + ], + "𨩴": [ + "ㄔㄨㄢ1" + ], + "𨩵": [ + "ㄨㄢ3" + ], + "𨩶": [ + "ㄨㄚ1" + ], + "𨩸": [ + "ㄑㄩㄢ1", + "ㄐㄩㄢ1" + ], + "𨩻": [ + "ㄨㄢ3" + ], + "𨩽": [ + "ㄒㄧㄚ4" + ], + "𨪄": [ + "ㄧㄥ4" + ], + "𨪅": [ + "ㄐㄧㄢ4" + ], + "𨪈": [ + "ㄨㄟ3" + ], + "𨪉": [ + "ㄊㄧ2" + ], + "𨪊": [ + "ㄙㄠ1" + ], + "𨪌": [ + "ㄑㄧ2" + ], + "𨪍": [ + "ㄕㄚ1" + ], + "𨪎": [ + "ㄩ4" + ], + "𨪏": [ + "ㄐㄧ2" + ], + "𨪐": [ + "ㄉㄡ4", + "ㄊㄡ1" + ], + "𨪑": [ + "ㄔㄢ3" + ], + "𨪒": [ + "ㄊㄨㄢ2" + ], + "𨪕": [ + "ㄌㄧㄡ2" + ], + "𨪗": [ + "ㄓㄨㄟ4" + ], + "𨪳": [ + "ㄖㄨㄢ4" + ], + "𨪶": [ + "ㄧㄢ4" + ], + "𨪷": [ + "ㄍㄨ3" + ], + "𨪹": [ + "ㄌㄧ4" + ], + "𨪺": [ + "ㄔㄚ1" + ], + "𨪾": [ + "ㄉㄧ4" + ], + "𨪿": [ + "ㄌㄧㄡ2" + ], + "𨫀": [ + "ㄓㄢ3" + ], + "𨫁": [ + "ㄆㄛ1" + ], + "𨫒": [ + "ㄌㄡ4" + ], + "𨫔": [ + "ㄓ4", + "ㄒㄧㄝ4" + ], + "𨬁": [ + "ㄌㄧㄢ2" + ], + "𨬅": [ + "ㄌㄨㄛ3" + ], + "𨬍": [ + "ㄉㄨㄛ4", + "ㄉㄨㄟ4" + ], + "𨬐": [ + "ㄐㄩㄝ2" + ], + "𨬑": [ + "ㄌㄧ4" + ], + "𨬒": [ + "ㄌㄢ2" + ], + "𨬔": [ + "ㄖㄨㄢ4" + ], + "𨬕": [ + "ㄍㄨ1" + ], + "𨬖": [ + "ㄔㄢ2" + ], + "𨬗": [ + "ㄒㄩ1" + ], + "𨬚": [ + "ㄓ3" + ], + "𨭁": [ + "ㄒㄩㄝ4" + ], + "𨭂": [ + "ㄅㄛ1" + ], + "𨭃": [ + "ㄔㄥ1" + ], + "𨭅": [ + "ㄓㄨ4" + ], + "𨭆": [ + "ㄏㄟ1" + ], + "𨭉": [ + "ㄅㄢ1" + ], + "𨭎": [ + "ㄒㄧ3" + ], + "𨭓": [ + "ㄉㄧㄝ2" + ], + "𨭖": [ + "ㄓㄢ3" + ], + "𨭗": [ + "ㄍㄨㄛ2" + ], + "𨭚": [ + "ㄅㄧㄠ1" + ], + "𨭛": [ + "ㄌㄚ4", + "ㄍㄜ3" + ], + "𨭺": [ + "ㄐㄧㄣ1" + ], + "𨮂": [ + "ㄍㄞ3" + ], + "𨮒": [ + "ㄇㄥ4" + ], + "𨮔": [ + "ㄩ4" + ], + "𨮪": [ + "ㄒㄧ3" + ], + "𨮬": [ + "ㄆㄧㄠ1" + ], + "𨮭": [ + "ㄙ1" + ], + "𨮴": [ + "ㄉㄥ4" + ], + "𨮸": [ + "ㄔㄨㄛ1" + ], + "𨮹": [ + "ㄉㄧ2" + ], + "𨮺": [ + "ㄐㄧ1" + ], + "𨮻": [ + "ㄔㄢ2" + ], + "𨮿": [ + "ㄓㄨㄛ2" + ], + "𨯓": [ + "ㄘㄞ4" + ], + "𨯞": [ + "ㄐㄧㄤ4" + ], + "𨯲": [ + "ㄊㄡ2" + ], + "𨯽": [ + "ㄌㄧ2" + ], + "𨰂": [ + "ㄑㄧㄢ4" + ], + "𨰆": [ + "ㄔㄨㄛ1" + ], + "𨰏": [ + "ㄊㄚ4" + ], + "𨰑": [ + "ㄉㄧㄠ4" + ], + "𨰓": [ + "ㄐㄧㄢ3" + ], + "𨰛": [ + "ㄓ3" + ], + "𨰜": [ + "ㄐㄩㄝ2" + ], + "𨰞": [ + "ㄇㄛ2" + ], + "𨰠": [ + "ㄌㄨㄛ2" + ], + "𨰦": [ + "ㄅㄠ3" + ], + "𨰭": [ + "ㄗㄨㄢ3" + ], + "𨰵": [ + "ㄓㄜ1" + ], + "𨰸": [ + "ㄩ2" + ], + "𨰻": [ + "ㄅㄠ3" + ], + "𨰾": [ + "ㄇㄚ3" + ], + "𨰿": [ + "ㄒㄧ4" + ], + "𨱀": [ + "ㄏㄨ4" + ], + "𨱁": [ + "ㄧ4" + ], + "𨱂": [ + "ㄜ2" + ], + "𨱃": [ + "ㄍㄨ1" + ], + "𨱄": [ + "ㄊㄨ2" + ], + "𨱅": [ + "ㄓㄣ1" + ], + "𨱇": [ + "ㄑㄧㄡ2" + ], + "𨱈": [ + "ㄙㄨ4" + ], + "𨱉": [ + "ㄌㄧㄤ4" + ], + "𨱊": [ + "ㄑㄩ1" + ], + "𨱋": [ + "ㄌㄧㄥ2" + ], + "𨱌": [ + "ㄍㄨㄢ4" + ], + "𨱍": [ + "ㄌㄤ2" + ], + "𨱎": [ + "ㄊㄡ1" + ], + "𨱏": [ + "ㄉㄚ1" + ], + "𨱐": [ + "ㄌㄡ4" + ], + "𨱑": [ + "ㄏㄨㄤ2" + ], + "𨱒": [ + "ㄕㄡ4" + ], + "𨱓": [ + "ㄐㄧㄠ1" + ], + "𨱔": [ + "ㄗㄨㄣ1" + ], + "𨱕": [ + "ㄍㄞ3" + ], + "𨱖": [ + "ㄨㄟ2" + ], + "𨱙": [ + "ㄎㄨㄣ1" + ], + "𨱚": [ + "ㄉㄨㄢ4" + ], + "𨱛": [ + "ㄙㄨㄥ1" + ], + "𨱜": [ + "ㄑㄧ2" + ], + "𨱝": [ + "ㄧㄤ3" + ], + "𨱡": [ + "ㄕ4" + ], + "𨱣": [ + "ㄍㄞ3" + ], + "𨱦": [ + "ㄉㄠ4" + ], + "𨱧": [ + "ㄧㄠ3", + "ㄠ3" + ], + "𨱫": [ + "ㄑㄧㄢ2" + ], + "𨱭": [ + "ㄕㄠ1" + ], + "𨱮": [ + "ㄔㄤ2" + ], + "𨱯": [ + "ㄇㄧㄡ3" + ], + "𨱱": [ + "ㄇㄛ2" + ], + "𨱵": [ + "ㄋㄠ3" + ], + "𨱸": [ + "ㄘㄨㄥ1" + ], + "𨱺": [ + "ㄋㄧㄝ4" + ], + "𨱻": [ + "ㄓㄠ1" + ], + "𨱼": [ + "ㄘㄣ2" + ], + "𨱿": [ + "ㄙㄨㄥ1" + ], + "𨲀": [ + "ㄋㄧㄝ4" + ], + "𨲁": [ + "ㄘ4" + ], + "𨲄": [ + "ㄐㄩㄣ4" + ], + "𨲆": [ + "ㄕㄠ1" + ], + "𨲈": [ + "ㄓㄨ2" + ], + "𨲉": [ + "ㄉㄨㄛ3", + "ㄊㄨㄛ3", + "ㄕㄥ4" + ], + "𨲊": [ + "ㄢ4" + ], + "𨲋": [ + "ㄅㄧ1" + ], + "𨲎": [ + "ㄊㄧ4" + ], + "𨲐": [ + "ㄆㄧ3" + ], + "𨲑": [ + "ㄒㄧㄚ2" + ], + "𨲒": [ + "ㄑㄧㄡ2" + ], + "𨲓": [ + "ㄕㄥ3" + ], + "𨲗": [ + "ㄊㄤ1" + ], + "𨲛": [ + "ㄇㄢ2", + "ㄇㄧㄢ2" + ], + "𨲜": [ + "ㄆㄧㄢ1" + ], + "𨲞": [ + "ㄊㄧ4" + ], + "𨲟": [ + "ㄖㄨㄥ2" + ], + "𨲧": [ + "ㄘㄨㄥ1" + ], + "𨲪": [ + "ㄐㄧ1" + ], + "𨲫": [ + "ㄈㄥ2" + ], + "𨲬": [ + "ㄨ4" + ], + "𨲭": [ + "ㄐㄧㄠ4" + ], + "𨲮": [ + "ㄌㄠ2" + ], + "𨲯": [ + "ㄗㄥ1" + ], + "𨲰": [ + "ㄆㄥ2" + ], + "𨲱": [ + "ㄘㄢ3" + ], + "𨲳": [ + "ㄋㄨㄥ2" + ], + "𨲵": [ + "ㄔㄢ3" + ], + "𨲾": [ + "ㄇㄢ2", + "ㄇㄧㄢ2" + ], + "𨲿": [ + "ㄍㄨㄟ4" + ], + "𨳀": [ + "ㄋㄧㄠ4" + ], + "𨳁": [ + "ㄔㄨㄥ1" + ], + "𨳂": [ + "ㄔㄢ4" + ], + "𨳆": [ + "ㄋㄤ4" + ], + "𨳉": [ + "ㄒㄧㄚ1" + ], + "𨳊": [ + "ㄐㄧㄡ1" + ], + "𨳋": [ + "ㄐㄧ3" + ], + "𨳌": [ + "ㄓㄣ4" + ], + "𨳑": [ + "ㄊㄧㄥ3" + ], + "𨳔": [ + "ㄇㄣ2" + ], + "𨳕": [ + "ㄩㄝ4" + ], + "𨳗": [ + "ㄓㄨㄥ1" + ], + "𨳘": [ + "ㄊㄨㄣ2" + ], + "𨳙": [ + "ㄖㄨㄟ4" + ], + "𨳚": [ + "ㄒㄧㄝ4", + "ㄈㄣ1" + ], + "𨳛": [ + "ㄒㄧ1" + ], + "𨳝": [ + "ㄊㄧㄥ3", + "ㄖㄨㄣ4" + ], + "𨳞": [ + "ㄋㄧㄡ3" + ], + "𨳠": [ + "ㄨㄤ3" + ], + "𨳡": [ + "ㄐㄧㄢ1", + "ㄍㄨㄢ1" + ], + "𨳣": [ + "ㄈㄣ1" + ], + "𨳲": [ + "ㄅㄧㄢ4", + "ㄅㄧ4" + ], + "𨳷": [ + "ㄧ2" + ], + "𨳺": [ + "ㄉㄧㄝ2" + ], + "𨳻": [ + "ㄐㄧ1" + ], + "𨳼": [ + "ㄍㄢ3" + ], + "𨳿": [ + "ㄐㄧㄢ1", + "ㄒㄧ4", + "ㄇㄚ3" + ], + "𨴀": [ + "ㄐㄩㄥ1" + ], + "𨴆": [ + "ㄎㄞ1" + ], + "𨴊": [ + "ㄑㄩㄝ4", + "ㄍㄨㄢ1" + ], + "𨴌": [ + "ㄋㄢ2" + ], + "𨴍": [ + "ㄇㄡ2" + ], + "𨴎": [ + "ㄒㄩ4" + ], + "𨴏": [ + "ㄙㄨㄥ3" + ], + "𨴐": [ + "ㄕㄣ4" + ], + "𨴑": [ + "ㄎㄨㄤ1" + ], + "𨴒": [ + "ㄑㄩㄝ4" + ], + "𨴓": [ + "ㄨㄟ2" + ], + "𨴗": [ + "ㄉㄧㄝ2" + ], + "𨴘": [ + "ㄋㄢ2" + ], + "𨴚": [ + "ㄖㄨㄛ4" + ], + "𨴛": [ + "ㄍㄨㄥ1" + ], + "𨴜": [ + "ㄉㄡ4", + "ㄧㄡ4" + ], + "𨴞": [ + "ㄋㄧㄢ3" + ], + "𨴡": [ + "ㄔㄠ1" + ], + "𨴢": [ + "ㄏㄜ2" + ], + "𨴣": [ + "ㄧㄢ4" + ], + "𨴩": [ + "ㄊㄨ2" + ], + "𨴪": [ + "ㄅㄨ3" + ], + "𨴬": [ + "ㄏㄨ2" + ], + "𨴭": [ + "ㄩㄥ3" + ], + "𨴯": [ + "ㄕ3" + ], + "𨴰": [ + "ㄔㄨ4" + ], + "𨴹": [ + "ㄒㄧㄠ1" + ], + "𨴺": [ + "ㄇㄣ2" + ], + "𨴻": [ + "ㄌㄧ3" + ], + "𨴼": [ + "ㄊㄧ2" + ], + "𨴾": [ + "ㄐㄧㄢ1" + ], + "𨵂": [ + "ㄓ3" + ], + "𨵃": [ + "ㄍㄨㄚ1", + "ㄈㄨ3", + "ㄩㄝ4" + ], + "𨵄": [ + "ㄍㄨㄢ3" + ], + "𨵆": [ + "ㄑㄧ4" + ], + "𨵈": [ + "ㄈㄟ1" + ], + "𨵉": [ + "ㄩ3" + ], + "𨵊": [ + "ㄓㄜ2" + ], + "𨵋": [ + "ㄨㄟ3" + ], + "𨵌": [ + "ㄜ3" + ], + "𨵍": [ + "ㄔㄢ1" + ], + "𨵎": [ + "ㄒㄧ1", + "ㄑㄧ2" + ], + "𨵐": [ + "ㄍㄨ3" + ], + "𨵗": [ + "ㄑㄩㄝ4" + ], + "𨵘": [ + "ㄏㄨㄟ4" + ], + "𨵚": [ + "ㄒㄧㄝ2" + ], + "𨵛": [ + "ㄧㄥ1" + ], + "𨵝": [ + "ㄊㄚ4" + ], + "𨵞": [ + "ㄨㄞ1" + ], + "𨵟": [ + "ㄈㄨ2" + ], + "𨵠": [ + "ㄐㄧㄝ4" + ], + "𨵡": [ + "ㄆㄧ4" + ], + "𨵥": [ + "ㄕㄥ3" + ], + "𨵦": [ + "ㄩ2" + ], + "𨵧": [ + "ㄎㄨㄚ1" + ], + "𨵩": [ + "ㄆㄧ4" + ], + "𨵪": [ + "ㄒㄧㄝ2" + ], + "𨵫": [ + "ㄋㄩㄝ4" + ], + "𨵬": [ + "ㄒㄧㄢ4" + ], + "𨵭": [ + "ㄐㄧㄢ4" + ], + "𨵮": [ + "ㄒㄩ4" + ], + "𨵰": [ + "ㄅㄧ4" + ], + "𨵴": [ + "ㄋㄢ2" + ], + "𨵶": [ + "ㄌㄧㄤ2" + ], + "𨵸": [ + "ㄆㄧㄢ2" + ], + "𨵼": [ + "ㄐㄧㄥ4" + ], + "𨶀": [ + "ㄊㄚ3" + ], + "𨶁": [ + "ㄧㄢ4" + ], + "𨶂": [ + "ㄞ4" + ], + "𨶅": [ + "ㄒㄧㄠ1" + ], + "𨶆": [ + "ㄑㄧㄤ1" + ], + "𨶇": [ + "ㄨ3" + ], + "𨶈": [ + "ㄊㄤ2" + ], + "𨶊": [ + "ㄐㄩㄣ4" + ], + "𨶐": [ + "ㄎㄨㄛ4" + ], + "𨶗": [ + "ㄌㄤ4" + ], + "𨶙": [ + "ㄋㄥ3" + ], + "𨶜": [ + "ㄉㄡ4", + "ㄉㄡ3" + ], + "𨶝": [ + "ㄕㄨ2" + ], + "𨶟": [ + "ㄐㄧㄠ3" + ], + "𨶠": [ + "ㄋㄧㄝ4" + ], + "𨶢": [ + "ㄩ2" + ], + "𨶨": [ + "ㄘㄜ4" + ], + "𨶪": [ + "ㄐㄧㄠ3", + "ㄌㄧㄡ2" + ], + "𨶬": [ + "ㄏㄨㄚ4" + ], + "𨶭": [ + "ㄨㄣ2" + ], + "𨶮": [ + "ㄧㄝ1" + ], + "𨶯": [ + "ㄜ2" + ], + "𨶰": [ + "ㄍㄨㄤ1" + ], + "𨶱": [ + "ㄏㄨㄚ1" + ], + "𨶲": [ + "ㄐㄧㄠ1" + ], + "𨶺": [ + "ㄌㄟ4" + ], + "𨶼": [ + "ㄕㄤ1" + ], + "𨶽": [ + "ㄩㄥ4" + ], + "𨶿": [ + "ㄉㄥ1" + ], + "𨷀": [ + "ㄍㄨㄢ1" + ], + "𨷁": [ + "ㄋㄧㄡ2" + ], + "𨷃": [ + "ㄙㄨㄟ4" + ], + "𨷄": [ + "ㄒㄧㄤ4" + ], + "𨷆": [ + "ㄙㄚ4" + ], + "𨷇": [ + "ㄔㄤ1" + ], + "𨷎": [ + "ㄖㄨㄣ4" + ], + "𨷐": [ + "ㄩㄣ1" + ], + "𨷒": [ + "ㄈㄣ1" + ], + "𨷓": [ + "ㄐㄧㄢ4" + ], + "𨷔": [ + "ㄒㄩ4" + ], + "𨷘": [ + "ㄒㄧ4" + ], + "𨷙": [ + "ㄕㄨ2" + ], + "𨷥": [ + "ㄒㄧㄝ2" + ], + "𨷦": [ + "ㄌㄧ4" + ], + "𨷩": [ + "ㄊㄡ2" + ], + "𨷬": [ + "ㄇㄧ3" + ], + "𨷭": [ + "ㄔㄢ2" + ], + "𨷮": [ + "ㄏㄨㄛ1" + ], + "𨷱": [ + "ㄓㄨㄢ3" + ], + "𨷲": [ + "ㄩㄝ4" + ], + "𨷻": [ + "ㄌㄢ2" + ], + "𨷽": [ + "ㄧㄢ2" + ], + "𨷾": [ + "ㄉㄤ4" + ], + "𨷿": [ + "ㄒㄧㄤ4" + ], + "𨸀": [ + "ㄩㄝ4" + ], + "𨸁": [ + "ㄊㄧㄥ3" + ], + "𨸂": [ + "ㄅㄥ1" + ], + "𨸃": [ + "ㄙㄢ4" + ], + "𨸄": [ + "ㄒㄧㄢ4" + ], + "𨸅": [ + "ㄉㄧㄝ2" + ], + "𨸆": [ + "ㄆㄧ4" + ], + "𨸇": [ + "ㄆㄧㄢ2" + ], + "𨸉": [ + "ㄊㄚ3" + ], + "𨸋": [ + "ㄐㄧㄠ1" + ], + "𨸌": [ + "ㄧㄝ1" + ], + "𨸎": [ + "ㄩㄝ4" + ], + "𨸐": [ + "ㄖㄥ2" + ], + "𨸑": [ + "ㄑㄧㄠ3" + ], + "𨸒": [ + "ㄑㄧ2" + ], + "𨸓": [ + "ㄉㄧㄠ1" + ], + "𨸔": [ + "ㄑㄧ2", + "ㄨㄟ2" + ], + "𨸗": [ + "ㄏㄢ4" + ], + "𨸘": [ + "ㄩㄢ2" + ], + "𨸙": [ + "ㄧㄡ2" + ], + "𨸚": [ + "ㄐㄧ2" + ], + "𨸛": [ + "ㄍㄞ4" + ], + "𨸜": [ + "ㄏㄞ1" + ], + "𨸝": [ + "ㄕ4" + ], + "𨸟": [ + "ㄑㄩ1" + ], + "𨸩": [ + "ㄨㄣ4" + ], + "𨸬": [ + "ㄓㄣ4" + ], + "𨸭": [ + "ㄆㄛ1" + ], + "𨸮": [ + "ㄧㄢ2", + "ㄩㄣ3" + ], + "𨸯": [ + "ㄍㄨ1" + ], + "𨸰": [ + "ㄐㄩ2" + ], + "𨸱": [ + "ㄊㄧㄢ4", + "ㄋㄧㄢ3" + ], + "𨸷": [ + "ㄜ4" + ], + "𨸺": [ + "ㄧㄚ1" + ], + "𨸻": [ + "ㄌㄧㄣ4" + ], + "𨸼": [ + "ㄅㄧ4" + ], + "𨹀": [ + "ㄗ3" + ], + "𨹁": [ + "ㄏㄨㄥ2" + ], + "𨹃": [ + "ㄉㄨㄛ3", + "ㄉㄨㄛ4" + ], + "𨹅": [ + "ㄉㄨㄟ4" + ], + "𨹆": [ + "ㄒㄩㄢ4" + ], + "𨹈": [ + "ㄕㄢ3", + "ㄧㄤ2" + ], + "𨹊": [ + "ㄕㄢ3" + ], + "𨹋": [ + "ㄧㄠ2" + ], + "𨹌": [ + "ㄖㄢ3" + ], + "𨹔": [ + "ㄊㄨㄛ2" + ], + "𨹗": [ + "ㄅㄧㄥ1" + ], + "𨹘": [ + "ㄒㄩ4" + ], + "𨹙": [ + "ㄊㄨㄣ1" + ], + "𨹚": [ + "ㄔㄥ2" + ], + "𨹜": [ + "ㄉㄡ4" + ], + "𨹝": [ + "ㄧ4", + "ㄧㄚ4" + ], + "𨹡": [ + "ㄔㄜ4" + ], + "𨹵": [ + "ㄐㄩㄢ3" + ], + "𨹶": [ + "ㄐㄧ1" + ], + "𨹸": [ + "ㄓㄠ4" + ], + "𨹹": [ + "ㄅㄥ1", + "ㄅㄥ4" + ], + "𨹻": [ + "ㄊㄧㄢ3" + ], + "𨺀": [ + "ㄆㄥ1" + ], + "𨺅": [ + "ㄈㄨ4" + ], + "𨺖": [ + "ㄊㄨㄛ3" + ], + "𨺘": [ + "ㄒㄧㄢ2" + ], + "𨺙": [ + "ㄋㄧ4" + ], + "𨺚": [ + "ㄌㄨㄥ2" + ], + "𨺝": [ + "ㄓㄨㄛ2" + ], + "𨺟": [ + "ㄓㄥ1" + ], + "𨺠": [ + "ㄕㄨㄣ3" + ], + "𨺡": [ + "ㄗㄨㄥ1" + ], + "𨺢": [ + "ㄈㄥ1" + ], + "𨺣": [ + "ㄉㄨㄢ4" + ], + "𨺤": [ + "ㄆㄧ4" + ], + "𨺥": [ + "ㄧㄢ3" + ], + "𨺦": [ + "ㄙㄡ3" + ], + "𨺧": [ + "ㄑㄧㄡ2" + ], + "𨺨": [ + "ㄜ4" + ], + "𨺩": [ + "ㄑㄧㄢ2" + ], + "𨺫": [ + "ㄑㄧㄢ3" + ], + "𨺭": [ + "ㄘㄚ1" + ], + "𨺮": [ + "ㄒㄩㄣ4" + ], + "𨺵": [ + "ㄓㄨㄟ4" + ], + "𨺸": [ + "ㄇㄠ3" + ], + "𨺹": [ + "ㄐㄧㄠ3" + ], + "𨺿": [ + "ㄓㄢ3" + ], + "𨻀": [ + "ㄆㄧ2", + "ㄅㄧ1" + ], + "𨻁": [ + "ㄒㄧ1" + ], + "𨻂": [ + "ㄧㄢ4" + ], + "𨻃": [ + "ㄈㄟ4" + ], + "𨻄": [ + "ㄋㄧㄝ4" + ], + "𨻆": [ + "ㄓ4" + ], + "𨻈": [ + "ㄙㄨㄛ3" + ], + "𨻊": [ + "ㄧ4" + ], + "𨻌": [ + "ㄌㄟ3" + ], + "𨻍": [ + "ㄒㄩ4" + ], + "𨻏": [ + "ㄧ4" + ], + "𨻒": [ + "ㄨㄟ1" + ], + "𨻕": [ + "ㄐㄧ1" + ], + "𨻖": [ + "ㄔㄣ1" + ], + "𨻗": [ + "ㄉㄧㄝ2" + ], + "𨻣": [ + "ㄩㄢ2" + ], + "𨻥": [ + "ㄒㄧ2" + ], + "𨻧": [ + "ㄌㄧㄡ2" + ], + "𨻨": [ + "ㄙㄨㄛ3" + ], + "𨻱": [ + "ㄅㄥ1" + ], + "𨻲": [ + "ㄒㄧㄚ4" + ], + "𨻳": [ + "ㄧㄢ4", + "ㄧㄢ1" + ], + "𨻵": [ + "ㄘㄨㄟ1", + "ㄗㄨㄟ1", + "ㄉㄨㄟ4" + ], + "𨻷": [ + "ㄎㄤ1" + ], + "𨻺": [ + "ㄑㄧㄥ1" + ], + "𨻻": [ + "ㄌㄡ2" + ], + "𨻼": [ + "ㄅㄧ1" + ], + "𨼈": [ + "ㄓㄢ4" + ], + "𨼉": [ + "ㄘㄨㄢ4" + ], + "𨼊": [ + "ㄨ2" + ], + "𨼋": [ + "ㄒㄩ1" + ], + "𨼌": [ + "ㄔㄣ1" + ], + "𨼍": [ + "ㄏㄠ2" + ], + "𨼎": [ + "ㄐㄩㄝ2" + ], + "𨼐": [ + "ㄔㄣ4" + ], + "𨼑": [ + "ㄔㄚ2" + ], + "𨼒": [ + "ㄔㄢ3" + ], + "𨼓": [ + "ㄓ2" + ], + "𨼔": [ + "ㄒㄩㄣ2" + ], + "𨼣": [ + "ㄍㄜ2" + ], + "𨼤": [ + "ㄔㄣ2" + ], + "𨼥": [ + "ㄧㄝ4", + "ㄍㄜ2" + ], + "𨼪": [ + "ㄔㄨ3" + ], + "𨼫": [ + "ㄑㄩ2" + ], + "𨼬": [ + "ㄒㄧㄝ4" + ], + "𨼮": [ + "ㄓㄢ4" + ], + "𨼯": [ + "ㄎㄣ3" + ], + "𨼱": [ + "ㄐㄩㄝ2" + ], + "𨼽": [ + "ㄑㄩ2" + ], + "𨼿": [ + "ㄇㄥ2" + ], + "𨽀": [ + "ㄧㄝ4" + ], + "𨽁": [ + "ㄗㄡ1", + "ㄘㄨㄥ2" + ], + "𨽂": [ + "ㄆㄨ2" + ], + "𨽄": [ + "ㄕ4" + ], + "𨽉": [ + "ㄕㄨ3" + ], + "𨽊": [ + "ㄔㄢ2" + ], + "𨽍": [ + "ㄉㄨ2" + ], + "𨽏": [ + "ㄍㄨㄛ1" + ], + "𨽐": [ + "ㄌㄨ4", + "ㄧㄤ2" + ], + "𨽑": [ + "ㄧㄢ1" + ], + "𨽖": [ + "ㄋㄧㄠ3" + ], + "𨽗": [ + "ㄅㄧㄣ1", + "ㄆㄧㄣ2" + ], + "𨽟": [ + "ㄊㄨㄟ2" + ], + "𨽦": [ + "ㄋㄧ4" + ], + "𨽧": [ + "ㄏㄨㄢ1" + ], + "𨽨": [ + "ㄑㄧㄢ2" + ], + "𨽯": [ + "ㄒㄧㄚ4" + ], + "𨽲": [ + "ㄌㄧㄥ2" + ], + "𨽷": [ + "ㄌㄧㄢ2" + ], + "𨽹": [ + "ㄧ4", + "ㄌㄧ4" + ], + "𨽻": [ + "ㄌㄧ4" + ], + "𨽼": [ + "ㄙ4" + ], + "𨽿": [ + "ㄉㄞ4" + ], + "𨾂": [ + "ㄨㄟ4" + ], + "𨾅": [ + "ㄘ4" + ], + "𨾉": [ + "ㄐㄧㄡ3" + ], + "𨾊": [ + "ㄏㄨㄥ2" + ], + "𨾌": [ + "ㄩ2" + ], + "𨾎": [ + "ㄎㄨㄟ2" + ], + "𨾒": [ + "ㄏㄤ2" + ], + "𨾓": [ + "ㄍㄜ1", + "ㄧ4" + ], + "𨾔": [ + "ㄈㄤ4" + ], + "𨾗": [ + "ㄎㄨㄟ2", + "ㄒㄧㄝ2" + ], + "𨾚": [ + "ㄍㄨㄟ1", + "ㄈㄨ1" + ], + "𨾛": [ + "ㄔ3", + "ㄑㄧ2" + ], + "𨾞": [ + "ㄐㄧㄡ3" + ], + "𨾡": [ + "ㄙㄨㄟ1", + "ㄏㄨㄤ3" + ], + "𨾤": [ + "ㄉㄧㄝ2" + ], + "𨾬": [ + "ㄙㄨㄟ3" + ], + "𨾰": [ + "ㄑㄧㄣ2" + ], + "𨾴": [ + "ㄍㄨㄟ1" + ], + "𨾻": [ + "ㄓㄨㄟ1" + ], + "𨾾": [ + "ㄊㄧㄠ4" + ], + "𨿁": [ + "ㄩㄝ4" + ], + "𨿇": [ + "ㄗㄨㄟ3" + ], + "𨿏": [ + "ㄨ2" + ], + "𨿐": [ + "ㄘㄨㄟ3" + ], + "𨿛": [ + "ㄓ4", + "ㄒㄧ1" + ], + "𨿠": [ + "ㄕㄨㄟ4" + ], + "𨿢": [ + "ㄉㄨㄥ1" + ], + "𨿭": [ + "ㄨㄟ2" + ], + "𨿿": [ + "ㄔㄨㄥ3" + ], + "𩀋": [ + "ㄖㄨㄣ2" + ], + "𩀖": [ + "ㄐㄧ2" + ], + "𩀜": [ + "ㄉㄧㄠ1" + ], + "𩀞": [ + "ㄘㄤ1" + ], + "𩀠": [ + "ㄎㄡ4", + "ㄍㄨ3" + ], + "𩀣": [ + "ㄨㄟ2" + ], + "𩀧": [ + "ㄘㄢ2" + ], + "𩀪": [ + "ㄇㄚ2" + ], + "𩀫": [ + "ㄡ4" + ], + "𩀲": [ + "ㄙㄢ3" + ], + "𩀶": [ + "ㄨㄟ2", + "ㄏㄨㄟ1", + "ㄇㄧ2" + ], + "𩀼": [ + "ㄙㄢ3" + ], + "𩀿": [ + "ㄐㄧㄣ1" + ], + "𩁌": [ + "ㄨㄟ2" + ], + "𩁞": [ + "ㄘㄞ4" + ], + "𩁟": [ + "ㄌㄧ2" + ], + "𩁯": [ + "ㄩㄝ4" + ], + "𩁴": [ + "ㄩㄣ1" + ], + "𩁷": [ + "ㄔㄥ1" + ], + "𩁺": [ + "ㄕㄢ1" + ], + "𩂂": [ + "ㄏㄨ1" + ], + "𩂃": [ + "ㄕㄞ4" + ], + "𩂄": [ + "ㄊㄨㄣ2" + ], + "𩂆": [ + "ㄈㄡ3", + "ㄈㄨ4" + ], + "𩂈": [ + "ㄑㄧㄣ4" + ], + "𩂉": [ + "ㄒㄩ1", + "ㄔㄣ1" + ], + "𩂍": [ + "ㄔㄨㄢ1" + ], + "𩂎": [ + "ㄈㄨ4" + ], + "𩂒": [ + "ㄧ4", + "ㄞ4" + ], + "𩂓": [ + "ㄉㄨㄥ1" + ], + "𩂔": [ + "ㄈㄨ2" + ], + "𩂕": [ + "ㄈㄨ2" + ], + "𩂖": [ + "ㄗㄜ2" + ], + "𩂗": [ + "ㄆㄨ4" + ], + "𩂙": [ + "ㄌㄧㄥ2" + ], + "𩂝": [ + "ㄕㄞ4", + "ㄧㄥ1" + ], + "𩂞": [ + "ㄆㄠ4" + ], + "𩂢": [ + "ㄧㄣ2", + "ㄞ2" + ], + "𩂣": [ + "ㄌㄨㄛ4" + ], + "𩂤": [ + "ㄏㄨㄚ4" + ], + "𩂥": [ + "ㄧㄣ4" + ], + "𩂦": [ + "ㄅㄥ4" + ], + "𩂧": [ + "ㄩ1" + ], + "𩂨": [ + "ㄕㄜ4" + ], + "𩂪": [ + "ㄒㄧㄝ4" + ], + "𩂫": [ + "ㄔㄨ3" + ], + "𩂴": [ + "ㄕㄜ4" + ], + "𩂵": [ + "ㄉㄧㄢ4" + ], + "𩂹": [ + "ㄧ4" + ], + "𩂻": [ + "ㄔㄜ4" + ], + "𩂼": [ + "ㄍㄥ3" + ], + "𩂽": [ + "ㄌㄨㄥ2" + ], + "𩂾": [ + "ㄆㄧㄥ2" + ], + "𩂿": [ + "ㄩㄣ3" + ], + "𩃀": [ + "ㄧㄢ4" + ], + "𩃁": [ + "ㄇㄛ4" + ], + "𩃃": [ + "ㄙㄨㄟ1" + ], + "𩃋": [ + "ㄐㄧㄥ4" + ], + "𩃍": [ + "ㄙㄨㄥ4" + ], + "𩃎": [ + "ㄆㄤ2" + ], + "𩃐": [ + "ㄧㄚ2" + ], + "𩃑": [ + "ㄙㄜ4" + ], + "𩃒": [ + "ㄉㄨㄛ3" + ], + "𩃕": [ + "ㄔㄨㄤ2" + ], + "𩃖": [ + "ㄒㄧㄝ4" + ], + "𩃘": [ + "ㄊㄨㄢ2" + ], + "𩃙": [ + "ㄍㄨㄥ1" + ], + "𩃚": [ + "ㄒㄩㄢ4" + ], + "𩃜": [ + "ㄌㄚ1" + ], + "𩃞": [ + "ㄌㄧㄥ2" + ], + "𩃠": [ + "ㄉㄞ4" + ], + "𩃡": [ + "ㄓㄚ2" + ], + "𩃬": [ + "ㄧㄣ1" + ], + "𩃭": [ + "ㄙㄨㄥ1" + ], + "𩃯": [ + "ㄩ3" + ], + "𩃰": [ + "ㄊㄨㄛ2" + ], + "𩃱": [ + "ㄊㄨㄛ2" + ], + "𩃴": [ + "ㄅㄚ4" + ], + "𩃵": [ + "ㄖㄢ3" + ], + "𩃶": [ + "ㄅㄛ2" + ], + "𩃷": [ + "ㄉㄞ4" + ], + "𩃹": [ + "ㄓㄚ2", + "ㄓㄚ3" + ], + "𩃺": [ + "ㄏㄡ2" + ], + "𩃾": [ + "ㄏㄨㄟ3" + ], + "𩄅": [ + "ㄌㄨ2" + ], + "𩄊": [ + "ㄌㄧㄥ4" + ], + "𩄋": [ + "ㄖㄨ2" + ], + "𩄕": [ + "ㄉㄢ4" + ], + "𩄖": [ + "ㄇㄥ2" + ], + "𩄗": [ + "ㄒㄧㄚ4" + ], + "𩄘": [ + "ㄨㄥ3" + ], + "𩄙": [ + "ㄏㄢ2" + ], + "𩄚": [ + "ㄗ1" + ], + "𩄛": [ + "ㄓㄣ4" + ], + "𩄜": [ + "ㄙㄜ4" + ], + "𩄝": [ + "ㄘㄨㄛ2" + ], + "𩄞": [ + "ㄌㄧ4" + ], + "𩄠": [ + "ㄉㄧㄢ1" + ], + "𩄡": [ + "ㄌㄧㄢ2" + ], + "𩄢": [ + "ㄍㄡ4" + ], + "𩄦": [ + "ㄆㄥ2" + ], + "𩄪": [ + "ㄧㄥ1" + ], + "𩄬": [ + "ㄏㄡ4" + ], + "𩄮": [ + "ㄉㄨㄟ4" + ], + "𩄯": [ + "ㄨ4" + ], + "𩄷": [ + "ㄆㄧㄠ4" + ], + "𩄸": [ + "ㄏㄜ4" + ], + "𩄺": [ + "ㄌㄨㄥ2" + ], + "𩄻": [ + "ㄇㄛ4" + ], + "𩄼": [ + "ㄈㄟ3" + ], + "𩄽": [ + "ㄌㄩ3" + ], + "𩄾": [ + "ㄗㄜ2" + ], + "𩄿": [ + "ㄅㄛ2" + ], + "𩅀": [ + "ㄉㄧㄢ4", + "ㄓ2" + ], + "𩅁": [ + "ㄇㄤ3" + ], + "𩅃": [ + "ㄓㄨㄤ4", + "ㄔㄨㄥ2" + ], + "𩅄": [ + "ㄌㄨ4" + ], + "𩅅": [ + "ㄆㄤ1" + ], + "𩅆": [ + "ㄉㄨㄟ4" + ], + "𩅇": [ + "ㄅㄨ4" + ], + "𩅌": [ + "ㄔㄣ1" + ], + "𩅍": [ + "ㄇㄢ4" + ], + "𩅖": [ + "ㄒㄧ1" + ], + "𩅝": [ + "ㄢ3" + ], + "𩅞": [ + "ㄓㄨㄥ1", + "ㄔㄨㄥ4" + ], + "𩅠": [ + "ㄋㄢ4" + ], + "𩅡": [ + "ㄊㄨㄛ4" + ], + "𩅢": [ + "ㄏㄜ2" + ], + "𩅥": [ + "ㄉㄨㄟ4" + ], + "𩅦": [ + "ㄨㄢ1", + "ㄉㄢ1" + ], + "𩅧": [ + "ㄓㄨㄥ1" + ], + "𩅨": [ + "ㄘㄣ2", + "ㄕㄣ4" + ], + "𩅩": [ + "ㄌㄧ4" + ], + "𩅪": [ + "ㄕㄨㄤ1" + ], + "𩅮": [ + "ㄘㄣ2" + ], + "𩅰": [ + "ㄙ1" + ], + "𩅲": [ + "ㄉㄨㄟ4" + ], + "𩅴": [ + "ㄏㄨㄣ1" + ], + "𩅼": [ + "ㄐㄧㄢ1", + "ㄐㄧㄢ4" + ], + "𩅽": [ + "ㄋㄨㄥ2" + ], + "𩅾": [ + "ㄉㄢ4" + ], + "𩅿": [ + "ㄈㄨ4" + ], + "𩆀": [ + "ㄏㄨㄛ4" + ], + "𩆁": [ + "ㄏㄨㄟ4", + "ㄨㄟ4" + ], + "𩆂": [ + "ㄘ2" + ], + "𩆄": [ + "ㄩㄥ3" + ], + "𩆅": [ + "ㄙㄚ4" + ], + "𩆆": [ + "ㄊㄧㄥ2" + ], + "𩆎": [ + "ㄌㄧㄡ4" + ], + "𩆑": [ + "ㄙㄨㄢ1" + ], + "𩆒": [ + "ㄌㄧㄥ2" + ], + "𩆓": [ + "ㄇㄢ2", + "ㄇㄢ4" + ], + "𩆔": [ + "ㄉㄧㄢ4" + ], + "𩆘": [ + "ㄆㄠ1" + ], + "𩆚": [ + "ㄌㄧㄥ2" + ], + "𩆝": [ + "ㄌㄧ4" + ], + "𩆟": [ + "ㄋㄡ2" + ], + "𩆣": [ + "ㄌㄧㄝ4" + ], + "𩆤": [ + "ㄕㄢ3" + ], + "𩆦": [ + "ㄈㄟ4" + ], + "𩆫": [ + "ㄕㄢ3" + ], + "𩆮": [ + "ㄌㄧㄥ2" + ], + "𩆯": [ + "ㄓㄢ4", + "ㄐㄧㄢ1" + ], + "𩆱": [ + "ㄅㄧㄣ1" + ], + "𩆲": [ + "ㄌㄧ2" + ], + "𩆵": [ + "ㄙ1", + "ㄒㄧㄢ4" + ], + "𩆶": [ + "ㄖㄤ2" + ], + "𩆷": [ + "ㄐㄧㄢ1" + ], + "𩆸": [ + "ㄓㄨㄛ2" + ], + "𩆻": [ + "ㄌㄧㄥ2" + ], + "𩆼": [ + "ㄌㄧㄥ2" + ], + "𩆽": [ + "ㄇㄥ4" + ], + "𩆿": [ + "ㄕㄨㄤ1" + ], + "𩇄": [ + "ㄌㄧㄥ2" + ], + "𩇇": [ + "ㄏㄨㄣ4" + ], + "𩇎": [ + "ㄌㄧㄥ2" + ], + "𩇏": [ + "ㄐㄧㄢ1" + ], + "𩇐": [ + "ㄑㄩ2" + ], + "𩇔": [ + "ㄋㄨㄥ2" + ], + "𩇕": [ + "ㄐㄧㄥ4" + ], + "𩇖": [ + "ㄔㄣ1" + ], + "𩇜": [ + "ㄓㄣ1", + "ㄔㄥ4", + "ㄔㄥ1" + ], + "𩇝": [ + "ㄑㄧㄥ4" + ], + "𩇟": [ + "ㄑㄧㄥ4" + ], + "𩇠": [ + "ㄜ4", + "ㄧㄢ3" + ], + "𩇣": [ + "ㄙㄜ4" + ], + "𩇩": [ + "ㄅㄟ4" + ], + "𩇫": [ + "ㄈㄟ1" + ], + "𩇮": [ + "ㄈㄟ4" + ], + "𩇯": [ + "ㄈㄟ2" + ], + "𩇴": [ + "ㄈㄤ1" + ], + "𩇵": [ + "ㄎㄨ3" + ], + "𩇺": [ + "ㄗㄚ2" + ], + "𩇻": [ + "ㄏㄨㄟ4" + ], + "𩇽": [ + "ㄈㄟ2" + ], + "𩈁": [ + "ㄉㄨㄟ4" + ], + "𩈆": [ + "ㄆㄚ1" + ], + "𩈇": [ + "ㄋㄧㄡ3" + ], + "𩈈": [ + "ㄆㄤ4" + ], + "𩈉": [ + "ㄉㄢ4" + ], + "𩈊": [ + "ㄉㄢ1", + "ㄉㄢ4" + ], + "𩈋": [ + "ㄞ4" + ], + "𩈍": [ + "ㄊㄧㄢ3" + ], + "𩈎": [ + "ㄔㄠ3" + ], + "𩈏": [ + "ㄠ3", + "ㄧㄡ3" + ], + "𩈐": [ + "ㄇㄟ4" + ], + "𩈑": [ + "ㄋㄢ3" + ], + "𩈔": [ + "ㄅㄛ4" + ], + "𩈕": [ + "ㄩ4", + "ㄔ4" + ], + "𩈖": [ + "ㄒㄧㄢ1", + "ㄏㄢ1" + ], + "𩈗": [ + "ㄇㄞ4" + ], + "𩈚": [ + "ㄆㄧㄥ1" + ], + "𩈜": [ + "ㄉㄨㄟ1" + ], + "𩈞": [ + "ㄉㄠ4" + ], + "𩈡": [ + "ㄒㄧㄥ4" + ], + "𩈢": [ + "ㄋㄧ4", + "ㄋㄩ4" + ], + "𩈣": [ + "ㄏㄢ1" + ], + "𩈤": [ + "ㄔㄨ4" + ], + "𩈥": [ + "ㄕㄨㄚ3" + ], + "𩈦": [ + "ㄇㄢ3" + ], + "𩈬": [ + "ㄨㄢ4" + ], + "𩈭": [ + "ㄧ4" + ], + "𩈮": [ + "ㄉㄧㄠ4" + ], + "𩈯": [ + "ㄧㄢ1" + ], + "𩈱": [ + "ㄨㄛ4" + ], + "𩈲": [ + "ㄙㄨㄢ4" + ], + "𩈴": [ + "ㄢ3" + ], + "𩈵": [ + "ㄌㄢ2" + ], + "𩈶": [ + "ㄋㄢ3" + ], + "𩈸": [ + "ㄑㄧㄡ3" + ], + "𩈹": [ + "ㄇㄧㄢ4" + ], + "𩈺": [ + "ㄋㄨㄛ3" + ], + "𩈻": [ + "ㄘㄢ2" + ], + "𩈼": [ + "ㄘㄢ3" + ], + "𩉀": [ + "ㄌㄢ4" + ], + "𩉁": [ + "ㄊㄧㄢ3" + ], + "𩉂": [ + "ㄧㄝ4" + ], + "𩉄": [ + "ㄋㄧㄢ3" + ], + "𩉆": [ + "ㄕㄨㄚ3" + ], + "𩉋": [ + "ㄘ2" + ], + "𩉍": [ + "ㄐㄧㄢ3" + ], + "𩉐": [ + "ㄍㄢ4" + ], + "𩉔": [ + "ㄐㄧㄢ4" + ], + "𩉕": [ + "ㄍㄨㄛ2" + ], + "𩉗": [ + "ㄓㄢ1" + ], + "𩉙": [ + "ㄌㄨㄛ3" + ], + "𩉜": [ + "ㄐㄧ1", + "ㄏㄤ4" + ], + "𩉝": [ + "ㄍㄨㄟ4" + ], + "𩉡": [ + "ㄐㄧㄚ2" + ], + "𩉢": [ + "ㄐㄧ3" + ], + "𩉥": [ + "ㄒㄩㄢ4" + ], + "𩉧": [ + "ㄈㄥ1" + ], + "𩉫": [ + "ㄅㄧ4" + ], + "𩉬": [ + "ㄑㄧ2", + "ㄔ2" + ], + "𩉯": [ + "ㄩㄢ2" + ], + "𩉰": [ + "ㄤ4" + ], + "𩉱": [ + "ㄉㄧ1" + ], + "𩉴": [ + "ㄜ4" + ], + "𩉵": [ + "ㄈㄣ2" + ], + "𩉸": [ + "ㄐㄩ4" + ], + "𩉹": [ + "ㄋㄧ3" + ], + "𩉺": [ + "ㄊㄨㄛ2" + ], + "𩉼": [ + "ㄕㄣ1" + ], + "𩉽": [ + "ㄈㄨ2" + ], + "𩉾": [ + "ㄒㄧㄚ2" + ], + "𩉿": [ + "ㄑㄩ2" + ], + "𩊀": [ + "ㄆㄛ4" + ], + "𩊁": [ + "ㄨㄢ3" + ], + "𩊂": [ + "ㄌㄧㄥ2" + ], + "𩊃": [ + "ㄇㄚ4" + ], + "𩊄": [ + "ㄓㄡ4" + ], + "𩊅": [ + "ㄅㄠ4" + ], + "𩊇": [ + "ㄩ4" + ], + "𩊌": [ + "ㄅㄥ3" + ], + "𩊍": [ + "ㄇㄞ4" + ], + "𩊏": [ + "ㄐㄧㄚ1" + ], + "𩊑": [ + "ㄧㄤ3" + ], + "𩊓": [ + "ㄎㄨㄚ3", + "ㄎㄨ4" + ], + "𩊔": [ + "ㄐㄧㄠ4" + ], + "𩊖": [ + "ㄅㄧㄥ3" + ], + "𩊚": [ + "ㄌㄨㄛ4" + ], + "𩊛": [ + "ㄍㄨㄟ3" + ], + "𩊜": [ + "ㄉㄨㄛ4" + ], + "𩊝": [ + "ㄓ4" + ], + "𩊡": [ + "ㄓㄣ4" + ], + "𩊢": [ + "ㄜ4" + ], + "𩊣": [ + "ㄓㄨ1" + ], + "𩊤": [ + "ㄅㄚ2" + ], + "𩊨": [ + "ㄓㄣ4" + ], + "𩊩": [ + "ㄈㄥ1", + "ㄈㄥ2" + ], + "𩊪": [ + "ㄉㄡ4" + ], + "𩊫": [ + "ㄋㄧㄢ3" + ], + "𩊬": [ + "ㄅㄨ4" + ], + "𩊭": [ + "ㄉㄨㄟ4" + ], + "𩊮": [ + "ㄕㄚ1", + "ㄙㄨㄛ1" + ], + "𩊯": [ + "ㄙㄜ4" + ], + "𩊰": [ + "ㄅㄧ4" + ], + "𩊴": [ + "ㄓ4" + ], + "𩊵": [ + "ㄓㄜ2" + ], + "𩊶": [ + "ㄅㄨ4" + ], + "𩊺": [ + "ㄐㄩㄝ2" + ], + "𩊻": [ + "ㄒㄩㄣ4" + ], + "𩊿": [ + "ㄒㄧ4" + ], + "𩋁": [ + "ㄓㄨㄛ2" + ], + "𩋂": [ + "ㄅㄞ4" + ], + "𩋃": [ + "ㄧㄠ2", + "ㄊㄠ2" + ], + "𩋄": [ + "ㄔㄡ3" + ], + "𩋅": [ + "ㄊㄚ4" + ], + "𩋆": [ + "ㄑㄧㄢ1" + ], + "𩋈": [ + "ㄋㄠ4" + ], + "𩋉": [ + "ㄩ4" + ], + "𩋊": [ + "ㄜ4" + ], + "𩋋": [ + "ㄐㄧㄢ1" + ], + "𩋌": [ + "ㄧ4" + ], + "𩋍": [ + "ㄒㄧㄠ1" + ], + "𩋏": [ + "ㄋㄧㄝ4" + ], + "𩋒": [ + "ㄅㄧㄥ1" + ], + "𩋗": [ + "ㄍㄨㄛ3" + ], + "𩋘": [ + "ㄒㄧㄝ2" + ], + "𩋙": [ + "ㄉㄧㄠ4" + ], + "𩋜": [ + "ㄐㄩ1" + ], + "𩋝": [ + "ㄙㄨㄛ3" + ], + "𩋞": [ + "ㄉㄧㄝ2" + ], + "𩋟": [ + "ㄈㄨ2", + "ㄈㄨ4" + ], + "𩋠": [ + "ㄇㄧㄢ3" + ], + "𩋡": [ + "ㄕ4" + ], + "𩋢": [ + "ㄒㄩㄢ4", + "ㄩㄣ4" + ], + "𩋣": [ + "ㄊㄧ2" + ], + "𩋤": [ + "ㄩ4" + ], + "𩋧": [ + "ㄒㄧㄝ2", + "ㄎㄞ4" + ], + "𩋨": [ + "ㄈㄨ2" + ], + "𩋩": [ + "ㄓ4" + ], + "𩋪": [ + "ㄋㄧ3" + ], + "𩋫": [ + "ㄒㄩㄢ4" + ], + "𩋬": [ + "ㄧㄤ2" + ], + "𩋮": [ + "ㄈㄥ3", + "ㄅㄤ1" + ], + "𩋯": [ + "ㄗㄨㄥ4" + ], + "𩋰": [ + "ㄓㄡ4" + ], + "𩋱": [ + "ㄒㄩㄢ1" + ], + "𩋵": [ + "ㄓㄨ1" + ], + "𩋷": [ + "ㄌㄚ5" + ], + "𩋹": [ + "ㄧㄥ4" + ], + "𩋺": [ + "ㄍㄠ4" + ], + "𩋻": [ + "ㄎㄨㄛ4" + ], + "𩋽": [ + "ㄜ2" + ], + "𩋾": [ + "ㄨㄟ2", + "ㄨㄟ3", + "ㄒㄩㄝ1" + ], + "𩋿": [ + "ㄇㄟ2" + ], + "𩌃": [ + "ㄏㄨㄞ2", + "ㄍㄨㄟ4" + ], + "𩌄": [ + "ㄔㄡ3", + "ㄓㄡ1" + ], + "𩌆": [ + "ㄙㄨㄛ3" + ], + "𩌇": [ + "ㄊㄚ4" + ], + "𩌈": [ + "ㄙㄨㄛ3" + ], + "𩌉": [ + "ㄊㄚ4" + ], + "𩌊": [ + "ㄒㄩㄝ4" + ], + "𩌌": [ + "ㄍㄨㄥ3" + ], + "𩌍": [ + "ㄐㄧㄚ3" + ], + "𩌏": [ + "ㄅㄛ2", + "ㄈㄨ2", + "ㄅㄨ4", + "ㄈㄨ4" + ], + "𩌐": [ + "ㄊㄚ4" + ], + "𩌑": [ + "ㄩㄢ3" + ], + "𩌘": [ + "ㄊㄚ4" + ], + "𩌝": [ + "ㄔㄨㄟ2" + ], + "𩌠": [ + "ㄒㄩㄥ1" + ], + "𩌡": [ + "ㄏㄜ2", + "ㄐㄩㄝ1" + ], + "𩌢": [ + "ㄙㄨㄛ1" + ], + "𩌧": [ + "ㄇㄛ4" + ], + "𩌨": [ + "ㄔㄨㄥ2" + ], + "𩌩": [ + "ㄙㄨㄟ1" + ], + "𩌪": [ + "ㄗㄜ2" + ], + "𩌫": [ + "ㄌㄨ4" + ], + "𩌬": [ + "ㄓㄤ1" + ], + "𩌭": [ + "ㄌㄨㄛ4" + ], + "𩌮": [ + "ㄒㄩ4" + ], + "𩌯": [ + "ㄐㄧㄢ1" + ], + "𩌰": [ + "ㄕㄢ1" + ], + "𩌲": [ + "ㄒㄩ4" + ], + "𩌾": [ + "ㄐㄧㄤ3" + ], + "𩍂": [ + "ㄅㄠ4" + ], + "𩍃": [ + "ㄇㄞ2" + ], + "𩍅": [ + "ㄊㄨㄥ2" + ], + "𩍆": [ + "ㄒㄧ4" + ], + "𩍉": [ + "ㄖㄨㄥ2" + ], + "𩍋": [ + "ㄕㄥ2" + ], + "𩍌": [ + "ㄓㄡ4" + ], + "𩍎": [ + "ㄐㄧㄢ1" + ], + "𩍏": [ + "ㄈㄨ4" + ], + "𩍐": [ + "ㄉㄥ4" + ], + "𩍓": [ + "ㄩㄥ1" + ], + "𩍔": [ + "ㄐㄩ1", + "ㄑㄩ1" + ], + "𩍖": [ + "ㄧ4" + ], + "𩍗": [ + "ㄅㄤ1" + ], + "𩍙": [ + "ㄙㄜ4" + ], + "𩍚": [ + "ㄙㄨㄟ4" + ], + "𩍜": [ + "ㄉㄨㄛ2" + ], + "𩍝": [ + "ㄒㄧㄝ4" + ], + "𩍡": [ + "ㄏㄨㄢ2" + ], + "𩍥": [ + "ㄖㄨ3" + ], + "𩍦": [ + "ㄋㄧ3" + ], + "𩍧": [ + "ㄓㄡ4" + ], + "𩍨": [ + "ㄍㄨㄟ4" + ], + "𩍪": [ + "ㄌㄨㄛ4" + ], + "𩍲": [ + "ㄓ1", + "ㄔㄢ4" + ], + "𩍳": [ + "ㄒㄩ4" + ], + "𩍵": [ + "ㄓ1" + ], + "𩍷": [ + "ㄐㄩㄝ2" + ], + "𩍸": [ + "ㄐㄩ1" + ], + "𩍻": [ + "ㄩㄢ2" + ], + "𩍼": [ + "ㄌㄨ2" + ], + "𩍿": [ + "ㄅㄛ2", + "ㄈㄨ4" + ], + "𩎂": [ + "ㄖㄨㄥ2" + ], + "𩎃": [ + "ㄒㄧㄝ4" + ], + "𩎉": [ + "ㄒㄧ3" + ], + "𩎊": [ + "ㄌㄨㄛ2" + ], + "𩎎": [ + "ㄍㄜ2" + ], + "𩎑": [ + "ㄗㄨㄢ1" + ], + "𩎒": [ + "ㄏㄢ4", + "ㄐㄧㄢ1" + ], + "𩎔": [ + "ㄐㄧㄠ1" + ], + "𩎕": [ + "ㄙㄚ3" + ], + "𩎖": [ + "ㄑㄧㄣ2", + "ㄑㄧㄢ2" + ], + "𩎗": [ + "ㄑㄩㄣ1" + ], + "𩎘": [ + "ㄆㄠ2" + ], + "𩎙": [ + "ㄩㄝ4" + ], + "𩎚": [ + "ㄔㄜ4" + ], + "𩎛": [ + "ㄈㄨ2" + ], + "𩎜": [ + "ㄆㄟ1" + ], + "𩎟": [ + "ㄇㄟ4", + "ㄇㄛ4", + "ㄨㄚ4" + ], + "𩎢": [ + "ㄊㄠ1" + ], + "𩎤": [ + "ㄎㄣ1" + ], + "𩎥": [ + "ㄒㄧ4" + ], + "𩎫": [ + "ㄉㄨㄛ4" + ], + "𩎭": [ + "ㄧ4" + ], + "𩎰": [ + "ㄙㄨㄟ4" + ], + "𩎲": [ + "ㄒㄧㄚ2" + ], + "𩎳": [ + "ㄐㄩㄢ1" + ], + "𩎵": [ + "ㄨㄟ2" + ], + "𩎷": [ + "ㄧ4" + ], + "𩎹": [ + "ㄩ4" + ], + "𩎻": [ + "ㄅㄞ4" + ], + "𩎼": [ + "ㄊㄨㄛ2" + ], + "𩎽": [ + "ㄊㄚ4" + ], + "𩎾": [ + "ㄆㄠ2" + ], + "𩏂": [ + "ㄅㄧㄥ3", + "ㄅㄧ4" + ], + "𩏅": [ + "ㄩㄣ4" + ], + "𩏆": [ + "ㄩㄣ4" + ], + "𩏇": [ + "ㄉㄨㄢ4" + ], + "𩏈": [ + "ㄖㄨㄢ3" + ], + "𩏉": [ + "ㄨㄟ2" + ], + "𩏏": [ + "ㄨㄟ2" + ], + "𩏐": [ + "ㄍㄨㄟ4", + "ㄨㄟ3" + ], + "𩏒": [ + "ㄉㄚ2" + ], + "𩏓": [ + "ㄒㄧㄚ2" + ], + "𩏖": [ + "ㄏㄨㄣ4" + ], + "𩏗": [ + "ㄐㄩㄢ3" + ], + "𩏘": [ + "ㄙㄨㄟ1" + ], + "𩏚": [ + "ㄙㄨㄟ4" + ], + "𩏝": [ + "ㄌㄡ2" + ], + "𩏞": [ + "ㄅㄞ4" + ], + "𩏟": [ + "ㄩ4" + ], + "𩏠": [ + "ㄓㄥ4" + ], + "𩏡": [ + "ㄍㄨㄟ4" + ], + "𩏣": [ + "ㄎㄨㄟ1" + ], + "𩏤": [ + "ㄍㄠ1" + ], + "𩏥": [ + "ㄉㄢ1" + ], + "𩏩": [ + "ㄒㄧㄢ3" + ], + "𩏪": [ + "ㄓㄞ2" + ], + "𩏫": [ + "ㄙㄜ4" + ], + "𩏭": [ + "ㄎㄜ1" + ], + "𩏮": [ + "ㄅㄨ3" + ], + "𩏯": [ + "ㄅㄛ2" + ], + "𩏲": [ + "ㄙㄨㄟ4" + ], + "𩏴": [ + "ㄩ4" + ], + "𩏵": [ + "ㄅㄨ3", + "ㄅㄨ4" + ], + "𩏶": [ + "ㄐㄧㄡ1" + ], + "𩏷": [ + "ㄐㄧㄡ1", + "ㄐㄧㄠ4" + ], + "𩏹": [ + "ㄐㄩㄢ4" + ], + "𩏺": [ + "ㄐㄩㄝ2" + ], + "𩏼": [ + "ㄋㄚ4" + ], + "𩏽": [ + "ㄓㄞ2" + ], + "𩏾": [ + "ㄊㄠ1" + ], + "𩏿": [ + "ㄨㄟ3" + ], + "𩐀": [ + "ㄒㄧㄚ2" + ], + "𩐁": [ + "ㄒㄧㄝ4" + ], + "𩐅": [ + "ㄙㄚ4" + ], + "𩐆": [ + "ㄐㄧ1" + ], + "𩐉": [ + "ㄒㄧㄝ4" + ], + "𩐌": [ + "ㄉㄨㄟ4" + ], + "𩐍": [ + "ㄗ3" + ], + "𩐘": [ + "ㄩㄢ3" + ], + "𩐙": [ + "ㄑㄧㄣ4" + ], + "𩐚": [ + "ㄈㄨ2" + ], + "𩐛": [ + "ㄆㄥ2" + ], + "𩐜": [ + "ㄆㄠ2" + ], + "𩐞": [ + "ㄧㄣ4" + ], + "𩐠": [ + "ㄏㄨㄥ1" + ], + "𩐡": [ + "ㄗㄨ2" + ], + "𩐣": [ + "ㄍㄨㄥ1" + ], + "𩐤": [ + "ㄉㄨㄥ4" + ], + "𩐥": [ + "ㄏㄜ1" + ], + "𩐦": [ + "ㄨㄛ4" + ], + "𩐨": [ + "ㄆㄤ1" + ], + "𩐫": [ + "ㄙㄨ4" + ], + "𩐬": [ + "ㄎㄢ3" + ], + "𩐭": [ + "ㄋㄧㄝ4" + ], + "𩐮": [ + "ㄏㄠ2" + ], + "𩐯": [ + "ㄈㄥ4" + ], + "𩐰": [ + "ㄜ4" + ], + "𩐱": [ + "ㄧㄝ4" + ], + "𩐴": [ + "ㄊㄧㄥ2" + ], + "𩐵": [ + "ㄉㄨㄥ4" + ], + "𩐶": [ + "ㄓㄜ2" + ], + "𩐷": [ + "ㄙㄤ1" + ], + "𩐻": [ + "ㄇㄛ4" + ], + "𩐼": [ + "ㄙㄨ4" + ], + "𩐾": [ + "ㄌㄜ4" + ], + "𩑀": [ + "ㄆㄨ3" + ], + "𩑁": [ + "ㄜ2" + ], + "𩑂": [ + "ㄓㄨㄛ2" + ], + "𩑃": [ + "ㄧㄝ4" + ], + "𩑇": [ + "ㄒㄧㄤ1" + ], + "𩑈": [ + "ㄍㄨㄤ4" + ], + "𩑉": [ + "ㄖㄣ3" + ], + "𩑊": [ + "ㄌㄧㄥ2" + ], + "𩑍": [ + "ㄠ4" + ], + "𩑐": [ + "ㄔㄞ1" + ], + "𩑒": [ + "ㄉㄨㄛ2" + ], + "𩑓": [ + "ㄑㄩㄥ2" + ], + "𩑔": [ + "ㄎㄨ1", + "ㄧㄚ4" + ], + "𩑕": [ + "ㄒㄩ1" + ], + "𩑖": [ + "ㄏㄨㄢ2" + ], + "𩑗": [ + "ㄧㄠ1" + ], + "𩑘": [ + "ㄓㄣ4" + ], + "𩑙": [ + "ㄊㄧㄥ3" + ], + "𩑚": [ + "ㄅㄥ3", + "ㄌㄟ4" + ], + "𩑝": [ + "ㄤ2" + ], + "𩑟": [ + "ㄎㄢ1", + "ㄑㄧㄢ1" + ], + "𩑡": [ + "ㄎㄨ1", + "ㄍㄣ3" + ], + "𩑢": [ + "ㄆㄟ2", + "ㄅㄞ1" + ], + "𩑣": [ + "ㄧㄡ4" + ], + "𩑤": [ + "ㄠ3" + ], + "𩑥": [ + "ㄇㄣ2" + ], + "𩑦": [ + "ㄇㄛ4" + ], + "𩑬": [ + "ㄈㄨ3", + "ㄍㄨㄟ1" + ], + "𩑭": [ + "ㄑㄧㄥ1" + ], + "𩑮": [ + "ㄌㄚ4" + ], + "𩑯": [ + "ㄉㄡ3" + ], + "𩑰": [ + "ㄊㄢ3" + ], + "𩑳": [ + "ㄑㄧㄢ3" + ], + "𩑴": [ + "ㄧㄠ4" + ], + "𩑵": [ + "ㄨㄟ4" + ], + "𩑶": [ + "ㄏㄨ2", + "ㄎㄨ1" + ], + "𩑷": [ + "ㄇㄛ4" + ], + "𩑸": [ + "ㄏㄜ1" + ], + "𩑹": [ + "ㄒㄩㄢ4" + ], + "𩑻": [ + "ㄅㄧ4", + "ㄆㄛ2" + ], + "𩑼": [ + "ㄆㄛ1" + ], + "𩑾": [ + "ㄉㄧ1" + ], + "𩒀": [ + "ㄓㄣ3" + ], + "𩒂": [ + "ㄕ1" + ], + "𩒃": [ + "ㄎㄢ3" + ], + "𩒄": [ + "ㄘㄜ4" + ], + "𩒇": [ + "ㄒㄩ1" + ], + "𩒈": [ + "ㄓㄣ3" + ], + "𩒊": [ + "ㄓㄨ3" + ], + "𩒏": [ + "ㄏㄨㄟ4" + ], + "𩒐": [ + "ㄔ3" + ], + "𩒓": [ + "ㄏㄨㄥ3" + ], + "𩒔": [ + "ㄋㄡ2" + ], + "𩒕": [ + "ㄋㄧㄝ4", + "ㄆㄛ4", + "ㄜ4" + ], + "𩒖": [ + "ㄧㄢ4" + ], + "𩒘": [ + "ㄔㄨㄥ3" + ], + "𩒙": [ + "ㄈㄨ3", + "ㄍㄨㄟ4" + ], + "𩒚": [ + "ㄍㄨㄤ1" + ], + "𩒛": [ + "ㄑㄧ1" + ], + "𩒝": [ + "ㄍㄣ3" + ], + "𩒞": [ + "ㄊㄧㄥ3" + ], + "𩒢": [ + "ㄊㄢ3" + ], + "𩒣": [ + "ㄑㄧㄢ3" + ], + "𩒦": [ + "ㄐㄧㄡ4", + "ㄒㄧㄣ4" + ], + "𩒧": [ + "ㄒㄩ1" + ], + "𩒨": [ + "ㄑㄧ3" + ], + "𩒪": [ + "ㄓㄣ4" + ], + "𩒮": [ + "ㄑㄧㄡ2" + ], + "𩒰": [ + "ㄜ3" + ], + "𩒳": [ + "ㄏㄨㄟ4" + ], + "𩒴": [ + "ㄏㄨㄥ4" + ], + "𩒵": [ + "ㄑㄧㄥ3" + ], + "𩒷": [ + "ㄔㄜ1", + "ㄖㄨㄥ3" + ], + "𩒺": [ + "ㄈㄨ4" + ], + "𩒼": [ + "ㄏㄨㄥ1" + ], + "𩒽": [ + "ㄒㄧ1" + ], + "𩒾": [ + "ㄨ2" + ], + "𩒿": [ + "ㄇㄤ2" + ], + "𩓂": [ + "ㄊㄧ1" + ], + "𩓅": [ + "ㄏㄨㄥ1" + ], + "𩓐": [ + "ㄅㄛ2" + ], + "𩓒": [ + "ㄑㄧㄣ3" + ], + "𩓓": [ + "ㄍㄣ3" + ], + "𩓖": [ + "ㄈㄨ2" + ], + "𩓗": [ + "ㄎㄨㄟ3" + ], + "𩓝": [ + "ㄅㄧㄝ2" + ], + "𩓞": [ + "ㄐㄧㄥ4" + ], + "𩓟": [ + "ㄎㄢ3" + ], + "𩓠": [ + "ㄍㄨㄟ1" + ], + "𩓢": [ + "ㄍㄠ3" + ], + "𩓣": [ + "ㄒㄩ1" + ], + "𩓤": [ + "ㄢ4" + ], + "𩓥": [ + "ㄩㄝ4" + ], + "𩓦": [ + "ㄨ4" + ], + "𩓧": [ + "ㄧ2" + ], + "𩓨": [ + "ㄐㄧㄥ1" + ], + "𩓪": [ + "ㄌㄨ4" + ], + "𩓫": [ + "ㄑㄩㄢ2" + ], + "𩓬": [ + "ㄊㄨㄟ2" + ], + "𩓮": [ + "ㄐㄧ4" + ], + "𩓺": [ + "ㄐㄩㄥ3" + ], + "𩓻": [ + "ㄐㄩㄝ2" + ], + "𩓼": [ + "ㄆㄧㄝ1" + ], + "𩓽": [ + "ㄎㄨㄣ1" + ], + "𩔀": [ + "ㄨㄞ4" + ], + "𩔁": [ + "ㄏㄨㄟ4" + ], + "𩔂": [ + "ㄉㄨㄣ4" + ], + "𩔃": [ + "ㄩㄢ3" + ], + "𩔄": [ + "ㄐㄧㄝ2" + ], + "𩔆": [ + "ㄍㄨㄟ4" + ], + "𩔇": [ + "ㄍㄠ3" + ], + "𩔈": [ + "ㄆㄛ4" + ], + "𩔉": [ + "ㄇㄣ2", + "ㄇㄧㄣ2", + "ㄏㄨㄣ1" + ], + "𩔊": [ + "ㄓㄨㄢ4" + ], + "𩔋": [ + "ㄏㄤ4" + ], + "𩔔": [ + "ㄩㄥ2" + ], + "𩔕": [ + "ㄑㄧㄡ2" + ], + "𩔗": [ + "ㄌㄟ4" + ], + "𩔘": [ + "ㄤ2" + ], + "𩔙": [ + "ㄆㄧ3", + "ㄒㄧㄣ4" + ], + "𩔚": [ + "ㄨㄥ1", + "ㄨㄥ3" + ], + "𩔝": [ + "ㄑㄧㄣ4" + ], + "𩔟": [ + "ㄑㄧㄣ3" + ], + "𩔠": [ + "ㄇㄧㄝ4" + ], + "𩔡": [ + "ㄉㄡ1" + ], + "𩔢": [ + "ㄇㄧ2" + ], + "𩔣": [ + "ㄓㄢ1" + ], + "𩔥": [ + "ㄑㄧㄥ3" + ], + "𩔦": [ + "ㄧ2" + ], + "𩔮": [ + "ㄅㄢ1" + ], + "𩔱": [ + "ㄐㄩㄢ1" + ], + "𩔳": [ + "ㄗㄜ2" + ], + "𩔴": [ + "ㄒㄩ4" + ], + "𩔵": [ + "ㄌㄢ2" + ], + "𩔶": [ + "ㄇㄚ2" + ], + "𩔷": [ + "ㄇㄚ2" + ], + "𩔸": [ + "ㄡ1" + ], + "𩔹": [ + "ㄅㄟ1" + ], + "𩔻": [ + "ㄆㄡ2" + ], + "𩔼": [ + "ㄒㄩ4" + ], + "𩕀": [ + "ㄠ4" + ], + "𩕆": [ + "ㄏㄨㄥ3" + ], + "𩕉": [ + "ㄏㄨㄥ3" + ], + "𩕊": [ + "ㄓㄢ3" + ], + "𩕌": [ + "ㄙㄣ3" + ], + "𩕍": [ + "ㄍㄠ3", + "ㄏㄠ2" + ], + "𩕏": [ + "ㄆㄛ2", + "ㄈㄢ2" + ], + "𩕐": [ + "ㄌㄧㄠ4" + ], + "𩕕": [ + "ㄨㄞ4" + ], + "𩕖": [ + "ㄒㄩㄢ1" + ], + "𩕜": [ + "ㄎㄨㄟ2" + ], + "𩕟": [ + "ㄜ4" + ], + "𩕠": [ + "ㄏㄢ4" + ], + "𩕡": [ + "ㄙㄜ4" + ], + "𩕤": [ + "ㄉㄢ4" + ], + "𩕪": [ + "ㄒㄩㄢ1" + ], + "𩕬": [ + "ㄜ4" + ], + "𩕭": [ + "ㄍㄞ4" + ], + "𩕯": [ + "ㄉㄠ1" + ], + "𩕱": [ + "ㄇㄥ3" + ], + "𩕲": [ + "ㄧ1" + ], + "𩕳": [ + "ㄋㄧㄥ3" + ], + "𩕵": [ + "ㄆㄧㄣ2" + ], + "𩕹": [ + "ㄘㄤ1" + ], + "𩕾": [ + "ㄩㄢ4" + ], + "𩖀": [ + "ㄜ4" + ], + "𩖁": [ + "ㄋㄧㄝ4", + "ㄧㄚ2" + ], + "𩖄": [ + "ㄧㄣ3" + ], + "𩖇": [ + "ㄑㄧㄠ1" + ], + "𩖉": [ + "ㄏㄨㄥ1" + ], + "𩖊": [ + "ㄌㄧㄥ2" + ], + "𩖌": [ + "ㄔㄢ1" + ], + "𩖍": [ + "ㄧㄥ3" + ], + "𩖒": [ + "ㄍㄨㄢ1" + ], + "𩖔": [ + "ㄋㄧㄠ3" + ], + "𩖕": [ + "ㄒㄩ1" + ], + "𩖖": [ + "ㄊㄢ2" + ], + "𩖗": [ + "ㄐㄧㄣ4" + ], + "𩖛": [ + "ㄆㄥ2" + ], + "𩖝": [ + "ㄌㄧㄠ2" + ], + "𩖠": [ + "ㄅㄟ4" + ], + "𩖣": [ + "ㄒㄧㄣ2", + "ㄅㄚ2" + ], + "𩖤": [ + "ㄊㄨㄣ2" + ], + "𩖥": [ + "ㄔㄠ1" + ], + "𩖦": [ + "ㄍㄢ1" + ], + "𩖨": [ + "ㄏㄨ1" + ], + "𩖩": [ + "ㄨㄤ3" + ], + "𩖬": [ + "ㄈㄨ2" + ], + "𩖭": [ + "ㄆㄟ4" + ], + "𩖯": [ + "ㄋㄠ2" + ], + "𩖰": [ + "ㄒㄩㄣ2", + "ㄒㄧㄣ2" + ], + "𩖱": [ + "ㄒㄩㄝ4" + ], + "𩖴": [ + "ㄌㄧㄡ3" + ], + "𩖵": [ + "ㄌㄧㄥ2" + ], + "𩖶": [ + "ㄒㄩㄝ4" + ], + "𩖷": [ + "ㄑㄩ1" + ], + "𩖸": [ + "ㄏㄠ2" + ], + "𩖹": [ + "ㄧ2" + ], + "𩖺": [ + "ㄏㄢ4" + ], + "𩖼": [ + "ㄈㄨ2" + ], + "𩖽": [ + "ㄅㄚ2" + ], + "𩖾": [ + "ㄧ2" + ], + "𩗀": [ + "ㄅㄛ2" + ], + "𩗄": [ + "ㄏㄨㄥ1" + ], + "𩗅": [ + "ㄌㄧ4" + ], + "𩗉": [ + "ㄙㄚ4" + ], + "𩗊": [ + "ㄒㄧ1" + ], + "𩗎": [ + "ㄕ4" + ], + "𩗏": [ + "ㄆㄧㄠ1" + ], + "𩗐": [ + "ㄏㄨㄚ4" + ], + "𩗑": [ + "ㄧ2" + ], + "𩗒": [ + "ㄅㄛ2" + ], + "𩗓": [ + "ㄅㄛ2" + ], + "𩗔": [ + "ㄋㄟ3" + ], + "𩗕": [ + "ㄑㄧㄡ2" + ], + "𩗘": [ + "ㄨㄟ3" + ], + "𩗙": [ + "ㄔㄜ4" + ], + "𩗚": [ + "ㄧㄡ2" + ], + "𩗜": [ + "ㄨㄟ4" + ], + "𩗝": [ + "ㄏㄨㄟ3" + ], + "𩗞": [ + "ㄙㄚ4" + ], + "𩗢": [ + "ㄏㄨㄥ4" + ], + "𩗣": [ + "ㄙㄡ1" + ], + "𩗤": [ + "ㄏㄢ4" + ], + "𩗥": [ + "ㄆㄠ2" + ], + "𩗧": [ + "ㄈㄤ2" + ], + "𩗩": [ + "ㄌㄧㄡ2" + ], + "𩗪": [ + "ㄓㄡ4" + ], + "𩗫": [ + "ㄆㄧ2" + ], + "𩗭": [ + "ㄌㄧ4" + ], + "𩗰": [ + "ㄔㄨㄟ2" + ], + "𩗱": [ + "ㄒㄧ1" + ], + "𩗲": [ + "ㄓㄥ1" + ], + "𩗴": [ + "ㄅㄥ4" + ], + "𩗵": [ + "ㄓㄥ1" + ], + "𩗶": [ + "ㄙㄨㄟ4" + ], + "𩗷": [ + "ㄧㄢ3" + ], + "𩗼": [ + "ㄑㄧㄥ1" + ], + "𩗽": [ + "ㄨ4" + ], + "𩗾": [ + "ㄌㄧㄤ3" + ], + "𩘀": [ + "ㄓㄠ4" + ], + "𩘁": [ + "ㄌㄧㄤ2" + ], + "𩘅": [ + "ㄐㄧㄝ1" + ], + "𩘇": [ + "ㄏㄨㄥ1" + ], + "𩘈": [ + "ㄧㄡ1" + ], + "𩘊": [ + "ㄌㄚ4" + ], + "𩘋": [ + "ㄏㄡ4" + ], + "𩘍": [ + "ㄩㄢ4" + ], + "𩘎": [ + "ㄏㄨㄥ2" + ], + "𩘏": [ + "ㄧㄝ4" + ], + "𩘑": [ + "ㄧㄥ3", + "ㄧㄥ1" + ], + "𩘒": [ + "ㄒㄩㄢ3", + "ㄐㄩㄢ1" + ], + "𩘓": [ + "ㄧㄡ2" + ], + "𩘘": [ + "ㄑㄩㄢ2" + ], + "𩘜": [ + "ㄊㄤ2" + ], + "𩘝": [ + "ㄙㄨㄛ3" + ], + "𩘟": [ + "ㄌㄧ4" + ], + "𩘠": [ + "ㄙㄡ1" + ], + "𩘡": [ + "ㄌㄧ4" + ], + "𩘤": [ + "ㄩ4" + ], + "𩘧": [ + "ㄧ4" + ], + "𩘭": [ + "ㄒㄧㄡ1" + ], + "𩘮": [ + "ㄠ2" + ], + "𩘯": [ + "ㄊㄨㄢ2" + ], + "𩘰": [ + "ㄙㄨ4" + ], + "𩘱": [ + "ㄕㄨㄞ4" + ], + "𩘳": [ + "ㄩ4" + ], + "𩘵": [ + "ㄈㄥ1" + ], + "𩘹": [ + "ㄙㄨ4" + ], + "𩘺": [ + "ㄊㄨㄟ2" + ], + "𩘻": [ + "ㄩ4" + ], + "𩘼": [ + "ㄓㄥ1" + ], + "𩘽": [ + "ㄓㄥ1" + ], + "𩘿": [ + "ㄊㄠ2" + ], + "𩙄": [ + "ㄌㄧㄡ2" + ], + "𩙆": [ + "ㄔㄥ2" + ], + "𩙇": [ + "ㄙㄨㄟ2" + ], + "𩙈": [ + "ㄙㄠ1" + ], + "𩙏": [ + "ㄍㄨ3" + ], + "𩙐": [ + "ㄈㄥ1" + ], + "𩙑": [ + "ㄌㄧㄝ4" + ], + "𩙒": [ + "ㄆㄧㄠ1", + "ㄆㄧㄠ4" + ], + "𩙖": [ + "ㄌㄧ4" + ], + "𩙘": [ + "ㄌㄨㄥ2" + ], + "𩙙": [ + "ㄔㄨ1" + ], + "𩙚": [ + "ㄒㄧㄠ1" + ], + "𩙛": [ + "ㄏㄨㄥ1" + ], + "𩙜": [ + "ㄒㄧㄝ4" + ], + "𩙝": [ + "ㄕㄜ4" + ], + "𩙠": [ + "ㄌㄨㄥ2" + ], + "𩙡": [ + "ㄏㄡ1" + ], + "𩙢": [ + "ㄒㄩㄢ2", + "ㄕ1" + ], + "𩙣": [ + "ㄈㄥ1" + ], + "𩙥": [ + "ㄅㄚ2" + ], + "𩙦": [ + "ㄅㄛ2" + ], + "𩙧": [ + "ㄊㄠ2" + ], + "𩙨": [ + "ㄙㄨ4" + ], + "𩙩": [ + "ㄓㄠ4" + ], + "𩙪": [ + "ㄅㄧㄠ1" + ], + "𩙫": [ + "ㄙㄡ1" + ], + "𩙬": [ + "ㄊㄨㄟ2" + ], + "𩙭": [ + "ㄙㄨㄛ3" + ], + "𩙮": [ + "ㄒㄧㄠ1" + ], + "𩙯": [ + "ㄏㄥ2" + ], + "𩙰": [ + "ㄙㄠ1" + ], + "𩙲": [ + "ㄈㄟ1" + ], + "𩙷": [ + "ㄋㄧㄡ4" + ], + "𩙸": [ + "ㄇㄤ3" + ], + "𩙽": [ + "ㄏㄨㄢ2", + "ㄒㄩㄢ1" + ], + "𩙾": [ + "ㄓ1" + ], + "𩚂": [ + "ㄧ4" + ], + "𩚄": [ + "ㄩ4" + ], + "𩚇": [ + "ㄧ2" + ], + "𩚈": [ + "ㄩㄝ1" + ], + "𩚉": [ + "ㄔ2" + ], + "𩚕": [ + "ㄧㄣ3", + "ㄑㄧㄤ1" + ], + "𩚖": [ + "ㄋㄧㄡ4" + ], + "𩚗": [ + "ㄖㄨㄥ3" + ], + "𩚛": [ + "ㄋㄚ4" + ], + "𩚣": [ + "ㄊㄧㄢ2" + ], + "𩚥": [ + "ㄅㄚ1" + ], + "𩚪": [ + "ㄦ3" + ], + "𩚫": [ + "ㄓㄥ1" + ], + "𩚬": [ + "ㄜ4" + ], + "𩚭": [ + "ㄆㄡ2" + ], + "𩚮": [ + "ㄐㄧ1", + "ㄋㄧ4" + ], + "𩚯": [ + "ㄋㄧ2" + ], + "𩚱": [ + "ㄐㄩㄥ3" + ], + "𩚲": [ + "ㄐㄧㄚ2" + ], + "𩚵": [ + "ㄍㄢ1" + ], + "𩚹": [ + "ㄌㄧㄥ2" + ], + "𩚻": [ + "ㄗㄨㄟ4" + ], + "𩚾": [ + "ㄅㄟ4" + ], + "𩛅": [ + "ㄕㄨ1" + ], + "𩛆": [ + "ㄧ3" + ], + "𩛇": [ + "ㄆㄞ1" + ], + "𩛋": [ + "ㄋㄠ3" + ], + "𩛌": [ + "ㄕ4" + ], + "𩛎": [ + "ㄇㄢ3" + ], + "𩛏": [ + "ㄕ4" + ], + "𩛑": [ + "ㄊㄧ2" + ], + "𩛘": [ + "ㄍㄨㄥ1" + ], + "𩛝": [ + "ㄌㄟ4" + ], + "𩛞": [ + "ㄅㄠ3", + "ㄋㄟ3", + "ㄆㄧㄠ3" + ], + "𩛟": [ + "ㄩㄢ1", + "ㄇㄢ2" + ], + "𩛠": [ + "ㄗㄨㄛ1" + ], + "𩛡": [ + "ㄌㄤ2", + "ㄋㄤ2" + ], + "𩛢": [ + "ㄒㄧㄡ1" + ], + "𩛥": [ + "ㄗㄞ4" + ], + "𩛦": [ + "ㄔㄥ4" + ], + "𩛧": [ + "ㄐㄧㄢ1" + ], + "𩛨": [ + "ㄇㄠ4" + ], + "𩛩": [ + "ㄐㄧㄚ2" + ], + "𩛪": [ + "ㄩ4" + ], + "𩛭": [ + "ㄩ4" + ], + "𩛮": [ + "ㄧ2" + ], + "𩛲": [ + "ㄇㄤ1" + ], + "𩛳": [ + "ㄗㄞ4", + "ㄘㄢ1" + ], + "𩛵": [ + "ㄓㄨㄟ4" + ], + "𩛶": [ + "ㄊㄧ2" + ], + "𩛹": [ + "ㄒㄧ4" + ], + "𩛺": [ + "ㄐㄩ2" + ], + "𩛻": [ + "ㄗㄢ4", + "ㄗㄨㄢ3", + "ㄓㄢ1" + ], + "𩛼": [ + "ㄌㄨ4" + ], + "𩛽": [ + "ㄊㄠ2" + ], + "𩜀": [ + "ㄓㄨㄟ4", + "ㄉㄨㄟ1" + ], + "𩜁": [ + "ㄌㄧㄥ2" + ], + "𩜃": [ + "ㄐㄩ4" + ], + "𩜆": [ + "ㄐㄧ1" + ], + "𩜇": [ + "ㄐㄩㄢ3", + "ㄐㄩㄢ4" + ], + "𩜊": [ + "ㄗ1" + ], + "𩜌": [ + "ㄩㄝ1" + ], + "𩜍": [ + "ㄉㄨㄥ1" + ], + "𩜒": [ + "ㄋㄤ3" + ], + "𩜖": [ + "ㄔㄨㄥ2" + ], + "𩜟": [ + "ㄤ4" + ], + "𩜣": [ + "ㄍㄥ1" + ], + "𩜥": [ + "ㄅㄛ1" + ], + "𩜦": [ + "ㄉㄧㄥ4" + ], + "𩜧": [ + "ㄨㄟ3" + ], + "𩜬": [ + "ㄑㄩㄢ2" + ], + "𩜭": [ + "ㄎㄜ1" + ], + "𩜰": [ + "ㄆㄧ4" + ], + "𩜱": [ + "ㄎㄢ3", + "ㄙㄢ3" + ], + "𩜲": [ + "ㄈㄨ2" + ], + "𩜳": [ + "ㄩㄥ3" + ], + "𩜵": [ + "ㄊㄨㄢ2" + ], + "𩜶": [ + "ㄊㄡ3" + ], + "𩜷": [ + "ㄧㄡ4", + "ㄋㄧㄡ4" + ], + "𩜸": [ + "ㄧㄠ1" + ], + "𩜺": [ + "ㄧㄝ1" + ], + "𩜽": [ + "ㄧㄢ4" + ], + "𩝈": [ + "ㄒㄧㄢ2" + ], + "𩝊": [ + "ㄊㄧ2" + ], + "𩝌": [ + "ㄙㄨㄟ4" + ], + "𩝐": [ + "ㄘ2" + ], + "𩝔": [ + "ㄒㄩ3" + ], + "𩝕": [ + "ㄨ4" + ], + "𩝖": [ + "ㄘㄢ1" + ], + "𩝗": [ + "ㄩ4" + ], + "𩝚": [ + "ㄔㄢ3" + ], + "𩝛": [ + "ㄒㄧㄚ2" + ], + "𩝝": [ + "ㄎㄠ4", + "ㄍㄠ1" + ], + "𩝞": [ + "ㄘㄤ1" + ], + "𩝟": [ + "ㄔㄚ1" + ], + "𩝠": [ + "ㄑㄧㄡ3" + ], + "𩝣": [ + "ㄉㄚ1" + ], + "𩝥": [ + "ㄙㄨ4" + ], + "𩝨": [ + "ㄏㄨㄚ1" + ], + "𩝷": [ + "ㄨ1" + ], + "𩝸": [ + "ㄩㄢ1" + ], + "𩝽": [ + "ㄐㄧㄤ4" + ], + "𩝾": [ + "ㄒㄧㄤ3" + ], + "𩝿": [ + "ㄓㄞ1" + ], + "𩞀": [ + "ㄙㄢ3", + "ㄔㄣ3", + "ㄘㄢ4" + ], + "𩞁": [ + "ㄇㄛ2", + "ㄇㄧ2" + ], + "𩞃": [ + "ㄕㄤ3", + "ㄒㄧㄤ3" + ], + "𩞄": [ + "ㄘㄠ2" + ], + "𩞅": [ + "ㄙㄨㄟ1" + ], + "𩞆": [ + "ㄔㄨㄤ2" + ], + "𩞇": [ + "ㄇㄧ2" + ], + "𩞈": [ + "ㄓㄨ2" + ], + "𩞉": [ + "ㄔㄨㄥ2" + ], + "𩞊": [ + "ㄐㄧ4" + ], + "𩞋": [ + "ㄔㄨㄥ2" + ], + "𩞙": [ + "ㄌㄧㄢ2" + ], + "𩞞": [ + "ㄏㄞ4" + ], + "𩞤": [ + "ㄉㄨㄣ1" + ], + "𩞥": [ + "ㄒㄧㄤ3" + ], + "𩞦": [ + "ㄔㄥ1" + ], + "𩞧": [ + "ㄕㄤ3" + ], + "𩞨": [ + "ㄌㄧ4" + ], + "𩞩": [ + "ㄏㄨㄤ2" + ], + "𩞬": [ + "ㄉㄥ4" + ], + "𩞯": [ + "ㄌㄧㄤ2" + ], + "𩞶": [ + "ㄗㄚ1" + ], + "𩞺": [ + "ㄏㄨㄛ4" + ], + "𩞻": [ + "ㄌㄧㄣ2" + ], + "𩞾": [ + "ㄉㄨ2", + "ㄧ4" + ], + "𩞿": [ + "ㄏㄢ4" + ], + "𩟀": [ + "ㄩㄥ1", + "ㄩㄥ3" + ], + "𩟁": [ + "ㄩㄢ4", + "ㄒㄩㄢ4" + ], + "𩟂": [ + "ㄍㄨㄛ4" + ], + "𩟃": [ + "ㄌㄧㄥ2" + ], + "𩟅": [ + "ㄌㄧㄢ3" + ], + "𩟇": [ + "ㄠ4" + ], + "𩟈": [ + "ㄉㄤ1" + ], + "𩟉": [ + "ㄧ4" + ], + "𩟊": [ + "ㄋㄨㄥ2" + ], + "𩟋": [ + "ㄕㄢ4" + ], + "𩟍": [ + "ㄒㄧㄣ4" + ], + "𩟐": [ + "ㄉㄚ2" + ], + "𩟑": [ + "ㄩ4" + ], + "𩟒": [ + "ㄘㄢ1" + ], + "𩟓": [ + "ㄨㄛ4" + ], + "𩟔": [ + "ㄔㄚ2" + ], + "𩟕": [ + "ㄅㄛ2" + ], + "𩟗": [ + "ㄐㄧㄢ3" + ], + "𩟞": [ + "ㄇㄥ2" + ], + "𩟟": [ + "ㄨㄟ3" + ], + "𩟠": [ + "ㄇㄛ2" + ], + "𩟥": [ + "ㄕㄨㄟ4", + "ㄐㄩㄢ3" + ], + "𩟦": [ + "ㄐㄧㄝ2" + ], + "𩟧": [ + "ㄕㄨㄛ4" + ], + "𩟨": [ + "ㄏㄨㄛ4" + ], + "𩟫": [ + "ㄔㄨㄛ4" + ], + "𩟭": [ + "ㄌㄨㄥ2" + ], + "𩟮": [ + "ㄏㄨㄞ4" + ], + "𩟰": [ + "ㄊㄨㄛ1" + ], + "𩟳": [ + "ㄩ2" + ], + "𩟶": [ + "ㄔㄢ4", + "ㄐㄧㄝ2" + ], + "𩟷": [ + "ㄩㄥ1" + ], + "𩟸": [ + "ㄏㄨㄛ4" + ], + "𩟺": [ + "ㄌㄢ3" + ], + "𩟿": [ + "ㄋㄚ4" + ], + "𩠀": [ + "ㄅㄚ1" + ], + "𩠁": [ + "ㄍㄢ1" + ], + "𩠂": [ + "ㄧ3" + ], + "𩠃": [ + "ㄐㄧㄚ2" + ], + "𩠅": [ + "ㄉㄚ2" + ], + "𩠆": [ + "ㄉㄧㄥ4" + ], + "𩠇": [ + "ㄒㄩㄣ4" + ], + "𩠈": [ + "ㄖㄣ3" + ], + "𩠉": [ + "ㄐㄩㄢ3" + ], + "𩠊": [ + "ㄊㄨㄢ2" + ], + "𩠋": [ + "ㄒㄩ3" + ], + "𩠌": [ + "ㄙㄨㄥ4" + ], + "𩠎": [ + "ㄘㄠ2" + ], + "𩠏": [ + "ㄔㄥ1" + ], + "𩠑": [ + "ㄉㄧㄥ3" + ], + "𩠚": [ + "ㄏㄞ2" + ], + "𩠟": [ + "ㄨ3" + ], + "𩠦": [ + "ㄑㄧ3", + "ㄕㄡ3" + ], + "𩠨": [ + "ㄐㄧ1", + "ㄑㄧ3" + ], + "𩠮": [ + "ㄎㄨㄟ2" + ], + "𩠯": [ + "ㄨㄟ2" + ], + "𩠶": [ + "ㄕㄡ3" + ], + "𩠷": [ + "ㄈㄨ2" + ], + "𩠹": [ + "ㄊㄨㄢ2" + ], + "𩠻": [ + "ㄅㄧㄝ2", + "ㄏㄢ1" + ], + "𩠽": [ + "ㄊㄢ2" + ], + "𩠾": [ + "ㄏㄤ1" + ], + "𩠿": [ + "ㄆㄧㄝ1" + ], + "𩡃": [ + "ㄩ2" + ], + "𩡄": [ + "ㄊㄢ2", + "ㄒㄧㄤ1" + ], + "𩡌": [ + "ㄒㄧㄤ1" + ], + "𩡎": [ + "ㄒㄧㄡ1" + ], + "𩡓": [ + "ㄨㄥ3" + ], + "𩡔": [ + "ㄏㄞ4" + ], + "𩡕": [ + "ㄆㄥ2" + ], + "𩡝": [ + "ㄊㄢ2" + ], + "𩡟": [ + "ㄅㄧㄝ2" + ], + "𩡠": [ + "ㄒㄧㄤ1" + ], + "𩡣": [ + "ㄧ3" + ], + "𩡦": [ + "ㄆㄧㄠ2" + ], + "𩡧": [ + "ㄏㄨㄢ2" + ], + "𩡨": [ + "ㄇㄨ3" + ], + "𩡩": [ + "ㄅㄚ1" + ], + "𩡫": [ + "ㄈㄢ4" + ], + "𩡯": [ + "ㄉㄧㄥ1" + ], + "𩡷": [ + "ㄈㄣ1", + "ㄈㄟ4" + ], + "𩡺": [ + "ㄐㄧㄝ4" + ], + "𩡾": [ + "ㄙㄨㄛ2" + ], + "𩢄": [ + "ㄨㄢ4" + ], + "𩢅": [ + "ㄍㄜ1" + ], + "𩢈": [ + "ㄈㄣ1" + ], + "𩢊": [ + "ㄊㄨㄛ2" + ], + "𩢌": [ + "ㄨㄣ2" + ], + "𩢍": [ + "ㄍㄨㄚ1" + ], + "𩢎": [ + "ㄉㄨㄛ1" + ], + "𩢐": [ + "ㄓㄜ2" + ], + "𩢑": [ + "ㄘ3" + ], + "𩢒": [ + "ㄧㄠ3" + ], + "𩢔": [ + "ㄅㄢ4" + ], + "𩢕": [ + "ㄅㄨ4" + ], + "𩢖": [ + "ㄇㄛ4" + ], + "𩢘": [ + "ㄆㄛ3" + ], + "𩢛": [ + "ㄍㄜ2" + ], + "𩢞": [ + "ㄌㄧㄡ2" + ], + "𩢡": [ + "ㄖㄢ3" + ], + "𩢨": [ + "ㄍㄢ1" + ], + "𩢪": [ + "ㄏㄨ2" + ], + "𩢫": [ + "ㄇㄡ2" + ], + "𩢮": [ + "ㄒㄧㄡ1" + ], + "𩢯": [ + "ㄏㄨㄤ1" + ], + "𩢰": [ + "ㄈㄨ2" + ], + "𩢱": [ + "ㄏㄨㄟ2" + ], + "𩢳": [ + "ㄑㄩ2" + ], + "𩢴": [ + "ㄐㄧㄝ2", + "ㄐㄧ2" + ], + "𩢵": [ + "ㄊㄨㄛ1" + ], + "𩢶": [ + "ㄩ2" + ], + "𩢷": [ + "ㄇㄛ4" + ], + "𩢸": [ + "ㄓㄡ1" + ], + "𩢹": [ + "ㄐㄧㄡ4" + ], + "𩢻": [ + "ㄕㄨ2" + ], + "𩢼": [ + "ㄎㄨㄤ1" + ], + "𩢽": [ + "ㄑㄩㄥ2" + ], + "𩢾": [ + "ㄌㄧㄝ4" + ], + "𩢿": [ + "ㄈㄨ4" + ], + "𩣊": [ + "ㄒㄩ4" + ], + "𩣖": [ + "ㄌㄧㄣ4" + ], + "𩣘": [ + "ㄋㄧㄝ4" + ], + "𩣚": [ + "ㄆㄧ1", + "ㄅㄧ3" + ], + "𩣜": [ + "ㄈㄨ4" + ], + "𩣝": [ + "ㄅㄨ4" + ], + "𩣞": [ + "ㄧ4", + "ㄙㄚ4" + ], + "𩣡": [ + "ㄅㄛ2" + ], + "𩣣": [ + "ㄜ2", + "ㄜ3" + ], + "𩣩": [ + "ㄓㄜ2" + ], + "𩣫": [ + "ㄌㄧ4" + ], + "𩣮": [ + "ㄊㄨ4" + ], + "𩣯": [ + "ㄉㄚ2" + ], + "𩣱": [ + "ㄌㄨ4" + ], + "𩣲": [ + "ㄧㄢ1" + ], + "𩣳": [ + "ㄉㄨㄥ1" + ], + "𩣴": [ + "ㄑㄧㄝ4" + ], + "𩣵": [ + "ㄨㄢ3", + "ㄨㄛ4" + ], + "𩣶": [ + "ㄇㄧㄥ3" + ], + "𩣷": [ + "ㄗㄨㄟ1", + "ㄓㄨ4" + ], + "𩣸": [ + "ㄈㄨ4" + ], + "𩣹": [ + "ㄑㄩ1" + ], + "𩣺": [ + "ㄅㄣ1" + ], + "𩣻": [ + "ㄠ3" + ], + "𩣼": [ + "ㄑㄧㄤ1" + ], + "𩤁": [ + "ㄑㄩㄣ1" + ], + "𩤈": [ + "ㄑㄩㄝ4" + ], + "𩤉": [ + "ㄏㄨㄚ2", + "ㄊㄠ2" + ], + "𩤊": [ + "ㄒㄧㄢ4", + "ㄐㄧㄢ4" + ], + "𩤋": [ + "ㄎㄨㄣ4" + ], + "𩤏": [ + "ㄘㄨㄟ4" + ], + "𩤒": [ + "ㄧ2" + ], + "𩤖": [ + "ㄔ1", + "ㄦ2" + ], + "𩤗": [ + "ㄗㄨㄥ4" + ], + "𩤘": [ + "ㄋㄠ3" + ], + "𩤙": [ + "ㄔㄥ2" + ], + "𩤚": [ + "ㄉㄨㄢ1" + ], + "𩤛": [ + "ㄩㄥ2" + ], + "𩤜": [ + "ㄓㄜ3" + ], + "𩤞": [ + "ㄊㄢ4" + ], + "𩤟": [ + "ㄧㄤ2" + ], + "𩤠": [ + "ㄒㄧㄝ2" + ], + "𩤡": [ + "ㄒㄩㄢ1" + ], + "𩤣": [ + "ㄉㄨㄢ4" + ], + "𩤤": [ + "ㄕㄨㄚ3" + ], + "𩤥": [ + "ㄒㄧㄢ2" + ], + "𩤦": [ + "ㄒㄧㄢ2" + ], + "𩤩": [ + "ㄜ2" + ], + "𩤲": [ + "ㄌㄚ1" + ], + "𩤸": [ + "ㄨㄟ4" + ], + "𩤹": [ + "ㄧㄡ1" + ], + "𩤺": [ + "ㄩ2" + ], + "𩤽": [ + "ㄊㄧ1" + ], + "𩤿": [ + "ㄐㄧㄣ1" + ], + "𩥁": [ + "ㄊㄤ2" + ], + "𩥂": [ + "ㄑㄧ2" + ], + "𩥄": [ + "ㄉㄧㄢ1" + ], + "𩥅": [ + "ㄊㄠ1" + ], + "𩥆": [ + "ㄌㄩ4" + ], + "𩥇": [ + "ㄓㄢ4" + ], + "𩥈": [ + "ㄨㄣ1" + ], + "𩥉": [ + "ㄐㄧ4" + ], + "𩥊": [ + "ㄠ1", + "ㄐㄧㄠ1" + ], + "𩥋": [ + "ㄡ4", + "ㄉㄨ2" + ], + "𩥌": [ + "ㄑㄧㄚ4" + ], + "𩥐": [ + "ㄕ1" + ], + "𩥑": [ + "ㄊㄚ3" + ], + "𩥔": [ + "ㄇㄛ4" + ], + "𩥘": [ + "ㄧㄡ2" + ], + "𩥠": [ + "ㄓㄚ2" + ], + "𩥣": [ + "ㄧㄠ2" + ], + "𩥫": [ + "ㄔㄨㄥ1" + ], + "𩥬": [ + "ㄌㄧ2" + ], + "𩥭": [ + "ㄩ2" + ], + "𩥮": [ + "ㄔㄢ3" + ], + "𩥯": [ + "ㄧ1" + ], + "𩥲": [ + "ㄔ4" + ], + "𩥴": [ + "ㄌㄧ2" + ], + "𩥽": [ + "ㄊㄨ2" + ], + "𩥿": [ + "ㄗㄨ2" + ], + "𩦂": [ + "ㄒㄧㄢ2" + ], + "𩦇": [ + "ㄒㄧ4" + ], + "𩦉": [ + "ㄅㄧㄝ2" + ], + "𩦊": [ + "ㄏㄢ2", + "ㄑㄧㄢ1" + ], + "𩦋": [ + "ㄑㄧ2" + ], + "𩦌": [ + "ㄙㄤ1", + "ㄕㄨㄤ1" + ], + "𩦎": [ + "ㄈㄟ1", + "ㄈㄟ3" + ], + "𩦐": [ + "ㄕㄢ4", + "ㄏㄨㄛ1" + ], + "𩦘": [ + "ㄏㄨㄢ1" + ], + "𩦠": [ + "ㄅㄤ4" + ], + "𩦡": [ + "ㄩ2" + ], + "𩦢": [ + "ㄩ2" + ], + "𩦤": [ + "ㄐㄧ2" + ], + "𩦱": [ + "ㄎㄨㄞ3" + ], + "𩦲": [ + "ㄗㄨㄥ1" + ], + "𩦹": [ + "ㄒㄧㄢ4" + ], + "𩦺": [ + "ㄇㄥ2" + ], + "𩧃": [ + "ㄌㄧ4" + ], + "𩧄": [ + "ㄓ4" + ], + "𩧅": [ + "ㄈㄢ2" + ], + "𩧆": [ + "ㄌㄧㄝ4", + "ㄌㄚ4" + ], + "𩧇": [ + "ㄘㄞ4" + ], + "𩧈": [ + "ㄉㄨ2" + ], + "𩧉": [ + "ㄍㄨㄤ1" + ], + "𩧊": [ + "ㄒㄩㄥ4" + ], + "𩧋": [ + "ㄌㄧ2" + ], + "𩧌": [ + "ㄑㄧ4" + ], + "𩧏": [ + "ㄐㄩㄝ2" + ], + "𩧐": [ + "ㄊㄨㄛ1" + ], + "𩧒": [ + "ㄐㄩ4" + ], + "𩧓": [ + "ㄒㄧㄠ1" + ], + "𩧘": [ + "ㄑㄩ2" + ], + "𩧜": [ + "ㄓㄨㄢ3" + ], + "𩧡": [ + "ㄐㄩㄝ2" + ], + "𩧦": [ + "ㄐㄧㄝ4" + ], + "𩧨": [ + "ㄓㄡ4" + ], + "𩧩": [ + "ㄒㄧㄢ4" + ], + "𩧪": [ + "ㄌㄨㄥ2" + ], + "𩧫": [ + "ㄧㄤ3" + ], + "𩧬": [ + "ㄖㄢ3" + ], + "𩧭": [ + "ㄧ4" + ], + "𩧮": [ + "ㄌㄧㄝ4" + ], + "𩧯": [ + "ㄅㄛ1" + ], + "𩧰": [ + "ㄏㄨㄣ2" + ], + "𩧱": [ + "ㄐㄧ4" + ], + "𩧲": [ + "ㄉㄨㄥ4" + ], + "𩧳": [ + "ㄓㄡ1" + ], + "𩧴": [ + "ㄑㄩㄢ1" + ], + "𩧵": [ + "ㄐㄧㄝ2" + ], + "𩧺": [ + "ㄐㄩ2" + ], + "𩧼": [ + "ㄅㄣ1" + ], + "𩧿": [ + "ㄅㄧ1" + ], + "𩨀": [ + "ㄍㄜ2" + ], + "𩨁": [ + "ㄔㄨㄣ3" + ], + "𩨃": [ + "ㄑㄧㄢ2" + ], + "𩨄": [ + "ㄙㄡ1" + ], + "𩨅": [ + "ㄨㄟ4" + ], + "𩨆": [ + "ㄔㄥ2" + ], + "𩨇": [ + "ㄌㄡ2" + ], + "𩨈": [ + "ㄩ2" + ], + "𩨉": [ + "ㄌㄚ1" + ], + "𩨊": [ + "ㄑㄧㄢ2" + ], + "𩨋": [ + "ㄉㄧㄢ1" + ], + "𩨌": [ + "ㄊㄚ3" + ], + "𩨍": [ + "ㄓㄢ4" + ], + "𩨏": [ + "ㄈㄢ2" + ], + "𩨐": [ + "ㄌㄧㄝ4" + ], + "𩨑": [ + "ㄊㄧㄥ1" + ], + "𩨒": [ + "ㄐㄧ1" + ], + "𩨓": [ + "ㄑㄧㄢ1" + ], + "𩨔": [ + "ㄏㄨ2", + "ㄏㄨㄚ2" + ], + "𩨗": [ + "ㄩ2" + ], + "𩨘": [ + "ㄑㄧ4", + "ㄍㄜ1" + ], + "𩨙": [ + "ㄩ2" + ], + "𩨚": [ + "ㄨㄚ1" + ], + "𩨜": [ + "ㄅㄚ4" + ], + "𩨝": [ + "ㄑㄧ2" + ], + "𩨞": [ + "ㄙㄚ3" + ], + "𩨟": [ + "ㄑㄧㄠ1" + ], + "𩨠": [ + "ㄧㄚ4" + ], + "𩨡": [ + "ㄒㄧㄢ3", + "ㄙㄢ3" + ], + "𩨨": [ + "ㄘ1" + ], + "𩨩": [ + "ㄈㄢ4" + ], + "𩨫": [ + "ㄎㄨㄣ3" + ], + "𩨬": [ + "ㄍㄨㄣ3" + ], + "𩨭": [ + "ㄑㄩㄝ1" + ], + "𩨮": [ + "ㄜ4" + ], + "𩨯": [ + "ㄑㄩㄥ2" + ], + "𩨲": [ + "ㄇㄚ4" + ], + "𩨳": [ + "ㄎㄨ1", + "ㄉㄨ1" + ], + "𩨴": [ + "ㄧㄠ3" + ], + "𩨷": [ + "ㄑㄩㄝ1" + ], + "𩨸": [ + "ㄔㄨ1" + ], + "𩨹": [ + "ㄐㄧㄚ3" + ], + "𩨻": [ + "ㄓㄨ3" + ], + "𩨽": [ + "ㄉㄨㄟ1" + ], + "𩨾": [ + "ㄨㄚ2" + ], + "𩩀": [ + "ㄋㄠ3" + ], + "𩩄": [ + "ㄧㄢ2" + ], + "𩩅": [ + "ㄊㄨㄥ2" + ], + "𩩋": [ + "ㄒㄧㄥ2", + "ㄐㄧㄥ4" + ], + "𩩌": [ + "ㄍㄨㄣ3" + ], + "𩩍": [ + "ㄆㄧㄥ1" + ], + "𩩑": [ + "ㄩ3" + ], + "𩩒": [ + "ㄏㄜ4" + ], + "𩩔": [ + "ㄓㄨㄛ2" + ], + "𩩗": [ + "ㄕㄜ1" + ], + "𩩘": [ + "ㄩ3" + ], + "𩩛": [ + "ㄐㄧ4" + ], + "𩩝": [ + "ㄑㄧㄤ1" + ], + "𩩞": [ + "ㄕㄨㄟ4" + ], + "𩩟": [ + "ㄔㄨㄛ4" + ], + "𩩠": [ + "ㄗㄨ2" + ], + "𩩡": [ + "ㄌㄥ2" + ], + "𩩢": [ + "ㄋㄧ2" + ], + "𩩤": [ + "ㄨㄚ1" + ], + "𩩥": [ + "ㄓㄚ2" + ], + "𩩧": [ + "ㄉㄢ4" + ], + "𩩮": [ + "ㄉㄨ4" + ], + "𩩯": [ + "ㄅㄧㄢ4" + ], + "𩩰": [ + "ㄐㄧㄝ1", + "ㄏㄞ2" + ], + "𩩱": [ + "ㄑㄧㄚ4" + ], + "𩩲": [ + "ㄏㄜ2" + ], + "𩩳": [ + "ㄔㄨㄥ4" + ], + "𩩴": [ + "ㄧㄢ2" + ], + "𩩶": [ + "ㄧㄢ4" + ], + "𩩺": [ + "ㄙㄨㄥ2" + ], + "𩩻": [ + "ㄊㄥ2" + ], + "𩩼": [ + "ㄧㄠ3" + ], + "𩩾": [ + "ㄎㄠ1" + ], + "𩪀": [ + "ㄓㄨㄟ1" + ], + "𩪁": [ + "ㄍㄨㄟ4" + ], + "𩪂": [ + "ㄞ2" + ], + "𩪃": [ + "ㄏㄞ4" + ], + "𩪈": [ + "ㄙㄨㄛ3" + ], + "𩪉": [ + "ㄒㄩ4" + ], + "𩪊": [ + "ㄅㄧㄠ1" + ], + "𩪌": [ + "ㄈㄥ4" + ], + "𩪍": [ + "ㄑㄩ1", + "ㄕㄨ1" + ], + "𩪎": [ + "ㄇㄤ3" + ], + "𩪐": [ + "ㄍㄨㄛ2" + ], + "𩪖": [ + "ㄅㄧ4" + ], + "𩪗": [ + "ㄐㄩㄝ2" + ], + "𩪘": [ + "ㄔㄨㄤ2" + ], + "𩪛": [ + "ㄆㄨ2" + ], + "𩪟": [ + "ㄧ4" + ], + "𩪢": [ + "ㄑㄧㄢ1" + ], + "𩪣": [ + "ㄧ4" + ], + "𩪤": [ + "ㄜ4" + ], + "𩪥": [ + "ㄌㄧㄥ2" + ], + "𩪧": [ + "ㄅㄧ4" + ], + "𩪭": [ + "ㄏㄨㄛ4" + ], + "𩪮": [ + "ㄇㄛ3", + "ㄇㄛ2" + ], + "𩪱": [ + "ㄒㄩㄣ1" + ], + "𩪴": [ + "ㄧㄢ4" + ], + "𩪸": [ + "ㄌㄧ4" + ], + "𩪺": [ + "ㄊㄢ2" + ], + "𩪾": [ + "ㄌㄨㄢ2" + ], + "𩫀": [ + "ㄎㄞ4" + ], + "𩫁": [ + "ㄇㄠ4" + ], + "𩫂": [ + "ㄒㄧㄠ1" + ], + "𩫇": [ + "ㄞ3" + ], + "𩫊": [ + "ㄊㄚ3" + ], + "𩫍": [ + "ㄇㄟ4" + ], + "𩫏": [ + "ㄍㄨㄛ1", + "ㄩㄥ1" + ], + "𩫓": [ + "ㄍㄠ3" + ], + "𩫔": [ + "ㄋㄠ2" + ], + "𩫕": [ + "ㄏㄠ2" + ], + "𩫠": [ + "ㄑㄩㄝ1" + ], + "𩫥": [ + "ㄘㄠ2" + ], + "𩫦": [ + "ㄙㄠ4" + ], + "𩫫": [ + "ㄆㄧ2" + ], + "𩫲": [ + "ㄒㄧㄝ1" + ], + "𩫳": [ + "ㄒㄧㄠ1" + ], + "𩫴": [ + "ㄐㄩ2" + ], + "𩫹": [ + "ㄔㄥ2" + ], + "𩫺": [ + "ㄋㄠ3" + ], + "𩬀": [ + "ㄋㄟ4" + ], + "𩬍": [ + "ㄇㄨ3" + ], + "𩬏": [ + "ㄕㄠ1" + ], + "𩬑": [ + "ㄉㄧㄢ1", + "ㄔㄢ1" + ], + "𩬔": [ + "ㄌㄧㄥ2" + ], + "𩬖": [ + "ㄓㄣ3" + ], + "𩬗": [ + "ㄧㄠ3" + ], + "𩬙": [ + "ㄈㄨ4", + "ㄈㄨ1" + ], + "𩬚": [ + "ㄑㄧㄢ2", + "ㄍㄢ4" + ], + "𩬛": [ + "ㄑㄩㄥ2" + ], + "𩬜": [ + "ㄐㄩ2" + ], + "𩬝": [ + "ㄅㄧㄥ4", + "ㄈㄤ3" + ], + "𩬞": [ + "ㄇㄠ2", + "ㄇㄢ2", + "ㄇㄧㄢ2" + ], + "𩬟": [ + "ㄓㄚ4" + ], + "𩬠": [ + "ㄊㄞ1" + ], + "𩬤": [ + "ㄔㄨㄥ1" + ], + "𩬫": [ + "ㄓㄞ3" + ], + "𩬭": [ + "ㄕ1" + ], + "𩬮": [ + "ㄩㄥ4" + ], + "𩬰": [ + "ㄑㄩㄥ2" + ], + "𩬱": [ + "ㄉㄠ4" + ], + "𩬲": [ + "ㄊㄧ4" + ], + "𩬳": [ + "ㄓㄨㄟ3" + ], + "𩬵": [ + "ㄧㄣ4" + ], + "𩬷": [ + "ㄋㄠ3" + ], + "𩬸": [ + "ㄅㄛ1" + ], + "𩬹": [ + "ㄎㄨㄤ1" + ], + "𩬺": [ + "ㄓ3" + ], + "𩬻": [ + "ㄉㄨㄛ3" + ], + "𩬼": [ + "ㄘㄨㄥ1" + ], + "𩬽": [ + "ㄅㄠ3" + ], + "𩭇": [ + "ㄌㄧ2" + ], + "𩭊": [ + "ㄐㄩ2" + ], + "𩭋": [ + "ㄨㄣ2", + "ㄎㄨㄣ1" + ], + "𩭌": [ + "ㄌㄧㄝ4" + ], + "𩭏": [ + "ㄨㄛ3" + ], + "𩭐": [ + "ㄕ3" + ], + "𩭑": [ + "ㄋㄧㄠ3" + ], + "𩭒": [ + "ㄇㄤ2" + ], + "𩭓": [ + "ㄐㄧㄡ1" + ], + "𩭘": [ + "ㄒㄧㄡ1" + ], + "𩭝": [ + "ㄨㄛ3" + ], + "𩭟": [ + "ㄉㄠ4" + ], + "𩭡": [ + "ㄒㄧ1" + ], + "𩭢": [ + "ㄢ4" + ], + "𩭣": [ + "ㄉㄚ2" + ], + "𩭤": [ + "ㄗㄨㄥ3", + "ㄗㄨㄥ1" + ], + "𩭥": [ + "ㄏㄢ4" + ], + "𩭦": [ + "ㄔㄨㄟ2" + ], + "𩭧": [ + "ㄅㄧ1", + "ㄅㄢ1" + ], + "𩭩": [ + "ㄉㄨㄥ4" + ], + "𩭫": [ + "ㄓㄤ3" + ], + "𩭯": [ + "ㄧㄚ1" + ], + "𩭲": [ + "ㄉㄧ2" + ], + "𩭳": [ + "ㄏㄨㄛ1" + ], + "𩭷": [ + "ㄇㄧㄣ2" + ], + "𩭺": [ + "ㄈㄨ4" + ], + "𩭼": [ + "ㄅㄠ3" + ], + "𩭽": [ + "ㄎㄜ4" + ], + "𩭾": [ + "ㄇㄠ2" + ], + "𩭿": [ + "ㄖㄜ4" + ], + "𩮀": [ + "ㄗㄨㄥ1", + "ㄗㄨㄥ3", + "ㄙㄨㄥ1" + ], + "𩮁": [ + "ㄑㄧㄚ4" + ], + "𩮂": [ + "ㄒㄧㄚ1" + ], + "𩮃": [ + "ㄙㄡ1" + ], + "𩮄": [ + "ㄒㄧㄡ1" + ], + "𩮅": [ + "ㄋㄚ4" + ], + "𩮉": [ + "ㄇㄢ2", + "ㄇㄧㄢ2" + ], + "𩮎": [ + "ㄓㄚ1" + ], + "𩮏": [ + "ㄔㄢ2" + ], + "𩮐": [ + "ㄕㄜ4" + ], + "𩮑": [ + "ㄨㄛ3" + ], + "𩮖": [ + "ㄞ2" + ], + "𩮗": [ + "ㄅㄤ4", + "ㄆㄥ2", + "ㄈㄤ3" + ], + "𩮘": [ + "ㄏㄠ1" + ], + "𩮚": [ + "ㄙㄠ1" + ], + "𩮛": [ + "ㄙㄨㄛ3" + ], + "𩮜": [ + "ㄊㄧ4" + ], + "𩮝": [ + "ㄧㄚ4" + ], + "𩮟": [ + "ㄅㄧㄥ4" + ], + "𩮠": [ + "ㄖㄨㄥ2" + ], + "𩮫": [ + "ㄕㄚ1" + ], + "𩮬": [ + "ㄨㄥ3" + ], + "𩮯": [ + "ㄠ2" + ], + "𩮱": [ + "ㄓㄨㄤ1" + ], + "𩮳": [ + "ㄆㄧㄠ4", + "ㄆㄧㄠ3", + "ㄆㄧㄝ1" + ], + "𩮴": [ + "ㄙㄨㄟ1", + "ㄘㄨㄟ3" + ], + "𩮵": [ + "ㄧ1" + ], + "𩮶": [ + "ㄙㄡ1" + ], + "𩮷": [ + "ㄉㄡ1" + ], + "𩮸": [ + "ㄙㄡ1", + "ㄋㄚ4" + ], + "𩮹": [ + "ㄌㄨㄛ2" + ], + "𩯃": [ + "ㄈㄟ4", + "ㄅㄧ4" + ], + "𩯄": [ + "ㄗㄨㄣ4" + ], + "𩯆": [ + "ㄋㄠ4" + ], + "𩯇": [ + "ㄉㄥ1" + ], + "𩯈": [ + "ㄓ2" + ], + "𩯉": [ + "ㄘㄨㄛ1" + ], + "𩯊": [ + "ㄌㄧㄠ2" + ], + "𩯋": [ + "ㄐㄧ3" + ], + "𩯌": [ + "ㄅㄛ1" + ], + "𩯍": [ + "ㄘㄨㄥ2" + ], + "𩯎": [ + "ㄔㄥ2" + ], + "𩯏": [ + "ㄅㄨ3" + ], + "𩯑": [ + "ㄙㄢ1" + ], + "𩯒": [ + "ㄗㄢ4" + ], + "𩯘": [ + "ㄐㄧㄠ4" + ], + "𩯛": [ + "ㄧㄠ4" + ], + "𩯜": [ + "ㄌㄨ3" + ], + "𩯞": [ + "ㄘㄢ4" + ], + "𩯨": [ + "ㄋㄧ3" + ], + "𩯰": [ + "ㄐㄧㄝ2", + "ㄐㄧ4" + ], + "𩯱": [ + "ㄆㄨ2" + ], + "𩯲": [ + "ㄓㄨㄤ4" + ], + "𩯳": [ + "ㄗㄢ4", + "ㄗㄨㄢ3", + "ㄗㄚ1" + ], + "𩯺": [ + "ㄌㄧ4" + ], + "𩯽": [ + "ㄌㄚ4" + ], + "𩰀": [ + "ㄔㄨㄥ1" + ], + "𩰃": [ + "ㄓㄢ4" + ], + "𩰍": [ + "ㄅㄧㄢ4" + ], + "𩰎": [ + "ㄨㄥ1" + ], + "𩰓": [ + "ㄏㄨㄥ4" + ], + "𩰗": [ + "ㄆㄧㄣ1" + ], + "𩰙": [ + "ㄙㄜ4" + ], + "𩰞": [ + "ㄋㄧ3" + ], + "𩰟": [ + "ㄈㄣ1" + ], + "𩰠": [ + "ㄒㄩ3" + ], + "𩰢": [ + "ㄕ3" + ], + "𩰤": [ + "ㄐㄩ4" + ], + "𩰨": [ + "ㄐㄩㄝ2" + ], + "𩰪": [ + "ㄩ4" + ], + "𩰬": [ + "ㄍㄨㄛ1", + "ㄨㄞ1" + ], + "𩰭": [ + "ㄍㄨㄛ1" + ], + "𩰯": [ + "ㄏㄨ2" + ], + "𩰲": [ + "ㄌㄧ4", + "ㄈㄟ4" + ], + "𩰳": [ + "ㄒㄧㄝ2" + ], + "𩰴": [ + "ㄦ2" + ], + "𩰵": [ + "ㄩㄢ2" + ], + "𩰶": [ + "ㄏㄞ2", + "ㄅㄣ4" + ], + "𩰹": [ + "ㄐㄧㄥ4" + ], + "𩰻": [ + "ㄎㄜ4" + ], + "𩰽": [ + "ㄗㄨㄥ1" + ], + "𩰾": [ + "ㄈㄟ4" + ], + "𩱀": [ + "ㄆㄥ1" + ], + "𩱁": [ + "ㄍㄥ1" + ], + "𩱃": [ + "ㄐㄧㄢ1" + ], + "𩱄": [ + "ㄋㄧ2" + ], + "𩱆": [ + "ㄒㄧㄢ2" + ], + "𩱇": [ + "ㄌㄧ4" + ], + "𩱈": [ + "ㄔㄠ3" + ], + "𩱊": [ + "ㄦ2", + "ㄒㄧㄢ4" + ], + "𩱋": [ + "ㄍㄥ1", + "ㄆㄥ1" + ], + "𩱌": [ + "ㄩ4" + ], + "𩱍": [ + "ㄏㄨ2" + ], + "𩱎": [ + "ㄈㄟ4" + ], + "𩱏": [ + "ㄠ2" + ], + "𩱓": [ + "ㄦ3" + ], + "𩱘": [ + "ㄎㄜ4" + ], + "𩱙": [ + "ㄎㄨ4" + ], + "𩱚": [ + "ㄅㄛ2" + ], + "𩱝": [ + "ㄧㄝ4" + ], + "𩱞": [ + "ㄐㄧㄠ4" + ], + "𩱦": [ + "ㄔㄠ3" + ], + "𩱧": [ + "ㄍㄥ1" + ], + "𩱨": [ + "ㄖㄨ4" + ], + "𩱪": [ + "ㄩㄝ4" + ], + "𩱬": [ + "ㄌㄧㄣ2" + ], + "𩱱": [ + "ㄩ4" + ], + "𩱲": [ + "ㄩㄝ4" + ], + "𩱳": [ + "ㄓㄞ1" + ], + "𩱴": [ + "ㄒㄧㄠ1" + ], + "𩱷": [ + "ㄇㄧㄝ4" + ], + "𩱻": [ + "ㄍㄨㄟ3" + ], + "𩱼": [ + "ㄐㄧㄡ1" + ], + "𩱾": [ + "ㄊㄨㄛ4" + ], + "𩲁": [ + "ㄒㄧ2" + ], + "𩲂": [ + "ㄨㄟ3" + ], + "𩲃": [ + "ㄓㄨㄛ2" + ], + "𩲄": [ + "ㄨㄟ4" + ], + "𩲅": [ + "ㄎㄨㄟ2" + ], + "𩲈": [ + "ㄇㄟ4", + "ㄨㄟ2" + ], + "𩲊": [ + "ㄏㄠ4" + ], + "𩲋": [ + "ㄏㄤ1" + ], + "𩲌": [ + "ㄈㄤ1" + ], + "𩲍": [ + "ㄋㄧㄡ2" + ], + "𩲎": [ + "ㄧㄡ4" + ], + "𩲏": [ + "ㄏㄨㄚ4" + ], + "𩲒": [ + "ㄌㄤ4" + ], + "𩲠": [ + "ㄓㄨ2" + ], + "𩲡": [ + "ㄍㄨㄟ3" + ], + "𩲢": [ + "ㄅㄧ4", + "ㄇㄟ4" + ], + "𩲣": [ + "ㄐㄧㄚ3" + ], + "𩲤": [ + "ㄊㄧㄠ2" + ], + "𩲦": [ + "ㄌㄩ4" + ], + "𩲧": [ + "ㄎㄨㄥ3" + ], + "𩲨": [ + "ㄗㄨㄟ3" + ], + "𩲩": [ + "ㄌㄧㄥ2" + ], + "𩲪": [ + "ㄑㄧ2" + ], + "𩲬": [ + "ㄓㄨ2" + ], + "𩲱": [ + "ㄍㄨ3" + ], + "𩲲": [ + "ㄗㄨ4" + ], + "𩲴": [ + "ㄧㄤ1" + ], + "𩲵": [ + "ㄙㄨ1" + ], + "𩲷": [ + "ㄎㄨㄟ2" + ], + "𩲹": [ + "ㄔㄤ1" + ], + "𩲻": [ + "ㄧㄠ2" + ], + "𩲾": [ + "ㄩ4" + ], + "𩳅": [ + "ㄕㄨ1" + ], + "𩳆": [ + "ㄌㄞ4" + ], + "𩳇": [ + "ㄧ4" + ], + "𩳈": [ + "ㄉㄡ1" + ], + "𩳌": [ + "ㄨ2" + ], + "𩳍": [ + "ㄧㄥ3" + ], + "𩳎": [ + "ㄈㄨ2" + ], + "𩳏": [ + "ㄓㄨㄢ4" + ], + "𩳐": [ + "ㄈㄨ3" + ], + "𩳒": [ + "ㄙㄨ4" + ], + "𩳓": [ + "ㄌㄧ3" + ], + "𩳔": [ + "ㄧㄠ4" + ], + "𩳕": [ + "ㄊㄨㄟ4", + "ㄊㄧ4" + ], + "𩳝": [ + "ㄍㄨㄟ4" + ], + "𩳡": [ + "ㄌㄩ4" + ], + "𩳢": [ + "ㄧㄢ4" + ], + "𩳣": [ + "ㄑㄧ2" + ], + "𩳤": [ + "ㄌㄤ4", + "ㄔㄤ1" + ], + "𩳥": [ + "ㄓㄨ2" + ], + "𩳧": [ + "ㄍㄨㄟ3" + ], + "𩳨": [ + "ㄏㄨ1" + ], + "𩳯": [ + "ㄐㄧㄥ1" + ], + "𩳲": [ + "ㄔ3" + ], + "𩳵": [ + "ㄐㄩ2" + ], + "𩳶": [ + "ㄓㄚ2" + ], + "𩳸": [ + "ㄇㄧㄠ2" + ], + "𩴀": [ + "ㄓㄨ1" + ], + "𩴁": [ + "ㄍㄢ1" + ], + "𩴂": [ + "ㄒㄩㄥ1" + ], + "𩴃": [ + "ㄐㄧ2" + ], + "𩴇": [ + "ㄕㄞ4" + ], + "𩴈": [ + "ㄇㄟ4" + ], + "𩴉": [ + "ㄩㄣ4" + ], + "𩴍": [ + "ㄕㄡ4" + ], + "𩴐": [ + "ㄌㄩ4" + ], + "𩴑": [ + "ㄧㄡ4" + ], + "𩴒": [ + "ㄐㄧㄤ4" + ], + "𩴓": [ + "ㄋㄨㄛ2" + ], + "𩴘": [ + "ㄐㄩ4" + ], + "𩴙": [ + "ㄧㄡ4" + ], + "𩴜": [ + "ㄧ4" + ], + "𩴝": [ + "ㄊㄥ2" + ], + "𩴞": [ + "ㄨㄟ2" + ], + "𩴟": [ + "ㄔㄜ3" + ], + "𩴠": [ + "ㄌㄧㄣ4" + ], + "𩴡": [ + "ㄍㄨ4" + ], + "𩴣": [ + "ㄌㄧ4" + ], + "𩴤": [ + "ㄌㄧㄠ4" + ], + "𩴧": [ + "ㄐㄧㄠ1" + ], + "𩴨": [ + "ㄧㄤ2" + ], + "𩴩": [ + "ㄅㄧㄠ1" + ], + "𩴪": [ + "ㄑㄧ2" + ], + "𩴮": [ + "ㄧ4" + ], + "𩴱": [ + "ㄅㄧㄣ1" + ], + "𩴲": [ + "ㄇㄥ2" + ], + "𩴳": [ + "ㄔㄚ4" + ], + "𩴵": [ + "ㄍㄢ1" + ], + "𩴹": [ + "ㄑㄩ2" + ], + "𩴺": [ + "ㄉㄧ2" + ], + "𩴻": [ + "ㄌㄟ2" + ], + "𩵀": [ + "ㄌㄧㄥ2" + ], + "𩵄": [ + "ㄏㄨㄢ1" + ], + "𩵅": [ + "ㄑㄩ2" + ], + "𩵇": [ + "ㄌㄨㄛ2" + ], + "𩵉": [ + "ㄎㄨㄟ2" + ], + "𩵍": [ + "ㄑㄧㄡ2" + ], + "𩵎": [ + "ㄩ3", + "ㄩ2" + ], + "𩵏": [ + "ㄏㄨㄚ4" + ], + "𩵓": [ + "ㄌㄟ4" + ], + "𩵕": [ + "ㄖㄣ4", + "ㄉㄠ1" + ], + "𩵖": [ + "ㄒㄧㄠ3" + ], + "𩵗": [ + "ㄙ4" + ], + "𩵚": [ + "ㄉㄨ4" + ], + "𩵛": [ + "ㄅㄧㄝ1" + ], + "𩵠": [ + "ㄋㄧㄡ2", + "ㄨㄟ3" + ], + "𩵢": [ + "ㄏㄜ4", + "ㄗㄚ1" + ], + "𩵣": [ + "ㄆㄟ1" + ], + "𩵥": [ + "ㄈㄟ4" + ], + "𩵦": [ + "ㄇㄨ4" + ], + "𩵩": [ + "ㄈㄨ1" + ], + "𩵬": [ + "ㄏㄨ2" + ], + "𩵭": [ + "ㄨㄤ2" + ], + "𩵮": [ + "ㄕㄚ1", + "ㄒㄧㄠ3" + ], + "𩵰": [ + "ㄐㄧㄠ1", + "ㄑㄧㄡ1" + ], + "𩵱": [ + "ㄨ3" + ], + "𩵹": [ + "ㄈㄨ4" + ], + "𩶁": [ + "ㄅㄧㄥ3" + ], + "𩶂": [ + "ㄓㄨ4" + ], + "𩶄": [ + "ㄓㄨ2" + ], + "𩶅": [ + "ㄔ1" + ], + "𩶇": [ + "ㄕㄣ3" + ], + "𩶈": [ + "ㄏㄨ1" + ], + "𩶉": [ + "ㄅㄨ1" + ], + "𩶎": [ + "ㄖㄢ3" + ], + "𩶖": [ + "ㄇㄨ4" + ], + "𩶘": [ + "ㄌㄧ4" + ], + "𩶛": [ + "ㄐㄧㄚ1" + ], + "𩶞": [ + "ㄇㄚ4", + "ㄏㄤ2" + ], + "𩶡": [ + "ㄇㄥ2" + ], + "𩶢": [ + "ㄇㄡ2" + ], + "𩶣": [ + "ㄓㄡ1" + ], + "𩶤": [ + "ㄒㄧㄢ3" + ], + "𩶥": [ + "ㄏㄨㄟ3", + "ㄏㄨㄥ2" + ], + "𩶦": [ + "ㄍㄨㄞ4" + ], + "𩶧": [ + "ㄐㄧㄡ4" + ], + "𩶩": [ + "ㄇㄨ4" + ], + "𩶫": [ + "ㄖㄨ4", + "ㄒㄩㄝ4" + ], + "𩶭": [ + "ㄨ2" + ], + "𩶯": [ + "ㄖㄨ2" + ], + "𩶱": [ + "ㄓㄚ4" + ], + "𩷁": [ + "ㄋㄨㄛ3" + ], + "𩷂": [ + "ㄒㄧㄝ2" + ], + "𩷄": [ + "ㄐㄧㄤ4" + ], + "𩷋": [ + "ㄌㄧ3" + ], + "𩷌": [ + "ㄕㄨ1" + ], + "𩷍": [ + "ㄧ4" + ], + "𩷎": [ + "ㄉㄧ2" + ], + "𩷏": [ + "ㄑㄧㄥ2" + ], + "𩷐": [ + "ㄐㄩ2" + ], + "𩷓": [ + "ㄓ4" + ], + "𩷕": [ + "ㄌㄤ2" + ], + "𩷖": [ + "ㄅㄨ4" + ], + "𩷗": [ + "ㄎㄨㄤ2" + ], + "𩷘": [ + "ㄧ4" + ], + "𩷚": [ + "ㄅㄛ2" + ], + "𩷧": [ + "ㄔ4" + ], + "𩷭": [ + "ㄐㄧㄤ4" + ], + "𩷯": [ + "ㄨㄛ4" + ], + "𩷰": [ + "ㄒㄩㄣ4" + ], + "𩷵": [ + "ㄊㄨㄣ1" + ], + "𩷶": [ + "ㄇㄤ2" + ], + "𩷸": [ + "ㄈㄤ2" + ], + "𩷹": [ + "ㄓㄨㄛ2" + ], + "𩷻": [ + "ㄑㄧㄚ4" + ], + "𩷽": [ + "ㄊㄚ3" + ], + "𩷾": [ + "ㄑㄧ2" + ], + "𩸀": [ + "ㄆㄥ4" + ], + "𩸁": [ + "ㄅㄧㄝ1" + ], + "𩸂": [ + "ㄈㄣ4", + "ㄆㄣ4" + ], + "𩸃": [ + "ㄊㄨ4" + ], + "𩸄": [ + "ㄏㄨㄚ4" + ], + "𩸇": [ + "ㄜ4" + ], + "𩸋": [ + "ㄜ4", + "ㄧㄚ1" + ], + "𩸎": [ + "ㄉㄧㄥ4" + ], + "𩸐": [ + "ㄖㄨ2" + ], + "𩸖": [ + "ㄜ4" + ], + "𩸞": [ + "ㄧㄢ4", + "ㄑㄧ2" + ], + "𩸟": [ + "ㄙ4" + ], + "𩸥": [ + "ㄧㄥ2" + ], + "𩸦": [ + "ㄋㄧ2" + ], + "𩸧": [ + "ㄋㄧ2" + ], + "𩸨": [ + "ㄧ2" + ], + "𩸹": [ + "ㄇㄧ2" + ], + "𩸾": [ + "ㄧㄝ2" + ], + "𩸿": [ + "ㄆㄛ1" + ], + "𩹀": [ + "ㄘㄡ4" + ], + "𩹂": [ + "ㄨㄟ4" + ], + "𩹄": [ + "ㄏㄞ4" + ], + "𩹅": [ + "ㄧㄥ1" + ], + "𩹇": [ + "ㄊㄧㄥ2" + ], + "𩹈": [ + "ㄓ4" + ], + "𩹉": [ + "ㄈㄟ1" + ], + "𩹊": [ + "ㄧㄡ2" + ], + "𩹍": [ + "ㄎㄨㄟ2" + ], + "𩹎": [ + "ㄢ4" + ], + "𩹏": [ + "ㄅㄚ4" + ], + "𩹑": [ + "ㄏㄢ4" + ], + "𩹞": [ + "ㄋㄢ2" + ], + "𩹟": [ + "ㄋㄞ4" + ], + "𩹢": [ + "ㄐㄧㄥ1" + ], + "𩹥": [ + "ㄨㄟ1" + ], + "𩹱": [ + "ㄔㄨ4" + ], + "𩹳": [ + "ㄙㄨㄛ3" + ], + "𩹴": [ + "ㄊㄠ1" + ], + "𩹵": [ + "ㄑㄧ2" + ], + "𩹶": [ + "ㄊㄤ2" + ], + "𩹷": [ + "ㄨㄟ3" + ], + "𩹸": [ + "ㄍㄢ3" + ], + "𩹺": [ + "ㄍㄜ2" + ], + "𩹼": [ + "ㄏㄢ4" + ], + "𩹾": [ + "ㄋㄚ4" + ], + "𩹿": [ + "ㄍㄜ2" + ], + "𩺄": [ + "ㄓㄥ1" + ], + "𩺗": [ + "ㄊㄚ3", + "ㄉㄚ2" + ], + "𩺛": [ + "ㄙ1" + ], + "𩺝": [ + "ㄋㄧ4" + ], + "𩺞": [ + "ㄙㄤ3" + ], + "𩺫": [ + "ㄒㄧㄝ2" + ], + "𩺯": [ + "ㄗㄨ2" + ], + "𩺰": [ + "ㄩ2", + "ㄨ2" + ], + "𩺱": [ + "ㄋㄧ4" + ], + "𩺲": [ + "ㄑㄧ1" + ], + "𩺵": [ + "ㄕㄣ1" + ], + "𩺼": [ + "ㄅㄨ1" + ], + "𩻋": [ + "ㄎㄨㄣ1" + ], + "𩻌": [ + "ㄌㄧ2" + ], + "𩻎": [ + "ㄍㄨㄚ1" + ], + "𩻖": [ + "ㄧㄢ3" + ], + "𩻗": [ + "ㄅㄨ4" + ], + "𩻘": [ + "ㄐㄧㄢ4" + ], + "𩻚": [ + "ㄨ2" + ], + "𩻛": [ + "ㄘㄣ2", + "ㄐㄧㄣ1" + ], + "𩻜": [ + "ㄌㄧㄣ2" + ], + "𩻝": [ + "ㄓㄨㄢ4" + ], + "𩻟": [ + "ㄏㄨㄟ1" + ], + "𩻡": [ + "ㄊㄨㄥ2" + ], + "𩻢": [ + "ㄓㄚ3" + ], + "𩻤": [ + "ㄏㄟ1" + ], + "𩻧": [ + "ㄍㄨㄛ3" + ], + "𩻱": [ + "ㄐㄧㄥ3" + ], + "𩻵": [ + "ㄉㄧㄝ2" + ], + "𩻷": [ + "ㄧㄥ2" + ], + "𩻼": [ + "ㄓ4" + ], + "𩼂": [ + "ㄨㄟ3" + ], + "𩼄": [ + "ㄐㄧ4" + ], + "𩼅": [ + "ㄖㄨㄥ3" + ], + "𩼈": [ + "ㄠ4", + "ㄧㄡ3" + ], + "𩼉": [ + "ㄉㄤ1", + "ㄏㄢ1" + ], + "𩼊": [ + "ㄌㄨㄛ2" + ], + "𩼋": [ + "ㄧㄝ4" + ], + "𩼌": [ + "ㄨㄟ1" + ], + "𩼒": [ + "ㄑㄧㄤ2" + ], + "𩼙": [ + "ㄍㄜ2" + ], + "𩼚": [ + "ㄐㄧ4" + ], + "𩼦": [ + "ㄗㄡ4" + ], + "𩼨": [ + "ㄧ2" + ], + "𩼫": [ + "ㄓㄚ3" + ], + "𩼭": [ + "ㄌㄧㄝ4" + ], + "𩼴": [ + "ㄧㄝ4" + ], + "𩼼": [ + "ㄓㄢ1" + ], + "𩽀": [ + "ㄔㄡ2" + ], + "𩽁": [ + "ㄅㄧㄠ1" + ], + "𩽆": [ + "ㄒㄩ4" + ], + "𩽇": [ + "ㄧㄡ1" + ], + "𩽍": [ + "ㄒㄧㄝ4" + ], + "𩽎": [ + "ㄨㄟ2" + ], + "𩽏": [ + "ㄌㄧ4" + ], + "𩽛": [ + "ㄅㄛ2" + ], + "𩽜": [ + "ㄐㄧㄢ3" + ], + "𩽝": [ + "ㄔㄢ2" + ], + "𩽞": [ + "ㄎㄨㄣ1" + ], + "𩽡": [ + "ㄑㄧㄥ2" + ], + "𩽧": [ + "ㄕㄨㄤ1" + ], + "𩽨": [ + "ㄒㄧ1" + ], + "𩽩": [ + "ㄑㄩ2" + ], + "𩽰": [ + "ㄌㄨㄛ2" + ], + "𩽳": [ + "ㄉㄤ3" + ], + "𩽴": [ + "ㄋㄧㄢ2" + ], + "𩽵": [ + "ㄌㄧ3" + ], + "𩽷": [ + "ㄅㄚ4" + ], + "𩽹": [ + "ㄜ4" + ], + "𩽺": [ + "ㄈㄨ1" + ], + "𩽻": [ + "ㄈㄨ4" + ], + "𩽼": [ + "ㄏㄨㄣ3" + ], + "𩽽": [ + "ㄓㄚ4" + ], + "𩽾": [ + "ㄢ1" + ], + "𩾁": [ + "ㄑㄧㄡ2" + ], + "𩾂": [ + "ㄔㄡ2" + ], + "𩾃": [ + "ㄇㄧㄢ3" + ], + "𩾄": [ + "ㄒㄩㄣ4" + ], + "𩾅": [ + "ㄊㄨ4" + ], + "𩾆": [ + "ㄋㄧ2" + ], + "𩾇": [ + "ㄏㄨ5" + ], + "𩾈": [ + "ㄕㄨ1" + ], + "𩾊": [ + "ㄒㄩ1" + ], + "𩾋": [ + "ㄓㄨㄥ4" + ], + "𩾌": [ + "ㄎㄤ1" + ], + "𩾒": [ + "ㄒㄧㄠ1" + ], + "𩾓": [ + "ㄒㄧㄠ1" + ], + "𩾔": [ + "ㄘ4" + ], + "𩾕": [ + "ㄔ4" + ], + "𩾗": [ + "ㄉㄧㄠ1", + "ㄐㄧㄠ1" + ], + "𩾘": [ + "ㄧ4" + ], + "𩾚": [ + "ㄉㄧㄥ1" + ], + "𩾝": [ + "ㄏㄢ4", + "ㄧㄢ4" + ], + "𩾞": [ + "ㄨㄢ2" + ], + "𩾠": [ + "ㄧ3" + ], + "𩾡": [ + "ㄅㄠ4" + ], + "𩾢": [ + "ㄧ4", + "ㄩㄢ1" + ], + "𩾧": [ + "ㄒㄩㄣ4" + ], + "𩾬": [ + "ㄒㄧㄤ2" + ], + "𩾳": [ + "ㄅㄧ2" + ], + "𩾶": [ + "ㄐㄧㄝ2" + ], + "𩾷": [ + "ㄍㄜ1" + ], + "𩾸": [ + "ㄗㄜ4", + "ㄧㄢ4" + ], + "𩾺": [ + "ㄓㄣ4" + ], + "𩾻": [ + "ㄏㄨ2" + ], + "𩾼": [ + "ㄒㄧ1" + ], + "𩾽": [ + "ㄒㄧㄣ1" + ], + "𩾾": [ + "ㄒㄧㄠ1", + "ㄐㄧㄠ1" + ], + "𩾿": [ + "ㄈㄨ4" + ], + "𩿀": [ + "ㄓㄨㄥ4" + ], + "𩿂": [ + "ㄇㄠ4" + ], + "𩿃": [ + "ㄒㄧㄣ1" + ], + "𩿄": [ + "ㄑㄧㄤ1" + ], + "𩿈": [ + "ㄈㄣ2", + "ㄈㄣ1" + ], + "𩿉": [ + "ㄅㄢ1" + ], + "𩿊": [ + "ㄏㄨㄢ1" + ], + "𩿑": [ + "ㄐㄧㄠ1" + ], + "𩿓": [ + "ㄅㄠ4" + ], + "𩿔": [ + "ㄧㄚ1" + ], + "𩿕": [ + "ㄧㄠ2" + ], + "𩿛": [ + "ㄒㄧ4" + ], + "𩿝": [ + "ㄐㄩ4" + ], + "𩿟": [ + "ㄑㄩ4" + ], + "𩿠": [ + "ㄩㄝ4" + ], + "𩿡": [ + "ㄊㄞ2" + ], + "𩿢": [ + "ㄊㄡ3" + ], + "𩿣": [ + "ㄇㄛ4" + ], + "𩿤": [ + "ㄓㄚ2" + ], + "𩿥": [ + "ㄑㄩ2" + ], + "𩿧": [ + "ㄈㄨ1" + ], + "𩿩": [ + "ㄑㄩ2", + "ㄉㄨㄛ2" + ], + "𩿪": [ + "ㄔ4" + ], + "𩿬": [ + "ㄧㄡ2" + ], + "𩿷": [ + "ㄊㄧ2" + ], + "𩿺": [ + "ㄨㄚ1" + ], + "𩿽": [ + "ㄊㄨㄛ2" + ], + "𩿿": [ + "ㄔㄨ2" + ], + "𪀁": [ + "ㄍㄜ1" + ], + "𪀈": [ + "ㄩㄢ1" + ], + "𪀉": [ + "ㄍㄜ1", + "ㄎㄜ3" + ], + "𪀊": [ + "ㄑㄩ2" + ], + "𪀏": [ + "ㄐㄩ4", + "ㄐㄧㄡ1" + ], + "𪀒": [ + "ㄉㄧㄝ2" + ], + "𪀓": [ + "ㄧ2" + ], + "𪀔": [ + "ㄕ1" + ], + "𪀕": [ + "ㄧ4" + ], + "𪀗": [ + "ㄍㄨㄟ3" + ], + "𪀘": [ + "ㄐㄧㄤ4" + ], + "𪀚": [ + "ㄙㄨㄥ1" + ], + "𪀛": [ + "ㄑㄩㄥ2" + ], + "𪀝": [ + "ㄜ4", + "ㄩㄢ1" + ], + "𪀞": [ + "ㄏㄨㄤ1" + ], + "𪀟": [ + "ㄏㄨㄟ2" + ], + "𪀠": [ + "ㄒㄩㄣ2" + ], + "𪀣": [ + "ㄐㄩ2" + ], + "𪀥": [ + "ㄓㄞ2" + ], + "𪀦": [ + "ㄔ4" + ], + "𪀧": [ + "ㄌㄠ3" + ], + "𪀩": [ + "ㄑㄧ2", + "ㄉㄢ4", + "ㄔㄨ2" + ], + "𪀪": [ + "ㄒㄧㄡ1" + ], + "𪀬": [ + "ㄏㄨㄟ1" + ], + "𪀭": [ + "ㄊㄨㄥ2" + ], + "𪀺": [ + "ㄈㄨ4" + ], + "𪀽": [ + "ㄒㄩㄣ2", + "ㄒㄧㄣ1" + ], + "𪀾": [ + "ㄐㄧㄝ2" + ], + "𪀿": [ + "ㄇㄧ3" + ], + "𪁀": [ + "ㄩ4" + ], + "𪁈": [ + "ㄓㄨㄤ1", + "ㄓㄨㄤ4" + ], + "𪁉": [ + "ㄐㄧㄠ1" + ], + "𪁊": [ + "ㄓ4", + "ㄓㄜ2" + ], + "𪁋": [ + "ㄔㄥ2" + ], + "𪁍": [ + "ㄐㄧㄝ2" + ], + "𪁎": [ + "ㄒㄧㄠ1" + ], + "𪁏": [ + "ㄔㄣ2" + ], + "𪁐": [ + "ㄌㄧ2" + ], + "𪁑": [ + "ㄩㄝ4" + ], + "𪁓": [ + "ㄓ4" + ], + "𪁔": [ + "ㄌㄠ2" + ], + "𪁕": [ + "ㄨㄛ4" + ], + "𪁖": [ + "ㄑㄩ2" + ], + "𪁘": [ + "ㄨㄤ1" + ], + "𪁚": [ + "ㄧ1" + ], + "𪁛": [ + "ㄧ4" + ], + "𪁜": [ + "ㄌㄤ2" + ], + "𪁞": [ + "ㄊㄡ2" + ], + "𪁟": [ + "ㄢ1", + "ㄏㄢ4" + ], + "𪁠": [ + "ㄐㄩㄝ2" + ], + "𪁡": [ + "ㄧㄢ4" + ], + "𪁥": [ + "ㄐㄩ4" + ], + "𪁧": [ + "ㄓㄣ4", + "ㄔㄣ2" + ], + "𪁩": [ + "ㄓ4", + "ㄊㄧ2" + ], + "𪁪": [ + "ㄇㄤ3" + ], + "𪁮": [ + "ㄒㄧㄡ4" + ], + "𪁱": [ + "ㄔㄨㄤ2" + ], + "𪁲": [ + "ㄔㄨ1" + ], + "𪁸": [ + "ㄑㄧㄤ1" + ], + "𪁹": [ + "ㄈㄟ1" + ], + "𪁺": [ + "ㄔㄤ2", + "ㄔㄤ3" + ], + "𪁼": [ + "ㄇㄧㄢ2" + ], + "𪁽": [ + "ㄙㄨ4" + ], + "𪁾": [ + "ㄠ3", + "ㄨㄛ4" + ], + "𪂀": [ + "ㄈㄨ3" + ], + "𪂄": [ + "ㄨㄟ4" + ], + "𪂅": [ + "ㄓ1" + ], + "𪂆": [ + "ㄇㄧㄣ2" + ], + "𪂇": [ + "ㄔㄤ1" + ], + "𪂈": [ + "ㄧㄢ2" + ], + "𪂉": [ + "ㄩ4" + ], + "𪂋": [ + "ㄈㄨ4" + ], + "𪂌": [ + "ㄊㄚ4" + ], + "𪂍": [ + "ㄐㄧ3" + ], + "𪂏": [ + "ㄈㄟ4" + ], + "𪂒": [ + "ㄏㄨ2" + ], + "𪂓": [ + "ㄐㄩ1" + ], + "𪂕": [ + "ㄩ3" + ], + "𪂛": [ + "ㄑㄧ2" + ], + "𪂜": [ + "ㄇㄟ2" + ], + "𪂟": [ + "ㄅㄧㄝ1" + ], + "𪂠": [ + "ㄍㄨㄛ3" + ], + "𪂤": [ + "ㄇㄧㄥ4" + ], + "𪂦": [ + "ㄨㄢ3", + "ㄩㄢ1" + ], + "𪂧": [ + "ㄨㄢ3" + ], + "𪂴": [ + "ㄐㄧㄥ1" + ], + "𪂵": [ + "ㄩ4" + ], + "𪂶": [ + "ㄒㄧㄢ2" + ], + "𪂹": [ + "ㄔㄨㄣ1" + ], + "𪂺": [ + "ㄐㄧ2" + ], + "𪂼": [ + "ㄒㄧㄤ1" + ], + "𪂽": [ + "ㄆㄣ2" + ], + "𪂾": [ + "ㄈㄨ4" + ], + "𪃂": [ + "ㄌㄧㄡ2" + ], + "𪃄": [ + "ㄙㄞ1" + ], + "𪃅": [ + "ㄒㄩㄝ1" + ], + "𪃆": [ + "ㄗㄡ4" + ], + "𪃈": [ + "ㄐㄧㄝ2" + ], + "𪃋": [ + "ㄓㄢ1", + "ㄐㄧㄢ1" + ], + "𪃍": [ + "ㄩ2" + ], + "𪃎": [ + "ㄩ2" + ], + "𪃏": [ + "ㄇㄟ2" + ], + "𪃐": [ + "ㄇㄧㄠ3" + ], + "𪃑": [ + "ㄇㄠ4" + ], + "𪃒": [ + "ㄉㄨㄛ2" + ], + "𪃓": [ + "ㄈㄨ4" + ], + "𪃛": [ + "ㄐㄧㄢ4" + ], + "𪃦": [ + "ㄇㄧㄠ2" + ], + "𪃨": [ + "ㄠ1" + ], + "𪃭": [ + "ㄎㄜ4" + ], + "𪃶": [ + "ㄏㄡ2" + ], + "𪃺": [ + "ㄍㄡ4" + ], + "𪃼": [ + "ㄒㄧ1" + ], + "𪃾": [ + "ㄖㄨㄥ2" + ], + "𪃿": [ + "ㄍㄜ1" + ], + "𪄀": [ + "ㄆㄢ2" + ], + "𪄁": [ + "ㄩㄢ2" + ], + "𪄂": [ + "ㄒㄧㄚ4" + ], + "𪄅": [ + "ㄕㄚ1" + ], + "𪄆": [ + "ㄆㄧ1", + "ㄆㄧ2" + ], + "𪄈": [ + "ㄑㄧㄥ2" + ], + "𪄉": [ + "ㄩㄥ1" + ], + "𪄊": [ + "ㄑㄩ2" + ], + "𪄌": [ + "ㄍㄨㄥ4" + ], + "𪄎": [ + "ㄍㄜ2" + ], + "𪄏": [ + "ㄒㄧㄢ1" + ], + "𪄑": [ + "ㄙㄨ4" + ], + "𪄕": [ + "ㄅㄢ1" + ], + "𪄖": [ + "ㄑㄧ2" + ], + "𪄗": [ + "ㄏㄡ4" + ], + "𪄛": [ + "ㄒㄧ1" + ], + "𪄝": [ + "ㄨ1" + ], + "𪄭": [ + "ㄑㄧ1" + ], + "𪄮": [ + "ㄏㄨ4", + "ㄍㄨ4" + ], + "𪄯": [ + "ㄍㄨㄟ1" + ], + "𪄱": [ + "ㄉㄧ2" + ], + "𪄲": [ + "ㄕㄤ1" + ], + "𪄳": [ + "ㄇㄞ4" + ], + "𪄴": [ + "ㄇㄧㄣ3" + ], + "𪄵": [ + "ㄐㄧ4" + ], + "𪄶": [ + "ㄒㄧ2" + ], + "𪄷": [ + "ㄒㄧㄢ1" + ], + "𪄸": [ + "ㄐㄧ2" + ], + "𪄹": [ + "ㄔㄤ2" + ], + "𪄺": [ + "ㄎㄡ4" + ], + "𪄻": [ + "ㄔㄨㄥ1", + "ㄓㄨㄤ1" + ], + "𪅂": [ + "ㄓㄤ1" + ], + "𪅃": [ + "ㄆㄧㄠ3", + "ㄆㄧㄠ1" + ], + "𪅄": [ + "ㄙㄨ4" + ], + "𪅅": [ + "ㄌㄩㄝ4" + ], + "𪅆": [ + "ㄌㄧ2" + ], + "𪅇": [ + "ㄇㄥ4" + ], + "𪅈": [ + "ㄔㄨㄥ1" + ], + "𪅉": [ + "ㄊㄧㄢ1" + ], + "𪅋": [ + "ㄌㄧㄥ2" + ], + "𪅍": [ + "ㄔ4" + ], + "𪅖": [ + "ㄔㄨㄥ1", + "ㄓㄨㄤ1" + ], + "𪅙": [ + "ㄔ4" + ], + "𪅝": [ + "ㄋㄧㄠ3" + ], + "𪅟": [ + "ㄩㄥ2" + ], + "𪅮": [ + "ㄇㄧ4" + ], + "𪅰": [ + "ㄕㄨ1" + ], + "𪅲": [ + "ㄒㄧ4" + ], + "𪅴": [ + "ㄜ4" + ], + "𪅵": [ + "ㄗ1" + ], + "𪅸": [ + "ㄐㄧㄝ2" + ], + "𪅹": [ + "ㄐㄧ1" + ], + "𪅺": [ + "ㄏㄡ1" + ], + "𪅻": [ + "ㄕㄥ4" + ], + "𪅼": [ + "ㄌㄧ4" + ], + "𪅾": [ + "ㄑㄧ1" + ], + "𪆀": [ + "ㄓㄡ1" + ], + "𪆁": [ + "ㄙ1" + ], + "𪆂": [ + "ㄑㄩ2" + ], + "𪆋": [ + "ㄒㄧㄝ2" + ], + "𪆗": [ + "ㄙ1" + ], + "𪆛": [ + "ㄒㄩ1" + ], + "𪆠": [ + "ㄈㄨ4" + ], + "𪆯": [ + "ㄋㄨㄥ2" + ], + "𪆰": [ + "ㄧㄚ4" + ], + "𪆱": [ + "ㄌㄧㄡ2" + ], + "𪆲": [ + "ㄐㄧㄚ3", + "ㄓㄢ1" + ], + "𪆳": [ + "ㄍㄨㄟ1" + ], + "𪆴": [ + "ㄎㄨㄟ2" + ], + "𪆵": [ + "ㄔ4" + ], + "𪆶": [ + "ㄘㄢ4" + ], + "𪆷": [ + "ㄔㄨ2" + ], + "𪆹": [ + "ㄍㄨㄛ1" + ], + "𪆻": [ + "ㄉㄢ3" + ], + "𪆿": [ + "ㄐㄧㄢ4" + ], + "𪇁": [ + "ㄉㄤ1" + ], + "𪇂": [ + "ㄏㄡ4" + ], + "𪇄": [ + "ㄎㄡ4", + "ㄎㄨ1" + ], + "𪇆": [ + "ㄔㄨ4", + "ㄉㄨ2" + ], + "𪇇": [ + "ㄑㄧㄢ1" + ], + "𪇈": [ + "ㄞ4" + ], + "𪇊": [ + "ㄆㄧ4" + ], + "𪇑": [ + "ㄒㄩㄣ4" + ], + "𪇒": [ + "ㄐㄧㄥ1" + ], + "𪇓": [ + "ㄇㄥ4" + ], + "𪇕": [ + "ㄅㄧㄣ1" + ], + "𪇖": [ + "ㄌㄢ2" + ], + "𪇗": [ + "ㄍㄨ3" + ], + "𪇘": [ + "ㄔㄡ2", + "ㄊㄠ2" + ], + "𪇛": [ + "ㄩㄥ1" + ], + "𪇜": [ + "ㄍㄨㄚ2" + ], + "𪇝": [ + "ㄩ2" + ], + "𪇞": [ + "ㄓㄡ4" + ], + "𪇭": [ + "ㄘㄞ4" + ], + "𪇯": [ + "ㄌㄧㄡ2" + ], + "𪇰": [ + "ㄅㄨ3" + ], + "𪇱": [ + "ㄌㄨㄛ4" + ], + "𪇲": [ + "ㄐㄧㄝ2" + ], + "𪇳": [ + "ㄓㄣ1" + ], + "𪇴": [ + "ㄇㄧㄝ4" + ], + "𪇵": [ + "ㄍㄨㄤ3" + ], + "𪇷": [ + "ㄐㄧㄚ2" + ], + "𪇹": [ + "ㄌㄚ4" + ], + "𪈀": [ + "ㄕㄡ4" + ], + "𪈃": [ + "ㄍㄨㄛ1" + ], + "𪈆": [ + "ㄇㄥ4" + ], + "𪈇": [ + "ㄑㄧㄢ2" + ], + "𪈈": [ + "ㄌㄞ4" + ], + "𪈊": [ + "ㄏㄜ2" + ], + "𪈋": [ + "ㄊㄨㄢ2" + ], + "𪈑": [ + "ㄏㄨㄟ1" + ], + "𪈘": [ + "ㄏㄨㄥ1" + ], + "𪈜": [ + "ㄌㄩ3" + ], + "𪈟": [ + "ㄐㄧㄚ2" + ], + "𪈥": [ + "ㄍㄨㄟ1" + ], + "𪈨": [ + "ㄧ1" + ], + "𪈩": [ + "ㄏㄨㄢ1" + ], + "𪈰": [ + "ㄌㄨㄛ2" + ], + "𪈴": [ + "ㄐㄩㄝ2" + ], + "𪈸": [ + "ㄍㄨㄢ4" + ], + "𪈻": [ + "ㄑㄩㄢ2" + ], + "𪈼": [ + "ㄋㄧㄠ3" + ], + "𪈿": [ + "ㄇㄢ2" + ], + "𪉂": [ + "ㄩㄣ4" + ], + "𪉃": [ + "ㄨㄣ2" + ], + "𪉄": [ + "ㄔ4" + ], + "𪉅": [ + "ㄔ4" + ], + "𪉆": [ + "ㄓ1" + ], + "𪉈": [ + "ㄘ2" + ], + "𪉉": [ + "ㄓㄨㄤ4" + ], + "𪉊": [ + "ㄏㄨㄚ2" + ], + "𪉋": [ + "ㄐㄧㄝ2" + ], + "𪉌": [ + "ㄑㄩ2" + ], + "𪉍": [ + "ㄊㄨ1" + ], + "𪉎": [ + "ㄇㄧㄣ2" + ], + "𪉏": [ + "ㄇㄟ2" + ], + "𪉐": [ + "ㄩ2" + ], + "𪉑": [ + "ㄠ2" + ], + "𪉒": [ + "ㄅㄢ1" + ], + "𪉔": [ + "ㄆㄧ1" + ], + "𪉕": [ + "ㄓㄣ1" + ], + "𪉖": [ + "ㄌㄨ3" + ], + "𪉗": [ + "ㄔ4" + ], + "𪉘": [ + "ㄊㄡ2" + ], + "𪉚": [ + "ㄐㄧㄝ1" + ], + "𪉜": [ + "ㄓㄢ1" + ], + "𪉢": [ + "ㄐㄧㄣ1" + ], + "𪉣": [ + "ㄌㄨ3" + ], + "𪉦": [ + "ㄐㄧㄢ4", + "ㄐㄧㄢ3", + "ㄍㄢ4" + ], + "𪉧": [ + "ㄊㄢ4" + ], + "𪉨": [ + "ㄔㄤ1" + ], + "𪉪": [ + "ㄘ4" + ], + "𪉭": [ + "ㄨㄞ1" + ], + "𪉮": [ + "ㄘㄡ4" + ], + "𪉯": [ + "ㄎㄢ4" + ], + "𪉱": [ + "ㄅㄧㄢ4" + ], + "𪉸": [ + "ㄨㄣ1" + ], + "𪉻": [ + "ㄑㄧㄢ1" + ], + "𪉿": [ + "ㄍㄢ4" + ], + "𪊂": [ + "ㄏㄨㄟ4" + ], + "𪊄": [ + "ㄍㄢ3", + "ㄍㄢ4" + ], + "𪊆": [ + "ㄐㄧ4" + ], + "𪊇": [ + "ㄍㄢ4", + "ㄊㄢ4" + ], + "𪊉": [ + "ㄏㄨㄞ2" + ], + "𪊍": [ + "ㄙ4" + ], + "𪊐": [ + "ㄈㄨ1" + ], + "𪊕": [ + "ㄆㄧ2" + ], + "𪊗": [ + "ㄘㄚ1" + ], + "𪊜": [ + "ㄅㄣ4" + ], + "𪊢": [ + "ㄕ2", + "ㄕ3" + ], + "𪊥": [ + "ㄏㄨㄢ2" + ], + "𪊧": [ + "ㄍㄨㄟ1" + ], + "𪊪": [ + "ㄡ3" + ], + "𪊳": [ + "ㄆㄠ2" + ], + "𪊵": [ + "ㄧㄥ3" + ], + "𪊶": [ + "ㄊㄧㄥ3" + ], + "𪊷": [ + "ㄒㄧㄠ4" + ], + "𪊹": [ + "ㄓㄨ4" + ], + "𪊻": [ + "ㄩ2" + ], + "𪋁": [ + "ㄐㄧㄢ4" + ], + "𪋄": [ + "ㄑㄩ3" + ], + "𪋅": [ + "ㄨㄢ3" + ], + "𪋆": [ + "ㄎㄨㄣ1" + ], + "𪋇": [ + "ㄓㄨㄟ1" + ], + "𪋉": [ + "ㄩ4" + ], + "𪋊": [ + "ㄍㄨㄛ3" + ], + "𪋋": [ + "ㄆㄧㄥ2" + ], + "𪋌": [ + "ㄗㄨㄟ3" + ], + "𪋍": [ + "ㄗㄨ2" + ], + "𪋏": [ + "ㄓㄨ1" + ], + "𪋐": [ + "ㄋㄨㄢ4" + ], + "𪋑": [ + "ㄓㄨ1" + ], + "𪋖": [ + "ㄆㄧㄠ1" + ], + "𪋗": [ + "ㄇㄧ2" + ], + "𪋜": [ + "ㄅㄧ4" + ], + "𪋝": [ + "ㄙㄨ4" + ], + "𪋡": [ + "ㄆㄨ2" + ], + "𪋢": [ + "ㄇㄧ2" + ], + "𪋫": [ + "ㄧㄝ4" + ], + "𪋬": [ + "ㄩ3" + ], + "𪋮": [ + "ㄩ4" + ], + "𪋰": [ + "ㄓㄨ3" + ], + "𪋳": [ + "ㄌㄧㄥ2" + ], + "𪋺": [ + "ㄋㄡ4" + ], + "𪋾": [ + "ㄌㄧㄥ2" + ], + "𪌀": [ + "ㄌㄧㄠ3" + ], + "𪌂": [ + "ㄊㄨㄛ1" + ], + "𪌄": [ + "ㄅㄧ3" + ], + "𪌅": [ + "ㄋㄚ4" + ], + "𪌆": [ + "ㄑㄩ2" + ], + "𪌈": [ + "ㄆㄧ2" + ], + "𪌉": [ + "ㄉㄡ3" + ], + "𪌊": [ + "ㄋㄧㄝ4" + ], + "𪌋": [ + "ㄊㄨㄣ2" + ], + "𪌍": [ + "ㄐㄧ1" + ], + "𪌏": [ + "ㄌㄧㄥ2" + ], + "𪌓": [ + "ㄎㄨ4" + ], + "𪌔": [ + "ㄙㄨ4" + ], + "𪌘": [ + "ㄊㄡ3" + ], + "𪌞": [ + "ㄋㄞ2" + ], + "𪌟": [ + "ㄗㄜ2" + ], + "𪌢": [ + "ㄊㄨㄥ3" + ], + "𪌣": [ + "ㄍㄜ2" + ], + "𪌤": [ + "ㄉㄨㄟ1" + ], + "𪌧": [ + "ㄐㄧㄝ2" + ], + "𪌩": [ + "ㄊㄧㄢ2" + ], + "𪌪": [ + "ㄊㄧㄠ4" + ], + "𪌫": [ + "ㄔ2" + ], + "𪌬": [ + "ㄑㄩ1", + "ㄔㄠ3" + ], + "𪌮": [ + "ㄕㄚ1", + "ㄙㄨㄛ1" + ], + "𪌰": [ + "ㄅㄛ2" + ], + "𪌱": [ + "ㄌㄧ2" + ], + "𪌳": [ + "ㄌㄨㄛ4" + ], + "𪌵": [ + "ㄌㄧㄠ2" + ], + "𪌶": [ + "ㄕㄨ4" + ], + "𪌷": [ + "ㄉㄥ3" + ], + "𪌹": [ + "ㄔ1" + ], + "𪌺": [ + "ㄇㄧㄝ4" + ], + "𪌼": [ + "ㄊㄠ2" + ], + "𪌽": [ + "ㄏㄨㄣ2" + ], + "𪌿": [ + "ㄋㄧㄝ2" + ], + "𪍁": [ + "ㄐㄩㄣ4" + ], + "𪍂": [ + "ㄏㄨ4" + ], + "𪍄": [ + "ㄌㄨ4" + ], + "𪍅": [ + "ㄧㄝ4" + ], + "𪍇": [ + "ㄇㄛ4", + "ㄔㄠ3", + "ㄇㄞ4" + ], + "𪍈": [ + "ㄔㄠ4" + ], + "𪍌": [ + "ㄙㄨㄛ4" + ], + "𪍎": [ + "ㄎㄜ1" + ], + "𪍏": [ + "ㄈㄨ4" + ], + "𪍑": [ + "ㄔㄠ3" + ], + "𪍔": [ + "ㄙㄨㄛ3" + ], + "𪍗": [ + "ㄑㄧㄡ1" + ], + "𪍛": [ + "ㄙㄨ4", + "ㄒㄧㄝ4" + ], + "𪍝": [ + "ㄩㄣ4" + ], + "𪍟": [ + "ㄙㄨㄛ3" + ], + "𪍠": [ + "ㄎㄨ1" + ], + "𪍡": [ + "ㄅㄛ2" + ], + "𪍣": [ + "ㄌㄡ3" + ], + "𪍤": [ + "ㄇㄛ4" + ], + "𪍦": [ + "ㄌㄧㄢ3" + ], + "𪍧": [ + "ㄒㄩㄢ4" + ], + "𪍨": [ + "ㄙㄨㄛ3" + ], + "𪍩": [ + "ㄇㄢ2" + ], + "𪍪": [ + "ㄅㄧ4" + ], + "𪍲": [ + "ㄊㄧ4" + ], + "𪍴": [ + "ㄌㄧㄢ2" + ], + "𪍵": [ + "ㄊㄢ2" + ], + "𪍶": [ + "ㄕㄢ4" + ], + "𪍸": [ + "ㄑㄩ2" + ], + "𪍹": [ + "ㄉㄨ2" + ], + "𪍺": [ + "ㄏㄨㄢ2", + "ㄏㄨㄢ4" + ], + "𪍻": [ + "ㄙㄠ4" + ], + "𪍿": [ + "ㄎㄨㄤ4" + ], + "𪎃": [ + "ㄋㄧㄝ4" + ], + "𪎅": [ + "ㄋㄧㄝ4" + ], + "𪎆": [ + "ㄌㄨㄛ2" + ], + "𪎇": [ + "ㄗㄨㄛ2" + ], + "𪎈": [ + "ㄧ4" + ], + "𪎉": [ + "ㄒㄧㄢ4" + ], + "𪎊": [ + "ㄔㄠ3" + ], + "𪎋": [ + "ㄊㄧㄝ4" + ], + "𪎒": [ + "ㄕㄨㄛ4" + ], + "𪎔": [ + "ㄇㄧ3" + ], + "𪎗": [ + "ㄇㄧ2" + ], + "𪎛": [ + "ㄨㄢ3" + ], + "𪎝": [ + "ㄅㄣ4" + ], + "𪎞": [ + "ㄑㄧㄤ1" + ], + "𪎠": [ + "ㄇㄛ3" + ], + "𪎣": [ + "ㄌㄧㄡ2" + ], + "𪎤": [ + "ㄨㄛ4" + ], + "𪎦": [ + "ㄇㄟ3" + ], + "𪎨": [ + "ㄊㄡ2" + ], + "𪎫": [ + "ㄇㄨ3" + ], + "𪎭": [ + "ㄇㄟ2" + ], + "𪎲": [ + "ㄗㄨㄛ4" + ], + "𪎴": [ + "ㄊㄨㄣ2" + ], + "𪎵": [ + "ㄎㄤ4" + ], + "𪎶": [ + "ㄊㄨㄣ2" + ], + "𪎺": [ + "ㄔㄜ4" + ], + "𪎻": [ + "ㄓㄥ4" + ], + "𪎽": [ + "ㄔㄨㄥ1" + ], + "𪎾": [ + "ㄊㄧㄢ1" + ], + "𪏀": [ + "ㄓ4" + ], + "𪏁": [ + "ㄔㄢ2" + ], + "𪏂": [ + "ㄔㄢ2" + ], + "𪏅": [ + "ㄑㄧㄥ1" + ], + "𪏆": [ + "ㄊㄨㄣ1" + ], + "𪏇": [ + "ㄏㄨㄟ3" + ], + "𪏈": [ + "ㄑㄩㄝ4" + ], + "𪏉": [ + "ㄓㄢ1" + ], + "𪏊": [ + "ㄐㄧㄢ1", + "ㄇㄧㄢ3" + ], + "𪏋": [ + "ㄔㄢ2" + ], + "𪏍": [ + "ㄏㄨㄤ2" + ], + "𪏏": [ + "ㄏㄨㄟ1" + ], + "𪏐": [ + "ㄔ2" + ], + "𪏒": [ + "ㄏㄨㄤ2" + ], + "𪏓": [ + "ㄏㄥ2" + ], + "𪏔": [ + "ㄩㄣ3" + ], + "𪏖": [ + "ㄊㄨㄢ1" + ], + "𪏗": [ + "ㄅㄧㄢ1" + ], + "𪏙": [ + "ㄏㄨㄤ2" + ], + "𪏚": [ + "ㄩㄣ3" + ], + "𪏟": [ + "ㄇㄛ4" + ], + "𪏠": [ + "ㄍㄨㄥ1" + ], + "𪏢": [ + "ㄍㄨㄥ1" + ], + "𪏤": [ + "ㄍㄨㄟ4" + ], + "𪏦": [ + "ㄔㄢ2" + ], + "𪏨": [ + "ㄑㄩㄝ4" + ], + "𪏩": [ + "ㄖㄨㄟ4" + ], + "𪏪": [ + "ㄎㄨㄤ4" + ], + "𪏫": [ + "ㄆㄧㄠ4" + ], + "𪏮": [ + "ㄖㄨ3" + ], + "𪏲": [ + "ㄋㄧㄡ3" + ], + "𪏳": [ + "ㄏㄨ4" + ], + "𪏴": [ + "ㄐㄧㄣ3" + ], + "𪏵": [ + "ㄋㄧ4", + "ㄌㄧ2" + ], + "𪏶": [ + "ㄅㄠ4" + ], + "𪏸": [ + "ㄋㄧ3", + "ㄔ1" + ], + "𪏺": [ + "ㄅㄧ4" + ], + "𪏻": [ + "ㄏㄨ2" + ], + "𪏼": [ + "ㄌㄧ2" + ], + "𪏿": [ + "ㄓㄨ1" + ], + "𪐀": [ + "ㄋㄚ3" + ], + "𪐂": [ + "ㄑㄩㄢ3" + ], + "𪐃": [ + "ㄈㄥ3" + ], + "𪐄": [ + "ㄅㄧ3" + ], + "𪐅": [ + "ㄌㄧ2" + ], + "𪐆": [ + "ㄅㄧㄝ2" + ], + "𪐇": [ + "ㄋㄧㄢ2" + ], + "𪐈": [ + "ㄉㄨㄥ3" + ], + "𪐋": [ + "ㄌㄧㄢ2" + ], + "𪐌": [ + "ㄋㄧ4" + ], + "𪐍": [ + "ㄌㄧㄢ2" + ], + "𪐎": [ + "ㄇㄚ2" + ], + "𪐏": [ + "ㄓㄜ2", + "ㄓ2" + ], + "𪐓": [ + "ㄐㄧㄚ1" + ], + "𪐔": [ + "ㄧ2" + ], + "𪐖": [ + "ㄌㄨㄥ3" + ], + "𪐘": [ + "ㄧ4", + "ㄧㄢ1" + ], + "𪐝": [ + "ㄉㄞ4", + "ㄊㄞ4" + ], + "𪐞": [ + "ㄉㄨ4" + ], + "𪐣": [ + "ㄧ3" + ], + "𪐥": [ + "ㄊㄞ4" + ], + "𪐦": [ + "ㄏㄤ1" + ], + "𪐧": [ + "ㄕㄨ4" + ], + "𪐬": [ + "ㄨㄢ2" + ], + "𪐮": [ + "ㄙㄨ4" + ], + "𪐯": [ + "ㄧㄠ3" + ], + "𪐰": [ + "ㄦ4" + ], + "𪐲": [ + "ㄓㄣ4" + ], + "𪐺": [ + "ㄉㄡ4" + ], + "𪐻": [ + "ㄐㄧㄢ1" + ], + "𪐿": [ + "ㄆㄤ1" + ], + "𪑀": [ + "ㄏㄨㄟ1" + ], + "𪑂": [ + "ㄔㄚ4" + ], + "𪑃": [ + "ㄕㄢ1" + ], + "𪑄": [ + "ㄌㄨ2" + ], + "𪑆": [ + "ㄩ4" + ], + "𪑈": [ + "ㄧㄢ4" + ], + "𪑉": [ + "ㄨㄢ3" + ], + "𪑊": [ + "ㄑㄧㄠ4" + ], + "𪑋": [ + "ㄌㄨㄛ1" + ], + "𪑌": [ + "ㄩ4" + ], + "𪑏": [ + "ㄊㄨ2" + ], + "𪑐": [ + "ㄨㄟ4" + ], + "𪑒": [ + "ㄊㄨㄣ4" + ], + "𪑕": [ + "ㄏㄨㄣ3" + ], + "𪑖": [ + "ㄅㄣ1" + ], + "𪑗": [ + "ㄑㄧㄝ4" + ], + "𪑙": [ + "ㄐㄧㄣ1", + "ㄑㄧㄢ2" + ], + "𪑚": [ + "ㄌㄞ2", + "ㄌㄧ2" + ], + "𪑜": [ + "ㄓ3" + ], + "𪑝": [ + "ㄩ2" + ], + "𪑟": [ + "ㄘ4" + ], + "𪑦": [ + "ㄧㄝ4" + ], + "𪑧": [ + "ㄉㄧㄝ2" + ], + "𪑨": [ + "ㄔㄚ4" + ], + "𪑩": [ + "ㄉㄧㄢ4" + ], + "𪑪": [ + "ㄇㄢ2" + ], + "𪑬": [ + "ㄉㄥ4" + ], + "𪑭": [ + "ㄨㄟ1" + ], + "𪑮": [ + "ㄋㄧㄢ3" + ], + "𪑯": [ + "ㄌㄟ4" + ], + "𪑰": [ + "ㄅㄧㄥ1" + ], + "𪑱": [ + "ㄨ1", + "ㄨㄛ4" + ], + "𪑳": [ + "ㄓㄣ3" + ], + "𪑶": [ + "ㄖㄡ2" + ], + "𪑷": [ + "ㄨㄞ4" + ], + "𪑸": [ + "ㄇㄧ4", + "ㄧㄢ1" + ], + "𪑹": [ + "ㄐㄧㄝ4" + ], + "𪑻": [ + "ㄏㄡ2" + ], + "𪑽": [ + "ㄓㄞ4" + ], + "𪑾": [ + "ㄖㄨ3" + ], + "𪑿": [ + "ㄗ1" + ], + "𪒀": [ + "ㄆㄢ2" + ], + "𪒂": [ + "ㄇㄛ4" + ], + "𪒄": [ + "ㄇㄧ4" + ], + "𪒆": [ + "ㄑㄧ1" + ], + "𪒇": [ + "ㄇㄛ4" + ], + "𪒊": [ + "ㄓ1" + ], + "𪒋": [ + "ㄅㄢ1", + "ㄆㄢ2" + ], + "𪒍": [ + "ㄇㄧㄝ4" + ], + "𪒏": [ + "ㄌㄨ4" + ], + "𪒑": [ + "ㄑㄧ1" + ], + "𪒒": [ + "ㄔㄨㄥ1" + ], + "𪒔": [ + "ㄌㄧ2" + ], + "𪒕": [ + "ㄧ4" + ], + "𪒘": [ + "ㄉㄥ4" + ], + "𪒙": [ + "ㄘㄨㄛ1" + ], + "𪒛": [ + "ㄉㄨㄟ4" + ], + "𪒜": [ + "ㄇㄚ4" + ], + "𪒝": [ + "ㄧㄢ3" + ], + "𪒟": [ + "ㄗㄥ4" + ], + "𪒠": [ + "ㄧㄢ3", + "ㄢ3", + "ㄢ4" + ], + "𪒡": [ + "ㄉㄨㄟ4", + "ㄉㄞ4" + ], + "𪒢": [ + "ㄆㄨ1" + ], + "𪒥": [ + "ㄩㄝ4" + ], + "𪒩": [ + "ㄏㄨㄛ4" + ], + "𪒪": [ + "ㄇㄞ4" + ], + "𪒫": [ + "ㄐㄧㄢ3" + ], + "𪒬": [ + "ㄋㄨㄥ2" + ], + "𪒭": [ + "ㄑㄧㄣ2" + ], + "𪒯": [ + "ㄑㄧㄣ2" + ], + "𪒲": [ + "ㄧㄝ4" + ], + "𪒴": [ + "ㄊㄞ2" + ], + "𪒹": [ + "ㄐㄧㄢ1" + ], + "𪒼": [ + "ㄔㄚ2" + ], + "𪒾": [ + "ㄉㄢ4" + ], + "𪒿": [ + "ㄊㄥ2" + ], + "𪓀": [ + "ㄌㄧ4" + ], + "𪓃": [ + "ㄋㄧㄤ3" + ], + "𪓄": [ + "ㄔㄢ2" + ], + "𪓅": [ + "ㄗㄤ1" + ], + "𪓊": [ + "ㄩ4" + ], + "𪓌": [ + "ㄗㄨㄟ4" + ], + "𪓍": [ + "ㄅㄧㄢ1" + ], + "𪓐": [ + "ㄔㄨ3" + ], + "𪓘": [ + "ㄖㄢ2" + ], + "𪓚": [ + "ㄖㄢ2" + ], + "𪓛": [ + "ㄧㄤ1" + ], + "𪓜": [ + "ㄅㄛ3" + ], + "𪓡": [ + "ㄘㄨ4" + ], + "𪓬": [ + "ㄇㄧ2" + ], + "𪓮": [ + "ㄎㄜ3" + ], + "𪓰": [ + "ㄘㄨ4" + ], + "𪓷": [ + "ㄒㄧ2" + ], + "𪓹": [ + "ㄇㄚ2" + ], + "𪓻": [ + "ㄕ1" + ], + "𪓼": [ + "ㄉㄧㄢ1" + ], + "𪓿": [ + "ㄕ1" + ], + "𪔂": [ + "ㄉㄧㄥ3" + ], + "𪔃": [ + "ㄐㄩㄥ1" + ], + "𪔅": [ + "ㄩㄢ2" + ], + "𪔆": [ + "ㄍㄢ1" + ], + "𪔊": [ + "ㄏㄨㄟ4" + ], + "𪔋": [ + "ㄐㄧ1" + ], + "𪔍": [ + "ㄆㄥ2" + ], + "𪔏": [ + "ㄉㄥ1" + ], + "𪔑": [ + "ㄅㄥ4" + ], + "𪔔": [ + "ㄆㄤ1", + "ㄆㄥ2" + ], + "𪔕": [ + "ㄊㄚ4", + "ㄌㄨㄥ2" + ], + "𪔗": [ + "ㄩㄢ1" + ], + "𪔘": [ + "ㄍㄠ1" + ], + "𪔙": [ + "ㄩㄢ1" + ], + "𪔟": [ + "ㄐㄧㄚ1" + ], + "𪔣": [ + "ㄎㄨㄥ1" + ], + "𪔦": [ + "ㄉㄨㄥ4" + ], + "𪔩": [ + "ㄒㄧㄢ2" + ], + "𪔪": [ + "ㄑㄧ4" + ], + "𪔬": [ + "ㄙㄤ1" + ], + "𪔰": [ + "ㄧㄣ4" + ], + "𪔳": [ + "ㄌㄨㄥ2" + ], + "𪔶": [ + "ㄊㄥ1" + ], + "𪔷": [ + "ㄌㄨㄥ2" + ], + "𪔺": [ + "ㄖㄣ4" + ], + "𪔽": [ + "ㄧㄣ4" + ], + "𪔾": [ + "ㄆㄧㄥ2" + ], + "𪔿": [ + "ㄆㄨ1" + ], + "𪕀": [ + "ㄩㄢ2" + ], + "𪕁": [ + "ㄖㄨㄥ3", + "ㄔㄣ2" + ], + "𪕃": [ + "ㄈㄤ1" + ], + "𪕇": [ + "ㄏㄤ1" + ], + "𪕈": [ + "ㄇㄧ2" + ], + "𪕉": [ + "ㄏㄨ2" + ], + "𪕊": [ + "ㄗ1" + ], + "𪕌": [ + "ㄌㄧㄥ2" + ], + "𪕍": [ + "ㄐㄩㄥ1" + ], + "𪕎": [ + "ㄖㄨㄥ3" + ], + "𪕒": [ + "ㄆㄧㄥ2" + ], + "𪕓": [ + "ㄍㄨㄤ1" + ], + "𪕔": [ + "ㄦ3" + ], + "𪕝": [ + "ㄘㄨ4" + ], + "𪕞": [ + "ㄐㄩㄣ4" + ], + "𪕦": [ + "ㄒㄧㄡ3" + ], + "𪕨": [ + "ㄦ2" + ], + "𪕩": [ + "ㄊㄧ4" + ], + "𪕫": [ + "ㄧㄤ2" + ], + "𪕭": [ + "ㄞ4" + ], + "𪕮": [ + "ㄏㄨ2" + ], + "𪕯": [ + "ㄒㄧ2", + "ㄒㄧㄝ2" + ], + "𪕱": [ + "ㄏㄨ2" + ], + "𪕳": [ + "ㄙ1" + ], + "𪕴": [ + "ㄌㄧ3" + ], + "𪕶": [ + "ㄧ4" + ], + "𪕷": [ + "ㄍㄨ3" + ], + "𪕹": [ + "ㄊㄤ2" + ], + "𪖀": [ + "ㄑㄩㄝ4" + ], + "𪖁": [ + "ㄗㄨㄥ1" + ], + "𪖂": [ + "ㄌㄧ2" + ], + "𪖄": [ + "ㄐㄧㄠ4" + ], + "𪖇": [ + "ㄈㄢ2" + ], + "𪖈": [ + "ㄆㄨ2" + ], + "𪖉": [ + "ㄙ1" + ], + "𪖋": [ + "ㄐㄧㄝ2" + ], + "𪖌": [ + "ㄌㄨ2" + ], + "𪖍": [ + "ㄌㄧ4" + ], + "𪖎": [ + "ㄔㄢ2" + ], + "𪖐": [ + "ㄧㄠ4", + "ㄧㄚ4" + ], + "𪖕": [ + "ㄏㄨㄟ1" + ], + "𪖙": [ + "ㄏㄡ1" + ], + "𪖚": [ + "ㄉㄧㄢ1" + ], + "𪖛": [ + "ㄑㄧㄡ4" + ], + "𪖜": [ + "ㄐㄩㄝ2" + ], + "𪖞": [ + "ㄆㄧ4" + ], + "𪖢": [ + "ㄎㄨㄟ1" + ], + "𪖥": [ + "ㄒㄧ3" + ], + "𪖦": [ + "ㄊㄧ1" + ], + "𪖩": [ + "ㄒㄩ4" + ], + "𪖯": [ + "ㄅㄧㄢ3" + ], + "𪖲": [ + "ㄏㄜ1" + ], + "𪖳": [ + "ㄌㄧㄢ2" + ], + "𪖶": [ + "ㄙㄨ4" + ], + "𪖷": [ + "ㄌㄧㄠ4" + ], + "𪖼": [ + "ㄐㄧㄣ1" + ], + "𪗁": [ + "ㄌㄧ4" + ], + "𪗂": [ + "ㄔㄢ2" + ], + "𪗅": [ + "ㄑㄧ2" + ], + "𪗆": [ + "ㄑㄧ2" + ], + "𪗉": [ + "ㄗ1" + ], + "𪗋": [ + "ㄗ1" + ], + "𪗍": [ + "ㄑㄧ2" + ], + "𪗏": [ + "ㄑㄧ2" + ], + "𪗐": [ + "ㄗ1" + ], + "𪗒": [ + "ㄓㄞ1" + ], + "𪗓": [ + "ㄓㄞ1" + ], + "𪗔": [ + "ㄆㄚ4" + ], + "𪗖": [ + "ㄐㄩ1" + ], + "𪗙": [ + "ㄧㄢ3" + ], + "𪗜": [ + "ㄏㄤ2" + ], + "𪗝": [ + "ㄋㄚ4" + ], + "𪗤": [ + "ㄧㄢ3" + ], + "𪗦": [ + "ㄓㄢ4" + ], + "𪗧": [ + "ㄕ3" + ], + "𪗨": [ + "ㄓ2" + ], + "𪗭": [ + "ㄓㄚ1" + ], + "𪗴": [ + "ㄖㄨㄥ3" + ], + "𪗵": [ + "ㄓㄚ1" + ], + "𪗷": [ + "ㄧ4" + ], + "𪗸": [ + "ㄇㄧㄥ2" + ], + "𪗹": [ + "ㄧㄚ2" + ], + "𪗻": [ + "ㄓ4" + ], + "𪗽": [ + "ㄎㄨㄛ4", + "ㄏㄨㄚ2" + ], + "𪗾": [ + "ㄒㄧㄚ2" + ], + "𪘀": [ + "ㄆㄧㄢ2" + ], + "𪘁": [ + "ㄊㄚ4", + "ㄒㄧㄚ2" + ], + "𪘃": [ + "ㄧ3" + ], + "𪘆": [ + "ㄒㄧㄡ1" + ], + "𪘇": [ + "ㄓㄞ1" + ], + "𪘉": [ + "ㄉㄨㄛ3" + ], + "𪘊": [ + "ㄜ4" + ], + "𪘎": [ + "ㄧㄣ2", + "ㄋㄧㄝ4" + ], + "𪘐": [ + "ㄜ4" + ], + "𪘑": [ + "ㄙㄨㄢ1" + ], + "𪘒": [ + "ㄢ1" + ], + "𪘓": [ + "ㄘㄨㄛ2" + ], + "𪘕": [ + "ㄊㄨㄛ2" + ], + "𪘗": [ + "ㄊㄨㄛ2" + ], + "𪘘": [ + "ㄒㄧㄚ2" + ], + "𪘛": [ + "ㄔㄨㄛ4" + ], + "𪘝": [ + "ㄙㄨㄢ1" + ], + "𪘥": [ + "ㄐㄧ4" + ], + "𪘦": [ + "ㄑㄧㄢ3" + ], + "𪘧": [ + "ㄗㄨ2" + ], + "𪘨": [ + "ㄓㄞ1" + ], + "𪘩": [ + "ㄩㄣ3", + "ㄎㄨㄣ3" + ], + "𪘪": [ + "ㄓㄢ4" + ], + "𪘬": [ + "ㄧ2", + "ㄧㄚ4", + "ㄧㄚ2" + ], + "𪘲": [ + "ㄧㄚ2", + "ㄧ2", + "ㄧㄚ4", + "ㄘ1" + ], + "𪘳": [ + "ㄩㄝ1" + ], + "𪘹": [ + "ㄏㄜ2" + ], + "𪘺": [ + "ㄑㄧㄚ4" + ], + "𪘾": [ + "ㄔㄚ1" + ], + "𪙃": [ + "ㄡ2" + ], + "𪙈": [ + "ㄏㄨ2" + ], + "𪙊": [ + "ㄧㄢ4" + ], + "𪙌": [ + "ㄑㄧㄝ4" + ], + "𪙍": [ + "ㄅㄛ2" + ], + "𪙎": [ + "ㄑㄧㄤ1" + ], + "𪙏": [ + "ㄐㄧㄝ4", + "ㄐㄧㄚ2" + ], + "𪙛": [ + "ㄋㄧ4" + ], + "𪙞": [ + "ㄔㄢ3" + ], + "𪙟": [ + "ㄑㄧㄣ3" + ], + "𪙡": [ + "ㄗㄠ1" + ], + "𪙤": [ + "ㄧㄣ3" + ], + "𪙥": [ + "ㄒㄧㄝ4" + ], + "𪙧": [ + "ㄑㄧ2" + ], + "𪙨": [ + "ㄐㄧㄢ4", + "ㄐㄧㄢ1" + ], + "𪙫": [ + "ㄒㄩ1" + ], + "𪙭": [ + "ㄗㄥ4" + ], + "𪙯": [ + "ㄜ4" + ], + "𪙳": [ + "ㄗㄨ1" + ], + "𪙴": [ + "ㄧ3" + ], + "𪙹": [ + "ㄓ2" + ], + "𪙺": [ + "ㄌㄧ4" + ], + "𪙽": [ + "ㄌㄧ4" + ], + "𪙾": [ + "ㄧㄣ2" + ], + "𪚁": [ + "ㄌㄧㄢ2" + ], + "𪚃": [ + "ㄔㄢ2" + ], + "𪚅": [ + "ㄐㄩㄝ2" + ], + "𪚇": [ + "ㄗㄚ2" + ], + "𪚎": [ + "ㄓㄞ1" + ], + "𪚏": [ + "ㄆㄧㄢ2" + ], + "𪚑": [ + "ㄌㄨㄥ2" + ], + "𪚓": [ + "ㄌㄨㄥ2" + ], + "𪚘": [ + "ㄌㄨㄥ2" + ], + "𪚝": [ + "ㄌㄨㄥ2" + ], + "𪚠": [ + "ㄌㄨㄥ2" + ], + "𪚢": [ + "ㄇㄤ3" + ], + "𪚥": [ + "ㄓㄜ2" + ], + "𪚬": [ + "ㄍㄢ4" + ], + "𪚭": [ + "ㄍㄡ1" + ], + "𪚮": [ + "ㄖㄢ2" + ], + "𪚯": [ + "ㄘㄨ4" + ], + "𪚰": [ + "ㄐㄧㄠ1" + ], + "𪚷": [ + "ㄅㄛ3" + ], + "𪚹": [ + "ㄓㄨ4" + ], + "𪚺": [ + "ㄑㄧㄡ1" + ], + "𪚻": [ + "ㄧㄤ1" + ], + "𪛀": [ + "ㄒㄧㄠ4" + ], + "𪛂": [ + "ㄏㄨㄟ2" + ], + "𪛃": [ + "ㄑㄩ1" + ], + "𪛈": [ + "ㄌㄧㄥ2" + ], + "𪛊": [ + "ㄧㄣ2" + ], + "𪛎": [ + "ㄆㄧ4" + ], + "𪛒": [ + "ㄌㄧㄢ2" + ], + "𪞝": [ + "ㄉㄨㄛ2" + ], + "𪟝": [ + "ㄐㄧ4", + "ㄐㄧ1" + ], + "𪡈": [ + "ㄅㄞ2" + ], + "𪡏": [ + "ㄓㄢ1" + ], + "𪢮": [ + "ㄌㄨㄢ2" + ], + "𪣻": [ + "ㄌㄡ2" + ], + "𪤗": [ + "ㄌㄧㄠ4" + ], + "𪨊": [ + "ㄙㄨㄥ2" + ], + "𪨗": [ + "ㄐㄩㄝ1" + ], + "𪨰": [ + "ㄑㄩ1" + ], + "𪨶": [ + "ㄕㄜ1" + ], + "𪩘": [ + "ㄧㄢ3" + ], + "𪪝": [ + "ㄩㄥ1" + ], + "𪺹": [ + "ㄋㄨ3" + ], + "𪻐": [ + "ㄘㄨㄥ1" + ], + "𪾢": [ + "ㄒㄧㄢ4" + ], + "𫁡": [ + "ㄌㄧ4" + ], + "𫂈": [ + "ㄈㄟ4" + ], + "𫂙": [ + "ㄙㄨ4" + ], + "𫃜": [ + "ㄎㄡ4" + ], + "𫄧": [ + "ㄧㄢ2" + ], + "𫄨": [ + "ㄔ1" + ], + "𫄷": [ + "ㄧ4" + ], + "𫄸": [ + "ㄒㄩㄣ1" + ], + "𫇭": [ + "ㄨㄟ3" + ], + "𫈰": [ + "ㄑㄧㄚ4" + ], + "𫋐": [ + "ㄍㄨㄥ3" + ], + "𫌀": [ + "ㄐㄧ1" + ], + "𫌨": [ + "ㄌㄨㄛ2" + ], + "𫍙": [ + "ㄧ4" + ], + "𫍟": [ + "ㄧ2" + ], + "𫍢": [ + "ㄋㄠ2" + ], + "𫍣": [ + "ㄊㄨㄥ2" + ], + "𫍯": [ + "ㄒㄧㄢ2" + ], + "𫍰": [ + "ㄒㄧ3" + ], + "𫍲": [ + "ㄒㄧㄠ3" + ], + "𫍽": [ + "ㄒㄩㄢ1" + ], + "𫏋": [ + "ㄐㄩㄝ1", + "ㄑㄧㄠ1" + ], + "𫐄": [ + "ㄩㄝ4" + ], + "𫐆": [ + "ㄎㄨㄞ4" + ], + "𫐉": [ + "ㄌㄧㄥ2" + ], + "𫐐": [ + "ㄋㄧ2" + ], + "𫐓": [ + "ㄅㄨ4", + "ㄖㄡ2" + ], + "𫑡": [ + "ㄇㄥ2" + ], + "𫒶": [ + "ㄏㄢ2" + ], + "𫓧": [ + "ㄈㄨ1" + ], + "𫓩": [ + "ㄘㄨㄥ1" + ], + "𫓯": [ + "ㄐㄧ1" + ], + "𫓶": [ + "ㄒㄩㄢ1" + ], + "𫓹": [ + "ㄐㄧ1" + ], + "𫔍": [ + "ㄈㄢ2" + ], + "𫔎": [ + "ㄐㄩㄝ2" + ], + "𫔶": [ + "ㄋㄧㄝ4" + ], + "𫖮": [ + "ㄧ3" + ], + "𫖯": [ + "ㄈㄨ3" + ], + "𫖳": [ + "ㄩㄣ1" + ], + "𫗠": [ + "ㄓㄤ1" + ], + "𫗦": [ + "ㄅㄨ4" + ], + "𫗧": [ + "ㄙㄨ4" + ], + "𫗮": [ + "ㄏㄨㄤ2" + ], + "𫗴": [ + "ㄓㄢ1" + ], + "𫘜": [ + "ㄨㄣ2" + ], + "𫘝": [ + "ㄐㄩㄝ2" + ], + "𫘣": [ + "ㄏㄢ4" + ], + "𫘤": [ + "ㄞ2" + ], + "𫘦": [ + "ㄊㄠ2" + ], + "𫘧": [ + "ㄌㄨ4" + ], + "𫘨": [ + "ㄊㄧ2" + ], + "𫘪": [ + "ㄩㄢ2" + ], + "𫘬": [ + "ㄒㄧ2" + ], + "𫚈": [ + "ㄒㄩ4" + ], + "𫚉": [ + "ㄏㄨㄥ2" + ], + "𫚒": [ + "ㄈㄨ2" + ], + "𫚔": [ + "ㄏㄨㄟ2" + ], + "𫚕": [ + "ㄕ1" + ], + "𫚖": [ + "ㄘ3" + ], + "𫚙": [ + "ㄆㄨ1" + ], + "𫚭": [ + "ㄌㄧㄝ4" + ], + "𫛛": [ + "ㄓ1" + ], + "𫛞": [ + "ㄐㄩㄝ2" + ], + "𫛢": [ + "ㄋㄧㄥ2" + ], + "𫛭": [ + "ㄎㄨㄤ2" + ], + "𫛶": [ + "ㄔ4" + ], + "𫛸": [ + "ㄊㄧ2" + ], + "𫜷": [ + "ㄕㄡ4" + ], + "𫜸": [ + "ㄏㄨㄚ4" + ], + "𫞩": [ + "ㄇㄣ2" + ], + "𫟅": [ + "ㄌㄧㄤ2" + ], + "𫟦": [ + "ㄙㄨㄟ4" + ], + "𫟷": [ + "ㄌㄧ4" + ], + "𫟹": [ + "ㄏㄨㄥ2" + ], + "𫟼": [ + "ㄉㄚ2" + ], + "𫠆": [ + "ㄎㄨㄟ3" + ], + "𫠊": [ + "ㄒㄩㄢ2" + ], + "𫠜": [ + "ㄋㄧ2" + ], + "𫠥": [ + "ㄌㄡ4" + ], + "𫡑": [ + "ㄧㄣ1" + ], + "𫢸": [ + "ㄉㄢ4" + ], + "𫫇": [ + "ㄜ3", + "ㄜ4" + ], + "𫭟": [ + "ㄡ1", + "ㄑㄩ1" + ], + "𫭢": [ + "ㄌㄨㄣ3" + ], + "𫭼": [ + "ㄌㄠ2" + ], + "𫮃": [ + "ㄕㄢ4" + ], + "𫮬": [ + "ㄐㄧㄤ4" + ], + "𫰛": [ + "ㄒㄧㄥ2" + ], + "𫵷": [ + "ㄌㄧ4" + ], + "𫶇": [ + "ㄉㄧㄝ2" + ], + "𫷷": [ + "ㄒㄧㄣ1" + ], + "𫸩": [ + "ㄎㄡ1" + ], + "𫼛": [ + "ㄉㄧㄠ4" + ], + "𫽮": [ + "ㄉㄤ3" + ], + "𬀩": [ + "ㄨㄟ3" + ], + "𬀪": [ + "ㄒㄧㄢ4" + ], + "𬀷": [ + "ㄕㄤ1" + ], + "𬂩": [ + "ㄐㄧㄚ1" + ], + "𬃊": [ + "ㄓ4" + ], + "𬆛": [ + "ㄋㄠ3" + ], + "𬇕": [ + "ㄨㄢ4" + ], + "𬇙": [ + "ㄆㄟ4", + "ㄅㄟ4" + ], + "𬇹": [ + "ㄍㄨㄛ2" + ], + "𬉼": [ + "ㄡ1", + "ㄡ3" + ], + "𬊈": [ + "ㄒㄩㄣ2" + ], + "𬊤": [ + "ㄔㄢ3" + ], + "𬌗": [ + "ㄏㄜ2" + ], + "𬍛": [ + "ㄌㄧ4" + ], + "𬍡": [ + "ㄉㄤ4" + ], + "𬍤": [ + "ㄒㄩㄣ2" + ], + "𬐚": [ + "ㄏㄞ3" + ], + "𬑔": [ + "ㄓㄨㄥ4" + ], + "𬑡": [ + "ㄔㄡ3" + ], + "𬒈": [ + "ㄑㄩㄝ4" + ], + "𬒔": [ + "ㄍㄥ3" + ], + "𬒗": [ + "ㄌㄢ2" + ], + "𬒘": [ + "ㄒㄧㄣ4" + ], + "𬓼": [ + "ㄊㄨㄟ2" + ], + "𬕂": [ + "ㄍㄨㄥ1", + "ㄌㄨㄥ3" + ], + "𬘓": [ + "ㄒㄩㄣ2" + ], + "𬘘": [ + "ㄉㄢ3" + ], + "𬘡": [ + "ㄧㄣ1" + ], + "𬘩": [ + "ㄊㄧㄥ1" + ], + "𬘫": [ + "ㄏㄨㄢ2" + ], + "𬘬": [ + "ㄑㄧㄢ4" + ], + "𬘭": [ + "ㄌㄧㄣ2", + "ㄔㄣ1" + ], + "𬘯": [ + "ㄓㄨㄣ3" + ], + "𬙂": [ + "ㄧㄢ3" + ], + "𬙊": [ + "ㄇㄛ4" + ], + "𬙋": [ + "ㄒㄧㄤ1" + ], + "𬛸": [ + "ㄋㄧㄝ1" + ], + "𬜬": [ + "ㄇㄢ4" + ], + "𬜯": [ + "ㄌㄧㄤ3" + ], + "𬞟": [ + "ㄆㄧㄣ2" + ], + "𬟁": [ + "ㄧ4" + ], + "𬟽": [ + "ㄉㄨㄥ1" + ], + "𬣙": [ + "ㄒㄩ1" + ], + "𬣞": [ + "ㄓㄨ3" + ], + "𬣡": [ + "ㄐㄧㄢ4" + ], + "𬣳": [ + "ㄏㄣ3" + ], + "𬤇": [ + "ㄧㄣ1" + ], + "𬤊": [ + "ㄕ4" + ], + "𬤝": [ + "ㄏㄨㄟ4" + ], + "𬤥": [ + "ㄓㄨㄢ4" + ], + "𬨂": [ + "ㄑㄧ2" + ], + "𬨎": [ + "ㄧㄡ2" + ], + "𬩽": [ + "ㄒㄩㄣ2" + ], + "𬪩": [ + "ㄋㄨㄥ2" + ], + "𬬩": [ + "ㄧ4" + ], + "𬬭": [ + "ㄌㄨㄣ2" + ], + "𬬮": [ + "ㄔㄤ3" + ], + "𬬱": [ + "ㄐㄧㄣ1" + ], + "𬬸": [ + "ㄕㄨ4" + ], + "𬬹": [ + "ㄕㄣ2" + ], + "𬬻": [ + "ㄌㄨ2" + ], + "𬬿": [ + "ㄓㄠ1" + ], + "𬭁": [ + "ㄇㄨ3" + ], + "𬭊": [ + "ㄉㄨ4" + ], + "𬭎": [ + "ㄏㄨㄥ2" + ], + "𬭚": [ + "ㄔㄨㄣ2" + ], + "𬭛": [ + "ㄅㄛ1" + ], + "𬭤": [ + "ㄏㄡ2" + ], + "𬭩": [ + "ㄨㄥ1" + ], + "𬭬": [ + "ㄨㄟ4", + "ㄏㄨㄟ4" + ], + "𬭯": [ + "ㄆㄧㄝ3" + ], + "𬭳": [ + "ㄒㄧ3" + ], + "𬭶": [ + "ㄏㄟ1" + ], + "𬭸": [ + "ㄌㄧㄣ2" + ], + "𬭼": [ + "ㄙㄨㄟ4" + ], + "𬮱": [ + "ㄧㄣ1" + ], + "𬮿": [ + "ㄑㄧ2", + "ㄍㄞ4" + ], + "𬯀": [ + "ㄐㄧ1" + ], + "𬯎": [ + "ㄊㄨㄟ2" + ], + "𬰃": [ + "ㄇㄨ4" + ], + "𬱖": [ + "ㄉㄧ2" + ], + "𬱟": [ + "ㄨㄟ3" + ], + "𬲜": [ + "ㄔㄥ1" + ], + "𬳲": [ + "ㄔㄢ3" + ], + "𬳵": [ + "ㄆㄧ1" + ], + "𬳶": [ + "ㄐㄩㄥ1" + ], + "𬳽": [ + "ㄕㄣ1" + ], + "𬳿": [ + "ㄊㄨ2" + ], + "𬴂": [ + "ㄈㄟ1" + ], + "𬴃": [ + "ㄏㄨㄛ1" + ], + "𬴊": [ + "ㄌㄧㄣ2" + ], + "𬶋": [ + "ㄐㄩ1" + ], + "𬶍": [ + "ㄊㄨㄛ2" + ], + "𬶏": [ + "ㄨㄟ2" + ], + "𬶐": [ + "ㄓㄠ4" + ], + "𬶟": [ + "ㄌㄚ4" + ], + "𬶠": [ + "ㄌㄧㄢ4" + ], + "𬶨": [ + "ㄐㄧ4" + ], + "𬶭": [ + "ㄐㄧ4" + ], + "𬶮": [ + "ㄒㄧ3" + ], + "𬷕": [ + "ㄅㄨ1", + "ㄅㄨ3" + ], + "𬸘": [ + "ㄧㄢ3" + ], + "𬸚": [ + "ㄩㄝ4" + ], + "𬸣": [ + "ㄒㄧㄢ1" + ], + "𬸦": [ + "ㄓㄨㄛ2" + ], + "𬸪": [ + "ㄈㄢ2" + ], + "𬹼": [ + "ㄒㄧㄝ4" + ], + "𬺈": [ + "ㄧ3" + ], + "𬺓": [ + "ㄔㄨ3" + ], + "𭀖": [ + "ㄌㄧ2" + ], + "灰": [ + "ㄏㄨㄟ1" + ], + "𰻝": [ + "ㄅㄧㄤ2" + ], + "𰻞": [ + "ㄅㄧㄤ2" + ] +} \ No newline at end of file diff --git a/paddlespeech/t2s/frontend/g2pw/dataset.py b/paddlespeech/t2s/frontend/g2pw/dataset.py new file mode 100644 index 000000000..4fa3f9ccc --- /dev/null +++ b/paddlespeech/t2s/frontend/g2pw/dataset.py @@ -0,0 +1,135 @@ +import numpy as np +from paddlespeech.t2s.frontend.g2pw.utils import tokenize_and_map + +ANCHOR_CHAR = '▁' + + +def prepare_onnx_input(tokenizer, labels, char2phonemes, chars, texts, query_ids, phonemes=None, pos_tags=None, + use_mask=False, use_char_phoneme=False, use_pos=False, window_size=None, max_len=512): + if window_size is not None: + truncated_texts, truncated_query_ids = _truncate_texts(window_size, texts, query_ids) + + input_ids = [] + token_type_ids = [] + attention_masks = [] + phoneme_masks = [] + char_ids = [] + position_ids = [] + + for idx in range(len(texts)): + text = (truncated_texts if window_size else texts)[idx].lower() + query_id = (truncated_query_ids if window_size else query_ids)[idx] + + try: + tokens, text2token, token2text = tokenize_and_map(tokenizer, text) + except Exception: + print(f'warning: text "{text}" is invalid') + return {} + + text, query_id, tokens, text2token, token2text = _truncate(max_len, text, query_id, tokens, text2token, token2text) + + processed_tokens = ['[CLS]'] + tokens + ['[SEP]'] + + input_id = list(np.array(tokenizer.convert_tokens_to_ids(processed_tokens))) + token_type_id = list(np.zeros((len(processed_tokens),), dtype=int)) + attention_mask = list(np.ones((len(processed_tokens),), dtype=int)) + + query_char = text[query_id] + phoneme_mask = [1 if i in char2phonemes[query_char] else 0 for i in range(len(labels))] \ + if use_mask else [1] * len(labels) + char_id = chars.index(query_char) + position_id = text2token[query_id] + 1 # [CLS] token locate at first place + + input_ids.append(input_id) + token_type_ids.append(token_type_id) + attention_masks.append(attention_mask) + phoneme_masks.append(phoneme_mask) + char_ids.append(char_id) + position_ids.append(position_id) + + outputs = { + 'input_ids': np.array(input_ids), + 'token_type_ids': np.array(token_type_ids), + 'attention_masks': np.array(attention_masks), + 'phoneme_masks': np.array(phoneme_masks).astype(np.float32), + 'char_ids': np.array(char_ids), + 'position_ids': np.array(position_ids), + } + return outputs + +def _truncate_texts(window_size, texts, query_ids): + truncated_texts = [] + truncated_query_ids = [] + for text, query_id in zip(texts, query_ids): + start = max(0, query_id - window_size // 2) + end = min(len(text), query_id + window_size // 2) + truncated_text = text[start:end] + truncated_texts.append(truncated_text) + + truncated_query_id = query_id - start + truncated_query_ids.append(truncated_query_id) + return truncated_texts, truncated_query_ids + +def _truncate(max_len, text, query_id, tokens, text2token, token2text): + truncate_len = max_len - 2 + if len(tokens) <= truncate_len: + return (text, query_id, tokens, text2token, token2text) + + token_position = text2token[query_id] + + token_start = token_position - truncate_len // 2 + token_end = token_start + truncate_len + font_exceed_dist = -token_start + back_exceed_dist = token_end - len(tokens) + if font_exceed_dist > 0: + token_start += font_exceed_dist + token_end += font_exceed_dist + elif back_exceed_dist > 0: + token_start -= back_exceed_dist + token_end -= back_exceed_dist + + start = token2text[token_start][0] + end = token2text[token_end - 1][1] + + return ( + text[start:end], + query_id - start, + tokens[token_start:token_end], + [i - token_start if i is not None else None for i in text2token[start:end]], + [(s - start, e - start) for s, e in token2text[token_start:token_end]] + ) + +def prepare_data(sent_path, lb_path=None): + raw_texts = open(sent_path).read().rstrip().split('\n') + query_ids = [raw.index(ANCHOR_CHAR) for raw in raw_texts] + texts = [raw.replace(ANCHOR_CHAR, '') for raw in raw_texts] + if lb_path is None: + return texts, query_ids + else: + phonemes = open(lb_path).read().rstrip().split('\n') + return texts, query_ids, phonemes + + +def get_phoneme_labels(polyphonic_chars): + labels = sorted(list(set([phoneme for char, phoneme in polyphonic_chars]))) + char2phonemes = {} + for char, phoneme in polyphonic_chars: + if char not in char2phonemes: + char2phonemes[char] = [] + char2phonemes[char].append(labels.index(phoneme)) + return labels, char2phonemes + + +def get_char_phoneme_labels(polyphonic_chars): + labels = sorted(list(set([f'{char} {phoneme}' for char, phoneme in polyphonic_chars]))) + char2phonemes = {} + for char, phoneme in polyphonic_chars: + if char not in char2phonemes: + char2phonemes[char] = [] + char2phonemes[char].append(labels.index(f'{char} {phoneme}')) + return labels, char2phonemes + + +def prepare_pos(pos_path): + return open(pos_path).read().rstrip().split('\n') + diff --git a/paddlespeech/t2s/frontend/g2pw/onnx_api.py b/paddlespeech/t2s/frontend/g2pw/onnx_api.py new file mode 100644 index 000000000..8f4e89adc --- /dev/null +++ b/paddlespeech/t2s/frontend/g2pw/onnx_api.py @@ -0,0 +1,139 @@ +import os +import json +import onnxruntime +import numpy as np + +from opencc import OpenCC + +from transformers import BertTokenizer + +from paddlespeech.t2s.frontend.g2pw.dataset import prepare_data, prepare_onnx_input, get_phoneme_labels, get_char_phoneme_labels +from paddlespeech.t2s.frontend.g2pw.utils import load_config + +MODEL_URL = 'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/g2p/G2PWModel.tar' + + +def predict(session, onnx_input, labels): + all_preds = [] + all_confidences = [] + probs = session.run([],{"input_ids": onnx_input['input_ids'], + "token_type_ids":onnx_input['token_type_ids'], + "attention_mask":onnx_input['attention_masks'], + "phoneme_mask":onnx_input['phoneme_masks'], + "char_ids":onnx_input['char_ids'], + "position_ids":onnx_input['position_ids']})[0] + + preds = np.argmax(probs,axis=1).tolist() + max_probs = [] + for index,arr in zip(preds,probs.tolist()): + max_probs.append(arr[index]) + all_preds += [labels[pred] for pred in preds] + all_confidences += max_probs + + return all_preds, all_confidences + + +def download_model(model_dir): + wget_shell = "cd %s && wget %s"%(model_dir,MODEL_URL) + os.system(wget_shell) + shell = "cd %s ;tar -xvf %s;cd %s/G2PWModel;rm -rf .*" % (model_dir,MODEL_URL.split("/")[-1], model_dir) + os.system(shell) + rm_shell = "cd %s && rm -rf %s"%(model_dir,MODEL_URL.split("/")[-1]) + os.system(rm_shell) + + +class G2PWOnnxConverter: + def __init__(self, style='bopomofo', model_source=None, enable_non_tradional_chinese=False): + model_dir = os.path.dirname(os.path.abspath(__file__)) + if not os.path.exists(os.path.join(model_dir, 'G2PWModel/g2pW.onnx')): + download_model(model_dir) + + self.session_g2pW = onnxruntime.InferenceSession(os.path.join(model_dir, 'G2PWModel/g2pW.onnx')) + self.config = load_config(os.path.join(model_dir, 'G2PWModel/config.py'), use_default=True) + + self.model_source = model_source if model_source else self.config.model_source + self.enable_opencc = enable_non_tradional_chinese + + self.tokenizer = BertTokenizer.from_pretrained(self.config.model_source) + + polyphonic_chars_path = os.path.join(model_dir, 'G2PWModel/POLYPHONIC_CHARS.txt') + monophonic_chars_path = os.path.join(model_dir, 'G2PWModel/MONOPHONIC_CHARS.txt') + self.polyphonic_chars = [line.split('\t') for line in open(polyphonic_chars_path,encoding='utf-8').read().strip().split('\n')] + self.monophonic_chars = [line.split('\t') for line in open(monophonic_chars_path,encoding='utf-8').read().strip().split('\n')] + self.labels, self.char2phonemes = get_char_phoneme_labels(self.polyphonic_chars) if self.config.use_char_phoneme else get_phoneme_labels(self.polyphonic_chars) + + self.chars = sorted(list(self.char2phonemes.keys())) + self.pos_tags = ['UNK', 'A', 'C', 'D', 'I', 'N', 'P', 'T', 'V', 'DE', 'SHI'] + + with open(os.path.join(os.path.dirname(os.path.abspath(__file__)), + 'bopomofo_to_pinyin_wo_tune_dict.json'), 'r',encoding='utf-8') as fr: + self.bopomofo_convert_dict = json.load(fr) + self.style_convert_func = { + 'bopomofo': lambda x: x, + 'pinyin': self._convert_bopomofo_to_pinyin, + }[style] + + with open(os.path.join(os.path.dirname(os.path.abspath(__file__)), + 'char_bopomofo_dict.json'), 'r',encoding='utf-8') as fr: + self.char_bopomofo_dict = json.load(fr) + + if self.enable_opencc: + self.cc = OpenCC('s2tw') + + def _convert_bopomofo_to_pinyin(self, bopomofo): + tone = bopomofo[-1] + assert tone in '12345' + component = self.bopomofo_convert_dict.get(bopomofo[:-1]) + if component: + return component + tone + else: + print(f'Warning: "{bopomofo}" cannot convert to pinyin') + return None + + def __call__(self, sentences): + if isinstance(sentences, str): + sentences = [sentences] + + if self.enable_opencc: + translated_sentences = [] + for sent in sentences: + translated_sent = self.cc.convert(sent) + assert len(translated_sent) == len(sent) + translated_sentences.append(translated_sent) + sentences = translated_sentences + + texts, query_ids, sent_ids, partial_results = self._prepare_data(sentences) + + onnx_input = prepare_onnx_input(self.tokenizer, self.labels, self.char2phonemes, self.chars, texts, query_ids, + use_mask=self.config.use_mask, use_char_phoneme=self.config.use_char_phoneme, + window_size=self.config.window_size) + + preds, confidences = predict(self.session_g2pW, onnx_input, self.labels) + if self.config.use_char_phoneme: + preds = [pred.split(' ')[1] for pred in preds] + + results = partial_results + for sent_id, query_id, pred in zip(sent_ids, query_ids, preds): + results[sent_id][query_id] = self.style_convert_func(pred) + + return results + + def _prepare_data(self, sentences): + polyphonic_chars = set(self.chars) + monophonic_chars_dict = { + char: phoneme for char, phoneme in self.monophonic_chars + } + texts, query_ids, sent_ids, partial_results = [], [], [], [] + for sent_id, sent in enumerate(sentences): + partial_result = [None] * len(sent) + for i, char in enumerate(sent): + if char in polyphonic_chars: + texts.append(sent) + query_ids.append(i) + sent_ids.append(sent_id) + elif char in monophonic_chars_dict: + partial_result[i] = self.style_convert_func(monophonic_chars_dict[char]) + elif char in self.char_bopomofo_dict: + partial_result[i] = self.style_convert_func(self.char_bopomofo_dict[char][0]) + partial_results.append(partial_result) + return texts, query_ids, sent_ids, partial_results diff --git a/paddlespeech/t2s/frontend/g2pw/utils.py b/paddlespeech/t2s/frontend/g2pw/utils.py new file mode 100644 index 000000000..2abeef8bf --- /dev/null +++ b/paddlespeech/t2s/frontend/g2pw/utils.py @@ -0,0 +1,161 @@ +import re +import logging +import sys + + +class RunningAverage: + def __init__(self): + self.values = [] + + def add(self, val): + self.values.append(val) + + def add_all(self, vals): + self.values += vals + + def get(self): + if len(self.values) == 0: + return None + return sum(self.values) / len(self.values) + + def flush(self): + self.values = [] + + +def wordize_and_map(text): + words = [] + index_map_from_text_to_word = [] + index_map_from_word_to_text = [] + while len(text) > 0: + match_space = re.match(r'^ +', text) + if match_space: + space_str = match_space.group(0) + index_map_from_text_to_word += [None] * len(space_str) + text = text[len(space_str):] + continue + + match_en = re.match(r'^[a-zA-Z0-9]+', text) + if match_en: + en_word = match_en.group(0) + + word_start_pos = len(index_map_from_text_to_word) + word_end_pos = word_start_pos + len(en_word) + index_map_from_word_to_text.append((word_start_pos, word_end_pos)) + + index_map_from_text_to_word += [len(words)] * len(en_word) + + words.append(en_word) + text = text[len(en_word):] + else: + word_start_pos = len(index_map_from_text_to_word) + word_end_pos = word_start_pos + 1 + index_map_from_word_to_text.append((word_start_pos, word_end_pos)) + + index_map_from_text_to_word += [len(words)] + + words.append(text[0]) + text = text[1:] + return words, index_map_from_text_to_word, index_map_from_word_to_text + + +def tokenize_and_map(tokenizer, text): + words, text2word, word2text = wordize_and_map(text) + + tokens = [] + index_map_from_token_to_text = [] + for word, (word_start, word_end) in zip(words, word2text): + word_tokens = tokenizer.tokenize(word) + + if len(word_tokens) == 0 or word_tokens == ['[UNK]']: + index_map_from_token_to_text.append((word_start, word_end)) + tokens.append('[UNK]') + else: + current_word_start = word_start + for word_token in word_tokens: + word_token_len = len(re.sub(r'^##', '', word_token)) + index_map_from_token_to_text.append( + (current_word_start, current_word_start + word_token_len)) + current_word_start = current_word_start + word_token_len + tokens.append(word_token) + + index_map_from_text_to_token = text2word + for i, (token_start, token_end) in enumerate(index_map_from_token_to_text): + for token_pos in range(token_start, token_end): + index_map_from_text_to_token[token_pos] = i + + return tokens, index_map_from_text_to_token, index_map_from_token_to_text + + +def _load_config(config_path): + import importlib.util + spec = importlib.util.spec_from_file_location('__init__', config_path) + config = importlib.util.module_from_spec(spec) + spec.loader.exec_module(config) + return config + + +default_config_dict = { + 'manual_seed': 1313, + 'model_source': 'bert-base-chinese', + 'window_size': 32, + 'num_workers': 2, + 'use_mask': True, + 'use_char_phoneme': False, + 'use_conditional': True, + 'param_conditional': { + 'affect_location': 'softmax', + 'bias': True, + 'char-linear': True, + 'pos-linear': False, + 'char+pos-second': True, + + 'char+pos-second_lowrank': False, + 'lowrank_size': 0, + 'char+pos-second_fm': False, + 'fm_size': 0, + 'fix_mode': None, + 'count_json': 'train.count.json' + }, + 'lr': 5e-5, + 'val_interval': 200, + 'num_iter': 10000, + 'use_focal': False, + 'param_focal': { + 'alpha': 0.0, + 'gamma': 0.7 + }, + 'use_pos': True, + 'param_pos ': { + 'weight': 0.1, + 'pos_joint_training': True, + 'train_pos_path': 'train.pos', + 'valid_pos_path': 'dev.pos', + 'test_pos_path': 'test.pos' + } +} + + +def load_config(config_path, use_default=False): + config = _load_config(config_path) + if use_default: + for attr, val in default_config_dict.items(): + if not hasattr(config, attr): + setattr(config, attr, val) + elif isinstance(val, dict): + d = getattr(config, attr) + for dict_k, dict_v in val.items(): + if dict_k not in d: + d[dict_k] = dict_v + return config + + +def get_logger(file_path): + logger = logging.getLogger() + logger.setLevel(logging.DEBUG) + + output_file_handler = logging.FileHandler(file_path) + stdout_handler = logging.StreamHandler(sys.stdout) + + logger.addHandler(output_file_handler) + logger.addHandler(stdout_handler) + return logger diff --git a/paddlespeech/t2s/frontend/polyphonic.yaml b/paddlespeech/t2s/frontend/polyphonic.yaml new file mode 100644 index 000000000..6b453d87b --- /dev/null +++ b/paddlespeech/t2s/frontend/polyphonic.yaml @@ -0,0 +1,5 @@ +polyphonic: + 湖泊: ['hu2','po1'] + 弹力: ['tan2','li4'] + 颤抖: ['chan4','dou3'] + 鸭绿江: ['ya1','lu4','jiang1'] \ No newline at end of file diff --git a/paddlespeech/t2s/frontend/zh_frontend.py b/paddlespeech/t2s/frontend/zh_frontend.py index ef8963c08..1399cb84b 100644 --- a/paddlespeech/t2s/frontend/zh_frontend.py +++ b/paddlespeech/t2s/frontend/zh_frontend.py @@ -12,6 +12,8 @@ # See the License for the specific language governing permissions and # limitations under the License. import re +import os +import yaml from typing import Dict from typing import List @@ -25,6 +27,7 @@ from pypinyin import load_single_dict from pypinyin import Style from pypinyin_dict.phrase_pinyin_data import large_pinyin +from paddlespeech.t2s.frontend.g2pw import G2PWOnnxConverter from paddlespeech.t2s.frontend.generate_lexicon import generate_lexicon from paddlespeech.t2s.frontend.tone_sandhi import ToneSandhi from paddlespeech.t2s.frontend.zh_normalization.text_normlization import TextNormalizer @@ -53,9 +56,24 @@ def insert_after_character(lst, item): return result +class Polyphonic(): + def __init__(self): + with open(os.path.join(os.path.dirname(os.path.abspath(__file__)), + 'polyphonic.yaml'), 'r',encoding='utf-8') as polyphonic_file: + # 解析yaml + polyphonic_dict = yaml.load(polyphonic_file, Loader=yaml.FullLoader) + self.polyphonic_words = polyphonic_dict["polyphonic"] + + def correct_pronunciation(self,word,pinyin): + # 词汇被词典收录则返回纠正后的读音 + if word in self.polyphonic_words.keys(): + pinyin = self.polyphonic_words[word] + # 否则返回原读音 + return pinyin + class Frontend(): def __init__(self, - g2p_model="pypinyin", + g2p_model="g2pW", phone_vocab_path=None, tone_vocab_path=None): self.tone_modifier = ToneSandhi() @@ -67,6 +85,12 @@ class Frontend(): self.g2pM_model = G2pM() self.pinyin2phone = generate_lexicon( with_tone=True, with_erhua=False) + elif self.g2p_model == "g2pW": + self.corrector = Polyphonic() + self.g2pW_model = G2PWOnnxConverter(style='pinyin', enable_non_tradional_chinese=True) + self.pinyin2phone = generate_lexicon( + with_tone=True, with_erhua=False) + else: self.__init__pypinyin() self.must_erhua = {"小院儿", "胡同儿", "范儿", "老汉儿", "撒欢儿", "寻老礼儿", "妥妥儿"} @@ -150,27 +174,65 @@ class Frontend(): phones_list = [] for seg in segments: phones = [] + initials = [] + finals = [] # Replace all English words in the sentence seg = re.sub('[a-zA-Z]+', '', seg) seg_cut = psg.lcut(seg) - initials = [] - finals = [] seg_cut = self.tone_modifier.pre_merge_for_modify(seg_cut) - for word, pos in seg_cut: - if pos == 'eng': - continue - sub_initials, sub_finals = self._get_initials_finals(word) - sub_finals = self.tone_modifier.modified_tone(word, pos, - sub_finals) - if with_erhua: - sub_initials, sub_finals = self._merge_erhua( - sub_initials, sub_finals, word, pos) - initials.append(sub_initials) - finals.append(sub_finals) - # assert len(sub_initials) == len(sub_finals) == len(word) + if self.g2p_model == "g2pW": + pinyins = self.g2pW_model(seg)[0] + pre_word_length = 0 + for word, pos in seg_cut: + sub_initials = [] + sub_finals = [] + now_word_length = pre_word_length + len(word) + if pos == 'eng': + pre_word_length = now_word_length + continue + word_pinyins = pinyins[pre_word_length:now_word_length] + # 矫正发音 + word_pinyins = self.corrector.correct_pronunciation(word,word_pinyins) + for pinyin,char in zip(word_pinyins,word): + if pinyin == None: + pinyin = char + pinyin = pinyin.replace("u:", "v") + if pinyin in self.pinyin2phone: + initial_final_list = self.pinyin2phone[pinyin].split(" ") + if len(initial_final_list) == 2: + sub_initials.append(initial_final_list[0]) + sub_finals.append(initial_final_list[1]) + elif len(initial_final_list) == 1: + sub_initials.append('') + sub_finals.append(initial_final_list[1]) + else: + # If it's not pinyin (possibly punctuation) or no conversion is required + sub_initials.append(pinyin) + sub_finals.append(pinyin) + pre_word_length = now_word_length + sub_finals = self.tone_modifier.modified_tone(word, pos, + sub_finals) + if with_erhua: + sub_initials, sub_finals = self._merge_erhua( + sub_initials, sub_finals, word, pos) + initials.append(sub_initials) + finals.append(sub_finals) + # assert len(sub_initials) == len(sub_finals) == len(word) + else: + for word, pos in seg_cut: + if pos == 'eng': + continue + sub_initials, sub_finals = self._get_initials_finals(word) + sub_finals = self.tone_modifier.modified_tone(word, pos, + sub_finals) + if with_erhua: + sub_initials, sub_finals = self._merge_erhua( + sub_initials, sub_finals, word, pos) + initials.append(sub_initials) + finals.append(sub_finals) + # assert len(sub_initials) == len(sub_finals) == len(word) initials = sum(initials, []) finals = sum(finals, []) - for c, v in zip(initials, finals): # NOTE: post process for pypinyin outputs # we discriminate i, ii and iii @@ -303,15 +365,15 @@ class Frontend(): print("----------------------------") return phonemes - def get_input_ids(self, - sentence: str, - merge_sentences: bool=True, - get_tone_ids: bool=False, - robot: bool=False, - print_info: bool=False, - add_blank: bool=False, - blank_token: str="", - to_tensor: bool=True) -> Dict[str, List[paddle.Tensor]]: + def get_input_ids( + self, + sentence: str, + merge_sentences: bool=True, + get_tone_ids: bool=False, + robot: bool=False, + print_info: bool=False, + add_blank: bool=False, + blank_token: str="") -> Dict[str, List[paddle.Tensor]]: phonemes = self.get_phonemes( sentence, merge_sentences=merge_sentences, @@ -322,22 +384,20 @@ class Frontend(): tones = [] temp_phone_ids = [] temp_tone_ids = [] - for part_phonemes in phonemes: phones, tones = self._get_phone_tone( part_phonemes, get_tone_ids=get_tone_ids) + if add_blank: phones = insert_after_character(phones, blank_token) + if tones: tone_ids = self._t2id(tones) - if to_tensor: - tone_ids = paddle.to_tensor(tone_ids) + tone_ids = paddle.to_tensor(tone_ids) temp_tone_ids.append(tone_ids) if phones: phone_ids = self._p2id(phones) - # if use paddle.to_tensor() in onnxruntime, the first time will be too low - if to_tensor: - phone_ids = paddle.to_tensor(phone_ids) + phone_ids = paddle.to_tensor(phone_ids) temp_phone_ids.append(phone_ids) if temp_tone_ids: result["tone_ids"] = temp_tone_ids diff --git a/setup.py b/setup.py index c1be724fb..ceb91dbc3 100644 --- a/setup.py +++ b/setup.py @@ -45,6 +45,7 @@ base = [ "matplotlib", "nara_wpe", "onnxruntime==1.10.0", + "opencc", "pandas", "paddlenlp", "paddlespeech_feat", @@ -60,6 +61,7 @@ base = [ "scipy", "sentencepiece~=0.1.96", "soundfile~=0.10", + "transformers==3.4.0", "textgrid", "timer", "tqdm", From e60a63fbdd43b0ebb0ea1203cf2e2de051148e38 Mon Sep 17 00:00:00 2001 From: BarryKCL Date: Sun, 7 Aug 2022 16:49:04 +0800 Subject: [PATCH 169/192] Rollback "get_input_ids" --- paddlespeech/t2s/frontend/zh_frontend.py | 33 +++++++++++++----------- 1 file changed, 18 insertions(+), 15 deletions(-) diff --git a/paddlespeech/t2s/frontend/zh_frontend.py b/paddlespeech/t2s/frontend/zh_frontend.py index 1399cb84b..516cc6e9a 100644 --- a/paddlespeech/t2s/frontend/zh_frontend.py +++ b/paddlespeech/t2s/frontend/zh_frontend.py @@ -174,11 +174,11 @@ class Frontend(): phones_list = [] for seg in segments: phones = [] - initials = [] - finals = [] # Replace all English words in the sentence seg = re.sub('[a-zA-Z]+', '', seg) seg_cut = psg.lcut(seg) + initials = [] + finals = [] seg_cut = self.tone_modifier.pre_merge_for_modify(seg_cut) if self.g2p_model == "g2pW": pinyins = self.g2pW_model(seg)[0] @@ -233,6 +233,7 @@ class Frontend(): # assert len(sub_initials) == len(sub_finals) == len(word) initials = sum(initials, []) finals = sum(finals, []) + for c, v in zip(initials, finals): # NOTE: post process for pypinyin outputs # we discriminate i, ii and iii @@ -365,15 +366,15 @@ class Frontend(): print("----------------------------") return phonemes - def get_input_ids( - self, - sentence: str, - merge_sentences: bool=True, - get_tone_ids: bool=False, - robot: bool=False, - print_info: bool=False, - add_blank: bool=False, - blank_token: str="") -> Dict[str, List[paddle.Tensor]]: + def get_input_ids(self, + sentence: str, + merge_sentences: bool=True, + get_tone_ids: bool=False, + robot: bool=False, + print_info: bool=False, + add_blank: bool=False, + blank_token: str="", + to_tensor: bool=True) -> Dict[str, List[paddle.Tensor]]: phonemes = self.get_phonemes( sentence, merge_sentences=merge_sentences, @@ -384,20 +385,22 @@ class Frontend(): tones = [] temp_phone_ids = [] temp_tone_ids = [] + for part_phonemes in phonemes: phones, tones = self._get_phone_tone( part_phonemes, get_tone_ids=get_tone_ids) - if add_blank: phones = insert_after_character(phones, blank_token) - if tones: tone_ids = self._t2id(tones) - tone_ids = paddle.to_tensor(tone_ids) + if to_tensor: + tone_ids = paddle.to_tensor(tone_ids) temp_tone_ids.append(tone_ids) if phones: phone_ids = self._p2id(phones) - phone_ids = paddle.to_tensor(phone_ids) + # if use paddle.to_tensor() in onnxruntime, the first time will be too low + if to_tensor: + phone_ids = paddle.to_tensor(phone_ids) temp_phone_ids.append(phone_ids) if temp_tone_ids: result["tone_ids"] = temp_tone_ids From 7b0f2a796df707288e18c7ce7d9b1c1b36c5e6c3 Mon Sep 17 00:00:00 2001 From: BarryKCL Date: Mon, 8 Aug 2022 10:23:14 +0800 Subject: [PATCH 170/192] change transformers to paddlenlp.transformers --- docs/requirements.txt | 1 - paddlespeech/t2s/frontend/g2pw/onnx_api.py | 2 +- setup.py | 1 - 3 files changed, 1 insertion(+), 3 deletions(-) diff --git a/docs/requirements.txt b/docs/requirements.txt index ec57bd0ec..ee116a9b6 100644 --- a/docs/requirements.txt +++ b/docs/requirements.txt @@ -37,7 +37,6 @@ soundfile~=0.10 textgrid timer tqdm -transformers==3.4.0 typeguard visualdl webrtcvad diff --git a/paddlespeech/t2s/frontend/g2pw/onnx_api.py b/paddlespeech/t2s/frontend/g2pw/onnx_api.py index 8f4e89adc..8861a80b2 100644 --- a/paddlespeech/t2s/frontend/g2pw/onnx_api.py +++ b/paddlespeech/t2s/frontend/g2pw/onnx_api.py @@ -5,7 +5,7 @@ import numpy as np from opencc import OpenCC -from transformers import BertTokenizer +from paddlenlp.transformers import BertTokenizer from paddlespeech.t2s.frontend.g2pw.dataset import prepare_data, prepare_onnx_input, get_phoneme_labels, get_char_phoneme_labels from paddlespeech.t2s.frontend.g2pw.utils import load_config diff --git a/setup.py b/setup.py index ceb91dbc3..373484fbc 100644 --- a/setup.py +++ b/setup.py @@ -61,7 +61,6 @@ base = [ "scipy", "sentencepiece~=0.1.96", "soundfile~=0.10", - "transformers==3.4.0", "textgrid", "timer", "tqdm", From d17b2ee1af6cc8eeb9cfd5a4d4b6c9f567578227 Mon Sep 17 00:00:00 2001 From: BarryKCL Date: Mon, 8 Aug 2022 11:58:15 +0800 Subject: [PATCH 171/192] add MANIFEST.in --- MANIFEST.in | 3 +++ setup.py | 2 +- 2 files changed, 4 insertions(+), 1 deletion(-) create mode 100644 MANIFEST.in diff --git a/MANIFEST.in b/MANIFEST.in new file mode 100644 index 000000000..a27241770 --- /dev/null +++ b/MANIFEST.in @@ -0,0 +1,3 @@ +include paddlespeech/t2s/exps/*.txt +include paddlespeech/t2s/frontend/*.yaml +include paddlespeech/t2s/frontend/g2pw/*.json \ No newline at end of file diff --git a/setup.py b/setup.py index 373484fbc..a8ebef4ff 100644 --- a/setup.py +++ b/setup.py @@ -330,4 +330,4 @@ setup_info = dict( }) with version_info(): - setup(**setup_info) + setup(**setup_info,include_package_data=True) From 744ea442791d147da5e48d81d8ec0db8a6e39c11 Mon Sep 17 00:00:00 2001 From: BarryKCL Date: Mon, 8 Aug 2022 17:46:36 +0800 Subject: [PATCH 172/192] add comment --- README.md | 1 + README_cn.md | 1 + .../g2pw/bopomofo_to_pinyin_wo_tune_dict.json | 1 - .../t2s/frontend/g2pw/char_bopomofo_dict.json | 136009 --------------- paddlespeech/t2s/frontend/g2pw/dataset.py | 9 +- paddlespeech/t2s/frontend/g2pw/onnx_api.py | 20 +- paddlespeech/t2s/frontend/g2pw/utils.py | 40 +- paddlespeech/t2s/frontend/zh_frontend.py | 11 +- 8 files changed, 35 insertions(+), 136057 deletions(-) delete mode 100644 paddlespeech/t2s/frontend/g2pw/bopomofo_to_pinyin_wo_tune_dict.json delete mode 100644 paddlespeech/t2s/frontend/g2pw/char_bopomofo_dict.json diff --git a/README.md b/README.md index e93aa1d9c..e35289e2b 100644 --- a/README.md +++ b/README.md @@ -699,6 +699,7 @@ You are warmly welcome to submit questions in [discussions](https://github.com/P ## Acknowledgement +- Many thanks to [BarryKCL](https://github.com/BarryKCL) improved TTS Chinses frontend based on [G2PW](https://github.com/GitYCC/g2pW) - Many thanks to [yeyupiaoling](https://github.com/yeyupiaoling)/[PPASR](https://github.com/yeyupiaoling/PPASR)/[PaddlePaddle-DeepSpeech](https://github.com/yeyupiaoling/PaddlePaddle-DeepSpeech)/[VoiceprintRecognition-PaddlePaddle](https://github.com/yeyupiaoling/VoiceprintRecognition-PaddlePaddle)/[AudioClassification-PaddlePaddle](https://github.com/yeyupiaoling/AudioClassification-PaddlePaddle) for years of attention, constructive advice and great help. - Many thanks to [mymagicpower](https://github.com/mymagicpower) for the Java implementation of ASR upon [short](https://github.com/mymagicpower/AIAS/tree/main/3_audio_sdks/asr_sdk) and [long](https://github.com/mymagicpower/AIAS/tree/main/3_audio_sdks/asr_long_audio_sdk) audio files. - Many thanks to [JiehangXie](https://github.com/JiehangXie)/[PaddleBoBo](https://github.com/JiehangXie/PaddleBoBo) for developing Virtual Uploader(VUP)/Virtual YouTuber(VTuber) with PaddleSpeech TTS function. diff --git a/README_cn.md b/README_cn.md index 896c575ce..1c6a949fd 100644 --- a/README_cn.md +++ b/README_cn.md @@ -833,6 +833,7 @@ PaddleSpeech 的 **语音合成** 主要包含三个模块：文本前端、声 ## 致谢 +- 非常感谢 [BarryKCL](https://github.com/BarryKCL)基于[G2PW](https://github.com/GitYCC/g2pW)对TTS中文文本前端的优化。 - 非常感谢 [yeyupiaoling](https://github.com/yeyupiaoling)/[PPASR](https://github.com/yeyupiaoling/PPASR)/[PaddlePaddle-DeepSpeech](https://github.com/yeyupiaoling/PaddlePaddle-DeepSpeech)/[VoiceprintRecognition-PaddlePaddle](https://github.com/yeyupiaoling/VoiceprintRecognition-PaddlePaddle)/[AudioClassification-PaddlePaddle](https://github.com/yeyupiaoling/AudioClassification-PaddlePaddle) 多年来的关注和建议，以及在诸多问题上的帮助。 - 非常感谢 [mymagicpower](https://github.com/mymagicpower) 采用PaddleSpeech 对 ASR 的[短语音](https://github.com/mymagicpower/AIAS/tree/main/3_audio_sdks/asr_sdk)及[长语音](https://github.com/mymagicpower/AIAS/tree/main/3_audio_sdks/asr_long_audio_sdk)进行 Java 实现。 - 非常感谢 [JiehangXie](https://github.com/JiehangXie)/[PaddleBoBo](https://github.com/JiehangXie/PaddleBoBo) 采用 PaddleSpeech 语音合成功能实现 Virtual Uploader(VUP)/Virtual YouTuber(VTuber) 虚拟主播。 diff --git a/paddlespeech/t2s/frontend/g2pw/bopomofo_to_pinyin_wo_tune_dict.json b/paddlespeech/t2s/frontend/g2pw/bopomofo_to_pinyin_wo_tune_dict.json deleted file mode 100644 index 7d52bb851..000000000 --- a/paddlespeech/t2s/frontend/g2pw/bopomofo_to_pinyin_wo_tune_dict.json +++ /dev/null @@ -1 +0,0 @@ -{"ㄌㄧㄥ": "ling", "ㄩㄢ": "yuan", "ㄒㄧㄥ": "xing", "ㄑㄧㄡ": "qiu", "ㄊㄧㄢ": "tian", "ㄎㄨㄚ": "kua", "ㄨ": "wu", "ㄧㄣ": "yin", "ㄧ": "yi", "ㄒㄧㄝ": "xie", "ㄔㄡ": "chou", "ㄋㄨㄛ": "nuo", "ㄉㄢ": "dan", "ㄒㄩ": "xu", "ㄒㄩㄥ": "xiong", "ㄌㄧㄡ": "liu", "ㄌㄧㄣ": "lin", "ㄒㄧㄤ": "xiang", "ㄩㄥ": "yong", "ㄒㄧㄣ": "xin", "ㄓㄣ": "zhen", "ㄉㄞ": "dai", "ㄆㄢ": "pan", "ㄖㄨ": "ru", "ㄇㄚ": "ma", "ㄑㄧㄢ": "qian", "ㄘ": "ci", "ㄓㄨㄥ": "zhong", "ㄋㄟ": "nei", "ㄔㄥ": "cheng", "ㄈㄥ": "feng", "ㄓㄨㄛ": "zhuo", "ㄈㄤ": "fang", "ㄠ": "ao", "ㄗㄨㄛ": "zuo", "ㄓㄡ": "zhou", "ㄉㄨㄥ": "dong", "ㄙㄨ": "su", "ㄑㄩㄥ": "qiong", "ㄎㄨㄤ": "kuang", "ㄨㄤ": "wang", "ㄌㄟ": "lei", "ㄋㄠ": "nao", "ㄓㄨ": "zhu", "ㄕㄨ": "shu", "ㄕㄣ": "shen", "ㄐㄧㄝ": "jie", "ㄉㄧㄝ": "die", "ㄔ": "chi", "ㄌㄨㄥ": "long", "ㄧㄥ": "ying", "ㄅㄥ": "beng", "ㄌㄢ": "lan", "ㄇㄧㄠ": "miao", "ㄌㄧ": "li", "ㄐㄧ": "ji", "ㄩ": "yu", "ㄌㄨㄛ": "luo", "ㄔㄞ": "chai", "ㄏㄨㄣ": "hun", "ㄏㄨㄟ": "hui", "ㄖㄠ": "rao", "ㄏㄢ": "han", "ㄒㄧ": "xi", "ㄊㄞ": "tai", "ㄧㄠ": "yao", "ㄐㄩㄣ": "jun", "ㄌㄩㄝ": "lve", "ㄊㄤ": "tang", "ㄓㄠ": "zhao", "ㄓㄞ": "zhai", "ㄓㄚ": "zha", "ㄦ": "er", "ㄖㄢ": "ran", "ㄑㄧ": "qi", "ㄙㄜ": "se", "ㄙ": "si", "ㄙㄚ": "sa", "ㄎㄨㄟ": "kui", "ㄆㄨ": "pu", "ㄊㄚ": "ta", "ㄉㄨ": "du", "ㄊㄨ": "tu", "ㄧㄤ": "yang", "ㄡ": "ou", "ㄇㄧㄢ": "mian", "ㄨㄣ": "wen", "ㄉㄧㄠ": "diao", "ㄇㄧㄝ": "mie", "ㄨㄚ": "wa", "ㄋㄧㄠ": "niao", "ㄧㄡ": "you", "ㄔㄜ": "che", "ㄑㄩㄢ": "quan", "ㄘㄞ": "cai", "ㄌㄧㄤ": "liang", "ㄍㄨ": "gu", "ㄇㄠ": "mao", "ㄍㄨㄚ": "gua", "ㄙㄨㄟ": "sui", "ㄇㄢ": "man", "ㄕ": "shi", "ㄎㄡ": "kou", "ㄊㄧㄥ": "ting", "ㄅㄧㄥ": "bing", "ㄏㄨㄛ": "huo", "ㄍㄨㄥ": "gong", "ㄑㄧㄣ": "qin", "ㄐㄩㄥ": "jiong", "ㄌㄨ": "lu", "ㄋㄢ": "nan", "ㄅㄧ": "bi", "ㄑㄧㄚ": "qia", "ㄆㄧ": "pi", "ㄉㄧㄢ": "dian", "ㄈㄨ": "fu", "ㄍㄜ": "ge", "ㄅㄞ": "bai", "ㄍㄢ": "gan", "ㄒㄩㄢ": "xuan", "ㄌㄤ": "lang", "ㄕㄜ": "she", "ㄏㄨㄚ": "hua", "ㄊㄡ": "tou", "ㄆㄧㄢ": "pian", "ㄉㄧ": "di", "ㄖㄨㄢ": "ruan", "ㄜ": "e", "ㄑㄧㄝ": "qie", "ㄉㄡ": "dou", "ㄖㄨㄟ": "rui", "ㄘㄨㄟ": "cui", "ㄐㄧㄢ": "jian", "ㄔㄨㄥ": "chong", "ㄉㄥ": "deng", "ㄐㄩㄝ": "jue", "ㄒㄩㄝ": "xue", "ㄒㄧㄠ": "xiao", "ㄗㄢ": "zan", "ㄓㄢ": "zhan", "ㄗㄡ": "zou", "ㄘㄡ": "cou", "ㄔㄨㄚ": "chua", "ㄈㄟ": "fei", "ㄅㄟ": "bei", "ㄔㄨ": "chu", "ㄅㄚ": "ba", "ㄎㄨㄞ": "kuai", "ㄒㄧㄚ": "xia", "ㄏㄜ": "he", "ㄅㄧㄝ": "bie", "ㄌㄩ": "lv", "ㄙㄨㄢ": "suan", "ㄏㄥ": "heng", "ㄍㄨㄟ": "gui", "ㄌㄡ": "lou", "ㄊㄧ": "ti", "ㄌㄜ": "le", "ㄙㄨㄣ": "sun", "ㄒㄧㄢ": "xian", "ㄑㄩㄝ": "que", "ㄓ": "zhi", "ㄐㄧㄚ": "jia", "ㄏㄨ": "hu", "ㄌㄚ": "la", "ㄎㄜ": "ke", "ㄞ": "ai", "ㄨㄟ": "wei", "ㄏㄨㄢ": "huan", "ㄕㄨㄚ": "shua", "ㄕㄨㄤ": "shuang", "ㄍㄞ": "gai", "ㄏㄞ": "hai", "ㄧㄢ": "yan", "ㄈㄢ": "fan", "ㄆㄤ": "pang", "ㄙㄨㄥ": "song", "ㄋㄜ": "ne", "ㄔㄣ": "chen", "ㄍㄨㄛ": "guo", "ㄣ": "en", "ㄋㄍ": "ng", "ㄆㄚ": "pa", "ㄈㄚ": "fa", "ㄆㄡ": "pou", "ㄏㄡ": "hou", "ㄑㄩ": "qu", "ㄒㄩㄣ": "xun", "ㄋㄧㄝ": "nie", "ㄏㄨㄥ": "hong", "ㄊㄨㄣ": "tun", "ㄨㄞ": "wai", "ㄕㄡ": "shou", "ㄧㄝ": "ye", "ㄐㄩ": "ju", "ㄙㄡ": "sou", "ㄌㄨㄣ": "lun", "ㄋㄧㄚ": "nia", "ㄆㄣ": "pen", "ㄈㄣ": "fen", "ㄔㄨㄣ": "chun", "ㄋㄧㄡ": "niu", "ㄖㄡ": "rou", "ㄉㄨㄛ": "duo", "ㄗㄜ": "ze", "ㄕㄥ": "sheng", "ㄎㄨ": "ku", "ㄧㄚ": "ya", "ㄓㄨㄟ": "zhui", "ㄍㄡ": "gou", "ㄅㄛ": "bo", "ㄋㄚ": "na", "ㄒㄧㄡ": "xiu", "ㄘㄨ": "cu", "ㄎㄨㄛ": "kuo", "ㄌㄠ": "lao", "ㄘㄨㄥ": "cong", "ㄉㄚ": "da", "ㄆㄛ": "po", "ㄙㄞ": "sai", "ㄌㄥ": "leng", "ㄖㄨㄥ": "rong", "ㄋㄧ": "ni", "ㄆㄠ": "pao", "ㄎㄢ": "kan", "ㄨㄥ": "weng", "ㄨㄢ": "wan", "ㄏㄠ": "hao", "ㄐㄧㄥ": "jing", "ㄊㄢ": "tan", "ㄅㄨ": "bu", "ㄗㄤ": "zang", "ㄐㄧㄡ": "jiu", "ㄇㄟ": "mei", "ㄇㄨ": "mu", "ㄉㄨㄟ": "dui", "ㄅㄤ": "bang", "ㄅㄠ": "bao", "ㄔㄤ": "chang", "ㄓㄤ": "zhang", "ㄗㄨㄥ": "zong", "ㄍㄨㄣ": "gun", "ㄌㄧㄠ": "liao", "ㄔㄢ": "chan", "ㄓㄜ": "zhe", "ㄇㄥ": "meng", "ㄑㄧㄠ": "qiao", "ㄋㄤ": "nang", "ㄩㄣ": "yun", "ㄎㄞ": "kai", "ㄍㄠ": "gao", "ㄊㄠ": "tao", "ㄕㄢ": "shan", "ㄌㄞ": "lai", "ㄅㄢ": "ban", "ㄎㄨㄥ": "kong", "ㄔㄨㄛ": "chuo", "ㄋㄨ": "nu", "ㄆㄟ": "pei", "ㄆㄥ": "peng", "ㄘㄢ": "can", "ㄙㄨㄛ": "suo", "ㄊㄨㄥ": "tong", "ㄑㄧㄤ": "qiang", "ㄙㄠ": "sao", "ㄓㄨㄢ": "zhuan", "ㄢ": "an", "ㄔㄚ": "cha", "ㄕㄚ": "sha", "ㄌㄧㄢ": "lian", "ㄇㄧ": "mi", "ㄋㄡ": "nou", "ㄘㄠ": "cao", "ㄙㄣ": "sen", "ㄋㄣ": "nen", "ㄋㄧㄢ": "nian", "ㄇㄞ": "mai", "ㄩㄝ": "yue", "ㄋㄞ": "nai", "ㄏㄨㄞ": "huai", "ㄗ": "zi", "ㄌㄨㄢ": "luan", "ㄉㄧㄥ": "ding", "ㄇㄤ": "mang", "ㄋㄧㄥ": "ning", "ㄇㄧㄥ": "ming", "ㄗㄨㄟ": "zui", "ㄎㄤ": "kang", "ㄉㄜ": "de", "ㄅㄧㄢ": "bian", "ㄐㄧㄣ": "jin", "ㄔㄨㄟ": "chui", "ㄊㄨㄟ": "tui", "ㄗㄚ": "za", "ㄘㄣ": "cen", "ㄇㄧㄣ": "min", "ㄏㄨㄤ": "huang", "ㄗㄨ": "zu", "ㄘㄨㄛ": "cuo", "ㄊㄨㄛ": "tuo", "ㄑㄩㄣ": "qun", "ㄅㄧㄣ": "bin", "ㄊㄧㄠ": "tiao", "ㄍㄤ": "gang", "ㄉㄨㄢ": "duan", "ㄅㄧㄠ": "biao", "ㄉㄠ": "dao", "ㄖㄨㄣ": "run", "ㄐㄧㄠ": "jiao", "ㄨㄛ": "wo", "ㄘㄨㄢ": "cuan", "ㄖㄣ": "ren", "ㄇㄣ": "men", "ㄓㄨㄣ": "zhun", "ㄎㄨㄣ": "kun", "ㄔㄨㄤ": "chuang", "ㄗㄠ": "zao", "ㄓㄥ": "zheng", "ㄆㄧㄣ": "pin", "ㄅㄣ": "ben", "ㄐㄧㄤ": "jiang", "ㄐㄩㄢ": "juan", "ㄘㄥ": "ceng", "ㄏㄤ": "hang", "ㄋㄧㄣ": "nin", "ㄌㄧㄝ": "lie", "ㄍㄨㄤ": "guang", "ㄙㄢ": "san", "ㄊㄜ": "te", "ㄕㄨㄣ": "shun", "ㄕㄨㄟ": "shui", "ㄔㄠ": "chao", "ㄘㄜ": "ce", "ㄍㄨㄞ": "guai", "ㄎㄥ": "keng", "ㄕㄞ": "shai", "ㄉㄣ": "den", "ㄊㄨㄢ": "tuan", "ㄆㄧㄠ": "piao", "ㄑㄧㄥ": "qing", "ㄍㄥ": "geng", "ㄔㄨㄞ": "chuai", "ㄕㄠ": "shao", "ㄍㄣ": "gen", "ㄋㄨㄢ": "nuan", "ㄖㄥ": "reng", "ㄇㄡ": "mou", "ㄆㄞ": "pai", "ㄤ": "ang", "ㄎㄚ": "ka", "ㄍㄨㄢ": "guan", "ㄕㄨㄛ": "shuo", "ㄏㄣ": "hen", "ㄔㄨㄢ": "chuan", "ㄎㄨㄢ": "kuan", "ㄏㄟ": "hei", "ㄇㄛ": "mo", "ㄗㄞ": "zai", "ㄋㄥ": "neng", "ㄕㄨㄞ": "shuai", "ㄖㄜ": "re", "ㄋㄩ": "nv", "ㄆㄧㄥ": "ping", "ㄘㄤ": "cang", "ㄋㄨㄥ": "nong", "ㄎㄠ": "kao", "ㄗㄨㄢ": "zuan", "ㄎㄣ": "ken", "ㄍㄚ": "ga", "ㄗㄣ": "zen", "ㄉㄤ": "dang", "ㄗㄥ": "zeng", "ㄉㄨㄣ": "dun", "ㄘㄚ": "ca", "ㄖㄤ": "rang", "ㄘㄨㄣ": "cun", "ㄖㄨㄛ": "ruo", "ㄊㄧㄝ": "tie", "ㄊㄥ": "teng", "ㄙㄥ": "seng", "ㄖ": "ri", "ㄗㄨㄣ": "zun", "ㄋㄧㄤ": "niang", "ㄋㄩㄝ": "nve", "ㄙㄤ": "sang", "ㄓㄨㄤ": "zhuang", "ㄕㄤ": "shang", "ㄆㄧㄝ": "pie", "ㄕㄨㄢ": "shuan", "ㄈㄡ": "fou", "ㄉㄧㄡ": "diu", "ㄇㄜ": "me", "ㄈㄛ": "fo", "ㄌㄧㄚ": "lia", "ㄎㄟ": "kei", "ㄏㄚ": "ha", "ㄚ": "a", "ㄌㄛ": "lo", "ㄧㄛ": "yo", "ㄛ": "o", "ㄏㄋㄍ": "hng", "ㄋ": "n", "ㄌㄣ": "len", "ㄉㄧㄚ": "dia", "ㄇㄧㄡ": "miu", "ㄉㄟ": "dei", "ㄏㄇ": "hm", "ㄋㄨㄣ": "nun", "ㄓㄨㄞ": "zhuai", "ㄊㄟ": "tei", "ㄗㄟ": "zei", "ㄓㄨㄚ": "zhua", "ㄖㄨㄚ": "rua", "ê": "ê", "ㄟ": "ei", "ㄍㄟ": "gei", "ㄈㄧㄠ": "fiao", "ㄕㄟ": "shei", "ㄓㄟ": "zhei", "ㄥ": "eng", "ㄘㄟ": "cei", "ㄉㄧㄣ": "din", "ㄅㄧㄤ": "biang", "ㄧㄞ": "yai"} \ No newline at end of file diff --git a/paddlespeech/t2s/frontend/g2pw/char_bopomofo_dict.json b/paddlespeech/t2s/frontend/g2pw/char_bopomofo_dict.json deleted file mode 100644 index 83c5cebb9..000000000 --- a/paddlespeech/t2s/frontend/g2pw/char_bopomofo_dict.json +++ /dev/null @@ -1,136009 +0,0 @@ -{ - "〇": [ - "ㄌㄧㄥ2", - "ㄩㄢ2", - "ㄒㄧㄥ1" - ], - "㐀": [ - "ㄑㄧㄡ1" - ], - "㐁": [ - "ㄊㄧㄢ4" - ], - "㐄": [ - "ㄎㄨㄚ4" - ], - "㐅": [ - "ㄨ3" - ], - "㐆": [ - "ㄧㄣ3" - ], - "㐌": [ - "ㄧ2" - ], - "㐖": [ - "ㄒㄧㄝ2" - ], - "㐜": [ - "ㄔㄡ2" - ], - "㐡": [ - "ㄋㄨㄛ4" - ], - "㐤": [ - "ㄉㄢ1", - "ㄑㄧㄡ2" - ], - "㐨": [ - "ㄒㄩ4" - ], - "㐩": [ - "ㄒㄧㄥ2" - ], - "㐫": [ - "ㄒㄩㄥ1" - ], - "㐬": [ - "ㄌㄧㄡ2" - ], - "㐭": [ - "ㄌㄧㄣ3" - ], - "㐮": [ - "ㄒㄧㄤ1" - ], - "㐯": [ - "ㄩㄥ1" - ], - "㐰": [ - "ㄒㄧㄣ4" - ], - "㐱": [ - "ㄓㄣ3" - ], - "㐲": [ - "ㄉㄞ4" - ], - "㐳": [ - "ㄨ4" - ], - "㐴": [ - "ㄆㄢ1" - ], - "㐵": [ - "ㄖㄨ2" - ], - "㐷": [ - "ㄇㄚ3" - ], - "㐸": [ - "ㄑㄧㄢ4", - "ㄘ4" - ], - "㐹": [ - "ㄧ4" - ], - "㐺": [ - "ㄧㄣ2", - "ㄓㄨㄥ4" - ], - "㐻": [ - "ㄋㄟ4" - ], - "㐼": [ - "ㄔㄥ4" - ], - "㐽": [ - "ㄈㄥ1" - ], - "㑁": [ - "ㄓㄨㄛ1" - ], - "㑂": [ - "ㄈㄤ3" - ], - "㑃": [ - "ㄠ3" - ], - "㑄": [ - "ㄨ3" - ], - "㑅": [ - "ㄗㄨㄛ4" - ], - "㑇": [ - "ㄓㄡ4" - ], - "㑈": [ - "ㄉㄨㄥ4" - ], - "㑉": [ - "ㄙㄨ4" - ], - "㑊": [ - "ㄧ4" - ], - "㑋": [ - "ㄑㄩㄥ2" - ], - "㑌": [ - "ㄎㄨㄤ1", - "ㄨㄤ1" - ], - "㑍": [ - "ㄌㄟ4" - ], - "㑎": [ - "ㄋㄠ3" - ], - "㑏": [ - "ㄓㄨ4" - ], - "㑐": [ - "ㄕㄨ1" - ], - "㑔": [ - "ㄒㄩ3" - ], - "㑗": [ - "ㄕㄣ1" - ], - "㑘": [ - "ㄐㄧㄝ4" - ], - "㑙": [ - "ㄉㄧㄝ2" - ], - "㑚": [ - "ㄋㄨㄛ2" - ], - "㑛": [ - "ㄙㄨ4" - ], - "㑜": [ - "ㄧ4", - "ㄔ4" - ], - "㑝": [ - "ㄌㄨㄥ4" - ], - "㑞": [ - "ㄧㄥ4" - ], - "㑟": [ - "ㄅㄥ3" - ], - "㑣": [ - "ㄌㄢ2" - ], - "㑤": [ - "ㄇㄧㄠ2" - ], - "㑥": [ - "ㄧ4" - ], - "㑦": [ - "ㄌㄧ4" - ], - "㑧": [ - "ㄐㄧ4" - ], - "㑨": [ - "ㄩ3" - ], - "㑩": [ - "ㄌㄨㄛ2" - ], - "㑪": [ - "ㄔㄞ2" - ], - "㑮": [ - "ㄏㄨㄣ2" - ], - "㑯": [ - "ㄒㄩ3" - ], - "㑰": [ - "ㄏㄨㄟ4" - ], - "㑱": [ - "ㄖㄠ3" - ], - "㑳": [ - "ㄓㄡ4", - "ㄓㄨ1" - ], - "㑵": [ - "ㄏㄢ4" - ], - "㑶": [ - "ㄒㄧ4" - ], - "㑷": [ - "ㄊㄞ4" - ], - "㑸": [ - "ㄧㄠ2" - ], - "㑹": [ - "ㄏㄨㄟ4" - ], - "㑺": [ - "ㄐㄩㄣ4" - ], - "㑻": [ - "ㄇㄚ4" - ], - "㑼": [ - "ㄌㄩㄝ4" - ], - "㑽": [ - "ㄊㄤ2" - ], - "㑾": [ - "ㄧㄠ2" - ], - "㑿": [ - "ㄓㄠ4" - ], - "㒀": [ - "ㄓㄞ1", - "ㄓㄚ3" - ], - "㒁": [ - "ㄩ3" - ], - "㒂": [ - "ㄓㄨㄛ2" - ], - "㒃": [ - "ㄦ4" - ], - "㒄": [ - "ㄖㄢ3" - ], - "㒅": [ - "ㄑㄧ3" - ], - "㒆": [ - "ㄔ4" - ], - "㒇": [ - "ㄨ3" - ], - "㒈": [ - "ㄏㄢ4" - ], - "㒉": [ - "ㄊㄤ3" - ], - "㒊": [ - "ㄙㄜ4" - ], - "㒋": [ - "ㄙ1" - ], - "㒌": [ - "ㄑㄩㄥ2" - ], - "㒍": [ - "ㄌㄟ2" - ], - "㒎": [ - "ㄙㄚ4" - ], - "㒑": [ - "ㄎㄨㄟ3", - "ㄏㄨㄟ4" - ], - "㒒": [ - "ㄆㄨ2" - ], - "㒓": [ - "ㄊㄚ4" - ], - "㒔": [ - "ㄕㄨ2", - "ㄉㄨ2", - "ㄊㄨ4" - ], - "㒕": [ - "ㄧㄤ1" - ], - "㒖": [ - "ㄡ3" - ], - "㒗": [ - "ㄊㄞ2" - ], - "㒙": [ - "ㄇㄧㄢ2" - ], - "㒚": [ - "ㄧㄣ4", - "ㄨㄣ3" - ], - "㒛": [ - "ㄉㄧㄠ4" - ], - "㒜": [ - "ㄩ3" - ], - "㒝": [ - "ㄇㄧㄝ4", - "ㄨㄚ4" - ], - "㒞": [ - "ㄐㄩㄣ4" - ], - "㒟": [ - "ㄋㄧㄠ3" - ], - "㒠": [ - "ㄒㄧㄝ4" - ], - "㒡": [ - "ㄧㄡ2" - ], - "㒤": [ - "ㄔㄜ4" - ], - "㒥": [ - "ㄈㄥ1" - ], - "㒦": [ - "ㄌㄟ3", - "ㄌㄟ4" - ], - "㒧": [ - "ㄌㄧ4" - ], - "㒩": [ - "ㄌㄨㄛ3" - ], - "㒫": [ - "ㄐㄧ4" - ], - "㒰": [ - "ㄑㄩㄢ2" - ], - "㒲": [ - "ㄘㄞ2" - ], - "㒳": [ - "ㄌㄧㄤ3" - ], - "㒴": [ - "ㄍㄨ3" - ], - "㒵": [ - "ㄇㄠ4" - ], - "㒷": [ - "ㄍㄨㄚ3" - ], - "㒸": [ - "ㄙㄨㄟ4" - ], - "㒻": [ - "ㄇㄠ4" - ], - "㒼": [ - "ㄇㄢ2" - ], - "㒽": [ - "ㄑㄩㄢ1" - ], - "㒾": [ - "ㄕ4" - ], - "㒿": [ - "ㄌㄧ2" - ], - "㓁": [ - "ㄨㄤ3" - ], - "㓂": [ - "ㄎㄡ4" - ], - "㓃": [ - "ㄉㄨ4" - ], - "㓄": [ - "ㄓㄣ4" - ], - "㓅": [ - "ㄊㄧㄥ1" - ], - "㓈": [ - "ㄅㄧㄥ4" - ], - "㓉": [ - "ㄏㄨㄛ4" - ], - "㓊": [ - "ㄉㄨㄥ4" - ], - "㓋": [ - "ㄍㄨㄥ4" - ], - "㓌": [ - "ㄔㄥ1" - ], - "㓎": [ - "ㄑㄧㄣ1", - "ㄑㄧㄣ4", - "ㄑㄧㄣ3" - ], - "㓏": [ - "ㄐㄩㄥ3" - ], - "㓐": [ - "ㄌㄨ4" - ], - "㓑": [ - "ㄒㄧㄥ4" - ], - "㓓": [ - "ㄋㄢ2" - ], - "㓔": [ - "ㄒㄧㄝ4" - ], - "㓖": [ - "ㄅㄧ4" - ], - "㓗": [ - "ㄐㄧㄝ2" - ], - "㓘": [ - "ㄙㄨ4" - ], - "㓚": [ - "ㄍㄨㄥ1" - ], - "㓜": [ - "ㄧㄡ4" - ], - "㓝": [ - "ㄒㄧㄥ2" - ], - "㓞": [ - "ㄑㄧㄚ4" - ], - "㓟": [ - "ㄆㄧ2" - ], - "㓠": [ - "ㄉㄧㄢ4", - "ㄉㄧㄢ3" - ], - "㓡": [ - "ㄈㄨ3", - "ㄍㄨㄚ1" - ], - "㓢": [ - "ㄌㄨㄛ4" - ], - "㓣": [ - "ㄑㄧㄚ4", - "ㄍㄜ1" - ], - "㓤": [ - "ㄑㄧㄚ4" - ], - "㓥": [ - "ㄊㄤ1" - ], - "㓦": [ - "ㄅㄞ1" - ], - "㓧": [ - "ㄍㄢ1" - ], - "㓨": [ - "ㄘ2" - ], - "㓩": [ - "ㄒㄩㄢ1", - "ㄐㄧㄝ1" - ], - "㓪": [ - "ㄌㄤ3" - ], - "㓭": [ - "ㄕㄜ2" - ], - "㓮": [ - "ㄉㄧㄠ1" - ], - "㓯": [ - "ㄌㄧ2" - ], - "㓰": [ - "ㄏㄨㄚ4" - ], - "㓱": [ - "ㄊㄡ2", - "ㄕㄨ1" - ], - "㓲": [ - "ㄆㄧㄢ1" - ], - "㓳": [ - "ㄉㄧ1" - ], - "㓴": [ - "ㄖㄨㄢ3" - ], - "㓵": [ - "ㄜ4" - ], - "㓶": [ - "ㄑㄧㄝ4" - ], - "㓷": [ - "ㄧ4" - ], - "㓸": [ - "ㄓㄨㄛ1", - "ㄉㄡ1" - ], - "㓹": [ - "ㄖㄨㄟ4", - "ㄘㄨㄟ4", - "ㄐㄧ4" - ], - "㓺": [ - "ㄐㄧㄢ1", - "ㄑㄧㄢ2" - ], - "㓼": [ - "ㄔ4" - ], - "㓽": [ - "ㄔㄨㄥ2" - ], - "㓾": [ - "ㄒㄧ1", - "ㄔ2" - ], - "㔀": [ - "ㄌㄩㄝ4" - ], - "㔁": [ - "ㄉㄥ1" - ], - "㔂": [ - "ㄌㄧㄣ2" - ], - "㔃": [ - "ㄐㄩㄝ2", - "ㄒㄩㄝ1" - ], - "㔄": [ - "ㄙㄨ4" - ], - "㔅": [ - "ㄒㄧㄠ4" - ], - "㔆": [ - "ㄗㄢ4" - ], - "㔉": [ - "ㄓㄨ3" - ], - "㔊": [ - "ㄓㄢ3", - "ㄉㄢ3" - ], - "㔋": [ - "ㄐㄧㄢ1", - "ㄌㄢ2" - ], - "㔌": [ - "ㄗㄡ4", - "ㄘㄡ3" - ], - "㔍": [ - "ㄔㄨㄚ1", - "ㄓㄚ2" - ], - "㔎": [ - "ㄒㄧㄝ4" - ], - "㔏": [ - "ㄌㄧ4", - "ㄌㄨㄛ3" - ], - "㔑": [ - "ㄔ4" - ], - "㔒": [ - "ㄒㄧ2" - ], - "㔓": [ - "ㄐㄧㄢ3" - ], - "㔕": [ - "ㄐㄧ2" - ], - "㔗": [ - "ㄈㄟ4", - "ㄅㄟ4", - "ㄈㄨ2" - ], - "㔘": [ - "ㄔㄨ4" - ], - "㔙": [ - "ㄅㄥ1" - ], - "㔚": [ - "ㄐㄧㄝ2" - ], - "㔜": [ - "ㄅㄚ2" - ], - "㔝": [ - "ㄌㄧㄤ3", - "ㄌㄧㄤ2" - ], - "㔞": [ - "ㄎㄨㄞ4" - ], - "㔠": [ - "ㄒㄧㄚ1", - "ㄏㄜ2" - ], - "㔡": [ - "ㄅㄧㄝ1" - ], - "㔢": [ - "ㄐㄩㄝ2", - "ㄒㄩㄝ1" - ], - "㔣": [ - "ㄌㄟ2" - ], - "㔤": [ - "ㄒㄧㄣ4" - ], - "㔥": [ - "ㄅㄞ4", - "ㄆㄧ2" - ], - "㔦": [ - "ㄧㄤ3" - ], - "㔧": [ - "ㄌㄩ4" - ], - "㔨": [ - "ㄅㄟ4" - ], - "㔩": [ - "ㄜ4" - ], - "㔪": [ - "ㄌㄨ3" - ], - "㔭": [ - "ㄔㄜ4" - ], - "㔮": [ - "ㄋㄨㄛ2" - ], - "㔯": [ - "ㄒㄩㄢ2", - "ㄙㄨㄢ3" - ], - "㔰": [ - "ㄏㄥ2" - ], - "㔱": [ - "ㄩ3" - ], - "㔳": [ - "ㄍㄨㄟ3" - ], - "㔴": [ - "ㄧ4" - ], - "㔵": [ - "ㄒㄩㄢ3" - ], - "㔶": [ - "ㄍㄨㄥ4", - "ㄍㄢ3" - ], - "㔷": [ - "ㄌㄡ4" - ], - "㔸": [ - "ㄊㄧ1" - ], - "㔹": [ - "ㄌㄜ4" - ], - "㔺": [ - "ㄕ4" - ], - "㔼": [ - "ㄙㄨㄣ3" - ], - "㔽": [ - "ㄧㄠ4" - ], - "㔾": [ - "ㄒㄧㄢ1", - "ㄐㄧㄝ2" - ], - "㔿": [ - "ㄗㄡ4" - ], - "㕁": [ - "ㄑㄩㄝ4" - ], - "㕂": [ - "ㄧㄣ2", - "ㄑㄧㄣ2" - ], - "㕃": [ - "ㄒㄧ1" - ], - "㕄": [ - "ㄓ3" - ], - "㕅": [ - "ㄐㄧㄚ2" - ], - "㕆": [ - "ㄏㄨ4" - ], - "㕇": [ - "ㄌㄚ1" - ], - "㕈": [ - "ㄧ3" - ], - "㕉": [ - "ㄎㄜ4" - ], - "㕊": [ - "ㄈㄨ1" - ], - "㕋": [ - "ㄑㄧㄣ2" - ], - "㕌": [ - "ㄞ4" - ], - "㕎": [ - "ㄎㄜ4" - ], - "㕏": [ - "ㄔㄨ2" - ], - "㕐": [ - "ㄒㄧㄝ3", - "ㄒㄧㄝ4" - ], - "㕑": [ - "ㄔㄨ2" - ], - "㕒": [ - "ㄨㄟ1" - ], - "㕕": [ - "ㄏㄨㄢ4" - ], - "㕖": [ - "ㄙㄨ4" - ], - "㕗": [ - "ㄧㄡ4" - ], - "㕙": [ - "ㄐㄩㄣ4" - ], - "㕚": [ - "ㄓㄠ3" - ], - "㕛": [ - "ㄒㄩ4" - ], - "㕜": [ - "ㄕ3" - ], - "㕞": [ - "ㄕㄨㄚ1" - ], - "㕟": [ - "ㄎㄨㄟ4", - "ㄎㄨㄞ4" - ], - "㕠": [ - "ㄕㄨㄤ1" - ], - "㕡": [ - "ㄏㄜ2" - ], - "㕢": [ - "ㄍㄞ4", - "ㄏㄞ4" - ], - "㕣": [ - "ㄧㄢ3" - ], - "㕤": [ - "ㄑㄧㄡ2" - ], - "㕥": [ - "ㄕㄣ1" - ], - "㕦": [ - "ㄏㄨㄚ4" - ], - "㕧": [ - "ㄒㄧ1" - ], - "㕨": [ - "ㄈㄢ4" - ], - "㕩": [ - "ㄆㄤ4" - ], - "㕪": [ - "ㄉㄢ3" - ], - "㕫": [ - "ㄈㄤ3", - "ㄈㄥ1" - ], - "㕬": [ - "ㄍㄨㄥ1", - "ㄙㄨㄥ4" - ], - "㕭": [ - "ㄠ1", - "ㄠ4" - ], - "㕮": [ - "ㄈㄨ3" - ], - "㕯": [ - "ㄋㄜ4" - ], - "㕰": [ - "ㄒㄩㄝ4", - "ㄇㄚ5" - ], - "㕱": [ - "ㄧㄡ2" - ], - "㕲": [ - "ㄏㄨㄚ2", - "ㄧㄥ2" - ], - "㕴": [ - "ㄔㄣ2" - ], - "㕵": [ - "ㄍㄨㄛ2" - ], - "㕶": [ - "ㄣ3", - "ㄋㄍ3" - ], - "㕷": [ - "ㄏㄨㄚ4", - "ㄆㄚ1" - ], - "㕸": [ - "ㄌㄧ4" - ], - "㕹": [ - "ㄈㄚ2" - ], - "㕺": [ - "ㄒㄧㄠ1" - ], - "㕻": [ - "ㄆㄡ3" - ], - "㕽": [ - "ㄙ4" - ], - "㖀": [ - "ㄌㄜ4" - ], - "㖁": [ - "ㄌㄧㄣ4" - ], - "㖂": [ - "ㄧ4" - ], - "㖃": [ - "ㄏㄡ3", - "ㄏㄡ4" - ], - "㖅": [ - "ㄒㄩ4" - ], - "㖆": [ - "ㄑㄩ2" - ], - "㖇": [ - "ㄦ2" - ], - "㖊": [ - "ㄒㄩㄣ2" - ], - "㖏": [ - "ㄋㄧㄝ4" - ], - "㖐": [ - "ㄨㄟ3" - ], - "㖑": [ - "ㄒㄧㄝ4" - ], - "㖒": [ - "ㄊㄧ2" - ], - "㖓": [ - "ㄏㄨㄥ2" - ], - "㖔": [ - "ㄊㄨㄣ3" - ], - "㖕": [ - "ㄋㄧㄝ4", - "ㄒㄧㄣ1" - ], - "㖖": [ - "ㄋㄧㄝ4" - ], - "㖗": [ - "ㄧㄣ2" - ], - "㖘": [ - "ㄓㄣ1" - ], - "㖞": [ - "ㄨㄞ1" - ], - "㖟": [ - "ㄕㄡ4" - ], - "㖠": [ - "ㄋㄨㄛ4" - ], - "㖡": [ - "ㄧㄝ4" - ], - "㖢": [ - "ㄑㄧ2" - ], - "㖣": [ - "ㄊㄡ4" - ], - "㖤": [ - "ㄏㄢ2" - ], - "㖥": [ - "ㄐㄩㄣ4" - ], - "㖦": [ - "ㄉㄨㄥ3" - ], - "㖧": [ - "ㄏㄨㄣ1", - "ㄨㄣ3" - ], - "㖨": [ - "ㄌㄨ4" - ], - "㖩": [ - "ㄐㄩ1", - "ㄙㄡ3" - ], - "㖪": [ - "ㄏㄨㄛ4", - "ㄍㄨㄛ2", - "ㄒㄩ4" - ], - "㖫": [ - "ㄌㄧㄥ2" - ], - "㖭": [ - "ㄊㄧㄢ3" - ], - "㖮": [ - "ㄌㄨㄣ2" - ], - "㖵": [ - "ㄍㄜ2" - ], - "㖶": [ - "ㄧㄢ1", - "ㄧㄝ4", - "ㄧㄣ1" - ], - "㖷": [ - "ㄕ2", - "ㄊㄧ2" - ], - "㖸": [ - "ㄒㄩㄝ2", - "ㄋㄧㄚ1" - ], - "㖹": [ - "ㄆㄣ1", - "ㄈㄣ4" - ], - "㖺": [ - "ㄔㄨㄣ3" - ], - "㖻": [ - "ㄋㄧㄡ2", - "ㄖㄡ4" - ], - "㖼": [ - "ㄉㄨㄛ3" - ], - "㖽": [ - "ㄗㄜ2" - ], - "㖾": [ - "ㄜ4" - ], - "㖿": [ - "ㄒㄧㄝ2", - "ㄧㄝ2" - ], - "㗀": [ - "ㄧㄡ1" - ], - "㗁": [ - "ㄜ4" - ], - "㗂": [ - "ㄕㄥ3" - ], - "㗃": [ - "ㄨㄣ3", - "ㄏㄨㄣ1" - ], - "㗄": [ - "ㄎㄨ1" - ], - "㗅": [ - "ㄏㄨ2" - ], - "㗆": [ - "ㄍㄜ2" - ], - "㗇": [ - "ㄒㄧㄚ2", - "ㄧㄚ5" - ], - "㗈": [ - "ㄇㄢ4" - ], - "㗉": [ - "ㄌㄩㄝ4", - "ㄜ4" - ], - "㗊": [ - "ㄐㄧ2", - "ㄌㄟ2" - ], - "㗋": [ - "ㄏㄡ2" - ], - "㗌": [ - "ㄓ4" - ], - "㗏": [ - "ㄨㄞ1" - ], - "㗑": [ - "ㄅㄞ5" - ], - "㗒": [ - "ㄞ4" - ], - "㗓": [ - "ㄓㄨㄟ1" - ], - "㗔": [ - "ㄑㄧㄢ1" - ], - "㗕": [ - "ㄍㄡ4", - "ㄍㄡ1" - ], - "㗖": [ - "ㄉㄢ4" - ], - "㗗": [ - "ㄅㄟ1" - ], - "㗘": [ - "ㄅㄛ2" - ], - "㗙": [ - "ㄔㄨ1", - "ㄋㄚ4", - "ㄓㄡ1" - ], - "㗚": [ - "ㄌㄧ4" - ], - "㗛": [ - "ㄒㄧㄠ4" - ], - "㗜": [ - "ㄒㄧㄡ4" - ], - "㗢": [ - "ㄏㄨㄥ2", - "ㄉㄨㄥ4", - "ㄏㄨㄥ4" - ], - "㗣": [ - "ㄊㄧ4" - ], - "㗤": [ - "ㄘㄨ4" - ], - "㗥": [ - "ㄎㄨㄛ4", - "ㄍㄨㄛ1" - ], - "㗦": [ - "ㄌㄠ2" - ], - "㗧": [ - "ㄓ4", - "ㄉㄧㄝ2" - ], - "㗨": [ - "ㄒㄧㄝ1", - "ㄞ3" - ], - "㗩": [ - "ㄒㄧ1" - ], - "㗫": [ - "ㄑㄧㄝ4" - ], - "㗬": [ - "ㄓㄚ1" - ], - "㗭": [ - "ㄒㄧ1" - ], - "㗰": [ - "ㄘㄨㄥ2" - ], - "㗱": [ - "ㄐㄧ2" - ], - "㗲": [ - "ㄏㄨㄛ4" - ], - "㗳": [ - "ㄊㄚ3", - "ㄉㄚ1" - ], - "㗴": [ - "ㄧㄢ2" - ], - "㗵": [ - "ㄒㄩ4" - ], - "㗶": [ - "ㄆㄛ1" - ], - "㗷": [ - "ㄙㄞ3" - ], - "㗻": [ - "ㄍㄨㄛ1" - ], - "㗼": [ - "ㄧㄝ4" - ], - "㗽": [ - "ㄒㄧㄤ3" - ], - "㗾": [ - "ㄒㄩㄝ1" - ], - "㗿": [ - "ㄏㄜ2", - "ㄒㄧㄚ4", - "ㄒㄧㄚ1" - ], - "㘀": [ - "ㄗㄨㄛ4" - ], - "㘁": [ - "ㄧ4" - ], - "㘂": [ - "ㄘ2" - ], - "㘄": [ - "ㄌㄥ1" - ], - "㘅": [ - "ㄒㄧㄢ2" - ], - "㘆": [ - "ㄊㄞ3" - ], - "㘇": [ - "ㄖㄨㄥ2" - ], - "㘈": [ - "ㄧ4", - "ㄋㄧ3" - ], - "㘉": [ - "ㄓ4" - ], - "㘊": [ - "ㄒㄧ1", - "ㄧ4" - ], - "㘋": [ - "ㄒㄧㄢ2" - ], - "㘌": [ - "ㄐㄩ4" - ], - "㘍": [ - "ㄐㄧ2" - ], - "㘎": [ - "ㄏㄢ3" - ], - "㘐": [ - "ㄆㄠ4" - ], - "㘑": [ - "ㄌㄧ4" - ], - "㘓": [ - "ㄌㄢ2" - ], - "㘔": [ - "ㄙㄞ3" - ], - "㘕": [ - "ㄏㄢ3", - "ㄌㄢ2" - ], - "㘖": [ - "ㄧㄢ2" - ], - "㘗": [ - "ㄑㄩ1" - ], - "㘙": [ - "ㄧㄢ2" - ], - "㘚": [ - "ㄏㄢ3" - ], - "㘛": [ - "ㄎㄢ1" - ], - "㘜": [ - "ㄔ3" - ], - "㘝": [ - "ㄋㄧㄝ4" - ], - "㘞": [ - "ㄏㄨㄛ4" - ], - "㘠": [ - "ㄅㄧ4" - ], - "㘡": [ - "ㄒㄧㄚ2" - ], - "㘢": [ - "ㄨㄥ3" - ], - "㘣": [ - "ㄒㄩㄢ2", - "ㄩㄢ2" - ], - "㘤": [ - "ㄨㄢ1" - ], - "㘥": [ - "ㄧㄡ2" - ], - "㘦": [ - "ㄑㄧㄣ2" - ], - "㘧": [ - "ㄒㄩ4" - ], - "㘨": [ - "ㄋㄧㄝ4" - ], - "㘩": [ - "ㄅㄧ4" - ], - "㘪": [ - "ㄏㄠ4" - ], - "㘫": [ - "ㄐㄧㄥ3" - ], - "㘬": [ - "ㄠ4", - "ㄨ4" - ], - "㘭": [ - "ㄠ4" - ], - "㘰": [ - "ㄓㄣ1" - ], - "㘱": [ - "ㄊㄢ1" - ], - "㘲": [ - "ㄐㄩ2" - ], - "㘴": [ - "ㄗㄨㄛ4" - ], - "㘵": [ - "ㄅㄨ4" - ], - "㘶": [ - "ㄐㄧㄝ2" - ], - "㘷": [ - "ㄞ4" - ], - "㘸": [ - "ㄗㄤ4", - "ㄗㄨㄛ4" - ], - "㘹": [ - "ㄘ2" - ], - "㘺": [ - "ㄈㄚ2" - ], - "㘿": [ - "ㄋㄧㄝ4" - ], - "㙀": [ - "ㄌㄧㄡ4", - "ㄐㄧㄡ4" - ], - "㙁": [ - "ㄇㄟ2", - "ㄇㄨ4" - ], - "㙂": [ - "ㄉㄨㄟ4", - "ㄨㄥ4" - ], - "㙃": [ - "ㄅㄤ1" - ], - "㙄": [ - "ㄅㄧ4" - ], - "㙅": [ - "ㄅㄠ3" - ], - "㙇": [ - "ㄔㄨ4" - ], - "㙈": [ - "ㄒㄧㄚ4" - ], - "㙉": [ - "ㄊㄧㄢ3" - ], - "㙊": [ - "ㄔㄤ2", - "ㄓㄤ4" - ], - "㙍": [ - "ㄉㄨㄛ1" - ], - "㙎": [ - "ㄨㄟ1" - ], - "㙏": [ - "ㄈㄨ4" - ], - "㙐": [ - "ㄉㄨㄛ3" - ], - "㙑": [ - "ㄩ3" - ], - "㙒": [ - "ㄧㄝ3" - ], - "㙓": [ - "ㄎㄨㄟ2" - ], - "㙔": [ - "ㄨㄟ3", - "ㄏㄢ2" - ], - "㙕": [ - "ㄎㄨㄞ4" - ], - "㙗": [ - "ㄨㄟ1" - ], - "㙘": [ - "ㄧㄠ1" - ], - "㙙": [ - "ㄌㄨㄥ3" - ], - "㙚": [ - "ㄒㄧㄥ1" - ], - "㙛": [ - "ㄅㄨ3" - ], - "㙜": [ - "ㄔ2" - ], - "㙝": [ - "ㄒㄧㄝ2" - ], - "㙞": [ - "ㄋㄧㄝ4" - ], - "㙟": [ - "ㄌㄤ3" - ], - "㙠": [ - "ㄧ1", - "ㄧ4" - ], - "㙡": [ - "ㄗㄨㄥ1" - ], - "㙢": [ - "ㄇㄢ2" - ], - "㙣": [ - "ㄓㄤ4" - ], - "㙤": [ - "ㄒㄧㄚ4" - ], - "㙥": [ - "ㄍㄨㄣ4" - ], - "㙦": [ - "ㄒㄧㄝ2" - ], - "㙨": [ - "ㄐㄧ4" - ], - "㙩": [ - "ㄌㄧㄠ2" - ], - "㙪": [ - "ㄧ4" - ], - "㙫": [ - "ㄐㄧ2" - ], - "㙬": [ - "ㄧㄣ2" - ], - "㙮": [ - "ㄉㄚ1", - "ㄉㄚ5" - ], - "㙯": [ - "ㄧ4" - ], - "㙰": [ - "ㄒㄧㄝ4" - ], - "㙱": [ - "ㄏㄠ4" - ], - "㙲": [ - "ㄩㄥ3" - ], - "㙳": [ - "ㄎㄢ3", - "ㄏㄢ3" - ], - "㙴": [ - "ㄔㄢ4" - ], - "㙵": [ - "ㄊㄞ2" - ], - "㙶": [ - "ㄊㄤ2" - ], - "㙷": [ - "ㄓ2", - "ㄓㄜ2" - ], - "㙸": [ - "ㄅㄠ4" - ], - "㙹": [ - "ㄇㄥ2" - ], - "㙺": [ - "ㄎㄨㄟ2", - "ㄍㄨㄟ4" - ], - "㙻": [ - "ㄔㄢ2" - ], - "㙼": [ - "ㄌㄟ3" - ], - "㙾": [ - "ㄒㄧ4" - ], - "㚀": [ - "ㄒㄧ1" - ], - "㚁": [ - "ㄑㄧㄠ4" - ], - "㚂": [ - "ㄋㄤ4" - ], - "㚃": [ - "ㄩㄣ1" - ], - "㚅": [ - "ㄌㄨㄥ2" - ], - "㚆": [ - "ㄈㄨ4" - ], - "㚇": [ - "ㄗㄨㄥ1" - ], - "㚉": [ - "ㄍㄨ3" - ], - "㚊": [ - "ㄎㄞ1" - ], - "㚋": [ - "ㄉㄧㄠ1" - ], - "㚌": [ - "ㄏㄨㄚ4" - ], - "㚍": [ - "ㄎㄨㄟ3", - "ㄎㄨㄟ4" - ], - "㚏": [ - "ㄍㄠ3" - ], - "㚐": [ - "ㄊㄠ4" - ], - "㚒": [ - "ㄕㄢ3" - ], - "㚓": [ - "ㄌㄞ3" - ], - "㚔": [ - "ㄋㄧㄝ4", - "ㄒㄧㄥ4" - ], - "㚕": [ - "ㄈㄨ2" - ], - "㚖": [ - "ㄍㄠ3", - "ㄗㄜ2" - ], - "㚗": [ - "ㄑㄧㄝ2" - ], - "㚘": [ - "ㄅㄢ4", - "ㄏㄜ4", - "ㄈㄨ2" - ], - "㚙": [ - "ㄐㄧㄚ1" - ], - "㚚": [ - "ㄎㄨㄥ1", - "ㄎㄨㄤ1" - ], - "㚛": [ - "ㄒㄧ4" - ], - "㚜": [ - "ㄩ4", - "ㄒㄩ4" - ], - "㚝": [ - "ㄓㄨㄟ1" - ], - "㚞": [ - "ㄕㄣ3" - ], - "㚟": [ - "ㄔㄨㄛ4" - ], - "㚠": [ - "ㄒㄧㄠ1" - ], - "㚡": [ - "ㄐㄧ3" - ], - "㚢": [ - "ㄋㄨ2", - "ㄨ3" - ], - "㚣": [ - "ㄒㄧㄠ2" - ], - "㚤": [ - "ㄧ4" - ], - "㚥": [ - "ㄩ2" - ], - "㚦": [ - "ㄧ2" - ], - "㚧": [ - "ㄧㄢ3" - ], - "㚨": [ - "ㄕㄣ3" - ], - "㚩": [ - "ㄖㄢ3" - ], - "㚪": [ - "ㄏㄠ4" - ], - "㚫": [ - "ㄙㄚ4" - ], - "㚬": [ - "ㄐㄩㄣ1" - ], - "㚭": [ - "ㄧㄡ2" - ], - "㚯": [ - "ㄒㄧㄣ2" - ], - "㚰": [ - "ㄆㄟ1", - "ㄅㄧ3" - ], - "㚱": [ - "ㄑㄧㄡ1" - ], - "㚲": [ - "ㄔㄢ1", - "ㄉㄧㄢ3", - "ㄉㄧㄢ4" - ], - "㚴": [ - "ㄅㄨ4" - ], - "㚵": [ - "ㄉㄨㄥ1" - ], - "㚶": [ - "ㄙ4", - "ㄧ2" - ], - "㚷": [ - "ㄦ3" - ], - "㚹": [ - "ㄇㄠ3", - "ㄌㄧㄡ3" - ], - "㚺": [ - "ㄩㄣ4" - ], - "㚻": [ - "ㄐㄧ1" - ], - "㚽": [ - "ㄑㄧㄠ3" - ], - "㚾": [ - "ㄒㄩㄥ1" - ], - "㚿": [ - "ㄆㄠ2" - ], - "㛀": [ - "ㄔㄨ2" - ], - "㛁": [ - "ㄆㄥ1" - ], - "㛂": [ - "ㄋㄨㄛ3" - ], - "㛃": [ - "ㄐㄧㄝ2" - ], - "㛄": [ - "ㄧ1" - ], - "㛅": [ - "ㄦ4" - ], - "㛆": [ - "ㄉㄨㄛ4", - "ㄉㄨㄛ3" - ], - "㛊": [ - "ㄉㄨㄛ3" - ], - "㛍": [ - "ㄑㄧㄝ4", - "ㄒㄧㄢ3", - "ㄒㄧㄚ2" - ], - "㛎": [ - "ㄌㄩ3" - ], - "㛏": [ - "ㄑㄧㄡ2" - ], - "㛐": [ - "ㄙㄡ3" - ], - "㛑": [ - "ㄘㄢ4" - ], - "㛒": [ - "ㄉㄡ4" - ], - "㛓": [ - "ㄒㄧ1" - ], - "㛔": [ - "ㄈㄥ1", - "ㄆㄥ2" - ], - "㛕": [ - "ㄧ4", - "ㄜ4" - ], - "㛖": [ - "ㄙㄨㄛ1" - ], - "㛗": [ - "ㄑㄧㄝ1", - "ㄗㄨㄛ1", - "ㄙㄨㄛ1" - ], - "㛘": [ - "ㄆㄛ4" - ], - "㛙": [ - "ㄒㄧㄣ1", - "ㄑㄧㄝ4" - ], - "㛚": [ - "ㄊㄨㄥ3", - "ㄩㄥ3" - ], - "㛛": [ - "ㄒㄧㄣ4" - ], - "㛜": [ - "ㄧㄡ2" - ], - "㛝": [ - "ㄅㄟ4" - ], - "㛞": [ - "ㄌㄨㄥ4" - ], - "㛣": [ - "ㄩㄣ2" - ], - "㛤": [ - "ㄌㄧ2" - ], - "㛥": [ - "ㄊㄚ4" - ], - "㛦": [ - "ㄌㄢ3" - ], - "㛧": [ - "ㄇㄢ3" - ], - "㛨": [ - "ㄑㄧㄤ3" - ], - "㛩": [ - "ㄓㄡ2" - ], - "㛪": [ - "ㄧㄢ4", - "ㄧㄢ1" - ], - "㛫": [ - "ㄒㄧ1" - ], - "㛬": [ - "ㄌㄨ4" - ], - "㛭": [ - "ㄒㄧ1" - ], - "㛮": [ - "ㄙㄠ3" - ], - "㛯": [ - "ㄈㄢ4", - "ㄇㄧㄢ3", - "ㄓㄨㄢ4" - ], - "㛱": [ - "ㄨㄟ3", - "ㄨㄟ1" - ], - "㛲": [ - "ㄈㄚ4" - ], - "㛳": [ - "ㄧ4" - ], - "㛴": [ - "ㄋㄠ3" - ], - "㛵": [ - "ㄔㄥ1" - ], - "㛶": [ - "ㄊㄢ4" - ], - "㛷": [ - "ㄐㄧ1" - ], - "㛸": [ - "ㄕㄨ4" - ], - "㛹": [ - "ㄆㄧㄢ2" - ], - "㛺": [ - "ㄢ1" - ], - "㛻": [ - "ㄎㄨㄚ1" - ], - "㛼": [ - "ㄔㄚ1", - "ㄕㄚ4" - ], - "㛾": [ - "ㄒㄧㄢ2" - ], - "㛿": [ - "ㄓ4" - ], - "㜂": [ - "ㄈㄥ1" - ], - "㜃": [ - "ㄌㄧㄢ4" - ], - "㜄": [ - "ㄒㄩㄣ2" - ], - "㜅": [ - "ㄒㄩ4" - ], - "㜆": [ - "ㄇㄧ4" - ], - "㜇": [ - "ㄏㄨㄟ4", - "ㄧㄝ4" - ], - "㜈": [ - "ㄇㄨ4" - ], - "㜉": [ - "ㄩㄥ1" - ], - "㜊": [ - "ㄓㄢ3" - ], - "㜋": [ - "ㄧ4" - ], - "㜌": [ - "ㄋㄡ3", - "ㄍㄡ4", - "ㄎㄡ4" - ], - "㜍": [ - "ㄊㄤ2" - ], - "㜎": [ - "ㄒㄧ1", - "ㄒㄧ4" - ], - "㜏": [ - "ㄩㄣ2" - ], - "㜐": [ - "ㄕㄨ4" - ], - "㜑": [ - "ㄈㄨ2" - ], - "㜒": [ - "ㄧ4" - ], - "㜓": [ - "ㄉㄚ2" - ], - "㜕": [ - "ㄌㄧㄢ2" - ], - "㜖": [ - "ㄘㄠ2" - ], - "㜗": [ - "ㄘㄢ1", - "ㄙㄣ1" - ], - "㜘": [ - "ㄐㄩ4", - "ㄑㄩ4", - "ㄔㄚ2" - ], - "㜙": [ - "ㄌㄨ4" - ], - "㜚": [ - "ㄙㄨ4" - ], - "㜛": [ - "ㄋㄣ4" - ], - "㜜": [ - "ㄠ4" - ], - "㜝": [ - "ㄢ3", - "ㄧㄢ3" - ], - "㜞": [ - "ㄑㄧㄢ4", - "ㄘㄢ2" - ], - "㜠": [ - "ㄘㄨㄟ1" - ], - "㜡": [ - "ㄘㄨㄥ1" - ], - "㜣": [ - "ㄖㄢ2", - "ㄖㄢ3" - ], - "㜤": [ - "ㄋㄧㄢ3", - "ㄊㄧㄢ3", - "ㄊㄢ2" - ], - "㜥": [ - "ㄇㄞ2" - ], - "㜦": [ - "ㄒㄧㄣ2" - ], - "㜧": [ - "ㄩㄝ4" - ], - "㜨": [ - "ㄋㄞ2" - ], - "㜩": [ - "ㄠ4" - ], - "㜪": [ - "ㄕㄣ1" - ], - "㜫": [ - "ㄇㄚ4" - ], - "㜮": [ - "ㄌㄢ4", - "ㄌㄢ2" - ], - "㜯": [ - "ㄒㄧ1" - ], - "㜰": [ - "ㄩㄝ4" - ], - "㜱": [ - "ㄓ4" - ], - "㜲": [ - "ㄨㄥ3" - ], - "㜳": [ - "ㄏㄨㄞ2" - ], - "㜴": [ - "ㄇㄥ4" - ], - "㜵": [ - "ㄋㄧㄠ3" - ], - "㜶": [ - "ㄨㄢ3" - ], - "㜷": [ - "ㄇㄧ2", - "ㄒㄧㄢ3" - ], - "㜸": [ - "ㄋㄧㄝ4" - ], - "㜹": [ - "ㄑㄩ2" - ], - "㜺": [ - "ㄗㄢ4" - ], - "㜻": [ - "ㄌㄧㄢ4" - ], - "㜼": [ - "ㄓ2" - ], - "㜽": [ - "ㄗ3" - ], - "㜾": [ - "ㄏㄞ2" - ], - "㜿": [ - "ㄒㄩ4" - ], - "㝀": [ - "ㄏㄠ4" - ], - "㝁": [ - "ㄒㄩㄢ1", - "ㄑㄩㄥ2" - ], - "㝂": [ - "ㄓ4", - "ㄓㄜ4" - ], - "㝃": [ - "ㄇㄧㄢ3" - ], - "㝄": [ - "ㄔㄨㄣ2" - ], - "㝅": [ - "ㄍㄡ4" - ], - "㝇": [ - "ㄔㄨㄣ2" - ], - "㝈": [ - "ㄌㄨㄢ2" - ], - "㝉": [ - "ㄓㄨ4" - ], - "㝊": [ - "ㄕㄡ3" - ], - "㝋": [ - "ㄌㄧㄠ3" - ], - "㝌": [ - "ㄐㄧㄡ4" - ], - "㝍": [ - "ㄒㄧㄝ3" - ], - "㝎": [ - "ㄉㄧㄥ4" - ], - "㝏": [ - "ㄐㄧㄝ4" - ], - "㝐": [ - "ㄖㄨㄥ2" - ], - "㝑": [ - "ㄇㄤ2" - ], - "㝓": [ - "ㄎㄜ4" - ], - "㝔": [ - "ㄧㄠ3" - ], - "㝕": [ - "ㄋㄧㄥ2" - ], - "㝖": [ - "ㄧ2" - ], - "㝗": [ - "ㄌㄤ2", - "ㄌㄤ3" - ], - "㝘": [ - "ㄩㄥ2" - ], - "㝙": [ - "ㄧㄣ2" - ], - "㝚": [ - "ㄧㄢ2" - ], - "㝛": [ - "ㄙㄨ4" - ], - "㝝": [ - "ㄌㄧㄣ2" - ], - "㝞": [ - "ㄧㄚ1", - "ㄧㄚ4" - ], - "㝟": [ - "ㄇㄠ2" - ], - "㝠": [ - "ㄇㄧㄥ2" - ], - "㝡": [ - "ㄗㄨㄟ4" - ], - "㝢": [ - "ㄩ3" - ], - "㝣": [ - "ㄧ4" - ], - "㝤": [ - "ㄍㄡ4" - ], - "㝥": [ - "ㄇㄧ3" - ], - "㝦": [ - "ㄐㄩㄣ4" - ], - "㝧": [ - "ㄨㄣ3" - ], - "㝩": [ - "ㄎㄤ1" - ], - "㝪": [ - "ㄉㄧㄢ4" - ], - "㝫": [ - "ㄌㄨㄥ2" - ], - "㝭": [ - "ㄒㄧㄥ3" - ], - "㝮": [ - "ㄘㄨㄟ4" - ], - "㝯": [ - "ㄑㄧㄠ2" - ], - "㝰": [ - "ㄇㄧㄢ2" - ], - "㝱": [ - "ㄇㄥ4" - ], - "㝲": [ - "ㄑㄧㄣ3" - ], - "㝴": [ - "ㄨㄢ2" - ], - "㝵": [ - "ㄉㄜ2", - "ㄞ4" - ], - "㝶": [ - "ㄞ4" - ], - "㝸": [ - "ㄅㄧㄢ4" - ], - "㝹": [ - "ㄋㄡ2" - ], - "㝺": [ - "ㄌㄧㄢ2" - ], - "㝻": [ - "ㄐㄧㄣ3" - ], - "㝼": [ - "ㄩ1" - ], - "㝽": [ - "ㄔㄨㄟ2" - ], - "㝾": [ - "ㄗㄨㄛ3" - ], - "㝿": [ - "ㄅㄛ3" - ], - "㞀": [ - "ㄏㄨㄟ1" - ], - "㞁": [ - "ㄧㄠ4" - ], - "㞂": [ - "ㄊㄨㄟ3", - "ㄊㄨㄟ4" - ], - "㞃": [ - "ㄐㄧ4" - ], - "㞄": [ - "ㄢ1" - ], - "㞅": [ - "ㄌㄨㄛ4" - ], - "㞆": [ - "ㄐㄧ3" - ], - "㞇": [ - "ㄨㄟ3" - ], - "㞈": [ - "ㄅㄛ1" - ], - "㞉": [ - "ㄗㄚ1" - ], - "㞊": [ - "ㄒㄩ4" - ], - "㞋": [ - "ㄋㄧㄢ3", - "ㄐㄧ2" - ], - "㞌": [ - "ㄩㄣ4" - ], - "㞎": [ - "ㄅㄚ3", - "ㄆㄚ1" - ], - "㞏": [ - "ㄓㄜ2", - "ㄐㄧㄝ2" - ], - "㞐": [ - "ㄐㄩ1" - ], - "㞑": [ - "ㄨㄟ3" - ], - "㞒": [ - "ㄒㄧㄝ4", - "ㄒㄧ4" - ], - "㞓": [ - "ㄑㄧ4", - "ㄐㄧ1" - ], - "㞔": [ - "ㄧ2" - ], - "㞕": [ - "ㄒㄧㄝ4" - ], - "㞖": [ - "ㄘ2", - "ㄘ4" - ], - "㞗": [ - "ㄑㄧㄡ2" - ], - "㞘": [ - "ㄉㄨ1" - ], - "㞙": [ - "ㄋㄧㄠ4" - ], - "㞚": [ - "ㄑㄧ4", - "ㄓㄚ3" - ], - "㞛": [ - "ㄐㄧ3" - ], - "㞜": [ - "ㄊㄨㄟ1" - ], - "㞞": [ - "ㄙㄨㄥ2" - ], - "㞟": [ - "ㄉㄧㄢ4", - "ㄉㄧㄥ3" - ], - "㞠": [ - "ㄌㄠ2" - ], - "㞡": [ - "ㄓㄢ3" - ], - "㞤": [ - "ㄧㄣ2", - "ㄘㄣ2" - ], - "㞥": [ - "ㄘㄣ2" - ], - "㞦": [ - "ㄐㄧ3" - ], - "㞧": [ - "ㄏㄨㄟ4" - ], - "㞨": [ - "ㄗ3" - ], - "㞩": [ - "ㄌㄢ2" - ], - "㞪": [ - "ㄋㄠ2" - ], - "㞫": [ - "ㄐㄩ4" - ], - "㞬": [ - "ㄑㄧㄣ4" - ], - "㞭": [ - "ㄉㄞ4" - ], - "㞯": [ - "ㄐㄧㄝ2" - ], - "㞰": [ - "ㄒㄩ3" - ], - "㞱": [ - "ㄘㄨㄥ1" - ], - "㞲": [ - "ㄩㄥ4" - ], - "㞳": [ - "ㄉㄡ3" - ], - "㞴": [ - "ㄔ2", - "ㄇㄧㄣ2" - ], - "㞶": [ - "ㄇㄧㄣ3" - ], - "㞷": [ - "ㄏㄨㄤ2" - ], - "㞸": [ - "ㄙㄨㄟ4" - ], - "㞹": [ - "ㄎㄜ3" - ], - "㞺": [ - "ㄗㄨ2" - ], - "㞻": [ - "ㄏㄠ4" - ], - "㞼": [ - "ㄔㄥ2" - ], - "㞽": [ - "ㄒㄩㄝ4" - ], - "㞾": [ - "ㄋㄧ2" - ], - "㞿": [ - "ㄔ4" - ], - "㟀": [ - "ㄌㄧㄢ2" - ], - "㟁": [ - "ㄢ4" - ], - "㟂": [ - "ㄇㄨ3" - ], - "㟃": [ - "ㄙ1" - ], - "㟄": [ - "ㄒㄧㄤ2" - ], - "㟅": [ - "ㄧㄤ2" - ], - "㟆": [ - "ㄏㄨㄚ2" - ], - "㟇": [ - "ㄘㄨㄛ4", - "ㄘㄨㄛ2" - ], - "㟈": [ - "ㄑㄧㄡ2" - ], - "㟉": [ - "ㄌㄠ2" - ], - "㟊": [ - "ㄈㄨ2" - ], - "㟋": [ - "ㄉㄨㄟ4" - ], - "㟌": [ - "ㄇㄤ2" - ], - "㟍": [ - "ㄌㄤ2", - "ㄌㄤ3" - ], - "㟎": [ - "ㄊㄨㄛ3", - "ㄊㄨㄟ3" - ], - "㟏": [ - "ㄏㄢ2" - ], - "㟐": [ - "ㄇㄤ3" - ], - "㟑": [ - "ㄅㄛ2" - ], - "㟒": [ - "ㄑㄩㄣ1" - ], - "㟓": [ - "ㄑㄧ2" - ], - "㟔": [ - "ㄏㄢ2" - ], - "㟖": [ - "ㄌㄨㄥ4", - "ㄌㄨㄥ2" - ], - "㟗": [ - "ㄅㄧㄣ1" - ], - "㟘": [ - "ㄊㄧㄠ2" - ], - "㟙": [ - "ㄗㄜ2" - ], - "㟚": [ - "ㄑㄧ2" - ], - "㟛": [ - "ㄗㄢ4" - ], - "㟜": [ - "ㄇㄧ2" - ], - "㟝": [ - "ㄆㄟ2" - ], - "㟞": [ - "ㄓㄢ4" - ], - "㟟": [ - "ㄒㄧㄤ4" - ], - "㟠": [ - "ㄍㄤ3" - ], - "㟢": [ - "ㄑㄧ2" - ], - "㟤": [ - "ㄌㄨ4" - ], - "㟦": [ - "ㄩㄣ4" - ], - "㟧": [ - "ㄜ4" - ], - "㟨": [ - "ㄉㄨㄢ1" - ], - "㟩": [ - "ㄇㄧㄣ2" - ], - "㟪": [ - "ㄨㄟ1", - "ㄨㄟ3" - ], - "㟫": [ - "ㄑㄩㄢ2" - ], - "㟬": [ - "ㄙㄡ3" - ], - "㟭": [ - "ㄇㄧㄣ2" - ], - "㟮": [ - "ㄊㄨ1" - ], - "㟰": [ - "ㄇㄧㄥ3" - ], - "㟱": [ - "ㄧㄠ3" - ], - "㟲": [ - "ㄐㄩㄝ2" - ], - "㟳": [ - "ㄌㄧ4" - ], - "㟴": [ - "ㄎㄨㄞ4" - ], - "㟵": [ - "ㄍㄤ3" - ], - "㟶": [ - "ㄩㄢ2" - ], - "㟷": [ - "ㄉㄚ5" - ], - "㟹": [ - "ㄌㄠ2" - ], - "㟺": [ - "ㄌㄡ2" - ], - "㟻": [ - "ㄑㄧㄢ4", - "ㄓㄢ3" - ], - "㟼": [ - "ㄠ2" - ], - "㟽": [ - "ㄅㄧㄠ3", - "ㄅㄧㄠ1" - ], - "㟾": [ - "ㄩㄥ1" - ], - "㟿": [ - "ㄇㄤ3", - "ㄇㄤ2" - ], - "㠀": [ - "ㄉㄠ3" - ], - "㠂": [ - "ㄠ2" - ], - "㠄": [ - "ㄒㄧ2" - ], - "㠅": [ - "ㄈㄨ2", - "ㄈㄨ4" - ], - "㠆": [ - "ㄉㄢ1" - ], - "㠇": [ - "ㄐㄧㄡ4" - ], - "㠈": [ - "ㄖㄨㄣ4" - ], - "㠉": [ - "ㄊㄨㄥ2" - ], - "㠊": [ - "ㄑㄩ1" - ], - "㠋": [ - "ㄜ4" - ], - "㠌": [ - "ㄑㄧ1" - ], - "㠍": [ - "ㄐㄧ2" - ], - "㠎": [ - "ㄐㄧ2", - "ㄐㄧㄝ2" - ], - "㠏": [ - "ㄏㄨㄚ2" - ], - "㠐": [ - "ㄐㄧㄠ4" - ], - "㠑": [ - "ㄗㄨㄟ4" - ], - "㠒": [ - "ㄅㄧㄠ3" - ], - "㠓": [ - "ㄇㄥ2" - ], - "㠔": [ - "ㄅㄞ4" - ], - "㠕": [ - "ㄨㄟ3" - ], - "㠖": [ - "ㄧ3" - ], - "㠗": [ - "ㄠ4" - ], - "㠘": [ - "ㄩ3" - ], - "㠙": [ - "ㄏㄠ2" - ], - "㠚": [ - "ㄉㄨㄟ4" - ], - "㠛": [ - "ㄨㄛ4" - ], - "㠜": [ - "ㄋㄧ4" - ], - "㠝": [ - "ㄘㄨㄢ2" - ], - "㠟": [ - "ㄌㄧ2" - ], - "㠠": [ - "ㄌㄨ2" - ], - "㠡": [ - "ㄋㄧㄠ3" - ], - "㠢": [ - "ㄏㄨㄞ2" - ], - "㠣": [ - "ㄌㄧ4" - ], - "㠥": [ - "ㄌㄩ4", - "ㄌㄟ2", - "ㄌㄟ3" - ], - "㠦": [ - "ㄈㄥ1" - ], - "㠧": [ - "ㄇㄧ3" - ], - "㠨": [ - "ㄩ4" - ], - "㠪": [ - "ㄐㄩ4" - ], - "㠭": [ - "ㄓㄢ3" - ], - "㠮": [ - "ㄆㄥ1", - "ㄍㄤ1" - ], - "㠯": [ - "ㄧ3" - ], - "㠱": [ - "ㄐㄧ4", - "ㄑㄧ3" - ], - "㠲": [ - "ㄅㄧ3" - ], - "㠴": [ - "ㄖㄣ4" - ], - "㠵": [ - "ㄏㄨㄤ1" - ], - "㠶": [ - "ㄈㄢ2" - ], - "㠷": [ - "ㄍㄜ2" - ], - "㠸": [ - "ㄎㄨ4" - ], - "㠹": [ - "ㄐㄧㄝ4" - ], - "㠺": [ - "ㄕㄚ1", - "ㄇㄧㄠ2" - ], - "㠼": [ - "ㄙ1" - ], - "㠽": [ - "ㄊㄨㄥ2" - ], - "㠾": [ - "ㄩㄢ1" - ], - "㠿": [ - "ㄗ1", - "ㄘ3" - ], - "㡀": [ - "ㄅㄧ4" - ], - "㡁": [ - "ㄎㄨㄚ3" - ], - "㡂": [ - "ㄌㄧ4" - ], - "㡃": [ - "ㄏㄨㄤ1" - ], - "㡄": [ - "ㄒㄩㄣ2" - ], - "㡅": [ - "ㄋㄨㄛ3" - ], - "㡇": [ - "ㄓㄜ2", - "ㄐㄧㄝ1" - ], - "㡈": [ - "ㄨㄣ4", - "ㄇㄣ2", - "ㄇㄧㄢ3" - ], - "㡉": [ - "ㄒㄧㄢ2" - ], - "㡊": [ - "ㄑㄧㄚ4" - ], - "㡋": [ - "ㄧㄝ2", - "ㄢ1" - ], - "㡌": [ - "ㄇㄠ4" - ], - "㡏": [ - "ㄕㄨ4", - "ㄒㄩ1", - "ㄊㄡ2", - "ㄕㄨ1" - ], - "㡑": [ - "ㄑㄧㄠ1", - "ㄐㄧㄠ3" - ], - "㡒": [ - "ㄓㄨㄣ1" - ], - "㡓": [ - "ㄎㄨㄣ1" - ], - "㡔": [ - "ㄨ4" - ], - "㡕": [ - "ㄧㄥ1" - ], - "㡖": [ - "ㄔㄨㄤ2" - ], - "㡗": [ - "ㄊㄧ2" - ], - "㡘": [ - "ㄌㄧㄢ2", - "ㄌㄧㄣ2" - ], - "㡙": [ - "ㄅㄧ1" - ], - "㡚": [ - "ㄍㄡ1" - ], - "㡛": [ - "ㄇㄤ2" - ], - "㡜": [ - "ㄒㄧㄝ4", - "ㄒㄩㄝ3" - ], - "㡝": [ - "ㄈㄥ4" - ], - "㡞": [ - "ㄌㄡ2", - "ㄌㄩ3" - ], - "㡟": [ - "ㄗㄠ1" - ], - "㡠": [ - "ㄓㄥ4" - ], - "㡡": [ - "ㄔㄨ2" - ], - "㡢": [ - "ㄇㄢ4" - ], - "㡣": [ - "ㄌㄨㄥ2" - ], - "㡥": [ - "ㄧㄣ4" - ], - "㡦": [ - "ㄆㄧㄣ1" - ], - "㡧": [ - "ㄓㄥ4" - ], - "㡨": [ - "ㄐㄧㄢ1", - "ㄑㄧㄢ1" - ], - "㡩": [ - "ㄌㄨㄢ2" - ], - "㡪": [ - "ㄋㄧㄝ2" - ], - "㡫": [ - "ㄧ4" - ], - "㡭": [ - "ㄐㄧ4" - ], - "㡮": [ - "ㄐㄧ2" - ], - "㡯": [ - "ㄓㄞ2", - "ㄉㄨ4", - "ㄉㄨㄛ2" - ], - "㡰": [ - "ㄩ3" - ], - "㡱": [ - "ㄐㄧㄡ3" - ], - "㡲": [ - "ㄏㄨㄢ2" - ], - "㡳": [ - "ㄓ3" - ], - "㡴": [ - "ㄌㄚ1" - ], - "㡵": [ - "ㄌㄧㄥ2" - ], - "㡶": [ - "ㄓ3" - ], - "㡷": [ - "ㄅㄣ3" - ], - "㡸": [ - "ㄓㄚ4", - "ㄓㄚ3", - "ㄔㄚ2" - ], - "㡹": [ - "ㄐㄩ1" - ], - "㡺": [ - "ㄉㄢ4" - ], - "㡻": [ - "ㄌㄧㄠ4" - ], - "㡼": [ - "ㄧ4" - ], - "㡽": [ - "ㄓㄠ4" - ], - "㡾": [ - "ㄒㄧㄢ4" - ], - "㡿": [ - "ㄔ4" - ], - "㢀": [ - "ㄘ4" - ], - "㢁": [ - "ㄔ3", - "ㄕ3" - ], - "㢂": [ - "ㄧㄢ3", - "ㄊㄨㄟ2", - "ㄉㄨㄟ1" - ], - "㢃": [ - "ㄌㄤ2" - ], - "㢄": [ - "ㄉㄡ4" - ], - "㢅": [ - "ㄌㄨㄥ4" - ], - "㢆": [ - "ㄔㄢ2" - ], - "㢈": [ - "ㄊㄨㄟ2", - "ㄉㄨㄟ1" - ], - "㢉": [ - "ㄔㄚ2" - ], - "㢊": [ - "ㄞ3", - "ㄧ3" - ], - "㢋": [ - "ㄔ3" - ], - "㢍": [ - "ㄧㄥ3" - ], - "㢎": [ - "ㄓㄜ2" - ], - "㢏": [ - "ㄊㄡ2", - "ㄩ3", - "ㄩ2" - ], - "㢑": [ - "ㄊㄨㄟ2" - ], - "㢒": [ - "ㄔㄚ2" - ], - "㢓": [ - "ㄧㄠ3" - ], - "㢔": [ - "ㄗㄨㄥ3" - ], - "㢖": [ - "ㄆㄢ1", - "ㄅㄢ1" - ], - "㢗": [ - "ㄑㄧㄠ4" - ], - "㢘": [ - "ㄌㄧㄢ2" - ], - "㢙": [ - "ㄑㄧㄣ2" - ], - "㢚": [ - "ㄌㄨ3" - ], - "㢛": [ - "ㄧㄢ4", - "ㄑㄧㄢ1" - ], - "㢜": [ - "ㄎㄤ1", - "ㄎㄤ4" - ], - "㢝": [ - "ㄙㄨ1" - ], - "㢞": [ - "ㄧ4" - ], - "㢟": [ - "ㄔㄢ1" - ], - "㢠": [ - "ㄐㄩㄥ3" - ], - "㢡": [ - "ㄐㄧㄤ3" - ], - "㢣": [ - "ㄐㄧㄥ4" - ], - "㢥": [ - "ㄉㄨㄥ4" - ], - "㢧": [ - "ㄐㄩㄢ4" - ], - "㢨": [ - "ㄏㄢ4" - ], - "㢩": [ - "ㄉㄧ4" - ], - "㢬": [ - "ㄏㄨㄥ2" - ], - "㢮": [ - "ㄔ2" - ], - "㢯": [ - "ㄉㄧㄠ1", - "ㄇㄧㄣ2" - ], - "㢰": [ - "ㄅㄧ4" - ], - "㢲": [ - "ㄒㄩㄣ4" - ], - "㢳": [ - "ㄌㄨ2" - ], - "㢵": [ - "ㄒㄧㄝ2", - "ㄕㄜ4" - ], - "㢶": [ - "ㄅㄧ4" - ], - "㢸": [ - "ㄅㄧ4" - ], - "㢺": [ - "ㄒㄧㄢ2" - ], - "㢻": [ - "ㄖㄨㄟ4" - ], - "㢼": [ - "ㄅㄧㄝ4" - ], - "㢽": [ - "ㄦ3" - ], - "㢾": [ - "ㄐㄩㄢ4" - ], - "㣀": [ - "ㄓㄣ4" - ], - "㣁": [ - "ㄅㄟ4" - ], - "㣂": [ - "ㄜ4" - ], - "㣃": [ - "ㄩ3" - ], - "㣄": [ - "ㄑㄩ2" - ], - "㣅": [ - "ㄗㄢ4" - ], - "㣆": [ - "ㄇㄧ2" - ], - "㣇": [ - "ㄧ4" - ], - "㣈": [ - "ㄙ4" - ], - "㣌": [ - "ㄕㄢ4" - ], - "㣍": [ - "ㄊㄞ2" - ], - "㣎": [ - "ㄇㄨ4" - ], - "㣏": [ - "ㄐㄧㄥ4" - ], - "㣐": [ - "ㄅㄧㄢ4" - ], - "㣑": [ - "ㄖㄨㄥ2" - ], - "㣒": [ - "ㄘㄥ4" - ], - "㣓": [ - "ㄘㄢ4" - ], - "㣔": [ - "ㄉㄧㄥ1" - ], - "㣙": [ - "ㄉㄧ2", - "ㄓㄡ4" - ], - "㣚": [ - "ㄊㄨㄥ3", - "ㄊㄨㄥ2", - "ㄉㄨㄥ4" - ], - "㣛": [ - "ㄊㄚ4", - "ㄏㄨㄟ4" - ], - "㣜": [ - "ㄒㄧㄥ2" - ], - "㣝": [ - "ㄙㄨㄥ1" - ], - "㣞": [ - "ㄉㄨㄛ2" - ], - "㣟": [ - "ㄒㄧ4" - ], - "㣠": [ - "ㄊㄠ1", - "ㄊㄨㄥ2" - ], - "㣢": [ - "ㄊㄧ2" - ], - "㣣": [ - "ㄕㄢ4" - ], - "㣤": [ - "ㄐㄧㄢ4" - ], - "㣥": [ - "ㄓ4" - ], - "㣦": [ - "ㄨㄟ1" - ], - "㣧": [ - "ㄧㄣ4" - ], - "㣪": [ - "ㄏㄨㄢ3" - ], - "㣫": [ - "ㄓㄨㄥ3", - "ㄉㄨㄥ4" - ], - "㣬": [ - "ㄑㄧ4" - ], - "㣭": [ - "ㄗㄨㄥ1" - ], - "㣯": [ - "ㄒㄧㄝ4" - ], - "㣰": [ - "ㄒㄧㄝ4" - ], - "㣱": [ - "ㄗㄜ2" - ], - "㣲": [ - "ㄨㄟ2" - ], - "㣵": [ - "ㄊㄚ4" - ], - "㣶": [ - "ㄓㄢ1" - ], - "㣷": [ - "ㄋㄧㄥ4" - ], - "㣺": [ - "ㄒㄧㄣ1" - ], - "㣻": [ - "ㄧ4" - ], - "㣼": [ - "ㄖㄣ3" - ], - "㣽": [ - "ㄕㄨ4", - "ㄋㄨ4" - ], - "㣾": [ - "ㄔㄚ4" - ], - "㣿": [ - "ㄓㄨㄛ2", - "ㄉㄧㄠ3" - ], - "㤁": [ - "ㄇㄧㄢ3" - ], - "㤂": [ - "ㄐㄧ2" - ], - "㤃": [ - "ㄈㄤ2" - ], - "㤄": [ - "ㄆㄟ4" - ], - "㤅": [ - "ㄞ4", - "ㄒㄧ4", - "ㄐㄧ4" - ], - "㤆": [ - "ㄈㄢ4" - ], - "㤇": [ - "ㄠ3" - ], - "㤈": [ - "ㄑㄧㄣ4" - ], - "㤉": [ - "ㄑㄧㄚ1", - "ㄧㄚ4" - ], - "㤊": [ - "ㄒㄧㄠ4" - ], - "㤋": [ - "ㄈㄣ1" - ], - "㤌": [ - "ㄍㄢ1" - ], - "㤍": [ - "ㄑㄧㄠ1", - "ㄑㄧㄠ3" - ], - "㤎": [ - "ㄍㄜ1" - ], - "㤏": [ - "ㄊㄨㄥ2" - ], - "㤐": [ - "ㄔㄢ1" - ], - "㤑": [ - "ㄧㄡ4" - ], - "㤒": [ - "ㄍㄠ1" - ], - "㤓": [ - "ㄅㄣ4" - ], - "㤔": [ - "ㄈㄨ4" - ], - "㤕": [ - "ㄔㄨ4", - "ㄆㄛ4" - ], - "㤖": [ - "ㄓㄨ4" - ], - "㤘": [ - "ㄓㄡ4" - ], - "㤚": [ - "ㄏㄤ2" - ], - "㤛": [ - "ㄋㄧㄣ2" - ], - "㤜": [ - "ㄐㄩㄝ2" - ], - "㤝": [ - "ㄔㄨㄥ1" - ], - "㤞": [ - "ㄔㄚ4", - "ㄉㄨㄛ2", - "ㄗㄜ2" - ], - "㤟": [ - "ㄎㄨㄥ3" - ], - "㤠": [ - "ㄌㄧㄝ4" - ], - "㤡": [ - "ㄌㄧ4", - "ㄌㄧㄝ4" - ], - "㤢": [ - "ㄩ4" - ], - "㤤": [ - "ㄩ2" - ], - "㤥": [ - "ㄏㄞ4" - ], - "㤦": [ - "ㄌㄧ4" - ], - "㤧": [ - "ㄏㄡ2" - ], - "㤨": [ - "ㄍㄨㄥ3" - ], - "㤩": [ - "ㄎㄜ4" - ], - "㤪": [ - "ㄩㄢ4" - ], - "㤫": [ - "ㄉㄜ2" - ], - "㤬": [ - "ㄏㄨㄟ4" - ], - "㤮": [ - "ㄍㄨㄤ4" - ], - "㤯": [ - "ㄐㄩㄥ3" - ], - "㤰": [ - "ㄗㄨㄛ4" - ], - "㤱": [ - "ㄈㄨ4", - "ㄉㄡ4" - ], - "㤲": [ - "ㄑㄧㄝ4" - ], - "㤳": [ - "ㄅㄟ3" - ], - "㤴": [ - "ㄔㄜ4", - "ㄕㄜ4", - "ㄉㄧㄝ2" - ], - "㤵": [ - "ㄘ2" - ], - "㤶": [ - "ㄇㄤ2", - "ㄇㄤ4" - ], - "㤷": [ - "ㄏㄢ1" - ], - "㤸": [ - "ㄒㄧ4" - ], - "㤹": [ - "ㄑㄧㄡ2", - "ㄐㄧㄡ4" - ], - "㤺": [ - "ㄏㄨㄤ3" - ], - "㤽": [ - "ㄔㄡ2" - ], - "㤾": [ - "ㄙㄢ4", - "ㄊㄢ4" - ], - "㤿": [ - "ㄧㄢ1" - ], - "㥀": [ - "ㄓ2", - "ㄉㄜ2" - ], - "㥁": [ - "ㄉㄜ2" - ], - "㥂": [ - "ㄊㄜ4" - ], - "㥃": [ - "ㄇㄣ4" - ], - "㥄": [ - "ㄌㄧㄥ2" - ], - "㥅": [ - "ㄕㄡ4" - ], - "㥆": [ - "ㄊㄨㄟ4" - ], - "㥇": [ - "ㄘㄢ2" - ], - "㥈": [ - "ㄉㄧㄝ2" - ], - "㥉": [ - "ㄔㄜ4" - ], - "㥊": [ - "ㄆㄥ2", - "ㄆㄥ1" - ], - "㥋": [ - "ㄧ1" - ], - "㥌": [ - "ㄐㄩ2" - ], - "㥍": [ - "ㄐㄧ4" - ], - "㥎": [ - "ㄌㄞ2" - ], - "㥏": [ - "ㄊㄧㄢ3" - ], - "㥐": [ - "ㄩㄢ4" - ], - "㥒": [ - "ㄘㄞ3", - "ㄘㄞ1" - ], - "㥓": [ - "ㄑㄧ1" - ], - "㥔": [ - "ㄩ4" - ], - "㥕": [ - "ㄌㄧㄢ2" - ], - "㥖": [ - "ㄘㄨㄥ1" - ], - "㥚": [ - "ㄩ2", - "ㄩ3" - ], - "㥛": [ - "ㄐㄧ2", - "ㄎㄜ4" - ], - "㥜": [ - "ㄨㄟ4" - ], - "㥝": [ - "ㄇㄧ3" - ], - "㥞": [ - "ㄙㄨㄟ4" - ], - "㥟": [ - "ㄒㄧㄝ2" - ], - "㥠": [ - "ㄒㄩ1" - ], - "㥡": [ - "ㄔ4" - ], - "㥢": [ - "ㄑㄧㄡ2", - "ㄐㄧㄡ1" - ], - "㥣": [ - "ㄏㄨㄟ4" - ], - "㥥": [ - "ㄩ2" - ], - "㥦": [ - "ㄑㄧㄝ4" - ], - "㥧": [ - "ㄕㄨㄣ4" - ], - "㥨": [ - "ㄕㄨㄟ4", - "ㄨㄟ3" - ], - "㥩": [ - "ㄉㄨㄛ3" - ], - "㥪": [ - "ㄌㄡ2" - ], - "㥬": [ - "ㄆㄤ2" - ], - "㥭": [ - "ㄊㄞ4" - ], - "㥮": [ - "ㄓㄡ4", - "ㄔㄠ3" - ], - "㥯": [ - "ㄧㄣ3" - ], - "㥰": [ - "ㄙㄠ1" - ], - "㥱": [ - "ㄈㄟ3" - ], - "㥲": [ - "ㄔㄣ1", - "ㄕㄣ4" - ], - "㥳": [ - "ㄩㄢ2" - ], - "㥴": [ - "ㄧ2", - "ㄊㄧ2" - ], - "㥵": [ - "ㄏㄨㄣ4" - ], - "㥶": [ - "ㄙㄜ4", - "ㄑㄧㄢ1" - ], - "㥷": [ - "ㄧㄝ4" - ], - "㥸": [ - "ㄇㄧㄣ3" - ], - "㥹": [ - "ㄈㄣ3" - ], - "㥺": [ - "ㄏㄜ2" - ], - "㥼": [ - "ㄧㄣ4", - "ㄧㄢ1" - ], - "㥽": [ - "ㄘㄜ4", - "ㄗㄜ2" - ], - "㥾": [ - "ㄋㄧ4" - ], - "㥿": [ - "ㄠ4" - ], - "㦀": [ - "ㄈㄥ2" - ], - "㦁": [ - "ㄌㄧㄢ2", - "ㄌㄧㄢ3" - ], - "㦂": [ - "ㄔㄤ2" - ], - "㦃": [ - "ㄔㄢ3" - ], - "㦄": [ - "ㄇㄚ2" - ], - "㦅": [ - "ㄉㄧㄝ1", - "ㄉㄧ4", - "ㄔㄞ4" - ], - "㦆": [ - "ㄏㄨ1", - "ㄒㄧㄚ1" - ], - "㦇": [ - "ㄌㄨ4" - ], - "㦉": [ - "ㄧ4" - ], - "㦊": [ - "ㄏㄨㄚ2" - ], - "㦋": [ - "ㄓㄚ1" - ], - "㦌": [ - "ㄏㄨ1", - "ㄒㄩ4" - ], - "㦍": [ - "ㄜ4" - ], - "㦎": [ - "ㄏㄨㄛ4" - ], - "㦏": [ - "ㄙㄨㄣ3", - "ㄒㄩㄢ4" - ], - "㦐": [ - "ㄋㄧ4" - ], - "㦑": [ - "ㄒㄧㄢ4", - "ㄏㄢ1" - ], - "㦒": [ - "ㄌㄧ2" - ], - "㦓": [ - "ㄒㄧㄢ4", - "ㄖㄢ3" - ], - "㦔": [ - "ㄧㄢ4" - ], - "㦕": [ - "ㄌㄨㄥ2" - ], - "㦖": [ - "ㄇㄣ4" - ], - "㦗": [ - "ㄐㄧㄣ1", - "ㄐㄧㄣ4" - ], - "㦘": [ - "ㄐㄧ1" - ], - "㦚": [ - "ㄅㄧㄢ3" - ], - "㦛": [ - "ㄩ3", - "ㄩ2" - ], - "㦜": [ - "ㄏㄨㄛ4", - "ㄒㄩㄝ4" - ], - "㦝": [ - "ㄇㄧㄠ3" - ], - "㦞": [ - "ㄔㄡ2" - ], - "㦟": [ - "ㄇㄞ2" - ], - "㦡": [ - "ㄌㄜ4" - ], - "㦢": [ - "ㄐㄧㄝ2" - ], - "㦣": [ - "ㄨㄟ4" - ], - "㦤": [ - "ㄧ4" - ], - "㦥": [ - "ㄒㄩㄢ1", - "ㄒㄧㄢ3" - ], - "㦦": [ - "ㄒㄧ4" - ], - "㦧": [ - "ㄘㄢ3" - ], - "㦨": [ - "ㄌㄢ2" - ], - "㦩": [ - "ㄧㄣ3" - ], - "㦪": [ - "ㄒㄧㄝ4" - ], - "㦫": [ - "ㄗㄚ1" - ], - "㦬": [ - "ㄌㄨㄛ3" - ], - "㦭": [ - "ㄌㄧㄥ2" - ], - "㦮": [ - "ㄑㄧㄢ2" - ], - "㦯": [ - "ㄏㄨㄛ4" - ], - "㦰": [ - "ㄐㄧㄢ1" - ], - "㦱": [ - "ㄨㄛ3" - ], - "㦴": [ - "ㄍㄜ2" - ], - "㦵": [ - "ㄓㄨ1" - ], - "㦶": [ - "ㄉㄧㄝ2", - "ㄩㄥ3" - ], - "㦷": [ - "ㄩㄥ3" - ], - "㦸": [ - "ㄐㄧ3" - ], - "㦹": [ - "ㄧㄤ2" - ], - "㦺": [ - "ㄖㄨ4" - ], - "㦻": [ - "ㄒㄧ2" - ], - "㦼": [ - "ㄕㄨㄤ4" - ], - "㦽": [ - "ㄩ4" - ], - "㦾": [ - "ㄧ2" - ], - "㦿": [ - "ㄑㄧㄢ3", - "ㄏㄨ4" - ], - "㧀": [ - "ㄐㄧ2" - ], - "㧁": [ - "ㄑㄩ4", - "ㄏㄜ2" - ], - "㧂": [ - "ㄊㄧㄢ2" - ], - "㧃": [ - "ㄕㄡ1", - "ㄐㄧㄡ1" - ], - "㧄": [ - "ㄑㄧㄢ3" - ], - "㧅": [ - "ㄇㄨ4", - "ㄉㄠ1" - ], - "㧆": [ - "ㄐㄧㄣ1" - ], - "㧇": [ - "ㄇㄠ3" - ], - "㧈": [ - "ㄧㄣ3" - ], - "㧉": [ - "ㄍㄞ4", - "ㄏㄞ4", - "ㄧㄝ4" - ], - "㧊": [ - "ㄆㄛ1", - "ㄅㄚ2" - ], - "㧋": [ - "ㄒㄩㄢ3" - ], - "㧌": [ - "ㄇㄠ4" - ], - "㧍": [ - "ㄈㄤ3", - "ㄅㄥ1" - ], - "㧎": [ - "ㄧㄚ2", - "ㄧㄚ4", - "ㄑㄧㄚ1" - ], - "㧏": [ - "ㄍㄤ1" - ], - "㧐": [ - "ㄙㄨㄥ3" - ], - "㧑": [ - "ㄏㄨㄟ1" - ], - "㧒": [ - "ㄩ4" - ], - "㧓": [ - "ㄍㄨㄚ1" - ], - "㧔": [ - "ㄍㄨㄞ4" - ], - "㧕": [ - "ㄌㄧㄡ3" - ], - "㧖": [ - "ㄜ4" - ], - "㧗": [ - "ㄗ3", - "ㄐㄧ3", - "ㄓ3" - ], - "㧘": [ - "ㄗ4" - ], - "㧙": [ - "ㄅㄧ4", - "ㄅㄧㄝ2" - ], - "㧚": [ - "ㄨㄚ3" - ], - "㧜": [ - "ㄌㄧㄝ4" - ], - "㧟": [ - "ㄎㄨㄞ3" - ], - "㧡": [ - "ㄏㄞ4", - "ㄨㄟ4" - ], - "㧢": [ - "ㄧㄣ1" - ], - "㧣": [ - "ㄓㄨ1" - ], - "㧤": [ - "ㄔㄨㄥ4" - ], - "㧥": [ - "ㄒㄧㄢ3" - ], - "㧦": [ - "ㄒㄩㄢ4", - "ㄏㄨㄥ1" - ], - "㧨": [ - "ㄑㄧㄡ2" - ], - "㧩": [ - "ㄆㄟ4" - ], - "㧪": [ - "ㄍㄨㄟ3", - "ㄨㄟ3" - ], - "㧫": [ - "ㄦ2", - "ㄖㄨㄢ2", - "ㄖㄨㄟ2" - ], - "㧬": [ - "ㄍㄨㄥ3" - ], - "㧭": [ - "ㄑㄩㄥ2" - ], - "㧮": [ - "ㄏㄨ1" - ], - "㧯": [ - "ㄌㄠ3" - ], - "㧰": [ - "ㄌㄧ4" - ], - "㧱": [ - "ㄔㄣ4" - ], - "㧲": [ - "ㄙㄢ3" - ], - "㧳": [ - "ㄓㄨㄛ4", - "ㄅㄞ1" - ], - "㧴": [ - "ㄨㄛ3", - "ㄜ2" - ], - "㧵": [ - "ㄆㄡ2" - ], - "㧶": [ - "ㄎㄥ1" - ], - "㧷": [ - "ㄊㄨㄣ4" - ], - "㧸": [ - "ㄆㄥ1" - ], - "㧹": [ - "ㄊㄜ4" - ], - "㧺": [ - "ㄊㄚ4" - ], - "㧻": [ - "ㄓㄨㄛ2", - "ㄗㄨ2", - "ㄉㄨ1" - ], - "㧼": [ - "ㄅㄧㄠ4" - ], - "㧽": [ - "ㄍㄨ4" - ], - "㧾": [ - "ㄏㄨ1" - ], - "㨀": [ - "ㄅㄧㄥ3" - ], - "㨁": [ - "ㄓ4", - "ㄓ2" - ], - "㨂": [ - "ㄉㄨㄥ3" - ], - "㨃": [ - "ㄉㄨㄟ3", - "ㄔㄥ2" - ], - "㨄": [ - "ㄓㄡ1", - "ㄓㄠ4", - "ㄊㄧㄠ2" - ], - "㨅": [ - "ㄋㄟ4", - "ㄖㄨㄟ4" - ], - "㨆": [ - "ㄌㄧㄣ3" - ], - "㨇": [ - "ㄆㄛ2" - ], - "㨈": [ - "ㄐㄧ3" - ], - "㨉": [ - "ㄇㄧㄣ2", - "ㄨㄣ3" - ], - "㨊": [ - "ㄨㄟ3", - "ㄊㄨㄛ3", - "ㄉㄨㄛ4" - ], - "㨋": [ - "ㄔㄜ3" - ], - "㨌": [ - "ㄍㄡ4" - ], - "㨍": [ - "ㄅㄤ1" - ], - "㨎": [ - "ㄖㄨ2" - ], - "㨏": [ - "ㄊㄢ1" - ], - "㨐": [ - "ㄅㄨ3" - ], - "㨑": [ - "ㄗㄨㄥ1" - ], - "㨒": [ - "ㄎㄨㄟ1" - ], - "㨓": [ - "ㄌㄠ2" - ], - "㨔": [ - "ㄏㄢ4" - ], - "㨕": [ - "ㄧㄥ2" - ], - "㨖": [ - "ㄓ4" - ], - "㨗": [ - "ㄐㄧㄝ2" - ], - "㨘": [ - "ㄒㄧㄥ3" - ], - "㨙": [ - "ㄒㄧㄝ2", - "ㄒㄧ4" - ], - "㨚": [ - "ㄒㄩㄣ2", - "ㄙㄨㄣ3" - ], - "㨛": [ - "ㄕㄢ3", - "ㄕㄢ4" - ], - "㨜": [ - "ㄑㄧㄢ2" - ], - "㨝": [ - "ㄒㄧㄝ1" - ], - "㨞": [ - "ㄙㄨ4" - ], - "㨟": [ - "ㄏㄞ1" - ], - "㨠": [ - "ㄇㄧ4" - ], - "㨡": [ - "ㄏㄨㄣ2" - ], - "㨢": [ - "ㄆㄧ1" - ], - "㨤": [ - "ㄏㄨㄟ4" - ], - "㨥": [ - "ㄋㄚ4" - ], - "㨦": [ - "ㄙㄨㄥ3" - ], - "㨧": [ - "ㄅㄣ4" - ], - "㨨": [ - "ㄔㄡ1", - "ㄌㄧㄡ4" - ], - "㨩": [ - "ㄐㄧㄝ2" - ], - "㨪": [ - "ㄏㄨㄤ4", - "ㄏㄨㄤ3" - ], - "㨫": [ - "ㄌㄢ3" - ], - "㨭": [ - "ㄏㄨ4" - ], - "㨮": [ - "ㄉㄡ1" - ], - "㨯": [ - "ㄏㄨㄛ4" - ], - "㨰": [ - "ㄍㄨㄣ3" - ], - "㨱": [ - "ㄧㄠ2" - ], - "㨲": [ - "ㄘㄜ4" - ], - "㨳": [ - "ㄍㄨㄟ3", - "ㄐㄧ4" - ], - "㨴": [ - "ㄐㄧㄢ4" - ], - "㨵": [ - "ㄐㄧㄢ3" - ], - "㨶": [ - "ㄉㄠ3" - ], - "㨷": [ - "ㄐㄧㄣ4" - ], - "㨸": [ - "ㄇㄚ4" - ], - "㨹": [ - "ㄏㄨㄟ4", - "ㄒㄩㄝ3" - ], - "㨺": [ - "ㄇㄧㄢ3", - "ㄇㄣ2" - ], - "㨻": [ - "ㄘㄢ2", - "ㄕㄢ3", - "ㄗㄢ4", - "ㄔㄢ4" - ], - "㨼": [ - "ㄌㄩㄝ4" - ], - "㨽": [ - "ㄆㄧ4" - ], - "㨾": [ - "ㄧㄤ4" - ], - "㨿": [ - "ㄐㄩ4" - ], - "㩀": [ - "ㄐㄩ4" - ], - "㩁": [ - "ㄑㄩㄝ4" - ], - "㩃": [ - "ㄑㄧㄢ1" - ], - "㩄": [ - "ㄕㄞ1" - ], - "㩆": [ - "ㄐㄧㄡ4", - "ㄗㄨ2" - ], - "㩇": [ - "ㄏㄨㄛ4", - "ㄗㄨㄛ2", - "ㄏㄨㄚ2" - ], - "㩈": [ - "ㄩㄣ3" - ], - "㩉": [ - "ㄉㄚ2", - "ㄌㄚ1", - "ㄒㄧ1", - "ㄒㄧㄝ2" - ], - "㩊": [ - "ㄒㄩㄢ1" - ], - "㩋": [ - "ㄒㄧㄠ1", - "ㄙㄨ4" - ], - "㩌": [ - "ㄈㄟ4" - ], - "㩍": [ - "ㄘㄜ4" - ], - "㩎": [ - "ㄧㄝ4" - ], - "㩐": [ - "ㄉㄣ4" - ], - "㩒": [ - "ㄑㄧㄣ2" - ], - "㩓": [ - "ㄏㄨㄟ3" - ], - "㩔": [ - "ㄊㄨㄣ2" - ], - "㩖": [ - "ㄑㄧㄤ2" - ], - "㩗": [ - "ㄒㄧ2" - ], - "㩘": [ - "ㄋㄧ3" - ], - "㩙": [ - "ㄙㄞ1" - ], - "㩚": [ - "ㄇㄥ2" - ], - "㩛": [ - "ㄊㄨㄢ2" - ], - "㩜": [ - "ㄌㄢ3" - ], - "㩝": [ - "ㄏㄠ2" - ], - "㩞": [ - "ㄘ4" - ], - "㩟": [ - "ㄓㄞ4" - ], - "㩠": [ - "ㄠ1", - "ㄆㄧㄠ3", - "ㄆㄡ2" - ], - "㩡": [ - "ㄌㄨㄛ3" - ], - "㩢": [ - "ㄇㄧㄝ4", - "ㄇㄧ4" - ], - "㩤": [ - "ㄈㄨ1" - ], - "㩦": [ - "ㄒㄧㄝ2", - "ㄒㄧ1" - ], - "㩧": [ - "ㄅㄛ2" - ], - "㩨": [ - "ㄏㄨㄟ4" - ], - "㩩": [ - "ㄑㄧㄥ3" - ], - "㩪": [ - "ㄒㄧㄝ2" - ], - "㩭": [ - "ㄅㄛ2" - ], - "㩮": [ - "ㄑㄧㄢ2" - ], - "㩯": [ - "ㄆㄛ2" - ], - "㩰": [ - "ㄐㄧㄠ3" - ], - "㩱": [ - "ㄐㄩㄝ2" - ], - "㩲": [ - "ㄎㄨㄣ3" - ], - "㩳": [ - "ㄙㄨㄥ3" - ], - "㩴": [ - "ㄐㄩ2", - "ㄑㄩ2" - ], - "㩵": [ - "ㄜ4" - ], - "㩶": [ - "ㄋㄧㄝ4" - ], - "㩷": [ - "ㄑㄧㄢ1" - ], - "㩸": [ - "ㄉㄧㄝ2" - ], - "㩹": [ - "ㄉㄧㄝ2" - ], - "㩻": [ - "ㄑㄧ1", - "ㄍㄨㄟ4", - "ㄍㄨㄟ3" - ], - "㩼": [ - "ㄓ1" - ], - "㩽": [ - "ㄑㄧ2", - "ㄔ4", - "ㄜ4" - ], - "㩾": [ - "ㄓㄨㄟ4", - "ㄑㄧ2" - ], - "㩿": [ - "ㄎㄨ1" - ], - "㪀": [ - "ㄩ2" - ], - "㪁": [ - "ㄑㄧㄣ2", - "ㄎㄢ1", - "ㄑㄧㄢ4", - "ㄑㄧㄢ2" - ], - "㪂": [ - "ㄎㄨ1" - ], - "㪃": [ - "ㄏㄜ2" - ], - "㪄": [ - "ㄈㄨ2" - ], - "㪅": [ - "ㄍㄥ4", - "ㄍㄥ1" - ], - "㪆": [ - "ㄉㄧ3" - ], - "㪇": [ - "ㄒㄧㄢ4" - ], - "㪈": [ - "ㄍㄨㄟ4" - ], - "㪉": [ - "ㄏㄜ2" - ], - "㪊": [ - "ㄑㄩㄣ2" - ], - "㪋": [ - "ㄏㄢ4", - "ㄏㄜ3" - ], - "㪌": [ - "ㄊㄨㄥ3" - ], - "㪍": [ - "ㄅㄛ2", - "ㄅㄟ4" - ], - "㪎": [ - "ㄕㄢ3", - "ㄋㄚ4" - ], - "㪏": [ - "ㄅㄧ3" - ], - "㪐": [ - "ㄌㄨ4" - ], - "㪑": [ - "ㄧㄝ4" - ], - "㪒": [ - "ㄋㄧ2" - ], - "㪓": [ - "ㄔㄨㄞ2" - ], - "㪔": [ - "ㄙㄢ4" - ], - "㪕": [ - "ㄉㄧㄠ4", - "ㄔㄨㄛ4" - ], - "㪖": [ - "ㄌㄨ4" - ], - "㪗": [ - "ㄊㄡ3" - ], - "㪘": [ - "ㄌㄧㄢ3" - ], - "㪙": [ - "ㄎㄜ3" - ], - "㪚": [ - "ㄙㄢ4" - ], - "㪛": [ - "ㄓㄣ3" - ], - "㪜": [ - "ㄔㄨㄞ3", - "ㄉㄨㄛ3" - ], - "㪝": [ - "ㄌㄧㄢ4" - ], - "㪞": [ - "ㄇㄠ4" - ], - "㪠": [ - "ㄑㄧㄢ1", - "ㄑㄧㄢ4", - "ㄐㄧㄢ1" - ], - "㪡": [ - "ㄎㄞ4", - "ㄎㄜ3" - ], - "㪢": [ - "ㄕㄠ3" - ], - "㪣": [ - "ㄒㄧㄠ1", - "ㄑㄧㄠ1" - ], - "㪤": [ - "ㄅㄧ4" - ], - "㪥": [ - "ㄓㄚ1" - ], - "㪦": [ - "ㄧㄣ4" - ], - "㪧": [ - "ㄒㄧ1" - ], - "㪨": [ - "ㄕㄢ4" - ], - "㪩": [ - "ㄙㄨ4" - ], - "㪪": [ - "ㄙㄚ4" - ], - "㪫": [ - "ㄖㄨㄟ4" - ], - "㪬": [ - "ㄔㄨㄛ1", - "ㄓㄨㄛ2" - ], - "㪭": [ - "ㄌㄨ2" - ], - "㪮": [ - "ㄌㄧㄥ2" - ], - "㪯": [ - "ㄔㄚ2" - ], - "㪱": [ - "ㄏㄨㄢ4" - ], - "㪴": [ - "ㄐㄧㄚ2" - ], - "㪵": [ - "ㄅㄢ4" - ], - "㪶": [ - "ㄏㄨ2" - ], - "㪷": [ - "ㄉㄡ3" - ], - "㪹": [ - "ㄌㄡ3" - ], - "㪺": [ - "ㄐㄩ1" - ], - "㪻": [ - "ㄐㄩㄢ4" - ], - "㪼": [ - "ㄎㄜ3" - ], - "㪽": [ - "ㄙㄨㄛ3" - ], - "㪾": [ - "ㄌㄨㄛ4", - "ㄍㄜ2" - ], - "㪿": [ - "ㄓㄜ2" - ], - "㫀": [ - "ㄉㄧㄥ3" - ], - "㫁": [ - "ㄉㄨㄢ4" - ], - "㫂": [ - "ㄓㄨ4" - ], - "㫃": [ - "ㄧㄢ3" - ], - "㫄": [ - "ㄆㄤ2" - ], - "㫅": [ - "ㄔㄚ2" - ], - "㫊": [ - "ㄧ3", - "ㄜ3" - ], - "㫍": [ - "ㄧㄡ2", - "ㄧㄠ3" - ], - "㫎": [ - "ㄏㄨㄟ1", - "ㄍㄨㄣ3" - ], - "㫏": [ - "ㄧㄠ3" - ], - "㫐": [ - "ㄧㄠ3" - ], - "㫑": [ - "ㄓ3", - "ㄕ2" - ], - "㫒": [ - "ㄍㄨㄥ3" - ], - "㫓": [ - "ㄑㄧ3" - ], - "㫔": [ - "ㄍㄣ4" - ], - "㫗": [ - "ㄏㄡ4" - ], - "㫘": [ - "ㄇㄧ4" - ], - "㫙": [ - "ㄈㄨ2" - ], - "㫚": [ - "ㄏㄨ1" - ], - "㫛": [ - "ㄍㄨㄤ4" - ], - "㫜": [ - "ㄊㄢ3" - ], - "㫝": [ - "ㄉㄧ1" - ], - "㫟": [ - "ㄧㄢ2" - ], - "㫢": [ - "ㄑㄩ4" - ], - "㫤": [ - "ㄔㄤ3" - ], - "㫥": [ - "ㄇㄧㄥ3" - ], - "㫦": [ - "ㄊㄠ1" - ], - "㫧": [ - "ㄅㄠ4" - ], - "㫨": [ - "ㄢ1" - ], - "㫫": [ - "ㄒㄧㄢ3" - ], - "㫯": [ - "ㄇㄠ4" - ], - "㫰": [ - "ㄌㄤ4", - "ㄌㄤ3" - ], - "㫱": [ - "ㄋㄢ3", - "ㄋㄢ4" - ], - "㫲": [ - "ㄅㄟ4" - ], - "㫳": [ - "ㄔㄣ2" - ], - "㫵": [ - "ㄈㄟ1" - ], - "㫶": [ - "ㄓㄡ3" - ], - "㫷": [ - "ㄐㄧ1" - ], - "㫸": [ - "ㄐㄧㄝ1" - ], - "㫹": [ - "ㄕㄨ4" - ], - "㫻": [ - "ㄎㄨㄣ4" - ], - "㫼": [ - "ㄉㄧㄝ2" - ], - "㫽": [ - "ㄌㄨ4" - ], - "㬂": [ - "ㄩ2" - ], - "㬃": [ - "ㄊㄞ2" - ], - "㬄": [ - "ㄔㄢ4" - ], - "㬅": [ - "ㄇㄢ4" - ], - "㬆": [ - "ㄇㄧㄣ3" - ], - "㬇": [ - "ㄏㄨㄢ4" - ], - "㬈": [ - "ㄨㄣ1" - ], - "㬉": [ - "ㄋㄨㄢ3" - ], - "㬊": [ - "ㄏㄨㄢ4", - "ㄏㄨㄢ3" - ], - "㬋": [ - "ㄏㄡ2" - ], - "㬌": [ - "ㄐㄧㄥ4" - ], - "㬍": [ - "ㄅㄛ2" - ], - "㬎": [ - "ㄒㄧㄢ3" - ], - "㬏": [ - "ㄌㄧ4" - ], - "㬐": [ - "ㄐㄧㄣ4", - "ㄗ1" - ], - "㬒": [ - "ㄇㄤ3" - ], - "㬓": [ - "ㄆㄧㄠ4" - ], - "㬔": [ - "ㄏㄠ2" - ], - "㬕": [ - "ㄧㄤ2" - ], - "㬗": [ - "ㄒㄧㄢ4" - ], - "㬘": [ - "ㄙㄨ4" - ], - "㬙": [ - "ㄨㄟ3" - ], - "㬚": [ - "ㄔㄜ4" - ], - "㬛": [ - "ㄒㄧ1" - ], - "㬜": [ - "ㄐㄧㄣ4" - ], - "㬝": [ - "ㄘㄥ2", - "ㄙㄨㄥ1" - ], - "㬞": [ - "ㄏㄜ4" - ], - "㬟": [ - "ㄈㄣ1" - ], - "㬠": [ - "ㄕㄞ4", - "ㄕㄚ4" - ], - "㬡": [ - "ㄌㄧㄥ2" - ], - "㬣": [ - "ㄉㄨㄟ4" - ], - "㬤": [ - "ㄑㄧ1" - ], - "㬥": [ - "ㄆㄨ4", - "ㄅㄛ2" - ], - "㬦": [ - "ㄩㄝ4" - ], - "㬧": [ - "ㄅㄛ2" - ], - "㬩": [ - "ㄏㄨㄟ4" - ], - "㬪": [ - "ㄉㄧㄝ2" - ], - "㬫": [ - "ㄧㄢ4" - ], - "㬬": [ - "ㄐㄩ4" - ], - "㬭": [ - "ㄐㄧㄠ4" - ], - "㬮": [ - "ㄋㄢ4" - ], - "㬯": [ - "ㄌㄧㄝ4" - ], - "㬰": [ - "ㄩ2" - ], - "㬱": [ - "ㄊㄧ4" - ], - "㬲": [ - "ㄊㄧㄢ1" - ], - "㬳": [ - "ㄨ3" - ], - "㬴": [ - "ㄏㄨㄥ3" - ], - "㬵": [ - "ㄒㄧㄠ2" - ], - "㬶": [ - "ㄏㄠ4" - ], - "㬸": [ - "ㄊㄧㄠ1" - ], - "㬹": [ - "ㄓㄥ1" - ], - "㬻": [ - "ㄏㄨㄤ1", - "ㄏㄤ1", - "ㄏㄨㄤ3" - ], - "㬼": [ - "ㄈㄨ4" - ], - "㬿": [ - "ㄊㄨㄣ1" - ], - "㭁": [ - "ㄖㄥ2" - ], - "㭂": [ - "ㄐㄧㄠ3" - ], - "㭄": [ - "ㄒㄧㄣ4" - ], - "㭇": [ - "ㄩㄢ4" - ], - "㭈": [ - "ㄐㄩㄝ2" - ], - "㭉": [ - "ㄏㄨㄚ2" - ], - "㭋": [ - "ㄅㄤ4" - ], - "㭌": [ - "ㄇㄡ2" - ], - "㭎": [ - "ㄍㄤ1" - ], - "㭏": [ - "ㄨㄟ3" - ], - "㭑": [ - "ㄇㄟ4" - ], - "㭒": [ - "ㄙ4" - ], - "㭓": [ - "ㄅㄧㄢ4" - ], - "㭔": [ - "ㄌㄨ2" - ], - "㭕": [ - "ㄑㄩ1" - ], - "㭘": [ - "ㄍㄜ2", - "ㄏㄜ2" - ], - "㭙": [ - "ㄓㄜ2" - ], - "㭚": [ - "ㄌㄩ3" - ], - "㭛": [ - "ㄆㄞ4", - "ㄅㄚ4" - ], - "㭜": [ - "ㄖㄨㄥ2" - ], - "㭝": [ - "ㄑㄧㄡ2", - "ㄡ4" - ], - "㭞": [ - "ㄌㄧㄝ4" - ], - "㭟": [ - "ㄍㄨㄥ3" - ], - "㭠": [ - "ㄒㄧㄢ3" - ], - "㭡": [ - "ㄒㄧ4", - "ㄒㄧㄣ4" - ], - "㭢": [ - "ㄒㄧㄣ1" - ], - "㭤": [ - "ㄋㄧㄠ3" - ], - "㭨": [ - "ㄒㄧㄝ2" - ], - "㭩": [ - "ㄌㄧㄝ4" - ], - "㭪": [ - "ㄈㄨ1" - ], - "㭫": [ - "ㄘㄨㄛ2", - "ㄘㄨㄢ2" - ], - "㭬": [ - "ㄓㄨㄛ2" - ], - "㭭": [ - "ㄅㄚ1", - "ㄅㄟ4", - "ㄅㄧㄝ1" - ], - "㭮": [ - "ㄗㄨㄛ4", - "ㄗㄢ3" - ], - "㭯": [ - "ㄓㄜ2", - "ㄉㄧㄝ2" - ], - "㭰": [ - "ㄗㄨㄟ1", - "ㄗㄨㄟ3" - ], - "㭱": [ - "ㄏㄜ2" - ], - "㭲": [ - "ㄐㄧ2" - ], - "㭴": [ - "ㄐㄧㄢ1" - ], - "㭸": [ - "ㄊㄨ2" - ], - "㭹": [ - "ㄒㄧㄢ2" - ], - "㭺": [ - "ㄧㄢ3", - "ㄧㄢ4", - "ㄢ1" - ], - "㭻": [ - "ㄊㄤ2" - ], - "㭼": [ - "ㄊㄚ4" - ], - "㭽": [ - "ㄉㄧ3" - ], - "㭾": [ - "ㄐㄩㄝ2" - ], - "㭿": [ - "ㄤ2" - ], - "㮀": [ - "ㄏㄢ2" - ], - "㮁": [ - "ㄒㄧㄠ2" - ], - "㮂": [ - "ㄐㄩ2" - ], - "㮃": [ - "ㄨㄟ1", - "ㄖㄨㄟ2" - ], - "㮄": [ - "ㄅㄤ3" - ], - "㮅": [ - "ㄓㄨㄟ1" - ], - "㮆": [ - "ㄋㄧㄝ4" - ], - "㮇": [ - "ㄊㄧㄢ4" - ], - "㮈": [ - "ㄋㄞ4" - ], - "㮋": [ - "ㄧㄡ3" - ], - "㮌": [ - "ㄇㄧㄢ2" - ], - "㮏": [ - "ㄋㄞ4", - "ㄋㄧ4", - "ㄋㄚ4" - ], - "㮐": [ - "ㄕㄥ3", - "ㄙ4" - ], - "㮑": [ - "ㄔㄚ1", - "ㄑㄧ4" - ], - "㮒": [ - "ㄧㄢ1", - "ㄧㄣ1" - ], - "㮓": [ - "ㄍㄣ4" - ], - "㮔": [ - "ㄔㄨㄥ4", - "ㄊㄨㄥ2" - ], - "㮕": [ - "ㄖㄨㄢ3" - ], - "㮖": [ - "ㄐㄧㄚ2" - ], - "㮗": [ - "ㄑㄧㄣ2" - ], - "㮘": [ - "ㄇㄠ2" - ], - "㮙": [ - "ㄜ4" - ], - "㮚": [ - "ㄌㄧ4" - ], - "㮛": [ - "ㄔ2", - "ㄧ2" - ], - "㮜": [ - "ㄗㄤ1" - ], - "㮝": [ - "ㄏㄜ2" - ], - "㮞": [ - "ㄐㄧㄝ2" - ], - "㮟": [ - "ㄋㄧㄢ3", - "ㄎㄚ1" - ], - "㮡": [ - "ㄍㄨㄢ4" - ], - "㮢": [ - "ㄏㄡ2" - ], - "㮣": [ - "ㄍㄞ4" - ], - "㮥": [ - "ㄅㄣ4", - "ㄈㄢ4" - ], - "㮦": [ - "ㄙㄨㄛ3", - "ㄙㄜ4" - ], - "㮧": [ - "ㄨ1", - "ㄨㄣ1" - ], - "㮨": [ - "ㄐㄧ4" - ], - "㮩": [ - "ㄒㄧ1" - ], - "㮪": [ - "ㄑㄩㄥ2" - ], - "㮫": [ - "ㄏㄜ2", - "ㄒㄧㄚ2", - "ㄑㄧㄚ4" - ], - "㮬": [ - "ㄨㄥ1" - ], - "㮭": [ - "ㄒㄧㄢ2" - ], - "㮮": [ - "ㄐㄧㄝ2" - ], - "㮯": [ - "ㄏㄨㄣ2", - "ㄏㄨㄚ2" - ], - "㮰": [ - "ㄆㄧ2" - ], - "㮱": [ - "ㄕㄣ1" - ], - "㮲": [ - "ㄔㄡ1" - ], - "㮳": [ - "ㄓㄣ4" - ], - "㮵": [ - "ㄓㄢ1" - ], - "㮶": [ - "ㄕㄨㄛ4" - ], - "㮷": [ - "ㄐㄧ1" - ], - "㮸": [ - "ㄙㄨㄥ4" - ], - "㮹": [ - "ㄓ3" - ], - "㮺": [ - "ㄅㄣ3" - ], - "㮾": [ - "ㄌㄤ3" - ], - "㮿": [ - "ㄅㄧ4" - ], - "㯀": [ - "ㄒㄩㄢ4" - ], - "㯁": [ - "ㄆㄟ2" - ], - "㯂": [ - "ㄉㄞ4" - ], - "㯃": [ - "ㄑㄧ1" - ], - "㯄": [ - "ㄓ1" - ], - "㯅": [ - "ㄆㄧ2", - "ㄅㄧ1" - ], - "㯆": [ - "ㄔㄢ3", - "ㄕㄢ4" - ], - "㯇": [ - "ㄅㄧ4" - ], - "㯈": [ - "ㄙㄨ4" - ], - "㯉": [ - "ㄏㄨㄛ4" - ], - "㯊": [ - "ㄏㄣ2" - ], - "㯋": [ - "ㄐㄩㄥ3", - "ㄧㄥ3" - ], - "㯌": [ - "ㄔㄨㄢ2" - ], - "㯍": [ - "ㄐㄧㄤ3" - ], - "㯎": [ - "ㄋㄣ4" - ], - "㯏": [ - "ㄍㄨ3" - ], - "㯐": [ - "ㄈㄤ3" - ], - "㯓": [ - "ㄊㄚ4", - "ㄉㄚ2" - ], - "㯔": [ - "ㄘㄨㄟ4" - ], - "㯕": [ - "ㄒㄧ1" - ], - "㯖": [ - "ㄉㄜ2" - ], - "㯗": [ - "ㄒㄧㄢ2" - ], - "㯘": [ - "ㄎㄨㄢ3" - ], - "㯙": [ - "ㄓㄜ2" - ], - "㯚": [ - "ㄊㄚ1" - ], - "㯛": [ - "ㄏㄨ2" - ], - "㯜": [ - "ㄘㄨㄟ4" - ], - "㯝": [ - "ㄌㄨ4" - ], - "㯞": [ - "ㄐㄩㄢ4" - ], - "㯟": [ - "ㄌㄨ4" - ], - "㯠": [ - "ㄑㄧㄢ4" - ], - "㯡": [ - "ㄆㄠ4", - "ㄆㄠ2" - ], - "㯢": [ - "ㄓㄣ4" - ], - "㯤": [ - "ㄌㄧ4" - ], - "㯥": [ - "ㄘㄠ2", - "ㄗㄠ1" - ], - "㯦": [ - "ㄑㄧ2" - ], - "㯩": [ - "ㄊㄧ4" - ], - "㯪": [ - "ㄌㄧㄥ2" - ], - "㯫": [ - "ㄑㄩ2" - ], - "㯬": [ - "ㄌㄧㄢ3" - ], - "㯭": [ - "ㄌㄨ3" - ], - "㯮": [ - "ㄕㄨ2" - ], - "㯯": [ - "ㄍㄨㄥ4", - "ㄉㄢ3", - "ㄐㄩ4" - ], - "㯰": [ - "ㄓㄜ2" - ], - "㯱": [ - "ㄆㄠ1" - ], - "㯲": [ - "ㄐㄧㄣ4" - ], - "㯳": [ - "ㄑㄧㄥ2" - ], - "㯶": [ - "ㄗㄨㄥ1" - ], - "㯷": [ - "ㄆㄨ2" - ], - "㯸": [ - "ㄐㄧㄣ3" - ], - "㯹": [ - "ㄅㄧㄠ3" - ], - "㯺": [ - "ㄐㄧㄢ4" - ], - "㯻": [ - "ㄍㄨㄣ3" - ], - "㯽": [ - "ㄅㄧㄣ1" - ], - "㯾": [ - "ㄗㄠ1" - ], - "㯿": [ - "ㄌㄧㄝ4", - "ㄌㄚ4" - ], - "㰀": [ - "ㄌㄧ2" - ], - "㰁": [ - "ㄌㄨㄛ3" - ], - "㰂": [ - "ㄕㄣ3" - ], - "㰃": [ - "ㄇㄧㄢ2", - "ㄇㄧㄢ4" - ], - "㰄": [ - "ㄐㄧㄢ4" - ], - "㰅": [ - "ㄉㄧ2", - "ㄓㄜ2" - ], - "㰆": [ - "ㄅㄟ4" - ], - "㰈": [ - "ㄌㄧㄢ3" - ], - "㰊": [ - "ㄒㄧㄢ2" - ], - "㰋": [ - "ㄆㄧㄣ2" - ], - "㰌": [ - "ㄑㄩㄝ4" - ], - "㰍": [ - "ㄌㄨㄥ2" - ], - "㰎": [ - "ㄗㄨㄟ4" - ], - "㰐": [ - "ㄐㄩㄝ2" - ], - "㰑": [ - "ㄕㄢ1" - ], - "㰒": [ - "ㄒㄩㄝ2" - ], - "㰔": [ - "ㄒㄧㄝ4" - ], - "㰖": [ - "ㄌㄢ3" - ], - "㰗": [ - "ㄑㄧ2" - ], - "㰘": [ - "ㄧ2" - ], - "㰙": [ - "ㄋㄨㄛ2" - ], - "㰚": [ - "ㄌㄧ2" - ], - "㰛": [ - "ㄩㄝ4" - ], - "㰝": [ - "ㄧ3" - ], - "㰞": [ - "ㄔ1" - ], - "㰟": [ - "ㄐㄧ4", - "ㄑㄧ4" - ], - "㰠": [ - "ㄏㄤ1" - ], - "㰡": [ - "ㄒㄧㄝ4" - ], - "㰢": [ - "ㄎㄥ1" - ], - "㰣": [ - "ㄗ1" - ], - "㰤": [ - "ㄏㄜ1", - "ㄑㄧㄝ4" - ], - "㰥": [ - "ㄒㄧ4", - "ㄏㄨㄟ4" - ], - "㰦": [ - "ㄑㄩ4" - ], - "㰧": [ - "ㄏㄞ1" - ], - "㰨": [ - "ㄒㄧㄚ1" - ], - "㰩": [ - "ㄏㄞ1" - ], - "㰪": [ - "ㄍㄨㄟ1" - ], - "㰫": [ - "ㄔㄢ1" - ], - "㰬": [ - "ㄒㄩㄣ2" - ], - "㰭": [ - "ㄒㄩ1" - ], - "㰮": [ - "ㄕㄣ4" - ], - "㰯": [ - "ㄎㄡ4", - "ㄊㄡ4", - "ㄊㄡ3", - "ㄏㄡ4" - ], - "㰰": [ - "ㄒㄧㄚ1", - "ㄑㄧㄝ4", - "ㄏㄜ1" - ], - "㰱": [ - "ㄕㄚ4" - ], - "㰲": [ - "ㄩ1", - "ㄒㄩ4" - ], - "㰳": [ - "ㄧㄚ4", - "ㄧㄚ1" - ], - "㰴": [ - "ㄆㄡ3" - ], - "㰵": [ - "ㄗㄨ2" - ], - "㰶": [ - "ㄧㄡ3", - "ㄡ3" - ], - "㰷": [ - "ㄗ4" - ], - "㰸": [ - "ㄌㄧㄢ3" - ], - "㰹": [ - "ㄒㄧㄢ1", - "ㄒㄧㄢ4", - "ㄏㄢ3" - ], - "㰺": [ - "ㄒㄧㄚ4", - "ㄒㄧㄚ2" - ], - "㰻": [ - "ㄧ3", - "ㄒㄧ1", - "ㄏㄡ4" - ], - "㰼": [ - "ㄕㄚ4", - "ㄑㄧㄝ4" - ], - "㰽": [ - "ㄧㄢ4" - ], - "㰾": [ - "ㄐㄧㄠ4" - ], - "㰿": [ - "ㄒㄧ1" - ], - "㱀": [ - "ㄔ3" - ], - "㱁": [ - "ㄕ4", - "ㄎㄨㄢ3" - ], - "㱂": [ - "ㄎㄤ1" - ], - "㱃": [ - "ㄧㄣ3" - ], - "㱄": [ - "ㄏㄟ1", - "ㄇㄛ4" - ], - "㱅": [ - "ㄧ4" - ], - "㱆": [ - "ㄒㄧ1" - ], - "㱇": [ - "ㄙㄜ4", - "ㄒㄧ4" - ], - "㱈": [ - "ㄐㄧㄣ4" - ], - "㱉": [ - "ㄧㄝ4" - ], - "㱊": [ - "ㄧㄡ1" - ], - "㱋": [ - "ㄑㄩㄝ4" - ], - "㱌": [ - "ㄧㄝ2", - "ㄔㄜ4" - ], - "㱍": [ - "ㄌㄨㄢ2" - ], - "㱎": [ - "ㄎㄨㄣ1" - ], - "㱏": [ - "ㄓㄥ4" - ], - "㱔": [ - "ㄒㄧㄝ1" - ], - "㱖": [ - "ㄘㄨㄟ4" - ], - "㱗": [ - "ㄒㄧㄡ1" - ], - "㱘": [ - "ㄢ4" - ], - "㱙": [ - "ㄒㄧㄡ3", - "ㄍㄨㄚ3" - ], - "㱚": [ - "ㄘㄢ2" - ], - "㱛": [ - "ㄔㄨㄢ3", - "ㄅㄨ4" - ], - "㱜": [ - "ㄓㄚ2" - ], - "㱞": [ - "ㄧ4", - "ㄌㄚ1" - ], - "㱟": [ - "ㄆㄧ1", - "ㄆㄧ3" - ], - "㱠": [ - "ㄎㄨ1", - "ㄍㄨ1" - ], - "㱡": [ - "ㄕㄥ1" - ], - "㱢": [ - "ㄌㄤ2" - ], - "㱣": [ - "ㄊㄨㄟ3" - ], - "㱤": [ - "ㄒㄧ1" - ], - "㱥": [ - "ㄌㄧㄥ2", - "ㄌㄥ4" - ], - "㱦": [ - "ㄑㄧ1" - ], - "㱧": [ - "ㄨㄛ4", - "ㄩㄢ3" - ], - "㱨": [ - "ㄌㄧㄢ4" - ], - "㱩": [ - "ㄉㄨ2" - ], - "㱪": [ - "ㄇㄣ4" - ], - "㱫": [ - "ㄌㄢ4" - ], - "㱬": [ - "ㄨㄟ3" - ], - "㱭": [ - "ㄉㄨㄢ4" - ], - "㱮": [ - "ㄎㄨㄞ4" - ], - "㱯": [ - "ㄞ2" - ], - "㱰": [ - "ㄗㄞ3" - ], - "㱱": [ - "ㄏㄨㄟ4" - ], - "㱲": [ - "ㄧ4" - ], - "㱳": [ - "ㄇㄛ4" - ], - "㱴": [ - "ㄗ4" - ], - "㱵": [ - "ㄈㄣ4" - ], - "㱶": [ - "ㄆㄥ2", - "ㄅㄥ1" - ], - "㱸": [ - "ㄅㄧ4" - ], - "㱹": [ - "ㄌㄧ4" - ], - "㱺": [ - "ㄌㄨ2" - ], - "㱻": [ - "ㄌㄨㄛ4" - ], - "㱼": [ - "ㄏㄞ1" - ], - "㱽": [ - "ㄓㄣ3", - "ㄑㄧㄣ2" - ], - "㱾": [ - "ㄍㄞ1", - "ㄎㄞ1" - ], - "㱿": [ - "ㄑㄩㄝ4", - "ㄏㄨ4", - "ㄑㄧㄤ3" - ], - "㲀": [ - "ㄓㄣ1", - "ㄔㄣ1" - ], - "㲁": [ - "ㄎㄨㄥ1", - "ㄓㄨㄥ1" - ], - "㲂": [ - "ㄔㄥ2" - ], - "㲃": [ - "ㄐㄧㄡ4" - ], - "㲄": [ - "ㄐㄩㄝ2", - "ㄎㄨ1" - ], - "㲅": [ - "ㄐㄧ4" - ], - "㲆": [ - "ㄌㄧㄥ2" - ], - "㲈": [ - "ㄕㄠ2", - "ㄊㄠ2" - ], - "㲉": [ - "ㄑㄩㄝ4" - ], - "㲊": [ - "ㄖㄨㄟ4" - ], - "㲋": [ - "ㄔㄨㄛ4" - ], - "㲌": [ - "ㄋㄥ4" - ], - "㲍": [ - "ㄓ1" - ], - "㲎": [ - "ㄌㄡ2" - ], - "㲏": [ - "ㄆㄠ1" - ], - "㲒": [ - "ㄅㄠ4", - "ㄑㄩ2" - ], - "㲓": [ - "ㄖㄨㄥ2", - "ㄕㄨ4" - ], - "㲔": [ - "ㄒㄧㄢ1" - ], - "㲕": [ - "ㄌㄟ4" - ], - "㲖": [ - "ㄒㄧㄠ1" - ], - "㲗": [ - "ㄈㄨ1" - ], - "㲘": [ - "ㄑㄩ2" - ], - "㲚": [ - "ㄕㄚ1" - ], - "㲛": [ - "ㄓ3" - ], - "㲜": [ - "ㄊㄢ2" - ], - "㲝": [ - "ㄖㄨㄥ3" - ], - "㲞": [ - "ㄙㄨ1", - "ㄗㄨ2" - ], - "㲟": [ - "ㄧㄥ3" - ], - "㲠": [ - "ㄇㄠ2" - ], - "㲡": [ - "ㄋㄞ4" - ], - "㲢": [ - "ㄅㄧㄢ4" - ], - "㲤": [ - "ㄕㄨㄞ1" - ], - "㲥": [ - "ㄊㄤ2" - ], - "㲦": [ - "ㄏㄢ4" - ], - "㲧": [ - "ㄙㄠ4" - ], - "㲨": [ - "ㄖㄨㄥ2" - ], - "㲪": [ - "ㄉㄥ1" - ], - "㲫": [ - "ㄆㄨ2" - ], - "㲬": [ - "ㄐㄧㄠ1" - ], - "㲭": [ - "ㄊㄢ3" - ], - "㲯": [ - "ㄖㄢ2" - ], - "㲰": [ - "ㄋㄧㄥ2" - ], - "㲱": [ - "ㄌㄧㄝ4" - ], - "㲲": [ - "ㄉㄧㄝ2" - ], - "㲳": [ - "ㄉㄧㄝ2", - "ㄓ4" - ], - "㲴": [ - "ㄓㄨㄥ4" - ], - "㲶": [ - "ㄌㄩ4" - ], - "㲷": [ - "ㄉㄢ4" - ], - "㲸": [ - "ㄒㄧ1" - ], - "㲹": [ - "ㄍㄨㄟ3" - ], - "㲺": [ - "ㄐㄧ2" - ], - "㲻": [ - "ㄋㄧ4" - ], - "㲼": [ - "ㄧ4", - "ㄔㄚ4" - ], - "㲽": [ - "ㄋㄧㄢ4", - "ㄖㄣ3" - ], - "㲾": [ - "ㄩ3" - ], - "㲿": [ - "ㄨㄤ3" - ], - "㳀": [ - "ㄍㄨㄛ4" - ], - "㳁": [ - "ㄗㄜ4" - ], - "㳂": [ - "ㄧㄢ2", - "ㄧㄢ4" - ], - "㳃": [ - "ㄘㄨㄟ4" - ], - "㳄": [ - "ㄒㄧㄢ2" - ], - "㳅": [ - "ㄐㄧㄠ3" - ], - "㳆": [ - "ㄊㄡ3" - ], - "㳇": [ - "ㄈㄨ4" - ], - "㳈": [ - "ㄆㄟ4" - ], - "㳊": [ - "ㄧㄡ1", - "ㄓㄨㄥ1" - ], - "㳋": [ - "ㄑㄧㄡ1" - ], - "㳌": [ - "ㄧㄚ1" - ], - "㳍": [ - "ㄅㄨ4" - ], - "㳎": [ - "ㄅㄧㄢ4" - ], - "㳏": [ - "ㄕ4" - ], - "㳐": [ - "ㄓㄚ2" - ], - "㳑": [ - "ㄧ4" - ], - "㳒": [ - "ㄅㄧㄢ4" - ], - "㳔": [ - "ㄉㄨㄟ4" - ], - "㳕": [ - "ㄌㄢ2" - ], - "㳖": [ - "ㄧ1" - ], - "㳗": [ - "ㄔㄞ4", - "ㄔㄚ4" - ], - "㳘": [ - "ㄔㄨㄥ1" - ], - "㳙": [ - "ㄒㄩㄢ4" - ], - "㳚": [ - "ㄒㄩ4" - ], - "㳛": [ - "ㄩ2", - "ㄧㄡ2" - ], - "㳜": [ - "ㄒㄧㄡ1" - ], - "㳠": [ - "ㄊㄚ4" - ], - "㳡": [ - "ㄍㄨㄛ1" - ], - "㳥": [ - "ㄌㄨㄥ4" - ], - "㳦": [ - "ㄒㄧㄝ4" - ], - "㳧": [ - "ㄔㄜ4", - "ㄖㄜ4" - ], - "㳨": [ - "ㄐㄧㄢ3" - ], - "㳩": [ - "ㄊㄢ1" - ], - "㳪": [ - "ㄆㄧ4" - ], - "㳫": [ - "ㄗㄢ3" - ], - "㳬": [ - "ㄒㄩㄢ2" - ], - "㳭": [ - "ㄒㄧㄢ2" - ], - "㳮": [ - "ㄋㄧㄠ4" - ], - "㳴": [ - "ㄇㄧ4" - ], - "㳵": [ - "ㄐㄧ4" - ], - "㳶": [ - "ㄋㄡ3", - "ㄖㄨ3" - ], - "㳷": [ - "ㄏㄨ1", - "ㄇㄧㄣ3", - "ㄨㄣ3", - "ㄊㄨㄟ4" - ], - "㳸": [ - "ㄏㄨㄚ1" - ], - "㳹": [ - "ㄨㄤ3", - "ㄨㄤ1" - ], - "㳺": [ - "ㄧㄡ2" - ], - "㳻": [ - "ㄗㄜ2" - ], - "㳼": [ - "ㄅㄧ4", - "ㄩ4" - ], - "㳽": [ - "ㄇㄧ3" - ], - "㳾": [ - "ㄑㄧㄤ1" - ], - "㳿": [ - "ㄒㄧㄝ4" - ], - "㴀": [ - "ㄈㄢ4", - "ㄈㄢ1" - ], - "㴁": [ - "ㄧ4" - ], - "㴂": [ - "ㄊㄢ1" - ], - "㴃": [ - "ㄌㄟ4" - ], - "㴄": [ - "ㄩㄥ3" - ], - "㴆": [ - "ㄐㄧㄣ4" - ], - "㴇": [ - "ㄕㄜ4", - "ㄇㄤ2" - ], - "㴈": [ - "ㄧㄣ4" - ], - "㴉": [ - "ㄐㄧ3" - ], - "㴋": [ - "ㄙㄨ4" - ], - "㴎": [ - "ㄋㄞ4" - ], - "㴏": [ - "ㄨㄤ3" - ], - "㴐": [ - "ㄇㄧㄢ4", - "ㄇㄧㄢ3" - ], - "㴑": [ - "ㄙㄨ4" - ], - "㴒": [ - "ㄧ4" - ], - "㴓": [ - "ㄕㄞ1" - ], - "㴔": [ - "ㄒㄧ1", - "ㄐㄧ2", - "ㄧ4", - "ㄙㄜ4" - ], - "㴕": [ - "ㄐㄧ2" - ], - "㴖": [ - "ㄌㄨㄛ4" - ], - "㴗": [ - "ㄧㄡ1" - ], - "㴘": [ - "ㄇㄠ4" - ], - "㴙": [ - "ㄓㄚ3", - "ㄓㄚ2" - ], - "㴚": [ - "ㄙㄨㄟ4" - ], - "㴛": [ - "ㄓ4" - ], - "㴜": [ - "ㄅㄧㄢ4" - ], - "㴝": [ - "ㄌㄧ2" - ], - "㴥": [ - "ㄑㄧㄠ4" - ], - "㴦": [ - "ㄍㄨㄢ4" - ], - "㴧": [ - "ㄒㄧ1" - ], - "㴨": [ - "ㄓㄣ4" - ], - "㴩": [ - "ㄩㄥ1" - ], - "㴪": [ - "ㄋㄧㄝ4" - ], - "㴫": [ - "ㄐㄩㄣ4", - "ㄧㄚ2" - ], - "㴬": [ - "ㄒㄧㄝ4" - ], - "㴭": [ - "ㄧㄠ3" - ], - "㴮": [ - "ㄒㄧㄝ4" - ], - "㴯": [ - "ㄓ1" - ], - "㴰": [ - "ㄋㄥ2" - ], - "㴲": [ - "ㄙ1" - ], - "㴳": [ - "ㄌㄨㄥ3" - ], - "㴴": [ - "ㄔㄣ2" - ], - "㴵": [ - "ㄇㄧ4" - ], - "㴶": [ - "ㄑㄩㄝ4", - "ㄏㄨ2" - ], - "㴷": [ - "ㄉㄢ1" - ], - "㴸": [ - "ㄕㄢ3" - ], - "㴼": [ - "ㄙㄨ4" - ], - "㴽": [ - "ㄒㄧㄝ4" - ], - "㴾": [ - "ㄅㄛ2" - ], - "㴿": [ - "ㄉㄧㄥ3" - ], - "㵀": [ - "ㄗㄨ2" - ], - "㵂": [ - "ㄕㄨ4" - ], - "㵃": [ - "ㄕㄜ2" - ], - "㵄": [ - "ㄏㄢ4", - "ㄩ4" - ], - "㵅": [ - "ㄊㄢ1", - "ㄊㄢ4" - ], - "㵆": [ - "ㄍㄠ3" - ], - "㵊": [ - "ㄋㄚ4" - ], - "㵋": [ - "ㄇㄧ4" - ], - "㵌": [ - "ㄒㄩㄣ2" - ], - "㵍": [ - "ㄇㄣ4" - ], - "㵎": [ - "ㄐㄧㄢ4" - ], - "㵏": [ - "ㄘㄨㄟ3" - ], - "㵐": [ - "ㄐㄩㄝ2" - ], - "㵑": [ - "ㄏㄜ4" - ], - "㵒": [ - "ㄈㄟ4", - "ㄆㄞ4", - "ㄅㄧ4" - ], - "㵓": [ - "ㄕ2" - ], - "㵔": [ - "ㄔㄜ3" - ], - "㵕": [ - "ㄕㄣ4" - ], - "㵖": [ - "ㄋㄩ4" - ], - "㵗": [ - "ㄆㄧㄥ2" - ], - "㵘": [ - "ㄇㄢ4" - ], - "㵝": [ - "ㄧ4" - ], - "㵞": [ - "ㄔㄡ2" - ], - "㵠": [ - "ㄎㄨ1" - ], - "㵡": [ - "ㄅㄠ2" - ], - "㵢": [ - "ㄌㄟ2" - ], - "㵣": [ - "ㄎㄜ3" - ], - "㵤": [ - "ㄕㄚ4" - ], - "㵥": [ - "ㄅㄧ4" - ], - "㵦": [ - "ㄙㄨㄟ2" - ], - "㵧": [ - "ㄍㄜ2", - "ㄧ4" - ], - "㵨": [ - "ㄆㄧ4", - "ㄅㄛ2" - ], - "㵩": [ - "ㄧ4" - ], - "㵪": [ - "ㄒㄧㄢ2", - "ㄧㄢ4", - "ㄧㄢ2" - ], - "㵫": [ - "ㄋㄧ4" - ], - "㵬": [ - "ㄧㄥ2" - ], - "㵭": [ - "ㄓㄨ3" - ], - "㵮": [ - "ㄔㄨㄣ2" - ], - "㵯": [ - "ㄈㄥ2" - ], - "㵰": [ - "ㄒㄩ4" - ], - "㵱": [ - "ㄆㄧㄠ3" - ], - "㵲": [ - "ㄨ3" - ], - "㵳": [ - "ㄌㄧㄠ2" - ], - "㵴": [ - "ㄘㄤ2" - ], - "㵵": [ - "ㄗㄡ4", - "ㄐㄩ4" - ], - "㵶": [ - "ㄗㄨㄛ1" - ], - "㵷": [ - "ㄅㄧㄢ4" - ], - "㵸": [ - "ㄧㄠ4" - ], - "㵹": [ - "ㄏㄨㄢ2", - "ㄇㄛ4" - ], - "㵺": [ - "ㄆㄞ4" - ], - "㵻": [ - "ㄒㄧㄡ1" - ], - "㵽": [ - "ㄌㄟ3" - ], - "㵾": [ - "ㄑㄧㄥ4", - "ㄐㄧㄥ4" - ], - "㵿": [ - "ㄒㄧㄠ4" - ], - "㶀": [ - "ㄐㄧㄠ1" - ], - "㶁": [ - "ㄍㄨㄛ2", - "ㄏㄨㄛ4" - ], - "㶄": [ - "ㄧㄢ2" - ], - "㶅": [ - "ㄒㄩㄝ2" - ], - "㶆": [ - "ㄓㄨ1", - "ㄔㄨ2" - ], - "㶇": [ - "ㄏㄥ2" - ], - "㶈": [ - "ㄧㄥ2" - ], - "㶉": [ - "ㄒㄧ1" - ], - "㶌": [ - "ㄌㄧㄢ2" - ], - "㶍": [ - "ㄒㄧㄢ3" - ], - "㶎": [ - "ㄏㄨㄢ2" - ], - "㶏": [ - "ㄧㄣ1" - ], - "㶑": [ - "ㄌㄧㄢ4" - ], - "㶒": [ - "ㄕㄢ3", - "ㄕㄣ3", - "ㄊㄢ4" - ], - "㶓": [ - "ㄘㄤ2" - ], - "㶔": [ - "ㄅㄟ4" - ], - "㶕": [ - "ㄐㄧㄢ3" - ], - "㶖": [ - "ㄕㄨ4" - ], - "㶗": [ - "ㄈㄢ4", - "ㄈㄢ2" - ], - "㶘": [ - "ㄉㄧㄢ4" - ], - "㶚": [ - "ㄅㄚ4" - ], - "㶛": [ - "ㄩ2" - ], - "㶞": [ - "ㄋㄤ3" - ], - "㶟": [ - "ㄌㄟ3" - ], - "㶠": [ - "ㄧ4" - ], - "㶡": [ - "ㄉㄞ4", - "ㄏㄨㄛ3" - ], - "㶣": [ - "ㄔㄢ2", - "ㄧㄣ2" - ], - "㶤": [ - "ㄔㄠ3" - ], - "㶥": [ - "ㄍㄢ1" - ], - "㶦": [ - "ㄐㄧㄣ4" - ], - "㶧": [ - "ㄋㄣ4" - ], - "㶫": [ - "ㄌㄧㄠ3" - ], - "㶬": [ - "ㄇㄛ4" - ], - "㶭": [ - "ㄧㄡ3" - ], - "㶯": [ - "ㄌㄧㄡ4" - ], - "㶰": [ - "ㄏㄢ2" - ], - "㶲": [ - "ㄩㄥ4" - ], - "㶳": [ - "ㄐㄧㄣ4" - ], - "㶴": [ - "ㄔ3" - ], - "㶵": [ - "ㄖㄣ4" - ], - "㶶": [ - "ㄋㄨㄥ2" - ], - "㶹": [ - "ㄏㄨㄥ4" - ], - "㶺": [ - "ㄊㄧㄢ4" - ], - "㶼": [ - "ㄞ1", - "ㄒㄧ1" - ], - "㶽": [ - "ㄍㄨㄚ1" - ], - "㶾": [ - "ㄅㄧㄠ1" - ], - "㶿": [ - "ㄅㄛ2" - ], - "㷀": [ - "ㄑㄩㄥ2" - ], - "㷂": [ - "ㄕㄨ4" - ], - "㷃": [ - "ㄔㄨㄟ3" - ], - "㷄": [ - "ㄏㄨㄟ3" - ], - "㷅": [ - "ㄔㄠ3" - ], - "㷆": [ - "ㄈㄨ4" - ], - "㷇": [ - "ㄏㄨㄟ1", - "ㄍㄨㄞ4" - ], - "㷈": [ - "ㄜ4" - ], - "㷉": [ - "ㄨㄟ4" - ], - "㷊": [ - "ㄈㄣ2" - ], - "㷋": [ - "ㄊㄢ2" - ], - "㷍": [ - "ㄌㄨㄣ2" - ], - "㷎": [ - "ㄏㄜ4" - ], - "㷏": [ - "ㄩㄥ3" - ], - "㷐": [ - "ㄏㄨㄟ3" - ], - "㷒": [ - "ㄩ2" - ], - "㷓": [ - "ㄗㄨㄥ3" - ], - "㷔": [ - "ㄧㄢ4" - ], - "㷕": [ - "ㄑㄧㄡ2" - ], - "㷖": [ - "ㄓㄠ4" - ], - "㷗": [ - "ㄐㄩㄥ3" - ], - "㷘": [ - "ㄊㄞ2" - ], - "㷟": [ - "ㄊㄨㄟ4" - ], - "㷠": [ - "ㄌㄧㄣ2" - ], - "㷡": [ - "ㄐㄩㄥ3" - ], - "㷢": [ - "ㄓㄚ3" - ], - "㷣": [ - "ㄒㄧㄥ1" - ], - "㷤": [ - "ㄏㄨ4", - "ㄒㄩㄝ4" - ], - "㷦": [ - "ㄒㄩ4" - ], - "㷪": [ - "ㄘㄨㄟ4" - ], - "㷫": [ - "ㄑㄧㄥ3" - ], - "㷬": [ - "ㄇㄛ4" - ], - "㷮": [ - "ㄗㄠ1" - ], - "㷯": [ - "ㄅㄥ4" - ], - "㷰": [ - "ㄔ1", - "ㄌㄧ2" - ], - "㷳": [ - "ㄧㄢ4" - ], - "㷴": [ - "ㄍㄜ2" - ], - "㷵": [ - "ㄇㄛ4" - ], - "㷶": [ - "ㄅㄟ4" - ], - "㷷": [ - "ㄐㄩㄢ3" - ], - "㷸": [ - "ㄉㄧㄝ2" - ], - "㷹": [ - "ㄓㄠ4", - "ㄕㄠ4" - ], - "㷻": [ - "ㄨ2" - ], - "㷼": [ - "ㄧㄢ4" - ], - "㷾": [ - "ㄐㄩㄝ2" - ], - "㷿": [ - "ㄒㄧㄢ1" - ], - "㸀": [ - "ㄊㄞ2" - ], - "㸁": [ - "ㄏㄢ3" - ], - "㸃": [ - "ㄉㄧㄢ3" - ], - "㸄": [ - "ㄐㄧ4" - ], - "㸅": [ - "ㄐㄧㄝ2", - "ㄐㄧ2" - ], - "㸆": [ - "ㄎㄠ4" - ], - "㸇": [ - "ㄗㄨㄢ3" - ], - "㸉": [ - "ㄒㄧㄝ4" - ], - "㸊": [ - "ㄌㄞ4", - "ㄌㄚ4" - ], - "㸋": [ - "ㄈㄢ2" - ], - "㸌": [ - "ㄏㄨㄛ4" - ], - "㸍": [ - "ㄒㄧ4" - ], - "㸎": [ - "ㄋㄧㄝ4" - ], - "㸏": [ - "ㄇㄧ2" - ], - "㸐": [ - "ㄖㄢ2" - ], - "㸑": [ - "ㄘㄨㄢ4" - ], - "㸒": [ - "ㄧㄣ2", - "ㄐㄧㄥ1" - ], - "㸓": [ - "ㄇㄧ4" - ], - "㸕": [ - "ㄐㄩㄝ2" - ], - "㸖": [ - "ㄑㄩ1" - ], - "㸗": [ - "ㄊㄨㄥ2" - ], - "㸘": [ - "ㄨㄢ4" - ], - "㸙": [ - "ㄓㄜ1" - ], - "㸚": [ - "ㄌㄧ3", - "ㄌㄧ4" - ], - "㸛": [ - "ㄕㄠ2" - ], - "㸜": [ - "ㄎㄨㄥ4" - ], - "㸝": [ - "ㄒㄧㄢ1", - "ㄎㄢ3" - ], - "㸞": [ - "ㄓㄜ2" - ], - "㸟": [ - "ㄓ1" - ], - "㸠": [ - "ㄊㄧㄠ3" - ], - "㸡": [ - "ㄕㄨ1" - ], - "㸢": [ - "ㄅㄟ4" - ], - "㸣": [ - "ㄧㄝ4" - ], - "㸤": [ - "ㄆㄧㄢ4" - ], - "㸥": [ - "ㄔㄢ4" - ], - "㸦": [ - "ㄏㄨ4", - "ㄐㄧㄚ4" - ], - "㸧": [ - "ㄎㄣ4" - ], - "㸨": [ - "ㄐㄧㄡ1" - ], - "㸩": [ - "ㄢ1" - ], - "㸪": [ - "ㄔㄨㄣ2" - ], - "㸫": [ - "ㄑㄧㄢ2" - ], - "㸬": [ - "ㄅㄟ4" - ], - "㸭": [ - "ㄅㄚ1" - ], - "㸮": [ - "ㄈㄣ2" - ], - "㸯": [ - "ㄎㄜ1" - ], - "㸰": [ - "ㄊㄨㄛ2" - ], - "㸱": [ - "ㄊㄨㄛ2" - ], - "㸲": [ - "ㄗㄨㄛ2" - ], - "㸳": [ - "ㄌㄧㄥ2" - ], - "㸵": [ - "ㄍㄨㄟ3" - ], - "㸶": [ - "ㄧㄢ1" - ], - "㸷": [ - "ㄕ4" - ], - "㸸": [ - "ㄏㄡ3", - "ㄡ3", - "ㄎㄡ3" - ], - "㸹": [ - "ㄌㄧㄝ4", - "ㄌㄨㄛ1" - ], - "㸺": [ - "ㄕㄚ1" - ], - "㸻": [ - "ㄙ4" - ], - "㸽": [ - "ㄅㄟ4" - ], - "㸾": [ - "ㄖㄣ4" - ], - "㸿": [ - "ㄉㄨ2" - ], - "㹀": [ - "ㄅㄛ2" - ], - "㹁": [ - "ㄌㄧㄤ2" - ], - "㹂": [ - "ㄑㄧㄢ3" - ], - "㹃": [ - "ㄈㄟ4" - ], - "㹄": [ - "ㄐㄧ4" - ], - "㹅": [ - "ㄗㄨㄥ3" - ], - "㹆": [ - "ㄏㄨㄟ1" - ], - "㹇": [ - "ㄏㄜ2", - "ㄐㄧㄢ1" - ], - "㹈": [ - "ㄌㄧ2" - ], - "㹉": [ - "ㄩㄢ2", - "ㄨㄢ2" - ], - "㹊": [ - "ㄩㄝ4" - ], - "㹋": [ - "ㄒㄧㄡ1" - ], - "㹌": [ - "ㄔㄢ3", - "ㄕㄥ4" - ], - "㹍": [ - "ㄉㄧ2" - ], - "㹎": [ - "ㄌㄟ2" - ], - "㹏": [ - "ㄐㄧㄣ3" - ], - "㹐": [ - "ㄔㄨㄥ2" - ], - "㹑": [ - "ㄙ4" - ], - "㹒": [ - "ㄆㄨ3" - ], - "㹓": [ - "ㄧㄠ3" - ], - "㹔": [ - "ㄐㄧㄤ1" - ], - "㹕": [ - "ㄏㄨㄢ1" - ], - "㹖": [ - "ㄏㄨㄢ4" - ], - "㹗": [ - "ㄊㄠ1" - ], - "㹘": [ - "ㄖㄨ4" - ], - "㹙": [ - "ㄨㄥ3" - ], - "㹚": [ - "ㄧㄥ2" - ], - "㹛": [ - "ㄖㄠ2" - ], - "㹜": [ - "ㄧㄣ2" - ], - "㹝": [ - "ㄕ4" - ], - "㹞": [ - "ㄧㄣ2", - "ㄧㄣ3", - "ㄧㄚ2" - ], - "㹟": [ - "ㄐㄩㄝ2", - "ㄎㄨㄞ4" - ], - "㹠": [ - "ㄊㄨㄣ2" - ], - "㹡": [ - "ㄒㄩㄢ2" - ], - "㹢": [ - "ㄐㄧㄚ1", - "ㄍㄚ1" - ], - "㹣": [ - "ㄓㄨㄥ1" - ], - "㹤": [ - "ㄑㄧㄝ4" - ], - "㹥": [ - "ㄓㄨ4" - ], - "㹦": [ - "ㄉㄧㄠ1" - ], - "㹨": [ - "ㄧㄡ4" - ], - "㹫": [ - "ㄧ2" - ], - "㹬": [ - "ㄕ3" - ], - "㹭": [ - "ㄧ4" - ], - "㹮": [ - "ㄇㄛ4" - ], - "㹱": [ - "ㄑㄩㄝ4" - ], - "㹲": [ - "ㄒㄧㄠ1", - "ㄒㄧㄠ4" - ], - "㹳": [ - "ㄨ2" - ], - "㹴": [ - "ㄍㄥ1" - ], - "㹵": [ - "ㄧㄥ3" - ], - "㹶": [ - "ㄊㄧㄥ2" - ], - "㹷": [ - "ㄕ3" - ], - "㹸": [ - "ㄋㄧ2" - ], - "㹹": [ - "ㄍㄥ1" - ], - "㹺": [ - "ㄊㄚ4" - ], - "㹻": [ - "ㄨㄛ1", - "ㄨㄟ1" - ], - "㹼": [ - "ㄐㄩ2" - ], - "㹽": [ - "ㄔㄢ3" - ], - "㹾": [ - "ㄆㄧㄠ3", - "ㄐㄧㄠ4" - ], - "㹿": [ - "ㄓㄨㄛ2", - "ㄓㄠ4" - ], - "㺀": [ - "ㄏㄨ1", - "ㄋㄠ2" - ], - "㺁": [ - "ㄋㄠ3" - ], - "㺂": [ - "ㄧㄢ2", - "ㄍㄢ3" - ], - "㺃": [ - "ㄍㄡ3" - ], - "㺄": [ - "ㄩ3", - "ㄩ2" - ], - "㺅": [ - "ㄏㄡ2" - ], - "㺇": [ - "ㄙ1" - ], - "㺈": [ - "ㄔ1" - ], - "㺉": [ - "ㄏㄨ4" - ], - "㺊": [ - "ㄧㄤ4" - ], - "㺋": [ - "ㄨㄥ1" - ], - "㺌": [ - "ㄒㄧㄢ4" - ], - "㺍": [ - "ㄆㄧㄣ2" - ], - "㺎": [ - "ㄖㄨㄥ2" - ], - "㺏": [ - "ㄌㄡ2" - ], - "㺐": [ - "ㄌㄠ3", - "ㄙㄠ1" - ], - "㺑": [ - "ㄕㄢ1", - "ㄕㄢ4", - "ㄙㄠ1", - "ㄕㄢ3" - ], - "㺒": [ - "ㄒㄧㄠ1", - "ㄋㄠ3", - "ㄑㄧㄠ1", - "ㄒㄧㄠ4" - ], - "㺓": [ - "ㄗㄜ2" - ], - "㺔": [ - "ㄏㄞ4", - "ㄏㄨㄟ1" - ], - "㺕": [ - "ㄈㄢ2", - "ㄅㄧㄢ4" - ], - "㺖": [ - "ㄏㄢ3" - ], - "㺗": [ - "ㄔㄢ1" - ], - "㺘": [ - "ㄓㄢ4" - ], - "㺚": [ - "ㄊㄚ3" - ], - "㺛": [ - "ㄓㄨ4" - ], - "㺜": [ - "ㄋㄨㄥ2" - ], - "㺝": [ - "ㄏㄢ4" - ], - "㺞": [ - "ㄩ2" - ], - "㺟": [ - "ㄓㄨㄛ2" - ], - "㺠": [ - "ㄧㄡ4" - ], - "㺡": [ - "ㄌㄧ4" - ], - "㺢": [ - "ㄏㄨㄛ4", - "ㄏㄨㄛ1" - ], - "㺣": [ - "ㄒㄧ1" - ], - "㺤": [ - "ㄒㄧㄢ1" - ], - "㺥": [ - "ㄔㄢ2" - ], - "㺦": [ - "ㄌㄧㄢ2" - ], - "㺨": [ - "ㄙ1" - ], - "㺩": [ - "ㄐㄧㄡ4", - "ㄑㄧㄡ2" - ], - "㺪": [ - "ㄆㄨ2" - ], - "㺫": [ - "ㄑㄧㄡ2" - ], - "㺬": [ - "ㄍㄨㄥ3" - ], - "㺭": [ - "ㄗ3" - ], - "㺮": [ - "ㄩ2" - ], - "㺱": [ - "ㄖㄥ2" - ], - "㺲": [ - "ㄋㄧㄡ3" - ], - "㺳": [ - "ㄇㄟ2" - ], - "㺴": [ - "ㄅㄚ1" - ], - "㺵": [ - "ㄐㄧㄡ2" - ], - "㺷": [ - "ㄒㄩ4" - ], - "㺸": [ - "ㄆㄧㄥ2" - ], - "㺹": [ - "ㄅㄧㄢ4" - ], - "㺺": [ - "ㄇㄠ4" - ], - "㺿": [ - "ㄧ2" - ], - "㻀": [ - "ㄩ2" - ], - "㻂": [ - "ㄆㄧㄥ2" - ], - "㻃": [ - "ㄑㄩ1" - ], - "㻄": [ - "ㄅㄠ3" - ], - "㻅": [ - "ㄏㄨㄟ4" - ], - "㻉": [ - "ㄅㄨ4" - ], - "㻊": [ - "ㄇㄤ2" - ], - "㻋": [ - "ㄌㄚ4" - ], - "㻌": [ - "ㄊㄨ2" - ], - "㻍": [ - "ㄨ2" - ], - "㻎": [ - "ㄌㄧ4" - ], - "㻏": [ - "ㄌㄧㄥ2" - ], - "㻑": [ - "ㄐㄧ4" - ], - "㻒": [ - "ㄐㄩㄣ4" - ], - "㻓": [ - "ㄗㄡ1" - ], - "㻔": [ - "ㄉㄨㄛ3" - ], - "㻕": [ - "ㄐㄩㄝ2" - ], - "㻖": [ - "ㄉㄞ4" - ], - "㻗": [ - "ㄅㄟ4" - ], - "㻝": [ - "ㄌㄚ4" - ], - "㻞": [ - "ㄅㄧㄣ1", - "ㄅㄢ1" - ], - "㻟": [ - "ㄙㄨㄟ2" - ], - "㻠": [ - "ㄊㄨ2" - ], - "㻡": [ - "ㄒㄩㄝ1", - "ㄉㄧㄝ2" - ], - "㻧": [ - "ㄉㄨㄛ4" - ], - "㻪": [ - "ㄙㄨㄟ4" - ], - "㻫": [ - "ㄅㄧ4" - ], - "㻬": [ - "ㄊㄨ1" - ], - "㻭": [ - "ㄙㄜ4" - ], - "㻮": [ - "ㄘㄢ4" - ], - "㻯": [ - "ㄊㄨ2" - ], - "㻰": [ - "ㄇㄧㄢ3" - ], - "㻱": [ - "ㄐㄧㄣ1" - ], - "㻲": [ - "ㄌㄩ3" - ], - "㻵": [ - "ㄓㄢ4" - ], - "㻶": [ - "ㄅㄧ3" - ], - "㻷": [ - "ㄐㄧ2" - ], - "㻸": [ - "ㄗㄣ1" - ], - "㻹": [ - "ㄒㄩㄢ1" - ], - "㻺": [ - "ㄌㄧ4" - ], - "㻽": [ - "ㄙㄨㄟ4", - "ㄒㄩㄢ2" - ], - "㻾": [ - "ㄩㄥ1" - ], - "㻿": [ - "ㄕㄨ3" - ], - "㼂": [ - "ㄜ2" - ], - "㼇": [ - "ㄑㄩㄥ2" - ], - "㼈": [ - "ㄌㄨㄛ2" - ], - "㼉": [ - "ㄓㄣ4" - ], - "㼊": [ - "ㄊㄨㄣ2" - ], - "㼋": [ - "ㄍㄨ1", - "ㄖㄨ3" - ], - "㼌": [ - "ㄩ3" - ], - "㼍": [ - "ㄌㄟ3" - ], - "㼎": [ - "ㄅㄛ2" - ], - "㼏": [ - "ㄋㄟ3" - ], - "㼐": [ - "ㄆㄧㄢ2" - ], - "㼑": [ - "ㄌㄧㄢ4" - ], - "㼒": [ - "ㄊㄤ3" - ], - "㼓": [ - "ㄌㄧㄢ2" - ], - "㼔": [ - "ㄨㄣ1" - ], - "㼕": [ - "ㄉㄤ1" - ], - "㼖": [ - "ㄌㄧ4" - ], - "㼗": [ - "ㄊㄧㄥ2" - ], - "㼘": [ - "ㄨㄚ3" - ], - "㼙": [ - "ㄓㄡ4" - ], - "㼚": [ - "ㄍㄤ1" - ], - "㼛": [ - "ㄒㄧㄥ2" - ], - "㼜": [ - "ㄤ4" - ], - "㼝": [ - "ㄈㄢ4" - ], - "㼞": [ - "ㄆㄥ4", - "ㄅㄥ4" - ], - "㼟": [ - "ㄅㄛ2" - ], - "㼠": [ - "ㄊㄨㄛ2" - ], - "㼡": [ - "ㄕㄨ1" - ], - "㼢": [ - "ㄧ2" - ], - "㼣": [ - "ㄅㄛ2" - ], - "㼤": [ - "ㄑㄧㄝ4" - ], - "㼥": [ - "ㄊㄡ3", - "ㄎㄠ3" - ], - "㼦": [ - "ㄍㄨㄥ3" - ], - "㼧": [ - "ㄊㄨㄥ2" - ], - "㼨": [ - "ㄏㄢ2" - ], - "㼩": [ - "ㄔㄥ2", - "ㄕㄥ4" - ], - "㼪": [ - "ㄐㄧㄝ2" - ], - "㼫": [ - "ㄏㄨㄢ4", - "ㄏㄨㄚ4" - ], - "㼬": [ - "ㄒㄧㄥ4" - ], - "㼭": [ - "ㄉㄧㄢ4" - ], - "㼮": [ - "ㄔㄞ1", - "ㄑㄧ4" - ], - "㼯": [ - "ㄉㄨㄥ4" - ], - "㼰": [ - "ㄆㄧ2" - ], - "㼱": [ - "ㄖㄨㄢ3", - "ㄐㄩㄣ4" - ], - "㼲": [ - "ㄌㄧㄝ4" - ], - "㼳": [ - "ㄕㄥ3" - ], - "㼴": [ - "ㄡ3" - ], - "㼵": [ - "ㄉㄧ4" - ], - "㼶": [ - "ㄩ2" - ], - "㼷": [ - "ㄔㄨㄢ2", - "ㄓㄨㄢ1" - ], - "㼸": [ - "ㄖㄨㄥ2" - ], - "㼹": [ - "ㄎㄤ1", - "ㄏㄨㄤ1" - ], - "㼺": [ - "ㄊㄤ2" - ], - "㼻": [ - "ㄘㄨㄥ2" - ], - "㼼": [ - "ㄆㄧㄠ2" - ], - "㼽": [ - "ㄔㄨㄤ3", - "ㄕㄨㄤ3" - ], - "㼾": [ - "ㄌㄨ4" - ], - "㼿": [ - "ㄊㄨㄥ2", - "ㄓㄨㄥ4" - ], - "㽀": [ - "ㄓㄥ4" - ], - "㽁": [ - "ㄌㄧ4" - ], - "㽂": [ - "ㄙㄚ4" - ], - "㽃": [ - "ㄆㄢ1" - ], - "㽄": [ - "ㄙ1" - ], - "㽆": [ - "ㄉㄤ1" - ], - "㽇": [ - "ㄏㄨ2" - ], - "㽈": [ - "ㄧ4" - ], - "㽉": [ - "ㄒㄧㄢ4" - ], - "㽊": [ - "ㄒㄧㄝ4" - ], - "㽋": [ - "ㄌㄨㄛ2" - ], - "㽌": [ - "ㄌㄧㄡ4" - ], - "㽎": [ - "ㄊㄢ2", - "ㄒㄧㄣ1" - ], - "㽏": [ - "ㄍㄢ4" - ], - "㽑": [ - "ㄊㄢ2" - ], - "㽕": [ - "ㄧㄡ2" - ], - "㽖": [ - "ㄋㄢ2" - ], - "㽘": [ - "ㄍㄤ3" - ], - "㽙": [ - "ㄐㄩㄣ4" - ], - "㽚": [ - "ㄔ4" - ], - "㽛": [ - "ㄍㄡ1", - "ㄑㄩ2" - ], - "㽜": [ - "ㄨㄢ3" - ], - "㽝": [ - "ㄌㄧ4" - ], - "㽞": [ - "ㄌㄧㄡ2" - ], - "㽟": [ - "ㄌㄧㄝ4" - ], - "㽠": [ - "ㄒㄧㄚ2" - ], - "㽡": [ - "ㄅㄟ1" - ], - "㽢": [ - "ㄢ3" - ], - "㽣": [ - "ㄩ4" - ], - "㽤": [ - "ㄐㄩ2" - ], - "㽥": [ - "ㄖㄡ2" - ], - "㽦": [ - "ㄒㄩㄣ2" - ], - "㽧": [ - "ㄗ1" - ], - "㽨": [ - "ㄘㄨㄛ2" - ], - "㽩": [ - "ㄘㄢ4" - ], - "㽪": [ - "ㄗㄥ3" - ], - "㽫": [ - "ㄩㄥ1" - ], - "㽬": [ - "ㄈㄨ4", - "ㄆㄧ4" - ], - "㽭": [ - "ㄖㄨㄢ3" - ], - "㽯": [ - "ㄒㄧ2" - ], - "㽰": [ - "ㄕㄨ4" - ], - "㽱": [ - "ㄐㄧㄠ3", - "ㄐㄧㄡ1", - "ㄋㄧㄡ2" - ], - "㽲": [ - "ㄐㄧㄠ3", - "ㄒㄧㄡ3" - ], - "㽳": [ - "ㄒㄩ1" - ], - "㽴": [ - "ㄓㄤ4" - ], - "㽷": [ - "ㄕㄨㄟ4" - ], - "㽸": [ - "ㄔㄣ2" - ], - "㽹": [ - "ㄈㄢ3", - "ㄈㄢ4" - ], - "㽺": [ - "ㄐㄧ2" - ], - "㽻": [ - "ㄓ1" - ], - "㽽": [ - "ㄍㄨ4" - ], - "㽾": [ - "ㄨ4" - ], - "㾀": [ - "ㄑㄧㄝ4", - "ㄑㄩ3" - ], - "㾁": [ - "ㄕㄨ4" - ], - "㾂": [ - "ㄏㄞ1" - ], - "㾃": [ - "ㄊㄨㄛ2" - ], - "㾄": [ - "ㄉㄨ2", - "ㄔㄡ2" - ], - "㾅": [ - "ㄗ3" - ], - "㾆": [ - "ㄖㄢ2" - ], - "㾇": [ - "ㄇㄨ4" - ], - "㾈": [ - "ㄈㄨ4" - ], - "㾉": [ - "ㄌㄧㄥ2" - ], - "㾊": [ - "ㄐㄧ2", - "ㄘ4", - "ㄙㄜ4" - ], - "㾋": [ - "ㄒㄧㄡ1", - "ㄒㄧㄡ4" - ], - "㾌": [ - "ㄒㄩㄢ3" - ], - "㾍": [ - "ㄋㄞ2" - ], - "㾎": [ - "ㄧㄚ1", - "ㄒㄧㄚ1" - ], - "㾏": [ - "ㄐㄧㄝ4", - "ㄧㄚ2" - ], - "㾐": [ - "ㄌㄧ4" - ], - "㾑": [ - "ㄉㄚ2", - "ㄏㄜ4", - "ㄉㄚ5" - ], - "㾒": [ - "ㄖㄨ2", - "ㄖㄨ4" - ], - "㾓": [ - "ㄩㄢ1" - ], - "㾔": [ - "ㄌㄩ3" - ], - "㾕": [ - "ㄕㄣ3" - ], - "㾖": [ - "ㄌㄧ3" - ], - "㾗": [ - "ㄌㄧㄤ4" - ], - "㾘": [ - "ㄍㄥ3" - ], - "㾙": [ - "ㄒㄧㄣ4", - "ㄒㄧ4" - ], - "㾚": [ - "ㄒㄧㄝ1" - ], - "㾛": [ - "ㄑㄧㄣ3" - ], - "㾜": [ - "ㄑㄧㄝ4" - ], - "㾝": [ - "ㄔㄜ4" - ], - "㾞": [ - "ㄧㄡ2" - ], - "㾟": [ - "ㄅㄨ4" - ], - "㾠": [ - "ㄎㄨㄤ2" - ], - "㾡": [ - "ㄑㄩㄝ4" - ], - "㾢": [ - "ㄞ4" - ], - "㾣": [ - "ㄑㄧㄣ1" - ], - "㾤": [ - "ㄑㄧㄤ1" - ], - "㾥": [ - "ㄔㄨ4" - ], - "㾦": [ - "ㄆㄟ4", - "ㄆㄟ1" - ], - "㾧": [ - "ㄎㄨㄛ4", - "ㄌㄨㄛ3" - ], - "㾨": [ - "ㄧ1", - "ㄑㄧ3", - "ㄞ3" - ], - "㾩": [ - "ㄍㄨㄞ1" - ], - "㾪": [ - "ㄕㄥ3" - ], - "㾫": [ - "ㄆㄧㄢ1" - ], - "㾭": [ - "ㄓㄡ4" - ], - "㾮": [ - "ㄏㄨㄤ2" - ], - "㾯": [ - "ㄏㄨㄟ1", - "ㄊㄨㄟ2" - ], - "㾰": [ - "ㄏㄨ2" - ], - "㾱": [ - "ㄅㄟ4" - ], - "㾴": [ - "ㄓㄚ1" - ], - "㾵": [ - "ㄐㄧ4" - ], - "㾶": [ - "ㄍㄨ3" - ], - "㾷": [ - "ㄒㄧ1" - ], - "㾸": [ - "ㄍㄠ3" - ], - "㾹": [ - "ㄔㄞ2", - "ㄓㄞ4", - "ㄔ2" - ], - "㾺": [ - "ㄇㄚ4" - ], - "㾻": [ - "ㄓㄨ4", - "ㄔㄨ2" - ], - "㾼": [ - "ㄊㄨㄟ3" - ], - "㾽": [ - "ㄓㄨㄟ4", - "ㄊㄨㄟ2" - ], - "㾾": [ - "ㄒㄧㄢ1", - "ㄌㄧㄢ2" - ], - "㾿": [ - "ㄌㄤ2" - ], - "㿃": [ - "ㄓ4", - "ㄉㄞ4" - ], - "㿄": [ - "ㄞ4" - ], - "㿅": [ - "ㄒㄧㄢ3" - ], - "㿆": [ - "ㄍㄨㄛ1" - ], - "㿇": [ - "ㄒㄧ2", - "ㄒㄧ4" - ], - "㿉": [ - "ㄊㄨㄟ3" - ], - "㿊": [ - "ㄘㄢ3" - ], - "㿋": [ - "ㄙㄠ4" - ], - "㿌": [ - "ㄒㄧㄢ1" - ], - "㿍": [ - "ㄐㄧㄝ4" - ], - "㿎": [ - "ㄈㄣ4", - "ㄈㄣ2" - ], - "㿏": [ - "ㄑㄩㄣ2" - ], - "㿑": [ - "ㄧㄠ4" - ], - "㿒": [ - "ㄉㄠ3", - "ㄓㄡ4", - "ㄔㄡ2" - ], - "㿓": [ - "ㄐㄧㄚ2" - ], - "㿔": [ - "ㄌㄟ3" - ], - "㿕": [ - "ㄧㄢ2" - ], - "㿖": [ - "ㄌㄨ2", - "ㄌㄨ4" - ], - "㿗": [ - "ㄊㄨㄟ2" - ], - "㿘": [ - "ㄧㄥ2" - ], - "㿙": [ - "ㄆㄧ4" - ], - "㿚": [ - "ㄌㄨㄛ4" - ], - "㿛": [ - "ㄌㄧ4" - ], - "㿜": [ - "ㄅㄧㄝ3" - ], - "㿞": [ - "ㄇㄠ4" - ], - "㿟": [ - "ㄅㄞ2" - ], - "㿠": [ - "ㄏㄨㄤ4" - ], - "㿢": [ - "ㄧㄠ4" - ], - "㿣": [ - "ㄏㄜ1" - ], - "㿤": [ - "ㄔㄨㄣ3" - ], - "㿥": [ - "ㄏㄜ2" - ], - "㿦": [ - "ㄋㄧㄥ4" - ], - "㿧": [ - "ㄔㄡ2" - ], - "㿨": [ - "ㄌㄧ4" - ], - "㿩": [ - "ㄊㄤ3" - ], - "㿪": [ - "ㄏㄨㄢ2" - ], - "㿫": [ - "ㄅㄧ4" - ], - "㿬": [ - "ㄅㄚ1" - ], - "㿭": [ - "ㄔㄜ4", - "ㄌㄜ4" - ], - "㿮": [ - "ㄧㄤ4" - ], - "㿯": [ - "ㄉㄚ2" - ], - "㿰": [ - "ㄠ2", - "ㄅㄧ4" - ], - "㿱": [ - "ㄒㄩㄝ2" - ], - "㿳": [ - "ㄗ1" - ], - "㿴": [ - "ㄉㄚ1" - ], - "㿵": [ - "ㄖㄢ3" - ], - "㿶": [ - "ㄅㄤ1" - ], - "㿷": [ - "ㄘㄨㄛ2", - "ㄘㄠ1" - ], - "㿸": [ - "ㄨㄢ3", - "ㄇㄢ2" - ], - "㿹": [ - "ㄊㄚ4" - ], - "㿺": [ - "ㄅㄠ2" - ], - "㿻": [ - "ㄍㄢ1" - ], - "㿼": [ - "ㄧㄢ2" - ], - "㿽": [ - "ㄒㄧ1" - ], - "㿾": [ - "ㄓㄨ4" - ], - "㿿": [ - "ㄧㄚ3" - ], - "䀀": [ - "ㄈㄢ4" - ], - "䀁": [ - "ㄧㄡ4" - ], - "䀂": [ - "ㄢ1" - ], - "䀃": [ - "ㄊㄨㄟ2" - ], - "䀄": [ - "ㄇㄥ2" - ], - "䀅": [ - "ㄕㄜ4" - ], - "䀆": [ - "ㄐㄧㄣ4" - ], - "䀇": [ - "ㄍㄨ3" - ], - "䀈": [ - "ㄐㄧ4" - ], - "䀉": [ - "ㄑㄧㄠ2" - ], - "䀊": [ - "ㄐㄧㄠ3" - ], - "䀋": [ - "ㄧㄢ2" - ], - "䀌": [ - "ㄒㄧ4" - ], - "䀍": [ - "ㄎㄢ4" - ], - "䀎": [ - "ㄇㄧㄢ3" - ], - "䀏": [ - "ㄒㄩㄢ4", - "ㄒㄩㄣ2" - ], - "䀐": [ - "ㄕㄢ1" - ], - "䀑": [ - "ㄨㄛ4" - ], - "䀒": [ - "ㄑㄧㄢ1" - ], - "䀓": [ - "ㄏㄨㄢ4" - ], - "䀔": [ - "ㄖㄣ4" - ], - "䀕": [ - "ㄓㄣ4" - ], - "䀖": [ - "ㄊㄧㄢ1" - ], - "䀗": [ - "ㄐㄩㄝ2", - "ㄒㄩㄝ4" - ], - "䀘": [ - "ㄒㄧㄝ2", - "ㄐㄧ1" - ], - "䀙": [ - "ㄑㄧ4" - ], - "䀚": [ - "ㄤ2" - ], - "䀛": [ - "ㄇㄟ4", - "ㄨ4", - "ㄇㄚ4" - ], - "䀜": [ - "ㄍㄨ3" - ], - "䀞": [ - "ㄊㄠ1" - ], - "䀟": [ - "ㄈㄢ2" - ], - "䀠": [ - "ㄐㄩ4" - ], - "䀡": [ - "ㄔㄢ4", - "ㄉㄧㄢ1", - "ㄊㄢ4" - ], - "䀢": [ - "ㄕㄨㄣ4" - ], - "䀣": [ - "ㄅㄧ4", - "ㄇㄚ4" - ], - "䀤": [ - "ㄇㄠ4" - ], - "䀥": [ - "ㄕㄨㄛ4" - ], - "䀦": [ - "ㄍㄨ3" - ], - "䀧": [ - "ㄏㄨㄥ3" - ], - "䀨": [ - "ㄏㄨㄚ4", - "ㄍㄨㄚ1" - ], - "䀩": [ - "ㄌㄨㄛ4" - ], - "䀪": [ - "ㄏㄤ2" - ], - "䀫": [ - "ㄐㄧㄚ2", - "ㄊㄨㄣ3" - ], - "䀬": [ - "ㄑㄩㄢ2" - ], - "䀭": [ - "ㄍㄞ1" - ], - "䀮": [ - "ㄏㄨㄤ1" - ], - "䀯": [ - "ㄅㄨ3" - ], - "䀰": [ - "ㄍㄨ3" - ], - "䀱": [ - "ㄈㄥ1" - ], - "䀲": [ - "ㄇㄨ4" - ], - "䀳": [ - "ㄞ4" - ], - "䀴": [ - "ㄧㄥ3", - "ㄧㄚ4", - "ㄎㄥ1" - ], - "䀵": [ - "ㄕㄨㄣ4" - ], - "䀶": [ - "ㄌㄧㄤ4", - "ㄌㄤ3" - ], - "䀷": [ - "ㄐㄧㄝ2" - ], - "䀸": [ - "ㄔ4" - ], - "䀹": [ - "ㄐㄧㄝ2", - "ㄓㄚ3", - "ㄕㄜ4", - "ㄐㄧㄚ2", - "ㄧㄚ4" - ], - "䀺": [ - "ㄔㄡ1", - "ㄊㄠ1" - ], - "䀻": [ - "ㄆㄧㄥ4" - ], - "䀼": [ - "ㄔㄣ1", - "ㄖㄣ4" - ], - "䀽": [ - "ㄧㄢ2" - ], - "䀾": [ - "ㄉㄨ3" - ], - "䀿": [ - "ㄉㄧ4" - ], - "䁁": [ - "ㄌㄧㄤ4" - ], - "䁂": [ - "ㄒㄧㄢ4" - ], - "䁃": [ - "ㄅㄧㄠ1" - ], - "䁄": [ - "ㄒㄧㄥ4" - ], - "䁅": [ - "ㄇㄥ3", - "ㄇㄥ4" - ], - "䁆": [ - "ㄧㄝ4" - ], - "䁇": [ - "ㄇㄧ4" - ], - "䁈": [ - "ㄑㄧ4" - ], - "䁉": [ - "ㄑㄧ4" - ], - "䁊": [ - "ㄨㄛ4" - ], - "䁋": [ - "ㄒㄧㄝ4", - "ㄓㄜ2" - ], - "䁌": [ - "ㄩ4" - ], - "䁍": [ - "ㄑㄧㄚ4", - "ㄎㄢ1" - ], - "䁎": [ - "ㄔㄥ2", - "ㄊㄧㄥ2", - "ㄔㄥ1" - ], - "䁏": [ - "ㄧㄠ3" - ], - "䁐": [ - "ㄧㄥ1", - "ㄧㄥ4" - ], - "䁑": [ - "ㄧㄤ2" - ], - "䁒": [ - "ㄐㄧ2", - "ㄗ2" - ], - "䁓": [ - "ㄗㄨㄥ1", - "ㄗㄨㄥ3", - "ㄐㄧㄝ4" - ], - "䁔": [ - "ㄒㄩㄢ1", - "ㄏㄢ4" - ], - "䁕": [ - "ㄇㄧㄣ2" - ], - "䁖": [ - "ㄌㄡ1" - ], - "䁗": [ - "ㄎㄞ3" - ], - "䁘": [ - "ㄧㄠ3" - ], - "䁙": [ - "ㄧㄢ3" - ], - "䁚": [ - "ㄙㄨㄣ3", - "ㄑㄩㄥ2" - ], - "䁛": [ - "ㄍㄨㄟ4" - ], - "䁜": [ - "ㄏㄨㄤ4", - "ㄏㄨㄤ3" - ], - "䁝": [ - "ㄧㄥ2", - "ㄧㄥ3" - ], - "䁞": [ - "ㄕㄥ3" - ], - "䁟": [ - "ㄔㄚ2" - ], - "䁠": [ - "ㄌㄧㄢ2" - ], - "䁢": [ - "ㄒㄩㄢ2" - ], - "䁣": [ - "ㄔㄨㄢ2" - ], - "䁤": [ - "ㄔㄜ4", - "ㄓㄜ2", - "ㄏㄨㄟ3" - ], - "䁥": [ - "ㄋㄧ4" - ], - "䁦": [ - "ㄑㄩ4" - ], - "䁧": [ - "ㄇㄧㄠ2" - ], - "䁨": [ - "ㄏㄨㄛ4" - ], - "䁩": [ - "ㄩ2" - ], - "䁪": [ - "ㄓㄢ3" - ], - "䁫": [ - "ㄏㄨ2", - "ㄇㄥ2" - ], - "䁬": [ - "ㄘㄥ2" - ], - "䁭": [ - "ㄅㄧㄠ1" - ], - "䁮": [ - "ㄑㄧㄢ2" - ], - "䁯": [ - "ㄒㄧ1", - "ㄒㄧㄝ2" - ], - "䁰": [ - "ㄐㄧㄤ3" - ], - "䁱": [ - "ㄎㄡ1" - ], - "䁲": [ - "ㄇㄞ2" - ], - "䁳": [ - "ㄇㄤ3" - ], - "䁴": [ - "ㄓㄢ3", - "ㄕㄢ3" - ], - "䁵": [ - "ㄅㄧㄢ3", - "ㄏㄨㄢ2" - ], - "䁶": [ - "ㄐㄧ1", - "ㄐㄧㄠ3" - ], - "䁷": [ - "ㄐㄩㄝ2", - "ㄨ4" - ], - "䁸": [ - "ㄋㄤ2", - "ㄋㄨㄥ3" - ], - "䁹": [ - "ㄅㄧ4" - ], - "䁺": [ - "ㄕ4", - "ㄧ4" - ], - "䁻": [ - "ㄕㄨㄛ4", - "ㄌㄧ4" - ], - "䁼": [ - "ㄇㄛ4" - ], - "䁽": [ - "ㄌㄧㄝ4" - ], - "䁾": [ - "ㄇㄧㄝ4" - ], - "䁿": [ - "ㄇㄛ4" - ], - "䂀": [ - "ㄒㄧ1" - ], - "䂁": [ - "ㄔㄢ2" - ], - "䂂": [ - "ㄑㄩ2" - ], - "䂃": [ - "ㄐㄧㄠ4" - ], - "䂄": [ - "ㄏㄨㄛ4" - ], - "䂅": [ - "ㄒㄧㄢ1" - ], - "䂆": [ - "ㄒㄩ4" - ], - "䂇": [ - "ㄋㄧㄡ3" - ], - "䂈": [ - "ㄊㄨㄥ2" - ], - "䂉": [ - "ㄏㄡ2" - ], - "䂊": [ - "ㄩ4" - ], - "䂌": [ - "ㄔㄨㄥ1" - ], - "䂍": [ - "ㄅㄛ2" - ], - "䂎": [ - "ㄗㄨㄢ3", - "ㄘㄨㄢ1" - ], - "䂏": [ - "ㄉㄧㄠ1" - ], - "䂐": [ - "ㄓㄨㄛ1" - ], - "䂑": [ - "ㄐㄧ1" - ], - "䂒": [ - "ㄑㄧㄚ4" - ], - "䂔": [ - "ㄒㄧㄥ4" - ], - "䂕": [ - "ㄏㄨㄟ4" - ], - "䂖": [ - "ㄕ2" - ], - "䂗": [ - "ㄎㄨ1" - ], - "䂙": [ - "ㄉㄨㄟ1" - ], - "䂚": [ - "ㄧㄠ2" - ], - "䂛": [ - "ㄩ2" - ], - "䂜": [ - "ㄅㄤ4" - ], - "䂝": [ - "ㄐㄧㄝ2" - ], - "䂞": [ - "ㄓㄜ4" - ], - "䂟": [ - "ㄐㄧㄚ1" - ], - "䂠": [ - "ㄕ3" - ], - "䂡": [ - "ㄉㄧ3" - ], - "䂢": [ - "ㄉㄨㄥ3" - ], - "䂣": [ - "ㄘ2" - ], - "䂤": [ - "ㄈㄨ4" - ], - "䂥": [ - "ㄇㄧㄣ2" - ], - "䂦": [ - "ㄓㄣ1", - "ㄓㄣ3" - ], - "䂧": [ - "ㄓㄣ3" - ], - "䂩": [ - "ㄧㄢ4", - "ㄑㄧㄥ4" - ], - "䂪": [ - "ㄑㄧㄠ3", - "ㄉㄧㄠ4" - ], - "䂫": [ - "ㄏㄤ1", - "ㄏㄨㄥ2" - ], - "䂬": [ - "ㄍㄨㄥ3" - ], - "䂭": [ - "ㄑㄧㄠ1" - ], - "䂮": [ - "ㄌㄩㄝ4" - ], - "䂯": [ - "ㄍㄨㄞ4" - ], - "䂰": [ - "ㄌㄚ4" - ], - "䂱": [ - "ㄖㄨㄟ4" - ], - "䂲": [ - "ㄈㄚ3" - ], - "䂳": [ - "ㄘㄨㄛ3", - "ㄔㄚ3" - ], - "䂴": [ - "ㄧㄢ2" - ], - "䂵": [ - "ㄍㄨㄥ1" - ], - "䂶": [ - "ㄐㄧㄝ2" - ], - "䂷": [ - "ㄍㄨㄞ1" - ], - "䂸": [ - "ㄍㄨㄛ2" - ], - "䂹": [ - "ㄙㄨㄛ3" - ], - "䂺": [ - "ㄨㄛ3", - "ㄎㄜ1" - ], - "䂻": [ - "ㄓㄥ4" - ], - "䂼": [ - "ㄋㄧㄝ4" - ], - "䂽": [ - "ㄉㄧㄠ4" - ], - "䂾": [ - "ㄌㄞ3" - ], - "䂿": [ - "ㄊㄚ4" - ], - "䃀": [ - "ㄘㄨㄟ4" - ], - "䃁": [ - "ㄧㄚ1" - ], - "䃂": [ - "ㄍㄨㄣ3" - ], - "䃅": [ - "ㄉㄧ1" - ], - "䃇": [ - "ㄇㄧㄢ2" - ], - "䃈": [ - "ㄐㄧㄝ1" - ], - "䃉": [ - "ㄇㄧㄣ2" - ], - "䃊": [ - "ㄐㄩ3" - ], - "䃋": [ - "ㄩ2" - ], - "䃌": [ - "ㄓㄣ1", - "ㄧㄣ1" - ], - "䃍": [ - "ㄓㄠ4" - ], - "䃎": [ - "ㄓㄚ4", - "ㄓㄚ3" - ], - "䃏": [ - "ㄒㄧㄥ1" - ], - "䃑": [ - "ㄅㄢ1", - "ㄆㄢ2" - ], - "䃒": [ - "ㄏㄜ2" - ], - "䃓": [ - "ㄍㄡ4", - "ㄍㄡ1" - ], - "䃔": [ - "ㄏㄨㄥ2", - "ㄑㄩㄥ2" - ], - "䃕": [ - "ㄌㄠ2", - "ㄌㄨㄛ4" - ], - "䃖": [ - "ㄨ4" - ], - "䃗": [ - "ㄅㄛ1", - "ㄓㄨㄛ2" - ], - "䃘": [ - "ㄎㄥ1" - ], - "䃙": [ - "ㄌㄨ4" - ], - "䃚": [ - "ㄘㄨ4", - "ㄗㄨ2" - ], - "䃛": [ - "ㄌㄧㄢ2" - ], - "䃜": [ - "ㄧ1" - ], - "䃝": [ - "ㄑㄧㄠ4" - ], - "䃞": [ - "ㄕㄨ2" - ], - "䃠": [ - "ㄒㄩㄢ4" - ], - "䃡": [ - "ㄐㄧㄣ1", - "ㄑㄧㄣ2" - ], - "䃢": [ - "ㄑㄧㄣ1" - ], - "䃣": [ - "ㄏㄨㄟ3" - ], - "䃤": [ - "ㄙㄨ4" - ], - "䃥": [ - "ㄔㄨㄤ2" - ], - "䃦": [ - "ㄉㄨㄣ1" - ], - "䃧": [ - "ㄌㄨㄥ2" - ], - "䃩": [ - "ㄋㄠ2" - ], - "䃪": [ - "ㄊㄢ2" - ], - "䃫": [ - "ㄉㄢ3" - ], - "䃬": [ - "ㄨㄟ3", - "ㄎㄨㄟ3", - "ㄌㄟ3" - ], - "䃭": [ - "ㄍㄢ3" - ], - "䃮": [ - "ㄉㄚ2" - ], - "䃯": [ - "ㄌㄧ4" - ], - "䃰": [ - "ㄘㄚ1" - ], - "䃱": [ - "ㄒㄧㄢ4" - ], - "䃲": [ - "ㄆㄢ2" - ], - "䃳": [ - "ㄌㄚ4", - "ㄌㄧㄝ4" - ], - "䃴": [ - "ㄓㄨ1" - ], - "䃵": [ - "ㄋㄧㄠ3" - ], - "䃶": [ - "ㄏㄨㄞ2", - "ㄍㄨㄟ1", - "ㄍㄨㄞ4" - ], - "䃷": [ - "ㄧㄥ2" - ], - "䃸": [ - "ㄒㄧㄢ4", - "ㄐㄧㄣ1" - ], - "䃹": [ - "ㄌㄢ4" - ], - "䃺": [ - "ㄇㄛ2" - ], - "䃻": [ - "ㄅㄚ4" - ], - "䃽": [ - "ㄍㄨㄟ3", - "ㄓ1", - "ㄈㄨ2" - ], - "䃾": [ - "ㄅㄧ3" - ], - "䃿": [ - "ㄈㄨ1" - ], - "䄀": [ - "ㄏㄨㄛ4" - ], - "䄁": [ - "ㄧ4" - ], - "䄂": [ - "ㄌㄧㄡ4" - ], - "䄃": [ - "ㄧㄤ1" - ], - "䄄": [ - "ㄧㄣ1" - ], - "䄅": [ - "ㄐㄩㄢ4" - ], - "䄆": [ - "ㄏㄨㄛ2", - "ㄏㄨㄢ4" - ], - "䄇": [ - "ㄔㄥ2" - ], - "䄈": [ - "ㄉㄡ4", - "ㄒㄧㄤ2" - ], - "䄉": [ - "ㄜ2" - ], - "䄋": [ - "ㄧㄢ3", - "ㄧㄢ4" - ], - "䄌": [ - "ㄓㄨㄟ4", - "ㄔㄨㄛ4" - ], - "䄍": [ - "ㄓㄚ4" - ], - "䄎": [ - "ㄑㄧ3" - ], - "䄏": [ - "ㄩ2" - ], - "䄐": [ - "ㄑㄩㄢ4" - ], - "䄑": [ - "ㄏㄨㄛ2" - ], - "䄒": [ - "ㄋㄧㄝ4" - ], - "䄓": [ - "ㄏㄨㄤ2" - ], - "䄔": [ - "ㄐㄩ3" - ], - "䄕": [ - "ㄕㄜ4" - ], - "䄘": [ - "ㄆㄥ2" - ], - "䄙": [ - "ㄇㄧㄥ2" - ], - "䄚": [ - "ㄘㄠ2" - ], - "䄛": [ - "ㄌㄡ2" - ], - "䄜": [ - "ㄌㄧ2", - "ㄔ1" - ], - "䄝": [ - "ㄔㄨㄤ1" - ], - "䄟": [ - "ㄘㄨㄟ1" - ], - "䄠": [ - "ㄕㄢ4" - ], - "䄡": [ - "ㄉㄢ1" - ], - "䄢": [ - "ㄑㄧ2" - ], - "䄤": [ - "ㄌㄞ4", - "ㄌㄢ3" - ], - "䄥": [ - "ㄌㄧㄥ2" - ], - "䄦": [ - "ㄌㄧㄠ3" - ], - "䄧": [ - "ㄖㄥ2" - ], - "䄨": [ - "ㄩ2" - ], - "䄩": [ - "ㄧ4" - ], - "䄪": [ - "ㄉㄧㄠ3" - ], - "䄫": [ - "ㄑㄧ3" - ], - "䄬": [ - "ㄧ2" - ], - "䄭": [ - "ㄋㄧㄢ2" - ], - "䄮": [ - "ㄈㄨ1" - ], - "䄯": [ - "ㄐㄧㄢ3" - ], - "䄰": [ - "ㄧㄚ2" - ], - "䄱": [ - "ㄈㄤ1" - ], - "䄲": [ - "ㄖㄨㄟ4" - ], - "䄳": [ - "ㄒㄧㄢ1" - ], - "䄶": [ - "ㄅㄧ4", - "ㄅㄛ2" - ], - "䄷": [ - "ㄕ2" - ], - "䄸": [ - "ㄆㄛ4" - ], - "䄹": [ - "ㄋㄧㄢ2" - ], - "䄺": [ - "ㄓ4", - "ㄊㄧ2" - ], - "䄻": [ - "ㄊㄠ2", - "ㄔㄠ2", - "ㄊㄧㄠ1" - ], - "䄼": [ - "ㄊㄧㄢ3" - ], - "䄽": [ - "ㄊㄧㄢ3" - ], - "䄾": [ - "ㄖㄨ4", - "ㄖㄨㄥ3" - ], - "䄿": [ - "ㄧ4" - ], - "䅀": [ - "ㄌㄧㄝ4" - ], - "䅁": [ - "ㄢ4" - ], - "䅂": [ - "ㄏㄜ2" - ], - "䅃": [ - "ㄑㄩㄥ2", - "ㄐㄩㄥ4" - ], - "䅄": [ - "ㄌㄧ4" - ], - "䅅": [ - "ㄍㄨㄟ1", - "ㄨㄚ1" - ], - "䅆": [ - "ㄗ4" - ], - "䅇": [ - "ㄙㄨ4" - ], - "䅈": [ - "ㄩㄢ4" - ], - "䅉": [ - "ㄧㄚ4" - ], - "䅊": [ - "ㄔㄚ2" - ], - "䅋": [ - "ㄨㄢ3" - ], - "䅌": [ - "ㄐㄩㄢ1" - ], - "䅍": [ - "ㄊㄧㄥ3" - ], - "䅎": [ - "ㄧㄡ3" - ], - "䅏": [ - "ㄏㄨㄟ4" - ], - "䅐": [ - "ㄐㄧㄢ3" - ], - "䅑": [ - "ㄖㄨㄟ2" - ], - "䅒": [ - "ㄇㄤ2" - ], - "䅓": [ - "ㄐㄩ3" - ], - "䅔": [ - "ㄗ1" - ], - "䅕": [ - "ㄐㄩ1" - ], - "䅖": [ - "ㄢ1", - "ㄢ3", - "ㄧㄢ1", - "ㄧㄢ3", - "ㄧㄝ4" - ], - "䅗": [ - "ㄙㄨㄟ4" - ], - "䅘": [ - "ㄌㄞ2" - ], - "䅙": [ - "ㄏㄨㄣ4" - ], - "䅚": [ - "ㄑㄩㄢ3" - ], - "䅛": [ - "ㄔㄤ1" - ], - "䅜": [ - "ㄉㄨㄛ4", - "ㄔㄨㄟ2", - "ㄊㄨㄛ3" - ], - "䅝": [ - "ㄎㄨㄥ1" - ], - "䅞": [ - "ㄋㄜ4" - ], - "䅟": [ - "ㄘㄢ3" - ], - "䅠": [ - "ㄊㄧ2" - ], - "䅡": [ - "ㄒㄩ3" - ], - "䅢": [ - "ㄐㄧㄡ4" - ], - "䅣": [ - "ㄏㄨㄤ2" - ], - "䅤": [ - "ㄑㄧ4" - ], - "䅥": [ - "ㄐㄧㄝ2", - "ㄍㄜ2" - ], - "䅦": [ - "ㄇㄠ2" - ], - "䅧": [ - "ㄧㄢ1", - "ㄧㄣ4" - ], - "䅩": [ - "ㄓ3", - "ㄑㄧ2" - ], - "䅪": [ - "ㄊㄨㄟ2" - ], - "䅬": [ - "ㄞ4" - ], - "䅭": [ - "ㄆㄤ2" - ], - "䅮": [ - "ㄘㄤ4" - ], - "䅯": [ - "ㄊㄤ2" - ], - "䅰": [ - "ㄣ3" - ], - "䅱": [ - "ㄏㄨㄣ4" - ], - "䅲": [ - "ㄑㄧ2" - ], - "䅳": [ - "ㄔㄨ2", - "ㄗㄡ1" - ], - "䅴": [ - "ㄙㄨㄛ3" - ], - "䅵": [ - "ㄓㄨㄛ2" - ], - "䅶": [ - "ㄋㄡ4" - ], - "䅷": [ - "ㄊㄨ2", - "ㄔㄨ2" - ], - "䅸": [ - "ㄕㄣ1", - "ㄗㄨ2" - ], - "䅹": [ - "ㄌㄡ3" - ], - "䅺": [ - "ㄅㄧㄠ1", - "ㄇㄧㄠ3" - ], - "䅻": [ - "ㄌㄧ2" - ], - "䅼": [ - "ㄇㄢ2", - "ㄇㄢ4" - ], - "䅽": [ - "ㄒㄧㄣ1", - "ㄍㄨ3" - ], - "䅾": [ - "ㄘㄣ2", - "ㄑㄧㄢ2" - ], - "䅿": [ - "ㄏㄨㄚ2", - "ㄏㄨㄤ2" - ], - "䆀": [ - "ㄇㄟ3" - ], - "䆁": [ - "ㄍㄠ1" - ], - "䆂": [ - "ㄌㄧㄢ2" - ], - "䆃": [ - "ㄉㄠ4" - ], - "䆄": [ - "ㄓㄢ3" - ], - "䆅": [ - "ㄗ1" - ], - "䆈": [ - "ㄓ4" - ], - "䆉": [ - "ㄅㄚ4" - ], - "䆊": [ - "ㄘㄨㄟ4", - "ㄇㄟ4" - ], - "䆋": [ - "ㄑㄧㄡ1" - ], - "䆍": [ - "ㄌㄨㄥ2" - ], - "䆎": [ - "ㄒㄧㄢ1" - ], - "䆏": [ - "ㄈㄟ4", - "ㄈㄣ4" - ], - "䆐": [ - "ㄍㄨㄛ2" - ], - "䆑": [ - "ㄔㄥ2" - ], - "䆒": [ - "ㄐㄧㄡ4" - ], - "䆓": [ - "ㄜ4", - "ㄖㄨㄢ3" - ], - "䆔": [ - "ㄔㄨㄥ1" - ], - "䆕": [ - "ㄩㄝ4" - ], - "䆖": [ - "ㄏㄨㄥ2" - ], - "䆗": [ - "ㄧㄠ3" - ], - "䆘": [ - "ㄧㄚ1", - "ㄗㄚ1" - ], - "䆙": [ - "ㄧㄠ2" - ], - "䆚": [ - "ㄊㄨㄥ2", - "ㄉㄨㄥ4" - ], - "䆛": [ - "ㄓㄚ4" - ], - "䆜": [ - "ㄧㄡ4" - ], - "䆝": [ - "ㄒㄩㄝ4", - "ㄓㄨ2" - ], - "䆞": [ - "ㄧㄠ3" - ], - "䆟": [ - "ㄎㄜ4", - "ㄠ1" - ], - "䆠": [ - "ㄏㄨㄢ4" - ], - "䆡": [ - "ㄌㄤ2" - ], - "䆢": [ - "ㄩㄝ4" - ], - "䆣": [ - "ㄔㄣ2" - ], - "䆦": [ - "ㄕㄣ4" - ], - "䆨": [ - "ㄋㄧㄥ2" - ], - "䆩": [ - "ㄇㄧㄥ2" - ], - "䆪": [ - "ㄏㄨㄥ1" - ], - "䆫": [ - "ㄔㄨㄤ1" - ], - "䆬": [ - "ㄩㄣ3" - ], - "䆭": [ - "ㄒㄩㄢ1" - ], - "䆮": [ - "ㄐㄧㄣ4" - ], - "䆯": [ - "ㄓㄨㄛ2" - ], - "䆰": [ - "ㄩ1" - ], - "䆱": [ - "ㄊㄢ1" - ], - "䆲": [ - "ㄎㄤ1" - ], - "䆳": [ - "ㄑㄩㄥ2" - ], - "䆵": [ - "ㄔㄥ2" - ], - "䆶": [ - "ㄐㄧㄡ1" - ], - "䆷": [ - "ㄒㄩㄝ4" - ], - "䆸": [ - "ㄓㄥ1" - ], - "䆹": [ - "ㄔㄨㄥ1", - "ㄊㄨㄥ3" - ], - "䆺": [ - "ㄆㄢ1" - ], - "䆻": [ - "ㄑㄧㄠ4" - ], - "䆽": [ - "ㄑㄩ2" - ], - "䆾": [ - "ㄌㄢ2", - "ㄌㄢ4" - ], - "䆿": [ - "ㄧ4" - ], - "䇀": [ - "ㄖㄨㄥ2" - ], - "䇁": [ - "ㄙ1" - ], - "䇂": [ - "ㄑㄧㄢ1" - ], - "䇃": [ - "ㄙ4" - ], - "䇅": [ - "ㄈㄚ2" - ], - "䇇": [ - "ㄇㄥ2" - ], - "䇈": [ - "ㄏㄨㄚ4" - ], - "䇋": [ - "ㄏㄞ4" - ], - "䇌": [ - "ㄑㄧㄠ4" - ], - "䇍": [ - "ㄔㄨ4", - "ㄑㄧ4" - ], - "䇎": [ - "ㄑㄩㄝ4" - ], - "䇏": [ - "ㄉㄨㄟ4" - ], - "䇐": [ - "ㄌㄧ4" - ], - "䇑": [ - "ㄅㄚ4", - "ㄆㄧ1" - ], - "䇒": [ - "ㄐㄧㄝ4" - ], - "䇓": [ - "ㄒㄩ1" - ], - "䇔": [ - "ㄌㄨㄛ4", - "ㄋㄨㄛ4" - ], - "䇖": [ - "ㄩㄣ3" - ], - "䇗": [ - "ㄓㄨㄥ1" - ], - "䇘": [ - "ㄏㄨ4" - ], - "䇙": [ - "ㄧㄣ3" - ], - "䇛": [ - "ㄓ3" - ], - "䇜": [ - "ㄑㄧㄢ3", - "ㄑㄧㄢ4" - ], - "䇞": [ - "ㄍㄢ1", - "ㄍㄢ3" - ], - "䇟": [ - "ㄐㄧㄢ4" - ], - "䇠": [ - "ㄓㄨ4" - ], - "䇡": [ - "ㄓㄨ4" - ], - "䇢": [ - "ㄎㄨ3", - "ㄍㄨ4" - ], - "䇣": [ - "ㄋㄧㄝ4" - ], - "䇤": [ - "ㄖㄨㄟ4" - ], - "䇥": [ - "ㄗㄜ2" - ], - "䇦": [ - "ㄤ3", - "ㄧㄥ1" - ], - "䇧": [ - "ㄓ4", - "ㄐㄧ1" - ], - "䇨": [ - "ㄍㄨㄥ4", - "ㄒㄧㄤ2" - ], - "䇩": [ - "ㄧ4", - "ㄧㄝ4" - ], - "䇪": [ - "ㄔ1" - ], - "䇫": [ - "ㄐㄧ1" - ], - "䇬": [ - "ㄓㄨ1", - "ㄕㄨ1", - "ㄔㄨㄤ3" - ], - "䇭": [ - "ㄌㄠ3" - ], - "䇮": [ - "ㄖㄣ4" - ], - "䇯": [ - "ㄖㄨㄥ2" - ], - "䇰": [ - "ㄓㄥ1" - ], - "䇱": [ - "ㄋㄚ4" - ], - "䇲": [ - "ㄘㄜ4", - "ㄐㄧㄚ1" - ], - "䇵": [ - "ㄧ2" - ], - "䇶": [ - "ㄐㄩㄝ2", - "ㄨㄛ4" - ], - "䇷": [ - "ㄅㄧㄝ2" - ], - "䇸": [ - "ㄔㄥ2", - "ㄊㄧㄥ1" - ], - "䇹": [ - "ㄐㄩㄣ4" - ], - "䇺": [ - "ㄉㄡ4" - ], - "䇻": [ - "ㄨㄟ3" - ], - "䇼": [ - "ㄧ4" - ], - "䇽": [ - "ㄓㄜ2", - "ㄓ4" - ], - "䇾": [ - "ㄧㄢ2" - ], - "䈀": [ - "ㄙㄢ1" - ], - "䈁": [ - "ㄌㄨㄣ2" - ], - "䈂": [ - "ㄆㄧㄥ2" - ], - "䈃": [ - "ㄓㄠ3" - ], - "䈄": [ - "ㄏㄢ2" - ], - "䈅": [ - "ㄩ4" - ], - "䈆": [ - "ㄉㄞ4" - ], - "䈇": [ - "ㄓㄠ4" - ], - "䈈": [ - "ㄈㄟ2", - "ㄅㄚ1" - ], - "䈉": [ - "ㄕㄚ4", - "ㄑㄧㄝ4" - ], - "䈊": [ - "ㄌㄧㄥ2" - ], - "䈋": [ - "ㄊㄚ4" - ], - "䈌": [ - "ㄑㄩ1" - ], - "䈍": [ - "ㄇㄤ2", - "ㄇㄥ2" - ], - "䈎": [ - "ㄧㄝ4" - ], - "䈏": [ - "ㄅㄠ2", - "ㄈㄨ2" - ], - "䈐": [ - "ㄍㄨㄟ4" - ], - "䈑": [ - "ㄍㄨㄚ3" - ], - "䈒": [ - "ㄋㄢ3", - "ㄌㄢ3" - ], - "䈓": [ - "ㄍㄜ2", - "ㄑㄧㄚ4" - ], - "䈕": [ - "ㄕ2", - "ㄊㄧ2", - "ㄐㄧ1", - "ㄧ2" - ], - "䈖": [ - "ㄎㄜ1" - ], - "䈗": [ - "ㄙㄨㄛ3" - ], - "䈘": [ - "ㄘ2" - ], - "䈙": [ - "ㄓㄡ4" - ], - "䈚": [ - "ㄊㄞ2" - ], - "䈛": [ - "ㄎㄨㄞ4" - ], - "䈜": [ - "ㄑㄧㄣ4" - ], - "䈝": [ - "ㄒㄩ1" - ], - "䈞": [ - "ㄉㄨ3" - ], - "䈟": [ - "ㄘㄜ4", - "ㄓㄚ2" - ], - "䈠": [ - "ㄏㄨㄢ3", - "ㄩㄢ4" - ], - "䈡": [ - "ㄘㄨㄥ1", - "ㄙㄨㄥ1" - ], - "䈢": [ - "ㄙㄞ3", - "ㄒㄧ3" - ], - "䈣": [ - "ㄓㄥ4" - ], - "䈤": [ - "ㄑㄧㄢ2" - ], - "䈥": [ - "ㄐㄧㄣ1" - ], - "䈦": [ - "ㄗㄨㄥ1" - ], - "䈧": [ - "ㄨㄟ3" - ], - "䈪": [ - "ㄒㄧ4" - ], - "䈫": [ - "ㄋㄚ4" - ], - "䈬": [ - "ㄆㄨ2" - ], - "䈭": [ - "ㄙㄡ1", - "ㄏㄨㄞ2" - ], - "䈮": [ - "ㄐㄩ4" - ], - "䈯": [ - "ㄓㄣ1" - ], - "䈰": [ - "ㄕㄠ1" - ], - "䈱": [ - "ㄊㄠ1" - ], - "䈲": [ - "ㄅㄢ1", - "ㄆㄢ2" - ], - "䈳": [ - "ㄊㄚ4" - ], - "䈴": [ - "ㄑㄧㄢ4" - ], - "䈵": [ - "ㄨㄥ1" - ], - "䈶": [ - "ㄖㄨㄥ2" - ], - "䈷": [ - "ㄌㄨㄛ4" - ], - "䈸": [ - "ㄏㄨ2" - ], - "䈹": [ - "ㄙㄡ3" - ], - "䈺": [ - "ㄓㄨㄥ1" - ], - "䈻": [ - "ㄆㄨ2" - ], - "䈼": [ - "ㄇㄧㄝ4", - "ㄇㄧ4" - ], - "䈽": [ - "ㄐㄧㄣ1" - ], - "䈾": [ - "ㄕㄠ1", - "ㄕㄨㄛ4" - ], - "䈿": [ - "ㄇㄧ4" - ], - "䉀": [ - "ㄕㄨ4" - ], - "䉁": [ - "ㄌㄧㄥ2" - ], - "䉂": [ - "ㄌㄟ3" - ], - "䉃": [ - "ㄐㄧㄤ3" - ], - "䉄": [ - "ㄌㄥ2" - ], - "䉅": [ - "ㄓ4" - ], - "䉆": [ - "ㄉㄧㄠ3" - ], - "䉈": [ - "ㄙㄢ3" - ], - "䉉": [ - "ㄍㄨ1", - "ㄏㄨ2" - ], - "䉊": [ - "ㄈㄢ4" - ], - "䉋": [ - "ㄇㄟ4" - ], - "䉌": [ - "ㄙㄨㄟ4" - ], - "䉍": [ - "ㄐㄧㄢ3" - ], - "䉎": [ - "ㄊㄤ2" - ], - "䉏": [ - "ㄒㄧㄝ4" - ], - "䉐": [ - "ㄎㄨ1" - ], - "䉑": [ - "ㄨ2" - ], - "䉒": [ - "ㄈㄢ2" - ], - "䉓": [ - "ㄌㄨㄛ4" - ], - "䉔": [ - "ㄘㄢ1" - ], - "䉕": [ - "ㄘㄥ2" - ], - "䉖": [ - "ㄌㄧㄥ2" - ], - "䉗": [ - "ㄧ1" - ], - "䉘": [ - "ㄘㄨㄥ2" - ], - "䉙": [ - "ㄩㄣ2" - ], - "䉚": [ - "ㄇㄥ2" - ], - "䉛": [ - "ㄩ4", - "ㄠ3" - ], - "䉜": [ - "ㄓ4" - ], - "䉝": [ - "ㄧ3" - ], - "䉞": [ - "ㄉㄢ3" - ], - "䉟": [ - "ㄏㄨㄛ4" - ], - "䉠": [ - "ㄨㄟ2" - ], - "䉡": [ - "ㄊㄢ2" - ], - "䉢": [ - "ㄙㄜ4" - ], - "䉣": [ - "ㄒㄧㄝ4" - ], - "䉤": [ - "ㄙㄡ3" - ], - "䉥": [ - "ㄙㄨㄥ3" - ], - "䉦": [ - "ㄑㄧㄢ1" - ], - "䉧": [ - "ㄌㄧㄡ2", - "ㄌㄧㄡ3" - ], - "䉨": [ - "ㄧ4" - ], - "䉪": [ - "ㄌㄟ4" - ], - "䉫": [ - "ㄌㄧ2" - ], - "䉬": [ - "ㄈㄟ4" - ], - "䉭": [ - "ㄌㄧㄝ4" - ], - "䉮": [ - "ㄌㄧㄣ4" - ], - "䉯": [ - "ㄒㄧㄢ4" - ], - "䉰": [ - "ㄒㄧㄠ4", - "ㄐㄧㄠ3" - ], - "䉱": [ - "ㄡ1" - ], - "䉲": [ - "ㄇㄧ2" - ], - "䉳": [ - "ㄒㄧㄢ1", - "ㄒㄧㄢ3" - ], - "䉴": [ - "ㄖㄤ2" - ], - "䉵": [ - "ㄓㄨㄢ4", - "ㄗㄨㄢ3" - ], - "䉶": [ - "ㄕㄨㄤ1" - ], - "䉷": [ - "ㄧㄢ2" - ], - "䉸": [ - "ㄅㄧㄢ4" - ], - "䉹": [ - "ㄌㄧㄥ2" - ], - "䉺": [ - "ㄏㄨㄥ2" - ], - "䉻": [ - "ㄑㄧ2" - ], - "䉼": [ - "ㄌㄧㄠ4" - ], - "䉽": [ - "ㄅㄢ3" - ], - "䉾": [ - "ㄅㄧ4" - ], - "䉿": [ - "ㄏㄨ2" - ], - "䊀": [ - "ㄏㄨ2" - ], - "䊂": [ - "ㄘㄜ4", - "ㄙㄜ4" - ], - "䊃": [ - "ㄆㄟ4" - ], - "䊄": [ - "ㄑㄩㄥ2" - ], - "䊅": [ - "ㄇㄧㄥ2" - ], - "䊆": [ - "ㄐㄧㄡ4", - "ㄑㄧㄡ3" - ], - "䊇": [ - "ㄅㄨ4" - ], - "䊈": [ - "ㄇㄟ2" - ], - "䊉": [ - "ㄙㄢ3" - ], - "䊊": [ - "ㄨㄟ4" - ], - "䊍": [ - "ㄌㄧ2" - ], - "䊎": [ - "ㄑㄩㄢ3", - "ㄑㄩㄣ2" - ], - "䊐": [ - "ㄏㄨㄣ2" - ], - "䊑": [ - "ㄒㄧㄤ3" - ], - "䊓": [ - "ㄕ4" - ], - "䊔": [ - "ㄧㄥ2" - ], - "䊖": [ - "ㄋㄢ3" - ], - "䊗": [ - "ㄏㄨㄤ2" - ], - "䊘": [ - "ㄐㄧㄡ4" - ], - "䊙": [ - "ㄧㄢ1" - ], - "䊛": [ - "ㄙㄚ4" - ], - "䊜": [ - "ㄊㄨㄢ2" - ], - "䊝": [ - "ㄒㄧㄝ4" - ], - "䊞": [ - "ㄓㄜ2", - "ㄔㄜ4" - ], - "䊟": [ - "ㄇㄣ2" - ], - "䊠": [ - "ㄒㄧ4" - ], - "䊡": [ - "ㄇㄢ2" - ], - "䊣": [ - "ㄏㄨㄤ2" - ], - "䊤": [ - "ㄊㄢ2", - "ㄉㄢ4" - ], - "䊥": [ - "ㄒㄧㄠ4" - ], - "䊦": [ - "ㄧㄝ4" - ], - "䊧": [ - "ㄅㄧ4" - ], - "䊨": [ - "ㄌㄨㄛ2" - ], - "䊩": [ - "ㄈㄢ2" - ], - "䊪": [ - "ㄌㄧ4" - ], - "䊫": [ - "ㄘㄨㄟ3" - ], - "䊬": [ - "ㄔㄨㄚ1" - ], - "䊭": [ - "ㄉㄠ4", - "ㄔㄡ2" - ], - "䊮": [ - "ㄉㄧ2" - ], - "䊯": [ - "ㄎㄨㄤ4" - ], - "䊰": [ - "ㄔㄨ2" - ], - "䊱": [ - "ㄒㄧㄢ1" - ], - "䊲": [ - "ㄔㄢ4", - "ㄔㄢ3" - ], - "䊳": [ - "ㄇㄧ2", - "ㄇㄛ2" - ], - "䊴": [ - "ㄑㄧㄢ4" - ], - "䊵": [ - "ㄑㄧㄡ2" - ], - "䊶": [ - "ㄓㄣ4" - ], - "䊺": [ - "ㄏㄨ4" - ], - "䊻": [ - "ㄍㄢ1" - ], - "䊼": [ - "ㄔ3" - ], - "䊽": [ - "ㄍㄨㄞ4", - "ㄐㄩㄝ2" - ], - "䊾": [ - "ㄇㄨ4" - ], - "䊿": [ - "ㄅㄛ2" - ], - "䋀": [ - "ㄏㄨㄚ4" - ], - "䋁": [ - "ㄍㄥ3" - ], - "䋂": [ - "ㄧㄠ2" - ], - "䋃": [ - "ㄇㄠ4" - ], - "䋄": [ - "ㄨㄤ3" - ], - "䋈": [ - "ㄖㄨ2", - "ㄋㄚ3" - ], - "䋉": [ - "ㄒㄩㄝ2" - ], - "䋊": [ - "ㄓㄥ1" - ], - "䋋": [ - "ㄇㄧㄣ2" - ], - "䋌": [ - "ㄐㄧㄤ3" - ], - "䋎": [ - "ㄓㄢ4" - ], - "䋏": [ - "ㄗㄨㄛ2", - "ㄓㄚ4" - ], - "䋐": [ - "ㄩㄝ4" - ], - "䋑": [ - "ㄌㄧㄝ4" - ], - "䋓": [ - "ㄓㄡ4" - ], - "䋔": [ - "ㄅㄧ4" - ], - "䋕": [ - "ㄖㄣ4" - ], - "䋖": [ - "ㄩ4" - ], - "䋘": [ - "ㄔㄨㄛ4" - ], - "䋙": [ - "ㄦ3" - ], - "䋚": [ - "ㄧ4" - ], - "䋛": [ - "ㄇㄧ3" - ], - "䋜": [ - "ㄑㄧㄥ4" - ], - "䋞": [ - "ㄨㄤ3" - ], - "䋟": [ - "ㄐㄧ4" - ], - "䋠": [ - "ㄅㄨ3" - ], - "䋢": [ - "ㄅㄧㄝ1" - ], - "䋣": [ - "ㄈㄢ2", - "ㄆㄛ2" - ], - "䋤": [ - "ㄩㄝ4" - ], - "䋥": [ - "ㄌㄧ2" - ], - "䋦": [ - "ㄈㄢ2" - ], - "䋧": [ - "ㄑㄩ2" - ], - "䋨": [ - "ㄈㄨ3" - ], - "䋩": [ - "ㄦ2" - ], - "䋪": [ - "ㄜ1" - ], - "䋫": [ - "ㄓㄥ1" - ], - "䋬": [ - "ㄊㄧㄢ1" - ], - "䋭": [ - "ㄩ4" - ], - "䋮": [ - "ㄐㄧㄣ4" - ], - "䋯": [ - "ㄑㄧ3" - ], - "䋰": [ - "ㄐㄩ2" - ], - "䋱": [ - "ㄌㄞ2" - ], - "䋲": [ - "ㄔㄜ3" - ], - "䋳": [ - "ㄅㄟ3" - ], - "䋴": [ - "ㄋㄧㄡ4" - ], - "䋵": [ - "ㄧ4", - "ㄧㄝ4" - ], - "䋶": [ - "ㄒㄩ3", - "ㄒㄧㄝ2" - ], - "䋷": [ - "ㄇㄡ2" - ], - "䋸": [ - "ㄒㄩㄣ2" - ], - "䋹": [ - "ㄈㄨ2" - ], - "䋻": [ - "ㄋㄧㄣ2" - ], - "䋼": [ - "ㄊㄧㄥ1", - "ㄧㄥ2" - ], - "䋽": [ - "ㄅㄥ3" - ], - "䋾": [ - "ㄓㄚ3", - "ㄋㄚ4" - ], - "䋿": [ - "ㄨㄟ1" - ], - "䌀": [ - "ㄎㄜ1" - ], - "䌁": [ - "ㄧㄠ1" - ], - "䌂": [ - "ㄡ4" - ], - "䌃": [ - "ㄒㄧㄠ1", - "ㄕㄨㄛ4" - ], - "䌄": [ - "ㄍㄥ3" - ], - "䌅": [ - "ㄊㄤ2" - ], - "䌆": [ - "ㄍㄨㄟ4" - ], - "䌇": [ - "ㄏㄨㄟ4" - ], - "䌈": [ - "ㄊㄚ1", - "ㄊㄚ4" - ], - "䌊": [ - "ㄧㄠ2" - ], - "䌋": [ - "ㄉㄚ1" - ], - "䌌": [ - "ㄑㄧ4" - ], - "䌍": [ - "ㄐㄧㄣ3" - ], - "䌎": [ - "ㄌㄩㄝ4" - ], - "䌏": [ - "ㄇㄧ4" - ], - "䌐": [ - "ㄇㄧ4" - ], - "䌑": [ - "ㄐㄧㄢ1" - ], - "䌒": [ - "ㄌㄨ4" - ], - "䌓": [ - "ㄈㄢ2" - ], - "䌔": [ - "ㄡ1" - ], - "䌕": [ - "ㄇㄧ2" - ], - "䌖": [ - "ㄐㄧㄝ2" - ], - "䌗": [ - "ㄈㄨ3" - ], - "䌘": [ - "ㄅㄧㄝ4", - "ㄅㄧ4" - ], - "䌙": [ - "ㄏㄨㄤ4" - ], - "䌚": [ - "ㄙㄨ1" - ], - "䌛": [ - "ㄧㄠ2" - ], - "䌜": [ - "ㄋㄧㄝ4" - ], - "䌝": [ - "ㄐㄧㄣ1", - "ㄐㄧㄣ4" - ], - "䌞": [ - "ㄌㄧㄢ3" - ], - "䌟": [ - "ㄅㄛ2", - "ㄅㄧ4" - ], - "䌠": [ - "ㄐㄧㄢ1" - ], - "䌡": [ - "ㄊㄧ3" - ], - "䌢": [ - "ㄌㄧㄥ2" - ], - "䌣": [ - "ㄗㄨㄢ3" - ], - "䌤": [ - "ㄕ1", - "ㄓ3" - ], - "䌥": [ - "ㄧㄣ3" - ], - "䌦": [ - "ㄉㄠ4" - ], - "䌧": [ - "ㄔㄡ2" - ], - "䌨": [ - "ㄘㄚ1", - "ㄘㄞ4" - ], - "䌩": [ - "ㄇㄧㄝ4" - ], - "䌪": [ - "ㄧㄢ3" - ], - "䌫": [ - "ㄌㄢ3" - ], - "䌬": [ - "ㄔㄨㄥ2" - ], - "䌭": [ - "ㄐㄧㄠ1" - ], - "䌮": [ - "ㄕㄨㄤ1" - ], - "䌯": [ - "ㄑㄩㄢ1", - "ㄑㄩㄢ2", - "ㄍㄨㄢ4" - ], - "䌰": [ - "ㄋㄧㄝ4" - ], - "䌱": [ - "ㄌㄨㄛ4" - ], - "䌳": [ - "ㄕ1" - ], - "䌴": [ - "ㄌㄨㄛ4" - ], - "䌵": [ - "ㄓㄨ2" - ], - "䌷": [ - "ㄔㄡ1", - "ㄔㄡ2" - ], - "䌸": [ - "ㄐㄩㄢ4" - ], - "䌹": [ - "ㄐㄩㄥ3" - ], - "䌺": [ - "ㄦ3" - ], - "䌻": [ - "ㄧ4" - ], - "䌼": [ - "ㄖㄨㄟ4" - ], - "䌽": [ - "ㄘㄞ3" - ], - "䌾": [ - "ㄖㄣ2" - ], - "䌿": [ - "ㄈㄨ2" - ], - "䍀": [ - "ㄌㄢ2" - ], - "䍁": [ - "ㄙㄨㄟ4" - ], - "䍂": [ - "ㄩ2" - ], - "䍃": [ - "ㄧㄡ2" - ], - "䍄": [ - "ㄉㄧㄢ3" - ], - "䍅": [ - "ㄌㄧㄥ2" - ], - "䍆": [ - "ㄓㄨ4" - ], - "䍇": [ - "ㄊㄚ4" - ], - "䍈": [ - "ㄆㄧㄥ2" - ], - "䍉": [ - "ㄓㄞ3" - ], - "䍊": [ - "ㄐㄧㄠ1" - ], - "䍋": [ - "ㄔㄨㄟ2" - ], - "䍌": [ - "ㄅㄨ4" - ], - "䍍": [ - "ㄎㄡ4" - ], - "䍎": [ - "ㄘㄨㄣ4", - "ㄒㄧㄢ3" - ], - "䍐": [ - "ㄏㄢ3" - ], - "䍑": [ - "ㄏㄢ3" - ], - "䍒": [ - "ㄇㄡ3" - ], - "䍓": [ - "ㄏㄨ4" - ], - "䍔": [ - "ㄍㄨㄥ1" - ], - "䍕": [ - "ㄉㄧ1", - "ㄉㄧ3" - ], - "䍖": [ - "ㄈㄨ2" - ], - "䍗": [ - "ㄒㄩㄢ4" - ], - "䍘": [ - "ㄇㄧ2" - ], - "䍙": [ - "ㄇㄟ2", - "ㄇㄡ3" - ], - "䍚": [ - "ㄌㄤ4" - ], - "䍛": [ - "ㄍㄨ4" - ], - "䍜": [ - "ㄓㄠ4" - ], - "䍝": [ - "ㄊㄚ4" - ], - "䍞": [ - "ㄩ4" - ], - "䍟": [ - "ㄗㄨㄥ4" - ], - "䍠": [ - "ㄌㄧ2" - ], - "䍡": [ - "ㄌㄨ4" - ], - "䍢": [ - "ㄨ2" - ], - "䍣": [ - "ㄌㄟ2" - ], - "䍤": [ - "ㄐㄧ3" - ], - "䍥": [ - "ㄌㄧ4" - ], - "䍦": [ - "ㄌㄧ2" - ], - "䍨": [ - "ㄆㄛ1", - "ㄈㄟ4" - ], - "䍩": [ - "ㄧㄤ3" - ], - "䍪": [ - "ㄨㄚ4" - ], - "䍫": [ - "ㄊㄨㄛ2" - ], - "䍬": [ - "ㄆㄥ1" - ], - "䍮": [ - "ㄓㄠ4" - ], - "䍯": [ - "ㄍㄨㄟ3" - ], - "䍱": [ - "ㄒㄩ2" - ], - "䍲": [ - "ㄋㄞ2" - ], - "䍳": [ - "ㄑㄩㄝ4", - "ㄐㄩㄝ2", - "ㄔㄨㄛ4" - ], - "䍴": [ - "ㄨㄟ3" - ], - "䍵": [ - "ㄓㄥ1" - ], - "䍶": [ - "ㄉㄨㄥ1" - ], - "䍷": [ - "ㄨㄟ3" - ], - "䍸": [ - "ㄅㄛ2" - ], - "䍺": [ - "ㄏㄨㄢ4" - ], - "䍻": [ - "ㄒㄩㄢ4" - ], - "䍼": [ - "ㄗㄢ1", - "ㄘㄢ2" - ], - "䍽": [ - "ㄌㄧ4" - ], - "䍾": [ - "ㄧㄢ3" - ], - "䍿": [ - "ㄏㄨㄤ2" - ], - "䎀": [ - "ㄒㄩㄝ4" - ], - "䎁": [ - "ㄏㄨ2" - ], - "䎂": [ - "ㄅㄠ3" - ], - "䎃": [ - "ㄖㄢ3" - ], - "䎄": [ - "ㄒㄧㄠ1", - "ㄊㄧㄠ2" - ], - "䎅": [ - "ㄆㄛ4" - ], - "䎆": [ - "ㄌㄧㄠ4" - ], - "䎇": [ - "ㄓㄡ1" - ], - "䎈": [ - "ㄧ4" - ], - "䎉": [ - "ㄒㄩ4" - ], - "䎊": [ - "ㄌㄨㄛ4", - "ㄆㄛ4" - ], - "䎋": [ - "ㄎㄠ4" - ], - "䎌": [ - "ㄔㄨ4" - ], - "䎎": [ - "ㄋㄚ4" - ], - "䎏": [ - "ㄏㄢ2" - ], - "䎐": [ - "ㄔㄠ3" - ], - "䎑": [ - "ㄌㄨ4" - ], - "䎒": [ - "ㄓㄢ3" - ], - "䎓": [ - "ㄊㄚ4" - ], - "䎔": [ - "ㄈㄨ1" - ], - "䎕": [ - "ㄏㄨㄥ1" - ], - "䎖": [ - "ㄗㄥ1" - ], - "䎗": [ - "ㄑㄧㄠ2" - ], - "䎘": [ - "ㄙㄨ4" - ], - "䎙": [ - "ㄆㄧㄣ1" - ], - "䎚": [ - "ㄍㄨㄢ4" - ], - "䎜": [ - "ㄏㄨㄣ1" - ], - "䎝": [ - "ㄔㄨ2" - ], - "䎟": [ - "ㄦ2" - ], - "䎠": [ - "ㄦ2", - "ㄋㄨㄛ4" - ], - "䎡": [ - "ㄖㄨㄢ3" - ], - "䎢": [ - "ㄑㄧ3" - ], - "䎣": [ - "ㄙ4" - ], - "䎤": [ - "ㄐㄩ2" - ], - "䎦": [ - "ㄧㄢ3" - ], - "䎧": [ - "ㄅㄤ4", - "ㄆㄡ2" - ], - "䎨": [ - "ㄧㄝ4", - "ㄢ4" - ], - "䎩": [ - "ㄗ1" - ], - "䎪": [ - "ㄋㄜ4" - ], - "䎫": [ - "ㄔㄨㄤ4" - ], - "䎬": [ - "ㄅㄚ4" - ], - "䎭": [ - "ㄘㄠ1" - ], - "䎮": [ - "ㄊㄧ4" - ], - "䎯": [ - "ㄏㄢ4", - "ㄏㄢ3" - ], - "䎰": [ - "ㄗㄨㄛ2" - ], - "䎱": [ - "ㄅㄚ4", - "ㄅㄟ1" - ], - "䎲": [ - "ㄓㄜ2" - ], - "䎳": [ - "ㄨㄚ4" - ], - "䎴": [ - "ㄍㄥ1", - "ㄕㄥ4" - ], - "䎵": [ - "ㄅㄧ4" - ], - "䎶": [ - "ㄦ4" - ], - "䎷": [ - "ㄓㄨ4" - ], - "䎸": [ - "ㄨ4" - ], - "䎹": [ - "ㄨㄣ2" - ], - "䎺": [ - "ㄓ4" - ], - "䎻": [ - "ㄓㄡ4" - ], - "䎼": [ - "ㄌㄨ4" - ], - "䎽": [ - "ㄨㄣ2" - ], - "䎾": [ - "ㄍㄨㄣ3" - ], - "䎿": [ - "ㄑㄧㄡ2" - ], - "䏀": [ - "ㄌㄚ4" - ], - "䏁": [ - "ㄗㄞ3" - ], - "䏂": [ - "ㄙㄡ3" - ], - "䏃": [ - "ㄇㄧㄢ2", - "ㄇㄧㄥ2" - ], - "䏄": [ - "ㄉㄧ3", - "ㄓ4" - ], - "䏅": [ - "ㄑㄧ4" - ], - "䏆": [ - "ㄘㄠ2" - ], - "䏇": [ - "ㄆㄧㄠ4" - ], - "䏈": [ - "ㄌㄧㄢ2", - "ㄌㄨㄢ2" - ], - "䏉": [ - "ㄕ1" - ], - "䏊": [ - "ㄌㄨㄥ2" - ], - "䏋": [ - "ㄙㄨ4" - ], - "䏌": [ - "ㄑㄧ4", - "ㄧ4" - ], - "䏍": [ - "ㄩㄢ4", - "ㄩㄢ1" - ], - "䏎": [ - "ㄈㄥ2" - ], - "䏏": [ - "ㄒㄩ1" - ], - "䏐": [ - "ㄐㄩㄝ2" - ], - "䏑": [ - "ㄉㄧ4" - ], - "䏒": [ - "ㄆㄧㄢ4", - "ㄆㄢ4" - ], - "䏓": [ - "ㄍㄨㄢ3" - ], - "䏔": [ - "ㄋㄧㄡ3", - "ㄓㄡ3", - "ㄖㄡ4", - "ㄋㄩ4" - ], - "䏕": [ - "ㄖㄣ4" - ], - "䏖": [ - "ㄓㄣ4", - "ㄧㄣ3" - ], - "䏗": [ - "ㄍㄞ4" - ], - "䏘": [ - "ㄆㄧ4" - ], - "䏙": [ - "ㄊㄢ3", - "ㄉㄢ4", - "ㄓㄨㄢ4" - ], - "䏚": [ - "ㄔㄠ3", - "ㄇㄧㄠ3" - ], - "䏛": [ - "ㄔㄨㄣ3" - ], - "䏜": [ - "ㄏㄜ1" - ], - "䏝": [ - "ㄓㄨㄢ1" - ], - "䏞": [ - "ㄇㄛ4" - ], - "䏟": [ - "ㄅㄧㄝ2", - "ㄅㄧ4" - ], - "䏠": [ - "ㄑㄧ4", - "ㄌㄚ1" - ], - "䏡": [ - "ㄕ4" - ], - "䏢": [ - "ㄅㄧ3" - ], - "䏣": [ - "ㄐㄩㄝ2" - ], - "䏤": [ - "ㄙ4" - ], - "䏦": [ - "ㄍㄨㄚ1", - "ㄊㄧㄢ2" - ], - "䏧": [ - "ㄋㄚ4", - "ㄋㄚ2", - "ㄔ3" - ], - "䏨": [ - "ㄏㄨㄟ3", - "ㄉㄨㄟ1" - ], - "䏩": [ - "ㄒㄧ1" - ], - "䏪": [ - "ㄦ4" - ], - "䏫": [ - "ㄒㄧㄡ1" - ], - "䏬": [ - "ㄇㄡ2" - ], - "䏮": [ - "ㄒㄧ2" - ], - "䏯": [ - "ㄓ4" - ], - "䏰": [ - "ㄖㄨㄣ4" - ], - "䏱": [ - "ㄐㄩ2" - ], - "䏲": [ - "ㄉㄧㄝ2", - "ㄊㄧ1" - ], - "䏳": [ - "ㄓㄜ4" - ], - "䏴": [ - "ㄕㄠ4" - ], - "䏵": [ - "ㄇㄥ3", - "ㄇㄤ3", - "ㄇㄤ2" - ], - "䏶": [ - "ㄅㄧ4" - ], - "䏷": [ - "ㄏㄢ4" - ], - "䏸": [ - "ㄩ2" - ], - "䏹": [ - "ㄒㄧㄢ4", - "ㄔㄣ1" - ], - "䏺": [ - "ㄆㄤ1" - ], - "䏻": [ - "ㄋㄥ2" - ], - "䏼": [ - "ㄘㄢ2", - "ㄓㄢ4" - ], - "䏽": [ - "ㄅㄨ4", - "ㄆㄟ2" - ], - "䏿": [ - "ㄑㄧ3" - ], - "䐀": [ - "ㄐㄧ4" - ], - "䐁": [ - "ㄓㄨㄛ2", - "ㄉㄨ1" - ], - "䐂": [ - "ㄌㄨ4" - ], - "䐃": [ - "ㄐㄩㄣ4", - "ㄓㄨㄣ1" - ], - "䐄": [ - "ㄒㄧㄢ4", - "ㄏㄢ4" - ], - "䐅": [ - "ㄒㄧ1" - ], - "䐆": [ - "ㄘㄞ3" - ], - "䐇": [ - "ㄨㄣ3", - "ㄔㄨㄣ2" - ], - "䐈": [ - "ㄓ2" - ], - "䐉": [ - "ㄗ4", - "ㄋㄠ3" - ], - "䐊": [ - "ㄎㄨㄣ1", - "ㄏㄨㄣ2", - "ㄏㄨㄣ4" - ], - "䐋": [ - "ㄘㄨㄥ1" - ], - "䐌": [ - "ㄊㄧㄢ3" - ], - "䐍": [ - "ㄔㄨ4" - ], - "䐎": [ - "ㄉㄧ1" - ], - "䐏": [ - "ㄔㄨㄣ3", - "ㄕㄨㄣ3" - ], - "䐐": [ - "ㄑㄧㄡ1" - ], - "䐑": [ - "ㄓㄜ2" - ], - "䐒": [ - "ㄓㄚ1" - ], - "䐓": [ - "ㄖㄡ2" - ], - "䐔": [ - "ㄅㄧㄣ3", - "ㄅㄧㄢ4" - ], - "䐕": [ - "ㄐㄧ2" - ], - "䐖": [ - "ㄒㄧ1" - ], - "䐗": [ - "ㄓㄨ1", - "ㄉㄨ3" - ], - "䐘": [ - "ㄐㄩㄝ2" - ], - "䐙": [ - "ㄍㄜ2" - ], - "䐚": [ - "ㄐㄧ1" - ], - "䐛": [ - "ㄉㄚ1" - ], - "䐜": [ - "ㄔㄣ1" - ], - "䐝": [ - "ㄙㄨㄛ4" - ], - "䐞": [ - "ㄖㄨㄛ4" - ], - "䐟": [ - "ㄒㄧㄤ3", - "ㄍㄡ1" - ], - "䐠": [ - "ㄏㄨㄤ3" - ], - "䐡": [ - "ㄑㄧ2" - ], - "䐢": [ - "ㄓㄨ4", - "ㄓㄡ4", - "ㄔㄨ4" - ], - "䐣": [ - "ㄙㄨㄣ3" - ], - "䐤": [ - "ㄔㄞ1", - "ㄘㄨㄛ2" - ], - "䐥": [ - "ㄨㄥ3" - ], - "䐦": [ - "ㄎㄜ1" - ], - "䐧": [ - "ㄎㄠ4", - "ㄏㄜ4" - ], - "䐨": [ - "ㄍㄨ3", - "ㄑㄩㄝ4" - ], - "䐩": [ - "ㄍㄞ1", - "ㄍㄨㄟ1", - "ㄎㄞ3" - ], - "䐪": [ - "ㄈㄢ4" - ], - "䐫": [ - "ㄘㄨㄥ1" - ], - "䐬": [ - "ㄘㄠ2" - ], - "䐭": [ - "ㄓ4", - "ㄉㄧ4" - ], - "䐮": [ - "ㄔㄢ3" - ], - "䐯": [ - "ㄌㄟ2", - "ㄌㄟ3" - ], - "䐰": [ - "ㄒㄧㄡ1" - ], - "䐱": [ - "ㄓㄞ4" - ], - "䐲": [ - "ㄓㄜ2" - ], - "䐳": [ - "ㄩ2" - ], - "䐴": [ - "ㄍㄨㄟ4" - ], - "䐵": [ - "ㄍㄨㄥ1", - "ㄏㄨㄤ2" - ], - "䐶": [ - "ㄗㄢ1", - "ㄐㄧㄣ3", - "ㄑㄧㄢ2" - ], - "䐷": [ - "ㄉㄢ1" - ], - "䐸": [ - "ㄏㄨㄛ4", - "ㄍㄨㄛ2" - ], - "䐹": [ - "ㄙㄡ1", - "ㄙㄠ4", - "ㄒㄧㄠ4" - ], - "䐺": [ - "ㄊㄢ4", - "ㄊㄢ2" - ], - "䐻": [ - "ㄍㄨ1" - ], - "䐼": [ - "ㄒㄧ4" - ], - "䐽": [ - "ㄇㄢ2" - ], - "䐾": [ - "ㄉㄨㄛ2" - ], - "䐿": [ - "ㄠ4", - "ㄠ3" - ], - "䑀": [ - "ㄆㄧ4", - "ㄆㄧ3" - ], - "䑁": [ - "ㄨ4" - ], - "䑂": [ - "ㄞ3" - ], - "䑃": [ - "ㄇㄥ2" - ], - "䑄": [ - "ㄆㄧ4", - "ㄧ4" - ], - "䑅": [ - "ㄇㄥ2" - ], - "䑆": [ - "ㄧㄤ3" - ], - "䑇": [ - "ㄓ4" - ], - "䑈": [ - "ㄅㄛ2" - ], - "䑉": [ - "ㄧㄥ2" - ], - "䑊": [ - "ㄨㄟ2", - "ㄨㄟ4" - ], - "䑋": [ - "ㄖㄤ3" - ], - "䑌": [ - "ㄌㄢ2", - "ㄌㄢ4" - ], - "䑍": [ - "ㄧㄢ1", - "ㄧㄢ4", - "ㄧㄥ3" - ], - "䑎": [ - "ㄔㄢ3" - ], - "䑏": [ - "ㄑㄩㄢ2", - "ㄏㄨㄢ1" - ], - "䑐": [ - "ㄓㄣ3" - ], - "䑑": [ - "ㄆㄨ2" - ], - "䑓": [ - "ㄊㄞ2" - ], - "䑔": [ - "ㄈㄟ4" - ], - "䑕": [ - "ㄕㄨ3" - ], - "䑗": [ - "ㄉㄤ4" - ], - "䑘": [ - "ㄘㄨㄛ2" - ], - "䑙": [ - "ㄊㄢ1", - "ㄖㄢ2", - "ㄊㄧㄢ4" - ], - "䑚": [ - "ㄊㄧㄢ2" - ], - "䑛": [ - "ㄔ3" - ], - "䑜": [ - "ㄊㄚ4", - "ㄊㄧㄝ4" - ], - "䑝": [ - "ㄐㄧㄚ3" - ], - "䑞": [ - "ㄕㄨㄣ4" - ], - "䑟": [ - "ㄏㄨㄤ2" - ], - "䑠": [ - "ㄌㄧㄠ3" - ], - "䑣": [ - "ㄔㄣ1" - ], - "䑤": [ - "ㄐㄧㄣ4" - ], - "䑥": [ - "ㄜ4", - "ㄙㄚ4" - ], - "䑦": [ - "ㄍㄡ1" - ], - "䑧": [ - "ㄈㄨ2" - ], - "䑨": [ - "ㄉㄨㄛ4" - ], - "䑪": [ - "ㄜ4" - ], - "䑫": [ - "ㄅㄥ1" - ], - "䑬": [ - "ㄊㄠ1", - "ㄧㄠ4", - "ㄊㄧㄠ1" - ], - "䑭": [ - "ㄉㄧ4" - ], - "䑯": [ - "ㄉㄧ4" - ], - "䑰": [ - "ㄅㄨ4" - ], - "䑱": [ - "ㄨㄢ3" - ], - "䑲": [ - "ㄓㄠ4" - ], - "䑳": [ - "ㄌㄨㄣ2" - ], - "䑴": [ - "ㄑㄧ2" - ], - "䑵": [ - "ㄇㄨ4" - ], - "䑶": [ - "ㄑㄧㄢ4" - ], - "䑸": [ - "ㄗㄨㄥ1" - ], - "䑹": [ - "ㄙㄡ1", - "ㄙㄠ1" - ], - "䑻": [ - "ㄧㄡ2" - ], - "䑼": [ - "ㄓㄡ1" - ], - "䑽": [ - "ㄊㄚ4" - ], - "䑿": [ - "ㄙㄨ4" - ], - "䒀": [ - "ㄅㄨ4" - ], - "䒁": [ - "ㄒㄧ2" - ], - "䒂": [ - "ㄐㄧㄤ3" - ], - "䒃": [ - "ㄘㄠ4" - ], - "䒄": [ - "ㄈㄨ4" - ], - "䒅": [ - "ㄊㄥ2" - ], - "䒆": [ - "ㄔㄜ4" - ], - "䒇": [ - "ㄈㄨ4" - ], - "䒈": [ - "ㄈㄟ4" - ], - "䒉": [ - "ㄨ3" - ], - "䒊": [ - "ㄒㄧ1" - ], - "䒋": [ - "ㄧㄤ3" - ], - "䒌": [ - "ㄇㄧㄥ4" - ], - "䒍": [ - "ㄆㄤ3" - ], - "䒎": [ - "ㄇㄤ3" - ], - "䒏": [ - "ㄙㄥ1" - ], - "䒐": [ - "ㄇㄥ2", - "ㄇㄥ4" - ], - "䒑": [ - "ㄘㄠ3" - ], - "䒒": [ - "ㄊㄧㄠ2" - ], - "䒓": [ - "ㄎㄞ3" - ], - "䒔": [ - "ㄅㄞ4" - ], - "䒕": [ - "ㄒㄧㄠ3" - ], - "䒖": [ - "ㄒㄧㄣ4" - ], - "䒗": [ - "ㄑㄧ4" - ], - "䒚": [ - "ㄕㄠ3" - ], - "䒛": [ - "ㄏㄨㄢ4" - ], - "䒜": [ - "ㄋㄧㄡ2" - ], - "䒝": [ - "ㄒㄧㄠ2" - ], - "䒞": [ - "ㄔㄣ2", - "ㄧㄣ2" - ], - "䒟": [ - "ㄉㄢ1" - ], - "䒠": [ - "ㄈㄥ1", - "ㄒㄧㄚ2" - ], - "䒡": [ - "ㄧㄣ3" - ], - "䒢": [ - "ㄤ2" - ], - "䒣": [ - "ㄖㄢ3" - ], - "䒤": [ - "ㄖ4" - ], - "䒥": [ - "ㄇㄢ2" - ], - "䒦": [ - "ㄈㄢ4" - ], - "䒧": [ - "ㄑㄩ1", - "ㄑㄩ4" - ], - "䒨": [ - "ㄕ3", - "ㄙ4" - ], - "䒩": [ - "ㄏㄜ2" - ], - "䒪": [ - "ㄅㄧㄢ4" - ], - "䒫": [ - "ㄉㄞ4" - ], - "䒬": [ - "ㄇㄛ4" - ], - "䒭": [ - "ㄉㄥ3" - ], - "䒰": [ - "ㄎㄨㄤ1" - ], - "䒲": [ - "ㄔㄚ4" - ], - "䒳": [ - "ㄉㄨㄛ3" - ], - "䒴": [ - "ㄧㄡ3" - ], - "䒵": [ - "ㄏㄠ4" - ], - "䒷": [ - "ㄍㄨㄚ1" - ], - "䒸": [ - "ㄒㄩㄝ4" - ], - "䒹": [ - "ㄌㄟ4" - ], - "䒺": [ - "ㄐㄧㄣ3" - ], - "䒻": [ - "ㄑㄧ3" - ], - "䒼": [ - "ㄑㄩ1" - ], - "䒽": [ - "ㄨㄤ3" - ], - "䒾": [ - "ㄧ1" - ], - "䒿": [ - "ㄌㄧㄠ2" - ], - "䓂": [ - "ㄧㄢ2" - ], - "䓃": [ - "ㄧ4" - ], - "䓄": [ - "ㄧㄣ2" - ], - "䓅": [ - "ㄑㄧ2" - ], - "䓆": [ - "ㄓㄜ2" - ], - "䓇": [ - "ㄒㄧ4", - "ㄏㄜ4", - "ㄎㄜ4" - ], - "䓈": [ - "ㄧ4" - ], - "䓉": [ - "ㄧㄝ2", - "ㄧㄝ1" - ], - "䓊": [ - "ㄨ2", - "ㄩ2" - ], - "䓋": [ - "ㄓ1" - ], - "䓌": [ - "ㄓ4" - ], - "䓍": [ - "ㄏㄢ3" - ], - "䓎": [ - "ㄔㄨㄛ4" - ], - "䓏": [ - "ㄈㄨ1" - ], - "䓐": [ - "ㄔㄨㄣ2" - ], - "䓑": [ - "ㄆㄧㄥ2" - ], - "䓒": [ - "ㄎㄨㄞ3" - ], - "䓓": [ - "ㄔㄡ2" - ], - "䓕": [ - "ㄊㄨㄛ3" - ], - "䓖": [ - "ㄑㄩㄥ2" - ], - "䓗": [ - "ㄘㄨㄥ1" - ], - "䓘": [ - "ㄍㄠ1", - "ㄐㄧㄡ4" - ], - "䓙": [ - "ㄎㄨㄚ1", - "ㄍㄨㄞ1" - ], - "䓚": [ - "ㄑㄩ1", - "ㄘㄨ2" - ], - "䓛": [ - "ㄑㄩ1" - ], - "䓜": [ - "ㄓ1" - ], - "䓝": [ - "ㄇㄥ4" - ], - "䓞": [ - "ㄌㄧ4" - ], - "䓟": [ - "ㄓㄡ1", - "ㄌㄧㄝ4" - ], - "䓠": [ - "ㄊㄚ4" - ], - "䓡": [ - "ㄓ1" - ], - "䓢": [ - "ㄍㄨ4" - ], - "䓣": [ - "ㄌㄧㄤ3" - ], - "䓤": [ - "ㄏㄨ1" - ], - "䓥": [ - "ㄌㄚ4" - ], - "䓦": [ - "ㄉㄧㄢ3" - ], - "䓧": [ - "ㄘ4" - ], - "䓨": [ - "ㄧㄥ1" - ], - "䓫": [ - "ㄑㄧ2" - ], - "䓬": [ - "ㄓㄨㄛ2" - ], - "䓭": [ - "ㄔㄚ4" - ], - "䓮": [ - "ㄇㄠ4" - ], - "䓯": [ - "ㄉㄨ2" - ], - "䓰": [ - "ㄧㄣ1" - ], - "䓱": [ - "ㄔㄞ2", - "ㄗㄨㄟ1" - ], - "䓲": [ - "ㄖㄨㄟ4" - ], - "䓳": [ - "ㄏㄣ3", - "ㄒㄧㄝ2" - ], - "䓴": [ - "ㄖㄨㄢ3" - ], - "䓵": [ - "ㄈㄨ1" - ], - "䓶": [ - "ㄌㄞ4" - ], - "䓷": [ - "ㄒㄧㄥ4" - ], - "䓸": [ - "ㄐㄧㄢ1" - ], - "䓹": [ - "ㄧ4" - ], - "䓺": [ - "ㄇㄟ3" - ], - "䓼": [ - "ㄇㄤ2", - "ㄏㄜ4" - ], - "䓽": [ - "ㄐㄧ4" - ], - "䓾": [ - "ㄙㄨㄛ1" - ], - "䓿": [ - "ㄏㄢ4" - ], - "䔁": [ - "ㄌㄧ4" - ], - "䔂": [ - "ㄗ3", - "ㄗㄞ3" - ], - "䔃": [ - "ㄗㄨ3" - ], - "䔄": [ - "ㄧㄠ2", - "ㄧㄠ4" - ], - "䔅": [ - "ㄍㄜ1" - ], - "䔆": [ - "ㄌㄧ2" - ], - "䔇": [ - "ㄑㄧ3", - "ㄞ2" - ], - "䔈": [ - "ㄍㄨㄥ4" - ], - "䔉": [ - "ㄌㄧ4", - "ㄙㄨㄢ4" - ], - "䔊": [ - "ㄅㄧㄥ1" - ], - "䔋": [ - "ㄙㄨㄛ1" - ], - "䔎": [ - "ㄙㄨ4" - ], - "䔏": [ - "ㄔㄡ4" - ], - "䔐": [ - "ㄐㄧㄢ1" - ], - "䔑": [ - "ㄒㄧㄝ2", - "ㄧㄝ2", - "ㄊㄨ2" - ], - "䔒": [ - "ㄅㄟ4" - ], - "䔓": [ - "ㄒㄩ3" - ], - "䔔": [ - "ㄐㄧㄥ4" - ], - "䔕": [ - "ㄆㄨ2" - ], - "䔖": [ - "ㄌㄧㄥ2" - ], - "䔗": [ - "ㄒㄧㄤ2" - ], - "䔘": [ - "ㄗㄨㄛ4" - ], - "䔙": [ - "ㄉㄧㄠ4" - ], - "䔚": [ - "ㄔㄨㄣ2" - ], - "䔛": [ - "ㄑㄧㄥ3" - ], - "䔜": [ - "ㄋㄢ2" - ], - "䔝": [ - "ㄓㄞ1" - ], - "䔞": [ - "ㄌㄩ4" - ], - "䔟": [ - "ㄧ2" - ], - "䔠": [ - "ㄕㄠ3", - "ㄕㄠ1", - "ㄕㄨㄛ4" - ], - "䔡": [ - "ㄩ2" - ], - "䔢": [ - "ㄏㄨㄚ2" - ], - "䔣": [ - "ㄌㄧ2" - ], - "䔤": [ - "ㄆㄚ1" - ], - "䔧": [ - "ㄌㄧ2" - ], - "䔪": [ - "ㄕㄨㄤ3" - ], - "䔬": [ - "ㄧ4" - ], - "䔭": [ - "ㄋㄧㄥ4" - ], - "䔮": [ - "ㄙ1" - ], - "䔯": [ - "ㄎㄨ4" - ], - "䔰": [ - "ㄈㄨ4" - ], - "䔱": [ - "ㄧ1" - ], - "䔲": [ - "ㄉㄥ1", - "ㄔㄥ2" - ], - "䔳": [ - "ㄖㄢ2" - ], - "䔴": [ - "ㄘㄜ4", - "ㄘㄨㄟ4", - "ㄔㄨㄚ4" - ], - "䔶": [ - "ㄊㄧ2", - "ㄊㄞ2" - ], - "䔷": [ - "ㄑㄧㄣ2" - ], - "䔸": [ - "ㄅㄧㄠ3", - "ㄅㄧㄠ1" - ], - "䔹": [ - "ㄙㄨㄟ4" - ], - "䔺": [ - "ㄨㄟ2", - "ㄨㄟ3" - ], - "䔻": [ - "ㄉㄨㄣ1", - "ㄉㄨㄟ1" - ], - "䔼": [ - "ㄙㄜ4", - "ㄗㄜ2" - ], - "䔽": [ - "ㄞ4" - ], - "䔾": [ - "ㄑㄧ4", - "ㄜ4" - ], - "䔿": [ - "ㄗㄨㄣ3" - ], - "䕀": [ - "ㄎㄨㄢ3" - ], - "䕁": [ - "ㄈㄟ3" - ], - "䕃": [ - "ㄧㄣ4" - ], - "䕅": [ - "ㄙㄠ3" - ], - "䕆": [ - "ㄉㄡ4" - ], - "䕇": [ - "ㄏㄨㄟ4" - ], - "䕈": [ - "ㄒㄧㄝ4" - ], - "䕉": [ - "ㄗㄜ2" - ], - "䕊": [ - "ㄊㄢ2" - ], - "䕋": [ - "ㄊㄤ2" - ], - "䕌": [ - "ㄓ4" - ], - "䕍": [ - "ㄧ4" - ], - "䕎": [ - "ㄈㄨ2" - ], - "䕏": [ - "ㄜ2" - ], - "䕑": [ - "ㄐㄩㄣ4" - ], - "䕒": [ - "ㄐㄧㄚ1" - ], - "䕓": [ - "ㄔㄚ2", - "ㄔㄨㄟ4" - ], - "䕔": [ - "ㄒㄧㄢ2" - ], - "䕕": [ - "ㄇㄢ4" - ], - "䕗": [ - "ㄅㄧ4" - ], - "䕘": [ - "ㄌㄧㄥ2", - "ㄌㄧㄥ3" - ], - "䕙": [ - "ㄐㄧㄝ2" - ], - "䕚": [ - "ㄎㄨㄟ4" - ], - "䕛": [ - "ㄐㄧㄚ2" - ], - "䕝": [ - "ㄔㄥ1" - ], - "䕞": [ - "ㄌㄤ4" - ], - "䕟": [ - "ㄒㄧㄥ1" - ], - "䕠": [ - "ㄈㄟ4" - ], - "䕡": [ - "ㄌㄩ2" - ], - "䕢": [ - "ㄓㄚ3" - ], - "䕣": [ - "ㄏㄜ2" - ], - "䕤": [ - "ㄐㄧ1" - ], - "䕥": [ - "ㄋㄧ3" - ], - "䕦": [ - "ㄧㄥ2" - ], - "䕧": [ - "ㄒㄧㄠ4", - "ㄐㄧㄠ3" - ], - "䕨": [ - "ㄊㄥ2" - ], - "䕩": [ - "ㄌㄠ3" - ], - "䕪": [ - "ㄗㄜ2" - ], - "䕫": [ - "ㄎㄨㄟ2" - ], - "䕭": [ - "ㄑㄧㄢ2", - "ㄒㄧㄢ2" - ], - "䕮": [ - "ㄐㄩ2", - "ㄑㄩ1" - ], - "䕯": [ - "ㄆㄧㄠ2" - ], - "䕰": [ - "ㄈㄢ2" - ], - "䕱": [ - "ㄊㄡ2" - ], - "䕲": [ - "ㄌㄧㄣ3" - ], - "䕳": [ - "ㄇㄧ2" - ], - "䕴": [ - "ㄓㄨㄛ2" - ], - "䕵": [ - "ㄒㄧㄝ2" - ], - "䕶": [ - "ㄏㄨ4" - ], - "䕷": [ - "ㄇㄧ2" - ], - "䕸": [ - "ㄐㄧㄝ1" - ], - "䕹": [ - "ㄗㄚ2" - ], - "䕺": [ - "ㄘㄨㄥ2" - ], - "䕻": [ - "ㄌㄧ4" - ], - "䕼": [ - "ㄖㄢ2" - ], - "䕽": [ - "ㄓㄨ2" - ], - "䕾": [ - "ㄧㄣ2", - "ㄧㄢ2" - ], - "䕿": [ - "ㄏㄢ4" - ], - "䖁": [ - "ㄧ4" - ], - "䖂": [ - "ㄌㄨㄢ2" - ], - "䖃": [ - "ㄩㄝ4", - "ㄌㄚ3" - ], - "䖄": [ - "ㄖㄢ2" - ], - "䖅": [ - "ㄌㄧㄥ2" - ], - "䖆": [ - "ㄋㄧㄤ4" - ], - "䖇": [ - "ㄩ4" - ], - "䖈": [ - "ㄋㄩㄝ4" - ], - "䖊": [ - "ㄧ4" - ], - "䖋": [ - "ㄋㄩㄝ4" - ], - "䖌": [ - "ㄧ4" - ], - "䖍": [ - "ㄑㄧㄢ2" - ], - "䖎": [ - "ㄒㄧㄚ2" - ], - "䖏": [ - "ㄔㄨ3", - "ㄔㄨ4" - ], - "䖐": [ - "ㄧㄣ2" - ], - "䖑": [ - "ㄇㄧ4" - ], - "䖒": [ - "ㄒㄧ1" - ], - "䖓": [ - "ㄋㄚ4" - ], - "䖔": [ - "ㄎㄢ3", - "ㄏㄢ4" - ], - "䖕": [ - "ㄗㄨ3" - ], - "䖖": [ - "ㄒㄧㄚ2" - ], - "䖗": [ - "ㄧㄢ2" - ], - "䖘": [ - "ㄊㄨ2" - ], - "䖙": [ - "ㄊㄧ1" - ], - "䖚": [ - "ㄨ1" - ], - "䖛": [ - "ㄙㄨㄛ3" - ], - "䖜": [ - "ㄧㄣ2" - ], - "䖝": [ - "ㄔㄨㄥ2" - ], - "䖞": [ - "ㄓㄡ3" - ], - "䖟": [ - "ㄇㄤ3" - ], - "䖠": [ - "ㄩㄢ2" - ], - "䖡": [ - "ㄋㄩ4" - ], - "䖢": [ - "ㄇㄧㄠ2" - ], - "䖣": [ - "ㄗㄠ3" - ], - "䖤": [ - "ㄨㄢ3" - ], - "䖥": [ - "ㄌㄧ2" - ], - "䖦": [ - "ㄑㄩ1", - "ㄓㄨㄛ1" - ], - "䖧": [ - "ㄋㄚ4" - ], - "䖨": [ - "ㄕ2", - "ㄓ4" - ], - "䖩": [ - "ㄅㄧ4" - ], - "䖪": [ - "ㄗ1", - "ㄘ1" - ], - "䖫": [ - "ㄅㄤ4" - ], - "䖭": [ - "ㄐㄩㄢ4", - "ㄐㄩㄢ1" - ], - "䖮": [ - "ㄒㄧㄤ3" - ], - "䖯": [ - "ㄎㄨㄟ2", - "ㄨㄚ1" - ], - "䖰": [ - "ㄆㄞ4" - ], - "䖱": [ - "ㄎㄨㄤ1" - ], - "䖲": [ - "ㄒㄩㄣ2", - "ㄗㄨㄥ1" - ], - "䖳": [ - "ㄓㄚ4", - "ㄓㄜ2" - ], - "䖴": [ - "ㄧㄠ2" - ], - "䖵": [ - "ㄎㄨㄣ1" - ], - "䖶": [ - "ㄏㄨㄟ1" - ], - "䖷": [ - "ㄒㄧ1" - ], - "䖸": [ - "ㄜ2" - ], - "䖹": [ - "ㄧㄤ2", - "ㄇㄧ3" - ], - "䖺": [ - "ㄊㄧㄠ2" - ], - "䖻": [ - "ㄧㄡ2" - ], - "䖼": [ - "ㄐㄩㄝ2" - ], - "䖽": [ - "ㄌㄧ2" - ], - "䖿": [ - "ㄌㄧ2" - ], - "䗀": [ - "ㄔㄥ1" - ], - "䗁": [ - "ㄐㄧ4", - "ㄑㄧ1" - ], - "䗂": [ - "ㄏㄨ3" - ], - "䗃": [ - "ㄓㄢ4" - ], - "䗄": [ - "ㄈㄨ3" - ], - "䗅": [ - "ㄔㄤ2" - ], - "䗆": [ - "ㄍㄨㄢ3", - "ㄍㄨㄢ1" - ], - "䗇": [ - "ㄐㄩ2", - "ㄑㄩ1" - ], - "䗈": [ - "ㄇㄥ2" - ], - "䗉": [ - "ㄔㄤ1" - ], - "䗊": [ - "ㄊㄢ4" - ], - "䗋": [ - "ㄇㄡ2" - ], - "䗌": [ - "ㄒㄧㄥ1" - ], - "䗍": [ - "ㄌㄧ3", - "ㄌㄨㄛ2" - ], - "䗎": [ - "ㄧㄢ1" - ], - "䗏": [ - "ㄙㄡ1" - ], - "䗐": [ - "ㄕ1" - ], - "䗑": [ - "ㄧ4" - ], - "䗒": [ - "ㄅㄧㄥ4" - ], - "䗓": [ - "ㄘㄨㄥ1" - ], - "䗔": [ - "ㄏㄡ2", - "ㄏㄡ4" - ], - "䗕": [ - "ㄨㄢ3" - ], - "䗖": [ - "ㄉㄧ4" - ], - "䗗": [ - "ㄐㄧ1" - ], - "䗘": [ - "ㄍㄜ2" - ], - "䗙": [ - "ㄏㄢ2" - ], - "䗚": [ - "ㄅㄛ2" - ], - "䗛": [ - "ㄒㄧㄡ1" - ], - "䗜": [ - "ㄌㄧㄡ2" - ], - "䗝": [ - "ㄘㄢ2" - ], - "䗞": [ - "ㄘㄢ2" - ], - "䗟": [ - "ㄧ4" - ], - "䗠": [ - "ㄒㄩㄢ2" - ], - "䗡": [ - "ㄧㄢ2", - "ㄧㄢ1" - ], - "䗢": [ - "ㄗㄠ3" - ], - "䗣": [ - "ㄏㄢ4" - ], - "䗤": [ - "ㄩㄥ2" - ], - "䗥": [ - "ㄗㄨㄥ1" - ], - "䗧": [ - "ㄎㄤ1" - ], - "䗨": [ - "ㄩ2" - ], - "䗩": [ - "ㄑㄧ1" - ], - "䗪": [ - "ㄓㄜ4" - ], - "䗫": [ - "ㄇㄚ2" - ], - "䗮": [ - "ㄕㄨㄤ3" - ], - "䗯": [ - "ㄐㄧㄣ4" - ], - "䗰": [ - "ㄍㄨㄢ4" - ], - "䗱": [ - "ㄆㄨ2", - "ㄆㄨ4", - "ㄆㄨ3" - ], - "䗲": [ - "ㄌㄧㄣ4" - ], - "䗴": [ - "ㄊㄧㄥ2" - ], - "䗵": [ - "ㄐㄧㄤ1" - ], - "䗶": [ - "ㄌㄚ4" - ], - "䗷": [ - "ㄧ4" - ], - "䗸": [ - "ㄩㄥ1" - ], - "䗹": [ - "ㄘ4" - ], - "䗺": [ - "ㄧㄢ3", - "ㄉㄢ4" - ], - "䗻": [ - "ㄐㄧㄝ2" - ], - "䗼": [ - "ㄒㄩㄣ1" - ], - "䗽": [ - "ㄨㄟ4" - ], - "䗾": [ - "ㄒㄧㄢ3" - ], - "䗿": [ - "ㄋㄧㄥ2", - "ㄋㄧㄥ3" - ], - "䘀": [ - "ㄈㄨ4" - ], - "䘁": [ - "ㄍㄜ2" - ], - "䘃": [ - "ㄇㄛ4" - ], - "䘄": [ - "ㄓㄨ4" - ], - "䘅": [ - "ㄋㄞ2" - ], - "䘆": [ - "ㄒㄧㄢ3" - ], - "䘇": [ - "ㄨㄣ2" - ], - "䘈": [ - "ㄌㄧ4" - ], - "䘉": [ - "ㄘㄢ2" - ], - "䘊": [ - "ㄇㄧㄝ4" - ], - "䘋": [ - "ㄐㄧㄢ1" - ], - "䘌": [ - "ㄋㄧ4" - ], - "䘍": [ - "ㄔㄞ4" - ], - "䘎": [ - "ㄨㄢ1" - ], - "䘏": [ - "ㄒㄩ4" - ], - "䘐": [ - "ㄋㄩ4" - ], - "䘑": [ - "ㄇㄞ4" - ], - "䘒": [ - "ㄗㄨㄟ1" - ], - "䘓": [ - "ㄎㄢ4" - ], - "䘔": [ - "ㄎㄚ1" - ], - "䘕": [ - "ㄏㄤ2" - ], - "䘘": [ - "ㄩ4", - "ㄙㄨ4" - ], - "䘙": [ - "ㄨㄟ4" - ], - "䘚": [ - "ㄓㄨ2" - ], - "䘝": [ - "ㄧ4" - ], - "䘟": [ - "ㄉㄧㄠ1" - ], - "䘠": [ - "ㄈㄨ2" - ], - "䘡": [ - "ㄅㄧ3" - ], - "䘢": [ - "ㄓㄨ3" - ], - "䘣": [ - "ㄗ3", - "ㄓ4" - ], - "䘤": [ - "ㄕㄨ4" - ], - "䘥": [ - "ㄒㄧㄚ2", - "ㄐㄧㄚ2" - ], - "䘦": [ - "ㄋㄧ2", - "ㄋㄧ3" - ], - "䘨": [ - "ㄐㄧㄠ3" - ], - "䘩": [ - "ㄒㄩㄣ2", - "ㄒㄩㄢ4" - ], - "䘪": [ - "ㄔㄨㄥ1" - ], - "䘫": [ - "ㄋㄡ4" - ], - "䘬": [ - "ㄖㄨㄥ2" - ], - "䘭": [ - "ㄓ4" - ], - "䘮": [ - "ㄙㄤ1", - "ㄙㄤ4" - ], - "䘰": [ - "ㄕㄢ1" - ], - "䘱": [ - "ㄩ4" - ], - "䘳": [ - "ㄐㄧㄣ1" - ], - "䘵": [ - "ㄌㄨ4" - ], - "䘶": [ - "ㄏㄢ1", - "ㄏㄢ4" - ], - "䘷": [ - "ㄅㄧㄝ1" - ], - "䘸": [ - "ㄧ4" - ], - "䘹": [ - "ㄗㄨㄟ4", - "ㄘㄨㄟ4" - ], - "䘺": [ - "ㄓㄢ4" - ], - "䘻": [ - "ㄩ4" - ], - "䘼": [ - "ㄨㄢ3" - ], - "䘽": [ - "ㄋㄧ2" - ], - "䘾": [ - "ㄍㄨㄢ3", - "ㄍㄨㄢ4" - ], - "䘿": [ - "ㄐㄩㄝ2" - ], - "䙀": [ - "ㄅㄥ3" - ], - "䙁": [ - "ㄘㄢ2" - ], - "䙃": [ - "ㄉㄨㄛ4" - ], - "䙄": [ - "ㄑㄧ4", - "ㄓㄚ3" - ], - "䙅": [ - "ㄧㄠ1", - "ㄧㄠ4" - ], - "䙆": [ - "ㄎㄨㄟ4" - ], - "䙇": [ - "ㄖㄨㄢ2", - "ㄋㄨㄢ3" - ], - "䙈": [ - "ㄏㄡ2" - ], - "䙉": [ - "ㄒㄩㄣ2" - ], - "䙊": [ - "ㄒㄧㄝ4" - ], - "䙌": [ - "ㄎㄨㄟ4" - ], - "䙎": [ - "ㄒㄧㄝ2", - "ㄒㄧ4" - ], - "䙏": [ - "ㄅㄛ2" - ], - "䙐": [ - "ㄎㄜ4" - ], - "䙑": [ - "ㄘㄨㄟ1" - ], - "䙒": [ - "ㄒㄩ4" - ], - "䙓": [ - "ㄅㄞ3" - ], - "䙔": [ - "ㄡ1" - ], - "䙕": [ - "ㄗㄨㄥ3" - ], - "䙗": [ - "ㄊㄧ4" - ], - "䙘": [ - "ㄔㄨ3", - "ㄗㄨ2" - ], - "䙙": [ - "ㄔ2" - ], - "䙚": [ - "ㄋㄧㄠ3" - ], - "䙛": [ - "ㄍㄨㄢ4" - ], - "䙜": [ - "ㄈㄥ2" - ], - "䙝": [ - "ㄒㄧㄝ4" - ], - "䙞": [ - "ㄉㄥ1" - ], - "䙟": [ - "ㄨㄟ2" - ], - "䙠": [ - "ㄐㄩㄝ2" - ], - "䙡": [ - "ㄎㄨㄟ4", - "ㄏㄨㄟ4" - ], - "䙢": [ - "ㄗㄥ4" - ], - "䙣": [ - "ㄙㄚ4" - ], - "䙤": [ - "ㄉㄨㄛ3" - ], - "䙥": [ - "ㄌㄧㄥ2" - ], - "䙦": [ - "ㄇㄥ2" - ], - "䙨": [ - "ㄍㄨㄛ3" - ], - "䙩": [ - "ㄇㄥ2" - ], - "䙪": [ - "ㄌㄨㄥ2" - ], - "䙬": [ - "ㄧㄥ4" - ], - "䙮": [ - "ㄍㄨㄢ4" - ], - "䙯": [ - "ㄘㄨ4" - ], - "䙰": [ - "ㄌㄧ2" - ], - "䙱": [ - "ㄉㄨ2" - ], - "䙳": [ - "ㄅㄧㄠ1", - "ㄜ4" - ], - "䙴": [ - "ㄑㄧㄢ1" - ], - "䙵": [ - "ㄒㄧ1" - ], - "䙷": [ - "ㄉㄜ2" - ], - "䙸": [ - "ㄉㄜ2" - ], - "䙹": [ - "ㄒㄧㄢ4" - ], - "䙺": [ - "ㄌㄧㄢ2" - ], - "䙼": [ - "ㄕㄠ4", - "ㄐㄧㄠ1" - ], - "䙽": [ - "ㄒㄧㄝ2" - ], - "䙾": [ - "ㄕ1" - ], - "䙿": [ - "ㄨㄟ4" - ], - "䚂": [ - "ㄏㄜ4" - ], - "䚃": [ - "ㄧㄡ2" - ], - "䚄": [ - "ㄌㄨ4" - ], - "䚅": [ - "ㄌㄞ4", - "ㄌㄞ2" - ], - "䚆": [ - "ㄧㄥ3" - ], - "䚇": [ - "ㄕㄥ3" - ], - "䚈": [ - "ㄐㄩㄢ4" - ], - "䚉": [ - "ㄑㄧ4" - ], - "䚊": [ - "ㄐㄧㄢ3" - ], - "䚋": [ - "ㄩㄣ4" - ], - "䚍": [ - "ㄑㄧ4" - ], - "䚏": [ - "ㄌㄧㄣ4" - ], - "䚐": [ - "ㄐㄧ2" - ], - "䚑": [ - "ㄇㄞ2" - ], - "䚒": [ - "ㄔㄨㄤ2", - "ㄓㄨㄤ4" - ], - "䚓": [ - "ㄋㄧㄢ3" - ], - "䚔": [ - "ㄅㄧㄣ1" - ], - "䚕": [ - "ㄌㄧ4" - ], - "䚖": [ - "ㄌㄧㄥ2" - ], - "䚗": [ - "ㄍㄤ1" - ], - "䚘": [ - "ㄔㄥ2" - ], - "䚙": [ - "ㄒㄩㄢ1", - "ㄒㄧ1" - ], - "䚚": [ - "ㄒㄧㄢ3" - ], - "䚛": [ - "ㄏㄨ2" - ], - "䚜": [ - "ㄅㄧ1", - "ㄅㄟ1" - ], - "䚝": [ - "ㄗㄨ2" - ], - "䚞": [ - "ㄉㄞ3" - ], - "䚟": [ - "ㄉㄞ3" - ], - "䚠": [ - "ㄏㄨㄣ4", - "ㄏㄨㄣ2" - ], - "䚡": [ - "ㄙㄞ1" - ], - "䚢": [ - "ㄔㄜ4" - ], - "䚣": [ - "ㄊㄧ2" - ], - "䚥": [ - "ㄋㄨㄛ4", - "ㄖㄨㄛ4" - ], - "䚦": [ - "ㄓ4" - ], - "䚧": [ - "ㄌㄧㄡ2" - ], - "䚨": [ - "ㄈㄟ4" - ], - "䚩": [ - "ㄐㄧㄠ3", - "ㄐㄧㄠ4", - "ㄑㄧㄠ2" - ], - "䚪": [ - "ㄍㄨㄢ1" - ], - "䚫": [ - "ㄒㄧ2", - "ㄠ2" - ], - "䚬": [ - "ㄌㄧㄣ2" - ], - "䚭": [ - "ㄒㄩㄢ1" - ], - "䚮": [ - "ㄖㄥ2" - ], - "䚯": [ - "ㄊㄠ3", - "ㄒㄩㄢ1" - ], - "䚰": [ - "ㄆㄧ3", - "ㄜ2" - ], - "䚱": [ - "ㄒㄧㄣ4" - ], - "䚲": [ - "ㄕㄢ4" - ], - "䚳": [ - "ㄓ4" - ], - "䚴": [ - "ㄨㄚ4" - ], - "䚵": [ - "ㄊㄡ3" - ], - "䚶": [ - "ㄊㄧㄢ1" - ], - "䚷": [ - "ㄧ1", - "ㄧ3", - "ㄒㄧ4" - ], - "䚸": [ - "ㄒㄧㄝ4" - ], - "䚹": [ - "ㄆㄧ3" - ], - "䚺": [ - "ㄧㄠ2" - ], - "䚻": [ - "ㄧㄠ2", - "ㄧㄡ2" - ], - "䚼": [ - "ㄋㄩ4" - ], - "䚽": [ - "ㄏㄠ4" - ], - "䚾": [ - "ㄖㄣ2", - "ㄋㄧㄣ2" - ], - "䚿": [ - "ㄧㄣ4", - "ㄒㄧ1" - ], - "䛀": [ - "ㄈㄢ3", - "ㄈㄢ4", - "ㄅㄢ4" - ], - "䛁": [ - "ㄋㄢ2" - ], - "䛂": [ - "ㄧㄠ1" - ], - "䛃": [ - "ㄨㄢ4" - ], - "䛄": [ - "ㄩㄢ3" - ], - "䛅": [ - "ㄒㄧㄚ2" - ], - "䛆": [ - "ㄓㄡ4" - ], - "䛇": [ - "ㄩㄢ3" - ], - "䛈": [ - "ㄕ4" - ], - "䛉": [ - "ㄇㄧㄢ4" - ], - "䛊": [ - "ㄒㄧ1", - "ㄓ1" - ], - "䛋": [ - "ㄐㄧ4" - ], - "䛌": [ - "ㄊㄠ2", - "ㄆㄠ2" - ], - "䛍": [ - "ㄈㄟ4" - ], - "䛎": [ - "ㄒㄩㄝ4" - ], - "䛏": [ - "ㄋㄧ2", - "ㄋㄧ3", - "ㄋㄧ4" - ], - "䛐": [ - "ㄘ2" - ], - "䛑": [ - "ㄇㄧ4" - ], - "䛒": [ - "ㄅㄧㄢ4" - ], - "䛔": [ - "ㄋㄚ2" - ], - "䛕": [ - "ㄩ4" - ], - "䛖": [ - "ㄜ4" - ], - "䛗": [ - "ㄓ3" - ], - "䛘": [ - "ㄖㄣ2", - "ㄋㄧㄣ2" - ], - "䛙": [ - "ㄒㄩ4" - ], - "䛚": [ - "ㄌㄩㄝ4" - ], - "䛛": [ - "ㄏㄨㄟ4" - ], - "䛜": [ - "ㄒㄩㄣ4" - ], - "䛝": [ - "ㄋㄠ2" - ], - "䛞": [ - "ㄏㄢ4" - ], - "䛟": [ - "ㄐㄧㄚ2" - ], - "䛠": [ - "ㄉㄡ4" - ], - "䛡": [ - "ㄏㄨㄚ4" - ], - "䛢": [ - "ㄊㄨ1" - ], - "䛣": [ - "ㄆㄧㄥ1", - "ㄔㄡ1" - ], - "䛤": [ - "ㄘㄨ4" - ], - "䛥": [ - "ㄒㄧ1", - "ㄒㄧ4", - "ㄒㄧㄣ1" - ], - "䛦": [ - "ㄙㄨㄥ4" - ], - "䛧": [ - "ㄇㄧ2" - ], - "䛨": [ - "ㄒㄧㄣ4" - ], - "䛩": [ - "ㄨ4", - "ㄑㄧㄚ4", - "ㄜ4" - ], - "䛪": [ - "ㄑㄩㄥ2" - ], - "䛫": [ - "ㄓㄤ1", - "ㄓㄥ4" - ], - "䛬": [ - "ㄊㄠ2" - ], - "䛭": [ - "ㄒㄧㄥ4" - ], - "䛮": [ - "ㄐㄧㄡ4" - ], - "䛯": [ - "ㄐㄩ4" - ], - "䛰": [ - "ㄏㄨㄣ4" - ], - "䛱": [ - "ㄊㄧ2" - ], - "䛲": [ - "ㄇㄢ2" - ], - "䛳": [ - "ㄧㄢ4", - "ㄧㄢ1" - ], - "䛴": [ - "ㄐㄧ1", - "ㄑㄧ3" - ], - "䛵": [ - "ㄕㄡ4" - ], - "䛶": [ - "ㄌㄟ3" - ], - "䛷": [ - "ㄨㄢ3" - ], - "䛸": [ - "ㄔㄜ4" - ], - "䛹": [ - "ㄘㄢ4", - "ㄒㄩㄢ4" - ], - "䛺": [ - "ㄐㄧㄝ4" - ], - "䛻": [ - "ㄧㄡ4" - ], - "䛼": [ - "ㄏㄨㄟ3" - ], - "䛽": [ - "ㄓㄚ3", - "ㄔㄚ1", - "ㄙㄚ4" - ], - "䛾": [ - "ㄙㄨ4" - ], - "䛿": [ - "ㄍㄜ2" - ], - "䜀": [ - "ㄋㄠ3" - ], - "䜁": [ - "ㄒㄧ4" - ], - "䜃": [ - "ㄉㄨㄟ1" - ], - "䜄": [ - "ㄔ2" - ], - "䜅": [ - "ㄨㄟ2", - "ㄔㄨㄟ1" - ], - "䜆": [ - "ㄓㄜ2", - "ㄋㄧㄝ4", - "ㄇㄛ4" - ], - "䜇": [ - "ㄍㄨㄣ3", - "ㄍㄨㄣ4" - ], - "䜈": [ - "ㄔㄠ1", - "ㄓㄠ1" - ], - "䜉": [ - "ㄔ1" - ], - "䜊": [ - "ㄗㄠ1", - "ㄗㄠ4" - ], - "䜋": [ - "ㄏㄨㄟ4" - ], - "䜌": [ - "ㄌㄨㄢ2" - ], - "䜍": [ - "ㄌㄧㄠ2" - ], - "䜎": [ - "ㄌㄠ2", - "ㄌㄠ4" - ], - "䜏": [ - "ㄊㄨㄛ1" - ], - "䜐": [ - "ㄏㄨㄟ1" - ], - "䜑": [ - "ㄨ4" - ], - "䜒": [ - "ㄠ4" - ], - "䜓": [ - "ㄕㄜ4" - ], - "䜔": [ - "ㄙㄨㄟ2" - ], - "䜕": [ - "ㄇㄞ4", - "ㄏㄞ4" - ], - "䜖": [ - "ㄊㄢ4" - ], - "䜗": [ - "ㄒㄧㄣ4", - "ㄏㄢ4" - ], - "䜘": [ - "ㄐㄧㄥ3" - ], - "䜙": [ - "ㄢ2", - "ㄜ4" - ], - "䜚": [ - "ㄊㄚ4" - ], - "䜛": [ - "ㄔㄢ2" - ], - "䜜": [ - "ㄨㄟ4" - ], - "䜝": [ - "ㄊㄨㄢ3" - ], - "䜞": [ - "ㄐㄧ4" - ], - "䜟": [ - "ㄔㄣ2" - ], - "䜠": [ - "ㄔㄜ4" - ], - "䜡": [ - "ㄩ4" - ], - "䜢": [ - "ㄒㄧㄢ3" - ], - "䜣": [ - "ㄒㄧㄣ1" - ], - "䜧": [ - "ㄋㄠ3" - ], - "䜩": [ - "ㄧㄢ4" - ], - "䜪": [ - "ㄑㄧㄡ2" - ], - "䜫": [ - "ㄐㄧㄤ1", - "ㄏㄨㄥ2" - ], - "䜬": [ - "ㄙㄨㄥ3" - ], - "䜭": [ - "ㄐㄩㄣ4", - "ㄖㄨㄟ4" - ], - "䜮": [ - "ㄌㄧㄠ2", - "ㄌㄠ2" - ], - "䜯": [ - "ㄐㄩ2" - ], - "䜱": [ - "ㄇㄢ3" - ], - "䜲": [ - "ㄌㄧㄝ4" - ], - "䜴": [ - "ㄔㄨ4", - "ㄕ4" - ], - "䜵": [ - "ㄔ3" - ], - "䜶": [ - "ㄒㄧㄤ2" - ], - "䜷": [ - "ㄑㄧㄣ1" - ], - "䜸": [ - "ㄇㄟ3", - "ㄇㄟ2" - ], - "䜹": [ - "ㄕㄨ4" - ], - "䜺": [ - "ㄔㄞ3", - "ㄘㄜ4" - ], - "䜻": [ - "ㄔ3" - ], - "䜼": [ - "ㄍㄨ2", - "ㄇㄡ2" - ], - "䜽": [ - "ㄩ2" - ], - "䜾": [ - "ㄧㄣ1" - ], - "䝀": [ - "ㄌㄧㄡ2", - "ㄌㄧㄠ2" - ], - "䝁": [ - "ㄌㄠ2" - ], - "䝂": [ - "ㄕㄨ4" - ], - "䝃": [ - "ㄓㄜ2" - ], - "䝄": [ - "ㄕㄨㄤ1" - ], - "䝅": [ - "ㄏㄨㄟ1" - ], - "䝈": [ - "ㄜ4" - ], - "䝊": [ - "ㄕㄚ4" - ], - "䝋": [ - "ㄗㄨㄥ4" - ], - "䝌": [ - "ㄐㄩㄝ2" - ], - "䝍": [ - "ㄐㄩㄣ4", - "ㄐㄩㄣ1" - ], - "䝎": [ - "ㄊㄨㄢ1" - ], - "䝏": [ - "ㄌㄡ2" - ], - "䝐": [ - "ㄨㄟ2", - "ㄉㄨㄛ4" - ], - "䝑": [ - "ㄔㄨㄥ1" - ], - "䝒": [ - "ㄓㄨ4" - ], - "䝓": [ - "ㄌㄧㄝ4" - ], - "䝕": [ - "ㄓㄜ2" - ], - "䝖": [ - "ㄓㄠ3" - ], - "䝘": [ - "ㄧ4" - ], - "䝙": [ - "ㄔㄨ1" - ], - "䝚": [ - "ㄋㄧ2" - ], - "䝛": [ - "ㄅㄛ1" - ], - "䝜": [ - "ㄙㄨㄢ1" - ], - "䝝": [ - "ㄧ3" - ], - "䝞": [ - "ㄏㄠ4" - ], - "䝟": [ - "ㄧㄚ4" - ], - "䝠": [ - "ㄏㄨㄢ2" - ], - "䝡": [ - "ㄇㄢ4" - ], - "䝢": [ - "ㄇㄢ4" - ], - "䝣": [ - "ㄑㄩ2" - ], - "䝤": [ - "ㄌㄠ3", - "ㄌㄧㄠ2" - ], - "䝥": [ - "ㄏㄠ2" - ], - "䝦": [ - "ㄓㄨㄥ1" - ], - "䝧": [ - "ㄇㄧㄣ2" - ], - "䝨": [ - "ㄒㄧㄢ2" - ], - "䝩": [ - "ㄓㄣ4" - ], - "䝪": [ - "ㄕㄨ3" - ], - "䝫": [ - "ㄗㄨㄛ2" - ], - "䝬": [ - "ㄓㄨ4" - ], - "䝭": [ - "ㄍㄡ4" - ], - "䝮": [ - "ㄒㄩㄢ4" - ], - "䝯": [ - "ㄧ4" - ], - "䝰": [ - "ㄓ4" - ], - "䝱": [ - "ㄒㄧㄝ2" - ], - "䝲": [ - "ㄐㄧㄣ4" - ], - "䝳": [ - "ㄘㄢ2", - "ㄏㄞ4" - ], - "䝵": [ - "ㄅㄨ4" - ], - "䝶": [ - "ㄌㄧㄤ2" - ], - "䝷": [ - "ㄓ1", - "ㄓ4" - ], - "䝸": [ - "ㄐㄧ4" - ], - "䝹": [ - "ㄨㄢ3" - ], - "䝺": [ - "ㄍㄨㄢ4" - ], - "䝻": [ - "ㄐㄩ1" - ], - "䝼": [ - "ㄐㄧㄥ4", - "ㄑㄧㄥ2" - ], - "䝽": [ - "ㄞ4" - ], - "䝾": [ - "ㄈㄨ4" - ], - "䝿": [ - "ㄍㄨㄟ4" - ], - "䞀": [ - "ㄏㄡ4" - ], - "䞁": [ - "ㄧㄢ4" - ], - "䞂": [ - "ㄖㄨㄢ3" - ], - "䞃": [ - "ㄓ4" - ], - "䞄": [ - "ㄅㄧㄠ4" - ], - "䞅": [ - "ㄧ2" - ], - "䞆": [ - "ㄙㄨㄛ3" - ], - "䞇": [ - "ㄉㄧㄝ2" - ], - "䞈": [ - "ㄍㄨㄟ4" - ], - "䞉": [ - "ㄕㄥ4" - ], - "䞊": [ - "ㄒㄩㄣ4" - ], - "䞋": [ - "ㄔㄣ4" - ], - "䞌": [ - "ㄕㄜ2" - ], - "䞍": [ - "ㄑㄧㄥ2" - ], - "䞐": [ - "ㄔㄨㄣ3" - ], - "䞑": [ - "ㄏㄨㄥ2" - ], - "䞒": [ - "ㄉㄨㄥ4" - ], - "䞓": [ - "ㄔㄥ1" - ], - "䞔": [ - "ㄨㄟ3" - ], - "䞕": [ - "ㄖㄨ2", - "ㄩ2" - ], - "䞖": [ - "ㄕㄨ3" - ], - "䞗": [ - "ㄘㄞ1", - "ㄔㄞ1" - ], - "䞘": [ - "ㄐㄧ2" - ], - "䞙": [ - "ㄗㄚ2" - ], - "䞚": [ - "ㄑㄧ2", - "ㄎㄨㄟ2" - ], - "䞛": [ - "ㄧㄢ1" - ], - "䞜": [ - "ㄈㄨ4" - ], - "䞝": [ - "ㄩ4" - ], - "䞞": [ - "ㄈㄨ2" - ], - "䞟": [ - "ㄆㄛ4" - ], - "䞠": [ - "ㄓ1" - ], - "䞡": [ - "ㄊㄢ3" - ], - "䞢": [ - "ㄗㄨㄛ2" - ], - "䞣": [ - "ㄔㄜ3", - "ㄔㄜ4", - "ㄑㄧㄝ4" - ], - "䞤": [ - "ㄑㄩ2", - "ㄈㄨ3", - "ㄑㄩ3" - ], - "䞥": [ - "ㄧㄡ4" - ], - "䞦": [ - "ㄏㄜ2" - ], - "䞧": [ - "ㄏㄡ4" - ], - "䞨": [ - "ㄍㄨㄟ3" - ], - "䞩": [ - "ㄜ4", - "ㄒㄧㄚ2" - ], - "䞪": [ - "ㄐㄧㄤ4" - ], - "䞫": [ - "ㄩㄣ3" - ], - "䞬": [ - "ㄊㄡ4" - ], - "䞭": [ - "ㄘㄨㄣ1", - "ㄑㄧㄡ3" - ], - "䞮": [ - "ㄊㄨ1" - ], - "䞯": [ - "ㄈㄨ4", - "ㄈㄨ2" - ], - "䞰": [ - "ㄗㄨㄛ2" - ], - "䞱": [ - "ㄏㄨ2" - ], - "䞳": [ - "ㄅㄛ2" - ], - "䞴": [ - "ㄓㄠ1" - ], - "䞵": [ - "ㄐㄩㄝ3", - "ㄓㄨㄛ4" - ], - "䞶": [ - "ㄊㄤ1", - "ㄊㄤ4" - ], - "䞷": [ - "ㄐㄩㄝ2" - ], - "䞸": [ - "ㄈㄨ4" - ], - "䞹": [ - "ㄏㄨㄤ2" - ], - "䞺": [ - "ㄔㄨㄣ1" - ], - "䞻": [ - "ㄩㄥ3" - ], - "䞼": [ - "ㄔㄨㄟ3" - ], - "䞽": [ - "ㄙㄨㄛ3" - ], - "䞾": [ - "ㄔ2", - "ㄉㄧ4" - ], - "䞿": [ - "ㄑㄧㄢ1" - ], - "䟀": [ - "ㄘㄞ1" - ], - "䟁": [ - "ㄒㄧㄠ1", - "ㄔㄠ1" - ], - "䟂": [ - "ㄇㄢ2" - ], - "䟃": [ - "ㄘㄢ1", - "ㄘㄚ4" - ], - "䟄": [ - "ㄑㄧ4", - "ㄗㄨㄛ2", - "ㄗㄜ4" - ], - "䟅": [ - "ㄐㄧㄢ4", - "ㄗㄢ4" - ], - "䟆": [ - "ㄅㄧ4" - ], - "䟇": [ - "ㄐㄧ1", - "ㄒㄧ1" - ], - "䟈": [ - "ㄓ2" - ], - "䟉": [ - "ㄓㄨ2", - "ㄕㄨ3" - ], - "䟊": [ - "ㄑㄩ2" - ], - "䟋": [ - "ㄓㄢ3" - ], - "䟌": [ - "ㄐㄧ2" - ], - "䟍": [ - "ㄅㄧㄢ1", - "ㄉㄧㄢ2" - ], - "䟏": [ - "ㄌㄧ4" - ], - "䟐": [ - "ㄌㄧ4" - ], - "䟑": [ - "ㄩㄝ4" - ], - "䟒": [ - "ㄑㄩㄢ2" - ], - "䟓": [ - "ㄔㄥ1", - "ㄓㄥ1", - "ㄉㄧㄥ1" - ], - "䟔": [ - "ㄈㄨ4", - "ㄅㄛ2" - ], - "䟕": [ - "ㄔㄚ4" - ], - "䟖": [ - "ㄊㄤ4" - ], - "䟗": [ - "ㄕ4" - ], - "䟘": [ - "ㄏㄤ4" - ], - "䟙": [ - "ㄑㄧㄝ4" - ], - "䟚": [ - "ㄑㄧ2" - ], - "䟛": [ - "ㄅㄛ2", - "ㄈㄟ4", - "ㄅㄟ4" - ], - "䟜": [ - "ㄋㄚ4" - ], - "䟝": [ - "ㄊㄡ4" - ], - "䟞": [ - "ㄔㄨ2" - ], - "䟟": [ - "ㄘㄨ4" - ], - "䟠": [ - "ㄩㄝ4" - ], - "䟡": [ - "ㄓ1", - "ㄉㄧ4" - ], - "䟢": [ - "ㄔㄣ2" - ], - "䟣": [ - "ㄔㄨ4" - ], - "䟤": [ - "ㄅㄧ4", - "ㄅㄧㄝ2" - ], - "䟥": [ - "ㄇㄥ2" - ], - "䟦": [ - "ㄅㄚ2" - ], - "䟧": [ - "ㄊㄧㄢ2" - ], - "䟨": [ - "ㄇㄧㄣ2", - "ㄇㄧㄣ3" - ], - "䟩": [ - "ㄌㄧㄝ3", - "ㄑㄩㄝ4" - ], - "䟪": [ - "ㄈㄥ3", - "ㄈㄢ3" - ], - "䟫": [ - "ㄔㄥ1", - "ㄕㄤ4" - ], - "䟬": [ - "ㄑㄧㄡ4" - ], - "䟭": [ - "ㄊㄧㄠ2", - "ㄗㄨㄛ4" - ], - "䟮": [ - "ㄈㄨ2", - "ㄅㄛ2" - ], - "䟯": [ - "ㄎㄨㄛ4" - ], - "䟰": [ - "ㄐㄧㄢ3" - ], - "䟴": [ - "ㄓㄣ4" - ], - "䟵": [ - "ㄑㄧㄡ2" - ], - "䟶": [ - "ㄗㄨㄛ4", - "ㄘㄨㄛ4" - ], - "䟷": [ - "ㄔ4", - "ㄑㄧ4" - ], - "䟸": [ - "ㄎㄨㄟ2", - "ㄍㄨㄟ1" - ], - "䟹": [ - "ㄌㄧㄝ4" - ], - "䟺": [ - "ㄅㄟ4", - "ㄆㄟ4" - ], - "䟻": [ - "ㄉㄨ4", - "ㄓㄚ4" - ], - "䟼": [ - "ㄨ3" - ], - "䟾": [ - "ㄓㄨㄛ2", - "ㄐㄩㄝ3" - ], - "䟿": [ - "ㄌㄨ4" - ], - "䠀": [ - "ㄊㄤ1", - "ㄔㄤ3", - "ㄊㄤ4" - ], - "䠂": [ - "ㄔㄨ2" - ], - "䠃": [ - "ㄌㄧㄤ3" - ], - "䠄": [ - "ㄊㄧㄢ3" - ], - "䠅": [ - "ㄎㄨㄣ3" - ], - "䠆": [ - "ㄔㄤ2" - ], - "䠇": [ - "ㄐㄩㄝ2" - ], - "䠈": [ - "ㄊㄨ2" - ], - "䠉": [ - "ㄏㄨㄢ4" - ], - "䠊": [ - "ㄈㄟ4" - ], - "䠋": [ - "ㄅㄧ4", - "ㄅㄧ3", - "ㄅㄞ1" - ], - "䠍": [ - "ㄒㄧㄚ1", - "ㄑㄧㄚ2", - "ㄑㄧㄝ2" - ], - "䠎": [ - "ㄨㄛ4" - ], - "䠏": [ - "ㄐㄧ4", - "ㄎㄨㄟ2" - ], - "䠐": [ - "ㄑㄩ4" - ], - "䠑": [ - "ㄎㄨㄟ3", - "ㄎㄨㄟ2", - "ㄨㄟ3" - ], - "䠒": [ - "ㄏㄨ2" - ], - "䠓": [ - "ㄑㄧㄡ1", - "ㄘㄨ4" - ], - "䠔": [ - "ㄙㄨㄟ4" - ], - "䠕": [ - "ㄘㄞ1" - ], - "䠗": [ - "ㄑㄧㄡ4", - "ㄒㄩㄥ4" - ], - "䠘": [ - "ㄆㄧ4" - ], - "䠙": [ - "ㄆㄤ2" - ], - "䠚": [ - "ㄨㄚ4", - "ㄨㄚ3" - ], - "䠛": [ - "ㄧㄠ2" - ], - "䠜": [ - "ㄖㄨㄥ2", - "ㄖㄨㄥ3" - ], - "䠝": [ - "ㄒㄩㄣ1" - ], - "䠞": [ - "ㄘㄨ4" - ], - "䠟": [ - "ㄉㄧㄝ2" - ], - "䠠": [ - "ㄔ4", - "ㄉㄞ4" - ], - "䠡": [ - "ㄘㄨㄛ2", - "ㄔㄚ2" - ], - "䠢": [ - "ㄇㄥ4" - ], - "䠣": [ - "ㄒㄩㄢ3" - ], - "䠤": [ - "ㄉㄨㄛ3", - "ㄉㄨㄛ4" - ], - "䠥": [ - "ㄅㄧㄝ2" - ], - "䠦": [ - "ㄓㄜ4" - ], - "䠧": [ - "ㄔㄨ2" - ], - "䠨": [ - "ㄔㄢ4" - ], - "䠩": [ - "ㄍㄨㄟ4" - ], - "䠪": [ - "ㄉㄨㄢ4" - ], - "䠫": [ - "ㄗㄡ4" - ], - "䠬": [ - "ㄉㄥ4" - ], - "䠭": [ - "ㄌㄞ2" - ], - "䠮": [ - "ㄊㄥ2" - ], - "䠯": [ - "ㄩㄝ4" - ], - "䠰": [ - "ㄑㄩㄢ2" - ], - "䠱": [ - "ㄓㄨ2" - ], - "䠲": [ - "ㄌㄧㄥ2" - ], - "䠳": [ - "ㄔㄣ1" - ], - "䠴": [ - "ㄓㄣ3" - ], - "䠵": [ - "ㄈㄨ4" - ], - "䠶": [ - "ㄕㄜ4" - ], - "䠷": [ - "ㄊㄧㄠ3" - ], - "䠸": [ - "ㄎㄨㄚ1" - ], - "䠹": [ - "ㄞ2" - ], - "䠻": [ - "ㄑㄩㄥ2" - ], - "䠼": [ - "ㄕㄨ4" - ], - "䠽": [ - "ㄏㄞ2", - "ㄎㄞ3" - ], - "䠾": [ - "ㄕㄢ3" - ], - "䠿": [ - "ㄨㄞ4", - "ㄎㄨㄟ4" - ], - "䡀": [ - "ㄓㄢ3", - "ㄓㄢ4" - ], - "䡁": [ - "ㄌㄨㄥ3" - ], - "䡂": [ - "ㄐㄧㄡ1", - "ㄐㄧㄡ4" - ], - "䡃": [ - "ㄌㄧ4" - ], - "䡅": [ - "ㄔㄨㄣ1", - "ㄒㄩㄣ2" - ], - "䡆": [ - "ㄖㄨㄥ2" - ], - "䡇": [ - "ㄩㄝ4" - ], - "䡈": [ - "ㄐㄩㄝ2", - "ㄐㄧㄠ4" - ], - "䡉": [ - "ㄎㄤ3" - ], - "䡊": [ - "ㄈㄢ3" - ], - "䡋": [ - "ㄑㄧ2" - ], - "䡌": [ - "ㄏㄨㄥ2" - ], - "䡍": [ - "ㄈㄨ2" - ], - "䡎": [ - "ㄌㄨ2" - ], - "䡏": [ - "ㄏㄨㄥ2" - ], - "䡐": [ - "ㄊㄨㄛ2" - ], - "䡑": [ - "ㄇㄧㄣ2" - ], - "䡒": [ - "ㄊㄧㄢ2" - ], - "䡓": [ - "ㄐㄩㄢ4", - "ㄒㄩㄢ1" - ], - "䡔": [ - "ㄑㄧ3" - ], - "䡕": [ - "ㄓㄥ3" - ], - "䡖": [ - "ㄑㄧㄥ4" - ], - "䡗": [ - "ㄍㄨㄥ3", - "ㄍㄨㄥ4" - ], - "䡘": [ - "ㄊㄧㄢ2" - ], - "䡙": [ - "ㄌㄤ2" - ], - "䡚": [ - "ㄇㄠ4" - ], - "䡛": [ - "ㄧㄣ4" - ], - "䡜": [ - "ㄌㄨ4" - ], - "䡝": [ - "ㄩㄢ1", - "ㄩㄣ3" - ], - "䡞": [ - "ㄐㄩ2" - ], - "䡟": [ - "ㄆㄧ4" - ], - "䡡": [ - "ㄒㄧㄝ2" - ], - "䡢": [ - "ㄅㄧㄢ4" - ], - "䡣": [ - "ㄏㄨㄣ1", - "ㄒㄩㄢ1" - ], - "䡤": [ - "ㄓㄨ1" - ], - "䡥": [ - "ㄖㄨㄥ2" - ], - "䡦": [ - "ㄙㄤ3" - ], - "䡧": [ - "ㄨ1", - "ㄨ3" - ], - "䡨": [ - "ㄔㄚ4" - ], - "䡩": [ - "ㄎㄥ1", - "ㄓㄣ3" - ], - "䡪": [ - "ㄕㄢ4" - ], - "䡫": [ - "ㄆㄥ2" - ], - "䡬": [ - "ㄇㄢ4" - ], - "䡭": [ - "ㄒㄧㄡ1" - ], - "䡯": [ - "ㄘㄨㄥ1", - "ㄗㄨㄥ3" - ], - "䡰": [ - "ㄎㄥ1", - "ㄎㄥ3", - "ㄍㄨ3" - ], - "䡱": [ - "ㄓㄨㄢ3" - ], - "䡲": [ - "ㄔㄢ2", - "ㄉㄢ1" - ], - "䡳": [ - "ㄙ1" - ], - "䡴": [ - "ㄔㄨㄥ1" - ], - "䡵": [ - "ㄙㄨㄟ4" - ], - "䡶": [ - "ㄅㄟ4" - ], - "䡷": [ - "ㄎㄞ4", - "ㄎㄜ3" - ], - "䡹": [ - "ㄓ4" - ], - "䡺": [ - "ㄨㄟ4" - ], - "䡻": [ - "ㄇㄧㄣ2" - ], - "䡼": [ - "ㄌㄧㄥ2" - ], - "䡽": [ - "ㄗㄨㄢ1" - ], - "䡾": [ - "ㄋㄧㄝ4", - "ㄧㄝ4", - "ㄧ3" - ], - "䡿": [ - "ㄌㄧㄥ2" - ], - "䢀": [ - "ㄑㄧ4" - ], - "䢁": [ - "ㄩㄝ4" - ], - "䢃": [ - "ㄧ4" - ], - "䢄": [ - "ㄒㄧ3" - ], - "䢅": [ - "ㄔㄣ2" - ], - "䢇": [ - "ㄖㄨㄥ3" - ], - "䢈": [ - "ㄔㄣ2", - "ㄏㄨㄟ4" - ], - "䢉": [ - "ㄋㄨㄥ2" - ], - "䢊": [ - "ㄧㄡ2" - ], - "䢋": [ - "ㄐㄧ4" - ], - "䢌": [ - "ㄅㄛ2" - ], - "䢍": [ - "ㄈㄤ3" - ], - "䢐": [ - "ㄘㄨ2" - ], - "䢑": [ - "ㄉㄧ3", - "ㄉㄧ4" - ], - "䢒": [ - "ㄐㄧㄠ1" - ], - "䢓": [ - "ㄩ2" - ], - "䢔": [ - "ㄏㄜ2" - ], - "䢕": [ - "ㄒㄩ4" - ], - "䢖": [ - "ㄩ4", - "ㄌㄩ4" - ], - "䢗": [ - "ㄑㄩ1" - ], - "䢙": [ - "ㄅㄞ4" - ], - "䢚": [ - "ㄍㄥ1", - "ㄏㄤ2" - ], - "䢛": [ - "ㄐㄩㄥ3" - ], - "䢝": [ - "ㄧㄚ4" - ], - "䢞": [ - "ㄕㄨ4" - ], - "䢟": [ - "ㄧㄡ2" - ], - "䢠": [ - "ㄙㄨㄥ4" - ], - "䢡": [ - "ㄧㄝ4", - "ㄒㄧㄝ4", - "ㄓㄨㄟ4" - ], - "䢢": [ - "ㄘㄤ4" - ], - "䢣": [ - "ㄧㄠ2" - ], - "䢤": [ - "ㄕㄨ4" - ], - "䢥": [ - "ㄧㄢ2" - ], - "䢦": [ - "ㄕㄨㄞ4" - ], - "䢧": [ - "ㄌㄧㄠ4" - ], - "䢨": [ - "ㄘㄨㄥ1", - "ㄗㄨㄥ1" - ], - "䢩": [ - "ㄩ4" - ], - "䢪": [ - "ㄅㄛ2" - ], - "䢫": [ - "ㄙㄨㄟ2" - ], - "䢭": [ - "ㄧㄢ4", - "ㄒㄧㄢ4" - ], - "䢮": [ - "ㄌㄟ4" - ], - "䢯": [ - "ㄌㄧㄣ2" - ], - "䢰": [ - "ㄊㄧ1" - ], - "䢱": [ - "ㄉㄨ2" - ], - "䢲": [ - "ㄩㄝ4" - ], - "䢳": [ - "ㄐㄧ3" - ], - "䢵": [ - "ㄩㄣ2" - ], - "䢸": [ - "ㄐㄩ1" - ], - "䢹": [ - "ㄐㄩ3", - "ㄑㄩ2" - ], - "䢺": [ - "ㄔㄨ1" - ], - "䢻": [ - "ㄔㄣ2" - ], - "䢼": [ - "ㄍㄨㄥ1" - ], - "䢽": [ - "ㄒㄧㄤ4" - ], - "䢾": [ - "ㄒㄧㄢ3" - ], - "䢿": [ - "ㄢ1" - ], - "䣀": [ - "ㄍㄨㄟ3", - "ㄑㄧ1", - "ㄨㄟ2" - ], - "䣁": [ - "ㄩ3" - ], - "䣂": [ - "ㄌㄟ3" - ], - "䣄": [ - "ㄊㄨ2" - ], - "䣅": [ - "ㄔㄣ2" - ], - "䣆": [ - "ㄒㄧㄥ2" - ], - "䣇": [ - "ㄑㄧㄡ2" - ], - "䣈": [ - "ㄏㄤ4" - ], - "䣊": [ - "ㄉㄤ3" - ], - "䣋": [ - "ㄘㄞ3" - ], - "䣌": [ - "ㄉㄧ3" - ], - "䣍": [ - "ㄧㄢ3", - "ㄧㄢ1" - ], - "䣎": [ - "ㄗ1" - ], - "䣐": [ - "ㄧㄥ1" - ], - "䣑": [ - "ㄔㄢ2" - ], - "䣓": [ - "ㄌㄧ2", - "ㄌㄧ4" - ], - "䣔": [ - "ㄙㄨㄛ3" - ], - "䣕": [ - "ㄇㄚ3" - ], - "䣖": [ - "ㄇㄚ3" - ], - "䣘": [ - "ㄊㄤ2" - ], - "䣙": [ - "ㄆㄟ2", - "ㄆㄥ3", - "ㄅㄟ1" - ], - "䣚": [ - "ㄌㄡ2" - ], - "䣛": [ - "ㄑㄧ1", - "ㄒㄧ1" - ], - "䣜": [ - "ㄘㄨㄛ2" - ], - "䣝": [ - "ㄊㄨ2" - ], - "䣞": [ - "ㄜ4" - ], - "䣟": [ - "ㄘㄢ2", - "ㄘㄢ3", - "ㄊㄧ4" - ], - "䣠": [ - "ㄐㄧㄝ2", - "ㄊㄧ4", - "ㄗㄚ2" - ], - "䣡": [ - "ㄧ2" - ], - "䣢": [ - "ㄐㄧ2" - ], - "䣣": [ - "ㄉㄤ3" - ], - "䣤": [ - "ㄐㄩㄝ2" - ], - "䣥": [ - "ㄅㄧ3" - ], - "䣦": [ - "ㄌㄟ4" - ], - "䣧": [ - "ㄧ4" - ], - "䣨": [ - "ㄔㄨㄣ2" - ], - "䣩": [ - "ㄔㄨㄣ2" - ], - "䣪": [ - "ㄆㄛ4" - ], - "䣫": [ - "ㄌㄧ2" - ], - "䣬": [ - "ㄗㄞ3", - "ㄍㄜ1" - ], - "䣭": [ - "ㄊㄞ4" - ], - "䣮": [ - "ㄆㄛ4" - ], - "䣯": [ - "ㄘㄨ2", - "ㄊㄧㄢ3" - ], - "䣰": [ - "ㄐㄩ4" - ], - "䣱": [ - "ㄒㄩ4" - ], - "䣲": [ - "ㄈㄢ4" - ], - "䣴": [ - "ㄒㄩ4" - ], - "䣵": [ - "ㄦ4" - ], - "䣶": [ - "ㄏㄨㄛ2", - "ㄊㄧㄢ2" - ], - "䣷": [ - "ㄓㄨ1" - ], - "䣸": [ - "ㄖㄢ3", - "ㄋㄢ3", - "ㄋㄢ4" - ], - "䣹": [ - "ㄈㄚ2" - ], - "䣺": [ - "ㄐㄩㄢ1" - ], - "䣻": [ - "ㄏㄢ1" - ], - "䣼": [ - "ㄌㄧㄤ2" - ], - "䣽": [ - "ㄓ1", - "ㄊㄧ3" - ], - "䣾": [ - "ㄇㄧ4" - ], - "䣿": [ - "ㄩ1" - ], - "䤁": [ - "ㄘㄣ2" - ], - "䤂": [ - "ㄇㄟ2" - ], - "䤃": [ - "ㄧㄣ1", - "ㄢ1", - "ㄧㄣ4" - ], - "䤄": [ - "ㄇㄧㄢ3" - ], - "䤅": [ - "ㄊㄨ2" - ], - "䤆": [ - "ㄎㄨㄟ2", - "ㄍㄨㄟ4" - ], - "䤉": [ - "ㄇㄧ4" - ], - "䤊": [ - "ㄖㄨㄥ2" - ], - "䤋": [ - "ㄩ4", - "ㄍㄨㄛ2" - ], - "䤌": [ - "ㄑㄧㄤ1" - ], - "䤍": [ - "ㄇㄧ2" - ], - "䤎": [ - "ㄐㄩ2", - "ㄐㄩㄝ2" - ], - "䤏": [ - "ㄆㄧ3" - ], - "䤐": [ - "ㄐㄧㄣ3" - ], - "䤑": [ - "ㄨㄤ4" - ], - "䤒": [ - "ㄐㄧ4", - "ㄐㄧ3" - ], - "䤓": [ - "ㄇㄥ2" - ], - "䤔": [ - "ㄐㄧㄢ4" - ], - "䤕": [ - "ㄒㄩㄝ4", - "ㄏㄨ4" - ], - "䤖": [ - "ㄅㄠ4" - ], - "䤗": [ - "ㄍㄢ3" - ], - "䤘": [ - "ㄔㄢ3", - "ㄑㄧㄢ3" - ], - "䤙": [ - "ㄌㄧ4" - ], - "䤚": [ - "ㄌㄧ3" - ], - "䤛": [ - "ㄑㄧㄡ2" - ], - "䤜": [ - "ㄉㄨㄣ4" - ], - "䤝": [ - "ㄧㄥ4" - ], - "䤞": [ - "ㄩㄣ3" - ], - "䤟": [ - "ㄔㄣ2" - ], - "䤠": [ - "ㄓ3" - ], - "䤡": [ - "ㄖㄢ3" - ], - "䤣": [ - "ㄌㄩㄝ4" - ], - "䤤": [ - "ㄎㄞ1" - ], - "䤥": [ - "ㄍㄨㄟ3", - "ㄨㄟ3" - ], - "䤦": [ - "ㄩㄝ4" - ], - "䤧": [ - "ㄏㄨㄟ4" - ], - "䤨": [ - "ㄆㄧ4" - ], - "䤩": [ - "ㄔㄚ2" - ], - "䤪": [ - "ㄉㄨㄛ3" - ], - "䤫": [ - "ㄔㄢ2" - ], - "䤬": [ - "ㄕㄚ1" - ], - "䤭": [ - "ㄕ4" - ], - "䤮": [ - "ㄕㄜ4" - ], - "䤯": [ - "ㄒㄧㄥ2" - ], - "䤰": [ - "ㄧㄥ2" - ], - "䤱": [ - "ㄕ4" - ], - "䤲": [ - "ㄔ4" - ], - "䤳": [ - "ㄧㄝ4" - ], - "䤴": [ - "ㄏㄢ2" - ], - "䤵": [ - "ㄈㄟ4", - "ㄆㄧ1", - "ㄈㄟ1" - ], - "䤶": [ - "ㄧㄝ4", - "ㄢ1" - ], - "䤷": [ - "ㄧㄢ3" - ], - "䤸": [ - "ㄗㄨㄢ4" - ], - "䤹": [ - "ㄙㄡ1" - ], - "䤺": [ - "ㄐㄧㄣ1", - "ㄧㄣ3" - ], - "䤻": [ - "ㄉㄨㄛ4" - ], - "䤼": [ - "ㄒㄧㄢ4" - ], - "䤽": [ - "ㄍㄨㄢ1" - ], - "䤾": [ - "ㄊㄠ1" - ], - "䤿": [ - "ㄑㄧㄝ4" - ], - "䥀": [ - "ㄔㄢ3" - ], - "䥁": [ - "ㄏㄢ2" - ], - "䥂": [ - "ㄇㄥ4" - ], - "䥃": [ - "ㄩㄝ4" - ], - "䥄": [ - "ㄘㄨ4" - ], - "䥅": [ - "ㄑㄧㄢ4" - ], - "䥆": [ - "ㄐㄧㄣ3" - ], - "䥇": [ - "ㄕㄢ4" - ], - "䥈": [ - "ㄇㄨ3" - ], - "䥉": [ - "ㄩㄢ1" - ], - "䥋": [ - "ㄆㄥ1" - ], - "䥌": [ - "ㄓㄥ4" - ], - "䥍": [ - "ㄓ4" - ], - "䥎": [ - "ㄔㄨㄣ2" - ], - "䥏": [ - "ㄩ3" - ], - "䥐": [ - "ㄇㄡ2" - ], - "䥑": [ - "ㄨㄢ4" - ], - "䥒": [ - "ㄐㄧㄤ4" - ], - "䥓": [ - "ㄑㄧ1" - ], - "䥔": [ - "ㄙㄨ4" - ], - "䥕": [ - "ㄆㄧㄝ3" - ], - "䥖": [ - "ㄊㄧㄢ2" - ], - "䥗": [ - "ㄎㄨㄢ3" - ], - "䥘": [ - "ㄘㄨ4" - ], - "䥙": [ - "ㄙㄨㄟ4" - ], - "䥛": [ - "ㄐㄧㄝ1", - "ㄐㄧㄝ2", - "ㄑㄧ4" - ], - "䥜": [ - "ㄐㄧㄢ4" - ], - "䥝": [ - "ㄠ2" - ], - "䥞": [ - "ㄐㄧㄠ3" - ], - "䥟": [ - "ㄧㄝ4" - ], - "䥡": [ - "ㄧㄝ4" - ], - "䥢": [ - "ㄌㄨㄥ2", - "ㄑㄧ1" - ], - "䥣": [ - "ㄗㄠ2" - ], - "䥤": [ - "ㄅㄠ2" - ], - "䥥": [ - "ㄌㄧㄢ2" - ], - "䥧": [ - "ㄏㄨㄢ2" - ], - "䥨": [ - "ㄌㄩ4", - "ㄌㄨ2" - ], - "䥩": [ - "ㄨㄟ2" - ], - "䥪": [ - "ㄒㄧㄢ3" - ], - "䥫": [ - "ㄊㄧㄝ3" - ], - "䥬": [ - "ㄅㄛ2" - ], - "䥭": [ - "ㄓㄥ4" - ], - "䥮": [ - "ㄓㄨ2" - ], - "䥯": [ - "ㄅㄟ1", - "ㄅㄚ4" - ], - "䥰": [ - "ㄇㄥ2" - ], - "䥱": [ - "ㄒㄧㄝ3" - ], - "䥲": [ - "ㄡ1" - ], - "䥳": [ - "ㄧㄡ1" - ], - "䥵": [ - "ㄒㄧㄠ3" - ], - "䥶": [ - "ㄌㄧ4" - ], - "䥷": [ - "ㄓㄚ2" - ], - "䥸": [ - "ㄇㄧ2" - ], - "䥺": [ - "ㄧㄝ2" - ], - "䥽": [ - "ㄆㄛ1" - ], - "䥾": [ - "ㄒㄧㄝ3" - ], - "䦂": [ - "ㄕㄢ4" - ], - "䦃": [ - "ㄓㄨㄛ1" - ], - "䦅": [ - "ㄕㄢ4" - ], - "䦆": [ - "ㄐㄩㄝ2" - ], - "䦇": [ - "ㄐㄧ4" - ], - "䦈": [ - "ㄐㄧㄝ1", - "ㄗㄨㄛ3" - ], - "䦊": [ - "ㄋㄧㄠ3" - ], - "䦋": [ - "ㄠ2" - ], - "䦌": [ - "ㄔㄨ4" - ], - "䦍": [ - "ㄨ4" - ], - "䦎": [ - "ㄍㄨㄢ3", - "ㄎㄤ4" - ], - "䦏": [ - "ㄒㄧㄝ4" - ], - "䦐": [ - "ㄊㄧㄥ3" - ], - "䦑": [ - "ㄒㄩㄝ4" - ], - "䦒": [ - "ㄉㄤ4", - "ㄑㄧㄠ1" - ], - "䦓": [ - "ㄓㄢ1", - "ㄔㄢ1" - ], - "䦔": [ - "ㄊㄢ3", - "ㄉㄢ3" - ], - "䦕": [ - "ㄆㄥ1" - ], - "䦖": [ - "ㄒㄧㄝ2", - "ㄒㄧㄚ2" - ], - "䦗": [ - "ㄒㄩ4" - ], - "䦘": [ - "ㄒㄧㄢ4" - ], - "䦙": [ - "ㄙ4", - "ㄕ4" - ], - "䦚": [ - "ㄎㄨㄚ4" - ], - "䦛": [ - "ㄓㄥ4" - ], - "䦜": [ - "ㄨ2" - ], - "䦝": [ - "ㄏㄨㄛ1" - ], - "䦞": [ - "ㄖㄨㄣ4" - ], - "䦟": [ - "ㄨㄣ3", - "ㄔㄨㄞ4" - ], - "䦠": [ - "ㄉㄨ1" - ], - "䦡": [ - "ㄏㄨㄢ2" - ], - "䦢": [ - "ㄎㄨㄛ4" - ], - "䦣": [ - "ㄈㄨ4" - ], - "䦤": [ - "ㄔㄨㄞ4" - ], - "䦥": [ - "ㄒㄧㄢ2" - ], - "䦦": [ - "ㄑㄧㄣ2" - ], - "䦧": [ - "ㄑㄧㄝ2" - ], - "䦨": [ - "ㄌㄢ2" - ], - "䦪": [ - "ㄧㄚ4" - ], - "䦫": [ - "ㄧㄥ1" - ], - "䦬": [ - "ㄑㄩㄝ4" - ], - "䦭": [ - "ㄏㄤ1" - ], - "䦮": [ - "ㄔㄨㄣ3" - ], - "䦯": [ - "ㄓ4" - ], - "䦱": [ - "ㄨㄟ3", - "ㄎㄨㄚ1" - ], - "䦲": [ - "ㄧㄢ2", - "ㄑㄧㄢ4", - "ㄔㄢ4" - ], - "䦳": [ - "ㄒㄧㄤ4" - ], - "䦴": [ - "ㄧ4" - ], - "䦵": [ - "ㄋㄧ3" - ], - "䦶": [ - "ㄓㄥ4" - ], - "䦷": [ - "ㄔㄨㄞ4" - ], - "䦹": [ - "ㄕ2" - ], - "䦺": [ - "ㄉㄧㄥ1" - ], - "䦻": [ - "ㄗ3" - ], - "䦼": [ - "ㄐㄩㄝ2", - "ㄆㄧ4" - ], - "䦽": [ - "ㄒㄩ4" - ], - "䦾": [ - "ㄩㄢ2" - ], - "䧁": [ - "ㄒㄩ3" - ], - "䧂": [ - "ㄉㄠ4" - ], - "䧃": [ - "ㄊㄧㄢ2" - ], - "䧄": [ - "ㄍㄜ4" - ], - "䧅": [ - "ㄧ2" - ], - "䧆": [ - "ㄏㄨㄥ2" - ], - "䧇": [ - "ㄧ1", - "ㄧ3" - ], - "䧉": [ - "ㄌㄧ3" - ], - "䧊": [ - "ㄎㄨ1" - ], - "䧋": [ - "ㄒㄧㄢ3", - "ㄒㄧㄢ4" - ], - "䧌": [ - "ㄙㄨㄟ1" - ], - "䧍": [ - "ㄒㄧ4" - ], - "䧎": [ - "ㄒㄩㄢ4" - ], - "䧑": [ - "ㄉㄧ1" - ], - "䧒": [ - "ㄌㄞ2" - ], - "䧓": [ - "ㄓㄡ1" - ], - "䧔": [ - "ㄋㄧㄢ4" - ], - "䧕": [ - "ㄔㄥ2" - ], - "䧖": [ - "ㄐㄧㄢ4" - ], - "䧗": [ - "ㄅㄧ4" - ], - "䧘": [ - "ㄓㄨㄢ4" - ], - "䧙": [ - "ㄌㄧㄥ2" - ], - "䧚": [ - "ㄏㄠ4" - ], - "䧛": [ - "ㄅㄤ4", - "ㄆㄥ2" - ], - "䧜": [ - "ㄊㄤ2" - ], - "䧝": [ - "ㄔ1", - "ㄓ4" - ], - "䧞": [ - "ㄇㄚ4", - "ㄈㄨ4" - ], - "䧟": [ - "ㄒㄧㄢ4" - ], - "䧠": [ - "ㄕㄨㄢ4" - ], - "䧡": [ - "ㄩㄥ1" - ], - "䧢": [ - "ㄑㄩ1", - "ㄡ1" - ], - "䧤": [ - "ㄆㄨ2" - ], - "䧥": [ - "ㄏㄨㄟ4" - ], - "䧦": [ - "ㄨㄟ2" - ], - "䧧": [ - "ㄧ3" - ], - "䧨": [ - "ㄧㄝ4" - ], - "䧪": [ - "ㄔㄜ4" - ], - "䧫": [ - "ㄏㄠ2" - ], - "䧬": [ - "ㄅㄧㄣ1" - ], - "䧮": [ - "ㄒㄧㄢ4", - "ㄒㄧㄢ3" - ], - "䧯": [ - "ㄔㄢ2", - "ㄓㄢ4" - ], - "䧰": [ - "ㄏㄨㄣ4" - ], - "䧲": [ - "ㄏㄢ4" - ], - "䧳": [ - "ㄘ2", - "ㄓㄨㄟ1" - ], - "䧴": [ - "ㄓ1" - ], - "䧵": [ - "ㄑㄧ2" - ], - "䧶": [ - "ㄎㄨㄟ2" - ], - "䧷": [ - "ㄖㄡ2" - ], - "䧹": [ - "ㄧㄥ1" - ], - "䧺": [ - "ㄒㄩㄥ2" - ], - "䧼": [ - "ㄏㄨ2" - ], - "䧽": [ - "ㄘㄨㄟ3" - ], - "䧿": [ - "ㄑㄩㄝ4", - "ㄒㄧ1" - ], - "䨀": [ - "ㄉㄧ2" - ], - "䨁": [ - "ㄨ4" - ], - "䨂": [ - "ㄑㄧㄡ1" - ], - "䨄": [ - "ㄧㄢ4" - ], - "䨅": [ - "ㄌㄧㄠ2" - ], - "䨆": [ - "ㄅㄧ2" - ], - "䨈": [ - "ㄅㄧㄣ1" - ], - "䨊": [ - "ㄩㄢ1" - ], - "䨋": [ - "ㄋㄩㄝ4" - ], - "䨌": [ - "ㄅㄠ2" - ], - "䨍": [ - "ㄧㄥ3" - ], - "䨎": [ - "ㄏㄨㄥ2" - ], - "䨏": [ - "ㄘ2" - ], - "䨐": [ - "ㄑㄧㄚ4" - ], - "䨑": [ - "ㄊㄧ2" - ], - "䨒": [ - "ㄩ4" - ], - "䨓": [ - "ㄌㄟ2" - ], - "䨔": [ - "ㄅㄠ2" - ], - "䨖": [ - "ㄐㄧ4" - ], - "䨗": [ - "ㄈㄨ2" - ], - "䨘": [ - "ㄒㄧㄢ4" - ], - "䨙": [ - "ㄘㄣ2" - ], - "䨚": [ - "ㄏㄨ1" - ], - "䨛": [ - "ㄙㄜ4", - "ㄒㄧ1" - ], - "䨜": [ - "ㄅㄥ1" - ], - "䨝": [ - "ㄑㄧㄥ1" - ], - "䨞": [ - "ㄩ3", - "ㄩ4" - ], - "䨟": [ - "ㄨㄚ1" - ], - "䨠": [ - "ㄞ3" - ], - "䨡": [ - "ㄏㄢ2" - ], - "䨢": [ - "ㄉㄢ4" - ], - "䨣": [ - "ㄍㄜ2" - ], - "䨤": [ - "ㄉㄧ2" - ], - "䨥": [ - "ㄏㄨㄛ4", - "ㄕㄨㄤ1" - ], - "䨦": [ - "ㄆㄤ1" - ], - "䨨": [ - "ㄓㄨㄟ1" - ], - "䨩": [ - "ㄌㄧㄥ2" - ], - "䨪": [ - "ㄇㄞ2" - ], - "䨫": [ - "ㄇㄞ4" - ], - "䨬": [ - "ㄌㄧㄢ2" - ], - "䨭": [ - "ㄒㄧㄠ1" - ], - "䨮": [ - "ㄒㄩㄝ3" - ], - "䨯": [ - "ㄓㄣ4" - ], - "䨰": [ - "ㄆㄛ4" - ], - "䨱": [ - "ㄈㄨ4" - ], - "䨲": [ - "ㄋㄡ2", - "ㄨㄢ4" - ], - "䨳": [ - "ㄒㄧ4", - "ㄒㄧ1" - ], - "䨴": [ - "ㄉㄨㄟ4" - ], - "䨵": [ - "ㄉㄢ4" - ], - "䨶": [ - "ㄩㄣ3" - ], - "䨷": [ - "ㄒㄧㄢ4" - ], - "䨸": [ - "ㄧㄣ3" - ], - "䨹": [ - "ㄕㄨ1" - ], - "䨺": [ - "ㄉㄨㄟ4" - ], - "䨻": [ - "ㄅㄥ4" - ], - "䨼": [ - "ㄏㄨ4" - ], - "䨽": [ - "ㄈㄟ3" - ], - "䨾": [ - "ㄈㄟ4" - ], - "䨿": [ - "ㄗㄚ2" - ], - "䩀": [ - "ㄅㄟ4" - ], - "䩁": [ - "ㄈㄟ1" - ], - "䩂": [ - "ㄒㄧㄢ1" - ], - "䩃": [ - "ㄕ4" - ], - "䩄": [ - "ㄇㄧㄢ3", - "ㄊㄧㄢ3" - ], - "䩅": [ - "ㄓㄢ3", - "ㄋㄢ3" - ], - "䩆": [ - "ㄓㄢ3" - ], - "䩇": [ - "ㄓㄢ1", - "ㄉㄧㄢ1" - ], - "䩈": [ - "ㄏㄨㄟ4" - ], - "䩉": [ - "ㄈㄨ3" - ], - "䩊": [ - "ㄨㄢ3", - "ㄨㄛ4" - ], - "䩋": [ - "ㄇㄛ3" - ], - "䩌": [ - "ㄑㄧㄠ2" - ], - "䩍": [ - "ㄌㄧㄠ3" - ], - "䩏": [ - "ㄇㄧㄝ4" - ], - "䩐": [ - "ㄏㄨ1", - "ㄐㄧ2", - "ㄍㄜ2" - ], - "䩑": [ - "ㄏㄨㄥ2" - ], - "䩒": [ - "ㄩ2" - ], - "䩓": [ - "ㄑㄧ2" - ], - "䩔": [ - "ㄉㄨㄛ4", - "ㄕㄢ1", - "ㄆㄢ2" - ], - "䩕": [ - "ㄤ2", - "ㄧㄥ4" - ], - "䩗": [ - "ㄅㄚ4" - ], - "䩘": [ - "ㄉㄧ4" - ], - "䩙": [ - "ㄒㄩㄢ4", - "ㄒㄧㄢ3" - ], - "䩚": [ - "ㄉㄧ4", - "ㄉㄧ1" - ], - "䩛": [ - "ㄅㄧ4", - "ㄆㄟ4" - ], - "䩜": [ - "ㄓㄡ4" - ], - "䩝": [ - "ㄆㄠ2" - ], - "䩞": [ - "ㄊㄧㄝ2", - "ㄉㄧㄝ1" - ], - "䩟": [ - "ㄧ2", - "ㄊㄧ4" - ], - "䩡": [ - "ㄐㄧㄚ2", - "ㄍㄜ2" - ], - "䩢": [ - "ㄓ4", - "ㄉㄚ2" - ], - "䩣": [ - "ㄊㄨ2" - ], - "䩤": [ - "ㄒㄧㄝ2" - ], - "䩥": [ - "ㄉㄢ4", - "ㄔㄢ1" - ], - "䩦": [ - "ㄊㄧㄠ2" - ], - "䩧": [ - "ㄒㄧㄝ4" - ], - "䩨": [ - "ㄔㄤ4", - "ㄓㄤ1" - ], - "䩩": [ - "ㄩㄢ3" - ], - "䩪": [ - "ㄍㄨㄢ3" - ], - "䩫": [ - "ㄌㄧㄤ3" - ], - "䩬": [ - "ㄅㄥ3", - "ㄈㄥ3" - ], - "䩮": [ - "ㄌㄨ4" - ], - "䩯": [ - "ㄐㄧ2", - "ㄑㄧ4" - ], - "䩰": [ - "ㄒㄩㄢ4" - ], - "䩱": [ - "ㄕㄨ4", - "ㄩ2", - "ㄕㄨ1" - ], - "䩲": [ - "ㄉㄨ1" - ], - "䩳": [ - "ㄙㄡ1" - ], - "䩴": [ - "ㄏㄨ2" - ], - "䩵": [ - "ㄩㄣ4" - ], - "䩶": [ - "ㄔㄢ3" - ], - "䩷": [ - "ㄅㄤ1" - ], - "䩸": [ - "ㄖㄨㄥ2", - "ㄖㄨㄥ3" - ], - "䩹": [ - "ㄜ2", - "ㄎㄨㄛ4" - ], - "䩺": [ - "ㄨㄥ1" - ], - "䩻": [ - "ㄅㄚ4" - ], - "䩼": [ - "ㄈㄥ2" - ], - "䩽": [ - "ㄩ1" - ], - "䩾": [ - "ㄓㄜ4" - ], - "䩿": [ - "ㄈㄣ2" - ], - "䪀": [ - "ㄍㄨㄢ3" - ], - "䪁": [ - "ㄅㄨ3" - ], - "䪂": [ - "ㄍㄜ2" - ], - "䪃": [ - "ㄉㄨㄣ1" - ], - "䪄": [ - "ㄏㄨㄤ2" - ], - "䪅": [ - "ㄉㄨ2" - ], - "䪆": [ - "ㄊㄧ3" - ], - "䪇": [ - "ㄅㄛ2" - ], - "䪈": [ - "ㄑㄧㄢ4" - ], - "䪉": [ - "ㄌㄧㄝ4" - ], - "䪊": [ - "ㄌㄨㄥ2" - ], - "䪋": [ - "ㄨㄟ4" - ], - "䪌": [ - "ㄓㄢ4", - "ㄕㄢ1" - ], - "䪍": [ - "ㄌㄢ2" - ], - "䪎": [ - "ㄙㄨㄟ1" - ], - "䪏": [ - "ㄋㄚ4", - "ㄉㄚ1" - ], - "䪐": [ - "ㄅㄧ4" - ], - "䪑": [ - "ㄊㄨㄛ2" - ], - "䪒": [ - "ㄓㄨ4" - ], - "䪓": [ - "ㄉㄧㄝ1" - ], - "䪔": [ - "ㄅㄨ3", - "ㄈㄨ4" - ], - "䪕": [ - "ㄐㄩ2" - ], - "䪖": [ - "ㄆㄛ4" - ], - "䪗": [ - "ㄒㄧㄚ2" - ], - "䪘": [ - "ㄨㄟ3", - "ㄉㄧ1" - ], - "䪙": [ - "ㄆㄛ4", - "ㄈㄨ2", - "ㄈㄨ4" - ], - "䪚": [ - "ㄉㄚ1", - "ㄊㄚ4" - ], - "䪛": [ - "ㄈㄢ1", - "ㄈㄢ2" - ], - "䪜": [ - "ㄔㄢ1", - "ㄔㄢ4", - "ㄧㄢ2" - ], - "䪝": [ - "ㄏㄨ4" - ], - "䪞": [ - "ㄗㄚ2" - ], - "䪤": [ - "ㄈㄢ2" - ], - "䪥": [ - "ㄒㄧㄝ4" - ], - "䪦": [ - "ㄏㄨㄥ2" - ], - "䪧": [ - "ㄔ2" - ], - "䪨": [ - "ㄅㄠ2" - ], - "䪩": [ - "ㄧㄣ2" - ], - "䪫": [ - "ㄐㄧㄥ1" - ], - "䪬": [ - "ㄅㄛ2" - ], - "䪭": [ - "ㄖㄨㄢ3" - ], - "䪮": [ - "ㄔㄡ3" - ], - "䪯": [ - "ㄧㄥ1" - ], - "䪰": [ - "ㄧ1" - ], - "䪱": [ - "ㄍㄞ3", - "ㄏㄞ2" - ], - "䪲": [ - "ㄎㄨㄣ1" - ], - "䪳": [ - "ㄩㄣ3" - ], - "䪴": [ - "ㄓㄣ3", - "ㄉㄢ3", - "ㄉㄢ4" - ], - "䪵": [ - "ㄧㄚ3" - ], - "䪶": [ - "ㄐㄩ1" - ], - "䪷": [ - "ㄏㄡ4", - "ㄍㄡ4" - ], - "䪸": [ - "ㄇㄧㄣ2", - "ㄇㄣ2" - ], - "䪹": [ - "ㄅㄞ1", - "ㄆㄧ1", - "ㄆㄟ2" - ], - "䪺": [ - "ㄍㄜ2" - ], - "䪻": [ - "ㄅㄧㄢ4", - "ㄈㄢ4" - ], - "䪼": [ - "ㄓㄨㄛ1" - ], - "䪽": [ - "ㄏㄠ4" - ], - "䪾": [ - "ㄓㄣ3" - ], - "䪿": [ - "ㄕㄥ3" - ], - "䫀": [ - "ㄍㄣ3" - ], - "䫁": [ - "ㄅㄧ4" - ], - "䫂": [ - "ㄉㄨㄛ3" - ], - "䫃": [ - "ㄔㄨㄣ2", - "ㄓㄣ4" - ], - "䫄": [ - "ㄔㄨㄚ4" - ], - "䫅": [ - "ㄙㄢ4" - ], - "䫆": [ - "ㄔㄥ2" - ], - "䫇": [ - "ㄖㄢ2" - ], - "䫈": [ - "ㄔㄣ3", - "ㄗㄣ4", - "ㄘㄣ2" - ], - "䫉": [ - "ㄇㄠ4" - ], - "䫊": [ - "ㄆㄟ2" - ], - "䫋": [ - "ㄨㄟ1", - "ㄊㄨㄟ2" - ], - "䫌": [ - "ㄆㄧ3" - ], - "䫍": [ - "ㄈㄨ3" - ], - "䫎": [ - "ㄓㄨㄛ1" - ], - "䫏": [ - "ㄑㄧ1" - ], - "䫐": [ - "ㄌㄧㄣ2" - ], - "䫑": [ - "ㄧ1", - "ㄑㄧ1" - ], - "䫒": [ - "ㄇㄣ2" - ], - "䫓": [ - "ㄨ2" - ], - "䫔": [ - "ㄑㄧ4", - "ㄑㄧㄝ4", - "ㄧㄚ4", - "ㄎㄨㄟ2" - ], - "䫕": [ - "ㄉㄧㄝ2" - ], - "䫖": [ - "ㄔㄣ3", - "ㄕㄣ4" - ], - "䫗": [ - "ㄒㄧㄚ2" - ], - "䫘": [ - "ㄏㄜ2", - "ㄐㄧㄝ2", - "ㄎㄜ3" - ], - "䫙": [ - "ㄙㄤ3" - ], - "䫚": [ - "ㄍㄨㄚ1" - ], - "䫛": [ - "ㄏㄡ2" - ], - "䫜": [ - "ㄠ1" - ], - "䫝": [ - "ㄈㄨ3" - ], - "䫞": [ - "ㄑㄧㄠ1", - "ㄈㄣ2" - ], - "䫟": [ - "ㄏㄨㄣ4" - ], - "䫠": [ - "ㄆㄧ1" - ], - "䫡": [ - "ㄧㄢ2", - "ㄑㄧㄢ4", - "ㄑㄧㄢ1", - "ㄐㄧㄢ4" - ], - "䫢": [ - "ㄙ1" - ], - "䫣": [ - "ㄒㄧ2" - ], - "䫤": [ - "ㄇㄧㄥ2" - ], - "䫥": [ - "ㄎㄨㄟ3" - ], - "䫦": [ - "ㄍㄜ2", - "ㄎㄞ4" - ], - "䫨": [ - "ㄠ4" - ], - "䫩": [ - "ㄙㄢ3" - ], - "䫪": [ - "ㄕㄨㄤ3" - ], - "䫫": [ - "ㄌㄡ2" - ], - "䫬": [ - "ㄓㄣ3", - "ㄑㄧㄣ3" - ], - "䫭": [ - "ㄏㄨㄟ4" - ], - "䫮": [ - "ㄔㄢ2" - ], - "䫰": [ - "ㄌㄧㄣ4" - ], - "䫱": [ - "ㄋㄚ2" - ], - "䫲": [ - "ㄏㄢ4", - "ㄎㄢ3" - ], - "䫳": [ - "ㄉㄨ2" - ], - "䫴": [ - "ㄐㄧㄣ4" - ], - "䫵": [ - "ㄇㄧㄢ2" - ], - "䫶": [ - "ㄈㄢ2" - ], - "䫷": [ - "ㄜ4" - ], - "䫸": [ - "ㄔㄠ1" - ], - "䫹": [ - "ㄏㄨㄥ2" - ], - "䫺": [ - "ㄏㄨㄥ2" - ], - "䫻": [ - "ㄩ4" - ], - "䫼": [ - "ㄒㄩㄝ4" - ], - "䫽": [ - "ㄆㄠ1" - ], - "䫾": [ - "ㄅㄧ1", - "ㄅㄧ4" - ], - "䫿": [ - "ㄔㄠ1" - ], - "䬀": [ - "ㄧㄡ3" - ], - "䬁": [ - "ㄧ2" - ], - "䬂": [ - "ㄒㄩㄝ4" - ], - "䬃": [ - "ㄙㄚ4" - ], - "䬄": [ - "ㄒㄩ4" - ], - "䬅": [ - "ㄌㄧ4", - "ㄌㄧㄝ4", - "ㄒㄧㄝ2" - ], - "䬆": [ - "ㄌㄧ4" - ], - "䬇": [ - "ㄩㄢ4" - ], - "䬈": [ - "ㄉㄨㄟ4" - ], - "䬉": [ - "ㄏㄨㄛ4" - ], - "䬊": [ - "ㄕㄚ4" - ], - "䬋": [ - "ㄌㄥ2" - ], - "䬌": [ - "ㄆㄡ1" - ], - "䬍": [ - "ㄏㄨ1" - ], - "䬎": [ - "ㄍㄨㄛ2", - "ㄒㄩ4" - ], - "䬏": [ - "ㄅㄨ4", - "ㄈㄡ3" - ], - "䬐": [ - "ㄖㄨㄟ2" - ], - "䬑": [ - "ㄨㄟ4", - "ㄩ4" - ], - "䬒": [ - "ㄙㄡ1", - "ㄒㄧㄠ1" - ], - "䬓": [ - "ㄢ4" - ], - "䬔": [ - "ㄩ2" - ], - "䬕": [ - "ㄒㄧㄤ1", - "ㄕㄤ3" - ], - "䬖": [ - "ㄏㄥ2" - ], - "䬗": [ - "ㄧㄤ2" - ], - "䬘": [ - "ㄒㄧㄠ1" - ], - "䬙": [ - "ㄧㄠ2" - ], - "䬛": [ - "ㄅㄧ4" - ], - "䬝": [ - "ㄏㄥ2" - ], - "䬞": [ - "ㄊㄠ2" - ], - "䬟": [ - "ㄌㄧㄡ2", - "ㄌㄧㄡ3" - ], - "䬡": [ - "ㄓㄨ4" - ], - "䬣": [ - "ㄒㄧ4", - "ㄑㄧ4", - "ㄍㄜ1" - ], - "䬤": [ - "ㄗㄢ4", - "ㄓㄢ1" - ], - "䬥": [ - "ㄧ4" - ], - "䬦": [ - "ㄉㄡ4", - "ㄕㄜ4" - ], - "䬧": [ - "ㄩㄢ2" - ], - "䬨": [ - "ㄐㄧㄡ4" - ], - "䬪": [ - "ㄅㄛ2" - ], - "䬫": [ - "ㄊㄧ2" - ], - "䬬": [ - "ㄧㄥ3" - ], - "䬮": [ - "ㄧ2" - ], - "䬯": [ - "ㄋㄧㄢ2", - "ㄊㄧㄢ3" - ], - "䬰": [ - "ㄕㄠ4" - ], - "䬱": [ - "ㄅㄣ4" - ], - "䬲": [ - "ㄍㄡ1" - ], - "䬳": [ - "ㄅㄢ3" - ], - "䬴": [ - "ㄇㄛ4" - ], - "䬵": [ - "ㄍㄞ1", - "ㄞ4" - ], - "䬶": [ - "ㄣ4" - ], - "䬷": [ - "ㄕㄜ3" - ], - "䬹": [ - "ㄓ4" - ], - "䬺": [ - "ㄧㄤ4" - ], - "䬻": [ - "ㄐㄧㄢ4" - ], - "䬼": [ - "ㄩㄢ4" - ], - "䬽": [ - "ㄕㄨㄟ4", - "ㄉㄨㄟ4" - ], - "䬾": [ - "ㄊㄧ2" - ], - "䬿": [ - "ㄨㄟ3", - "ㄨㄟ4" - ], - "䭀": [ - "ㄒㄩㄣ4" - ], - "䭁": [ - "ㄓ4" - ], - "䭂": [ - "ㄧ4" - ], - "䭃": [ - "ㄖㄣ3", - "ㄋㄧㄝ4" - ], - "䭄": [ - "ㄕ4" - ], - "䭅": [ - "ㄏㄨ2" - ], - "䭆": [ - "ㄋㄜ4" - ], - "䭇": [ - "ㄧㄝ1", - "ㄧ4" - ], - "䭈": [ - "ㄐㄧㄢ4" - ], - "䭉": [ - "ㄙㄨㄟ3" - ], - "䭊": [ - "ㄧㄥ3" - ], - "䭋": [ - "ㄅㄠ3" - ], - "䭌": [ - "ㄏㄨ2" - ], - "䭍": [ - "ㄏㄨ2" - ], - "䭎": [ - "ㄧㄝ4" - ], - "䭐": [ - "ㄧㄤ4" - ], - "䭑": [ - "ㄌㄧㄢ2", - "ㄑㄧㄢ4", - "ㄒㄧㄢ4" - ], - "䭒": [ - "ㄒㄧ1" - ], - "䭓": [ - "ㄣ4" - ], - "䭔": [ - "ㄉㄨㄟ1" - ], - "䭕": [ - "ㄗㄢ3", - "ㄐㄧㄢ3" - ], - "䭖": [ - "ㄓㄨ4" - ], - "䭗": [ - "ㄧㄥ3" - ], - "䭘": [ - "ㄧㄥ3" - ], - "䭙": [ - "ㄐㄧㄣ3", - "ㄐㄧㄢ4" - ], - "䭚": [ - "ㄔㄨㄤ2" - ], - "䭛": [ - "ㄉㄢ4" - ], - "䭝": [ - "ㄎㄨㄞ4" - ], - "䭞": [ - "ㄧ4" - ], - "䭟": [ - "ㄧㄝ4" - ], - "䭠": [ - "ㄐㄧㄢ3" - ], - "䭡": [ - "ㄣ4" - ], - "䭢": [ - "ㄋㄧㄥ2" - ], - "䭣": [ - "ㄘ2" - ], - "䭤": [ - "ㄑㄧㄢ3" - ], - "䭥": [ - "ㄒㄩㄝ4" - ], - "䭦": [ - "ㄅㄛ1" - ], - "䭧": [ - "ㄇㄧ3" - ], - "䭨": [ - "ㄕㄨㄟ4" - ], - "䭩": [ - "ㄇㄛ2" - ], - "䭪": [ - "ㄌㄧㄤ2" - ], - "䭫": [ - "ㄑㄧ3" - ], - "䭬": [ - "ㄑㄧ3" - ], - "䭭": [ - "ㄕㄡ3" - ], - "䭮": [ - "ㄈㄨ2" - ], - "䭯": [ - "ㄅㄛ2" - ], - "䭰": [ - "ㄅㄥ4" - ], - "䭱": [ - "ㄅㄧㄝ2" - ], - "䭲": [ - "ㄧ3" - ], - "䭳": [ - "ㄨㄟ4" - ], - "䭴": [ - "ㄏㄨㄢ2" - ], - "䭵": [ - "ㄈㄢ2" - ], - "䭶": [ - "ㄑㄧ2" - ], - "䭷": [ - "ㄇㄠ2" - ], - "䭸": [ - "ㄈㄨ4" - ], - "䭹": [ - "ㄤ2" - ], - "䭺": [ - "ㄤ3" - ], - "䭻": [ - "ㄈㄣ1", - "ㄈㄨ4" - ], - "䭼": [ - "ㄑㄧ2" - ], - "䭽": [ - "ㄑㄩㄣ2" - ], - "䭾": [ - "ㄊㄨㄛ2" - ], - "䭿": [ - "ㄧ4" - ], - "䮀": [ - "ㄅㄛ2" - ], - "䮁": [ - "ㄆㄧㄢ2" - ], - "䮂": [ - "ㄅㄚ2" - ], - "䮄": [ - "ㄒㄩㄢ2" - ], - "䮇": [ - "ㄩ4" - ], - "䮈": [ - "ㄔ2" - ], - "䮉": [ - "ㄌㄨ2" - ], - "䮊": [ - "ㄧ2" - ], - "䮋": [ - "ㄌㄧ4" - ], - "䮍": [ - "ㄋㄧㄠ3" - ], - "䮎": [ - "ㄒㄧ4" - ], - "䮏": [ - "ㄨ2" - ], - "䮑": [ - "ㄌㄟ4", - "ㄌㄨㄛ4" - ], - "䮒": [ - "ㄆㄨ1" - ], - "䮓": [ - "ㄓㄨㄛ1", - "ㄔㄠ4" - ], - "䮔": [ - "ㄗㄨㄟ1" - ], - "䮕": [ - "ㄓㄨㄛ2" - ], - "䮖": [ - "ㄔㄤ1" - ], - "䮗": [ - "ㄢ4", - "ㄧㄢ4" - ], - "䮘": [ - "ㄦ2" - ], - "䮙": [ - "ㄩ4" - ], - "䮚": [ - "ㄌㄥ4", - "ㄌㄧㄥ2" - ], - "䮛": [ - "ㄈㄨ4" - ], - "䮜": [ - "ㄓㄚ2", - "ㄧㄝ4" - ], - "䮝": [ - "ㄏㄨㄣ2" - ], - "䮞": [ - "ㄔㄨㄣ3" - ], - "䮟": [ - "ㄙㄡ1", - "ㄙㄡ3" - ], - "䮠": [ - "ㄅㄧ1" - ], - "䮡": [ - "ㄅㄧ4", - "ㄅㄛ2" - ], - "䮢": [ - "ㄓㄚ2" - ], - "䮤": [ - "ㄏㄜ2" - ], - "䮥": [ - "ㄌㄧ4" - ], - "䮧": [ - "ㄏㄢ4", - "ㄏㄢ2" - ], - "䮨": [ - "ㄗㄞ3" - ], - "䮩": [ - "ㄍㄨ2" - ], - "䮪": [ - "ㄔㄥ2" - ], - "䮫": [ - "ㄌㄡ2", - "ㄌㄩ2" - ], - "䮬": [ - "ㄇㄛ4" - ], - "䮭": [ - "ㄇㄧ4" - ], - "䮮": [ - "ㄇㄞ4" - ], - "䮯": [ - "ㄠ4" - ], - "䮰": [ - "ㄓㄜ2" - ], - "䮱": [ - "ㄓㄨ2" - ], - "䮲": [ - "ㄏㄨㄤ2" - ], - "䮳": [ - "ㄈㄢ2" - ], - "䮴": [ - "ㄉㄥ4", - "ㄊㄥ1" - ], - "䮵": [ - "ㄊㄨㄥ2" - ], - "䮷": [ - "ㄉㄨ2" - ], - "䮸": [ - "ㄨㄛ4" - ], - "䮹": [ - "ㄨㄟ4", - "ㄍㄨㄟ4" - ], - "䮺": [ - "ㄐㄧ4" - ], - "䮻": [ - "ㄔ4" - ], - "䮼": [ - "ㄌㄧㄣ2" - ], - "䮽": [ - "ㄅㄧㄠ1" - ], - "䮾": [ - "ㄌㄨㄥ2", - "ㄌㄨㄥ4" - ], - "䮿": [ - "ㄐㄧㄢ3" - ], - "䯀": [ - "ㄋㄧㄝ4" - ], - "䯁": [ - "ㄌㄨㄛ2" - ], - "䯂": [ - "ㄕㄣ1", - "ㄐㄧ2" - ], - "䯄": [ - "ㄍㄨㄚ1" - ], - "䯅": [ - "ㄋㄧㄝ4" - ], - "䯆": [ - "ㄧ4" - ], - "䯇": [ - "ㄎㄨ1" - ], - "䯈": [ - "ㄨㄢ2" - ], - "䯉": [ - "ㄨㄚ1" - ], - "䯊": [ - "ㄑㄧㄚ4", - "ㄎㄜ1" - ], - "䯋": [ - "ㄅㄛ2", - "ㄈㄟ4" - ], - "䯌": [ - "ㄎㄠ1" - ], - "䯍": [ - "ㄌㄧㄥ2" - ], - "䯎": [ - "ㄍㄢ4" - ], - "䯏": [ - "ㄍㄨㄚ1", - "ㄏㄨㄚ2" - ], - "䯐": [ - "ㄏㄞ2" - ], - "䯑": [ - "ㄎㄨㄤ1" - ], - "䯒": [ - "ㄏㄥ2" - ], - "䯓": [ - "ㄎㄨㄟ1" - ], - "䯔": [ - "ㄗㄜ2" - ], - "䯕": [ - "ㄊㄧㄥ1" - ], - "䯖": [ - "ㄌㄤ2" - ], - "䯗": [ - "ㄅㄧ4" - ], - "䯘": [ - "ㄏㄨㄢ4" - ], - "䯙": [ - "ㄆㄛ4" - ], - "䯚": [ - "ㄧㄠ3" - ], - "䯛": [ - "ㄨㄢ4" - ], - "䯜": [ - "ㄊㄧ4", - "ㄒㄧ1" - ], - "䯝": [ - "ㄙㄨㄟ3" - ], - "䯞": [ - "ㄎㄨㄚ1" - ], - "䯟": [ - "ㄉㄨㄟ4", - "ㄒㄧㄚ2" - ], - "䯠": [ - "ㄠ3" - ], - "䯡": [ - "ㄐㄧㄢ4" - ], - "䯢": [ - "ㄇㄛ2", - "ㄇㄛ3" - ], - "䯣": [ - "ㄎㄨㄟ4", - "ㄍㄨㄟ4" - ], - "䯤": [ - "ㄎㄨㄞ4" - ], - "䯥": [ - "ㄢ4", - "ㄑㄧ4" - ], - "䯦": [ - "ㄇㄚ4" - ], - "䯧": [ - "ㄑㄧㄥ3", - "ㄑㄧㄥ4" - ], - "䯨": [ - "ㄑㄧㄠ1", - "ㄏㄜ4" - ], - "䯪": [ - "ㄎㄠ3", - "ㄎㄠ4" - ], - "䯫": [ - "ㄏㄠ4" - ], - "䯬": [ - "ㄉㄨㄛ3" - ], - "䯭": [ - "ㄒㄧㄢ1" - ], - "䯮": [ - "ㄋㄞ2" - ], - "䯯": [ - "ㄙㄨㄛ1" - ], - "䯰": [ - "ㄐㄧㄝ4" - ], - "䯱": [ - "ㄆㄧ1", - "ㄆㄟ1", - "ㄈㄨ4" - ], - "䯲": [ - "ㄆㄚ1", - "ㄅㄚ4" - ], - "䯳": [ - "ㄙㄨㄥ1" - ], - "䯴": [ - "ㄔㄤ2" - ], - "䯵": [ - "ㄋㄧㄝ4" - ], - "䯶": [ - "ㄇㄢ2", - "ㄇㄧㄢ2" - ], - "䯷": [ - "ㄙㄨㄥ1" - ], - "䯸": [ - "ㄘ4" - ], - "䯹": [ - "ㄒㄧㄢ1" - ], - "䯺": [ - "ㄎㄨㄛ4" - ], - "䯼": [ - "ㄉㄧ2" - ], - "䯽": [ - "ㄆㄡ2", - "ㄆㄡ3", - "ㄅㄠ3" - ], - "䯾": [ - "ㄊㄧㄠ2", - "ㄉㄧㄠ1" - ], - "䯿": [ - "ㄗㄨ2", - "ㄙㄨㄟ4", - "ㄗㄨㄟ4" - ], - "䰀": [ - "ㄨㄛ3" - ], - "䰁": [ - "ㄈㄟ4" - ], - "䰂": [ - "ㄘㄞ4" - ], - "䰃": [ - "ㄆㄥ2", - "ㄆㄥ4", - "ㄈㄤ3" - ], - "䰄": [ - "ㄙㄞ1", - "ㄕ4" - ], - "䰆": [ - "ㄖㄡ2" - ], - "䰇": [ - "ㄑㄧ2" - ], - "䰈": [ - "ㄘㄨㄛ2" - ], - "䰉": [ - "ㄆㄢ2", - "ㄅㄢ1" - ], - "䰊": [ - "ㄅㄛ2" - ], - "䰋": [ - "ㄇㄢ2" - ], - "䰌": [ - "ㄗㄨㄥ3", - "ㄘㄨㄥ1" - ], - "䰍": [ - "ㄘ4" - ], - "䰎": [ - "ㄎㄨㄟ4" - ], - "䰏": [ - "ㄐㄧ4" - ], - "䰐": [ - "ㄌㄢ2" - ], - "䰒": [ - "ㄇㄥ2" - ], - "䰓": [ - "ㄇㄧㄢ2" - ], - "䰔": [ - "ㄆㄢ2" - ], - "䰕": [ - "ㄌㄨ2" - ], - "䰖": [ - "ㄗㄨㄢ3" - ], - "䰗": [ - "ㄐㄧㄡ1" - ], - "䰘": [ - "ㄌㄧㄡ2", - "ㄐㄧㄠ3" - ], - "䰙": [ - "ㄧ3" - ], - "䰚": [ - "ㄨㄣ2" - ], - "䰛": [ - "ㄌㄧ4", - "ㄍㄜ2" - ], - "䰜": [ - "ㄌㄧ4" - ], - "䰝": [ - "ㄗㄥ4" - ], - "䰞": [ - "ㄓㄨ3" - ], - "䰟": [ - "ㄏㄨㄣ2" - ], - "䰠": [ - "ㄕㄣ2" - ], - "䰡": [ - "ㄔ4" - ], - "䰢": [ - "ㄒㄧㄥ4" - ], - "䰣": [ - "ㄨㄤ3" - ], - "䰤": [ - "ㄉㄨㄥ1" - ], - "䰥": [ - "ㄏㄨㄛ4", - "ㄩ4" - ], - "䰦": [ - "ㄆㄧ3" - ], - "䰧": [ - "ㄏㄨ1" - ], - "䰨": [ - "ㄇㄟ4" - ], - "䰩": [ - "ㄔㄜ3", - "ㄉㄨ1" - ], - "䰪": [ - "ㄇㄟ4" - ], - "䰫": [ - "ㄔㄠ1", - "ㄔㄠ2", - "ㄓㄠ4" - ], - "䰬": [ - "ㄐㄩ2" - ], - "䰭": [ - "ㄋㄡ4" - ], - "䰯": [ - "ㄧ4" - ], - "䰰": [ - "ㄖㄨ2" - ], - "䰱": [ - "ㄌㄧㄥ2", - "ㄌㄨㄥ2" - ], - "䰲": [ - "ㄧㄚ4" - ], - "䰴": [ - "ㄑㄧ4" - ], - "䰵": [ - "ㄗ1" - ], - "䰷": [ - "ㄅㄤ4" - ], - "䰸": [ - "ㄍㄨㄥ1" - ], - "䰹": [ - "ㄗㄜ2" - ], - "䰺": [ - "ㄐㄧㄝ4" - ], - "䰻": [ - "ㄩ2" - ], - "䰼": [ - "ㄑㄧㄣ2", - "ㄧㄣ2", - "ㄕㄣ4" - ], - "䰽": [ - "ㄅㄟ4" - ], - "䰾": [ - "ㄅㄚ1", - "ㄅㄚ4" - ], - "䰿": [ - "ㄊㄨㄛ2" - ], - "䱀": [ - "ㄧㄤ1" - ], - "䱁": [ - "ㄑㄧㄠ2" - ], - "䱂": [ - "ㄧㄡ3" - ], - "䱃": [ - "ㄓ4" - ], - "䱄": [ - "ㄐㄧㄝ4" - ], - "䱅": [ - "ㄇㄛ4" - ], - "䱆": [ - "ㄕㄥ2" - ], - "䱇": [ - "ㄕㄢ4" - ], - "䱈": [ - "ㄑㄧ2" - ], - "䱉": [ - "ㄕㄢ4" - ], - "䱊": [ - "ㄇㄧ3" - ], - "䱋": [ - "ㄍㄨㄥ3" - ], - "䱌": [ - "ㄧ2" - ], - "䱍": [ - "ㄍㄥ4" - ], - "䱎": [ - "ㄍㄥ4" - ], - "䱏": [ - "ㄊㄡ3" - ], - "䱐": [ - "ㄈㄨ1" - ], - "䱑": [ - "ㄒㄩㄝ2" - ], - "䱒": [ - "ㄧㄝ4" - ], - "䱓": [ - "ㄊㄧㄥ2", - "ㄊㄧㄥ3" - ], - "䱔": [ - "ㄊㄧㄠ2", - "ㄔㄡ2" - ], - "䱕": [ - "ㄇㄡ2", - "ㄇㄟ2" - ], - "䱖": [ - "ㄌㄧㄡ2" - ], - "䱗": [ - "ㄘㄢ1" - ], - "䱘": [ - "ㄌㄧ2" - ], - "䱙": [ - "ㄕㄨ1" - ], - "䱚": [ - "ㄌㄨ4" - ], - "䱛": [ - "ㄏㄨㄛ4", - "ㄒㄩ4", - "ㄧ4" - ], - "䱜": [ - "ㄘㄨㄛ4" - ], - "䱝": [ - "ㄆㄞ2", - "ㄅㄟ1" - ], - "䱞": [ - "ㄌㄧㄡ2" - ], - "䱟": [ - "ㄐㄩ4", - "ㄐㄩ1" - ], - "䱠": [ - "ㄓㄢ4" - ], - "䱡": [ - "ㄐㄩ2" - ], - "䱢": [ - "ㄓㄥ1" - ], - "䱣": [ - "ㄗㄨ2" - ], - "䱤": [ - "ㄒㄧㄢ4" - ], - "䱥": [ - "ㄓ4", - "ㄐㄧ4" - ], - "䱨": [ - "ㄌㄚ4" - ], - "䱫": [ - "ㄌㄚ4" - ], - "䱬": [ - "ㄒㄩ1" - ], - "䱭": [ - "ㄍㄥ4" - ], - "䱮": [ - "ㄜ2" - ], - "䱯": [ - "ㄇㄨ2" - ], - "䱰": [ - "ㄓㄨㄥ4" - ], - "䱱": [ - "ㄊㄧ2", - "ㄉㄧ4" - ], - "䱲": [ - "ㄩㄢ2" - ], - "䱳": [ - "ㄓㄢ1" - ], - "䱴": [ - "ㄍㄥ4" - ], - "䱵": [ - "ㄨㄥ1" - ], - "䱶": [ - "ㄌㄤ2" - ], - "䱷": [ - "ㄩ2" - ], - "䱸": [ - "ㄙㄡ1", - "ㄑㄧㄡ1" - ], - "䱹": [ - "ㄓㄚ3" - ], - "䱺": [ - "ㄏㄞ2" - ], - "䱻": [ - "ㄏㄨㄚ2" - ], - "䱼": [ - "ㄓㄢ3" - ], - "䱽": [ - "ㄔㄤ1" - ], - "䱾": [ - "ㄌㄡ2" - ], - "䱿": [ - "ㄔㄢ4" - ], - "䲀": [ - "ㄓ4" - ], - "䲁": [ - "ㄨㄟ4" - ], - "䲂": [ - "ㄒㄩㄢ2" - ], - "䲃": [ - "ㄗㄠ3", - "ㄙㄨㄛ3", - "ㄔㄠ2" - ], - "䲄": [ - "ㄇㄧㄣ2" - ], - "䲅": [ - "ㄍㄨㄟ1" - ], - "䲆": [ - "ㄙㄨ1" - ], - "䲉": [ - "ㄙ1" - ], - "䲊": [ - "ㄉㄨㄛ4", - "ㄨㄟ3", - "ㄊㄨㄛ4" - ], - "䲋": [ - "ㄘㄣ2" - ], - "䲌": [ - "ㄎㄨㄢ3" - ], - "䲍": [ - "ㄊㄥ2" - ], - "䲎": [ - "ㄋㄟ3" - ], - "䲏": [ - "ㄌㄠ2" - ], - "䲐": [ - "ㄌㄨ3" - ], - "䲑": [ - "ㄧ2" - ], - "䲒": [ - "ㄒㄧㄝ4" - ], - "䲓": [ - "ㄧㄢ3", - "ㄧㄢ2" - ], - "䲔": [ - "ㄑㄧㄥ2" - ], - "䲕": [ - "ㄆㄨ1" - ], - "䲖": [ - "ㄔㄡ2" - ], - "䲗": [ - "ㄒㄧㄢ2" - ], - "䲘": [ - "ㄍㄨㄢ3" - ], - "䲙": [ - "ㄐㄧㄝ2" - ], - "䲚": [ - "ㄌㄞ4" - ], - "䲛": [ - "ㄇㄥ2" - ], - "䲜": [ - "ㄧㄝ4" - ], - "䲞": [ - "ㄌㄧ4" - ], - "䲟": [ - "ㄧㄣ4" - ], - "䲠": [ - "ㄔㄨㄣ1" - ], - "䲡": [ - "ㄑㄧㄡ1" - ], - "䲢": [ - "ㄊㄥ2" - ], - "䲣": [ - "ㄩ2" - ], - "䲦": [ - "ㄉㄞ4" - ], - "䲧": [ - "ㄉㄨ4" - ], - "䲨": [ - "ㄏㄨㄥ2" - ], - "䲪": [ - "ㄒㄧ4" - ], - "䲬": [ - "ㄑㄧ2" - ], - "䲮": [ - "ㄩㄢ2" - ], - "䲯": [ - "ㄐㄧ2" - ], - "䲰": [ - "ㄩㄣ4" - ], - "䲱": [ - "ㄈㄤ3" - ], - "䲲": [ - "ㄍㄨㄥ1", - "ㄙㄨㄥ1" - ], - "䲳": [ - "ㄏㄤ2" - ], - "䲴": [ - "ㄓㄣ4" - ], - "䲵": [ - "ㄑㄩㄝ4" - ], - "䲸": [ - "ㄐㄧㄝ4" - ], - "䲹": [ - "ㄆㄧ2" - ], - "䲺": [ - "ㄍㄢ4" - ], - "䲻": [ - "ㄒㄩㄢ2", - "ㄩㄢ1" - ], - "䲼": [ - "ㄕㄥ1" - ], - "䲽": [ - "ㄕ2", - "ㄉㄧㄠ3" - ], - "䲾": [ - "ㄑㄧㄠ3" - ], - "䲿": [ - "ㄘ2" - ], - "䳀": [ - "ㄉㄧㄝ2", - "ㄧ4" - ], - "䳁": [ - "ㄅㄛ2" - ], - "䳂": [ - "ㄉㄧㄠ1", - "ㄔㄠ1", - "ㄊㄧㄠ2", - "ㄒㄧㄠ1" - ], - "䳃": [ - "ㄨㄢ3" - ], - "䳄": [ - "ㄘ2" - ], - "䳅": [ - "ㄓ3", - "ㄓ4" - ], - "䳆": [ - "ㄅㄞ2" - ], - "䳇": [ - "ㄨ3" - ], - "䳈": [ - "ㄅㄠ3" - ], - "䳉": [ - "ㄉㄨㄥ1", - "ㄉㄢ4" - ], - "䳊": [ - "ㄅㄚ2" - ], - "䳋": [ - "ㄊㄨㄥ2", - "ㄊㄨㄥ1", - "ㄒㄧㄠ1" - ], - "䳍": [ - "ㄍㄨㄥ1" - ], - "䳎": [ - "ㄐㄧㄡ4" - ], - "䳏": [ - "ㄍㄨㄟ4", - "ㄐㄩㄝ2" - ], - "䳐": [ - "ㄘ4" - ], - "䳑": [ - "ㄧㄡ3" - ], - "䳒": [ - "ㄩㄢ2" - ], - "䳓": [ - "ㄌㄠ3" - ], - "䳔": [ - "ㄐㄩ2", - "ㄐㄧㄡ4" - ], - "䳕": [ - "ㄈㄨ2" - ], - "䳖": [ - "ㄋㄧㄝ4" - ], - "䳗": [ - "ㄜ2" - ], - "䳘": [ - "ㄜ2" - ], - "䳙": [ - "ㄒㄧㄥ3" - ], - "䳚": [ - "ㄎㄢ4", - "ㄏㄜ2" - ], - "䳛": [ - "ㄧㄢ4" - ], - "䳜": [ - "ㄊㄨ2" - ], - "䳝": [ - "ㄆㄡ3", - "ㄅㄨ4" - ], - "䳞": [ - "ㄅㄥ3" - ], - "䳟": [ - "ㄇㄧㄥ2" - ], - "䳠": [ - "ㄕㄨㄟ4", - "ㄓㄨ4" - ], - "䳡": [ - "ㄧㄢ4", - "ㄓㄨㄟ1" - ], - "䳢": [ - "ㄑㄧ2" - ], - "䳣": [ - "ㄩㄢ2" - ], - "䳤": [ - "ㄅㄧㄝ1" - ], - "䳦": [ - "ㄒㄩㄢ1" - ], - "䳧": [ - "ㄏㄡ2" - ], - "䳨": [ - "ㄏㄨㄤ2" - ], - "䳩": [ - "ㄧㄠ1" - ], - "䳪": [ - "ㄐㄩㄢ4" - ], - "䳫": [ - "ㄎㄨㄟ2" - ], - "䳬": [ - "ㄜ4" - ], - "䳭": [ - "ㄐㄧ2" - ], - "䳮": [ - "ㄇㄛ4" - ], - "䳯": [ - "ㄔㄨㄥ2", - "ㄔㄨㄥ3" - ], - "䳰": [ - "ㄅㄠ3" - ], - "䳱": [ - "ㄨ4" - ], - "䳲": [ - "ㄓㄣ4" - ], - "䳳": [ - "ㄒㄩ4" - ], - "䳴": [ - "ㄊㄚ4", - "ㄉㄚ2" - ], - "䳵": [ - "ㄔ4" - ], - "䳶": [ - "ㄒㄧ1", - "ㄑㄧ1", - "ㄐㄧ1" - ], - "䳷": [ - "ㄘㄨㄥ2" - ], - "䳸": [ - "ㄇㄚ2" - ], - "䳹": [ - "ㄎㄡ4" - ], - "䳺": [ - "ㄧㄢ4" - ], - "䳻": [ - "ㄘㄢ2", - "ㄓㄢ4" - ], - "䳽": [ - "ㄏㄜ4" - ], - "䳾": [ - "ㄉㄥ1" - ], - "䳿": [ - "ㄖㄢ2" - ], - "䴀": [ - "ㄊㄨㄥ2" - ], - "䴁": [ - "ㄩ4", - "ㄩ2" - ], - "䴂": [ - "ㄒㄧㄤ4" - ], - "䴃": [ - "ㄋㄠ2" - ], - "䴄": [ - "ㄕㄨㄣ4" - ], - "䴅": [ - "ㄈㄣ2" - ], - "䴆": [ - "ㄆㄨ2", - "ㄆㄨ1" - ], - "䴇": [ - "ㄌㄧㄥ2" - ], - "䴈": [ - "ㄠ3" - ], - "䴉": [ - "ㄏㄨㄢ2", - "ㄒㄩㄢ2" - ], - "䴊": [ - "ㄧ2" - ], - "䴋": [ - "ㄏㄨㄢ2", - "ㄒㄩㄢ2" - ], - "䴌": [ - "ㄇㄥ2" - ], - "䴍": [ - "ㄧㄥ1" - ], - "䴎": [ - "ㄌㄟ3" - ], - "䴏": [ - "ㄧㄢ4" - ], - "䴐": [ - "ㄅㄠ3" - ], - "䴑": [ - "ㄉㄧㄝ2" - ], - "䴒": [ - "ㄌㄧㄥ2" - ], - "䴓": [ - "ㄕ1" - ], - "䴔": [ - "ㄐㄧㄠ1" - ], - "䴕": [ - "ㄌㄧㄝ4" - ], - "䴖": [ - "ㄐㄧㄥ1" - ], - "䴗": [ - "ㄐㄩ2" - ], - "䴘": [ - "ㄊㄧ1" - ], - "䴙": [ - "ㄆㄧ4" - ], - "䴚": [ - "ㄍㄤ3" - ], - "䴛": [ - "ㄒㄧㄠ1" - ], - "䴜": [ - "ㄨㄞ1" - ], - "䴝": [ - "ㄔㄨㄞ4" - ], - "䴞": [ - "ㄉㄧ2" - ], - "䴟": [ - "ㄏㄨㄢ2" - ], - "䴠": [ - "ㄧㄠ3" - ], - "䴡": [ - "ㄌㄧ4" - ], - "䴢": [ - "ㄇㄧ2" - ], - "䴣": [ - "ㄏㄨ1" - ], - "䴤": [ - "ㄕㄥ1" - ], - "䴥": [ - "ㄐㄧㄚ1" - ], - "䴦": [ - "ㄧㄣ2" - ], - "䴧": [ - "ㄨㄟ1" - ], - "䴩": [ - "ㄆㄧㄠ2" - ], - "䴪": [ - "ㄌㄨ4" - ], - "䴫": [ - "ㄌㄧㄥ2" - ], - "䴬": [ - "ㄧ4" - ], - "䴭": [ - "ㄘㄞ2" - ], - "䴮": [ - "ㄕㄢ4" - ], - "䴯": [ - "ㄏㄨ1" - ], - "䴰": [ - "ㄕㄨ2", - "ㄧ4" - ], - "䴱": [ - "ㄊㄨㄛ1" - ], - "䴲": [ - "ㄇㄛ4" - ], - "䴳": [ - "ㄏㄨㄚ2" - ], - "䴴": [ - "ㄊㄧㄝ4", - "ㄋㄧㄢ2" - ], - "䴵": [ - "ㄅㄧㄥ3" - ], - "䴶": [ - "ㄆㄥ2" - ], - "䴷": [ - "ㄏㄨㄣ2", - "ㄏㄨㄢ4" - ], - "䴸": [ - "ㄈㄨ1" - ], - "䴹": [ - "ㄍㄨㄛ3", - "ㄌㄨㄛ3", - "ㄏㄨㄣ2" - ], - "䴺": [ - "ㄅㄨ4" - ], - "䴻": [ - "ㄌㄧ2" - ], - "䴼": [ - "ㄔㄢ4" - ], - "䴽": [ - "ㄆㄧ2" - ], - "䴾": [ - "ㄘㄨㄛ2" - ], - "䴿": [ - "ㄇㄥ2" - ], - "䵀": [ - "ㄙㄨㄛ3", - "ㄙㄨㄛ4" - ], - "䵁": [ - "ㄑㄧㄤ4" - ], - "䵂": [ - "ㄓ2" - ], - "䵃": [ - "ㄎㄨㄤ4", - "ㄏㄨㄤ2" - ], - "䵄": [ - "ㄅㄧ2" - ], - "䵅": [ - "ㄠ2" - ], - "䵆": [ - "ㄇㄥ2" - ], - "䵇": [ - "ㄒㄧㄢ4" - ], - "䵈": [ - "ㄎㄨ4" - ], - "䵉": [ - "ㄊㄡ2" - ], - "䵊": [ - "ㄊㄨㄢ1" - ], - "䵋": [ - "ㄨㄟ3" - ], - "䵌": [ - "ㄒㄧㄢ1" - ], - "䵎": [ - "ㄊㄨㄢ1" - ], - "䵏": [ - "ㄌㄠ3" - ], - "䵐": [ - "ㄔㄢ3" - ], - "䵑": [ - "ㄋㄧ4" - ], - "䵒": [ - "ㄋㄧ4" - ], - "䵓": [ - "ㄌㄧ2" - ], - "䵔": [ - "ㄉㄨㄥ3" - ], - "䵕": [ - "ㄐㄩ4" - ], - "䵖": [ - "ㄑㄧㄢ4", - "ㄑㄧㄣ1" - ], - "䵗": [ - "ㄅㄛ2", - "ㄅㄧ2" - ], - "䵘": [ - "ㄕㄞ4" - ], - "䵙": [ - "ㄓㄚ1", - "ㄓㄚ3" - ], - "䵚": [ - "ㄊㄠ3" - ], - "䵛": [ - "ㄑㄧㄢ4" - ], - "䵜": [ - "ㄋㄨㄥ3" - ], - "䵝": [ - "ㄧ4", - "ㄧㄚ4" - ], - "䵞": [ - "ㄐㄧㄥ4" - ], - "䵟": [ - "ㄍㄢ3" - ], - "䵠": [ - "ㄉㄧ2", - "ㄓㄨㄛ2" - ], - "䵡": [ - "ㄐㄧㄢ3" - ], - "䵢": [ - "ㄇㄟ4" - ], - "䵣": [ - "ㄉㄚ2" - ], - "䵤": [ - "ㄐㄧㄢ3", - "ㄒㄧㄢ4" - ], - "䵥": [ - "ㄩ4" - ], - "䵦": [ - "ㄒㄧㄝ4", - "ㄨ1" - ], - "䵧": [ - "ㄗㄞ4" - ], - "䵨": [ - "ㄇㄤ2" - ], - "䵩": [ - "ㄌㄧ2" - ], - "䵪": [ - "ㄍㄨㄣ4", - "ㄏㄨㄣ4" - ], - "䵫": [ - "ㄒㄩㄣ1", - "ㄩ4" - ], - "䵬": [ - "ㄊㄚ4" - ], - "䵭": [ - "ㄓㄜ4" - ], - "䵮": [ - "ㄧㄤ4" - ], - "䵯": [ - "ㄊㄨㄢ3" - ], - "䵰": [ - "ㄕㄤ1" - ], - "䵱": [ - "ㄒㄧ4", - "ㄒㄧ1" - ], - "䵲": [ - "ㄑㄧㄠ1" - ], - "䵳": [ - "ㄨㄟ4" - ], - "䵴": [ - "ㄧㄥ4", - "ㄗㄥ4", - "ㄩㄣ4" - ], - "䵵": [ - "ㄔㄨㄚ1", - "ㄓㄨㄛ2" - ], - "䵶": [ - "ㄑㄩ2", - "ㄍㄡ1" - ], - "䵷": [ - "ㄨㄚ1" - ], - "䵹": [ - "ㄓ1" - ], - "䵺": [ - "ㄊㄧㄥ3", - "ㄉㄧㄥ3", - "ㄊㄧㄢ3" - ], - "䵻": [ - "ㄏㄨㄟ4", - "ㄍㄨ3" - ], - "䵼": [ - "ㄕㄤ1" - ], - "䵽": [ - "ㄘㄚ4" - ], - "䵾": [ - "ㄈㄨ2", - "ㄈㄨ3" - ], - "䵿": [ - "ㄊㄧㄝ4" - ], - "䶀": [ - "ㄊㄚ4" - ], - "䶁": [ - "ㄊㄚ4" - ], - "䶂": [ - "ㄓㄨㄛ2", - "ㄐㄩㄝ2" - ], - "䶃": [ - "ㄏㄢ2" - ], - "䶄": [ - "ㄆㄧㄥ2" - ], - "䶅": [ - "ㄏㄜ2" - ], - "䶆": [ - "ㄓㄨㄟ1" - ], - "䶇": [ - "ㄓㄡ4" - ], - "䶈": [ - "ㄅㄛ2" - ], - "䶉": [ - "ㄌㄧㄡ2" - ], - "䶊": [ - "ㄋㄩ4" - ], - "䶋": [ - "ㄒㄧ1" - ], - "䶌": [ - "ㄆㄠ4" - ], - "䶍": [ - "ㄉㄧ4" - ], - "䶎": [ - "ㄏㄜ1" - ], - "䶏": [ - "ㄊㄧ4", - "ㄊㄧ3" - ], - "䶐": [ - "ㄨㄞ4", - "ㄏㄨㄟ4" - ], - "䶑": [ - "ㄊㄧ4" - ], - "䶒": [ - "ㄑㄧ2" - ], - "䶓": [ - "ㄐㄧ4" - ], - "䶔": [ - "ㄔ2" - ], - "䶕": [ - "ㄅㄚ4", - "ㄅㄚ1" - ], - "䶖": [ - "ㄐㄧㄣ4" - ], - "䶗": [ - "ㄎㄜ4", - "ㄑㄧㄚ1", - "ㄑㄧㄚ3" - ], - "䶘": [ - "ㄌㄧ4" - ], - "䶙": [ - "ㄐㄩ4" - ], - "䶚": [ - "ㄑㄩ3" - ], - "䶛": [ - "ㄌㄚ4" - ], - "䶜": [ - "ㄍㄨ3" - ], - "䶝": [ - "ㄑㄧㄚ4" - ], - "䶞": [ - "ㄑㄧ2" - ], - "䶟": [ - "ㄒㄧㄢ4" - ], - "䶠": [ - "ㄐㄧㄢ3" - ], - "䶡": [ - "ㄕ2", - "ㄗㄜ2" - ], - "䶢": [ - "ㄐㄧㄢ1", - "ㄒㄧㄢ2" - ], - "䶣": [ - "ㄞ2", - "ㄍㄞ1" - ], - "䶤": [ - "ㄏㄨㄚ2" - ], - "䶥": [ - "ㄓㄚ1", - "ㄐㄩ3", - "ㄔㄨ3" - ], - "䶦": [ - "ㄗㄜ2" - ], - "䶧": [ - "ㄧㄠ3" - ], - "䶨": [ - "ㄓㄢ1" - ], - "䶩": [ - "ㄐㄧ4" - ], - "䶪": [ - "ㄔㄚ4" - ], - "䶫": [ - "ㄧㄢ4", - "ㄧㄢ2" - ], - "䶬": [ - "ㄐㄧㄢ1" - ], - "䶮": [ - "ㄧㄢ3" - ], - "䶰": [ - "ㄐㄧㄠ1" - ], - "䶱": [ - "ㄊㄨㄥ2" - ], - "䶲": [ - "ㄋㄢ2" - ], - "䶳": [ - "ㄩㄝ4" - ], - "䶵": [ - "ㄔ2" - ], - "一": [ - "ㄧ1", - "ㄧ2", - "ㄧ4" - ], - "丁": [ - "ㄉㄧㄥ1", - "ㄓㄥ1" - ], - "丂": [ - "ㄎㄠ3", - "ㄑㄧㄠ3", - "ㄩ2" - ], - "七": [ - "ㄑㄧ1", - "ㄑㄧ2" - ], - "丄": [ - "ㄕㄤ4" - ], - "丅": [ - "ㄒㄧㄚ4" - ], - "丆": [ - "ㄏㄢ3" - ], - "万": [ - "ㄨㄢ4", - "ㄇㄛ4" - ], - "丈": [ - "ㄓㄤ4" - ], - "三": [ - "ㄙㄢ1" - ], - "上": [ - "ㄕㄤ4", - "ㄕㄤ3" - ], - "下": [ - "ㄒㄧㄚ4" - ], - "丌": [ - "ㄐㄧ1", - "ㄑㄧ2" - ], - "不": [ - "ㄅㄨ4", - "ㄈㄡ3", - "ㄈㄡ1", - "ㄈㄨ1", - "ㄅㄨ2" - ], - "与": [ - "ㄩ3", - "ㄩ4", - "ㄩ2" - ], - "丏": [ - "ㄇㄧㄢ3" - ], - "丐": [ - "ㄍㄞ4" - ], - "丑": [ - "ㄔㄡ3" - ], - "丒": [ - "ㄔㄡ3" - ], - "专": [ - "ㄓㄨㄢ1" - ], - "且": [ - "ㄑㄧㄝ3", - "ㄐㄩ1", - "ㄘㄨ2" - ], - "丕": [ - "ㄆㄧ1" - ], - "世": [ - "ㄕ4" - ], - "丗": [ - "ㄕ4" - ], - "丘": [ - "ㄑㄧㄡ1" - ], - "丙": [ - "ㄅㄧㄥ3", - "ㄅㄧㄥ4" - ], - "业": [ - "ㄧㄝ4" - ], - "丛": [ - "ㄘㄨㄥ2" - ], - "东": [ - "ㄉㄨㄥ1" - ], - "丝": [ - "ㄙ1" - ], - "丞": [ - "ㄔㄥ2", - "ㄕㄥ4", - "ㄓㄥ1", - "ㄓㄥ3" - ], - "丟": [ - "ㄉㄧㄡ1" - ], - "丠": [ - "ㄑㄧㄡ1" - ], - "両": [ - "ㄌㄧㄤ3" - ], - "丢": [ - "ㄉㄧㄡ1" - ], - "丣": [ - "ㄧㄡ3" - ], - "两": [ - "ㄌㄧㄤ3" - ], - "严": [ - "ㄧㄢ2" - ], - "並": [ - "ㄅㄧㄥ4", - "ㄅㄢ4", - "ㄅㄤ4" - ], - "丧": [ - "ㄙㄤ4", - "ㄙㄤ1" - ], - "丨": [ - "ㄍㄨㄣ3" - ], - "丩": [ - "ㄐㄧㄡ1" - ], - "个": [ - "ㄍㄜ4", - "ㄍㄜ3", - "ㄍㄢ4" - ], - "丫": [ - "ㄧㄚ1" - ], - "丬": [ - "ㄑㄧㄤ2" - ], - "中": [ - "ㄓㄨㄥ1", - "ㄓㄨㄥ4" - ], - "丮": [ - "ㄐㄧ3" - ], - "丯": [ - "ㄐㄧㄝ4" - ], - "丰": [ - "ㄈㄥ1" - ], - "丱": [ - "ㄍㄨㄢ4", - "ㄎㄨㄤ4" - ], - "串": [ - "ㄔㄨㄢ4", - "ㄍㄨㄢ4", - "ㄑㄩㄢ4" - ], - "丳": [ - "ㄔㄢ3", - "ㄔㄨㄢ4" - ], - "临": [ - "ㄌㄧㄣ2" - ], - "丵": [ - "ㄓㄨㄛ2" - ], - "丶": [ - "ㄓㄨ3" - ], - "丷": [ - "ㄅㄚ1" - ], - "丸": [ - "ㄨㄢ2" - ], - "丹": [ - "ㄉㄢ1" - ], - "为": [ - "ㄨㄟ4", - "ㄨㄟ2" - ], - "主": [ - "ㄓㄨ3", - "ㄓㄨ4" - ], - "丼": [ - "ㄐㄧㄥ3", - "ㄉㄢ3" - ], - "丽": [ - "ㄌㄧ4", - "ㄌㄧ2" - ], - "举": [ - "ㄐㄩ3" - ], - "丿": [ - "ㄆㄧㄝ3", - "ㄧ4" - ], - "乀": [ - "ㄈㄨ2" - ], - "乁": [ - "ㄧ2", - "ㄐㄧ2" - ], - "乂": [ - "ㄧ4", - "ㄞ4" - ], - "乃": [ - "ㄋㄞ3", - "ㄞ3" - ], - "乄": [ - "ㄨ3" - ], - "久": [ - "ㄐㄧㄡ3" - ], - "乆": [ - "ㄐㄧㄡ3" - ], - "乇": [ - "ㄊㄨㄛ1", - "ㄓㄜ2" - ], - "么": [ - "ㄇㄜ5", - "ㄧㄠ1", - "ㄇㄛ2", - "ㄇㄚ5" - ], - "义": [ - "ㄧ4" - ], - "乊": [ - "ㄧ1" - ], - "之": [ - "ㄓ1", - "ㄓㄨ1", - "ㄓ4" - ], - "乌": [ - "ㄨ1", - "ㄨ4" - ], - "乍": [ - "ㄓㄚ4", - "ㄗㄨㄛ4" - ], - "乎": [ - "ㄏㄨ1" - ], - "乏": [ - "ㄈㄚ2" - ], - "乐": [ - "ㄌㄜ4", - "ㄩㄝ4" - ], - "乑": [ - "ㄧㄣ2", - "ㄆㄢ1", - "ㄓㄨㄥ4" - ], - "乒": [ - "ㄆㄧㄥ1" - ], - "乓": [ - "ㄆㄤ1" - ], - "乔": [ - "ㄑㄧㄠ2" - ], - "乕": [ - "ㄏㄨ3" - ], - "乖": [ - "ㄍㄨㄞ1" - ], - "乗": [ - "ㄔㄥ2" - ], - "乘": [ - "ㄔㄥ2", - "ㄕㄥ4" - ], - "乙": [ - "ㄧ3", - "ㄧ4", - "ㄐㄩㄝ2" - ], - "乚": [ - "ㄧㄣ3" - ], - "乛": [ - "ㄧㄚ5" - ], - "乜": [ - "ㄇㄧㄝ1", - "ㄋㄧㄝ4" - ], - "九": [ - "ㄐㄧㄡ3", - "ㄐㄧㄡ1" - ], - "乞": [ - "ㄑㄧ3", - "ㄑㄧ4" - ], - "也": [ - "ㄧㄝ3", - "ㄧ2" - ], - "习": [ - "ㄒㄧ2" - ], - "乡": [ - "ㄒㄧㄤ1" - ], - "乢": [ - "ㄍㄞ4" - ], - "乣": [ - "ㄐㄧㄡ3" - ], - "乤": [ - "ㄒㄧㄚ4" - ], - "乥": [ - "ㄏㄨ4" - ], - "书": [ - "ㄕㄨ1" - ], - "乧": [ - "ㄉㄡ3" - ], - "乨": [ - "ㄕ3" - ], - "乩": [ - "ㄐㄧ1" - ], - "乪": [ - "ㄋㄤ2" - ], - "乫": [ - "ㄐㄧㄚ1" - ], - "乬": [ - "ㄐㄩ4" - ], - "乭": [ - "ㄕ2" - ], - "乮": [ - "ㄇㄠ3" - ], - "乯": [ - "ㄏㄨ1" - ], - "买": [ - "ㄇㄞ3" - ], - "乱": [ - "ㄌㄨㄢ4" - ], - "乲": [ - "ㄗ1" - ], - "乳": [ - "ㄖㄨ3" - ], - "乴": [ - "ㄒㄩㄝ2" - ], - "乵": [ - "ㄧㄢ3" - ], - "乶": [ - "ㄈㄨ3" - ], - "乷": [ - "ㄕㄚ1" - ], - "乸": [ - "ㄋㄚ3" - ], - "乹": [ - "ㄍㄢ1" - ], - "乺": [ - "ㄙㄨㄛ3" - ], - "乻": [ - "ㄩ2" - ], - "乼": [ - "ㄘㄨㄟ5" - ], - "乽": [ - "ㄓㄜ3" - ], - "乾": [ - "ㄑㄧㄢ2", - "ㄍㄢ1" - ], - "乿": [ - "ㄓ4", - "ㄌㄨㄢ4" - ], - "亀": [ - "ㄍㄨㄟ1" - ], - "亁": [ - "ㄍㄢ1" - ], - "亂": [ - "ㄌㄨㄢ4" - ], - "亃": [ - "ㄌㄧㄣ3", - "ㄌㄧㄣ4" - ], - "亄": [ - "ㄧ4" - ], - "亅": [ - "ㄐㄩㄝ2" - ], - "了": [ - "ㄌㄜ5", - "ㄌㄧㄠ3", - "ㄌㄧㄠ4" - ], - "亇": [ - "ㄇㄚ5" - ], - "予": [ - "ㄩ3", - "ㄩ2", - "ㄓㄨ4" - ], - "争": [ - "ㄓㄥ1" - ], - "亊": [ - "ㄕ4" - ], - "事": [ - "ㄕ4", - "ㄗ4" - ], - "二": [ - "ㄦ4" - ], - "亍": [ - "ㄔㄨ4" - ], - "于": [ - "ㄩ2", - "ㄨㄟ2", - "ㄩ1", - "ㄒㄩ1" - ], - "亏": [ - "ㄎㄨㄟ1", - "ㄩ2" - ], - "亐": [ - "ㄩ2" - ], - "云": [ - "ㄩㄣ2" - ], - "互": [ - "ㄏㄨ4" - ], - "亓": [ - "ㄑㄧ2" - ], - "五": [ - "ㄨ3" - ], - "井": [ - "ㄐㄧㄥ3", - "ㄐㄧㄥ4" - ], - "亖": [ - "ㄙ4" - ], - "亗": [ - "ㄙㄨㄟ4" - ], - "亘": [ - "ㄍㄣ4", - "ㄒㄩㄢ1", - "ㄍㄥ4" - ], - "亙": [ - "ㄍㄣ4", - "ㄍㄥ4" - ], - "亚": [ - "ㄧㄚ4" - ], - "些": [ - "ㄒㄧㄝ1", - "ㄙㄨㄛ4", - "ㄙㄨㄛ1" - ], - "亜": [ - "ㄧㄚ4" - ], - "亝": [ - "ㄑㄧ2", - "ㄓㄞ1" - ], - "亞": [ - "ㄧㄚ4", - "ㄧㄚ1", - "ㄜ4" - ], - "亟": [ - "ㄐㄧ2", - "ㄑㄧ4" - ], - "亠": [ - "ㄊㄡ2" - ], - "亡": [ - "ㄨㄤ2", - "ㄨ2" - ], - "亢": [ - "ㄎㄤ4", - "ㄍㄤ1", - "ㄍㄥ1" - ], - "亣": [ - "ㄉㄚ4" - ], - "交": [ - "ㄐㄧㄠ1" - ], - "亥": [ - "ㄏㄞ4", - "ㄐㄧㄝ1" - ], - "亦": [ - "ㄧ4" - ], - "产": [ - "ㄔㄢ3" - ], - "亨": [ - "ㄏㄥ1", - "ㄒㄧㄤ3", - "ㄆㄥ1" - ], - "亩": [ - "ㄇㄨ3" - ], - "亪": [ - "ㄧㄝ5" - ], - "享": [ - "ㄒㄧㄤ3" - ], - "京": [ - "ㄐㄧㄥ1" - ], - "亭": [ - "ㄊㄧㄥ2" - ], - "亮": [ - "ㄌㄧㄤ4", - "ㄌㄧㄤ2" - ], - "亯": [ - "ㄒㄧㄤ3" - ], - "亰": [ - "ㄐㄧㄥ1" - ], - "亱": [ - "ㄧㄝ4" - ], - "亲": [ - "ㄑㄧㄣ1", - "ㄑㄧㄥ4" - ], - "亳": [ - "ㄅㄛ2" - ], - "亴": [ - "ㄧㄡ4" - ], - "亵": [ - "ㄒㄧㄝ4" - ], - "亶": [ - "ㄉㄢ3", - "ㄉㄢ4", - "ㄔㄢ2", - "ㄓㄢ1" - ], - "亷": [ - "ㄌㄧㄢ2" - ], - "亸": [ - "ㄉㄨㄛ3" - ], - "亹": [ - "ㄨㄟ3", - "ㄇㄣ2" - ], - "人": [ - "ㄖㄣ2" - ], - "亻": [ - "ㄖㄣ2" - ], - "亼": [ - "ㄐㄧ2" - ], - "亽": [ - "ㄐㄧ2" - ], - "亾": [ - "ㄨㄤ2" - ], - "亿": [ - "ㄧ4" - ], - "什": [ - "ㄕㄣ2", - "ㄕ2" - ], - "仁": [ - "ㄖㄣ2" - ], - "仂": [ - "ㄌㄜ4", - "ㄌㄧ4" - ], - "仃": [ - "ㄉㄧㄥ1", - "ㄉㄧㄥ3" - ], - "仄": [ - "ㄗㄜ4" - ], - "仅": [ - "ㄐㄧㄣ3", - "ㄈㄨ4", - "ㄋㄨ2", - "ㄐㄧㄣ4" - ], - "仆": [ - "ㄆㄨ1", - "ㄆㄨ2" - ], - "仇": [ - "ㄔㄡ2", - "ㄑㄧㄡ2", - "ㄐㄩ1" - ], - "仈": [ - "ㄅㄚ1" - ], - "仉": [ - "ㄓㄤ3" - ], - "今": [ - "ㄐㄧㄣ1" - ], - "介": [ - "ㄐㄧㄝ4", - "ㄍㄜ4" - ], - "仌": [ - "ㄅㄧㄥ1" - ], - "仍": [ - "ㄖㄥ2" - ], - "从": [ - "ㄘㄨㄥ2", - "ㄗㄨㄥ4" - ], - "仏": [ - "ㄈㄛ2" - ], - "仐": [ - "ㄙㄢ3" - ], - "仑": [ - "ㄌㄨㄣ2" - ], - "仒": [ - "ㄅㄧㄥ1" - ], - "仓": [ - "ㄘㄤ1" - ], - "仔": [ - "ㄗㄞ3", - "ㄗ3", - "ㄗ1" - ], - "仕": [ - "ㄕ4" - ], - "他": [ - "ㄊㄚ1", - "ㄊㄨㄛ2" - ], - "仗": [ - "ㄓㄤ4" - ], - "付": [ - "ㄈㄨ4" - ], - "仙": [ - "ㄒㄧㄢ1", - "ㄒㄧㄢ3" - ], - "仚": [ - "ㄒㄧㄢ1" - ], - "仛": [ - "ㄊㄨㄛ1", - "ㄉㄨㄛ2", - "ㄔㄚ4", - "ㄓㄜ2" - ], - "仜": [ - "ㄏㄨㄥ2" - ], - "仝": [ - "ㄊㄨㄥ2" - ], - "仞": [ - "ㄖㄣ4" - ], - "仟": [ - "ㄑㄧㄢ1" - ], - "仠": [ - "ㄍㄢ3", - "ㄏㄢ4" - ], - "仡": [ - "ㄍㄜ1", - "ㄧ4", - "ㄨ4" - ], - "仢": [ - "ㄅㄛ2" - ], - "代": [ - "ㄉㄞ4" - ], - "令": [ - "ㄌㄧㄥ4", - "ㄌㄧㄥ2", - "ㄌㄧㄥ3", - "ㄌㄧㄢ2" - ], - "以": [ - "ㄧ3", - "ㄙ4" - ], - "仦": [ - "ㄔㄠ4" - ], - "仧": [ - "ㄔㄤ2" - ], - "仨": [ - "ㄙㄚ1" - ], - "仩": [ - "ㄔㄤ2" - ], - "仪": [ - "ㄧ2" - ], - "仫": [ - "ㄇㄨ4" - ], - "们": [ - "ㄇㄣ5", - "ㄇㄣ2" - ], - "仭": [ - "ㄖㄣ4" - ], - "仮": [ - "ㄈㄢ3" - ], - "仯": [ - "ㄔㄠ4", - "ㄇㄧㄠ3" - ], - "仰": [ - "ㄧㄤ3", - "ㄤ2" - ], - "仱": [ - "ㄑㄧㄢ2", - "ㄐㄧㄥ1" - ], - "仲": [ - "ㄓㄨㄥ4" - ], - "仳": [ - "ㄆㄧ3", - "ㄆㄧ2", - "ㄅㄧ4" - ], - "仴": [ - "ㄨㄛ4" - ], - "仵": [ - "ㄨ3" - ], - "件": [ - "ㄐㄧㄢ4", - "ㄇㄡ2" - ], - "价": [ - "ㄐㄧㄚ4", - "ㄐㄧㄝ5", - "ㄐㄧㄝ4" - ], - "仸": [ - "ㄧㄠ3", - "ㄈㄛ2" - ], - "仹": [ - "ㄈㄥ1" - ], - "仺": [ - "ㄘㄤ1" - ], - "任": [ - "ㄖㄣ4", - "ㄖㄣ2", - "ㄌㄧㄣ4" - ], - "仼": [ - "ㄨㄤ2" - ], - "份": [ - "ㄈㄣ4", - "ㄅㄧㄣ1" - ], - "仾": [ - "ㄉㄧ1" - ], - "仿": [ - "ㄈㄤ3", - "ㄆㄤ2" - ], - "伀": [ - "ㄓㄨㄥ1" - ], - "企": [ - "ㄑㄧ3" - ], - "伂": [ - "ㄆㄟ4" - ], - "伃": [ - "ㄩ2", - "ㄩ3", - "ㄒㄩ4" - ], - "伄": [ - "ㄉㄧㄠ4" - ], - "伅": [ - "ㄉㄨㄣ4" - ], - "伆": [ - "ㄨ4" - ], - "伇": [ - "ㄧ4" - ], - "伈": [ - "ㄒㄧㄣ3", - "ㄌㄧㄣ3" - ], - "伉": [ - "ㄎㄤ4", - "ㄍㄤ1", - "ㄎㄤ3" - ], - "伊": [ - "ㄧ1" - ], - "伋": [ - "ㄐㄧ2", - "ㄈㄢ2" - ], - "伌": [ - "ㄞ4" - ], - "伍": [ - "ㄨ3" - ], - "伎": [ - "ㄐㄧ4", - "ㄓ4", - "ㄑㄧ2", - "ㄑㄧ4" - ], - "伏": [ - "ㄈㄨ2", - "ㄈㄨ4" - ], - "伐": [ - "ㄈㄚ2" - ], - "休": [ - "ㄒㄧㄡ1", - "ㄒㄩ4" - ], - "伒": [ - "ㄐㄧㄣ4", - "ㄧㄣ2" - ], - "伓": [ - "ㄆㄧ1" - ], - "伔": [ - "ㄉㄢ3" - ], - "伕": [ - "ㄈㄨ1" - ], - "伖": [ - "ㄊㄤ3" - ], - "众": [ - "ㄓㄨㄥ4", - "ㄧㄣ2" - ], - "优": [ - "ㄧㄡ1", - "ㄧㄡ2" - ], - "伙": [ - "ㄏㄨㄛ3", - "ㄏㄨㄛ5" - ], - "会": [ - "ㄏㄨㄟ4", - "ㄎㄨㄞ4" - ], - "伛": [ - "ㄩ3" - ], - "伜": [ - "ㄘㄨㄟ4" - ], - "伝": [ - "ㄩㄣ2" - ], - "伞": [ - "ㄙㄢ3" - ], - "伟": [ - "ㄨㄟ3" - ], - "传": [ - "ㄔㄨㄢ2", - "ㄓㄨㄢ4" - ], - "伡": [ - "ㄔㄜ1" - ], - "伢": [ - "ㄧㄚ2" - ], - "伣": [ - "ㄑㄧㄢ4", - "ㄒㄧㄢ4" - ], - "伤": [ - "ㄕㄤ1" - ], - "伥": [ - "ㄔㄤ1" - ], - "伦": [ - "ㄌㄨㄣ2" - ], - "伧": [ - "ㄘㄤ1", - "ㄔㄣ5" - ], - "伨": [ - "ㄒㄩㄣ4" - ], - "伩": [ - "ㄒㄧㄣ4" - ], - "伪": [ - "ㄨㄟ3" - ], - "伫": [ - "ㄓㄨ4" - ], - "伬": [ - "ㄗㄜ5" - ], - "伭": [ - "ㄒㄧㄢ2" - ], - "伮": [ - "ㄋㄨ3" - ], - "伯": [ - "ㄅㄛ2", - "ㄅㄞ3", - "ㄇㄛ4", - "ㄅㄚ4" - ], - "估": [ - "ㄍㄨ1", - "ㄍㄨ4" - ], - "伱": [ - "ㄋㄧ3" - ], - "伲": [ - "ㄋㄧ4", - "ㄋㄧ2", - "ㄋㄧ3" - ], - "伳": [ - "ㄒㄧㄝ4" - ], - "伴": [ - "ㄅㄢ4", - "ㄆㄢ4" - ], - "伵": [ - "ㄒㄩ4" - ], - "伶": [ - "ㄌㄧㄥ2" - ], - "伷": [ - "ㄓㄡ4" - ], - "伸": [ - "ㄕㄣ1" - ], - "伹": [ - "ㄑㄩ1", - "ㄗㄨ4" - ], - "伺": [ - "ㄘ4", - "ㄙ4" - ], - "伻": [ - "ㄅㄥ1" - ], - "似": [ - "ㄕ4", - "ㄙ4" - ], - "伽": [ - "ㄍㄚ1", - "ㄐㄧㄚ1", - "ㄑㄧㄝ2" - ], - "伾": [ - "ㄆㄧ1" - ], - "伿": [ - "ㄧ4" - ], - "佀": [ - "ㄙ4" - ], - "佁": [ - "ㄧ3", - "ㄞ3", - "ㄙ4", - "ㄔ4" - ], - "佂": [ - "ㄓㄥ1" - ], - "佃": [ - "ㄉㄧㄢ4", - "ㄊㄧㄢ2" - ], - "佄": [ - "ㄏㄢ1", - "ㄍㄢ4" - ], - "佅": [ - "ㄇㄞ4" - ], - "但": [ - "ㄉㄢ4", - "ㄊㄢ3", - "ㄧㄢ4" - ], - "佇": [ - "ㄓㄨ4" - ], - "佈": [ - "ㄅㄨ4" - ], - "佉": [ - "ㄑㄩ1", - "ㄑㄧㄚ1" - ], - "佊": [ - "ㄅㄧ3" - ], - "佋": [ - "ㄓㄠ1", - "ㄕㄠ2", - "ㄕㄠ4" - ], - "佌": [ - "ㄘ3" - ], - "位": [ - "ㄨㄟ4", - "ㄌㄧ4" - ], - "低": [ - "ㄉㄧ1" - ], - "住": [ - "ㄓㄨ4" - ], - "佐": [ - "ㄗㄨㄛ3" - ], - "佑": [ - "ㄧㄡ4" - ], - "佒": [ - "ㄧㄤ3", - "ㄧㄤ1" - ], - "体": [ - "ㄊㄧ3", - "ㄊㄧ1", - "ㄅㄣ4", - "ㄘㄨㄟ4" - ], - "佔": [ - "ㄓㄢ4", - "ㄔㄢ1", - "ㄉㄧㄢ1" - ], - "何": [ - "ㄏㄜ2", - "ㄏㄜ4" - ], - "佖": [ - "ㄅㄧ4" - ], - "佗": [ - "ㄊㄨㄛ2", - "ㄊㄨㄛ1", - "ㄊㄨㄛ4", - "ㄧ2" - ], - "佘": [ - "ㄕㄜ2" - ], - "余": [ - "ㄩ2", - "ㄊㄨ2", - "ㄒㄩ2", - "ㄩ4" - ], - "佚": [ - "ㄧ4", - "ㄉㄧㄝ2" - ], - "佛": [ - "ㄈㄨ2", - "ㄈㄛ2", - "ㄅㄛ2", - "ㄅㄧ4" - ], - "作": [ - "ㄗㄨㄛ4", - "ㄗㄨㄛ1", - "ㄗㄨㄛ2" - ], - "佝": [ - "ㄍㄡ1", - "ㄎㄡ4", - "ㄐㄩ1" - ], - "佞": [ - "ㄋㄧㄥ4" - ], - "佟": [ - "ㄊㄨㄥ2" - ], - "你": [ - "ㄋㄧ3" - ], - "佡": [ - "ㄒㄧㄢ1" - ], - "佢": [ - "ㄑㄩ2" - ], - "佣": [ - "ㄩㄥ1", - "ㄩㄥ4" - ], - "佤": [ - "ㄨㄚ3" - ], - "佥": [ - "ㄑㄧㄢ1" - ], - "佦": [ - "ㄕ5" - ], - "佧": [ - "ㄎㄚ3" - ], - "佨": [ - "ㄅㄠ1" - ], - "佩": [ - "ㄆㄟ4" - ], - "佪": [ - "ㄏㄨㄟ2", - "ㄏㄨㄞ2" - ], - "佫": [ - "ㄏㄜ4", - "ㄍㄜ2" - ], - "佬": [ - "ㄌㄠ3", - "ㄌㄧㄠ2" - ], - "佭": [ - "ㄒㄧㄤ2" - ], - "佮": [ - "ㄍㄜ2", - "ㄜ2" - ], - "佯": [ - "ㄧㄤ2" - ], - "佰": [ - "ㄅㄞ3", - "ㄇㄛ4" - ], - "佱": [ - "ㄈㄚ3" - ], - "佲": [ - "ㄇㄧㄥ3" - ], - "佳": [ - "ㄐㄧㄚ1" - ], - "佴": [ - "ㄦ4", - "ㄋㄞ4" - ], - "併": [ - "ㄅㄧㄥ4" - ], - "佶": [ - "ㄐㄧ2" - ], - "佷": [ - "ㄏㄣ3", - "ㄏㄥ2" - ], - "佸": [ - "ㄏㄨㄛ2" - ], - "佹": [ - "ㄍㄨㄟ3", - "ㄍㄨㄟ1" - ], - "佺": [ - "ㄑㄩㄢ2" - ], - "佻": [ - "ㄊㄧㄠ1", - "ㄊㄧㄠ2", - "ㄊㄧㄠ4", - "ㄉㄧㄠ3", - "ㄧㄠ2", - "ㄉㄠ4", - "ㄓㄠ4" - ], - "佼": [ - "ㄐㄧㄠ3", - "ㄐㄧㄠ1", - "ㄒㄧㄠ2" - ], - "佽": [ - "ㄘ4" - ], - "佾": [ - "ㄧ4" - ], - "使": [ - "ㄕ3" - ], - "侀": [ - "ㄒㄧㄥ2" - ], - "侁": [ - "ㄕㄣ1" - ], - "侂": [ - "ㄊㄨㄛ1" - ], - "侃": [ - "ㄎㄢ3" - ], - "侄": [ - "ㄓ2" - ], - "侅": [ - "ㄍㄞ1", - "ㄏㄞ4" - ], - "來": [ - "ㄌㄞ2", - "ㄌㄞ4" - ], - "侇": [ - "ㄧ2" - ], - "侈": [ - "ㄔ3" - ], - "侉": [ - "ㄎㄨㄚ3", - "ㄏㄨㄚ2", - "ㄜ4", - "ㄨ2" - ], - "侊": [ - "ㄍㄨㄤ1" - ], - "例": [ - "ㄌㄧ4", - "ㄌㄧㄝ4" - ], - "侌": [ - "ㄧㄣ1" - ], - "侍": [ - "ㄕ4" - ], - "侎": [ - "ㄇㄧ3" - ], - "侏": [ - "ㄓㄨ1", - "ㄓㄡ1" - ], - "侐": [ - "ㄒㄩ4" - ], - "侑": [ - "ㄧㄡ4" - ], - "侒": [ - "ㄢ1", - "ㄢ3" - ], - "侓": [ - "ㄌㄨ4" - ], - "侔": [ - "ㄇㄡ2", - "ㄇㄠ2" - ], - "侕": [ - "ㄦ2" - ], - "侖": [ - "ㄌㄨㄣ2", - "ㄌㄨㄣ4" - ], - "侗": [ - "ㄉㄨㄥ4", - "ㄊㄨㄥ1", - "ㄊㄨㄥ2", - "ㄊㄨㄥ3" - ], - "侘": [ - "ㄔㄚ4" - ], - "侙": [ - "ㄔ1" - ], - "侚": [ - "ㄒㄩㄣ4", - "ㄒㄩㄣ2" - ], - "供": [ - "ㄍㄨㄥ1", - "ㄍㄨㄥ4" - ], - "侜": [ - "ㄓㄡ1" - ], - "依": [ - "ㄧ1", - "ㄧ3" - ], - "侞": [ - "ㄖㄨ2" - ], - "侟": [ - "ㄘㄨㄣ2", - "ㄐㄧㄢ4" - ], - "侠": [ - "ㄒㄧㄚ2" - ], - "価": [ - "ㄙ4" - ], - "侢": [ - "ㄉㄞ4" - ], - "侣": [ - "ㄌㄩ3" - ], - "侤": [ - "ㄊㄚ5" - ], - "侥": [ - "ㄐㄧㄠ3", - "ㄧㄠ2" - ], - "侦": [ - "ㄓㄣ1" - ], - "侧": [ - "ㄘㄜ4", - "ㄗㄜ4", - "ㄓㄞ1" - ], - "侨": [ - "ㄑㄧㄠ2" - ], - "侩": [ - "ㄎㄨㄞ4" - ], - "侪": [ - "ㄔㄞ2" - ], - "侫": [ - "ㄋㄧㄥ4" - ], - "侬": [ - "ㄋㄨㄥ2" - ], - "侭": [ - "ㄐㄧㄣ3" - ], - "侮": [ - "ㄨ3" - ], - "侯": [ - "ㄏㄡ2", - "ㄏㄡ4" - ], - "侰": [ - "ㄐㄩㄥ3" - ], - "侱": [ - "ㄔㄥ3", - "ㄊㄧㄥ3" - ], - "侲": [ - "ㄓㄣ4", - "ㄓㄣ1", - "ㄔㄣ1" - ], - "侳": [ - "ㄗㄨㄛ4" - ], - "侴": [ - "ㄔㄡ3" - ], - "侵": [ - "ㄑㄧㄣ1", - "ㄑㄧㄣ3" - ], - "侶": [ - "ㄌㄩ3" - ], - "侷": [ - "ㄐㄩ2" - ], - "侸": [ - "ㄕㄨ4", - "ㄉㄡ1" - ], - "侹": [ - "ㄊㄧㄥ3" - ], - "侺": [ - "ㄕㄣ4" - ], - "侻": [ - "ㄊㄨㄟ4", - "ㄊㄨㄛ1" - ], - "侼": [ - "ㄅㄛ2" - ], - "侽": [ - "ㄋㄢ2" - ], - "侾": [ - "ㄒㄧㄠ1" - ], - "便": [ - "ㄅㄧㄢ4", - "ㄆㄧㄢ2", - "ㄅㄧㄢ1" - ], - "俀": [ - "ㄊㄨㄟ3" - ], - "俁": [ - "ㄩ3" - ], - "係": [ - "ㄒㄧ4" - ], - "促": [ - "ㄘㄨ4", - "ㄔㄨㄛ4" - ], - "俄": [ - "ㄜ2" - ], - "俅": [ - "ㄑㄧㄡ2" - ], - "俆": [ - "ㄒㄩ2", - "ㄕㄨ1" - ], - "俇": [ - "ㄍㄨㄤ4" - ], - "俈": [ - "ㄎㄨ4" - ], - "俉": [ - "ㄨ3", - "ㄨ2" - ], - "俊": [ - "ㄐㄩㄣ4", - "ㄕㄨㄣ4", - "ㄉㄨㄣ1" - ], - "俋": [ - "ㄧ4" - ], - "俌": [ - "ㄈㄨ3" - ], - "俍": [ - "ㄌㄧㄤ2", - "ㄌㄤ3" - ], - "俎": [ - "ㄗㄨ3" - ], - "俏": [ - "ㄑㄧㄠ4", - "ㄒㄧㄠ4", - "ㄒㄧㄠ1" - ], - "俐": [ - "ㄌㄧ4" - ], - "俑": [ - "ㄩㄥ3" - ], - "俒": [ - "ㄏㄨㄣ4" - ], - "俓": [ - "ㄐㄧㄥ4", - "ㄧㄥ2" - ], - "俔": [ - "ㄑㄧㄢ4", - "ㄒㄧㄢ4" - ], - "俕": [ - "ㄙㄢ4" - ], - "俖": [ - "ㄆㄟ3" - ], - "俗": [ - "ㄙㄨ2" - ], - "俘": [ - "ㄈㄨ2" - ], - "俙": [ - "ㄒㄧ1" - ], - "俚": [ - "ㄌㄧ3", - "ㄌㄧ4" - ], - "俛": [ - "ㄈㄨ3", - "ㄇㄧㄢ3" - ], - "俜": [ - "ㄆㄧㄥ1" - ], - "保": [ - "ㄅㄠ3" - ], - "俞": [ - "ㄩ2", - "ㄕㄨ4" - ], - "俟": [ - "ㄑㄧ2", - "ㄙ4" - ], - "俠": [ - "ㄒㄧㄚ2" - ], - "信": [ - "ㄒㄧㄣ4", - "ㄕㄣ1" - ], - "俢": [ - "ㄒㄧㄡ1" - ], - "俣": [ - "ㄩ3" - ], - "俤": [ - "ㄉㄧ4" - ], - "俥": [ - "ㄔㄜ1", - "ㄐㄩ1" - ], - "俦": [ - "ㄔㄡ2" - ], - "俧": [ - "ㄓ4" - ], - "俨": [ - "ㄧㄢ3" - ], - "俩": [ - "ㄌㄧㄚ3", - "ㄌㄧㄤ3" - ], - "俪": [ - "ㄌㄧ4" - ], - "俫": [ - "ㄌㄞ2" - ], - "俬": [ - "ㄙ1" - ], - "俭": [ - "ㄐㄧㄢ3" - ], - "修": [ - "ㄒㄧㄡ1" - ], - "俯": [ - "ㄈㄨ3" - ], - "俰": [ - "ㄏㄨㄛ4" - ], - "俱": [ - "ㄐㄩ4", - "ㄐㄩ1" - ], - "俲": [ - "ㄒㄧㄠ4" - ], - "俳": [ - "ㄆㄞ2" - ], - "俴": [ - "ㄐㄧㄢ4" - ], - "俵": [ - "ㄅㄧㄠ4" - ], - "俶": [ - "ㄔㄨ4", - "ㄕㄨ1", - "ㄊㄧ4" - ], - "俷": [ - "ㄈㄟ4" - ], - "俸": [ - "ㄈㄥ4", - "ㄅㄥ3" - ], - "俹": [ - "ㄧㄚ4", - "ㄧㄚ1" - ], - "俺": [ - "ㄢ3", - "ㄧㄢ4" - ], - "俻": [ - "ㄅㄟ4" - ], - "俼": [ - "ㄩ4" - ], - "俽": [ - "ㄒㄧㄣ1" - ], - "俾": [ - "ㄅㄧ3", - "ㄅㄧ4", - "ㄅㄟ1", - "ㄆㄧ4" - ], - "俿": [ - "ㄏㄨ3", - "ㄔ2" - ], - "倀": [ - "ㄔㄤ1", - "ㄔㄥ2", - "ㄓㄥ4" - ], - "倁": [ - "ㄓ1" - ], - "倂": [ - "ㄅㄧㄥ4" - ], - "倃": [ - "ㄐㄧㄡ4" - ], - "倄": [ - "ㄧㄠ2" - ], - "倅": [ - "ㄘㄨㄟ4", - "ㄗㄨ2" - ], - "倆": [ - "ㄌㄧㄚ3", - "ㄌㄧㄤ3" - ], - "倇": [ - "ㄨㄢ3" - ], - "倈": [ - "ㄌㄞ2", - "ㄌㄞ4", - "ㄌㄧㄝ1" - ], - "倉": [ - "ㄘㄤ1", - "ㄔㄨㄤ4" - ], - "倊": [ - "ㄗㄨㄥ4" - ], - "個": [ - "ㄍㄜ4", - "ㄍㄜ3" - ], - "倌": [ - "ㄍㄨㄢ1" - ], - "倍": [ - "ㄅㄟ4", - "ㄆㄟ2" - ], - "倎": [ - "ㄊㄧㄢ3" - ], - "倏": [ - "ㄕㄨ1" - ], - "倐": [ - "ㄕㄨ1" - ], - "們": [ - "ㄇㄣ5", - "ㄇㄣ4", - "ㄇㄣ2" - ], - "倒": [ - "ㄉㄠ4", - "ㄉㄠ3" - ], - "倓": [ - "ㄊㄢ2", - "ㄉㄢ4", - "ㄊㄢ4" - ], - "倔": [ - "ㄐㄩㄝ2", - "ㄐㄩㄝ4" - ], - "倕": [ - "ㄔㄨㄟ2", - "ㄓㄨㄟ4" - ], - "倖": [ - "ㄒㄧㄥ4" - ], - "倗": [ - "ㄆㄥ2", - "ㄆㄥ3", - "ㄆㄧㄥ2" - ], - "倘": [ - "ㄊㄤ3", - "ㄔㄤ2" - ], - "候": [ - "ㄏㄡ4" - ], - "倚": [ - "ㄧ3", - "ㄐㄧ1", - "ㄧ1" - ], - "倛": [ - "ㄑㄧ1", - "ㄑㄧ2", - "ㄑㄧ4" - ], - "倜": [ - "ㄊㄧ4", - "ㄉㄧㄠ4", - "ㄓㄡ1" - ], - "倝": [ - "ㄍㄢ4" - ], - "倞": [ - "ㄐㄧㄥ4", - "ㄌㄧㄤ4" - ], - "借": [ - "ㄐㄧㄝ4" - ], - "倠": [ - "ㄙㄨㄟ1" - ], - "倡": [ - "ㄔㄤ4", - "ㄔㄤ1" - ], - "倢": [ - "ㄐㄧㄝ2", - "ㄑㄧㄝ4" - ], - "倣": [ - "ㄈㄤ3" - ], - "値": [ - "ㄓ2" - ], - "倥": [ - "ㄎㄨㄥ1", - "ㄎㄨㄥ3" - ], - "倦": [ - "ㄐㄩㄢ4" - ], - "倧": [ - "ㄗㄨㄥ1" - ], - "倨": [ - "ㄐㄩ4" - ], - "倩": [ - "ㄑㄧㄢ4", - "ㄑㄧㄥ4" - ], - "倪": [ - "ㄋㄧ2", - "ㄋㄧ4", - "ㄋㄧㄝ4" - ], - "倫": [ - "ㄌㄨㄣ2" - ], - "倬": [ - "ㄓㄨㄛ1" - ], - "倭": [ - "ㄨㄛ1", - "ㄨㄟ1", - "ㄨㄛ3" - ], - "倮": [ - "ㄌㄨㄛ3" - ], - "倯": [ - "ㄙㄨㄥ1" - ], - "倰": [ - "ㄌㄥ4", - "ㄌㄧㄥ2" - ], - "倱": [ - "ㄏㄨㄣ4" - ], - "倲": [ - "ㄉㄨㄥ1", - "ㄉㄨㄥ4" - ], - "倳": [ - "ㄗ4" - ], - "倴": [ - "ㄅㄣ4", - "ㄅㄣ1" - ], - "倵": [ - "ㄨ3" - ], - "倶": [ - "ㄐㄩ4" - ], - "倷": [ - "ㄋㄞ3" - ], - "倸": [ - "ㄘㄞ3" - ], - "倹": [ - "ㄐㄧㄢ3" - ], - "债": [ - "ㄓㄞ4" - ], - "倻": [ - "ㄧㄝ1" - ], - "值": [ - "ㄓ2" - ], - "倽": [ - "ㄕㄚ4" - ], - "倾": [ - "ㄑㄧㄥ1" - ], - "倿": [ - "ㄋㄧㄥ4" - ], - "偀": [ - "ㄧㄥ1" - ], - "偁": [ - "ㄔㄥ1" - ], - "偂": [ - "ㄑㄧㄢ2" - ], - "偃": [ - "ㄧㄢ3" - ], - "偄": [ - "ㄖㄨㄢ3", - "ㄖㄨ2" - ], - "偅": [ - "ㄓㄨㄥ4", - "ㄔㄨㄥ1", - "ㄊㄨㄥ2" - ], - "偆": [ - "ㄔㄨㄣ3" - ], - "假": [ - "ㄐㄧㄚ3", - "ㄐㄧㄚ4", - "ㄐㄧㄝ5", - "ㄒㄧㄚ4", - "ㄒㄧㄚ2", - "ㄍㄜ2" - ], - "偈": [ - "ㄐㄧ4", - "ㄐㄧㄝ2", - "ㄑㄧ4" - ], - "偉": [ - "ㄨㄟ3" - ], - "偊": [ - "ㄩ3" - ], - "偋": [ - "ㄅㄧㄥ4", - "ㄅㄧㄥ3" - ], - "偌": [ - "ㄖㄨㄛ4", - "ㄖㄜ4" - ], - "偍": [ - "ㄊㄧ2" - ], - "偎": [ - "ㄨㄟ1" - ], - "偏": [ - "ㄆㄧㄢ1" - ], - "偐": [ - "ㄧㄢ4" - ], - "偑": [ - "ㄈㄥ1" - ], - "偒": [ - "ㄊㄤ3", - "ㄉㄤ4" - ], - "偓": [ - "ㄨㄛ4" - ], - "偔": [ - "ㄜ4" - ], - "偕": [ - "ㄒㄧㄝ2", - "ㄐㄧㄝ1" - ], - "偖": [ - "ㄔㄜ3" - ], - "偗": [ - "ㄕㄥ3" - ], - "偘": [ - "ㄎㄢ3" - ], - "偙": [ - "ㄉㄧ4" - ], - "做": [ - "ㄗㄨㄛ4" - ], - "偛": [ - "ㄔㄚ1" - ], - "停": [ - "ㄊㄧㄥ2" - ], - "偝": [ - "ㄅㄟ4" - ], - "偞": [ - "ㄒㄧㄝ4", - "ㄧㄝ4", - "ㄓㄚ2" - ], - "偟": [ - "ㄏㄨㄤ2" - ], - "偠": [ - "ㄧㄠ3" - ], - "偡": [ - "ㄓㄢ4" - ], - "偢": [ - "ㄔㄡ3", - "ㄑㄧㄠ4", - "ㄗㄡ1" - ], - "偣": [ - "ㄧㄢ1" - ], - "偤": [ - "ㄧㄡ2" - ], - "健": [ - "ㄐㄧㄢ4" - ], - "偦": [ - "ㄒㄩ3", - "ㄒㄩ1" - ], - "偧": [ - "ㄓㄚ1" - ], - "偨": [ - "ㄘ1" - ], - "偩": [ - "ㄈㄨ4" - ], - "偪": [ - "ㄅㄧ1", - "ㄈㄨ4" - ], - "偫": [ - "ㄓ4" - ], - "偬": [ - "ㄗㄨㄥ3", - "ㄘㄨㄥ1" - ], - "偭": [ - "ㄇㄧㄢ3" - ], - "偮": [ - "ㄐㄧ2" - ], - "偯": [ - "ㄧ3" - ], - "偰": [ - "ㄒㄧㄝ4" - ], - "偱": [ - "ㄒㄩㄣ2" - ], - "偲": [ - "ㄘㄞ1", - "ㄙ1", - "ㄙ3" - ], - "偳": [ - "ㄉㄨㄢ1" - ], - "側": [ - "ㄘㄜ4", - "ㄗㄜ4", - "ㄓㄞ1" - ], - "偵": [ - "ㄓㄣ1", - "ㄓㄥ1" - ], - "偶": [ - "ㄡ3" - ], - "偷": [ - "ㄊㄡ1" - ], - "偸": [ - "ㄊㄡ1" - ], - "偹": [ - "ㄅㄟ4" - ], - "偺": [ - "ㄗㄚ2", - "ㄗㄢ2", - "ㄗㄢ5" - ], - "偻": [ - "ㄌㄡ2", - "ㄌㄩ3" - ], - "偼": [ - "ㄐㄧㄝ2" - ], - "偽": [ - "ㄨㄟ3", - "ㄨㄟ2", - "ㄜ2", - "ㄍㄨㄟ4" - ], - "偾": [ - "ㄈㄣ4" - ], - "偿": [ - "ㄔㄤ2" - ], - "傀": [ - "ㄍㄨㄟ1", - "ㄎㄨㄟ3", - "ㄎㄨㄞ4" - ], - "傁": [ - "ㄙㄡ3" - ], - "傂": [ - "ㄓ4", - "ㄙ1" - ], - "傃": [ - "ㄙㄨ4" - ], - "傄": [ - "ㄒㄧㄚ1" - ], - "傅": [ - "ㄈㄨ4", - "ㄈㄨ1" - ], - "傆": [ - "ㄩㄢ4", - "ㄩㄢ2" - ], - "傇": [ - "ㄖㄨㄥ3" - ], - "傈": [ - "ㄌㄧ4" - ], - "傉": [ - "ㄋㄨ4" - ], - "傊": [ - "ㄩㄣ4" - ], - "傋": [ - "ㄐㄧㄤ3", - "ㄍㄡ4" - ], - "傌": [ - "ㄇㄚ4", - "ㄇㄚ3" - ], - "傍": [ - "ㄅㄤ4", - "ㄆㄤ2", - "ㄅㄥ1", - "ㄆㄥ2" - ], - "傎": [ - "ㄉㄧㄢ1" - ], - "傏": [ - "ㄊㄤ2" - ], - "傐": [ - "ㄏㄠ4" - ], - "傑": [ - "ㄐㄧㄝ2" - ], - "傒": [ - "ㄒㄧ1", - "ㄒㄧ4" - ], - "傓": [ - "ㄕㄢ4" - ], - "傔": [ - "ㄑㄧㄢ4", - "ㄐㄧㄢ1" - ], - "傕": [ - "ㄐㄩㄝ2", - "ㄑㄩㄝ4" - ], - "傖": [ - "ㄘㄤ1", - "ㄔㄥ2", - "ㄔㄣ5" - ], - "傗": [ - "ㄔㄨ4" - ], - "傘": [ - "ㄙㄢ3" - ], - "備": [ - "ㄅㄟ4" - ], - "傚": [ - "ㄒㄧㄠ4" - ], - "傛": [ - "ㄩㄥ3", - "ㄖㄨㄥ2" - ], - "傜": [ - "ㄧㄠ2" - ], - "傝": [ - "ㄊㄢ4", - "ㄊㄚ4" - ], - "傞": [ - "ㄙㄨㄛ1" - ], - "傟": [ - "ㄧㄤ3" - ], - "傠": [ - "ㄈㄚ2" - ], - "傡": [ - "ㄅㄧㄥ4" - ], - "傢": [ - "ㄐㄧㄚ1", - "ㄒㄧㄤ4" - ], - "傣": [ - "ㄉㄞ3" - ], - "傤": [ - "ㄗㄞ4" - ], - "傥": [ - "ㄊㄤ3" - ], - "傦": [ - "ㄍㄨ3" - ], - "傧": [ - "ㄅㄧㄣ1" - ], - "储": [ - "ㄔㄨ3" - ], - "傩": [ - "ㄋㄨㄛ2" - ], - "傪": [ - "ㄘㄢ1", - "ㄙㄢ3", - "ㄘㄢ4", - "ㄘㄚ1", - "ㄙㄣ1" - ], - "傫": [ - "ㄌㄟ3" - ], - "催": [ - "ㄘㄨㄟ1" - ], - "傭": [ - "ㄩㄥ1", - "ㄔㄨㄥ1", - "ㄩㄥ4" - ], - "傮": [ - "ㄗㄠ1", - "ㄘㄠ2" - ], - "傯": [ - "ㄗㄨㄥ3" - ], - "傰": [ - "ㄅㄥ1", - "ㄆㄥ2" - ], - "傱": [ - "ㄙㄨㄥ3", - "ㄕㄨㄤ3" - ], - "傲": [ - "ㄠ4", - "ㄠ2" - ], - "傳": [ - "ㄔㄨㄢ2", - "ㄓㄨㄢ4" - ], - "傴": [ - "ㄩ3" - ], - "債": [ - "ㄓㄞ4" - ], - "傶": [ - "ㄗㄨ2", - "ㄑㄧ1" - ], - "傷": [ - "ㄕㄤ1" - ], - "傸": [ - "ㄔㄨㄤ3" - ], - "傹": [ - "ㄐㄧㄥ4" - ], - "傺": [ - "ㄔ4" - ], - "傻": [ - "ㄕㄚ3" - ], - "傼": [ - "ㄏㄢ4" - ], - "傽": [ - "ㄓㄤ1" - ], - "傾": [ - "ㄑㄧㄥ1", - "ㄑㄧㄥ3" - ], - "傿": [ - "ㄧㄢ4", - "ㄧㄢ1", - "ㄧㄣ4" - ], - "僀": [ - "ㄉㄧ4" - ], - "僁": [ - "ㄒㄧㄝ4", - "ㄙㄨ4" - ], - "僂": [ - "ㄌㄡ2", - "ㄌㄧㄡ3", - "ㄌㄩ3" - ], - "僃": [ - "ㄅㄟ4" - ], - "僄": [ - "ㄆㄧㄠ4", - "ㄅㄧㄠ1" - ], - "僅": [ - "ㄐㄧㄣ3", - "ㄐㄧㄣ4" - ], - "僆": [ - "ㄌㄧㄢ4", - "ㄌㄧㄢ2" - ], - "僇": [ - "ㄌㄨ4", - "ㄌㄧㄠ2" - ], - "僈": [ - "ㄇㄢ2", - "ㄇㄢ4" - ], - "僉": [ - "ㄑㄧㄢ1" - ], - "僊": [ - "ㄒㄧㄢ1" - ], - "僋": [ - "ㄊㄢ4", - "ㄌㄢ4", - "ㄊㄢ3" - ], - "僌": [ - "ㄧㄥ2" - ], - "働": [ - "ㄉㄨㄥ4" - ], - "僎": [ - "ㄓㄨㄢ4", - "ㄗㄨㄣ1" - ], - "像": [ - "ㄒㄧㄤ4" - ], - "僐": [ - "ㄕㄢ4" - ], - "僑": [ - "ㄑㄧㄠ2", - "ㄐㄧㄠ3" - ], - "僒": [ - "ㄐㄩㄥ3" - ], - "僓": [ - "ㄊㄨㄟ3", - "ㄊㄨㄟ2" - ], - "僔": [ - "ㄗㄨㄣ3", - "ㄘㄨㄢ2" - ], - "僕": [ - "ㄆㄨ2", - "ㄆㄨ1", - "ㄅㄨ2" - ], - "僖": [ - "ㄒㄧ1" - ], - "僗": [ - "ㄌㄠ2", - "ㄌㄠ4" - ], - "僘": [ - "ㄔㄤ3" - ], - "僙": [ - "ㄍㄨㄤ1" - ], - "僚": [ - "ㄌㄧㄠ2", - "ㄌㄧㄠ3", - "ㄌㄠ3" - ], - "僛": [ - "ㄑㄧ1" - ], - "僜": [ - "ㄔㄥ1", - "ㄉㄥ4", - "ㄉㄥ1", - "ㄊㄥ2" - ], - "僝": [ - "ㄔㄢ2", - "ㄓㄨㄢ4" - ], - "僞": [ - "ㄨㄟ3" - ], - "僟": [ - "ㄐㄧ1" - ], - "僠": [ - "ㄅㄛ1" - ], - "僡": [ - "ㄏㄨㄟ4" - ], - "僢": [ - "ㄔㄨㄢ3", - "ㄔㄨㄣ3" - ], - "僣": [ - "ㄊㄧㄝ3", - "ㄐㄧㄢ4" - ], - "僤": [ - "ㄉㄢ4", - "ㄔㄢ2", - "ㄔㄢ3", - "ㄕㄢ4", - "ㄉㄚ2" - ], - "僥": [ - "ㄐㄧㄠ3", - "ㄧㄠ2", - "ㄐㄧㄠ1" - ], - "僦": [ - "ㄐㄧㄡ4" - ], - "僧": [ - "ㄙㄥ1", - "ㄘㄥ2" - ], - "僨": [ - "ㄈㄣ4" - ], - "僩": [ - "ㄒㄧㄢ4" - ], - "僪": [ - "ㄐㄩ2", - "ㄩ4" - ], - "僫": [ - "ㄜ4" - ], - "僬": [ - "ㄐㄧㄠ1", - "ㄐㄧㄠ4", - "ㄐㄧㄠ3" - ], - "僭": [ - "ㄐㄧㄢ4", - "ㄗㄣ4" - ], - "僮": [ - "ㄊㄨㄥ2", - "ㄓㄨㄤ4", - "ㄔㄨㄥ4" - ], - "僯": [ - "ㄌㄧㄣ4", - "ㄌㄧㄣ3" - ], - "僰": [ - "ㄅㄛ2" - ], - "僱": [ - "ㄍㄨ4" - ], - "僲": [ - "ㄒㄧㄢ1" - ], - "僳": [ - "ㄙㄨ4" - ], - "僴": [ - "ㄒㄧㄢ4" - ], - "僵": [ - "ㄐㄧㄤ1" - ], - "僶": [ - "ㄇㄧㄣ3" - ], - "僷": [ - "ㄧㄝ4" - ], - "僸": [ - "ㄐㄧㄣ4" - ], - "價": [ - "ㄐㄧㄚ4", - "ㄑㄧㄚ3", - "ㄐㄧㄝ5" - ], - "僺": [ - "ㄑㄧㄠ4" - ], - "僻": [ - "ㄆㄧ4" - ], - "僼": [ - "ㄈㄥ1" - ], - "僽": [ - "ㄓㄡ4", - "ㄓㄡ1" - ], - "僾": [ - "ㄞ4" - ], - "僿": [ - "ㄙㄞ4" - ], - "儀": [ - "ㄧ2" - ], - "儁": [ - "ㄐㄩㄣ4" - ], - "儂": [ - "ㄋㄨㄥ2" - ], - "儃": [ - "ㄔㄢ2", - "ㄕㄢ4", - "ㄊㄢ3", - "ㄉㄢ4", - "ㄓㄢ3" - ], - "億": [ - "ㄧ4", - "ㄧ1" - ], - "儅": [ - "ㄉㄤ4", - "ㄉㄤ1" - ], - "儆": [ - "ㄐㄧㄥ3" - ], - "儇": [ - "ㄒㄩㄢ1", - "ㄒㄩㄢ2" - ], - "儈": [ - "ㄎㄨㄞ4" - ], - "儉": [ - "ㄐㄧㄢ3" - ], - "儊": [ - "ㄔㄨ4" - ], - "儋": [ - "ㄉㄢ1", - "ㄉㄢ4", - "ㄕㄢ4" - ], - "儌": [ - "ㄐㄧㄠ3", - "ㄐㄧㄠ1" - ], - "儍": [ - "ㄕㄚ3" - ], - "儎": [ - "ㄗㄞ4" - ], - "儏": [ - "ㄘㄢ4" - ], - "儐": [ - "ㄅㄧㄣ1", - "ㄅㄧㄣ4" - ], - "儑": [ - "ㄢ2", - "ㄢ4" - ], - "儒": [ - "ㄖㄨ2" - ], - "儓": [ - "ㄊㄞ2", - "ㄊㄞ4" - ], - "儔": [ - "ㄔㄡ2", - "ㄉㄠ4" - ], - "儕": [ - "ㄔㄞ2" - ], - "儖": [ - "ㄌㄢ2" - ], - "儗": [ - "ㄋㄧ3", - "ㄧ2", - "ㄧ4", - "ㄞ4" - ], - "儘": [ - "ㄐㄧㄣ3", - "ㄐㄧㄣ4" - ], - "儙": [ - "ㄑㄧㄢ4" - ], - "儚": [ - "ㄇㄥ2" - ], - "儛": [ - "ㄨ3" - ], - "儜": [ - "ㄋㄧㄥ2" - ], - "儝": [ - "ㄑㄩㄥ2" - ], - "儞": [ - "ㄋㄧ3" - ], - "償": [ - "ㄔㄤ2" - ], - "儠": [ - "ㄌㄧㄝ4", - "ㄌㄚ4" - ], - "儡": [ - "ㄌㄟ3", - "ㄌㄟ2", - "ㄌㄟ4" - ], - "儢": [ - "ㄌㄩ3" - ], - "儣": [ - "ㄎㄨㄤ3" - ], - "儤": [ - "ㄅㄠ4" - ], - "儥": [ - "ㄩ4", - "ㄉㄧ2", - "ㄉㄨ2" - ], - "儦": [ - "ㄅㄧㄠ1" - ], - "儧": [ - "ㄗㄢ3" - ], - "儨": [ - "ㄓ4" - ], - "儩": [ - "ㄙ4" - ], - "優": [ - "ㄧㄡ1" - ], - "儫": [ - "ㄏㄠ2" - ], - "儬": [ - "ㄑㄧㄥ4" - ], - "儭": [ - "ㄔㄣ4", - "ㄑㄧㄣ4", - "ㄑㄧㄣ1" - ], - "儮": [ - "ㄌㄧ4" - ], - "儯": [ - "ㄊㄥ2" - ], - "儰": [ - "ㄨㄟ3" - ], - "儱": [ - "ㄌㄨㄥ3", - "ㄌㄨㄥ4", - "ㄌㄨㄥ2" - ], - "儲": [ - "ㄔㄨ3", - "ㄔㄨ2" - ], - "儳": [ - "ㄔㄢ2", - "ㄔㄢ4" - ], - "儴": [ - "ㄖㄤ2", - "ㄒㄧㄤ1" - ], - "儵": [ - "ㄕㄨ1", - "ㄊㄧㄠ2" - ], - "儶": [ - "ㄏㄨㄟ4", - "ㄒㄧㄝ2" - ], - "儷": [ - "ㄌㄧ4", - "ㄌㄧ2" - ], - "儸": [ - "ㄌㄨㄛ2" - ], - "儹": [ - "ㄗㄢ3" - ], - "儺": [ - "ㄋㄨㄛ2" - ], - "儻": [ - "ㄊㄤ3", - "ㄊㄤ4", - "ㄔㄤ3" - ], - "儼": [ - "ㄧㄢ3" - ], - "儽": [ - "ㄌㄟ2", - "ㄌㄟ3", - "ㄌㄨㄛ3" - ], - "儾": [ - "ㄋㄤ4" - ], - "儿": [ - "ㄦ2", - "ㄦ5", - "ㄖㄣ2" - ], - "兀": [ - "ㄨ4", - "ㄨ1" - ], - "允": [ - "ㄩㄣ3", - "ㄩㄢ2" - ], - "兂": [ - "ㄗㄢ1" - ], - "元": [ - "ㄩㄢ2" - ], - "兄": [ - "ㄒㄩㄥ1", - "ㄎㄨㄤ4" - ], - "充": [ - "ㄔㄨㄥ1" - ], - "兆": [ - "ㄓㄠ4" - ], - "兇": [ - "ㄒㄩㄥ1" - ], - "先": [ - "ㄒㄧㄢ1" - ], - "光": [ - "ㄍㄨㄤ1", - "ㄍㄨㄤ4" - ], - "兊": [ - "ㄉㄨㄟ4" - ], - "克": [ - "ㄎㄜ4" - ], - "兌": [ - "ㄉㄨㄟ4" - ], - "免": [ - "ㄇㄧㄢ3", - "ㄨㄣ4", - "ㄨㄢ3" - ], - "兎": [ - "ㄊㄨ4" - ], - "兏": [ - "ㄔㄤ2" - ], - "児": [ - "ㄦ2" - ], - "兑": [ - "ㄉㄨㄟ4", - "ㄖㄨㄟ4", - "ㄉㄨㄛ2" - ], - "兒": [ - "ㄦ2", - "ㄋㄧ2" - ], - "兓": [ - "ㄐㄧㄣ1", - "ㄗㄢ4" - ], - "兔": [ - "ㄊㄨ4", - "ㄊㄨ2", - "ㄔㄢ1" - ], - "兕": [ - "ㄙ4" - ], - "兖": [ - "ㄧㄢ3" - ], - "兗": [ - "ㄧㄢ3" - ], - "兘": [ - "ㄕ3" - ], - "党": [ - "ㄉㄤ3" - ], - "兛": [ - "ㄑㄧㄢ1" - ], - "兜": [ - "ㄉㄡ1" - ], - "兝": [ - "ㄈㄣ1" - ], - "兞": [ - "ㄇㄠ2" - ], - "兟": [ - "ㄕㄣ1" - ], - "兠": [ - "ㄉㄡ1" - ], - "兢": [ - "ㄐㄧㄥ1" - ], - "兣": [ - "ㄌㄧ3" - ], - "兤": [ - "ㄏㄨㄤ3" - ], - "入": [ - "ㄖㄨ4" - ], - "兦": [ - "ㄨㄤ2" - ], - "內": [ - "ㄋㄟ4" - ], - "全": [ - "ㄑㄩㄢ2" - ], - "兩": [ - "ㄌㄧㄤ3", - "ㄌㄧㄤ4" - ], - "兪": [ - "ㄩ2", - "ㄩ4", - "ㄕㄨ4", - "ㄕㄨ1", - "ㄓㄨ1" - ], - "八": [ - "ㄅㄚ1", - "ㄅㄚ2" - ], - "公": [ - "ㄍㄨㄥ1" - ], - "六": [ - "ㄌㄧㄡ4", - "ㄌㄨ4" - ], - "兮": [ - "ㄒㄧ1" - ], - "兯": [ - "ㄏㄢ5" - ], - "兰": [ - "ㄌㄢ2" - ], - "共": [ - "ㄍㄨㄥ4", - "ㄍㄨㄥ1", - "ㄍㄨㄥ3", - "ㄏㄨㄥ2" - ], - "兲": [ - "ㄊㄧㄢ1" - ], - "关": [ - "ㄍㄨㄢ1" - ], - "兴": [ - "ㄒㄧㄥ1", - "ㄒㄧㄥ4" - ], - "兵": [ - "ㄅㄧㄥ1" - ], - "其": [ - "ㄑㄧ2", - "ㄐㄧ1", - "ㄐㄧ4" - ], - "具": [ - "ㄐㄩ4" - ], - "典": [ - "ㄉㄧㄢ3", - "ㄊㄧㄢ3" - ], - "兹": [ - "ㄗ1", - "ㄘ2" - ], - "兺": [ - "ㄈㄣ1" - ], - "养": [ - "ㄧㄤ3" - ], - "兼": [ - "ㄐㄧㄢ1" - ], - "兽": [ - "ㄕㄡ4" - ], - "兾": [ - "ㄐㄧ4" - ], - "兿": [ - "ㄧ4" - ], - "冀": [ - "ㄐㄧ4" - ], - "冁": [ - "ㄔㄢ3" - ], - "冂": [ - "ㄐㄩㄥ1", - "ㄐㄩㄥ3" - ], - "冃": [ - "ㄇㄠ4" - ], - "冄": [ - "ㄖㄢ3" - ], - "内": [ - "ㄋㄟ4", - "ㄋㄚ4", - "ㄖㄨㄟ4" - ], - "円": [ - "ㄩㄢ2" - ], - "冇": [ - "ㄇㄠ3" - ], - "冈": [ - "ㄍㄤ1" - ], - "冉": [ - "ㄖㄢ3", - "ㄋㄢ2", - "ㄉㄢ1" - ], - "冊": [ - "ㄘㄜ4" - ], - "冋": [ - "ㄐㄩㄥ1", - "ㄐㄩㄥ3" - ], - "册": [ - "ㄘㄜ4", - "ㄓㄚ4" - ], - "再": [ - "ㄗㄞ4" - ], - "冎": [ - "ㄍㄨㄚ3" - ], - "冏": [ - "ㄐㄩㄥ3", - "ㄐㄩㄥ1" - ], - "冐": [ - "ㄇㄠ4" - ], - "冑": [ - "ㄓㄡ4" - ], - "冒": [ - "ㄇㄠ4", - "ㄇㄛ4" - ], - "冓": [ - "ㄍㄡ4", - "ㄍㄡ1" - ], - "冔": [ - "ㄒㄩ3" - ], - "冕": [ - "ㄇㄧㄢ3" - ], - "冖": [ - "ㄇㄧ4" - ], - "冗": [ - "ㄖㄨㄥ3" - ], - "冘": [ - "ㄧㄣ2", - "ㄧㄡ2" - ], - "写": [ - "ㄒㄧㄝ3", - "ㄒㄧㄝ4" - ], - "冚": [ - "ㄎㄢ3" - ], - "军": [ - "ㄐㄩㄣ1" - ], - "农": [ - "ㄋㄨㄥ2" - ], - "冝": [ - "ㄧ2" - ], - "冞": [ - "ㄇㄧ2" - ], - "冟": [ - "ㄕ4" - ], - "冠": [ - "ㄍㄨㄢ1", - "ㄍㄨㄢ4" - ], - "冡": [ - "ㄇㄥ2" - ], - "冢": [ - "ㄓㄨㄥ3" - ], - "冣": [ - "ㄐㄩ4" - ], - "冤": [ - "ㄩㄢ1" - ], - "冥": [ - "ㄇㄧㄥ2", - "ㄇㄧㄢ2", - "ㄇㄧㄢ4" - ], - "冦": [ - "ㄎㄡ4" - ], - "冧": [ - "ㄌㄧㄣ2" - ], - "冨": [ - "ㄈㄨ4" - ], - "冩": [ - "ㄒㄧㄝ3" - ], - "冪": [ - "ㄇㄧ4" - ], - "冫": [ - "ㄅㄧㄥ1" - ], - "冬": [ - "ㄉㄨㄥ1" - ], - "冭": [ - "ㄊㄞ4" - ], - "冮": [ - "ㄍㄤ1" - ], - "冯": [ - "ㄈㄥ2", - "ㄆㄧㄥ2" - ], - "冰": [ - "ㄅㄧㄥ1", - "ㄋㄧㄥ2" - ], - "冱": [ - "ㄏㄨ4" - ], - "冲": [ - "ㄔㄨㄥ1", - "ㄔㄨㄥ4" - ], - "决": [ - "ㄐㄩㄝ2" - ], - "冴": [ - "ㄏㄨ4" - ], - "况": [ - "ㄎㄨㄤ4" - ], - "冶": [ - "ㄧㄝ3" - ], - "冷": [ - "ㄌㄥ3", - "ㄌㄧㄥ2", - "ㄌㄧㄥ3" - ], - "冸": [ - "ㄆㄢ4" - ], - "冹": [ - "ㄈㄨ2" - ], - "冺": [ - "ㄇㄧㄣ3" - ], - "冻": [ - "ㄉㄨㄥ4" - ], - "冼": [ - "ㄒㄧㄢ3", - "ㄕㄥ3" - ], - "冽": [ - "ㄌㄧㄝ4" - ], - "冾": [ - "ㄑㄧㄚ4" - ], - "冿": [ - "ㄐㄧㄢ1" - ], - "净": [ - "ㄐㄧㄥ4", - "ㄔㄥ1" - ], - "凁": [ - "ㄙㄡ1" - ], - "凂": [ - "ㄇㄟ3" - ], - "凃": [ - "ㄊㄨ2" - ], - "凄": [ - "ㄑㄧ1" - ], - "凅": [ - "ㄍㄨ4" - ], - "准": [ - "ㄓㄨㄣ3" - ], - "凇": [ - "ㄙㄨㄥ1" - ], - "凈": [ - "ㄐㄧㄥ4" - ], - "凉": [ - "ㄌㄧㄤ2", - "ㄌㄧㄤ4" - ], - "凊": [ - "ㄑㄧㄥ4" - ], - "凋": [ - "ㄉㄧㄠ1" - ], - "凌": [ - "ㄌㄧㄥ2", - "ㄌㄧㄥ4" - ], - "凍": [ - "ㄉㄨㄥ4" - ], - "凎": [ - "ㄍㄢ4" - ], - "减": [ - "ㄐㄧㄢ3" - ], - "凐": [ - "ㄧㄣ1" - ], - "凑": [ - "ㄘㄡ4" - ], - "凒": [ - "ㄞ2" - ], - "凓": [ - "ㄌㄧ4" - ], - "凔": [ - "ㄔㄨㄤ4", - "ㄘㄤ1" - ], - "凕": [ - "ㄇㄧㄥ3" - ], - "凖": [ - "ㄓㄨㄣ3" - ], - "凗": [ - "ㄘㄨㄟ1" - ], - "凘": [ - "ㄙ1" - ], - "凙": [ - "ㄉㄨㄛ2" - ], - "凚": [ - "ㄐㄧㄣ4" - ], - "凛": [ - "ㄌㄧㄣ3" - ], - "凜": [ - "ㄌㄧㄣ3" - ], - "凝": [ - "ㄋㄧㄥ2" - ], - "凞": [ - "ㄒㄧ1" - ], - "凟": [ - "ㄉㄨ2" - ], - "几": [ - "ㄐㄧ3", - "ㄐㄧ1" - ], - "凡": [ - "ㄈㄢ2" - ], - "凢": [ - "ㄈㄢ2" - ], - "凣": [ - "ㄈㄢ2" - ], - "凤": [ - "ㄈㄥ4" - ], - "凥": [ - "ㄐㄩ1" - ], - "処": [ - "ㄔㄨ3", - "ㄔㄨ4" - ], - "凧": [ - "ㄓㄥ1" - ], - "凨": [ - "ㄈㄥ1" - ], - "凩": [ - "ㄇㄨ4" - ], - "凪": [ - "ㄓ3" - ], - "凫": [ - "ㄈㄨ2" - ], - "凬": [ - "ㄈㄥ1" - ], - "凭": [ - "ㄆㄧㄥ2" - ], - "凮": [ - "ㄈㄥ1" - ], - "凯": [ - "ㄎㄞ3" - ], - "凰": [ - "ㄏㄨㄤ2" - ], - "凱": [ - "ㄎㄞ3" - ], - "凲": [ - "ㄍㄢ1" - ], - "凳": [ - "ㄉㄥ4" - ], - "凴": [ - "ㄆㄧㄥ2" - ], - "凵": [ - "ㄑㄧㄢ3", - "ㄎㄢ3" - ], - "凶": [ - "ㄒㄩㄥ1" - ], - "凷": [ - "ㄎㄨㄞ4" - ], - "凸": [ - "ㄊㄨ1" - ], - "凹": [ - "ㄠ1", - "ㄨㄚ1" - ], - "出": [ - "ㄔㄨ1" - ], - "击": [ - "ㄐㄧ1" - ], - "凼": [ - "ㄉㄤ4" - ], - "函": [ - "ㄏㄢ2" - ], - "凾": [ - "ㄏㄢ2" - ], - "凿": [ - "ㄗㄠ2", - "ㄗㄨㄛ4" - ], - "刀": [ - "ㄉㄠ1", - "ㄉㄧㄠ1" - ], - "刁": [ - "ㄉㄧㄠ1" - ], - "刂": [ - "ㄉㄠ1" - ], - "刃": [ - "ㄖㄣ4" - ], - "刄": [ - "ㄖㄣ4" - ], - "刅": [ - "ㄔㄨㄤ1" - ], - "分": [ - "ㄈㄣ1", - "ㄈㄣ4", - "ㄈㄣ2" - ], - "切": [ - "ㄑㄧㄝ4", - "ㄑㄧㄝ1", - "ㄑㄧ4" - ], - "刈": [ - "ㄧ4" - ], - "刉": [ - "ㄐㄧ1" - ], - "刊": [ - "ㄎㄢ1" - ], - "刋": [ - "ㄑㄧㄢ4" - ], - "刌": [ - "ㄘㄨㄣ3" - ], - "刍": [ - "ㄔㄨ2" - ], - "刎": [ - "ㄨㄣ3" - ], - "刏": [ - "ㄐㄧ1" - ], - "刐": [ - "ㄉㄢ3" - ], - "刑": [ - "ㄒㄧㄥ2" - ], - "划": [ - "ㄏㄨㄚ4", - "ㄏㄨㄚ2", - "ㄍㄨㄛ4", - "ㄍㄨㄛ3", - "ㄏㄨㄞ5" - ], - "刓": [ - "ㄨㄢ2" - ], - "刔": [ - "ㄐㄩㄝ2" - ], - "刕": [ - "ㄌㄧ2" - ], - "刖": [ - "ㄩㄝ4" - ], - "列": [ - "ㄌㄧㄝ4", - "ㄌㄧ4" - ], - "刘": [ - "ㄌㄧㄡ2" - ], - "则": [ - "ㄗㄜ2" - ], - "刚": [ - "ㄍㄤ1" - ], - "创": [ - "ㄔㄨㄤ4", - "ㄔㄨㄤ1" - ], - "刜": [ - "ㄈㄨ2" - ], - "初": [ - "ㄔㄨ1" - ], - "刞": [ - "ㄑㄩ4" - ], - "刟": [ - "ㄉㄧㄠ1" - ], - "删": [ - "ㄕㄢ1" - ], - "刡": [ - "ㄇㄧㄣ3" - ], - "刢": [ - "ㄌㄧㄥ2" - ], - "刣": [ - "ㄓㄨㄥ1" - ], - "判": [ - "ㄆㄢ4" - ], - "別": [ - "ㄅㄧㄝ2" - ], - "刦": [ - "ㄐㄧㄝ2" - ], - "刧": [ - "ㄐㄧㄝ2" - ], - "刨": [ - "ㄆㄠ2", - "ㄅㄠ4" - ], - "利": [ - "ㄌㄧ4" - ], - "刪": [ - "ㄕㄢ1" - ], - "别": [ - "ㄅㄧㄝ2", - "ㄅㄧㄝ4" - ], - "刬": [ - "ㄔㄢ3", - "ㄔㄢ4" - ], - "刭": [ - "ㄐㄧㄥ3" - ], - "刮": [ - "ㄍㄨㄚ1" - ], - "刯": [ - "ㄍㄥ1" - ], - "到": [ - "ㄉㄠ4" - ], - "刱": [ - "ㄔㄨㄤ4" - ], - "刲": [ - "ㄎㄨㄟ1" - ], - "刳": [ - "ㄎㄨ1", - "ㄎㄡ1" - ], - "刴": [ - "ㄉㄨㄛ4" - ], - "刵": [ - "ㄦ4" - ], - "制": [ - "ㄓ4" - ], - "刷": [ - "ㄕㄨㄚ1", - "ㄕㄨㄚ4" - ], - "券": [ - "ㄑㄩㄢ4", - "ㄒㄩㄢ4" - ], - "刹": [ - "ㄕㄚ1", - "ㄔㄚ4" - ], - "刺": [ - "ㄘ4", - "ㄘ1", - "ㄑㄧ4" - ], - "刻": [ - "ㄎㄜ4", - "ㄎㄟ1" - ], - "刼": [ - "ㄐㄧㄝ2" - ], - "刽": [ - "ㄍㄨㄟ4" - ], - "刾": [ - "ㄘ4" - ], - "刿": [ - "ㄍㄨㄟ4" - ], - "剀": [ - "ㄎㄞ3" - ], - "剁": [ - "ㄉㄨㄛ4" - ], - "剂": [ - "ㄐㄧ4" - ], - "剃": [ - "ㄊㄧ4" - ], - "剄": [ - "ㄐㄧㄥ3" - ], - "剅": [ - "ㄌㄡ2", - "ㄉㄡ1" - ], - "剆": [ - "ㄌㄨㄛ3" - ], - "則": [ - "ㄗㄜ2" - ], - "剈": [ - "ㄩㄢ1" - ], - "剉": [ - "ㄘㄨㄛ4" - ], - "削": [ - "ㄒㄩㄝ1", - "ㄒㄧㄠ1", - "ㄑㄧㄠ4", - "ㄕㄠ4" - ], - "剋": [ - "ㄎㄜ4", - "ㄎㄟ1" - ], - "剌": [ - "ㄌㄚ2", - "ㄌㄚ4" - ], - "前": [ - "ㄑㄧㄢ2", - "ㄐㄧㄢ3" - ], - "剎": [ - "ㄕㄚ1" - ], - "剏": [ - "ㄔㄨㄤ4" - ], - "剐": [ - "ㄍㄨㄚ3" - ], - "剑": [ - "ㄐㄧㄢ4" - ], - "剒": [ - "ㄘㄨㄛ4" - ], - "剓": [ - "ㄌㄧ2" - ], - "剔": [ - "ㄊㄧ1", - "ㄊㄧ4" - ], - "剕": [ - "ㄈㄟ4" - ], - "剖": [ - "ㄆㄡ1", - "ㄆㄛ3" - ], - "剗": [ - "ㄔㄢ3", - "ㄔㄢ4" - ], - "剘": [ - "ㄑㄧ2" - ], - "剙": [ - "ㄔㄨㄤ4" - ], - "剚": [ - "ㄗ4" - ], - "剛": [ - "ㄍㄤ1" - ], - "剜": [ - "ㄨㄢ1" - ], - "剝": [ - "ㄅㄛ1" - ], - "剞": [ - "ㄐㄧ1" - ], - "剟": [ - "ㄉㄨㄛ1", - "ㄔ4" - ], - "剠": [ - "ㄑㄧㄥ2", - "ㄌㄩㄝ4" - ], - "剡": [ - "ㄕㄢ4", - "ㄧㄢ3" - ], - "剢": [ - "ㄉㄨ1", - "ㄓㄨㄛ2" - ], - "剣": [ - "ㄐㄧㄢ4" - ], - "剤": [ - "ㄐㄧ4" - ], - "剥": [ - "ㄅㄛ1", - "ㄅㄠ1", - "ㄆㄨ1" - ], - "剦": [ - "ㄧㄢ1" - ], - "剧": [ - "ㄐㄩ4" - ], - "剨": [ - "ㄏㄨㄛ1", - "ㄏㄨㄛ4" - ], - "剩": [ - "ㄕㄥ4" - ], - "剪": [ - "ㄐㄧㄢ3" - ], - "剫": [ - "ㄉㄨㄛ2", - "ㄉㄨ4" - ], - "剬": [ - "ㄉㄨㄢ1", - "ㄊㄨㄢ2", - "ㄓ4" - ], - "剭": [ - "ㄨ1" - ], - "剮": [ - "ㄍㄨㄚ3" - ], - "副": [ - "ㄈㄨ4", - "ㄆㄧ4" - ], - "剰": [ - "ㄕㄥ4" - ], - "剱": [ - "ㄐㄧㄢ4" - ], - "割": [ - "ㄍㄜ1" - ], - "剳": [ - "ㄉㄚ2", - "ㄓㄚ2" - ], - "剴": [ - "ㄎㄞ3", - "ㄞ1" - ], - "創": [ - "ㄔㄨㄤ4", - "ㄔㄨㄤ1", - "ㄑㄧㄤ1" - ], - "剶": [ - "ㄔㄨㄢ1" - ], - "剷": [ - "ㄔㄢ3" - ], - "剸": [ - "ㄊㄨㄢ2", - "ㄓㄨㄢ1", - "ㄓㄨㄢ4" - ], - "剹": [ - "ㄌㄨ4", - "ㄐㄧㄡ1" - ], - "剺": [ - "ㄌㄧ2" - ], - "剻": [ - "ㄆㄥ3" - ], - "剼": [ - "ㄕㄢ1" - ], - "剽": [ - "ㄆㄧㄠ1", - "ㄆㄧㄠ4", - "ㄆㄧㄠ2", - "ㄅㄧㄠ3", - "ㄅㄧㄠ1" - ], - "剾": [ - "ㄎㄡ1" - ], - "剿": [ - "ㄐㄧㄠ3", - "ㄔㄠ1" - ], - "劀": [ - "ㄍㄨㄚ1" - ], - "劁": [ - "ㄑㄧㄠ1", - "ㄑㄧㄠ2" - ], - "劂": [ - "ㄐㄩㄝ2" - ], - "劃": [ - "ㄏㄨㄚ4", - "ㄏㄨㄚ2", - "ㄏㄨㄞ5" - ], - "劄": [ - "ㄓㄚ1", - "ㄓㄚ2" - ], - "劅": [ - "ㄓㄨㄛ2" - ], - "劆": [ - "ㄌㄧㄢ2" - ], - "劇": [ - "ㄐㄩ4" - ], - "劈": [ - "ㄆㄧ1", - "ㄆㄧ3" - ], - "劉": [ - "ㄌㄧㄡ2" - ], - "劊": [ - "ㄍㄨㄟ4" - ], - "劋": [ - "ㄐㄧㄠ3", - "ㄔㄠ1" - ], - "劌": [ - "ㄍㄨㄟ4" - ], - "劍": [ - "ㄐㄧㄢ4" - ], - "劎": [ - "ㄐㄧㄢ4" - ], - "劏": [ - "ㄊㄤ1" - ], - "劐": [ - "ㄏㄨㄛ1", - "ㄏㄨㄛ4", - "ㄏㄨㄚ2" - ], - "劑": [ - "ㄐㄧ4" - ], - "劒": [ - "ㄐㄧㄢ4" - ], - "劓": [ - "ㄧ4" - ], - "劔": [ - "ㄐㄧㄢ4" - ], - "劕": [ - "ㄓ4" - ], - "劖": [ - "ㄔㄢ2" - ], - "劗": [ - "ㄐㄧㄢ3", - "ㄗㄨㄢ1" - ], - "劘": [ - "ㄇㄛ2", - "ㄇㄧ2" - ], - "劙": [ - "ㄌㄧ2" - ], - "劚": [ - "ㄓㄨ2" - ], - "力": [ - "ㄌㄧ4" - ], - "劜": [ - "ㄧㄚ4" - ], - "劝": [ - "ㄑㄩㄢ4" - ], - "办": [ - "ㄅㄢ4" - ], - "功": [ - "ㄍㄨㄥ1" - ], - "加": [ - "ㄐㄧㄚ1" - ], - "务": [ - "ㄨ4" - ], - "劢": [ - "ㄇㄞ4" - ], - "劣": [ - "ㄌㄧㄝ4" - ], - "劤": [ - "ㄐㄧㄣ4" - ], - "劥": [ - "ㄎㄥ1" - ], - "劦": [ - "ㄒㄧㄝ2", - "ㄌㄧㄝ4" - ], - "劧": [ - "ㄓ3" - ], - "动": [ - "ㄉㄨㄥ4" - ], - "助": [ - "ㄓㄨ4", - "ㄔㄨ2" - ], - "努": [ - "ㄋㄨ3" - ], - "劫": [ - "ㄐㄧㄝ2" - ], - "劬": [ - "ㄑㄩ2" - ], - "劭": [ - "ㄕㄠ4" - ], - "劮": [ - "ㄧ4" - ], - "劯": [ - "ㄓㄨ1" - ], - "劰": [ - "ㄇㄛ4" - ], - "励": [ - "ㄌㄧ4" - ], - "劲": [ - "ㄐㄧㄣ4", - "ㄐㄧㄥ4" - ], - "劳": [ - "ㄌㄠ2" - ], - "労": [ - "ㄌㄠ2" - ], - "劵": [ - "ㄐㄩㄢ4" - ], - "劶": [ - "ㄎㄡ3" - ], - "劷": [ - "ㄧㄤ2" - ], - "劸": [ - "ㄨㄚ1" - ], - "効": [ - "ㄒㄧㄠ4" - ], - "劺": [ - "ㄇㄡ2" - ], - "劻": [ - "ㄎㄨㄤ1" - ], - "劼": [ - "ㄐㄧㄝ2" - ], - "劽": [ - "ㄌㄧㄝ4" - ], - "劾": [ - "ㄏㄜ2", - "ㄎㄞ4" - ], - "势": [ - "ㄕ4" - ], - "勀": [ - "ㄎㄜ4" - ], - "勁": [ - "ㄐㄧㄣ4", - "ㄐㄧㄥ4" - ], - "勂": [ - "ㄍㄠ4" - ], - "勃": [ - "ㄅㄛ2" - ], - "勄": [ - "ㄇㄧㄣ3" - ], - "勅": [ - "ㄔ4" - ], - "勆": [ - "ㄌㄤ2" - ], - "勇": [ - "ㄩㄥ3" - ], - "勈": [ - "ㄩㄥ3" - ], - "勉": [ - "ㄇㄧㄢ3" - ], - "勊": [ - "ㄎㄜ4" - ], - "勋": [ - "ㄒㄩㄣ1" - ], - "勌": [ - "ㄐㄩㄢ4", - "ㄐㄩㄢ1" - ], - "勍": [ - "ㄑㄧㄥ2" - ], - "勎": [ - "ㄌㄨ4" - ], - "勏": [ - "ㄅㄨ4" - ], - "勐": [ - "ㄇㄥ3" - ], - "勑": [ - "ㄔ4", - "ㄌㄞ4" - ], - "勒": [ - "ㄌㄟ1", - "ㄌㄜ4", - "ㄌㄟ5" - ], - "勓": [ - "ㄎㄞ4" - ], - "勔": [ - "ㄇㄧㄢ3" - ], - "動": [ - "ㄉㄨㄥ4" - ], - "勖": [ - "ㄒㄩ4", - "ㄇㄠ4" - ], - "勗": [ - "ㄒㄩ4" - ], - "勘": [ - "ㄎㄢ1" - ], - "務": [ - "ㄨ4", - "ㄨ3", - "ㄨ2", - "ㄇㄠ2", - "ㄇㄠ4" - ], - "勚": [ - "ㄧ4" - ], - "勛": [ - "ㄒㄩㄣ1" - ], - "勜": [ - "ㄨㄥ3", - "ㄧㄤ3" - ], - "勝": [ - "ㄕㄥ4" - ], - "勞": [ - "ㄌㄠ2", - "ㄌㄠ4", - "ㄌㄧㄠ2" - ], - "募": [ - "ㄇㄨ4", - "ㄅㄛ2" - ], - "勠": [ - "ㄌㄨ4" - ], - "勡": [ - "ㄆㄧㄠ4" - ], - "勢": [ - "ㄕ4" - ], - "勣": [ - "ㄐㄧ1" - ], - "勤": [ - "ㄑㄧㄣ2", - "ㄑㄧ2" - ], - "勥": [ - "ㄐㄧㄤ4", - "ㄑㄧㄤ3", - "ㄐㄧㄤ3" - ], - "勦": [ - "ㄔㄠ1", - "ㄐㄧㄠ3", - "ㄔㄠ2" - ], - "勧": [ - "ㄑㄩㄢ4" - ], - "勨": [ - "ㄒㄧㄤ4" - ], - "勩": [ - "ㄧ4" - ], - "勪": [ - "ㄐㄩㄝ2" - ], - "勫": [ - "ㄈㄢ1" - ], - "勬": [ - "ㄐㄩㄢ1" - ], - "勭": [ - "ㄊㄨㄥ2", - "ㄉㄨㄥ4" - ], - "勮": [ - "ㄐㄩ4" - ], - "勯": [ - "ㄉㄢ1" - ], - "勰": [ - "ㄒㄧㄝ2" - ], - "勱": [ - "ㄇㄞ4" - ], - "勲": [ - "ㄒㄩㄣ1" - ], - "勳": [ - "ㄒㄩㄣ1" - ], - "勴": [ - "ㄌㄩ4" - ], - "勵": [ - "ㄌㄧ4" - ], - "勶": [ - "ㄔㄜ4" - ], - "勷": [ - "ㄖㄤ2", - "ㄒㄧㄤ1" - ], - "勸": [ - "ㄑㄩㄢ4" - ], - "勹": [ - "ㄅㄠ1" - ], - "勺": [ - "ㄕㄠ2", - "ㄕㄨㄛ4", - "ㄓㄨㄛ2", - "ㄉㄧ4" - ], - "勻": [ - "ㄩㄣ2" - ], - "勼": [ - "ㄐㄧㄡ1" - ], - "勽": [ - "ㄅㄠ4" - ], - "勾": [ - "ㄍㄡ1", - "ㄍㄡ4" - ], - "勿": [ - "ㄨ4", - "ㄇㄛ4" - ], - "匀": [ - "ㄩㄣ2", - "ㄐㄩㄣ1", - "ㄩㄣ4" - ], - "匁": [ - "ㄨㄣ2" - ], - "匂": [ - "ㄒㄩㄥ1" - ], - "匃": [ - "ㄍㄞ4" - ], - "匄": [ - "ㄍㄞ4" - ], - "包": [ - "ㄅㄠ1", - "ㄆㄠ2", - "ㄈㄨ2" - ], - "匆": [ - "ㄘㄨㄥ1" - ], - "匇": [ - "ㄧ4" - ], - "匈": [ - "ㄒㄩㄥ1" - ], - "匉": [ - "ㄆㄥ1" - ], - "匊": [ - "ㄐㄩ1" - ], - "匋": [ - "ㄊㄠ2", - "ㄧㄠ2" - ], - "匌": [ - "ㄍㄜ2" - ], - "匍": [ - "ㄆㄨ2" - ], - "匎": [ - "ㄜ4" - ], - "匏": [ - "ㄆㄠ2" - ], - "匐": [ - "ㄈㄨ2" - ], - "匑": [ - "ㄍㄨㄥ1" - ], - "匒": [ - "ㄉㄚ2" - ], - "匓": [ - "ㄐㄧㄡ4" - ], - "匔": [ - "ㄍㄨㄥ1" - ], - "匕": [ - "ㄅㄧ3", - "ㄆㄧㄣ4" - ], - "化": [ - "ㄏㄨㄚ4", - "ㄏㄨㄚ1", - "ㄏㄨㄛ4" - ], - "北": [ - "ㄅㄟ3", - "ㄅㄟ4" - ], - "匘": [ - "ㄋㄠ3" - ], - "匙": [ - "ㄕ5", - "ㄔ2" - ], - "匚": [ - "ㄈㄤ1", - "ㄈㄤ4" - ], - "匛": [ - "ㄐㄧㄡ4" - ], - "匜": [ - "ㄧ2" - ], - "匝": [ - "ㄗㄚ1" - ], - "匞": [ - "ㄐㄧㄤ4" - ], - "匟": [ - "ㄎㄤ4" - ], - "匠": [ - "ㄐㄧㄤ4" - ], - "匡": [ - "ㄎㄨㄤ1", - "ㄨㄤ1" - ], - "匢": [ - "ㄏㄨ1" - ], - "匣": [ - "ㄒㄧㄚ2" - ], - "匤": [ - "ㄑㄩ1" - ], - "匥": [ - "ㄈㄢ2" - ], - "匦": [ - "ㄍㄨㄟ3" - ], - "匧": [ - "ㄑㄧㄝ4" - ], - "匨": [ - "ㄗㄤ1", - "ㄘㄤ2" - ], - "匩": [ - "ㄎㄨㄤ1" - ], - "匪": [ - "ㄈㄟ3", - "ㄈㄟ1", - "ㄈㄣ1" - ], - "匫": [ - "ㄏㄨ1" - ], - "匬": [ - "ㄩ3" - ], - "匭": [ - "ㄍㄨㄟ3" - ], - "匮": [ - "ㄎㄨㄟ4", - "ㄍㄨㄟ4" - ], - "匯": [ - "ㄏㄨㄟ4" - ], - "匰": [ - "ㄉㄢ1" - ], - "匱": [ - "ㄍㄨㄟ4", - "ㄎㄨㄟ4" - ], - "匲": [ - "ㄌㄧㄢ2" - ], - "匳": [ - "ㄌㄧㄢ2" - ], - "匴": [ - "ㄙㄨㄢ3" - ], - "匵": [ - "ㄉㄨ2" - ], - "匶": [ - "ㄐㄧㄡ4" - ], - "匷": [ - "ㄐㄩㄝ2" - ], - "匸": [ - "ㄒㄧ4" - ], - "匹": [ - "ㄆㄧ3" - ], - "区": [ - "ㄑㄩ1", - "ㄡ1" - ], - "医": [ - "ㄧ1", - "ㄧ4" - ], - "匼": [ - "ㄎㄜ1", - "ㄜ1", - "ㄢ3" - ], - "匽": [ - "ㄧㄢ3", - "ㄧㄢ4" - ], - "匾": [ - "ㄅㄧㄢ3" - ], - "匿": [ - "ㄋㄧ4", - "ㄊㄜ4" - ], - "區": [ - "ㄑㄩ1", - "ㄡ1", - "ㄍㄡ1", - "ㄑㄧㄡ1", - "ㄎㄡ4" - ], - "十": [ - "ㄕ2" - ], - "卂": [ - "ㄒㄩㄣ4" - ], - "千": [ - "ㄑㄧㄢ1" - ], - "卄": [ - "ㄋㄧㄢ4" - ], - "卅": [ - "ㄙㄚ4" - ], - "卆": [ - "ㄗㄨ2" - ], - "升": [ - "ㄕㄥ1" - ], - "午": [ - "ㄨ3" - ], - "卉": [ - "ㄏㄨㄟ4" - ], - "半": [ - "ㄅㄢ4", - "ㄆㄢ4" - ], - "卋": [ - "ㄕ4" - ], - "卌": [ - "ㄒㄧ4" - ], - "卍": [ - "ㄨㄢ4" - ], - "华": [ - "ㄏㄨㄚ2", - "ㄏㄨㄚ4", - "ㄏㄨㄚ1" - ], - "协": [ - "ㄒㄧㄝ2" - ], - "卐": [ - "ㄨㄢ4" - ], - "卑": [ - "ㄅㄟ1", - "ㄅㄧ3", - "ㄅㄧ4", - "ㄆㄧ2", - "ㄅㄢ1" - ], - "卒": [ - "ㄗㄨ2", - "ㄘㄨ4", - "ㄘㄨㄟ4" - ], - "卓": [ - "ㄓㄨㄛ2", - "ㄓㄨㄛ1" - ], - "協": [ - "ㄒㄧㄝ2" - ], - "单": [ - "ㄉㄢ1", - "ㄔㄢ2", - "ㄕㄢ4" - ], - "卖": [ - "ㄇㄞ4" - ], - "南": [ - "ㄋㄢ2", - "ㄋㄚ1" - ], - "単": [ - "ㄉㄢ1" - ], - "卙": [ - "ㄐㄧ2", - "ㄔ4" - ], - "博": [ - "ㄅㄛ2" - ], - "卛": [ - "ㄕㄨㄞ4" - ], - "卜": [ - "ㄅㄛ5", - "ㄅㄨ3", - "ㄆㄨ1" - ], - "卝": [ - "ㄎㄨㄤ4", - "ㄍㄨㄢ4" - ], - "卞": [ - "ㄅㄧㄢ4", - "ㄆㄢ2" - ], - "卟": [ - "ㄅㄨ3", - "ㄐㄧ1" - ], - "占": [ - "ㄓㄢ4", - "ㄓㄢ1", - "ㄊㄧㄝ1" - ], - "卡": [ - "ㄎㄚ3", - "ㄑㄧㄚ3" - ], - "卢": [ - "ㄌㄨ2" - ], - "卣": [ - "ㄧㄡ3" - ], - "卤": [ - "ㄌㄨ3", - "ㄒㄧ1" - ], - "卥": [ - "ㄒㄧ1" - ], - "卦": [ - "ㄍㄨㄚ4" - ], - "卧": [ - "ㄨㄛ4" - ], - "卨": [ - "ㄒㄧㄝ4" - ], - "卩": [ - "ㄐㄧㄝ2" - ], - "卪": [ - "ㄐㄧㄝ2" - ], - "卫": [ - "ㄨㄟ4" - ], - "卬": [ - "ㄤ2", - "ㄧㄤ3" - ], - "卭": [ - "ㄑㄩㄥ2" - ], - "卮": [ - "ㄓ1" - ], - "卯": [ - "ㄇㄠ3" - ], - "印": [ - "ㄧㄣ4", - "ㄧ4" - ], - "危": [ - "ㄨㄟ1" - ], - "卲": [ - "ㄕㄠ4" - ], - "即": [ - "ㄐㄧ2" - ], - "却": [ - "ㄑㄩㄝ4" - ], - "卵": [ - "ㄌㄨㄢ3", - "ㄎㄨㄣ1" - ], - "卶": [ - "ㄔ3" - ], - "卷": [ - "ㄐㄩㄢ3", - "ㄐㄩㄢ4", - "ㄑㄩㄢ2", - "ㄑㄩㄢ1", - "ㄍㄨㄣ3", - "ㄐㄩㄣ4" - ], - "卸": [ - "ㄒㄧㄝ4" - ], - "卹": [ - "ㄒㄩ4", - "ㄙㄨ1" - ], - "卺": [ - "ㄐㄧㄣ3" - ], - "卻": [ - "ㄑㄩㄝ4", - "ㄐㄧㄠ3", - "ㄒㄧ4" - ], - "卼": [ - "ㄨ4" - ], - "卽": [ - "ㄐㄧ2" - ], - "卾": [ - "ㄜ4" - ], - "卿": [ - "ㄑㄧㄥ1" - ], - "厀": [ - "ㄒㄧ1" - ], - "厁": [ - "ㄙㄢ1" - ], - "厂": [ - "ㄔㄤ3", - "ㄏㄢ3", - "ㄧㄢ2", - "ㄢ1" - ], - "厃": [ - "ㄨㄟ3", - "ㄧㄢ2" - ], - "厄": [ - "ㄜ4", - "ㄜ3" - ], - "厅": [ - "ㄊㄧㄥ1" - ], - "历": [ - "ㄌㄧ4" - ], - "厇": [ - "ㄓㄜ2", - "ㄓㄞ2" - ], - "厈": [ - "ㄏㄢ3", - "ㄢ4" - ], - "厉": [ - "ㄌㄧ4" - ], - "厊": [ - "ㄧㄚ3" - ], - "压": [ - "ㄧㄚ1", - "ㄧㄚ4" - ], - "厌": [ - "ㄧㄢ4" - ], - "厍": [ - "ㄕㄜ4" - ], - "厎": [ - "ㄉㄧ3", - "ㄓ3" - ], - "厏": [ - "ㄓㄚ3", - "ㄓㄞ3" - ], - "厐": [ - "ㄆㄤ2" - ], - "厑": [ - "ㄧㄚ2" - ], - "厒": [ - "ㄑㄧㄝ4" - ], - "厓": [ - "ㄧㄚ2", - "ㄞ2" - ], - "厔": [ - "ㄓ4", - "ㄕ1" - ], - "厕": [ - "ㄘㄜ4", - "ㄙ5" - ], - "厖": [ - "ㄆㄤ2", - "ㄇㄤ2" - ], - "厗": [ - "ㄊㄧ2" - ], - "厘": [ - "ㄌㄧ2", - "ㄔㄢ2" - ], - "厙": [ - "ㄕㄜ4" - ], - "厚": [ - "ㄏㄡ4" - ], - "厛": [ - "ㄊㄧㄥ1" - ], - "厜": [ - "ㄗㄨㄟ1" - ], - "厝": [ - "ㄘㄨㄛ4", - "ㄐㄧ2" - ], - "厞": [ - "ㄈㄟ4" - ], - "原": [ - "ㄩㄢ2" - ], - "厠": [ - "ㄘㄜ4" - ], - "厡": [ - "ㄩㄢ2" - ], - "厢": [ - "ㄒㄧㄤ1" - ], - "厣": [ - "ㄧㄢ3" - ], - "厤": [ - "ㄌㄧ4" - ], - "厥": [ - "ㄐㄩㄝ2" - ], - "厦": [ - "ㄕㄚ4", - "ㄒㄧㄚ4" - ], - "厧": [ - "ㄉㄧㄢ1" - ], - "厨": [ - "ㄔㄨ2" - ], - "厩": [ - "ㄐㄧㄡ4" - ], - "厪": [ - "ㄐㄧㄣ3" - ], - "厫": [ - "ㄠ2" - ], - "厬": [ - "ㄍㄨㄟ3" - ], - "厭": [ - "ㄧㄢ4", - "ㄧㄚ1", - "ㄧㄢ3", - "ㄧㄢ1", - "ㄧ4" - ], - "厮": [ - "ㄙ1" - ], - "厯": [ - "ㄌㄧ4" - ], - "厰": [ - "ㄔㄤ3" - ], - "厱": [ - "ㄌㄢ2", - "ㄑㄧㄢ1" - ], - "厲": [ - "ㄌㄧ4", - "ㄌㄞ4" - ], - "厳": [ - "ㄧㄢ2" - ], - "厴": [ - "ㄧㄢ3" - ], - "厵": [ - "ㄩㄢ2" - ], - "厶": [ - "ㄙ1", - "ㄇㄡ3" - ], - "厷": [ - "ㄍㄨㄥ1", - "ㄏㄨㄥ2" - ], - "厸": [ - "ㄌㄧㄣ2", - "ㄇㄧㄣ5" - ], - "厹": [ - "ㄖㄡ2", - "ㄑㄧㄡ2" - ], - "厺": [ - "ㄑㄩ4" - ], - "去": [ - "ㄑㄩ4", - "ㄑㄩ1" - ], - "厼": [ - "ㄦ3" - ], - "厽": [ - "ㄌㄟ3" - ], - "厾": [ - "ㄉㄨ1", - "ㄉㄨ3" - ], - "县": [ - "ㄒㄧㄢ4" - ], - "叀": [ - "ㄓㄨㄢ1", - "ㄏㄨㄟ4" - ], - "叁": [ - "ㄙㄢ1" - ], - "参": [ - "ㄘㄢ1", - "ㄘㄣ1", - "ㄕㄣ1" - ], - "參": [ - "ㄘㄢ1", - "ㄕㄣ1", - "ㄙㄢ1", - "ㄘㄣ1", - "ㄘㄢ4", - "ㄙㄢ3" - ], - "叄": [ - "ㄘㄢ1" - ], - "叅": [ - "ㄘㄢ1" - ], - "叆": [ - "ㄞ4" - ], - "叇": [ - "ㄉㄞ4" - ], - "又": [ - "ㄧㄡ4" - ], - "叉": [ - "ㄔㄚ1", - "ㄔㄚ2", - "ㄔㄚ3", - "ㄔㄚ4" - ], - "及": [ - "ㄐㄧ2" - ], - "友": [ - "ㄧㄡ3" - ], - "双": [ - "ㄕㄨㄤ1" - ], - "反": [ - "ㄈㄢ3", - "ㄈㄢ4" - ], - "収": [ - "ㄕㄡ1" - ], - "叏": [ - "ㄍㄨㄞ4" - ], - "叐": [ - "ㄅㄚ2" - ], - "发": [ - "ㄈㄚ1", - "ㄈㄚ4" - ], - "叒": [ - "ㄖㄨㄛ4" - ], - "叓": [ - "ㄕ4", - "ㄌㄧ4" - ], - "叔": [ - "ㄕㄨ1" - ], - "叕": [ - "ㄓㄨㄛ2", - "ㄧ3", - "ㄌㄧ4", - "ㄐㄩㄝ2" - ], - "取": [ - "ㄑㄩ3", - "ㄑㄩ1" - ], - "受": [ - "ㄕㄡ4", - "ㄉㄠ4" - ], - "变": [ - "ㄅㄧㄢ4" - ], - "叙": [ - "ㄒㄩ4" - ], - "叚": [ - "ㄐㄧㄚ3", - "ㄒㄧㄚ2" - ], - "叛": [ - "ㄆㄢ4" - ], - "叜": [ - "ㄙㄡ3" - ], - "叝": [ - "ㄐㄧ2" - ], - "叞": [ - "ㄨㄟ4" - ], - "叟": [ - "ㄙㄡ3", - "ㄙㄡ1", - "ㄒㄧㄠ1" - ], - "叠": [ - "ㄉㄧㄝ2" - ], - "叡": [ - "ㄖㄨㄟ4" - ], - "叢": [ - "ㄘㄨㄥ2" - ], - "口": [ - "ㄎㄡ3" - ], - "古": [ - "ㄍㄨ3", - "ㄍㄨ4", - "ㄎㄨ1" - ], - "句": [ - "ㄐㄩ4", - "ㄍㄡ1", - "ㄍㄡ4", - "ㄑㄩ2" - ], - "另": [ - "ㄌㄧㄥ4" - ], - "叧": [ - "ㄍㄨㄚ3" - ], - "叨": [ - "ㄉㄠ1", - "ㄉㄠ2", - "ㄊㄠ1" - ], - "叩": [ - "ㄎㄡ4" - ], - "只": [ - "ㄓ3", - "ㄓ1" - ], - "叫": [ - "ㄐㄧㄠ4" - ], - "召": [ - "ㄓㄠ4", - "ㄕㄠ4" - ], - "叭": [ - "ㄅㄚ1", - "ㄆㄚ1", - "ㄅㄚ5" - ], - "叮": [ - "ㄉㄧㄥ1" - ], - "可": [ - "ㄎㄜ3", - "ㄎㄜ4", - "ㄍㄜ1" - ], - "台": [ - "ㄊㄞ2", - "ㄊㄞ1", - "ㄧ2", - "ㄙ4" - ], - "叱": [ - "ㄔ4", - "ㄏㄨㄚ4", - "ㄜ2" - ], - "史": [ - "ㄕ3" - ], - "右": [ - "ㄧㄡ4" - ], - "叴": [ - "ㄑㄧㄡ2" - ], - "叵": [ - "ㄆㄛ3" - ], - "叶": [ - "ㄧㄝ4", - "ㄒㄧㄝ2" - ], - "号": [ - "ㄏㄠ4", - "ㄏㄠ2", - "ㄒㄧㄠ1" - ], - "司": [ - "ㄙ1", - "ㄘ2", - "ㄙ4" - ], - "叹": [ - "ㄊㄢ4", - "ㄧ3", - "ㄧㄡ4" - ], - "叺": [ - "ㄔ3" - ], - "叻": [ - "ㄌㄜ4", - "ㄌㄧ4" - ], - "叼": [ - "ㄉㄧㄠ1" - ], - "叽": [ - "ㄐㄧ1", - "ㄐㄧㄠ4" - ], - "叾": [ - "ㄌㄧㄠ3" - ], - "叿": [ - "ㄏㄨㄥ1", - "ㄏㄨㄥ2" - ], - "吀": [ - "ㄇㄧㄝ1" - ], - "吁": [ - "ㄒㄩ1", - "ㄩ1", - "ㄩ4" - ], - "吂": [ - "ㄇㄤ2", - "ㄇㄤ4" - ], - "吃": [ - "ㄔ1", - "ㄑㄧ1" - ], - "各": [ - "ㄍㄜ4", - "ㄍㄜ3" - ], - "吅": [ - "ㄒㄩㄢ1", - "ㄙㄨㄥ4" - ], - "吆": [ - "ㄧㄠ1" - ], - "吇": [ - "ㄗ3", - "ㄐㄧ2" - ], - "合": [ - "ㄏㄜ2", - "ㄍㄜ3" - ], - "吉": [ - "ㄐㄧ2" - ], - "吊": [ - "ㄉㄧㄠ4" - ], - "吋": [ - "ㄘㄨㄣ4", - "ㄉㄡ4", - "ㄧㄥ1" - ], - "同": [ - "ㄊㄨㄥ2", - "ㄊㄨㄥ4" - ], - "名": [ - "ㄇㄧㄥ2", - "ㄇㄧㄥ4" - ], - "后": [ - "ㄏㄡ4" - ], - "吏": [ - "ㄌㄧ4" - ], - "吐": [ - "ㄊㄨ3", - "ㄊㄨ4" - ], - "向": [ - "ㄒㄧㄤ4" - ], - "吒": [ - "ㄓㄚ1", - "ㄓㄚ4" - ], - "吓": [ - "ㄒㄧㄚ4", - "ㄏㄜ4", - "ㄏㄚ4" - ], - "吔": [ - "ㄧㄝ3", - "ㄧㄝ1" - ], - "吕": [ - "ㄌㄩ3" - ], - "吖": [ - "ㄧㄚ1", - "ㄚ1" - ], - "吗": [ - "ㄇㄚ5", - "ㄇㄚ2", - "ㄇㄚ3" - ], - "吘": [ - "ㄡ3" - ], - "吙": [ - "ㄏㄨㄛ1" - ], - "吚": [ - "ㄧ1", - "ㄒㄧ1" - ], - "君": [ - "ㄐㄩㄣ1" - ], - "吜": [ - "ㄔㄡ3" - ], - "吝": [ - "ㄌㄧㄣ4" - ], - "吞": [ - "ㄊㄨㄣ1", - "ㄊㄧㄢ1" - ], - "吟": [ - "ㄧㄣ2", - "ㄧㄣ3", - "ㄐㄧㄣ4" - ], - "吠": [ - "ㄈㄟ4" - ], - "吡": [ - "ㄅㄧ3", - "ㄅㄧ4", - "ㄆㄧ3" - ], - "吢": [ - "ㄑㄧㄣ4" - ], - "吣": [ - "ㄑㄧㄣ4" - ], - "吤": [ - "ㄐㄧㄝ4", - "ㄍㄜ4", - "ㄒㄧㄝ4" - ], - "吥": [ - "ㄅㄨ4", - "ㄆㄡ1" - ], - "否": [ - "ㄈㄡ3", - "ㄆㄧ3" - ], - "吧": [ - "ㄅㄚ5", - "ㄅㄚ1", - "ㄆㄚ1" - ], - "吨": [ - "ㄉㄨㄣ1", - "ㄊㄨㄣ2", - "ㄊㄨㄣ3" - ], - "吩": [ - "ㄈㄣ1", - "ㄆㄣ4" - ], - "吪": [ - "ㄜ2", - "ㄏㄨㄚ1" - ], - "含": [ - "ㄏㄢ2", - "ㄏㄢ4" - ], - "听": [ - "ㄊㄧㄥ1", - "ㄧㄣ3", - "ㄧ2" - ], - "吭": [ - "ㄎㄥ1", - "ㄏㄤ2", - "ㄏㄤ4" - ], - "吮": [ - "ㄕㄨㄣ3" - ], - "启": [ - "ㄑㄧ3" - ], - "吰": [ - "ㄏㄨㄥ2" - ], - "吱": [ - "ㄓ1", - "ㄗ1", - "ㄑㄧ4" - ], - "吲": [ - "ㄧㄣ3", - "ㄕㄣ3" - ], - "吳": [ - "ㄨ2", - "ㄩ2" - ], - "吴": [ - "ㄨ2", - "ㄊㄨㄣ1" - ], - "吵": [ - "ㄔㄠ3", - "ㄔㄠ1", - "ㄇㄧㄠ3", - "ㄔㄠ4" - ], - "吶": [ - "ㄋㄚ4" - ], - "吷": [ - "ㄒㄩㄝ4", - "ㄔㄨㄛ4", - "ㄐㄩㄝ2" - ], - "吸": [ - "ㄒㄧ1" - ], - "吹": [ - "ㄔㄨㄟ1", - "ㄔㄨㄟ4" - ], - "吺": [ - "ㄉㄡ1", - "ㄖㄨ2" - ], - "吻": [ - "ㄨㄣ3" - ], - "吼": [ - "ㄏㄡ3" - ], - "吽": [ - "ㄏㄨㄥ1", - "ㄡ1", - "ㄏㄡ3" - ], - "吾": [ - "ㄨ2", - "ㄩ2", - "ㄧㄚ2" - ], - "吿": [ - "ㄍㄠ4" - ], - "呀": [ - "ㄧㄚ5", - "ㄧㄚ1", - "ㄒㄧㄚ1" - ], - "呁": [ - "ㄐㄩㄣ4" - ], - "呂": [ - "ㄌㄩ3" - ], - "呃": [ - "ㄜ4", - "ㄜ5", - "ㄞ4" - ], - "呄": [ - "ㄍㄜ2" - ], - "呅": [ - "ㄇㄟ2", - "ㄨㄣ3" - ], - "呆": [ - "ㄉㄞ1", - "ㄅㄠ3", - "ㄞ2" - ], - "呇": [ - "ㄑㄧ3", - "ㄇㄣ4" - ], - "呈": [ - "ㄔㄥ2", - "ㄎㄨㄤ2", - "ㄔㄥ3" - ], - "呉": [ - "ㄨ2" - ], - "告": [ - "ㄍㄠ4", - "ㄐㄩ1", - "ㄍㄨ4" - ], - "呋": [ - "ㄈㄨ1" - ], - "呌": [ - "ㄐㄧㄠ4" - ], - "呍": [ - "ㄏㄨㄥ1" - ], - "呎": [ - "ㄔ3", - "ㄧㄥ1" - ], - "呏": [ - "ㄕㄥ1" - ], - "呐": [ - "ㄋㄚ4", - "ㄋㄜ4", - "ㄋㄚ5", - "ㄋㄨㄛ4", - "ㄋㄜ5" - ], - "呑": [ - "ㄊㄨㄣ1" - ], - "呒": [ - "ㄨ3", - "ㄇㄨ2" - ], - "呓": [ - "ㄧ4" - ], - "呔": [ - "ㄉㄞ1", - "ㄊㄞ3" - ], - "呕": [ - "ㄡ3", - "ㄡ1", - "ㄡ4" - ], - "呖": [ - "ㄌㄧ4" - ], - "呗": [ - "ㄅㄟ5", - "ㄅㄞ4" - ], - "员": [ - "ㄩㄢ2", - "ㄩㄣ4", - "ㄩㄣ2" - ], - "呙": [ - "ㄍㄨㄛ1" - ], - "呚": [ - "ㄨㄣ5" - ], - "呛": [ - "ㄑㄧㄤ1", - "ㄑㄧㄤ4" - ], - "呜": [ - "ㄨ1" - ], - "呝": [ - "ㄜ4" - ], - "呞": [ - "ㄕ1" - ], - "呟": [ - "ㄐㄩㄢ3" - ], - "呠": [ - "ㄆㄣ3" - ], - "呡": [ - "ㄨㄣ3", - "ㄇㄧㄣ3" - ], - "呢": [ - "ㄋㄜ5", - "ㄋㄧ2", - "ㄋㄧ3", - "ㄋㄧ1" - ], - "呣": [ - "ㄇㄨ2", - "ㄇㄨ4", - "ㄇㄡ2" - ], - "呤": [ - "ㄌㄧㄥ4", - "ㄌㄧㄥ2" - ], - "呥": [ - "ㄖㄢ2" - ], - "呦": [ - "ㄧㄡ1" - ], - "呧": [ - "ㄉㄧ3" - ], - "周": [ - "ㄓㄡ1" - ], - "呩": [ - "ㄕ4" - ], - "呪": [ - "ㄓㄡ4" - ], - "呫": [ - "ㄊㄧㄝ4", - "ㄔㄜ4" - ], - "呬": [ - "ㄒㄧ4", - "ㄔ4" - ], - "呭": [ - "ㄧ4" - ], - "呮": [ - "ㄑㄧ4", - "ㄓ1" - ], - "呯": [ - "ㄆㄧㄥ2" - ], - "呰": [ - "ㄗ3", - "ㄘ1", - "ㄐㄧ1", - "ㄒㄧ4" - ], - "呱": [ - "ㄍㄨ1", - "ㄍㄨㄚ1", - "ㄍㄨㄚ3" - ], - "呲": [ - "ㄘ1", - "ㄘ2", - "ㄗ1" - ], - "味": [ - "ㄨㄟ4", - "ㄇㄟ4" - ], - "呴": [ - "ㄒㄩ3", - "ㄏㄡ3", - "ㄏㄡ1", - "ㄍㄡ4", - "ㄍㄡ1", - "ㄍㄨ1" - ], - "呵": [ - "ㄏㄜ1", - "ㄏㄚ1", - "ㄚ1", - "ㄚ5", - "ㄎㄜ1", - "ㄏㄨㄛ1", - "ㄚ2", - "ㄚ4" - ], - "呶": [ - "ㄋㄠ2", - "ㄋㄚ2", - "ㄋㄨ3" - ], - "呷": [ - "ㄍㄚ1", - "ㄒㄧㄚ1", - "ㄐㄧㄚ3" - ], - "呸": [ - "ㄆㄟ1" - ], - "呹": [ - "ㄧ4", - "ㄔ4" - ], - "呺": [ - "ㄒㄧㄠ1", - "ㄏㄠ2" - ], - "呻": [ - "ㄕㄣ1" - ], - "呼": [ - "ㄏㄨ1", - "ㄒㄧㄠ1", - "ㄒㄩ1", - "ㄏㄜ4", - "ㄒㄧㄚ4" - ], - "命": [ - "ㄇㄧㄥ4" - ], - "呾": [ - "ㄉㄚ2", - "ㄧㄚ4", - "ㄊㄚ3", - "ㄉㄢ4" - ], - "呿": [ - "ㄑㄩ4", - "ㄎㄚ1" - ], - "咀": [ - "ㄐㄩ3", - "ㄗㄨㄟ3" - ], - "咁": [ - "ㄍㄢ4", - "ㄏㄢ2", - "ㄒㄧㄢ2" - ], - "咂": [ - "ㄗㄚ1" - ], - "咃": [ - "ㄊㄨㄛ1" - ], - "咄": [ - "ㄉㄨㄛ1" - ], - "咅": [ - "ㄆㄡ3" - ], - "咆": [ - "ㄆㄠ2" - ], - "咇": [ - "ㄅㄧㄝ2", - "ㄅㄧ4" - ], - "咈": [ - "ㄈㄨ2" - ], - "咉": [ - "ㄧㄤ1", - "ㄧㄤ3" - ], - "咊": [ - "ㄏㄜ2" - ], - "咋": [ - "ㄗㄚ3", - "ㄗㄜ2", - "ㄓㄚ1", - "ㄓㄚ4" - ], - "和": [ - "ㄏㄜ2", - "ㄏㄜ4", - "ㄏㄨ2", - "ㄏㄨㄛ2", - "ㄏㄨㄛ4", - "ㄏㄨㄛ5" - ], - "咍": [ - "ㄏㄞ1", - "ㄊㄞ1" - ], - "咎": [ - "ㄐㄧㄡ4", - "ㄍㄠ1" - ], - "咏": [ - "ㄩㄥ3" - ], - "咐": [ - "ㄈㄨ4", - "ㄈㄨ2" - ], - "咑": [ - "ㄉㄚ1" - ], - "咒": [ - "ㄓㄡ4" - ], - "咓": [ - "ㄨㄚ3" - ], - "咔": [ - "ㄎㄚ1", - "ㄎㄚ3", - "ㄋㄨㄥ4" - ], - "咕": [ - "ㄍㄨ1", - "ㄍㄨ5" - ], - "咖": [ - "ㄎㄚ1", - "ㄍㄚ1", - "ㄐㄧㄚ1" - ], - "咗": [ - "ㄗㄨㄛ5" - ], - "咘": [ - "ㄅㄨ4" - ], - "咙": [ - "ㄌㄨㄥ2" - ], - "咚": [ - "ㄉㄨㄥ1" - ], - "咛": [ - "ㄋㄧㄥ2" - ], - "咜": [ - "ㄊㄚ5" - ], - "咝": [ - "ㄙ1" - ], - "咞": [ - "ㄒㄧㄢ4", - "ㄒㄧㄢ2" - ], - "咟": [ - "ㄏㄨㄛ4" - ], - "咠": [ - "ㄑㄧ4" - ], - "咡": [ - "ㄦ4", - "ㄦ2" - ], - "咢": [ - "ㄜ4" - ], - "咣": [ - "ㄍㄨㄤ1", - "ㄍㄨㄥ1" - ], - "咤": [ - "ㄓㄚ4" - ], - "咥": [ - "ㄒㄧ4", - "ㄒㄧ1", - "ㄉㄧㄝ2", - "ㄓ4" - ], - "咦": [ - "ㄧ2", - "ㄒㄧ1" - ], - "咧": [ - "ㄌㄧㄝ3", - "ㄌㄧㄝ1", - "ㄌㄧㄝ4", - "ㄌㄧㄝ2", - "ㄌㄧㄝ5" - ], - "咨": [ - "ㄗ1" - ], - "咩": [ - "ㄇㄧㄝ1", - "ㄇㄧㄝ5" - ], - "咪": [ - "ㄇㄧ1", - "ㄇㄧ3", - "ㄇㄧㄝ1", - "ㄇㄞ3" - ], - "咫": [ - "ㄓ3" - ], - "咬": [ - "ㄧㄠ3", - "ㄐㄧㄠ1", - "ㄧㄠ1", - "ㄐㄧㄠ3" - ], - "咭": [ - "ㄐㄧ1", - "ㄒㄧ1", - "ㄑㄧㄚ4" - ], - "咮": [ - "ㄓㄡ4", - "ㄓㄨ4", - "ㄓㄨ1", - "ㄖㄨ2" - ], - "咯": [ - "ㄍㄜ1", - "ㄎㄚ3", - "ㄌㄛ5", - "ㄌㄨㄛ4", - "ㄎㄚ1" - ], - "咰": [ - "ㄕㄨ4", - "ㄒㄩㄣ2" - ], - "咱": [ - "ㄗㄢ2", - "ㄗㄚ2", - "ㄗㄚ3", - "ㄗㄢ5" - ], - "咲": [ - "ㄒㄧㄠ4" - ], - "咳": [ - "ㄎㄜ2", - "ㄏㄞ1", - "ㄏㄞ2", - "ㄍㄞ1" - ], - "咴": [ - "ㄏㄨㄟ1", - "ㄏㄞ2" - ], - "咵": [ - "ㄎㄨㄚ3" - ], - "咶": [ - "ㄏㄨㄞ4", - "ㄕ4", - "ㄍㄨㄛ1", - "ㄍㄨㄚ1", - "ㄏㄨㄚ4" - ], - "咷": [ - "ㄊㄠ2", - "ㄊㄧㄠ4" - ], - "咸": [ - "ㄒㄧㄢ2", - "ㄐㄧㄢ3", - "ㄐㄧㄢ1" - ], - "咹": [ - "ㄜ4", - "ㄢ4", - "ㄣ2" - ], - "咺": [ - "ㄒㄩㄢ3", - "ㄒㄩㄢ1" - ], - "咻": [ - "ㄒㄧㄡ1", - "ㄒㄩ3", - "ㄒㄧㄠ1", - "ㄒㄩ4" - ], - "咼": [ - "ㄍㄨㄛ1", - "ㄨㄞ1", - "ㄏㄜ2", - "ㄨㄛ3", - "ㄨㄛ1", - "ㄍㄨㄚ3" - ], - "咽": [ - "ㄧㄢ4", - "ㄧㄢ1", - "ㄧㄝ4", - "ㄩㄢ1" - ], - "咾": [ - "ㄌㄠ3" - ], - "咿": [ - "ㄧ1" - ], - "哀": [ - "ㄞ1" - ], - "品": [ - "ㄆㄧㄣ3" - ], - "哂": [ - "ㄕㄣ3" - ], - "哃": [ - "ㄊㄨㄥ2" - ], - "哄": [ - "ㄏㄨㄥ3", - "ㄏㄨㄥ1", - "ㄏㄨㄥ4" - ], - "哅": [ - "ㄒㄩㄥ1", - "ㄏㄨㄥ1" - ], - "哆": [ - "ㄉㄨㄛ1", - "ㄔ3", - "ㄓㄚ4", - "ㄔ4", - "ㄉㄨㄛ4", - "ㄉㄧㄝ3" - ], - "哇": [ - "ㄨㄚ5", - "ㄨㄚ1", - "ㄍㄨㄟ1", - "ㄏㄨㄚ2", - "ㄨㄚ2" - ], - "哈": [ - "ㄏㄚ1", - "ㄏㄚ3", - "ㄏㄚ4", - "ㄏㄜ1", - "ㄏㄜ2", - "ㄊㄚ4", - "ㄕㄚ4" - ], - "哉": [ - "ㄗㄞ1" - ], - "哊": [ - "ㄧㄡ4" - ], - "哋": [ - "ㄉㄧㄝ4", - "ㄉㄧ4" - ], - "哌": [ - "ㄆㄞ4", - "ㄍㄨ1" - ], - "响": [ - "ㄒㄧㄤ3" - ], - "哎": [ - "ㄞ1" - ], - "哏": [ - "ㄍㄣ2", - "ㄏㄣ3", - "ㄣ4" - ], - "哐": [ - "ㄎㄨㄤ1", - "ㄑㄧㄤ1" - ], - "哑": [ - "ㄧㄚ3", - "ㄧㄚ1" - ], - "哒": [ - "ㄉㄚ2", - "ㄉㄚ1" - ], - "哓": [ - "ㄒㄧㄠ1" - ], - "哔": [ - "ㄅㄧ4" - ], - "哕": [ - "ㄏㄨㄟ4", - "ㄩㄝ3" - ], - "哖": [ - "ㄋㄧㄢ2" - ], - "哗": [ - "ㄏㄨㄚ1", - "ㄏㄨㄚ2" - ], - "哘": [ - "ㄒㄧㄥ5" - ], - "哙": [ - "ㄎㄨㄞ4" - ], - "哚": [ - "ㄉㄨㄛ3" - ], - "哛": [ - "ㄈㄣ1" - ], - "哜": [ - "ㄐㄧ4" - ], - "哝": [ - "ㄋㄨㄥ2" - ], - "哞": [ - "ㄇㄡ1" - ], - "哟": [ - "ㄧㄛ1", - "ㄧㄛ5" - ], - "哠": [ - "ㄏㄠ4" - ], - "員": [ - "ㄩㄢ2", - "ㄩㄣ2", - "ㄩㄣ4" - ], - "哢": [ - "ㄌㄨㄥ4" - ], - "哣": [ - "ㄆㄡ3" - ], - "哤": [ - "ㄇㄤ2" - ], - "哥": [ - "ㄍㄜ1" - ], - "哦": [ - "ㄛ2", - "ㄜ2", - "ㄛ4" - ], - "哧": [ - "ㄔ1", - "ㄒㄧㄚ4", - "ㄏㄜ4" - ], - "哨": [ - "ㄕㄠ4", - "ㄙㄠ1", - "ㄒㄧㄠ1", - "ㄒㄧㄠ4", - "ㄙㄠ4" - ], - "哩": [ - "ㄌㄧ1", - "ㄌㄧ5", - "ㄌㄧ4", - "ㄌㄧ3", - "ㄇㄞ2", - "ㄧㄥ1" - ], - "哪": [ - "ㄋㄚ3", - "ㄋㄚ5", - "ㄋㄜ2", - "ㄋㄨㄛ2", - "ㄋㄞ3", - "ㄋㄚ4", - "ㄋㄧㄝ4", - "ㄋㄟ3" - ], - "哫": [ - "ㄗㄨ2" - ], - "哬": [ - "ㄏㄜ2" - ], - "哭": [ - "ㄎㄨ1" - ], - "哮": [ - "ㄒㄧㄠ1", - "ㄒㄧㄠ4", - "ㄒㄩㄝ1" - ], - "哯": [ - "ㄒㄧㄢ4" - ], - "哰": [ - "ㄌㄠ2" - ], - "哱": [ - "ㄅㄛ1", - "ㄆㄛ4", - "ㄅㄟ4", - "ㄅㄚ1", - "ㄅㄛ2" - ], - "哲": [ - "ㄓㄜ2" - ], - "哳": [ - "ㄓㄚ1" - ], - "哴": [ - "ㄌㄧㄤ4", - "ㄌㄤ2" - ], - "哵": [ - "ㄅㄚ1" - ], - "哶": [ - "ㄇㄧㄝ1" - ], - "哷": [ - "ㄌㄧㄝ4", - "ㄌㄩ4" - ], - "哸": [ - "ㄙㄨㄟ1" - ], - "哹": [ - "ㄈㄨ2" - ], - "哺": [ - "ㄅㄨ3", - "ㄅㄨ1", - "ㄈㄨ3" - ], - "哻": [ - "ㄏㄢ1" - ], - "哼": [ - "ㄏㄥ1", - "ㄏㄋㄍ5" - ], - "哽": [ - "ㄍㄥ3", - "ㄧㄥ3", - "ㄧㄥ4", - "ㄋㄍ2", - "ㄣ2" - ], - "哾": [ - "ㄕㄨㄛ1", - "ㄩㄝ4" - ], - "哿": [ - "ㄍㄜ3" - ], - "唀": [ - "ㄧㄡ4" - ], - "唁": [ - "ㄧㄢ4" - ], - "唂": [ - "ㄍㄨ1" - ], - "唃": [ - "ㄍㄨ3" - ], - "唄": [ - "ㄅㄟ5", - "ㄅㄞ4" - ], - "唅": [ - "ㄏㄢ2" - ], - "唆": [ - "ㄙㄨㄛ1", - "ㄕㄨㄚ4" - ], - "唇": [ - "ㄔㄨㄣ2", - "ㄓㄣ1", - "ㄓㄣ4" - ], - "唈": [ - "ㄧ4" - ], - "唉": [ - "ㄞ1", - "ㄞ4", - "ㄞ3" - ], - "唊": [ - "ㄐㄧㄚ2", - "ㄑㄧㄢ3" - ], - "唋": [ - "ㄊㄨ1" - ], - "唌": [ - "ㄒㄧㄢ2", - "ㄧㄢ2", - "ㄉㄢ4" - ], - "唍": [ - "ㄨㄢ3" - ], - "唎": [ - "ㄌㄧ4" - ], - "唏": [ - "ㄒㄧ1", - "ㄒㄧㄝ4" - ], - "唐": [ - "ㄊㄤ2" - ], - "唑": [ - "ㄗㄨㄛ4", - "ㄕ4" - ], - "唒": [ - "ㄑㄧㄡ2" - ], - "唓": [ - "ㄔㄜ1" - ], - "唔": [ - "ㄨ2", - "ㄨ4", - "ㄋㄍ2", - "ㄇㄨ2", - "ㄣ2" - ], - "唕": [ - "ㄗㄠ4" - ], - "唖": [ - "ㄧㄚ3" - ], - "唗": [ - "ㄉㄡ1" - ], - "唘": [ - "ㄑㄧ3" - ], - "唙": [ - "ㄉㄧ2" - ], - "唚": [ - "ㄑㄧㄣ4", - "ㄑㄧㄣ1" - ], - "唛": [ - "ㄇㄚ4", - "ㄇㄞ4" - ], - "唜": [ - "ㄇㄛ4" - ], - "唝": [ - "ㄍㄨㄥ4", - "ㄏㄨㄥ3" - ], - "唞": [ - "ㄉㄡ3" - ], - "唟": [ - "ㄑㄩ4" - ], - "唠": [ - "ㄌㄠ2", - "ㄌㄠ4" - ], - "唡": [ - "ㄌㄧㄤ3", - "ㄧㄥ1" - ], - "唢": [ - "ㄙㄨㄛ3" - ], - "唣": [ - "ㄗㄠ4" - ], - "唤": [ - "ㄏㄨㄢ4" - ], - "唥": [ - "ㄌㄤ5" - ], - "唦": [ - "ㄕㄚ1" - ], - "唧": [ - "ㄐㄧ1", - "ㄐㄧㄝ2" - ], - "唨": [ - "ㄗㄨ3" - ], - "唩": [ - "ㄨㄛ1", - "ㄨㄟ3" - ], - "唪": [ - "ㄈㄥ3", - "ㄅㄥ3" - ], - "唫": [ - "ㄐㄧㄣ4", - "ㄧㄣ2" - ], - "唬": [ - "ㄏㄨ3", - "ㄒㄧㄠ1", - "ㄍㄨㄛ2", - "ㄒㄧㄚ4", - "ㄏㄠ2" - ], - "唭": [ - "ㄑㄧ4" - ], - "售": [ - "ㄕㄡ4", - "ㄕㄨ2" - ], - "唯": [ - "ㄨㄟ2", - "ㄨㄟ3" - ], - "唰": [ - "ㄕㄨㄚ1" - ], - "唱": [ - "ㄔㄤ4" - ], - "唲": [ - "ㄦ2", - "ㄨㄚ1" - ], - "唳": [ - "ㄌㄧ4" - ], - "唴": [ - "ㄑㄧㄤ4" - ], - "唵": [ - "ㄢ3", - "ㄋㄍ5", - "ㄋ5" - ], - "唶": [ - "ㄗㄜ2", - "ㄐㄧㄝ4" - ], - "唷": [ - "ㄧㄛ1", - "ㄩ4" - ], - "唸": [ - "ㄋㄧㄢ4", - "ㄉㄧㄢ4" - ], - "唹": [ - "ㄩ1" - ], - "唺": [ - "ㄊㄧㄢ3" - ], - "唻": [ - "ㄌㄞ4", - "ㄌㄞ2" - ], - "唼": [ - "ㄕㄚ4", - "ㄑㄧㄝ4" - ], - "唽": [ - "ㄒㄧ1" - ], - "唾": [ - "ㄊㄨㄛ4" - ], - "唿": [ - "ㄏㄨ1" - ], - "啀": [ - "ㄞ2" - ], - "啁": [ - "ㄓㄠ1", - "ㄓㄡ1", - "ㄉㄠ1", - "ㄊㄧㄠ2", - "ㄉㄧㄠ4" - ], - "啂": [ - "ㄋㄡ3" - ], - "啃": [ - "ㄎㄣ3" - ], - "啄": [ - "ㄓㄨㄛ2", - "ㄓㄡ4" - ], - "啅": [ - "ㄓㄨㄛ2", - "ㄓㄠ4" - ], - "商": [ - "ㄕㄤ1" - ], - "啇": [ - "ㄉㄧ4", - "ㄕ4", - "ㄓㄞ1" - ], - "啈": [ - "ㄏㄥ1", - "ㄏㄥ4", - "ㄜ4", - "ㄗㄚ2" - ], - "啉": [ - "ㄌㄧㄣ2", - "ㄌㄢ2", - "ㄌㄣ4" - ], - "啊": [ - "ㄚ5", - "ㄚ1", - "ㄚ2", - "ㄚ3", - "ㄚ4", - "ㄜ4" - ], - "啋": [ - "ㄘㄞ3", - "ㄘㄞ1", - "ㄒㄧㄠ1" - ], - "啌": [ - "ㄒㄧㄤ1", - "ㄑㄧㄤ1" - ], - "啍": [ - "ㄊㄨㄣ1", - "ㄓㄨㄣ1", - "ㄒㄧㄤ1", - "ㄊㄨㄟ1", - "ㄉㄨㄟ3" - ], - "啎": [ - "ㄨ3" - ], - "問": [ - "ㄨㄣ4" - ], - "啐": [ - "ㄘㄨㄟ4", - "ㄗㄨ2", - "ㄗㄚ2", - "ㄜ4", - "ㄔㄨㄞ4" - ], - "啑": [ - "ㄕㄚ4", - "ㄗㄚ1", - "ㄐㄧㄝ2", - "ㄉㄧㄝ2", - "ㄊㄧ4" - ], - "啒": [ - "ㄍㄨ3" - ], - "啓": [ - "ㄑㄧ3" - ], - "啔": [ - "ㄑㄧ3" - ], - "啕": [ - "ㄊㄠ2" - ], - "啖": [ - "ㄉㄢ4" - ], - "啗": [ - "ㄉㄢ4" - ], - "啘": [ - "ㄧㄝ4", - "ㄨㄚ1" - ], - "啙": [ - "ㄗ3", - "ㄘ1" - ], - "啚": [ - "ㄅㄧ3", - "ㄊㄨ2" - ], - "啛": [ - "ㄘㄨㄟ4" - ], - "啜": [ - "ㄔㄨㄞ4", - "ㄔㄨㄛ4", - "ㄓㄨㄛ2" - ], - "啝": [ - "ㄏㄜ2" - ], - "啞": [ - "ㄧㄚ3", - "ㄜ4", - "ㄧㄚ1" - ], - "啟": [ - "ㄑㄧ3" - ], - "啠": [ - "ㄓㄜ2" - ], - "啡": [ - "ㄈㄟ1", - "ㄆㄟ4", - "ㄆㄞ2", - "ㄆㄟ1", - "ㄅㄞ4" - ], - "啢": [ - "ㄌㄧㄤ3", - "ㄧㄥ1" - ], - "啣": [ - "ㄒㄧㄢ2" - ], - "啤": [ - "ㄆㄧ2" - ], - "啥": [ - "ㄕㄚ2", - "ㄕㄚ4" - ], - "啦": [ - "ㄌㄚ5", - "ㄌㄚ1" - ], - "啧": [ - "ㄗㄜ2" - ], - "啨": [ - "ㄧㄥ1", - "ㄑㄧㄥ2" - ], - "啩": [ - "ㄍㄨㄚ4" - ], - "啪": [ - "ㄆㄚ1" - ], - "啫": [ - "ㄓㄜ3" - ], - "啬": [ - "ㄙㄜ4" - ], - "啭": [ - "ㄓㄨㄢ4" - ], - "啮": [ - "ㄋㄧㄝ4" - ], - "啯": [ - "ㄍㄨㄛ1" - ], - "啰": [ - "ㄌㄨㄛ1", - "ㄌㄨㄛ2", - "ㄌㄨㄛ5" - ], - "啱": [ - "ㄧㄢ2" - ], - "啲": [ - "ㄉㄧ1" - ], - "啳": [ - "ㄑㄩㄢ2", - "ㄐㄩㄝ2" - ], - "啴": [ - "ㄔㄢ3", - "ㄊㄢ1" - ], - "啵": [ - "ㄅㄛ1", - "ㄅㄛ5" - ], - "啶": [ - "ㄉㄧㄥ4" - ], - "啷": [ - "ㄌㄤ1" - ], - "啸": [ - "ㄒㄧㄠ4" - ], - "啹": [ - "ㄐㄩ2" - ], - "啺": [ - "ㄊㄤ2" - ], - "啻": [ - "ㄔ4", - "ㄉㄧ4" - ], - "啼": [ - "ㄊㄧ2" - ], - "啽": [ - "ㄢ2", - "ㄢ1" - ], - "啾": [ - "ㄐㄧㄡ1" - ], - "啿": [ - "ㄉㄢ4" - ], - "喀": [ - "ㄎㄚ1", - "ㄎㄜ4", - "ㄎㄜ5" - ], - "喁": [ - "ㄩㄥ2", - "ㄩ2" - ], - "喂": [ - "ㄨㄟ4" - ], - "喃": [ - "ㄋㄢ2", - "ㄋㄢ3" - ], - "善": [ - "ㄕㄢ4" - ], - "喅": [ - "ㄩ4" - ], - "喆": [ - "ㄓㄜ2" - ], - "喇": [ - "ㄌㄚ3", - "ㄌㄚ2", - "ㄌㄚ1", - "ㄌㄚ5" - ], - "喈": [ - "ㄐㄧㄝ1", - "ㄒㄧㄝ4" - ], - "喉": [ - "ㄏㄡ2" - ], - "喊": [ - "ㄏㄢ3", - "ㄎㄢ4", - "ㄐㄧㄢ1" - ], - "喋": [ - "ㄉㄧㄝ2", - "ㄓㄚ2", - "ㄑㄧㄝ4" - ], - "喌": [ - "ㄓㄡ1" - ], - "喍": [ - "ㄔㄞ2" - ], - "喎": [ - "ㄨㄞ1" - ], - "喏": [ - "ㄋㄨㄛ4", - "ㄖㄜ3" - ], - "喐": [ - "ㄩ4" - ], - "喑": [ - "ㄧㄣ1", - "ㄧㄣ3", - "ㄧㄣ4" - ], - "喒": [ - "ㄗㄚ2", - "ㄗㄢ3", - "ㄗㄢ2", - "ㄗㄚ4", - "ㄗㄢ5" - ], - "喓": [ - "ㄧㄠ1" - ], - "喔": [ - "ㄛ1", - "ㄨㄛ1", - "ㄨ1", - "ㄛ5", - "ㄛ4" - ], - "喕": [ - "ㄇㄧㄢ3" - ], - "喖": [ - "ㄏㄨ2" - ], - "喗": [ - "ㄩㄣ3" - ], - "喘": [ - "ㄔㄨㄢ3" - ], - "喙": [ - "ㄏㄨㄟ4", - "ㄓㄡ4" - ], - "喚": [ - "ㄏㄨㄢ4" - ], - "喛": [ - "ㄏㄨㄢ4", - "ㄩㄢ2", - "ㄒㄩㄢ3", - "ㄏㄜ2" - ], - "喜": [ - "ㄒㄧ3", - "ㄒㄧ1", - "ㄔ4" - ], - "喝": [ - "ㄏㄜ1", - "ㄏㄜ4", - "ㄧㄝ4", - "ㄎㄞ4" - ], - "喞": [ - "ㄐㄧ1" - ], - "喟": [ - "ㄎㄨㄟ4", - "ㄏㄨㄞ4" - ], - "喠": [ - "ㄓㄨㄥ3", - "ㄔㄨㄥ3" - ], - "喡": [ - "ㄨㄟ2", - "ㄨㄟ4" - ], - "喢": [ - "ㄕㄚ4", - "ㄔㄜ4" - ], - "喣": [ - "ㄒㄩ3" - ], - "喤": [ - "ㄏㄨㄤ2" - ], - "喥": [ - "ㄉㄨㄛ2", - "ㄓㄚ4" - ], - "喦": [ - "ㄋㄧㄝ4", - "ㄧ4" - ], - "喧": [ - "ㄒㄩㄢ1", - "ㄒㄩㄢ3" - ], - "喨": [ - "ㄌㄧㄤ4" - ], - "喩": [ - "ㄩ4" - ], - "喪": [ - "ㄙㄤ4", - "ㄙㄤ1" - ], - "喫": [ - "ㄔ1", - "ㄎㄞ4" - ], - "喬": [ - "ㄑㄧㄠ2", - "ㄐㄧㄠ3" - ], - "喭": [ - "ㄧㄢ4", - "ㄧㄢ3" - ], - "單": [ - "ㄉㄢ1", - "ㄉㄢ3", - "ㄔㄢ2", - "ㄕㄢ4", - "ㄔㄢ3", - "ㄉㄢ4", - "ㄓㄢ4", - "ㄊㄢ2" - ], - "喯": [ - "ㄆㄣ4", - "ㄅㄣ1" - ], - "喰": [ - "ㄘㄢ1", - "ㄙㄨㄣ1", - "ㄑㄧ1" - ], - "喱": [ - "ㄌㄧ2" - ], - "喲": [ - "ㄧㄛ1", - "ㄧㄛ5" - ], - "喳": [ - "ㄓㄚ1", - "ㄔㄚ1", - "ㄓㄚ5" - ], - "喴": [ - "ㄨㄟ1" - ], - "喵": [ - "ㄇㄧㄠ1" - ], - "営": [ - "ㄧㄥ2" - ], - "喷": [ - "ㄆㄣ1", - "ㄆㄣ4" - ], - "喸": [ - "ㄅㄨ3" - ], - "喹": [ - "ㄎㄨㄟ2" - ], - "喺": [ - "ㄒㄧ2" - ], - "喻": [ - "ㄩ4", - "ㄩ2" - ], - "喼": [ - "ㄐㄧㄝ1" - ], - "喽": [ - "ㄌㄡ2", - "ㄌㄡ5" - ], - "喾": [ - "ㄎㄨ4" - ], - "喿": [ - "ㄗㄠ4", - "ㄑㄧㄠ1" - ], - "嗀": [ - "ㄏㄨ4" - ], - "嗁": [ - "ㄊㄧ2" - ], - "嗂": [ - "ㄧㄠ2" - ], - "嗃": [ - "ㄏㄜ4", - "ㄒㄧㄠ1", - "ㄒㄧㄠ4", - "ㄏㄨ4" - ], - "嗄": [ - "ㄚ2", - "ㄕㄚ4", - "ㄚ5", - "ㄒㄧㄚ4" - ], - "嗅": [ - "ㄒㄧㄡ4" - ], - "嗆": [ - "ㄑㄧㄤ1", - "ㄑㄧㄤ4", - "ㄔㄥ2" - ], - "嗇": [ - "ㄙㄜ4" - ], - "嗈": [ - "ㄩㄥ1" - ], - "嗉": [ - "ㄙㄨ4" - ], - "嗊": [ - "ㄏㄨㄥ3", - "ㄍㄨㄥ3", - "ㄍㄨㄥ4" - ], - "嗋": [ - "ㄒㄧㄝ2" - ], - "嗌": [ - "ㄞ4", - "ㄧ4", - "ㄨㄛ4" - ], - "嗍": [ - "ㄙㄨㄛ1", - "ㄕㄨㄛ4" - ], - "嗎": [ - "ㄇㄚ5", - "ㄇㄚ4", - "ㄇㄚ2", - "ㄇㄚ3" - ], - "嗏": [ - "ㄔㄚ1" - ], - "嗐": [ - "ㄏㄞ4" - ], - "嗑": [ - "ㄎㄜ1", - "ㄎㄜ4", - "ㄏㄜ2", - "ㄒㄧㄚ2" - ], - "嗒": [ - "ㄉㄚ1", - "ㄊㄚ4", - "ㄉㄚ5" - ], - "嗓": [ - "ㄙㄤ3" - ], - "嗔": [ - "ㄔㄣ1", - "ㄊㄧㄢ2" - ], - "嗕": [ - "ㄖㄨ4" - ], - "嗖": [ - "ㄙㄡ1", - "ㄙㄨ4", - "ㄙㄡ4" - ], - "嗗": [ - "ㄨㄚ1", - "ㄍㄨ1" - ], - "嗘": [ - "ㄐㄧ1" - ], - "嗙": [ - "ㄆㄤ3", - "ㄅㄥ1", - "ㄅㄤ4" - ], - "嗚": [ - "ㄨ1", - "ㄨ4" - ], - "嗛": [ - "ㄑㄧㄢ3", - "ㄒㄧㄢ2", - "ㄑㄧㄢ4", - "ㄑㄧㄢ1", - "ㄑㄧㄝ4" - ], - "嗜": [ - "ㄕ4" - ], - "嗝": [ - "ㄍㄜ2" - ], - "嗞": [ - "ㄗ1" - ], - "嗟": [ - "ㄐㄧㄝ1", - "ㄐㄧㄝ4", - "ㄐㄩㄝ1" - ], - "嗠": [ - "ㄌㄠ4" - ], - "嗡": [ - "ㄨㄥ1", - "ㄨㄥ3" - ], - "嗢": [ - "ㄨㄚ4" - ], - "嗣": [ - "ㄙ4" - ], - "嗤": [ - "ㄔ1" - ], - "嗥": [ - "ㄏㄠ2" - ], - "嗦": [ - "ㄙㄨㄛ5", - "ㄙㄨㄛ1" - ], - "嗨": [ - "ㄏㄞ1", - "ㄏㄟ1" - ], - "嗩": [ - "ㄙㄨㄛ3" - ], - "嗪": [ - "ㄑㄧㄣ2" - ], - "嗫": [ - "ㄋㄧㄝ4" - ], - "嗬": [ - "ㄏㄜ1" - ], - "嗭": [ - "ㄓ2" - ], - "嗮": [ - "ㄙㄞ4" - ], - "嗯": [ - "ㄣ2", - "ㄋㄍ2", - "ㄋㄍ3", - "ㄋㄍ4", - "ㄣ3", - "ㄣ4" - ], - "嗰": [ - "ㄍㄜ3" - ], - "嗱": [ - "ㄋㄚ2" - ], - "嗲": [ - "ㄉㄧㄝ1", - "ㄉㄧㄚ3" - ], - "嗳": [ - "ㄞ1", - "ㄞ3", - "ㄞ4" - ], - "嗴": [ - "ㄑㄧㄤ1" - ], - "嗵": [ - "ㄊㄨㄥ1" - ], - "嗶": [ - "ㄅㄧ4" - ], - "嗷": [ - "ㄠ2" - ], - "嗸": [ - "ㄠ2" - ], - "嗹": [ - "ㄌㄧㄢ2" - ], - "嗺": [ - "ㄗㄨㄟ1", - "ㄙㄨㄟ1", - "ㄗㄨㄟ3" - ], - "嗻": [ - "ㄓㄜ1", - "ㄓㄜ4", - "ㄓㄨ4", - "ㄓㄜ5" - ], - "嗼": [ - "ㄇㄛ4" - ], - "嗽": [ - "ㄙㄡ4", - "ㄕㄨㄛ4", - "ㄕㄨ4" - ], - "嗾": [ - "ㄙㄡ3" - ], - "嗿": [ - "ㄊㄢ3" - ], - "嘀": [ - "ㄉㄧ2", - "ㄓㄜ2", - "ㄉㄧ1" - ], - "嘁": [ - "ㄑㄧ1", - "ㄗㄨ2", - "ㄗㄚ1" - ], - "嘂": [ - "ㄐㄧㄠ4" - ], - "嘃": [ - "ㄔㄨㄥ1" - ], - "嘄": [ - "ㄐㄧㄠ1", - "ㄐㄧㄠ4", - "ㄉㄠ3" - ], - "嘅": [ - "ㄎㄞ3", - "ㄎㄞ4", - "ㄍㄜ2" - ], - "嘆": [ - "ㄊㄢ4" - ], - "嘇": [ - "ㄕㄢ1", - "ㄘㄢ4", - "ㄕㄣ3" - ], - "嘈": [ - "ㄘㄠ2" - ], - "嘉": [ - "ㄐㄧㄚ1" - ], - "嘊": [ - "ㄞ2" - ], - "嘋": [ - "ㄒㄧㄠ4" - ], - "嘌": [ - "ㄆㄧㄠ4", - "ㄆㄧㄠ1" - ], - "嘍": [ - "ㄌㄡ2", - "ㄌㄡ3", - "ㄌㄡ5" - ], - "嘎": [ - "ㄍㄚ1", - "ㄍㄚ2", - "ㄍㄚ3" - ], - "嘏": [ - "ㄍㄨ3", - "ㄐㄧㄚ3" - ], - "嘐": [ - "ㄒㄧㄠ1", - "ㄐㄧㄠ1", - "ㄌㄠ2", - "ㄅㄠ4", - "ㄇㄧㄡ4" - ], - "嘑": [ - "ㄏㄨ1", - "ㄏㄨ4" - ], - "嘒": [ - "ㄏㄨㄟ4" - ], - "嘓": [ - "ㄍㄨㄛ1" - ], - "嘔": [ - "ㄡ3", - "ㄡ1", - "ㄡ4", - "ㄒㄩ1", - "ㄔㄨ1", - "ㄡ5" - ], - "嘕": [ - "ㄒㄧㄢ1" - ], - "嘖": [ - "ㄗㄜ2" - ], - "嘗": [ - "ㄔㄤ2" - ], - "嘘": [ - "ㄒㄩ1", - "ㄕ1" - ], - "嘙": [ - "ㄆㄛ2" - ], - "嘚": [ - "ㄉㄜ1", - "ㄉㄟ1", - "ㄉㄜ2", - "ㄉㄞ1" - ], - "嘛": [ - "ㄇㄚ5", - "ㄇㄚ2" - ], - "嘜": [ - "ㄇㄚ4" - ], - "嘝": [ - "ㄏㄨ2" - ], - "嘞": [ - "ㄌㄟ5", - "ㄌㄜ1" - ], - "嘟": [ - "ㄉㄨ1" - ], - "嘠": [ - "ㄍㄚ1" - ], - "嘡": [ - "ㄊㄤ1" - ], - "嘢": [ - "ㄧㄝ3" - ], - "嘣": [ - "ㄅㄥ1" - ], - "嘤": [ - "ㄧㄥ1" - ], - "嘥": [ - "ㄙㄞ1" - ], - "嘦": [ - "ㄐㄧㄠ4" - ], - "嘧": [ - "ㄇㄧ4" - ], - "嘨": [ - "ㄒㄧㄠ4" - ], - "嘩": [ - "ㄏㄨㄚ1", - "ㄏㄨㄚ2" - ], - "嘪": [ - "ㄇㄞ3" - ], - "嘫": [ - "ㄖㄢ2" - ], - "嘬": [ - "ㄔㄨㄞ4", - "ㄗㄨㄛ1" - ], - "嘭": [ - "ㄆㄥ1" - ], - "嘮": [ - "ㄌㄠ2", - "ㄔㄠ1", - "ㄌㄠ4", - "ㄒㄧㄠ1" - ], - "嘯": [ - "ㄒㄧㄠ4", - "ㄔ4" - ], - "嘰": [ - "ㄐㄧ1" - ], - "嘱": [ - "ㄓㄨ3" - ], - "嘲": [ - "ㄔㄠ2", - "ㄓㄠ1" - ], - "嘳": [ - "ㄎㄨㄟ4" - ], - "嘴": [ - "ㄗㄨㄟ3" - ], - "嘵": [ - "ㄒㄧㄠ1" - ], - "嘶": [ - "ㄙ1" - ], - "嘷": [ - "ㄏㄠ2" - ], - "嘸": [ - "ㄈㄨ3", - "ㄨ3", - "ㄇㄨ1", - "ㄇㄨ2" - ], - "嘹": [ - "ㄌㄧㄠ2", - "ㄌㄧㄠ4" - ], - "嘺": [ - "ㄑㄧㄠ2", - "ㄑㄧㄠ4" - ], - "嘻": [ - "ㄒㄧ1" - ], - "嘼": [ - "ㄔㄨ4", - "ㄒㄩ4", - "ㄕㄡ4" - ], - "嘽": [ - "ㄔㄢ3", - "ㄊㄢ1", - "ㄔㄢ1", - "ㄊㄨㄛ1", - "ㄉㄢ3" - ], - "嘾": [ - "ㄉㄢ4", - "ㄊㄢ2" - ], - "嘿": [ - "ㄏㄟ1", - "ㄇㄛ4", - "ㄇㄨ4" - ], - "噀": [ - "ㄒㄩㄣ4" - ], - "噁": [ - "ㄜ3", - "ㄨ4", - "ㄨㄛ4" - ], - "噂": [ - "ㄗㄨㄣ3" - ], - "噃": [ - "ㄈㄢ1", - "ㄅㄛ5" - ], - "噄": [ - "ㄔ1" - ], - "噅": [ - "ㄏㄨㄟ1" - ], - "噆": [ - "ㄗㄢ3", - "ㄘㄢ3" - ], - "噇": [ - "ㄔㄨㄤ2" - ], - "噈": [ - "ㄘㄨ4", - "ㄗㄚ1", - "ㄏㄜ2" - ], - "噉": [ - "ㄉㄢ4" - ], - "噊": [ - "ㄩ4" - ], - "噋": [ - "ㄊㄨㄣ1", - "ㄎㄨㄛ4" - ], - "噌": [ - "ㄘㄥ1", - "ㄔㄥ1" - ], - "噍": [ - "ㄐㄧㄠ4", - "ㄐㄧㄠ1", - "ㄐㄧㄡ1" - ], - "噎": [ - "ㄧㄝ1", - "ㄧ4", - "ㄕㄚ4" - ], - "噏": [ - "ㄒㄧ1" - ], - "噐": [ - "ㄑㄧ4" - ], - "噑": [ - "ㄏㄠ2" - ], - "噒": [ - "ㄌㄧㄢ2" - ], - "噓": [ - "ㄒㄩ1" - ], - "噔": [ - "ㄉㄥ1" - ], - "噕": [ - "ㄏㄨㄟ1" - ], - "噖": [ - "ㄧㄣ2" - ], - "噗": [ - "ㄆㄨ1" - ], - "噘": [ - "ㄐㄩㄝ1" - ], - "噙": [ - "ㄑㄧㄣ2" - ], - "噚": [ - "ㄒㄩㄣ2" - ], - "噛": [ - "ㄋㄧㄝ4" - ], - "噜": [ - "ㄌㄨ1" - ], - "噝": [ - "ㄙ1" - ], - "噞": [ - "ㄧㄢ3" - ], - "噟": [ - "ㄧㄥ4" - ], - "噠": [ - "ㄉㄚ1", - "ㄉㄚ2" - ], - "噡": [ - "ㄓㄢ1", - "ㄉㄢ1" - ], - "噢": [ - "ㄛ1", - "ㄩ3", - "ㄩ4", - "ㄠ4" - ], - "噣": [ - "ㄓㄡ4", - "ㄓㄨㄛ2", - "ㄓㄨ2", - "ㄉㄨ2" - ], - "噤": [ - "ㄐㄧㄣ4" - ], - "噥": [ - "ㄋㄨㄥ2", - "ㄋㄤ2" - ], - "噦": [ - "ㄩㄝ3", - "ㄏㄨㄟ4" - ], - "噧": [ - "ㄒㄧㄝ4" - ], - "器": [ - "ㄑㄧ4" - ], - "噩": [ - "ㄜ4" - ], - "噪": [ - "ㄗㄠ4" - ], - "噫": [ - "ㄧ1", - "ㄞ3", - "ㄧ4" - ], - "噬": [ - "ㄕ4" - ], - "噭": [ - "ㄐㄧㄠ4", - "ㄑㄧㄠ4", - "ㄔ1" - ], - "噮": [ - "ㄩㄢ4" - ], - "噯": [ - "ㄞ1", - "ㄞ3", - "ㄞ4" - ], - "噰": [ - "ㄩㄥ1", - "ㄩㄥ3" - ], - "噱": [ - "ㄐㄩㄝ2", - "ㄒㄩㄝ2" - ], - "噲": [ - "ㄎㄨㄞ4", - "ㄍㄨㄞ4", - "ㄎㄨㄛ4", - "ㄨㄟ4" - ], - "噳": [ - "ㄩ3" - ], - "噴": [ - "ㄆㄣ1", - "ㄆㄣ4", - "ㄈㄣ4" - ], - "噵": [ - "ㄉㄠ4" - ], - "噶": [ - "ㄍㄚ2", - "ㄍㄜ2" - ], - "噷": [ - "ㄏㄇ5", - "ㄒㄧㄣ1", - "ㄏㄣ1" - ], - "噸": [ - "ㄉㄨㄣ1" - ], - "噹": [ - "ㄉㄤ1" - ], - "噺": [ - "ㄒㄧㄣ1" - ], - "噻": [ - "ㄙㄞ1" - ], - "噼": [ - "ㄆㄧ1" - ], - "噽": [ - "ㄆㄧ3" - ], - "噾": [ - "ㄧㄣ1" - ], - "噿": [ - "ㄗㄨㄟ3" - ], - "嚀": [ - "ㄋㄧㄥ2" - ], - "嚁": [ - "ㄉㄧ2" - ], - "嚂": [ - "ㄌㄢ4", - "ㄏㄢ3" - ], - "嚃": [ - "ㄊㄚ1", - "ㄊㄚ4" - ], - "嚄": [ - "ㄏㄨㄛ1", - "ㄏㄨㄛ4", - "ㄨㄛ4", - "ㄛ3" - ], - "嚅": [ - "ㄖㄨ2" - ], - "嚆": [ - "ㄏㄠ1" - ], - "嚇": [ - "ㄒㄧㄚ4", - "ㄏㄜ4" - ], - "嚈": [ - "ㄧㄝ4" - ], - "嚉": [ - "ㄉㄨㄛ1" - ], - "嚊": [ - "ㄆㄧ4", - "ㄒㄧ4", - "ㄒㄧㄡ4" - ], - "嚋": [ - "ㄔㄡ2", - "ㄓㄡ1" - ], - "嚌": [ - "ㄐㄧ4", - "ㄐㄧㄝ1", - "ㄓㄞ1" - ], - "嚍": [ - "ㄐㄧㄣ4" - ], - "嚎": [ - "ㄏㄠ2" - ], - "嚏": [ - "ㄊㄧ4" - ], - "嚐": [ - "ㄔㄤ2" - ], - "嚑": [ - "ㄒㄩㄣ1" - ], - "嚒": [ - "ㄇㄜ1" - ], - "嚓": [ - "ㄘㄚ1", - "ㄔㄚ1" - ], - "嚔": [ - "ㄊㄧ4", - "ㄓ4" - ], - "嚕": [ - "ㄌㄨ3", - "ㄌㄨ1" - ], - "嚖": [ - "ㄏㄨㄟ4" - ], - "嚗": [ - "ㄅㄛ2", - "ㄆㄠ4", - "ㄅㄠ4" - ], - "嚘": [ - "ㄧㄡ1" - ], - "嚙": [ - "ㄋㄧㄝ4", - "ㄧㄠ3" - ], - "嚚": [ - "ㄧㄣ2" - ], - "嚛": [ - "ㄏㄨ4", - "ㄧㄛ5" - ], - "嚜": [ - "ㄇㄜ5", - "ㄇㄟ4", - "ㄇㄚ5" - ], - "嚝": [ - "ㄏㄨㄥ1" - ], - "嚞": [ - "ㄓㄜ2" - ], - "嚟": [ - "ㄌㄧ2" - ], - "嚠": [ - "ㄌㄧㄡ2" - ], - "嚡": [ - "ㄏㄞ5" - ], - "嚢": [ - "ㄋㄤ2" - ], - "嚣": [ - "ㄒㄧㄠ1", - "ㄠ2" - ], - "嚤": [ - "ㄇㄛ2" - ], - "嚥": [ - "ㄧㄢ4" - ], - "嚦": [ - "ㄌㄧ4" - ], - "嚧": [ - "ㄌㄨ2" - ], - "嚨": [ - "ㄌㄨㄥ2" - ], - "嚩": [ - "ㄇㄛ2" - ], - "嚪": [ - "ㄉㄢ4" - ], - "嚫": [ - "ㄔㄣ4" - ], - "嚬": [ - "ㄆㄧㄣ2" - ], - "嚭": [ - "ㄆㄧ3" - ], - "嚮": [ - "ㄒㄧㄤ4", - "ㄒㄧㄤ3" - ], - "嚯": [ - "ㄏㄨㄛ4", - "ㄒㄩㄝ4" - ], - "嚰": [ - "ㄇㄛ2" - ], - "嚱": [ - "ㄒㄧ4" - ], - "嚲": [ - "ㄉㄨㄛ3" - ], - "嚳": [ - "ㄎㄨ4" - ], - "嚴": [ - "ㄧㄢ2", - "ㄧㄢ3" - ], - "嚵": [ - "ㄔㄢ2", - "ㄔㄢ1" - ], - "嚶": [ - "ㄧㄥ1" - ], - "嚷": [ - "ㄖㄤ3", - "ㄖㄤ1" - ], - "嚸": [ - "ㄉㄧㄢ3" - ], - "嚹": [ - "ㄌㄚ2", - "ㄌㄚ5" - ], - "嚺": [ - "ㄊㄚ4" - ], - "嚻": [ - "ㄒㄧㄠ1" - ], - "嚼": [ - "ㄐㄩㄝ2", - "ㄐㄧㄠ2", - "ㄐㄧㄠ4" - ], - "嚽": [ - "ㄔㄨㄛ4" - ], - "嚾": [ - "ㄏㄨㄢ1", - "ㄏㄨㄢ4" - ], - "嚿": [ - "ㄏㄨㄛ4" - ], - "囀": [ - "ㄓㄨㄢ4" - ], - "囁": [ - "ㄋㄧㄝ4", - "ㄓㄜ2" - ], - "囂": [ - "ㄒㄧㄠ1", - "ㄠ2" - ], - "囃": [ - "ㄘㄚ4", - "ㄓㄚ1", - "ㄗㄚ3" - ], - "囄": [ - "ㄌㄧ2" - ], - "囅": [ - "ㄔㄢ3" - ], - "囆": [ - "ㄔㄞ4" - ], - "囇": [ - "ㄌㄧ4" - ], - "囈": [ - "ㄧ4" - ], - "囉": [ - "ㄌㄨㄛ1", - "ㄌㄨㄛ2", - "ㄌㄨㄛ5" - ], - "囊": [ - "ㄋㄤ2", - "ㄋㄤ1" - ], - "囋": [ - "ㄗㄚ2", - "ㄗㄢ4", - "ㄘㄢ1" - ], - "囌": [ - "ㄙㄨ1" - ], - "囍": [ - "ㄒㄧ3" - ], - "囎": [ - "ㄗㄣ5" - ], - "囏": [ - "ㄐㄧㄢ1" - ], - "囐": [ - "ㄗㄚ2", - "ㄋㄧㄝ4", - "ㄧㄢ4", - "ㄜ4" - ], - "囑": [ - "ㄓㄨ3" - ], - "囒": [ - "ㄌㄢ2" - ], - "囓": [ - "ㄋㄧㄝ4" - ], - "囔": [ - "ㄋㄤ1", - "ㄋㄤ5" - ], - "囕": [ - "ㄌㄢ3" - ], - "囖": [ - "ㄌㄛ5" - ], - "囗": [ - "ㄨㄟ2", - "ㄍㄨㄛ2" - ], - "囘": [ - "ㄏㄨㄟ2" - ], - "囙": [ - "ㄧㄣ1" - ], - "囚": [ - "ㄑㄧㄡ2" - ], - "四": [ - "ㄙ4" - ], - "囜": [ - "ㄋㄧㄣ2" - ], - "囝": [ - "ㄐㄧㄢ3", - "ㄋㄢ1", - "ㄩㄝ4" - ], - "回": [ - "ㄏㄨㄟ2" - ], - "囟": [ - "ㄒㄧㄣ4" - ], - "因": [ - "ㄧㄣ1" - ], - "囡": [ - "ㄋㄢ1", - "ㄋㄧㄝ4" - ], - "团": [ - "ㄊㄨㄢ2", - "ㄑㄧㄡ2" - ], - "団": [ - "ㄊㄨㄢ2" - ], - "囤": [ - "ㄉㄨㄣ4", - "ㄊㄨㄣ2" - ], - "囥": [ - "ㄎㄤ4" - ], - "囦": [ - "ㄩㄢ1" - ], - "囧": [ - "ㄐㄩㄥ3" - ], - "囨": [ - "ㄆㄧㄢ1" - ], - "囩": [ - "ㄩㄣ2" - ], - "囪": [ - "ㄘㄨㄥ1" - ], - "囫": [ - "ㄏㄨ2" - ], - "囬": [ - "ㄏㄨㄟ2" - ], - "园": [ - "ㄩㄢ2", - "ㄨㄢ2" - ], - "囮": [ - "ㄜ2" - ], - "囯": [ - "ㄍㄨㄛ2" - ], - "困": [ - "ㄎㄨㄣ4" - ], - "囱": [ - "ㄘㄨㄥ1", - "ㄔㄨㄤ1" - ], - "囲": [ - "ㄊㄨㄥ1" - ], - "図": [ - "ㄊㄨ2" - ], - "围": [ - "ㄨㄟ2" - ], - "囵": [ - "ㄌㄨㄣ2" - ], - "囶": [ - "ㄍㄨㄛ2" - ], - "囷": [ - "ㄑㄩㄣ1" - ], - "囸": [ - "ㄖ4" - ], - "囹": [ - "ㄌㄧㄥ2" - ], - "固": [ - "ㄍㄨ4" - ], - "囻": [ - "ㄍㄨㄛ2" - ], - "囼": [ - "ㄊㄞ1" - ], - "国": [ - "ㄍㄨㄛ2" - ], - "图": [ - "ㄊㄨ2" - ], - "囿": [ - "ㄧㄡ4" - ], - "圀": [ - "ㄍㄨㄛ2" - ], - "圁": [ - "ㄧㄣ2" - ], - "圂": [ - "ㄏㄨㄣ4", - "ㄏㄨㄢ4" - ], - "圃": [ - "ㄆㄨ3" - ], - "圄": [ - "ㄩ3" - ], - "圅": [ - "ㄏㄢ2" - ], - "圆": [ - "ㄩㄢ2" - ], - "圇": [ - "ㄌㄨㄣ2" - ], - "圈": [ - "ㄑㄩㄢ1", - "ㄐㄩㄢ1", - "ㄐㄩㄢ4", - "ㄑㄩㄢ2", - "ㄐㄩㄢ3" - ], - "圉": [ - "ㄩ3" - ], - "圊": [ - "ㄑㄧㄥ1" - ], - "國": [ - "ㄍㄨㄛ2" - ], - "圌": [ - "ㄔㄨㄢ2", - "ㄔㄨㄟ2" - ], - "圍": [ - "ㄨㄟ2" - ], - "圎": [ - "ㄩㄢ2" - ], - "圏": [ - "ㄑㄩㄢ1" - ], - "圐": [ - "ㄎㄨ1" - ], - "圑": [ - "ㄆㄨ3" - ], - "園": [ - "ㄩㄢ2" - ], - "圓": [ - "ㄩㄢ2" - ], - "圔": [ - "ㄧㄚ4" - ], - "圕": [ - "ㄊㄨ2" - ], - "圖": [ - "ㄊㄨ2" - ], - "圗": [ - "ㄊㄨ2" - ], - "團": [ - "ㄊㄨㄢ2", - "ㄔㄨㄢ2" - ], - "圙": [ - "ㄌㄩㄝ4" - ], - "圚": [ - "ㄏㄨㄟ4" - ], - "圛": [ - "ㄧ4" - ], - "圜": [ - "ㄏㄨㄢ2", - "ㄩㄢ2" - ], - "圝": [ - "ㄌㄨㄢ2" - ], - "圞": [ - "ㄌㄨㄢ2" - ], - "土": [ - "ㄊㄨ3", - "ㄉㄨ4", - "ㄔㄚ3", - "ㄊㄨ2" - ], - "圠": [ - "ㄧㄚ4" - ], - "圡": [ - "ㄊㄨ3" - ], - "圢": [ - "ㄊㄧㄥ3" - ], - "圣": [ - "ㄕㄥ4", - "ㄎㄨ1" - ], - "圤": [ - "ㄆㄨ2" - ], - "圥": [ - "ㄌㄨ4" - ], - "圦": [ - "ㄎㄨㄞ4" - ], - "圧": [ - "ㄧㄚ1" - ], - "在": [ - "ㄗㄞ4" - ], - "圩": [ - "ㄨㄟ2", - "ㄒㄩ1", - "ㄩ2" - ], - "圪": [ - "ㄍㄜ1", - "ㄧ4" - ], - "圫": [ - "ㄩ4", - "ㄊㄨㄛ1", - "ㄓㄨㄣ1" - ], - "圬": [ - "ㄨ1" - ], - "圭": [ - "ㄍㄨㄟ1" - ], - "圮": [ - "ㄆㄧ3" - ], - "圯": [ - "ㄧ2" - ], - "地": [ - "ㄉㄧ4", - "ㄉㄜ5" - ], - "圱": [ - "ㄑㄧㄢ1", - "ㄙㄨ2" - ], - "圲": [ - "ㄑㄧㄢ1" - ], - "圳": [ - "ㄓㄣ4", - "ㄑㄩㄢ3", - "ㄔㄡ2", - "ㄏㄨㄞ2" - ], - "圴": [ - "ㄓㄨㄛ2" - ], - "圵": [ - "ㄉㄤ4" - ], - "圶": [ - "ㄑㄧㄚ4" - ], - "圷": [ - "ㄒㄧㄚ4" - ], - "圸": [ - "ㄕㄢ1" - ], - "圹": [ - "ㄎㄨㄤ4" - ], - "场": [ - "ㄔㄤ3", - "ㄔㄤ2" - ], - "圻": [ - "ㄑㄧ2", - "ㄧㄣ2" - ], - "圼": [ - "ㄋㄧㄝ4" - ], - "圽": [ - "ㄇㄛ4" - ], - "圾": [ - "ㄐㄧ1", - "ㄐㄧ2", - "ㄐㄧㄝ2" - ], - "圿": [ - "ㄐㄧㄚ2" - ], - "址": [ - "ㄓ3" - ], - "坁": [ - "ㄓ3", - "ㄓ4" - ], - "坂": [ - "ㄅㄢ3" - ], - "坃": [ - "ㄒㄩㄣ1" - ], - "坄": [ - "ㄧ4" - ], - "坅": [ - "ㄑㄧㄣ3" - ], - "坆": [ - "ㄇㄟ2", - "ㄈㄣ2" - ], - "均": [ - "ㄐㄩㄣ1", - "ㄩㄣ4" - ], - "坈": [ - "ㄖㄨㄥ3", - "ㄎㄥ1" - ], - "坉": [ - "ㄊㄨㄣ2", - "ㄉㄨㄣ4" - ], - "坊": [ - "ㄈㄤ1", - "ㄈㄤ2" - ], - "坋": [ - "ㄅㄣ4", - "ㄈㄣ4" - ], - "坌": [ - "ㄅㄣ4" - ], - "坍": [ - "ㄊㄢ1" - ], - "坎": [ - "ㄎㄢ3", - "ㄎㄢ4" - ], - "坏": [ - "ㄏㄨㄞ4", - "ㄆㄧ1", - "ㄆㄟ2" - ], - "坐": [ - "ㄗㄨㄛ4" - ], - "坑": [ - "ㄎㄥ1", - "ㄎㄤ4" - ], - "坒": [ - "ㄅㄧ4" - ], - "坓": [ - "ㄐㄧㄥ3", - "ㄒㄧㄥ2" - ], - "坔": [ - "ㄉㄧ4", - "ㄌㄢ4" - ], - "坕": [ - "ㄐㄧㄥ1" - ], - "坖": [ - "ㄐㄧ4" - ], - "块": [ - "ㄎㄨㄞ4", - "ㄩㄝ2" - ], - "坘": [ - "ㄉㄧ3" - ], - "坙": [ - "ㄐㄧㄥ1" - ], - "坚": [ - "ㄐㄧㄢ1" - ], - "坛": [ - "ㄊㄢ2" - ], - "坜": [ - "ㄌㄧ4" - ], - "坝": [ - "ㄅㄚ4" - ], - "坞": [ - "ㄨ4" - ], - "坟": [ - "ㄈㄣ2" - ], - "坠": [ - "ㄓㄨㄟ4" - ], - "坡": [ - "ㄆㄛ1" - ], - "坢": [ - "ㄅㄢ4", - "ㄆㄢ3", - "ㄆㄢ4" - ], - "坣": [ - "ㄊㄤ2" - ], - "坤": [ - "ㄎㄨㄣ1" - ], - "坥": [ - "ㄑㄩ1", - "ㄐㄩ4" - ], - "坦": [ - "ㄊㄢ3" - ], - "坧": [ - "ㄓ1" - ], - "坨": [ - "ㄊㄨㄛ2", - "ㄧ2" - ], - "坩": [ - "ㄍㄢ1" - ], - "坪": [ - "ㄆㄧㄥ2" - ], - "坫": [ - "ㄉㄧㄢ4", - "ㄓㄣ1" - ], - "坬": [ - "ㄍㄨㄚ4", - "ㄨㄚ1" - ], - "坭": [ - "ㄋㄧ2" - ], - "坮": [ - "ㄊㄞ2" - ], - "坯": [ - "ㄆㄧ1", - "ㄏㄨㄞ4" - ], - "坰": [ - "ㄐㄩㄥ1" - ], - "坱": [ - "ㄧㄤ3" - ], - "坲": [ - "ㄈㄛ2" - ], - "坳": [ - "ㄠ4", - "ㄠ1", - "ㄧㄡ3" - ], - "坴": [ - "ㄌㄨ4" - ], - "坵": [ - "ㄑㄧㄡ1" - ], - "坶": [ - "ㄇㄨ3", - "ㄇㄨ4", - "ㄇㄟ2" - ], - "坷": [ - "ㄎㄜ3", - "ㄎㄜ1", - "ㄐㄩㄥ1" - ], - "坸": [ - "ㄍㄡ4" - ], - "坹": [ - "ㄒㄩㄝ4" - ], - "坺": [ - "ㄅㄚ2" - ], - "坻": [ - "ㄔ2", - "ㄉㄧ3" - ], - "坼": [ - "ㄔㄜ4" - ], - "坽": [ - "ㄌㄧㄥ2" - ], - "坾": [ - "ㄓㄨ4" - ], - "坿": [ - "ㄈㄨ4", - "ㄈㄨ2" - ], - "垀": [ - "ㄏㄨ1" - ], - "垁": [ - "ㄓ4" - ], - "垂": [ - "ㄔㄨㄟ2", - "ㄓㄨㄟ4" - ], - "垃": [ - "ㄌㄚ1", - "ㄌㄚ5" - ], - "垄": [ - "ㄌㄨㄥ3" - ], - "垅": [ - "ㄌㄨㄥ3" - ], - "垆": [ - "ㄌㄨ2" - ], - "垇": [ - "ㄠ4" - ], - "垈": [ - "ㄉㄞ4" - ], - "垉": [ - "ㄆㄠ2" - ], - "垊": [ - "ㄇㄧㄣ5" - ], - "型": [ - "ㄒㄧㄥ2" - ], - "垌": [ - "ㄉㄨㄥ4", - "ㄊㄨㄥ2", - "ㄊㄨㄥ3" - ], - "垍": [ - "ㄐㄧ4", - "ㄐㄧ1" - ], - "垎": [ - "ㄏㄜ4" - ], - "垏": [ - "ㄌㄩ4" - ], - "垐": [ - "ㄘ2" - ], - "垑": [ - "ㄔ3" - ], - "垒": [ - "ㄌㄟ3" - ], - "垓": [ - "ㄍㄞ1" - ], - "垔": [ - "ㄧㄣ1" - ], - "垕": [ - "ㄏㄡ4" - ], - "垖": [ - "ㄉㄨㄟ1" - ], - "垗": [ - "ㄓㄠ4" - ], - "垘": [ - "ㄈㄨ2" - ], - "垙": [ - "ㄍㄨㄤ1" - ], - "垚": [ - "ㄧㄠ2" - ], - "垛": [ - "ㄉㄨㄛ3", - "ㄉㄨㄛ4" - ], - "垜": [ - "ㄉㄨㄛ3", - "ㄉㄨㄛ4" - ], - "垝": [ - "ㄍㄨㄟ3" - ], - "垞": [ - "ㄔㄚ2" - ], - "垟": [ - "ㄧㄤ2" - ], - "垠": [ - "ㄧㄣ2", - "ㄎㄣ4" - ], - "垡": [ - "ㄈㄚ2" - ], - "垢": [ - "ㄍㄡ4" - ], - "垣": [ - "ㄩㄢ2" - ], - "垤": [ - "ㄉㄧㄝ2" - ], - "垥": [ - "ㄒㄧㄝ2" - ], - "垦": [ - "ㄎㄣ3", - "ㄧㄣ2" - ], - "垧": [ - "ㄕㄤ3", - "ㄐㄩㄥ1" - ], - "垨": [ - "ㄕㄡ3" - ], - "垩": [ - "ㄜ4", - "ㄕㄥ4" - ], - "垪": [ - "ㄅㄧㄥ4" - ], - "垫": [ - "ㄉㄧㄢ4" - ], - "垬": [ - "ㄏㄨㄥ2" - ], - "垭": [ - "ㄧㄚ1" - ], - "垮": [ - "ㄎㄨㄚ3" - ], - "垯": [ - "ㄉㄚ5" - ], - "垰": [ - "ㄎㄚ3" - ], - "垱": [ - "ㄉㄤ4" - ], - "垲": [ - "ㄎㄞ3" - ], - "垳": [ - "ㄏㄤ2" - ], - "垴": [ - "ㄋㄠ3" - ], - "垵": [ - "ㄢ3", - "ㄢ1" - ], - "垶": [ - "ㄒㄧㄥ1" - ], - "垷": [ - "ㄒㄧㄢ4" - ], - "垸": [ - "ㄩㄢ4", - "ㄏㄨㄢ2" - ], - "垹": [ - "ㄅㄤ1" - ], - "垺": [ - "ㄈㄨ1", - "ㄈㄨ2", - "ㄈㄡ2", - "ㄆㄟ1", - "ㄆㄡ2" - ], - "垻": [ - "ㄅㄚ4", - "ㄅㄟ4" - ], - "垼": [ - "ㄧ4" - ], - "垽": [ - "ㄧㄣ4" - ], - "垾": [ - "ㄏㄢ4", - "ㄢ4" - ], - "垿": [ - "ㄒㄩ4" - ], - "埀": [ - "ㄔㄨㄟ2" - ], - "埁": [ - "ㄑㄧㄣ2" - ], - "埂": [ - "ㄍㄥ3" - ], - "埃": [ - "ㄞ1", - "ㄓ4" - ], - "埄": [ - "ㄅㄥ3", - "ㄈㄥ1" - ], - "埅": [ - "ㄈㄤ2", - "ㄈㄤ1", - "ㄉㄧ4" - ], - "埆": [ - "ㄑㄩㄝ4", - "ㄐㄩㄝ2" - ], - "埇": [ - "ㄩㄥ3" - ], - "埈": [ - "ㄐㄩㄣ4" - ], - "埉": [ - "ㄐㄧㄚ1", - "ㄒㄧㄚ2" - ], - "埊": [ - "ㄉㄧ4" - ], - "埋": [ - "ㄇㄞ2", - "ㄇㄢ2" - ], - "埌": [ - "ㄌㄤ4" - ], - "埍": [ - "ㄐㄩㄢ3" - ], - "城": [ - "ㄔㄥ2" - ], - "埏": [ - "ㄕㄢ1", - "ㄧㄢ2" - ], - "埐": [ - "ㄐㄧㄣ1", - "ㄑㄧㄣ2" - ], - "埑": [ - "ㄓㄜ2" - ], - "埒": [ - "ㄌㄧㄝ4" - ], - "埓": [ - "ㄌㄧㄝ4" - ], - "埔": [ - "ㄆㄨ3", - "ㄅㄨ4" - ], - "埕": [ - "ㄔㄥ2" - ], - "埖": [ - "ㄏㄨㄚ1" - ], - "埗": [ - "ㄅㄨ4" - ], - "埘": [ - "ㄕ2" - ], - "埙": [ - "ㄒㄩㄣ1" - ], - "埚": [ - "ㄍㄨㄛ1" - ], - "埛": [ - "ㄐㄩㄥ1" - ], - "埜": [ - "ㄧㄝ3" - ], - "埝": [ - "ㄋㄧㄢ4", - "ㄉㄧㄢ4", - "ㄋㄧㄝ4" - ], - "埞": [ - "ㄉㄧ1" - ], - "域": [ - "ㄩ4" - ], - "埠": [ - "ㄅㄨ4" - ], - "埡": [ - "ㄧㄚ1", - "ㄜ4", - "ㄨ3", - "ㄧㄚ4" - ], - "埢": [ - "ㄑㄩㄢ2", - "ㄐㄩㄢ3" - ], - "埣": [ - "ㄙㄨㄟ4", - "ㄙㄨ4" - ], - "埤": [ - "ㄆㄧ2", - "ㄆㄧ4", - "ㄅㄧ4", - "ㄅㄟ1" - ], - "埥": [ - "ㄑㄧㄥ1", - "ㄓㄥ1" - ], - "埦": [ - "ㄨㄢ3", - "ㄨㄢ1" - ], - "埧": [ - "ㄐㄩ4" - ], - "埨": [ - "ㄌㄨㄣ3", - "ㄌㄨㄣ4" - ], - "埩": [ - "ㄓㄥ1", - "ㄔㄥ2" - ], - "埪": [ - "ㄎㄨㄥ1" - ], - "埫": [ - "ㄔㄨㄥ3", - "ㄊㄤ3", - "ㄕㄤ3" - ], - "埬": [ - "ㄉㄨㄥ1" - ], - "埭": [ - "ㄉㄞ4" - ], - "埮": [ - "ㄊㄢ4", - "ㄊㄢ2" - ], - "埯": [ - "ㄢ3", - "ㄧㄢ3" - ], - "埰": [ - "ㄘㄞ4", - "ㄘㄞ3" - ], - "埱": [ - "ㄔㄨ4", - "ㄊㄡ4" - ], - "埲": [ - "ㄅㄥ3", - "ㄅㄤ4" - ], - "埳": [ - "ㄎㄢ3", - "ㄒㄧㄢ4" - ], - "埴": [ - "ㄓ2" - ], - "埵": [ - "ㄉㄨㄛ3" - ], - "埶": [ - "ㄧ4", - "ㄕ4" - ], - "執": [ - "ㄓ2" - ], - "埸": [ - "ㄧ4" - ], - "培": [ - "ㄆㄟ2", - "ㄆㄡ3", - "ㄆㄧ1" - ], - "基": [ - "ㄐㄧ1" - ], - "埻": [ - "ㄓㄨㄣ3", - "ㄉㄨㄟ1", - "ㄍㄨㄛ2" - ], - "埼": [ - "ㄑㄧ2" - ], - "埽": [ - "ㄙㄠ4", - "ㄙㄠ3" - ], - "埾": [ - "ㄐㄩ4" - ], - "埿": [ - "ㄋㄧ2", - "ㄋㄧ4", - "ㄅㄢ4" - ], - "堀": [ - "ㄎㄨ1" - ], - "堁": [ - "ㄎㄜ4" - ], - "堂": [ - "ㄊㄤ2" - ], - "堃": [ - "ㄎㄨㄣ1" - ], - "堄": [ - "ㄋㄧ4" - ], - "堅": [ - "ㄐㄧㄢ1" - ], - "堆": [ - "ㄉㄨㄟ1", - "ㄗㄨㄟ1" - ], - "堇": [ - "ㄐㄧㄣ3", - "ㄑㄧㄣ2", - "ㄐㄧㄣ4" - ], - "堈": [ - "ㄍㄤ1" - ], - "堉": [ - "ㄩ4" - ], - "堊": [ - "ㄜ4", - "ㄧㄚ4" - ], - "堋": [ - "ㄆㄥ2", - "ㄅㄥ4", - "ㄆㄥ1", - "ㄆㄧㄥ1" - ], - "堌": [ - "ㄍㄨ4" - ], - "堍": [ - "ㄊㄨ4" - ], - "堎": [ - "ㄌㄥ4" - ], - "堏": [ - "ㄈㄤ5" - ], - "堐": [ - "ㄧㄚ2" - ], - "堑": [ - "ㄑㄧㄢ4" - ], - "堒": [ - "ㄎㄨㄣ1" - ], - "堓": [ - "ㄢ4" - ], - "堔": [ - "ㄕㄣ1" - ], - "堕": [ - "ㄉㄨㄛ4", - "ㄏㄨㄟ1" - ], - "堖": [ - "ㄋㄠ3" - ], - "堗": [ - "ㄊㄨ1" - ], - "堘": [ - "ㄔㄥ2" - ], - "堙": [ - "ㄧㄣ1" - ], - "堚": [ - "ㄏㄨㄣ2" - ], - "堛": [ - "ㄅㄧ4" - ], - "堜": [ - "ㄌㄧㄢ4" - ], - "堝": [ - "ㄍㄨㄛ1", - "ㄨㄛ1" - ], - "堞": [ - "ㄉㄧㄝ2" - ], - "堟": [ - "ㄓㄨㄢ4" - ], - "堠": [ - "ㄏㄡ4" - ], - "堡": [ - "ㄅㄠ3", - "ㄅㄨ3", - "ㄆㄨ4" - ], - "堢": [ - "ㄅㄠ3" - ], - "堣": [ - "ㄩ2" - ], - "堤": [ - "ㄉㄧ1", - "ㄊㄧ2", - "ㄉㄧ3", - "ㄕ2", - "ㄨㄟ2" - ], - "堥": [ - "ㄇㄠ2", - "ㄇㄡ2", - "ㄨ3" - ], - "堦": [ - "ㄐㄧㄝ1" - ], - "堧": [ - "ㄖㄨㄢ2", - "ㄋㄨㄛ4" - ], - "堨": [ - "ㄧㄝ4", - "ㄜ4", - "ㄞ4" - ], - "堩": [ - "ㄍㄥ4" - ], - "堪": [ - "ㄎㄢ1", - "ㄔㄣ3" - ], - "堫": [ - "ㄗㄨㄥ1" - ], - "堬": [ - "ㄩ2" - ], - "堭": [ - "ㄏㄨㄤ2" - ], - "堮": [ - "ㄜ4" - ], - "堯": [ - "ㄧㄠ2" - ], - "堰": [ - "ㄧㄢ4" - ], - "報": [ - "ㄅㄠ4", - "ㄈㄨ4" - ], - "堲": [ - "ㄘ2", - "ㄐㄧ2" - ], - "堳": [ - "ㄇㄟ2" - ], - "場": [ - "ㄔㄤ3", - "ㄔㄤ2", - "ㄕㄤ1", - "ㄉㄤ4" - ], - "堵": [ - "ㄉㄨ3", - "ㄓㄜ3", - "ㄉㄨ1" - ], - "堶": [ - "ㄊㄨㄛ2" - ], - "堷": [ - "ㄧㄣ4", - "ㄆㄡ3" - ], - "堸": [ - "ㄈㄥ2" - ], - "堹": [ - "ㄓㄨㄥ4" - ], - "堺": [ - "ㄐㄧㄝ4" - ], - "堻": [ - "ㄐㄧㄣ1" - ], - "堼": [ - "ㄏㄥ4" - ], - "堽": [ - "ㄍㄤ1" - ], - "堾": [ - "ㄔㄨㄣ1" - ], - "堿": [ - "ㄐㄧㄢ3", - "ㄎㄢ3", - "ㄒㄧㄢ2" - ], - "塀": [ - "ㄆㄧㄥ2" - ], - "塁": [ - "ㄌㄟ3" - ], - "塂": [ - "ㄒㄧㄤ4", - "ㄐㄧㄤ3" - ], - "塃": [ - "ㄏㄨㄤ1" - ], - "塄": [ - "ㄌㄥ2" - ], - "塅": [ - "ㄉㄨㄢ4" - ], - "塆": [ - "ㄨㄢ1" - ], - "塇": [ - "ㄒㄩㄢ1" - ], - "塈": [ - "ㄐㄧ4", - "ㄒㄧ4" - ], - "塉": [ - "ㄐㄧ2" - ], - "塊": [ - "ㄎㄨㄞ4" - ], - "塋": [ - "ㄧㄥ2" - ], - "塌": [ - "ㄊㄚ1", - "ㄉㄚ1" - ], - "塍": [ - "ㄔㄥ2" - ], - "塎": [ - "ㄩㄥ3" - ], - "塏": [ - "ㄎㄞ3" - ], - "塐": [ - "ㄙㄨ4" - ], - "塑": [ - "ㄙㄨ4" - ], - "塒": [ - "ㄕ2" - ], - "塓": [ - "ㄇㄧ4" - ], - "塔": [ - "ㄊㄚ3", - "ㄉㄚ1", - "ㄉㄚ5" - ], - "塕": [ - "ㄨㄥ3" - ], - "塖": [ - "ㄔㄥ2" - ], - "塗": [ - "ㄊㄨ2", - "ㄉㄨ4" - ], - "塘": [ - "ㄊㄤ2" - ], - "塙": [ - "ㄑㄩㄝ4", - "ㄑㄧㄠ1" - ], - "塚": [ - "ㄓㄨㄥ3" - ], - "塛": [ - "ㄌㄧ4" - ], - "塜": [ - "ㄓㄨㄥ3", - "ㄆㄥ2" - ], - "塝": [ - "ㄅㄤ4" - ], - "塞": [ - "ㄙㄞ1", - "ㄙㄞ4", - "ㄙㄜ4" - ], - "塟": [ - "ㄗㄤ4" - ], - "塠": [ - "ㄉㄨㄟ1" - ], - "塡": [ - "ㄊㄧㄢ2" - ], - "塢": [ - "ㄨ4", - "ㄨ3" - ], - "塣": [ - "ㄓㄥ4" - ], - "塤": [ - "ㄒㄩㄣ1" - ], - "塥": [ - "ㄍㄜ2" - ], - "塦": [ - "ㄓㄣ4" - ], - "塧": [ - "ㄞ4" - ], - "塨": [ - "ㄍㄨㄥ1" - ], - "塩": [ - "ㄧㄢ2" - ], - "塪": [ - "ㄎㄢ3" - ], - "填": [ - "ㄊㄧㄢ2", - "ㄊㄧㄢ3", - "ㄔㄣ2", - "ㄓㄣ4" - ], - "塬": [ - "ㄩㄢ2" - ], - "塭": [ - "ㄨㄣ1" - ], - "塮": [ - "ㄒㄧㄝ4" - ], - "塯": [ - "ㄌㄧㄡ4" - ], - "塰": [ - "ㄏㄞ3" - ], - "塱": [ - "ㄌㄤ3" - ], - "塲": [ - "ㄔㄤ2", - "ㄕㄤ1", - "ㄔㄤ3" - ], - "塳": [ - "ㄆㄥ2" - ], - "塴": [ - "ㄅㄥ4" - ], - "塵": [ - "ㄔㄣ2" - ], - "塶": [ - "ㄌㄨ4" - ], - "塷": [ - "ㄌㄨ3" - ], - "塸": [ - "ㄡ1" - ], - "塹": [ - "ㄑㄧㄢ4", - "ㄐㄧㄢ4" - ], - "塺": [ - "ㄇㄟ2" - ], - "塻": [ - "ㄇㄛ4" - ], - "塼": [ - "ㄓㄨㄢ1", - "ㄊㄨㄢ2" - ], - "塽": [ - "ㄕㄨㄤ3" - ], - "塾": [ - "ㄕㄨ2" - ], - "塿": [ - "ㄌㄡ3" - ], - "墀": [ - "ㄔ2" - ], - "墁": [ - "ㄇㄢ4" - ], - "墂": [ - "ㄅㄧㄠ1" - ], - "境": [ - "ㄐㄧㄥ4" - ], - "墄": [ - "ㄘㄜ4" - ], - "墅": [ - "ㄕㄨ4", - "ㄧㄝ3" - ], - "墆": [ - "ㄓ4", - "ㄉㄧ4" - ], - "墇": [ - "ㄓㄤ4" - ], - "墈": [ - "ㄎㄢ4" - ], - "墉": [ - "ㄩㄥ1" - ], - "墊": [ - "ㄉㄧㄢ4" - ], - "墋": [ - "ㄔㄣ3" - ], - "墌": [ - "ㄓ2", - "ㄓㄨㄛ2" - ], - "墍": [ - "ㄒㄧ4" - ], - "墎": [ - "ㄍㄨㄛ1" - ], - "墏": [ - "ㄑㄧㄤ3" - ], - "墐": [ - "ㄐㄧㄣ4", - "ㄑㄧㄣ2" - ], - "墑": [ - "ㄉㄧ4" - ], - "墒": [ - "ㄕㄤ1" - ], - "墓": [ - "ㄇㄨ4" - ], - "墔": [ - "ㄘㄨㄟ1" - ], - "墕": [ - "ㄧㄢ4", - "ㄧㄢ1" - ], - "墖": [ - "ㄊㄚ3" - ], - "増": [ - "ㄗㄥ1" - ], - "墘": [ - "ㄑㄧㄢ2" - ], - "墙": [ - "ㄑㄧㄤ2" - ], - "墚": [ - "ㄌㄧㄤ2" - ], - "墛": [ - "ㄨㄟ4" - ], - "墜": [ - "ㄓㄨㄟ4" - ], - "墝": [ - "ㄑㄧㄠ1", - "ㄑㄧㄠ4" - ], - "增": [ - "ㄗㄥ1", - "ㄗㄥ4", - "ㄘㄥ2" - ], - "墟": [ - "ㄒㄩ1" - ], - "墠": [ - "ㄕㄢ4", - "ㄔㄢ3" - ], - "墡": [ - "ㄕㄢ4" - ], - "墢": [ - "ㄅㄚ2", - "ㄈㄟ4" - ], - "墣": [ - "ㄆㄨ2" - ], - "墤": [ - "ㄎㄨㄞ4", - "ㄊㄨㄟ2" - ], - "墥": [ - "ㄉㄨㄥ3", - "ㄊㄨㄢ3" - ], - "墦": [ - "ㄈㄢ2", - "ㄈㄢ1" - ], - "墧": [ - "ㄑㄩㄝ4", - "ㄑㄧㄠ2" - ], - "墨": [ - "ㄇㄛ4", - "ㄇㄟ4" - ], - "墩": [ - "ㄉㄨㄣ1" - ], - "墪": [ - "ㄉㄨㄣ1" - ], - "墫": [ - "ㄗㄨㄣ1", - "ㄘㄨㄣ1" - ], - "墬": [ - "ㄉㄧ4" - ], - "墭": [ - "ㄕㄥ4" - ], - "墮": [ - "ㄉㄨㄛ4", - "ㄏㄨㄟ1", - "ㄏㄨㄟ4" - ], - "墯": [ - "ㄉㄨㄛ4" - ], - "墰": [ - "ㄊㄢ2" - ], - "墱": [ - "ㄉㄥ4", - "ㄉㄥ1" - ], - "墲": [ - "ㄇㄨ2", - "ㄨ2" - ], - "墳": [ - "ㄈㄣ2", - "ㄈㄣ4" - ], - "墴": [ - "ㄏㄨㄤ2" - ], - "墵": [ - "ㄊㄢ2" - ], - "墶": [ - "ㄉㄚ5" - ], - "墷": [ - "ㄧㄝ4" - ], - "墸": [ - "ㄓㄨ4" - ], - "墹": [ - "ㄐㄧㄢ4" - ], - "墺": [ - "ㄠ4" - ], - "墻": [ - "ㄑㄧㄤ2" - ], - "墼": [ - "ㄐㄧ1" - ], - "墽": [ - "ㄑㄧㄠ1", - "ㄑㄧㄠ4", - "ㄠ2" - ], - "墾": [ - "ㄎㄣ3" - ], - "墿": [ - "ㄧ4", - "ㄊㄨ2" - ], - "壀": [ - "ㄆㄧ2" - ], - "壁": [ - "ㄅㄧ4" - ], - "壂": [ - "ㄉㄧㄢ4" - ], - "壃": [ - "ㄐㄧㄤ1" - ], - "壄": [ - "ㄧㄝ3" - ], - "壅": [ - "ㄩㄥ1", - "ㄨㄥ4" - ], - "壆": [ - "ㄒㄩㄝ2", - "ㄐㄩㄝ2", - "ㄅㄛ2" - ], - "壇": [ - "ㄊㄢ2", - "ㄕㄢ4", - "ㄉㄢ4", - "ㄊㄢ3" - ], - "壈": [ - "ㄌㄢ3" - ], - "壉": [ - "ㄐㄩ4" - ], - "壊": [ - "ㄏㄨㄞ4" - ], - "壋": [ - "ㄉㄤ4" - ], - "壌": [ - "ㄖㄤ3" - ], - "壍": [ - "ㄑㄧㄢ4" - ], - "壎": [ - "ㄒㄩㄣ1", - "ㄒㄩㄣ4" - ], - "壏": [ - "ㄒㄧㄢ4", - "ㄌㄢ4" - ], - "壐": [ - "ㄒㄧ3" - ], - "壑": [ - "ㄏㄜ4", - "ㄏㄨㄛ4" - ], - "壒": [ - "ㄞ4" - ], - "壓": [ - "ㄧㄚ1", - "ㄧㄚ4" - ], - "壔": [ - "ㄉㄠ3" - ], - "壕": [ - "ㄏㄠ2" - ], - "壖": [ - "ㄖㄨㄢ2" - ], - "壗": [ - "ㄐㄧㄣ4" - ], - "壘": [ - "ㄌㄟ3", - "ㄌㄟ2", - "ㄌㄩ4" - ], - "壙": [ - "ㄎㄨㄤ4", - "ㄎㄨㄤ3" - ], - "壚": [ - "ㄌㄨ2" - ], - "壛": [ - "ㄧㄢ2" - ], - "壜": [ - "ㄊㄢ2" - ], - "壝": [ - "ㄨㄟ3" - ], - "壞": [ - "ㄏㄨㄞ4", - "ㄏㄨㄟ4", - "ㄏㄨㄞ2" - ], - "壟": [ - "ㄌㄨㄥ3" - ], - "壠": [ - "ㄌㄨㄥ3" - ], - "壡": [ - "ㄖㄨㄟ4" - ], - "壢": [ - "ㄌㄧ4" - ], - "壣": [ - "ㄌㄧㄣ2" - ], - "壤": [ - "ㄖㄤ3" - ], - "壥": [ - "ㄔㄢ2" - ], - "壦": [ - "ㄒㄩㄣ1" - ], - "壧": [ - "ㄧㄢ2" - ], - "壨": [ - "ㄌㄟ2" - ], - "壩": [ - "ㄅㄚ4" - ], - "壪": [ - "ㄨㄢ1" - ], - "士": [ - "ㄕ4" - ], - "壬": [ - "ㄖㄣ2" - ], - "壭": [ - "ㄙㄢ5" - ], - "壮": [ - "ㄓㄨㄤ4" - ], - "壯": [ - "ㄓㄨㄤ4", - "ㄓㄨㄤ1" - ], - "声": [ - "ㄕㄥ1", - "ㄑㄧㄥ4" - ], - "壱": [ - "ㄧ1" - ], - "売": [ - "ㄇㄞ4" - ], - "壳": [ - "ㄎㄜ2", - "ㄑㄧㄠ4" - ], - "壴": [ - "ㄓㄨ4" - ], - "壵": [ - "ㄓㄨㄤ4" - ], - "壶": [ - "ㄏㄨ2" - ], - "壷": [ - "ㄏㄨ2" - ], - "壸": [ - "ㄎㄨㄣ3" - ], - "壹": [ - "ㄧ1", - "ㄧㄣ1" - ], - "壺": [ - "ㄏㄨ2" - ], - "壻": [ - "ㄒㄩ4" - ], - "壼": [ - "ㄎㄨㄣ3" - ], - "壽": [ - "ㄕㄡ4" - ], - "壾": [ - "ㄇㄤ3" - ], - "壿": [ - "ㄗㄨㄣ1" - ], - "夀": [ - "ㄕㄡ4" - ], - "夁": [ - "ㄧ1" - ], - "夂": [ - "ㄓ3", - "ㄓㄨㄥ1" - ], - "夃": [ - "ㄍㄨ3", - "ㄧㄥ2" - ], - "处": [ - "ㄔㄨ4", - "ㄔㄨ3" - ], - "夅": [ - "ㄐㄧㄤ4" - ], - "夆": [ - "ㄈㄥ2", - "ㄆㄤ2" - ], - "备": [ - "ㄅㄟ4" - ], - "夈": [ - "ㄓㄞ1" - ], - "変": [ - "ㄅㄧㄢ4" - ], - "夊": [ - "ㄙㄨㄟ1" - ], - "夋": [ - "ㄑㄩㄣ1" - ], - "夌": [ - "ㄌㄧㄥ2" - ], - "复": [ - "ㄈㄨ4" - ], - "夎": [ - "ㄘㄨㄛ4" - ], - "夏": [ - "ㄒㄧㄚ4", - "ㄐㄧㄚ3" - ], - "夐": [ - "ㄒㄩㄥ4", - "ㄒㄩㄢ4" - ], - "夑": [ - "ㄒㄧㄝ4" - ], - "夒": [ - "ㄋㄠ2" - ], - "夓": [ - "ㄒㄧㄚ4" - ], - "夔": [ - "ㄎㄨㄟ2" - ], - "夕": [ - "ㄒㄧ1", - "ㄧ4" - ], - "外": [ - "ㄨㄞ4" - ], - "夗": [ - "ㄩㄢ4", - "ㄨㄢ3", - "ㄨㄢ1", - "ㄩㄢ1" - ], - "夘": [ - "ㄇㄠ3", - "ㄨㄢ1" - ], - "夙": [ - "ㄙㄨ4" - ], - "多": [ - "ㄉㄨㄛ1" - ], - "夛": [ - "ㄉㄨㄛ1" - ], - "夜": [ - "ㄧㄝ4" - ], - "夝": [ - "ㄑㄧㄥ2" - ], - "夞": [ - "ㄨㄞ4" - ], - "够": [ - "ㄍㄡ4" - ], - "夠": [ - "ㄍㄡ4" - ], - "夡": [ - "ㄑㄧ4" - ], - "夢": [ - "ㄇㄥ4", - "ㄇㄥ2" - ], - "夣": [ - "ㄇㄥ4" - ], - "夤": [ - "ㄧㄣ2" - ], - "夥": [ - "ㄏㄨㄛ3" - ], - "夦": [ - "ㄔㄣ3" - ], - "大": [ - "ㄉㄚ4", - "ㄉㄞ4", - "ㄊㄞ4" - ], - "夨": [ - "ㄗㄜ4" - ], - "天": [ - "ㄊㄧㄢ1" - ], - "太": [ - "ㄊㄞ4", - "ㄊㄚ1" - ], - "夫": [ - "ㄈㄨ1", - "ㄈㄨ2" - ], - "夬": [ - "ㄍㄨㄞ4", - "ㄐㄩㄝ2" - ], - "夭": [ - "ㄧㄠ1", - "ㄨㄛ4", - "ㄨㄞ1" - ], - "央": [ - "ㄧㄤ1", - "ㄧㄥ1" - ], - "夯": [ - "ㄏㄤ1", - "ㄅㄣ4" - ], - "夰": [ - "ㄍㄠ3" - ], - "失": [ - "ㄕ1", - "ㄧ4" - ], - "夲": [ - "ㄊㄠ1", - "ㄅㄣ3" - ], - "夳": [ - "ㄊㄞ4" - ], - "头": [ - "ㄊㄡ2", - "ㄊㄡ5" - ], - "夵": [ - "ㄧㄢ3", - "ㄊㄠ1" - ], - "夶": [ - "ㄅㄧ3" - ], - "夷": [ - "ㄧ2" - ], - "夸": [ - "ㄎㄨㄚ1", - "ㄎㄨㄚ4", - "ㄎㄨㄚ3" - ], - "夹": [ - "ㄐㄧㄚ1", - "ㄍㄚ1", - "ㄐㄧㄚ2" - ], - "夺": [ - "ㄉㄨㄛ2" - ], - "夻": [ - "ㄏㄨㄚ4" - ], - "夼": [ - "ㄎㄨㄤ3" - ], - "夽": [ - "ㄩㄣ3" - ], - "夾": [ - "ㄐㄧㄚ1", - "ㄐㄧㄚ2", - "ㄒㄧㄝ2", - "ㄒㄧㄚ2", - "ㄍㄚ1" - ], - "夿": [ - "ㄅㄚ1" - ], - "奀": [ - "ㄣ1" - ], - "奁": [ - "ㄌㄧㄢ2" - ], - "奂": [ - "ㄏㄨㄢ4" - ], - "奃": [ - "ㄉㄧ1", - "ㄊㄧ4" - ], - "奄": [ - "ㄧㄢ3", - "ㄧㄢ1" - ], - "奅": [ - "ㄆㄠ4" - ], - "奆": [ - "ㄐㄩㄢ4" - ], - "奇": [ - "ㄑㄧ2", - "ㄐㄧ1", - "ㄞ3", - "ㄧ3" - ], - "奈": [ - "ㄋㄞ4" - ], - "奉": [ - "ㄈㄥ4" - ], - "奊": [ - "ㄒㄧㄝ2", - "ㄌㄧㄝ4", - "ㄒㄧ3", - "ㄆㄧ2" - ], - "奋": [ - "ㄈㄣ4", - "ㄎㄤ3" - ], - "奌": [ - "ㄉㄧㄢ3" - ], - "奍": [ - "ㄑㄩㄢ1" - ], - "奎": [ - "ㄎㄨㄟ2", - "ㄎㄨㄟ3" - ], - "奏": [ - "ㄗㄡ4", - "ㄘㄡ4" - ], - "奐": [ - "ㄏㄨㄢ4" - ], - "契": [ - "ㄑㄧ4", - "ㄒㄧㄝ4", - "ㄑㄧㄝ4", - "ㄐㄧㄝ2" - ], - "奒": [ - "ㄎㄞ1" - ], - "奓": [ - "ㄓㄚ1", - "ㄕㄜ1", - "ㄔ3", - "ㄓㄚ4" - ], - "奔": [ - "ㄅㄣ1", - "ㄅㄣ4", - "ㄈㄣ4" - ], - "奕": [ - "ㄧ4" - ], - "奖": [ - "ㄐㄧㄤ3" - ], - "套": [ - "ㄊㄠ4", - "ㄊㄠ3" - ], - "奘": [ - "ㄗㄤ4", - "ㄓㄨㄤ3" - ], - "奙": [ - "ㄅㄣ3" - ], - "奚": [ - "ㄒㄧ1" - ], - "奛": [ - "ㄏㄨㄤ3" - ], - "奜": [ - "ㄈㄟ3", - "ㄈㄟ1" - ], - "奝": [ - "ㄉㄧㄠ1" - ], - "奞": [ - "ㄒㄩㄣ4" - ], - "奟": [ - "ㄅㄥ1", - "ㄎㄥ1" - ], - "奠": [ - "ㄉㄧㄢ4", - "ㄊㄧㄥ2", - "ㄉㄧㄥ4", - "ㄓㄥ4", - "ㄗㄨㄣ1" - ], - "奡": [ - "ㄠ4", - "ㄒㄧㄠ4" - ], - "奢": [ - "ㄕㄜ1" - ], - "奣": [ - "ㄨㄥ3" - ], - "奤": [ - "ㄏㄚ3", - "ㄆㄛ4", - "ㄊㄞ3" - ], - "奥": [ - "ㄠ4", - "ㄩ4", - "ㄧㄡ1" - ], - "奦": [ - "ㄨ4" - ], - "奧": [ - "ㄠ4" - ], - "奨": [ - "ㄐㄧㄤ3" - ], - "奩": [ - "ㄌㄧㄢ2" - ], - "奪": [ - "ㄉㄨㄛ2", - "ㄉㄨㄟ4" - ], - "奫": [ - "ㄩㄣ1" - ], - "奬": [ - "ㄐㄧㄤ3" - ], - "奭": [ - "ㄕ4" - ], - "奮": [ - "ㄈㄣ4" - ], - "奯": [ - "ㄏㄨㄛ4" - ], - "奰": [ - "ㄅㄧ4" - ], - "奱": [ - "ㄌㄨㄢ2" - ], - "奲": [ - "ㄉㄨㄛ3", - "ㄔㄜ3" - ], - "女": [ - "ㄋㄩ3", - "ㄋㄩ4", - "ㄖㄨ3" - ], - "奴": [ - "ㄋㄨ2" - ], - "奵": [ - "ㄉㄧㄥ3", - "ㄉㄧㄥ1", - "ㄊㄧㄢ3" - ], - "奶": [ - "ㄋㄞ3" - ], - "奷": [ - "ㄑㄧㄢ1" - ], - "奸": [ - "ㄐㄧㄢ1", - "ㄍㄢ1" - ], - "她": [ - "ㄊㄚ1", - "ㄐㄧㄝ3", - "ㄔ2" - ], - "奺": [ - "ㄐㄧㄡ3" - ], - "奻": [ - "ㄋㄨㄢ2" - ], - "奼": [ - "ㄔㄚ4" - ], - "好": [ - "ㄏㄠ3", - "ㄏㄠ4" - ], - "奾": [ - "ㄒㄧㄢ1" - ], - "奿": [ - "ㄈㄢ4" - ], - "妀": [ - "ㄐㄧ3" - ], - "妁": [ - "ㄕㄨㄛ4", - "ㄩㄝ1" - ], - "如": [ - "ㄖㄨ2" - ], - "妃": [ - "ㄈㄟ1", - "ㄆㄟ4" - ], - "妄": [ - "ㄨㄤ4", - "ㄨㄤ2" - ], - "妅": [ - "ㄏㄨㄥ2" - ], - "妆": [ - "ㄓㄨㄤ1" - ], - "妇": [ - "ㄈㄨ4" - ], - "妈": [ - "ㄇㄚ1" - ], - "妉": [ - "ㄉㄢ1" - ], - "妊": [ - "ㄖㄣ4", - "ㄖㄣ2" - ], - "妋": [ - "ㄈㄨ1", - "ㄧㄡ1" - ], - "妌": [ - "ㄐㄧㄥ4" - ], - "妍": [ - "ㄧㄢ2" - ], - "妎": [ - "ㄏㄞ4", - "ㄐㄧㄝ4" - ], - "妏": [ - "ㄨㄣ4" - ], - "妐": [ - "ㄓㄨㄥ1" - ], - "妑": [ - "ㄆㄚ1" - ], - "妒": [ - "ㄉㄨ4" - ], - "妓": [ - "ㄐㄧ4", - "ㄐㄧ1" - ], - "妔": [ - "ㄎㄥ1", - "ㄏㄤ2" - ], - "妕": [ - "ㄓㄨㄥ4" - ], - "妖": [ - "ㄧㄠ1", - "ㄐㄧㄠ3" - ], - "妗": [ - "ㄐㄧㄣ4", - "ㄒㄧㄢ1" - ], - "妘": [ - "ㄩㄣ2" - ], - "妙": [ - "ㄇㄧㄠ4", - "ㄇㄧㄠ3" - ], - "妚": [ - "ㄈㄡ3", - "ㄆㄟ1", - "ㄆㄧ1" - ], - "妛": [ - "ㄔ1" - ], - "妜": [ - "ㄩㄝ4", - "ㄐㄩㄝ2" - ], - "妝": [ - "ㄓㄨㄤ1" - ], - "妞": [ - "ㄋㄧㄡ1", - "ㄏㄠ4" - ], - "妟": [ - "ㄧㄢ4" - ], - "妠": [ - "ㄋㄚ4", - "ㄋㄢ4" - ], - "妡": [ - "ㄒㄧㄣ1" - ], - "妢": [ - "ㄈㄣ2" - ], - "妣": [ - "ㄅㄧ3" - ], - "妤": [ - "ㄩ2" - ], - "妥": [ - "ㄊㄨㄛ3" - ], - "妦": [ - "ㄈㄥ1" - ], - "妧": [ - "ㄨㄢ4", - "ㄩㄢ2" - ], - "妨": [ - "ㄈㄤ2", - "ㄈㄤ1" - ], - "妩": [ - "ㄨ3" - ], - "妪": [ - "ㄩ4" - ], - "妫": [ - "ㄍㄨㄟ1" - ], - "妬": [ - "ㄉㄨ4" - ], - "妭": [ - "ㄅㄚ2", - "ㄅㄛ1" - ], - "妮": [ - "ㄋㄧ1", - "ㄋㄧ2" - ], - "妯": [ - "ㄓㄡ2", - "ㄔㄡ1" - ], - "妰": [ - "ㄓㄨㄛ2" - ], - "妱": [ - "ㄓㄠ1" - ], - "妲": [ - "ㄉㄚ2" - ], - "妳": [ - "ㄋㄧ3", - "ㄋㄞ3" - ], - "妴": [ - "ㄩㄢ4" - ], - "妵": [ - "ㄊㄡ3" - ], - "妶": [ - "ㄒㄧㄢ2", - "ㄒㄩㄢ2", - "ㄒㄩ4" - ], - "妷": [ - "ㄓ2", - "ㄧ4" - ], - "妸": [ - "ㄜ1", - "ㄜ3" - ], - "妹": [ - "ㄇㄟ4" - ], - "妺": [ - "ㄇㄛ4" - ], - "妻": [ - "ㄑㄧ1", - "ㄑㄧ4" - ], - "妼": [ - "ㄅㄧ4" - ], - "妽": [ - "ㄕㄣ1" - ], - "妾": [ - "ㄑㄧㄝ4" - ], - "妿": [ - "ㄜ1" - ], - "姀": [ - "ㄏㄜ2" - ], - "姁": [ - "ㄒㄩ3", - "ㄒㄩ1" - ], - "姂": [ - "ㄈㄚ2" - ], - "姃": [ - "ㄓㄥ1" - ], - "姄": [ - "ㄇㄧㄣ2" - ], - "姅": [ - "ㄅㄢ4" - ], - "姆": [ - "ㄇㄨ3" - ], - "姇": [ - "ㄈㄨ1", - "ㄈㄨ2" - ], - "姈": [ - "ㄌㄧㄥ2" - ], - "姉": [ - "ㄗ3" - ], - "姊": [ - "ㄗ3" - ], - "始": [ - "ㄕ3" - ], - "姌": [ - "ㄖㄢ3" - ], - "姍": [ - "ㄕㄢ1", - "ㄒㄧㄢ1", - "ㄆㄢ1" - ], - "姎": [ - "ㄧㄤ1" - ], - "姏": [ - "ㄇㄢ2" - ], - "姐": [ - "ㄐㄧㄝ3", - "ㄐㄩ4", - "ㄒㄩ4", - "ㄗㄨ1" - ], - "姑": [ - "ㄍㄨ1" - ], - "姒": [ - "ㄙ4" - ], - "姓": [ - "ㄒㄧㄥ4", - "ㄕㄥ1" - ], - "委": [ - "ㄨㄟ3", - "ㄨㄟ1", - "ㄨㄟ4" - ], - "姕": [ - "ㄗ1", - "ㄘ3", - "ㄘ1" - ], - "姖": [ - "ㄐㄩ4" - ], - "姗": [ - "ㄕㄢ1" - ], - "姘": [ - "ㄆㄧㄣ1", - "ㄆㄧㄣ2" - ], - "姙": [ - "ㄖㄣ4" - ], - "姚": [ - "ㄧㄠ2", - "ㄊㄧㄠ4", - "ㄊㄠ2", - "ㄧㄠ4" - ], - "姛": [ - "ㄉㄨㄥ4" - ], - "姜": [ - "ㄐㄧㄤ1" - ], - "姝": [ - "ㄕㄨ1" - ], - "姞": [ - "ㄐㄧ2" - ], - "姟": [ - "ㄍㄞ1" - ], - "姠": [ - "ㄒㄧㄤ4" - ], - "姡": [ - "ㄏㄨㄚ2", - "ㄏㄨㄛ2" - ], - "姢": [ - "ㄐㄩㄢ1" - ], - "姣": [ - "ㄐㄧㄠ1", - "ㄐㄧㄠ3", - "ㄒㄧㄠ2" - ], - "姤": [ - "ㄍㄡ4" - ], - "姥": [ - "ㄌㄠ3", - "ㄇㄨ3" - ], - "姦": [ - "ㄐㄧㄢ1" - ], - "姧": [ - "ㄐㄧㄢ1" - ], - "姨": [ - "ㄧ2" - ], - "姩": [ - "ㄋㄧㄢ4", - "ㄋㄧㄢ2" - ], - "姪": [ - "ㄓ2" - ], - "姫": [ - "ㄐㄧ1", - "ㄓㄣ3" - ], - "姬": [ - "ㄐㄧ1", - "ㄧ2" - ], - "姭": [ - "ㄒㄧㄢ4" - ], - "姮": [ - "ㄏㄥ2" - ], - "姯": [ - "ㄍㄨㄤ1" - ], - "姰": [ - "ㄐㄩㄣ1", - "ㄒㄩㄣ1", - "ㄒㄩㄢ4", - "ㄒㄧㄣ1" - ], - "姱": [ - "ㄎㄨㄚ1", - "ㄏㄨ4" - ], - "姲": [ - "ㄧㄢ4" - ], - "姳": [ - "ㄇㄧㄥ3" - ], - "姴": [ - "ㄌㄧㄝ4" - ], - "姵": [ - "ㄆㄟ4" - ], - "姶": [ - "ㄜ4", - "ㄧㄚ4" - ], - "姷": [ - "ㄧㄡ4" - ], - "姸": [ - "ㄧㄢ2" - ], - "姹": [ - "ㄔㄚ4" - ], - "姺": [ - "ㄕㄣ1", - "ㄒㄧㄢ1" - ], - "姻": [ - "ㄧㄣ1" - ], - "姼": [ - "ㄕ2", - "ㄊㄧ2", - "ㄐㄧ4" - ], - "姽": [ - "ㄍㄨㄟ3", - "ㄨㄚ2" - ], - "姾": [ - "ㄑㄩㄢ2" - ], - "姿": [ - "ㄗ1", - "ㄗ4" - ], - "娀": [ - "ㄙㄨㄥ1" - ], - "威": [ - "ㄨㄟ1" - ], - "娂": [ - "ㄏㄨㄥ2" - ], - "娃": [ - "ㄨㄚ2", - "ㄨㄚ1", - "ㄍㄨㄟ4" - ], - "娄": [ - "ㄌㄡ2" - ], - "娅": [ - "ㄧㄚ4" - ], - "娆": [ - "ㄖㄠ2", - "ㄖㄠ3" - ], - "娇": [ - "ㄐㄧㄠ1" - ], - "娈": [ - "ㄌㄨㄢ2" - ], - "娉": [ - "ㄆㄧㄥ1", - "ㄆㄧㄣ4" - ], - "娊": [ - "ㄒㄧㄢ4", - "ㄉㄢ1" - ], - "娋": [ - "ㄕㄠ4", - "ㄕㄠ1" - ], - "娌": [ - "ㄌㄧ3" - ], - "娍": [ - "ㄔㄥ2", - "ㄕㄥ4" - ], - "娎": [ - "ㄒㄧㄝ4" - ], - "娏": [ - "ㄇㄤ2" - ], - "娐": [ - "ㄈㄨ1" - ], - "娑": [ - "ㄙㄨㄛ1", - "ㄙㄨㄛ3", - "ㄙㄨㄛ4" - ], - "娒": [ - "ㄇㄟ2", - "ㄇㄨ3", - "ㄨ3" - ], - "娓": [ - "ㄨㄟ3" - ], - "娔": [ - "ㄎㄜ4" - ], - "娕": [ - "ㄔㄨㄛ4", - "ㄘㄨ4", - "ㄌㄞ4" - ], - "娖": [ - "ㄔㄨㄛ4", - "ㄘㄨ4" - ], - "娗": [ - "ㄊㄧㄥ3", - "ㄊㄧㄢ3" - ], - "娘": [ - "ㄋㄧㄤ2" - ], - "娙": [ - "ㄒㄧㄥ2" - ], - "娚": [ - "ㄋㄢ2" - ], - "娛": [ - "ㄩ2" - ], - "娜": [ - "ㄋㄚ4", - "ㄋㄨㄛ2" - ], - "娝": [ - "ㄆㄡ1", - "ㄅㄧ3" - ], - "娞": [ - "ㄋㄟ3", - "ㄙㄨㄟ1" - ], - "娟": [ - "ㄐㄩㄢ1" - ], - "娠": [ - "ㄕㄣ1" - ], - "娡": [ - "ㄓ4" - ], - "娢": [ - "ㄏㄢ2" - ], - "娣": [ - "ㄉㄧ4" - ], - "娤": [ - "ㄓㄨㄤ1" - ], - "娥": [ - "ㄜ2" - ], - "娦": [ - "ㄆㄧㄣ2" - ], - "娧": [ - "ㄊㄨㄟ4" - ], - "娨": [ - "ㄒㄧㄢ4" - ], - "娩": [ - "ㄇㄧㄢ3", - "ㄨㄢ3", - "ㄨㄣ4" - ], - "娪": [ - "ㄨ2", - "ㄨ4", - "ㄩ2" - ], - "娫": [ - "ㄧㄢ2" - ], - "娬": [ - "ㄨ3" - ], - "娭": [ - "ㄞ1", - "ㄒㄧ1" - ], - "娮": [ - "ㄧㄢ2" - ], - "娯": [ - "ㄩ2" - ], - "娰": [ - "ㄙ4" - ], - "娱": [ - "ㄩ2" - ], - "娲": [ - "ㄨㄚ1" - ], - "娳": [ - "ㄌㄧ4" - ], - "娴": [ - "ㄒㄧㄢ2" - ], - "娵": [ - "ㄐㄩ1" - ], - "娶": [ - "ㄑㄩ3", - "ㄐㄩ1", - "ㄕㄨ1" - ], - "娷": [ - "ㄓㄨㄟ4", - "ㄕㄨㄟ4" - ], - "娸": [ - "ㄑㄧ1" - ], - "娹": [ - "ㄒㄧㄢ2" - ], - "娺": [ - "ㄓㄨㄛ2" - ], - "娻": [ - "ㄉㄨㄥ1", - "ㄉㄨㄥ4" - ], - "娼": [ - "ㄔㄤ1" - ], - "娽": [ - "ㄌㄨ4" - ], - "娾": [ - "ㄞ3", - "ㄞ2", - "ㄜ4" - ], - "娿": [ - "ㄜ1", - "ㄜ3" - ], - "婀": [ - "ㄜ1", - "ㄜ3" - ], - "婁": [ - "ㄌㄡ2", - "ㄌㄩ3", - "ㄌㄩ2", - "ㄌㄟ2" - ], - "婂": [ - "ㄇㄧㄢ2" - ], - "婃": [ - "ㄘㄨㄥ2" - ], - "婄": [ - "ㄆㄡ3", - "ㄆㄟ2", - "ㄅㄨ4" - ], - "婅": [ - "ㄐㄩ2" - ], - "婆": [ - "ㄆㄛ2" - ], - "婇": [ - "ㄘㄞ3" - ], - "婈": [ - "ㄌㄧㄥ2" - ], - "婉": [ - "ㄨㄢ3" - ], - "婊": [ - "ㄅㄧㄠ3" - ], - "婋": [ - "ㄒㄧㄠ1" - ], - "婌": [ - "ㄕㄨ2" - ], - "婍": [ - "ㄑㄧ3" - ], - "婎": [ - "ㄏㄨㄟ1" - ], - "婏": [ - "ㄈㄢ4", - "ㄈㄨ4" - ], - "婐": [ - "ㄨㄛ3" - ], - "婑": [ - "ㄖㄨㄟ2", - "ㄨㄛ3", - "ㄋㄟ3" - ], - "婒": [ - "ㄊㄢ2" - ], - "婓": [ - "ㄈㄟ1" - ], - "婔": [ - "ㄈㄟ1" - ], - "婕": [ - "ㄐㄧㄝ2", - "ㄑㄧㄝ4" - ], - "婖": [ - "ㄊㄧㄢ1" - ], - "婗": [ - "ㄋㄧ2", - "ㄋㄧ3" - ], - "婘": [ - "ㄑㄩㄢ2", - "ㄐㄩㄢ4" - ], - "婙": [ - "ㄐㄧㄥ4" - ], - "婚": [ - "ㄏㄨㄣ1" - ], - "婛": [ - "ㄐㄧㄥ1" - ], - "婜": [ - "ㄑㄧㄢ1", - "ㄐㄧㄣ3" - ], - "婝": [ - "ㄉㄧㄢ4" - ], - "婞": [ - "ㄒㄧㄥ4" - ], - "婟": [ - "ㄏㄨ4" - ], - "婠": [ - "ㄨㄢ1", - "ㄍㄨㄢ4" - ], - "婡": [ - "ㄌㄞ2", - "ㄌㄞ4" - ], - "婢": [ - "ㄅㄧ4" - ], - "婣": [ - "ㄧㄣ1" - ], - "婤": [ - "ㄔㄡ1", - "ㄓㄡ1" - ], - "婥": [ - "ㄋㄠ4", - "ㄔㄨㄛ4" - ], - "婦": [ - "ㄈㄨ4" - ], - "婧": [ - "ㄐㄧㄥ4" - ], - "婨": [ - "ㄌㄨㄣ2" - ], - "婩": [ - "ㄢ4", - "ㄋㄩㄝ4" - ], - "婪": [ - "ㄌㄢ2", - "ㄌㄢ3" - ], - "婫": [ - "ㄎㄨㄣ1", - "ㄏㄨㄣ4" - ], - "婬": [ - "ㄧㄣ2" - ], - "婭": [ - "ㄧㄚ4", - "ㄧㄚ1", - "ㄧㄚ3" - ], - "婮": [ - "ㄐㄩ1" - ], - "婯": [ - "ㄌㄧ4" - ], - "婰": [ - "ㄉㄧㄢ3" - ], - "婱": [ - "ㄒㄧㄢ2" - ], - "婲": [ - "ㄏㄨㄚ1" - ], - "婳": [ - "ㄏㄨㄚ4" - ], - "婴": [ - "ㄧㄥ1" - ], - "婵": [ - "ㄔㄢ2" - ], - "婶": [ - "ㄕㄣ3" - ], - "婷": [ - "ㄊㄧㄥ2" - ], - "婸": [ - "ㄉㄤ4", - "ㄧㄤ2" - ], - "婹": [ - "ㄧㄠ3" - ], - "婺": [ - "ㄨ4", - "ㄇㄡ2", - "ㄇㄨ4" - ], - "婻": [ - "ㄋㄢ4" - ], - "婼": [ - "ㄔㄨㄛ4", - "ㄖㄨㄛ4" - ], - "婽": [ - "ㄐㄧㄚ3" - ], - "婾": [ - "ㄊㄡ1" - ], - "婿": [ - "ㄒㄩ4" - ], - "媀": [ - "ㄩ4", - "ㄩ2" - ], - "媁": [ - "ㄨㄟ2", - "ㄨㄟ3" - ], - "媂": [ - "ㄉㄧ4", - "ㄊㄧ2" - ], - "媃": [ - "ㄖㄡ2" - ], - "媄": [ - "ㄇㄟ3" - ], - "媅": [ - "ㄉㄢ1" - ], - "媆": [ - "ㄖㄨㄢ3", - "ㄋㄣ4", - "ㄋㄨㄣ4" - ], - "媇": [ - "ㄑㄧㄣ1" - ], - "媈": [ - "ㄏㄨㄟ1" - ], - "媉": [ - "ㄨㄛ4" - ], - "媊": [ - "ㄑㄧㄢ2" - ], - "媋": [ - "ㄔㄨㄣ1" - ], - "媌": [ - "ㄇㄧㄠ2" - ], - "媍": [ - "ㄈㄨ4" - ], - "媎": [ - "ㄐㄧㄝ3" - ], - "媏": [ - "ㄉㄨㄢ1" - ], - "媐": [ - "ㄧ2", - "ㄒㄧ1" - ], - "媑": [ - "ㄓㄨㄥ4" - ], - "媒": [ - "ㄇㄟ2", - "ㄇㄟ4" - ], - "媓": [ - "ㄏㄨㄤ2" - ], - "媔": [ - "ㄇㄧㄢ2", - "ㄇㄧㄢ3" - ], - "媕": [ - "ㄢ1", - "ㄧㄢ3", - "ㄜ4" - ], - "媖": [ - "ㄧㄥ1" - ], - "媗": [ - "ㄒㄩㄢ1" - ], - "媘": [ - "ㄐㄧㄝ1" - ], - "媙": [ - "ㄨㄟ1" - ], - "媚": [ - "ㄇㄟ4" - ], - "媛": [ - "ㄩㄢ4", - "ㄩㄢ2" - ], - "媜": [ - "ㄓㄥ1" - ], - "媝": [ - "ㄑㄧㄡ1" - ], - "媞": [ - "ㄕ4", - "ㄊㄧ2", - "ㄓ1", - "ㄉㄞ4" - ], - "媟": [ - "ㄒㄧㄝ4" - ], - "媠": [ - "ㄊㄨㄛ3", - "ㄉㄨㄛ4", - "ㄋㄨㄛ3" - ], - "媡": [ - "ㄌㄧㄢ4" - ], - "媢": [ - "ㄇㄠ4" - ], - "媣": [ - "ㄖㄢ3" - ], - "媤": [ - "ㄙ1" - ], - "媥": [ - "ㄆㄧㄢ1" - ], - "媦": [ - "ㄨㄟ4" - ], - "媧": [ - "ㄨㄚ1" - ], - "媨": [ - "ㄘㄨ4" - ], - "媩": [ - "ㄏㄨ2" - ], - "媪": [ - "ㄠ3", - "ㄩㄣ3", - "ㄨㄛ4" - ], - "媫": [ - "ㄐㄧㄝ2" - ], - "媬": [ - "ㄅㄠ3" - ], - "媭": [ - "ㄒㄩ1" - ], - "媮": [ - "ㄊㄡ1", - "ㄩ2" - ], - "媯": [ - "ㄍㄨㄟ1", - "ㄍㄨㄟ4" - ], - "媰": [ - "ㄔㄨ2", - "ㄗㄡ4" - ], - "媱": [ - "ㄧㄠ2" - ], - "媲": [ - "ㄆㄧ4", - "ㄅㄧ1", - "ㄆㄧ2" - ], - "媳": [ - "ㄒㄧ2" - ], - "媴": [ - "ㄩㄢ2" - ], - "媵": [ - "ㄧㄥ4", - "ㄕㄥ4" - ], - "媶": [ - "ㄖㄨㄥ2" - ], - "媷": [ - "ㄖㄨ4" - ], - "媸": [ - "ㄔ1" - ], - "媹": [ - "ㄌㄧㄡ2" - ], - "媺": [ - "ㄇㄟ3" - ], - "媻": [ - "ㄆㄢ2" - ], - "媼": [ - "ㄠ3" - ], - "媽": [ - "ㄇㄚ1" - ], - "媾": [ - "ㄍㄡ4" - ], - "媿": [ - "ㄎㄨㄟ4", - "ㄔㄡ3" - ], - "嫀": [ - "ㄑㄧㄣ2", - "ㄕㄣ1" - ], - "嫁": [ - "ㄐㄧㄚ4" - ], - "嫂": [ - "ㄙㄠ3" - ], - "嫃": [ - "ㄓㄣ1", - "ㄓㄣ3" - ], - "嫄": [ - "ㄩㄢ2" - ], - "嫅": [ - "ㄐㄧㄝ1", - "ㄙㄨㄛ3" - ], - "嫆": [ - "ㄖㄨㄥ2" - ], - "嫇": [ - "ㄇㄧㄥ2", - "ㄇㄧㄥ3", - "ㄇㄥ2" - ], - "嫈": [ - "ㄧㄥ1", - "ㄒㄧㄥ1", - "ㄧㄥ2" - ], - "嫉": [ - "ㄐㄧ2" - ], - "嫊": [ - "ㄙㄨ4" - ], - "嫋": [ - "ㄋㄧㄠ3" - ], - "嫌": [ - "ㄒㄧㄢ2" - ], - "嫍": [ - "ㄊㄠ1" - ], - "嫎": [ - "ㄆㄤ2", - "ㄅㄤ4" - ], - "嫏": [ - "ㄌㄤ2" - ], - "嫐": [ - "ㄋㄠ3" - ], - "嫑": [ - "ㄅㄠ2" - ], - "嫒": [ - "ㄞ4" - ], - "嫓": [ - "ㄆㄧ4" - ], - "嫔": [ - "ㄆㄧㄣ2" - ], - "嫕": [ - "ㄧ4" - ], - "嫖": [ - "ㄆㄧㄠ2", - "ㄆㄧㄠ4", - "ㄅㄧㄠ1" - ], - "嫗": [ - "ㄩ4", - "ㄩ3", - "ㄎㄡ1" - ], - "嫘": [ - "ㄌㄟ2" - ], - "嫙": [ - "ㄒㄩㄢ2" - ], - "嫚": [ - "ㄇㄢ1", - "ㄇㄢ4", - "ㄩㄢ1" - ], - "嫛": [ - "ㄧ1" - ], - "嫜": [ - "ㄓㄤ1" - ], - "嫝": [ - "ㄎㄤ1" - ], - "嫞": [ - "ㄩㄥ1" - ], - "嫟": [ - "ㄋㄧ4" - ], - "嫠": [ - "ㄌㄧ2" - ], - "嫡": [ - "ㄉㄧ2" - ], - "嫢": [ - "ㄍㄨㄟ1", - "ㄗㄨㄟ1" - ], - "嫣": [ - "ㄧㄢ1" - ], - "嫤": [ - "ㄐㄧㄣ3", - "ㄐㄧㄣ4" - ], - "嫥": [ - "ㄓㄨㄢ1", - "ㄊㄨㄢ2" - ], - "嫦": [ - "ㄔㄤ2" - ], - "嫧": [ - "ㄗㄜ2", - "ㄘㄜ4" - ], - "嫨": [ - "ㄏㄢ1", - "ㄋㄢ3" - ], - "嫩": [ - "ㄋㄣ4" - ], - "嫪": [ - "ㄌㄠ4", - "ㄌㄠ2" - ], - "嫫": [ - "ㄇㄛ2" - ], - "嫬": [ - "ㄓㄜ1" - ], - "嫭": [ - "ㄏㄨ4" - ], - "嫮": [ - "ㄏㄨ4" - ], - "嫯": [ - "ㄠ4" - ], - "嫰": [ - "ㄋㄣ4" - ], - "嫱": [ - "ㄑㄧㄤ2" - ], - "嫲": [ - "ㄇㄚ5" - ], - "嫳": [ - "ㄆㄧㄝ4" - ], - "嫴": [ - "ㄍㄨ1" - ], - "嫵": [ - "ㄨ3" - ], - "嫶": [ - "ㄑㄧㄠ2", - "ㄐㄧㄠ1" - ], - "嫷": [ - "ㄊㄨㄛ3" - ], - "嫸": [ - "ㄓㄢ3" - ], - "嫹": [ - "ㄇㄧㄠ2" - ], - "嫺": [ - "ㄒㄧㄢ2" - ], - "嫻": [ - "ㄒㄧㄢ2" - ], - "嫼": [ - "ㄇㄛ4" - ], - "嫽": [ - "ㄌㄧㄠ2", - "ㄌㄧㄠ3", - "ㄌㄧㄠ4", - "ㄌㄠ3" - ], - "嫾": [ - "ㄌㄧㄢ2" - ], - "嫿": [ - "ㄏㄨㄚ4" - ], - "嬀": [ - "ㄍㄨㄟ1" - ], - "嬁": [ - "ㄉㄥ1" - ], - "嬂": [ - "ㄓ2" - ], - "嬃": [ - "ㄒㄩ1" - ], - "嬄": [ - "ㄧ1" - ], - "嬅": [ - "ㄏㄨㄚ4" - ], - "嬆": [ - "ㄒㄧ1" - ], - "嬇": [ - "ㄎㄨㄟ4" - ], - "嬈": [ - "ㄖㄠ2", - "ㄖㄠ3", - "ㄧㄠ3" - ], - "嬉": [ - "ㄒㄧ1", - "ㄒㄧ3" - ], - "嬊": [ - "ㄧㄢ4" - ], - "嬋": [ - "ㄔㄢ2" - ], - "嬌": [ - "ㄐㄧㄠ1" - ], - "嬍": [ - "ㄇㄟ3" - ], - "嬎": [ - "ㄈㄢ4", - "ㄈㄨ4" - ], - "嬏": [ - "ㄈㄢ1" - ], - "嬐": [ - "ㄒㄧㄢ1", - "ㄧㄢ3", - "ㄐㄧㄣ4" - ], - "嬑": [ - "ㄧ4" - ], - "嬒": [ - "ㄏㄨㄟ4" - ], - "嬓": [ - "ㄐㄧㄠ4" - ], - "嬔": [ - "ㄈㄨ4" - ], - "嬕": [ - "ㄕ4" - ], - "嬖": [ - "ㄅㄧ4" - ], - "嬗": [ - "ㄕㄢ4", - "ㄔㄢ2" - ], - "嬘": [ - "ㄙㄨㄟ4" - ], - "嬙": [ - "ㄑㄧㄤ2" - ], - "嬚": [ - "ㄌㄧㄢ3" - ], - "嬛": [ - "ㄏㄨㄢ2", - "ㄒㄩㄢ1", - "ㄑㄩㄥ2", - "ㄒㄩㄢ2" - ], - "嬜": [ - "ㄒㄧㄣ1" - ], - "嬝": [ - "ㄋㄧㄠ3" - ], - "嬞": [ - "ㄉㄨㄥ3" - ], - "嬟": [ - "ㄧ4", - "ㄧ3" - ], - "嬠": [ - "ㄘㄢ1" - ], - "嬡": [ - "ㄞ4" - ], - "嬢": [ - "ㄋㄧㄤ2" - ], - "嬣": [ - "ㄋㄧㄥ2" - ], - "嬤": [ - "ㄇㄚ1" - ], - "嬥": [ - "ㄊㄧㄠ3", - "ㄉㄧㄠ4" - ], - "嬦": [ - "ㄔㄡ2" - ], - "嬧": [ - "ㄐㄧㄣ4" - ], - "嬨": [ - "ㄘ2" - ], - "嬩": [ - "ㄩ2" - ], - "嬪": [ - "ㄆㄧㄣ2" - ], - "嬫": [ - "ㄖㄨㄥ2" - ], - "嬬": [ - "ㄖㄨ2", - "ㄋㄡ4" - ], - "嬭": [ - "ㄋㄞ3", - "ㄦ3", - "ㄋㄧ4" - ], - "嬮": [ - "ㄧㄢ1", - "ㄧㄢ4" - ], - "嬯": [ - "ㄊㄞ2" - ], - "嬰": [ - "ㄧㄥ1", - "ㄧㄥ4" - ], - "嬱": [ - "ㄑㄧㄢ4" - ], - "嬲": [ - "ㄋㄧㄠ3" - ], - "嬳": [ - "ㄩㄝ4" - ], - "嬴": [ - "ㄧㄥ2" - ], - "嬵": [ - "ㄇㄧㄢ2" - ], - "嬶": [ - "ㄅㄧ2" - ], - "嬷": [ - "ㄇㄚ1", - "ㄇㄛ2" - ], - "嬸": [ - "ㄕㄣ3" - ], - "嬹": [ - "ㄒㄧㄥ4", - "ㄒㄧㄥ1" - ], - "嬺": [ - "ㄋㄧ4" - ], - "嬻": [ - "ㄉㄨ2" - ], - "嬼": [ - "ㄌㄧㄡ3" - ], - "嬽": [ - "ㄩㄢ1" - ], - "嬾": [ - "ㄌㄢ3" - ], - "嬿": [ - "ㄧㄢ4" - ], - "孀": [ - "ㄕㄨㄤ1" - ], - "孁": [ - "ㄌㄧㄥ2" - ], - "孂": [ - "ㄐㄧㄠ3" - ], - "孃": [ - "ㄋㄧㄤ2", - "ㄖㄤ2" - ], - "孄": [ - "ㄌㄢ3" - ], - "孅": [ - "ㄑㄧㄢ1", - "ㄒㄧㄢ1" - ], - "孆": [ - "ㄧㄥ1" - ], - "孇": [ - "ㄕㄨㄤ1" - ], - "孈": [ - "ㄏㄨㄟ4", - "ㄒㄧㄝ2" - ], - "孉": [ - "ㄑㄩㄢ2", - "ㄏㄨㄢ1" - ], - "孊": [ - "ㄇㄧ3" - ], - "孋": [ - "ㄌㄧ2", - "ㄌㄧ4" - ], - "孌": [ - "ㄌㄨㄢ2", - "ㄌㄧㄢ4", - "ㄌㄨㄢ3" - ], - "孍": [ - "ㄧㄢ2", - "ㄧㄢ3" - ], - "孎": [ - "ㄓㄨ2", - "ㄕㄨ2", - "ㄔㄨㄛ4" - ], - "孏": [ - "ㄌㄢ3" - ], - "子": [ - "ㄗ5", - "ㄗ3" - ], - "孑": [ - "ㄐㄧㄝ2" - ], - "孒": [ - "ㄐㄩㄝ2" - ], - "孓": [ - "ㄐㄩㄝ2" - ], - "孔": [ - "ㄎㄨㄥ3" - ], - "孕": [ - "ㄩㄣ4" - ], - "孖": [ - "ㄇㄚ1", - "ㄗ1" - ], - "字": [ - "ㄗ4" - ], - "存": [ - "ㄘㄨㄣ2" - ], - "孙": [ - "ㄙㄨㄣ1" - ], - "孚": [ - "ㄈㄨ2" - ], - "孛": [ - "ㄅㄟ4", - "ㄅㄛ2" - ], - "孜": [ - "ㄗ1" - ], - "孝": [ - "ㄒㄧㄠ4" - ], - "孞": [ - "ㄒㄧㄣ4" - ], - "孟": [ - "ㄇㄥ4" - ], - "孠": [ - "ㄙ4" - ], - "孡": [ - "ㄊㄞ1" - ], - "孢": [ - "ㄅㄠ1" - ], - "季": [ - "ㄐㄧ4" - ], - "孤": [ - "ㄍㄨ1" - ], - "孥": [ - "ㄋㄨ2" - ], - "学": [ - "ㄒㄩㄝ2" - ], - "孧": [ - "ㄧㄡ4" - ], - "孨": [ - "ㄓㄨㄢ3", - "ㄋㄧ4" - ], - "孩": [ - "ㄏㄞ2" - ], - "孪": [ - "ㄌㄨㄢ2" - ], - "孫": [ - "ㄙㄨㄣ1", - "ㄒㄩㄣ4" - ], - "孬": [ - "ㄋㄠ1" - ], - "孭": [ - "ㄇㄧㄝ1" - ], - "孮": [ - "ㄘㄨㄥ2" - ], - "孯": [ - "ㄑㄧㄢ1" - ], - "孰": [ - "ㄕㄨ2" - ], - "孱": [ - "ㄘㄢ4", - "ㄔㄢ2", - "ㄐㄧㄢ1", - "ㄓㄢ4" - ], - "孲": [ - "ㄧㄚ1" - ], - "孳": [ - "ㄗ1" - ], - "孴": [ - "ㄋㄧ3", - "ㄋㄧ4", - "ㄧ4" - ], - "孵": [ - "ㄈㄨ1" - ], - "孶": [ - "ㄗ1" - ], - "孷": [ - "ㄌㄧ2" - ], - "學": [ - "ㄒㄩㄝ2", - "ㄏㄨㄚ2", - "ㄐㄧㄠ4" - ], - "孹": [ - "ㄅㄛ4" - ], - "孺": [ - "ㄖㄨ2" - ], - "孻": [ - "ㄋㄞ2" - ], - "孼": [ - "ㄋㄧㄝ4" - ], - "孽": [ - "ㄋㄧㄝ4" - ], - "孾": [ - "ㄧㄥ1" - ], - "孿": [ - "ㄌㄨㄢ2" - ], - "宀": [ - "ㄇㄧㄢ2" - ], - "宁": [ - "ㄋㄧㄥ2", - "ㄋㄧㄥ4", - "ㄓㄨ4" - ], - "宂": [ - "ㄖㄨㄥ3" - ], - "它": [ - "ㄊㄚ1", - "ㄊㄨㄛ2", - "ㄧ2" - ], - "宄": [ - "ㄍㄨㄟ3" - ], - "宅": [ - "ㄓㄞ2", - "ㄔㄜ4", - "ㄉㄨ4" - ], - "宆": [ - "ㄑㄩㄥ2" - ], - "宇": [ - "ㄩ3" - ], - "守": [ - "ㄕㄡ3", - "ㄕㄡ4" - ], - "安": [ - "ㄢ1" - ], - "宊": [ - "ㄊㄨ1", - "ㄐㄧㄚ1" - ], - "宋": [ - "ㄙㄨㄥ4" - ], - "完": [ - "ㄨㄢ2", - "ㄎㄨㄢ1" - ], - "宍": [ - "ㄖㄡ4" - ], - "宎": [ - "ㄧㄠ3", - "ㄧㄠ1" - ], - "宏": [ - "ㄏㄨㄥ2" - ], - "宐": [ - "ㄧ2" - ], - "宑": [ - "ㄐㄧㄥ3" - ], - "宒": [ - "ㄓㄨㄣ1" - ], - "宓": [ - "ㄇㄧ4", - "ㄈㄨ2" - ], - "宔": [ - "ㄓㄨ3" - ], - "宕": [ - "ㄉㄤ4" - ], - "宖": [ - "ㄏㄨㄥ2" - ], - "宗": [ - "ㄗㄨㄥ1" - ], - "官": [ - "ㄍㄨㄢ1" - ], - "宙": [ - "ㄓㄡ4" - ], - "定": [ - "ㄉㄧㄥ4" - ], - "宛": [ - "ㄨㄢ3", - "ㄩㄢ1", - "ㄩㄣ3", - "ㄩ4" - ], - "宜": [ - "ㄧ2" - ], - "宝": [ - "ㄅㄠ3" - ], - "实": [ - "ㄕ2" - ], - "実": [ - "ㄕ2" - ], - "宠": [ - "ㄔㄨㄥ3" - ], - "审": [ - "ㄕㄣ3" - ], - "客": [ - "ㄎㄜ4", - "ㄑㄧㄚ4" - ], - "宣": [ - "ㄒㄩㄢ1" - ], - "室": [ - "ㄕ4" - ], - "宥": [ - "ㄧㄡ4" - ], - "宦": [ - "ㄏㄨㄢ4" - ], - "宧": [ - "ㄧ2" - ], - "宨": [ - "ㄊㄧㄠ3" - ], - "宩": [ - "ㄕ3" - ], - "宪": [ - "ㄒㄧㄢ4", - "ㄒㄩㄥ4" - ], - "宫": [ - "ㄍㄨㄥ1" - ], - "宬": [ - "ㄔㄥ2" - ], - "宭": [ - "ㄑㄩㄣ2" - ], - "宮": [ - "ㄍㄨㄥ1" - ], - "宯": [ - "ㄒㄧㄠ1" - ], - "宰": [ - "ㄗㄞ3" - ], - "宱": [ - "ㄓㄚ4" - ], - "宲": [ - "ㄅㄠ3", - "ㄕ2" - ], - "害": [ - "ㄏㄞ4", - "ㄏㄜ2" - ], - "宴": [ - "ㄧㄢ4" - ], - "宵": [ - "ㄒㄧㄠ1" - ], - "家": [ - "ㄐㄧㄚ1", - "ㄐㄧㄚ5", - "ㄐㄧㄚ4", - "ㄐㄧㄝ5", - "ㄍㄨ1" - ], - "宷": [ - "ㄕㄣ3" - ], - "宸": [ - "ㄔㄣ2" - ], - "容": [ - "ㄖㄨㄥ2", - "ㄩㄥ3" - ], - "宺": [ - "ㄏㄨㄤ3" - ], - "宻": [ - "ㄇㄧ4" - ], - "宼": [ - "ㄎㄡ4" - ], - "宽": [ - "ㄎㄨㄢ1" - ], - "宾": [ - "ㄅㄧㄣ1" - ], - "宿": [ - "ㄙㄨ4", - "ㄒㄧㄡ3", - "ㄒㄧㄡ4", - "ㄑㄧ1" - ], - "寀": [ - "ㄘㄞ3", - "ㄘㄞ4" - ], - "寁": [ - "ㄗㄢ3" - ], - "寂": [ - "ㄐㄧ4" - ], - "寃": [ - "ㄩㄢ1" - ], - "寄": [ - "ㄐㄧ4" - ], - "寅": [ - "ㄧㄣ2" - ], - "密": [ - "ㄇㄧ4" - ], - "寇": [ - "ㄎㄡ4" - ], - "寈": [ - "ㄑㄧㄥ1" - ], - "寉": [ - "ㄏㄜ4" - ], - "寊": [ - "ㄓㄣ1" - ], - "寋": [ - "ㄐㄧㄢ4" - ], - "富": [ - "ㄈㄨ4" - ], - "寍": [ - "ㄋㄧㄥ2" - ], - "寎": [ - "ㄅㄧㄥ4", - "ㄅㄧㄥ3" - ], - "寏": [ - "ㄏㄨㄢ2" - ], - "寐": [ - "ㄇㄟ4" - ], - "寑": [ - "ㄑㄧㄣ3" - ], - "寒": [ - "ㄏㄢ2" - ], - "寓": [ - "ㄩ4" - ], - "寔": [ - "ㄕ2" - ], - "寕": [ - "ㄋㄧㄥ2" - ], - "寖": [ - "ㄐㄧㄣ4" - ], - "寗": [ - "ㄋㄧㄥ2" - ], - "寘": [ - "ㄓ4", - "ㄊㄧㄢ2" - ], - "寙": [ - "ㄩ3" - ], - "寚": [ - "ㄅㄠ3" - ], - "寛": [ - "ㄎㄨㄢ1" - ], - "寜": [ - "ㄋㄧㄥ2" - ], - "寝": [ - "ㄑㄧㄣ3" - ], - "寞": [ - "ㄇㄛ4" - ], - "察": [ - "ㄔㄚ2", - "ㄘㄨㄟ4" - ], - "寠": [ - "ㄐㄩ4", - "ㄌㄩ4", - "ㄌㄡ2" - ], - "寡": [ - "ㄍㄨㄚ3" - ], - "寢": [ - "ㄑㄧㄣ3" - ], - "寣": [ - "ㄏㄨ1" - ], - "寤": [ - "ㄨ4" - ], - "寥": [ - "ㄌㄧㄠ2" - ], - "實": [ - "ㄕ2", - "ㄓ4" - ], - "寧": [ - "ㄋㄧㄥ2", - "ㄋㄧㄥ4" - ], - "寨": [ - "ㄓㄞ4", - "ㄙㄜ4", - "ㄑㄧㄢ1" - ], - "審": [ - "ㄕㄣ3", - "ㄆㄢ2" - ], - "寪": [ - "ㄨㄟ3", - "ㄨㄟ2" - ], - "寫": [ - "ㄒㄧㄝ3", - "ㄒㄧㄝ4" - ], - "寬": [ - "ㄎㄨㄢ1" - ], - "寭": [ - "ㄏㄨㄟ4" - ], - "寮": [ - "ㄌㄧㄠ2" - ], - "寯": [ - "ㄐㄩㄣ4" - ], - "寰": [ - "ㄏㄨㄢ2", - "ㄒㄧㄢ4" - ], - "寱": [ - "ㄧ4" - ], - "寲": [ - "ㄧ2" - ], - "寳": [ - "ㄅㄠ3" - ], - "寴": [ - "ㄑㄧㄣ1", - "ㄑㄧㄣ4" - ], - "寵": [ - "ㄔㄨㄥ3", - "ㄌㄨㄥ2" - ], - "寶": [ - "ㄅㄠ3" - ], - "寷": [ - "ㄈㄥ1" - ], - "寸": [ - "ㄘㄨㄣ4", - "ㄘㄨㄣ3" - ], - "对": [ - "ㄉㄨㄟ4" - ], - "寺": [ - "ㄙ4", - "ㄕ4" - ], - "寻": [ - "ㄒㄩㄣ2", - "ㄒㄧㄣ2" - ], - "导": [ - "ㄉㄠ3" - ], - "寽": [ - "ㄌㄩ4", - "ㄌㄩㄝ4" - ], - "対": [ - "ㄉㄨㄟ4" - ], - "寿": [ - "ㄕㄡ4" - ], - "尀": [ - "ㄆㄛ3" - ], - "封": [ - "ㄈㄥ1", - "ㄅㄧㄢ3" - ], - "専": [ - "ㄓㄨㄢ1" - ], - "尃": [ - "ㄈㄨ1", - "ㄅㄨ4", - "ㄈㄨ3", - "ㄆㄛ4" - ], - "射": [ - "ㄕㄜ4", - "ㄧㄝ4", - "ㄧ4" - ], - "尅": [ - "ㄎㄜ4", - "ㄎㄟ1" - ], - "将": [ - "ㄐㄧㄤ1", - "ㄐㄧㄤ4", - "ㄑㄧㄤ1" - ], - "將": [ - "ㄐㄧㄤ1", - "ㄐㄧㄤ4", - "ㄑㄧㄤ1", - "ㄧㄤ2", - "ㄐㄧㄤ3" - ], - "專": [ - "ㄓㄨㄢ1", - "ㄊㄨㄢ2", - "ㄕㄨㄢ4" - ], - "尉": [ - "ㄨㄟ4", - "ㄩ4", - "ㄩㄣ4" - ], - "尊": [ - "ㄗㄨㄣ1" - ], - "尋": [ - "ㄒㄩㄣ2", - "ㄒㄧㄣ2" - ], - "尌": [ - "ㄕㄨ4", - "ㄓㄨ4" - ], - "對": [ - "ㄉㄨㄟ4" - ], - "導": [ - "ㄉㄠ3", - "ㄉㄠ4" - ], - "小": [ - "ㄒㄧㄠ3" - ], - "尐": [ - "ㄐㄧㄝ2", - "ㄐㄧ2" - ], - "少": [ - "ㄕㄠ3", - "ㄕㄠ4" - ], - "尒": [ - "ㄦ3" - ], - "尓": [ - "ㄦ3" - ], - "尔": [ - "ㄦ3" - ], - "尕": [ - "ㄍㄚ3" - ], - "尖": [ - "ㄐㄧㄢ1" - ], - "尗": [ - "ㄕㄨ1", - "ㄕㄨ2" - ], - "尘": [ - "ㄔㄣ2" - ], - "尙": [ - "ㄕㄤ4" - ], - "尚": [ - "ㄕㄤ4", - "ㄔㄤ2" - ], - "尛": [ - "ㄇㄛ2" - ], - "尜": [ - "ㄍㄚ2" - ], - "尝": [ - "ㄔㄤ2" - ], - "尞": [ - "ㄌㄧㄠ4", - "ㄌㄧㄠ2" - ], - "尟": [ - "ㄒㄧㄢ3" - ], - "尠": [ - "ㄒㄧㄢ3" - ], - "尡": [ - "ㄎㄨㄣ5" - ], - "尢": [ - "ㄧㄡ2", - "ㄨㄤ1" - ], - "尣": [ - "ㄨㄤ1" - ], - "尤": [ - "ㄧㄡ2" - ], - "尥": [ - "ㄌㄧㄠ4", - "ㄋㄧㄠ3" - ], - "尦": [ - "ㄌㄧㄠ4" - ], - "尧": [ - "ㄧㄠ2" - ], - "尨": [ - "ㄇㄤ2", - "ㄇㄥ2", - "ㄆㄤ2" - ], - "尩": [ - "ㄨㄤ1" - ], - "尪": [ - "ㄨㄤ1" - ], - "尫": [ - "ㄨㄤ1" - ], - "尬": [ - "ㄍㄚ4" - ], - "尭": [ - "ㄧㄠ2" - ], - "尮": [ - "ㄉㄨㄛ4" - ], - "尯": [ - "ㄎㄨㄟ4", - "ㄎㄨㄟ3" - ], - "尰": [ - "ㄓㄨㄥ3" - ], - "就": [ - "ㄐㄧㄡ4" - ], - "尲": [ - "ㄍㄢ1" - ], - "尳": [ - "ㄍㄨ3" - ], - "尴": [ - "ㄍㄢ1" - ], - "尵": [ - "ㄊㄨㄟ2", - "ㄓㄨㄞ4" - ], - "尶": [ - "ㄍㄢ1" - ], - "尷": [ - "ㄍㄢ1" - ], - "尸": [ - "ㄕ1" - ], - "尹": [ - "ㄧㄣ3", - "ㄩㄣ2" - ], - "尺": [ - "ㄔ3", - "ㄔㄜ3" - ], - "尻": [ - "ㄎㄠ1" - ], - "尼": [ - "ㄋㄧ2", - "ㄋㄧ3" - ], - "尽": [ - "ㄐㄧㄣ3", - "ㄐㄧㄣ4" - ], - "尾": [ - "ㄨㄟ3", - "ㄧ3" - ], - "尿": [ - "ㄋㄧㄠ4", - "ㄙㄨㄟ1" - ], - "局": [ - "ㄐㄩ2" - ], - "屁": [ - "ㄆㄧ4" - ], - "层": [ - "ㄘㄥ2" - ], - "屃": [ - "ㄒㄧ4" - ], - "屄": [ - "ㄅㄧ1" - ], - "居": [ - "ㄐㄩ1", - "ㄐㄧ1" - ], - "屆": [ - "ㄐㄧㄝ4" - ], - "屇": [ - "ㄊㄧㄢ2" - ], - "屈": [ - "ㄑㄩ1", - "ㄐㄩㄝ2", - "ㄑㄩㄝ4", - "ㄐㄩ2" - ], - "屉": [ - "ㄊㄧ4" - ], - "届": [ - "ㄐㄧㄝ4" - ], - "屋": [ - "ㄨ1" - ], - "屌": [ - "ㄉㄧㄠ3" - ], - "屍": [ - "ㄕ1", - "ㄕ4" - ], - "屎": [ - "ㄕ3", - "ㄒㄧ1" - ], - "屏": [ - "ㄆㄧㄥ2", - "ㄅㄧㄥ3", - "ㄅㄧㄥ4", - "ㄅㄧㄥ1" - ], - "屐": [ - "ㄐㄧ1" - ], - "屑": [ - "ㄒㄧㄝ4" - ], - "屒": [ - "ㄓㄣ3" - ], - "屓": [ - "ㄒㄧㄝ4" - ], - "屔": [ - "ㄋㄧ2" - ], - "展": [ - "ㄓㄢ3" - ], - "屖": [ - "ㄒㄧ1" - ], - "屗": [ - "ㄨㄟ3" - ], - "屘": [ - "ㄇㄢ3" - ], - "屙": [ - "ㄜ1" - ], - "屚": [ - "ㄌㄡ4" - ], - "屛": [ - "ㄆㄧㄥ2" - ], - "屜": [ - "ㄊㄧ4" - ], - "屝": [ - "ㄈㄟ4" - ], - "属": [ - "ㄕㄨ3", - "ㄓㄨ3" - ], - "屟": [ - "ㄒㄧㄝ4", - "ㄊㄧ4" - ], - "屠": [ - "ㄊㄨ2" - ], - "屡": [ - "ㄌㄩ3" - ], - "屢": [ - "ㄌㄩ3" - ], - "屣": [ - "ㄒㄧ3" - ], - "層": [ - "ㄘㄥ2" - ], - "履": [ - "ㄌㄩ3" - ], - "屦": [ - "ㄐㄩ4" - ], - "屧": [ - "ㄒㄧㄝ4" - ], - "屨": [ - "ㄐㄩ4" - ], - "屩": [ - "ㄐㄩㄝ1" - ], - "屪": [ - "ㄌㄧㄠ2" - ], - "屫": [ - "ㄐㄩㄝ2" - ], - "屬": [ - "ㄕㄨ3", - "ㄓㄨ3" - ], - "屭": [ - "ㄒㄧ4" - ], - "屮": [ - "ㄔㄜ4", - "ㄘㄠ3" - ], - "屯": [ - "ㄊㄨㄣ2", - "ㄓㄨㄣ1" - ], - "屰": [ - "ㄋㄧ4", - "ㄆㄛ4", - "ㄐㄧ2" - ], - "山": [ - "ㄕㄢ1" - ], - "屲": [ - "ㄨㄚ1" - ], - "屳": [ - "ㄒㄧㄢ1" - ], - "屴": [ - "ㄌㄧ4" - ], - "屵": [ - "ㄜ4", - "ㄧㄢ3" - ], - "屶": [ - "ㄏㄨㄟ4" - ], - "屷": [ - "ㄏㄨㄟ4" - ], - "屸": [ - "ㄌㄨㄥ2", - "ㄏㄨㄥ2" - ], - "屹": [ - "ㄧ4", - "ㄍㄜ1" - ], - "屺": [ - "ㄑㄧ3" - ], - "屻": [ - "ㄖㄣ4" - ], - "屼": [ - "ㄨ4" - ], - "屽": [ - "ㄏㄢ4", - "ㄢ4" - ], - "屾": [ - "ㄕㄣ1" - ], - "屿": [ - "ㄩ3" - ], - "岀": [ - "ㄔㄨ1" - ], - "岁": [ - "ㄙㄨㄟ4" - ], - "岂": [ - "ㄑㄧ3", - "ㄎㄞ3" - ], - "岃": [ - "ㄖㄣ4" - ], - "岄": [ - "ㄩㄝ4" - ], - "岅": [ - "ㄅㄢ3" - ], - "岆": [ - "ㄧㄠ3" - ], - "岇": [ - "ㄤ2" - ], - "岈": [ - "ㄧㄚ2", - "ㄒㄧㄚ1" - ], - "岉": [ - "ㄨ4" - ], - "岊": [ - "ㄐㄧㄝ2" - ], - "岋": [ - "ㄜ4", - "ㄐㄧ2" - ], - "岌": [ - "ㄐㄧ2" - ], - "岍": [ - "ㄑㄧㄢ1" - ], - "岎": [ - "ㄈㄣ2", - "ㄔㄚ4" - ], - "岏": [ - "ㄨㄢ2" - ], - "岐": [ - "ㄑㄧ2" - ], - "岑": [ - "ㄘㄣ2" - ], - "岒": [ - "ㄑㄧㄢ2" - ], - "岓": [ - "ㄑㄧ2" - ], - "岔": [ - "ㄔㄚ4" - ], - "岕": [ - "ㄐㄧㄝ4" - ], - "岖": [ - "ㄑㄩ1" - ], - "岗": [ - "ㄍㄤ3", - "ㄍㄤ1" - ], - "岘": [ - "ㄒㄧㄢ4" - ], - "岙": [ - "ㄠ4" - ], - "岚": [ - "ㄌㄢ2" - ], - "岛": [ - "ㄉㄠ3" - ], - "岜": [ - "ㄅㄚ1" - ], - "岝": [ - "ㄗㄨㄛ4" - ], - "岞": [ - "ㄗㄨㄛ4" - ], - "岟": [ - "ㄧㄤ3" - ], - "岠": [ - "ㄐㄩ4" - ], - "岡": [ - "ㄍㄤ1" - ], - "岢": [ - "ㄎㄜ3" - ], - "岣": [ - "ㄍㄡ3" - ], - "岤": [ - "ㄒㄩㄝ2" - ], - "岥": [ - "ㄆㄛ1" - ], - "岦": [ - "ㄌㄧ4" - ], - "岧": [ - "ㄊㄧㄠ2" - ], - "岨": [ - "ㄑㄩ1", - "ㄐㄩ1", - "ㄗㄨ3", - "ㄐㄩ3" - ], - "岩": [ - "ㄧㄢ2" - ], - "岪": [ - "ㄈㄨ2" - ], - "岫": [ - "ㄒㄧㄡ4" - ], - "岬": [ - "ㄐㄧㄚ3", - "ㄐㄧㄚ2" - ], - "岭": [ - "ㄌㄧㄥ3", - "ㄌㄧㄥ2" - ], - "岮": [ - "ㄊㄨㄛ2" - ], - "岯": [ - "ㄆㄧ2" - ], - "岰": [ - "ㄠ4" - ], - "岱": [ - "ㄉㄞ4" - ], - "岲": [ - "ㄎㄨㄤ4" - ], - "岳": [ - "ㄩㄝ4" - ], - "岴": [ - "ㄑㄩ1" - ], - "岵": [ - "ㄏㄨ4" - ], - "岶": [ - "ㄆㄛ4" - ], - "岷": [ - "ㄇㄧㄣ2" - ], - "岸": [ - "ㄢ4" - ], - "岹": [ - "ㄊㄧㄠ2" - ], - "岺": [ - "ㄌㄧㄥ2" - ], - "岻": [ - "ㄔ2" - ], - "岼": [ - "ㄆㄧㄥ2" - ], - "岽": [ - "ㄉㄨㄥ1" - ], - "岾": [ - "ㄏㄢ4" - ], - "岿": [ - "ㄎㄨㄟ1" - ], - "峀": [ - "ㄒㄧㄡ4" - ], - "峁": [ - "ㄇㄠ3" - ], - "峂": [ - "ㄊㄨㄥ2" - ], - "峃": [ - "ㄒㄩㄝ2" - ], - "峄": [ - "ㄧ4" - ], - "峅": [ - "ㄅㄧㄢ4" - ], - "峆": [ - "ㄏㄜ2" - ], - "峇": [ - "ㄅㄚ1", - "ㄎㄜ4" - ], - "峈": [ - "ㄌㄨㄛ4" - ], - "峉": [ - "ㄜ4" - ], - "峊": [ - "ㄈㄨ4", - "ㄋㄧㄝ4" - ], - "峋": [ - "ㄒㄩㄣ2" - ], - "峌": [ - "ㄉㄧㄝ2" - ], - "峍": [ - "ㄌㄨ4" - ], - "峎": [ - "ㄣ3" - ], - "峏": [ - "ㄦ2" - ], - "峐": [ - "ㄍㄞ1" - ], - "峑": [ - "ㄑㄩㄢ1" - ], - "峒": [ - "ㄉㄨㄥ4", - "ㄊㄨㄥ2" - ], - "峓": [ - "ㄧ2" - ], - "峔": [ - "ㄇㄨ3" - ], - "峕": [ - "ㄕ2" - ], - "峖": [ - "ㄢ1" - ], - "峗": [ - "ㄨㄟ2", - "ㄨㄟ3" - ], - "峘": [ - "ㄏㄨㄢ2" - ], - "峙": [ - "ㄓ4", - "ㄕ4" - ], - "峚": [ - "ㄇㄧ4" - ], - "峛": [ - "ㄌㄧ3", - "ㄌㄧㄝ4" - ], - "峜": [ - "ㄐㄧ4" - ], - "峝": [ - "ㄊㄨㄥ2" - ], - "峞": [ - "ㄨㄟ2", - "ㄨㄟ3" - ], - "峟": [ - "ㄧㄡ4" - ], - "峠": [ - "ㄑㄧㄚ3" - ], - "峡": [ - "ㄒㄧㄚ2" - ], - "峢": [ - "ㄌㄧ3" - ], - "峣": [ - "ㄧㄠ2" - ], - "峤": [ - "ㄐㄧㄠ4", - "ㄑㄧㄠ2" - ], - "峥": [ - "ㄓㄥ1" - ], - "峦": [ - "ㄌㄨㄢ2" - ], - "峧": [ - "ㄐㄧㄠ1" - ], - "峨": [ - "ㄜ2" - ], - "峩": [ - "ㄜ2" - ], - "峪": [ - "ㄩ4" - ], - "峫": [ - "ㄒㄧㄝ2", - "ㄧㄝ2" - ], - "峬": [ - "ㄅㄨ1" - ], - "峭": [ - "ㄑㄧㄠ4" - ], - "峮": [ - "ㄑㄩㄣ1" - ], - "峯": [ - "ㄈㄥ1" - ], - "峰": [ - "ㄈㄥ1" - ], - "峱": [ - "ㄋㄠ2" - ], - "峲": [ - "ㄌㄧ3" - ], - "峳": [ - "ㄧㄡ2" - ], - "峴": [ - "ㄒㄧㄢ4" - ], - "峵": [ - "ㄖㄨㄥ2" - ], - "島": [ - "ㄉㄠ3" - ], - "峷": [ - "ㄕㄣ1" - ], - "峸": [ - "ㄔㄥ2" - ], - "峹": [ - "ㄊㄨ2" - ], - "峺": [ - "ㄍㄥ3" - ], - "峻": [ - "ㄐㄩㄣ4" - ], - "峼": [ - "ㄍㄠ4" - ], - "峽": [ - "ㄒㄧㄚ2" - ], - "峾": [ - "ㄧㄣ2" - ], - "峿": [ - "ㄩ3", - "ㄨ2" - ], - "崀": [ - "ㄌㄤ4", - "ㄌㄤ3" - ], - "崁": [ - "ㄎㄢ4" - ], - "崂": [ - "ㄌㄠ2" - ], - "崃": [ - "ㄌㄞ2" - ], - "崄": [ - "ㄒㄧㄢ3" - ], - "崅": [ - "ㄑㄩㄝ4" - ], - "崆": [ - "ㄎㄨㄥ1" - ], - "崇": [ - "ㄔㄨㄥ2" - ], - "崈": [ - "ㄔㄨㄥ2" - ], - "崉": [ - "ㄊㄚ4" - ], - "崊": [ - "ㄌㄧㄣ2" - ], - "崋": [ - "ㄏㄨㄚ4" - ], - "崌": [ - "ㄐㄩ1" - ], - "崍": [ - "ㄌㄞ2" - ], - "崎": [ - "ㄑㄧ2", - "ㄑㄧ3", - "ㄧ1" - ], - "崏": [ - "ㄇㄧㄣ2" - ], - "崐": [ - "ㄎㄨㄣ1" - ], - "崑": [ - "ㄎㄨㄣ1" - ], - "崒": [ - "ㄗㄨ2", - "ㄘㄨㄟ4" - ], - "崓": [ - "ㄍㄨ4" - ], - "崔": [ - "ㄘㄨㄟ1" - ], - "崕": [ - "ㄧㄚ2" - ], - "崖": [ - "ㄧㄚ2" - ], - "崗": [ - "ㄍㄤ3", - "ㄍㄤ1" - ], - "崘": [ - "ㄌㄨㄣ2" - ], - "崙": [ - "ㄌㄨㄣ2" - ], - "崚": [ - "ㄌㄥ2", - "ㄌㄧㄥ2" - ], - "崛": [ - "ㄐㄩㄝ2", - "ㄩ4" - ], - "崜": [ - "ㄉㄨㄛ1", - "ㄉㄨㄛ3" - ], - "崝": [ - "ㄓㄥ1" - ], - "崞": [ - "ㄍㄨㄛ1" - ], - "崟": [ - "ㄧㄣ2" - ], - "崠": [ - "ㄉㄨㄥ1", - "ㄉㄨㄥ4" - ], - "崡": [ - "ㄏㄢ2" - ], - "崢": [ - "ㄓㄥ1" - ], - "崣": [ - "ㄨㄟ3" - ], - "崤": [ - "ㄒㄧㄠ2", - "ㄧㄠ2" - ], - "崥": [ - "ㄆㄧ2", - "ㄅㄧ3" - ], - "崦": [ - "ㄧㄢ1" - ], - "崧": [ - "ㄙㄨㄥ1" - ], - "崨": [ - "ㄐㄧㄝ2" - ], - "崩": [ - "ㄅㄥ1" - ], - "崪": [ - "ㄗㄨ2" - ], - "崫": [ - "ㄎㄨ1", - "ㄐㄩㄝ2" - ], - "崬": [ - "ㄉㄨㄥ1" - ], - "崭": [ - "ㄓㄢ3" - ], - "崮": [ - "ㄍㄨ4" - ], - "崯": [ - "ㄧㄣ2" - ], - "崰": [ - "ㄗ1" - ], - "崱": [ - "ㄗㄜ4" - ], - "崲": [ - "ㄏㄨㄤ2" - ], - "崳": [ - "ㄩ2" - ], - "崴": [ - "ㄨㄞ3", - "ㄨㄟ1", - "ㄨㄟ3" - ], - "崵": [ - "ㄧㄤ2", - "ㄉㄤ4" - ], - "崶": [ - "ㄈㄥ1" - ], - "崷": [ - "ㄑㄧㄡ2" - ], - "崸": [ - "ㄧㄤ2" - ], - "崹": [ - "ㄊㄧ2" - ], - "崺": [ - "ㄧ3" - ], - "崻": [ - "ㄓ4" - ], - "崼": [ - "ㄕ4", - "ㄉㄧㄝ2" - ], - "崽": [ - "ㄗㄞ3" - ], - "崾": [ - "ㄧㄠ3", - "ㄧㄠ4" - ], - "崿": [ - "ㄜ4" - ], - "嵀": [ - "ㄓㄨ4" - ], - "嵁": [ - "ㄎㄢ1", - "ㄓㄢ4" - ], - "嵂": [ - "ㄌㄩ4" - ], - "嵃": [ - "ㄧㄢ3", - "ㄧㄢ4" - ], - "嵄": [ - "ㄇㄟ3" - ], - "嵅": [ - "ㄏㄢ2" - ], - "嵆": [ - "ㄐㄧ1" - ], - "嵇": [ - "ㄐㄧ1", - "ㄒㄧ2" - ], - "嵈": [ - "ㄏㄨㄢ4" - ], - "嵉": [ - "ㄊㄧㄥ2" - ], - "嵊": [ - "ㄕㄥ4", - "ㄔㄥ2" - ], - "嵋": [ - "ㄇㄟ2" - ], - "嵌": [ - "ㄑㄧㄢ4", - "ㄏㄢ3", - "ㄎㄢ4" - ], - "嵍": [ - "ㄨ4", - "ㄇㄠ2" - ], - "嵎": [ - "ㄩ2" - ], - "嵏": [ - "ㄗㄨㄥ1" - ], - "嵐": [ - "ㄌㄢ2" - ], - "嵑": [ - "ㄎㄜ3", - "ㄐㄧㄝ2" - ], - "嵒": [ - "ㄧㄢ2", - "ㄋㄧㄝ4" - ], - "嵓": [ - "ㄧㄢ2" - ], - "嵔": [ - "ㄨㄟ3" - ], - "嵕": [ - "ㄗㄨㄥ1" - ], - "嵖": [ - "ㄔㄚ2" - ], - "嵗": [ - "ㄙㄨㄟ4" - ], - "嵘": [ - "ㄖㄨㄥ2" - ], - "嵙": [ - "ㄎㄜ1" - ], - "嵚": [ - "ㄑㄧㄣ1" - ], - "嵛": [ - "ㄩ2" - ], - "嵜": [ - "ㄑㄧ2" - ], - "嵝": [ - "ㄌㄡ3" - ], - "嵞": [ - "ㄊㄨ2" - ], - "嵟": [ - "ㄉㄨㄟ1" - ], - "嵠": [ - "ㄒㄧ1" - ], - "嵡": [ - "ㄨㄥ3" - ], - "嵢": [ - "ㄘㄤ1" - ], - "嵣": [ - "ㄉㄤ4", - "ㄊㄤ2" - ], - "嵤": [ - "ㄖㄨㄥ2", - "ㄧㄥ2" - ], - "嵥": [ - "ㄐㄧㄝ2" - ], - "嵦": [ - "ㄎㄞ3", - "ㄞ2" - ], - "嵧": [ - "ㄌㄧㄡ2" - ], - "嵨": [ - "ㄨ4" - ], - "嵩": [ - "ㄙㄨㄥ1" - ], - "嵪": [ - "ㄑㄧㄠ1", - "ㄎㄠ1" - ], - "嵫": [ - "ㄗ1" - ], - "嵬": [ - "ㄨㄟ2", - "ㄨㄟ3" - ], - "嵭": [ - "ㄅㄥ1" - ], - "嵮": [ - "ㄉㄧㄢ1" - ], - "嵯": [ - "ㄘㄨㄛ2", - "ㄘ1" - ], - "嵰": [ - "ㄑㄧㄢ3" - ], - "嵱": [ - "ㄩㄥ3", - "ㄩㄥ2" - ], - "嵲": [ - "ㄋㄧㄝ4" - ], - "嵳": [ - "ㄘㄨㄛ2" - ], - "嵴": [ - "ㄐㄧ3", - "ㄐㄧ2" - ], - "嵵": [ - "ㄕ2" - ], - "嵶": [ - "ㄖㄨㄛ4" - ], - "嵷": [ - "ㄙㄨㄥ3" - ], - "嵸": [ - "ㄗㄨㄥ1" - ], - "嵹": [ - "ㄐㄧㄤ4" - ], - "嵺": [ - "ㄌㄧㄠ2", - "ㄐㄧㄠ1" - ], - "嵻": [ - "ㄎㄤ1" - ], - "嵼": [ - "ㄔㄢ3" - ], - "嵽": [ - "ㄉㄧㄝ2", - "ㄉㄧ4" - ], - "嵾": [ - "ㄘㄣ1", - "ㄘㄢ1" - ], - "嵿": [ - "ㄉㄧㄥ3" - ], - "嶀": [ - "ㄊㄨ1" - ], - "嶁": [ - "ㄌㄡ3" - ], - "嶂": [ - "ㄓㄤ4" - ], - "嶃": [ - "ㄓㄢ3" - ], - "嶄": [ - "ㄓㄢ3", - "ㄔㄢ2" - ], - "嶅": [ - "ㄠ2", - "ㄠ4" - ], - "嶆": [ - "ㄘㄠ2" - ], - "嶇": [ - "ㄑㄩ1" - ], - "嶈": [ - "ㄑㄧㄤ1" - ], - "嶉": [ - "ㄘㄨㄟ1", - "ㄗㄨㄟ3" - ], - "嶊": [ - "ㄗㄨㄟ3" - ], - "嶋": [ - "ㄉㄠ3" - ], - "嶌": [ - "ㄉㄠ3" - ], - "嶍": [ - "ㄒㄧ2" - ], - "嶎": [ - "ㄩ4" - ], - "嶏": [ - "ㄆㄟ4", - "ㄆㄧ3" - ], - "嶐": [ - "ㄌㄨㄥ2" - ], - "嶑": [ - "ㄒㄧㄤ4" - ], - "嶒": [ - "ㄘㄥ2", - "ㄓㄥ1" - ], - "嶓": [ - "ㄅㄛ1" - ], - "嶔": [ - "ㄑㄧㄣ1" - ], - "嶕": [ - "ㄐㄧㄠ1" - ], - "嶖": [ - "ㄧㄢ1" - ], - "嶗": [ - "ㄌㄠ2" - ], - "嶘": [ - "ㄓㄢ4" - ], - "嶙": [ - "ㄌㄧㄣ2", - "ㄌㄧㄣ3" - ], - "嶚": [ - "ㄌㄧㄠ2" - ], - "嶛": [ - "ㄌㄧㄠ2" - ], - "嶜": [ - "ㄐㄧㄣ1", - "ㄑㄧㄣ2" - ], - "嶝": [ - "ㄉㄥ4" - ], - "嶞": [ - "ㄉㄨㄛ4" - ], - "嶟": [ - "ㄗㄨㄣ1" - ], - "嶠": [ - "ㄐㄧㄠ4", - "ㄑㄧㄠ2" - ], - "嶡": [ - "ㄍㄨㄟ4", - "ㄐㄩㄝ2" - ], - "嶢": [ - "ㄧㄠ2" - ], - "嶣": [ - "ㄐㄧㄠ1" - ], - "嶤": [ - "ㄧㄠ2" - ], - "嶥": [ - "ㄐㄩㄝ2" - ], - "嶦": [ - "ㄓㄢ1", - "ㄕㄢ4" - ], - "嶧": [ - "ㄧ4" - ], - "嶨": [ - "ㄒㄩㄝ2" - ], - "嶩": [ - "ㄋㄠ2" - ], - "嶪": [ - "ㄧㄝ4" - ], - "嶫": [ - "ㄧㄝ4" - ], - "嶬": [ - "ㄧ2", - "ㄧ3" - ], - "嶭": [ - "ㄋㄧㄝ4" - ], - "嶮": [ - "ㄒㄧㄢ3", - "ㄧㄢ3" - ], - "嶯": [ - "ㄐㄧ2" - ], - "嶰": [ - "ㄒㄧㄝ4", - "ㄐㄧㄝ4" - ], - "嶱": [ - "ㄎㄜ3" - ], - "嶲": [ - "ㄒㄧ1" - ], - "嶳": [ - "ㄉㄧ4" - ], - "嶴": [ - "ㄠ4" - ], - "嶵": [ - "ㄗㄨㄟ3" - ], - "嶶": [ - "ㄨㄟ1" - ], - "嶷": [ - "ㄧ2", - "ㄋㄧ4" - ], - "嶸": [ - "ㄖㄨㄥ2" - ], - "嶹": [ - "ㄉㄠ3" - ], - "嶺": [ - "ㄌㄧㄥ3" - ], - "嶻": [ - "ㄐㄧㄝ2" - ], - "嶼": [ - "ㄩ3", - "ㄒㄩ4" - ], - "嶽": [ - "ㄩㄝ4" - ], - "嶾": [ - "ㄧㄣ3" - ], - "嶿": [ - "ㄖㄨ5" - ], - "巀": [ - "ㄐㄧㄝ2" - ], - "巁": [ - "ㄌㄧ4", - "ㄌㄧㄝ4" - ], - "巂": [ - "ㄍㄨㄟ1", - "ㄒㄧ1", - "ㄐㄩㄢ4" - ], - "巃": [ - "ㄌㄨㄥ2" - ], - "巄": [ - "ㄌㄨㄥ2" - ], - "巅": [ - "ㄉㄧㄢ1" - ], - "巆": [ - "ㄖㄨㄥ2", - "ㄏㄨㄥ1", - "ㄧㄥ2" - ], - "巇": [ - "ㄒㄧ1" - ], - "巈": [ - "ㄐㄩ2" - ], - "巉": [ - "ㄔㄢ2" - ], - "巊": [ - "ㄧㄥ3" - ], - "巋": [ - "ㄎㄨㄟ1", - "ㄎㄨㄟ4", - "ㄨㄟ3" - ], - "巌": [ - "ㄧㄢ2" - ], - "巍": [ - "ㄨㄟ1" - ], - "巎": [ - "ㄋㄠ2" - ], - "巏": [ - "ㄑㄩㄢ2" - ], - "巐": [ - "ㄔㄠ3" - ], - "巑": [ - "ㄘㄨㄢ2" - ], - "巒": [ - "ㄌㄨㄢ2" - ], - "巓": [ - "ㄉㄧㄢ1" - ], - "巔": [ - "ㄉㄧㄢ1" - ], - "巕": [ - "ㄋㄧㄝ4" - ], - "巖": [ - "ㄧㄢ2" - ], - "巗": [ - "ㄧㄢ2" - ], - "巘": [ - "ㄧㄢ3" - ], - "巙": [ - "ㄎㄨㄟ2", - "ㄋㄠ2" - ], - "巚": [ - "ㄧㄢ3" - ], - "巛": [ - "ㄔㄨㄢ1", - "ㄕㄨㄣ4" - ], - "巜": [ - "ㄎㄨㄞ4", - "ㄏㄨㄢ1" - ], - "川": [ - "ㄔㄨㄢ1" - ], - "州": [ - "ㄓㄡ1" - ], - "巟": [ - "ㄏㄨㄤ1" - ], - "巠": [ - "ㄐㄧㄥ1", - "ㄒㄧㄥ2" - ], - "巡": [ - "ㄒㄩㄣ2", - "ㄧㄢ2", - "ㄕㄨㄣ4" - ], - "巢": [ - "ㄔㄠ2", - "ㄔㄠ4" - ], - "巣": [ - "ㄔㄠ2" - ], - "巤": [ - "ㄌㄧㄝ4" - ], - "工": [ - "ㄍㄨㄥ1" - ], - "左": [ - "ㄗㄨㄛ3" - ], - "巧": [ - "ㄑㄧㄠ3" - ], - "巨": [ - "ㄐㄩ4", - "ㄑㄩ2" - ], - "巩": [ - "ㄍㄨㄥ3" - ], - "巪": [ - "ㄐㄩ4" - ], - "巫": [ - "ㄨ1" - ], - "巬": [ - "ㄆㄨ5" - ], - "巭": [ - "ㄆㄨ5" - ], - "差": [ - "ㄔㄚ4", - "ㄔㄚ1", - "ㄔㄞ1", - "ㄘ1", - "ㄔㄞ4", - "ㄘㄨㄛ1", - "ㄐㄧㄝ1" - ], - "巯": [ - "ㄑㄧㄡ2" - ], - "巰": [ - "ㄑㄧㄡ2" - ], - "己": [ - "ㄐㄧ3", - "ㄑㄧ3" - ], - "已": [ - "ㄧ3", - "ㄙ4" - ], - "巳": [ - "ㄙ4", - "ㄧ3" - ], - "巴": [ - "ㄅㄚ1" - ], - "巵": [ - "ㄓ1" - ], - "巶": [ - "ㄓㄠ1" - ], - "巷": [ - "ㄒㄧㄤ4", - "ㄏㄤ4" - ], - "巸": [ - "ㄧ2" - ], - "巹": [ - "ㄐㄧㄣ3" - ], - "巺": [ - "ㄒㄩㄣ4" - ], - "巻": [ - "ㄐㄩㄢ4" - ], - "巼": [ - "ㄅㄚ1" - ], - "巽": [ - "ㄒㄩㄣ4", - "ㄓㄨㄢ4" - ], - "巾": [ - "ㄐㄧㄣ1" - ], - "巿": [ - "ㄈㄨ2", - "ㄆㄛ2" - ], - "帀": [ - "ㄗㄚ1" - ], - "币": [ - "ㄅㄧ4", - "ㄧㄣ4" - ], - "市": [ - "ㄕ4", - "ㄈㄨ2" - ], - "布": [ - "ㄅㄨ4" - ], - "帄": [ - "ㄉㄧㄥ1" - ], - "帅": [ - "ㄕㄨㄞ4" - ], - "帆": [ - "ㄈㄢ1", - "ㄈㄢ2", - "ㄈㄢ4" - ], - "帇": [ - "ㄋㄧㄝ4" - ], - "师": [ - "ㄕ1" - ], - "帉": [ - "ㄈㄣ1" - ], - "帊": [ - "ㄆㄚ4", - "ㄆㄚ1" - ], - "帋": [ - "ㄓ3" - ], - "希": [ - "ㄒㄧ1" - ], - "帍": [ - "ㄏㄨ4" - ], - "帎": [ - "ㄉㄢ4" - ], - "帏": [ - "ㄨㄟ2" - ], - "帐": [ - "ㄓㄤ4" - ], - "帑": [ - "ㄊㄤ3", - "ㄋㄨ2" - ], - "帒": [ - "ㄉㄞ4" - ], - "帓": [ - "ㄇㄛ4", - "ㄨㄚ4" - ], - "帔": [ - "ㄆㄟ4", - "ㄆㄧ1" - ], - "帕": [ - "ㄆㄚ4", - "ㄇㄛ4" - ], - "帖": [ - "ㄊㄧㄝ1", - "ㄊㄧㄝ3", - "ㄊㄧㄝ4" - ], - "帗": [ - "ㄅㄛ1", - "ㄈㄨ2" - ], - "帘": [ - "ㄌㄧㄢ2", - "ㄔㄣ2" - ], - "帙": [ - "ㄓ4" - ], - "帚": [ - "ㄓㄡ3" - ], - "帛": [ - "ㄅㄛ2" - ], - "帜": [ - "ㄓ4" - ], - "帝": [ - "ㄉㄧ4" - ], - "帞": [ - "ㄇㄛ4" - ], - "帟": [ - "ㄧ4" - ], - "帠": [ - "ㄧ4" - ], - "帡": [ - "ㄆㄧㄥ2" - ], - "帢": [ - "ㄑㄧㄚ4" - ], - "帣": [ - "ㄐㄩㄢ3", - "ㄐㄩㄢ4" - ], - "帤": [ - "ㄖㄨ2" - ], - "帥": [ - "ㄕㄨㄞ4" - ], - "带": [ - "ㄉㄞ4" - ], - "帧": [ - "ㄓㄣ1", - "ㄓㄥ4" - ], - "帨": [ - "ㄕㄨㄟ4" - ], - "帩": [ - "ㄑㄧㄠ4" - ], - "帪": [ - "ㄓㄣ1" - ], - "師": [ - "ㄕ1" - ], - "帬": [ - "ㄑㄩㄣ2" - ], - "席": [ - "ㄒㄧ2" - ], - "帮": [ - "ㄅㄤ1" - ], - "帯": [ - "ㄉㄞ4" - ], - "帰": [ - "ㄍㄨㄟ1" - ], - "帱": [ - "ㄔㄡ2", - "ㄉㄠ4" - ], - "帲": [ - "ㄆㄧㄥ2" - ], - "帳": [ - "ㄓㄤ4" - ], - "帴": [ - "ㄙㄢ4", - "ㄐㄧㄢ3", - "ㄐㄧㄢ1" - ], - "帵": [ - "ㄨㄢ1" - ], - "帶": [ - "ㄉㄞ4" - ], - "帷": [ - "ㄨㄟ2" - ], - "常": [ - "ㄔㄤ2" - ], - "帹": [ - "ㄕㄚ4", - "ㄑㄧㄝ4" - ], - "帺": [ - "ㄑㄧ2", - "ㄐㄧ4" - ], - "帻": [ - "ㄗㄜ2" - ], - "帼": [ - "ㄍㄨㄛ2" - ], - "帽": [ - "ㄇㄠ4" - ], - "帾": [ - "ㄉㄨ3" - ], - "帿": [ - "ㄏㄡ2" - ], - "幀": [ - "ㄓㄥ4" - ], - "幁": [ - "ㄒㄩ1" - ], - "幂": [ - "ㄇㄧ4" - ], - "幃": [ - "ㄨㄟ2" - ], - "幄": [ - "ㄨㄛ4" - ], - "幅": [ - "ㄈㄨ2", - "ㄅㄧ1" - ], - "幆": [ - "ㄧ4", - "ㄎㄞ4" - ], - "幇": [ - "ㄅㄤ1" - ], - "幈": [ - "ㄆㄧㄥ2" - ], - "幉": [ - "ㄉㄧㄝ2" - ], - "幊": [ - "ㄍㄨㄥ1" - ], - "幋": [ - "ㄆㄢ2" - ], - "幌": [ - "ㄏㄨㄤ3" - ], - "幍": [ - "ㄊㄠ1" - ], - "幎": [ - "ㄇㄧ4" - ], - "幏": [ - "ㄐㄧㄚ4" - ], - "幐": [ - "ㄊㄥ2" - ], - "幑": [ - "ㄏㄨㄟ1" - ], - "幒": [ - "ㄓㄨㄥ1" - ], - "幓": [ - "ㄕㄢ1", - "ㄕㄣ1", - "ㄑㄧㄠ1" - ], - "幔": [ - "ㄇㄢ4" - ], - "幕": [ - "ㄇㄨ4", - "ㄇㄢ4" - ], - "幖": [ - "ㄅㄧㄠ1" - ], - "幗": [ - "ㄍㄨㄛ2" - ], - "幘": [ - "ㄗㄜ2", - "ㄘㄜ4" - ], - "幙": [ - "ㄇㄨ4" - ], - "幚": [ - "ㄅㄤ1" - ], - "幛": [ - "ㄓㄤ4" - ], - "幜": [ - "ㄐㄧㄥ3" - ], - "幝": [ - "ㄔㄢ3", - "ㄔㄢ4" - ], - "幞": [ - "ㄈㄨ2" - ], - "幟": [ - "ㄓ4" - ], - "幠": [ - "ㄏㄨ1", - "ㄨ2" - ], - "幡": [ - "ㄈㄢ1" - ], - "幢": [ - "ㄔㄨㄤ2", - "ㄓㄨㄤ4" - ], - "幣": [ - "ㄅㄧ4" - ], - "幤": [ - "ㄅㄧ4" - ], - "幥": [ - "ㄓㄤ3" - ], - "幦": [ - "ㄇㄧ4" - ], - "幧": [ - "ㄑㄧㄠ1" - ], - "幨": [ - "ㄔㄢ1", - "ㄔㄢ4" - ], - "幩": [ - "ㄈㄣ2", - "ㄈㄣ4" - ], - "幪": [ - "ㄇㄥ2", - "ㄇㄥ3" - ], - "幫": [ - "ㄅㄤ1" - ], - "幬": [ - "ㄔㄡ2", - "ㄉㄠ4" - ], - "幭": [ - "ㄇㄧㄝ4" - ], - "幮": [ - "ㄔㄨ2" - ], - "幯": [ - "ㄐㄧㄝ2" - ], - "幰": [ - "ㄒㄧㄢ3" - ], - "幱": [ - "ㄌㄢ2" - ], - "干": [ - "ㄍㄢ4", - "ㄍㄢ1", - "ㄢ4" - ], - "平": [ - "ㄆㄧㄥ2", - "ㄆㄧㄢ2", - "ㄅㄧㄥ4", - "ㄅㄥ1" - ], - "年": [ - "ㄋㄧㄢ2", - "ㄋㄧㄥ4" - ], - "幵": [ - "ㄐㄧㄢ1", - "ㄑㄧㄢ1" - ], - "并": [ - "ㄅㄧㄥ4", - "ㄅㄧㄥ1" - ], - "幷": [ - "ㄅㄧㄥ4", - "ㄅㄧㄥ1" - ], - "幸": [ - "ㄒㄧㄥ4", - "ㄋㄧㄝ4" - ], - "幹": [ - "ㄍㄢ4", - "ㄍㄢ1", - "ㄏㄢ2", - "ㄍㄨㄢ3" - ], - "幺": [ - "ㄧㄠ1", - "ㄇㄧ4" - ], - "幻": [ - "ㄏㄨㄢ4" - ], - "幼": [ - "ㄧㄡ4", - "ㄧㄠ4" - ], - "幽": [ - "ㄧㄡ1" - ], - "幾": [ - "ㄐㄧ3", - "ㄐㄧ1", - "ㄐㄧ4", - "ㄑㄧ2" - ], - "广": [ - "ㄍㄨㄤ3", - "ㄧㄢ3", - "ㄢ1" - ], - "庀": [ - "ㄆㄧ3" - ], - "庁": [ - "ㄊㄧㄥ1" - ], - "庂": [ - "ㄗㄜ4" - ], - "広": [ - "ㄍㄨㄤ3" - ], - "庄": [ - "ㄓㄨㄤ1", - "ㄆㄥ2" - ], - "庅": [ - "ㄇㄛ2" - ], - "庆": [ - "ㄑㄧㄥ4" - ], - "庇": [ - "ㄅㄧ4", - "ㄆㄧ2", - "ㄆㄧ3" - ], - "庈": [ - "ㄑㄧㄣ2" - ], - "庉": [ - "ㄉㄨㄣ4", - "ㄊㄨㄣ2" - ], - "床": [ - "ㄔㄨㄤ2" - ], - "庋": [ - "ㄍㄨㄟ3", - "ㄍㄨㄟ4" - ], - "庌": [ - "ㄧㄚ3", - "ㄧㄚ2" - ], - "庍": [ - "ㄅㄞ4", - "ㄒㄧㄣ4", - "ㄊㄧㄥ1" - ], - "庎": [ - "ㄐㄧㄝ4" - ], - "序": [ - "ㄒㄩ4" - ], - "庐": [ - "ㄌㄨ2" - ], - "庑": [ - "ㄨ3" - ], - "庒": [ - "ㄓㄨㄤ1" - ], - "库": [ - "ㄎㄨ4" - ], - "应": [ - "ㄧㄥ1", - "ㄧㄥ4" - ], - "底": [ - "ㄉㄧ3", - "ㄉㄜ5" - ], - "庖": [ - "ㄆㄠ2" - ], - "店": [ - "ㄉㄧㄢ4" - ], - "庘": [ - "ㄧㄚ1" - ], - "庙": [ - "ㄇㄧㄠ4" - ], - "庚": [ - "ㄍㄥ1" - ], - "庛": [ - "ㄘ4" - ], - "府": [ - "ㄈㄨ3" - ], - "庝": [ - "ㄊㄨㄥ2" - ], - "庞": [ - "ㄆㄤ2" - ], - "废": [ - "ㄈㄟ4" - ], - "庠": [ - "ㄒㄧㄤ2" - ], - "庡": [ - "ㄧ3" - ], - "庢": [ - "ㄓ4" - ], - "庣": [ - "ㄊㄧㄠ1" - ], - "庤": [ - "ㄓ4" - ], - "庥": [ - "ㄒㄧㄡ1" - ], - "度": [ - "ㄉㄨ4", - "ㄉㄨㄛ2", - "ㄓㄞ2" - ], - "座": [ - "ㄗㄨㄛ4" - ], - "庨": [ - "ㄒㄧㄠ1" - ], - "庩": [ - "ㄊㄨ2" - ], - "庪": [ - "ㄍㄨㄟ3" - ], - "庫": [ - "ㄎㄨ4" - ], - "庬": [ - "ㄇㄤ2", - "ㄇㄥ2" - ], - "庭": [ - "ㄊㄧㄥ2" - ], - "庮": [ - "ㄧㄡ3", - "ㄧㄡ2" - ], - "庯": [ - "ㄅㄨ1" - ], - "庰": [ - "ㄅㄧㄥ4", - "ㄅㄧㄥ3" - ], - "庱": [ - "ㄔㄥ3" - ], - "庲": [ - "ㄌㄞ2" - ], - "庳": [ - "ㄅㄧ4", - "ㄆㄧ2" - ], - "庴": [ - "ㄐㄧ2", - "ㄐㄧ1" - ], - "庵": [ - "ㄢ1", - "ㄧㄢ3", - "ㄜ4" - ], - "庶": [ - "ㄕㄨ4", - "ㄓㄨ4", - "ㄓㄜ1" - ], - "康": [ - "ㄎㄤ1", - "ㄎㄤ4" - ], - "庸": [ - "ㄩㄥ1", - "ㄩㄥ2" - ], - "庹": [ - "ㄊㄨㄛ3" - ], - "庺": [ - "ㄙㄨㄥ1" - ], - "庻": [ - "ㄕㄨ4" - ], - "庼": [ - "ㄑㄧㄥ3" - ], - "庽": [ - "ㄩ4" - ], - "庾": [ - "ㄩ3", - "ㄩ2" - ], - "庿": [ - "ㄇㄧㄠ4" - ], - "廀": [ - "ㄙㄡ1" - ], - "廁": [ - "ㄘㄜ4", - "ㄘ4", - "ㄗㄜ4", - "ㄙ5" - ], - "廂": [ - "ㄒㄧㄤ1" - ], - "廃": [ - "ㄈㄟ4" - ], - "廄": [ - "ㄐㄧㄡ4" - ], - "廅": [ - "ㄜ4" - ], - "廆": [ - "ㄍㄨㄟ1", - "ㄨㄟ3", - "ㄏㄨㄟ4" - ], - "廇": [ - "ㄌㄧㄡ4" - ], - "廈": [ - "ㄕㄚ4", - "ㄒㄧㄚ4" - ], - "廉": [ - "ㄌㄧㄢ2" - ], - "廊": [ - "ㄌㄤ2" - ], - "廋": [ - "ㄙㄡ1" - ], - "廌": [ - "ㄓ4" - ], - "廍": [ - "ㄅㄨ4" - ], - "廎": [ - "ㄑㄧㄥ3", - "ㄑㄧㄥ4", - "ㄑㄧㄥ1" - ], - "廏": [ - "ㄐㄧㄡ4" - ], - "廐": [ - "ㄐㄧㄡ4" - ], - "廑": [ - "ㄐㄧㄣ3", - "ㄑㄧㄣ2" - ], - "廒": [ - "ㄠ2" - ], - "廓": [ - "ㄎㄨㄛ4" - ], - "廔": [ - "ㄌㄡ2" - ], - "廕": [ - "ㄧㄣ4" - ], - "廖": [ - "ㄌㄧㄠ4", - "ㄌㄧㄠ2" - ], - "廗": [ - "ㄉㄞ4" - ], - "廘": [ - "ㄌㄨ4" - ], - "廙": [ - "ㄧ4" - ], - "廚": [ - "ㄔㄨ2" - ], - "廛": [ - "ㄔㄢ2" - ], - "廜": [ - "ㄊㄨ2" - ], - "廝": [ - "ㄙ1" - ], - "廞": [ - "ㄒㄧㄣ1", - "ㄑㄧㄢ4" - ], - "廟": [ - "ㄇㄧㄠ4" - ], - "廠": [ - "ㄔㄤ3" - ], - "廡": [ - "ㄨ3", - "ㄨ2" - ], - "廢": [ - "ㄈㄟ4" - ], - "廣": [ - "ㄍㄨㄤ3", - "ㄍㄨㄤ4", - "ㄎㄨㄤ4", - "ㄍㄨㄤ1" - ], - "廤": [ - "ㄎㄨ4" - ], - "廥": [ - "ㄎㄨㄞ4" - ], - "廦": [ - "ㄅㄧ4" - ], - "廧": [ - "ㄑㄧㄤ2", - "ㄙㄜ4" - ], - "廨": [ - "ㄒㄧㄝ4" - ], - "廩": [ - "ㄌㄧㄣ3", - "ㄌㄢ3" - ], - "廪": [ - "ㄌㄧㄣ3" - ], - "廫": [ - "ㄌㄧㄠ2" - ], - "廬": [ - "ㄌㄨ2", - "ㄌㄩ2" - ], - "廭": [ - "ㄐㄧ4" - ], - "廮": [ - "ㄧㄥ3" - ], - "廯": [ - "ㄒㄧㄢ1" - ], - "廰": [ - "ㄊㄧㄥ1" - ], - "廱": [ - "ㄩㄥ1" - ], - "廲": [ - "ㄌㄧ2" - ], - "廳": [ - "ㄊㄧㄥ1" - ], - "廴": [ - "ㄧㄣ3", - "ㄧㄣ4" - ], - "廵": [ - "ㄒㄩㄣ2" - ], - "延": [ - "ㄧㄢ2" - ], - "廷": [ - "ㄊㄧㄥ2" - ], - "廸": [ - "ㄉㄧ2" - ], - "廹": [ - "ㄆㄞ3", - "ㄆㄛ4" - ], - "建": [ - "ㄐㄧㄢ4" - ], - "廻": [ - "ㄏㄨㄟ2" - ], - "廼": [ - "ㄋㄞ3" - ], - "廽": [ - "ㄏㄨㄟ2" - ], - "廾": [ - "ㄍㄨㄥ3" - ], - "廿": [ - "ㄋㄧㄢ4" - ], - "开": [ - "ㄎㄞ1" - ], - "弁": [ - "ㄅㄧㄢ4", - "ㄆㄢ2" - ], - "异": [ - "ㄧ4", - "ㄧ2" - ], - "弃": [ - "ㄑㄧ4" - ], - "弄": [ - "ㄋㄨㄥ4", - "ㄌㄨㄥ4" - ], - "弅": [ - "ㄈㄣ4" - ], - "弆": [ - "ㄐㄩ3", - "ㄑㄩ3" - ], - "弇": [ - "ㄧㄢ3", - "ㄧㄢ1", - "ㄋㄢ2" - ], - "弈": [ - "ㄧ4" - ], - "弉": [ - "ㄗㄤ4" - ], - "弊": [ - "ㄅㄧ4" - ], - "弋": [ - "ㄧ4" - ], - "弌": [ - "ㄧ1" - ], - "弍": [ - "ㄦ4" - ], - "弎": [ - "ㄙㄢ1" - ], - "式": [ - "ㄕ4", - "ㄊㄜ4" - ], - "弐": [ - "ㄦ4" - ], - "弑": [ - "ㄕ4" - ], - "弒": [ - "ㄕ4" - ], - "弓": [ - "ㄍㄨㄥ1" - ], - "弔": [ - "ㄉㄧㄠ4", - "ㄉㄧ4" - ], - "引": [ - "ㄧㄣ3" - ], - "弖": [ - "ㄏㄨ4" - ], - "弗": [ - "ㄈㄨ2" - ], - "弘": [ - "ㄏㄨㄥ2" - ], - "弙": [ - "ㄨ1" - ], - "弚": [ - "ㄊㄨㄟ2" - ], - "弛": [ - "ㄔ2" - ], - "弜": [ - "ㄐㄧㄤ4" - ], - "弝": [ - "ㄅㄚ4" - ], - "弞": [ - "ㄕㄣ3" - ], - "弟": [ - "ㄉㄧ4", - "ㄊㄧ4", - "ㄊㄨㄟ2" - ], - "张": [ - "ㄓㄤ1" - ], - "弡": [ - "ㄐㄩㄝ2", - "ㄓㄤ1" - ], - "弢": [ - "ㄊㄠ1" - ], - "弣": [ - "ㄈㄨ3" - ], - "弤": [ - "ㄉㄧ3" - ], - "弥": [ - "ㄇㄧ2" - ], - "弦": [ - "ㄒㄧㄢ2" - ], - "弧": [ - "ㄏㄨ2" - ], - "弨": [ - "ㄔㄠ1" - ], - "弩": [ - "ㄋㄨ3" - ], - "弪": [ - "ㄐㄧㄥ4" - ], - "弫": [ - "ㄓㄣ3" - ], - "弬": [ - "ㄧ2" - ], - "弭": [ - "ㄇㄧ3" - ], - "弮": [ - "ㄑㄩㄢ1", - "ㄐㄩㄢ4" - ], - "弯": [ - "ㄨㄢ1" - ], - "弰": [ - "ㄕㄠ1" - ], - "弱": [ - "ㄖㄨㄛ4" - ], - "弲": [ - "ㄒㄩㄢ1", - "ㄩㄢ1" - ], - "弳": [ - "ㄐㄧㄥ4" - ], - "弴": [ - "ㄉㄧㄠ1" - ], - "張": [ - "ㄓㄤ1", - "ㄓㄤ4" - ], - "弶": [ - "ㄐㄧㄤ4" - ], - "強": [ - "ㄑㄧㄤ2", - "ㄐㄧㄤ4", - "ㄑㄧㄤ3" - ], - "弸": [ - "ㄆㄥ2", - "ㄆㄥ1" - ], - "弹": [ - "ㄉㄢ4", - "ㄊㄢ2" - ], - "强": [ - "ㄑㄧㄤ2", - "ㄐㄧㄤ4", - "ㄑㄧㄤ3" - ], - "弻": [ - "ㄅㄧ4" - ], - "弼": [ - "ㄅㄧ4" - ], - "弽": [ - "ㄕㄜ4" - ], - "弾": [ - "ㄉㄢ4" - ], - "弿": [ - "ㄐㄧㄢ3" - ], - "彀": [ - "ㄍㄡ4", - "ㄎㄡ1" - ], - "彁": [ - "ㄍㄜ1" - ], - "彂": [ - "ㄈㄚ1" - ], - "彃": [ - "ㄅㄧ4" - ], - "彄": [ - "ㄎㄡ1" - ], - "彅": [ - "ㄐㄧㄢ3" - ], - "彆": [ - "ㄅㄧㄝ4" - ], - "彇": [ - "ㄒㄧㄠ1" - ], - "彈": [ - "ㄉㄢ4", - "ㄊㄢ2" - ], - "彉": [ - "ㄍㄨㄛ1" - ], - "彊": [ - "ㄐㄧㄤ4", - "ㄑㄧㄤ2", - "ㄑㄧㄤ3", - "ㄐㄧㄤ1" - ], - "彋": [ - "ㄏㄨㄥ2" - ], - "彌": [ - "ㄇㄧ2", - "ㄇㄧ3", - "ㄋㄧ2" - ], - "彍": [ - "ㄍㄨㄛ1" - ], - "彎": [ - "ㄨㄢ1" - ], - "彏": [ - "ㄐㄩㄝ2" - ], - "彐": [ - "ㄐㄧ4" - ], - "彑": [ - "ㄐㄧ4" - ], - "归": [ - "ㄍㄨㄟ1" - ], - "当": [ - "ㄉㄤ1", - "ㄉㄤ4" - ], - "彔": [ - "ㄌㄨ4" - ], - "录": [ - "ㄌㄨ4" - ], - "彖": [ - "ㄊㄨㄢ4", - "ㄕ3" - ], - "彗": [ - "ㄏㄨㄟ4", - "ㄙㄨㄟ4" - ], - "彘": [ - "ㄓ4" - ], - "彙": [ - "ㄏㄨㄟ4" - ], - "彚": [ - "ㄏㄨㄟ4" - ], - "彛": [ - "ㄧ2" - ], - "彜": [ - "ㄧ2" - ], - "彝": [ - "ㄧ2" - ], - "彞": [ - "ㄧ2" - ], - "彟": [ - "ㄩㄝ1" - ], - "彠": [ - "ㄩㄝ1" - ], - "彡": [ - "ㄕㄢ1", - "ㄒㄧㄢ3" - ], - "形": [ - "ㄒㄧㄥ2" - ], - "彣": [ - "ㄨㄣ2" - ], - "彤": [ - "ㄊㄨㄥ2" - ], - "彥": [ - "ㄧㄢ4" - ], - "彦": [ - "ㄧㄢ4", - "ㄆㄢ2" - ], - "彧": [ - "ㄩ4" - ], - "彨": [ - "ㄔ1" - ], - "彩": [ - "ㄘㄞ3" - ], - "彪": [ - "ㄅㄧㄠ1" - ], - "彫": [ - "ㄉㄧㄠ1" - ], - "彬": [ - "ㄅㄧㄣ1", - "ㄅㄢ1" - ], - "彭": [ - "ㄆㄥ2", - "ㄆㄤ2", - "ㄅㄤ1", - "ㄆㄥ1" - ], - "彮": [ - "ㄩㄥ3" - ], - "彯": [ - "ㄆㄧㄠ1", - "ㄆㄧㄠ4", - "ㄇㄧㄠ3" - ], - "彰": [ - "ㄓㄤ1" - ], - "影": [ - "ㄧㄥ3" - ], - "彲": [ - "ㄔ1" - ], - "彳": [ - "ㄔ4", - "ㄈㄨ2" - ], - "彴": [ - "ㄓㄨㄛ2", - "ㄅㄛ2" - ], - "彵": [ - "ㄊㄨㄛ3", - "ㄧ2" - ], - "彶": [ - "ㄐㄧ2" - ], - "彷": [ - "ㄆㄤ2", - "ㄈㄤ3", - "ㄈㄤ2" - ], - "彸": [ - "ㄓㄨㄥ1" - ], - "役": [ - "ㄧ4" - ], - "彺": [ - "ㄨㄤ2" - ], - "彻": [ - "ㄔㄜ4" - ], - "彼": [ - "ㄅㄧ3" - ], - "彽": [ - "ㄉㄧ1" - ], - "彾": [ - "ㄌㄧㄥ2", - "ㄌㄧㄥ3" - ], - "彿": [ - "ㄈㄨ2" - ], - "往": [ - "ㄨㄤ3", - "ㄨㄤ4" - ], - "征": [ - "ㄓㄥ1" - ], - "徂": [ - "ㄘㄨ2" - ], - "徃": [ - "ㄨㄤ3" - ], - "径": [ - "ㄐㄧㄥ4" - ], - "待": [ - "ㄉㄞ4", - "ㄉㄞ1" - ], - "徆": [ - "ㄒㄧ1" - ], - "徇": [ - "ㄒㄩㄣ4" - ], - "很": [ - "ㄏㄣ3" - ], - "徉": [ - "ㄧㄤ2" - ], - "徊": [ - "ㄏㄨㄞ2", - "ㄏㄨㄟ2" - ], - "律": [ - "ㄌㄩ4" - ], - "後": [ - "ㄏㄡ4" - ], - "徍": [ - "ㄨㄤ3", - "ㄨㄚ1" - ], - "徎": [ - "ㄔㄥ3", - "ㄓㄥ4" - ], - "徏": [ - "ㄓ4" - ], - "徐": [ - "ㄒㄩ2" - ], - "徑": [ - "ㄐㄧㄥ4", - "ㄐㄧㄥ1" - ], - "徒": [ - "ㄊㄨ2" - ], - "従": [ - "ㄘㄨㄥ2" - ], - "徔": [ - "ㄓ5" - ], - "徕": [ - "ㄌㄞ2", - "ㄌㄞ4" - ], - "徖": [ - "ㄘㄨㄥ2" - ], - "得": [ - "ㄉㄜ2", - "ㄉㄜ5", - "ㄉㄟ3" - ], - "徘": [ - "ㄆㄞ2" - ], - "徙": [ - "ㄒㄧ3", - "ㄙ1" - ], - "徚": [ - "ㄉㄨㄥ1" - ], - "徛": [ - "ㄐㄧ4" - ], - "徜": [ - "ㄔㄤ2" - ], - "徝": [ - "ㄓ4" - ], - "從": [ - "ㄘㄨㄥ2", - "ㄗㄨㄥ4", - "ㄗㄨㄥ1", - "ㄘㄨㄥ1", - "ㄗㄨㄥ3" - ], - "徟": [ - "ㄓㄡ1" - ], - "徠": [ - "ㄌㄞ2", - "ㄌㄞ4" - ], - "御": [ - "ㄩ4", - "ㄧㄚ4" - ], - "徢": [ - "ㄒㄧㄝ4" - ], - "徣": [ - "ㄐㄧㄝ4" - ], - "徤": [ - "ㄐㄧㄢ4" - ], - "徥": [ - "ㄕ4", - "ㄊㄧ3" - ], - "徦": [ - "ㄐㄧㄚ3", - "ㄒㄧㄚ2" - ], - "徧": [ - "ㄅㄧㄢ4", - "ㄆㄧㄢ2", - "ㄆㄧㄢ1" - ], - "徨": [ - "ㄏㄨㄤ2" - ], - "復": [ - "ㄈㄨ4" - ], - "循": [ - "ㄒㄩㄣ2" - ], - "徫": [ - "ㄨㄟ3" - ], - "徬": [ - "ㄆㄤ2", - "ㄅㄤ4" - ], - "徭": [ - "ㄧㄠ2" - ], - "微": [ - "ㄨㄟ1" - ], - "徯": [ - "ㄒㄧ1", - "ㄒㄧ2" - ], - "徰": [ - "ㄓㄥ1" - ], - "徱": [ - "ㄆㄧㄠ4" - ], - "徲": [ - "ㄊㄧ2", - "ㄔ2" - ], - "徳": [ - "ㄉㄜ2" - ], - "徴": [ - "ㄓㄥ1" - ], - "徵": [ - "ㄓㄥ1", - "ㄓ3", - "ㄔㄥ2" - ], - "徶": [ - "ㄅㄧㄝ2" - ], - "德": [ - "ㄉㄜ2" - ], - "徸": [ - "ㄔㄨㄥ1", - "ㄓㄨㄥ1", - "ㄓㄨㄥ3" - ], - "徹": [ - "ㄔㄜ4" - ], - "徺": [ - "ㄐㄧㄠ3" - ], - "徻": [ - "ㄏㄨㄟ4" - ], - "徼": [ - "ㄐㄧㄠ3", - "ㄐㄧㄠ4", - "ㄐㄧㄠ1", - "ㄧㄠ1" - ], - "徽": [ - "ㄏㄨㄟ1" - ], - "徾": [ - "ㄇㄟ2" - ], - "徿": [ - "ㄌㄨㄥ4", - "ㄌㄨㄥ3" - ], - "忀": [ - "ㄒㄧㄤ1", - "ㄖㄤ3" - ], - "忁": [ - "ㄅㄠ4" - ], - "忂": [ - "ㄑㄩ2", - "ㄐㄩ4" - ], - "心": [ - "ㄒㄧㄣ1" - ], - "忄": [ - "ㄒㄧㄣ5" - ], - "必": [ - "ㄅㄧ4" - ], - "忆": [ - "ㄧ4" - ], - "忇": [ - "ㄌㄜ4" - ], - "忈": [ - "ㄖㄣ2" - ], - "忉": [ - "ㄉㄠ1" - ], - "忊": [ - "ㄉㄧㄥ4", - "ㄊㄧㄥ4" - ], - "忋": [ - "ㄍㄞ3" - ], - "忌": [ - "ㄐㄧ4" - ], - "忍": [ - "ㄖㄣ3", - "ㄖㄣ4" - ], - "忎": [ - "ㄖㄣ2" - ], - "忏": [ - "ㄔㄢ4", - "ㄑㄧㄢ3", - "ㄑㄧㄢ1" - ], - "忐": [ - "ㄊㄢ3", - "ㄎㄥ3" - ], - "忑": [ - "ㄊㄜ4", - "ㄉㄠ3" - ], - "忒": [ - "ㄊㄜ4", - "ㄊㄨㄟ1", - "ㄊㄟ1" - ], - "忓": [ - "ㄍㄢ1", - "ㄏㄢ4" - ], - "忔": [ - "ㄑㄧ4", - "ㄧ4" - ], - "忕": [ - "ㄕ4", - "ㄊㄞ4" - ], - "忖": [ - "ㄘㄨㄣ3" - ], - "志": [ - "ㄓ4" - ], - "忘": [ - "ㄨㄤ4", - "ㄨㄤ2" - ], - "忙": [ - "ㄇㄤ2" - ], - "忚": [ - "ㄒㄧ1", - "ㄌㄧㄝ3" - ], - "忛": [ - "ㄈㄢ1" - ], - "応": [ - "ㄧㄥ1" - ], - "忝": [ - "ㄊㄧㄢ3" - ], - "忞": [ - "ㄇㄧㄣ2", - "ㄨㄣ3" - ], - "忟": [ - "ㄨㄣ3" - ], - "忠": [ - "ㄓㄨㄥ1" - ], - "忡": [ - "ㄔㄨㄥ1" - ], - "忢": [ - "ㄨ4" - ], - "忣": [ - "ㄐㄧ2" - ], - "忤": [ - "ㄨ3", - "ㄨ4" - ], - "忥": [ - "ㄒㄧ4" - ], - "忦": [ - "ㄐㄧㄚ2" - ], - "忧": [ - "ㄧㄡ1", - "ㄧㄡ4" - ], - "忨": [ - "ㄨㄢ4", - "ㄨㄢ2" - ], - "忩": [ - "ㄘㄨㄥ1" - ], - "忪": [ - "ㄙㄨㄥ1", - "ㄓㄨㄥ1" - ], - "快": [ - "ㄎㄨㄞ4" - ], - "忬": [ - "ㄩ4", - "ㄕㄨ1" - ], - "忭": [ - "ㄅㄧㄢ4" - ], - "忮": [ - "ㄓ4", - "ㄑㄧ2" - ], - "忯": [ - "ㄑㄧ2", - "ㄕ4" - ], - "忰": [ - "ㄘㄨㄟ4" - ], - "忱": [ - "ㄔㄣ2", - "ㄉㄢ4" - ], - "忲": [ - "ㄊㄞ4" - ], - "忳": [ - "ㄊㄨㄣ2", - "ㄓㄨㄣ1", - "ㄉㄨㄣ4" - ], - "忴": [ - "ㄑㄧㄢ2", - "ㄑㄧㄣ2" - ], - "念": [ - "ㄋㄧㄢ4" - ], - "忶": [ - "ㄏㄨㄣ2" - ], - "忷": [ - "ㄒㄩㄥ1" - ], - "忸": [ - "ㄋㄧㄡ3" - ], - "忹": [ - "ㄎㄨㄤ2", - "ㄨㄤ3" - ], - "忺": [ - "ㄒㄧㄢ1" - ], - "忻": [ - "ㄒㄧㄣ1" - ], - "忼": [ - "ㄎㄤ1", - "ㄏㄤ1", - "ㄏㄤ4" - ], - "忽": [ - "ㄏㄨ1" - ], - "忾": [ - "ㄎㄞ4", - "ㄑㄧ4" - ], - "忿": [ - "ㄈㄣ4" - ], - "怀": [ - "ㄏㄨㄞ2", - "ㄈㄨ4" - ], - "态": [ - "ㄊㄞ4" - ], - "怂": [ - "ㄙㄨㄥ3" - ], - "怃": [ - "ㄨ3" - ], - "怄": [ - "ㄡ4" - ], - "怅": [ - "ㄔㄤ4" - ], - "怆": [ - "ㄔㄨㄤ4" - ], - "怇": [ - "ㄐㄩ4" - ], - "怈": [ - "ㄧ4" - ], - "怉": [ - "ㄅㄠ3", - "ㄅㄠ4" - ], - "怊": [ - "ㄔㄠ1" - ], - "怋": [ - "ㄇㄧㄣ2", - "ㄇㄣ2" - ], - "怌": [ - "ㄆㄟ1" - ], - "怍": [ - "ㄗㄨㄛ4", - "ㄓㄚ4" - ], - "怎": [ - "ㄗㄣ3" - ], - "怏": [ - "ㄧㄤ4", - "ㄧㄤ1" - ], - "怐": [ - "ㄐㄩ4", - "ㄎㄡ4" - ], - "怑": [ - "ㄅㄢ4" - ], - "怒": [ - "ㄋㄨ4" - ], - "怓": [ - "ㄋㄠ2", - "ㄋㄧㄡ2" - ], - "怔": [ - "ㄓㄥ1", - "ㄓㄥ4" - ], - "怕": [ - "ㄆㄚ4", - "ㄅㄛ2" - ], - "怖": [ - "ㄅㄨ4" - ], - "怗": [ - "ㄊㄧㄝ1", - "ㄓㄢ1" - ], - "怘": [ - "ㄏㄨ4", - "ㄍㄨ4" - ], - "怙": [ - "ㄏㄨ4", - "ㄊㄧㄝ1" - ], - "怚": [ - "ㄐㄩ4", - "ㄑㄩ1", - "ㄘㄨ1", - "ㄗㄨ1" - ], - "怛": [ - "ㄉㄚ2", - "ㄉㄢ4" - ], - "怜": [ - "ㄌㄧㄢ2", - "ㄌㄧㄥ2", - "ㄌㄧㄥ3" - ], - "思": [ - "ㄙ1", - "ㄙㄞ1" - ], - "怞": [ - "ㄔㄡ2", - "ㄧㄡ2" - ], - "怟": [ - "ㄉㄧ4" - ], - "怠": [ - "ㄉㄞ4", - "ㄧ2" - ], - "怡": [ - "ㄧ2" - ], - "怢": [ - "ㄊㄨ1", - "ㄉㄧㄝ2", - "ㄊㄨㄟ4" - ], - "怣": [ - "ㄧㄡ2" - ], - "怤": [ - "ㄈㄨ1" - ], - "急": [ - "ㄐㄧ2" - ], - "怦": [ - "ㄆㄥ1" - ], - "性": [ - "ㄒㄧㄥ4" - ], - "怨": [ - "ㄩㄢ4", - "ㄩㄣ4" - ], - "怩": [ - "ㄋㄧ2" - ], - "怪": [ - "ㄍㄨㄞ4" - ], - "怫": [ - "ㄈㄨ2", - "ㄈㄟ4", - "ㄅㄟ4" - ], - "怬": [ - "ㄒㄧ4" - ], - "怭": [ - "ㄅㄧ4" - ], - "怮": [ - "ㄧㄡ1", - "ㄧㄠ4" - ], - "怯": [ - "ㄑㄧㄝ4" - ], - "怰": [ - "ㄒㄩㄢ4" - ], - "怱": [ - "ㄘㄨㄥ1" - ], - "怲": [ - "ㄅㄧㄥ3" - ], - "怳": [ - "ㄏㄨㄤ3" - ], - "怴": [ - "ㄒㄩ4", - "ㄒㄩㄝ4" - ], - "怵": [ - "ㄔㄨ4", - "ㄒㄩ4" - ], - "怶": [ - "ㄅㄧ4", - "ㄆㄧ1" - ], - "怷": [ - "ㄕㄨ4" - ], - "怸": [ - "ㄒㄧ1" - ], - "怹": [ - "ㄊㄢ1" - ], - "怺": [ - "ㄩㄥ3" - ], - "总": [ - "ㄗㄨㄥ3" - ], - "怼": [ - "ㄉㄨㄟ4" - ], - "怽": [ - "ㄇㄛ5" - ], - "怾": [ - "ㄓ3" - ], - "怿": [ - "ㄧ4" - ], - "恀": [ - "ㄕ4" - ], - "恁": [ - "ㄋㄣ4", - "ㄖㄣ4", - "ㄋㄧㄣ2" - ], - "恂": [ - "ㄒㄩㄣ2", - "ㄕㄨㄣ4" - ], - "恃": [ - "ㄕ4", - "ㄓ4" - ], - "恄": [ - "ㄒㄧ4" - ], - "恅": [ - "ㄌㄠ3" - ], - "恆": [ - "ㄏㄥ2", - "ㄍㄥ4" - ], - "恇": [ - "ㄎㄨㄤ1" - ], - "恈": [ - "ㄇㄡ2" - ], - "恉": [ - "ㄓ3" - ], - "恊": [ - "ㄒㄧㄝ2" - ], - "恋": [ - "ㄌㄧㄢ4" - ], - "恌": [ - "ㄊㄧㄠ1", - "ㄧㄠ2" - ], - "恍": [ - "ㄏㄨㄤ3", - "ㄍㄨㄤ1" - ], - "恎": [ - "ㄉㄧㄝ2" - ], - "恏": [ - "ㄏㄠ4" - ], - "恐": [ - "ㄎㄨㄥ3" - ], - "恑": [ - "ㄍㄨㄟ3", - "ㄨㄟ2" - ], - "恒": [ - "ㄏㄥ2" - ], - "恓": [ - "ㄒㄧ1", - "ㄑㄧ1", - "ㄒㄩ4" - ], - "恔": [ - "ㄐㄧㄠ3", - "ㄒㄧㄠ4" - ], - "恕": [ - "ㄕㄨ4" - ], - "恖": [ - "ㄙ1" - ], - "恗": [ - "ㄏㄨ1", - "ㄎㄨㄚ1" - ], - "恘": [ - "ㄑㄧㄡ1" - ], - "恙": [ - "ㄧㄤ4" - ], - "恚": [ - "ㄏㄨㄟ4" - ], - "恛": [ - "ㄏㄨㄟ2" - ], - "恜": [ - "ㄔ4" - ], - "恝": [ - "ㄐㄧㄚ2", - "ㄑㄧ4" - ], - "恞": [ - "ㄧ2" - ], - "恟": [ - "ㄒㄩㄥ1" - ], - "恠": [ - "ㄍㄨㄞ4" - ], - "恡": [ - "ㄌㄧㄣ4" - ], - "恢": [ - "ㄏㄨㄟ1" - ], - "恣": [ - "ㄗ4" - ], - "恤": [ - "ㄒㄩ4" - ], - "恥": [ - "ㄔ3" - ], - "恦": [ - "ㄕㄤ4" - ], - "恧": [ - "ㄋㄩ4" - ], - "恨": [ - "ㄏㄣ4" - ], - "恩": [ - "ㄣ1" - ], - "恪": [ - "ㄎㄜ4" - ], - "恫": [ - "ㄉㄨㄥ4", - "ㄊㄨㄥ1" - ], - "恬": [ - "ㄊㄧㄢ2" - ], - "恭": [ - "ㄍㄨㄥ1" - ], - "恮": [ - "ㄑㄩㄢ1", - "ㄓㄨㄢ1" - ], - "息": [ - "ㄒㄧ1" - ], - "恰": [ - "ㄑㄧㄚ4" - ], - "恱": [ - "ㄩㄝ4" - ], - "恲": [ - "ㄆㄥ1" - ], - "恳": [ - "ㄎㄣ3" - ], - "恴": [ - "ㄉㄜ2" - ], - "恵": [ - "ㄏㄨㄟ4" - ], - "恶": [ - "ㄜ4", - "ㄜ3", - "ㄨ4", - "ㄨ1" - ], - "恷": [ - "ㄒㄧㄠ5" - ], - "恸": [ - "ㄊㄨㄥ4" - ], - "恹": [ - "ㄧㄢ1" - ], - "恺": [ - "ㄎㄞ3" - ], - "恻": [ - "ㄘㄜ4" - ], - "恼": [ - "ㄋㄠ3" - ], - "恽": [ - "ㄩㄣ4" - ], - "恾": [ - "ㄇㄤ2" - ], - "恿": [ - "ㄩㄥ3", - "ㄊㄨㄥ1" - ], - "悀": [ - "ㄩㄥ3" - ], - "悁": [ - "ㄩㄢ1", - "ㄐㄩㄢ4" - ], - "悂": [ - "ㄆㄧ1", - "ㄅㄧ1", - "ㄆㄧ3" - ], - "悃": [ - "ㄎㄨㄣ3" - ], - "悄": [ - "ㄑㄧㄠ1", - "ㄑㄧㄠ3", - "ㄑㄧㄠ4" - ], - "悅": [ - "ㄩㄝ4" - ], - "悆": [ - "ㄩ4", - "ㄕㄨ1" - ], - "悇": [ - "ㄊㄨ2", - "ㄩ2" - ], - "悈": [ - "ㄐㄧㄝ4", - "ㄎㄜ4" - ], - "悉": [ - "ㄒㄧ1" - ], - "悊": [ - "ㄓㄜ2" - ], - "悋": [ - "ㄌㄧㄣ4" - ], - "悌": [ - "ㄊㄧ4" - ], - "悍": [ - "ㄏㄢ4" - ], - "悎": [ - "ㄏㄠ4", - "ㄐㄧㄠ4" - ], - "悏": [ - "ㄑㄧㄝ4" - ], - "悐": [ - "ㄊㄧ4" - ], - "悑": [ - "ㄅㄨ4" - ], - "悒": [ - "ㄧ4" - ], - "悓": [ - "ㄑㄧㄢ4" - ], - "悔": [ - "ㄏㄨㄟ3" - ], - "悕": [ - "ㄒㄧ1" - ], - "悖": [ - "ㄅㄟ4", - "ㄅㄟ3" - ], - "悗": [ - "ㄇㄢ2", - "ㄇㄣ4" - ], - "悘": [ - "ㄧ1", - "ㄧ4" - ], - "悙": [ - "ㄏㄥ1", - "ㄏㄥ4" - ], - "悚": [ - "ㄙㄨㄥ3" - ], - "悛": [ - "ㄑㄩㄢ1", - "ㄒㄩㄣ2" - ], - "悜": [ - "ㄔㄥ3" - ], - "悝": [ - "ㄎㄨㄟ1", - "ㄌㄧ3" - ], - "悞": [ - "ㄨ4" - ], - "悟": [ - "ㄨ4" - ], - "悠": [ - "ㄧㄡ1" - ], - "悡": [ - "ㄌㄧ2" - ], - "悢": [ - "ㄌㄧㄤ4", - "ㄌㄤ3" - ], - "患": [ - "ㄏㄨㄢ4" - ], - "悤": [ - "ㄘㄨㄥ1" - ], - "悥": [ - "ㄧ4" - ], - "悦": [ - "ㄩㄝ4" - ], - "悧": [ - "ㄌㄧ4" - ], - "您": [ - "ㄋㄧㄣ2" - ], - "悩": [ - "ㄋㄠ3" - ], - "悪": [ - "ㄜ4" - ], - "悫": [ - "ㄑㄩㄝ4" - ], - "悬": [ - "ㄒㄩㄢ2" - ], - "悭": [ - "ㄑㄧㄢ1" - ], - "悮": [ - "ㄨ4" - ], - "悯": [ - "ㄇㄧㄣ3" - ], - "悰": [ - "ㄘㄨㄥ2" - ], - "悱": [ - "ㄈㄟ3" - ], - "悲": [ - "ㄅㄟ1" - ], - "悳": [ - "ㄉㄜ2" - ], - "悴": [ - "ㄘㄨㄟ4" - ], - "悵": [ - "ㄔㄤ4" - ], - "悶": [ - "ㄇㄣ4", - "ㄇㄣ1" - ], - "悷": [ - "ㄌㄧ4" - ], - "悸": [ - "ㄐㄧ4" - ], - "悹": [ - "ㄍㄨㄢ4" - ], - "悺": [ - "ㄍㄨㄢ4" - ], - "悻": [ - "ㄒㄧㄥ4" - ], - "悼": [ - "ㄉㄠ4" - ], - "悽": [ - "ㄑㄧ1", - "ㄑㄧ4" - ], - "悾": [ - "ㄎㄨㄥ1", - "ㄎㄨㄥ3" - ], - "悿": [ - "ㄊㄧㄢ3" - ], - "惀": [ - "ㄌㄨㄣ2", - "ㄌㄨㄣ4" - ], - "惁": [ - "ㄒㄧ1" - ], - "惂": [ - "ㄎㄢ3" - ], - "惃": [ - "ㄍㄨㄣ3" - ], - "惄": [ - "ㄋㄧ4" - ], - "情": [ - "ㄑㄧㄥ2" - ], - "惆": [ - "ㄔㄡ2", - "ㄑㄧㄡ1", - "ㄉㄠ1" - ], - "惇": [ - "ㄉㄨㄣ1" - ], - "惈": [ - "ㄍㄨㄛ3" - ], - "惉": [ - "ㄓㄢ1" - ], - "惊": [ - "ㄐㄧㄥ1", - "ㄌㄧㄤ2" - ], - "惋": [ - "ㄨㄢ3" - ], - "惌": [ - "ㄩㄢ1", - "ㄨㄢ3", - "ㄩ4" - ], - "惍": [ - "ㄐㄧㄣ1" - ], - "惎": [ - "ㄐㄧ4" - ], - "惏": [ - "ㄌㄢ2", - "ㄌㄧㄣ2" - ], - "惐": [ - "ㄩ4", - "ㄒㄩ4" - ], - "惑": [ - "ㄏㄨㄛ4" - ], - "惒": [ - "ㄏㄜ2" - ], - "惓": [ - "ㄑㄩㄢ2", - "ㄐㄩㄢ4" - ], - "惔": [ - "ㄊㄢ2", - "ㄉㄢ4" - ], - "惕": [ - "ㄊㄧ4" - ], - "惖": [ - "ㄊㄧ4" - ], - "惗": [ - "ㄋㄧㄝ4" - ], - "惘": [ - "ㄨㄤ3" - ], - "惙": [ - "ㄔㄨㄛ4", - "ㄔㄨㄟ4" - ], - "惚": [ - "ㄏㄨ1" - ], - "惛": [ - "ㄏㄨㄣ1", - "ㄏㄨㄣ3", - "ㄇㄣ4" - ], - "惜": [ - "ㄒㄧ1" - ], - "惝": [ - "ㄔㄤ3", - "ㄊㄤ3" - ], - "惞": [ - "ㄒㄧㄣ1" - ], - "惟": [ - "ㄨㄟ2", - "ㄨㄟ3" - ], - "惠": [ - "ㄏㄨㄟ4" - ], - "惡": [ - "ㄜ4", - "ㄨ4", - "ㄨ1", - "ㄜ3", - "ㄏㄨ1" - ], - "惢": [ - "ㄙㄨㄛ3", - "ㄖㄨㄟ3" - ], - "惣": [ - "ㄗㄨㄥ3" - ], - "惤": [ - "ㄐㄧㄢ1" - ], - "惥": [ - "ㄩㄥ3" - ], - "惦": [ - "ㄉㄧㄢ4" - ], - "惧": [ - "ㄐㄩ4" - ], - "惨": [ - "ㄘㄢ3" - ], - "惩": [ - "ㄔㄥ2" - ], - "惪": [ - "ㄉㄜ2" - ], - "惫": [ - "ㄅㄟ4" - ], - "惬": [ - "ㄑㄧㄝ4" - ], - "惭": [ - "ㄘㄢ2" - ], - "惮": [ - "ㄉㄢ4" - ], - "惯": [ - "ㄍㄨㄢ4" - ], - "惰": [ - "ㄉㄨㄛ4", - "ㄊㄨㄛ2" - ], - "惱": [ - "ㄋㄠ3" - ], - "惲": [ - "ㄩㄣ4" - ], - "想": [ - "ㄒㄧㄤ3" - ], - "惴": [ - "ㄓㄨㄟ4", - "ㄔㄨㄢ3", - "ㄍㄨㄚ4" - ], - "惵": [ - "ㄉㄧㄝ2", - "ㄊㄧㄝ1" - ], - "惶": [ - "ㄏㄨㄤ2" - ], - "惷": [ - "ㄔㄨㄣ3" - ], - "惸": [ - "ㄑㄩㄥ2" - ], - "惹": [ - "ㄖㄜ3", - "ㄖㄨㄛ4" - ], - "惺": [ - "ㄒㄧㄥ1" - ], - "惻": [ - "ㄘㄜ4" - ], - "惼": [ - "ㄅㄧㄢ3" - ], - "惽": [ - "ㄇㄧㄣ3", - "ㄏㄨㄣ1" - ], - "惾": [ - "ㄗㄨㄥ1" - ], - "惿": [ - "ㄊㄧ2", - "ㄕ4" - ], - "愀": [ - "ㄑㄧㄠ3", - "ㄑㄧㄡ4" - ], - "愁": [ - "ㄔㄡ2", - "ㄑㄧㄠ3", - "ㄐㄧㄡ1" - ], - "愂": [ - "ㄅㄟ4" - ], - "愃": [ - "ㄒㄩㄢ1" - ], - "愄": [ - "ㄨㄟ1" - ], - "愅": [ - "ㄍㄜ2" - ], - "愆": [ - "ㄑㄧㄢ1" - ], - "愇": [ - "ㄨㄟ3" - ], - "愈": [ - "ㄩ4" - ], - "愉": [ - "ㄩ2", - "ㄊㄡ1", - "ㄩ3" - ], - "愊": [ - "ㄅㄧ4" - ], - "愋": [ - "ㄒㄩㄢ1" - ], - "愌": [ - "ㄏㄨㄢ4" - ], - "愍": [ - "ㄇㄧㄣ3", - "ㄈㄣ1" - ], - "愎": [ - "ㄅㄧ4" - ], - "意": [ - "ㄧ4", - "ㄧ1" - ], - "愐": [ - "ㄇㄧㄢ3" - ], - "愑": [ - "ㄩㄥ3" - ], - "愒": [ - "ㄎㄞ4", - "ㄑㄧ4", - "ㄏㄜ4" - ], - "愓": [ - "ㄉㄤ4", - "ㄕㄤ1", - "ㄊㄤ2", - "ㄧㄤ2" - ], - "愔": [ - "ㄧㄣ1" - ], - "愕": [ - "ㄜ4" - ], - "愖": [ - "ㄔㄣ2", - "ㄉㄢ1", - "ㄒㄧㄣ4" - ], - "愗": [ - "ㄇㄠ4" - ], - "愘": [ - "ㄑㄧㄚ4", - "ㄑㄧㄚ1", - "ㄎㄜ4" - ], - "愙": [ - "ㄎㄜ4" - ], - "愚": [ - "ㄩ2" - ], - "愛": [ - "ㄞ4" - ], - "愜": [ - "ㄑㄧㄝ4" - ], - "愝": [ - "ㄧㄢ3" - ], - "愞": [ - "ㄋㄨㄛ4" - ], - "感": [ - "ㄍㄢ3", - "ㄏㄢ4" - ], - "愠": [ - "ㄩㄣ4", - "ㄩㄣ3", - "ㄨㄣ3" - ], - "愡": [ - "ㄗㄨㄥ3" - ], - "愢": [ - "ㄙㄞ1", - "ㄙ1", - "ㄙ3" - ], - "愣": [ - "ㄌㄥ4" - ], - "愤": [ - "ㄈㄣ4" - ], - "愥": [ - "ㄧㄥ1" - ], - "愦": [ - "ㄎㄨㄟ4" - ], - "愧": [ - "ㄎㄨㄟ4" - ], - "愨": [ - "ㄑㄩㄝ4" - ], - "愩": [ - "ㄍㄨㄥ1", - "ㄍㄨㄥ4", - "ㄏㄨㄥ3" - ], - "愪": [ - "ㄩㄣ2" - ], - "愫": [ - "ㄙㄨ4" - ], - "愬": [ - "ㄙㄨ4", - "ㄙㄜ4" - ], - "愭": [ - "ㄑㄧ2" - ], - "愮": [ - "ㄧㄠ2", - "ㄧㄠ4" - ], - "愯": [ - "ㄙㄨㄥ3" - ], - "愰": [ - "ㄏㄨㄤ4", - "ㄏㄨㄤ3" - ], - "愱": [ - "ㄐㄧ2" - ], - "愲": [ - "ㄍㄨ3" - ], - "愳": [ - "ㄐㄩ4" - ], - "愴": [ - "ㄔㄨㄤ4", - "ㄔㄨㄤ3" - ], - "愵": [ - "ㄋㄧ4" - ], - "愶": [ - "ㄒㄧㄝ2" - ], - "愷": [ - "ㄎㄞ3" - ], - "愸": [ - "ㄓㄥ3" - ], - "愹": [ - "ㄩㄥ3" - ], - "愺": [ - "ㄘㄠ3" - ], - "愻": [ - "ㄒㄩㄣ4" - ], - "愼": [ - "ㄕㄣ4" - ], - "愽": [ - "ㄅㄛ2" - ], - "愾": [ - "ㄎㄞ4", - "ㄒㄧ4", - "ㄑㄧ4" - ], - "愿": [ - "ㄩㄢ4" - ], - "慀": [ - "ㄒㄧ4", - "ㄒㄧㄝ2" - ], - "慁": [ - "ㄏㄨㄣ4" - ], - "慂": [ - "ㄩㄥ3" - ], - "慃": [ - "ㄧㄤ3" - ], - "慄": [ - "ㄌㄧ4" - ], - "慅": [ - "ㄙㄠ1", - "ㄘㄠ3" - ], - "慆": [ - "ㄊㄠ1" - ], - "慇": [ - "ㄧㄣ1" - ], - "慈": [ - "ㄘ2" - ], - "慉": [ - "ㄒㄩ4", - "ㄔㄨ4" - ], - "慊": [ - "ㄑㄧㄢ4", - "ㄑㄧㄝ4", - "ㄒㄧㄢ2", - "ㄑㄧㄢ3" - ], - "態": [ - "ㄊㄞ4" - ], - "慌": [ - "ㄏㄨㄤ1", - "ㄏㄨㄤ3", - "ㄏㄨㄤ5" - ], - "慍": [ - "ㄩㄣ4" - ], - "慎": [ - "ㄕㄣ4", - "ㄓㄣ4" - ], - "慏": [ - "ㄇㄧㄥ3" - ], - "慐": [ - "ㄍㄨㄥ5" - ], - "慑": [ - "ㄕㄜ4" - ], - "慒": [ - "ㄘㄨㄥ2", - "ㄘㄠ2" - ], - "慓": [ - "ㄆㄧㄠ1", - "ㄆㄧㄠ4" - ], - "慔": [ - "ㄇㄨ4" - ], - "慕": [ - "ㄇㄨ4" - ], - "慖": [ - "ㄍㄨㄛ2" - ], - "慗": [ - "ㄔ4" - ], - "慘": [ - "ㄘㄢ3" - ], - "慙": [ - "ㄘㄢ2" - ], - "慚": [ - "ㄘㄢ2" - ], - "慛": [ - "ㄘㄨㄟ1" - ], - "慜": [ - "ㄇㄧㄣ3" - ], - "慝": [ - "ㄊㄜ4", - "ㄋㄧ4" - ], - "慞": [ - "ㄓㄤ1" - ], - "慟": [ - "ㄊㄨㄥ4" - ], - "慠": [ - "ㄠ4", - "ㄠ2" - ], - "慡": [ - "ㄕㄨㄤ3" - ], - "慢": [ - "ㄇㄢ4", - "ㄇㄢ2" - ], - "慣": [ - "ㄍㄨㄢ4" - ], - "慤": [ - "ㄑㄩㄝ4" - ], - "慥": [ - "ㄗㄠ4", - "ㄘㄠ4" - ], - "慦": [ - "ㄐㄧㄡ4" - ], - "慧": [ - "ㄏㄨㄟ4" - ], - "慨": [ - "ㄎㄞ3" - ], - "慩": [ - "ㄌㄧㄢ2" - ], - "慪": [ - "ㄡ4", - "ㄡ1" - ], - "慫": [ - "ㄙㄨㄥ3" - ], - "慬": [ - "ㄑㄧㄣ2", - "ㄐㄧㄣ4", - "ㄐㄧㄣ3" - ], - "慭": [ - "ㄧㄣ4" - ], - "慮": [ - "ㄌㄩ4", - "ㄌㄩ2" - ], - "慯": [ - "ㄕㄤ1" - ], - "慰": [ - "ㄨㄟ4" - ], - "慱": [ - "ㄊㄨㄢ2" - ], - "慲": [ - "ㄇㄢ2" - ], - "慳": [ - "ㄑㄧㄢ1", - "ㄒㄧㄢ2" - ], - "慴": [ - "ㄕㄜ4", - "ㄓㄜ2" - ], - "慵": [ - "ㄩㄥ1" - ], - "慶": [ - "ㄑㄧㄥ4", - "ㄑㄧㄥ1", - "ㄑㄧㄤ1" - ], - "慷": [ - "ㄎㄤ1" - ], - "慸": [ - "ㄉㄧ4", - "ㄔ4" - ], - "慹": [ - "ㄓ2", - "ㄓㄜ2" - ], - "慺": [ - "ㄌㄡ2", - "ㄌㄩ3" - ], - "慻": [ - "ㄐㄩㄢ4" - ], - "慼": [ - "ㄑㄧ1" - ], - "慽": [ - "ㄑㄧ1" - ], - "慾": [ - "ㄩ4" - ], - "慿": [ - "ㄆㄧㄥ2" - ], - "憀": [ - "ㄌㄧㄠ2" - ], - "憁": [ - "ㄘㄨㄥ4", - "ㄙㄨㄥ1" - ], - "憂": [ - "ㄧㄡ1" - ], - "憃": [ - "ㄔㄨㄥ1" - ], - "憄": [ - "ㄓ4" - ], - "憅": [ - "ㄊㄨㄥ4" - ], - "憆": [ - "ㄔㄥ1" - ], - "憇": [ - "ㄑㄧ4" - ], - "憈": [ - "ㄑㄩ1" - ], - "憉": [ - "ㄆㄥ2" - ], - "憊": [ - "ㄅㄟ4" - ], - "憋": [ - "ㄅㄧㄝ1" - ], - "憌": [ - "ㄑㄩㄥ2" - ], - "憍": [ - "ㄐㄧㄠ1" - ], - "憎": [ - "ㄗㄥ1" - ], - "憏": [ - "ㄔ4" - ], - "憐": [ - "ㄌㄧㄢ2" - ], - "憑": [ - "ㄆㄧㄥ2" - ], - "憒": [ - "ㄎㄨㄟ4" - ], - "憓": [ - "ㄏㄨㄟ4" - ], - "憔": [ - "ㄑㄧㄠ2" - ], - "憕": [ - "ㄔㄥ2", - "ㄓㄥ4", - "ㄉㄥ4" - ], - "憖": [ - "ㄧㄣ4", - "ㄒㄧㄣ4", - "ㄧㄣ2" - ], - "憗": [ - "ㄧㄣ4" - ], - "憘": [ - "ㄒㄧ3", - "ㄒㄧ1" - ], - "憙": [ - "ㄒㄧ1", - "ㄒㄧ3" - ], - "憚": [ - "ㄉㄢ4", - "ㄉㄚ2", - "ㄔㄢ3" - ], - "憛": [ - "ㄊㄢ2" - ], - "憜": [ - "ㄉㄨㄛ4" - ], - "憝": [ - "ㄉㄨㄟ4" - ], - "憞": [ - "ㄉㄨㄟ4", - "ㄉㄨㄣ4", - "ㄊㄨㄣ1" - ], - "憟": [ - "ㄙㄨ4" - ], - "憠": [ - "ㄐㄩㄝ2" - ], - "憡": [ - "ㄘㄜ4" - ], - "憢": [ - "ㄒㄧㄠ1", - "ㄐㄧㄠ1" - ], - "憣": [ - "ㄈㄢ1" - ], - "憤": [ - "ㄈㄣ4" - ], - "憥": [ - "ㄌㄠ2" - ], - "憦": [ - "ㄌㄠ4", - "ㄌㄠ2" - ], - "憧": [ - "ㄔㄨㄥ1", - "ㄓㄨㄤ4" - ], - "憨": [ - "ㄏㄢ1" - ], - "憩": [ - "ㄑㄧ4" - ], - "憪": [ - "ㄒㄧㄢ2", - "ㄒㄧㄢ4" - ], - "憫": [ - "ㄇㄧㄣ3" - ], - "憬": [ - "ㄐㄧㄥ3" - ], - "憭": [ - "ㄌㄧㄠ3", - "ㄌㄧㄠ2" - ], - "憮": [ - "ㄨ3", - "ㄨ2" - ], - "憯": [ - "ㄘㄢ3" - ], - "憰": [ - "ㄐㄩㄝ2" - ], - "憱": [ - "ㄘㄨ4" - ], - "憲": [ - "ㄒㄧㄢ4", - "ㄒㄧㄢ3" - ], - "憳": [ - "ㄊㄢ3" - ], - "憴": [ - "ㄕㄥ2" - ], - "憵": [ - "ㄆㄧ1" - ], - "憶": [ - "ㄧ4" - ], - "憷": [ - "ㄔㄨ4", - "ㄔㄨ3" - ], - "憸": [ - "ㄒㄧㄢ1" - ], - "憹": [ - "ㄋㄠ2", - "ㄋㄨㄥ2", - "ㄋㄤ2", - "ㄋㄠ3" - ], - "憺": [ - "ㄉㄢ4" - ], - "憻": [ - "ㄊㄢ3" - ], - "憼": [ - "ㄐㄧㄥ3", - "ㄐㄧㄥ4" - ], - "憽": [ - "ㄙㄨㄥ1" - ], - "憾": [ - "ㄏㄢ4", - "ㄉㄢ4" - ], - "憿": [ - "ㄐㄧㄠ3", - "ㄐㄧ1" - ], - "懀": [ - "ㄨㄟ4" - ], - "懁": [ - "ㄒㄩㄢ1", - "ㄏㄨㄢ1" - ], - "懂": [ - "ㄉㄨㄥ3" - ], - "懃": [ - "ㄑㄧㄣ2" - ], - "懄": [ - "ㄑㄧㄣ2" - ], - "懅": [ - "ㄐㄩ4" - ], - "懆": [ - "ㄘㄠ3", - "ㄙㄠ1", - "ㄙㄠ4" - ], - "懇": [ - "ㄎㄣ3" - ], - "懈": [ - "ㄒㄧㄝ4" - ], - "應": [ - "ㄧㄥ1", - "ㄧㄥ4" - ], - "懊": [ - "ㄠ4", - "ㄩ4" - ], - "懋": [ - "ㄇㄠ4" - ], - "懌": [ - "ㄧ4" - ], - "懍": [ - "ㄌㄧㄣ3" - ], - "懎": [ - "ㄙㄜ4" - ], - "懏": [ - "ㄐㄩㄣ4" - ], - "懐": [ - "ㄏㄨㄞ2" - ], - "懑": [ - "ㄇㄣ4" - ], - "懒": [ - "ㄌㄢ3" - ], - "懓": [ - "ㄞ4" - ], - "懔": [ - "ㄌㄧㄣ3", - "ㄌㄢ3" - ], - "懕": [ - "ㄧㄢ1", - "ㄧㄢ4", - "ㄧㄝ4" - ], - "懖": [ - "ㄎㄨㄛ4" - ], - "懗": [ - "ㄒㄧㄚ4" - ], - "懘": [ - "ㄔ4" - ], - "懙": [ - "ㄩ3" - ], - "懚": [ - "ㄧㄣ4" - ], - "懛": [ - "ㄉㄞ1" - ], - "懜": [ - "ㄇㄥ3", - "ㄇㄥ4", - "ㄇㄥ2" - ], - "懝": [ - "ㄞ4", - "ㄋㄧ4", - "ㄋㄧ3" - ], - "懞": [ - "ㄇㄥ2", - "ㄇㄥ3" - ], - "懟": [ - "ㄉㄨㄟ4" - ], - "懠": [ - "ㄑㄧ2", - "ㄐㄧ4", - "ㄐㄧ1" - ], - "懡": [ - "ㄇㄛ3" - ], - "懢": [ - "ㄌㄢ2", - "ㄒㄧㄢ4" - ], - "懣": [ - "ㄇㄣ4" - ], - "懤": [ - "ㄔㄡ2" - ], - "懥": [ - "ㄓ4" - ], - "懦": [ - "ㄋㄨㄛ4" - ], - "懧": [ - "ㄋㄨㄛ4" - ], - "懨": [ - "ㄧㄢ1" - ], - "懩": [ - "ㄧㄤ3" - ], - "懪": [ - "ㄅㄛ2" - ], - "懫": [ - "ㄓ4" - ], - "懬": [ - "ㄎㄨㄤ4" - ], - "懭": [ - "ㄎㄨㄤ3" - ], - "懮": [ - "ㄧㄡ3", - "ㄧㄡ1" - ], - "懯": [ - "ㄈㄨ1" - ], - "懰": [ - "ㄌㄧㄡ2", - "ㄌㄧㄡ3" - ], - "懱": [ - "ㄇㄧㄝ4" - ], - "懲": [ - "ㄔㄥ2" - ], - "懳": [ - "ㄏㄨㄟ5" - ], - "懴": [ - "ㄔㄢ4" - ], - "懵": [ - "ㄇㄥ3", - "ㄇㄥ4" - ], - "懶": [ - "ㄌㄢ3", - "ㄌㄞ4" - ], - "懷": [ - "ㄏㄨㄞ2" - ], - "懸": [ - "ㄒㄩㄢ2" - ], - "懹": [ - "ㄖㄤ4" - ], - "懺": [ - "ㄔㄢ4" - ], - "懻": [ - "ㄐㄧ4" - ], - "懼": [ - "ㄐㄩ4" - ], - "懽": [ - "ㄏㄨㄢ1", - "ㄍㄨㄢ4" - ], - "懾": [ - "ㄕㄜ4" - ], - "懿": [ - "ㄧ4", - "ㄧ1" - ], - "戀": [ - "ㄌㄧㄢ4" - ], - "戁": [ - "ㄋㄢ3" - ], - "戂": [ - "ㄇㄧ2", - "ㄇㄛ2" - ], - "戃": [ - "ㄊㄤ3" - ], - "戄": [ - "ㄐㄩㄝ2" - ], - "戅": [ - "ㄍㄤ4" - ], - "戆": [ - "ㄍㄤ4", - "ㄓㄨㄤ4" - ], - "戇": [ - "ㄓㄨㄤ4", - "ㄍㄤ4" - ], - "戈": [ - "ㄍㄜ1" - ], - "戉": [ - "ㄩㄝ4" - ], - "戊": [ - "ㄨ4" - ], - "戋": [ - "ㄐㄧㄢ1" - ], - "戌": [ - "ㄒㄩ1", - "ㄑㄩ5" - ], - "戍": [ - "ㄕㄨ4" - ], - "戎": [ - "ㄖㄨㄥ2", - "ㄖㄥ1" - ], - "戏": [ - "ㄒㄧ4", - "ㄏㄨ1" - ], - "成": [ - "ㄔㄥ2" - ], - "我": [ - "ㄨㄛ3" - ], - "戒": [ - "ㄐㄧㄝ4" - ], - "戓": [ - "ㄍㄜ1" - ], - "戔": [ - "ㄐㄧㄢ1", - "ㄘㄢ2" - ], - "戕": [ - "ㄑㄧㄤ1", - "ㄗㄤ1" - ], - "或": [ - "ㄏㄨㄛ4", - "ㄩ4" - ], - "戗": [ - "ㄑㄧㄤ1", - "ㄑㄧㄤ4" - ], - "战": [ - "ㄓㄢ4" - ], - "戙": [ - "ㄉㄨㄥ4" - ], - "戚": [ - "ㄑㄧ1", - "ㄘㄨ4" - ], - "戛": [ - "ㄐㄧㄚ2", - "ㄍㄚ1" - ], - "戜": [ - "ㄉㄧㄝ2" - ], - "戝": [ - "ㄗㄟ2" - ], - "戞": [ - "ㄐㄧㄚ2" - ], - "戟": [ - "ㄐㄧ3" - ], - "戠": [ - "ㄓ1", - "ㄓ2" - ], - "戡": [ - "ㄎㄢ1", - "ㄓㄣ3" - ], - "戢": [ - "ㄐㄧ2" - ], - "戣": [ - "ㄎㄨㄟ2" - ], - "戤": [ - "ㄍㄞ4" - ], - "戥": [ - "ㄉㄥ3" - ], - "戦": [ - "ㄓㄢ4" - ], - "戧": [ - "ㄑㄧㄤ1", - "ㄔㄨㄤ1", - "ㄑㄧㄤ4" - ], - "戨": [ - "ㄍㄜ1" - ], - "戩": [ - "ㄐㄧㄢ3" - ], - "截": [ - "ㄐㄧㄝ2" - ], - "戫": [ - "ㄩ4" - ], - "戬": [ - "ㄐㄧㄢ3" - ], - "戭": [ - "ㄧㄢ3", - "ㄧㄡ3" - ], - "戮": [ - "ㄌㄨ4" - ], - "戯": [ - "ㄏㄨ1", - "ㄒㄧ4" - ], - "戰": [ - "ㄓㄢ4" - ], - "戱": [ - "ㄒㄧ4" - ], - "戲": [ - "ㄒㄧ4", - "ㄏㄨ1", - "ㄒㄧ1", - "ㄏㄨㄟ1", - "ㄙㄨㄛ1", - "ㄧ1" - ], - "戳": [ - "ㄔㄨㄛ1" - ], - "戴": [ - "ㄉㄞ4" - ], - "戵": [ - "ㄑㄩ2" - ], - "戶": [ - "ㄏㄨ4" - ], - "户": [ - "ㄏㄨ4" - ], - "戸": [ - "ㄏㄨ4" - ], - "戹": [ - "ㄜ4" - ], - "戺": [ - "ㄕ4", - "ㄧ2" - ], - "戻": [ - "ㄊㄧ4" - ], - "戼": [ - "ㄇㄠ3" - ], - "戽": [ - "ㄏㄨ4" - ], - "戾": [ - "ㄌㄧ4" - ], - "房": [ - "ㄈㄤ2", - "ㄆㄤ2" - ], - "所": [ - "ㄙㄨㄛ3" - ], - "扁": [ - "ㄅㄧㄢ3", - "ㄆㄧㄢ1", - "ㄅㄧㄢ1", - "ㄆㄧㄢ2" - ], - "扂": [ - "ㄉㄧㄢ4" - ], - "扃": [ - "ㄐㄩㄥ1", - "ㄐㄩㄥ3" - ], - "扄": [ - "ㄕㄤ3", - "ㄐㄩㄥ1" - ], - "扅": [ - "ㄧ2" - ], - "扆": [ - "ㄧ3" - ], - "扇": [ - "ㄕㄢ4", - "ㄕㄢ1" - ], - "扈": [ - "ㄏㄨ4" - ], - "扉": [ - "ㄈㄟ1" - ], - "扊": [ - "ㄧㄢ3" - ], - "手": [ - "ㄕㄡ3" - ], - "扌": [ - "ㄕㄡ5" - ], - "才": [ - "ㄘㄞ2", - "ㄗㄞ1" - ], - "扎": [ - "ㄓㄚ1", - "ㄗㄚ1", - "ㄓㄚ2", - "ㄓㄚ3" - ], - "扏": [ - "ㄑㄧㄡ2" - ], - "扐": [ - "ㄌㄜ4", - "ㄌㄧ4", - "ㄘㄞ2" - ], - "扑": [ - "ㄆㄨ1", - "ㄆㄧ4" - ], - "扒": [ - "ㄅㄚ1", - "ㄆㄚ2", - "ㄅㄞ4", - "ㄅㄧㄝ2" - ], - "打": [ - "ㄉㄚ3", - "ㄉㄚ2" - ], - "扔": [ - "ㄖㄥ1", - "ㄖㄥ4" - ], - "払": [ - "ㄈㄢ3" - ], - "扖": [ - "ㄖㄨ4" - ], - "扗": [ - "ㄗㄞ4" - ], - "托": [ - "ㄊㄨㄛ1" - ], - "扙": [ - "ㄓㄤ4" - ], - "扚": [ - "ㄉㄧㄠ3", - "ㄉㄧ2", - "ㄩㄝ1", - "ㄌㄧ4" - ], - "扛": [ - "ㄎㄤ2", - "ㄍㄤ1" - ], - "扜": [ - "ㄩ1", - "ㄨ1" - ], - "扝": [ - "ㄎㄨ1", - "ㄨ1" - ], - "扞": [ - "ㄍㄢ3", - "ㄏㄢ4" - ], - "扟": [ - "ㄕㄣ1" - ], - "扠": [ - "ㄔㄚ1", - "ㄔㄞ1", - "ㄓㄚ3" - ], - "扡": [ - "ㄊㄨㄛ1", - "ㄧ3", - "ㄔ3" - ], - "扢": [ - "ㄍㄨ3", - "ㄑㄧ4", - "ㄐㄧㄝ2", - "ㄍㄜ1" - ], - "扣": [ - "ㄎㄡ4" - ], - "扤": [ - "ㄨ4" - ], - "扥": [ - "ㄉㄣ4" - ], - "扦": [ - "ㄑㄧㄢ1" - ], - "执": [ - "ㄓ2" - ], - "扨": [ - "ㄖㄣ4" - ], - "扩": [ - "ㄎㄨㄛ4" - ], - "扪": [ - "ㄇㄣ2" - ], - "扫": [ - "ㄙㄠ3", - "ㄙㄠ4" - ], - "扬": [ - "ㄧㄤ2" - ], - "扭": [ - "ㄋㄧㄡ3", - "ㄔㄡ3", - "ㄓㄡ3", - "ㄓㄡ4" - ], - "扮": [ - "ㄅㄢ4", - "ㄈㄣ3", - "ㄈㄣ1", - "ㄏㄨㄛ3" - ], - "扯": [ - "ㄔㄜ3" - ], - "扰": [ - "ㄖㄠ3", - "ㄧㄡ4" - ], - "扱": [ - "ㄒㄧ1", - "ㄔㄚ1", - "ㄑㄧ4" - ], - "扲": [ - "ㄑㄧㄢ2", - "ㄑㄧㄣ2" - ], - "扳": [ - "ㄅㄢ1", - "ㄆㄢ1" - ], - "扴": [ - "ㄐㄧㄚ2" - ], - "扵": [ - "ㄩ2" - ], - "扶": [ - "ㄈㄨ2", - "ㄆㄨ2" - ], - "扷": [ - "ㄠ4" - ], - "扸": [ - "ㄒㄧ1", - "ㄓㄜ2" - ], - "批": [ - "ㄆㄧ1", - "ㄆㄧ2" - ], - "扺": [ - "ㄓ3", - "ㄑㄧ2" - ], - "扻": [ - "ㄓ4", - "ㄙㄨㄣ3", - "ㄎㄢ3" - ], - "扼": [ - "ㄜ4" - ], - "扽": [ - "ㄉㄣ4" - ], - "找": [ - "ㄓㄠ3", - "ㄏㄨㄚ2" - ], - "承": [ - "ㄔㄥ2", - "ㄓㄥ3", - "ㄓㄥ4" - ], - "技": [ - "ㄐㄧ4", - "ㄑㄧ2" - ], - "抁": [ - "ㄧㄢ3" - ], - "抂": [ - "ㄎㄨㄤ2", - "ㄨㄤ3" - ], - "抃": [ - "ㄅㄧㄢ4" - ], - "抄": [ - "ㄔㄠ1", - "ㄙㄨㄛ1", - "ㄔㄠ4", - "ㄔㄠ3" - ], - "抅": [ - "ㄐㄩ1" - ], - "抆": [ - "ㄨㄣ3" - ], - "抇": [ - "ㄏㄨ2" - ], - "抈": [ - "ㄩㄝ4" - ], - "抉": [ - "ㄐㄩㄝ2" - ], - "把": [ - "ㄅㄚ3", - "ㄅㄚ4", - "ㄆㄚ2" - ], - "抋": [ - "ㄑㄧㄣ4" - ], - "抌": [ - "ㄉㄢ3", - "ㄕㄣ3" - ], - "抍": [ - "ㄓㄥ3" - ], - "抎": [ - "ㄩㄣ3" - ], - "抏": [ - "ㄨㄢ2" - ], - "抐": [ - "ㄋㄜ4", - "ㄋㄧ4", - "ㄋㄚ4", - "ㄖㄨㄟ4" - ], - "抑": [ - "ㄧ4" - ], - "抒": [ - "ㄕㄨ1" - ], - "抓": [ - "ㄓㄨㄚ1" - ], - "抔": [ - "ㄆㄡ2" - ], - "投": [ - "ㄊㄡ2", - "ㄉㄡ4" - ], - "抖": [ - "ㄉㄡ3" - ], - "抗": [ - "ㄎㄤ4", - "ㄍㄤ1" - ], - "折": [ - "ㄓㄜ2", - "ㄕㄜ2", - "ㄓㄜ1", - "ㄊㄧ2" - ], - "抙": [ - "ㄆㄡ2" - ], - "抚": [ - "ㄈㄨ3" - ], - "抛": [ - "ㄆㄠ1" - ], - "抜": [ - "ㄅㄚ2" - ], - "抝": [ - "ㄠ3", - "ㄠ4", - "ㄋㄧㄡ4" - ], - "択": [ - "ㄗㄜ2" - ], - "抟": [ - "ㄊㄨㄢ2" - ], - "抠": [ - "ㄎㄡ1" - ], - "抡": [ - "ㄌㄨㄣ1", - "ㄌㄨㄣ2" - ], - "抢": [ - "ㄑㄧㄤ3", - "ㄑㄧㄤ1" - ], - "抣": [ - "ㄩㄣ5" - ], - "护": [ - "ㄏㄨ4" - ], - "报": [ - "ㄅㄠ4" - ], - "抦": [ - "ㄅㄧㄥ3" - ], - "抧": [ - "ㄓ3", - "ㄓㄞ3" - ], - "抨": [ - "ㄆㄥ1", - "ㄅㄥ1" - ], - "抩": [ - "ㄋㄢ2" - ], - "抪": [ - "ㄅㄨ4", - "ㄆㄨ1", - "ㄅㄚ2" - ], - "披": [ - "ㄆㄧ1" - ], - "抬": [ - "ㄊㄞ2", - "ㄔ1" - ], - "抭": [ - "ㄧㄠ3", - "ㄊㄠ1" - ], - "抮": [ - "ㄓㄣ3" - ], - "抯": [ - "ㄓㄚ1" - ], - "抰": [ - "ㄧㄤ1" - ], - "抱": [ - "ㄅㄠ4", - "ㄆㄠ1", - "ㄆㄡ3" - ], - "抲": [ - "ㄏㄜ1", - "ㄏㄜ4", - "ㄑㄧㄚ1" - ], - "抳": [ - "ㄋㄧ3", - "ㄋㄧ2" - ], - "抴": [ - "ㄧㄝ4", - "ㄕㄜ2" - ], - "抵": [ - "ㄉㄧ3", - "ㄓ3", - "ㄑㄧ2" - ], - "抶": [ - "ㄔ4" - ], - "抷": [ - "ㄆㄧ1", - "ㄆㄟ1" - ], - "抸": [ - "ㄐㄧㄚ1" - ], - "抹": [ - "ㄇㄛ3", - "ㄇㄚ1", - "ㄇㄛ4" - ], - "抺": [ - "ㄇㄟ4" - ], - "抻": [ - "ㄔㄣ1", - "ㄕㄣ1" - ], - "押": [ - "ㄧㄚ1", - "ㄒㄧㄚ2", - "ㄐㄧㄚ3" - ], - "抽": [ - "ㄔㄡ1" - ], - "抾": [ - "ㄑㄩ1" - ], - "抿": [ - "ㄇㄧㄣ3" - ], - "拀": [ - "ㄔㄨ4" - ], - "拁": [ - "ㄐㄧㄚ1", - "ㄧㄚ2" - ], - "拂": [ - "ㄈㄨ2", - "ㄅㄧ4", - "ㄆㄧ4", - "ㄈㄟ4" - ], - "拃": [ - "ㄓㄚ3", - "ㄓㄢ3", - "ㄓㄚ4", - "ㄓㄚ2" - ], - "拄": [ - "ㄓㄨ3" - ], - "担": [ - "ㄉㄢ1", - "ㄉㄢ4", - "ㄉㄢ3", - "ㄐㄧㄝ1" - ], - "拆": [ - "ㄔㄞ1", - "ㄔㄜ4", - "ㄔ4", - "ㄘㄚ1" - ], - "拇": [ - "ㄇㄨ3" - ], - "拈": [ - "ㄋㄧㄢ1", - "ㄋㄧㄢ3", - "ㄉㄧㄢ1" - ], - "拉": [ - "ㄌㄚ1", - "ㄌㄚ2", - "ㄌㄚ3", - "ㄌㄚ4", - "ㄌㄚ5" - ], - "拊": [ - "ㄈㄨ3", - "ㄈㄨ1", - "ㄅㄨ3" - ], - "拋": [ - "ㄆㄠ1" - ], - "拌": [ - "ㄅㄢ4", - "ㄆㄢ1" - ], - "拍": [ - "ㄆㄞ1", - "ㄅㄛ2" - ], - "拎": [ - "ㄌㄧㄣ1", - "ㄌㄧㄥ1" - ], - "拏": [ - "ㄋㄚ2" - ], - "拐": [ - "ㄍㄨㄞ3" - ], - "拑": [ - "ㄑㄧㄢ2" - ], - "拒": [ - "ㄐㄩ4", - "ㄐㄩ3" - ], - "拓": [ - "ㄊㄨㄛ4", - "ㄊㄚ4", - "ㄓ2" - ], - "拔": [ - "ㄅㄚ2", - "ㄅㄛ1", - "ㄅㄧㄝ2", - "ㄈㄚ2", - "ㄅㄟ4" - ], - "拕": [ - "ㄊㄨㄛ1" - ], - "拖": [ - "ㄊㄨㄛ1", - "ㄔ3" - ], - "拗": [ - "ㄠ3", - "ㄠ4", - "ㄋㄧㄡ4", - "ㄩ4" - ], - "拘": [ - "ㄐㄩ1", - "ㄍㄡ1", - "ㄐㄩ3", - "ㄐㄩ2" - ], - "拙": [ - "ㄓㄨㄛ1" - ], - "拚": [ - "ㄆㄢ4", - "ㄅㄧㄢ4", - "ㄈㄣ4", - "ㄈㄢ1", - "ㄆㄧㄣ1" - ], - "招": [ - "ㄓㄠ1", - "ㄑㄧㄠ2", - "ㄕㄠ2" - ], - "拜": [ - "ㄅㄞ4", - "ㄅㄞ2" - ], - "拝": [ - "ㄅㄞ4" - ], - "拞": [ - "ㄉㄧ3" - ], - "拟": [ - "ㄋㄧ3" - ], - "拠": [ - "ㄐㄩ4" - ], - "拡": [ - "ㄎㄨㄛ4" - ], - "拢": [ - "ㄌㄨㄥ3" - ], - "拣": [ - "ㄐㄧㄢ3" - ], - "拤": [ - "ㄑㄧㄚ2" - ], - "拥": [ - "ㄩㄥ1" - ], - "拦": [ - "ㄌㄢ2" - ], - "拧": [ - "ㄋㄧㄥ2", - "ㄋㄧㄥ3", - "ㄋㄧㄥ4" - ], - "拨": [ - "ㄅㄛ1" - ], - "择": [ - "ㄗㄜ2", - "ㄓㄞ2" - ], - "拪": [ - "ㄑㄧㄢ1" - ], - "拫": [ - "ㄏㄣ2" - ], - "括": [ - "ㄎㄨㄛ4", - "ㄍㄨㄚ1" - ], - "拭": [ - "ㄕ4" - ], - "拮": [ - "ㄐㄧㄝ2", - "ㄐㄧㄚ2" - ], - "拯": [ - "ㄓㄥ3" - ], - "拰": [ - "ㄋㄧㄣ3" - ], - "拱": [ - "ㄍㄨㄥ3", - "ㄐㄩ2" - ], - "拲": [ - "ㄍㄨㄥ3" - ], - "拳": [ - "ㄑㄩㄢ2" - ], - "拴": [ - "ㄕㄨㄢ1", - "ㄑㄩㄢ2" - ], - "拵": [ - "ㄘㄨㄣ2", - "ㄗㄨㄣ4" - ], - "拶": [ - "ㄗㄚ1", - "ㄗㄢ3" - ], - "拷": [ - "ㄎㄠ3" - ], - "拸": [ - "ㄧ2", - "ㄔ3", - "ㄏㄞ4" - ], - "拹": [ - "ㄒㄧㄝ2" - ], - "拺": [ - "ㄘㄜ4", - "ㄙㄜ4", - "ㄔㄨㄛ4" - ], - "拻": [ - "ㄏㄨㄟ1" - ], - "拼": [ - "ㄆㄧㄣ1", - "ㄅㄧㄥ4" - ], - "拽": [ - "ㄓㄨㄞ1", - "ㄓㄨㄞ4", - "ㄧㄝ4" - ], - "拾": [ - "ㄕ2", - "ㄕㄜ4", - "ㄐㄧㄝ4" - ], - "拿": [ - "ㄋㄚ2" - ], - "挀": [ - "ㄅㄞ1" - ], - "持": [ - "ㄔ2" - ], - "挂": [ - "ㄍㄨㄚ4" - ], - "挃": [ - "ㄓ4", - "ㄉㄧㄝ2" - ], - "挄": [ - "ㄎㄨㄛ4", - "ㄍㄨㄤ1" - ], - "挅": [ - "ㄉㄨㄛ3", - "ㄉㄨㄛ4" - ], - "挆": [ - "ㄉㄨㄛ3" - ], - "指": [ - "ㄓ3", - "ㄓ1", - "ㄓ2" - ], - "挈": [ - "ㄑㄧㄝ4", - "ㄑㄧ4", - "ㄐㄧㄚ2", - "ㄑㄧㄚ4", - "ㄕ4" - ], - "按": [ - "ㄢ4" - ], - "挊": [ - "ㄋㄨㄥ4" - ], - "挋": [ - "ㄓㄣ4" - ], - "挌": [ - "ㄍㄜ2", - "ㄏㄜ2" - ], - "挍": [ - "ㄐㄧㄠ4", - "ㄐㄧㄠ1" - ], - "挎": [ - "ㄎㄨㄚ4", - "ㄎㄨ1", - "ㄎㄡ1" - ], - "挏": [ - "ㄉㄨㄥ4" - ], - "挐": [ - "ㄋㄚ2", - "ㄖㄨ2", - "ㄋㄨ2" - ], - "挑": [ - "ㄊㄧㄠ1", - "ㄊㄧㄠ3", - "ㄊㄠ2", - "ㄉㄧㄠ4", - "ㄊㄧㄠ2", - "ㄊㄧㄠ5" - ], - "挒": [ - "ㄌㄧㄝ4" - ], - "挓": [ - "ㄓㄚ1" - ], - "挔": [ - "ㄌㄩ3" - ], - "挕": [ - "ㄉㄧㄝ2", - "ㄕㄜ4" - ], - "挖": [ - "ㄨㄚ1" - ], - "挗": [ - "ㄐㄩㄝ2" - ], - "挘": [ - "ㄌㄧㄝ3" - ], - "挙": [ - "ㄐㄩ3" - ], - "挚": [ - "ㄓ4" - ], - "挛": [ - "ㄌㄨㄢ2" - ], - "挜": [ - "ㄧㄚ4" - ], - "挝": [ - "ㄨㄛ1", - "ㄓㄨㄚ1" - ], - "挞": [ - "ㄊㄚ4" - ], - "挟": [ - "ㄒㄧㄝ2", - "ㄐㄧㄚ1" - ], - "挠": [ - "ㄋㄠ2" - ], - "挡": [ - "ㄉㄤ3", - "ㄉㄤ4" - ], - "挢": [ - "ㄐㄧㄠ3" - ], - "挣": [ - "ㄓㄥ1", - "ㄓㄥ4" - ], - "挤": [ - "ㄐㄧ3" - ], - "挥": [ - "ㄏㄨㄟ1" - ], - "挦": [ - "ㄒㄧㄢ2" - ], - "挧": [ - "ㄩ3" - ], - "挨": [ - "ㄞ1", - "ㄞ2" - ], - "挩": [ - "ㄊㄨㄛ1" - ], - "挪": [ - "ㄋㄨㄛ2" - ], - "挫": [ - "ㄘㄨㄛ4", - "ㄗㄨㄛ4" - ], - "挬": [ - "ㄅㄛ2" - ], - "挭": [ - "ㄍㄥ3" - ], - "挮": [ - "ㄊㄧ3", - "ㄊㄧ4" - ], - "振": [ - "ㄓㄣ4", - "ㄓㄣ1", - "ㄓㄣ3" - ], - "挰": [ - "ㄔㄥ2" - ], - "挱": [ - "ㄙㄚ1", - "ㄕㄚ1", - "ㄙㄨㄛ1" - ], - "挲": [ - "ㄙㄚ1", - "ㄙㄨㄛ1", - "ㄕㄚ1" - ], - "挳": [ - "ㄎㄥ1" - ], - "挴": [ - "ㄇㄟ3" - ], - "挵": [ - "ㄋㄨㄥ4" - ], - "挶": [ - "ㄐㄩ1" - ], - "挷": [ - "ㄆㄥ2" - ], - "挸": [ - "ㄐㄧㄢ3" - ], - "挹": [ - "ㄧ4" - ], - "挺": [ - "ㄊㄧㄥ3", - "ㄊㄧㄥ2" - ], - "挻": [ - "ㄕㄢ1", - "ㄧㄢ2" - ], - "挼": [ - "ㄖㄨㄚ2", - "ㄖㄨㄛ2", - "ㄙㄨㄟ1", - "ㄌㄨㄛ4" - ], - "挽": [ - "ㄨㄢ3" - ], - "挾": [ - "ㄒㄧㄝ2", - "ㄐㄧㄚ1" - ], - "挿": [ - "ㄔㄚ1" - ], - "捀": [ - "ㄈㄥ2" - ], - "捁": [ - "ㄐㄧㄠ3", - "ㄎㄨ4" - ], - "捂": [ - "ㄨ3", - "ㄨ2" - ], - "捃": [ - "ㄐㄩㄣ4" - ], - "捄": [ - "ㄐㄧㄡ4", - "ㄐㄩ1", - "ㄑㄧㄡ2" - ], - "捅": [ - "ㄊㄨㄥ3" - ], - "捆": [ - "ㄎㄨㄣ3", - "ㄏㄨㄣ2" - ], - "捇": [ - "ㄏㄨㄛ4", - "ㄔ4" - ], - "捈": [ - "ㄊㄨ2", - "ㄕㄨ1", - "ㄔㄚ2" - ], - "捉": [ - "ㄓㄨㄛ1" - ], - "捊": [ - "ㄆㄡ2", - "ㄆㄡ1", - "ㄈㄨ1" - ], - "捋": [ - "ㄌㄩ3", - "ㄌㄨㄛ1" - ], - "捌": [ - "ㄅㄚ1", - "ㄅㄧㄝ2" - ], - "捍": [ - "ㄏㄢ4", - "ㄒㄧㄢ4", - "ㄍㄢ3" - ], - "捎": [ - "ㄕㄠ1", - "ㄕㄠ4", - "ㄕㄠ3", - "ㄒㄧㄠ1", - "ㄑㄧㄠ4" - ], - "捏": [ - "ㄋㄧㄝ1" - ], - "捐": [ - "ㄐㄩㄢ1", - "ㄩㄢ2" - ], - "捑": [ - "ㄗㄜ4" - ], - "捒": [ - "ㄕㄨ4", - "ㄙㄡ1", - "ㄙㄨㄥ3" - ], - "捓": [ - "ㄧㄝ2", - "ㄩ2" - ], - "捔": [ - "ㄐㄩㄝ2", - "ㄓㄨㄛ2" - ], - "捕": [ - "ㄅㄨ3" - ], - "捖": [ - "ㄨㄢ2", - "ㄍㄨㄚ1" - ], - "捗": [ - "ㄅㄨ4", - "ㄆㄨ2", - "ㄓ4" - ], - "捘": [ - "ㄗㄨㄣ4" - ], - "捙": [ - "ㄧㄝ4" - ], - "捚": [ - "ㄓㄞ1" - ], - "捛": [ - "ㄌㄩ3" - ], - "捜": [ - "ㄙㄡ1" - ], - "捝": [ - "ㄊㄨㄛ1", - "ㄕㄨㄟ4", - "ㄧㄢ3" - ], - "捞": [ - "ㄌㄠ1" - ], - "损": [ - "ㄙㄨㄣ3" - ], - "捠": [ - "ㄅㄤ1" - ], - "捡": [ - "ㄐㄧㄢ3" - ], - "换": [ - "ㄏㄨㄢ4" - ], - "捣": [ - "ㄉㄠ3" - ], - "捤": [ - "ㄨㄟ3" - ], - "捥": [ - "ㄨㄢ4", - "ㄨㄢ1", - "ㄨㄢ3", - "ㄩ4" - ], - "捦": [ - "ㄑㄧㄣ2" - ], - "捧": [ - "ㄆㄥ3", - "ㄈㄥ4" - ], - "捨": [ - "ㄕㄜ3" - ], - "捩": [ - "ㄌㄧㄝ4", - "ㄌㄧ4" - ], - "捪": [ - "ㄇㄧㄣ2" - ], - "捫": [ - "ㄇㄣ2" - ], - "捬": [ - "ㄈㄨ3", - "ㄈㄨ4", - "ㄅㄨ3" - ], - "捭": [ - "ㄅㄞ3", - "ㄅㄚ1", - "ㄅㄧ3" - ], - "据": [ - "ㄐㄩ4", - "ㄐㄩ1" - ], - "捯": [ - "ㄉㄠ2", - "ㄉㄠ3" - ], - "捰": [ - "ㄨㄛ3", - "ㄌㄨㄛ4", - "ㄌㄨㄛ3" - ], - "捱": [ - "ㄞ2", - "ㄞ1" - ], - "捲": [ - "ㄐㄩㄢ3", - "ㄑㄩㄢ2", - "ㄐㄩㄢ4" - ], - "捳": [ - "ㄩㄝ4" - ], - "捴": [ - "ㄗㄨㄥ3" - ], - "捵": [ - "ㄔㄣ1", - "ㄊㄧㄢ3", - "ㄋㄧㄢ3" - ], - "捶": [ - "ㄔㄨㄟ2", - "ㄉㄨㄛ3" - ], - "捷": [ - "ㄐㄧㄝ2", - "ㄑㄧㄝ4", - "ㄔㄚ1" - ], - "捸": [ - "ㄊㄨ1" - ], - "捹": [ - "ㄅㄣ4" - ], - "捺": [ - "ㄋㄚ4" - ], - "捻": [ - "ㄋㄧㄢ3", - "ㄋㄧㄝ1", - "ㄋㄧㄢ1" - ], - "捼": [ - "ㄖㄨㄛ2", - "ㄨㄛ1", - "ㄨㄟ3", - "ㄖㄜ2" - ], - "捽": [ - "ㄗㄨㄛ2", - "ㄘㄨ4", - "ㄙㄨ1", - "ㄗㄨㄣ4" - ], - "捾": [ - "ㄨㄛ4", - "ㄒㄧㄚ2" - ], - "捿": [ - "ㄑㄧ1" - ], - "掀": [ - "ㄒㄧㄢ1", - "ㄏㄣ2" - ], - "掁": [ - "ㄔㄥ2" - ], - "掂": [ - "ㄉㄧㄢ1" - ], - "掃": [ - "ㄙㄠ3", - "ㄙㄠ4" - ], - "掄": [ - "ㄌㄨㄣ1", - "ㄌㄨㄣ2" - ], - "掅": [ - "ㄑㄧㄥ4" - ], - "掆": [ - "ㄍㄤ1", - "ㄍㄤ4" - ], - "掇": [ - "ㄉㄨㄛ1", - "ㄉㄨㄛ2", - "ㄓㄨㄛ1" - ], - "授": [ - "ㄕㄡ4" - ], - "掉": [ - "ㄉㄧㄠ4", - "ㄋㄨㄛ2" - ], - "掊": [ - "ㄆㄡ2", - "ㄆㄡ3", - "ㄈㄨ4", - "ㄆㄟ2" - ], - "掋": [ - "ㄉㄧ3", - "ㄉㄧ4" - ], - "掌": [ - "ㄓㄤ3" - ], - "掍": [ - "ㄏㄨㄣ4" - ], - "掎": [ - "ㄐㄧ3", - "ㄧ3" - ], - "掏": [ - "ㄊㄠ1", - "ㄊㄠ2" - ], - "掐": [ - "ㄑㄧㄚ1" - ], - "掑": [ - "ㄑㄧ2" - ], - "排": [ - "ㄆㄞ2", - "ㄆㄞ3", - "ㄅㄞ4" - ], - "掓": [ - "ㄕㄨ1" - ], - "掔": [ - "ㄑㄧㄢ1", - "ㄨㄢ4" - ], - "掕": [ - "ㄌㄧㄥ2" - ], - "掖": [ - "ㄧㄝ1", - "ㄧㄝ4" - ], - "掗": [ - "ㄧㄚ4", - "ㄧㄚ3" - ], - "掘": [ - "ㄐㄩㄝ2", - "ㄎㄨ1" - ], - "掙": [ - "ㄓㄥ1" - ], - "掚": [ - "ㄌㄧㄤ3" - ], - "掛": [ - "ㄍㄨㄚ4" - ], - "掜": [ - "ㄧ4", - "ㄋㄧ3", - "ㄋㄞ2", - "ㄋㄧㄝ4" - ], - "掝": [ - "ㄏㄨㄛ4", - "ㄒㄩ4" - ], - "掞": [ - "ㄕㄢ4", - "ㄧㄢ4", - "ㄧㄢ3" - ], - "掟": [ - "ㄓㄥ3", - "ㄉㄧㄥ4" - ], - "掠": [ - "ㄌㄩㄝ4", - "ㄌㄩㄝ3" - ], - "採": [ - "ㄘㄞ3" - ], - "探": [ - "ㄊㄢ4", - "ㄒㄧㄢ2" - ], - "掣": [ - "ㄔㄜ4" - ], - "掤": [ - "ㄅㄧㄥ1" - ], - "接": [ - "ㄐㄧㄝ1", - "ㄒㄧㄝ2", - "ㄕㄚ4", - "ㄔㄚ1" - ], - "掦": [ - "ㄊㄧ4" - ], - "控": [ - "ㄎㄨㄥ4", - "ㄎㄨㄥ1", - "ㄑㄧㄤ1" - ], - "推": [ - "ㄊㄨㄟ1" - ], - "掩": [ - "ㄧㄢ3", - "ㄧㄢ4" - ], - "措": [ - "ㄘㄨㄛ4", - "ㄗㄜ2", - "ㄘ4" - ], - "掫": [ - "ㄓㄡ1", - "ㄗㄡ1", - "ㄔㄡ1" - ], - "掬": [ - "ㄐㄩ1" - ], - "掭": [ - "ㄊㄧㄢ4" - ], - "掮": [ - "ㄑㄧㄢ2" - ], - "掯": [ - "ㄎㄣ4" - ], - "掰": [ - "ㄅㄞ1" - ], - "掱": [ - "ㄆㄚ2", - "ㄕㄡ3" - ], - "掲": [ - "ㄐㄧㄝ1" - ], - "掳": [ - "ㄌㄨ3" - ], - "掴": [ - "ㄍㄨㄞ1", - "ㄍㄨㄛ2" - ], - "掵": [ - "ㄇㄧㄥ5" - ], - "掶": [ - "ㄐㄧㄝ2" - ], - "掷": [ - "ㄓ4", - "ㄓ1" - ], - "掸": [ - "ㄉㄢ3", - "ㄕㄢ4" - ], - "掹": [ - "ㄇㄥ5" - ], - "掺": [ - "ㄘㄢ4", - "ㄔㄢ1", - "ㄕㄢ3" - ], - "掻": [ - "ㄙㄠ1" - ], - "掼": [ - "ㄍㄨㄢ4" - ], - "掽": [ - "ㄆㄥ4" - ], - "掾": [ - "ㄩㄢ4", - "ㄔㄨㄢ2" - ], - "掿": [ - "ㄋㄨㄛ4" - ], - "揀": [ - "ㄐㄧㄢ3" - ], - "揁": [ - "ㄓㄥ1", - "ㄎㄥ1" - ], - "揂": [ - "ㄐㄧㄡ1", - "ㄧㄡ2" - ], - "揃": [ - "ㄐㄧㄢ3", - "ㄐㄧㄢ1", - "ㄑㄧㄢ1" - ], - "揄": [ - "ㄩ2", - "ㄔㄡ1", - "ㄧㄡ2", - "ㄕㄨ1", - "ㄧㄠ2" - ], - "揅": [ - "ㄧㄢ2" - ], - "揆": [ - "ㄎㄨㄟ2" - ], - "揇": [ - "ㄋㄢ3" - ], - "揈": [ - "ㄏㄨㄥ1", - "ㄏㄨㄥ2", - "ㄒㄩㄢ4", - "ㄐㄩ1" - ], - "揉": [ - "ㄖㄡ2" - ], - "揊": [ - "ㄆㄧ4", - "ㄔㄜ4" - ], - "揋": [ - "ㄨㄟ1" - ], - "揌": [ - "ㄙㄞ1", - "ㄘㄞ1" - ], - "揍": [ - "ㄗㄡ4", - "ㄘㄡ4" - ], - "揎": [ - "ㄒㄩㄢ1" - ], - "描": [ - "ㄇㄧㄠ2", - "ㄇㄠ4" - ], - "提": [ - "ㄊㄧ2", - "ㄉㄧ1", - "ㄔ2", - "ㄕ2", - "ㄉㄧ3" - ], - "揑": [ - "ㄋㄧㄝ1" - ], - "插": [ - "ㄔㄚ1", - "ㄓㄚ3" - ], - "揓": [ - "ㄕ4" - ], - "揔": [ - "ㄗㄨㄥ3", - "ㄙㄨㄥ1" - ], - "揕": [ - "ㄓㄣ4", - "ㄓㄣ1" - ], - "揖": [ - "ㄧ1", - "ㄐㄧ2" - ], - "揗": [ - "ㄒㄩㄣ2" - ], - "揘": [ - "ㄩㄥ2", - "ㄏㄨㄤ2" - ], - "揙": [ - "ㄅㄧㄢ1", - "ㄅㄧㄢ4" - ], - "揚": [ - "ㄧㄤ2" - ], - "換": [ - "ㄏㄨㄢ4" - ], - "揜": [ - "ㄧㄢ3" - ], - "揝": [ - "ㄗㄢ3", - "ㄗㄨㄢ4" - ], - "揞": [ - "ㄢ3", - "ㄧㄢ4", - "ㄧㄝ4" - ], - "揟": [ - "ㄒㄩ1", - "ㄐㄩ1" - ], - "揠": [ - "ㄧㄚ4" - ], - "握": [ - "ㄨㄛ4", - "ㄡ4" - ], - "揢": [ - "ㄎㄜ2", - "ㄑㄧㄚ1" - ], - "揣": [ - "ㄔㄨㄞ1", - "ㄔㄨㄞ3", - "ㄔㄨㄞ4", - "ㄉㄨㄛ3", - "ㄓㄨㄟ1", - "ㄊㄨㄢ2" - ], - "揤": [ - "ㄐㄧ2" - ], - "揥": [ - "ㄊㄧ4", - "ㄉㄧ4" - ], - "揦": [ - "ㄌㄚ2", - "ㄌㄚ4" - ], - "揧": [ - "ㄌㄚ4" - ], - "揨": [ - "ㄔㄣ2" - ], - "揩": [ - "ㄎㄞ1", - "ㄐㄧㄚ2" - ], - "揪": [ - "ㄐㄧㄡ1" - ], - "揫": [ - "ㄐㄧㄡ1" - ], - "揬": [ - "ㄊㄨ2" - ], - "揭": [ - "ㄐㄧㄝ1", - "ㄑㄧ4", - "ㄏㄜ2" - ], - "揮": [ - "ㄏㄨㄟ1", - "ㄏㄨㄣ2" - ], - "揯": [ - "ㄍㄣ4" - ], - "揰": [ - "ㄔㄨㄥ4", - "ㄉㄨㄥ3" - ], - "揱": [ - "ㄒㄧㄠ1", - "ㄕㄨㄛ4", - "ㄒㄧㄢ1" - ], - "揲": [ - "ㄉㄧㄝ2", - "ㄕㄜ2", - "ㄧㄝ4" - ], - "揳": [ - "ㄒㄧㄝ1", - "ㄒㄧㄝ4", - "ㄒㄧㄝ2", - "ㄐㄧㄚ2" - ], - "援": [ - "ㄩㄢ2", - "ㄏㄨㄢ4" - ], - "揵": [ - "ㄑㄧㄢ2", - "ㄐㄧㄢ4", - "ㄐㄧㄢ3" - ], - "揶": [ - "ㄧㄝ2" - ], - "揷": [ - "ㄔㄚ1" - ], - "揸": [ - "ㄓㄚ1" - ], - "揹": [ - "ㄅㄟ1" - ], - "揺": [ - "ㄧㄠ2" - ], - "揻": [ - "ㄨㄟ1" - ], - "揼": [ - "ㄅㄥ5" - ], - "揽": [ - "ㄌㄢ3" - ], - "揾": [ - "ㄨㄣ4", - "ㄨ4" - ], - "揿": [ - "ㄑㄧㄣ4" - ], - "搀": [ - "ㄔㄢ1" - ], - "搁": [ - "ㄍㄜ1", - "ㄍㄜ2" - ], - "搂": [ - "ㄌㄡ3", - "ㄌㄡ1" - ], - "搃": [ - "ㄗㄨㄥ3" - ], - "搄": [ - "ㄍㄣ4" - ], - "搅": [ - "ㄐㄧㄠ3" - ], - "搆": [ - "ㄍㄡ4", - "ㄍㄡ1" - ], - "搇": [ - "ㄑㄧㄣ4" - ], - "搈": [ - "ㄖㄨㄥ2" - ], - "搉": [ - "ㄑㄩㄝ4", - "ㄏㄨㄛ1" - ], - "搊": [ - "ㄔㄡ1", - "ㄗㄡ3", - "ㄓㄨ1" - ], - "搋": [ - "ㄔㄨㄞ1", - "ㄔ3", - "ㄧ2" - ], - "搌": [ - "ㄓㄢ3" - ], - "損": [ - "ㄙㄨㄣ3" - ], - "搎": [ - "ㄙㄨㄣ1" - ], - "搏": [ - "ㄅㄛ2" - ], - "搐": [ - "ㄔㄨ4" - ], - "搑": [ - "ㄖㄨㄥ2", - "ㄋㄤ2", - "ㄋㄤ3" - ], - "搒": [ - "ㄅㄤ4", - "ㄆㄥ2", - "ㄅㄥ1", - "ㄅㄤ3" - ], - "搓": [ - "ㄘㄨㄛ1", - "ㄘㄨㄛ3", - "ㄔㄞ1" - ], - "搔": [ - "ㄙㄠ1", - "ㄙㄠ4" - ], - "搕": [ - "ㄎㄜ1", - "ㄜ4" - ], - "搖": [ - "ㄧㄠ2" - ], - "搗": [ - "ㄉㄠ3" - ], - "搘": [ - "ㄓ1" - ], - "搙": [ - "ㄋㄨ4", - "ㄋㄨㄛ4", - "ㄋㄡ4" - ], - "搚": [ - "ㄌㄚ1", - "ㄒㄧㄝ2", - "ㄒㄧㄢ4" - ], - "搛": [ - "ㄐㄧㄢ1", - "ㄌㄧㄢ2" - ], - "搜": [ - "ㄙㄡ1", - "ㄒㄧㄠ1", - "ㄙㄡ4", - "ㄕㄠ3" - ], - "搝": [ - "ㄑㄧㄡ3" - ], - "搞": [ - "ㄍㄠ3", - "ㄑㄧㄠ1", - "ㄎㄠ4" - ], - "搟": [ - "ㄒㄧㄢ3", - "ㄒㄧㄢ1" - ], - "搠": [ - "ㄕㄨㄛ4" - ], - "搡": [ - "ㄙㄤ3" - ], - "搢": [ - "ㄐㄧㄣ4" - ], - "搣": [ - "ㄇㄧㄝ4" - ], - "搤": [ - "ㄜ4", - "ㄧ4" - ], - "搥": [ - "ㄔㄨㄟ2", - "ㄉㄨㄟ1" - ], - "搦": [ - "ㄋㄨㄛ4" - ], - "搧": [ - "ㄕㄢ1" - ], - "搨": [ - "ㄊㄚ4", - "ㄉㄚ2" - ], - "搩": [ - "ㄓㄚ3", - "ㄐㄧㄝ2" - ], - "搪": [ - "ㄊㄤ2" - ], - "搫": [ - "ㄆㄢ2", - "ㄅㄢ1", - "ㄆㄛ2" - ], - "搬": [ - "ㄅㄢ1", - "ㄙㄨ4" - ], - "搭": [ - "ㄉㄚ1", - "ㄊㄚ4" - ], - "搮": [ - "ㄌㄧ4" - ], - "搯": [ - "ㄊㄠ1" - ], - "搰": [ - "ㄏㄨ2", - "ㄎㄨ1" - ], - "搱": [ - "ㄓ4", - "ㄋㄞ2" - ], - "搲": [ - "ㄨㄚ1", - "ㄨㄚ3", - "ㄨㄚ4" - ], - "搳": [ - "ㄏㄨㄚ2", - "ㄒㄧㄚ2", - "ㄑㄧㄚ1" - ], - "搴": [ - "ㄑㄧㄢ1" - ], - "搵": [ - "ㄨㄣ4" - ], - "搶": [ - "ㄑㄧㄤ3", - "ㄑㄧㄤ1", - "ㄑㄧㄤ4", - "ㄔㄥ2", - "ㄔㄥ1" - ], - "搷": [ - "ㄊㄧㄢ2", - "ㄕㄣ1" - ], - "搸": [ - "ㄓㄣ1" - ], - "搹": [ - "ㄜ4" - ], - "携": [ - "ㄒㄧㄝ2" - ], - "搻": [ - "ㄋㄨㄛ4" - ], - "搼": [ - "ㄑㄩㄢ2" - ], - "搽": [ - "ㄔㄚ2" - ], - "搾": [ - "ㄓㄚ4" - ], - "搿": [ - "ㄍㄜ2" - ], - "摀": [ - "ㄨ3" - ], - "摁": [ - "ㄣ4" - ], - "摂": [ - "ㄕㄜ4" - ], - "摃": [ - "ㄎㄤ2" - ], - "摄": [ - "ㄕㄜ4" - ], - "摅": [ - "ㄕㄨ1" - ], - "摆": [ - "ㄅㄞ3" - ], - "摇": [ - "ㄧㄠ2" - ], - "摈": [ - "ㄅㄧㄣ4" - ], - "摉": [ - "ㄙㄡ1" - ], - "摊": [ - "ㄊㄢ1" - ], - "摋": [ - "ㄙㄚ4", - "ㄕㄞ3", - "ㄕㄚ1" - ], - "摌": [ - "ㄔㄢ3", - "ㄙㄨㄣ4" - ], - "摍": [ - "ㄙㄨㄛ1" - ], - "摎": [ - "ㄐㄧㄡ1", - "ㄌㄧㄡ2", - "ㄌㄧㄠ2", - "ㄐㄧㄠ3", - "ㄋㄠ2" - ], - "摏": [ - "ㄔㄨㄥ1" - ], - "摐": [ - "ㄔㄨㄤ1" - ], - "摑": [ - "ㄍㄨㄞ1", - "ㄍㄨㄛ2" - ], - "摒": [ - "ㄅㄧㄥ3", - "ㄅㄧㄥ4" - ], - "摓": [ - "ㄈㄥ2", - "ㄆㄥ3" - ], - "摔": [ - "ㄕㄨㄞ1" - ], - "摕": [ - "ㄉㄧ4", - "ㄊㄨ2", - "ㄓ2" - ], - "摖": [ - "ㄑㄧ4", - "ㄔㄚ2" - ], - "摗": [ - "ㄙㄡ1", - "ㄙㄨㄥ3" - ], - "摘": [ - "ㄓㄞ1" - ], - "摙": [ - "ㄌㄧㄢ3", - "ㄌㄧㄢ4" - ], - "摚": [ - "ㄔㄥ1" - ], - "摛": [ - "ㄔ1" - ], - "摜": [ - "ㄍㄨㄢ4" - ], - "摝": [ - "ㄌㄨ4" - ], - "摞": [ - "ㄌㄨㄛ4" - ], - "摟": [ - "ㄌㄡ3", - "ㄌㄡ1" - ], - "摠": [ - "ㄗㄨㄥ3" - ], - "摡": [ - "ㄍㄞ4", - "ㄒㄧ4" - ], - "摢": [ - "ㄏㄨ4", - "ㄔㄨ1" - ], - "摣": [ - "ㄓㄚ1", - "ㄓㄨㄚ1" - ], - "摤": [ - "ㄔㄨㄤ3" - ], - "摥": [ - "ㄊㄤ4" - ], - "摦": [ - "ㄏㄨㄚ4" - ], - "摧": [ - "ㄘㄨㄟ1", - "ㄗㄨㄟ4", - "ㄘㄨㄛ4" - ], - "摨": [ - "ㄋㄞ2", - "ㄓ4" - ], - "摩": [ - "ㄇㄛ2", - "ㄇㄚ1", - "ㄇㄧ2" - ], - "摪": [ - "ㄐㄧㄤ1", - "ㄑㄧㄤ4" - ], - "摫": [ - "ㄍㄨㄟ1" - ], - "摬": [ - "ㄧㄥ3" - ], - "摭": [ - "ㄓ2" - ], - "摮": [ - "ㄠ2", - "ㄑㄧㄠ1" - ], - "摯": [ - "ㄓ4" - ], - "摰": [ - "ㄋㄧㄝ4", - "ㄔㄜ4" - ], - "摱": [ - "ㄇㄢ4", - "ㄇㄢ2" - ], - "摲": [ - "ㄔㄢ4", - "ㄘㄢ2" - ], - "摳": [ - "ㄎㄡ1", - "ㄡ1" - ], - "摴": [ - "ㄔㄨ1", - "ㄔ1" - ], - "摵": [ - "ㄕㄜ4", - "ㄙㄨ4", - "ㄇㄧ2" - ], - "摶": [ - "ㄊㄨㄢ2", - "ㄓㄨㄢ4", - "ㄓㄨㄢ1" - ], - "摷": [ - "ㄐㄧㄠ3", - "ㄔㄠ1" - ], - "摸": [ - "ㄇㄛ1", - "ㄇㄛ2" - ], - "摹": [ - "ㄇㄛ2", - "ㄇㄛ1" - ], - "摺": [ - "ㄓㄜ2", - "ㄌㄚ1", - "ㄒㄧㄝ2" - ], - "摻": [ - "ㄘㄢ4", - "ㄕㄢ3", - "ㄕㄢ1", - "ㄔㄢ1", - "ㄙㄣ1" - ], - "摼": [ - "ㄎㄥ1", - "ㄑㄧㄢ1" - ], - "摽": [ - "ㄅㄧㄠ1", - "ㄅㄧㄠ4", - "ㄆㄧㄠ1", - "ㄆㄠ1" - ], - "摾": [ - "ㄐㄧㄤ4" - ], - "摿": [ - "ㄧㄠ2" - ], - "撀": [ - "ㄍㄡ4" - ], - "撁": [ - "ㄑㄧㄢ1", - "ㄑㄧㄢ4" - ], - "撂": [ - "ㄌㄧㄠ4" - ], - "撃": [ - "ㄐㄧ1" - ], - "撄": [ - "ㄧㄥ1" - ], - "撅": [ - "ㄐㄩㄝ1", - "ㄐㄩㄝ4", - "ㄐㄩㄝ2", - "ㄍㄨㄟ4" - ], - "撆": [ - "ㄆㄧㄝ1" - ], - "撇": [ - "ㄆㄧㄝ1", - "ㄆㄧㄝ3", - "ㄅㄧㄝ1" - ], - "撈": [ - "ㄌㄠ1" - ], - "撉": [ - "ㄉㄨㄣ1" - ], - "撊": [ - "ㄒㄧㄢ4" - ], - "撋": [ - "ㄖㄨㄢ2", - "ㄖㄨㄟ2", - "ㄖㄨㄣ2", - "ㄖㄨㄛ2", - "ㄙㄨㄟ1" - ], - "撌": [ - "ㄍㄨㄟ4" - ], - "撍": [ - "ㄗㄢ3", - "ㄗㄢ1", - "ㄗㄣ1", - "ㄑㄧㄢ2" - ], - "撎": [ - "ㄧ4" - ], - "撏": [ - "ㄒㄧㄢ2", - "ㄒㄩㄣ2" - ], - "撐": [ - "ㄔㄥ1" - ], - "撑": [ - "ㄔㄥ1" - ], - "撒": [ - "ㄙㄚ1", - "ㄙㄚ3" - ], - "撓": [ - "ㄋㄠ2", - "ㄒㄧㄠ1", - "ㄖㄠ4" - ], - "撔": [ - "ㄏㄨㄥ4" - ], - "撕": [ - "ㄙ1", - "ㄒㄧ1" - ], - "撖": [ - "ㄏㄢ4", - "ㄑㄧㄢ3" - ], - "撗": [ - "ㄍㄨㄤ4" - ], - "撘": [ - "ㄉㄚ1" - ], - "撙": [ - "ㄗㄨㄣ3" - ], - "撚": [ - "ㄋㄧㄢ3" - ], - "撛": [ - "ㄌㄧㄣ3" - ], - "撜": [ - "ㄓㄥ3", - "ㄔㄥ2" - ], - "撝": [ - "ㄏㄨㄟ1", - "ㄨㄟ2" - ], - "撞": [ - "ㄓㄨㄤ4" - ], - "撟": [ - "ㄐㄧㄠ3", - "ㄐㄧㄠ1", - "ㄎㄠ3" - ], - "撠": [ - "ㄐㄧ3" - ], - "撡": [ - "ㄘㄠ1" - ], - "撢": [ - "ㄉㄢ3", - "ㄊㄢ4", - "ㄉㄢ4", - "ㄒㄧㄣ2" - ], - "撣": [ - "ㄉㄢ3", - "ㄉㄢ4", - "ㄔㄢ2", - "ㄊㄢ1", - "ㄓㄢ3", - "ㄕㄢ4", - "ㄊㄧㄢ2" - ], - "撤": [ - "ㄔㄜ4" - ], - "撥": [ - "ㄅㄛ1", - "ㄈㄚ2" - ], - "撦": [ - "ㄔㄜ3" - ], - "撧": [ - "ㄐㄩㄝ1" - ], - "撨": [ - "ㄈㄨ3", - "ㄒㄧㄠ1", - "ㄙㄡ1" - ], - "撩": [ - "ㄌㄧㄠ1", - "ㄌㄧㄠ2", - "ㄌㄧㄠ3", - "ㄌㄠ4", - "ㄌㄧㄠ4" - ], - "撪": [ - "ㄅㄣ4" - ], - "撫": [ - "ㄈㄨ3", - "ㄇㄛ2" - ], - "撬": [ - "ㄑㄧㄠ4" - ], - "播": [ - "ㄅㄛ1", - "ㄅㄛ3" - ], - "撮": [ - "ㄘㄨㄛ1", - "ㄗㄨㄛ3", - "ㄗㄨㄟ4", - "ㄗㄨㄢ1", - "ㄔㄨㄚ1" - ], - "撯": [ - "ㄓㄨㄛ2" - ], - "撰": [ - "ㄓㄨㄢ4", - "ㄒㄩㄢ3", - "ㄙㄨㄢ4" - ], - "撱": [ - "ㄨㄟ3", - "ㄊㄨㄛ3" - ], - "撲": [ - "ㄆㄨ1", - "ㄅㄨ3" - ], - "撳": [ - "ㄑㄧㄣ4" - ], - "撴": [ - "ㄉㄨㄣ1" - ], - "撵": [ - "ㄋㄧㄢ3" - ], - "撶": [ - "ㄏㄨㄚ2" - ], - "撷": [ - "ㄒㄧㄝ2" - ], - "撸": [ - "ㄌㄨ1" - ], - "撹": [ - "ㄐㄧㄠ3" - ], - "撺": [ - "ㄘㄨㄢ1" - ], - "撻": [ - "ㄊㄚ4" - ], - "撼": [ - "ㄏㄢ4" - ], - "撽": [ - "ㄑㄧㄠ4", - "ㄧㄠ1", - "ㄐㄧ1" - ], - "撾": [ - "ㄨㄛ1", - "ㄓㄨㄚ1" - ], - "撿": [ - "ㄐㄧㄢ3", - "ㄌㄧㄢ4" - ], - "擀": [ - "ㄍㄢ3" - ], - "擁": [ - "ㄩㄥ1" - ], - "擂": [ - "ㄌㄟ2", - "ㄌㄟ4", - "ㄌㄟ1" - ], - "擃": [ - "ㄋㄤ3" - ], - "擄": [ - "ㄌㄨ3" - ], - "擅": [ - "ㄕㄢ4" - ], - "擆": [ - "ㄓㄨㄛ2" - ], - "擇": [ - "ㄗㄜ2", - "ㄓㄞ2", - "ㄧ4" - ], - "擈": [ - "ㄆㄨ1" - ], - "擉": [ - "ㄔㄨㄛ4" - ], - "擊": [ - "ㄐㄧ1", - "ㄐㄧ4", - "ㄒㄧ2" - ], - "擋": [ - "ㄉㄤ3", - "ㄉㄤ4" - ], - "擌": [ - "ㄙㄜ4" - ], - "操": [ - "ㄘㄠ1" - ], - "擎": [ - "ㄑㄧㄥ2" - ], - "擏": [ - "ㄑㄧㄥ2", - "ㄐㄧㄥ3", - "ㄐㄧㄥ4" - ], - "擐": [ - "ㄏㄨㄢ4", - "ㄐㄩㄢ3", - "ㄒㄩㄢ1" - ], - "擑": [ - "ㄐㄧㄝ1" - ], - "擒": [ - "ㄑㄧㄣ2" - ], - "擓": [ - "ㄎㄨㄞ3" - ], - "擔": [ - "ㄉㄢ1", - "ㄉㄢ4", - "ㄕㄢ4" - ], - "擕": [ - "ㄒㄧㄝ2" - ], - "擖": [ - "ㄎㄚ1", - "ㄑㄧㄚ1", - "ㄐㄧㄚ1", - "ㄓㄚ2", - "ㄍㄨㄚ1", - "ㄧㄝ4", - "ㄍㄜ1", - "ㄌㄧㄝ4" - ], - "擗": [ - "ㄆㄧ3", - "ㄅㄛ4" - ], - "擘": [ - "ㄅㄞ1", - "ㄅㄛ4" - ], - "擙": [ - "ㄠ4" - ], - "據": [ - "ㄐㄩ4" - ], - "擛": [ - "ㄧㄝ4" - ], - "擜": [ - "ㄜ4" - ], - "擝": [ - "ㄇㄥ1" - ], - "擞": [ - "ㄙㄡ3", - "ㄙㄡ4" - ], - "擟": [ - "ㄇㄧ2" - ], - "擠": [ - "ㄐㄧ3" - ], - "擡": [ - "ㄊㄞ2" - ], - "擢": [ - "ㄓㄨㄛ2" - ], - "擣": [ - "ㄉㄠ3", - "ㄔㄡ2" - ], - "擤": [ - "ㄒㄧㄥ3" - ], - "擥": [ - "ㄌㄢ3" - ], - "擦": [ - "ㄘㄚ1" - ], - "擧": [ - "ㄐㄩ3" - ], - "擨": [ - "ㄧㄝ2" - ], - "擩": [ - "ㄖㄨ3", - "ㄋㄨ3", - "ㄖㄨ4", - "ㄋㄡ4", - "ㄖㄨㄢ2" - ], - "擪": [ - "ㄧㄝ4" - ], - "擫": [ - "ㄧㄝ4" - ], - "擬": [ - "ㄋㄧ3" - ], - "擭": [ - "ㄨㄛ4", - "ㄏㄨㄛ4", - "ㄏㄨ4" - ], - "擮": [ - "ㄐㄧㄝ2" - ], - "擯": [ - "ㄅㄧㄣ4" - ], - "擰": [ - "ㄋㄧㄥ2", - "ㄋㄧㄥ3", - "ㄋㄧㄥ4" - ], - "擱": [ - "ㄍㄜ1", - "ㄍㄜ2" - ], - "擲": [ - "ㄓ4", - "ㄓ1" - ], - "擳": [ - "ㄓ4", - "ㄐㄧㄝ2" - ], - "擴": [ - "ㄎㄨㄛ4", - "ㄊㄤ3", - "ㄍㄨㄤ4" - ], - "擵": [ - "ㄇㄛ2" - ], - "擶": [ - "ㄐㄧㄢ4" - ], - "擷": [ - "ㄒㄧㄝ2" - ], - "擸": [ - "ㄌㄧㄝ4", - "ㄌㄚ4" - ], - "擹": [ - "ㄊㄢ1" - ], - "擺": [ - "ㄅㄞ3" - ], - "擻": [ - "ㄙㄡ3", - "ㄙㄡ4" - ], - "擼": [ - "ㄌㄨ3", - "ㄌㄨ1" - ], - "擽": [ - "ㄌㄩㄝ4", - "ㄌㄧ4", - "ㄩㄝ4" - ], - "擾": [ - "ㄖㄠ3" - ], - "擿": [ - "ㄊㄧ1", - "ㄓ4", - "ㄓㄞ1" - ], - "攀": [ - "ㄆㄢ1" - ], - "攁": [ - "ㄧㄤ3" - ], - "攂": [ - "ㄌㄟ4" - ], - "攃": [ - "ㄘㄚ1", - "ㄙㄚ3" - ], - "攄": [ - "ㄕㄨ1", - "ㄌㄨ4" - ], - "攅": [ - "ㄗㄢ3" - ], - "攆": [ - "ㄋㄧㄢ3" - ], - "攇": [ - "ㄒㄧㄢ3" - ], - "攈": [ - "ㄐㄩㄣ4", - "ㄆㄟ4" - ], - "攉": [ - "ㄏㄨㄛ1", - "ㄏㄨㄛ4", - "ㄑㄩㄝ4" - ], - "攊": [ - "ㄌㄧ4" - ], - "攋": [ - "ㄌㄚ4", - "ㄌㄞ4" - ], - "攌": [ - "ㄏㄨㄢ3" - ], - "攍": [ - "ㄧㄥ2" - ], - "攎": [ - "ㄌㄨ2", - "ㄌㄨㄛ2" - ], - "攏": [ - "ㄌㄨㄥ3" - ], - "攐": [ - "ㄑㄧㄢ1" - ], - "攑": [ - "ㄑㄧㄢ1" - ], - "攒": [ - "ㄗㄢ3", - "ㄘㄨㄢ2" - ], - "攓": [ - "ㄑㄧㄢ1" - ], - "攔": [ - "ㄌㄢ2" - ], - "攕": [ - "ㄒㄧㄢ1", - "ㄐㄧㄢ1" - ], - "攖": [ - "ㄧㄥ1" - ], - "攗": [ - "ㄇㄟ2" - ], - "攘": [ - "ㄖㄤ3", - "ㄖㄤ4", - "ㄋㄧㄥ2", - "ㄒㄧㄤ3" - ], - "攙": [ - "ㄔㄢ1", - "ㄕㄢ4" - ], - "攚": [ - "ㄨㄥ3" - ], - "攛": [ - "ㄘㄨㄢ1" - ], - "攜": [ - "ㄒㄧㄝ2" - ], - "攝": [ - "ㄕㄜ4", - "ㄓㄜ2", - "ㄋㄧㄝ4", - "ㄕㄚ4" - ], - "攞": [ - "ㄌㄨㄛ2", - "ㄌㄨㄛ3" - ], - "攟": [ - "ㄐㄩㄣ4" - ], - "攠": [ - "ㄇㄧ2", - "ㄇㄛ2" - ], - "攡": [ - "ㄔ1" - ], - "攢": [ - "ㄗㄢ3", - "ㄘㄨㄢ2", - "ㄗㄨㄢ1", - "ㄗㄢ4" - ], - "攣": [ - "ㄌㄨㄢ2", - "ㄌㄧㄢ4" - ], - "攤": [ - "ㄊㄢ1", - "ㄋㄢ4" - ], - "攥": [ - "ㄗㄨㄢ4" - ], - "攦": [ - "ㄌㄧ4", - "ㄕㄞ4" - ], - "攧": [ - "ㄉㄧㄢ1" - ], - "攨": [ - "ㄨㄚ1" - ], - "攩": [ - "ㄉㄤ3", - "ㄊㄤ3" - ], - "攪": [ - "ㄐㄧㄠ3" - ], - "攫": [ - "ㄐㄩㄝ2" - ], - "攬": [ - "ㄌㄢ3" - ], - "攭": [ - "ㄌㄧ4", - "ㄌㄨㄛ3" - ], - "攮": [ - "ㄋㄤ3" - ], - "支": [ - "ㄓ1", - "ㄓ4", - "ㄑㄧ2" - ], - "攰": [ - "ㄍㄨㄟ4" - ], - "攱": [ - "ㄍㄨㄟ3", - "ㄍㄨㄟ4" - ], - "攲": [ - "ㄑㄧ1", - "ㄐㄧ1" - ], - "攳": [ - "ㄒㄩㄣ2" - ], - "攴": [ - "ㄆㄨ1" - ], - "攵": [ - "ㄆㄨ1" - ], - "收": [ - "ㄕㄡ1" - ], - "攷": [ - "ㄎㄠ3" - ], - "攸": [ - "ㄧㄡ1" - ], - "改": [ - "ㄍㄞ3" - ], - "攺": [ - "ㄧ3" - ], - "攻": [ - "ㄍㄨㄥ1" - ], - "攼": [ - "ㄍㄢ1", - "ㄏㄢ4" - ], - "攽": [ - "ㄅㄢ1", - "ㄅㄧㄣ1" - ], - "放": [ - "ㄈㄤ4", - "ㄈㄤ3", - "ㄈㄤ1" - ], - "政": [ - "ㄓㄥ4", - "ㄓㄥ1" - ], - "敀": [ - "ㄆㄛ4" - ], - "敁": [ - "ㄉㄧㄢ1" - ], - "敂": [ - "ㄎㄡ4" - ], - "敃": [ - "ㄇㄧㄣ3", - "ㄈㄣ1" - ], - "敄": [ - "ㄨ4", - "ㄇㄡ2" - ], - "故": [ - "ㄍㄨ4" - ], - "敆": [ - "ㄏㄜ2" - ], - "敇": [ - "ㄘㄜ4" - ], - "效": [ - "ㄒㄧㄠ4" - ], - "敉": [ - "ㄇㄧ3" - ], - "敊": [ - "ㄔㄨ4", - "ㄕㄡ1" - ], - "敋": [ - "ㄍㄜ2" - ], - "敌": [ - "ㄉㄧ2", - "ㄏㄨㄚ2" - ], - "敍": [ - "ㄒㄩ4" - ], - "敎": [ - "ㄐㄧㄠ4" - ], - "敏": [ - "ㄇㄧㄣ3" - ], - "敐": [ - "ㄔㄣ2" - ], - "救": [ - "ㄐㄧㄡ4", - "ㄐㄧㄡ1" - ], - "敒": [ - "ㄕㄣ1" - ], - "敓": [ - "ㄉㄨㄛ2" - ], - "敔": [ - "ㄩ3", - "ㄩ4" - ], - "敕": [ - "ㄔ4", - "ㄙㄡ1" - ], - "敖": [ - "ㄠ2", - "ㄠ4" - ], - "敗": [ - "ㄅㄞ4" - ], - "敘": [ - "ㄒㄩ4" - ], - "教": [ - "ㄐㄧㄠ4", - "ㄐㄧㄠ1" - ], - "敚": [ - "ㄉㄨㄛ2" - ], - "敛": [ - "ㄌㄧㄢ3" - ], - "敜": [ - "ㄋㄧㄝ4" - ], - "敝": [ - "ㄅㄧ4" - ], - "敞": [ - "ㄔㄤ3", - "ㄔㄥ4", - "ㄓㄥ4" - ], - "敟": [ - "ㄉㄧㄢ3" - ], - "敠": [ - "ㄉㄨㄛ1", - "ㄑㄩㄝ4" - ], - "敡": [ - "ㄧ4" - ], - "敢": [ - "ㄍㄢ3" - ], - "散": [ - "ㄙㄢ4", - "ㄙㄢ3", - "ㄙㄢ1" - ], - "敤": [ - "ㄎㄜ3" - ], - "敥": [ - "ㄧㄢ4", - "ㄐㄧㄠ3" - ], - "敦": [ - "ㄉㄨㄣ1", - "ㄉㄨㄟ1", - "ㄊㄨㄢ2", - "ㄉㄧㄠ1", - "ㄉㄨㄣ4", - "ㄉㄠ4", - "ㄓㄨㄣ3", - "ㄊㄨㄣ1", - "ㄉㄨㄟ4", - "ㄊㄨㄣ2" - ], - "敧": [ - "ㄐㄧ1", - "ㄑㄧ3" - ], - "敨": [ - "ㄊㄡ3" - ], - "敩": [ - "ㄒㄧㄠ4", - "ㄒㄩㄝ2" - ], - "敪": [ - "ㄉㄨㄛ1" - ], - "敫": [ - "ㄐㄧㄠ3", - "ㄑㄧㄠ1", - "ㄐㄧㄠ4" - ], - "敬": [ - "ㄐㄧㄥ4" - ], - "敭": [ - "ㄧㄤ2" - ], - "敮": [ - "ㄒㄧㄚ2" - ], - "敯": [ - "ㄇㄧㄣ3" - ], - "数": [ - "ㄕㄨ4", - "ㄕㄨ3", - "ㄕㄨㄛ4" - ], - "敱": [ - "ㄞ2", - "ㄓㄨ2" - ], - "敲": [ - "ㄑㄧㄠ1" - ], - "敳": [ - "ㄞ2" - ], - "整": [ - "ㄓㄥ3" - ], - "敵": [ - "ㄉㄧ2" - ], - "敶": [ - "ㄓㄣ4" - ], - "敷": [ - "ㄈㄨ1" - ], - "數": [ - "ㄕㄨ4", - "ㄕㄨ3", - "ㄕㄨㄛ4" - ], - "敹": [ - "ㄌㄧㄠ2" - ], - "敺": [ - "ㄑㄩ1", - "ㄡ1" - ], - "敻": [ - "ㄒㄩㄥ4" - ], - "敼": [ - "ㄧ3" - ], - "敽": [ - "ㄐㄧㄠ3" - ], - "敾": [ - "ㄕㄢ4" - ], - "敿": [ - "ㄐㄧㄠ3" - ], - "斀": [ - "ㄓㄨㄛ2", - "ㄓㄨ2" - ], - "斁": [ - "ㄧ4", - "ㄉㄨ4", - "ㄊㄨ2" - ], - "斂": [ - "ㄌㄧㄢ3", - "ㄌㄧㄢ2" - ], - "斃": [ - "ㄅㄧ4" - ], - "斄": [ - "ㄌㄧ2", - "ㄊㄞ2" - ], - "斅": [ - "ㄒㄧㄠ4", - "ㄒㄩㄝ2" - ], - "斆": [ - "ㄒㄧㄠ4" - ], - "文": [ - "ㄨㄣ2" - ], - "斈": [ - "ㄒㄩㄝ2" - ], - "斉": [ - "ㄑㄧ2" - ], - "斊": [ - "ㄑㄧ2" - ], - "斋": [ - "ㄓㄞ1" - ], - "斌": [ - "ㄅㄧㄣ1" - ], - "斍": [ - "ㄐㄩㄝ2" - ], - "斎": [ - "ㄓㄞ1" - ], - "斏": [ - "ㄌㄤ2" - ], - "斐": [ - "ㄈㄟ3" - ], - "斑": [ - "ㄅㄢ1" - ], - "斒": [ - "ㄅㄢ1" - ], - "斓": [ - "ㄌㄢ2" - ], - "斔": [ - "ㄩ3" - ], - "斕": [ - "ㄌㄢ2" - ], - "斖": [ - "ㄨㄟ3" - ], - "斗": [ - "ㄉㄡ4", - "ㄉㄡ3", - "ㄓㄨ3" - ], - "斘": [ - "ㄕㄥ1" - ], - "料": [ - "ㄌㄧㄠ4", - "ㄌㄧㄠ2" - ], - "斚": [ - "ㄐㄧㄚ3" - ], - "斛": [ - "ㄏㄨ2" - ], - "斜": [ - "ㄒㄧㄝ2", - "ㄒㄧㄚ2", - "ㄔㄚ2", - "ㄧㄝ2" - ], - "斝": [ - "ㄐㄧㄚ3" - ], - "斞": [ - "ㄩ3" - ], - "斟": [ - "ㄓㄣ1" - ], - "斠": [ - "ㄐㄧㄠ4" - ], - "斡": [ - "ㄨㄛ4", - "ㄍㄨㄢ3" - ], - "斢": [ - "ㄊㄧㄠ3", - "ㄊㄡ3" - ], - "斣": [ - "ㄉㄡ4" - ], - "斤": [ - "ㄐㄧㄣ1" - ], - "斥": [ - "ㄔ4", - "ㄔㄜ4", - "ㄓㄜ4" - ], - "斦": [ - "ㄧㄣ2", - "ㄓ4" - ], - "斧": [ - "ㄈㄨ3" - ], - "斨": [ - "ㄑㄧㄤ1" - ], - "斩": [ - "ㄓㄢ3" - ], - "斪": [ - "ㄑㄩ2" - ], - "斫": [ - "ㄓㄨㄛ2", - "ㄔㄨㄛ4" - ], - "斬": [ - "ㄓㄢ3", - "ㄓㄢ4" - ], - "断": [ - "ㄉㄨㄢ4" - ], - "斮": [ - "ㄘㄨㄛ4", - "ㄓㄨㄛ2" - ], - "斯": [ - "ㄙ1", - "ㄕ3" - ], - "新": [ - "ㄒㄧㄣ1" - ], - "斱": [ - "ㄓㄨㄛ2" - ], - "斲": [ - "ㄓㄨㄛ2" - ], - "斳": [ - "ㄑㄧㄣ2", - "ㄐㄧㄣ3" - ], - "斴": [ - "ㄌㄧㄣ2" - ], - "斵": [ - "ㄓㄨㄛ2" - ], - "斶": [ - "ㄔㄨ4" - ], - "斷": [ - "ㄉㄨㄢ4" - ], - "斸": [ - "ㄓㄨ3", - "ㄓㄨ2" - ], - "方": [ - "ㄈㄤ1", - "ㄈㄤ2", - "ㄈㄤ3", - "ㄆㄤ2", - "ㄨㄤ3", - "ㄈㄥ1" - ], - "斺": [ - "ㄔㄢ3", - "ㄐㄧㄝ4" - ], - "斻": [ - "ㄏㄤ2" - ], - "於": [ - "ㄩ2", - "ㄩ1", - "ㄨ1" - ], - "施": [ - "ㄕ1", - "ㄧ4", - "ㄕ3" - ], - "斾": [ - "ㄆㄟ4" - ], - "斿": [ - "ㄧㄡ2", - "ㄌㄧㄡ2" - ], - "旀": [ - "ㄇㄟ4" - ], - "旁": [ - "ㄆㄤ2", - "ㄆㄥ1", - "ㄅㄥ1", - "ㄅㄤ4" - ], - "旂": [ - "ㄑㄧ2" - ], - "旃": [ - "ㄓㄢ1" - ], - "旄": [ - "ㄇㄠ2", - "ㄇㄠ4", - "ㄨ4" - ], - "旅": [ - "ㄌㄩ3" - ], - "旆": [ - "ㄆㄟ4" - ], - "旇": [ - "ㄆㄧ1", - "ㄅㄧ4" - ], - "旈": [ - "ㄌㄧㄡ2" - ], - "旉": [ - "ㄈㄨ1" - ], - "旊": [ - "ㄈㄤ3" - ], - "旋": [ - "ㄒㄩㄢ2", - "ㄒㄩㄢ4" - ], - "旌": [ - "ㄐㄧㄥ1" - ], - "旍": [ - "ㄐㄧㄥ1" - ], - "旎": [ - "ㄋㄧ3" - ], - "族": [ - "ㄗㄨ2", - "ㄙㄡ3", - "ㄘㄡ4", - "ㄗㄡ4" - ], - "旐": [ - "ㄓㄠ4" - ], - "旑": [ - "ㄧ3" - ], - "旒": [ - "ㄌㄧㄡ2" - ], - "旓": [ - "ㄕㄠ1" - ], - "旔": [ - "ㄐㄧㄢ4" - ], - "旕": [ - "ㄩ2" - ], - "旖": [ - "ㄧ3" - ], - "旗": [ - "ㄑㄧ2" - ], - "旘": [ - "ㄓ4" - ], - "旙": [ - "ㄈㄢ1" - ], - "旚": [ - "ㄆㄧㄠ1" - ], - "旛": [ - "ㄈㄢ1" - ], - "旜": [ - "ㄓㄢ1" - ], - "旝": [ - "ㄎㄨㄞ4" - ], - "旞": [ - "ㄙㄨㄟ4" - ], - "旟": [ - "ㄩ2" - ], - "无": [ - "ㄨ2", - "ㄇㄛ2" - ], - "旡": [ - "ㄐㄧ4" - ], - "既": [ - "ㄐㄧ4", - "ㄒㄧ4" - ], - "旣": [ - "ㄐㄧ4" - ], - "旤": [ - "ㄏㄨㄛ4" - ], - "日": [ - "ㄖ4" - ], - "旦": [ - "ㄉㄢ4" - ], - "旧": [ - "ㄐㄧㄡ4" - ], - "旨": [ - "ㄓ3" - ], - "早": [ - "ㄗㄠ3" - ], - "旪": [ - "ㄒㄧㄝ2" - ], - "旫": [ - "ㄊㄧㄠ1" - ], - "旬": [ - "ㄒㄩㄣ2", - "ㄐㄩㄣ1" - ], - "旭": [ - "ㄒㄩ4" - ], - "旮": [ - "ㄍㄚ1", - "ㄒㄩ4" - ], - "旯": [ - "ㄌㄚ2" - ], - "旰": [ - "ㄍㄢ4", - "ㄏㄢ4" - ], - "旱": [ - "ㄏㄢ4" - ], - "旲": [ - "ㄊㄞ2", - "ㄧㄥ1" - ], - "旳": [ - "ㄉㄧ4" - ], - "旴": [ - "ㄒㄩ1" - ], - "旵": [ - "ㄔㄢ3" - ], - "时": [ - "ㄕ2" - ], - "旷": [ - "ㄎㄨㄤ4" - ], - "旸": [ - "ㄧㄤ2" - ], - "旹": [ - "ㄕ2" - ], - "旺": [ - "ㄨㄤ4" - ], - "旻": [ - "ㄇㄧㄣ2" - ], - "旼": [ - "ㄇㄧㄣ2" - ], - "旽": [ - "ㄊㄨㄣ1", - "ㄓㄨㄣ4" - ], - "旾": [ - "ㄔㄨㄣ1" - ], - "旿": [ - "ㄨ3", - "ㄨ4" - ], - "昀": [ - "ㄩㄣ2" - ], - "昁": [ - "ㄅㄟ4" - ], - "昂": [ - "ㄤ2", - "ㄧㄤ4" - ], - "昃": [ - "ㄗㄜ4" - ], - "昄": [ - "ㄅㄢ3" - ], - "昅": [ - "ㄐㄧㄝ2" - ], - "昆": [ - "ㄎㄨㄣ1", - "ㄏㄨㄣ2", - "ㄎㄨㄣ4" - ], - "昇": [ - "ㄕㄥ1" - ], - "昈": [ - "ㄏㄨ4" - ], - "昉": [ - "ㄈㄤ3" - ], - "昊": [ - "ㄏㄠ4" - ], - "昋": [ - "ㄍㄨㄟ4", - "ㄐㄩㄥ3" - ], - "昌": [ - "ㄔㄤ1", - "ㄔㄤ4" - ], - "昍": [ - "ㄒㄩㄢ1" - ], - "明": [ - "ㄇㄧㄥ2", - "ㄇㄥ4" - ], - "昏": [ - "ㄏㄨㄣ1", - "ㄏㄨㄣ4" - ], - "昐": [ - "ㄈㄣ1" - ], - "昑": [ - "ㄑㄧㄣ3" - ], - "昒": [ - "ㄏㄨ1" - ], - "易": [ - "ㄧ4" - ], - "昔": [ - "ㄒㄧ1", - "ㄘㄨㄛ4" - ], - "昕": [ - "ㄒㄧㄣ1", - "ㄒㄩㄢ1" - ], - "昖": [ - "ㄧㄢ2" - ], - "昗": [ - "ㄗㄜ4" - ], - "昘": [ - "ㄈㄤ3" - ], - "昙": [ - "ㄊㄢ2", - "ㄩ4" - ], - "昚": [ - "ㄕㄣ4" - ], - "昛": [ - "ㄐㄩ4" - ], - "昜": [ - "ㄧㄤ2" - ], - "昝": [ - "ㄗㄢ3" - ], - "昞": [ - "ㄅㄧㄥ3", - "ㄈㄤ3" - ], - "星": [ - "ㄒㄧㄥ1" - ], - "映": [ - "ㄧㄥ4", - "ㄧㄤ3" - ], - "昡": [ - "ㄒㄩㄢ4" - ], - "昢": [ - "ㄆㄛ4", - "ㄆㄟ4" - ], - "昣": [ - "ㄓㄣ3" - ], - "昤": [ - "ㄌㄧㄥ2" - ], - "春": [ - "ㄔㄨㄣ1", - "ㄔㄨㄣ3" - ], - "昦": [ - "ㄏㄠ4" - ], - "昧": [ - "ㄇㄟ4", - "ㄨㄣ3", - "ㄇㄛ4" - ], - "昨": [ - "ㄗㄨㄛ2" - ], - "昩": [ - "ㄇㄛ4" - ], - "昪": [ - "ㄅㄧㄢ4" - ], - "昫": [ - "ㄒㄩ4", - "ㄒㄩㄥ3" - ], - "昬": [ - "ㄏㄨㄣ1" - ], - "昭": [ - "ㄓㄠ1", - "ㄓㄠ4" - ], - "昮": [ - "ㄗㄨㄥ4" - ], - "是": [ - "ㄕ4", - "ㄊㄧ2" - ], - "昰": [ - "ㄕ4", - "ㄒㄧㄚ4" - ], - "昱": [ - "ㄩ4" - ], - "昲": [ - "ㄈㄟ4" - ], - "昳": [ - "ㄉㄧㄝ2", - "ㄉㄧㄝ4", - "ㄧ4" - ], - "昴": [ - "ㄇㄠ3" - ], - "昵": [ - "ㄋㄧ4", - "ㄋㄧ3", - "ㄓ4" - ], - "昶": [ - "ㄔㄤ3" - ], - "昷": [ - "ㄨㄣ1" - ], - "昸": [ - "ㄉㄨㄥ1" - ], - "昹": [ - "ㄞ3" - ], - "昺": [ - "ㄅㄧㄥ3" - ], - "昻": [ - "ㄤ2" - ], - "昼": [ - "ㄓㄡ4" - ], - "昽": [ - "ㄌㄨㄥ2" - ], - "显": [ - "ㄒㄧㄢ3" - ], - "昿": [ - "ㄎㄨㄤ4" - ], - "晀": [ - "ㄊㄧㄠ3" - ], - "晁": [ - "ㄔㄠ2", - "ㄓㄠ1", - "ㄔㄠ4" - ], - "時": [ - "ㄕ2" - ], - "晃": [ - "ㄏㄨㄤ3", - "ㄏㄨㄤ4" - ], - "晄": [ - "ㄏㄨㄤ3" - ], - "晅": [ - "ㄒㄩㄢ3", - "ㄒㄩㄢ1" - ], - "晆": [ - "ㄎㄨㄟ2" - ], - "晇": [ - "ㄒㄩ1", - "ㄎㄨㄚ1" - ], - "晈": [ - "ㄐㄧㄠ3" - ], - "晉": [ - "ㄐㄧㄣ4" - ], - "晊": [ - "ㄓ4" - ], - "晋": [ - "ㄐㄧㄣ4" - ], - "晌": [ - "ㄕㄤ3" - ], - "晍": [ - "ㄊㄨㄥ2" - ], - "晎": [ - "ㄏㄨㄥ3" - ], - "晏": [ - "ㄧㄢ4" - ], - "晐": [ - "ㄍㄞ1" - ], - "晑": [ - "ㄒㄧㄤ3" - ], - "晒": [ - "ㄕㄞ4" - ], - "晓": [ - "ㄒㄧㄠ3" - ], - "晔": [ - "ㄧㄝ4" - ], - "晕": [ - "ㄩㄣ1", - "ㄩㄣ4" - ], - "晖": [ - "ㄏㄨㄟ1" - ], - "晗": [ - "ㄏㄢ2" - ], - "晘": [ - "ㄏㄢ4" - ], - "晙": [ - "ㄐㄩㄣ4" - ], - "晚": [ - "ㄨㄢ3" - ], - "晛": [ - "ㄒㄧㄢ4" - ], - "晜": [ - "ㄎㄨㄣ1" - ], - "晝": [ - "ㄓㄡ4" - ], - "晞": [ - "ㄒㄧ1" - ], - "晟": [ - "ㄔㄥ2", - "ㄕㄥ4", - "ㄐㄧㄥ1" - ], - "晠": [ - "ㄕㄥ4" - ], - "晡": [ - "ㄅㄨ1" - ], - "晢": [ - "ㄓㄜ2", - "ㄓ4" - ], - "晣": [ - "ㄓㄜ2" - ], - "晤": [ - "ㄨ4" - ], - "晥": [ - "ㄨㄢ3" - ], - "晦": [ - "ㄏㄨㄟ4" - ], - "晧": [ - "ㄏㄠ4" - ], - "晨": [ - "ㄔㄣ2" - ], - "晩": [ - "ㄨㄢ3" - ], - "晪": [ - "ㄊㄧㄢ3" - ], - "晫": [ - "ㄓㄨㄛ2" - ], - "晬": [ - "ㄗㄨㄟ4" - ], - "晭": [ - "ㄓㄡ3" - ], - "普": [ - "ㄆㄨ3" - ], - "景": [ - "ㄐㄧㄥ3", - "ㄧㄥ3" - ], - "晰": [ - "ㄒㄧ1" - ], - "晱": [ - "ㄕㄢ3" - ], - "晲": [ - "ㄋㄧ3" - ], - "晳": [ - "ㄒㄧ1" - ], - "晴": [ - "ㄑㄧㄥ2" - ], - "晵": [ - "ㄑㄧ3", - "ㄉㄨ4" - ], - "晶": [ - "ㄐㄧㄥ1" - ], - "晷": [ - "ㄍㄨㄟ3" - ], - "晸": [ - "ㄓㄥ3" - ], - "晹": [ - "ㄧ4" - ], - "智": [ - "ㄓ4", - "ㄓ1" - ], - "晻": [ - "ㄢ4", - "ㄢ3", - "ㄧㄢ3" - ], - "晼": [ - "ㄨㄢ3" - ], - "晽": [ - "ㄌㄧㄣ2" - ], - "晾": [ - "ㄌㄧㄤ4" - ], - "晿": [ - "ㄔㄤ1" - ], - "暀": [ - "ㄨㄤ3", - "ㄨㄤ4" - ], - "暁": [ - "ㄒㄧㄠ3" - ], - "暂": [ - "ㄗㄢ4" - ], - "暃": [ - "ㄈㄟ1" - ], - "暄": [ - "ㄒㄩㄢ1" - ], - "暅": [ - "ㄍㄥ4", - "ㄒㄩㄢ3" - ], - "暆": [ - "ㄧ2" - ], - "暇": [ - "ㄒㄧㄚ2", - "ㄒㄧㄚ4", - "ㄐㄧㄚ3" - ], - "暈": [ - "ㄩㄣ1", - "ㄩㄣ4" - ], - "暉": [ - "ㄏㄨㄟ1" - ], - "暊": [ - "ㄒㄩ3" - ], - "暋": [ - "ㄇㄧㄣ3", - "ㄇㄧㄣ2" - ], - "暌": [ - "ㄎㄨㄟ2" - ], - "暍": [ - "ㄧㄝ1" - ], - "暎": [ - "ㄧㄥ4" - ], - "暏": [ - "ㄕㄨ3", - "ㄉㄨ3" - ], - "暐": [ - "ㄨㄟ3" - ], - "暑": [ - "ㄕㄨ3" - ], - "暒": [ - "ㄑㄧㄥ2" - ], - "暓": [ - "ㄇㄠ4" - ], - "暔": [ - "ㄋㄢ2" - ], - "暕": [ - "ㄐㄧㄢ3", - "ㄌㄢ2" - ], - "暖": [ - "ㄋㄨㄢ3", - "ㄒㄩㄢ1" - ], - "暗": [ - "ㄢ4" - ], - "暘": [ - "ㄧㄤ2" - ], - "暙": [ - "ㄔㄨㄣ1" - ], - "暚": [ - "ㄧㄠ2" - ], - "暛": [ - "ㄙㄨㄛ3" - ], - "暜": [ - "ㄆㄨ3" - ], - "暝": [ - "ㄇㄧㄥ2" - ], - "暞": [ - "ㄐㄧㄠ3" - ], - "暟": [ - "ㄎㄞ3" - ], - "暠": [ - "ㄍㄠ3", - "ㄏㄠ4" - ], - "暡": [ - "ㄨㄥ3" - ], - "暢": [ - "ㄔㄤ4" - ], - "暣": [ - "ㄑㄧ4" - ], - "暤": [ - "ㄏㄠ4" - ], - "暥": [ - "ㄧㄢ4" - ], - "暦": [ - "ㄌㄧ4" - ], - "暧": [ - "ㄞ4", - "ㄋㄨㄢ3" - ], - "暨": [ - "ㄐㄧ4", - "ㄐㄧㄝ4" - ], - "暩": [ - "ㄐㄧ4" - ], - "暪": [ - "ㄇㄣ4" - ], - "暫": [ - "ㄗㄢ4" - ], - "暬": [ - "ㄒㄧㄝ4" - ], - "暭": [ - "ㄏㄠ4" - ], - "暮": [ - "ㄇㄨ4" - ], - "暯": [ - "ㄇㄛ4" - ], - "暰": [ - "ㄘㄨㄥ1" - ], - "暱": [ - "ㄋㄧ4" - ], - "暲": [ - "ㄓㄤ1" - ], - "暳": [ - "ㄏㄨㄟ4" - ], - "暴": [ - "ㄅㄠ4", - "ㄆㄨ4", - "ㄅㄛ2" - ], - "暵": [ - "ㄏㄢ4" - ], - "暶": [ - "ㄒㄩㄢ2" - ], - "暷": [ - "ㄔㄨㄢ2" - ], - "暸": [ - "ㄌㄧㄠ2" - ], - "暹": [ - "ㄒㄧㄢ1" - ], - "暺": [ - "ㄊㄢ3" - ], - "暻": [ - "ㄐㄧㄥ3" - ], - "暼": [ - "ㄆㄧㄝ1" - ], - "暽": [ - "ㄌㄧㄣ2" - ], - "暾": [ - "ㄊㄨㄣ1" - ], - "暿": [ - "ㄒㄧ3", - "ㄒㄧ1" - ], - "曀": [ - "ㄧ4" - ], - "曁": [ - "ㄐㄧ4" - ], - "曂": [ - "ㄏㄨㄤ4" - ], - "曃": [ - "ㄉㄞ4" - ], - "曄": [ - "ㄧㄝ4" - ], - "曅": [ - "ㄧㄝ4" - ], - "曆": [ - "ㄌㄧ4" - ], - "曇": [ - "ㄊㄢ2" - ], - "曈": [ - "ㄊㄨㄥ2" - ], - "曉": [ - "ㄒㄧㄠ3" - ], - "曊": [ - "ㄈㄟ4" - ], - "曋": [ - "ㄕㄣ3" - ], - "曌": [ - "ㄓㄠ4" - ], - "曍": [ - "ㄏㄠ4" - ], - "曎": [ - "ㄧ4" - ], - "曏": [ - "ㄒㄧㄤ3", - "ㄒㄧㄤ4", - "ㄕㄤ3" - ], - "曐": [ - "ㄒㄧㄥ1" - ], - "曑": [ - "ㄕㄣ1" - ], - "曒": [ - "ㄐㄧㄠ3" - ], - "曓": [ - "ㄅㄠ4" - ], - "曔": [ - "ㄐㄧㄥ4" - ], - "曕": [ - "ㄧㄢ4" - ], - "曖": [ - "ㄞ4" - ], - "曗": [ - "ㄧㄝ4" - ], - "曘": [ - "ㄖㄨ2" - ], - "曙": [ - "ㄕㄨ3" - ], - "曚": [ - "ㄇㄥ2" - ], - "曛": [ - "ㄒㄩㄣ1" - ], - "曜": [ - "ㄧㄠ4" - ], - "曝": [ - "ㄆㄨ4", - "ㄅㄠ4" - ], - "曞": [ - "ㄌㄧ4" - ], - "曟": [ - "ㄔㄣ2" - ], - "曠": [ - "ㄎㄨㄤ4" - ], - "曡": [ - "ㄉㄧㄝ2" - ], - "曢": [ - "ㄌㄧㄠ3" - ], - "曣": [ - "ㄧㄢ4" - ], - "曤": [ - "ㄏㄨㄛ4" - ], - "曥": [ - "ㄌㄨ2" - ], - "曦": [ - "ㄒㄧ1" - ], - "曧": [ - "ㄖㄨㄥ2" - ], - "曨": [ - "ㄌㄨㄥ2" - ], - "曩": [ - "ㄋㄤ3" - ], - "曪": [ - "ㄌㄨㄛ3" - ], - "曫": [ - "ㄌㄨㄢ2" - ], - "曬": [ - "ㄕㄞ4" - ], - "曭": [ - "ㄊㄤ3" - ], - "曮": [ - "ㄧㄢ3" - ], - "曯": [ - "ㄓㄨ2" - ], - "曰": [ - "ㄩㄝ1" - ], - "曱": [ - "ㄩㄝ1" - ], - "曲": [ - "ㄑㄩ1", - "ㄑㄩ3" - ], - "曳": [ - "ㄧㄝ4" - ], - "更": [ - "ㄍㄥ4", - "ㄍㄥ1" - ], - "曵": [ - "ㄧㄝ4" - ], - "曶": [ - "ㄏㄨ1" - ], - "曷": [ - "ㄏㄜ2", - "ㄜ4", - "ㄏㄜ4" - ], - "書": [ - "ㄕㄨ1" - ], - "曹": [ - "ㄘㄠ2" - ], - "曺": [ - "ㄘㄠ2" - ], - "曻": [ - "ㄕㄥ1" - ], - "曼": [ - "ㄇㄢ4" - ], - "曽": [ - "ㄘㄥ1" - ], - "曾": [ - "ㄘㄥ2", - "ㄗㄥ1" - ], - "替": [ - "ㄊㄧ4" - ], - "最": [ - "ㄗㄨㄟ4", - "ㄘㄨㄛ1" - ], - "朁": [ - "ㄘㄢ3", - "ㄑㄧㄢ2", - "ㄐㄧㄢ4" - ], - "朂": [ - "ㄒㄩ4" - ], - "會": [ - "ㄏㄨㄟ4", - "ㄎㄨㄞ4", - "ㄎㄨㄛ4" - ], - "朄": [ - "ㄧㄣ3" - ], - "朅": [ - "ㄑㄧㄝ4" - ], - "朆": [ - "ㄈㄣ1" - ], - "朇": [ - "ㄆㄧ2" - ], - "月": [ - "ㄩㄝ4", - "ㄖㄨ4" - ], - "有": [ - "ㄧㄡ3", - "ㄧㄡ4", - "ㄨㄟ3" - ], - "朊": [ - "ㄖㄨㄢ3", - "ㄨㄢ3" - ], - "朋": [ - "ㄆㄥ2" - ], - "朌": [ - "ㄈㄣ2", - "ㄅㄢ1" - ], - "服": [ - "ㄈㄨ2", - "ㄈㄨ4", - "ㄅㄧ4", - "ㄅㄛ2" - ], - "朎": [ - "ㄌㄧㄥ2" - ], - "朏": [ - "ㄈㄟ3", - "ㄎㄨ1" - ], - "朐": [ - "ㄑㄩ2", - "ㄒㄩ1", - "ㄒㄩ4", - "ㄔㄨㄣ3" - ], - "朑": [ - "ㄊㄧ4" - ], - "朒": [ - "ㄋㄩ4" - ], - "朓": [ - "ㄊㄧㄠ3", - "ㄊㄧㄠ4", - "ㄧㄡ2" - ], - "朔": [ - "ㄕㄨㄛ4" - ], - "朕": [ - "ㄓㄣ4" - ], - "朖": [ - "ㄌㄤ3" - ], - "朗": [ - "ㄌㄤ3" - ], - "朘": [ - "ㄗㄨㄟ1", - "ㄐㄩㄢ1" - ], - "朙": [ - "ㄇㄧㄥ2" - ], - "朚": [ - "ㄏㄨㄤ1", - "ㄇㄤ2", - "ㄨㄤ2", - "ㄇㄥ4" - ], - "望": [ - "ㄨㄤ4" - ], - "朜": [ - "ㄊㄨㄣ1" - ], - "朝": [ - "ㄔㄠ2", - "ㄓㄠ1", - "ㄓㄨ1" - ], - "朞": [ - "ㄐㄧ1", - "ㄑㄧ1" - ], - "期": [ - "ㄑㄧ1", - "ㄐㄧ1" - ], - "朠": [ - "ㄧㄥ1" - ], - "朡": [ - "ㄗㄨㄥ1" - ], - "朢": [ - "ㄨㄤ4" - ], - "朣": [ - "ㄊㄨㄥ2", - "ㄔㄨㄤ2" - ], - "朤": [ - "ㄌㄤ3" - ], - "朥": [ - "ㄌㄠ2" - ], - "朦": [ - "ㄇㄥ2", - "ㄇㄤ3" - ], - "朧": [ - "ㄌㄨㄥ2", - "ㄌㄨㄥ3" - ], - "木": [ - "ㄇㄨ4" - ], - "朩": [ - "ㄉㄥ3" - ], - "未": [ - "ㄨㄟ4" - ], - "末": [ - "ㄇㄛ4", - "ㄇㄜ5" - ], - "本": [ - "ㄅㄣ3", - "ㄅㄣ1" - ], - "札": [ - "ㄓㄚ2", - "ㄧㄚ4" - ], - "朮": [ - "ㄕㄨ4", - "ㄓㄨ2" - ], - "术": [ - "ㄕㄨ4", - "ㄓㄨ2", - "ㄕㄨ2" - ], - "朰": [ - "ㄇㄨ4" - ], - "朱": [ - "ㄓㄨ1", - "ㄕㄨ1" - ], - "朲": [ - "ㄖㄣ2" - ], - "朳": [ - "ㄅㄚ1" - ], - "朴": [ - "ㄆㄨ3", - "ㄆㄧㄠ2", - "ㄆㄛ4", - "ㄆㄨ1", - "ㄆㄛ1" - ], - "朵": [ - "ㄉㄨㄛ3" - ], - "朶": [ - "ㄉㄨㄛ3" - ], - "朷": [ - "ㄉㄠ1", - "ㄇㄨ4", - "ㄊㄧㄠ2" - ], - "朸": [ - "ㄌㄧ4" - ], - "朹": [ - "ㄍㄨㄟ3", - "ㄑㄧㄡ2" - ], - "机": [ - "ㄐㄧ1", - "ㄨㄟ4" - ], - "朻": [ - "ㄐㄧㄡ1" - ], - "朼": [ - "ㄅㄧ3" - ], - "朽": [ - "ㄒㄧㄡ3" - ], - "朾": [ - "ㄔㄥ2", - "ㄓㄥ1", - "ㄔㄥ1", - "ㄊㄧㄥ1" - ], - "朿": [ - "ㄘ4" - ], - "杀": [ - "ㄕㄚ1" - ], - "杁": [ - "ㄖㄨ4" - ], - "杂": [ - "ㄗㄚ2", - "ㄉㄨㄛ3" - ], - "权": [ - "ㄑㄩㄢ2" - ], - "杄": [ - "ㄑㄧㄢ1" - ], - "杅": [ - "ㄩ2", - "ㄨ1" - ], - "杆": [ - "ㄍㄢ1", - "ㄍㄢ3", - "ㄍㄢ4" - ], - "杇": [ - "ㄨ1" - ], - "杈": [ - "ㄔㄚ1", - "ㄔㄚ4" - ], - "杉": [ - "ㄕㄢ1", - "ㄕㄚ1" - ], - "杊": [ - "ㄒㄩㄣ2" - ], - "杋": [ - "ㄈㄢ2" - ], - "杌": [ - "ㄨ4", - "ㄨㄛ4" - ], - "杍": [ - "ㄗ3" - ], - "李": [ - "ㄌㄧ3" - ], - "杏": [ - "ㄒㄧㄥ4" - ], - "材": [ - "ㄘㄞ2" - ], - "村": [ - "ㄘㄨㄣ1" - ], - "杒": [ - "ㄖㄣ4", - "ㄦ2" - ], - "杓": [ - "ㄅㄧㄠ1", - "ㄕㄠ2", - "ㄕㄨㄛ2", - "ㄉㄧ2", - "ㄓㄨㄛ2" - ], - "杔": [ - "ㄊㄨㄛ1", - "ㄓㄜ2" - ], - "杕": [ - "ㄉㄧ4", - "ㄉㄨㄛ4" - ], - "杖": [ - "ㄓㄤ4" - ], - "杗": [ - "ㄇㄤ2" - ], - "杘": [ - "ㄔ4" - ], - "杙": [ - "ㄧ4" - ], - "杚": [ - "ㄍㄞ4", - "ㄍㄜ2" - ], - "杛": [ - "ㄍㄨㄥ1" - ], - "杜": [ - "ㄉㄨ4", - "ㄉㄨ3", - "ㄊㄨ2" - ], - "杝": [ - "ㄌㄧ2", - "ㄓ4", - "ㄧ2", - "ㄊㄨㄛ4", - "ㄉㄨㄛ4" - ], - "杞": [ - "ㄑㄧ3" - ], - "束": [ - "ㄕㄨ4" - ], - "杠": [ - "ㄍㄤ1", - "ㄍㄤ4", - "ㄍㄨㄥ1" - ], - "条": [ - "ㄊㄧㄠ2" - ], - "杢": [ - "ㄐㄧㄤ5" - ], - "杣": [ - "ㄇㄧㄢ2" - ], - "杤": [ - "ㄨㄢ4" - ], - "来": [ - "ㄌㄞ2" - ], - "杦": [ - "ㄐㄧㄡ3" - ], - "杧": [ - "ㄇㄤ2" - ], - "杨": [ - "ㄧㄤ2" - ], - "杩": [ - "ㄇㄚ4" - ], - "杪": [ - "ㄇㄧㄠ3" - ], - "杫": [ - "ㄙ4", - "ㄓ3", - "ㄒㄧ3" - ], - "杬": [ - "ㄩㄢ2", - "ㄩㄢ4" - ], - "杭": [ - "ㄏㄤ2", - "ㄎㄤ4", - "ㄎㄤ1" - ], - "杮": [ - "ㄈㄟ4", - "ㄅㄟ4" - ], - "杯": [ - "ㄅㄟ1" - ], - "杰": [ - "ㄐㄧㄝ2" - ], - "東": [ - "ㄉㄨㄥ1" - ], - "杲": [ - "ㄍㄠ3" - ], - "杳": [ - "ㄧㄠ3" - ], - "杴": [ - "ㄒㄧㄢ1", - "ㄑㄧㄢ1" - ], - "杵": [ - "ㄔㄨ3" - ], - "杶": [ - "ㄔㄨㄣ1" - ], - "杷": [ - "ㄆㄚ2", - "ㄅㄚ4" - ], - "杸": [ - "ㄕㄨ1", - "ㄉㄨㄟ4" - ], - "杹": [ - "ㄏㄨㄚ4" - ], - "杺": [ - "ㄒㄧㄣ1" - ], - "杻": [ - "ㄔㄡ3", - "ㄋㄧㄡ3" - ], - "杼": [ - "ㄓㄨ4", - "ㄕㄨ4" - ], - "杽": [ - "ㄔㄡ3" - ], - "松": [ - "ㄙㄨㄥ1" - ], - "板": [ - "ㄅㄢ3" - ], - "枀": [ - "ㄙㄨㄥ1" - ], - "极": [ - "ㄐㄧ2" - ], - "枂": [ - "ㄨㄛ4", - "ㄩㄝ4" - ], - "枃": [ - "ㄐㄧㄣ4" - ], - "构": [ - "ㄍㄡ4" - ], - "枅": [ - "ㄐㄧ1" - ], - "枆": [ - "ㄇㄠ2" - ], - "枇": [ - "ㄆㄧ2", - "ㄅㄧ3", - "ㄅㄧ4", - "ㄆㄧ1" - ], - "枈": [ - "ㄅㄧ4", - "ㄆㄧ1" - ], - "枉": [ - "ㄨㄤ3", - "ㄎㄨㄤ2" - ], - "枊": [ - "ㄤ4" - ], - "枋": [ - "ㄈㄤ1", - "ㄈㄤ3", - "ㄅㄧㄥ3" - ], - "枌": [ - "ㄈㄣ2" - ], - "枍": [ - "ㄧ4" - ], - "枎": [ - "ㄈㄨ2", - "ㄈㄨ1" - ], - "枏": [ - "ㄋㄢ2" - ], - "析": [ - "ㄒㄧ1", - "ㄙ1" - ], - "枑": [ - "ㄏㄨ4" - ], - "枒": [ - "ㄧㄚ1", - "ㄧㄝ1", - "ㄧㄚ2", - "ㄧㄚ4" - ], - "枓": [ - "ㄉㄡ3", - "ㄓㄨ3" - ], - "枔": [ - "ㄒㄧㄣ2" - ], - "枕": [ - "ㄓㄣ3", - "ㄔㄣ2" - ], - "枖": [ - "ㄧㄠ1", - "ㄧㄠ3" - ], - "林": [ - "ㄌㄧㄣ2" - ], - "枘": [ - "ㄖㄨㄟ4", - "ㄋㄣ4" - ], - "枙": [ - "ㄜ3", - "ㄜ4" - ], - "枚": [ - "ㄇㄟ2" - ], - "枛": [ - "ㄓㄠ4" - ], - "果": [ - "ㄍㄨㄛ3", - "ㄌㄨㄛ3", - "ㄍㄨㄢ4" - ], - "枝": [ - "ㄓ1", - "ㄑㄧ2" - ], - "枞": [ - "ㄘㄨㄥ1", - "ㄗㄨㄥ1" - ], - "枟": [ - "ㄩㄣ4" - ], - "枠": [ - "ㄗㄨㄟ5" - ], - "枡": [ - "ㄕㄥ1" - ], - "枢": [ - "ㄕㄨ1" - ], - "枣": [ - "ㄗㄠ3" - ], - "枤": [ - "ㄉㄧ4" - ], - "枥": [ - "ㄌㄧ4" - ], - "枦": [ - "ㄌㄨ2" - ], - "枧": [ - "ㄐㄧㄢ3" - ], - "枨": [ - "ㄔㄥ2" - ], - "枩": [ - "ㄙㄨㄥ1" - ], - "枪": [ - "ㄑㄧㄤ1" - ], - "枫": [ - "ㄈㄥ1" - ], - "枬": [ - "ㄓㄢ1" - ], - "枭": [ - "ㄒㄧㄠ1" - ], - "枮": [ - "ㄒㄧㄢ1", - "ㄓㄣ1" - ], - "枯": [ - "ㄎㄨ1", - "ㄍㄨ1" - ], - "枰": [ - "ㄆㄧㄥ2" - ], - "枱": [ - "ㄊㄞ2", - "ㄙ4", - "ㄘ2" - ], - "枲": [ - "ㄒㄧ3" - ], - "枳": [ - "ㄓ3", - "ㄓ1" - ], - "枴": [ - "ㄍㄨㄞ3" - ], - "枵": [ - "ㄒㄧㄠ1" - ], - "架": [ - "ㄐㄧㄚ4" - ], - "枷": [ - "ㄐㄧㄚ1", - "ㄐㄧㄚ4" - ], - "枸": [ - "ㄍㄡ3", - "ㄍㄡ1", - "ㄐㄩ3", - "ㄑㄩ2" - ], - "枹": [ - "ㄅㄠ1", - "ㄈㄨ2" - ], - "枺": [ - "ㄇㄛ4" - ], - "枻": [ - "ㄧ4", - "ㄒㄧㄝ4" - ], - "枼": [ - "ㄧㄝ4" - ], - "枽": [ - "ㄧㄝ4" - ], - "枾": [ - "ㄕ4" - ], - "枿": [ - "ㄋㄧㄝ4" - ], - "柀": [ - "ㄅㄧ3" - ], - "柁": [ - "ㄉㄨㄛ4", - "ㄊㄨㄛ2", - "ㄊㄨㄛ3" - ], - "柂": [ - "ㄧ2", - "ㄉㄨㄛ4", - "ㄌㄧ2" - ], - "柃": [ - "ㄌㄧㄥ2" - ], - "柄": [ - "ㄅㄧㄥ3" - ], - "柅": [ - "ㄋㄧ3", - "ㄔ4" - ], - "柆": [ - "ㄌㄚ1" - ], - "柇": [ - "ㄏㄜ2" - ], - "柈": [ - "ㄅㄢ4", - "ㄆㄢ2", - "ㄆㄢ4" - ], - "柉": [ - "ㄈㄢ2" - ], - "柊": [ - "ㄓㄨㄥ1" - ], - "柋": [ - "ㄉㄞ4" - ], - "柌": [ - "ㄘ2" - ], - "柍": [ - "ㄧㄤ3", - "ㄧㄤ4", - "ㄧㄥ1" - ], - "柎": [ - "ㄈㄨ1", - "ㄈㄨ3", - "ㄈㄨ4" - ], - "柏": [ - "ㄅㄞ3", - "ㄅㄛ2", - "ㄅㄛ4" - ], - "某": [ - "ㄇㄡ3", - "ㄇㄟ2" - ], - "柑": [ - "ㄍㄢ1", - "ㄑㄧㄢ2" - ], - "柒": [ - "ㄑㄧ1" - ], - "染": [ - "ㄖㄢ3" - ], - "柔": [ - "ㄖㄡ2" - ], - "柕": [ - "ㄇㄠ4" - ], - "柖": [ - "ㄕㄠ2", - "ㄕㄠ4" - ], - "柗": [ - "ㄙㄨㄥ1" - ], - "柘": [ - "ㄓㄜ4" - ], - "柙": [ - "ㄒㄧㄚ2", - "ㄐㄧㄚ3" - ], - "柚": [ - "ㄧㄡ4", - "ㄧㄡ2", - "ㄓㄡ2" - ], - "柛": [ - "ㄕㄣ1" - ], - "柜": [ - "ㄍㄨㄟ4", - "ㄐㄩ3" - ], - "柝": [ - "ㄊㄨㄛ4" - ], - "柞": [ - "ㄓㄚ4", - "ㄗㄨㄛ4", - "ㄗㄜ2" - ], - "柟": [ - "ㄋㄢ2", - "ㄖㄢ2" - ], - "柠": [ - "ㄋㄧㄥ2", - "ㄔㄨ3", - "ㄓㄨ4" - ], - "柡": [ - "ㄩㄥ3" - ], - "柢": [ - "ㄉㄧ3", - "ㄉㄧ4", - "ㄔ2" - ], - "柣": [ - "ㄓ4", - "ㄉㄧㄝ2" - ], - "柤": [ - "ㄓㄚ1", - "ㄗㄨ3", - "ㄗㄨ1" - ], - "查": [ - "ㄔㄚ2", - "ㄓㄚ1", - "ㄔㄞ2" - ], - "柦": [ - "ㄉㄢ4" - ], - "柧": [ - "ㄍㄨ1" - ], - "柨": [ - "ㄅㄨ4", - "ㄆㄨ1" - ], - "柩": [ - "ㄐㄧㄡ4" - ], - "柪": [ - "ㄠ1", - "ㄠ4" - ], - "柫": [ - "ㄈㄨ2" - ], - "柬": [ - "ㄐㄧㄢ3" - ], - "柭": [ - "ㄅㄚ1", - "ㄈㄨ2", - "ㄅㄛ2", - "ㄅㄧㄝ1", - "ㄆㄟ4" - ], - "柮": [ - "ㄉㄨㄛ4", - "ㄗㄨㄛ2", - "ㄨ4" - ], - "柯": [ - "ㄎㄜ1" - ], - "柰": [ - "ㄋㄞ4" - ], - "柱": [ - "ㄓㄨ4", - "ㄓㄨ3" - ], - "柲": [ - "ㄅㄧ4", - "ㄅㄧㄝ2" - ], - "柳": [ - "ㄌㄧㄡ3" - ], - "柴": [ - "ㄔㄞ2", - "ㄘ1", - "ㄓㄞ4", - "ㄗ4" - ], - "柵": [ - "ㄕㄢ1", - "ㄓㄚ4" - ], - "柶": [ - "ㄙ4" - ], - "柷": [ - "ㄔㄨ4", - "ㄓㄨ4" - ], - "柸": [ - "ㄆㄟ1", - "ㄅㄟ1" - ], - "柹": [ - "ㄕ4", - "ㄈㄟ4" - ], - "柺": [ - "ㄍㄨㄞ3" - ], - "査": [ - "ㄓㄚ1" - ], - "柼": [ - "ㄧㄠ3" - ], - "柽": [ - "ㄔㄥ1", - "ㄐㄩㄝ2" - ], - "柾": [ - "ㄐㄧㄡ4" - ], - "柿": [ - "ㄕ4" - ], - "栀": [ - "ㄓ1" - ], - "栁": [ - "ㄌㄧㄡ3" - ], - "栂": [ - "ㄇㄟ2" - ], - "栃": [ - "ㄌㄧ4" - ], - "栄": [ - "ㄖㄨㄥ2" - ], - "栅": [ - "ㄓㄚ4", - "ㄕㄢ1", - "ㄘㄜ4" - ], - "栆": [ - "ㄗㄠ3" - ], - "标": [ - "ㄅㄧㄠ1" - ], - "栈": [ - "ㄓㄢ4" - ], - "栉": [ - "ㄓ4" - ], - "栊": [ - "ㄌㄨㄥ2" - ], - "栋": [ - "ㄉㄨㄥ4" - ], - "栌": [ - "ㄌㄨ2" - ], - "栍": [ - "ㄕㄥ1" - ], - "栎": [ - "ㄌㄧ4", - "ㄩㄝ4" - ], - "栏": [ - "ㄌㄢ2" - ], - "栐": [ - "ㄩㄥ3" - ], - "树": [ - "ㄕㄨ4" - ], - "栒": [ - "ㄒㄩㄣ2", - "ㄙㄨㄣ3" - ], - "栓": [ - "ㄕㄨㄢ1", - "ㄕㄨㄢ4", - "ㄑㄩㄢ2" - ], - "栔": [ - "ㄑㄧ4" - ], - "栕": [ - "ㄓㄣ1" - ], - "栖": [ - "ㄑㄧ1", - "ㄒㄧ1" - ], - "栗": [ - "ㄌㄧ4", - "ㄌㄧㄝ4" - ], - "栘": [ - "ㄧ2" - ], - "栙": [ - "ㄒㄧㄤ2" - ], - "栚": [ - "ㄓㄣ4" - ], - "栛": [ - "ㄌㄧ4" - ], - "栜": [ - "ㄙㄜ4", - "ㄘ4" - ], - "栝": [ - "ㄍㄨㄚ1", - "ㄊㄧㄢ3", - "ㄎㄨㄛ4" - ], - "栞": [ - "ㄎㄢ1" - ], - "栟": [ - "ㄅㄣ1", - "ㄅㄧㄥ1" - ], - "栠": [ - "ㄖㄣ3" - ], - "校": [ - "ㄒㄧㄠ4", - "ㄐㄧㄠ4", - "ㄐㄧㄠ3", - "ㄑㄧㄠ1" - ], - "栢": [ - "ㄅㄞ3" - ], - "栣": [ - "ㄖㄣ3" - ], - "栤": [ - "ㄅㄧㄥ4" - ], - "栥": [ - "ㄗ1" - ], - "栦": [ - "ㄔㄡ2" - ], - "栧": [ - "ㄧ4" - ], - "栨": [ - "ㄘ4" - ], - "栩": [ - "ㄒㄩ3", - "ㄩ3" - ], - "株": [ - "ㄓㄨ1" - ], - "栫": [ - "ㄐㄧㄢ4", - "ㄗㄨㄣ4" - ], - "栬": [ - "ㄗㄨㄟ4" - ], - "栭": [ - "ㄦ2" - ], - "栮": [ - "ㄦ3" - ], - "栯": [ - "ㄧㄡ3", - "ㄩ4" - ], - "栰": [ - "ㄈㄚ2" - ], - "栱": [ - "ㄍㄨㄥ3" - ], - "栲": [ - "ㄎㄠ3" - ], - "栳": [ - "ㄌㄠ3" - ], - "栴": [ - "ㄓㄢ1" - ], - "栵": [ - "ㄌㄧㄝ4" - ], - "栶": [ - "ㄧㄣ1" - ], - "样": [ - "ㄧㄤ4", - "ㄧㄤ2" - ], - "核": [ - "ㄏㄜ2", - "ㄏㄨ2", - "ㄍㄞ1", - "ㄎㄞ4" - ], - "根": [ - "ㄍㄣ1" - ], - "栺": [ - "ㄧ4", - "ㄓ1", - "ㄓ3" - ], - "栻": [ - "ㄕ4" - ], - "格": [ - "ㄍㄜ2", - "ㄌㄨㄛ4", - "ㄏㄜ4", - "ㄍㄜ1" - ], - "栽": [ - "ㄗㄞ1", - "ㄗㄞ4" - ], - "栾": [ - "ㄌㄨㄢ2" - ], - "栿": [ - "ㄈㄨ2" - ], - "桀": [ - "ㄐㄧㄝ2" - ], - "桁": [ - "ㄏㄥ2", - "ㄏㄤ2", - "ㄏㄤ4" - ], - "桂": [ - "ㄍㄨㄟ4" - ], - "桃": [ - "ㄊㄠ2", - "ㄊㄧㄠ1", - "ㄓㄠ4" - ], - "桄": [ - "ㄍㄨㄤ1", - "ㄍㄨㄤ4" - ], - "桅": [ - "ㄨㄟ2", - "ㄍㄨㄟ3" - ], - "框": [ - "ㄎㄨㄤ1", - "ㄎㄨㄤ4", - "ㄎㄨㄤ2" - ], - "桇": [ - "ㄖㄨ2" - ], - "案": [ - "ㄢ4" - ], - "桉": [ - "ㄢ1", - "ㄢ4" - ], - "桊": [ - "ㄐㄩㄢ4", - "ㄑㄩㄢ1" - ], - "桋": [ - "ㄧ2", - "ㄊㄧ2" - ], - "桌": [ - "ㄓㄨㄛ1" - ], - "桍": [ - "ㄎㄨ1" - ], - "桎": [ - "ㄓ4" - ], - "桏": [ - "ㄑㄩㄥ2" - ], - "桐": [ - "ㄊㄨㄥ2", - "ㄊㄨㄥ1", - "ㄉㄨㄥ4" - ], - "桑": [ - "ㄙㄤ1" - ], - "桒": [ - "ㄙㄤ1" - ], - "桓": [ - "ㄏㄨㄢ2" - ], - "桔": [ - "ㄐㄩ2", - "ㄐㄧㄝ2", - "ㄒㄧㄝ2" - ], - "桕": [ - "ㄐㄧㄡ4" - ], - "桖": [ - "ㄒㄩㄝ4" - ], - "桗": [ - "ㄉㄨㄛ4" - ], - "桘": [ - "ㄓㄨㄟ4" - ], - "桙": [ - "ㄩ2", - "ㄇㄡ2" - ], - "桚": [ - "ㄗㄢ3" - ], - "桜": [ - "ㄧㄥ1" - ], - "桝": [ - "ㄐㄧㄝ2" - ], - "桞": [ - "ㄌㄧㄡ3" - ], - "桟": [ - "ㄓㄢ4" - ], - "桠": [ - "ㄧㄚ1" - ], - "桡": [ - "ㄖㄠ2" - ], - "桢": [ - "ㄓㄣ1" - ], - "档": [ - "ㄉㄤ4" - ], - "桤": [ - "ㄑㄧ1" - ], - "桥": [ - "ㄑㄧㄠ2" - ], - "桦": [ - "ㄏㄨㄚ4" - ], - "桧": [ - "ㄍㄨㄟ4", - "ㄏㄨㄟ4" - ], - "桨": [ - "ㄐㄧㄤ3" - ], - "桩": [ - "ㄓㄨㄤ1" - ], - "桪": [ - "ㄒㄩㄣ2" - ], - "桫": [ - "ㄙㄨㄛ1" - ], - "桬": [ - "ㄕㄚ1" - ], - "桭": [ - "ㄓㄣ1", - "ㄔㄣ2", - "ㄓㄣ4" - ], - "桮": [ - "ㄅㄟ1" - ], - "桯": [ - "ㄊㄧㄥ1", - "ㄧㄥ2" - ], - "桰": [ - "ㄎㄨㄛ4" - ], - "桱": [ - "ㄐㄧㄥ4" - ], - "桲": [ - "ㄆㄛ5", - "ㄅㄛ2" - ], - "桳": [ - "ㄅㄣ4" - ], - "桴": [ - "ㄈㄨ2" - ], - "桵": [ - "ㄖㄨㄟ2" - ], - "桶": [ - "ㄊㄨㄥ3" - ], - "桷": [ - "ㄐㄩㄝ2" - ], - "桸": [ - "ㄒㄧ1" - ], - "桹": [ - "ㄌㄤ2" - ], - "桺": [ - "ㄌㄧㄡ3" - ], - "桻": [ - "ㄈㄥ1", - "ㄈㄥ4" - ], - "桼": [ - "ㄑㄧ1" - ], - "桽": [ - "ㄨㄣ3" - ], - "桾": [ - "ㄐㄩㄣ1" - ], - "桿": [ - "ㄍㄢ3", - "ㄏㄢ4" - ], - "梀": [ - "ㄙㄨ4", - "ㄧㄣ4" - ], - "梁": [ - "ㄌㄧㄤ2" - ], - "梂": [ - "ㄑㄧㄡ2" - ], - "梃": [ - "ㄊㄧㄥ3", - "ㄊㄧㄥ4" - ], - "梄": [ - "ㄧㄡ3" - ], - "梅": [ - "ㄇㄟ2" - ], - "梆": [ - "ㄅㄤ1" - ], - "梇": [ - "ㄌㄨㄥ4" - ], - "梈": [ - "ㄆㄥ1" - ], - "梉": [ - "ㄓㄨㄤ1" - ], - "梊": [ - "ㄉㄧ4" - ], - "梋": [ - "ㄒㄩㄢ1", - "ㄐㄩㄢ1", - "ㄒㄧㄝ2" - ], - "梌": [ - "ㄊㄨ2", - "ㄔㄚ2", - "ㄊㄨ1" - ], - "梍": [ - "ㄗㄠ4" - ], - "梎": [ - "ㄠ1", - "ㄧㄡ4" - ], - "梏": [ - "ㄍㄨ4", - "ㄐㄩㄝ2" - ], - "梐": [ - "ㄅㄧ4" - ], - "梑": [ - "ㄉㄧ2" - ], - "梒": [ - "ㄏㄢ2" - ], - "梓": [ - "ㄗ3" - ], - "梔": [ - "ㄓ1" - ], - "梕": [ - "ㄖㄣ4" - ], - "梖": [ - "ㄅㄟ4" - ], - "梗": [ - "ㄍㄥ3" - ], - "梘": [ - "ㄐㄧㄢ3", - "ㄒㄧㄢ4", - "ㄐㄧㄢ4" - ], - "梙": [ - "ㄏㄨㄢ4" - ], - "梚": [ - "ㄨㄢ3" - ], - "梛": [ - "ㄋㄨㄛ2" - ], - "梜": [ - "ㄐㄧㄚ1" - ], - "條": [ - "ㄊㄧㄠ2", - "ㄊㄧㄠ1" - ], - "梞": [ - "ㄐㄧ4" - ], - "梟": [ - "ㄒㄧㄠ1" - ], - "梠": [ - "ㄌㄩ3" - ], - "梡": [ - "ㄏㄨㄣ2", - "ㄎㄨㄢ3" - ], - "梢": [ - "ㄕㄠ1", - "ㄕㄠ4", - "ㄒㄧㄠ1", - "ㄙㄠ4" - ], - "梣": [ - "ㄘㄣ2", - "ㄔㄣ2", - "ㄑㄧㄣ2" - ], - "梤": [ - "ㄈㄣ2" - ], - "梥": [ - "ㄙㄨㄥ1" - ], - "梦": [ - "ㄇㄥ4" - ], - "梧": [ - "ㄨ2", - "ㄨ4", - "ㄩ3" - ], - "梨": [ - "ㄌㄧ2" - ], - "梩": [ - "ㄌㄧ2", - "ㄙ4", - "ㄑㄧ3" - ], - "梪": [ - "ㄉㄡ4" - ], - "梫": [ - "ㄑㄧㄣ3", - "ㄑㄧㄣ1" - ], - "梬": [ - "ㄧㄥ3" - ], - "梭": [ - "ㄙㄨㄛ1", - "ㄒㄩㄣ4" - ], - "梮": [ - "ㄐㄩ1" - ], - "梯": [ - "ㄊㄧ1", - "ㄊㄧ2" - ], - "械": [ - "ㄒㄧㄝ4" - ], - "梱": [ - "ㄎㄨㄣ3", - "ㄏㄨㄣ2" - ], - "梲": [ - "ㄓㄨㄛ2" - ], - "梳": [ - "ㄕㄨ1" - ], - "梴": [ - "ㄔㄢ1" - ], - "梵": [ - "ㄈㄢ4" - ], - "梶": [ - "ㄨㄟ3" - ], - "梷": [ - "ㄐㄧㄥ4" - ], - "梸": [ - "ㄌㄧ2" - ], - "梹": [ - "ㄅㄧㄣ1", - "ㄅㄧㄥ1" - ], - "梺": [ - "ㄒㄧㄚ4" - ], - "梻": [ - "ㄈㄛ2" - ], - "梼": [ - "ㄊㄠ2" - ], - "梽": [ - "ㄓ4" - ], - "梾": [ - "ㄌㄞ2" - ], - "梿": [ - "ㄌㄧㄢ2" - ], - "检": [ - "ㄐㄧㄢ3" - ], - "棁": [ - "ㄓㄨㄛ1", - "ㄊㄨㄛ1", - "ㄖㄨㄟ4" - ], - "棂": [ - "ㄌㄧㄥ2" - ], - "棃": [ - "ㄌㄧ2" - ], - "棄": [ - "ㄑㄧ4" - ], - "棅": [ - "ㄅㄧㄥ3" - ], - "棆": [ - "ㄌㄨㄣ2" - ], - "棇": [ - "ㄘㄨㄥ1", - "ㄙㄨㄥ1" - ], - "棈": [ - "ㄑㄧㄢ4" - ], - "棉": [ - "ㄇㄧㄢ2" - ], - "棊": [ - "ㄑㄧ2" - ], - "棋": [ - "ㄑㄧ2", - "ㄐㄧ1" - ], - "棌": [ - "ㄘㄞ4" - ], - "棍": [ - "ㄍㄨㄣ4", - "ㄏㄨㄣ4", - "ㄠ1", - "ㄍㄨㄣ3" - ], - "棎": [ - "ㄔㄢ2" - ], - "棏": [ - "ㄉㄜ2", - "ㄓㄜ2" - ], - "棐": [ - "ㄈㄟ3", - "ㄈㄟ2" - ], - "棑": [ - "ㄆㄞ2", - "ㄅㄟ4", - "ㄆㄟ4" - ], - "棒": [ - "ㄅㄤ4" - ], - "棓": [ - "ㄅㄤ4", - "ㄅㄟ4", - "ㄆㄡ3", - "ㄆㄟ2", - "ㄅㄟ1" - ], - "棔": [ - "ㄏㄨㄣ1" - ], - "棕": [ - "ㄗㄨㄥ1" - ], - "棖": [ - "ㄔㄥ2", - "ㄔㄤ2" - ], - "棗": [ - "ㄗㄠ3" - ], - "棘": [ - "ㄐㄧ2" - ], - "棙": [ - "ㄌㄧ4", - "ㄌㄧㄝ4" - ], - "棚": [ - "ㄆㄥ2" - ], - "棛": [ - "ㄩ4" - ], - "棜": [ - "ㄩ4" - ], - "棝": [ - "ㄍㄨ4" - ], - "棞": [ - "ㄐㄩㄣ4" - ], - "棟": [ - "ㄉㄨㄥ4" - ], - "棠": [ - "ㄊㄤ2" - ], - "棡": [ - "ㄍㄤ1" - ], - "棢": [ - "ㄨㄤ3" - ], - "棣": [ - "ㄉㄧ4", - "ㄊㄧ4", - "ㄉㄞ4" - ], - "棤": [ - "ㄘㄨㄛ4" - ], - "棥": [ - "ㄈㄢ2" - ], - "棦": [ - "ㄔㄥ1" - ], - "棧": [ - "ㄓㄢ4", - "ㄓㄢ3", - "ㄔㄣ2" - ], - "棨": [ - "ㄑㄧ3" - ], - "棩": [ - "ㄩㄢ1" - ], - "棪": [ - "ㄧㄢ3", - "ㄧㄢ4" - ], - "棫": [ - "ㄩ4" - ], - "棬": [ - "ㄑㄩㄢ1", - "ㄐㄩㄢ4", - "ㄑㄩㄢ2" - ], - "棭": [ - "ㄧ4" - ], - "森": [ - "ㄙㄣ1" - ], - "棯": [ - "ㄖㄣ3", - "ㄕㄣ3" - ], - "棰": [ - "ㄔㄨㄟ2", - "ㄉㄨㄛ3" - ], - "棱": [ - "ㄌㄥ2", - "ㄌㄥ1", - "ㄌㄧㄥ2", - "ㄌㄥ4", - "ㄔㄥ1" - ], - "棲": [ - "ㄑㄧ1", - "ㄒㄧ1" - ], - "棳": [ - "ㄓㄨㄛ1" - ], - "棴": [ - "ㄈㄨ2", - "ㄙㄨ4" - ], - "棵": [ - "ㄎㄜ1", - "ㄎㄨㄢ3", - "ㄎㄜ3" - ], - "棶": [ - "ㄌㄞ2" - ], - "棷": [ - "ㄗㄡ1", - "ㄙㄡ3" - ], - "棸": [ - "ㄗㄡ1" - ], - "棹": [ - "ㄓㄠ4", - "ㄓㄨㄛ1" - ], - "棺": [ - "ㄍㄨㄢ1", - "ㄍㄨㄢ4" - ], - "棻": [ - "ㄈㄣ1" - ], - "棼": [ - "ㄈㄣ2", - "ㄈㄣ4", - "ㄈㄣ1" - ], - "棽": [ - "ㄕㄣ1", - "ㄔㄣ1" - ], - "棾": [ - "ㄑㄧㄥ2" - ], - "棿": [ - "ㄋㄧ2", - "ㄋㄧㄝ4" - ], - "椀": [ - "ㄨㄢ3" - ], - "椁": [ - "ㄍㄨㄛ3" - ], - "椂": [ - "ㄌㄨ4" - ], - "椃": [ - "ㄏㄠ2" - ], - "椄": [ - "ㄐㄧㄝ1", - "ㄐㄧㄝ2", - "ㄑㄧㄝ4" - ], - "椅": [ - "ㄧ3", - "ㄧ1" - ], - "椆": [ - "ㄔㄡ2", - "ㄓㄡ4", - "ㄉㄧㄠ1" - ], - "椇": [ - "ㄐㄩ3" - ], - "椈": [ - "ㄐㄩ2" - ], - "椉": [ - "ㄔㄥ2", - "ㄕㄥ4" - ], - "椊": [ - "ㄗㄨㄛ2", - "ㄘㄨㄟ4" - ], - "椋": [ - "ㄌㄧㄤ2" - ], - "椌": [ - "ㄑㄧㄤ1", - "ㄎㄨㄥ1" - ], - "植": [ - "ㄓ2" - ], - "椎": [ - "ㄔㄨㄟ2", - "ㄓㄨㄟ1" - ], - "椏": [ - "ㄧㄚ1", - "ㄜ3" - ], - "椐": [ - "ㄐㄩ1" - ], - "椑": [ - "ㄅㄟ1", - "ㄆㄧ2", - "ㄅㄧ4", - "ㄆㄞ2" - ], - "椒": [ - "ㄐㄧㄠ1" - ], - "椓": [ - "ㄓㄨㄛ2" - ], - "椔": [ - "ㄗ1" - ], - "椕": [ - "ㄅㄧㄣ1" - ], - "椖": [ - "ㄆㄥ2" - ], - "椗": [ - "ㄉㄧㄥ4" - ], - "椘": [ - "ㄔㄨ3" - ], - "椙": [ - "ㄔㄤ1" - ], - "椚": [ - "ㄇㄣ1" - ], - "椛": [ - "ㄏㄨㄚ1" - ], - "検": [ - "ㄐㄧㄢ3" - ], - "椝": [ - "ㄍㄨㄟ1" - ], - "椞": [ - "ㄒㄧ4" - ], - "椟": [ - "ㄉㄨ2" - ], - "椠": [ - "ㄑㄧㄢ4" - ], - "椡": [ - "ㄉㄠ4" - ], - "椢": [ - "ㄍㄨㄟ4" - ], - "椣": [ - "ㄉㄧㄢ3" - ], - "椤": [ - "ㄌㄨㄛ2" - ], - "椥": [ - "ㄓ1" - ], - "椦": [ - "ㄑㄩㄢ5" - ], - "椧": [ - "ㄇㄧㄥ4" - ], - "椨": [ - "ㄈㄨ3" - ], - "椩": [ - "ㄍㄥ1" - ], - "椪": [ - "ㄆㄥ4" - ], - "椫": [ - "ㄕㄢ4" - ], - "椬": [ - "ㄧ2" - ], - "椭": [ - "ㄊㄨㄛ3" - ], - "椮": [ - "ㄙㄣ1" - ], - "椯": [ - "ㄉㄨㄛ3", - "ㄔㄨㄢ2" - ], - "椰": [ - "ㄧㄝ1" - ], - "椱": [ - "ㄈㄨ4" - ], - "椲": [ - "ㄨㄟ3", - "ㄏㄨㄟ1" - ], - "椳": [ - "ㄨㄟ1" - ], - "椴": [ - "ㄉㄨㄢ4" - ], - "椵": [ - "ㄐㄧㄚ3", - "ㄐㄧㄚ1" - ], - "椶": [ - "ㄗㄨㄥ1" - ], - "椷": [ - "ㄐㄧㄢ1", - "ㄏㄢ2" - ], - "椸": [ - "ㄧ2" - ], - "椹": [ - "ㄕㄣ4", - "ㄓㄣ1" - ], - "椺": [ - "ㄒㄧ2" - ], - "椻": [ - "ㄧㄢ4", - "ㄧㄚ4" - ], - "椼": [ - "ㄧㄢ3" - ], - "椽": [ - "ㄔㄨㄢ2" - ], - "椾": [ - "ㄐㄧㄢ1", - "ㄓㄢ4" - ], - "椿": [ - "ㄔㄨㄣ1" - ], - "楀": [ - "ㄩ3" - ], - "楁": [ - "ㄏㄜ2" - ], - "楂": [ - "ㄓㄚ1", - "ㄔㄚ2" - ], - "楃": [ - "ㄨㄛ4" - ], - "楄": [ - "ㄆㄧㄢ2" - ], - "楅": [ - "ㄅㄧ1" - ], - "楆": [ - "ㄧㄠ1" - ], - "楇": [ - "ㄏㄨㄛ4", - "ㄍㄨㄛ1", - "ㄎㄨㄚ3" - ], - "楈": [ - "ㄒㄩ1" - ], - "楉": [ - "ㄖㄨㄛ4" - ], - "楊": [ - "ㄧㄤ2" - ], - "楋": [ - "ㄌㄚ4" - ], - "楌": [ - "ㄧㄢ2" - ], - "楍": [ - "ㄅㄣ3" - ], - "楎": [ - "ㄏㄨㄟ1" - ], - "楏": [ - "ㄎㄨㄟ2" - ], - "楐": [ - "ㄐㄧㄝ4" - ], - "楑": [ - "ㄎㄨㄟ2" - ], - "楒": [ - "ㄙ1" - ], - "楓": [ - "ㄈㄥ1", - "ㄈㄢ2" - ], - "楔": [ - "ㄒㄧㄝ1", - "ㄒㄧㄝ4" - ], - "楕": [ - "ㄊㄨㄛ3" - ], - "楖": [ - "ㄓ4", - "ㄐㄧ2" - ], - "楗": [ - "ㄐㄧㄢ4", - "ㄐㄧㄢ3" - ], - "楘": [ - "ㄇㄨ4" - ], - "楙": [ - "ㄇㄠ4" - ], - "楚": [ - "ㄔㄨ3" - ], - "楛": [ - "ㄏㄨ4", - "ㄎㄨ3" - ], - "楜": [ - "ㄏㄨ2" - ], - "楝": [ - "ㄌㄧㄢ4" - ], - "楞": [ - "ㄌㄥ2", - "ㄌㄥ4" - ], - "楟": [ - "ㄊㄧㄥ2" - ], - "楠": [ - "ㄋㄢ2" - ], - "楡": [ - "ㄩ2" - ], - "楢": [ - "ㄧㄡ2", - "ㄧㄡ3" - ], - "楣": [ - "ㄇㄟ2", - "ㄇㄟ3" - ], - "楤": [ - "ㄙㄨㄥ3", - "ㄘㄨㄥ1" - ], - "楥": [ - "ㄒㄩㄢ4", - "ㄩㄢ2" - ], - "楦": [ - "ㄒㄩㄢ4" - ], - "楧": [ - "ㄧㄤ3" - ], - "楨": [ - "ㄓㄣ1" - ], - "楩": [ - "ㄆㄧㄢ2" - ], - "楪": [ - "ㄧㄝ4", - "ㄉㄧㄝ2" - ], - "楫": [ - "ㄐㄧ2" - ], - "楬": [ - "ㄐㄧㄝ2", - "ㄑㄧㄚ4" - ], - "業": [ - "ㄧㄝ4" - ], - "楮": [ - "ㄔㄨ3", - "ㄓㄨ1" - ], - "楯": [ - "ㄉㄨㄣ4", - "ㄕㄨㄣ3", - "ㄔㄨㄣ1" - ], - "楰": [ - "ㄩ2" - ], - "楱": [ - "ㄗㄡ4", - "ㄘㄡ1" - ], - "楲": [ - "ㄨㄟ1" - ], - "楳": [ - "ㄇㄟ2" - ], - "楴": [ - "ㄊㄧ4", - "ㄉㄧ3", - "ㄕ4" - ], - "極": [ - "ㄐㄧ2", - "ㄐㄧ3" - ], - "楶": [ - "ㄐㄧㄝ2" - ], - "楷": [ - "ㄎㄞ3", - "ㄐㄧㄝ1", - "ㄐㄧㄝ4" - ], - "楸": [ - "ㄑㄧㄡ1" - ], - "楹": [ - "ㄧㄥ2" - ], - "楺": [ - "ㄖㄡ3", - "ㄖㄡ4" - ], - "楻": [ - "ㄏㄨㄤ2" - ], - "楼": [ - "ㄌㄡ2" - ], - "楽": [ - "ㄌㄜ4" - ], - "楾": [ - "ㄑㄩㄢ2" - ], - "楿": [ - "ㄒㄧㄤ1" - ], - "榀": [ - "ㄆㄧㄣ3" - ], - "榁": [ - "ㄕ3" - ], - "概": [ - "ㄍㄞ4", - "ㄍㄨㄟ4", - "ㄐㄧㄝ2" - ], - "榃": [ - "ㄊㄢ2" - ], - "榄": [ - "ㄌㄢ3" - ], - "榅": [ - "ㄨㄣ1", - "ㄩㄣ4" - ], - "榆": [ - "ㄩ2" - ], - "榇": [ - "ㄔㄣ4" - ], - "榈": [ - "ㄌㄩ2" - ], - "榉": [ - "ㄐㄩ3" - ], - "榊": [ - "ㄕㄣ2" - ], - "榋": [ - "ㄔㄨ5" - ], - "榌": [ - "ㄅㄧ1" - ], - "榍": [ - "ㄒㄧㄝ4" - ], - "榎": [ - "ㄐㄧㄚ3" - ], - "榏": [ - "ㄧ4" - ], - "榐": [ - "ㄓㄢ3", - "ㄔㄢ3", - "ㄋㄧㄢ4", - "ㄓㄣ4" - ], - "榑": [ - "ㄈㄨ2", - "ㄈㄨ4", - "ㄅㄛ2" - ], - "榒": [ - "ㄋㄨㄛ4" - ], - "榓": [ - "ㄇㄧ4" - ], - "榔": [ - "ㄌㄤ2", - "ㄌㄤ3" - ], - "榕": [ - "ㄖㄨㄥ2" - ], - "榖": [ - "ㄍㄨ3" - ], - "榗": [ - "ㄐㄧㄢ4", - "ㄐㄧㄣ4" - ], - "榘": [ - "ㄐㄩ3" - ], - "榙": [ - "ㄊㄚ1" - ], - "榚": [ - "ㄧㄠ3" - ], - "榛": [ - "ㄓㄣ1" - ], - "榜": [ - "ㄅㄤ3", - "ㄅㄥ1", - "ㄅㄤ4", - "ㄆㄤ2", - "ㄆㄥ2" - ], - "榝": [ - "ㄕㄚ1", - "ㄒㄧㄝ4" - ], - "榞": [ - "ㄩㄢ2" - ], - "榟": [ - "ㄗ3" - ], - "榠": [ - "ㄇㄧㄥ2" - ], - "榡": [ - "ㄙㄨ4" - ], - "榢": [ - "ㄐㄧㄚ4" - ], - "榣": [ - "ㄧㄠ2" - ], - "榤": [ - "ㄐㄧㄝ2" - ], - "榥": [ - "ㄏㄨㄤ4" - ], - "榦": [ - "ㄍㄢ4", - "ㄏㄢ2" - ], - "榧": [ - "ㄈㄟ3" - ], - "榨": [ - "ㄓㄚ4" - ], - "榩": [ - "ㄑㄧㄢ2" - ], - "榪": [ - "ㄇㄚ4", - "ㄇㄚ3" - ], - "榫": [ - "ㄙㄨㄣ3" - ], - "榬": [ - "ㄩㄢ2" - ], - "榭": [ - "ㄒㄧㄝ4" - ], - "榮": [ - "ㄖㄨㄥ2" - ], - "榯": [ - "ㄕ2" - ], - "榰": [ - "ㄓ1" - ], - "榱": [ - "ㄘㄨㄟ1" - ], - "榲": [ - "ㄨㄣ1" - ], - "榳": [ - "ㄊㄧㄥ2" - ], - "榴": [ - "ㄌㄧㄡ2" - ], - "榵": [ - "ㄖㄨㄥ2" - ], - "榶": [ - "ㄊㄤ2" - ], - "榷": [ - "ㄑㄩㄝ4" - ], - "榸": [ - "ㄓㄞ1" - ], - "榹": [ - "ㄙ1" - ], - "榺": [ - "ㄕㄥ4" - ], - "榻": [ - "ㄊㄚ4" - ], - "榼": [ - "ㄎㄜ1" - ], - "榽": [ - "ㄒㄧ1" - ], - "榾": [ - "ㄍㄨ3" - ], - "榿": [ - "ㄑㄧ1" - ], - "槀": [ - "ㄍㄠ3", - "ㄎㄠ4" - ], - "槁": [ - "ㄍㄠ3", - "ㄎㄠ4", - "ㄍㄠ1" - ], - "槂": [ - "ㄙㄨㄣ1" - ], - "槃": [ - "ㄆㄢ2" - ], - "槄": [ - "ㄊㄠ1" - ], - "槅": [ - "ㄍㄜ2" - ], - "槆": [ - "ㄔㄨㄣ1" - ], - "槇": [ - "ㄉㄧㄢ1", - "ㄓㄣ3", - "ㄓㄣ1" - ], - "槈": [ - "ㄋㄡ4" - ], - "槉": [ - "ㄐㄧ2" - ], - "槊": [ - "ㄕㄨㄛ4" - ], - "構": [ - "ㄍㄡ4", - "ㄐㄩㄝ2" - ], - "槌": [ - "ㄔㄨㄟ2", - "ㄓㄨㄟ4", - "ㄉㄨㄟ1" - ], - "槍": [ - "ㄑㄧㄤ1", - "ㄔㄥ1", - "ㄑㄧㄤ3" - ], - "槎": [ - "ㄔㄚ2" - ], - "槏": [ - "ㄑㄧㄢ3", - "ㄒㄧㄢ4", - "ㄌㄧㄢ2" - ], - "槐": [ - "ㄏㄨㄞ2" - ], - "槑": [ - "ㄇㄟ2" - ], - "槒": [ - "ㄒㄩ4" - ], - "槓": [ - "ㄍㄤ4" - ], - "槔": [ - "ㄍㄠ1" - ], - "槕": [ - "ㄓㄨㄛ1" - ], - "槖": [ - "ㄊㄨㄛ2" - ], - "槗": [ - "ㄑㄧㄠ2" - ], - "様": [ - "ㄧㄤ4" - ], - "槙": [ - "ㄉㄧㄢ1" - ], - "槚": [ - "ㄐㄧㄚ3" - ], - "槛": [ - "ㄎㄢ3", - "ㄐㄧㄢ4" - ], - "槜": [ - "ㄗㄨㄟ4" - ], - "槝": [ - "ㄉㄠ3" - ], - "槞": [ - "ㄌㄨㄥ2" - ], - "槟": [ - "ㄅㄧㄣ1", - "ㄅㄧㄥ1" - ], - "槠": [ - "ㄓㄨ1" - ], - "槡": [ - "ㄙㄤ1" - ], - "槢": [ - "ㄒㄧ2", - "ㄉㄧㄝ2" - ], - "槣": [ - "ㄐㄧ1", - "ㄍㄨㄟ1" - ], - "槤": [ - "ㄌㄧㄢ2", - "ㄌㄧㄢ3" - ], - "槥": [ - "ㄏㄨㄟ4" - ], - "槦": [ - "ㄩㄥ1" - ], - "槧": [ - "ㄑㄧㄢ4" - ], - "槨": [ - "ㄍㄨㄛ3" - ], - "槩": [ - "ㄍㄞ4" - ], - "槪": [ - "ㄍㄞ4" - ], - "槫": [ - "ㄊㄨㄢ2", - "ㄕㄨㄢ4", - "ㄑㄩㄢ2" - ], - "槬": [ - "ㄏㄨㄚ4" - ], - "槭": [ - "ㄑㄧ1", - "ㄑㄧ4", - "ㄗㄨ2", - "ㄙㄜ4" - ], - "槮": [ - "ㄙㄣ1", - "ㄕㄣ3" - ], - "槯": [ - "ㄘㄨㄟ1", - "ㄗㄨㄟ3" - ], - "槰": [ - "ㄆㄥ2" - ], - "槱": [ - "ㄧㄡ3", - "ㄔㄠ3" - ], - "槲": [ - "ㄏㄨ2" - ], - "槳": [ - "ㄐㄧㄤ3", - "ㄐㄧㄤ1" - ], - "槴": [ - "ㄏㄨ4" - ], - "槵": [ - "ㄏㄨㄢ4" - ], - "槶": [ - "ㄍㄨㄟ4" - ], - "槷": [ - "ㄋㄧㄝ4", - "ㄒㄧㄝ4", - "ㄧ4" - ], - "槸": [ - "ㄧ4" - ], - "槹": [ - "ㄍㄠ1" - ], - "槺": [ - "ㄎㄤ1" - ], - "槻": [ - "ㄍㄨㄟ1" - ], - "槼": [ - "ㄍㄨㄟ1" - ], - "槽": [ - "ㄘㄠ2", - "ㄗㄠ1" - ], - "槾": [ - "ㄇㄢ4", - "ㄨㄢ4", - "ㄇㄢ2" - ], - "槿": [ - "ㄐㄧㄣ3", - "ㄑㄧㄣ2" - ], - "樀": [ - "ㄉㄧ2", - "ㄓ2", - "ㄓㄜ2", - "ㄉㄧ1" - ], - "樁": [ - "ㄓㄨㄤ1", - "ㄔㄨㄥ1" - ], - "樂": [ - "ㄌㄜ4", - "ㄩㄝ4", - "ㄧㄠ4", - "ㄌㄨㄛ4", - "ㄌㄧㄠ2" - ], - "樃": [ - "ㄌㄤ3" - ], - "樄": [ - "ㄔㄣ2" - ], - "樅": [ - "ㄘㄨㄥ1", - "ㄗㄨㄥ1" - ], - "樆": [ - "ㄌㄧ2", - "ㄔ1" - ], - "樇": [ - "ㄒㄧㄡ1" - ], - "樈": [ - "ㄑㄧㄥ2" - ], - "樉": [ - "ㄕㄨㄤ3" - ], - "樊": [ - "ㄈㄢ2", - "ㄈㄢ4" - ], - "樋": [ - "ㄊㄨㄥ1" - ], - "樌": [ - "ㄍㄨㄢ4" - ], - "樍": [ - "ㄗㄜ2" - ], - "樎": [ - "ㄙㄨ4" - ], - "樏": [ - "ㄌㄟ3", - "ㄌㄟ2" - ], - "樐": [ - "ㄌㄨ3" - ], - "樑": [ - "ㄌㄧㄤ2" - ], - "樒": [ - "ㄇㄧ4" - ], - "樓": [ - "ㄌㄡ2", - "ㄌㄩ2" - ], - "樔": [ - "ㄔㄠ2", - "ㄔㄠ1", - "ㄐㄧㄠ3" - ], - "樕": [ - "ㄙㄨ4" - ], - "樖": [ - "ㄎㄜ1" - ], - "樗": [ - "ㄔㄨ1" - ], - "樘": [ - "ㄊㄤ2", - "ㄔㄥ1" - ], - "標": [ - "ㄅㄧㄠ1", - "ㄅㄧㄠ4" - ], - "樚": [ - "ㄌㄨ4", - "ㄉㄨ2" - ], - "樛": [ - "ㄐㄧㄡ1", - "ㄌㄧㄠ2" - ], - "樜": [ - "ㄓㄜ4" - ], - "樝": [ - "ㄓㄚ1" - ], - "樞": [ - "ㄕㄨ1", - "ㄡ1" - ], - "樟": [ - "ㄓㄤ1" - ], - "樠": [ - "ㄇㄢ2", - "ㄌㄤ3" - ], - "模": [ - "ㄇㄛ2", - "ㄇㄨ2" - ], - "樢": [ - "ㄋㄧㄠ3", - "ㄇㄨ4" - ], - "樣": [ - "ㄧㄤ4", - "ㄒㄧㄤ4" - ], - "樤": [ - "ㄊㄧㄠ2" - ], - "樥": [ - "ㄆㄥ2" - ], - "樦": [ - "ㄓㄨ4" - ], - "樧": [ - "ㄕㄚ1" - ], - "樨": [ - "ㄒㄧ1" - ], - "権": [ - "ㄑㄩㄢ2" - ], - "横": [ - "ㄏㄥ2", - "ㄏㄥ4", - "ㄍㄨㄤ1", - "ㄍㄨㄤ4", - "ㄏㄨㄤ2", - "ㄏㄨㄤ4" - ], - "樫": [ - "ㄐㄧㄢ1" - ], - "樬": [ - "ㄘㄨㄥ1" - ], - "樭": [ - "ㄐㄧ1" - ], - "樮": [ - "ㄧㄢ1" - ], - "樯": [ - "ㄑㄧㄤ2" - ], - "樰": [ - "ㄒㄩㄝ3" - ], - "樱": [ - "ㄧㄥ1" - ], - "樲": [ - "ㄦ4", - "ㄓ4" - ], - "樳": [ - "ㄒㄩㄣ2" - ], - "樴": [ - "ㄓ2", - "ㄧ4" - ], - "樵": [ - "ㄑㄧㄠ2" - ], - "樶": [ - "ㄗㄨㄟ1" - ], - "樷": [ - "ㄘㄨㄥ2" - ], - "樸": [ - "ㄆㄨ3", - "ㄆㄨ2" - ], - "樹": [ - "ㄕㄨ4" - ], - "樺": [ - "ㄏㄨㄚ4" - ], - "樻": [ - "ㄎㄨㄟ4" - ], - "樼": [ - "ㄓㄣ1" - ], - "樽": [ - "ㄗㄨㄣ1" - ], - "樾": [ - "ㄩㄝ4" - ], - "樿": [ - "ㄕㄢ4" - ], - "橀": [ - "ㄒㄧ1" - ], - "橁": [ - "ㄔㄨㄣ1" - ], - "橂": [ - "ㄉㄧㄢ4" - ], - "橃": [ - "ㄈㄚ2", - "ㄈㄟ4" - ], - "橄": [ - "ㄍㄢ3" - ], - "橅": [ - "ㄇㄛ2" - ], - "橆": [ - "ㄨ3", - "ㄨ2" - ], - "橇": [ - "ㄑㄧㄠ1" - ], - "橈": [ - "ㄖㄠ2", - "ㄋㄠ2" - ], - "橉": [ - "ㄌㄧㄣ4" - ], - "橊": [ - "ㄌㄧㄡ2" - ], - "橋": [ - "ㄑㄧㄠ2", - "ㄐㄧㄠ1", - "ㄐㄧㄠ4", - "ㄑㄧㄠ1", - "ㄐㄧㄠ3" - ], - "橌": [ - "ㄒㄧㄢ4" - ], - "橍": [ - "ㄖㄨㄣ4" - ], - "橎": [ - "ㄈㄢ2" - ], - "橏": [ - "ㄓㄢ3", - "ㄐㄧㄢ3" - ], - "橐": [ - "ㄊㄨㄛ2", - "ㄉㄨ4", - "ㄌㄨㄛ4" - ], - "橑": [ - "ㄌㄠ3", - "ㄌㄧㄠ2" - ], - "橒": [ - "ㄩㄣ2" - ], - "橓": [ - "ㄕㄨㄣ4" - ], - "橔": [ - "ㄉㄨㄣ1", - "ㄊㄨㄟ2" - ], - "橕": [ - "ㄔㄥ1" - ], - "橖": [ - "ㄊㄤ2", - "ㄔㄥ1" - ], - "橗": [ - "ㄇㄥ2" - ], - "橘": [ - "ㄐㄩ2" - ], - "橙": [ - "ㄔㄥ2", - "ㄉㄥ4", - "ㄔㄣ2" - ], - "橚": [ - "ㄙㄨ4", - "ㄒㄧㄠ1", - "ㄑㄧㄡ1" - ], - "橛": [ - "ㄐㄩㄝ2" - ], - "橜": [ - "ㄐㄩㄝ2" - ], - "橝": [ - "ㄉㄧㄢ4", - "ㄊㄢ2", - "ㄒㄧㄣ2" - ], - "橞": [ - "ㄏㄨㄟ4" - ], - "機": [ - "ㄐㄧ1" - ], - "橠": [ - "ㄋㄨㄛ3", - "ㄋㄨㄛ2" - ], - "橡": [ - "ㄒㄧㄤ4" - ], - "橢": [ - "ㄊㄨㄛ3", - "ㄉㄨㄛ3" - ], - "橣": [ - "ㄋㄧㄥ3" - ], - "橤": [ - "ㄖㄨㄟ3" - ], - "橥": [ - "ㄓㄨ1" - ], - "橦": [ - "ㄊㄨㄥ2", - "ㄔㄨㄤ2", - "ㄓㄨㄥ1", - "ㄔㄨㄥ1" - ], - "橧": [ - "ㄗㄥ1", - "ㄘㄥ2" - ], - "橨": [ - "ㄈㄣ2", - "ㄈㄣ4", - "ㄈㄟ4" - ], - "橩": [ - "ㄑㄩㄥ2" - ], - "橪": [ - "ㄖㄢ3", - "ㄧㄢ1" - ], - "橫": [ - "ㄏㄥ2" - ], - "橬": [ - "ㄑㄧㄢ2", - "ㄑㄧㄣ2" - ], - "橭": [ - "ㄍㄨ1" - ], - "橮": [ - "ㄌㄧㄡ3" - ], - "橯": [ - "ㄌㄠ4" - ], - "橰": [ - "ㄍㄠ1" - ], - "橱": [ - "ㄔㄨ2" - ], - "橲": [ - "ㄒㄧ3" - ], - "橳": [ - "ㄕㄥ4" - ], - "橴": [ - "ㄗ3" - ], - "橵": [ - "ㄙㄢ5" - ], - "橶": [ - "ㄐㄧ2" - ], - "橷": [ - "ㄉㄡ1" - ], - "橸": [ - "ㄐㄧㄥ1" - ], - "橹": [ - "ㄌㄨ3" - ], - "橺": [ - "ㄐㄧㄢ5" - ], - "橻": [ - "ㄔㄨ5" - ], - "橼": [ - "ㄩㄢ2" - ], - "橽": [ - "ㄊㄚ4" - ], - "橾": [ - "ㄕㄨ1", - "ㄑㄧㄠ1", - "ㄙㄠ1" - ], - "橿": [ - "ㄐㄧㄤ1" - ], - "檀": [ - "ㄊㄢ2", - "ㄕㄢ4" - ], - "檁": [ - "ㄌㄧㄣ3" - ], - "檂": [ - "ㄋㄨㄥ2" - ], - "檃": [ - "ㄧㄣ3" - ], - "檄": [ - "ㄒㄧ2" - ], - "檅": [ - "ㄏㄨㄟ4" - ], - "檆": [ - "ㄕㄢ1" - ], - "檇": [ - "ㄗㄨㄟ4" - ], - "檈": [ - "ㄒㄩㄢ2" - ], - "檉": [ - "ㄔㄥ1" - ], - "檊": [ - "ㄍㄢ4" - ], - "檋": [ - "ㄐㄩ2" - ], - "檌": [ - "ㄗㄨㄟ4" - ], - "檍": [ - "ㄧ4" - ], - "檎": [ - "ㄑㄧㄣ2" - ], - "檏": [ - "ㄆㄨ3" - ], - "檐": [ - "ㄧㄢ2", - "ㄉㄢ1" - ], - "檑": [ - "ㄌㄟ2", - "ㄌㄟ4" - ], - "檒": [ - "ㄈㄥ1" - ], - "檓": [ - "ㄏㄨㄟ3" - ], - "檔": [ - "ㄉㄤ4", - "ㄉㄤ1" - ], - "檕": [ - "ㄐㄧ4" - ], - "檖": [ - "ㄙㄨㄟ4" - ], - "檗": [ - "ㄅㄛ4", - "ㄅㄧ4" - ], - "檘": [ - "ㄆㄧㄥ2", - "ㄅㄛ4" - ], - "檙": [ - "ㄔㄥ2" - ], - "檚": [ - "ㄔㄨ3" - ], - "檛": [ - "ㄓㄨㄚ1" - ], - "檜": [ - "ㄍㄨㄟ4", - "ㄎㄨㄞ4", - "ㄏㄨㄟ4" - ], - "檝": [ - "ㄐㄧ2" - ], - "檞": [ - "ㄐㄧㄝ3", - "ㄒㄧㄝ4" - ], - "檟": [ - "ㄐㄧㄚ3" - ], - "檠": [ - "ㄑㄧㄥ2", - "ㄐㄧㄥ4" - ], - "檡": [ - "ㄓㄞ2", - "ㄕ4", - "ㄊㄨ2" - ], - "檢": [ - "ㄐㄧㄢ3" - ], - "檣": [ - "ㄑㄧㄤ2" - ], - "檤": [ - "ㄉㄠ4" - ], - "檥": [ - "ㄧ3" - ], - "檦": [ - "ㄅㄧㄠ3" - ], - "檧": [ - "ㄙㄨㄥ1" - ], - "檨": [ - "ㄕㄜ1" - ], - "檩": [ - "ㄌㄧㄣ3" - ], - "檪": [ - "ㄌㄧ4" - ], - "檫": [ - "ㄔㄚ2", - "ㄙㄚ4" - ], - "檬": [ - "ㄇㄥ2" - ], - "檭": [ - "ㄧㄣ2" - ], - "檮": [ - "ㄊㄠ2", - "ㄔㄡ2", - "ㄉㄠ4" - ], - "檯": [ - "ㄊㄞ2" - ], - "檰": [ - "ㄇㄧㄢ2" - ], - "檱": [ - "ㄑㄧ2" - ], - "檲": [ - "ㄊㄨㄢ2" - ], - "檳": [ - "ㄅㄧㄣ1", - "ㄅㄧㄥ1" - ], - "檴": [ - "ㄏㄨㄛ4", - "ㄏㄨㄚ4" - ], - "檵": [ - "ㄐㄧ4" - ], - "檶": [ - "ㄑㄧㄢ1" - ], - "檷": [ - "ㄋㄧ3", - "ㄇㄧ2" - ], - "檸": [ - "ㄋㄧㄥ2" - ], - "檹": [ - "ㄧ1" - ], - "檺": [ - "ㄍㄠ3" - ], - "檻": [ - "ㄎㄢ3", - "ㄐㄧㄢ4" - ], - "檼": [ - "ㄧㄣ4" - ], - "檽": [ - "ㄋㄡ4", - "ㄖㄨㄢ3", - "ㄖㄨ2" - ], - "檾": [ - "ㄑㄧㄥ3" - ], - "檿": [ - "ㄧㄢ3" - ], - "櫀": [ - "ㄑㄧ2" - ], - "櫁": [ - "ㄇㄧ4" - ], - "櫂": [ - "ㄓㄠ4", - "ㄉㄧ2" - ], - "櫃": [ - "ㄍㄨㄟ4" - ], - "櫄": [ - "ㄔㄨㄣ1" - ], - "櫅": [ - "ㄐㄧ1", - "ㄐㄧ4" - ], - "櫆": [ - "ㄎㄨㄟ2" - ], - "櫇": [ - "ㄆㄛ2" - ], - "櫈": [ - "ㄉㄥ4" - ], - "櫉": [ - "ㄔㄨ2" - ], - "櫊": [ - "ㄍㄜ2" - ], - "櫋": [ - "ㄇㄧㄢ2" - ], - "櫌": [ - "ㄧㄡ1" - ], - "櫍": [ - "ㄓ4" - ], - "櫎": [ - "ㄏㄨㄤ3", - "ㄍㄨㄤ4", - "ㄍㄨㄛ3", - "ㄍㄨ3" - ], - "櫏": [ - "ㄑㄧㄢ1" - ], - "櫐": [ - "ㄌㄟ3" - ], - "櫑": [ - "ㄌㄟ2", - "ㄌㄟ3" - ], - "櫒": [ - "ㄙㄚ4" - ], - "櫓": [ - "ㄌㄨ3" - ], - "櫔": [ - "ㄌㄧ4" - ], - "櫕": [ - "ㄘㄨㄢ2" - ], - "櫖": [ - "ㄌㄩ4", - "ㄔㄨ1" - ], - "櫗": [ - "ㄇㄧㄝ4", - "ㄇㄟ4" - ], - "櫘": [ - "ㄏㄨㄟ4" - ], - "櫙": [ - "ㄡ1" - ], - "櫚": [ - "ㄌㄩ2" - ], - "櫛": [ - "ㄓ4" - ], - "櫜": [ - "ㄍㄠ1" - ], - "櫝": [ - "ㄉㄨ2" - ], - "櫞": [ - "ㄩㄢ2" - ], - "櫟": [ - "ㄌㄧ4", - "ㄌㄨㄛ4", - "ㄩㄝ4" - ], - "櫠": [ - "ㄈㄟ4" - ], - "櫡": [ - "ㄓㄨㄛ2", - "ㄓㄨ4" - ], - "櫢": [ - "ㄙㄡ3" - ], - "櫣": [ - "ㄌㄧㄢ2" - ], - "櫤": [ - "ㄐㄧㄤ4" - ], - "櫥": [ - "ㄔㄨ2" - ], - "櫦": [ - "ㄑㄧㄥ4" - ], - "櫧": [ - "ㄓㄨ1" - ], - "櫨": [ - "ㄌㄨ2", - "ㄌㄩ2" - ], - "櫩": [ - "ㄧㄢ2", - "ㄧㄢ3" - ], - "櫪": [ - "ㄌㄧ4" - ], - "櫫": [ - "ㄓㄨ1" - ], - "櫬": [ - "ㄔㄣ4", - "ㄑㄧㄣ4", - "ㄍㄨㄢ4" - ], - "櫭": [ - "ㄐㄧㄝ2", - "ㄐㄧ4" - ], - "櫮": [ - "ㄜ4" - ], - "櫯": [ - "ㄙㄨ1" - ], - "櫰": [ - "ㄏㄨㄞ2", - "ㄍㄨㄟ1" - ], - "櫱": [ - "ㄋㄧㄝ4" - ], - "櫲": [ - "ㄩ4" - ], - "櫳": [ - "ㄌㄨㄥ2" - ], - "櫴": [ - "ㄌㄞ4" - ], - "櫵": [ - "ㄐㄧㄠ5" - ], - "櫶": [ - "ㄒㄧㄢ3" - ], - "櫷": [ - "ㄍㄨㄟ1" - ], - "櫸": [ - "ㄐㄩ3" - ], - "櫹": [ - "ㄒㄧㄠ1", - "ㄑㄧㄡ1", - "ㄒㄧㄡ1" - ], - "櫺": [ - "ㄌㄧㄥ2" - ], - "櫻": [ - "ㄧㄥ1" - ], - "櫼": [ - "ㄐㄧㄢ1", - "ㄕㄢ1" - ], - "櫽": [ - "ㄧㄣ3" - ], - "櫾": [ - "ㄧㄡ2", - "ㄧㄡ4" - ], - "櫿": [ - "ㄧㄥ2" - ], - "欀": [ - "ㄒㄧㄤ1", - "ㄖㄤ4" - ], - "欁": [ - "ㄋㄨㄥ2" - ], - "欂": [ - "ㄅㄛ2" - ], - "欃": [ - "ㄔㄢ2", - "ㄓㄢ4" - ], - "欄": [ - "ㄌㄢ2", - "ㄌㄧㄢ4" - ], - "欅": [ - "ㄐㄩ3" - ], - "欆": [ - "ㄕㄨㄤ1" - ], - "欇": [ - "ㄕㄜ4" - ], - "欈": [ - "ㄨㄟ2", - "ㄗㄨㄟ4" - ], - "欉": [ - "ㄘㄨㄥ2" - ], - "權": [ - "ㄑㄩㄢ2", - "ㄍㄨㄢ4" - ], - "欋": [ - "ㄑㄩ2" - ], - "欌": [ - "ㄘㄤ2" - ], - "欍": [ - "ㄐㄧㄡ4" - ], - "欎": [ - "ㄩ4" - ], - "欏": [ - "ㄌㄨㄛ2", - "ㄌㄨㄛ3" - ], - "欐": [ - "ㄌㄧ4", - "ㄌㄧ3" - ], - "欑": [ - "ㄘㄨㄢ2", - "ㄗㄨㄢ4" - ], - "欒": [ - "ㄌㄨㄢ2" - ], - "欓": [ - "ㄉㄤ3", - "ㄊㄤ3" - ], - "欔": [ - "ㄐㄩㄝ2" - ], - "欕": [ - "ㄧㄢ2" - ], - "欖": [ - "ㄌㄢ3" - ], - "欗": [ - "ㄌㄢ2" - ], - "欘": [ - "ㄓㄨ2" - ], - "欙": [ - "ㄌㄟ2", - "ㄌㄨㄛ3" - ], - "欚": [ - "ㄌㄧ3" - ], - "欛": [ - "ㄅㄚ4" - ], - "欜": [ - "ㄋㄤ2" - ], - "欝": [ - "ㄩ4" - ], - "欞": [ - "ㄌㄧㄥ2" - ], - "欟": [ - "ㄍㄨㄤ5" - ], - "欠": [ - "ㄑㄧㄢ4" - ], - "次": [ - "ㄘ4", - "ㄗ1", - "ㄘ2" - ], - "欢": [ - "ㄏㄨㄢ1" - ], - "欣": [ - "ㄒㄧㄣ1" - ], - "欤": [ - "ㄩ2" - ], - "欥": [ - "ㄧ4", - "ㄏㄨㄢ1", - "ㄩ4" - ], - "欦": [ - "ㄑㄧㄢ1", - "ㄏㄢ1", - "ㄒㄧㄢ1", - "ㄑㄧㄢ2" - ], - "欧": [ - "ㄡ1" - ], - "欨": [ - "ㄒㄩ1" - ], - "欩": [ - "ㄔㄠ1" - ], - "欪": [ - "ㄔㄨ4", - "ㄒㄧ4", - "ㄑㄩ4" - ], - "欫": [ - "ㄑㄧ4" - ], - "欬": [ - "ㄎㄞ4", - "ㄞ4" - ], - "欭": [ - "ㄧ4", - "ㄧㄣ1" - ], - "欮": [ - "ㄐㄩㄝ2" - ], - "欯": [ - "ㄒㄧ4", - "ㄎㄞ4" - ], - "欰": [ - "ㄒㄩ4" - ], - "欱": [ - "ㄏㄜ1", - "ㄒㄧㄚ2" - ], - "欲": [ - "ㄩ4" - ], - "欳": [ - "ㄎㄨㄟ4" - ], - "欴": [ - "ㄌㄤ2" - ], - "欵": [ - "ㄎㄨㄢ3" - ], - "欶": [ - "ㄕㄨㄛ4", - "ㄙㄡ4" - ], - "欷": [ - "ㄒㄧ1" - ], - "欸": [ - "ㄞ1", - "ㄞ3", - "ê1", - "ê2", - "ê3", - "ê4", - "ㄒㄧㄝ4", - "ㄟ2", - "ㄟ3", - "ㄟ4", - "ㄟ1" - ], - "欹": [ - "ㄧ1", - "ㄑㄧ1" - ], - "欺": [ - "ㄑㄧ1" - ], - "欻": [ - "ㄔㄨㄚ1", - "ㄒㄩ1" - ], - "欼": [ - "ㄔ3", - "ㄔㄨㄞ4" - ], - "欽": [ - "ㄑㄧㄣ1", - "ㄑㄧㄣ4", - "ㄧㄣ2" - ], - "款": [ - "ㄎㄨㄢ3", - "ㄒㄧㄣ1" - ], - "欿": [ - "ㄎㄢ3", - "ㄑㄧㄢ4", - "ㄉㄢ4" - ], - "歀": [ - "ㄎㄨㄢ3" - ], - "歁": [ - "ㄎㄢ3", - "ㄎㄜ4", - "ㄑㄧㄢ3" - ], - "歂": [ - "ㄔㄨㄢ3", - "ㄔㄨㄢ2" - ], - "歃": [ - "ㄕㄚ4", - "ㄒㄧㄚ2" - ], - "歄": [ - "ㄍㄨㄚ1" - ], - "歅": [ - "ㄧㄣ1" - ], - "歆": [ - "ㄒㄧㄣ1" - ], - "歇": [ - "ㄒㄧㄝ1", - "ㄧㄚ4" - ], - "歈": [ - "ㄩ2" - ], - "歉": [ - "ㄑㄧㄢ4" - ], - "歊": [ - "ㄒㄧㄠ1" - ], - "歋": [ - "ㄧㄝ4" - ], - "歌": [ - "ㄍㄜ1" - ], - "歍": [ - "ㄨ1", - "ㄧㄤ1" - ], - "歎": [ - "ㄊㄢ4" - ], - "歏": [ - "ㄐㄧㄣ4", - "ㄑㄩㄣ1" - ], - "歐": [ - "ㄡ1", - "ㄡ3" - ], - "歑": [ - "ㄏㄨ1" - ], - "歒": [ - "ㄊㄧ4", - "ㄒㄧㄠ1" - ], - "歓": [ - "ㄏㄨㄢ1" - ], - "歔": [ - "ㄒㄩ1" - ], - "歕": [ - "ㄆㄣ1" - ], - "歖": [ - "ㄒㄧ3", - "ㄧ3" - ], - "歗": [ - "ㄒㄧㄠ4" - ], - "歘": [ - "ㄔㄨㄚ1", - "ㄒㄩ1" - ], - "歙": [ - "ㄕㄜ4", - "ㄒㄧ1", - "ㄒㄧㄝ2" - ], - "歚": [ - "ㄕㄢ4" - ], - "歛": [ - "ㄏㄢ1", - "ㄌㄧㄢ3" - ], - "歜": [ - "ㄔㄨ4" - ], - "歝": [ - "ㄧ4" - ], - "歞": [ - "ㄜ4" - ], - "歟": [ - "ㄩ2" - ], - "歠": [ - "ㄔㄨㄛ4" - ], - "歡": [ - "ㄏㄨㄢ1" - ], - "止": [ - "ㄓ3" - ], - "正": [ - "ㄓㄥ4", - "ㄓㄥ1" - ], - "此": [ - "ㄘ3" - ], - "步": [ - "ㄅㄨ4" - ], - "武": [ - "ㄨ3" - ], - "歧": [ - "ㄑㄧ2" - ], - "歨": [ - "ㄅㄨ4" - ], - "歩": [ - "ㄅㄨ4" - ], - "歪": [ - "ㄨㄞ1", - "ㄨㄞ3" - ], - "歫": [ - "ㄐㄩ4" - ], - "歬": [ - "ㄑㄧㄢ2" - ], - "歭": [ - "ㄔ2", - "ㄓ4" - ], - "歮": [ - "ㄙㄜ4" - ], - "歯": [ - "ㄔ3" - ], - "歰": [ - "ㄙㄜ4", - "ㄕㄚ4" - ], - "歱": [ - "ㄓㄨㄥ3" - ], - "歲": [ - "ㄙㄨㄟ4", - "ㄙㄨㄛ4" - ], - "歳": [ - "ㄙㄨㄟ4" - ], - "歴": [ - "ㄌㄧ4" - ], - "歵": [ - "ㄗㄜ2" - ], - "歶": [ - "ㄩ2" - ], - "歷": [ - "ㄌㄧ4" - ], - "歸": [ - "ㄍㄨㄟ1", - "ㄎㄨㄟ4", - "ㄎㄨㄟ2" - ], - "歹": [ - "ㄉㄞ3", - "ㄜ4", - "ㄉㄞ1" - ], - "歺": [ - "ㄜ4" - ], - "死": [ - "ㄙ3" - ], - "歼": [ - "ㄐㄧㄢ1" - ], - "歽": [ - "ㄓㄜ2" - ], - "歾": [ - "ㄇㄛ4", - "ㄨㄣ3" - ], - "歿": [ - "ㄇㄛ4" - ], - "殀": [ - "ㄧㄠ1" - ], - "殁": [ - "ㄇㄛ4", - "ㄨㄣ3" - ], - "殂": [ - "ㄘㄨ2" - ], - "殃": [ - "ㄧㄤ1" - ], - "殄": [ - "ㄊㄧㄢ3" - ], - "殅": [ - "ㄕㄥ1" - ], - "殆": [ - "ㄉㄞ4" - ], - "殇": [ - "ㄕㄤ1" - ], - "殈": [ - "ㄒㄩ4" - ], - "殉": [ - "ㄒㄩㄣ4" - ], - "殊": [ - "ㄕㄨ1" - ], - "残": [ - "ㄘㄢ2" - ], - "殌": [ - "ㄐㄩㄝ2" - ], - "殍": [ - "ㄆㄧㄠ3", - "ㄅㄧ4" - ], - "殎": [ - "ㄑㄧㄚ4" - ], - "殏": [ - "ㄑㄧㄡ2" - ], - "殐": [ - "ㄙㄨ4" - ], - "殑": [ - "ㄑㄧㄥ2", - "ㄐㄧㄥ1", - "ㄐㄧㄥ4" - ], - "殒": [ - "ㄩㄣ3" - ], - "殓": [ - "ㄌㄧㄢ4" - ], - "殔": [ - "ㄧ4" - ], - "殕": [ - "ㄈㄡ3", - "ㄧㄝ4", - "ㄅㄛ2" - ], - "殖": [ - "ㄓ2", - "ㄕ5", - "ㄕ4" - ], - "殗": [ - "ㄧㄝ4", - "ㄧㄢ4", - "ㄧㄢ1" - ], - "殘": [ - "ㄘㄢ2" - ], - "殙": [ - "ㄏㄨㄣ1", - "ㄇㄣ4" - ], - "殚": [ - "ㄉㄢ1" - ], - "殛": [ - "ㄐㄧ2" - ], - "殜": [ - "ㄉㄧㄝ2" - ], - "殝": [ - "ㄓㄣ1" - ], - "殞": [ - "ㄩㄣ3" - ], - "殟": [ - "ㄨㄣ1" - ], - "殠": [ - "ㄔㄡ4" - ], - "殡": [ - "ㄅㄧㄣ4" - ], - "殢": [ - "ㄊㄧ4" - ], - "殣": [ - "ㄐㄧㄣ4" - ], - "殤": [ - "ㄕㄤ1" - ], - "殥": [ - "ㄧㄣ2" - ], - "殦": [ - "ㄉㄧㄠ1" - ], - "殧": [ - "ㄐㄧㄡ4" - ], - "殨": [ - "ㄏㄨㄟ4", - "ㄎㄨㄟ4" - ], - "殩": [ - "ㄘㄨㄢ4" - ], - "殪": [ - "ㄧ4" - ], - "殫": [ - "ㄉㄢ1" - ], - "殬": [ - "ㄉㄨ4" - ], - "殭": [ - "ㄐㄧㄤ1" - ], - "殮": [ - "ㄌㄧㄢ4" - ], - "殯": [ - "ㄅㄧㄣ4" - ], - "殰": [ - "ㄉㄨ2" - ], - "殱": [ - "ㄐㄧㄢ1" - ], - "殲": [ - "ㄐㄧㄢ1" - ], - "殳": [ - "ㄕㄨ1" - ], - "殴": [ - "ㄡ1" - ], - "段": [ - "ㄉㄨㄢ4" - ], - "殶": [ - "ㄓㄨ4" - ], - "殷": [ - "ㄧㄣ1", - "ㄧㄢ1", - "ㄧㄣ3" - ], - "殸": [ - "ㄑㄧㄥ4", - "ㄎㄥ1", - "ㄕㄥ1" - ], - "殹": [ - "ㄧ4" - ], - "殺": [ - "ㄕㄚ1", - "ㄕㄞ4", - "ㄙㄚ4", - "ㄒㄧㄝ4", - "ㄕ4" - ], - "殻": [ - "ㄑㄧㄠ4" - ], - "殼": [ - "ㄎㄜ2", - "ㄑㄧㄠ4" - ], - "殽": [ - "ㄒㄧㄠ2", - "ㄧㄠ2", - "ㄒㄧㄠ4" - ], - "殾": [ - "ㄒㄩㄣ4" - ], - "殿": [ - "ㄉㄧㄢ4" - ], - "毀": [ - "ㄏㄨㄟ3" - ], - "毁": [ - "ㄏㄨㄟ3", - "ㄏㄨㄟ4" - ], - "毂": [ - "ㄍㄨ3", - "ㄍㄨ1" - ], - "毃": [ - "ㄑㄧㄠ1" - ], - "毄": [ - "ㄐㄧ1" - ], - "毅": [ - "ㄧ4" - ], - "毆": [ - "ㄡ1", - "ㄎㄡ1", - "ㄑㄩ1" - ], - "毇": [ - "ㄏㄨㄟ3" - ], - "毈": [ - "ㄉㄨㄢ4" - ], - "毉": [ - "ㄧ1" - ], - "毊": [ - "ㄒㄧㄠ1" - ], - "毋": [ - "ㄨ2", - "ㄇㄡ2" - ], - "毌": [ - "ㄍㄨㄢ4" - ], - "母": [ - "ㄇㄨ3", - "ㄇㄨ2", - "ㄨ3", - "ㄨ2" - ], - "毎": [ - "ㄇㄟ3" - ], - "每": [ - "ㄇㄟ3" - ], - "毐": [ - "ㄞ3" - ], - "毑": [ - "ㄐㄧㄝ3" - ], - "毒": [ - "ㄉㄨ2", - "ㄉㄞ4" - ], - "毓": [ - "ㄩ4" - ], - "比": [ - "ㄅㄧ3", - "ㄅㄧ4", - "ㄆㄧ2", - "ㄆㄧ3" - ], - "毕": [ - "ㄅㄧ4" - ], - "毖": [ - "ㄅㄧ4" - ], - "毗": [ - "ㄆㄧ2" - ], - "毘": [ - "ㄆㄧ2" - ], - "毙": [ - "ㄅㄧ4" - ], - "毚": [ - "ㄔㄢ2" - ], - "毛": [ - "ㄇㄠ2", - "ㄇㄠ4" - ], - "毜": [ - "ㄏㄠ2" - ], - "毝": [ - "ㄘㄞ3" - ], - "毞": [ - "ㄆㄧ2" - ], - "毟": [ - "ㄌㄧㄝ3" - ], - "毠": [ - "ㄐㄧㄚ1" - ], - "毡": [ - "ㄓㄢ1" - ], - "毢": [ - "ㄙㄞ1" - ], - "毣": [ - "ㄇㄨ4", - "ㄇㄠ4" - ], - "毤": [ - "ㄊㄨㄛ4" - ], - "毥": [ - "ㄒㄩㄣ2", - "ㄒㄩㄣ4" - ], - "毦": [ - "ㄦ3" - ], - "毧": [ - "ㄖㄨㄥ2" - ], - "毨": [ - "ㄒㄧㄢ3" - ], - "毩": [ - "ㄐㄩ2" - ], - "毪": [ - "ㄇㄨ2" - ], - "毫": [ - "ㄏㄠ2" - ], - "毬": [ - "ㄑㄧㄡ2" - ], - "毭": [ - "ㄉㄡ4", - "ㄋㄨㄛ4" - ], - "毮": [ - "ㄕㄚ1" - ], - "毯": [ - "ㄊㄢ3" - ], - "毰": [ - "ㄆㄟ2" - ], - "毱": [ - "ㄐㄩ2" - ], - "毲": [ - "ㄉㄨㄛ1" - ], - "毳": [ - "ㄘㄨㄟ4", - "ㄑㄧㄠ1", - "ㄒㄧㄚ1" - ], - "毴": [ - "ㄅㄧ1" - ], - "毵": [ - "ㄙㄢ1" - ], - "毶": [ - "ㄙㄢ1" - ], - "毷": [ - "ㄇㄠ4" - ], - "毸": [ - "ㄙㄞ1", - "ㄙㄨㄟ1" - ], - "毹": [ - "ㄕㄨ1", - "ㄩ2" - ], - "毺": [ - "ㄕㄨ1" - ], - "毻": [ - "ㄊㄨㄛ4" - ], - "毼": [ - "ㄏㄜ2", - "ㄎㄜ3", - "ㄉㄚ1" - ], - "毽": [ - "ㄐㄧㄢ4" - ], - "毾": [ - "ㄊㄚ4" - ], - "毿": [ - "ㄙㄢ1" - ], - "氀": [ - "ㄌㄩ2", - "ㄕㄨ1", - "ㄩ2", - "ㄉㄡ1" - ], - "氁": [ - "ㄇㄨ2" - ], - "氂": [ - "ㄇㄠ2", - "ㄌㄧ2" - ], - "氃": [ - "ㄊㄨㄥ2" - ], - "氄": [ - "ㄖㄨㄥ3", - "ㄖㄨㄥ2" - ], - "氅": [ - "ㄔㄤ3" - ], - "氆": [ - "ㄆㄨ3" - ], - "氇": [ - "ㄌㄨ5" - ], - "氈": [ - "ㄓㄢ1" - ], - "氉": [ - "ㄙㄠ4" - ], - "氊": [ - "ㄓㄢ1" - ], - "氋": [ - "ㄇㄥ2" - ], - "氌": [ - "ㄌㄨ3" - ], - "氍": [ - "ㄑㄩ2" - ], - "氎": [ - "ㄉㄧㄝ2" - ], - "氏": [ - "ㄕ4", - "ㄓ1", - "ㄐㄧㄥ1" - ], - "氐": [ - "ㄉㄧ1", - "ㄉㄧ3", - "ㄓ1" - ], - "民": [ - "ㄇㄧㄣ2" - ], - "氒": [ - "ㄐㄩㄝ2" - ], - "氓": [ - "ㄇㄤ2", - "ㄇㄥ2" - ], - "气": [ - "ㄑㄧ4", - "ㄑㄧ3" - ], - "氕": [ - "ㄆㄧㄝ1" - ], - "氖": [ - "ㄋㄞ3" - ], - "気": [ - "ㄑㄧ4" - ], - "氘": [ - "ㄉㄠ1" - ], - "氙": [ - "ㄒㄧㄢ1" - ], - "氚": [ - "ㄔㄨㄢ1" - ], - "氛": [ - "ㄈㄣ1" - ], - "氜": [ - "ㄧㄤ2", - "ㄖ4" - ], - "氝": [ - "ㄋㄟ4" - ], - "氞": [ - "ㄅㄧㄣ5" - ], - "氟": [ - "ㄈㄨ2" - ], - "氠": [ - "ㄕㄣ1" - ], - "氡": [ - "ㄉㄨㄥ1" - ], - "氢": [ - "ㄑㄧㄥ1" - ], - "氣": [ - "ㄑㄧ4", - "ㄒㄧ4" - ], - "氤": [ - "ㄧㄣ1", - "ㄧㄢ2" - ], - "氥": [ - "ㄒㄧ1" - ], - "氦": [ - "ㄏㄞ4" - ], - "氧": [ - "ㄧㄤ3" - ], - "氨": [ - "ㄢ1" - ], - "氩": [ - "ㄧㄚ4" - ], - "氪": [ - "ㄎㄜ4" - ], - "氫": [ - "ㄑㄧㄥ1" - ], - "氬": [ - "ㄧㄚ4" - ], - "氭": [ - "ㄉㄨㄥ1" - ], - "氮": [ - "ㄉㄢ4" - ], - "氯": [ - "ㄌㄩ4" - ], - "氰": [ - "ㄑㄧㄥ2" - ], - "氱": [ - "ㄧㄤ3" - ], - "氲": [ - "ㄩㄣ1", - "ㄩㄣ2" - ], - "氳": [ - "ㄩㄣ1" - ], - "水": [ - "ㄕㄨㄟ3" - ], - "氵": [ - "ㄕㄨㄟ5" - ], - "氶": [ - "ㄓㄥ3", - "ㄔㄥ2", - "ㄓㄥ4" - ], - "氷": [ - "ㄅㄧㄥ1" - ], - "永": [ - "ㄩㄥ3" - ], - "氹": [ - "ㄉㄤ4" - ], - "氺": [ - "ㄕㄨㄟ3" - ], - "氻": [ - "ㄌㄜ4" - ], - "氼": [ - "ㄋㄧ4", - "ㄇㄟ4" - ], - "氽": [ - "ㄊㄨㄣ3", - "ㄑㄧㄡ2" - ], - "氾": [ - "ㄈㄢ4", - "ㄈㄢ2" - ], - "氿": [ - "ㄍㄨㄟ3", - "ㄐㄧㄡ3", - "ㄑㄧㄡ2" - ], - "汀": [ - "ㄊㄧㄥ1", - "ㄊㄧㄥ4", - "ㄉㄧㄥ4" - ], - "汁": [ - "ㄓ1", - "ㄒㄧㄝ2", - "ㄕ2" - ], - "求": [ - "ㄑㄧㄡ2" - ], - "汃": [ - "ㄅㄧㄣ1", - "ㄆㄚ4", - "ㄆㄚ1" - ], - "汄": [ - "ㄗㄜ4" - ], - "汅": [ - "ㄇㄧㄢ3" - ], - "汆": [ - "ㄘㄨㄢ1" - ], - "汇": [ - "ㄏㄨㄟ4" - ], - "汈": [ - "ㄉㄧㄠ1" - ], - "汉": [ - "ㄏㄢ4" - ], - "汊": [ - "ㄔㄚ4" - ], - "汋": [ - "ㄓㄨㄛ2", - "ㄩㄝ4", - "ㄑㄩㄝ4", - "ㄕㄨㄛ4" - ], - "汌": [ - "ㄔㄨㄢ4" - ], - "汍": [ - "ㄨㄢ2", - "ㄏㄨㄢ2" - ], - "汎": [ - "ㄈㄢ4", - "ㄈㄚ2" - ], - "汏": [ - "ㄉㄚ4", - "ㄊㄞ4" - ], - "汐": [ - "ㄒㄧ1" - ], - "汑": [ - "ㄊㄨㄛ1" - ], - "汒": [ - "ㄇㄤ2", - "ㄇㄤ3" - ], - "汓": [ - "ㄑㄧㄡ2", - "ㄧㄡ2" - ], - "汔": [ - "ㄑㄧ4" - ], - "汕": [ - "ㄕㄢ4", - "ㄕㄨㄢ4" - ], - "汖": [ - "ㄆㄧㄣ4", - "ㄔ2" - ], - "汗": [ - "ㄏㄢ4", - "ㄏㄢ2", - "ㄍㄢ1" - ], - "汘": [ - "ㄑㄧㄢ1" - ], - "汙": [ - "ㄨ1", - "ㄩ2", - "ㄨㄚ1", - "ㄩ1" - ], - "汚": [ - "ㄨ1" - ], - "汛": [ - "ㄒㄩㄣ4" - ], - "汜": [ - "ㄙ4" - ], - "汝": [ - "ㄖㄨ3" - ], - "汞": [ - "ㄍㄨㄥ3" - ], - "江": [ - "ㄐㄧㄤ1" - ], - "池": [ - "ㄔ2", - "ㄊㄨㄛ2", - "ㄔㄜ4" - ], - "污": [ - "ㄨ1" - ], - "汢": [ - "ㄊㄨ5" - ], - "汣": [ - "ㄐㄧㄡ3" - ], - "汤": [ - "ㄊㄤ1", - "ㄕㄤ1" - ], - "汥": [ - "ㄓ1", - "ㄐㄧ4" - ], - "汦": [ - "ㄓ3" - ], - "汧": [ - "ㄑㄧㄢ1", - "ㄧㄢ2" - ], - "汨": [ - "ㄇㄧ4" - ], - "汩": [ - "ㄍㄨ3", - "ㄩ4", - "ㄏㄨ2" - ], - "汪": [ - "ㄨㄤ1", - "ㄨㄤ3", - "ㄏㄨㄥ2" - ], - "汫": [ - "ㄐㄧㄥ3" - ], - "汬": [ - "ㄐㄧㄥ3" - ], - "汭": [ - "ㄖㄨㄟ4", - "ㄊㄨㄣ1" - ], - "汮": [ - "ㄐㄩㄣ1" - ], - "汯": [ - "ㄏㄨㄥ2" - ], - "汰": [ - "ㄊㄞ4" - ], - "汱": [ - "ㄑㄩㄢ3", - "ㄈㄨ2" - ], - "汲": [ - "ㄐㄧ2", - "ㄐㄧ1" - ], - "汳": [ - "ㄅㄧㄢ4" - ], - "汴": [ - "ㄅㄧㄢ4" - ], - "汵": [ - "ㄍㄢ4", - "ㄏㄢ2", - "ㄘㄣ2" - ], - "汶": [ - "ㄨㄣ4", - "ㄨㄣ2", - "ㄇㄧㄣ2", - "ㄇㄣ2" - ], - "汷": [ - "ㄓㄨㄥ1" - ], - "汸": [ - "ㄈㄤ1", - "ㄆㄤ1" - ], - "汹": [ - "ㄒㄩㄥ1" - ], - "決": [ - "ㄐㄩㄝ2", - "ㄑㄩㄝ1", - "ㄒㄩㄝ4" - ], - "汻": [ - "ㄏㄨ3", - "ㄏㄨㄤ3" - ], - "汼": [ - "ㄋㄧㄡ2", - "ㄧㄡ2" - ], - "汽": [ - "ㄑㄧ4", - "ㄍㄞ4", - "ㄧ3" - ], - "汾": [ - "ㄈㄣ2", - "ㄆㄣ2", - "ㄈㄣ1" - ], - "汿": [ - "ㄒㄩ4" - ], - "沀": [ - "ㄒㄩ4" - ], - "沁": [ - "ㄑㄧㄣ4" - ], - "沂": [ - "ㄧ2", - "ㄧㄣ2" - ], - "沃": [ - "ㄨㄛ4" - ], - "沄": [ - "ㄩㄣ2" - ], - "沅": [ - "ㄩㄢ2" - ], - "沆": [ - "ㄏㄤ4", - "ㄏㄤ2", - "ㄎㄤ4" - ], - "沇": [ - "ㄧㄢ3", - "ㄨㄟ3" - ], - "沈": [ - "ㄕㄣ3", - "ㄔㄣ2", - "ㄊㄢ2" - ], - "沉": [ - "ㄔㄣ2" - ], - "沊": [ - "ㄉㄢ4" - ], - "沋": [ - "ㄧㄡ2" - ], - "沌": [ - "ㄉㄨㄣ4", - "ㄓㄨㄢ4", - "ㄊㄨㄣ2", - "ㄔㄨㄣ2" - ], - "沍": [ - "ㄏㄨ4", - "ㄏㄨ2" - ], - "沎": [ - "ㄏㄨㄛ4" - ], - "沏": [ - "ㄑㄧ1", - "ㄑㄧㄝ4" - ], - "沐": [ - "ㄇㄨ4" - ], - "沑": [ - "ㄋㄩ4", - "ㄋㄧㄡ3" - ], - "沒": [ - "ㄇㄟ2" - ], - "沓": [ - "ㄉㄚ2", - "ㄊㄚ4" - ], - "沔": [ - "ㄇㄧㄢ3" - ], - "沕": [ - "ㄇㄧ4", - "ㄨ4", - "ㄈㄨ1" - ], - "沖": [ - "ㄔㄨㄥ1" - ], - "沗": [ - "ㄆㄤ1", - "ㄊㄧㄢ1" - ], - "沘": [ - "ㄅㄧ3" - ], - "沙": [ - "ㄕㄚ1", - "ㄕㄚ4", - "ㄙㄨㄛ1" - ], - "沚": [ - "ㄓ3" - ], - "沛": [ - "ㄆㄟ4" - ], - "沜": [ - "ㄆㄢ4" - ], - "沝": [ - "ㄓㄨㄟ3", - "ㄗ3" - ], - "沞": [ - "ㄗㄚ1" - ], - "沟": [ - "ㄍㄡ1" - ], - "沠": [ - "ㄌㄧㄡ2" - ], - "没": [ - "ㄇㄟ2", - "ㄇㄛ4", - "ㄇㄜ5" - ], - "沢": [ - "ㄗㄜ2" - ], - "沣": [ - "ㄈㄥ1" - ], - "沤": [ - "ㄡ1", - "ㄡ4" - ], - "沥": [ - "ㄌㄧ4" - ], - "沦": [ - "ㄌㄨㄣ2" - ], - "沧": [ - "ㄘㄤ1" - ], - "沨": [ - "ㄈㄥ1" - ], - "沩": [ - "ㄨㄟ2" - ], - "沪": [ - "ㄏㄨ4" - ], - "沫": [ - "ㄇㄛ4" - ], - "沬": [ - "ㄇㄟ4", - "ㄏㄨㄟ4" - ], - "沭": [ - "ㄕㄨ4" - ], - "沮": [ - "ㄐㄩ3", - "ㄐㄩ1", - "ㄐㄩ4", - "ㄐㄧㄢ1", - "ㄗㄨ3" - ], - "沯": [ - "ㄗㄚ2" - ], - "沰": [ - "ㄊㄨㄛ1", - "ㄉㄨㄛ2" - ], - "沱": [ - "ㄊㄨㄛ2", - "ㄉㄨㄛ4", - "ㄔ2" - ], - "沲": [ - "ㄊㄨㄛ2" - ], - "河": [ - "ㄏㄜ2" - ], - "沴": [ - "ㄌㄧ4", - "ㄓㄣ3" - ], - "沵": [ - "ㄇㄧ3" - ], - "沶": [ - "ㄧ2", - "ㄔ2", - "ㄕ4" - ], - "沷": [ - "ㄈㄚ1" - ], - "沸": [ - "ㄈㄟ4", - "ㄈㄨ2" - ], - "油": [ - "ㄧㄡ2", - "ㄧㄡ4" - ], - "沺": [ - "ㄊㄧㄢ2" - ], - "治": [ - "ㄓ4", - "ㄔ2" - ], - "沼": [ - "ㄓㄠ3" - ], - "沽": [ - "ㄍㄨ1", - "ㄍㄨ3" - ], - "沾": [ - "ㄓㄢ1", - "ㄊㄧㄢ1", - "ㄉㄧㄢ4", - "ㄔㄢ1" - ], - "沿": [ - "ㄧㄢ2", - "ㄧㄢ3", - "ㄧㄢ4" - ], - "泀": [ - "ㄙ1" - ], - "況": [ - "ㄎㄨㄤ4" - ], - "泂": [ - "ㄐㄩㄥ3", - "ㄧㄥ2", - "ㄧㄥ3", - "ㄐㄩㄥ1" - ], - "泃": [ - "ㄐㄩ1", - "ㄍㄡ1" - ], - "泄": [ - "ㄒㄧㄝ4", - "ㄧ4" - ], - "泅": [ - "ㄑㄧㄡ2", - "ㄧㄡ1" - ], - "泆": [ - "ㄧ4", - "ㄉㄧㄝ2" - ], - "泇": [ - "ㄐㄧㄚ1" - ], - "泈": [ - "ㄓㄨㄥ1" - ], - "泉": [ - "ㄑㄩㄢ2" - ], - "泊": [ - "ㄆㄛ1", - "ㄅㄛ2", - "ㄆㄛ4" - ], - "泋": [ - "ㄏㄨㄟ4", - "ㄏㄨㄟ3" - ], - "泌": [ - "ㄇㄧ4", - "ㄅㄧ4" - ], - "泍": [ - "ㄅㄣ1", - "ㄅㄣ4" - ], - "泎": [ - "ㄗㄜ2" - ], - "泏": [ - "ㄓㄨ2", - "ㄎㄨ1" - ], - "泐": [ - "ㄌㄜ4" - ], - "泑": [ - "ㄧㄡ1", - "ㄠ1" - ], - "泒": [ - "ㄍㄨ1" - ], - "泓": [ - "ㄏㄨㄥ2" - ], - "泔": [ - "ㄍㄢ1", - "ㄏㄢ4" - ], - "法": [ - "ㄈㄚ3" - ], - "泖": [ - "ㄇㄠ3", - "ㄌㄧㄡ3" - ], - "泗": [ - "ㄙ4" - ], - "泘": [ - "ㄏㄨ1" - ], - "泙": [ - "ㄆㄧㄥ2", - "ㄆㄥ1" - ], - "泚": [ - "ㄘ3", - "ㄗ3" - ], - "泛": [ - "ㄈㄢ4", - "ㄈㄥ3", - "ㄈㄚ2" - ], - "泜": [ - "ㄓ1", - "ㄔ2", - "ㄓ4" - ], - "泝": [ - "ㄙㄨ4" - ], - "泞": [ - "ㄋㄧㄥ4", - "ㄓㄨ4" - ], - "泟": [ - "ㄔㄥ1" - ], - "泠": [ - "ㄌㄧㄥ2", - "ㄌㄧㄥ3" - ], - "泡": [ - "ㄆㄠ4", - "ㄆㄠ1", - "ㄆㄠ2" - ], - "波": [ - "ㄅㄛ1", - "ㄅㄟ1", - "ㄅㄧ4" - ], - "泣": [ - "ㄑㄧ4", - "ㄌㄧ4", - "ㄙㄜ4" - ], - "泤": [ - "ㄙ4" - ], - "泥": [ - "ㄋㄧ2", - "ㄋㄧ4", - "ㄋㄧ3", - "ㄋㄧㄝ4", - "ㄋㄧㄥ4" - ], - "泦": [ - "ㄐㄩ2" - ], - "泧": [ - "ㄙㄚ4", - "ㄒㄩㄝ4" - ], - "注": [ - "ㄓㄨ4", - "ㄓㄡ4" - ], - "泩": [ - "ㄕㄥ1" - ], - "泪": [ - "ㄌㄟ4" - ], - "泫": [ - "ㄒㄩㄢ4", - "ㄒㄩㄢ2", - "ㄐㄩㄢ1" - ], - "泬": [ - "ㄐㄩㄝ2", - "ㄒㄩㄝ4" - ], - "泭": [ - "ㄈㄨ2" - ], - "泮": [ - "ㄆㄢ4" - ], - "泯": [ - "ㄇㄧㄣ3", - "ㄇㄧㄢ4" - ], - "泰": [ - "ㄊㄞ4" - ], - "泱": [ - "ㄧㄤ1" - ], - "泲": [ - "ㄐㄧ3" - ], - "泳": [ - "ㄩㄥ3" - ], - "泴": [ - "ㄍㄨㄢ4" - ], - "泵": [ - "ㄅㄥ4", - "ㄆㄧㄣ4", - "ㄌㄧㄡ2" - ], - "泶": [ - "ㄒㄩㄝ2" - ], - "泷": [ - "ㄌㄨㄥ2", - "ㄕㄨㄤ1" - ], - "泸": [ - "ㄌㄨ2" - ], - "泹": [ - "ㄉㄢ4" - ], - "泺": [ - "ㄌㄨㄛ4", - "ㄆㄛ1" - ], - "泻": [ - "ㄒㄧㄝ4" - ], - "泼": [ - "ㄆㄛ1" - ], - "泽": [ - "ㄗㄜ2" - ], - "泾": [ - "ㄐㄧㄥ1" - ], - "泿": [ - "ㄧㄣ2" - ], - "洀": [ - "ㄆㄢ2", - "ㄓㄡ1" - ], - "洁": [ - "ㄐㄧㄝ2", - "ㄐㄧ2" - ], - "洂": [ - "ㄧㄝ4" - ], - "洃": [ - "ㄏㄨㄟ1" - ], - "洄": [ - "ㄏㄨㄟ2", - "ㄏㄨㄟ4" - ], - "洅": [ - "ㄗㄞ4" - ], - "洆": [ - "ㄔㄥ2" - ], - "洇": [ - "ㄧㄣ1", - "ㄧㄢ1", - "ㄧㄝ1" - ], - "洈": [ - "ㄨㄟ2" - ], - "洉": [ - "ㄏㄡ4" - ], - "洊": [ - "ㄐㄧㄢ4", - "ㄘㄨㄣ2" - ], - "洋": [ - "ㄧㄤ2", - "ㄒㄧㄤ2", - "ㄧㄤ3" - ], - "洌": [ - "ㄌㄧㄝ4" - ], - "洍": [ - "ㄙ4" - ], - "洎": [ - "ㄐㄧ4" - ], - "洏": [ - "ㄦ2" - ], - "洐": [ - "ㄒㄧㄥ2" - ], - "洑": [ - "ㄈㄨ2", - "ㄈㄨ4" - ], - "洒": [ - "ㄙㄚ3", - "ㄒㄧ3", - "ㄒㄧㄢ3", - "ㄙㄣ3", - "ㄘㄨㄟ3", - "ㄒㄩㄣ4" - ], - "洓": [ - "ㄙㄜ4", - "ㄑㄧ4", - "ㄗ4" - ], - "洔": [ - "ㄓ3" - ], - "洕": [ - "ㄧㄣ4" - ], - "洖": [ - "ㄨ2" - ], - "洗": [ - "ㄒㄧ3", - "ㄒㄧㄢ3" - ], - "洘": [ - "ㄎㄠ3", - "ㄎㄠ4" - ], - "洙": [ - "ㄓㄨ1" - ], - "洚": [ - "ㄐㄧㄤ4", - "ㄏㄨㄥ2" - ], - "洛": [ - "ㄌㄨㄛ4" - ], - "洜": [ - "ㄌㄨㄛ4" - ], - "洝": [ - "ㄢ4", - "ㄧㄢ4", - "ㄜ4" - ], - "洞": [ - "ㄉㄨㄥ4", - "ㄊㄨㄥ2" - ], - "洟": [ - "ㄊㄧ4" - ], - "洠": [ - "ㄇㄡ2" - ], - "洡": [ - "ㄌㄟ4", - "ㄌㄟ3" - ], - "洢": [ - "ㄧ1" - ], - "洣": [ - "ㄇㄧ3" - ], - "洤": [ - "ㄑㄩㄢ2" - ], - "津": [ - "ㄐㄧㄣ1" - ], - "洦": [ - "ㄆㄛ4" - ], - "洧": [ - "ㄨㄟ3" - ], - "洨": [ - "ㄒㄧㄠ2" - ], - "洩": [ - "ㄒㄧㄝ4", - "ㄧ4" - ], - "洪": [ - "ㄏㄨㄥ2" - ], - "洫": [ - "ㄒㄩ4", - "ㄧ4" - ], - "洬": [ - "ㄙㄨ4", - "ㄕㄨㄛ4" - ], - "洭": [ - "ㄎㄨㄤ1" - ], - "洮": [ - "ㄊㄠ2", - "ㄧㄠ2", - "ㄉㄠ4" - ], - "洯": [ - "ㄑㄧㄝ4", - "ㄐㄧㄝ2" - ], - "洰": [ - "ㄐㄩ4" - ], - "洱": [ - "ㄦ3" - ], - "洲": [ - "ㄓㄡ1" - ], - "洳": [ - "ㄖㄨ4", - "ㄖㄨ2" - ], - "洴": [ - "ㄆㄧㄥ2", - "ㄆㄥ1" - ], - "洵": [ - "ㄒㄩㄣ2", - "ㄒㄩㄢ4" - ], - "洶": [ - "ㄒㄩㄥ1" - ], - "洷": [ - "ㄓ4" - ], - "洸": [ - "ㄍㄨㄤ1", - "ㄏㄨㄤ4" - ], - "洹": [ - "ㄏㄨㄢ2" - ], - "洺": [ - "ㄇㄧㄥ2" - ], - "活": [ - "ㄏㄨㄛ2", - "ㄍㄨㄛ1" - ], - "洼": [ - "ㄨㄚ1", - "ㄍㄨㄟ1" - ], - "洽": [ - "ㄑㄧㄚ4", - "ㄏㄜ2" - ], - "派": [ - "ㄆㄞ4", - "ㄇㄞ4", - "ㄅㄞ4", - "ㄆㄚ1" - ], - "洿": [ - "ㄨ1", - "ㄏㄨ4" - ], - "浀": [ - "ㄑㄩ1" - ], - "流": [ - "ㄌㄧㄡ2" - ], - "浂": [ - "ㄧ4" - ], - "浃": [ - "ㄐㄧㄚ1" - ], - "浄": [ - "ㄐㄧㄥ4" - ], - "浅": [ - "ㄑㄧㄢ3", - "ㄐㄧㄢ1" - ], - "浆": [ - "ㄐㄧㄤ1", - "ㄐㄧㄤ4" - ], - "浇": [ - "ㄐㄧㄠ1" - ], - "浈": [ - "ㄓㄣ1" - ], - "浉": [ - "ㄕ1" - ], - "浊": [ - "ㄓㄨㄛ2" - ], - "测": [ - "ㄘㄜ4" - ], - "浌": [ - "ㄈㄚ2" - ], - "浍": [ - "ㄏㄨㄟ4", - "ㄎㄨㄞ4" - ], - "济": [ - "ㄐㄧ4", - "ㄐㄧ3" - ], - "浏": [ - "ㄌㄧㄡ2" - ], - "浐": [ - "ㄔㄢ3" - ], - "浑": [ - "ㄏㄨㄣ2" - ], - "浒": [ - "ㄏㄨ3", - "ㄒㄩ3" - ], - "浓": [ - "ㄋㄨㄥ2" - ], - "浔": [ - "ㄒㄩㄣ2" - ], - "浕": [ - "ㄐㄧㄣ4" - ], - "浖": [ - "ㄌㄧㄝ4" - ], - "浗": [ - "ㄑㄧㄡ2" - ], - "浘": [ - "ㄨㄟ3" - ], - "浙": [ - "ㄓㄜ4" - ], - "浚": [ - "ㄐㄩㄣ4", - "ㄒㄩㄣ4", - "ㄘㄨㄣ2" - ], - "浛": [ - "ㄏㄢ2", - "ㄏㄢ4", - "ㄍㄢ1" - ], - "浜": [ - "ㄅㄤ1", - "ㄅㄧㄣ1" - ], - "浝": [ - "ㄇㄤ2" - ], - "浞": [ - "ㄓㄨㄛ2" - ], - "浟": [ - "ㄧㄡ2", - "ㄉㄧ2" - ], - "浠": [ - "ㄒㄧ1" - ], - "浡": [ - "ㄅㄛ2" - ], - "浢": [ - "ㄉㄡ4" - ], - "浣": [ - "ㄏㄨㄢ4" - ], - "浤": [ - "ㄏㄨㄥ2" - ], - "浥": [ - "ㄧ4", - "ㄧㄚ4" - ], - "浦": [ - "ㄆㄨ3" - ], - "浧": [ - "ㄧㄥ3", - "ㄔㄥ2", - "ㄧㄥ2", - "ㄓㄥ4", - "ㄧㄥ4" - ], - "浨": [ - "ㄌㄢ3" - ], - "浩": [ - "ㄏㄠ4", - "ㄍㄠ3", - "ㄍㄜ2" - ], - "浪": [ - "ㄌㄤ4", - "ㄌㄤ2" - ], - "浫": [ - "ㄏㄢ3" - ], - "浬": [ - "ㄌㄧ3", - "ㄏㄞ3" - ], - "浭": [ - "ㄍㄥ1" - ], - "浮": [ - "ㄈㄨ2" - ], - "浯": [ - "ㄨ2" - ], - "浰": [ - "ㄌㄧㄢ4", - "ㄌㄧ4" - ], - "浱": [ - "ㄔㄨㄣ2" - ], - "浲": [ - "ㄈㄥ2", - "ㄏㄨㄥ2" - ], - "浳": [ - "ㄧ4" - ], - "浴": [ - "ㄩ4" - ], - "浵": [ - "ㄊㄨㄥ2" - ], - "浶": [ - "ㄌㄠ2" - ], - "海": [ - "ㄏㄞ3" - ], - "浸": [ - "ㄐㄧㄣ4", - "ㄑㄧㄣ1" - ], - "浹": [ - "ㄐㄧㄚ1", - "ㄒㄧㄚ2" - ], - "浺": [ - "ㄔㄨㄥ1" - ], - "浻": [ - "ㄐㄩㄥ3", - "ㄐㄩㄥ1" - ], - "浼": [ - "ㄇㄟ3" - ], - "浽": [ - "ㄙㄨㄟ1", - "ㄋㄟ3" - ], - "浾": [ - "ㄔㄥ1" - ], - "浿": [ - "ㄆㄟ4" - ], - "涀": [ - "ㄒㄧㄢ4", - "ㄐㄧㄢ3" - ], - "涁": [ - "ㄕㄣ4" - ], - "涂": [ - "ㄊㄨ2", - "ㄔㄨ2", - "ㄧㄝ2" - ], - "涃": [ - "ㄎㄨㄣ4" - ], - "涄": [ - "ㄆㄧㄥ1" - ], - "涅": [ - "ㄋㄧㄝ4" - ], - "涆": [ - "ㄏㄢ4" - ], - "涇": [ - "ㄐㄧㄥ1", - "ㄑㄧㄥ3" - ], - "消": [ - "ㄒㄧㄠ1" - ], - "涉": [ - "ㄕㄜ4", - "ㄉㄧㄝ2" - ], - "涊": [ - "ㄋㄧㄢ3", - "ㄖㄣ3" - ], - "涋": [ - "ㄊㄨ1" - ], - "涌": [ - "ㄩㄥ3", - "ㄔㄨㄥ1" - ], - "涍": [ - "ㄒㄧㄠ4" - ], - "涎": [ - "ㄒㄧㄢ2", - "ㄧㄢ4", - "ㄉㄧㄢ4" - ], - "涏": [ - "ㄊㄧㄥ3" - ], - "涐": [ - "ㄜ2" - ], - "涑": [ - "ㄙㄨ4", - "ㄙㄡ1", - "ㄕㄨ4" - ], - "涒": [ - "ㄊㄨㄣ1", - "ㄩㄣ1" - ], - "涓": [ - "ㄐㄩㄢ1", - "ㄩㄢ4", - "ㄒㄩㄢ4" - ], - "涔": [ - "ㄘㄣ2", - "ㄑㄧㄢ2", - "ㄗㄢ4" - ], - "涕": [ - "ㄊㄧ4" - ], - "涖": [ - "ㄌㄧ4" - ], - "涗": [ - "ㄕㄨㄟ4" - ], - "涘": [ - "ㄙ4" - ], - "涙": [ - "ㄌㄟ4" - ], - "涚": [ - "ㄕㄨㄟ4" - ], - "涛": [ - "ㄊㄠ1" - ], - "涜": [ - "ㄉㄨ2" - ], - "涝": [ - "ㄌㄠ4" - ], - "涞": [ - "ㄌㄞ2" - ], - "涟": [ - "ㄌㄧㄢ2" - ], - "涠": [ - "ㄨㄟ2" - ], - "涡": [ - "ㄨㄛ1", - "ㄍㄨㄛ1" - ], - "涢": [ - "ㄩㄣ2" - ], - "涣": [ - "ㄏㄨㄢ4", - "ㄏㄨㄟ4" - ], - "涤": [ - "ㄉㄧ2" - ], - "涥": [ - "ㄏㄥ1" - ], - "润": [ - "ㄖㄨㄣ4" - ], - "涧": [ - "ㄐㄧㄢ4" - ], - "涨": [ - "ㄓㄤ3", - "ㄓㄤ4" - ], - "涩": [ - "ㄙㄜ4" - ], - "涪": [ - "ㄈㄨ2", - "ㄆㄡ2" - ], - "涫": [ - "ㄍㄨㄢ4" - ], - "涬": [ - "ㄒㄧㄥ4" - ], - "涭": [ - "ㄕㄡ4", - "ㄊㄠ1" - ], - "涮": [ - "ㄕㄨㄢ4", - "ㄕㄨㄚ1" - ], - "涯": [ - "ㄧㄚ2" - ], - "涰": [ - "ㄔㄨㄛ4" - ], - "涱": [ - "ㄓㄤ4" - ], - "液": [ - "ㄧㄝ4", - "ㄕ4" - ], - "涳": [ - "ㄎㄨㄥ1", - "ㄋㄤ2" - ], - "涴": [ - "ㄨㄛ4", - "ㄩㄢ1", - "ㄨㄢ3" - ], - "涵": [ - "ㄏㄢ2", - "ㄏㄢ4" - ], - "涶": [ - "ㄊㄨㄛ1", - "ㄊㄨㄛ4" - ], - "涷": [ - "ㄉㄨㄥ1" - ], - "涸": [ - "ㄏㄜ2" - ], - "涹": [ - "ㄨㄛ1" - ], - "涺": [ - "ㄐㄩ1" - ], - "涻": [ - "ㄕㄜ4" - ], - "涼": [ - "ㄌㄧㄤ2", - "ㄌㄧㄤ4" - ], - "涽": [ - "ㄏㄨㄣ1", - "ㄏㄨㄣ4" - ], - "涾": [ - "ㄊㄚ4" - ], - "涿": [ - "ㄓㄨㄛ1", - "ㄓㄨㄛ2" - ], - "淀": [ - "ㄉㄧㄢ4" - ], - "淁": [ - "ㄑㄧㄝ4", - "ㄐㄧ2" - ], - "淂": [ - "ㄉㄜ2" - ], - "淃": [ - "ㄐㄩㄢ4" - ], - "淄": [ - "ㄗ1" - ], - "淅": [ - "ㄒㄧ1" - ], - "淆": [ - "ㄒㄧㄠ2" - ], - "淇": [ - "ㄑㄧ2" - ], - "淈": [ - "ㄍㄨ3", - "ㄏㄨ4" - ], - "淉": [ - "ㄍㄨㄛ3", - "ㄍㄨㄢ4" - ], - "淊": [ - "ㄧㄢ1", - "ㄏㄢ4", - "ㄧㄢ3", - "ㄏㄢ2" - ], - "淋": [ - "ㄌㄧㄣ2", - "ㄌㄧㄣ4" - ], - "淌": [ - "ㄊㄤ3", - "ㄔㄤ4", - "ㄔㄤ3" - ], - "淍": [ - "ㄓㄡ1", - "ㄉㄧㄠ1" - ], - "淎": [ - "ㄆㄥ3" - ], - "淏": [ - "ㄏㄠ4" - ], - "淐": [ - "ㄔㄤ1" - ], - "淑": [ - "ㄕㄨ1", - "ㄔㄨ4" - ], - "淒": [ - "ㄑㄧ1", - "ㄑㄧㄢ4" - ], - "淓": [ - "ㄈㄤ1" - ], - "淔": [ - "ㄓ2" - ], - "淕": [ - "ㄌㄨ4" - ], - "淖": [ - "ㄋㄠ4", - "ㄓㄠ4", - "ㄓㄨㄛ1", - "ㄔㄨㄛ4" - ], - "淗": [ - "ㄐㄩ2" - ], - "淘": [ - "ㄊㄠ2" - ], - "淙": [ - "ㄘㄨㄥ2", - "ㄕㄨㄤ4" - ], - "淚": [ - "ㄌㄟ4", - "ㄌㄧ4" - ], - "淛": [ - "ㄓㄜ4" - ], - "淜": [ - "ㄆㄧㄥ2", - "ㄆㄥ2" - ], - "淝": [ - "ㄈㄟ2" - ], - "淞": [ - "ㄙㄨㄥ1" - ], - "淟": [ - "ㄊㄧㄢ3" - ], - "淠": [ - "ㄆㄧ4", - "ㄆㄟ4" - ], - "淡": [ - "ㄉㄢ4", - "ㄧㄢ4", - "ㄊㄢ2" - ], - "淢": [ - "ㄩ4", - "ㄒㄩ4" - ], - "淣": [ - "ㄋㄧ2" - ], - "淤": [ - "ㄩ1" - ], - "淥": [ - "ㄌㄨ4" - ], - "淦": [ - "ㄍㄢ4", - "ㄏㄢ2" - ], - "淧": [ - "ㄇㄧ4" - ], - "淨": [ - "ㄐㄧㄥ4", - "ㄔㄥ2" - ], - "淩": [ - "ㄌㄧㄥ2" - ], - "淪": [ - "ㄌㄨㄣ2", - "ㄌㄨㄣ3", - "ㄍㄨㄢ1" - ], - "淫": [ - "ㄧㄣ2", - "ㄧㄢ4", - "ㄧㄠ2" - ], - "淬": [ - "ㄘㄨㄟ4", - "ㄗㄨ2" - ], - "淭": [ - "ㄑㄩ2" - ], - "淮": [ - "ㄏㄨㄞ2" - ], - "淯": [ - "ㄩ4" - ], - "淰": [ - "ㄋㄧㄢ3", - "ㄕㄣ3", - "ㄋㄚ4" - ], - "深": [ - "ㄕㄣ1" - ], - "淲": [ - "ㄅㄧㄠ1", - "ㄏㄨ1", - "ㄏㄨ3" - ], - "淳": [ - "ㄔㄨㄣ2", - "ㄓㄨㄣ1", - "ㄓㄨㄣ3" - ], - "淴": [ - "ㄏㄨ1" - ], - "淵": [ - "ㄩㄢ1" - ], - "淶": [ - "ㄌㄞ2" - ], - "混": [ - "ㄏㄨㄣ4", - "ㄍㄨㄣ3", - "ㄏㄨㄣ2", - "ㄎㄨㄣ1" - ], - "淸": [ - "ㄑㄧㄥ1" - ], - "淹": [ - "ㄧㄢ1", - "ㄧㄢ3" - ], - "淺": [ - "ㄑㄧㄢ3", - "ㄐㄧㄢ1", - "ㄐㄧㄢ4", - "ㄘㄢ2", - "ㄗㄢ4" - ], - "添": [ - "ㄊㄧㄢ1", - "ㄊㄧㄢ4" - ], - "淼": [ - "ㄇㄧㄠ3" - ], - "淽": [ - "ㄓ3" - ], - "淾": [ - "ㄧㄣ3" - ], - "淿": [ - "ㄅㄛ2" - ], - "渀": [ - "ㄅㄣ4", - "ㄅㄣ1" - ], - "渁": [ - "ㄩㄢ1" - ], - "渂": [ - "ㄨㄣ4", - "ㄇㄧㄣ2" - ], - "渃": [ - "ㄖㄨㄛ4", - "ㄖㄜ4" - ], - "渄": [ - "ㄈㄟ1" - ], - "清": [ - "ㄑㄧㄥ1", - "ㄑㄧㄥ4" - ], - "渆": [ - "ㄩㄢ1" - ], - "渇": [ - "ㄎㄜ3" - ], - "済": [ - "ㄐㄧ4" - ], - "渉": [ - "ㄕㄜ4" - ], - "渊": [ - "ㄩㄢ1" - ], - "渋": [ - "ㄙㄜ4" - ], - "渌": [ - "ㄌㄨ4" - ], - "渍": [ - "ㄗ4" - ], - "渎": [ - "ㄉㄨ2" - ], - "渏": [ - "ㄧ1" - ], - "渐": [ - "ㄐㄧㄢ4", - "ㄐㄧㄢ1" - ], - "渑": [ - "ㄇㄧㄢ3", - "ㄕㄥ2" - ], - "渒": [ - "ㄆㄞ4" - ], - "渓": [ - "ㄒㄧ1" - ], - "渔": [ - "ㄩ2" - ], - "渕": [ - "ㄩㄢ1" - ], - "渖": [ - "ㄕㄣ3" - ], - "渗": [ - "ㄕㄣ4" - ], - "渘": [ - "ㄖㄡ2" - ], - "渙": [ - "ㄏㄨㄢ4" - ], - "渚": [ - "ㄓㄨ3" - ], - "減": [ - "ㄐㄧㄢ3" - ], - "渜": [ - "ㄋㄨㄢ3", - "ㄋㄨㄢ2" - ], - "渝": [ - "ㄩ2", - "ㄩ1" - ], - "渞": [ - "ㄑㄧㄡ2", - "ㄨ4" - ], - "渟": [ - "ㄊㄧㄥ2", - "ㄊㄧㄥ1" - ], - "渠": [ - "ㄑㄩ2", - "ㄐㄩ4" - ], - "渡": [ - "ㄉㄨ4" - ], - "渢": [ - "ㄈㄢ2", - "ㄈㄥ2" - ], - "渣": [ - "ㄓㄚ1" - ], - "渤": [ - "ㄅㄛ2" - ], - "渥": [ - "ㄨㄛ4", - "ㄡ4", - "ㄨ1" - ], - "渦": [ - "ㄨㄛ1", - "ㄍㄨㄛ1" - ], - "渧": [ - "ㄉㄧ4", - "ㄊㄧ2", - "ㄉㄧ1" - ], - "渨": [ - "ㄨㄟ1" - ], - "温": [ - "ㄨㄣ1", - "ㄩㄣ4" - ], - "渪": [ - "ㄖㄨ2" - ], - "渫": [ - "ㄒㄧㄝ4", - "ㄉㄧㄝ2", - "ㄓㄚ2", - "ㄧ4", - "ㄑㄧㄝ4" - ], - "測": [ - "ㄘㄜ4" - ], - "渭": [ - "ㄨㄟ4" - ], - "渮": [ - "ㄏㄜ2" - ], - "港": [ - "ㄍㄤ3", - "ㄏㄨㄥ4" - ], - "渰": [ - "ㄧㄢ3" - ], - "渱": [ - "ㄏㄨㄥ2", - "ㄍㄨㄥ4" - ], - "渲": [ - "ㄒㄩㄢ4" - ], - "渳": [ - "ㄇㄧ3" - ], - "渴": [ - "ㄎㄜ3", - "ㄐㄧㄝ2", - "ㄎㄞ4", - "ㄏㄜ2" - ], - "渵": [ - "ㄇㄠ2" - ], - "渶": [ - "ㄧㄥ1" - ], - "渷": [ - "ㄧㄢ3" - ], - "游": [ - "ㄧㄡ2", - "ㄌㄧㄡ2" - ], - "渹": [ - "ㄏㄨㄥ1", - "ㄑㄧㄥ4" - ], - "渺": [ - "ㄇㄧㄠ3" - ], - "渻": [ - "ㄕㄥ3" - ], - "渼": [ - "ㄇㄟ3" - ], - "渽": [ - "ㄗㄞ1" - ], - "渾": [ - "ㄏㄨㄣ2", - "ㄏㄨㄣ4", - "ㄍㄨㄣ3" - ], - "渿": [ - "ㄋㄞ4" - ], - "湀": [ - "ㄍㄨㄟ3" - ], - "湁": [ - "ㄔ4" - ], - "湂": [ - "ㄜ4" - ], - "湃": [ - "ㄆㄞ4", - "ㄅㄚ2" - ], - "湄": [ - "ㄇㄟ2" - ], - "湅": [ - "ㄌㄧㄢ4", - "ㄌㄢ4" - ], - "湆": [ - "ㄑㄧ4" - ], - "湇": [ - "ㄑㄧ4" - ], - "湈": [ - "ㄇㄟ2" - ], - "湉": [ - "ㄊㄧㄢ2" - ], - "湊": [ - "ㄘㄡ4" - ], - "湋": [ - "ㄨㄟ2" - ], - "湌": [ - "ㄘㄢ1" - ], - "湍": [ - "ㄊㄨㄢ1", - "ㄓㄨㄢ1" - ], - "湎": [ - "ㄇㄧㄢ3" - ], - "湏": [ - "ㄏㄨㄟ4", - "ㄇㄧㄣ3" - ], - "湐": [ - "ㄇㄛ4" - ], - "湑": [ - "ㄒㄩ1", - "ㄒㄩ4", - "ㄒㄩ3" - ], - "湒": [ - "ㄐㄧ2" - ], - "湓": [ - "ㄆㄣ2", - "ㄆㄣ4" - ], - "湔": [ - "ㄐㄧㄢ1", - "ㄗㄢ4", - "ㄓㄢ3", - "ㄑㄧㄢ2", - "ㄐㄧㄢ4" - ], - "湕": [ - "ㄐㄧㄢ3" - ], - "湖": [ - "ㄏㄨ2" - ], - "湗": [ - "ㄈㄥ4" - ], - "湘": [ - "ㄒㄧㄤ1" - ], - "湙": [ - "ㄧ4" - ], - "湚": [ - "ㄧㄣ4" - ], - "湛": [ - "ㄓㄢ4", - "ㄔㄣ2", - "ㄉㄢ1", - "ㄊㄢ2", - "ㄐㄧㄣ4", - "ㄧㄣ3", - "ㄔㄣ3", - "ㄧㄣ2", - "ㄕㄣ4" - ], - "湜": [ - "ㄕ2" - ], - "湝": [ - "ㄐㄧㄝ1", - "ㄒㄧㄝ2" - ], - "湞": [ - "ㄓㄣ1", - "ㄔㄥ1" - ], - "湟": [ - "ㄏㄨㄤ2", - "ㄎㄨㄤ4" - ], - "湠": [ - "ㄊㄢ4" - ], - "湡": [ - "ㄩ2" - ], - "湢": [ - "ㄅㄧ4" - ], - "湣": [ - "ㄇㄧㄣ3", - "ㄏㄨㄣ1", - "ㄇㄧㄢ4" - ], - "湤": [ - "ㄕ1" - ], - "湥": [ - "ㄊㄨ1" - ], - "湦": [ - "ㄕㄥ1" - ], - "湧": [ - "ㄩㄥ3" - ], - "湨": [ - "ㄐㄩ2" - ], - "湩": [ - "ㄉㄨㄥ4", - "ㄉㄨㄥ3", - "ㄊㄨㄥ2" - ], - "湪": [ - "ㄊㄨㄢ4", - "ㄋㄨㄢ3" - ], - "湫": [ - "ㄐㄧㄠ3", - "ㄑㄧㄡ1", - "ㄐㄧㄡ4", - "ㄐㄧㄡ1", - "ㄐㄧㄠ1" - ], - "湬": [ - "ㄐㄧㄠ3" - ], - "湭": [ - "ㄑㄧㄡ2" - ], - "湮": [ - "ㄧㄢ1", - "ㄧㄣ1" - ], - "湯": [ - "ㄊㄤ1", - "ㄊㄤ4", - "ㄕㄤ1", - "ㄧㄤ2" - ], - "湰": [ - "ㄌㄨㄥ2" - ], - "湱": [ - "ㄏㄨㄛ4" - ], - "湲": [ - "ㄩㄢ2" - ], - "湳": [ - "ㄋㄢ3" - ], - "湴": [ - "ㄅㄢ4", - "ㄆㄢ2" - ], - "湵": [ - "ㄧㄡ3" - ], - "湶": [ - "ㄑㄩㄢ2" - ], - "湷": [ - "ㄓㄨㄤ1", - "ㄏㄨㄣ2" - ], - "湸": [ - "ㄌㄧㄤ4" - ], - "湹": [ - "ㄔㄢ2" - ], - "湺": [ - "ㄒㄧㄢ2" - ], - "湻": [ - "ㄔㄨㄣ2" - ], - "湼": [ - "ㄋㄧㄝ4" - ], - "湽": [ - "ㄗ1" - ], - "湾": [ - "ㄨㄢ1" - ], - "湿": [ - "ㄕ1" - ], - "満": [ - "ㄇㄢ3" - ], - "溁": [ - "ㄧㄥ2" - ], - "溂": [ - "ㄌㄚ4" - ], - "溃": [ - "ㄎㄨㄟ4", - "ㄏㄨㄟ4" - ], - "溄": [ - "ㄈㄥ2" - ], - "溅": [ - "ㄐㄧㄢ4", - "ㄐㄧㄢ1" - ], - "溆": [ - "ㄒㄩ4" - ], - "溇": [ - "ㄌㄡ2" - ], - "溈": [ - "ㄨㄟ2" - ], - "溉": [ - "ㄍㄞ4", - "ㄒㄧㄝ4" - ], - "溊": [ - "ㄅㄛ1" - ], - "溋": [ - "ㄧㄥ2" - ], - "溌": [ - "ㄆㄛ1" - ], - "溍": [ - "ㄐㄧㄣ4" - ], - "溎": [ - "ㄧㄢ4", - "ㄍㄨㄟ4" - ], - "溏": [ - "ㄊㄤ2" - ], - "源": [ - "ㄩㄢ2" - ], - "溑": [ - "ㄙㄨㄛ3" - ], - "溒": [ - "ㄩㄢ2" - ], - "溓": [ - "ㄌㄧㄢ2", - "ㄌㄧㄢ3", - "ㄒㄧㄢ2", - "ㄒㄧㄢ4", - "ㄋㄧㄢ2", - "ㄌㄧㄣ2" - ], - "溔": [ - "ㄧㄠ3" - ], - "溕": [ - "ㄇㄥ2" - ], - "準": [ - "ㄓㄨㄣ3", - "ㄓㄨㄛ2" - ], - "溗": [ - "ㄔㄥ2" - ], - "溘": [ - "ㄎㄜ4", - "ㄎㄞ4" - ], - "溙": [ - "ㄊㄞ4" - ], - "溚": [ - "ㄊㄚ3", - "ㄉㄚ2" - ], - "溛": [ - "ㄨㄚ1" - ], - "溜": [ - "ㄌㄧㄡ1", - "ㄌㄧㄡ4", - "ㄌㄧㄡ2" - ], - "溝": [ - "ㄍㄡ1", - "ㄍㄤ3", - "ㄎㄡ4" - ], - "溞": [ - "ㄙㄠ1" - ], - "溟": [ - "ㄇㄧㄥ2", - "ㄇㄧㄥ3", - "ㄇㄧ4" - ], - "溠": [ - "ㄓㄚ4", - "ㄓㄚ1" - ], - "溡": [ - "ㄕ2" - ], - "溢": [ - "ㄧ4" - ], - "溣": [ - "ㄌㄨㄣ4" - ], - "溤": [ - "ㄇㄚ3" - ], - "溥": [ - "ㄆㄨ3", - "ㄈㄨ1", - "ㄅㄨ4", - "ㄅㄛ2", - "ㄆㄛ4" - ], - "溦": [ - "ㄨㄟ1", - "ㄇㄟ2" - ], - "溧": [ - "ㄌㄧ4" - ], - "溨": [ - "ㄗㄞ1" - ], - "溩": [ - "ㄨ4" - ], - "溪": [ - "ㄒㄧ1", - "ㄑㄧ1" - ], - "溫": [ - "ㄨㄣ1" - ], - "溬": [ - "ㄑㄧㄤ1" - ], - "溭": [ - "ㄗㄜ2" - ], - "溮": [ - "ㄕ1" - ], - "溯": [ - "ㄙㄨ4", - "ㄕㄨㄛ4" - ], - "溰": [ - "ㄞ2" - ], - "溱": [ - "ㄑㄧㄣ2", - "ㄓㄣ1" - ], - "溲": [ - "ㄙㄡ1", - "ㄙㄡ3", - "ㄕㄠ1" - ], - "溳": [ - "ㄩㄣ2", - "ㄩㄣ3" - ], - "溴": [ - "ㄒㄧㄡ4", - "ㄔㄡ4" - ], - "溵": [ - "ㄧㄣ1" - ], - "溶": [ - "ㄖㄨㄥ2" - ], - "溷": [ - "ㄏㄨㄣ4", - "ㄏㄨㄣ2" - ], - "溸": [ - "ㄙㄨ4" - ], - "溹": [ - "ㄙㄨㄛ4", - "ㄙㄨㄛ3", - "ㄙㄜ4" - ], - "溺": [ - "ㄋㄧ4", - "ㄖㄨㄛ4", - "ㄋㄧㄠ4" - ], - "溻": [ - "ㄊㄚ1" - ], - "溼": [ - "ㄕ1" - ], - "溽": [ - "ㄖㄨ4", - "ㄖㄨ2" - ], - "溾": [ - "ㄞ1" - ], - "溿": [ - "ㄆㄢ4" - ], - "滀": [ - "ㄔㄨ4", - "ㄒㄩ4" - ], - "滁": [ - "ㄔㄨ2" - ], - "滂": [ - "ㄆㄤ1", - "ㄆㄥ1" - ], - "滃": [ - "ㄨㄥ1", - "ㄨㄥ3" - ], - "滄": [ - "ㄘㄤ1" - ], - "滅": [ - "ㄇㄧㄝ4" - ], - "滆": [ - "ㄍㄜ2" - ], - "滇": [ - "ㄉㄧㄢ1", - "ㄊㄧㄢ2", - "ㄓㄣ1" - ], - "滈": [ - "ㄏㄠ4", - "ㄒㄩㄝ4" - ], - "滉": [ - "ㄏㄨㄤ4" - ], - "滊": [ - "ㄒㄧ4", - "ㄒㄧㄝ1", - "ㄑㄧ4" - ], - "滋": [ - "ㄗ1", - "ㄘ2", - "ㄒㄩㄢ2" - ], - "滌": [ - "ㄉㄧ2" - ], - "滍": [ - "ㄓ4" - ], - "滎": [ - "ㄒㄧㄥ2", - "ㄧㄥ1", - "ㄧㄥ2" - ], - "滏": [ - "ㄈㄨ3" - ], - "滐": [ - "ㄐㄧㄝ2" - ], - "滑": [ - "ㄏㄨㄚ2", - "ㄍㄨ3" - ], - "滒": [ - "ㄍㄜ1" - ], - "滓": [ - "ㄗ3" - ], - "滔": [ - "ㄊㄠ1" - ], - "滕": [ - "ㄊㄥ2" - ], - "滖": [ - "ㄙㄨㄟ1" - ], - "滗": [ - "ㄅㄧ4" - ], - "滘": [ - "ㄐㄧㄠ4" - ], - "滙": [ - "ㄏㄨㄟ4" - ], - "滚": [ - "ㄍㄨㄣ3" - ], - "滛": [ - "ㄧㄣ2" - ], - "滜": [ - "ㄍㄠ1" - ], - "滝": [ - "ㄌㄨㄥ2" - ], - "滞": [ - "ㄓ4" - ], - "滟": [ - "ㄧㄢ4" - ], - "滠": [ - "ㄕㄜ4" - ], - "满": [ - "ㄇㄢ3" - ], - "滢": [ - "ㄧㄥ2" - ], - "滣": [ - "ㄔㄨㄣ2" - ], - "滤": [ - "ㄌㄩ4" - ], - "滥": [ - "ㄌㄢ4" - ], - "滦": [ - "ㄌㄨㄢ2" - ], - "滧": [ - "ㄧㄠ2", - "ㄒㄧㄠ4" - ], - "滨": [ - "ㄅㄧㄣ1" - ], - "滩": [ - "ㄊㄢ1" - ], - "滪": [ - "ㄩ4" - ], - "滫": [ - "ㄒㄧㄡ3" - ], - "滬": [ - "ㄏㄨ4" - ], - "滭": [ - "ㄅㄧ4" - ], - "滮": [ - "ㄅㄧㄠ1" - ], - "滯": [ - "ㄓ4", - "ㄔ4" - ], - "滰": [ - "ㄐㄧㄤ4" - ], - "滱": [ - "ㄎㄡ4" - ], - "滲": [ - "ㄕㄣ4", - "ㄙㄣ1", - "ㄑㄧㄣ1", - "ㄌㄧㄣ2" - ], - "滳": [ - "ㄕㄤ1" - ], - "滴": [ - "ㄉㄧ1" - ], - "滵": [ - "ㄇㄧ4" - ], - "滶": [ - "ㄠ2" - ], - "滷": [ - "ㄌㄨ3" - ], - "滸": [ - "ㄏㄨ3", - "ㄒㄩ3" - ], - "滹": [ - "ㄏㄨ1", - "ㄏㄨ3" - ], - "滺": [ - "ㄧㄡ1" - ], - "滻": [ - "ㄔㄢ3" - ], - "滼": [ - "ㄈㄢ4" - ], - "滽": [ - "ㄩㄥ1" - ], - "滾": [ - "ㄍㄨㄣ3" - ], - "滿": [ - "ㄇㄢ3", - "ㄇㄣ4" - ], - "漀": [ - "ㄑㄧㄥ3", - "ㄑㄧㄥ1" - ], - "漁": [ - "ㄩ2" - ], - "漂": [ - "ㄆㄧㄠ1", - "ㄆㄧㄠ4", - "ㄆㄧㄠ3", - "ㄅㄧㄠ1" - ], - "漃": [ - "ㄐㄧ4" - ], - "漄": [ - "ㄧㄚ2" - ], - "漅": [ - "ㄔㄠ2" - ], - "漆": [ - "ㄑㄧ1", - "ㄑㄧㄝ4" - ], - "漇": [ - "ㄒㄧ3" - ], - "漈": [ - "ㄐㄧ4" - ], - "漉": [ - "ㄌㄨ4" - ], - "漊": [ - "ㄌㄡ2", - "ㄌㄩ3", - "ㄌㄡ3" - ], - "漋": [ - "ㄌㄨㄥ2" - ], - "漌": [ - "ㄐㄧㄣ3" - ], - "漍": [ - "ㄍㄨㄛ2" - ], - "漎": [ - "ㄘㄨㄥ2", - "ㄙㄨㄥ3" - ], - "漏": [ - "ㄌㄡ4", - "ㄌㄡ2" - ], - "漐": [ - "ㄓ2" - ], - "漑": [ - "ㄍㄞ4" - ], - "漒": [ - "ㄑㄧㄤ2" - ], - "漓": [ - "ㄌㄧ2" - ], - "演": [ - "ㄧㄢ3", - "ㄧㄢ4" - ], - "漕": [ - "ㄘㄠ2", - "ㄘㄠ4" - ], - "漖": [ - "ㄐㄧㄠ4" - ], - "漗": [ - "ㄘㄨㄥ1" - ], - "漘": [ - "ㄔㄨㄣ2" - ], - "漙": [ - "ㄊㄨㄢ2", - "ㄓㄨㄢ1" - ], - "漚": [ - "ㄡ1", - "ㄡ4" - ], - "漛": [ - "ㄊㄥ2" - ], - "漜": [ - "ㄧㄝ3" - ], - "漝": [ - "ㄒㄧ2" - ], - "漞": [ - "ㄇㄧ4" - ], - "漟": [ - "ㄊㄤ2" - ], - "漠": [ - "ㄇㄛ4" - ], - "漡": [ - "ㄕㄤ1", - "ㄊㄤ4" - ], - "漢": [ - "ㄏㄢ4", - "ㄊㄢ1" - ], - "漣": [ - "ㄌㄧㄢ2", - "ㄌㄢ2" - ], - "漤": [ - "ㄌㄢ3" - ], - "漥": [ - "ㄨㄚ1" - ], - "漦": [ - "ㄔ2", - "ㄊㄞ1" - ], - "漧": [ - "ㄍㄢ1" - ], - "漨": [ - "ㄈㄥ2", - "ㄆㄥ2", - "ㄅㄥ3" - ], - "漩": [ - "ㄒㄩㄢ2" - ], - "漪": [ - "ㄧ1" - ], - "漫": [ - "ㄇㄢ4" - ], - "漬": [ - "ㄗ4", - "ㄙㄜ4", - "ㄑㄧ4" - ], - "漭": [ - "ㄇㄤ3" - ], - "漮": [ - "ㄎㄤ1" - ], - "漯": [ - "ㄌㄨㄛ4", - "ㄊㄚ4", - "ㄌㄟ3" - ], - "漰": [ - "ㄆㄥ1" - ], - "漱": [ - "ㄕㄨ4" - ], - "漲": [ - "ㄓㄤ3", - "ㄓㄤ4", - "ㄓㄤ1" - ], - "漳": [ - "ㄓㄤ1" - ], - "漴": [ - "ㄓㄨㄤ4", - "ㄔㄨㄥ2", - "ㄕㄨㄤ1", - "ㄔㄨㄤ2" - ], - "漵": [ - "ㄒㄩ4" - ], - "漶": [ - "ㄏㄨㄢ4" - ], - "漷": [ - "ㄏㄨㄛ3", - "ㄎㄨㄛ4", - "ㄏㄨㄛ4" - ], - "漸": [ - "ㄐㄧㄢ4", - "ㄐㄧㄢ1", - "ㄑㄧㄢ2", - "ㄔㄢ2" - ], - "漹": [ - "ㄧㄢ1" - ], - "漺": [ - "ㄕㄨㄤ3", - "ㄔㄨㄤ3" - ], - "漻": [ - "ㄌㄧㄠ2", - "ㄒㄧㄠ4", - "ㄌㄧㄡ2" - ], - "漼": [ - "ㄘㄨㄟ3", - "ㄘㄨㄟ1" - ], - "漽": [ - "ㄊㄧ2" - ], - "漾": [ - "ㄧㄤ4" - ], - "漿": [ - "ㄐㄧㄤ1", - "ㄐㄧㄤ4" - ], - "潀": [ - "ㄘㄨㄥ2" - ], - "潁": [ - "ㄧㄥ3" - ], - "潂": [ - "ㄏㄨㄥ2" - ], - "潃": [ - "ㄒㄧㄡ3" - ], - "潄": [ - "ㄕㄨ4" - ], - "潅": [ - "ㄍㄨㄢ4" - ], - "潆": [ - "ㄧㄥ2" - ], - "潇": [ - "ㄒㄧㄠ1" - ], - "潈": [ - "ㄗㄨㄥ5" - ], - "潉": [ - "ㄎㄨㄣ1" - ], - "潊": [ - "ㄒㄩ4" - ], - "潋": [ - "ㄌㄧㄢ4" - ], - "潌": [ - "ㄓ4" - ], - "潍": [ - "ㄨㄟ2" - ], - "潎": [ - "ㄆㄧ4", - "ㄆㄧㄝ1", - "ㄆㄧㄠ4" - ], - "潏": [ - "ㄩ4", - "ㄐㄩㄝ2", - "ㄕㄨ4" - ], - "潐": [ - "ㄐㄧㄠ4", - "ㄐㄧㄠ3", - "ㄑㄧㄠ2" - ], - "潑": [ - "ㄆㄛ1", - "ㄅㄛ1" - ], - "潒": [ - "ㄉㄤ4", - "ㄒㄧㄤ4", - "ㄧㄤ3" - ], - "潓": [ - "ㄏㄨㄟ4" - ], - "潔": [ - "ㄐㄧㄝ2" - ], - "潕": [ - "ㄨ3" - ], - "潖": [ - "ㄆㄚ2" - ], - "潗": [ - "ㄐㄧ2" - ], - "潘": [ - "ㄆㄢ1", - "ㄆㄢ4", - "ㄅㄛ1", - "ㄆㄢ2", - "ㄈㄢ1" - ], - "潙": [ - "ㄨㄟ2", - "ㄍㄨㄟ1" - ], - "潚": [ - "ㄙㄨ4", - "ㄒㄧㄠ1", - "ㄙㄡ1" - ], - "潛": [ - "ㄑㄧㄢ2" - ], - "潜": [ - "ㄑㄧㄢ2" - ], - "潝": [ - "ㄒㄧ1", - "ㄧㄚ4" - ], - "潞": [ - "ㄌㄨ4" - ], - "潟": [ - "ㄒㄧ4" - ], - "潠": [ - "ㄒㄩㄣ4", - "ㄙㄨㄣ4" - ], - "潡": [ - "ㄉㄨㄣ4" - ], - "潢": [ - "ㄏㄨㄤ2", - "ㄏㄨㄤ4", - "ㄍㄨㄤ1" - ], - "潣": [ - "ㄇㄧㄣ3" - ], - "潤": [ - "ㄖㄨㄣ4" - ], - "潥": [ - "ㄙㄨ4" - ], - "潦": [ - "ㄌㄠ3", - "ㄌㄧㄠ2", - "ㄌㄠ4", - "ㄌㄠ2", - "ㄌㄧㄠ3" - ], - "潧": [ - "ㄓㄣ1" - ], - "潨": [ - "ㄘㄨㄥ2", - "ㄗㄨㄥ1" - ], - "潩": [ - "ㄧ4" - ], - "潪": [ - "ㄓㄜ4", - "ㄓ4" - ], - "潫": [ - "ㄨㄢ1" - ], - "潬": [ - "ㄕㄢ4", - "ㄊㄢ1" - ], - "潭": [ - "ㄊㄢ2", - "ㄒㄩㄣ2", - "ㄧㄣ3", - "ㄉㄢ4" - ], - "潮": [ - "ㄔㄠ2" - ], - "潯": [ - "ㄒㄩㄣ2", - "ㄧㄣ2" - ], - "潰": [ - "ㄎㄨㄟ4", - "ㄒㄧㄝ4" - ], - "潱": [ - "ㄧㄝ1" - ], - "潲": [ - "ㄕㄠ4" - ], - "潳": [ - "ㄊㄨ2", - "ㄓㄚ1" - ], - "潴": [ - "ㄓㄨ1" - ], - "潵": [ - "ㄙㄚ3", - "ㄙㄢ4" - ], - "潶": [ - "ㄏㄟ1" - ], - "潷": [ - "ㄅㄧ4" - ], - "潸": [ - "ㄕㄢ1" - ], - "潹": [ - "ㄔㄢ2" - ], - "潺": [ - "ㄔㄢ2" - ], - "潻": [ - "ㄕㄨ3" - ], - "潼": [ - "ㄊㄨㄥ2", - "ㄔㄨㄥ1", - "ㄓㄨㄥ1" - ], - "潽": [ - "ㄆㄨ1", - "ㄆㄨ3" - ], - "潾": [ - "ㄌㄧㄣ2" - ], - "潿": [ - "ㄨㄟ2" - ], - "澀": [ - "ㄙㄜ4" - ], - "澁": [ - "ㄙㄜ4" - ], - "澂": [ - "ㄔㄥ2" - ], - "澃": [ - "ㄐㄩㄥ3" - ], - "澄": [ - "ㄔㄥ2", - "ㄉㄥ4" - ], - "澅": [ - "ㄏㄨㄚ4" - ], - "澆": [ - "ㄐㄧㄠ1", - "ㄠ4", - "ㄋㄠ4" - ], - "澇": [ - "ㄌㄠ4", - "ㄌㄠ2" - ], - "澈": [ - "ㄔㄜ4" - ], - "澉": [ - "ㄍㄢ3", - "ㄏㄢ4" - ], - "澊": [ - "ㄘㄨㄣ1", - "ㄘㄨㄣ2" - ], - "澋": [ - "ㄏㄨㄥ4" - ], - "澌": [ - "ㄙ1" - ], - "澍": [ - "ㄕㄨ4", - "ㄓㄨ4" - ], - "澎": [ - "ㄆㄥ1", - "ㄆㄥ2" - ], - "澏": [ - "ㄏㄢ2" - ], - "澐": [ - "ㄩㄣ2" - ], - "澑": [ - "ㄌㄧㄡ4" - ], - "澒": [ - "ㄏㄨㄥ4" - ], - "澓": [ - "ㄈㄨ2" - ], - "澔": [ - "ㄏㄠ4" - ], - "澕": [ - "ㄏㄜ2" - ], - "澖": [ - "ㄒㄧㄢ2" - ], - "澗": [ - "ㄐㄧㄢ4" - ], - "澘": [ - "ㄕㄢ1" - ], - "澙": [ - "ㄒㄧ4" - ], - "澚": [ - "ㄩ5" - ], - "澛": [ - "ㄌㄨ3" - ], - "澜": [ - "ㄌㄢ2" - ], - "澝": [ - "ㄋㄧㄥ4" - ], - "澞": [ - "ㄩ2" - ], - "澟": [ - "ㄌㄧㄣ3" - ], - "澠": [ - "ㄇㄧㄢ3", - "ㄕㄥ2" - ], - "澡": [ - "ㄗㄠ3", - "ㄘㄠ1" - ], - "澢": [ - "ㄉㄤ1" - ], - "澣": [ - "ㄏㄨㄢ4", - "ㄏㄢ4" - ], - "澤": [ - "ㄗㄜ2", - "ㄕ4", - "ㄧ4", - "ㄉㄨㄛ2" - ], - "澥": [ - "ㄒㄧㄝ4" - ], - "澦": [ - "ㄩ4" - ], - "澧": [ - "ㄌㄧ3" - ], - "澨": [ - "ㄕ4", - "ㄘㄨㄛ2" - ], - "澩": [ - "ㄒㄩㄝ2", - "ㄒㄧㄠ4" - ], - "澪": [ - "ㄌㄧㄥ2" - ], - "澫": [ - "ㄨㄢ4", - "ㄇㄢ4", - "ㄡ3" - ], - "澬": [ - "ㄗ1", - "ㄘ2" - ], - "澭": [ - "ㄩㄥ1", - "ㄩㄥ3" - ], - "澮": [ - "ㄏㄨㄟ4", - "ㄎㄨㄞ4", - "ㄏㄨㄚ2" - ], - "澯": [ - "ㄘㄢ4" - ], - "澰": [ - "ㄌㄧㄢ4" - ], - "澱": [ - "ㄉㄧㄢ4" - ], - "澲": [ - "ㄧㄝ4" - ], - "澳": [ - "ㄠ4", - "ㄩ4" - ], - "澴": [ - "ㄏㄨㄢ2", - "ㄒㄩㄢ4" - ], - "澵": [ - "ㄓㄣ1" - ], - "澶": [ - "ㄔㄢ2", - "ㄉㄢ4", - "ㄓㄢ1" - ], - "澷": [ - "ㄇㄢ4" - ], - "澸": [ - "ㄉㄢ3" - ], - "澹": [ - "ㄉㄢ4", - "ㄊㄢ2", - "ㄉㄢ1", - "ㄕㄢ4" - ], - "澺": [ - "ㄧ4" - ], - "澻": [ - "ㄙㄨㄟ4" - ], - "澼": [ - "ㄆㄧ4" - ], - "澽": [ - "ㄐㄩ4" - ], - "澾": [ - "ㄊㄚ4" - ], - "澿": [ - "ㄑㄧㄣ2" - ], - "激": [ - "ㄐㄧ1", - "ㄐㄧㄠ4", - "ㄐㄧㄠ1" - ], - "濁": [ - "ㄓㄨㄛ2" - ], - "濂": [ - "ㄌㄧㄢ2", - "ㄒㄧㄢ3" - ], - "濃": [ - "ㄋㄨㄥ2" - ], - "濄": [ - "ㄍㄨㄛ1", - "ㄨㄛ1" - ], - "濅": [ - "ㄐㄧㄣ4" - ], - "濆": [ - "ㄈㄣ2", - "ㄆㄣ1" - ], - "濇": [ - "ㄙㄜ4" - ], - "濈": [ - "ㄐㄧ2", - "ㄕㄚ4" - ], - "濉": [ - "ㄙㄨㄟ1" - ], - "濊": [ - "ㄏㄨㄟ4", - "ㄨㄟ4", - "ㄏㄨㄛ4" - ], - "濋": [ - "ㄔㄨ3" - ], - "濌": [ - "ㄊㄚ4" - ], - "濍": [ - "ㄙㄨㄥ1" - ], - "濎": [ - "ㄉㄧㄥ3", - "ㄊㄧㄥ4" - ], - "濏": [ - "ㄙㄜ4" - ], - "濐": [ - "ㄓㄨ3" - ], - "濑": [ - "ㄌㄞ4" - ], - "濒": [ - "ㄅㄧㄣ1" - ], - "濓": [ - "ㄌㄧㄢ2" - ], - "濔": [ - "ㄇㄧ3", - "ㄇㄧ2", - "ㄋㄧ3" - ], - "濕": [ - "ㄕ1", - "ㄊㄚ4", - "ㄒㄧ2" - ], - "濖": [ - "ㄕㄨ4" - ], - "濗": [ - "ㄇㄧ4" - ], - "濘": [ - "ㄋㄧㄥ4", - "ㄋㄧㄥ2", - "ㄋㄧ4" - ], - "濙": [ - "ㄧㄥ2" - ], - "濚": [ - "ㄧㄥ2" - ], - "濛": [ - "ㄇㄥ2" - ], - "濜": [ - "ㄐㄧㄣ4", - "ㄐㄧㄣ1" - ], - "濝": [ - "ㄑㄧ2" - ], - "濞": [ - "ㄅㄧ4", - "ㄆㄧ4" - ], - "濟": [ - "ㄐㄧ4", - "ㄐㄧ3", - "ㄑㄧ2" - ], - "濠": [ - "ㄏㄠ2" - ], - "濡": [ - "ㄖㄨ2", - "ㄖㄨㄢ3", - "ㄦ2", - "ㄋㄨㄢ2", - "ㄋㄨㄛ4" - ], - "濢": [ - "ㄘㄨㄟ4", - "ㄗㄨㄟ3" - ], - "濣": [ - "ㄨㄛ4" - ], - "濤": [ - "ㄊㄠ1", - "ㄔㄠ2", - "ㄕㄡ4", - "ㄉㄠ4" - ], - "濥": [ - "ㄧㄣ3" - ], - "濦": [ - "ㄧㄣ3" - ], - "濧": [ - "ㄉㄨㄟ4" - ], - "濨": [ - "ㄘ2" - ], - "濩": [ - "ㄏㄨㄛ4", - "ㄏㄨ4" - ], - "濪": [ - "ㄑㄧㄥ4" - ], - "濫": [ - "ㄌㄢ4", - "ㄐㄧㄢ4", - "ㄌㄢ3", - "ㄌㄢ2" - ], - "濬": [ - "ㄐㄩㄣ4", - "ㄒㄩㄣ4" - ], - "濭": [ - "ㄞ3", - "ㄎㄞ4", - "ㄎㄜ4" - ], - "濮": [ - "ㄆㄨ2" - ], - "濯": [ - "ㄓㄨㄛ2", - "ㄕㄨㄛ4", - "ㄓㄠ4" - ], - "濰": [ - "ㄨㄟ2" - ], - "濱": [ - "ㄅㄧㄣ1" - ], - "濲": [ - "ㄍㄨ3" - ], - "濳": [ - "ㄑㄧㄢ2" - ], - "濴": [ - "ㄧㄥ2" - ], - "濵": [ - "ㄅㄧㄣ1" - ], - "濶": [ - "ㄎㄨㄛ4" - ], - "濷": [ - "ㄈㄟ4" - ], - "濸": [ - "ㄘㄤ1" - ], - "濹": [ - "ㄇㄜ5" - ], - "濺": [ - "ㄐㄧㄢ4", - "ㄐㄧㄢ1", - "ㄗㄢ4" - ], - "濻": [ - "ㄨㄟ3" - ], - "濼": [ - "ㄌㄨㄛ4", - "ㄆㄛ1", - "ㄌㄧ4" - ], - "濽": [ - "ㄗㄢ4" - ], - "濾": [ - "ㄌㄩ4" - ], - "濿": [ - "ㄌㄧ4" - ], - "瀀": [ - "ㄧㄡ1" - ], - "瀁": [ - "ㄧㄤ4", - "ㄧㄤ3" - ], - "瀂": [ - "ㄌㄨ3" - ], - "瀃": [ - "ㄙ4" - ], - "瀄": [ - "ㄓ4" - ], - "瀅": [ - "ㄧㄥ2", - "ㄧㄥ4", - "ㄐㄩㄥ1" - ], - "瀆": [ - "ㄉㄨ2", - "ㄉㄡ4" - ], - "瀇": [ - "ㄨㄤ3", - "ㄨㄤ1" - ], - "瀈": [ - "ㄏㄨㄟ1" - ], - "瀉": [ - "ㄒㄧㄝ4" - ], - "瀊": [ - "ㄆㄢ2" - ], - "瀋": [ - "ㄕㄣ3", - "ㄔㄣ4", - "ㄆㄢ2" - ], - "瀌": [ - "ㄅㄧㄠ1" - ], - "瀍": [ - "ㄔㄢ2" - ], - "瀎": [ - "ㄇㄛ4", - "ㄇㄧㄝ4" - ], - "瀏": [ - "ㄌㄧㄡ2", - "ㄌㄧㄡ1" - ], - "瀐": [ - "ㄐㄧㄢ1" - ], - "瀑": [ - "ㄆㄨ4", - "ㄅㄠ4", - "ㄅㄛ2" - ], - "瀒": [ - "ㄙㄜ4" - ], - "瀓": [ - "ㄔㄥ2" - ], - "瀔": [ - "ㄍㄨ3" - ], - "瀕": [ - "ㄅㄧㄣ1" - ], - "瀖": [ - "ㄏㄨㄛ4" - ], - "瀗": [ - "ㄒㄧㄢ4" - ], - "瀘": [ - "ㄌㄨ2" - ], - "瀙": [ - "ㄑㄧㄣ4" - ], - "瀚": [ - "ㄏㄢ4" - ], - "瀛": [ - "ㄧㄥ2" - ], - "瀜": [ - "ㄖㄨㄥ2" - ], - "瀝": [ - "ㄌㄧ4" - ], - "瀞": [ - "ㄐㄧㄥ4" - ], - "瀟": [ - "ㄒㄧㄠ1" - ], - "瀠": [ - "ㄧㄥ2" - ], - "瀡": [ - "ㄙㄨㄟ3" - ], - "瀢": [ - "ㄨㄟ3", - "ㄉㄨㄟ4" - ], - "瀣": [ - "ㄒㄧㄝ4" - ], - "瀤": [ - "ㄏㄨㄞ2", - "ㄨㄞ1" - ], - "瀥": [ - "ㄒㄩㄝ4" - ], - "瀦": [ - "ㄓㄨ1" - ], - "瀧": [ - "ㄌㄨㄥ2", - "ㄕㄨㄤ1" - ], - "瀨": [ - "ㄌㄞ4" - ], - "瀩": [ - "ㄉㄨㄟ4" - ], - "瀪": [ - "ㄈㄢ2" - ], - "瀫": [ - "ㄏㄨ2" - ], - "瀬": [ - "ㄌㄞ4" - ], - "瀭": [ - "ㄕㄨ1" - ], - "瀮": [ - "ㄌㄧㄥ5" - ], - "瀯": [ - "ㄧㄥ2" - ], - "瀰": [ - "ㄇㄧ2", - "ㄇㄧ3", - "ㄋㄧ3" - ], - "瀱": [ - "ㄐㄧ4" - ], - "瀲": [ - "ㄌㄧㄢ4" - ], - "瀳": [ - "ㄐㄧㄢ4", - "ㄗㄨㄣ4" - ], - "瀴": [ - "ㄧㄥ2", - "ㄧㄥ3", - "ㄧㄥ4" - ], - "瀵": [ - "ㄈㄣ4" - ], - "瀶": [ - "ㄌㄧㄣ2" - ], - "瀷": [ - "ㄧ4" - ], - "瀸": [ - "ㄐㄧㄢ1" - ], - "瀹": [ - "ㄩㄝ4", - "ㄧㄠ4" - ], - "瀺": [ - "ㄔㄢ2" - ], - "瀻": [ - "ㄉㄞ4" - ], - "瀼": [ - "ㄖㄤ2", - "ㄖㄤ4", - "ㄋㄤ3" - ], - "瀽": [ - "ㄐㄧㄢ3" - ], - "瀾": [ - "ㄌㄢ2" - ], - "瀿": [ - "ㄈㄢ2" - ], - "灀": [ - "ㄕㄨㄤ4" - ], - "灁": [ - "ㄩㄢ1" - ], - "灂": [ - "ㄓㄨㄛ2", - "ㄗㄜ2", - "ㄐㄧㄠ4" - ], - "灃": [ - "ㄈㄥ1" - ], - "灄": [ - "ㄕㄜ4", - "ㄋㄧ4" - ], - "灅": [ - "ㄌㄟ3" - ], - "灆": [ - "ㄌㄢ2" - ], - "灇": [ - "ㄘㄨㄥ2" - ], - "灈": [ - "ㄑㄩ2" - ], - "灉": [ - "ㄩㄥ1" - ], - "灊": [ - "ㄑㄧㄢ2" - ], - "灋": [ - "ㄈㄚ3" - ], - "灌": [ - "ㄍㄨㄢ4", - "ㄏㄨㄢ4" - ], - "灍": [ - "ㄐㄩㄝ2" - ], - "灎": [ - "ㄧㄢ4" - ], - "灏": [ - "ㄏㄠ4" - ], - "灐": [ - "ㄧㄥ2" - ], - "灑": [ - "ㄙㄚ3", - "ㄒㄧㄢ3", - "ㄒㄧ3", - "ㄌㄧ2", - "ㄕ1" - ], - "灒": [ - "ㄗㄢ4", - "ㄘㄨㄢ2", - "ㄑㄧㄢ2", - "ㄗㄚ1" - ], - "灓": [ - "ㄌㄨㄢ2", - "ㄌㄨㄢ4" - ], - "灔": [ - "ㄧㄢ4" - ], - "灕": [ - "ㄌㄧ2" - ], - "灖": [ - "ㄇㄧ3" - ], - "灗": [ - "ㄕㄢ4" - ], - "灘": [ - "ㄊㄢ1", - "ㄏㄢ4", - "ㄋㄢ4" - ], - "灙": [ - "ㄉㄤ3" - ], - "灚": [ - "ㄐㄧㄠ3" - ], - "灛": [ - "ㄔㄢ3" - ], - "灜": [ - "ㄧㄥ2" - ], - "灝": [ - "ㄏㄠ4" - ], - "灞": [ - "ㄅㄚ4" - ], - "灟": [ - "ㄓㄨ2" - ], - "灠": [ - "ㄌㄢ3", - "ㄌㄢ4" - ], - "灡": [ - "ㄌㄢ2" - ], - "灢": [ - "ㄋㄤ3" - ], - "灣": [ - "ㄨㄢ1" - ], - "灤": [ - "ㄌㄨㄢ2" - ], - "灥": [ - "ㄒㄩㄣ2", - "ㄑㄩㄢ2", - "ㄑㄩㄢ4" - ], - "灦": [ - "ㄒㄧㄢ3" - ], - "灧": [ - "ㄧㄢ4" - ], - "灨": [ - "ㄍㄢ4" - ], - "灩": [ - "ㄧㄢ4" - ], - "灪": [ - "ㄩ4" - ], - "火": [ - "ㄏㄨㄛ3", - "ㄏㄨㄛ1" - ], - "灬": [ - "ㄅㄧㄠ1", - "ㄏㄨㄛ3" - ], - "灭": [ - "ㄇㄧㄝ4" - ], - "灮": [ - "ㄍㄨㄤ1" - ], - "灯": [ - "ㄉㄥ1", - "ㄉㄧㄥ1" - ], - "灰": [ - "ㄏㄨㄟ1" - ], - "灱": [ - "ㄒㄧㄠ1" - ], - "灲": [ - "ㄒㄧㄠ1" - ], - "灳": [ - "ㄏㄨㄟ1" - ], - "灴": [ - "ㄏㄨㄥ1" - ], - "灵": [ - "ㄌㄧㄥ2" - ], - "灶": [ - "ㄗㄠ4" - ], - "灷": [ - "ㄓㄨㄢ4" - ], - "灸": [ - "ㄐㄧㄡ3" - ], - "灹": [ - "ㄓㄚ4", - "ㄩ4" - ], - "灺": [ - "ㄒㄧㄝ4" - ], - "灻": [ - "ㄔ4" - ], - "灼": [ - "ㄓㄨㄛ2" - ], - "災": [ - "ㄗㄞ1" - ], - "灾": [ - "ㄗㄞ1" - ], - "灿": [ - "ㄘㄢ4" - ], - "炀": [ - "ㄧㄤ2" - ], - "炁": [ - "ㄑㄧ4" - ], - "炂": [ - "ㄓㄨㄥ1" - ], - "炃": [ - "ㄈㄣ2", - "ㄅㄣ4" - ], - "炄": [ - "ㄋㄧㄡ3" - ], - "炅": [ - "ㄐㄩㄥ3", - "ㄍㄨㄟ4" - ], - "炆": [ - "ㄨㄣ2" - ], - "炇": [ - "ㄆㄨ1" - ], - "炈": [ - "ㄧ4" - ], - "炉": [ - "ㄌㄨ2" - ], - "炊": [ - "ㄔㄨㄟ1" - ], - "炋": [ - "ㄆㄧ1" - ], - "炌": [ - "ㄎㄞ4" - ], - "炍": [ - "ㄆㄢ4" - ], - "炎": [ - "ㄧㄢ2", - "ㄧㄢ4", - "ㄊㄢ2" - ], - "炏": [ - "ㄎㄞ4", - "ㄧㄢ2" - ], - "炐": [ - "ㄆㄤ4", - "ㄈㄥ1" - ], - "炑": [ - "ㄇㄨ4" - ], - "炒": [ - "ㄔㄠ3" - ], - "炓": [ - "ㄌㄧㄠ4" - ], - "炔": [ - "ㄍㄨㄟ4", - "ㄑㄩㄝ1", - "ㄒㄩㄝ4" - ], - "炕": [ - "ㄎㄤ4", - "ㄏㄤ1" - ], - "炖": [ - "ㄉㄨㄣ4", - "ㄊㄨㄣ2" - ], - "炗": [ - "ㄍㄨㄤ1" - ], - "炘": [ - "ㄒㄧㄣ1" - ], - "炙": [ - "ㄓ4" - ], - "炚": [ - "ㄍㄨㄤ1" - ], - "炛": [ - "ㄍㄨㄤ1" - ], - "炜": [ - "ㄨㄟ3" - ], - "炝": [ - "ㄑㄧㄤ4" - ], - "炞": [ - "ㄅㄧㄢ5" - ], - "炟": [ - "ㄉㄚ2" - ], - "炠": [ - "ㄒㄧㄚ2" - ], - "炡": [ - "ㄓㄥ1" - ], - "炢": [ - "ㄓㄨ2" - ], - "炣": [ - "ㄎㄜ3" - ], - "炤": [ - "ㄓㄠ4", - "ㄓㄠ1", - "ㄓㄠ3" - ], - "炥": [ - "ㄈㄨ2" - ], - "炦": [ - "ㄅㄚ2" - ], - "炧": [ - "ㄒㄧㄝ4" - ], - "炨": [ - "ㄒㄧㄝ4" - ], - "炩": [ - "ㄌㄧㄥ4" - ], - "炪": [ - "ㄓㄨㄛ1", - "ㄔㄨ4" - ], - "炫": [ - "ㄒㄩㄢ4" - ], - "炬": [ - "ㄐㄩ4" - ], - "炭": [ - "ㄊㄢ4" - ], - "炮": [ - "ㄆㄠ4", - "ㄅㄠ1", - "ㄆㄠ2" - ], - "炯": [ - "ㄐㄩㄥ3" - ], - "炰": [ - "ㄆㄠ2", - "ㄈㄡ3" - ], - "炱": [ - "ㄊㄞ2" - ], - "炲": [ - "ㄊㄞ2" - ], - "炳": [ - "ㄅㄧㄥ3" - ], - "炴": [ - "ㄧㄤ3" - ], - "炵": [ - "ㄊㄨㄥ1" - ], - "炶": [ - "ㄕㄢ3" - ], - "炷": [ - "ㄓㄨ4" - ], - "炸": [ - "ㄓㄚ4", - "ㄓㄚ2" - ], - "点": [ - "ㄉㄧㄢ3" - ], - "為": [ - "ㄨㄟ4", - "ㄨㄟ2" - ], - "炻": [ - "ㄕ2" - ], - "炼": [ - "ㄌㄧㄢ4" - ], - "炽": [ - "ㄔ4" - ], - "炾": [ - "ㄏㄨㄤ3" - ], - "炿": [ - "ㄓㄡ1" - ], - "烀": [ - "ㄏㄨ1" - ], - "烁": [ - "ㄕㄨㄛ4" - ], - "烂": [ - "ㄌㄢ4" - ], - "烃": [ - "ㄊㄧㄥ1" - ], - "烄": [ - "ㄐㄧㄠ3", - "ㄧㄠ4" - ], - "烅": [ - "ㄒㄩ4" - ], - "烆": [ - "ㄏㄥ2" - ], - "烇": [ - "ㄑㄩㄢ3" - ], - "烈": [ - "ㄌㄧㄝ4" - ], - "烉": [ - "ㄏㄨㄢ4" - ], - "烊": [ - "ㄧㄤ2", - "ㄧㄤ4" - ], - "烋": [ - "ㄒㄧㄡ1", - "ㄒㄧㄠ1" - ], - "烌": [ - "ㄒㄧㄡ1" - ], - "烍": [ - "ㄒㄧㄢ3" - ], - "烎": [ - "ㄧㄣ2" - ], - "烏": [ - "ㄨ1", - "ㄧㄚ1", - "ㄨ4" - ], - "烐": [ - "ㄓㄡ1" - ], - "烑": [ - "ㄧㄠ2" - ], - "烒": [ - "ㄕ4" - ], - "烓": [ - "ㄨㄟ1" - ], - "烔": [ - "ㄊㄨㄥ2", - "ㄉㄨㄥ4" - ], - "烕": [ - "ㄇㄧㄝ4" - ], - "烖": [ - "ㄗㄞ1" - ], - "烗": [ - "ㄎㄞ4" - ], - "烘": [ - "ㄏㄨㄥ1" - ], - "烙": [ - "ㄌㄠ4", - "ㄌㄨㄛ4" - ], - "烚": [ - "ㄒㄧㄚ2" - ], - "烛": [ - "ㄓㄨ2", - "ㄔㄨㄥ2" - ], - "烜": [ - "ㄒㄩㄢ3", - "ㄒㄩㄢ1", - "ㄏㄨㄟ3" - ], - "烝": [ - "ㄓㄥ1" - ], - "烞": [ - "ㄆㄛ4" - ], - "烟": [ - "ㄧㄢ1", - "ㄧㄣ1" - ], - "烠": [ - "ㄏㄨㄟ2", - "ㄏㄨㄟ3", - "ㄞ3" - ], - "烡": [ - "ㄍㄨㄤ1" - ], - "烢": [ - "ㄔㄜ4" - ], - "烣": [ - "ㄏㄨㄟ1" - ], - "烤": [ - "ㄎㄠ3" - ], - "烥": [ - "ㄐㄩ4" - ], - "烦": [ - "ㄈㄢ2" - ], - "烧": [ - "ㄕㄠ1" - ], - "烨": [ - "ㄧㄝ4" - ], - "烩": [ - "ㄏㄨㄟ4" - ], - "烫": [ - "ㄊㄤ4" - ], - "烬": [ - "ㄐㄧㄣ4" - ], - "热": [ - "ㄖㄜ4" - ], - "烮": [ - "ㄌㄧㄝ4" - ], - "烯": [ - "ㄒㄧ1" - ], - "烰": [ - "ㄈㄨ2", - "ㄈㄨ1" - ], - "烱": [ - "ㄐㄩㄥ3" - ], - "烲": [ - "ㄒㄧㄝ4", - "ㄔㄜ4" - ], - "烳": [ - "ㄆㄨ3" - ], - "烴": [ - "ㄊㄧㄥ1", - "ㄐㄧㄥ3" - ], - "烵": [ - "ㄓㄨㄛ2" - ], - "烶": [ - "ㄊㄧㄥ3" - ], - "烷": [ - "ㄨㄢ2" - ], - "烸": [ - "ㄏㄞ3" - ], - "烹": [ - "ㄆㄥ1" - ], - "烺": [ - "ㄌㄤ3" - ], - "烻": [ - "ㄧㄢ4", - "ㄕㄢ1" - ], - "烼": [ - "ㄒㄩ4" - ], - "烽": [ - "ㄈㄥ1" - ], - "烾": [ - "ㄔ4" - ], - "烿": [ - "ㄖㄨㄥ2" - ], - "焀": [ - "ㄏㄨ2" - ], - "焁": [ - "ㄒㄧ1" - ], - "焂": [ - "ㄕㄨ1" - ], - "焃": [ - "ㄏㄜ4", - "ㄏㄨㄛ4" - ], - "焄": [ - "ㄒㄩㄣ1", - "ㄏㄨㄣ1" - ], - "焅": [ - "ㄎㄨ4", - "ㄎㄠ4" - ], - "焆": [ - "ㄐㄩㄢ1", - "ㄧㄝ4", - "ㄩㄝ4", - "ㄩㄢ1" - ], - "焇": [ - "ㄒㄧㄠ1" - ], - "焈": [ - "ㄒㄧ1" - ], - "焉": [ - "ㄧㄢ1", - "ㄧ2" - ], - "焊": [ - "ㄏㄢ4" - ], - "焋": [ - "ㄓㄨㄤ4" - ], - "焌": [ - "ㄐㄩㄣ4", - "ㄑㄩ1" - ], - "焍": [ - "ㄉㄧ4" - ], - "焎": [ - "ㄒㄧㄝ4" - ], - "焏": [ - "ㄐㄧ2", - "ㄑㄧ4" - ], - "焐": [ - "ㄨ4" - ], - "焑": [ - "ㄧㄢ1" - ], - "焒": [ - "ㄌㄩ3" - ], - "焓": [ - "ㄏㄢ2" - ], - "焔": [ - "ㄧㄢ4" - ], - "焕": [ - "ㄏㄨㄢ4" - ], - "焖": [ - "ㄇㄣ4" - ], - "焗": [ - "ㄐㄩ2" - ], - "焘": [ - "ㄉㄠ4", - "ㄊㄠ1" - ], - "焙": [ - "ㄅㄟ4" - ], - "焚": [ - "ㄈㄣ2", - "ㄈㄣ4" - ], - "焛": [ - "ㄌㄧㄣ4" - ], - "焜": [ - "ㄎㄨㄣ1" - ], - "焝": [ - "ㄏㄨㄣ4" - ], - "焞": [ - "ㄊㄨㄣ1", - "ㄊㄨㄟ1", - "ㄐㄩㄣ4" - ], - "焟": [ - "ㄒㄧ1" - ], - "焠": [ - "ㄘㄨㄟ4" - ], - "無": [ - "ㄨ2", - "ㄇㄛ2" - ], - "焢": [ - "ㄏㄨㄥ1" - ], - "焣": [ - "ㄔㄠ3", - "ㄐㄩ4" - ], - "焤": [ - "ㄈㄨ3" - ], - "焥": [ - "ㄨㄛ4", - "ㄞ4" - ], - "焦": [ - "ㄐㄧㄠ1", - "ㄑㄧㄠ2" - ], - "焧": [ - "ㄘㄨㄥ1" - ], - "焨": [ - "ㄈㄥ4" - ], - "焩": [ - "ㄆㄧㄥ2" - ], - "焪": [ - "ㄑㄩㄥ2" - ], - "焫": [ - "ㄖㄨㄛ4", - "ㄖㄜ4" - ], - "焬": [ - "ㄒㄧ1", - "ㄧ4" - ], - "焭": [ - "ㄑㄩㄥ2" - ], - "焮": [ - "ㄒㄧㄣ4" - ], - "焯": [ - "ㄔㄠ1", - "ㄓㄨㄛ1", - "ㄓㄨㄛ2", - "ㄔㄨㄛ4" - ], - "焰": [ - "ㄧㄢ4" - ], - "焱": [ - "ㄧㄢ4", - "ㄧ4" - ], - "焲": [ - "ㄧ4" - ], - "焳": [ - "ㄐㄩㄝ2" - ], - "焴": [ - "ㄩ4" - ], - "焵": [ - "ㄍㄤ4" - ], - "然": [ - "ㄖㄢ2" - ], - "焷": [ - "ㄆㄧ2" - ], - "焸": [ - "ㄒㄩㄥ4", - "ㄧㄥ1", - "ㄍㄨ3" - ], - "焹": [ - "ㄍㄤ4" - ], - "焺": [ - "ㄕㄥ1" - ], - "焻": [ - "ㄔㄤ4", - "ㄍㄨㄚ1" - ], - "焼": [ - "ㄕㄠ1" - ], - "焽": [ - "ㄒㄩㄥ3" - ], - "焾": [ - "ㄋㄧㄢ3" - ], - "焿": [ - "ㄍㄥ1" - ], - "煀": [ - "ㄨㄟ5" - ], - "煁": [ - "ㄔㄣ2" - ], - "煂": [ - "ㄏㄜ4" - ], - "煃": [ - "ㄎㄨㄟ3" - ], - "煄": [ - "ㄓㄨㄥ3" - ], - "煅": [ - "ㄉㄨㄢ4" - ], - "煆": [ - "ㄒㄧㄚ1", - "ㄒㄧㄚ4" - ], - "煇": [ - "ㄏㄨㄟ1", - "ㄏㄨㄣ2", - "ㄩㄣ4", - "ㄒㄩㄣ1", - "ㄒㄩㄢ4" - ], - "煈": [ - "ㄈㄥ4" - ], - "煉": [ - "ㄌㄧㄢ4", - "ㄌㄢ4" - ], - "煊": [ - "ㄒㄩㄢ1" - ], - "煋": [ - "ㄒㄧㄥ1" - ], - "煌": [ - "ㄏㄨㄤ2" - ], - "煍": [ - "ㄐㄧㄠ3" - ], - "煎": [ - "ㄐㄧㄢ1", - "ㄐㄧㄢ4", - "ㄐㄧㄢ3" - ], - "煏": [ - "ㄅㄧ4" - ], - "煐": [ - "ㄧㄥ1" - ], - "煑": [ - "ㄓㄨ3" - ], - "煒": [ - "ㄨㄟ3", - "ㄏㄨㄟ1" - ], - "煓": [ - "ㄊㄨㄢ1" - ], - "煔": [ - "ㄕㄢ3", - "ㄑㄧㄢ2", - "ㄕㄢ1" - ], - "煕": [ - "ㄒㄧ1" - ], - "煖": [ - "ㄋㄨㄢ3", - "ㄒㄩㄢ1" - ], - "煗": [ - "ㄋㄨㄢ3" - ], - "煘": [ - "ㄔㄢ2" - ], - "煙": [ - "ㄧㄢ1" - ], - "煚": [ - "ㄐㄩㄥ3" - ], - "煛": [ - "ㄐㄩㄥ3" - ], - "煜": [ - "ㄩ4" - ], - "煝": [ - "ㄇㄟ4" - ], - "煞": [ - "ㄕㄚ1", - "ㄕㄚ4" - ], - "煟": [ - "ㄨㄟ4" - ], - "煠": [ - "ㄓㄚ2", - "ㄧㄝ4" - ], - "煡": [ - "ㄐㄧㄣ4" - ], - "煢": [ - "ㄑㄩㄥ2" - ], - "煣": [ - "ㄖㄡ2", - "ㄖㄡ3" - ], - "煤": [ - "ㄇㄟ2" - ], - "煥": [ - "ㄏㄨㄢ4" - ], - "煦": [ - "ㄒㄩ4", - "ㄒㄧㄡ1" - ], - "照": [ - "ㄓㄠ4" - ], - "煨": [ - "ㄨㄟ1", - "ㄩ4" - ], - "煩": [ - "ㄈㄢ2" - ], - "煪": [ - "ㄑㄧㄡ2" - ], - "煫": [ - "ㄙㄨㄟ4" - ], - "煬": [ - "ㄧㄤ2", - "ㄧㄤ4" - ], - "煭": [ - "ㄌㄧㄝ4" - ], - "煮": [ - "ㄓㄨ3" - ], - "煯": [ - "ㄐㄧㄝ1" - ], - "煰": [ - "ㄗㄠ4" - ], - "煱": [ - "ㄍㄨㄚ1" - ], - "煲": [ - "ㄅㄠ1" - ], - "煳": [ - "ㄏㄨ2" - ], - "煴": [ - "ㄩㄣ1", - "ㄩㄣ4", - "ㄨㄣ3" - ], - "煵": [ - "ㄋㄢ3" - ], - "煶": [ - "ㄕ4" - ], - "煷": [ - "ㄌㄧㄤ5" - ], - "煸": [ - "ㄅㄧㄢ1" - ], - "煹": [ - "ㄍㄡ4" - ], - "煺": [ - "ㄊㄨㄟ4" - ], - "煻": [ - "ㄊㄤ2" - ], - "煼": [ - "ㄔㄠ3" - ], - "煽": [ - "ㄕㄢ1" - ], - "煾": [ - "ㄣ1", - "ㄩㄣ1" - ], - "煿": [ - "ㄅㄛ2" - ], - "熀": [ - "ㄏㄨㄤ3", - "ㄧㄝ4" - ], - "熁": [ - "ㄒㄧㄝ2" - ], - "熂": [ - "ㄒㄧ4" - ], - "熃": [ - "ㄨ4" - ], - "熄": [ - "ㄒㄧ1" - ], - "熅": [ - "ㄩㄣ4" - ], - "熆": [ - "ㄏㄜ2" - ], - "熇": [ - "ㄏㄜ4", - "ㄒㄧㄠ1", - "ㄎㄠ3", - "ㄎㄠ4" - ], - "熈": [ - "ㄒㄧ1" - ], - "熉": [ - "ㄩㄣ2" - ], - "熊": [ - "ㄒㄩㄥ2" - ], - "熋": [ - "ㄋㄞ2" - ], - "熌": [ - "ㄕㄢ3" - ], - "熍": [ - "ㄑㄩㄥ2" - ], - "熎": [ - "ㄧㄠ4" - ], - "熏": [ - "ㄒㄩㄣ1", - "ㄒㄩㄣ4" - ], - "熐": [ - "ㄇㄧ4" - ], - "熑": [ - "ㄌㄧㄢ2", - "ㄑㄧㄢ1" - ], - "熒": [ - "ㄧㄥ2", - "ㄒㄧㄥ2", - "ㄐㄩㄥ3" - ], - "熓": [ - "ㄨ3" - ], - "熔": [ - "ㄖㄨㄥ2" - ], - "熕": [ - "ㄍㄨㄥ1" - ], - "熖": [ - "ㄧㄢ4" - ], - "熗": [ - "ㄑㄧㄤ4" - ], - "熘": [ - "ㄌㄧㄡ1" - ], - "熙": [ - "ㄒㄧ1", - "ㄧ2" - ], - "熚": [ - "ㄅㄧ4" - ], - "熛": [ - "ㄅㄧㄠ1" - ], - "熜": [ - "ㄘㄨㄥ1", - "ㄗㄨㄥ3" - ], - "熝": [ - "ㄌㄨ4", - "ㄠ1" - ], - "熞": [ - "ㄐㄧㄢ1" - ], - "熟": [ - "ㄕㄨ2", - "ㄕㄡ2" - ], - "熠": [ - "ㄧ4" - ], - "熡": [ - "ㄌㄡ2" - ], - "熢": [ - "ㄆㄥ2", - "ㄅㄥ4", - "ㄈㄥ1" - ], - "熣": [ - "ㄙㄨㄟ1", - "ㄘㄨㄟ3" - ], - "熤": [ - "ㄧ4" - ], - "熥": [ - "ㄊㄥ1", - "ㄊㄨㄥ1" - ], - "熦": [ - "ㄐㄩㄝ2" - ], - "熧": [ - "ㄗㄨㄥ1" - ], - "熨": [ - "ㄩㄣ4", - "ㄩ4", - "ㄨㄟ4" - ], - "熩": [ - "ㄏㄨ4" - ], - "熪": [ - "ㄧ2" - ], - "熫": [ - "ㄓ4" - ], - "熬": [ - "ㄠ2", - "ㄠ1" - ], - "熭": [ - "ㄨㄟ4" - ], - "熮": [ - "ㄌㄧㄡ3" - ], - "熯": [ - "ㄏㄢ4", - "ㄖㄢ3" - ], - "熰": [ - "ㄡ1", - "ㄡ4" - ], - "熱": [ - "ㄖㄜ4" - ], - "熲": [ - "ㄐㄩㄥ3" - ], - "熳": [ - "ㄇㄢ4" - ], - "熴": [ - "ㄎㄨㄣ1" - ], - "熵": [ - "ㄕㄤ1" - ], - "熶": [ - "ㄘㄨㄢ4" - ], - "熷": [ - "ㄗㄥ1" - ], - "熸": [ - "ㄐㄧㄢ1" - ], - "熹": [ - "ㄒㄧ1" - ], - "熺": [ - "ㄒㄧ1" - ], - "熻": [ - "ㄒㄧ1" - ], - "熼": [ - "ㄧ4" - ], - "熽": [ - "ㄒㄧㄠ4" - ], - "熾": [ - "ㄔ4" - ], - "熿": [ - "ㄏㄨㄤ2", - "ㄏㄨㄤ3" - ], - "燀": [ - "ㄔㄢ3", - "ㄉㄢ3", - "ㄔㄢ4" - ], - "燁": [ - "ㄧㄝ4" - ], - "燂": [ - "ㄊㄢ2", - "ㄒㄩㄣ2", - "ㄑㄧㄢ2" - ], - "燃": [ - "ㄖㄢ2" - ], - "燄": [ - "ㄧㄢ4" - ], - "燅": [ - "ㄒㄩㄣ2" - ], - "燆": [ - "ㄑㄧㄠ1", - "ㄒㄧㄠ1" - ], - "燇": [ - "ㄐㄩㄣ4" - ], - "燈": [ - "ㄉㄥ1" - ], - "燉": [ - "ㄉㄨㄣ4", - "ㄊㄨㄣ2", - "ㄉㄨㄣ1" - ], - "燊": [ - "ㄕㄣ1" - ], - "燋": [ - "ㄐㄧㄠ1", - "ㄑㄧㄠ2", - "ㄐㄩㄝ2", - "ㄓㄨㄛ2" - ], - "燌": [ - "ㄈㄣ2", - "ㄅㄣ4" - ], - "燍": [ - "ㄙ1", - "ㄒㄧ1" - ], - "燎": [ - "ㄌㄧㄠ2", - "ㄌㄧㄠ3", - "ㄌㄧㄠ4" - ], - "燏": [ - "ㄩ4" - ], - "燐": [ - "ㄌㄧㄣ2" - ], - "燑": [ - "ㄊㄨㄥ2" - ], - "燒": [ - "ㄕㄠ1", - "ㄕㄠ4" - ], - "燓": [ - "ㄈㄣ2" - ], - "燔": [ - "ㄈㄢ2", - "ㄈㄣ2" - ], - "燕": [ - "ㄧㄢ4", - "ㄧㄢ1" - ], - "燖": [ - "ㄒㄩㄣ2", - "ㄑㄧㄢ2" - ], - "燗": [ - "ㄌㄢ4" - ], - "燘": [ - "ㄇㄟ3" - ], - "燙": [ - "ㄊㄤ4", - "ㄉㄤ4" - ], - "燚": [ - "ㄧ4" - ], - "燛": [ - "ㄐㄩㄥ3" - ], - "燜": [ - "ㄇㄣ4" - ], - "燝": [ - "ㄐㄧㄥ5" - ], - "燞": [ - "ㄐㄧㄠ3" - ], - "營": [ - "ㄧㄥ2", - "ㄘㄨㄛ1" - ], - "燠": [ - "ㄩ4", - "ㄠ4" - ], - "燡": [ - "ㄧ4" - ], - "燢": [ - "ㄒㄩㄝ2" - ], - "燣": [ - "ㄌㄢ2" - ], - "燤": [ - "ㄊㄞ4", - "ㄌㄧㄝ4" - ], - "燥": [ - "ㄗㄠ4", - "ㄙㄠ4" - ], - "燦": [ - "ㄘㄢ4" - ], - "燧": [ - "ㄙㄨㄟ4" - ], - "燨": [ - "ㄒㄧ1" - ], - "燩": [ - "ㄑㄩㄝ4" - ], - "燪": [ - "ㄗㄨㄥ3" - ], - "燫": [ - "ㄌㄧㄢ2" - ], - "燬": [ - "ㄏㄨㄟ3" - ], - "燭": [ - "ㄓㄨ2", - "ㄎㄨㄛ4" - ], - "燮": [ - "ㄒㄧㄝ4" - ], - "燯": [ - "ㄌㄧㄥ2" - ], - "燰": [ - "ㄨㄟ1" - ], - "燱": [ - "ㄧ4" - ], - "燲": [ - "ㄒㄧㄝ2" - ], - "燳": [ - "ㄓㄠ4" - ], - "燴": [ - "ㄏㄨㄟ4" - ], - "燵": [ - "ㄉㄚ2" - ], - "燶": [ - "ㄋㄨㄥ2" - ], - "燷": [ - "ㄌㄢ2" - ], - "燸": [ - "ㄖㄨ2", - "ㄖㄨㄢ3" - ], - "燹": [ - "ㄒㄧㄢ3", - "ㄅㄧㄥ4" - ], - "燺": [ - "ㄏㄜ4" - ], - "燻": [ - "ㄒㄩㄣ1" - ], - "燼": [ - "ㄐㄧㄣ4" - ], - "燽": [ - "ㄔㄡ2" - ], - "燾": [ - "ㄉㄠ4", - "ㄊㄠ1" - ], - "燿": [ - "ㄧㄠ4", - "ㄕㄨㄛ4", - "ㄕㄠ4" - ], - "爀": [ - "ㄏㄜ4" - ], - "爁": [ - "ㄌㄢ4" - ], - "爂": [ - "ㄅㄧㄠ1" - ], - "爃": [ - "ㄖㄨㄥ2" - ], - "爄": [ - "ㄌㄧ4", - "ㄌㄧㄝ4" - ], - "爅": [ - "ㄇㄛ4" - ], - "爆": [ - "ㄅㄠ4", - "ㄅㄛ2" - ], - "爇": [ - "ㄖㄨㄛ4" - ], - "爈": [ - "ㄌㄩ4" - ], - "爉": [ - "ㄌㄚ4", - "ㄌㄧㄝ4" - ], - "爊": [ - "ㄠ1" - ], - "爋": [ - "ㄒㄩㄣ1" - ], - "爌": [ - "ㄎㄨㄤ4", - "ㄏㄨㄤ3", - "ㄎㄨㄤ3" - ], - "爍": [ - "ㄕㄨㄛ4", - "ㄌㄨㄛ4", - "ㄩㄝ4" - ], - "爎": [ - "ㄌㄧㄠ2" - ], - "爏": [ - "ㄌㄧ4" - ], - "爐": [ - "ㄌㄨ2" - ], - "爑": [ - "ㄐㄩㄝ2" - ], - "爒": [ - "ㄌㄧㄠ3" - ], - "爓": [ - "ㄧㄢ4", - "ㄒㄩㄣ2" - ], - "爔": [ - "ㄒㄧ1" - ], - "爕": [ - "ㄒㄧㄝ4" - ], - "爖": [ - "ㄌㄨㄥ2" - ], - "爗": [ - "ㄧㄝ4" - ], - "爘": [ - "ㄘㄢ1" - ], - "爙": [ - "ㄖㄤ3" - ], - "爚": [ - "ㄩㄝ4" - ], - "爛": [ - "ㄌㄢ4" - ], - "爜": [ - "ㄘㄨㄥ2" - ], - "爝": [ - "ㄐㄩㄝ2", - "ㄐㄧㄠ4" - ], - "爞": [ - "ㄔㄨㄥ2", - "ㄊㄨㄥ2" - ], - "爟": [ - "ㄍㄨㄢ4" - ], - "爠": [ - "ㄐㄩ5" - ], - "爡": [ - "ㄔㄜ4" - ], - "爢": [ - "ㄇㄧ2" - ], - "爣": [ - "ㄊㄤ3" - ], - "爤": [ - "ㄌㄢ4" - ], - "爥": [ - "ㄓㄨ2" - ], - "爦": [ - "ㄌㄢ3" - ], - "爧": [ - "ㄌㄧㄥ2" - ], - "爨": [ - "ㄘㄨㄢ4" - ], - "爩": [ - "ㄩ4" - ], - "爪": [ - "ㄓㄠ3", - "ㄓㄨㄚ3" - ], - "爫": [ - "ㄓㄠ3" - ], - "爬": [ - "ㄆㄚ2" - ], - "爭": [ - "ㄓㄥ1", - "ㄓㄥ4" - ], - "爮": [ - "ㄆㄠ2" - ], - "爯": [ - "ㄔㄥ1", - "ㄔㄥ4" - ], - "爰": [ - "ㄩㄢ2" - ], - "爱": [ - "ㄞ4" - ], - "爲": [ - "ㄨㄟ4", - "ㄨㄟ2" - ], - "爳": [ - "ㄏㄢ5" - ], - "爴": [ - "ㄐㄩㄝ2" - ], - "爵": [ - "ㄐㄩㄝ2" - ], - "父": [ - "ㄈㄨ4", - "ㄈㄨ3" - ], - "爷": [ - "ㄧㄝ2" - ], - "爸": [ - "ㄅㄚ4" - ], - "爹": [ - "ㄉㄧㄝ1" - ], - "爺": [ - "ㄧㄝ2" - ], - "爻": [ - "ㄧㄠ2", - "ㄒㄧㄠ4" - ], - "爼": [ - "ㄗㄨ3" - ], - "爽": [ - "ㄕㄨㄤ3", - "ㄕㄨㄤ1" - ], - "爾": [ - "ㄦ3", - "ㄇㄧ3", - "ㄋㄧ3" - ], - "爿": [ - "ㄆㄢ2", - "ㄑㄧㄤ2" - ], - "牀": [ - "ㄔㄨㄤ2" - ], - "牁": [ - "ㄎㄜ1" - ], - "牂": [ - "ㄗㄤ1" - ], - "牃": [ - "ㄉㄧㄝ2" - ], - "牄": [ - "ㄑㄧㄤ1" - ], - "牅": [ - "ㄩㄥ1" - ], - "牆": [ - "ㄑㄧㄤ2" - ], - "片": [ - "ㄆㄧㄢ4", - "ㄆㄧㄢ1", - "ㄆㄢ4" - ], - "版": [ - "ㄅㄢ3" - ], - "牉": [ - "ㄆㄢ4" - ], - "牊": [ - "ㄔㄠ2" - ], - "牋": [ - "ㄐㄧㄢ1" - ], - "牌": [ - "ㄆㄞ2" - ], - "牍": [ - "ㄉㄨ2" - ], - "牎": [ - "ㄔㄨㄤ1" - ], - "牏": [ - "ㄩ2" - ], - "牐": [ - "ㄓㄚ2" - ], - "牑": [ - "ㄅㄧㄢ1", - "ㄇㄧㄢ4" - ], - "牒": [ - "ㄉㄧㄝ2" - ], - "牓": [ - "ㄅㄤ3", - "ㄆㄤ1" - ], - "牔": [ - "ㄅㄛ2" - ], - "牕": [ - "ㄔㄨㄤ1" - ], - "牖": [ - "ㄧㄡ3" - ], - "牗": [ - "ㄧㄡ3" - ], - "牘": [ - "ㄉㄨ2" - ], - "牙": [ - "ㄧㄚ2", - "ㄧㄚ4" - ], - "牚": [ - "ㄔㄥ1", - "ㄔㄥ4" - ], - "牛": [ - "ㄋㄧㄡ2" - ], - "牜": [ - "ㄋㄧㄡ2" - ], - "牝": [ - "ㄆㄧㄣ4" - ], - "牞": [ - "ㄐㄧㄡ1", - "ㄌㄜ4" - ], - "牟": [ - "ㄇㄡ2", - "ㄇㄨ4", - "ㄇㄠ4" - ], - "牠": [ - "ㄊㄚ1", - "ㄊㄨㄛ2" - ], - "牡": [ - "ㄇㄨ3" - ], - "牢": [ - "ㄌㄠ2", - "ㄌㄠ4", - "ㄌㄡ2" - ], - "牣": [ - "ㄖㄣ4" - ], - "牤": [ - "ㄇㄤ1" - ], - "牥": [ - "ㄈㄤ1" - ], - "牦": [ - "ㄇㄠ2" - ], - "牧": [ - "ㄇㄨ4" - ], - "牨": [ - "ㄍㄤ1" - ], - "物": [ - "ㄨ4" - ], - "牪": [ - "ㄧㄢ4" - ], - "牫": [ - "ㄍㄜ1", - "ㄑㄧㄡ2", - "ㄗㄤ1" - ], - "牬": [ - "ㄅㄟ4" - ], - "牭": [ - "ㄙ4" - ], - "牮": [ - "ㄐㄧㄢ4" - ], - "牯": [ - "ㄍㄨ3" - ], - "牰": [ - "ㄧㄡ4", - "ㄔㄡ1" - ], - "牱": [ - "ㄍㄜ1" - ], - "牲": [ - "ㄕㄥ1" - ], - "牳": [ - "ㄇㄨ3" - ], - "牴": [ - "ㄉㄧ3", - "ㄉㄧ1", - "ㄓㄞ1" - ], - "牵": [ - "ㄑㄧㄢ1" - ], - "牶": [ - "ㄑㄩㄢ4" - ], - "牷": [ - "ㄑㄩㄢ2" - ], - "牸": [ - "ㄗ4" - ], - "特": [ - "ㄊㄜ4" - ], - "牺": [ - "ㄒㄧ1" - ], - "牻": [ - "ㄇㄤ2" - ], - "牼": [ - "ㄎㄥ1" - ], - "牽": [ - "ㄑㄧㄢ1", - "ㄑㄧㄢ4" - ], - "牾": [ - "ㄨ3", - "ㄨ2" - ], - "牿": [ - "ㄍㄨ4" - ], - "犀": [ - "ㄒㄧ1" - ], - "犁": [ - "ㄌㄧ2" - ], - "犂": [ - "ㄌㄧ2" - ], - "犃": [ - "ㄆㄡ3" - ], - "犄": [ - "ㄐㄧ1", - "ㄧ1" - ], - "犅": [ - "ㄍㄤ1" - ], - "犆": [ - "ㄓ2", - "ㄊㄜ4" - ], - "犇": [ - "ㄅㄣ1" - ], - "犈": [ - "ㄑㄩㄢ2" - ], - "犉": [ - "ㄔㄨㄣ2" - ], - "犊": [ - "ㄉㄨ2" - ], - "犋": [ - "ㄐㄩ4" - ], - "犌": [ - "ㄐㄧㄚ1" - ], - "犍": [ - "ㄐㄧㄢ1", - "ㄑㄧㄢ2", - "ㄐㄧㄢ3" - ], - "犎": [ - "ㄈㄥ1" - ], - "犏": [ - "ㄆㄧㄢ1" - ], - "犐": [ - "ㄎㄜ1" - ], - "犑": [ - "ㄐㄩ2" - ], - "犒": [ - "ㄎㄠ4" - ], - "犓": [ - "ㄔㄨ2" - ], - "犔": [ - "ㄒㄧ4" - ], - "犕": [ - "ㄅㄟ4" - ], - "犖": [ - "ㄌㄨㄛ4" - ], - "犗": [ - "ㄐㄧㄝ4" - ], - "犘": [ - "ㄇㄚ2" - ], - "犙": [ - "ㄙㄢ1" - ], - "犚": [ - "ㄨㄟ4" - ], - "犛": [ - "ㄇㄠ2", - "ㄌㄧ2" - ], - "犜": [ - "ㄉㄨㄣ1" - ], - "犝": [ - "ㄊㄨㄥ2" - ], - "犞": [ - "ㄑㄧㄠ2" - ], - "犟": [ - "ㄐㄧㄤ4" - ], - "犠": [ - "ㄒㄧ1" - ], - "犡": [ - "ㄌㄧ4" - ], - "犢": [ - "ㄉㄨ2" - ], - "犣": [ - "ㄌㄧㄝ4" - ], - "犤": [ - "ㄆㄞ2" - ], - "犥": [ - "ㄆㄧㄠ1", - "ㄆㄠ4" - ], - "犦": [ - "ㄅㄛ2" - ], - "犧": [ - "ㄒㄧ1", - "ㄙㄨㄛ1" - ], - "犨": [ - "ㄔㄡ1" - ], - "犩": [ - "ㄨㄟ2" - ], - "犪": [ - "ㄎㄨㄟ2", - "ㄖㄠ2" - ], - "犫": [ - "ㄔㄡ1" - ], - "犬": [ - "ㄑㄩㄢ3" - ], - "犭": [ - "ㄑㄩㄢ3" - ], - "犮": [ - "ㄅㄚ2" - ], - "犯": [ - "ㄈㄢ4" - ], - "犰": [ - "ㄑㄧㄡ2" - ], - "犱": [ - "ㄐㄧ3" - ], - "犲": [ - "ㄔㄞ2" - ], - "犳": [ - "ㄓㄨㄛ2" - ], - "犴": [ - "ㄢ4", - "ㄏㄢ1", - "ㄢ2", - "ㄐㄧㄢ4" - ], - "犵": [ - "ㄍㄜ1", - "ㄏㄜ2" - ], - "状": [ - "ㄓㄨㄤ4" - ], - "犷": [ - "ㄍㄨㄤ3" - ], - "犸": [ - "ㄇㄚ4", - "ㄇㄚ3" - ], - "犹": [ - "ㄧㄡ2", - "ㄧㄡ4" - ], - "犺": [ - "ㄎㄤ4", - "ㄍㄤ3" - ], - "犻": [ - "ㄅㄛ2", - "ㄆㄟ4", - "ㄈㄟ4" - ], - "犼": [ - "ㄏㄡ3" - ], - "犽": [ - "ㄧㄚ4" - ], - "犾": [ - "ㄧㄣ2" - ], - "犿": [ - "ㄏㄨㄢ1", - "ㄈㄢ1" - ], - "狀": [ - "ㄓㄨㄤ4" - ], - "狁": [ - "ㄩㄣ3" - ], - "狂": [ - "ㄎㄨㄤ2", - "ㄐㄩㄝ2" - ], - "狃": [ - "ㄋㄧㄡ3", - "ㄋㄩ4" - ], - "狄": [ - "ㄉㄧ2", - "ㄊㄧ4" - ], - "狅": [ - "ㄎㄨㄤ2" - ], - "狆": [ - "ㄓㄨㄥ4" - ], - "狇": [ - "ㄇㄨ4" - ], - "狈": [ - "ㄅㄟ4" - ], - "狉": [ - "ㄆㄧ1" - ], - "狊": [ - "ㄐㄩ2" - ], - "狋": [ - "ㄧ2", - "ㄑㄩㄢ2", - "ㄔ2" - ], - "狌": [ - "ㄕㄥ1", - "ㄒㄧㄥ1" - ], - "狍": [ - "ㄆㄠ2" - ], - "狎": [ - "ㄒㄧㄚ2" - ], - "狏": [ - "ㄊㄨㄛ2", - "ㄧ2" - ], - "狐": [ - "ㄏㄨ2" - ], - "狑": [ - "ㄌㄧㄥ2" - ], - "狒": [ - "ㄈㄟ4" - ], - "狓": [ - "ㄆㄧ2", - "ㄆㄧ1" - ], - "狔": [ - "ㄋㄧ3" - ], - "狕": [ - "ㄧㄠ3" - ], - "狖": [ - "ㄧㄡ4" - ], - "狗": [ - "ㄍㄡ3" - ], - "狘": [ - "ㄒㄩㄝ4" - ], - "狙": [ - "ㄐㄩ1" - ], - "狚": [ - "ㄉㄢ4" - ], - "狛": [ - "ㄅㄛ2" - ], - "狜": [ - "ㄎㄨ3" - ], - "狝": [ - "ㄒㄧㄢ3" - ], - "狞": [ - "ㄋㄧㄥ2" - ], - "狟": [ - "ㄏㄨㄢ2", - "ㄒㄩㄢ1", - "ㄏㄥ2" - ], - "狠": [ - "ㄏㄣ3", - "ㄧㄢ2", - "ㄎㄣ3", - "ㄏㄤ3" - ], - "狡": [ - "ㄐㄧㄠ3", - "ㄒㄧㄠ4" - ], - "狢": [ - "ㄏㄜ2", - "ㄇㄛ4" - ], - "狣": [ - "ㄓㄠ4" - ], - "狤": [ - "ㄐㄧ2", - "ㄐㄧㄝ2", - "ㄎㄨㄞ4" - ], - "狥": [ - "ㄒㄩㄣ4" - ], - "狦": [ - "ㄕㄢ1" - ], - "狧": [ - "ㄊㄚ4", - "ㄕ4" - ], - "狨": [ - "ㄖㄨㄥ2" - ], - "狩": [ - "ㄕㄡ4" - ], - "狪": [ - "ㄊㄨㄥ2", - "ㄉㄨㄥ4" - ], - "狫": [ - "ㄌㄠ3" - ], - "独": [ - "ㄉㄨ2" - ], - "狭": [ - "ㄒㄧㄚ2" - ], - "狮": [ - "ㄕ1" - ], - "狯": [ - "ㄎㄨㄞ4" - ], - "狰": [ - "ㄓㄥ1" - ], - "狱": [ - "ㄩ4" - ], - "狲": [ - "ㄙㄨㄣ1" - ], - "狳": [ - "ㄩ2" - ], - "狴": [ - "ㄅㄧ4" - ], - "狵": [ - "ㄇㄤ2", - "ㄓㄨㄛ2" - ], - "狶": [ - "ㄒㄧ1", - "ㄕ3" - ], - "狷": [ - "ㄐㄩㄢ4" - ], - "狸": [ - "ㄌㄧ2" - ], - "狹": [ - "ㄒㄧㄚ2" - ], - "狺": [ - "ㄧㄣ2" - ], - "狻": [ - "ㄙㄨㄢ1", - "ㄒㄩㄣ4", - "ㄐㄩㄣ4" - ], - "狼": [ - "ㄌㄤ2", - "ㄌㄤ3", - "ㄌㄤ4", - "ㄏㄤ3" - ], - "狽": [ - "ㄅㄟ4" - ], - "狾": [ - "ㄓ4" - ], - "狿": [ - "ㄧㄢ2" - ], - "猀": [ - "ㄕㄚ1" - ], - "猁": [ - "ㄌㄧ4" - ], - "猂": [ - "ㄏㄢ4" - ], - "猃": [ - "ㄒㄧㄢ3" - ], - "猄": [ - "ㄐㄧㄥ1" - ], - "猅": [ - "ㄆㄞ2" - ], - "猆": [ - "ㄈㄟ1" - ], - "猇": [ - "ㄒㄧㄠ1" - ], - "猈": [ - "ㄅㄞ4", - "ㄆㄧ2" - ], - "猉": [ - "ㄑㄧ2" - ], - "猊": [ - "ㄋㄧ2" - ], - "猋": [ - "ㄅㄧㄠ1" - ], - "猌": [ - "ㄧㄣ4" - ], - "猍": [ - "ㄌㄞ2" - ], - "猎": [ - "ㄌㄧㄝ4", - "ㄒㄧ1", - "ㄑㄩㄝ4" - ], - "猏": [ - "ㄐㄧㄢ1" - ], - "猐": [ - "ㄑㄧㄤ1" - ], - "猑": [ - "ㄎㄨㄣ1" - ], - "猒": [ - "ㄧㄢ4" - ], - "猓": [ - "ㄍㄨㄛ3", - "ㄌㄨㄛ3" - ], - "猔": [ - "ㄗㄨㄥ4" - ], - "猕": [ - "ㄇㄧ2" - ], - "猖": [ - "ㄔㄤ1" - ], - "猗": [ - "ㄧ1", - "ㄧ3", - "ㄐㄧ4", - "ㄜ1", - "ㄨㄟ1" - ], - "猘": [ - "ㄓ4" - ], - "猙": [ - "ㄓㄥ1" - ], - "猚": [ - "ㄧㄚ2", - "ㄨㄟ4" - ], - "猛": [ - "ㄇㄥ3" - ], - "猜": [ - "ㄘㄞ1" - ], - "猝": [ - "ㄘㄨ4" - ], - "猞": [ - "ㄕㄜ1" - ], - "猟": [ - "ㄌㄧㄝ4" - ], - "猠": [ - "ㄉㄧㄢ3" - ], - "猡": [ - "ㄌㄨㄛ2" - ], - "猢": [ - "ㄏㄨ2" - ], - "猣": [ - "ㄗㄨㄥ1" - ], - "猤": [ - "ㄍㄨㄟ4" - ], - "猥": [ - "ㄨㄟ3", - "ㄨㄟ4" - ], - "猦": [ - "ㄈㄥ1" - ], - "猧": [ - "ㄨㄛ1" - ], - "猨": [ - "ㄩㄢ2" - ], - "猩": [ - "ㄒㄧㄥ1" - ], - "猪": [ - "ㄓㄨ1" - ], - "猫": [ - "ㄇㄠ1", - "ㄇㄧㄠ2", - "ㄇㄠ2" - ], - "猬": [ - "ㄨㄟ4" - ], - "猭": [ - "ㄔㄨㄢ1", - "ㄔㄨㄢ4", - "ㄕㄢ1" - ], - "献": [ - "ㄒㄧㄢ4" - ], - "猯": [ - "ㄊㄨㄢ1" - ], - "猰": [ - "ㄧㄚ4", - "ㄐㄧㄚ2", - "ㄑㄧㄝ4" - ], - "猱": [ - "ㄋㄠ2" - ], - "猲": [ - "ㄒㄧㄝ1", - "ㄏㄜ4", - "ㄍㄜ2", - "ㄏㄞ4" - ], - "猳": [ - "ㄐㄧㄚ1" - ], - "猴": [ - "ㄏㄡ2" - ], - "猵": [ - "ㄅㄧㄢ1", - "ㄆㄧㄢ4" - ], - "猶": [ - "ㄧㄡ2", - "ㄧㄠ2" - ], - "猷": [ - "ㄧㄡ2" - ], - "猸": [ - "ㄇㄟ2" - ], - "猹": [ - "ㄔㄚ2" - ], - "猺": [ - "ㄧㄠ2" - ], - "猻": [ - "ㄙㄨㄣ1" - ], - "猼": [ - "ㄅㄛ2", - "ㄆㄛ4" - ], - "猽": [ - "ㄇㄧㄥ2" - ], - "猾": [ - "ㄏㄨㄚ2" - ], - "猿": [ - "ㄩㄢ2" - ], - "獀": [ - "ㄙㄡ1" - ], - "獁": [ - "ㄇㄚ4", - "ㄇㄚ3" - ], - "獂": [ - "ㄩㄢ2" - ], - "獃": [ - "ㄉㄞ1", - "ㄞ2" - ], - "獄": [ - "ㄩ4" - ], - "獅": [ - "ㄕ1" - ], - "獆": [ - "ㄏㄠ2" - ], - "獇": [ - "ㄑㄧㄤ1" - ], - "獈": [ - "ㄧ4" - ], - "獉": [ - "ㄓㄣ1" - ], - "獊": [ - "ㄘㄤ1" - ], - "獋": [ - "ㄏㄠ2", - "ㄍㄠ1" - ], - "獌": [ - "ㄇㄢ4" - ], - "獍": [ - "ㄐㄧㄥ4" - ], - "獎": [ - "ㄐㄧㄤ3" - ], - "獏": [ - "ㄇㄛ4", - "ㄇㄨ2" - ], - "獐": [ - "ㄓㄤ1" - ], - "獑": [ - "ㄔㄢ2" - ], - "獒": [ - "ㄠ2" - ], - "獓": [ - "ㄠ2" - ], - "獔": [ - "ㄏㄠ2" - ], - "獕": [ - "ㄘㄨㄟ1" - ], - "獖": [ - "ㄅㄣ4", - "ㄈㄣ4", - "ㄈㄣ2" - ], - "獗": [ - "ㄐㄩㄝ2" - ], - "獘": [ - "ㄅㄧ4" - ], - "獙": [ - "ㄅㄧ4" - ], - "獚": [ - "ㄏㄨㄤ2" - ], - "獛": [ - "ㄆㄨ2" - ], - "獜": [ - "ㄌㄧㄣ2", - "ㄌㄧㄣ4" - ], - "獝": [ - "ㄒㄩ4", - "ㄩ4" - ], - "獞": [ - "ㄊㄨㄥ2", - "ㄓㄨㄤ4" - ], - "獟": [ - "ㄧㄠ4", - "ㄒㄧㄠ1" - ], - "獠": [ - "ㄌㄧㄠ2", - "ㄌㄠ3" - ], - "獡": [ - "ㄕㄨㄛ4" - ], - "獢": [ - "ㄒㄧㄠ1" - ], - "獣": [ - "ㄕㄡ4" - ], - "獤": [ - "ㄉㄨㄣ1" - ], - "獥": [ - "ㄐㄧㄠ4" - ], - "獦": [ - "ㄍㄜ2", - "ㄒㄧㄝ1", - "ㄌㄧㄝ4" - ], - "獧": [ - "ㄐㄩㄢ4" - ], - "獨": [ - "ㄉㄨ2" - ], - "獩": [ - "ㄏㄨㄟ4" - ], - "獪": [ - "ㄎㄨㄞ4", - "ㄏㄨㄚ2" - ], - "獫": [ - "ㄒㄧㄢ3" - ], - "獬": [ - "ㄒㄧㄝ4", - "ㄏㄚ3", - "ㄐㄧㄝ3" - ], - "獭": [ - "ㄊㄚ3" - ], - "獮": [ - "ㄒㄧㄢ3", - "ㄇㄧ2" - ], - "獯": [ - "ㄒㄩㄣ1" - ], - "獰": [ - "ㄋㄧㄥ2" - ], - "獱": [ - "ㄅㄧㄢ1" - ], - "獲": [ - "ㄏㄨㄛ4" - ], - "獳": [ - "ㄋㄡ4", - "ㄖㄨ2" - ], - "獴": [ - "ㄇㄥ3", - "ㄇㄥ2" - ], - "獵": [ - "ㄌㄧㄝ4" - ], - "獶": [ - "ㄋㄠ3", - "ㄧㄡ1", - "ㄋㄠ2" - ], - "獷": [ - "ㄍㄨㄤ3", - "ㄐㄧㄥ3" - ], - "獸": [ - "ㄕㄡ4" - ], - "獹": [ - "ㄌㄨ2" - ], - "獺": [ - "ㄊㄚ3" - ], - "獻": [ - "ㄒㄧㄢ4", - "ㄙㄨㄛ1", - "ㄒㄧ1" - ], - "獼": [ - "ㄇㄧ2" - ], - "獽": [ - "ㄖㄤ2" - ], - "獾": [ - "ㄏㄨㄢ1", - "ㄑㄩㄢ2" - ], - "獿": [ - "ㄋㄠ3", - "ㄋㄠ2" - ], - "玀": [ - "ㄌㄨㄛ2", - "ㄜ3" - ], - "玁": [ - "ㄒㄧㄢ3" - ], - "玂": [ - "ㄑㄧ2" - ], - "玃": [ - "ㄐㄩㄝ2" - ], - "玄": [ - "ㄒㄩㄢ2", - "ㄒㄩㄢ4" - ], - "玅": [ - "ㄇㄧㄠ4", - "ㄧㄠ1" - ], - "玆": [ - "ㄗ1", - "ㄒㄩㄢ2" - ], - "率": [ - "ㄌㄩ4", - "ㄕㄨㄞ4", - "ㄌㄩㄝ4" - ], - "玈": [ - "ㄌㄨ2" - ], - "玉": [ - "ㄩ4" - ], - "玊": [ - "ㄙㄨ4" - ], - "王": [ - "ㄨㄤ2", - "ㄨㄤ4", - "ㄩ4" - ], - "玌": [ - "ㄑㄧㄡ2" - ], - "玍": [ - "ㄍㄚ3" - ], - "玎": [ - "ㄉㄧㄥ1" - ], - "玏": [ - "ㄌㄜ4" - ], - "玐": [ - "ㄅㄚ1" - ], - "玑": [ - "ㄐㄧ1" - ], - "玒": [ - "ㄏㄨㄥ2" - ], - "玓": [ - "ㄉㄧ4" - ], - "玔": [ - "ㄔㄨㄢ4" - ], - "玕": [ - "ㄍㄢ1" - ], - "玖": [ - "ㄐㄧㄡ3" - ], - "玗": [ - "ㄩ2" - ], - "玘": [ - "ㄑㄧ3" - ], - "玙": [ - "ㄩ2" - ], - "玚": [ - "ㄔㄤ4", - "ㄧㄤ2" - ], - "玛": [ - "ㄇㄚ3" - ], - "玜": [ - "ㄏㄨㄥ2" - ], - "玝": [ - "ㄨ3" - ], - "玞": [ - "ㄈㄨ1" - ], - "玟": [ - "ㄨㄣ2", - "ㄇㄧㄣ2" - ], - "玠": [ - "ㄐㄧㄝ4" - ], - "玡": [ - "ㄧㄚ2", - "ㄧㄚ4" - ], - "玢": [ - "ㄅㄧㄣ1", - "ㄈㄣ1" - ], - "玣": [ - "ㄅㄧㄢ4" - ], - "玤": [ - "ㄅㄤ4" - ], - "玥": [ - "ㄩㄝ4" - ], - "玦": [ - "ㄐㄩㄝ2" - ], - "玧": [ - "ㄇㄣ2", - "ㄩㄣ3" - ], - "玨": [ - "ㄐㄩㄝ2" - ], - "玩": [ - "ㄨㄢ2" - ], - "玪": [ - "ㄐㄧㄢ1", - "ㄧㄣ2", - "ㄑㄧㄢ2", - "ㄌㄧㄣ2" - ], - "玫": [ - "ㄇㄟ2" - ], - "玬": [ - "ㄉㄢ3" - ], - "玭": [ - "ㄆㄧㄣ2" - ], - "玮": [ - "ㄨㄟ3" - ], - "环": [ - "ㄏㄨㄢ2" - ], - "现": [ - "ㄒㄧㄢ4" - ], - "玱": [ - "ㄑㄧㄤ1" - ], - "玲": [ - "ㄌㄧㄥ2" - ], - "玳": [ - "ㄉㄞ4" - ], - "玴": [ - "ㄧ4" - ], - "玵": [ - "ㄢ2", - "ㄍㄢ1" - ], - "玶": [ - "ㄆㄧㄥ2" - ], - "玷": [ - "ㄉㄧㄢ4", - "ㄉㄧㄢ1" - ], - "玸": [ - "ㄈㄨ2" - ], - "玹": [ - "ㄒㄩㄢ2", - "ㄒㄩㄢ4", - "ㄒㄧㄢ2" - ], - "玺": [ - "ㄒㄧ3" - ], - "玻": [ - "ㄅㄛ1" - ], - "玼": [ - "ㄘ3", - "ㄘ1", - "ㄘㄨㄛ1" - ], - "玽": [ - "ㄍㄡ3" - ], - "玾": [ - "ㄐㄧㄚ3" - ], - "玿": [ - "ㄕㄠ2" - ], - "珀": [ - "ㄆㄛ4" - ], - "珁": [ - "ㄘ2" - ], - "珂": [ - "ㄎㄜ1" - ], - "珃": [ - "ㄖㄢ3" - ], - "珄": [ - "ㄕㄥ1" - ], - "珅": [ - "ㄕㄣ1" - ], - "珆": [ - "ㄧ2", - "ㄊㄞ1" - ], - "珇": [ - "ㄗㄨ3", - "ㄐㄩ4" - ], - "珈": [ - "ㄐㄧㄚ1" - ], - "珉": [ - "ㄇㄧㄣ2" - ], - "珊": [ - "ㄕㄢ1" - ], - "珋": [ - "ㄌㄧㄡ3" - ], - "珌": [ - "ㄅㄧ4" - ], - "珍": [ - "ㄓㄣ1" - ], - "珎": [ - "ㄓㄣ1" - ], - "珏": [ - "ㄐㄩㄝ2" - ], - "珐": [ - "ㄈㄚ4" - ], - "珑": [ - "ㄌㄨㄥ2" - ], - "珒": [ - "ㄐㄧㄣ1" - ], - "珓": [ - "ㄐㄧㄠ4" - ], - "珔": [ - "ㄐㄧㄢ4" - ], - "珕": [ - "ㄌㄧ4" - ], - "珖": [ - "ㄍㄨㄤ1" - ], - "珗": [ - "ㄒㄧㄢ1" - ], - "珘": [ - "ㄓㄡ1" - ], - "珙": [ - "ㄍㄨㄥ3" - ], - "珚": [ - "ㄧㄢ1" - ], - "珛": [ - "ㄒㄧㄡ4" - ], - "珜": [ - "ㄧㄤ2" - ], - "珝": [ - "ㄒㄩ3" - ], - "珞": [ - "ㄌㄨㄛ4", - "ㄌㄧ4" - ], - "珟": [ - "ㄙㄨ4" - ], - "珠": [ - "ㄓㄨ1" - ], - "珡": [ - "ㄑㄧㄣ2" - ], - "珢": [ - "ㄧㄣ2", - "ㄎㄣ4" - ], - "珣": [ - "ㄒㄩㄣ2" - ], - "珤": [ - "ㄅㄠ3" - ], - "珥": [ - "ㄦ3" - ], - "珦": [ - "ㄒㄧㄤ4" - ], - "珧": [ - "ㄧㄠ2" - ], - "珨": [ - "ㄒㄧㄚ2" - ], - "珩": [ - "ㄏㄤ2", - "ㄏㄥ2" - ], - "珪": [ - "ㄍㄨㄟ1" - ], - "珫": [ - "ㄔㄨㄥ1" - ], - "珬": [ - "ㄒㄩ4" - ], - "班": [ - "ㄅㄢ1" - ], - "珮": [ - "ㄆㄟ4" - ], - "珯": [ - "ㄌㄠ3" - ], - "珰": [ - "ㄉㄤ1" - ], - "珱": [ - "ㄧㄥ1" - ], - "珲": [ - "ㄏㄨㄟ1", - "ㄏㄨㄣ2" - ], - "珳": [ - "ㄨㄣ2" - ], - "珴": [ - "ㄜ2" - ], - "珵": [ - "ㄔㄥ2", - "ㄊㄧㄥ3" - ], - "珶": [ - "ㄉㄧ4", - "ㄊㄧ2" - ], - "珷": [ - "ㄨ3", - "ㄨ4" - ], - "珸": [ - "ㄨ2" - ], - "珹": [ - "ㄔㄥ2" - ], - "珺": [ - "ㄐㄩㄣ4" - ], - "珻": [ - "ㄇㄟ2" - ], - "珼": [ - "ㄅㄟ4" - ], - "珽": [ - "ㄊㄧㄥ3" - ], - "現": [ - "ㄒㄧㄢ4" - ], - "珿": [ - "ㄔㄨ4" - ], - "琀": [ - "ㄏㄢ2" - ], - "琁": [ - "ㄒㄩㄢ2", - "ㄑㄩㄥ2" - ], - "琂": [ - "ㄧㄢ2" - ], - "球": [ - "ㄑㄧㄡ2" - ], - "琄": [ - "ㄒㄩㄢ4" - ], - "琅": [ - "ㄌㄤ2", - "ㄌㄤ4" - ], - "理": [ - "ㄌㄧ3" - ], - "琇": [ - "ㄒㄧㄡ4" - ], - "琈": [ - "ㄈㄨ2", - "ㄈㄨ1" - ], - "琉": [ - "ㄌㄧㄡ2" - ], - "琊": [ - "ㄧㄚ2" - ], - "琋": [ - "ㄒㄧ1" - ], - "琌": [ - "ㄌㄧㄥ2" - ], - "琍": [ - "ㄌㄧ2" - ], - "琎": [ - "ㄐㄧㄣ4" - ], - "琏": [ - "ㄌㄧㄢ3" - ], - "琐": [ - "ㄙㄨㄛ3" - ], - "琑": [ - "ㄙㄨㄛ3" - ], - "琒": [ - "ㄈㄥ1" - ], - "琓": [ - "ㄨㄢ2" - ], - "琔": [ - "ㄉㄧㄢ4" - ], - "琕": [ - "ㄆㄧㄣ2", - "ㄅㄧㄥ3" - ], - "琖": [ - "ㄓㄢ3" - ], - "琗": [ - "ㄙㄜ4", - "ㄘㄨㄟ4" - ], - "琘": [ - "ㄇㄧㄣ2" - ], - "琙": [ - "ㄩ4" - ], - "琚": [ - "ㄐㄩ1" - ], - "琛": [ - "ㄔㄣ1" - ], - "琜": [ - "ㄌㄞ2" - ], - "琝": [ - "ㄇㄧㄣ2" - ], - "琞": [ - "ㄕㄥ4", - "ㄨㄤ4" - ], - "琟": [ - "ㄨㄟ2", - "ㄩ4" - ], - "琠": [ - "ㄊㄧㄢ3", - "ㄊㄧㄢ4" - ], - "琡": [ - "ㄔㄨ4" - ], - "琢": [ - "ㄗㄨㄛ2", - "ㄓㄨㄛ2" - ], - "琣": [ - "ㄅㄥ3", - "ㄆㄟ3" - ], - "琤": [ - "ㄔㄥ1" - ], - "琥": [ - "ㄏㄨ3" - ], - "琦": [ - "ㄑㄧ2" - ], - "琧": [ - "ㄜ4" - ], - "琨": [ - "ㄎㄨㄣ1" - ], - "琩": [ - "ㄔㄤ1" - ], - "琪": [ - "ㄑㄧ2" - ], - "琫": [ - "ㄅㄥ3" - ], - "琬": [ - "ㄨㄢ3" - ], - "琭": [ - "ㄌㄨ4" - ], - "琮": [ - "ㄘㄨㄥ2" - ], - "琯": [ - "ㄍㄨㄢ3", - "ㄍㄨㄣ4", - "ㄍㄨㄢ1", - "ㄍㄨㄢ4" - ], - "琰": [ - "ㄧㄢ3" - ], - "琱": [ - "ㄉㄧㄠ1" - ], - "琲": [ - "ㄅㄟ4" - ], - "琳": [ - "ㄌㄧㄣ2" - ], - "琴": [ - "ㄑㄧㄣ2" - ], - "琵": [ - "ㄆㄧ2" - ], - "琶": [ - "ㄆㄚ2" - ], - "琷": [ - "ㄑㄩㄝ4" - ], - "琸": [ - "ㄓㄨㄛ2" - ], - "琹": [ - "ㄑㄧㄣ2" - ], - "琺": [ - "ㄈㄚ4" - ], - "琻": [ - "ㄐㄧㄣ1" - ], - "琼": [ - "ㄑㄩㄥ2" - ], - "琽": [ - "ㄉㄨ3" - ], - "琾": [ - "ㄐㄧㄝ4" - ], - "琿": [ - "ㄏㄨㄣ2", - "ㄏㄨㄟ1" - ], - "瑀": [ - "ㄩ3" - ], - "瑁": [ - "ㄇㄠ4" - ], - "瑂": [ - "ㄇㄟ2" - ], - "瑃": [ - "ㄔㄨㄣ1" - ], - "瑄": [ - "ㄒㄩㄢ1" - ], - "瑅": [ - "ㄊㄧ2" - ], - "瑆": [ - "ㄒㄧㄥ1" - ], - "瑇": [ - "ㄉㄞ4" - ], - "瑈": [ - "ㄖㄡ2" - ], - "瑉": [ - "ㄇㄧㄣ2" - ], - "瑊": [ - "ㄐㄧㄢ1" - ], - "瑋": [ - "ㄨㄟ3" - ], - "瑌": [ - "ㄖㄨㄢ3" - ], - "瑍": [ - "ㄏㄨㄢ4" - ], - "瑎": [ - "ㄒㄧㄝ2" - ], - "瑏": [ - "ㄔㄨㄢ1" - ], - "瑐": [ - "ㄐㄧㄢ3" - ], - "瑑": [ - "ㄓㄨㄢ4" - ], - "瑒": [ - "ㄔㄤ4", - "ㄧㄤ2", - "ㄉㄤ4" - ], - "瑓": [ - "ㄌㄧㄢ4" - ], - "瑔": [ - "ㄑㄩㄢ2" - ], - "瑕": [ - "ㄒㄧㄚ2" - ], - "瑖": [ - "ㄉㄨㄢ4" - ], - "瑗": [ - "ㄩㄢ4", - "ㄏㄨㄢ2" - ], - "瑘": [ - "ㄧㄚ2" - ], - "瑙": [ - "ㄋㄠ3" - ], - "瑚": [ - "ㄏㄨ2" - ], - "瑛": [ - "ㄧㄥ1" - ], - "瑜": [ - "ㄩ2" - ], - "瑝": [ - "ㄏㄨㄤ2" - ], - "瑞": [ - "ㄖㄨㄟ4" - ], - "瑟": [ - "ㄙㄜ4" - ], - "瑠": [ - "ㄌㄧㄡ2" - ], - "瑡": [ - "ㄕ1" - ], - "瑢": [ - "ㄖㄨㄥ2" - ], - "瑣": [ - "ㄙㄨㄛ3" - ], - "瑤": [ - "ㄧㄠ2" - ], - "瑥": [ - "ㄨㄣ1" - ], - "瑦": [ - "ㄨ3" - ], - "瑧": [ - "ㄓㄣ1" - ], - "瑨": [ - "ㄐㄧㄣ4" - ], - "瑩": [ - "ㄧㄥ2", - "ㄧㄥ3" - ], - "瑪": [ - "ㄇㄚ3" - ], - "瑫": [ - "ㄊㄠ1" - ], - "瑬": [ - "ㄌㄧㄡ2" - ], - "瑭": [ - "ㄊㄤ2" - ], - "瑮": [ - "ㄌㄧ4" - ], - "瑯": [ - "ㄌㄤ2" - ], - "瑰": [ - "ㄍㄨㄟ1" - ], - "瑱": [ - "ㄓㄣ4", - "ㄊㄧㄢ4" - ], - "瑲": [ - "ㄑㄧㄤ1", - "ㄔㄥ1", - "ㄘㄤ1" - ], - "瑳": [ - "ㄘㄨㄛ1" - ], - "瑴": [ - "ㄐㄩㄝ2" - ], - "瑵": [ - "ㄓㄠ3" - ], - "瑶": [ - "ㄧㄠ2" - ], - "瑷": [ - "ㄞ4" - ], - "瑸": [ - "ㄅㄧㄣ1" - ], - "瑹": [ - "ㄕㄨ1", - "ㄊㄨ1" - ], - "瑺": [ - "ㄔㄤ2" - ], - "瑻": [ - "ㄎㄨㄣ1" - ], - "瑼": [ - "ㄓㄨㄢ1" - ], - "瑽": [ - "ㄘㄨㄥ1" - ], - "瑾": [ - "ㄐㄧㄣ3", - "ㄐㄧㄣ4" - ], - "瑿": [ - "ㄧ1" - ], - "璀": [ - "ㄘㄨㄟ3" - ], - "璁": [ - "ㄘㄨㄥ1" - ], - "璂": [ - "ㄑㄧ2" - ], - "璃": [ - "ㄌㄧ2" - ], - "璄": [ - "ㄐㄧㄥ3" - ], - "璅": [ - "ㄙㄨㄛ3", - "ㄗㄠ3" - ], - "璆": [ - "ㄑㄧㄡ2" - ], - "璇": [ - "ㄒㄩㄢ2" - ], - "璈": [ - "ㄠ2" - ], - "璉": [ - "ㄌㄧㄢ3", - "ㄌㄧㄢ2" - ], - "璊": [ - "ㄇㄣ2" - ], - "璋": [ - "ㄓㄤ1" - ], - "璌": [ - "ㄧㄣ2" - ], - "璍": [ - "ㄧㄝ4" - ], - "璎": [ - "ㄧㄥ1" - ], - "璏": [ - "ㄨㄟ4", - "ㄓ4" - ], - "璐": [ - "ㄌㄨ4" - ], - "璑": [ - "ㄨ2" - ], - "璒": [ - "ㄉㄥ1" - ], - "璓": [ - "ㄒㄧㄡ4" - ], - "璔": [ - "ㄗㄥ1" - ], - "璕": [ - "ㄒㄩㄣ2" - ], - "璖": [ - "ㄑㄩ2" - ], - "璗": [ - "ㄉㄤ4" - ], - "璘": [ - "ㄌㄧㄣ2" - ], - "璙": [ - "ㄌㄧㄠ2" - ], - "璚": [ - "ㄑㄩㄥ2", - "ㄐㄩㄝ2" - ], - "璛": [ - "ㄙㄨ4" - ], - "璜": [ - "ㄏㄨㄤ2" - ], - "璝": [ - "ㄍㄨㄟ1" - ], - "璞": [ - "ㄆㄨ2" - ], - "璟": [ - "ㄐㄧㄥ3" - ], - "璠": [ - "ㄈㄢ2" - ], - "璡": [ - "ㄐㄧㄣ4", - "ㄐㄧㄣ1" - ], - "璢": [ - "ㄌㄧㄡ2" - ], - "璣": [ - "ㄐㄧ1" - ], - "璤": [ - "ㄏㄨㄟ4" - ], - "璥": [ - "ㄐㄧㄥ3" - ], - "璦": [ - "ㄞ4" - ], - "璧": [ - "ㄅㄧ4" - ], - "璨": [ - "ㄘㄢ4" - ], - "璩": [ - "ㄑㄩ2" - ], - "璪": [ - "ㄗㄠ3" - ], - "璫": [ - "ㄉㄤ1" - ], - "璬": [ - "ㄐㄧㄠ3" - ], - "璭": [ - "ㄍㄨㄣ4" - ], - "璮": [ - "ㄊㄢ3" - ], - "璯": [ - "ㄏㄨㄟ4", - "ㄎㄨㄞ4" - ], - "環": [ - "ㄏㄨㄢ2", - "ㄏㄨㄢ4" - ], - "璱": [ - "ㄙㄜ4" - ], - "璲": [ - "ㄙㄨㄟ4" - ], - "璳": [ - "ㄊㄧㄢ2" - ], - "璴": [ - "ㄔㄨ3" - ], - "璵": [ - "ㄩ2" - ], - "璶": [ - "ㄐㄧㄣ4" - ], - "璷": [ - "ㄌㄨ2", - "ㄈㄨ1" - ], - "璸": [ - "ㄅㄧㄣ1", - "ㄆㄧㄢ2" - ], - "璹": [ - "ㄕㄨ2" - ], - "璺": [ - "ㄨㄣ4" - ], - "璻": [ - "ㄗㄨㄟ3" - ], - "璼": [ - "ㄌㄢ2" - ], - "璽": [ - "ㄒㄧ3" - ], - "璾": [ - "ㄗ1", - "ㄐㄧ4" - ], - "璿": [ - "ㄒㄩㄢ2" - ], - "瓀": [ - "ㄖㄨㄢ3" - ], - "瓁": [ - "ㄨㄛ4" - ], - "瓂": [ - "ㄍㄞ4" - ], - "瓃": [ - "ㄌㄟ2" - ], - "瓄": [ - "ㄉㄨ2" - ], - "瓅": [ - "ㄌㄧ4" - ], - "瓆": [ - "ㄓ4" - ], - "瓇": [ - "ㄖㄡ2" - ], - "瓈": [ - "ㄌㄧ2", - "ㄌㄧ5" - ], - "瓉": [ - "ㄗㄢ4" - ], - "瓊": [ - "ㄑㄩㄥ2", - "ㄒㄩㄢ2" - ], - "瓋": [ - "ㄊㄧ4" - ], - "瓌": [ - "ㄍㄨㄟ1" - ], - "瓍": [ - "ㄙㄨㄟ2" - ], - "瓎": [ - "ㄌㄚ4" - ], - "瓏": [ - "ㄌㄨㄥ2" - ], - "瓐": [ - "ㄌㄨ2" - ], - "瓑": [ - "ㄌㄧ4" - ], - "瓒": [ - "ㄗㄢ4" - ], - "瓓": [ - "ㄌㄢ4" - ], - "瓔": [ - "ㄧㄥ1" - ], - "瓕": [ - "ㄇㄧ2", - "ㄒㄧ3" - ], - "瓖": [ - "ㄒㄧㄤ1" - ], - "瓗": [ - "ㄑㄩㄥ2", - "ㄨㄟ3", - "ㄨㄟ4" - ], - "瓘": [ - "ㄍㄨㄢ4" - ], - "瓙": [ - "ㄉㄠ4" - ], - "瓚": [ - "ㄗㄢ4" - ], - "瓛": [ - "ㄏㄨㄢ2", - "ㄧㄝ4", - "ㄧㄢ3" - ], - "瓜": [ - "ㄍㄨㄚ1" - ], - "瓝": [ - "ㄅㄛ2" - ], - "瓞": [ - "ㄉㄧㄝ2" - ], - "瓟": [ - "ㄅㄛ2", - "ㄆㄠ2" - ], - "瓠": [ - "ㄏㄨ4", - "ㄏㄨ2", - "ㄏㄨㄛ4", - "ㄍㄨ1" - ], - "瓡": [ - "ㄓ2", - "ㄏㄨ2" - ], - "瓢": [ - "ㄆㄧㄠ2" - ], - "瓣": [ - "ㄅㄢ4" - ], - "瓤": [ - "ㄖㄤ2" - ], - "瓥": [ - "ㄌㄧ4" - ], - "瓦": [ - "ㄨㄚ3", - "ㄨㄚ4" - ], - "瓨": [ - "ㄒㄧㄤ2", - "ㄏㄨㄥ2" - ], - "瓩": [ - "ㄑㄧㄢ1", - "ㄨㄚ3" - ], - "瓪": [ - "ㄅㄢ3" - ], - "瓫": [ - "ㄆㄣ2" - ], - "瓬": [ - "ㄈㄤ3" - ], - "瓭": [ - "ㄉㄢ3", - "ㄉㄢ1" - ], - "瓮": [ - "ㄨㄥ4" - ], - "瓯": [ - "ㄡ1" - ], - "瓲": [ - "ㄨㄚ5" - ], - "瓳": [ - "ㄏㄨ2" - ], - "瓴": [ - "ㄌㄧㄥ2" - ], - "瓵": [ - "ㄧ2" - ], - "瓶": [ - "ㄆㄧㄥ2" - ], - "瓷": [ - "ㄘ2" - ], - "瓸": [ - "ㄅㄞ3" - ], - "瓹": [ - "ㄐㄩㄢ1", - "ㄐㄩㄢ4" - ], - "瓺": [ - "ㄔㄤ2" - ], - "瓻": [ - "ㄔ1" - ], - "瓽": [ - "ㄉㄤ4" - ], - "瓾": [ - "ㄇㄥ3" - ], - "瓿": [ - "ㄅㄨ4", - "ㄆㄡ3" - ], - "甀": [ - "ㄓㄨㄟ4" - ], - "甁": [ - "ㄆㄧㄥ2" - ], - "甂": [ - "ㄅㄧㄢ1" - ], - "甃": [ - "ㄓㄡ4" - ], - "甄": [ - "ㄓㄣ1", - "ㄓㄣ4", - "ㄐㄩㄢ4" - ], - "甆": [ - "ㄘ2" - ], - "甇": [ - "ㄧㄥ1" - ], - "甈": [ - "ㄑㄧ4" - ], - "甉": [ - "ㄒㄧㄢ2" - ], - "甊": [ - "ㄌㄡ3" - ], - "甋": [ - "ㄉㄧ4" - ], - "甌": [ - "ㄡ1", - "ㄡ3" - ], - "甍": [ - "ㄇㄥ2" - ], - "甎": [ - "ㄓㄨㄢ1", - "ㄔㄨㄢ2" - ], - "甏": [ - "ㄅㄥ4" - ], - "甐": [ - "ㄌㄧㄣ4" - ], - "甑": [ - "ㄗㄥ4" - ], - "甒": [ - "ㄨ3" - ], - "甓": [ - "ㄆㄧ4" - ], - "甔": [ - "ㄉㄢ1", - "ㄉㄢ4" - ], - "甕": [ - "ㄨㄥ4" - ], - "甖": [ - "ㄧㄥ1" - ], - "甗": [ - "ㄧㄢ3" - ], - "甘": [ - "ㄍㄢ1", - "ㄏㄢ1" - ], - "甙": [ - "ㄉㄞ4" - ], - "甚": [ - "ㄕㄣ2", - "ㄕㄣ4" - ], - "甛": [ - "ㄊㄧㄢ2" - ], - "甜": [ - "ㄊㄧㄢ2" - ], - "甝": [ - "ㄏㄢ2" - ], - "甞": [ - "ㄔㄤ2" - ], - "生": [ - "ㄕㄥ1" - ], - "甠": [ - "ㄑㄧㄥ2" - ], - "甡": [ - "ㄕㄣ1" - ], - "產": [ - "ㄔㄢ3" - ], - "産": [ - "ㄔㄢ3" - ], - "甤": [ - "ㄖㄨㄟ2" - ], - "甥": [ - "ㄕㄥ1" - ], - "甦": [ - "ㄙㄨ1" - ], - "甧": [ - "ㄕㄣ1" - ], - "用": [ - "ㄩㄥ4" - ], - "甩": [ - "ㄕㄨㄞ3" - ], - "甪": [ - "ㄌㄨ4" - ], - "甫": [ - "ㄈㄨ3", - "ㄈㄨ1", - "ㄆㄨ3" - ], - "甬": [ - "ㄩㄥ3", - "ㄉㄨㄥ4" - ], - "甭": [ - "ㄅㄥ2", - "ㄑㄧ4" - ], - "甮": [ - "ㄈㄥ4" - ], - "甯": [ - "ㄋㄧㄥ2", - "ㄋㄧㄥ4" - ], - "田": [ - "ㄊㄧㄢ2" - ], - "由": [ - "ㄧㄡ2", - "ㄧㄠ1" - ], - "甲": [ - "ㄐㄧㄚ3" - ], - "申": [ - "ㄕㄣ1" - ], - "甴": [ - "ㄓㄚ2", - "ㄧㄡ2" - ], - "电": [ - "ㄉㄧㄢ4" - ], - "甶": [ - "ㄈㄨ2" - ], - "男": [ - "ㄋㄢ2" - ], - "甸": [ - "ㄉㄧㄢ1", - "ㄉㄧㄢ4", - "ㄊㄧㄢ2", - "ㄕㄥ4", - "ㄧㄥ4" - ], - "甹": [ - "ㄆㄧㄥ1" - ], - "町": [ - "ㄊㄧㄥ1", - "ㄉㄧㄥ1", - "ㄊㄧㄥ3", - "ㄓㄥ4", - "ㄊㄧㄢ3" - ], - "画": [ - "ㄏㄨㄚ4" - ], - "甼": [ - "ㄊㄧㄥ3" - ], - "甽": [ - "ㄓㄣ4", - "ㄑㄩㄢ3", - "ㄓㄨㄣ4" - ], - "甾": [ - "ㄗㄞ1", - "ㄗ1" - ], - "甿": [ - "ㄇㄥ2", - "ㄇㄤ2" - ], - "畀": [ - "ㄅㄧ4" - ], - "畁": [ - "ㄅㄧ4" - ], - "畂": [ - "ㄌㄧㄡ4" - ], - "畃": [ - "ㄒㄩㄣ2" - ], - "畄": [ - "ㄌㄧㄡ2" - ], - "畅": [ - "ㄔㄤ4" - ], - "畆": [ - "ㄇㄨ3" - ], - "畇": [ - "ㄩㄣ2", - "ㄊㄧㄢ2" - ], - "畈": [ - "ㄈㄢ4" - ], - "畉": [ - "ㄈㄨ2" - ], - "畊": [ - "ㄍㄥ1" - ], - "畋": [ - "ㄊㄧㄢ2" - ], - "界": [ - "ㄐㄧㄝ4" - ], - "畍": [ - "ㄐㄧㄝ4" - ], - "畎": [ - "ㄑㄩㄢ3" - ], - "畏": [ - "ㄨㄟ4", - "ㄨㄟ1", - "ㄨㄟ3" - ], - "畐": [ - "ㄈㄨ2", - "ㄅㄧ4" - ], - "畑": [ - "ㄊㄧㄢ2" - ], - "畒": [ - "ㄇㄨ3" - ], - "畓": [ - "ㄉㄨㄛ1" - ], - "畔": [ - "ㄆㄢ4" - ], - "畕": [ - "ㄐㄧㄤ1" - ], - "畖": [ - "ㄨㄚ1" - ], - "畗": [ - "ㄉㄚ2", - "ㄈㄨ2" - ], - "畘": [ - "ㄋㄢ2" - ], - "留": [ - "ㄌㄧㄡ2", - "ㄌㄧㄡ4", - "ㄌㄧㄡ3" - ], - "畚": [ - "ㄅㄣ3" - ], - "畛": [ - "ㄓㄣ3" - ], - "畜": [ - "ㄔㄨ4", - "ㄒㄩ4" - ], - "畝": [ - "ㄇㄨ3", - "ㄇㄡ3" - ], - "畞": [ - "ㄇㄨ3" - ], - "畟": [ - "ㄘㄜ4", - "ㄐㄧ4" - ], - "畠": [ - "ㄊㄧㄢ2" - ], - "畡": [ - "ㄍㄞ1" - ], - "畢": [ - "ㄅㄧ4" - ], - "畣": [ - "ㄉㄚ2" - ], - "畤": [ - "ㄓ4", - "ㄔㄡ2", - "ㄕ4" - ], - "略": [ - "ㄌㄩㄝ4" - ], - "畦": [ - "ㄑㄧ2" - ], - "畧": [ - "ㄌㄩㄝ4" - ], - "畨": [ - "ㄆㄢ1", - "ㄈㄢ1" - ], - "畩": [ - "ㄧ1" - ], - "番": [ - "ㄈㄢ1", - "ㄆㄢ1", - "ㄈㄢ2", - "ㄅㄛ1", - "ㄆㄛ2", - "ㄆㄢ2", - "ㄆㄢ4", - "ㄆㄧ2" - ], - "畫": [ - "ㄏㄨㄚ4" - ], - "畬": [ - "ㄕㄜ1", - "ㄩ2" - ], - "畭": [ - "ㄩ2" - ], - "畮": [ - "ㄇㄨ3" - ], - "畯": [ - "ㄐㄩㄣ4" - ], - "異": [ - "ㄧ4" - ], - "畱": [ - "ㄌㄧㄡ2" - ], - "畲": [ - "ㄕㄜ1" - ], - "畳": [ - "ㄉㄧㄝ2" - ], - "畴": [ - "ㄔㄡ2" - ], - "畵": [ - "ㄏㄨㄚ4" - ], - "當": [ - "ㄉㄤ1", - "ㄉㄤ4", - "ㄉㄤ5" - ], - "畷": [ - "ㄓㄨㄟ4" - ], - "畸": [ - "ㄐㄧ1", - "ㄑㄧ2" - ], - "畹": [ - "ㄨㄢ3", - "ㄩㄢ3" - ], - "畺": [ - "ㄐㄧㄤ1", - "ㄐㄧㄤ4" - ], - "畻": [ - "ㄔㄥ2" - ], - "畼": [ - "ㄔㄤ4" - ], - "畽": [ - "ㄊㄨㄣ3", - "ㄊㄨㄢ3" - ], - "畾": [ - "ㄌㄟ2" - ], - "畿": [ - "ㄐㄧ1" - ], - "疀": [ - "ㄔㄚ1" - ], - "疁": [ - "ㄌㄧㄡ2" - ], - "疂": [ - "ㄉㄧㄝ2" - ], - "疃": [ - "ㄊㄨㄢ3" - ], - "疄": [ - "ㄌㄧㄣ4", - "ㄌㄧㄣ2" - ], - "疅": [ - "ㄐㄧㄤ1" - ], - "疆": [ - "ㄐㄧㄤ1", - "ㄐㄧㄤ4" - ], - "疇": [ - "ㄔㄡ2" - ], - "疈": [ - "ㄆㄧ4" - ], - "疉": [ - "ㄉㄧㄝ2" - ], - "疊": [ - "ㄉㄧㄝ2" - ], - "疋": [ - "ㄆㄧ3", - "ㄕㄨ1", - "ㄧㄚ3" - ], - "疌": [ - "ㄐㄧㄝ2", - "ㄑㄧㄝ4" - ], - "疍": [ - "ㄉㄢ4" - ], - "疎": [ - "ㄕㄨ1" - ], - "疏": [ - "ㄕㄨ1" - ], - "疐": [ - "ㄓ4", - "ㄉㄧ4" - ], - "疑": [ - "ㄧ2", - "ㄋㄧㄥ2" - ], - "疒": [ - "ㄋㄜ4" - ], - "疓": [ - "ㄋㄞ3" - ], - "疔": [ - "ㄉㄧㄥ1", - "ㄋㄜ4" - ], - "疕": [ - "ㄅㄧ3" - ], - "疖": [ - "ㄐㄧㄝ1" - ], - "疗": [ - "ㄌㄧㄠ2" - ], - "疘": [ - "ㄍㄤ1", - "ㄍㄨㄥ1" - ], - "疙": [ - "ㄍㄜ1", - "ㄧ4" - ], - "疚": [ - "ㄐㄧㄡ4" - ], - "疛": [ - "ㄓㄡ3" - ], - "疜": [ - "ㄒㄧㄚ4" - ], - "疝": [ - "ㄕㄢ4" - ], - "疞": [ - "ㄒㄩ1" - ], - "疟": [ - "ㄋㄩㄝ4", - "ㄧㄠ4" - ], - "疠": [ - "ㄌㄧ4" - ], - "疡": [ - "ㄧㄤ2" - ], - "疢": [ - "ㄔㄣ4" - ], - "疣": [ - "ㄧㄡ2", - "ㄧㄡ4" - ], - "疤": [ - "ㄅㄚ1" - ], - "疥": [ - "ㄐㄧㄝ4" - ], - "疦": [ - "ㄐㄩㄝ2", - "ㄒㄩㄝ4" - ], - "疧": [ - "ㄑㄧ2" - ], - "疨": [ - "ㄒㄧㄚ1", - "ㄧㄚ2" - ], - "疩": [ - "ㄘㄨㄟ4" - ], - "疪": [ - "ㄅㄧ4" - ], - "疫": [ - "ㄧ4" - ], - "疬": [ - "ㄌㄧ4" - ], - "疭": [ - "ㄗㄨㄥ4" - ], - "疮": [ - "ㄔㄨㄤ1" - ], - "疯": [ - "ㄈㄥ1" - ], - "疰": [ - "ㄓㄨ4" - ], - "疱": [ - "ㄆㄠ4" - ], - "疲": [ - "ㄆㄧ2" - ], - "疳": [ - "ㄍㄢ1" - ], - "疴": [ - "ㄎㄜ1", - "ㄜ1", - "ㄑㄧㄚ4" - ], - "疵": [ - "ㄘ1", - "ㄗ1", - "ㄓㄞ4", - "ㄐㄧ4" - ], - "疶": [ - "ㄒㄩㄝ1" - ], - "疷": [ - "ㄓ1" - ], - "疸": [ - "ㄉㄢ3", - "ㄉㄚ5" - ], - "疹": [ - "ㄓㄣ3", - "ㄔㄣ4" - ], - "疺": [ - "ㄈㄚ2", - "ㄅㄧㄢ3" - ], - "疻": [ - "ㄓ3" - ], - "疼": [ - "ㄊㄥ2" - ], - "疽": [ - "ㄐㄩ1", - "ㄐㄩ3" - ], - "疾": [ - "ㄐㄧ2" - ], - "疿": [ - "ㄈㄟ4" - ], - "痀": [ - "ㄐㄩ1", - "ㄍㄡ1" - ], - "痁": [ - "ㄕㄢ1" - ], - "痂": [ - "ㄐㄧㄚ1" - ], - "痃": [ - "ㄒㄩㄢ2" - ], - "痄": [ - "ㄓㄚ4" - ], - "病": [ - "ㄅㄧㄥ4" - ], - "痆": [ - "ㄋㄧㄝ4", - "ㄋㄧ4", - "ㄋㄧㄢ3" - ], - "症": [ - "ㄓㄥ4", - "ㄓㄥ1" - ], - "痈": [ - "ㄩㄥ1" - ], - "痉": [ - "ㄐㄧㄥ4" - ], - "痊": [ - "ㄑㄩㄢ2" - ], - "痋": [ - "ㄊㄥ2", - "ㄔㄨㄥ2" - ], - "痌": [ - "ㄊㄨㄥ1", - "ㄊㄨㄥ2" - ], - "痍": [ - "ㄧ2" - ], - "痎": [ - "ㄐㄧㄝ1" - ], - "痏": [ - "ㄨㄟ3", - "ㄧㄡ4", - "ㄩ4" - ], - "痐": [ - "ㄏㄨㄟ2" - ], - "痑": [ - "ㄊㄢ1", - "ㄕ3" - ], - "痒": [ - "ㄧㄤ3", - "ㄧㄤ2" - ], - "痓": [ - "ㄔ4" - ], - "痔": [ - "ㄓ4" - ], - "痕": [ - "ㄏㄣ2", - "ㄍㄣ4" - ], - "痖": [ - "ㄧㄚ3" - ], - "痗": [ - "ㄇㄟ4" - ], - "痘": [ - "ㄉㄡ4" - ], - "痙": [ - "ㄐㄧㄥ4" - ], - "痚": [ - "ㄒㄧㄠ1" - ], - "痛": [ - "ㄊㄨㄥ4" - ], - "痜": [ - "ㄊㄨ1" - ], - "痝": [ - "ㄇㄤ2" - ], - "痞": [ - "ㄆㄧ3" - ], - "痟": [ - "ㄒㄧㄠ1" - ], - "痠": [ - "ㄙㄨㄢ1" - ], - "痡": [ - "ㄈㄨ1", - "ㄆㄨ1", - "ㄆㄨ4" - ], - "痢": [ - "ㄌㄧ4" - ], - "痣": [ - "ㄓ4" - ], - "痤": [ - "ㄘㄨㄛ2" - ], - "痥": [ - "ㄉㄨㄛ2" - ], - "痦": [ - "ㄨ4", - "ㄆㄧ1" - ], - "痧": [ - "ㄕㄚ1" - ], - "痨": [ - "ㄌㄠ2" - ], - "痩": [ - "ㄕㄡ4" - ], - "痪": [ - "ㄏㄨㄢ4", - "ㄊㄨㄢ3" - ], - "痫": [ - "ㄒㄧㄢ2" - ], - "痬": [ - "ㄧ4" - ], - "痭": [ - "ㄅㄥ1", - "ㄆㄥ2", - "ㄅㄧㄥ4" - ], - "痮": [ - "ㄓㄤ4" - ], - "痯": [ - "ㄍㄨㄢ3" - ], - "痰": [ - "ㄊㄢ2" - ], - "痱": [ - "ㄈㄟ4", - "ㄈㄟ2", - "ㄈㄟ3" - ], - "痲": [ - "ㄇㄚ2" - ], - "痳": [ - "ㄌㄧㄣ2", - "ㄌㄧㄣ4" - ], - "痴": [ - "ㄔ1" - ], - "痵": [ - "ㄐㄧ4" - ], - "痶": [ - "ㄊㄧㄢ3", - "ㄉㄧㄢ3" - ], - "痷": [ - "ㄢ1", - "ㄧㄝ4", - "ㄜ4" - ], - "痸": [ - "ㄔ4" - ], - "痹": [ - "ㄅㄧ4" - ], - "痺": [ - "ㄅㄧ4" - ], - "痻": [ - "ㄇㄧㄣ2" - ], - "痼": [ - "ㄍㄨ4" - ], - "痽": [ - "ㄉㄨㄟ1" - ], - "痾": [ - "ㄜ1", - "ㄎㄜ1" - ], - "痿": [ - "ㄨㄟ3" - ], - "瘀": [ - "ㄩ1" - ], - "瘁": [ - "ㄘㄨㄟ4" - ], - "瘂": [ - "ㄧㄚ3" - ], - "瘃": [ - "ㄓㄨ2" - ], - "瘄": [ - "ㄘㄨ4" - ], - "瘅": [ - "ㄉㄢ1", - "ㄉㄢ4" - ], - "瘆": [ - "ㄕㄣ4" - ], - "瘇": [ - "ㄓㄨㄥ3" - ], - "瘈": [ - "ㄔ4", - "ㄓ4" - ], - "瘉": [ - "ㄩ4" - ], - "瘊": [ - "ㄏㄡ2" - ], - "瘋": [ - "ㄈㄥ1" - ], - "瘌": [ - "ㄌㄚ4" - ], - "瘍": [ - "ㄧㄤ2", - "ㄉㄤ4" - ], - "瘎": [ - "ㄔㄣ2" - ], - "瘏": [ - "ㄊㄨ2" - ], - "瘐": [ - "ㄩ3", - "ㄩ4" - ], - "瘑": [ - "ㄍㄨㄛ1" - ], - "瘒": [ - "ㄨㄣ2" - ], - "瘓": [ - "ㄏㄨㄢ4" - ], - "瘔": [ - "ㄎㄨ4" - ], - "瘕": [ - "ㄐㄧㄚ3", - "ㄒㄧㄚ1" - ], - "瘖": [ - "ㄧㄣ1", - "ㄧㄣ4" - ], - "瘗": [ - "ㄧ4" - ], - "瘘": [ - "ㄌㄡ4" - ], - "瘙": [ - "ㄙㄠ4" - ], - "瘚": [ - "ㄐㄩㄝ2" - ], - "瘛": [ - "ㄔ4" - ], - "瘜": [ - "ㄒㄧ1" - ], - "瘝": [ - "ㄍㄨㄢ1" - ], - "瘞": [ - "ㄧ4" - ], - "瘟": [ - "ㄨㄣ1", - "ㄨㄛ4", - "ㄩㄣ1" - ], - "瘠": [ - "ㄐㄧ2" - ], - "瘡": [ - "ㄔㄨㄤ1" - ], - "瘢": [ - "ㄅㄢ1" - ], - "瘣": [ - "ㄏㄨㄟ4", - "ㄌㄟ3" - ], - "瘤": [ - "ㄌㄧㄡ2" - ], - "瘥": [ - "ㄔㄞ4", - "ㄘㄨㄛ2" - ], - "瘦": [ - "ㄕㄡ4" - ], - "瘧": [ - "ㄋㄩㄝ4", - "ㄧㄠ4" - ], - "瘨": [ - "ㄉㄧㄢ1", - "ㄔㄣ1" - ], - "瘩": [ - "ㄉㄚ1", - "ㄉㄚ5", - "ㄉㄚ2" - ], - "瘪": [ - "ㄅㄧㄝ3", - "ㄅㄧㄝ1" - ], - "瘫": [ - "ㄊㄢ1" - ], - "瘬": [ - "ㄓㄤ4" - ], - "瘭": [ - "ㄅㄧㄠ1" - ], - "瘮": [ - "ㄕㄣ4" - ], - "瘯": [ - "ㄘㄨ4" - ], - "瘰": [ - "ㄌㄨㄛ3" - ], - "瘱": [ - "ㄧ4" - ], - "瘲": [ - "ㄗㄨㄥ4" - ], - "瘳": [ - "ㄔㄡ1", - "ㄌㄨ4" - ], - "瘴": [ - "ㄓㄤ4" - ], - "瘵": [ - "ㄓㄞ4", - "ㄐㄧ4" - ], - "瘶": [ - "ㄙㄡ4" - ], - "瘷": [ - "ㄙㄜ4" - ], - "瘸": [ - "ㄑㄩㄝ2" - ], - "瘹": [ - "ㄉㄧㄠ4" - ], - "瘺": [ - "ㄌㄡ4" - ], - "瘻": [ - "ㄌㄡ4", - "ㄌㄩ2" - ], - "瘼": [ - "ㄇㄛ4" - ], - "瘽": [ - "ㄑㄧㄣ2" - ], - "瘾": [ - "ㄧㄣ3" - ], - "瘿": [ - "ㄧㄥ3" - ], - "癀": [ - "ㄏㄨㄤ2" - ], - "癁": [ - "ㄈㄨ2" - ], - "療": [ - "ㄌㄧㄠ2", - "ㄌㄧㄠ4", - "ㄕㄨㄛ4" - ], - "癃": [ - "ㄌㄨㄥ2" - ], - "癄": [ - "ㄑㄧㄠ2" - ], - "癅": [ - "ㄌㄧㄡ2" - ], - "癆": [ - "ㄌㄠ2", - "ㄌㄠ4" - ], - "癇": [ - "ㄒㄧㄢ2" - ], - "癈": [ - "ㄈㄟ4" - ], - "癉": [ - "ㄉㄢ1", - "ㄉㄢ4", - "ㄉㄢ3", - "ㄊㄢ2" - ], - "癊": [ - "ㄧㄣ4" - ], - "癋": [ - "ㄏㄜ4" - ], - "癌": [ - "ㄞ2", - "ㄧㄢ2" - ], - "癍": [ - "ㄅㄢ1" - ], - "癎": [ - "ㄒㄧㄢ2" - ], - "癏": [ - "ㄍㄨㄢ1" - ], - "癐": [ - "ㄍㄨㄟ4", - "ㄨㄟ1" - ], - "癑": [ - "ㄋㄨㄥ4", - "ㄋㄨㄥ2" - ], - "癒": [ - "ㄩ4" - ], - "癓": [ - "ㄨㄟ2" - ], - "癔": [ - "ㄧ4" - ], - "癕": [ - "ㄩㄥ1" - ], - "癖": [ - "ㄆㄧ3" - ], - "癗": [ - "ㄌㄟ3" - ], - "癘": [ - "ㄌㄧ4", - "ㄌㄞ4" - ], - "癙": [ - "ㄕㄨ3" - ], - "癚": [ - "ㄉㄢ4" - ], - "癛": [ - "ㄌㄧㄣ3", - "ㄅㄧㄥ3" - ], - "癜": [ - "ㄉㄧㄢ4" - ], - "癝": [ - "ㄌㄧㄣ3" - ], - "癞": [ - "ㄌㄞ4" - ], - "癟": [ - "ㄅㄧㄝ3", - "ㄅㄧㄝ2", - "ㄅㄧㄝ1" - ], - "癠": [ - "ㄐㄧ4" - ], - "癡": [ - "ㄔ1" - ], - "癢": [ - "ㄧㄤ3" - ], - "癣": [ - "ㄒㄩㄢ3" - ], - "癤": [ - "ㄐㄧㄝ1" - ], - "癥": [ - "ㄓㄥ1" - ], - "癦": [ - "ㄇㄜ5" - ], - "癧": [ - "ㄌㄧ4" - ], - "癨": [ - "ㄏㄨㄛ4" - ], - "癩": [ - "ㄌㄞ4", - "ㄌㄚ4" - ], - "癪": [ - "ㄐㄧ1" - ], - "癫": [ - "ㄉㄧㄢ1" - ], - "癬": [ - "ㄒㄩㄢ3" - ], - "癭": [ - "ㄧㄥ3" - ], - "癮": [ - "ㄧㄣ3" - ], - "癯": [ - "ㄑㄩ2" - ], - "癰": [ - "ㄩㄥ1" - ], - "癱": [ - "ㄊㄢ1" - ], - "癲": [ - "ㄉㄧㄢ1" - ], - "癳": [ - "ㄌㄨㄛ3" - ], - "癴": [ - "ㄌㄨㄢ2" - ], - "癵": [ - "ㄌㄨㄢ2" - ], - "癶": [ - "ㄅㄛ1" - ], - "癷": [ - "ㄅㄛ1" - ], - "癸": [ - "ㄍㄨㄟ3" - ], - "癹": [ - "ㄅㄚ2" - ], - "発": [ - "ㄈㄚ1" - ], - "登": [ - "ㄉㄥ1", - "ㄉㄜ2" - ], - "發": [ - "ㄈㄚ1", - "ㄅㄛ1" - ], - "白": [ - "ㄅㄞ2", - "ㄅㄛ2" - ], - "百": [ - "ㄅㄞ3", - "ㄅㄛ2", - "ㄇㄛ4" - ], - "癿": [ - "ㄑㄧㄝ2", - "ㄅㄧㄝ2" - ], - "皀": [ - "ㄐㄧ2", - "ㄒㄧㄤ1", - "ㄅㄧ1" - ], - "皁": [ - "ㄗㄠ4" - ], - "皂": [ - "ㄗㄠ4" - ], - "皃": [ - "ㄇㄠ4" - ], - "的": [ - "ㄉㄜ5", - "ㄉㄧ1", - "ㄉㄧ2", - "ㄉㄧ4" - ], - "皅": [ - "ㄆㄚ1", - "ㄅㄚ4" - ], - "皆": [ - "ㄐㄧㄝ1" - ], - "皇": [ - "ㄏㄨㄤ2", - "ㄨㄤ3" - ], - "皈": [ - "ㄍㄨㄟ1" - ], - "皉": [ - "ㄘ3" - ], - "皊": [ - "ㄌㄧㄥ2" - ], - "皋": [ - "ㄍㄠ1", - "ㄏㄠ2", - "ㄍㄨ1" - ], - "皌": [ - "ㄇㄛ4" - ], - "皍": [ - "ㄐㄧ2" - ], - "皎": [ - "ㄐㄧㄠ3" - ], - "皏": [ - "ㄆㄥ3" - ], - "皐": [ - "ㄍㄠ1" - ], - "皑": [ - "ㄞ2" - ], - "皒": [ - "ㄜ2" - ], - "皓": [ - "ㄏㄠ4", - "ㄏㄨㄟ1" - ], - "皔": [ - "ㄏㄢ4" - ], - "皕": [ - "ㄅㄧ4" - ], - "皖": [ - "ㄨㄢ3", - "ㄏㄨㄢ4" - ], - "皗": [ - "ㄔㄡ2" - ], - "皘": [ - "ㄑㄧㄢ4" - ], - "皙": [ - "ㄒㄧ1" - ], - "皚": [ - "ㄞ2" - ], - "皛": [ - "ㄒㄧㄠ3", - "ㄐㄧㄠ3", - "ㄆㄛ4" - ], - "皜": [ - "ㄏㄠ4" - ], - "皝": [ - "ㄏㄨㄤ4" - ], - "皞": [ - "ㄏㄠ4" - ], - "皟": [ - "ㄗㄜ2" - ], - "皠": [ - "ㄘㄨㄟ3" - ], - "皡": [ - "ㄏㄠ4" - ], - "皢": [ - "ㄒㄧㄠ3" - ], - "皣": [ - "ㄧㄝ4" - ], - "皤": [ - "ㄆㄛ2", - "ㄆㄢ2" - ], - "皥": [ - "ㄏㄠ4" - ], - "皦": [ - "ㄐㄧㄠ3" - ], - "皧": [ - "ㄞ4" - ], - "皨": [ - "ㄒㄧㄥ1" - ], - "皩": [ - "ㄏㄨㄤ4" - ], - "皪": [ - "ㄌㄧ4", - "ㄌㄨㄛ4", - "ㄅㄛ1" - ], - "皫": [ - "ㄆㄧㄠ3" - ], - "皬": [ - "ㄏㄜ2" - ], - "皭": [ - "ㄐㄧㄠ4" - ], - "皮": [ - "ㄆㄧ2" - ], - "皯": [ - "ㄍㄢ3" - ], - "皰": [ - "ㄆㄠ4" - ], - "皱": [ - "ㄓㄡ4" - ], - "皲": [ - "ㄐㄩㄣ1" - ], - "皳": [ - "ㄑㄧㄡ2" - ], - "皴": [ - "ㄘㄨㄣ1" - ], - "皵": [ - "ㄑㄩㄝ4" - ], - "皶": [ - "ㄓㄚ1" - ], - "皷": [ - "ㄍㄨ3" - ], - "皸": [ - "ㄐㄩㄣ1" - ], - "皹": [ - "ㄐㄩㄣ1" - ], - "皺": [ - "ㄓㄡ4", - "ㄓㄡ1" - ], - "皻": [ - "ㄓㄚ1", - "ㄘㄨ3" - ], - "皼": [ - "ㄍㄨ3" - ], - "皽": [ - "ㄓㄠ1", - "ㄓㄢ3", - "ㄉㄢ3" - ], - "皾": [ - "ㄉㄨ2" - ], - "皿": [ - "ㄇㄧㄣ3", - "ㄇㄧㄥ3" - ], - "盀": [ - "ㄑㄧ3" - ], - "盁": [ - "ㄧㄥ2" - ], - "盂": [ - "ㄩ2" - ], - "盃": [ - "ㄅㄟ1" - ], - "盄": [ - "ㄓㄠ1" - ], - "盅": [ - "ㄓㄨㄥ1", - "ㄔㄨㄥ1" - ], - "盆": [ - "ㄆㄣ2" - ], - "盇": [ - "ㄏㄜ2" - ], - "盈": [ - "ㄧㄥ2" - ], - "盉": [ - "ㄏㄜ2" - ], - "益": [ - "ㄧ4" - ], - "盋": [ - "ㄅㄛ1" - ], - "盌": [ - "ㄨㄢ3" - ], - "盍": [ - "ㄏㄜ2", - "ㄎㄜ3" - ], - "盎": [ - "ㄤ4" - ], - "盏": [ - "ㄓㄢ3" - ], - "盐": [ - "ㄧㄢ2" - ], - "监": [ - "ㄐㄧㄢ1", - "ㄐㄧㄢ4" - ], - "盒": [ - "ㄏㄜ2", - "ㄢ1" - ], - "盓": [ - "ㄩ1", - "ㄨ1" - ], - "盔": [ - "ㄎㄨㄟ1" - ], - "盕": [ - "ㄈㄢ4" - ], - "盖": [ - "ㄍㄞ4", - "ㄍㄜ3" - ], - "盗": [ - "ㄉㄠ4" - ], - "盘": [ - "ㄆㄢ2" - ], - "盙": [ - "ㄈㄨ3" - ], - "盚": [ - "ㄑㄧㄡ2" - ], - "盛": [ - "ㄕㄥ4", - "ㄔㄥ2" - ], - "盜": [ - "ㄉㄠ4" - ], - "盝": [ - "ㄌㄨ4" - ], - "盞": [ - "ㄓㄢ3" - ], - "盟": [ - "ㄇㄥ2", - "ㄇㄥ4", - "ㄇㄧㄥ2" - ], - "盠": [ - "ㄌㄧ2" - ], - "盡": [ - "ㄐㄧㄣ3", - "ㄐㄧㄣ4" - ], - "盢": [ - "ㄒㄩ4" - ], - "監": [ - "ㄐㄧㄢ1", - "ㄐㄧㄢ4", - "ㄎㄢ4" - ], - "盤": [ - "ㄆㄢ2", - "ㄒㄩㄢ2" - ], - "盥": [ - "ㄍㄨㄢ4" - ], - "盦": [ - "ㄢ1" - ], - "盧": [ - "ㄌㄨ2", - "ㄌㄩ2", - "ㄌㄟ2" - ], - "盨": [ - "ㄒㄩ3" - ], - "盩": [ - "ㄓㄡ1", - "ㄔㄡ2" - ], - "盪": [ - "ㄉㄤ4" - ], - "盫": [ - "ㄢ1" - ], - "盬": [ - "ㄍㄨ3", - "ㄍㄨ4", - "ㄍㄨ1" - ], - "盭": [ - "ㄌㄧ4" - ], - "目": [ - "ㄇㄨ4" - ], - "盯": [ - "ㄉㄧㄥ1", - "ㄔㄥ2" - ], - "盰": [ - "ㄍㄢ4" - ], - "盱": [ - "ㄒㄩ1" - ], - "盲": [ - "ㄇㄤ2" - ], - "盳": [ - "ㄨㄤ4", - "ㄇㄤ2" - ], - "直": [ - "ㄓ2" - ], - "盵": [ - "ㄑㄧ4" - ], - "盶": [ - "ㄩㄢ3" - ], - "盷": [ - "ㄊㄧㄢ2", - "ㄒㄧㄢ2", - "ㄇㄧㄣ2" - ], - "相": [ - "ㄒㄧㄤ1", - "ㄒㄧㄤ4" - ], - "盹": [ - "ㄉㄨㄣ3", - "ㄓㄨㄣ1" - ], - "盺": [ - "ㄒㄧㄣ1" - ], - "盻": [ - "ㄒㄧ4", - "ㄆㄢ3" - ], - "盼": [ - "ㄆㄢ4", - "ㄈㄣ2" - ], - "盽": [ - "ㄈㄥ1" - ], - "盾": [ - "ㄉㄨㄣ4", - "ㄕㄨㄣ3", - "ㄩㄣ3" - ], - "盿": [ - "ㄇㄧㄣ2" - ], - "眀": [ - "ㄇㄧㄥ2" - ], - "省": [ - "ㄕㄥ3", - "ㄒㄧㄥ3", - "ㄒㄧㄢ3" - ], - "眂": [ - "ㄕ4" - ], - "眃": [ - "ㄩㄣ2", - "ㄏㄨㄣ4" - ], - "眄": [ - "ㄇㄧㄢ3", - "ㄇㄧㄢ4" - ], - "眅": [ - "ㄆㄢ1" - ], - "眆": [ - "ㄈㄤ3" - ], - "眇": [ - "ㄇㄧㄠ3", - "ㄇㄧㄠ4" - ], - "眈": [ - "ㄉㄢ1", - "ㄔㄣ3" - ], - "眉": [ - "ㄇㄟ2" - ], - "眊": [ - "ㄇㄠ4", - "ㄇㄟ4" - ], - "看": [ - "ㄎㄢ4", - "ㄎㄢ1" - ], - "県": [ - "ㄒㄧㄢ4" - ], - "眍": [ - "ㄎㄡ1" - ], - "眎": [ - "ㄕ4" - ], - "眏": [ - "ㄧㄤ1", - "ㄧㄤ3", - "ㄧㄥ4" - ], - "眐": [ - "ㄓㄥ1" - ], - "眑": [ - "ㄧㄠ3", - "ㄠ1", - "ㄠ3" - ], - "眒": [ - "ㄕㄣ1" - ], - "眓": [ - "ㄏㄨㄛ4" - ], - "眔": [ - "ㄉㄚ4" - ], - "眕": [ - "ㄓㄣ3" - ], - "眖": [ - "ㄎㄨㄤ4" - ], - "眗": [ - "ㄐㄩ1", - "ㄒㄩ1", - "ㄎㄡ1" - ], - "眘": [ - "ㄕㄣ4" - ], - "眙": [ - "ㄧ2", - "ㄔ4" - ], - "眚": [ - "ㄕㄥ3" - ], - "眛": [ - "ㄇㄟ4" - ], - "眜": [ - "ㄇㄛ4", - "ㄇㄧㄝ4" - ], - "眝": [ - "ㄓㄨ4" - ], - "眞": [ - "ㄓㄣ1" - ], - "真": [ - "ㄓㄣ1" - ], - "眠": [ - "ㄇㄧㄢ2", - "ㄇㄧㄢ3", - "ㄇㄧㄣ3" - ], - "眡": [ - "ㄕ4" - ], - "眢": [ - "ㄩㄢ1" - ], - "眣": [ - "ㄉㄧㄝ2", - "ㄔㄡ1" - ], - "眤": [ - "ㄋㄧ4" - ], - "眥": [ - "ㄗ4" - ], - "眦": [ - "ㄗ4" - ], - "眧": [ - "ㄔㄠ3" - ], - "眨": [ - "ㄓㄚ3" - ], - "眩": [ - "ㄒㄩㄢ4", - "ㄏㄨㄢ4", - "ㄐㄩㄢ4" - ], - "眪": [ - "ㄅㄧㄥ3", - "ㄈㄤ3" - ], - "眫": [ - "ㄇㄧ3", - "ㄆㄢ4" - ], - "眬": [ - "ㄌㄨㄥ2" - ], - "眭": [ - "ㄙㄨㄟ1", - "ㄏㄨㄟ1", - "ㄒㄧㄝ2", - "ㄨㄟ4" - ], - "眮": [ - "ㄊㄨㄥ2" - ], - "眯": [ - "ㄇㄧ1", - "ㄇㄧ2", - "ㄇㄧ3", - "ㄇㄧ4" - ], - "眰": [ - "ㄉㄧㄝ4", - "ㄓ4" - ], - "眱": [ - "ㄉㄧ4" - ], - "眲": [ - "ㄋㄜ4" - ], - "眳": [ - "ㄇㄧㄥ2" - ], - "眴": [ - "ㄒㄩㄢ4", - "ㄕㄨㄣ4", - "ㄒㄩㄣ2" - ], - "眵": [ - "ㄔ1" - ], - "眶": [ - "ㄎㄨㄤ4" - ], - "眷": [ - "ㄐㄩㄢ4" - ], - "眸": [ - "ㄇㄡ2" - ], - "眹": [ - "ㄓㄣ4" - ], - "眺": [ - "ㄊㄧㄠ4" - ], - "眻": [ - "ㄧㄤ2" - ], - "眼": [ - "ㄧㄢ3", - "ㄨㄣ3" - ], - "眽": [ - "ㄇㄛ4", - "ㄇㄧ4" - ], - "眾": [ - "ㄓㄨㄥ4" - ], - "眿": [ - "ㄇㄛ4" - ], - "着": [ - "ㄓㄜ5", - "ㄓㄠ1", - "ㄓㄠ2", - "ㄓㄨㄛ2" - ], - "睁": [ - "ㄓㄥ1" - ], - "睂": [ - "ㄇㄟ2" - ], - "睃": [ - "ㄙㄨㄛ1", - "ㄐㄩㄣ4", - "ㄐㄩㄢ1" - ], - "睄": [ - "ㄕㄠ4", - "ㄑㄧㄠ2", - "ㄒㄧㄠ1" - ], - "睅": [ - "ㄏㄢ4" - ], - "睆": [ - "ㄏㄨㄢ4", - "ㄏㄨㄢ3" - ], - "睇": [ - "ㄉㄧ4", - "ㄊㄧ1", - "ㄊㄧ2" - ], - "睈": [ - "ㄔㄥ3" - ], - "睉": [ - "ㄘㄨㄛ2", - "ㄓㄨㄞ4" - ], - "睊": [ - "ㄐㄩㄢ4" - ], - "睋": [ - "ㄜ2" - ], - "睌": [ - "ㄇㄢ3" - ], - "睍": [ - "ㄒㄧㄢ4" - ], - "睎": [ - "ㄒㄧ1" - ], - "睏": [ - "ㄎㄨㄣ4" - ], - "睐": [ - "ㄌㄞ4" - ], - "睑": [ - "ㄐㄧㄢ3" - ], - "睒": [ - "ㄕㄢ3" - ], - "睓": [ - "ㄊㄧㄢ3" - ], - "睔": [ - "ㄍㄨㄣ4", - "ㄏㄨㄢ2", - "ㄌㄨㄣ3" - ], - "睕": [ - "ㄨㄢ3", - "ㄨㄢ4", - "ㄨㄢ1" - ], - "睖": [ - "ㄌㄥ4", - "ㄔㄥ1" - ], - "睗": [ - "ㄕ4" - ], - "睘": [ - "ㄑㄩㄥ2" - ], - "睙": [ - "ㄌㄧㄝ4" - ], - "睚": [ - "ㄧㄚ2" - ], - "睛": [ - "ㄐㄧㄥ1", - "ㄐㄧㄥ3" - ], - "睜": [ - "ㄓㄥ1" - ], - "睝": [ - "ㄌㄧ2" - ], - "睞": [ - "ㄌㄞ4" - ], - "睟": [ - "ㄙㄨㄟ4", - "ㄗㄨㄟ4" - ], - "睠": [ - "ㄐㄩㄢ4" - ], - "睡": [ - "ㄕㄨㄟ4" - ], - "睢": [ - "ㄙㄨㄟ1", - "ㄏㄨㄟ1", - "ㄨㄟ3" - ], - "督": [ - "ㄉㄨ1" - ], - "睤": [ - "ㄅㄧ4" - ], - "睥": [ - "ㄆㄧ4" - ], - "睦": [ - "ㄇㄨ4" - ], - "睧": [ - "ㄏㄨㄣ1" - ], - "睨": [ - "ㄋㄧ4" - ], - "睩": [ - "ㄌㄨ4" - ], - "睪": [ - "ㄧ4", - "ㄗㄜ2", - "ㄉㄨ4", - "ㄍㄠ1" - ], - "睫": [ - "ㄐㄧㄝ2", - "ㄕㄜ4" - ], - "睬": [ - "ㄘㄞ3" - ], - "睭": [ - "ㄓㄡ3" - ], - "睮": [ - "ㄩ2" - ], - "睯": [ - "ㄏㄨㄣ1" - ], - "睰": [ - "ㄇㄚ4" - ], - "睱": [ - "ㄒㄧㄚ4", - "ㄒㄧㄚ2" - ], - "睲": [ - "ㄒㄧㄥ3", - "ㄒㄧㄥ4" - ], - "睳": [ - "ㄏㄨㄟ1" - ], - "睴": [ - "ㄍㄨㄣ4" - ], - "睵": [ - "ㄗㄞ1" - ], - "睶": [ - "ㄔㄨㄣ3" - ], - "睷": [ - "ㄐㄧㄢ1" - ], - "睸": [ - "ㄇㄟ4" - ], - "睹": [ - "ㄉㄨ3" - ], - "睺": [ - "ㄏㄡ2" - ], - "睻": [ - "ㄒㄩㄢ1" - ], - "睼": [ - "ㄊㄧㄢ4" - ], - "睽": [ - "ㄎㄨㄟ2", - "ㄎㄨㄟ4", - "ㄐㄧ4" - ], - "睾": [ - "ㄍㄠ1", - "ㄏㄠ4" - ], - "睿": [ - "ㄖㄨㄟ4" - ], - "瞀": [ - "ㄇㄠ4", - "ㄨ2" - ], - "瞁": [ - "ㄒㄩ4" - ], - "瞂": [ - "ㄈㄚ2" - ], - "瞃": [ - "ㄨㄛ4" - ], - "瞄": [ - "ㄇㄧㄠ2" - ], - "瞅": [ - "ㄔㄡ3" - ], - "瞆": [ - "ㄎㄨㄟ4" - ], - "瞇": [ - "ㄇㄧ1", - "ㄇㄧ3", - "ㄇㄧ4" - ], - "瞈": [ - "ㄨㄥ3" - ], - "瞉": [ - "ㄎㄡ4", - "ㄐㄧ4" - ], - "瞊": [ - "ㄉㄤ4" - ], - "瞋": [ - "ㄔㄣ1", - "ㄊㄧㄢ2", - "ㄊㄧㄢ4", - "ㄕㄣ4" - ], - "瞌": [ - "ㄎㄜ1" - ], - "瞍": [ - "ㄙㄡ3" - ], - "瞎": [ - "ㄒㄧㄚ1" - ], - "瞏": [ - "ㄑㄩㄥ2", - "ㄏㄨㄢ2" - ], - "瞐": [ - "ㄇㄛ4" - ], - "瞑": [ - "ㄇㄧㄥ2", - "ㄇㄥ2", - "ㄇㄧㄢ2" - ], - "瞒": [ - "ㄇㄢ2" - ], - "瞓": [ - "ㄈㄣ4" - ], - "瞔": [ - "ㄗㄜ2" - ], - "瞕": [ - "ㄓㄤ4" - ], - "瞖": [ - "ㄧ4" - ], - "瞗": [ - "ㄉㄧㄠ1", - "ㄉㄡ1" - ], - "瞘": [ - "ㄎㄡ1" - ], - "瞙": [ - "ㄇㄛ4" - ], - "瞚": [ - "ㄕㄨㄣ4" - ], - "瞛": [ - "ㄘㄨㄥ1" - ], - "瞜": [ - "ㄌㄡ1", - "ㄌㄡ2", - "ㄌㄩ2" - ], - "瞝": [ - "ㄔ1" - ], - "瞞": [ - "ㄇㄢ2", - "ㄇㄣ2", - "ㄇㄣ4" - ], - "瞟": [ - "ㄆㄧㄠ3", - "ㄆㄧㄠ4", - "ㄆㄧㄠ1" - ], - "瞠": [ - "ㄔㄥ1", - "ㄓㄥ4" - ], - "瞡": [ - "ㄍㄨㄟ1" - ], - "瞢": [ - "ㄇㄥ2", - "ㄇㄤ2", - "ㄇㄥ4" - ], - "瞣": [ - "ㄨㄢ4" - ], - "瞤": [ - "ㄖㄨㄣ2", - "ㄕㄨㄣ4" - ], - "瞥": [ - "ㄆㄧㄝ1", - "ㄅㄧ4" - ], - "瞦": [ - "ㄒㄧ1" - ], - "瞧": [ - "ㄑㄧㄠ2" - ], - "瞨": [ - "ㄆㄨ2" - ], - "瞩": [ - "ㄓㄨ3" - ], - "瞪": [ - "ㄉㄥ4" - ], - "瞫": [ - "ㄕㄣ3" - ], - "瞬": [ - "ㄕㄨㄣ4" - ], - "瞭": [ - "ㄌㄧㄠ3", - "ㄌㄧㄠ4" - ], - "瞮": [ - "ㄔㄜ4" - ], - "瞯": [ - "ㄒㄧㄢ2", - "ㄐㄧㄢ4" - ], - "瞰": [ - "ㄎㄢ4" - ], - "瞱": [ - "ㄧㄝ4" - ], - "瞲": [ - "ㄒㄩ4", - "ㄒㄩㄝ4" - ], - "瞳": [ - "ㄊㄨㄥ2" - ], - "瞴": [ - "ㄇㄡ2", - "ㄨ3", - "ㄇㄧ2" - ], - "瞵": [ - "ㄌㄧㄣ2", - "ㄌㄧㄣ4", - "ㄌㄧㄢ2" - ], - "瞶": [ - "ㄍㄨㄟ4", - "ㄨㄟ4", - "ㄎㄨㄟ4" - ], - "瞷": [ - "ㄐㄧㄢ4", - "ㄒㄧㄢ2" - ], - "瞸": [ - "ㄧㄝ4" - ], - "瞹": [ - "ㄞ4" - ], - "瞺": [ - "ㄏㄨㄟ4" - ], - "瞻": [ - "ㄓㄢ1" - ], - "瞼": [ - "ㄐㄧㄢ3" - ], - "瞽": [ - "ㄍㄨ3" - ], - "瞾": [ - "ㄓㄠ4" - ], - "瞿": [ - "ㄑㄩ2", - "ㄐㄩ4", - "ㄐㄧ2" - ], - "矀": [ - "ㄇㄟ2" - ], - "矁": [ - "ㄔㄡ3" - ], - "矂": [ - "ㄙㄠ4" - ], - "矃": [ - "ㄋㄧㄥ3", - "ㄔㄥ1" - ], - "矄": [ - "ㄒㄩㄣ1" - ], - "矅": [ - "ㄧㄠ4" - ], - "矆": [ - "ㄏㄨㄛ4", - "ㄒㄩㄝ1", - "ㄩㄝ4", - "ㄨㄛ4" - ], - "矇": [ - "ㄇㄥ2", - "ㄇㄥ3", - "ㄇㄥ1" - ], - "矈": [ - "ㄇㄧㄢ2" - ], - "矉": [ - "ㄆㄧㄣ2" - ], - "矊": [ - "ㄇㄧㄢ2" - ], - "矋": [ - "ㄌㄟ3" - ], - "矌": [ - "ㄎㄨㄤ4", - "ㄍㄨㄛ1" - ], - "矍": [ - "ㄐㄩㄝ2" - ], - "矎": [ - "ㄒㄩㄢ1", - "ㄒㄩㄢ4" - ], - "矏": [ - "ㄇㄧㄢ2" - ], - "矐": [ - "ㄏㄨㄛ4" - ], - "矑": [ - "ㄌㄨ2" - ], - "矒": [ - "ㄇㄥ2" - ], - "矓": [ - "ㄌㄨㄥ2" - ], - "矔": [ - "ㄍㄨㄢ4", - "ㄑㄩㄢ2" - ], - "矕": [ - "ㄇㄢ3", - "ㄇㄢ2" - ], - "矖": [ - "ㄒㄧ3", - "ㄌㄧ2" - ], - "矗": [ - "ㄔㄨ4" - ], - "矘": [ - "ㄊㄤ3" - ], - "矙": [ - "ㄎㄢ4" - ], - "矚": [ - "ㄓㄨ3" - ], - "矛": [ - "ㄇㄠ2" - ], - "矜": [ - "ㄐㄧㄣ1", - "ㄑㄧㄣ2", - "ㄍㄨㄢ1" - ], - "矝": [ - "ㄐㄧㄣ1" - ], - "矞": [ - "ㄩ4", - "ㄐㄩㄝ2", - "ㄒㄩ4" - ], - "矟": [ - "ㄕㄨㄛ4" - ], - "矠": [ - "ㄗㄜ2", - "ㄓㄨㄛ2" - ], - "矡": [ - "ㄐㄩㄝ2" - ], - "矢": [ - "ㄕ3" - ], - "矣": [ - "ㄧ3", - "ㄒㄧㄢ2" - ], - "矤": [ - "ㄕㄣ3" - ], - "知": [ - "ㄓ1", - "ㄓ4" - ], - "矦": [ - "ㄏㄡ2" - ], - "矧": [ - "ㄕㄣ3" - ], - "矨": [ - "ㄧㄥ3" - ], - "矩": [ - "ㄐㄩ3" - ], - "矪": [ - "ㄓㄡ1" - ], - "矫": [ - "ㄐㄧㄠ3", - "ㄐㄧㄠ2" - ], - "矬": [ - "ㄘㄨㄛ2" - ], - "短": [ - "ㄉㄨㄢ3" - ], - "矮": [ - "ㄞ3" - ], - "矯": [ - "ㄐㄧㄠ3", - "ㄐㄧㄠ1", - "ㄐㄧㄠ2" - ], - "矰": [ - "ㄗㄥ1" - ], - "矱": [ - "ㄩㄝ1" - ], - "矲": [ - "ㄅㄚ4" - ], - "石": [ - "ㄕ2", - "ㄉㄢ4" - ], - "矴": [ - "ㄉㄧㄥ4" - ], - "矵": [ - "ㄑㄧ4", - "ㄉㄧㄠ1" - ], - "矶": [ - "ㄐㄧ1" - ], - "矷": [ - "ㄗ3" - ], - "矸": [ - "ㄍㄢ1", - "ㄍㄢ4", - "ㄍㄢ3", - "ㄏㄢ4" - ], - "矹": [ - "ㄨ4" - ], - "矺": [ - "ㄓㄜ2", - "ㄉㄚ1" - ], - "矻": [ - "ㄎㄨ1", - "ㄑㄧㄚ4" - ], - "矼": [ - "ㄍㄤ1", - "ㄎㄨㄥ4", - "ㄑㄧㄤ1" - ], - "矽": [ - "ㄒㄧ4", - "ㄒㄧ1" - ], - "矾": [ - "ㄈㄢ2" - ], - "矿": [ - "ㄎㄨㄤ4" - ], - "砀": [ - "ㄉㄤ4" - ], - "码": [ - "ㄇㄚ3" - ], - "砂": [ - "ㄕㄚ1" - ], - "砃": [ - "ㄉㄢ1" - ], - "砄": [ - "ㄐㄩㄝ2" - ], - "砅": [ - "ㄌㄧ4" - ], - "砆": [ - "ㄈㄨ1" - ], - "砇": [ - "ㄇㄧㄣ2" - ], - "砈": [ - "ㄜ3" - ], - "砉": [ - "ㄏㄨㄛ4", - "ㄏㄨㄚ1", - "ㄒㄩ1" - ], - "砊": [ - "ㄎㄤ1", - "ㄎㄤ4" - ], - "砋": [ - "ㄓ3" - ], - "砌": [ - "ㄑㄧ4", - "ㄑㄧㄝ4" - ], - "砍": [ - "ㄎㄢ3" - ], - "砎": [ - "ㄐㄧㄝ4" - ], - "砏": [ - "ㄅㄧㄣ1", - "ㄈㄣ1", - "ㄆㄧㄣ1" - ], - "砐": [ - "ㄜ4" - ], - "砑": [ - "ㄧㄚ4" - ], - "砒": [ - "ㄆㄧ1" - ], - "砓": [ - "ㄓㄜ2" - ], - "研": [ - "ㄧㄢ2", - "ㄧㄢ4", - "ㄒㄧㄥ2" - ], - "砕": [ - "ㄙㄨㄟ4" - ], - "砖": [ - "ㄓㄨㄢ1" - ], - "砗": [ - "ㄔㄜ1" - ], - "砘": [ - "ㄉㄨㄣ4" - ], - "砙": [ - "ㄨㄚ3" - ], - "砚": [ - "ㄧㄢ4" - ], - "砛": [ - "ㄐㄧㄣ1" - ], - "砜": [ - "ㄈㄥ1" - ], - "砝": [ - "ㄈㄚ2", - "ㄈㄚ3", - "ㄐㄧㄝ2", - "ㄍㄜ2" - ], - "砞": [ - "ㄇㄛ4" - ], - "砟": [ - "ㄓㄚ3", - "ㄓㄚ4", - "ㄗㄨㄛ2" - ], - "砠": [ - "ㄐㄩ1", - "ㄗㄨ1" - ], - "砡": [ - "ㄩ4" - ], - "砢": [ - "ㄎㄜ1", - "ㄌㄨㄛ3" - ], - "砣": [ - "ㄊㄨㄛ2" - ], - "砤": [ - "ㄊㄨㄛ2" - ], - "砥": [ - "ㄉㄧ3", - "ㄓ3" - ], - "砦": [ - "ㄓㄞ4" - ], - "砧": [ - "ㄓㄣ1" - ], - "砨": [ - "ㄜ4" - ], - "砩": [ - "ㄈㄨ2", - "ㄈㄟ4" - ], - "砪": [ - "ㄇㄨ3" - ], - "砫": [ - "ㄓㄨ4", - "ㄓㄨ3" - ], - "砬": [ - "ㄌㄚ2", - "ㄌㄧ4", - "ㄌㄚ1" - ], - "砭": [ - "ㄅㄧㄢ1" - ], - "砮": [ - "ㄋㄨ3", - "ㄋㄨ2" - ], - "砯": [ - "ㄆㄧㄥ1" - ], - "砰": [ - "ㄆㄥ1", - "ㄆㄧㄥ1", - "ㄆㄥ4" - ], - "砱": [ - "ㄌㄧㄥ2" - ], - "砲": [ - "ㄆㄠ4", - "ㄅㄠ2", - "ㄆㄨ1" - ], - "砳": [ - "ㄌㄜ4" - ], - "破": [ - "ㄆㄛ4" - ], - "砵": [ - "ㄅㄛ1", - "ㄜ4" - ], - "砶": [ - "ㄆㄛ4" - ], - "砷": [ - "ㄕㄣ1" - ], - "砸": [ - "ㄗㄚ2" - ], - "砹": [ - "ㄞ4" - ], - "砺": [ - "ㄌㄧ4" - ], - "砻": [ - "ㄌㄨㄥ2" - ], - "砼": [ - "ㄊㄨㄥ2" - ], - "砽": [ - "ㄩㄥ4" - ], - "砾": [ - "ㄌㄧ4" - ], - "砿": [ - "ㄎㄨㄤ4" - ], - "础": [ - "ㄔㄨ3" - ], - "硁": [ - "ㄎㄥ1" - ], - "硂": [ - "ㄑㄩㄢ2" - ], - "硃": [ - "ㄓㄨ1" - ], - "硄": [ - "ㄎㄨㄤ1", - "ㄍㄨㄤ1" - ], - "硅": [ - "ㄍㄨㄟ1", - "ㄏㄜ4" - ], - "硆": [ - "ㄜ4" - ], - "硇": [ - "ㄋㄠ2" - ], - "硈": [ - "ㄑㄧㄚ4" - ], - "硉": [ - "ㄌㄨ4" - ], - "硊": [ - "ㄨㄟ3", - "ㄏㄨㄟ4", - "ㄍㄨㄟ4" - ], - "硋": [ - "ㄞ4" - ], - "硌": [ - "ㄍㄜ4", - "ㄌㄨㄛ4", - "ㄌㄧ4" - ], - "硍": [ - "ㄒㄧㄢ4", - "ㄧㄣ2", - "ㄎㄣ4", - "ㄎㄥ1", - "ㄧㄣ3" - ], - "硎": [ - "ㄒㄧㄥ2", - "ㄎㄥ1" - ], - "硏": [ - "ㄧㄢ2", - "ㄧㄢ4" - ], - "硐": [ - "ㄉㄨㄥ4", - "ㄊㄨㄥ2", - "ㄌㄧㄡ2" - ], - "硑": [ - "ㄆㄥ1", - "ㄆㄧㄥ2" - ], - "硒": [ - "ㄒㄧ1" - ], - "硓": [ - "ㄌㄠ3" - ], - "硔": [ - "ㄏㄨㄥ2", - "ㄍㄨㄥ3" - ], - "硕": [ - "ㄕㄨㄛ4" - ], - "硖": [ - "ㄒㄧㄚ2" - ], - "硗": [ - "ㄑㄧㄠ1" - ], - "硘": [ - "ㄑㄧㄥ5" - ], - "硙": [ - "ㄨㄟ2", - "ㄨㄟ4" - ], - "硚": [ - "ㄑㄧㄠ2" - ], - "硛": [ - "ㄧ4" - ], - "硜": [ - "ㄎㄥ1", - "ㄑㄧㄥ4" - ], - "硝": [ - "ㄒㄧㄠ1", - "ㄑㄧㄠ4" - ], - "硞": [ - "ㄑㄩㄝ4", - "ㄎㄜ4", - "ㄎㄨ4" - ], - "硟": [ - "ㄔㄢ4" - ], - "硠": [ - "ㄌㄤ2" - ], - "硡": [ - "ㄏㄨㄥ1" - ], - "硢": [ - "ㄩ2" - ], - "硣": [ - "ㄒㄧㄠ1" - ], - "硤": [ - "ㄒㄧㄚ2" - ], - "硥": [ - "ㄇㄤ3", - "ㄅㄤ4" - ], - "硦": [ - "ㄌㄨㄛ4", - "ㄌㄨㄥ4" - ], - "硧": [ - "ㄩㄥ3", - "ㄊㄨㄥ2" - ], - "硨": [ - "ㄔㄜ1" - ], - "硩": [ - "ㄔㄜ4" - ], - "硪": [ - "ㄨㄛ4", - "ㄜ2", - "ㄧ3" - ], - "硫": [ - "ㄌㄧㄡ2", - "ㄔㄨ4" - ], - "硬": [ - "ㄧㄥ4", - "ㄍㄥ3" - ], - "硭": [ - "ㄇㄤ2" - ], - "确": [ - "ㄑㄩㄝ4" - ], - "硯": [ - "ㄧㄢ4" - ], - "硰": [ - "ㄕㄚ1" - ], - "硱": [ - "ㄎㄨㄣ3" - ], - "硲": [ - "ㄩ4" - ], - "硳": [ - "ㄔ4" - ], - "硴": [ - "ㄏㄨㄚ1" - ], - "硵": [ - "ㄌㄨ3" - ], - "硶": [ - "ㄔㄣ3", - "ㄘㄣ2" - ], - "硷": [ - "ㄐㄧㄢ3" - ], - "硸": [ - "ㄋㄩㄝ4" - ], - "硹": [ - "ㄙㄨㄥ1" - ], - "硺": [ - "ㄓㄨㄛ2" - ], - "硻": [ - "ㄎㄥ1", - "ㄎㄥ3" - ], - "硼": [ - "ㄆㄥ2", - "ㄆㄥ1" - ], - "硽": [ - "ㄧㄢ1", - "ㄧㄢ3" - ], - "硾": [ - "ㄓㄨㄟ4", - "ㄉㄨㄛ3" - ], - "硿": [ - "ㄎㄨㄥ1", - "ㄎㄨㄥ4" - ], - "碀": [ - "ㄔㄥ2" - ], - "碁": [ - "ㄑㄧ2" - ], - "碂": [ - "ㄗㄨㄥ4", - "ㄘㄨㄥ2" - ], - "碃": [ - "ㄑㄧㄥ4" - ], - "碄": [ - "ㄌㄧㄣ2" - ], - "碅": [ - "ㄐㄩㄣ1" - ], - "碆": [ - "ㄅㄛ1" - ], - "碇": [ - "ㄉㄧㄥ4" - ], - "碈": [ - "ㄇㄧㄣ2", - "ㄏㄨㄣ1" - ], - "碉": [ - "ㄉㄧㄠ1" - ], - "碊": [ - "ㄐㄧㄢ1", - "ㄓㄢ4" - ], - "碋": [ - "ㄏㄜ4" - ], - "碌": [ - "ㄌㄨ4", - "ㄌㄧㄡ4", - "ㄌㄨㄛ4" - ], - "碍": [ - "ㄞ4" - ], - "碎": [ - "ㄙㄨㄟ4" - ], - "碏": [ - "ㄑㄩㄝ4", - "ㄒㄧ1" - ], - "碐": [ - "ㄌㄥ2" - ], - "碑": [ - "ㄅㄟ1" - ], - "碒": [ - "ㄧㄣ2" - ], - "碓": [ - "ㄉㄨㄟ4", - "ㄉㄨㄟ1" - ], - "碔": [ - "ㄨ3" - ], - "碕": [ - "ㄑㄧ2", - "ㄑㄧ1", - "ㄑㄧ3" - ], - "碖": [ - "ㄌㄨㄣ3", - "ㄌㄨㄣ4", - "ㄌㄨㄣ2" - ], - "碗": [ - "ㄨㄢ3" - ], - "碘": [ - "ㄉㄧㄢ3" - ], - "碙": [ - "ㄋㄠ2", - "ㄍㄤ1" - ], - "碚": [ - "ㄅㄟ4" - ], - "碛": [ - "ㄑㄧ4" - ], - "碜": [ - "ㄔㄣ3" - ], - "碝": [ - "ㄖㄨㄢ3" - ], - "碞": [ - "ㄧㄢ2" - ], - "碟": [ - "ㄉㄧㄝ2", - "ㄕㄜ2" - ], - "碠": [ - "ㄉㄧㄥ4" - ], - "碡": [ - "ㄉㄨ2", - "ㄓㄡ2" - ], - "碢": [ - "ㄊㄨㄛ2" - ], - "碣": [ - "ㄐㄧㄝ2", - "ㄎㄜ3", - "ㄧㄚ4" - ], - "碤": [ - "ㄧㄥ1" - ], - "碥": [ - "ㄅㄧㄢ3" - ], - "碦": [ - "ㄎㄜ4" - ], - "碧": [ - "ㄅㄧ4" - ], - "碨": [ - "ㄨㄟ4", - "ㄨㄟ3" - ], - "碩": [ - "ㄕㄨㄛ4" - ], - "碪": [ - "ㄓㄣ1", - "ㄢ3", - "ㄎㄢ4" - ], - "碫": [ - "ㄉㄨㄢ4" - ], - "碬": [ - "ㄒㄧㄚ2" - ], - "碭": [ - "ㄉㄤ4" - ], - "碮": [ - "ㄊㄧ2", - "ㄉㄧ1" - ], - "碯": [ - "ㄋㄠ3" - ], - "碰": [ - "ㄆㄥ4" - ], - "碱": [ - "ㄐㄧㄢ3", - "ㄒㄧㄢ2" - ], - "碲": [ - "ㄉㄧ4" - ], - "碳": [ - "ㄊㄢ4" - ], - "碴": [ - "ㄔㄚ2", - "ㄔㄚ1" - ], - "碵": [ - "ㄊㄧㄢ2" - ], - "碶": [ - "ㄑㄧ4" - ], - "碷": [ - "ㄉㄨㄣ4" - ], - "碸": [ - "ㄈㄥ1" - ], - "碹": [ - "ㄒㄩㄢ4" - ], - "確": [ - "ㄑㄩㄝ4" - ], - "碻": [ - "ㄑㄩㄝ4", - "ㄑㄧㄠ1" - ], - "碼": [ - "ㄇㄚ3" - ], - "碽": [ - "ㄍㄨㄥ1" - ], - "碾": [ - "ㄋㄧㄢ3" - ], - "碿": [ - "ㄙㄨ4", - "ㄒㄧㄝ4" - ], - "磀": [ - "ㄜ2" - ], - "磁": [ - "ㄘ2" - ], - "磂": [ - "ㄌㄧㄡ2", - "ㄌㄧㄡ4" - ], - "磃": [ - "ㄙ1", - "ㄊㄧ2" - ], - "磄": [ - "ㄊㄤ2" - ], - "磅": [ - "ㄅㄤ4", - "ㄆㄤ2", - "ㄆㄤ1" - ], - "磆": [ - "ㄏㄨㄚ2", - "ㄎㄜ3", - "ㄍㄨ1" - ], - "磇": [ - "ㄆㄧ1" - ], - "磈": [ - "ㄨㄟ3", - "ㄎㄨㄟ3" - ], - "磉": [ - "ㄙㄤ3" - ], - "磊": [ - "ㄌㄟ3" - ], - "磋": [ - "ㄘㄨㄛ1" - ], - "磌": [ - "ㄊㄧㄢ2" - ], - "磍": [ - "ㄒㄧㄚ2", - "ㄑㄧㄚ4", - "ㄧㄚ4" - ], - "磎": [ - "ㄒㄧ1", - "ㄑㄧ1" - ], - "磏": [ - "ㄌㄧㄢ2", - "ㄑㄧㄢ1" - ], - "磐": [ - "ㄆㄢ2" - ], - "磑": [ - "ㄨㄟ2", - "ㄨㄟ4", - "ㄞ2", - "ㄍㄞ4" - ], - "磒": [ - "ㄩㄣ3" - ], - "磓": [ - "ㄉㄨㄟ1", - "ㄓㄨㄟ4" - ], - "磔": [ - "ㄓㄜ2" - ], - "磕": [ - "ㄎㄜ1", - "ㄎㄜ3" - ], - "磖": [ - "ㄌㄚ2", - "ㄌㄚ1" - ], - "磗": [ - "ㄓㄨㄢ1" - ], - "磘": [ - "ㄧㄠ2" - ], - "磙": [ - "ㄍㄨㄣ3" - ], - "磚": [ - "ㄓㄨㄢ1", - "ㄊㄨㄢ2", - "ㄊㄨㄛ2" - ], - "磛": [ - "ㄔㄢ2" - ], - "磜": [ - "ㄑㄧ4", - "ㄑㄧ1" - ], - "磝": [ - "ㄠ2", - "ㄑㄧㄠ1" - ], - "磞": [ - "ㄆㄥ1" - ], - "磟": [ - "ㄌㄧㄡ4", - "ㄌㄨ4" - ], - "磠": [ - "ㄌㄨ3" - ], - "磡": [ - "ㄎㄢ4" - ], - "磢": [ - "ㄔㄨㄤ3" - ], - "磣": [ - "ㄔㄣ3", - "ㄘㄚ4" - ], - "磤": [ - "ㄧㄣ3", - "ㄧㄣ1" - ], - "磥": [ - "ㄌㄟ3", - "ㄌㄟ2" - ], - "磦": [ - "ㄅㄧㄠ1" - ], - "磧": [ - "ㄑㄧ4" - ], - "磨": [ - "ㄇㄛ2", - "ㄇㄛ4" - ], - "磩": [ - "ㄑㄧ4", - "ㄓㄨ2" - ], - "磪": [ - "ㄘㄨㄟ1" - ], - "磫": [ - "ㄗㄨㄥ1" - ], - "磬": [ - "ㄑㄧㄥ4", - "ㄑㄧㄥ3" - ], - "磭": [ - "ㄔㄨㄛ4" - ], - "磮": [ - "ㄌㄨㄣ2" - ], - "磯": [ - "ㄐㄧ1" - ], - "磰": [ - "ㄕㄢ4" - ], - "磱": [ - "ㄌㄠ2" - ], - "磲": [ - "ㄑㄩ2" - ], - "磳": [ - "ㄗㄥ1" - ], - "磴": [ - "ㄉㄥ4", - "ㄉㄥ1" - ], - "磵": [ - "ㄐㄧㄢ4" - ], - "磶": [ - "ㄒㄧ4" - ], - "磷": [ - "ㄌㄧㄣ2", - "ㄌㄧㄣ4", - "ㄌㄧㄣ3", - "ㄌㄧㄥ2" - ], - "磸": [ - "ㄉㄧㄥ4" - ], - "磹": [ - "ㄊㄢ2", - "ㄉㄧㄢ4" - ], - "磺": [ - "ㄏㄨㄤ2", - "ㄎㄨㄤ4", - "ㄍㄨㄥ3" - ], - "磻": [ - "ㄆㄢ2", - "ㄅㄛ1" - ], - "磼": [ - "ㄗㄚ2", - "ㄕㄜ2" - ], - "磽": [ - "ㄑㄧㄠ1", - "ㄑㄧㄠ3", - "ㄑㄧㄠ4", - "ㄠ2" - ], - "磾": [ - "ㄉㄧ1" - ], - "磿": [ - "ㄌㄧ4" - ], - "礀": [ - "ㄐㄧㄢ4" - ], - "礁": [ - "ㄐㄧㄠ1" - ], - "礂": [ - "ㄒㄧ1" - ], - "礃": [ - "ㄓㄤ3" - ], - "礄": [ - "ㄑㄧㄠ2" - ], - "礅": [ - "ㄉㄨㄣ1" - ], - "礆": [ - "ㄐㄧㄢ3", - "ㄒㄧㄢ3" - ], - "礇": [ - "ㄩ4" - ], - "礈": [ - "ㄓㄨㄟ4" - ], - "礉": [ - "ㄏㄜ2", - "ㄑㄧㄠ1", - "ㄑㄧㄠ4", - "ㄠ2" - ], - "礊": [ - "ㄎㄜ4", - "ㄏㄨㄛ4" - ], - "礋": [ - "ㄗㄜ2" - ], - "礌": [ - "ㄌㄟ2", - "ㄌㄟ4", - "ㄌㄟ3" - ], - "礍": [ - "ㄐㄧㄝ2" - ], - "礎": [ - "ㄔㄨ3" - ], - "礏": [ - "ㄧㄝ4" - ], - "礐": [ - "ㄑㄩㄝ4", - "ㄏㄨ2" - ], - "礑": [ - "ㄉㄤ4" - ], - "礒": [ - "ㄧ3" - ], - "礓": [ - "ㄐㄧㄤ1" - ], - "礔": [ - "ㄆㄧ1" - ], - "礕": [ - "ㄆㄧ1" - ], - "礖": [ - "ㄩ4" - ], - "礗": [ - "ㄆㄧㄣ1" - ], - "礘": [ - "ㄜ4", - "ㄑㄧ4" - ], - "礙": [ - "ㄞ4", - "ㄧ2" - ], - "礚": [ - "ㄎㄜ1" - ], - "礛": [ - "ㄐㄧㄢ1" - ], - "礜": [ - "ㄩ4" - ], - "礝": [ - "ㄖㄨㄢ3" - ], - "礞": [ - "ㄇㄥ2" - ], - "礟": [ - "ㄆㄠ4" - ], - "礠": [ - "ㄘ2" - ], - "礡": [ - "ㄅㄛ2" - ], - "礢": [ - "ㄧㄤ3" - ], - "礣": [ - "ㄇㄚ4" - ], - "礤": [ - "ㄘㄚ3" - ], - "礥": [ - "ㄒㄧㄢ2", - "ㄒㄧㄣ2" - ], - "礦": [ - "ㄎㄨㄤ4", - "ㄍㄨㄥ3" - ], - "礧": [ - "ㄌㄟ2", - "ㄌㄟ4", - "ㄌㄟ3" - ], - "礨": [ - "ㄌㄟ3" - ], - "礩": [ - "ㄓ4" - ], - "礪": [ - "ㄌㄧ4" - ], - "礫": [ - "ㄌㄧ4", - "ㄌㄨㄛ4" - ], - "礬": [ - "ㄈㄢ2" - ], - "礭": [ - "ㄑㄩㄝ4" - ], - "礮": [ - "ㄆㄠ4" - ], - "礯": [ - "ㄧㄥ1" - ], - "礰": [ - "ㄌㄧ4" - ], - "礱": [ - "ㄌㄨㄥ2" - ], - "礲": [ - "ㄌㄨㄥ2" - ], - "礳": [ - "ㄇㄛ4" - ], - "礴": [ - "ㄅㄛ2" - ], - "礵": [ - "ㄕㄨㄤ1" - ], - "礶": [ - "ㄍㄨㄢ4" - ], - "礷": [ - "ㄌㄢ2" - ], - "礸": [ - "ㄘㄚ3" - ], - "礹": [ - "ㄧㄢ2", - "ㄧㄢ3" - ], - "示": [ - "ㄕ4", - "ㄑㄧ2", - "ㄓ4", - "ㄕ2" - ], - "礻": [ - "ㄕ4" - ], - "礼": [ - "ㄌㄧ3" - ], - "礽": [ - "ㄖㄥ2" - ], - "社": [ - "ㄕㄜ4" - ], - "礿": [ - "ㄩㄝ4" - ], - "祀": [ - "ㄙ4" - ], - "祁": [ - "ㄑㄧ2", - "ㄓ3" - ], - "祂": [ - "ㄊㄚ1" - ], - "祃": [ - "ㄇㄚ4" - ], - "祄": [ - "ㄒㄧㄝ4" - ], - "祅": [ - "ㄧㄠ1" - ], - "祆": [ - "ㄒㄧㄢ1" - ], - "祇": [ - "ㄑㄧ2", - "ㄔ2", - "ㄓ1", - "ㄓ3" - ], - "祈": [ - "ㄑㄧ2", - "ㄍㄨㄟ3" - ], - "祉": [ - "ㄓ3" - ], - "祊": [ - "ㄅㄥ1", - "ㄈㄤ1" - ], - "祋": [ - "ㄉㄨㄟ4" - ], - "祌": [ - "ㄓㄨㄥ4", - "ㄔㄨㄥ1" - ], - "祍": [ - "ㄖㄣ4" - ], - "祎": [ - "ㄧ1" - ], - "祏": [ - "ㄕ2" - ], - "祐": [ - "ㄧㄡ4" - ], - "祑": [ - "ㄓ4" - ], - "祒": [ - "ㄊㄧㄠ2" - ], - "祓": [ - "ㄈㄨ2", - "ㄈㄟ4" - ], - "祔": [ - "ㄈㄨ4" - ], - "祕": [ - "ㄇㄧ4", - "ㄅㄧ4" - ], - "祖": [ - "ㄗㄨ3", - "ㄐㄧㄝ1" - ], - "祗": [ - "ㄓ1" - ], - "祘": [ - "ㄙㄨㄢ4" - ], - "祙": [ - "ㄇㄟ4" - ], - "祚": [ - "ㄗㄨㄛ4" - ], - "祛": [ - "ㄑㄩ1" - ], - "祜": [ - "ㄏㄨ4" - ], - "祝": [ - "ㄓㄨ4", - "ㄓㄡ4", - "ㄔㄨ4" - ], - "神": [ - "ㄕㄣ2", - "ㄕㄣ1" - ], - "祟": [ - "ㄙㄨㄟ4" - ], - "祠": [ - "ㄘ2", - "ㄙ4" - ], - "祡": [ - "ㄔㄞ2" - ], - "祢": [ - "ㄇㄧ2", - "ㄋㄧ3" - ], - "祣": [ - "ㄌㄩ3" - ], - "祤": [ - "ㄩ3" - ], - "祥": [ - "ㄒㄧㄤ2" - ], - "祦": [ - "ㄨ2" - ], - "祧": [ - "ㄊㄧㄠ1" - ], - "票": [ - "ㄆㄧㄠ4", - "ㄆㄧㄠ1" - ], - "祩": [ - "ㄓㄨ4" - ], - "祪": [ - "ㄍㄨㄟ3" - ], - "祫": [ - "ㄒㄧㄚ2" - ], - "祬": [ - "ㄓ1" - ], - "祭": [ - "ㄐㄧ4", - "ㄓㄞ4" - ], - "祮": [ - "ㄍㄠ4" - ], - "祯": [ - "ㄓㄣ1" - ], - "祰": [ - "ㄍㄠ4" - ], - "祱": [ - "ㄕㄨㄟ4", - "ㄌㄟ4" - ], - "祲": [ - "ㄐㄧㄣ4" - ], - "祳": [ - "ㄕㄣ4" - ], - "祴": [ - "ㄍㄞ1" - ], - "祵": [ - "ㄎㄨㄣ3" - ], - "祶": [ - "ㄉㄧ4" - ], - "祷": [ - "ㄉㄠ3" - ], - "祸": [ - "ㄏㄨㄛ4" - ], - "祹": [ - "ㄊㄠ2" - ], - "祺": [ - "ㄑㄧ2" - ], - "祻": [ - "ㄍㄨ4" - ], - "祼": [ - "ㄍㄨㄢ4" - ], - "祽": [ - "ㄗㄨㄟ4" - ], - "祾": [ - "ㄌㄧㄥ2" - ], - "祿": [ - "ㄌㄨ4" - ], - "禀": [ - "ㄅㄧㄥ3" - ], - "禁": [ - "ㄐㄧㄣ4", - "ㄐㄧㄣ1" - ], - "禂": [ - "ㄉㄠ3" - ], - "禃": [ - "ㄓ2" - ], - "禄": [ - "ㄌㄨ4" - ], - "禅": [ - "ㄔㄢ2", - "ㄕㄢ4" - ], - "禆": [ - "ㄅㄧ4" - ], - "禇": [ - "ㄓㄜ3" - ], - "禈": [ - "ㄏㄨㄟ1" - ], - "禉": [ - "ㄧㄡ3" - ], - "禊": [ - "ㄒㄧ4" - ], - "禋": [ - "ㄧㄣ1" - ], - "禌": [ - "ㄗ1" - ], - "禍": [ - "ㄏㄨㄛ4" - ], - "禎": [ - "ㄓㄣ1", - "ㄓㄥ1" - ], - "福": [ - "ㄈㄨ2", - "ㄈㄨ4" - ], - "禐": [ - "ㄩㄢ4" - ], - "禑": [ - "ㄨ2" - ], - "禒": [ - "ㄒㄧㄢ3" - ], - "禓": [ - "ㄧㄤ2", - "ㄕㄤ1" - ], - "禔": [ - "ㄓ1" - ], - "禕": [ - "ㄧ1" - ], - "禖": [ - "ㄇㄟ2" - ], - "禗": [ - "ㄙ1" - ], - "禘": [ - "ㄉㄧ4" - ], - "禙": [ - "ㄅㄟ4" - ], - "禚": [ - "ㄓㄨㄛ2" - ], - "禛": [ - "ㄓㄣ1" - ], - "禜": [ - "ㄩㄥ3", - "ㄧㄥ2" - ], - "禝": [ - "ㄐㄧ4" - ], - "禞": [ - "ㄍㄠ4" - ], - "禟": [ - "ㄊㄤ2" - ], - "禠": [ - "ㄙ1" - ], - "禡": [ - "ㄇㄚ4" - ], - "禢": [ - "ㄊㄚ4" - ], - "禣": [ - "ㄈㄨ4" - ], - "禤": [ - "ㄒㄩㄢ1" - ], - "禥": [ - "ㄑㄧ2" - ], - "禦": [ - "ㄩ4" - ], - "禧": [ - "ㄒㄧ3", - "ㄒㄧ1" - ], - "禨": [ - "ㄐㄧ1", - "ㄐㄧ4", - "ㄑㄧ2" - ], - "禩": [ - "ㄙ4" - ], - "禪": [ - "ㄔㄢ2", - "ㄕㄢ4", - "ㄊㄢ2" - ], - "禫": [ - "ㄉㄢ4" - ], - "禬": [ - "ㄍㄨㄟ4" - ], - "禭": [ - "ㄙㄨㄟ4" - ], - "禮": [ - "ㄌㄧ3" - ], - "禯": [ - "ㄋㄨㄥ2" - ], - "禰": [ - "ㄇㄧ2", - "ㄋㄧ3", - "ㄒㄧㄢ3" - ], - "禱": [ - "ㄉㄠ3" - ], - "禲": [ - "ㄌㄧ4" - ], - "禳": [ - "ㄖㄤ2" - ], - "禴": [ - "ㄩㄝ4" - ], - "禵": [ - "ㄊㄧ2" - ], - "禶": [ - "ㄗㄢ4" - ], - "禷": [ - "ㄌㄟ4" - ], - "禸": [ - "ㄖㄡ2" - ], - "禹": [ - "ㄩ3" - ], - "禺": [ - "ㄩ2", - "ㄩ4" - ], - "离": [ - "ㄌㄧ2", - "ㄔ1" - ], - "禼": [ - "ㄒㄧㄝ4" - ], - "禽": [ - "ㄑㄧㄣ2" - ], - "禾": [ - "ㄏㄜ2" - ], - "禿": [ - "ㄊㄨ1" - ], - "秀": [ - "ㄒㄧㄡ4" - ], - "私": [ - "ㄙ1" - ], - "秂": [ - "ㄖㄣ2" - ], - "秃": [ - "ㄊㄨ1" - ], - "秄": [ - "ㄗ3", - "ㄗ4" - ], - "秅": [ - "ㄔㄚ2", - "ㄋㄚ2" - ], - "秆": [ - "ㄍㄢ3" - ], - "秇": [ - "ㄧ4", - "ㄓ2" - ], - "秈": [ - "ㄒㄧㄢ1" - ], - "秉": [ - "ㄅㄧㄥ3" - ], - "秊": [ - "ㄋㄧㄢ2" - ], - "秋": [ - "ㄑㄧㄡ1" - ], - "秌": [ - "ㄑㄧㄡ1" - ], - "种": [ - "ㄓㄨㄥ3", - "ㄔㄨㄥ2", - "ㄓㄨㄥ4" - ], - "秎": [ - "ㄈㄣ4" - ], - "秏": [ - "ㄏㄠ4", - "ㄇㄠ4" - ], - "秐": [ - "ㄩㄣ2" - ], - "科": [ - "ㄎㄜ1", - "ㄎㄜ4" - ], - "秒": [ - "ㄇㄧㄠ3" - ], - "秓": [ - "ㄓ1" - ], - "秔": [ - "ㄐㄧㄥ1" - ], - "秕": [ - "ㄅㄧ3" - ], - "秖": [ - "ㄓ1" - ], - "秗": [ - "ㄩ4" - ], - "秘": [ - "ㄇㄧ4", - "ㄅㄧ4", - "ㄅㄧㄝ2" - ], - "秙": [ - "ㄎㄨ4" - ], - "秚": [ - "ㄅㄢ4" - ], - "秛": [ - "ㄆㄧ1" - ], - "秜": [ - "ㄋㄧ2", - "ㄋㄧ4" - ], - "秝": [ - "ㄌㄧ4" - ], - "秞": [ - "ㄧㄡ2" - ], - "租": [ - "ㄗㄨ1", - "ㄐㄩ1" - ], - "秠": [ - "ㄆㄧ1" - ], - "秡": [ - "ㄅㄛ2" - ], - "秢": [ - "ㄌㄧㄥ2" - ], - "秣": [ - "ㄇㄛ4" - ], - "秤": [ - "ㄔㄥ4", - "ㄔㄥ1", - "ㄆㄧㄥ2" - ], - "秥": [ - "ㄋㄧㄢ2" - ], - "秦": [ - "ㄑㄧㄣ2" - ], - "秧": [ - "ㄧㄤ1" - ], - "秨": [ - "ㄗㄨㄛ2" - ], - "秩": [ - "ㄓ4" - ], - "秪": [ - "ㄓ1" - ], - "秫": [ - "ㄕㄨ2" - ], - "秬": [ - "ㄐㄩ4" - ], - "秭": [ - "ㄗ3" - ], - "秮": [ - "ㄏㄨㄛ2" - ], - "积": [ - "ㄐㄧ1", - "ㄓ3" - ], - "称": [ - "ㄔㄥ1", - "ㄔㄣ4", - "ㄔㄥ4" - ], - "秱": [ - "ㄊㄨㄥ2" - ], - "秲": [ - "ㄓ4", - "ㄕ4" - ], - "秳": [ - "ㄏㄨㄛ2", - "ㄎㄨㄛ4" - ], - "秴": [ - "ㄏㄜ2", - "ㄍㄜ2" - ], - "秵": [ - "ㄧㄣ1" - ], - "秶": [ - "ㄗ1" - ], - "秷": [ - "ㄓ4" - ], - "秸": [ - "ㄐㄧㄝ1", - "ㄐㄧ2" - ], - "秹": [ - "ㄖㄣ3" - ], - "秺": [ - "ㄉㄨ4" - ], - "移": [ - "ㄧ2", - "ㄔ3", - "ㄧ4" - ], - "秼": [ - "ㄓㄨ1" - ], - "秽": [ - "ㄏㄨㄟ4" - ], - "秾": [ - "ㄋㄨㄥ2" - ], - "秿": [ - "ㄈㄨ4", - "ㄅㄨ1", - "ㄆㄨ1" - ], - "稀": [ - "ㄒㄧ1" - ], - "稁": [ - "ㄍㄠ3" - ], - "稂": [ - "ㄌㄤ2" - ], - "稃": [ - "ㄈㄨ1" - ], - "稄": [ - "ㄒㄩㄣ4", - "ㄗㄜ4" - ], - "稅": [ - "ㄕㄨㄟ4" - ], - "稆": [ - "ㄌㄩ3" - ], - "稇": [ - "ㄎㄨㄣ3" - ], - "稈": [ - "ㄍㄢ3" - ], - "稉": [ - "ㄐㄧㄥ1" - ], - "稊": [ - "ㄊㄧ2" - ], - "程": [ - "ㄔㄥ2" - ], - "稌": [ - "ㄊㄨ2", - "ㄕㄨ3" - ], - "稍": [ - "ㄕㄠ1", - "ㄕㄠ4" - ], - "税": [ - "ㄕㄨㄟ4", - "ㄊㄨㄛ1", - "ㄊㄨㄟ4", - "ㄊㄨㄢ4" - ], - "稏": [ - "ㄧㄚ4" - ], - "稐": [ - "ㄌㄨㄣ3" - ], - "稑": [ - "ㄌㄨ4" - ], - "稒": [ - "ㄍㄨ4" - ], - "稓": [ - "ㄗㄨㄛ2" - ], - "稔": [ - "ㄖㄣ3" - ], - "稕": [ - "ㄓㄨㄣ4", - "ㄓㄨㄣ3" - ], - "稖": [ - "ㄅㄤ4" - ], - "稗": [ - "ㄅㄞ4" - ], - "稘": [ - "ㄐㄧ1", - "ㄑㄧ2" - ], - "稙": [ - "ㄓ1", - "ㄓ4" - ], - "稚": [ - "ㄓ4" - ], - "稛": [ - "ㄎㄨㄣ3" - ], - "稜": [ - "ㄌㄥ2", - "ㄌㄥ4", - "ㄌㄧㄥ2" - ], - "稝": [ - "ㄆㄥ2" - ], - "稞": [ - "ㄎㄜ1", - "ㄏㄨㄚ4" - ], - "稟": [ - "ㄅㄧㄥ3", - "ㄌㄧㄣ3" - ], - "稠": [ - "ㄔㄡ2", - "ㄊㄧㄠ2", - "ㄉㄧㄠ4" - ], - "稡": [ - "ㄗㄨㄟ4", - "ㄗㄨ2", - "ㄙㄨ1" - ], - "稢": [ - "ㄩ4" - ], - "稣": [ - "ㄙㄨ1" - ], - "稤": [ - "ㄌㄩㄝ4" - ], - "稥": [ - "ㄒㄧㄤ1" - ], - "稦": [ - "ㄧ1" - ], - "稧": [ - "ㄒㄧ4", - "ㄑㄧㄝ4" - ], - "稨": [ - "ㄅㄧㄢ3" - ], - "稩": [ - "ㄐㄧ4" - ], - "稪": [ - "ㄈㄨ2" - ], - "稫": [ - "ㄆㄧ4", - "ㄅㄧ4" - ], - "稬": [ - "ㄋㄨㄛ4" - ], - "稭": [ - "ㄐㄧㄝ1" - ], - "種": [ - "ㄓㄨㄥ3", - "ㄔㄨㄥ2", - "ㄓㄨㄥ4" - ], - "稯": [ - "ㄗㄨㄥ1", - "ㄗㄨㄥ3" - ], - "稰": [ - "ㄒㄩ3", - "ㄒㄩ1" - ], - "稱": [ - "ㄔㄥ1", - "ㄔㄣ4", - "ㄔㄥ4" - ], - "稲": [ - "ㄉㄠ4" - ], - "稳": [ - "ㄨㄣ3" - ], - "稴": [ - "ㄒㄧㄢ2", - "ㄐㄧㄢ1", - "ㄌㄧㄢ4", - "ㄌㄧㄢ3" - ], - "稵": [ - "ㄗ1", - "ㄐㄧㄡ1" - ], - "稶": [ - "ㄩ4" - ], - "稷": [ - "ㄐㄧ4", - "ㄗㄜ4" - ], - "稸": [ - "ㄒㄩ4" - ], - "稹": [ - "ㄓㄣ3", - "ㄓㄣ1", - "ㄅㄧㄢ1" - ], - "稺": [ - "ㄓ4" - ], - "稻": [ - "ㄉㄠ4" - ], - "稼": [ - "ㄐㄧㄚ4" - ], - "稽": [ - "ㄐㄧ1", - "ㄑㄧ3" - ], - "稾": [ - "ㄍㄠ3", - "ㄎㄠ4", - "ㄍㄠ4", - "ㄐㄧㄠ4" - ], - "稿": [ - "ㄍㄠ3" - ], - "穀": [ - "ㄍㄨ3" - ], - "穁": [ - "ㄖㄨㄥ2" - ], - "穂": [ - "ㄙㄨㄟ4" - ], - "穃": [ - "ㄖㄨㄥ5" - ], - "穄": [ - "ㄐㄧ4" - ], - "穅": [ - "ㄎㄤ1" - ], - "穆": [ - "ㄇㄨ4" - ], - "穇": [ - "ㄘㄢ3", - "ㄕㄢ1", - "ㄘㄣ1" - ], - "穈": [ - "ㄇㄟ2", - "ㄇㄣ2", - "ㄇㄧ2" - ], - "穉": [ - "ㄓ4", - "ㄔ2", - "ㄊㄧ2" - ], - "穊": [ - "ㄐㄧ4" - ], - "穋": [ - "ㄌㄨ4", - "ㄐㄧㄡ1" - ], - "穌": [ - "ㄙㄨ1" - ], - "積": [ - "ㄐㄧ1" - ], - "穎": [ - "ㄧㄥ3" - ], - "穏": [ - "ㄨㄣ3" - ], - "穐": [ - "ㄑㄧㄡ1" - ], - "穑": [ - "ㄙㄜ4" - ], - "穒": [ - "ㄏㄜ4" - ], - "穓": [ - "ㄧ4" - ], - "穔": [ - "ㄏㄨㄤ2" - ], - "穕": [ - "ㄑㄧㄝ4" - ], - "穖": [ - "ㄐㄧ3", - "ㄐㄧ4" - ], - "穗": [ - "ㄙㄨㄟ4" - ], - "穘": [ - "ㄒㄧㄠ1", - "ㄖㄠ4" - ], - "穙": [ - "ㄆㄨ2" - ], - "穚": [ - "ㄐㄧㄠ1" - ], - "穛": [ - "ㄓㄨㄛ1", - "ㄅㄛ2" - ], - "穜": [ - "ㄓㄨㄥ3", - "ㄊㄨㄥ2", - "ㄓㄨㄥ4" - ], - "穝": [ - "ㄗㄨㄟ5" - ], - "穞": [ - "ㄌㄩ3" - ], - "穟": [ - "ㄙㄨㄟ4" - ], - "穠": [ - "ㄋㄨㄥ2" - ], - "穡": [ - "ㄙㄜ4" - ], - "穢": [ - "ㄏㄨㄟ4" - ], - "穣": [ - "ㄖㄤ2" - ], - "穤": [ - "ㄋㄨㄛ4" - ], - "穥": [ - "ㄩ4", - "ㄩ3" - ], - "穦": [ - "ㄆㄧㄣ1" - ], - "穧": [ - "ㄐㄧ4", - "ㄗ4" - ], - "穨": [ - "ㄊㄨㄟ2" - ], - "穩": [ - "ㄨㄣ3" - ], - "穪": [ - "ㄔㄥ1", - "ㄅㄧㄝ2" - ], - "穫": [ - "ㄏㄨㄛ4", - "ㄏㄨ4" - ], - "穬": [ - "ㄎㄨㄤ4" - ], - "穭": [ - "ㄌㄩ3" - ], - "穮": [ - "ㄅㄧㄠ1", - "ㄆㄠ1" - ], - "穯": [ - "ㄙㄜ4" - ], - "穰": [ - "ㄖㄤ2", - "ㄖㄤ3", - "ㄖㄥ2" - ], - "穱": [ - "ㄓㄨㄛ1", - "ㄐㄩㄝ2" - ], - "穲": [ - "ㄌㄧ2" - ], - "穳": [ - "ㄘㄨㄢ2", - "ㄗㄢ4" - ], - "穴": [ - "ㄒㄩㄝ2", - "ㄐㄩㄝ2" - ], - "穵": [ - "ㄨㄚ1", - "ㄧㄚ4" - ], - "究": [ - "ㄐㄧㄡ1", - "ㄐㄧㄡ4" - ], - "穷": [ - "ㄑㄩㄥ2" - ], - "穸": [ - "ㄒㄧ1" - ], - "穹": [ - "ㄑㄩㄥ2", - "ㄑㄩㄥ1", - "ㄎㄨㄥ1" - ], - "空": [ - "ㄎㄨㄥ1", - "ㄎㄨㄥ4", - "ㄎㄨㄥ3" - ], - "穻": [ - "ㄩ1", - "ㄩ3" - ], - "穼": [ - "ㄕㄣ1" - ], - "穽": [ - "ㄐㄧㄥ3" - ], - "穾": [ - "ㄧㄠ4", - "ㄧㄠ3" - ], - "穿": [ - "ㄔㄨㄢ1", - "ㄔㄨㄢ4", - "ㄩㄢ1" - ], - "窀": [ - "ㄓㄨㄣ1", - "ㄊㄨㄣ2" - ], - "突": [ - "ㄊㄨ1" - ], - "窂": [ - "ㄌㄠ2" - ], - "窃": [ - "ㄑㄧㄝ4" - ], - "窄": [ - "ㄓㄞ3" - ], - "窅": [ - "ㄧㄠ3" - ], - "窆": [ - "ㄅㄧㄢ3" - ], - "窇": [ - "ㄅㄠ2" - ], - "窈": [ - "ㄧㄠ3", - "ㄧㄠ4" - ], - "窉": [ - "ㄅㄧㄥ3" - ], - "窊": [ - "ㄨㄚ1" - ], - "窋": [ - "ㄓㄨ2", - "ㄎㄨ1" - ], - "窌": [ - "ㄐㄧㄠ4", - "ㄆㄠ4", - "ㄌㄧㄠ2", - "ㄌㄧㄡ4" - ], - "窍": [ - "ㄑㄧㄠ4" - ], - "窎": [ - "ㄉㄧㄠ4" - ], - "窏": [ - "ㄨ1" - ], - "窐": [ - "ㄍㄨㄟ1", - "ㄨㄚ1" - ], - "窑": [ - "ㄧㄠ2" - ], - "窒": [ - "ㄓ4", - "ㄉㄧㄝ2" - ], - "窓": [ - "ㄔㄨㄤ1" - ], - "窔": [ - "ㄧㄠ4", - "ㄧㄠ3" - ], - "窕": [ - "ㄊㄧㄠ3", - "ㄊㄧㄠ1" - ], - "窖": [ - "ㄐㄧㄠ4", - "ㄗㄠ4" - ], - "窗": [ - "ㄔㄨㄤ1", - "ㄘㄨㄥ1" - ], - "窘": [ - "ㄐㄩㄥ3" - ], - "窙": [ - "ㄒㄧㄠ1" - ], - "窚": [ - "ㄔㄥ2" - ], - "窛": [ - "ㄎㄡ4" - ], - "窜": [ - "ㄘㄨㄢ4" - ], - "窝": [ - "ㄨㄛ1" - ], - "窞": [ - "ㄉㄢ4" - ], - "窟": [ - "ㄎㄨ1" - ], - "窠": [ - "ㄎㄜ1" - ], - "窡": [ - "ㄓㄨㄛ2" - ], - "窢": [ - "ㄒㄩ1" - ], - "窣": [ - "ㄙㄨ1" - ], - "窤": [ - "ㄍㄨㄢ1" - ], - "窥": [ - "ㄎㄨㄟ1" - ], - "窦": [ - "ㄉㄡ4" - ], - "窧": [ - "ㄓㄨㄛ5" - ], - "窨": [ - "ㄒㄩㄣ1", - "ㄧㄣ4", - "ㄧㄣ1" - ], - "窩": [ - "ㄨㄛ1" - ], - "窪": [ - "ㄨㄚ1" - ], - "窫": [ - "ㄧㄚ4", - "ㄧㄝ1" - ], - "窬": [ - "ㄩ2", - "ㄉㄡ1" - ], - "窭": [ - "ㄐㄩ4" - ], - "窮": [ - "ㄑㄩㄥ2" - ], - "窯": [ - "ㄧㄠ2", - "ㄧㄠ4", - "ㄑㄧㄠ1" - ], - "窰": [ - "ㄧㄠ2" - ], - "窱": [ - "ㄊㄧㄠ3" - ], - "窲": [ - "ㄔㄠ2" - ], - "窳": [ - "ㄩ3", - "ㄩ2" - ], - "窴": [ - "ㄊㄧㄢ2" - ], - "窵": [ - "ㄉㄧㄠ4" - ], - "窶": [ - "ㄐㄩ4", - "ㄌㄡ2" - ], - "窷": [ - "ㄌㄧㄠ4" - ], - "窸": [ - "ㄒㄧ1" - ], - "窹": [ - "ㄨ4" - ], - "窺": [ - "ㄎㄨㄟ1", - "ㄎㄨㄟ3" - ], - "窻": [ - "ㄔㄨㄤ1" - ], - "窼": [ - "ㄓㄠ1", - "ㄎㄜ1" - ], - "窽": [ - "ㄎㄨㄢ3" - ], - "窾": [ - "ㄎㄨㄢ3", - "ㄘㄨㄢ4" - ], - "窿": [ - "ㄌㄨㄥ2" - ], - "竀": [ - "ㄔㄥ1", - "ㄔㄥ4" - ], - "竁": [ - "ㄘㄨㄟ4" - ], - "竂": [ - "ㄌㄧㄠ2" - ], - "竃": [ - "ㄗㄠ4" - ], - "竄": [ - "ㄘㄨㄢ4", - "ㄘㄨㄢ1" - ], - "竅": [ - "ㄑㄧㄠ4" - ], - "竆": [ - "ㄑㄩㄥ2" - ], - "竇": [ - "ㄉㄡ4", - "ㄉㄨ2" - ], - "竈": [ - "ㄗㄠ4" - ], - "竉": [ - "ㄌㄨㄥ3" - ], - "竊": [ - "ㄑㄧㄝ4" - ], - "立": [ - "ㄌㄧ4", - "ㄨㄟ4" - ], - "竌": [ - "ㄔㄨ4" - ], - "竍": [ - "ㄕ2" - ], - "竎": [ - "ㄈㄨ4" - ], - "竏": [ - "ㄑㄧㄢ1" - ], - "竐": [ - "ㄔㄨ4" - ], - "竑": [ - "ㄏㄨㄥ2" - ], - "竒": [ - "ㄑㄧ2" - ], - "竓": [ - "ㄏㄠ2" - ], - "竔": [ - "ㄕㄥ1" - ], - "竕": [ - "ㄈㄣ1" - ], - "竖": [ - "ㄕㄨ4" - ], - "竗": [ - "ㄇㄧㄠ4" - ], - "竘": [ - "ㄑㄩ3", - "ㄎㄡ3" - ], - "站": [ - "ㄓㄢ4", - "ㄓㄢ1" - ], - "竚": [ - "ㄓㄨ4" - ], - "竛": [ - "ㄌㄧㄥ2" - ], - "竜": [ - "ㄌㄨㄥ2", - "ㄋㄥ2" - ], - "竝": [ - "ㄅㄧㄥ4" - ], - "竞": [ - "ㄐㄧㄥ4" - ], - "竟": [ - "ㄐㄧㄥ4" - ], - "章": [ - "ㄓㄤ1", - "ㄓㄤ4" - ], - "竡": [ - "ㄅㄞ3" - ], - "竢": [ - "ㄙ4" - ], - "竣": [ - "ㄐㄩㄣ4" - ], - "竤": [ - "ㄏㄨㄥ2" - ], - "童": [ - "ㄊㄨㄥ2", - "ㄓㄨㄥ1" - ], - "竦": [ - "ㄙㄨㄥ3" - ], - "竧": [ - "ㄐㄧㄥ4", - "ㄓㄣ3" - ], - "竨": [ - "ㄉㄧㄠ4" - ], - "竩": [ - "ㄧ4" - ], - "竪": [ - "ㄕㄨ4" - ], - "竫": [ - "ㄐㄧㄥ4" - ], - "竬": [ - "ㄑㄩ3" - ], - "竭": [ - "ㄐㄧㄝ2" - ], - "竮": [ - "ㄆㄧㄥ1" - ], - "端": [ - "ㄉㄨㄢ1" - ], - "竰": [ - "ㄌㄧ2" - ], - "竱": [ - "ㄓㄨㄢ3" - ], - "竲": [ - "ㄘㄥ2" - ], - "竳": [ - "ㄉㄥ1" - ], - "竴": [ - "ㄘㄨㄣ1" - ], - "竵": [ - "ㄨㄞ1", - "ㄏㄨㄚ1" - ], - "競": [ - "ㄐㄧㄥ4" - ], - "竷": [ - "ㄎㄢ3", - "ㄎㄢ4" - ], - "竸": [ - "ㄐㄧㄥ4" - ], - "竹": [ - "ㄓㄨ2" - ], - "竺": [ - "ㄓㄨ2", - "ㄉㄨ3" - ], - "竻": [ - "ㄌㄜ4", - "ㄐㄧㄣ1" - ], - "竼": [ - "ㄆㄥ2" - ], - "竽": [ - "ㄩ2" - ], - "竾": [ - "ㄔ2" - ], - "竿": [ - "ㄍㄢ1", - "ㄍㄢ4", - "ㄍㄢ3" - ], - "笀": [ - "ㄇㄤ2" - ], - "笁": [ - "ㄓㄨ2" - ], - "笂": [ - "ㄨㄢ2" - ], - "笃": [ - "ㄉㄨ3" - ], - "笄": [ - "ㄐㄧ1" - ], - "笅": [ - "ㄐㄧㄠ3" - ], - "笆": [ - "ㄅㄚ1" - ], - "笇": [ - "ㄙㄨㄢ4" - ], - "笈": [ - "ㄐㄧ2" - ], - "笉": [ - "ㄑㄧㄣ3" - ], - "笊": [ - "ㄓㄠ4" - ], - "笋": [ - "ㄙㄨㄣ3" - ], - "笌": [ - "ㄧㄚ2" - ], - "笍": [ - "ㄓㄨㄟ4", - "ㄖㄨㄟ4" - ], - "笎": [ - "ㄩㄢ2" - ], - "笏": [ - "ㄏㄨ4", - "ㄨㄣ3", - "ㄨ4" - ], - "笐": [ - "ㄏㄤ2", - "ㄏㄤ4" - ], - "笑": [ - "ㄒㄧㄠ4" - ], - "笒": [ - "ㄘㄣ2", - "ㄐㄧㄣ4", - "ㄏㄢ2" - ], - "笓": [ - "ㄅㄧ4", - "ㄆㄧ2", - "ㄅㄧ1" - ], - "笔": [ - "ㄅㄧ3" - ], - "笕": [ - "ㄐㄧㄢ3" - ], - "笖": [ - "ㄧ3" - ], - "笗": [ - "ㄉㄨㄥ1" - ], - "笘": [ - "ㄕㄢ1" - ], - "笙": [ - "ㄕㄥ1" - ], - "笚": [ - "ㄉㄚ1", - "ㄒㄧㄚ2", - "ㄋㄚ4" - ], - "笛": [ - "ㄉㄧ2" - ], - "笜": [ - "ㄓㄨ2" - ], - "笝": [ - "ㄋㄚ4" - ], - "笞": [ - "ㄔ1" - ], - "笟": [ - "ㄍㄨ1" - ], - "笠": [ - "ㄌㄧ4" - ], - "笡": [ - "ㄑㄧㄝ4" - ], - "笢": [ - "ㄇㄧㄣ3" - ], - "笣": [ - "ㄅㄠ1" - ], - "笤": [ - "ㄊㄧㄠ2", - "ㄕㄠ4" - ], - "笥": [ - "ㄙ4" - ], - "符": [ - "ㄈㄨ2" - ], - "笧": [ - "ㄘㄜ4", - "ㄕㄢ4" - ], - "笨": [ - "ㄅㄣ4" - ], - "笩": [ - "ㄈㄚ2" - ], - "笪": [ - "ㄉㄚ2" - ], - "笫": [ - "ㄗ3" - ], - "第": [ - "ㄉㄧ4" - ], - "笭": [ - "ㄌㄧㄥ2" - ], - "笮": [ - "ㄗㄜ2", - "ㄗㄨㄛ2", - "ㄓㄚ4" - ], - "笯": [ - "ㄋㄨ2" - ], - "笰": [ - "ㄈㄨ2", - "ㄈㄟ4" - ], - "笱": [ - "ㄍㄡ3" - ], - "笲": [ - "ㄈㄢ2" - ], - "笳": [ - "ㄐㄧㄚ1" - ], - "笴": [ - "ㄍㄢ3" - ], - "笵": [ - "ㄈㄢ4" - ], - "笶": [ - "ㄕ3" - ], - "笷": [ - "ㄇㄠ3" - ], - "笸": [ - "ㄆㄛ3" - ], - "笹": [ - "ㄊㄧ5" - ], - "笺": [ - "ㄐㄧㄢ1" - ], - "笻": [ - "ㄑㄩㄥ2" - ], - "笼": [ - "ㄌㄨㄥ2", - "ㄌㄨㄥ3" - ], - "笽": [ - "ㄇㄧㄣ3" - ], - "笾": [ - "ㄅㄧㄢ1" - ], - "笿": [ - "ㄌㄨㄛ4" - ], - "筀": [ - "ㄍㄨㄟ4" - ], - "筁": [ - "ㄑㄩ1" - ], - "筂": [ - "ㄔ2" - ], - "筃": [ - "ㄧㄣ1" - ], - "筄": [ - "ㄧㄠ4" - ], - "筅": [ - "ㄒㄧㄢ3" - ], - "筆": [ - "ㄅㄧ3" - ], - "筇": [ - "ㄑㄩㄥ2" - ], - "筈": [ - "ㄎㄨㄛ4" - ], - "等": [ - "ㄉㄥ3" - ], - "筊": [ - "ㄒㄧㄠ2", - "ㄐㄧㄠ3", - "ㄐㄧㄠ4" - ], - "筋": [ - "ㄐㄧㄣ1", - "ㄑㄧㄢ2" - ], - "筌": [ - "ㄑㄩㄢ2" - ], - "筍": [ - "ㄙㄨㄣ3", - "ㄩㄣ2", - "ㄒㄩㄣ4" - ], - "筎": [ - "ㄖㄨ2" - ], - "筏": [ - "ㄈㄚ2" - ], - "筐": [ - "ㄎㄨㄤ1" - ], - "筑": [ - "ㄓㄨ4", - "ㄓㄨ2" - ], - "筒": [ - "ㄊㄨㄥ3", - "ㄉㄨㄥ4", - "ㄊㄨㄥ2" - ], - "筓": [ - "ㄐㄧ1" - ], - "答": [ - "ㄉㄚ2", - "ㄉㄚ1" - ], - "筕": [ - "ㄏㄤ2" - ], - "策": [ - "ㄘㄜ4" - ], - "筗": [ - "ㄓㄨㄥ4" - ], - "筘": [ - "ㄎㄡ4" - ], - "筙": [ - "ㄌㄞ2" - ], - "筚": [ - "ㄅㄧ4" - ], - "筛": [ - "ㄕㄞ1" - ], - "筜": [ - "ㄉㄤ1" - ], - "筝": [ - "ㄓㄥ1" - ], - "筞": [ - "ㄘㄜ4" - ], - "筟": [ - "ㄈㄨ1" - ], - "筠": [ - "ㄩㄣ2", - "ㄐㄩㄣ1" - ], - "筡": [ - "ㄊㄨ2" - ], - "筢": [ - "ㄆㄚ2" - ], - "筣": [ - "ㄌㄧ2" - ], - "筤": [ - "ㄌㄤ2", - "ㄌㄤ4" - ], - "筥": [ - "ㄐㄩ3" - ], - "筦": [ - "ㄍㄨㄢ3" - ], - "筧": [ - "ㄐㄧㄢ3", - "ㄒㄧㄢ4" - ], - "筨": [ - "ㄏㄢ2" - ], - "筩": [ - "ㄊㄨㄥ2", - "ㄊㄨㄥ3", - "ㄩㄥ3", - "ㄉㄨㄥ4" - ], - "筪": [ - "ㄒㄧㄚ2" - ], - "筫": [ - "ㄓ4", - "ㄓ3" - ], - "筬": [ - "ㄔㄥ2" - ], - "筭": [ - "ㄙㄨㄢ4" - ], - "筮": [ - "ㄕ4" - ], - "筯": [ - "ㄓㄨ4" - ], - "筰": [ - "ㄗㄨㄛ2" - ], - "筱": [ - "ㄒㄧㄠ3" - ], - "筲": [ - "ㄕㄠ1" - ], - "筳": [ - "ㄊㄧㄥ2" - ], - "筴": [ - "ㄘㄜ4", - "ㄐㄧㄚ1", - "ㄐㄧㄚ2" - ], - "筵": [ - "ㄧㄢ2" - ], - "筶": [ - "ㄍㄠ4", - "ㄍㄠ3" - ], - "筷": [ - "ㄎㄨㄞ4" - ], - "筸": [ - "ㄍㄢ1" - ], - "筹": [ - "ㄔㄡ2" - ], - "筺": [ - "ㄎㄨㄤ1" - ], - "筻": [ - "ㄍㄤ4" - ], - "筼": [ - "ㄩㄣ2" - ], - "筽": [ - "ㄡ1", - "ㄨ2" - ], - "签": [ - "ㄑㄧㄢ1" - ], - "筿": [ - "ㄒㄧㄠ3" - ], - "简": [ - "ㄐㄧㄢ3" - ], - "箁": [ - "ㄆㄡ2", - "ㄅㄨ4", - "ㄈㄨ2", - "ㄆㄨ2" - ], - "箂": [ - "ㄌㄞ2" - ], - "箃": [ - "ㄗㄡ1" - ], - "箄": [ - "ㄅㄧ3", - "ㄅㄟ1", - "ㄅㄧ1", - "ㄅㄧ4", - "ㄆㄞ2" - ], - "箅": [ - "ㄅㄧ4" - ], - "箆": [ - "ㄅㄧ4" - ], - "箇": [ - "ㄍㄜ4" - ], - "箈": [ - "ㄊㄞ2", - "ㄔ2" - ], - "箉": [ - "ㄍㄨㄞ3", - "ㄉㄞ4" - ], - "箊": [ - "ㄩ1" - ], - "箋": [ - "ㄐㄧㄢ1" - ], - "箌": [ - "ㄉㄠ4", - "ㄓㄠ4" - ], - "箍": [ - "ㄍㄨ1" - ], - "箎": [ - "ㄔ2", - "ㄏㄨ3" - ], - "箏": [ - "ㄓㄥ1" - ], - "箐": [ - "ㄑㄧㄥ4", - "ㄐㄧㄥ1", - "ㄑㄧㄤ1" - ], - "箑": [ - "ㄕㄚ4", - "ㄓㄚ2" - ], - "箒": [ - "ㄓㄡ3" - ], - "箓": [ - "ㄌㄨ4" - ], - "箔": [ - "ㄅㄛ2" - ], - "箕": [ - "ㄐㄧ1" - ], - "箖": [ - "ㄌㄧㄣ2", - "ㄌㄧㄣ3" - ], - "算": [ - "ㄙㄨㄢ4" - ], - "箘": [ - "ㄐㄩㄣ4", - "ㄑㄩㄣ1" - ], - "箙": [ - "ㄈㄨ2" - ], - "箚": [ - "ㄓㄚ2" - ], - "箛": [ - "ㄍㄨ1" - ], - "箜": [ - "ㄎㄨㄥ1" - ], - "箝": [ - "ㄑㄧㄢ2" - ], - "箞": [ - "ㄑㄧㄢ1" - ], - "箟": [ - "ㄐㄩㄣ4" - ], - "箠": [ - "ㄔㄨㄟ2", - "ㄓㄨㄟ1" - ], - "管": [ - "ㄍㄨㄢ3" - ], - "箢": [ - "ㄩㄢ1", - "ㄨㄢ3" - ], - "箣": [ - "ㄘㄜ4" - ], - "箤": [ - "ㄗㄨ2" - ], - "箥": [ - "ㄅㄛ3" - ], - "箦": [ - "ㄗㄜ2" - ], - "箧": [ - "ㄑㄧㄝ4" - ], - "箨": [ - "ㄊㄨㄛ4" - ], - "箩": [ - "ㄌㄨㄛ2" - ], - "箪": [ - "ㄉㄢ1" - ], - "箫": [ - "ㄒㄧㄠ1" - ], - "箬": [ - "ㄖㄨㄛ4", - "ㄋㄚ4" - ], - "箭": [ - "ㄐㄧㄢ4" - ], - "箮": [ - "ㄒㄩㄢ1" - ], - "箯": [ - "ㄅㄧㄢ1" - ], - "箰": [ - "ㄙㄨㄣ3" - ], - "箱": [ - "ㄒㄧㄤ1" - ], - "箲": [ - "ㄒㄧㄢ3" - ], - "箳": [ - "ㄆㄧㄥ2" - ], - "箴": [ - "ㄓㄣ1", - "ㄐㄧㄢ3" - ], - "箵": [ - "ㄒㄧㄥ1", - "ㄒㄧㄥ3", - "ㄕㄥ3" - ], - "箶": [ - "ㄏㄨ2" - ], - "箷": [ - "ㄧ2", - "ㄕ1" - ], - "箸": [ - "ㄓㄨ4", - "ㄓㄨㄛ2" - ], - "箹": [ - "ㄩㄝ1", - "ㄧㄠ4", - "ㄔㄨㄛ4" - ], - "箺": [ - "ㄔㄨㄣ1" - ], - "箻": [ - "ㄌㄩ4" - ], - "箼": [ - "ㄨ1" - ], - "箽": [ - "ㄉㄨㄥ3" - ], - "箾": [ - "ㄕㄨㄛ4", - "ㄒㄧㄠ1", - "ㄑㄧㄠ4" - ], - "箿": [ - "ㄐㄧ2" - ], - "節": [ - "ㄐㄧㄝ2", - "ㄐㄧㄝ1" - ], - "篁": [ - "ㄏㄨㄤ2" - ], - "篂": [ - "ㄒㄧㄥ1" - ], - "篃": [ - "ㄇㄟ4" - ], - "範": [ - "ㄈㄢ4" - ], - "篅": [ - "ㄔㄨㄢ2", - "ㄉㄨㄢ1" - ], - "篆": [ - "ㄓㄨㄢ4" - ], - "篇": [ - "ㄆㄧㄢ1" - ], - "篈": [ - "ㄈㄥ1" - ], - "築": [ - "ㄓㄨ4", - "ㄓㄨ2" - ], - "篊": [ - "ㄏㄨㄤ2", - "ㄏㄨㄥ2" - ], - "篋": [ - "ㄑㄧㄝ4" - ], - "篌": [ - "ㄏㄡ2" - ], - "篍": [ - "ㄑㄧㄡ1" - ], - "篎": [ - "ㄇㄧㄠ3" - ], - "篏": [ - "ㄑㄧㄢ4" - ], - "篐": [ - "ㄍㄨ1" - ], - "篑": [ - "ㄎㄨㄟ4" - ], - "篒": [ - "ㄕ5" - ], - "篓": [ - "ㄌㄡ3" - ], - "篔": [ - "ㄩㄣ2", - "ㄒㄩㄣ1" - ], - "篕": [ - "ㄏㄜ2" - ], - "篖": [ - "ㄊㄤ2" - ], - "篗": [ - "ㄩㄝ4" - ], - "篘": [ - "ㄔㄡ1" - ], - "篙": [ - "ㄍㄠ1" - ], - "篚": [ - "ㄈㄟ3" - ], - "篛": [ - "ㄖㄨㄛ4" - ], - "篜": [ - "ㄓㄥ1" - ], - "篝": [ - "ㄍㄡ1" - ], - "篞": [ - "ㄋㄧㄝ4" - ], - "篟": [ - "ㄑㄧㄢ4" - ], - "篠": [ - "ㄒㄧㄠ3" - ], - "篡": [ - "ㄘㄨㄢ4" - ], - "篢": [ - "ㄌㄨㄥ3", - "ㄍㄨㄥ1", - "ㄍㄢ3" - ], - "篣": [ - "ㄆㄥ2", - "ㄆㄤ2" - ], - "篤": [ - "ㄉㄨ3" - ], - "篥": [ - "ㄌㄧ4" - ], - "篦": [ - "ㄅㄧ4", - "ㄆㄧ2" - ], - "篧": [ - "ㄓㄨㄛ2", - "ㄏㄨㄛ4" - ], - "篨": [ - "ㄔㄨ2" - ], - "篩": [ - "ㄕㄞ1", - "ㄕ1" - ], - "篪": [ - "ㄔ2" - ], - "篫": [ - "ㄓㄨ4" - ], - "篬": [ - "ㄑㄧㄤ1", - "ㄘㄤ1" - ], - "篭": [ - "ㄌㄨㄥ2" - ], - "篮": [ - "ㄌㄢ2" - ], - "篯": [ - "ㄐㄧㄢ1" - ], - "篰": [ - "ㄅㄨ4" - ], - "篱": [ - "ㄌㄧ2" - ], - "篲": [ - "ㄏㄨㄟ4", - "ㄙㄨㄟ4" - ], - "篳": [ - "ㄅㄧ4" - ], - "篴": [ - "ㄉㄧ2", - "ㄓㄨ2" - ], - "篵": [ - "ㄘㄨㄥ1" - ], - "篶": [ - "ㄧㄢ1" - ], - "篷": [ - "ㄆㄥ2" - ], - "篸": [ - "ㄘㄢ3", - "ㄘㄣ1", - "ㄗㄢ1" - ], - "篹": [ - "ㄓㄨㄢ4", - "ㄙㄨㄢ3", - "ㄗㄨㄢ3" - ], - "篺": [ - "ㄆㄧ2" - ], - "篻": [ - "ㄆㄧㄠ3", - "ㄅㄧㄠ1" - ], - "篼": [ - "ㄉㄡ1" - ], - "篽": [ - "ㄩ4" - ], - "篾": [ - "ㄇㄧㄝ4" - ], - "篿": [ - "ㄊㄨㄢ2", - "ㄓㄨㄢ1" - ], - "簀": [ - "ㄗㄜ2", - "ㄓㄞ4" - ], - "簁": [ - "ㄕㄞ1" - ], - "簂": [ - "ㄍㄨㄟ4", - "ㄍㄨㄛ2" - ], - "簃": [ - "ㄧ2" - ], - "簄": [ - "ㄏㄨ4" - ], - "簅": [ - "ㄔㄢ3" - ], - "簆": [ - "ㄎㄡ4" - ], - "簇": [ - "ㄘㄨ4", - "ㄔㄨㄛ4", - "ㄘㄡ4" - ], - "簈": [ - "ㄆㄧㄥ2" - ], - "簉": [ - "ㄗㄠ4", - "ㄔㄡ4" - ], - "簊": [ - "ㄐㄧ1" - ], - "簋": [ - "ㄍㄨㄟ3" - ], - "簌": [ - "ㄙㄨ4" - ], - "簍": [ - "ㄌㄡ3", - "ㄌㄩ3", - "ㄐㄩ4" - ], - "簎": [ - "ㄘㄜ4", - "ㄐㄧ2" - ], - "簏": [ - "ㄌㄨ4" - ], - "簐": [ - "ㄋㄧㄢ3" - ], - "簑": [ - "ㄙㄨㄛ1" - ], - "簒": [ - "ㄘㄨㄢ4" - ], - "簓": [ - "ㄉㄧㄠ1" - ], - "簔": [ - "ㄙㄨㄛ1" - ], - "簕": [ - "ㄌㄜ4" - ], - "簖": [ - "ㄉㄨㄢ4" - ], - "簗": [ - "ㄓㄨ4" - ], - "簘": [ - "ㄒㄧㄠ1" - ], - "簙": [ - "ㄅㄛ2" - ], - "簚": [ - "ㄇㄧ4" - ], - "簛": [ - "ㄕㄞ1", - "ㄙ1" - ], - "簜": [ - "ㄉㄤ4", - "ㄊㄤ1" - ], - "簝": [ - "ㄌㄧㄠ2" - ], - "簞": [ - "ㄉㄢ1" - ], - "簟": [ - "ㄉㄧㄢ4" - ], - "簠": [ - "ㄈㄨ3" - ], - "簡": [ - "ㄐㄧㄢ3" - ], - "簢": [ - "ㄇㄧㄣ3" - ], - "簣": [ - "ㄎㄨㄟ4" - ], - "簤": [ - "ㄉㄞ4" - ], - "簥": [ - "ㄐㄧㄠ1" - ], - "簦": [ - "ㄉㄥ1" - ], - "簧": [ - "ㄏㄨㄤ2" - ], - "簨": [ - "ㄙㄨㄣ3", - "ㄓㄨㄢ4" - ], - "簩": [ - "ㄌㄠ2" - ], - "簪": [ - "ㄗㄢ1", - "ㄗㄢ3" - ], - "簫": [ - "ㄒㄧㄠ1", - "ㄒㄧㄠ3" - ], - "簬": [ - "ㄌㄨ4" - ], - "簭": [ - "ㄕ4" - ], - "簮": [ - "ㄗㄢ1" - ], - "簯": [ - "ㄑㄧ5" - ], - "簰": [ - "ㄆㄞ2" - ], - "簱": [ - "ㄑㄧ2" - ], - "簲": [ - "ㄆㄞ2" - ], - "簳": [ - "ㄍㄢ3", - "ㄍㄢ4" - ], - "簴": [ - "ㄐㄩ4" - ], - "簵": [ - "ㄌㄨ4" - ], - "簶": [ - "ㄌㄨ4" - ], - "簷": [ - "ㄧㄢ2" - ], - "簸": [ - "ㄅㄛ3", - "ㄅㄛ4" - ], - "簹": [ - "ㄉㄤ1" - ], - "簺": [ - "ㄙㄞ4" - ], - "簻": [ - "ㄓㄨㄚ1", - "ㄎㄜ1" - ], - "簼": [ - "ㄍㄡ1" - ], - "簽": [ - "ㄑㄧㄢ1" - ], - "簾": [ - "ㄌㄧㄢ2" - ], - "簿": [ - "ㄅㄨ4", - "ㄅㄛ2" - ], - "籀": [ - "ㄓㄡ4" - ], - "籁": [ - "ㄌㄞ4" - ], - "籂": [ - "ㄕ5" - ], - "籃": [ - "ㄌㄢ2" - ], - "籄": [ - "ㄎㄨㄟ4" - ], - "籅": [ - "ㄩ2" - ], - "籆": [ - "ㄩㄝ4" - ], - "籇": [ - "ㄏㄠ2" - ], - "籈": [ - "ㄓㄣ1", - "ㄐㄧㄢ1" - ], - "籉": [ - "ㄊㄞ2" - ], - "籊": [ - "ㄊㄧ4" - ], - "籋": [ - "ㄋㄧㄝ4", - "ㄇㄧ2" - ], - "籌": [ - "ㄔㄡ2", - "ㄊㄠ2" - ], - "籍": [ - "ㄐㄧ2", - "ㄐㄧㄝ4" - ], - "籎": [ - "ㄧ2" - ], - "籏": [ - "ㄑㄧ2" - ], - "籐": [ - "ㄊㄥ2" - ], - "籑": [ - "ㄓㄨㄢ4", - "ㄗㄨㄢ3" - ], - "籒": [ - "ㄓㄡ4" - ], - "籓": [ - "ㄈㄢ1", - "ㄅㄢ1", - "ㄆㄢ1" - ], - "籔": [ - "ㄙㄡ3", - "ㄕㄨ3" - ], - "籕": [ - "ㄓㄡ4" - ], - "籖": [ - "ㄑㄧㄢ5" - ], - "籗": [ - "ㄓㄨㄛ2" - ], - "籘": [ - "ㄊㄥ2" - ], - "籙": [ - "ㄌㄨ4" - ], - "籚": [ - "ㄌㄨ2" - ], - "籛": [ - "ㄐㄧㄢ3", - "ㄐㄧㄢ1" - ], - "籜": [ - "ㄊㄨㄛ4" - ], - "籝": [ - "ㄧㄥ2" - ], - "籞": [ - "ㄩ4" - ], - "籟": [ - "ㄌㄞ4" - ], - "籠": [ - "ㄌㄨㄥ2", - "ㄌㄨㄥ3" - ], - "籡": [ - "ㄑㄧㄝ4" - ], - "籢": [ - "ㄌㄧㄢ2" - ], - "籣": [ - "ㄌㄢ2" - ], - "籤": [ - "ㄑㄧㄢ1" - ], - "籥": [ - "ㄩㄝ4" - ], - "籦": [ - "ㄓㄨㄥ1" - ], - "籧": [ - "ㄑㄩ2", - "ㄐㄩ3" - ], - "籨": [ - "ㄌㄧㄢ2" - ], - "籩": [ - "ㄅㄧㄢ1" - ], - "籪": [ - "ㄉㄨㄢ4" - ], - "籫": [ - "ㄗㄨㄢ3" - ], - "籬": [ - "ㄌㄧ2" - ], - "籭": [ - "ㄙ1" - ], - "籮": [ - "ㄌㄨㄛ2" - ], - "籯": [ - "ㄧㄥ2" - ], - "籰": [ - "ㄩㄝ4" - ], - "籱": [ - "ㄓㄨㄛ2" - ], - "籲": [ - "ㄩ4" - ], - "米": [ - "ㄇㄧ3" - ], - "籴": [ - "ㄉㄧ2", - "ㄗㄚ2" - ], - "籵": [ - "ㄈㄢ2" - ], - "籶": [ - "ㄕㄣ1" - ], - "籷": [ - "ㄓㄜ2" - ], - "籸": [ - "ㄕㄣ1" - ], - "籹": [ - "ㄋㄩ3" - ], - "籺": [ - "ㄏㄜ2" - ], - "类": [ - "ㄌㄟ4" - ], - "籼": [ - "ㄒㄧㄢ1" - ], - "籽": [ - "ㄗ3" - ], - "籾": [ - "ㄋㄧ2" - ], - "籿": [ - "ㄘㄨㄣ4" - ], - "粀": [ - "ㄓㄤ4" - ], - "粁": [ - "ㄑㄧㄢ1" - ], - "粂": [ - "ㄓㄞ1" - ], - "粃": [ - "ㄅㄧ3", - "ㄆㄧ1" - ], - "粄": [ - "ㄅㄢ3" - ], - "粅": [ - "ㄨ4" - ], - "粆": [ - "ㄕㄚ1", - "ㄔㄠ3" - ], - "粇": [ - "ㄎㄤ1", - "ㄐㄧㄥ1" - ], - "粈": [ - "ㄖㄡ2" - ], - "粉": [ - "ㄈㄣ3" - ], - "粊": [ - "ㄅㄧ4" - ], - "粋": [ - "ㄘㄨㄟ4" - ], - "粌": [ - "ㄧㄣ5" - ], - "粍": [ - "ㄓㄜ2" - ], - "粎": [ - "ㄇㄧ3" - ], - "粏": [ - "ㄊㄞ5" - ], - "粐": [ - "ㄏㄨ4" - ], - "粑": [ - "ㄅㄚ1" - ], - "粒": [ - "ㄌㄧ4" - ], - "粓": [ - "ㄍㄢ1" - ], - "粔": [ - "ㄐㄩ4" - ], - "粕": [ - "ㄆㄛ4" - ], - "粖": [ - "ㄇㄛ4" - ], - "粗": [ - "ㄘㄨ1" - ], - "粘": [ - "ㄓㄢ1", - "ㄋㄧㄢ2" - ], - "粙": [ - "ㄓㄡ4" - ], - "粚": [ - "ㄔ1" - ], - "粛": [ - "ㄙㄨ4" - ], - "粜": [ - "ㄊㄧㄠ4" - ], - "粝": [ - "ㄌㄧ4" - ], - "粞": [ - "ㄒㄧ1" - ], - "粟": [ - "ㄙㄨ4" - ], - "粠": [ - "ㄏㄨㄥ2" - ], - "粡": [ - "ㄊㄨㄥ2" - ], - "粢": [ - "ㄗ1", - "ㄘ2", - "ㄐㄧ4" - ], - "粣": [ - "ㄘㄜ4", - "ㄙㄜ4" - ], - "粤": [ - "ㄩㄝ4" - ], - "粥": [ - "ㄓㄡ1", - "ㄩ4" - ], - "粦": [ - "ㄌㄧㄣ2" - ], - "粧": [ - "ㄓㄨㄤ1" - ], - "粨": [ - "ㄅㄞ3" - ], - "粩": [ - "ㄌㄠ1" - ], - "粪": [ - "ㄈㄣ4" - ], - "粫": [ - "ㄦ2" - ], - "粬": [ - "ㄑㄩ1" - ], - "粭": [ - "ㄏㄜ2" - ], - "粮": [ - "ㄌㄧㄤ2" - ], - "粯": [ - "ㄒㄧㄢ4" - ], - "粰": [ - "ㄈㄨ2", - "ㄈㄨ1" - ], - "粱": [ - "ㄌㄧㄤ2" - ], - "粲": [ - "ㄘㄢ4" - ], - "粳": [ - "ㄐㄧㄥ1" - ], - "粴": [ - "ㄌㄧ3" - ], - "粵": [ - "ㄩㄝ4" - ], - "粶": [ - "ㄌㄨ4" - ], - "粷": [ - "ㄐㄩ2" - ], - "粸": [ - "ㄑㄧ2" - ], - "粹": [ - "ㄘㄨㄟ4", - "ㄙㄨㄟ4" - ], - "粺": [ - "ㄅㄞ4" - ], - "粻": [ - "ㄓㄤ1" - ], - "粼": [ - "ㄌㄧㄣ2", - "ㄌㄧㄣ3" - ], - "粽": [ - "ㄗㄨㄥ4" - ], - "精": [ - "ㄐㄧㄥ1", - "ㄑㄧㄥ2", - "ㄐㄧㄥ4" - ], - "粿": [ - "ㄍㄨㄛ3", - "ㄏㄨㄚ4" - ], - "糀": [ - "ㄏㄨㄚ1" - ], - "糁": [ - "ㄙㄢ3", - "ㄕㄣ1" - ], - "糂": [ - "ㄙㄢ3" - ], - "糃": [ - "ㄊㄤ2" - ], - "糄": [ - "ㄅㄧㄢ3", - "ㄅㄧㄢ1" - ], - "糅": [ - "ㄖㄡ2" - ], - "糆": [ - "ㄇㄧㄢ4" - ], - "糇": [ - "ㄏㄡ2" - ], - "糈": [ - "ㄒㄩ3" - ], - "糉": [ - "ㄗㄨㄥ4" - ], - "糊": [ - "ㄏㄨ2", - "ㄏㄨ1", - "ㄏㄨ4" - ], - "糋": [ - "ㄐㄧㄢ4" - ], - "糌": [ - "ㄗㄢ1" - ], - "糍": [ - "ㄘ2" - ], - "糎": [ - "ㄌㄧ2" - ], - "糏": [ - "ㄒㄧㄝ4" - ], - "糐": [ - "ㄈㄨ1" - ], - "糑": [ - "ㄋㄨㄛ4" - ], - "糒": [ - "ㄅㄟ4" - ], - "糓": [ - "ㄍㄨ3" - ], - "糔": [ - "ㄒㄧㄡ3" - ], - "糕": [ - "ㄍㄠ1" - ], - "糖": [ - "ㄊㄤ2" - ], - "糗": [ - "ㄑㄧㄡ3" - ], - "糘": [ - "ㄐㄧㄚ1" - ], - "糙": [ - "ㄘㄠ1" - ], - "糚": [ - "ㄓㄨㄤ1" - ], - "糛": [ - "ㄊㄤ2" - ], - "糜": [ - "ㄇㄧ2", - "ㄇㄟ2" - ], - "糝": [ - "ㄙㄢ3", - "ㄙㄢ1", - "ㄕㄣ1" - ], - "糞": [ - "ㄈㄣ4" - ], - "糟": [ - "ㄗㄠ1" - ], - "糠": [ - "ㄎㄤ1" - ], - "糡": [ - "ㄐㄧㄤ4" - ], - "糢": [ - "ㄇㄛ2" - ], - "糣": [ - "ㄙㄢ3" - ], - "糤": [ - "ㄙㄢ3" - ], - "糥": [ - "ㄋㄨㄛ4" - ], - "糦": [ - "ㄒㄧ1" - ], - "糧": [ - "ㄌㄧㄤ2" - ], - "糨": [ - "ㄐㄧㄤ4", - "ㄐㄧㄤ1" - ], - "糩": [ - "ㄎㄨㄞ4" - ], - "糪": [ - "ㄅㄛ4" - ], - "糫": [ - "ㄏㄨㄢ2" - ], - "糬": [ - "ㄕㄨ3" - ], - "糭": [ - "ㄗㄨㄥ4" - ], - "糮": [ - "ㄒㄧㄢ4" - ], - "糯": [ - "ㄋㄨㄛ4" - ], - "糰": [ - "ㄊㄨㄢ2" - ], - "糱": [ - "ㄋㄧㄝ4" - ], - "糲": [ - "ㄌㄧ4" - ], - "糳": [ - "ㄗㄨㄛ4" - ], - "糴": [ - "ㄉㄧ2" - ], - "糵": [ - "ㄋㄧㄝ4" - ], - "糶": [ - "ㄊㄧㄠ4", - "ㄉㄧㄠ4" - ], - "糷": [ - "ㄌㄢ4" - ], - "糸": [ - "ㄇㄧ4", - "ㄙ1" - ], - "糹": [ - "ㄙ1" - ], - "糺": [ - "ㄐㄧㄡ1", - "ㄐㄧㄡ3" - ], - "系": [ - "ㄒㄧ4", - "ㄐㄧ4" - ], - "糼": [ - "ㄍㄨㄥ1" - ], - "糽": [ - "ㄓㄥ3", - "ㄓㄥ1" - ], - "糾": [ - "ㄐㄧㄡ1", - "ㄐㄧㄠ3" - ], - "糿": [ - "ㄧㄡ4" - ], - "紀": [ - "ㄐㄧ4", - "ㄐㄧ3" - ], - "紁": [ - "ㄔㄚ4" - ], - "紂": [ - "ㄓㄡ4" - ], - "紃": [ - "ㄒㄩㄣ2" - ], - "約": [ - "ㄩㄝ1", - "ㄧㄠ1", - "ㄧㄠ4", - "ㄉㄧ4" - ], - "紅": [ - "ㄏㄨㄥ2", - "ㄍㄨㄥ1", - "ㄐㄧㄤ4" - ], - "紆": [ - "ㄩ1", - "ㄡ1" - ], - "紇": [ - "ㄏㄜ2", - "ㄍㄜ1", - "ㄐㄧㄝ2" - ], - "紈": [ - "ㄨㄢ2" - ], - "紉": [ - "ㄖㄣ4" - ], - "紊": [ - "ㄨㄣ3", - "ㄨㄣ4" - ], - "紋": [ - "ㄨㄣ2", - "ㄨㄣ4" - ], - "紌": [ - "ㄑㄧㄡ2" - ], - "納": [ - "ㄋㄚ4" - ], - "紎": [ - "ㄗ1" - ], - "紏": [ - "ㄊㄡ3" - ], - "紐": [ - "ㄋㄧㄡ3" - ], - "紑": [ - "ㄈㄡ2" - ], - "紒": [ - "ㄐㄧ4", - "ㄐㄧㄝ2", - "ㄐㄧㄝ4" - ], - "紓": [ - "ㄕㄨ1" - ], - "純": [ - "ㄔㄨㄣ2", - "ㄓㄨㄣ3", - "ㄊㄨㄣ2", - "ㄑㄩㄢ2", - "ㄗ1", - "ㄓㄨㄣ1" - ], - "紕": [ - "ㄆㄧ1", - "ㄆㄧ2", - "ㄅㄧ3", - "ㄅㄧ1", - "ㄅㄧ4", - "ㄔ3" - ], - "紖": [ - "ㄓㄣ4" - ], - "紗": [ - "ㄕㄚ1", - "ㄇㄧㄠ3" - ], - "紘": [ - "ㄏㄨㄥ2" - ], - "紙": [ - "ㄓ3" - ], - "級": [ - "ㄐㄧ2" - ], - "紛": [ - "ㄈㄣ1" - ], - "紜": [ - "ㄩㄣ2" - ], - "紝": [ - "ㄖㄣ4" - ], - "紞": [ - "ㄉㄢ3" - ], - "紟": [ - "ㄐㄧㄣ1", - "ㄐㄧㄣ4" - ], - "素": [ - "ㄙㄨ4" - ], - "紡": [ - "ㄈㄤ3", - "ㄅㄤ3", - "ㄈㄤ4" - ], - "索": [ - "ㄙㄨㄛ3" - ], - "紣": [ - "ㄘㄨㄟ4" - ], - "紤": [ - "ㄐㄧㄡ3" - ], - "紥": [ - "ㄗㄚ1", - "ㄓㄚ1" - ], - "紦": [ - "ㄅㄚ5" - ], - "紧": [ - "ㄐㄧㄣ3" - ], - "紨": [ - "ㄈㄨ1", - "ㄈㄨ4" - ], - "紩": [ - "ㄓ4" - ], - "紪": [ - "ㄑㄧ1" - ], - "紫": [ - "ㄗ3" - ], - "紬": [ - "ㄔㄡ2", - "ㄔㄡ1", - "ㄓㄡ4" - ], - "紭": [ - "ㄏㄨㄥ2" - ], - "紮": [ - "ㄗㄚ1", - "ㄓㄚ1" - ], - "累": [ - "ㄌㄟ4", - "ㄌㄟ2", - "ㄌㄟ3", - "ㄌㄩ4", - "ㄌㄧㄝ4" - ], - "細": [ - "ㄒㄧ4" - ], - "紱": [ - "ㄈㄨ2" - ], - "紲": [ - "ㄒㄧㄝ4", - "ㄧ4" - ], - "紳": [ - "ㄕㄣ1" - ], - "紴": [ - "ㄅㄛ1", - "ㄅㄧ4" - ], - "紵": [ - "ㄓㄨ4", - "ㄕㄨ1" - ], - "紶": [ - "ㄑㄩ1", - "ㄑㄩ3" - ], - "紷": [ - "ㄌㄧㄥ2" - ], - "紸": [ - "ㄓㄨ4" - ], - "紹": [ - "ㄕㄠ4", - "ㄔㄠ1" - ], - "紺": [ - "ㄍㄢ4" - ], - "紻": [ - "ㄧㄤ3" - ], - "紼": [ - "ㄈㄨ2", - "ㄈㄟ4" - ], - "紽": [ - "ㄊㄨㄛ2" - ], - "紾": [ - "ㄓㄣ3", - "ㄊㄧㄢ3", - "ㄐㄧㄣ3" - ], - "紿": [ - "ㄉㄞ4" - ], - "絀": [ - "ㄔㄨ4" - ], - "絁": [ - "ㄕ1" - ], - "終": [ - "ㄓㄨㄥ1" - ], - "絃": [ - "ㄒㄧㄢ2", - "ㄒㄩㄢ4" - ], - "組": [ - "ㄗㄨ3", - "ㄑㄩ1" - ], - "絅": [ - "ㄐㄩㄥ1", - "ㄐㄩㄥ3" - ], - "絆": [ - "ㄅㄢ4" - ], - "絇": [ - "ㄑㄩ2" - ], - "絈": [ - "ㄇㄛ4" - ], - "絉": [ - "ㄕㄨ4" - ], - "絊": [ - "ㄗㄨㄟ4" - ], - "絋": [ - "ㄎㄨㄤ4" - ], - "経": [ - "ㄐㄧㄥ1" - ], - "絍": [ - "ㄖㄣ4" - ], - "絎": [ - "ㄏㄤ2" - ], - "絏": [ - "ㄒㄧㄝ4", - "ㄧ4" - ], - "結": [ - "ㄐㄧㄝ2", - "ㄐㄧ4", - "ㄐㄧㄝ1" - ], - "絑": [ - "ㄓㄨ1" - ], - "絒": [ - "ㄔㄡ2" - ], - "絓": [ - "ㄍㄨㄚ4", - "ㄎㄨㄚ1" - ], - "絔": [ - "ㄅㄞ3", - "ㄇㄛ4" - ], - "絕": [ - "ㄐㄩㄝ2" - ], - "絖": [ - "ㄎㄨㄤ4" - ], - "絗": [ - "ㄏㄨ2" - ], - "絘": [ - "ㄘ4" - ], - "絙": [ - "ㄏㄨㄢ2", - "ㄍㄥ1" - ], - "絚": [ - "ㄍㄥ1" - ], - "絛": [ - "ㄊㄠ1" - ], - "絜": [ - "ㄐㄧㄝ2", - "ㄒㄧㄝ2", - "ㄑㄧㄚ4", - "ㄐㄧㄚ2", - "ㄑㄧ4" - ], - "絝": [ - "ㄎㄨ4" - ], - "絞": [ - "ㄐㄧㄠ3", - "ㄒㄧㄠ2", - "ㄐㄧㄠ4" - ], - "絟": [ - "ㄑㄩㄢ2" - ], - "絠": [ - "ㄍㄞ3", - "ㄞ3" - ], - "絡": [ - "ㄌㄨㄛ4", - "ㄌㄠ4" - ], - "絢": [ - "ㄒㄩㄢ4", - "ㄒㄩㄣ2" - ], - "絣": [ - "ㄅㄥ1", - "ㄅㄧㄥ1", - "ㄆㄥ1" - ], - "絤": [ - "ㄒㄧㄢ4" - ], - "絥": [ - "ㄈㄨ2" - ], - "給": [ - "ㄍㄟ3", - "ㄐㄧ3", - "ㄒㄧㄚ2" - ], - "絧": [ - "ㄉㄨㄥ4", - "ㄊㄨㄥ2", - "ㄊㄨㄥ1" - ], - "絨": [ - "ㄖㄨㄥ2" - ], - "絩": [ - "ㄊㄧㄠ4", - "ㄉㄧㄠ4", - "ㄉㄠ4" - ], - "絪": [ - "ㄧㄣ1" - ], - "絫": [ - "ㄌㄟ3" - ], - "絬": [ - "ㄒㄧㄝ4" - ], - "絭": [ - "ㄐㄩㄢ4" - ], - "絮": [ - "ㄒㄩ4", - "ㄔㄨ4", - "ㄋㄩ4", - "ㄋㄚ4" - ], - "絯": [ - "ㄍㄞ1", - "ㄏㄞ4" - ], - "絰": [ - "ㄉㄧㄝ2" - ], - "統": [ - "ㄊㄨㄥ3" - ], - "絲": [ - "ㄙ1" - ], - "絳": [ - "ㄐㄧㄤ4" - ], - "絴": [ - "ㄒㄧㄤ2" - ], - "絵": [ - "ㄏㄨㄟ4" - ], - "絶": [ - "ㄐㄩㄝ2" - ], - "絷": [ - "ㄓ2" - ], - "絸": [ - "ㄐㄧㄢ3" - ], - "絹": [ - "ㄐㄩㄢ4", - "ㄒㄩㄢ4" - ], - "絺": [ - "ㄔ1", - "ㄓ3" - ], - "絻": [ - "ㄇㄧㄢ3", - "ㄨㄣ4", - "ㄇㄢ2", - "ㄨㄢ4" - ], - "絼": [ - "ㄓㄣ4" - ], - "絽": [ - "ㄌㄩ3" - ], - "絾": [ - "ㄔㄥ2" - ], - "絿": [ - "ㄑㄧㄡ2" - ], - "綀": [ - "ㄕㄨ1" - ], - "綁": [ - "ㄅㄤ3" - ], - "綂": [ - "ㄊㄨㄥ3" - ], - "綃": [ - "ㄒㄧㄠ1", - "ㄕㄠ1" - ], - "綄": [ - "ㄏㄨㄢ2", - "ㄏㄨㄢ4", - "ㄨㄢ4" - ], - "綅": [ - "ㄑㄧㄣ1", - "ㄒㄧㄢ1" - ], - "綆": [ - "ㄍㄥ3", - "ㄅㄧㄥ3" - ], - "綇": [ - "ㄒㄧㄡ3" - ], - "綈": [ - "ㄊㄧ2", - "ㄊㄧ4" - ], - "綉": [ - "ㄊㄡ4", - "ㄒㄧㄡ4" - ], - "綊": [ - "ㄒㄧㄝ2" - ], - "綋": [ - "ㄏㄨㄥ2" - ], - "綌": [ - "ㄒㄧ4" - ], - "綍": [ - "ㄈㄨ2" - ], - "綎": [ - "ㄊㄧㄥ1" - ], - "綏": [ - "ㄙㄨㄟ1", - "ㄙㄨㄟ2", - "ㄕㄨㄞ1", - "ㄖㄨㄟ2", - "ㄊㄨㄛ3" - ], - "綐": [ - "ㄉㄨㄟ4" - ], - "綑": [ - "ㄎㄨㄣ3" - ], - "綒": [ - "ㄈㄨ1" - ], - "經": [ - "ㄐㄧㄥ1", - "ㄐㄧㄥ4" - ], - "綔": [ - "ㄏㄨ4" - ], - "綕": [ - "ㄓ1" - ], - "綖": [ - "ㄧㄢ2", - "ㄒㄧㄢ4" - ], - "綗": [ - "ㄐㄩㄥ3" - ], - "綘": [ - "ㄈㄥ2" - ], - "継": [ - "ㄐㄧ4" - ], - "続": [ - "ㄒㄩ4" - ], - "綛": [ - "ㄖㄣ3" - ], - "綜": [ - "ㄗㄨㄥ1", - "ㄗㄥ4", - "ㄗㄨㄥ4" - ], - "綝": [ - "ㄔㄣ1", - "ㄕㄣ1", - "ㄌㄧㄣ2" - ], - "綞": [ - "ㄉㄨㄛ3" - ], - "綟": [ - "ㄌㄧ4", - "ㄌㄧㄝ4" - ], - "綠": [ - "ㄌㄩ4" - ], - "綡": [ - "ㄌㄧㄤ2" - ], - "綢": [ - "ㄔㄡ2", - "ㄊㄠ1", - "ㄉㄧㄠ4" - ], - "綣": [ - "ㄑㄩㄢ3" - ], - "綤": [ - "ㄕㄠ4" - ], - "綥": [ - "ㄑㄧ2" - ], - "綦": [ - "ㄑㄧ2", - "ㄑㄧ4" - ], - "綧": [ - "ㄓㄨㄣ3", - "ㄓㄨㄣ4" - ], - "綨": [ - "ㄑㄧ2" - ], - "綩": [ - "ㄨㄢ3" - ], - "綪": [ - "ㄑㄧㄢ4", - "ㄑㄧㄥ1", - "ㄓㄥ1" - ], - "綫": [ - "ㄒㄧㄢ4" - ], - "綬": [ - "ㄕㄡ4" - ], - "維": [ - "ㄨㄟ2", - "ㄧ2" - ], - "綮": [ - "ㄑㄧ3", - "ㄑㄧㄥ4", - "ㄑㄧㄥ3" - ], - "綯": [ - "ㄊㄠ2" - ], - "綰": [ - "ㄨㄢ3" - ], - "綱": [ - "ㄍㄤ1" - ], - "網": [ - "ㄨㄤ3" - ], - "綳": [ - "ㄅㄥ1" - ], - "綴": [ - "ㄓㄨㄟ4", - "ㄔㄨㄛ4" - ], - "綵": [ - "ㄘㄞ3" - ], - "綶": [ - "ㄍㄨㄛ3" - ], - "綷": [ - "ㄘㄨㄟ4", - "ㄗㄨ2" - ], - "綸": [ - "ㄌㄨㄣ2", - "ㄍㄨㄢ1" - ], - "綹": [ - "ㄌㄧㄡ3" - ], - "綺": [ - "ㄑㄧ3", - "ㄧ3" - ], - "綻": [ - "ㄓㄢ4" - ], - "綼": [ - "ㄅㄧ4" - ], - "綽": [ - "ㄔㄨㄛ4", - "ㄔㄠ1" - ], - "綾": [ - "ㄌㄧㄥ2" - ], - "綿": [ - "ㄇㄧㄢ2" - ], - "緀": [ - "ㄑㄧ1" - ], - "緁": [ - "ㄑㄧㄝ4" - ], - "緂": [ - "ㄊㄧㄢ2", - "ㄊㄢ3", - "ㄔㄢ1" - ], - "緃": [ - "ㄗㄨㄥ1" - ], - "緄": [ - "ㄍㄨㄣ3", - "ㄏㄨㄣ4", - "ㄏㄨㄣ2" - ], - "緅": [ - "ㄗㄡ1" - ], - "緆": [ - "ㄒㄧ1" - ], - "緇": [ - "ㄗ1" - ], - "緈": [ - "ㄒㄧㄥ4" - ], - "緉": [ - "ㄌㄧㄤ3" - ], - "緊": [ - "ㄐㄧㄣ3" - ], - "緋": [ - "ㄈㄟ1" - ], - "緌": [ - "ㄖㄨㄟ2" - ], - "緍": [ - "ㄇㄧㄣ2" - ], - "緎": [ - "ㄩ4" - ], - "総": [ - "ㄗㄨㄥ3", - "ㄘㄨㄥ1" - ], - "緐": [ - "ㄈㄢ2" - ], - "緑": [ - "ㄌㄩ4", - "ㄌㄨ4" - ], - "緒": [ - "ㄒㄩ4" - ], - "緓": [ - "ㄧㄥ1" - ], - "緔": [ - "ㄕㄤ4" - ], - "緕": [ - "ㄑㄧ5" - ], - "緖": [ - "ㄒㄩ4" - ], - "緗": [ - "ㄒㄧㄤ1" - ], - "緘": [ - "ㄐㄧㄢ1" - ], - "緙": [ - "ㄎㄜ4" - ], - "線": [ - "ㄒㄧㄢ4" - ], - "緛": [ - "ㄖㄨㄢ3", - "ㄖㄨㄢ4" - ], - "緜": [ - "ㄇㄧㄢ2" - ], - "緝": [ - "ㄐㄧ1", - "ㄑㄧ4", - "ㄑㄧ1", - "ㄐㄧ2" - ], - "緞": [ - "ㄉㄨㄢ4" - ], - "緟": [ - "ㄔㄨㄥ2", - "ㄓㄨㄥ4" - ], - "締": [ - "ㄉㄧ4" - ], - "緡": [ - "ㄇㄧㄣ2", - "ㄇㄧㄣ3", - "ㄇㄧㄢ2", - "ㄏㄨㄣ2" - ], - "緢": [ - "ㄇㄧㄠ2", - "ㄇㄠ2" - ], - "緣": [ - "ㄩㄢ2", - "ㄩㄢ4" - ], - "緤": [ - "ㄒㄧㄝ4", - "ㄧㄝ4" - ], - "緥": [ - "ㄅㄠ3" - ], - "緦": [ - "ㄙ1" - ], - "緧": [ - "ㄑㄧㄡ1" - ], - "編": [ - "ㄅㄧㄢ1", - "ㄅㄧㄢ3", - "ㄅㄧㄢ4" - ], - "緩": [ - "ㄏㄨㄢ3" - ], - "緪": [ - "ㄍㄥ1", - "ㄍㄥ4" - ], - "緫": [ - "ㄘㄨㄥ1" - ], - "緬": [ - "ㄇㄧㄢ3" - ], - "緭": [ - "ㄨㄟ4" - ], - "緮": [ - "ㄈㄨ4" - ], - "緯": [ - "ㄨㄟ3" - ], - "緰": [ - "ㄊㄡ2", - "ㄒㄩ1", - "ㄩ2" - ], - "緱": [ - "ㄍㄡ1" - ], - "緲": [ - "ㄇㄧㄠ3" - ], - "緳": [ - "ㄒㄧㄝ2" - ], - "練": [ - "ㄌㄧㄢ4" - ], - "緵": [ - "ㄗㄨㄥ1", - "ㄗㄨㄥ4" - ], - "緶": [ - "ㄅㄧㄢ4", - "ㄆㄧㄢ2", - "ㄅㄧㄢ3" - ], - "緷": [ - "ㄩㄣ4", - "ㄍㄨㄣ3" - ], - "緸": [ - "ㄧㄣ1" - ], - "緹": [ - "ㄊㄧ2" - ], - "緺": [ - "ㄍㄨㄚ1" - ], - "緻": [ - "ㄓ4" - ], - "緼": [ - "ㄩㄣ4", - "ㄨㄣ1" - ], - "緽": [ - "ㄔㄥ1" - ], - "緾": [ - "ㄔㄢ2" - ], - "緿": [ - "ㄉㄞ4" - ], - "縀": [ - "ㄒㄧㄚ2" - ], - "縁": [ - "ㄩㄢ2" - ], - "縂": [ - "ㄗㄨㄥ3" - ], - "縃": [ - "ㄒㄩ1" - ], - "縄": [ - "ㄕㄥ2" - ], - "縅": [ - "ㄨㄟ1" - ], - "縆": [ - "ㄍㄥ1" - ], - "縇": [ - "ㄒㄩㄢ1" - ], - "縈": [ - "ㄧㄥ2" - ], - "縉": [ - "ㄐㄧㄣ4" - ], - "縊": [ - "ㄧ4" - ], - "縋": [ - "ㄓㄨㄟ4" - ], - "縌": [ - "ㄋㄧ4" - ], - "縍": [ - "ㄅㄤ1", - "ㄅㄤ4" - ], - "縎": [ - "ㄍㄨ3", - "ㄏㄨ2" - ], - "縏": [ - "ㄆㄢ2" - ], - "縐": [ - "ㄓㄡ4", - "ㄔㄠ4", - "ㄘㄨ4", - "ㄓㄡ1" - ], - "縑": [ - "ㄐㄧㄢ1" - ], - "縒": [ - "ㄘ1", - "ㄘㄨㄛ4", - "ㄙㄨㄛ3" - ], - "縓": [ - "ㄑㄩㄢ2" - ], - "縔": [ - "ㄕㄨㄤ3" - ], - "縕": [ - "ㄩㄣ4" - ], - "縖": [ - "ㄒㄧㄚ2" - ], - "縗": [ - "ㄘㄨㄟ1", - "ㄙㄨㄟ1", - "ㄕㄨㄞ1" - ], - "縘": [ - "ㄒㄧ1" - ], - "縙": [ - "ㄖㄨㄥ2", - "ㄖㄨㄥ3", - "ㄖㄨㄥ4" - ], - "縚": [ - "ㄊㄠ1" - ], - "縛": [ - "ㄈㄨ4" - ], - "縜": [ - "ㄩㄣ2" - ], - "縝": [ - "ㄔㄣ1", - "ㄓㄣ3" - ], - "縞": [ - "ㄍㄠ3" - ], - "縟": [ - "ㄖㄨ4", - "ㄖㄨㄥ3" - ], - "縠": [ - "ㄏㄨ2" - ], - "縡": [ - "ㄗㄞ4", - "ㄗㄥ1" - ], - "縢": [ - "ㄊㄥ2" - ], - "縣": [ - "ㄒㄧㄢ4", - "ㄒㄩㄢ2" - ], - "縤": [ - "ㄙㄨ4" - ], - "縥": [ - "ㄓㄣ3" - ], - "縦": [ - "ㄗㄨㄥ4" - ], - "縧": [ - "ㄊㄠ1" - ], - "縨": [ - "ㄏㄨㄤ3" - ], - "縩": [ - "ㄘㄞ4" - ], - "縪": [ - "ㄅㄧ4" - ], - "縫": [ - "ㄈㄥ4", - "ㄈㄥ2" - ], - "縬": [ - "ㄘㄨ4" - ], - "縭": [ - "ㄌㄧ2" - ], - "縮": [ - "ㄙㄨㄛ1", - "ㄙㄨ4" - ], - "縯": [ - "ㄧㄢ3", - "ㄧㄣ3" - ], - "縰": [ - "ㄒㄧ3" - ], - "縱": [ - "ㄗㄨㄥ4", - "ㄘㄨㄥ2", - "ㄗㄨㄥ3" - ], - "縲": [ - "ㄌㄟ2" - ], - "縳": [ - "ㄐㄩㄢ4", - "ㄓㄨㄢ4" - ], - "縴": [ - "ㄑㄧㄢ4", - "ㄑㄧㄢ1" - ], - "縵": [ - "ㄇㄢ4" - ], - "縶": [ - "ㄓ2" - ], - "縷": [ - "ㄌㄩ3" - ], - "縸": [ - "ㄇㄨ4", - "ㄇㄛ4" - ], - "縹": [ - "ㄆㄧㄠ3", - "ㄆㄧㄠ1" - ], - "縺": [ - "ㄌㄧㄢ2" - ], - "縻": [ - "ㄇㄧ2" - ], - "縼": [ - "ㄒㄩㄢ4" - ], - "總": [ - "ㄗㄨㄥ3", - "ㄗㄨㄥ1", - "ㄘㄨㄥ1" - ], - "績": [ - "ㄐㄧ1" - ], - "縿": [ - "ㄕㄢ1", - "ㄒㄧㄢ1", - "ㄒㄧㄠ1", - "ㄙㄠ1", - "ㄘㄢ3" - ], - "繀": [ - "ㄙㄨㄟ4", - "ㄘㄨㄟ3" - ], - "繁": [ - "ㄈㄢ2", - "ㄆㄛ2", - "ㄆㄢ2" - ], - "繂": [ - "ㄌㄩ4" - ], - "繃": [ - "ㄅㄥ3", - "ㄅㄥ1", - "ㄅㄥ4" - ], - "繄": [ - "ㄧ1", - "ㄧ4" - ], - "繅": [ - "ㄙㄠ1", - "ㄗㄠ3" - ], - "繆": [ - "ㄇㄡ2", - "ㄐㄧㄡ1", - "ㄇㄧㄡ4", - "ㄇㄨ4", - "ㄇㄧㄠ4", - "ㄌㄧㄠ2", - "ㄌㄧㄠ3", - "ㄌㄧㄠ4", - "ㄌㄨ4" - ], - "繇": [ - "ㄧㄠ2", - "ㄧㄡ2", - "ㄓㄡ4" - ], - "繈": [ - "ㄑㄧㄤ3" - ], - "繉": [ - "ㄏㄨㄣ2" - ], - "繊": [ - "ㄒㄧㄢ1" - ], - "繋": [ - "ㄐㄧ4" - ], - "繌": [ - "ㄕㄚ5" - ], - "繍": [ - "ㄒㄧㄡ4" - ], - "繎": [ - "ㄖㄢ2" - ], - "繏": [ - "ㄒㄩㄢ4" - ], - "繐": [ - "ㄙㄨㄟ4" - ], - "繑": [ - "ㄑㄧㄠ1", - "ㄐㄩㄝ1" - ], - "繒": [ - "ㄗㄥ1", - "ㄗㄥ4", - "ㄘㄥ2" - ], - "繓": [ - "ㄗㄨㄛ3" - ], - "織": [ - "ㄓ1", - "ㄓ4" - ], - "繕": [ - "ㄕㄢ4" - ], - "繖": [ - "ㄙㄢ3" - ], - "繗": [ - "ㄌㄧㄣ2" - ], - "繘": [ - "ㄩ4", - "ㄐㄩㄝ2" - ], - "繙": [ - "ㄈㄢ1", - "ㄈㄢ2" - ], - "繚": [ - "ㄌㄧㄠ2", - "ㄖㄠ3" - ], - "繛": [ - "ㄔㄨㄛ4" - ], - "繜": [ - "ㄗㄨㄣ1" - ], - "繝": [ - "ㄐㄧㄢ4" - ], - "繞": [ - "ㄖㄠ4", - "ㄖㄠ3" - ], - "繟": [ - "ㄔㄢ3", - "ㄔㄢ2" - ], - "繠": [ - "ㄖㄨㄟ3" - ], - "繡": [ - "ㄒㄧㄡ4" - ], - "繢": [ - "ㄏㄨㄟ4", - "ㄏㄨㄟ2" - ], - "繣": [ - "ㄏㄨㄚ4" - ], - "繤": [ - "ㄗㄨㄢ3" - ], - "繥": [ - "ㄒㄧ1" - ], - "繦": [ - "ㄑㄧㄤ3" - ], - "繧": [ - "ㄩㄣ5" - ], - "繨": [ - "ㄉㄚ5" - ], - "繩": [ - "ㄕㄥ2", - "ㄧㄥ4", - "ㄇㄧㄣ3", - "ㄕㄥ4" - ], - "繪": [ - "ㄏㄨㄟ4", - "ㄍㄨㄟ4" - ], - "繫": [ - "ㄒㄧ4", - "ㄐㄧ4" - ], - "繬": [ - "ㄙㄜ4" - ], - "繭": [ - "ㄐㄧㄢ3" - ], - "繮": [ - "ㄐㄧㄤ1" - ], - "繯": [ - "ㄏㄨㄢ2" - ], - "繰": [ - "ㄗㄠ3", - "ㄙㄠ1", - "ㄑㄧㄠ1" - ], - "繱": [ - "ㄘㄨㄥ1" - ], - "繲": [ - "ㄒㄧㄝ4" - ], - "繳": [ - "ㄐㄧㄠ3", - "ㄓㄨㄛ2", - "ㄐㄧㄠ4", - "ㄏㄜ2" - ], - "繴": [ - "ㄅㄧ4" - ], - "繵": [ - "ㄉㄢ4", - "ㄊㄢ2", - "ㄔㄢ2" - ], - "繶": [ - "ㄧ4" - ], - "繷": [ - "ㄋㄨㄥ3" - ], - "繸": [ - "ㄙㄨㄟ4" - ], - "繹": [ - "ㄧ4", - "ㄕ4" - ], - "繺": [ - "ㄕㄞ3" - ], - "繻": [ - "ㄒㄩ1", - "ㄖㄨ2" - ], - "繼": [ - "ㄐㄧ4" - ], - "繽": [ - "ㄅㄧㄣ1" - ], - "繾": [ - "ㄑㄧㄢ3" - ], - "繿": [ - "ㄌㄢ2" - ], - "纀": [ - "ㄆㄨ2", - "ㄈㄨ2" - ], - "纁": [ - "ㄒㄩㄣ1" - ], - "纂": [ - "ㄗㄨㄢ3" - ], - "纃": [ - "ㄑㄧ2" - ], - "纄": [ - "ㄆㄥ2" - ], - "纅": [ - "ㄧㄠ4", - "ㄌㄧ4" - ], - "纆": [ - "ㄇㄛ4" - ], - "纇": [ - "ㄌㄟ4" - ], - "纈": [ - "ㄒㄧㄝ2" - ], - "纉": [ - "ㄗㄨㄢ3" - ], - "纊": [ - "ㄎㄨㄤ4" - ], - "纋": [ - "ㄧㄡ1" - ], - "續": [ - "ㄒㄩ4" - ], - "纍": [ - "ㄌㄟ2", - "ㄌㄟ3", - "ㄌㄟ4" - ], - "纎": [ - "ㄒㄧㄢ1" - ], - "纏": [ - "ㄔㄢ2" - ], - "纐": [ - "ㄐㄧㄠ3" - ], - "纑": [ - "ㄌㄨ2" - ], - "纒": [ - "ㄔㄢ2" - ], - "纓": [ - "ㄧㄥ1" - ], - "纔": [ - "ㄘㄞ2", - "ㄕㄢ1" - ], - "纕": [ - "ㄖㄤ3", - "ㄒㄧㄤ1", - "ㄙㄤ1" - ], - "纖": [ - "ㄒㄧㄢ1", - "ㄐㄧㄢ1" - ], - "纗": [ - "ㄗㄨㄟ1" - ], - "纘": [ - "ㄗㄨㄢ3" - ], - "纙": [ - "ㄌㄨㄛ4" - ], - "纚": [ - "ㄌㄧ2", - "ㄒㄧ3", - "ㄌㄧ3", - "ㄙㄚ3" - ], - "纛": [ - "ㄉㄠ4", - "ㄉㄨ2" - ], - "纜": [ - "ㄌㄢ3" - ], - "纝": [ - "ㄌㄟ2" - ], - "纞": [ - "ㄌㄧㄢ4" - ], - "纟": [ - "ㄙ1" - ], - "纠": [ - "ㄐㄧㄡ1" - ], - "纡": [ - "ㄩ1" - ], - "红": [ - "ㄏㄨㄥ2", - "ㄍㄨㄥ1" - ], - "纣": [ - "ㄓㄡ4" - ], - "纤": [ - "ㄒㄧㄢ1", - "ㄑㄧㄢ4" - ], - "纥": [ - "ㄍㄜ1", - "ㄏㄜ2" - ], - "约": [ - "ㄩㄝ1", - "ㄧㄠ1" - ], - "级": [ - "ㄐㄧ2" - ], - "纨": [ - "ㄨㄢ2" - ], - "纩": [ - "ㄎㄨㄤ4" - ], - "纪": [ - "ㄐㄧ4", - "ㄐㄧ3" - ], - "纫": [ - "ㄖㄣ4" - ], - "纬": [ - "ㄨㄟ3" - ], - "纭": [ - "ㄩㄣ2" - ], - "纮": [ - "ㄏㄨㄥ2" - ], - "纯": [ - "ㄔㄨㄣ2" - ], - "纰": [ - "ㄆㄧ1" - ], - "纱": [ - "ㄕㄚ1" - ], - "纲": [ - "ㄍㄤ1" - ], - "纳": [ - "ㄋㄚ4" - ], - "纴": [ - "ㄖㄣ4" - ], - "纵": [ - "ㄗㄨㄥ4" - ], - "纶": [ - "ㄌㄨㄣ2", - "ㄍㄨㄢ1" - ], - "纷": [ - "ㄈㄣ1" - ], - "纸": [ - "ㄓ3" - ], - "纹": [ - "ㄨㄣ2", - "ㄨㄣ4" - ], - "纺": [ - "ㄈㄤ3" - ], - "纻": [ - "ㄓㄨ4" - ], - "纼": [ - "ㄓㄣ4" - ], - "纽": [ - "ㄋㄧㄡ3" - ], - "纾": [ - "ㄕㄨ1" - ], - "线": [ - "ㄒㄧㄢ4" - ], - "绀": [ - "ㄍㄢ4" - ], - "绁": [ - "ㄒㄧㄝ4" - ], - "绂": [ - "ㄈㄨ2" - ], - "练": [ - "ㄌㄧㄢ4" - ], - "组": [ - "ㄗㄨ3" - ], - "绅": [ - "ㄕㄣ1" - ], - "细": [ - "ㄒㄧ4" - ], - "织": [ - "ㄓ1" - ], - "终": [ - "ㄓㄨㄥ1" - ], - "绉": [ - "ㄓㄡ4" - ], - "绊": [ - "ㄅㄢ4" - ], - "绋": [ - "ㄈㄨ2" - ], - "绌": [ - "ㄔㄨ4" - ], - "绍": [ - "ㄕㄠ4" - ], - "绎": [ - "ㄧ4" - ], - "经": [ - "ㄐㄧㄥ1", - "ㄐㄧㄥ4" - ], - "绐": [ - "ㄉㄞ4" - ], - "绑": [ - "ㄅㄤ3" - ], - "绒": [ - "ㄖㄨㄥ2" - ], - "结": [ - "ㄐㄧㄝ2", - "ㄐㄧㄝ1" - ], - "绔": [ - "ㄎㄨ4" - ], - "绕": [ - "ㄖㄠ4", - "ㄖㄠ3" - ], - "绖": [ - "ㄉㄧㄝ2" - ], - "绗": [ - "ㄏㄤ2" - ], - "绘": [ - "ㄏㄨㄟ4" - ], - "给": [ - "ㄍㄟ3", - "ㄐㄧ3" - ], - "绚": [ - "ㄒㄩㄢ4" - ], - "绛": [ - "ㄐㄧㄤ4" - ], - "络": [ - "ㄌㄨㄛ4", - "ㄌㄠ4" - ], - "绝": [ - "ㄐㄩㄝ2" - ], - "绞": [ - "ㄐㄧㄠ3" - ], - "统": [ - "ㄊㄨㄥ3" - ], - "绠": [ - "ㄍㄥ3" - ], - "绡": [ - "ㄒㄧㄠ1" - ], - "绢": [ - "ㄐㄩㄢ4" - ], - "绣": [ - "ㄒㄧㄡ4" - ], - "绤": [ - "ㄒㄧ4" - ], - "绥": [ - "ㄙㄨㄟ2" - ], - "绦": [ - "ㄊㄠ1" - ], - "继": [ - "ㄐㄧ4" - ], - "绨": [ - "ㄊㄧ2", - "ㄊㄧ4" - ], - "绩": [ - "ㄐㄧ4", - "ㄐㄧ1" - ], - "绪": [ - "ㄒㄩ4" - ], - "绫": [ - "ㄌㄧㄥ2" - ], - "绬": [ - "ㄧㄥ1" - ], - "续": [ - "ㄒㄩ4" - ], - "绮": [ - "ㄑㄧ3" - ], - "绯": [ - "ㄈㄟ1" - ], - "绰": [ - "ㄔㄨㄛ4", - "ㄔㄠ1" - ], - "绱": [ - "ㄕㄤ4" - ], - "绲": [ - "ㄍㄨㄣ3" - ], - "绳": [ - "ㄕㄥ2" - ], - "维": [ - "ㄨㄟ2" - ], - "绵": [ - "ㄇㄧㄢ2" - ], - "绶": [ - "ㄕㄡ4" - ], - "绷": [ - "ㄅㄥ1", - "ㄅㄥ3", - "ㄅㄥ4" - ], - "绸": [ - "ㄔㄡ2" - ], - "绹": [ - "ㄊㄠ2" - ], - "绺": [ - "ㄌㄧㄡ3" - ], - "绻": [ - "ㄑㄩㄢ3" - ], - "综": [ - "ㄗㄨㄥ1", - "ㄗㄥ4" - ], - "绽": [ - "ㄓㄢ4" - ], - "绾": [ - "ㄨㄢ3" - ], - "绿": [ - "ㄌㄩ4", - "ㄌㄨ4" - ], - "缀": [ - "ㄓㄨㄟ4" - ], - "缁": [ - "ㄗ1" - ], - "缂": [ - "ㄎㄜ4" - ], - "缃": [ - "ㄒㄧㄤ1" - ], - "缄": [ - "ㄐㄧㄢ1" - ], - "缅": [ - "ㄇㄧㄢ3" - ], - "缆": [ - "ㄌㄢ3" - ], - "缇": [ - "ㄊㄧ2" - ], - "缈": [ - "ㄇㄧㄠ3" - ], - "缉": [ - "ㄐㄧ1", - "ㄑㄧ1" - ], - "缊": [ - "ㄩㄣ1", - "ㄩㄣ4" - ], - "缋": [ - "ㄏㄨㄟ4" - ], - "缌": [ - "ㄙ1" - ], - "缍": [ - "ㄉㄨㄛ3" - ], - "缎": [ - "ㄉㄨㄢ4" - ], - "缏": [ - "ㄅㄧㄢ4", - "ㄆㄧㄢ2" - ], - "缐": [ - "ㄒㄧㄢ4" - ], - "缑": [ - "ㄍㄡ1" - ], - "缒": [ - "ㄓㄨㄟ4" - ], - "缓": [ - "ㄏㄨㄢ3" - ], - "缔": [ - "ㄉㄧ4" - ], - "缕": [ - "ㄌㄩ3" - ], - "编": [ - "ㄅㄧㄢ1" - ], - "缗": [ - "ㄇㄧㄣ2" - ], - "缘": [ - "ㄩㄢ2" - ], - "缙": [ - "ㄐㄧㄣ4" - ], - "缚": [ - "ㄈㄨ4" - ], - "缛": [ - "ㄖㄨ4" - ], - "缜": [ - "ㄓㄣ3" - ], - "缝": [ - "ㄈㄥ4", - "ㄈㄥ2" - ], - "缞": [ - "ㄘㄨㄟ1" - ], - "缟": [ - "ㄍㄠ3" - ], - "缠": [ - "ㄔㄢ2" - ], - "缡": [ - "ㄌㄧ2" - ], - "缢": [ - "ㄧ4" - ], - "缣": [ - "ㄐㄧㄢ1" - ], - "缤": [ - "ㄅㄧㄣ1" - ], - "缥": [ - "ㄆㄧㄠ1", - "ㄆㄧㄠ3" - ], - "缦": [ - "ㄇㄢ4" - ], - "缧": [ - "ㄌㄟ2" - ], - "缨": [ - "ㄧㄥ1" - ], - "缩": [ - "ㄙㄨㄛ1", - "ㄙㄨ4" - ], - "缪": [ - "ㄇㄡ2", - "ㄇㄧㄠ4", - "ㄇㄧㄡ4" - ], - "缫": [ - "ㄙㄠ1" - ], - "缬": [ - "ㄒㄧㄝ2" - ], - "缭": [ - "ㄌㄧㄠ2" - ], - "缮": [ - "ㄕㄢ4" - ], - "缯": [ - "ㄗㄥ1", - "ㄗㄥ4" - ], - "缰": [ - "ㄐㄧㄤ1" - ], - "缱": [ - "ㄑㄧㄢ3" - ], - "缲": [ - "ㄑㄧㄠ1", - "ㄙㄠ1" - ], - "缳": [ - "ㄏㄨㄢ2" - ], - "缴": [ - "ㄐㄧㄠ3", - "ㄓㄨㄛ2" - ], - "缵": [ - "ㄗㄨㄢ3" - ], - "缶": [ - "ㄈㄡ3" - ], - "缷": [ - "ㄒㄧㄝ4" - ], - "缸": [ - "ㄍㄤ1" - ], - "缹": [ - "ㄈㄡ3" - ], - "缺": [ - "ㄑㄩㄝ1", - "ㄎㄨㄟ3" - ], - "缻": [ - "ㄈㄡ3" - ], - "缼": [ - "ㄑㄧ5" - ], - "缽": [ - "ㄅㄛ1" - ], - "缾": [ - "ㄆㄧㄥ2" - ], - "缿": [ - "ㄒㄧㄤ4" - ], - "罀": [ - "ㄓㄠ5" - ], - "罁": [ - "ㄍㄤ1" - ], - "罂": [ - "ㄧㄥ1" - ], - "罃": [ - "ㄧㄥ1" - ], - "罄": [ - "ㄑㄧㄥ4" - ], - "罅": [ - "ㄒㄧㄚ4" - ], - "罆": [ - "ㄍㄨㄢ4" - ], - "罇": [ - "ㄗㄨㄣ1" - ], - "罈": [ - "ㄊㄢ2" - ], - "罉": [ - "ㄔㄥ1" - ], - "罊": [ - "ㄑㄧ4" - ], - "罋": [ - "ㄨㄥ4" - ], - "罌": [ - "ㄧㄥ1" - ], - "罍": [ - "ㄌㄟ2" - ], - "罎": [ - "ㄊㄢ2" - ], - "罏": [ - "ㄌㄨ2" - ], - "罐": [ - "ㄍㄨㄢ4" - ], - "网": [ - "ㄨㄤ3" - ], - "罒": [ - "ㄨㄤ3" - ], - "罓": [ - "ㄍㄤ1" - ], - "罔": [ - "ㄨㄤ3", - "ㄨㄤ2" - ], - "罕": [ - "ㄏㄢ3", - "ㄏㄢ4" - ], - "罖": [ - "ㄌㄨㄛ2" - ], - "罗": [ - "ㄌㄨㄛ2", - "ㄌㄨㄛ1" - ], - "罘": [ - "ㄈㄨ2" - ], - "罙": [ - "ㄕㄣ1" - ], - "罚": [ - "ㄈㄚ2" - ], - "罛": [ - "ㄍㄨ1" - ], - "罜": [ - "ㄓㄨ3", - "ㄉㄨ2" - ], - "罝": [ - "ㄐㄩ1", - "ㄐㄧㄝ1" - ], - "罞": [ - "ㄇㄠ2" - ], - "罟": [ - "ㄍㄨ3" - ], - "罠": [ - "ㄇㄧㄣ2" - ], - "罡": [ - "ㄍㄤ1" - ], - "罢": [ - "ㄅㄚ4", - "ㄅㄚ5" - ], - "罣": [ - "ㄍㄨㄚ4" - ], - "罤": [ - "ㄊㄧ2", - "ㄎㄨㄣ1" - ], - "罥": [ - "ㄐㄩㄢ4" - ], - "罦": [ - "ㄈㄨ2" - ], - "罧": [ - "ㄕㄣ4" - ], - "罨": [ - "ㄧㄢ3" - ], - "罩": [ - "ㄓㄠ4" - ], - "罪": [ - "ㄗㄨㄟ4" - ], - "罫": [ - "ㄍㄨㄚ4", - "ㄏㄨㄚ4", - "ㄍㄨㄞ3" - ], - "罬": [ - "ㄓㄨㄛ2" - ], - "罭": [ - "ㄩ4" - ], - "置": [ - "ㄓ4" - ], - "罯": [ - "ㄢ3" - ], - "罰": [ - "ㄈㄚ2" - ], - "罱": [ - "ㄌㄢ3", - "ㄋㄢ3" - ], - "署": [ - "ㄕㄨ3" - ], - "罳": [ - "ㄙ1" - ], - "罴": [ - "ㄆㄧ2" - ], - "罵": [ - "ㄇㄚ4" - ], - "罶": [ - "ㄌㄧㄡ3" - ], - "罷": [ - "ㄅㄚ4", - "ㄆㄧ2", - "ㄆㄧ4", - "ㄅㄧ3", - "ㄅㄚ5", - "ㄅㄞ3" - ], - "罸": [ - "ㄈㄚ2" - ], - "罹": [ - "ㄌㄧ2" - ], - "罺": [ - "ㄔㄠ2" - ], - "罻": [ - "ㄨㄟ4" - ], - "罼": [ - "ㄅㄧ4" - ], - "罽": [ - "ㄐㄧ4" - ], - "罾": [ - "ㄗㄥ1" - ], - "罿": [ - "ㄔㄨㄥ1" - ], - "羀": [ - "ㄌㄧㄡ3" - ], - "羁": [ - "ㄐㄧ1" - ], - "羂": [ - "ㄐㄩㄢ4" - ], - "羃": [ - "ㄇㄧ4" - ], - "羄": [ - "ㄓㄠ4" - ], - "羅": [ - "ㄌㄨㄛ2", - "ㄌㄨㄛ1", - "ㄌㄨㄛ5" - ], - "羆": [ - "ㄆㄧ2" - ], - "羇": [ - "ㄐㄧ1" - ], - "羈": [ - "ㄐㄧ1" - ], - "羉": [ - "ㄌㄨㄢ2" - ], - "羊": [ - "ㄧㄤ2" - ], - "羋": [ - "ㄇㄧ3", - "ㄇㄧㄝ1" - ], - "羌": [ - "ㄑㄧㄤ1" - ], - "羍": [ - "ㄉㄚ2" - ], - "美": [ - "ㄇㄟ3" - ], - "羏": [ - "ㄧㄤ2", - "ㄒㄧㄤ2" - ], - "羐": [ - "ㄧㄡ3" - ], - "羑": [ - "ㄧㄡ3" - ], - "羒": [ - "ㄈㄣ2" - ], - "羓": [ - "ㄅㄚ1" - ], - "羔": [ - "ㄍㄠ1" - ], - "羕": [ - "ㄧㄤ4" - ], - "羖": [ - "ㄍㄨ3" - ], - "羗": [ - "ㄑㄧㄤ1", - "ㄧㄡ3" - ], - "羘": [ - "ㄗㄤ1" - ], - "羙": [ - "ㄍㄠ1", - "ㄇㄟ3" - ], - "羚": [ - "ㄌㄧㄥ2" - ], - "羛": [ - "ㄧ4", - "ㄒㄧ1" - ], - "羜": [ - "ㄓㄨ4" - ], - "羝": [ - "ㄉㄧ1" - ], - "羞": [ - "ㄒㄧㄡ1" - ], - "羟": [ - "ㄑㄧㄤ3" - ], - "羠": [ - "ㄧ2" - ], - "羡": [ - "ㄒㄧㄢ4", - "ㄧㄢ2", - "ㄧ2" - ], - "羢": [ - "ㄖㄨㄥ2" - ], - "羣": [ - "ㄑㄩㄣ2" - ], - "群": [ - "ㄑㄩㄣ2" - ], - "羥": [ - "ㄑㄧㄤ3", - "ㄑㄧㄢ1" - ], - "羦": [ - "ㄏㄨㄢ2" - ], - "羧": [ - "ㄙㄨㄛ1", - "ㄗㄨㄟ1" - ], - "羨": [ - "ㄒㄧㄢ4" - ], - "義": [ - "ㄧ4", - "ㄧ2", - "ㄒㄧ1" - ], - "羪": [ - "ㄧㄤ5" - ], - "羫": [ - "ㄑㄧㄤ1", - "ㄎㄤ4" - ], - "羬": [ - "ㄑㄧㄢ2", - "ㄒㄧㄢ2", - "ㄧㄢ2" - ], - "羭": [ - "ㄩ2" - ], - "羮": [ - "ㄍㄥ1" - ], - "羯": [ - "ㄐㄧㄝ2" - ], - "羰": [ - "ㄊㄤ1" - ], - "羱": [ - "ㄩㄢ2" - ], - "羲": [ - "ㄒㄧ1" - ], - "羳": [ - "ㄈㄢ2" - ], - "羴": [ - "ㄕㄢ1" - ], - "羵": [ - "ㄈㄣ2" - ], - "羶": [ - "ㄕㄢ1" - ], - "羷": [ - "ㄌㄧㄢ3" - ], - "羸": [ - "ㄌㄟ2", - "ㄌㄧㄢ2" - ], - "羹": [ - "ㄍㄥ1", - "ㄌㄤ2" - ], - "羺": [ - "ㄋㄡ2" - ], - "羻": [ - "ㄑㄧㄤ4" - ], - "羼": [ - "ㄔㄢ4" - ], - "羽": [ - "ㄩ3", - "ㄏㄨ4" - ], - "羾": [ - "ㄍㄨㄥ4" - ], - "羿": [ - "ㄧ4" - ], - "翀": [ - "ㄔㄨㄥ1" - ], - "翁": [ - "ㄨㄥ1", - "ㄨㄥ3" - ], - "翂": [ - "ㄈㄣ1" - ], - "翃": [ - "ㄏㄨㄥ2" - ], - "翄": [ - "ㄔ4" - ], - "翅": [ - "ㄔ4" - ], - "翆": [ - "ㄘㄨㄟ4" - ], - "翇": [ - "ㄈㄨ2" - ], - "翈": [ - "ㄒㄧㄚ2" - ], - "翉": [ - "ㄅㄣ3" - ], - "翊": [ - "ㄧ4" - ], - "翋": [ - "ㄌㄚ1" - ], - "翌": [ - "ㄧ4" - ], - "翍": [ - "ㄆㄧ1", - "ㄅㄧ4", - "ㄆㄛ1" - ], - "翎": [ - "ㄌㄧㄥ2" - ], - "翏": [ - "ㄌㄧㄡ4", - "ㄌㄨ4" - ], - "翐": [ - "ㄓ4" - ], - "翑": [ - "ㄑㄩ2" - ], - "習": [ - "ㄒㄧ2" - ], - "翓": [ - "ㄒㄧㄝ2" - ], - "翔": [ - "ㄒㄧㄤ2" - ], - "翕": [ - "ㄒㄧ1" - ], - "翖": [ - "ㄒㄧ1" - ], - "翗": [ - "ㄎㄜ2" - ], - "翘": [ - "ㄑㄧㄠ4", - "ㄑㄧㄠ2" - ], - "翙": [ - "ㄏㄨㄟ4" - ], - "翚": [ - "ㄏㄨㄟ1" - ], - "翛": [ - "ㄒㄧㄠ1", - "ㄕㄨ1" - ], - "翜": [ - "ㄕㄚ4" - ], - "翝": [ - "ㄏㄨㄥ2" - ], - "翞": [ - "ㄐㄧㄤ1" - ], - "翟": [ - "ㄉㄧ2", - "ㄓㄞ2" - ], - "翠": [ - "ㄘㄨㄟ4" - ], - "翡": [ - "ㄈㄟ3" - ], - "翢": [ - "ㄉㄠ4", - "ㄓㄡ1" - ], - "翣": [ - "ㄕㄚ4" - ], - "翤": [ - "ㄔ4" - ], - "翥": [ - "ㄓㄨ4" - ], - "翦": [ - "ㄐㄧㄢ3" - ], - "翧": [ - "ㄒㄩㄢ1" - ], - "翨": [ - "ㄔ4" - ], - "翩": [ - "ㄆㄧㄢ1" - ], - "翪": [ - "ㄗㄨㄥ1" - ], - "翫": [ - "ㄨㄢ2", - "ㄨㄢ4" - ], - "翬": [ - "ㄏㄨㄟ1" - ], - "翭": [ - "ㄏㄡ2" - ], - "翮": [ - "ㄏㄜ2", - "ㄌㄧ4" - ], - "翯": [ - "ㄏㄜ4", - "ㄏㄠ4" - ], - "翰": [ - "ㄏㄢ4" - ], - "翱": [ - "ㄠ2" - ], - "翲": [ - "ㄆㄧㄠ1" - ], - "翳": [ - "ㄧ4" - ], - "翴": [ - "ㄌㄧㄢ2" - ], - "翵": [ - "ㄏㄡ2", - "ㄑㄩ2" - ], - "翶": [ - "ㄠ2" - ], - "翷": [ - "ㄌㄧㄣ2" - ], - "翸": [ - "ㄆㄣ3" - ], - "翹": [ - "ㄑㄧㄠ4", - "ㄑㄧㄠ2" - ], - "翺": [ - "ㄠ2" - ], - "翻": [ - "ㄈㄢ1" - ], - "翼": [ - "ㄧ4" - ], - "翽": [ - "ㄏㄨㄟ4" - ], - "翾": [ - "ㄒㄩㄢ1" - ], - "翿": [ - "ㄉㄠ4" - ], - "耀": [ - "ㄧㄠ4" - ], - "老": [ - "ㄌㄠ3" - ], - "耂": [ - "ㄌㄠ3" - ], - "考": [ - "ㄎㄠ3" - ], - "耄": [ - "ㄇㄠ4" - ], - "者": [ - "ㄓㄜ3" - ], - "耆": [ - "ㄑㄧ2", - "ㄓ3", - "ㄕ4" - ], - "耇": [ - "ㄍㄡ3" - ], - "耈": [ - "ㄍㄡ3" - ], - "耉": [ - "ㄍㄡ3" - ], - "耊": [ - "ㄉㄧㄝ2" - ], - "耋": [ - "ㄉㄧㄝ2" - ], - "而": [ - "ㄦ2", - "ㄋㄥ2" - ], - "耍": [ - "ㄕㄨㄚ3" - ], - "耎": [ - "ㄖㄨㄢ3", - "ㄋㄨㄛ4" - ], - "耏": [ - "ㄋㄞ4", - "ㄦ2" - ], - "耐": [ - "ㄋㄞ4", - "ㄋㄥ2" - ], - "耑": [ - "ㄉㄨㄢ1", - "ㄓㄨㄢ1" - ], - "耒": [ - "ㄌㄟ3" - ], - "耓": [ - "ㄊㄧㄥ1" - ], - "耔": [ - "ㄗ3" - ], - "耕": [ - "ㄍㄥ1" - ], - "耖": [ - "ㄔㄠ4" - ], - "耗": [ - "ㄏㄠ4", - "ㄇㄠ2", - "ㄇㄠ4" - ], - "耘": [ - "ㄩㄣ2" - ], - "耙": [ - "ㄅㄚ4", - "ㄆㄚ2" - ], - "耚": [ - "ㄆㄧ1" - ], - "耛": [ - "ㄧ2", - "ㄔ2" - ], - "耜": [ - "ㄙ4" - ], - "耝": [ - "ㄑㄩ4", - "ㄔㄨ2" - ], - "耞": [ - "ㄐㄧㄚ1" - ], - "耟": [ - "ㄐㄩ4" - ], - "耠": [ - "ㄏㄨㄛ1" - ], - "耡": [ - "ㄔㄨ2" - ], - "耢": [ - "ㄌㄠ4" - ], - "耣": [ - "ㄌㄨㄣ3", - "ㄌㄨㄣ2" - ], - "耤": [ - "ㄐㄧ2", - "ㄐㄧㄝ4" - ], - "耥": [ - "ㄊㄤ1", - "ㄊㄤ3" - ], - "耦": [ - "ㄡ3" - ], - "耧": [ - "ㄌㄡ2" - ], - "耨": [ - "ㄋㄡ4" - ], - "耩": [ - "ㄐㄧㄤ3" - ], - "耪": [ - "ㄆㄤ3" - ], - "耫": [ - "ㄓㄚ2", - "ㄗㄜ2" - ], - "耬": [ - "ㄌㄡ2", - "ㄌㄡ3" - ], - "耭": [ - "ㄐㄧ1" - ], - "耮": [ - "ㄌㄠ4" - ], - "耯": [ - "ㄏㄨㄛ4" - ], - "耰": [ - "ㄧㄡ1" - ], - "耱": [ - "ㄇㄛ4" - ], - "耲": [ - "ㄏㄨㄞ2" - ], - "耳": [ - "ㄦ3", - "ㄖㄥ2" - ], - "耴": [ - "ㄧ4" - ], - "耵": [ - "ㄉㄧㄥ1" - ], - "耶": [ - "ㄧㄝ2", - "ㄧㄝ1", - "ㄒㄧㄝ2" - ], - "耷": [ - "ㄉㄚ1", - "ㄓㄜ2" - ], - "耸": [ - "ㄙㄨㄥ3" - ], - "耹": [ - "ㄑㄧㄣ2" - ], - "耺": [ - "ㄩㄣ2", - "ㄧㄥ2" - ], - "耻": [ - "ㄔ3" - ], - "耼": [ - "ㄉㄢ1" - ], - "耽": [ - "ㄉㄢ1" - ], - "耾": [ - "ㄏㄨㄥ2" - ], - "耿": [ - "ㄍㄥ3" - ], - "聀": [ - "ㄓ2" - ], - "聁": [ - "ㄆㄢ4" - ], - "聂": [ - "ㄋㄧㄝ4" - ], - "聃": [ - "ㄉㄢ1" - ], - "聄": [ - "ㄓㄣ3" - ], - "聅": [ - "ㄔㄜ4" - ], - "聆": [ - "ㄌㄧㄥ2" - ], - "聇": [ - "ㄓㄥ1" - ], - "聈": [ - "ㄧㄡ3" - ], - "聉": [ - "ㄨㄚ4", - "ㄊㄨㄟ3", - "ㄓㄨㄛ2" - ], - "聊": [ - "ㄌㄧㄠ2", - "ㄌㄧㄡ2" - ], - "聋": [ - "ㄌㄨㄥ2" - ], - "职": [ - "ㄓ2" - ], - "聍": [ - "ㄋㄧㄥ2" - ], - "聎": [ - "ㄊㄧㄠ1" - ], - "聏": [ - "ㄦ2", - "ㄋㄩ4" - ], - "聐": [ - "ㄧㄚ4" - ], - "聑": [ - "ㄊㄧㄝ1", - "ㄓㄜ2" - ], - "聒": [ - "ㄍㄨㄚ1", - "ㄍㄨㄛ1" - ], - "聓": [ - "ㄒㄩ4" - ], - "联": [ - "ㄌㄧㄢ2" - ], - "聕": [ - "ㄏㄠ4" - ], - "聖": [ - "ㄕㄥ4" - ], - "聗": [ - "ㄌㄧㄝ4" - ], - "聘": [ - "ㄆㄧㄣ4", - "ㄆㄧㄥ4" - ], - "聙": [ - "ㄐㄧㄥ1" - ], - "聚": [ - "ㄐㄩ4" - ], - "聛": [ - "ㄅㄧ3" - ], - "聜": [ - "ㄉㄧ3" - ], - "聝": [ - "ㄍㄨㄛ2" - ], - "聞": [ - "ㄨㄣ2", - "ㄨㄣ4" - ], - "聟": [ - "ㄒㄩ4" - ], - "聠": [ - "ㄆㄧㄥ1" - ], - "聡": [ - "ㄘㄨㄥ1" - ], - "聢": [ - "ㄉㄧㄥ4" - ], - "聣": [ - "ㄋㄧ2" - ], - "聤": [ - "ㄊㄧㄥ2" - ], - "聥": [ - "ㄐㄩ3" - ], - "聦": [ - "ㄘㄨㄥ1" - ], - "聧": [ - "ㄎㄨㄟ1" - ], - "聨": [ - "ㄌㄧㄢ2" - ], - "聩": [ - "ㄎㄨㄟ4" - ], - "聪": [ - "ㄘㄨㄥ1" - ], - "聫": [ - "ㄌㄧㄢ2" - ], - "聬": [ - "ㄨㄥ3" - ], - "聭": [ - "ㄎㄨㄟ4" - ], - "聮": [ - "ㄌㄧㄢ2" - ], - "聯": [ - "ㄌㄧㄢ2" - ], - "聰": [ - "ㄘㄨㄥ1" - ], - "聱": [ - "ㄠ2", - "ㄧㄡ2" - ], - "聲": [ - "ㄕㄥ1" - ], - "聳": [ - "ㄙㄨㄥ3" - ], - "聴": [ - "ㄊㄧㄥ1" - ], - "聵": [ - "ㄎㄨㄟ4" - ], - "聶": [ - "ㄋㄧㄝ4", - "ㄓㄜ2", - "ㄕㄜ4", - "ㄧㄝ4" - ], - "職": [ - "ㄓ2", - "ㄊㄜ4" - ], - "聸": [ - "ㄉㄢ1" - ], - "聹": [ - "ㄋㄧㄥ2" - ], - "聺": [ - "ㄑㄧㄝ2" - ], - "聻": [ - "ㄋㄧ3", - "ㄐㄧㄢ4" - ], - "聼": [ - "ㄊㄧㄥ1" - ], - "聽": [ - "ㄊㄧㄥ1", - "ㄊㄧㄥ4" - ], - "聾": [ - "ㄌㄨㄥ2" - ], - "聿": [ - "ㄩ4" - ], - "肀": [ - "ㄩ4" - ], - "肁": [ - "ㄓㄠ4" - ], - "肂": [ - "ㄙ4" - ], - "肃": [ - "ㄙㄨ4" - ], - "肄": [ - "ㄧ4", - "ㄙ4" - ], - "肅": [ - "ㄙㄨ4" - ], - "肆": [ - "ㄙ4", - "ㄊㄧ4" - ], - "肇": [ - "ㄓㄠ4" - ], - "肈": [ - "ㄓㄠ4" - ], - "肉": [ - "ㄖㄡ4", - "ㄖㄨ4" - ], - "肊": [ - "ㄧ4" - ], - "肋": [ - "ㄌㄜ1", - "ㄌㄟ4", - "ㄐㄧㄣ1" - ], - "肌": [ - "ㄐㄧ1", - "ㄐㄧ4" - ], - "肍": [ - "ㄑㄧㄡ2" - ], - "肎": [ - "ㄎㄣ3" - ], - "肏": [ - "ㄘㄠ4" - ], - "肐": [ - "ㄍㄜ1", - "ㄑㄧ4" - ], - "肑": [ - "ㄅㄛ2", - "ㄉㄧ2" - ], - "肒": [ - "ㄏㄨㄢ4" - ], - "肓": [ - "ㄏㄨㄤ1" - ], - "肔": [ - "ㄔ3" - ], - "肕": [ - "ㄖㄣ4" - ], - "肖": [ - "ㄒㄧㄠ4", - "ㄒㄧㄠ1" - ], - "肗": [ - "ㄖㄨ3" - ], - "肘": [ - "ㄓㄡ3" - ], - "肙": [ - "ㄩㄢ4" - ], - "肚": [ - "ㄉㄨ4", - "ㄉㄨ3" - ], - "肛": [ - "ㄍㄤ1" - ], - "肜": [ - "ㄖㄨㄥ2", - "ㄔㄣ1" - ], - "肝": [ - "ㄍㄢ1" - ], - "肞": [ - "ㄔㄚ1" - ], - "肟": [ - "ㄨㄛ4" - ], - "肠": [ - "ㄔㄤ2" - ], - "股": [ - "ㄍㄨ3" - ], - "肢": [ - "ㄓ1", - "ㄕ4" - ], - "肣": [ - "ㄏㄢ2", - "ㄏㄢ4", - "ㄑㄧㄣ2" - ], - "肤": [ - "ㄈㄨ1" - ], - "肥": [ - "ㄈㄟ2", - "ㄅㄧ3" - ], - "肦": [ - "ㄈㄣ2" - ], - "肧": [ - "ㄆㄟ1" - ], - "肨": [ - "ㄆㄤ4", - "ㄆㄤ1", - "ㄈㄥ1" - ], - "肩": [ - "ㄐㄧㄢ1", - "ㄒㄧㄢ2" - ], - "肪": [ - "ㄈㄤ2" - ], - "肫": [ - "ㄓㄨㄣ1", - "ㄔㄨㄣ2", - "ㄊㄨㄣ2", - "ㄓㄨㄛ1" - ], - "肬": [ - "ㄧㄡ2" - ], - "肭": [ - "ㄋㄚ4", - "ㄋㄨ4" - ], - "肮": [ - "ㄤ1", - "ㄏㄤ2", - "ㄍㄤ1" - ], - "肯": [ - "ㄎㄣ3" - ], - "肰": [ - "ㄖㄢ2" - ], - "肱": [ - "ㄍㄨㄥ1" - ], - "育": [ - "ㄩ4", - "ㄓㄡ4", - "ㄧㄛ1" - ], - "肳": [ - "ㄨㄣ3" - ], - "肴": [ - "ㄧㄠ2" - ], - "肵": [ - "ㄑㄧ2" - ], - "肶": [ - "ㄆㄧ2", - "ㄅㄧ4" - ], - "肷": [ - "ㄑㄧㄢ3", - "ㄒㄩ4" - ], - "肸": [ - "ㄒㄧ1", - "ㄅㄧ4" - ], - "肹": [ - "ㄒㄧ1" - ], - "肺": [ - "ㄈㄟ4", - "ㄆㄟ4" - ], - "肻": [ - "ㄎㄣ3" - ], - "肼": [ - "ㄐㄧㄥ3" - ], - "肽": [ - "ㄊㄞ4" - ], - "肾": [ - "ㄕㄣ4" - ], - "肿": [ - "ㄓㄨㄥ3" - ], - "胀": [ - "ㄓㄤ4" - ], - "胁": [ - "ㄒㄧㄝ2" - ], - "胂": [ - "ㄕㄣ4", - "ㄕㄣ1", - "ㄔㄣ1" - ], - "胃": [ - "ㄨㄟ4" - ], - "胄": [ - "ㄓㄡ4" - ], - "胅": [ - "ㄉㄧㄝ2" - ], - "胆": [ - "ㄉㄢ3", - "ㄊㄢ2", - "ㄊㄢ3", - "ㄉㄚ2" - ], - "胇": [ - "ㄈㄟ4", - "ㄅㄧ4", - "ㄈㄟ3" - ], - "胈": [ - "ㄅㄚ2" - ], - "胉": [ - "ㄅㄛ2" - ], - "胊": [ - "ㄑㄩ2" - ], - "胋": [ - "ㄊㄧㄢ2" - ], - "背": [ - "ㄅㄟ4", - "ㄅㄟ1" - ], - "胍": [ - "ㄍㄨㄚ1", - "ㄍㄨ1", - "ㄏㄨ4" - ], - "胎": [ - "ㄊㄞ1" - ], - "胏": [ - "ㄗ3", - "ㄈㄟ4" - ], - "胐": [ - "ㄈㄟ3" - ], - "胑": [ - "ㄓ1" - ], - "胒": [ - "ㄋㄧ4" - ], - "胓": [ - "ㄆㄧㄥ2", - "ㄆㄥ1" - ], - "胔": [ - "ㄗ4", - "ㄘ2", - "ㄐㄧ2" - ], - "胕": [ - "ㄈㄨ3", - "ㄈㄨ1", - "ㄈㄨ2", - "ㄓㄡ3" - ], - "胖": [ - "ㄆㄤ4", - "ㄆㄢ2", - "ㄆㄢ4" - ], - "胗": [ - "ㄓㄣ1", - "ㄓㄣ3", - "ㄓㄨㄣ1" - ], - "胘": [ - "ㄒㄧㄢ2" - ], - "胙": [ - "ㄗㄨㄛ4" - ], - "胚": [ - "ㄆㄟ1" - ], - "胛": [ - "ㄐㄧㄚ3" - ], - "胜": [ - "ㄕㄥ4", - "ㄒㄧㄥ1", - "ㄑㄧㄥ4", - "ㄕㄥ1" - ], - "胝": [ - "ㄓ1", - "ㄔ1", - "ㄉㄧ4" - ], - "胞": [ - "ㄅㄠ1", - "ㄆㄠ2", - "ㄆㄠ4" - ], - "胟": [ - "ㄇㄨ3" - ], - "胠": [ - "ㄑㄩ1" - ], - "胡": [ - "ㄏㄨ2" - ], - "胢": [ - "ㄎㄜ1" - ], - "胣": [ - "ㄔ3" - ], - "胤": [ - "ㄧㄣ4" - ], - "胥": [ - "ㄒㄩ1", - "ㄒㄩ3" - ], - "胦": [ - "ㄧㄤ1" - ], - "胧": [ - "ㄌㄨㄥ2" - ], - "胨": [ - "ㄉㄨㄥ4" - ], - "胩": [ - "ㄎㄚ3" - ], - "胪": [ - "ㄌㄨ2" - ], - "胫": [ - "ㄐㄧㄥ4" - ], - "胬": [ - "ㄋㄨ3", - "ㄋㄩ3" - ], - "胭": [ - "ㄧㄢ1" - ], - "胮": [ - "ㄆㄤ1" - ], - "胯": [ - "ㄎㄨㄚ4", - "ㄎㄨㄚ3" - ], - "胰": [ - "ㄧ2" - ], - "胱": [ - "ㄍㄨㄤ1" - ], - "胲": [ - "ㄏㄞ3", - "ㄍㄞ1", - "ㄍㄞ3" - ], - "胳": [ - "ㄍㄜ1", - "ㄍㄜ2", - "ㄍㄚ1" - ], - "胴": [ - "ㄉㄨㄥ4" - ], - "胵": [ - "ㄔ1", - "ㄓ4" - ], - "胶": [ - "ㄐㄧㄠ1", - "ㄒㄧㄠ2" - ], - "胷": [ - "ㄒㄩㄥ1" - ], - "胸": [ - "ㄒㄩㄥ1" - ], - "胹": [ - "ㄦ2" - ], - "胺": [ - "ㄢ4", - "ㄜ4" - ], - "胻": [ - "ㄏㄥ2" - ], - "胼": [ - "ㄆㄧㄢ2" - ], - "能": [ - "ㄋㄥ2", - "ㄊㄞ2", - "ㄋㄞ2", - "ㄋㄞ4", - "ㄒㄩㄥ2" - ], - "胾": [ - "ㄗ4" - ], - "胿": [ - "ㄍㄨㄟ1", - "ㄎㄨㄟ4" - ], - "脀": [ - "ㄔㄥ2", - "ㄓㄥ1", - "ㄓㄥ4" - ], - "脁": [ - "ㄊㄧㄠ3" - ], - "脂": [ - "ㄓ1", - "ㄓ3" - ], - "脃": [ - "ㄘㄨㄟ4" - ], - "脄": [ - "ㄇㄟ2" - ], - "脅": [ - "ㄒㄧㄝ2", - "ㄒㄧㄢ4", - "ㄒㄧ1" - ], - "脆": [ - "ㄘㄨㄟ4" - ], - "脇": [ - "ㄒㄧㄝ2" - ], - "脈": [ - "ㄇㄞ4", - "ㄇㄛ4" - ], - "脉": [ - "ㄇㄞ4", - "ㄇㄛ4" - ], - "脊": [ - "ㄐㄧ2", - "ㄐㄧ3" - ], - "脋": [ - "ㄒㄧㄝ2" - ], - "脌": [ - "ㄋㄧㄣ5" - ], - "脍": [ - "ㄎㄨㄞ4" - ], - "脎": [ - "ㄙㄚ4" - ], - "脏": [ - "ㄗㄤ4", - "ㄗㄤ1" - ], - "脐": [ - "ㄑㄧ2" - ], - "脑": [ - "ㄋㄠ3" - ], - "脒": [ - "ㄇㄧ3" - ], - "脓": [ - "ㄋㄨㄥ2" - ], - "脔": [ - "ㄌㄨㄢ2", - "ㄐㄧ1" - ], - "脕": [ - "ㄨㄢ4", - "ㄨㄣ4" - ], - "脖": [ - "ㄅㄛ2", - "ㄅㄛ1" - ], - "脗": [ - "ㄨㄣ3" - ], - "脘": [ - "ㄨㄢ3", - "ㄏㄨㄢ4" - ], - "脙": [ - "ㄒㄧㄡ1" - ], - "脚": [ - "ㄐㄧㄠ3", - "ㄐㄩㄝ2" - ], - "脛": [ - "ㄐㄧㄥ4", - "ㄎㄥ1" - ], - "脜": [ - "ㄧㄡ3" - ], - "脝": [ - "ㄏㄥ1" - ], - "脞": [ - "ㄘㄨㄛ3", - "ㄑㄧㄝ1" - ], - "脟": [ - "ㄌㄧㄝ4", - "ㄌㄨㄢ2", - "ㄆㄠ1" - ], - "脠": [ - "ㄕㄢ1", - "ㄔㄢ1" - ], - "脡": [ - "ㄊㄧㄥ3" - ], - "脢": [ - "ㄇㄟ2" - ], - "脣": [ - "ㄔㄨㄣ2" - ], - "脤": [ - "ㄕㄣ4" - ], - "脥": [ - "ㄑㄧㄢ3", - "ㄑㄩ1", - "ㄐㄧㄝ2" - ], - "脦": [ - "ㄉㄜ5", - "ㄊㄜ4", - "ㄊㄜ5" - ], - "脧": [ - "ㄐㄩㄢ1", - "ㄗㄨㄟ1" - ], - "脨": [ - "ㄘㄨ4", - "ㄐㄧ2" - ], - "脩": [ - "ㄒㄧㄡ1", - "ㄧㄡ3", - "ㄊㄧㄠ2", - "ㄒㄧㄠ1" - ], - "脪": [ - "ㄒㄧㄣ4", - "ㄔ1" - ], - "脫": [ - "ㄊㄨㄛ1" - ], - "脬": [ - "ㄆㄠ1" - ], - "脭": [ - "ㄔㄥ2" - ], - "脮": [ - "ㄋㄟ3", - "ㄊㄨㄟ3" - ], - "脯": [ - "ㄆㄨ2", - "ㄈㄨ3" - ], - "脰": [ - "ㄉㄡ4" - ], - "脱": [ - "ㄊㄨㄛ1", - "ㄊㄨㄟ4" - ], - "脲": [ - "ㄋㄧㄠ4" - ], - "脳": [ - "ㄋㄠ3" - ], - "脴": [ - "ㄆㄧ3" - ], - "脵": [ - "ㄍㄨ3" - ], - "脶": [ - "ㄌㄨㄛ2" - ], - "脷": [ - "ㄌㄧ4" - ], - "脸": [ - "ㄌㄧㄢ3" - ], - "脹": [ - "ㄓㄤ4", - "ㄔㄤ2" - ], - "脺": [ - "ㄘㄨㄟ4", - "ㄙㄨㄟ4" - ], - "脻": [ - "ㄐㄧㄝ1" - ], - "脼": [ - "ㄌㄧㄤ3", - "ㄌㄤ3" - ], - "脽": [ - "ㄕㄨㄟ2" - ], - "脾": [ - "ㄆㄧ2", - "ㄆㄞ2", - "ㄅㄧ4", - "ㄆㄧ4" - ], - "脿": [ - "ㄅㄧㄠ1", - "ㄅㄧㄠ3", - "ㄅㄧㄠ4" - ], - "腀": [ - "ㄌㄨㄣ2" - ], - "腁": [ - "ㄆㄧㄢ2" - ], - "腂": [ - "ㄌㄟ3", - "ㄍㄨㄛ4", - "ㄏㄨㄚ4" - ], - "腃": [ - "ㄎㄨㄟ4", - "ㄑㄩㄢ1", - "ㄑㄩㄢ2", - "ㄐㄩㄢ4" - ], - "腄": [ - "ㄔㄨㄟ2", - "ㄏㄡ2", - "ㄔㄨㄞ2" - ], - "腅": [ - "ㄉㄢ4" - ], - "腆": [ - "ㄊㄧㄢ3" - ], - "腇": [ - "ㄋㄟ3" - ], - "腈": [ - "ㄐㄧㄥ1" - ], - "腉": [ - "ㄋㄞ2" - ], - "腊": [ - "ㄌㄚ4", - "ㄒㄧ1" - ], - "腋": [ - "ㄧㄝ4" - ], - "腌": [ - "ㄧㄢ1", - "ㄚ1", - "ㄤ1" - ], - "腍": [ - "ㄖㄣ4", - "ㄉㄧㄢ4" - ], - "腎": [ - "ㄕㄣ4" - ], - "腏": [ - "ㄔㄨㄛ4", - "ㄓㄨㄟ4" - ], - "腐": [ - "ㄈㄨ3" - ], - "腑": [ - "ㄈㄨ3" - ], - "腒": [ - "ㄐㄩ1" - ], - "腓": [ - "ㄈㄟ2" - ], - "腔": [ - "ㄑㄧㄤ1", - "ㄎㄨㄥ4" - ], - "腕": [ - "ㄨㄢ4" - ], - "腖": [ - "ㄉㄨㄥ4" - ], - "腗": [ - "ㄆㄧ2" - ], - "腘": [ - "ㄍㄨㄛ2" - ], - "腙": [ - "ㄗㄨㄥ1" - ], - "腚": [ - "ㄉㄧㄥ4" - ], - "腛": [ - "ㄨㄛ4" - ], - "腜": [ - "ㄇㄟ2" - ], - "腝": [ - "ㄋㄧ2", - "ㄖㄨㄢ3", - "ㄋㄠ4", - "ㄋㄣ4", - "ㄦ2" - ], - "腞": [ - "ㄓㄨㄢ4", - "ㄉㄨㄣ4", - "ㄊㄨ2" - ], - "腟": [ - "ㄔ4" - ], - "腠": [ - "ㄘㄡ4" - ], - "腡": [ - "ㄌㄨㄛ2" - ], - "腢": [ - "ㄡ3" - ], - "腣": [ - "ㄉㄧ4" - ], - "腤": [ - "ㄢ1" - ], - "腥": [ - "ㄒㄧㄥ1" - ], - "腦": [ - "ㄋㄠ3", - "ㄋㄠ4" - ], - "腧": [ - "ㄕㄨ4", - "ㄩ2" - ], - "腨": [ - "ㄕㄨㄢ4" - ], - "腩": [ - "ㄋㄢ3" - ], - "腪": [ - "ㄩㄣ4" - ], - "腫": [ - "ㄓㄨㄥ3" - ], - "腬": [ - "ㄖㄡ2" - ], - "腭": [ - "ㄜ4" - ], - "腮": [ - "ㄙㄞ1" - ], - "腯": [ - "ㄊㄨ2", - "ㄉㄨㄣ4" - ], - "腰": [ - "ㄧㄠ1" - ], - "腱": [ - "ㄐㄧㄢ4", - "ㄑㄧㄢ2" - ], - "腲": [ - "ㄨㄟ3" - ], - "腳": [ - "ㄐㄧㄠ3", - "ㄐㄩㄝ2" - ], - "腴": [ - "ㄩ2" - ], - "腵": [ - "ㄐㄧㄚ1" - ], - "腶": [ - "ㄉㄨㄢ4" - ], - "腷": [ - "ㄅㄧ4" - ], - "腸": [ - "ㄔㄤ2" - ], - "腹": [ - "ㄈㄨ4" - ], - "腺": [ - "ㄒㄧㄢ4" - ], - "腻": [ - "ㄋㄧ4" - ], - "腼": [ - "ㄇㄧㄢ3" - ], - "腽": [ - "ㄨㄚ4" - ], - "腾": [ - "ㄊㄥ2" - ], - "腿": [ - "ㄊㄨㄟ3" - ], - "膀": [ - "ㄅㄤ3", - "ㄆㄤ1", - "ㄆㄤ2", - "ㄅㄤ4", - "ㄆㄤ3" - ], - "膁": [ - "ㄑㄧㄢ3", - "ㄒㄧㄢ4", - "ㄧㄢ2" - ], - "膂": [ - "ㄌㄩ3" - ], - "膃": [ - "ㄨㄚ4" - ], - "膄": [ - "ㄕㄡ4" - ], - "膅": [ - "ㄊㄤ2" - ], - "膆": [ - "ㄙㄨ4" - ], - "膇": [ - "ㄓㄨㄟ4" - ], - "膈": [ - "ㄍㄜ2" - ], - "膉": [ - "ㄧ4" - ], - "膊": [ - "ㄅㄛ2", - "ㄆㄛ4", - "ㄌㄧㄝ4" - ], - "膋": [ - "ㄌㄧㄠ2" - ], - "膌": [ - "ㄐㄧ2" - ], - "膍": [ - "ㄆㄧ2" - ], - "膎": [ - "ㄒㄧㄝ2" - ], - "膏": [ - "ㄍㄠ1", - "ㄍㄠ4" - ], - "膐": [ - "ㄌㄩ3" - ], - "膑": [ - "ㄅㄧㄣ4" - ], - "膒": [ - "ㄡ1" - ], - "膓": [ - "ㄔㄤ2" - ], - "膔": [ - "ㄌㄨ4", - "ㄅㄧㄠ1" - ], - "膕": [ - "ㄍㄨㄛ2", - "ㄏㄨㄛ4" - ], - "膖": [ - "ㄆㄤ1" - ], - "膗": [ - "ㄔㄨㄞ2" - ], - "膘": [ - "ㄅㄧㄠ1", - "ㄆㄧㄠ3" - ], - "膙": [ - "ㄐㄧㄤ3" - ], - "膚": [ - "ㄈㄨ1", - "ㄌㄨ2" - ], - "膛": [ - "ㄊㄤ2", - "ㄊㄤ1" - ], - "膜": [ - "ㄇㄛ2" - ], - "膝": [ - "ㄒㄧ1" - ], - "膞": [ - "ㄓㄨㄢ1", - "ㄓㄨㄢ3", - "ㄔㄨㄢ3", - "ㄔㄨㄣ2" - ], - "膟": [ - "ㄌㄩ4" - ], - "膠": [ - "ㄐㄧㄠ1", - "ㄐㄧㄠ3", - "ㄏㄠ2", - "ㄋㄠ3" - ], - "膡": [ - "ㄧㄥ4" - ], - "膢": [ - "ㄌㄩ2" - ], - "膣": [ - "ㄓ4" - ], - "膤": [ - "ㄒㄩㄝ3" - ], - "膥": [ - "ㄘㄨㄣ1" - ], - "膦": [ - "ㄌㄧㄣ4", - "ㄌㄧㄢ3" - ], - "膧": [ - "ㄊㄨㄥ2" - ], - "膨": [ - "ㄆㄥ2", - "ㄆㄥ4" - ], - "膩": [ - "ㄋㄧ4" - ], - "膪": [ - "ㄔㄨㄞ4", - "ㄓㄚ4", - "ㄓㄞ4" - ], - "膫": [ - "ㄌㄧㄠ2", - "ㄌㄧㄠ3" - ], - "膬": [ - "ㄘㄨㄟ4" - ], - "膭": [ - "ㄍㄨㄟ1", - "ㄎㄨㄟ4", - "ㄉㄨㄟ4" - ], - "膮": [ - "ㄒㄧㄠ1" - ], - "膯": [ - "ㄊㄥ1", - "ㄊㄨㄣ2" - ], - "膰": [ - "ㄈㄢ2", - "ㄆㄢ2" - ], - "膱": [ - "ㄓ2" - ], - "膲": [ - "ㄐㄧㄠ1" - ], - "膳": [ - "ㄕㄢ4" - ], - "膴": [ - "ㄏㄨ1", - "ㄨ3", - "ㄇㄟ2" - ], - "膵": [ - "ㄘㄨㄟ4" - ], - "膶": [ - "ㄖㄨㄣ4" - ], - "膷": [ - "ㄒㄧㄤ1" - ], - "膸": [ - "ㄙㄨㄟ3", - "ㄨㄟ3" - ], - "膹": [ - "ㄈㄣ4" - ], - "膺": [ - "ㄧㄥ1" - ], - "膻": [ - "ㄕㄢ1", - "ㄉㄢ4" - ], - "膼": [ - "ㄓㄨㄚ1" - ], - "膽": [ - "ㄉㄢ3" - ], - "膾": [ - "ㄎㄨㄞ4" - ], - "膿": [ - "ㄋㄨㄥ2" - ], - "臀": [ - "ㄊㄨㄣ2" - ], - "臁": [ - "ㄌㄧㄢ2" - ], - "臂": [ - "ㄅㄧ4", - "ㄅㄟ5" - ], - "臃": [ - "ㄩㄥ1" - ], - "臄": [ - "ㄐㄩㄝ2", - "ㄐㄩ1" - ], - "臅": [ - "ㄔㄨ4" - ], - "臆": [ - "ㄧ4", - "ㄧ3" - ], - "臇": [ - "ㄐㄩㄢ3" - ], - "臈": [ - "ㄌㄚ4", - "ㄍㄜ2" - ], - "臉": [ - "ㄌㄧㄢ3" - ], - "臊": [ - "ㄙㄠ1", - "ㄙㄠ4" - ], - "臋": [ - "ㄊㄨㄣ2" - ], - "臌": [ - "ㄍㄨ3" - ], - "臍": [ - "ㄑㄧ2" - ], - "臎": [ - "ㄘㄨㄟ4" - ], - "臏": [ - "ㄅㄧㄣ4" - ], - "臐": [ - "ㄒㄩㄣ1" - ], - "臑": [ - "ㄋㄠ4", - "ㄖㄨ2", - "ㄦ2", - "ㄋㄣ4", - "ㄋㄨㄢ3" - ], - "臒": [ - "ㄨㄛ4", - "ㄩㄝ4" - ], - "臓": [ - "ㄗㄤ4" - ], - "臔": [ - "ㄒㄧㄢ4" - ], - "臕": [ - "ㄅㄧㄠ1" - ], - "臖": [ - "ㄒㄧㄥ4" - ], - "臗": [ - "ㄎㄨㄢ1" - ], - "臘": [ - "ㄌㄚ4", - "ㄌㄧㄝ4" - ], - "臙": [ - "ㄧㄢ1" - ], - "臚": [ - "ㄌㄨ2", - "ㄌㄩ3" - ], - "臛": [ - "ㄏㄨㄛ4" - ], - "臜": [ - "ㄗㄚ1" - ], - "臝": [ - "ㄌㄨㄛ3" - ], - "臞": [ - "ㄑㄩ2" - ], - "臟": [ - "ㄗㄤ4" - ], - "臠": [ - "ㄌㄨㄢ2" - ], - "臡": [ - "ㄋㄧ2", - "ㄌㄨㄢ2" - ], - "臢": [ - "ㄗㄚ1", - "ㄗㄢ1" - ], - "臣": [ - "ㄔㄣ2" - ], - "臤": [ - "ㄑㄧㄢ1", - "ㄒㄧㄢ2", - "ㄑㄧㄣ4" - ], - "臥": [ - "ㄨㄛ4" - ], - "臦": [ - "ㄍㄨㄤ4", - "ㄐㄩㄥ3" - ], - "臧": [ - "ㄗㄤ1", - "ㄘㄤ2", - "ㄗㄤ4" - ], - "臨": [ - "ㄌㄧㄣ2", - "ㄌㄧㄣ4" - ], - "臩": [ - "ㄍㄨㄤ3", - "ㄐㄩㄥ3" - ], - "自": [ - "ㄗ4" - ], - "臫": [ - "ㄐㄧㄠ3" - ], - "臬": [ - "ㄋㄧㄝ4" - ], - "臭": [ - "ㄔㄡ4", - "ㄒㄧㄡ4" - ], - "臮": [ - "ㄐㄧ4" - ], - "臯": [ - "ㄍㄠ1" - ], - "臰": [ - "ㄔㄡ4" - ], - "臱": [ - "ㄇㄧㄢ2", - "ㄅㄧㄢ1" - ], - "臲": [ - "ㄋㄧㄝ4" - ], - "至": [ - "ㄓ4", - "ㄉㄧㄝ2" - ], - "致": [ - "ㄓ4", - "ㄓㄨㄟ4" - ], - "臵": [ - "ㄍㄜ2" - ], - "臶": [ - "ㄐㄧㄢ4" - ], - "臷": [ - "ㄉㄧㄝ2", - "ㄓ2" - ], - "臸": [ - "ㄓ1", - "ㄐㄧㄣ4" - ], - "臹": [ - "ㄒㄧㄡ1" - ], - "臺": [ - "ㄊㄞ2" - ], - "臻": [ - "ㄓㄣ1" - ], - "臼": [ - "ㄐㄧㄡ4" - ], - "臽": [ - "ㄒㄧㄢ4" - ], - "臾": [ - "ㄩ2", - "ㄩ3", - "ㄩㄥ3", - "ㄎㄨㄟ4" - ], - "臿": [ - "ㄔㄚ1" - ], - "舀": [ - "ㄧㄠ3" - ], - "舁": [ - "ㄩ2" - ], - "舂": [ - "ㄔㄨㄥ1", - "ㄔㄨㄤ1", - "ㄓㄨㄥ1" - ], - "舃": [ - "ㄒㄧ4" - ], - "舄": [ - "ㄒㄧ4", - "ㄑㄩㄝ4", - "ㄊㄨㄛ1" - ], - "舅": [ - "ㄐㄧㄡ4" - ], - "舆": [ - "ㄩ2" - ], - "與": [ - "ㄩ3", - "ㄩ2", - "ㄩ4" - ], - "興": [ - "ㄒㄧㄥ4", - "ㄒㄧㄥ1", - "ㄒㄧㄣ4" - ], - "舉": [ - "ㄐㄩ3" - ], - "舊": [ - "ㄐㄧㄡ4" - ], - "舋": [ - "ㄒㄧㄣ4" - ], - "舌": [ - "ㄕㄜ2", - "ㄍㄨㄚ1" - ], - "舍": [ - "ㄕㄜ3", - "ㄕㄜ4", - "ㄕ4" - ], - "舎": [ - "ㄕㄜ4" - ], - "舏": [ - "ㄐㄧㄡ3" - ], - "舐": [ - "ㄕ4" - ], - "舑": [ - "ㄊㄢ1" - ], - "舒": [ - "ㄕㄨ1", - "ㄩ4" - ], - "舓": [ - "ㄕ4" - ], - "舔": [ - "ㄊㄧㄢ3", - "ㄊㄢ1" - ], - "舕": [ - "ㄊㄢ4" - ], - "舖": [ - "ㄆㄨ4" - ], - "舗": [ - "ㄆㄨ4" - ], - "舘": [ - "ㄍㄨㄢ3" - ], - "舙": [ - "ㄏㄨㄚ4", - "ㄑㄧ4" - ], - "舚": [ - "ㄊㄧㄢ4" - ], - "舛": [ - "ㄔㄨㄢ3" - ], - "舜": [ - "ㄕㄨㄣ4" - ], - "舝": [ - "ㄒㄧㄚ2" - ], - "舞": [ - "ㄨ3" - ], - "舟": [ - "ㄓㄡ1" - ], - "舠": [ - "ㄉㄠ1" - ], - "舡": [ - "ㄔㄨㄢ2", - "ㄒㄧㄤ1" - ], - "舢": [ - "ㄕㄢ1" - ], - "舣": [ - "ㄧ3" - ], - "舤": [ - "ㄈㄢ2" - ], - "舥": [ - "ㄆㄚ1" - ], - "舦": [ - "ㄊㄞ4" - ], - "舧": [ - "ㄈㄢ2" - ], - "舨": [ - "ㄅㄢ3" - ], - "舩": [ - "ㄔㄨㄢ2", - "ㄈㄢ2" - ], - "航": [ - "ㄏㄤ2" - ], - "舫": [ - "ㄈㄤ3" - ], - "般": [ - "ㄅㄢ1", - "ㄆㄢ2", - "ㄅㄢ3", - "ㄅㄛ1" - ], - "舭": [ - "ㄅㄧ3" - ], - "舮": [ - "ㄌㄨ2" - ], - "舯": [ - "ㄓㄨㄥ1" - ], - "舰": [ - "ㄐㄧㄢ4" - ], - "舱": [ - "ㄘㄤ1" - ], - "舲": [ - "ㄌㄧㄥ2" - ], - "舳": [ - "ㄓㄨ2", - "ㄓㄡ3" - ], - "舴": [ - "ㄗㄜ2" - ], - "舵": [ - "ㄉㄨㄛ4" - ], - "舶": [ - "ㄅㄛ2" - ], - "舷": [ - "ㄒㄧㄢ2" - ], - "舸": [ - "ㄍㄜ3" - ], - "船": [ - "ㄔㄨㄢ2" - ], - "舺": [ - "ㄒㄧㄚ2" - ], - "舻": [ - "ㄌㄨ2" - ], - "舼": [ - "ㄑㄩㄥ2", - "ㄏㄨㄥ2" - ], - "舽": [ - "ㄆㄤ2", - "ㄈㄥ2" - ], - "舾": [ - "ㄒㄧ1" - ], - "舿": [ - "ㄎㄨㄚ1" - ], - "艀": [ - "ㄈㄨ2" - ], - "艁": [ - "ㄗㄠ4" - ], - "艂": [ - "ㄈㄥ2" - ], - "艃": [ - "ㄌㄧ2" - ], - "艄": [ - "ㄕㄠ1", - "ㄕㄠ4" - ], - "艅": [ - "ㄩ2" - ], - "艆": [ - "ㄌㄤ2" - ], - "艇": [ - "ㄊㄧㄥ3" - ], - "艈": [ - "ㄩ4" - ], - "艉": [ - "ㄨㄟ3" - ], - "艊": [ - "ㄅㄛ2" - ], - "艋": [ - "ㄇㄥ3" - ], - "艌": [ - "ㄋㄧㄢ4", - "ㄑㄧㄢ4" - ], - "艍": [ - "ㄐㄩ1" - ], - "艎": [ - "ㄏㄨㄤ2" - ], - "艏": [ - "ㄕㄡ3" - ], - "艐": [ - "ㄎㄜ4", - "ㄐㄧㄝ4", - "ㄗㄨㄥ1" - ], - "艑": [ - "ㄅㄧㄢ4" - ], - "艒": [ - "ㄇㄨ4", - "ㄇㄛ4" - ], - "艓": [ - "ㄉㄧㄝ2" - ], - "艔": [ - "ㄉㄠ4" - ], - "艕": [ - "ㄅㄤ4" - ], - "艖": [ - "ㄔㄚ1" - ], - "艗": [ - "ㄧ4" - ], - "艘": [ - "ㄙㄡ1" - ], - "艙": [ - "ㄘㄤ1" - ], - "艚": [ - "ㄘㄠ2" - ], - "艛": [ - "ㄌㄡ2" - ], - "艜": [ - "ㄉㄞ4" - ], - "艝": [ - "ㄒㄩㄝ3" - ], - "艞": [ - "ㄧㄠ4", - "ㄊㄧㄠ4" - ], - "艟": [ - "ㄔㄨㄥ1", - "ㄓㄨㄤ4", - "ㄊㄨㄥ2" - ], - "艠": [ - "ㄉㄥ1" - ], - "艡": [ - "ㄉㄤ1" - ], - "艢": [ - "ㄑㄧㄤ2" - ], - "艣": [ - "ㄌㄨ3" - ], - "艤": [ - "ㄧ3" - ], - "艥": [ - "ㄐㄧ2" - ], - "艦": [ - "ㄐㄧㄢ4" - ], - "艧": [ - "ㄏㄨㄛ4", - "ㄨㄛ4" - ], - "艨": [ - "ㄇㄥ2" - ], - "艩": [ - "ㄑㄧ2" - ], - "艪": [ - "ㄌㄨ3" - ], - "艫": [ - "ㄌㄨ2" - ], - "艬": [ - "ㄔㄢ2" - ], - "艭": [ - "ㄕㄨㄤ1" - ], - "艮": [ - "ㄍㄣ3", - "ㄍㄣ4", - "ㄏㄣ2" - ], - "良": [ - "ㄌㄧㄤ2", - "ㄌㄧㄤ3" - ], - "艰": [ - "ㄐㄧㄢ1" - ], - "艱": [ - "ㄐㄧㄢ1" - ], - "色": [ - "ㄙㄜ4", - "ㄕㄞ3" - ], - "艳": [ - "ㄧㄢ4" - ], - "艴": [ - "ㄈㄨ2", - "ㄅㄛ2", - "ㄆㄟ4" - ], - "艵": [ - "ㄆㄧㄥ1" - ], - "艶": [ - "ㄧㄢ4" - ], - "艷": [ - "ㄧㄢ4" - ], - "艸": [ - "ㄘㄠ3" - ], - "艹": [ - "ㄘㄠ3" - ], - "艺": [ - "ㄧ4" - ], - "艻": [ - "ㄌㄜ4", - "ㄐㄧ2" - ], - "艼": [ - "ㄊㄧㄥ1", - "ㄉㄧㄥ3" - ], - "艽": [ - "ㄐㄧㄠ1", - "ㄑㄧㄡ2" - ], - "艾": [ - "ㄞ4", - "ㄧ4" - ], - "艿": [ - "ㄋㄞ3", - "ㄖㄥ2", - "ㄖㄥ4" - ], - "芀": [ - "ㄊㄧㄠ2" - ], - "芁": [ - "ㄐㄧㄠ1" - ], - "节": [ - "ㄐㄧㄝ2", - "ㄐㄧㄝ1" - ], - "芃": [ - "ㄆㄥ2" - ], - "芄": [ - "ㄨㄢ2" - ], - "芅": [ - "ㄧ4" - ], - "芆": [ - "ㄔㄞ1", - "ㄔㄚ1" - ], - "芇": [ - "ㄇㄧㄢ2" - ], - "芈": [ - "ㄇㄧ3" - ], - "芉": [ - "ㄍㄢ1", - "ㄍㄢ3" - ], - "芊": [ - "ㄑㄧㄢ1", - "ㄑㄧㄢ4" - ], - "芋": [ - "ㄩ4", - "ㄩ2", - "ㄒㄩ1", - "ㄩ3" - ], - "芌": [ - "ㄩ4" - ], - "芍": [ - "ㄕㄠ2", - "ㄒㄧㄠ4", - "ㄑㄩㄝ4", - "ㄉㄧ4" - ], - "芎": [ - "ㄑㄩㄥ1", - "ㄒㄩㄥ1" - ], - "芏": [ - "ㄉㄨ4" - ], - "芐": [ - "ㄏㄨ4", - "ㄒㄧㄚ4" - ], - "芑": [ - "ㄑㄧ3" - ], - "芒": [ - "ㄇㄤ2", - "ㄏㄨㄤ1", - "ㄏㄨㄤ3", - "ㄨㄤ2" - ], - "芓": [ - "ㄗ4", - "ㄗ3", - "ㄗ1" - ], - "芔": [ - "ㄏㄨㄟ4", - "ㄏㄨ1" - ], - "芕": [ - "ㄙㄨㄟ1" - ], - "芖": [ - "ㄓ4" - ], - "芗": [ - "ㄒㄧㄤ1" - ], - "芘": [ - "ㄆㄧ2", - "ㄅㄧ3", - "ㄅㄧ4" - ], - "芙": [ - "ㄈㄨ2" - ], - "芚": [ - "ㄊㄨㄣ2", - "ㄔㄨㄣ1" - ], - "芛": [ - "ㄨㄟ3" - ], - "芜": [ - "ㄨ2" - ], - "芝": [ - "ㄓ1" - ], - "芞": [ - "ㄑㄧ4" - ], - "芟": [ - "ㄕㄢ1", - "ㄨㄟ3" - ], - "芠": [ - "ㄨㄣ2" - ], - "芡": [ - "ㄑㄧㄢ4" - ], - "芢": [ - "ㄖㄣ2" - ], - "芣": [ - "ㄈㄨ2", - "ㄈㄡ3", - "ㄈㄨ1" - ], - "芤": [ - "ㄎㄡ1" - ], - "芥": [ - "ㄐㄧㄝ4", - "ㄍㄞ4" - ], - "芦": [ - "ㄌㄨ2", - "ㄌㄨ3", - "ㄏㄨ4" - ], - "芧": [ - "ㄒㄩ4", - "ㄓㄨ4" - ], - "芨": [ - "ㄐㄧ1" - ], - "芩": [ - "ㄑㄧㄣ2", - "ㄧㄣ2" - ], - "芪": [ - "ㄑㄧ2", - "ㄔ2" - ], - "芫": [ - "ㄧㄢ2", - "ㄩㄢ2" - ], - "芬": [ - "ㄈㄣ1" - ], - "芭": [ - "ㄅㄚ1", - "ㄆㄚ1" - ], - "芮": [ - "ㄖㄨㄟ4", - "ㄖㄨㄛ4" - ], - "芯": [ - "ㄒㄧㄣ1", - "ㄒㄧㄣ4" - ], - "芰": [ - "ㄐㄧ4" - ], - "花": [ - "ㄏㄨㄚ1" - ], - "芲": [ - "ㄏㄨㄚ1" - ], - "芳": [ - "ㄈㄤ1" - ], - "芴": [ - "ㄨ4", - "ㄏㄨ1" - ], - "芵": [ - "ㄐㄩㄝ2" - ], - "芶": [ - "ㄍㄡ3" - ], - "芷": [ - "ㄓ3" - ], - "芸": [ - "ㄩㄣ2", - "ㄩㄣ4" - ], - "芹": [ - "ㄑㄧㄣ2" - ], - "芺": [ - "ㄠ3" - ], - "芻": [ - "ㄔㄨ2", - "ㄗㄡ1" - ], - "芼": [ - "ㄇㄠ4" - ], - "芽": [ - "ㄧㄚ2" - ], - "芾": [ - "ㄈㄟ4", - "ㄈㄨ2" - ], - "芿": [ - "ㄖㄥ4" - ], - "苀": [ - "ㄏㄤ2" - ], - "苁": [ - "ㄘㄨㄥ1" - ], - "苂": [ - "ㄧㄣ2" - ], - "苃": [ - "ㄧㄡ3" - ], - "苄": [ - "ㄅㄧㄢ4" - ], - "苅": [ - "ㄧ4" - ], - "苆": [ - "ㄑㄧㄝ1" - ], - "苇": [ - "ㄨㄟ3" - ], - "苈": [ - "ㄌㄧ4" - ], - "苉": [ - "ㄆㄧ3" - ], - "苊": [ - "ㄜ4" - ], - "苋": [ - "ㄒㄧㄢ4" - ], - "苌": [ - "ㄔㄤ2" - ], - "苍": [ - "ㄘㄤ1" - ], - "苎": [ - "ㄓㄨ4" - ], - "苏": [ - "ㄙㄨ1" - ], - "苐": [ - "ㄊㄧ2", - "ㄉㄧ4" - ], - "苑": [ - "ㄩㄢ4", - "ㄩㄢ1", - "ㄩ4", - "ㄩㄣ4" - ], - "苒": [ - "ㄖㄢ3" - ], - "苓": [ - "ㄌㄧㄥ2", - "ㄌㄧㄢ2" - ], - "苔": [ - "ㄊㄞ2", - "ㄊㄞ1" - ], - "苕": [ - "ㄕㄠ2", - "ㄊㄧㄠ2" - ], - "苖": [ - "ㄉㄧ2" - ], - "苗": [ - "ㄇㄧㄠ2" - ], - "苘": [ - "ㄑㄧㄥ3" - ], - "苙": [ - "ㄌㄧ4", - "ㄐㄧ1" - ], - "苚": [ - "ㄩㄥ4" - ], - "苛": [ - "ㄎㄜ1", - "ㄏㄜ1" - ], - "苜": [ - "ㄇㄨ4" - ], - "苝": [ - "ㄅㄟ4" - ], - "苞": [ - "ㄅㄠ1", - "ㄆㄠ2", - "ㄅㄧㄠ1" - ], - "苟": [ - "ㄍㄡ3", - "ㄍㄡ1" - ], - "苠": [ - "ㄇㄧㄣ2" - ], - "苡": [ - "ㄧ3" - ], - "苢": [ - "ㄧ3" - ], - "苣": [ - "ㄐㄩ4", - "ㄑㄩ3" - ], - "苤": [ - "ㄆㄧㄝ3", - "ㄆㄧ1" - ], - "若": [ - "ㄖㄨㄛ4", - "ㄖㄜ2", - "ㄖㄜ4", - "ㄖㄜ3" - ], - "苦": [ - "ㄎㄨ3", - "ㄍㄨ3", - "ㄏㄨ4" - ], - "苧": [ - "ㄋㄧㄥ2", - "ㄓㄨ4" - ], - "苨": [ - "ㄋㄧ3" - ], - "苩": [ - "ㄅㄛ2", - "ㄆㄚ1" - ], - "苪": [ - "ㄅㄧㄥ3" - ], - "苫": [ - "ㄕㄢ1", - "ㄕㄢ4", - "ㄊㄧㄢ1", - "ㄔㄢ1" - ], - "苬": [ - "ㄒㄧㄡ2" - ], - "苭": [ - "ㄧㄠ3" - ], - "苮": [ - "ㄒㄧㄢ1" - ], - "苯": [ - "ㄅㄣ3" - ], - "苰": [ - "ㄏㄨㄥ2" - ], - "英": [ - "ㄧㄥ1", - "ㄧㄤ1" - ], - "苲": [ - "ㄓㄚ3", - "ㄓㄚ4", - "ㄗㄨㄛ2" - ], - "苳": [ - "ㄉㄨㄥ1" - ], - "苴": [ - "ㄐㄩ1", - "ㄔㄚ2", - "ㄓㄚ3", - "ㄗㄨ1", - "ㄐㄧㄝ1", - "ㄅㄠ1", - "ㄒㄧㄝ2" - ], - "苵": [ - "ㄉㄧㄝ2" - ], - "苶": [ - "ㄋㄧㄝ2", - "ㄋㄧㄝ4" - ], - "苷": [ - "ㄍㄢ1" - ], - "苸": [ - "ㄏㄨ1" - ], - "苹": [ - "ㄆㄧㄥ2", - "ㄆㄥ1" - ], - "苺": [ - "ㄇㄟ2" - ], - "苻": [ - "ㄈㄨ2", - "ㄆㄨ2" - ], - "苼": [ - "ㄕㄥ1", - "ㄖㄨㄟ2" - ], - "苽": [ - "ㄍㄨ1", - "ㄍㄨㄚ1" - ], - "苾": [ - "ㄅㄧ4", - "ㄅㄧㄝ2", - "ㄇㄧ4" - ], - "苿": [ - "ㄨㄟ4" - ], - "茀": [ - "ㄈㄨ2", - "ㄅㄛ2", - "ㄈㄟ4", - "ㄅㄟ4", - "ㄅㄧ4" - ], - "茁": [ - "ㄓㄨㄛ2", - "ㄓㄨ2" - ], - "茂": [ - "ㄇㄠ4" - ], - "范": [ - "ㄈㄢ4" - ], - "茄": [ - "ㄐㄧㄚ1", - "ㄑㄧㄝ2" - ], - "茅": [ - "ㄇㄠ2" - ], - "茆": [ - "ㄇㄠ2", - "ㄇㄠ3" - ], - "茇": [ - "ㄅㄚ2", - "ㄆㄟ4", - "ㄈㄟ4" - ], - "茈": [ - "ㄘ2", - "ㄗ3", - "ㄘ3", - "ㄔㄞ2" - ], - "茉": [ - "ㄇㄛ4" - ], - "茊": [ - "ㄗ1" - ], - "茋": [ - "ㄓ3", - "ㄉㄧ3" - ], - "茌": [ - "ㄔ2" - ], - "茍": [ - "ㄐㄧ4" - ], - "茎": [ - "ㄐㄧㄥ1" - ], - "茏": [ - "ㄌㄨㄥ2" - ], - "茐": [ - "ㄘㄨㄥ1" - ], - "茑": [ - "ㄋㄧㄠ3" - ], - "茒": [ - "ㄩㄢ2" - ], - "茓": [ - "ㄒㄩㄝ2" - ], - "茔": [ - "ㄧㄥ2" - ], - "茕": [ - "ㄑㄩㄥ2" - ], - "茖": [ - "ㄍㄜ2", - "ㄌㄨㄛ4" - ], - "茗": [ - "ㄇㄧㄥ2" - ], - "茘": [ - "ㄌㄧ4" - ], - "茙": [ - "ㄖㄨㄥ2" - ], - "茚": [ - "ㄧㄣ4" - ], - "茛": [ - "ㄍㄣ4", - "ㄐㄧㄢ4" - ], - "茜": [ - "ㄑㄧㄢ4", - "ㄒㄧ1" - ], - "茝": [ - "ㄔㄞ3", - "ㄓ3" - ], - "茞": [ - "ㄔㄣ2" - ], - "茟": [ - "ㄩ4", - "ㄨㄟ3" - ], - "茠": [ - "ㄏㄠ1", - "ㄒㄧㄡ1", - "ㄎㄡ4" - ], - "茡": [ - "ㄗ4" - ], - "茢": [ - "ㄌㄧㄝ4" - ], - "茣": [ - "ㄨ2" - ], - "茤": [ - "ㄐㄧ4", - "ㄉㄨㄛ1" - ], - "茥": [ - "ㄍㄨㄟ1", - "ㄍㄨㄟ4" - ], - "茦": [ - "ㄘ4" - ], - "茧": [ - "ㄐㄧㄢ3", - "ㄔㄨㄥ2" - ], - "茨": [ - "ㄘ2" - ], - "茩": [ - "ㄍㄡ4" - ], - "茪": [ - "ㄍㄨㄤ1" - ], - "茫": [ - "ㄇㄤ2", - "ㄏㄨㄤ3" - ], - "茬": [ - "ㄔㄚ2", - "ㄔ2" - ], - "茭": [ - "ㄐㄧㄠ1", - "ㄒㄧㄠ4", - "ㄑㄧㄠ4" - ], - "茮": [ - "ㄐㄧㄠ1", - "ㄋㄧㄠ3" - ], - "茯": [ - "ㄈㄨ2" - ], - "茰": [ - "ㄩ2" - ], - "茱": [ - "ㄓㄨ1" - ], - "茲": [ - "ㄗ1", - "ㄘ2" - ], - "茳": [ - "ㄐㄧㄤ1" - ], - "茴": [ - "ㄏㄨㄟ2" - ], - "茵": [ - "ㄧㄣ1" - ], - "茶": [ - "ㄔㄚ2" - ], - "茷": [ - "ㄈㄚ2", - "ㄆㄟ4", - "ㄅㄛ2", - "ㄅㄚ2" - ], - "茸": [ - "ㄖㄨㄥ1", - "ㄖㄨㄥ2", - "ㄖㄨㄥ3" - ], - "茹": [ - "ㄖㄨ2" - ], - "茺": [ - "ㄔㄨㄥ1" - ], - "茻": [ - "ㄇㄤ3", - "ㄇㄨ3" - ], - "茼": [ - "ㄊㄨㄥ2" - ], - "茽": [ - "ㄓㄨㄥ4" - ], - "茾": [ - "ㄑㄧㄢ1" - ], - "茿": [ - "ㄓㄨ2" - ], - "荀": [ - "ㄒㄩㄣ2" - ], - "荁": [ - "ㄏㄨㄢ2" - ], - "荂": [ - "ㄈㄨ1" - ], - "荃": [ - "ㄑㄩㄢ2", - "ㄔㄨㄛ4" - ], - "荄": [ - "ㄍㄞ1" - ], - "荅": [ - "ㄉㄚ1", - "ㄉㄚ2", - "ㄊㄚ4" - ], - "荆": [ - "ㄐㄧㄥ1" - ], - "荇": [ - "ㄒㄧㄥ4" - ], - "荈": [ - "ㄔㄨㄢ3" - ], - "草": [ - "ㄘㄠ3", - "ㄗㄠ4" - ], - "荊": [ - "ㄐㄧㄥ1" - ], - "荋": [ - "ㄦ2" - ], - "荌": [ - "ㄢ4" - ], - "荍": [ - "ㄑㄧㄠ2" - ], - "荎": [ - "ㄔ2" - ], - "荏": [ - "ㄖㄣ3" - ], - "荐": [ - "ㄐㄧㄢ4" - ], - "荑": [ - "ㄊㄧ2", - "ㄧ2" - ], - "荒": [ - "ㄏㄨㄤ1", - "ㄏㄨㄤ3", - "ㄎㄤ1", - "ㄏㄨㄤ2" - ], - "荓": [ - "ㄆㄧㄥ2", - "ㄆㄥ1" - ], - "荔": [ - "ㄌㄧ4" - ], - "荕": [ - "ㄐㄧㄣ1" - ], - "荖": [ - "ㄌㄠ3", - "ㄔㄚ1" - ], - "荗": [ - "ㄕㄨ4" - ], - "荘": [ - "ㄓㄨㄤ1" - ], - "荙": [ - "ㄉㄚ2" - ], - "荚": [ - "ㄐㄧㄚ2" - ], - "荛": [ - "ㄖㄠ2" - ], - "荜": [ - "ㄅㄧ4" - ], - "荝": [ - "ㄘㄜ4" - ], - "荞": [ - "ㄑㄧㄠ2" - ], - "荟": [ - "ㄏㄨㄟ4" - ], - "荠": [ - "ㄐㄧ4", - "ㄑㄧ2" - ], - "荡": [ - "ㄉㄤ4" - ], - "荢": [ - "ㄗ4" - ], - "荣": [ - "ㄖㄨㄥ2" - ], - "荤": [ - "ㄏㄨㄣ1", - "ㄒㄩㄣ1" - ], - "荥": [ - "ㄒㄧㄥ2", - "ㄧㄥ2" - ], - "荦": [ - "ㄌㄨㄛ4" - ], - "荧": [ - "ㄧㄥ2" - ], - "荨": [ - "ㄒㄩㄣ2", - "ㄑㄧㄢ2" - ], - "荩": [ - "ㄐㄧㄣ4" - ], - "荪": [ - "ㄙㄨㄣ1" - ], - "荫": [ - "ㄧㄣ1", - "ㄧㄣ4" - ], - "荬": [ - "ㄇㄞ3" - ], - "荭": [ - "ㄏㄨㄥ2" - ], - "荮": [ - "ㄓㄡ4" - ], - "药": [ - "ㄧㄠ4" - ], - "荰": [ - "ㄉㄨ4" - ], - "荱": [ - "ㄨㄟ3", - "ㄨㄟ4" - ], - "荲": [ - "ㄌㄧ2" - ], - "荳": [ - "ㄉㄡ4" - ], - "荴": [ - "ㄈㄨ1" - ], - "荵": [ - "ㄖㄣ3" - ], - "荶": [ - "ㄧㄣ2" - ], - "荷": [ - "ㄏㄜ2", - "ㄏㄜ4", - "ㄏㄜ1" - ], - "荸": [ - "ㄅㄧ2" - ], - "荹": [ - "ㄅㄨ4", - "ㄆㄨ2" - ], - "荺": [ - "ㄩㄣ3", - "ㄩㄣ2" - ], - "荻": [ - "ㄉㄧ2" - ], - "荼": [ - "ㄊㄨ2", - "ㄔㄚ2", - "ㄧㄝ2", - "ㄕㄨ1" - ], - "荽": [ - "ㄙㄨㄟ1", - "ㄨㄟ3" - ], - "荾": [ - "ㄙㄨㄟ1" - ], - "荿": [ - "ㄔㄥ2" - ], - "莀": [ - "ㄔㄣ2", - "ㄋㄨㄥ2" - ], - "莁": [ - "ㄨ2" - ], - "莂": [ - "ㄅㄧㄝ2" - ], - "莃": [ - "ㄒㄧ1" - ], - "莄": [ - "ㄍㄥ3" - ], - "莅": [ - "ㄌㄧ4" - ], - "莆": [ - "ㄆㄨ2", - "ㄈㄨ3" - ], - "莇": [ - "ㄓㄨ4" - ], - "莈": [ - "ㄇㄛ4" - ], - "莉": [ - "ㄌㄧ4", - "ㄌㄧ2", - "ㄔ2" - ], - "莊": [ - "ㄓㄨㄤ1" - ], - "莋": [ - "ㄗㄨㄛ2", - "ㄐㄧ2" - ], - "莌": [ - "ㄊㄨㄛ1" - ], - "莍": [ - "ㄑㄧㄡ2" - ], - "莎": [ - "ㄕㄚ1", - "ㄙㄨㄛ1", - "ㄙㄨㄟ1" - ], - "莏": [ - "ㄙㄨㄛ1" - ], - "莐": [ - "ㄔㄣ2" - ], - "莑": [ - "ㄆㄥ2", - "ㄈㄥ1" - ], - "莒": [ - "ㄐㄩ3" - ], - "莓": [ - "ㄇㄟ2" - ], - "莔": [ - "ㄇㄥ2", - "ㄒㄧ2", - "ㄑㄧㄥ3" - ], - "莕": [ - "ㄒㄧㄥ4" - ], - "莖": [ - "ㄐㄧㄥ1", - "ㄧㄥ1" - ], - "莗": [ - "ㄔㄜ1" - ], - "莘": [ - "ㄕㄣ1", - "ㄒㄧㄣ1" - ], - "莙": [ - "ㄐㄩㄣ1" - ], - "莚": [ - "ㄧㄢ2" - ], - "莛": [ - "ㄊㄧㄥ2", - "ㄊㄧㄥ3" - ], - "莜": [ - "ㄧㄡ2", - "ㄉㄧㄠ4", - "ㄉㄧ2" - ], - "莝": [ - "ㄘㄨㄛ4" - ], - "莞": [ - "ㄍㄨㄢ3", - "ㄨㄢ3", - "ㄍㄨㄢ1" - ], - "莟": [ - "ㄏㄢ4" - ], - "莠": [ - "ㄧㄡ3", - "ㄒㄧㄡ4" - ], - "莡": [ - "ㄘㄨㄛ4" - ], - "莢": [ - "ㄐㄧㄚ2" - ], - "莣": [ - "ㄨㄤ2" - ], - "莤": [ - "ㄙㄨ4", - "ㄧㄡ2" - ], - "莥": [ - "ㄋㄧㄡ3", - "ㄖㄡ4" - ], - "莦": [ - "ㄕㄠ1", - "ㄒㄧㄠ1" - ], - "莧": [ - "ㄒㄧㄢ4", - "ㄨㄢ4" - ], - "莨": [ - "ㄌㄤ4", - "ㄌㄧㄤ2", - "ㄌㄤ2" - ], - "莩": [ - "ㄈㄨ2", - "ㄆㄧㄠ3" - ], - "莪": [ - "ㄜ2" - ], - "莫": [ - "ㄇㄛ4", - "ㄇㄨ4" - ], - "莬": [ - "ㄨㄣ4", - "ㄨㄢ3", - "ㄇㄧㄢ3" - ], - "莭": [ - "ㄐㄧㄝ2" - ], - "莮": [ - "ㄋㄢ2" - ], - "莯": [ - "ㄇㄨ4" - ], - "莰": [ - "ㄎㄢ3" - ], - "莱": [ - "ㄌㄞ2" - ], - "莲": [ - "ㄌㄧㄢ2" - ], - "莳": [ - "ㄕ2", - "ㄕ4" - ], - "莴": [ - "ㄨㄛ1" - ], - "莵": [ - "ㄊㄨ4" - ], - "莶": [ - "ㄒㄧㄢ1" - ], - "获": [ - "ㄏㄨㄛ4" - ], - "莸": [ - "ㄧㄡ2" - ], - "莹": [ - "ㄧㄥ2" - ], - "莺": [ - "ㄧㄥ1" - ], - "莻": [ - "ㄍㄨㄥ4" - ], - "莼": [ - "ㄔㄨㄣ2" - ], - "莽": [ - "ㄇㄤ3", - "ㄇㄤ2" - ], - "莾": [ - "ㄇㄤ3" - ], - "莿": [ - "ㄘ4" - ], - "菀": [ - "ㄨㄢ3", - "ㄩ4", - "ㄩㄣ4" - ], - "菁": [ - "ㄐㄧㄥ1" - ], - "菂": [ - "ㄉㄧ4" - ], - "菃": [ - "ㄑㄩ2" - ], - "菄": [ - "ㄉㄨㄥ1" - ], - "菅": [ - "ㄐㄧㄢ1", - "ㄍㄨㄢ1" - ], - "菆": [ - "ㄗㄡ1", - "ㄘㄨㄢ2", - "ㄔㄨ4", - "ㄘㄨㄥ2" - ], - "菇": [ - "ㄍㄨ1" - ], - "菈": [ - "ㄌㄚ1" - ], - "菉": [ - "ㄌㄨ4", - "ㄌㄩ4" - ], - "菊": [ - "ㄐㄩ2" - ], - "菋": [ - "ㄨㄟ4" - ], - "菌": [ - "ㄐㄩㄣ1", - "ㄐㄩㄣ4" - ], - "菍": [ - "ㄋㄧㄝ4", - "ㄖㄣ3" - ], - "菎": [ - "ㄎㄨㄣ1" - ], - "菏": [ - "ㄏㄜ2", - "ㄍㄜ1" - ], - "菐": [ - "ㄆㄨ2" - ], - "菑": [ - "ㄗㄞ1", - "ㄗ1", - "ㄗ4" - ], - "菒": [ - "ㄍㄠ3" - ], - "菓": [ - "ㄍㄨㄛ3" - ], - "菔": [ - "ㄈㄨ2" - ], - "菕": [ - "ㄌㄨㄣ2" - ], - "菖": [ - "ㄔㄤ1" - ], - "菗": [ - "ㄔㄡ2" - ], - "菘": [ - "ㄙㄨㄥ1" - ], - "菙": [ - "ㄔㄨㄟ2" - ], - "菚": [ - "ㄓㄢ4" - ], - "菛": [ - "ㄇㄣ2" - ], - "菜": [ - "ㄘㄞ4" - ], - "菝": [ - "ㄅㄚ2" - ], - "菞": [ - "ㄌㄧ2" - ], - "菟": [ - "ㄊㄨ2", - "ㄊㄨ4" - ], - "菠": [ - "ㄅㄛ1" - ], - "菡": [ - "ㄏㄢ4" - ], - "菢": [ - "ㄅㄠ4" - ], - "菣": [ - "ㄑㄧㄣ4" - ], - "菤": [ - "ㄐㄩㄢ3" - ], - "菥": [ - "ㄒㄧ1", - "ㄙ1" - ], - "菦": [ - "ㄑㄧㄣ2" - ], - "菧": [ - "ㄉㄧ3" - ], - "菨": [ - "ㄐㄧㄝ1", - "ㄕㄚ4" - ], - "菩": [ - "ㄆㄨ2", - "ㄅㄟ4", - "ㄅㄛ2" - ], - "菪": [ - "ㄉㄤ4" - ], - "菫": [ - "ㄐㄧㄣ3" - ], - "菬": [ - "ㄑㄧㄠ2", - "ㄓㄠ3" - ], - "菭": [ - "ㄊㄞ2", - "ㄓ1", - "ㄔ2" - ], - "菮": [ - "ㄍㄥ1" - ], - "華": [ - "ㄏㄨㄚ2", - "ㄏㄨㄚ1", - "ㄏㄨㄚ4", - "ㄎㄨㄚ1" - ], - "菰": [ - "ㄍㄨ1" - ], - "菱": [ - "ㄌㄧㄥ2" - ], - "菲": [ - "ㄈㄟ1", - "ㄈㄟ3", - "ㄈㄟ4" - ], - "菳": [ - "ㄑㄧㄣ2", - "ㄑㄧㄣ1", - "ㄐㄧㄣ1" - ], - "菴": [ - "ㄢ1", - "ㄧㄢ3" - ], - "菵": [ - "ㄨㄤ3" - ], - "菶": [ - "ㄅㄥ3" - ], - "菷": [ - "ㄓㄡ3" - ], - "菸": [ - "ㄧㄢ1", - "ㄩ1", - "ㄩ4" - ], - "菹": [ - "ㄐㄩ1", - "ㄗㄨ1", - "ㄐㄩ4" - ], - "菺": [ - "ㄐㄧㄢ1" - ], - "菻": [ - "ㄌㄧㄣ3" - ], - "菼": [ - "ㄊㄢ3" - ], - "菽": [ - "ㄕㄨ1", - "ㄐㄧㄠ1" - ], - "菾": [ - "ㄊㄧㄢ2", - "ㄊㄧㄢ4" - ], - "菿": [ - "ㄉㄠ4", - "ㄉㄠ3" - ], - "萀": [ - "ㄏㄨ3" - ], - "萁": [ - "ㄑㄧ2", - "ㄐㄧ1" - ], - "萂": [ - "ㄏㄜ2" - ], - "萃": [ - "ㄘㄨㄟ4" - ], - "萄": [ - "ㄊㄠ2" - ], - "萅": [ - "ㄔㄨㄣ1" - ], - "萆": [ - "ㄅㄧ4", - "ㄆㄧ4", - "ㄅㄟ1", - "ㄅㄚ2" - ], - "萇": [ - "ㄔㄤ2" - ], - "萈": [ - "ㄏㄨㄢ2" - ], - "萉": [ - "ㄈㄟ4", - "ㄈㄟ2", - "ㄈㄨ2" - ], - "萊": [ - "ㄌㄞ2" - ], - "萋": [ - "ㄑㄧ1" - ], - "萌": [ - "ㄇㄥ2", - "ㄇㄧㄥ2" - ], - "萍": [ - "ㄆㄧㄥ2" - ], - "萎": [ - "ㄨㄟ1", - "ㄨㄟ3", - "ㄨㄟ4" - ], - "萏": [ - "ㄉㄢ4" - ], - "萐": [ - "ㄕㄚ4" - ], - "萑": [ - "ㄏㄨㄢ2", - "ㄓㄨㄟ1" - ], - "萒": [ - "ㄧㄢ3", - "ㄐㄩㄢ4" - ], - "萓": [ - "ㄧ2" - ], - "萔": [ - "ㄊㄧㄠ2" - ], - "萕": [ - "ㄑㄧ2" - ], - "萖": [ - "ㄨㄢ3" - ], - "萗": [ - "ㄘㄜ4" - ], - "萘": [ - "ㄋㄞ4" - ], - "萙": [ - "ㄓㄣ3" - ], - "萚": [ - "ㄊㄨㄛ4" - ], - "萛": [ - "ㄐㄧㄡ1" - ], - "萜": [ - "ㄊㄧㄝ1" - ], - "萝": [ - "ㄌㄨㄛ2" - ], - "萞": [ - "ㄅㄧ4" - ], - "萟": [ - "ㄧ4" - ], - "萠": [ - "ㄆㄢ1" - ], - "萡": [ - "ㄅㄛ5" - ], - "萢": [ - "ㄆㄠ1" - ], - "萣": [ - "ㄉㄧㄥ4" - ], - "萤": [ - "ㄧㄥ2" - ], - "营": [ - "ㄧㄥ2" - ], - "萦": [ - "ㄧㄥ2" - ], - "萧": [ - "ㄒㄧㄠ1" - ], - "萨": [ - "ㄙㄚ4" - ], - "萩": [ - "ㄑㄧㄡ1", - "ㄐㄧㄠ1" - ], - "萪": [ - "ㄎㄜ1" - ], - "萫": [ - "ㄒㄧㄤ4" - ], - "萬": [ - "ㄨㄢ4" - ], - "萭": [ - "ㄩ3", - "ㄐㄩ3" - ], - "萮": [ - "ㄩ2", - "ㄩ3", - "ㄩ4" - ], - "萯": [ - "ㄈㄨ4", - "ㄅㄟ4" - ], - "萰": [ - "ㄌㄧㄢ4" - ], - "萱": [ - "ㄒㄩㄢ1" - ], - "萲": [ - "ㄒㄩㄢ1" - ], - "萳": [ - "ㄋㄢ3", - "ㄋㄢ2" - ], - "萴": [ - "ㄘㄜ4" - ], - "萵": [ - "ㄨㄛ1" - ], - "萶": [ - "ㄔㄨㄣ3" - ], - "萷": [ - "ㄒㄧㄠ1", - "ㄕㄠ1", - "ㄕㄨㄛ4" - ], - "萸": [ - "ㄩ2" - ], - "萹": [ - "ㄅㄧㄢ3", - "ㄅㄧㄢ1", - "ㄆㄧㄢ2" - ], - "萺": [ - "ㄇㄠ4", - "ㄇㄨ4" - ], - "萻": [ - "ㄢ1" - ], - "萼": [ - "ㄜ4" - ], - "落": [ - "ㄌㄨㄛ4", - "ㄌㄚ4", - "ㄌㄠ4", - "ㄌㄨㄛ1" - ], - "萾": [ - "ㄧㄥ2" - ], - "萿": [ - "ㄎㄨㄛ4", - "ㄏㄨㄛ2" - ], - "葀": [ - "ㄎㄨㄛ4" - ], - "葁": [ - "ㄐㄧㄤ1" - ], - "葂": [ - "ㄇㄧㄢ3" - ], - "葃": [ - "ㄗㄨㄛ4", - "ㄗㄜ2" - ], - "葄": [ - "ㄗㄨㄛ4" - ], - "葅": [ - "ㄗㄨ1" - ], - "葆": [ - "ㄅㄠ3", - "ㄅㄠ1" - ], - "葇": [ - "ㄖㄡ2", - "ㄖㄡ3" - ], - "葈": [ - "ㄒㄧ3" - ], - "葉": [ - "ㄧㄝ4", - "ㄕㄜ4" - ], - "葊": [ - "ㄢ1" - ], - "葋": [ - "ㄑㄩ2" - ], - "葌": [ - "ㄐㄧㄢ1" - ], - "葍": [ - "ㄈㄨ2" - ], - "葎": [ - "ㄌㄩ4" - ], - "葏": [ - "ㄐㄧㄥ1" - ], - "葐": [ - "ㄆㄣ2", - "ㄈㄣ2" - ], - "葑": [ - "ㄈㄥ1", - "ㄈㄥ4" - ], - "葒": [ - "ㄏㄨㄥ2" - ], - "葓": [ - "ㄏㄨㄥ2" - ], - "葔": [ - "ㄏㄡ2" - ], - "葕": [ - "ㄧㄢ4" - ], - "葖": [ - "ㄊㄨ1" - ], - "著": [ - "ㄓㄨ4", - "ㄓㄜ5", - "ㄓㄨㄛ2", - "ㄔㄨ2", - "ㄓㄠ1", - "ㄓㄠ2" - ], - "葘": [ - "ㄗ1" - ], - "葙": [ - "ㄒㄧㄤ1" - ], - "葚": [ - "ㄖㄣ4", - "ㄕㄣ4" - ], - "葛": [ - "ㄍㄜ2", - "ㄍㄜ3" - ], - "葜": [ - "ㄑㄧㄚ1" - ], - "葝": [ - "ㄑㄧㄥ2", - "ㄐㄧㄥ4" - ], - "葞": [ - "ㄇㄧ3" - ], - "葟": [ - "ㄏㄨㄤ2" - ], - "葠": [ - "ㄕㄣ1", - "ㄕㄢ1" - ], - "葡": [ - "ㄆㄨ2", - "ㄅㄟ4" - ], - "葢": [ - "ㄍㄞ4" - ], - "董": [ - "ㄉㄨㄥ3", - "ㄓㄨㄥ3" - ], - "葤": [ - "ㄓㄡ4" - ], - "葥": [ - "ㄐㄧㄢ4", - "ㄑㄧㄢ2" - ], - "葦": [ - "ㄨㄟ3" - ], - "葧": [ - "ㄅㄛ2" - ], - "葨": [ - "ㄨㄟ1" - ], - "葩": [ - "ㄆㄚ1" - ], - "葪": [ - "ㄐㄧ4" - ], - "葫": [ - "ㄏㄨ2" - ], - "葬": [ - "ㄗㄤ4" - ], - "葭": [ - "ㄐㄧㄚ1", - "ㄒㄧㄚ2" - ], - "葮": [ - "ㄉㄨㄢ4" - ], - "葯": [ - "ㄧㄠ4" - ], - "葰": [ - "ㄙㄨㄟ1", - "ㄐㄩㄣ4", - "ㄙㄨㄛ3" - ], - "葱": [ - "ㄘㄨㄥ1", - "ㄔㄨㄤ1" - ], - "葲": [ - "ㄑㄩㄢ2" - ], - "葳": [ - "ㄨㄟ1" - ], - "葴": [ - "ㄓㄣ1", - "ㄑㄧㄢ2" - ], - "葵": [ - "ㄎㄨㄟ2" - ], - "葶": [ - "ㄊㄧㄥ2", - "ㄉㄧㄥ3" - ], - "葷": [ - "ㄏㄨㄣ1", - "ㄒㄩㄣ1" - ], - "葸": [ - "ㄒㄧ3" - ], - "葹": [ - "ㄕ1" - ], - "葺": [ - "ㄑㄧ4" - ], - "葻": [ - "ㄌㄢ2" - ], - "葼": [ - "ㄗㄨㄥ1" - ], - "葽": [ - "ㄧㄠ1", - "ㄧㄠ3" - ], - "葾": [ - "ㄩㄢ1" - ], - "葿": [ - "ㄇㄟ2" - ], - "蒀": [ - "ㄩㄣ1" - ], - "蒁": [ - "ㄕㄨ4" - ], - "蒂": [ - "ㄉㄧ4" - ], - "蒃": [ - "ㄓㄨㄢ4" - ], - "蒄": [ - "ㄍㄨㄢ1" - ], - "蒅": [ - "ㄖㄢ3" - ], - "蒆": [ - "ㄒㄩㄝ1" - ], - "蒇": [ - "ㄔㄢ3" - ], - "蒈": [ - "ㄎㄞ3" - ], - "蒉": [ - "ㄎㄨㄟ4" - ], - "蒊": [ - "ㄏㄨㄚ1" - ], - "蒋": [ - "ㄐㄧㄤ3" - ], - "蒌": [ - "ㄌㄡ2" - ], - "蒍": [ - "ㄨㄟ3", - "ㄏㄨㄚ1", - "ㄎㄨㄟ1", - "ㄜ2" - ], - "蒎": [ - "ㄆㄞ4" - ], - "蒏": [ - "ㄧㄡ5" - ], - "蒐": [ - "ㄙㄡ1", - "ㄏㄨㄟ4" - ], - "蒑": [ - "ㄧㄣ1" - ], - "蒒": [ - "ㄕ1" - ], - "蒓": [ - "ㄔㄨㄣ2" - ], - "蒔": [ - "ㄕ2", - "ㄕ4" - ], - "蒕": [ - "ㄩㄣ1" - ], - "蒖": [ - "ㄓㄣ1" - ], - "蒗": [ - "ㄌㄤ4" - ], - "蒘": [ - "ㄖㄨ2", - "ㄋㄚ2" - ], - "蒙": [ - "ㄇㄥ2", - "ㄇㄥ1", - "ㄇㄥ3" - ], - "蒚": [ - "ㄌㄧ4" - ], - "蒛": [ - "ㄑㄩㄝ1" - ], - "蒜": [ - "ㄙㄨㄢ4" - ], - "蒝": [ - "ㄩㄢ2", - "ㄏㄨㄢ2" - ], - "蒞": [ - "ㄌㄧ4" - ], - "蒟": [ - "ㄐㄩ3" - ], - "蒠": [ - "ㄒㄧ1" - ], - "蒡": [ - "ㄅㄤ4", - "ㄆㄤ2" - ], - "蒢": [ - "ㄔㄨ2" - ], - "蒣": [ - "ㄒㄩ2", - "ㄕㄨ2" - ], - "蒤": [ - "ㄊㄨ2" - ], - "蒥": [ - "ㄌㄧㄡ2" - ], - "蒦": [ - "ㄏㄨㄛ4", - "ㄨㄛ4" - ], - "蒧": [ - "ㄉㄧㄢ3" - ], - "蒨": [ - "ㄑㄧㄢ4" - ], - "蒩": [ - "ㄗㄨ1", - "ㄐㄩ4", - "ㄐㄧ2" - ], - "蒪": [ - "ㄆㄛ4" - ], - "蒫": [ - "ㄘㄨㄛ2" - ], - "蒬": [ - "ㄩㄢ1" - ], - "蒭": [ - "ㄔㄨ2" - ], - "蒮": [ - "ㄩ4" - ], - "蒯": [ - "ㄎㄨㄞ3", - "ㄎㄨㄞ4" - ], - "蒰": [ - "ㄆㄢ2" - ], - "蒱": [ - "ㄆㄨ2" - ], - "蒲": [ - "ㄆㄨ2", - "ㄅㄛ2" - ], - "蒳": [ - "ㄋㄚ4" - ], - "蒴": [ - "ㄕㄨㄛ4" - ], - "蒵": [ - "ㄒㄧ2", - "ㄒㄧ4" - ], - "蒶": [ - "ㄈㄣ2" - ], - "蒷": [ - "ㄩㄣ2" - ], - "蒸": [ - "ㄓㄥ1" - ], - "蒹": [ - "ㄐㄧㄢ1" - ], - "蒺": [ - "ㄐㄧ2" - ], - "蒻": [ - "ㄖㄨㄛ4" - ], - "蒼": [ - "ㄘㄤ1", - "ㄘㄤ3" - ], - "蒽": [ - "ㄣ1" - ], - "蒾": [ - "ㄇㄧ2" - ], - "蒿": [ - "ㄏㄠ1", - "ㄍㄠ3" - ], - "蓀": [ - "ㄙㄨㄣ1" - ], - "蓁": [ - "ㄓㄣ1", - "ㄑㄧㄣ2" - ], - "蓂": [ - "ㄇㄧㄥ2", - "ㄇㄧ4" - ], - "蓃": [ - "ㄙㄡ1", - "ㄙㄡ3" - ], - "蓄": [ - "ㄒㄩ4" - ], - "蓅": [ - "ㄌㄧㄡ2" - ], - "蓆": [ - "ㄒㄧ2" - ], - "蓇": [ - "ㄍㄨ3", - "ㄍㄨ1" - ], - "蓈": [ - "ㄌㄤ2" - ], - "蓉": [ - "ㄖㄨㄥ2" - ], - "蓊": [ - "ㄨㄥ3" - ], - "蓋": [ - "ㄍㄞ4", - "ㄍㄜ3" - ], - "蓌": [ - "ㄘㄨㄛ4" - ], - "蓍": [ - "ㄕ1" - ], - "蓎": [ - "ㄊㄤ2" - ], - "蓏": [ - "ㄌㄨㄛ3" - ], - "蓐": [ - "ㄖㄨ4" - ], - "蓑": [ - "ㄙㄨㄛ1", - "ㄙㄨㄟ1" - ], - "蓒": [ - "ㄒㄩㄢ1" - ], - "蓓": [ - "ㄅㄟ4" - ], - "蓔": [ - "ㄧㄠ3", - "ㄓㄨㄛ2" - ], - "蓕": [ - "ㄍㄨㄟ4" - ], - "蓖": [ - "ㄅㄧ4" - ], - "蓗": [ - "ㄗㄨㄥ3" - ], - "蓘": [ - "ㄍㄨㄣ3" - ], - "蓙": [ - "ㄗㄨㄛ4" - ], - "蓚": [ - "ㄊㄧㄠ2" - ], - "蓛": [ - "ㄘㄜ4" - ], - "蓜": [ - "ㄆㄟ4" - ], - "蓝": [ - "ㄌㄢ2", - "ㄌㄚ5" - ], - "蓞": [ - "ㄉㄢ4" - ], - "蓟": [ - "ㄐㄧ4" - ], - "蓠": [ - "ㄌㄧ2" - ], - "蓡": [ - "ㄕㄣ1" - ], - "蓢": [ - "ㄌㄤ3" - ], - "蓣": [ - "ㄩ4" - ], - "蓤": [ - "ㄌㄧㄥ2" - ], - "蓥": [ - "ㄧㄥ2" - ], - "蓦": [ - "ㄇㄛ4" - ], - "蓧": [ - "ㄉㄧㄠ4", - "ㄊㄧㄠ2", - "ㄉㄧ2" - ], - "蓨": [ - "ㄊㄧㄠ2", - "ㄒㄧㄡ1" - ], - "蓩": [ - "ㄇㄠ3" - ], - "蓪": [ - "ㄊㄨㄥ1" - ], - "蓫": [ - "ㄔㄨ4", - "ㄓㄨ2" - ], - "蓬": [ - "ㄆㄥ2", - "ㄆㄥ4" - ], - "蓭": [ - "ㄢ1" - ], - "蓮": [ - "ㄌㄧㄢ2", - "ㄌㄧㄢ3" - ], - "蓯": [ - "ㄘㄨㄥ1", - "ㄗㄨㄥ3", - "ㄙㄨㄥ3" - ], - "蓰": [ - "ㄒㄧ3" - ], - "蓱": [ - "ㄆㄧㄥ2" - ], - "蓲": [ - "ㄑㄧㄡ1", - "ㄡ1", - "ㄒㄩ1", - "ㄈㄨ1" - ], - "蓳": [ - "ㄐㄧㄣ3" - ], - "蓴": [ - "ㄔㄨㄣ2", - "ㄊㄨㄢ2" - ], - "蓵": [ - "ㄐㄧㄝ2" - ], - "蓶": [ - "ㄨㄟ2" - ], - "蓷": [ - "ㄊㄨㄟ1" - ], - "蓸": [ - "ㄘㄠ2" - ], - "蓹": [ - "ㄩ4" - ], - "蓺": [ - "ㄧ4" - ], - "蓻": [ - "ㄗ2", - "ㄐㄩ2" - ], - "蓼": [ - "ㄌㄧㄠ3", - "ㄌㄨ4", - "ㄌㄠ3", - "ㄌㄧㄡ3" - ], - "蓽": [ - "ㄅㄧ4" - ], - "蓾": [ - "ㄌㄨ3" - ], - "蓿": [ - "ㄒㄩ5", - "ㄙㄨ4" - ], - "蔀": [ - "ㄅㄨ4" - ], - "蔁": [ - "ㄓㄤ1" - ], - "蔂": [ - "ㄌㄟ2" - ], - "蔃": [ - "ㄑㄧㄤ2", - "ㄐㄧㄤ4" - ], - "蔄": [ - "ㄇㄢ4" - ], - "蔅": [ - "ㄧㄢ2" - ], - "蔆": [ - "ㄌㄧㄥ2" - ], - "蔇": [ - "ㄐㄧ4", - "ㄒㄧ4" - ], - "蔈": [ - "ㄅㄧㄠ1", - "ㄆㄧㄠ4", - "ㄆㄧㄠ3", - "ㄅㄧㄠ4" - ], - "蔉": [ - "ㄍㄨㄣ3" - ], - "蔊": [ - "ㄏㄢ3", - "ㄏㄢ4" - ], - "蔋": [ - "ㄉㄧ2" - ], - "蔌": [ - "ㄙㄨ4" - ], - "蔍": [ - "ㄌㄨ4", - "ㄘㄨ1" - ], - "蔎": [ - "ㄕㄜ4" - ], - "蔏": [ - "ㄕㄤ1" - ], - "蔐": [ - "ㄉㄧ2" - ], - "蔑": [ - "ㄇㄧㄝ4" - ], - "蔒": [ - "ㄒㄩㄣ1" - ], - "蔓": [ - "ㄇㄢ4", - "ㄇㄢ2", - "ㄨㄢ4" - ], - "蔔": [ - "ㄅㄛ2", - "ㄅㄛ5" - ], - "蔕": [ - "ㄉㄧ4", - "ㄉㄞ4", - "ㄔㄞ4" - ], - "蔖": [ - "ㄘㄨㄛ2", - "ㄘㄨ3", - "ㄓㄚ1" - ], - "蔗": [ - "ㄓㄜ4" - ], - "蔘": [ - "ㄕㄣ1", - "ㄙㄢ1", - "ㄙㄢ3" - ], - "蔙": [ - "ㄒㄩㄢ4" - ], - "蔚": [ - "ㄨㄟ4", - "ㄩ4" - ], - "蔛": [ - "ㄏㄨ2" - ], - "蔜": [ - "ㄠ2" - ], - "蔝": [ - "ㄇㄧ3" - ], - "蔞": [ - "ㄌㄡ2", - "ㄌㄩ3", - "ㄐㄩ4", - "ㄌㄧㄡ3" - ], - "蔟": [ - "ㄘㄨ4", - "ㄘㄡ4", - "ㄔㄨㄛ4" - ], - "蔠": [ - "ㄓㄨㄥ1" - ], - "蔡": [ - "ㄘㄞ4", - "ㄙㄚ4", - "ㄘㄚ1" - ], - "蔢": [ - "ㄆㄛ2", - "ㄅㄛ4" - ], - "蔣": [ - "ㄐㄧㄤ3", - "ㄐㄧㄤ1" - ], - "蔤": [ - "ㄇㄧ4" - ], - "蔥": [ - "ㄘㄨㄥ1" - ], - "蔦": [ - "ㄋㄧㄠ3" - ], - "蔧": [ - "ㄏㄨㄟ4" - ], - "蔨": [ - "ㄐㄩㄢ4", - "ㄐㄩㄣ4" - ], - "蔩": [ - "ㄧㄣ2" - ], - "蔪": [ - "ㄐㄧㄢ4", - "ㄐㄧㄢ1", - "ㄕㄢ1" - ], - "蔫": [ - "ㄋㄧㄢ1", - "ㄧㄢ1", - "ㄧㄢ4" - ], - "蔬": [ - "ㄕㄨ1", - "ㄕㄨ3" - ], - "蔭": [ - "ㄧㄣ1", - "ㄧㄣ4" - ], - "蔮": [ - "ㄍㄨㄛ2" - ], - "蔯": [ - "ㄔㄣ2" - ], - "蔰": [ - "ㄏㄨ4" - ], - "蔱": [ - "ㄕㄚ1" - ], - "蔲": [ - "ㄎㄡ4" - ], - "蔳": [ - "ㄑㄧㄢ4" - ], - "蔴": [ - "ㄇㄚ2" - ], - "蔵": [ - "ㄗㄤ1", - "ㄘㄤ2" - ], - "蔶": [ - "ㄗㄜ2" - ], - "蔷": [ - "ㄑㄧㄤ2" - ], - "蔸": [ - "ㄉㄡ1" - ], - "蔹": [ - "ㄌㄧㄢ3" - ], - "蔺": [ - "ㄌㄧㄣ4" - ], - "蔻": [ - "ㄎㄡ4" - ], - "蔼": [ - "ㄞ3" - ], - "蔽": [ - "ㄅㄧ4", - "ㄅㄧㄝ1", - "ㄆㄧㄝ1" - ], - "蔾": [ - "ㄌㄧ2" - ], - "蔿": [ - "ㄨㄟ3" - ], - "蕀": [ - "ㄐㄧ2" - ], - "蕁": [ - "ㄑㄧㄢ2", - "ㄊㄢ2", - "ㄒㄩㄣ2" - ], - "蕂": [ - "ㄕㄥ4" - ], - "蕃": [ - "ㄈㄢ1", - "ㄅㄛ1", - "ㄈㄢ2", - "ㄆㄧ2" - ], - "蕄": [ - "ㄇㄥ2" - ], - "蕅": [ - "ㄡ3" - ], - "蕆": [ - "ㄔㄢ3" - ], - "蕇": [ - "ㄉㄧㄢ3" - ], - "蕈": [ - "ㄒㄩㄣ4", - "ㄊㄢ2" - ], - "蕉": [ - "ㄐㄧㄠ1", - "ㄑㄧㄠ2", - "ㄑㄧㄠ1" - ], - "蕊": [ - "ㄖㄨㄟ3", - "ㄐㄩㄢ3" - ], - "蕋": [ - "ㄖㄨㄟ3" - ], - "蕌": [ - "ㄌㄟ3" - ], - "蕍": [ - "ㄩ2" - ], - "蕎": [ - "ㄑㄧㄠ2", - "ㄐㄧㄠ1" - ], - "蕏": [ - "ㄔㄨ2" - ], - "蕐": [ - "ㄏㄨㄚ2" - ], - "蕑": [ - "ㄐㄧㄢ1" - ], - "蕒": [ - "ㄇㄞ3" - ], - "蕓": [ - "ㄩㄣ2" - ], - "蕔": [ - "ㄅㄠ1" - ], - "蕕": [ - "ㄧㄡ2" - ], - "蕖": [ - "ㄑㄩ2" - ], - "蕗": [ - "ㄌㄨ4" - ], - "蕘": [ - "ㄖㄠ2", - "ㄧㄠ2" - ], - "蕙": [ - "ㄏㄨㄟ4" - ], - "蕚": [ - "ㄜ4" - ], - "蕛": [ - "ㄊㄧ2" - ], - "蕜": [ - "ㄈㄟ3" - ], - "蕝": [ - "ㄐㄩㄝ2", - "ㄗㄨㄟ4" - ], - "蕞": [ - "ㄗㄨㄟ4", - "ㄐㄩㄝ2", - "ㄓㄨㄛ2" - ], - "蕟": [ - "ㄈㄚ4", - "ㄈㄟ4" - ], - "蕠": [ - "ㄖㄨ2" - ], - "蕡": [ - "ㄈㄣ2", - "ㄈㄟ4" - ], - "蕢": [ - "ㄎㄨㄟ4", - "ㄎㄨㄞ4" - ], - "蕣": [ - "ㄕㄨㄣ4" - ], - "蕤": [ - "ㄖㄨㄟ2" - ], - "蕥": [ - "ㄧㄚ3" - ], - "蕦": [ - "ㄒㄩ1" - ], - "蕧": [ - "ㄈㄨ4" - ], - "蕨": [ - "ㄐㄩㄝ2" - ], - "蕩": [ - "ㄉㄤ4", - "ㄊㄤ1", - "ㄊㄤ4" - ], - "蕪": [ - "ㄨ2", - "ㄨ3" - ], - "蕫": [ - "ㄉㄨㄥ3" - ], - "蕬": [ - "ㄙ1" - ], - "蕭": [ - "ㄒㄧㄠ1" - ], - "蕮": [ - "ㄒㄧ4" - ], - "蕯": [ - "ㄌㄨㄥ2" - ], - "蕰": [ - "ㄨㄣ1", - "ㄩㄣ4" - ], - "蕱": [ - "ㄕㄠ1" - ], - "蕲": [ - "ㄑㄧ2" - ], - "蕳": [ - "ㄐㄧㄢ1" - ], - "蕴": [ - "ㄩㄣ4" - ], - "蕵": [ - "ㄙㄨㄣ1" - ], - "蕶": [ - "ㄌㄧㄥ2" - ], - "蕷": [ - "ㄩ4" - ], - "蕸": [ - "ㄒㄧㄚ2" - ], - "蕹": [ - "ㄨㄥ4", - "ㄩㄥ1" - ], - "蕺": [ - "ㄐㄧ2", - "ㄑㄧㄝ4" - ], - "蕻": [ - "ㄏㄨㄥ2", - "ㄏㄨㄥ4" - ], - "蕼": [ - "ㄙ4" - ], - "蕽": [ - "ㄋㄨㄥ2" - ], - "蕾": [ - "ㄌㄟ3" - ], - "蕿": [ - "ㄒㄩㄢ1" - ], - "薀": [ - "ㄩㄣ4" - ], - "薁": [ - "ㄩ4", - "ㄠ4" - ], - "薂": [ - "ㄒㄧ2", - "ㄒㄧㄠ4" - ], - "薃": [ - "ㄏㄠ4" - ], - "薄": [ - "ㄅㄠ2", - "ㄅㄛ2", - "ㄅㄛ4", - "ㄅㄨ4" - ], - "薅": [ - "ㄏㄠ1" - ], - "薆": [ - "ㄞ4" - ], - "薇": [ - "ㄨㄟ1" - ], - "薈": [ - "ㄏㄨㄟ4" - ], - "薉": [ - "ㄏㄨㄟ4" - ], - "薊": [ - "ㄐㄧ4" - ], - "薋": [ - "ㄘ2", - "ㄗ1" - ], - "薌": [ - "ㄒㄧㄤ1", - "ㄒㄧㄤ3" - ], - "薍": [ - "ㄨㄢ4", - "ㄌㄨㄢ4" - ], - "薎": [ - "ㄇㄧㄝ4" - ], - "薏": [ - "ㄧ4" - ], - "薐": [ - "ㄌㄥ2" - ], - "薑": [ - "ㄐㄧㄤ1" - ], - "薒": [ - "ㄘㄢ4" - ], - "薓": [ - "ㄕㄣ1" - ], - "薔": [ - "ㄑㄧㄤ2", - "ㄙㄜ4" - ], - "薕": [ - "ㄌㄧㄢ2" - ], - "薖": [ - "ㄎㄜ1" - ], - "薗": [ - "ㄩㄢ2" - ], - "薘": [ - "ㄉㄚ2" - ], - "薙": [ - "ㄊㄧ4", - "ㄓ4" - ], - "薚": [ - "ㄊㄤ1" - ], - "薛": [ - "ㄒㄩㄝ1" - ], - "薜": [ - "ㄅㄧ4", - "ㄅㄛ4", - "ㄅㄛ2", - "ㄅㄞ4", - "ㄆㄧ4" - ], - "薝": [ - "ㄓㄢ1" - ], - "薞": [ - "ㄙㄨㄣ1" - ], - "薟": [ - "ㄒㄧㄢ1", - "ㄌㄧㄢ3", - "ㄧㄢ2", - "ㄎㄢ4" - ], - "薠": [ - "ㄈㄢ2" - ], - "薡": [ - "ㄉㄧㄥ3" - ], - "薢": [ - "ㄒㄧㄝ4" - ], - "薣": [ - "ㄍㄨ3" - ], - "薤": [ - "ㄒㄧㄝ4" - ], - "薥": [ - "ㄕㄨ3", - "ㄓㄨ2" - ], - "薦": [ - "ㄐㄧㄢ4" - ], - "薧": [ - "ㄏㄠ1", - "ㄎㄠ3" - ], - "薨": [ - "ㄏㄨㄥ1" - ], - "薩": [ - "ㄙㄚ4" - ], - "薪": [ - "ㄒㄧㄣ1" - ], - "薫": [ - "ㄒㄩㄣ1" - ], - "薬": [ - "ㄧㄠ4" - ], - "薭": [ - "ㄅㄞ4" - ], - "薮": [ - "ㄙㄡ3" - ], - "薯": [ - "ㄕㄨ3" - ], - "薰": [ - "ㄒㄩㄣ1" - ], - "薱": [ - "ㄉㄨㄟ4" - ], - "薲": [ - "ㄆㄧㄣ2" - ], - "薳": [ - "ㄨㄟ3", - "ㄩㄢ3" - ], - "薴": [ - "ㄋㄧㄥ2" - ], - "薵": [ - "ㄔㄡ2", - "ㄓㄡ4", - "ㄉㄠ4" - ], - "薶": [ - "ㄇㄞ2", - "ㄨㄛ1" - ], - "薷": [ - "ㄖㄨ2" - ], - "薸": [ - "ㄆㄧㄠ2" - ], - "薹": [ - "ㄊㄞ2" - ], - "薺": [ - "ㄐㄧ4", - "ㄘ2", - "ㄑㄧ4", - "ㄑㄧ2" - ], - "薻": [ - "ㄗㄠ3" - ], - "薼": [ - "ㄔㄣ2" - ], - "薽": [ - "ㄓㄣ1" - ], - "薾": [ - "ㄦ3" - ], - "薿": [ - "ㄋㄧ3" - ], - "藀": [ - "ㄧㄥ2" - ], - "藁": [ - "ㄍㄠ3" - ], - "藂": [ - "ㄘㄨㄥ2", - "ㄘㄨㄥ4" - ], - "藃": [ - "ㄒㄧㄠ1", - "ㄏㄠ4", - "ㄏㄜ4" - ], - "藄": [ - "ㄑㄧ2" - ], - "藅": [ - "ㄈㄚ2" - ], - "藆": [ - "ㄐㄧㄢ3" - ], - "藇": [ - "ㄒㄩ4", - "ㄩ3", - "ㄩ2", - "ㄩ4", - "ㄒㄩ1" - ], - "藈": [ - "ㄎㄨㄟ2" - ], - "藉": [ - "ㄐㄧ2", - "ㄐㄧㄝ4" - ], - "藊": [ - "ㄅㄧㄢ3" - ], - "藋": [ - "ㄉㄧㄠ4", - "ㄉㄧ2", - "ㄓㄨㄛ2" - ], - "藌": [ - "ㄇㄧ4" - ], - "藍": [ - "ㄌㄢ2", - "ㄌㄚ5" - ], - "藎": [ - "ㄐㄧㄣ4" - ], - "藏": [ - "ㄘㄤ2", - "ㄗㄤ4", - "ㄗㄤ1" - ], - "藐": [ - "ㄇㄧㄠ3", - "ㄇㄛ4" - ], - "藑": [ - "ㄑㄩㄥ2" - ], - "藒": [ - "ㄑㄧㄝ4" - ], - "藓": [ - "ㄒㄧㄢ3" - ], - "藔": [ - "ㄌㄧㄠ2" - ], - "藕": [ - "ㄡ3" - ], - "藖": [ - "ㄒㄧㄢ2", - "ㄑㄧㄢ1" - ], - "藗": [ - "ㄙㄨ4" - ], - "藘": [ - "ㄌㄩ2" - ], - "藙": [ - "ㄧ4" - ], - "藚": [ - "ㄒㄩ4" - ], - "藛": [ - "ㄒㄧㄝ3" - ], - "藜": [ - "ㄌㄧ2" - ], - "藝": [ - "ㄧ4" - ], - "藞": [ - "ㄌㄚ3" - ], - "藟": [ - "ㄌㄟ3" - ], - "藠": [ - "ㄐㄧㄠ4" - ], - "藡": [ - "ㄉㄧ2" - ], - "藢": [ - "ㄓ3" - ], - "藣": [ - "ㄅㄟ1" - ], - "藤": [ - "ㄊㄥ2" - ], - "藥": [ - "ㄧㄠ4", - "ㄕㄨㄛ4", - "ㄌㄩㄝ4" - ], - "藦": [ - "ㄇㄛ4", - "ㄇㄛ2" - ], - "藧": [ - "ㄏㄨㄢ4" - ], - "藨": [ - "ㄅㄧㄠ1", - "ㄆㄠ1" - ], - "藩": [ - "ㄈㄢ1", - "ㄈㄢ2" - ], - "藪": [ - "ㄙㄡ3", - "ㄕㄨ3", - "ㄘㄡ4" - ], - "藫": [ - "ㄊㄢ2" - ], - "藬": [ - "ㄊㄨㄟ1" - ], - "藭": [ - "ㄑㄩㄥ2" - ], - "藮": [ - "ㄑㄧㄠ2" - ], - "藯": [ - "ㄨㄟ4" - ], - "藰": [ - "ㄌㄧㄡ2", - "ㄌㄧㄡ3" - ], - "藱": [ - "ㄏㄨㄟ4", - "ㄏㄨㄟ2" - ], - "藲": [ - "ㄡ1" - ], - "藳": [ - "ㄍㄠ3" - ], - "藴": [ - "ㄩㄣ4", - "ㄨㄣ1" - ], - "藵": [ - "ㄅㄠ3" - ], - "藶": [ - "ㄌㄧ4" - ], - "藷": [ - "ㄕㄨ3", - "ㄓㄨ1" - ], - "藸": [ - "ㄔㄨ2", - "ㄓㄨ1", - "ㄓㄚ1" - ], - "藹": [ - "ㄞ3" - ], - "藺": [ - "ㄌㄧㄣ4" - ], - "藻": [ - "ㄗㄠ3" - ], - "藼": [ - "ㄒㄩㄢ1" - ], - "藽": [ - "ㄑㄧㄣ4" - ], - "藾": [ - "ㄌㄞ4" - ], - "藿": [ - "ㄏㄨㄛ4", - "ㄏㄜ2" - ], - "蘀": [ - "ㄊㄨㄛ4", - "ㄗㄜ2" - ], - "蘁": [ - "ㄨ4", - "ㄜ4" - ], - "蘂": [ - "ㄖㄨㄟ3" - ], - "蘃": [ - "ㄖㄨㄟ3" - ], - "蘄": [ - "ㄑㄧ2", - "ㄐㄧ1", - "ㄑㄧㄣ2" - ], - "蘅": [ - "ㄏㄥ2" - ], - "蘆": [ - "ㄌㄨ2", - "ㄌㄨ3" - ], - "蘇": [ - "ㄙㄨ1" - ], - "蘈": [ - "ㄊㄨㄟ2" - ], - "蘉": [ - "ㄇㄥ2", - "ㄇㄤ2" - ], - "蘊": [ - "ㄩㄣ4" - ], - "蘋": [ - "ㄆㄧㄥ2", - "ㄆㄧㄣ2" - ], - "蘌": [ - "ㄩ3" - ], - "蘍": [ - "ㄒㄩㄣ1" - ], - "蘎": [ - "ㄐㄧ4" - ], - "蘏": [ - "ㄐㄩㄥ1" - ], - "蘐": [ - "ㄒㄩㄢ1" - ], - "蘑": [ - "ㄇㄛ2" - ], - "蘒": [ - "ㄑㄧㄡ1" - ], - "蘓": [ - "ㄙㄨ1" - ], - "蘔": [ - "ㄐㄩㄥ1" - ], - "蘕": [ - "ㄆㄥ2" - ], - "蘖": [ - "ㄋㄧㄝ4", - "ㄅㄛ4" - ], - "蘗": [ - "ㄅㄛ4", - "ㄅㄧ4" - ], - "蘘": [ - "ㄖㄤ2", - "ㄒㄧㄤ1", - "ㄋㄤ1" - ], - "蘙": [ - "ㄧ4" - ], - "蘚": [ - "ㄒㄧㄢ3" - ], - "蘛": [ - "ㄩ2" - ], - "蘜": [ - "ㄐㄩ2" - ], - "蘝": [ - "ㄌㄧㄢ3" - ], - "蘞": [ - "ㄌㄧㄢ3", - "ㄒㄧㄢ1" - ], - "蘟": [ - "ㄧㄣ3" - ], - "蘠": [ - "ㄑㄧㄤ2" - ], - "蘡": [ - "ㄧㄥ1" - ], - "蘢": [ - "ㄌㄨㄥ2", - "ㄌㄨㄥ3", - "ㄌㄨㄥ4" - ], - "蘣": [ - "ㄊㄡ3" - ], - "蘤": [ - "ㄏㄨㄚ1" - ], - "蘥": [ - "ㄩㄝ4" - ], - "蘦": [ - "ㄌㄧㄥ2" - ], - "蘧": [ - "ㄑㄩ2", - "ㄐㄩ4" - ], - "蘨": [ - "ㄧㄠ2" - ], - "蘩": [ - "ㄈㄢ2" - ], - "蘪": [ - "ㄇㄟ2" - ], - "蘫": [ - "ㄏㄢ4", - "ㄌㄢ4" - ], - "蘬": [ - "ㄎㄨㄟ1", - "ㄏㄨㄟ3", - "ㄍㄨㄟ1" - ], - "蘭": [ - "ㄌㄢ2" - ], - "蘮": [ - "ㄐㄧ4" - ], - "蘯": [ - "ㄉㄤ4" - ], - "蘰": [ - "ㄇㄢ4" - ], - "蘱": [ - "ㄌㄟ4" - ], - "蘲": [ - "ㄌㄟ2" - ], - "蘳": [ - "ㄏㄨㄟ1" - ], - "蘴": [ - "ㄈㄥ1", - "ㄙㄨㄥ1" - ], - "蘵": [ - "ㄓ1" - ], - "蘶": [ - "ㄨㄟ4" - ], - "蘷": [ - "ㄎㄨㄟ2" - ], - "蘸": [ - "ㄓㄢ4" - ], - "蘹": [ - "ㄏㄨㄞ2" - ], - "蘺": [ - "ㄌㄧ2" - ], - "蘻": [ - "ㄐㄧ4" - ], - "蘼": [ - "ㄇㄧ2" - ], - "蘽": [ - "ㄌㄟ3" - ], - "蘾": [ - "ㄏㄨㄞ4" - ], - "蘿": [ - "ㄌㄨㄛ2" - ], - "虀": [ - "ㄐㄧ1" - ], - "虁": [ - "ㄎㄨㄟ2" - ], - "虂": [ - "ㄌㄨ4" - ], - "虃": [ - "ㄐㄧㄢ1" - ], - "虄": [ - "ㄙㄚ4" - ], - "虅": [ - "ㄊㄥ2" - ], - "虆": [ - "ㄌㄟ2" - ], - "虇": [ - "ㄑㄩㄢ3" - ], - "虈": [ - "ㄒㄧㄠ1" - ], - "虉": [ - "ㄧ4" - ], - "虊": [ - "ㄌㄨㄢ2" - ], - "虋": [ - "ㄇㄣ2" - ], - "虌": [ - "ㄅㄧㄝ1" - ], - "虍": [ - "ㄏㄨ1" - ], - "虎": [ - "ㄏㄨ3", - "ㄏㄨ4" - ], - "虏": [ - "ㄌㄨ3" - ], - "虐": [ - "ㄋㄩㄝ4" - ], - "虑": [ - "ㄌㄩ4", - "ㄅㄧ4" - ], - "虒": [ - "ㄙ1", - "ㄒㄧ1", - "ㄊㄧ2", - "ㄓ4" - ], - "虓": [ - "ㄒㄧㄠ1" - ], - "虔": [ - "ㄑㄧㄢ2" - ], - "處": [ - "ㄔㄨ4", - "ㄔㄨ3", - "ㄐㄩ4" - ], - "虖": [ - "ㄏㄨ1", - "ㄏㄨ2", - "ㄏㄨ4" - ], - "虗": [ - "ㄒㄩ1" - ], - "虘": [ - "ㄘㄨㄛ2" - ], - "虙": [ - "ㄈㄨ2" - ], - "虚": [ - "ㄒㄩ1" - ], - "虛": [ - "ㄒㄩ1" - ], - "虜": [ - "ㄌㄨ3" - ], - "虝": [ - "ㄏㄨ3" - ], - "虞": [ - "ㄩ2" - ], - "號": [ - "ㄏㄠ4", - "ㄏㄠ2" - ], - "虠": [ - "ㄐㄧㄠ1", - "ㄏㄠ2" - ], - "虡": [ - "ㄐㄩ4" - ], - "虢": [ - "ㄍㄨㄛ2" - ], - "虣": [ - "ㄅㄠ4" - ], - "虤": [ - "ㄧㄢ2" - ], - "虥": [ - "ㄓㄢ4" - ], - "虦": [ - "ㄓㄢ4" - ], - "虧": [ - "ㄎㄨㄟ1" - ], - "虨": [ - "ㄅㄧㄣ1" - ], - "虩": [ - "ㄒㄧ4", - "ㄙㄜ4" - ], - "虪": [ - "ㄕㄨ4" - ], - "虫": [ - "ㄔㄨㄥ2", - "ㄏㄨㄟ3" - ], - "虬": [ - "ㄑㄧㄡ2" - ], - "虭": [ - "ㄉㄧㄠ1", - "ㄉㄠ1" - ], - "虮": [ - "ㄐㄧ3", - "ㄐㄧ1" - ], - "虯": [ - "ㄑㄧㄡ2" - ], - "虰": [ - "ㄉㄧㄥ1", - "ㄔㄥ1" - ], - "虱": [ - "ㄕ1" - ], - "虲": [ - "ㄒㄧㄚ1" - ], - "虳": [ - "ㄐㄩㄝ2" - ], - "虴": [ - "ㄓㄜ2" - ], - "虵": [ - "ㄕㄜ2", - "ㄧㄝ3" - ], - "虶": [ - "ㄩ1" - ], - "虷": [ - "ㄏㄢ2", - "ㄍㄢ1" - ], - "虸": [ - "ㄗ3" - ], - "虹": [ - "ㄏㄨㄥ2", - "ㄐㄧㄤ4", - "ㄏㄨㄥ4", - "ㄍㄨㄥ4" - ], - "虺": [ - "ㄏㄨㄟ1", - "ㄏㄨㄟ3" - ], - "虻": [ - "ㄇㄥ2" - ], - "虼": [ - "ㄍㄜ4" - ], - "虽": [ - "ㄙㄨㄟ1" - ], - "虾": [ - "ㄒㄧㄚ1", - "ㄏㄚ2" - ], - "虿": [ - "ㄔㄞ4" - ], - "蚀": [ - "ㄕ2" - ], - "蚁": [ - "ㄧ3" - ], - "蚂": [ - "ㄇㄚ3", - "ㄇㄚ4", - "ㄇㄚ1" - ], - "蚃": [ - "ㄒㄧㄤ3" - ], - "蚄": [ - "ㄈㄤ1", - "ㄅㄤ4" - ], - "蚅": [ - "ㄜ4" - ], - "蚆": [ - "ㄅㄚ1" - ], - "蚇": [ - "ㄔ3" - ], - "蚈": [ - "ㄑㄧㄢ1" - ], - "蚉": [ - "ㄨㄣ2" - ], - "蚊": [ - "ㄨㄣ2" - ], - "蚋": [ - "ㄖㄨㄟ4" - ], - "蚌": [ - "ㄅㄤ4", - "ㄅㄥ4", - "ㄆㄧ2", - "ㄈㄥ1" - ], - "蚍": [ - "ㄆㄧ2" - ], - "蚎": [ - "ㄩㄝ4" - ], - "蚏": [ - "ㄩㄝ4" - ], - "蚐": [ - "ㄐㄩㄣ1" - ], - "蚑": [ - "ㄑㄧ2" - ], - "蚒": [ - "ㄊㄨㄥ2" - ], - "蚓": [ - "ㄧㄣ3" - ], - "蚔": [ - "ㄑㄧ2", - "ㄓ3" - ], - "蚕": [ - "ㄘㄢ2", - "ㄊㄧㄢ3" - ], - "蚖": [ - "ㄩㄢ2", - "ㄨㄢ2" - ], - "蚗": [ - "ㄐㄩㄝ2", - "ㄑㄩㄝ1" - ], - "蚘": [ - "ㄏㄨㄟ2", - "ㄏㄨㄟ4", - "ㄧㄡ2" - ], - "蚙": [ - "ㄑㄧㄣ2", - "ㄑㄧㄢ2" - ], - "蚚": [ - "ㄑㄧ2" - ], - "蚛": [ - "ㄓㄨㄥ4" - ], - "蚜": [ - "ㄧㄚ2" - ], - "蚝": [ - "ㄏㄠ2", - "ㄘ4" - ], - "蚞": [ - "ㄇㄨ4" - ], - "蚟": [ - "ㄨㄤ2" - ], - "蚠": [ - "ㄈㄣ2" - ], - "蚡": [ - "ㄈㄣ2" - ], - "蚢": [ - "ㄏㄤ2" - ], - "蚣": [ - "ㄍㄨㄥ1", - "ㄓㄨㄥ1" - ], - "蚤": [ - "ㄗㄠ3", - "ㄓㄠ3" - ], - "蚥": [ - "ㄈㄨ4", - "ㄈㄨ3" - ], - "蚦": [ - "ㄖㄢ2" - ], - "蚧": [ - "ㄐㄧㄝ4" - ], - "蚨": [ - "ㄈㄨ2" - ], - "蚩": [ - "ㄔ1" - ], - "蚪": [ - "ㄉㄡ3" - ], - "蚫": [ - "ㄅㄠ4", - "ㄆㄠ2" - ], - "蚬": [ - "ㄒㄧㄢ3" - ], - "蚭": [ - "ㄋㄧ2" - ], - "蚮": [ - "ㄉㄞ4" - ], - "蚯": [ - "ㄑㄧㄡ1" - ], - "蚰": [ - "ㄧㄡ2", - "ㄓㄨ2" - ], - "蚱": [ - "ㄓㄚ4" - ], - "蚲": [ - "ㄆㄧㄥ2" - ], - "蚳": [ - "ㄔ2", - "ㄔ1", - "ㄉㄧ4" - ], - "蚴": [ - "ㄧㄡ4", - "ㄧㄡ3", - "ㄋㄧㄡ4" - ], - "蚵": [ - "ㄏㄜ2", - "ㄎㄜ4" - ], - "蚶": [ - "ㄏㄢ1", - "ㄏㄢ2" - ], - "蚷": [ - "ㄐㄩ4" - ], - "蚸": [ - "ㄌㄧ4" - ], - "蚹": [ - "ㄈㄨ4" - ], - "蚺": [ - "ㄖㄢ2", - "ㄊㄧㄢ4" - ], - "蚻": [ - "ㄓㄚ2" - ], - "蚼": [ - "ㄍㄡ3", - "ㄑㄩ2", - "ㄒㄩ4" - ], - "蚽": [ - "ㄆㄧ2" - ], - "蚾": [ - "ㄆㄧ2", - "ㄅㄛ3" - ], - "蚿": [ - "ㄒㄧㄢ2" - ], - "蛀": [ - "ㄓㄨ4" - ], - "蛁": [ - "ㄉㄧㄠ1" - ], - "蛂": [ - "ㄅㄧㄝ2" - ], - "蛃": [ - "ㄅㄧㄥ3" - ], - "蛄": [ - "ㄍㄨ1", - "ㄍㄨ3" - ], - "蛅": [ - "ㄓㄢ1" - ], - "蛆": [ - "ㄑㄩ1", - "ㄐㄩ1" - ], - "蛇": [ - "ㄕㄜ2", - "ㄧ2", - "ㄊㄨㄛ2", - "ㄔ2" - ], - "蛈": [ - "ㄊㄧㄝ3" - ], - "蛉": [ - "ㄌㄧㄥ2" - ], - "蛊": [ - "ㄍㄨ3" - ], - "蛋": [ - "ㄉㄢ4" - ], - "蛌": [ - "ㄍㄨ3" - ], - "蛍": [ - "ㄧㄥ2" - ], - "蛎": [ - "ㄌㄧ4" - ], - "蛏": [ - "ㄔㄥ1" - ], - "蛐": [ - "ㄑㄩ1" - ], - "蛑": [ - "ㄇㄡ2", - "ㄇㄠ2" - ], - "蛒": [ - "ㄍㄜ2", - "ㄌㄨㄛ4" - ], - "蛓": [ - "ㄘ4" - ], - "蛔": [ - "ㄏㄨㄟ2" - ], - "蛕": [ - "ㄏㄨㄟ2", - "ㄏㄨㄟ3" - ], - "蛖": [ - "ㄇㄤ2", - "ㄅㄤ4" - ], - "蛗": [ - "ㄈㄨ4" - ], - "蛘": [ - "ㄧㄤ2", - "ㄧㄤ3" - ], - "蛙": [ - "ㄨㄚ1", - "ㄐㄩㄝ2" - ], - "蛚": [ - "ㄌㄧㄝ4" - ], - "蛛": [ - "ㄓㄨ1" - ], - "蛜": [ - "ㄧ1" - ], - "蛝": [ - "ㄒㄧㄢ2" - ], - "蛞": [ - "ㄎㄨㄛ4", - "ㄕㄜ2" - ], - "蛟": [ - "ㄐㄧㄠ1" - ], - "蛠": [ - "ㄌㄧ4" - ], - "蛡": [ - "ㄧ4", - "ㄒㄩ3" - ], - "蛢": [ - "ㄆㄧㄥ2" - ], - "蛣": [ - "ㄑㄧ1", - "ㄐㄧㄝ2", - "ㄑㄧㄝ4" - ], - "蛤": [ - "ㄏㄚ2", - "ㄍㄜ2", - "ㄏㄚ1", - "ㄜ2" - ], - "蛥": [ - "ㄕㄜ2" - ], - "蛦": [ - "ㄧ2" - ], - "蛧": [ - "ㄨㄤ3" - ], - "蛨": [ - "ㄇㄛ4" - ], - "蛩": [ - "ㄑㄩㄥ2", - "ㄍㄨㄥ3" - ], - "蛪": [ - "ㄑㄧㄝ4", - "ㄋㄧ2" - ], - "蛫": [ - "ㄍㄨㄟ3" - ], - "蛬": [ - "ㄑㄩㄥ2" - ], - "蛭": [ - "ㄓ4" - ], - "蛮": [ - "ㄇㄢ2" - ], - "蛯": [ - "ㄌㄠ3" - ], - "蛰": [ - "ㄓㄜ2" - ], - "蛱": [ - "ㄐㄧㄚ2" - ], - "蛲": [ - "ㄋㄠ2" - ], - "蛳": [ - "ㄙ1" - ], - "蛴": [ - "ㄑㄧ2" - ], - "蛵": [ - "ㄒㄧㄥ1" - ], - "蛶": [ - "ㄐㄧㄝ4" - ], - "蛷": [ - "ㄑㄧㄡ2" - ], - "蛸": [ - "ㄕㄠ1", - "ㄒㄧㄠ1" - ], - "蛹": [ - "ㄩㄥ3" - ], - "蛺": [ - "ㄐㄧㄚ2" - ], - "蛻": [ - "ㄊㄨㄟ4" - ], - "蛼": [ - "ㄔㄜ1" - ], - "蛽": [ - "ㄅㄟ4" - ], - "蛾": [ - "ㄜ2", - "ㄧ3" - ], - "蛿": [ - "ㄏㄢ4" - ], - "蜀": [ - "ㄕㄨ3" - ], - "蜁": [ - "ㄒㄩㄢ2" - ], - "蜂": [ - "ㄈㄥ1" - ], - "蜃": [ - "ㄕㄣ4" - ], - "蜄": [ - "ㄕㄣ4", - "ㄓㄣ4" - ], - "蜅": [ - "ㄈㄨ3", - "ㄆㄨ2" - ], - "蜆": [ - "ㄒㄧㄢ4", - "ㄒㄧㄢ3" - ], - "蜇": [ - "ㄓㄜ1", - "ㄓㄜ2" - ], - "蜈": [ - "ㄨ2" - ], - "蜉": [ - "ㄈㄨ2" - ], - "蜊": [ - "ㄌㄧ2" - ], - "蜋": [ - "ㄌㄤ2", - "ㄌㄧㄤ2" - ], - "蜌": [ - "ㄅㄧ4" - ], - "蜍": [ - "ㄔㄨ2", - "ㄩ2" - ], - "蜎": [ - "ㄩㄢ1", - "ㄒㄩㄢ1" - ], - "蜏": [ - "ㄧㄡ3" - ], - "蜐": [ - "ㄐㄧㄝ2" - ], - "蜑": [ - "ㄉㄢ4" - ], - "蜒": [ - "ㄧㄢ2", - "ㄧㄢ4", - "ㄉㄢ4" - ], - "蜓": [ - "ㄊㄧㄥ2", - "ㄉㄧㄢ4" - ], - "蜔": [ - "ㄉㄧㄢ4" - ], - "蜕": [ - "ㄊㄨㄟ4", - "ㄩㄝ4" - ], - "蜖": [ - "ㄏㄨㄟ2" - ], - "蜗": [ - "ㄨㄛ1" - ], - "蜘": [ - "ㄓ1" - ], - "蜙": [ - "ㄙㄨㄥ1" - ], - "蜚": [ - "ㄈㄟ1", - "ㄈㄟ3", - "ㄆㄟ4", - "ㄅㄟ4" - ], - "蜛": [ - "ㄐㄩ1" - ], - "蜜": [ - "ㄇㄧ4" - ], - "蜝": [ - "ㄑㄧ2" - ], - "蜞": [ - "ㄑㄧ2" - ], - "蜟": [ - "ㄩ4" - ], - "蜠": [ - "ㄐㄩㄣ4" - ], - "蜡": [ - "ㄌㄚ4", - "ㄑㄩ4", - "ㄓㄚ4", - "ㄐㄧ2" - ], - "蜢": [ - "ㄇㄥ3", - "ㄇㄥ4" - ], - "蜣": [ - "ㄑㄧㄤ1" - ], - "蜤": [ - "ㄙ1", - "ㄒㄧ1" - ], - "蜥": [ - "ㄒㄧ1" - ], - "蜦": [ - "ㄌㄨㄣ2", - "ㄌㄨㄣ3" - ], - "蜧": [ - "ㄌㄧ4" - ], - "蜨": [ - "ㄉㄧㄝ2" - ], - "蜩": [ - "ㄊㄧㄠ2", - "ㄉㄧㄠ4" - ], - "蜪": [ - "ㄊㄠ2" - ], - "蜫": [ - "ㄎㄨㄣ1" - ], - "蜬": [ - "ㄏㄢ2" - ], - "蜭": [ - "ㄏㄢ4" - ], - "蜮": [ - "ㄩ4", - "ㄍㄨㄛ1" - ], - "蜯": [ - "ㄅㄤ4" - ], - "蜰": [ - "ㄈㄟ2", - "ㄈㄟ4" - ], - "蜱": [ - "ㄆㄧ2", - "ㄇㄧㄠ2" - ], - "蜲": [ - "ㄨㄟ1", - "ㄨㄟ3" - ], - "蜳": [ - "ㄉㄨㄣ1", - "ㄊㄨㄣ1" - ], - "蜴": [ - "ㄧ4", - "ㄒㄧ2" - ], - "蜵": [ - "ㄩㄢ1", - "ㄩㄣ1" - ], - "蜶": [ - "ㄙㄨㄛ4" - ], - "蜷": [ - "ㄑㄩㄢ2", - "ㄐㄩㄢ3" - ], - "蜸": [ - "ㄑㄧㄢ3" - ], - "蜹": [ - "ㄖㄨㄟ4", - "ㄨㄟ4" - ], - "蜺": [ - "ㄋㄧ2" - ], - "蜻": [ - "ㄑㄧㄥ1", - "ㄐㄧㄥ1" - ], - "蜼": [ - "ㄨㄟ4", - "ㄨㄟ3", - "ㄊㄨㄥ2" - ], - "蜽": [ - "ㄌㄧㄤ3" - ], - "蜾": [ - "ㄍㄨㄛ3", - "ㄌㄨㄛ3" - ], - "蜿": [ - "ㄨㄢ1", - "ㄨㄢ3" - ], - "蝀": [ - "ㄉㄨㄥ1" - ], - "蝁": [ - "ㄜ4" - ], - "蝂": [ - "ㄅㄢ3" - ], - "蝃": [ - "ㄉㄧ4", - "ㄓㄨㄛ1" - ], - "蝄": [ - "ㄨㄤ3" - ], - "蝅": [ - "ㄘㄢ2" - ], - "蝆": [ - "ㄧㄤ3" - ], - "蝇": [ - "ㄧㄥ2" - ], - "蝈": [ - "ㄍㄨㄛ1" - ], - "蝉": [ - "ㄔㄢ2" - ], - "蝊": [ - "ㄉㄧㄥ4" - ], - "蝋": [ - "ㄌㄚ4" - ], - "蝌": [ - "ㄎㄜ1" - ], - "蝍": [ - "ㄐㄧㄝ2", - "ㄐㄧ2" - ], - "蝎": [ - "ㄒㄧㄝ1", - "ㄏㄜ2" - ], - "蝏": [ - "ㄊㄧㄥ2" - ], - "蝐": [ - "ㄇㄠ4" - ], - "蝑": [ - "ㄒㄩ1", - "ㄒㄧㄝ4" - ], - "蝒": [ - "ㄇㄧㄢ2" - ], - "蝓": [ - "ㄩ2" - ], - "蝔": [ - "ㄐㄧㄝ1" - ], - "蝕": [ - "ㄕ2", - "ㄌㄧ4", - "ㄌㄨㄥ2" - ], - "蝖": [ - "ㄒㄩㄢ1" - ], - "蝗": [ - "ㄏㄨㄤ2" - ], - "蝘": [ - "ㄧㄢ3" - ], - "蝙": [ - "ㄅㄧㄢ1", - "ㄆㄧㄢ2" - ], - "蝚": [ - "ㄖㄡ2", - "ㄋㄠ2" - ], - "蝛": [ - "ㄨㄟ1" - ], - "蝜": [ - "ㄈㄨ4" - ], - "蝝": [ - "ㄩㄢ2", - "ㄩㄢ1" - ], - "蝞": [ - "ㄇㄟ4" - ], - "蝟": [ - "ㄨㄟ4" - ], - "蝠": [ - "ㄈㄨ2" - ], - "蝡": [ - "ㄖㄨ2", - "ㄖㄨㄢ3" - ], - "蝢": [ - "ㄒㄧㄝ2" - ], - "蝣": [ - "ㄧㄡ2" - ], - "蝤": [ - "ㄑㄧㄡ2", - "ㄧㄡ2", - "ㄐㄧㄡ1" - ], - "蝥": [ - "ㄇㄠ2", - "ㄨ2", - "ㄨ4" - ], - "蝦": [ - "ㄒㄧㄚ1", - "ㄏㄚ2", - "ㄐㄧㄚ3" - ], - "蝧": [ - "ㄧㄥ1" - ], - "蝨": [ - "ㄕ1" - ], - "蝩": [ - "ㄔㄨㄥ2", - "ㄓㄨㄥ1" - ], - "蝪": [ - "ㄊㄤ1" - ], - "蝫": [ - "ㄓㄨ1" - ], - "蝬": [ - "ㄗㄨㄥ1" - ], - "蝭": [ - "ㄊㄧ2", - "ㄔ2" - ], - "蝮": [ - "ㄈㄨ4" - ], - "蝯": [ - "ㄩㄢ2" - ], - "蝰": [ - "ㄎㄨㄟ2" - ], - "蝱": [ - "ㄇㄥ2" - ], - "蝲": [ - "ㄌㄚ4" - ], - "蝳": [ - "ㄉㄨ2", - "ㄉㄞ4" - ], - "蝴": [ - "ㄏㄨ2" - ], - "蝵": [ - "ㄑㄧㄡ1" - ], - "蝶": [ - "ㄉㄧㄝ2", - "ㄊㄧㄝ1" - ], - "蝷": [ - "ㄌㄧ4", - "ㄒㄧ2" - ], - "蝸": [ - "ㄨㄛ1", - "ㄌㄨㄛ2", - "ㄍㄨㄛ3" - ], - "蝹": [ - "ㄩㄣ1", - "ㄠ3" - ], - "蝺": [ - "ㄑㄩ3", - "ㄩ3" - ], - "蝻": [ - "ㄋㄢ3" - ], - "蝼": [ - "ㄌㄡ2" - ], - "蝽": [ - "ㄔㄨㄣ1" - ], - "蝾": [ - "ㄖㄨㄥ2" - ], - "蝿": [ - "ㄧㄥ2" - ], - "螀": [ - "ㄐㄧㄤ1" - ], - "螁": [ - "ㄅㄢ5" - ], - "螂": [ - "ㄌㄤ2" - ], - "螃": [ - "ㄆㄤ2", - "ㄅㄤ3" - ], - "螄": [ - "ㄙ1" - ], - "螅": [ - "ㄒㄧ1", - "ㄘ4" - ], - "螆": [ - "ㄘ4" - ], - "螇": [ - "ㄒㄧ1", - "ㄑㄧ1" - ], - "螈": [ - "ㄩㄢ2" - ], - "螉": [ - "ㄨㄥ1" - ], - "螊": [ - "ㄌㄧㄢ2" - ], - "螋": [ - "ㄙㄡ1" - ], - "螌": [ - "ㄅㄢ1", - "ㄆㄢ2", - "ㄏㄨㄢ4" - ], - "融": [ - "ㄖㄨㄥ2" - ], - "螎": [ - "ㄖㄨㄥ2" - ], - "螏": [ - "ㄐㄧ2" - ], - "螐": [ - "ㄨ1" - ], - "螑": [ - "ㄒㄧㄡ4" - ], - "螒": [ - "ㄏㄢ4" - ], - "螓": [ - "ㄑㄧㄣ2" - ], - "螔": [ - "ㄧ2", - "ㄙ1" - ], - "螕": [ - "ㄅㄧ1", - "ㄆㄧ1" - ], - "螖": [ - "ㄏㄨㄚ2" - ], - "螗": [ - "ㄊㄤ2" - ], - "螘": [ - "ㄧ3" - ], - "螙": [ - "ㄉㄨ4" - ], - "螚": [ - "ㄋㄞ4", - "ㄋㄞ2", - "ㄋㄥ3" - ], - "螛": [ - "ㄏㄜ2", - "ㄒㄧㄚ2" - ], - "螜": [ - "ㄏㄨ2" - ], - "螝": [ - "ㄍㄨㄟ1", - "ㄏㄨㄟ3" - ], - "螞": [ - "ㄇㄚ3", - "ㄇㄚ1", - "ㄇㄚ4" - ], - "螟": [ - "ㄇㄧㄥ2" - ], - "螠": [ - "ㄧ4" - ], - "螡": [ - "ㄨㄣ2" - ], - "螢": [ - "ㄧㄥ2" - ], - "螣": [ - "ㄊㄜ4", - "ㄊㄥ2" - ], - "螤": [ - "ㄓㄨㄥ1" - ], - "螥": [ - "ㄘㄤ1" - ], - "螦": [ - "ㄙㄠ1" - ], - "螧": [ - "ㄑㄧ2" - ], - "螨": [ - "ㄇㄢ3" - ], - "螩": [ - "ㄊㄧㄠ5" - ], - "螪": [ - "ㄕㄤ1" - ], - "螫": [ - "ㄕ4", - "ㄓㄜ1" - ], - "螬": [ - "ㄘㄠ2" - ], - "螭": [ - "ㄔ1" - ], - "螮": [ - "ㄉㄧ4", - "ㄉㄞ4" - ], - "螯": [ - "ㄠ2" - ], - "螰": [ - "ㄌㄨ4" - ], - "螱": [ - "ㄨㄟ4" - ], - "螲": [ - "ㄓ4", - "ㄉㄧㄝ2" - ], - "螳": [ - "ㄊㄤ2" - ], - "螴": [ - "ㄔㄣ2" - ], - "螵": [ - "ㄆㄧㄠ1" - ], - "螶": [ - "ㄑㄩ2", - "ㄐㄩ4" - ], - "螷": [ - "ㄆㄧ2" - ], - "螸": [ - "ㄩ2" - ], - "螹": [ - "ㄐㄧㄢ4", - "ㄔㄢ2" - ], - "螺": [ - "ㄌㄨㄛ2" - ], - "螻": [ - "ㄌㄡ2" - ], - "螼": [ - "ㄑㄧㄣ3" - ], - "螽": [ - "ㄓㄨㄥ1" - ], - "螾": [ - "ㄧㄣ3", - "ㄧㄣ2" - ], - "螿": [ - "ㄐㄧㄤ1" - ], - "蟀": [ - "ㄕㄨㄞ4" - ], - "蟁": [ - "ㄨㄣ2" - ], - "蟂": [ - "ㄒㄧㄠ1" - ], - "蟃": [ - "ㄨㄢ4" - ], - "蟄": [ - "ㄓㄜ2" - ], - "蟅": [ - "ㄓㄜ4" - ], - "蟆": [ - "ㄇㄚ2", - "ㄇㄛ4" - ], - "蟇": [ - "ㄇㄚ2" - ], - "蟈": [ - "ㄍㄨㄛ1", - "ㄩ4" - ], - "蟉": [ - "ㄌㄧㄡ2", - "ㄌㄧㄠ4" - ], - "蟊": [ - "ㄇㄠ2", - "ㄇㄥ2" - ], - "蟋": [ - "ㄒㄧ1" - ], - "蟌": [ - "ㄘㄨㄥ1" - ], - "蟍": [ - "ㄌㄧ2" - ], - "蟎": [ - "ㄇㄢ3" - ], - "蟏": [ - "ㄒㄧㄠ1" - ], - "蟐": [ - "ㄔㄤ5" - ], - "蟑": [ - "ㄓㄤ1" - ], - "蟒": [ - "ㄇㄤ3", - "ㄇㄥ3" - ], - "蟓": [ - "ㄒㄧㄤ4" - ], - "蟔": [ - "ㄇㄛ4" - ], - "蟕": [ - "ㄗㄨㄟ1" - ], - "蟖": [ - "ㄙ1" - ], - "蟗": [ - "ㄑㄧㄡ1" - ], - "蟘": [ - "ㄊㄜ4" - ], - "蟙": [ - "ㄓ2" - ], - "蟚": [ - "ㄆㄥ2" - ], - "蟛": [ - "ㄆㄥ2" - ], - "蟜": [ - "ㄐㄧㄠ3", - "ㄑㄧㄠ2" - ], - "蟝": [ - "ㄑㄩ2" - ], - "蟞": [ - "ㄅㄧㄝ1", - "ㄅㄧㄝ2" - ], - "蟟": [ - "ㄌㄧㄠ2" - ], - "蟠": [ - "ㄆㄢ2", - "ㄈㄢ2" - ], - "蟡": [ - "ㄍㄨㄟ3" - ], - "蟢": [ - "ㄒㄧ3" - ], - "蟣": [ - "ㄐㄧ3", - "ㄑㄧ2" - ], - "蟤": [ - "ㄓㄨㄢ1" - ], - "蟥": [ - "ㄏㄨㄤ2" - ], - "蟦": [ - "ㄈㄟ2", - "ㄅㄣ1" - ], - "蟧": [ - "ㄌㄠ2", - "ㄌㄧㄠ2" - ], - "蟨": [ - "ㄐㄩㄝ2" - ], - "蟩": [ - "ㄐㄩㄝ2" - ], - "蟪": [ - "ㄏㄨㄟ4" - ], - "蟫": [ - "ㄧㄣ2", - "ㄒㄩㄣ2" - ], - "蟬": [ - "ㄔㄢ2", - "ㄊㄧ2", - "ㄕㄢ4" - ], - "蟭": [ - "ㄐㄧㄠ1" - ], - "蟮": [ - "ㄕㄢ4" - ], - "蟯": [ - "ㄋㄠ2", - "ㄖㄠ4" - ], - "蟰": [ - "ㄒㄧㄠ1" - ], - "蟱": [ - "ㄨ2", - "ㄇㄡ2" - ], - "蟲": [ - "ㄔㄨㄥ2", - "ㄓㄨㄥ4", - "ㄊㄨㄥ2" - ], - "蟳": [ - "ㄒㄩㄣ2" - ], - "蟴": [ - "ㄙ1" - ], - "蟵": [ - "ㄔㄨ2" - ], - "蟶": [ - "ㄔㄥ1" - ], - "蟷": [ - "ㄉㄤ1" - ], - "蟸": [ - "ㄌㄧ3" - ], - "蟹": [ - "ㄒㄧㄝ4" - ], - "蟺": [ - "ㄕㄢ4", - "ㄉㄢ4", - "ㄔㄢ2", - "ㄊㄨㄛ2" - ], - "蟻": [ - "ㄧ3", - "ㄐㄧ3" - ], - "蟼": [ - "ㄐㄧㄥ3" - ], - "蟽": [ - "ㄉㄚ2" - ], - "蟾": [ - "ㄔㄢ2" - ], - "蟿": [ - "ㄑㄧ4", - "ㄐㄧ4" - ], - "蠀": [ - "ㄘ1", - "ㄐㄧ2" - ], - "蠁": [ - "ㄒㄧㄤ3" - ], - "蠂": [ - "ㄕㄜ4" - ], - "蠃": [ - "ㄌㄨㄛ3", - "ㄌㄨㄛ2", - "ㄍㄨㄛ3" - ], - "蠄": [ - "ㄑㄧㄣ2" - ], - "蠅": [ - "ㄧㄥ2" - ], - "蠆": [ - "ㄔㄞ4" - ], - "蠇": [ - "ㄌㄧ4" - ], - "蠈": [ - "ㄗㄟ2" - ], - "蠉": [ - "ㄒㄩㄢ1" - ], - "蠊": [ - "ㄌㄧㄢ2" - ], - "蠋": [ - "ㄓㄨ2" - ], - "蠌": [ - "ㄗㄜ2" - ], - "蠍": [ - "ㄒㄧㄝ1" - ], - "蠎": [ - "ㄇㄤ3" - ], - "蠏": [ - "ㄒㄧㄝ4" - ], - "蠐": [ - "ㄑㄧ2" - ], - "蠑": [ - "ㄖㄨㄥ2" - ], - "蠒": [ - "ㄐㄧㄢ3" - ], - "蠓": [ - "ㄇㄥ3" - ], - "蠔": [ - "ㄏㄠ2" - ], - "蠕": [ - "ㄖㄨ2" - ], - "蠖": [ - "ㄏㄨㄛ4", - "ㄩㄝ4" - ], - "蠗": [ - "ㄓㄨㄛ2" - ], - "蠘": [ - "ㄐㄧㄝ2" - ], - "蠙": [ - "ㄆㄧㄣ2" - ], - "蠚": [ - "ㄏㄜ1" - ], - "蠛": [ - "ㄇㄧㄝ4" - ], - "蠜": [ - "ㄈㄢ2" - ], - "蠝": [ - "ㄌㄟ3" - ], - "蠞": [ - "ㄐㄧㄝ2" - ], - "蠟": [ - "ㄌㄚ4" - ], - "蠠": [ - "ㄇㄧㄣ3", - "ㄇㄧㄢ2" - ], - "蠡": [ - "ㄌㄧ2", - "ㄌㄧ3", - "ㄌㄨㄛ3", - "ㄌㄨㄛ2", - "ㄌㄧ4" - ], - "蠢": [ - "ㄔㄨㄣ3" - ], - "蠣": [ - "ㄌㄧ4" - ], - "蠤": [ - "ㄑㄧㄡ1" - ], - "蠥": [ - "ㄋㄧㄝ4" - ], - "蠦": [ - "ㄌㄨ2" - ], - "蠧": [ - "ㄉㄨ4" - ], - "蠨": [ - "ㄒㄧㄠ1" - ], - "蠩": [ - "ㄓㄨ1", - "ㄔㄨ2" - ], - "蠪": [ - "ㄌㄨㄥ2" - ], - "蠫": [ - "ㄌㄧ2" - ], - "蠬": [ - "ㄌㄨㄥ2" - ], - "蠭": [ - "ㄈㄥ1", - "ㄆㄤ2" - ], - "蠮": [ - "ㄧㄝ1" - ], - "蠯": [ - "ㄆㄧ2" - ], - "蠰": [ - "ㄋㄤ2", - "ㄕㄤ4", - "ㄖㄤ3" - ], - "蠱": [ - "ㄍㄨ3", - "ㄧㄝ3" - ], - "蠲": [ - "ㄐㄩㄢ1" - ], - "蠳": [ - "ㄧㄥ1" - ], - "蠴": [ - "ㄕㄨ3" - ], - "蠵": [ - "ㄒㄧ1" - ], - "蠶": [ - "ㄘㄢ2" - ], - "蠷": [ - "ㄑㄩ2" - ], - "蠸": [ - "ㄑㄩㄢ2", - "ㄏㄨㄢ4" - ], - "蠹": [ - "ㄉㄨ4" - ], - "蠺": [ - "ㄘㄢ2" - ], - "蠻": [ - "ㄇㄢ2" - ], - "蠼": [ - "ㄑㄩ2", - "ㄐㄩㄝ2" - ], - "蠽": [ - "ㄐㄧㄝ2" - ], - "蠾": [ - "ㄓㄨ2", - "ㄕㄨ2" - ], - "蠿": [ - "ㄓㄨㄛ1" - ], - "血": [ - "ㄒㄩㄝ4", - "ㄒㄧㄝ3" - ], - "衁": [ - "ㄏㄨㄤ1" - ], - "衂": [ - "ㄋㄩ4" - ], - "衃": [ - "ㄆㄟ1", - "ㄈㄡ3" - ], - "衄": [ - "ㄋㄩ4" - ], - "衅": [ - "ㄒㄧㄣ4" - ], - "衆": [ - "ㄓㄨㄥ4", - "ㄓㄨㄥ1" - ], - "衇": [ - "ㄇㄞ4" - ], - "衈": [ - "ㄦ4" - ], - "衉": [ - "ㄎㄚ1" - ], - "衊": [ - "ㄇㄧㄝ4" - ], - "衋": [ - "ㄒㄧ4" - ], - "行": [ - "ㄒㄧㄥ2", - "ㄏㄤ2", - "ㄏㄥ2", - "ㄒㄧㄥ4", - "ㄏㄤ4" - ], - "衍": [ - "ㄧㄢ3", - "ㄧㄢ2" - ], - "衎": [ - "ㄎㄢ4", - "ㄎㄢ3" - ], - "衏": [ - "ㄩㄢ4" - ], - "衐": [ - "ㄑㄩ2" - ], - "衑": [ - "ㄌㄧㄥ2" - ], - "衒": [ - "ㄒㄩㄢ4" - ], - "術": [ - "ㄕㄨ4" - ], - "衔": [ - "ㄒㄧㄢ2" - ], - "衕": [ - "ㄊㄨㄥ4", - "ㄊㄨㄥ2", - "ㄉㄨㄥ4" - ], - "衖": [ - "ㄒㄧㄤ4", - "ㄌㄨㄥ4" - ], - "街": [ - "ㄐㄧㄝ1" - ], - "衘": [ - "ㄒㄧㄢ2", - "ㄩ4" - ], - "衙": [ - "ㄧㄚ2", - "ㄩ2", - "ㄩ4" - ], - "衚": [ - "ㄏㄨ2" - ], - "衛": [ - "ㄨㄟ4" - ], - "衜": [ - "ㄉㄠ4" - ], - "衝": [ - "ㄔㄨㄥ1", - "ㄔㄨㄥ3", - "ㄔㄨㄥ4" - ], - "衞": [ - "ㄨㄟ4" - ], - "衟": [ - "ㄉㄠ4" - ], - "衠": [ - "ㄓㄨㄣ1" - ], - "衡": [ - "ㄏㄥ2" - ], - "衢": [ - "ㄑㄩ2" - ], - "衣": [ - "ㄧ1", - "ㄧ4" - ], - "衤": [ - "ㄧ1" - ], - "补": [ - "ㄅㄨ3" - ], - "衦": [ - "ㄍㄢ3" - ], - "衧": [ - "ㄩ2" - ], - "表": [ - "ㄅㄧㄠ3" - ], - "衩": [ - "ㄔㄚ3", - "ㄔㄚ4" - ], - "衪": [ - "ㄧ2" - ], - "衫": [ - "ㄕㄢ1" - ], - "衬": [ - "ㄔㄣ4" - ], - "衭": [ - "ㄈㄨ1" - ], - "衮": [ - "ㄍㄨㄣ3" - ], - "衯": [ - "ㄈㄣ1", - "ㄆㄣ2" - ], - "衰": [ - "ㄕㄨㄞ1", - "ㄙㄨㄛ1", - "ㄘㄨㄟ1" - ], - "衱": [ - "ㄐㄧㄝ2" - ], - "衲": [ - "ㄋㄚ4" - ], - "衳": [ - "ㄓㄨㄥ1" - ], - "衴": [ - "ㄉㄢ3" - ], - "衵": [ - "ㄧ4" - ], - "衶": [ - "ㄓㄨㄥ4" - ], - "衷": [ - "ㄓㄨㄥ1", - "ㄓㄨㄥ4" - ], - "衸": [ - "ㄐㄧㄝ4" - ], - "衹": [ - "ㄓ3", - "ㄊㄧ3", - "ㄓ1", - "ㄑㄧ2" - ], - "衺": [ - "ㄒㄧㄝ2" - ], - "衻": [ - "ㄖㄢ2" - ], - "衼": [ - "ㄓ1" - ], - "衽": [ - "ㄖㄣ4" - ], - "衾": [ - "ㄑㄧㄣ1" - ], - "衿": [ - "ㄐㄧㄣ1", - "ㄑㄧㄣ4" - ], - "袀": [ - "ㄐㄩㄣ1" - ], - "袁": [ - "ㄩㄢ2" - ], - "袂": [ - "ㄇㄟ4", - "ㄧ4" - ], - "袃": [ - "ㄔㄞ4" - ], - "袄": [ - "ㄠ3" - ], - "袅": [ - "ㄋㄧㄠ3" - ], - "袆": [ - "ㄏㄨㄟ1" - ], - "袇": [ - "ㄖㄢ2" - ], - "袈": [ - "ㄐㄧㄚ1" - ], - "袉": [ - "ㄊㄨㄛ2", - "ㄊㄨㄛ3" - ], - "袊": [ - "ㄌㄧㄥ3", - "ㄌㄧㄥ2" - ], - "袋": [ - "ㄉㄞ4" - ], - "袌": [ - "ㄅㄠ4", - "ㄆㄠ2", - "ㄆㄠ4" - ], - "袍": [ - "ㄆㄠ2", - "ㄅㄠ4" - ], - "袎": [ - "ㄧㄠ4" - ], - "袏": [ - "ㄗㄨㄛ4" - ], - "袐": [ - "ㄅㄧ4" - ], - "袑": [ - "ㄕㄠ4" - ], - "袒": [ - "ㄊㄢ3", - "ㄓㄢ4" - ], - "袓": [ - "ㄐㄩ4", - "ㄐㄧㄝ3" - ], - "袔": [ - "ㄏㄜ4", - "ㄎㄜ4", - "ㄎㄨㄚ3" - ], - "袕": [ - "ㄒㄩㄝ2" - ], - "袖": [ - "ㄒㄧㄡ4" - ], - "袗": [ - "ㄓㄣ3" - ], - "袘": [ - "ㄧ2", - "ㄧ4", - "ㄊㄨㄛ2" - ], - "袙": [ - "ㄆㄚ4" - ], - "袚": [ - "ㄅㄛ1", - "ㄈㄨ2" - ], - "袛": [ - "ㄉㄧ1" - ], - "袜": [ - "ㄨㄚ4", - "ㄇㄛ4" - ], - "袝": [ - "ㄈㄨ4" - ], - "袞": [ - "ㄍㄨㄣ3" - ], - "袟": [ - "ㄓ4" - ], - "袠": [ - "ㄓ4" - ], - "袡": [ - "ㄖㄢ2" - ], - "袢": [ - "ㄆㄢ4", - "ㄈㄢ2" - ], - "袣": [ - "ㄧ4" - ], - "袤": [ - "ㄇㄠ4", - "ㄇㄡ2" - ], - "袥": [ - "ㄊㄨㄛ1" - ], - "袦": [ - "ㄋㄚ4", - "ㄐㄩㄝ2" - ], - "袧": [ - "ㄍㄡ1", - "ㄍㄡ4" - ], - "袨": [ - "ㄒㄩㄢ4" - ], - "袩": [ - "ㄓㄜ2", - "ㄔㄢ1" - ], - "袪": [ - "ㄑㄩ1" - ], - "被": [ - "ㄅㄟ4", - "ㄅㄧ4", - "ㄆㄧ1", - "ㄆㄧ4" - ], - "袬": [ - "ㄩ4" - ], - "袭": [ - "ㄒㄧ2" - ], - "袮": [ - "ㄇㄧ2" - ], - "袯": [ - "ㄅㄛ2" - ], - "袰": [ - "ㄅㄛ1" - ], - "袱": [ - "ㄈㄨ2" - ], - "袲": [ - "ㄔ3", - "ㄋㄨㄛ3" - ], - "袳": [ - "ㄔ3", - "ㄑㄧ3", - "ㄉㄨㄛ3", - "ㄋㄨㄛ3" - ], - "袴": [ - "ㄎㄨ4" - ], - "袵": [ - "ㄖㄣ4" - ], - "袶": [ - "ㄐㄧㄤ4" - ], - "袷": [ - "ㄐㄧㄚ2", - "ㄑㄧㄚ1", - "ㄐㄧㄚ1", - "ㄐㄧㄝ2" - ], - "袸": [ - "ㄐㄧㄢ4", - "ㄗㄨㄣ4" - ], - "袹": [ - "ㄅㄛ2", - "ㄇㄛ4" - ], - "袺": [ - "ㄐㄧㄝ2" - ], - "袻": [ - "ㄦ2" - ], - "袼": [ - "ㄍㄜ1", - "ㄌㄨㄛ4" - ], - "袽": [ - "ㄖㄨ2" - ], - "袾": [ - "ㄓㄨ1" - ], - "袿": [ - "ㄍㄨㄟ1", - "ㄍㄨㄚ4" - ], - "裀": [ - "ㄧㄣ1" - ], - "裁": [ - "ㄘㄞ2" - ], - "裂": [ - "ㄌㄧㄝ4", - "ㄌㄧㄝ3" - ], - "裃": [ - "ㄎㄚ3" - ], - "裄": [ - "ㄒㄧㄥ5" - ], - "装": [ - "ㄓㄨㄤ1" - ], - "裆": [ - "ㄉㄤ1" - ], - "裇": [ - "ㄒㄩ1" - ], - "裈": [ - "ㄎㄨㄣ1" - ], - "裉": [ - "ㄎㄣ4" - ], - "裊": [ - "ㄋㄧㄠ3" - ], - "裋": [ - "ㄕㄨ4" - ], - "裌": [ - "ㄐㄧㄚ2", - "ㄐㄧㄚ1", - "ㄒㄧㄝ2" - ], - "裍": [ - "ㄎㄨㄣ3" - ], - "裎": [ - "ㄔㄥ2", - "ㄔㄥ3" - ], - "裏": [ - "ㄌㄧ3" - ], - "裐": [ - "ㄐㄩㄢ1" - ], - "裑": [ - "ㄕㄣ1" - ], - "裒": [ - "ㄆㄡ2", - "ㄅㄠ1" - ], - "裓": [ - "ㄍㄜ2", - "ㄐㄧㄝ1" - ], - "裔": [ - "ㄧ4" - ], - "裕": [ - "ㄩ4" - ], - "裖": [ - "ㄓㄣ3" - ], - "裗": [ - "ㄌㄧㄡ2" - ], - "裘": [ - "ㄑㄧㄡ2" - ], - "裙": [ - "ㄑㄩㄣ2" - ], - "裚": [ - "ㄐㄧ4" - ], - "裛": [ - "ㄧ4" - ], - "補": [ - "ㄅㄨ3" - ], - "裝": [ - "ㄓㄨㄤ1" - ], - "裞": [ - "ㄕㄨㄟ4" - ], - "裟": [ - "ㄕㄚ1" - ], - "裠": [ - "ㄑㄩㄣ2" - ], - "裡": [ - "ㄌㄧ3" - ], - "裢": [ - "ㄌㄧㄢ2", - "ㄕㄠ1" - ], - "裣": [ - "ㄌㄧㄢ3" - ], - "裤": [ - "ㄎㄨ4" - ], - "裥": [ - "ㄐㄧㄢ3" - ], - "裦": [ - "ㄈㄡ2" - ], - "裧": [ - "ㄔㄢ1", - "ㄔㄢ4", - "ㄊㄢ3" - ], - "裨": [ - "ㄅㄧ4", - "ㄆㄧ2" - ], - "裩": [ - "ㄎㄨㄣ1" - ], - "裪": [ - "ㄊㄠ2" - ], - "裫": [ - "ㄩㄢ4" - ], - "裬": [ - "ㄌㄧㄥ2" - ], - "裭": [ - "ㄔ3" - ], - "裮": [ - "ㄔㄤ1" - ], - "裯": [ - "ㄔㄡ2", - "ㄉㄠ1" - ], - "裰": [ - "ㄉㄨㄛ1" - ], - "裱": [ - "ㄅㄧㄠ3" - ], - "裲": [ - "ㄌㄧㄤ3" - ], - "裳": [ - "ㄕㄤ5", - "ㄔㄤ2" - ], - "裴": [ - "ㄆㄟ2", - "ㄈㄟ2" - ], - "裵": [ - "ㄆㄟ2" - ], - "裶": [ - "ㄈㄟ1" - ], - "裷": [ - "ㄩㄢ1", - "ㄍㄨㄣ3" - ], - "裸": [ - "ㄌㄨㄛ3" - ], - "裹": [ - "ㄍㄨㄛ3" - ], - "裺": [ - "ㄧㄢ3", - "ㄢ1", - "ㄧㄢ4" - ], - "裻": [ - "ㄉㄨ2" - ], - "裼": [ - "ㄊㄧ4", - "ㄒㄧ1" - ], - "製": [ - "ㄓ4" - ], - "裾": [ - "ㄐㄩ1", - "ㄐㄩ4" - ], - "裿": [ - "ㄧ3", - "ㄑㄧ3" - ], - "褀": [ - "ㄑㄧ2" - ], - "褁": [ - "ㄍㄨㄛ3" - ], - "褂": [ - "ㄍㄨㄚ4" - ], - "褃": [ - "ㄎㄣ4" - ], - "褄": [ - "ㄑㄧ1" - ], - "褅": [ - "ㄊㄧ4" - ], - "褆": [ - "ㄊㄧ2", - "ㄕ4" - ], - "複": [ - "ㄈㄨ4", - "ㄈㄨ2" - ], - "褈": [ - "ㄔㄨㄥ2", - "ㄔㄨㄥ1", - "ㄓㄨㄥ4" - ], - "褉": [ - "ㄒㄧㄝ4" - ], - "褊": [ - "ㄅㄧㄢ3", - "ㄆㄧㄢ2" - ], - "褋": [ - "ㄉㄧㄝ2" - ], - "褌": [ - "ㄎㄨㄣ1" - ], - "褍": [ - "ㄉㄨㄢ1", - "ㄊㄨㄢ1" - ], - "褎": [ - "ㄒㄧㄡ4", - "ㄧㄡ4" - ], - "褏": [ - "ㄒㄧㄡ4" - ], - "褐": [ - "ㄏㄜ4" - ], - "褑": [ - "ㄩㄢ4", - "ㄩㄢ2" - ], - "褒": [ - "ㄅㄠ1" - ], - "褓": [ - "ㄅㄠ3" - ], - "褔": [ - "ㄈㄨ4" - ], - "褕": [ - "ㄩ2", - "ㄊㄡ2" - ], - "褖": [ - "ㄊㄨㄢ4" - ], - "褗": [ - "ㄧㄢ3" - ], - "褘": [ - "ㄏㄨㄟ1", - "ㄧ1" - ], - "褙": [ - "ㄅㄟ4" - ], - "褚": [ - "ㄔㄨ3", - "ㄓㄜ3", - "ㄓㄨ3" - ], - "褛": [ - "ㄌㄩ3" - ], - "褜": [ - "ㄆㄠ2" - ], - "褝": [ - "ㄉㄢ1" - ], - "褞": [ - "ㄩㄣ3", - "ㄨㄣ1" - ], - "褟": [ - "ㄊㄚ1" - ], - "褠": [ - "ㄍㄡ1" - ], - "褡": [ - "ㄉㄚ1" - ], - "褢": [ - "ㄏㄨㄞ2" - ], - "褣": [ - "ㄖㄨㄥ2" - ], - "褤": [ - "ㄩㄢ4" - ], - "褥": [ - "ㄖㄨ4", - "ㄋㄨ4" - ], - "褦": [ - "ㄋㄞ4" - ], - "褧": [ - "ㄐㄩㄥ3" - ], - "褨": [ - "ㄙㄨㄛ3", - "ㄔㄚ2" - ], - "褩": [ - "ㄅㄢ1", - "ㄆㄢ2" - ], - "褪": [ - "ㄊㄨㄟ4", - "ㄊㄨㄣ4" - ], - "褫": [ - "ㄔ3" - ], - "褬": [ - "ㄙㄤ3" - ], - "褭": [ - "ㄋㄧㄠ3" - ], - "褮": [ - "ㄧㄥ1", - "ㄧㄥ4" - ], - "褯": [ - "ㄐㄧㄝ4" - ], - "褰": [ - "ㄑㄧㄢ1" - ], - "褱": [ - "ㄏㄨㄞ2" - ], - "褲": [ - "ㄎㄨ4" - ], - "褳": [ - "ㄌㄧㄢ2" - ], - "褴": [ - "ㄌㄢ2" - ], - "褵": [ - "ㄌㄧ2" - ], - "褶": [ - "ㄓㄜ3", - "ㄉㄧㄝ2", - "ㄒㄧ2" - ], - "褷": [ - "ㄕ1" - ], - "褸": [ - "ㄌㄩ3" - ], - "褹": [ - "ㄧ4", - "ㄋㄧㄝ4" - ], - "褺": [ - "ㄉㄧㄝ1" - ], - "褻": [ - "ㄒㄧㄝ4" - ], - "褼": [ - "ㄒㄧㄢ1" - ], - "褽": [ - "ㄨㄟ4" - ], - "褾": [ - "ㄅㄧㄠ3" - ], - "褿": [ - "ㄘㄠ2" - ], - "襀": [ - "ㄐㄧ1", - "ㄐㄧ4" - ], - "襁": [ - "ㄑㄧㄤ3" - ], - "襂": [ - "ㄙㄣ1", - "ㄕㄢ1" - ], - "襃": [ - "ㄅㄠ1", - "ㄆㄡ2" - ], - "襄": [ - "ㄒㄧㄤ1" - ], - "襅": [ - "ㄅㄧ4" - ], - "襆": [ - "ㄈㄨ2", - "ㄆㄨ2" - ], - "襇": [ - "ㄐㄧㄢ3" - ], - "襈": [ - "ㄓㄨㄢ4", - "ㄐㄩㄢ4" - ], - "襉": [ - "ㄐㄧㄢ3" - ], - "襊": [ - "ㄘㄨㄟ4", - "ㄘㄨㄛ1" - ], - "襋": [ - "ㄐㄧ2" - ], - "襌": [ - "ㄉㄢ1" - ], - "襍": [ - "ㄗㄚ2" - ], - "襎": [ - "ㄈㄢ2", - "ㄅㄛ4" - ], - "襏": [ - "ㄅㄛ2", - "ㄈㄟ4" - ], - "襐": [ - "ㄒㄧㄤ4" - ], - "襑": [ - "ㄒㄧㄣ2" - ], - "襒": [ - "ㄅㄧㄝ2" - ], - "襓": [ - "ㄖㄠ2" - ], - "襔": [ - "ㄇㄢ3" - ], - "襕": [ - "ㄌㄢ2" - ], - "襖": [ - "ㄠ3" - ], - "襗": [ - "ㄗㄜ2", - "ㄉㄨㄛ2", - "ㄧ4" - ], - "襘": [ - "ㄍㄨㄟ4", - "ㄏㄨㄟ4" - ], - "襙": [ - "ㄘㄠ4" - ], - "襚": [ - "ㄙㄨㄟ4" - ], - "襛": [ - "ㄋㄨㄥ2" - ], - "襜": [ - "ㄔㄢ1", - "ㄔㄢ4", - "ㄉㄢ1" - ], - "襝": [ - "ㄌㄧㄢ3", - "ㄔㄢ1" - ], - "襞": [ - "ㄅㄧ4" - ], - "襟": [ - "ㄐㄧㄣ1" - ], - "襠": [ - "ㄉㄤ1" - ], - "襡": [ - "ㄕㄨ3", - "ㄉㄨ2" - ], - "襢": [ - "ㄊㄢ3", - "ㄓㄢ4", - "ㄔㄢ2", - "ㄓㄢ1" - ], - "襣": [ - "ㄅㄧ4" - ], - "襤": [ - "ㄌㄢ2" - ], - "襥": [ - "ㄈㄨ2" - ], - "襦": [ - "ㄖㄨ2" - ], - "襧": [ - "ㄓ3" - ], - "襨": [ - "ㄉㄨㄟ4" - ], - "襩": [ - "ㄕㄨ3" - ], - "襪": [ - "ㄨㄚ4" - ], - "襫": [ - "ㄕ4" - ], - "襬": [ - "ㄅㄞ3", - "ㄅㄟ1" - ], - "襭": [ - "ㄒㄧㄝ2" - ], - "襮": [ - "ㄅㄛ2" - ], - "襯": [ - "ㄔㄣ4" - ], - "襰": [ - "ㄌㄞ4" - ], - "襱": [ - "ㄌㄨㄥ2", - "ㄌㄨㄥ4" - ], - "襲": [ - "ㄒㄧ2" - ], - "襳": [ - "ㄒㄧㄢ1", - "ㄕㄢ1" - ], - "襴": [ - "ㄌㄢ2" - ], - "襵": [ - "ㄓㄜ3", - "ㄓㄜ2" - ], - "襶": [ - "ㄉㄞ4" - ], - "襷": [ - "ㄐㄩ3" - ], - "襸": [ - "ㄗㄢ4", - "ㄘㄨㄢ2" - ], - "襹": [ - "ㄕ1" - ], - "襺": [ - "ㄐㄧㄢ3" - ], - "襻": [ - "ㄆㄢ4" - ], - "襼": [ - "ㄧ4" - ], - "襽": [ - "ㄌㄢ2" - ], - "襾": [ - "ㄧㄚ4" - ], - "西": [ - "ㄒㄧ1" - ], - "覀": [ - "ㄒㄧ1" - ], - "要": [ - "ㄧㄠ4", - "ㄧㄠ1", - "ㄧㄠ3" - ], - "覂": [ - "ㄈㄥ3", - "ㄅㄢ3" - ], - "覃": [ - "ㄊㄢ2", - "ㄑㄧㄣ2", - "ㄧㄢ3" - ], - "覄": [ - "ㄈㄨ4" - ], - "覅": [ - "ㄈㄧㄠ4" - ], - "覆": [ - "ㄈㄨ4" - ], - "覇": [ - "ㄅㄚ4" - ], - "覈": [ - "ㄏㄜ2" - ], - "覉": [ - "ㄐㄧ1" - ], - "覊": [ - "ㄐㄧ1" - ], - "見": [ - "ㄐㄧㄢ4", - "ㄒㄧㄢ4" - ], - "覌": [ - "ㄍㄨㄢ1" - ], - "覍": [ - "ㄅㄧㄢ4" - ], - "覎": [ - "ㄧㄢ4" - ], - "規": [ - "ㄍㄨㄟ1", - "ㄍㄨㄟ4", - "ㄒㄩ4" - ], - "覐": [ - "ㄐㄩㄝ2" - ], - "覑": [ - "ㄆㄧㄢ3" - ], - "覒": [ - "ㄇㄠ4" - ], - "覓": [ - "ㄇㄧ4" - ], - "覔": [ - "ㄇㄧ4" - ], - "覕": [ - "ㄇㄧㄝ4", - "ㄆㄧㄝ1" - ], - "視": [ - "ㄕ4" - ], - "覗": [ - "ㄙ4" - ], - "覘": [ - "ㄔㄢ1", - "ㄉㄢ1", - "ㄐㄧ1" - ], - "覙": [ - "ㄌㄨㄛ2" - ], - "覚": [ - "ㄐㄩㄝ2" - ], - "覛": [ - "ㄇㄧ4" - ], - "覜": [ - "ㄊㄧㄠ4" - ], - "覝": [ - "ㄌㄧㄢ2" - ], - "覞": [ - "ㄧㄠ4" - ], - "覟": [ - "ㄓ4" - ], - "覠": [ - "ㄐㄩㄣ1" - ], - "覡": [ - "ㄒㄧ2" - ], - "覢": [ - "ㄕㄢ3" - ], - "覣": [ - "ㄨㄟ1" - ], - "覤": [ - "ㄒㄧ4" - ], - "覥": [ - "ㄊㄧㄢ3" - ], - "覦": [ - "ㄩ2" - ], - "覧": [ - "ㄌㄢ3" - ], - "覨": [ - "ㄜ4" - ], - "覩": [ - "ㄉㄨ3" - ], - "親": [ - "ㄑㄧㄣ1", - "ㄑㄧㄥ4" - ], - "覫": [ - "ㄆㄤ3" - ], - "覬": [ - "ㄐㄧ4" - ], - "覭": [ - "ㄇㄧㄥ2" - ], - "覮": [ - "ㄧㄥ2" - ], - "覯": [ - "ㄍㄡ4" - ], - "覰": [ - "ㄑㄩ1", - "ㄑㄩ4" - ], - "覱": [ - "ㄓㄢ4", - "ㄓㄢ1" - ], - "覲": [ - "ㄐㄧㄣ4" - ], - "観": [ - "ㄍㄨㄢ1" - ], - "覴": [ - "ㄉㄥ1" - ], - "覵": [ - "ㄐㄧㄢ4", - "ㄅㄧㄢ3" - ], - "覶": [ - "ㄌㄨㄛ2", - "ㄌㄨㄢ3" - ], - "覷": [ - "ㄑㄩ4" - ], - "覸": [ - "ㄐㄧㄢ1" - ], - "覹": [ - "ㄨㄟ2" - ], - "覺": [ - "ㄐㄩㄝ2", - "ㄐㄧㄠ4" - ], - "覻": [ - "ㄑㄩ1", - "ㄑㄩ4" - ], - "覼": [ - "ㄌㄨㄛ2" - ], - "覽": [ - "ㄌㄢ3", - "ㄌㄢ4" - ], - "覾": [ - "ㄕㄣ3" - ], - "覿": [ - "ㄉㄧ2", - "ㄐㄧ2" - ], - "觀": [ - "ㄍㄨㄢ1", - "ㄍㄨㄢ4" - ], - "见": [ - "ㄐㄧㄢ4", - "ㄒㄧㄢ4" - ], - "观": [ - "ㄍㄨㄢ1", - "ㄍㄨㄢ4" - ], - "觃": [ - "ㄧㄢ4" - ], - "规": [ - "ㄍㄨㄟ1" - ], - "觅": [ - "ㄇㄧ4" - ], - "视": [ - "ㄕ4" - ], - "觇": [ - "ㄔㄢ1" - ], - "览": [ - "ㄌㄢ3" - ], - "觉": [ - "ㄐㄩㄝ2", - "ㄐㄧㄠ4" - ], - "觊": [ - "ㄐㄧ4" - ], - "觋": [ - "ㄒㄧ2" - ], - "觌": [ - "ㄉㄧ2" - ], - "觍": [ - "ㄊㄧㄢ3" - ], - "觎": [ - "ㄩ2" - ], - "觏": [ - "ㄍㄡ4" - ], - "觐": [ - "ㄐㄧㄣ4" - ], - "觑": [ - "ㄑㄩ4", - "ㄑㄩ1" - ], - "角": [ - "ㄐㄧㄠ3", - "ㄐㄩㄝ2", - "ㄌㄨ4", - "ㄍㄨ3" - ], - "觓": [ - "ㄑㄧㄡ2" - ], - "觔": [ - "ㄐㄧㄣ1" - ], - "觕": [ - "ㄘㄨ1", - "ㄔㄨ4", - "ㄔㄥ2" - ], - "觖": [ - "ㄐㄩㄝ2", - "ㄎㄨㄟ4", - "ㄍㄨㄟ4" - ], - "觗": [ - "ㄓ4" - ], - "觘": [ - "ㄔㄠ4" - ], - "觙": [ - "ㄐㄧ2" - ], - "觚": [ - "ㄍㄨ1" - ], - "觛": [ - "ㄉㄢ4" - ], - "觜": [ - "ㄗ1", - "ㄗㄨㄟ3" - ], - "觝": [ - "ㄉㄧ3", - "ㄓ3" - ], - "觞": [ - "ㄕㄤ1" - ], - "觟": [ - "ㄏㄨㄚ4", - "ㄒㄧㄝ4" - ], - "觠": [ - "ㄑㄩㄢ2" - ], - "觡": [ - "ㄍㄜ2" - ], - "觢": [ - "ㄕ4" - ], - "解": [ - "ㄐㄧㄝ3", - "ㄐㄧㄝ4", - "ㄒㄧㄝ4" - ], - "觤": [ - "ㄍㄨㄟ3" - ], - "觥": [ - "ㄍㄨㄥ1" - ], - "触": [ - "ㄔㄨ4" - ], - "觧": [ - "ㄐㄧㄝ3", - "ㄐㄧㄝ4" - ], - "觨": [ - "ㄏㄨㄣ4" - ], - "觩": [ - "ㄑㄧㄡ2" - ], - "觪": [ - "ㄒㄧㄥ1" - ], - "觫": [ - "ㄙㄨ4" - ], - "觬": [ - "ㄋㄧ2" - ], - "觭": [ - "ㄐㄧ1", - "ㄑㄧ3", - "ㄑㄧ2" - ], - "觮": [ - "ㄌㄨ4" - ], - "觯": [ - "ㄓ4" - ], - "觰": [ - "ㄓㄚ1", - "ㄉㄚ3", - "ㄓㄚ3" - ], - "觱": [ - "ㄅㄧ4" - ], - "觲": [ - "ㄒㄧㄥ1" - ], - "觳": [ - "ㄏㄨ2", - "ㄑㄩㄝ4", - "ㄐㄩㄝ2" - ], - "觴": [ - "ㄕㄤ1" - ], - "觵": [ - "ㄍㄨㄥ1" - ], - "觶": [ - "ㄓ4" - ], - "觷": [ - "ㄒㄩㄝ2", - "ㄏㄨ4" - ], - "觸": [ - "ㄔㄨ4" - ], - "觹": [ - "ㄒㄧ1" - ], - "觺": [ - "ㄧ2" - ], - "觻": [ - "ㄌㄧ4", - "ㄌㄨ4" - ], - "觼": [ - "ㄐㄩㄝ2" - ], - "觽": [ - "ㄒㄧ1" - ], - "觾": [ - "ㄧㄢ4" - ], - "觿": [ - "ㄒㄧ1", - "ㄨㄟ2" - ], - "言": [ - "ㄧㄢ2", - "ㄧㄢ4", - "ㄧㄣ2" - ], - "訁": [ - "ㄧㄢ2" - ], - "訂": [ - "ㄉㄧㄥ4" - ], - "訃": [ - "ㄈㄨ4" - ], - "訄": [ - "ㄑㄧㄡ2", - "ㄎㄠ1" - ], - "訅": [ - "ㄑㄧㄡ2" - ], - "訆": [ - "ㄐㄧㄠ4" - ], - "訇": [ - "ㄏㄨㄥ1", - "ㄐㄩㄣ4", - "ㄏㄥ1" - ], - "計": [ - "ㄐㄧ4" - ], - "訉": [ - "ㄈㄢ4" - ], - "訊": [ - "ㄒㄩㄣ4" - ], - "訋": [ - "ㄉㄧㄠ4" - ], - "訌": [ - "ㄏㄨㄥ4" - ], - "訍": [ - "ㄔㄞ4", - "ㄔㄚ1", - "ㄔㄚ4" - ], - "討": [ - "ㄊㄠ3" - ], - "訏": [ - "ㄒㄩ1", - "ㄒㄩ3" - ], - "訐": [ - "ㄐㄧㄝ2", - "ㄐㄧ4" - ], - "訑": [ - "ㄧ2", - "ㄉㄢ4", - "ㄕ1", - "ㄊㄨㄛ2", - "ㄊㄨㄛ3" - ], - "訒": [ - "ㄖㄣ4" - ], - "訓": [ - "ㄒㄩㄣ4" - ], - "訔": [ - "ㄧㄣ2" - ], - "訕": [ - "ㄕㄢ4" - ], - "訖": [ - "ㄑㄧ4" - ], - "託": [ - "ㄊㄨㄛ1" - ], - "記": [ - "ㄐㄧ4" - ], - "訙": [ - "ㄒㄩㄣ4" - ], - "訚": [ - "ㄧㄣ2" - ], - "訛": [ - "ㄜ2" - ], - "訜": [ - "ㄈㄣ1", - "ㄅㄧㄣ1" - ], - "訝": [ - "ㄧㄚ4" - ], - "訞": [ - "ㄧㄠ1" - ], - "訟": [ - "ㄙㄨㄥ4" - ], - "訠": [ - "ㄕㄣ3" - ], - "訡": [ - "ㄧㄣ2" - ], - "訢": [ - "ㄒㄧㄣ1", - "ㄒㄧ1", - "ㄧㄣ2" - ], - "訣": [ - "ㄐㄩㄝ2" - ], - "訤": [ - "ㄒㄧㄠ2", - "ㄋㄚ2" - ], - "訥": [ - "ㄋㄜ4" - ], - "訦": [ - "ㄔㄣ2" - ], - "訧": [ - "ㄧㄡ2" - ], - "訨": [ - "ㄓ3" - ], - "訩": [ - "ㄒㄩㄥ1" - ], - "訪": [ - "ㄈㄤ3" - ], - "訫": [ - "ㄒㄧㄣ4" - ], - "訬": [ - "ㄔㄠ1", - "ㄇㄧㄠ3", - "ㄔㄠ3" - ], - "設": [ - "ㄕㄜ4" - ], - "訮": [ - "ㄧㄢ2" - ], - "訯": [ - "ㄙㄚ3", - "ㄙㄚ4" - ], - "訰": [ - "ㄓㄨㄣ4", - "ㄓㄨㄣ1" - ], - "許": [ - "ㄒㄩ3", - "ㄏㄨ3" - ], - "訲": [ - "ㄧ4" - ], - "訳": [ - "ㄧ4" - ], - "訴": [ - "ㄙㄨ4" - ], - "訵": [ - "ㄔ1", - "ㄔ4" - ], - "訶": [ - "ㄏㄜ1" - ], - "訷": [ - "ㄕㄣ1" - ], - "訸": [ - "ㄏㄜ2" - ], - "訹": [ - "ㄒㄩ4" - ], - "診": [ - "ㄓㄣ3" - ], - "註": [ - "ㄓㄨ4" - ], - "証": [ - "ㄓㄥ4" - ], - "訽": [ - "ㄍㄡ4" - ], - "訾": [ - "ㄗ1", - "ㄗ3" - ], - "訿": [ - "ㄗ3" - ], - "詀": [ - "ㄓㄢ1", - "ㄔㄜ4", - "ㄉㄧㄢ1", - "ㄓㄢ4", - "ㄊㄧㄝ1" - ], - "詁": [ - "ㄍㄨ3" - ], - "詂": [ - "ㄈㄨ4" - ], - "詃": [ - "ㄐㄧㄢ3" - ], - "詄": [ - "ㄉㄧㄝ2" - ], - "詅": [ - "ㄌㄧㄥ2" - ], - "詆": [ - "ㄉㄧ3", - "ㄊㄧ4" - ], - "詇": [ - "ㄧㄤ4" - ], - "詈": [ - "ㄌㄧ4" - ], - "詉": [ - "ㄋㄠ2", - "ㄋㄚ2", - "ㄋㄨ4" - ], - "詊": [ - "ㄆㄢ4" - ], - "詋": [ - "ㄓㄡ4" - ], - "詌": [ - "ㄍㄢ4" - ], - "詍": [ - "ㄧ4" - ], - "詎": [ - "ㄐㄩ4" - ], - "詏": [ - "ㄧㄠ4" - ], - "詐": [ - "ㄓㄚ4" - ], - "詑": [ - "ㄧ2", - "ㄊㄨㄛ2", - "ㄉㄨㄛ4", - "ㄧ1", - "ㄒㄧ1" - ], - "詒": [ - "ㄧ2", - "ㄉㄞ4", - "ㄊㄞ2" - ], - "詓": [ - "ㄑㄩ3" - ], - "詔": [ - "ㄓㄠ4", - "ㄓㄠ1" - ], - "評": [ - "ㄆㄧㄥ2" - ], - "詖": [ - "ㄅㄧ4" - ], - "詗": [ - "ㄒㄩㄥ4" - ], - "詘": [ - "ㄑㄩ1", - "ㄔㄨ4" - ], - "詙": [ - "ㄅㄚ2", - "ㄅㄛ2" - ], - "詚": [ - "ㄉㄚ2" - ], - "詛": [ - "ㄗㄨ3" - ], - "詜": [ - "ㄊㄠ1" - ], - "詝": [ - "ㄓㄨ3" - ], - "詞": [ - "ㄘ2" - ], - "詟": [ - "ㄓㄜ2" - ], - "詠": [ - "ㄩㄥ3" - ], - "詡": [ - "ㄒㄩ3" - ], - "詢": [ - "ㄒㄩㄣ2" - ], - "詣": [ - "ㄧ4" - ], - "詤": [ - "ㄏㄨㄤ3" - ], - "詥": [ - "ㄏㄜ2", - "ㄍㄜ2" - ], - "試": [ - "ㄕ4" - ], - "詧": [ - "ㄔㄚ2", - "ㄑㄧㄝ4" - ], - "詨": [ - "ㄒㄧㄠ4" - ], - "詩": [ - "ㄕ1" - ], - "詪": [ - "ㄏㄣ3" - ], - "詫": [ - "ㄔㄚ4", - "ㄉㄨ4" - ], - "詬": [ - "ㄍㄡ4", - "ㄏㄡ4" - ], - "詭": [ - "ㄍㄨㄟ3" - ], - "詮": [ - "ㄑㄩㄢ2" - ], - "詯": [ - "ㄏㄨㄟ4" - ], - "詰": [ - "ㄐㄧㄝ2" - ], - "話": [ - "ㄏㄨㄚ4" - ], - "該": [ - "ㄍㄞ1" - ], - "詳": [ - "ㄒㄧㄤ2", - "ㄧㄤ2" - ], - "詴": [ - "ㄨㄟ1" - ], - "詵": [ - "ㄕㄣ1" - ], - "詶": [ - "ㄓㄡ4", - "ㄔㄡ2" - ], - "詷": [ - "ㄊㄨㄥ2", - "ㄉㄨㄥ4" - ], - "詸": [ - "ㄇㄧ2" - ], - "詹": [ - "ㄓㄢ1", - "ㄉㄢ4" - ], - "詺": [ - "ㄇㄧㄥ4" - ], - "詻": [ - "ㄜ4", - "ㄌㄩㄝ4", - "ㄌㄨㄛ4" - ], - "詼": [ - "ㄏㄨㄟ1" - ], - "詽": [ - "ㄧㄢ2" - ], - "詾": [ - "ㄒㄩㄥ1" - ], - "詿": [ - "ㄍㄨㄚ4" - ], - "誀": [ - "ㄦ4", - "ㄔ3" - ], - "誁": [ - "ㄅㄧㄥ4" - ], - "誂": [ - "ㄊㄧㄠ3", - "ㄉㄧㄠ4" - ], - "誃": [ - "ㄧ2", - "ㄔ3", - "ㄔ4", - "ㄉㄨㄛ4" - ], - "誄": [ - "ㄌㄟ3" - ], - "誅": [ - "ㄓㄨ1" - ], - "誆": [ - "ㄎㄨㄤ1" - ], - "誇": [ - "ㄎㄨㄚ1", - "ㄑㄩ4" - ], - "誈": [ - "ㄨ1" - ], - "誉": [ - "ㄩ4" - ], - "誊": [ - "ㄊㄥ2" - ], - "誋": [ - "ㄐㄧ4" - ], - "誌": [ - "ㄓ4" - ], - "認": [ - "ㄖㄣ4" - ], - "誎": [ - "ㄘㄨ4" - ], - "誏": [ - "ㄌㄤ3", - "ㄌㄤ4" - ], - "誐": [ - "ㄜ2", - "ㄜ3" - ], - "誑": [ - "ㄎㄨㄤ2" - ], - "誒": [ - "ㄟ2", - "ㄒㄧ1", - "ㄧ4", - "ê1", - "ê2", - "ê3", - "ㄟ3", - "ê4", - "ㄟ4", - "ㄟ1" - ], - "誓": [ - "ㄕ4" - ], - "誔": [ - "ㄊㄧㄥ3" - ], - "誕": [ - "ㄉㄢ4" - ], - "誖": [ - "ㄅㄟ4" - ], - "誗": [ - "ㄔㄢ2" - ], - "誘": [ - "ㄧㄡ4" - ], - "誙": [ - "ㄎㄥ1" - ], - "誚": [ - "ㄑㄧㄠ4" - ], - "誛": [ - "ㄑㄧㄣ1" - ], - "誜": [ - "ㄕㄨㄚ4" - ], - "誝": [ - "ㄢ1" - ], - "語": [ - "ㄩ3", - "ㄩ4" - ], - "誟": [ - "ㄒㄧㄠ4" - ], - "誠": [ - "ㄔㄥ2" - ], - "誡": [ - "ㄐㄧㄝ4" - ], - "誢": [ - "ㄒㄧㄢ4" - ], - "誣": [ - "ㄨ1" - ], - "誤": [ - "ㄨ4" - ], - "誥": [ - "ㄍㄠ4" - ], - "誦": [ - "ㄙㄨㄥ4" - ], - "誧": [ - "ㄅㄨ1" - ], - "誨": [ - "ㄏㄨㄟ4" - ], - "誩": [ - "ㄐㄧㄥ4" - ], - "說": [ - "ㄕㄨㄛ1" - ], - "誫": [ - "ㄓㄣ4" - ], - "説": [ - "ㄕㄨㄛ1", - "ㄕㄨㄟ4", - "ㄩㄝ4", - "ㄊㄨㄛ1" - ], - "読": [ - "ㄉㄨ2" - ], - "誮": [ - "ㄏㄨㄚ1" - ], - "誯": [ - "ㄔㄤ4" - ], - "誰": [ - "ㄕㄨㄟ2", - "ㄕㄟ2" - ], - "誱": [ - "ㄐㄧㄝ2" - ], - "課": [ - "ㄎㄜ4" - ], - "誳": [ - "ㄑㄩ1", - "ㄐㄩㄝ4" - ], - "誴": [ - "ㄘㄨㄥ2" - ], - "誵": [ - "ㄒㄧㄠ2" - ], - "誶": [ - "ㄙㄨㄟ4" - ], - "誷": [ - "ㄨㄤ3" - ], - "誸": [ - "ㄒㄧㄢ2" - ], - "誹": [ - "ㄈㄟ3" - ], - "誺": [ - "ㄔ1", - "ㄌㄞ4" - ], - "誻": [ - "ㄊㄚ4" - ], - "誼": [ - "ㄧ4" - ], - "誽": [ - "ㄋㄧ4", - "ㄋㄚ2" - ], - "誾": [ - "ㄧㄣ2" - ], - "調": [ - "ㄉㄧㄠ4", - "ㄊㄧㄠ2", - "ㄓㄡ1" - ], - "諀": [ - "ㄆㄧ3", - "ㄅㄟ1" - ], - "諁": [ - "ㄓㄨㄛ2" - ], - "諂": [ - "ㄔㄢ3" - ], - "諃": [ - "ㄔㄣ1" - ], - "諄": [ - "ㄓㄨㄣ1" - ], - "諅": [ - "ㄐㄧ4", - "ㄐㄧ1" - ], - "諆": [ - "ㄑㄧ1" - ], - "談": [ - "ㄊㄢ2" - ], - "諈": [ - "ㄓㄨㄟ4" - ], - "諉": [ - "ㄨㄟ3" - ], - "諊": [ - "ㄐㄩ1" - ], - "請": [ - "ㄑㄧㄥ3", - "ㄑㄧㄥ4", - "ㄑㄧㄥ2" - ], - "諌": [ - "ㄉㄨㄥ3" - ], - "諍": [ - "ㄓㄥ4", - "ㄓㄥ1" - ], - "諎": [ - "ㄗㄜ2", - "ㄘㄨㄛ4", - "ㄗㄨㄛ4", - "ㄓㄚ3", - "ㄐㄧㄝ4" - ], - "諏": [ - "ㄗㄡ1", - "ㄓㄡ1" - ], - "諐": [ - "ㄑㄧㄢ1" - ], - "諑": [ - "ㄓㄨㄛ2" - ], - "諒": [ - "ㄌㄧㄤ4", - "ㄌㄧㄤ2" - ], - "諓": [ - "ㄐㄧㄢ4" - ], - "諔": [ - "ㄔㄨ4", - "ㄐㄧ2" - ], - "諕": [ - "ㄏㄠ2", - "ㄒㄧㄚ4", - "ㄏㄨㄛ4" - ], - "論": [ - "ㄌㄨㄣ4", - "ㄌㄨㄣ2" - ], - "諗": [ - "ㄕㄣ3", - "ㄋㄧㄝ4" - ], - "諘": [ - "ㄅㄧㄠ3" - ], - "諙": [ - "ㄏㄨㄚ4" - ], - "諚": [ - "ㄆㄧㄢ2" - ], - "諛": [ - "ㄩ2" - ], - "諜": [ - "ㄉㄧㄝ2", - "ㄒㄧㄝ4" - ], - "諝": [ - "ㄒㄩ1" - ], - "諞": [ - "ㄆㄧㄢ3", - "ㄆㄧㄢ2" - ], - "諟": [ - "ㄕ4", - "ㄉㄧ4" - ], - "諠": [ - "ㄒㄩㄢ1" - ], - "諡": [ - "ㄕ4" - ], - "諢": [ - "ㄏㄨㄣ4" - ], - "諣": [ - "ㄏㄨㄚ4", - "ㄍㄨㄚ1" - ], - "諤": [ - "ㄜ4" - ], - "諥": [ - "ㄓㄨㄥ4" - ], - "諦": [ - "ㄉㄧ4", - "ㄊㄧ2" - ], - "諧": [ - "ㄒㄧㄝ2" - ], - "諨": [ - "ㄈㄨ2" - ], - "諩": [ - "ㄆㄨ3" - ], - "諪": [ - "ㄊㄧㄥ2" - ], - "諫": [ - "ㄐㄧㄢ4", - "ㄌㄢ4" - ], - "諬": [ - "ㄑㄧ3" - ], - "諭": [ - "ㄩ4", - "ㄊㄡ3" - ], - "諮": [ - "ㄗ1" - ], - "諯": [ - "ㄓㄨㄢ1" - ], - "諰": [ - "ㄒㄧ3", - "ㄕㄞ1", - "ㄞ1" - ], - "諱": [ - "ㄏㄨㄟ4" - ], - "諲": [ - "ㄧㄣ1" - ], - "諳": [ - "ㄢ1", - "ㄊㄡ3" - ], - "諴": [ - "ㄒㄧㄢ2", - "ㄍㄢ1" - ], - "諵": [ - "ㄋㄢ2", - "ㄋㄢ4" - ], - "諶": [ - "ㄔㄣ2" - ], - "諷": [ - "ㄈㄥ3", - "ㄈㄥ4" - ], - "諸": [ - "ㄓㄨ1", - "ㄔㄨ2" - ], - "諹": [ - "ㄧㄤ2" - ], - "諺": [ - "ㄧㄢ4" - ], - "諻": [ - "ㄏㄨㄤ2" - ], - "諼": [ - "ㄒㄩㄢ1" - ], - "諽": [ - "ㄍㄜ2" - ], - "諾": [ - "ㄋㄨㄛ4" - ], - "諿": [ - "ㄑㄧ1", - "ㄒㄩ3" - ], - "謀": [ - "ㄇㄡ2" - ], - "謁": [ - "ㄧㄝ4", - "ㄞ3" - ], - "謂": [ - "ㄨㄟ4" - ], - "謃": [ - "ㄒㄧㄥ1" - ], - "謄": [ - "ㄊㄥ2" - ], - "謅": [ - "ㄓㄡ1", - "ㄔㄡ1", - "ㄔㄠ3" - ], - "謆": [ - "ㄕㄢ4" - ], - "謇": [ - "ㄐㄧㄢ3" - ], - "謈": [ - "ㄆㄛ2", - "ㄆㄠ2" - ], - "謉": [ - "ㄎㄨㄟ4", - "ㄉㄨㄟ3", - "ㄊㄨㄟ2", - "ㄍㄨㄟ3" - ], - "謊": [ - "ㄏㄨㄤ3" - ], - "謋": [ - "ㄏㄨㄛ4" - ], - "謌": [ - "ㄍㄜ1" - ], - "謍": [ - "ㄧㄥ2", - "ㄧㄥ1", - "ㄏㄨㄥ1" - ], - "謎": [ - "ㄇㄧ2" - ], - "謏": [ - "ㄒㄧㄠ3", - "ㄙㄡ3", - "ㄙㄡ4" - ], - "謐": [ - "ㄇㄧ4" - ], - "謑": [ - "ㄒㄧ3", - "ㄒㄧㄚ4", - "ㄒㄧ2" - ], - "謒": [ - "ㄑㄧㄤ1" - ], - "謓": [ - "ㄔㄣ1", - "ㄓㄣ4" - ], - "謔": [ - "ㄒㄩㄝ4" - ], - "謕": [ - "ㄊㄧ2", - "ㄙ1" - ], - "謖": [ - "ㄙㄨ4" - ], - "謗": [ - "ㄅㄤ4" - ], - "謘": [ - "ㄔ2" - ], - "謙": [ - "ㄑㄧㄢ1", - "ㄓㄢ4" - ], - "謚": [ - "ㄕ4", - "ㄧ4", - "ㄒㄧ4" - ], - "講": [ - "ㄐㄧㄤ3" - ], - "謜": [ - "ㄩㄢ2", - "ㄑㄩㄢ2" - ], - "謝": [ - "ㄒㄧㄝ4" - ], - "謞": [ - "ㄏㄜ4", - "ㄒㄧㄠ1" - ], - "謟": [ - "ㄊㄠ1" - ], - "謠": [ - "ㄧㄠ2" - ], - "謡": [ - "ㄧㄠ2" - ], - "謢": [ - "ㄌㄨ1" - ], - "謣": [ - "ㄩ2", - "ㄒㄩ1" - ], - "謤": [ - "ㄅㄧㄠ1", - "ㄆㄧㄠ1" - ], - "謥": [ - "ㄘㄨㄥ4" - ], - "謦": [ - "ㄑㄧㄥ3", - "ㄑㄧㄥ4" - ], - "謧": [ - "ㄌㄧ2" - ], - "謨": [ - "ㄇㄛ2" - ], - "謩": [ - "ㄇㄛ2" - ], - "謪": [ - "ㄕㄤ1" - ], - "謫": [ - "ㄓㄜ2", - "ㄗㄜ2" - ], - "謬": [ - "ㄇㄧㄡ4" - ], - "謭": [ - "ㄐㄧㄢ3" - ], - "謮": [ - "ㄗㄜ2" - ], - "謯": [ - "ㄐㄧㄝ1", - "ㄓㄚ1", - "ㄓㄚ3", - "ㄗㄨ3" - ], - "謰": [ - "ㄌㄧㄢ2" - ], - "謱": [ - "ㄌㄡ2", - "ㄌㄩ3" - ], - "謲": [ - "ㄘㄢ4", - "ㄗㄠ4", - "ㄙㄢ1", - "ㄔㄣ3" - ], - "謳": [ - "ㄡ1", - "ㄒㄩ2" - ], - "謴": [ - "ㄍㄨㄣ4" - ], - "謵": [ - "ㄒㄧ2", - "ㄔㄜ4" - ], - "謶": [ - "ㄓㄨㄛ2", - "ㄕㄨ4", - "ㄓㄜ1" - ], - "謷": [ - "ㄠ2", - "ㄠ4" - ], - "謸": [ - "ㄠ2" - ], - "謹": [ - "ㄐㄧㄣ3" - ], - "謺": [ - "ㄓㄜ2" - ], - "謻": [ - "ㄧ2", - "ㄔ2" - ], - "謼": [ - "ㄏㄨ1", - "ㄒㄧㄠ1" - ], - "謽": [ - "ㄐㄧㄤ4" - ], - "謾": [ - "ㄇㄢ2", - "ㄇㄢ4" - ], - "謿": [ - "ㄔㄠ2" - ], - "譀": [ - "ㄏㄢ4", - "ㄒㄧㄢ4" - ], - "譁": [ - "ㄏㄨㄚ2", - "ㄨㄚ4" - ], - "譂": [ - "ㄔㄢ3", - "ㄉㄢ4" - ], - "譃": [ - "ㄒㄩ1" - ], - "譄": [ - "ㄗㄥ1" - ], - "譅": [ - "ㄙㄜ4" - ], - "譆": [ - "ㄒㄧ1" - ], - "譇": [ - "ㄓㄚ1" - ], - "譈": [ - "ㄉㄨㄟ4" - ], - "證": [ - "ㄓㄥ4" - ], - "譊": [ - "ㄋㄠ2", - "ㄒㄧㄠ1" - ], - "譋": [ - "ㄌㄢ2" - ], - "譌": [ - "ㄜ2", - "ㄨㄚ2", - "ㄍㄨㄟ3" - ], - "譍": [ - "ㄧㄥ1", - "ㄧㄥ4" - ], - "譎": [ - "ㄐㄩㄝ2" - ], - "譏": [ - "ㄐㄧ1" - ], - "譐": [ - "ㄗㄨㄣ3" - ], - "譑": [ - "ㄐㄧㄠ3", - "ㄑㄧㄠ4" - ], - "譒": [ - "ㄅㄛ4" - ], - "譓": [ - "ㄏㄨㄟ4" - ], - "譔": [ - "ㄓㄨㄢ4", - "ㄑㄩㄢ2" - ], - "譕": [ - "ㄨ2", - "ㄇㄛ2" - ], - "譖": [ - "ㄗㄣ4", - "ㄐㄧㄢ4" - ], - "譗": [ - "ㄓㄚ2" - ], - "識": [ - "ㄕ2", - "ㄕ4", - "ㄓ4" - ], - "譙": [ - "ㄑㄧㄠ4", - "ㄑㄧㄠ2" - ], - "譚": [ - "ㄊㄢ2" - ], - "譛": [ - "ㄗㄣ4" - ], - "譜": [ - "ㄆㄨ3" - ], - "譝": [ - "ㄕㄥ2" - ], - "譞": [ - "ㄒㄩㄢ1" - ], - "譟": [ - "ㄗㄠ4" - ], - "譠": [ - "ㄊㄢ2" - ], - "譡": [ - "ㄉㄤ3" - ], - "譢": [ - "ㄙㄨㄟ4" - ], - "譣": [ - "ㄒㄧㄢ3" - ], - "譤": [ - "ㄐㄧ1" - ], - "譥": [ - "ㄐㄧㄠ4" - ], - "警": [ - "ㄐㄧㄥ3" - ], - "譧": [ - "ㄓㄢ4", - "ㄌㄧㄢ2" - ], - "譨": [ - "ㄋㄤ2", - "ㄋㄡ2" - ], - "譩": [ - "ㄧ1" - ], - "譪": [ - "ㄞ3" - ], - "譫": [ - "ㄓㄢ1" - ], - "譬": [ - "ㄆㄧ4" - ], - "譭": [ - "ㄏㄨㄟ3" - ], - "譮": [ - "ㄏㄨㄚ4", - "ㄒㄧㄝ4", - "ㄏㄨㄟ4" - ], - "譯": [ - "ㄧ4" - ], - "議": [ - "ㄧ4" - ], - "譱": [ - "ㄕㄢ4" - ], - "譲": [ - "ㄖㄤ4" - ], - "譳": [ - "ㄋㄡ4" - ], - "譴": [ - "ㄑㄧㄢ3" - ], - "譵": [ - "ㄉㄨㄟ4" - ], - "譶": [ - "ㄊㄚ4" - ], - "護": [ - "ㄏㄨ4" - ], - "譸": [ - "ㄓㄡ1", - "ㄔㄡ2" - ], - "譹": [ - "ㄏㄠ2" - ], - "譺": [ - "ㄞ4", - "ㄧ3", - "ㄋㄧ3", - "ㄧ4", - "ㄧ2" - ], - "譻": [ - "ㄧㄥ1" - ], - "譼": [ - "ㄐㄧㄢ4" - ], - "譽": [ - "ㄩ4" - ], - "譾": [ - "ㄐㄧㄢ3" - ], - "譿": [ - "ㄏㄨㄟ4" - ], - "讀": [ - "ㄉㄨ2", - "ㄉㄡ4" - ], - "讁": [ - "ㄓㄜ2" - ], - "讂": [ - "ㄒㄩㄢ4" - ], - "讃": [ - "ㄗㄢ4" - ], - "讄": [ - "ㄌㄟ3" - ], - "讅": [ - "ㄕㄣ3" - ], - "讆": [ - "ㄨㄟ4" - ], - "讇": [ - "ㄔㄢ3" - ], - "讈": [ - "ㄌㄧ4" - ], - "讉": [ - "ㄧ2", - "ㄊㄨㄟ1" - ], - "變": [ - "ㄅㄧㄢ4" - ], - "讋": [ - "ㄓㄜ2" - ], - "讌": [ - "ㄧㄢ4" - ], - "讍": [ - "ㄜ4" - ], - "讎": [ - "ㄔㄡ2" - ], - "讏": [ - "ㄨㄟ4" - ], - "讐": [ - "ㄔㄡ2" - ], - "讑": [ - "ㄧㄠ4" - ], - "讒": [ - "ㄔㄢ2" - ], - "讓": [ - "ㄖㄤ4" - ], - "讔": [ - "ㄧㄣ3" - ], - "讕": [ - "ㄌㄢ2" - ], - "讖": [ - "ㄔㄣ4", - "ㄔㄢ4" - ], - "讗": [ - "ㄒㄧㄝ2" - ], - "讘": [ - "ㄋㄧㄝ4" - ], - "讙": [ - "ㄏㄨㄢ1", - "ㄏㄨㄢ4" - ], - "讚": [ - "ㄗㄢ4" - ], - "讛": [ - "ㄧ4" - ], - "讜": [ - "ㄉㄤ3", - "ㄉㄤ4" - ], - "讝": [ - "ㄓㄢ2", - "ㄓㄢ1" - ], - "讞": [ - "ㄧㄢ4" - ], - "讟": [ - "ㄉㄨ2" - ], - "讠": [ - "ㄧㄢ2" - ], - "计": [ - "ㄐㄧ4" - ], - "订": [ - "ㄉㄧㄥ4" - ], - "讣": [ - "ㄈㄨ4" - ], - "认": [ - "ㄖㄣ4" - ], - "讥": [ - "ㄐㄧ1" - ], - "讦": [ - "ㄐㄧㄝ2" - ], - "讧": [ - "ㄏㄨㄥ4" - ], - "讨": [ - "ㄊㄠ3" - ], - "让": [ - "ㄖㄤ4" - ], - "讪": [ - "ㄕㄢ4" - ], - "讫": [ - "ㄑㄧ4" - ], - "讬": [ - "ㄊㄨㄛ1" - ], - "训": [ - "ㄒㄩㄣ4" - ], - "议": [ - "ㄧ4" - ], - "讯": [ - "ㄒㄩㄣ4" - ], - "记": [ - "ㄐㄧ4" - ], - "讱": [ - "ㄖㄣ4" - ], - "讲": [ - "ㄐㄧㄤ3" - ], - "讳": [ - "ㄏㄨㄟ4" - ], - "讴": [ - "ㄡ1" - ], - "讵": [ - "ㄐㄩ4" - ], - "讶": [ - "ㄧㄚ4" - ], - "讷": [ - "ㄋㄜ4" - ], - "许": [ - "ㄒㄩ3", - "ㄏㄨ3" - ], - "讹": [ - "ㄜ2" - ], - "论": [ - "ㄌㄨㄣ4", - "ㄌㄨㄣ2" - ], - "讻": [ - "ㄒㄩㄥ1" - ], - "讼": [ - "ㄙㄨㄥ4" - ], - "讽": [ - "ㄈㄥ3", - "ㄈㄥ4" - ], - "设": [ - "ㄕㄜ4" - ], - "访": [ - "ㄈㄤ3" - ], - "诀": [ - "ㄐㄩㄝ2" - ], - "证": [ - "ㄓㄥ4" - ], - "诂": [ - "ㄍㄨ3" - ], - "诃": [ - "ㄏㄜ1" - ], - "评": [ - "ㄆㄧㄥ2" - ], - "诅": [ - "ㄗㄨ3" - ], - "识": [ - "ㄕ2", - "ㄕ4", - "ㄓ4" - ], - "诇": [ - "ㄒㄩㄥ4" - ], - "诈": [ - "ㄓㄚ4" - ], - "诉": [ - "ㄙㄨ4" - ], - "诊": [ - "ㄓㄣ3" - ], - "诋": [ - "ㄉㄧ3" - ], - "诌": [ - "ㄓㄡ1" - ], - "词": [ - "ㄘ2" - ], - "诎": [ - "ㄑㄩ1" - ], - "诏": [ - "ㄓㄠ4" - ], - "诐": [ - "ㄅㄧ4" - ], - "译": [ - "ㄧ4" - ], - "诒": [ - "ㄧ2" - ], - "诓": [ - "ㄎㄨㄤ1" - ], - "诔": [ - "ㄌㄟ3" - ], - "试": [ - "ㄕ4" - ], - "诖": [ - "ㄍㄨㄚ4" - ], - "诗": [ - "ㄕ1" - ], - "诘": [ - "ㄐㄧ2", - "ㄐㄧㄝ2" - ], - "诙": [ - "ㄏㄨㄟ1" - ], - "诚": [ - "ㄔㄥ2" - ], - "诛": [ - "ㄓㄨ1" - ], - "诜": [ - "ㄕㄣ1" - ], - "话": [ - "ㄏㄨㄚ4" - ], - "诞": [ - "ㄉㄢ4" - ], - "诟": [ - "ㄍㄡ4" - ], - "诠": [ - "ㄑㄩㄢ2" - ], - "诡": [ - "ㄍㄨㄟ3" - ], - "询": [ - "ㄒㄩㄣ2" - ], - "诣": [ - "ㄧ4" - ], - "诤": [ - "ㄓㄥ4", - "ㄓㄥ1" - ], - "该": [ - "ㄍㄞ1" - ], - "详": [ - "ㄒㄧㄤ2" - ], - "诧": [ - "ㄔㄚ4" - ], - "诨": [ - "ㄏㄨㄣ4" - ], - "诩": [ - "ㄒㄩ3" - ], - "诪": [ - "ㄓㄡ1" - ], - "诫": [ - "ㄐㄧㄝ4" - ], - "诬": [ - "ㄨ1" - ], - "语": [ - "ㄩ3", - "ㄩ4" - ], - "诮": [ - "ㄑㄧㄠ4" - ], - "误": [ - "ㄨ4" - ], - "诰": [ - "ㄍㄠ4" - ], - "诱": [ - "ㄧㄡ4" - ], - "诲": [ - "ㄏㄨㄟ4" - ], - "诳": [ - "ㄎㄨㄤ2" - ], - "说": [ - "ㄕㄨㄛ1", - "ㄕㄨㄟ4", - "ㄩㄝ4" - ], - "诵": [ - "ㄙㄨㄥ4" - ], - "诶": [ - "ㄟ2" - ], - "请": [ - "ㄑㄧㄥ3" - ], - "诸": [ - "ㄓㄨ1" - ], - "诹": [ - "ㄗㄡ1" - ], - "诺": [ - "ㄋㄨㄛ4" - ], - "读": [ - "ㄉㄨ2", - "ㄉㄡ4" - ], - "诼": [ - "ㄓㄨㄛ2" - ], - "诽": [ - "ㄈㄟ3" - ], - "课": [ - "ㄎㄜ4" - ], - "诿": [ - "ㄨㄟ3" - ], - "谀": [ - "ㄩ2" - ], - "谁": [ - "ㄕㄨㄟ2", - "ㄕㄟ2" - ], - "谂": [ - "ㄕㄣ3" - ], - "调": [ - "ㄉㄧㄠ4", - "ㄊㄧㄠ2" - ], - "谄": [ - "ㄔㄢ3" - ], - "谅": [ - "ㄌㄧㄤ4" - ], - "谆": [ - "ㄓㄨㄣ1" - ], - "谇": [ - "ㄙㄨㄟ4" - ], - "谈": [ - "ㄊㄢ2" - ], - "谉": [ - "ㄕㄣ3" - ], - "谊": [ - "ㄧ4" - ], - "谋": [ - "ㄇㄡ2" - ], - "谌": [ - "ㄔㄣ2" - ], - "谍": [ - "ㄉㄧㄝ2" - ], - "谎": [ - "ㄏㄨㄤ3" - ], - "谏": [ - "ㄐㄧㄢ4" - ], - "谐": [ - "ㄒㄧㄝ2" - ], - "谑": [ - "ㄒㄩㄝ4" - ], - "谒": [ - "ㄧㄝ4" - ], - "谓": [ - "ㄨㄟ4" - ], - "谔": [ - "ㄜ4" - ], - "谕": [ - "ㄩ4" - ], - "谖": [ - "ㄒㄩㄢ1" - ], - "谗": [ - "ㄔㄢ2" - ], - "谘": [ - "ㄗ1" - ], - "谙": [ - "ㄢ1" - ], - "谚": [ - "ㄧㄢ4" - ], - "谛": [ - "ㄉㄧ4" - ], - "谜": [ - "ㄇㄧ2", - "ㄇㄟ4" - ], - "谝": [ - "ㄆㄧㄢ2", - "ㄆㄧㄢ3" - ], - "谞": [ - "ㄒㄩ1" - ], - "谟": [ - "ㄇㄛ2" - ], - "谠": [ - "ㄉㄤ3" - ], - "谡": [ - "ㄙㄨ4" - ], - "谢": [ - "ㄒㄧㄝ4" - ], - "谣": [ - "ㄧㄠ2" - ], - "谤": [ - "ㄅㄤ4" - ], - "谥": [ - "ㄕ4" - ], - "谦": [ - "ㄑㄧㄢ1" - ], - "谧": [ - "ㄇㄧ4" - ], - "谨": [ - "ㄐㄧㄣ3" - ], - "谩": [ - "ㄇㄢ2", - "ㄇㄢ4" - ], - "谪": [ - "ㄓㄜ2" - ], - "谫": [ - "ㄐㄧㄢ3" - ], - "谬": [ - "ㄇㄧㄡ4" - ], - "谭": [ - "ㄊㄢ2" - ], - "谮": [ - "ㄗㄣ4" - ], - "谯": [ - "ㄑㄧㄠ2", - "ㄑㄧㄠ4" - ], - "谰": [ - "ㄌㄢ2" - ], - "谱": [ - "ㄆㄨ3" - ], - "谲": [ - "ㄐㄩㄝ2" - ], - "谳": [ - "ㄧㄢ4" - ], - "谴": [ - "ㄑㄧㄢ3" - ], - "谵": [ - "ㄓㄢ1" - ], - "谶": [ - "ㄔㄣ4" - ], - "谷": [ - "ㄍㄨ3", - "ㄌㄨ4", - "ㄩ4" - ], - "谸": [ - "ㄑㄧㄢ1" - ], - "谹": [ - "ㄏㄨㄥ2" - ], - "谺": [ - "ㄒㄧㄚ1" - ], - "谻": [ - "ㄐㄧ2" - ], - "谼": [ - "ㄏㄨㄥ2" - ], - "谽": [ - "ㄏㄢ1" - ], - "谾": [ - "ㄏㄨㄥ1", - "ㄌㄨㄥ2" - ], - "谿": [ - "ㄒㄧ1", - "ㄐㄧ1" - ], - "豀": [ - "ㄒㄧ1" - ], - "豁": [ - "ㄏㄨㄛ1", - "ㄏㄨㄛ4", - "ㄏㄨㄚ2" - ], - "豂": [ - "ㄌㄧㄠ2" - ], - "豃": [ - "ㄏㄢ3", - "ㄍㄢ3" - ], - "豄": [ - "ㄉㄨ2" - ], - "豅": [ - "ㄌㄨㄥ2", - "ㄌㄨㄥ4" - ], - "豆": [ - "ㄉㄡ4" - ], - "豇": [ - "ㄐㄧㄤ1" - ], - "豈": [ - "ㄑㄧ3", - "ㄎㄞ3" - ], - "豉": [ - "ㄕ4", - "ㄔ3" - ], - "豊": [ - "ㄌㄧ3", - "ㄈㄥ1" - ], - "豋": [ - "ㄉㄥ1" - ], - "豌": [ - "ㄨㄢ1" - ], - "豍": [ - "ㄅㄧ1", - "ㄅㄧㄢ3" - ], - "豎": [ - "ㄕㄨ4" - ], - "豏": [ - "ㄒㄧㄢ4" - ], - "豐": [ - "ㄈㄥ1" - ], - "豑": [ - "ㄓ4" - ], - "豒": [ - "ㄓ4" - ], - "豓": [ - "ㄧㄢ4" - ], - "豔": [ - "ㄧㄢ4" - ], - "豕": [ - "ㄕ3" - ], - "豖": [ - "ㄔㄨ4" - ], - "豗": [ - "ㄏㄨㄟ1" - ], - "豘": [ - "ㄊㄨㄣ2" - ], - "豙": [ - "ㄧ4" - ], - "豚": [ - "ㄊㄨㄣ2", - "ㄉㄨㄣ1", - "ㄉㄨㄣ4" - ], - "豛": [ - "ㄧ4" - ], - "豜": [ - "ㄐㄧㄢ1" - ], - "豝": [ - "ㄅㄚ1" - ], - "豞": [ - "ㄏㄡ4" - ], - "豟": [ - "ㄜ4" - ], - "豠": [ - "ㄔㄨ2" - ], - "象": [ - "ㄒㄧㄤ4" - ], - "豢": [ - "ㄏㄨㄢ4" - ], - "豣": [ - "ㄐㄧㄢ1", - "ㄧㄢ4" - ], - "豤": [ - "ㄎㄣ3", - "ㄎㄨㄣ1" - ], - "豥": [ - "ㄍㄞ1" - ], - "豦": [ - "ㄐㄩ4" - ], - "豧": [ - "ㄈㄨ1", - "ㄈㄨ4", - "ㄆㄨ1" - ], - "豨": [ - "ㄒㄧ1" - ], - "豩": [ - "ㄅㄧㄣ1", - "ㄏㄨㄢ1" - ], - "豪": [ - "ㄏㄠ2" - ], - "豫": [ - "ㄩ4", - "ㄒㄧㄝ4", - "ㄕㄨ1" - ], - "豬": [ - "ㄓㄨ1" - ], - "豭": [ - "ㄐㄧㄚ1" - ], - "豮": [ - "ㄈㄣ2" - ], - "豯": [ - "ㄒㄧ1" - ], - "豰": [ - "ㄅㄛ2", - "ㄏㄨ4", - "ㄏㄨㄛ4", - "ㄍㄡ4" - ], - "豱": [ - "ㄨㄣ1" - ], - "豲": [ - "ㄏㄨㄢ2" - ], - "豳": [ - "ㄅㄧㄣ1", - "ㄅㄢ1" - ], - "豴": [ - "ㄉㄧ2" - ], - "豵": [ - "ㄗㄨㄥ1" - ], - "豶": [ - "ㄈㄣ2" - ], - "豷": [ - "ㄧ4" - ], - "豸": [ - "ㄓ4", - "ㄓㄞ4" - ], - "豹": [ - "ㄅㄠ4" - ], - "豺": [ - "ㄔㄞ2" - ], - "豻": [ - "ㄢ4" - ], - "豼": [ - "ㄆㄧ2" - ], - "豽": [ - "ㄋㄚ4" - ], - "豾": [ - "ㄆㄧ1" - ], - "豿": [ - "ㄍㄡ3" - ], - "貀": [ - "ㄋㄚ4", - "ㄉㄨㄛ4" - ], - "貁": [ - "ㄧㄡ4" - ], - "貂": [ - "ㄉㄧㄠ1" - ], - "貃": [ - "ㄇㄛ4" - ], - "貄": [ - "ㄙ4" - ], - "貅": [ - "ㄒㄧㄡ1" - ], - "貆": [ - "ㄏㄨㄢ2", - "ㄏㄨㄢ1" - ], - "貇": [ - "ㄎㄨㄣ1", - "ㄇㄠ4", - "ㄎㄣ3" - ], - "貈": [ - "ㄏㄜ2", - "ㄇㄛ4" - ], - "貉": [ - "ㄏㄠ2", - "ㄏㄜ2", - "ㄇㄛ4", - "ㄇㄚ4" - ], - "貊": [ - "ㄇㄛ4", - "ㄇㄚ2" - ], - "貋": [ - "ㄢ4" - ], - "貌": [ - "ㄇㄠ4", - "ㄇㄛ4" - ], - "貍": [ - "ㄌㄧ2", - "ㄇㄞ2", - "ㄩ4" - ], - "貎": [ - "ㄋㄧ2" - ], - "貏": [ - "ㄅㄧ3" - ], - "貐": [ - "ㄩ3" - ], - "貑": [ - "ㄐㄧㄚ1" - ], - "貒": [ - "ㄊㄨㄢ1", - "ㄊㄨㄢ4" - ], - "貓": [ - "ㄇㄠ1", - "ㄇㄠ2" - ], - "貔": [ - "ㄆㄧ2" - ], - "貕": [ - "ㄒㄧ1" - ], - "貖": [ - "ㄧ4" - ], - "貗": [ - "ㄐㄩ4", - "ㄩ2" - ], - "貘": [ - "ㄇㄛ4" - ], - "貙": [ - "ㄔㄨ1" - ], - "貚": [ - "ㄊㄢ2" - ], - "貛": [ - "ㄏㄨㄢ1" - ], - "貜": [ - "ㄐㄩㄝ2" - ], - "貝": [ - "ㄅㄟ4" - ], - "貞": [ - "ㄓㄣ1", - "ㄓㄥ1" - ], - "貟": [ - "ㄩㄢ2" - ], - "負": [ - "ㄈㄨ4" - ], - "財": [ - "ㄘㄞ2" - ], - "貢": [ - "ㄍㄨㄥ4" - ], - "貣": [ - "ㄊㄜ4" - ], - "貤": [ - "ㄧ2", - "ㄧ4" - ], - "貥": [ - "ㄏㄤ2" - ], - "貦": [ - "ㄨㄢ2" - ], - "貧": [ - "ㄆㄧㄣ2" - ], - "貨": [ - "ㄏㄨㄛ4" - ], - "販": [ - "ㄈㄢ4" - ], - "貪": [ - "ㄊㄢ1" - ], - "貫": [ - "ㄍㄨㄢ4", - "ㄨㄢ1" - ], - "責": [ - "ㄗㄜ2", - "ㄓㄞ4" - ], - "貭": [ - "ㄓ4" - ], - "貮": [ - "ㄦ4" - ], - "貯": [ - "ㄓㄨ4" - ], - "貰": [ - "ㄕ4" - ], - "貱": [ - "ㄅㄧ4" - ], - "貲": [ - "ㄗ1" - ], - "貳": [ - "ㄦ4" - ], - "貴": [ - "ㄍㄨㄟ4" - ], - "貵": [ - "ㄆㄧㄢ3" - ], - "貶": [ - "ㄅㄧㄢ3", - "ㄈㄚ2" - ], - "買": [ - "ㄇㄞ3" - ], - "貸": [ - "ㄉㄞ4", - "ㄊㄜ4" - ], - "貹": [ - "ㄕㄥ4" - ], - "貺": [ - "ㄎㄨㄤ4" - ], - "費": [ - "ㄈㄟ4", - "ㄈㄨ2", - "ㄅㄧ4" - ], - "貼": [ - "ㄊㄧㄝ1" - ], - "貽": [ - "ㄧ2" - ], - "貾": [ - "ㄔ2" - ], - "貿": [ - "ㄇㄠ4" - ], - "賀": [ - "ㄏㄜ4" - ], - "賁": [ - "ㄅㄧ4", - "ㄈㄣ2", - "ㄅㄣ1", - "ㄈㄣ4", - "ㄈㄟ2", - "ㄅㄢ1", - "ㄌㄨ4", - "ㄆㄢ1" - ], - "賂": [ - "ㄌㄨ4" - ], - "賃": [ - "ㄌㄧㄣ4" - ], - "賄": [ - "ㄏㄨㄟ4" - ], - "賅": [ - "ㄍㄞ1" - ], - "賆": [ - "ㄆㄧㄢ2" - ], - "資": [ - "ㄗ1", - "ㄗ4" - ], - "賈": [ - "ㄐㄧㄚ3", - "ㄍㄨ3", - "ㄐㄧㄚ4" - ], - "賉": [ - "ㄒㄩ4" - ], - "賊": [ - "ㄗㄟ2" - ], - "賋": [ - "ㄐㄧㄠ3" - ], - "賌": [ - "ㄍㄞ1" - ], - "賍": [ - "ㄗㄤ1" - ], - "賎": [ - "ㄐㄧㄢ4" - ], - "賏": [ - "ㄧㄥ1" - ], - "賐": [ - "ㄒㄩㄣ4" - ], - "賑": [ - "ㄓㄣ4" - ], - "賒": [ - "ㄕㄜ1", - "ㄕㄚ1" - ], - "賓": [ - "ㄅㄧㄣ1" - ], - "賔": [ - "ㄅㄧㄣ1" - ], - "賕": [ - "ㄑㄧㄡ2" - ], - "賖": [ - "ㄕㄜ1" - ], - "賗": [ - "ㄔㄨㄢ4" - ], - "賘": [ - "ㄗㄤ1" - ], - "賙": [ - "ㄓㄡ1" - ], - "賚": [ - "ㄌㄞ4" - ], - "賛": [ - "ㄗㄢ4" - ], - "賜": [ - "ㄘ4" - ], - "賝": [ - "ㄔㄣ1" - ], - "賞": [ - "ㄕㄤ3" - ], - "賟": [ - "ㄊㄧㄢ3" - ], - "賠": [ - "ㄆㄟ2" - ], - "賡": [ - "ㄍㄥ1" - ], - "賢": [ - "ㄒㄧㄢ2", - "ㄒㄧㄢ4" - ], - "賣": [ - "ㄇㄞ4" - ], - "賤": [ - "ㄐㄧㄢ4" - ], - "賥": [ - "ㄙㄨㄟ4" - ], - "賦": [ - "ㄈㄨ4" - ], - "賧": [ - "ㄊㄢ4" - ], - "賨": [ - "ㄘㄨㄥ2" - ], - "賩": [ - "ㄘㄨㄥ2" - ], - "質": [ - "ㄓ4" - ], - "賫": [ - "ㄐㄧ1" - ], - "賬": [ - "ㄓㄤ4" - ], - "賭": [ - "ㄉㄨ3" - ], - "賮": [ - "ㄐㄧㄣ4" - ], - "賯": [ - "ㄒㄩㄥ1" - ], - "賰": [ - "ㄔㄨㄣ3" - ], - "賱": [ - "ㄩㄣ3" - ], - "賲": [ - "ㄅㄠ3" - ], - "賳": [ - "ㄗㄞ1" - ], - "賴": [ - "ㄌㄞ4" - ], - "賵": [ - "ㄈㄥ4" - ], - "賶": [ - "ㄘㄤ4" - ], - "賷": [ - "ㄐㄧ1" - ], - "賸": [ - "ㄕㄥ4" - ], - "賹": [ - "ㄧ4", - "ㄞ4" - ], - "賺": [ - "ㄓㄨㄢ4", - "ㄗㄨㄢ4" - ], - "賻": [ - "ㄈㄨ4" - ], - "購": [ - "ㄍㄡ4" - ], - "賽": [ - "ㄙㄞ4" - ], - "賾": [ - "ㄗㄜ2" - ], - "賿": [ - "ㄌㄧㄠ2" - ], - "贀": [ - "ㄧ4" - ], - "贁": [ - "ㄅㄞ4" - ], - "贂": [ - "ㄔㄣ3" - ], - "贃": [ - "ㄨㄢ4" - ], - "贄": [ - "ㄓ4", - "ㄓ2" - ], - "贅": [ - "ㄓㄨㄟ4" - ], - "贆": [ - "ㄅㄧㄠ1" - ], - "贇": [ - "ㄩㄣ1", - "ㄅㄧㄣ1" - ], - "贈": [ - "ㄗㄥ4" - ], - "贉": [ - "ㄉㄢ4" - ], - "贊": [ - "ㄗㄢ4" - ], - "贋": [ - "ㄧㄢ4" - ], - "贌": [ - "ㄆㄨ2" - ], - "贍": [ - "ㄕㄢ4", - "ㄉㄢ4" - ], - "贎": [ - "ㄨㄢ4" - ], - "贏": [ - "ㄧㄥ2" - ], - "贐": [ - "ㄐㄧㄣ4" - ], - "贑": [ - "ㄍㄢ4" - ], - "贒": [ - "ㄒㄧㄢ2" - ], - "贓": [ - "ㄗㄤ1" - ], - "贔": [ - "ㄅㄧ4" - ], - "贕": [ - "ㄉㄨ2" - ], - "贖": [ - "ㄕㄨ2", - "ㄕㄨ4" - ], - "贗": [ - "ㄧㄢ4", - "ㄧㄢ2" - ], - "贘": [ - "ㄕㄤ3" - ], - "贙": [ - "ㄒㄩㄢ4" - ], - "贚": [ - "ㄌㄨㄥ4" - ], - "贛": [ - "ㄍㄢ4", - "ㄍㄨㄥ4", - "ㄓㄨㄤ4" - ], - "贜": [ - "ㄗㄤ1" - ], - "贝": [ - "ㄅㄟ4" - ], - "贞": [ - "ㄓㄣ1" - ], - "负": [ - "ㄈㄨ4" - ], - "贠": [ - "ㄩㄢ2" - ], - "贡": [ - "ㄍㄨㄥ4" - ], - "财": [ - "ㄘㄞ2" - ], - "责": [ - "ㄗㄜ2" - ], - "贤": [ - "ㄒㄧㄢ2" - ], - "败": [ - "ㄅㄞ4" - ], - "账": [ - "ㄓㄤ4" - ], - "货": [ - "ㄏㄨㄛ4" - ], - "质": [ - "ㄓ4" - ], - "贩": [ - "ㄈㄢ4" - ], - "贪": [ - "ㄊㄢ1" - ], - "贫": [ - "ㄆㄧㄣ2" - ], - "贬": [ - "ㄅㄧㄢ3" - ], - "购": [ - "ㄍㄡ4" - ], - "贮": [ - "ㄓㄨ4" - ], - "贯": [ - "ㄍㄨㄢ4" - ], - "贰": [ - "ㄦ4" - ], - "贱": [ - "ㄐㄧㄢ4" - ], - "贲": [ - "ㄅㄣ1", - "ㄅㄧ4" - ], - "贳": [ - "ㄕ4" - ], - "贴": [ - "ㄊㄧㄝ1" - ], - "贵": [ - "ㄍㄨㄟ4" - ], - "贶": [ - "ㄎㄨㄤ4" - ], - "贷": [ - "ㄉㄞ4" - ], - "贸": [ - "ㄇㄠ4" - ], - "费": [ - "ㄈㄟ4" - ], - "贺": [ - "ㄏㄜ4" - ], - "贻": [ - "ㄧ2" - ], - "贼": [ - "ㄗㄟ2" - ], - "贽": [ - "ㄓ4" - ], - "贾": [ - "ㄐㄧㄚ3", - "ㄍㄨ3" - ], - "贿": [ - "ㄏㄨㄟ4" - ], - "赀": [ - "ㄗ1" - ], - "赁": [ - "ㄌㄧㄣ4" - ], - "赂": [ - "ㄌㄨ4" - ], - "赃": [ - "ㄗㄤ1" - ], - "资": [ - "ㄗ1" - ], - "赅": [ - "ㄍㄞ1" - ], - "赆": [ - "ㄐㄧㄣ4" - ], - "赇": [ - "ㄑㄧㄡ2" - ], - "赈": [ - "ㄓㄣ4" - ], - "赉": [ - "ㄌㄞ4" - ], - "赊": [ - "ㄕㄜ1" - ], - "赋": [ - "ㄈㄨ4" - ], - "赌": [ - "ㄉㄨ3" - ], - "赍": [ - "ㄐㄧ1" - ], - "赎": [ - "ㄕㄨ2" - ], - "赏": [ - "ㄕㄤ3" - ], - "赐": [ - "ㄘ4" - ], - "赑": [ - "ㄅㄧ4" - ], - "赒": [ - "ㄓㄡ1" - ], - "赓": [ - "ㄍㄥ1" - ], - "赔": [ - "ㄆㄟ2" - ], - "赕": [ - "ㄉㄢ3" - ], - "赖": [ - "ㄌㄞ4" - ], - "赗": [ - "ㄈㄥ4" - ], - "赘": [ - "ㄓㄨㄟ4" - ], - "赙": [ - "ㄈㄨ4" - ], - "赚": [ - "ㄓㄨㄢ4", - "ㄗㄨㄢ4" - ], - "赛": [ - "ㄙㄞ4" - ], - "赜": [ - "ㄗㄜ2" - ], - "赝": [ - "ㄧㄢ4" - ], - "赞": [ - "ㄗㄢ4" - ], - "赟": [ - "ㄩㄣ1" - ], - "赠": [ - "ㄗㄥ4" - ], - "赡": [ - "ㄕㄢ4" - ], - "赢": [ - "ㄧㄥ2" - ], - "赣": [ - "ㄍㄢ4" - ], - "赤": [ - "ㄔ4" - ], - "赥": [ - "ㄒㄧ1" - ], - "赦": [ - "ㄕㄜ4", - "ㄘㄜ4" - ], - "赧": [ - "ㄋㄢ3" - ], - "赨": [ - "ㄊㄨㄥ2", - "ㄒㄩㄥ2" - ], - "赩": [ - "ㄒㄧ4" - ], - "赪": [ - "ㄔㄥ1" - ], - "赫": [ - "ㄏㄜ4", - "ㄕ4" - ], - "赬": [ - "ㄔㄥ1" - ], - "赭": [ - "ㄓㄜ3" - ], - "赮": [ - "ㄒㄧㄚ2" - ], - "赯": [ - "ㄊㄤ2" - ], - "走": [ - "ㄗㄡ3" - ], - "赱": [ - "ㄗㄡ3" - ], - "赲": [ - "ㄌㄧ4" - ], - "赳": [ - "ㄐㄧㄡ1", - "ㄐㄧㄡ4" - ], - "赴": [ - "ㄈㄨ4" - ], - "赵": [ - "ㄓㄠ4" - ], - "赶": [ - "ㄍㄢ3", - "ㄑㄧㄢ2" - ], - "起": [ - "ㄑㄧ3" - ], - "赸": [ - "ㄕㄢ4" - ], - "赹": [ - "ㄑㄩㄥ2" - ], - "赺": [ - "ㄧㄣ3", - "ㄑㄧㄣ3" - ], - "赻": [ - "ㄒㄧㄢ3" - ], - "赼": [ - "ㄗ1" - ], - "赽": [ - "ㄐㄩㄝ2", - "ㄍㄨㄟ4" - ], - "赾": [ - "ㄑㄧㄣ3" - ], - "赿": [ - "ㄔ2", - "ㄉㄧ4" - ], - "趀": [ - "ㄘ1" - ], - "趁": [ - "ㄔㄣ4", - "ㄓㄣ1", - "ㄔㄣ2", - "ㄋㄧㄢ3", - "ㄓㄣ3" - ], - "趂": [ - "ㄔㄣ4" - ], - "趃": [ - "ㄉㄧㄝ2", - "ㄊㄨ2" - ], - "趄": [ - "ㄐㄩ1", - "ㄑㄧㄝ4" - ], - "超": [ - "ㄔㄠ1", - "ㄔㄠ3", - "ㄔㄠ4", - "ㄊㄧㄠ4" - ], - "趆": [ - "ㄉㄧ1" - ], - "趇": [ - "ㄒㄧ4" - ], - "趈": [ - "ㄓㄢ1" - ], - "趉": [ - "ㄐㄩㄝ2", - "ㄐㄩ2" - ], - "越": [ - "ㄩㄝ4", - "ㄏㄨㄛ2" - ], - "趋": [ - "ㄑㄩ1" - ], - "趌": [ - "ㄐㄧ2", - "ㄐㄧㄝ2" - ], - "趍": [ - "ㄔ2", - "ㄑㄩ1" - ], - "趎": [ - "ㄔㄨ2" - ], - "趏": [ - "ㄍㄨㄚ1", - "ㄏㄨㄛ2" - ], - "趐": [ - "ㄒㄩㄝ4", - "ㄔ4" - ], - "趑": [ - "ㄗ1", - "ㄘ4" - ], - "趒": [ - "ㄊㄧㄠ2", - "ㄊㄧㄠ4", - "ㄊㄧㄠ3" - ], - "趓": [ - "ㄉㄨㄛ3" - ], - "趔": [ - "ㄌㄧㄝ4" - ], - "趕": [ - "ㄍㄢ3" - ], - "趖": [ - "ㄙㄨㄛ1" - ], - "趗": [ - "ㄘㄨ4" - ], - "趘": [ - "ㄒㄧ2" - ], - "趙": [ - "ㄓㄠ4", - "ㄉㄧㄠ4" - ], - "趚": [ - "ㄙㄨ4" - ], - "趛": [ - "ㄧㄣ3" - ], - "趜": [ - "ㄐㄩ2", - "ㄑㄩ1", - "ㄑㄧㄡ2" - ], - "趝": [ - "ㄐㄧㄢ4" - ], - "趞": [ - "ㄑㄩㄝ4", - "ㄑㄧ4", - "ㄐㄧ2" - ], - "趟": [ - "ㄊㄤ4", - "ㄓㄥ1", - "ㄓㄥ4", - "ㄔㄥ2", - "ㄊㄤ1" - ], - "趠": [ - "ㄔㄨㄛ4", - "ㄔㄠ4", - "ㄊㄧㄠ4", - "ㄓㄨㄛ2" - ], - "趡": [ - "ㄘㄨㄟ3", - "ㄨㄟ3", - "ㄐㄩ4" - ], - "趢": [ - "ㄌㄨ4" - ], - "趣": [ - "ㄑㄩ4", - "ㄘㄨ4", - "ㄑㄩ1", - "ㄘㄡ3", - "ㄗㄡ1" - ], - "趤": [ - "ㄉㄤ4" - ], - "趥": [ - "ㄑㄧㄡ1", - "ㄘㄨ4" - ], - "趦": [ - "ㄗ1" - ], - "趧": [ - "ㄊㄧ2" - ], - "趨": [ - "ㄑㄩ1", - "ㄘㄨ4", - "ㄑㄩ4", - "ㄘㄡ3" - ], - "趩": [ - "ㄔ4" - ], - "趪": [ - "ㄏㄨㄤ2", - "ㄍㄨㄤ1" - ], - "趫": [ - "ㄑㄧㄠ2", - "ㄐㄧㄠ4", - "ㄔㄠ3" - ], - "趬": [ - "ㄑㄧㄠ1" - ], - "趭": [ - "ㄐㄧㄠ4" - ], - "趮": [ - "ㄗㄠ4" - ], - "趯": [ - "ㄊㄧ4", - "ㄩㄝ4", - "ㄧㄠ4" - ], - "趰": [ - "ㄦ3" - ], - "趱": [ - "ㄗㄢ3" - ], - "趲": [ - "ㄗㄢ3", - "ㄗㄨ1" - ], - "足": [ - "ㄗㄨ2", - "ㄐㄩ4" - ], - "趴": [ - "ㄆㄚ1" - ], - "趵": [ - "ㄅㄠ4", - "ㄅㄛ1", - "ㄓㄨㄛ2", - "ㄔㄨㄛ4", - "ㄆㄠ2" - ], - "趶": [ - "ㄎㄨ4", - "ㄨ1" - ], - "趷": [ - "ㄎㄜ1" - ], - "趸": [ - "ㄉㄨㄣ3" - ], - "趹": [ - "ㄐㄩㄝ2", - "ㄍㄨㄟ4" - ], - "趺": [ - "ㄈㄨ1" - ], - "趻": [ - "ㄔㄣ3" - ], - "趼": [ - "ㄐㄧㄢ3", - "ㄧㄢ4", - "ㄧㄢ2", - "ㄐㄧㄢ1" - ], - "趽": [ - "ㄈㄤ4", - "ㄆㄤ2", - "ㄈㄤ1" - ], - "趾": [ - "ㄓ3" - ], - "趿": [ - "ㄊㄚ1", - "ㄙㄚ4", - "ㄑㄧ4" - ], - "跀": [ - "ㄩㄝ4" - ], - "跁": [ - "ㄅㄚ4", - "ㄆㄚ2" - ], - "跂": [ - "ㄑㄧ2", - "ㄑㄧ3", - "ㄑㄧ4", - "ㄐㄧ1", - "ㄓ1" - ], - "跃": [ - "ㄩㄝ4" - ], - "跄": [ - "ㄑㄧㄤ1", - "ㄑㄧㄤ4" - ], - "跅": [ - "ㄊㄨㄛ4", - "ㄔ4" - ], - "跆": [ - "ㄊㄞ2" - ], - "跇": [ - "ㄧ4" - ], - "跈": [ - "ㄋㄧㄢ3", - "ㄐㄧㄢ4", - "ㄔㄣ2", - "ㄊㄧㄢ4" - ], - "跉": [ - "ㄌㄧㄥ2" - ], - "跊": [ - "ㄇㄟ4" - ], - "跋": [ - "ㄅㄚ2", - "ㄅㄟ4" - ], - "跌": [ - "ㄉㄧㄝ1", - "ㄉㄧㄝ2", - "ㄊㄨ2" - ], - "跍": [ - "ㄎㄨ1" - ], - "跎": [ - "ㄊㄨㄛ2" - ], - "跏": [ - "ㄐㄧㄚ1" - ], - "跐": [ - "ㄘ1", - "ㄘ3", - "ㄗ3" - ], - "跑": [ - "ㄆㄠ3", - "ㄆㄠ2", - "ㄅㄛ2" - ], - "跒": [ - "ㄑㄧㄚ3" - ], - "跓": [ - "ㄓㄨ4" - ], - "跔": [ - "ㄐㄩ1", - "ㄑㄩ3" - ], - "跕": [ - "ㄉㄧㄢ3", - "ㄊㄧㄝ1", - "ㄉㄧㄝ2", - "ㄓㄢ4", - "ㄉㄧㄝ1" - ], - "跖": [ - "ㄓ2" - ], - "跗": [ - "ㄈㄨ1", - "ㄈㄨ4" - ], - "跘": [ - "ㄆㄢ2", - "ㄅㄢ4" - ], - "跙": [ - "ㄐㄩ4", - "ㄑㄩ1", - "ㄑㄧㄝ3", - "ㄓㄨ4", - "ㄑㄧㄝ4" - ], - "跚": [ - "ㄕㄢ1" - ], - "跛": [ - "ㄅㄛ3", - "ㄅㄧ4", - "ㄆㄛ1" - ], - "跜": [ - "ㄋㄧ2" - ], - "距": [ - "ㄐㄩ4" - ], - "跞": [ - "ㄌㄧ4", - "ㄌㄨㄛ4" - ], - "跟": [ - "ㄍㄣ1" - ], - "跠": [ - "ㄧ2" - ], - "跡": [ - "ㄐㄧ1" - ], - "跢": [ - "ㄉㄨㄛ4", - "ㄉㄞ4", - "ㄉㄨㄛ1", - "ㄔ2" - ], - "跣": [ - "ㄒㄧㄢ3", - "ㄒㄧㄢ1", - "ㄙㄨㄣ3" - ], - "跤": [ - "ㄐㄧㄠ1", - "ㄑㄧㄠ1" - ], - "跥": [ - "ㄉㄨㄛ4" - ], - "跦": [ - "ㄓㄨ1", - "ㄔㄨ2" - ], - "跧": [ - "ㄑㄩㄢ2", - "ㄗㄨㄣ1" - ], - "跨": [ - "ㄎㄨㄚ4", - "ㄎㄨ4", - "ㄎㄨㄚ1", - "ㄎㄨㄚ3" - ], - "跩": [ - "ㄓㄨㄞ3", - "ㄕ4" - ], - "跪": [ - "ㄍㄨㄟ4" - ], - "跫": [ - "ㄑㄩㄥ2", - "ㄑㄧㄤ1", - "ㄑㄩㄥ1" - ], - "跬": [ - "ㄎㄨㄟ3", - "ㄒㄧㄝ4" - ], - "跭": [ - "ㄒㄧㄤ2" - ], - "跮": [ - "ㄔ4", - "ㄉㄧㄝ2" - ], - "路": [ - "ㄌㄨ4", - "ㄌㄨㄛ4" - ], - "跰": [ - "ㄆㄧㄢ2", - "ㄅㄥ4", - "ㄅㄧㄥ3" - ], - "跱": [ - "ㄓ4" - ], - "跲": [ - "ㄐㄧㄚ2", - "ㄐㄧㄝ2" - ], - "跳": [ - "ㄊㄧㄠ4", - "ㄉㄧㄠ4", - "ㄊㄠ2" - ], - "跴": [ - "ㄘㄞ3" - ], - "践": [ - "ㄐㄧㄢ4" - ], - "跶": [ - "ㄉㄚ2", - "ㄉㄚ5" - ], - "跷": [ - "ㄑㄧㄠ1" - ], - "跸": [ - "ㄅㄧ4" - ], - "跹": [ - "ㄒㄧㄢ1" - ], - "跺": [ - "ㄉㄨㄛ4" - ], - "跻": [ - "ㄐㄧ1" - ], - "跼": [ - "ㄐㄩ2", - "ㄑㄩ4" - ], - "跽": [ - "ㄐㄧ4" - ], - "跾": [ - "ㄕㄨ1", - "ㄔㄡ1" - ], - "跿": [ - "ㄊㄨ2", - "ㄉㄨㄛ2", - "ㄔㄨㄛ1" - ], - "踀": [ - "ㄔㄨ4", - "ㄘㄨ4" - ], - "踁": [ - "ㄐㄧㄥ4", - "ㄎㄥ1" - ], - "踂": [ - "ㄋㄧㄝ4" - ], - "踃": [ - "ㄒㄧㄠ1", - "ㄑㄧㄠ4" - ], - "踄": [ - "ㄅㄨ4" - ], - "踅": [ - "ㄒㄩㄝ2", - "ㄔ4" - ], - "踆": [ - "ㄘㄨㄣ1", - "ㄑㄩㄣ1", - "ㄘㄨㄣ2", - "ㄗㄨㄣ1", - "ㄑㄧㄡ4", - "ㄓㄨㄣ1" - ], - "踇": [ - "ㄇㄨ3" - ], - "踈": [ - "ㄕㄨ1" - ], - "踉": [ - "ㄌㄧㄤ2", - "ㄌㄧㄤ4", - "ㄌㄤ2", - "ㄌㄤ4" - ], - "踊": [ - "ㄩㄥ3" - ], - "踋": [ - "ㄐㄧㄠ3" - ], - "踌": [ - "ㄔㄡ2" - ], - "踍": [ - "ㄑㄧㄠ1" - ], - "踎": [ - "ㄇㄡ2" - ], - "踏": [ - "ㄊㄚ4", - "ㄊㄚ1" - ], - "踐": [ - "ㄐㄧㄢ4" - ], - "踑": [ - "ㄑㄧ2", - "ㄐㄧ1", - "ㄐㄧ4" - ], - "踒": [ - "ㄨㄛ1", - "ㄨㄟ1", - "ㄖㄨㄟ2" - ], - "踓": [ - "ㄨㄟ3", - "ㄘㄨ4" - ], - "踔": [ - "ㄔㄨㄛ1", - "ㄉㄧㄠ4", - "ㄓㄨㄛ1", - "ㄊㄧㄠ4", - "ㄔㄨㄛ4" - ], - "踕": [ - "ㄐㄧㄝ2" - ], - "踖": [ - "ㄐㄧ2", - "ㄑㄧ4", - "ㄑㄩㄝ4" - ], - "踗": [ - "ㄋㄧㄝ4" - ], - "踘": [ - "ㄐㄩ1" - ], - "踙": [ - "ㄋㄧㄝ4" - ], - "踚": [ - "ㄌㄨㄣ2" - ], - "踛": [ - "ㄌㄨ4" - ], - "踜": [ - "ㄌㄥ4", - "ㄌㄥ2", - "ㄔㄥ3" - ], - "踝": [ - "ㄏㄨㄞ2" - ], - "踞": [ - "ㄐㄩ4" - ], - "踟": [ - "ㄔ2" - ], - "踠": [ - "ㄨㄢ3", - "ㄨㄛ4" - ], - "踡": [ - "ㄑㄩㄢ2", - "ㄐㄩㄢ3" - ], - "踢": [ - "ㄊㄧ1", - "ㄉㄧㄝ2" - ], - "踣": [ - "ㄅㄛ2", - "ㄆㄡ4" - ], - "踤": [ - "ㄗㄨ2", - "ㄘㄨ4", - "ㄘㄨㄟ4" - ], - "踥": [ - "ㄑㄧㄝ4" - ], - "踦": [ - "ㄧ3", - "ㄑㄧ1", - "ㄐㄧ1", - "ㄐㄧ3", - "ㄧ4" - ], - "踧": [ - "ㄘㄨ4", - "ㄉㄧ2" - ], - "踨": [ - "ㄗㄨㄥ1" - ], - "踩": [ - "ㄘㄞ3", - "ㄎㄨㄟ2" - ], - "踪": [ - "ㄗㄨㄥ1" - ], - "踫": [ - "ㄆㄥ4", - "ㄆㄢ2" - ], - "踬": [ - "ㄓ4" - ], - "踭": [ - "ㄓㄥ1" - ], - "踮": [ - "ㄉㄧㄢ3" - ], - "踯": [ - "ㄓ2" - ], - "踰": [ - "ㄩ2", - "ㄧㄠ2", - "ㄔㄨ1" - ], - "踱": [ - "ㄉㄨㄛ2", - "ㄔㄨㄛ4", - "ㄉㄨㄛ4" - ], - "踲": [ - "ㄉㄨㄣ4" - ], - "踳": [ - "ㄔㄨㄢ3", - "ㄔㄨㄣ3", - "ㄔㄨㄣ1" - ], - "踴": [ - "ㄩㄥ3" - ], - "踵": [ - "ㄓㄨㄥ3", - "ㄓㄨㄥ4" - ], - "踶": [ - "ㄉㄧ4", - "ㄓ4", - "ㄊㄧ2", - "ㄔ2", - "ㄕ4" - ], - "踷": [ - "ㄓㄚ3" - ], - "踸": [ - "ㄔㄣ3" - ], - "踹": [ - "ㄔㄨㄞ4", - "ㄕㄨㄢ4", - "ㄉㄨㄢ4", - "ㄔㄨㄢ3" - ], - "踺": [ - "ㄐㄧㄢ4" - ], - "踻": [ - "ㄍㄨㄚ1", - "ㄍㄨㄚ3", - "ㄊㄨㄛ2" - ], - "踼": [ - "ㄊㄤ2", - "ㄊㄤ3", - "ㄕㄤ1" - ], - "踽": [ - "ㄐㄩ3" - ], - "踾": [ - "ㄈㄨ2", - "ㄅㄧ4" - ], - "踿": [ - "ㄗㄨ2" - ], - "蹀": [ - "ㄉㄧㄝ2" - ], - "蹁": [ - "ㄆㄧㄢ2" - ], - "蹂": [ - "ㄖㄡ2", - "ㄖㄡ3" - ], - "蹃": [ - "ㄋㄨㄛ4", - "ㄖㄜ4", - "ㄋㄚ4" - ], - "蹄": [ - "ㄊㄧ2", - "ㄉㄧ4" - ], - "蹅": [ - "ㄔㄚ3", - "ㄓㄚ1" - ], - "蹆": [ - "ㄊㄨㄟ3" - ], - "蹇": [ - "ㄐㄧㄢ3" - ], - "蹈": [ - "ㄉㄠ3" - ], - "蹉": [ - "ㄘㄨㄛ1" - ], - "蹊": [ - "ㄑㄧ1", - "ㄒㄧ1" - ], - "蹋": [ - "ㄊㄚ4" - ], - "蹌": [ - "ㄑㄧㄤ1", - "ㄑㄧㄤ4" - ], - "蹍": [ - "ㄋㄧㄢ3", - "ㄓㄢ3", - "ㄔㄢ2" - ], - "蹎": [ - "ㄉㄧㄢ1" - ], - "蹏": [ - "ㄊㄧ2" - ], - "蹐": [ - "ㄐㄧ2" - ], - "蹑": [ - "ㄋㄧㄝ4" - ], - "蹒": [ - "ㄆㄢ2", - "ㄇㄢ2" - ], - "蹓": [ - "ㄌㄧㄡ1", - "ㄌㄧㄡ4" - ], - "蹔": [ - "ㄗㄢ4", - "ㄘㄢ2" - ], - "蹕": [ - "ㄅㄧ4" - ], - "蹖": [ - "ㄔㄨㄥ1" - ], - "蹗": [ - "ㄌㄨ4" - ], - "蹘": [ - "ㄌㄧㄠ2" - ], - "蹙": [ - "ㄘㄨ4" - ], - "蹚": [ - "ㄊㄤ1", - "ㄊㄤ4", - "ㄔㄥ1" - ], - "蹛": [ - "ㄉㄞ4", - "ㄉㄧㄝ1", - "ㄉㄢ1", - "ㄓ4" - ], - "蹜": [ - "ㄙㄨ4" - ], - "蹝": [ - "ㄒㄧ3" - ], - "蹞": [ - "ㄎㄨㄟ3" - ], - "蹟": [ - "ㄐㄧ1" - ], - "蹠": [ - "ㄓ2", - "ㄓㄨㄛ2" - ], - "蹡": [ - "ㄑㄧㄤ1", - "ㄑㄧㄤ4" - ], - "蹢": [ - "ㄉㄧ2", - "ㄓ2" - ], - "蹣": [ - "ㄆㄢ2", - "ㄇㄢ2", - "ㄌㄧㄤ3" - ], - "蹤": [ - "ㄗㄨㄥ1" - ], - "蹥": [ - "ㄌㄧㄢ2" - ], - "蹦": [ - "ㄅㄥ4" - ], - "蹧": [ - "ㄗㄠ1" - ], - "蹨": [ - "ㄋㄧㄢ3", - "ㄖㄢ3" - ], - "蹩": [ - "ㄅㄧㄝ2" - ], - "蹪": [ - "ㄊㄨㄟ2" - ], - "蹫": [ - "ㄐㄩ2" - ], - "蹬": [ - "ㄉㄥ1", - "ㄉㄥ4" - ], - "蹭": [ - "ㄘㄥ4", - "ㄘㄥ2" - ], - "蹮": [ - "ㄒㄧㄢ1" - ], - "蹯": [ - "ㄈㄢ2" - ], - "蹰": [ - "ㄔㄨ2" - ], - "蹱": [ - "ㄓㄨㄥ1", - "ㄔㄨㄥ4" - ], - "蹲": [ - "ㄉㄨㄣ1", - "ㄗㄨㄣ2", - "ㄘㄨㄣ2", - "ㄗㄨㄣ1", - "ㄘㄨㄣ3", - "ㄘㄨㄢ2", - "ㄑㄩㄣ3" - ], - "蹳": [ - "ㄅㄛ1" - ], - "蹴": [ - "ㄘㄨ4", - "ㄗㄨ2", - "ㄐㄧㄡ5" - ], - "蹵": [ - "ㄘㄨ4" - ], - "蹶": [ - "ㄐㄩㄝ2", - "ㄐㄩㄝ3", - "ㄍㄨㄟ4" - ], - "蹷": [ - "ㄐㄩㄝ2" - ], - "蹸": [ - "ㄌㄧㄣ4", - "ㄌㄧㄣ2" - ], - "蹹": [ - "ㄊㄚ2" - ], - "蹺": [ - "ㄑㄧㄠ1", - "ㄑㄧㄠ4" - ], - "蹻": [ - "ㄐㄩㄝ1", - "ㄑㄧㄠ1", - "ㄐㄧㄠ3", - "ㄐㄩㄝ2", - "ㄐㄩ2", - "ㄒㄩㄝ4" - ], - "蹼": [ - "ㄆㄨ3" - ], - "蹽": [ - "ㄌㄧㄠ1" - ], - "蹾": [ - "ㄉㄨㄣ1" - ], - "蹿": [ - "ㄘㄨㄢ1" - ], - "躀": [ - "ㄍㄨㄢ4" - ], - "躁": [ - "ㄗㄠ4" - ], - "躂": [ - "ㄉㄚ2" - ], - "躃": [ - "ㄅㄧ4" - ], - "躄": [ - "ㄅㄧ4" - ], - "躅": [ - "ㄓㄨ2", - "ㄓㄨㄛ2" - ], - "躆": [ - "ㄐㄩ4" - ], - "躇": [ - "ㄔㄨ2", - "ㄔㄨㄛ4" - ], - "躈": [ - "ㄑㄧㄠ4" - ], - "躉": [ - "ㄉㄨㄣ3" - ], - "躊": [ - "ㄔㄡ2" - ], - "躋": [ - "ㄐㄧ1" - ], - "躌": [ - "ㄨ3" - ], - "躍": [ - "ㄩㄝ4", - "ㄊㄧ4" - ], - "躎": [ - "ㄋㄧㄢ3" - ], - "躏": [ - "ㄌㄧㄣ4" - ], - "躐": [ - "ㄌㄧㄝ4" - ], - "躑": [ - "ㄓ2" - ], - "躒": [ - "ㄌㄧ4", - "ㄩㄝ4", - "ㄌㄨㄛ4" - ], - "躓": [ - "ㄓ4", - "ㄓ1" - ], - "躔": [ - "ㄔㄢ2", - "ㄓㄢ4" - ], - "躕": [ - "ㄔㄨ2" - ], - "躖": [ - "ㄉㄨㄢ4" - ], - "躗": [ - "ㄨㄟ4" - ], - "躘": [ - "ㄌㄨㄥ2", - "ㄌㄨㄥ3" - ], - "躙": [ - "ㄌㄧㄣ4" - ], - "躚": [ - "ㄒㄧㄢ1" - ], - "躛": [ - "ㄨㄟ4" - ], - "躜": [ - "ㄗㄨㄢ1" - ], - "躝": [ - "ㄌㄢ2" - ], - "躞": [ - "ㄒㄧㄝ4" - ], - "躟": [ - "ㄖㄤ2" - ], - "躠": [ - "ㄙㄚ3", - "ㄒㄧㄝ4" - ], - "躡": [ - "ㄋㄧㄝ4" - ], - "躢": [ - "ㄊㄚ4" - ], - "躣": [ - "ㄑㄩ2" - ], - "躤": [ - "ㄐㄧ2" - ], - "躥": [ - "ㄘㄨㄢ1" - ], - "躦": [ - "ㄘㄨㄛ2", - "ㄗㄨㄢ1" - ], - "躧": [ - "ㄒㄧ3" - ], - "躨": [ - "ㄎㄨㄟ2" - ], - "躩": [ - "ㄐㄩㄝ2", - "ㄑㄧ4" - ], - "躪": [ - "ㄌㄧㄣ4" - ], - "身": [ - "ㄕㄣ1", - "ㄐㄩㄢ1" - ], - "躬": [ - "ㄍㄨㄥ1" - ], - "躭": [ - "ㄉㄢ1" - ], - "躮": [ - "ㄈㄣ1" - ], - "躯": [ - "ㄑㄩ1" - ], - "躰": [ - "ㄊㄧ3" - ], - "躱": [ - "ㄉㄨㄛ3" - ], - "躲": [ - "ㄉㄨㄛ3" - ], - "躳": [ - "ㄍㄨㄥ1" - ], - "躴": [ - "ㄌㄤ2" - ], - "躵": [ - "ㄖㄣ3" - ], - "躶": [ - "ㄌㄨㄛ3" - ], - "躷": [ - "ㄞ3" - ], - "躸": [ - "ㄐㄧ1" - ], - "躹": [ - "ㄐㄩ2" - ], - "躺": [ - "ㄊㄤ3", - "ㄊㄤ4" - ], - "躻": [ - "ㄎㄨㄥ1" - ], - "躼": [ - "ㄌㄠ4" - ], - "躽": [ - "ㄧㄢ3", - "ㄧㄢ4" - ], - "躾": [ - "ㄇㄟ3" - ], - "躿": [ - "ㄎㄤ1" - ], - "軀": [ - "ㄑㄩ1" - ], - "軁": [ - "ㄌㄡ2", - "ㄌㄩ3" - ], - "軂": [ - "ㄌㄠ4" - ], - "軃": [ - "ㄉㄨㄛ3", - "ㄊㄨㄛ3" - ], - "軄": [ - "ㄓ2" - ], - "軅": [ - "ㄧㄢ4" - ], - "軆": [ - "ㄊㄧ3" - ], - "軇": [ - "ㄉㄠ4" - ], - "軈": [ - "ㄧㄥ1" - ], - "軉": [ - "ㄩ4" - ], - "車": [ - "ㄔㄜ1", - "ㄐㄩ1" - ], - "軋": [ - "ㄧㄚ4", - "ㄓㄚ2", - "ㄍㄚ2" - ], - "軌": [ - "ㄍㄨㄟ3" - ], - "軍": [ - "ㄐㄩㄣ1" - ], - "軎": [ - "ㄨㄟ4" - ], - "軏": [ - "ㄩㄝ4" - ], - "軐": [ - "ㄒㄧㄣ4", - "ㄒㄧㄢ4" - ], - "軑": [ - "ㄉㄞ4" - ], - "軒": [ - "ㄒㄩㄢ1", - "ㄒㄧㄢ3", - "ㄒㄧㄢ4", - "ㄏㄢ3", - "ㄐㄧㄢ1" - ], - "軓": [ - "ㄈㄢ4" - ], - "軔": [ - "ㄖㄣ4" - ], - "軕": [ - "ㄕㄢ1" - ], - "軖": [ - "ㄎㄨㄤ2" - ], - "軗": [ - "ㄕㄨ1" - ], - "軘": [ - "ㄊㄨㄣ2" - ], - "軙": [ - "ㄔㄣ2", - "ㄑㄧ2" - ], - "軚": [ - "ㄉㄞ4" - ], - "軛": [ - "ㄜ4" - ], - "軜": [ - "ㄋㄚ4" - ], - "軝": [ - "ㄑㄧ2" - ], - "軞": [ - "ㄇㄠ2" - ], - "軟": [ - "ㄖㄨㄢ3" - ], - "軠": [ - "ㄎㄨㄤ2" - ], - "軡": [ - "ㄑㄧㄢ2" - ], - "転": [ - "ㄓㄨㄢ3" - ], - "軣": [ - "ㄏㄨㄥ1" - ], - "軤": [ - "ㄏㄨ1" - ], - "軥": [ - "ㄑㄩ2", - "ㄍㄡ1", - "ㄍㄡ4", - "ㄐㄩ1" - ], - "軦": [ - "ㄎㄨㄤ4" - ], - "軧": [ - "ㄉㄧ3", - "ㄔ2" - ], - "軨": [ - "ㄌㄧㄥ2", - "ㄌㄧㄥ3" - ], - "軩": [ - "ㄉㄞ4" - ], - "軪": [ - "ㄠ1", - "ㄠ4" - ], - "軫": [ - "ㄓㄣ3" - ], - "軬": [ - "ㄈㄢ4", - "ㄅㄣ4" - ], - "軭": [ - "ㄎㄨㄤ1" - ], - "軮": [ - "ㄧㄤ3" - ], - "軯": [ - "ㄆㄥ1" - ], - "軰": [ - "ㄅㄟ4" - ], - "軱": [ - "ㄍㄨ1" - ], - "軲": [ - "ㄍㄨ1" - ], - "軳": [ - "ㄆㄠ2" - ], - "軴": [ - "ㄓㄨ4" - ], - "軵": [ - "ㄖㄨㄥ3", - "ㄈㄨ3", - "ㄈㄨ4", - "ㄖㄨㄥ2" - ], - "軶": [ - "ㄜ4" - ], - "軷": [ - "ㄅㄚ2" - ], - "軸": [ - "ㄓㄡ2", - "ㄓㄨ2", - "ㄓㄡ4" - ], - "軹": [ - "ㄓ3" - ], - "軺": [ - "ㄧㄠ2", - "ㄉㄧㄠ1" - ], - "軻": [ - "ㄎㄜ1" - ], - "軼": [ - "ㄧ4", - "ㄉㄧㄝ2", - "ㄓㄜ2" - ], - "軽": [ - "ㄓ4", - "ㄑㄧㄥ1" - ], - "軾": [ - "ㄕ4" - ], - "軿": [ - "ㄆㄧㄥ2" - ], - "輀": [ - "ㄦ2" - ], - "輁": [ - "ㄍㄨㄥ3" - ], - "輂": [ - "ㄐㄩ2" - ], - "較": [ - "ㄐㄧㄠ4", - "ㄐㄩㄝ2", - "ㄒㄧㄠ4" - ], - "輄": [ - "ㄍㄨㄤ1" - ], - "輅": [ - "ㄏㄜ2", - "ㄌㄨ4", - "ㄧㄚ4" - ], - "輆": [ - "ㄎㄞ3", - "ㄎㄞ4" - ], - "輇": [ - "ㄑㄩㄢ2", - "ㄔㄨㄣ1" - ], - "輈": [ - "ㄓㄡ1" - ], - "載": [ - "ㄗㄞ4", - "ㄗㄞ3", - "ㄉㄞ4", - "ㄗㄞ1", - "ㄗ1" - ], - "輊": [ - "ㄓ4" - ], - "輋": [ - "ㄕㄜ1" - ], - "輌": [ - "ㄌㄧㄤ4" - ], - "輍": [ - "ㄩ4" - ], - "輎": [ - "ㄕㄠ1" - ], - "輏": [ - "ㄧㄡ2" - ], - "輐": [ - "ㄨㄢ4", - "ㄩㄢ3" - ], - "輑": [ - "ㄧㄣ3", - "ㄑㄩㄣ1" - ], - "輒": [ - "ㄓㄜ2" - ], - "輓": [ - "ㄨㄢ3" - ], - "輔": [ - "ㄈㄨ3" - ], - "輕": [ - "ㄑㄧㄥ1", - "ㄑㄧㄥ4" - ], - "輖": [ - "ㄓㄡ1" - ], - "輗": [ - "ㄋㄧ2", - "ㄧ4" - ], - "輘": [ - "ㄌㄥ2", - "ㄌㄧㄥ2", - "ㄌㄥ4" - ], - "輙": [ - "ㄓㄜ2" - ], - "輚": [ - "ㄓㄢ4" - ], - "輛": [ - "ㄌㄧㄤ4" - ], - "輜": [ - "ㄗ1", - "ㄗ4" - ], - "輝": [ - "ㄏㄨㄟ1" - ], - "輞": [ - "ㄨㄤ3" - ], - "輟": [ - "ㄔㄨㄛ4" - ], - "輠": [ - "ㄍㄨㄛ3", - "ㄏㄨㄚ4", - "ㄏㄨㄟ4" - ], - "輡": [ - "ㄎㄢ3" - ], - "輢": [ - "ㄧ3" - ], - "輣": [ - "ㄆㄥ2" - ], - "輤": [ - "ㄑㄧㄢ4" - ], - "輥": [ - "ㄍㄨㄣ3" - ], - "輦": [ - "ㄋㄧㄢ3", - "ㄌㄧㄢ3" - ], - "輧": [ - "ㄆㄧㄥ2", - "ㄆㄥ1" - ], - "輨": [ - "ㄍㄨㄢ3" - ], - "輩": [ - "ㄅㄟ4" - ], - "輪": [ - "ㄌㄨㄣ2" - ], - "輫": [ - "ㄆㄞ2" - ], - "輬": [ - "ㄌㄧㄤ2" - ], - "輭": [ - "ㄖㄨㄢ3", - "ㄦ2" - ], - "輮": [ - "ㄖㄡ2", - "ㄖㄡ3" - ], - "輯": [ - "ㄐㄧ2" - ], - "輰": [ - "ㄧㄤ2" - ], - "輱": [ - "ㄒㄧㄢ2", - "ㄎㄢ4" - ], - "輲": [ - "ㄔㄨㄢ2" - ], - "輳": [ - "ㄘㄡ4" - ], - "輴": [ - "ㄔㄨㄣ1", - "ㄕㄨㄣ3" - ], - "輵": [ - "ㄍㄜ2", - "ㄧㄚ4", - "ㄜ4", - "ㄑㄧㄝ4" - ], - "輶": [ - "ㄧㄡ2" - ], - "輷": [ - "ㄏㄨㄥ1" - ], - "輸": [ - "ㄕㄨ1", - "ㄕㄨ4" - ], - "輹": [ - "ㄈㄨ4", - "ㄅㄨ2" - ], - "輺": [ - "ㄗ1" - ], - "輻": [ - "ㄈㄨ2" - ], - "輼": [ - "ㄨㄣ1", - "ㄩㄣ1" - ], - "輽": [ - "ㄅㄣ4" - ], - "輾": [ - "ㄓㄢ3", - "ㄋㄧㄢ3" - ], - "輿": [ - "ㄩ2", - "ㄩ4" - ], - "轀": [ - "ㄨㄣ1" - ], - "轁": [ - "ㄊㄠ1", - "ㄎㄢ3" - ], - "轂": [ - "ㄍㄨ3", - "ㄍㄨ1" - ], - "轃": [ - "ㄓㄣ1" - ], - "轄": [ - "ㄒㄧㄚ2", - "ㄏㄜ2" - ], - "轅": [ - "ㄩㄢ2" - ], - "轆": [ - "ㄌㄨ4" - ], - "轇": [ - "ㄐㄧㄠ1", - "ㄒㄧㄠ3" - ], - "轈": [ - "ㄔㄠ2" - ], - "轉": [ - "ㄓㄨㄢ3", - "ㄓㄨㄢ4", - "ㄓㄨㄞ3" - ], - "轊": [ - "ㄨㄟ4" - ], - "轋": [ - "ㄏㄨㄣ2" - ], - "轌": [ - "ㄒㄩㄝ3" - ], - "轍": [ - "ㄓㄜ2" - ], - "轎": [ - "ㄐㄧㄠ4" - ], - "轏": [ - "ㄓㄢ4" - ], - "轐": [ - "ㄅㄨ2" - ], - "轑": [ - "ㄌㄠ3", - "ㄌㄠ2", - "ㄌㄧㄠ2", - "ㄌㄧㄠ3", - "ㄌㄧㄠ4" - ], - "轒": [ - "ㄈㄣ2" - ], - "轓": [ - "ㄈㄢ1" - ], - "轔": [ - "ㄌㄧㄣ2", - "ㄌㄧㄣ4" - ], - "轕": [ - "ㄍㄜ2" - ], - "轖": [ - "ㄙㄜ4" - ], - "轗": [ - "ㄎㄢ3" - ], - "轘": [ - "ㄏㄨㄢ2", - "ㄏㄨㄢ4" - ], - "轙": [ - "ㄧ3" - ], - "轚": [ - "ㄐㄧ2" - ], - "轛": [ - "ㄓㄨㄟ4" - ], - "轜": [ - "ㄦ2" - ], - "轝": [ - "ㄩ4" - ], - "轞": [ - "ㄐㄧㄢ4" - ], - "轟": [ - "ㄏㄨㄥ1" - ], - "轠": [ - "ㄌㄟ2" - ], - "轡": [ - "ㄆㄟ4" - ], - "轢": [ - "ㄌㄧ4" - ], - "轣": [ - "ㄌㄧ4" - ], - "轤": [ - "ㄌㄨ2" - ], - "轥": [ - "ㄌㄧㄣ4" - ], - "车": [ - "ㄔㄜ1", - "ㄐㄩ1" - ], - "轧": [ - "ㄧㄚ4", - "ㄓㄚ2", - "ㄍㄚ2" - ], - "轨": [ - "ㄍㄨㄟ3" - ], - "轩": [ - "ㄒㄩㄢ1" - ], - "轪": [ - "ㄉㄞ4" - ], - "轫": [ - "ㄖㄣ4" - ], - "转": [ - "ㄓㄨㄢ3", - "ㄓㄨㄢ4", - "ㄓㄨㄞ3" - ], - "轭": [ - "ㄜ4" - ], - "轮": [ - "ㄌㄨㄣ2" - ], - "软": [ - "ㄖㄨㄢ3" - ], - "轰": [ - "ㄏㄨㄥ1" - ], - "轱": [ - "ㄍㄨ1" - ], - "轲": [ - "ㄎㄜ1", - "ㄎㄜ3" - ], - "轳": [ - "ㄌㄨ2" - ], - "轴": [ - "ㄓㄡ2", - "ㄓㄡ4" - ], - "轵": [ - "ㄓ3" - ], - "轶": [ - "ㄧ4" - ], - "轷": [ - "ㄏㄨ1" - ], - "轸": [ - "ㄓㄣ3" - ], - "轹": [ - "ㄌㄧ4" - ], - "轺": [ - "ㄧㄠ2" - ], - "轻": [ - "ㄑㄧㄥ1" - ], - "轼": [ - "ㄕ4" - ], - "载": [ - "ㄗㄞ4", - "ㄗㄞ3" - ], - "轾": [ - "ㄓ4" - ], - "轿": [ - "ㄐㄧㄠ4" - ], - "辀": [ - "ㄓㄡ1" - ], - "辁": [ - "ㄑㄩㄢ2" - ], - "辂": [ - "ㄌㄨ4" - ], - "较": [ - "ㄐㄧㄠ4" - ], - "辄": [ - "ㄓㄜ2" - ], - "辅": [ - "ㄈㄨ3" - ], - "辆": [ - "ㄌㄧㄤ4" - ], - "辇": [ - "ㄋㄧㄢ3" - ], - "辈": [ - "ㄅㄟ4" - ], - "辉": [ - "ㄏㄨㄟ1" - ], - "辊": [ - "ㄍㄨㄣ3" - ], - "辋": [ - "ㄨㄤ3" - ], - "辌": [ - "ㄌㄧㄤ2" - ], - "辍": [ - "ㄔㄨㄛ4" - ], - "辎": [ - "ㄗ1" - ], - "辏": [ - "ㄘㄡ4" - ], - "辐": [ - "ㄈㄨ2" - ], - "辑": [ - "ㄐㄧ2" - ], - "辒": [ - "ㄨㄣ1" - ], - "输": [ - "ㄕㄨ1" - ], - "辔": [ - "ㄆㄟ4" - ], - "辕": [ - "ㄩㄢ2" - ], - "辖": [ - "ㄒㄧㄚ2" - ], - "辗": [ - "ㄋㄧㄢ3", - "ㄓㄢ3" - ], - "辘": [ - "ㄌㄨ4" - ], - "辙": [ - "ㄓㄜ2" - ], - "辚": [ - "ㄌㄧㄣ2" - ], - "辛": [ - "ㄒㄧㄣ1" - ], - "辜": [ - "ㄍㄨ1" - ], - "辝": [ - "ㄘ2" - ], - "辞": [ - "ㄘ2" - ], - "辟": [ - "ㄆㄧ4", - "ㄅㄧ4", - "ㄇㄧ3", - "ㄆㄧ1" - ], - "辠": [ - "ㄗㄨㄟ4", - "ㄗㄨㄟ1" - ], - "辡": [ - "ㄅㄧㄢ4" - ], - "辢": [ - "ㄌㄚ4" - ], - "辣": [ - "ㄌㄚ4" - ], - "辤": [ - "ㄘ2" - ], - "辥": [ - "ㄒㄩㄝ1", - "ㄧ4" - ], - "辦": [ - "ㄅㄢ4" - ], - "辧": [ - "ㄅㄧㄢ4" - ], - "辨": [ - "ㄅㄧㄢ4", - "ㄅㄧㄢ3", - "ㄅㄢ4", - "ㄆㄧㄢ4" - ], - "辩": [ - "ㄅㄧㄢ4" - ], - "辪": [ - "ㄒㄩㄝ1" - ], - "辫": [ - "ㄅㄧㄢ4" - ], - "辬": [ - "ㄅㄢ1" - ], - "辭": [ - "ㄘ2" - ], - "辮": [ - "ㄅㄧㄢ4" - ], - "辯": [ - "ㄅㄧㄢ4", - "ㄆㄧㄢ2", - "ㄅㄧㄢ3", - "ㄅㄢ4" - ], - "辰": [ - "ㄔㄣ2" - ], - "辱": [ - "ㄖㄨ3" - ], - "農": [ - "ㄋㄨㄥ2" - ], - "辳": [ - "ㄋㄨㄥ2" - ], - "辴": [ - "ㄔㄢ3", - "ㄓㄣ3" - ], - "辵": [ - "ㄔㄨㄛ4" - ], - "辶": [ - "ㄔㄨㄛ4" - ], - "辷": [ - "ㄧ1" - ], - "辸": [ - "ㄖㄥ2" - ], - "边": [ - "ㄅㄧㄢ1", - "ㄅㄧㄢ5" - ], - "辺": [ - "ㄅㄧㄢ1" - ], - "辻": [ - "ㄕ2" - ], - "込": [ - "ㄩ1" - ], - "辽": [ - "ㄌㄧㄠ2" - ], - "达": [ - "ㄉㄚ2", - "ㄊㄧ4", - "ㄊㄚ4" - ], - "辿": [ - "ㄔㄢ1", - "ㄔㄢ2" - ], - "迀": [ - "ㄍㄢ1" - ], - "迁": [ - "ㄑㄧㄢ1" - ], - "迂": [ - "ㄩ1" - ], - "迃": [ - "ㄩ1" - ], - "迄": [ - "ㄑㄧ4" - ], - "迅": [ - "ㄒㄩㄣ4" - ], - "迆": [ - "ㄧ2", - "ㄧ3", - "ㄊㄨㄛ2" - ], - "过": [ - "ㄍㄨㄛ4", - "ㄍㄨㄛ1" - ], - "迈": [ - "ㄇㄞ4" - ], - "迉": [ - "ㄑㄧ1" - ], - "迊": [ - "ㄗㄚ1" - ], - "迋": [ - "ㄨㄤ4", - "ㄍㄨㄤ4", - "ㄎㄨㄤ2" - ], - "迌": [ - "ㄊㄨ4" - ], - "迍": [ - "ㄓㄨㄣ1" - ], - "迎": [ - "ㄧㄥ2", - "ㄧㄥ4" - ], - "迏": [ - "ㄉㄚ2" - ], - "运": [ - "ㄩㄣ4", - "ㄩㄣ3" - ], - "近": [ - "ㄐㄧㄣ4" - ], - "迒": [ - "ㄏㄤ2", - "ㄒㄧㄤ2" - ], - "迓": [ - "ㄧㄚ4" - ], - "返": [ - "ㄈㄢ3" - ], - "迕": [ - "ㄨ4", - "ㄨ3" - ], - "迖": [ - "ㄉㄚ2" - ], - "迗": [ - "ㄜ2" - ], - "还": [ - "ㄏㄞ2", - "ㄏㄨㄢ2", - "ㄈㄨ2" - ], - "这": [ - "ㄓㄜ4", - "ㄓㄟ4" - ], - "迚": [ - "ㄉㄚ2" - ], - "进": [ - "ㄐㄧㄣ4" - ], - "远": [ - "ㄩㄢ3" - ], - "违": [ - "ㄨㄟ2" - ], - "连": [ - "ㄌㄧㄢ2" - ], - "迟": [ - "ㄔ2" - ], - "迠": [ - "ㄔㄜ4" - ], - "迡": [ - "ㄋㄧ4", - "ㄔ2" - ], - "迢": [ - "ㄊㄧㄠ2" - ], - "迣": [ - "ㄓ4", - "ㄔ4" - ], - "迤": [ - "ㄧ2", - "ㄧ3", - "ㄊㄨㄛ2" - ], - "迥": [ - "ㄐㄩㄥ3" - ], - "迦": [ - "ㄐㄧㄚ1", - "ㄒㄧㄝ4" - ], - "迧": [ - "ㄔㄣ2" - ], - "迨": [ - "ㄉㄞ4" - ], - "迩": [ - "ㄦ3" - ], - "迪": [ - "ㄉㄧ2" - ], - "迫": [ - "ㄆㄛ4", - "ㄆㄞ3" - ], - "迬": [ - "ㄓㄨ4", - "ㄨㄤ3" - ], - "迭": [ - "ㄉㄧㄝ2", - "ㄧ4", - "ㄉㄚ2" - ], - "迮": [ - "ㄗㄜ2", - "ㄗㄨㄛ4" - ], - "迯": [ - "ㄊㄠ2" - ], - "述": [ - "ㄕㄨ4" - ], - "迱": [ - "ㄊㄨㄛ2", - "ㄧ2" - ], - "迲": [ - "ㄑㄩ5" - ], - "迳": [ - "ㄐㄧㄥ4" - ], - "迴": [ - "ㄏㄨㄟ2" - ], - "迵": [ - "ㄉㄨㄥ4" - ], - "迶": [ - "ㄧㄡ4" - ], - "迷": [ - "ㄇㄧ2", - "ㄇㄧ4" - ], - "迸": [ - "ㄅㄥ4" - ], - "迹": [ - "ㄐㄧ4", - "ㄐㄧ1" - ], - "迺": [ - "ㄋㄞ3" - ], - "迻": [ - "ㄧ2" - ], - "迼": [ - "ㄐㄧㄝ2" - ], - "追": [ - "ㄓㄨㄟ1", - "ㄉㄨㄟ1", - "ㄊㄨㄟ1" - ], - "迾": [ - "ㄌㄧㄝ4" - ], - "迿": [ - "ㄒㄩㄣ4" - ], - "退": [ - "ㄊㄨㄟ4" - ], - "送": [ - "ㄙㄨㄥ4" - ], - "适": [ - "ㄕ4", - "ㄎㄨㄛ4" - ], - "逃": [ - "ㄊㄠ2" - ], - "逄": [ - "ㄆㄤ2", - "ㄈㄥ2" - ], - "逅": [ - "ㄏㄡ4" - ], - "逆": [ - "ㄋㄧ4" - ], - "逇": [ - "ㄉㄨㄣ4" - ], - "逈": [ - "ㄐㄩㄥ3" - ], - "选": [ - "ㄒㄩㄢ3" - ], - "逊": [ - "ㄒㄩㄣ4" - ], - "逋": [ - "ㄅㄨ1" - ], - "逌": [ - "ㄧㄡ1", - "ㄧㄡ2" - ], - "逍": [ - "ㄒㄧㄠ1" - ], - "逎": [ - "ㄑㄧㄡ2" - ], - "透": [ - "ㄊㄡ4", - "ㄕㄨ1" - ], - "逐": [ - "ㄓㄨ2", - "ㄉㄧ2", - "ㄓㄡ4", - "ㄊㄨㄣ2" - ], - "逑": [ - "ㄑㄧㄡ2" - ], - "递": [ - "ㄉㄧ4" - ], - "逓": [ - "ㄉㄧ4" - ], - "途": [ - "ㄊㄨ2" - ], - "逕": [ - "ㄐㄧㄥ4" - ], - "逖": [ - "ㄊㄧ4" - ], - "逗": [ - "ㄉㄡ4", - "ㄓㄨ4", - "ㄊㄡ2", - "ㄑㄧ2" - ], - "逘": [ - "ㄧ3", - "ㄙ4" - ], - "這": [ - "ㄓㄜ4", - "ㄧㄢ4", - "ㄓㄟ4" - ], - "通": [ - "ㄊㄨㄥ1", - "ㄊㄨㄥ4" - ], - "逛": [ - "ㄍㄨㄤ4", - "ㄎㄨㄤ2" - ], - "逜": [ - "ㄨ4", - "ㄨ3" - ], - "逝": [ - "ㄕ4" - ], - "逞": [ - "ㄔㄥ3", - "ㄧㄥ2" - ], - "速": [ - "ㄙㄨ4" - ], - "造": [ - "ㄗㄠ4", - "ㄘㄠ4", - "ㄘㄠ1" - ], - "逡": [ - "ㄑㄩㄣ1", - "ㄒㄩㄣ4", - "ㄙㄨㄛ1" - ], - "逢": [ - "ㄈㄥ2", - "ㄆㄥ2", - "ㄆㄤ2" - ], - "連": [ - "ㄌㄧㄢ2", - "ㄌㄧㄢ3", - "ㄌㄧㄢ4", - "ㄌㄢ4" - ], - "逤": [ - "ㄙㄨㄛ4" - ], - "逥": [ - "ㄏㄨㄟ2" - ], - "逦": [ - "ㄌㄧ3" - ], - "逧": [ - "ㄍㄨ3" - ], - "逨": [ - "ㄌㄞ2", - "ㄌㄞ4" - ], - "逩": [ - "ㄅㄣ4", - "ㄅㄣ1" - ], - "逪": [ - "ㄘㄨㄛ4" - ], - "逫": [ - "ㄐㄩㄝ2", - "ㄓㄨ2" - ], - "逬": [ - "ㄅㄥ4", - "ㄆㄥ1" - ], - "逭": [ - "ㄏㄨㄢ4" - ], - "逮": [ - "ㄉㄞ3", - "ㄉㄞ4", - "ㄉㄧ4" - ], - "逯": [ - "ㄌㄨ4", - "ㄉㄞ4" - ], - "逰": [ - "ㄧㄡ2" - ], - "週": [ - "ㄓㄡ1" - ], - "進": [ - "ㄐㄧㄣ4" - ], - "逳": [ - "ㄩ4" - ], - "逴": [ - "ㄔㄨㄛ1", - "ㄔㄨㄛ4" - ], - "逵": [ - "ㄎㄨㄟ2", - "ㄎㄨㄟ3" - ], - "逶": [ - "ㄨㄟ1" - ], - "逷": [ - "ㄊㄧ4" - ], - "逸": [ - "ㄧ4" - ], - "逹": [ - "ㄉㄚ2" - ], - "逺": [ - "ㄩㄢ3" - ], - "逻": [ - "ㄌㄨㄛ2" - ], - "逼": [ - "ㄅㄧ1" - ], - "逽": [ - "ㄋㄨㄛ4" - ], - "逾": [ - "ㄩ2", - "ㄉㄡ4" - ], - "逿": [ - "ㄉㄤ4", - "ㄊㄤ2" - ], - "遀": [ - "ㄙㄨㄟ2" - ], - "遁": [ - "ㄉㄨㄣ4", - "ㄑㄩㄣ1", - "ㄒㄩㄣ2" - ], - "遂": [ - "ㄙㄨㄟ4", - "ㄙㄨㄟ2" - ], - "遃": [ - "ㄧㄢ3", - "ㄢ4" - ], - "遄": [ - "ㄔㄨㄢ2" - ], - "遅": [ - "ㄔ2" - ], - "遆": [ - "ㄊㄧ2" - ], - "遇": [ - "ㄩ4", - "ㄩㄥ2", - "ㄡ3" - ], - "遈": [ - "ㄕ2" - ], - "遉": [ - "ㄓㄣ1" - ], - "遊": [ - "ㄧㄡ2" - ], - "運": [ - "ㄩㄣ4" - ], - "遌": [ - "ㄜ4" - ], - "遍": [ - "ㄅㄧㄢ4" - ], - "過": [ - "ㄍㄨㄛ4", - "ㄍㄨㄛ1", - "ㄍㄨㄛ5", - "ㄏㄨㄛ4" - ], - "遏": [ - "ㄜ4" - ], - "遐": [ - "ㄒㄧㄚ2" - ], - "遑": [ - "ㄏㄨㄤ2" - ], - "遒": [ - "ㄑㄧㄡ2", - "ㄑㄧㄡ1" - ], - "道": [ - "ㄉㄠ4", - "ㄉㄠ3" - ], - "達": [ - "ㄉㄚ2", - "ㄊㄚ4" - ], - "違": [ - "ㄨㄟ2", - "ㄏㄨㄟ2" - ], - "遖": [ - "ㄋㄢ2" - ], - "遗": [ - "ㄧ2", - "ㄨㄟ4" - ], - "遘": [ - "ㄍㄡ4" - ], - "遙": [ - "ㄧㄠ2" - ], - "遚": [ - "ㄔㄡ4" - ], - "遛": [ - "ㄌㄧㄡ2", - "ㄌㄧㄡ4" - ], - "遜": [ - "ㄒㄩㄣ4" - ], - "遝": [ - "ㄊㄚ4" - ], - "遞": [ - "ㄉㄧ4", - "ㄕ4", - "ㄉㄞ4" - ], - "遟": [ - "ㄔ2", - "ㄓ4", - "ㄒㄧ1" - ], - "遠": [ - "ㄩㄢ3", - "ㄩㄢ4" - ], - "遡": [ - "ㄙㄨ4" - ], - "遢": [ - "ㄊㄚ4", - "ㄊㄚ1" - ], - "遣": [ - "ㄑㄧㄢ3", - "ㄑㄧㄢ4" - ], - "遤": [ - "ㄇㄚ3" - ], - "遥": [ - "ㄧㄠ2" - ], - "遦": [ - "ㄍㄨㄢ4" - ], - "遧": [ - "ㄓㄤ1" - ], - "遨": [ - "ㄠ2" - ], - "適": [ - "ㄕ4", - "ㄉㄧ2", - "ㄊㄧ4", - "ㄓㄜ2" - ], - "遪": [ - "ㄘㄚ4" - ], - "遫": [ - "ㄔ4" - ], - "遬": [ - "ㄙㄨ4" - ], - "遭": [ - "ㄗㄠ1" - ], - "遮": [ - "ㄓㄜ1" - ], - "遯": [ - "ㄉㄨㄣ4" - ], - "遰": [ - "ㄉㄧ4", - "ㄕ4", - "ㄉㄞ4" - ], - "遱": [ - "ㄌㄡ2" - ], - "遲": [ - "ㄔ2", - "ㄓ4" - ], - "遳": [ - "ㄘㄨㄛ1" - ], - "遴": [ - "ㄌㄧㄣ2", - "ㄌㄧㄣ4" - ], - "遵": [ - "ㄗㄨㄣ1" - ], - "遶": [ - "ㄖㄠ4" - ], - "遷": [ - "ㄑㄧㄢ1" - ], - "選": [ - "ㄒㄩㄢ3", - "ㄒㄩㄢ4", - "ㄙㄨㄢ4", - "ㄕㄨㄚ1" - ], - "遹": [ - "ㄩ4" - ], - "遺": [ - "ㄧ2", - "ㄨㄟ4", - "ㄙㄨㄟ2" - ], - "遻": [ - "ㄜ4" - ], - "遼": [ - "ㄌㄧㄠ2" - ], - "遽": [ - "ㄐㄩ4", - "ㄑㄩ2" - ], - "遾": [ - "ㄕ4" - ], - "避": [ - "ㄅㄧ4" - ], - "邀": [ - "ㄧㄠ1" - ], - "邁": [ - "ㄇㄞ4" - ], - "邂": [ - "ㄒㄧㄝ4" - ], - "邃": [ - "ㄙㄨㄟ4" - ], - "還": [ - "ㄏㄞ2", - "ㄏㄨㄢ2", - "ㄒㄩㄢ2" - ], - "邅": [ - "ㄓㄢ1", - "ㄓㄢ4" - ], - "邆": [ - "ㄊㄥ2" - ], - "邇": [ - "ㄦ3" - ], - "邈": [ - "ㄇㄧㄠ3", - "ㄇㄧㄠ2" - ], - "邉": [ - "ㄅㄧㄢ1" - ], - "邊": [ - "ㄅㄧㄢ1" - ], - "邋": [ - "ㄌㄚ1", - "ㄌㄧㄝ4" - ], - "邌": [ - "ㄌㄧ2", - "ㄔ2" - ], - "邍": [ - "ㄩㄢ2" - ], - "邎": [ - "ㄧㄠ2" - ], - "邏": [ - "ㄌㄨㄛ2", - "ㄌㄨㄛ4" - ], - "邐": [ - "ㄌㄧ3" - ], - "邑": [ - "ㄧ4", - "ㄜ4" - ], - "邒": [ - "ㄊㄧㄥ2" - ], - "邓": [ - "ㄉㄥ4", - "ㄕㄢ1" - ], - "邔": [ - "ㄑㄧ3" - ], - "邕": [ - "ㄩㄥ1", - "ㄩㄥ3" - ], - "邖": [ - "ㄕㄢ1" - ], - "邗": [ - "ㄏㄢ2" - ], - "邘": [ - "ㄩ2" - ], - "邙": [ - "ㄇㄤ2" - ], - "邚": [ - "ㄖㄨ2", - "ㄈㄨ4" - ], - "邛": [ - "ㄑㄩㄥ2" - ], - "邜": [ - "ㄒㄧ1" - ], - "邝": [ - "ㄎㄨㄤ4" - ], - "邞": [ - "ㄈㄨ1" - ], - "邟": [ - "ㄎㄤ4", - "ㄏㄤ2", - "ㄎㄤ1" - ], - "邠": [ - "ㄅㄧㄣ1" - ], - "邡": [ - "ㄈㄤ1", - "ㄈㄤ4" - ], - "邢": [ - "ㄒㄧㄥ2", - "ㄍㄥ3" - ], - "那": [ - "ㄋㄚ4", - "ㄋㄚ1", - "ㄋㄨㄛ2", - "ㄋㄨㄛ4", - "ㄋㄟ4", - "ㄋㄚ3", - "ㄋㄟ3", - "ㄋㄜ2", - "ㄋㄞ3", - "ㄋㄜ4" - ], - "邤": [ - "ㄒㄧㄣ1" - ], - "邥": [ - "ㄕㄣ3" - ], - "邦": [ - "ㄅㄤ1" - ], - "邧": [ - "ㄩㄢ2" - ], - "邨": [ - "ㄘㄨㄣ1" - ], - "邩": [ - "ㄏㄨㄛ3" - ], - "邪": [ - "ㄒㄧㄝ2", - "ㄧㄚ2", - "ㄧㄝ2", - "ㄒㄩ2", - "ㄕㄜ2" - ], - "邫": [ - "ㄅㄤ1" - ], - "邬": [ - "ㄨ1" - ], - "邭": [ - "ㄐㄩ4" - ], - "邮": [ - "ㄧㄡ2" - ], - "邯": [ - "ㄏㄢ2", - "ㄏㄢ4" - ], - "邰": [ - "ㄊㄞ2" - ], - "邱": [ - "ㄑㄧㄡ1" - ], - "邲": [ - "ㄅㄧ4", - "ㄅㄧㄢ4" - ], - "邳": [ - "ㄆㄧ1" - ], - "邴": [ - "ㄅㄧㄥ3" - ], - "邵": [ - "ㄕㄠ4" - ], - "邶": [ - "ㄅㄟ4" - ], - "邷": [ - "ㄨㄚ3" - ], - "邸": [ - "ㄉㄧ3" - ], - "邹": [ - "ㄗㄡ1" - ], - "邺": [ - "ㄧㄝ4", - "ㄑㄧㄡ1" - ], - "邻": [ - "ㄌㄧㄣ2" - ], - "邼": [ - "ㄎㄨㄤ1" - ], - "邽": [ - "ㄍㄨㄟ1" - ], - "邾": [ - "ㄓㄨ1" - ], - "邿": [ - "ㄕ1" - ], - "郀": [ - "ㄎㄨ1" - ], - "郁": [ - "ㄩ4" - ], - "郂": [ - "ㄍㄞ1", - "ㄏㄞ2" - ], - "郃": [ - "ㄏㄜ2", - "ㄒㄧㄚ2" - ], - "郄": [ - "ㄑㄧㄝ4", - "ㄒㄧ4" - ], - "郅": [ - "ㄓ4", - "ㄐㄧ2" - ], - "郆": [ - "ㄐㄧ2" - ], - "郇": [ - "ㄏㄨㄢ2", - "ㄒㄩㄣ2" - ], - "郈": [ - "ㄏㄡ4" - ], - "郉": [ - "ㄒㄧㄥ2" - ], - "郊": [ - "ㄐㄧㄠ1" - ], - "郋": [ - "ㄒㄧ2" - ], - "郌": [ - "ㄍㄨㄟ1" - ], - "郍": [ - "ㄋㄨㄛ2", - "ㄋㄚ3", - "ㄈㄨ2" - ], - "郎": [ - "ㄌㄤ2", - "ㄌㄤ4" - ], - "郏": [ - "ㄐㄧㄚ2" - ], - "郐": [ - "ㄎㄨㄞ4" - ], - "郑": [ - "ㄓㄥ4" - ], - "郒": [ - "ㄌㄤ2" - ], - "郓": [ - "ㄩㄣ4" - ], - "郔": [ - "ㄧㄢ2" - ], - "郕": [ - "ㄔㄥ2" - ], - "郖": [ - "ㄉㄡ4" - ], - "郗": [ - "ㄒㄧ1", - "ㄔ1" - ], - "郘": [ - "ㄌㄩ3" - ], - "郙": [ - "ㄈㄨ3" - ], - "郚": [ - "ㄨ2", - "ㄩ2" - ], - "郛": [ - "ㄈㄨ2" - ], - "郜": [ - "ㄍㄠ4" - ], - "郝": [ - "ㄏㄠ3", - "ㄕ4" - ], - "郞": [ - "ㄌㄤ2" - ], - "郟": [ - "ㄐㄧㄚ2" - ], - "郠": [ - "ㄍㄥ3" - ], - "郡": [ - "ㄐㄩㄣ4" - ], - "郢": [ - "ㄧㄥ3", - "ㄔㄥ2" - ], - "郣": [ - "ㄅㄛ2" - ], - "郤": [ - "ㄒㄧ4" - ], - "郥": [ - "ㄅㄟ4" - ], - "郦": [ - "ㄌㄧ4" - ], - "郧": [ - "ㄩㄣ2" - ], - "部": [ - "ㄅㄨ4", - "ㄆㄡ3" - ], - "郩": [ - "ㄒㄧㄠ2", - "ㄠ3" - ], - "郪": [ - "ㄑㄧ1" - ], - "郫": [ - "ㄆㄧ2" - ], - "郬": [ - "ㄑㄧㄥ1" - ], - "郭": [ - "ㄍㄨㄛ1", - "ㄍㄨㄛ2" - ], - "郮": [ - "ㄓㄡ1" - ], - "郯": [ - "ㄊㄢ2" - ], - "郰": [ - "ㄗㄡ1", - "ㄐㄩ3" - ], - "郱": [ - "ㄆㄧㄥ2" - ], - "郲": [ - "ㄌㄞ2", - "ㄌㄟ3" - ], - "郳": [ - "ㄋㄧ2" - ], - "郴": [ - "ㄔㄣ1", - "ㄌㄢ2" - ], - "郵": [ - "ㄧㄡ2", - "ㄔㄨㄟ2" - ], - "郶": [ - "ㄅㄨ4" - ], - "郷": [ - "ㄒㄧㄤ1" - ], - "郸": [ - "ㄉㄢ1" - ], - "郹": [ - "ㄐㄩ2" - ], - "郺": [ - "ㄩㄥ1" - ], - "郻": [ - "ㄑㄧㄠ1" - ], - "郼": [ - "ㄧ1" - ], - "都": [ - "ㄉㄡ1", - "ㄉㄨ1" - ], - "郾": [ - "ㄧㄢ3", - "ㄧㄢ1" - ], - "郿": [ - "ㄇㄟ2" - ], - "鄀": [ - "ㄖㄨㄛ4" - ], - "鄁": [ - "ㄅㄟ4" - ], - "鄂": [ - "ㄜ4" - ], - "鄃": [ - "ㄕㄨ1" - ], - "鄄": [ - "ㄐㄩㄢ4" - ], - "鄅": [ - "ㄩ3" - ], - "鄆": [ - "ㄩㄣ4" - ], - "鄇": [ - "ㄏㄡ2" - ], - "鄈": [ - "ㄎㄨㄟ2" - ], - "鄉": [ - "ㄒㄧㄤ1", - "ㄒㄧㄤ3", - "ㄒㄧㄤ4" - ], - "鄊": [ - "ㄒㄧㄤ1" - ], - "鄋": [ - "ㄙㄡ1" - ], - "鄌": [ - "ㄊㄤ2" - ], - "鄍": [ - "ㄇㄧㄥ2" - ], - "鄎": [ - "ㄒㄧ1" - ], - "鄏": [ - "ㄖㄨ3" - ], - "鄐": [ - "ㄔㄨ4" - ], - "鄑": [ - "ㄗ1" - ], - "鄒": [ - "ㄗㄡ1", - "ㄐㄩ4" - ], - "鄓": [ - "ㄧㄝ4" - ], - "鄔": [ - "ㄨ1" - ], - "鄕": [ - "ㄒㄧㄤ1" - ], - "鄖": [ - "ㄩㄣ2" - ], - "鄗": [ - "ㄏㄠ4", - "ㄑㄧㄠ1", - "ㄐㄧㄠ1" - ], - "鄘": [ - "ㄩㄥ1" - ], - "鄙": [ - "ㄅㄧ3" - ], - "鄚": [ - "ㄇㄠ4", - "ㄇㄛ4" - ], - "鄛": [ - "ㄔㄠ2" - ], - "鄜": [ - "ㄈㄨ1", - "ㄌㄨ4" - ], - "鄝": [ - "ㄌㄧㄠ3" - ], - "鄞": [ - "ㄧㄣ2" - ], - "鄟": [ - "ㄓㄨㄢ1" - ], - "鄠": [ - "ㄏㄨ4" - ], - "鄡": [ - "ㄑㄧㄠ1" - ], - "鄢": [ - "ㄧㄢ1" - ], - "鄣": [ - "ㄓㄤ1", - "ㄓㄤ4" - ], - "鄤": [ - "ㄇㄢ4", - "ㄨㄢ4" - ], - "鄥": [ - "ㄑㄧㄠ1" - ], - "鄦": [ - "ㄒㄩ3" - ], - "鄧": [ - "ㄉㄥ4" - ], - "鄨": [ - "ㄅㄧ4" - ], - "鄩": [ - "ㄒㄩㄣ2" - ], - "鄪": [ - "ㄅㄧ4" - ], - "鄫": [ - "ㄗㄥ1", - "ㄘㄥ2" - ], - "鄬": [ - "ㄨㄟ2" - ], - "鄭": [ - "ㄓㄥ4" - ], - "鄮": [ - "ㄇㄠ4" - ], - "鄯": [ - "ㄕㄢ4" - ], - "鄰": [ - "ㄌㄧㄣ2", - "ㄌㄧㄣ4" - ], - "鄱": [ - "ㄆㄛ2", - "ㄆㄧ2", - "ㄆㄢ2" - ], - "鄲": [ - "ㄉㄢ1", - "ㄉㄨㄛ1" - ], - "鄳": [ - "ㄇㄥ2" - ], - "鄴": [ - "ㄧㄝ4" - ], - "鄵": [ - "ㄘㄠ4", - "ㄙㄠ1" - ], - "鄶": [ - "ㄎㄨㄞ4" - ], - "鄷": [ - "ㄈㄥ1" - ], - "鄸": [ - "ㄇㄥ2" - ], - "鄹": [ - "ㄗㄡ1", - "ㄐㄩ4" - ], - "鄺": [ - "ㄎㄨㄤ4", - "ㄎㄨㄛ4" - ], - "鄻": [ - "ㄌㄧㄢ3" - ], - "鄼": [ - "ㄗㄢ4" - ], - "鄽": [ - "ㄔㄢ2" - ], - "鄾": [ - "ㄧㄡ1" - ], - "鄿": [ - "ㄐㄧ1", - "ㄑㄧ2" - ], - "酀": [ - "ㄧㄢ4", - "ㄧㄢ3" - ], - "酁": [ - "ㄔㄢ2" - ], - "酂": [ - "ㄘㄨㄛ2", - "ㄗㄢ4" - ], - "酃": [ - "ㄌㄧㄥ2" - ], - "酄": [ - "ㄏㄨㄢ1", - "ㄑㄩㄢ1" - ], - "酅": [ - "ㄒㄧ1" - ], - "酆": [ - "ㄈㄥ1" - ], - "酇": [ - "ㄗㄢ4", - "ㄘㄨㄛ2" - ], - "酈": [ - "ㄌㄧ4", - "ㄌㄧ2", - "ㄓ2" - ], - "酉": [ - "ㄧㄡ3" - ], - "酊": [ - "ㄉㄧㄥ1", - "ㄉㄧㄥ3" - ], - "酋": [ - "ㄑㄧㄡ2" - ], - "酌": [ - "ㄓㄨㄛ2" - ], - "配": [ - "ㄆㄟ4" - ], - "酎": [ - "ㄓㄡ4" - ], - "酏": [ - "ㄧ3", - "ㄧ2" - ], - "酐": [ - "ㄍㄢ1", - "ㄏㄤ4" - ], - "酑": [ - "ㄩ2" - ], - "酒": [ - "ㄐㄧㄡ3" - ], - "酓": [ - "ㄧㄢ3", - "ㄧㄢ4", - "ㄧㄣ3" - ], - "酔": [ - "ㄗㄨㄟ4" - ], - "酕": [ - "ㄇㄠ2" - ], - "酖": [ - "ㄓㄣ4", - "ㄉㄢ1" - ], - "酗": [ - "ㄒㄩ4" - ], - "酘": [ - "ㄉㄡ4" - ], - "酙": [ - "ㄓㄣ1" - ], - "酚": [ - "ㄈㄣ1" - ], - "酛": [ - "ㄩㄢ2" - ], - "酜": [ - "ㄈㄨ5" - ], - "酝": [ - "ㄩㄣ4" - ], - "酞": [ - "ㄊㄞ4" - ], - "酟": [ - "ㄊㄧㄢ1" - ], - "酠": [ - "ㄑㄧㄚ3" - ], - "酡": [ - "ㄊㄨㄛ2", - "ㄉㄨㄛ4" - ], - "酢": [ - "ㄘㄨ4", - "ㄗㄨㄛ4" - ], - "酣": [ - "ㄏㄢ1", - "ㄏㄢ4" - ], - "酤": [ - "ㄍㄨ1" - ], - "酥": [ - "ㄙㄨ1" - ], - "酦": [ - "ㄆㄛ4", - "ㄆㄛ1", - "ㄈㄚ1" - ], - "酧": [ - "ㄔㄡ2" - ], - "酨": [ - "ㄗㄞ4", - "ㄗㄨㄟ4" - ], - "酩": [ - "ㄇㄧㄥ3" - ], - "酪": [ - "ㄌㄠ4", - "ㄌㄨㄛ4", - "ㄌㄨ4" - ], - "酫": [ - "ㄔㄨㄛ4" - ], - "酬": [ - "ㄔㄡ2" - ], - "酭": [ - "ㄧㄡ4" - ], - "酮": [ - "ㄊㄨㄥ2", - "ㄉㄨㄥ4", - "ㄔㄨㄥ2" - ], - "酯": [ - "ㄓ3" - ], - "酰": [ - "ㄒㄧㄢ1" - ], - "酱": [ - "ㄐㄧㄤ4" - ], - "酲": [ - "ㄔㄥ2" - ], - "酳": [ - "ㄧㄣ4" - ], - "酴": [ - "ㄊㄨ2" - ], - "酵": [ - "ㄐㄧㄠ4" - ], - "酶": [ - "ㄇㄟ2" - ], - "酷": [ - "ㄎㄨ4" - ], - "酸": [ - "ㄙㄨㄢ1" - ], - "酹": [ - "ㄌㄟ4" - ], - "酺": [ - "ㄆㄨ2" - ], - "酻": [ - "ㄗㄨㄟ4", - "ㄈㄨ2" - ], - "酼": [ - "ㄏㄞ3" - ], - "酽": [ - "ㄧㄢ4" - ], - "酾": [ - "ㄕㄞ1", - "ㄕ1" - ], - "酿": [ - "ㄋㄧㄤ4", - "ㄋㄧㄤ2" - ], - "醀": [ - "ㄨㄟ2", - "ㄓㄨㄟ4" - ], - "醁": [ - "ㄌㄨ4" - ], - "醂": [ - "ㄌㄢ3" - ], - "醃": [ - "ㄧㄢ1", - "ㄤ1" - ], - "醄": [ - "ㄊㄠ2" - ], - "醅": [ - "ㄆㄟ1" - ], - "醆": [ - "ㄓㄢ3" - ], - "醇": [ - "ㄔㄨㄣ2" - ], - "醈": [ - "ㄊㄢ2", - "ㄉㄢ4" - ], - "醉": [ - "ㄗㄨㄟ4" - ], - "醊": [ - "ㄓㄨㄟ4" - ], - "醋": [ - "ㄘㄨ4", - "ㄗㄨㄛ4" - ], - "醌": [ - "ㄎㄨㄣ1" - ], - "醍": [ - "ㄊㄧ2", - "ㄊㄧ3" - ], - "醎": [ - "ㄒㄧㄢ2", - "ㄐㄧㄢ3" - ], - "醏": [ - "ㄉㄨ1" - ], - "醐": [ - "ㄏㄨ2" - ], - "醑": [ - "ㄒㄩ3" - ], - "醒": [ - "ㄒㄧㄥ3", - "ㄔㄥ2", - "ㄐㄧㄥ1" - ], - "醓": [ - "ㄊㄢ3" - ], - "醔": [ - "ㄑㄧㄡ2", - "ㄔㄡ1" - ], - "醕": [ - "ㄔㄨㄣ2" - ], - "醖": [ - "ㄩㄣ4" - ], - "醗": [ - "ㄆㄛ4" - ], - "醘": [ - "ㄎㄜ1" - ], - "醙": [ - "ㄙㄡ1" - ], - "醚": [ - "ㄇㄧ2" - ], - "醛": [ - "ㄑㄩㄢ2", - "ㄔㄨㄛ4" - ], - "醜": [ - "ㄔㄡ3" - ], - "醝": [ - "ㄘㄨㄛ1", - "ㄘㄨㄛ3" - ], - "醞": [ - "ㄩㄣ4" - ], - "醟": [ - "ㄩㄥ4" - ], - "醠": [ - "ㄤ4" - ], - "醡": [ - "ㄓㄚ4" - ], - "醢": [ - "ㄏㄞ3" - ], - "醣": [ - "ㄊㄤ2" - ], - "醤": [ - "ㄐㄧㄤ4" - ], - "醥": [ - "ㄆㄧㄠ3" - ], - "醦": [ - "ㄔㄣ3", - "ㄔㄢ3" - ], - "醧": [ - "ㄩ4", - "ㄡ1" - ], - "醨": [ - "ㄌㄧ2" - ], - "醩": [ - "ㄗㄠ1" - ], - "醪": [ - "ㄌㄠ2" - ], - "醫": [ - "ㄧ1", - "ㄧ3" - ], - "醬": [ - "ㄐㄧㄤ4" - ], - "醭": [ - "ㄅㄨ2" - ], - "醮": [ - "ㄐㄧㄠ4", - "ㄑㄧㄠ2", - "ㄓㄢ4" - ], - "醯": [ - "ㄒㄧ1" - ], - "醰": [ - "ㄊㄢ2" - ], - "醱": [ - "ㄈㄚ1", - "ㄆㄛ4", - "ㄆㄛ1" - ], - "醲": [ - "ㄋㄨㄥ2" - ], - "醳": [ - "ㄧ4", - "ㄕ4" - ], - "醴": [ - "ㄌㄧ3" - ], - "醵": [ - "ㄐㄩ4" - ], - "醶": [ - "ㄧㄢ4", - "ㄌㄧㄢ3", - "ㄒㄧㄢ1", - "ㄐㄧㄢ3" - ], - "醷": [ - "ㄧ4", - "ㄧ3", - "ㄞ4" - ], - "醸": [ - "ㄋㄧㄤ4" - ], - "醹": [ - "ㄖㄨ2" - ], - "醺": [ - "ㄒㄩㄣ1" - ], - "醻": [ - "ㄔㄡ2", - "ㄕㄡ4", - "ㄉㄠ4" - ], - "醼": [ - "ㄧㄢ4" - ], - "醽": [ - "ㄌㄧㄥ2" - ], - "醾": [ - "ㄇㄧ2" - ], - "醿": [ - "ㄇㄧ2" - ], - "釀": [ - "ㄋㄧㄤ4", - "ㄋㄧㄤ2" - ], - "釁": [ - "ㄒㄧㄣ4" - ], - "釂": [ - "ㄐㄧㄠ4" - ], - "釃": [ - "ㄕㄞ1", - "ㄕ1", - "ㄌㄧ2" - ], - "釄": [ - "ㄇㄧ2" - ], - "釅": [ - "ㄧㄢ4" - ], - "釆": [ - "ㄅㄧㄢ4", - "ㄅㄧㄢ3" - ], - "采": [ - "ㄘㄞ3", - "ㄘㄞ4" - ], - "釈": [ - "ㄕ4" - ], - "釉": [ - "ㄧㄡ4" - ], - "释": [ - "ㄕ4" - ], - "釋": [ - "ㄕ4", - "ㄧ4" - ], - "里": [ - "ㄌㄧ3", - "ㄌㄧ5" - ], - "重": [ - "ㄓㄨㄥ4", - "ㄔㄨㄥ2", - "ㄊㄨㄥ2" - ], - "野": [ - "ㄧㄝ3", - "ㄕㄨ4" - ], - "量": [ - "ㄌㄧㄤ4", - "ㄌㄧㄤ2" - ], - "釐": [ - "ㄌㄧ2", - "ㄒㄧ1", - "ㄌㄞ2", - "ㄊㄞ1", - "ㄌㄞ4", - "ㄒㄧ3" - ], - "金": [ - "ㄐㄧㄣ1", - "ㄐㄧㄣ4" - ], - "釒": [ - "ㄐㄧㄣ1" - ], - "釓": [ - "ㄑㄧㄡ2", - "ㄍㄚ2" - ], - "釔": [ - "ㄧ3" - ], - "釕": [ - "ㄌㄧㄠ3", - "ㄌㄧㄠ4" - ], - "釖": [ - "ㄉㄠ1" - ], - "釗": [ - "ㄓㄠ1" - ], - "釘": [ - "ㄉㄧㄥ1", - "ㄉㄧㄥ4", - "ㄌㄧㄥ2" - ], - "釙": [ - "ㄆㄛ4", - "ㄆㄛ1" - ], - "釚": [ - "ㄑㄧㄡ2" - ], - "釛": [ - "ㄅㄚ1" - ], - "釜": [ - "ㄈㄨ3" - ], - "針": [ - "ㄓㄣ1" - ], - "釞": [ - "ㄓ2" - ], - "釟": [ - "ㄅㄚ1" - ], - "釠": [ - "ㄌㄨㄢ4" - ], - "釡": [ - "ㄈㄨ3" - ], - "釢": [ - "ㄋㄞ3" - ], - "釣": [ - "ㄉㄧㄠ4" - ], - "釤": [ - "ㄕㄢ4", - "ㄕㄢ1", - "ㄒㄧㄢ1" - ], - "釥": [ - "ㄑㄧㄠ3", - "ㄐㄧㄠ3" - ], - "釦": [ - "ㄎㄡ4" - ], - "釧": [ - "ㄔㄨㄢ4", - "ㄔㄨㄢ1" - ], - "釨": [ - "ㄗ3" - ], - "釩": [ - "ㄈㄢ3", - "ㄈㄢ4", - "ㄈㄢ2" - ], - "釪": [ - "ㄏㄨㄚ2", - "ㄩ2" - ], - "釫": [ - "ㄏㄨㄚ2", - "ㄨ1" - ], - "釬": [ - "ㄏㄢ4", - "ㄍㄢ1" - ], - "釭": [ - "ㄍㄤ1", - "ㄍㄨㄥ1" - ], - "釮": [ - "ㄑㄧ2" - ], - "釯": [ - "ㄇㄤ2" - ], - "釰": [ - "ㄖ4", - "ㄖㄣ4", - "ㄐㄧㄢ4" - ], - "釱": [ - "ㄉㄧ4" - ], - "釲": [ - "ㄙ4" - ], - "釳": [ - "ㄒㄧ4" - ], - "釴": [ - "ㄧ4" - ], - "釵": [ - "ㄔㄞ1", - "ㄔㄚ1" - ], - "釶": [ - "ㄕ1", - "ㄧ2", - "ㄧㄝ3" - ], - "釷": [ - "ㄊㄨ3" - ], - "釸": [ - "ㄒㄧ1" - ], - "釹": [ - "ㄋㄩ3" - ], - "釺": [ - "ㄑㄧㄢ1" - ], - "釻": [ - "ㄑㄧㄡ2" - ], - "釼": [ - "ㄐㄧㄢ4" - ], - "釽": [ - "ㄆㄧ4", - "ㄆㄧ1", - "ㄓㄠ1" - ], - "釾": [ - "ㄧㄝ2", - "ㄧㄚ2" - ], - "釿": [ - "ㄐㄧㄣ1", - "ㄧㄣ3", - "ㄧㄣ2" - ], - "鈀": [ - "ㄅㄚ3", - "ㄅㄚ1", - "ㄆㄚ2" - ], - "鈁": [ - "ㄈㄤ1" - ], - "鈂": [ - "ㄔㄣ2", - "ㄑㄧㄣ2", - "ㄓㄣ4" - ], - "鈃": [ - "ㄒㄧㄥ2" - ], - "鈄": [ - "ㄉㄡ3" - ], - "鈅": [ - "ㄩㄝ4" - ], - "鈆": [ - "ㄑㄧㄢ1", - "ㄓㄨㄥ1" - ], - "鈇": [ - "ㄈㄨ1", - "ㄈㄨ3" - ], - "鈈": [ - "ㄆㄧ1", - "ㄅㄨ4" - ], - "鈉": [ - "ㄋㄚ4", - "ㄖㄨㄟ4" - ], - "鈊": [ - "ㄒㄧㄣ1", - "ㄑㄧㄣ4" - ], - "鈋": [ - "ㄜ2" - ], - "鈌": [ - "ㄐㄩㄝ2" - ], - "鈍": [ - "ㄉㄨㄣ4" - ], - "鈎": [ - "ㄍㄡ1" - ], - "鈏": [ - "ㄧㄣ3" - ], - "鈐": [ - "ㄑㄧㄢ2", - "ㄏㄢ2" - ], - "鈑": [ - "ㄅㄢ3" - ], - "鈒": [ - "ㄙㄚ4", - "ㄒㄧ4" - ], - "鈓": [ - "ㄖㄣ2" - ], - "鈔": [ - "ㄔㄠ1", - "ㄔㄠ3" - ], - "鈕": [ - "ㄋㄧㄡ3", - "ㄔㄡ3" - ], - "鈖": [ - "ㄈㄣ1" - ], - "鈗": [ - "ㄩㄣ3", - "ㄉㄨㄟ4" - ], - "鈘": [ - "ㄧ3" - ], - "鈙": [ - "ㄑㄧㄣ2" - ], - "鈚": [ - "ㄆㄧ1", - "ㄅㄧ1", - "ㄅㄧ3" - ], - "鈛": [ - "ㄍㄨㄛ1" - ], - "鈜": [ - "ㄏㄨㄥ2" - ], - "鈝": [ - "ㄧㄣ2" - ], - "鈞": [ - "ㄐㄩㄣ1" - ], - "鈟": [ - "ㄉㄧㄠ4" - ], - "鈠": [ - "ㄧ4" - ], - "鈡": [ - "ㄓㄨㄥ1" - ], - "鈢": [ - "ㄒㄧ3" - ], - "鈣": [ - "ㄍㄞ4" - ], - "鈤": [ - "ㄖ4" - ], - "鈥": [ - "ㄏㄨㄛ3" - ], - "鈦": [ - "ㄊㄞ4" - ], - "鈧": [ - "ㄎㄤ4" - ], - "鈨": [ - "ㄩㄢ2" - ], - "鈩": [ - "ㄌㄨ2" - ], - "鈪": [ - "ㄜ4" - ], - "鈫": [ - "ㄑㄧㄣ2" - ], - "鈬": [ - "ㄉㄨㄛ2" - ], - "鈭": [ - "ㄗ1" - ], - "鈮": [ - "ㄋㄧ3", - "ㄋㄧ2" - ], - "鈯": [ - "ㄊㄨ2" - ], - "鈰": [ - "ㄕ4" - ], - "鈱": [ - "ㄇㄧㄣ2", - "ㄇㄧㄣ3" - ], - "鈲": [ - "ㄍㄨ1", - "ㄆㄧ4" - ], - "鈳": [ - "ㄎㄜ1" - ], - "鈴": [ - "ㄌㄧㄥ2" - ], - "鈵": [ - "ㄅㄧㄥ3" - ], - "鈶": [ - "ㄙ4", - "ㄘ2", - "ㄊㄞ2" - ], - "鈷": [ - "ㄍㄨ3", - "ㄏㄨ2", - "ㄍㄨ4" - ], - "鈸": [ - "ㄅㄛ2" - ], - "鈹": [ - "ㄆㄧ1", - "ㄆㄧ2" - ], - "鈺": [ - "ㄩ4" - ], - "鈻": [ - "ㄙ4" - ], - "鈼": [ - "ㄗㄨㄛ2" - ], - "鈽": [ - "ㄅㄨ1" - ], - "鈾": [ - "ㄧㄡ2", - "ㄓㄡ4" - ], - "鈿": [ - "ㄊㄧㄢ2", - "ㄉㄧㄢ4" - ], - "鉀": [ - "ㄐㄧㄚ3", - "ㄍㄜ2" - ], - "鉁": [ - "ㄓㄣ1", - "ㄓㄣ4" - ], - "鉂": [ - "ㄕ3" - ], - "鉃": [ - "ㄕ4", - "ㄗㄨ2" - ], - "鉄": [ - "ㄓ2", - "ㄊㄧㄝ3" - ], - "鉅": [ - "ㄐㄩ4" - ], - "鉆": [ - "ㄔㄢ1", - "ㄑㄧㄢ2", - "ㄊㄧㄝ1" - ], - "鉇": [ - "ㄕ1", - "ㄧ2" - ], - "鉈": [ - "ㄕ1", - "ㄕㄜ2", - "ㄧ2", - "ㄊㄨㄛ2", - "ㄊㄚ1" - ], - "鉉": [ - "ㄒㄩㄢ4" - ], - "鉊": [ - "ㄓㄠ1" - ], - "鉋": [ - "ㄅㄠ4", - "ㄆㄠ2", - "ㄅㄠ2" - ], - "鉌": [ - "ㄏㄜ2" - ], - "鉍": [ - "ㄅㄧ4", - "ㄙㄜ4" - ], - "鉎": [ - "ㄕㄥ1" - ], - "鉏": [ - "ㄔㄨ2", - "ㄗㄨ1", - "ㄓㄨ4", - "ㄐㄩ3", - "ㄔㄚ2", - "ㄒㄩ2" - ], - "鉐": [ - "ㄕ2", - "ㄗㄨ2" - ], - "鉑": [ - "ㄅㄛ2" - ], - "鉒": [ - "ㄓㄨ4" - ], - "鉓": [ - "ㄔ4" - ], - "鉔": [ - "ㄗㄚ1" - ], - "鉕": [ - "ㄆㄛ1", - "ㄆㄛ3" - ], - "鉖": [ - "ㄊㄨㄥ2" - ], - "鉗": [ - "ㄑㄧㄢ2", - "ㄢ1" - ], - "鉘": [ - "ㄈㄨ2" - ], - "鉙": [ - "ㄓㄞ3" - ], - "鉚": [ - "ㄌㄧㄡ3", - "ㄇㄠ3" - ], - "鉛": [ - "ㄑㄧㄢ1", - "ㄧㄢ2" - ], - "鉜": [ - "ㄈㄨ2" - ], - "鉝": [ - "ㄌㄧ4" - ], - "鉞": [ - "ㄩㄝ4" - ], - "鉟": [ - "ㄆㄧ1" - ], - "鉠": [ - "ㄧㄤ1" - ], - "鉡": [ - "ㄅㄢ4" - ], - "鉢": [ - "ㄅㄛ1" - ], - "鉣": [ - "ㄐㄧㄝ2" - ], - "鉤": [ - "ㄍㄡ1", - "ㄍㄡ4", - "ㄑㄩ2" - ], - "鉥": [ - "ㄕㄨ4", - "ㄒㄩ4" - ], - "鉦": [ - "ㄓㄥ1" - ], - "鉧": [ - "ㄇㄨ3" - ], - "鉨": [ - "ㄒㄧ3", - "ㄋㄧ3", - "ㄋㄧㄝ3" - ], - "鉩": [ - "ㄒㄧ3", - "ㄋㄧㄝ4" - ], - "鉪": [ - "ㄉㄧ4" - ], - "鉫": [ - "ㄐㄧㄚ1" - ], - "鉬": [ - "ㄇㄨ4" - ], - "鉭": [ - "ㄊㄢ3" - ], - "鉮": [ - "ㄏㄨㄢ2", - "ㄕㄣ2", - "ㄕㄣ1" - ], - "鉯": [ - "ㄧ3" - ], - "鉰": [ - "ㄙ1" - ], - "鉱": [ - "ㄎㄨㄤ4" - ], - "鉲": [ - "ㄎㄚ3" - ], - "鉳": [ - "ㄅㄟ3" - ], - "鉴": [ - "ㄐㄧㄢ4" - ], - "鉵": [ - "ㄊㄨㄥ2", - "ㄓㄨㄛ2" - ], - "鉶": [ - "ㄒㄧㄥ2" - ], - "鉷": [ - "ㄏㄨㄥ2" - ], - "鉸": [ - "ㄐㄧㄠ3" - ], - "鉹": [ - "ㄔ3" - ], - "鉺": [ - "ㄦ4", - "ㄎㄥ1", - "ㄦ3" - ], - "鉻": [ - "ㄌㄨㄛ4", - "ㄍㄜ1", - "ㄍㄜ4" - ], - "鉼": [ - "ㄅㄧㄥ3", - "ㄆㄧㄥ2" - ], - "鉽": [ - "ㄕ4" - ], - "鉾": [ - "ㄇㄡ2", - "ㄇㄠ2" - ], - "鉿": [ - "ㄐㄧㄚ1", - "ㄍㄜ1", - "ㄎㄜ1", - "ㄏㄚ1" - ], - "銀": [ - "ㄧㄣ2" - ], - "銁": [ - "ㄐㄩㄣ1" - ], - "銂": [ - "ㄓㄡ1" - ], - "銃": [ - "ㄔㄨㄥ4" - ], - "銄": [ - "ㄒㄧㄤ3", - "ㄐㄩㄥ1" - ], - "銅": [ - "ㄊㄨㄥ2" - ], - "銆": [ - "ㄇㄛ4" - ], - "銇": [ - "ㄌㄟ4" - ], - "銈": [ - "ㄐㄧ1" - ], - "銉": [ - "ㄩ4", - "ㄙ4" - ], - "銊": [ - "ㄒㄩ4", - "ㄏㄨㄟ4" - ], - "銋": [ - "ㄖㄣ2", - "ㄖㄣ3" - ], - "銌": [ - "ㄗㄨㄣ4" - ], - "銍": [ - "ㄓ4" - ], - "銎": [ - "ㄑㄩㄥ2", - "ㄑㄩㄥ1" - ], - "銏": [ - "ㄕㄢ4", - "ㄕㄨㄛ4" - ], - "銐": [ - "ㄔ4", - "ㄌㄧ4" - ], - "銑": [ - "ㄒㄧㄢ3", - "ㄒㄧㄢ1", - "ㄒㄧ3" - ], - "銒": [ - "ㄒㄧㄥ2", - "ㄐㄧㄢ1" - ], - "銓": [ - "ㄑㄩㄢ2" - ], - "銔": [ - "ㄆㄧ1" - ], - "銕": [ - "ㄊㄧㄝ3", - "ㄧ2" - ], - "銖": [ - "ㄓㄨ1" - ], - "銗": [ - "ㄒㄧㄤ4", - "ㄏㄡ2" - ], - "銘": [ - "ㄇㄧㄥ2" - ], - "銙": [ - "ㄎㄨㄚ3" - ], - "銚": [ - "ㄧㄠ2", - "ㄉㄧㄠ4", - "ㄊㄧㄠ2", - "ㄑㄧㄠ1", - "ㄧㄠ4" - ], - "銛": [ - "ㄒㄧㄢ1", - "ㄊㄧㄢ3", - "ㄍㄨㄚ1" - ], - "銜": [ - "ㄒㄧㄢ2" - ], - "銝": [ - "ㄒㄧㄡ1" - ], - "銞": [ - "ㄐㄩㄣ1" - ], - "銟": [ - "ㄔㄚ1" - ], - "銠": [ - "ㄌㄠ3" - ], - "銡": [ - "ㄐㄧ2" - ], - "銢": [ - "ㄆㄧ3" - ], - "銣": [ - "ㄖㄨ2" - ], - "銤": [ - "ㄇㄧ3" - ], - "銥": [ - "ㄧ1" - ], - "銦": [ - "ㄧㄣ1" - ], - "銧": [ - "ㄍㄨㄤ1" - ], - "銨": [ - "ㄢ3" - ], - "銩": [ - "ㄉㄧㄡ1" - ], - "銪": [ - "ㄧㄡ3" - ], - "銫": [ - "ㄙㄜ4" - ], - "銬": [ - "ㄎㄠ4" - ], - "銭": [ - "ㄑㄧㄢ2" - ], - "銮": [ - "ㄌㄨㄢ2" - ], - "銯": [ - "ㄙ1" - ], - "銰": [ - "ㄞ1" - ], - "銱": [ - "ㄉㄧㄠ4" - ], - "銲": [ - "ㄏㄢ4" - ], - "銳": [ - "ㄖㄨㄟ4" - ], - "銴": [ - "ㄕ4", - "ㄓ4" - ], - "銵": [ - "ㄎㄥ1" - ], - "銶": [ - "ㄑㄧㄡ2" - ], - "銷": [ - "ㄒㄧㄠ1" - ], - "銸": [ - "ㄓㄜ2", - "ㄋㄧㄝ4" - ], - "銹": [ - "ㄒㄧㄡ4", - "ㄧㄡ4" - ], - "銺": [ - "ㄗㄤ4" - ], - "銻": [ - "ㄊㄧ2", - "ㄊㄧ1" - ], - "銼": [ - "ㄘㄨㄛ4" - ], - "銽": [ - "ㄍㄨㄚ1" - ], - "銾": [ - "ㄏㄨㄥ4", - "ㄍㄨㄥ3" - ], - "銿": [ - "ㄓㄨㄥ1", - "ㄩㄥ1" - ], - "鋀": [ - "ㄊㄡ1", - "ㄉㄡ4", - "ㄊㄨ4" - ], - "鋁": [ - "ㄌㄩ3", - "ㄌㄩ4" - ], - "鋂": [ - "ㄇㄟ2", - "ㄇㄥ2" - ], - "鋃": [ - "ㄌㄤ2" - ], - "鋄": [ - "ㄨㄢ4" - ], - "鋅": [ - "ㄒㄧㄣ1", - "ㄗ3" - ], - "鋆": [ - "ㄩㄣ2", - "ㄐㄩㄣ1" - ], - "鋇": [ - "ㄅㄟ4" - ], - "鋈": [ - "ㄨ4" - ], - "鋉": [ - "ㄙㄨ4" - ], - "鋊": [ - "ㄩ4" - ], - "鋋": [ - "ㄔㄢ2", - "ㄧㄢ2" - ], - "鋌": [ - "ㄉㄧㄥ4", - "ㄊㄧㄥ3" - ], - "鋍": [ - "ㄅㄛ2" - ], - "鋎": [ - "ㄏㄢ4" - ], - "鋏": [ - "ㄐㄧㄚ2" - ], - "鋐": [ - "ㄏㄨㄥ2" - ], - "鋑": [ - "ㄘㄨㄢ1", - "ㄐㄧㄢ1", - "ㄐㄩㄢ1" - ], - "鋒": [ - "ㄈㄥ1" - ], - "鋓": [ - "ㄔㄢ1" - ], - "鋔": [ - "ㄨㄢ3" - ], - "鋕": [ - "ㄓ4" - ], - "鋖": [ - "ㄙ1", - "ㄊㄨㄛ2" - ], - "鋗": [ - "ㄒㄩㄢ1", - "ㄐㄩㄢ1", - "ㄐㄩㄢ4" - ], - "鋘": [ - "ㄏㄨㄚ2", - "ㄨ2", - "ㄏㄨ2" - ], - "鋙": [ - "ㄩ3", - "ㄩ2", - "ㄨ2" - ], - "鋚": [ - "ㄊㄧㄠ2" - ], - "鋛": [ - "ㄎㄨㄤ4" - ], - "鋜": [ - "ㄓㄨㄛ2", - "ㄔㄨㄛ4" - ], - "鋝": [ - "ㄌㄩㄝ4" - ], - "鋞": [ - "ㄒㄧㄥ2", - "ㄒㄧㄥ4", - "ㄐㄧㄥ1" - ], - "鋟": [ - "ㄑㄧㄣ3", - "ㄑㄧㄢ1", - "ㄑㄧㄣ1", - "ㄐㄧㄣ4" - ], - "鋠": [ - "ㄕㄣ4" - ], - "鋡": [ - "ㄏㄢ2" - ], - "鋢": [ - "ㄌㄩㄝ4" - ], - "鋣": [ - "ㄧㄝ2" - ], - "鋤": [ - "ㄔㄨ2", - "ㄐㄩ3" - ], - "鋥": [ - "ㄗㄥ4" - ], - "鋦": [ - "ㄐㄩ1", - "ㄐㄩ2" - ], - "鋧": [ - "ㄒㄧㄢ4" - ], - "鋨": [ - "ㄊㄧㄝ3", - "ㄜ2" - ], - "鋩": [ - "ㄇㄤ2" - ], - "鋪": [ - "ㄆㄨ4", - "ㄆㄨ1" - ], - "鋫": [ - "ㄌㄧ2" - ], - "鋬": [ - "ㄆㄢ4" - ], - "鋭": [ - "ㄖㄨㄟ4", - "ㄉㄨㄟ4", - "ㄩㄝ4" - ], - "鋮": [ - "ㄔㄥ2" - ], - "鋯": [ - "ㄍㄠ4" - ], - "鋰": [ - "ㄌㄧ3" - ], - "鋱": [ - "ㄊㄜ4" - ], - "鋲": [ - "ㄅㄧㄥ1" - ], - "鋳": [ - "ㄓㄨ4" - ], - "鋴": [ - "ㄓㄣ4" - ], - "鋵": [ - "ㄊㄨ1" - ], - "鋶": [ - "ㄌㄧㄡ3" - ], - "鋷": [ - "ㄗㄨㄟ4", - "ㄋㄧㄝ4" - ], - "鋸": [ - "ㄐㄩ4", - "ㄐㄩ1" - ], - "鋹": [ - "ㄔㄤ3" - ], - "鋺": [ - "ㄩㄢ3", - "ㄩㄢ1", - "ㄨㄢ3", - "ㄨㄢ1" - ], - "鋻": [ - "ㄐㄧㄢ4", - "ㄐㄧㄢ1" - ], - "鋼": [ - "ㄍㄤ1", - "ㄍㄤ4" - ], - "鋽": [ - "ㄉㄧㄠ4" - ], - "鋾": [ - "ㄊㄠ2" - ], - "鋿": [ - "ㄔㄤ2" - ], - "錀": [ - "ㄌㄨㄣ2", - "ㄈㄣ1" - ], - "錁": [ - "ㄍㄨㄛ3", - "ㄎㄨㄚ3", - "ㄎㄜ4" - ], - "錂": [ - "ㄌㄧㄥ2" - ], - "錃": [ - "ㄆㄧ1" - ], - "錄": [ - "ㄌㄨ4" - ], - "錅": [ - "ㄌㄧ2" - ], - "錆": [ - "ㄑㄧㄤ1" - ], - "錇": [ - "ㄆㄡ2", - "ㄈㄨ2", - "ㄆㄟ2" - ], - "錈": [ - "ㄐㄩㄢ3" - ], - "錉": [ - "ㄇㄧㄣ2" - ], - "錊": [ - "ㄗㄨㄟ4", - "ㄗㄨ1" - ], - "錋": [ - "ㄆㄥ2", - "ㄅㄥ4" - ], - "錌": [ - "ㄢ4" - ], - "錍": [ - "ㄆㄧ1", - "ㄅㄟ1", - "ㄅㄧ1", - "ㄆㄧ2" - ], - "錎": [ - "ㄒㄧㄢ4", - "ㄍㄢ4", - "ㄑㄧㄢ4" - ], - "錏": [ - "ㄧㄚ1", - "ㄧㄚ4" - ], - "錐": [ - "ㄓㄨㄟ1" - ], - "錑": [ - "ㄌㄟ4", - "ㄌㄧ4" - ], - "錒": [ - "ㄎㄜ1", - "ㄚ1" - ], - "錓": [ - "ㄎㄨㄥ1" - ], - "錔": [ - "ㄊㄚ4" - ], - "錕": [ - "ㄎㄨㄣ1", - "ㄍㄨㄣ3" - ], - "錖": [ - "ㄉㄨ2" - ], - "錗": [ - "ㄋㄟ4", - "ㄓㄨㄟ4", - "ㄨㄟ4" - ], - "錘": [ - "ㄔㄨㄟ2" - ], - "錙": [ - "ㄗ1" - ], - "錚": [ - "ㄓㄥ1" - ], - "錛": [ - "ㄅㄣ1" - ], - "錜": [ - "ㄋㄧㄝ4" - ], - "錝": [ - "ㄗㄨㄥ4" - ], - "錞": [ - "ㄔㄨㄣ2", - "ㄉㄨㄟ4", - "ㄉㄨㄛ4" - ], - "錟": [ - "ㄊㄢ2", - "ㄒㄧㄢ1", - "ㄧㄢ3" - ], - "錠": [ - "ㄉㄧㄥ4" - ], - "錡": [ - "ㄑㄧ2", - "ㄧ3" - ], - "錢": [ - "ㄑㄧㄢ2", - "ㄐㄧㄢ3" - ], - "錣": [ - "ㄓㄨㄟ4", - "ㄔㄨㄛ4" - ], - "錤": [ - "ㄐㄧ1" - ], - "錥": [ - "ㄩ4" - ], - "錦": [ - "ㄐㄧㄣ3" - ], - "錧": [ - "ㄍㄨㄢ3" - ], - "錨": [ - "ㄇㄠ2" - ], - "錩": [ - "ㄔㄤ1" - ], - "錪": [ - "ㄊㄧㄢ3", - "ㄊㄨㄣ3" - ], - "錫": [ - "ㄒㄧ1", - "ㄊㄧ4" - ], - "錬": [ - "ㄌㄧㄢ4" - ], - "錭": [ - "ㄊㄠ2", - "ㄉㄧㄠ1" - ], - "錮": [ - "ㄍㄨ4" - ], - "錯": [ - "ㄘㄨㄛ4", - "ㄘㄨ4", - "ㄒㄧ1" - ], - "錰": [ - "ㄕㄨ4" - ], - "錱": [ - "ㄓㄣ1" - ], - "録": [ - "ㄌㄨ4", - "ㄌㄩ4" - ], - "錳": [ - "ㄇㄥ3" - ], - "錴": [ - "ㄌㄨ4" - ], - "錵": [ - "ㄏㄨㄚ1" - ], - "錶": [ - "ㄅㄧㄠ3" - ], - "錷": [ - "ㄍㄚ2" - ], - "錸": [ - "ㄌㄞ2" - ], - "錹": [ - "ㄎㄣ3" - ], - "錺": [ - "ㄈㄤ1" - ], - "錻": [ - "ㄨ5" - ], - "錼": [ - "ㄋㄞ4" - ], - "錽": [ - "ㄨㄢ4", - "ㄐㄧㄢ3" - ], - "錾": [ - "ㄗㄢ4" - ], - "錿": [ - "ㄏㄨ3" - ], - "鍀": [ - "ㄉㄜ2" - ], - "鍁": [ - "ㄒㄧㄢ1" - ], - "鍂": [ - "ㄆㄧㄢ1" - ], - "鍃": [ - "ㄏㄨㄛ1" - ], - "鍄": [ - "ㄌㄧㄤ4" - ], - "鍅": [ - "ㄈㄚ3" - ], - "鍆": [ - "ㄇㄣ2" - ], - "鍇": [ - "ㄎㄞ3", - "ㄐㄧㄝ1", - "ㄐㄧㄝ3" - ], - "鍈": [ - "ㄧㄥ1" - ], - "鍉": [ - "ㄉㄧ1", - "ㄔ2", - "ㄉㄧ2", - "ㄕ4" - ], - "鍊": [ - "ㄌㄧㄢ4", - "ㄐㄧㄢ4" - ], - "鍋": [ - "ㄍㄨㄛ1", - "ㄍㄨㄛ3" - ], - "鍌": [ - "ㄒㄧㄢ3" - ], - "鍍": [ - "ㄉㄨ4" - ], - "鍎": [ - "ㄊㄨ2" - ], - "鍏": [ - "ㄨㄟ2" - ], - "鍐": [ - "ㄗㄨㄥ1" - ], - "鍑": [ - "ㄈㄨ4" - ], - "鍒": [ - "ㄖㄡ2" - ], - "鍓": [ - "ㄐㄧ2" - ], - "鍔": [ - "ㄜ4" - ], - "鍕": [ - "ㄐㄩㄣ1" - ], - "鍖": [ - "ㄔㄣ3", - "ㄓㄣ1" - ], - "鍗": [ - "ㄊㄧ2" - ], - "鍘": [ - "ㄓㄚ2" - ], - "鍙": [ - "ㄏㄨ4" - ], - "鍚": [ - "ㄧㄤ2" - ], - "鍛": [ - "ㄉㄨㄢ4" - ], - "鍜": [ - "ㄒㄧㄚ2" - ], - "鍝": [ - "ㄩ2" - ], - "鍞": [ - "ㄎㄥ1" - ], - "鍟": [ - "ㄕㄥ1" - ], - "鍠": [ - "ㄏㄨㄤ2" - ], - "鍡": [ - "ㄨㄟ3" - ], - "鍢": [ - "ㄈㄨ4" - ], - "鍣": [ - "ㄓㄠ1" - ], - "鍤": [ - "ㄔㄚ1" - ], - "鍥": [ - "ㄑㄧㄝ4" - ], - "鍦": [ - "ㄕ1", - "ㄕㄜ2" - ], - "鍧": [ - "ㄏㄨㄥ1" - ], - "鍨": [ - "ㄎㄨㄟ2" - ], - "鍩": [ - "ㄊㄧㄢ3", - "ㄋㄨㄛ4" - ], - "鍪": [ - "ㄇㄡ2" - ], - "鍫": [ - "ㄑㄧㄠ1" - ], - "鍬": [ - "ㄑㄧㄠ1" - ], - "鍭": [ - "ㄏㄡ2" - ], - "鍮": [ - "ㄊㄡ1" - ], - "鍯": [ - "ㄘㄨㄥ1" - ], - "鍰": [ - "ㄏㄨㄢ2" - ], - "鍱": [ - "ㄧㄝ4", - "ㄒㄧㄝ2" - ], - "鍲": [ - "ㄇㄧㄣ2" - ], - "鍳": [ - "ㄐㄧㄢ4" - ], - "鍴": [ - "ㄉㄨㄢ1" - ], - "鍵": [ - "ㄐㄧㄢ4" - ], - "鍶": [ - "ㄙㄨㄥ1", - "ㄙ1" - ], - "鍷": [ - "ㄎㄨㄟ2" - ], - "鍸": [ - "ㄏㄨ2" - ], - "鍹": [ - "ㄒㄩㄢ1" - ], - "鍺": [ - "ㄉㄨㄛ3", - "ㄉㄨ3", - "ㄓㄜ3" - ], - "鍻": [ - "ㄐㄧㄝ2" - ], - "鍼": [ - "ㄓㄣ1", - "ㄑㄧㄢ2" - ], - "鍽": [ - "ㄅㄧㄢ1" - ], - "鍾": [ - "ㄓㄨㄥ1" - ], - "鍿": [ - "ㄗ1" - ], - "鎀": [ - "ㄒㄧㄡ1" - ], - "鎁": [ - "ㄧㄝ2" - ], - "鎂": [ - "ㄇㄟ3" - ], - "鎃": [ - "ㄆㄞ4" - ], - "鎄": [ - "ㄞ1" - ], - "鎅": [ - "ㄐㄧㄝ4" - ], - "鎆": [ - "ㄑㄧㄢ5" - ], - "鎇": [ - "ㄇㄟ2" - ], - "鎈": [ - "ㄙㄨㄛ3", - "ㄔㄚ1" - ], - "鎉": [ - "ㄉㄚ2", - "ㄊㄚ4" - ], - "鎊": [ - "ㄅㄤ4", - "ㄆㄤ1" - ], - "鎋": [ - "ㄒㄧㄚ2" - ], - "鎌": [ - "ㄌㄧㄢ2" - ], - "鎍": [ - "ㄙㄨㄛ3", - "ㄙㄜ4" - ], - "鎎": [ - "ㄎㄞ4" - ], - "鎏": [ - "ㄌㄧㄡ2" - ], - "鎐": [ - "ㄧㄠ2", - "ㄗㄨ2" - ], - "鎑": [ - "ㄧㄝ4", - "ㄊㄚ4", - "ㄍㄜ2" - ], - "鎒": [ - "ㄋㄡ4", - "ㄏㄠ1" - ], - "鎓": [ - "ㄨㄥ1" - ], - "鎔": [ - "ㄖㄨㄥ2" - ], - "鎕": [ - "ㄊㄤ2" - ], - "鎖": [ - "ㄙㄨㄛ3" - ], - "鎗": [ - "ㄑㄧㄤ1", - "ㄔㄥ1", - "ㄑㄧㄤ4" - ], - "鎘": [ - "ㄌㄧ4", - "ㄍㄜ2" - ], - "鎙": [ - "ㄕㄨㄛ4" - ], - "鎚": [ - "ㄔㄨㄟ2", - "ㄉㄨㄟ1", - "ㄓㄨㄟ4" - ], - "鎛": [ - "ㄅㄛ2" - ], - "鎜": [ - "ㄆㄢ2" - ], - "鎝": [ - "ㄉㄚ1", - "ㄙㄚ4" - ], - "鎞": [ - "ㄅㄧ1", - "ㄆㄧ1" - ], - "鎟": [ - "ㄙㄤ3" - ], - "鎠": [ - "ㄍㄤ1" - ], - "鎡": [ - "ㄗ1" - ], - "鎢": [ - "ㄨ1" - ], - "鎣": [ - "ㄧㄥ2", - "ㄧㄥ1", - "ㄐㄩㄥ3" - ], - "鎤": [ - "ㄏㄨㄤ4" - ], - "鎥": [ - "ㄊㄧㄠ2" - ], - "鎦": [ - "ㄌㄧㄡ2", - "ㄌㄧㄡ4" - ], - "鎧": [ - "ㄎㄞ3" - ], - "鎨": [ - "ㄙㄨㄣ3" - ], - "鎩": [ - "ㄕㄚ1", - "ㄕ4", - "ㄙㄜ4" - ], - "鎪": [ - "ㄙㄡ1" - ], - "鎫": [ - "ㄨㄢ4" - ], - "鎬": [ - "ㄏㄠ4", - "ㄍㄠ3" - ], - "鎭": [ - "ㄓㄣ4" - ], - "鎮": [ - "ㄓㄣ4", - "ㄓㄣ1", - "ㄊㄧㄢ2" - ], - "鎯": [ - "ㄌㄤ2", - "ㄌㄨㄛ3" - ], - "鎰": [ - "ㄧ4" - ], - "鎱": [ - "ㄩㄢ2" - ], - "鎲": [ - "ㄊㄤ3" - ], - "鎳": [ - "ㄋㄧㄝ4" - ], - "鎴": [ - "ㄒㄧ2" - ], - "鎵": [ - "ㄐㄧㄚ1" - ], - "鎶": [ - "ㄍㄜ1" - ], - "鎷": [ - "ㄇㄚ3" - ], - "鎸": [ - "ㄐㄩㄢ1" - ], - "鎹": [ - "ㄙㄨㄥ4" - ], - "鎺": [ - "ㄗㄨ3" - ], - "鎻": [ - "ㄙㄨㄛ3" - ], - "鎼": [ - "ㄒㄧㄚ4" - ], - "鎽": [ - "ㄈㄥ1" - ], - "鎾": [ - "ㄨㄣ1" - ], - "鎿": [ - "ㄋㄚ2" - ], - "鏀": [ - "ㄌㄨ3" - ], - "鏁": [ - "ㄙㄨㄛ3" - ], - "鏂": [ - "ㄡ1", - "ㄎㄡ1" - ], - "鏃": [ - "ㄗㄨ2", - "ㄔㄨㄛ4" - ], - "鏄": [ - "ㄊㄨㄢ2" - ], - "鏅": [ - "ㄒㄧㄡ1", - "ㄒㄧㄡ4" - ], - "鏆": [ - "ㄍㄨㄢ4" - ], - "鏇": [ - "ㄒㄩㄢ4", - "ㄒㄩㄢ2" - ], - "鏈": [ - "ㄌㄧㄢ4", - "ㄌㄧㄢ2" - ], - "鏉": [ - "ㄕㄡ4", - "ㄙㄡ1" - ], - "鏊": [ - "ㄠ4" - ], - "鏋": [ - "ㄇㄢ3" - ], - "鏌": [ - "ㄇㄛ4" - ], - "鏍": [ - "ㄌㄨㄛ2" - ], - "鏎": [ - "ㄅㄧ4" - ], - "鏏": [ - "ㄨㄟ4" - ], - "鏐": [ - "ㄌㄧㄡ2", - "ㄌㄧㄡ4", - "ㄌㄧㄠ2" - ], - "鏑": [ - "ㄉㄧ2", - "ㄉㄧ1" - ], - "鏒": [ - "ㄙㄢ3", - "ㄑㄧㄠ1", - "ㄘㄢ4" - ], - "鏓": [ - "ㄗㄨㄥ3", - "ㄘㄨㄥ1" - ], - "鏔": [ - "ㄧ2" - ], - "鏕": [ - "ㄌㄨ4", - "ㄠ2" - ], - "鏖": [ - "ㄠ2", - "ㄅㄧㄠ1" - ], - "鏗": [ - "ㄎㄥ1" - ], - "鏘": [ - "ㄑㄧㄤ1" - ], - "鏙": [ - "ㄘㄨㄟ1" - ], - "鏚": [ - "ㄑㄧ1" - ], - "鏛": [ - "ㄔㄤ2" - ], - "鏜": [ - "ㄊㄤ1", - "ㄊㄤ2" - ], - "鏝": [ - "ㄇㄢ4" - ], - "鏞": [ - "ㄩㄥ1" - ], - "鏟": [ - "ㄔㄢ3" - ], - "鏠": [ - "ㄈㄥ1" - ], - "鏡": [ - "ㄐㄧㄥ4" - ], - "鏢": [ - "ㄅㄧㄠ1" - ], - "鏣": [ - "ㄕㄨ4" - ], - "鏤": [ - "ㄌㄡ4", - "ㄌㄩ2" - ], - "鏥": [ - "ㄒㄧㄡ4" - ], - "鏦": [ - "ㄘㄨㄥ1" - ], - "鏧": [ - "ㄌㄨㄥ2" - ], - "鏨": [ - "ㄗㄢ4" - ], - "鏩": [ - "ㄐㄧㄢ4", - "ㄗㄢ4" - ], - "鏪": [ - "ㄘㄠ2" - ], - "鏫": [ - "ㄌㄧ2" - ], - "鏬": [ - "ㄒㄧㄚ4" - ], - "鏭": [ - "ㄒㄧ1" - ], - "鏮": [ - "ㄎㄤ1" - ], - "鏯": [ - "ㄕㄨㄤ3" - ], - "鏰": [ - "ㄅㄥ4" - ], - "鏱": [ - "ㄓㄤ5" - ], - "鏲": [ - "ㄑㄧㄢ5" - ], - "鏳": [ - "ㄔㄥ1" - ], - "鏴": [ - "ㄌㄨ4" - ], - "鏵": [ - "ㄏㄨㄚ2" - ], - "鏶": [ - "ㄐㄧ2" - ], - "鏷": [ - "ㄆㄨ2" - ], - "鏸": [ - "ㄏㄨㄟ4", - "ㄙㄨㄟ4", - "ㄖㄨㄟ4" - ], - "鏹": [ - "ㄑㄧㄤ3", - "ㄑㄧㄤ1" - ], - "鏺": [ - "ㄆㄛ1" - ], - "鏻": [ - "ㄌㄧㄣ2" - ], - "鏼": [ - "ㄙㄜ4" - ], - "鏽": [ - "ㄒㄧㄡ4" - ], - "鏾": [ - "ㄙㄢ3", - "ㄒㄧㄢ4", - "ㄙㄚ4" - ], - "鏿": [ - "ㄔㄥ1" - ], - "鐀": [ - "ㄎㄨㄟ4", - "ㄍㄨㄟ4" - ], - "鐁": [ - "ㄙ1" - ], - "鐂": [ - "ㄌㄧㄡ2" - ], - "鐃": [ - "ㄋㄠ2", - "ㄋㄠ4" - ], - "鐄": [ - "ㄏㄨㄤ2" - ], - "鐅": [ - "ㄆㄧㄝ3" - ], - "鐆": [ - "ㄙㄨㄟ4" - ], - "鐇": [ - "ㄈㄢ2" - ], - "鐈": [ - "ㄑㄧㄠ2" - ], - "鐉": [ - "ㄑㄩㄢ1" - ], - "鐊": [ - "ㄧㄤ2" - ], - "鐋": [ - "ㄊㄤ1", - "ㄊㄤ4" - ], - "鐌": [ - "ㄒㄧㄤ4" - ], - "鐍": [ - "ㄐㄩㄝ2", - "ㄩ4" - ], - "鐎": [ - "ㄐㄧㄠ1" - ], - "鐏": [ - "ㄗㄨㄣ1" - ], - "鐐": [ - "ㄌㄧㄠ2" - ], - "鐑": [ - "ㄑㄧㄝ4" - ], - "鐒": [ - "ㄌㄠ2" - ], - "鐓": [ - "ㄉㄨㄟ4", - "ㄉㄨㄟ1", - "ㄉㄨㄣ1" - ], - "鐔": [ - "ㄒㄧㄣ2" - ], - "鐕": [ - "ㄗㄢ1" - ], - "鐖": [ - "ㄐㄧ1", - "ㄑㄧ2" - ], - "鐗": [ - "ㄐㄧㄢ3" - ], - "鐘": [ - "ㄓㄨㄥ1" - ], - "鐙": [ - "ㄉㄥ4", - "ㄉㄥ1" - ], - "鐚": [ - "ㄧㄚ1" - ], - "鐛": [ - "ㄧㄥ3" - ], - "鐜": [ - "ㄉㄨㄟ1", - "ㄉㄨㄣ1" - ], - "鐝": [ - "ㄐㄩㄝ2" - ], - "鐞": [ - "ㄋㄡ4" - ], - "鐟": [ - "ㄗㄢ1", - "ㄊㄧ4" - ], - "鐠": [ - "ㄆㄨ3" - ], - "鐡": [ - "ㄊㄧㄝ3" - ], - "鐢": [ - "ㄈㄢ2" - ], - "鐣": [ - "ㄔㄥ1" - ], - "鐤": [ - "ㄉㄧㄥ3" - ], - "鐥": [ - "ㄕㄢ4" - ], - "鐦": [ - "ㄎㄞ1" - ], - "鐧": [ - "ㄐㄧㄢ1", - "ㄐㄧㄢ3" - ], - "鐨": [ - "ㄈㄟ4" - ], - "鐩": [ - "ㄙㄨㄟ4" - ], - "鐪": [ - "ㄌㄨ3" - ], - "鐫": [ - "ㄐㄩㄢ1" - ], - "鐬": [ - "ㄏㄨㄟ4" - ], - "鐭": [ - "ㄩ4" - ], - "鐮": [ - "ㄌㄧㄢ2" - ], - "鐯": [ - "ㄓㄨㄛ2" - ], - "鐰": [ - "ㄑㄧㄠ1", - "ㄙㄠ4", - "ㄘㄠ2" - ], - "鐱": [ - "ㄐㄧㄢ4", - "ㄑㄧㄢ1" - ], - "鐲": [ - "ㄓㄨㄛ2", - "ㄕㄨ3" - ], - "鐳": [ - "ㄌㄟ2" - ], - "鐴": [ - "ㄅㄧ4", - "ㄅㄟ4" - ], - "鐵": [ - "ㄊㄧㄝ3", - "ㄉㄧㄝ2" - ], - "鐶": [ - "ㄏㄨㄢ2", - "ㄒㄩㄢ4" - ], - "鐷": [ - "ㄧㄝ4" - ], - "鐸": [ - "ㄉㄨㄛ2" - ], - "鐹": [ - "ㄍㄨㄛ3", - "ㄍㄨㄛ1" - ], - "鐺": [ - "ㄉㄤ1", - "ㄔㄥ1", - "ㄊㄤ1" - ], - "鐻": [ - "ㄐㄩ4", - "ㄑㄩ2" - ], - "鐼": [ - "ㄈㄣ2", - "ㄅㄣ1" - ], - "鐽": [ - "ㄉㄚ2" - ], - "鐾": [ - "ㄅㄟ4" - ], - "鐿": [ - "ㄧ4" - ], - "鑀": [ - "ㄞ4" - ], - "鑁": [ - "ㄗㄨㄥ1" - ], - "鑂": [ - "ㄒㄩㄣ4" - ], - "鑃": [ - "ㄉㄧㄠ4" - ], - "鑄": [ - "ㄓㄨ4" - ], - "鑅": [ - "ㄏㄥ2" - ], - "鑆": [ - "ㄓㄨㄟ4" - ], - "鑇": [ - "ㄐㄧ1" - ], - "鑈": [ - "ㄋㄧㄝ4", - "ㄋㄧ3" - ], - "鑉": [ - "ㄏㄜ2" - ], - "鑊": [ - "ㄏㄨㄛ4" - ], - "鑋": [ - "ㄑㄧㄥ1" - ], - "鑌": [ - "ㄅㄧㄣ1" - ], - "鑍": [ - "ㄧㄥ1" - ], - "鑎": [ - "ㄎㄨㄟ4" - ], - "鑏": [ - "ㄋㄧㄥ2", - "ㄋㄧㄥ3" - ], - "鑐": [ - "ㄒㄩ1", - "ㄖㄨ2", - "ㄖㄡ2" - ], - "鑑": [ - "ㄐㄧㄢ4" - ], - "鑒": [ - "ㄐㄧㄢ4" - ], - "鑓": [ - "ㄑㄧㄢ3" - ], - "鑔": [ - "ㄔㄚ3" - ], - "鑕": [ - "ㄓ4" - ], - "鑖": [ - "ㄇㄧㄝ4", - "ㄇㄧ4" - ], - "鑗": [ - "ㄌㄧ2" - ], - "鑘": [ - "ㄌㄟ2", - "ㄌㄟ3" - ], - "鑙": [ - "ㄐㄧ1" - ], - "鑚": [ - "ㄗㄨㄢ4" - ], - "鑛": [ - "ㄎㄨㄤ4", - "ㄍㄨㄥ3" - ], - "鑜": [ - "ㄕㄤ3" - ], - "鑝": [ - "ㄆㄥ2" - ], - "鑞": [ - "ㄌㄚ4" - ], - "鑟": [ - "ㄉㄨ2" - ], - "鑠": [ - "ㄕㄨㄛ4", - "ㄩㄝ4", - "ㄌㄧ4" - ], - "鑡": [ - "ㄔㄨㄛ4" - ], - "鑢": [ - "ㄌㄩ4" - ], - "鑣": [ - "ㄅㄧㄠ1" - ], - "鑤": [ - "ㄅㄠ4" - ], - "鑥": [ - "ㄌㄨ3" - ], - "鑦": [ - "ㄒㄧㄢ5" - ], - "鑧": [ - "ㄎㄨㄢ1" - ], - "鑨": [ - "ㄌㄨㄥ2" - ], - "鑩": [ - "ㄜ4" - ], - "鑪": [ - "ㄌㄨ2" - ], - "鑫": [ - "ㄒㄧㄣ1", - "ㄒㄩㄣ4" - ], - "鑬": [ - "ㄐㄧㄢ4" - ], - "鑭": [ - "ㄌㄢ4", - "ㄌㄢ2" - ], - "鑮": [ - "ㄅㄛ2" - ], - "鑯": [ - "ㄐㄧㄢ1", - "ㄑㄧㄢ1" - ], - "鑰": [ - "ㄧㄠ4", - "ㄩㄝ4" - ], - "鑱": [ - "ㄔㄢ2" - ], - "鑲": [ - "ㄒㄧㄤ1", - "ㄖㄤ2" - ], - "鑳": [ - "ㄐㄧㄢ4" - ], - "鑴": [ - "ㄒㄧ1", - "ㄏㄨㄟ1" - ], - "鑵": [ - "ㄍㄨㄢ4" - ], - "鑶": [ - "ㄘㄤ2" - ], - "鑷": [ - "ㄋㄧㄝ4" - ], - "鑸": [ - "ㄌㄟ3" - ], - "鑹": [ - "ㄘㄨㄢ1", - "ㄘㄨㄢ4" - ], - "鑺": [ - "ㄑㄩ2" - ], - "鑻": [ - "ㄆㄢ4" - ], - "鑼": [ - "ㄌㄨㄛ2" - ], - "鑽": [ - "ㄗㄨㄢ1", - "ㄗㄨㄢ4" - ], - "鑾": [ - "ㄌㄨㄢ2" - ], - "鑿": [ - "ㄗㄠ2", - "ㄗㄨㄛ4", - "ㄗㄨ2", - "ㄗㄠ4" - ], - "钀": [ - "ㄋㄧㄝ4", - "ㄧ3" - ], - "钁": [ - "ㄐㄩㄝ2" - ], - "钂": [ - "ㄊㄤ3" - ], - "钃": [ - "ㄓㄨ2" - ], - "钄": [ - "ㄌㄢ2" - ], - "钅": [ - "ㄐㄧㄣ1" - ], - "钆": [ - "ㄍㄚ2" - ], - "钇": [ - "ㄧ3" - ], - "针": [ - "ㄓㄣ1" - ], - "钉": [ - "ㄉㄧㄥ1", - "ㄉㄧㄥ4" - ], - "钊": [ - "ㄓㄠ1" - ], - "钋": [ - "ㄆㄛ1" - ], - "钌": [ - "ㄌㄧㄠ3", - "ㄌㄧㄠ4" - ], - "钍": [ - "ㄊㄨ3" - ], - "钎": [ - "ㄑㄧㄢ1" - ], - "钏": [ - "ㄔㄨㄢ4" - ], - "钐": [ - "ㄕㄢ1", - "ㄕㄢ4" - ], - "钑": [ - "ㄙㄚ4" - ], - "钒": [ - "ㄈㄢ2" - ], - "钓": [ - "ㄉㄧㄠ4" - ], - "钔": [ - "ㄇㄣ2" - ], - "钕": [ - "ㄋㄩ3" - ], - "钖": [ - "ㄧㄤ2" - ], - "钗": [ - "ㄔㄞ1" - ], - "钘": [ - "ㄒㄧㄥ2" - ], - "钙": [ - "ㄍㄞ4" - ], - "钚": [ - "ㄅㄨ4" - ], - "钛": [ - "ㄊㄞ4" - ], - "钜": [ - "ㄐㄩ4" - ], - "钝": [ - "ㄉㄨㄣ4" - ], - "钞": [ - "ㄔㄠ1" - ], - "钟": [ - "ㄓㄨㄥ1" - ], - "钠": [ - "ㄋㄚ4" - ], - "钡": [ - "ㄅㄟ4" - ], - "钢": [ - "ㄍㄤ1", - "ㄍㄤ4" - ], - "钣": [ - "ㄅㄢ3" - ], - "钤": [ - "ㄑㄧㄢ2" - ], - "钥": [ - "ㄧㄠ4", - "ㄩㄝ4" - ], - "钦": [ - "ㄑㄧㄣ1" - ], - "钧": [ - "ㄐㄩㄣ1" - ], - "钨": [ - "ㄨ1" - ], - "钩": [ - "ㄍㄡ1" - ], - "钪": [ - "ㄎㄤ4" - ], - "钫": [ - "ㄈㄤ1" - ], - "钬": [ - "ㄏㄨㄛ3" - ], - "钭": [ - "ㄊㄡ3", - "ㄉㄡ3" - ], - "钮": [ - "ㄋㄧㄡ3" - ], - "钯": [ - "ㄅㄚ3", - "ㄆㄚ2" - ], - "钰": [ - "ㄩ4" - ], - "钱": [ - "ㄑㄧㄢ2" - ], - "钲": [ - "ㄓㄥ1" - ], - "钳": [ - "ㄑㄧㄢ2" - ], - "钴": [ - "ㄍㄨ3" - ], - "钵": [ - "ㄅㄛ1" - ], - "钶": [ - "ㄎㄜ1" - ], - "钷": [ - "ㄆㄛ3" - ], - "钸": [ - "ㄅㄨ1" - ], - "钹": [ - "ㄅㄛ2" - ], - "钺": [ - "ㄩㄝ4" - ], - "钻": [ - "ㄗㄨㄢ1", - "ㄗㄨㄢ4" - ], - "钼": [ - "ㄇㄨ4" - ], - "钽": [ - "ㄊㄢ3" - ], - "钾": [ - "ㄐㄧㄚ3" - ], - "钿": [ - "ㄉㄧㄢ4", - "ㄊㄧㄢ2" - ], - "铀": [ - "ㄧㄡ2" - ], - "铁": [ - "ㄊㄧㄝ3" - ], - "铂": [ - "ㄅㄛ2" - ], - "铃": [ - "ㄌㄧㄥ2" - ], - "铄": [ - "ㄕㄨㄛ4" - ], - "铅": [ - "ㄑㄧㄢ1", - "ㄧㄢ2" - ], - "铆": [ - "ㄇㄠ3" - ], - "铇": [ - "ㄅㄠ4" - ], - "铈": [ - "ㄕ4" - ], - "铉": [ - "ㄒㄩㄢ4" - ], - "铊": [ - "ㄊㄚ1", - "ㄊㄨㄛ2" - ], - "铋": [ - "ㄅㄧ4" - ], - "铌": [ - "ㄋㄧ2" - ], - "铍": [ - "ㄆㄧ1", - "ㄆㄧ2" - ], - "铎": [ - "ㄉㄨㄛ2" - ], - "铏": [ - "ㄒㄧㄥ2" - ], - "铐": [ - "ㄎㄠ4" - ], - "铑": [ - "ㄌㄠ3" - ], - "铒": [ - "ㄦ3" - ], - "铓": [ - "ㄇㄤ2" - ], - "铔": [ - "ㄧㄚ1" - ], - "铕": [ - "ㄧㄡ3" - ], - "铖": [ - "ㄔㄥ2" - ], - "铗": [ - "ㄐㄧㄚ2" - ], - "铘": [ - "ㄧㄝ2" - ], - "铙": [ - "ㄋㄠ2" - ], - "铚": [ - "ㄓ4" - ], - "铛": [ - "ㄉㄤ1", - "ㄔㄥ1" - ], - "铜": [ - "ㄊㄨㄥ2" - ], - "铝": [ - "ㄌㄩ3" - ], - "铞": [ - "ㄉㄧㄠ4" - ], - "铟": [ - "ㄧㄣ1" - ], - "铠": [ - "ㄎㄞ3" - ], - "铡": [ - "ㄓㄚ2" - ], - "铢": [ - "ㄓㄨ1" - ], - "铣": [ - "ㄒㄧ3", - "ㄒㄧㄢ3" - ], - "铤": [ - "ㄉㄧㄥ4", - "ㄊㄧㄥ3" - ], - "铥": [ - "ㄉㄧㄡ1" - ], - "铦": [ - "ㄒㄧㄢ1" - ], - "铧": [ - "ㄏㄨㄚ2" - ], - "铨": [ - "ㄑㄩㄢ2" - ], - "铩": [ - "ㄕㄚ1" - ], - "铪": [ - "ㄏㄚ1" - ], - "铫": [ - "ㄉㄧㄠ4", - "ㄧㄠ2" - ], - "铬": [ - "ㄍㄜ4" - ], - "铭": [ - "ㄇㄧㄥ2" - ], - "铮": [ - "ㄓㄥ1", - "ㄓㄥ4" - ], - "铯": [ - "ㄙㄜ4" - ], - "铰": [ - "ㄐㄧㄠ3" - ], - "铱": [ - "ㄧ1" - ], - "铲": [ - "ㄔㄢ3" - ], - "铳": [ - "ㄔㄨㄥ4" - ], - "铴": [ - "ㄊㄤ1" - ], - "铵": [ - "ㄢ3" - ], - "银": [ - "ㄧㄣ2" - ], - "铷": [ - "ㄖㄨ2" - ], - "铸": [ - "ㄓㄨ4" - ], - "铹": [ - "ㄌㄠ2" - ], - "铺": [ - "ㄆㄨ4", - "ㄆㄨ1" - ], - "铻": [ - "ㄨ2", - "ㄩ3" - ], - "铼": [ - "ㄌㄞ2" - ], - "铽": [ - "ㄊㄜ4" - ], - "链": [ - "ㄌㄧㄢ4" - ], - "铿": [ - "ㄎㄥ1" - ], - "销": [ - "ㄒㄧㄠ1" - ], - "锁": [ - "ㄙㄨㄛ3" - ], - "锂": [ - "ㄌㄧ3" - ], - "锃": [ - "ㄗㄥ4" - ], - "锄": [ - "ㄔㄨ2" - ], - "锅": [ - "ㄍㄨㄛ1" - ], - "锆": [ - "ㄍㄠ4" - ], - "锇": [ - "ㄜ2" - ], - "锈": [ - "ㄒㄧㄡ4" - ], - "锉": [ - "ㄘㄨㄛ4" - ], - "锊": [ - "ㄌㄩㄝ4" - ], - "锋": [ - "ㄈㄥ1" - ], - "锌": [ - "ㄒㄧㄣ1" - ], - "锍": [ - "ㄌㄧㄡ3" - ], - "锎": [ - "ㄎㄞ1" - ], - "锏": [ - "ㄐㄧㄢ3", - "ㄐㄧㄢ4" - ], - "锐": [ - "ㄖㄨㄟ4" - ], - "锑": [ - "ㄊㄧ1" - ], - "锒": [ - "ㄌㄤ2" - ], - "锓": [ - "ㄑㄧㄣ3" - ], - "锔": [ - "ㄐㄩ1", - "ㄐㄩ2" - ], - "锕": [ - "ㄚ1" - ], - "锖": [ - "ㄑㄧㄤ1" - ], - "锗": [ - "ㄓㄜ3" - ], - "锘": [ - "ㄋㄨㄛ4" - ], - "错": [ - "ㄘㄨㄛ4" - ], - "锚": [ - "ㄇㄠ2" - ], - "锛": [ - "ㄅㄣ1" - ], - "锜": [ - "ㄑㄧ2" - ], - "锝": [ - "ㄉㄜ2" - ], - "锞": [ - "ㄎㄜ4" - ], - "锟": [ - "ㄎㄨㄣ1" - ], - "锠": [ - "ㄔㄤ1" - ], - "锡": [ - "ㄒㄧ1" - ], - "锢": [ - "ㄍㄨ4" - ], - "锣": [ - "ㄌㄨㄛ2" - ], - "锤": [ - "ㄔㄨㄟ2" - ], - "锥": [ - "ㄓㄨㄟ1" - ], - "锦": [ - "ㄐㄧㄣ3" - ], - "锧": [ - "ㄓ4" - ], - "锨": [ - "ㄒㄧㄢ1" - ], - "锩": [ - "ㄐㄩㄢ3" - ], - "锪": [ - "ㄏㄨㄛ1" - ], - "锫": [ - "ㄆㄟ2" - ], - "锬": [ - "ㄊㄢ2", - "ㄒㄧㄢ1" - ], - "锭": [ - "ㄉㄧㄥ4" - ], - "键": [ - "ㄐㄧㄢ4" - ], - "锯": [ - "ㄐㄩ4", - "ㄐㄩ1" - ], - "锰": [ - "ㄇㄥ3" - ], - "锱": [ - "ㄗ1" - ], - "锲": [ - "ㄑㄧㄝ4" - ], - "锳": [ - "ㄧㄥ1" - ], - "锴": [ - "ㄎㄞ3" - ], - "锵": [ - "ㄑㄧㄤ1" - ], - "锶": [ - "ㄙ1" - ], - "锷": [ - "ㄜ4" - ], - "锸": [ - "ㄔㄚ1" - ], - "锹": [ - "ㄑㄧㄠ1" - ], - "锺": [ - "ㄓㄨㄥ1" - ], - "锻": [ - "ㄉㄨㄢ4" - ], - "锼": [ - "ㄙㄡ1" - ], - "锽": [ - "ㄏㄨㄤ2" - ], - "锾": [ - "ㄏㄨㄢ2" - ], - "锿": [ - "ㄞ1" - ], - "镀": [ - "ㄉㄨ4" - ], - "镁": [ - "ㄇㄟ3" - ], - "镂": [ - "ㄌㄡ4" - ], - "镃": [ - "ㄗ1" - ], - "镄": [ - "ㄈㄟ4" - ], - "镅": [ - "ㄇㄟ2" - ], - "镆": [ - "ㄇㄛ4" - ], - "镇": [ - "ㄓㄣ4" - ], - "镈": [ - "ㄅㄛ2" - ], - "镉": [ - "ㄍㄜ2" - ], - "镊": [ - "ㄋㄧㄝ4" - ], - "镋": [ - "ㄊㄤ3" - ], - "镌": [ - "ㄐㄩㄢ1" - ], - "镍": [ - "ㄋㄧㄝ4" - ], - "镎": [ - "ㄋㄚ2" - ], - "镏": [ - "ㄌㄧㄡ2", - "ㄌㄧㄡ4" - ], - "镐": [ - "ㄍㄠ3", - "ㄏㄠ4" - ], - "镑": [ - "ㄅㄤ4" - ], - "镒": [ - "ㄧ4" - ], - "镓": [ - "ㄐㄧㄚ1" - ], - "镔": [ - "ㄅㄧㄣ1" - ], - "镕": [ - "ㄖㄨㄥ2" - ], - "镖": [ - "ㄅㄧㄠ1" - ], - "镗": [ - "ㄊㄤ1", - "ㄊㄤ2" - ], - "镘": [ - "ㄇㄢ4" - ], - "镙": [ - "ㄌㄨㄛ2" - ], - "镚": [ - "ㄅㄥ4" - ], - "镛": [ - "ㄩㄥ1" - ], - "镜": [ - "ㄐㄧㄥ4" - ], - "镝": [ - "ㄉㄧ1", - "ㄉㄧ2" - ], - "镞": [ - "ㄗㄨ2" - ], - "镟": [ - "ㄒㄩㄢ4" - ], - "镠": [ - "ㄌㄧㄡ2" - ], - "镡": [ - "ㄔㄢ2", - "ㄊㄢ2", - "ㄒㄧㄣ2" - ], - "镢": [ - "ㄐㄩㄝ2" - ], - "镣": [ - "ㄌㄧㄠ4" - ], - "镤": [ - "ㄆㄨ2" - ], - "镥": [ - "ㄌㄨ3" - ], - "镦": [ - "ㄉㄨㄟ4", - "ㄉㄨㄣ1" - ], - "镧": [ - "ㄌㄢ2" - ], - "镨": [ - "ㄆㄨ3" - ], - "镩": [ - "ㄘㄨㄢ1" - ], - "镪": [ - "ㄑㄧㄤ1", - "ㄑㄧㄤ3" - ], - "镫": [ - "ㄉㄥ4" - ], - "镬": [ - "ㄏㄨㄛ4" - ], - "镭": [ - "ㄌㄟ2" - ], - "镮": [ - "ㄏㄨㄢ2" - ], - "镯": [ - "ㄓㄨㄛ2" - ], - "镰": [ - "ㄌㄧㄢ2" - ], - "镱": [ - "ㄧ4" - ], - "镲": [ - "ㄔㄚ3" - ], - "镳": [ - "ㄅㄧㄠ1" - ], - "镴": [ - "ㄌㄚ4" - ], - "镵": [ - "ㄔㄢ2" - ], - "镶": [ - "ㄒㄧㄤ1" - ], - "長": [ - "ㄓㄤ3", - "ㄔㄤ2", - "ㄓㄤ4" - ], - "镸": [ - "ㄔㄤ2" - ], - "镹": [ - "ㄐㄧㄡ3" - ], - "镺": [ - "ㄠ3" - ], - "镻": [ - "ㄉㄧㄝ2" - ], - "镼": [ - "ㄑㄩ1" - ], - "镽": [ - "ㄌㄧㄠ3", - "ㄌㄧㄠ2" - ], - "镾": [ - "ㄇㄧ2" - ], - "长": [ - "ㄓㄤ3", - "ㄔㄤ2" - ], - "門": [ - "ㄇㄣ2" - ], - "閁": [ - "ㄇㄚ4" - ], - "閂": [ - "ㄕㄨㄢ1" - ], - "閃": [ - "ㄕㄢ3" - ], - "閄": [ - "ㄏㄨㄛ4", - "ㄕㄢ3" - ], - "閅": [ - "ㄇㄣ2" - ], - "閆": [ - "ㄧㄢ2" - ], - "閇": [ - "ㄅㄧ4" - ], - "閈": [ - "ㄏㄢ4", - "ㄅㄧ4" - ], - "閉": [ - "ㄅㄧ4" - ], - "閊": [ - "ㄕㄢ1" - ], - "開": [ - "ㄎㄞ1", - "ㄑㄧㄢ1" - ], - "閌": [ - "ㄎㄤ4" - ], - "閍": [ - "ㄅㄥ1" - ], - "閎": [ - "ㄏㄨㄥ2" - ], - "閏": [ - "ㄖㄨㄣ4" - ], - "閐": [ - "ㄙㄢ4" - ], - "閑": [ - "ㄒㄧㄢ2" - ], - "閒": [ - "ㄒㄧㄢ2", - "ㄐㄧㄢ4", - "ㄐㄧㄢ1", - "ㄐㄧㄢ3" - ], - "間": [ - "ㄐㄧㄢ1", - "ㄐㄧㄢ4", - "ㄐㄧㄢ3" - ], - "閔": [ - "ㄇㄧㄣ3", - "ㄇㄧㄣ2" - ], - "閕": [ - "ㄒㄧㄚ1", - "ㄒㄧㄚ3" - ], - "閖": [ - "ㄕㄨㄟ5" - ], - "閗": [ - "ㄉㄡ4" - ], - "閘": [ - "ㄓㄚ2", - "ㄧㄚ1", - "ㄍㄜ1" - ], - "閙": [ - "ㄋㄠ4" - ], - "閚": [ - "ㄓㄢ1" - ], - "閛": [ - "ㄆㄥ1", - "ㄆㄥ4" - ], - "閜": [ - "ㄒㄧㄚ3", - "ㄜ3" - ], - "閝": [ - "ㄌㄧㄥ2" - ], - "閞": [ - "ㄅㄧㄢ4", - "ㄍㄨㄢ1" - ], - "閟": [ - "ㄅㄧ4" - ], - "閠": [ - "ㄖㄨㄣ4" - ], - "閡": [ - "ㄞ4", - "ㄏㄜ2", - "ㄏㄞ4", - "ㄍㄞ1", - "ㄎㄞ3" - ], - "関": [ - "ㄍㄨㄢ1" - ], - "閣": [ - "ㄍㄜ2" - ], - "閤": [ - "ㄍㄜ2", - "ㄍㄜ1", - "ㄏㄜ2" - ], - "閥": [ - "ㄈㄚ2" - ], - "閦": [ - "ㄔㄨ4" - ], - "閧": [ - "ㄏㄨㄥ4", - "ㄒㄧㄤ4" - ], - "閨": [ - "ㄍㄨㄟ1" - ], - "閩": [ - "ㄇㄧㄣ3" - ], - "閪": [ - "ㄙㄜ1" - ], - "閫": [ - "ㄎㄨㄣ3" - ], - "閬": [ - "ㄌㄤ4", - "ㄌㄤ3", - "ㄌㄧㄤ3" - ], - "閭": [ - "ㄌㄩ2" - ], - "閮": [ - "ㄊㄧㄥ2", - "ㄊㄧㄥ3" - ], - "閯": [ - "ㄕㄚ4" - ], - "閰": [ - "ㄐㄩ2" - ], - "閱": [ - "ㄩㄝ4" - ], - "閲": [ - "ㄩㄝ4" - ], - "閳": [ - "ㄔㄢ3" - ], - "閴": [ - "ㄑㄩ4" - ], - "閵": [ - "ㄌㄧㄣ4" - ], - "閶": [ - "ㄔㄤ1", - "ㄊㄤ1" - ], - "閷": [ - "ㄕㄞ4", - "ㄕㄚ1" - ], - "閸": [ - "ㄎㄨㄣ3" - ], - "閹": [ - "ㄧㄢ1" - ], - "閺": [ - "ㄨㄣ2" - ], - "閻": [ - "ㄧㄢ2", - "ㄧㄢ3", - "ㄧㄢ4" - ], - "閼": [ - "ㄜ4", - "ㄩ4", - "ㄧㄢ1" - ], - "閽": [ - "ㄏㄨㄣ1" - ], - "閾": [ - "ㄩ4" - ], - "閿": [ - "ㄨㄣ2" - ], - "闀": [ - "ㄏㄨㄥ4" - ], - "闁": [ - "ㄅㄠ1" - ], - "闂": [ - "ㄏㄨㄥ4", - "ㄒㄧㄤ4", - "ㄐㄩㄢ3" - ], - "闃": [ - "ㄑㄩ4" - ], - "闄": [ - "ㄧㄠ3" - ], - "闅": [ - "ㄨㄣ2" - ], - "闆": [ - "ㄅㄢ3", - "ㄆㄢ3" - ], - "闇": [ - "ㄢ4", - "ㄢ3", - "ㄢ1", - "ㄧㄣ1", - "ㄧㄣ3" - ], - "闈": [ - "ㄨㄟ2" - ], - "闉": [ - "ㄧㄣ1" - ], - "闊": [ - "ㄎㄨㄛ4" - ], - "闋": [ - "ㄑㄩㄝ4", - "ㄐㄩㄝ2", - "ㄎㄨㄟ2" - ], - "闌": [ - "ㄌㄢ2", - "ㄌㄢ4" - ], - "闍": [ - "ㄉㄨ1", - "ㄕㄜ2" - ], - "闎": [ - "ㄑㄩㄢ2" - ], - "闏": [ - "ㄈㄥ1" - ], - "闐": [ - "ㄊㄧㄢ2" - ], - "闑": [ - "ㄋㄧㄝ4" - ], - "闒": [ - "ㄊㄚ4" - ], - "闓": [ - "ㄎㄞ3" - ], - "闔": [ - "ㄏㄜ2" - ], - "闕": [ - "ㄑㄩㄝ4", - "ㄑㄩㄝ1", - "ㄐㄩㄝ2" - ], - "闖": [ - "ㄔㄨㄤ3", - "ㄔㄣ4" - ], - "闗": [ - "ㄍㄨㄢ1" - ], - "闘": [ - "ㄉㄡ4" - ], - "闙": [ - "ㄑㄧ3" - ], - "闚": [ - "ㄎㄨㄟ1" - ], - "闛": [ - "ㄊㄤ2", - "ㄊㄤ1", - "ㄔㄤ1" - ], - "關": [ - "ㄍㄨㄢ1", - "ㄨㄢ1", - "ㄨㄢ3" - ], - "闝": [ - "ㄆㄧㄠ2" - ], - "闞": [ - "ㄎㄢ4", - "ㄏㄢ3", - "ㄒㄧㄢ4" - ], - "闟": [ - "ㄒㄧ4", - "ㄙㄜ4", - "ㄊㄚ4" - ], - "闠": [ - "ㄏㄨㄟ4" - ], - "闡": [ - "ㄔㄢ3" - ], - "闢": [ - "ㄆㄧ4", - "ㄆㄧ1" - ], - "闣": [ - "ㄉㄤ4", - "ㄊㄤ1" - ], - "闤": [ - "ㄏㄨㄢ2" - ], - "闥": [ - "ㄊㄚ4" - ], - "闦": [ - "ㄨㄣ2" - ], - "闧": [ - "ㄊㄚ1" - ], - "门": [ - "ㄇㄣ2" - ], - "闩": [ - "ㄕㄨㄢ1" - ], - "闪": [ - "ㄕㄢ3" - ], - "闫": [ - "ㄧㄢ2" - ], - "闬": [ - "ㄏㄢ4" - ], - "闭": [ - "ㄅㄧ4" - ], - "问": [ - "ㄨㄣ4" - ], - "闯": [ - "ㄔㄨㄤ3" - ], - "闰": [ - "ㄖㄨㄣ4" - ], - "闱": [ - "ㄨㄟ2" - ], - "闲": [ - "ㄒㄧㄢ2" - ], - "闳": [ - "ㄏㄨㄥ2" - ], - "间": [ - "ㄐㄧㄢ1", - "ㄐㄧㄢ4" - ], - "闵": [ - "ㄇㄧㄣ3" - ], - "闶": [ - "ㄎㄤ1", - "ㄎㄤ4" - ], - "闷": [ - "ㄇㄣ4", - "ㄇㄣ1" - ], - "闸": [ - "ㄓㄚ2" - ], - "闹": [ - "ㄋㄠ4" - ], - "闺": [ - "ㄍㄨㄟ1" - ], - "闻": [ - "ㄨㄣ2" - ], - "闼": [ - "ㄊㄚ4" - ], - "闽": [ - "ㄇㄧㄣ3" - ], - "闾": [ - "ㄌㄩ2" - ], - "闿": [ - "ㄎㄞ3" - ], - "阀": [ - "ㄈㄚ2" - ], - "阁": [ - "ㄍㄜ2" - ], - "阂": [ - "ㄏㄜ2" - ], - "阃": [ - "ㄎㄨㄣ3" - ], - "阄": [ - "ㄐㄧㄡ1" - ], - "阅": [ - "ㄩㄝ4" - ], - "阆": [ - "ㄌㄤ2", - "ㄌㄤ4" - ], - "阇": [ - "ㄉㄨ1", - "ㄕㄜ2" - ], - "阈": [ - "ㄩ4" - ], - "阉": [ - "ㄧㄢ1" - ], - "阊": [ - "ㄔㄤ1" - ], - "阋": [ - "ㄒㄧ4" - ], - "阌": [ - "ㄨㄣ2" - ], - "阍": [ - "ㄏㄨㄣ1" - ], - "阎": [ - "ㄧㄢ2" - ], - "阏": [ - "ㄜ4", - "ㄧㄢ1" - ], - "阐": [ - "ㄔㄢ3" - ], - "阑": [ - "ㄌㄢ2" - ], - "阒": [ - "ㄑㄩ4" - ], - "阓": [ - "ㄏㄨㄟ4" - ], - "阔": [ - "ㄎㄨㄛ4" - ], - "阕": [ - "ㄑㄩㄝ4" - ], - "阖": [ - "ㄏㄜ2" - ], - "阗": [ - "ㄊㄧㄢ2" - ], - "阘": [ - "ㄉㄚ2", - "ㄊㄚ4" - ], - "阙": [ - "ㄑㄩㄝ1", - "ㄑㄩㄝ4" - ], - "阚": [ - "ㄏㄢ3", - "ㄎㄢ4" - ], - "阛": [ - "ㄏㄨㄢ2" - ], - "阜": [ - "ㄈㄨ4" - ], - "阝": [ - "ㄈㄨ4" - ], - "阞": [ - "ㄌㄜ4" - ], - "队": [ - "ㄉㄨㄟ4" - ], - "阠": [ - "ㄒㄧㄣ4" - ], - "阡": [ - "ㄑㄧㄢ1" - ], - "阢": [ - "ㄨ4", - "ㄨㄟ2" - ], - "阣": [ - "ㄍㄞ4", - "ㄧ4" - ], - "阤": [ - "ㄓ4", - "ㄧ2", - "ㄊㄨㄛ2" - ], - "阥": [ - "ㄧㄣ1" - ], - "阦": [ - "ㄧㄤ2" - ], - "阧": [ - "ㄉㄡ3" - ], - "阨": [ - "ㄜ4", - "ㄞ4" - ], - "阩": [ - "ㄕㄥ1" - ], - "阪": [ - "ㄅㄢ3" - ], - "阫": [ - "ㄆㄟ2" - ], - "阬": [ - "ㄎㄥ1", - "ㄎㄤ4", - "ㄍㄤ1" - ], - "阭": [ - "ㄩㄣ3", - "ㄧㄢ3" - ], - "阮": [ - "ㄖㄨㄢ3", - "ㄩㄢ2" - ], - "阯": [ - "ㄓ3" - ], - "阰": [ - "ㄆㄧ2" - ], - "阱": [ - "ㄐㄧㄥ3" - ], - "防": [ - "ㄈㄤ2" - ], - "阳": [ - "ㄧㄤ2" - ], - "阴": [ - "ㄧㄣ1" - ], - "阵": [ - "ㄓㄣ4" - ], - "阶": [ - "ㄐㄧㄝ1" - ], - "阷": [ - "ㄔㄥ1" - ], - "阸": [ - "ㄜ4", - "ㄞ4" - ], - "阹": [ - "ㄑㄩ1" - ], - "阺": [ - "ㄉㄧ3" - ], - "阻": [ - "ㄗㄨ3", - "ㄓㄨ4" - ], - "阼": [ - "ㄗㄨㄛ4" - ], - "阽": [ - "ㄉㄧㄢ4", - "ㄧㄢ2" - ], - "阾": [ - "ㄌㄧㄥ3", - "ㄌㄧㄥ2" - ], - "阿": [ - "ㄚ1", - "ㄜ1", - "ㄜ3", - "ㄚ3", - "ㄚ4", - "ㄚ5" - ], - "陀": [ - "ㄊㄨㄛ2", - "ㄉㄨㄛ4" - ], - "陁": [ - "ㄊㄨㄛ2", - "ㄓ4", - "ㄧ3" - ], - "陂": [ - "ㄅㄟ1", - "ㄆㄧ2", - "ㄅㄧ4", - "ㄆㄛ1" - ], - "陃": [ - "ㄅㄧㄥ3" - ], - "附": [ - "ㄈㄨ4", - "ㄅㄨ4", - "ㄈㄨ1" - ], - "际": [ - "ㄐㄧ4" - ], - "陆": [ - "ㄌㄨ4", - "ㄌㄧㄡ4" - ], - "陇": [ - "ㄌㄨㄥ3" - ], - "陈": [ - "ㄔㄣ2" - ], - "陉": [ - "ㄒㄧㄥ2" - ], - "陊": [ - "ㄉㄨㄛ4" - ], - "陋": [ - "ㄌㄡ4" - ], - "陌": [ - "ㄇㄛ4" - ], - "降": [ - "ㄐㄧㄤ4", - "ㄒㄧㄤ2", - "ㄒㄧㄤ4" - ], - "陎": [ - "ㄕㄨ1" - ], - "陏": [ - "ㄉㄨㄛ4", - "ㄙㄨㄟ2" - ], - "限": [ - "ㄒㄧㄢ4", - "ㄨㄣ3" - ], - "陑": [ - "ㄦ2" - ], - "陒": [ - "ㄍㄨㄟ3" - ], - "陓": [ - "ㄩ1" - ], - "陔": [ - "ㄍㄞ1" - ], - "陕": [ - "ㄕㄢ3" - ], - "陖": [ - "ㄐㄩㄣ4" - ], - "陗": [ - "ㄑㄧㄠ4" - ], - "陘": [ - "ㄒㄧㄥ2", - "ㄐㄧㄥ4" - ], - "陙": [ - "ㄔㄨㄣ2" - ], - "陚": [ - "ㄈㄨ4", - "ㄨ3" - ], - "陛": [ - "ㄅㄧ4" - ], - "陜": [ - "ㄒㄧㄚ2" - ], - "陝": [ - "ㄕㄢ3" - ], - "陞": [ - "ㄕㄥ1" - ], - "陟": [ - "ㄓ4", - "ㄉㄜ2" - ], - "陠": [ - "ㄆㄨ1", - "ㄅㄨ1", - "ㄅㄨ4" - ], - "陡": [ - "ㄉㄡ3" - ], - "院": [ - "ㄩㄢ4" - ], - "陣": [ - "ㄓㄣ4" - ], - "除": [ - "ㄔㄨ2", - "ㄓㄨ4", - "ㄕㄨ1" - ], - "陥": [ - "ㄒㄧㄢ4" - ], - "陦": [ - "ㄉㄠ3" - ], - "陧": [ - "ㄋㄧㄝ4" - ], - "陨": [ - "ㄩㄣ3" - ], - "险": [ - "ㄒㄧㄢ3" - ], - "陪": [ - "ㄆㄟ2" - ], - "陫": [ - "ㄈㄟ4", - "ㄆㄟ2" - ], - "陬": [ - "ㄗㄡ1", - "ㄓㄜ2" - ], - "陭": [ - "ㄧ4", - "ㄧ3" - ], - "陮": [ - "ㄉㄨㄟ4" - ], - "陯": [ - "ㄌㄨㄣ2", - "ㄌㄨㄣ4" - ], - "陰": [ - "ㄧㄣ1", - "ㄧㄣ4", - "ㄢ1" - ], - "陱": [ - "ㄐㄩ1" - ], - "陲": [ - "ㄔㄨㄟ2" - ], - "陳": [ - "ㄔㄣ2", - "ㄓㄣ4" - ], - "陴": [ - "ㄆㄧ2", - "ㄅㄧ4" - ], - "陵": [ - "ㄌㄧㄥ2" - ], - "陶": [ - "ㄊㄠ2", - "ㄧㄠ2", - "ㄉㄠ4" - ], - "陷": [ - "ㄒㄧㄢ4" - ], - "陸": [ - "ㄌㄨ4", - "ㄌㄧㄡ4" - ], - "陹": [ - "ㄕㄥ1" - ], - "険": [ - "ㄒㄧㄢ3" - ], - "陻": [ - "ㄧㄣ1" - ], - "陼": [ - "ㄓㄨ3", - "ㄉㄨ3" - ], - "陽": [ - "ㄧㄤ2" - ], - "陾": [ - "ㄖㄥ2", - "ㄦ2" - ], - "陿": [ - "ㄒㄧㄚ2" - ], - "隀": [ - "ㄔㄨㄥ2" - ], - "隁": [ - "ㄧㄢ4", - "ㄧㄢ3" - ], - "隂": [ - "ㄧㄣ1" - ], - "隃": [ - "ㄕㄨ4", - "ㄩ2", - "ㄧㄠ2" - ], - "隄": [ - "ㄉㄧ1", - "ㄊㄧ2" - ], - "隅": [ - "ㄩ2" - ], - "隆": [ - "ㄌㄨㄥ2", - "ㄌㄨㄥ1" - ], - "隇": [ - "ㄨㄟ1" - ], - "隈": [ - "ㄨㄟ1" - ], - "隉": [ - "ㄋㄧㄝ4" - ], - "隊": [ - "ㄉㄨㄟ4", - "ㄓㄨㄟ4", - "ㄙㄨㄟ4" - ], - "隋": [ - "ㄙㄨㄟ2", - "ㄉㄨㄛ4", - "ㄊㄨㄛ3", - "ㄊㄨㄛ1" - ], - "隌": [ - "ㄢ3" - ], - "隍": [ - "ㄏㄨㄤ2" - ], - "階": [ - "ㄐㄧㄝ1" - ], - "随": [ - "ㄙㄨㄟ2" - ], - "隐": [ - "ㄧㄣ3" - ], - "隑": [ - "ㄍㄞ4", - "ㄍㄞ1", - "ㄞ2", - "ㄑㄧ2" - ], - "隒": [ - "ㄧㄢ3" - ], - "隓": [ - "ㄏㄨㄟ1", - "ㄉㄨㄛ4" - ], - "隔": [ - "ㄍㄜ2", - "ㄖㄨㄥ3", - "ㄐㄧ1" - ], - "隕": [ - "ㄩㄣ3", - "ㄩㄢ2" - ], - "隖": [ - "ㄨ4" - ], - "隗": [ - "ㄎㄨㄟ2", - "ㄨㄟ3", - "ㄍㄨㄟ1" - ], - "隘": [ - "ㄞ4", - "ㄜ4" - ], - "隙": [ - "ㄒㄧ4" - ], - "隚": [ - "ㄊㄤ2" - ], - "際": [ - "ㄐㄧ4" - ], - "障": [ - "ㄓㄤ4", - "ㄓㄤ1" - ], - "隝": [ - "ㄉㄠ3" - ], - "隞": [ - "ㄠ2" - ], - "隟": [ - "ㄒㄧ4" - ], - "隠": [ - "ㄧㄣ3" - ], - "隡": [ - "ㄙㄚ4" - ], - "隢": [ - "ㄖㄠ3" - ], - "隣": [ - "ㄌㄧㄣ2" - ], - "隤": [ - "ㄊㄨㄟ2" - ], - "隥": [ - "ㄉㄥ4" - ], - "隦": [ - "ㄐㄧㄠ3", - "ㄆㄧ2" - ], - "隧": [ - "ㄙㄨㄟ4", - "ㄓㄨㄟ4" - ], - "隨": [ - "ㄙㄨㄟ2" - ], - "隩": [ - "ㄠ4", - "ㄩ4" - ], - "險": [ - "ㄒㄧㄢ3", - "ㄐㄧㄢ3", - "ㄧㄢ2" - ], - "隫": [ - "ㄈㄣ2" - ], - "隬": [ - "ㄋㄧ3" - ], - "隭": [ - "ㄦ2" - ], - "隮": [ - "ㄐㄧ1" - ], - "隯": [ - "ㄉㄠ3" - ], - "隰": [ - "ㄒㄧ2", - "ㄒㄧㄝ4" - ], - "隱": [ - "ㄧㄣ3", - "ㄧㄣ4" - ], - "隲": [ - "ㄓ4" - ], - "隳": [ - "ㄏㄨㄟ1" - ], - "隴": [ - "ㄌㄨㄥ3" - ], - "隵": [ - "ㄒㄧ1" - ], - "隶": [ - "ㄌㄧ4", - "ㄉㄞ4", - "ㄧ4", - "ㄉㄧ4" - ], - "隷": [ - "ㄌㄧ4" - ], - "隸": [ - "ㄌㄧ4" - ], - "隹": [ - "ㄓㄨㄟ1", - "ㄘㄨㄟ1", - "ㄨㄟ2" - ], - "隺": [ - "ㄏㄨ2", - "ㄏㄜ4", - "ㄑㄩㄝ4" - ], - "隻": [ - "ㄓ1", - "ㄏㄨㄛ4" - ], - "隼": [ - "ㄙㄨㄣ3" - ], - "隽": [ - "ㄐㄩㄢ4", - "ㄐㄩㄣ4" - ], - "难": [ - "ㄋㄢ2", - "ㄋㄢ4" - ], - "隿": [ - "ㄧ4" - ], - "雀": [ - "ㄑㄩㄝ4", - "ㄑㄧㄠ1", - "ㄑㄧㄠ3" - ], - "雁": [ - "ㄧㄢ4" - ], - "雂": [ - "ㄑㄧㄣ2" - ], - "雃": [ - "ㄑㄧㄢ1", - "ㄐㄧㄝ4" - ], - "雄": [ - "ㄒㄩㄥ2" - ], - "雅": [ - "ㄧㄚ3", - "ㄧㄚ1", - "ㄧㄚ2" - ], - "集": [ - "ㄐㄧ2" - ], - "雇": [ - "ㄍㄨ4", - "ㄏㄨ4" - ], - "雈": [ - "ㄏㄨㄢ2" - ], - "雉": [ - "ㄓ4", - "ㄎㄞ3", - "ㄧ3", - "ㄙ4" - ], - "雊": [ - "ㄍㄡ4" - ], - "雋": [ - "ㄐㄩㄢ4", - "ㄐㄩㄣ4", - "ㄗㄨㄟ4" - ], - "雌": [ - "ㄘ2" - ], - "雍": [ - "ㄩㄥ1" - ], - "雎": [ - "ㄐㄩ1" - ], - "雏": [ - "ㄔㄨ2" - ], - "雐": [ - "ㄏㄨ1" - ], - "雑": [ - "ㄗㄚ2" - ], - "雒": [ - "ㄌㄨㄛ4" - ], - "雓": [ - "ㄩ2" - ], - "雔": [ - "ㄔㄡ2" - ], - "雕": [ - "ㄉㄧㄠ1" - ], - "雖": [ - "ㄙㄨㄟ1" - ], - "雗": [ - "ㄏㄢ4" - ], - "雘": [ - "ㄨㄛ4" - ], - "雙": [ - "ㄕㄨㄤ1" - ], - "雚": [ - "ㄍㄨㄢ4", - "ㄏㄨㄢ2" - ], - "雛": [ - "ㄔㄨ2", - "ㄐㄩ2", - "ㄐㄩ4" - ], - "雜": [ - "ㄗㄚ2" - ], - "雝": [ - "ㄩㄥ1" - ], - "雞": [ - "ㄐㄧ1" - ], - "雟": [ - "ㄒㄧ1" - ], - "雠": [ - "ㄔㄡ2" - ], - "雡": [ - "ㄌㄧㄡ4" - ], - "離": [ - "ㄌㄧ2", - "ㄌㄧ4", - "ㄌㄧ3", - "ㄔ1", - "ㄍㄨ3" - ], - "難": [ - "ㄋㄢ2", - "ㄋㄢ4", - "ㄋㄨㄛ2" - ], - "雤": [ - "ㄒㄩㄝ2" - ], - "雥": [ - "ㄗㄚ2" - ], - "雦": [ - "ㄐㄧ2" - ], - "雧": [ - "ㄐㄧ2" - ], - "雨": [ - "ㄩ3", - "ㄩ4" - ], - "雩": [ - "ㄩ2", - "ㄩ4", - "ㄒㄩ1" - ], - "雪": [ - "ㄒㄩㄝ3" - ], - "雫": [ - "ㄋㄚ3" - ], - "雬": [ - "ㄈㄡ3" - ], - "雭": [ - "ㄙㄜ4", - "ㄒㄧ2" - ], - "雮": [ - "ㄇㄨ4" - ], - "雯": [ - "ㄨㄣ2" - ], - "雰": [ - "ㄈㄣ1" - ], - "雱": [ - "ㄆㄤ1", - "ㄆㄤ2", - "ㄈㄤ1" - ], - "雲": [ - "ㄩㄣ2" - ], - "雳": [ - "ㄌㄧ4" - ], - "雴": [ - "ㄔ4" - ], - "雵": [ - "ㄧㄤ1" - ], - "零": [ - "ㄌㄧㄥ2", - "ㄌㄧㄢ2" - ], - "雷": [ - "ㄌㄟ2", - "ㄌㄟ4" - ], - "雸": [ - "ㄢ2" - ], - "雹": [ - "ㄅㄠ2" - ], - "雺": [ - "ㄨ4", - "ㄇㄥ2" - ], - "電": [ - "ㄉㄧㄢ4" - ], - "雼": [ - "ㄉㄤ4" - ], - "雽": [ - "ㄏㄨ4", - "ㄏㄨ1" - ], - "雾": [ - "ㄨ4" - ], - "雿": [ - "ㄉㄧㄠ4" - ], - "需": [ - "ㄒㄩ1", - "ㄋㄨㄛ4", - "ㄖㄨ2", - "ㄖㄨㄢ3" - ], - "霁": [ - "ㄐㄧ4" - ], - "霂": [ - "ㄇㄨ4" - ], - "霃": [ - "ㄔㄣ2" - ], - "霄": [ - "ㄒㄧㄠ1", - "ㄒㄧㄠ4" - ], - "霅": [ - "ㄓㄚ4", - "ㄓㄚ2", - "ㄕㄚ4", - "ㄙㄚ4", - "ㄧ4" - ], - "霆": [ - "ㄊㄧㄥ2" - ], - "震": [ - "ㄓㄣ4", - "ㄕㄣ1" - ], - "霈": [ - "ㄆㄟ4" - ], - "霉": [ - "ㄇㄟ2" - ], - "霊": [ - "ㄌㄧㄥ2" - ], - "霋": [ - "ㄑㄧ1" - ], - "霌": [ - "ㄓㄡ1" - ], - "霍": [ - "ㄏㄨㄛ4", - "ㄏㄜ4", - "ㄙㄨㄛ3" - ], - "霎": [ - "ㄕㄚ4" - ], - "霏": [ - "ㄈㄟ1" - ], - "霐": [ - "ㄏㄨㄥ2" - ], - "霑": [ - "ㄓㄢ1" - ], - "霒": [ - "ㄧㄣ1" - ], - "霓": [ - "ㄋㄧ2" - ], - "霔": [ - "ㄓㄨ4" - ], - "霕": [ - "ㄊㄨㄣ2" - ], - "霖": [ - "ㄌㄧㄣ2" - ], - "霗": [ - "ㄌㄧㄥ2" - ], - "霘": [ - "ㄉㄨㄥ4" - ], - "霙": [ - "ㄧㄥ1", - "ㄧㄤ1" - ], - "霚": [ - "ㄨ4" - ], - "霛": [ - "ㄌㄧㄥ2" - ], - "霜": [ - "ㄕㄨㄤ1" - ], - "霝": [ - "ㄌㄧㄥ2" - ], - "霞": [ - "ㄒㄧㄚ2" - ], - "霟": [ - "ㄏㄨㄥ2" - ], - "霠": [ - "ㄧㄣ1" - ], - "霡": [ - "ㄇㄞ4" - ], - "霢": [ - "ㄇㄞ4" - ], - "霣": [ - "ㄩㄣ3" - ], - "霤": [ - "ㄌㄧㄡ4" - ], - "霥": [ - "ㄇㄥ4" - ], - "霦": [ - "ㄅㄧㄣ1" - ], - "霧": [ - "ㄨ4", - "ㄇㄥ2" - ], - "霨": [ - "ㄨㄟ4" - ], - "霩": [ - "ㄎㄨㄛ4" - ], - "霪": [ - "ㄧㄣ2" - ], - "霫": [ - "ㄒㄧ2" - ], - "霬": [ - "ㄧ4" - ], - "霭": [ - "ㄞ3" - ], - "霮": [ - "ㄉㄢ4" - ], - "霯": [ - "ㄊㄥ4" - ], - "霰": [ - "ㄒㄧㄢ4", - "ㄙㄢ3" - ], - "霱": [ - "ㄩ4" - ], - "露": [ - "ㄌㄨ4", - "ㄌㄡ4" - ], - "霳": [ - "ㄌㄨㄥ2" - ], - "霴": [ - "ㄉㄞ4" - ], - "霵": [ - "ㄐㄧ2" - ], - "霶": [ - "ㄆㄤ1" - ], - "霷": [ - "ㄧㄤ2" - ], - "霸": [ - "ㄅㄚ4", - "ㄆㄛ4" - ], - "霹": [ - "ㄆㄧ1" - ], - "霺": [ - "ㄨㄟ2" - ], - "霻": [ - "ㄈㄥ1" - ], - "霼": [ - "ㄒㄧ4" - ], - "霽": [ - "ㄐㄧ4" - ], - "霾": [ - "ㄇㄞ2", - "ㄌㄧ2" - ], - "霿": [ - "ㄇㄥ2", - "ㄇㄠ4", - "ㄨ4" - ], - "靀": [ - "ㄇㄥ2" - ], - "靁": [ - "ㄌㄟ2" - ], - "靂": [ - "ㄌㄧ4" - ], - "靃": [ - "ㄏㄨㄛ4", - "ㄙㄨㄟ3", - "ㄙㄨㄛ3" - ], - "靄": [ - "ㄞ3" - ], - "靅": [ - "ㄈㄟ4" - ], - "靆": [ - "ㄉㄞ4" - ], - "靇": [ - "ㄌㄨㄥ2", - "ㄌㄧㄥ2" - ], - "靈": [ - "ㄌㄧㄥ2" - ], - "靉": [ - "ㄞ4", - "ㄧ3" - ], - "靊": [ - "ㄈㄥ1" - ], - "靋": [ - "ㄌㄧ4" - ], - "靌": [ - "ㄅㄠ3" - ], - "靍": [ - "ㄏㄜ4" - ], - "靎": [ - "ㄏㄜ4" - ], - "靏": [ - "ㄏㄜ4" - ], - "靐": [ - "ㄅㄧㄥ4" - ], - "靑": [ - "ㄑㄧㄥ1" - ], - "青": [ - "ㄑㄧㄥ1", - "ㄐㄧㄥ1" - ], - "靓": [ - "ㄐㄧㄥ4", - "ㄌㄧㄤ4" - ], - "靔": [ - "ㄊㄧㄢ1" - ], - "靕": [ - "ㄓㄣ1" - ], - "靖": [ - "ㄐㄧㄥ4" - ], - "靗": [ - "ㄔㄥ1" - ], - "靘": [ - "ㄑㄧㄥ4", - "ㄑㄧㄥ1", - "ㄐㄧㄥ4" - ], - "静": [ - "ㄐㄧㄥ4" - ], - "靚": [ - "ㄐㄧㄥ4", - "ㄌㄧㄤ2" - ], - "靛": [ - "ㄉㄧㄢ4" - ], - "靜": [ - "ㄐㄧㄥ4" - ], - "靝": [ - "ㄊㄧㄢ1" - ], - "非": [ - "ㄈㄟ1", - "ㄈㄟ3" - ], - "靟": [ - "ㄈㄟ1" - ], - "靠": [ - "ㄎㄠ4" - ], - "靡": [ - "ㄇㄧ2", - "ㄇㄧ3", - "ㄇㄚ2" - ], - "面": [ - "ㄇㄧㄢ4" - ], - "靣": [ - "ㄇㄧㄢ4" - ], - "靤": [ - "ㄅㄠ4" - ], - "靥": [ - "ㄧㄝ4" - ], - "靦": [ - "ㄊㄧㄢ3", - "ㄇㄧㄢ3" - ], - "靧": [ - "ㄏㄨㄟ4" - ], - "靨": [ - "ㄧㄝ4", - "ㄧㄢ3" - ], - "革": [ - "ㄍㄜ2", - "ㄐㄧ2" - ], - "靪": [ - "ㄉㄧㄥ1" - ], - "靫": [ - "ㄔㄚ2" - ], - "靬": [ - "ㄑㄧㄢ2", - "ㄐㄧㄢ1", - "ㄎㄢ1", - "ㄏㄢ4" - ], - "靭": [ - "ㄖㄣ4" - ], - "靮": [ - "ㄉㄧ2" - ], - "靯": [ - "ㄉㄨ4" - ], - "靰": [ - "ㄨ4" - ], - "靱": [ - "ㄖㄣ4" - ], - "靲": [ - "ㄑㄧㄣ2" - ], - "靳": [ - "ㄐㄧㄣ4" - ], - "靴": [ - "ㄒㄩㄝ1" - ], - "靵": [ - "ㄋㄧㄡ3" - ], - "靶": [ - "ㄅㄚ3", - "ㄅㄚ4" - ], - "靷": [ - "ㄧㄣ3" - ], - "靸": [ - "ㄙㄚ3", - "ㄊㄚ1" - ], - "靹": [ - "ㄋㄚ4" - ], - "靺": [ - "ㄇㄛ4", - "ㄨㄚ4" - ], - "靻": [ - "ㄗㄨ3" - ], - "靼": [ - "ㄉㄚ2" - ], - "靽": [ - "ㄅㄢ4" - ], - "靾": [ - "ㄧ4" - ], - "靿": [ - "ㄧㄠ4" - ], - "鞀": [ - "ㄊㄠ2" - ], - "鞁": [ - "ㄅㄟ4", - "ㄅㄞ4", - "ㄅㄧ4" - ], - "鞂": [ - "ㄐㄧㄝ1" - ], - "鞃": [ - "ㄏㄨㄥ2" - ], - "鞄": [ - "ㄆㄠ2" - ], - "鞅": [ - "ㄧㄤ1", - "ㄧㄤ4", - "ㄧㄤ3" - ], - "鞆": [ - "ㄅㄧㄥ3" - ], - "鞇": [ - "ㄧㄣ1" - ], - "鞈": [ - "ㄍㄜ2", - "ㄙㄚ3", - "ㄊㄚ4" - ], - "鞉": [ - "ㄊㄠ2" - ], - "鞊": [ - "ㄐㄧㄝ2", - "ㄐㄧ2" - ], - "鞋": [ - "ㄒㄧㄝ2", - "ㄨㄚ1" - ], - "鞌": [ - "ㄢ1" - ], - "鞍": [ - "ㄢ1" - ], - "鞎": [ - "ㄏㄣ2" - ], - "鞏": [ - "ㄍㄨㄥ3" - ], - "鞐": [ - "ㄑㄧㄚ3" - ], - "鞑": [ - "ㄉㄚ2" - ], - "鞒": [ - "ㄑㄧㄠ2" - ], - "鞓": [ - "ㄊㄧㄥ1" - ], - "鞔": [ - "ㄇㄢ2", - "ㄇㄣ4" - ], - "鞕": [ - "ㄧㄥ4", - "ㄅㄧㄢ1" - ], - "鞖": [ - "ㄙㄨㄟ1" - ], - "鞗": [ - "ㄊㄧㄠ2" - ], - "鞘": [ - "ㄑㄧㄠ4", - "ㄕㄠ1" - ], - "鞙": [ - "ㄒㄩㄢ4", - "ㄐㄩㄢ1" - ], - "鞚": [ - "ㄎㄨㄥ4" - ], - "鞛": [ - "ㄅㄥ3" - ], - "鞜": [ - "ㄊㄚ4" - ], - "鞝": [ - "ㄕㄤ4", - "ㄓㄤ3" - ], - "鞞": [ - "ㄅㄧㄥ3", - "ㄅㄧ4", - "ㄆㄧ2", - "ㄅㄟ1" - ], - "鞟": [ - "ㄎㄨㄛ4" - ], - "鞠": [ - "ㄐㄩ1", - "ㄑㄩ1", - "ㄑㄩㄥ1" - ], - "鞡": [ - "ㄌㄚ5" - ], - "鞢": [ - "ㄒㄧㄝ4", - "ㄓㄚ2", - "ㄉㄧㄝ2" - ], - "鞣": [ - "ㄖㄡ2" - ], - "鞤": [ - "ㄅㄤ1" - ], - "鞥": [ - "ㄥ1" - ], - "鞦": [ - "ㄑㄧㄡ1" - ], - "鞧": [ - "ㄑㄧㄡ1" - ], - "鞨": [ - "ㄏㄜ2", - "ㄕㄜ2", - "ㄇㄛ4" - ], - "鞩": [ - "ㄑㄧㄠ4" - ], - "鞪": [ - "ㄇㄨ4", - "ㄇㄡ2" - ], - "鞫": [ - "ㄐㄩ1", - "ㄑㄩ1" - ], - "鞬": [ - "ㄐㄧㄢ1", - "ㄐㄧㄢ4" - ], - "鞭": [ - "ㄅㄧㄢ1" - ], - "鞮": [ - "ㄉㄧ1" - ], - "鞯": [ - "ㄐㄧㄢ1" - ], - "鞰": [ - "ㄨㄣ1" - ], - "鞱": [ - "ㄊㄠ1" - ], - "鞲": [ - "ㄍㄡ1" - ], - "鞳": [ - "ㄊㄚ4" - ], - "鞴": [ - "ㄅㄟ4", - "ㄈㄨ2", - "ㄅㄨ4", - "ㄅㄞ4" - ], - "鞵": [ - "ㄒㄧㄝ2" - ], - "鞶": [ - "ㄆㄢ2" - ], - "鞷": [ - "ㄍㄜ2" - ], - "鞸": [ - "ㄅㄧ4", - "ㄅㄧㄥ3" - ], - "鞹": [ - "ㄎㄨㄛ4" - ], - "鞺": [ - "ㄊㄤ1" - ], - "鞻": [ - "ㄌㄡ2" - ], - "鞼": [ - "ㄍㄨㄟ4", - "ㄏㄨㄟ4" - ], - "鞽": [ - "ㄑㄧㄠ2", - "ㄑㄧㄠ1", - "ㄐㄩㄝ1" - ], - "鞾": [ - "ㄒㄩㄝ1" - ], - "鞿": [ - "ㄐㄧ1" - ], - "韀": [ - "ㄐㄧㄢ1" - ], - "韁": [ - "ㄐㄧㄤ1" - ], - "韂": [ - "ㄔㄢ4" - ], - "韃": [ - "ㄉㄚ2", - "ㄊㄚ4" - ], - "韄": [ - "ㄏㄨ4" - ], - "韅": [ - "ㄒㄧㄢ3" - ], - "韆": [ - "ㄑㄧㄢ1" - ], - "韇": [ - "ㄉㄨ2" - ], - "韈": [ - "ㄨㄚ4" - ], - "韉": [ - "ㄐㄧㄢ1" - ], - "韊": [ - "ㄌㄢ2" - ], - "韋": [ - "ㄨㄟ2", - "ㄏㄨㄟ2" - ], - "韌": [ - "ㄖㄣ4" - ], - "韍": [ - "ㄈㄨ2" - ], - "韎": [ - "ㄇㄟ4" - ], - "韏": [ - "ㄑㄩㄢ4", - "ㄐㄩㄢ4" - ], - "韐": [ - "ㄍㄜ2" - ], - "韑": [ - "ㄨㄟ3" - ], - "韒": [ - "ㄑㄧㄠ4", - "ㄕㄠ1" - ], - "韓": [ - "ㄏㄢ2" - ], - "韔": [ - "ㄔㄤ4" - ], - "韕": [ - "ㄎㄨㄛ4" - ], - "韖": [ - "ㄖㄡ3" - ], - "韗": [ - "ㄩㄣ4" - ], - "韘": [ - "ㄕㄜ4" - ], - "韙": [ - "ㄨㄟ3" - ], - "韚": [ - "ㄍㄜ2" - ], - "韛": [ - "ㄅㄞ4", - "ㄈㄨ2" - ], - "韜": [ - "ㄊㄠ1", - "ㄊㄠ4" - ], - "韝": [ - "ㄍㄡ1" - ], - "韞": [ - "ㄩㄣ4", - "ㄨㄣ1" - ], - "韟": [ - "ㄍㄠ1" - ], - "韠": [ - "ㄅㄧ4" - ], - "韡": [ - "ㄨㄟ3", - "ㄒㄩㄝ1" - ], - "韢": [ - "ㄙㄨㄟ4", - "ㄏㄨㄟ4" - ], - "韣": [ - "ㄉㄨ2" - ], - "韤": [ - "ㄨㄚ4" - ], - "韥": [ - "ㄉㄨ2" - ], - "韦": [ - "ㄨㄟ2" - ], - "韧": [ - "ㄖㄣ4" - ], - "韨": [ - "ㄈㄨ2" - ], - "韩": [ - "ㄏㄢ2" - ], - "韪": [ - "ㄨㄟ3" - ], - "韫": [ - "ㄩㄣ4" - ], - "韬": [ - "ㄊㄠ1" - ], - "韭": [ - "ㄐㄧㄡ3" - ], - "韮": [ - "ㄐㄧㄡ3" - ], - "韯": [ - "ㄒㄧㄢ1" - ], - "韰": [ - "ㄒㄧㄝ4" - ], - "韱": [ - "ㄒㄧㄢ1" - ], - "韲": [ - "ㄐㄧ1" - ], - "音": [ - "ㄧㄣ1" - ], - "韴": [ - "ㄗㄚ2" - ], - "韵": [ - "ㄩㄣ4" - ], - "韶": [ - "ㄕㄠ2" - ], - "韷": [ - "ㄌㄜ4" - ], - "韸": [ - "ㄆㄥ2" - ], - "韹": [ - "ㄏㄨㄤ2", - "ㄧㄥ1" - ], - "韺": [ - "ㄧㄥ1" - ], - "韻": [ - "ㄩㄣ4" - ], - "韼": [ - "ㄆㄥ2" - ], - "韽": [ - "ㄢ1" - ], - "韾": [ - "ㄧㄣ1" - ], - "響": [ - "ㄒㄧㄤ3" - ], - "頀": [ - "ㄏㄨ4" - ], - "頁": [ - "ㄧㄝ4", - "ㄒㄧㄝ2" - ], - "頂": [ - "ㄉㄧㄥ3" - ], - "頃": [ - "ㄑㄧㄥ3", - "ㄑㄧㄥ1", - "ㄎㄨㄟ3" - ], - "頄": [ - "ㄎㄨㄟ2" - ], - "項": [ - "ㄒㄧㄤ4" - ], - "順": [ - "ㄕㄨㄣ4" - ], - "頇": [ - "ㄏㄢ1", - "ㄢ4" - ], - "須": [ - "ㄒㄩ1" - ], - "頉": [ - "ㄧ2" - ], - "頊": [ - "ㄒㄩ1" - ], - "頋": [ - "ㄜ3" - ], - "頌": [ - "ㄙㄨㄥ4", - "ㄖㄨㄥ2" - ], - "頍": [ - "ㄎㄨㄟ3" - ], - "頎": [ - "ㄑㄧ2", - "ㄎㄣ3" - ], - "頏": [ - "ㄏㄤ2", - "ㄍㄤ1", - "ㄏㄤ4" - ], - "預": [ - "ㄩ4" - ], - "頑": [ - "ㄨㄢ2", - "ㄎㄨㄣ1" - ], - "頒": [ - "ㄅㄢ1", - "ㄈㄣ2" - ], - "頓": [ - "ㄉㄨㄣ4", - "ㄉㄨ2" - ], - "頔": [ - "ㄉㄧ2" - ], - "頕": [ - "ㄉㄢ1", - "ㄉㄧㄢ4" - ], - "頖": [ - "ㄆㄢ4" - ], - "頗": [ - "ㄆㄛ1", - "ㄆㄛ3", - "ㄆㄛ4", - "ㄆㄧ2" - ], - "領": [ - "ㄌㄧㄥ3" - ], - "頙": [ - "ㄔㄜ4" - ], - "頚": [ - "ㄐㄧㄥ3" - ], - "頛": [ - "ㄌㄟ4" - ], - "頜": [ - "ㄏㄜ2", - "ㄏㄢ2", - "ㄑㄧㄣ1", - "ㄍㄜ2" - ], - "頝": [ - "ㄑㄧㄠ1" - ], - "頞": [ - "ㄜ4", - "ㄢ4" - ], - "頟": [ - "ㄜ2" - ], - "頠": [ - "ㄨㄟ3" - ], - "頡": [ - "ㄒㄧㄝ2", - "ㄐㄧㄚ2", - "ㄐㄧㄝ2" - ], - "頢": [ - "ㄎㄨㄛ4" - ], - "頣": [ - "ㄕㄣ3" - ], - "頤": [ - "ㄧ2" - ], - "頥": [ - "ㄧ2" - ], - "頦": [ - "ㄏㄞ2", - "ㄎㄜ1", - "ㄎㄜ2" - ], - "頧": [ - "ㄉㄨㄟ3", - "ㄉㄨㄟ1" - ], - "頨": [ - "ㄩ3", - "ㄅㄧㄢ4" - ], - "頩": [ - "ㄆㄧㄥ1", - "ㄆㄧㄥ3" - ], - "頪": [ - "ㄌㄟ4" - ], - "頫": [ - "ㄈㄨ3", - "ㄊㄠ1", - "ㄊㄧㄠ4" - ], - "頬": [ - "ㄐㄧㄚ2" - ], - "頭": [ - "ㄊㄡ2", - "ㄊㄡ5" - ], - "頮": [ - "ㄏㄨㄟ4" - ], - "頯": [ - "ㄎㄨㄟ2" - ], - "頰": [ - "ㄐㄧㄚ2" - ], - "頱": [ - "ㄌㄨㄛ1" - ], - "頲": [ - "ㄊㄧㄥ3" - ], - "頳": [ - "ㄔㄥ1" - ], - "頴": [ - "ㄧㄥ3", - "ㄐㄧㄥ3" - ], - "頵": [ - "ㄩㄣ1" - ], - "頶": [ - "ㄏㄨ2" - ], - "頷": [ - "ㄏㄢ4" - ], - "頸": [ - "ㄐㄧㄥ3", - "ㄍㄥ3" - ], - "頹": [ - "ㄊㄨㄟ2" - ], - "頺": [ - "ㄊㄨㄟ2" - ], - "頻": [ - "ㄆㄧㄣ2", - "ㄅㄧㄣ1" - ], - "頼": [ - "ㄌㄞ4" - ], - "頽": [ - "ㄊㄨㄟ2" - ], - "頾": [ - "ㄗ1" - ], - "頿": [ - "ㄗ1" - ], - "顀": [ - "ㄔㄨㄟ2" - ], - "顁": [ - "ㄉㄧㄥ4", - "ㄉㄧㄥ3" - ], - "顂": [ - "ㄌㄞ4", - "ㄌㄞ2" - ], - "顃": [ - "ㄊㄢ2", - "ㄕㄢ3" - ], - "顄": [ - "ㄏㄢ4" - ], - "顅": [ - "ㄑㄧㄢ1" - ], - "顆": [ - "ㄎㄜ1", - "ㄎㄜ3", - "ㄎㄨㄢ3" - ], - "顇": [ - "ㄘㄨㄟ4", - "ㄗㄨ2" - ], - "顈": [ - "ㄒㄩㄢ3", - "ㄐㄩㄥ1", - "ㄐㄩㄥ3", - "ㄒㄧㄢ4" - ], - "顉": [ - "ㄑㄧㄣ1" - ], - "顊": [ - "ㄧ2" - ], - "顋": [ - "ㄙㄞ1" - ], - "題": [ - "ㄊㄧ2", - "ㄉㄧ4" - ], - "額": [ - "ㄜ2" - ], - "顎": [ - "ㄜ4" - ], - "顏": [ - "ㄧㄢ2" - ], - "顐": [ - "ㄨㄣ4", - "ㄏㄨㄣ2", - "ㄏㄨㄣ4" - ], - "顑": [ - "ㄎㄢ3", - "ㄧㄢ4" - ], - "顒": [ - "ㄩㄥ2", - "ㄩ2" - ], - "顓": [ - "ㄓㄨㄢ1" - ], - "顔": [ - "ㄧㄢ2", - "ㄧㄚ2" - ], - "顕": [ - "ㄒㄧㄢ3" - ], - "顖": [ - "ㄒㄧㄣ4" - ], - "顗": [ - "ㄧ3" - ], - "願": [ - "ㄩㄢ4", - "ㄩㄢ3" - ], - "顙": [ - "ㄙㄤ3" - ], - "顚": [ - "ㄉㄧㄢ1", - "ㄊㄧㄢ2", - "ㄊㄧㄢ4" - ], - "顛": [ - "ㄉㄧㄢ1" - ], - "顜": [ - "ㄐㄧㄤ3" - ], - "顝": [ - "ㄎㄨㄟ1", - "ㄎㄨㄚ3" - ], - "類": [ - "ㄌㄟ4" - ], - "顟": [ - "ㄌㄠ2" - ], - "顠": [ - "ㄆㄧㄠ3" - ], - "顡": [ - "ㄨㄞ4", - "ㄓㄨㄞ4" - ], - "顢": [ - "ㄇㄢ2" - ], - "顣": [ - "ㄘㄨ4" - ], - "顤": [ - "ㄧㄠ2", - "ㄑㄧㄠ4" - ], - "顥": [ - "ㄏㄠ4" - ], - "顦": [ - "ㄑㄧㄠ2" - ], - "顧": [ - "ㄍㄨ4" - ], - "顨": [ - "ㄒㄩㄣ4" - ], - "顩": [ - "ㄧㄢ3", - "ㄑㄧㄣ4", - "ㄏㄢ4", - "ㄑㄧㄢ3" - ], - "顪": [ - "ㄏㄨㄟ4" - ], - "顫": [ - "ㄔㄢ4", - "ㄓㄢ4", - "ㄕㄢ1" - ], - "顬": [ - "ㄖㄨ2" - ], - "顭": [ - "ㄇㄥ2" - ], - "顮": [ - "ㄅㄧㄣ1" - ], - "顯": [ - "ㄒㄧㄢ3", - "ㄒㄧㄢ4" - ], - "顰": [ - "ㄆㄧㄣ2" - ], - "顱": [ - "ㄌㄨ2" - ], - "顲": [ - "ㄌㄢ3", - "ㄌㄧㄣ3" - ], - "顳": [ - "ㄋㄧㄝ4" - ], - "顴": [ - "ㄑㄩㄢ2" - ], - "页": [ - "ㄧㄝ4" - ], - "顶": [ - "ㄉㄧㄥ3" - ], - "顷": [ - "ㄑㄧㄥ3" - ], - "顸": [ - "ㄏㄢ1" - ], - "项": [ - "ㄒㄧㄤ4" - ], - "顺": [ - "ㄕㄨㄣ4" - ], - "须": [ - "ㄒㄩ1" - ], - "顼": [ - "ㄒㄩ1" - ], - "顽": [ - "ㄨㄢ2" - ], - "顾": [ - "ㄍㄨ4" - ], - "顿": [ - "ㄉㄨㄣ4", - "ㄉㄨ2" - ], - "颀": [ - "ㄑㄧ2" - ], - "颁": [ - "ㄅㄢ1" - ], - "颂": [ - "ㄙㄨㄥ4" - ], - "颃": [ - "ㄏㄤ2" - ], - "预": [ - "ㄩ4" - ], - "颅": [ - "ㄌㄨ2" - ], - "领": [ - "ㄌㄧㄥ3" - ], - "颇": [ - "ㄆㄛ3", - "ㄆㄛ1" - ], - "颈": [ - "ㄐㄧㄥ3", - "ㄍㄥ3" - ], - "颉": [ - "ㄐㄧㄝ2", - "ㄒㄧㄝ2" - ], - "颊": [ - "ㄐㄧㄚ2" - ], - "颋": [ - "ㄊㄧㄥ3" - ], - "颌": [ - "ㄏㄜ2", - "ㄍㄜ2" - ], - "颍": [ - "ㄧㄥ3" - ], - "颎": [ - "ㄐㄩㄥ3" - ], - "颏": [ - "ㄎㄜ1", - "ㄎㄜ2" - ], - "颐": [ - "ㄧ2" - ], - "频": [ - "ㄆㄧㄣ2" - ], - "颒": [ - "ㄏㄨㄟ4" - ], - "颓": [ - "ㄊㄨㄟ2" - ], - "颔": [ - "ㄏㄢ4" - ], - "颕": [ - "ㄧㄥ3" - ], - "颖": [ - "ㄧㄥ3" - ], - "颗": [ - "ㄎㄜ1" - ], - "题": [ - "ㄊㄧ2" - ], - "颙": [ - "ㄩㄥ2" - ], - "颚": [ - "ㄜ4" - ], - "颛": [ - "ㄓㄨㄢ1" - ], - "颜": [ - "ㄧㄢ2" - ], - "额": [ - "ㄜ2" - ], - "颞": [ - "ㄋㄧㄝ4" - ], - "颟": [ - "ㄇㄢ1" - ], - "颠": [ - "ㄉㄧㄢ1" - ], - "颡": [ - "ㄙㄤ3" - ], - "颢": [ - "ㄏㄠ4" - ], - "颣": [ - "ㄌㄟ4" - ], - "颤": [ - "ㄔㄢ4", - "ㄓㄢ4" - ], - "颥": [ - "ㄖㄨ2" - ], - "颦": [ - "ㄆㄧㄣ2" - ], - "颧": [ - "ㄑㄩㄢ2" - ], - "風": [ - "ㄈㄥ1", - "ㄈㄥ4", - "ㄈㄥ3" - ], - "颩": [ - "ㄅㄧㄠ1", - "ㄉㄧㄡ1" - ], - "颪": [ - "ㄍㄨㄚ1" - ], - "颫": [ - "ㄈㄨ2" - ], - "颬": [ - "ㄒㄧㄚ1" - ], - "颭": [ - "ㄓㄢ3" - ], - "颮": [ - "ㄅㄧㄠ1", - "ㄆㄠ2" - ], - "颯": [ - "ㄙㄚ4", - "ㄌㄧ4" - ], - "颰": [ - "ㄅㄚ2", - "ㄈㄨ2" - ], - "颱": [ - "ㄊㄞ2" - ], - "颲": [ - "ㄌㄧㄝ4" - ], - "颳": [ - "ㄍㄨㄚ1", - "ㄐㄧ3" - ], - "颴": [ - "ㄒㄩㄢ4" - ], - "颵": [ - "ㄕㄠ1", - "ㄒㄧㄠ1" - ], - "颶": [ - "ㄐㄩ4" - ], - "颷": [ - "ㄅㄧㄠ1" - ], - "颸": [ - "ㄙ1" - ], - "颹": [ - "ㄨㄟ3" - ], - "颺": [ - "ㄧㄤ2" - ], - "颻": [ - "ㄧㄠ2", - "ㄧㄠ4" - ], - "颼": [ - "ㄙㄡ1" - ], - "颽": [ - "ㄎㄞ3" - ], - "颾": [ - "ㄙㄡ1", - "ㄙㄠ1" - ], - "颿": [ - "ㄈㄢ1" - ], - "飀": [ - "ㄌㄧㄡ2" - ], - "飁": [ - "ㄒㄧ2" - ], - "飂": [ - "ㄌㄧㄡ4", - "ㄌㄧㄠ2" - ], - "飃": [ - "ㄆㄧㄠ1", - "ㄆㄧㄠ4" - ], - "飄": [ - "ㄆㄧㄠ1" - ], - "飅": [ - "ㄌㄧㄡ2" - ], - "飆": [ - "ㄅㄧㄠ1" - ], - "飇": [ - "ㄅㄧㄠ1" - ], - "飈": [ - "ㄅㄧㄠ1" - ], - "飉": [ - "ㄌㄧㄠ2" - ], - "飊": [ - "ㄅㄧㄠ1" - ], - "飋": [ - "ㄙㄜ4" - ], - "飌": [ - "ㄈㄥ1" - ], - "飍": [ - "ㄒㄧㄡ1" - ], - "风": [ - "ㄈㄥ1" - ], - "飏": [ - "ㄧㄤ2" - ], - "飐": [ - "ㄓㄢ3" - ], - "飑": [ - "ㄅㄧㄠ1" - ], - "飒": [ - "ㄙㄚ4" - ], - "飓": [ - "ㄐㄩ4" - ], - "飔": [ - "ㄙ1" - ], - "飕": [ - "ㄙㄡ1" - ], - "飖": [ - "ㄧㄠ2" - ], - "飗": [ - "ㄌㄧㄡ2" - ], - "飘": [ - "ㄆㄧㄠ1" - ], - "飙": [ - "ㄅㄧㄠ1" - ], - "飚": [ - "ㄅㄧㄠ1" - ], - "飛": [ - "ㄈㄟ1" - ], - "飜": [ - "ㄈㄢ1" - ], - "飝": [ - "ㄈㄟ1" - ], - "飞": [ - "ㄈㄟ1" - ], - "食": [ - "ㄕ2", - "ㄙ4", - "ㄧ4" - ], - "飠": [ - "ㄕ2" - ], - "飡": [ - "ㄘㄢ1" - ], - "飢": [ - "ㄐㄧ1" - ], - "飣": [ - "ㄉㄧㄥ4" - ], - "飤": [ - "ㄙ4" - ], - "飥": [ - "ㄊㄨㄛ1" - ], - "飦": [ - "ㄓㄢ1", - "ㄍㄢ1" - ], - "飧": [ - "ㄙㄨㄣ1" - ], - "飨": [ - "ㄒㄧㄤ3" - ], - "飩": [ - "ㄊㄨㄣ2", - "ㄓㄨㄣ4" - ], - "飪": [ - "ㄖㄣ4" - ], - "飫": [ - "ㄩ4" - ], - "飬": [ - "ㄐㄩㄢ4", - "ㄩㄥ3" - ], - "飭": [ - "ㄔ4", - "ㄕ4" - ], - "飮": [ - "ㄧㄣ3" - ], - "飯": [ - "ㄈㄢ4" - ], - "飰": [ - "ㄈㄢ4" - ], - "飱": [ - "ㄙㄨㄣ1", - "ㄘㄢ1" - ], - "飲": [ - "ㄧㄣ3", - "ㄧㄣ4" - ], - "飳": [ - "ㄊㄡ3", - "ㄓㄨ4" - ], - "飴": [ - "ㄧ2", - "ㄙ4" - ], - "飵": [ - "ㄗㄨㄛ4", - "ㄗㄜ2" - ], - "飶": [ - "ㄅㄧ4" - ], - "飷": [ - "ㄐㄧㄝ3" - ], - "飸": [ - "ㄊㄠ1" - ], - "飹": [ - "ㄅㄠ3" - ], - "飺": [ - "ㄘ2" - ], - "飻": [ - "ㄊㄧㄝ4" - ], - "飼": [ - "ㄙ4" - ], - "飽": [ - "ㄅㄠ3" - ], - "飾": [ - "ㄕ4", - "ㄔ4" - ], - "飿": [ - "ㄉㄨㄛ4" - ], - "餀": [ - "ㄏㄞ4" - ], - "餁": [ - "ㄖㄣ4" - ], - "餂": [ - "ㄊㄧㄢ3", - "ㄊㄧㄢ2" - ], - "餃": [ - "ㄐㄧㄠ3", - "ㄐㄧㄠ4" - ], - "餄": [ - "ㄐㄧㄚ2", - "ㄏㄜ2" - ], - "餅": [ - "ㄅㄧㄥ3" - ], - "餆": [ - "ㄧㄠ2" - ], - "餇": [ - "ㄊㄨㄥ2" - ], - "餈": [ - "ㄘ2" - ], - "餉": [ - "ㄒㄧㄤ3" - ], - "養": [ - "ㄧㄤ3", - "ㄧㄤ4" - ], - "餋": [ - "ㄐㄩㄢ4" - ], - "餌": [ - "ㄦ3" - ], - "餍": [ - "ㄧㄢ4" - ], - "餎": [ - "ㄌㄜ5" - ], - "餏": [ - "ㄒㄧ1" - ], - "餐": [ - "ㄘㄢ1", - "ㄙㄨㄣ1" - ], - "餑": [ - "ㄅㄛ1" - ], - "餒": [ - "ㄋㄟ3" - ], - "餓": [ - "ㄜ4" - ], - "餔": [ - "ㄅㄨ4", - "ㄅㄨ1" - ], - "餕": [ - "ㄐㄩㄣ4" - ], - "餖": [ - "ㄉㄡ4" - ], - "餗": [ - "ㄙㄨ4" - ], - "餘": [ - "ㄩ2", - "ㄧㄝ2" - ], - "餙": [ - "ㄕ4", - "ㄒㄧ1" - ], - "餚": [ - "ㄧㄠ2" - ], - "餛": [ - "ㄏㄨㄣ2", - "ㄎㄨㄣ1" - ], - "餜": [ - "ㄍㄨㄛ3" - ], - "餝": [ - "ㄕ4" - ], - "餞": [ - "ㄐㄧㄢ4" - ], - "餟": [ - "ㄓㄨㄟ4" - ], - "餠": [ - "ㄅㄧㄥ3" - ], - "餡": [ - "ㄒㄧㄢ4", - "ㄎㄢ4" - ], - "餢": [ - "ㄅㄨ4" - ], - "餣": [ - "ㄧㄝ4" - ], - "餤": [ - "ㄊㄢ2", - "ㄉㄢ4" - ], - "餥": [ - "ㄈㄟ1" - ], - "餦": [ - "ㄓㄤ1" - ], - "餧": [ - "ㄨㄟ4", - "ㄋㄟ3" - ], - "館": [ - "ㄍㄨㄢ3" - ], - "餩": [ - "ㄜ4" - ], - "餪": [ - "ㄋㄨㄢ3", - "ㄋㄨㄢ4" - ], - "餫": [ - "ㄩㄣ4", - "ㄏㄨㄣ2" - ], - "餬": [ - "ㄏㄨ2" - ], - "餭": [ - "ㄏㄨㄤ2" - ], - "餮": [ - "ㄊㄧㄝ4" - ], - "餯": [ - "ㄏㄨㄟ4" - ], - "餰": [ - "ㄐㄧㄢ1", - "ㄓㄢ1" - ], - "餱": [ - "ㄏㄡ2" - ], - "餲": [ - "ㄞ4", - "ㄏㄜ2" - ], - "餳": [ - "ㄊㄤ2", - "ㄒㄧㄥ2" - ], - "餴": [ - "ㄈㄣ1" - ], - "餵": [ - "ㄨㄟ4" - ], - "餶": [ - "ㄍㄨ3" - ], - "餷": [ - "ㄔㄚ1" - ], - "餸": [ - "ㄙㄨㄥ4" - ], - "餹": [ - "ㄊㄤ2" - ], - "餺": [ - "ㄅㄛ2" - ], - "餻": [ - "ㄍㄠ1" - ], - "餼": [ - "ㄒㄧ4" - ], - "餽": [ - "ㄎㄨㄟ4" - ], - "餾": [ - "ㄌㄧㄡ4", - "ㄌㄧㄡ2" - ], - "餿": [ - "ㄙㄡ1" - ], - "饀": [ - "ㄊㄠ2", - "ㄊㄠ1", - "ㄒㄧㄢ4" - ], - "饁": [ - "ㄧㄝ4" - ], - "饂": [ - "ㄨㄣ1" - ], - "饃": [ - "ㄇㄛ2" - ], - "饄": [ - "ㄊㄤ2" - ], - "饅": [ - "ㄇㄢ2" - ], - "饆": [ - "ㄅㄧ4" - ], - "饇": [ - "ㄩ4" - ], - "饈": [ - "ㄒㄧㄡ1" - ], - "饉": [ - "ㄐㄧㄣ3" - ], - "饊": [ - "ㄙㄢ3" - ], - "饋": [ - "ㄎㄨㄟ4", - "ㄊㄨㄟ2" - ], - "饌": [ - "ㄓㄨㄢ4", - "ㄒㄩㄢ3" - ], - "饍": [ - "ㄕㄢ4" - ], - "饎": [ - "ㄔ4" - ], - "饏": [ - "ㄉㄢ4" - ], - "饐": [ - "ㄧ4", - "ㄧㄝ1", - "ㄣ4" - ], - "饑": [ - "ㄐㄧ1", - "ㄑㄧ2" - ], - "饒": [ - "ㄖㄠ2" - ], - "饓": [ - "ㄔㄥ1" - ], - "饔": [ - "ㄩㄥ1" - ], - "饕": [ - "ㄊㄠ1" - ], - "饖": [ - "ㄨㄟ4" - ], - "饗": [ - "ㄒㄧㄤ3" - ], - "饘": [ - "ㄓㄢ1" - ], - "饙": [ - "ㄈㄣ1" - ], - "饚": [ - "ㄏㄞ4" - ], - "饛": [ - "ㄇㄥ2" - ], - "饜": [ - "ㄧㄢ4" - ], - "饝": [ - "ㄇㄛ2" - ], - "饞": [ - "ㄔㄢ2" - ], - "饟": [ - "ㄒㄧㄤ3" - ], - "饠": [ - "ㄌㄨㄛ2" - ], - "饡": [ - "ㄗㄢ4" - ], - "饢": [ - "ㄋㄤ2", - "ㄋㄤ3" - ], - "饣": [ - "ㄕ2" - ], - "饤": [ - "ㄉㄧㄥ4" - ], - "饥": [ - "ㄐㄧ1" - ], - "饦": [ - "ㄊㄨㄛ1" - ], - "饧": [ - "ㄊㄤ2", - "ㄒㄧㄥ2" - ], - "饨": [ - "ㄊㄨㄣ2" - ], - "饩": [ - "ㄒㄧ4" - ], - "饪": [ - "ㄖㄣ4" - ], - "饫": [ - "ㄩ4" - ], - "饬": [ - "ㄔ4" - ], - "饭": [ - "ㄈㄢ4" - ], - "饮": [ - "ㄧㄣ3", - "ㄧㄣ4" - ], - "饯": [ - "ㄐㄧㄢ4" - ], - "饰": [ - "ㄕ4" - ], - "饱": [ - "ㄅㄠ3" - ], - "饲": [ - "ㄙ4" - ], - "饳": [ - "ㄉㄨㄛ4" - ], - "饴": [ - "ㄧ2" - ], - "饵": [ - "ㄦ3" - ], - "饶": [ - "ㄖㄠ2" - ], - "饷": [ - "ㄒㄧㄤ3" - ], - "饸": [ - "ㄏㄜ2" - ], - "饹": [ - "ㄌㄜ5", - "ㄍㄜ1" - ], - "饺": [ - "ㄐㄧㄠ3" - ], - "饻": [ - "ㄒㄧ1" - ], - "饼": [ - "ㄅㄧㄥ3" - ], - "饽": [ - "ㄅㄛ1" - ], - "饾": [ - "ㄉㄡ4" - ], - "饿": [ - "ㄜ4" - ], - "馀": [ - "ㄩ2" - ], - "馁": [ - "ㄋㄟ3" - ], - "馂": [ - "ㄐㄩㄣ4" - ], - "馃": [ - "ㄍㄨㄛ3" - ], - "馄": [ - "ㄏㄨㄣ2" - ], - "馅": [ - "ㄒㄧㄢ4" - ], - "馆": [ - "ㄍㄨㄢ3" - ], - "馇": [ - "ㄔㄚ1", - "ㄓㄚ5" - ], - "馈": [ - "ㄎㄨㄟ4" - ], - "馉": [ - "ㄍㄨ3" - ], - "馊": [ - "ㄙㄡ1" - ], - "馋": [ - "ㄔㄢ2" - ], - "馌": [ - "ㄧㄝ4" - ], - "馍": [ - "ㄇㄛ2" - ], - "馎": [ - "ㄅㄛ2" - ], - "馏": [ - "ㄌㄧㄡ2", - "ㄌㄧㄡ4" - ], - "馐": [ - "ㄒㄧㄡ1" - ], - "馑": [ - "ㄐㄧㄣ3" - ], - "馒": [ - "ㄇㄢ2" - ], - "馓": [ - "ㄙㄢ3" - ], - "馔": [ - "ㄓㄨㄢ4" - ], - "馕": [ - "ㄋㄤ2", - "ㄋㄤ3" - ], - "首": [ - "ㄕㄡ3" - ], - "馗": [ - "ㄎㄨㄟ2", - "ㄑㄧㄡ2" - ], - "馘": [ - "ㄍㄨㄛ2", - "ㄒㄩ4" - ], - "香": [ - "ㄒㄧㄤ1" - ], - "馚": [ - "ㄈㄣ2" - ], - "馛": [ - "ㄅㄛ2" - ], - "馜": [ - "ㄋㄧ3" - ], - "馝": [ - "ㄅㄧ4" - ], - "馞": [ - "ㄅㄛ2", - "ㄆㄛ4" - ], - "馟": [ - "ㄊㄨ2" - ], - "馠": [ - "ㄏㄢ1" - ], - "馡": [ - "ㄈㄟ1" - ], - "馢": [ - "ㄐㄧㄢ1" - ], - "馣": [ - "ㄢ1" - ], - "馤": [ - "ㄞ4" - ], - "馥": [ - "ㄈㄨ4", - "ㄅㄧ4" - ], - "馦": [ - "ㄒㄧㄢ1" - ], - "馧": [ - "ㄩㄣ1", - "ㄨㄛ4" - ], - "馨": [ - "ㄒㄧㄣ1" - ], - "馩": [ - "ㄈㄣ2" - ], - "馪": [ - "ㄆㄧㄣ1" - ], - "馫": [ - "ㄒㄧㄣ1" - ], - "馬": [ - "ㄇㄚ3" - ], - "馭": [ - "ㄩ4" - ], - "馮": [ - "ㄈㄥ2", - "ㄆㄧㄥ2" - ], - "馯": [ - "ㄏㄢ4", - "ㄑㄧㄢ2", - "ㄏㄢ2" - ], - "馰": [ - "ㄉㄧ2" - ], - "馱": [ - "ㄊㄨㄛ2", - "ㄉㄨㄛ4", - "ㄉㄞ4" - ], - "馲": [ - "ㄓㄜ2", - "ㄊㄨㄛ1" - ], - "馳": [ - "ㄔ2" - ], - "馴": [ - "ㄒㄩㄣ2" - ], - "馵": [ - "ㄓㄨ4" - ], - "馶": [ - "ㄓ1", - "ㄕ4" - ], - "馷": [ - "ㄆㄟ4" - ], - "馸": [ - "ㄒㄧㄣ4", - "ㄐㄧㄣ4" - ], - "馹": [ - "ㄖ4" - ], - "馺": [ - "ㄙㄚ4" - ], - "馻": [ - "ㄩㄣ3" - ], - "馼": [ - "ㄨㄣ2" - ], - "馽": [ - "ㄓ2" - ], - "馾": [ - "ㄉㄢ4", - "ㄉㄢ3" - ], - "馿": [ - "ㄌㄩ2" - ], - "駀": [ - "ㄧㄡ2" - ], - "駁": [ - "ㄅㄛ2" - ], - "駂": [ - "ㄅㄠ3" - ], - "駃": [ - "ㄐㄩㄝ2", - "ㄎㄨㄞ4" - ], - "駄": [ - "ㄊㄨㄛ2" - ], - "駅": [ - "ㄧ4" - ], - "駆": [ - "ㄑㄩ1" - ], - "駇": [ - "ㄨㄣ2" - ], - "駈": [ - "ㄑㄩ1" - ], - "駉": [ - "ㄐㄩㄥ1" - ], - "駊": [ - "ㄆㄛ3" - ], - "駋": [ - "ㄓㄠ1" - ], - "駌": [ - "ㄩㄢ1" - ], - "駍": [ - "ㄆㄟ2", - "ㄆㄥ1" - ], - "駎": [ - "ㄓㄡ4" - ], - "駏": [ - "ㄐㄩ4" - ], - "駐": [ - "ㄓㄨ4" - ], - "駑": [ - "ㄋㄨ2" - ], - "駒": [ - "ㄐㄩ1", - "ㄐㄩ4" - ], - "駓": [ - "ㄆㄧ1" - ], - "駔": [ - "ㄗㄤ3", - "ㄗㄨ4", - "ㄗㄨ3" - ], - "駕": [ - "ㄐㄧㄚ4", - "ㄐㄧㄚ1" - ], - "駖": [ - "ㄌㄧㄥ2" - ], - "駗": [ - "ㄓㄣ3" - ], - "駘": [ - "ㄊㄞ2", - "ㄉㄞ4", - "ㄓㄞ4", - "ㄊㄞ1" - ], - "駙": [ - "ㄈㄨ4" - ], - "駚": [ - "ㄧㄤ3" - ], - "駛": [ - "ㄕ3" - ], - "駜": [ - "ㄅㄧ4" - ], - "駝": [ - "ㄊㄨㄛ2" - ], - "駞": [ - "ㄊㄨㄛ2" - ], - "駟": [ - "ㄙ4" - ], - "駠": [ - "ㄌㄧㄡ2" - ], - "駡": [ - "ㄇㄚ4" - ], - "駢": [ - "ㄆㄧㄢ2" - ], - "駣": [ - "ㄊㄠ2" - ], - "駤": [ - "ㄓ4" - ], - "駥": [ - "ㄖㄨㄥ2" - ], - "駦": [ - "ㄊㄥ2" - ], - "駧": [ - "ㄉㄨㄥ4" - ], - "駨": [ - "ㄒㄩㄣ1", - "ㄒㄩㄢ4" - ], - "駩": [ - "ㄑㄩㄢ1" - ], - "駪": [ - "ㄕㄣ1" - ], - "駫": [ - "ㄐㄩㄥ1" - ], - "駬": [ - "ㄦ3" - ], - "駭": [ - "ㄏㄞ4" - ], - "駮": [ - "ㄅㄛ2" - ], - "駯": [ - "ㄓㄨ1" - ], - "駰": [ - "ㄧㄣ1" - ], - "駱": [ - "ㄌㄨㄛ4", - "ㄐㄧㄚ4" - ], - "駲": [ - "ㄓㄡ1" - ], - "駳": [ - "ㄉㄢ4" - ], - "駴": [ - "ㄏㄞ4" - ], - "駵": [ - "ㄌㄧㄡ2" - ], - "駶": [ - "ㄐㄩ2" - ], - "駷": [ - "ㄙㄨㄥ3" - ], - "駸": [ - "ㄑㄧㄣ1" - ], - "駹": [ - "ㄇㄤ2" - ], - "駺": [ - "ㄌㄤ2", - "ㄌㄧㄤ2" - ], - "駻": [ - "ㄏㄢ4" - ], - "駼": [ - "ㄊㄨ2" - ], - "駽": [ - "ㄒㄩㄢ1" - ], - "駾": [ - "ㄊㄨㄟ4" - ], - "駿": [ - "ㄐㄩㄣ4" - ], - "騀": [ - "ㄜ3", - "ㄜ2" - ], - "騁": [ - "ㄔㄥ3" - ], - "騂": [ - "ㄒㄧㄥ1" - ], - "騃": [ - "ㄞ2", - "ㄙ4", - "ㄊㄞ3" - ], - "騄": [ - "ㄌㄨ4" - ], - "騅": [ - "ㄓㄨㄟ1" - ], - "騆": [ - "ㄓㄡ1", - "ㄉㄨㄥ4" - ], - "騇": [ - "ㄕㄜ4" - ], - "騈": [ - "ㄆㄧㄢ2" - ], - "騉": [ - "ㄎㄨㄣ1" - ], - "騊": [ - "ㄊㄠ2" - ], - "騋": [ - "ㄌㄞ2" - ], - "騌": [ - "ㄗㄨㄥ1" - ], - "騍": [ - "ㄎㄜ4" - ], - "騎": [ - "ㄑㄧ2", - "ㄐㄧ4" - ], - "騏": [ - "ㄑㄧ2" - ], - "騐": [ - "ㄧㄢ4" - ], - "騑": [ - "ㄈㄟ1" - ], - "騒": [ - "ㄙㄠ1" - ], - "験": [ - "ㄧㄢ4" - ], - "騔": [ - "ㄍㄜ2" - ], - "騕": [ - "ㄧㄠ3" - ], - "騖": [ - "ㄨ4" - ], - "騗": [ - "ㄆㄧㄢ4" - ], - "騘": [ - "ㄘㄨㄥ1" - ], - "騙": [ - "ㄆㄧㄢ4" - ], - "騚": [ - "ㄑㄧㄢ2" - ], - "騛": [ - "ㄈㄟ1" - ], - "騜": [ - "ㄏㄨㄤ2" - ], - "騝": [ - "ㄑㄧㄢ2" - ], - "騞": [ - "ㄏㄨㄛ1" - ], - "騟": [ - "ㄩ2" - ], - "騠": [ - "ㄊㄧ2" - ], - "騡": [ - "ㄑㄩㄢ2" - ], - "騢": [ - "ㄒㄧㄚ2" - ], - "騣": [ - "ㄗㄨㄥ1" - ], - "騤": [ - "ㄎㄨㄟ2", - "ㄐㄩㄝ2" - ], - "騥": [ - "ㄖㄡ2" - ], - "騦": [ - "ㄙ1" - ], - "騧": [ - "ㄍㄨㄚ1" - ], - "騨": [ - "ㄊㄨㄛ2" - ], - "騩": [ - "ㄍㄨㄟ1", - "ㄊㄨㄟ2" - ], - "騪": [ - "ㄙㄡ1" - ], - "騫": [ - "ㄑㄧㄢ1", - "ㄐㄧㄢ3" - ], - "騬": [ - "ㄔㄥ2" - ], - "騭": [ - "ㄓ4" - ], - "騮": [ - "ㄌㄧㄡ2" - ], - "騯": [ - "ㄆㄥ2", - "ㄅㄤ3" - ], - "騰": [ - "ㄊㄥ2" - ], - "騱": [ - "ㄒㄧ2" - ], - "騲": [ - "ㄘㄠ3" - ], - "騳": [ - "ㄉㄨ2" - ], - "騴": [ - "ㄧㄢ4" - ], - "騵": [ - "ㄩㄢ2" - ], - "騶": [ - "ㄗㄡ1", - "ㄓㄨ1", - "ㄓㄡ4", - "ㄑㄩ1" - ], - "騷": [ - "ㄙㄠ1", - "ㄙㄠ3", - "ㄒㄧㄠ1" - ], - "騸": [ - "ㄕㄢ4" - ], - "騹": [ - "ㄑㄧ2" - ], - "騺": [ - "ㄓ4", - "ㄔ4" - ], - "騻": [ - "ㄕㄨㄤ1" - ], - "騼": [ - "ㄌㄨ4" - ], - "騽": [ - "ㄒㄧ2" - ], - "騾": [ - "ㄌㄨㄛ2" - ], - "騿": [ - "ㄓㄤ1" - ], - "驀": [ - "ㄇㄛ4", - "ㄇㄚ4" - ], - "驁": [ - "ㄠ4", - "ㄧㄠ4" - ], - "驂": [ - "ㄘㄢ1" - ], - "驃": [ - "ㄅㄧㄠ1", - "ㄆㄧㄠ4" - ], - "驄": [ - "ㄘㄨㄥ1" - ], - "驅": [ - "ㄑㄩ1" - ], - "驆": [ - "ㄅㄧ4" - ], - "驇": [ - "ㄓ4" - ], - "驈": [ - "ㄩ4" - ], - "驉": [ - "ㄒㄩ1" - ], - "驊": [ - "ㄏㄨㄚ2" - ], - "驋": [ - "ㄅㄛ1" - ], - "驌": [ - "ㄙㄨ4" - ], - "驍": [ - "ㄒㄧㄠ1" - ], - "驎": [ - "ㄌㄧㄣ2" - ], - "驏": [ - "ㄓㄢ4" - ], - "驐": [ - "ㄉㄨㄣ1" - ], - "驑": [ - "ㄌㄧㄡ2" - ], - "驒": [ - "ㄊㄨㄛ2" - ], - "驓": [ - "ㄘㄥ2" - ], - "驔": [ - "ㄉㄧㄢ4" - ], - "驕": [ - "ㄐㄧㄠ1", - "ㄒㄧㄠ1", - "ㄐㄩ1", - "ㄑㄧㄠ2" - ], - "驖": [ - "ㄊㄧㄝ3" - ], - "驗": [ - "ㄧㄢ4" - ], - "驘": [ - "ㄌㄨㄛ2" - ], - "驙": [ - "ㄓㄢ1", - "ㄓㄢ4" - ], - "驚": [ - "ㄐㄧㄥ1" - ], - "驛": [ - "ㄧ4" - ], - "驜": [ - "ㄧㄝ4" - ], - "驝": [ - "ㄊㄨㄛ1" - ], - "驞": [ - "ㄆㄧㄣ1" - ], - "驟": [ - "ㄓㄡ4" - ], - "驠": [ - "ㄧㄢ4" - ], - "驡": [ - "ㄌㄨㄥ2", - "ㄗㄤ3" - ], - "驢": [ - "ㄌㄩ2" - ], - "驣": [ - "ㄊㄥ2" - ], - "驤": [ - "ㄒㄧㄤ1" - ], - "驥": [ - "ㄐㄧ4" - ], - "驦": [ - "ㄕㄨㄤ1" - ], - "驧": [ - "ㄐㄩ2" - ], - "驨": [ - "ㄒㄧ2" - ], - "驩": [ - "ㄏㄨㄢ1" - ], - "驪": [ - "ㄌㄧ2", - "ㄔ2" - ], - "驫": [ - "ㄅㄧㄠ1", - "ㄆㄧㄠ1" - ], - "马": [ - "ㄇㄚ3" - ], - "驭": [ - "ㄩ4" - ], - "驮": [ - "ㄊㄨㄛ2", - "ㄉㄨㄛ4" - ], - "驯": [ - "ㄒㄩㄣ4", - "ㄒㄩㄣ2" - ], - "驰": [ - "ㄔ2" - ], - "驱": [ - "ㄑㄩ1" - ], - "驲": [ - "ㄖ4" - ], - "驳": [ - "ㄅㄛ2" - ], - "驴": [ - "ㄌㄩ2" - ], - "驵": [ - "ㄗㄤ3" - ], - "驶": [ - "ㄕ3" - ], - "驷": [ - "ㄙ4" - ], - "驸": [ - "ㄈㄨ4" - ], - "驹": [ - "ㄐㄩ1" - ], - "驺": [ - "ㄗㄡ1" - ], - "驻": [ - "ㄓㄨ4" - ], - "驼": [ - "ㄊㄨㄛ2" - ], - "驽": [ - "ㄋㄨ2" - ], - "驾": [ - "ㄐㄧㄚ4" - ], - "驿": [ - "ㄧ4" - ], - "骀": [ - "ㄉㄞ4", - "ㄊㄞ2" - ], - "骁": [ - "ㄒㄧㄠ1" - ], - "骂": [ - "ㄇㄚ4" - ], - "骃": [ - "ㄧㄣ1" - ], - "骄": [ - "ㄐㄧㄠ1" - ], - "骅": [ - "ㄏㄨㄚ2" - ], - "骆": [ - "ㄌㄨㄛ4" - ], - "骇": [ - "ㄏㄞ4" - ], - "骈": [ - "ㄆㄧㄢ2" - ], - "骉": [ - "ㄅㄧㄠ1" - ], - "骊": [ - "ㄌㄧ2" - ], - "骋": [ - "ㄔㄥ3" - ], - "验": [ - "ㄧㄢ4" - ], - "骍": [ - "ㄒㄧㄥ1" - ], - "骎": [ - "ㄑㄧㄣ1" - ], - "骏": [ - "ㄐㄩㄣ4" - ], - "骐": [ - "ㄑㄧ2" - ], - "骑": [ - "ㄑㄧ2" - ], - "骒": [ - "ㄎㄜ4" - ], - "骓": [ - "ㄓㄨㄟ1" - ], - "骔": [ - "ㄗㄨㄥ1" - ], - "骕": [ - "ㄙㄨ4" - ], - "骖": [ - "ㄘㄢ1" - ], - "骗": [ - "ㄆㄧㄢ4" - ], - "骘": [ - "ㄓ4" - ], - "骙": [ - "ㄎㄨㄟ2" - ], - "骚": [ - "ㄙㄠ1" - ], - "骛": [ - "ㄨ4" - ], - "骜": [ - "ㄠ4" - ], - "骝": [ - "ㄌㄧㄡ2" - ], - "骞": [ - "ㄑㄧㄢ1" - ], - "骟": [ - "ㄕㄢ4" - ], - "骠": [ - "ㄅㄧㄠ1", - "ㄆㄧㄠ4" - ], - "骡": [ - "ㄌㄨㄛ2" - ], - "骢": [ - "ㄘㄨㄥ1" - ], - "骣": [ - "ㄔㄢ3" - ], - "骤": [ - "ㄓㄡ4" - ], - "骥": [ - "ㄐㄧ4" - ], - "骦": [ - "ㄕㄨㄤ1" - ], - "骧": [ - "ㄒㄧㄤ1" - ], - "骨": [ - "ㄍㄨ3", - "ㄍㄨ1", - "ㄍㄨ2" - ], - "骩": [ - "ㄨㄟ3" - ], - "骪": [ - "ㄨㄟ3" - ], - "骫": [ - "ㄨㄟ3", - "ㄨㄢ2" - ], - "骬": [ - "ㄩ2" - ], - "骭": [ - "ㄍㄢ4" - ], - "骮": [ - "ㄧ4" - ], - "骯": [ - "ㄤ1", - "ㄎㄤ3" - ], - "骰": [ - "ㄊㄡ2", - "ㄍㄨ3" - ], - "骱": [ - "ㄐㄧㄝ4", - "ㄐㄧㄚ2", - "ㄒㄧㄝ4" - ], - "骲": [ - "ㄅㄠ4" - ], - "骳": [ - "ㄅㄟ4" - ], - "骴": [ - "ㄘ1", - "ㄓㄞ4" - ], - "骵": [ - "ㄊㄧ3" - ], - "骶": [ - "ㄉㄧ3" - ], - "骷": [ - "ㄎㄨ1" - ], - "骸": [ - "ㄏㄞ2", - "ㄍㄞ1" - ], - "骹": [ - "ㄑㄧㄠ1", - "ㄐㄧㄠ1", - "ㄒㄧㄠ1" - ], - "骺": [ - "ㄏㄡ2" - ], - "骻": [ - "ㄎㄨㄚ4" - ], - "骼": [ - "ㄍㄜ2" - ], - "骽": [ - "ㄊㄨㄟ3" - ], - "骾": [ - "ㄍㄥ3" - ], - "骿": [ - "ㄆㄧㄢ2" - ], - "髀": [ - "ㄅㄧ4" - ], - "髁": [ - "ㄎㄜ1", - "ㄎㄨㄚ4" - ], - "髂": [ - "ㄑㄧㄚ4", - "ㄍㄜ2" - ], - "髃": [ - "ㄩ2" - ], - "髄": [ - "ㄙㄨㄟ3" - ], - "髅": [ - "ㄌㄡ2" - ], - "髆": [ - "ㄅㄛ2", - "ㄆㄛ4" - ], - "髇": [ - "ㄒㄧㄠ1" - ], - "髈": [ - "ㄅㄤ3", - "ㄆㄤ2", - "ㄆㄤ3" - ], - "髉": [ - "ㄅㄛ2", - "ㄐㄩㄝ2" - ], - "髊": [ - "ㄘ1", - "ㄘㄨㄛ1" - ], - "髋": [ - "ㄎㄨㄢ1" - ], - "髌": [ - "ㄅㄧㄣ4" - ], - "髍": [ - "ㄇㄛ2" - ], - "髎": [ - "ㄌㄧㄠ2" - ], - "髏": [ - "ㄌㄡ2" - ], - "髐": [ - "ㄒㄧㄠ1" - ], - "髑": [ - "ㄉㄨ2" - ], - "髒": [ - "ㄗㄤ1", - "ㄗㄤ3" - ], - "髓": [ - "ㄙㄨㄟ3" - ], - "體": [ - "ㄊㄧ3", - "ㄊㄧ1" - ], - "髕": [ - "ㄅㄧㄣ4" - ], - "髖": [ - "ㄎㄨㄢ1" - ], - "髗": [ - "ㄌㄨ2" - ], - "高": [ - "ㄍㄠ1", - "ㄍㄠ4" - ], - "髙": [ - "ㄍㄠ1" - ], - "髚": [ - "ㄑㄧㄠ4" - ], - "髛": [ - "ㄎㄠ1" - ], - "髜": [ - "ㄑㄧㄠ3" - ], - "髝": [ - "ㄌㄠ2" - ], - "髞": [ - "ㄙㄠ4" - ], - "髟": [ - "ㄅㄧㄠ1", - "ㄆㄧㄠ4", - "ㄕㄢ1" - ], - "髠": [ - "ㄎㄨㄣ1" - ], - "髡": [ - "ㄎㄨㄣ1" - ], - "髢": [ - "ㄉㄧ2" - ], - "髣": [ - "ㄈㄤ3" - ], - "髤": [ - "ㄒㄧㄡ1" - ], - "髥": [ - "ㄖㄢ2" - ], - "髦": [ - "ㄇㄠ2" - ], - "髧": [ - "ㄉㄢ4" - ], - "髨": [ - "ㄎㄨㄣ1" - ], - "髩": [ - "ㄅㄧㄣ4" - ], - "髪": [ - "ㄈㄚ4", - "ㄈㄚ3" - ], - "髫": [ - "ㄊㄧㄠ2" - ], - "髬": [ - "ㄆㄧ1" - ], - "髭": [ - "ㄗ1" - ], - "髮": [ - "ㄈㄚ4", - "ㄈㄚ3" - ], - "髯": [ - "ㄖㄢ2" - ], - "髰": [ - "ㄊㄧ4" - ], - "髱": [ - "ㄅㄠ4" - ], - "髲": [ - "ㄅㄧ4" - ], - "髳": [ - "ㄇㄠ2", - "ㄖㄡ2", - "ㄇㄥ2" - ], - "髴": [ - "ㄈㄨ2", - "ㄈㄟ4" - ], - "髵": [ - "ㄦ2" - ], - "髶": [ - "ㄖㄨㄥ2", - "ㄦ4" - ], - "髷": [ - "ㄑㄩ1" - ], - "髸": [ - "ㄍㄨㄥ1" - ], - "髹": [ - "ㄒㄧㄡ1" - ], - "髺": [ - "ㄎㄨㄛ4", - "ㄩㄝ4" - ], - "髻": [ - "ㄐㄧ4", - "ㄐㄧㄝ2" - ], - "髼": [ - "ㄆㄥ2" - ], - "髽": [ - "ㄓㄨㄚ1" - ], - "髾": [ - "ㄕㄠ1", - "ㄕㄠ3", - "ㄕㄠ4" - ], - "髿": [ - "ㄙㄨㄛ1" - ], - "鬀": [ - "ㄊㄧ4" - ], - "鬁": [ - "ㄌㄧ4" - ], - "鬂": [ - "ㄅㄧㄣ4" - ], - "鬃": [ - "ㄗㄨㄥ1" - ], - "鬄": [ - "ㄉㄧ2", - "ㄊㄧ4" - ], - "鬅": [ - "ㄆㄥ2" - ], - "鬆": [ - "ㄙㄨㄥ1", - "ㄙㄨㄥ4", - "ㄙㄨㄥ2" - ], - "鬇": [ - "ㄓㄥ1" - ], - "鬈": [ - "ㄑㄩㄢ2" - ], - "鬉": [ - "ㄗㄨㄥ1" - ], - "鬊": [ - "ㄕㄨㄣ4" - ], - "鬋": [ - "ㄐㄧㄢ3" - ], - "鬌": [ - "ㄊㄨㄛ3", - "ㄔㄨㄟ2", - "ㄉㄨㄛ3" - ], - "鬍": [ - "ㄏㄨ2" - ], - "鬎": [ - "ㄌㄚ4" - ], - "鬏": [ - "ㄐㄧㄡ1" - ], - "鬐": [ - "ㄑㄧ2" - ], - "鬑": [ - "ㄌㄧㄢ2" - ], - "鬒": [ - "ㄓㄣ3" - ], - "鬓": [ - "ㄅㄧㄣ4" - ], - "鬔": [ - "ㄆㄥ2" - ], - "鬕": [ - "ㄇㄚ4" - ], - "鬖": [ - "ㄙㄢ1", - "ㄙㄢ4" - ], - "鬗": [ - "ㄇㄢ2" - ], - "鬘": [ - "ㄇㄢ2" - ], - "鬙": [ - "ㄙㄥ1" - ], - "鬚": [ - "ㄒㄩ1" - ], - "鬛": [ - "ㄌㄧㄝ4" - ], - "鬜": [ - "ㄑㄧㄢ1" - ], - "鬝": [ - "ㄑㄧㄢ1" - ], - "鬞": [ - "ㄋㄤ2", - "ㄋㄤ4" - ], - "鬟": [ - "ㄏㄨㄢ2" - ], - "鬠": [ - "ㄎㄨㄛ4", - "ㄎㄨㄞ4" - ], - "鬡": [ - "ㄋㄧㄥ2" - ], - "鬢": [ - "ㄅㄧㄣ4" - ], - "鬣": [ - "ㄌㄧㄝ4" - ], - "鬤": [ - "ㄖㄤ2", - "ㄋㄧㄥ2" - ], - "鬥": [ - "ㄉㄡ4" - ], - "鬦": [ - "ㄉㄡ4" - ], - "鬧": [ - "ㄋㄠ4" - ], - "鬨": [ - "ㄏㄨㄥ4", - "ㄒㄧㄤ4" - ], - "鬩": [ - "ㄒㄧ4", - "ㄏㄜ4" - ], - "鬪": [ - "ㄉㄡ4" - ], - "鬫": [ - "ㄏㄢ3" - ], - "鬬": [ - "ㄉㄡ4" - ], - "鬭": [ - "ㄉㄡ4" - ], - "鬮": [ - "ㄐㄧㄡ1" - ], - "鬯": [ - "ㄔㄤ4" - ], - "鬰": [ - "ㄩ4" - ], - "鬱": [ - "ㄩ4" - ], - "鬲": [ - "ㄍㄜ2", - "ㄌㄧ4", - "ㄜ4" - ], - "鬳": [ - "ㄧㄢ4" - ], - "鬴": [ - "ㄈㄨ3", - "ㄌㄧ4" - ], - "鬵": [ - "ㄑㄧㄣ2", - "ㄒㄧㄣ2" - ], - "鬶": [ - "ㄍㄨㄟ1" - ], - "鬷": [ - "ㄗㄨㄥ1", - "ㄗㄥ3" - ], - "鬸": [ - "ㄌㄧㄡ4" - ], - "鬹": [ - "ㄍㄨㄟ1", - "ㄒㄧㄝ2" - ], - "鬺": [ - "ㄕㄤ1" - ], - "鬻": [ - "ㄩ4", - "ㄓㄡ1", - "ㄐㄩ1" - ], - "鬼": [ - "ㄍㄨㄟ3" - ], - "鬽": [ - "ㄇㄟ4" - ], - "鬾": [ - "ㄐㄧ4", - "ㄑㄧ2" - ], - "鬿": [ - "ㄑㄧ2" - ], - "魀": [ - "ㄍㄚ4" - ], - "魁": [ - "ㄎㄨㄟ2", - "ㄎㄨㄟ3", - "ㄎㄨㄞ4" - ], - "魂": [ - "ㄏㄨㄣ2" - ], - "魃": [ - "ㄅㄚ2" - ], - "魄": [ - "ㄆㄛ4", - "ㄅㄛ2", - "ㄊㄨㄛ4" - ], - "魅": [ - "ㄇㄟ4" - ], - "魆": [ - "ㄒㄩ1" - ], - "魇": [ - "ㄧㄢ3" - ], - "魈": [ - "ㄒㄧㄠ1" - ], - "魉": [ - "ㄌㄧㄤ3" - ], - "魊": [ - "ㄩ4" - ], - "魋": [ - "ㄊㄨㄟ2", - "ㄔㄨㄟ2" - ], - "魌": [ - "ㄑㄧ1" - ], - "魍": [ - "ㄨㄤ3" - ], - "魎": [ - "ㄌㄧㄤ3" - ], - "魏": [ - "ㄨㄟ4", - "ㄨㄟ2", - "ㄨㄟ1" - ], - "魐": [ - "ㄍㄢ1" - ], - "魑": [ - "ㄔ1" - ], - "魒": [ - "ㄆㄧㄠ1" - ], - "魓": [ - "ㄅㄧ4" - ], - "魔": [ - "ㄇㄛ2" - ], - "魕": [ - "ㄐㄧ3" - ], - "魖": [ - "ㄒㄩ1" - ], - "魗": [ - "ㄔㄡ3", - "ㄔㄡ2" - ], - "魘": [ - "ㄧㄢ3" - ], - "魙": [ - "ㄓㄢ1" - ], - "魚": [ - "ㄩ2" - ], - "魛": [ - "ㄉㄠ1" - ], - "魜": [ - "ㄖㄣ2" - ], - "魝": [ - "ㄐㄧㄝ2", - "ㄐㄧ4" - ], - "魞": [ - "ㄅㄚ1" - ], - "魟": [ - "ㄏㄨㄥ2", - "ㄍㄨㄥ1" - ], - "魠": [ - "ㄊㄨㄛ1" - ], - "魡": [ - "ㄉㄧㄠ4", - "ㄉㄧ2" - ], - "魢": [ - "ㄐㄧ3" - ], - "魣": [ - "ㄒㄩ4", - "ㄩ2" - ], - "魤": [ - "ㄜ2", - "ㄏㄨㄚ4" - ], - "魥": [ - "ㄜ4", - "ㄑㄧㄝ4", - "ㄐㄧ4" - ], - "魦": [ - "ㄕㄚ1", - "ㄙㄨㄛ1" - ], - "魧": [ - "ㄏㄤ2" - ], - "魨": [ - "ㄊㄨㄣ2" - ], - "魩": [ - "ㄇㄛ4" - ], - "魪": [ - "ㄐㄧㄝ4" - ], - "魫": [ - "ㄕㄣ3" - ], - "魬": [ - "ㄅㄢ3" - ], - "魭": [ - "ㄩㄢ2", - "ㄨㄢ3" - ], - "魮": [ - "ㄆㄧ2", - "ㄅㄧ3" - ], - "魯": [ - "ㄌㄨ3", - "ㄌㄩ3" - ], - "魰": [ - "ㄨㄣ2" - ], - "魱": [ - "ㄏㄨ2", - "ㄏㄨ4" - ], - "魲": [ - "ㄌㄨ2" - ], - "魳": [ - "ㄗㄚ1", - "ㄕ1" - ], - "魴": [ - "ㄈㄤ2" - ], - "魵": [ - "ㄈㄣ2", - "ㄈㄣ4" - ], - "魶": [ - "ㄋㄚ4" - ], - "魷": [ - "ㄧㄡ2" - ], - "魸": [ - "ㄆㄧㄢ4" - ], - "魹": [ - "ㄇㄛ2" - ], - "魺": [ - "ㄏㄜ2", - "ㄍㄜ3" - ], - "魻": [ - "ㄒㄧㄚ2", - "ㄒㄧㄚ1" - ], - "魼": [ - "ㄑㄩ1", - "ㄒㄧㄝ2" - ], - "魽": [ - "ㄏㄢ2", - "ㄏㄢ1" - ], - "魾": [ - "ㄆㄧ1", - "ㄆㄧ2" - ], - "魿": [ - "ㄌㄧㄥ2", - "ㄌㄧㄣ2" - ], - "鮀": [ - "ㄊㄨㄛ2" - ], - "鮁": [ - "ㄅㄛ1", - "ㄅㄚ4" - ], - "鮂": [ - "ㄑㄧㄡ2" - ], - "鮃": [ - "ㄆㄧㄥ2" - ], - "鮄": [ - "ㄈㄨ2" - ], - "鮅": [ - "ㄅㄧ4" - ], - "鮆": [ - "ㄘ3", - "ㄐㄧ4" - ], - "鮇": [ - "ㄨㄟ4" - ], - "鮈": [ - "ㄐㄩ1", - "ㄑㄩ2", - "ㄍㄡ3" - ], - "鮉": [ - "ㄉㄧㄠ1" - ], - "鮊": [ - "ㄅㄚ4", - "ㄅㄛ2" - ], - "鮋": [ - "ㄧㄡ2", - "ㄔㄡ2" - ], - "鮌": [ - "ㄍㄨㄣ3" - ], - "鮍": [ - "ㄆㄧ1", - "ㄆㄧ2", - "ㄐㄩ4" - ], - "鮎": [ - "ㄋㄧㄢ2" - ], - "鮏": [ - "ㄒㄧㄥ1", - "ㄓㄥ1" - ], - "鮐": [ - "ㄊㄞ2" - ], - "鮑": [ - "ㄅㄠ4", - "ㄅㄠ1", - "ㄆㄠ1" - ], - "鮒": [ - "ㄈㄨ4" - ], - "鮓": [ - "ㄓㄚ3", - "ㄓㄚ4" - ], - "鮔": [ - "ㄐㄩ4" - ], - "鮕": [ - "ㄍㄨ1" - ], - "鮖": [ - "ㄕ2" - ], - "鮗": [ - "ㄉㄨㄥ1" - ], - "鮘": [ - "ㄉㄞ5" - ], - "鮙": [ - "ㄊㄚ4" - ], - "鮚": [ - "ㄐㄧㄝ2", - "ㄑㄧㄚ4" - ], - "鮛": [ - "ㄕㄨ1" - ], - "鮜": [ - "ㄏㄡ4" - ], - "鮝": [ - "ㄒㄧㄤ3", - "ㄓㄣ4" - ], - "鮞": [ - "ㄦ2" - ], - "鮟": [ - "ㄢ4", - "ㄢ1" - ], - "鮠": [ - "ㄨㄟ2" - ], - "鮡": [ - "ㄓㄠ4" - ], - "鮢": [ - "ㄓㄨ1" - ], - "鮣": [ - "ㄧㄣ4" - ], - "鮤": [ - "ㄌㄧㄝ4" - ], - "鮥": [ - "ㄌㄨㄛ4", - "ㄍㄜ2" - ], - "鮦": [ - "ㄊㄨㄥ2" - ], - "鮧": [ - "ㄊㄧ3", - "ㄧ2" - ], - "鮨": [ - "ㄧ4", - "ㄑㄧ2" - ], - "鮩": [ - "ㄅㄧㄥ4", - "ㄅㄧ4" - ], - "鮪": [ - "ㄨㄟ3" - ], - "鮫": [ - "ㄐㄧㄠ1" - ], - "鮬": [ - "ㄎㄨ1", - "ㄎㄨ4" - ], - "鮭": [ - "ㄍㄨㄟ1", - "ㄒㄧㄝ2", - "ㄏㄨㄚ4", - "ㄨㄚ1", - "ㄎㄨㄟ2" - ], - "鮮": [ - "ㄒㄧㄢ1", - "ㄒㄧㄢ3", - "ㄒㄧㄢ4" - ], - "鮯": [ - "ㄍㄜ2" - ], - "鮰": [ - "ㄏㄨㄟ2" - ], - "鮱": [ - "ㄌㄠ3" - ], - "鮲": [ - "ㄈㄨ2" - ], - "鮳": [ - "ㄎㄠ4" - ], - "鮴": [ - "ㄒㄧㄡ1" - ], - "鮵": [ - "ㄉㄨㄛ2" - ], - "鮶": [ - "ㄐㄩㄣ1" - ], - "鮷": [ - "ㄊㄧ2" - ], - "鮸": [ - "ㄇㄧㄢ3" - ], - "鮹": [ - "ㄕㄠ1" - ], - "鮺": [ - "ㄓㄚ3" - ], - "鮻": [ - "ㄙㄨㄛ1" - ], - "鮼": [ - "ㄑㄧㄣ1" - ], - "鮽": [ - "ㄩ2" - ], - "鮾": [ - "ㄋㄟ3" - ], - "鮿": [ - "ㄓㄜ2" - ], - "鯀": [ - "ㄍㄨㄣ3" - ], - "鯁": [ - "ㄍㄥ3" - ], - "鯂": [ - "ㄙㄨ1" - ], - "鯃": [ - "ㄨ2" - ], - "鯄": [ - "ㄑㄧㄡ2" - ], - "鯅": [ - "ㄕㄢ1", - "ㄕㄣ3" - ], - "鯆": [ - "ㄆㄨ1", - "ㄅㄨ1" - ], - "鯇": [ - "ㄏㄨㄢ4" - ], - "鯈": [ - "ㄊㄧㄠ2", - "ㄧㄡ2", - "ㄔㄡ2" - ], - "鯉": [ - "ㄌㄧ3" - ], - "鯊": [ - "ㄕㄚ1" - ], - "鯋": [ - "ㄕㄚ1" - ], - "鯌": [ - "ㄎㄠ4" - ], - "鯍": [ - "ㄇㄥ2" - ], - "鯎": [ - "ㄔㄥ2" - ], - "鯏": [ - "ㄌㄧ2" - ], - "鯐": [ - "ㄗㄡ3" - ], - "鯑": [ - "ㄒㄧ1" - ], - "鯒": [ - "ㄩㄥ3" - ], - "鯓": [ - "ㄕㄣ1" - ], - "鯔": [ - "ㄗ1" - ], - "鯕": [ - "ㄑㄧ2" - ], - "鯖": [ - "ㄓㄥ1", - "ㄑㄧㄥ1" - ], - "鯗": [ - "ㄒㄧㄤ3" - ], - "鯘": [ - "ㄋㄟ3" - ], - "鯙": [ - "ㄔㄨㄣ2" - ], - "鯚": [ - "ㄐㄧ4" - ], - "鯛": [ - "ㄉㄧㄠ1" - ], - "鯜": [ - "ㄑㄧㄝ4" - ], - "鯝": [ - "ㄍㄨ4" - ], - "鯞": [ - "ㄓㄡ3" - ], - "鯟": [ - "ㄉㄨㄥ1" - ], - "鯠": [ - "ㄌㄞ2" - ], - "鯡": [ - "ㄈㄟ4", - "ㄈㄟ1" - ], - "鯢": [ - "ㄋㄧ2" - ], - "鯣": [ - "ㄧ4" - ], - "鯤": [ - "ㄎㄨㄣ1" - ], - "鯥": [ - "ㄌㄨ4" - ], - "鯦": [ - "ㄐㄧㄡ4", - "ㄞ3" - ], - "鯧": [ - "ㄔㄤ1" - ], - "鯨": [ - "ㄐㄧㄥ1", - "ㄑㄧㄥ2" - ], - "鯩": [ - "ㄌㄨㄣ2" - ], - "鯪": [ - "ㄌㄧㄥ2" - ], - "鯫": [ - "ㄗㄡ1" - ], - "鯬": [ - "ㄌㄧ2" - ], - "鯭": [ - "ㄇㄥ3" - ], - "鯮": [ - "ㄗㄨㄥ1" - ], - "鯯": [ - "ㄓ4" - ], - "鯰": [ - "ㄋㄧㄢ2" - ], - "鯱": [ - "ㄏㄨ3" - ], - "鯲": [ - "ㄩ2" - ], - "鯳": [ - "ㄉㄧ3" - ], - "鯴": [ - "ㄕ1" - ], - "鯵": [ - "ㄕㄣ1" - ], - "鯶": [ - "ㄏㄨㄢ4" - ], - "鯷": [ - "ㄊㄧ2" - ], - "鯸": [ - "ㄏㄡ2" - ], - "鯹": [ - "ㄒㄧㄥ1" - ], - "鯺": [ - "ㄓㄨ1" - ], - "鯻": [ - "ㄌㄚ4" - ], - "鯼": [ - "ㄗㄨㄥ1" - ], - "鯽": [ - "ㄗㄟ2", - "ㄐㄧ4" - ], - "鯾": [ - "ㄅㄧㄢ1" - ], - "鯿": [ - "ㄅㄧㄢ1" - ], - "鰀": [ - "ㄏㄨㄢ4" - ], - "鰁": [ - "ㄑㄩㄢ2" - ], - "鰂": [ - "ㄗㄟ2", - "ㄗㄜ2" - ], - "鰃": [ - "ㄨㄟ1" - ], - "鰄": [ - "ㄨㄟ1" - ], - "鰅": [ - "ㄩ2" - ], - "鰆": [ - "ㄔㄨㄣ1" - ], - "鰇": [ - "ㄖㄡ2" - ], - "鰈": [ - "ㄉㄧㄝ2", - "ㄑㄧㄝ4", - "ㄓㄚ2" - ], - "鰉": [ - "ㄏㄨㄤ2" - ], - "鰊": [ - "ㄌㄧㄢ4" - ], - "鰋": [ - "ㄧㄢ3" - ], - "鰌": [ - "ㄑㄧㄡ1" - ], - "鰍": [ - "ㄑㄧㄡ1" - ], - "鰎": [ - "ㄐㄧㄢ3" - ], - "鰏": [ - "ㄅㄧ1" - ], - "鰐": [ - "ㄜ4" - ], - "鰑": [ - "ㄧㄤ2" - ], - "鰒": [ - "ㄈㄨ4" - ], - "鰓": [ - "ㄙㄞ1", - "ㄒㄧ2" - ], - "鰔": [ - "ㄍㄢ3", - "ㄐㄧㄢ1", - "ㄒㄧㄢ2" - ], - "鰕": [ - "ㄒㄧㄚ1" - ], - "鰖": [ - "ㄊㄨㄛ3", - "ㄨㄟ3" - ], - "鰗": [ - "ㄏㄨ2" - ], - "鰘": [ - "ㄕ4" - ], - "鰙": [ - "ㄖㄨㄛ4" - ], - "鰚": [ - "ㄒㄩㄢ1" - ], - "鰛": [ - "ㄨㄣ1" - ], - "鰜": [ - "ㄑㄧㄢ4", - "ㄐㄧㄢ1" - ], - "鰝": [ - "ㄏㄠ4" - ], - "鰞": [ - "ㄨ1" - ], - "鰟": [ - "ㄈㄤ2", - "ㄆㄤ2" - ], - "鰠": [ - "ㄙㄠ1" - ], - "鰡": [ - "ㄌㄧㄡ2" - ], - "鰢": [ - "ㄇㄚ3" - ], - "鰣": [ - "ㄕ2" - ], - "鰤": [ - "ㄕ1" - ], - "鰥": [ - "ㄍㄨㄢ1", - "ㄍㄨㄢ4", - "ㄎㄨㄣ1", - "ㄍㄨㄣ3" - ], - "鰦": [ - "ㄗ1" - ], - "鰧": [ - "ㄊㄥ2" - ], - "鰨": [ - "ㄊㄚ3", - "ㄉㄧㄝ2" - ], - "鰩": [ - "ㄧㄠ2" - ], - "鰪": [ - "ㄜ2", - "ㄍㄜ2" - ], - "鰫": [ - "ㄩㄥ2" - ], - "鰬": [ - "ㄑㄧㄢ2" - ], - "鰭": [ - "ㄑㄧ2" - ], - "鰮": [ - "ㄨㄣ1" - ], - "鰯": [ - "ㄖㄨㄛ4" - ], - "鰰": [ - "ㄕㄣ2" - ], - "鰱": [ - "ㄌㄧㄢ2" - ], - "鰲": [ - "ㄠ2" - ], - "鰳": [ - "ㄌㄜ4" - ], - "鰴": [ - "ㄏㄨㄟ1" - ], - "鰵": [ - "ㄇㄧㄣ3" - ], - "鰶": [ - "ㄐㄧ4" - ], - "鰷": [ - "ㄊㄧㄠ2" - ], - "鰸": [ - "ㄑㄩ1" - ], - "鰹": [ - "ㄐㄧㄢ1" - ], - "鰺": [ - "ㄕㄣ1", - "ㄙㄠ1", - "ㄘㄢ1" - ], - "鰻": [ - "ㄇㄢ2" - ], - "鰼": [ - "ㄒㄧ2" - ], - "鰽": [ - "ㄑㄧㄡ2" - ], - "鰾": [ - "ㄅㄧㄠ4" - ], - "鰿": [ - "ㄐㄧ4" - ], - "鱀": [ - "ㄐㄧ4" - ], - "鱁": [ - "ㄓㄨ2" - ], - "鱂": [ - "ㄐㄧㄤ1" - ], - "鱃": [ - "ㄒㄧㄡ1", - "ㄑㄧㄡ1" - ], - "鱄": [ - "ㄓㄨㄢ1", - "ㄊㄨㄢ2", - "ㄌㄧㄢ4" - ], - "鱅": [ - "ㄩㄥ1", - "ㄩㄥ2" - ], - "鱆": [ - "ㄓㄤ1" - ], - "鱇": [ - "ㄎㄤ1" - ], - "鱈": [ - "ㄒㄩㄝ3" - ], - "鱉": [ - "ㄅㄧㄝ1" - ], - "鱊": [ - "ㄩ4" - ], - "鱋": [ - "ㄑㄩ1" - ], - "鱌": [ - "ㄒㄧㄤ4" - ], - "鱍": [ - "ㄅㄛ1" - ], - "鱎": [ - "ㄐㄧㄠ3" - ], - "鱏": [ - "ㄒㄩㄣ2" - ], - "鱐": [ - "ㄙㄨ4" - ], - "鱑": [ - "ㄏㄨㄤ2" - ], - "鱒": [ - "ㄗㄨㄣ1", - "ㄗㄨㄣ4" - ], - "鱓": [ - "ㄕㄢ4", - "ㄊㄨㄛ2" - ], - "鱔": [ - "ㄕㄢ4" - ], - "鱕": [ - "ㄈㄢ1" - ], - "鱖": [ - "ㄍㄨㄟ4", - "ㄐㄩㄝ2" - ], - "鱗": [ - "ㄌㄧㄣ2" - ], - "鱘": [ - "ㄒㄩㄣ2" - ], - "鱙": [ - "ㄇㄧㄠ2" - ], - "鱚": [ - "ㄒㄧ3", - "ㄒㄧ1" - ], - "鱛": [ - "ㄗㄥ1" - ], - "鱜": [ - "ㄒㄧㄤ1" - ], - "鱝": [ - "ㄈㄣ4" - ], - "鱞": [ - "ㄍㄨㄢ1" - ], - "鱟": [ - "ㄏㄡ4" - ], - "鱠": [ - "ㄎㄨㄞ4" - ], - "鱡": [ - "ㄗㄟ2" - ], - "鱢": [ - "ㄙㄠ1" - ], - "鱣": [ - "ㄓㄢ1", - "ㄕㄢ4" - ], - "鱤": [ - "ㄍㄢ3" - ], - "鱥": [ - "ㄍㄨㄟ4" - ], - "鱦": [ - "ㄧㄥ4", - "ㄕㄥ2", - "ㄇㄥ3" - ], - "鱧": [ - "ㄌㄧ3" - ], - "鱨": [ - "ㄔㄤ2" - ], - "鱩": [ - "ㄌㄟ2" - ], - "鱪": [ - "ㄕㄨ3" - ], - "鱫": [ - "ㄞ4" - ], - "鱬": [ - "ㄖㄨ2" - ], - "鱭": [ - "ㄐㄧ4" - ], - "鱮": [ - "ㄒㄩ4", - "ㄩ2" - ], - "鱯": [ - "ㄏㄨ4" - ], - "鱰": [ - "ㄕㄨ3" - ], - "鱱": [ - "ㄌㄧ4" - ], - "鱲": [ - "ㄌㄧㄝ4", - "ㄌㄚ4" - ], - "鱳": [ - "ㄌㄧ4", - "ㄌㄨ4", - "ㄌㄨㄛ4" - ], - "鱴": [ - "ㄇㄧㄝ4" - ], - "鱵": [ - "ㄓㄣ1" - ], - "鱶": [ - "ㄒㄧㄤ3" - ], - "鱷": [ - "ㄜ4" - ], - "鱸": [ - "ㄌㄨ2" - ], - "鱹": [ - "ㄍㄨㄢ4" - ], - "鱺": [ - "ㄌㄧ2", - "ㄌㄧ3" - ], - "鱻": [ - "ㄒㄧㄢ1", - "ㄒㄧㄢ3" - ], - "鱼": [ - "ㄩ2" - ], - "鱽": [ - "ㄉㄠ1" - ], - "鱾": [ - "ㄐㄧ3" - ], - "鱿": [ - "ㄧㄡ2" - ], - "鲀": [ - "ㄊㄨㄣ2" - ], - "鲁": [ - "ㄌㄨ3" - ], - "鲂": [ - "ㄈㄤ2" - ], - "鲃": [ - "ㄅㄚ1" - ], - "鲄": [ - "ㄏㄜ2" - ], - "鲅": [ - "ㄅㄚ4", - "ㄅㄛ1" - ], - "鲆": [ - "ㄆㄧㄥ2" - ], - "鲇": [ - "ㄋㄧㄢ2" - ], - "鲈": [ - "ㄌㄨ2" - ], - "鲉": [ - "ㄧㄡ2" - ], - "鲊": [ - "ㄓㄚ3" - ], - "鲋": [ - "ㄈㄨ4" - ], - "鲌": [ - "ㄅㄚ4", - "ㄅㄛ2" - ], - "鲍": [ - "ㄅㄠ4" - ], - "鲎": [ - "ㄏㄡ4" - ], - "鲏": [ - "ㄆㄧ2" - ], - "鲐": [ - "ㄊㄞ2" - ], - "鲑": [ - "ㄍㄨㄟ1", - "ㄒㄧㄝ2" - ], - "鲒": [ - "ㄐㄧㄝ2" - ], - "鲓": [ - "ㄎㄠ4" - ], - "鲔": [ - "ㄨㄟ3" - ], - "鲕": [ - "ㄦ2" - ], - "鲖": [ - "ㄊㄨㄥ2" - ], - "鲗": [ - "ㄗㄟ2" - ], - "鲘": [ - "ㄏㄡ4" - ], - "鲙": [ - "ㄎㄨㄞ4" - ], - "鲚": [ - "ㄐㄧ4" - ], - "鲛": [ - "ㄐㄧㄠ1" - ], - "鲜": [ - "ㄒㄧㄢ1", - "ㄒㄧㄢ3" - ], - "鲝": [ - "ㄓㄚ3" - ], - "鲞": [ - "ㄒㄧㄤ3" - ], - "鲟": [ - "ㄒㄩㄣ2" - ], - "鲠": [ - "ㄍㄥ3" - ], - "鲡": [ - "ㄌㄧ2" - ], - "鲢": [ - "ㄌㄧㄢ2" - ], - "鲣": [ - "ㄐㄧㄢ1" - ], - "鲤": [ - "ㄌㄧ3" - ], - "鲥": [ - "ㄕ2" - ], - "鲦": [ - "ㄊㄧㄠ2" - ], - "鲧": [ - "ㄍㄨㄣ3" - ], - "鲨": [ - "ㄕㄚ1" - ], - "鲩": [ - "ㄏㄨㄢ4" - ], - "鲪": [ - "ㄐㄩㄣ1" - ], - "鲫": [ - "ㄐㄧ4" - ], - "鲬": [ - "ㄩㄥ3" - ], - "鲭": [ - "ㄑㄧㄥ1", - "ㄓㄥ1" - ], - "鲮": [ - "ㄌㄧㄥ2" - ], - "鲯": [ - "ㄑㄧ2" - ], - "鲰": [ - "ㄗㄡ1" - ], - "鲱": [ - "ㄈㄟ1" - ], - "鲲": [ - "ㄎㄨㄣ1" - ], - "鲳": [ - "ㄔㄤ1" - ], - "鲴": [ - "ㄍㄨ4" - ], - "鲵": [ - "ㄋㄧ2" - ], - "鲶": [ - "ㄋㄧㄢ2" - ], - "鲷": [ - "ㄉㄧㄠ1" - ], - "鲸": [ - "ㄐㄧㄥ1" - ], - "鲹": [ - "ㄕㄣ1" - ], - "鲺": [ - "ㄕ1" - ], - "鲻": [ - "ㄗ1" - ], - "鲼": [ - "ㄈㄣ4" - ], - "鲽": [ - "ㄉㄧㄝ2" - ], - "鲾": [ - "ㄅㄧ1" - ], - "鲿": [ - "ㄔㄤ2" - ], - "鳀": [ - "ㄊㄧ2" - ], - "鳁": [ - "ㄨㄣ1" - ], - "鳂": [ - "ㄨㄟ1" - ], - "鳃": [ - "ㄙㄞ1" - ], - "鳄": [ - "ㄜ4" - ], - "鳅": [ - "ㄑㄧㄡ1" - ], - "鳆": [ - "ㄈㄨ4" - ], - "鳇": [ - "ㄏㄨㄤ2" - ], - "鳈": [ - "ㄑㄩㄢ2" - ], - "鳉": [ - "ㄐㄧㄤ1" - ], - "鳊": [ - "ㄅㄧㄢ1" - ], - "鳋": [ - "ㄙㄠ1" - ], - "鳌": [ - "ㄠ2" - ], - "鳍": [ - "ㄑㄧ2" - ], - "鳎": [ - "ㄊㄚ3" - ], - "鳏": [ - "ㄍㄨㄢ1" - ], - "鳐": [ - "ㄧㄠ2" - ], - "鳑": [ - "ㄆㄤ2" - ], - "鳒": [ - "ㄐㄧㄢ1" - ], - "鳓": [ - "ㄌㄜ4" - ], - "鳔": [ - "ㄅㄧㄠ4" - ], - "鳕": [ - "ㄒㄩㄝ3" - ], - "鳖": [ - "ㄅㄧㄝ1" - ], - "鳗": [ - "ㄇㄢ2" - ], - "鳘": [ - "ㄇㄧㄣ3" - ], - "鳙": [ - "ㄩㄥ1" - ], - "鳚": [ - "ㄨㄟ4" - ], - "鳛": [ - "ㄒㄧ2" - ], - "鳜": [ - "ㄍㄨㄟ4" - ], - "鳝": [ - "ㄕㄢ4" - ], - "鳞": [ - "ㄌㄧㄣ2" - ], - "鳟": [ - "ㄗㄨㄣ1" - ], - "鳠": [ - "ㄏㄨ4" - ], - "鳡": [ - "ㄍㄢ3" - ], - "鳢": [ - "ㄌㄧ3" - ], - "鳣": [ - "ㄓㄢ1" - ], - "鳤": [ - "ㄍㄨㄢ3" - ], - "鳥": [ - "ㄋㄧㄠ3", - "ㄉㄧㄠ3", - "ㄉㄠ3", - "ㄑㄩㄝ4" - ], - "鳦": [ - "ㄧ3" - ], - "鳧": [ - "ㄈㄨ2" - ], - "鳨": [ - "ㄌㄧ4" - ], - "鳩": [ - "ㄐㄧㄡ1", - "ㄑㄧㄡ2", - "ㄓ4" - ], - "鳪": [ - "ㄅㄨ2" - ], - "鳫": [ - "ㄧㄢ4" - ], - "鳬": [ - "ㄈㄨ3" - ], - "鳭": [ - "ㄉㄧㄠ1", - "ㄓㄠ1" - ], - "鳮": [ - "ㄐㄧ1" - ], - "鳯": [ - "ㄈㄥ4" - ], - "鳰": [ - "ㄖㄨ4" - ], - "鳱": [ - "ㄍㄢ1", - "ㄏㄢ4", - "ㄧㄢ4" - ], - "鳲": [ - "ㄕ1" - ], - "鳳": [ - "ㄈㄥ4" - ], - "鳴": [ - "ㄇㄧㄥ2" - ], - "鳵": [ - "ㄅㄠ3" - ], - "鳶": [ - "ㄩㄢ1" - ], - "鳷": [ - "ㄓ1", - "ㄔ4" - ], - "鳸": [ - "ㄏㄨ4" - ], - "鳹": [ - "ㄑㄧㄣ2" - ], - "鳺": [ - "ㄈㄨ1", - "ㄍㄨㄟ1" - ], - "鳻": [ - "ㄅㄢ1", - "ㄈㄣ2" - ], - "鳼": [ - "ㄨㄣ2" - ], - "鳽": [ - "ㄐㄧㄢ1", - "ㄑㄧㄢ1", - "ㄓㄢ1" - ], - "鳾": [ - "ㄕ1" - ], - "鳿": [ - "ㄩ4" - ], - "鴀": [ - "ㄈㄡ3" - ], - "鴁": [ - "ㄧㄠ1", - "ㄠ3" - ], - "鴂": [ - "ㄐㄩㄝ2", - "ㄍㄨㄟ1" - ], - "鴃": [ - "ㄐㄩㄝ2" - ], - "鴄": [ - "ㄆㄧ3" - ], - "鴅": [ - "ㄏㄨㄢ1" - ], - "鴆": [ - "ㄓㄣ4" - ], - "鴇": [ - "ㄅㄠ3" - ], - "鴈": [ - "ㄧㄢ4" - ], - "鴉": [ - "ㄧㄚ1", - "ㄧㄚ3" - ], - "鴊": [ - "ㄓㄥ4" - ], - "鴋": [ - "ㄈㄤ1", - "ㄈㄤ3" - ], - "鴌": [ - "ㄈㄥ4" - ], - "鴍": [ - "ㄨㄣ2" - ], - "鴎": [ - "ㄡ1" - ], - "鴏": [ - "ㄉㄞ4" - ], - "鴐": [ - "ㄍㄜ1" - ], - "鴑": [ - "ㄖㄨ2" - ], - "鴒": [ - "ㄌㄧㄥ2" - ], - "鴓": [ - "ㄇㄧㄝ4", - "ㄅㄧ4" - ], - "鴔": [ - "ㄈㄨ2" - ], - "鴕": [ - "ㄊㄨㄛ2" - ], - "鴖": [ - "ㄇㄧㄣ2", - "ㄨㄣ2" - ], - "鴗": [ - "ㄌㄧ4" - ], - "鴘": [ - "ㄅㄧㄢ3" - ], - "鴙": [ - "ㄓ4" - ], - "鴚": [ - "ㄍㄜ1" - ], - "鴛": [ - "ㄩㄢ1" - ], - "鴜": [ - "ㄘ2" - ], - "鴝": [ - "ㄑㄩ2", - "ㄍㄡ1", - "ㄍㄡ4" - ], - "鴞": [ - "ㄒㄧㄠ1" - ], - "鴟": [ - "ㄔ1" - ], - "鴠": [ - "ㄉㄢ4" - ], - "鴡": [ - "ㄐㄩ1" - ], - "鴢": [ - "ㄧㄠ3", - "ㄠ1" - ], - "鴣": [ - "ㄍㄨ1" - ], - "鴤": [ - "ㄓㄨㄥ1" - ], - "鴥": [ - "ㄩ4" - ], - "鴦": [ - "ㄧㄤ1" - ], - "鴧": [ - "ㄩ4" - ], - "鴨": [ - "ㄧㄚ1" - ], - "鴩": [ - "ㄊㄧㄝ3", - "ㄏㄨ2" - ], - "鴪": [ - "ㄩ4" - ], - "鴫": [ - "ㄊㄧㄢ2" - ], - "鴬": [ - "ㄧㄥ1" - ], - "鴭": [ - "ㄉㄨㄟ1" - ], - "鴮": [ - "ㄨ1" - ], - "鴯": [ - "ㄦ2" - ], - "鴰": [ - "ㄍㄨㄚ1" - ], - "鴱": [ - "ㄞ4" - ], - "鴲": [ - "ㄓ1" - ], - "鴳": [ - "ㄧㄢ4", - "ㄢ1", - "ㄜ4" - ], - "鴴": [ - "ㄏㄥ2" - ], - "鴵": [ - "ㄒㄧㄠ1" - ], - "鴶": [ - "ㄐㄧㄚ2" - ], - "鴷": [ - "ㄌㄧㄝ4" - ], - "鴸": [ - "ㄓㄨ1" - ], - "鴹": [ - "ㄧㄤ2", - "ㄒㄧㄤ2" - ], - "鴺": [ - "ㄊㄧ2", - "ㄧ2" - ], - "鴻": [ - "ㄏㄨㄥ2", - "ㄏㄨㄥ4" - ], - "鴼": [ - "ㄌㄨㄛ4" - ], - "鴽": [ - "ㄖㄨ2" - ], - "鴾": [ - "ㄇㄡ2" - ], - "鴿": [ - "ㄍㄜ1" - ], - "鵀": [ - "ㄖㄣ2" - ], - "鵁": [ - "ㄐㄧㄠ1", - "ㄒㄧㄠ1" - ], - "鵂": [ - "ㄒㄧㄡ1" - ], - "鵃": [ - "ㄓㄡ1", - "ㄉㄧㄠ3" - ], - "鵄": [ - "ㄔ1" - ], - "鵅": [ - "ㄌㄨㄛ4", - "ㄍㄜ2" - ], - "鵆": [ - "ㄏㄥ2" - ], - "鵇": [ - "ㄋㄧㄢ2" - ], - "鵈": [ - "ㄜ3" - ], - "鵉": [ - "ㄌㄨㄢ2" - ], - "鵊": [ - "ㄐㄧㄚ2" - ], - "鵋": [ - "ㄐㄧ4" - ], - "鵌": [ - "ㄊㄨ2" - ], - "鵍": [ - "ㄏㄨㄢ1", - "ㄐㄩㄢ1", - "ㄍㄨㄢ4" - ], - "鵎": [ - "ㄊㄨㄛ3" - ], - "鵏": [ - "ㄅㄨ3", - "ㄅㄨ1", - "ㄆㄨ1", - "ㄆㄨ2" - ], - "鵐": [ - "ㄨ2" - ], - "鵑": [ - "ㄐㄩㄢ1" - ], - "鵒": [ - "ㄩ4" - ], - "鵓": [ - "ㄅㄛ2" - ], - "鵔": [ - "ㄐㄩㄣ4" - ], - "鵕": [ - "ㄐㄩㄣ4" - ], - "鵖": [ - "ㄅㄧ1" - ], - "鵗": [ - "ㄒㄧ1" - ], - "鵘": [ - "ㄐㄩㄣ4" - ], - "鵙": [ - "ㄐㄩ2" - ], - "鵚": [ - "ㄊㄨ1" - ], - "鵛": [ - "ㄐㄧㄥ1" - ], - "鵜": [ - "ㄊㄧ2", - "ㄊㄧ1" - ], - "鵝": [ - "ㄜ2" - ], - "鵞": [ - "ㄜ2" - ], - "鵟": [ - "ㄎㄨㄤ2" - ], - "鵠": [ - "ㄏㄨ2", - "ㄍㄨ3", - "ㄏㄜ4" - ], - "鵡": [ - "ㄨ3" - ], - "鵢": [ - "ㄕㄣ1" - ], - "鵣": [ - "ㄌㄞ4", - "ㄔ4" - ], - "鵤": [ - "ㄐㄧㄠ5" - ], - "鵥": [ - "ㄆㄢ4" - ], - "鵦": [ - "ㄌㄨ4" - ], - "鵧": [ - "ㄆㄧ2" - ], - "鵨": [ - "ㄕㄨ1" - ], - "鵩": [ - "ㄈㄨ2" - ], - "鵪": [ - "ㄢ1", - "ㄧㄚ1" - ], - "鵫": [ - "ㄓㄨㄛ2" - ], - "鵬": [ - "ㄆㄥ2", - "ㄈㄥ4" - ], - "鵭": [ - "ㄑㄧㄣ2" - ], - "鵮": [ - "ㄑㄧㄢ1" - ], - "鵯": [ - "ㄅㄟ1" - ], - "鵰": [ - "ㄉㄧㄠ1" - ], - "鵱": [ - "ㄌㄨ4" - ], - "鵲": [ - "ㄑㄩㄝ4" - ], - "鵳": [ - "ㄐㄧㄢ1" - ], - "鵴": [ - "ㄐㄩ2" - ], - "鵵": [ - "ㄊㄨ4" - ], - "鵶": [ - "ㄧㄚ1" - ], - "鵷": [ - "ㄩㄢ1" - ], - "鵸": [ - "ㄑㄧ2" - ], - "鵹": [ - "ㄌㄧ2" - ], - "鵺": [ - "ㄧㄝ4" - ], - "鵻": [ - "ㄓㄨㄟ1" - ], - "鵼": [ - "ㄎㄨㄥ1" - ], - "鵽": [ - "ㄉㄨㄛ4" - ], - "鵾": [ - "ㄎㄨㄣ1" - ], - "鵿": [ - "ㄕㄥ1" - ], - "鶀": [ - "ㄑㄧ2" - ], - "鶁": [ - "ㄐㄧㄥ1" - ], - "鶂": [ - "ㄧ4" - ], - "鶃": [ - "ㄧ4" - ], - "鶄": [ - "ㄐㄧㄥ1", - "ㄑㄧㄥ1" - ], - "鶅": [ - "ㄗ1" - ], - "鶆": [ - "ㄌㄞ2" - ], - "鶇": [ - "ㄉㄨㄥ1" - ], - "鶈": [ - "ㄑㄧ1" - ], - "鶉": [ - "ㄔㄨㄣ2", - "ㄊㄨㄢ2" - ], - "鶊": [ - "ㄍㄥ1" - ], - "鶋": [ - "ㄐㄩ1" - ], - "鶌": [ - "ㄐㄩㄝ2", - "ㄑㄩ1" - ], - "鶍": [ - "ㄧ4" - ], - "鶎": [ - "ㄗㄨㄣ1" - ], - "鶏": [ - "ㄐㄧ1" - ], - "鶐": [ - "ㄕㄨ4" - ], - "鶑": [ - "ㄧㄥ1" - ], - "鶒": [ - "ㄔ4" - ], - "鶓": [ - "ㄇㄧㄠ2" - ], - "鶔": [ - "ㄖㄡ2" - ], - "鶕": [ - "ㄢ1" - ], - "鶖": [ - "ㄑㄧㄡ1" - ], - "鶗": [ - "ㄊㄧ2", - "ㄔ2" - ], - "鶘": [ - "ㄏㄨ2" - ], - "鶙": [ - "ㄊㄧ2" - ], - "鶚": [ - "ㄜ4" - ], - "鶛": [ - "ㄐㄧㄝ1", - "ㄐㄧㄝ4" - ], - "鶜": [ - "ㄇㄠ2" - ], - "鶝": [ - "ㄈㄨ2", - "ㄅㄧ4" - ], - "鶞": [ - "ㄔㄨㄣ1" - ], - "鶟": [ - "ㄊㄨ2" - ], - "鶠": [ - "ㄧㄢ3" - ], - "鶡": [ - "ㄏㄜ2", - "ㄏㄜ4" - ], - "鶢": [ - "ㄩㄢ2" - ], - "鶣": [ - "ㄆㄧㄢ1", - "ㄅㄧㄢ3" - ], - "鶤": [ - "ㄎㄨㄣ1" - ], - "鶥": [ - "ㄇㄟ2" - ], - "鶦": [ - "ㄏㄨ2" - ], - "鶧": [ - "ㄧㄥ1" - ], - "鶨": [ - "ㄔㄨㄢ4", - "ㄓ4" - ], - "鶩": [ - "ㄨ4", - "ㄇㄨ4" - ], - "鶪": [ - "ㄐㄩ2" - ], - "鶫": [ - "ㄉㄨㄥ1" - ], - "鶬": [ - "ㄘㄤ1", - "ㄑㄧㄤ1" - ], - "鶭": [ - "ㄈㄤ3" - ], - "鶮": [ - "ㄏㄜ4", - "ㄏㄨ2" - ], - "鶯": [ - "ㄧㄥ1" - ], - "鶰": [ - "ㄩㄢ2" - ], - "鶱": [ - "ㄒㄧㄢ1" - ], - "鶲": [ - "ㄨㄥ1" - ], - "鶳": [ - "ㄕ1" - ], - "鶴": [ - "ㄏㄜ4" - ], - "鶵": [ - "ㄔㄨ2" - ], - "鶶": [ - "ㄊㄤ2" - ], - "鶷": [ - "ㄒㄧㄚ2" - ], - "鶸": [ - "ㄖㄨㄛ4" - ], - "鶹": [ - "ㄌㄧㄡ2" - ], - "鶺": [ - "ㄐㄧ2" - ], - "鶻": [ - "ㄍㄨ2", - "ㄏㄨ2" - ], - "鶼": [ - "ㄐㄧㄢ1", - "ㄑㄧㄢ1" - ], - "鶽": [ - "ㄙㄨㄣ3", - "ㄒㄩㄣ4" - ], - "鶾": [ - "ㄏㄢ4" - ], - "鶿": [ - "ㄘ2" - ], - "鷀": [ - "ㄘ2" - ], - "鷁": [ - "ㄧ4" - ], - "鷂": [ - "ㄧㄠ4", - "ㄧㄠ2" - ], - "鷃": [ - "ㄧㄢ4" - ], - "鷄": [ - "ㄐㄧ1" - ], - "鷅": [ - "ㄌㄧ4" - ], - "鷆": [ - "ㄊㄧㄢ2" - ], - "鷇": [ - "ㄎㄡ4" - ], - "鷈": [ - "ㄊㄧ1" - ], - "鷉": [ - "ㄊㄧ1", - "ㄙ1" - ], - "鷊": [ - "ㄧ4" - ], - "鷋": [ - "ㄊㄨ2" - ], - "鷌": [ - "ㄇㄚ3" - ], - "鷍": [ - "ㄒㄧㄠ1" - ], - "鷎": [ - "ㄍㄠ1" - ], - "鷏": [ - "ㄊㄧㄢ2" - ], - "鷐": [ - "ㄔㄣ2" - ], - "鷑": [ - "ㄐㄧ2" - ], - "鷒": [ - "ㄊㄨㄢ2" - ], - "鷓": [ - "ㄓㄜ4" - ], - "鷔": [ - "ㄠ2", - "ㄠ4" - ], - "鷕": [ - "ㄧㄠ3", - "ㄒㄧㄠ4" - ], - "鷖": [ - "ㄧ1", - "ㄧ4" - ], - "鷗": [ - "ㄡ1" - ], - "鷘": [ - "ㄔ4" - ], - "鷙": [ - "ㄓ4", - "ㄓㄜ2" - ], - "鷚": [ - "ㄌㄧㄡ4" - ], - "鷛": [ - "ㄩㄥ1" - ], - "鷜": [ - "ㄌㄩ2", - "ㄌㄩ3" - ], - "鷝": [ - "ㄅㄧ4" - ], - "鷞": [ - "ㄕㄨㄤ1", - "ㄕㄨㄤ3" - ], - "鷟": [ - "ㄓㄨㄛ2" - ], - "鷠": [ - "ㄩ2" - ], - "鷡": [ - "ㄨ2" - ], - "鷢": [ - "ㄐㄩㄝ2" - ], - "鷣": [ - "ㄧㄣ2" - ], - "鷤": [ - "ㄊㄧ2", - "ㄊㄢ2" - ], - "鷥": [ - "ㄙ1" - ], - "鷦": [ - "ㄐㄧㄠ1" - ], - "鷧": [ - "ㄧ4" - ], - "鷨": [ - "ㄏㄨㄚ2" - ], - "鷩": [ - "ㄅㄧ4" - ], - "鷪": [ - "ㄧㄥ1" - ], - "鷫": [ - "ㄙㄨ4" - ], - "鷬": [ - "ㄏㄨㄤ2" - ], - "鷭": [ - "ㄈㄢ2" - ], - "鷮": [ - "ㄐㄧㄠ1" - ], - "鷯": [ - "ㄌㄧㄠ2" - ], - "鷰": [ - "ㄧㄢ4" - ], - "鷱": [ - "ㄍㄠ1" - ], - "鷲": [ - "ㄐㄧㄡ4" - ], - "鷳": [ - "ㄒㄧㄢ2" - ], - "鷴": [ - "ㄒㄧㄢ2" - ], - "鷵": [ - "ㄊㄨ2" - ], - "鷶": [ - "ㄇㄞ3" - ], - "鷷": [ - "ㄗㄨㄣ1" - ], - "鷸": [ - "ㄩ4", - "ㄕㄨ4" - ], - "鷹": [ - "ㄧㄥ1" - ], - "鷺": [ - "ㄌㄨ4" - ], - "鷻": [ - "ㄊㄨㄢ2" - ], - "鷼": [ - "ㄒㄧㄢ2" - ], - "鷽": [ - "ㄒㄩㄝ2" - ], - "鷾": [ - "ㄧ4" - ], - "鷿": [ - "ㄆㄧ4" - ], - "鸀": [ - "ㄔㄨ3", - "ㄓㄨ2", - "ㄔㄨ4" - ], - "鸁": [ - "ㄌㄨㄛ2" - ], - "鸂": [ - "ㄒㄧ1", - "ㄑㄧ1" - ], - "鸃": [ - "ㄧ2" - ], - "鸄": [ - "ㄐㄧ1" - ], - "鸅": [ - "ㄗㄜ2" - ], - "鸆": [ - "ㄩ2" - ], - "鸇": [ - "ㄓㄢ1" - ], - "鸈": [ - "ㄧㄝ4" - ], - "鸉": [ - "ㄧㄤ2" - ], - "鸊": [ - "ㄆㄧ4", - "ㄅㄧ4" - ], - "鸋": [ - "ㄋㄧㄥ2" - ], - "鸌": [ - "ㄏㄨ4" - ], - "鸍": [ - "ㄇㄧ2" - ], - "鸎": [ - "ㄧㄥ1" - ], - "鸏": [ - "ㄇㄥ2", - "ㄇㄤ2" - ], - "鸐": [ - "ㄉㄧ2" - ], - "鸑": [ - "ㄩㄝ4" - ], - "鸒": [ - "ㄩ4" - ], - "鸓": [ - "ㄌㄟ3" - ], - "鸔": [ - "ㄅㄨ3" - ], - "鸕": [ - "ㄌㄨ2" - ], - "鸖": [ - "ㄏㄜ4" - ], - "鸗": [ - "ㄌㄨㄥ2" - ], - "鸘": [ - "ㄕㄨㄤ1" - ], - "鸙": [ - "ㄩㄝ4" - ], - "鸚": [ - "ㄧㄥ1" - ], - "鸛": [ - "ㄍㄨㄢ4", - "ㄏㄨㄢ1", - "ㄑㄩㄢ2" - ], - "鸜": [ - "ㄑㄩ2" - ], - "鸝": [ - "ㄌㄧ2" - ], - "鸞": [ - "ㄌㄨㄢ2" - ], - "鸟": [ - "ㄋㄧㄠ3", - "ㄉㄧㄠ3" - ], - "鸠": [ - "ㄐㄧㄡ1" - ], - "鸡": [ - "ㄐㄧ1" - ], - "鸢": [ - "ㄩㄢ1" - ], - "鸣": [ - "ㄇㄧㄥ2" - ], - "鸤": [ - "ㄕ1" - ], - "鸥": [ - "ㄡ1" - ], - "鸦": [ - "ㄧㄚ1" - ], - "鸧": [ - "ㄘㄤ1" - ], - "鸨": [ - "ㄅㄠ3" - ], - "鸩": [ - "ㄓㄣ4" - ], - "鸪": [ - "ㄍㄨ1" - ], - "鸫": [ - "ㄉㄨㄥ1" - ], - "鸬": [ - "ㄌㄨ2" - ], - "鸭": [ - "ㄧㄚ1" - ], - "鸮": [ - "ㄒㄧㄠ1" - ], - "鸯": [ - "ㄧㄤ1" - ], - "鸰": [ - "ㄌㄧㄥ2" - ], - "鸱": [ - "ㄔ1" - ], - "鸲": [ - "ㄑㄩ2" - ], - "鸳": [ - "ㄩㄢ1" - ], - "鸴": [ - "ㄒㄩㄝ2" - ], - "鸵": [ - "ㄊㄨㄛ2" - ], - "鸶": [ - "ㄙ1" - ], - "鸷": [ - "ㄓ4" - ], - "鸸": [ - "ㄦ2" - ], - "鸹": [ - "ㄍㄨㄚ1" - ], - "鸺": [ - "ㄒㄧㄡ1" - ], - "鸻": [ - "ㄏㄥ2" - ], - "鸼": [ - "ㄓㄡ1" - ], - "鸽": [ - "ㄍㄜ1" - ], - "鸾": [ - "ㄌㄨㄢ2" - ], - "鸿": [ - "ㄏㄨㄥ2" - ], - "鹀": [ - "ㄨ2" - ], - "鹁": [ - "ㄅㄛ2" - ], - "鹂": [ - "ㄌㄧ2" - ], - "鹃": [ - "ㄐㄩㄢ1" - ], - "鹄": [ - "ㄍㄨ3", - "ㄏㄨ2" - ], - "鹅": [ - "ㄜ2" - ], - "鹆": [ - "ㄩ4" - ], - "鹇": [ - "ㄒㄧㄢ2" - ], - "鹈": [ - "ㄊㄧ2" - ], - "鹉": [ - "ㄨ3" - ], - "鹊": [ - "ㄑㄩㄝ4" - ], - "鹋": [ - "ㄇㄧㄠ2" - ], - "鹌": [ - "ㄢ1" - ], - "鹍": [ - "ㄎㄨㄣ1" - ], - "鹎": [ - "ㄅㄟ1" - ], - "鹏": [ - "ㄆㄥ2" - ], - "鹐": [ - "ㄑㄧㄢ1" - ], - "鹑": [ - "ㄔㄨㄣ2" - ], - "鹒": [ - "ㄍㄥ1" - ], - "鹓": [ - "ㄩㄢ1" - ], - "鹔": [ - "ㄙㄨ4" - ], - "鹕": [ - "ㄏㄨ2" - ], - "鹖": [ - "ㄏㄜ2" - ], - "鹗": [ - "ㄜ4" - ], - "鹘": [ - "ㄍㄨ3", - "ㄏㄨ2" - ], - "鹙": [ - "ㄑㄧㄡ1" - ], - "鹚": [ - "ㄘ2" - ], - "鹛": [ - "ㄇㄟ2" - ], - "鹜": [ - "ㄨ4" - ], - "鹝": [ - "ㄧ4" - ], - "鹞": [ - "ㄧㄠ4" - ], - "鹟": [ - "ㄨㄥ1" - ], - "鹠": [ - "ㄌㄧㄡ2" - ], - "鹡": [ - "ㄐㄧ2" - ], - "鹢": [ - "ㄧ4" - ], - "鹣": [ - "ㄐㄧㄢ1" - ], - "鹤": [ - "ㄏㄜ4" - ], - "鹥": [ - "ㄧ1" - ], - "鹦": [ - "ㄧㄥ1" - ], - "鹧": [ - "ㄓㄜ4" - ], - "鹨": [ - "ㄌㄧㄡ4" - ], - "鹩": [ - "ㄌㄧㄠ2" - ], - "鹪": [ - "ㄐㄧㄠ1" - ], - "鹫": [ - "ㄐㄧㄡ4" - ], - "鹬": [ - "ㄩ4" - ], - "鹭": [ - "ㄌㄨ4" - ], - "鹮": [ - "ㄏㄨㄢ2" - ], - "鹯": [ - "ㄓㄢ1" - ], - "鹰": [ - "ㄧㄥ1" - ], - "鹱": [ - "ㄏㄨ4" - ], - "鹲": [ - "ㄇㄥ2" - ], - "鹳": [ - "ㄍㄨㄢ4" - ], - "鹴": [ - "ㄕㄨㄤ1" - ], - "鹵": [ - "ㄌㄨ3", - "ㄌㄨ2" - ], - "鹶": [ - "ㄐㄧㄣ1" - ], - "鹷": [ - "ㄌㄧㄥ2" - ], - "鹸": [ - "ㄐㄧㄢ3" - ], - "鹹": [ - "ㄒㄧㄢ2", - "ㄐㄧㄢ3" - ], - "鹺": [ - "ㄘㄨㄛ2" - ], - "鹻": [ - "ㄐㄧㄢ3" - ], - "鹼": [ - "ㄐㄧㄢ3" - ], - "鹽": [ - "ㄧㄢ2", - "ㄧㄢ4" - ], - "鹾": [ - "ㄘㄨㄛ2" - ], - "鹿": [ - "ㄌㄨ4", - "ㄌㄩ2" - ], - "麀": [ - "ㄧㄡ1" - ], - "麁": [ - "ㄘㄨ1" - ], - "麂": [ - "ㄐㄧ3" - ], - "麃": [ - "ㄆㄠ2", - "ㄅㄧㄠ1", - "ㄆㄧㄠ3" - ], - "麄": [ - "ㄘㄨ1" - ], - "麅": [ - "ㄆㄠ2" - ], - "麆": [ - "ㄓㄨ4", - "ㄘㄨ1" - ], - "麇": [ - "ㄐㄩㄣ1", - "ㄑㄩㄣ2" - ], - "麈": [ - "ㄓㄨ3" - ], - "麉": [ - "ㄐㄧㄢ1" - ], - "麊": [ - "ㄇㄧ2" - ], - "麋": [ - "ㄇㄧ2" - ], - "麌": [ - "ㄩ3" - ], - "麍": [ - "ㄌㄧㄡ2" - ], - "麎": [ - "ㄔㄣ2" - ], - "麏": [ - "ㄐㄩㄣ1" - ], - "麐": [ - "ㄌㄧㄣ2" - ], - "麑": [ - "ㄋㄧ2" - ], - "麒": [ - "ㄑㄧ2" - ], - "麓": [ - "ㄌㄨ4" - ], - "麔": [ - "ㄐㄧㄡ4" - ], - "麕": [ - "ㄐㄩㄣ1", - "ㄑㄩㄣ2" - ], - "麖": [ - "ㄐㄧㄥ1" - ], - "麗": [ - "ㄌㄧ4", - "ㄌㄧ2", - "ㄌㄧ3", - "ㄙ1" - ], - "麘": [ - "ㄒㄧㄤ1" - ], - "麙": [ - "ㄒㄧㄢ2", - "ㄧㄢ2" - ], - "麚": [ - "ㄐㄧㄚ1" - ], - "麛": [ - "ㄇㄧ2" - ], - "麜": [ - "ㄌㄧ4" - ], - "麝": [ - "ㄕㄜ4" - ], - "麞": [ - "ㄓㄤ1" - ], - "麟": [ - "ㄌㄧㄣ2" - ], - "麠": [ - "ㄐㄧㄥ1" - ], - "麡": [ - "ㄑㄧ2" - ], - "麢": [ - "ㄌㄧㄥ2" - ], - "麣": [ - "ㄧㄢ2" - ], - "麤": [ - "ㄘㄨ1" - ], - "麥": [ - "ㄇㄞ4" - ], - "麦": [ - "ㄇㄞ4" - ], - "麧": [ - "ㄏㄜ2" - ], - "麨": [ - "ㄔㄠ3" - ], - "麩": [ - "ㄈㄨ1" - ], - "麪": [ - "ㄇㄧㄢ4" - ], - "麫": [ - "ㄇㄧㄢ4" - ], - "麬": [ - "ㄈㄨ1" - ], - "麭": [ - "ㄆㄠ4" - ], - "麮": [ - "ㄑㄩ4" - ], - "麯": [ - "ㄑㄩ1" - ], - "麰": [ - "ㄇㄡ2" - ], - "麱": [ - "ㄈㄨ1" - ], - "麲": [ - "ㄒㄧㄢ4", - "ㄧㄢ4" - ], - "麳": [ - "ㄌㄞ2" - ], - "麴": [ - "ㄑㄩ1" - ], - "麵": [ - "ㄇㄧㄢ4" - ], - "麶": [ - "ㄔ5" - ], - "麷": [ - "ㄈㄥ1" - ], - "麸": [ - "ㄈㄨ1" - ], - "麹": [ - "ㄑㄩ1" - ], - "麺": [ - "ㄇㄧㄢ4" - ], - "麻": [ - "ㄇㄚ2", - "ㄇㄚ1" - ], - "麼": [ - "ㄇㄜ5" - ], - "麽": [ - "ㄇㄛ2", - "ㄇㄚ2", - "ㄇㄚ5", - "ㄇㄜ5" - ], - "麾": [ - "ㄏㄨㄟ1" - ], - "麿": [ - "ㄇㄧ2" - ], - "黀": [ - "ㄗㄡ1" - ], - "黁": [ - "ㄋㄨㄣ2" - ], - "黂": [ - "ㄈㄣ2" - ], - "黃": [ - "ㄏㄨㄤ2" - ], - "黄": [ - "ㄏㄨㄤ2" - ], - "黅": [ - "ㄐㄧㄣ1" - ], - "黆": [ - "ㄍㄨㄤ1" - ], - "黇": [ - "ㄊㄧㄢ1" - ], - "黈": [ - "ㄊㄡ3" - ], - "黉": [ - "ㄏㄨㄥ2" - ], - "黊": [ - "ㄏㄨㄚ4" - ], - "黋": [ - "ㄎㄨㄤ4" - ], - "黌": [ - "ㄏㄨㄥ2" - ], - "黍": [ - "ㄕㄨ3" - ], - "黎": [ - "ㄌㄧ2" - ], - "黏": [ - "ㄋㄧㄢ2" - ], - "黐": [ - "ㄔ1", - "ㄌㄧ2" - ], - "黑": [ - "ㄏㄟ1" - ], - "黒": [ - "ㄏㄟ1" - ], - "黓": [ - "ㄧ4" - ], - "黔": [ - "ㄑㄧㄢ2" - ], - "黕": [ - "ㄉㄢ3" - ], - "黖": [ - "ㄒㄧ4" - ], - "黗": [ - "ㄊㄨㄣ1" - ], - "默": [ - "ㄇㄛ4" - ], - "黙": [ - "ㄇㄛ4" - ], - "黚": [ - "ㄑㄧㄢ2", - "ㄐㄧㄢ1" - ], - "黛": [ - "ㄉㄞ4" - ], - "黜": [ - "ㄔㄨ4" - ], - "黝": [ - "ㄧㄡ3", - "ㄧ1" - ], - "點": [ - "ㄉㄧㄢ3", - "ㄓㄢ1", - "ㄉㄨㄛ4" - ], - "黟": [ - "ㄧ1" - ], - "黠": [ - "ㄒㄧㄚ2" - ], - "黡": [ - "ㄧㄢ3" - ], - "黢": [ - "ㄑㄩ1" - ], - "黣": [ - "ㄇㄟ3" - ], - "黤": [ - "ㄧㄢ3" - ], - "黥": [ - "ㄑㄧㄥ2" - ], - "黦": [ - "ㄩㄝ4", - "ㄧㄝ4" - ], - "黧": [ - "ㄌㄧ2", - "ㄌㄞ2" - ], - "黨": [ - "ㄉㄤ3", - "ㄊㄤ3", - "ㄔㄥ4" - ], - "黩": [ - "ㄉㄨ2" - ], - "黪": [ - "ㄘㄢ3" - ], - "黫": [ - "ㄧㄢ1" - ], - "黬": [ - "ㄧㄢ2", - "ㄧㄢ3", - "ㄐㄧㄢ1" - ], - "黭": [ - "ㄧㄢ3" - ], - "黮": [ - "ㄉㄢ3", - "ㄊㄢ4", - "ㄓㄣ4", - "ㄕㄣ4" - ], - "黯": [ - "ㄢ4", - "ㄢ1" - ], - "黰": [ - "ㄓㄣ3", - "ㄧㄢ1" - ], - "黱": [ - "ㄉㄞ4", - "ㄓㄣ4" - ], - "黲": [ - "ㄘㄢ3" - ], - "黳": [ - "ㄧ1", - "ㄨㄚ1" - ], - "黴": [ - "ㄇㄟ2", - "ㄇㄟ4" - ], - "黵": [ - "ㄓㄢ3", - "ㄉㄢ3" - ], - "黶": [ - "ㄧㄢ3" - ], - "黷": [ - "ㄉㄨ2" - ], - "黸": [ - "ㄌㄨ2" - ], - "黹": [ - "ㄓ3", - "ㄒㄧㄢ4" - ], - "黺": [ - "ㄈㄣ3" - ], - "黻": [ - "ㄈㄨ2" - ], - "黼": [ - "ㄈㄨ3" - ], - "黽": [ - "ㄇㄧㄢ3", - "ㄇㄥ3", - "ㄇㄧㄣ3", - "ㄇㄥ2" - ], - "黾": [ - "ㄇㄧㄣ3", - "ㄇㄧㄢ3", - "ㄇㄥ3" - ], - "黿": [ - "ㄩㄢ2" - ], - "鼀": [ - "ㄘㄨ4" - ], - "鼁": [ - "ㄑㄩ4" - ], - "鼂": [ - "ㄔㄠ2", - "ㄓㄠ1" - ], - "鼃": [ - "ㄨㄚ1" - ], - "鼄": [ - "ㄓㄨ1" - ], - "鼅": [ - "ㄓ1" - ], - "鼆": [ - "ㄇㄥ2", - "ㄇㄥ3" - ], - "鼇": [ - "ㄠ2" - ], - "鼈": [ - "ㄅㄧㄝ1" - ], - "鼉": [ - "ㄊㄨㄛ2" - ], - "鼊": [ - "ㄅㄧ4" - ], - "鼋": [ - "ㄩㄢ2" - ], - "鼌": [ - "ㄔㄠ2" - ], - "鼍": [ - "ㄊㄨㄛ2" - ], - "鼎": [ - "ㄉㄧㄥ3", - "ㄓㄣ1" - ], - "鼏": [ - "ㄇㄧ4" - ], - "鼐": [ - "ㄋㄞ4" - ], - "鼑": [ - "ㄉㄧㄥ3" - ], - "鼒": [ - "ㄗ1" - ], - "鼓": [ - "ㄍㄨ3" - ], - "鼔": [ - "ㄍㄨ3" - ], - "鼕": [ - "ㄉㄨㄥ1", - "ㄊㄨㄥ2" - ], - "鼖": [ - "ㄈㄣ2" - ], - "鼗": [ - "ㄊㄠ2" - ], - "鼘": [ - "ㄩㄢ1" - ], - "鼙": [ - "ㄆㄧ2" - ], - "鼚": [ - "ㄔㄤ1" - ], - "鼛": [ - "ㄍㄠ1" - ], - "鼜": [ - "ㄑㄧ4", - "ㄘㄠ4" - ], - "鼝": [ - "ㄩㄢ1" - ], - "鼞": [ - "ㄊㄤ1" - ], - "鼟": [ - "ㄊㄥ1" - ], - "鼠": [ - "ㄕㄨ3" - ], - "鼡": [ - "ㄕㄨ3" - ], - "鼢": [ - "ㄈㄣ2" - ], - "鼣": [ - "ㄈㄟ4" - ], - "鼤": [ - "ㄨㄣ2", - "ㄨㄣ4" - ], - "鼥": [ - "ㄅㄚ2", - "ㄈㄟ4" - ], - "鼦": [ - "ㄉㄧㄠ1" - ], - "鼧": [ - "ㄊㄨㄛ2" - ], - "鼨": [ - "ㄓㄨㄥ1" - ], - "鼩": [ - "ㄑㄩ2" - ], - "鼪": [ - "ㄕㄥ1" - ], - "鼫": [ - "ㄕ2" - ], - "鼬": [ - "ㄧㄡ4" - ], - "鼭": [ - "ㄕ2" - ], - "鼮": [ - "ㄊㄧㄥ2" - ], - "鼯": [ - "ㄨ2" - ], - "鼰": [ - "ㄐㄩ2" - ], - "鼱": [ - "ㄐㄧㄥ1" - ], - "鼲": [ - "ㄏㄨㄣ2" - ], - "鼳": [ - "ㄐㄩ2", - "ㄒㄧ2" - ], - "鼴": [ - "ㄧㄢ3" - ], - "鼵": [ - "ㄊㄨ1" - ], - "鼶": [ - "ㄙ1" - ], - "鼷": [ - "ㄒㄧ1" - ], - "鼸": [ - "ㄒㄧㄢ4" - ], - "鼹": [ - "ㄧㄢ3" - ], - "鼺": [ - "ㄌㄟ2" - ], - "鼻": [ - "ㄅㄧ2" - ], - "鼼": [ - "ㄧㄠ4" - ], - "鼽": [ - "ㄑㄧㄡ2" - ], - "鼾": [ - "ㄏㄢ1" - ], - "鼿": [ - "ㄨ4", - "ㄏㄨㄟ1" - ], - "齀": [ - "ㄨ4" - ], - "齁": [ - "ㄏㄡ1", - "ㄎㄨ4" - ], - "齂": [ - "ㄒㄧㄝ4" - ], - "齃": [ - "ㄜ4", - "ㄏㄜ4" - ], - "齄": [ - "ㄓㄚ1" - ], - "齅": [ - "ㄒㄧㄡ4" - ], - "齆": [ - "ㄨㄥ4" - ], - "齇": [ - "ㄓㄚ1" - ], - "齈": [ - "ㄋㄨㄥ4" - ], - "齉": [ - "ㄋㄤ4" - ], - "齊": [ - "ㄑㄧ2", - "ㄐㄧ1", - "ㄐㄧ4", - "ㄗ1", - "ㄓㄞ1", - "ㄐㄧㄢ3" - ], - "齋": [ - "ㄓㄞ1" - ], - "齌": [ - "ㄐㄧ4" - ], - "齍": [ - "ㄗ1", - "ㄐㄧ4" - ], - "齎": [ - "ㄐㄧ1" - ], - "齏": [ - "ㄐㄧ1" - ], - "齐": [ - "ㄑㄧ2", - "ㄐㄧ4" - ], - "齑": [ - "ㄐㄧ1" - ], - "齒": [ - "ㄔ3" - ], - "齓": [ - "ㄔㄣ4" - ], - "齔": [ - "ㄔㄣ4" - ], - "齕": [ - "ㄏㄜ2" - ], - "齖": [ - "ㄧㄚ2", - "ㄧㄚ4" - ], - "齗": [ - "ㄧㄣ2", - "ㄧㄣ3", - "ㄧㄢ3" - ], - "齘": [ - "ㄒㄧㄝ4" - ], - "齙": [ - "ㄅㄠ1" - ], - "齚": [ - "ㄗㄜ2" - ], - "齛": [ - "ㄒㄧㄝ4", - "ㄕ4" - ], - "齜": [ - "ㄔㄞ2", - "ㄗ1" - ], - "齝": [ - "ㄔ1" - ], - "齞": [ - "ㄧㄢ3" - ], - "齟": [ - "ㄐㄩ3", - "ㄓㄚ1" - ], - "齠": [ - "ㄊㄧㄠ2" - ], - "齡": [ - "ㄌㄧㄥ2" - ], - "齢": [ - "ㄌㄧㄥ2" - ], - "齣": [ - "ㄔㄨ1", - "ㄔ3" - ], - "齤": [ - "ㄑㄩㄢ2" - ], - "齥": [ - "ㄒㄧㄝ4" - ], - "齦": [ - "ㄎㄣ3", - "ㄑㄧㄢ3", - "ㄧㄣ2", - "ㄎㄨㄣ3" - ], - "齧": [ - "ㄋㄧㄝ4" - ], - "齨": [ - "ㄐㄧㄡ4" - ], - "齩": [ - "ㄧㄠ3" - ], - "齪": [ - "ㄔㄨㄛ4" - ], - "齫": [ - "ㄩㄣ3" - ], - "齬": [ - "ㄩ3", - "ㄨ2" - ], - "齭": [ - "ㄔㄨ3" - ], - "齮": [ - "ㄧ3", - "ㄑㄧ3" - ], - "齯": [ - "ㄋㄧ2" - ], - "齰": [ - "ㄗㄜ2", - "ㄘㄜ4", - "ㄓㄚ4" - ], - "齱": [ - "ㄗㄡ1", - "ㄔㄨㄛ4" - ], - "齲": [ - "ㄑㄩ3" - ], - "齳": [ - "ㄩㄣ3" - ], - "齴": [ - "ㄧㄢ3" - ], - "齵": [ - "ㄡ2", - "ㄩ2" - ], - "齶": [ - "ㄜ4" - ], - "齷": [ - "ㄨㄛ4" - ], - "齸": [ - "ㄧ4" - ], - "齹": [ - "ㄘ1", - "ㄘㄨㄛ2" - ], - "齺": [ - "ㄗㄡ1" - ], - "齻": [ - "ㄉㄧㄢ1" - ], - "齼": [ - "ㄔㄨ3" - ], - "齽": [ - "ㄐㄧㄣ4" - ], - "齾": [ - "ㄧㄚ4", - "ㄜ4" - ], - "齿": [ - "ㄔ3" - ], - "龀": [ - "ㄔㄣ4" - ], - "龁": [ - "ㄏㄜ2" - ], - "龂": [ - "ㄧㄣ2" - ], - "龃": [ - "ㄐㄩ3" - ], - "龄": [ - "ㄌㄧㄥ2" - ], - "龅": [ - "ㄅㄠ1" - ], - "龆": [ - "ㄊㄧㄠ2" - ], - "龇": [ - "ㄗ1" - ], - "龈": [ - "ㄎㄣ3", - "ㄧㄣ2" - ], - "龉": [ - "ㄩ3" - ], - "龊": [ - "ㄔㄨㄛ4" - ], - "龋": [ - "ㄑㄩ3" - ], - "龌": [ - "ㄨㄛ4" - ], - "龍": [ - "ㄌㄨㄥ2", - "ㄇㄤ2" - ], - "龎": [ - "ㄆㄤ2" - ], - "龏": [ - "ㄍㄨㄥ1", - "ㄨㄛ4" - ], - "龐": [ - "ㄆㄤ2", - "ㄌㄨㄥ2" - ], - "龑": [ - "ㄧㄢ3" - ], - "龒": [ - "ㄌㄨㄥ2" - ], - "龓": [ - "ㄌㄨㄥ3", - "ㄌㄨㄥ2" - ], - "龔": [ - "ㄍㄨㄥ1" - ], - "龕": [ - "ㄎㄢ1", - "ㄎㄜ4" - ], - "龖": [ - "ㄉㄚ2" - ], - "龗": [ - "ㄌㄧㄥ2" - ], - "龘": [ - "ㄉㄚ2" - ], - "龙": [ - "ㄌㄨㄥ2" - ], - "龚": [ - "ㄍㄨㄥ1" - ], - "龛": [ - "ㄎㄢ1" - ], - "龜": [ - "ㄍㄨㄟ1", - "ㄑㄧㄡ1", - "ㄐㄩㄣ1" - ], - "龝": [ - "ㄑㄧㄡ1" - ], - "龞": [ - "ㄅㄧㄝ1" - ], - "龟": [ - "ㄍㄨㄟ1", - "ㄐㄩㄣ1", - "ㄑㄧㄡ1" - ], - "龠": [ - "ㄩㄝ4" - ], - "龡": [ - "ㄔㄨㄟ1" - ], - "龢": [ - "ㄏㄜ2" - ], - "龣": [ - "ㄐㄩㄝ2" - ], - "龤": [ - "ㄒㄧㄝ2" - ], - "龥": [ - "ㄩ4" - ], - "鿃": [ - "ㄕㄢ3" - ], - "鿍": [ - "ㄍㄤ4" - ], - "鿎": [ - "ㄊㄚ3", - "ㄉㄚ2" - ], - "鿏": [ - "ㄇㄞ4" - ], - "鿔": [ - "ㄍㄜ1" - ], - "鿕": [ - "ㄉㄢ1" - ], - "鿫": [ - "ㄠ4" - ], - "鿬": [ - "ㄊㄧㄢ2" - ], - "鿭": [ - "ㄋㄧ3" - ], - "": [ - "ㄧㄝ4" - ], - "": [ - "ㄗㄨㄛ3", - "ㄧㄡ3" - ], - "": [ - "ㄍㄨㄣ3" - ], - "": [ - "ㄓㄡ4", - "ㄓㄨ1" - ], - "": [ - "ㄓㄡ4", - "ㄓㄨ1" - ], - "": [ - "ㄐㄧㄝ2", - "ㄐㄧㄝ1" - ], - "": [ - "ㄨㄞ1" - ], - "": [ - "ㄏㄢ3" - ], - "": [ - "ㄏㄢ3" - ], - "": [ - "ㄓㄡ4" - ], - "": [ - "ㄓㄡ4" - ], - "": [ - "ㄕㄡ3" - ], - "": [ - "ㄍㄤ1" - ], - "": [ - "ㄎㄨㄞ3" - ], - "": [ - "ㄙㄨㄥ3" - ], - "": [ - "ㄙㄨㄥ3" - ], - "": [ - "ㄈㄥ1" - ], - "": [ - "ㄍㄨㄥ4" - ], - "": [ - "ㄍㄤ1" - ], - "": [ - "ㄏㄨㄟ4", - "ㄎㄨㄟ4" - ], - "": [ - "ㄊㄚ4" - ], - "": [ - "ㄐㄧㄢ1" - ], - "": [ - "ㄣ1" - ], - "": [ - "ㄒㄧㄠ3" - ], - "": [ - "ㄌㄡ2", - "ㄌㄩ2" - ], - "": [ - "ㄘㄢ3", - "ㄕㄢ1", - "ㄘㄣ1" - ], - "": [ - "ㄓㄨ2" - ], - "": [ - "ㄔㄡ1", - "ㄔㄡ2" - ], - "": [ - "ㄨㄤ3" - ], - "": [ - "ㄧㄤ2", - "ㄒㄧㄤ2" - ], - "": [ - "ㄗㄞ1" - ], - "": [ - "ㄅㄚ4", - "ㄅㄟ1" - ], - "": [ - "ㄅㄚ4", - "ㄅㄟ1" - ], - "": [ - "ㄓㄨㄢ1", - "ㄓㄨㄢ2", - "ㄔㄨㄢ3", - "ㄔㄨㄣ2" - ], - "": [ - "ㄑㄩㄥ2" - ], - "": [ - "ㄎㄨㄟ4", - "ㄏㄨㄟ4" - ], - "": [ - "ㄎㄨㄟ4", - "ㄏㄨㄟ4" - ], - "": [ - "ㄐㄩㄢ3" - ], - "": [ - "ㄒㄧㄣ1" - ], - "": [ - "ㄧㄢ4" - ], - "": [ - "ㄑㄧㄥ2" - ], - "": [ - "ㄑㄧㄥ2" - ], - "": [ - "ㄕㄢ4" - ], - "": [ - "ㄧㄝ2", - "ㄧㄚ2" - ], - "": [ - "ㄆㄛ1" - ], - "": [ - "ㄕㄢ4" - ], - "": [ - "ㄓㄨㄛ1" - ], - "": [ - "ㄕㄢ4" - ], - "": [ - "ㄐㄩㄝ2" - ], - "": [ - "ㄔㄨㄞ4" - ], - "": [ - "ㄓㄥ4" - ], - "": [ - "ㄔㄨㄞ4" - ], - "": [ - "ㄓㄥ4" - ], - "": [ - "ㄓㄨㄛ2" - ], - "": [ - "ㄧㄥ2" - ], - "": [ - "ㄩ2" - ], - "": [ - "ㄧㄣ4" - ], - "": [ - "ㄔㄨㄣ1" - ], - "": [ - "ㄑㄧㄡ1" - ], - "": [ - "ㄩ2" - ], - "": [ - "ㄊㄥ2" - ], - "": [ - "ㄕ1" - ], - "": [ - "ㄐㄧㄠ1" - ], - "": [ - "ㄌㄧㄝ4" - ], - "": [ - "ㄐㄧㄥ1" - ], - "": [ - "ㄐㄩ2" - ], - "": [ - "ㄊㄧ1" - ], - "": [ - "ㄆㄧ4" - ], - "": [ - "ㄧㄢ3" - ], - "": [ - "ㄌㄨㄢ2" - ], - "礼": [ - "ㄌㄧ3" - ], - "𠀀": [ - "ㄏㄜ1" - ], - "𠀁": [ - "ㄑㄧ1" - ], - "𠀃": [ - "ㄑㄧㄝ3", - "ㄐㄧ1" - ], - "𠀅": [ - "ㄏㄞ4" - ], - "𠀉": [ - "ㄑㄧㄡ1" - ], - "𠀊": [ - "ㄘㄠ1" - ], - "𠀍": [ - "ㄕ4" - ], - "𠀓": [ - "ㄙ1" - ], - "𠀔": [ - "ㄐㄩㄝ2" - ], - "𠀛": [ - "ㄩ4" - ], - "𠀝": [ - "ㄎㄨㄥ1" - ], - "𠀢": [ - "ㄗ1" - ], - "𠀦": [ - "ㄒㄧㄥ2" - ], - "𠀱": [ - "ㄇㄡ3" - ], - "𠀷": [ - "ㄐㄧ1" - ], - "𠀸": [ - "ㄧㄝ4" - ], - "𠀹": [ - "ㄐㄩㄣ1" - ], - "𠀼": [ - "ㄑㄧㄢ2", - "ㄒㄧㄚ4" - ], - "𠀽": [ - "ㄌㄨ4" - ], - "𠁁": [ - "ㄉㄡ4" - ], - "𠁉": [ - "ㄔㄨ1" - ], - "𠁗": [ - "ㄕ4", - "ㄏㄜ4" - ], - "𠁠": [ - "ㄑㄧㄝ4" - ], - "𠁥": [ - "ㄍㄚ3" - ], - "𠁭": [ - "ㄑㄧ2" - ], - "𠁷": [ - "ㄔㄢ3" - ], - "𠂄": [ - "ㄏㄨㄢ1" - ], - "𠂆": [ - "ㄧ4" - ], - "𠂇": [ - "ㄗㄨㄛ3" - ], - "𠂈": [ - "ㄐㄧㄝ2", - "ㄊㄧㄢ3" - ], - "𠂑": [ - "ㄗㄡ1" - ], - "𠂔": [ - "ㄗ3" - ], - "𠂝": [ - "ㄗㄚ1" - ], - "𠂟": [ - "ㄐㄧㄣ1" - ], - "𠂢": [ - "ㄆㄞ4" - ], - "𠂤": [ - "ㄉㄨㄟ1" - ], - "𠂥": [ - "ㄘㄨㄥ2" - ], - "𠂧": [ - "ㄕㄣ4" - ], - "𠂸": [ - "ㄏㄨㄤ2" - ], - "𠃊": [ - "ㄧㄣ3" - ], - "𠃌": [ - "ㄍㄨㄣ3" - ], - "𠃖": [ - "ㄐㄧㄡ1" - ], - "𠃫": [ - "ㄕㄣ1" - ], - "𠃺": [ - "ㄐㄧㄡ4" - ], - "𠄅": [ - "ㄧㄝ4" - ], - "𠄉": [ - "ㄉㄨㄥ4" - ], - "𠄌": [ - "ㄐㄩㄝ2", - "ㄓㄨㄟ4" - ], - "𠄍": [ - "ㄐㄧㄝ2" - ], - "𠄏": [ - "ㄉㄧㄠ3" - ], - "𠄑": [ - "ㄐㄩㄝ2" - ], - "𠄒": [ - "ㄔㄨㄟ2", - "ㄕㄚ1" - ], - "𠄖": [ - "ㄌㄧㄥ2" - ], - "𠄚": [ - "ㄊㄧㄥ1" - ], - "𠄣": [ - "ㄍㄣ4" - ], - "𠄮": [ - "ㄧㄚ4", - "ㄇㄛ3" - ], - "𠄱": [ - "ㄧ2" - ], - "𠄿": [ - "ㄨㄟ2" - ], - "𠅂": [ - "ㄐㄧㄝ2" - ], - "𠅌": [ - "ㄧ2" - ], - "𠅗": [ - "ㄉㄧㄝ4" - ], - "𠅚": [ - "ㄑㄧ2" - ], - "𠅤": [ - "ㄒㄧ2" - ], - "𠅬": [ - "ㄅㄠ1" - ], - "𠅱": [ - "ㄒㄧㄝ4" - ], - "𠅹": [ - "ㄓㄤ4" - ], - "𠆌": [ - "ㄩㄥ1" - ], - "𠆐": [ - "ㄒㄩ4" - ], - "𠆙": [ - "ㄉㄧㄝ4" - ], - "𠆛": [ - "ㄉㄢ1" - ], - "𠆟": [ - "ㄨㄟ3" - ], - "𠆣": [ - "ㄍㄨㄚ3", - "ㄓㄨㄚ3" - ], - "𠆩": [ - "ㄈㄢ4" - ], - "𠆮": [ - "ㄇㄛ4" - ], - "𠆱": [ - "ㄒㄧ1" - ], - "𠆲": [ - "ㄧㄢ3" - ], - "𠆵": [ - "ㄋㄧ2" - ], - "𠆶": [ - "ㄉㄢ4" - ], - "𠇋": [ - "ㄉㄢ3" - ], - "𠇏": [ - "ㄊㄠ1" - ], - "𠇒": [ - "ㄍㄨㄥ1" - ], - "𠇗": [ - "ㄎㄨㄚ1" - ], - "𠇘": [ - "ㄔㄨ4" - ], - "𠇯": [ - "ㄑㄩ4" - ], - "𠇱": [ - "ㄇㄛ4" - ], - "𠇳": [ - "ㄕ1" - ], - "𠇵": [ - "ㄍㄢ3" - ], - "𠇷": [ - "ㄕㄥ1" - ], - "𠈁": [ - "ㄊㄨㄛ1" - ], - "𠈅": [ - "ㄕㄡ1" - ], - "𠈊": [ - "ㄋㄧㄝ3" - ], - "𠈤": [ - "ㄩㄣ4" - ], - "𠈥": [ - "ㄍㄨㄚ3" - ], - "𠈬": [ - "ㄒㄧㄠ1" - ], - "𠈭": [ - "ㄌㄠ2" - ], - "𠈰": [ - "ㄉㄢ4" - ], - "𠈱": [ - "ㄙㄨㄛ1" - ], - "𠈵": [ - "ㄇㄤ3" - ], - "𠈶": [ - "ㄧ2" - ], - "𠈸": [ - "ㄊㄜ4" - ], - "𠈺": [ - "ㄅㄧ4" - ], - "𠉂": [ - "ㄊㄚ4" - ], - "𠉗": [ - "ㄌㄨㄛ4" - ], - "𠉢": [ - "ㄒㄧ3" - ], - "𠉣": [ - "ㄏㄨㄣ1", - "ㄏㄨㄣ4" - ], - "𠉤": [ - "ㄉㄚ2" - ], - "𠉧": [ - "ㄐㄩ4" - ], - "𠉩": [ - "ㄉㄨ2" - ], - "𠉬": [ - "ㄢ3", - "ㄧㄢ3" - ], - "𠊉": [ - "ㄇㄟ4" - ], - "𠊌": [ - "ㄖㄢ2" - ], - "𠊎": [ - "ㄞ2" - ], - "𠊏": [ - "ㄩ4", - "ㄒㄧㄢ2" - ], - "𠊒": [ - "ㄐㄧㄢ4" - ], - "𠊔": [ - "ㄑㄧ4" - ], - "𠊟": [ - "ㄇㄧㄣ3" - ], - "𠊣": [ - "ㄓㄡ4" - ], - "𠊤": [ - "ㄓ4" - ], - "𠊥": [ - "ㄓㄨㄥ3" - ], - "𠊦": [ - "ㄋㄠ3" - ], - "𠊧": [ - "ㄅㄧㄥ4" - ], - "𠊩": [ - "ㄓㄨㄢ4" - ], - "𠊪": [ - "ㄕㄨ4" - ], - "𠊫": [ - "ㄒㄩㄣ4", - "ㄑㄩㄥ2" - ], - "𠊬": [ - "ㄐㄩㄝ2" - ], - "𠊭": [ - "ㄑㄧㄢ3" - ], - "𠊰": [ - "ㄍㄨㄚ3" - ], - "𠊲": [ - "ㄊㄨ1" - ], - "𠊶": [ - "ㄧㄥ4" - ], - "𠊷": [ - "ㄓ4" - ], - "𠊾": [ - "ㄎㄨㄟ2" - ], - "𠋆": [ - "ㄔㄣ4" - ], - "𠋖": [ - "ㄌㄧㄢ4" - ], - "𠋗": [ - "ㄧㄚ1" - ], - "𠋜": [ - "ㄍㄨㄛ4" - ], - "𠋝": [ - "ㄇㄧㄠ3" - ], - "𠋞": [ - "ㄕㄜ2" - ], - "𠋟": [ - "ㄩ3" - ], - "𠋡": [ - "ㄙ4" - ], - "𠋢": [ - "ㄙㄡ3", - "ㄓㄡ4" - ], - "𠋤": [ - "ㄓ4" - ], - "𠋧": [ - "ㄑㄧㄝ1" - ], - "𠋩": [ - "ㄈㄨ4" - ], - "𠋬": [ - "ㄐㄩ2" - ], - "𠋭": [ - "ㄅㄟ4" - ], - "𠋯": [ - "ㄅㄧ4" - ], - "𠋲": [ - "ㄙㄨㄛ3" - ], - "𠋵": [ - "ㄑㄧㄢ3" - ], - "𠋶": [ - "ㄇㄧㄥ3" - ], - "𠋷": [ - "ㄔㄢ3" - ], - "𠋺": [ - "ㄙㄠ1" - ], - "𠋻": [ - "ㄐㄧ1" - ], - "𠌕": [ - "ㄍㄨㄥ4" - ], - "𠌖": [ - "ㄑㄩㄥ2" - ], - "𠌚": [ - "ㄋㄨㄥ4", - "ㄖㄨㄥ4" - ], - "𠌞": [ - "ㄙㄡ3" - ], - "𠌟": [ - "ㄙㄡ3" - ], - "𠌠": [ - "ㄧㄠ2" - ], - "𠌪": [ - "ㄔㄡ1", - "ㄊㄠ1" - ], - "𠌭": [ - "ㄕㄨㄞ4" - ], - "𠌮": [ - "ㄓㄜ1" - ], - "𠌯": [ - "ㄌㄧ4", - "ㄌㄧ2" - ], - "𠌰": [ - "ㄍㄞ4" - ], - "𠌱": [ - "ㄙㄨㄟ1" - ], - "𠌲": [ - "ㄓㄢ1" - ], - "𠌴": [ - "ㄓㄨㄤ4" - ], - "𠌽": [ - "ㄈㄨ4" - ], - "𠍃": [ - "ㄐㄧ1" - ], - "𠍄": [ - "ㄉㄡ1" - ], - "𠍗": [ - "ㄏㄨㄟ4" - ], - "𠍚": [ - "ㄐㄧㄢ3" - ], - "𠍛": [ - "ㄧㄢ3" - ], - "𠍜": [ - "ㄓ4" - ], - "𠍨": [ - "ㄇㄟ3" - ], - "𠍩": [ - "ㄧㄠ4" - ], - "𠍪": [ - "ㄉㄧ1" - ], - "𠍫": [ - "ㄧ2" - ], - "𠍯": [ - "ㄅㄧㄝ2" - ], - "𠍲": [ - "ㄑㄩ2" - ], - "𠍳": [ - "ㄧ4" - ], - "𠍵": [ - "ㄧㄤ4" - ], - "𠍹": [ - "ㄓㄚ2" - ], - "𠍽": [ - "ㄕㄚ4" - ], - "𠎙": [ - "ㄌㄞ2" - ], - "𠎮": [ - "ㄐㄩㄝ2" - ], - "𠎰": [ - "ㄑㄧ1" - ], - "𠎳": [ - "ㄩ2" - ], - "𠎶": [ - "ㄗㄞ3" - ], - "𠎷": [ - "ㄙㄚ4" - ], - "𠎸": [ - "ㄙㄜ4" - ], - "𠎻": [ - "ㄉㄨㄣ4" - ], - "𠎿": [ - "ㄐㄧㄝ3" - ], - "𠏀": [ - "ㄎㄜ1" - ], - "𠏃": [ - "ㄩㄝ1" - ], - "𠏇": [ - "ㄐㄧㄢ3" - ], - "𠏈": [ - "ㄧㄠ2" - ], - "𠏓": [ - "ㄒㄧㄢ1" - ], - "𠏕": [ - "ㄒㄧㄠ4" - ], - "𠏖": [ - "ㄑㄧㄠ1" - ], - "𠏚": [ - "ㄩ4" - ], - "𠏛": [ - "ㄑㄩ2" - ], - "𠏡": [ - "ㄒㄧㄢ1", - "ㄌㄧㄥ2" - ], - "𠏢": [ - "ㄌㄨㄛ4" - ], - "𠏤": [ - "ㄍㄨㄤ3" - ], - "𠏧": [ - "ㄔㄥ1" - ], - "𠏨": [ - "ㄔㄨㄤ3" - ], - "𠏩": [ - "ㄧ2" - ], - "𠏫": [ - "ㄓㄥ3" - ], - "𠏭": [ - "ㄗㄨㄥ4" - ], - "𠏮": [ - "ㄉㄨㄟ4" - ], - "𠏰": [ - "ㄓㄞ3" - ], - "𠏿": [ - "ㄈㄟ3" - ], - "𠐀": [ - "ㄧ2" - ], - "𠐁": [ - "ㄇㄥ2" - ], - "𠐈": [ - "ㄅㄧㄢ1", - "ㄆㄧㄢ2" - ], - "𠐉": [ - "ㄐㄧㄝ2" - ], - "𠐊": [ - "ㄕㄨ4" - ], - "𠐋": [ - "ㄌㄧㄠ2" - ], - "𠐌": [ - "ㄅㄧ3", - "ㄅㄚ4" - ], - "𠐍": [ - "ㄙㄨ2" - ], - "𠐑": [ - "ㄉㄧ4" - ], - "𠐡": [ - "ㄅㄟ4" - ], - "𠐢": [ - "ㄨㄣ4" - ], - "𠐧": [ - "ㄇㄥ2" - ], - "𠐩": [ - "ㄔㄢ3" - ], - "𠐵": [ - "ㄉㄠ3" - ], - "𠐺": [ - "ㄆㄧㄣ2" - ], - "𠐻": [ - "ㄐㄧㄢ3" - ], - "𠐼": [ - "ㄌㄧㄣ4" - ], - "𠐽": [ - "ㄍㄨㄟ4", - "ㄍㄨㄟ1" - ], - "𠐾": [ - "ㄑㄧ1" - ], - "𠐿": [ - "ㄏㄨㄥ1" - ], - "𠑃": [ - "ㄐㄧ2" - ], - "𠑄": [ - "ㄒㄧㄝ4" - ], - "𠑅": [ - "ㄓㄥ1" - ], - "𠑆": [ - "ㄔㄢ3" - ], - "𠑐": [ - "ㄧㄠ2" - ], - "𠑑": [ - "ㄔㄢ3" - ], - "𠑘": [ - "ㄉㄧㄢ1" - ], - "𠑙": [ - "ㄔㄨㄥ4" - ], - "𠑚": [ - "ㄋㄟ2" - ], - "𠑛": [ - "ㄋㄟ2" - ], - "𠑞": [ - "ㄓㄞ4" - ], - "𠑟": [ - "ㄅㄧㄢ1", - "ㄆㄧㄢ2" - ], - "𠑡": [ - "ㄔㄢ3" - ], - "𠑪": [ - "ㄒㄧㄠ1" - ], - "𠑯": [ - "ㄘㄨ4" - ], - "𠑰": [ - "ㄒㄧㄣ1" - ], - "𠑱": [ - "ㄐㄧㄥ3" - ], - "𠑲": [ - "ㄑㄧㄢ1" - ], - "𠑴": [ - "ㄑㄧㄥ1" - ], - "𠑹": [ - "ㄍㄨ3" - ], - "𠒄": [ - "ㄨ4" - ], - "𠒜": [ - "ㄩㄢ3" - ], - "𠒝": [ - "ㄅㄧㄥ3" - ], - "𠒢": [ - "ㄨㄢ2" - ], - "𠒰": [ - "ㄋㄧㄠ3", - "ㄋㄧ2" - ], - "𠒵": [ - "ㄌㄧㄢ4" - ], - "𠒸": [ - "ㄖㄠ3" - ], - "𠒾": [ - "ㄈㄢ4" - ], - "𠒿": [ - "ㄉㄧ2" - ], - "𠓊": [ - "ㄏㄨㄟ1", - "ㄉㄢ1" - ], - "𠓋": [ - "ㄧ4" - ], - "𠓌": [ - "ㄒㄧㄢ2" - ], - "𠓖": [ - "ㄌㄢ2" - ], - "𠓗": [ - "ㄈㄨ4" - ], - "𠓙": [ - "ㄒㄩㄥ4" - ], - "𠓜": [ - "ㄌㄧㄤ3" - ], - "𠓝": [ - "ㄊㄠ1" - ], - "𠓞": [ - "ㄐㄧ2" - ], - "𠓢": [ - "ㄐㄧㄝ4" - ], - "𠓣": [ - "ㄓㄚ2" - ], - "𠓤": [ - "ㄕ1" - ], - "𠓪": [ - "ㄑㄧ2" - ], - "𠓫": [ - "ㄅㄧㄢ3" - ], - "𠓭": [ - "ㄌㄢ3" - ], - "𠓮": [ - "ㄌㄧㄣ3" - ], - "𠓶": [ - "ㄓ4" - ], - "𠓷": [ - "ㄅㄧ4", - "ㄔㄥ2" - ], - "𠓸": [ - "ㄕㄥ4" - ], - "𠓽": [ - "ㄕㄥ4" - ], - "𠓿": [ - "ㄑㄧㄣ2" - ], - "𠔂": [ - "ㄅㄧㄠ1" - ], - "𠔃": [ - "ㄒㄧ1" - ], - "𠔉": [ - "ㄐㄩㄢ4" - ], - "𠔋": [ - "ㄐㄧ1", - "ㄒㄧㄣ4" - ], - "𠔍": [ - "ㄒㄧ1" - ], - "𠔎": [ - "ㄑㄧㄣ3" - ], - "𠔑": [ - "ㄏㄞ4" - ], - "𠔕": [ - "ㄌㄨㄣ2" - ], - "𠔠": [ - "ㄩㄝ4" - ], - "𠔨": [ - "ㄌㄧㄢ2" - ], - "𠔯": [ - "ㄅㄢ1" - ], - "𠔲": [ - "ㄏㄥ2" - ], - "𠔶": [ - "ㄑㄧ1" - ], - "𠔺": [ - "ㄑㄧㄢ1" - ], - "𠔻": [ - "ㄓㄥ4" - ], - "𠔼": [ - "ㄇㄠ3" - ], - "𠕁": [ - "ㄘㄨㄥ2" - ], - "𠕄": [ - "ㄋㄚ4" - ], - "𠕊": [ - "ㄊㄧㄥ3" - ], - "𠕌": [ - "ㄗㄨㄥ1" - ], - "𠕕": [ - "ㄐㄩㄥ1" - ], - "𠕖": [ - "ㄓㄠ3" - ], - "𠕟": [ - "ㄋㄧㄢ3" - ], - "𠕠": [ - "ㄔㄥ2" - ], - "𠕣": [ - "ㄑㄧㄚ4" - ], - "𠕦": [ - "ㄩ4" - ], - "𠕧": [ - "ㄐㄧㄠ3" - ], - "𠕭": [ - "ㄓㄠ4" - ], - "𠕳": [ - "ㄉㄧ2" - ], - "𠕴": [ - "ㄐㄧㄡ1" - ], - "𠕸": [ - "ㄙㄨㄟ3" - ], - "𠕻": [ - "ㄧㄠ1" - ], - "𠕿": [ - "ㄨㄤ1" - ], - "𠖂": [ - "ㄌㄧㄠ2" - ], - "𠖄": [ - "ㄊㄨㄥ2" - ], - "𠖆": [ - "ㄇㄥ4" - ], - "𠖋": [ - "ㄧㄡ3" - ], - "𠖓": [ - "ㄙ1" - ], - "𠖛": [ - "ㄌㄡ4" - ], - "𠖟": [ - "ㄧㄣ1" - ], - "𠖥": [ - "ㄔㄨㄥ3" - ], - "𠖫": [ - "ㄍㄢ3" - ], - "𠖬": [ - "ㄐㄧㄡ1" - ], - "𠖶": [ - "ㄑㄧㄣ4" - ], - "𠖷": [ - "ㄐㄩㄥ3" - ], - "𠖹": [ - "ㄒㄧㄝ2", - "ㄒㄧㄚ2" - ], - "𠗂": [ - "ㄏㄜ4" - ], - "𠗆": [ - "ㄊㄠ1" - ], - "𠗈": [ - "ㄑㄧㄡ2" - ], - "𠗉": [ - "ㄒㄧㄝ2" - ], - "𠗊": [ - "ㄐㄧㄥ4" - ], - "𠗋": [ - "ㄋㄧㄢ3" - ], - "𠗌": [ - "ㄐㄧㄥ4" - ], - "𠗏": [ - "ㄐㄧ2" - ], - "𠗘": [ - "ㄊㄧㄢ3" - ], - "𠗚": [ - "ㄘㄨㄟ4" - ], - "𠗛": [ - "ㄉㄧㄝ2" - ], - "𠗝": [ - "ㄑㄧㄥ3" - ], - "𠗥": [ - "ㄆㄧㄥ4" - ], - "𠗦": [ - "ㄆㄧㄥ2" - ], - "𠗨": [ - "ㄉㄧㄝ2" - ], - "𠗩": [ - "ㄌㄡ4" - ], - "𠗳": [ - "ㄌㄧㄢ3" - ], - "𠗴": [ - "ㄏㄢ2" - ], - "𠗵": [ - "ㄆㄤ1" - ], - "𠗶": [ - "ㄊㄤ2" - ], - "𠗺": [ - "ㄧ2" - ], - "𠗻": [ - "ㄒㄩㄢ2" - ], - "𠗼": [ - "ㄙㄨㄛ4" - ], - "𠗽": [ - "ㄌㄧㄡ2" - ], - "𠗾": [ - "ㄕㄨㄤ3" - ], - "𠗿": [ - "ㄕㄣ4" - ], - "𠘁": [ - "ㄅㄨ4" - ], - "𠘂": [ - "ㄙㄡ1" - ], - "𠘅": [ - "ㄑㄧㄣ2" - ], - "𠘆": [ - "ㄕㄣ3" - ], - "𠘊": [ - "ㄋㄨㄥ4" - ], - "𠘋": [ - "ㄊㄧㄥ3" - ], - "𠘌": [ - "ㄐㄧㄤ1" - ], - "𠘕": [ - "ㄒㄧ1" - ], - "𠘖": [ - "ㄓ4" - ], - "𠘝": [ - "ㄌㄞ4" - ], - "𠘞": [ - "ㄌㄧ4" - ], - "𠘟": [ - "ㄌㄧ4" - ], - "𠘢": [ - "ㄏㄜ2" - ], - "𠘣": [ - "ㄐㄧㄠ4" - ], - "𠘥": [ - "ㄧㄢ2" - ], - "𠘧": [ - "ㄕㄨ1" - ], - "𠘪": [ - "ㄕ3" - ], - "𠘱": [ - "ㄓㄣ3" - ], - "𠘳": [ - "ㄧㄡ1" - ], - "𠘺": [ - "ㄙㄨㄛ4" - ], - "𠘻": [ - "ㄨ2" - ], - "𠙁": [ - "ㄔㄤ2" - ], - "𠙂": [ - "ㄘㄨㄥ2" - ], - "𠙆": [ - "ㄐㄩ4" - ], - "𠙎": [ - "ㄕㄨ1" - ], - "𠙔": [ - "ㄐㄧㄡ4" - ], - "𠙕": [ - "ㄨㄟ2" - ], - "𠙞": [ - "ㄏㄨㄛ4" - ], - "𠙤": [ - "ㄐㄧㄝ1" - ], - "𠙬": [ - "ㄗㄠ3" - ], - "𠙶": [ - "ㄡ3" - ], - "𠙼": [ - "ㄍㄨㄚ3" - ], - "𠚃": [ - "ㄏㄠ2" - ], - "𠚄": [ - "ㄌㄧ3" - ], - "𠚅": [ - "ㄓ4" - ], - "𠚆": [ - "ㄒㄧㄢ4" - ], - "𠚉": [ - "ㄅㄨ1" - ], - "𠚊": [ - "ㄔㄤ4" - ], - "𠚓": [ - "ㄩㄣ1" - ], - "𠚔": [ - "ㄏㄜ2" - ], - "𠚜": [ - "ㄊㄠ1" - ], - "𠚠": [ - "ㄅㄧㄠ1" - ], - "𠚥": [ - "ㄉㄧㄠ1" - ], - "𠚧": [ - "ㄦ4" - ], - "𠚨": [ - "ㄐㄧㄡ1" - ], - "𠚭": [ - "ㄉㄧ4" - ], - "𠚮": [ - "ㄧ4" - ], - "𠚯": [ - "ㄎㄨㄣ1" - ], - "𠚱": [ - "ㄓㄜ2" - ], - "𠚳": [ - "ㄎㄨㄛ4" - ], - "𠚴": [ - "ㄓㄡ1" - ], - "𠚵": [ - "ㄐㄩ4" - ], - "𠚹": [ - "ㄕㄢ4" - ], - "𠚺": [ - "ㄕㄚ4" - ], - "𠚻": [ - "ㄉㄧㄠ1" - ], - "𠚼": [ - "ㄅㄢ1" - ], - "𠚽": [ - "ㄐㄧ1" - ], - "𠛀": [ - "ㄓㄨㄥ1" - ], - "𠛃": [ - "ㄧ2" - ], - "𠛅": [ - "ㄎㄡ1" - ], - "𠛆": [ - "ㄨ1" - ], - "𠛊": [ - "ㄍㄜ1" - ], - "𠛋": [ - "ㄅㄚ1" - ], - "𠛎": [ - "ㄍㄡ1" - ], - "𠛑": [ - "ㄒㄧㄢ2" - ], - "𠛒": [ - "ㄍㄨㄚ1" - ], - "𠛓": [ - "ㄌㄧㄡ3" - ], - "𠛔": [ - "ㄔ3" - ], - "𠛕": [ - "ㄍㄨㄞ1" - ], - "𠛖": [ - "ㄔㄨㄢ1" - ], - "𠛘": [ - "ㄌㄧ2" - ], - "𠛙": [ - "ㄘㄨ4" - ], - "𠛚": [ - "ㄕㄨㄚ1" - ], - "𠛡": [ - "ㄅㄧ3" - ], - "𠛥": [ - "ㄅㄧㄥ3" - ], - "𠛦": [ - "ㄌㄧ4" - ], - "𠛩": [ - "ㄐㄧㄡ3" - ], - "𠛪": [ - "ㄊㄧㄠ1", - "ㄉㄧㄠ1" - ], - "𠛫": [ - "ㄉㄨㄛ3" - ], - "𠛭": [ - "ㄧㄢ1", - "ㄩㄢ1" - ], - "𠛮": [ - "ㄑㄩㄢ1" - ], - "𠛱": [ - "ㄌㄧㄝ4", - "ㄗㄚ1" - ], - "𠛳": [ - "ㄎㄜ4", - "ㄏㄜ2" - ], - "𠛵": [ - "ㄍㄣ1" - ], - "𠛶": [ - "ㄓㄣ1" - ], - "𠛸": [ - "ㄈㄣ2" - ], - "𠜁": [ - "ㄧ2" - ], - "𠜃": [ - "ㄐㄧㄡ4" - ], - "𠜄": [ - "ㄒㄩ4" - ], - "𠜅": [ - "ㄐㄧㄠ3" - ], - "𠜈": [ - "ㄌㄩ4" - ], - "𠜉": [ - "ㄐㄧㄡ3" - ], - "𠜋": [ - "ㄔㄡ3" - ], - "𠜎": [ - "ㄒㄧㄢ4" - ], - "𠜐": [ - "ㄎㄨㄞ4" - ], - "𠜑": [ - "ㄉㄨㄟ4" - ], - "𠜖": [ - "ㄌㄨㄛ1" - ], - "𠜗": [ - "ㄒㄧ1", - "ㄒㄧ4" - ], - "𠜘": [ - "ㄑㄧㄣ4" - ], - "𠜙": [ - "ㄅㄨ4" - ], - "𠜤": [ - "ㄑㄧㄚ4" - ], - "𠜱": [ - "ㄆㄧ1" - ], - "𠜲": [ - "ㄧㄚ1" - ], - "𠜳": [ - "ㄅㄥ1" - ], - "𠜴": [ - "ㄍㄨㄛ3" - ], - "𠜵": [ - "ㄍㄨㄚ1" - ], - "𠜹": [ - "ㄐㄩ2" - ], - "𠜼": [ - "ㄑㄧㄚ1" - ], - "𠜾": [ - "ㄐㄩㄝ2", - "ㄍㄨㄟ4" - ], - "𠝄": [ - "ㄌㄧ4" - ], - "𠝐": [ - "ㄏㄨㄚ1" - ], - "𠝑": [ - "ㄐㄧㄠ1" - ], - "𠝘": [ - "ㄑㄧㄚ4" - ], - "𠝚": [ - "ㄓㄚ2", - "ㄓㄜ2" - ], - "𠝛": [ - "ㄑㄧㄚ1" - ], - "𠝝": [ - "ㄓㄜ2", - "ㄓㄚ2" - ], - "𠝞": [ - "ㄔㄚ1" - ], - "𠝟": [ - "ㄧㄥ3" - ], - "𠝢": [ - "ㄧㄢ1" - ], - "𠝤": [ - "ㄔㄨㄥ1" - ], - "𠝨": [ - "ㄔ3" - ], - "𠝪": [ - "ㄨㄢ1" - ], - "𠝬": [ - "ㄙㄡ1" - ], - "𠝲": [ - "ㄎㄢ3" - ], - "𠝳": [ - "ㄩㄢ2" - ], - "𠝽": [ - "ㄔㄡ2" - ], - "𠝿": [ - "ㄙㄨㄛ3" - ], - "𠞀": [ - "ㄊㄨ1" - ], - "𠞃": [ - "ㄓㄜ2" - ], - "𠞄": [ - "ㄊㄧ1", - "ㄔ3" - ], - "𠞆": [ - "ㄨ1" - ], - "𠞈": [ - "ㄉㄚ1" - ], - "𠞉": [ - "ㄌㄧ4" - ], - "𠞊": [ - "ㄔㄚ1", - "ㄔㄞ1", - "ㄔㄚ2" - ], - "𠞕": [ - "ㄖㄨㄥ2" - ], - "𠞖": [ - "ㄍㄨㄥ4" - ], - "𠞗": [ - "ㄑㄩㄝ4" - ], - "𠞙": [ - "ㄌㄧ2" - ], - "𠞞": [ - "ㄊㄠ1" - ], - "𠞤": [ - "ㄌㄧ4" - ], - "𠞧": [ - "ㄇㄧ2" - ], - "𠞩": [ - "ㄔ4", - "ㄕㄨㄞ4" - ], - "𠞬": [ - "ㄍㄨㄣ4" - ], - "𠞭": [ - "ㄌㄡ2", - "ㄌㄡ4" - ], - "𠞮": [ - "ㄔㄨㄤ3" - ], - "𠞯": [ - "ㄙㄨㄛ3" - ], - "𠞰": [ - "ㄐㄧㄠ3" - ], - "𠞱": [ - "ㄐㄧㄣ4" - ], - "𠞵": [ - "ㄈㄚ2" - ], - "𠞶": [ - "ㄓㄞ1" - ], - "𠞾": [ - "ㄐㄧㄣ4" - ], - "𠞿": [ - "ㄘㄨㄟ4" - ], - "𠟂": [ - "ㄘㄥ4" - ], - "𠟃": [ - "ㄗㄨㄣ3" - ], - "𠟅": [ - "ㄓㄠ4", - "ㄖ4", - "ㄓ4" - ], - "𠟈": [ - "ㄆㄧㄝ1" - ], - "𠟉": [ - "ㄓㄢ3", - "ㄔㄢ4" - ], - "𠟊": [ - "ㄒㄧ1" - ], - "𠟋": [ - "ㄧㄠ4" - ], - "𠟌": [ - "ㄈㄨ3", - "ㄆㄡ3" - ], - "𠟍": [ - "ㄔㄨㄥ1" - ], - "𠟓": [ - "ㄘㄨㄟ4" - ], - "𠟗": [ - "ㄍㄨㄚ1" - ], - "𠟣": [ - "ㄐㄧ1" - ], - "𠟦": [ - "ㄙㄜ4" - ], - "𠟧": [ - "ㄓㄢ1" - ], - "𠟨": [ - "ㄌㄧㄥ4", - "ㄌㄧㄥ2" - ], - "𠟩": [ - "ㄙㄜ4" - ], - "𠟪": [ - "ㄧㄝ4" - ], - "𠟰": [ - "ㄐㄩ1" - ], - "𠟶": [ - "ㄊㄨ1" - ], - "𠟺": [ - "ㄖㄨ2", - "ㄖㄨㄢ3" - ], - "𠟻": [ - "ㄗㄜ2", - "ㄅㄞ4" - ], - "𠟼": [ - "ㄏㄨㄢ2" - ], - "𠠁": [ - "ㄒㄧㄢ3" - ], - "𠠃": [ - "ㄑㄧㄢ1" - ], - "𠠄": [ - "ㄓㄠ4" - ], - "𠠋": [ - "ㄘㄢ2" - ], - "𠠎": [ - "ㄎㄨㄛ4" - ], - "𠠏": [ - "ㄌㄧ4" - ], - "𠠐": [ - "ㄖㄡ2" - ], - "𠠔": [ - "ㄉㄨ2" - ], - "𠠗": [ - "ㄌㄧㄝ4" - ], - "𠠜": [ - "ㄧㄥ1" - ], - "𠠝": [ - "ㄌㄧ4" - ], - "𠠠": [ - "ㄉㄨ2" - ], - "𠠢": [ - "ㄌㄧㄥ2" - ], - "𠠪": [ - "ㄨㄢ1" - ], - "𠠯": [ - "ㄉㄧㄝ2" - ], - "𠠳": [ - "ㄐㄧㄡ1" - ], - "𠠵": [ - "ㄌㄧ4" - ], - "𠠶": [ - "ㄎㄨ1" - ], - "𠠷": [ - "ㄎㄥ1" - ], - "𠠹": [ - "ㄓㄣ3" - ], - "𠡀": [ - "ㄏㄜ4" - ], - "𠡂": [ - "ㄅㄧ4", - "ㄈㄨ2" - ], - "𠡄": [ - "ㄆㄧ1" - ], - "𠡊": [ - "ㄏㄤ1" - ], - "𠡑": [ - "ㄓㄨㄛ2" - ], - "𠡒": [ - "ㄉㄨㄟ3" - ], - "𠡔": [ - "ㄧ4" - ], - "𠡜": [ - "ㄎㄜ4" - ], - "𠡝": [ - "ㄧ4" - ], - "𠡞": [ - "ㄇㄛ4" - ], - "𠡡": [ - "ㄘㄢ2" - ], - "𠡣": [ - "ㄍㄥ3" - ], - "𠡤": [ - "ㄎㄜ4" - ], - "𠡥": [ - "ㄕ4" - ], - "𠡭": [ - "ㄌㄧㄥ2", - "ㄌㄧㄥ4" - ], - "𠡮": [ - "ㄅㄥ1", - "ㄎㄥ1" - ], - "𠡱": [ - "ㄉㄨㄢ4" - ], - "𠡶": [ - "ㄐㄩㄢ1" - ], - "𠡷": [ - "ㄋㄠ3" - ], - "𠡸": [ - "ㄗ3" - ], - "𠡻": [ - "ㄗㄨㄥ4" - ], - "𠢃": [ - "ㄊㄤ2" - ], - "𠢆": [ - "ㄒㄧㄚ2" - ], - "𠢇": [ - "ㄏㄢ4" - ], - "𠢌": [ - "ㄌㄩㄝ4" - ], - "𠢍": [ - "ㄑㄧㄢ2" - ], - "𠢓": [ - "ㄇㄛ4" - ], - "𠢔": [ - "ㄡ1" - ], - "𠢕": [ - "ㄏㄠ2" - ], - "𠢙": [ - "ㄓㄚ2" - ], - "𠢚": [ - "ㄐㄩㄢ4" - ], - "𠢛": [ - "ㄘㄨㄥ2" - ], - "𠢠": [ - "ㄌㄧ4", - "ㄐㄧ2" - ], - "𠢡": [ - "ㄓㄚ2" - ], - "𠢢": [ - "ㄧㄡ3" - ], - "𠢣": [ - "ㄉㄧㄢ4" - ], - "𠢤": [ - "ㄐㄩㄝ2" - ], - "𠢥": [ - "ㄅㄟ4" - ], - "𠢩": [ - "ㄧㄠ3" - ], - "𠢪": [ - "ㄆㄧㄝ1" - ], - "𠢱": [ - "ㄐㄧㄣ4" - ], - "𠢲": [ - "ㄎㄞ3", - "ㄒㄧㄝ4" - ], - "𠢳": [ - "ㄙㄜ4" - ], - "𠢴": [ - "ㄧㄤ3" - ], - "𠢵": [ - "ㄐㄧㄣ4" - ], - "𠢹": [ - "ㄎㄜ4" - ], - "𠣄": [ - "ㄔㄢ1" - ], - "𠣇": [ - "ㄋㄧㄢ3" - ], - "𠣉": [ - "ㄨㄢ4" - ], - "𠣊": [ - "ㄌㄩ4" - ], - "𠣐": [ - "ㄩㄣ2" - ], - "𠣑": [ - "ㄧㄠ1" - ], - "𠣒": [ - "ㄅㄠ1" - ], - "𠣕": [ - "ㄐㄩㄣ1" - ], - "𠣖": [ - "ㄒㄩㄢ2" - ], - "𠣘": [ - "ㄓㄡ1" - ], - "𠣠": [ - "ㄎㄨㄟ4" - ], - "𠣡": [ - "ㄈㄥ4" - ], - "𠣪": [ - "ㄑㄩ2" - ], - "𠣫": [ - "ㄕㄠ4" - ], - "𠣬": [ - "ㄙㄨㄣ3" - ], - "𠣰": [ - "ㄉㄨ1" - ], - "𠣲": [ - "ㄎㄨㄞ3" - ], - "𠣳": [ - "ㄆㄠ4" - ], - "𠣺": [ - "ㄅㄠ4" - ], - "𠣾": [ - "ㄈㄨ4" - ], - "𠣿": [ - "ㄐㄧㄡ4" - ], - "𠤀": [ - "ㄖㄢ2" - ], - "𠤄": [ - "ㄐㄩ1" - ], - "𠤊": [ - "ㄑㄩㄥ2" - ], - "𠤍": [ - "ㄓㄡ1" - ], - "𠤎": [ - "ㄏㄨㄚ4" - ], - "𠤏": [ - "ㄅㄠ3" - ], - "𠤕": [ - "ㄧ2", - "ㄒㄧㄢ2" - ], - "𠤗": [ - "ㄧ2" - ], - "𠤘": [ - "ㄧ2", - "ㄧ3" - ], - "𠤝": [ - "ㄇㄠ4" - ], - "𠤦": [ - "ㄖㄨㄢ3", - "ㄖㄨ2" - ], - "𠤫": [ - "ㄘ2" - ], - "𠤮": [ - "ㄏㄢ2" - ], - "𠤰": [ - "ㄘㄨㄥ2", - "ㄒㄩㄢ2" - ], - "𠤴": [ - "ㄒㄧ4" - ], - "𠤹": [ - "ㄑㄩㄢ2" - ], - "𠤺": [ - "ㄊㄧㄠ2" - ], - "𠤼": [ - "ㄉㄧㄠ4" - ], - "𠤾": [ - "ㄏㄢ2" - ], - "𠥇": [ - "ㄧㄝ3" - ], - "𠥍": [ - "ㄜ1" - ], - "𠥎": [ - "ㄨㄟ2" - ], - "𠥐": [ - "ㄘㄤ1" - ], - "𠥑": [ - "ㄉㄧㄠ4" - ], - "𠥕": [ - "ㄜ4" - ], - "𠥖": [ - "ㄉㄧ4" - ], - "𠥘": [ - "ㄙㄨㄢ3" - ], - "𠥙": [ - "ㄑㄩㄢ2" - ], - "𠥜": [ - "ㄜ4" - ], - "𠥝": [ - "ㄡ1", - "ㄡ3" - ], - "𠥞": [ - "ㄒㄩㄢ2" - ], - "𠥢": [ - "ㄨ3" - ], - "𠥦": [ - "ㄧ4" - ], - "𠥨": [ - "ㄇㄡ2" - ], - "𠥰": [ - "ㄏㄨ1" - ], - "𠥴": [ - "ㄏㄢ2", - "ㄍㄢ1" - ], - "𠥿": [ - "ㄕ2" - ], - "𠦃": [ - "ㄙㄚ4" - ], - "𠦈": [ - "ㄅㄧ4" - ], - "𠦊": [ - "ㄏㄢ2" - ], - "𠦋": [ - "ㄐㄧㄥ4" - ], - "𠦌": [ - "ㄒㄧ4" - ], - "𠦎": [ - "ㄑㄧㄣ4" - ], - "𠦏": [ - "ㄘㄨㄛ2" - ], - "𠦐": [ - "ㄘ4" - ], - "𠦒": [ - "ㄅㄢ1" - ], - "𠦗": [ - "ㄉㄨㄟ1" - ], - "𠦜": [ - "ㄒㄧ4", - "ㄕㄨ4" - ], - "𠦧": [ - "ㄓ1" - ], - "𠦨": [ - "ㄌㄨㄢ4" - ], - "𠦪": [ - "ㄏㄨ1" - ], - "𠦫": [ - "ㄐㄧ2" - ], - "𠦬": [ - "ㄍㄨㄞ1" - ], - "𠦲": [ - "ㄆㄤ1" - ], - "𠧀": [ - "ㄓㄨ1" - ], - "𠧅": [ - "ㄅㄧ3" - ], - "𠧇": [ - "ㄩ2" - ], - "𠧒": [ - "ㄑㄧ3" - ], - "𠧕": [ - "ㄏㄜ2" - ], - "𠧖": [ - "ㄔㄨ3" - ], - "𠧙": [ - "ㄕㄠ4" - ], - "𠧚": [ - "ㄔ4" - ], - "𠧛": [ - "ㄅㄛ2" - ], - "𠧟": [ - "ㄖㄥ2", - "ㄋㄞ3" - ], - "𠧠": [ - "ㄧㄡ2" - ], - "𠧤": [ - "ㄋㄞ3" - ], - "𠧩": [ - "ㄏㄨㄟ4", - "ㄏㄨㄟ3" - ], - "𠧪": [ - "ㄊㄧㄠ2", - "ㄧㄡ3" - ], - "𠧫": [ - "ㄅㄢ3" - ], - "𠧰": [ - "ㄒㄩ1" - ], - "𠧴": [ - "ㄧㄡ2", - "ㄧㄡ4" - ], - "𠧵": [ - "ㄔ4" - ], - "𠧿": [ - "ㄏㄥ2" - ], - "𠨃": [ - "ㄨㄞ4" - ], - "𠨆": [ - "ㄒㄧㄝ4" - ], - "𠨊": [ - "ㄐㄩㄝ2" - ], - "𠨌": [ - "ㄙㄨㄟ1" - ], - "𠨍": [ - "ㄑㄧㄥ1" - ], - "𠨎": [ - "ㄓㄨㄢ4" - ], - "𠨕": [ - "ㄐㄧ4" - ], - "𠨘": [ - "ㄅㄧ4" - ], - "𠨚": [ - "ㄒㄧ1" - ], - "𠨠": [ - "ㄐㄧ2" - ], - "𠨢": [ - "ㄐㄩㄣ4" - ], - "𠨥": [ - "ㄌㄧㄠ2" - ], - "𠨦": [ - "ㄧㄡ1" - ], - "𠨭": [ - "ㄐㄩ2" - ], - "𠨲": [ - "ㄩㄝ4" - ], - "𠨵": [ - "ㄅㄤ4" - ], - "𠨸": [ - "ㄆㄧ2" - ], - "𠨻": [ - "ㄗㄜ4" - ], - "𠨾": [ - "ㄧ4" - ], - "𠨿": [ - "ㄉㄧ3" - ], - "𠩂": [ - "ㄑㄧㄝ4" - ], - "𠩄": [ - "ㄙㄨㄛ3" - ], - "𠩆": [ - "ㄘ4" - ], - "𠩈": [ - "ㄓㄨ4" - ], - "𠩉": [ - "ㄩㄝ4", - "ㄐㄩ2" - ], - "𠩏": [ - "ㄐㄧㄠ1" - ], - "𠩔": [ - "ㄕ2" - ], - "𠩗": [ - "ㄧ2" - ], - "𠩘": [ - "ㄒㄧㄚ2" - ], - "𠩠": [ - "ㄩㄢ2" - ], - "𠩥": [ - "ㄍㄨㄛ2" - ], - "𠩧": [ - "ㄎㄜ4" - ], - "𠩪": [ - "ㄘㄨㄟ4" - ], - "𠩫": [ - "ㄧ4" - ], - "𠩵": [ - "ㄌㄧ4" - ], - "𠩷": [ - "ㄉㄧㄢ3" - ], - "𠩺": [ - "ㄒㄧ1", - "ㄔ2" - ], - "𠩿": [ - "ㄅㄧ4" - ], - "𠪂": [ - "ㄅㄧㄢ3" - ], - "𠪃": [ - "ㄇㄟ2" - ], - "𠪄": [ - "ㄌㄧ4" - ], - "𠪇": [ - "ㄙㄡ3" - ], - "𠪐": [ - "ㄌㄧㄡ2" - ], - "𠪑": [ - "ㄍㄨㄟ4" - ], - "𠪒": [ - "ㄎㄜ4" - ], - "𠪗": [ - "ㄧ2" - ], - "𠪙": [ - "ㄒㄧ3" - ], - "𠪚": [ - "ㄧㄣ2", - "ㄢ3", - "ㄎㄢ3" - ], - "𠪟": [ - "ㄎㄜ4" - ], - "𠪣": [ - "ㄕㄜ4" - ], - "𠪧": [ - "ㄨㄛ3" - ], - "𠪮": [ - "ㄆㄧ4" - ], - "𠪶": [ - "ㄩㄝ4" - ], - "𠪷": [ - "ㄏㄨㄥ2" - ], - "𠪺": [ - "ㄌㄧ4" - ], - "𠪻": [ - "ㄈㄨ4" - ], - "𠫃": [ - "ㄐㄩㄝ2" - ], - "𠫄": [ - "ㄒㄧㄢ1" - ], - "𠫉": [ - "ㄉㄧㄢ1" - ], - "𠫌": [ - "ㄌㄧ4" - ], - "𠫓": [ - "ㄊㄨ1" - ], - "𠫘": [ - "ㄐㄧㄢ1" - ], - "𠫛": [ - "ㄅㄞ3" - ], - "𠫜": [ - "ㄉㄧ4" - ], - "𠫝": [ - "ㄓㄤ3" - ], - "𠫣": [ - "ㄩ4" - ], - "𠫨": [ - "ㄉㄨㄟ4" - ], - "𠫭": [ - "ㄘㄢ1" - ], - "𠫮": [ - "ㄊㄨ2" - ], - "𠫶": [ - "ㄊㄢ1" - ], - "𠫷": [ - "ㄐㄧ2" - ], - "𠫸": [ - "ㄑㄧ2", - "ㄓㄞ1" - ], - "𠫹": [ - "ㄕㄢ4" - ], - "𠫺": [ - "ㄋㄧㄢ2", - "ㄕ4" - ], - "𠬆": [ - "ㄍㄨㄢ4" - ], - "𠬈": [ - "ㄅㄧ3" - ], - "𠬋": [ - "ㄒㄧㄥ1", - "ㄋㄧㄢ2" - ], - "𠬓": [ - "ㄓㄣ3" - ], - "𠬙": [ - "ㄙㄚ1" - ], - "𠬛": [ - "ㄇㄛ4" - ], - "𠬝": [ - "ㄈㄨ2" - ], - "𠬢": [ - "ㄊㄠ1" - ], - "𠬣": [ - "ㄅㄤ4" - ], - "𠬪": [ - "ㄅㄧㄠ4" - ], - "𠬬": [ - "ㄒㄧ1" - ], - "𠬮": [ - "ㄐㄧㄝ2" - ], - "𠬶": [ - "ㄐㄧㄣ4" - ], - "𠬾": [ - "ㄑㄧㄢ1" - ], - "𠭈": [ - "ㄙ4" - ], - "𠭉": [ - "ㄐㄧㄥ3" - ], - "𠭋": [ - "ㄔ3" - ], - "𠭗": [ - "ㄐㄧㄥ3" - ], - "𠭥": [ - "ㄙㄨㄟ4" - ], - "𠭯": [ - "ㄓㄚ1" - ], - "𠭰": [ - "ㄌㄧ2" - ], - "𠭴": [ - "ㄓㄨㄛ1" - ], - "𠭹": [ - "ㄅㄧㄢ4" - ], - "𠭿": [ - "ㄊㄨㄣ2" - ], - "𠮃": [ - "ㄅㄧ4" - ], - "𠮆": [ - "ㄈㄟ4" - ], - "𠮊": [ - "ㄉㄜ2" - ], - "𠮌": [ - "ㄓㄨ2" - ], - "𠮑": [ - "ㄐㄩ1" - ], - "𠮙": [ - "ㄧ3" - ], - "𠮜": [ - "ㄧㄚ4", - "ㄧㄣ1" - ], - "𠮟": [ - "ㄔ4" - ], - "𠮠": [ - "ㄍㄨㄚ3", - "ㄅㄞ3" - ], - "𠮡": [ - "ㄓ3" - ], - "𠮨": [ - "ㄖㄥ2" - ], - "𠮫": [ - "ㄧㄡ1" - ], - "𠮭": [ - "ㄅㄛ2" - ], - "𠮯": [ - "ㄐㄧ3" - ], - "𠮰": [ - "ㄆㄧㄣ3" - ], - "𠮳": [ - "ㄧㄥ1" - ], - "𠮴": [ - "ㄧㄤ1" - ], - "𠮵": [ - "ㄇㄤ4" - ], - "𠮽": [ - "ㄌㄨㄥ4" - ], - "𠮾": [ - "ㄣ4", - "ㄋㄍ4" - ], - "𠮿": [ - "ㄙㄚ5", - "ㄙㄢ5" - ], - "𠯀": [ - "ㄔㄨㄢ1" - ], - "𠯂": [ - "ㄘ2" - ], - "𠯃": [ - "ㄨ3" - ], - "𠯄": [ - "ㄖㄣ4" - ], - "𠯈": [ - "ㄉㄞ4" - ], - "𠯉": [ - "ㄐㄧ2" - ], - "𠯋": [ - "ㄧ3" - ], - "𠯍": [ - "ㄖㄢ2" - ], - "𠯐": [ - "ㄏㄨㄛ4" - ], - "𠯑": [ - "ㄍㄨㄚ1" - ], - "𠯓": [ - "ㄓㄜ2" - ], - "𠯔": [ - "ㄆㄧ4" - ], - "𠯗": [ - "ㄗㄚ1" - ], - "𠯘": [ - "ㄅㄢ4" - ], - "𠯙": [ - "ㄐㄧㄝ2" - ], - "𠯜": [ - "ㄏㄡ1", - "ㄒㄩ3" - ], - "𠯟": [ - "ㄒㄧㄢ4" - ], - "𠯠": [ - "ㄏㄨㄟ1" - ], - "𠯩": [ - "ㄓㄚ1" - ], - "𠯪": [ - "ㄉㄞ1", - "ㄉㄞ3", - "ㄜ4" - ], - "𠯫": [ - "ㄍㄜ1" - ], - "𠯭": [ - "ㄆㄧ4" - ], - "𠯯": [ - "ㄆㄧㄢ4" - ], - "𠯰": [ - "ㄕ2" - ], - "𠯱": [ - "ㄌㄧㄤ3" - ], - "𠯲": [ - "ㄩㄝ4" - ], - "𠯳": [ - "ㄏㄨ4", - "ㄨㄣ3" - ], - "𠯴": [ - "ㄅㄧㄢ4" - ], - "𠯷": [ - "ㄖㄥ2" - ], - "𠯹": [ - "ㄖㄥ2" - ], - "𠰄": [ - "ㄧ1" - ], - "𠰅": [ - "ㄓ1" - ], - "𠰇": [ - "ㄐㄧㄣ1" - ], - "𠰈": [ - "ㄨㄥ1" - ], - "𠰉": [ - "ㄔㄠ1" - ], - "𠰋": [ - "ㄑㄧㄡ1" - ], - "𠰍": [ - "ㄓㄨ3", - "ㄓㄨ4" - ], - "𠰏": [ - "ㄓㄚ2" - ], - "𠰐": [ - "ㄆㄛ3" - ], - "𠰑": [ - "ㄢ4" - ], - "𠰓": [ - "ㄏㄜ2" - ], - "𠰕": [ - "ㄔㄨ1" - ], - "𠰖": [ - "ㄧㄢ2" - ], - "𠰚": [ - "ㄕ4" - ], - "𠰛": [ - "ㄏㄨ4", - "ㄍㄠ4" - ], - "𠰜": [ - "ㄜ4" - ], - "𠰴": [ - "ㄕ2" - ], - "𠰹": [ - "ㄊㄨㄛ1" - ], - "𠰺": [ - "ㄉㄞ4" - ], - "𠰻": [ - "ㄨㄞ4", - "ㄨㄞ5" - ], - "𠰼": [ - "ㄆㄛ1" - ], - "𠰽": [ - "ㄖㄨㄥ3" - ], - "𠰾": [ - "ㄐㄩ1" - ], - "𠱀": [ - "ㄅㄛ1" - ], - "𠱐": [ - "ㄩ3" - ], - "𠱑": [ - "ㄉㄡ1" - ], - "𠱓": [ - "ㄍㄨㄟ3" - ], - "𠱔": [ - "ㄕㄡ4" - ], - "𠱗": [ - "ㄙㄨㄛ1" - ], - "𠱘": [ - "ㄋㄧ4" - ], - "𠱙": [ - "ㄓㄡ1", - "ㄩ4", - "ㄐㄧ4", - "ㄘㄨ4" - ], - "𠱚": [ - "ㄌㄨㄥ4" - ], - "𠱛": [ - "ㄅㄧㄥ3" - ], - "𠱜": [ - "ㄗㄨㄣ4" - ], - "𠱝": [ - "ㄧㄝ4" - ], - "𠱞": [ - "ㄖㄢ3" - ], - "𠱠": [ - "ㄌㄧㄥ2" - ], - "𠱡": [ - "ㄙㄚ4", - "ㄕㄞ4" - ], - "𠱤": [ - "ㄌㄟ3" - ], - "𠱥": [ - "ㄜ4", - "ㄏㄨㄟ4", - "ㄗㄚ2" - ], - "𠱧": [ - "ㄓㄨㄥ4" - ], - "𠱨": [ - "ㄐㄧ3" - ], - "𠱫": [ - "ㄜ4" - ], - "𠱯": [ - "ㄗㄨㄛ4" - ], - "𠱲": [ - "ㄋㄚ4" - ], - "𠱳": [ - "ㄩㄣ3" - ], - "𠲊": [ - "ㄒㄧㄝ4" - ], - "𠲋": [ - "ㄗㄨㄟ3" - ], - "𠲌": [ - "ㄕㄨ4" - ], - "𠲍": [ - "ㄉㄧㄡ1" - ], - "𠲎": [ - "ㄈㄚ5", - "ㄈㄟ4", - "ㄈㄚ2", - "ㄨㄚ5" - ], - "𠲏": [ - "ㄖㄣ3" - ], - "𠲑": [ - "ㄅㄤ1" - ], - "𠲒": [ - "ㄏㄢ2" - ], - "𠲓": [ - "ㄏㄨㄥ2" - ], - "𠲔": [ - "ㄧ1" - ], - "𠲖": [ - "ㄧ1" - ], - "𠲙": [ - "ㄎㄜ1" - ], - "𠲚": [ - "ㄧ4" - ], - "𠲛": [ - "ㄏㄨㄟ2" - ], - "𠲜": [ - "ㄓㄥ1" - ], - "𠲮": [ - "ㄐㄧㄥ4" - ], - "𠲱": [ - "ㄍㄜ2" - ], - "𠲴": [ - "ㄋㄡ2" - ], - "𠲵": [ - "ㄑㄧㄝ4", - "ㄐㄧㄝ2" - ], - "𠲷": [ - "ㄉㄧㄝ2" - ], - "𠲹": [ - "ㄐㄧ4" - ], - "𠲺": [ - "ㄧ4" - ], - "𠲻": [ - "ㄧ2" - ], - "𠲽": [ - "ㄈㄨ2" - ], - "𠲾": [ - "ㄕㄨㄛ4" - ], - "𠲿": [ - "ㄕㄨㄛ4" - ], - "𠳀": [ - "ㄩㄥ3" - ], - "𠳁": [ - "ㄎㄣ3" - ], - "𠳂": [ - "ㄏㄨㄚ2" - ], - "𠳃": [ - "ㄏㄨㄥ4" - ], - "𠳇": [ - "ㄏㄜ2" - ], - "𠳊": [ - "ㄏㄜ1" - ], - "𠳋": [ - "ㄑㄧㄢ3" - ], - "𠳌": [ - "ㄑㄧㄚ4" - ], - "𠳎": [ - "ㄙ4" - ], - "𠳐": [ - "ㄅㄤ1" - ], - "𠳬": [ - "ㄐㄧㄥ1" - ], - "𠳭": [ - "ㄎㄜ4" - ], - "𠳳": [ - "ㄞ1" - ], - "𠳴": [ - "ㄌㄡ2" - ], - "𠳶": [ - "ㄊㄨ1" - ], - "𠳹": [ - "ㄔㄨㄤ2" - ], - "𠳼": [ - "ㄙㄨㄥ4" - ], - "𠳽": [ - "ㄔㄥ2" - ], - "𠳿": [ - "ㄨㄟ1" - ], - "𠴂": [ - "ㄋㄨ3" - ], - "𠴄": [ - "ㄐㄧㄡ3" - ], - "𠴇": [ - "ㄅㄧㄣ1" - ], - "𠴡": [ - "ㄒㄧㄠ4" - ], - "𠴢": [ - "ㄕㄥ1" - ], - "𠴣": [ - "ㄏㄡ3" - ], - "𠴦": [ - "ㄓㄨ4" - ], - "𠴨": [ - "ㄍㄨㄢ1" - ], - "𠴩": [ - "ㄐㄧ1", - "ㄑㄧ3" - ], - "𠴫": [ - "ㄐㄧ4", - "ㄘㄨ4", - "ㄩ4", - "ㄓㄨ4" - ], - "𠴭": [ - "ㄒㄧ1" - ], - "𠴯": [ - "ㄕㄜ4" - ], - "𠴰": [ - "ㄡ3" - ], - "𠴱": [ - "ㄏㄨ2" - ], - "𠴲": [ - "ㄊㄚ4" - ], - "𠴳": [ - "ㄒㄧㄠ2" - ], - "𠴵": [ - "ㄗㄠ4" - ], - "𠴸": [ - "ㄅㄛ4" - ], - "𠴹": [ - "ㄑㄧ4" - ], - "𠴺": [ - "ㄨㄚ1" - ], - "𠴻": [ - "ㄊㄨㄛ1" - ], - "𠴼": [ - "ㄉㄠ4" - ], - "𠴾": [ - "ㄋㄚ4" - ], - "𠵠": [ - "ㄓㄞ1" - ], - "𠵣": [ - "ㄧㄚ4" - ], - "𠵦": [ - "ㄨ3" - ], - "𠵧": [ - "ㄓㄣ2", - "ㄔㄨㄣ2" - ], - "𠵨": [ - "ㄉㄜ5" - ], - "𠵩": [ - "ㄏㄜ1" - ], - "𠵫": [ - "ㄤ1" - ], - "𠵬": [ - "ㄆㄧ2" - ], - "𠵭": [ - "ㄙㄜ4" - ], - "𠵮": [ - "ㄈㄣ3" - ], - "𠵯": [ - "ㄍㄨㄚ1" - ], - "𠵳": [ - "ㄆㄛ3" - ], - "𠵷": [ - "ㄒㄩㄢ4" - ], - "𠵸": [ - "ㄏㄢ1", - "ㄇㄧ2" - ], - "𠵹": [ - "ㄍㄤ1" - ], - "𠵺": [ - "ㄅㄚ1" - ], - "𠵻": [ - "ㄗㄨㄥ1" - ], - "𠵼": [ - "ㄇㄥ4" - ], - "𠵾": [ - "ㄏㄨㄛ4" - ], - "𠶧": [ - "ㄉㄧㄢ1" - ], - "𠶨": [ - "ㄒㄧ1" - ], - "𠶫": [ - "ㄉㄚ4" - ], - "𠶬": [ - "ㄋㄤ4" - ], - "𠶰": [ - "ㄉㄧㄠ1" - ], - "𠶱": [ - "ㄌㄨㄛ4" - ], - "𠶲": [ - "ㄎㄜ4" - ], - "𠶷": [ - "ㄧ4" - ], - "𠶸": [ - "ㄐㄩㄝ2" - ], - "𠶹": [ - "ㄏㄜ2" - ], - "𠶻": [ - "ㄐㄧ2" - ], - "𠶾": [ - "ㄏㄜ4" - ], - "𠶿": [ - "ㄋㄧㄝ4", - "ㄗㄚ2" - ], - "𠷀": [ - "ㄖㄨㄣ3" - ], - "𠷁": [ - "ㄑㄧㄢ2", - "ㄐㄧㄢ1" - ], - "𠷂": [ - "ㄉㄞ4" - ], - "𠷃": [ - "ㄕㄠ1", - "ㄙㄨ4", - "ㄕㄡ4" - ], - "𠷄": [ - "ㄎㄜ4" - ], - "𠷅": [ - "ㄓㄨ2" - ], - "𠷇": [ - "ㄕ1" - ], - "𠷈": [ - "ㄌㄩ4", - "ㄌㄧㄝ4" - ], - "𠷉": [ - "ㄐㄧㄚ1" - ], - "𠷊": [ - "ㄆㄧㄢ2" - ], - "𠷋": [ - "ㄏㄡ4" - ], - "𠷌": [ - "ㄐㄧ1", - "ㄗㄜ2" - ], - "𠷍": [ - "ㄊㄚ4" - ], - "𠷎": [ - "ㄔㄡ2", - "ㄕㄡ4" - ], - "𠷏": [ - "ㄨㄛ1" - ], - "𠷐": [ - "ㄐㄧㄥ4", - "ㄐㄧㄤ4" - ], - "𠷑": [ - "ㄆㄛ1" - ], - "𠷒": [ - "ㄓㄞ1" - ], - "𠷓": [ - "ㄒㄧㄣ1" - ], - "𠷖": [ - "ㄅㄧㄢ4" - ], - "𠷙": [ - "ㄒㄩ4" - ], - "𠷞": [ - "ㄍㄨ1" - ], - "𠷟": [ - "ㄐㄧㄝ4" - ], - "𠷢": [ - "ㄒㄧㄢ2" - ], - "𠷸": [ - "ㄜ2", - "ㄩㄥ2" - ], - "𠷺": [ - "ㄅㄛ2" - ], - "𠷻": [ - "ㄆㄧㄠ1" - ], - "𠷿": [ - "ㄗㄚ3" - ], - "𠸁": [ - "ㄆㄞ4" - ], - "𠸂": [ - "ㄊㄨ1" - ], - "𠸄": [ - "ㄧㄥ1" - ], - "𠸮": [ - "ㄒㄧㄤ3" - ], - "𠸱": [ - "ㄋㄨㄛ4" - ], - "𠸲": [ - "ㄍㄜ1" - ], - "𠸳": [ - "ㄅㄛ2" - ], - "𠸴": [ - "ㄒㄧㄝ4" - ], - "𠸸": [ - "ㄓㄣ1", - "ㄔㄨㄣ2" - ], - "𠸹": [ - "ㄩ2" - ], - "𠸺": [ - "ㄋㄧ4" - ], - "𠹀": [ - "ㄒㄩㄣ4" - ], - "𠹁": [ - "ㄨㄚ4" - ], - "𠹃": [ - "ㄤ4" - ], - "𠹄": [ - "ㄏㄢ4" - ], - "𠹅": [ - "ㄏㄨㄥ1" - ], - "𠹆": [ - "ㄉㄢ1" - ], - "𠹈": [ - "ㄋㄨㄛ2" - ], - "𠹊": [ - "ㄘㄠ3" - ], - "𠹋": [ - "ㄐㄧ2" - ], - "𠹌": [ - "ㄋㄥ3" - ], - "𠹍": [ - "ㄩㄥ3", - "ㄖㄨㄥ2" - ], - "𠹎": [ - "ㄒㄧㄠ1" - ], - "𠹐": [ - "ㄔㄨㄚ3" - ], - "𠹑": [ - "ㄧㄠ4" - ], - "𠹓": [ - "ㄍㄜ2" - ], - "𠹔": [ - "ㄊㄤ2" - ], - "𠹕": [ - "ㄅㄠ4" - ], - "𠹖": [ - "ㄔㄢ3" - ], - "𠹘": [ - "ㄒㄩ4" - ], - "𠹛": [ - "ㄏㄞ2" - ], - "𠹝": [ - "ㄔㄡ2" - ], - "𠹟": [ - "ㄐㄧㄢ3" - ], - "𠹠": [ - "ㄗㄨㄛ1" - ], - "𠹤": [ - "ㄨㄟ4" - ], - "𠹥": [ - "ㄉㄚ1" - ], - "𠹦": [ - "ㄆㄧ1" - ], - "𠺐": [ - "ㄏㄨㄢ4" - ], - "𠺒": [ - "ㄒㄧ1" - ], - "𠺔": [ - "ㄆㄣ4" - ], - "𠺕": [ - "ㄌㄧㄡ1", - "ㄌㄧㄠ2" - ], - "𠺖": [ - "ㄇㄨ3", - "ㄧㄥ1" - ], - "𠺗": [ - "ㄇㄧㄝ1" - ], - "𠺘": [ - "ㄌㄤ4" - ], - "𠺙": [ - "ㄊㄨㄟ4" - ], - "𠺚": [ - "ㄅㄢ1" - ], - "𠺝": [ - "ㄍㄜ1" - ], - "𠺟": [ - "ㄎㄨ4" - ], - "𠺢": [ - "ㄐㄧㄚ1" - ], - "𠺣": [ - "ㄅㄛ1" - ], - "𠻍": [ - "ㄏㄨㄢ4" - ], - "𠻏": [ - "ㄗㄨ2" - ], - "𠻐": [ - "ㄌㄨㄛ4" - ], - "𠻗": [ - "ㄌㄧ2" - ], - "𠻙": [ - "ㄏㄜ2" - ], - "𠻚": [ - "ㄇㄛ2" - ], - "𠻜": [ - "ㄕㄨㄟ4", - "ㄌㄩ4", - "ㄙㄨ1" - ], - "𠻝": [ - "ㄕㄣ1" - ], - "𠻞": [ - "ㄎㄤ3" - ], - "𠻟": [ - "ㄔ4" - ], - "𠻠": [ - "ㄌㄧㄥ2" - ], - "𠻡": [ - "ㄌㄨㄛ3" - ], - "𠻤": [ - "ㄧㄢ3" - ], - "𠻥": [ - "ㄓㄠ4" - ], - "𠻦": [ - "ㄔㄨㄚ3" - ], - "𠻧": [ - "ㄍㄨ3" - ], - "𠻨": [ - "ㄑㄧㄣ3" - ], - "𠻪": [ - "ㄊㄢ2" - ], - "𠻫": [ - "ㄈㄣ4" - ], - "𠻬": [ - "ㄊㄨ2" - ], - "𠻱": [ - "ㄌㄧㄥ2" - ], - "𠻴": [ - "ㄌㄤ3" - ], - "𠼖": [ - "ㄌㄢ2" - ], - "𠼗": [ - "ㄗㄢ4" - ], - "𠼘": [ - "ㄨ4" - ], - "𠼝": [ - "ㄌㄧ2" - ], - "𠼞": [ - "ㄚ1" - ], - "𠼟": [ - "ㄌㄩㄝ4" - ], - "𠼠": [ - "ㄓ3" - ], - "𠼡": [ - "ㄔㄡ2" - ], - "𠼢": [ - "ㄐㄧㄤ4", - "ㄑㄧㄤ4" - ], - "𠼤": [ - "ㄐㄧㄢ1" - ], - "𠼩": [ - "ㄌㄨㄣ2" - ], - "𠼪": [ - "ㄧ2" - ], - "𠼬": [ - "ㄕㄤ1" - ], - "𠼻": [ - "ㄐㄧ1" - ], - "𠽜": [ - "ㄧ4" - ], - "𠽝": [ - "ㄋㄧㄣ2" - ], - "𠽡": [ - "ㄏㄨㄟ4" - ], - "𠽣": [ - "ㄓㄚ1" - ], - "𠽦": [ - "ㄏㄢ3" - ], - "𠽨": [ - "ㄧㄣ3" - ], - "𠽩": [ - "ㄅㄧ4" - ], - "𠽪": [ - "ㄢ1" - ], - "𠽫": [ - "ㄒㄧㄚ1", - "ㄒㄧㄚ3" - ], - "𠽬": [ - "ㄋㄧ2" - ], - "𠽰": [ - "ㄉㄧ1" - ], - "𠽱": [ - "ㄐㄧㄢ3" - ], - "𠽲": [ - "ㄆㄢ2" - ], - "𠽵": [ - "ㄩ4" - ], - "𠽶": [ - "ㄔㄨㄞ4", - "ㄘㄨㄟ4", - "ㄔㄨㄛ4" - ], - "𠽷": [ - "ㄗㄚ1" - ], - "𠽹": [ - "ㄔㄚ2" - ], - "𠽻": [ - "ㄓㄜ2" - ], - "𠽼": [ - "ㄙㄜ4" - ], - "𠽾": [ - "ㄆㄣ1", - "ㄆㄨ3" - ], - "𠽿": [ - "ㄍㄨ1" - ], - "𠾀": [ - "ㄓㄜ2" - ], - "𠾆": [ - "ㄌㄧ2" - ], - "𠾇": [ - "ㄉㄡ1" - ], - "𠾉": [ - "ㄔㄡ2" - ], - "𠾋": [ - "ㄗㄨㄟ3" - ], - "𠾌": [ - "ㄆㄛ4" - ], - "𠾏": [ - "ㄕㄜ1" - ], - "𠾐": [ - "ㄌㄨㄥ2" - ], - "𠾢": [ - "ㄕㄨ4" - ], - "𠾤": [ - "ㄐㄧㄣ4" - ], - "𠾥": [ - "ㄌㄧㄥ2" - ], - "𠾨": [ - "ㄎㄤ1" - ], - "𠾩": [ - "ㄌㄚ4" - ], - "𠾫": [ - "ㄒㄩ1" - ], - "𠾬": [ - "ㄐㄧㄣ4" - ], - "𠾮": [ - "ㄔㄨㄢ1" - ], - "𠾲": [ - "ㄩㄝ4" - ], - "𠿆": [ - "ㄇㄞ3" - ], - "𠿇": [ - "ㄒㄧㄝ4" - ], - "𠿈": [ - "ㄐㄧㄡ1" - ], - "𠿉": [ - "ㄐㄧ4" - ], - "𠿋": [ - "ㄩㄝ4" - ], - "𠿏": [ - "ㄐㄧㄢ1" - ], - "𠿑": [ - "ㄏㄢ2", - "ㄍㄢ3", - "ㄢ3", - "ㄏㄢ3" - ], - "𠿓": [ - "ㄙㄚ4" - ], - "𠿔": [ - "ㄏㄨㄟ4" - ], - "𠿕": [ - "ㄑㄧㄠ4" - ], - "𠿗": [ - "ㄙㄜ4" - ], - "𠿘": [ - "ㄗㄨㄟ3" - ], - "𠿛": [ - "ㄌㄨ3" - ], - "𠿜": [ - "ㄏㄨㄚ4" - ], - "𠿝": [ - "ㄔㄨ1" - ], - "𠿞": [ - "ㄕㄢ3" - ], - "𠿟": [ - "ㄨㄛ4" - ], - "𠿠": [ - "ㄐㄧ2" - ], - "𠿡": [ - "ㄓㄨㄛ2" - ], - "𠿢": [ - "ㄒㄧㄢ2", - "ㄒㄧㄢ4" - ], - "𠿣": [ - "ㄧ1" - ], - "𠿤": [ - "ㄍㄨㄛ2" - ], - "𠿥": [ - "ㄎㄨㄟ4", - "ㄍㄨㄟ4" - ], - "𡀑": [ - "ㄓㄡ1" - ], - "𡀔": [ - "ㄌㄨ4", - "ㄌㄡ5" - ], - "𡀖": [ - "ㄅㄛ1" - ], - "𡀗": [ - "ㄕ2" - ], - "𡀘": [ - "ㄧㄥ4" - ], - "𡀙": [ - "ㄎㄨ1" - ], - "𡀹": [ - "ㄓ4" - ], - "𡀺": [ - "ㄒㄧㄝ2" - ], - "𡀽": [ - "ㄧㄝ4", - "ㄏㄜ4" - ], - "𡀾": [ - "ㄜ4" - ], - "𡀿": [ - "ㄌㄩ4" - ], - "𡁀": [ - "ㄏㄢ4" - ], - "𡁁": [ - "ㄧㄝ4", - "ㄎㄞ4" - ], - "𡁆": [ - "ㄌㄨㄛ4" - ], - "𡁇": [ - "ㄔㄨㄛ4" - ], - "𡁈": [ - "ㄈㄢ4" - ], - "𡁉": [ - "ㄓ2" - ], - "𡁊": [ - "ㄧㄥ4" - ], - "𡁋": [ - "ㄨㄣ3" - ], - "𡁌": [ - "ㄨㄚ1" - ], - "𡁍": [ - "ㄞ4" - ], - "𡁎": [ - "ㄩ2" - ], - "𡁑": [ - "ㄏㄨㄚ1" - ], - "𡁓": [ - "ㄌㄧㄝ4" - ], - "𡁔": [ - "ㄐㄧㄥ1" - ], - "𡁕": [ - "ㄗㄚ2" - ], - "𡁧": [ - "ㄗㄤ1" - ], - "𡁨": [ - "ㄉㄨㄟ4" - ], - "𡁪": [ - "ㄐㄧ4" - ], - "𡁮": [ - "ㄨㄛ1" - ], - "𡁰": [ - "ㄐㄧ2" - ], - "𡁱": [ - "ㄒㄧ1" - ], - "𡁳": [ - "ㄓㄢ4" - ], - "𡁴": [ - "ㄊㄨㄢ2" - ], - "𡂊": [ - "ㄩ2" - ], - "𡂏": [ - "ㄌㄧㄝ4" - ], - "𡂒": [ - "ㄓ4" - ], - "𡂓": [ - "ㄕ1" - ], - "𡂕": [ - "ㄌㄠ3" - ], - "𡂖": [ - "ㄌㄞ4", - "ㄊㄚ4" - ], - "𡂗": [ - "ㄨㄟ3" - ], - "𡂘": [ - "ㄆㄠ2" - ], - "𡂙": [ - "ㄔ2" - ], - "𡂚": [ - "ㄧㄥ3" - ], - "𡂛": [ - "ㄉㄡ4" - ], - "𡂝": [ - "ㄉㄡ4" - ], - "𡂟": [ - "ㄅㄠ4" - ], - "𡂠": [ - "ㄑㄧㄝ4" - ], - "𡂡": [ - "ㄕㄨ4" - ], - "𡂣": [ - "ㄓ2" - ], - "𡂩": [ - "ㄌㄧㄝ4" - ], - "𡂫": [ - "ㄆㄥ2" - ], - "𡂭": [ - "ㄓㄜ1" - ], - "𡂿": [ - "ㄡ1", - "ㄡ5" - ], - "𡃂": [ - "ㄒㄧㄝ4" - ], - "𡃃": [ - "ㄐㄧ2" - ], - "𡃄": [ - "ㄌㄞ4" - ], - "𡃅": [ - "ㄧㄥ2" - ], - "𡃆": [ - "ㄘㄥ1" - ], - "𡃖": [ - "ㄌㄜ1" - ], - "𡃝": [ - "ㄌㄨㄣ4" - ], - "𡃡": [ - "ㄌㄨㄥ2" - ], - "𡃢": [ - "ㄒㄧ4" - ], - "𡃦": [ - "ㄌㄧㄣ4" - ], - "𡃩": [ - "ㄍㄨㄟ1" - ], - "𡃳": [ - "ㄒㄧㄥ1" - ], - "𡃷": [ - "ㄌㄧ2" - ], - "𡃸": [ - "ㄘ1" - ], - "𡄇": [ - "ㄑㄧㄥ3" - ], - "𡄑": [ - "ㄐㄧㄢ1" - ], - "𡄒": [ - "ㄉㄠ4" - ], - "𡄓": [ - "ㄐㄧㄢ3" - ], - "𡄔": [ - "ㄑㄧㄥ4" - ], - "𡄕": [ - "ㄒㄧㄝ4" - ], - "𡄖": [ - "ㄧㄥ4" - ], - "𡄟": [ - "ㄏㄚ2" - ], - "𡄡": [ - "ㄓㄜ5" - ], - "𡄢": [ - "ㄕㄜ1" - ], - "𡄣": [ - "ㄇㄧ2" - ], - "𡄤": [ - "ㄏㄨㄢ2" - ], - "𡄱": [ - "ㄘㄨ4" - ], - "𡄲": [ - "ㄖㄨ2" - ], - "𡄳": [ - "ㄙㄚ3" - ], - "𡄴": [ - "ㄏㄨㄛ4" - ], - "𡄵": [ - "ㄧ1" - ], - "𡄷": [ - "ㄉㄧ1" - ], - "𡄹": [ - "ㄌㄨㄢ4" - ], - "𡄻": [ - "ㄧ4" - ], - "𡅂": [ - "ㄅㄛ4" - ], - "𡅃": [ - "ㄆㄤ2" - ], - "𡅄": [ - "ㄊㄢ2" - ], - "𡅅": [ - "ㄜ2", - "ㄟ2" - ], - "𡅆": [ - "ㄗㄤ1" - ], - "𡅇": [ - "ㄘㄨㄥ2" - ], - "𡅓": [ - "ㄓㄞ1" - ], - "𡅕": [ - "ㄒㄧ3" - ], - "𡅖": [ - "ㄇㄤ3" - ], - "𡅘": [ - "ㄌㄚ4" - ], - "𡅙": [ - "ㄩㄣ4" - ], - "𡅡": [ - "ㄜ4" - ], - "𡅥": [ - "ㄉㄧㄝ2" - ], - "𡅭": [ - "ㄍㄨㄢ1" - ], - "𡅱": [ - "ㄏㄨㄢ4" - ], - "𡅵": [ - "ㄕ4" - ], - "𡅶": [ - "ㄐㄧㄢ3" - ], - "𡅹": [ - "ㄓㄢ1" - ], - "𡅺": [ - "ㄐㄧ2" - ], - "𡅻": [ - "ㄏㄨㄢ4" - ], - "𡆅": [ - "ㄨㄢ4" - ], - "𡆆": [ - "ㄌㄨㄛ3" - ], - "𡆏": [ - "ㄉㄡ4" - ], - "𡆕": [ - "ㄌㄧㄢ4" - ], - "𡆣": [ - "ㄋㄧㄝ4", - "ㄉㄧ2" - ], - "𡆤": [ - "ㄋㄢ3" - ], - "𡆥": [ - "ㄐㄧㄡ4" - ], - "𡆦": [ - "ㄩㄝ4" - ], - "𡆩": [ - "ㄧㄠ1", - "ㄐㄩㄥ3" - ], - "𡆪": [ - "ㄔㄨㄤ1" - ], - "𡆮": [ - "ㄘㄢ3" - ], - "𡆯": [ - "ㄌㄧ3" - ], - "𡆰": [ - "ㄉㄨㄣ4" - ], - "𡆱": [ - "ㄋㄢ3" - ], - "𡆲": [ - "ㄋㄢ3" - ], - "𡆸": [ - "ㄖ4", - "ㄍㄨㄛ2" - ], - "𡆽": [ - "ㄩㄝ4" - ], - "𡇀": [ - "ㄧㄡ2" - ], - "𡇂": [ - "ㄧㄣ1" - ], - "𡇄": [ - "ㄍㄨㄛ2", - "ㄋㄧㄝ4" - ], - "𡇈": [ - "ㄉㄤ4", - "ㄊㄨㄛ2" - ], - "𡇑": [ - "ㄓㄣ1" - ], - "𡇒": [ - "ㄇㄧ2" - ], - "𡇓": [ - "ㄉㄧㄝ2" - ], - "𡇖": [ - "ㄓㄣ1" - ], - "𡇚": [ - "ㄎㄨㄚ1" - ], - "𡇜": [ - "ㄏㄢ2" - ], - "𡇝": [ - "ㄙㄨㄥ4" - ], - "𡇞": [ - "ㄏㄜ2" - ], - "𡇟": [ - "ㄐㄧ1" - ], - "𡇠": [ - "ㄓㄜ2" - ], - "𡇤": [ - "ㄅㄧㄥ3" - ], - "𡇦": [ - "ㄨㄟ2" - ], - "𡇧": [ - "ㄊㄡ1" - ], - "𡇩": [ - "ㄊㄨ2" - ], - "𡇬": [ - "ㄍㄤ1" - ], - "𡇭": [ - "ㄌㄡ2" - ], - "𡇮": [ - "ㄑㄩㄢ2" - ], - "𡇯": [ - "ㄏㄨㄣ4" - ], - "𡇰": [ - "ㄓㄨㄢ3" - ], - "𡇱": [ - "ㄑㄩㄝ4" - ], - "𡇳": [ - "ㄏㄨㄥ2" - ], - "𡇵": [ - "ㄉㄤ4" - ], - "𡇶": [ - "ㄏㄜ2" - ], - "𡇷": [ - "ㄊㄞ4" - ], - "𡇸": [ - "ㄍㄨㄞ1" - ], - "𡇺": [ - "ㄩ4" - ], - "𡇼": [ - "ㄧㄚ4" - ], - "𡇿": [ - "ㄨㄢ1" - ], - "𡈀": [ - "ㄑㄩㄣ1" - ], - "𡈅": [ - "ㄐㄩㄝ2" - ], - "𡈆": [ - "ㄡ1" - ], - "𡈉": [ - "ㄑㄩㄢ1" - ], - "𡈊": [ - "ㄓ2" - ], - "𡈍": [ - "ㄌㄧㄥ2" - ], - "𡈎": [ - "ㄨ1", - "ㄖ4" - ], - "𡈏": [ - "ㄒㄧㄣ4" - ], - "𡈐": [ - "ㄉㄚ2" - ], - "𡈒": [ - "ㄩㄢ1" - ], - "𡈓": [ - "ㄩㄢ4" - ], - "𡈗": [ - "ㄇㄛ4" - ], - "𡈙": [ - "ㄧㄡ2" - ], - "𡈞": [ - "ㄨ3" - ], - "𡈠": [ - "ㄓㄤ1" - ], - "𡈣": [ - "ㄒㄩㄢ1" - ], - "𡈦": [ - "ㄖㄠ3" - ], - "𡈧": [ - "ㄍㄨㄣ3" - ], - "𡈨": [ - "ㄩ4" - ], - "𡈮": [ - "ㄒㄧㄚ2" - ], - "𡈯": [ - "ㄅㄧㄢ3" - ], - "𡈰": [ - "ㄧㄡ2" - ], - "𡈲": [ - "ㄧㄣ1" - ], - "𡈴": [ - "ㄒㄩㄢ2", - "ㄖㄨ3" - ], - "𡈵": [ - "ㄧㄡ2" - ], - "𡈶": [ - "ㄌㄟ2" - ], - "𡈼": [ - "ㄊㄧㄥ3", - "ㄊㄧㄥ2", - "ㄓㄥ1", - "ㄓ3" - ], - "𡈿": [ - "ㄓㄣ1" - ], - "𡉄": [ - "ㄗㄞ4", - "ㄎㄨ1" - ], - "𡉅": [ - "ㄍㄚ1" - ], - "𡉆": [ - "ㄌㄚ2" - ], - "𡉉": [ - "ㄑㄩㄝ4" - ], - "𡉎": [ - "ㄐㄩ2" - ], - "𡉐": [ - "ㄔㄨㄣ1" - ], - "𡉑": [ - "ㄉㄚ1" - ], - "𡉒": [ - "ㄊㄨㄣ2" - ], - "𡉓": [ - "ㄞ1" - ], - "𡉗": [ - "ㄗ3" - ], - "𡉚": [ - "ㄏㄨㄤ2", - "ㄈㄥ1" - ], - "𡉛": [ - "ㄧ4" - ], - "𡉩": [ - "ㄅㄠ4" - ], - "𡉪": [ - "ㄔ2" - ], - "𡉭": [ - "ㄖ4" - ], - "𡉴": [ - "ㄌㄨ2", - "ㄏㄨ4" - ], - "𡉷": [ - "ㄐㄧㄝ2" - ], - "𡉸": [ - "ㄕ4" - ], - "𡉺": [ - "ㄗㄨㄢ1" - ], - "𡊁": [ - "ㄧ4" - ], - "𡊄": [ - "ㄈㄣ4" - ], - "𡊅": [ - "ㄈㄣ4", - "ㄅㄧㄢ4" - ], - "𡊉": [ - "ㄇㄛ4" - ], - "𡊍": [ - "ㄕㄨ4" - ], - "𡊛": [ - "ㄠ2" - ], - "𡊝": [ - "ㄆㄧ3" - ], - "𡊞": [ - "ㄆㄧㄥ2", - "ㄆㄧㄥ4" - ], - "𡊟": [ - "ㄆㄛ1" - ], - "𡊠": [ - "ㄐㄧㄚ2" - ], - "𡊡": [ - "ㄓㄡ2" - ], - "𡊣": [ - "ㄑㄧㄡ1" - ], - "𡊧": [ - "ㄧㄡ3" - ], - "𡊨": [ - "ㄊㄢ2" - ], - "𡊫": [ - "ㄖㄨㄥ3" - ], - "𡊭": [ - "ㄇㄧ4" - ], - "𡊶": [ - "ㄧ4" - ], - "𡊸": [ - "ㄖㄨㄥ3" - ], - "𡊻": [ - "ㄌㄧㄝ4" - ], - "𡊼": [ - "ㄑㄩㄥ2" - ], - "𡋙": [ - "ㄏㄨㄟ2" - ], - "𡋚": [ - "ㄐㄧ4" - ], - "𡋟": [ - "ㄍㄠ4" - ], - "𡋧": [ - "ㄧㄡ2" - ], - "𡋨": [ - "ㄔㄚ1" - ], - "𡋩": [ - "ㄉㄜ2" - ], - "𡋪": [ - "ㄧㄣ1" - ], - "𡋬": [ - "ㄩ4" - ], - "𡋭": [ - "ㄅㄟ4" - ], - "𡋯": [ - "ㄅㄛ2" - ], - "𡌔": [ - "ㄑㄧㄠ1" - ], - "𡌚": [ - "ㄔㄚ3" - ], - "𡌜": [ - "ㄒㄧㄣ1" - ], - "𡌞": [ - "ㄔ2" - ], - "𡌣": [ - "ㄗㄠ4" - ], - "𡌤": [ - "ㄎㄨㄟ2" - ], - "𡌦": [ - "ㄈㄟ4" - ], - "𡌩": [ - "ㄊㄚ1", - "ㄉㄚ2" - ], - "𡌪": [ - "ㄍㄨㄞ4" - ], - "𡌭": [ - "ㄉㄨㄛ1" - ], - "𡌲": [ - "ㄍㄨㄟ1" - ], - "𡌴": [ - "ㄓ2" - ], - "𡍌": [ - "ㄔㄢ3" - ], - "𡍍": [ - "ㄋㄠ3" - ], - "𡍐": [ - "ㄏㄨ2" - ], - "𡍒": [ - "ㄊㄠ2" - ], - "𡍡": [ - "ㄧ4" - ], - "𡍤": [ - "ㄋㄧㄝ4" - ], - "𡍥": [ - "ㄓㄞ4" - ], - "𡍦": [ - "ㄏㄨㄢ2" - ], - "𡍨": [ - "ㄉㄨ4" - ], - "𡍪": [ - "ㄑㄧ4" - ], - "𡍫": [ - "ㄘㄜ4" - ], - "𡍮": [ - "ㄔㄨㄟ2" - ], - "𡍲": [ - "ㄉㄚ1" - ], - "𡍶": [ - "ㄓ4" - ], - "𡍷": [ - "ㄍㄥ4" - ], - "𡍻": [ - "ㄨㄥ4" - ], - "𡎉": [ - "ㄉㄨ4" - ], - "𡎍": [ - "ㄔ2" - ], - "𡎑": [ - "ㄢ4" - ], - "𡎒": [ - "ㄎㄨㄛ4" - ], - "𡎔": [ - "ㄨㄛ4" - ], - "𡎘": [ - "ㄧㄥ1" - ], - "𡎚": [ - "ㄆㄧㄢ3" - ], - "𡎫": [ - "ㄓㄚ2", - "ㄑㄧ4" - ], - "𡎬": [ - "ㄓㄨㄚ3" - ], - "𡎮": [ - "ㄙㄨ4" - ], - "𡎳": [ - "ㄋㄧ4" - ], - "𡎺": [ - "ㄓㄨ2" - ], - "𡎻": [ - "ㄔㄢ2" - ], - "𡎾": [ - "ㄅㄥ4" - ], - "𡎿": [ - "ㄋㄧ2" - ], - "𡏀": [ - "ㄓ2" - ], - "𡏁": [ - "ㄏㄨㄟ4" - ], - "𡏘": [ - "ㄒㄧㄚ4" - ], - "𡏚": [ - "ㄓ4" - ], - "𡏛": [ - "ㄒㄧ1" - ], - "𡏞": [ - "ㄐㄧㄤ3" - ], - "𡏩": [ - "ㄉㄨㄟ1" - ], - "𡏪": [ - "ㄈㄨ1" - ], - "𡏭": [ - "ㄐㄧㄠ1" - ], - "𡏮": [ - "ㄔㄠ2" - ], - "𡏯": [ - "ㄅㄞ4" - ], - "𡏵": [ - "ㄌㄧㄝ4" - ], - "𡏼": [ - "ㄠ2" - ], - "𡐋": [ - "ㄗㄠ1" - ], - "𡐌": [ - "ㄔㄨ4" - ], - "𡐏": [ - "ㄊㄨㄛ3" - ], - "𡐒": [ - "ㄏㄠ2", - "ㄏㄠ4" - ], - "𡐓": [ - "ㄎㄤ1" - ], - "𡐔": [ - "ㄧㄣ2" - ], - "𡐖": [ - "ㄒㄧㄢ4" - ], - "𡐝": [ - "ㄈㄨ2", - "ㄈㄨ4" - ], - "𡐞": [ - "ㄅㄧㄝ1" - ], - "𡐠": [ - "ㄎㄨㄟ1" - ], - "𡐤": [ - "ㄑㄧㄝ4" - ], - "𡐥": [ - "ㄙㄚ4" - ], - "𡐿": [ - "ㄉㄚ1", - "ㄉㄚ5" - ], - "𡑀": [ - "ㄧㄝ3", - "ㄕㄨ4" - ], - "𡑄": [ - "ㄓㄤ3" - ], - "𡑆": [ - "ㄌㄧㄤ2" - ], - "𡑈": [ - "ㄉㄨㄟ3" - ], - "𡑍": [ - "ㄌㄠ2" - ], - "𡑎": [ - "ㄒㄩㄣ1" - ], - "𡑘": [ - "ㄓ4" - ], - "𡑚": [ - "ㄎㄨ1" - ], - "𡑞": [ - "ㄙㄨㄟ4" - ], - "𡑟": [ - "ㄨㄛ1" - ], - "𡑣": [ - "ㄎㄨ1" - ], - "𡑯": [ - "ㄐㄧㄢ3" - ], - "𡑶": [ - "ㄐㄧㄤ3" - ], - "𡑻": [ - "ㄓㄨㄟ4" - ], - "𡑽": [ - "ㄕㄨㄤ3" - ], - "𡑾": [ - "ㄩ2" - ], - "𡒁": [ - "ㄙㄚ4" - ], - "𡒃": [ - "ㄩ4", - "ㄠ4" - ], - "𡒄": [ - "ㄌㄢ3" - ], - "𡒊": [ - "ㄩ4" - ], - "𡒌": [ - "ㄑㄧㄢ3" - ], - "𡒍": [ - "ㄐㄩ4" - ], - "𡒏": [ - "ㄌㄧㄝ4" - ], - "𡒒": [ - "ㄕㄨ2" - ], - "𡒓": [ - "ㄒㄧㄢ4" - ], - "𡒖": [ - "ㄍㄞ4" - ], - "𡒢": [ - "ㄊㄞ2" - ], - "𡒧": [ - "ㄊㄧㄢ3" - ], - "𡒯": [ - "ㄇㄥ4" - ], - "𡒱": [ - "ㄉㄧ2" - ], - "𡒳": [ - "ㄇㄧㄢ2" - ], - "𡒾": [ - "ㄏㄨㄟ1", - "ㄎㄨㄟ4" - ], - "𡓉": [ - "ㄉㄨㄛ4" - ], - "𡓍": [ - "ㄌㄧㄝ4" - ], - "𡓒": [ - "ㄌㄞ4" - ], - "𡓓": [ - "ㄧㄣ2", - "ㄧㄣ1" - ], - "𡓔": [ - "ㄌㄢ3" - ], - "𡓖": [ - "ㄐㄧㄠ1" - ], - "𡓘": [ - "ㄏㄨㄛ4" - ], - "𡓣": [ - "ㄍㄨㄛ1" - ], - "𡓦": [ - "ㄓㄢ4" - ], - "𡓭": [ - "ㄇㄧ3" - ], - "𡓰": [ - "ㄎㄨㄟ1" - ], - "𡓷": [ - "ㄉㄨㄛ4" - ], - "𡓿": [ - "ㄧㄣ2" - ], - "𡔇": [ - "ㄌㄟ4" - ], - "𡔕": [ - "ㄍㄨㄥ4" - ], - "𡔛": [ - "ㄊㄧㄥ3" - ], - "𡔜": [ - "ㄧㄠ2" - ], - "𡔞": [ - "ㄨㄤ3" - ], - "𡔣": [ - "ㄐㄧㄝ2", - "ㄑㄧㄝ4" - ], - "𡔨": [ - "ㄒㄧㄡ1" - ], - "𡔪": [ - "ㄕㄨ4" - ], - "𡔱": [ - "ㄨㄟ4" - ], - "𡔴": [ - "ㄩ4" - ], - "𡕁": [ - "ㄓㄢ1" - ], - "𡕉": [ - "ㄤ1" - ], - "𡕏": [ - "ㄙㄤ3" - ], - "𡕐": [ - "ㄔㄡ2" - ], - "𡕒": [ - "ㄎㄨㄚ4" - ], - "𡕖": [ - "ㄐㄩ3", - "ㄈㄥ2" - ], - "𡕗": [ - "ㄏㄞ4" - ], - "𡕢": [ - "ㄇㄧㄢ3", - "ㄇㄢ3" - ], - "𡕧": [ - "ㄏㄤ4" - ], - "𡕪": [ - "ㄔㄡ2" - ], - "𡕮": [ - "ㄌㄧㄥ2" - ], - "𡕰": [ - "ㄗㄨㄥ1" - ], - "𡖉": [ - "ㄎㄨㄣ1" - ], - "𡖌": [ - "ㄓㄨㄥ1" - ], - "𡖎": [ - "ㄓㄠ1" - ], - "𡖐": [ - "ㄉㄧㄝ3" - ], - "𡖑": [ - "ㄍㄡ3" - ], - "𡖒": [ - "ㄩㄣ2" - ], - "𡖓": [ - "ㄉㄢ1" - ], - "𡖔": [ - "ㄋㄨㄛ2", - "ㄋㄨㄛ3" - ], - "𡖛": [ - "ㄅㄧㄥ3" - ], - "𡖝": [ - "ㄖㄢ2" - ], - "𡖞": [ - "ㄔㄢ1" - ], - "𡖢": [ - "ㄖㄨㄥ3" - ], - "𡖣": [ - "ㄧㄣ1" - ], - "𡖤": [ - "ㄔㄢ1" - ], - "𡖧": [ - "ㄓ4" - ], - "𡖪": [ - "ㄍㄨㄞ4" - ], - "𡖫": [ - "ㄋㄨㄛ2" - ], - "𡖬": [ - "ㄕㄣ1" - ], - "𡖯": [ - "ㄙㄨ4" - ], - "𡖲": [ - "ㄨㄛ3" - ], - "𡖳": [ - "ㄔ3" - ], - "𡖺": [ - "ㄇㄧㄝ4" - ], - "𡖻": [ - "ㄓ2" - ], - "𡖾": [ - "ㄑㄧ1" - ], - "𡗁": [ - "ㄍㄡ1" - ], - "𡗆": [ - "ㄌㄡ3" - ], - "𡗈": [ - "ㄗ1" - ], - "𡗍": [ - "ㄉㄤ3" - ], - "𡗏": [ - "ㄒㄧㄢ3" - ], - "𡗑": [ - "ㄖㄡ3" - ], - "𡗗": [ - "ㄆㄥ3" - ], - "𡗞": [ - "ㄒㄧ1" - ], - "𡗢": [ - "ㄎㄨㄚ1", - "ㄅㄣ3" - ], - "𡗤": [ - "ㄍㄨㄟ4" - ], - "𡗥": [ - "ㄔㄨㄣ2" - ], - "𡗦": [ - "ㄐㄧㄝ4" - ], - "𡗲": [ - "ㄐㄧㄝ4", - "ㄅㄣ1" - ], - "𡗳": [ - "ㄒㄧ1" - ], - "𡗵": [ - "ㄎㄨ1" - ], - "𡗷": [ - "ㄍㄨ1" - ], - "𡗸": [ - "ㄓㄚ4", - "ㄎㄨㄚ1" - ], - "𡗹": [ - "ㄈㄢ4" - ], - "𡗼": [ - "ㄒㄧㄝ4" - ], - "𡘍": [ - "ㄏㄨㄢ2", - "ㄑㄧㄝ2" - ], - "𡘏": [ - "ㄋㄧㄠ3" - ], - "𡘐": [ - "ㄒㄧ4" - ], - "𡘛": [ - "ㄘㄨ1" - ], - "𡘝": [ - "ㄍㄨㄣ3" - ], - "𡘡": [ - "ㄒㄧ1" - ], - "𡘧": [ - "ㄑㄧㄚ2" - ], - "𡘪": [ - "ㄇㄤ1" - ], - "𡘭": [ - "ㄓㄜ2" - ], - "𡘰": [ - "ㄐㄩㄢ4" - ], - "𡘴": [ - "ㄅㄧㄝ1" - ], - "𡙀": [ - "ㄅㄧㄝ1" - ], - "𡙅": [ - "ㄑㄩㄢ2" - ], - "𡙋": [ - "ㄒㄧ4" - ], - "𡙎": [ - "ㄐㄧㄠ3", - "ㄇㄧㄠ3" - ], - "𡙐": [ - "ㄑㄩㄢ2" - ], - "𡙑": [ - "ㄓ3" - ], - "𡙒": [ - "ㄊㄧㄢ1" - ], - "𡙓": [ - "ㄎㄞ1" - ], - "𡙘": [ - "ㄙㄢ3", - "ㄧ4" - ], - "𡙛": [ - "ㄗ1" - ], - "𡙣": [ - "ㄐㄧㄝ2" - ], - "𡙪": [ - "ㄅㄧㄝ2" - ], - "𡙬": [ - "ㄉㄡ4" - ], - "𡙭": [ - "ㄗㄨㄟ1" - ], - "𡙶": [ - "ㄧㄢ3" - ], - "𡚁": [ - "ㄅㄧ4" - ], - "𡚅": [ - "ㄎㄨㄞ3" - ], - "𡚇": [ - "ㄧㄢ4" - ], - "𡚈": [ - "ㄨㄟ2" - ], - "𡚊": [ - "ㄏㄨㄢ1" - ], - "𡚌": [ - "ㄏㄠ4" - ], - "𡚑": [ - "ㄍㄨㄥ1" - ], - "𡚔": [ - "ㄇㄥ2" - ], - "𡚗": [ - "ㄌㄟ3" - ], - "𡚙": [ - "ㄉㄧ4" - ], - "𡚛": [ - "ㄅㄧㄥ3" - ], - "𡚜": [ - "ㄏㄨㄢ1", - "ㄎㄢ4" - ], - "𡚟": [ - "ㄨㄚ1" - ], - "𡚠": [ - "ㄐㄩㄝ2" - ], - "𡚨": [ - "ㄔ4" - ], - "𡚭": [ - "ㄅㄚ1" - ], - "𡚮": [ - "ㄐㄧㄡ3" - ], - "𡚷": [ - "ㄉㄧ4" - ], - "𡚹": [ - "ㄓㄤ4" - ], - "𡚻": [ - "ㄉㄚ4" - ], - "𡚼": [ - "ㄕ2" - ], - "𡚽": [ - "ㄏㄠ4" - ], - "𡛌": [ - "ㄧㄝ4" - ], - "𡛗": [ - "ㄅㄧ4" - ], - "𡛘": [ - "ㄆㄧ3" - ], - "𡛙": [ - "ㄧㄠ3", - "ㄧㄠ1" - ], - "𡛜": [ - "ㄉㄧ1" - ], - "𡛝": [ - "ㄘㄢ4" - ], - "𡛞": [ - "ㄆㄧㄣ2" - ], - "𡛟": [ - "ㄩㄝ4" - ], - "𡛠": [ - "ㄑㄧㄝ1" - ], - "𡛡": [ - "ㄆㄧ1" - ], - "𡛵": [ - "ㄊㄨㄛ3" - ], - "𡛶": [ - "ㄒㄧㄝ4" - ], - "𡛽": [ - "ㄧㄝ4" - ], - "𡜀": [ - "ㄈㄢ4" - ], - "𡜁": [ - "ㄍㄨㄚ1" - ], - "𡜂": [ - "ㄏㄨ4" - ], - "𡜃": [ - "ㄖㄨ3" - ], - "𡜉": [ - "ㄖㄢ3", - "ㄖㄢ4" - ], - "𡜊": [ - "ㄈㄡ3" - ], - "𡜋": [ - "ㄏㄨㄤ1" - ], - "𡜚": [ - "ㄖㄨ2" - ], - "𡜢": [ - "ㄇㄠ3" - ], - "𡜥": [ - "ㄉㄨㄟ1" - ], - "𡜦": [ - "ㄏㄨㄟ4" - ], - "𡜧": [ - "ㄒㄧ4" - ], - "𡜨": [ - "ㄒㄧㄡ1" - ], - "𡜫": [ - "ㄖㄢ3" - ], - "𡜬": [ - "ㄧ1" - ], - "𡜯": [ - "ㄓㄜ2" - ], - "𡜱": [ - "ㄐㄧ4" - ], - "𡜲": [ - "ㄍㄠ4" - ], - "𡜳": [ - "ㄧㄡ4" - ], - "𡜵": [ - "ㄆㄨ1" - ], - "𡝈": [ - "ㄔㄨ4" - ], - "𡝉": [ - "ㄘㄨ1" - ], - "𡝊": [ - "ㄓㄜ2" - ], - "𡝋": [ - "ㄋㄧㄠ3" - ], - "𡝍": [ - "ㄑㄧㄝ4" - ], - "𡝐": [ - "ㄔㄚ2" - ], - "𡝒": [ - "ㄋㄧㄠ3" - ], - "𡝓": [ - "ㄙㄨㄟ1" - ], - "𡝙": [ - "ㄔㄚ2" - ], - "𡝚": [ - "ㄔㄥ2" - ], - "𡝛": [ - "ㄧㄠ2" - ], - "𡝜": [ - "ㄉㄨ4" - ], - "𡝝": [ - "ㄨㄤ1" - ], - "𡝟": [ - "ㄋㄧㄢ4" - ], - "𡝠": [ - "ㄇㄧ2" - ], - "𡝦": [ - "ㄋㄡ3" - ], - "𡝧": [ - "ㄒㄧ4" - ], - "𡝩": [ - "ㄧㄠ1" - ], - "𡝫": [ - "ㄔㄢ1" - ], - "𡞘": [ - "ㄒㄧㄝ4" - ], - "𡞙": [ - "ㄇㄧㄝ4" - ], - "𡞚": [ - "ㄎㄥ3" - ], - "𡞜": [ - "ㄘㄨ4" - ], - "𡞞": [ - "ㄕㄥ3" - ], - "𡞟": [ - "ㄆㄢ4" - ], - "𡞠": [ - "ㄏㄨ4" - ], - "𡞢": [ - "ㄎㄜ4" - ], - "𡞣": [ - "ㄒㄧㄢ4" - ], - "𡞥": [ - "ㄏㄡ2" - ], - "𡞦": [ - "ㄑㄩㄥ2" - ], - "𡞧": [ - "ㄗㄨㄥ1" - ], - "𡞪": [ - "ㄈㄨ2" - ], - "𡞫": [ - "ㄋㄞ4" - ], - "𡞭": [ - "ㄋㄧ4" - ], - "𡞯": [ - "ㄎㄨ3" - ], - "𡞾": [ - "ㄋㄣ4" - ], - "𡟍": [ - "ㄍㄜ1" - ], - "𡟑": [ - "ㄏㄡ2" - ], - "𡟓": [ - "ㄞ1" - ], - "𡟕": [ - "ㄕ1" - ], - "𡟞": [ - "ㄒㄧㄡ1" - ], - "𡟟": [ - "ㄘㄨㄥ1" - ], - "𡟠": [ - "ㄐㄧㄠ1" - ], - "𡟢": [ - "ㄓㄚ2" - ], - "𡟣": [ - "ㄒㄧㄠ1" - ], - "𡟤": [ - "ㄌㄧㄢ4" - ], - "𡟥": [ - "ㄑㄩ3" - ], - "𡟨": [ - "ㄕㄢ3" - ], - "𡟩": [ - "ㄒㄧㄝ4" - ], - "𡟫": [ - "ㄍㄨㄥ4" - ], - "𡟬": [ - "ㄇㄧㄝ4" - ], - "𡟭": [ - "ㄔㄞ2" - ], - "𡟯": [ - "ㄣ1" - ], - "𡟳": [ - "ㄉㄡ4" - ], - "𡠆": [ - "ㄎㄡ4" - ], - "𡠊": [ - "ㄊㄧㄠ2" - ], - "𡠋": [ - "ㄕ1" - ], - "𡠏": [ - "ㄙㄤ1" - ], - "𡠒": [ - "ㄍㄨㄢ1" - ], - "𡠖": [ - "ㄏㄠ4" - ], - "𡠗": [ - "ㄓ4" - ], - "𡠘": [ - "ㄧㄤ4" - ], - "𡠙": [ - "ㄊㄨㄥ1" - ], - "𡠚": [ - "ㄅㄧ4" - ], - "𡠜": [ - "ㄇㄛ2", - "ㄇㄛ4" - ], - "𡠞": [ - "ㄈㄨ2" - ], - "𡠥": [ - "ㄑㄧㄤ2" - ], - "𡠹": [ - "ㄓ4" - ], - "𡠼": [ - "ㄙㄡ1" - ], - "𡠿": [ - "ㄋㄧㄠ3" - ], - "𡡀": [ - "ㄐㄩㄢ4" - ], - "𡡂": [ - "ㄧㄤ4" - ], - "𡡄": [ - "ㄏㄨㄤ1" - ], - "𡡈": [ - "ㄅㄥ1" - ], - "𡡉": [ - "ㄇㄛ2" - ], - "𡡊": [ - "ㄔㄠ2" - ], - "𡡎": [ - "ㄌㄩ3", - "ㄌㄡ2" - ], - "𡡏": [ - "ㄕㄠ1" - ], - "𡡐": [ - "ㄅㄨ3" - ], - "𡡑": [ - "ㄗㄥ1" - ], - "𡡒": [ - "ㄙ1", - "ㄒㄧ1" - ], - "𡡔": [ - "ㄗㄨㄟ4" - ], - "𡡕": [ - "ㄩㄝ1" - ], - "𡡖": [ - "ㄗㄢ1", - "ㄘㄢ1" - ], - "𡡗": [ - "ㄌㄨㄢ3", - "ㄌㄨㄢ4" - ], - "𡡥": [ - "ㄑㄩ2" - ], - "𡡺": [ - "ㄇㄧㄠ3" - ], - "𡢀": [ - "ㄓㄨㄢ4" - ], - "𡢈": [ - "ㄉㄤ4" - ], - "𡢊": [ - "ㄩㄢ1" - ], - "𡢒": [ - "ㄐㄩ3" - ], - "𡢕": [ - "ㄏㄨㄟ3" - ], - "𡢖": [ - "ㄑㄧ4" - ], - "𡢘": [ - "ㄩㄣ4", - "ㄧㄥ2" - ], - "𡢚": [ - "ㄇㄢ4" - ], - "𡢜": [ - "ㄇㄛ3" - ], - "𡢱": [ - "ㄆㄧㄠ1" - ], - "𡢳": [ - "ㄐㄧㄣ4" - ], - "𡢹": [ - "ㄧㄠ1" - ], - "𡣀": [ - "ㄔ4" - ], - "𡣁": [ - "ㄋㄧ4" - ], - "𡣂": [ - "ㄙㄡ1" - ], - "𡣈": [ - "ㄕㄨ4" - ], - "𡣋": [ - "ㄆㄧㄠ1" - ], - "𡣔": [ - "ㄏㄢ4" - ], - "𡣠": [ - "ㄧㄠ1" - ], - "𡣢": [ - "ㄋㄟ2" - ], - "𡣪": [ - "ㄕ4" - ], - "𡣬": [ - "ㄩㄢ1" - ], - "𡣮": [ - "ㄘㄞ4" - ], - "𡣯": [ - "ㄐㄧㄝ2" - ], - "𡣹": [ - "ㄒㄧㄝ4" - ], - "𡣽": [ - "ㄧㄢ2" - ], - "𡣾": [ - "ㄒㄧㄠ1" - ], - "𡤋": [ - "ㄒㄧㄝ4" - ], - "𡤌": [ - "ㄌㄧ4" - ], - "𡤎": [ - "ㄈㄢ4" - ], - "𡤗": [ - "ㄓㄨ4" - ], - "𡤙": [ - "ㄋㄚ4" - ], - "𡤛": [ - "ㄓㄨㄢ3" - ], - "𡤞": [ - "ㄎㄨㄟ1" - ], - "𡤢": [ - "ㄌㄨㄛ2" - ], - "𡤫": [ - "ㄑㄧㄚ1" - ], - "𡤶": [ - "ㄨㄢ1" - ], - "𡤽": [ - "ㄕㄨ3" - ], - "𡤿": [ - "ㄔㄥ4", - "ㄎㄨㄥ3" - ], - "𡥁": [ - "ㄧ4" - ], - "𡥆": [ - "ㄏㄠ3", - "ㄏㄠ4" - ], - "𡥈": [ - "ㄐㄧㄠ4" - ], - "𡥋": [ - "ㄏㄨㄟ4" - ], - "𡥍": [ - "ㄒㄧㄠ4" - ], - "𡥎": [ - "ㄘ2", - "ㄗ3" - ], - "𡥞": [ - "ㄐㄧ4", - "ㄅㄟ4" - ], - "𡥦": [ - "ㄋㄧ3", - "ㄐㄧㄣ4" - ], - "𡥨": [ - "ㄋㄧ3", - "ㄐㄧㄣ4" - ], - "𡥩": [ - "ㄊㄧ3" - ], - "𡥶": [ - "ㄐㄩ4", - "ㄖㄨ2" - ], - "𡥸": [ - "ㄇㄧㄥ4" - ], - "𡥽": [ - "ㄌㄧ2" - ], - "𡥿": [ - "ㄓㄨㄥ4" - ], - "𡦁": [ - "ㄒㄩ4" - ], - "𡦃": [ - "ㄑㄩㄥ2" - ], - "𡦄": [ - "ㄈㄨ2" - ], - "𡦆": [ - "ㄅㄧㄣ4" - ], - "𡦊": [ - "ㄐㄧ4" - ], - "𡦍": [ - "ㄑㄧ2" - ], - "𡦎": [ - "ㄒㄧ4" - ], - "𡦔": [ - "ㄉㄥ4" - ], - "𡦕": [ - "ㄦ2" - ], - "𡦛": [ - "ㄕㄨ2" - ], - "𡦜": [ - "ㄊㄨㄥ2" - ], - "𡦝": [ - "ㄒㄧㄠ1", - "ㄒㄧㄠ2" - ], - "𡦟": [ - "ㄆㄧ2" - ], - "𡦨": [ - "ㄉㄢ3" - ], - "𡦪": [ - "ㄐㄧ2" - ], - "𡦳": [ - "ㄒㄧㄠ4" - ], - "𡦷": [ - "ㄘㄨㄥ2" - ], - "𡦻": [ - "ㄅㄧㄣ1" - ], - "𡦼": [ - "ㄖㄨㄥ3" - ], - "𡧍": [ - "ㄇㄧㄢ4", - "ㄅㄧㄣ1" - ], - "𡧒": [ - "ㄇㄧㄢ4" - ], - "𡧔": [ - "ㄕㄨ1" - ], - "𡧕": [ - "ㄒㄧㄠ2", - "ㄕㄡ3" - ], - "𡧖": [ - "ㄅㄠ3" - ], - "𡧗": [ - "ㄨㄚ4" - ], - "𡧙": [ - "ㄆㄠ4" - ], - "𡧣": [ - "ㄍㄞ3" - ], - "𡧥": [ - "ㄏㄨ1" - ], - "𡧦": [ - "ㄏㄥ2" - ], - "𡧨": [ - "ㄓㄨ2" - ], - "𡧩": [ - "ㄍㄨㄞ1" - ], - "𡧭": [ - "ㄍㄨㄟ4", - "ㄍㄨㄟ3" - ], - "𡧹": [ - "ㄉㄞ4" - ], - "𡧼": [ - "ㄅㄧㄣ1" - ], - "𡧽": [ - "ㄏㄨㄤ3", - "ㄏㄨㄤ1" - ], - "𡨀": [ - "ㄔㄚ2" - ], - "𡨄": [ - "ㄒㄧㄚ4", - "ㄙㄞ1" - ], - "𡨅": [ - "ㄐㄩ2" - ], - "𡨇": [ - "ㄧㄠ3", - "ㄒㄧㄤ3" - ], - "𡨖": [ - "ㄈㄣ3" - ], - "𡨗": [ - "ㄗㄠ4" - ], - "𡨛": [ - "ㄈㄥ1" - ], - "𡨢": [ - "ㄐㄩ1" - ], - "𡨣": [ - "ㄩ4" - ], - "𡨩": [ - "ㄏㄨㄣ1" - ], - "𡨲": [ - "ㄐㄧㄝ2" - ], - "𡨳": [ - "ㄒㄩㄥ4", - "ㄏㄨㄣ4" - ], - "𡨵": [ - "ㄋㄞ4" - ], - "𡨻": [ - "ㄋㄡ3" - ], - "𡨽": [ - "ㄕㄥ3" - ], - "𡨿": [ - "ㄩ4" - ], - "𡩂": [ - "ㄏㄨㄢ2" - ], - "𡩃": [ - "ㄍㄥ3" - ], - "𡩄": [ - "ㄨㄢ3" - ], - "𡩆": [ - "ㄊㄨㄛ2" - ], - "𡩇": [ - "ㄑㄧㄠ1" - ], - "𡩘": [ - "ㄧㄣ4" - ], - "𡩚": [ - "ㄐㄧㄚ1", - "ㄓㄨㄢ4" - ], - "𡩡": [ - "ㄙㄨㄛ3" - ], - "𡩣": [ - "ㄐㄧㄝ2" - ], - "𡩤": [ - "ㄒㄧ1" - ], - "𡩥": [ - "ㄨㄥ3" - ], - "𡩩": [ - "ㄇㄤ2" - ], - "𡩶": [ - "ㄧㄤ2" - ], - "𡩸": [ - "ㄧㄠ2" - ], - "𡩽": [ - "ㄇㄤ2" - ], - "𡩾": [ - "ㄡ1" - ], - "𡪁": [ - "ㄢ2" - ], - "𡪅": [ - "ㄌㄡ4" - ], - "𡪑": [ - "ㄜ4" - ], - "𡪒": [ - "ㄗ3" - ], - "𡪗": [ - "ㄜ4" - ], - "𡪙": [ - "ㄢ4" - ], - "𡪞": [ - "ㄏㄨㄛ4" - ], - "𡪠": [ - "ㄘㄥ2" - ], - "𡪰": [ - "ㄒㄩㄥ4" - ], - "𡪱": [ - "ㄐㄧ4" - ], - "𡪳": [ - "ㄗㄨㄛ2" - ], - "𡪵": [ - "ㄑㄧ2" - ], - "𡪺": [ - "ㄓㄥ1" - ], - "𡫀": [ - "ㄐㄧ1" - ], - "𡫁": [ - "ㄑㄧ1", - "ㄔㄣ4" - ], - "𡫂": [ - "ㄐㄩㄢ3" - ], - "𡫃": [ - "ㄋㄧㄥ2" - ], - "𡫟": [ - "ㄙㄜ4" - ], - "𡫥": [ - "ㄏㄜ4" - ], - "𡫦": [ - "ㄖㄨㄥ3" - ], - "𡫧": [ - "ㄑㄧㄣ3" - ], - "𡫬": [ - "ㄐㄩ1" - ], - "𡫯": [ - "ㄌㄧ4" - ], - "𡫵": [ - "ㄕ2" - ], - "𡫸": [ - "ㄋㄧ4" - ], - "𡫹": [ - "ㄒㄧㄢ2" - ], - "𡫺": [ - "ㄈㄨ1" - ], - "𡫽": [ - "ㄖㄨ3", - "ㄩ4" - ], - "𡬁": [ - "ㄒㄩㄥ4" - ], - "𡬂": [ - "ㄍㄨㄟ4" - ], - "𡬄": [ - "ㄐㄧ4" - ], - "𡬆": [ - "ㄇㄥ3", - "ㄇㄥ4" - ], - "𡬇": [ - "ㄈㄨ1" - ], - "𡬉": [ - "ㄙㄞ4" - ], - "𡬊": [ - "ㄩ4" - ], - "𡬋": [ - "ㄐㄧㄠ4" - ], - "𡬌": [ - "ㄇㄥ4" - ], - "𡬍": [ - "ㄇㄧ2", - "ㄌㄨㄥ2", - "ㄇㄧ3" - ], - "𡬎": [ - "ㄑㄧㄤ1" - ], - "𡬐": [ - "ㄧ2", - "ㄇㄧ2" - ], - "𡬓": [ - "ㄧ2" - ], - "𡬕": [ - "ㄌㄨㄥ2" - ], - "𡬖": [ - "ㄏㄢ1" - ], - "𡬗": [ - "ㄋㄧ4" - ], - "𡬘": [ - "ㄌㄠ4" - ], - "𡬙": [ - "ㄙㄥ4" - ], - "𡬜": [ - "ㄌㄧㄣ3" - ], - "𡬞": [ - "ㄩ4" - ], - "𡬥": [ - "ㄋㄨㄛ2" - ], - "𡬫": [ - "ㄨ4" - ], - "𡬯": [ - "ㄅㄧㄢ3" - ], - "𡬲": [ - "ㄅㄧㄢ3" - ], - "𡬳": [ - "ㄒㄩㄢ1", - "ㄕㄡ4" - ], - "𡬵": [ - "ㄐㄧㄢ1" - ], - "𡬸": [ - "ㄅㄧㄢ3" - ], - "𡭂": [ - "ㄉㄜ2" - ], - "𡭇": [ - "ㄓㄨㄢ1" - ], - "𡭋": [ - "ㄖㄨㄥ3" - ], - "𡭐": [ - "ㄕㄨㄢ4" - ], - "𡭘": [ - "ㄐㄧㄚ1" - ], - "𡭛": [ - "ㄏㄨㄟ3" - ], - "𡭞": [ - "ㄓㄢ1" - ], - "𡭢": [ - "ㄅㄞ4" - ], - "𡭣": [ - "ㄌㄧㄝ4" - ], - "𡭥": [ - "ㄒㄧㄝ1" - ], - "𡭭": [ - "ㄐㄧㄢ3" - ], - "𡭮": [ - "ㄕㄡ3" - ], - "𡭳": [ - "ㄎㄠ4" - ], - "𡭷": [ - "ㄍㄨㄢ1" - ], - "𡭸": [ - "ㄌㄨㄢ4" - ], - "𡭾": [ - "ㄋㄡ3" - ], - "𡭿": [ - "ㄔㄤ3" - ], - "𡮎": [ - "ㄌㄧㄤ2" - ], - "𡮙": [ - "ㄋㄞ4" - ], - "𡮚": [ - "ㄖㄨ3" - ], - "𡮞": [ - "ㄓ4" - ], - "𡮦": [ - "ㄘㄠ2" - ], - "𡮰": [ - "ㄌㄧ4" - ], - "𡮻": [ - "ㄌㄢ2" - ], - "𡮿": [ - "ㄔㄢ1" - ], - "𡯁": [ - "ㄨㄤ1" - ], - "𡯄": [ - "ㄌㄧ4" - ], - "𡯇": [ - "ㄨ4" - ], - "𡯈": [ - "ㄆㄠ2" - ], - "𡯉": [ - "ㄧㄡ4" - ], - "𡯋": [ - "ㄍㄢ1" - ], - "𡯏": [ - "ㄢ1" - ], - "𡯐": [ - "ㄒㄧㄡ1" - ], - "𡯑": [ - "ㄕㄨㄟ3", - "ㄓㄨㄟ3" - ], - "𡯒": [ - "ㄖㄨㄟ3" - ], - "𡯘": [ - "ㄅㄢ3" - ], - "𡯙": [ - "ㄧㄡ2" - ], - "𡯢": [ - "ㄏㄨㄛ2" - ], - "𡯥": [ - "ㄏㄨㄟ1" - ], - "𡯨": [ - "ㄗㄨㄛ4" - ], - "𡯩": [ - "ㄒㄧㄠ1" - ], - "𡯫": [ - "ㄇㄧㄢ2" - ], - "𡯰": [ - "ㄍㄚ4" - ], - "𡯱": [ - "ㄩㄢ3" - ], - "𡯳": [ - "ㄅㄛ4" - ], - "𡯴": [ - "ㄔㄠ4" - ], - "𡯵": [ - "ㄊㄨㄟ3", - "ㄎㄨㄟ4" - ], - "𡯷": [ - "ㄅㄛ4", - "ㄎㄡ4" - ], - "𡯽": [ - "ㄍㄚ4" - ], - "𡯿": [ - "ㄊㄧㄠ1" - ], - "𡰀": [ - "ㄋㄚ2" - ], - "𡰅": [ - "ㄏㄨ2" - ], - "𡰆": [ - "ㄋㄧㄝ4" - ], - "𡰋": [ - "ㄏㄨㄟ2" - ], - "𡰌": [ - "ㄌㄡ3" - ], - "𡰎": [ - "ㄊㄧ2" - ], - "𡰐": [ - "ㄑㄧㄠ4" - ], - "𡰑": [ - "ㄑㄧㄠ2" - ], - "𡰒": [ - "ㄓㄨㄥ3" - ], - "𡰖": [ - "ㄉㄧ1" - ], - "𡰚": [ - "ㄌㄧㄣ2" - ], - "𡰝": [ - "ㄑㄩㄢ2" - ], - "𡰞": [ - "ㄓㄨㄢ1" - ], - "𡰠": [ - "ㄌㄟ2", - "ㄌㄨㄢ2" - ], - "𡰢": [ - "ㄒㄧㄝ2" - ], - "𡰥": [ - "ㄖㄣ2", - "ㄧ2" - ], - "𡰨": [ - "ㄉㄤ1" - ], - "𡰪": [ - "ㄉㄨ1" - ], - "𡰫": [ - "ㄋㄧㄢ3" - ], - "𡰯": [ - "ㄕ3", - "ㄉㄧㄠ3", - "ㄅㄟ3" - ], - "𡰲": [ - "ㄒㄧㄢ2" - ], - "𡰹": [ - "ㄓ2" - ], - "𡰽": [ - "ㄞ4" - ], - "𡰾": [ - "ㄘ1" - ], - "𡰿": [ - "ㄆㄨ2" - ], - "𡱁": [ - "ㄕ3" - ], - "𡱅": [ - "ㄑㄩ1" - ], - "𡱆": [ - "ㄕㄨ3" - ], - "𡱇": [ - "ㄉㄧㄢ1" - ], - "𡱉": [ - "ㄒㄧㄠ3" - ], - "𡱊": [ - "ㄕㄨㄟ3" - ], - "𡱌": [ - "ㄏㄨㄢ2" - ], - "𡱐": [ - "ㄧ2" - ], - "𡱑": [ - "ㄐㄩㄢ1" - ], - "𡱔": [ - "ㄓ3", - "ㄑㄧ4" - ], - "𡱜": [ - "ㄓㄠ4" - ], - "𡱣": [ - "ㄒㄩ4" - ], - "𡱯": [ - "ㄌㄨㄥ4" - ], - "𡱱": [ - "ㄓㄨ4" - ], - "𡱳": [ - "ㄙㄨㄛ3" - ], - "𡱷": [ - "ㄉㄧㄝ2" - ], - "𡱺": [ - "ㄑㄩ2" - ], - "𡱼": [ - "ㄎㄜ4", - "ㄎㄨㄚ4" - ], - "𡱽": [ - "ㄏㄨ1" - ], - "𡱾": [ - "ㄐㄩ1" - ], - "𡲀": [ - "ㄑㄧㄥ3" - ], - "𡲍": [ - "ㄅㄧㄥ1" - ], - "𡲕": [ - "ㄊㄧ4" - ], - "𡲗": [ - "ㄐㄩㄝ2" - ], - "𡲚": [ - "ㄑㄧㄡ2" - ], - "𡲣": [ - "ㄐㄧㄤ4" - ], - "𡲪": [ - "ㄩㄣ4" - ], - "𡲭": [ - "ㄇㄟ4" - ], - "𡲮": [ - "ㄆㄧ1" - ], - "𡲰": [ - "ㄑㄩ2" - ], - "𡲼": [ - "ㄇㄧ4" - ], - "𡲿": [ - "ㄊㄧ4" - ], - "𡳂": [ - "ㄎㄞ4" - ], - "𡳄": [ - "ㄅㄧ3" - ], - "𡳆": [ - "ㄑㄩ1", - "ㄑㄩ4" - ], - "𡳏": [ - "ㄊㄧㄠ1" - ], - "𡳑": [ - "ㄔㄨ4" - ], - "𡳘": [ - "ㄐㄩ2" - ], - "𡳚": [ - "ㄒㄧ1" - ], - "𡳞": [ - "ㄌㄧㄣ4" - ], - "𡳭": [ - "ㄔ3" - ], - "𡳮": [ - "ㄐㄧ1" - ], - "𡳴": [ - "ㄌㄨ2" - ], - "𡳸": [ - "ㄌㄧ4" - ], - "𡳾": [ - "ㄐㄩㄝ2" - ], - "𡴅": [ - "ㄓㄨ1" - ], - "𡴆": [ - "ㄌㄨ4" - ], - "𡴎": [ - "ㄋㄧㄝ4" - ], - "𡴔": [ - "ㄑㄩㄢ2" - ], - "𡴭": [ - "ㄧㄚ4" - ], - "𡴯": [ - "ㄜ4" - ], - "𡴱": [ - "ㄏㄨ4", - "ㄐㄧㄝ2" - ], - "𡵀": [ - "ㄇㄤ2" - ], - "𡵉": [ - "ㄨ4" - ], - "𡵌": [ - "ㄔㄚ1" - ], - "𡵑": [ - "ㄑㄧㄣ1" - ], - "𡵒": [ - "ㄐㄧㄝ2", - "ㄑㄧ3" - ], - "𡵓": [ - "ㄏㄨㄥ2" - ], - "𡵕": [ - "ㄉㄢ1" - ], - "𡵖": [ - "ㄣ3" - ], - "𡵗": [ - "ㄗㄜ4" - ], - "𡵘": [ - "ㄏㄨ4" - ], - "𡵙": [ - "ㄤ4" - ], - "𡵚": [ - "ㄐㄧㄝ4" - ], - "𡵛": [ - "ㄈㄨ4" - ], - "𡵜": [ - "ㄩㄥ4" - ], - "𡵞": [ - "ㄈㄥ1" - ], - "𡵬": [ - "ㄇㄨ4" - ], - "𡵶": [ - "ㄙㄜ4" - ], - "𡵷": [ - "ㄘㄨㄥ2" - ], - "𡵻": [ - "ㄎㄤ1" - ], - "𡶂": [ - "ㄧㄠ4" - ], - "𡶃": [ - "ㄞ4" - ], - "𡶄": [ - "ㄅㄠ1" - ], - "𡶆": [ - "ㄆㄛ3" - ], - "𡶈": [ - "ㄕ3" - ], - "𡶉": [ - "ㄈㄢ4" - ], - "𡶋": [ - "ㄐㄩ2" - ], - "𡶌": [ - "ㄆㄧ2" - ], - "𡶎": [ - "ㄨㄟ4" - ], - "𡶏": [ - "ㄎㄨ1" - ], - "𡶐": [ - "ㄑㄧㄝ2" - ], - "𡶑": [ - "ㄍㄢ1" - ], - "𡶢": [ - "ㄎㄨㄤ4" - ], - "𡶣": [ - "ㄙㄨㄟ4" - ], - "𡶤": [ - "ㄅㄥ1", - "ㄩㄥ4" - ], - "𡶥": [ - "ㄐㄧㄚ1" - ], - "𡶦": [ - "ㄧㄚ4" - ], - "𡶪": [ - "ㄎㄢ4" - ], - "𡶫": [ - "ㄋㄧㄝ4" - ], - "𡶭": [ - "ㄒㄧㄥ2" - ], - "𡶯": [ - "ㄒㄧ4" - ], - "𡶱": [ - "ㄌㄧㄣ4" - ], - "𡶲": [ - "ㄉㄨㄛ3" - ], - "𡶴": [ - "ㄔㄢ3" - ], - "𡷈": [ - "ㄕ4" - ], - "𡷋": [ - "ㄉㄨㄟ4" - ], - "𡷍": [ - "ㄐㄧㄤ1" - ], - "𡷎": [ - "ㄩ3" - ], - "𡷏": [ - "ㄌㄨ4" - ], - "𡷐": [ - "ㄣ3" - ], - "𡷓": [ - "ㄍㄨ3" - ], - "𡷕": [ - "ㄨㄟ3" - ], - "𡷖": [ - "ㄔㄜ1" - ], - "𡷗": [ - "ㄏㄨㄢ4", - "ㄏㄨㄢ2" - ], - "𡷘": [ - "ㄅㄧㄝ2" - ], - "𡷛": [ - "ㄏㄢ4" - ], - "𡷜": [ - "ㄊㄨㄟ2" - ], - "𡷝": [ - "ㄋㄚ4" - ], - "𡷞": [ - "ㄑㄧ3" - ], - "𡷠": [ - "ㄊㄡ2" - ], - "𡷡": [ - "ㄩㄢ1" - ], - "𡷢": [ - "ㄨㄤ2" - ], - "𡷤": [ - "ㄨ2" - ], - "𡷥": [ - "ㄍㄠ4" - ], - "𡷨": [ - "ㄎㄥ1", - "ㄒㄧㄥ2" - ], - "𡷪": [ - "ㄧ2", - "ㄋㄧㄥ2" - ], - "𡷸": [ - "ㄒㄧㄠ1" - ], - "𡷺": [ - "ㄍㄨㄟ3" - ], - "𡷻": [ - "ㄧㄚ4" - ], - "𡷼": [ - "ㄙㄨㄟ4" - ], - "𡷽": [ - "ㄙㄨㄥ3" - ], - "𡷿": [ - "ㄓㄨㄛ2" - ], - "𡸂": [ - "ㄊㄨ1", - "ㄊㄨ2" - ], - "𡸃": [ - "ㄒㄧㄢ3", - "ㄐㄧㄢ3" - ], - "𡸈": [ - "ㄗㄜ4" - ], - "𡸉": [ - "ㄌㄧ4" - ], - "𡸌": [ - "ㄓㄨ4" - ], - "𡸎": [ - "ㄐㄧㄝ2" - ], - "𡸑": [ - "ㄊㄧ4" - ], - "𡸔": [ - "ㄒㄧㄝ2" - ], - "𡸕": [ - "ㄑㄩㄥ2" - ], - "𡸗": [ - "ㄧㄚ4" - ], - "𡸘": [ - "ㄐㄩ1" - ], - "𡸛": [ - "ㄧㄣ2" - ], - "𡸜": [ - "ㄓ2" - ], - "𡸞": [ - "ㄎㄢ3" - ], - "𡸟": [ - "ㄗ1" - ], - "𡸡": [ - "ㄎㄜ1" - ], - "𡸣": [ - "ㄋㄧㄝ4" - ], - "𡸤": [ - "ㄑㄧㄤ2" - ], - "𡸥": [ - "ㄨㄢ3" - ], - "𡸦": [ - "ㄗㄜ2" - ], - "𡸨": [ - "ㄐㄩ1" - ], - "𡸪": [ - "ㄗ4" - ], - "𡹄": [ - "ㄧㄚ4" - ], - "𡹇": [ - "ㄌㄧㄣ2" - ], - "𡹉": [ - "ㄑㄧ2" - ], - "𡹎": [ - "ㄏㄨㄟ2" - ], - "𡹓": [ - "ㄑㄧ4" - ], - "𡹕": [ - "ㄧㄤ2" - ], - "𡹖": [ - "ㄙㄨㄟ4" - ], - "𡹘": [ - "ㄑㄧ3" - ], - "𡹙": [ - "ㄍㄨㄟ1" - ], - "𡹢": [ - "ㄑㄧㄣ4" - ], - "𡹣": [ - "ㄜ1" - ], - "𡹥": [ - "ㄗㄨㄛ4" - ], - "𡹨": [ - "ㄗㄜ4" - ], - "𡹩": [ - "ㄑㄧ4" - ], - "𡹪": [ - "ㄐㄧ2" - ], - "𡹬": [ - "ㄊㄨㄛ2" - ], - "𡹭": [ - "ㄉㄧㄝ2" - ], - "𡹯": [ - "ㄏㄨㄟ4" - ], - "𡹰": [ - "ㄇㄠ2" - ], - "𡹲": [ - "ㄒㄩ3" - ], - "𡹵": [ - "ㄏㄡ2" - ], - "𡹶": [ - "ㄧㄢ3" - ], - "𡹷": [ - "ㄒㄧㄤ2" - ], - "𡹸": [ - "ㄘㄨㄥ1" - ], - "𡹹": [ - "ㄏㄨ2" - ], - "𡹼": [ - "ㄢ4", - "ㄧㄢ3" - ], - "𡹾": [ - "ㄅㄧㄥ3" - ], - "𡺇": [ - "ㄉㄨㄛ3" - ], - "𡺐": [ - "ㄓㄨ3" - ], - "𡺑": [ - "ㄉㄧㄝ2" - ], - "𡺒": [ - "ㄧㄡ1" - ], - "𡺓": [ - "ㄑㄧ3" - ], - "𡺔": [ - "ㄕ2" - ], - "𡺕": [ - "ㄒㄩㄣ1" - ], - "𡺖": [ - "ㄧㄡ1" - ], - "𡺗": [ - "ㄎㄢ1" - ], - "𡺘": [ - "ㄑㄧㄠ3" - ], - "𡺛": [ - "ㄑㄧㄤ1", - "ㄏㄨㄚ4" - ], - "𡺜": [ - "ㄆㄣ2" - ], - "𡺟": [ - "ㄑㄩㄢ2" - ], - "𡺡": [ - "ㄧㄥ2" - ], - "𡺧": [ - "ㄕㄚ1" - ], - "𡺫": [ - "ㄊㄠ1" - ], - "𡺭": [ - "ㄏㄨㄥ4" - ], - "𡺮": [ - "ㄆㄧ3" - ], - "𡺯": [ - "ㄧㄠ2" - ], - "𡺴": [ - "ㄊㄨ2" - ], - "𡺵": [ - "ㄔㄞ2" - ], - "𡺷": [ - "ㄒㄧㄚ4" - ], - "𡺸": [ - "ㄑㄧ2" - ], - "𡺺": [ - "ㄑㄩㄥ2" - ], - "𡺽": [ - "ㄐㄧㄣ4" - ], - "𡻈": [ - "ㄓㄣ1" - ], - "𡻌": [ - "ㄓㄨ1" - ], - "𡻎": [ - "ㄒㄧ1" - ], - "𡻐": [ - "ㄨㄥ1" - ], - "𡻑": [ - "ㄓㄨㄥ3" - ], - "𡻕": [ - "ㄙㄨㄟ4" - ], - "𡻘": [ - "ㄎㄜ1" - ], - "𡻙": [ - "ㄎㄨㄛ4" - ], - "𡻚": [ - "ㄎㄤ3" - ], - "𡻝": [ - "ㄔㄠ2" - ], - "𡻞": [ - "ㄅㄧ4" - ], - "𡻟": [ - "ㄇㄛ4" - ], - "𡻠": [ - "ㄓㄨ4" - ], - "𡻡": [ - "ㄏㄢ4", - "ㄧㄢ2" - ], - "𡻢": [ - "ㄩ3" - ], - "𡻣": [ - "ㄧ2" - ], - "𡻤": [ - "ㄇㄚ2" - ], - "𡻧": [ - "ㄑㄧ4" - ], - "𡻨": [ - "ㄍㄨㄣ4" - ], - "𡻩": [ - "ㄇㄢ4" - ], - "𡻪": [ - "ㄌㄧㄠ2", - "ㄌㄧㄡ4" - ], - "𡻫": [ - "ㄌㄧㄣ2" - ], - "𡻬": [ - "ㄗㄨ2" - ], - "𡻭": [ - "ㄌㄟ3" - ], - "𡻮": [ - "ㄏㄨ4" - ], - "𡻯": [ - "ㄔㄨㄤ3" - ], - "𡻰": [ - "ㄑㄧ4" - ], - "𡻱": [ - "ㄌㄟ2" - ], - "𡼁": [ - "ㄔ1" - ], - "𡼃": [ - "ㄆㄛ2" - ], - "𡼄": [ - "ㄉㄧㄝ2" - ], - "𡼊": [ - "ㄌㄟ3" - ], - "𡼎": [ - "ㄧ3" - ], - "𡼓": [ - "ㄉㄧㄢ4" - ], - "𡼖": [ - "ㄉㄨㄣ1" - ], - "𡼗": [ - "ㄍㄠ1" - ], - "𡼘": [ - "ㄏㄨ1" - ], - "𡼚": [ - "ㄒㄧㄠ1" - ], - "𡼛": [ - "ㄍㄚ2" - ], - "𡼜": [ - "ㄆㄥ1" - ], - "𡼬": [ - "ㄕㄣ3" - ], - "𡼱": [ - "ㄨㄟ2" - ], - "𡼻": [ - "ㄉㄨㄟ4" - ], - "𡼼": [ - "ㄔㄠ2" - ], - "𡼽": [ - "ㄧㄣ3" - ], - "𡼾": [ - "ㄎㄨㄞ4" - ], - "𡼿": [ - "ㄎㄨ1" - ], - "𡽁": [ - "ㄗㄨㄟ4" - ], - "𡽂": [ - "ㄍㄨ3" - ], - "𡽅": [ - "ㄩㄣ4" - ], - "𡽆": [ - "ㄓ4" - ], - "𡽉": [ - "ㄐㄧ4" - ], - "𡽊": [ - "ㄔㄥ1" - ], - "𡽖": [ - "ㄒㄧㄝ4" - ], - "𡽛": [ - "ㄗㄨㄟ3" - ], - "𡽜": [ - "ㄢ2" - ], - "𡽝": [ - "ㄏㄠ1" - ], - "𡽠": [ - "ㄆㄛ3" - ], - "𡽢": [ - "ㄉㄧ2" - ], - "𡽣": [ - "ㄧㄝ4" - ], - "𡽧": [ - "ㄋㄠ2" - ], - "𡽱": [ - "ㄐㄧㄝ2" - ], - "𡽲": [ - "ㄅㄤ4" - ], - "𡽳": [ - "ㄌㄢ3" - ], - "𡽴": [ - "ㄘㄤ2" - ], - "𡽶": [ - "ㄅㄧ4" - ], - "𡽻": [ - "ㄓㄢ3" - ], - "𡽼": [ - "ㄑㄧ4" - ], - "𡾂": [ - "ㄋㄠ2" - ], - "𡾅": [ - "ㄌㄩ4" - ], - "𡾇": [ - "ㄎㄨㄤ4" - ], - "𡾉": [ - "ㄇㄛ2" - ], - "𡾋": [ - "ㄌㄟ3", - "ㄌㄟ2" - ], - "𡾌": [ - "ㄆㄠ2" - ], - "𡾒": [ - "ㄌㄧ4" - ], - "𡾓": [ - "ㄘㄥ2" - ], - "𡾕": [ - "ㄉㄤ4" - ], - "𡾖": [ - "ㄌㄟ3" - ], - "𡾙": [ - "ㄜ4" - ], - "𡾛": [ - "ㄅㄥ4" - ], - "𡾜": [ - "ㄐㄩㄝ2", - "ㄏㄨㄛ4" - ], - "𡾥": [ - "ㄒㄩㄢ2" - ], - "𡾦": [ - "ㄋㄧㄝ4" - ], - "𡾨": [ - "ㄏㄞ4" - ], - "𡾮": [ - "ㄒㄧㄢ3" - ], - "𡾰": [ - "ㄐㄧㄢ3" - ], - "𡾱": [ - "ㄇㄧ2" - ], - "𡾲": [ - "ㄋㄧㄝ4" - ], - "𡾻": [ - "ㄘㄤ2" - ], - "𡾼": [ - "ㄙㄨㄥ3" - ], - "𡾽": [ - "ㄗㄥ1" - ], - "𡾾": [ - "ㄧ4" - ], - "𡿂": [ - "ㄔㄨㄥ2" - ], - "𡿄": [ - "ㄘㄤ2" - ], - "𡿉": [ - "ㄌㄟ3" - ], - "𡿊": [ - "ㄋㄨㄛ2" - ], - "𡿋": [ - "ㄌㄧ4" - ], - "𡿎": [ - "ㄌㄧ2" - ], - "𡿏": [ - "ㄌㄨㄛ2" - ], - "𡿓": [ - "ㄊㄤ3" - ], - "𡿖": [ - "ㄋㄧㄝ4", - "ㄧㄚ4" - ], - "𡿗": [ - "ㄋㄧㄝ4" - ], - "𡿙": [ - "ㄐㄧ1" - ], - "𡿛": [ - "ㄌㄟ3" - ], - "𡿝": [ - "ㄋㄤ4" - ], - "𡿠": [ - "ㄌㄧㄣ2" - ], - "𡿡": [ - "ㄌㄧㄥ2" - ], - "𡿤": [ - "ㄒㄧㄢ2" - ], - "𡿥": [ - "ㄩ4" - ], - "𡿧": [ - "ㄗㄞ1" - ], - "𡿨": [ - "ㄑㄩㄢ3" - ], - "𡿩": [ - "ㄌㄧㄝ4" - ], - "𡿯": [ - "ㄩ4" - ], - "𡿰": [ - "ㄏㄨㄤ1" - ], - "𡿺": [ - "ㄋㄠ3" - ], - "𡿼": [ - "ㄒㄩㄣ4" - ], - "𡿾": [ - "ㄐㄩ2" - ], - "𡿿": [ - "ㄏㄨㄛ4" - ], - "𢀁": [ - "ㄧ4" - ], - "𢀊": [ - "ㄒㄧ1" - ], - "𢀋": [ - "ㄙㄜ4" - ], - "𢀌": [ - "ㄐㄧㄠ3" - ], - "𢀍": [ - "ㄩㄥ1" - ], - "𢀕": [ - "ㄕ1" - ], - "𢀖": [ - "ㄐㄧㄥ1" - ], - "𢀗": [ - "ㄨㄢ4" - ], - "𢀘": [ - "ㄧㄝ3" - ], - "𢀙": [ - "ㄐㄧㄡ1" - ], - "𢀜": [ - "ㄍㄨㄥ3" - ], - "𢀡": [ - "ㄏㄨㄟ1", - "ㄗㄨㄛ3" - ], - "𢀪": [ - "ㄦ3" - ], - "𢀵": [ - "ㄏㄢ4" - ], - "𢀼": [ - "ㄈㄨ2" - ], - "𢁀": [ - "ㄈㄨ2" - ], - "𢁁": [ - "ㄓㄨㄛ2" - ], - "𢁂": [ - "ㄐㄧ1", - "ㄐㄧ4" - ], - "𢁏": [ - "ㄅㄤ1" - ], - "𢁒": [ - "ㄑㄧ2" - ], - "𢁓": [ - "ㄕ3", - "ㄏㄞ4" - ], - "𢁕": [ - "ㄉㄧㄠ3" - ], - "𢁖": [ - "ㄆㄟ4" - ], - "𢁗": [ - "ㄒㄧㄢ3", - "ㄍㄢ4" - ], - "𢁘": [ - "ㄙㄢ1" - ], - "𢁝": [ - "ㄔㄤ2" - ], - "𢁞": [ - "ㄩㄝ1" - ], - "𢁠": [ - "ㄍㄨㄥ1" - ], - "𢁢": [ - "ㄨ1" - ], - "𢁤": [ - "ㄈㄣ1" - ], - "𢁧": [ - "ㄔㄢ3" - ], - "𢁩": [ - "ㄋㄟ4" - ], - "𢁪": [ - "ㄐㄩㄝ2" - ], - "𢁬": [ - "ㄓㄠ3" - ], - "𢁮": [ - "ㄑㄧㄢ2" - ], - "𢁱": [ - "ㄠ3" - ], - "𢁶": [ - "ㄨㄤ3" - ], - "𢁷": [ - "ㄓㄨㄥ1" - ], - "𢁹": [ - "ㄏㄨㄤ1" - ], - "𢁻": [ - "ㄅㄨ4" - ], - "𢁼": [ - "ㄓㄨ3" - ], - "𢁽": [ - "ㄅㄧ4" - ], - "𢁾": [ - "ㄔㄠ1" - ], - "𢁿": [ - "ㄓㄥ1" - ], - "𢂀": [ - "ㄈㄨ2" - ], - "𢂁": [ - "ㄎㄡ1", - "ㄑㄩ2" - ], - "𢂃": [ - "ㄗㄨㄛ2" - ], - "𢂄": [ - "ㄒㄩㄢ4" - ], - "𢂆": [ - "ㄈㄨ4" - ], - "𢂊": [ - "ㄧㄠ3" - ], - "𢂍": [ - "ㄅㄛ1" - ], - "𢂏": [ - "ㄅㄟ4" - ], - "𢂐": [ - "ㄒㄧㄝ2" - ], - "𢂑": [ - "ㄕ4" - ], - "𢂒": [ - "ㄧ2" - ], - "𢂔": [ - "ㄏㄨㄥ2" - ], - "𢂕": [ - "ㄘㄨㄟ4" - ], - "𢂗": [ - "ㄧ4" - ], - "𢂘": [ - "ㄓㄨㄢ1" - ], - "𢂝": [ - "ㄔ4" - ], - "𢂤": [ - "ㄆㄛ1", - "ㄌㄨ4" - ], - "𢂨": [ - "ㄧㄣ2" - ], - "𢂱": [ - "ㄩㄢ4" - ], - "𢂶": [ - "ㄐㄩㄥ1" - ], - "𢂹": [ - "ㄇㄠ4" - ], - "𢂺": [ - "ㄑㄧㄢ4" - ], - "𢂼": [ - "ㄧ4" - ], - "𢃀": [ - "ㄨ2" - ], - "𢃍": [ - "ㄅㄟ1" - ], - "𢃎": [ - "ㄏㄨㄛ4" - ], - "𢃏": [ - "ㄘㄨㄥ2" - ], - "𢃐": [ - "ㄎㄨㄥ1" - ], - "𢃕": [ - "ㄊㄚ4" - ], - "𢃗": [ - "ㄏㄢ4" - ], - "𢃘": [ - "ㄑㄧㄢ4" - ], - "𢃜": [ - "ㄓ2" - ], - "𢃢": [ - "ㄙㄜ4" - ], - "𢃥": [ - "ㄑㄧㄢ1" - ], - "𢃦": [ - "ㄍㄨㄛ3" - ], - "𢃩": [ - "ㄍㄨㄣ3", - "ㄐㄩㄢ3" - ], - "𢃬": [ - "ㄐㄧㄢ1" - ], - "𢃭": [ - "ㄓㄨㄥ1" - ], - "𢃮": [ - "ㄇㄧㄢ3" - ], - "𢃯": [ - "ㄍㄨㄟ3" - ], - "𢃰": [ - "ㄕ4" - ], - "𢃱": [ - "ㄇㄡ2" - ], - "𢃲": [ - "ㄜ4" - ], - "𢃳": [ - "ㄅㄚ3" - ], - "𢃴": [ - "ㄌㄚ4" - ], - "𢃸": [ - "ㄓㄡ4" - ], - "𢃺": [ - "ㄐㄧ2" - ], - "𢄀": [ - "ㄗㄠ3" - ], - "𢄄": [ - "ㄓㄚ1" - ], - "𢄅": [ - "ㄧ4" - ], - "𢄇": [ - "ㄍㄡ3" - ], - "𢄊": [ - "ㄍㄨㄟ1" - ], - "𢄋": [ - "ㄧㄥ1" - ], - "𢄌": [ - "ㄕㄞ3" - ], - "𢄍": [ - "ㄏㄜ2", - "ㄍㄜ2" - ], - "𢄎": [ - "ㄅㄤ4" - ], - "𢄏": [ - "ㄇㄛ4" - ], - "𢄐": [ - "ㄇㄥ2" - ], - "𢄓": [ - "ㄨ4" - ], - "𢄔": [ - "ㄉㄞ4" - ], - "𢄗": [ - "ㄐㄩㄥ3" - ], - "𢄜": [ - "ㄏㄢ4" - ], - "𢄟": [ - "ㄊㄨㄥ1" - ], - "𢄠": [ - "ㄎㄡ1" - ], - "𢄡": [ - "ㄌㄧ2" - ], - "𢄢": [ - "ㄓ4" - ], - "𢄣": [ - "ㄏㄨㄟ4" - ], - "𢄤": [ - "ㄗㄢ3" - ], - "𢄦": [ - "ㄉㄧㄠ3" - ], - "𢄧": [ - "ㄘㄨ4" - ], - "𢄱": [ - "ㄓ4" - ], - "𢄳": [ - "ㄎㄨㄚ3" - ], - "𢄵": [ - "ㄒㄧㄤ4" - ], - "𢄶": [ - "ㄏㄨㄚ4" - ], - "𢄷": [ - "ㄌㄧㄠ2" - ], - "𢄸": [ - "ㄘㄨㄟ4" - ], - "𢄹": [ - "ㄑㄧㄠ1" - ], - "𢄺": [ - "ㄐㄧㄠ3" - ], - "𢄼": [ - "ㄒㄩ1" - ], - "𢄽": [ - "ㄦ4" - ], - "𢄿": [ - "ㄊㄨㄛ1" - ], - "𢅀": [ - "ㄊㄢ2" - ], - "𢅁": [ - "ㄓ4" - ], - "𢅈": [ - "ㄋㄠ3" - ], - "𢅉": [ - "ㄇㄠ4" - ], - "𢅊": [ - "ㄉㄧ4" - ], - "𢅋": [ - "ㄘㄥ2" - ], - "𢅎": [ - "ㄐㄧㄠ3" - ], - "𢅏": [ - "ㄌㄧㄢ2" - ], - "𢅑": [ - "ㄕㄚ1" - ], - "𢅒": [ - "ㄉㄢ4" - ], - "𢅕": [ - "ㄙㄨㄟ4" - ], - "𢅖": [ - "ㄌㄧㄢ2" - ], - "𢅗": [ - "ㄍㄨㄛ4" - ], - "𢅚": [ - "ㄅㄧㄠ3", - "ㄅㄧㄠ1" - ], - "𢅜": [ - "ㄘ4" - ], - "𢅝": [ - "ㄉㄧㄢ4" - ], - "𢅞": [ - "ㄌㄩ4" - ], - "𢅟": [ - "ㄋㄧ3" - ], - "𢅠": [ - "ㄧㄢ3" - ], - "𢅡": [ - "ㄌㄢ2" - ], - "𢅤": [ - "ㄍㄞ4" - ], - "𢅥": [ - "ㄔㄨ2" - ], - "𢅩": [ - "ㄅㄧ4" - ], - "𢅪": [ - "ㄗㄨ2" - ], - "𢅫": [ - "ㄏㄨㄟ4" - ], - "𢅭": [ - "ㄌㄞ3" - ], - "𢅮": [ - "ㄒㄧㄢ2" - ], - "𢅯": [ - "ㄈㄣ4" - ], - "𢅰": [ - "ㄏㄜ4" - ], - "𢅹": [ - "ㄧㄠ4" - ], - "𢅺": [ - "ㄓㄢ3" - ], - "𢅼": [ - "ㄋㄟ2" - ], - "𢅾": [ - "ㄌㄨㄛ3" - ], - "𢆀": [ - "ㄩㄢ2" - ], - "𢆂": [ - "ㄋㄥ2" - ], - "𢆉": [ - "ㄖㄣ3" - ], - "𢆜": [ - "ㄍㄜ2" - ], - "𢆞": [ - "ㄐㄧㄢ3" - ], - "𢆟": [ - "ㄆㄧㄥ2" - ], - "𢆣": [ - "ㄅㄧㄝ4" - ], - "𢆦": [ - "ㄐㄧㄢ4" - ], - "𢆩": [ - "ㄅㄧㄥ4" - ], - "𢆯": [ - "ㄇㄧ4", - "ㄒㄩㄢ2" - ], - "𢆰": [ - "ㄏㄨ4" - ], - "𢆴": [ - "ㄉㄧㄠ3" - ], - "𢆶": [ - "ㄧㄡ1", - "ㄗ1" - ], - "𢆷": [ - "ㄧㄠ1", - "ㄇㄧㄠ4" - ], - "𢆸": [ - "ㄅㄥ1" - ], - "𢆺": [ - "ㄔㄣ2" - ], - "𢆻": [ - "ㄐㄧ1", - "ㄉㄨㄟ4" - ], - "𢆽": [ - "ㄧㄠ1" - ], - "𢇇": [ - "ㄍㄨㄢ1" - ], - "𢇈": [ - "ㄧㄢ4" - ], - "𢇕": [ - "ㄔ3" - ], - "𢇗": [ - "ㄕㄚ4" - ], - "𢇘": [ - "ㄧㄢ3" - ], - "𢇙": [ - "ㄧ4" - ], - "𢇚": [ - "ㄧ4" - ], - "𢇛": [ - "ㄔㄜ4", - "ㄔ3" - ], - "𢇞": [ - "ㄏㄢ4" - ], - "𢇟": [ - "ㄏㄨㄤ1" - ], - "𢇤": [ - "ㄕㄨㄟ4" - ], - "𢇥": [ - "ㄙㄨㄟ4" - ], - "𢇦": [ - "ㄖㄣ2" - ], - "𢇧": [ - "ㄊㄢ2" - ], - "𢇨": [ - "ㄓ3" - ], - "𢇪": [ - "ㄈㄢ4" - ], - "𢇫": [ - "ㄈㄥ3" - ], - "𢇰": [ - "ㄊㄢ2" - ], - "𢇲": [ - "ㄇㄧ2" - ], - "𢇳": [ - "ㄆㄧ2" - ], - "𢇴": [ - "ㄅㄨ4" - ], - "𢇵": [ - "ㄋㄚ4" - ], - "𢇶": [ - "ㄊㄧㄢ2" - ], - "𢇷": [ - "ㄅㄚ2" - ], - "𢇸": [ - "ㄧ4" - ], - "𢈂": [ - "ㄧㄢ3" - ], - "𢈄": [ - "ㄊㄧㄠ1" - ], - "𢈆": [ - "ㄧㄠ2" - ], - "𢈇": [ - "ㄕㄣ3" - ], - "𢈈": [ - "ㄎㄜ1", - "ㄨㄚ1" - ], - "𢈉": [ - "ㄊㄨㄥ2" - ], - "𢈋": [ - "ㄒㄩㄢ3" - ], - "𢈓": [ - "ㄧㄡ4" - ], - "𢈕": [ - "ㄅㄞ4" - ], - "𢈙": [ - "ㄒㄧㄚ2" - ], - "𢈚": [ - "ㄌㄩ3" - ], - "𢈛": [ - "ㄎㄨㄣ4" - ], - "𢈜": [ - "ㄗㄤ1" - ], - "𢈝": [ - "ㄑㄧㄡ2" - ], - "𢈠": [ - "ㄘㄨ4", - "ㄌㄚ4" - ], - "𢈡": [ - "ㄗㄨㄟ1" - ], - "𢈢": [ - "ㄌㄡ3" - ], - "𢈤": [ - "ㄒㄧㄚ2" - ], - "𢈯": [ - "ㄕㄣ1" - ], - "𢈲": [ - "ㄆㄨ2" - ], - "𢈴": [ - "ㄐㄧㄥ1" - ], - "𢈵": [ - "ㄑㄧㄤ1" - ], - "𢈶": [ - "ㄧ4", - "ㄙ1" - ], - "𢈸": [ - "ㄋㄧㄝ4" - ], - "𢈹": [ - "ㄉㄨㄟ1", - "ㄊㄨㄟ2" - ], - "𢈻": [ - "ㄐㄧㄝ2" - ], - "𢈼": [ - "ㄙㄨㄟ4" - ], - "𢈽": [ - "ㄓㄢ4" - ], - "𢈾": [ - "ㄘㄡ1" - ], - "𢉁": [ - "ㄅㄥ1" - ], - "𢉂": [ - "ㄍㄨㄢ1" - ], - "𢉃": [ - "ㄕㄜ3" - ], - "𢉅": [ - "ㄐㄧㄣ4" - ], - "𢉆": [ - "ㄉㄧ4" - ], - "𢉑": [ - "ㄉㄢ1" - ], - "𢉓": [ - "ㄋㄞ3" - ], - "𢉕": [ - "ㄋㄡ2" - ], - "𢉗": [ - "ㄐㄧ2" - ], - "𢉘": [ - "ㄧㄢ2" - ], - "𢉚": [ - "ㄋㄡ4" - ], - "𢉜": [ - "ㄉㄨ4", - "ㄊㄨ2" - ], - "𢉝": [ - "ㄨㄟ4" - ], - "𢉞": [ - "ㄆㄧㄢ1" - ], - "𢉢": [ - "ㄏㄨ2" - ], - "𢉤": [ - "ㄐㄧㄚ4" - ], - "𢉥": [ - "ㄧㄝ4" - ], - "𢉦": [ - "ㄐㄩㄣ3" - ], - "𢉧": [ - "ㄌㄢ2", - "ㄌㄧㄢ2" - ], - "𢉨": [ - "ㄌㄚ4" - ], - "𢉩": [ - "ㄧㄣ1" - ], - "𢉭": [ - "ㄊㄨㄟ2" - ], - "𢉵": [ - "ㄋㄠ3" - ], - "𢉺": [ - "ㄗㄨ3" - ], - "𢉿": [ - "ㄇㄚ4" - ], - "𢊀": [ - "ㄙ1", - "ㄇㄚ4" - ], - "𢊁": [ - "ㄓ4" - ], - "𢊄": [ - "ㄏㄨㄟ1" - ], - "𢊅": [ - "ㄓㄨㄟ4" - ], - "𢊇": [ - "ㄏㄨㄟ4" - ], - "𢊍": [ - "ㄔㄨ2" - ], - "𢊏": [ - "ㄔㄜ4" - ], - "𢊒": [ - "ㄒㄧㄡ1" - ], - "𢊓": [ - "ㄌㄢ2" - ], - "𢊕": [ - "ㄘㄨㄥ1" - ], - "𢊖": [ - "ㄕㄣ4" - ], - "𢊗": [ - "ㄇㄛ4" - ], - "𢊘": [ - "ㄧ1" - ], - "𢊙": [ - "ㄧㄠ2" - ], - "𢊚": [ - "ㄒㄧ3" - ], - "𢊛": [ - "ㄗㄨㄟ3" - ], - "𢊜": [ - "ㄅㄧㄥ4" - ], - "𢊧": [ - "ㄩ2" - ], - "𢊩": [ - "ㄌㄨ4" - ], - "𢊮": [ - "ㄊㄨㄟ2" - ], - "𢊯": [ - "ㄨㄟ3" - ], - "𢊱": [ - "ㄈㄣ2" - ], - "𢊲": [ - "ㄕㄣ3" - ], - "𢊻": [ - "ㄌㄧㄠ2" - ], - "𢋂": [ - "ㄕㄨ3" - ], - "𢋃": [ - "ㄉㄢ3" - ], - "𢋄": [ - "ㄐㄩㄢ3" - ], - "𢋅": [ - "ㄩ2" - ], - "𢋆": [ - "ㄒㄧㄣ4" - ], - "𢋇": [ - "ㄧㄠ2" - ], - "𢋈": [ - "ㄙㄨ1" - ], - "𢋒": [ - "ㄏㄨㄛ2" - ], - "𢋔": [ - "ㄑㄧㄢ1" - ], - "𢋚": [ - "ㄇㄚ2" - ], - "𢋝": [ - "ㄎㄞ3" - ], - "𢋡": [ - "ㄌㄨ3" - ], - "𢋣": [ - "ㄧㄡ1" - ], - "𢋮": [ - "ㄒㄧㄢ4" - ], - "𢋹": [ - "ㄨ2" - ], - "𢋻": [ - "ㄧㄣ3" - ], - "𢋼": [ - "ㄒㄧ1" - ], - "𢋿": [ - "ㄓㄞ1" - ], - "𢌀": [ - "ㄒㄧㄝ4" - ], - "𢌄": [ - "ㄑㄩ2" - ], - "𢌈": [ - "ㄌㄧ2" - ], - "𢌍": [ - "ㄑㄧㄢ1" - ], - "𢌔": [ - "ㄌㄧㄥ2" - ], - "𢌕": [ - "ㄌㄨㄢ2" - ], - "𢌚": [ - "ㄔㄢ1" - ], - "𢌦": [ - "ㄓㄥ4" - ], - "𢌨": [ - "ㄧㄢ2" - ], - "𢌲": [ - "ㄧㄣ4" - ], - "𢌳": [ - "ㄎㄨㄟ2" - ], - "𢌷": [ - "ㄑㄩ1" - ], - "𢌹": [ - "ㄈㄨ2" - ], - "𢌻": [ - "ㄩ4" - ], - "𢍁": [ - "ㄑㄧ2", - "ㄅㄧ4" - ], - "𢍆": [ - "ㄑㄧ4", - "ㄑㄧㄝ4" - ], - "𢍇": [ - "ㄐㄧ4" - ], - "𢍈": [ - "ㄩㄢ1", - "ㄗㄤ4" - ], - "𢍎": [ - "ㄍㄠ4" - ], - "𢍏": [ - "ㄐㄩㄢ4" - ], - "𢍑": [ - "ㄑㄧ2" - ], - "𢍓": [ - "ㄍㄞ3" - ], - "𢍕": [ - "ㄑㄩㄢ4" - ], - "𢍚": [ - "ㄨㄟ4" - ], - "𢍧": [ - "ㄓ4" - ], - "𢍫": [ - "ㄐㄧㄢ3" - ], - "𢍭": [ - "ㄙ4" - ], - "𢍰": [ - "ㄧ4", - "ㄗㄜ2" - ], - "𢍱": [ - "ㄑㄧㄢ1" - ], - "𢍼": [ - "ㄌㄧ4" - ], - "𢍿": [ - "ㄗㄤ1" - ], - "𢎀": [ - "ㄧ4" - ], - "𢎂": [ - "ㄘㄞ2" - ], - "𢎃": [ - "ㄧ4" - ], - "𢎄": [ - "ㄍㄜ1" - ], - "𢎆": [ - "ㄉㄧㄝ2" - ], - "𢎈": [ - "ㄓ1" - ], - "𢎉": [ - "ㄧ4" - ], - "𢎋": [ - "ㄗㄞ1" - ], - "𢎌": [ - "ㄉㄞ4" - ], - "𢎎": [ - "ㄙㄨ4" - ], - "𢎔": [ - "ㄐㄧㄝ2" - ], - "𢎕": [ - "ㄔㄣ4" - ], - "𢎖": [ - "ㄑㄩ2" - ], - "𢎘": [ - "ㄏㄢ4" - ], - "𢎙": [ - "ㄒㄧㄢ2" - ], - "𢎠": [ - "ㄑㄩㄢ2", - "ㄐㄩㄢ4" - ], - "𢎡": [ - "ㄐㄧㄝ2" - ], - "𢎥": [ - "ㄐㄩㄢ4" - ], - "𢎪": [ - "ㄉㄢ4" - ], - "𢎭": [ - "ㄐㄧㄣ1" - ], - "𢎴": [ - "ㄅㄧㄥ1" - ], - "𢎵": [ - "ㄏㄨ2" - ], - "𢎹": [ - "ㄐㄩㄝ2" - ], - "𢎻": [ - "ㄩ2" - ], - "𢏃": [ - "ㄌㄧ3" - ], - "𢏄": [ - "ㄑㄧㄤ2" - ], - "𢏅": [ - "ㄕㄨㄟ3" - ], - "𢏆": [ - "ㄎㄨ1" - ], - "𢏈": [ - "ㄓㄣ3" - ], - "𢏍": [ - "ㄈㄨ2" - ], - "𢏎": [ - "ㄕㄣ1" - ], - "𢏒": [ - "ㄔㄨㄟ2" - ], - "𢏕": [ - "ㄊㄨㄥ2" - ], - "𢏗": [ - "ㄧ4" - ], - "𢏙": [ - "ㄧㄤ2" - ], - "𢏜": [ - "ㄊㄨㄛ2" - ], - "𢏝": [ - "ㄓㄡ1" - ], - "𢏞": [ - "ㄐㄧ2" - ], - "𢏤": [ - "ㄒㄩㄣ4" - ], - "𢏦": [ - "ㄕㄣ3" - ], - "𢏧": [ - "ㄒㄩㄢ1" - ], - "𢏭": [ - "ㄌㄧㄡ2" - ], - "𢏮": [ - "ㄩㄢ1" - ], - "𢏯": [ - "ㄏㄨ2", - "ㄕ3" - ], - "𢏰": [ - "ㄓㄥ4" - ], - "𢏳": [ - "ㄆㄥ1", - "ㄅㄥ1" - ], - "𢏷": [ - "ㄐㄩㄝ2" - ], - "𢐂": [ - "ㄓ4" - ], - "𢐃": [ - "ㄆㄧㄢ1" - ], - "𢐄": [ - "ㄩㄢ4" - ], - "𢐆": [ - "ㄐㄧㄢ1" - ], - "𢐊": [ - "ㄆㄤ2" - ], - "𢐎": [ - "ㄓㄨㄢ4" - ], - "𢐐": [ - "ㄒㄧㄢ2" - ], - "𢐒": [ - "ㄅㄥ1" - ], - "𢐔": [ - "ㄘㄨㄥ1" - ], - "𢐖": [ - "ㄇㄛ4" - ], - "𢐚": [ - "ㄍㄨㄛ2" - ], - "𢐞": [ - "ㄔㄥ2" - ], - "𢐟": [ - "ㄑㄧㄠ1" - ], - "𢐦": [ - "ㄅㄧ4" - ], - "𢐩": [ - "ㄑㄧㄤ3" - ], - "𢐫": [ - "ㄓㄡ1" - ], - "𢐲": [ - "ㄈㄢ2" - ], - "𢐳": [ - "ㄅㄧㄝ1" - ], - "𢐾": [ - "ㄅㄛ2" - ], - "𢐿": [ - "ㄖㄤ3", - "ㄖㄨㄥ3" - ], - "𢑅": [ - "ㄉㄧㄥ3" - ], - "𢑆": [ - "ㄑㄩㄢ2" - ], - "𢑇": [ - "ㄐㄧㄡ4" - ], - "𢑈": [ - "ㄧㄠ2" - ], - "𢑓": [ - "ㄒㄧㄚ2" - ], - "𢑖": [ - "ㄗㄠ3" - ], - "𢑝": [ - "ㄉㄢ1" - ], - "𢑟": [ - "ㄨ3" - ], - "𢑠": [ - "ㄊㄨㄛ2" - ], - "𢑢": [ - "ㄏㄨ1" - ], - "𢑧": [ - "ㄒㄧ1" - ], - "𢑬": [ - "ㄌㄞ2" - ], - "𢑮": [ - "ㄈㄟ1" - ], - "𢑹": [ - "ㄏㄨ2" - ], - "𢒆": [ - "ㄒㄧㄢ1" - ], - "𢒉": [ - "ㄕㄢ3" - ], - "𢒍": [ - "ㄈㄟ4" - ], - "𢒐": [ - "ㄘㄨㄛ4" - ], - "𢒒": [ - "ㄈㄨ2" - ], - "𢒔": [ - "ㄔㄨ4" - ], - "𢒝": [ - "ㄉㄧㄡ1" - ], - "𢒞": [ - "ㄌㄢ4" - ], - "𢒩": [ - "ㄒㄧ3" - ], - "𢒯": [ - "ㄅㄧㄠ1" - ], - "𢒰": [ - "ㄩ4" - ], - "𢒱": [ - "ㄙㄨㄟ4" - ], - "𢒲": [ - "ㄒㄧ3" - ], - "𢒷": [ - "ㄆㄡ2" - ], - "𢒹": [ - "ㄕㄢ3" - ], - "𢒾": [ - "ㄐㄧㄠ4" - ], - "𢓀": [ - "ㄧ4" - ], - "𢓃": [ - "ㄨㄢ2" - ], - "𢓄": [ - "ㄐㄧ3" - ], - "𢓆": [ - "ㄨㄢ2" - ], - "𢓇": [ - "ㄊㄨㄟ4", - "ㄋㄚ4" - ], - "𢓋": [ - "ㄤ4" - ], - "𢓍": [ - "ㄊㄧㄢ1" - ], - "𢓎": [ - "ㄔ2" - ], - "𢓒": [ - "ㄖㄢ2" - ], - "𢓔": [ - "ㄙㄚ4" - ], - "𢓕": [ - "ㄧㄣ2" - ], - "𢓖": [ - "ㄆㄧ1" - ], - "𢓗": [ - "ㄘ3" - ], - "𢓘": [ - "ㄊㄨㄥ2", - "ㄊㄠ1" - ], - "𢓙": [ - "ㄧㄣ3" - ], - "𢓜": [ - "ㄍㄜ2" - ], - "𢓝": [ - "ㄊㄧㄠ1" - ], - "𢓞": [ - "ㄓㄥ1" - ], - "𢓟": [ - "ㄓㄡ4" - ], - "𢓡": [ - "ㄧ2", - "ㄊㄧ2" - ], - "𢓢": [ - "ㄎㄨㄚ4" - ], - "𢓣": [ - "ㄙㄨㄥ1" - ], - "𢓧": [ - "ㄉㄧ4" - ], - "𢓬": [ - "ㄒㄧㄝ2" - ], - "𢓮": [ - "ㄒㄧㄠ1" - ], - "𢓯": [ - "ㄍㄨㄤ4", - "ㄨㄤ3" - ], - "𢓰": [ - "ㄊㄨㄛ3" - ], - "𢓱": [ - "ㄈㄥ1", - "ㄈㄥ4" - ], - "𢓲": [ - "ㄨ2", - "ㄏㄨ2" - ], - "𢓵": [ - "ㄒㄧㄡ4" - ], - "𢓿": [ - "ㄧㄡ2" - ], - "𢔁": [ - "ㄌㄧㄥ2" - ], - "𢔂": [ - "ㄧㄢ4" - ], - "𢔅": [ - "ㄉㄨㄥ1" - ], - "𢔆": [ - "ㄑㄧ4" - ], - "𢔇": [ - "ㄊㄠ2" - ], - "𢔈": [ - "ㄏㄢ2" - ], - "𢔊": [ - "ㄔ2" - ], - "𢔋": [ - "ㄙㄨㄥ1" - ], - "𢔑": [ - "ㄑㄩㄢ3" - ], - "𢔔": [ - "ㄏㄢ4", - "ㄐㄧ2" - ], - "𢔟": [ - "ㄖㄡ3", - "ㄋㄧㄡ3" - ], - "𢔠": [ - "ㄑㄧ4" - ], - "𢔡": [ - "ㄎㄞ1" - ], - "𢔢": [ - "ㄩ2" - ], - "𢔣": [ - "ㄔㄚ1", - "ㄕㄚ4" - ], - "𢔤": [ - "ㄔㄥ4" - ], - "𢔥": [ - "ㄩ4" - ], - "𢔧": [ - "ㄅㄧㄥ4" - ], - "𢔩": [ - "ㄘㄨㄥ1", - "ㄙㄨㄥ3" - ], - "𢔪": [ - "ㄓㄨ1" - ], - "𢔬": [ - "ㄩ4" - ], - "𢔱": [ - "ㄐㄩㄝ2", - "ㄑㄩㄝ4" - ], - "𢔲": [ - "ㄌㄧㄡ4" - ], - "𢔳": [ - "ㄙㄠ1" - ], - "𢔴": [ - "ㄩ4" - ], - "𢕅": [ - "ㄕㄨㄞ4" - ], - "𢕋": [ - "ㄩㄢ4" - ], - "𢕎": [ - "ㄓㄤ1" - ], - "𢕑": [ - "ㄕㄨㄞ4" - ], - "𢕓": [ - "ㄔㄨ3" - ], - "𢕔": [ - "ㄓㄤ1", - "ㄓㄤ4" - ], - "𢕕": [ - "ㄙㄢ3", - "ㄙㄢ4" - ], - "𢕖": [ - "ㄒㄧㄢ1" - ], - "𢕘": [ - "ㄘㄨㄟ1" - ], - "𢕙": [ - "ㄇㄥ3" - ], - "𢕚": [ - "ㄉㄧ2" - ], - "𢕞": [ - "ㄓ4" - ], - "𢕟": [ - "ㄠ4" - ], - "𢕦": [ - "ㄒㄧㄡ1" - ], - "𢕨": [ - "ㄆㄧㄢ2" - ], - "𢕪": [ - "ㄐㄧㄠ4" - ], - "𢕫": [ - "ㄎㄨㄢ3" - ], - "𢕬": [ - "ㄙㄚ4" - ], - "𢕭": [ - "ㄒㄧㄢ4" - ], - "𢕮": [ - "ㄓㄚ4" - ], - "𢕯": [ - "ㄉㄧㄢ4" - ], - "𢕷": [ - "ㄧ2" - ], - "𢕺": [ - "ㄏㄨㄟ4" - ], - "𢕻": [ - "ㄕㄢ4" - ], - "𢖄": [ - "ㄔㄨㄥ2" - ], - "𢖅": [ - "ㄧ2" - ], - "𢖆": [ - "ㄒㄧㄝ4" - ], - "𢖇": [ - "ㄓ4" - ], - "𢖈": [ - "ㄊㄧㄠ4" - ], - "𢖊": [ - "ㄆㄧㄥ1" - ], - "𢖋": [ - "ㄒㄧㄢ2" - ], - "𢖎": [ - "ㄒㄧㄢ1" - ], - "𢖏": [ - "ㄙㄨ4" - ], - "𢖑": [ - "ㄘㄨㄢ2" - ], - "𢖗": [ - "ㄙㄨㄥ3" - ], - "𢖛": [ - "ㄏㄟ1" - ], - "𢖝": [ - "ㄒㄧㄢ4" - ], - "𢖟": [ - "ㄧㄡ2" - ], - "𢖡": [ - "ㄩ4" - ], - "𢖤": [ - "ㄊㄞ2" - ], - "𢖦": [ - "ㄐㄩㄝ2" - ], - "𢖧": [ - "ㄋㄤ4" - ], - "𢖩": [ - "ㄉㄧㄢ1" - ], - "𢖫": [ - "ㄧ4" - ], - "𢖬": [ - "ㄅㄧ4" - ], - "𢖳": [ - "ㄒㄩ1" - ], - "𢖴": [ - "ㄧ4" - ], - "𢖵": [ - "ㄖㄨ4" - ], - "𢖷": [ - "ㄍㄨㄥ1" - ], - "𢖺": [ - "ㄧ4" - ], - "𢖿": [ - "ㄓ4" - ], - "𢗀": [ - "ㄒㄧㄣ1" - ], - "𢗂": [ - "ㄐㄧ4" - ], - "𢗄": [ - "ㄒㄧㄚ4" - ], - "𢗈": [ - "ㄓㄠ1" - ], - "𢗉": [ - "ㄋㄜ4" - ], - "𢗊": [ - "ㄒㄧㄝ4", - "ㄐㄧㄚ2" - ], - "𢗎": [ - "ㄧ4" - ], - "𢗫": [ - "ㄈㄨ3" - ], - "𢗭": [ - "ㄕㄜ4" - ], - "𢗯": [ - "ㄩㄢ2" - ], - "𢗰": [ - "ㄈㄢ3" - ], - "𢗲": [ - "ㄈㄨ1" - ], - "𢗳": [ - "ㄨ4" - ], - "𢗴": [ - "ㄒㄧ1" - ], - "𢗵": [ - "ㄏㄨㄥ3" - ], - "𢗹": [ - "ㄐㄧ4" - ], - "𢗺": [ - "ㄔㄤ4" - ], - "𢗿": [ - "ㄇㄛ4" - ], - "𢘀": [ - "ㄆㄟ4" - ], - "𢘃": [ - "ㄇㄨ2", - "ㄨ3" - ], - "𢘄": [ - "ㄑㄧㄡ2" - ], - "𢘅": [ - "ㄇㄠ4", - "ㄖㄡ2" - ], - "𢘇": [ - "ㄉㄚ2", - "ㄉㄢ4" - ], - "𢘉": [ - "ㄒㄧㄚ2" - ], - "𢘊": [ - "ㄕㄣ1" - ], - "𢘋": [ - "ㄊㄜ4" - ], - "𢘌": [ - "ㄏㄨㄥ2" - ], - "𢘍": [ - "ㄅㄧ4", - "ㄈㄨ2" - ], - "𢘝": [ - "ㄋㄧ3" - ], - "𢘟": [ - "ㄑㄧㄠ2" - ], - "𢘧": [ - "ㄖㄨㄢ3" - ], - "𢘸": [ - "ㄐㄧㄤ4" - ], - "𢘹": [ - "ㄔㄚ1" - ], - "𢘺": [ - "ㄇㄧ3", - "ㄇㄧ2" - ], - "𢘽": [ - "ㄧ4" - ], - "𢘿": [ - "ㄙㄨㄛ1" - ], - "𢙁": [ - "ㄨ4" - ], - "𢙂": [ - "ㄒㄩㄢ1" - ], - "𢙅": [ - "ㄒㄧ2" - ], - "𢙇": [ - "ㄧ3" - ], - "𢙐": [ - "ㄋㄠ2" - ], - "𢙓": [ - "ㄨㄟ4" - ], - "𢙮": [ - "ㄎㄢ4" - ], - "𢙱": [ - "ㄌㄨㄥ4" - ], - "𢙲": [ - "ㄌㄩ3" - ], - "𢙳": [ - "ㄓㄨㄤ3" - ], - "𢙺": [ - "ㄓ4" - ], - "𢙼": [ - "ㄒㄧㄥ4" - ], - "𢙾": [ - "ㄍㄥ3" - ], - "𢙿": [ - "ㄐㄧㄣ4" - ], - "𢚀": [ - "ㄒㄧㄢ4" - ], - "𢚁": [ - "ㄐㄧ4" - ], - "𢚂": [ - "ㄘㄨㄛ4" - ], - "𢚄": [ - "ㄌㄠ2" - ], - "𢚅": [ - "ㄈㄣ3" - ], - "𢚆": [ - "ㄐㄩ4" - ], - "𢚋": [ - "ㄇㄧㄠ4" - ], - "𢚌": [ - "ㄒㄧㄚ2" - ], - "𢚑": [ - "ㄙㄨ4" - ], - "𢚨": [ - "ㄓ4" - ], - "𢚪": [ - "ㄏㄨ4" - ], - "𢚫": [ - "ㄎㄡ4" - ], - "𢚭": [ - "ㄙㄨㄛ3" - ], - "𢚮": [ - "ㄋㄧ4" - ], - "𢚺": [ - "ㄊㄥ1" - ], - "𢚻": [ - "ㄓㄨ4" - ], - "𢛁": [ - "ㄉㄚ2", - "ㄔㄜ4" - ], - "𢛃": [ - "ㄑㄧㄡ2" - ], - "𢛄": [ - "ㄧㄚ4" - ], - "𢛆": [ - "ㄒㄧㄢ2" - ], - "𢛉": [ - "ㄋㄟ4" - ], - "𢛍": [ - "ㄓ3" - ], - "𢛎": [ - "ㄅㄧㄝ2" - ], - "𢛒": [ - "ㄔㄨㄥ3" - ], - "𢛓": [ - "ㄌㄢ2" - ], - "𢛔": [ - "ㄉㄨㄥ1" - ], - "𢛕": [ - "ㄑㄩㄣ1" - ], - "𢛖": [ - "ㄒㄧㄤ4" - ], - "𢛘": [ - "ㄒㄧㄠ2" - ], - "𢛙": [ - "ㄨㄢ3" - ], - "𢛚": [ - "ㄖㄨ4" - ], - "𢛛": [ - "ㄨㄤ4" - ], - "𢛜": [ - "ㄋㄧ4" - ], - "𢛞": [ - "ㄅㄞ1" - ], - "𢛟": [ - "ㄧㄚ4" - ], - "𢛥": [ - "ㄙ1" - ], - "𢛦": [ - "ㄧㄣ3" - ], - "𢛨": [ - "ㄩ4" - ], - "𢛮": [ - "ㄌㄧ2" - ], - "𢛯": [ - "ㄏㄨㄛ4" - ], - "𢜗": [ - "ㄅㄤ4" - ], - "𢜣": [ - "ㄒㄧ1" - ], - "𢜥": [ - "ㄐㄧㄡ1" - ], - "𢜨": [ - "ㄒㄧㄝ4", - "ㄉㄧㄝ2" - ], - "𢜩": [ - "ㄑㄧㄢ1" - ], - "𢜪": [ - "ㄋㄨㄛ4", - "ㄖㄨㄛ4" - ], - "𢜫": [ - "ㄒㄧㄥ3" - ], - "𢜬": [ - "ㄉㄨㄛ2" - ], - "𢜭": [ - "ㄐㄧ3" - ], - "𢜮": [ - "ㄨ3" - ], - "𢜯": [ - "ㄇㄨ2", - "ㄇㄡ2", - "ㄇㄨ3" - ], - "𢜰": [ - "ㄧㄢ4", - "ㄧㄢ3" - ], - "𢜱": [ - "ㄑㄧ4" - ], - "𢜲": [ - "ㄋㄚ2" - ], - "𢜳": [ - "ㄔ4" - ], - "𢜴": [ - "ㄏㄡ2" - ], - "𢜶": [ - "ㄙㄠ4" - ], - "𢜸": [ - "ㄋㄠ2" - ], - "𢜻": [ - "ㄔㄥ3" - ], - "𢜼": [ - "ㄔㄥ3" - ], - "𢜽": [ - "ㄎㄨㄟ2", - "ㄎㄨㄟ3" - ], - "𢜿": [ - "ㄐㄧㄚ4" - ], - "𢝀": [ - "ㄊㄨ2" - ], - "𢝁": [ - "ㄏㄨㄥ1" - ], - "𢝂": [ - "ㄉㄨ2" - ], - "𢝅": [ - "ㄒㄧㄚ2" - ], - "𢝆": [ - "ㄓㄨㄥ4" - ], - "𢝇": [ - "ㄏㄨㄛ4" - ], - "𢝈": [ - "ㄔㄨㄥ2" - ], - "𢝉": [ - "ㄉㄚ2" - ], - "𢝌": [ - "ㄇㄠ4" - ], - "𢝍": [ - "ㄧㄠ4" - ], - "𢝓": [ - "ㄐㄩㄢ1" - ], - "𢝬": [ - "ㄕ4" - ], - "𢝯": [ - "ㄧㄣ2" - ], - "𢝳": [ - "ㄍㄨ3" - ], - "𢝴": [ - "ㄨ4" - ], - "𢝸": [ - "ㄍㄨㄛ4" - ], - "𢝹": [ - "ㄊㄧ4" - ], - "𢝻": [ - "ㄏㄨㄥ1" - ], - "𢞇": [ - "ㄖㄜ3" - ], - "𢞉": [ - "ㄧ2" - ], - "𢞋": [ - "ㄊㄨㄣ3" - ], - "𢞏": [ - "ㄑㄩㄥ2" - ], - "𢞐": [ - "ㄏㄞ4" - ], - "𢞒": [ - "ㄑㄧ4" - ], - "𢞕": [ - "ㄏㄨㄛ4" - ], - "𢞖": [ - "ㄊㄧ4" - ], - "𢞗": [ - "ㄆㄧ1", - "ㄅㄧ1" - ], - "𢞚": [ - "ㄍㄥ3" - ], - "𢞜": [ - "ㄒㄧㄝ4" - ], - "𢞞": [ - "ㄇㄧ4", - "ㄇㄧ2" - ], - "𢞟": [ - "ㄍㄠ4" - ], - "𢞠": [ - "ㄊㄚ1" - ], - "𢞡": [ - "ㄒㄧㄤ3" - ], - "𢞣": [ - "ㄕㄨ1" - ], - "𢞦": [ - "ㄈㄨ2" - ], - "𢞬": [ - "ㄓㄨㄢ1" - ], - "𢞭": [ - "ㄌㄧㄡ4" - ], - "𢟅": [ - "ㄧㄡ2" - ], - "𢟊": [ - "ㄔㄥ3" - ], - "𢟋": [ - "ㄉㄨㄟ1" - ], - "𢟢": [ - "ㄌㄧ2" - ], - "𢟣": [ - "ㄧㄤ4" - ], - "𢟤": [ - "ㄌㄧ2" - ], - "𢟧": [ - "ㄌㄨ3" - ], - "𢟨": [ - "ㄇㄨ3" - ], - "𢟩": [ - "ㄙㄨㄟ4" - ], - "𢟪": [ - "ㄞ4", - "ㄒㄧ4" - ], - "𢟭": [ - "ㄎㄡ4" - ], - "𢟯": [ - "ㄓㄜ2", - "ㄕ4" - ], - "𢟰": [ - "ㄞ4" - ], - "𢟱": [ - "ㄊㄥ2" - ], - "𢟳": [ - "ㄌㄩ4" - ], - "𢟴": [ - "ㄊㄨㄟ2" - ], - "𢟵": [ - "ㄅㄧ1" - ], - "𢟾": [ - "ㄏㄨㄟ4" - ], - "𢟿": [ - "ㄏㄨㄢ2" - ], - "𢠛": [ - "ㄎㄨㄛ4" - ], - "𢠝": [ - "ㄒㄧㄣ1" - ], - "𢠡": [ - "ㄙㄠ4" - ], - "𢠫": [ - "ㄕㄨ4" - ], - "𢠬": [ - "ㄑㄩㄝ4" - ], - "𢠭": [ - "ㄅㄚ1" - ], - "𢠮": [ - "ㄊㄨㄟ4" - ], - "𢠲": [ - "ㄈㄨ4" - ], - "𢠳": [ - "ㄅㄧㄝ1" - ], - "𢠵": [ - "ㄊㄤ3" - ], - "𢠷": [ - "ㄒㄧㄤ4" - ], - "𢠹": [ - "ㄙ1", - "ㄒㄧ1" - ], - "𢠺": [ - "ㄅㄛ2" - ], - "𢠼": [ - "ㄇㄞ2" - ], - "𢠽": [ - "ㄉㄤ4" - ], - "𢠿": [ - "ㄍㄨㄟ4" - ], - "𢡀": [ - "ㄏㄟ1" - ], - "𢡁": [ - "ㄒㄧ1" - ], - "𢡂": [ - "ㄉㄤ4" - ], - "𢡃": [ - "ㄧ4" - ], - "𢡅": [ - "ㄅㄧ1" - ], - "𢡇": [ - "ㄍㄨ1" - ], - "𢡈": [ - "ㄘㄨㄟ4" - ], - "𢡉": [ - "ㄙㄜ4" - ], - "𢡍": [ - "ㄍㄜ2" - ], - "𢡎": [ - "ㄩ4" - ], - "𢡏": [ - "ㄋㄚ3" - ], - "𢡑": [ - "ㄌㄧ4" - ], - "𢡒": [ - "ㄓ4" - ], - "𢡰": [ - "ㄓㄠ4" - ], - "𢡴": [ - "ㄐㄧ1" - ], - "𢡵": [ - "ㄖㄨㄢ3" - ], - "𢡹": [ - "ㄔㄨㄥ4" - ], - "𢢂": [ - "ㄐㄧㄝ2" - ], - "𢢌": [ - "ㄔㄤ4" - ], - "𢢍": [ - "ㄓㄜ2" - ], - "𢢒": [ - "ㄙㄨ1", - "ㄙㄨ4" - ], - "𢢓": [ - "ㄩㄥ1" - ], - "𢢖": [ - "ㄑㄧ4" - ], - "𢢗": [ - "ㄓㄨㄛ2" - ], - "𢢚": [ - "ㄎㄞ4" - ], - "𢢜": [ - "ㄧㄝ4" - ], - "𢢞": [ - "ㄑㄧ4", - "ㄐㄧ4", - "ㄎㄨㄞ4" - ], - "𢢹": [ - "ㄒㄩㄥ4" - ], - "𢣉": [ - "ㄧ1" - ], - "𢣊": [ - "ㄔㄡ3" - ], - "𢣎": [ - "ㄊㄨㄢ3" - ], - "𢣏": [ - "ㄞ4" - ], - "𢣐": [ - "ㄆㄧㄣ1" - ], - "𢣓": [ - "ㄌㄧㄝ4" - ], - "𢣔": [ - "ㄇㄧㄢ2" - ], - "𢣕": [ - "ㄞ4", - "ㄔ1" - ], - "𢣗": [ - "ㄇㄛ3" - ], - "𢣘": [ - "ㄨㄟ4" - ], - "𢣙": [ - "ㄧㄥ4" - ], - "𢣚": [ - "ㄋㄧ3" - ], - "𢣞": [ - "ㄅㄛ2" - ], - "𢣠": [ - "ㄌㄧㄡ4" - ], - "𢣳": [ - "ㄖㄨㄟ4" - ], - "𢣵": [ - "ㄔㄨ2" - ], - "𢣻": [ - "ㄌㄩ2" - ], - "𢣼": [ - "ㄔㄚ2" - ], - "𢣿": [ - "ㄔㄨ4" - ], - "𢤁": [ - "ㄙㄠ4" - ], - "𢤂": [ - "ㄌㄧ2" - ], - "𢤄": [ - "ㄙㄨㄥ1" - ], - "𢤆": [ - "ㄌㄧ4", - "ㄌㄚ4" - ], - "𢤋": [ - "ㄒㄧ4" - ], - "𢤍": [ - "ㄧㄢ1" - ], - "𢤎": [ - "ㄘㄨㄛ1", - "ㄗㄨㄛ3" - ], - "𢤐": [ - "ㄌㄧㄡ2" - ], - "𢤘": [ - "ㄇㄥ2" - ], - "𢤚": [ - "ㄓㄢ4" - ], - "𢤤": [ - "ㄓㄨㄤ4" - ], - "𢤧": [ - "ㄇㄧㄠ3" - ], - "𢤩": [ - "ㄌㄧ4" - ], - "𢤫": [ - "ㄐㄩ3" - ], - "𢤯": [ - "ㄒㄧㄝ4" - ], - "𢤰": [ - "ㄒㄧㄝ4" - ], - "𢤱": [ - "ㄌㄨㄥ3" - ], - "𢤲": [ - "ㄌㄨㄥ2" - ], - "𢥂": [ - "ㄊㄥ2" - ], - "𢥃": [ - "ㄓㄨ4" - ], - "𢥋": [ - "ㄔㄢ2" - ], - "𢥌": [ - "ㄒㄧㄢ3" - ], - "𢥏": [ - "ㄧㄥ2" - ], - "𢥐": [ - "ㄆㄟ4" - ], - "𢥘": [ - "ㄒㄧㄝ2" - ], - "𢥚": [ - "ㄐㄧㄠ4" - ], - "𢥞": [ - "ㄔㄨㄥ1" - ], - "𢥳": [ - "ㄏㄜ1" - ], - "𢥽": [ - "ㄊㄨㄣ3" - ], - "𢦅": [ - "ㄏㄨㄥ3", - "ㄓㄨㄤ4" - ], - "𢦈": [ - "ㄇㄢ2" - ], - "𢦊": [ - "ㄐㄧㄣ1" - ], - "𢦌": [ - "ㄑㄩ2" - ], - "𢦍": [ - "ㄉㄡ3" - ], - "𢦎": [ - "ㄑㄧㄡ2" - ], - "𢦏": [ - "ㄗㄞ1" - ], - "𢦑": [ - "ㄕㄥ1" - ], - "𢦒": [ - "ㄗㄞ1" - ], - "𢦕": [ - "ㄧ3", - "ㄓ2" - ], - "𢦚": [ - "ㄏㄨㄚ4" - ], - "𢦟": [ - "ㄎㄢ1" - ], - "𢦰": [ - "ㄩㄝ4" - ], - "𢦱": [ - "ㄋㄧ4" - ], - "𢦲": [ - "ㄙ1" - ], - "𢦴": [ - "ㄨㄛ3" - ], - "𢦸": [ - "ㄘㄢ2" - ], - "𢦺": [ - "ㄐㄧㄢ1" - ], - "𢦼": [ - "ㄇㄧㄝ4" - ], - "𢦽": [ - "ㄕㄠ2", - "ㄑㄧ1" - ], - "𢦿": [ - "ㄖㄨㄥ3" - ], - "𢧀": [ - "ㄍㄢ1" - ], - "𢧅": [ - "ㄑㄧㄤ2" - ], - "𢧇": [ - "ㄕㄨ2" - ], - "𢧈": [ - "ㄓㄨㄛ2" - ], - "𢧏": [ - "ㄕ1" - ], - "𢧑": [ - "ㄊㄧ4" - ], - "𢧖": [ - "ㄓㄚ2" - ], - "𢧗": [ - "ㄓㄢ1" - ], - "𢧝": [ - "ㄈㄣ4" - ], - "𢧞": [ - "ㄇㄧㄝ4" - ], - "𢧠": [ - "ㄗㄜ4" - ], - "𢧤": [ - "ㄓ4" - ], - "𢧥": [ - "ㄑㄧㄢ1" - ], - "𢧦": [ - "ㄏㄢ4" - ], - "𢧧": [ - "ㄍㄜ2" - ], - "𢧮": [ - "ㄘㄢ2" - ], - "𢧰": [ - "ㄍㄨㄛ2" - ], - "𢧱": [ - "ㄐㄧㄠ1" - ], - "𢧳": [ - "ㄩㄥ1" - ], - "𢧴": [ - "ㄠ2" - ], - "𢧻": [ - "ㄓㄚ2" - ], - "𢧽": [ - "ㄒㄧ4" - ], - "𢨁": [ - "ㄒㄩ1" - ], - "𢨂": [ - "ㄨ3" - ], - "𢨏": [ - "ㄐㄩㄝ2" - ], - "𢨐": [ - "ㄐㄧ2", - "ㄐㄧ1" - ], - "𢨒": [ - "ㄔ4" - ], - "𢨔": [ - "ㄨㄢ3" - ], - "𢨖": [ - "ㄇㄧㄝ4" - ], - "𢨗": [ - "ㄗㄟ2" - ], - "𢨜": [ - "ㄐㄧㄝ2" - ], - "𢨝": [ - "ㄕ2" - ], - "𢨟": [ - "ㄒㄧ1", - "ㄒㄧ4" - ], - "𢨡": [ - "ㄜ4" - ], - "𢨥": [ - "ㄏㄨ4" - ], - "𢨦": [ - "ㄏㄨ4" - ], - "𢨨": [ - "ㄌㄧ4" - ], - "𢨫": [ - "ㄔㄨ4" - ], - "𢨮": [ - "ㄧ1" - ], - "𢨯": [ - "ㄇㄠ3" - ], - "𢨰": [ - "ㄒㄩ1" - ], - "𢨱": [ - "ㄓㄨㄥ1" - ], - "𢨳": [ - "ㄧ4" - ], - "𢨺": [ - "ㄌㄧㄠ2" - ], - "𢨿": [ - "ㄐㄧㄢ1" - ], - "𢩀": [ - "ㄐㄧㄢ3" - ], - "𢩁": [ - "ㄐㄩ2" - ], - "𢩄": [ - "ㄓㄨ4" - ], - "𢩈": [ - "ㄨ3" - ], - "𢩏": [ - "ㄎㄜ4" - ], - "𢩐": [ - "ㄎㄜ3" - ], - "𢩑": [ - "ㄌㄧ4" - ], - "𢩒": [ - "ㄅㄧ3" - ], - "𢩓": [ - "ㄍㄜ2" - ], - "𢩕": [ - "ㄒㄩ1" - ], - "𢩖": [ - "ㄕㄚ1" - ], - "𢩗": [ - "ㄌㄧㄥ2" - ], - "𢩘": [ - "ㄎㄜ1" - ], - "𢩞": [ - "ㄅㄛ2" - ], - "𢩟": [ - "ㄅㄧㄢ1" - ], - "𢩠": [ - "ㄕㄨㄢ1" - ], - "𢩡": [ - "ㄑㄧ2" - ], - "𢩢": [ - "ㄕㄢ4" - ], - "𢩦": [ - "ㄐㄧ1" - ], - "𢩨": [ - "ㄑㄧㄠ3", - "ㄒㄧㄡ3" - ], - "𢩮": [ - "ㄧ4" - ], - "𢩯": [ - "ㄐㄩㄝ2" - ], - "𢩰": [ - "ㄓㄤ3" - ], - "𢩲": [ - "ㄒㄧㄣ4" - ], - "𢩷": [ - "ㄊㄨㄛ1" - ], - "𢩸": [ - "ㄏㄞ4" - ], - "𢩹": [ - "ㄒㄧㄚ4" - ], - "𢩻": [ - "ㄊㄨㄛ2" - ], - "𢩼": [ - "ㄧ2" - ], - "𢪃": [ - "ㄘㄨ4" - ], - "𢪇": [ - "ㄐㄧㄤ1" - ], - "𢪈": [ - "ㄋㄢ2" - ], - "𢪋": [ - "ㄆㄥ3", - "ㄈㄥ2", - "ㄅㄤ4" - ], - "𢪍": [ - "ㄐㄧㄝ2", - "ㄐㄧㄚ1" - ], - "𢪎": [ - "ㄒㄩㄝ1" - ], - "𢪏": [ - "ㄏㄨ2", - "ㄍㄨ3" - ], - "𢪥": [ - "ㄧㄡ3" - ], - "𢪦": [ - "ㄋㄨ3" - ], - "𢪧": [ - "ㄧㄝ4" - ], - "𢪪": [ - "ㄧㄣ4" - ], - "𢪬": [ - "ㄎㄨㄥ3" - ], - "𢪶": [ - "ㄒㄧㄠ1" - ], - "𢪷": [ - "ㄒㄧㄤ1" - ], - "𢪼": [ - "ㄋㄠ2" - ], - "𢪾": [ - "ㄓㄤ4" - ], - "𢫐": [ - "ㄐㄧㄝ2" - ], - "𢫓": [ - "ㄋㄨ3" - ], - "𢫔": [ - "ㄕㄢ4", - "ㄑㄩㄢ2" - ], - "𢫢": [ - "ㄐㄧㄚ2" - ], - "𢫧": [ - "ㄓㄡ3" - ], - "𢫨": [ - "ㄖㄨㄥ3", - "ㄖㄥ1" - ], - "𢫫": [ - "ㄌㄨ4" - ], - "𢫬": [ - "ㄙㄚ4", - "ㄘㄨㄛ1", - "ㄕㄚ1" - ], - "𢫭": [ - "ㄋㄨ4" - ], - "𢫯": [ - "ㄅㄛ2" - ], - "𢫰": [ - "ㄓㄜ2" - ], - "𢫲": [ - "ㄑㄧㄣ3" - ], - "𢫴": [ - "ㄘ1" - ], - "𢫵": [ - "ㄗㄨ2" - ], - "𢫷": [ - "ㄨㄛ3" - ], - "𢫸": [ - "ㄨ3", - "ㄨ1" - ], - "𢫻": [ - "ㄋㄧㄝ2" - ], - "𢫿": [ - "ㄒㄧㄢ1" - ], - "𢬀": [ - "ㄏㄨㄥ2" - ], - "𢬫": [ - "ㄊㄧㄥ4" - ], - "𢬬": [ - "ㄐㄧㄣ3" - ], - "𢬱": [ - "ㄐㄧㄝ2" - ], - "𢬲": [ - "ㄏㄜ4" - ], - "𢬳": [ - "ㄊㄨ1" - ], - "𢬴": [ - "ㄓㄜ2", - "ㄋㄧㄝ4", - "ㄉㄧㄝ2" - ], - "𢬵": [ - "ㄆㄧㄣ1", - "ㄆㄢ1", - "ㄅㄧㄢ4", - "ㄈㄢ1" - ], - "𢬶": [ - "ㄐㄧㄣ4" - ], - "𢬷": [ - "ㄋㄢ4" - ], - "𢬼": [ - "ㄉㄨㄣ4" - ], - "𢬾": [ - "ㄒㄧ1" - ], - "𢬿": [ - "ㄒㄧㄝ4" - ], - "𢭁": [ - "ㄒㄧ4" - ], - "𢭂": [ - "ㄌㄠ2" - ], - "𢭃": [ - "ㄉㄨㄢ3", - "ㄉㄡ4" - ], - "𢭄": [ - "ㄐㄧ4" - ], - "𢭅": [ - "ㄔㄚ1" - ], - "𢭆": [ - "ㄔㄡ1" - ], - "𢭈": [ - "ㄍㄤ1" - ], - "𢭎": [ - "ㄒㄧㄤ2" - ], - "𢭏": [ - "ㄉㄠ3" - ], - "𢭥": [ - "ㄅㄧㄢ4" - ], - "𢭦": [ - "ㄒㄧㄠ1" - ], - "𢭧": [ - "ㄒㄧㄣ1" - ], - "𢮁": [ - "ㄩ3" - ], - "𢮂": [ - "ㄒㄧㄢ2" - ], - "𢮃": [ - "ㄌㄧ2" - ], - "𢮄": [ - "ㄑㄧㄢ3" - ], - "𢮇": [ - "ㄇㄟ3" - ], - "𢮉": [ - "ㄑㄧㄠ1" - ], - "𢮊": [ - "ㄧㄚ4" - ], - "𢮌": [ - "ㄑㄧㄚ1", - "ㄐㄧㄝ2" - ], - "𢮍": [ - "ㄑㄩㄥ4" - ], - "𢮏": [ - "ㄅㄤ4" - ], - "𢮐": [ - "ㄓㄥ1" - ], - "𢮚": [ - "ㄗㄜ4" - ], - "𢮛": [ - "ㄕㄨㄢ4", - "ㄊㄨㄢ2" - ], - "𢮞": [ - "ㄙㄠ4" - ], - "𢯅": [ - "ㄌㄨ4", - "ㄐㄩㄝ2" - ], - "𢯉": [ - "ㄒㄧㄝ2" - ], - "𢯋": [ - "ㄈㄨ3" - ], - "𢯌": [ - "ㄓㄞ4" - ], - "𢯩": [ - "ㄗㄜ4" - ], - "𢯫": [ - "ㄉㄨㄢ4", - "ㄨㄢ3" - ], - "𢯭": [ - "ㄉㄥ4" - ], - "𢯮": [ - "ㄩ4" - ], - "𢯰": [ - "ㄌㄩ4" - ], - "𢯲": [ - "ㄨㄢ4" - ], - "𢯳": [ - "ㄒㄩㄝ2" - ], - "𢯴": [ - "ㄐㄧㄠ3" - ], - "𢯵": [ - "ㄩㄝ3" - ], - "𢯶": [ - "ㄓ4" - ], - "𢯷": [ - "ㄨㄟ3", - "ㄏㄨㄟ1" - ], - "𢯹": [ - "ㄍㄜ2" - ], - "𢯺": [ - "ㄐㄩ3" - ], - "𢯼": [ - "ㄧㄢ3" - ], - "𢯽": [ - "ㄘㄨㄛ4" - ], - "𢯾": [ - "ㄇㄠ4" - ], - "𢰆": [ - "ㄈㄨ2" - ], - "𢰇": [ - "ㄞ1" - ], - "𢰊": [ - "ㄒㄩㄢ1" - ], - "𢰌": [ - "ㄍㄤ1" - ], - "𢰍": [ - "ㄢ1" - ], - "𢰒": [ - "ㄐㄧ2" - ], - "𢰘": [ - "ㄆㄧ2" - ], - "𢰙": [ - "ㄓ3" - ], - "𢰜": [ - "ㄋㄨㄛ2" - ], - "𢰿": [ - "ㄆㄢ4" - ], - "𢱁": [ - "ㄧ2" - ], - "𢱄": [ - "ㄐㄧㄝ2" - ], - "𢱆": [ - "ㄗ1" - ], - "𢱈": [ - "ㄐㄧㄚ4" - ], - "𢱉": [ - "ㄨㄞ3" - ], - "𢱌": [ - "ㄐㄧㄚ4" - ], - "𢱟": [ - "ㄔㄢ3", - "ㄔ1" - ], - "𢱡": [ - "ㄙㄨㄛ3" - ], - "𢱢": [ - "ㄙㄨㄛ3", - "ㄙㄜ4" - ], - "𢱣": [ - "ㄐㄧ2" - ], - "𢱤": [ - "ㄙㄨㄥ3" - ], - "𢱦": [ - "ㄊㄧ1" - ], - "𢱧": [ - "ㄆㄧ1" - ], - "𢱨": [ - "ㄆㄛ2" - ], - "𢱮": [ - "ㄇㄧ4" - ], - "𢱴": [ - "ㄧㄝ4" - ], - "𢱶": [ - "ㄑㄧㄣ4" - ], - "𢱷": [ - "ㄐㄧㄣ4" - ], - "𢱺": [ - "ㄐㄩㄝ1" - ], - "𢱽": [ - "ㄩㄢ1" - ], - "𢱾": [ - "ㄖㄨㄢ2" - ], - "𢲔": [ - "ㄅㄢ4", - "ㄅㄢ1", - "ㄆㄢ1" - ], - "𢲰": [ - "ㄅㄧㄣ1" - ], - "𢲴": [ - "ㄨㄟ4" - ], - "𢲵": [ - "ㄗㄠ4" - ], - "𢲶": [ - "ㄑㄧㄝ4" - ], - "𢲷": [ - "ㄙㄡ1" - ], - "𢲸": [ - "ㄌㄨ3" - ], - "𢲼": [ - "ㄉㄧㄝ2" - ], - "𢲽": [ - "ㄔㄨㄞ1" - ], - "𢲾": [ - "ㄅㄧ4" - ], - "𢲿": [ - "ㄓㄨ2" - ], - "𢳀": [ - "ㄇㄚ1", - "ㄇㄛ2" - ], - "𢳁": [ - "ㄈㄟ4" - ], - "𢳂": [ - "ㄆㄧㄝ1" - ], - "𢳃": [ - "ㄧㄣ4" - ], - "𢳄": [ - "ㄒㄩㄢ4", - "ㄒㄩㄢ2" - ], - "𢳆": [ - "ㄠ4", - "ㄠ2" - ], - "𢳇": [ - "ㄓㄨㄛ2", - "ㄗㄨ2" - ], - "𢳈": [ - "ㄗㄨ2" - ], - "𢳋": [ - "ㄅㄧ3" - ], - "𢳑": [ - "ㄌㄤ4" - ], - "𢳓": [ - "ㄊㄧ4" - ], - "𢳙": [ - "ㄊㄧㄠ3" - ], - "𢳚": [ - "ㄐㄧㄢ1" - ], - "𢳟": [ - "ㄊㄨㄥ3" - ], - "𢳽": [ - "ㄉㄨㄛ1" - ], - "𢳾": [ - "ㄉㄨㄥ4" - ], - "𢴂": [ - "ㄅㄧㄢ3" - ], - "𢴠": [ - "ㄓ4" - ], - "𢴢": [ - "ㄈㄣ2" - ], - "𢴦": [ - "ㄎㄤ2" - ], - "𢴧": [ - "ㄓ4" - ], - "𢴨": [ - "ㄓㄞ1", - "ㄓ4", - "ㄔ4" - ], - "𢴩": [ - "ㄅㄧ4" - ], - "𢴪": [ - "ㄎㄨㄢ3" - ], - "𢴬": [ - "ㄅㄢ4" - ], - "𢴭": [ - "ㄐㄩㄝ1" - ], - "𢴮": [ - "ㄑㄩ1" - ], - "𢴰": [ - "ㄑㄧ1" - ], - "𢴱": [ - "ㄌㄟ2" - ], - "𢴲": [ - "ㄒㄧㄝ2", - "ㄐㄧㄝ2" - ], - "𢴳": [ - "ㄊㄤ1" - ], - "𢴼": [ - "ㄙㄡ1" - ], - "𢴾": [ - "ㄅㄟ4" - ], - "𢵇": [ - "ㄧㄤ4" - ], - "𢵈": [ - "ㄐㄧㄢ3", - "ㄓㄢ3" - ], - "𢵥": [ - "ㄗㄠ4" - ], - "𢶀": [ - "ㄓㄨㄞ4", - "ㄔㄨㄞ2" - ], - "𢶃": [ - "ㄈㄢ2" - ], - "𢶅": [ - "ㄕㄜ2" - ], - "𢶇": [ - "ㄑㄩㄥ2" - ], - "𢶉": [ - "ㄆㄛ4" - ], - "𢶋": [ - "ㄊㄧㄝ3" - ], - "𢶌": [ - "ㄕㄚ1" - ], - "𢶍": [ - "ㄗㄚ2", - "ㄙㄚ4" - ], - "𢶑": [ - "ㄋㄧㄠ3" - ], - "𢶒": [ - "ㄍㄨㄞ4" - ], - "𢶓": [ - "ㄘㄨㄟ3" - ], - "𢶡": [ - "ㄑㄧㄠ4", - "ㄐㄧㄠ3" - ], - "𢶣": [ - "ㄉㄧㄝ2" - ], - "𢶳": [ - "ㄆㄧㄣ1" - ], - "𢶴": [ - "ㄘ2" - ], - "𢶶": [ - "ㄅㄤ4" - ], - "𢷍": [ - "ㄧㄣ4" - ], - "𢷑": [ - "ㄒㄧㄢ3" - ], - "𢷔": [ - "ㄧ3" - ], - "𢷕": [ - "ㄇㄧㄠ3" - ], - "𢷖": [ - "ㄉㄨㄢ3" - ], - "𢷗": [ - "ㄓㄡ4" - ], - "𢷙": [ - "ㄎㄨㄥ1" - ], - "𢷢": [ - "ㄓㄤ1" - ], - "𢷶": [ - "ㄌㄧㄡ2" - ], - "𢷸": [ - "ㄓ3" - ], - "𢷹": [ - "ㄔㄢ3" - ], - "𢷺": [ - "ㄉㄨ2" - ], - "𢷻": [ - "ㄩㄢ2" - ], - "𢷾": [ - "ㄙㄨㄛ4", - "ㄘㄜ4" - ], - "𢷿": [ - "ㄐㄧㄝ2" - ], - "𢸀": [ - "ㄌㄧ4" - ], - "𢸁": [ - "ㄍㄨㄥ3" - ], - "𢸌": [ - "ㄅㄤ1" - ], - "𢸗": [ - "ㄍㄨㄛ2" - ], - "𢸘": [ - "ㄌㄧㄠ2" - ], - "𢸙": [ - "ㄕㄣ3" - ], - "𢸣": [ - "ㄋㄧㄠ3" - ], - "𢸥": [ - "ㄘㄨㄢ4" - ], - "𢸦": [ - "ㄨㄟ3" - ], - "𢸨": [ - "ㄊㄨㄛ1" - ], - "𢸫": [ - "ㄙㄨ1" - ], - "𢸭": [ - "ㄌㄨㄥ2" - ], - "𢸳": [ - "ㄒㄧㄠ1" - ], - "𢸴": [ - "ㄧㄢ3", - "ㄧㄢ2" - ], - "𢹃": [ - "ㄑㄧㄥ3" - ], - "𢹍": [ - "ㄒㄧ1" - ], - "𢹏": [ - "ㄩ2" - ], - "𢹑": [ - "ㄓㄥ4", - "ㄓㄥ1" - ], - "𢹒": [ - "ㄒㄧㄝ4" - ], - "𢹓": [ - "ㄔㄞ1" - ], - "𢹔": [ - "ㄈㄣ4" - ], - "𢹖": [ - "ㄍㄨㄛ2" - ], - "𢹘": [ - "ㄐㄧㄥ3" - ], - "𢹙": [ - "ㄌㄢ4" - ], - "𢹚": [ - "ㄒㄧㄢ1" - ], - "𢹝": [ - "ㄌㄧㄥ2" - ], - "𢹮": [ - "ㄌㄟ3" - ], - "𢹲": [ - "ㄐㄩㄣ4" - ], - "𢹳": [ - "ㄒㄧㄠ4" - ], - "𢹼": [ - "ㄗㄚ2" - ], - "𢺄": [ - "ㄍㄨㄢ1" - ], - "𢺅": [ - "ㄑㄧㄝ4" - ], - "𢺆": [ - "ㄌㄨㄛ4" - ], - "𢺇": [ - "ㄧㄠ4" - ], - "𢺈": [ - "ㄌㄨㄢ2" - ], - "𢺉": [ - "ㄊㄚ4" - ], - "𢺑": [ - "ㄌㄨㄛ4" - ], - "𢺞": [ - "ㄅㄚ3" - ], - "𢺟": [ - "ㄔㄢ4" - ], - "𢺡": [ - "ㄓㄨㄛ2" - ], - "𢺫": [ - "ㄊㄧㄠ3" - ], - "𢺯": [ - "ㄨㄢ1" - ], - "𢺰": [ - "ㄌㄧㄥ2", - "ㄌㄧㄥ4" - ], - "𢺴": [ - "ㄩ4" - ], - "𢺵": [ - "ㄑㄧ4", - "ㄑㄧ3" - ], - "𢺷": [ - "ㄑㄧ2" - ], - "𢺼": [ - "ㄐㄧ4" - ], - "𢺽": [ - "ㄅㄛ2", - "ㄐㄧㄠ4" - ], - "𢺿": [ - "ㄕ1" - ], - "𢻀": [ - "ㄈㄨ3" - ], - "𢻂": [ - "ㄍㄨㄟ1" - ], - "𢻅": [ - "ㄉㄧㄢ3" - ], - "𢻇": [ - "ㄏㄠ1" - ], - "𢻉": [ - "ㄍㄞ3" - ], - "𢻋": [ - "ㄑㄧ2" - ], - "𢻓": [ - "ㄔㄥ2" - ], - "𢻔": [ - "ㄏㄨㄟ4" - ], - "𢻗": [ - "ㄒㄧㄚ2", - "ㄍㄨㄟ1" - ], - "𢻘": [ - "ㄕ2" - ], - "𢻙": [ - "ㄓ4" - ], - "𢻚": [ - "ㄑㄧ2" - ], - "𢻜": [ - "ㄏㄞ4" - ], - "𢻟": [ - "ㄐㄧㄠ3" - ], - "𢻠": [ - "ㄌㄧ4" - ], - "𢻢": [ - "ㄌㄧㄠ3" - ], - "𢻤": [ - "ㄑㄧㄠ1", - "ㄑㄧㄠ2" - ], - "𢻨": [ - "ㄙㄚ4" - ], - "𢻪": [ - "ㄑㄧ1" - ], - "𢻫": [ - "ㄕ1" - ], - "𢻮": [ - "ㄐㄧㄝ2", - "ㄈㄨ2" - ], - "𢻵": [ - "ㄅㄟ4", - "ㄌㄨ4" - ], - "𢻶": [ - "ㄅㄧㄢ1" - ], - "𢻷": [ - "ㄅㄚ1" - ], - "𢻸": [ - "ㄐㄩㄣ1" - ], - "𢻹": [ - "ㄆㄧ1" - ], - "𢻼": [ - "ㄉㄢ3" - ], - "𢻿": [ - "ㄊㄤ2" - ], - "𢼀": [ - "ㄎㄨㄟ3" - ], - "𢼁": [ - "ㄎㄨ1" - ], - "𢼃": [ - "ㄎㄡ3" - ], - "𢼉": [ - "ㄕ1" - ], - "𢼊": [ - "ㄕ1", - "ㄊㄨㄛ2" - ], - "𢼋": [ - "ㄐㄧ1" - ], - "𢼌": [ - "ㄅㄠ4" - ], - "𢼐": [ - "ㄎㄜ3" - ], - "𢼑": [ - "ㄎㄨㄤ1" - ], - "𢼖": [ - "ㄇㄧㄣ3" - ], - "𢼙": [ - "ㄌㄧㄠ2" - ], - "𢼚": [ - "ㄜ4" - ], - "𢼛": [ - "ㄍㄜ2", - "ㄍㄨㄛ2", - "ㄜ4" - ], - "𢼟": [ - "ㄨㄤ3" - ], - "𢼠": [ - "ㄉㄨㄛ2" - ], - "𢼣": [ - "ㄑㄧㄚ4" - ], - "𢼤": [ - "ㄏㄨㄚ2" - ], - "𢼦": [ - "ㄏㄨㄥ3" - ], - "𢼩": [ - "ㄆㄥ1" - ], - "𢼫": [ - "ㄐㄧㄠ4" - ], - "𢼰": [ - "ㄑㄩ1" - ], - "𢼱": [ - "ㄗ4" - ], - "𢼲": [ - "ㄓㄡ4" - ], - "𢼳": [ - "ㄎㄨㄤ1" - ], - "𢼵": [ - "ㄕㄚ1" - ], - "𢼷": [ - "ㄐㄧ4" - ], - "𢼸": [ - "ㄨㄟ1", - "ㄨㄟ2" - ], - "𢼹": [ - "ㄆㄨ1", - "ㄅㄨ3" - ], - "𢼺": [ - "ㄒㄩㄝ2" - ], - "𢼼": [ - "ㄕㄠ1" - ], - "𢽂": [ - "ㄌㄤ2" - ], - "𢽃": [ - "ㄓ3" - ], - "𢽄": [ - "ㄊㄧㄥ3" - ], - "𢽇": [ - "ㄉㄚ4" - ], - "𢽕": [ - "ㄧㄤ2" - ], - "𢽖": [ - "ㄐㄧㄣ4" - ], - "𢽗": [ - "ㄓ3" - ], - "𢽚": [ - "ㄓㄨㄛ2", - "ㄉㄨ1" - ], - "𢽜": [ - "ㄗㄚ2" - ], - "𢽝": [ - "ㄔㄢ2" - ], - "𢽢": [ - "ㄇㄠ4" - ], - "𢽦": [ - "ㄎㄨㄥ1" - ], - "𢽧": [ - "ㄓㄡ1" - ], - "𢽨": [ - "ㄏㄨ1" - ], - "𢽩": [ - "ㄆㄥ1" - ], - "𢽭": [ - "ㄐㄧㄡ4" - ], - "𢽸": [ - "ㄔㄨㄛ4" - ], - "𢽹": [ - "ㄇㄧㄣ3" - ], - "𢽾": [ - "ㄒㄧㄠ4" - ], - "𢾀": [ - "ㄉㄨ3" - ], - "𢾁": [ - "ㄨㄟ2" - ], - "𢾃": [ - "ㄘㄢ2" - ], - "𢾄": [ - "ㄩ2" - ], - "𢾅": [ - "ㄉㄨ4" - ], - "𢾆": [ - "ㄎㄞ1" - ], - "𢾇": [ - "ㄆㄧ4" - ], - "𢾊": [ - "ㄔㄥ2" - ], - "𢾎": [ - "ㄔㄨㄣ3" - ], - "𢾐": [ - "ㄕㄠ3" - ], - "𢾑": [ - "ㄧㄢ3" - ], - "𢾒": [ - "ㄎㄨㄞ4" - ], - "𢾔": [ - "ㄩㄝ1" - ], - "𢾦": [ - "ㄑㄧ2" - ], - "𢾧": [ - "ㄓㄥ1" - ], - "𢾩": [ - "ㄎㄜ4" - ], - "𢾪": [ - "ㄑㄧ2" - ], - "𢾫": [ - "ㄓ3" - ], - "𢾬": [ - "ㄌㄨ4" - ], - "𢾱": [ - "ㄆㄧ1" - ], - "𢾲": [ - "ㄋㄨㄛ4" - ], - "𢾳": [ - "ㄆㄠ3" - ], - "𢾺": [ - "ㄈㄟ3" - ], - "𢾿": [ - "ㄨㄣ2" - ], - "𢿂": [ - "ㄇㄥ2" - ], - "𢿈": [ - "ㄕㄢ3" - ], - "𢿌": [ - "ㄒㄩㄥ4", - "ㄒㄩㄢ4" - ], - "𢿎": [ - "ㄉㄨㄛ4" - ], - "𢿏": [ - "ㄅㄧㄠ4", - "ㄆㄠ1" - ], - "𢿚": [ - "ㄧㄡ1" - ], - "𢿜": [ - "ㄇㄢ4" - ], - "𢿞": [ - "ㄌㄧㄠ3" - ], - "𢿡": [ - "ㄒㄧㄝ2" - ], - "𢿢": [ - "ㄌㄨㄢ4" - ], - "𢿣": [ - "ㄑㄧㄠ1" - ], - "𢿤": [ - "ㄉㄥ4" - ], - "𢿦": [ - "ㄔㄥ2" - ], - "𢿧": [ - "ㄔㄥ2" - ], - "𢿭": [ - "ㄔㄨㄛ4" - ], - "𢿸": [ - "ㄘㄜ4" - ], - "𣀀": [ - "ㄌㄟ2" - ], - "𣀁": [ - "ㄓㄢ3" - ], - "𣀂": [ - "ㄌㄧ3" - ], - "𣀃": [ - "ㄌㄧㄢ2" - ], - "𣀄": [ - "ㄑㄩㄣ2" - ], - "𣀍": [ - "ㄔㄣ2" - ], - "𣀏": [ - "ㄔㄥ2" - ], - "𣀐": [ - "ㄍㄨ1" - ], - "𣀒": [ - "ㄗㄨㄥ4" - ], - "𣀓": [ - "ㄔㄡ2", - "ㄉㄠ3" - ], - "𣀔": [ - "ㄔㄨㄢ4", - "ㄔㄨㄛ4" - ], - "𣀜": [ - "ㄌㄟ4" - ], - "𣀝": [ - "ㄕㄨㄛ4" - ], - "𣀞": [ - "ㄌㄩ4" - ], - "𣀣": [ - "ㄈㄨ2" - ], - "𣀥": [ - "ㄌㄧ4" - ], - "𣀧": [ - "ㄙㄢ4" - ], - "𣀫": [ - "ㄙㄢ1" - ], - "𣀯": [ - "ㄙㄚ4" - ], - "𣀳": [ - "ㄋㄧㄝ4" - ], - "𣀶": [ - "ㄗㄨㄢ1" - ], - "𣀷": [ - "ㄌㄧ3", - "ㄌㄧ2" - ], - "𣀻": [ - "ㄕㄨ3", - "ㄓㄨ3" - ], - "𣀾": [ - "ㄈㄨ2" - ], - "𣁉": [ - "ㄅㄧ4" - ], - "𣁍": [ - "ㄉㄠ4" - ], - "𣁒": [ - "ㄕ1" - ], - "𣁖": [ - "ㄍㄢ4" - ], - "𣁗": [ - "ㄊㄢ4" - ], - "𣁜": [ - "ㄇㄢ4" - ], - "𣁟": [ - "ㄌㄧ2" - ], - "𣁢": [ - "ㄅㄧ4" - ], - "𣁦": [ - "ㄆㄢ2" - ], - "𣁨": [ - "ㄧㄡ1" - ], - "𣁭": [ - "ㄐㄧㄡ1" - ], - "𣁯": [ - "ㄍㄨㄛ1" - ], - "𣁰": [ - "ㄌㄧㄠ2" - ], - "𣁳": [ - "ㄨㄛ4" - ], - "𣁴": [ - "ㄑㄧㄚ4" - ], - "𣁵": [ - "ㄉㄡ3" - ], - "𣁷": [ - "ㄌㄧㄝ4" - ], - "𣁹": [ - "ㄐㄧㄠ3" - ], - "𣁻": [ - "ㄌㄧㄝ4", - "ㄌㄨㄛ1" - ], - "𣂁": [ - "ㄊㄧㄠ1", - "ㄑㄧㄠ1" - ], - "𣂄": [ - "ㄍㄨㄛ1" - ], - "𣂆": [ - "ㄆㄤ1" - ], - "𣂇": [ - "ㄑㄧㄠ1" - ], - "𣂉": [ - "ㄉㄧ2" - ], - "𣂊": [ - "ㄩㄣ4" - ], - "𣂒": [ - "ㄌㄜ4" - ], - "𣂖": [ - "ㄙ1" - ], - "𣂗": [ - "ㄒㄧㄣ1" - ], - "𣂜": [ - "ㄒㄧㄣ1" - ], - "𣂝": [ - "ㄒㄧㄤ4" - ], - "𣂞": [ - "ㄌㄨㄛ3" - ], - "𣂤": [ - "ㄅㄥ1" - ], - "𣂥": [ - "ㄊㄧㄠ1", - "ㄑㄧㄠ1" - ], - "𣂬": [ - "ㄒㄧㄠ4" - ], - "𣂮": [ - "ㄉㄡ1", - "ㄊㄡ2" - ], - "𣂳": [ - "ㄉㄤ4" - ], - "𣂴": [ - "ㄊㄧㄥ2" - ], - "𣂵": [ - "ㄓㄨㄢ4" - ], - "𣂻": [ - "ㄡ1", - "ㄎㄡ1" - ], - "𣂽": [ - "ㄨㄛ4" - ], - "𣃄": [ - "ㄒㄧㄣ1" - ], - "𣃅": [ - "ㄖㄨㄢ3" - ], - "𣃈": [ - "ㄓㄨㄛ2" - ], - "𣃉": [ - "ㄉㄤ4" - ], - "𣃍": [ - "ㄘㄨㄟ4", - "ㄔㄚ4" - ], - "𣃑": [ - "ㄓㄨㄛ2" - ], - "𣃗": [ - "ㄘㄨㄥ2" - ], - "𣃘": [ - "ㄔㄢ3", - "ㄔㄨㄤ2" - ], - "𣃝": [ - "ㄧㄤ3" - ], - "𣃧": [ - "ㄧㄢ3" - ], - "𣃳": [ - "ㄧㄢ3", - "ㄧㄝ4" - ], - "𣃵": [ - "ㄓㄣ4", - "ㄕㄣ1" - ], - "𣃽": [ - "ㄋㄨㄛ3" - ], - "𣃾": [ - "ㄧㄢ4" - ], - "𣄅": [ - "ㄈㄤ3" - ], - "𣄉": [ - "ㄧㄢ3" - ], - "𣄊": [ - "ㄩ2" - ], - "𣄍": [ - "ㄊㄧ2" - ], - "𣄎": [ - "ㄈㄨ4" - ], - "𣄏": [ - "ㄅㄣ3" - ], - "𣄑": [ - "ㄧㄢ3" - ], - "𣄓": [ - "ㄏㄨㄟ1" - ], - "𣄙": [ - "ㄏㄨㄤ3" - ], - "𣄜": [ - "ㄍㄨㄟ4" - ], - "𣄝": [ - "ㄧㄢ4" - ], - "𣄟": [ - "ㄏㄨ2" - ], - "𣄠": [ - "ㄅㄧㄠ1" - ], - "𣄧": [ - "ㄙㄨㄟ4", - "ㄨㄟ2" - ], - "𣄮": [ - "ㄗ4" - ], - "𣄯": [ - "ㄐㄧ4" - ], - "𣄰": [ - "ㄜ3" - ], - "𣄱": [ - "ㄐㄧ4" - ], - "𣄲": [ - "ㄎㄨㄟ3" - ], - "𣄴": [ - "ㄌㄧㄤ4" - ], - "𣄸": [ - "ㄏㄨㄛ4" - ], - "𣄺": [ - "ㄨㄟ2" - ], - "𣄻": [ - "ㄓㄨㄛ1" - ], - "𣄿": [ - "ㄊㄧㄥ3" - ], - "𣅃": [ - "ㄗㄞ3" - ], - "𣅄": [ - "ㄧㄡ4" - ], - "𣅉": [ - "ㄖㄣ4" - ], - "𣅍": [ - "ㄇㄧㄢ4", - "ㄅㄧㄥ1" - ], - "𣅚": [ - "ㄋㄚ4", - "ㄋㄧㄡ3" - ], - "𣅝": [ - "ㄊㄨ1" - ], - "𣅟": [ - "ㄉㄢ1" - ], - "𣅡": [ - "ㄐㄩㄝ2" - ], - "𣅤": [ - "ㄒㄩ1" - ], - "𣅥": [ - "ㄉㄧ1" - ], - "𣅰": [ - "ㄒㄧㄤ4" - ], - "𣅷": [ - "ㄒㄩㄥ4" - ], - "𣅺": [ - "ㄧㄡ3" - ], - "𣅻": [ - "ㄍㄨㄚ3", - "ㄐㄩㄥ1" - ], - "𣅾": [ - "ㄒㄧ1" - ], - "𣆈": [ - "ㄏㄜ4" - ], - "𣆍": [ - "ㄉㄧㄥ3" - ], - "𣆐": [ - "ㄌㄨ2" - ], - "𣆒": [ - "ㄒㄩ2" - ], - "𣆔": [ - "ㄓㄡ4" - ], - "𣆕": [ - "ㄒㄧㄢ4" - ], - "𣆖": [ - "ㄏㄨㄤ1" - ], - "𣆗": [ - "ㄔㄚ1" - ], - "𣆘": [ - "ㄕ3" - ], - "𣆙": [ - "ㄍㄢ4" - ], - "𣆚": [ - "ㄋㄨㄛ3", - "ㄔ3" - ], - "𣆛": [ - "ㄢ4", - "ㄨㄢ3" - ], - "𣆟": [ - "ㄒㄧㄝ1", - "ㄐㄧㄝ1" - ], - "𣆧": [ - "ㄏㄠ4" - ], - "𣆲": [ - "ㄑㄧㄣ1" - ], - "𣆳": [ - "ㄍㄥ3" - ], - "𣆴": [ - "ㄕㄢ1" - ], - "𣆵": [ - "ㄈㄨ2" - ], - "𣆽": [ - "ㄗㄜ4" - ], - "𣇇": [ - "ㄉㄢ4" - ], - "𣇖": [ - "ㄉㄧㄢ3" - ], - "𣇗": [ - "ㄕㄣ1" - ], - "𣇙": [ - "ㄗㄨ3" - ], - "𣇢": [ - "ㄅㄧㄝ1" - ], - "𣇦": [ - "ㄔㄨㄟ2" - ], - "𣇧": [ - "ㄓㄜ4" - ], - "𣇨": [ - "ㄉㄞ4" - ], - "𣇫": [ - "ㄨㄛ3" - ], - "𣇬": [ - "ㄑㄩㄥ2" - ], - "𣇰": [ - "ㄌㄧㄣ2" - ], - "𣇲": [ - "ㄏㄨㄣ1" - ], - "𣇳": [ - "ㄐㄧ1" - ], - "𣈅": [ - "ㄘㄠ2" - ], - "𣈊": [ - "ㄇㄨ4" - ], - "𣈍": [ - "ㄉㄧㄝ2" - ], - "𣈎": [ - "ㄨㄟ4" - ], - "𣈠": [ - "ㄅㄧㄢ4" - ], - "𣈡": [ - "ㄊㄧ3" - ], - "𣈥": [ - "ㄊㄨ2" - ], - "𣈶": [ - "ㄍㄥ4" - ], - "𣉄": [ - "ㄔ2" - ], - "𣉅": [ - "ㄘㄡ4" - ], - "𣉆": [ - "ㄊㄧ3" - ], - "𣉒": [ - "ㄏㄨㄛ4" - ], - "𣉓": [ - "ㄑㄧ1" - ], - "𣉔": [ - "ㄙㄠ1" - ], - "𣉕": [ - "ㄙㄤ4" - ], - "𣉖": [ - "ㄒㄩㄢ3" - ], - "𣉗": [ - "ㄤ4" - ], - "𣉘": [ - "ㄋㄞ4" - ], - "𣉚": [ - "ㄧㄤ2" - ], - "𣉛": [ - "ㄕㄨ1" - ], - "𣉜": [ - "ㄕㄚ1" - ], - "𣉡": [ - "ㄊㄧㄥ3" - ], - "𣉩": [ - "ㄧㄚ4" - ], - "𣉪": [ - "ㄏㄨㄤ3" - ], - "𣉮": [ - "ㄅㄧㄣ1" - ], - "𣉾": [ - "ㄡ4" - ], - "𣉿": [ - "ㄘㄠ2" - ], - "𣊁": [ - "ㄠ2" - ], - "𣊃": [ - "ㄇㄠ4" - ], - "𣊔": [ - "ㄇㄥ2" - ], - "𣊖": [ - "ㄊㄧㄢ1" - ], - "𣊝": [ - "ㄙㄤ4" - ], - "𣊞": [ - "ㄒㄩ4" - ], - "𣊟": [ - "ㄎㄢ4" - ], - "𣊧": [ - "ㄌㄤ3", - "ㄓㄠ4" - ], - "𣊶": [ - "ㄅㄧㄝ1" - ], - "𣊷": [ - "ㄘㄨㄥ2" - ], - "𣊺": [ - "ㄒㄧㄢ2" - ], - "𣋄": [ - "ㄊㄨㄣ1" - ], - "𣋉": [ - "ㄩ4" - ], - "𣋊": [ - "ㄉㄢ4" - ], - "𣋋": [ - "ㄧㄥ4" - ], - "𣋍": [ - "ㄓㄠ1" - ], - "𣋏": [ - "ㄆㄨ4" - ], - "𣋘": [ - "ㄏㄨㄟ4" - ], - "𣋞": [ - "ㄞ4" - ], - "𣋟": [ - "ㄇㄛ3" - ], - "𣋢": [ - "ㄐㄧㄥ1" - ], - "𣋣": [ - "ㄌㄢ2" - ], - "𣋲": [ - "ㄌㄧㄝ4" - ], - "𣋳": [ - "ㄆㄧㄠ3", - "ㄅㄠ4" - ], - "𣋵": [ - "ㄅㄛ2" - ], - "𣋶": [ - "ㄑㄩㄥ2" - ], - "𣋹": [ - "ㄅㄧ4" - ], - "𣋿": [ - "ㄩㄥ1" - ], - "𣌅": [ - "ㄌㄧ4" - ], - "𣌍": [ - "ㄋㄧㄝ4" - ], - "𣌏": [ - "ㄉㄜ2" - ], - "𣌓": [ - "ㄏㄨㄢ1" - ], - "𣌗": [ - "ㄩㄝ4" - ], - "𣌚": [ - "ㄔㄨㄣ1" - ], - "𣌜": [ - "ㄌㄧ4" - ], - "𣌞": [ - "ㄓㄤ1" - ], - "𣌟": [ - "ㄌㄧㄥ2" - ], - "𣌠": [ - "ㄔㄨㄣ2" - ], - "𣌧": [ - "ㄘㄜ4" - ], - "𣌨": [ - "ㄒㄩㄣ2" - ], - "𣌬": [ - "ㄐㄩ3" - ], - "𣌭": [ - "ㄏㄨㄟ5", - "ㄉㄚ2" - ], - "𣌾": [ - "ㄊㄨㄥ1" - ], - "𣍆": [ - "ㄋㄧㄥ2" - ], - "𣍇": [ - "ㄐㄩ4" - ], - "𣍏": [ - "ㄔㄚ4" - ], - "𣍖": [ - "ㄗㄠ1" - ], - "𣍛": [ - "ㄩ4" - ], - "𣍟": [ - "ㄎㄣ3", - "ㄨㄟ3" - ], - "𣍦": [ - "ㄎㄨㄤ4" - ], - "𣍧": [ - "ㄈㄟ3" - ], - "𣍯": [ - "ㄩㄣ4" - ], - "𣍰": [ - "ㄑㄧㄢ3" - ], - "𣍴": [ - "ㄑㄩㄢ2" - ], - "𣍸": [ - "ㄆㄛ4" - ], - "𣍺": [ - "ㄆㄟ3" - ], - "𣎄": [ - "ㄍㄥ4" - ], - "𣎅": [ - "ㄧ4", - "ㄏㄨㄢ1" - ], - "𣎆": [ - "ㄌㄨㄛ4" - ], - "𣎑": [ - "ㄎㄨㄢ1" - ], - "𣎓": [ - "ㄒㄩㄢ3" - ], - "𣎔": [ - "ㄋㄧㄢ4" - ], - "𣎚": [ - "ㄏㄨ2" - ], - "𣎛": [ - "ㄐㄩ2", - "ㄒㄩㄝ4" - ], - "𣎩": [ - "ㄧㄝ4" - ], - "𣎮": [ - "ㄒㄧ1" - ], - "𣎱": [ - "ㄩㄝ4" - ], - "𣎲": [ - "ㄊㄤ3" - ], - "𣎳": [ - "ㄆㄧㄣ4" - ], - "𣎴": [ - "ㄉㄨㄣ3", - "ㄜ4", - "ㄞ4" - ], - "𣎵": [ - "ㄅㄟ4", - "ㄆㄛ1" - ], - "𣎸": [ - "ㄌㄧㄠ3" - ], - "𣏀": [ - "ㄩㄥ3" - ], - "𣏎": [ - "ㄧㄚ1" - ], - "𣏑": [ - "ㄐㄧㄠ3" - ], - "𣏔": [ - "ㄎㄨㄣ4", - "ㄎㄨㄣ3" - ], - "𣏖": [ - "ㄓㄣ4" - ], - "𣏗": [ - "ㄕㄨ4" - ], - "𣏚": [ - "ㄕ2" - ], - "𣏞": [ - "ㄧㄡ2" - ], - "𣏟": [ - "ㄆㄞ4" - ], - "𣏠": [ - "ㄒㄧㄠ2" - ], - "𣏡": [ - "ㄐㄧ2" - ], - "𣏶": [ - "ㄑㄧ1" - ], - "𣏷": [ - "ㄏㄜ2" - ], - "𣏺": [ - "ㄎㄨㄥ3" - ], - "𣐂": [ - "ㄧㄝ4" - ], - "𣐃": [ - "ㄔ4" - ], - "𣐊": [ - "ㄎㄠ3", - "ㄐㄩ2" - ], - "𣐋": [ - "ㄩㄝ4" - ], - "𣐎": [ - "ㄨㄚ3" - ], - "𣐏": [ - "ㄋㄧㄢ3" - ], - "𣐑": [ - "ㄘ2" - ], - "𣐓": [ - "ㄧ2" - ], - "𣐤": [ - "ㄐㄧㄡ5" - ], - "𣐫": [ - "ㄧㄤ1" - ], - "𣐬": [ - "ㄌㄧ2" - ], - "𣐮": [ - "ㄉㄞ1" - ], - "𣐯": [ - "ㄔㄨㄥ2" - ], - "𣐵": [ - "ㄧ2" - ], - "𣐺": [ - "ㄏㄢ4" - ], - "𣐿": [ - "ㄧ1" - ], - "𣑁": [ - "ㄔㄨㄥ4" - ], - "𣑂": [ - "ㄏㄨ4" - ], - "𣑃": [ - "ㄓㄨㄚ3" - ], - "𣑦": [ - "ㄑㄩㄥ2" - ], - "𣑧": [ - "ㄉㄨㄛ4" - ], - "𣑸": [ - "ㄊㄨㄥ2" - ], - "𣑹": [ - "ㄒㄧㄢ1" - ], - "𣑿": [ - "ㄈㄨ2" - ], - "𣒂": [ - "ㄉㄧㄢ4" - ], - "𣒃": [ - "ㄒㄧ2" - ], - "𣒄": [ - "ㄒㄧㄝ1" - ], - "𣒅": [ - "ㄓㄣ4" - ], - "𣒆": [ - "ㄑㄧㄠ4" - ], - "𣒇": [ - "ㄊㄨ1" - ], - "𣒷": [ - "ㄏㄢ4" - ], - "𣒸": [ - "ㄎㄨㄤ4" - ], - "𣒹": [ - "ㄙㄨㄛ1" - ], - "𣒻": [ - "ㄕㄡ4" - ], - "𣒼": [ - "ㄊㄧㄠ2" - ], - "𣓀": [ - "ㄓㄣ1", - "ㄓㄣ3" - ], - "𣓃": [ - "ㄋㄟ4" - ], - "𣓅": [ - "ㄑㄧㄢ3" - ], - "𣓆": [ - "ㄧㄣ2" - ], - "𣓈": [ - "ㄌㄧㄤ3" - ], - "𣓉": [ - "ㄕㄚ4", - "ㄐㄧㄝ2" - ], - "𣓊": [ - "ㄗ4" - ], - "𣓋": [ - "ㄆㄧ2" - ], - "𣓌": [ - "ㄍㄠ1", - "ㄐㄩ2" - ], - "𣓏": [ - "ㄐㄧㄣ4" - ], - "𣓐": [ - "ㄧㄡ2" - ], - "𣓒": [ - "ㄕㄢ4" - ], - "𣓔": [ - "ㄇㄧ4" - ], - "𣓕": [ - "ㄡ4" - ], - "𣓗": [ - "ㄏㄨ1" - ], - "𣓛": [ - "ㄧㄡ4" - ], - "𣓝": [ - "ㄇㄥ3" - ], - "𣔐": [ - "ㄓ3" - ], - "𣔓": [ - "ㄅㄧ3" - ], - "𣔗": [ - "ㄕㄣ1" - ], - "𣔘": [ - "ㄑㄧ4" - ], - "𣔙": [ - "ㄒㄧㄢ1" - ], - "𣔚": [ - "ㄆㄢ2" - ], - "𣔛": [ - "ㄎㄤ3" - ], - "𣔫": [ - "ㄕㄨㄢ1" - ], - "𣔬": [ - "ㄆㄧ2" - ], - "𣔮": [ - "ㄗㄞ1" - ], - "𣔯": [ - "ㄓㄨ3" - ], - "𣔱": [ - "ㄙㄡ1", - "ㄙㄠ1" - ], - "𣔲": [ - "ㄐㄩㄥ3" - ], - "𣔵": [ - "ㄔㄢ2" - ], - "𣔶": [ - "ㄈㄢ2", - "ㄈㄢ4" - ], - "𣔷": [ - "ㄒㄧㄠ2" - ], - "𣔸": [ - "ㄧㄣ3" - ], - "𣔹": [ - "ㄏㄡ2" - ], - "𣔺": [ - "ㄇㄠ4" - ], - "𣔻": [ - "ㄊㄨ2", - "ㄔㄢ2" - ], - "𣔼": [ - "ㄍㄢ1" - ], - "𣔽": [ - "ㄐㄧ4" - ], - "𣕁": [ - "ㄧ2" - ], - "𣕃": [ - "ㄩ4" - ], - "𣕄": [ - "ㄐㄩㄥ1" - ], - "𣕅": [ - "ㄆㄠ4" - ], - "𣕇": [ - "ㄒㄧㄠ1" - ], - "𣕉": [ - "ㄍㄡ3" - ], - "𣕌": [ - "ㄍㄡ1" - ], - "𣕍": [ - "ㄙㄨㄣ3" - ], - "𣕎": [ - "ㄒㄧㄢ3" - ], - "𣕏": [ - "ㄓㄨㄢ3" - ], - "𣕾": [ - "ㄔㄡ2", - "ㄅㄧ4" - ], - "𣖄": [ - "ㄑㄧㄠ1" - ], - "𣖅": [ - "ㄊㄧ2" - ], - "𣖆": [ - "ㄩㄣ2" - ], - "𣖉": [ - "ㄕㄢ1" - ], - "𣖊": [ - "ㄌㄧㄝ4", - "ㄌㄧ4" - ], - "𣖌": [ - "ㄓ3" - ], - "𣖐": [ - "ㄆㄞ1" - ], - "𣖣": [ - "ㄐㄩ2" - ], - "𣖤": [ - "ㄌㄞ2" - ], - "𣖨": [ - "ㄗ3" - ], - "𣖪": [ - "ㄑㄩ2" - ], - "𣖫": [ - "ㄍㄨ3", - "ㄑㄩㄝ4" - ], - "𣖬": [ - "ㄐㄩㄝ2" - ], - "𣖭": [ - "ㄓ2" - ], - "𣖮": [ - "ㄤ4" - ], - "𣖯": [ - "ㄑㄧㄣ4" - ], - "𣖰": [ - "ㄆㄧ2" - ], - "𣖱": [ - "ㄗㄨㄟ1" - ], - "𣖳": [ - "ㄑㄧㄢ2" - ], - "𣖵": [ - "ㄘㄨㄛ2" - ], - "𣖷": [ - "ㄐㄧ2" - ], - "𣖸": [ - "ㄊㄧ2" - ], - "𣖹": [ - "ㄖㄨ2" - ], - "𣖻": [ - "ㄏㄞ3" - ], - "𣖼": [ - "ㄒㄩㄣ2" - ], - "𣖾": [ - "ㄅㄟ4" - ], - "𣖿": [ - "ㄓ2" - ], - "𣗁": [ - "ㄉㄨㄣ4", - "ㄗㄚ1" - ], - "𣗋": [ - "ㄉㄤ3" - ], - "𣗐": [ - "ㄖㄥ2" - ], - "𣗲": [ - "ㄍㄢ1" - ], - "𣗵": [ - "ㄍㄤ4", - "ㄍㄤ1" - ], - "𣗶": [ - "ㄊㄚ4" - ], - "𣗸": [ - "ㄊㄨㄛ4" - ], - "𣗹": [ - "ㄧㄤ4" - ], - "𣗺": [ - "ㄎㄨ1" - ], - "𣗻": [ - "ㄓ4" - ], - "𣘖": [ - "ㄐㄧㄢ1" - ], - "𣘗": [ - "ㄋㄧ4" - ], - "𣘘": [ - "ㄕㄣ1", - "ㄓㄣ1" - ], - "𣘙": [ - "ㄅㄤ4" - ], - "𣘚": [ - "ㄕㄨㄞ4" - ], - "𣘛": [ - "ㄉㄡ1" - ], - "𣘝": [ - "ㄑㄧㄢ1" - ], - "𣘞": [ - "ㄏㄢ2" - ], - "𣘟": [ - "ㄑㄧㄚ1" - ], - "𣘠": [ - "ㄍㄢ3" - ], - "𣘣": [ - "ㄔㄨㄣ2" - ], - "𣘤": [ - "ㄔㄚ2", - "ㄙㄚ4" - ], - "𣘥": [ - "ㄅㄧ4" - ], - "𣘦": [ - "ㄧ1" - ], - "𣘧": [ - "ㄈㄨ1" - ], - "𣘨": [ - "ㄜ3", - "ㄜ1" - ], - "𣘪": [ - "ㄌㄠ2" - ], - "𣘫": [ - "ㄏㄠ2" - ], - "𣘬": [ - "ㄌㄧ2" - ], - "𣘱": [ - "ㄊㄜ4" - ], - "𣘲": [ - "ㄕㄣ1" - ], - "𣘴": [ - "ㄧㄣ2" - ], - "𣘷": [ - "ㄐㄧㄢ1" - ], - "𣘻": [ - "ㄔㄚ2", - "ㄊㄨ2" - ], - "𣙗": [ - "ㄋㄧㄝ4" - ], - "𣙘": [ - "ㄘㄡ4" - ], - "𣙛": [ - "ㄧ2" - ], - "𣙟": [ - "ㄊㄤ2" - ], - "𣙢": [ - "ㄐㄩㄢ4" - ], - "𣙰": [ - "ㄔ4" - ], - "𣙱": [ - "ㄍㄡ3" - ], - "𣙴": [ - "ㄐㄧㄝ2" - ], - "𣙵": [ - "ㄓㄜ2" - ], - "𣙶": [ - "ㄏㄨ2" - ], - "𣙷": [ - "ㄇㄤ2" - ], - "𣙻": [ - "ㄗㄡ1" - ], - "𣙼": [ - "ㄙ4", - "ㄘ2" - ], - "𣙿": [ - "ㄈㄟ4" - ], - "𣚀": [ - "ㄗ1" - ], - "𣚁": [ - "ㄗ1" - ], - "𣚃": [ - "ㄐㄧㄝ2" - ], - "𣚄": [ - "ㄙ1" - ], - "𣚆": [ - "ㄔㄨㄣ1" - ], - "𣚇": [ - "ㄆㄠ4" - ], - "𣚋": [ - "ㄧㄝ2" - ], - "𣚌": [ - "ㄉㄧ1", - "ㄕ4" - ], - "𣚎": [ - "ㄌㄟ2" - ], - "𣚏": [ - "ㄒㄩ1" - ], - "𣚐": [ - "ㄖㄨ2" - ], - "𣚒": [ - "ㄆㄚ2" - ], - "𣚓": [ - "ㄐㄩㄢ4" - ], - "𣚔": [ - "ㄒㄧ4" - ], - "𣚕": [ - "ㄧㄝ4", - "ㄧㄢ3" - ], - "𣚖": [ - "ㄢ1" - ], - "𣚘": [ - "ㄧ4" - ], - "𣚙": [ - "ㄐㄧㄢ1", - "ㄐㄧㄢ4" - ], - "𣚜": [ - "ㄙㄨㄥ1" - ], - "𣚝": [ - "ㄨㄛ3" - ], - "𣚟": [ - "ㄙㄜ4" - ], - "𣚠": [ - "ㄓ3" - ], - "𣚡": [ - "ㄅㄧ1" - ], - "𣚢": [ - "ㄓㄨㄢ4" - ], - "𣚦": [ - "ㄐㄧㄤ4" - ], - "𣚧": [ - "ㄏㄠ4" - ], - "𣚩": [ - "ㄔ4" - ], - "𣚪": [ - "ㄉㄨㄣ4" - ], - "𣛓": [ - "ㄅㄛ2" - ], - "𣛔": [ - "ㄐㄧ2" - ], - "𣛕": [ - "ㄔㄨㄚ3" - ], - "𣛗": [ - "ㄌㄨㄛ4" - ], - "𣛚": [ - "ㄖㄨㄟ3" - ], - "𣛫": [ - "ㄏㄨ2" - ], - "𣛱": [ - "ㄉㄢ4", - "ㄌㄢ3" - ], - "𣛴": [ - "ㄏㄢ3" - ], - "𣛵": [ - "ㄑㄩㄝ4" - ], - "𣛶": [ - "ㄕㄚ1" - ], - "𣛷": [ - "ㄓㄢ3" - ], - "𣛸": [ - "ㄗㄜ2" - ], - "𣛹": [ - "ㄔㄨㄢ2", - "ㄔㄨㄞ3" - ], - "𣛺": [ - "ㄑㄧ1" - ], - "𣛻": [ - "ㄉㄧㄝ2" - ], - "𣛽": [ - "ㄓㄚ4" - ], - "𣛾": [ - "ㄊㄡ4" - ], - "𣜁": [ - "ㄘ1" - ], - "𣜂": [ - "ㄙㄚ4" - ], - "𣜄": [ - "ㄌㄨㄛ2" - ], - "𣜇": [ - "ㄐㄧ2" - ], - "𣜢": [ - "ㄌㄨㄛ3" - ], - "𣜣": [ - "ㄑㄧㄣ2" - ], - "𣜧": [ - "ㄑㄩㄥ2" - ], - "𣜨": [ - "ㄐㄩㄢ4" - ], - "𣜬": [ - "ㄞ4" - ], - "𣜭": [ - "ㄐㄧㄢ3" - ], - "𣜹": [ - "ㄊㄧ4" - ], - "𣜺": [ - "ㄨㄣ2" - ], - "𣜽": [ - "ㄑㄧㄠ1" - ], - "𣝁": [ - "ㄆㄞ2", - "ㄅㄟ1" - ], - "𣝂": [ - "ㄏㄨㄣ2" - ], - "𣝅": [ - "ㄞ4" - ], - "𣝇": [ - "ㄕㄨㄛ4" - ], - "𣝈": [ - "ㄌㄧㄢ2" - ], - "𣝉": [ - "ㄉㄨㄟ4" - ], - "𣝋": [ - "ㄊㄚ4" - ], - "𣝌": [ - "ㄐㄧㄣ3" - ], - "𣝍": [ - "ㄅㄧ4" - ], - "𣝎": [ - "ㄧㄢ3" - ], - "𣝏": [ - "ㄍㄠ4" - ], - "𣝐": [ - "ㄆㄧㄠ2" - ], - "𣝑": [ - "ㄩ4", - "ㄩ2" - ], - "𣝒": [ - "ㄕㄜ4" - ], - "𣝕": [ - "ㄐㄧㄢ1" - ], - "𣝗": [ - "ㄏㄨ2" - ], - "𣝚": [ - "ㄌㄧㄝ4" - ], - "𣝜": [ - "ㄅㄧㄢ4" - ], - "𣝝": [ - "ㄙㄨ4" - ], - "𣝞": [ - "ㄐㄧㄠ1" - ], - "𣝸": [ - "ㄓㄨㄟ4" - ], - "𣝽": [ - "ㄏㄢ1" - ], - "𣞇": [ - "ㄉㄨㄣ4" - ], - "𣞐": [ - "ㄒㄧㄝ3" - ], - "𣞑": [ - "ㄇㄥ2" - ], - "𣞒": [ - "ㄈㄨ1" - ], - "𣞓": [ - "ㄌㄨ4" - ], - "𣞔": [ - "ㄊㄢ4" - ], - "𣞗": [ - "ㄌㄧㄡ2" - ], - "𣞘": [ - "ㄒㄧㄢ1" - ], - "𣞙": [ - "ㄙㄤ3" - ], - "𣞜": [ - "ㄘㄡ4" - ], - "𣞝": [ - "ㄓㄨㄤ1" - ], - "𣞟": [ - "ㄔㄣ1" - ], - "𣞰": [ - "ㄌㄧㄢ4" - ], - "𣞴": [ - "ㄌㄧ2" - ], - "𣟀": [ - "ㄆㄥ4" - ], - "𣟁": [ - "ㄊㄨㄛ3" - ], - "𣟄": [ - "ㄊㄨㄛ4" - ], - "𣟆": [ - "ㄌㄧㄠ2" - ], - "𣟇": [ - "ㄒㄧㄠ4" - ], - "𣟈": [ - "ㄔㄨㄟ4" - ], - "𣟉": [ - "ㄏㄨㄞ4" - ], - "𣟊": [ - "ㄋㄧㄠ3" - ], - "𣟋": [ - "ㄑㄧㄢ1" - ], - "𣟌": [ - "ㄌㄧ4" - ], - "𣟏": [ - "ㄆㄠ1" - ], - "𣟐": [ - "ㄊㄧㄠ2" - ], - "𣟑": [ - "ㄌㄧㄡ2" - ], - "𣟒": [ - "ㄨ2" - ], - "𣟤": [ - "ㄧㄥ3" - ], - "𣟦": [ - "ㄓㄚ2" - ], - "𣟰": [ - "ㄩ2" - ], - "𣟲": [ - "ㄒㄧㄢ3" - ], - "𣟳": [ - "ㄒㄩㄢ2" - ], - "𣟴": [ - "ㄕㄨㄢ1" - ], - "𣟵": [ - "ㄒㄧ1" - ], - "𣟸": [ - "ㄇㄟ2" - ], - "𣟹": [ - "ㄙㄣ1" - ], - "𣟺": [ - "ㄌㄧㄢ4" - ], - "𣟼": [ - "ㄐㄧㄡ1", - "ㄑㄧㄠ1" - ], - "𣟽": [ - "ㄌㄠ4" - ], - "𣠎": [ - "ㄒㄧㄠ1" - ], - "𣠏": [ - "ㄗㄡ1" - ], - "𣠚": [ - "ㄌㄧㄡ2" - ], - "𣠜": [ - "ㄓㄠ4" - ], - "𣠞": [ - "ㄓㄜ2", - "ㄕㄜ4" - ], - "𣠠": [ - "ㄌㄟ3" - ], - "𣠭": [ - "ㄉㄨㄢ3" - ], - "𣠷": [ - "ㄐㄧㄢ3" - ], - "𣠸": [ - "ㄕㄨㄢ1" - ], - "𣠹": [ - "ㄗㄨㄛ2" - ], - "𣠺": [ - "ㄑㄧㄝ4" - ], - "𣠼": [ - "ㄌㄠ3" - ], - "𣡉": [ - "ㄩ4" - ], - "𣡊": [ - "ㄧ4" - ], - "𣡋": [ - "ㄋㄧ3" - ], - "𣡎": [ - "ㄘㄣ2" - ], - "𣡕": [ - "ㄧㄢ4" - ], - "𣡗": [ - "ㄖㄨㄢ3" - ], - "𣡞": [ - "ㄧㄢ2" - ], - "𣡟": [ - "ㄉㄧㄝ2" - ], - "𣡠": [ - "ㄇㄧㄢ2" - ], - "𣡧": [ - "ㄌㄟ2" - ], - "𣡩": [ - "ㄨㄢ1" - ], - "𣡰": [ - "ㄋㄚ3" - ], - "𣡶": [ - "ㄧㄢ2" - ], - "𣡺": [ - "ㄌㄟ3" - ], - "𣡽": [ - "ㄕㄚ1" - ], - "𣡾": [ - "ㄏㄨ1" - ], - "𣢁": [ - "ㄒㄧ1" - ], - "𣢂": [ - "ㄒㄧ1" - ], - "𣢄": [ - "ㄧㄡ3", - "ㄧㄡ1" - ], - "𣢅": [ - "ㄏㄢ1" - ], - "𣢇": [ - "ㄏㄞ1", - "ㄒㄧ1" - ], - "𣢉": [ - "ㄨㄚ1" - ], - "𣢊": [ - "ㄒㄩ4" - ], - "𣢋": [ - "ㄆㄧ1" - ], - "𣢌": [ - "ㄊㄢ1" - ], - "𣢍": [ - "ㄒㄧ1" - ], - "𣢎": [ - "ㄒㄧ1" - ], - "𣢏": [ - "ㄅㄧㄣ1" - ], - "𣢐": [ - "ㄑㄧㄣ1", - "ㄎㄥ1" - ], - "𣢑": [ - "ㄒㄧ1" - ], - "𣢒": [ - "ㄩ2" - ], - "𣢓": [ - "ㄒㄧ4" - ], - "𣢕": [ - "ㄘ4" - ], - "𣢖": [ - "ㄑㄧㄢ4" - ], - "𣢗": [ - "ㄒㄧㄚ1" - ], - "𣢚": [ - "ㄨㄚ2" - ], - "𣢛": [ - "ㄜ4" - ], - "𣢜": [ - "ㄧㄡ3", - "ㄧㄡ1" - ], - "𣢝": [ - "ㄒㄧㄥ4" - ], - "𣢞": [ - "ㄋㄧ2" - ], - "𣢟": [ - "ㄏㄢ2", - "ㄒㄧㄢ2" - ], - "𣢠": [ - "ㄅㄧ4" - ], - "𣢡": [ - "ㄕㄥ1" - ], - "𣢤": [ - "ㄓㄢ1" - ], - "𣢥": [ - "ㄉㄧㄢ4" - ], - "𣢦": [ - "ㄩ3" - ], - "𣢨": [ - "ㄡ3" - ], - "𣢪": [ - "ㄍㄨㄟ3" - ], - "𣢫": [ - "ㄨㄤ3", - "ㄨㄤ1" - ], - "𣢬": [ - "ㄑㄧㄢ1" - ], - "𣢭": [ - "ㄧ2" - ], - "𣢰": [ - "ㄗㄨ2" - ], - "𣢲": [ - "ㄑㄧㄢ1" - ], - "𣢳": [ - "ㄉㄧㄥ4" - ], - "𣢴": [ - "ㄎㄥ1" - ], - "𣢶": [ - "ㄔㄨ4" - ], - "𣢷": [ - "ㄧ1" - ], - "𣢺": [ - "ㄏㄢ1" - ], - "𣢻": [ - "ㄎㄨㄢ3" - ], - "𣣈": [ - "ㄉㄧㄢ4" - ], - "𣣉": [ - "ㄒㄧ4" - ], - "𣣊": [ - "ㄗ1" - ], - "𣣋": [ - "ㄌㄧㄥ2" - ], - "𣣌": [ - "ㄗ4", - "ㄙ4" - ], - "𣣎": [ - "ㄩ4" - ], - "𣣏": [ - "ㄏㄨㄣ1" - ], - "𣣑": [ - "ㄙ3" - ], - "𣣒": [ - "ㄎㄢ3" - ], - "𣣚": [ - "ㄢ4" - ], - "𣣜": [ - "ㄧㄡ3" - ], - "𣣝": [ - "ㄐㄧ2" - ], - "𣣞": [ - "ㄏㄨㄣ4" - ], - "𣣟": [ - "ㄑㄧㄚ1" - ], - "𣣠": [ - "ㄏㄡ2" - ], - "𣣡": [ - "ㄏㄡ2" - ], - "𣣣": [ - "ㄉㄧㄢ4" - ], - "𣣩": [ - "ㄒㄧㄝ1" - ], - "𣣭": [ - "ㄕㄜ4" - ], - "𣣮": [ - "ㄕㄚ4" - ], - "𣣲": [ - "ㄒㄧㄝ2" - ], - "𣣳": [ - "ㄧㄠ2", - "ㄧㄠ3" - ], - "𣣴": [ - "ㄉㄚ4" - ], - "𣣶": [ - "ㄒㄧㄝ4" - ], - "𣣷": [ - "ㄔ1" - ], - "𣣸": [ - "ㄧㄡ3" - ], - "𣣹": [ - "ㄏㄜ1" - ], - "𣣺": [ - "ㄕㄚ4" - ], - "𣣿": [ - "ㄊㄞ2" - ], - "𣤁": [ - "ㄓㄨ2" - ], - "𣤃": [ - "ㄞ3" - ], - "𣤇": [ - "ㄑㄩㄝ4" - ], - "𣤈": [ - "ㄗㄜ2" - ], - "𣤊": [ - "ㄌㄚ1" - ], - "𣤋": [ - "ㄌㄡ4" - ], - "𣤌": [ - "ㄔㄨㄞ4", - "ㄔ3", - "ㄔㄨㄛ4" - ], - "𣤎": [ - "ㄧㄡ3" - ], - "𣤖": [ - "ㄊㄧ4" - ], - "𣤘": [ - "ㄕ1" - ], - "𣤡": [ - "ㄒㄧㄠ4", - "ㄧㄡ3" - ], - "𣤢": [ - "ㄒㄧ4" - ], - "𣤨": [ - "ㄏㄨㄛ4" - ], - "𣤩": [ - "ㄔ4" - ], - "𣤪": [ - "ㄧ4" - ], - "𣤯": [ - "ㄕㄨ2" - ], - "𣤰": [ - "ㄩㄝ4" - ], - "𣤱": [ - "ㄔㄢ2" - ], - "𣤲": [ - "ㄜ4" - ], - "𣤳": [ - "ㄒㄧ1" - ], - "𣤴": [ - "ㄒㄧ1" - ], - "𣤵": [ - "ㄧㄥ3" - ], - "𣤶": [ - "ㄗㄨ2", - "ㄗㄚ1", - "ㄗㄢ3" - ], - "𣤷": [ - "ㄗㄚ1" - ], - "𣤺": [ - "ㄗㄚ1" - ], - "𣥂": [ - "ㄊㄚ4" - ], - "𣥃": [ - "ㄨㄢ4" - ], - "𣥇": [ - "ㄒㄧㄣ4" - ], - "𣥊": [ - "ㄨㄤ4" - ], - "𣥋": [ - "ㄈㄨ3" - ], - "𣥐": [ - "ㄌㄨ3", - "ㄌㄩ3" - ], - "𣥞": [ - "ㄐㄧㄢ3" - ], - "𣥡": [ - "ㄧㄢ2" - ], - "𣥣": [ - "ㄅㄧ4" - ], - "𣥤": [ - "ㄎㄣ3" - ], - "𣥥": [ - "ㄍㄨㄢ4" - ], - "𣥨": [ - "ㄗ1" - ], - "𣥮": [ - "ㄎㄨㄟ3" - ], - "𣥯": [ - "ㄓㄡ3" - ], - "𣥰": [ - "ㄓ4" - ], - "𣥳": [ - "ㄊㄨ2" - ], - "𣥷": [ - "ㄊㄚ4" - ], - "𣥹": [ - "ㄔㄨ4" - ], - "𣥺": [ - "ㄔㄥ1" - ], - "𣥻": [ - "ㄔㄥ3" - ], - "𣥼": [ - "ㄓㄨ4" - ], - "𣥾": [ - "ㄉㄚ4" - ], - "𣦇": [ - "ㄅㄧ4" - ], - "𣦉": [ - "ㄐㄧㄚ3" - ], - "𣦌": [ - "ㄧ4" - ], - "𣦏": [ - "ㄩㄝ4" - ], - "𣦐": [ - "ㄍㄤ1" - ], - "𣦖": [ - "ㄍㄢ1" - ], - "𣦜": [ - "ㄑㄧㄠ1" - ], - "𣦠": [ - "ㄔㄨ2" - ], - "𣦡": [ - "ㄔㄨ2" - ], - "𣦢": [ - "ㄅㄧ4" - ], - "𣦦": [ - "ㄍㄨㄟ4" - ], - "𣦩": [ - "ㄍㄨ3" - ], - "𣦪": [ - "ㄅㄧㄥ3" - ], - "𣦫": [ - "ㄧㄣ4" - ], - "𣦬": [ - "ㄓㄨㄟ4" - ], - "𣦭": [ - "ㄍㄨ3" - ], - "𣦯": [ - "ㄌㄧ4" - ], - "𣦵": [ - "ㄜ4", - "ㄓㄣ1" - ], - "𣦶": [ - "ㄉㄞ3" - ], - "𣦼": [ - "ㄘㄢ2" - ], - "𣧂": [ - "ㄊㄧ4" - ], - "𣧃": [ - "ㄉㄨ4" - ], - "𣧄": [ - "ㄧ4" - ], - "𣧈": [ - "ㄉㄧㄝ2" - ], - "𣧊": [ - "ㄋㄧㄡ3" - ], - "𣧌": [ - "ㄒㄩㄝ4" - ], - "𣧍": [ - "ㄋㄜ4" - ], - "𣧎": [ - "ㄍㄨㄟ4" - ], - "𣧏": [ - "ㄎㄠ3" - ], - "𣧒": [ - "ㄔㄨㄢ3", - "ㄇㄛ4" - ], - "𣧖": [ - "ㄓㄚ2" - ], - "𣧗": [ - "ㄧㄡ2" - ], - "𣧙": [ - "ㄅㄞ4" - ], - "𣧚": [ - "ㄕ2" - ], - "𣧛": [ - "ㄉㄧㄢ4" - ], - "𣧜": [ - "ㄆㄚ1" - ], - "𣧝": [ - "ㄑㄧㄡ2" - ], - "𣧡": [ - "ㄒㄩㄝ4" - ], - "𣧣": [ - "ㄇㄛ4" - ], - "𣧤": [ - "ㄎㄜ1" - ], - "𣧥": [ - "ㄧㄡ3" - ], - "𣧦": [ - "ㄐㄧㄠ3" - ], - "𣧧": [ - "ㄅㄛ2" - ], - "𣧬": [ - "ㄒㄧㄡ3" - ], - "𣧲": [ - "ㄇㄧ3" - ], - "𣧳": [ - "ㄌㄨㄛ4" - ], - "𣧵": [ - "ㄒㄩㄝ4", - "ㄒㄩ4" - ], - "𣧷": [ - "ㄉㄨㄛ4" - ], - "𣧹": [ - "ㄦ4" - ], - "𣧺": [ - "ㄕㄢ1" - ], - "𣧼": [ - "ㄎㄨㄟ4" - ], - "𣧽": [ - "ㄋㄠ4" - ], - "𣧾": [ - "ㄇㄧㄢ3" - ], - "𣧿": [ - "ㄌㄧ4" - ], - "𣨀": [ - "ㄌㄨㄢ4" - ], - "𣨂": [ - "ㄉㄧㄝ2" - ], - "𣨄": [ - "ㄑㄧㄚ4" - ], - "𣨅": [ - "ㄌㄟ4" - ], - "𣨇": [ - "ㄇㄠ4" - ], - "𣨉": [ - "ㄏㄥ1" - ], - "𣨊": [ - "ㄔㄜ4" - ], - "𣨋": [ - "ㄓ4" - ], - "𣨍": [ - "ㄍㄨ3" - ], - "𣨎": [ - "ㄘㄨㄛ1" - ], - "𣨓": [ - "ㄨ4" - ], - "𣨔": [ - "ㄊㄠ4" - ], - "𣨗": [ - "ㄒㄧ1" - ], - "𣨘": [ - "ㄧㄠ1" - ], - "𣨙": [ - "ㄨㄟ3", - "ㄨㄟ4" - ], - "𣨛": [ - "ㄗㄨ2" - ], - "𣨜": [ - "ㄇㄚ4" - ], - "𣨝": [ - "ㄩ3" - ], - "𣨞": [ - "ㄆㄥ3" - ], - "𣨟": [ - "ㄧ4" - ], - "𣨠": [ - "ㄑㄧㄣ4", - "ㄑㄧㄣ1" - ], - "𣨡": [ - "ㄩㄝ4" - ], - "𣨢": [ - "ㄐㄩㄝ4" - ], - "𣨣": [ - "ㄐㄧㄤ4" - ], - "𣨤": [ - "ㄒㄩ4" - ], - "𣨥": [ - "ㄅㄥ1" - ], - "𣨪": [ - "ㄌㄨㄛ3" - ], - "𣨫": [ - "ㄓㄨㄟ1" - ], - "𣨲": [ - "ㄉㄨ4" - ], - "𣨳": [ - "ㄒㄧㄤ4" - ], - "𣨶": [ - "ㄏㄨㄟ4" - ], - "𣨺": [ - "ㄍㄨ3" - ], - "𣨻": [ - "ㄎㄠ3" - ], - "𣨾": [ - "ㄒㄧㄥ1" - ], - "𣨿": [ - "ㄏㄨㄣ2" - ], - "𣩀": [ - "ㄅㄧㄢ1" - ], - "𣩄": [ - "ㄎㄜ4", - "ㄞ4" - ], - "𣩅": [ - "ㄎㄠ3" - ], - "𣩈": [ - "ㄘㄨㄛ2", - "ㄗㄨㄛ1" - ], - "𣩏": [ - "ㄌㄨ4" - ], - "𣩑": [ - "ㄗㄨㄟ4" - ], - "𣩒": [ - "ㄗㄠ1" - ], - "𣩓": [ - "ㄐㄧㄠ3" - ], - "𣩔": [ - "ㄍㄨㄢ4" - ], - "𣩙": [ - "ㄧㄢ1" - ], - "𣩚": [ - "ㄦ2" - ], - "𣩜": [ - "ㄑㄧㄥ2" - ], - "𣩟": [ - "ㄉㄥ4" - ], - "𣩠": [ - "ㄙ4" - ], - "𣩡": [ - "ㄙㄨㄟ4" - ], - "𣩢": [ - "ㄌㄧㄠ4" - ], - "𣩧": [ - "ㄕㄢ4" - ], - "𣩩": [ - "ㄅㄧ4" - ], - "𣩪": [ - "ㄨㄟ4" - ], - "𣩫": [ - "ㄧㄝ4" - ], - "𣩭": [ - "ㄓㄞ4" - ], - "𣩯": [ - "ㄧㄝ2" - ], - "𣩰": [ - "ㄉㄧㄠ4" - ], - "𣩱": [ - "ㄞ4", - "ㄎㄜ1" - ], - "𣩴": [ - "ㄐㄧㄤ4" - ], - "𣩷": [ - "ㄙㄨ1" - ], - "𣩹": [ - "ㄏㄨㄞ4" - ], - "𣩺": [ - "ㄩ4" - ], - "𣩽": [ - "ㄖㄤ3" - ], - "𣪀": [ - "ㄉㄧㄢ1" - ], - "𣪁": [ - "ㄗㄨㄢ1" - ], - "𣪂": [ - "ㄅㄢ1" - ], - "𣪄": [ - "ㄑㄧㄣ2" - ], - "𣪇": [ - "ㄐㄧㄚ1" - ], - "𣪉": [ - "ㄆㄧ2" - ], - "𣪌": [ - "ㄊㄡ2", - "ㄉㄨㄟ4" - ], - "𣪐": [ - "ㄔㄡ2" - ], - "𣪕": [ - "ㄍㄨㄟ3" - ], - "𣪠": [ - "ㄐㄧ1", - "ㄐㄧ4", - "ㄑㄧ4" - ], - "𣪨": [ - "ㄒㄩㄝ4" - ], - "𣪪": [ - "ㄉㄧㄢ4" - ], - "𣪭": [ - "ㄅㄧㄢ4" - ], - "𣪮": [ - "ㄗㄞ3" - ], - "𣪯": [ - "ㄊㄨㄥ2" - ], - "𣪶": [ - "ㄕㄢ3" - ], - "𣪸": [ - "ㄍㄨ4" - ], - "𣪹": [ - "ㄑㄩㄝ4" - ], - "𣫀": [ - "ㄍㄨ3" - ], - "𣫈": [ - "ㄏㄨ2" - ], - "𣫉": [ - "ㄎㄨㄞ3" - ], - "𣫌": [ - "ㄍㄡ4" - ], - "𣫎": [ - "ㄙㄨ4" - ], - "𣫐": [ - "ㄔㄡ2" - ], - "𣫒": [ - "ㄎㄥ1" - ], - "𣫔": [ - "ㄉㄨ1" - ], - "𣫙": [ - "ㄧ4" - ], - "𣫜": [ - "ㄉㄠ4" - ], - "𣫝": [ - "ㄑㄧㄤ1" - ], - "𣫣": [ - "ㄌㄨㄥ2" - ], - "𣫥": [ - "ㄌㄧ2" - ], - "𣫧": [ - "ㄌㄧ4" - ], - "𣫨": [ - "ㄑㄧㄥ1" - ], - "𣫪": [ - "ㄨㄟ1" - ], - "𣫬": [ - "ㄇㄡ2" - ], - "𣫱": [ - "ㄑㄧ4" - ], - "𣫳": [ - "ㄐㄧㄤ3" - ], - "𣫴": [ - "ㄒㄧㄝ2" - ], - "𣫹": [ - "ㄉㄞ4" - ], - "𣫻": [ - "ㄌㄡ2" - ], - "𣬂": [ - "ㄍㄨㄢ4" - ], - "𣬆": [ - "ㄆㄟ2" - ], - "𣬉": [ - "ㄆㄧ2" - ], - "𣬋": [ - "ㄐㄩㄢ4", - "ㄔㄨㄛ4" - ], - "𣬍": [ - "ㄅㄟ1" - ], - "𣬎": [ - "ㄐㄩㄝ2" - ], - "𣬏": [ - "ㄐㄩㄢ4" - ], - "𣬐": [ - "ㄕ4" - ], - "𣬕": [ - "ㄒㄧㄝ3" - ], - "𣬘": [ - "ㄖㄨㄟ2" - ], - "𣬙": [ - "ㄐㄧㄥ4" - ], - "𣬚": [ - "ㄆㄛ4" - ], - "𣬛": [ - "ㄙㄢ1", - "ㄕㄢ1" - ], - "𣬠": [ - "ㄐㄧ1" - ], - "𣬩": [ - "ㄈㄣ1" - ], - "𣬪": [ - "ㄅㄟ4" - ], - "𣬫": [ - "ㄐㄧㄝ4", - "ㄍㄚ4" - ], - "𣬬": [ - "ㄙㄚ1" - ], - "𣬮": [ - "ㄆㄧ1" - ], - "𣬴": [ - "ㄉㄧ4" - ], - "𣬵": [ - "ㄇㄠ2", - "ㄇㄠ4" - ], - "𣬶": [ - "ㄅㄚ5" - ], - "𣬷": [ - "ㄅㄚ5" - ], - "𣬸": [ - "ㄊㄧㄠ2" - ], - "𣬹": [ - "ㄌㄧㄥ2" - ], - "𣬺": [ - "ㄕㄥ1" - ], - "𣬻": [ - "ㄓㄣ3" - ], - "𣬼": [ - "ㄆㄧ1" - ], - "𣬽": [ - "ㄨ4" - ], - "𣬿": [ - "ㄗㄜ4" - ], - "𣭀": [ - "ㄅㄠ4" - ], - "𣭇": [ - "ㄌㄩ3" - ], - "𣭖": [ - "ㄏㄠ1" - ], - "𣭗": [ - "ㄉㄡ3" - ], - "𣭘": [ - "ㄈㄨ2" - ], - "𣭙": [ - "ㄋㄧ2" - ], - "𣭝": [ - "ㄍㄜ2" - ], - "𣭠": [ - "ㄖㄨ2" - ], - "𣭡": [ - "ㄒㄧㄢ3" - ], - "𣭤": [ - "ㄅㄧ4" - ], - "𣭮": [ - "ㄇㄠ2" - ], - "𣭲": [ - "ㄖㄨㄥ3" - ], - "𣭳": [ - "ㄑㄧㄡ2", - "ㄑㄩ2" - ], - "𣭷": [ - "ㄅㄛ2" - ], - "𣭹": [ - "ㄏㄠ1" - ], - "𣭺": [ - "ㄋㄠ3" - ], - "𣭻": [ - "ㄧㄢ2" - ], - "𣮃": [ - "ㄆㄠ2" - ], - "𣮄": [ - "ㄙㄨㄟ1" - ], - "𣮆": [ - "ㄊㄨㄛ4" - ], - "𣮈": [ - "ㄑㄩ1" - ], - "𣮉": [ - "ㄌㄧ2" - ], - "𣮊": [ - "ㄉㄜ2" - ], - "𣮌": [ - "ㄐㄧㄝ2" - ], - "𣮍": [ - "ㄐㄧㄝ2" - ], - "𣮎": [ - "ㄍㄨㄣ3" - ], - "𣮏": [ - "ㄐㄧㄢ1" - ], - "𣮐": [ - "ㄅㄧ4" - ], - "𣮠": [ - "ㄙㄢ4" - ], - "𣮡": [ - "ㄅㄤ1" - ], - "𣮢": [ - "ㄔㄨㄣ2" - ], - "𣮦": [ - "ㄋㄞ4" - ], - "𣮧": [ - "ㄅㄤ3" - ], - "𣮪": [ - "ㄖㄨㄥ2" - ], - "𣮫": [ - "ㄐㄧㄚ1" - ], - "𣮬": [ - "ㄙㄡ1" - ], - "𣮰": [ - "ㄉㄜ2" - ], - "𣮾": [ - "ㄒㄧㄢ1" - ], - "𣮿": [ - "ㄓㄢ1" - ], - "𣯀": [ - "ㄇㄠ4" - ], - "𣯃": [ - "ㄗ1" - ], - "𣯅": [ - "ㄐㄧ4" - ], - "𣯆": [ - "ㄑㄧ2" - ], - "𣯋": [ - "ㄖㄨ4" - ], - "𣯌": [ - "ㄙㄨㄛ1" - ], - "𣯍": [ - "ㄖㄨㄥ3" - ], - "𣯎": [ - "ㄨ4" - ], - "𣯏": [ - "ㄖㄨㄥ2", - "ㄖㄨㄥ3" - ], - "𣯐": [ - "ㄖㄨㄥ2" - ], - "𣯚": [ - "ㄊㄚ4" - ], - "𣯜": [ - "ㄙㄡ1" - ], - "𣯤": [ - "ㄌㄧ2" - ], - "𣯧": [ - "ㄘㄨㄟ3", - "ㄙㄨㄟ1" - ], - "𣯨": [ - "ㄗㄨㄥ1" - ], - "𣯩": [ - "ㄇㄣ2" - ], - "𣯪": [ - "ㄒㄧ3" - ], - "𣯬": [ - "ㄇㄤ3" - ], - "𣯭": [ - "ㄋㄧㄝ4" - ], - "𣯯": [ - "ㄙㄨㄟ1" - ], - "𣯱": [ - "ㄆㄟ2" - ], - "𣯴": [ - "ㄅㄧ4" - ], - "𣯵": [ - "ㄉㄧ4" - ], - "𣯸": [ - "ㄑㄩ2" - ], - "𣯹": [ - "ㄑㄧㄠ2" - ], - "𣯻": [ - "ㄈㄣ1" - ], - "𣯼": [ - "ㄙㄨ4" - ], - "𣰃": [ - "ㄒㄩ1" - ], - "𣰇": [ - "ㄖㄨㄥ3" - ], - "𣰈": [ - "ㄐㄧ1" - ], - "𣰋": [ - "ㄑㄩ2" - ], - "𣰌": [ - "ㄌㄧㄝ4", - "ㄏㄜ2" - ], - "𣰕": [ - "ㄙㄠ4" - ], - "𣰘": [ - "ㄎㄨㄣ4" - ], - "𣰚": [ - "ㄘㄨㄟ4" - ], - "𣰛": [ - "ㄧㄝ4" - ], - "𣰜": [ - "ㄅㄧㄥ4" - ], - "𣰞": [ - "ㄐㄧㄝ2" - ], - "𣰠": [ - "ㄑㄩ2" - ], - "𣰡": [ - "ㄑㄩ2" - ], - "𣰥": [ - "ㄇㄥ2" - ], - "𣰦": [ - "ㄖㄢ2", - "ㄍㄢ1" - ], - "𣰨": [ - "ㄅㄧㄣ1" - ], - "𣰩": [ - "ㄔㄠ2" - ], - "𣰬": [ - "ㄉㄨ2" - ], - "𣰶": [ - "ㄖㄤ2", - "ㄋㄤ3" - ], - "𣰷": [ - "ㄒㄧㄢ1" - ], - "𣰺": [ - "ㄊㄠ2" - ], - "𣰻": [ - "ㄑㄩ2" - ], - "𣰼": [ - "ㄋㄧㄝ4" - ], - "𣰿": [ - "ㄕㄨ1" - ], - "𣱀": [ - "ㄌㄨ3" - ], - "𣱂": [ - "ㄎㄨㄣ4" - ], - "𣱈": [ - "ㄇㄧㄣ2" - ], - "𣱉": [ - "ㄇㄧㄣ3" - ], - "𣱍": [ - "ㄉㄢ4" - ], - "𣱐": [ - "ㄧㄣ4", - "ㄓ4" - ], - "𣱓": [ - "ㄒㄧㄠ4", - "ㄏㄠ4" - ], - "𣱗": [ - "ㄐㄧ4" - ], - "𣱜": [ - "ㄧㄣ1" - ], - "𣱦": [ - "ㄈㄣ1" - ], - "𣱧": [ - "ㄓㄨㄥ4" - ], - "𣱫": [ - "ㄍㄨ3" - ], - "𣱱": [ - "ㄔㄚ2" - ], - "𣱳": [ - "ㄌㄧㄡ2" - ], - "𣱶": [ - "ㄅㄨ3" - ], - "𣱺": [ - "ㄆㄚ1" - ], - "𣱻": [ - "ㄙ4" - ], - "𣱼": [ - "ㄉㄠ1" - ], - "𣱽": [ - "ㄓㄣ3" - ], - "𣲀": [ - "ㄕㄢ1" - ], - "𣲂": [ - "ㄔㄨㄞ3" - ], - "𣲄": [ - "ㄐㄧㄡ3" - ], - "𣲊": [ - "ㄎㄜ4" - ], - "𣲋": [ - "ㄔ2" - ], - "𣲑": [ - "ㄏㄨ4", - "ㄔ2", - "ㄏㄜ2", - "ㄏㄨ2" - ], - "𣲒": [ - "ㄌㄧ4", - "ㄌㄜ4" - ], - "𣲓": [ - "ㄕㄚ1" - ], - "𣲖": [ - "ㄆㄞ4", - "ㄌㄧㄡ2", - "ㄍㄨ1" - ], - "𣲗": [ - "ㄨㄟ2" - ], - "𣲘": [ - "ㄨ3" - ], - "𣲜": [ - "ㄧㄥ2" - ], - "𣲡": [ - "ㄕㄚ1", - "ㄐㄧ2", - "ㄐㄧㄝ2" - ], - "𣲢": [ - "ㄉㄧ1" - ], - "𣲥": [ - "ㄉㄢ1" - ], - "𣲱": [ - "ㄊㄨ1" - ], - "𣲲": [ - "ㄏㄜ2" - ], - "𣲳": [ - "ㄆㄛ3" - ], - "𣲵": [ - "ㄓ3" - ], - "𣲶": [ - "ㄋㄧㄡ3" - ], - "𣲷": [ - "ㄋㄧ4" - ], - "𣲽": [ - "ㄖㄨㄥ3" - ], - "𣲾": [ - "ㄍㄨㄞ4" - ], - "𣳀": [ - "ㄓ2" - ], - "𣳃": [ - "ㄐㄧ2" - ], - "𣳜": [ - "ㄈㄢ4" - ], - "𣳟": [ - "ㄐㄧㄝ2" - ], - "𣳠": [ - "ㄏㄞ3", - "ㄇㄨ3" - ], - "𣳤": [ - "ㄓㄢ4" - ], - "𣳦": [ - "ㄒㄧ4", - "ㄋㄠ2" - ], - "𣳩": [ - "ㄗ1" - ], - "𣳬": [ - "ㄒㄧ2" - ], - "𣳭": [ - "ㄆㄧㄠ4" - ], - "𣳰": [ - "ㄅㄣ1" - ], - "𣳲": [ - "ㄐㄧㄢ3" - ], - "𣴓": [ - "ㄐㄧㄢ4" - ], - "𣴖": [ - "ㄗㄚ2" - ], - "𣴞": [ - "ㄅㄣ4" - ], - "𣴟": [ - "ㄇㄠ4", - "ㄏㄨㄢ3" - ], - "𣴢": [ - "ㄗㄠ4" - ], - "𣴣": [ - "ㄓㄨㄤ4" - ], - "𣴥": [ - "ㄎㄨㄤ2" - ], - "𣴨": [ - "ㄅㄧ2" - ], - "𣴪": [ - "ㄆㄞ4", - "ㄆㄧ4" - ], - "𣴼": [ - "ㄇㄠ4" - ], - "𣴽": [ - "ㄊㄢ4" - ], - "𣵞": [ - "ㄊㄨㄣ3" - ], - "𣵟": [ - "ㄌㄨㄛ3" - ], - "𣵢": [ - "ㄊㄢ1" - ], - "𣵱": [ - "ㄢ2" - ], - "𣵷": [ - "ㄏㄢ2", - "ㄍㄢ4" - ], - "𣵸": [ - "ㄓㄨ2" - ], - "𣵺": [ - "ㄉㄨㄛ4", - "ㄊㄨㄛ2" - ], - "𣵻": [ - "ㄉㄨㄛ4", - "ㄊㄨㄛ2" - ], - "𣵼": [ - "ㄍㄢ4" - ], - "𣶆": [ - "ㄑㄩㄥ4" - ], - "𣶈": [ - "ㄨㄤ3", - "ㄇㄤ3" - ], - "𣶊": [ - "ㄇㄛ4" - ], - "𣶋": [ - "ㄓㄜ4" - ], - "𣶌": [ - "ㄨㄣ3" - ], - "𣶍": [ - "ㄓㄨㄤ4" - ], - "𣶏": [ - "ㄐㄧㄝ1", - "ㄉㄧㄝ1" - ], - "𣶐": [ - "ㄆㄠ4" - ], - "𣶘": [ - "ㄙㄨ4" - ], - "𣶝": [ - "ㄐㄩ4" - ], - "𣶠": [ - "ㄑㄧ1" - ], - "𣶡": [ - "ㄘㄢ4" - ], - "𣶣": [ - "ㄊㄨㄢ2" - ], - "𣶤": [ - "ㄕㄚ1" - ], - "𣶦": [ - "ㄊㄨㄛ2" - ], - "𣶩": [ - "ㄏㄨㄚ4" - ], - "𣶫": [ - "ㄧ4" - ], - "𣷠": [ - "ㄇㄧㄣ2" - ], - "𣷡": [ - "ㄓㄨㄥ1" - ], - "𣷥": [ - "ㄕㄨㄛ4" - ], - "𣷩": [ - "ㄧ4" - ], - "𣷪": [ - "ㄨㄤ3" - ], - "𣷫": [ - "ㄠ2" - ], - "𣷶": [ - "ㄙㄨ3" - ], - "𣷾": [ - "ㄍㄨㄟ3" - ], - "𣷿": [ - "ㄊㄨㄛ3" - ], - "𣸀": [ - "ㄏㄨㄟ3" - ], - "𣸃": [ - "ㄒㄩ4" - ], - "𣸄": [ - "ㄗㄢ3" - ], - "𣸆": [ - "ㄗ3" - ], - "𣸇": [ - "ㄅㄧㄢ4" - ], - "𣸉": [ - "ㄉㄚ2" - ], - "𣸊": [ - "ㄧㄣ1" - ], - "𣸋": [ - "ㄑㄩㄢ3" - ], - "𣸎": [ - "ㄏㄨㄞ4" - ], - "𣸏": [ - "ㄋㄚ2" - ], - "𣸐": [ - "ㄗㄚ2" - ], - "𣸒": [ - "ㄊㄧ2" - ], - "𣸘": [ - "ㄧ2" - ], - "𣸙": [ - "ㄊㄢ1" - ], - "𣸚": [ - "ㄕㄜ2" - ], - "𣸛": [ - "ㄕㄨㄛ4" - ], - "𣸝": [ - "ㄒㄧㄥ2" - ], - "𣸠": [ - "ㄧㄡ3" - ], - "𣸣": [ - "ㄈㄣ2" - ], - "𣹇": [ - "ㄎㄜ4" - ], - "𣹋": [ - "ㄈㄨ2" - ], - "𣹒": [ - "ㄇㄧㄣ3" - ], - "𣹚": [ - "ㄆㄧ4" - ], - "𣹜": [ - "ㄐㄧ2" - ], - "𣹝": [ - "ㄑㄧㄠ4", - "ㄒㄧㄠ4" - ], - "𣹞": [ - "ㄓㄨㄥ3" - ], - "𣹟": [ - "ㄍㄢ4" - ], - "𣹠": [ - "ㄩㄢ1" - ], - "𣹡": [ - "ㄔ2" - ], - "𣹥": [ - "ㄑㄧㄢ4" - ], - "𣹧": [ - "ㄗㄨㄛ2", - "ㄓㄚ4" - ], - "𣹩": [ - "ㄒㄧㄝ2" - ], - "𣹪": [ - "ㄇㄠ2" - ], - "𣹬": [ - "ㄏㄨ2" - ], - "𣹮": [ - "ㄆㄧ4" - ], - "𣹯": [ - "ㄒㄩㄣ4" - ], - "𣹱": [ - "ㄒㄧㄚ2" - ], - "𣹲": [ - "ㄊㄧ2" - ], - "𣹵": [ - "ㄋㄚ4" - ], - "𣹶": [ - "ㄔㄨㄚ3" - ], - "𣺀": [ - "ㄨ3" - ], - "𣺬": [ - "ㄏㄨㄤ1" - ], - "𣺭": [ - "ㄒㄩㄝ4" - ], - "𣺮": [ - "ㄊㄠ4" - ], - "𣺰": [ - "ㄑㄧㄠ4" - ], - "𣺳": [ - "ㄐㄧㄠ1" - ], - "𣺼": [ - "ㄉㄤ3" - ], - "𣺽": [ - "ㄅㄞ4" - ], - "𣻍": [ - "ㄉㄤ4", - "ㄒㄧㄤ4" - ], - "𣻎": [ - "ㄎㄡ4" - ], - "𣻐": [ - "ㄐㄩ1" - ], - "𣻑": [ - "ㄕㄚ1", - "ㄕㄞ4" - ], - "𣻒": [ - "ㄐㄧㄥ1" - ], - "𣻕": [ - "ㄇㄛ2" - ], - "𣻖": [ - "ㄋㄡ2" - ], - "𣻘": [ - "ㄕㄨㄛ4" - ], - "𣻚": [ - "ㄕㄨ4" - ], - "𣻛": [ - "ㄓㄨㄤ1" - ], - "𣻜": [ - "ㄈㄨ2" - ], - "𣻟": [ - "ㄗㄤ1" - ], - "𣻠": [ - "ㄒㄧㄝ2" - ], - "𣻡": [ - "ㄌㄤ4" - ], - "𣻢": [ - "ㄊㄨㄥ1" - ], - "𣻩": [ - "ㄓㄜ2" - ], - "𣻬": [ - "ㄘㄢ4" - ], - "𣻮": [ - "ㄩㄝ4" - ], - "𣻱": [ - "ㄓㄡ4" - ], - "𣼚": [ - "ㄊㄢ1" - ], - "𣼞": [ - "ㄧㄢ2" - ], - "𣼟": [ - "ㄌㄨ4" - ], - "𣼠": [ - "ㄧㄢ3" - ], - "𣼦": [ - "ㄗㄜ2" - ], - "𣼧": [ - "ㄕㄨㄞ4" - ], - "𣽅": [ - "ㄍㄨㄛ1" - ], - "𣽆": [ - "ㄓㄨ2" - ], - "𣽈": [ - "ㄖㄨ2", - "ㄖㄨㄢ2" - ], - "𣽉": [ - "ㄖㄨ2" - ], - "𣽌": [ - "ㄎㄢ3" - ], - "𣽍": [ - "ㄐㄧ4" - ], - "𣽎": [ - "ㄍㄠ1", - "ㄗㄜ2", - "ㄏㄠ2" - ], - "𣽒": [ - "ㄒㄧㄝ4" - ], - "𣽕": [ - "ㄡ4" - ], - "𣽖": [ - "ㄐㄧㄢ1" - ], - "𣽚": [ - "ㄓ2" - ], - "𣽛": [ - "ㄓㄚ2" - ], - "𣽝": [ - "ㄏㄨㄥ3" - ], - "𣽟": [ - "ㄎㄨㄢ3" - ], - "𣽡": [ - "ㄅㄛ2" - ], - "𣽤": [ - "ㄙㄜ4" - ], - "𣽥": [ - "ㄢ4" - ], - "𣽦": [ - "ㄐㄧㄢ4" - ], - "𣽨": [ - "ㄊㄥ2" - ], - "𣽫": [ - "ㄙㄨㄥ1" - ], - "𣽭": [ - "ㄇㄥ4" - ], - "𣽮": [ - "ㄧㄣ2" - ], - "𣽯": [ - "ㄊㄢ1" - ], - "𣽰": [ - "ㄍㄨㄛ1" - ], - "𣽳": [ - "ㄖㄨㄢ2" - ], - "𣽴": [ - "ㄨㄟ4" - ], - "𣽷": [ - "ㄙ4" - ], - "𣾤": [ - "ㄑㄧ4" - ], - "𣾦": [ - "ㄓㄤ3" - ], - "𣿅": [ - "ㄉㄨㄥ3" - ], - "𣿆": [ - "ㄈㄨ2" - ], - "𣿇": [ - "ㄕㄣ3" - ], - "𣿈": [ - "ㄙㄨ4" - ], - "𣿉": [ - "ㄧ4" - ], - "𣿊": [ - "ㄌㄧㄢ4" - ], - "𣿌": [ - "ㄏㄜ2" - ], - "𣿎": [ - "ㄓㄣ1" - ], - "𣿐": [ - "ㄗㄜ2" - ], - "𣿒": [ - "ㄘㄨㄟ3" - ], - "𣿓": [ - "ㄘㄨㄟ3" - ], - "𣿝": [ - "ㄈㄥ4" - ], - "𣿞": [ - "ㄌㄧ3" - ], - "𣿟": [ - "ㄎㄡ4" - ], - "𣿣": [ - "ㄒㄧㄠ4" - ], - "𣿤": [ - "ㄧㄡ3" - ], - "𤀃": [ - "ㄏㄠ2" - ], - "𤀉": [ - "ㄏㄢ4" - ], - "𤀊": [ - "ㄎㄣ3" - ], - "𤀝": [ - "ㄩ4" - ], - "𤀣": [ - "ㄏㄨㄢ3" - ], - "𤀤": [ - "ㄙㄨㄛ1", - "ㄕㄢ4", - "ㄕㄨㄞ4" - ], - "𤀦": [ - "ㄌㄚ4" - ], - "𤀨": [ - "ㄉㄡ4" - ], - "𤀩": [ - "ㄐㄧㄢ4" - ], - "𤀪": [ - "ㄆㄛ1" - ], - "𤀫": [ - "ㄅㄧㄢ3" - ], - "𤀰": [ - "ㄒㄩㄝ4" - ], - "𤀲": [ - "ㄅㄧㄢ4" - ], - "𤀷": [ - "ㄨㄟ4" - ], - "𤁡": [ - "ㄉㄢ4" - ], - "𤁢": [ - "ㄐㄧㄝ2" - ], - "𤁣": [ - "ㄅㄞ4" - ], - "𤁥": [ - "ㄋㄧㄢ3" - ], - "𤁦": [ - "ㄒㄧㄢ4" - ], - "𤁧": [ - "ㄙㄜ4" - ], - "𤁪": [ - "ㄏㄨㄚ2" - ], - "𤁫": [ - "ㄔㄨㄚ1" - ], - "𤁮": [ - "ㄡ4" - ], - "𤁯": [ - "ㄌㄧㄝ4" - ], - "𤁰": [ - "ㄉㄧ2" - ], - "𤁱": [ - "ㄘㄞ4" - ], - "𤁳": [ - "ㄓㄚ2" - ], - "𤁵": [ - "ㄌㄩ2" - ], - "𤁹": [ - "ㄏㄨㄛ4" - ], - "𤁼": [ - "ㄌㄧ4" - ], - "𤁽": [ - "ㄧㄥ3" - ], - "𤁿": [ - "ㄨㄟ3" - ], - "𤂀": [ - "ㄅㄧ4" - ], - "𤂁": [ - "ㄍㄨㄛ2" - ], - "𤂃": [ - "ㄆㄧ4" - ], - "𤂆": [ - "ㄅㄧㄠ1" - ], - "𤂠": [ - "ㄧㄢ3" - ], - "𤂤": [ - "ㄓㄨㄢ4" - ], - "𤂲": [ - "ㄏㄨㄥ2" - ], - "𤂶": [ - "ㄌㄧㄣ4" - ], - "𤂷": [ - "ㄜ4" - ], - "𤂹": [ - "ㄧㄣ3" - ], - "𤂺": [ - "ㄌㄢ4" - ], - "𤂼": [ - "ㄧㄠ4" - ], - "𤂿": [ - "ㄒㄩㄢ4" - ], - "𤃀": [ - "ㄌㄧ4" - ], - "𤃨": [ - "ㄌㄢ4" - ], - "𤃩": [ - "ㄌㄧㄥ2" - ], - "𤃪": [ - "ㄒㄧ1" - ], - "𤃫": [ - "ㄏㄨㄥ1" - ], - "𤃭": [ - "ㄐㄧㄠ3" - ], - "𤃮": [ - "ㄓㄨㄛ2" - ], - "𤃲": [ - "ㄓ2" - ], - "𤃵": [ - "ㄅㄛ2" - ], - "𤃶": [ - "ㄊㄥ1" - ], - "𤃷": [ - "ㄢ3" - ], - "𤃺": [ - "ㄒㄩㄣ2" - ], - "𤃻": [ - "ㄌㄟ3" - ], - "𤃼": [ - "ㄗㄤ1" - ], - "𤃽": [ - "ㄏㄨㄟ3" - ], - "𤄎": [ - "ㄒㄧ4" - ], - "𤄏": [ - "ㄏㄨㄥ2" - ], - "𤄑": [ - "ㄈㄢ4" - ], - "𤄒": [ - "ㄐㄧㄢ3" - ], - "𤄓": [ - "ㄘㄨㄥ2" - ], - "𤄔": [ - "ㄗㄚ2" - ], - "𤄖": [ - "ㄘㄚ1", - "ㄗㄚ2" - ], - "𤄘": [ - "ㄧㄡ1" - ], - "𤄛": [ - "ㄉㄨㄟ4" - ], - "𤄜": [ - "ㄆㄢ1" - ], - "𤄥": [ - "ㄊㄚ4" - ], - "𤄧": [ - "ㄆㄢ4" - ], - "𤄫": [ - "ㄈㄢ1" - ], - "𤄬": [ - "ㄒㄧ1" - ], - "𤄶": [ - "ㄧㄠ4", - "ㄕㄨㄛ4" - ], - "𤄷": [ - "ㄌㄨㄛ2" - ], - "𤄺": [ - "ㄅㄧㄢ1" - ], - "𤄼": [ - "ㄐㄧㄣ4" - ], - "𤄽": [ - "ㄌㄧ4" - ], - "𤅊": [ - "ㄧㄢ4" - ], - "𤅋": [ - "ㄉㄡ4" - ], - "𤅎": [ - "ㄇㄢ4" - ], - "𤅐": [ - "ㄍㄨㄥ1" - ], - "𤅑": [ - "ㄖㄤ3" - ], - "𤅒": [ - "ㄘㄢ4" - ], - "𤅣": [ - "ㄇㄣ2" - ], - "𤅱": [ - "ㄍㄨ3" - ], - "𤅲": [ - "ㄕㄨㄢ4" - ], - "𤅸": [ - "ㄧㄢ2", - "ㄧㄢ4" - ], - "𤅹": [ - "ㄅㄧ4" - ], - "𤆀": [ - "ㄅㄧㄠ1" - ], - "𤆁": [ - "ㄔㄥ2" - ], - "𤆂": [ - "ㄎㄨㄟ4" - ], - "𤆄": [ - "ㄏㄨㄛ3", - "ㄗㄞ1" - ], - "𤆍": [ - "ㄔ4" - ], - "𤆏": [ - "ㄨㄛ4" - ], - "𤆑": [ - "ㄘㄡ4" - ], - "𤆒": [ - "ㄓ4" - ], - "𤆙": [ - "ㄕㄨㄟ3" - ], - "𤆜": [ - "ㄍㄨㄚ4" - ], - "𤆝": [ - "ㄆㄨ1" - ], - "𤆞": [ - "ㄒㄩ4" - ], - "𤆟": [ - "ㄙ1" - ], - "𤆡": [ - "ㄨ3" - ], - "𤆮": [ - "ㄈㄨ1" - ], - "𤆰": [ - "ㄕ4" - ], - "𤆳": [ - "ㄏㄨㄟ4" - ], - "𤆴": [ - "ㄏㄨㄤ1" - ], - "𤆵": [ - "ㄆㄚ1" - ], - "𤆼": [ - "ㄓㄨ3" - ], - "𤆾": [ - "ㄧ2" - ], - "𤇃": [ - "ㄌㄧ4" - ], - "𤇄": [ - "ㄕㄢ3" - ], - "𤇜": [ - "ㄇㄧㄣ2" - ], - "𤇞": [ - "ㄍㄜ1" - ], - "𤇠": [ - "ㄏㄨ1" - ], - "𤇯": [ - "ㄣ1", - "ㄠ1" - ], - "𤇰": [ - "ㄈㄚ2" - ], - "𤇳": [ - "ㄒㄩ4", - "ㄒㄩㄝ4" - ], - "𤇴": [ - "ㄧ2", - "ㄒㄧ1" - ], - "𤇾": [ - "ㄧㄥ2" - ], - "𤈔": [ - "ㄔ2" - ], - "𤈙": [ - "ㄧ2" - ], - "𤈥": [ - "ㄉㄧ2" - ], - "𤈦": [ - "ㄏㄨㄟ3", - "ㄇㄟ2" - ], - "𤈧": [ - "ㄏㄜ2" - ], - "𤈩": [ - "ㄓㄚ3" - ], - "𤈶": [ - "ㄩㄣ2" - ], - "𤈷": [ - "ㄒㄧㄢ1" - ], - "𤉌": [ - "ㄒㄧㄢ2" - ], - "𤉍": [ - "ㄌㄠ4" - ], - "𤉎": [ - "ㄕㄠ4" - ], - "𤉏": [ - "ㄕ4" - ], - "𤉐": [ - "ㄓㄨㄛ2" - ], - "𤉤": [ - "ㄅㄧㄝ1" - ], - "𤉥": [ - "ㄐㄧㄡ3" - ], - "𤉦": [ - "ㄨㄛ1" - ], - "𤉧": [ - "ㄐㄧㄠ3" - ], - "𤉨": [ - "ㄈㄨ2" - ], - "𤉪": [ - "ㄒㄧㄤ1" - ], - "𤉫": [ - "ㄎㄞ4" - ], - "𤊲": [ - "ㄋㄠ3" - ], - "𤊴": [ - "ㄏㄨㄛ4" - ], - "𤊵": [ - "ㄐㄧ2" - ], - "𤊶": [ - "ㄌㄚ4" - ], - "𤊻": [ - "ㄈㄡ1" - ], - "𤊼": [ - "ㄕㄢ3" - ], - "𤊽": [ - "ㄌㄧㄠ4", - "ㄌㄧㄠ3" - ], - "𤊾": [ - "ㄇㄧㄝ4" - ], - "𤊿": [ - "ㄔㄜ4" - ], - "𤋂": [ - "ㄇㄛ2" - ], - "𤋏": [ - "ㄌㄡ2" - ], - "𤋨": [ - "ㄉㄨㄛ4" - ], - "𤋫": [ - "ㄋㄠ3" - ], - "𤋭": [ - "ㄐㄧ1" - ], - "𤋰": [ - "ㄓㄨ4" - ], - "𤌂": [ - "ㄙㄨ4" - ], - "𤌃": [ - "ㄉㄨㄛ4" - ], - "𤌇": [ - "ㄐㄩㄥ3" - ], - "𤌊": [ - "ㄗㄞ3" - ], - "𤌋": [ - "ㄏㄨㄟ3" - ], - "𤌌": [ - "ㄧㄥ3" - ], - "𤌍": [ - "ㄏㄨ2" - ], - "𤌎": [ - "ㄌㄧㄣ4", - "ㄌㄧㄣ3" - ], - "𤌏": [ - "ㄨㄥ3" - ], - "𤌐": [ - "ㄏㄢ4" - ], - "𤌔": [ - "ㄋㄢ2" - ], - "𤌷": [ - "ㄒㄧ4" - ], - "𤌹": [ - "ㄍㄢ4" - ], - "𤌾": [ - "ㄏㄜ4" - ], - "𤌿": [ - "ㄐㄧ1" - ], - "𤍀": [ - "ㄒㄧㄤ3" - ], - "𤍁": [ - "ㄕㄚ1" - ], - "𤍐": [ - "ㄊㄨㄟ4" - ], - "𤍒": [ - "ㄓㄠ1" - ], - "𤍓": [ - "ㄕㄨ4" - ], - "𤍕": [ - "ㄧㄡ3" - ], - "𤍖": [ - "ㄐㄧㄢ1" - ], - "𤍜": [ - "ㄗㄠ4" - ], - "𤍠": [ - "ㄖㄜ4" - ], - "𤍤": [ - "ㄓㄤ1" - ], - "𤍽": [ - "ㄖㄨㄛ4" - ], - "𤎄": [ - "ㄧㄢ1" - ], - "𤎋": [ - "ㄘㄨㄟ4" - ], - "𤎗": [ - "ㄐㄧ2" - ], - "𤎘": [ - "ㄕㄤ1" - ], - "𤎣": [ - "ㄜ4" - ], - "𤎤": [ - "ㄌㄠ2" - ], - "𤎥": [ - "ㄊㄢ3", - "ㄔㄢ1" - ], - "𤎧": [ - "ㄓㄨ4" - ], - "𤎭": [ - "ㄌㄧㄣ3", - "ㄧㄣ3" - ], - "𤎯": [ - "ㄗㄥ1" - ], - "𤎱": [ - "ㄐㄩㄢ3" - ], - "𤎲": [ - "ㄏㄨ1" - ], - "𤏗": [ - "ㄕㄣ3" - ], - "𤏘": [ - "ㄏㄨㄛ4" - ], - "𤏜": [ - "ㄎㄨㄟ4" - ], - "𤏱": [ - "ㄔㄨ4" - ], - "𤏲": [ - "ㄓㄡ4" - ], - "𤏶": [ - "ㄠ1" - ], - "𤏸": [ - "ㄓㄨㄛ2" - ], - "𤏽": [ - "ㄒㄧㄥ1" - ], - "𤏿": [ - "ㄇㄧㄝ4" - ], - "𤐀": [ - "ㄏㄨ1" - ], - "𤐔": [ - "ㄊㄢ2" - ], - "𤐙": [ - "ㄅㄧ4" - ], - "𤐣": [ - "ㄉㄧㄥ3" - ], - "𤐩": [ - "ㄎㄞ4" - ], - "𤐫": [ - "ㄅㄧㄠ1" - ], - "𤐰": [ - "ㄏㄨㄛ4" - ], - "𤐱": [ - "ㄌㄧㄝ4" - ], - "𤐲": [ - "ㄘㄨㄢ4" - ], - "𤑃": [ - "ㄒㄧㄢ4" - ], - "𤑄": [ - "ㄖㄜ4" - ], - "𤑓": [ - "ㄩㄝ4" - ], - "𤑕": [ - "ㄒㄩㄣ1" - ], - "𤑗": [ - "ㄌㄧㄠ3", - "ㄓㄠ1" - ], - "𤑣": [ - "ㄕㄚ1" - ], - "𤑦": [ - "ㄕ4" - ], - "𤑪": [ - "ㄒㄧㄝ4" - ], - "𤑳": [ - "ㄒㄧㄠ1" - ], - "𤑷": [ - "ㄧㄝ2" - ], - "𤑸": [ - "ㄌㄢ3" - ], - "𤑹": [ - "ㄧ4" - ], - "𤑿": [ - "ㄌㄧㄢ3" - ], - "𤒔": [ - "ㄅㄛ2" - ], - "𤒕": [ - "ㄘㄠ1" - ], - "𤒝": [ - "ㄧㄠ4" - ], - "𤒦": [ - "ㄌㄧㄢ4", - "ㄧㄢ4" - ], - "𤒻": [ - "ㄊㄚ4" - ], - "𤓑": [ - "ㄐㄧ4" - ], - "𤓔": [ - "ㄒㄧ1" - ], - "𤓕": [ - "ㄓ4" - ], - "𤓚": [ - "ㄒㄧ1" - ], - "𤓝": [ - "ㄩㄝ4" - ], - "𤓤": [ - "ㄒㄧㄢ3" - ], - "𤓦": [ - "ㄓㄨㄛ4" - ], - "𤓯": [ - "ㄓㄤ3", - "ㄐㄩ2" - ], - "𤓵": [ - "ㄗㄨ3" - ], - "𤓷": [ - "ㄋㄚ2" - ], - "𤓾": [ - "ㄉㄠ4" - ], - "𤓿": [ - "ㄌㄧㄝ4" - ], - "𤔀": [ - "ㄋㄚ2" - ], - "𤔉": [ - "ㄆㄠ2" - ], - "𤔋": [ - "ㄐㄩ4" - ], - "𤔔": [ - "ㄌㄨㄢ4" - ], - "𤔖": [ - "ㄌㄨㄛ3" - ], - "𤔙": [ - "ㄕㄨㄚ3" - ], - "𤔚": [ - "ㄕㄤ4" - ], - "𤔝": [ - "ㄌㄨㄛ3" - ], - "𤔟": [ - "ㄈㄣ1" - ], - "𤔣": [ - "ㄅㄠ4" - ], - "𤔨": [ - "ㄌㄧ4" - ], - "𤔫": [ - "ㄒㄩㄥ4" - ], - "𤔶": [ - "ㄉㄤ1" - ], - "𤕀": [ - "ㄔㄥ4" - ], - "𤕄": [ - "ㄓㄤ3" - ], - "𤕇": [ - "ㄙㄡ3" - ], - "𤕊": [ - "ㄕㄣ2" - ], - "𤕒": [ - "ㄍㄜ3" - ], - "𤕘": [ - "ㄩ1", - "ㄨ4" - ], - "𤕚": [ - "ㄏㄨㄟ1" - ], - "𤕛": [ - "ㄔㄜ4" - ], - "𤕝": [ - "ㄐㄧㄠ4", - "ㄅㄛ2" - ], - "𤕞": [ - "ㄓㄨ4" - ], - "𤕟": [ - "ㄕㄨ1" - ], - "𤕢": [ - "ㄒㄧㄠ2" - ], - "𤕦": [ - "ㄋㄧㄥ2" - ], - "𤕭": [ - "ㄐㄧㄤ1" - ], - "𤕯": [ - "ㄐㄧㄤ1", - "ㄓㄨㄤ4" - ], - "𤕷": [ - "ㄉㄧㄠ4" - ], - "𤕽": [ - "ㄑㄧㄤ2" - ], - "𤕾": [ - "ㄑㄧㄡ2", - "ㄈㄨ3" - ], - "𤖀": [ - "ㄈㄥ1" - ], - "𤖆": [ - "ㄓㄢ4" - ], - "𤖇": [ - "ㄎㄜ1" - ], - "𤖒": [ - "ㄉㄧㄝ2" - ], - "𤖓": [ - "ㄗㄜ2" - ], - "𤖖": [ - "ㄍㄨㄤ1" - ], - "𤖗": [ - "ㄙㄜ4" - ], - "𤖘": [ - "ㄈㄣ4", - "ㄈㄣ2" - ], - "𤖛": [ - "ㄐㄧㄤ3" - ], - "𤖝": [ - "ㄧㄢ2" - ], - "𤖞": [ - "ㄓ4" - ], - "𤖢": [ - "ㄌㄧ4" - ], - "𤖦": [ - "ㄌㄧㄥ2" - ], - "𤖪": [ - "ㄧ2" - ], - "𤖬": [ - "ㄑㄩ3" - ], - "𤖭": [ - "ㄆㄢ2" - ], - "𤖮": [ - "ㄍㄡ1" - ], - "𤖰": [ - "ㄐㄧㄚ3" - ], - "𤖱": [ - "ㄏㄜ2" - ], - "𤖳": [ - "ㄆㄥ4" - ], - "𤖵": [ - "ㄐㄩ4" - ], - "𤖷": [ - "ㄔㄜ4" - ], - "𤖺": [ - "ㄌㄧㄝ4" - ], - "𤖻": [ - "ㄕ4" - ], - "𤖼": [ - "ㄆㄛ4" - ], - "𤖽": [ - "ㄒㄧㄤ4" - ], - "𤖿": [ - "ㄆㄧ4" - ], - "𤗀": [ - "ㄌㄨㄛ3" - ], - "𤗁": [ - "ㄘㄨ4" - ], - "𤗃": [ - "ㄩ3" - ], - "𤗇": [ - "ㄎㄨㄥ4" - ], - "𤗈": [ - "ㄒㄧㄝ4" - ], - "𤗍": [ - "ㄨㄢ3" - ], - "𤗎": [ - "ㄧㄢ3" - ], - "𤗏": [ - "ㄆㄟ2" - ], - "𤗓": [ - "ㄔㄥ2" - ], - "𤗘": [ - "ㄊㄧ2" - ], - "𤗙": [ - "ㄔㄜ4", - "ㄊㄨㄛ4" - ], - "𤗚": [ - "ㄅㄧ4" - ], - "𤗛": [ - "ㄌㄧㄢ4" - ], - "𤗜": [ - "ㄐㄧㄚ3" - ], - "𤗞": [ - "ㄊㄧㄥ2" - ], - "𤗢": [ - "ㄊㄧ1" - ], - "𤗨": [ - "ㄉㄧㄝ2" - ], - "𤗪": [ - "ㄕㄨ4" - ], - "𤗫": [ - "ㄌㄧ2" - ], - "𤗬": [ - "ㄌㄩ2" - ], - "𤗭": [ - "ㄒㄧㄚ4", - "ㄒㄧㄚ1" - ], - "𤗯": [ - "ㄘㄨㄟ1" - ], - "𤗳": [ - "ㄅㄛ1" - ], - "𤗴": [ - "ㄊㄨㄟ2" - ], - "𤗵": [ - "ㄆㄨ2" - ], - "𤗷": [ - "ㄌㄧㄣ4" - ], - "𤗸": [ - "ㄈㄣ4", - "ㄈㄣ2" - ], - "𤗺": [ - "ㄅㄛ2" - ], - "𤗻": [ - "ㄔㄢ4" - ], - "𤗾": [ - "ㄉㄤ1" - ], - "𤗿": [ - "ㄊㄞ3" - ], - "𤘀": [ - "ㄉㄠ4" - ], - "𤘃": [ - "ㄌㄧ4" - ], - "𤘅": [ - "ㄧㄚ2" - ], - "𤘆": [ - "ㄧㄚ2" - ], - "𤘇": [ - "ㄓㄢ1" - ], - "𤘊": [ - "ㄧ2" - ], - "𤘌": [ - "ㄑㄧ1" - ], - "𤘔": [ - "ㄏㄨ4" - ], - "𤘖": [ - "ㄊㄧㄥ1" - ], - "𤘘": [ - "ㄎㄡ3" - ], - "𤘛": [ - "ㄔㄨㄣ2" - ], - "𤘜": [ - "ㄧㄡ2" - ], - "𤘝": [ - "ㄈㄣ4" - ], - "𤘟": [ - "ㄋㄨㄛ2" - ], - "𤘠": [ - "ㄊㄧㄢ4" - ], - "𤘡": [ - "ㄐㄧㄣ4" - ], - "𤘢": [ - "ㄆㄧ2" - ], - "𤘣": [ - "ㄔㄣ2" - ], - "𤘤": [ - "ㄆㄧ4" - ], - "𤘦": [ - "ㄐㄧㄝ4" - ], - "𤘧": [ - "ㄍㄨㄟ3" - ], - "𤘲": [ - "ㄓㄨㄤ4" - ], - "𤘵": [ - "ㄏㄨ2" - ], - "𤘶": [ - "ㄔㄡ3" - ], - "𤘷": [ - "ㄕㄨ4" - ], - "𤘸": [ - "ㄊㄠ1" - ], - "𤘹": [ - "ㄆㄧ2" - ], - "𤘺": [ - "ㄖㄨㄥ3" - ], - "𤘻": [ - "ㄖㄨㄥ3" - ], - "𤘽": [ - "ㄏㄡ3" - ], - "𤘾": [ - "ㄆㄥ1" - ], - "𤙅": [ - "ㄅㄞ4" - ], - "𤙇": [ - "ㄒㄧㄚ2" - ], - "𤙋": [ - "ㄑㄧㄣ3" - ], - "𤙌": [ - "ㄋㄧ3" - ], - "𤙎": [ - "ㄊㄠ1" - ], - "𤙏": [ - "ㄑㄩ4" - ], - "𤙒": [ - "ㄒㄧㄝ2" - ], - "𤙔": [ - "ㄓㄠ4" - ], - "𤙕": [ - "ㄏㄨㄚ1" - ], - "𤙖": [ - "ㄒㄧㄣ1" - ], - "𤙘": [ - "ㄕㄡ1" - ], - "𤙛": [ - "ㄊㄨ2" - ], - "𤙝": [ - "ㄌㄧㄤ2" - ], - "𤙞": [ - "ㄅㄧ4" - ], - "𤙟": [ - "ㄔㄨ1" - ], - "𤙡": [ - "ㄒㄧㄥ1" - ], - "𤙣": [ - "ㄒㄧㄣ1" - ], - "𤙤": [ - "ㄈㄨ1" - ], - "𤙩": [ - "ㄐㄧㄝ4" - ], - "𤙭": [ - "ㄈㄨ3" - ], - "𤙰": [ - "ㄊㄜ4" - ], - "𤙱": [ - "ㄕㄜ4" - ], - "𤙴": [ - "ㄔㄠ1" - ], - "𤙵": [ - "ㄔㄨㄟ1" - ], - "𤙼": [ - "ㄖㄢ2" - ], - "𤙽": [ - "ㄏㄡ3" - ], - "𤙾": [ - "ㄅㄥ1" - ], - "𤚀": [ - "ㄘㄞ3" - ], - "𤚅": [ - "ㄇㄨ2" - ], - "𤚉": [ - "ㄒㄩ1" - ], - "𤚊": [ - "ㄉㄧㄝ2" - ], - "𤚍": [ - "ㄔㄢ3" - ], - "𤚎": [ - "ㄩ2" - ], - "𤚏": [ - "ㄓㄨㄥ4" - ], - "𤚓": [ - "ㄌㄧ2" - ], - "𤚔": [ - "ㄕㄡ1" - ], - "𤚚": [ - "ㄉㄨ2" - ], - "𤚜": [ - "ㄇㄠ1" - ], - "𤚝": [ - "ㄏㄨㄤ2" - ], - "𤚟": [ - "ㄊㄠ2" - ], - "𤚡": [ - "ㄉㄨ4" - ], - "𤚢": [ - "ㄊㄧ2" - ], - "𤚣": [ - "ㄕㄥ1" - ], - "𤚤": [ - "ㄇㄟ2" - ], - "𤚨": [ - "ㄓㄣ1" - ], - "𤚩": [ - "ㄑㄧㄣ2" - ], - "𤚪": [ - "ㄆㄧ4" - ], - "𤚫": [ - "ㄊㄤ2" - ], - "𤚬": [ - "ㄘㄤ1" - ], - "𤚭": [ - "ㄧㄠ2" - ], - "𤚯": [ - "ㄒㄧㄡ4" - ], - "𤚰": [ - "ㄅㄤ1" - ], - "𤚱": [ - "ㄍㄨ3" - ], - "𤚵": [ - "ㄅㄨ4" - ], - "𤚼": [ - "ㄍㄡ4" - ], - "𤚽": [ - "ㄅㄛ2" - ], - "𤛁": [ - "ㄨㄣ4" - ], - "𤛄": [ - "ㄐㄧ4" - ], - "𤛊": [ - "ㄌㄚ1" - ], - "𤛍": [ - "ㄘㄨㄟ1" - ], - "𤛎": [ - "ㄇㄧㄣ3" - ], - "𤛏": [ - "ㄘㄨ3" - ], - "𤛐": [ - "ㄡ1" - ], - "𤛑": [ - "ㄩㄥ1" - ], - "𤛖": [ - "ㄇㄠ2" - ], - "𤛗": [ - "ㄎㄜ4" - ], - "𤛘": [ - "ㄇㄤ1" - ], - "𤛙": [ - "ㄉㄧㄥ3" - ], - "𤛚": [ - "ㄏㄨㄢ1" - ], - "𤛛": [ - "ㄉㄨㄛ3" - ], - "𤛜": [ - "ㄐㄧㄤ1" - ], - "𤛝": [ - "ㄙㄨ4" - ], - "𤛢": [ - "ㄘㄥ2" - ], - "𤛣": [ - "ㄊㄚ4" - ], - "𤛥": [ - "ㄏㄨㄤ2" - ], - "𤛦": [ - "ㄐㄩㄝ2" - ], - "𤛧": [ - "ㄒㄩㄣ2" - ], - "𤛪": [ - "ㄒㄩㄥ4" - ], - "𤛬": [ - "ㄇㄧ4" - ], - "𤛭": [ - "ㄑㄩㄣ2" - ], - "𤛮": [ - "ㄌㄠ2" - ], - "𤛱": [ - "ㄓ4" - ], - "𤛲": [ - "ㄨㄟ3", - "ㄨㄟ2" - ], - "𤛷": [ - "ㄙㄜ4" - ], - "𤛻": [ - "ㄗㄤ1" - ], - "𤜁": [ - "ㄢ3" - ], - "𤜂": [ - "ㄨㄟ4", - "ㄍㄨㄟ4" - ], - "𤜄": [ - "ㄏㄨㄞ2", - "ㄏㄨㄞ4" - ], - "𤜇": [ - "ㄓㄢ4" - ], - "𤜉": [ - "ㄧㄥ1" - ], - "𤜊": [ - "ㄍㄜ1" - ], - "𤜋": [ - "ㄏㄨㄟ4" - ], - "𤜍": [ - "ㄑㄩㄢ2" - ], - "𤜓": [ - "ㄌㄧㄝ4" - ], - "𤜔": [ - "ㄐㄩ2" - ], - "𤜕": [ - "ㄅㄚ4" - ], - "𤜖": [ - "ㄌㄟ2" - ], - "𤜘": [ - "ㄇㄢ2" - ], - "𤜙": [ - "ㄌㄧㄥ2" - ], - "𤜜": [ - "ㄌㄧ4" - ], - "𤜝": [ - "ㄐㄧ3" - ], - "𤜡": [ - "ㄏㄨㄟ2" - ], - "𤜢": [ - "ㄒㄧㄣ4" - ], - "𤜣": [ - "ㄕ4", - "ㄕㄜ2" - ], - "𤜤": [ - "ㄓㄜ2" - ], - "𤜧": [ - "ㄅㄛ1" - ], - "𤜫": [ - "ㄔㄚ1" - ], - "𤜯": [ - "ㄔㄚ1" - ], - "𤜰": [ - "ㄐㄧㄥ1" - ], - "𤜱": [ - "ㄅㄚ1" - ], - "𤜲": [ - "ㄅㄟ4", - "ㄆㄟ4" - ], - "𤜵": [ - "ㄧㄢ4" - ], - "𤜷": [ - "ㄏㄨ4" - ], - "𤜹": [ - "ㄩ2" - ], - "𤜻": [ - "ㄅㄧ4", - "ㄆㄧ2" - ], - "𤜼": [ - "ㄔㄨㄢ2" - ], - "𤜾": [ - "ㄐㄧ3" - ], - "𤝂": [ - "ㄇㄨ4" - ], - "𤝄": [ - "ㄇㄠ2" - ], - "𤝅": [ - "ㄓㄨㄥ1" - ], - "𤝇": [ - "ㄧㄝ4" - ], - "𤝈": [ - "ㄉㄡ1" - ], - "𤝉": [ - "ㄧㄝ3" - ], - "𤝍": [ - "ㄖ4" - ], - "𤝎": [ - "ㄧㄣ1" - ], - "𤝐": [ - "ㄏㄠ4" - ], - "𤝒": [ - "ㄋㄚ4" - ], - "𤝓": [ - "ㄊㄧㄝ4" - ], - "𤝔": [ - "ㄈㄨ4", - "ㄔㄞ2" - ], - "𤝕": [ - "ㄇㄨ3" - ], - "𤝖": [ - "ㄗㄞ3" - ], - "𤝘": [ - "ㄏㄨ2" - ], - "𤝚": [ - "ㄔㄣ1" - ], - "𤝛": [ - "ㄊㄨㄛ2" - ], - "𤝞": [ - "ㄔㄨ4" - ], - "𤝟": [ - "ㄈㄨ2", - "ㄈㄟ4" - ], - "𤝧": [ - "ㄅㄠ4" - ], - "𤝬": [ - "ㄉㄧ3" - ], - "𤝭": [ - "ㄘㄞ3" - ], - "𤝮": [ - "ㄌㄨ4" - ], - "𤝯": [ - "ㄆㄛ3" - ], - "𤝰": [ - "ㄉㄚ2" - ], - "𤝱": [ - "ㄧㄝ4" - ], - "𤝳": [ - "ㄧ3" - ], - "𤝷": [ - "ㄒㄧㄤ2" - ], - "𤝸": [ - "ㄅㄧ1" - ], - "𤝹": [ - "ㄓㄨ1" - ], - "𤝻": [ - "ㄧ2" - ], - "𤝽": [ - "ㄌㄩ4" - ], - "𤝿": [ - "ㄎㄨㄤ1" - ], - "𤞂": [ - "ㄓ4" - ], - "𤞇": [ - "ㄨㄚ2", - "ㄎㄨㄤ2" - ], - "𤞈": [ - "ㄉㄧ1" - ], - "𤞉": [ - "ㄕㄨ4" - ], - "𤞊": [ - "ㄌㄧㄝ4" - ], - "𤞋": [ - "ㄗㄠ3" - ], - "𤞌": [ - "ㄓ4" - ], - "𤞍": [ - "ㄋㄠ2" - ], - "𤞗": [ - "ㄔㄞ2" - ], - "𤞚": [ - "ㄒㄧㄠ1" - ], - "𤞛": [ - "ㄗㄤ4" - ], - "𤞞": [ - "ㄩ4" - ], - "𤞟": [ - "ㄉㄡ4" - ], - "𤞠": [ - "ㄔㄚ4" - ], - "𤞡": [ - "ㄒㄧㄝ2" - ], - "𤞢": [ - "ㄧㄤ2" - ], - "𤞤": [ - "ㄒㄧㄢ3" - ], - "𤞥": [ - "ㄅㄠ3" - ], - "𤞮": [ - "ㄓㄞ4", - "ㄓㄞ1" - ], - "𤞰": [ - "ㄑㄧㄡ2" - ], - "𤞲": [ - "ㄏㄨ2" - ], - "𤞳": [ - "ㄗㄞ4" - ], - "𤞴": [ - "ㄐㄩㄝ2" - ], - "𤞶": [ - "ㄏㄢ1", - "ㄏㄢ4" - ], - "𤞿": [ - "ㄢ4" - ], - "𤟀": [ - "ㄗㄠ4" - ], - "𤟃": [ - "ㄕㄚ4" - ], - "𤟅": [ - "ㄒㄧㄢ4" - ], - "𤟆": [ - "ㄔ3" - ], - "𤟇": [ - "ㄧㄢ3" - ], - "𤟉": [ - "ㄢ4" - ], - "𤟍": [ - "ㄓㄜ2" - ], - "𤟎": [ - "ㄐㄩㄝ2" - ], - "𤟑": [ - "ㄌㄧ4" - ], - "𤟓": [ - "ㄌㄜ4" - ], - "𤟖": [ - "ㄘㄞ3" - ], - "𤟘": [ - "ㄌㄨ4" - ], - "𤟚": [ - "ㄐㄧㄚ1" - ], - "𤟝": [ - "ㄒㄧㄚ4" - ], - "𤟞": [ - "ㄒㄧㄠ4" - ], - "𤟟": [ - "ㄧㄢ1" - ], - "𤟠": [ - "ㄒㄩ1" - ], - "𤟢": [ - "ㄉㄨㄣ4" - ], - "𤟣": [ - "ㄧㄥ2" - ], - "𤟤": [ - "ㄏㄨㄟ1", - "ㄒㄩㄣ1" - ], - "𤟥": [ - "ㄊㄧ2" - ], - "𤟦": [ - "ㄋㄡ2" - ], - "𤟧": [ - "ㄒㄧ3" - ], - "𤟪": [ - "ㄊㄨ2" - ], - "𤟷": [ - "ㄨㄞ1" - ], - "𤟸": [ - "ㄔㄣ1" - ], - "𤟼": [ - "ㄏㄨㄥ1" - ], - "𤟾": [ - "ㄊㄧ2" - ], - "𤟿": [ - "ㄒㄩㄢ1" - ], - "𤠀": [ - "ㄗㄚ2" - ], - "𤠇": [ - "ㄍㄜ2" - ], - "𤠋": [ - "ㄌㄡ2" - ], - "𤠌": [ - "ㄔㄞ2" - ], - "𤠍": [ - "ㄆㄢ2" - ], - "𤠎": [ - "ㄐㄧ2" - ], - "𤠐": [ - "ㄊㄚ4" - ], - "𤠓": [ - "ㄒㄧ1" - ], - "𤠖": [ - "ㄒㄧㄠ1" - ], - "𤠘": [ - "ㄙㄠ1" - ], - "𤠙": [ - "ㄐㄧㄚ1" - ], - "𤠚": [ - "ㄙㄨ4" - ], - "𤠛": [ - "ㄏㄨㄤ1" - ], - "𤠝": [ - "ㄘㄨㄛ1" - ], - "𤠟": [ - "ㄊㄚ4" - ], - "𤠠": [ - "ㄕㄨㄞ1" - ], - "𤠪": [ - "ㄈㄨ2" - ], - "𤠫": [ - "ㄌㄧ4" - ], - "𤠭": [ - "ㄕㄜ4" - ], - "𤠯": [ - "ㄊㄤ2" - ], - "𤠶": [ - "ㄉㄧㄢ1" - ], - "𤠺": [ - "ㄅㄧ4" - ], - "𤠼": [ - "ㄍㄡ4" - ], - "𤠽": [ - "ㄘㄨ4" - ], - "𤠿": [ - "ㄑㄧㄢ1" - ], - "𤡂": [ - "ㄌㄟ2", - "ㄌㄟ3" - ], - "𤡃": [ - "ㄙㄨ4" - ], - "𤡆": [ - "ㄗㄨㄥ4", - "ㄗㄨㄥ1" - ], - "𤡇": [ - "ㄏㄠ1" - ], - "𤡏": [ - "ㄔ4" - ], - "𤡐": [ - "ㄘㄠ2" - ], - "𤡓": [ - "ㄨㄛ4" - ], - "𤡔": [ - "ㄒㄧㄠ1" - ], - "𤡕": [ - "ㄌㄧㄝ4", - "ㄨㄣ3" - ], - "𤡖": [ - "ㄧㄢ2", - "ㄧㄢ1" - ], - "𤡝": [ - "ㄅㄧ4" - ], - "𤡟": [ - "ㄏㄨㄢ4" - ], - "𤡡": [ - "ㄒㄧ1" - ], - "𤡢": [ - "ㄔ1" - ], - "𤡣": [ - "ㄒㄩ1" - ], - "𤡤": [ - "ㄋㄠ2", - "ㄋㄚ4", - "ㄖㄨ2" - ], - "𤡥": [ - "ㄧㄢ2", - "ㄒㄧㄢ4" - ], - "𤡧": [ - "ㄒㄧㄝ4" - ], - "𤡨": [ - "ㄓㄚ2" - ], - "𤡪": [ - "ㄙㄨㄟ4", - "ㄨㄟ3" - ], - "𤡬": [ - "ㄒㄧ4" - ], - "𤡭": [ - "ㄅㄥ1", - "ㄆㄥ2" - ], - "𤡮": [ - "ㄖㄢ2" - ], - "𤡯": [ - "ㄕㄨㄛ4", - "ㄒㄧ1", - "ㄑㄩㄝ4" - ], - "𤡰": [ - "ㄅㄢ1" - ], - "𤡱": [ - "ㄍㄨㄟ4" - ], - "𤡲": [ - "ㄎㄞ1" - ], - "𤡳": [ - "ㄔㄣ1" - ], - "𤡶": [ - "ㄒㄩ4" - ], - "𤡾": [ - "ㄜ4" - ], - "𤡿": [ - "ㄌㄧ4" - ], - "𤢀": [ - "ㄒㄧ1" - ], - "𤢁": [ - "ㄏㄨㄢ4" - ], - "𤢂": [ - "ㄙㄨ4" - ], - "𤢄": [ - "ㄔㄤ3" - ], - "𤢊": [ - "ㄌㄨ4" - ], - "𤢋": [ - "ㄧㄢ2" - ], - "𤢎": [ - "ㄉㄤ1" - ], - "𤢏": [ - "ㄉㄢ3" - ], - "𤢐": [ - "ㄧㄤ1" - ], - "𤢒": [ - "ㄓㄞ3" - ], - "𤢓": [ - "ㄐㄩ4", - "ㄑㄩ2" - ], - "𤢕": [ - "ㄉㄨㄛ2" - ], - "𤢖": [ - "ㄙㄠ1", - "ㄕㄢ1" - ], - "𤢗": [ - "ㄌㄞ2" - ], - "𤢘": [ - "ㄙㄨ4" - ], - "𤢟": [ - "ㄗㄜ2" - ], - "𤢣": [ - "ㄅㄧ4" - ], - "𤢦": [ - "ㄧㄣ4" - ], - "𤢨": [ - "ㄏㄠ1" - ], - "𤢪": [ - "ㄌㄧㄝ4" - ], - "𤢭": [ - "ㄏㄠ2" - ], - "𤢮": [ - "ㄧㄤ2" - ], - "𤢴": [ - "ㄕㄨㄛ4", - "ㄌㄧ4" - ], - "𤢵": [ - "ㄌㄞ4", - "ㄞ4" - ], - "𤢶": [ - "ㄑㄩㄥ2" - ], - "𤢹": [ - "ㄌㄟ3" - ], - "𤢺": [ - "ㄒㄧㄝ2" - ], - "𤢼": [ - "ㄕ4" - ], - "𤣃": [ - "ㄌㄨ3" - ], - "𤣅": [ - "ㄑㄩㄝ4" - ], - "𤣆": [ - "ㄌㄧㄢ2" - ], - "𤣌": [ - "ㄒㄧㄠ4" - ], - "𤣎": [ - "ㄧㄥ1" - ], - "𤣑": [ - "ㄒㄧㄝ2" - ], - "𤣘": [ - "ㄌㄧㄥ2" - ], - "𤣙": [ - "ㄧㄡ1" - ], - "𤣞": [ - "ㄉㄤ3" - ], - "𤣟": [ - "ㄌㄢ3" - ], - "𤣠": [ - "ㄒㄧㄠ1" - ], - "𤣨": [ - "ㄧ4" - ], - "𤣬": [ - "ㄨ1" - ], - "𤣮": [ - "ㄧ4" - ], - "𤣯": [ - "ㄊㄨㄛ1" - ], - "𤣰": [ - "ㄅㄨ3" - ], - "𤣲": [ - "ㄒㄧㄣ4" - ], - "𤣵": [ - "ㄙ1" - ], - "𤣶": [ - "ㄐㄧㄣ1" - ], - "𤣸": [ - "ㄅㄚ1" - ], - "𤣹": [ - "ㄈㄚ3" - ], - "𤣻": [ - "ㄇㄛ4" - ], - "𤣼": [ - "ㄖㄨㄛ4" - ], - "𤤊": [ - "ㄉㄚ4" - ], - "𤤋": [ - "ㄐㄧ4" - ], - "𤤐": [ - "ㄙㄨ4" - ], - "𤤑": [ - "ㄑㄩㄥ2" - ], - "𤤒": [ - "ㄅㄚ1" - ], - "𤤦": [ - "ㄊㄧㄢ2" - ], - "𤤧": [ - "ㄧㄡ2" - ], - "𤤩": [ - "ㄊㄨㄛ2" - ], - "𤤫": [ - "ㄨㄞ4" - ], - "𤤬": [ - "ㄧㄡ4" - ], - "𤤮": [ - "ㄉㄨㄥ1" - ], - "𤤱": [ - "ㄒㄧ3" - ], - "𤤲": [ - "ㄎㄨㄥ3" - ], - "𤤶": [ - "ㄑㄩㄥ2" - ], - "𤤷": [ - "ㄉㄨㄟ1" - ], - "𤤸": [ - "ㄉㄨㄛ4" - ], - "𤤺": [ - "ㄧ4" - ], - "𤥒": [ - "ㄒㄧ1" - ], - "𤥓": [ - "ㄑㄧㄣ1" - ], - "𤥔": [ - "ㄙㄨ4" - ], - "𤥗": [ - "ㄌㄧㄡ2" - ], - "𤥙": [ - "ㄨㄢ2" - ], - "𤥭": [ - "ㄔㄜ1" - ], - "𤥮": [ - "ㄓㄨ1" - ], - "𤥰": [ - "ㄇㄠ4" - ], - "𤥷": [ - "ㄑㄩㄢ2" - ], - "𤥽": [ - "ㄩ1" - ], - "𤥿": [ - "ㄧ4" - ], - "𤦀": [ - "ㄇㄧ2" - ], - "𤦃": [ - "ㄌㄞ2" - ], - "𤦄": [ - "ㄓ4" - ], - "𤦤": [ - "ㄋㄧ2" - ], - "𤦦": [ - "ㄅㄢ1" - ], - "𤦪": [ - "ㄉㄨㄥ1" - ], - "𤦮": [ - "ㄓ4" - ], - "𤧕": [ - "ㄧ4" - ], - "𤧘": [ - "ㄌㄧㄥ2" - ], - "𤧙": [ - "ㄩ2" - ], - "𤧚": [ - "ㄘㄨㄥ1" - ], - "𤧛": [ - "ㄉㄧ4" - ], - "𤧜": [ - "ㄓ4" - ], - "𤧠": [ - "ㄖㄨㄢ3" - ], - "𤧣": [ - "ㄐㄧㄢ4" - ], - "𤧩": [ - "ㄨㄢ4" - ], - "𤧫": [ - "ㄐㄧㄣ1", - "ㄐㄧㄣ4", - "ㄉㄨㄟ1" - ], - "𤧭": [ - "ㄆㄤ2" - ], - "𤨍": [ - "ㄌㄨ4" - ], - "𤨎": [ - "ㄑㄩ2" - ], - "𤨐": [ - "ㄒㄧ3", - "ㄊㄠ1" - ], - "𤨑": [ - "ㄉㄚ2" - ], - "𤨖": [ - "ㄏㄨ4" - ], - "𤨗": [ - "ㄌㄨㄛ3" - ], - "𤨙": [ - "ㄌㄜ4" - ], - "𤨶": [ - "ㄍㄨㄥ3" - ], - "𤨻": [ - "ㄌㄧㄥ4" - ], - "𤩂": [ - "ㄌㄠ2" - ], - "𤩄": [ - "ㄓㄨㄢ4" - ], - "𤩨": [ - "ㄗㄠ3" - ], - "𤩩": [ - "ㄏㄠ4" - ], - "𤩪": [ - "ㄒㄧㄤ4" - ], - "𤩭": [ - "ㄏㄠ4" - ], - "𤩮": [ - "ㄌㄧ4" - ], - "𤩱": [ - "ㄉㄧㄢ4", - "ㄊㄧㄢ4" - ], - "𤩲": [ - "ㄍㄜ2" - ], - "𤩽": [ - "ㄏㄨㄢ2" - ], - "𤪄": [ - "ㄜ4" - ], - "𤪆": [ - "ㄒㄧㄚ2" - ], - "𤪋": [ - "ㄐㄧㄢ1" - ], - "𤪌": [ - "ㄑㄧ2" - ], - "𤪍": [ - "ㄒㄧㄚ2" - ], - "𤪎": [ - "ㄧㄡ3" - ], - "𤪡": [ - "ㄓㄥ1" - ], - "𤪪": [ - "ㄓㄨㄢ4", - "ㄔㄨㄣ1" - ], - "𤪮": [ - "ㄔㄢ4" - ], - "𤫉": [ - "ㄒㄧㄝ4" - ], - "𤫕": [ - "ㄋㄠ2" - ], - "𤫝": [ - "ㄐㄧ4" - ], - "𤫞": [ - "ㄊㄧㄢ2" - ], - "𤫣": [ - "ㄧㄢ3" - ], - "𤫧": [ - "ㄏㄠ3" - ], - "𤫨": [ - "ㄒㄧㄣ2" - ], - "𤫩": [ - "ㄌㄧㄥ2" - ], - "𤫫": [ - "ㄅㄢ1" - ], - "𤫬": [ - "ㄅㄥ3" - ], - "𤫱": [ - "ㄍㄡ1" - ], - "𤫲": [ - "ㄌㄧㄥ2" - ], - "𤫵": [ - "ㄎㄨㄛ4", - "ㄍㄨㄛ2" - ], - "𤫶": [ - "ㄑㄧㄚ4" - ], - "𤫷": [ - "ㄐㄧㄠ4" - ], - "𤫹": [ - "ㄣ1" - ], - "𤫺": [ - "ㄧㄠ2" - ], - "𤫻": [ - "ㄉㄨ1" - ], - "𤬁": [ - "ㄏㄨㄛ3", - "ㄍㄨㄛ3", - "ㄌㄨㄛ3" - ], - "𤬂": [ - "ㄉㄨ3" - ], - "𤬃": [ - "ㄆㄟ1" - ], - "𤬌": [ - "ㄩㄢ2" - ], - "𤬏": [ - "ㄌㄡ2" - ], - "𤬐": [ - "ㄒㄧㄥ2" - ], - "𤬓": [ - "ㄌㄧㄢ2", - "ㄌㄧㄢ3" - ], - "𤬔": [ - "ㄧㄠ2" - ], - "𤬕": [ - "ㄒㄧ1" - ], - "𤬖": [ - "ㄧㄠ2" - ], - "𤬘": [ - "ㄒㄧ1" - ], - "𤬛": [ - "ㄌㄨ2" - ], - "𤬝": [ - "ㄧㄢ4" - ], - "𤬠": [ - "ㄑㄩㄢ2" - ], - "𤬥": [ - "ㄖㄤ2" - ], - "𤬦": [ - "ㄨㄚ4" - ], - "𤬧": [ - "ㄗㄨ2" - ], - "𤬨": [ - "ㄈㄢ4" - ], - "𤬩": [ - "ㄧ4" - ], - "𤬪": [ - "ㄉㄨ4", - "ㄎㄢ1" - ], - "𤬫": [ - "ㄙㄨㄟ4" - ], - "𤬭": [ - "ㄆㄧ1" - ], - "𤬯": [ - "ㄏㄢ2", - "ㄑㄧㄢ4" - ], - "𤬱": [ - "ㄒㄩ4" - ], - "𤬳": [ - "ㄍㄨㄥ3" - ], - "𤬵": [ - "ㄉㄧ4" - ], - "𤬷": [ - "ㄋㄚ4" - ], - "𤬾": [ - "ㄉㄨㄛ4", - "ㄊㄨㄛ2" - ], - "𤬿": [ - "ㄨㄚ1" - ], - "𤭂": [ - "ㄋㄧㄝ4" - ], - "𤭈": [ - "ㄉㄧㄠ4" - ], - "𤭉": [ - "ㄏㄨㄤ1" - ], - "𤭌": [ - "ㄊㄧ2" - ], - "𤭍": [ - "ㄈㄢ4" - ], - "𤭑": [ - "ㄨ2" - ], - "𤭒": [ - "ㄤ2" - ], - "𤭔": [ - "ㄆㄧㄥ2" - ], - "𤭙": [ - "ㄏㄢ2", - "ㄍㄢ1" - ], - "𤭛": [ - "ㄍㄤ1" - ], - "𤭜": [ - "ㄌㄧ2" - ], - "𤭞": [ - "ㄉㄨㄣ1" - ], - "𤭟": [ - "ㄈㄨ4" - ], - "𤭠": [ - "ㄋㄚ4" - ], - "𤭢": [ - "ㄘㄟ4", - "ㄙㄨㄟ4" - ], - "𤭧": [ - "ㄐㄧㄝ1" - ], - "𤭩": [ - "ㄑㄧㄥ4" - ], - "𤭫": [ - "ㄧㄥ1" - ], - "𤭬": [ - "ㄒㄧㄤ2" - ], - "𤭱": [ - "ㄏㄨ2" - ], - "𤭴": [ - "ㄙㄨ4" - ], - "𤭻": [ - "ㄍㄜ1" - ], - "𤭼": [ - "ㄜ4" - ], - "𤭽": [ - "ㄒㄩ4" - ], - "𤮆": [ - "ㄒㄧ1" - ], - "𤮊": [ - "ㄎㄤ1" - ], - "𤮋": [ - "ㄍㄨㄛ2" - ], - "𤮌": [ - "ㄐㄧㄝ1" - ], - "𤮍": [ - "ㄔㄨㄢ2" - ], - "𤮎": [ - "ㄌㄟ2" - ], - "𤮏": [ - "ㄏㄥ2" - ], - "𤮐": [ - "ㄗㄨㄣ1" - ], - "𤮕": [ - "ㄆㄧㄝ4" - ], - "𤮘": [ - "ㄉㄥ1" - ], - "𤮙": [ - "ㄒㄧ1" - ], - "𤮚": [ - "ㄌㄟ2" - ], - "𤮜": [ - "ㄕㄢ4" - ], - "𤮧": [ - "ㄌㄨ2" - ], - "𤮩": [ - "ㄉㄨㄟ4" - ], - "𤮪": [ - "ㄐㄩㄣ4" - ], - "𤮭": [ - "ㄔㄢ4" - ], - "𤮯": [ - "ㄒㄧㄝ2" - ], - "𤮰": [ - "ㄨㄚ1" - ], - "𤮱": [ - "ㄓㄜ2" - ], - "𤮳": [ - "ㄓㄨㄢ1", - "ㄍㄨㄢ4" - ], - "𤮷": [ - "ㄌㄧㄡ4" - ], - "𤮸": [ - "ㄌㄟ2" - ], - "𤮼": [ - "ㄉㄞ4" - ], - "𤮽": [ - "ㄍㄢ1" - ], - "𤯄": [ - "ㄕ4" - ], - "𤯇": [ - "ㄧㄢ3" - ], - "𤯌": [ - "ㄍㄢ1" - ], - "𤯐": [ - "ㄧㄢ2" - ], - "𤯖": [ - "ㄙㄨㄟ1" - ], - "𤯚": [ - "ㄓㄨㄥ1" - ], - "𤯜": [ - "ㄕ4" - ], - "𤯡": [ - "ㄕㄥ4" - ], - "𤯥": [ - "ㄔㄢ3" - ], - "𤯷": [ - "ㄏㄨㄤ2" - ], - "𤯸": [ - "ㄧㄣ4" - ], - "𤯻": [ - "ㄇㄥ3" - ], - "𤰂": [ - "ㄖㄤ2" - ], - "𤰅": [ - "ㄒㄧㄤ2" - ], - "𤰈": [ - "ㄅㄟ4", - "ㄈㄨ2" - ], - "𤰌": [ - "ㄔㄨㄢ2" - ], - "𤰑": [ - "ㄆㄨ2" - ], - "𤰙": [ - "ㄎㄜ1", - "ㄍㄜ2" - ], - "𤰚": [ - "ㄌㄚ1", - "ㄌㄚ2" - ], - "𤰝": [ - "ㄑㄩㄢ3" - ], - "𤰟": [ - "ㄏㄤ4" - ], - "𤰠": [ - "ㄔ4" - ], - "𤰡": [ - "ㄇㄤ2" - ], - "𤰦": [ - "ㄓㄚ4" - ], - "𤰪": [ - "ㄈㄣ4" - ], - "𤰬": [ - "ㄔㄠ4" - ], - "𤰳": [ - "ㄐㄧㄥ3" - ], - "𤱃": [ - "ㄌㄧㄝ4" - ], - "𤱅": [ - "ㄋㄚ4" - ], - "𤱆": [ - "ㄋㄚ4" - ], - "𤱇": [ - "ㄊㄨㄥ2" - ], - "𤱋": [ - "ㄖㄢ2" - ], - "𤱌": [ - "ㄗㄨ3" - ], - "𤱍": [ - "ㄆㄧ1", - "ㄆㄛ3" - ], - "𤱎": [ - "ㄧㄡ3" - ], - "𤱐": [ - "ㄕㄨ1" - ], - "𤱛": [ - "ㄌㄧㄝ4" - ], - "𤱜": [ - "ㄕㄡ1" - ], - "𤱝": [ - "ㄊㄨㄢ3" - ], - "𤱟": [ - "ㄍㄠ3" - ], - "𤱠": [ - "ㄕㄠ2" - ], - "𤱡": [ - "ㄊㄨㄛ2" - ], - "𤱣": [ - "ㄋㄢ2" - ], - "𤱧": [ - "ㄊㄨㄛ3" - ], - "𤱨": [ - "ㄍㄨㄥ1" - ], - "𤱩": [ - "ㄉㄧㄠ4" - ], - "𤱴": [ - "ㄇㄥ3" - ], - "𤱵": [ - "ㄅㄤ1" - ], - "𤱷": [ - "ㄒㄧㄝ2" - ], - "𤱸": [ - "ㄙ4" - ], - "𤱹": [ - "ㄊㄧㄥ3" - ], - "𤱺": [ - "ㄍㄨㄟ4" - ], - "𤱽": [ - "ㄈㄨ2" - ], - "𤱾": [ - "ㄍㄨㄟ4" - ], - "𤲉": [ - "ㄍㄨㄟ4" - ], - "𤲑": [ - "ㄓㄨ3" - ], - "𤲓": [ - "ㄌㄞ2" - ], - "𤲕": [ - "ㄌㄨㄣ3" - ], - "𤲖": [ - "ㄊㄧㄢ3" - ], - "𤲗": [ - "ㄖㄢ3" - ], - "𤲚": [ - "ㄉㄨㄥ1" - ], - "𤲨": [ - "ㄐㄩㄢ4" - ], - "𤲩": [ - "ㄧㄢ2" - ], - "𤲬": [ - "ㄖㄨㄢ2" - ], - "𤲭": [ - "ㄉㄢ3" - ], - "𤲰": [ - "ㄇㄠ4" - ], - "𤲶": [ - "ㄌㄨㄢ2", - "ㄋㄧㄠ3" - ], - "𤲸": [ - "ㄒㄩ4", - "ㄗ1" - ], - "𤲺": [ - "ㄒㄧ1" - ], - "𤳂": [ - "ㄇㄚ2" - ], - "𤳃": [ - "ㄑㄧ1" - ], - "𤳅": [ - "ㄔㄚ4" - ], - "𤳈": [ - "ㄕㄤ1" - ], - "𤳉": [ - "ㄏㄢ4" - ], - "𤳊": [ - "ㄆㄧㄥ2" - ], - "𤳎": [ - "ㄐㄧ1" - ], - "𤳓": [ - "ㄌㄧ4" - ], - "𤳕": [ - "ㄩ4" - ], - "𤳖": [ - "ㄅㄢ1", - "ㄈㄢ1" - ], - "𤳘": [ - "ㄊㄥ1" - ], - "𤳝": [ - "ㄔㄡ2" - ], - "𤳠": [ - "ㄔㄡ2" - ], - "𤳤": [ - "ㄑㄧ1" - ], - "𤳥": [ - "ㄒㄧ1" - ], - "𤳦": [ - "ㄅㄟ4" - ], - "𤳪": [ - "ㄧㄝ4" - ], - "𤳭": [ - "ㄍㄨㄤ3" - ], - "𤳯": [ - "ㄓㄨ4" - ], - "𤳳": [ - "ㄌㄟ2", - "ㄏㄨㄟ3" - ], - "𤳴": [ - "ㄌㄟ2" - ], - "𤳵": [ - "ㄔㄚ1" - ], - "𤴀": [ - "ㄍㄨㄤ3", - "ㄑㄧㄠ1" - ], - "𤴍": [ - "ㄉㄧㄝ2" - ], - "𤴓": [ - "ㄧㄚ3" - ], - "𤴘": [ - "ㄋㄧㄝ4" - ], - "𤴙": [ - "ㄕㄨ1", - "ㄒㄩ1" - ], - "𤴛": [ - "ㄓ4" - ], - "𤴟": [ - "ㄓ4" - ], - "𤴢": [ - "ㄓ4" - ], - "𤴣": [ - "ㄆㄧ3" - ], - "𤴥": [ - "ㄐㄧㄡ1" - ], - "𤴦": [ - "ㄐㄧㄡ1" - ], - "𤴧": [ - "ㄧ4" - ], - "𤴨": [ - "ㄧㄡ4", - "ㄧㄡ3" - ], - "𤴪": [ - "ㄐㄧㄡ1" - ], - "𤴯": [ - "ㄏㄨㄢ4" - ], - "𤴱": [ - "ㄉㄨ4" - ], - "𤴻": [ - "ㄊㄠ2" - ], - "𤴼": [ - "ㄑㄧㄝ4", - "ㄘ2" - ], - "𤴽": [ - "ㄑㄧㄣ2" - ], - "𤴾": [ - "ㄒㄧㄣ4" - ], - "𤴿": [ - "ㄔㄢ1" - ], - "𤵀": [ - "ㄐㄧ4" - ], - "𤵂": [ - "ㄑㄧㄣ4" - ], - "𤵊": [ - "ㄉㄨ4" - ], - "𤵋": [ - "ㄓ1" - ], - "𤵎": [ - "ㄡ3" - ], - "𤵐": [ - "ㄨ4" - ], - "𤵒": [ - "ㄨㄣ2" - ], - "𤵘": [ - "ㄅㄧ4" - ], - "𤵛": [ - "ㄅㄟ1" - ], - "𤵝": [ - "ㄇㄨ3" - ], - "𤵞": [ - "ㄐㄧㄣ4" - ], - "𤵟": [ - "ㄊㄠ2" - ], - "𤵠": [ - "ㄌㄧㄠ2" - ], - "𤵥": [ - "ㄘㄠ2", - "ㄓㄡ3" - ], - "𤵦": [ - "ㄓㄚ2" - ], - "𤵬": [ - "ㄔ3" - ], - "𤵭": [ - "ㄧㄚ1" - ], - "𤵮": [ - "ㄎㄨㄟ2" - ], - "𤵯": [ - "ㄧㄣ4" - ], - "𤵸": [ - "ㄌㄨㄥ2", - "ㄆㄤ1" - ], - "𤵹": [ - "ㄑㄧㄚ4" - ], - "𤵻": [ - "ㄏㄤ1" - ], - "𤵼": [ - "ㄕㄤ4", - "ㄕㄤ1" - ], - "𤵽": [ - "ㄏㄞ4" - ], - "𤵾": [ - "ㄔㄚ1" - ], - "𤶀": [ - "ㄐㄧㄠ3" - ], - "𤶁": [ - "ㄌㄠ3" - ], - "𤶈": [ - "ㄒㄧ1" - ], - "𤶋": [ - "ㄅㄛ2" - ], - "𤶓": [ - "ㄓ3" - ], - "𤶕": [ - "ㄊㄨㄣ4" - ], - "𤶖": [ - "ㄈㄨ2" - ], - "𤶘": [ - "ㄏㄨ1" - ], - "𤶚": [ - "ㄋㄧㄝ4" - ], - "𤶛": [ - "ㄧ4" - ], - "𤶜": [ - "ㄓㄨㄤ4" - ], - "𤶠": [ - "ㄔㄚ2" - ], - "𤶤": [ - "ㄙㄨㄢ1" - ], - "𤶧": [ - "ㄩㄣ4" - ], - "𤶮": [ - "ㄉㄨ4" - ], - "𤶰": [ - "ㄒㄧ1" - ], - "𤶱": [ - "ㄔㄨㄢ4" - ], - "𤶲": [ - "ㄒㄧㄥ2" - ], - "𤶳": [ - "ㄐㄧㄠ3" - ], - "𤶴": [ - "ㄕㄣ1" - ], - "𤷀": [ - "ㄨㄤ1" - ], - "𤷁": [ - "ㄅㄟ1" - ], - "𤷂": [ - "ㄈㄟ2" - ], - "𤷃": [ - "ㄐㄧㄢ4" - ], - "𤷄": [ - "ㄑㄩㄢ2" - ], - "𤷅": [ - "ㄧ4", - "ㄧㄚ2" - ], - "𤷆": [ - "ㄉㄨㄥ1" - ], - "𤷇": [ - "ㄒㄩ4" - ], - "𤷈": [ - "ㄋㄚ4", - "ㄋㄧㄝ4" - ], - "𤷉": [ - "ㄐㄧ2" - ], - "𤷌": [ - "ㄓㄣ3" - ], - "𤷍": [ - "ㄑㄧ2" - ], - "𤷎": [ - "ㄉㄨㄟ1" - ], - "𤷏": [ - "ㄧㄣ2" - ], - "𤷑": [ - "ㄐㄧㄡ4" - ], - "𤷒": [ - "ㄆㄧ2", - "ㄅㄧ4", - "ㄅㄟ1" - ], - "𤷓": [ - "ㄒㄧㄣ4" - ], - "𤷔": [ - "ㄌㄨㄣ2" - ], - "𤷕": [ - "ㄘㄞ3" - ], - "𤷖": [ - "ㄌㄧㄥ4" - ], - "𤷗": [ - "ㄅㄧㄝ1" - ], - "𤷘": [ - "ㄉㄠ4" - ], - "𤷙": [ - "ㄉㄜ2" - ], - "𤷟": [ - "ㄌㄚ5" - ], - "𤷡": [ - "ㄒㄧ1", - "ㄋㄩㄝ4" - ], - "𤷢": [ - "ㄐㄩ4" - ], - "𤷤": [ - "ㄒㄧㄠ2" - ], - "𤷦": [ - "ㄐㄧㄥ1" - ], - "𤷹": [ - "ㄨㄞ4" - ], - "𤷻": [ - "ㄋㄠ3" - ], - "𤷼": [ - "ㄒㄧㄤ1" - ], - "𤷽": [ - "ㄑㄩㄝ4" - ], - "𤷾": [ - "ㄑㄧㄝ4" - ], - "𤷿": [ - "ㄊㄨ1" - ], - "𤸀": [ - "ㄒㄩ3" - ], - "𤸁": [ - "ㄏㄨㄟ4" - ], - "𤸅": [ - "ㄇㄧㄣ2" - ], - "𤸆": [ - "ㄨㄟ3" - ], - "𤸈": [ - "ㄧㄡ2" - ], - "𤸉": [ - "ㄊㄨㄟ2" - ], - "𤸊": [ - "ㄉㄞ4" - ], - "𤸎": [ - "ㄎㄜ3", - "ㄏㄞ4" - ], - "𤸏": [ - "ㄋㄚ4", - "ㄋㄧㄝ4" - ], - "𤸑": [ - "ㄈㄨ4" - ], - "𤸒": [ - "ㄩ4" - ], - "𤸓": [ - "ㄓ3" - ], - "𤸕": [ - "ㄏㄢ1" - ], - "𤸖": [ - "ㄞ1" - ], - "𤸗": [ - "ㄈㄨ4" - ], - "𤸡": [ - "ㄧㄤ1" - ], - "𤸤": [ - "ㄕ2" - ], - "𤸦": [ - "ㄔㄢ2" - ], - "𤸪": [ - "ㄔ4" - ], - "𤸫": [ - "ㄩㄣ4" - ], - "𤸬": [ - "ㄕㄨㄞ1" - ], - "𤸮": [ - "ㄙㄨ4" - ], - "𤸯": [ - "ㄙㄤ3" - ], - "𤸱": [ - "ㄜ4", - "ㄎㄜ4", - "ㄎㄞ4", - "ㄧㄚ4" - ], - "𤸲": [ - "ㄓㄥ3" - ], - "𤸳": [ - "ㄞ2" - ], - "𤸴": [ - "ㄙㄨㄛ3" - ], - "𤸵": [ - "ㄅㄨ4" - ], - "𤸷": [ - "ㄑㄩㄣ2" - ], - "𤸸": [ - "ㄧ4" - ], - "𤸹": [ - "ㄧㄢ3" - ], - "𤸻": [ - "ㄋㄚ4" - ], - "𤸼": [ - "ㄨ3" - ], - "𤹇": [ - "ㄌㄧ4" - ], - "𤹈": [ - "ㄌㄧ4" - ], - "𤹊": [ - "ㄒㄧ1" - ], - "𤹋": [ - "ㄐㄩㄝ2" - ], - "𤹌": [ - "ㄕ1" - ], - "𤹎": [ - "ㄧㄚ3" - ], - "𤹛": [ - "ㄔㄣ2" - ], - "𤹜": [ - "ㄧㄥ2" - ], - "𤹝": [ - "ㄅㄧ4" - ], - "𤹞": [ - "ㄔㄜ4" - ], - "𤹡": [ - "ㄓㄚ1" - ], - "𤹢": [ - "ㄊㄨㄛ3" - ], - "𤹣": [ - "ㄏㄨ4" - ], - "𤹤": [ - "ㄊㄥ2" - ], - "𤹥": [ - "ㄧㄥ4" - ], - "𤹦": [ - "ㄅㄧ3" - ], - "𤹧": [ - "ㄋㄧㄥ2" - ], - "𤹨": [ - "ㄌㄧㄢ4" - ], - "𤹩": [ - "ㄒㄧㄣ4" - ], - "𤹪": [ - "ㄩ3" - ], - "𤹲": [ - "ㄅㄟ4" - ], - "𤹴": [ - "ㄇㄛ2" - ], - "𤹵": [ - "ㄉㄨㄟ1" - ], - "𤹷": [ - "ㄉㄠ3" - ], - "𤹸": [ - "ㄑㄧ2" - ], - "𤺀": [ - "ㄕㄨㄞ1" - ], - "𤺃": [ - "ㄒㄧㄠ1", - "ㄐㄧㄠ1", - "ㄧㄠ1" - ], - "𤺄": [ - "ㄓㄨㄥ3", - "ㄊㄨㄥ2" - ], - "𤺅": [ - "ㄓㄨㄟ4" - ], - "𤺇": [ - "ㄅㄧㄢ4" - ], - "𤺉": [ - "ㄨㄟ3" - ], - "𤺊": [ - "ㄒㄧ1", - "ㄙ1" - ], - "𤺌": [ - "ㄉㄥ1" - ], - "𤺎": [ - "ㄒㄧㄝ1" - ], - "𤺏": [ - "ㄆㄢ1" - ], - "𤺐": [ - "ㄋㄧㄝ4" - ], - "𤺓": [ - "ㄅㄧㄝ2" - ], - "𤺔": [ - "ㄕㄜ4" - ], - "𤺕": [ - "ㄈㄟ4" - ], - "𤺖": [ - "ㄇㄧㄣ3" - ], - "𤺗": [ - "ㄑㄧ4", - "ㄐㄧ4" - ], - "𤺪": [ - "ㄕㄢ4" - ], - "𤺫": [ - "ㄙㄨㄛ3" - ], - "𤺷": [ - "ㄐㄧ2" - ], - "𤺺": [ - "ㄉㄢ3", - "ㄉㄢ4", - "ㄊㄢ2" - ], - "𤺻": [ - "ㄐㄩㄢ4" - ], - "𤺼": [ - "ㄌㄨ4" - ], - "𤺾": [ - "ㄠ4" - ], - "𤻂": [ - "ㄧ4" - ], - "𤻃": [ - "ㄕㄨ3" - ], - "𤻄": [ - "ㄙㄨㄟ4" - ], - "𤻅": [ - "ㄨㄟ4" - ], - "𤻆": [ - "ㄨㄢ2" - ], - "𤻇": [ - "ㄔㄨ3" - ], - "𤻌": [ - "ㄨㄛ4" - ], - "𤻖": [ - "ㄅㄧ4" - ], - "𤻘": [ - "ㄧㄣ3" - ], - "𤻙": [ - "ㄏㄨㄛ2" - ], - "𤻜": [ - "ㄎㄞ4", - "ㄜ4" - ], - "𤻝": [ - "ㄋㄧㄥ2" - ], - "𤻢": [ - "ㄞ4" - ], - "𤻤": [ - "ㄌㄧ4" - ], - "𤻦": [ - "ㄓㄞ1" - ], - "𤻱": [ - "ㄌㄨ4" - ], - "𤻶": [ - "ㄅㄧㄢ4" - ], - "𤻷": [ - "ㄆㄢ2" - ], - "𤻿": [ - "ㄍㄨㄟ4" - ], - "𤼀": [ - "ㄙㄨ1" - ], - "𤼁": [ - "ㄇㄥ2" - ], - "𤼂": [ - "ㄒㄧㄢ3" - ], - "𤼃": [ - "ㄌㄨㄥ4", - "ㄌㄨㄥ2" - ], - "𤼅": [ - "ㄑㄧ4" - ], - "𤼋": [ - "ㄔㄢ4" - ], - "𤼌": [ - "ㄧ4" - ], - "𤼍": [ - "ㄏㄤ2" - ], - "𤼏": [ - "ㄌㄧㄢ3" - ], - "𤼐": [ - "ㄍㄨㄢ4", - "ㄏㄨㄢ4" - ], - "𤼒": [ - "ㄨㄟ3", - "ㄏㄨㄚ4" - ], - "𤼗": [ - "ㄐㄩㄝ2" - ], - "𤼘": [ - "ㄌㄟ2" - ], - "𤼙": [ - "ㄌㄨㄢ2" - ], - "𤼚": [ - "ㄌㄧ4" - ], - "𤼜": [ - "ㄆㄧ2" - ], - "𤼢": [ - "ㄏㄨㄢ3" - ], - "𤼮": [ - "ㄍㄨㄟ1" - ], - "𤼳": [ - "ㄐㄩ2" - ], - "𤼶": [ - "ㄉㄥ1" - ], - "𤼺": [ - "ㄈㄟ4" - ], - "𤽁": [ - "ㄓ1" - ], - "𤽃": [ - "ㄇㄟ4" - ], - "𤽅": [ - "ㄏㄨㄢ4" - ], - "𤽉": [ - "ㄆㄚ1" - ], - "𤽊": [ - "ㄅㄧ3" - ], - "𤽌": [ - "ㄆㄛ1" - ], - "𤽓": [ - "ㄦ2" - ], - "𤽕": [ - "ㄏㄨㄢ4" - ], - "𤽣": [ - "ㄔㄤ4" - ], - "𤽥": [ - "ㄌㄨㄛ4" - ], - "𤽦": [ - "ㄈㄡ3" - ], - "𤽯": [ - "ㄔㄡ2" - ], - "𤽱": [ - "ㄗㄨ2" - ], - "𤽲": [ - "ㄋㄢ2" - ], - "𤽳": [ - "ㄒㄧㄠ3" - ], - "𤽹": [ - "ㄅㄞ4" - ], - "𤽺": [ - "ㄌㄨ4" - ], - "𤽼": [ - "ㄌㄨㄛ4" - ], - "𤽿": [ - "ㄋㄧㄢ4" - ], - "𤾀": [ - "ㄗㄜ2" - ], - "𤾄": [ - "ㄓㄨ4" - ], - "𤾅": [ - "ㄏㄨ2" - ], - "𤾈": [ - "ㄏㄨㄟ1" - ], - "𤾉": [ - "ㄊㄤ3" - ], - "𤾊": [ - "ㄔㄡ2" - ], - "𤾑": [ - "ㄏㄨㄤ2" - ], - "𤾒": [ - "ㄉㄡ1" - ], - "𤾛": [ - "ㄇㄧㄠ4" - ], - "𤾝": [ - "ㄅㄛ2" - ], - "𤾠": [ - "ㄉㄧ4" - ], - "𤾢": [ - "ㄉㄥ3" - ], - "𤾣": [ - "ㄆㄨ1" - ], - "𤾥": [ - "ㄙㄨㄥ1" - ], - "𤾦": [ - "ㄔㄡ2" - ], - "𤾫": [ - "ㄧㄠ4" - ], - "𤾬": [ - "ㄇㄥ3" - ], - "𤾭": [ - "ㄌㄨㄥ2" - ], - "𤾲": [ - "ㄌㄧㄢ2" - ], - "𤾵": [ - "ㄅㄧㄝ2" - ], - "𤾺": [ - "ㄌㄩ3" - ], - "𤾿": [ - "ㄙㄜ4" - ], - "𤿀": [ - "ㄗㄨㄛ2" - ], - "𤿄": [ - "ㄘㄨㄣ2" - ], - "𤿅": [ - "ㄌㄧㄥ2" - ], - "𤿆": [ - "ㄓㄥ3" - ], - "𤿇": [ - "ㄆㄧ3" - ], - "𤿈": [ - "ㄅㄠ2" - ], - "𤿋": [ - "ㄑㄩㄝ4" - ], - "𤿎": [ - "ㄆㄧ1" - ], - "𤿏": [ - "ㄋㄢ4" - ], - "𤿐": [ - "ㄆㄧ1" - ], - "𤿑": [ - "ㄅㄛ3" - ], - "𤿒": [ - "ㄅㄟ4" - ], - "𤿓": [ - "ㄈㄚ1" - ], - "𤿕": [ - "ㄇㄧㄣ3" - ], - "𤿖": [ - "ㄇㄛ4" - ], - "𤿗": [ - "ㄨㄚ4" - ], - "𤿘": [ - "ㄓㄠ1" - ], - "𤿙": [ - "ㄓ4", - "ㄆㄧ2" - ], - "𤿚": [ - "ㄘㄨ1" - ], - "𤿟": [ - "ㄒㄩㄣ2" - ], - "𤿠": [ - "ㄐㄧ2" - ], - "𤿡": [ - "ㄍㄨㄟ4", - "ㄑㄧ2" - ], - "𤿣": [ - "ㄔㄥ2" - ], - "𤿧": [ - "ㄏㄢ4" - ], - "𤿨": [ - "ㄒㄧㄠ4" - ], - "𤿩": [ - "ㄑㄩㄝ4" - ], - "𤿫": [ - "ㄔㄨㄛ4" - ], - "𤿭": [ - "ㄈㄨ3" - ], - "𤿳": [ - "ㄑㄧㄣ3" - ], - "𤿴": [ - "ㄌㄨ4" - ], - "𤿵": [ - "ㄑㄩㄝ4" - ], - "𤿶": [ - "ㄉㄧㄢ3" - ], - "𤿷": [ - "ㄑㄧㄢ1" - ], - "𤿼": [ - "ㄔㄤ3" - ], - "𤿽": [ - "ㄊㄚ4" - ], - "𤿾": [ - "ㄅㄟ1" - ], - "𥀁": [ - "ㄉㄨ4" - ], - "𥀂": [ - "ㄅㄥ3", - "ㄅㄤ1" - ], - "𥀃": [ - "ㄏㄡ4" - ], - "𥀈": [ - "ㄓㄚ3" - ], - "𥀉": [ - "ㄓㄚ3" - ], - "𥀎": [ - "ㄑㄩㄝ4" - ], - "𥀏": [ - "ㄇㄚ2" - ], - "𥀐": [ - "ㄏㄢ2" - ], - "𥀓": [ - "ㄌㄧㄡ2" - ], - "𥀔": [ - "ㄌㄨ4" - ], - "𥀖": [ - "ㄗ1" - ], - "𥀘": [ - "ㄆㄧ3" - ], - "𥀙": [ - "ㄓㄡ4" - ], - "𥀛": [ - "ㄗㄠ1" - ], - "𥀝": [ - "ㄋㄧㄡ3" - ], - "𥀠": [ - "ㄏㄨㄟ4" - ], - "𥀣": [ - "ㄒㄩㄝ2", - "ㄑㄧㄠ4" - ], - "𥀥": [ - "ㄌㄚ4" - ], - "𥀫": [ - "ㄋㄡ2", - "ㄖㄢ3" - ], - "𥀬": [ - "ㄧㄢ3", - "ㄧㄝ4" - ], - "𥀭": [ - "ㄖㄢ3" - ], - "𥀮": [ - "ㄋㄠ3" - ], - "𥀰": [ - "ㄌㄚ4" - ], - "𥀱": [ - "ㄍㄨㄤ3" - ], - "𥀲": [ - "ㄉㄨ2" - ], - "𥀵": [ - "ㄌㄨ2" - ], - "𥀹": [ - "ㄐㄧㄢ3" - ], - "𥀺": [ - "ㄒㄧㄝ4" - ], - "𥀻": [ - "ㄑㄧ4" - ], - "𥀾": [ - "ㄒㄧㄤ4" - ], - "𥁁": [ - "ㄍㄨㄛ3" - ], - "𥁂": [ - "ㄐㄧㄝ2" - ], - "𥁃": [ - "ㄇㄤ4" - ], - "𥁆": [ - "ㄒㄧㄚ1" - ], - "𥁇": [ - "ㄎㄨㄟ1" - ], - "𥁎": [ - "ㄩㄥ4" - ], - "𥁐": [ - "ㄏㄞ3" - ], - "𥁑": [ - "ㄇㄧ4" - ], - "𥁒": [ - "ㄧㄠ4" - ], - "𥁕": [ - "ㄨㄣ1" - ], - "𥁟": [ - "ㄌㄧ4" - ], - "𥁠": [ - "ㄐㄩㄢ4", - "ㄑㄩㄢ2", - "ㄑㄩㄢ1" - ], - "𥁡": [ - "ㄨ1" - ], - "𥁢": [ - "ㄑㄧㄠ2" - ], - "𥁮": [ - "ㄉㄧㄠ4" - ], - "𥁯": [ - "ㄔㄨ4", - "ㄔㄨㄛ4" - ], - "𥁲": [ - "ㄙㄨㄛ1" - ], - "𥁵": [ - "ㄔㄨㄥ1" - ], - "𥁸": [ - "ㄑㄩㄢ1" - ], - "𥁹": [ - "ㄕㄜ4" - ], - "𥂁": [ - "ㄧㄢ2" - ], - "𥂂": [ - "ㄇㄥ3" - ], - "𥂃": [ - "ㄐㄩ4" - ], - "𥂋": [ - "ㄊㄨ2" - ], - "𥂒": [ - "ㄋㄨㄥ2" - ], - "𥂓": [ - "ㄇㄛ2" - ], - "𥂙": [ - "ㄈㄣ4" - ], - "𥂢": [ - "ㄠ2" - ], - "𥂣": [ - "ㄍㄨㄛ1" - ], - "𥂤": [ - "ㄏㄨ2" - ], - "𥂥": [ - "ㄘㄢ2" - ], - "𥂦": [ - "ㄉㄨㄣ1" - ], - "𥂧": [ - "ㄏㄞ3" - ], - "𥂨": [ - "ㄐㄧㄠ3" - ], - "𥂰": [ - "ㄍㄨ1" - ], - "𥂵": [ - "ㄐㄧㄣ1" - ], - "𥂸": [ - "ㄧㄤ2" - ], - "𥃀": [ - "ㄔㄚ4" - ], - "𥃌": [ - "ㄏㄨㄟ1" - ], - "𥃔": [ - "ㄑㄩ2" - ], - "𥃕": [ - "ㄎㄜ1" - ], - "𥃟": [ - "ㄑㄧㄥ1" - ], - "𥃠": [ - "ㄧ4" - ], - "𥃣": [ - "ㄎㄞ3" - ], - "𥃤": [ - "ㄐㄧㄠ3" - ], - "𥃧": [ - "ㄔㄡ1", - "ㄐㄧㄠ3", - "ㄧㄠ3" - ], - "𥃨": [ - "ㄅㄨ3" - ], - "𥃩": [ - "ㄍㄣ4", - "ㄧㄢ3" - ], - "𥃪": [ - "ㄐㄧㄠ1" - ], - "𥃫": [ - "ㄓ1" - ], - "𥃮": [ - "ㄨㄣ4" - ], - "𥃰": [ - "ㄅㄧㄣ1" - ], - "𥃴": [ - "ㄒㄩㄥ4" - ], - "𥃵": [ - "ㄈㄢ4" - ], - "𥃸": [ - "ㄧ2" - ], - "𥃹": [ - "ㄔㄨㄢ4" - ], - "𥃺": [ - "ㄧㄠ4" - ], - "𥃽": [ - "ㄧㄤ1" - ], - "𥃾": [ - "ㄉㄨ4" - ], - "𥃿": [ - "ㄧㄢ3" - ], - "𥄁": [ - "ㄇㄥ2" - ], - "𥄇": [ - "ㄔ1", - "ㄏㄨㄣ1" - ], - "𥄈": [ - "ㄇㄨ4" - ], - "𥄉": [ - "ㄐㄧㄠ1" - ], - "𥄋": [ - "ㄋㄩ4" - ], - "𥄍": [ - "ㄍㄨㄛ2" - ], - "𥄎": [ - "ㄒㄩㄝ4" - ], - "𥄑": [ - "ㄈㄨ2" - ], - "𥄒": [ - "ㄒㄩㄝ1" - ], - "𥄓": [ - "ㄈㄨ1" - ], - "𥄔": [ - "ㄆㄟ4", - "ㄆㄛ4" - ], - "𥄕": [ - "ㄇㄛ4" - ], - "𥄖": [ - "ㄒㄧ1" - ], - "𥄗": [ - "ㄨㄛ4", - "ㄋㄞ4" - ], - "𥄘": [ - "ㄕㄢ3" - ], - "𥄛": [ - "ㄒㄧ1" - ], - "𥄜": [ - "ㄑㄧ4" - ], - "𥄝": [ - "ㄇㄧㄢ4" - ], - "𥄦": [ - "ㄉㄢ3" - ], - "𥄨": [ - "ㄔㄡ3" - ], - "𥄱": [ - "ㄈㄟ4" - ], - "𥄲": [ - "ㄇㄧㄝ2" - ], - "𥄴": [ - "ㄒㄩㄝ4", - "ㄐㄩㄝ2" - ], - "𥄵": [ - "ㄒㄩ4", - "ㄩ4" - ], - "𥄶": [ - "ㄙ1" - ], - "𥄷": [ - "ㄐㄩ3" - ], - "𥄸": [ - "ㄇㄠ3" - ], - "𥄹": [ - "ㄅㄠ4" - ], - "𥄻": [ - "ㄧ2" - ], - "𥄼": [ - "ㄍㄨㄚ1" - ], - "𥄽": [ - "ㄋㄧ4" - ], - "𥄿": [ - "ㄧ2", - "ㄉㄧ4" - ], - "𥅁": [ - "ㄗㄨㄛ4" - ], - "𥅄": [ - "ㄋㄨ3" - ], - "𥅑": [ - "ㄉㄧㄢ4" - ], - "𥅒": [ - "ㄈㄢ4" - ], - "𥅓": [ - "ㄧ4" - ], - "𥅔": [ - "ㄕ4" - ], - "𥅗": [ - "ㄘㄨ1" - ], - "𥅘": [ - "ㄓㄣ3", - "ㄇㄧ2" - ], - "𥅞": [ - "ㄕ4" - ], - "𥅟": [ - "ㄐㄧㄠ3" - ], - "𥅠": [ - "ㄏㄡ4" - ], - "𥅡": [ - "ㄦ2" - ], - "𥅦": [ - "ㄌㄟ4" - ], - "𥅧": [ - "ㄒㄩㄝ4" - ], - "𥅨": [ - "ㄍㄥ4" - ], - "𥅪": [ - "ㄕㄡ1" - ], - "𥅬": [ - "ㄐㄩㄢ1" - ], - "𥅴": [ - "ㄐㄧㄝ2" - ], - "𥅵": [ - "ㄨㄟ2" - ], - "𥅷": [ - "ㄕㄡ3" - ], - "𥅸": [ - "ㄐㄧㄥ4" - ], - "𥅺": [ - "ㄒㄩ2" - ], - "𥅻": [ - "ㄔㄨㄥ4" - ], - "𥆅": [ - "ㄐㄧㄤ1" - ], - "𥆆": [ - "ㄇㄡ4" - ], - "𥆉": [ - "ㄩ4" - ], - "𥆌": [ - "ㄐㄩㄝ2" - ], - "𥆑": [ - "ㄊㄧㄥ4" - ], - "𥆔": [ - "ㄒㄧㄠ1" - ], - "𥆖": [ - "ㄉㄡ1" - ], - "𥆘": [ - "ㄍㄨㄛ2" - ], - "𥆙": [ - "ㄇㄤ2" - ], - "𥆚": [ - "ㄨㄤ1" - ], - "𥆛": [ - "ㄒㄩ4" - ], - "𥆜": [ - "ㄨㄤ4" - ], - "𥆝": [ - "ㄙㄨㄛ1" - ], - "𥆞": [ - "ㄐㄩㄢ4" - ], - "𥆟": [ - "ㄩㄝ4" - ], - "𥆡": [ - "ㄏㄢ2" - ], - "𥆣": [ - "ㄕㄣ1" - ], - "𥆥": [ - "ㄒㄧㄝ2" - ], - "𥆦": [ - "ㄌㄧㄡ2" - ], - "𥆧": [ - "ㄖㄨㄣ2" - ], - "𥆯": [ - "ㄅㄧ4" - ], - "𥆲": [ - "ㄋㄠ4" - ], - "𥆶": [ - "ㄨㄢ4" - ], - "𥆷": [ - "ㄐㄧㄡ4" - ], - "𥆸": [ - "ㄑㄩㄝ1" - ], - "𥇄": [ - "ㄋㄧ4" - ], - "𥇆": [ - "ㄇㄧ2" - ], - "𥇇": [ - "ㄙㄨㄛ1" - ], - "𥇉": [ - "ㄑㄧㄤ3" - ], - "𥇌": [ - "ㄏㄢ4", - "ㄑㄧㄚ4" - ], - "𥇍": [ - "ㄓㄨㄛ2" - ], - "𥇎": [ - "ㄇㄧ2" - ], - "𥇏": [ - "ㄒㄩ4" - ], - "𥇑": [ - "ㄌㄤ3" - ], - "𥇒": [ - "ㄐㄧㄝ2" - ], - "𥇓": [ - "ㄉㄧㄥ4" - ], - "𥇔": [ - "ㄔㄤ4", - "ㄓㄤ1" - ], - "𥇕": [ - "ㄓ4" - ], - "𥇖": [ - "ㄈㄟ1" - ], - "𥇗": [ - "ㄐㄧㄚ2" - ], - "𥇘": [ - "ㄐㄩㄣ4" - ], - "𥇙": [ - "ㄏㄨㄛ4" - ], - "𥇚": [ - "ㄑㄧ1" - ], - "𥇛": [ - "ㄐㄩ1", - "ㄐㄩ4", - "ㄒㄧ4" - ], - "𥇜": [ - "ㄓㄨㄣ1", - "ㄍㄨㄛ1" - ], - "𥇞": [ - "ㄉㄧㄢ4" - ], - "𥇟": [ - "ㄐㄧㄠ3" - ], - "𥇠": [ - "ㄧㄚ1" - ], - "𥇢": [ - "ㄓㄢ3" - ], - "𥇭": [ - "ㄓ1" - ], - "𥇯": [ - "ㄇㄞ4" - ], - "𥇰": [ - "ㄏㄨ1" - ], - "𥇱": [ - "ㄒㄧㄝ4" - ], - "𥇲": [ - "ㄕ2" - ], - "𥇳": [ - "ㄍㄨㄟ1" - ], - "𥇿": [ - "ㄒㄩ4" - ], - "𥈂": [ - "ㄐㄧ2" - ], - "𥈄": [ - "ㄔㄨㄤ4" - ], - "𥈆": [ - "ㄇㄠ4" - ], - "𥈇": [ - "ㄖㄨㄢ2" - ], - "𥈈": [ - "ㄒㄩ1" - ], - "𥈉": [ - "ㄏㄨㄢ4" - ], - "𥈊": [ - "ㄕㄚ4" - ], - "𥈋": [ - "ㄐㄩ3" - ], - "𥈏": [ - "ㄎㄨㄤ4" - ], - "𥈑": [ - "ㄏㄡ2" - ], - "𥈒": [ - "ㄍㄨㄢ1" - ], - "𥈓": [ - "ㄍㄨㄚ1" - ], - "𥈕": [ - "ㄇㄧ2" - ], - "𥈖": [ - "ㄉㄧㄝ2" - ], - "𥈗": [ - "ㄅㄧ4" - ], - "𥈘": [ - "ㄌㄧㄤ3" - ], - "𥈙": [ - "ㄌㄚ4" - ], - "𥈚": [ - "ㄕㄢ3" - ], - "𥈛": [ - "ㄌㄨ4" - ], - "𥈜": [ - "ㄒㄧ4" - ], - "𥈟": [ - "ㄙㄡ3" - ], - "𥈬": [ - "ㄡ1" - ], - "𥈮": [ - "ㄌㄥ2" - ], - "𥈷": [ - "ㄎㄨ1" - ], - "𥈸": [ - "ㄍㄨㄟ1" - ], - "𥈻": [ - "ㄒㄧ1" - ], - "𥈼": [ - "ㄆㄢ2", - "ㄆㄢ1" - ], - "𥈽": [ - "ㄙㄜ4" - ], - "𥈾": [ - "ㄐㄩㄝ4" - ], - "𥈿": [ - "ㄏㄨㄥ4" - ], - "𥉀": [ - "ㄍㄨㄢ4" - ], - "𥉁": [ - "ㄐㄩ4" - ], - "𥉃": [ - "ㄋㄞ4" - ], - "𥉄": [ - "ㄏㄨㄚ2" - ], - "𥉅": [ - "ㄍㄜ2" - ], - "𥉆": [ - "ㄌㄧ4" - ], - "𥉇": [ - "ㄍㄡ4" - ], - "𥉈": [ - "ㄊㄧ4" - ], - "𥉊": [ - "ㄇㄚ4" - ], - "𥉋": [ - "ㄊㄥ2" - ], - "𥉌": [ - "ㄉㄚ2" - ], - "𥉐": [ - "ㄑㄧ1" - ], - "𥉑": [ - "ㄩ4", - "ㄏㄜ4" - ], - "𥉒": [ - "ㄐㄧㄠ3" - ], - "𥉓": [ - "ㄇㄧㄝ4" - ], - "𥉔": [ - "ㄍㄥ3" - ], - "𥉕": [ - "ㄇㄥ4", - "ㄇㄥ2" - ], - "𥉖": [ - "ㄨㄟ4" - ], - "𥉘": [ - "ㄊㄧ2" - ], - "𥉙": [ - "ㄑㄧ2" - ], - "𥉜": [ - "ㄔㄣ2" - ], - "𥉝": [ - "ㄉㄡ1" - ], - "𥉟": [ - "ㄆㄢ2" - ], - "𥉰": [ - "ㄏㄢ4", - "ㄑㄧㄚ4" - ], - "𥉴": [ - "ㄇㄧ4" - ], - "𥉵": [ - "ㄇㄚ2" - ], - "𥉶": [ - "ㄌㄨ4" - ], - "𥉷": [ - "ㄑㄧ1" - ], - "𥉸": [ - "ㄎㄥ1" - ], - "𥉺": [ - "ㄉㄧㄝ2" - ], - "𥉻": [ - "ㄑㄧ4" - ], - "𥉼": [ - "ㄐㄧㄠ1" - ], - "𥉽": [ - "ㄎㄤ1" - ], - "𥉾": [ - "ㄑㄧㄠ1" - ], - "𥉿": [ - "ㄇㄧ4" - ], - "𥊀": [ - "ㄕㄢ1", - "ㄙㄢ3" - ], - "𥊇": [ - "ㄐㄧㄢ1" - ], - "𥊈": [ - "ㄌㄧ2" - ], - "𥊉": [ - "ㄎㄜ4" - ], - "𥊊": [ - "ㄒㄩ4" - ], - "𥊑": [ - "ㄇㄢ2", - "ㄇㄢ4" - ], - "𥊒": [ - "ㄈㄥ4" - ], - "𥊓": [ - "ㄔㄢ4" - ], - "𥊔": [ - "ㄏㄨㄟ3" - ], - "𥊧": [ - "ㄎㄡ4" - ], - "𥊪": [ - "ㄨㄟ3" - ], - "𥊫": [ - "ㄍㄨㄢ4" - ], - "𥊬": [ - "ㄐㄧ2" - ], - "𥊭": [ - "ㄗㄨㄣ4" - ], - "𥊮": [ - "ㄏㄨㄛ4" - ], - "𥊯": [ - "ㄒㄧㄝ2" - ], - "𥊴": [ - "ㄙㄨㄟ4" - ], - "𥊶": [ - "ㄖㄨㄢ3" - ], - "𥊸": [ - "ㄊㄜ4" - ], - "𥊼": [ - "ㄓㄥ4" - ], - "𥊽": [ - "ㄎㄨㄣ1" - ], - "𥊾": [ - "ㄒㄧㄤ3" - ], - "𥊿": [ - "ㄇㄧㄢ2" - ], - "𥋁": [ - "ㄒㄧ4" - ], - "𥋌": [ - "ㄙㄚ1" - ], - "𥋙": [ - "ㄜ4" - ], - "𥋚": [ - "ㄇㄧㄝ4" - ], - "𥋛": [ - "ㄓㄨ3" - ], - "𥋜": [ - "ㄗㄡ1" - ], - "𥋝": [ - "ㄇㄥ3" - ], - "𥋟": [ - "ㄒㄧ1" - ], - "𥋡": [ - "ㄊㄤ2" - ], - "𥋣": [ - "ㄐㄧㄚ4" - ], - "𥋤": [ - "ㄔㄤ2" - ], - "𥋥": [ - "ㄐㄧ2" - ], - "𥋮": [ - "ㄓㄨㄛ2" - ], - "𥋿": [ - "ㄏㄜ4" - ], - "𥌀": [ - "ㄔㄚ2" - ], - "𥌁": [ - "ㄑㄧ4" - ], - "𥌂": [ - "ㄇㄧㄢ2" - ], - "𥌃": [ - "ㄓㄣ3" - ], - "𥌄": [ - "ㄎㄨ1" - ], - "𥌅": [ - "ㄧㄝ4" - ], - "𥌆": [ - "ㄓㄡ1" - ], - "𥌈": [ - "ㄐㄧㄢ1" - ], - "𥌊": [ - "ㄆㄢ4" - ], - "𥌍": [ - "ㄏㄨㄟ1" - ], - "𥌏": [ - "ㄇㄧㄥ2" - ], - "𥌐": [ - "ㄌㄧㄡ4" - ], - "𥌘": [ - "ㄕㄨㄟ4" - ], - "𥌚": [ - "ㄇㄞ4", - "ㄧㄚ2", - "ㄕㄨ4" - ], - "𥌛": [ - "ㄌㄧ2" - ], - "𥌞": [ - "ㄕㄨㄛ4" - ], - "𥌟": [ - "ㄧ2" - ], - "𥌤": [ - "ㄌㄧ4" - ], - "𥌨": [ - "ㄒㄧㄝ1", - "ㄇㄧㄝ4" - ], - "𥌩": [ - "ㄊㄜ4" - ], - "𥌪": [ - "ㄒㄧㄡ1" - ], - "𥌭": [ - "ㄒㄩㄢ4" - ], - "𥌮": [ - "ㄌㄧ4" - ], - "𥌯": [ - "ㄇㄥ2" - ], - "𥌰": [ - "ㄨㄟ2" - ], - "𥌱": [ - "ㄇㄥ2" - ], - "𥌺": [ - "ㄧㄠ4" - ], - "𥌻": [ - "ㄌㄢ2" - ], - "𥌼": [ - "ㄌㄧㄥ2" - ], - "𥌽": [ - "ㄧㄥ1" - ], - "𥌾": [ - "ㄧㄥ1" - ], - "𥌿": [ - "ㄌㄧ4" - ], - "𥍀": [ - "ㄐㄧㄢ3" - ], - "𥍁": [ - "ㄍㄨㄟ1", - "ㄍㄨㄟ4" - ], - "𥍅": [ - "ㄍㄨㄢ1" - ], - "𥍆": [ - "ㄒㄧㄝ4" - ], - "𥍉": [ - "ㄕㄜ4" - ], - "𥍋": [ - "ㄗㄨㄟ1", - "ㄒㄧㄝ1", - "ㄏㄨㄟ3" - ], - "𥍓": [ - "ㄎㄢ4", - "ㄧㄢ3" - ], - "𥍔": [ - "ㄌㄟ2" - ], - "𥍚": [ - "ㄅㄧㄢ4" - ], - "𥍝": [ - "ㄕㄨ3" - ], - "𥍞": [ - "ㄋㄩ4" - ], - "𥍟": [ - "ㄒㄩ4", - "ㄧ4" - ], - "𥍣": [ - "ㄏㄠ4" - ], - "𥍨": [ - "ㄍㄨㄟ3" - ], - "𥍪": [ - "ㄓㄞ4" - ], - "𥍫": [ - "ㄌㄤ2" - ], - "𥍬": [ - "ㄘㄨㄢ1" - ], - "𥍭": [ - "ㄓ4" - ], - "𥍮": [ - "ㄈㄥ2", - "ㄈㄥ1" - ], - "𥍯": [ - "ㄑㄧㄣ1" - ], - "𥍱": [ - "ㄗㄜ2" - ], - "𥍲": [ - "ㄋㄚ4" - ], - "𥍳": [ - "ㄋㄧㄡ3" - ], - "𥍴": [ - "ㄧ4" - ], - "𥍷": [ - "ㄘㄨㄥ1" - ], - "𥍸": [ - "ㄕ1" - ], - "𥍹": [ - "ㄐㄧㄢ3" - ], - "𥍺": [ - "ㄗㄨㄥ1" - ], - "𥍻": [ - "ㄧㄢ3" - ], - "𥍼": [ - "ㄧㄥ1" - ], - "𥎀": [ - "ㄖㄨㄢ3" - ], - "𥎂": [ - "ㄖㄨㄥ2" - ], - "𥎃": [ - "ㄒㄧ4" - ], - "𥎅": [ - "ㄍㄨㄢ1" - ], - "𥎆": [ - "ㄎㄞ4" - ], - "𥎈": [ - "ㄨ4" - ], - "𥎊": [ - "ㄑㄧㄣ2" - ], - "𥎋": [ - "ㄘㄨㄥ1" - ], - "𥎍": [ - "ㄗㄜ2" - ], - "𥎎": [ - "ㄒㄧㄝ4" - ], - "𥎐": [ - "ㄩ4" - ], - "𥎑": [ - "ㄗㄢ4" - ], - "𥎒": [ - "ㄔㄨㄤ1" - ], - "𥎓": [ - "ㄌㄧ3" - ], - "𥎔": [ - "ㄌㄧ3" - ], - "𥎕": [ - "ㄒㄩ4" - ], - "𥎖": [ - "ㄇㄧ2" - ], - "𥎗": [ - "ㄒㄩ4" - ], - "𥎘": [ - "ㄖㄨㄢ3" - ], - "𥎛": [ - "ㄍㄨㄟ4" - ], - "𥎜": [ - "ㄖㄨㄥ3" - ], - "𥎟": [ - "ㄇㄠ2" - ], - "𥎡": [ - "ㄑㄧㄣ2" - ], - "𥎢": [ - "ㄘㄨㄢ4" - ], - "𥎣": [ - "ㄘㄨㄢ4" - ], - "𥎤": [ - "ㄘㄨㄢ4" - ], - "𥎮": [ - "ㄨ1" - ], - "𥎰": [ - "ㄈㄚ3" - ], - "𥎱": [ - "ㄅㄚ2" - ], - "𥎸": [ - "ㄑㄧㄚ4" - ], - "𥎹": [ - "ㄓ4" - ], - "𥎺": [ - "ㄊㄧㄠ4" - ], - "𥏄": [ - "ㄓ4" - ], - "𥏅": [ - "ㄓ2" - ], - "𥏇": [ - "ㄏㄨㄢ4" - ], - "𥏈": [ - "ㄔㄡ2" - ], - "𥏊": [ - "ㄓ4" - ], - "𥏎": [ - "ㄧㄥ3" - ], - "𥏒": [ - "ㄨ4" - ], - "𥏓": [ - "ㄅㄟ1" - ], - "𥏕": [ - "ㄏㄨㄥ2" - ], - "𥏖": [ - "ㄕㄣ3" - ], - "𥏘": [ - "ㄐㄩㄝ2" - ], - "𥏙": [ - "ㄎㄨㄟ4" - ], - "𥏜": [ - "ㄧ3" - ], - "𥏝": [ - "ㄧㄚ4" - ], - "𥏠": [ - "ㄅㄧ1" - ], - "𥏤": [ - "ㄎㄨㄚ4" - ], - "𥏥": [ - "ㄑㄧㄢ1" - ], - "𥏨": [ - "ㄓㄠ1" - ], - "𥏪": [ - "ㄎㄞ3" - ], - "𥏫": [ - "ㄕㄤ1" - ], - "𥏮": [ - "ㄢ4" - ], - "𥏯": [ - "ㄓㄜ2" - ], - "𥏰": [ - "ㄓ4" - ], - "𥏷": [ - "ㄓ4" - ], - "𥏹": [ - "ㄐㄧㄠ3" - ], - "𥐀": [ - "ㄙ1" - ], - "𥐁": [ - "ㄆㄨ2" - ], - "𥐂": [ - "ㄡ3" - ], - "𥐊": [ - "ㄓㄨㄛ2" - ], - "𥐑": [ - "ㄧㄥ1" - ], - "𥐓": [ - "ㄏㄨㄢ1" - ], - "𥐕": [ - "ㄧㄚ4" - ], - "𥐘": [ - "ㄕ2" - ], - "𥐙": [ - "ㄆㄚ1", - "ㄅㄚ1" - ], - "𥐚": [ - "ㄆㄨ3" - ], - "𥐞": [ - "ㄇㄤ2" - ], - "𥐟": [ - "ㄔㄞ1" - ], - "𥐩": [ - "ㄩㄣ2" - ], - "𥐬": [ - "ㄍㄨ3" - ], - "𥐹": [ - "ㄉㄢ3" - ], - "𥐻": [ - "ㄋㄠ2" - ], - "𥐽": [ - "ㄓㄜ2" - ], - "𥐿": [ - "ㄏㄨ2" - ], - "𥑅": [ - "ㄎㄥ1" - ], - "𥑇": [ - "ㄉㄧㄝ2" - ], - "𥑈": [ - "ㄊㄧㄥ1" - ], - "𥑋": [ - "ㄍㄨㄞ4" - ], - "𥑎": [ - "ㄑㄩㄥ1" - ], - "𥑏": [ - "ㄕ3" - ], - "𥑐": [ - "ㄐㄧㄚ3" - ], - "𥑑": [ - "ㄠ4" - ], - "𥑒": [ - "ㄋㄚ3", - "ㄎㄥ1" - ], - "𥑓": [ - "ㄆㄧㄣ3" - ], - "𥑔": [ - "ㄐㄧㄚ2" - ], - "𥑡": [ - "ㄓㄜ4" - ], - "𥑢": [ - "ㄅㄨ4" - ], - "𥑣": [ - "ㄨㄛ3" - ], - "𥑥": [ - "ㄔㄚ3" - ], - "𥑪": [ - "ㄋㄠ2" - ], - "𥑫": [ - "ㄎㄢ1", - "ㄎㄢ3" - ], - "𥑯": [ - "ㄉㄨ2" - ], - "𥑰": [ - "ㄍㄨㄞ4" - ], - "𥑱": [ - "ㄑㄩㄥ2" - ], - "𥑳": [ - "ㄖㄨㄥ2" - ], - "𥑴": [ - "ㄧ3" - ], - "𥑵": [ - "ㄉㄨㄟ1" - ], - "𥑶": [ - "ㄌㄟ3" - ], - "𥑸": [ - "ㄓㄡ1" - ], - "𥑹": [ - "ㄎㄨㄚ1" - ], - "𥑺": [ - "ㄜ1" - ], - "𥑻": [ - "ㄒㄧㄢ1" - ], - "𥑼": [ - "ㄉㄧㄢ4" - ], - "𥑽": [ - "ㄋㄨㄛ4" - ], - "𥑾": [ - "ㄜ4" - ], - "𥑿": [ - "ㄩㄥ1" - ], - "𥒀": [ - "ㄨ4" - ], - "𥒁": [ - "ㄎㄥ1" - ], - "𥒓": [ - "ㄓ4" - ], - "𥒗": [ - "ㄓ3" - ], - "𥒘": [ - "ㄒㄩㄣ2" - ], - "𥒛": [ - "ㄓㄥ4" - ], - "𥒞": [ - "ㄧㄤ2" - ], - "𥒠": [ - "ㄏㄨㄛ4" - ], - "𥒡": [ - "ㄐㄧ2" - ], - "𥒢": [ - "ㄋㄠ3", - "ㄌㄧ4" - ], - "𥒧": [ - "ㄧㄚ4" - ], - "𥒨": [ - "ㄌㄨ4" - ], - "𥒫": [ - "ㄈㄨ1" - ], - "𥒬": [ - "ㄙㄢ3" - ], - "𥒭": [ - "ㄔㄨ4" - ], - "𥒮": [ - "ㄨㄟ3" - ], - "𥒰": [ - "ㄈㄨ3" - ], - "𥒱": [ - "ㄎㄥ1" - ], - "𥒲": [ - "ㄙ4" - ], - "𥒳": [ - "ㄎㄤ4" - ], - "𥒵": [ - "ㄧ4" - ], - "𥒶": [ - "ㄏㄨㄚ4" - ], - "𥒾": [ - "ㄩ3" - ], - "𥓃": [ - "ㄌㄧ4" - ], - "𥓆": [ - "ㄌㄧㄣ3" - ], - "𥓇": [ - "ㄉㄨ3" - ], - "𥓈": [ - "ㄜ4" - ], - "𥓌": [ - "ㄑㄧㄤ3" - ], - "𥓍": [ - "ㄉㄨ2" - ], - "𥓐": [ - "ㄐㄧㄝ2" - ], - "𥓑": [ - "ㄔㄨㄛ4" - ], - "𥓒": [ - "ㄒㄧㄢ4", - "ㄎㄢ4" - ], - "𥓖": [ - "ㄍㄠ3" - ], - "𥓬": [ - "ㄉㄠ4" - ], - "𥓰": [ - "ㄏㄨㄥ1" - ], - "𥓻": [ - "ㄗㄨㄥ1" - ], - "𥓾": [ - "ㄑㄧ4" - ], - "𥓿": [ - "ㄊㄨㄛ2" - ], - "𥔀": [ - "ㄏㄨㄥ1" - ], - "𥔁": [ - "ㄆㄧ3" - ], - "𥔂": [ - "ㄍㄥ4" - ], - "𥔄": [ - "ㄋㄧㄝ4" - ], - "𥔇": [ - "ㄎㄨㄥ1" - ], - "𥔊": [ - "ㄓ3" - ], - "𥔑": [ - "ㄒㄧㄠ3" - ], - "𥔡": [ - "ㄕㄜ4" - ], - "𥔢": [ - "ㄩ2" - ], - "𥔣": [ - "ㄐㄧㄤ1" - ], - "𥔩": [ - "ㄑㄧ3" - ], - "𥔪": [ - "ㄔㄣ3" - ], - "𥔫": [ - "ㄙㄤ3" - ], - "𥔭": [ - "ㄙㄨㄛ3" - ], - "𥔮": [ - "ㄑㄧㄢ2" - ], - "𥔯": [ - "ㄏㄨㄟ4" - ], - "𥔱": [ - "ㄕㄢ4" - ], - "𥔲": [ - "ㄜ4" - ], - "𥔻": [ - "ㄑㄧㄡ1" - ], - "𥔽": [ - "ㄎㄜ4" - ], - "𥕀": [ - "ㄨㄥ1" - ], - "𥕁": [ - "ㄗ1" - ], - "𥕂": [ - "ㄐㄧ2" - ], - "𥕇": [ - "ㄉㄚ3" - ], - "𥕉": [ - "ㄘㄨㄛ4" - ], - "𥕍": [ - "ㄌㄡ3" - ], - "𥕎": [ - "ㄎㄤ1" - ], - "𥕏": [ - "ㄎㄨㄛ4" - ], - "𥕐": [ - "ㄉㄧ2" - ], - "𥕑": [ - "ㄑㄧㄝ1", - "ㄐㄩ1" - ], - "𥕓": [ - "ㄇㄛ4" - ], - "𥕖": [ - "ㄍㄨㄛ3" - ], - "𥕗": [ - "ㄏㄨㄥ1" - ], - "𥕘": [ - "ㄔㄠ2", - "ㄙㄨㄛ3" - ], - "𥕙": [ - "ㄏㄟ1" - ], - "𥕢": [ - "ㄘㄠ2" - ], - "𥕣": [ - "ㄓㄜ2" - ], - "𥕦": [ - "ㄍㄨㄣ3" - ], - "𥕰": [ - "ㄒㄩ1" - ], - "𥕱": [ - "ㄆㄥ2", - "ㄆㄥ1" - ], - "𥕲": [ - "ㄐㄩㄝ2" - ], - "𥕵": [ - "ㄍㄢ3" - ], - "𥕶": [ - "ㄙ1" - ], - "𥕸": [ - "ㄙㄨㄟ4" - ], - "𥕹": [ - "ㄑㄩㄝ4" - ], - "𥕻": [ - "ㄨ2", - "ㄨ3" - ], - "𥕼": [ - "ㄧㄢ2" - ], - "𥕽": [ - "ㄆㄥ4" - ], - "𥕾": [ - "ㄒㄧㄠ3" - ], - "𥕿": [ - "ㄆㄢ1" - ], - "𥖍": [ - "ㄌㄚ4" - ], - "𥖗": [ - "ㄅㄥ4" - ], - "𥖘": [ - "ㄓㄣ3" - ], - "𥖙": [ - "ㄐㄧ2" - ], - "𥖜": [ - "ㄐㄧㄣ3" - ], - "𥖝": [ - "ㄌㄧㄢ2" - ], - "𥖞": [ - "ㄎㄣ3" - ], - "𥖠": [ - "ㄓㄡ2", - "ㄉㄨ2" - ], - "𥖨": [ - "ㄗㄠ4" - ], - "𥖪": [ - "ㄌㄜ4" - ], - "𥖫": [ - "ㄑㄧ1" - ], - "𥖬": [ - "ㄅㄧㄥ4" - ], - "𥖵": [ - "ㄧㄣ3" - ], - "𥖶": [ - "ㄆㄧㄣ1" - ], - "𥖻": [ - "ㄙㄡ3" - ], - "𥖼": [ - "ㄌㄩ4" - ], - "𥖾": [ - "ㄉㄧ2" - ], - "𥖿": [ - "ㄉㄨ2" - ], - "𥗀": [ - "ㄌㄧㄠ3" - ], - "𥗁": [ - "ㄓㄨㄛ2" - ], - "𥗊": [ - "ㄔㄤ3" - ], - "𥗒": [ - "ㄔㄣ4" - ], - "𥗓": [ - "ㄊㄚ4" - ], - "𥗙": [ - "ㄑㄩㄝ4" - ], - "𥗚": [ - "ㄉㄠ4" - ], - "𥗝": [ - "ㄖㄤ3" - ], - "𥗟": [ - "ㄆㄛ4" - ], - "𥗦": [ - "ㄓㄨㄥ1" - ], - "𥗧": [ - "ㄒㄧㄝ1" - ], - "𥗪": [ - "ㄐㄧㄤ1" - ], - "𥗫": [ - "ㄑㄩ2" - ], - "𥗬": [ - "ㄌㄟ3" - ], - "𥗭": [ - "ㄘㄚ4" - ], - "𥗮": [ - "ㄑㄩㄝ1" - ], - "𥗵": [ - "ㄒㄧㄤ4" - ], - "𥗶": [ - "ㄌㄟ4" - ], - "𥗺": [ - "ㄌㄢ4" - ], - "𥗽": [ - "ㄌㄢ2" - ], - "𥗿": [ - "ㄌㄚ3" - ], - "𥘁": [ - "ㄌㄚ3" - ], - "𥘄": [ - "ㄩ4" - ], - "𥘊": [ - "ㄐㄧㄠ4" - ], - "𥘋": [ - "ㄑㄧㄣ2" - ], - "𥘌": [ - "ㄐㄧ1" - ], - "𥘏": [ - "ㄍㄢ3" - ], - "𥘒": [ - "ㄧ4" - ], - "𥘠": [ - "ㄧ4" - ], - "𥘡": [ - "ㄓ1" - ], - "𥘤": [ - "ㄅㄧㄠ3" - ], - "𥘥": [ - "ㄕㄥ1" - ], - "𥘦": [ - "ㄐㄧㄡ4", - "ㄕㄜ4" - ], - "𥘫": [ - "ㄏㄜ1" - ], - "𥘬": [ - "ㄈㄨ2" - ], - "𥘮": [ - "ㄐㄩ1" - ], - "𥙀": [ - "ㄗㄨㄛ3" - ], - "𥙁": [ - "ㄧ2" - ], - "𥙆": [ - "ㄒㄧㄢ4", - "ㄓ1" - ], - "𥙇": [ - "ㄧ2" - ], - "𥙉": [ - "ㄙ4", - "ㄊㄞ2" - ], - "𥙋": [ - "ㄔㄨㄟ4" - ], - "𥙎": [ - "ㄇㄛ4" - ], - "𥙡": [ - "ㄓㄢ1" - ], - "𥙣": [ - "ㄒㄩㄣ2" - ], - "𥙦": [ - "ㄖㄨ2" - ], - "𥙨": [ - "ㄏㄨㄛ4" - ], - "𥙬": [ - "ㄕㄠ1" - ], - "𥙰": [ - "ㄕㄡ4" - ], - "𥙾": [ - "ㄧㄡ4" - ], - "𥙿": [ - "ㄩ4" - ], - "𥚂": [ - "ㄐㄩㄣ4" - ], - "𥚉": [ - "ㄗ1" - ], - "𥚊": [ - "ㄌㄨ4" - ], - "𥚚": [ - "ㄔ3" - ], - "𥚛": [ - "ㄎㄨㄣ1" - ], - "𥚠": [ - "ㄓㄨㄣ4" - ], - "𥚦": [ - "ㄏㄡ2" - ], - "𥚩": [ - "ㄒㄩ3" - ], - "𥚾": [ - "ㄗㄨㄥ1" - ], - "𥚿": [ - "ㄧㄥ4" - ], - "𥛂": [ - "ㄓㄨ1" - ], - "𥛅": [ - "ㄌㄧㄡ4" - ], - "𥛑": [ - "ㄋㄨ4" - ], - "𥛘": [ - "ㄅㄧ4" - ], - "𥛚": [ - "ㄔ4" - ], - "𥛜": [ - "ㄗㄨ3" - ], - "𥛝": [ - "ㄈㄥ2" - ], - "𥛞": [ - "ㄌㄨ4" - ], - "𥛟": [ - "ㄆㄨ3" - ], - "𥛥": [ - "ㄓㄨㄢ4" - ], - "𥛧": [ - "ㄓㄜ2" - ], - "𥛨": [ - "ㄕ1" - ], - "𥛩": [ - "ㄩ3" - ], - "𥛪": [ - "ㄌㄨ4" - ], - "𥛫": [ - "ㄌㄧㄤ2" - ], - "𥛯": [ - "ㄐㄩㄝ2" - ], - "𥛰": [ - "ㄌㄧㄠ4" - ], - "𥛱": [ - "ㄅㄥ1" - ], - "𥜃": [ - "ㄧ4" - ], - "𥜄": [ - "ㄍㄨㄢ1" - ], - "𥜌": [ - "ㄠ3" - ], - "𥜏": [ - "ㄍㄨㄟ4" - ], - "𥜐": [ - "ㄇㄧㄣ3" - ], - "𥜒": [ - "ㄧㄢ3" - ], - "𥜓": [ - "ㄌㄢ2" - ], - "𥜖": [ - "ㄅㄛ2" - ], - "𥜙": [ - "ㄗㄢ4" - ], - "𥜚": [ - "ㄧㄡ3" - ], - "𥜥": [ - "ㄧ4" - ], - "𥜦": [ - "ㄋㄧ3", - "ㄒㄧㄢ3" - ], - "𥜬": [ - "ㄋㄧ3", - "ㄒㄧㄢ3" - ], - "𥜭": [ - "ㄍㄨㄛ3" - ], - "𥜮": [ - "ㄐㄩㄣ4" - ], - "𥜰": [ - "ㄕ1" - ], - "𥜲": [ - "ㄒㄧㄢ3", - "ㄐㄧㄢ3" - ], - "𥜴": [ - "ㄑㄧㄢ1" - ], - "𥜵": [ - "ㄑㄩㄝ4" - ], - "𥜶": [ - "ㄎㄨㄟ2" - ], - "𥝀": [ - "ㄕㄜ2" - ], - "𥝂": [ - "ㄏㄨㄛ4" - ], - "𥝄": [ - "ㄨㄢ4" - ], - "𥝊": [ - "ㄈㄟ4" - ], - "𥝋": [ - "ㄈㄟ4" - ], - "𥝌": [ - "ㄐㄧ1" - ], - "𥝍": [ - "ㄩ4", - "ㄨㄤ2" - ], - "𥝑": [ - "ㄓ1" - ], - "𥝒": [ - "ㄍㄨㄚ4" - ], - "𥝔": [ - "ㄐㄧㄝ2" - ], - "𥝕": [ - "ㄇㄤ2" - ], - "𥝖": [ - "ㄏㄜ2", - "ㄒㄧㄝ2" - ], - "𥝘": [ - "ㄧㄡ3" - ], - "𥝟": [ - "ㄉㄨ4" - ], - "𥝠": [ - "ㄙ1", - "ㄒㄧㄡ4" - ], - "𥝢": [ - "ㄌㄧ4" - ], - "𥝥": [ - "ㄐㄧㄝ2" - ], - "𥝦": [ - "ㄋㄧㄡ3" - ], - "𥝧": [ - "ㄅㄚ4" - ], - "𥝨": [ - "ㄩ2" - ], - "𥝮": [ - "ㄓ1" - ], - "𥝸": [ - "ㄏㄜ2" - ], - "𥝹": [ - "ㄎㄜ1" - ], - "𥝾": [ - "ㄉㄨ4", - "ㄓㄚ4" - ], - "𥝿": [ - "ㄐㄧㄚ1" - ], - "𥞁": [ - "ㄔㄣ1" - ], - "𥞃": [ - "ㄔㄨㄟ4", - "ㄕㄨ4" - ], - "𥞄": [ - "ㄏㄜ2" - ], - "𥞅": [ - "ㄓㄞ3" - ], - "𥞊": [ - "ㄇㄟ4" - ], - "𥞍": [ - "ㄏㄜ2" - ], - "𥞎": [ - "ㄗ3" - ], - "𥞏": [ - "ㄓㄨ2" - ], - "𥞒": [ - "ㄊㄨㄛ2" - ], - "𥞘": [ - "ㄗㄨㄣ4" - ], - "𥞚": [ - "ㄖㄨ2" - ], - "𥞛": [ - "ㄉㄨㄛ4" - ], - "𥞜": [ - "ㄐㄧㄤ4" - ], - "𥞧": [ - "ㄏㄥ2" - ], - "𥞩": [ - "ㄅㄥ1", - "ㄏㄜ2" - ], - "𥞪": [ - "ㄇㄛ4", - "ㄇㄧ3" - ], - "𥞯": [ - "ㄗㄨ2" - ], - "𥞲": [ - "ㄅㄧㄝ1" - ], - "𥞴": [ - "ㄎㄨ4" - ], - "𥞵": [ - "ㄐㄧㄚ2" - ], - "𥞺": [ - "ㄓㄨㄛ1" - ], - "𥞼": [ - "ㄒㄧㄡ1" - ], - "𥟃": [ - "ㄏㄜ2" - ], - "𥟅": [ - "ㄑㄧㄠ1" - ], - "𥟍": [ - "ㄈㄟ3" - ], - "𥟎": [ - "ㄕㄥ1" - ], - "𥟒": [ - "ㄓㄨㄟ4" - ], - "𥟓": [ - "ㄎㄨㄢ3" - ], - "𥟔": [ - "ㄗㄜ4" - ], - "𥟕": [ - "ㄒㄧㄢ1" - ], - "𥟗": [ - "ㄅㄧ4" - ], - "𥟘": [ - "ㄧ4" - ], - "𥟚": [ - "ㄔㄤ4" - ], - "𥟪": [ - "ㄇㄠ4" - ], - "𥟶": [ - "ㄨㄢ3" - ], - "𥟽": [ - "ㄨ1" - ], - "𥟾": [ - "ㄎㄨ1" - ], - "𥟿": [ - "ㄨㄛ3" - ], - "𥠀": [ - "ㄒㄧㄥ1" - ], - "𥠁": [ - "ㄎㄜ1" - ], - "𥠃": [ - "ㄐㄧㄡ1" - ], - "𥠄": [ - "ㄉㄨㄢ1" - ], - "𥠅": [ - "ㄏㄨㄢ4" - ], - "𥠈": [ - "ㄓ4", - "ㄐㄧ4" - ], - "𥠉": [ - "ㄘㄜ4" - ], - "𥠊": [ - "ㄖㄡ2" - ], - "𥠋": [ - "ㄐㄧ2" - ], - "𥠍": [ - "ㄧㄝ4" - ], - "𥠛": [ - "ㄐㄧㄥ1" - ], - "𥠜": [ - "ㄧㄤ4" - ], - "𥠡": [ - "ㄗㄨㄥ3" - ], - "𥠩": [ - "ㄘㄢ3" - ], - "𥠱": [ - "ㄙ1" - ], - "𥠲": [ - "ㄌㄧ4" - ], - "𥠳": [ - "ㄍㄨ3" - ], - "𥠴": [ - "ㄔㄤ4" - ], - "𥠶": [ - "ㄈㄟ3" - ], - "𥠷": [ - "ㄌㄧㄡ2" - ], - "𥠹": [ - "ㄐㄧㄝ2" - ], - "𥠺": [ - "ㄩㄣ1" - ], - "𥠽": [ - "ㄓ4" - ], - "𥡀": [ - "ㄔㄡ2" - ], - "𥡁": [ - "ㄅㄧㄝ1" - ], - "𥡒": [ - "ㄐㄧ1" - ], - "𥡜": [ - "ㄌㄨㄛ2", - "ㄙㄨㄟ4" - ], - "𥡝": [ - "ㄐㄧㄢ1", - "ㄑㄧㄢ1" - ], - "𥡟": [ - "ㄔㄨㄤ1" - ], - "𥡠": [ - "ㄕㄨㄤ3" - ], - "𥡢": [ - "ㄌㄩ4" - ], - "𥡣": [ - "ㄐㄩㄣ4" - ], - "𥡤": [ - "ㄐㄧㄠ4" - ], - "𥡦": [ - "ㄊㄧ4", - "ㄉㄧ4" - ], - "𥡧": [ - "ㄓㄚ1" - ], - "𥡪": [ - "ㄧ4" - ], - "𥡬": [ - "ㄘㄨㄥ1" - ], - "𥡭": [ - "ㄋㄟ3" - ], - "𥡮": [ - "ㄐㄧㄚ1" - ], - "𥡴": [ - "ㄐㄧ4" - ], - "𥡽": [ - "ㄞ4" - ], - "𥢇": [ - "ㄐㄧㄢ3" - ], - "𥢊": [ - "ㄅㄣ4" - ], - "𥢌": [ - "ㄈㄢ2" - ], - "𥢍": [ - "ㄏㄨ4", - "ㄙㄨㄟ4" - ], - "𥢎": [ - "ㄗㄨㄣ4" - ], - "𥢏": [ - "ㄉㄧㄢ4" - ], - "𥢐": [ - "ㄍㄠ1" - ], - "𥢑": [ - "ㄍㄠ3", - "ㄏㄠ4" - ], - "𥢒": [ - "ㄌㄠ2", - "ㄌㄠ4" - ], - "𥢔": [ - "ㄓㄨㄛ2", - "ㄓㄠ4" - ], - "𥢟": [ - "ㄏㄨ4" - ], - "𥢢": [ - "ㄊㄨㄟ2" - ], - "𥢦": [ - "ㄅㄧ4" - ], - "𥢧": [ - "ㄐㄩ2", - "ㄧ4" - ], - "𥢮": [ - "ㄏㄨㄚ2" - ], - "𥢲": [ - "ㄔㄥ2" - ], - "𥢶": [ - "ㄎㄨㄞ4" - ], - "𥢷": [ - "ㄉㄤ1" - ], - "𥢸": [ - "ㄍㄜ2" - ], - "𥢹": [ - "ㄒㄧㄝ2" - ], - "𥢻": [ - "ㄐㄧㄝ2" - ], - "𥢽": [ - "ㄘㄢ1" - ], - "𥣆": [ - "ㄗㄨ2" - ], - "𥣈": [ - "ㄆㄨ2" - ], - "𥣋": [ - "ㄕㄨ3" - ], - "𥣌": [ - "ㄅㄨ3" - ], - "𥣗": [ - "ㄋㄧㄥ2" - ], - "𥣘": [ - "ㄧㄢ3" - ], - "𥣙": [ - "ㄓㄡ4", - "ㄘㄨㄥ4" - ], - "𥣛": [ - "ㄇㄥ2" - ], - "𥣝": [ - "ㄅㄧㄢ3" - ], - "𥣟": [ - "ㄒㄧㄤ4" - ], - "𥣤": [ - "ㄌㄨ4" - ], - "𥣥": [ - "ㄌㄧ2" - ], - "𥣩": [ - "ㄐㄧ4" - ], - "𥣫": [ - "ㄇㄧㄝ4" - ], - "𥣬": [ - "ㄌㄟ4" - ], - "𥣮": [ - "ㄓ4" - ], - "𥣯": [ - "ㄧㄡ1" - ], - "𥣰": [ - "ㄅㄧㄢ3" - ], - "𥣸": [ - "ㄇㄨ4" - ], - "𥣹": [ - "ㄖㄢ4" - ], - "𥣺": [ - "ㄖㄢ4" - ], - "𥤂": [ - "ㄋㄧㄠ3" - ], - "𥤊": [ - "ㄑㄩㄢ2" - ], - "𥤋": [ - "ㄓㄜ2" - ], - "𥤐": [ - "ㄌㄟ4", - "ㄌㄟ2" - ], - "𥤗": [ - "ㄉㄤ3" - ], - "𥤘": [ - "ㄐㄩㄝ2" - ], - "𥤜": [ - "ㄌㄧㄥ2" - ], - "𥤞": [ - "ㄌㄧㄥ2" - ], - "𥤟": [ - "ㄧㄢ2" - ], - "𥤣": [ - "ㄧㄠ3" - ], - "𥤤": [ - "ㄓㄣ4" - ], - "𥤥": [ - "ㄑㄧ1" - ], - "𥤦": [ - "ㄞ4" - ], - "𥤨": [ - "ㄋㄨ2" - ], - "𥤩": [ - "ㄇㄤ3" - ], - "𥤱": [ - "ㄎㄢ3", - "ㄏㄢ1" - ], - "𥤳": [ - "ㄐㄧㄡ1", - "ㄘㄨㄢ4" - ], - "𥤴": [ - "ㄧㄢ3" - ], - "𥤵": [ - "ㄇㄧㄢ4" - ], - "𥤷": [ - "ㄧㄣ2" - ], - "𥤸": [ - "ㄨㄢ2" - ], - "𥤹": [ - "ㄧㄠ4", - "ㄧㄠ3" - ], - "𥤺": [ - "ㄨㄚ1" - ], - "𥤻": [ - "ㄆㄧ2" - ], - "𥤼": [ - "ㄙㄨㄟ4" - ], - "𥥅": [ - "ㄎㄨㄥ3" - ], - "𥥈": [ - "ㄏㄨㄥ2", - "ㄨㄥ4" - ], - "𥥊": [ - "ㄇㄧㄥ3" - ], - "𥥋": [ - "ㄌㄧㄥ2" - ], - "𥥌": [ - "ㄧ4", - "ㄉㄧㄝ2" - ], - "𥥍": [ - "ㄕㄣ1", - "ㄕㄣ4" - ], - "𥥏": [ - "ㄗㄨㄛ4" - ], - "𥥛": [ - "ㄊㄨ1", - "ㄅㄚ2" - ], - "𥥝": [ - "ㄩㄥ4" - ], - "𥥟": [ - "ㄨㄚ4" - ], - "𥥠": [ - "ㄍㄨㄟ3" - ], - "𥥡": [ - "ㄏㄨㄥ4" - ], - "𥥥": [ - "ㄕ4" - ], - "𥥧": [ - "ㄒㄩㄥ4" - ], - "𥥩": [ - "ㄚ1", - "ㄒㄧㄤ4" - ], - "𥥱": [ - "ㄔㄥ2" - ], - "𥥳": [ - "ㄎㄥ1" - ], - "𥥴": [ - "ㄧ4" - ], - "𥥵": [ - "ㄧㄤ4" - ], - "𥥶": [ - "ㄊㄧㄥ2" - ], - "𥥷": [ - "ㄉㄡ4" - ], - "𥥸": [ - "ㄔㄚ2" - ], - "𥥹": [ - "ㄌㄧㄡ4" - ], - "𥥽": [ - "ㄑㄧㄡ2" - ], - "𥥾": [ - "ㄒㄩㄢ3" - ], - "𥥿": [ - "ㄕㄣ1" - ], - "𥦀": [ - "ㄎㄨㄢ1", - "ㄇㄧ4" - ], - "𥦁": [ - "ㄊㄨㄥ4" - ], - "𥦃": [ - "ㄑㄧㄢ3" - ], - "𥦅": [ - "ㄔㄡ4" - ], - "𥦊": [ - "ㄨㄣ3" - ], - "𥦌": [ - "ㄌㄨㄥ4" - ], - "𥦍": [ - "ㄢ3", - "ㄧㄢ3" - ], - "𥦔": [ - "ㄎㄢ3" - ], - "𥦖": [ - "ㄧㄠ3" - ], - "𥦘": [ - "ㄈㄨ2" - ], - "𥦜": [ - "ㄅㄥ4" - ], - "𥦝": [ - "ㄌㄢ3" - ], - "𥦞": [ - "ㄑㄧㄚ4" - ], - "𥦟": [ - "ㄉㄧㄢ4" - ], - "𥦢": [ - "ㄐㄧㄠ4" - ], - "𥦣": [ - "ㄍㄨㄟ1" - ], - "𥦥": [ - "ㄒㄩㄥ4" - ], - "𥦨": [ - "ㄎㄜ4" - ], - "𥦶": [ - "ㄒㄧㄢ4" - ], - "𥦷": [ - "ㄨㄥ4" - ], - "𥧂": [ - "ㄍㄨㄥ3" - ], - "𥧆": [ - "ㄡ3" - ], - "𥧇": [ - "ㄎㄜ1", - "ㄔㄠ2" - ], - "𥧋": [ - "ㄎㄨ1" - ], - "𥧑": [ - "ㄊㄧㄢ2", - "ㄉㄧㄢ1", - "ㄧㄢ3", - "ㄔㄢ3" - ], - "𥧒": [ - "ㄍㄡ4" - ], - "𥧓": [ - "ㄇㄚ3" - ], - "𥧕": [ - "ㄌㄧㄡ4" - ], - "𥧙": [ - "ㄨㄟ4" - ], - "𥧚": [ - "ㄨㄣ3" - ], - "𥧡": [ - "ㄍㄨㄥ4" - ], - "𥧣": [ - "ㄊㄨ2" - ], - "𥧤": [ - "ㄋㄧㄥ2" - ], - "𥧧": [ - "ㄇㄧ4" - ], - "𥧫": [ - "ㄌㄤ2" - ], - "𥧬": [ - "ㄑㄧㄢ3" - ], - "𥧭": [ - "ㄇㄢ2" - ], - "𥧮": [ - "ㄓㄜ2" - ], - "𥧰": [ - "ㄏㄨㄚ4" - ], - "𥧱": [ - "ㄩㄥ1" - ], - "𥧲": [ - "ㄐㄧㄣ4", - "ㄐㄧㄣ3" - ], - "𥧴": [ - "ㄇㄟ4" - ], - "𥧷": [ - "ㄈㄨ2" - ], - "𥧻": [ - "ㄑㄩ2" - ], - "𥨌": [ - "ㄌㄧㄡ4" - ], - "𥨍": [ - "ㄈㄨ4" - ], - "𥨎": [ - "ㄉㄢ4" - ], - "𥨐": [ - "ㄍㄨㄥ3" - ], - "𥨒": [ - "ㄘㄨㄟ4", - "ㄘㄨㄢ4" - ], - "𥨕": [ - "ㄒㄧㄥ3" - ], - "𥨜": [ - "ㄊㄨ1" - ], - "𥨝": [ - "ㄕㄡ4" - ], - "𥨪": [ - "ㄑㄩㄥ2" - ], - "𥨳": [ - "ㄖㄨㄥ2" - ], - "𥨻": [ - "ㄌㄧ4" - ], - "𥨿": [ - "ㄐㄧ1" - ], - "𥩀": [ - "ㄊㄨㄛ4" - ], - "𥩌": [ - "ㄊㄨㄥ2" - ], - "𥩒": [ - "ㄊㄢ2" - ], - "𥩔": [ - "ㄌㄧㄥ2" - ], - "𥩖": [ - "ㄧ4" - ], - "𥩗": [ - "ㄖㄨㄢ3" - ], - "𥩙": [ - "ㄆㄚ3" - ], - "𥩝": [ - "ㄘㄚ4" - ], - "𥩡": [ - "ㄩㄝ4" - ], - "𥩢": [ - "ㄑㄩㄝ4" - ], - "𥩣": [ - "ㄓㄨ4" - ], - "𥩤": [ - "ㄏㄞ4" - ], - "𥩱": [ - "ㄈㄚ2" - ], - "𥩲": [ - "ㄏㄞ4" - ], - "𥪀": [ - "ㄅㄨ1" - ], - "𥪁": [ - "ㄆㄧㄥ1" - ], - "𥪂": [ - "ㄌㄧㄝ4" - ], - "𥪊": [ - "ㄎㄨㄟ3", - "ㄐㄩㄝ2" - ], - "𥪋": [ - "ㄈㄨ2" - ], - "𥪌": [ - "ㄊㄧㄢ3" - ], - "𥪍": [ - "ㄨㄛ4" - ], - "𥪏": [ - "ㄐㄩ1" - ], - "𥪘": [ - "ㄓㄣ1" - ], - "𥪚": [ - "ㄈㄨ2" - ], - "𥪢": [ - "ㄌㄨㄥ2" - ], - "𥪦": [ - "ㄒㄧ4" - ], - "𥪧": [ - "ㄊㄧㄢ2" - ], - "𥪫": [ - "ㄐㄧ4" - ], - "𥪯": [ - "ㄧㄠ4", - "ㄑㄧㄠ2" - ], - "𥪱": [ - "ㄘㄨ4" - ], - "𥪴": [ - "ㄆㄤ4" - ], - "𥪵": [ - "ㄑㄧㄝ4" - ], - "𥪻": [ - "ㄌㄨㄥ2" - ], - "𥪼": [ - "ㄐㄧ3" - ], - "𥫂": [ - "ㄊㄨㄥ2" - ], - "𥫃": [ - "ㄧ2" - ], - "𥫅": [ - "ㄔㄤ1" - ], - "𥫋": [ - "ㄍㄨㄥ1" - ], - "𥫎": [ - "ㄉㄨㄥ4" - ], - "𥫖": [ - "ㄒㄧㄤ1" - ], - "𥫙": [ - "ㄊㄧㄥ3" - ], - "𥫛": [ - "ㄓㄨㄢ1" - ], - "𥫜": [ - "ㄧ3" - ], - "𥫝": [ - "ㄧ4" - ], - "𥫞": [ - "ㄗ3" - ], - "𥫟": [ - "ㄑㄧ3" - ], - "𥫢": [ - "ㄔㄚ3" - ], - "𥫬": [ - "ㄉㄨㄣ4" - ], - "𥫯": [ - "ㄔㄨㄥ1" - ], - "𥫰": [ - "ㄌㄨ4" - ], - "𥫱": [ - "ㄉㄨㄣ4" - ], - "𥫳": [ - "ㄈㄤ1" - ], - "𥫴": [ - "ㄕ4" - ], - "𥫵": [ - "ㄊㄧ4" - ], - "𥫶": [ - "ㄐㄧ1" - ], - "𥫷": [ - "ㄑㄧㄡ1" - ], - "𥫸": [ - "ㄕㄨㄟ3" - ], - "𥫹": [ - "ㄔㄣ2" - ], - "𥫼": [ - "ㄏㄨㄤ4" - ], - "𥫽": [ - "ㄕ5" - ], - "𥬀": [ - "ㄩㄣ2" - ], - "𥬆": [ - "ㄌㄨㄥ2" - ], - "𥬈": [ - "ㄇㄢ3" - ], - "𥬉": [ - "ㄍㄡ1" - ], - "𥬍": [ - "ㄒㄧㄢ1" - ], - "𥬎": [ - "ㄇㄛ4" - ], - "𥬐": [ - "ㄕㄣ3" - ], - "𥬒": [ - "ㄆㄛ1" - ], - "𥬓": [ - "ㄧㄠ4" - ], - "𥬔": [ - "ㄑㄩ1" - ], - "𥬕": [ - "ㄖㄢ3" - ], - "𥬙": [ - "ㄐㄩ4" - ], - "𥬜": [ - "ㄧㄣ3" - ], - "𥬝": [ - "ㄅㄞ2" - ], - "𥬞": [ - "ㄋㄧㄝ4" - ], - "𥬠": [ - "ㄔㄡ1" - ], - "𥬪": [ - "ㄖㄨㄥ2" - ], - "𥬫": [ - "ㄔㄨㄢ3" - ], - "𥬬": [ - "ㄋㄧㄝ4" - ], - "𥬭": [ - "ㄌㄧ4", - "ㄌㄧㄝ4" - ], - "𥬮": [ - "ㄐㄧㄤ1" - ], - "𥬯": [ - "ㄎㄠ3" - ], - "𥬰": [ - "ㄘㄜ4", - "ㄓㄚ4" - ], - "𥬱": [ - "ㄔㄨㄥ4" - ], - "𥬲": [ - "ㄓㄨㄚ1", - "ㄉㄨㄛ4" - ], - "𥬳": [ - "ㄗ3" - ], - "𥬴": [ - "ㄧㄤ2" - ], - "𥬼": [ - "ㄨㄣ3" - ], - "𥭋": [ - "ㄐㄧ4" - ], - "𥭌": [ - "ㄐㄧ4" - ], - "𥭐": [ - "ㄌㄩ4" - ], - "𥭑": [ - "ㄑㄧㄡ2" - ], - "𥭒": [ - "ㄉㄨㄣ4" - ], - "𥭓": [ - "ㄅㄠ2" - ], - "𥭔": [ - "ㄔㄢ1" - ], - "𥭖": [ - "ㄅㄛ2" - ], - "𥭘": [ - "ㄔ1" - ], - "𥭙": [ - "ㄓㄜ4", - "ㄋㄧㄝ4" - ], - "𥭚": [ - "ㄇㄤ4" - ], - "𥭜": [ - "ㄐㄧ4" - ], - "𥭝": [ - "ㄇㄧㄠ4" - ], - "𥭞": [ - "ㄩㄢ4" - ], - "𥭠": [ - "ㄨ2" - ], - "𥭡": [ - "ㄓ4" - ], - "𥭢": [ - "ㄆㄧㄥ1" - ], - "𥭥": [ - "ㄔㄨㄥ1" - ], - "𥭫": [ - "ㄇㄧ2" - ], - "𥭬": [ - "ㄈㄟ2" - ], - "𥭭": [ - "ㄘㄨㄛ1" - ], - "𥭮": [ - "ㄇㄥ2" - ], - "𥮍": [ - "ㄧㄣ2" - ], - "𥮎": [ - "ㄇㄤ3" - ], - "𥮏": [ - "ㄉㄧㄢ3" - ], - "𥮐": [ - "ㄉㄧㄠ1" - ], - "𥮒": [ - "ㄑㄧㄢ2", - "ㄓㄢ1" - ], - "𥮕": [ - "ㄏㄤ4" - ], - "𥮖": [ - "ㄓ2" - ], - "𥮗": [ - "ㄐㄩ2" - ], - "𥮘": [ - "ㄋㄧㄢ4" - ], - "𥮜": [ - "ㄇㄧ2" - ], - "𥮝": [ - "ㄍㄨ3" - ], - "𥮣": [ - "ㄓㄨㄚ1" - ], - "𥮤": [ - "ㄋㄧㄝ4" - ], - "𥮥": [ - "ㄓㄨㄛ2" - ], - "𥮧": [ - "ㄧㄝ4" - ], - "𥮨": [ - "ㄘㄨㄥ4" - ], - "𥮪": [ - "ㄒㄩ1", - "ㄐㄧ2" - ], - "𥮬": [ - "ㄒㄧ4" - ], - "𥮯": [ - "ㄅㄛ1" - ], - "𥮾": [ - "ㄘㄢ3", - "ㄗㄢ1" - ], - "𥯃": [ - "ㄧㄢ3" - ], - "𥯑": [ - "ㄐㄧㄣ3" - ], - "𥯔": [ - "ㄐㄩ3" - ], - "𥯕": [ - "ㄉㄤ4" - ], - "𥯖": [ - "ㄉㄨ4" - ], - "𥯘": [ - "ㄧㄝ2" - ], - "𥯙": [ - "ㄐㄧㄥ4" - ], - "𥯚": [ - "ㄎㄜ4" - ], - "𥯛": [ - "ㄌㄨㄛ4" - ], - "𥯜": [ - "ㄨㄟ3" - ], - "𥯝": [ - "ㄊㄨ1" - ], - "𥯞": [ - "ㄧㄡ2" - ], - "𥯟": [ - "ㄆㄞ4" - ], - "𥯡": [ - "ㄆㄧ2" - ], - "𥯢": [ - "ㄉㄧㄥ4" - ], - "𥯤": [ - "ㄨㄟ3" - ], - "𥯥": [ - "ㄔㄜ4" - ], - "𥯦": [ - "ㄐㄧㄢ4", - "ㄕㄚ4" - ], - "𥯨": [ - "ㄙ1" - ], - "𥯩": [ - "ㄓㄨㄛ2" - ], - "𥯪": [ - "ㄙㄡ4" - ], - "𥯬": [ - "ㄖㄨㄢ3" - ], - "𥯮": [ - "ㄩ2" - ], - "𥯳": [ - "ㄜ4" - ], - "𥯶": [ - "ㄎㄨ3" - ], - "𥯸": [ - "ㄓㄨ4" - ], - "𥯾": [ - "ㄒㄧㄚ2" - ], - "𥰛": [ - "ㄈㄨ2" - ], - "𥰜": [ - "ㄊㄠ2" - ], - "𥰝": [ - "ㄒㄧ1" - ], - "𥰞": [ - "ㄔㄡ1", - "ㄙㄡ3" - ], - "𥰟": [ - "ㄩㄢ2" - ], - "𥰠": [ - "ㄌㄩ2" - ], - "𥰡": [ - "ㄘㄜ4" - ], - "𥰢": [ - "ㄕㄢ4" - ], - "𥰣": [ - "ㄌㄧㄡ2" - ], - "𥰥": [ - "ㄒㄧ4" - ], - "𥰦": [ - "ㄐㄧ1" - ], - "𥰧": [ - "ㄧ3" - ], - "𥰨": [ - "ㄊㄢ2" - ], - "𥰪": [ - "ㄏㄨ2" - ], - "𥰭": [ - "ㄘㄨㄛ1", - "ㄓㄚ3", - "ㄘ1" - ], - "𥰮": [ - "ㄍㄜ3" - ], - "𥰰": [ - "ㄕ4", - "ㄕㄜ2" - ], - "𥰱": [ - "ㄙㄠ1" - ], - "𥰲": [ - "ㄏㄨㄥ4" - ], - "𥰳": [ - "ㄒㄧㄢ4" - ], - "𥰶": [ - "ㄒㄧㄚ2" - ], - "𥰻": [ - "ㄇㄨ4" - ], - "𥰼": [ - "ㄙㄨㄛ3" - ], - "𥰾": [ - "ㄓㄞ4" - ], - "𥱀": [ - "ㄈㄨ1" - ], - "𥱁": [ - "ㄙㄜ4" - ], - "𥱂": [ - "ㄋㄨ2" - ], - "𥱃": [ - "ㄧ4" - ], - "𥱧": [ - "ㄑㄧㄣ2" - ], - "𥱨": [ - "ㄑㄧㄥ4" - ], - "𥱵": [ - "ㄏㄨㄟ4", - "ㄙㄨㄟ4", - "ㄒㄧ2" - ], - "𥱶": [ - "ㄕㄨㄤ3" - ], - "𥱷": [ - "ㄉㄢ3" - ], - "𥱸": [ - "ㄡ1" - ], - "𥱹": [ - "ㄇㄛ4" - ], - "𥱺": [ - "ㄑㄧㄢ1" - ], - "𥱻": [ - "ㄔ4", - "ㄊㄨ2" - ], - "𥱼": [ - "ㄆㄞ2", - "ㄆㄧ4" - ], - "𥱽": [ - "ㄐㄩㄢ4" - ], - "𥲀": [ - "ㄔㄠ2" - ], - "𥲁": [ - "ㄌㄧㄝ4" - ], - "𥲂": [ - "ㄅㄧㄥ1" - ], - "𥲃": [ - "ㄎㄡ4" - ], - "𥲄": [ - "ㄉㄢ4" - ], - "𥲅": [ - "ㄔㄡ2" - ], - "𥲆": [ - "ㄊㄨㄥ1" - ], - "𥲇": [ - "ㄉㄢ4" - ], - "𥲈": [ - "ㄇㄢ3" - ], - "𥲉": [ - "ㄏㄨ4" - ], - "𥲊": [ - "ㄌㄧㄠ2" - ], - "𥲋": [ - "ㄒㄧㄢ2" - ], - "𥲍": [ - "ㄘㄠ2" - ], - "𥲎": [ - "ㄌㄨ4" - ], - "𥲏": [ - "ㄔㄨㄢ4" - ], - "𥲐": [ - "ㄨ2" - ], - "𥲑": [ - "ㄇㄢ2" - ], - "𥲕": [ - "ㄗ3" - ], - "𥲗": [ - "ㄉㄨ4" - ], - "𥲚": [ - "ㄕㄨㄤ4" - ], - "𥲛": [ - "ㄈㄨ4" - ], - "𥲜": [ - "ㄐㄩ4" - ], - "𥲝": [ - "ㄓㄡ4" - ], - "𥲟": [ - "ㄉㄧㄠ4" - ], - "𥲠": [ - "ㄨㄤ4" - ], - "𥲡": [ - "ㄔㄨㄤ1" - ], - "𥲢": [ - "ㄑㄧㄢ1" - ], - "𥲣": [ - "ㄊㄨㄟ4" - ], - "𥲥": [ - "ㄌㄧㄢ2" - ], - "𥲦": [ - "ㄅㄧㄠ1" - ], - "𥲧": [ - "ㄌㄧ2" - ], - "𥲪": [ - "ㄌㄧ2" - ], - "𥳆": [ - "ㄅㄧ4" - ], - "𥳇": [ - "ㄈㄨ4" - ], - "𥳈": [ - "ㄘㄨㄟ4" - ], - "𥳉": [ - "ㄉㄨ1" - ], - "𥳋": [ - "ㄗㄢ4", - "ㄗㄢ1" - ], - "𥳌": [ - "ㄌㄨㄥ2" - ], - "𥳍": [ - "ㄒㄩㄣ2" - ], - "𥳎": [ - "ㄑㄩㄥ2" - ], - "𥳏": [ - "ㄐㄧ1" - ], - "𥳐": [ - "ㄑㄧㄢ3" - ], - "𥳒": [ - "ㄐㄧㄢ3" - ], - "𥳓": [ - "ㄕㄠ1" - ], - "𥳔": [ - "ㄉㄨㄛ4" - ], - "𥳕": [ - "ㄕㄨ1" - ], - "𥳖": [ - "ㄅㄨ4" - ], - "𥳗": [ - "ㄒㄩ1" - ], - "𥳘": [ - "ㄉㄨㄥ3" - ], - "𥳚": [ - "ㄖㄢ2" - ], - "𥳜": [ - "ㄧㄤ2" - ], - "𥳝": [ - "ㄖㄨㄟ3" - ], - "𥳞": [ - "ㄌㄧㄣ4" - ], - "𥳟": [ - "ㄐㄧㄢ3" - ], - "𥳠": [ - "ㄉㄧ4" - ], - "𥳡": [ - "ㄈㄣ2" - ], - "𥳢": [ - "ㄉㄧㄢ4" - ], - "𥳣": [ - "ㄗㄨㄟ4" - ], - "𥳥": [ - "ㄋㄧㄥ3" - ], - "𥳪": [ - "ㄙㄨㄢ4" - ], - "𥳫": [ - "ㄊㄧㄢ3" - ], - "𥳬": [ - "ㄢ4" - ], - "𥳯": [ - "ㄘㄜ4" - ], - "𥳰": [ - "ㄉㄧㄥ4" - ], - "𥳱": [ - "ㄕㄣ1" - ], - "𥳲": [ - "ㄉㄨ4" - ], - "𥳳": [ - "ㄊㄧ2" - ], - "𥳴": [ - "ㄐㄧㄠ3" - ], - "𥳵": [ - "ㄗㄨㄟ4" - ], - "𥳶": [ - "ㄓㄤ3" - ], - "𥳷": [ - "ㄐㄧㄢ3" - ], - "𥳸": [ - "ㄉㄢ4" - ], - "𥳹": [ - "ㄉㄢ3" - ], - "𥳺": [ - "ㄙㄨㄥ3" - ], - "𥴐": [ - "ㄓㄢ3" - ], - "𥴑": [ - "ㄊㄧㄥ2" - ], - "𥴒": [ - "ㄓ4" - ], - "𥴕": [ - "ㄧㄡ2" - ], - "𥴖": [ - "ㄆㄞ2" - ], - "𥴡": [ - "ㄌㄧ3" - ], - "𥴤": [ - "ㄑㄧㄢ2" - ], - "𥴦": [ - "ㄙㄨㄟ4", - "ㄉㄧ2" - ], - "𥴧": [ - "ㄐㄩ3" - ], - "𥴨": [ - "ㄞ4" - ], - "𥴩": [ - "ㄍㄜ2" - ], - "𥴪": [ - "ㄐㄩ4" - ], - "𥴫": [ - "ㄊㄨㄣ2", - "ㄉㄧㄢ4" - ], - "𥴬": [ - "ㄅㄧ4" - ], - "𥴭": [ - "ㄑㄧㄚ4" - ], - "𥴮": [ - "ㄅㄛ2" - ], - "𥴯": [ - "ㄏㄨㄟ4" - ], - "𥴱": [ - "ㄐㄧㄢ4" - ], - "𥴴": [ - "ㄍㄡ1" - ], - "𥴵": [ - "ㄙㄨㄢ4" - ], - "𥴺": [ - "ㄘ2" - ], - "𥴻": [ - "ㄑㄧㄤ4" - ], - "𥴿": [ - "ㄧㄢ2" - ], - "𥵏": [ - "ㄉㄧㄢ4" - ], - "𥵒": [ - "ㄇㄧㄝ4" - ], - "𥵜": [ - "ㄆㄛ4" - ], - "𥵝": [ - "ㄌㄧㄥ3" - ], - "𥵞": [ - "ㄐㄧㄝ2" - ], - "𥵟": [ - "ㄓㄨ4" - ], - "𥵠": [ - "ㄍㄨ3" - ], - "𥵣": [ - "ㄉㄨㄢ1" - ], - "𥵤": [ - "ㄓㄠ4" - ], - "𥵦": [ - "ㄕㄠ3" - ], - "𥵧": [ - "ㄑㄧㄣ3" - ], - "𥵨": [ - "ㄇㄧ2" - ], - "𥵪": [ - "ㄆㄧㄥ2" - ], - "𥵫": [ - "ㄘㄨㄥ2" - ], - "𥵬": [ - "ㄔㄡ1" - ], - "𥵯": [ - "ㄙㄚ4" - ], - "𥵶": [ - "ㄊㄧㄢ3" - ], - "𥶅": [ - "ㄌㄧㄡ2" - ], - "𥶆": [ - "ㄌㄩ2" - ], - "𥶇": [ - "ㄌㄨ3" - ], - "𥶈": [ - "ㄗㄡ1" - ], - "𥶌": [ - "ㄌㄩ4" - ], - "𥶍": [ - "ㄏㄨㄢ3" - ], - "𥶏": [ - "ㄊㄧㄠ2" - ], - "𥶐": [ - "ㄊㄨㄟ2" - ], - "𥶑": [ - "ㄑㄧㄤ3" - ], - "𥶒": [ - "ㄌㄧㄣ4" - ], - "𥶓": [ - "ㄅㄟ1" - ], - "𥶔": [ - "ㄆㄠ2" - ], - "𥶕": [ - "ㄓㄢ1" - ], - "𥶗": [ - "ㄌㄧ4" - ], - "𥶛": [ - "ㄊㄧ2" - ], - "𥶜": [ - "ㄏㄨ2" - ], - "𥶢": [ - "ㄌㄧㄝ4" - ], - "𥶵": [ - "ㄏㄨㄟ3" - ], - "𥶶": [ - "ㄑㄩ1" - ], - "𥶷": [ - "ㄒㄩㄢ3" - ], - "𥶹": [ - "ㄐㄧㄥ4" - ], - "𥶺": [ - "ㄉㄧㄝ2" - ], - "𥶻": [ - "ㄙㄨㄟ2" - ], - "𥶽": [ - "ㄨㄟ4" - ], - "𥶿": [ - "ㄧㄢ2" - ], - "𥷀": [ - "ㄧㄢ1" - ], - "𥷁": [ - "ㄅㄢ4" - ], - "𥷃": [ - "ㄐㄧㄤ3" - ], - "𥷄": [ - "ㄋㄧ3" - ], - "𥷅": [ - "ㄌㄧ4" - ], - "𥷆": [ - "ㄏㄨ2" - ], - "𥷇": [ - "ㄑㄧ4" - ], - "𥷈": [ - "ㄓㄨㄥ1" - ], - "𥷑": [ - "ㄅㄧ4" - ], - "𥷔": [ - "ㄩ2" - ], - "𥷕": [ - "ㄉㄧㄝ2" - ], - "𥷖": [ - "ㄌㄧㄣ4" - ], - "𥷗": [ - "ㄌㄧ4" - ], - "𥷘": [ - "ㄓㄨㄛ2" - ], - "𥷙": [ - "ㄐㄧ4" - ], - "𥷚": [ - "ㄐㄩ1" - ], - "𥷜": [ - "ㄈㄥ1" - ], - "𥷞": [ - "ㄩ4" - ], - "𥷨": [ - "ㄌㄧㄝ4" - ], - "𥷩": [ - "ㄗㄚ2" - ], - "𥷪": [ - "ㄑㄧㄢ2" - ], - "𥷫": [ - "ㄐㄧㄝ1" - ], - "𥷬": [ - "ㄍㄨㄢ1" - ], - "𥷮": [ - "ㄓㄨㄛ2", - "ㄓㄠ1" - ], - "𥷱": [ - "ㄈㄨ4" - ], - "𥷹": [ - "ㄙㄜ4" - ], - "𥷼": [ - "ㄘㄨ4" - ], - "𥸃": [ - "ㄏㄨㄟ3" - ], - "𥸈": [ - "ㄉㄤ4" - ], - "𥸉": [ - "ㄌㄨㄥ2" - ], - "𥸊": [ - "ㄧ4" - ], - "𥸗": [ - "ㄙㄚ3" - ], - "𥸘": [ - "ㄩㄝ4" - ], - "𥸚": [ - "ㄉㄧ2" - ], - "𥸡": [ - "ㄍㄢ3" - ], - "𥸢": [ - "ㄗㄢ1" - ], - "𥸣": [ - "ㄕㄢ4" - ], - "𥸤": [ - "ㄩ4" - ], - "𥸥": [ - "ㄅㄛ3" - ], - "𥸧": [ - "ㄉㄧㄥ4" - ], - "𥸨": [ - "ㄈㄢ2", - "ㄅㄛ3", - "ㄅㄨ3" - ], - "𥸪": [ - "ㄩ4" - ], - "𥸬": [ - "ㄕㄣ1" - ], - "𥸲": [ - "ㄍㄨㄥ1" - ], - "𥸴": [ - "ㄇㄧㄝ4" - ], - "𥸵": [ - "ㄊㄨㄣ2" - ], - "𥸸": [ - "ㄌㄧㄝ4" - ], - "𥹁": [ - "ㄓㄚ1", - "ㄗㄨㄛ4" - ], - "𥹂": [ - "ㄆㄟ1" - ], - "𥹄": [ - "ㄇㄧ2" - ], - "𥹆": [ - "ㄇㄧㄥ2" - ], - "𥹇": [ - "ㄈㄢ4" - ], - "𥹉": [ - "ㄋㄚ4" - ], - "𥹊": [ - "ㄙ4" - ], - "𥹋": [ - "ㄧ2" - ], - "𥹌": [ - "ㄐㄧㄚ1" - ], - "𥹍": [ - "ㄓㄨ4" - ], - "𥹓": [ - "ㄅㄢ1" - ], - "𥹔": [ - "ㄩ4" - ], - "𥹖": [ - "ㄆㄛ3" - ], - "𥹚": [ - "ㄏㄨㄢ1" - ], - "𥹛": [ - "ㄘㄢ4" - ], - "𥹜": [ - "ㄐㄧㄠ1" - ], - "𥹠": [ - "ㄊㄢ2" - ], - "𥹩": [ - "ㄓ4" - ], - "𥹫": [ - "ㄇㄧ3" - ], - "𥹬": [ - "ㄎㄠ3" - ], - "𥹱": [ - "ㄧㄠ1" - ], - "𥹲": [ - "ㄉㄨㄟ4" - ], - "𥹳": [ - "ㄑㄩㄢ3", - "ㄏㄨㄢ2" - ], - "𥹴": [ - "ㄅㄨ4" - ], - "𥹵": [ - "ㄔㄨ4" - ], - "𥹶": [ - "ㄑㄧㄠ3" - ], - "𥹷": [ - "ㄌㄧㄡ2" - ], - "𥹸": [ - "ㄅㄛ2" - ], - "𥹺": [ - "ㄎㄤ1" - ], - "𥹻": [ - "ㄈㄣ4" - ], - "𥺅": [ - "ㄉㄠ4" - ], - "𥺉": [ - "ㄉㄡ4" - ], - "𥺊": [ - "ㄍㄜ2" - ], - "𥺙": [ - "ㄌㄧㄥ2" - ], - "𥺚": [ - "ㄒㄧ2" - ], - "𥺜": [ - "ㄋㄧ4" - ], - "𥺝": [ - "ㄓㄡ1" - ], - "𥺞": [ - "ㄓㄡ1", - "ㄩ4" - ], - "𥺣": [ - "ㄔㄡ1" - ], - "𥺴": [ - "ㄋㄧㄢ1" - ], - "𥺵": [ - "ㄐㄧ1" - ], - "𥺷": [ - "ㄑㄩ1" - ], - "𥻄": [ - "ㄎㄞ1" - ], - "𥻇": [ - "ㄒㄧㄢ4" - ], - "𥻉": [ - "ㄏㄜ2" - ], - "𥻋": [ - "ㄌㄧㄣ2" - ], - "𥻍": [ - "ㄗ1" - ], - "𥻑": [ - "ㄡ3", - "ㄌㄧ4" - ], - "𥻒": [ - "ㄘㄨ4", - "ㄇㄧ4" - ], - "𥻗": [ - "ㄔㄚ2" - ], - "𥻝": [ - "ㄓㄨㄥ4" - ], - "𥻞": [ - "ㄅㄨ2" - ], - "𥻤": [ - "ㄔㄡ1" - ], - "𥻥": [ - "ㄒㄧ4" - ], - "𥻦": [ - "ㄙㄚ4" - ], - "𥻧": [ - "ㄒㄧㄢ2", - "ㄐㄧㄢ1" - ], - "𥻨": [ - "ㄙㄜ4" - ], - "𥻩": [ - "ㄇㄧㄢ4" - ], - "𥻫": [ - "ㄈㄢ2" - ], - "𥻬": [ - "ㄓ1" - ], - "𥻮": [ - "ㄘㄨㄟ4" - ], - "𥻴": [ - "ㄒㄧㄚ4" - ], - "𥻾": [ - "ㄋㄨㄛ4" - ], - "𥻿": [ - "ㄌㄧ2" - ], - "𥼀": [ - "ㄗㄨ2" - ], - "𥼂": [ - "ㄘㄨㄟ1" - ], - "𥼃": [ - "ㄗㄜ2" - ], - "𥼅": [ - "ㄌㄧ2" - ], - "𥼘": [ - "ㄑㄧ2" - ], - "𥼚": [ - "ㄓㄨㄛ1" - ], - "𥼛": [ - "ㄘㄨㄟ4" - ], - "𥼜": [ - "ㄆㄨ1" - ], - "𥼞": [ - "ㄈㄢ2" - ], - "𥼟": [ - "ㄊㄢ2" - ], - "𥼩": [ - "ㄗ1" - ], - "𥼪": [ - "ㄗㄨ3" - ], - "𥼫": [ - "ㄓㄡ1" - ], - "𥼬": [ - "ㄖㄨㄥ2" - ], - "𥼭": [ - "ㄌㄧㄣ2" - ], - "𥼮": [ - "ㄊㄢ2" - ], - "𥼶": [ - "ㄕ4" - ], - "𥼺": [ - "ㄘㄨㄟ3" - ], - "𥼻": [ - "ㄗ1" - ], - "𥼼": [ - "ㄈㄨ1" - ], - "𥽁": [ - "ㄒㄧㄠ4" - ], - "𥽈": [ - "ㄈㄥ1", - "ㄌㄧ3" - ], - "𥽏": [ - "ㄒㄧㄢ4" - ], - "𥽐": [ - "ㄐㄧㄢ4" - ], - "𥽒": [ - "ㄈㄣ4" - ], - "𥽗": [ - "ㄌㄧ4" - ], - "𥽘": [ - "ㄇㄛ4", - "ㄇㄧㄝ4" - ], - "𥽟": [ - "ㄧㄡ1" - ], - "𥽥": [ - "ㄏㄨㄛ4" - ], - "𥽧": [ - "ㄑㄩ1" - ], - "𥽬": [ - "ㄋㄧㄤ4" - ], - "𥽰": [ - "ㄇㄧ2" - ], - "𥽳": [ - "ㄑㄧ4" - ], - "𥽶": [ - "ㄏㄜ2" - ], - "𥽸": [ - "ㄌㄧㄢ4" - ], - "𥽿": [ - "ㄗㄨㄛ4" - ], - "𥾂": [ - "ㄌㄧㄥ2" - ], - "𥾅": [ - "ㄓㄨ2" - ], - "𥾇": [ - "ㄋㄧㄠ3" - ], - "𥾊": [ - "ㄐㄧ3" - ], - "𥾋": [ - "ㄖㄥ2" - ], - "𥾌": [ - "ㄐㄧㄝ2" - ], - "𥾍": [ - "ㄍㄢ3" - ], - "𥾐": [ - "ㄧ4" - ], - "𥾓": [ - "ㄓㄡ2" - ], - "𥾕": [ - "ㄨ4" - ], - "𥾚": [ - "ㄍㄥ3", - "ㄉㄢ3" - ], - "𥾛": [ - "ㄘㄨ4" - ], - "𥾝": [ - "ㄇㄧㄝ4", - "ㄇㄧㄢ3" - ], - "𥾡": [ - "ㄒㄩㄣ2", - "ㄐㄧ1" - ], - "𥾣": [ - "ㄓ1" - ], - "𥾤": [ - "ㄒㄧㄠ2" - ], - "𥾧": [ - "ㄈㄨ2" - ], - "𥾨": [ - "ㄏㄨ2" - ], - "𥾬": [ - "ㄉㄧ1" - ], - "𥾮": [ - "ㄐㄩㄝ2" - ], - "𥾯": [ - "ㄉㄧㄠ4" - ], - "𥾹": [ - "ㄕㄡ3" - ], - "𥾼": [ - "ㄨㄤ3" - ], - "𥿃": [ - "ㄋㄚ4" - ], - "𥿄": [ - "ㄉㄧ1" - ], - "𥿅": [ - "ㄕ4" - ], - "𥿆": [ - "ㄘ2" - ], - "𥿇": [ - "ㄕㄨ1" - ], - "𥿉": [ - "ㄨㄚ4", - "ㄇㄛ4" - ], - "𥿊": [ - "ㄔㄜ4" - ], - "𥿋": [ - "ㄈㄢ2", - "ㄅㄧㄢ4" - ], - "𥿍": [ - "ㄍㄨ1" - ], - "𥿎": [ - "ㄩㄢ1", - "ㄨㄢ3" - ], - "𥿑": [ - "ㄍㄨㄢ1", - "ㄌㄨㄣ2" - ], - "𥿚": [ - "ㄑㄧㄝ4" - ], - "𥿜": [ - "ㄓㄢ3", - "ㄓㄣ3" - ], - "𥿝": [ - "ㄉㄞ4" - ], - "𥿞": [ - "ㄕㄜ1" - ], - "𥿦": [ - "ㄓㄡ1" - ], - "𥿧": [ - "ㄒㄧㄤ3" - ], - "𥿨": [ - "ㄇㄧㄥ2" - ], - "𥿩": [ - "ㄗ4" - ], - "𥿪": [ - "ㄏㄨㄤ1" - ], - "𥿫": [ - "ㄇㄧ2", - "ㄧ4", - "ㄨㄟ4" - ], - "𥿭": [ - "ㄒㄧ4" - ], - "𥿮": [ - "ㄓ4", - "ㄕ4" - ], - "𥿯": [ - "ㄆㄞ4" - ], - "𥿰": [ - "ㄉㄨㄛ3" - ], - "𥿴": [ - "ㄘ4" - ], - "𥿵": [ - "ㄇㄡ2" - ], - "𥿷": [ - "ㄔㄠ4" - ], - "𥿹": [ - "ㄧ4" - ], - "𥿺": [ - "ㄍㄡ1" - ], - "𦀇": [ - "ㄐㄧㄥ1" - ], - "𦀓": [ - "ㄗㄥ1", - "ㄐㄧㄝ1" - ], - "𦀔": [ - "ㄆㄧㄥ1" - ], - "𦀕": [ - "ㄧㄝ4" - ], - "𦀖": [ - "ㄐㄧㄝ2" - ], - "𦀘": [ - "ㄆㄧ1", - "ㄅㄧ1" - ], - "𦀛": [ - "ㄕㄚ1" - ], - "𦀜": [ - "ㄓㄨㄤ4" - ], - "𦀝": [ - "ㄐㄩㄥ3" - ], - "𦀠": [ - "ㄌㄧㄡ2" - ], - "𦀡": [ - "ㄩ3" - ], - "𦀣": [ - "ㄐㄩ1" - ], - "𦀨": [ - "ㄋㄨㄛ4" - ], - "𦀸": [ - "ㄇㄠ4" - ], - "𦁄": [ - "ㄔㄣ1" - ], - "𦁆": [ - "ㄓㄨㄢ4", - "ㄐㄩㄢ4", - "ㄕㄨㄢ4" - ], - "𦁇": [ - "ㄋㄧㄢ4" - ], - "𦁈": [ - "ㄎㄨㄥ4" - ], - "𦁉": [ - "ㄐㄧㄝ1" - ], - "𦁊": [ - "ㄏㄨㄚ4" - ], - "𦁍": [ - "ㄒㄧㄣ1" - ], - "𦁎": [ - "ㄗㄨㄛ2" - ], - "𦁏": [ - "ㄧㄢ4" - ], - "𦁐": [ - "ㄐㄩㄝ2" - ], - "𦁕": [ - "ㄏㄨ1" - ], - "𦁖": [ - "ㄓㄡ4" - ], - "𦁗": [ - "ㄕㄜ4" - ], - "𦁙": [ - "ㄧㄢ3" - ], - "𦁛": [ - "ㄒㄧㄝ4", - "ㄉㄧㄝ2" - ], - "𦁜": [ - "ㄉㄧㄝ2" - ], - "𦁟": [ - "ㄔㄣ1", - "ㄔㄣ2", - "ㄓㄣ3" - ], - "𦁲": [ - "ㄐㄧㄢ3" - ], - "𦁳": [ - "ㄐㄧ4" - ], - "𦁶": [ - "ㄔㄨㄛ4" - ], - "𦁷": [ - "ㄏㄨㄥ2" - ], - "𦂀": [ - "ㄉㄚ2" - ], - "𦂄": [ - "ㄎㄞ1" - ], - "𦂅": [ - "ㄒㄧㄥ1", - "ㄒㄧ3" - ], - "𦂆": [ - "ㄏㄨㄟ4" - ], - "𦂇": [ - "ㄐㄧㄢ3" - ], - "𦂈": [ - "ㄓㄡ4" - ], - "𦂉": [ - "ㄓㄚ3" - ], - "𦂊": [ - "ㄈㄨ4" - ], - "𦂋": [ - "ㄔ4" - ], - "𦂌": [ - "ㄅㄥ3" - ], - "𦂍": [ - "ㄋㄨㄛ4" - ], - "𦂑": [ - "ㄐㄧ4" - ], - "𦂒": [ - "ㄑㄧㄢ2" - ], - "𦂔": [ - "ㄨㄢ4" - ], - "𦂕": [ - "ㄡ2" - ], - "𦂖": [ - "ㄅㄧ4" - ], - "𦂗": [ - "ㄕㄨㄛ4" - ], - "𦂠": [ - "ㄐㄧㄥ1" - ], - "𦂡": [ - "ㄧㄝ4" - ], - "𦃄": [ - "ㄈㄟ3" - ], - "𦃇": [ - "ㄌㄧ2" - ], - "𦃊": [ - "ㄌㄧ4" - ], - "𦃋": [ - "ㄆㄧ2" - ], - "𦃒": [ - "ㄙㄨㄟ4" - ], - "𦃓": [ - "ㄌㄧㄡ2" - ], - "𦃔": [ - "ㄏㄜ2" - ], - "𦃕": [ - "ㄏㄨㄣ3" - ], - "𦃖": [ - "ㄊㄢ3" - ], - "𦃗": [ - "ㄕㄨㄛ4" - ], - "𦃘": [ - "ㄓ4" - ], - "𦃙": [ - "ㄅㄛ2" - ], - "𦃝": [ - "ㄒㄧ4" - ], - "𦃡": [ - "ㄆㄛ2", - "ㄊㄠ1" - ], - "𦃢": [ - "ㄑㄩㄣ3" - ], - "𦃤": [ - "ㄇㄨ4" - ], - "𦃽": [ - "ㄩㄥ1" - ], - "𦄂": [ - "ㄉㄞ4" - ], - "𦄊": [ - "ㄑㄧ3" - ], - "𦄋": [ - "ㄉㄧㄠ3" - ], - "𦄌": [ - "ㄋㄧㄝ4" - ], - "𦄍": [ - "ㄕㄨㄤ3" - ], - "𦄏": [ - "ㄕㄠ1" - ], - "𦄐": [ - "ㄎㄨㄣ3", - "ㄇㄧ2" - ], - "𦄑": [ - "ㄙㄨㄟ4" - ], - "𦄓": [ - "ㄉㄡ1" - ], - "𦄔": [ - "ㄉㄧㄝ2" - ], - "𦄜": [ - "ㄍㄨㄥ1" - ], - "𦄯": [ - "ㄓㄨㄢ3" - ], - "𦄰": [ - "ㄍㄨㄛ2" - ], - "𦄼": [ - "ㄒㄩ1" - ], - "𦄽": [ - "ㄑㄩ2" - ], - "𦅀": [ - "ㄒㄩㄣ2" - ], - "𦅃": [ - "ㄐㄧㄠ1", - "ㄑㄧㄠ1" - ], - "𦅄": [ - "ㄓㄜ2" - ], - "𦅆": [ - "ㄉㄧㄢ4" - ], - "𦅇": [ - "ㄙㄤ1" - ], - "𦅈": [ - "ㄅㄥ1" - ], - "𦅊": [ - "ㄙㄨㄛ3" - ], - "𦅋": [ - "ㄑㄧㄢ3" - ], - "𦅏": [ - "ㄒㄩ1" - ], - "𦅑": [ - "ㄒㄩㄣ2" - ], - "𦅔": [ - "ㄇㄛ4" - ], - "𦅵": [ - "ㄙㄨㄟ4" - ], - "𦅶": [ - "ㄌㄚ4", - "ㄌㄧㄝ4" - ], - "𦅷": [ - "ㄓㄨ3", - "ㄓㄨ4" - ], - "𦅸": [ - "ㄓㄡ4" - ], - "𦅺": [ - "ㄌㄧ4" - ], - "𦅼": [ - "ㄉㄢ1" - ], - "𦅽": [ - "ㄐㄩ2" - ], - "𦅿": [ - "ㄩㄣ4" - ], - "𦆀": [ - "ㄔㄢ3" - ], - "𦆁": [ - "ㄌㄨㄛ2" - ], - "𦆄": [ - "ㄙㄜ4" - ], - "𦆆": [ - "ㄌㄧㄢ2" - ], - "𦆈": [ - "ㄗㄨㄢ3", - "ㄗㄨㄟ2" - ], - "𦆋": [ - "ㄌㄞ4" - ], - "𦆌": [ - "ㄕㄨㄤ3" - ], - "𦆍": [ - "ㄑㄧㄝ4" - ], - "𦆘": [ - "ㄉㄡ1" - ], - "𦆞": [ - "ㄨ4" - ], - "𦆟": [ - "ㄇㄥ2" - ], - "𦆡": [ - "ㄐㄧ4" - ], - "𦆤": [ - "ㄔ1" - ], - "𦆦": [ - "ㄋㄧ3" - ], - "𦆸": [ - "ㄧㄠ2" - ], - "𦆻": [ - "ㄌㄚ4" - ], - "𦆾": [ - "ㄌㄩ4" - ], - "𦇀": [ - "ㄙㄨㄟ4" - ], - "𦇁": [ - "ㄈㄨ1" - ], - "𦇄": [ - "ㄌㄟ3" - ], - "𦇅": [ - "ㄨㄟ3" - ], - "𦇎": [ - "ㄘㄨㄥ1" - ], - "𦇔": [ - "ㄌㄧ4" - ], - "𦇖": [ - "ㄆㄧㄣ2" - ], - "𦇘": [ - "ㄐㄩㄣ1" - ], - "𦇙": [ - "ㄐㄩ3" - ], - "𦇛": [ - "ㄌㄚ4" - ], - "𦇧": [ - "ㄐㄧ4" - ], - "𦇪": [ - "ㄇㄧㄝ4" - ], - "𦇬": [ - "ㄧㄠ4" - ], - "𦇭": [ - "ㄅㄧㄢ1" - ], - "𦇱": [ - "ㄘㄨㄥ2" - ], - "𦇲": [ - "ㄙ1", - "ㄔ1" - ], - "𦇵": [ - "ㄙ1" - ], - "𦇸": [ - "ㄏㄜ2" - ], - "𦈃": [ - "ㄋㄤ4" - ], - "𦈅": [ - "ㄉㄧㄝ2" - ], - "𦈈": [ - "ㄔㄜ4" - ], - "𦈉": [ - "ㄩㄣ4" - ], - "𦈋": [ - "ㄒㄧㄡ3" - ], - "𦈌": [ - "ㄕㄨ1" - ], - "𦈎": [ - "ㄔㄢ3" - ], - "𦈏": [ - "ㄇㄧㄣ2" - ], - "𦈐": [ - "ㄌㄧㄢ2" - ], - "𦈑": [ - "ㄧㄣ1" - ], - "𦈒": [ - "ㄒㄧㄥ1" - ], - "𦈓": [ - "ㄨㄟ1" - ], - "𦈔": [ - "ㄍㄨ3" - ], - "𦈕": [ - "ㄊㄡ2" - ], - "𦈖": [ - "ㄊㄚ1" - ], - "𦈗": [ - "ㄈㄟ3" - ], - "𦈘": [ - "ㄉㄚ1" - ], - "𦈙": [ - "ㄋㄧㄝ4" - ], - "𦈚": [ - "ㄘㄨ4" - ], - "𦈛": [ - "ㄗㄨㄛ3" - ], - "𦈜": [ - "ㄐㄧㄝ2" - ], - "𦈝": [ - "ㄒㄩㄢ4" - ], - "𦈞": [ - "ㄅㄛ2" - ], - "𦈟": [ - "ㄐㄧㄣ1" - ], - "𦈠": [ - "ㄧㄣ3" - ], - "𦈡": [ - "ㄒㄩ1" - ], - "𦈣": [ - "ㄩ2" - ], - "𦈤": [ - "ㄒㄩㄥ4" - ], - "𦈦": [ - "ㄑㄧ4" - ], - "𦈧": [ - "ㄅㄟ1" - ], - "𦈨": [ - "ㄒㄧㄥ2" - ], - "𦈩": [ - "ㄍㄨㄥ3" - ], - "𦈬": [ - "ㄗㄨㄟ3" - ], - "𦈰": [ - "ㄐㄧㄝ1" - ], - "𦈲": [ - "ㄎㄞ1", - "ㄍㄨ3" - ], - "𦈵": [ - "ㄒㄧㄥ2" - ], - "𦈶": [ - "ㄅㄟ1" - ], - "𦈷": [ - "ㄕㄨ1" - ], - "𦈸": [ - "ㄩ4" - ], - "𦈺": [ - "ㄓㄡ3" - ], - "𦈻": [ - "ㄓㄢ3" - ], - "𦉂": [ - "ㄓㄨㄥ1" - ], - "𦉆": [ - "ㄔㄚ2" - ], - "𦉈": [ - "ㄔㄨㄟ2" - ], - "𦉉": [ - "ㄌㄧㄡ4" - ], - "𦉎": [ - "ㄙㄨㄟ1" - ], - "𦉐": [ - "ㄓㄨ3" - ], - "𦉙": [ - "ㄅㄧㄢ4" - ], - "𦉝": [ - "ㄒㄧㄣ4" - ], - "𦉟": [ - "ㄧㄚ4" - ], - "𦉢": [ - "ㄌㄧㄥ2" - ], - "𦉧": [ - "ㄧㄚ4" - ], - "𦉬": [ - "ㄊㄧㄥ1" - ], - "𦉹": [ - "ㄉㄧ2" - ], - "𦊁": [ - "ㄆㄧ2" - ], - "𦊂": [ - "ㄏㄨ4" - ], - "𦊃": [ - "ㄘㄣ2" - ], - "𦊊": [ - "ㄊㄧㄢ1" - ], - "𦊋": [ - "ㄇㄡ3" - ], - "𦊌": [ - "ㄐㄩㄢ3" - ], - "𦊎": [ - "ㄇㄡ3" - ], - "𦊐": [ - "ㄐㄩ4" - ], - "𦊑": [ - "ㄌㄧㄡ3" - ], - "𦊓": [ - "ㄌㄧㄥ3" - ], - "𦊗": [ - "ㄌㄧㄡ3" - ], - "𦊘": [ - "ㄏㄨ4" - ], - "𦊦": [ - "ㄈㄨ2" - ], - "𦊧": [ - "ㄏㄨ2" - ], - "𦊪": [ - "ㄜ4" - ], - "𦊫": [ - "ㄍㄨㄥ1" - ], - "𦊬": [ - "ㄍㄨ1" - ], - "𦊱": [ - "ㄍㄨㄚ4" - ], - "𦊹": [ - "ㄌㄩㄝ4" - ], - "𦊻": [ - "ㄈㄢ2" - ], - "𦊼": [ - "ㄌㄩ4" - ], - "𦊽": [ - "ㄇㄥ2" - ], - "𦊾": [ - "ㄈㄨ2" - ], - "𦊿": [ - "ㄌㄧㄡ2" - ], - "𦋅": [ - "ㄒㄧㄝ2" - ], - "𦋆": [ - "ㄍㄨ1" - ], - "𦋈": [ - "ㄒㄧㄢ4" - ], - "𦋉": [ - "ㄅㄛ2" - ], - "𦋋": [ - "ㄐㄧ4" - ], - "𦋓": [ - "ㄑㄩㄢ1" - ], - "𦋔": [ - "ㄌㄨ4" - ], - "𦋞": [ - "ㄕㄨㄛ4" - ], - "𦋡": [ - "ㄇㄡ3" - ], - "𦋢": [ - "ㄩ4" - ], - "𦋣": [ - "ㄏㄢ4" - ], - "𦋩": [ - "ㄩㄝ4" - ], - "𦋪": [ - "ㄉㄢ4" - ], - "𦋯": [ - "ㄩ2" - ], - "𦋰": [ - "ㄐㄧㄢ1" - ], - "𦋳": [ - "ㄍㄤ1" - ], - "𦋿": [ - "ㄘㄠ2" - ], - "𦌀": [ - "ㄕㄣ4" - ], - "𦌁": [ - "ㄌㄧㄡ3", - "ㄌㄡ2" - ], - "𦌆": [ - "ㄐㄧㄠ1" - ], - "𦌉": [ - "ㄙㄨ4" - ], - "𦌊": [ - "ㄙㄨ4" - ], - "𦌋": [ - "ㄓㄨㄥ4" - ], - "𦌒": [ - "ㄌㄧㄠ4" - ], - "𦌔": [ - "ㄒㄩㄢ3" - ], - "𦌕": [ - "ㄌㄨ4" - ], - "𦌗": [ - "ㄐㄧ4" - ], - "𦌚": [ - "ㄧㄢ2" - ], - "𦌟": [ - "ㄌㄨ4" - ], - "𦌡": [ - "ㄇㄧㄣ3" - ], - "𦌢": [ - "ㄊㄧ2" - ], - "𦌦": [ - "ㄏㄨㄢ4" - ], - "𦌩": [ - "ㄧ4" - ], - "𦌪": [ - "ㄊㄢ3" - ], - "𦌬": [ - "ㄨ3", - "ㄨ2" - ], - "𦌰": [ - "ㄐㄧ1" - ], - "𦌷": [ - "ㄉㄨ2" - ], - "𦌸": [ - "ㄎㄨㄣ1" - ], - "𦌺": [ - "ㄐㄩㄣ1" - ], - "𦌿": [ - "ㄕ1" - ], - "𦍀": [ - "ㄋㄢ4" - ], - "𦍁": [ - "ㄆㄛ4" - ], - "𦍄": [ - "ㄕㄨ1" - ], - "𦍅": [ - "ㄑㄩㄢ4" - ], - "𦍌": [ - "ㄖㄣ4" - ], - "𦍏": [ - "ㄈㄣ2" - ], - "𦍒": [ - "ㄊㄚ4" - ], - "𦍓": [ - "ㄊㄨㄣ2" - ], - "𦍕": [ - "ㄧㄤ2" - ], - "𦍦": [ - "ㄉㄨㄛ1" - ], - "𦍧": [ - "ㄘ1" - ], - "𦍩": [ - "ㄍㄨ3" - ], - "𦍪": [ - "ㄈㄣ2" - ], - "𦍭": [ - "ㄖㄡ2" - ], - "𦍱": [ - "ㄍㄠ1" - ], - "𦍲": [ - "ㄒㄧㄤ2", - "ㄧㄤ4" - ], - "𦍴": [ - "ㄒㄧㄤ2" - ], - "𦍵": [ - "ㄏㄡ3" - ], - "𦍷": [ - "ㄊㄠ1" - ], - "𦍸": [ - "ㄕㄢ4" - ], - "𦍹": [ - "ㄧㄤ2" - ], - "𦍺": [ - "ㄗ4" - ], - "𦍼": [ - "ㄩㄢ2" - ], - "𦎄": [ - "ㄙㄨ2" - ], - "𦎇": [ - "ㄔㄨㄢ4" - ], - "𦎈": [ - "ㄒㄧㄤ2", - "ㄒㄧㄝ4" - ], - "𦎊": [ - "ㄅㄢ1" - ], - "𦎌": [ - "ㄇㄢ3" - ], - "𦎎": [ - "ㄈㄨ3" - ], - "𦎏": [ - "ㄌㄚ3" - ], - "𦎐": [ - "ㄌㄧ3" - ], - "𦎒": [ - "ㄐㄧㄝ2" - ], - "𦎓": [ - "ㄧㄡ1" - ], - "𦎘": [ - "ㄩ4" - ], - "𦎚": [ - "ㄔ4" - ], - "𦎜": [ - "ㄔㄨㄢ4" - ], - "𦎝": [ - "ㄧ4" - ], - "𦎞": [ - "ㄕㄢ1" - ], - "𦎢": [ - "ㄐㄧ2" - ], - "𦎣": [ - "ㄧㄢ1" - ], - "𦎦": [ - "ㄨ4" - ], - "𦎧": [ - "ㄔㄨㄣ2", - "ㄉㄨㄣ1", - "ㄉㄨㄣ4" - ], - "𦎨": [ - "ㄇㄤ2" - ], - "𦎭": [ - "ㄈㄨ2" - ], - "𦎮": [ - "ㄐㄧㄚ1" - ], - "𦎯": [ - "ㄍㄡ4" - ], - "𦎰": [ - "ㄍㄨ2" - ], - "𦎱": [ - "ㄐㄧㄚ2" - ], - "𦎵": [ - "ㄒㄧㄢ2" - ], - "𦎷": [ - "ㄐㄧㄣ4" - ], - "𦎸": [ - "ㄗ4" - ], - "𦎹": [ - "ㄌㄡ2" - ], - "𦎼": [ - "ㄍㄡ4" - ], - "𦏀": [ - "ㄖㄣ2" - ], - "𦏂": [ - "ㄕㄢ1" - ], - "𦏅": [ - "ㄐㄩㄝ2" - ], - "𦏆": [ - "ㄊㄨㄥ2" - ], - "𦏇": [ - "ㄧㄡ3" - ], - "𦏔": [ - "ㄐㄧㄢ1" - ], - "𦏕": [ - "ㄉㄨ2" - ], - "𦏗": [ - "ㄏㄨ2" - ], - "𦏛": [ - "ㄙㄠ1" - ], - "𦏜": [ - "ㄩ4" - ], - "𦏢": [ - "ㄇㄞ4" - ], - "𦏤": [ - "ㄓ1" - ], - "𦏥": [ - "ㄧㄢ1" - ], - "𦏦": [ - "ㄍㄠ1" - ], - "𦏨": [ - "ㄏㄨㄞ4" - ], - "𦏮": [ - "ㄑㄩㄢ2" - ], - "𦏱": [ - "ㄧㄤ3", - "ㄔㄞ4" - ], - "𦏳": [ - "ㄗㄨㄟ3" - ], - "𦏷": [ - "ㄒㄧㄠ1" - ], - "𦏸": [ - "ㄧ4", - "ㄔ2" - ], - "𦏹": [ - "ㄧㄢ3" - ], - "𦏺": [ - "ㄏㄨㄥ2", - "ㄍㄨㄥ4" - ], - "𦏻": [ - "ㄩ2", - "ㄩ4" - ], - "𦏿": [ - "ㄔ4" - ], - "𦐁": [ - "ㄔ2" - ], - "𦐄": [ - "ㄏㄤ2" - ], - "𦐅": [ - "ㄙㄜ4" - ], - "𦐆": [ - "ㄆㄚ1" - ], - "𦐇": [ - "ㄊㄚ4" - ], - "𦐈": [ - "ㄈㄣ1" - ], - "𦐉": [ - "ㄔ1" - ], - "𦐌": [ - "ㄏㄨㄥ2" - ], - "𦐍": [ - "ㄒㄩㄝ4" - ], - "𦐖": [ - "ㄓ3" - ], - "𦐛": [ - "ㄑㄩ2", - "ㄩ4" - ], - "𦐠": [ - "ㄒㄧ1" - ], - "𦐡": [ - "ㄈㄨ2" - ], - "𦐣": [ - "ㄕㄨ1" - ], - "𦐤": [ - "ㄏㄞ4" - ], - "𦐦": [ - "ㄆㄛ4" - ], - "𦐨": [ - "ㄘ3" - ], - "𦐰": [ - "ㄔㄞ4" - ], - "𦐳": [ - "ㄏㄨㄥ1" - ], - "𦐸": [ - "ㄆㄠ3" - ], - "𦐹": [ - "ㄕㄣ1" - ], - "𦐺": [ - "ㄒㄧㄠ1" - ], - "𦐽": [ - "ㄒㄩㄢ1", - "ㄌㄧㄥ2" - ], - "𦐾": [ - "ㄘ3" - ], - "𦐿": [ - "ㄊㄧㄥ2" - ], - "𦑀": [ - "ㄆㄛ4" - ], - "𦑇": [ - "ㄊㄚ4" - ], - "𦑈": [ - "ㄔㄚ1" - ], - "𦑋": [ - "ㄗㄨ2" - ], - "𦑌": [ - "ㄏㄨㄛ4" - ], - "𦑍": [ - "ㄒㄩ4" - ], - "𦑎": [ - "ㄧㄢ4" - ], - "𦑏": [ - "ㄔㄞ4" - ], - "𦑑": [ - "ㄊㄨㄛ2" - ], - "𦑘": [ - "ㄒㄧㄢ2" - ], - "𦑙": [ - "ㄒㄩㄢ1" - ], - "𦑚": [ - "ㄏㄡ2" - ], - "𦑛": [ - "ㄏㄨㄢ3" - ], - "𦑜": [ - "ㄍㄜ2" - ], - "𦑝": [ - "ㄔㄨㄥ3" - ], - "𦑞": [ - "ㄅㄧ4" - ], - "𦑟": [ - "ㄏㄨㄥ1" - ], - "𦑠": [ - "ㄏㄨㄥ1" - ], - "𦑡": [ - "ㄔ2", - "ㄔ1" - ], - "𦑣": [ - "ㄔㄚ2" - ], - "𦑯": [ - "ㄓㄚ3" - ], - "𦑱": [ - "ㄓㄞ2", - "ㄏㄨㄛ4" - ], - "𦑲": [ - "ㄊㄚ4" - ], - "𦑵": [ - "ㄆㄛ4" - ], - "𦑶": [ - "ㄊㄚ4" - ], - "𦑸": [ - "ㄧㄡ2" - ], - "𦑹": [ - "ㄈㄨ2" - ], - "𦑺": [ - "ㄘ1" - ], - "𦑻": [ - "ㄉㄚ2" - ], - "𦑼": [ - "ㄊㄚ3" - ], - "𦑾": [ - "ㄌㄧㄡ2" - ], - "𦒁": [ - "ㄘ1" - ], - "𦒃": [ - "ㄏㄨㄥ1" - ], - "𦒅": [ - "ㄏㄢ4" - ], - "𦒆": [ - "ㄌㄚ1" - ], - "𦒈": [ - "ㄕ1" - ], - "𦒍": [ - "ㄊㄨㄥ2" - ], - "𦒎": [ - "ㄏㄨㄟ4" - ], - "𦒏": [ - "ㄏㄜ2" - ], - "𦒐": [ - "ㄆㄧㄝ1" - ], - "𦒑": [ - "ㄩ4" - ], - "𦒜": [ - "ㄒㄧㄢ1" - ], - "𦒝": [ - "ㄏㄢ3" - ], - "𦒟": [ - "ㄆㄛ4" - ], - "𦒦": [ - "ㄌㄚ4" - ], - "𦒧": [ - "ㄏㄨㄛ4" - ], - "𦒰": [ - "ㄊㄞ4" - ], - "𦒴": [ - "ㄌㄠ3" - ], - "𦒶": [ - "ㄕㄨ4" - ], - "𦒺": [ - "ㄉㄠ4" - ], - "𦒻": [ - "ㄉㄧㄢ3" - ], - "𦓈": [ - "ㄒㄩㄥ4" - ], - "𦓋": [ - "ㄨㄤ4" - ], - "𦓍": [ - "ㄔㄜ3" - ], - "𦓎": [ - "ㄋㄞ4" - ], - "𦓐": [ - "ㄐㄩㄝ2" - ], - "𦓓": [ - "ㄦ2", - "ㄌㄧㄝ4" - ], - "𦓔": [ - "ㄦ2", - "ㄒㄩ1" - ], - "𦓕": [ - "ㄋㄩ2" - ], - "𦓖": [ - "ㄋㄩ4" - ], - "𦓝": [ - "ㄓㄨㄢ3" - ], - "𦓢": [ - "ㄋㄨㄛ4" - ], - "𦓤": [ - "ㄌㄧㄝ4" - ], - "𦓥": [ - "ㄌㄟ3" - ], - "𦓧": [ - "ㄅㄚ1" - ], - "𦓬": [ - "ㄔㄥ1" - ], - "𦓯": [ - "ㄍㄨㄟ1" - ], - "𦓰": [ - "ㄑㄩㄢ2" - ], - "𦓱": [ - "ㄍㄜ4" - ], - "𦓳": [ - "ㄍㄨㄥ3" - ], - "𦓴": [ - "ㄕㄠ4", - "ㄕㄠ1" - ], - "𦓹": [ - "ㄌㄞ2" - ], - "𦓺": [ - "ㄓㄥ1" - ], - "𦓻": [ - "ㄧ4" - ], - "𦓼": [ - "ㄍㄨㄣ3" - ], - "𦓽": [ - "ㄨㄟ1" - ], - "𦓾": [ - "ㄌㄨㄣ3", - "ㄎㄨㄣ3" - ], - "𦔂": [ - "ㄕ2" - ], - "𦔃": [ - "ㄧㄥ1" - ], - "𦔄": [ - "ㄕㄥ3" - ], - "𦔅": [ - "ㄊㄨ2" - ], - "𦔆": [ - "ㄅㄧ4" - ], - "𦔈": [ - "ㄗㄜ2" - ], - "𦔉": [ - "ㄓㄨㄥ4" - ], - "𦔋": [ - "ㄖㄨㄥ3" - ], - "𦔌": [ - "ㄑㄧ2", - "ㄙ2" - ], - "𦔍": [ - "ㄈㄨ4" - ], - "𦔎": [ - "ㄘㄜ4" - ], - "𦔓": [ - "ㄌㄧ2" - ], - "𦔔": [ - "ㄇㄢ2", - "ㄇㄢ4" - ], - "𦔖": [ - "ㄌㄧㄢ2" - ], - "𦔗": [ - "ㄅㄧㄠ1" - ], - "𦔛": [ - "ㄔㄨㄤ2" - ], - "𦔜": [ - "ㄧ4" - ], - "𦔠": [ - "ㄆㄞ4" - ], - "𦔥": [ - "ㄧ4", - "ㄕ4" - ], - "𦔦": [ - "ㄎㄨㄞ4" - ], - "𦔩": [ - "ㄅㄧㄠ1", - "ㄆㄠ1" - ], - "𦔫": [ - "ㄔ4", - "ㄧ4" - ], - "𦔬": [ - "ㄑㄩ2" - ], - "𦔭": [ - "ㄇㄛ4" - ], - "𦔮": [ - "ㄓㄜ2" - ], - "𦔯": [ - "ㄕㄚ4" - ], - "𦔰": [ - "ㄕㄚ4", - "ㄒㄩ1" - ], - "𦔷": [ - "ㄧㄠ1" - ], - "𦔸": [ - "ㄍㄨㄥ1" - ], - "𦔹": [ - "ㄋㄞ4" - ], - "𦔼": [ - "ㄒㄧㄝ4" - ], - "𦔿": [ - "ㄊㄧㄢ4" - ], - "𦕆": [ - "ㄧㄝ2" - ], - "𦕉": [ - "ㄕㄚ1" - ], - "𦕏": [ - "ㄙㄠ4" - ], - "𦕒": [ - "ㄉㄧㄢ1" - ], - "𦕓": [ - "ㄒㄩ4" - ], - "𦕙": [ - "ㄑㄩ2" - ], - "𦕠": [ - "ㄏㄨㄥ1" - ], - "𦕡": [ - "ㄕㄥ4" - ], - "𦕢": [ - "ㄊㄧㄥ4" - ], - "𦕰": [ - "ㄉㄨㄛ5" - ], - "𦕵": [ - "ㄌㄧㄠ2" - ], - "𦕷": [ - "ㄏㄨㄥ4" - ], - "𦕸": [ - "ㄌㄧ3" - ], - "𦕺": [ - "ㄒㄧㄤ3", - "ㄍㄠ1" - ], - "𦕽": [ - "ㄕㄣ4" - ], - "𦖀": [ - "ㄈㄨ1" - ], - "𦖈": [ - "ㄧㄢ3" - ], - "𦖉": [ - "ㄨㄤ3" - ], - "𦖊": [ - "ㄑㄧ1" - ], - "𦖋": [ - "ㄉㄨㄛ3" - ], - "𦖍": [ - "ㄏㄨㄚ4" - ], - "𦖎": [ - "ㄑㄧㄢ1" - ], - "𦖐": [ - "ㄒㄧㄝ4" - ], - "𦖝": [ - "ㄘ4" - ], - "𦖞": [ - "ㄕㄥ1", - "ㄨㄣ2" - ], - "𦖢": [ - "ㄦ4" - ], - "𦖤": [ - "ㄒㄧㄥ1" - ], - "𦖦": [ - "ㄊㄨㄟ4" - ], - "𦖧": [ - "ㄧㄢ4" - ], - "𦖩": [ - "ㄌㄧㄝ4" - ], - "𦖬": [ - "ㄇㄧ2" - ], - "𦖸": [ - "ㄗㄨㄥ4" - ], - "𦖺": [ - "ㄗ1" - ], - "𦖼": [ - "ㄏㄨ2" - ], - "𦖽": [ - "ㄧㄥ2" - ], - "𦖾": [ - "ㄌㄧㄢ2" - ], - "𦖿": [ - "ㄉㄚ1" - ], - "𦗀": [ - "ㄊㄧㄢ2" - ], - "𦗁": [ - "ㄊㄧㄢ4" - ], - "𦗋": [ - "ㄖㄨㄥ2" - ], - "𦗍": [ - "ㄞ4" - ], - "𦗐": [ - "ㄞ4" - ], - "𦗑": [ - "ㄓㄜ2" - ], - "𦗒": [ - "ㄍㄨㄛ1" - ], - "𦗓": [ - "ㄌㄨ4" - ], - "𦗔": [ - "ㄓㄠ1" - ], - "𦗕": [ - "ㄇㄧ2" - ], - "𦗖": [ - "ㄌㄧㄠ2" - ], - "𦗗": [ - "ㄓㄜ2" - ], - "𦗛": [ - "ㄑㄩ3" - ], - "𦗜": [ - "ㄘㄨㄥ1" - ], - "𦗟": [ - "ㄊㄧㄥ1", - "ㄊㄜ4" - ], - "𦗡": [ - "ㄊㄢ2" - ], - "𦗢": [ - "ㄓㄢ3" - ], - "𦗣": [ - "ㄏㄨ2" - ], - "𦗥": [ - "ㄆㄧㄝ1" - ], - "𦗧": [ - "ㄉㄚ1" - ], - "𦗨": [ - "ㄖㄨㄥ2" - ], - "𦗮": [ - "ㄋㄠ3" - ], - "𦗳": [ - "ㄋㄤ2" - ], - "𦗴": [ - "ㄉㄤ1" - ], - "𦗵": [ - "ㄐㄧㄠ3" - ], - "𦗻": [ - "ㄐㄩ4" - ], - "𦗼": [ - "ㄦ3" - ], - "𦘊": [ - "ㄌㄧ4" - ], - "𦘌": [ - "ㄍㄨㄛ1" - ], - "𦘍": [ - "ㄨㄞ4", - "ㄨㄚ4" - ], - "𦘒": [ - "ㄋㄧㄝ4" - ], - "𦘔": [ - "ㄐㄧㄣ1" - ], - "𦘩": [ - "ㄆㄧ3" - ], - "𦘪": [ - "ㄔ4" - ], - "𦘲": [ - "ㄆㄧ3" - ], - "𦘳": [ - "ㄧ4" - ], - "𦘴": [ - "ㄉㄨ1" - ], - "𦘵": [ - "ㄨㄚ3" - ], - "𦘶": [ - "ㄒㄩㄣ1" - ], - "𦘸": [ - "ㄑㄧ4" - ], - "𦘹": [ - "ㄕㄢ4", - "ㄩㄝ4" - ], - "𦘼": [ - "ㄒㄩ1" - ], - "𦘿": [ - "ㄏㄜ1" - ], - "𦙀": [ - "ㄆㄢ4" - ], - "𦙂": [ - "ㄆㄟ1" - ], - "𦙄": [ - "ㄒㄩㄥ1" - ], - "𦙆": [ - "ㄔ3" - ], - "𦙇": [ - "ㄊㄢ1" - ], - "𦙈": [ - "ㄗㄨㄟ4", - "ㄘㄨㄟ4" - ], - "𦙉": [ - "ㄗㄨㄢ3" - ], - "𦙊": [ - "ㄑㄧ4" - ], - "𦙋": [ - "ㄉㄨ1" - ], - "𦙙": [ - "ㄕㄨㄟ3" - ], - "𦙜": [ - "ㄋㄚ3" - ], - "𦙝": [ - "ㄒㄧ1" - ], - "𦙧": [ - "ㄔㄠ3" - ], - "𦙨": [ - "ㄧ4" - ], - "𦙫": [ - "ㄓㄥ1" - ], - "𦙮": [ - "ㄐㄩ2" - ], - "𦙯": [ - "ㄉㄞ4" - ], - "𦙱": [ - "ㄙㄢ1" - ], - "𦙴": [ - "ㄓㄨ4" - ], - "𦙵": [ - "ㄨㄢ4" - ], - "𦙶": [ - "ㄍㄨ3" - ], - "𦙸": [ - "ㄙㄢ1" - ], - "𦙹": [ - "ㄅㄢ4" - ], - "𦙺": [ - "ㄐㄧㄚ4", - "ㄐㄧㄚ1" - ], - "𦙻": [ - "ㄇㄞ4" - ], - "𦚈": [ - "ㄊㄨㄛ4", - "ㄉㄨ4" - ], - "𦚊": [ - "ㄑㄧ4" - ], - "𦚏": [ - "ㄓㄨㄤ1" - ], - "𦚐": [ - "ㄊㄨㄛ2" - ], - "𦚓": [ - "ㄆㄧㄥ2" - ], - "𦚝": [ - "ㄆㄥ1" - ], - "𦚞": [ - "ㄎㄨㄤ1", - "ㄎㄨㄤ4" - ], - "𦚟": [ - "ㄧ2" - ], - "𦚡": [ - "ㄒㄧㄝ4", - "ㄇㄞ4" - ], - "𦚢": [ - "ㄩㄝ1" - ], - "𦚣": [ - "ㄏㄣ2" - ], - "𦚥": [ - "ㄏㄡ2", - "ㄧㄡ2" - ], - "𦚦": [ - "ㄓㄥ1" - ], - "𦚧": [ - "ㄔㄨㄣ3" - ], - "𦚨": [ - "ㄕ4" - ], - "𦚩": [ - "ㄨㄚ3" - ], - "𦚫": [ - "ㄒㄧㄝ2" - ], - "𦚸": [ - "ㄍㄥ4" - ], - "𦛅": [ - "ㄜ4" - ], - "𦛏": [ - "ㄎㄨ2" - ], - "𦛐": [ - "ㄋㄚ4" - ], - "𦛓": [ - "ㄐㄩ1" - ], - "𦛔": [ - "ㄒㄩㄢ4" - ], - "𦛕": [ - "ㄑㄩ1" - ], - "𦛖": [ - "ㄔㄜ4" - ], - "𦛗": [ - "ㄌㄩ3" - ], - "𦛘": [ - "ㄏㄜ2" - ], - "𦛙": [ - "ㄕㄥ4" - ], - "𦛚": [ - "ㄋㄢ4" - ], - "𦛜": [ - "ㄏㄜ2", - "ㄏㄢ2" - ], - "𦛝": [ - "ㄔㄚ2" - ], - "𦛞": [ - "ㄧㄢ1" - ], - "𦛟": [ - "ㄍㄥ3" - ], - "𦛠": [ - "ㄋㄧㄝ4" - ], - "𦛢": [ - "ㄍㄨㄛ2" - ], - "𦛣": [ - "ㄧㄢ2" - ], - "𦛤": [ - "ㄍㄨㄢ3" - ], - "𦛧": [ - "ㄓ4" - ], - "𦛨": [ - "ㄌㄠ5" - ], - "𦛯": [ - "ㄉㄨ3" - ], - "𦛰": [ - "ㄑㄧ4" - ], - "𦛱": [ - "ㄑㄩ1" - ], - "𦛲": [ - "ㄐㄩㄝ2" - ], - "𦜁": [ - "ㄈㄥ1" - ], - "𦜃": [ - "ㄒㄩ4" - ], - "𦜄": [ - "ㄊㄨㄟ4" - ], - "𦜆": [ - "ㄏㄢ2" - ], - "𦜇": [ - "ㄎㄨ1" - ], - "𦜊": [ - "ㄕㄣ1" - ], - "𦜋": [ - "ㄓ4" - ], - "𦜍": [ - "ㄆㄤ4" - ], - "𦜎": [ - "ㄓㄥ1" - ], - "𦜏": [ - "ㄌㄧ4" - ], - "𦜐": [ - "ㄨㄢ3" - ], - "𦜒": [ - "ㄈㄢ3" - ], - "𦜓": [ - "ㄒㄧㄣ4" - ], - "𦜖": [ - "ㄧㄚ4" - ], - "𦜛": [ - "ㄐㄩ1" - ], - "𦜜": [ - "ㄕㄣ4" - ], - "𦜭": [ - "ㄇㄤ3" - ], - "𦜯": [ - "ㄊㄨㄣ3" - ], - "𦜰": [ - "ㄓㄨㄛ2" - ], - "𦜱": [ - "ㄒㄧ1" - ], - "𦜲": [ - "ㄧㄣ4" - ], - "𦜳": [ - "ㄐㄧㄥ1" - ], - "𦜴": [ - "ㄊㄨㄣ2" - ], - "𦜷": [ - "ㄍㄥ4" - ], - "𦜸": [ - "ㄐㄧ4" - ], - "𦝏": [ - "ㄓㄨㄢ3", - "ㄕㄨㄢ4" - ], - "𦝒": [ - "ㄊㄧㄝ1" - ], - "𦝔": [ - "ㄓ1" - ], - "𦝖": [ - "ㄐㄧ2" - ], - "𦝚": [ - "ㄧㄥ2" - ], - "𦝛": [ - "ㄨㄟ4" - ], - "𦝝": [ - "ㄏㄨㄢ4" - ], - "𦝞": [ - "ㄊㄧㄥ2" - ], - "𦝟": [ - "ㄔㄢ2" - ], - "𦝢": [ - "ㄎㄨㄟ2" - ], - "𦝣": [ - "ㄑㄧㄚ4", - "ㄎㄜ1" - ], - "𦝤": [ - "ㄅㄢ4" - ], - "𦝥": [ - "ㄔㄚ1", - "ㄓㄚ2" - ], - "𦝦": [ - "ㄊㄨㄛ3" - ], - "𦝧": [ - "ㄋㄢ3" - ], - "𦝨": [ - "ㄐㄧㄝ1" - ], - "𦝪": [ - "ㄧㄢ1" - ], - "𦝬": [ - "ㄊㄨ2" - ], - "𦝮": [ - "ㄨㄣ3" - ], - "𦝰": [ - "ㄘㄨㄥ1" - ], - "𦝳": [ - "ㄒㄩ4" - ], - "𦝴": [ - "ㄧㄣ4" - ], - "𦝷": [ - "ㄅㄥ4" - ], - "𦝼": [ - "ㄌㄩ2", - "ㄌㄡ2" - ], - "𦞁": [ - "ㄗㄞ1" - ], - "𦞂": [ - "ㄉㄚ1", - "ㄉㄚ5" - ], - "𦞆": [ - "ㄋㄧㄝ4" - ], - "𦞇": [ - "ㄐㄩ3" - ], - "𦞈": [ - "ㄏㄡ2" - ], - "𦞌": [ - "ㄍㄥ4" - ], - "𦞕": [ - "ㄏㄡ2" - ], - "𦞖": [ - "ㄎㄢ1" - ], - "𦞗": [ - "ㄍㄨㄥ1" - ], - "𦞙": [ - "ㄏㄨㄟ3" - ], - "𦞚": [ - "ㄒㄧㄝ4" - ], - "𦞝": [ - "ㄒㄧ4" - ], - "𦞞": [ - "ㄏㄢ2" - ], - "𦞟": [ - "ㄇㄧ2" - ], - "𦞡": [ - "ㄨㄥ3" - ], - "𦞢": [ - "ㄏㄨㄣ4" - ], - "𦞣": [ - "ㄙㄠ1" - ], - "𦞤": [ - "ㄒㄧㄣ4", - "ㄗ3" - ], - "𦞥": [ - "ㄓㄜ2" - ], - "𦞦": [ - "ㄏㄨㄛ4", - "ㄏㄜ4" - ], - "𦞨": [ - "ㄍㄨㄥ1" - ], - "𦞫": [ - "ㄙㄞ4" - ], - "𦞬": [ - "ㄐㄧㄣ1", - "ㄐㄧㄢ4" - ], - "𦞭": [ - "ㄨㄚ1" - ], - "𦞱": [ - "ㄉㄨㄟ3" - ], - "𦞲": [ - "ㄔ1" - ], - "𦞽": [ - "ㄒㄧ1", - "ㄨㄟ4", - "ㄐㄧ2" - ], - "𦟂": [ - "ㄇㄧ2" - ], - "𦟃": [ - "ㄗㄤ1" - ], - "𦟄": [ - "ㄙㄤ3", - "ㄙㄠ4" - ], - "𦟓": [ - "ㄊㄨㄣ2" - ], - "𦟔": [ - "ㄓ4" - ], - "𦟕": [ - "ㄨㄣ3" - ], - "𦟘": [ - "ㄧㄣ2" - ], - "𦟙": [ - "ㄊㄨㄣ3" - ], - "𦟛": [ - "ㄔㄨㄥ1" - ], - "𦟜": [ - "ㄗㄜ2" - ], - "𦟞": [ - "ㄒㄧㄠ1" - ], - "𦟟": [ - "ㄇㄛ2" - ], - "𦟠": [ - "ㄘㄨ4" - ], - "𦟣": [ - "ㄅㄧㄢ3" - ], - "𦟤": [ - "ㄒㄧㄡ1" - ], - "𦟧": [ - "ㄧ2" - ], - "𦟮": [ - "ㄏㄨㄤ3" - ], - "𦟰": [ - "ㄓㄚ1" - ], - "𦟱": [ - "ㄙㄨㄛ1" - ], - "𦟲": [ - "ㄏㄨㄣ2" - ], - "𦟳": [ - "ㄐㄩ4" - ], - "𦠁": [ - "ㄘㄨ4" - ], - "𦠄": [ - "ㄐㄧ1" - ], - "𦠅": [ - "ㄒㄩㄣ2" - ], - "𦠆": [ - "ㄙㄨㄣ3", - "ㄓㄨㄢ4" - ], - "𦠇": [ - "ㄘㄥ2" - ], - "𦠉": [ - "ㄧ4" - ], - "𦠎": [ - "ㄅㄧㄠ1" - ], - "𦠒": [ - "ㄐㄩㄝ2" - ], - "𦠓": [ - "ㄌㄧ4" - ], - "𦠖": [ - "ㄆㄠ4" - ], - "𦠛": [ - "ㄗㄚ1" - ], - "𦠜": [ - "ㄧㄝ4" - ], - "𦠞": [ - "ㄅㄧ4" - ], - "𦠟": [ - "ㄓㄜ4" - ], - "𦠠": [ - "ㄓㄜ4" - ], - "𦠢": [ - "ㄐㄧㄡ4" - ], - "𦠣": [ - "ㄓㄜ2" - ], - "𦠦": [ - "ㄕㄨ4" - ], - "𦠪": [ - "ㄒㄧ1" - ], - "𦠷": [ - "ㄒㄩ3" - ], - "𦠸": [ - "ㄋㄞ3" - ], - "𦠹": [ - "ㄒㄧㄢ2" - ], - "𦠺": [ - "ㄍㄨㄣ3" - ], - "𦠻": [ - "ㄨㄟ4" - ], - "𦠾": [ - "ㄐㄧ2" - ], - "𦠿": [ - "ㄙㄚ4" - ], - "𦡂": [ - "ㄉㄨㄥ3" - ], - "𦡃": [ - "ㄋㄨㄛ2", - "ㄋㄧㄝ2" - ], - "𦡄": [ - "ㄉㄨ4" - ], - "𦡅": [ - "ㄓㄥ1" - ], - "𦡆": [ - "ㄎㄨ1" - ], - "𦡉": [ - "ㄇㄧㄥ2" - ], - "𦡕": [ - "ㄅㄠ2" - ], - "𦡖": [ - "ㄏㄨㄟ4" - ], - "𦡙": [ - "ㄗㄨㄥ1" - ], - "𦡨": [ - "ㄙㄢ4" - ], - "𦡪": [ - "ㄊㄥ1" - ], - "𦡫": [ - "ㄧ2" - ], - "𦡭": [ - "ㄩ4" - ], - "𦡱": [ - "ㄧㄠ4", - "ㄕㄠ4" - ], - "𦡲": [ - "ㄋㄧㄥ3" - ], - "𦡴": [ - "ㄔㄡ2", - "ㄓㄡ3" - ], - "𦡵": [ - "ㄏㄨㄣ4" - ], - "𦡷": [ - "ㄉㄨㄟ4" - ], - "𦡹": [ - "ㄑㄧ4" - ], - "𦡺": [ - "ㄧㄥ3" - ], - "𦡻": [ - "ㄅㄧㄥ4" - ], - "𦡼": [ - "ㄋㄧㄥ2" - ], - "𦡽": [ - "ㄏㄨㄤ2" - ], - "𦢆": [ - "ㄧㄥ3" - ], - "𦢊": [ - "ㄅㄠ2", - "ㄅㄛ2" - ], - "𦢎": [ - "ㄍㄨㄤ4" - ], - "𦢏": [ - "ㄌㄟ3" - ], - "𦢐": [ - "ㄗㄨㄣ3" - ], - "𦢙": [ - "ㄔㄢ3", - "ㄑㄧㄢ1", - "ㄒㄧㄢ1" - ], - "𦢣": [ - "ㄐㄧㄢ3" - ], - "𦢧": [ - "ㄇㄥ2" - ], - "𦢩": [ - "ㄒㄧㄠ4", - "ㄙㄡ1" - ], - "𦢯": [ - "ㄒㄧㄣ4", - "ㄒㄧㄥ4" - ], - "𦢱": [ - "ㄌㄧ2" - ], - "𦢺": [ - "ㄑㄧㄠ3" - ], - "𦢿": [ - "ㄨㄟ3", - "ㄐㄩㄢ3" - ], - "𦣀": [ - "ㄋㄚ4", - "ㄋㄧㄝ4", - "ㄓㄜ2" - ], - "𦣂": [ - "ㄆㄤ1" - ], - "𦣄": [ - "ㄌㄟ2" - ], - "𦣇": [ - "ㄌㄨㄛ2" - ], - "𦣋": [ - "ㄌㄨㄢ2" - ], - "𦣍": [ - "ㄍㄥ1" - ], - "𦣏": [ - "ㄌㄨㄢ2" - ], - "𦣒": [ - "ㄑㄩ2" - ], - "𦣖": [ - "ㄌㄨㄛ2" - ], - "𦣘": [ - "ㄋㄤ2" - ], - "𦣛": [ - "ㄌㄨㄛ2" - ], - "𦣜": [ - "ㄩㄝ4" - ], - "𦣢": [ - "ㄕㄨㄟ4" - ], - "𦣥": [ - "ㄇㄧ4" - ], - "𦣦": [ - "ㄨㄤ2" - ], - "𦣧": [ - "ㄘㄜ4" - ], - "𦣨": [ - "ㄐㄧㄢ1" - ], - "𦣩": [ - "ㄨㄤ3" - ], - "𦣯": [ - "ㄐㄧㄚ1" - ], - "𦣴": [ - "ㄏㄨㄢ2" - ], - "𦣸": [ - "ㄌㄧㄢ4" - ], - "𦣹": [ - "ㄗ4" - ], - "𦣺": [ - "ㄅㄞ2" - ], - "𦣻": [ - "ㄕㄡ3", - "ㄅㄞ3" - ], - "𦣾": [ - "ㄨㄢ3" - ], - "𦤂": [ - "ㄕㄨ1" - ], - "𦤇": [ - "ㄍㄨㄟ1" - ], - "𦤈": [ - "ㄒㄧ1" - ], - "𦤊": [ - "ㄖㄨ2" - ], - "𦤋": [ - "ㄧㄠ4" - ], - "𦤎": [ - "ㄍㄠ1" - ], - "𦤕": [ - "ㄩㄝ4" - ], - "𦤘": [ - "ㄩㄥ1" - ], - "𦤙": [ - "ㄨㄚ4" - ], - "𦤚": [ - "ㄅㄛ2" - ], - "𦤟": [ - "ㄒㄧㄣ4" - ], - "𦤢": [ - "ㄆㄧ4" - ], - "𦤣": [ - "ㄅㄛ2" - ], - "𦤦": [ - "ㄏㄞ4", - "ㄏㄜ4", - "ㄞ4" - ], - "𦤧": [ - "ㄓㄞ4" - ], - "𦤨": [ - "ㄨㄛ4" - ], - "𦤪": [ - "ㄧㄝ4" - ], - "𦤫": [ - "ㄅㄧ4", - "ㄅㄧ2" - ], - "𦤬": [ - "ㄏㄞ4" - ], - "𦤸": [ - "ㄔ4" - ], - "𦤻": [ - "ㄓ4" - ], - "𦤽": [ - "ㄋㄧ2" - ], - "𦥁": [ - "ㄨ2" - ], - "𦥂": [ - "ㄞ3" - ], - "𦥈": [ - "ㄞ3" - ], - "𦥉": [ - "ㄩ3" - ], - "𦥊": [ - "ㄔ4" - ], - "𦥍": [ - "ㄐㄧㄥ4" - ], - "𦥎": [ - "ㄓ4" - ], - "𦥏": [ - "ㄓ4" - ], - "𦥐": [ - "ㄓ4" - ], - "𦥑": [ - "ㄐㄩ2", - "ㄐㄩ3", - "ㄆㄡ2" - ], - "𦥖": [ - "ㄏㄢ2", - "ㄒㄧㄢ2" - ], - "𦥚": [ - "ㄆㄧㄥ1" - ], - "𦥝": [ - "ㄧㄠ3" - ], - "𦥣": [ - "ㄧㄡ2" - ], - "𦥤": [ - "ㄆㄧㄥ1" - ], - "𦥦": [ - "ㄇㄛ4" - ], - "𦥬": [ - "ㄗㄨㄛ4" - ], - "𦥭": [ - "ㄆㄛ4" - ], - "𦥯": [ - "ㄒㄩㄝ2" - ], - "𦥰": [ - "ㄎㄨㄤ2" - ], - "𦥱": [ - "ㄧ4" - ], - "𦥲": [ - "ㄆㄛ4" - ], - "𦥻": [ - "ㄓㄨㄟ4" - ], - "𦦃": [ - "ㄋㄧ2" - ], - "𦦄": [ - "ㄑㄧㄡ3" - ], - "𦦅": [ - "ㄘㄡ4" - ], - "𦦌": [ - "ㄧㄠ3" - ], - "𦦑": [ - "ㄈㄣ2" - ], - "𦦕": [ - "ㄒㄧㄚ2" - ], - "𦦗": [ - "ㄐㄧㄤ1" - ], - "𦦘": [ - "ㄔㄚ1" - ], - "𦦛": [ - "ㄒㄧㄠ4" - ], - "𦦜": [ - "ㄔㄚ1" - ], - "𦦢": [ - "ㄔㄥ2" - ], - "𦦣": [ - "ㄘㄨㄟ4" - ], - "𦦧": [ - "ㄑㄩㄥ2", - "ㄍㄨㄥ3" - ], - "𦦩": [ - "ㄩ4" - ], - "𦦫": [ - "ㄩ2" - ], - "𦦯": [ - "ㄨㄣ4" - ], - "𦦱": [ - "ㄔㄚ1" - ], - "𦦲": [ - "ㄩ3", - "ㄩ4" - ], - "𦦹": [ - "ㄗㄨㄛ2" - ], - "𦦺": [ - "ㄉㄠ3" - ], - "𦦽": [ - "ㄐㄩㄢ4", - "ㄈㄢ4" - ], - "𦦾": [ - "ㄉㄠ3" - ], - "𦦿": [ - "ㄧㄥ1" - ], - "𦧁": [ - "ㄈㄥ3" - ], - "𦧅": [ - "ㄨㄥ4" - ], - "𦧈": [ - "ㄐㄧㄣ4" - ], - "𦧉": [ - "ㄑㄧ4" - ], - "𦧋": [ - "ㄑㄧㄣ4" - ], - "𦧍": [ - "ㄎㄨㄛ4" - ], - "𦧏": [ - "ㄊㄢ1" - ], - "𦧐": [ - "ㄒㄧㄢ1" - ], - "𦧒": [ - "ㄊㄧㄢ1" - ], - "𦧔": [ - "ㄎㄨㄛ4" - ], - "𦧖": [ - "ㄊㄧㄢ4" - ], - "𦧘": [ - "ㄏㄨ2" - ], - "𦧙": [ - "ㄓㄨ1" - ], - "𦧚": [ - "ㄓㄢ1" - ], - "𦧛": [ - "ㄊㄚ4" - ], - "𦧝": [ - "ㄊㄧㄢ1" - ], - "𦧞": [ - "ㄊㄚ4" - ], - "𦧟": [ - "ㄊㄚ4" - ], - "𦧠": [ - "ㄏㄨㄚ2" - ], - "𦧡": [ - "ㄧㄢ3", - "ㄊㄧㄢ4" - ], - "𦧢": [ - "ㄊㄧㄝ4" - ], - "𦧤": [ - "ㄊㄧㄝ4" - ], - "𦧥": [ - "ㄊㄚ4" - ], - "𦧬": [ - "ㄏㄨㄞ4" - ], - "𦧮": [ - "ㄐㄧㄚ2" - ], - "𦧯": [ - "ㄑㄧ4" - ], - "𦧱": [ - "ㄊㄚ4" - ], - "𦧴": [ - "ㄊㄢ1" - ], - "𦧵": [ - "ㄏㄨㄚ4" - ], - "𦧸": [ - "ㄓㄨㄢ4" - ], - "𦧹": [ - "ㄏㄨㄚ1" - ], - "𦧼": [ - "ㄌㄢ2" - ], - "𦨆": [ - "ㄗㄨㄣ1" - ], - "𦨇": [ - "ㄧ4" - ], - "𦨈": [ - "ㄈㄨ2" - ], - "𦨉": [ - "ㄨ4" - ], - "𦨋": [ - "ㄈㄨ2" - ], - "𦨍": [ - "ㄉㄧㄥ1" - ], - "𦨎": [ - "ㄊㄚ4" - ], - "𦨖": [ - "ㄔㄠ4" - ], - "𦨙": [ - "ㄖ4" - ], - "𦨚": [ - "ㄑㄩㄢ3" - ], - "𦨜": [ - "ㄍㄜ1" - ], - "𦨡": [ - "ㄈㄨ2" - ], - "𦨢": [ - "ㄉㄧ4" - ], - "𦨣": [ - "ㄉㄧㄠ1" - ], - "𦨤": [ - "ㄩㄥ3" - ], - "𦨦": [ - "ㄐㄧㄚ4" - ], - "𦨩": [ - "ㄌㄨㄥ2" - ], - "𦨬": [ - "ㄩㄥ3" - ], - "𦨭": [ - "ㄆㄧ2" - ], - "𦨯": [ - "ㄏㄨㄛ2" - ], - "𦨰": [ - "ㄑㄩㄥ2" - ], - "𦨲": [ - "ㄈㄢ2" - ], - "𦨳": [ - "ㄨ2" - ], - "𦨴": [ - "ㄊㄨㄥ2" - ], - "𦨵": [ - "ㄏㄤ2" - ], - "𦨸": [ - "ㄊㄢ1" - ], - "𦨾": [ - "ㄏㄥ1" - ], - "𦩄": [ - "ㄊㄧㄠ1" - ], - "𦩈": [ - "ㄓㄡ1" - ], - "𦩋": [ - "ㄅㄞ4" - ], - "𦩌": [ - "ㄒㄧㄝ4" - ], - "𦩍": [ - "ㄉㄠ1", - "ㄉㄧㄠ1" - ], - "𦩏": [ - "ㄐㄧㄣ1", - "ㄨㄟ2" - ], - "𦩕": [ - "ㄏㄨ1" - ], - "𦩖": [ - "ㄅㄟ1" - ], - "𦩘": [ - "ㄉㄧㄥ4" - ], - "𦩜": [ - "ㄋㄨㄛ2" - ], - "𦩝": [ - "ㄨㄟ4" - ], - "𦩞": [ - "ㄩ2" - ], - "𦩠": [ - "ㄒㄧㄥ1" - ], - "𦩡": [ - "ㄈㄨ2" - ], - "𦩢": [ - "ㄒㄧㄢ4" - ], - "𦩣": [ - "ㄑㄧ4" - ], - "𦩤": [ - "ㄊㄨ1" - ], - "𦩧": [ - "ㄐㄧ2" - ], - "𦩩": [ - "ㄧㄥ4" - ], - "𦩫": [ - "ㄉㄥ4", - "ㄊㄥ2" - ], - "𦩬": [ - "ㄨㄟ1" - ], - "𦩭": [ - "ㄒㄧ1" - ], - "𦩯": [ - "ㄆㄞ2" - ], - "𦩱": [ - "ㄕㄥ2" - ], - "𦩲": [ - "ㄧㄡ3" - ], - "𦩴": [ - "ㄞ2" - ], - "𦩵": [ - "ㄐㄧㄢ4" - ], - "𦩷": [ - "ㄍㄡ1" - ], - "𦩸": [ - "ㄖㄨㄛ4" - ], - "𦩼": [ - "ㄍㄨㄥ4" - ], - "𦩿": [ - "ㄕㄚ4" - ], - "𦪀": [ - "ㄊㄤ2" - ], - "𦪇": [ - "ㄌㄨ4" - ], - "𦪈": [ - "ㄠ2" - ], - "𦪊": [ - "ㄑㄧ4" - ], - "𦪋": [ - "ㄒㄧㄡ1" - ], - "𦪍": [ - "ㄉㄞ1" - ], - "𦪑": [ - "ㄈㄚ2" - ], - "𦪒": [ - "ㄨㄟ4" - ], - "𦪔": [ - "ㄉㄨㄣ4" - ], - "𦪕": [ - "ㄌㄧㄠ2" - ], - "𦪖": [ - "ㄈㄢ1" - ], - "𦪗": [ - "ㄏㄨㄤ2", - "ㄏㄥ2" - ], - "𦪘": [ - "ㄐㄩㄝ2" - ], - "𦪙": [ - "ㄊㄚ4" - ], - "𦪚": [ - "ㄗㄨㄣ4" - ], - "𦪛": [ - "ㄖㄠ2" - ], - "𦪜": [ - "ㄘㄢ1" - ], - "𦪝": [ - "ㄊㄥ2" - ], - "𦪠": [ - "ㄏㄨㄚ4" - ], - "𦪡": [ - "ㄒㄩ1" - ], - "𦪣": [ - "ㄓㄢ1" - ], - "𦪧": [ - "ㄍㄢ3" - ], - "𦪪": [ - "ㄆㄥ2" - ], - "𦪫": [ - "ㄘㄢ1" - ], - "𦪬": [ - "ㄒㄧㄝ1" - ], - "𦪭": [ - "ㄉㄚ2" - ], - "𦪱": [ - "ㄐㄧ4" - ], - "𦪶": [ - "ㄌㄧ3" - ], - "𦪹": [ - "ㄆㄢ2" - ], - "𦪽": [ - "ㄌㄨㄥ2", - "ㄌㄨㄥ3" - ], - "𦪾": [ - "ㄌㄧ4" - ], - "𦪿": [ - "ㄒㄧ2" - ], - "𦫀": [ - "ㄊㄥ2" - ], - "𦫃": [ - "ㄌㄧㄥ2" - ], - "𦫈": [ - "ㄌㄧ3" - ], - "𦫉": [ - "ㄖㄢ2" - ], - "𦫊": [ - "ㄌㄧㄥ2" - ], - "𦫎": [ - "ㄍㄨㄣ3" - ], - "𦫔": [ - "ㄆㄛ1" - ], - "𦫕": [ - "ㄇㄛ4" - ], - "𦫖": [ - "ㄆㄞ1" - ], - "𦫙": [ - "ㄅㄚ4" - ], - "𦫡": [ - "ㄑㄧ2" - ], - "𦫤": [ - "ㄧㄢ2" - ], - "𦫪": [ - "ㄨㄚ4" - ], - "𦫫": [ - "ㄤ3" - ], - "𦫭": [ - "ㄇㄧㄥ4" - ], - "𦫮": [ - "ㄇㄧㄣ3" - ], - "𦫯": [ - "ㄒㄩㄣ4" - ], - "𦫰": [ - "ㄇㄥ2" - ], - "𦫳": [ - "ㄍㄨㄞ3" - ], - "𦫶": [ - "ㄐㄧㄠ1" - ], - "𦫻": [ - "ㄍㄞ3" - ], - "𦬁": [ - "ㄘㄞ2" - ], - "𦬂": [ - "ㄨ4" - ], - "𦬃": [ - "ㄓㄜ2" - ], - "𦬄": [ - "ㄖㄣ3" - ], - "𦬅": [ - "ㄎㄡ1" - ], - "𦬔": [ - "ㄓㄠ3" - ], - "𦬕": [ - "ㄓㄨㄥ1" - ], - "𦬖": [ - "ㄑㄧㄡ2" - ], - "𦬗": [ - "ㄍㄨㄛ1" - ], - "𦬘": [ - "ㄍㄨㄥ1", - "ㄙㄨㄥ1" - ], - "𦬙": [ - "ㄆㄨ1" - ], - "𦬚": [ - "ㄏㄨ4" - ], - "𦬛": [ - "ㄇㄧㄢ3" - ], - "𦬞": [ - "ㄊㄧㄢ1" - ], - "𦬣": [ - "ㄨㄤ3" - ], - "𦬸": [ - "ㄓㄨ2" - ], - "𦬹": [ - "ㄉㄚ2", - "ㄉㄢ4" - ], - "𦬺": [ - "ㄒㄩㄥ4", - "ㄏㄨㄤ3" - ], - "𦬻": [ - "ㄋㄚ2" - ], - "𦬾": [ - "ㄐㄩㄢ1" - ], - "𦭁": [ - "ㄋㄧㄢ3" - ], - "𦭈": [ - "ㄏㄨ4" - ], - "𦭉": [ - "ㄕㄚ1" - ], - "𦭜": [ - "ㄓ1" - ], - "𦭟": [ - "ㄊㄚ1" - ], - "𦭡": [ - "ㄙ1" - ], - "𦭥": [ - "ㄧ4" - ], - "𦭭": [ - "ㄑㄩㄥ2" - ], - "𦭮": [ - "ㄓ4" - ], - "𦭯": [ - "ㄌㄩ3", - "ㄌㄡ2" - ], - "𦭰": [ - "ㄖㄨ2" - ], - "𦭲": [ - "ㄑㄧ2" - ], - "𦭳": [ - "ㄩ3" - ], - "𦭴": [ - "ㄓㄡ1" - ], - "𦭵": [ - "ㄧㄤ2" - ], - "𦭶": [ - "ㄒㄧㄢ3" - ], - "𦭷": [ - "ㄇㄡ2" - ], - "𦭸": [ - "ㄔㄡ2" - ], - "𦭹": [ - "ㄏㄨㄟ1" - ], - "𦭺": [ - "ㄐㄧㄡ1" - ], - "𦭻": [ - "ㄐㄧㄡ4" - ], - "𦭼": [ - "ㄆㄧㄠ3", - "ㄅㄧ4" - ], - "𦮁": [ - "ㄐㄧㄠ4" - ], - "𦮃": [ - "ㄍㄨㄞ1", - "ㄎㄨㄚ1" - ], - "𦮅": [ - "ㄇㄛ4" - ], - "𦮐": [ - "ㄒㄧ1" - ], - "𦮑": [ - "ㄆㄨ2" - ], - "𦮯": [ - "ㄐㄧ4" - ], - "𦮶": [ - "ㄨㄣ3" - ], - "𦮷": [ - "ㄅㄟ4" - ], - "𦮸": [ - "ㄧ3" - ], - "𦮹": [ - "ㄈㄨ2" - ], - "𦮺": [ - "ㄙ1" - ], - "𦮻": [ - "ㄐㄩㄢ1" - ], - "𦮼": [ - "ㄐㄧ4", - "ㄑㄧ2" - ], - "𦮾": [ - "ㄋㄧ4" - ], - "𦯀": [ - "ㄅㄣ4" - ], - "𦯅": [ - "ㄒㄩ4" - ], - "𦯈": [ - "ㄑㄧㄣ3" - ], - "𦯉": [ - "ㄅㄛ2" - ], - "𦯌": [ - "ㄨㄤ2" - ], - "𦯍": [ - "ㄓㄜ4" - ], - "𦯏": [ - "ㄨㄛ4" - ], - "𦯐": [ - "ㄕㄠ2" - ], - "𦯑": [ - "ㄗㄠ4" - ], - "𦯒": [ - "ㄧㄤ3" - ], - "𦯕": [ - "ㄙㄨㄥ4" - ], - "𦯖": [ - "ㄋㄧㄝ4" - ], - "𦯛": [ - "ㄅㄧ4" - ], - "𦯣": [ - "ㄘㄨ2" - ], - "𦯤": [ - "ㄑㄧㄤ1" - ], - "𦯪": [ - "ㄒㄧㄠ4" - ], - "𦯫": [ - "ㄓ1" - ], - "𦯬": [ - "ㄕㄜ2" - ], - "𦯯": [ - "ㄓ4" - ], - "𦯰": [ - "ㄆㄥ1" - ], - "𦰏": [ - "ㄉㄧㄠ4" - ], - "𦰖": [ - "ㄨㄛ4" - ], - "𦰘": [ - "ㄓ3" - ], - "𦰙": [ - "ㄅㄧ4" - ], - "𦰛": [ - "ㄈㄣ2" - ], - "𦰡": [ - "ㄋㄚ4", - "ㄋㄨㄛ2" - ], - "𦰥": [ - "ㄅㄤ1" - ], - "𦰪": [ - "ㄑㄧㄡ2" - ], - "𦰫": [ - "ㄋㄧ3" - ], - "𦰬": [ - "ㄅㄛ2" - ], - "𦰭": [ - "ㄉㄨㄣ4" - ], - "𦰯": [ - "ㄕ3" - ], - "𦰰": [ - "ㄒㄩ1" - ], - "𦰱": [ - "ㄔㄤ2" - ], - "𦰲": [ - "ㄒㄩ1" - ], - "𦰳": [ - "ㄧㄝ2" - ], - "𦰴": [ - "ㄇㄧ2" - ], - "𦰸": [ - "ㄒㄧㄣ1" - ], - "𦰹": [ - "ㄓㄨㄛ2" - ], - "𦰺": [ - "ㄈㄨ4" - ], - "𦰽": [ - "ㄆㄧ3" - ], - "𦰾": [ - "ㄒㄩㄝ4" - ], - "𦱀": [ - "ㄩ4" - ], - "𦱁": [ - "ㄒㄧㄢ2" - ], - "𦱂": [ - "ㄩ4" - ], - "𦱃": [ - "ㄩ2" - ], - "𦱅": [ - "ㄐㄩ1" - ], - "𦱆": [ - "ㄊㄚ1" - ], - "𦱇": [ - "ㄎㄨㄥ1" - ], - "𦱊": [ - "ㄓㄥ1" - ], - "𦱋": [ - "ㄇㄥ2" - ], - "𦱌": [ - "ㄍㄤ1" - ], - "𦱒": [ - "ㄇㄨ4" - ], - "𦱓": [ - "ㄒㄧ3" - ], - "𦱔": [ - "ㄅㄧ4" - ], - "𦱖": [ - "ㄈㄨ4" - ], - "𦱜": [ - "ㄒㄧㄠ4" - ], - "𦱠": [ - "ㄐㄧㄡ1" - ], - "𦱣": [ - "ㄍㄡ3" - ], - "𦱰": [ - "ㄔ2" - ], - "𦱱": [ - "ㄐㄧㄡ1" - ], - "𦱲": [ - "ㄐㄧㄡ1" - ], - "𦱵": [ - "ㄕㄚ1" - ], - "𦱷": [ - "ㄈㄟ1" - ], - "𦲫": [ - "ㄈㄨ2" - ], - "𦲯": [ - "ㄨㄢ4" - ], - "𦲰": [ - "ㄒㄩ1" - ], - "𦲱": [ - "ㄅㄛ1" - ], - "𦳁": [ - "ㄏㄠ4", - "ㄇㄠ4" - ], - "𦳃": [ - "ㄒㄧㄝ2" - ], - "𦳄": [ - "ㄆㄧㄢ2" - ], - "𦳅": [ - "ㄩ3" - ], - "𦳇": [ - "ㄊㄧㄢ2" - ], - "𦳈": [ - "ㄆㄧ2", - "ㄅㄧ4" - ], - "𦳊": [ - "ㄕ3" - ], - "𦳋": [ - "ㄎㄨㄞ3" - ], - "𦳌": [ - "ㄐㄧ1" - ], - "𦳏": [ - "ㄓㄚ1" - ], - "𦳐": [ - "ㄋㄞ4", - "ㄋㄚ4" - ], - "𦳑": [ - "ㄇㄡ3" - ], - "𦳓": [ - "ㄈㄨ2" - ], - "𦳔": [ - "ㄉㄨ4" - ], - "𦳗": [ - "ㄕㄥ3" - ], - "𦳘": [ - "ㄔㄚ2" - ], - "𦳚": [ - "ㄔ2" - ], - "𦳛": [ - "ㄍㄨㄟ3" - ], - "𦳜": [ - "ㄇㄧㄣ2" - ], - "𦳝": [ - "ㄊㄤ1", - "ㄉㄤ4" - ], - "𦳞": [ - "ㄅㄞ4" - ], - "𦳟": [ - "ㄑㄧㄤ1" - ], - "𦳡": [ - "ㄓㄨㄛ2" - ], - "𦳢": [ - "ㄨㄟ4" - ], - "𦳣": [ - "ㄒㄩㄣ2" - ], - "𦳥": [ - "ㄇㄧㄠ3" - ], - "𦳦": [ - "ㄗㄞ1" - ], - "𦳧": [ - "ㄧㄡ2" - ], - "𦳩": [ - "ㄧㄡ4" - ], - "𦳫": [ - "ㄕㄢ1" - ], - "𦳬": [ - "ㄏㄜ2" - ], - "𦳭": [ - "ㄌㄩ3" - ], - "𦳮": [ - "ㄓ2" - ], - "𦳲": [ - "ㄐㄧㄥ4" - ], - "𦳳": [ - "ㄓㄣ1" - ], - "𦳶": [ - "ㄇㄥ2" - ], - "𦳷": [ - "ㄧㄡ2" - ], - "𦳹": [ - "ㄨㄛ4" - ], - "𦳺": [ - "ㄅㄚ2" - ], - "𦳽": [ - "ㄐㄩㄢ4" - ], - "𦳾": [ - "ㄖㄨ2" - ], - "𦳿": [ - "ㄘㄡ4" - ], - "𦴀": [ - "ㄓ1" - ], - "𦴉": [ - "ㄏㄨ2" - ], - "𦴊": [ - "ㄧㄤ1" - ], - "𦴌": [ - "ㄐㄩㄣ4" - ], - "𦴍": [ - "ㄕㄜ2" - ], - "𦴎": [ - "ㄎㄡ4" - ], - "𦴑": [ - "ㄑㄧㄢ2" - ], - "𦴔": [ - "ㄇㄥ2" - ], - "𦴚": [ - "ㄊㄧㄠ2" - ], - "𦵐": [ - "ㄋㄧㄝ4" - ], - "𦵟": [ - "ㄔ2" - ], - "𦵡": [ - "ㄒㄩㄥ1", - "ㄍㄨㄥ1" - ], - "𦵣": [ - "ㄏㄨㄣ4" - ], - "𦵦": [ - "ㄉㄧ2" - ], - "𦵧": [ - "ㄌㄤ2" - ], - "𦵩": [ - "ㄗㄠ1", - "ㄑㄧㄡ2" - ], - "𦵪": [ - "ㄘㄜ4" - ], - "𦵫": [ - "ㄙㄨㄛ3" - ], - "𦵬": [ - "ㄗㄨ4" - ], - "𦵭": [ - "ㄙㄨㄟ1" - ], - "𦵯": [ - "ㄒㄧㄚ2" - ], - "𦵱": [ - "ㄒㄧㄝ4" - ], - "𦵴": [ - "ㄐㄧㄝ2" - ], - "𦵵": [ - "ㄧㄡ2" - ], - "𦵷": [ - "ㄍㄡ4" - ], - "𦵸": [ - "ㄍㄥ3" - ], - "𦵼": [ - "ㄐㄩㄣ4" - ], - "𦵽": [ - "ㄏㄨㄤ3" - ], - "𦵾": [ - "ㄐㄧ2" - ], - "𦵿": [ - "ㄆㄡ1" - ], - "𦶀": [ - "ㄨ1" - ], - "𦶂": [ - "ㄧ4" - ], - "𦶅": [ - "ㄋㄞ3" - ], - "𦶇": [ - "ㄖㄨㄥ3", - "ㄖㄨㄢ3" - ], - "𦶈": [ - "ㄋㄢ2" - ], - "𦶊": [ - "ㄆㄧㄥ2" - ], - "𦶋": [ - "ㄕㄢ4" - ], - "𦶌": [ - "ㄉㄧㄠ1" - ], - "𦶍": [ - "ㄐㄧ2" - ], - "𦶎": [ - "ㄏㄨㄚ1" - ], - "𦶏": [ - "ㄉㄨㄟ4" - ], - "𦶐": [ - "ㄎㄨㄥ3" - ], - "𦶑": [ - "ㄊㄚ4" - ], - "𦶓": [ - "ㄏㄨㄥ4" - ], - "𦶕": [ - "ㄕㄨ1" - ], - "𦶙": [ - "ㄏㄥ2" - ], - "𦶚": [ - "ㄈㄣ3" - ], - "𦶲": [ - "ㄎㄡ4" - ], - "𦷙": [ - "ㄋㄧㄢ2" - ], - "𦷝": [ - "ㄔㄨ2" - ], - "𦷦": [ - "ㄑㄧㄤ4" - ], - "𦷲": [ - "ㄒㄧ4" - ], - "𦷳": [ - "ㄏㄨ2" - ], - "𦷴": [ - "ㄙㄨㄥ4" - ], - "𦷵": [ - "ㄨㄛ4" - ], - "𦷷": [ - "ㄏㄞ4" - ], - "𦷸": [ - "ㄖㄨ2" - ], - "𦷹": [ - "ㄇㄥ2" - ], - "𦷻": [ - "ㄙㄢ3" - ], - "𦷽": [ - "ㄨ2" - ], - "𦷿": [ - "ㄧㄡ2" - ], - "𦸁": [ - "ㄊㄢ1" - ], - "𦸂": [ - "ㄕㄣ1" - ], - "𦸆": [ - "ㄑㄧ3" - ], - "𦸈": [ - "ㄍㄨㄛ2" - ], - "𦸉": [ - "ㄑㄧㄚ4" - ], - "𦸊": [ - "ㄒㄧㄢ1" - ], - "𦸏": [ - "ㄙㄨㄟ1" - ], - "𦸐": [ - "ㄌㄨ4" - ], - "𦸓": [ - "ㄑㄧ1" - ], - "𦸔": [ - "ㄉㄧㄠ1" - ], - "𦸗": [ - "ㄑㄧ2" - ], - "𦸘": [ - "ㄐㄧㄚ2" - ], - "𦸙": [ - "ㄧㄡ2" - ], - "𦸚": [ - "ㄒㄧ2" - ], - "𦸛": [ - "ㄔㄠ2" - ], - "𦸡": [ - "ㄇㄧ4" - ], - "𦸢": [ - "ㄌㄡ4" - ], - "𦸣": [ - "ㄅㄧ3" - ], - "𦸪": [ - "ㄆㄟ2" - ], - "𦸮": [ - "ㄓㄣ1" - ], - "𦸯": [ - "ㄕㄣ1" - ], - "𦸰": [ - "ㄔㄢ3" - ], - "𦸱": [ - "ㄈㄨ4" - ], - "𦸶": [ - "ㄑㄩ1" - ], - "𦸷": [ - "ㄙ1" - ], - "𦸺": [ - "ㄗㄨㄟ1" - ], - "𦹫": [ - "ㄓㄠ4" - ], - "𦹽": [ - "ㄆㄧ2" - ], - "𦺀": [ - "ㄘㄡ4" - ], - "𦺆": [ - "ㄍㄠ1" - ], - "𦺇": [ - "ㄉㄨ2" - ], - "𦺉": [ - "ㄈㄨ1" - ], - "𦺊": [ - "ㄍㄨㄢ1" - ], - "𦺋": [ - "ㄙㄠ3" - ], - "𦺌": [ - "ㄙㄡ3" - ], - "𦺍": [ - "ㄐㄧㄢ3" - ], - "𦺎": [ - "ㄆㄡ2" - ], - "𦺐": [ - "ㄘㄢ2" - ], - "𦺑": [ - "ㄅㄥ4" - ], - "𦺒": [ - "ㄇㄡ4" - ], - "𦺓": [ - "ㄓㄠ1" - ], - "𦺔": [ - "ㄒㄧㄠ2" - ], - "𦺖": [ - "ㄐㄩ2" - ], - "𦺗": [ - "ㄕㄨ1" - ], - "𦺘": [ - "ㄐㄧㄢ3" - ], - "𦺙": [ - "ㄌㄧ2" - ], - "𦺛": [ - "ㄔㄨㄢ4" - ], - "𦺜": [ - "ㄌㄠ4", - "ㄌㄠ2" - ], - "𦺞": [ - "ㄏㄜ4" - ], - "𦺟": [ - "ㄏㄨ2" - ], - "𦺠": [ - "ㄍㄨ1" - ], - "𦺡": [ - "ㄓㄤ3" - ], - "𦺢": [ - "ㄐㄧㄝ2" - ], - "𦺣": [ - "ㄒㄧㄤ4" - ], - "𦺥": [ - "ㄉㄨ1" - ], - "𦺦": [ - "ㄏㄢ2" - ], - "𦺧": [ - "ㄐㄧㄚ2" - ], - "𦺨": [ - "ㄒㄧㄤ4" - ], - "𦺩": [ - "ㄐㄧ2" - ], - "𦺪": [ - "ㄕㄨ3" - ], - "𦺫": [ - "ㄌㄤ4" - ], - "𦺬": [ - "ㄐㄧ1" - ], - "𦺭": [ - "ㄕㄢ1" - ], - "𦺰": [ - "ㄊㄠ1", - "ㄊㄧㄠ2" - ], - "𦺱": [ - "ㄗ1" - ], - "𦺲": [ - "ㄕㄨㄢ4" - ], - "𦺴": [ - "ㄐㄧ2" - ], - "𦺵": [ - "ㄔㄨ4" - ], - "𦺶": [ - "ㄐㄧ4" - ], - "𦺷": [ - "ㄕㄣ1" - ], - "𦺸": [ - "ㄌㄧㄣ4", - "ㄌㄧㄣ2" - ], - "𦺹": [ - "ㄌㄧㄠ2" - ], - "𦺻": [ - "ㄙㄢ3" - ], - "𦺽": [ - "ㄢ3" - ], - "𦺾": [ - "ㄖㄨㄢ3" - ], - "𦻀": [ - "ㄊㄧ2", - "ㄊㄞ2" - ], - "𦻁": [ - "ㄉㄢ4" - ], - "𦻃": [ - "ㄏㄨㄢ2" - ], - "𦻅": [ - "ㄙㄚ4" - ], - "𦼆": [ - "ㄖㄨㄟ2" - ], - "𦼇": [ - "ㄨ1" - ], - "𦼈": [ - "ㄐㄩ4" - ], - "𦼉": [ - "ㄏㄨㄢ2" - ], - "𦼊": [ - "ㄌㄥ2" - ], - "𦼋": [ - "ㄌㄨ4" - ], - "𦼎": [ - "ㄊㄢ1" - ], - "𦼏": [ - "ㄗㄥ1" - ], - "𦼓": [ - "ㄑㄧㄢ2" - ], - "𦼗": [ - "ㄒㄧ1" - ], - "𦼡": [ - "ㄘ3" - ], - "𦼢": [ - "ㄕㄜ2" - ], - "𦼧": [ - "ㄙㄚ4" - ], - "𦼪": [ - "ㄇㄠ4" - ], - "𦼫": [ - "ㄑㄩ2" - ], - "𦼭": [ - "ㄅㄛ2" - ], - "𦼮": [ - "ㄍㄢ3", - "ㄍㄢ4" - ], - "𦼰": [ - "ㄑㄧㄝ4", - "ㄏㄜ2" - ], - "𦼱": [ - "ㄐㄩㄢ4" - ], - "𦼲": [ - "ㄉㄤ1" - ], - "𦼳": [ - "ㄔㄤ2" - ], - "𦼴": [ - "ㄧㄤ2" - ], - "𦼵": [ - "ㄏㄜ2" - ], - "𦼷": [ - "ㄐㄧ1" - ], - "𦼹": [ - "ㄅㄧㄥ3" - ], - "𦼻": [ - "ㄇㄟ2" - ], - "𦼿": [ - "ㄉㄨㄣ1" - ], - "𦽀": [ - "ㄠ3" - ], - "𦽁": [ - "ㄐㄧㄥ1" - ], - "𦽂": [ - "ㄌㄨ4" - ], - "𦽃": [ - "ㄇㄧㄢ4" - ], - "𦽄": [ - "ㄉㄧㄢ4" - ], - "𦽅": [ - "ㄏㄜ4" - ], - "𦽇": [ - "ㄐㄧㄢ1" - ], - "𦽊": [ - "ㄏㄨㄚ2" - ], - "𦽋": [ - "ㄍㄡ1" - ], - "𦽎": [ - "ㄌㄨ4" - ], - "𦽏": [ - "ㄈㄨ2" - ], - "𦽐": [ - "ㄏㄨㄟ3" - ], - "𦽒": [ - "ㄗㄟ2" - ], - "𦽔": [ - "ㄐㄧㄣ4" - ], - "𦽕": [ - "ㄙ1" - ], - "𦽖": [ - "ㄑㄩㄣ1" - ], - "𦽜": [ - "ㄉㄢ4" - ], - "𦽞": [ - "ㄨㄢ4" - ], - "𦽟": [ - "ㄅㄧㄢ3" - ], - "𦽤": [ - "ㄐㄧㄚ2" - ], - "𦽫": [ - "ㄉㄢ3" - ], - "𦽬": [ - "ㄐㄧㄡ1" - ], - "𦽭": [ - "ㄒㄧㄢ2" - ], - "𦽮": [ - "ㄅㄛ2" - ], - "𦾏": [ - "ㄒㄧㄚ2" - ], - "𦾑": [ - "ㄅㄧㄠ1" - ], - "𦾕": [ - "ㄆㄛ4" - ], - "𦾘": [ - "ㄙㄠ3" - ], - "𦾙": [ - "ㄅㄟ4" - ], - "𦾚": [ - "ㄕㄚ4" - ], - "𦾛": [ - "ㄨㄟ3" - ], - "𦾝": [ - "ㄘㄤ1" - ], - "𦾞": [ - "ㄌㄨ4" - ], - "𦾩": [ - "ㄉㄢ4" - ], - "𦾫": [ - "ㄍㄨ3" - ], - "𦾬": [ - "ㄗㄚ1" - ], - "𦾭": [ - "ㄅㄤ3" - ], - "𦾮": [ - "ㄍㄢ4", - "ㄍㄢ3" - ], - "𦾱": [ - "ㄔㄠ1" - ], - "𦾲": [ - "ㄐㄧ4" - ], - "𦾳": [ - "ㄌㄧㄝ1" - ], - "𦾵": [ - "ㄑㄩㄥ2" - ], - "𦾶": [ - "ㄐㄧㄢ4" - ], - "𦾷": [ - "ㄌㄨ4" - ], - "𦾸": [ - "ㄉㄨㄢ1" - ], - "𦾹": [ - "ㄙㄨㄢ1" - ], - "𦾺": [ - "ㄧㄠ2" - ], - "𦾻": [ - "ㄧㄣ3" - ], - "𦾽": [ - "ㄊㄚ4" - ], - "𦾾": [ - "ㄧㄠ2" - ], - "𦾿": [ - "ㄐㄧㄥ1" - ], - "𦿀": [ - "ㄔㄨ2" - ], - "𦿁": [ - "ㄈㄨ2" - ], - "𦿂": [ - "ㄩㄢ2" - ], - "𦿃": [ - "ㄕㄠ3" - ], - "𦿅": [ - "ㄅㄧㄥ4" - ], - "𦿆": [ - "ㄉㄤ4" - ], - "𦿇": [ - "ㄕ4" - ], - "𦿊": [ - "ㄌㄨ2" - ], - "𦿋": [ - "ㄑㄧㄝ4" - ], - "𦿌": [ - "ㄌㄨㄛ2" - ], - "𦿍": [ - "ㄆㄛ4" - ], - "𦿏": [ - "ㄇㄥ2", - "ㄇㄥ4" - ], - "𦿐": [ - "ㄐㄧㄝ2" - ], - "𦿓": [ - "ㄐㄧ1" - ], - "𦿖": [ - "ㄌㄨ4" - ], - "𧀄": [ - "ㄔㄤ4" - ], - "𧀅": [ - "ㄇㄧㄝ4", - "ㄇㄛ4" - ], - "𧀆": [ - "ㄇㄥ2" - ], - "𧀇": [ - "ㄐㄧㄢ3" - ], - "𧀊": [ - "ㄘㄞ3" - ], - "𧀌": [ - "ㄙㄨ4" - ], - "𧀔": [ - "ㄏㄜ4" - ], - "𧀕": [ - "ㄙㄚ4" - ], - "𧀗": [ - "ㄗ1" - ], - "𧀘": [ - "ㄎㄥ1" - ], - "𧀙": [ - "ㄍㄥ3" - ], - "𧀚": [ - "ㄙ1" - ], - "𧀠": [ - "ㄊㄧ2" - ], - "𧀡": [ - "ㄓㄢ4" - ], - "𧀢": [ - "ㄒㄧㄝ4" - ], - "𧀣": [ - "ㄕㄨㄟ2" - ], - "𧀤": [ - "ㄔ3" - ], - "𧀥": [ - "ㄧㄡ1" - ], - "𧀦": [ - "ㄌㄨ3" - ], - "𧀧": [ - "ㄇㄥ4" - ], - "𧀨": [ - "ㄌㄧㄝ4" - ], - "𧀩": [ - "ㄙ4" - ], - "𧀬": [ - "ㄒㄧ1" - ], - "𧀭": [ - "ㄈㄢ2" - ], - "𧀮": [ - "ㄈㄨ1" - ], - "𧀯": [ - "ㄕㄣ3" - ], - "𧀰": [ - "ㄊㄧ2" - ], - "𧀱": [ - "ㄔㄞ4" - ], - "𧀲": [ - "ㄩㄝ4" - ], - "𧀴": [ - "ㄈㄨ1" - ], - "𧀵": [ - "ㄐㄧㄢ4", - "ㄕㄢ3" - ], - "𧀶": [ - "ㄉㄧ4" - ], - "𧀹": [ - "ㄓㄜ4" - ], - "𧀺": [ - "ㄒㄧㄝ2" - ], - "𧀻": [ - "ㄉㄢ1" - ], - "𧀿": [ - "ㄓ2" - ], - "𧁃": [ - "ㄒㄩ4" - ], - "𧁈": [ - "ㄋㄧㄝ4" - ], - "𧁉": [ - "ㄈㄢ4" - ], - "𧁊": [ - "ㄇㄥ2" - ], - "𧁋": [ - "ㄇㄧㄣ3" - ], - "𧁾": [ - "ㄌㄡ2" - ], - "𧁿": [ - "ㄉㄨ2", - "ㄕㄨ3" - ], - "𧂁": [ - "ㄓㄢ4" - ], - "𧂂": [ - "ㄐㄧㄢ4" - ], - "𧂃": [ - "ㄏㄢ4" - ], - "𧂄": [ - "ㄉㄢ4" - ], - "𧂅": [ - "ㄙㄣ1" - ], - "𧂆": [ - "ㄐㄧㄢ4" - ], - "𧂇": [ - "ㄊㄢ2", - "ㄒㄩㄣ2" - ], - "𧂈": [ - "ㄐㄧㄠ3" - ], - "𧂉": [ - "ㄆㄛ2" - ], - "𧂋": [ - "ㄆㄧㄥ2" - ], - "𧂍": [ - "ㄓㄨㄢ4", - "ㄙㄨㄣ1" - ], - "𧂏": [ - "ㄌㄧㄠ2" - ], - "𧂐": [ - "ㄗ4" - ], - "𧂒": [ - "ㄓㄨㄛ2" - ], - "𧂔": [ - "ㄏㄨ4" - ], - "𧂙": [ - "ㄒㄧ4" - ], - "𧂛": [ - "ㄇㄥ2" - ], - "𧂜": [ - "ㄐㄩ4" - ], - "𧂝": [ - "ㄇㄧㄝ4" - ], - "𧂞": [ - "ㄒㄧㄢ2" - ], - "𧂠": [ - "ㄎㄨㄟ4" - ], - "𧂡": [ - "ㄇㄥ2" - ], - "𧂢": [ - "ㄐㄧㄢ1" - ], - "𧂦": [ - "ㄋㄡ2" - ], - "𧂨": [ - "ㄉㄧ4" - ], - "𧂩": [ - "ㄙㄠ1" - ], - "𧃏": [ - "ㄔㄨ4" - ], - "𧃐": [ - "ㄓ2" - ], - "𧃑": [ - "ㄑㄧㄢ2" - ], - "𧃒": [ - "ㄌㄩ3" - ], - "𧃔": [ - "ㄓㄨㄛ2" - ], - "𧃘": [ - "ㄗㄨㄛ4" - ], - "𧃙": [ - "ㄏㄢ2" - ], - "𧃚": [ - "ㄙㄨㄟ3" - ], - "𧃛": [ - "ㄍㄡ4" - ], - "𧃝": [ - "ㄔㄡ3" - ], - "𧃞": [ - "ㄐㄧ4" - ], - "𧃟": [ - "ㄧ4" - ], - "𧃠": [ - "ㄩ2" - ], - "𧃨": [ - "ㄋㄡ2" - ], - "𧃩": [ - "ㄋㄧ3" - ], - "𧃪": [ - "ㄖㄨㄛ4" - ], - "𧃮": [ - "ㄌㄧㄣ2" - ], - "𧃱": [ - "ㄋㄧㄥ2" - ], - "𧄍": [ - "ㄑㄧㄠ2" - ], - "𧄎": [ - "ㄧㄠ2" - ], - "𧄏": [ - "ㄈㄨ4" - ], - "𧄐": [ - "ㄕㄨㄤ1" - ], - "𧄑": [ - "ㄎㄨㄟ4" - ], - "𧄒": [ - "ㄑㄩ2" - ], - "𧄓": [ - "ㄉㄨㄥ3" - ], - "𧄔": [ - "ㄕㄨ3" - ], - "𧄚": [ - "ㄌㄧ2" - ], - "𧄛": [ - "ㄐㄩ2" - ], - "𧄜": [ - "ㄖㄨㄟ3" - ], - "𧄠": [ - "ㄓㄚ2" - ], - "𧄤": [ - "ㄒㄧㄠ1" - ], - "𧄸": [ - "ㄇㄣ2", - "ㄨㄟ3" - ], - "𧄹": [ - "ㄕ2" - ], - "𧄺": [ - "ㄉㄧㄢ1" - ], - "𧄻": [ - "ㄌㄧ4" - ], - "𧄼": [ - "ㄉㄥ4", - "ㄊㄥ2" - ], - "𧄽": [ - "ㄗㄢ4", - "ㄗㄚ1" - ], - "𧄿": [ - "ㄌㄨㄛ2" - ], - "𧅀": [ - "ㄘㄢ2" - ], - "𧅃": [ - "ㄠ1" - ], - "𧅆": [ - "ㄐㄧㄢ3" - ], - "𧅈": [ - "ㄉㄧㄠ4" - ], - "𧅋": [ - "ㄧㄥ2" - ], - "𧅖": [ - "ㄧ4" - ], - "𧅗": [ - "ㄉㄤ3" - ], - "𧅘": [ - "ㄋㄡ2" - ], - "𧅚": [ - "ㄩㄝ4" - ], - "𧅮": [ - "ㄌㄧ3" - ], - "𧅯": [ - "ㄌㄧ2" - ], - "𧅰": [ - "ㄏㄨ4" - ], - "𧅲": [ - "ㄧㄡ4" - ], - "𧅺": [ - "ㄋㄤ4" - ], - "𧆂": [ - "ㄔㄣ4" - ], - "𧆉": [ - "ㄈㄥ1" - ], - "𧆊": [ - "ㄅㄧㄝ1" - ], - "𧆏": [ - "ㄇㄢ3" - ], - "𧆐": [ - "ㄍㄢ4" - ], - "𧆑": [ - "ㄏㄨㄛ4", - "ㄙㄨㄟ3" - ], - "𧆓": [ - "ㄘㄨ1" - ], - "𧆕": [ - "ㄧㄡ3" - ], - "𧆘": [ - "ㄧㄡ4" - ], - "𧆜": [ - "ㄒㄩ1" - ], - "𧆡": [ - "ㄒㄩ4" - ], - "𧆢": [ - "ㄏㄨ3" - ], - "𧆣": [ - "ㄌㄨ2" - ], - "𧆥": [ - "ㄒㄧㄚ2" - ], - "𧆦": [ - "ㄧ4" - ], - "𧆮": [ - "ㄏㄨ3" - ], - "𧆯": [ - "ㄏㄨ4" - ], - "𧆰": [ - "ㄗ3" - ], - "𧆷": [ - "ㄍㄨㄥ1" - ], - "𧆸": [ - "ㄊㄨㄟ1" - ], - "𧆹": [ - "ㄨ1" - ], - "𧆺": [ - "ㄌㄧㄥ2" - ], - "𧆻": [ - "ㄍㄨ1" - ], - "𧆼": [ - "ㄓㄨㄥ1", - "ㄉㄨㄥ1" - ], - "𧇄": [ - "ㄌㄨ2" - ], - "𧇈": [ - "ㄗㄨ4" - ], - "𧇌": [ - "ㄊㄨㄥ2" - ], - "𧇍": [ - "ㄒㄧㄚ1" - ], - "𧇎": [ - "ㄏㄜ2" - ], - "𧇓": [ - "ㄩㄝ4" - ], - "𧇙": [ - "ㄋㄢ2" - ], - "𧇚": [ - "ㄅㄛ2" - ], - "𧇛": [ - "ㄏㄨ1" - ], - "𧇜": [ - "ㄑㄧ4" - ], - "𧇝": [ - "ㄕㄨ2" - ], - "𧇞": [ - "ㄑㄧㄤ1" - ], - "𧇟": [ - "ㄓㄡ1" - ], - "𧇠": [ - "ㄧㄠ4" - ], - "𧇡": [ - "ㄍㄨ1" - ], - "𧇥": [ - "ㄅㄢ1" - ], - "𧇦": [ - "ㄎㄢ3" - ], - "𧇮": [ - "ㄏㄜ2" - ], - "𧇯": [ - "ㄐㄧ4" - ], - "𧇰": [ - "ㄏㄨ2" - ], - "𧇱": [ - "ㄧㄢ2" - ], - "𧇶": [ - "ㄔㄨㄣ1" - ], - "𧇷": [ - "ㄉㄧㄥ3" - ], - "𧇸": [ - "ㄑㄧㄡ1" - ], - "𧇹": [ - "ㄏㄡ2" - ], - "𧇼": [ - "ㄏㄠ4" - ], - "𧇿": [ - "ㄗㄨ4" - ], - "𧈁": [ - "ㄒㄧㄢ2" - ], - "𧈄": [ - "ㄒㄧㄚ4" - ], - "𧈅": [ - "ㄒㄧ4" - ], - "𧈈": [ - "ㄙㄜ4", - "ㄒㄧ4" - ], - "𧈌": [ - "ㄍㄜ2" - ], - "𧈍": [ - "ㄒㄧ4" - ], - "𧈑": [ - "ㄍㄜ2" - ], - "𧈔": [ - "ㄌㄩ3" - ], - "𧈖": [ - "ㄍㄜ2" - ], - "𧈗": [ - "ㄎㄜ4" - ], - "𧈙": [ - "ㄕㄡ4" - ], - "𧈚": [ - "ㄓㄨ4" - ], - "𧈜": [ - "ㄊㄥ2" - ], - "𧈝": [ - "ㄧㄚ4" - ], - "𧈞": [ - "ㄋㄧ4" - ], - "𧈦": [ - "ㄌㄨㄛ4" - ], - "𧈧": [ - "ㄙㄨㄟ1", - "ㄇㄥ2" - ], - "𧈪": [ - "ㄔㄢ3" - ], - "𧈭": [ - "ㄨ4" - ], - "𧈯": [ - "ㄩ1" - ], - "𧈹": [ - "ㄗㄠ3" - ], - "𧈻": [ - "ㄧ4" - ], - "𧈼": [ - "ㄒㄧ1", - "ㄐㄧ2" - ], - "𧈽": [ - "ㄏㄨㄥ2" - ], - "𧈾": [ - "ㄑㄩㄢ2" - ], - "𧈿": [ - "ㄨㄤ3" - ], - "𧉀": [ - "ㄔ3" - ], - "𧉁": [ - "ㄒㄧ4" - ], - "𧉂": [ - "ㄊㄧㄢ3" - ], - "𧉃": [ - "ㄩㄣ3" - ], - "𧉅": [ - "ㄧ1" - ], - "𧉆": [ - "ㄐㄧ2" - ], - "𧉇": [ - "ㄏㄨㄟ1" - ], - "𧉈": [ - "ㄈㄡ2", - "ㄈㄨ2" - ], - "𧉊": [ - "ㄈㄨ3" - ], - "𧉍": [ - "ㄐㄧ2" - ], - "𧉎": [ - "ㄒㄩㄢ2" - ], - "𧉑": [ - "ㄊㄞ4" - ], - "𧉓": [ - "ㄉㄨ4" - ], - "𧉗": [ - "ㄩㄢ2" - ], - "𧉛": [ - "ㄉㄧ4" - ], - "𧉞": [ - "ㄓㄨ3" - ], - "𧉟": [ - "ㄊㄞ1" - ], - "𧉡": [ - "ㄖㄨㄥ3" - ], - "𧉢": [ - "ㄒㄩㄝ2" - ], - "𧉣": [ - "ㄩ4" - ], - "𧉤": [ - "ㄈㄢ4" - ], - "𧉥": [ - "ㄅㄟ3" - ], - "𧉧": [ - "ㄑㄩ3", - "ㄐㄧㄝ2" - ], - "𧉩": [ - "ㄅㄨ4" - ], - "𧉪": [ - "ㄐㄧㄚ1" - ], - "𧉫": [ - "ㄓㄚ2" - ], - "𧉭": [ - "ㄋㄨ3" - ], - "𧉮": [ - "ㄕㄜ2", - "ㄧㄢ2", - "ㄧ2" - ], - "𧉲": [ - "ㄌㄧ4" - ], - "𧊄": [ - "ㄍㄨㄟ3" - ], - "𧊅": [ - "ㄍㄨㄞ3" - ], - "𧊇": [ - "ㄉㄞ4", - "ㄉㄜ2" - ], - "𧊏": [ - "ㄍㄞ1" - ], - "𧊒": [ - "ㄘ4" - ], - "𧊔": [ - "ㄧㄢ3" - ], - "𧊕": [ - "ㄙㄨㄥ1" - ], - "𧊖": [ - "ㄕ4" - ], - "𧊘": [ - "ㄎㄨ4" - ], - "𧊙": [ - "ㄓ3" - ], - "𧊚": [ - "ㄊㄨㄥ2" - ], - "𧊛": [ - "ㄑㄩ2" - ], - "𧊜": [ - "ㄜ4" - ], - "𧊞": [ - "ㄒㄧㄥ2" - ], - "𧊟": [ - "ㄖㄨ2" - ], - "𧊠": [ - "ㄩ2", - "ㄕㄨ1" - ], - "𧊣": [ - "ㄧ4" - ], - "𧊤": [ - "ㄧ4" - ], - "𧊥": [ - "ㄒㄩ4" - ], - "𧊦": [ - "ㄈㄡ3" - ], - "𧊧": [ - "ㄍㄜ2", - "ㄜ4" - ], - "𧊬": [ - "ㄏㄜ2" - ], - "𧊭": [ - "ㄧㄣ1" - ], - "𧊯": [ - "ㄏㄨㄥ4" - ], - "𧊱": [ - "ㄉㄨㄛ3" - ], - "𧊽": [ - "ㄒㄧㄥ2" - ], - "𧊾": [ - "ㄈㄢ2" - ], - "𧋉": [ - "ㄑㄧ1" - ], - "𧋊": [ - "ㄕㄚ1", - "ㄕㄨㄛ1" - ], - "𧋌": [ - "ㄉㄨ4" - ], - "𧋍": [ - "ㄉㄧ4", - "ㄒㄩㄝ2" - ], - "𧋎": [ - "ㄌㄧ2" - ], - "𧋏": [ - "ㄧ4" - ], - "𧋐": [ - "ㄒㄧ2" - ], - "𧋑": [ - "ㄍㄥ3" - ], - "𧋒": [ - "ㄊㄨㄥ2", - "ㄕ4" - ], - "𧋓": [ - "ㄎㄠ4" - ], - "𧋔": [ - "ㄏㄨㄥ4" - ], - "𧋕": [ - "ㄎㄨㄣ4" - ], - "𧋖": [ - "ㄋㄧㄝ4" - ], - "𧋗": [ - "ㄔ2" - ], - "𧋘": [ - "ㄊㄧ2" - ], - "𧋚": [ - "ㄊㄨㄥ2" - ], - "𧋠": [ - "ㄌㄧ2", - "ㄌㄧ3" - ], - "𧋡": [ - "ㄋㄚ4" - ], - "𧋱": [ - "ㄓㄢ1" - ], - "𧋲": [ - "ㄅㄟ3" - ], - "𧌁": [ - "ㄊㄧㄠ2" - ], - "𧌃": [ - "ㄗㄚ1" - ], - "𧌄": [ - "ㄜ4", - "ㄧㄝ4" - ], - "𧌅": [ - "ㄕㄡ4" - ], - "𧌆": [ - "ㄎㄨㄥ1" - ], - "𧌇": [ - "ㄆㄥ2" - ], - "𧌈": [ - "ㄈㄨ4" - ], - "𧌉": [ - "ㄌㄨ4" - ], - "𧌊": [ - "ㄒㄧㄝ4" - ], - "𧌋": [ - "ㄒㄧㄝ4" - ], - "𧌌": [ - "ㄒㄧㄡ1" - ], - "𧌍": [ - "ㄌㄨ4" - ], - "𧌎": [ - "ㄊㄧㄢ3" - ], - "𧌏": [ - "ㄊㄚ4" - ], - "𧌐": [ - "ㄘ4" - ], - "𧌑": [ - "ㄑㄩ1" - ], - "𧌓": [ - "ㄈㄨ4" - ], - "𧌔": [ - "ㄓ1" - ], - "𧌖": [ - "ㄒㄧㄝ4", - "ㄕㄜ4" - ], - "𧌗": [ - "ㄗㄡ3" - ], - "𧌘": [ - "ㄈㄟ4" - ], - "𧌙": [ - "ㄇㄧㄣ2" - ], - "𧌚": [ - "ㄒㄧㄥ1" - ], - "𧌝": [ - "ㄊㄨㄥ2" - ], - "𧌞": [ - "ㄑㄧ2" - ], - "𧌠": [ - "ㄆㄧㄠ1" - ], - "𧌢": [ - "ㄙㄨㄟ4" - ], - "𧌣": [ - "ㄦ3" - ], - "𧌧": [ - "ㄏㄨ3" - ], - "𧌻": [ - "ㄙㄨㄥ1" - ], - "𧌽": [ - "ㄅㄧㄝ1" - ], - "𧌾": [ - "ㄉㄧㄥ1" - ], - "𧌿": [ - "ㄅㄢ3" - ], - "𧍀": [ - "ㄕ1", - "ㄌㄧ3" - ], - "𧍁": [ - "ㄒㄧㄝ4" - ], - "𧍂": [ - "ㄒㄧㄠ2" - ], - "𧍃": [ - "ㄈㄟ3" - ], - "𧍒": [ - "ㄔㄨㄢ3", - "ㄔㄨㄞ3" - ], - "𧍓": [ - "ㄕㄨㄞ4" - ], - "𧍔": [ - "ㄧㄠ1" - ], - "𧍕": [ - "ㄐㄩㄝ2" - ], - "𧍖": [ - "ㄕㄥ3", - "ㄋㄧㄥ4" - ], - "𧍘": [ - "ㄧㄡ1" - ], - "𧍙": [ - "ㄈㄢ4" - ], - "𧍜": [ - "ㄎㄨㄟ2" - ], - "𧍝": [ - "ㄉㄧ4" - ], - "𧍟": [ - "ㄇㄠ2" - ], - "𧍠": [ - "ㄐㄧㄝ2" - ], - "𧍢": [ - "ㄧㄢ2", - "ㄧㄣ3" - ], - "𧍥": [ - "ㄨㄟ1" - ], - "𧍨": [ - "ㄙㄤ1" - ], - "𧍩": [ - "ㄐㄧㄝ2" - ], - "𧍪": [ - "ㄩ2" - ], - "𧍫": [ - "ㄨㄟ4" - ], - "𧍬": [ - "ㄜ4" - ], - "𧍭": [ - "ㄑㄩㄢ2" - ], - "𧍮": [ - "ㄐㄩㄥ3" - ], - "𧍯": [ - "ㄈㄥ2" - ], - "𧍰": [ - "ㄌㄨㄥ2" - ], - "𧍱": [ - "ㄉㄧㄝ2" - ], - "𧍲": [ - "ㄆㄧㄢ2" - ], - "𧍴": [ - "ㄌㄧㄢ4" - ], - "𧍵": [ - "ㄏㄨ2" - ], - "𧍶": [ - "ㄌㄩ4" - ], - "𧍿": [ - "ㄉㄧㄢ4" - ], - "𧎃": [ - "ㄘㄨㄟ4" - ], - "𧎄": [ - "ㄇㄡ2", - "ㄨ4" - ], - "𧎕": [ - "ㄨㄤ2" - ], - "𧎖": [ - "ㄐㄩㄢ1" - ], - "𧎗": [ - "ㄎㄜ1" - ], - "𧎘": [ - "ㄧㄢ2" - ], - "𧎙": [ - "ㄐㄧㄠ3" - ], - "𧎡": [ - "ㄍㄨㄥ1" - ], - "𧎣": [ - "ㄖㄨㄥ2" - ], - "𧎤": [ - "ㄙㄨㄣ1" - ], - "𧎥": [ - "ㄕㄢ4" - ], - "𧎨": [ - "ㄔ2" - ], - "𧎪": [ - "ㄑㄧ2" - ], - "𧎫": [ - "ㄙㄨㄛ3" - ], - "𧎭": [ - "ㄧㄝ4" - ], - "𧎮": [ - "ㄗㄠ3" - ], - "𧎯": [ - "ㄑㄩㄝ1" - ], - "𧎰": [ - "ㄓㄢ3" - ], - "𧎱": [ - "ㄅㄚ1" - ], - "𧎲": [ - "ㄗㄨ2" - ], - "𧎳": [ - "ㄙㄨㄛ3" - ], - "𧎴": [ - "ㄓㄜ2" - ], - "𧎵": [ - "ㄒㄧ4" - ], - "𧎷": [ - "ㄔㄨ3" - ], - "𧎸": [ - "ㄐㄧㄠ3" - ], - "𧎹": [ - "ㄗㄨㄟ4" - ], - "𧎺": [ - "ㄍㄜ1" - ], - "𧎻": [ - "ㄨ4", - "ㄇㄡ2" - ], - "𧎾": [ - "ㄌㄩㄝ4" - ], - "𧎿": [ - "ㄐㄧ2" - ], - "𧏂": [ - "ㄒㄧㄝ2" - ], - "𧏃": [ - "ㄒㄧㄝ2" - ], - "𧏆": [ - "ㄉㄡ3" - ], - "𧏋": [ - "ㄑㄧㄡ1" - ], - "𧏑": [ - "ㄆㄧㄥ2" - ], - "𧏓": [ - "ㄌㄧㄡ2" - ], - "𧏥": [ - "ㄐㄧㄝ2" - ], - "𧏧": [ - "ㄏㄨㄟ4" - ], - "𧏫": [ - "ㄕㄚ4" - ], - "𧏸": [ - "ㄓ2" - ], - "𧏹": [ - "ㄞ4" - ], - "𧏺": [ - "ㄒㄩ4", - "ㄡ4" - ], - "𧏻": [ - "ㄅㄧ4" - ], - "𧏽": [ - "ㄧㄝ1" - ], - "𧏾": [ - "ㄋㄧ4" - ], - "𧏿": [ - "ㄓㄨ2" - ], - "𧐁": [ - "ㄙㄨ4" - ], - "𧐃": [ - "ㄒㄧㄝ2" - ], - "𧐄": [ - "ㄩ4", - "ㄩ2" - ], - "𧐅": [ - "ㄑㄩ1" - ], - "𧐈": [ - "ㄗㄨ2" - ], - "𧐉": [ - "ㄓ1" - ], - "𧐊": [ - "ㄓㄤ1" - ], - "𧐋": [ - "ㄌㄩㄝ4" - ], - "𧐌": [ - "ㄨㄟ3" - ], - "𧐍": [ - "ㄔㄨㄥ1" - ], - "𧐎": [ - "ㄇㄧ4" - ], - "𧐐": [ - "ㄐㄧ1" - ], - "𧐒": [ - "ㄙㄨ4" - ], - "𧐓": [ - "ㄧㄝ3" - ], - "𧐔": [ - "ㄒㄧ2", - "ㄧ4" - ], - "𧐕": [ - "ㄊㄨㄢ2" - ], - "𧐖": [ - "ㄌㄧㄢ2", - "ㄌㄧㄢ4" - ], - "𧐗": [ - "ㄒㄩㄢ2" - ], - "𧐙": [ - "ㄨ4" - ], - "𧐟": [ - "ㄇㄠ2" - ], - "𧐬": [ - "ㄏㄨㄥ2" - ], - "𧐯": [ - "ㄌㄩㄝ4" - ], - "𧐰": [ - "ㄉㄨ2" - ], - "𧐱": [ - "ㄘㄨㄥ2" - ], - "𧐲": [ - "ㄔㄢ2" - ], - "𧐳": [ - "ㄌㄨ4" - ], - "𧐴": [ - "ㄙㄨ4" - ], - "𧑀": [ - "ㄌㄩㄝ4" - ], - "𧑆": [ - "ㄓㄨㄥ1" - ], - "𧑇": [ - "ㄌㄧ2" - ], - "𧑈": [ - "ㄈㄟ4" - ], - "𧑊": [ - "ㄐㄧㄥ3" - ], - "𧑋": [ - "ㄎㄨㄟ4" - ], - "𧑌": [ - "ㄧ4" - ], - "𧑍": [ - "ㄏㄨㄚ2" - ], - "𧑎": [ - "ㄘㄨㄟ4" - ], - "𧑐": [ - "ㄩ4" - ], - "𧑑": [ - "ㄅㄥ3" - ], - "𧑒": [ - "ㄊㄨㄣ1" - ], - "𧑓": [ - "ㄕㄨ3" - ], - "𧑔": [ - "ㄉㄞ4" - ], - "𧑕": [ - "ㄨ1" - ], - "𧑖": [ - "ㄘ4" - ], - "𧑗": [ - "ㄋㄧㄥ4" - ], - "𧑘": [ - "ㄉㄤ4" - ], - "𧑙": [ - "ㄗㄨ2" - ], - "𧑚": [ - "ㄏㄢ2" - ], - "𧑜": [ - "ㄆㄧ2" - ], - "𧑝": [ - "ㄔㄨㄢ4" - ], - "𧑠": [ - "ㄉㄨ4" - ], - "𧑡": [ - "ㄆㄚ2" - ], - "𧑤": [ - "ㄓㄨ1" - ], - "𧑦": [ - "ㄒㄧㄝ2" - ], - "𧑧": [ - "ㄓㄜ2" - ], - "𧑨": [ - "ㄑㄧㄝ4" - ], - "𧑩": [ - "ㄒㄩㄢ1" - ], - "𧑫": [ - "ㄙㄠ4" - ], - "𧒀": [ - "ㄅㄧ4" - ], - "𧒂": [ - "ㄈㄨ4" - ], - "𧒈": [ - "ㄌㄧ4" - ], - "𧒎": [ - "ㄜ2" - ], - "𧒐": [ - "ㄧㄝ1" - ], - "𧒑": [ - "ㄕㄨ3" - ], - "𧒓": [ - "ㄙㄜ4" - ], - "𧒕": [ - "ㄑㄧ1" - ], - "𧒖": [ - "ㄍㄨㄛ4" - ], - "𧒗": [ - "ㄙㄜ4" - ], - "𧒙": [ - "ㄈㄨ4" - ], - "𧒚": [ - "ㄇㄠ2" - ], - "𧒜": [ - "ㄌㄟ2" - ], - "𧒝": [ - "ㄓㄢ1" - ], - "𧒨": [ - "ㄔㄞ4" - ], - "𧒭": [ - "ㄨㄟ4" - ], - "𧒽": [ - "ㄌㄟ2" - ], - "𧒿": [ - "ㄗㄟ2" - ], - "𧓀": [ - "ㄧㄥ1" - ], - "𧓁": [ - "ㄞ4" - ], - "𧓂": [ - "ㄒㄧㄝ1" - ], - "𧓄": [ - "ㄅㄧ4" - ], - "𧓋": [ - "ㄔㄢ2" - ], - "𧓎": [ - "ㄆㄧ2", - "ㄅㄧ1" - ], - "𧓏": [ - "ㄘㄨㄥ2" - ], - "𧓐": [ - "ㄌㄧㄝ4" - ], - "𧓑": [ - "ㄑㄧ2" - ], - "𧓓": [ - "ㄐㄧ4" - ], - "𧓔": [ - "ㄐㄧㄥ1" - ], - "𧓕": [ - "ㄉㄨㄥ1" - ], - "𧓖": [ - "ㄈㄟ2" - ], - "𧓗": [ - "ㄧ2" - ], - "𧓘": [ - "ㄊㄨㄢ2" - ], - "𧓨": [ - "ㄇㄥ3" - ], - "𧓩": [ - "ㄘㄢ2" - ], - "𧓪": [ - "ㄧㄚ2" - ], - "𧓲": [ - "ㄧㄤ3" - ], - "𧓴": [ - "ㄊㄧㄥ2" - ], - "𧓸": [ - "ㄓ2" - ], - "𧓺": [ - "ㄒㄧㄝ4" - ], - "𧓻": [ - "ㄌㄩ4" - ], - "𧓽": [ - "ㄌㄧ4", - "ㄔㄞ4" - ], - "𧓿": [ - "ㄇㄠ2" - ], - "𧔂": [ - "ㄒㄧㄚ2" - ], - "𧔅": [ - "ㄙㄡ4" - ], - "𧔖": [ - "ㄙㄨ1" - ], - "𧔗": [ - "ㄒㄩㄝ4" - ], - "𧔝": [ - "ㄌㄧ4" - ], - "𧔞": [ - "ㄩㄢ2" - ], - "𧔡": [ - "ㄓㄢ3" - ], - "𧔣": [ - "ㄊㄚ4" - ], - "𧔤": [ - "ㄒㄩㄢ2" - ], - "𧔥": [ - "ㄨㄟ4" - ], - "𧔦": [ - "ㄧㄝ4" - ], - "𧔧": [ - "ㄆㄤ2" - ], - "𧔨": [ - "ㄇㄠ2" - ], - "𧔩": [ - "ㄊㄧ2" - ], - "𧔪": [ - "ㄆㄧㄣ2" - ], - "𧔬": [ - "ㄉㄨ4" - ], - "𧔭": [ - "ㄑㄧㄡ2" - ], - "𧔮": [ - "ㄧ3" - ], - "𧔳": [ - "ㄊㄨㄛ2" - ], - "𧔴": [ - "ㄔㄞ4" - ], - "𧔷": [ - "ㄐㄧㄣ4" - ], - "𧔼": [ - "ㄜ2" - ], - "𧕃": [ - "ㄔㄢ2" - ], - "𧕄": [ - "ㄧㄥ1" - ], - "𧕅": [ - "ㄌㄧㄥ2" - ], - "𧕇": [ - "ㄒㄧㄢ3" - ], - "𧕉": [ - "ㄑㄧ1" - ], - "𧕋": [ - "ㄩㄝ4" - ], - "𧕌": [ - "ㄌㄩㄝ4" - ], - "𧕍": [ - "ㄧㄥ2" - ], - "𧕎": [ - "ㄑㄩ2" - ], - "𧕒": [ - "ㄈㄟ3" - ], - "𧕓": [ - "ㄗ1" - ], - "𧕙": [ - "ㄑㄧㄥ1" - ], - "𧕝": [ - "ㄋㄧㄥ2" - ], - "𧕞": [ - "ㄨㄟ4" - ], - "𧕟": [ - "ㄕㄨㄤ1" - ], - "𧕡": [ - "ㄈㄨ4" - ], - "𧕤": [ - "ㄇㄛ4" - ], - "𧕥": [ - "ㄇㄛ4" - ], - "𧕦": [ - "ㄊㄨㄛ2" - ], - "𧕧": [ - "ㄔㄞ4" - ], - "𧕨": [ - "ㄗㄤ4" - ], - "𧕮": [ - "ㄌㄧ2" - ], - "𧕯": [ - "ㄌㄧ2", - "ㄕ1" - ], - "𧕱": [ - "ㄒㄧㄚ2" - ], - "𧕲": [ - "ㄐㄩㄢ3" - ], - "𧕴": [ - "ㄋㄢ2" - ], - "𧕵": [ - "ㄇㄧ4" - ], - "𧕸": [ - "ㄏㄨㄤ2" - ], - "𧕺": [ - "ㄕㄨㄤ1" - ], - "𧕼": [ - "ㄒㄩ3" - ], - "𧕿": [ - "ㄈㄟ3" - ], - "𧖁": [ - "ㄒㄧㄝ4", - "ㄨㄣ2" - ], - "𧖆": [ - "ㄊㄚ4" - ], - "𧖇": [ - "ㄩㄥ3" - ], - "𧖉": [ - "ㄓㄢ3" - ], - "𧖑": [ - "ㄑㄧㄤ2" - ], - "𧖒": [ - "ㄋㄤ2" - ], - "𧖔": [ - "ㄌㄧㄣ4" - ], - "𧖘": [ - "ㄌㄨㄢ2" - ], - "𧖙": [ - "ㄒㄧㄢ3" - ], - "𧖚": [ - "ㄈㄨ2" - ], - "𧖜": [ - "ㄌㄧㄥ2" - ], - "𧖠": [ - "ㄙㄠ1" - ], - "𧖢": [ - "ㄏㄨㄟ4" - ], - "𧖨": [ - "ㄊㄧㄥ2" - ], - "𧖪": [ - "ㄑㄧㄥ2" - ], - "𧖬": [ - "ㄏㄨㄤ1" - ], - "𧖮": [ - "ㄢ4" - ], - "𧖵": [ - "ㄇㄢ3" - ], - "𧖷": [ - "ㄋㄧ4", - "ㄋㄩ4" - ], - "𧖻": [ - "ㄍㄨㄛ2" - ], - "𧖼": [ - "ㄡ3" - ], - "𧖿": [ - "ㄒㄧㄤ4" - ], - "𧗁": [ - "ㄐㄧㄣ1" - ], - "𧗆": [ - "ㄓㄥ1" - ], - "𧗈": [ - "ㄋㄨ2" - ], - "𧗋": [ - "ㄙㄢ4" - ], - "𧗌": [ - "ㄏㄨ4" - ], - "𧗎": [ - "ㄗㄨ2" - ], - "𧗏": [ - "ㄏㄨㄟ3" - ], - "𧗒": [ - "ㄐㄧ1" - ], - "𧗖": [ - "ㄧㄝ4" - ], - "𧗦": [ - "ㄒㄧㄥ2" - ], - "𧗩": [ - "ㄌㄚ4" - ], - "𧗪": [ - "ㄩ4", - "ㄑㄩ2" - ], - "𧗫": [ - "ㄐㄩㄝ2" - ], - "𧗱": [ - "ㄕㄨ4", - "ㄩ4" - ], - "𧗲": [ - "ㄓㄥ1" - ], - "𧗴": [ - "ㄩㄥ3" - ], - "𧗶": [ - "ㄍㄜ1" - ], - "𧗸": [ - "ㄐㄧㄢ4" - ], - "𧗹": [ - "ㄒㄧㄣ4", - "ㄒㄧㄢ1" - ], - "𧗼": [ - "ㄏㄨㄟ1" - ], - "𧗿": [ - "ㄕㄨㄞ4" - ], - "𧘂": [ - "ㄔㄨㄥ1" - ], - "𧘃": [ - "ㄏㄤ2" - ], - "𧘈": [ - "ㄌㄧㄠ3" - ], - "𧘍": [ - "ㄐㄧㄤ1" - ], - "𧘏": [ - "ㄍㄨㄥ1" - ], - "𧘑": [ - "ㄓㄨㄛ2", - "ㄅㄠ4" - ], - "𧘗": [ - "ㄑㄧ3" - ], - "𧘜": [ - "ㄑㄧㄢ1" - ], - "𧘞": [ - "ㄉㄡ3" - ], - "𧘟": [ - "ㄆㄛ1", - "ㄅㄛ1" - ], - "𧘢": [ - "ㄏㄨ4" - ], - "𧘥": [ - "ㄋㄧㄡ3" - ], - "𧘧": [ - "ㄑㄧ4" - ], - "𧘨": [ - "ㄉㄧㄠ1" - ], - "𧘩": [ - "ㄉㄧㄠ1" - ], - "𧘫": [ - "ㄌㄧ4" - ], - "𧘮": [ - "ㄒㄩㄥ1" - ], - "𧘽": [ - "ㄋㄚ2" - ], - "𧘿": [ - "ㄓㄥ1" - ], - "𧙀": [ - "ㄌㄚ4" - ], - "𧙁": [ - "ㄓ4", - "ㄗ1", - "ㄐㄧ4", - "ㄆㄧ1" - ], - "𧙃": [ - "ㄜ3" - ], - "𧙄": [ - "ㄅㄛ1" - ], - "𧙅": [ - "ㄆㄛ1" - ], - "𧙆": [ - "ㄒㄩ1" - ], - "𧙇": [ - "ㄩㄥ4", - "ㄉㄢ3" - ], - "𧙈": [ - "ㄘ2" - ], - "𧙉": [ - "ㄌㄧ4" - ], - "𧙌": [ - "ㄆㄠ2" - ], - "𧙏": [ - "ㄒㄧㄡ4", - "ㄧㄡ3" - ], - "𧙛": [ - "ㄆㄨ4" - ], - "𧙝": [ - "ㄔㄜ2" - ], - "𧙞": [ - "ㄑㄧ4" - ], - "𧙡": [ - "ㄧ4" - ], - "𧙣": [ - "ㄊㄧ2" - ], - "𧙤": [ - "ㄉㄨㄛ3" - ], - "𧙥": [ - "ㄌㄨㄥ2", - "ㄊㄨㄥ3" - ], - "𧙧": [ - "ㄐㄧㄢ4" - ], - "𧙭": [ - "ㄓㄢ4" - ], - "𧙮": [ - "ㄩㄢ4" - ], - "𧙶": [ - "ㄩ2" - ], - "𧙸": [ - "ㄍㄥ1" - ], - "𧙺": [ - "ㄏㄡ4" - ], - "𧙾": [ - "ㄑㄧ3" - ], - "𧚀": [ - "ㄇㄨ4" - ], - "𧚁": [ - "ㄏㄨㄢ4" - ], - "𧚂": [ - "ㄌㄨㄥ4" - ], - "𧚃": [ - "ㄒㄧ4" - ], - "𧚄": [ - "ㄜ2" - ], - "𧚅": [ - "ㄌㄤ3" - ], - "𧚆": [ - "ㄈㄟ4" - ], - "𧚇": [ - "ㄨㄢ3", - "ㄨㄣ4" - ], - "𧚉": [ - "ㄘㄨㄣ1" - ], - "𧚋": [ - "ㄆㄥ2" - ], - "𧚏": [ - "ㄘㄨㄛ4" - ], - "𧚐": [ - "ㄨㄥ1" - ], - "𧚡": [ - "ㄍㄠ3" - ], - "𧚥": [ - "ㄘㄨㄟ4" - ], - "𧚨": [ - "ㄑㄧ4", - "ㄕㄚ4", - "ㄑㄧㄝ4" - ], - "𧚩": [ - "ㄌㄧ2" - ], - "𧚪": [ - "ㄑㄧㄝ4" - ], - "𧚫": [ - "ㄑㄧㄢ4", - "ㄐㄧㄥ1" - ], - "𧚬": [ - "ㄎㄨㄥ1" - ], - "𧚭": [ - "ㄅㄥ3" - ], - "𧚯": [ - "ㄕㄡ4" - ], - "𧚷": [ - "ㄨㄟ1" - ], - "𧛄": [ - "ㄕㄢ1" - ], - "𧛏": [ - "ㄗ1" - ], - "𧛒": [ - "ㄊㄧ4" - ], - "𧛓": [ - "ㄑㄧㄢ1" - ], - "𧛔": [ - "ㄉㄨ2" - ], - "𧛗": [ - "ㄊㄨ2" - ], - "𧛚": [ - "ㄨㄟ1" - ], - "𧛞": [ - "ㄏㄨ2" - ], - "𧛟": [ - "ㄒㄧㄥ1" - ], - "𧛡": [ - "ㄕㄢ1" - ], - "𧛢": [ - "ㄓ3" - ], - "𧛧": [ - "ㄔ3" - ], - "𧛸": [ - "ㄓㄡ4" - ], - "𧛹": [ - "ㄨㄥ1" - ], - "𧛺": [ - "ㄔ2" - ], - "𧛻": [ - "ㄙㄨㄛ3" - ], - "𧛼": [ - "ㄒㄧㄝ4" - ], - "𧛾": [ - "ㄎㄜ4" - ], - "𧜁": [ - "ㄕㄞ4", - "ㄕㄚ1", - "ㄕㄞ3" - ], - "𧜂": [ - "ㄕ1" - ], - "𧜃": [ - "ㄕㄡ4" - ], - "𧜅": [ - "ㄐㄧㄝ4" - ], - "𧜉": [ - "ㄍㄠ3" - ], - "𧜊": [ - "ㄌㄩ3" - ], - "𧜔": [ - "ㄒㄧㄝ4" - ], - "𧜚": [ - "ㄓ3" - ], - "𧜞": [ - "ㄇㄢ2", - "ㄇㄢ4" - ], - "𧜠": [ - "ㄕㄨㄞ4" - ], - "𧜡": [ - "ㄎㄜ4" - ], - "𧜣": [ - "ㄉㄧㄠ3" - ], - "𧜤": [ - "ㄧ1" - ], - "𧜦": [ - "ㄙㄨ4" - ], - "𧜧": [ - "ㄔㄨㄤ1" - ], - "𧜱": [ - "ㄘㄨㄟ4" - ], - "𧜲": [ - "ㄊㄨㄛ4" - ], - "𧜵": [ - "ㄒㄧㄝ4" - ], - "𧜽": [ - "ㄒㄩㄢ2" - ], - "𧝂": [ - "ㄏㄜ4" - ], - "𧝃": [ - "ㄐㄩㄝ2" - ], - "𧝆": [ - "ㄊㄧ4" - ], - "𧝇": [ - "ㄈㄟ4" - ], - "𧝉": [ - "ㄓ3" - ], - "𧝊": [ - "ㄕ4" - ], - "𧝋": [ - "ㄊㄨㄟ2" - ], - "𧝎": [ - "ㄔㄨㄥ1", - "ㄔㄨㄤ2", - "ㄔㄨㄥ2" - ], - "𧝐": [ - "ㄊㄧ4" - ], - "𧝑": [ - "ㄓㄢ4" - ], - "𧝒": [ - "ㄏㄥ2" - ], - "𧝔": [ - "ㄑㄩ2" - ], - "𧝕": [ - "ㄨㄟ2" - ], - "𧝗": [ - "ㄉㄨㄣ1" - ], - "𧝘": [ - "ㄅㄠ4" - ], - "𧝜": [ - "ㄌㄧㄠ2" - ], - "𧝤": [ - "ㄙ1" - ], - "𧝪": [ - "ㄅㄧㄠ3" - ], - "𧝫": [ - "ㄒㄧㄝ4" - ], - "𧝬": [ - "ㄅㄧㄝ2", - "ㄅㄧ4" - ], - "𧝮": [ - "ㄘㄨㄥ3" - ], - "𧝲": [ - "ㄐㄩ4" - ], - "𧝳": [ - "ㄏㄜ2" - ], - "𧝷": [ - "ㄎㄨㄟ4" - ], - "𧝸": [ - "ㄩㄥ1" - ], - "𧞀": [ - "ㄕㄨ4" - ], - "𧞍": [ - "ㄋㄧㄝ4" - ], - "𧞏": [ - "ㄩ2" - ], - "𧞐": [ - "ㄓㄨㄛ2" - ], - "𧞑": [ - "ㄇㄥ2" - ], - "𧞒": [ - "ㄏㄨ2" - ], - "𧞕": [ - "ㄌㄧㄝ4" - ], - "𧞝": [ - "ㄐㄧㄝ1" - ], - "𧞞": [ - "ㄒㄩㄥ2" - ], - "𧞣": [ - "ㄧㄢ3" - ], - "𧞩": [ - "ㄐㄧㄝ2" - ], - "𧞪": [ - "ㄌㄚ4", - "ㄌㄧㄝ2" - ], - "𧞫": [ - "ㄕㄨ4" - ], - "𧞬": [ - "ㄐㄧㄝ2" - ], - "𧞭": [ - "ㄌㄟ2" - ], - "𧞰": [ - "ㄗㄨ2" - ], - "𧞲": [ - "ㄕ4" - ], - "𧞸": [ - "ㄨㄟ2", - "ㄙㄨㄟ4" - ], - "𧞹": [ - "ㄉㄨ1" - ], - "𧞺": [ - "ㄙㄨ4" - ], - "𧟃": [ - "ㄒㄧㄝ2" - ], - "𧟄": [ - "ㄖㄤ2" - ], - "𧟌": [ - "ㄌㄨㄛ4" - ], - "𧟑": [ - "ㄑㄧㄢ1" - ], - "𧟘": [ - "ㄋㄤ4" - ], - "𧟙": [ - "ㄌㄧㄥ2" - ], - "𧟜": [ - "ㄐㄧ4" - ], - "𧟠": [ - "ㄇㄧㄥ4" - ], - "𧟣": [ - "ㄍㄨ3" - ], - "𧟨": [ - "ㄒㄩㄢ2" - ], - "𧟬": [ - "ㄒㄩ1" - ], - "𧟱": [ - "ㄅㄛ2" - ], - "𧟼": [ - "ㄨㄟ1" - ], - "𧠂": [ - "ㄎㄨ1" - ], - "𧠆": [ - "ㄨㄢ3" - ], - "𧠈": [ - "ㄔㄚ4" - ], - "𧠊": [ - "ㄇㄠ4" - ], - "𧠋": [ - "ㄎㄜ4" - ], - "𧠎": [ - "ㄘ4" - ], - "𧠒": [ - "ㄒㄧㄢ4" - ], - "𧠓": [ - "ㄇㄛ4" - ], - "𧠚": [ - "ㄏㄨㄣ1" - ], - "𧠛": [ - "ㄔㄢ4" - ], - "𧠜": [ - "ㄕ1" - ], - "𧠝": [ - "ㄓㄣ3" - ], - "𧠞": [ - "ㄜ4" - ], - "𧠟": [ - "ㄇㄧ2" - ], - "𧠡": [ - "ㄕ1" - ], - "𧠢": [ - "ㄑㄩ1" - ], - "𧠣": [ - "ㄕㄨ1" - ], - "𧠥": [ - "ㄘ1" - ], - "𧠦": [ - "ㄧㄢ3" - ], - "𧠩": [ - "ㄏㄨ1" - ], - "𧠪": [ - "ㄑㄧ1" - ], - "𧠫": [ - "ㄓ4", - "ㄉㄧ2", - "ㄔ4" - ], - "𧠬": [ - "ㄏㄨㄤ1" - ], - "𧠴": [ - "ㄓ3" - ], - "𧠶": [ - "ㄧㄡ3" - ], - "𧠼": [ - "ㄍㄠ4" - ], - "𧠽": [ - "ㄧㄠ3" - ], - "𧠾": [ - "ㄆㄡ1" - ], - "𧡇": [ - "ㄧ2" - ], - "𧡈": [ - "ㄔㄥ4" - ], - "𧡉": [ - "ㄐㄧ4" - ], - "𧡋": [ - "ㄞ3", - "ㄧㄚ2" - ], - "𧡍": [ - "ㄉㄨㄥ4" - ], - "𧡏": [ - "ㄙㄨㄟ4" - ], - "𧡑": [ - "ㄐㄧㄡ4" - ], - "𧡘": [ - "ㄑㄧ4", - "ㄑㄧㄣ1" - ], - "𧡙": [ - "ㄌㄧㄢ2" - ], - "𧡚": [ - "ㄒㄩㄢ3" - ], - "𧡜": [ - "ㄌㄧㄠ3" - ], - "𧡡": [ - "ㄩㄣ4" - ], - "𧡢": [ - "ㄒㄩㄢ3" - ], - "𧡣": [ - "ㄘㄡ2" - ], - "𧡤": [ - "ㄆㄧㄢ1" - ], - "𧡦": [ - "ㄎㄨㄟ2" - ], - "𧡨": [ - "ㄊㄧ2" - ], - "𧡩": [ - "ㄏㄨㄢ3" - ], - "𧡪": [ - "ㄉㄢ1", - "ㄉㄢ4" - ], - "𧡫": [ - "ㄍㄨㄟ4", - "ㄎㄨㄟ4" - ], - "𧡬": [ - "ㄔㄣ1" - ], - "𧡮": [ - "ㄕㄤ3" - ], - "𧡯": [ - "ㄐㄧ4" - ], - "𧡴": [ - "ㄌㄧㄢ4" - ], - "𧡵": [ - "ㄎㄢ1" - ], - "𧡶": [ - "ㄕㄥ4" - ], - "𧡸": [ - "ㄉㄡ1" - ], - "𧡹": [ - "ㄧㄡ2" - ], - "𧡺": [ - "ㄑㄧ2" - ], - "𧡼": [ - "ㄒㄧㄠ3" - ], - "𧢂": [ - "ㄧ4" - ], - "𧢃": [ - "ㄌㄡ2" - ], - "𧢆": [ - "ㄔㄨㄤ1" - ], - "𧢋": [ - "ㄌㄠ4" - ], - "𧢌": [ - "ㄍㄠ1" - ], - "𧢐": [ - "ㄗㄥ1" - ], - "𧢒": [ - "ㄨㄟ2", - "ㄨㄟ3" - ], - "𧢖": [ - "ㄐㄧㄢ1" - ], - "𧢛": [ - "ㄧㄥ1" - ], - "𧢜": [ - "ㄈㄢ2" - ], - "𧢝": [ - "ㄌㄧ4" - ], - "𧢞": [ - "ㄑㄧㄢ1" - ], - "𧢢": [ - "ㄧㄠ4" - ], - "𧢦": [ - "ㄎㄨㄟ1", - "ㄎㄨㄟ2", - "ㄍㄨㄟ4" - ], - "𧢧": [ - "ㄨㄟ2" - ], - "𧢩": [ - "ㄑㄩㄝ4" - ], - "𧢬": [ - "ㄒㄧㄠ3" - ], - "𧢭": [ - "ㄑㄩㄝ4" - ], - "𧢰": [ - "ㄏㄨ1" - ], - "𧢵": [ - "ㄉㄨㄛ1" - ], - "𧢶": [ - "ㄔㄨ4" - ], - "𧢹": [ - "ㄕㄣ1", - "ㄐㄧㄣ1" - ], - "𧢼": [ - "ㄓㄨㄛ2" - ], - "𧢽": [ - "ㄜ2" - ], - "𧢾": [ - "ㄐㄧ4" - ], - "𧣁": [ - "ㄊㄢ2" - ], - "𧣃": [ - "ㄆㄚ1" - ], - "𧣋": [ - "ㄐㄧㄝ4" - ], - "𧣌": [ - "ㄑㄧㄠ4" - ], - "𧣑": [ - "ㄑㄧㄢ2" - ], - "𧣒": [ - "ㄐㄩ4" - ], - "𧣕": [ - "ㄑㄧㄡ2" - ], - "𧣖": [ - "ㄊㄨㄛ2" - ], - "𧣚": [ - "ㄋㄨㄛ4" - ], - "𧣛": [ - "ㄙ4" - ], - "𧣟": [ - "ㄧ2" - ], - "𧣡": [ - "ㄍㄨ3" - ], - "𧣢": [ - "ㄏㄨㄣ4" - ], - "𧣣": [ - "ㄆㄚ2" - ], - "𧣤": [ - "ㄗ1" - ], - "𧣦": [ - "ㄐㄧㄠ1" - ], - "𧣩": [ - "ㄒㄧ3" - ], - "𧣪": [ - "ㄕㄠ3", - "ㄕㄠ4" - ], - "𧣬": [ - "ㄧ2" - ], - "𧣭": [ - "ㄓ4" - ], - "𧣵": [ - "ㄌㄨㄣ4" - ], - "𧣷": [ - "ㄓㄡ1" - ], - "𧣸": [ - "ㄐㄩㄝ2" - ], - "𧣹": [ - "ㄊㄢ2" - ], - "𧣺": [ - "ㄋㄨㄛ4", - "ㄔㄨㄛ4" - ], - "𧣻": [ - "ㄐㄩ4" - ], - "𧣼": [ - "ㄏㄨ2" - ], - "𧣾": [ - "ㄓ4" - ], - "𧤃": [ - "ㄅㄧ1" - ], - "𧤍": [ - "ㄔ4", - "ㄊㄧ4" - ], - "𧤎": [ - "ㄒㄩㄢ1" - ], - "𧤏": [ - "ㄐㄧ2" - ], - "𧤐": [ - "ㄍㄨㄚ3" - ], - "𧤑": [ - "ㄐㄩ2" - ], - "𧤒": [ - "ㄨㄛ4" - ], - "𧤓": [ - "ㄊㄨㄛ2" - ], - "𧤕": [ - "ㄑㄧㄡ2" - ], - "𧤖": [ - "ㄨㄟ1" - ], - "𧤗": [ - "ㄉㄨㄢ1" - ], - "𧤙": [ - "ㄕㄡ4" - ], - "𧤛": [ - "ㄓㄣ3" - ], - "𧤜": [ - "ㄋㄜ4", - "ㄌㄧ4" - ], - "𧤟": [ - "ㄒㄧ4" - ], - "𧤠": [ - "ㄓㄜ2" - ], - "𧤡": [ - "ㄓ4" - ], - "𧤣": [ - "ㄋㄚ2" - ], - "𧤨": [ - "ㄐㄧㄢ1" - ], - "𧤮": [ - "ㄧㄠ2" - ], - "𧤯": [ - "ㄍㄨㄛ2", - "ㄩㄝ4" - ], - "𧤲": [ - "ㄉㄧ3" - ], - "𧤴": [ - "ㄏㄨㄛ4" - ], - "𧤵": [ - "ㄐㄧㄥ1" - ], - "𧤼": [ - "ㄐㄩㄝ2" - ], - "𧤽": [ - "ㄩㄝ4", - "ㄐㄧㄢ4" - ], - "𧥄": [ - "ㄐㄧ2" - ], - "𧥆": [ - "ㄙㄨ4" - ], - "𧥈": [ - "ㄐㄧㄢ1" - ], - "𧥊": [ - "ㄎㄨㄣ1" - ], - "𧥋": [ - "ㄨㄛ4" - ], - "𧥌": [ - "ㄎㄨㄤ4" - ], - "𧥍": [ - "ㄅㄧㄠ1" - ], - "𧥎": [ - "ㄐㄩㄝ2" - ], - "𧥑": [ - "ㄅㄧ4" - ], - "𧥓": [ - "ㄔㄢ2" - ], - "𧥕": [ - "ㄗ1" - ], - "𧥖": [ - "ㄌㄧ2", - "ㄕ3" - ], - "𧥚": [ - "ㄈㄛ2" - ], - "𧥛": [ - "ㄑㄧㄢ3" - ], - "𧥜": [ - "ㄧㄢ3" - ], - "𧥞": [ - "ㄊㄢ4" - ], - "𧥟": [ - "ㄇㄛ4" - ], - "𧥣": [ - "ㄎㄡ4" - ], - "𧥤": [ - "ㄒㄧ1", - "ㄒㄧㄝ1" - ], - "𧥮": [ - "ㄏㄨ4", - "ㄉㄧ3" - ], - "𧥯": [ - "ㄏㄨ4" - ], - "𧥱": [ - "ㄈㄨ2" - ], - "𧥴": [ - "ㄧㄤ4" - ], - "𧥵": [ - "ㄍㄨㄛ4" - ], - "𧥷": [ - "ㄖㄣ2" - ], - "𧥸": [ - "ㄧㄣ4" - ], - "𧥹": [ - "ㄈㄥ1" - ], - "𧥺": [ - "ㄐㄩㄣ4", - "ㄩㄣ4" - ], - "𧥼": [ - "ㄩㄣ2" - ], - "𧥿": [ - "ㄒㄩㄣ4" - ], - "𧦁": [ - "ㄒㄧ4" - ], - "𧦎": [ - "ㄒㄧㄚ1" - ], - "𧦑": [ - "ㄏㄤ2" - ], - "𧦚": [ - "ㄏㄨ4", - "ㄉㄧ3" - ], - "𧦝": [ - "ㄏㄨ1", - "ㄏㄠ4" - ], - "𧦞": [ - "ㄆㄨ4" - ], - "𧦟": [ - "ㄈㄢ1" - ], - "𧦤": [ - "ㄐㄧㄚ1" - ], - "𧦧": [ - "ㄧ2", - "ㄊㄨㄛ1" - ], - "𧦭": [ - "ㄊㄨㄛ1", - "ㄒㄧ1" - ], - "𧦮": [ - "ㄋㄚ2" - ], - "𧦸": [ - "ㄧㄣ2" - ], - "𧦹": [ - "ㄧㄣ4" - ], - "𧧃": [ - "ㄐㄧ4" - ], - "𧧄": [ - "ㄨㄤ4" - ], - "𧧅": [ - "ㄕ4", - "ㄐㄧㄢ4" - ], - "𧧆": [ - "ㄉㄨㄟ1" - ], - "𧧇": [ - "ㄉㄨㄛ4" - ], - "𧧉": [ - "ㄊㄨㄛ2" - ], - "𧧊": [ - "ㄨㄚ1" - ], - "𧧋": [ - "ㄌㄧ4" - ], - "𧧏": [ - "ㄖㄜ4", - "ㄖㄜ3" - ], - "𧧒": [ - "ㄘ4" - ], - "𧧓": [ - "ㄒㄩ4" - ], - "𧧔": [ - "ㄓㄡ1" - ], - "𧧕": [ - "ㄗ4" - ], - "𧧜": [ - "ㄨㄤ3" - ], - "𧧝": [ - "ㄧㄚ3" - ], - "𧧟": [ - "ㄐㄧ4" - ], - "𧧠": [ - "ㄔㄠ3" - ], - "𧧩": [ - "ㄐㄧ2" - ], - "𧧵": [ - "ㄕㄢ3" - ], - "𧧶": [ - "ㄊㄨ2" - ], - "𧧸": [ - "ㄅㄧㄝ2" - ], - "𧧹": [ - "ㄒㄧ4" - ], - "𧧺": [ - "ㄆㄧ1" - ], - "𧧻": [ - "ㄓㄚ4" - ], - "𧧾": [ - "ㄏㄨㄟ4" - ], - "𧨀": [ - "ㄙㄨㄛ1", - "ㄗㄨㄛ4" - ], - "𧨂": [ - "ㄏㄜ4" - ], - "𧨄": [ - "ㄩㄝ1" - ], - "𧨆": [ - "ㄨ1", - "ㄏㄨㄤ3" - ], - "𧨈": [ - "ㄌㄧㄥ2", - "ㄨ1" - ], - "𧨊": [ - "ㄓㄚ4" - ], - "𧨋": [ - "ㄏㄨㄚ2" - ], - "𧨗": [ - "ㄔㄢ2" - ], - "𧨟": [ - "ㄜ4" - ], - "𧨡": [ - "ㄔㄣ2" - ], - "𧨧": [ - "ㄙㄨㄟ4" - ], - "𧨩": [ - "ㄊㄧㄢ3" - ], - "𧨰": [ - "ㄓ4" - ], - "𧨱": [ - "ㄊㄧ4" - ], - "𧨲": [ - "ㄠ1" - ], - "𧨳": [ - "ㄓㄨㄛ2" - ], - "𧨴": [ - "ㄗ4" - ], - "𧨵": [ - "ㄎㄜ1" - ], - "𧨷": [ - "ㄙㄜ4" - ], - "𧨸": [ - "ㄊㄧㄢ2" - ], - "𧨹": [ - "ㄌㄨ4" - ], - "𧨾": [ - "ㄕㄢ2" - ], - "𧨿": [ - "ㄓㄚ3" - ], - "𧩃": [ - "ㄔㄨㄥ1" - ], - "𧩅": [ - "ㄧㄢ4" - ], - "𧩒": [ - "ㄇㄨ3" - ], - "𧩓": [ - "ㄏㄨ1" - ], - "𧩚": [ - "ㄔ1" - ], - "𧩝": [ - "ㄙㄨ4" - ], - "𧩣": [ - "ㄋㄠ3" - ], - "𧩦": [ - "ㄐㄧ2" - ], - "𧩧": [ - "ㄉㄨㄛ2" - ], - "𧩨": [ - "ㄏㄡ4" - ], - "𧩪": [ - "ㄘㄨㄥ4" - ], - "𧩫": [ - "ㄓㄚ1", - "ㄔㄚ4" - ], - "𧩬": [ - "ㄧㄣ2" - ], - "𧩮": [ - "ㄒㄧㄠ3", - "ㄙㄡ3", - "ㄙㄡ4" - ], - "𧩰": [ - "ㄅㄧㄢ4" - ], - "𧩱": [ - "ㄅㄥ4" - ], - "𧩲": [ - "ㄌㄚ4" - ], - "𧩴": [ - "ㄔ1", - "ㄔ4" - ], - "𧩶": [ - "ㄑㄧㄚ4" - ], - "𧩸": [ - "ㄢ1" - ], - "𧩹": [ - "ㄕ1", - "ㄧ3" - ], - "𧩼": [ - "ㄔ4", - "ㄓ3" - ], - "𧪅": [ - "ㄋㄨ4" - ], - "𧪇": [ - "ㄐㄧ4" - ], - "𧪓": [ - "ㄡ3" - ], - "𧪕": [ - "ㄒㄧㄚ1" - ], - "𧪘": [ - "ㄔㄞ4", - "ㄘㄨㄛ3", - "ㄐㄧㄝ1" - ], - "𧪚": [ - "ㄞ2" - ], - "𧪝": [ - "ㄕㄥ4" - ], - "𧪞": [ - "ㄏㄜ2", - "ㄍㄜ2" - ], - "𧪠": [ - "ㄐㄧ2" - ], - "𧪡": [ - "ㄔ1" - ], - "𧪢": [ - "ㄒㄧ4" - ], - "𧪣": [ - "ㄓㄥ1" - ], - "𧪦": [ - "ㄊㄚ1" - ], - "𧪨": [ - "ㄇㄚ4" - ], - "𧪫": [ - "ㄆㄧ1" - ], - "𧪮": [ - "ㄒㄩ1", - "ㄏㄨㄚ2" - ], - "𧪯": [ - "ㄑㄧㄢ3" - ], - "𧪹": [ - "ㄒㄧㄚ4" - ], - "𧫊": [ - "ㄩ4" - ], - "𧫑": [ - "ㄐㄧㄝ2" - ], - "𧫒": [ - "ㄒㄧㄚ4" - ], - "𧫓": [ - "ㄌㄨ3" - ], - "𧫕": [ - "ㄑㄧㄝ4" - ], - "𧫗": [ - "ㄔㄚ4" - ], - "𧫛": [ - "ㄧㄤ4" - ], - "𧫜": [ - "ㄐㄧ4" - ], - "𧫝": [ - "ㄕㄚ3" - ], - "𧫞": [ - "ㄌㄡ4" - ], - "𧫠": [ - "ㄐㄧ1" - ], - "𧫡": [ - "ㄓ4" - ], - "𧫢": [ - "ㄨㄤ4" - ], - "𧫤": [ - "ㄅㄧ4" - ], - "𧫥": [ - "ㄢ1" - ], - "𧫦": [ - "ㄧ1" - ], - "𧫧": [ - "ㄢ1", - "ㄢ4" - ], - "𧫬": [ - "ㄌㄧ2" - ], - "𧫹": [ - "ㄒㄧㄢ1" - ], - "𧫾": [ - "ㄐㄧㄡ4" - ], - "𧫿": [ - "ㄊㄢ3" - ], - "𧬁": [ - "ㄏㄠ4" - ], - "𧬂": [ - "ㄏㄜ4" - ], - "𧬅": [ - "ㄓㄚ1" - ], - "𧬆": [ - "ㄓㄢ3" - ], - "𧬇": [ - "ㄧ4" - ], - "𧬈": [ - "ㄒㄧ4" - ], - "𧬊": [ - "ㄒㄧ4", - "ㄙ2" - ], - "𧬋": [ - "ㄈㄚ4" - ], - "𧬌": [ - "ㄧㄢ2" - ], - "𧬏": [ - "ㄇㄨ3" - ], - "𧬕": [ - "ㄍㄨ1" - ], - "𧬞": [ - "ㄩㄣ2" - ], - "𧬤": [ - "ㄓㄨㄥ4" - ], - "𧬦": [ - "ㄔㄢ3" - ], - "𧬧": [ - "ㄔㄨㄤ2" - ], - "𧬨": [ - "ㄏㄨㄟ4" - ], - "𧬩": [ - "ㄗㄚ2" - ], - "𧬪": [ - "ㄍㄨㄣ4" - ], - "𧬫": [ - "ㄐㄧㄢ3" - ], - "𧬬": [ - "ㄧㄚ2" - ], - "𧬰": [ - "ㄒㄧㄤ4", - "ㄒㄧㄤ3" - ], - "𧬱": [ - "ㄏㄜ4" - ], - "𧭃": [ - "ㄉㄢ4" - ], - "𧭇": [ - "ㄇㄧㄢ2" - ], - "𧭈": [ - "ㄋㄧㄥ2", - "ㄋㄧㄥ4" - ], - "𧭊": [ - "ㄇㄥ2" - ], - "𧭌": [ - "ㄌㄧㄝ4" - ], - "𧭍": [ - "ㄓㄡ4" - ], - "𧭎": [ - "ㄆㄨ1" - ], - "𧭏": [ - "ㄊㄞ1" - ], - "𧭓": [ - "ㄧㄥ2" - ], - "𧭔": [ - "ㄊㄥ2" - ], - "𧭕": [ - "ㄍㄨㄛ2" - ], - "𧭚": [ - "ㄑㄧㄤ2" - ], - "𧭜": [ - "ㄌㄩ4" - ], - "𧭝": [ - "ㄙㄚ4" - ], - "𧭞": [ - "ㄌㄧㄝ4" - ], - "𧭟": [ - "ㄔ2" - ], - "𧭠": [ - "ㄒㄧㄝ3" - ], - "𧭣": [ - "ㄍㄨㄛ2" - ], - "𧭤": [ - "ㄅㄠ4", - "ㄅㄠ2" - ], - "𧭥": [ - "ㄌㄨㄛ4" - ], - "𧭦": [ - "ㄐㄩㄢ4", - "ㄒㄩㄢ1" - ], - "𧭪": [ - "ㄜ4" - ], - "𧭳": [ - "ㄏㄜ2" - ], - "𧭵": [ - "ㄇㄟ4" - ], - "𧭸": [ - "ㄒㄧㄝ4" - ], - "𧭹": [ - "ㄆㄧㄣ2" - ], - "𧭻": [ - "ㄏㄢ1" - ], - "𧭼": [ - "ㄔㄣ4" - ], - "𧭽": [ - "ㄕㄢ4" - ], - "𧭾": [ - "ㄏㄨㄟ4" - ], - "𧮆": [ - "ㄧㄥ1" - ], - "𧮈": [ - "ㄐㄧㄢ3" - ], - "𧮍": [ - "ㄢ1" - ], - "𧮑": [ - "ㄊㄚ4" - ], - "𧮒": [ - "ㄧ1" - ], - "𧮓": [ - "ㄊㄨㄟ2" - ], - "𧮗": [ - "ㄌㄧㄡ2" - ], - "𧮙": [ - "ㄗㄨㄛ2" - ], - "𧮛": [ - "ㄌㄧ2" - ], - "𧮝": [ - "ㄆㄧㄣ2" - ], - "𧮞": [ - "ㄒㄩㄝ4" - ], - "𧮠": [ - "ㄋㄣ4" - ], - "𧮡": [ - "ㄉㄡ4" - ], - "𧮤": [ - "ㄌㄢ3" - ], - "𧮪": [ - "ㄓㄢ1" - ], - "𧮫": [ - "ㄐㄩㄝ2" - ], - "𧮬": [ - "ㄓㄣ1", - "ㄐㄩㄝ2" - ], - "𧮭": [ - "ㄐㄧ2" - ], - "𧮮": [ - "ㄑㄧㄢ1" - ], - "𧮰": [ - "ㄏㄢ1" - ], - "𧮱": [ - "ㄈㄣ2" - ], - "𧮳": [ - "ㄏㄢ1" - ], - "𧮴": [ - "ㄏㄨㄥ2" - ], - "𧮵": [ - "ㄏㄜ2" - ], - "𧮶": [ - "ㄏㄡ2" - ], - "𧮺": [ - "ㄓㄢ4" - ], - "𧮻": [ - "ㄔㄡ2", - "ㄒㄧㄠ1" - ], - "𧮼": [ - "ㄊㄞ4" - ], - "𧮽": [ - "ㄑㄧㄢ4" - ], - "𧮿": [ - "ㄕㄜ4" - ], - "𧯀": [ - "ㄧㄥ1" - ], - "𧯃": [ - "ㄑㄧㄣ1" - ], - "𧯆": [ - "ㄏㄨㄛ4" - ], - "𧯈": [ - "ㄒㄧ4" - ], - "𧯉": [ - "ㄏㄜ4" - ], - "𧯊": [ - "ㄒㄧ4" - ], - "𧯋": [ - "ㄒㄧㄚ1" - ], - "𧯌": [ - "ㄏㄠ1" - ], - "𧯍": [ - "ㄌㄠ4" - ], - "𧯏": [ - "ㄌㄧ4" - ], - "𧯒": [ - "ㄔㄥ1" - ], - "𧯖": [ - "ㄐㄩㄣ4" - ], - "𧯗": [ - "ㄒㄧ1" - ], - "𧯘": [ - "ㄏㄢ3" - ], - "𧯞": [ - "ㄉㄡ4", - "ㄉㄡ1" - ], - "𧯠": [ - "ㄉㄡ1" - ], - "𧯡": [ - "ㄨㄢ1", - "ㄩㄝ4" - ], - "𧯤": [ - "ㄉㄡ1" - ], - "𧯥": [ - "ㄗㄞ4" - ], - "𧯦": [ - "ㄐㄩㄢ4" - ], - "𧯨": [ - "ㄌㄡ3" - ], - "𧯩": [ - "ㄔㄨ4" - ], - "𧯫": [ - "ㄓㄥ1" - ], - "𧯯": [ - "ㄑㄧ2" - ], - "𧯰": [ - "ㄎㄢ4" - ], - "𧯱": [ - "ㄏㄨㄛ4", - "ㄩ4" - ], - "𧯲": [ - "ㄌㄞ2" - ], - "𧯺": [ - "ㄍㄞ1" - ], - "𧯼": [ - "ㄕㄡ4" - ], - "𧯾": [ - "ㄉㄨㄥ1" - ], - "𧰃": [ - "ㄌㄡ2" - ], - "𧰄": [ - "ㄊㄨㄢ1" - ], - "𧰇": [ - "ㄩ2" - ], - "𧰈": [ - "ㄨ4" - ], - "𧰊": [ - "ㄊㄧㄢ2" - ], - "𧰒": [ - "ㄍㄨㄛ2" - ], - "𧰘": [ - "ㄊㄢ2" - ], - "𧰙": [ - "ㄑㄧ2" - ], - "𧰠": [ - "ㄌㄧㄝ4" - ], - "𧰡": [ - "ㄌㄧ4" - ], - "𧰣": [ - "ㄒㄩㄣ1" - ], - "𧰨": [ - "ㄍㄥ4" - ], - "𧰩": [ - "ㄊㄧㄥ1" - ], - "𧰪": [ - "ㄏㄢ4" - ], - "𧰫": [ - "ㄔㄨ4" - ], - "𧰭": [ - "ㄊㄨㄣ2" - ], - "𧰯": [ - "ㄒㄩㄥ2" - ], - "𧰰": [ - "ㄧㄡ2" - ], - "𧰱": [ - "ㄇㄛ4" - ], - "𧰲": [ - "ㄔ3" - ], - "𧰴": [ - "ㄏㄨ3" - ], - "𧰵": [ - "ㄉㄨ1", - "ㄉㄨ2", - "ㄓㄨㄛ2" - ], - "𧰷": [ - "ㄇㄨ3" - ], - "𧰹": [ - "ㄋㄚ4" - ], - "𧰻": [ - "ㄌㄧㄥ2" - ], - "𧰿": [ - "ㄞ4" - ], - "𧱀": [ - "ㄒㄧㄢ1" - ], - "𧱄": [ - "ㄎㄢ3" - ], - "𧱅": [ - "ㄙ4" - ], - "𧱆": [ - "ㄙㄢ1" - ], - "𧱊": [ - "ㄧ4" - ], - "𧱏": [ - "ㄧ4" - ], - "𧱐": [ - "ㄒㄧㄠ4", - "ㄒㄧㄠ1" - ], - "𧱒": [ - "ㄓ1", - "ㄓㄨㄛ1" - ], - "𧱓": [ - "ㄉㄡ4" - ], - "𧱘": [ - "ㄇㄞ4" - ], - "𧱜": [ - "ㄌㄨㄣ2" - ], - "𧱝": [ - "ㄐㄩㄝ2", - "ㄐㄩㄣ4" - ], - "𧱡": [ - "ㄑㄧㄤ1" - ], - "𧱢": [ - "ㄌㄧㄥ2" - ], - "𧱩": [ - "ㄆㄧㄢ2" - ], - "𧱪": [ - "ㄘㄡ4" - ], - "𧱫": [ - "ㄉㄨㄛ4" - ], - "𧱬": [ - "ㄩ3" - ], - "𧱰": [ - "ㄓㄨㄛ1" - ], - "𧱲": [ - "ㄒㄧ4" - ], - "𧱳": [ - "ㄏㄨㄞ4" - ], - "𧱴": [ - "ㄇㄧㄥ2" - ], - "𧱵": [ - "ㄊㄤ2" - ], - "𧱹": [ - "ㄆㄨ1" - ], - "𧱻": [ - "ㄇㄧ4" - ], - "𧱼": [ - "ㄇㄢ2" - ], - "𧱾": [ - "ㄍㄨㄞ1" - ], - "𧲀": [ - "ㄑㄧㄢ1" - ], - "𧲂": [ - "ㄌㄧㄣ2" - ], - "𧲃": [ - "ㄇㄧㄣ3" - ], - "𧲄": [ - "ㄨㄟ3" - ], - "𧲅": [ - "ㄘㄥ2" - ], - "𧲇": [ - "ㄏㄨ4" - ], - "𧲈": [ - "ㄙㄨㄟ2" - ], - "𧲋": [ - "ㄐㄩ4" - ], - "𧲌": [ - "ㄕㄚ4" - ], - "𧲍": [ - "ㄇㄥ2" - ], - "𧲗": [ - "ㄨㄟ2" - ], - "𧲘": [ - "ㄒㄧ1" - ], - "𧲙": [ - "ㄌㄧㄥ4" - ], - "𧲜": [ - "ㄅㄧ4" - ], - "𧲝": [ - "ㄨㄟ4" - ], - "𧲡": [ - "ㄌㄧ4" - ], - "𧲢": [ - "ㄓㄜ2" - ], - "𧲤": [ - "ㄩㄥ2" - ], - "𧲥": [ - "ㄏㄨ2" - ], - "𧲦": [ - "ㄨㄢ2", - "ㄏㄜ2" - ], - "𧲧": [ - "ㄅㄚ1" - ], - "𧲨": [ - "ㄐㄧㄢ1" - ], - "𧲭": [ - "ㄗㄨㄛ3" - ], - "𧲮": [ - "ㄓㄢ3" - ], - "𧲯": [ - "ㄅㄛ1" - ], - "𧲰": [ - "ㄑㄧㄡ1", - "ㄔㄨ1" - ], - "𧲱": [ - "ㄧㄤ1" - ], - "𧲴": [ - "ㄉㄨㄥ1" - ], - "𧲵": [ - "ㄑㄩ2" - ], - "𧲺": [ - "ㄆㄧ2" - ], - "𧲻": [ - "ㄓㄞ3" - ], - "𧲾": [ - "ㄕㄢ1" - ], - "𧲿": [ - "ㄍㄡ4" - ], - "𧳀": [ - "ㄅㄧㄠ4", - "ㄋㄠ3" - ], - "𧳁": [ - "ㄧ2" - ], - "𧳂": [ - "ㄈㄨ2" - ], - "𧳄": [ - "ㄒㄧㄣ4" - ], - "𧳅": [ - "ㄕ4", - "ㄕ3" - ], - "𧳆": [ - "ㄊㄨㄥ1", - "ㄊㄨㄥ2" - ], - "𧳉": [ - "ㄉㄧㄥ1" - ], - "𧳌": [ - "ㄊㄨ1" - ], - "𧳍": [ - "ㄒㄧㄠ1" - ], - "𧳎": [ - "ㄨ2" - ], - "𧳏": [ - "ㄆㄟ2" - ], - "𧳐": [ - "ㄏㄨㄟ1", - "ㄒㄧ1" - ], - "𧳕": [ - "ㄌㄞ2" - ], - "𧳙": [ - "ㄙ4" - ], - "𧳚": [ - "ㄘㄨㄟ3" - ], - "𧳛": [ - "ㄕㄚ4" - ], - "𧳜": [ - "ㄓㄡ3" - ], - "𧳝": [ - "ㄓㄠ4" - ], - "𧳞": [ - "ㄨㄟ2" - ], - "𧳟": [ - "ㄌㄞ2" - ], - "𧳠": [ - "ㄅㄧ4", - "ㄅㄧ3" - ], - "𧳣": [ - "ㄉㄨㄥ3" - ], - "𧳦": [ - "ㄋㄠ3" - ], - "𧳧": [ - "ㄒㄧㄝ1" - ], - "𧳨": [ - "ㄖㄠ3" - ], - "𧳩": [ - "ㄊㄨㄢ4" - ], - "𧳪": [ - "ㄨㄟ4" - ], - "𧳫": [ - "ㄧㄡ2", - "ㄐㄧㄡ1", - "ㄑㄧㄡ2", - "ㄧㄡ4" - ], - "𧳬": [ - "ㄇㄟ2" - ], - "𧳭": [ - "ㄩㄢ2" - ], - "𧳮": [ - "ㄓㄨㄥ4" - ], - "𧳶": [ - "ㄙㄡ1" - ], - "𧳸": [ - "ㄍㄨ2" - ], - "𧳹": [ - "ㄕㄠ4" - ], - "𧳻": [ - "ㄓㄠ3" - ], - "𧳼": [ - "ㄆㄧ2" - ], - "𧳿": [ - "ㄊㄨㄥ1" - ], - "𧴁": [ - "ㄔ1" - ], - "𧴂": [ - "ㄆㄥ2" - ], - "𧴃": [ - "ㄔㄢ2" - ], - "𧴄": [ - "ㄩㄥ1" - ], - "𧴅": [ - "ㄕㄨㄤ3" - ], - "𧴇": [ - "ㄨ3" - ], - "𧴉": [ - "ㄆㄧ2" - ], - "𧴊": [ - "ㄏㄨㄢ4" - ], - "𧴌": [ - "ㄈㄨ2" - ], - "𧴎": [ - "ㄅㄧㄠ4" - ], - "𧴓": [ - "ㄋㄠ2" - ], - "𧴕": [ - "ㄅㄧㄠ4" - ], - "𧴖": [ - "ㄨㄟ4" - ], - "𧴗": [ - "ㄩㄥ1" - ], - "𧴙": [ - "ㄋㄠ3" - ], - "𧴚": [ - "ㄍㄨㄞ4" - ], - "𧴠": [ - "ㄌㄧ4" - ], - "𧴢": [ - "ㄒㄧㄣ4" - ], - "𧴣": [ - "ㄧㄢ2" - ], - "𧴤": [ - "ㄆㄛ4" - ], - "𧴥": [ - "ㄆㄟ2" - ], - "𧴪": [ - "ㄙㄨㄛ3" - ], - "𧴬": [ - "ㄖㄣ4" - ], - "𧴭": [ - "ㄕㄢ3" - ], - "𧴲": [ - "ㄙㄨㄛ3" - ], - "𧴸": [ - "ㄉㄢ1" - ], - "𧴺": [ - "ㄇㄣ4" - ], - "𧵃": [ - "ㄕㄡ3" - ], - "𧵈": [ - "ㄍㄡ4" - ], - "𧵊": [ - "ㄏㄢ1", - "ㄏㄢ4", - "ㄊㄢ4" - ], - "𧵋": [ - "ㄕ4" - ], - "𧵌": [ - "ㄧㄤ3" - ], - "𧵎": [ - "ㄍㄨ3" - ], - "𧵛": [ - "ㄎㄜ1" - ], - "𧵞": [ - "ㄐㄩ1" - ], - "𧵠": [ - "ㄆㄞ4" - ], - "𧵡": [ - "ㄘㄜ4" - ], - "𧵢": [ - "ㄅㄠ1" - ], - "𧵣": [ - "ㄒㄩㄥ1", - "ㄇㄧㄣ2" - ], - "𧵤": [ - "ㄘㄞ2", - "ㄓㄨ4" - ], - "𧵧": [ - "ㄌㄧㄣ3" - ], - "𧵨": [ - "ㄞ4" - ], - "𧵬": [ - "ㄇㄧ4", - "ㄕㄣ4" - ], - "𧵭": [ - "ㄌㄞ3" - ], - "𧵱": [ - "ㄒㄧㄠ1" - ], - "𧵳": [ - "ㄕㄜ2" - ], - "𧵻": [ - "ㄏㄨㄛ2" - ], - "𧵼": [ - "ㄋㄧ4" - ], - "𧶄": [ - "ㄓㄥ4" - ], - "𧶆": [ - "ㄌㄧㄣ4" - ], - "𧶇": [ - "ㄓㄚ2" - ], - "𧶊": [ - "ㄩㄣ2" - ], - "𧶍": [ - "ㄒㄩ4" - ], - "𧶔": [ - "ㄔㄥ2" - ], - "𧶕": [ - "ㄨㄛ3" - ], - "𧶖": [ - "ㄒㄧ1" - ], - "𧶙": [ - "ㄅㄟ4" - ], - "𧶜": [ - "ㄕㄤ1", - "ㄕㄤ3" - ], - "𧶠": [ - "ㄩ4" - ], - "𧶡": [ - "ㄇㄧ4" - ], - "𧶲": [ - "ㄉㄨㄢ3", - "ㄓㄨㄢ4" - ], - "𧶵": [ - "ㄔㄚ4" - ], - "𧶶": [ - "ㄈㄢ4" - ], - "𧶷": [ - "ㄗㄜ2" - ], - "𧶸": [ - "ㄔㄥ4" - ], - "𧶺": [ - "ㄊㄧㄥ2" - ], - "𧷅": [ - "ㄧ2" - ], - "𧷋": [ - "ㄧㄠ1" - ], - "𧷎": [ - "ㄎㄨ1" - ], - "𧷐": [ - "ㄈㄣ2" - ], - "𧷑": [ - "ㄒㄧㄝ2" - ], - "𧷒": [ - "ㄔㄥ4" - ], - "𧷛": [ - "ㄎㄨㄟ4" - ], - "𧷟": [ - "ㄅㄧㄣ1" - ], - "𧷡": [ - "ㄌㄡ2", - "ㄌㄡ4" - ], - "𧷥": [ - "ㄧ4" - ], - "𧷦": [ - "ㄇㄧ4" - ], - "𧷧": [ - "ㄒㄧㄝ4" - ], - "𧷱": [ - "ㄍㄨㄟ1" - ], - "𧷳": [ - "ㄌㄨㄛ2" - ], - "𧷶": [ - "ㄕㄢ4" - ], - "𧷾": [ - "ㄐㄩ2" - ], - "𧷿": [ - "ㄉㄨ1" - ], - "𧸂": [ - "ㄒㄧㄢ1" - ], - "𧸅": [ - "ㄓ3" - ], - "𧸈": [ - "ㄅㄧㄣ4" - ], - "𧸕": [ - "ㄓ3" - ], - "𧸖": [ - "ㄓㄨㄢ4", - "ㄌㄧㄢ2" - ], - "𧸗": [ - "ㄒㄩㄝ2" - ], - "𧸘": [ - "ㄌㄧㄢ4", - "ㄅㄧㄢ3", - "ㄐㄧㄢ3" - ], - "𧸙": [ - "ㄙㄨㄟ4" - ], - "𧸦": [ - "ㄌㄢ4" - ], - "𧸧": [ - "ㄐㄩ4" - ], - "𧸨": [ - "ㄇㄧㄢ2" - ], - "𧸩": [ - "ㄒㄩㄣ4" - ], - "𧸪": [ - "ㄓㄢ4" - ], - "𧸫": [ - "ㄍㄨㄣ4" - ], - "𧸲": [ - "ㄓ4" - ], - "𧸽": [ - "ㄨㄟ4" - ], - "𧸾": [ - "ㄑㄩㄢ3", - "ㄒㄩㄢ4" - ], - "𧸿": [ - "ㄔㄞ4" - ], - "𧹈": [ - "ㄖㄥ2" - ], - "𧹊": [ - "ㄩㄝ4" - ], - "𧹌": [ - "ㄗ1" - ], - "𧹐": [ - "ㄌㄨㄛ4" - ], - "𧹑": [ - "ㄍㄨㄟ4" - ], - "𧹓": [ - "ㄔㄥ2" - ], - "𧹕": [ - "ㄐㄩ1" - ], - "𧹖": [ - "ㄊㄧㄢ3" - ], - "𧹗": [ - "ㄨㄢ4" - ], - "𧹛": [ - "ㄓ1" - ], - "𧹞": [ - "ㄋㄢ3", - "ㄋㄧㄢ3" - ], - "𧹣": [ - "ㄏㄢ1" - ], - "𧹨": [ - "ㄒㄧ1" - ], - "𧹩": [ - "ㄌㄧㄣ2" - ], - "𧹬": [ - "ㄧㄢ1" - ], - "𧹭": [ - "ㄒㄩ4" - ], - "𧹲": [ - "ㄏㄨ4" - ], - "𧹳": [ - "ㄍㄢ4" - ], - "𧹴": [ - "ㄒㄩ4", - "ㄏㄨㄛ4" - ], - "𧹶": [ - "ㄒㄧ4" - ], - "𧹺": [ - "ㄘㄨㄟ4" - ], - "𧹽": [ - "ㄒㄧ4" - ], - "𧹾": [ - "ㄏㄨ2" - ], - "𧺅": [ - "ㄧㄢ1" - ], - "𧺎": [ - "ㄧ4" - ], - "𧺏": [ - "ㄔ2" - ], - "𧺐": [ - "ㄐㄩㄝ2" - ], - "𧺒": [ - "ㄗㄨ2" - ], - "𧺜": [ - "ㄐㄧㄠ4" - ], - "𧺝": [ - "ㄧ4" - ], - "𧺟": [ - "ㄊㄢ3" - ], - "𧺠": [ - "ㄔ4" - ], - "𧺡": [ - "ㄅㄚ2" - ], - "𧺢": [ - "ㄊㄡ4", - "ㄧ4" - ], - "𧺣": [ - "ㄗㄨㄥ1" - ], - "𧺤": [ - "ㄑㄧㄡ2", - "ㄐㄩ1" - ], - "𧺧": [ - "ㄔ4" - ], - "𧺨": [ - "ㄒㄧ3" - ], - "𧺰": [ - "ㄋㄧ4" - ], - "𧺲": [ - "ㄘㄨ1" - ], - "𧺴": [ - "ㄨ3" - ], - "𧺶": [ - "ㄔㄨ4" - ], - "𧺷": [ - "ㄙㄨ1" - ], - "𧺸": [ - "ㄩㄥ2" - ], - "𧺹": [ - "ㄐㄩ3" - ], - "𧺺": [ - "ㄅㄚ2" - ], - "𧺼": [ - "ㄘ3" - ], - "𧺽": [ - "ㄉㄧ4" - ], - "𧺾": [ - "ㄆㄢ3" - ], - "𧺿": [ - "ㄔ4", - "ㄧ4" - ], - "𧻁": [ - "ㄑㄧㄡ3" - ], - "𧻃": [ - "ㄧㄢ2", - "ㄑㄩ4" - ], - "𧻍": [ - "ㄓㄞ3" - ], - "𧻒": [ - "ㄒㄧㄢ4" - ], - "𧻓": [ - "ㄅㄥ4" - ], - "𧻔": [ - "ㄎㄨㄤ1" - ], - "𧻕": [ - "ㄑㄧ4" - ], - "𧻖": [ - "ㄓㄡ1" - ], - "𧻗": [ - "ㄐㄩ2" - ], - "𧻘": [ - "ㄑㄧㄝ4" - ], - "𧻙": [ - "ㄇㄛ4", - "ㄆㄛ4" - ], - "𧻚": [ - "ㄩㄢ2" - ], - "𧻜": [ - "ㄍㄨㄟ4", - "ㄎㄨㄟ3" - ], - "𧻝": [ - "ㄗㄨㄟ1" - ], - "𧻧": [ - "ㄑㄧㄝ4" - ], - "𧻰": [ - "ㄏㄨ2", - "ㄗㄠ4" - ], - "𧻱": [ - "ㄑㄧㄡ2" - ], - "𧻲": [ - "ㄏㄞ2", - "ㄎㄨㄟ1" - ], - "𧻳": [ - "ㄈㄨ4" - ], - "𧻴": [ - "ㄌㄤ4" - ], - "𧻵": [ - "ㄕㄚ4" - ], - "𧻶": [ - "ㄒㄧ1" - ], - "𧻷": [ - "ㄅㄨ1" - ], - "𧻸": [ - "ㄕ4" - ], - "𧻹": [ - "ㄩㄥ3" - ], - "𧻺": [ - "ㄍㄨㄤ1", - "ㄎㄨㄤ1" - ], - "𧻼": [ - "ㄋㄧㄝ4" - ], - "𧻿": [ - "ㄏㄡ3" - ], - "𧼊": [ - "ㄇㄧ4" - ], - "𧼎": [ - "ㄜ4" - ], - "𧼏": [ - "ㄒㄧㄢ2" - ], - "𧼐": [ - "ㄩㄣ3", - "ㄑㄩㄣ1" - ], - "𧼑": [ - "ㄒㄩ4" - ], - "𧼒": [ - "ㄑㄧㄣ3" - ], - "𧼓": [ - "ㄉㄨㄥ1" - ], - "𧼔": [ - "ㄌㄥ2" - ], - "𧼕": [ - "ㄑㄧ4" - ], - "𧼖": [ - "ㄌㄢ2" - ], - "𧼗": [ - "ㄈㄨ2" - ], - "𧼘": [ - "ㄑㄧ3" - ], - "𧼙": [ - "ㄔㄨㄥ3" - ], - "𧼜": [ - "ㄘㄨ4" - ], - "𧼟": [ - "ㄇㄛ4" - ], - "𧼠": [ - "ㄅㄟ1" - ], - "𧼤": [ - "ㄉㄠ4" - ], - "𧼨": [ - "ㄐㄧㄝ2", - "ㄐㄩㄝ2" - ], - "𧼩": [ - "ㄔㄨㄥ4", - "ㄉㄨㄥ4" - ], - "𧼪": [ - "ㄔ4" - ], - "𧼫": [ - "ㄩ4" - ], - "𧼬": [ - "ㄘㄨㄟ1" - ], - "𧼭": [ - "ㄙㄨ4", - "ㄙㄡ1", - "ㄙㄡ3", - "ㄑㄧㄡ4" - ], - "𧼮": [ - "ㄊㄧ4" - ], - "𧼯": [ - "ㄕㄨ4", - "ㄩ2" - ], - "𧼰": [ - "ㄓㄚ2" - ], - "𧼱": [ - "ㄈㄨ2", - "ㄅㄧ2" - ], - "𧼳": [ - "ㄔㄜ4" - ], - "𧼴": [ - "ㄈㄛ2", - "ㄓ4" - ], - "𧼵": [ - "ㄏㄡ2" - ], - "𧼶": [ - "ㄓㄚ2" - ], - "𧽄": [ - "ㄐㄧㄝ2" - ], - "𧽅": [ - "ㄓㄚ2" - ], - "𧽆": [ - "ㄓㄢ1" - ], - "𧽉": [ - "ㄧㄢ3" - ], - "𧽊": [ - "ㄏㄞ2" - ], - "𧽋": [ - "ㄨ3" - ], - "𧽌": [ - "ㄏㄨㄚ2" - ], - "𧽍": [ - "ㄉㄧㄢ1", - "ㄉㄧㄢ4" - ], - "𧽎": [ - "ㄧㄠ2" - ], - "𧽏": [ - "ㄙㄡ1" - ], - "𧽐": [ - "ㄑㄧㄢ1" - ], - "𧽑": [ - "ㄐㄧ2" - ], - "𧽒": [ - "ㄒㄩㄥ4" - ], - "𧽓": [ - "ㄑㄧ4" - ], - "𧽔": [ - "ㄐㄩㄣ1" - ], - "𧽖": [ - "ㄏㄞ2" - ], - "𧽞": [ - "ㄧㄢ3" - ], - "𧽟": [ - "ㄐㄧㄝ2" - ], - "𧽠": [ - "ㄘㄨㄟ1" - ], - "𧽢": [ - "ㄊㄨㄢ2" - ], - "𧽣": [ - "ㄓㄤ1" - ], - "𧽤": [ - "ㄆㄧㄠ1" - ], - "𧽥": [ - "ㄌㄨ4" - ], - "𧽦": [ - "ㄓ1" - ], - "𧽧": [ - "ㄔㄨ4" - ], - "𧽨": [ - "ㄇㄧ4" - ], - "𧽩": [ - "ㄑㄧㄤ1" - ], - "𧽫": [ - "ㄌㄧㄢ4" - ], - "𧽲": [ - "ㄌㄧ4" - ], - "𧽶": [ - "ㄜ2" - ], - "𧽷": [ - "ㄙㄨ4" - ], - "𧽸": [ - "ㄐㄩㄝ2", - "ㄍㄨㄟ4" - ], - "𧽻": [ - "ㄐㄩ2" - ], - "𧽼": [ - "ㄊㄢ2" - ], - "𧽽": [ - "ㄌㄧㄠ2" - ], - "𧽾": [ - "ㄙㄢ1", - "ㄘㄨㄣ2" - ], - "𧽿": [ - "ㄉㄨㄥ4" - ], - "𧾁": [ - "ㄗㄚ2" - ], - "𧾂": [ - "ㄓ2" - ], - "𧾆": [ - "ㄒㄩㄢ4" - ], - "𧾇": [ - "ㄌㄧㄥ2" - ], - "𧾊": [ - "ㄉㄥ1" - ], - "𧾍": [ - "ㄓㄢ1", - "ㄓㄢ4", - "ㄔㄢ2" - ], - "𧾎": [ - "ㄒㄩㄢ1" - ], - "𧾏": [ - "ㄑㄧㄣ3" - ], - "𧾐": [ - "ㄐㄧㄠ4" - ], - "𧾑": [ - "ㄆㄧ4" - ], - "𧾔": [ - "ㄏㄢ3" - ], - "𧾚": [ - "ㄩ2" - ], - "𧾛": [ - "ㄍㄨㄛ2" - ], - "𧾝": [ - "ㄒㄩㄣ2" - ], - "𧾠": [ - "ㄒㄩㄣ2" - ], - "𧾡": [ - "ㄔㄢ2" - ], - "𧾢": [ - "ㄐㄧㄝ2", - "ㄐㄧ2" - ], - "𧾣": [ - "ㄐㄩ2" - ], - "𧾤": [ - "ㄧㄢ3" - ], - "𧾥": [ - "ㄉㄨ2" - ], - "𧾧": [ - "ㄏㄨㄥ4" - ], - "𧾨": [ - "ㄒㄧㄢ4", - "ㄒㄧㄢ3" - ], - "𧾩": [ - "ㄒㄩㄣ2", - "ㄒㄩㄢ4" - ], - "𧾮": [ - "ㄌㄧㄥ2" - ], - "𧾯": [ - "ㄐㄧㄝ2" - ], - "𧾰": [ - "ㄧ4" - ], - "𧾱": [ - "ㄑㄩ2" - ], - "𧾲": [ - "ㄍㄢ1" - ], - "𧾳": [ - "ㄈㄥ1" - ], - "𧾵": [ - "ㄐㄩㄝ2" - ], - "𧾶": [ - "ㄑㄩ1" - ], - "𧾻": [ - "ㄐㄧㄡ4" - ], - "𧾽": [ - "ㄐㄧ4" - ], - "𧾾": [ - "ㄐㄧ3" - ], - "𧿅": [ - "ㄒㄧ2" - ], - "𧿆": [ - "ㄆㄤ1" - ], - "𧿈": [ - "ㄎㄨㄤ4" - ], - "𧿉": [ - "ㄎㄨ4", - "ㄨ4" - ], - "𧿋": [ - "ㄎㄨ4" - ], - "𧿌": [ - "ㄓㄚ4" - ], - "𧿏": [ - "ㄅㄚ4" - ], - "𧿒": [ - "ㄔㄣ3" - ], - "𧿓": [ - "ㄏㄨ4" - ], - "𧿔": [ - "ㄋㄨ4" - ], - "𧿕": [ - "ㄜ2" - ], - "𧿖": [ - "ㄒㄩㄥ1" - ], - "𧿗": [ - "ㄉㄨㄣ3" - ], - "𧿘": [ - "ㄕㄥ1" - ], - "𧿙": [ - "ㄨㄢ2" - ], - "𧿚": [ - "ㄈㄣ1" - ], - "𧿝": [ - "ㄒㄧ1" - ], - "𧿞": [ - "ㄗ1" - ], - "𧿠": [ - "ㄏㄨ4", - "ㄉㄧ4" - ], - "𧿥": [ - "ㄅㄧㄝ2" - ], - "𧿧": [ - "ㄊㄨㄛ4" - ], - "𧿨": [ - "ㄅㄢ3" - ], - "𧿩": [ - "ㄍㄜ2" - ], - "𧿫": [ - "ㄎㄜ1" - ], - "𧿲": [ - "ㄓㄨㄟ4", - "ㄅㄛ2" - ], - "𧿳": [ - "ㄈㄨ2", - "ㄈㄟ4" - ], - "𧿴": [ - "ㄇㄛ4" - ], - "𧿵": [ - "ㄐㄧㄚ2" - ], - "𧿶": [ - "ㄊㄨㄛ2" - ], - "𧿷": [ - "ㄩ4" - ], - "𧿹": [ - "ㄇㄨ3" - ], - "𧿺": [ - "ㄐㄩㄝ2" - ], - "𧿻": [ - "ㄐㄩ2" - ], - "𧿼": [ - "ㄍㄨㄚ1" - ], - "𧿽": [ - "ㄆㄛ3" - ], - "𨀀": [ - "ㄋㄧ3", - "ㄋㄧㄢ3" - ], - "𨀄": [ - "ㄨㄚ3" - ], - "𨀅": [ - "ㄧㄢ3" - ], - "𨀔": [ - "ㄔㄡ3" - ], - "𨀕": [ - "ㄎㄨㄤ1" - ], - "𨀖": [ - "ㄏㄞ4" - ], - "𨀘": [ - "ㄒㄧㄤ2" - ], - "𨀙": [ - "ㄒㄧ1" - ], - "𨀛": [ - "ㄘㄨㄣ2" - ], - "𨀜": [ - "ㄊㄨㄥ1" - ], - "𨀝": [ - "ㄖㄨㄛ4" - ], - "𨀟": [ - "ㄉㄨㄛ2" - ], - "𨀠": [ - "ㄔㄜ4" - ], - "𨀤": [ - "ㄌㄟ4" - ], - "𨀥": [ - "ㄗ1" - ], - "𨀧": [ - "ㄓㄥ3" - ], - "𨀨": [ - "ㄗㄨㄛ3" - ], - "𨀫": [ - "ㄎㄤ1" - ], - "𨀬": [ - "ㄗㄞ4" - ], - "𨀮": [ - "ㄩㄢ1", - "ㄒㄩㄢ1" - ], - "𨀯": [ - "ㄑㄩㄥ2" - ], - "𨀳": [ - "ㄈㄚ2" - ], - "𨀴": [ - "ㄒㄩㄣ2" - ], - "𨀶": [ - "ㄐㄧ4" - ], - "𨀸": [ - "ㄔㄚ1" - ], - "𨁀": [ - "ㄕㄨ1", - "ㄔㄡ1" - ], - "𨁁": [ - "ㄒㄩㄢ4" - ], - "𨁂": [ - "ㄒㄧㄝ2" - ], - "𨁃": [ - "ㄊㄧ1" - ], - "𨁄": [ - "ㄏㄢ4" - ], - "𨁅": [ - "ㄒㄧㄢ1" - ], - "𨁆": [ - "ㄕㄢ1" - ], - "𨁇": [ - "ㄊㄨㄣ4" - ], - "𨁈": [ - "ㄏㄤ2", - "ㄍㄥ1" - ], - "𨁉": [ - "ㄎㄨㄣ3" - ], - "𨁊": [ - "ㄘㄣ2" - ], - "𨁋": [ - "ㄉㄡ1" - ], - "𨁌": [ - "ㄋㄨㄛ2" - ], - "𨁍": [ - "ㄧㄢ4" - ], - "𨁎": [ - "ㄔㄥ2", - "ㄐㄧㄥ4" - ], - "𨁏": [ - "ㄆㄨ1" - ], - "𨁐": [ - "ㄑㄧ4" - ], - "𨁑": [ - "ㄩㄝ4" - ], - "𨁒": [ - "ㄈㄨ1" - ], - "𨁗": [ - "ㄊㄧㄥ3" - ], - "𨁟": [ - "ㄨㄛ3" - ], - "𨁠": [ - "ㄕㄥ1" - ], - "𨁡": [ - "ㄊㄨㄛ3" - ], - "𨁴": [ - "ㄊㄢ3" - ], - "𨁶": [ - "ㄧㄚ3", - "ㄧㄚ1" - ], - "𨁷": [ - "ㄓ4" - ], - "𨁸": [ - "ㄌㄨ4", - "ㄌㄧ4" - ], - "𨁹": [ - "ㄧㄢ3" - ], - "𨁺": [ - "ㄐㄩ1" - ], - "𨁽": [ - "ㄉㄜ2" - ], - "𨁿": [ - "ㄔㄨ4", - "ㄓㄨㄛ2" - ], - "𨂀": [ - "ㄗㄨ3" - ], - "𨂁": [ - "ㄜ4" - ], - "𨂂": [ - "ㄓ2", - "ㄒㄩㄝ3" - ], - "𨂃": [ - "ㄆㄥ2" - ], - "𨂅": [ - "ㄅㄧㄝ1" - ], - "𨂇": [ - "ㄉㄧ3" - ], - "𨂐": [ - "ㄌㄞ2" - ], - "𨂒": [ - "ㄧㄝ4" - ], - "𨂜": [ - "ㄏㄠ2" - ], - "𨂝": [ - "ㄆㄢ2" - ], - "𨂞": [ - "ㄊㄢ4" - ], - "𨂟": [ - "ㄎㄤ1" - ], - "𨂠": [ - "ㄒㄩ1", - "ㄌㄩ3" - ], - "𨂡": [ - "ㄗㄡ4" - ], - "𨂢": [ - "ㄐㄧ2" - ], - "𨂣": [ - "ㄨ4" - ], - "𨂦": [ - "ㄔㄨㄢ4" - ], - "𨂩": [ - "ㄆㄛ4" - ], - "𨂪": [ - "ㄧㄢ3" - ], - "𨂫": [ - "ㄊㄨㄛ4" - ], - "𨂭": [ - "ㄉㄨ2" - ], - "𨂯": [ - "ㄆㄧㄢ2" - ], - "𨂰": [ - "ㄔ4" - ], - "𨂱": [ - "ㄏㄨㄣ4" - ], - "𨂲": [ - "ㄆㄧㄥ1" - ], - "𨂴": [ - "ㄘㄨㄥ1" - ], - "𨂵": [ - "ㄓㄚ3" - ], - "𨂺": [ - "ㄨㄢ1" - ], - "𨂿": [ - "ㄨㄞ3" - ], - "𨃃": [ - "ㄜ4" - ], - "𨃄": [ - "ㄨㄟ4" - ], - "𨃅": [ - "ㄅㄞ1" - ], - "𨃇": [ - "ㄐㄧㄤ1" - ], - "𨃓": [ - "ㄔㄚ2" - ], - "𨃕": [ - "ㄔㄨ4" - ], - "𨃖": [ - "ㄎㄨㄚ4" - ], - "𨃗": [ - "ㄊㄥ2" - ], - "𨃘": [ - "ㄗㄡ1", - "ㄑㄩ1" - ], - "𨃙": [ - "ㄌㄧ4" - ], - "𨃚": [ - "ㄊㄚ4" - ], - "𨃛": [ - "ㄙㄚ4" - ], - "𨃞": [ - "ㄆㄢ2" - ], - "𨃟": [ - "ㄆㄢ2" - ], - "𨃣": [ - "ㄙㄠ4" - ], - "𨃤": [ - "ㄑㄧㄠ1", - "ㄎㄠ4" - ], - "𨃭": [ - "ㄗㄨ2" - ], - "𨃯": [ - "ㄓ4" - ], - "𨃰": [ - "ㄧㄢ3" - ], - "𨃲": [ - "ㄐㄧㄝ2" - ], - "𨃳": [ - "ㄋㄥ2" - ], - "𨄄": [ - "ㄌㄨㄢ2" - ], - "𨄅": [ - "ㄑㄩ1" - ], - "𨄇": [ - "ㄉㄥ4", - "ㄊㄥ2" - ], - "𨄈": [ - "ㄌㄧㄤ2" - ], - "𨄉": [ - "ㄔㄢ3" - ], - "𨄊": [ - "ㄑㄧㄝ4" - ], - "𨄋": [ - "ㄌㄡ4" - ], - "𨄌": [ - "ㄉㄧㄝ2", - "ㄒㄧㄝ4" - ], - "𨄍": [ - "ㄘㄨㄟ1" - ], - "𨄐": [ - "ㄐㄧ3" - ], - "𨄓": [ - "ㄔㄠ2" - ], - "𨄔": [ - "ㄕㄨㄢ4" - ], - "𨄕": [ - "ㄗㄨ2" - ], - "𨄗": [ - "ㄎㄤ1" - ], - "𨄚": [ - "ㄑㄧㄤ1" - ], - "𨄛": [ - "ㄌㄧ2" - ], - "𨄮": [ - "ㄕㄨㄞ1" - ], - "𨄯": [ - "ㄩ4" - ], - "𨄰": [ - "ㄓㄤ1" - ], - "𨄱": [ - "ㄌㄟ3" - ], - "𨅅": [ - "ㄆㄛ2" - ], - "𨅊": [ - "ㄓㄜ2", - "ㄔㄜ4" - ], - "𨅋": [ - "ㄒㄧㄠ4" - ], - "𨅍": [ - "ㄊㄢ3" - ], - "𨅎": [ - "ㄘㄨㄟ4" - ], - "𨅏": [ - "ㄌㄢ2" - ], - "𨅑": [ - "ㄒㄩ1" - ], - "𨅒": [ - "ㄕㄨ4", - "ㄔㄨ2" - ], - "𨅓": [ - "ㄓㄚ3", - "ㄉㄚ2" - ], - "𨅔": [ - "ㄘㄢ2" - ], - "𨅗": [ - "ㄅㄧ3" - ], - "𨅘": [ - "ㄆㄥ4" - ], - "𨅝": [ - "ㄔㄥ2" - ], - "𨅣": [ - "ㄑㄧㄠ2" - ], - "𨅤": [ - "ㄐㄧ1" - ], - "𨅪": [ - "ㄓㄞ1" - ], - "𨅬": [ - "ㄌㄢ2" - ], - "𨆁": [ - "ㄊㄧㄢ3", - "ㄧㄢ3" - ], - "𨆂": [ - "ㄙㄚ4" - ], - "𨆃": [ - "ㄐㄧㄣ1" - ], - "𨆄": [ - "ㄓㄨ4" - ], - "𨆅": [ - "ㄉㄨㄛ4" - ], - "𨆇": [ - "ㄔㄚ4" - ], - "𨆈": [ - "ㄐㄩㄢ4" - ], - "𨆉": [ - "ㄊㄤ2" - ], - "𨆊": [ - "ㄅㄥ4" - ], - "𨆌": [ - "ㄈㄢ2" - ], - "𨆍": [ - "ㄌㄧㄝ4" - ], - "𨆎": [ - "ㄗㄟ2" - ], - "𨆏": [ - "ㄙㄨㄟ4" - ], - "𨆙": [ - "ㄙㄜ4" - ], - "𨆧": [ - "ㄓ4" - ], - "𨆨": [ - "ㄊㄨㄟ2" - ], - "𨆪": [ - "ㄑㄧㄥ1" - ], - "𨆬": [ - "ㄔㄨㄛ4" - ], - "𨆰": [ - "ㄊㄚ4", - "ㄉㄚ4" - ], - "𨆱": [ - "ㄅㄧㄥ4" - ], - "𨆲": [ - "ㄨㄣ3" - ], - "𨆵": [ - "ㄆㄛ3" - ], - "𨆽": [ - "ㄇㄛ2" - ], - "𨆾": [ - "ㄘㄚ1" - ], - "𨇁": [ - "ㄎㄨㄤ4" - ], - "𨇃": [ - "ㄘㄨㄛ2", - "ㄗㄨㄢ1" - ], - "𨇄": [ - "ㄖㄠ3" - ], - "𨇅": [ - "ㄅㄠ4" - ], - "𨇆": [ - "ㄌㄞ4" - ], - "𨇍": [ - "ㄋㄧㄢ3" - ], - "𨇎": [ - "ㄌㄧ2" - ], - "𨇕": [ - "ㄐㄧㄠ3" - ], - "𨇖": [ - "ㄌㄨ2" - ], - "𨇗": [ - "ㄌㄧ4" - ], - "𨇘": [ - "ㄌㄨㄥ2" - ], - "𨇙": [ - "ㄍㄨㄟ4" - ], - "𨇝": [ - "ㄔㄢ3" - ], - "𨇤": [ - "ㄒㄧㄢ1" - ], - "𨇦": [ - "ㄔㄢ4" - ], - "𨇨": [ - "ㄒㄧㄝ4" - ], - "𨇩": [ - "ㄓㄢ4" - ], - "𨇯": [ - "ㄕㄨㄤ1" - ], - "𨇻": [ - "ㄇㄧ3" - ], - "𨇼": [ - "ㄌㄨㄢ2" - ], - "𨇽": [ - "ㄌㄨㄛ4" - ], - "𨈀": [ - "ㄉㄧㄢ1" - ], - "𨈈": [ - "ㄉㄧㄝ2" - ], - "𨈊": [ - "ㄨㄢ1" - ], - "𨈋": [ - "ㄩㄝ4" - ], - "𨈌": [ - "ㄌㄨㄢ2" - ], - "𨈎": [ - "ㄌㄨㄢ2" - ], - "𨈓": [ - "ㄌㄥ2" - ], - "𨈕": [ - "ㄨㄞ3" - ], - "𨈖": [ - "ㄉㄧㄣ4" - ], - "𨈗": [ - "ㄋㄣ4" - ], - "𨈘": [ - "ㄕㄠ3" - ], - "𨈙": [ - "ㄒㄧㄝ4", - "ㄓ1" - ], - "𨈚": [ - "ㄆㄧ2" - ], - "𨈥": [ - "ㄇㄠ2" - ], - "𨈧": [ - "ㄧㄣ3" - ], - "𨈩": [ - "ㄅㄛ2" - ], - "𨈫": [ - "ㄓㄨ4" - ], - "𨈮": [ - "ㄔㄨㄥ1" - ], - "𨈶": [ - "ㄇㄨ3" - ], - "𨈷": [ - "ㄊㄨㄛ2" - ], - "𨈹": [ - "ㄊㄨㄥ3" - ], - "𨈺": [ - "ㄧㄝ2" - ], - "𨉁": [ - "ㄏㄨㄤ4" - ], - "𨉃": [ - "ㄖㄣ4" - ], - "𨉅": [ - "ㄧㄝ4" - ], - "𨉋": [ - "ㄊㄨㄛ1" - ], - "𨉖": [ - "ㄗㄨㄢ1" - ], - "𨉗": [ - "ㄩ4" - ], - "𨉚": [ - "ㄚ1" - ], - "𨉜": [ - "ㄓㄡ1" - ], - "𨉝": [ - "ㄨㄢ1" - ], - "𨉡": [ - "ㄉㄨㄛ3" - ], - "𨉢": [ - "ㄓㄨㄥ4" - ], - "𨉣": [ - "ㄏㄚ1" - ], - "𨉤": [ - "ㄏㄨㄤ2" - ], - "𨉥": [ - "ㄇㄧㄢ4", - "ㄊㄧ3" - ], - "𨉩": [ - "ㄔㄨㄣ1" - ], - "𨉪": [ - "ㄑㄧㄝ4" - ], - "𨉫": [ - "ㄍㄨㄥ1", - "ㄑㄩㄥ1" - ], - "𨉬": [ - "ㄊㄧㄥ2" - ], - "𨉭": [ - "ㄇㄟ2" - ], - "𨉱": [ - "ㄊㄤ4" - ], - "𨉴": [ - "ㄖㄨㄥ2" - ], - "𨉷": [ - "ㄖㄨㄥ2" - ], - "𨉸": [ - "ㄑㄧ2" - ], - "𨉹": [ - "ㄍㄨㄛ2" - ], - "𨉽": [ - "ㄒㄧㄤ4" - ], - "𨉾": [ - "ㄊㄧㄢ2" - ], - "𨊅": [ - "ㄒㄧㄠ1" - ], - "𨊈": [ - "ㄓㄢ1" - ], - "𨊉": [ - "ㄘㄨㄟ4" - ], - "𨊔": [ - "ㄌㄢ2" - ], - "𨊘": [ - "ㄕㄣ1", - "ㄑㄩ1" - ], - "𨊚": [ - "ㄌㄟ3" - ], - "𨊛": [ - "ㄌㄧ4" - ], - "𨊝": [ - "ㄔㄢ1" - ], - "𨊞": [ - "ㄋㄧㄝ4" - ], - "𨊟": [ - "ㄌㄨㄢ2" - ], - "𨊡": [ - "ㄊㄧㄥ1" - ], - "𨊢": [ - "ㄏㄨㄟ4", - "ㄕㄠ2" - ], - "𨊧": [ - "ㄍㄨㄥ1" - ], - "𨊰": [ - "ㄑㄧ4" - ], - "𨊱": [ - "ㄩ2" - ], - "𨊳": [ - "ㄒㄧㄣ1" - ], - "𨊸": [ - "ㄩㄝ4" - ], - "𨊹": [ - "ㄅㄚ1" - ], - "𨊺": [ - "ㄉㄞ4" - ], - "𨊻": [ - "ㄐㄧ1" - ], - "𨊼": [ - "ㄒㄩㄢ4" - ], - "𨊿": [ - "ㄐㄩㄝ2" - ], - "𨋀": [ - "ㄋㄧㄡ3" - ], - "𨋈": [ - "ㄉㄨ4" - ], - "𨋉": [ - "ㄐㄧ2" - ], - "𨋐": [ - "ㄆㄚ1" - ], - "𨋑": [ - "ㄍㄨㄥ3" - ], - "𨋒": [ - "ㄅㄣ4" - ], - "𨋔": [ - "ㄎㄥ1", - "ㄐㄩ2" - ], - "𨋕": [ - "ㄧㄤ4", - "ㄤ3" - ], - "𨋖": [ - "ㄌㄧㄡ3" - ], - "𨋗": [ - "ㄋㄧ2" - ], - "𨋘": [ - "ㄓㄚ4" - ], - "𨋙": [ - "ㄧㄣ4" - ], - "𨋚": [ - "ㄋㄧㄢ3", - "ㄖㄨㄢ3" - ], - "𨋛": [ - "ㄆㄠ4" - ], - "𨋝": [ - "ㄍㄨㄥ1" - ], - "𨋞": [ - "ㄅㄨ4" - ], - "𨋟": [ - "ㄏㄜ2" - ], - "𨋠": [ - "ㄖㄨㄥ3" - ], - "𨋡": [ - "ㄍㄨㄟ4" - ], - "𨋥": [ - "ㄅㄧ4" - ], - "𨋦": [ - "ㄒㄧ1" - ], - "𨋧": [ - "ㄐㄩ2" - ], - "𨋨": [ - "ㄏㄨㄣ2" - ], - "𨋩": [ - "ㄅㄧ4", - "ㄈㄨ2" - ], - "𨋫": [ - "ㄊㄧㄠ1" - ], - "𨋬": [ - "ㄓㄥ3", - "ㄔㄥ4" - ], - "𨋮": [ - "ㄏㄨㄥ1", - "ㄔㄨㄣ1" - ], - "𨋯": [ - "ㄧ4" - ], - "𨋰": [ - "ㄘ4" - ], - "𨋲": [ - "ㄅㄧㄥ4" - ], - "𨋷": [ - "ㄍㄨㄥ1" - ], - "𨋺": [ - "ㄈㄚ2" - ], - "𨋽": [ - "ㄧㄤ2" - ], - "𨋾": [ - "ㄒㄩ3" - ], - "𨌁": [ - "ㄏㄨㄥ1" - ], - "𨌄": [ - "ㄗㄤ4" - ], - "𨌅": [ - "ㄔㄞ2" - ], - "𨌆": [ - "ㄏㄨㄥ2" - ], - "𨌈": [ - "ㄊㄧㄢ2" - ], - "𨌌": [ - "ㄓ1" - ], - "𨌍": [ - "ㄒㄧㄥ1" - ], - "𨌎": [ - "ㄒㄩ2" - ], - "𨌑": [ - "ㄓㄣ4" - ], - "𨌔": [ - "ㄨㄢ3", - "ㄨㄢ4" - ], - "𨌘": [ - "ㄐㄩㄣ4" - ], - "𨌝": [ - "ㄨㄛ4", - "ㄏㄨㄛ4" - ], - "𨌠": [ - "ㄌㄨ4" - ], - "𨌢": [ - "ㄓㄥ1" - ], - "𨌣": [ - "ㄖㄨㄥ3" - ], - "𨌤": [ - "ㄔㄥ2", - "ㄔㄥ4" - ], - "𨌥": [ - "ㄈㄨ2" - ], - "𨌧": [ - "ㄜ4" - ], - "𨌨": [ - "ㄊㄠ1" - ], - "𨌩": [ - "ㄊㄤ2" - ], - "𨌫": [ - "ㄐㄩㄢ1" - ], - "𨌬": [ - "ㄔㄠ4" - ], - "𨌭": [ - "ㄊㄚ4" - ], - "𨌮": [ - "ㄉㄧ3" - ], - "𨌰": [ - "ㄗㄨㄥ1" - ], - "𨌳": [ - "ㄎㄥ1" - ], - "𨌴": [ - "ㄊㄨㄟ1" - ], - "𨌶": [ - "ㄎㄥ1" - ], - "𨍅": [ - "ㄖㄨㄥ3" - ], - "𨍆": [ - "ㄩㄣ1" - ], - "𨍇": [ - "ㄏㄜ2" - ], - "𨍈": [ - "ㄗㄨㄥ3" - ], - "𨍉": [ - "ㄘㄨㄥ1", - "ㄗㄨㄥ3" - ], - "𨍊": [ - "ㄑㄧㄡ1" - ], - "𨍎": [ - "ㄇㄨ4" - ], - "𨍏": [ - "ㄉㄨㄛ2" - ], - "𨍐": [ - "ㄒㄩ3" - ], - "𨍑": [ - "ㄎㄥ1" - ], - "𨍒": [ - "ㄒㄧㄢ4", - "ㄐㄧㄢ4" - ], - "𨍛": [ - "ㄉㄨ2" - ], - "𨍜": [ - "ㄎㄢ3" - ], - "𨍞": [ - "ㄧㄥ1" - ], - "𨍢": [ - "ㄗ1" - ], - "𨍧": [ - "ㄏㄨㄤ2" - ], - "𨍩": [ - "ㄆㄥ2" - ], - "𨍫": [ - "ㄌㄧ4" - ], - "𨍭": [ - "ㄅㄛ2", - "ㄆㄛ4" - ], - "𨍮": [ - "ㄍㄜ2", - "ㄌㄧ4" - ], - "𨍯": [ - "ㄐㄩ2" - ], - "𨍰": [ - "ㄎㄜ1" - ], - "𨍲": [ - "ㄏㄨ2", - "ㄍㄨㄣ3" - ], - "𨍳": [ - "ㄧㄠ2" - ], - "𨍴": [ - "ㄊㄤ2" - ], - "𨍶": [ - "ㄑㄩㄥ2" - ], - "𨍷": [ - "ㄖㄨㄥ3" - ], - "𨍸": [ - "ㄌㄧㄡ3" - ], - "𨍹": [ - "ㄏㄨㄟ4" - ], - "𨍺": [ - "ㄐㄧ1" - ], - "𨎉": [ - "ㄓ4" - ], - "𨎋": [ - "ㄊㄤ2", - "ㄔㄥ1" - ], - "𨎌": [ - "ㄓ3" - ], - "𨎍": [ - "ㄎㄤ1", - "ㄌㄧㄤ2" - ], - "𨎔": [ - "ㄧㄤ4" - ], - "𨎖": [ - "ㄊㄤ3", - "ㄔㄤ3" - ], - "𨎗": [ - "ㄏㄨㄥ1" - ], - "𨎛": [ - "ㄌㄧㄤ2" - ], - "𨎝": [ - "ㄘㄠ2" - ], - "𨎡": [ - "ㄋㄞ3" - ], - "𨎢": [ - "ㄗㄨㄥ3" - ], - "𨎤": [ - "ㄉㄥ4" - ], - "𨎦": [ - "ㄐㄧㄠ1" - ], - "𨎧": [ - "ㄆㄥ2" - ], - "𨎩": [ - "ㄍㄨㄤ1" - ], - "𨎪": [ - "ㄦ2" - ], - "𨎫": [ - "ㄐㄧㄢ4" - ], - "𨎬": [ - "ㄐㄧㄠ4" - ], - "𨎭": [ - "ㄋㄨㄛ2" - ], - "𨎮": [ - "ㄗㄠ3" - ], - "𨎳": [ - "ㄆㄥ2" - ], - "𨎴": [ - "ㄉㄤ1" - ], - "𨎶": [ - "ㄑㄩ2" - ], - "𨎷": [ - "ㄌㄧㄢ2" - ], - "𨎸": [ - "ㄇㄨ4" - ], - "𨎹": [ - "ㄌㄢ3" - ], - "𨎾": [ - "ㄈㄣ2" - ], - "𨏂": [ - "ㄏㄨㄣ2", - "ㄒㄩㄢ1" - ], - "𨏆": [ - "ㄎㄨㄤ1" - ], - "𨏈": [ - "ㄧㄣ3" - ], - "𨏉": [ - "ㄕㄨㄢ4" - ], - "𨏊": [ - "ㄐㄧㄢ4" - ], - "𨏒": [ - "ㄌㄨㄛ4", - "ㄌㄟ2" - ], - "𨏔": [ - "ㄌㄨ4", - "ㄉㄨ2" - ], - "𨏚": [ - "ㄍㄜ2" - ], - "𨏛": [ - "ㄖㄤ3", - "ㄋㄧㄢ3" - ], - "𨏞": [ - "ㄆㄧㄣ2" - ], - "𨏠": [ - "ㄌㄨㄥ2" - ], - "𨏤": [ - "ㄓㄣ3" - ], - "𨏥": [ - "ㄒㄧㄢ4" - ], - "𨏨": [ - "ㄌㄧㄣ4" - ], - "𨏩": [ - "ㄌㄧㄢ2" - ], - "𨏪": [ - "ㄕㄢ1" - ], - "𨏫": [ - "ㄅㄛ2" - ], - "𨏬": [ - "ㄌㄧ4" - ], - "𨏳": [ - "ㄒㄧㄝ2" - ], - "𨏴": [ - "ㄍㄜ2" - ], - "𨏵": [ - "ㄇㄧㄣ3" - ], - "𨏶": [ - "ㄌㄧㄢ2" - ], - "𨏹": [ - "ㄐㄩㄝ2" - ], - "𨏺": [ - "ㄓㄡ1" - ], - "𨏿": [ - "ㄎㄜ1" - ], - "𨐁": [ - "ㄉㄧㄝ2" - ], - "𨐃": [ - "ㄓㄜ2" - ], - "𨐅": [ - "ㄕㄨ1" - ], - "𨐆": [ - "ㄐㄧ1" - ], - "𨐇": [ - "ㄌㄨㄥ2" - ], - "𨐈": [ - "ㄍㄨㄤ1" - ], - "𨐉": [ - "ㄗㄠ3" - ], - "𨐊": [ - "ㄒㄧㄢ4" - ], - "𨐋": [ - "ㄑㄧㄢ1" - ], - "𨐍": [ - "ㄕㄣ1" - ], - "𨐐": [ - "ㄧㄣ3" - ], - "𨐑": [ - "ㄐㄧㄝ4" - ], - "𨐔": [ - "ㄕㄣ1" - ], - "𨐕": [ - "ㄕㄣ1", - "ㄘ2" - ], - "𨐖": [ - "ㄙㄚ3" - ], - "𨐛": [ - "ㄒㄧ4" - ], - "𨐡": [ - "ㄎㄨ4" - ], - "𨐣": [ - "ㄑㄩ2" - ], - "𨐥": [ - "ㄍㄜ2" - ], - "𨐦": [ - "ㄅㄢ4" - ], - "𨐨": [ - "ㄅㄧ4" - ], - "𨐩": [ - "ㄑㄧㄢ1" - ], - "𨐰": [ - "ㄅㄧㄣ1" - ], - "𨐱": [ - "ㄅㄢ4" - ], - "𨐳": [ - "ㄗㄨㄛ4" - ], - "𨐴": [ - "ㄆㄧ4" - ], - "𨐶": [ - "ㄏㄨㄛ4" - ], - "𨐾": [ - "ㄅㄢ4", - "ㄅㄧㄢ4" - ], - "𨑊": [ - "ㄋㄨㄥ2" - ], - "𨑌": [ - "ㄔㄣ2" - ], - "𨑎": [ - "ㄆㄥ1" - ], - "𨑑": [ - "ㄈㄨ3" - ], - "𨑒": [ - "ㄊㄨ2" - ], - "𨑜": [ - "ㄆㄧ3" - ], - "𨑝": [ - "ㄆㄛ4" - ], - "𨑠": [ - "ㄔ3" - ], - "𨑣": [ - "ㄒㄩㄝ4" - ], - "𨑤": [ - "ㄑㄧ4" - ], - "𨑥": [ - "ㄨ4" - ], - "𨑨": [ - "ㄓ4" - ], - "𨑩": [ - "ㄉㄧ4" - ], - "𨑪": [ - "ㄘㄨㄥ1" - ], - "𨑫": [ - "ㄧㄡ2" - ], - "𨑹": [ - "ㄘㄨㄥ1" - ], - "𨑼": [ - "ㄉㄧ4" - ], - "𨑽": [ - "ㄓㄨㄛ2" - ], - "𨑿": [ - "ㄗㄡ3" - ], - "𨒀": [ - "ㄘㄨㄥ2" - ], - "𨒃": [ - "ㄆㄢ4" - ], - "𨒄": [ - "ㄧㄢ3" - ], - "𨒅": [ - "ㄑㄧ4" - ], - "𨒆": [ - "ㄖㄨㄥ3" - ], - "𨒇": [ - "ㄐㄧㄚ2" - ], - "𨒉": [ - "ㄓ4", - "ㄓㄨㄟ4", - "ㄙㄨㄟ4" - ], - "𨒊": [ - "ㄑㄧㄡ2" - ], - "𨒋": [ - "ㄩㄝ4" - ], - "𨒍": [ - "ㄕ4" - ], - "𨒑": [ - "ㄏㄠ2" - ], - "𨒙": [ - "ㄊㄨㄛ1", - "ㄏㄡ4" - ], - "𨒜": [ - "ㄅㄧㄝ2" - ], - "𨒞": [ - "ㄎㄢ4" - ], - "𨒢": [ - "ㄔㄨㄛ4" - ], - "𨒤": [ - "ㄘ3" - ], - "𨒦": [ - "ㄧㄣ3" - ], - "𨒧": [ - "ㄕ4" - ], - "𨒨": [ - "ㄏㄞ4" - ], - "𨒩": [ - "ㄖㄨㄢ3" - ], - "𨒫": [ - "ㄧㄤ2", - "ㄋㄧ4" - ], - "𨒬": [ - "ㄔ1" - ], - "𨒮": [ - "ㄘ1" - ], - "𨒱": [ - "ㄍㄨㄥ1" - ], - "𨒲": [ - "ㄇㄧ2", - "ㄒㄩㄝ4" - ], - "𨒴": [ - "ㄐㄧ3" - ], - "𨒼": [ - "ㄍㄣ4" - ], - "𨒽": [ - "ㄗㄠ4", - "ㄙㄨㄛ1" - ], - "𨓁": [ - "ㄅㄥ3" - ], - "𨓇": [ - "ㄒㄧㄣ3" - ], - "𨓈": [ - "ㄎㄨㄛ4" - ], - "𨓊": [ - "ㄉㄧㄝ2" - ], - "𨓍": [ - "ㄊㄧㄥ2" - ], - "𨓚": [ - "ㄕㄨㄟ4" - ], - "𨓞": [ - "ㄉㄞ4" - ], - "𨓦": [ - "ㄌㄧ3" - ], - "𨓨": [ - "ㄩㄥ3" - ], - "𨓩": [ - "ㄐㄧㄠ1" - ], - "𨓬": [ - "ㄊㄚ2" - ], - "𨓭": [ - "ㄑㄩ3", - "ㄘㄡ4" - ], - "𨓮": [ - "ㄧㄣ2" - ], - "𨓯": [ - "ㄩㄢ1" - ], - "𨓰": [ - "ㄐㄧㄝ2" - ], - "𨓲": [ - "ㄑㄧㄢ1" - ], - "𨓳": [ - "ㄧㄠ1" - ], - "𨓴": [ - "ㄧㄚ4" - ], - "𨓷": [ - "ㄑㄧㄥ1" - ], - "𨓿": [ - "ㄆㄟ2" - ], - "𨔗": [ - "ㄐㄧㄚ1" - ], - "𨔙": [ - "ㄊㄡ4" - ], - "𨔛": [ - "ㄊㄧ1" - ], - "𨔡": [ - "ㄉㄨㄣ4", - "ㄊㄨㄣ2", - "ㄔㄨㄢ4", - "ㄔㄨㄢ2" - ], - "𨔢": [ - "ㄔㄢ3" - ], - "𨔣": [ - "ㄐㄧㄚ1", - "ㄐㄧㄚ4" - ], - "𨔤": [ - "ㄔ4" - ], - "𨔥": [ - "ㄐㄧㄢ1", - "ㄐㄧㄣ1" - ], - "𨔦": [ - "ㄕㄨ4" - ], - "𨔯": [ - "ㄊㄚ4" - ], - "𨕕": [ - "ㄓ1" - ], - "𨕗": [ - "ㄩㄢ2" - ], - "𨕚": [ - "ㄏㄨ1" - ], - "𨕜": [ - "ㄌㄧㄝ4" - ], - "𨕠": [ - "ㄗㄜ2" - ], - "𨕢": [ - "ㄔㄨ4" - ], - "𨕦": [ - "ㄑㄧㄡ4" - ], - "𨕧": [ - "ㄅㄥ1" - ], - "𨕹": [ - "ㄏㄨㄢ2" - ], - "𨕺": [ - "ㄎㄨㄚ1" - ], - "𨕻": [ - "ㄕㄥ1" - ], - "𨕽": [ - "ㄐㄧㄝ2" - ], - "𨕿": [ - "ㄨㄤ3" - ], - "𨖃": [ - "ㄏㄨ1" - ], - "𨖊": [ - "ㄗㄜ2", - "ㄐㄧ1" - ], - "𨖋": [ - "ㄗㄢ3", - "ㄓ4" - ], - "𨖌": [ - "ㄧㄤ4" - ], - "𨖎": [ - "ㄔ3" - ], - "𨖏": [ - "ㄐㄧㄡ4" - ], - "𨖚": [ - "ㄌㄧㄠ2" - ], - "𨖛": [ - "ㄩ1" - ], - "𨖠": [ - "ㄅㄧㄢ3", - "ㄅㄧㄢ4" - ], - "𨖢": [ - "ㄎㄨㄤ2" - ], - "𨖬": [ - "ㄔㄡ4" - ], - "𨖭": [ - "ㄧㄚ2" - ], - "𨖮": [ - "ㄓㄨㄛ2" - ], - "𨖰": [ - "ㄑㄧㄝ4" - ], - "𨖱": [ - "ㄒㄧㄢ4" - ], - "𨖳": [ - "ㄩㄢ1" - ], - "𨖴": [ - "ㄨ3" - ], - "𨖵": [ - "ㄐㄧㄠ3" - ], - "𨖶": [ - "ㄒㄧㄤ4" - ], - "𨖷": [ - "ㄕㄚ4" - ], - "𨖹": [ - "ㄓ4" - ], - "𨖼": [ - "ㄔㄨㄥ4" - ], - "𨖾": [ - "ㄅㄧㄢ1" - ], - "𨖿": [ - "ㄨㄟ1" - ], - "𨗓": [ - "ㄉㄠ4" - ], - "𨗝": [ - "ㄩ4", - "ㄐㄩ2" - ], - "𨗞": [ - "ㄊㄨㄟ2" - ], - "𨗡": [ - "ㄔㄠ4" - ], - "𨗥": [ - "ㄏㄨㄟ4" - ], - "𨗦": [ - "ㄑㄧㄢ3" - ], - "𨗨": [ - "ㄨㄟ3" - ], - "𨗰": [ - "ㄧㄡ2" - ], - "𨗼": [ - "ㄉㄧ4", - "ㄉㄞ4" - ], - "𨗾": [ - "ㄉㄚ4" - ], - "𨘁": [ - "ㄧㄡ2" - ], - "𨘂": [ - "ㄐㄧㄡ4" - ], - "𨘃": [ - "ㄊㄨㄟ2" - ], - "𨘄": [ - "ㄗㄢ3" - ], - "𨘇": [ - "ㄏㄨㄟ4" - ], - "𨘉": [ - "ㄕㄚ4" - ], - "𨘌": [ - "ㄏㄨㄛ4" - ], - "𨘔": [ - "ㄧㄠ2" - ], - "𨘙": [ - "ㄒㄧㄢ4" - ], - "𨘞": [ - "ㄒㄧㄢ4" - ], - "𨘬": [ - "ㄉㄧ4" - ], - "𨘮": [ - "ㄐㄧㄡ4" - ], - "𨘲": [ - "ㄏㄨㄟ4" - ], - "𨘴": [ - "ㄎㄠ4" - ], - "𨘵": [ - "ㄧㄡ2" - ], - "𨘸": [ - "ㄌㄧ4" - ], - "𨘼": [ - "ㄔㄨㄢ2" - ], - "𨘾": [ - "ㄔ2" - ], - "𨙀": [ - "ㄏㄨㄛ4" - ], - "𨙂": [ - "ㄧㄡ2" - ], - "𨙄": [ - "ㄩㄝ4" - ], - "𨙎": [ - "ㄊㄚ4" - ], - "𨙏": [ - "ㄗㄢ4" - ], - "𨙓": [ - "ㄋㄧㄝ4" - ], - "𨙔": [ - "ㄓㄨ4" - ], - "𨙡": [ - "ㄒㄧㄢ3" - ], - "𨙩": [ - "ㄕ2" - ], - "𨙫": [ - "ㄎㄡ3" - ], - "𨙬": [ - "ㄑㄧ3" - ], - "𨙭": [ - "ㄊㄨ3" - ], - "𨙮": [ - "ㄈㄢ2" - ], - "𨙯": [ - "ㄘㄨㄣ1" - ], - "𨙲": [ - "ㄊㄨㄣ2", - "ㄘㄨㄣ1" - ], - "𨙳": [ - "ㄔㄚ1" - ], - "𨙴": [ - "ㄘㄞ2", - "ㄗㄞ4" - ], - "𨙵": [ - "ㄒㄧㄤ4" - ], - "𨙶": [ - "ㄆㄟ4" - ], - "𨙷": [ - "ㄐㄧㄥ3" - ], - "𨙸": [ - "ㄑㄧ2", - "ㄓ1" - ], - "𨙹": [ - "ㄕㄠ3" - ], - "𨙺": [ - "ㄋㄧㄡ3" - ], - "𨙻": [ - "ㄋㄚ4" - ], - "𨙽": [ - "ㄑㄧㄣ2" - ], - "𨚍": [ - "ㄅㄧ4", - "ㄅㄟ4" - ], - "𨚓": [ - "ㄅㄧ4", - "ㄈㄟ4", - "ㄈㄨ2" - ], - "𨚔": [ - "ㄅㄠ1" - ], - "𨚕": [ - "ㄅㄧㄢ4" - ], - "𨚖": [ - "ㄗ1" - ], - "𨚗": [ - "ㄋㄚ4" - ], - "𨚘": [ - "ㄨㄟ4" - ], - "𨚙": [ - "ㄏㄠ2" - ], - "𨚡": [ - "ㄐㄧㄣ3" - ], - "𨚣": [ - "ㄓㄥ4" - ], - "𨚧": [ - "ㄑㄧㄝ2" - ], - "𨚮": [ - "ㄏㄠ4" - ], - "𨚯": [ - "ㄊㄨㄥ2" - ], - "𨚰": [ - "ㄗㄠ3" - ], - "𨚱": [ - "ㄕㄥ4" - ], - "𨚲": [ - "ㄘㄨㄣ2" - ], - "𨚳": [ - "ㄏㄨㄤ1" - ], - "𨚴": [ - "ㄖㄨ2" - ], - "𨚵": [ - "ㄗㄞ4" - ], - "𨚶": [ - "ㄋㄧㄢ2" - ], - "𨚾": [ - "ㄒㄧㄢ1" - ], - "𨛈": [ - "ㄑㄩㄢ2" - ], - "𨛉": [ - "ㄐㄧ4" - ], - "𨛊": [ - "ㄧㄣ2" - ], - "𨛋": [ - "ㄌㄧ3" - ], - "𨛌": [ - "ㄇㄤ2" - ], - "𨛍": [ - "ㄕㄠ4" - ], - "𨛎": [ - "ㄏㄢ4" - ], - "𨛏": [ - "ㄘㄨㄛ4" - ], - "𨛐": [ - "ㄐㄩㄣ4" - ], - "𨛑": [ - "ㄐㄧ4" - ], - "𨛒": [ - "ㄅㄨ4" - ], - "𨛓": [ - "ㄌㄨㄥ4" - ], - "𨛔": [ - "ㄈㄡ3" - ], - "𨛕": [ - "ㄧㄡ2" - ], - "𨛖": [ - "ㄎㄨㄞ4" - ], - "𨛜": [ - "ㄒㄧㄤ4" - ], - "𨛡": [ - "ㄩㄣ2" - ], - "𨛣": [ - "ㄑㄧㄣ2" - ], - "𨛤": [ - "ㄏㄨㄟ2" - ], - "𨛥": [ - "ㄆㄨ2" - ], - "𨛫": [ - "ㄌㄧ2" - ], - "𨛬": [ - "ㄆㄟ2" - ], - "𨛭": [ - "ㄕㄨ1", - "ㄕㄜ4" - ], - "𨛮": [ - "ㄐㄩ1" - ], - "𨛯": [ - "ㄧ2" - ], - "𨛰": [ - "ㄓㄥ1" - ], - "𨛱": [ - "ㄔㄨㄥ2" - ], - "𨛳": [ - "ㄒㄧ2", - "ㄐㄧ2" - ], - "𨛵": [ - "ㄏㄨ3" - ], - "𨛶": [ - "ㄖㄡ2", - "ㄕㄡ4" - ], - "𨜌": [ - "ㄏㄨㄢ4" - ], - "𨜍": [ - "ㄑㄧㄠ4" - ], - "𨜎": [ - "ㄓ1" - ], - "𨜏": [ - "ㄧㄥ2" - ], - "𨜐": [ - "ㄒㄧ3" - ], - "𨜑": [ - "ㄑㄧㄠ1" - ], - "𨜒": [ - "ㄐㄧ4" - ], - "𨜓": [ - "ㄓㄥ1" - ], - "𨜔": [ - "ㄏㄨㄤ2" - ], - "𨜖": [ - "ㄩ2" - ], - "𨜗": [ - "ㄗㄡ1" - ], - "𨜘": [ - "ㄇㄟ2" - ], - "𨜜": [ - "ㄕㄥ3" - ], - "𨜩": [ - "ㄑㄩㄢ2" - ], - "𨜰": [ - "ㄐㄧㄤ1" - ], - "𨜱": [ - "ㄏㄜ2" - ], - "𨜳": [ - "ㄊㄨㄥ2" - ], - "𨜴": [ - "ㄏㄜ2" - ], - "𨜵": [ - "ㄨㄣ1" - ], - "𨜶": [ - "ㄧ4" - ], - "𨜷": [ - "ㄆㄤ2" - ], - "𨜺": [ - "ㄨㄥ1" - ], - "𨜻": [ - "ㄑㄧㄢ2" - ], - "𨜼": [ - "ㄌㄧ4" - ], - "𨜽": [ - "ㄧ2" - ], - "𨜾": [ - "ㄔㄨㄤ4" - ], - "𨜿": [ - "ㄒㄩ4" - ], - "𨝀": [ - "ㄨㄟ3" - ], - "𨝆": [ - "ㄍㄜ1" - ], - "𨝈": [ - "ㄩ3" - ], - "𨝋": [ - "ㄓㄞ4" - ], - "𨝌": [ - "ㄍㄢ1" - ], - "𨝍": [ - "ㄑㄧㄢ1" - ], - "𨝎": [ - "ㄎㄤ1" - ], - "𨝏": [ - "ㄌㄧ2" - ], - "𨝐": [ - "ㄕㄣ1" - ], - "𨝑": [ - "ㄍㄨㄢ4" - ], - "𨝓": [ - "ㄆㄧㄠ2" - ], - "𨝖": [ - "ㄌㄧ2" - ], - "𨝘": [ - "ㄏㄨ3" - ], - "𨝛": [ - "ㄊㄨ2" - ], - "𨝜": [ - "ㄕㄨㄣ4" - ], - "𨝞": [ - "ㄏㄨ4" - ], - "𨝟": [ - "ㄌㄧ2" - ], - "𨝢": [ - "ㄌㄡ4" - ], - "𨝦": [ - "ㄉㄤ4" - ], - "𨝨": [ - "ㄗㄨㄛ4" - ], - "𨝩": [ - "ㄕㄢ1" - ], - "𨝫": [ - "ㄕㄜ4", - "ㄒㄧ4" - ], - "𨝭": [ - "ㄈㄥ2" - ], - "𨝮": [ - "ㄐㄩ4", - "ㄗㄡ1" - ], - "𨝯": [ - "ㄊㄨㄥ2" - ], - "𨝰": [ - "ㄐㄧㄠ3" - ], - "𨝱": [ - "ㄑㄧㄠ2" - ], - "𨝲": [ - "ㄍㄠ1", - "ㄏㄠ4" - ], - "𨝳": [ - "ㄗ1" - ], - "𨝴": [ - "ㄏㄨㄤ2" - ], - "𨝵": [ - "ㄕㄢ1" - ], - "𨝸": [ - "ㄊㄢ2" - ], - "𨞌": [ - "ㄊㄨㄛ1" - ], - "𨞎": [ - "ㄌㄧㄥ4" - ], - "𨞐": [ - "ㄔㄥ2" - ], - "𨞑": [ - "ㄨㄥ4" - ], - "𨞒": [ - "ㄗㄨㄛ2" - ], - "𨞓": [ - "ㄩ4" - ], - "𨞕": [ - "ㄓㄨ2", - "ㄔㄨ4" - ], - "𨞗": [ - "ㄑㄩㄣ2" - ], - "𨞘": [ - "ㄒㄧ3" - ], - "𨞙": [ - "ㄑㄩ2" - ], - "𨞛": [ - "ㄍㄜ2" - ], - "𨞢": [ - "ㄑㄧ1" - ], - "𨞣": [ - "ㄒㄩ1" - ], - "𨞨": [ - "ㄍㄞ4" - ], - "𨞩": [ - "ㄑㄩㄝ4" - ], - "𨞪": [ - "ㄔㄡ2", - "ㄕㄡ4" - ], - "𨞫": [ - "ㄇㄥ2" - ], - "𨞲": [ - "ㄕㄣ1" - ], - "𨞳": [ - "ㄑㄩ2" - ], - "𨞶": [ - "ㄑㄧㄠ1" - ], - "𨞷": [ - "ㄘㄢ2" - ], - "𨞺": [ - "ㄌㄧ4" - ], - "𨞼": [ - "ㄨㄢ4" - ], - "𨞽": [ - "ㄌㄟ2" - ], - "𨞾": [ - "ㄒㄧㄥ1" - ], - "𨞿": [ - "ㄌㄤ2" - ], - "𨟂": [ - "ㄕ4" - ], - "𨟃": [ - "ㄓㄥ1" - ], - "𨟄": [ - "ㄈㄢ2" - ], - "𨟊": [ - "ㄓ4" - ], - "𨟏": [ - "ㄧㄣ2" - ], - "𨟑": [ - "ㄌㄧ4" - ], - "𨟖": [ - "ㄇㄛ2" - ], - "𨟗": [ - "ㄨㄟ3" - ], - "𨟙": [ - "ㄧㄥ1" - ], - "𨟚": [ - "ㄖㄤ2" - ], - "𨟠": [ - "ㄑㄩㄢ1", - "ㄑㄩㄝ4", - "ㄐㄩㄝ2" - ], - "𨟥": [ - "ㄌㄨㄛ3" - ], - "𨟲": [ - "ㄉㄞ4" - ], - "𨟴": [ - "ㄧㄣ4" - ], - "𨟵": [ - "ㄅㄧ3" - ], - "𨟶": [ - "ㄍㄜ1" - ], - "𨟸": [ - "ㄨㄣ4" - ], - "𨟹": [ - "ㄧㄢ3" - ], - "𨟺": [ - "ㄇㄧㄢ3" - ], - "𨟼": [ - "ㄍㄤ3" - ], - "𨟽": [ - "ㄑㄧㄡ2" - ], - "𨟾": [ - "ㄓ1" - ], - "𨠋": [ - "ㄍㄨ1" - ], - "𨠌": [ - "ㄊㄨㄥ2" - ], - "𨠎": [ - "ㄌㄧㄥ2" - ], - "𨠏": [ - "ㄊㄧ2" - ], - "𨠐": [ - "ㄘ2" - ], - "𨠑": [ - "ㄧ2", - "ㄊㄨㄛ2" - ], - "𨠒": [ - "ㄈㄢ4" - ], - "𨠓": [ - "ㄆㄛ1" - ], - "𨠔": [ - "ㄅㄧ4" - ], - "𨠖": [ - "ㄅㄠ4" - ], - "𨠟": [ - "ㄆㄥ1" - ], - "𨠡": [ - "ㄙㄨㄢ1" - ], - "𨠤": [ - "ㄙㄨㄥ1", - "ㄋㄨㄥ2" - ], - "𨠥": [ - "ㄨㄟ2" - ], - "𨠦": [ - "ㄒㄧㄠ2" - ], - "𨠬": [ - "ㄏㄠ4" - ], - "𨠭": [ - "ㄧㄢ3" - ], - "𨠶": [ - "ㄧ2" - ], - "𨠷": [ - "ㄗㄠ1" - ], - "𨠸": [ - "ㄧㄥ3" - ], - "𨠹": [ - "ㄋㄢ3" - ], - "𨠿": [ - "ㄗㄚ1" - ], - "𨡁": [ - "ㄊㄧㄢ3" - ], - "𨡂": [ - "ㄒㄧ1" - ], - "𨡃": [ - "ㄐㄧㄠ4" - ], - "𨡄": [ - "ㄧㄢ2" - ], - "𨡌": [ - "ㄋㄟ2" - ], - "𨡍": [ - "ㄊㄢ3" - ], - "𨡎": [ - "ㄧㄢ4" - ], - "𨡏": [ - "ㄊㄧㄢ3" - ], - "𨡐": [ - "ㄓ4" - ], - "𨡑": [ - "ㄔㄡ1", - "ㄔㄡ2" - ], - "𨡒": [ - "ㄊㄠ2" - ], - "𨡗": [ - "ㄓㄚ4" - ], - "𨡞": [ - "ㄇㄧㄢ3" - ], - "𨡡": [ - "ㄨ3" - ], - "𨡢": [ - "ㄧㄣ3" - ], - "𨡣": [ - "ㄧㄢ4" - ], - "𨡤": [ - "ㄌㄠ3" - ], - "𨡩": [ - "ㄆㄛ1" - ], - "𨡫": [ - "ㄏㄨㄣ4" - ], - "𨡬": [ - "ㄏㄞ3" - ], - "𨡭": [ - "ㄇㄨ2" - ], - "𨡮": [ - "ㄘㄨㄥ1" - ], - "𨡱": [ - "ㄎㄨ4", - "ㄉㄧㄥ3" - ], - "𨡲": [ - "ㄔㄡ1" - ], - "𨡴": [ - "ㄧㄡ3" - ], - "𨡸": [ - "ㄓㄨㄛ2" - ], - "𨡻": [ - "ㄙㄡ1" - ], - "𨢂": [ - "ㄧㄣ4" - ], - "𨢅": [ - "ㄗㄨㄟ4" - ], - "𨢆": [ - "ㄙㄤ1" - ], - "𨢇": [ - "ㄌㄧㄡ4" - ], - "𨢈": [ - "ㄏㄢ4" - ], - "𨢉": [ - "ㄨㄟ4" - ], - "𨢊": [ - "ㄇㄥ2" - ], - "𨢋": [ - "ㄏㄨ2" - ], - "𨢌": [ - "ㄌㄧ4" - ], - "𨢎": [ - "ㄇㄧ4", - "ㄧㄣ1" - ], - "𨢐": [ - "ㄅㄤ1" - ], - "𨢑": [ - "ㄐㄧㄢ3" - ], - "𨢜": [ - "ㄑㄩㄝ4" - ], - "𨢠": [ - "ㄇㄥ2" - ], - "𨢢": [ - "ㄇㄨ2" - ], - "𨢣": [ - "ㄏㄨㄥ3" - ], - "𨢤": [ - "ㄏㄨ4" - ], - "𨢥": [ - "ㄇㄧ2" - ], - "𨢦": [ - "ㄕㄞ4", - "ㄓㄚ4" - ], - "𨢩": [ - "ㄕㄤ1" - ], - "𨢪": [ - "ㄔㄠ4" - ], - "𨢬": [ - "ㄓㄨㄛ2", - "ㄊㄨ2" - ], - "𨢮": [ - "ㄓ1" - ], - "𨢯": [ - "ㄋㄧㄢ4" - ], - "𨢵": [ - "ㄐㄧ4" - ], - "𨢸": [ - "ㄎㄜ1" - ], - "𨢹": [ - "ㄓㄥ1" - ], - "𨢿": [ - "ㄉㄢ1" - ], - "𨣀": [ - "ㄌㄧㄠ3" - ], - "𨣁": [ - "ㄓㄢ3" - ], - "𨣂": [ - "ㄍㄨㄥ3" - ], - "𨣃": [ - "ㄌㄠ2", - "ㄌㄠ4" - ], - "𨣄": [ - "ㄏㄨㄚ1" - ], - "𨣅": [ - "ㄔㄨㄞ4" - ], - "𨣇": [ - "ㄐㄧㄢ3" - ], - "𨣈": [ - "ㄎㄨㄟ4" - ], - "𨣍": [ - "ㄕㄜ1" - ], - "𨣔": [ - "ㄔㄣ3" - ], - "𨣕": [ - "ㄊㄢ3" - ], - "𨣗": [ - "ㄏㄨ2" - ], - "𨣘": [ - "ㄇㄥ2" - ], - "𨣙": [ - "ㄆㄠ4" - ], - "𨣚": [ - "ㄓㄢ3" - ], - "𨣛": [ - "ㄔㄤ2" - ], - "𨣝": [ - "ㄍㄢ3", - "ㄐㄧㄢ3" - ], - "𨣠": [ - "ㄧ4" - ], - "𨣢": [ - "ㄙㄨㄟ4" - ], - "𨣦": [ - "ㄒㄩ4" - ], - "𨣧": [ - "ㄐㄧ4" - ], - "𨣨": [ - "ㄌㄢ4" - ], - "𨣬": [ - "ㄧ2" - ], - "𨣯": [ - "ㄇㄧ4" - ], - "𨣱": [ - "ㄇㄧㄝ4" - ], - "𨣵": [ - "ㄘㄨㄢ2" - ], - "𨣸": [ - "ㄌㄢ3" - ], - "𨣻": [ - "ㄧㄢ1", - "ㄧㄢ3" - ], - "𨣾": [ - "ㄇㄧ2" - ], - "𨤂": [ - "ㄩㄥ3" - ], - "𨤃": [ - "ㄘㄤ2", - "ㄗㄚ1" - ], - "𨤄": [ - "ㄐㄧㄢ3" - ], - "𨤇": [ - "ㄙㄡ1", - "ㄗㄠ1" - ], - "𨤎": [ - "ㄧㄢ2" - ], - "𨤑": [ - "ㄐㄩㄢ4" - ], - "𨤕": [ - "ㄜ4" - ], - "𨤘": [ - "ㄈㄣ4" - ], - "𨤚": [ - "ㄈㄣ4" - ], - "𨤡": [ - "ㄍㄨㄤ4" - ], - "𨤢": [ - "ㄇㄞ2" - ], - "𨤤": [ - "ㄌㄧㄝ3" - ], - "𨤩": [ - "ㄔㄨㄥ1" - ], - "𨤫": [ - "ㄌㄧ2" - ], - "𨤱": [ - "ㄓ2" - ], - "𨤴": [ - "ㄒㄧㄝ4" - ], - "𨤷": [ - "ㄔㄡ2" - ], - "𨤹": [ - "ㄐㄧ2" - ], - "𨤽": [ - "ㄆㄧ1" - ], - "𨥂": [ - "ㄐㄧㄝ2" - ], - "𨥇": [ - "ㄓㄡ3", - "ㄓㄨ4" - ], - "𨥍": [ - "ㄒㄩㄥ1" - ], - "𨥑": [ - "ㄎㄨㄤ4", - "ㄍㄨㄥ3" - ], - "𨥙": [ - "ㄐㄧㄥ3" - ], - "𨥛": [ - "ㄏㄨ4" - ], - "𨥞": [ - "ㄑㄧㄢ2" - ], - "𨥣": [ - "ㄘㄣ2" - ], - "𨥦": [ - "ㄑㄧ2" - ], - "𨥧": [ - "ㄨㄢ3", - "ㄈㄢ4", - "ㄅㄧㄢ1" - ], - "𨥨": [ - "ㄇㄠ2" - ], - "𨥪": [ - "ㄉㄡ3" - ], - "𨥴": [ - "ㄎㄡ3" - ], - "𨥶": [ - "ㄉㄞ4" - ], - "𨥸": [ - "ㄋㄠ2" - ], - "𨥺": [ - "ㄏㄨㄥ2" - ], - "𨦂": [ - "ㄌㄞ3" - ], - "𨦃": [ - "ㄉㄨㄛ3", - "ㄉㄨㄛ4" - ], - "𨦄": [ - "ㄑㄧㄢ1" - ], - "𨦆": [ - "ㄧㄣ2" - ], - "𨦖": [ - "ㄌㄡ4" - ], - "𨦗": [ - "ㄏㄨㄟ1" - ], - "𨦛": [ - "ㄈㄨ4" - ], - "𨦜": [ - "ㄇㄠ2" - ], - "𨦞": [ - "ㄓㄡ1" - ], - "𨦡": [ - "ㄩㄥ2", - "ㄧㄤ2" - ], - "𨦭": [ - "ㄌㄠ2" - ], - "𨦮": [ - "ㄐㄧ2" - ], - "𨦯": [ - "ㄧ4" - ], - "𨦰": [ - "ㄌㄧㄡ2" - ], - "𨦱": [ - "ㄘㄨㄥ1" - ], - "𨦳": [ - "ㄋㄢ3" - ], - "𨧀": [ - "ㄉㄨ4" - ], - "𨧐": [ - "ㄊㄨㄣ1" - ], - "𨧑": [ - "ㄒㄧㄤ4" - ], - "𨧕": [ - "ㄅㄧㄢ4" - ], - "𨧖": [ - "ㄔㄨㄤ2" - ], - "𨧗": [ - "ㄨ4" - ], - "𨧙": [ - "ㄐㄩ1" - ], - "𨧥": [ - "ㄒㄧㄝ1" - ], - "𨧦": [ - "ㄆㄧ1" - ], - "𨧧": [ - "ㄓㄨㄛ2" - ], - "𨧨": [ - "ㄖㄨㄟ4", - "ㄓㄨㄟ4" - ], - "𨧪": [ - "ㄙㄠ4" - ], - "𨧫": [ - "ㄗ4" - ], - "𨧭": [ - "ㄓㄥ4" - ], - "𨧰": [ - "ㄗㄨ2" - ], - "𨧱": [ - "ㄑㄩ1" - ], - "𨧳": [ - "ㄔ4" - ], - "𨧵": [ - "ㄓ4" - ], - "𨨏": [ - "ㄅㄛ1" - ], - "𨨗": [ - "ㄑㄩㄢ4" - ], - "𨨘": [ - "ㄑㄧㄢ1" - ], - "𨨙": [ - "ㄧㄚ1" - ], - "𨨚": [ - "ㄔㄠ4" - ], - "𨨛": [ - "ㄏㄜ2" - ], - "𨨜": [ - "ㄖㄨ3" - ], - "𨨠": [ - "ㄐㄩ1" - ], - "𨨡": [ - "ㄨ4" - ], - "𨨬": [ - "ㄔ4" - ], - "𨨭": [ - "ㄎㄨㄤ4", - "ㄍㄨㄥ3" - ], - "𨨯": [ - "ㄘㄡ4", - "ㄓㄡ4" - ], - "𨨰": [ - "ㄖㄨㄢ4" - ], - "𨨱": [ - "ㄎㄨㄛ4" - ], - "𨨲": [ - "ㄔ2" - ], - "𨨳": [ - "ㄗㄨ2" - ], - "𨨴": [ - "ㄐㄧㄠ1" - ], - "𨨶": [ - "ㄩ2" - ], - "𨨷": [ - "ㄊㄨ2" - ], - "𨨸": [ - "ㄇㄥ2" - ], - "𨨹": [ - "ㄉㄚ1" - ], - "𨨺": [ - "ㄕㄨㄛ4", - "ㄒㄩㄝ1" - ], - "𨩥": [ - "ㄈㄥ1" - ], - "𨩦": [ - "ㄍㄡ3" - ], - "𨩧": [ - "ㄉㄨㄥ1" - ], - "𨩨": [ - "ㄔㄚ3" - ], - "𨩩": [ - "ㄇㄠ4" - ], - "𨩪": [ - "ㄔㄢ3" - ], - "𨩫": [ - "ㄅㄧㄢ1" - ], - "𨩬": [ - "ㄩ4" - ], - "𨩯": [ - "ㄨㄢ2" - ], - "𨩰": [ - "ㄗㄨ2" - ], - "𨩲": [ - "ㄗ1" - ], - "𨩴": [ - "ㄔㄨㄢ1" - ], - "𨩵": [ - "ㄨㄢ3" - ], - "𨩶": [ - "ㄨㄚ1" - ], - "𨩸": [ - "ㄑㄩㄢ1", - "ㄐㄩㄢ1" - ], - "𨩻": [ - "ㄨㄢ3" - ], - "𨩽": [ - "ㄒㄧㄚ4" - ], - "𨪄": [ - "ㄧㄥ4" - ], - "𨪅": [ - "ㄐㄧㄢ4" - ], - "𨪈": [ - "ㄨㄟ3" - ], - "𨪉": [ - "ㄊㄧ2" - ], - "𨪊": [ - "ㄙㄠ1" - ], - "𨪌": [ - "ㄑㄧ2" - ], - "𨪍": [ - "ㄕㄚ1" - ], - "𨪎": [ - "ㄩ4" - ], - "𨪏": [ - "ㄐㄧ2" - ], - "𨪐": [ - "ㄉㄡ4", - "ㄊㄡ1" - ], - "𨪑": [ - "ㄔㄢ3" - ], - "𨪒": [ - "ㄊㄨㄢ2" - ], - "𨪕": [ - "ㄌㄧㄡ2" - ], - "𨪗": [ - "ㄓㄨㄟ4" - ], - "𨪳": [ - "ㄖㄨㄢ4" - ], - "𨪶": [ - "ㄧㄢ4" - ], - "𨪷": [ - "ㄍㄨ3" - ], - "𨪹": [ - "ㄌㄧ4" - ], - "𨪺": [ - "ㄔㄚ1" - ], - "𨪾": [ - "ㄉㄧ4" - ], - "𨪿": [ - "ㄌㄧㄡ2" - ], - "𨫀": [ - "ㄓㄢ3" - ], - "𨫁": [ - "ㄆㄛ1" - ], - "𨫒": [ - "ㄌㄡ4" - ], - "𨫔": [ - "ㄓ4", - "ㄒㄧㄝ4" - ], - "𨬁": [ - "ㄌㄧㄢ2" - ], - "𨬅": [ - "ㄌㄨㄛ3" - ], - "𨬍": [ - "ㄉㄨㄛ4", - "ㄉㄨㄟ4" - ], - "𨬐": [ - "ㄐㄩㄝ2" - ], - "𨬑": [ - "ㄌㄧ4" - ], - "𨬒": [ - "ㄌㄢ2" - ], - "𨬔": [ - "ㄖㄨㄢ4" - ], - "𨬕": [ - "ㄍㄨ1" - ], - "𨬖": [ - "ㄔㄢ2" - ], - "𨬗": [ - "ㄒㄩ1" - ], - "𨬚": [ - "ㄓ3" - ], - "𨭁": [ - "ㄒㄩㄝ4" - ], - "𨭂": [ - "ㄅㄛ1" - ], - "𨭃": [ - "ㄔㄥ1" - ], - "𨭅": [ - "ㄓㄨ4" - ], - "𨭆": [ - "ㄏㄟ1" - ], - "𨭉": [ - "ㄅㄢ1" - ], - "𨭎": [ - "ㄒㄧ3" - ], - "𨭓": [ - "ㄉㄧㄝ2" - ], - "𨭖": [ - "ㄓㄢ3" - ], - "𨭗": [ - "ㄍㄨㄛ2" - ], - "𨭚": [ - "ㄅㄧㄠ1" - ], - "𨭛": [ - "ㄌㄚ4", - "ㄍㄜ3" - ], - "𨭺": [ - "ㄐㄧㄣ1" - ], - "𨮂": [ - "ㄍㄞ3" - ], - "𨮒": [ - "ㄇㄥ4" - ], - "𨮔": [ - "ㄩ4" - ], - "𨮪": [ - "ㄒㄧ3" - ], - "𨮬": [ - "ㄆㄧㄠ1" - ], - "𨮭": [ - "ㄙ1" - ], - "𨮴": [ - "ㄉㄥ4" - ], - "𨮸": [ - "ㄔㄨㄛ1" - ], - "𨮹": [ - "ㄉㄧ2" - ], - "𨮺": [ - "ㄐㄧ1" - ], - "𨮻": [ - "ㄔㄢ2" - ], - "𨮿": [ - "ㄓㄨㄛ2" - ], - "𨯓": [ - "ㄘㄞ4" - ], - "𨯞": [ - "ㄐㄧㄤ4" - ], - "𨯲": [ - "ㄊㄡ2" - ], - "𨯽": [ - "ㄌㄧ2" - ], - "𨰂": [ - "ㄑㄧㄢ4" - ], - "𨰆": [ - "ㄔㄨㄛ1" - ], - "𨰏": [ - "ㄊㄚ4" - ], - "𨰑": [ - "ㄉㄧㄠ4" - ], - "𨰓": [ - "ㄐㄧㄢ3" - ], - "𨰛": [ - "ㄓ3" - ], - "𨰜": [ - "ㄐㄩㄝ2" - ], - "𨰞": [ - "ㄇㄛ2" - ], - "𨰠": [ - "ㄌㄨㄛ2" - ], - "𨰦": [ - "ㄅㄠ3" - ], - "𨰭": [ - "ㄗㄨㄢ3" - ], - "𨰵": [ - "ㄓㄜ1" - ], - "𨰸": [ - "ㄩ2" - ], - "𨰻": [ - "ㄅㄠ3" - ], - "𨰾": [ - "ㄇㄚ3" - ], - "𨰿": [ - "ㄒㄧ4" - ], - "𨱀": [ - "ㄏㄨ4" - ], - "𨱁": [ - "ㄧ4" - ], - "𨱂": [ - "ㄜ2" - ], - "𨱃": [ - "ㄍㄨ1" - ], - "𨱄": [ - "ㄊㄨ2" - ], - "𨱅": [ - "ㄓㄣ1" - ], - "𨱇": [ - "ㄑㄧㄡ2" - ], - "𨱈": [ - "ㄙㄨ4" - ], - "𨱉": [ - "ㄌㄧㄤ4" - ], - "𨱊": [ - "ㄑㄩ1" - ], - "𨱋": [ - "ㄌㄧㄥ2" - ], - "𨱌": [ - "ㄍㄨㄢ4" - ], - "𨱍": [ - "ㄌㄤ2" - ], - "𨱎": [ - "ㄊㄡ1" - ], - "𨱏": [ - "ㄉㄚ1" - ], - "𨱐": [ - "ㄌㄡ4" - ], - "𨱑": [ - "ㄏㄨㄤ2" - ], - "𨱒": [ - "ㄕㄡ4" - ], - "𨱓": [ - "ㄐㄧㄠ1" - ], - "𨱔": [ - "ㄗㄨㄣ1" - ], - "𨱕": [ - "ㄍㄞ3" - ], - "𨱖": [ - "ㄨㄟ2" - ], - "𨱙": [ - "ㄎㄨㄣ1" - ], - "𨱚": [ - "ㄉㄨㄢ4" - ], - "𨱛": [ - "ㄙㄨㄥ1" - ], - "𨱜": [ - "ㄑㄧ2" - ], - "𨱝": [ - "ㄧㄤ3" - ], - "𨱡": [ - "ㄕ4" - ], - "𨱣": [ - "ㄍㄞ3" - ], - "𨱦": [ - "ㄉㄠ4" - ], - "𨱧": [ - "ㄧㄠ3", - "ㄠ3" - ], - "𨱫": [ - "ㄑㄧㄢ2" - ], - "𨱭": [ - "ㄕㄠ1" - ], - "𨱮": [ - "ㄔㄤ2" - ], - "𨱯": [ - "ㄇㄧㄡ3" - ], - "𨱱": [ - "ㄇㄛ2" - ], - "𨱵": [ - "ㄋㄠ3" - ], - "𨱸": [ - "ㄘㄨㄥ1" - ], - "𨱺": [ - "ㄋㄧㄝ4" - ], - "𨱻": [ - "ㄓㄠ1" - ], - "𨱼": [ - "ㄘㄣ2" - ], - "𨱿": [ - "ㄙㄨㄥ1" - ], - "𨲀": [ - "ㄋㄧㄝ4" - ], - "𨲁": [ - "ㄘ4" - ], - "𨲄": [ - "ㄐㄩㄣ4" - ], - "𨲆": [ - "ㄕㄠ1" - ], - "𨲈": [ - "ㄓㄨ2" - ], - "𨲉": [ - "ㄉㄨㄛ3", - "ㄊㄨㄛ3", - "ㄕㄥ4" - ], - "𨲊": [ - "ㄢ4" - ], - "𨲋": [ - "ㄅㄧ1" - ], - "𨲎": [ - "ㄊㄧ4" - ], - "𨲐": [ - "ㄆㄧ3" - ], - "𨲑": [ - "ㄒㄧㄚ2" - ], - "𨲒": [ - "ㄑㄧㄡ2" - ], - "𨲓": [ - "ㄕㄥ3" - ], - "𨲗": [ - "ㄊㄤ1" - ], - "𨲛": [ - "ㄇㄢ2", - "ㄇㄧㄢ2" - ], - "𨲜": [ - "ㄆㄧㄢ1" - ], - "𨲞": [ - "ㄊㄧ4" - ], - "𨲟": [ - "ㄖㄨㄥ2" - ], - "𨲧": [ - "ㄘㄨㄥ1" - ], - "𨲪": [ - "ㄐㄧ1" - ], - "𨲫": [ - "ㄈㄥ2" - ], - "𨲬": [ - "ㄨ4" - ], - "𨲭": [ - "ㄐㄧㄠ4" - ], - "𨲮": [ - "ㄌㄠ2" - ], - "𨲯": [ - "ㄗㄥ1" - ], - "𨲰": [ - "ㄆㄥ2" - ], - "𨲱": [ - "ㄘㄢ3" - ], - "𨲳": [ - "ㄋㄨㄥ2" - ], - "𨲵": [ - "ㄔㄢ3" - ], - "𨲾": [ - "ㄇㄢ2", - "ㄇㄧㄢ2" - ], - "𨲿": [ - "ㄍㄨㄟ4" - ], - "𨳀": [ - "ㄋㄧㄠ4" - ], - "𨳁": [ - "ㄔㄨㄥ1" - ], - "𨳂": [ - "ㄔㄢ4" - ], - "𨳆": [ - "ㄋㄤ4" - ], - "𨳉": [ - "ㄒㄧㄚ1" - ], - "𨳊": [ - "ㄐㄧㄡ1" - ], - "𨳋": [ - "ㄐㄧ3" - ], - "𨳌": [ - "ㄓㄣ4" - ], - "𨳑": [ - "ㄊㄧㄥ3" - ], - "𨳔": [ - "ㄇㄣ2" - ], - "𨳕": [ - "ㄩㄝ4" - ], - "𨳗": [ - "ㄓㄨㄥ1" - ], - "𨳘": [ - "ㄊㄨㄣ2" - ], - "𨳙": [ - "ㄖㄨㄟ4" - ], - "𨳚": [ - "ㄒㄧㄝ4", - "ㄈㄣ1" - ], - "𨳛": [ - "ㄒㄧ1" - ], - "𨳝": [ - "ㄊㄧㄥ3", - "ㄖㄨㄣ4" - ], - "𨳞": [ - "ㄋㄧㄡ3" - ], - "𨳠": [ - "ㄨㄤ3" - ], - "𨳡": [ - "ㄐㄧㄢ1", - "ㄍㄨㄢ1" - ], - "𨳣": [ - "ㄈㄣ1" - ], - "𨳲": [ - "ㄅㄧㄢ4", - "ㄅㄧ4" - ], - "𨳷": [ - "ㄧ2" - ], - "𨳺": [ - "ㄉㄧㄝ2" - ], - "𨳻": [ - "ㄐㄧ1" - ], - "𨳼": [ - "ㄍㄢ3" - ], - "𨳿": [ - "ㄐㄧㄢ1", - "ㄒㄧ4", - "ㄇㄚ3" - ], - "𨴀": [ - "ㄐㄩㄥ1" - ], - "𨴆": [ - "ㄎㄞ1" - ], - "𨴊": [ - "ㄑㄩㄝ4", - "ㄍㄨㄢ1" - ], - "𨴌": [ - "ㄋㄢ2" - ], - "𨴍": [ - "ㄇㄡ2" - ], - "𨴎": [ - "ㄒㄩ4" - ], - "𨴏": [ - "ㄙㄨㄥ3" - ], - "𨴐": [ - "ㄕㄣ4" - ], - "𨴑": [ - "ㄎㄨㄤ1" - ], - "𨴒": [ - "ㄑㄩㄝ4" - ], - "𨴓": [ - "ㄨㄟ2" - ], - "𨴗": [ - "ㄉㄧㄝ2" - ], - "𨴘": [ - "ㄋㄢ2" - ], - "𨴚": [ - "ㄖㄨㄛ4" - ], - "𨴛": [ - "ㄍㄨㄥ1" - ], - "𨴜": [ - "ㄉㄡ4", - "ㄧㄡ4" - ], - "𨴞": [ - "ㄋㄧㄢ3" - ], - "𨴡": [ - "ㄔㄠ1" - ], - "𨴢": [ - "ㄏㄜ2" - ], - "𨴣": [ - "ㄧㄢ4" - ], - "𨴩": [ - "ㄊㄨ2" - ], - "𨴪": [ - "ㄅㄨ3" - ], - "𨴬": [ - "ㄏㄨ2" - ], - "𨴭": [ - "ㄩㄥ3" - ], - "𨴯": [ - "ㄕ3" - ], - "𨴰": [ - "ㄔㄨ4" - ], - "𨴹": [ - "ㄒㄧㄠ1" - ], - "𨴺": [ - "ㄇㄣ2" - ], - "𨴻": [ - "ㄌㄧ3" - ], - "𨴼": [ - "ㄊㄧ2" - ], - "𨴾": [ - "ㄐㄧㄢ1" - ], - "𨵂": [ - "ㄓ3" - ], - "𨵃": [ - "ㄍㄨㄚ1", - "ㄈㄨ3", - "ㄩㄝ4" - ], - "𨵄": [ - "ㄍㄨㄢ3" - ], - "𨵆": [ - "ㄑㄧ4" - ], - "𨵈": [ - "ㄈㄟ1" - ], - "𨵉": [ - "ㄩ3" - ], - "𨵊": [ - "ㄓㄜ2" - ], - "𨵋": [ - "ㄨㄟ3" - ], - "𨵌": [ - "ㄜ3" - ], - "𨵍": [ - "ㄔㄢ1" - ], - "𨵎": [ - "ㄒㄧ1", - "ㄑㄧ2" - ], - "𨵐": [ - "ㄍㄨ3" - ], - "𨵗": [ - "ㄑㄩㄝ4" - ], - "𨵘": [ - "ㄏㄨㄟ4" - ], - "𨵚": [ - "ㄒㄧㄝ2" - ], - "𨵛": [ - "ㄧㄥ1" - ], - "𨵝": [ - "ㄊㄚ4" - ], - "𨵞": [ - "ㄨㄞ1" - ], - "𨵟": [ - "ㄈㄨ2" - ], - "𨵠": [ - "ㄐㄧㄝ4" - ], - "𨵡": [ - "ㄆㄧ4" - ], - "𨵥": [ - "ㄕㄥ3" - ], - "𨵦": [ - "ㄩ2" - ], - "𨵧": [ - "ㄎㄨㄚ1" - ], - "𨵩": [ - "ㄆㄧ4" - ], - "𨵪": [ - "ㄒㄧㄝ2" - ], - "𨵫": [ - "ㄋㄩㄝ4" - ], - "𨵬": [ - "ㄒㄧㄢ4" - ], - "𨵭": [ - "ㄐㄧㄢ4" - ], - "𨵮": [ - "ㄒㄩ4" - ], - "𨵰": [ - "ㄅㄧ4" - ], - "𨵴": [ - "ㄋㄢ2" - ], - "𨵶": [ - "ㄌㄧㄤ2" - ], - "𨵸": [ - "ㄆㄧㄢ2" - ], - "𨵼": [ - "ㄐㄧㄥ4" - ], - "𨶀": [ - "ㄊㄚ3" - ], - "𨶁": [ - "ㄧㄢ4" - ], - "𨶂": [ - "ㄞ4" - ], - "𨶅": [ - "ㄒㄧㄠ1" - ], - "𨶆": [ - "ㄑㄧㄤ1" - ], - "𨶇": [ - "ㄨ3" - ], - "𨶈": [ - "ㄊㄤ2" - ], - "𨶊": [ - "ㄐㄩㄣ4" - ], - "𨶐": [ - "ㄎㄨㄛ4" - ], - "𨶗": [ - "ㄌㄤ4" - ], - "𨶙": [ - "ㄋㄥ3" - ], - "𨶜": [ - "ㄉㄡ4", - "ㄉㄡ3" - ], - "𨶝": [ - "ㄕㄨ2" - ], - "𨶟": [ - "ㄐㄧㄠ3" - ], - "𨶠": [ - "ㄋㄧㄝ4" - ], - "𨶢": [ - "ㄩ2" - ], - "𨶨": [ - "ㄘㄜ4" - ], - "𨶪": [ - "ㄐㄧㄠ3", - "ㄌㄧㄡ2" - ], - "𨶬": [ - "ㄏㄨㄚ4" - ], - "𨶭": [ - "ㄨㄣ2" - ], - "𨶮": [ - "ㄧㄝ1" - ], - "𨶯": [ - "ㄜ2" - ], - "𨶰": [ - "ㄍㄨㄤ1" - ], - "𨶱": [ - "ㄏㄨㄚ1" - ], - "𨶲": [ - "ㄐㄧㄠ1" - ], - "𨶺": [ - "ㄌㄟ4" - ], - "𨶼": [ - "ㄕㄤ1" - ], - "𨶽": [ - "ㄩㄥ4" - ], - "𨶿": [ - "ㄉㄥ1" - ], - "𨷀": [ - "ㄍㄨㄢ1" - ], - "𨷁": [ - "ㄋㄧㄡ2" - ], - "𨷃": [ - "ㄙㄨㄟ4" - ], - "𨷄": [ - "ㄒㄧㄤ4" - ], - "𨷆": [ - "ㄙㄚ4" - ], - "𨷇": [ - "ㄔㄤ1" - ], - "𨷎": [ - "ㄖㄨㄣ4" - ], - "𨷐": [ - "ㄩㄣ1" - ], - "𨷒": [ - "ㄈㄣ1" - ], - "𨷓": [ - "ㄐㄧㄢ4" - ], - "𨷔": [ - "ㄒㄩ4" - ], - "𨷘": [ - "ㄒㄧ4" - ], - "𨷙": [ - "ㄕㄨ2" - ], - "𨷥": [ - "ㄒㄧㄝ2" - ], - "𨷦": [ - "ㄌㄧ4" - ], - "𨷩": [ - "ㄊㄡ2" - ], - "𨷬": [ - "ㄇㄧ3" - ], - "𨷭": [ - "ㄔㄢ2" - ], - "𨷮": [ - "ㄏㄨㄛ1" - ], - "𨷱": [ - "ㄓㄨㄢ3" - ], - "𨷲": [ - "ㄩㄝ4" - ], - "𨷻": [ - "ㄌㄢ2" - ], - "𨷽": [ - "ㄧㄢ2" - ], - "𨷾": [ - "ㄉㄤ4" - ], - "𨷿": [ - "ㄒㄧㄤ4" - ], - "𨸀": [ - "ㄩㄝ4" - ], - "𨸁": [ - "ㄊㄧㄥ3" - ], - "𨸂": [ - "ㄅㄥ1" - ], - "𨸃": [ - "ㄙㄢ4" - ], - "𨸄": [ - "ㄒㄧㄢ4" - ], - "𨸅": [ - "ㄉㄧㄝ2" - ], - "𨸆": [ - "ㄆㄧ4" - ], - "𨸇": [ - "ㄆㄧㄢ2" - ], - "𨸉": [ - "ㄊㄚ3" - ], - "𨸋": [ - "ㄐㄧㄠ1" - ], - "𨸌": [ - "ㄧㄝ1" - ], - "𨸎": [ - "ㄩㄝ4" - ], - "𨸐": [ - "ㄖㄥ2" - ], - "𨸑": [ - "ㄑㄧㄠ3" - ], - "𨸒": [ - "ㄑㄧ2" - ], - "𨸓": [ - "ㄉㄧㄠ1" - ], - "𨸔": [ - "ㄑㄧ2", - "ㄨㄟ2" - ], - "𨸗": [ - "ㄏㄢ4" - ], - "𨸘": [ - "ㄩㄢ2" - ], - "𨸙": [ - "ㄧㄡ2" - ], - "𨸚": [ - "ㄐㄧ2" - ], - "𨸛": [ - "ㄍㄞ4" - ], - "𨸜": [ - "ㄏㄞ1" - ], - "𨸝": [ - "ㄕ4" - ], - "𨸟": [ - "ㄑㄩ1" - ], - "𨸩": [ - "ㄨㄣ4" - ], - "𨸬": [ - "ㄓㄣ4" - ], - "𨸭": [ - "ㄆㄛ1" - ], - "𨸮": [ - "ㄧㄢ2", - "ㄩㄣ3" - ], - "𨸯": [ - "ㄍㄨ1" - ], - "𨸰": [ - "ㄐㄩ2" - ], - "𨸱": [ - "ㄊㄧㄢ4", - "ㄋㄧㄢ3" - ], - "𨸷": [ - "ㄜ4" - ], - "𨸺": [ - "ㄧㄚ1" - ], - "𨸻": [ - "ㄌㄧㄣ4" - ], - "𨸼": [ - "ㄅㄧ4" - ], - "𨹀": [ - "ㄗ3" - ], - "𨹁": [ - "ㄏㄨㄥ2" - ], - "𨹃": [ - "ㄉㄨㄛ3", - "ㄉㄨㄛ4" - ], - "𨹅": [ - "ㄉㄨㄟ4" - ], - "𨹆": [ - "ㄒㄩㄢ4" - ], - "𨹈": [ - "ㄕㄢ3", - "ㄧㄤ2" - ], - "𨹊": [ - "ㄕㄢ3" - ], - "𨹋": [ - "ㄧㄠ2" - ], - "𨹌": [ - "ㄖㄢ3" - ], - "𨹔": [ - "ㄊㄨㄛ2" - ], - "𨹗": [ - "ㄅㄧㄥ1" - ], - "𨹘": [ - "ㄒㄩ4" - ], - "𨹙": [ - "ㄊㄨㄣ1" - ], - "𨹚": [ - "ㄔㄥ2" - ], - "𨹜": [ - "ㄉㄡ4" - ], - "𨹝": [ - "ㄧ4", - "ㄧㄚ4" - ], - "𨹡": [ - "ㄔㄜ4" - ], - "𨹵": [ - "ㄐㄩㄢ3" - ], - "𨹶": [ - "ㄐㄧ1" - ], - "𨹸": [ - "ㄓㄠ4" - ], - "𨹹": [ - "ㄅㄥ1", - "ㄅㄥ4" - ], - "𨹻": [ - "ㄊㄧㄢ3" - ], - "𨺀": [ - "ㄆㄥ1" - ], - "𨺅": [ - "ㄈㄨ4" - ], - "𨺖": [ - "ㄊㄨㄛ3" - ], - "𨺘": [ - "ㄒㄧㄢ2" - ], - "𨺙": [ - "ㄋㄧ4" - ], - "𨺚": [ - "ㄌㄨㄥ2" - ], - "𨺝": [ - "ㄓㄨㄛ2" - ], - "𨺟": [ - "ㄓㄥ1" - ], - "𨺠": [ - "ㄕㄨㄣ3" - ], - "𨺡": [ - "ㄗㄨㄥ1" - ], - "𨺢": [ - "ㄈㄥ1" - ], - "𨺣": [ - "ㄉㄨㄢ4" - ], - "𨺤": [ - "ㄆㄧ4" - ], - "𨺥": [ - "ㄧㄢ3" - ], - "𨺦": [ - "ㄙㄡ3" - ], - "𨺧": [ - "ㄑㄧㄡ2" - ], - "𨺨": [ - "ㄜ4" - ], - "𨺩": [ - "ㄑㄧㄢ2" - ], - "𨺫": [ - "ㄑㄧㄢ3" - ], - "𨺭": [ - "ㄘㄚ1" - ], - "𨺮": [ - "ㄒㄩㄣ4" - ], - "𨺵": [ - "ㄓㄨㄟ4" - ], - "𨺸": [ - "ㄇㄠ3" - ], - "𨺹": [ - "ㄐㄧㄠ3" - ], - "𨺿": [ - "ㄓㄢ3" - ], - "𨻀": [ - "ㄆㄧ2", - "ㄅㄧ1" - ], - "𨻁": [ - "ㄒㄧ1" - ], - "𨻂": [ - "ㄧㄢ4" - ], - "𨻃": [ - "ㄈㄟ4" - ], - "𨻄": [ - "ㄋㄧㄝ4" - ], - "𨻆": [ - "ㄓ4" - ], - "𨻈": [ - "ㄙㄨㄛ3" - ], - "𨻊": [ - "ㄧ4" - ], - "𨻌": [ - "ㄌㄟ3" - ], - "𨻍": [ - "ㄒㄩ4" - ], - "𨻏": [ - "ㄧ4" - ], - "𨻒": [ - "ㄨㄟ1" - ], - "𨻕": [ - "ㄐㄧ1" - ], - "𨻖": [ - "ㄔㄣ1" - ], - "𨻗": [ - "ㄉㄧㄝ2" - ], - "𨻣": [ - "ㄩㄢ2" - ], - "𨻥": [ - "ㄒㄧ2" - ], - "𨻧": [ - "ㄌㄧㄡ2" - ], - "𨻨": [ - "ㄙㄨㄛ3" - ], - "𨻱": [ - "ㄅㄥ1" - ], - "𨻲": [ - "ㄒㄧㄚ4" - ], - "𨻳": [ - "ㄧㄢ4", - "ㄧㄢ1" - ], - "𨻵": [ - "ㄘㄨㄟ1", - "ㄗㄨㄟ1", - "ㄉㄨㄟ4" - ], - "𨻷": [ - "ㄎㄤ1" - ], - "𨻺": [ - "ㄑㄧㄥ1" - ], - "𨻻": [ - "ㄌㄡ2" - ], - "𨻼": [ - "ㄅㄧ1" - ], - "𨼈": [ - "ㄓㄢ4" - ], - "𨼉": [ - "ㄘㄨㄢ4" - ], - "𨼊": [ - "ㄨ2" - ], - "𨼋": [ - "ㄒㄩ1" - ], - "𨼌": [ - "ㄔㄣ1" - ], - "𨼍": [ - "ㄏㄠ2" - ], - "𨼎": [ - "ㄐㄩㄝ2" - ], - "𨼐": [ - "ㄔㄣ4" - ], - "𨼑": [ - "ㄔㄚ2" - ], - "𨼒": [ - "ㄔㄢ3" - ], - "𨼓": [ - "ㄓ2" - ], - "𨼔": [ - "ㄒㄩㄣ2" - ], - "𨼣": [ - "ㄍㄜ2" - ], - "𨼤": [ - "ㄔㄣ2" - ], - "𨼥": [ - "ㄧㄝ4", - "ㄍㄜ2" - ], - "𨼪": [ - "ㄔㄨ3" - ], - "𨼫": [ - "ㄑㄩ2" - ], - "𨼬": [ - "ㄒㄧㄝ4" - ], - "𨼮": [ - "ㄓㄢ4" - ], - "𨼯": [ - "ㄎㄣ3" - ], - "𨼱": [ - "ㄐㄩㄝ2" - ], - "𨼽": [ - "ㄑㄩ2" - ], - "𨼿": [ - "ㄇㄥ2" - ], - "𨽀": [ - "ㄧㄝ4" - ], - "𨽁": [ - "ㄗㄡ1", - "ㄘㄨㄥ2" - ], - "𨽂": [ - "ㄆㄨ2" - ], - "𨽄": [ - "ㄕ4" - ], - "𨽉": [ - "ㄕㄨ3" - ], - "𨽊": [ - "ㄔㄢ2" - ], - "𨽍": [ - "ㄉㄨ2" - ], - "𨽏": [ - "ㄍㄨㄛ1" - ], - "𨽐": [ - "ㄌㄨ4", - "ㄧㄤ2" - ], - "𨽑": [ - "ㄧㄢ1" - ], - "𨽖": [ - "ㄋㄧㄠ3" - ], - "𨽗": [ - "ㄅㄧㄣ1", - "ㄆㄧㄣ2" - ], - "𨽟": [ - "ㄊㄨㄟ2" - ], - "𨽦": [ - "ㄋㄧ4" - ], - "𨽧": [ - "ㄏㄨㄢ1" - ], - "𨽨": [ - "ㄑㄧㄢ2" - ], - "𨽯": [ - "ㄒㄧㄚ4" - ], - "𨽲": [ - "ㄌㄧㄥ2" - ], - "𨽷": [ - "ㄌㄧㄢ2" - ], - "𨽹": [ - "ㄧ4", - "ㄌㄧ4" - ], - "𨽻": [ - "ㄌㄧ4" - ], - "𨽼": [ - "ㄙ4" - ], - "𨽿": [ - "ㄉㄞ4" - ], - "𨾂": [ - "ㄨㄟ4" - ], - "𨾅": [ - "ㄘ4" - ], - "𨾉": [ - "ㄐㄧㄡ3" - ], - "𨾊": [ - "ㄏㄨㄥ2" - ], - "𨾌": [ - "ㄩ2" - ], - "𨾎": [ - "ㄎㄨㄟ2" - ], - "𨾒": [ - "ㄏㄤ2" - ], - "𨾓": [ - "ㄍㄜ1", - "ㄧ4" - ], - "𨾔": [ - "ㄈㄤ4" - ], - "𨾗": [ - "ㄎㄨㄟ2", - "ㄒㄧㄝ2" - ], - "𨾚": [ - "ㄍㄨㄟ1", - "ㄈㄨ1" - ], - "𨾛": [ - "ㄔ3", - "ㄑㄧ2" - ], - "𨾞": [ - "ㄐㄧㄡ3" - ], - "𨾡": [ - "ㄙㄨㄟ1", - "ㄏㄨㄤ3" - ], - "𨾤": [ - "ㄉㄧㄝ2" - ], - "𨾬": [ - "ㄙㄨㄟ3" - ], - "𨾰": [ - "ㄑㄧㄣ2" - ], - "𨾴": [ - "ㄍㄨㄟ1" - ], - "𨾻": [ - "ㄓㄨㄟ1" - ], - "𨾾": [ - "ㄊㄧㄠ4" - ], - "𨿁": [ - "ㄩㄝ4" - ], - "𨿇": [ - "ㄗㄨㄟ3" - ], - "𨿏": [ - "ㄨ2" - ], - "𨿐": [ - "ㄘㄨㄟ3" - ], - "𨿛": [ - "ㄓ4", - "ㄒㄧ1" - ], - "𨿠": [ - "ㄕㄨㄟ4" - ], - "𨿢": [ - "ㄉㄨㄥ1" - ], - "𨿭": [ - "ㄨㄟ2" - ], - "𨿿": [ - "ㄔㄨㄥ3" - ], - "𩀋": [ - "ㄖㄨㄣ2" - ], - "𩀖": [ - "ㄐㄧ2" - ], - "𩀜": [ - "ㄉㄧㄠ1" - ], - "𩀞": [ - "ㄘㄤ1" - ], - "𩀠": [ - "ㄎㄡ4", - "ㄍㄨ3" - ], - "𩀣": [ - "ㄨㄟ2" - ], - "𩀧": [ - "ㄘㄢ2" - ], - "𩀪": [ - "ㄇㄚ2" - ], - "𩀫": [ - "ㄡ4" - ], - "𩀲": [ - "ㄙㄢ3" - ], - "𩀶": [ - "ㄨㄟ2", - "ㄏㄨㄟ1", - "ㄇㄧ2" - ], - "𩀼": [ - "ㄙㄢ3" - ], - "𩀿": [ - "ㄐㄧㄣ1" - ], - "𩁌": [ - "ㄨㄟ2" - ], - "𩁞": [ - "ㄘㄞ4" - ], - "𩁟": [ - "ㄌㄧ2" - ], - "𩁯": [ - "ㄩㄝ4" - ], - "𩁴": [ - "ㄩㄣ1" - ], - "𩁷": [ - "ㄔㄥ1" - ], - "𩁺": [ - "ㄕㄢ1" - ], - "𩂂": [ - "ㄏㄨ1" - ], - "𩂃": [ - "ㄕㄞ4" - ], - "𩂄": [ - "ㄊㄨㄣ2" - ], - "𩂆": [ - "ㄈㄡ3", - "ㄈㄨ4" - ], - "𩂈": [ - "ㄑㄧㄣ4" - ], - "𩂉": [ - "ㄒㄩ1", - "ㄔㄣ1" - ], - "𩂍": [ - "ㄔㄨㄢ1" - ], - "𩂎": [ - "ㄈㄨ4" - ], - "𩂒": [ - "ㄧ4", - "ㄞ4" - ], - "𩂓": [ - "ㄉㄨㄥ1" - ], - "𩂔": [ - "ㄈㄨ2" - ], - "𩂕": [ - "ㄈㄨ2" - ], - "𩂖": [ - "ㄗㄜ2" - ], - "𩂗": [ - "ㄆㄨ4" - ], - "𩂙": [ - "ㄌㄧㄥ2" - ], - "𩂝": [ - "ㄕㄞ4", - "ㄧㄥ1" - ], - "𩂞": [ - "ㄆㄠ4" - ], - "𩂢": [ - "ㄧㄣ2", - "ㄞ2" - ], - "𩂣": [ - "ㄌㄨㄛ4" - ], - "𩂤": [ - "ㄏㄨㄚ4" - ], - "𩂥": [ - "ㄧㄣ4" - ], - "𩂦": [ - "ㄅㄥ4" - ], - "𩂧": [ - "ㄩ1" - ], - "𩂨": [ - "ㄕㄜ4" - ], - "𩂪": [ - "ㄒㄧㄝ4" - ], - "𩂫": [ - "ㄔㄨ3" - ], - "𩂴": [ - "ㄕㄜ4" - ], - "𩂵": [ - "ㄉㄧㄢ4" - ], - "𩂹": [ - "ㄧ4" - ], - "𩂻": [ - "ㄔㄜ4" - ], - "𩂼": [ - "ㄍㄥ3" - ], - "𩂽": [ - "ㄌㄨㄥ2" - ], - "𩂾": [ - "ㄆㄧㄥ2" - ], - "𩂿": [ - "ㄩㄣ3" - ], - "𩃀": [ - "ㄧㄢ4" - ], - "𩃁": [ - "ㄇㄛ4" - ], - "𩃃": [ - "ㄙㄨㄟ1" - ], - "𩃋": [ - "ㄐㄧㄥ4" - ], - "𩃍": [ - "ㄙㄨㄥ4" - ], - "𩃎": [ - "ㄆㄤ2" - ], - "𩃐": [ - "ㄧㄚ2" - ], - "𩃑": [ - "ㄙㄜ4" - ], - "𩃒": [ - "ㄉㄨㄛ3" - ], - "𩃕": [ - "ㄔㄨㄤ2" - ], - "𩃖": [ - "ㄒㄧㄝ4" - ], - "𩃘": [ - "ㄊㄨㄢ2" - ], - "𩃙": [ - "ㄍㄨㄥ1" - ], - "𩃚": [ - "ㄒㄩㄢ4" - ], - "𩃜": [ - "ㄌㄚ1" - ], - "𩃞": [ - "ㄌㄧㄥ2" - ], - "𩃠": [ - "ㄉㄞ4" - ], - "𩃡": [ - "ㄓㄚ2" - ], - "𩃬": [ - "ㄧㄣ1" - ], - "𩃭": [ - "ㄙㄨㄥ1" - ], - "𩃯": [ - "ㄩ3" - ], - "𩃰": [ - "ㄊㄨㄛ2" - ], - "𩃱": [ - "ㄊㄨㄛ2" - ], - "𩃴": [ - "ㄅㄚ4" - ], - "𩃵": [ - "ㄖㄢ3" - ], - "𩃶": [ - "ㄅㄛ2" - ], - "𩃷": [ - "ㄉㄞ4" - ], - "𩃹": [ - "ㄓㄚ2", - "ㄓㄚ3" - ], - "𩃺": [ - "ㄏㄡ2" - ], - "𩃾": [ - "ㄏㄨㄟ3" - ], - "𩄅": [ - "ㄌㄨ2" - ], - "𩄊": [ - "ㄌㄧㄥ4" - ], - "𩄋": [ - "ㄖㄨ2" - ], - "𩄕": [ - "ㄉㄢ4" - ], - "𩄖": [ - "ㄇㄥ2" - ], - "𩄗": [ - "ㄒㄧㄚ4" - ], - "𩄘": [ - "ㄨㄥ3" - ], - "𩄙": [ - "ㄏㄢ2" - ], - "𩄚": [ - "ㄗ1" - ], - "𩄛": [ - "ㄓㄣ4" - ], - "𩄜": [ - "ㄙㄜ4" - ], - "𩄝": [ - "ㄘㄨㄛ2" - ], - "𩄞": [ - "ㄌㄧ4" - ], - "𩄠": [ - "ㄉㄧㄢ1" - ], - "𩄡": [ - "ㄌㄧㄢ2" - ], - "𩄢": [ - "ㄍㄡ4" - ], - "𩄦": [ - "ㄆㄥ2" - ], - "𩄪": [ - "ㄧㄥ1" - ], - "𩄬": [ - "ㄏㄡ4" - ], - "𩄮": [ - "ㄉㄨㄟ4" - ], - "𩄯": [ - "ㄨ4" - ], - "𩄷": [ - "ㄆㄧㄠ4" - ], - "𩄸": [ - "ㄏㄜ4" - ], - "𩄺": [ - "ㄌㄨㄥ2" - ], - "𩄻": [ - "ㄇㄛ4" - ], - "𩄼": [ - "ㄈㄟ3" - ], - "𩄽": [ - "ㄌㄩ3" - ], - "𩄾": [ - "ㄗㄜ2" - ], - "𩄿": [ - "ㄅㄛ2" - ], - "𩅀": [ - "ㄉㄧㄢ4", - "ㄓ2" - ], - "𩅁": [ - "ㄇㄤ3" - ], - "𩅃": [ - "ㄓㄨㄤ4", - "ㄔㄨㄥ2" - ], - "𩅄": [ - "ㄌㄨ4" - ], - "𩅅": [ - "ㄆㄤ1" - ], - "𩅆": [ - "ㄉㄨㄟ4" - ], - "𩅇": [ - "ㄅㄨ4" - ], - "𩅌": [ - "ㄔㄣ1" - ], - "𩅍": [ - "ㄇㄢ4" - ], - "𩅖": [ - "ㄒㄧ1" - ], - "𩅝": [ - "ㄢ3" - ], - "𩅞": [ - "ㄓㄨㄥ1", - "ㄔㄨㄥ4" - ], - "𩅠": [ - "ㄋㄢ4" - ], - "𩅡": [ - "ㄊㄨㄛ4" - ], - "𩅢": [ - "ㄏㄜ2" - ], - "𩅥": [ - "ㄉㄨㄟ4" - ], - "𩅦": [ - "ㄨㄢ1", - "ㄉㄢ1" - ], - "𩅧": [ - "ㄓㄨㄥ1" - ], - "𩅨": [ - "ㄘㄣ2", - "ㄕㄣ4" - ], - "𩅩": [ - "ㄌㄧ4" - ], - "𩅪": [ - "ㄕㄨㄤ1" - ], - "𩅮": [ - "ㄘㄣ2" - ], - "𩅰": [ - "ㄙ1" - ], - "𩅲": [ - "ㄉㄨㄟ4" - ], - "𩅴": [ - "ㄏㄨㄣ1" - ], - "𩅼": [ - "ㄐㄧㄢ1", - "ㄐㄧㄢ4" - ], - "𩅽": [ - "ㄋㄨㄥ2" - ], - "𩅾": [ - "ㄉㄢ4" - ], - "𩅿": [ - "ㄈㄨ4" - ], - "𩆀": [ - "ㄏㄨㄛ4" - ], - "𩆁": [ - "ㄏㄨㄟ4", - "ㄨㄟ4" - ], - "𩆂": [ - "ㄘ2" - ], - "𩆄": [ - "ㄩㄥ3" - ], - "𩆅": [ - "ㄙㄚ4" - ], - "𩆆": [ - "ㄊㄧㄥ2" - ], - "𩆎": [ - "ㄌㄧㄡ4" - ], - "𩆑": [ - "ㄙㄨㄢ1" - ], - "𩆒": [ - "ㄌㄧㄥ2" - ], - "𩆓": [ - "ㄇㄢ2", - "ㄇㄢ4" - ], - "𩆔": [ - "ㄉㄧㄢ4" - ], - "𩆘": [ - "ㄆㄠ1" - ], - "𩆚": [ - "ㄌㄧㄥ2" - ], - "𩆝": [ - "ㄌㄧ4" - ], - "𩆟": [ - "ㄋㄡ2" - ], - "𩆣": [ - "ㄌㄧㄝ4" - ], - "𩆤": [ - "ㄕㄢ3" - ], - "𩆦": [ - "ㄈㄟ4" - ], - "𩆫": [ - "ㄕㄢ3" - ], - "𩆮": [ - "ㄌㄧㄥ2" - ], - "𩆯": [ - "ㄓㄢ4", - "ㄐㄧㄢ1" - ], - "𩆱": [ - "ㄅㄧㄣ1" - ], - "𩆲": [ - "ㄌㄧ2" - ], - "𩆵": [ - "ㄙ1", - "ㄒㄧㄢ4" - ], - "𩆶": [ - "ㄖㄤ2" - ], - "𩆷": [ - "ㄐㄧㄢ1" - ], - "𩆸": [ - "ㄓㄨㄛ2" - ], - "𩆻": [ - "ㄌㄧㄥ2" - ], - "𩆼": [ - "ㄌㄧㄥ2" - ], - "𩆽": [ - "ㄇㄥ4" - ], - "𩆿": [ - "ㄕㄨㄤ1" - ], - "𩇄": [ - "ㄌㄧㄥ2" - ], - "𩇇": [ - "ㄏㄨㄣ4" - ], - "𩇎": [ - "ㄌㄧㄥ2" - ], - "𩇏": [ - "ㄐㄧㄢ1" - ], - "𩇐": [ - "ㄑㄩ2" - ], - "𩇔": [ - "ㄋㄨㄥ2" - ], - "𩇕": [ - "ㄐㄧㄥ4" - ], - "𩇖": [ - "ㄔㄣ1" - ], - "𩇜": [ - "ㄓㄣ1", - "ㄔㄥ4", - "ㄔㄥ1" - ], - "𩇝": [ - "ㄑㄧㄥ4" - ], - "𩇟": [ - "ㄑㄧㄥ4" - ], - "𩇠": [ - "ㄜ4", - "ㄧㄢ3" - ], - "𩇣": [ - "ㄙㄜ4" - ], - "𩇩": [ - "ㄅㄟ4" - ], - "𩇫": [ - "ㄈㄟ1" - ], - "𩇮": [ - "ㄈㄟ4" - ], - "𩇯": [ - "ㄈㄟ2" - ], - "𩇴": [ - "ㄈㄤ1" - ], - "𩇵": [ - "ㄎㄨ3" - ], - "𩇺": [ - "ㄗㄚ2" - ], - "𩇻": [ - "ㄏㄨㄟ4" - ], - "𩇽": [ - "ㄈㄟ2" - ], - "𩈁": [ - "ㄉㄨㄟ4" - ], - "𩈆": [ - "ㄆㄚ1" - ], - "𩈇": [ - "ㄋㄧㄡ3" - ], - "𩈈": [ - "ㄆㄤ4" - ], - "𩈉": [ - "ㄉㄢ4" - ], - "𩈊": [ - "ㄉㄢ1", - "ㄉㄢ4" - ], - "𩈋": [ - "ㄞ4" - ], - "𩈍": [ - "ㄊㄧㄢ3" - ], - "𩈎": [ - "ㄔㄠ3" - ], - "𩈏": [ - "ㄠ3", - "ㄧㄡ3" - ], - "𩈐": [ - "ㄇㄟ4" - ], - "𩈑": [ - "ㄋㄢ3" - ], - "𩈔": [ - "ㄅㄛ4" - ], - "𩈕": [ - "ㄩ4", - "ㄔ4" - ], - "𩈖": [ - "ㄒㄧㄢ1", - "ㄏㄢ1" - ], - "𩈗": [ - "ㄇㄞ4" - ], - "𩈚": [ - "ㄆㄧㄥ1" - ], - "𩈜": [ - "ㄉㄨㄟ1" - ], - "𩈞": [ - "ㄉㄠ4" - ], - "𩈡": [ - "ㄒㄧㄥ4" - ], - "𩈢": [ - "ㄋㄧ4", - "ㄋㄩ4" - ], - "𩈣": [ - "ㄏㄢ1" - ], - "𩈤": [ - "ㄔㄨ4" - ], - "𩈥": [ - "ㄕㄨㄚ3" - ], - "𩈦": [ - "ㄇㄢ3" - ], - "𩈬": [ - "ㄨㄢ4" - ], - "𩈭": [ - "ㄧ4" - ], - "𩈮": [ - "ㄉㄧㄠ4" - ], - "𩈯": [ - "ㄧㄢ1" - ], - "𩈱": [ - "ㄨㄛ4" - ], - "𩈲": [ - "ㄙㄨㄢ4" - ], - "𩈴": [ - "ㄢ3" - ], - "𩈵": [ - "ㄌㄢ2" - ], - "𩈶": [ - "ㄋㄢ3" - ], - "𩈸": [ - "ㄑㄧㄡ3" - ], - "𩈹": [ - "ㄇㄧㄢ4" - ], - "𩈺": [ - "ㄋㄨㄛ3" - ], - "𩈻": [ - "ㄘㄢ2" - ], - "𩈼": [ - "ㄘㄢ3" - ], - "𩉀": [ - "ㄌㄢ4" - ], - "𩉁": [ - "ㄊㄧㄢ3" - ], - "𩉂": [ - "ㄧㄝ4" - ], - "𩉄": [ - "ㄋㄧㄢ3" - ], - "𩉆": [ - "ㄕㄨㄚ3" - ], - "𩉋": [ - "ㄘ2" - ], - "𩉍": [ - "ㄐㄧㄢ3" - ], - "𩉐": [ - "ㄍㄢ4" - ], - "𩉔": [ - "ㄐㄧㄢ4" - ], - "𩉕": [ - "ㄍㄨㄛ2" - ], - "𩉗": [ - "ㄓㄢ1" - ], - "𩉙": [ - "ㄌㄨㄛ3" - ], - "𩉜": [ - "ㄐㄧ1", - "ㄏㄤ4" - ], - "𩉝": [ - "ㄍㄨㄟ4" - ], - "𩉡": [ - "ㄐㄧㄚ2" - ], - "𩉢": [ - "ㄐㄧ3" - ], - "𩉥": [ - "ㄒㄩㄢ4" - ], - "𩉧": [ - "ㄈㄥ1" - ], - "𩉫": [ - "ㄅㄧ4" - ], - "𩉬": [ - "ㄑㄧ2", - "ㄔ2" - ], - "𩉯": [ - "ㄩㄢ2" - ], - "𩉰": [ - "ㄤ4" - ], - "𩉱": [ - "ㄉㄧ1" - ], - "𩉴": [ - "ㄜ4" - ], - "𩉵": [ - "ㄈㄣ2" - ], - "𩉸": [ - "ㄐㄩ4" - ], - "𩉹": [ - "ㄋㄧ3" - ], - "𩉺": [ - "ㄊㄨㄛ2" - ], - "𩉼": [ - "ㄕㄣ1" - ], - "𩉽": [ - "ㄈㄨ2" - ], - "𩉾": [ - "ㄒㄧㄚ2" - ], - "𩉿": [ - "ㄑㄩ2" - ], - "𩊀": [ - "ㄆㄛ4" - ], - "𩊁": [ - "ㄨㄢ3" - ], - "𩊂": [ - "ㄌㄧㄥ2" - ], - "𩊃": [ - "ㄇㄚ4" - ], - "𩊄": [ - "ㄓㄡ4" - ], - "𩊅": [ - "ㄅㄠ4" - ], - "𩊇": [ - "ㄩ4" - ], - "𩊌": [ - "ㄅㄥ3" - ], - "𩊍": [ - "ㄇㄞ4" - ], - "𩊏": [ - "ㄐㄧㄚ1" - ], - "𩊑": [ - "ㄧㄤ3" - ], - "𩊓": [ - "ㄎㄨㄚ3", - "ㄎㄨ4" - ], - "𩊔": [ - "ㄐㄧㄠ4" - ], - "𩊖": [ - "ㄅㄧㄥ3" - ], - "𩊚": [ - "ㄌㄨㄛ4" - ], - "𩊛": [ - "ㄍㄨㄟ3" - ], - "𩊜": [ - "ㄉㄨㄛ4" - ], - "𩊝": [ - "ㄓ4" - ], - "𩊡": [ - "ㄓㄣ4" - ], - "𩊢": [ - "ㄜ4" - ], - "𩊣": [ - "ㄓㄨ1" - ], - "𩊤": [ - "ㄅㄚ2" - ], - "𩊨": [ - "ㄓㄣ4" - ], - "𩊩": [ - "ㄈㄥ1", - "ㄈㄥ2" - ], - "𩊪": [ - "ㄉㄡ4" - ], - "𩊫": [ - "ㄋㄧㄢ3" - ], - "𩊬": [ - "ㄅㄨ4" - ], - "𩊭": [ - "ㄉㄨㄟ4" - ], - "𩊮": [ - "ㄕㄚ1", - "ㄙㄨㄛ1" - ], - "𩊯": [ - "ㄙㄜ4" - ], - "𩊰": [ - "ㄅㄧ4" - ], - "𩊴": [ - "ㄓ4" - ], - "𩊵": [ - "ㄓㄜ2" - ], - "𩊶": [ - "ㄅㄨ4" - ], - "𩊺": [ - "ㄐㄩㄝ2" - ], - "𩊻": [ - "ㄒㄩㄣ4" - ], - "𩊿": [ - "ㄒㄧ4" - ], - "𩋁": [ - "ㄓㄨㄛ2" - ], - "𩋂": [ - "ㄅㄞ4" - ], - "𩋃": [ - "ㄧㄠ2", - "ㄊㄠ2" - ], - "𩋄": [ - "ㄔㄡ3" - ], - "𩋅": [ - "ㄊㄚ4" - ], - "𩋆": [ - "ㄑㄧㄢ1" - ], - "𩋈": [ - "ㄋㄠ4" - ], - "𩋉": [ - "ㄩ4" - ], - "𩋊": [ - "ㄜ4" - ], - "𩋋": [ - "ㄐㄧㄢ1" - ], - "𩋌": [ - "ㄧ4" - ], - "𩋍": [ - "ㄒㄧㄠ1" - ], - "𩋏": [ - "ㄋㄧㄝ4" - ], - "𩋒": [ - "ㄅㄧㄥ1" - ], - "𩋗": [ - "ㄍㄨㄛ3" - ], - "𩋘": [ - "ㄒㄧㄝ2" - ], - "𩋙": [ - "ㄉㄧㄠ4" - ], - "𩋜": [ - "ㄐㄩ1" - ], - "𩋝": [ - "ㄙㄨㄛ3" - ], - "𩋞": [ - "ㄉㄧㄝ2" - ], - "𩋟": [ - "ㄈㄨ2", - "ㄈㄨ4" - ], - "𩋠": [ - "ㄇㄧㄢ3" - ], - "𩋡": [ - "ㄕ4" - ], - "𩋢": [ - "ㄒㄩㄢ4", - "ㄩㄣ4" - ], - "𩋣": [ - "ㄊㄧ2" - ], - "𩋤": [ - "ㄩ4" - ], - "𩋧": [ - "ㄒㄧㄝ2", - "ㄎㄞ4" - ], - "𩋨": [ - "ㄈㄨ2" - ], - "𩋩": [ - "ㄓ4" - ], - "𩋪": [ - "ㄋㄧ3" - ], - "𩋫": [ - "ㄒㄩㄢ4" - ], - "𩋬": [ - "ㄧㄤ2" - ], - "𩋮": [ - "ㄈㄥ3", - "ㄅㄤ1" - ], - "𩋯": [ - "ㄗㄨㄥ4" - ], - "𩋰": [ - "ㄓㄡ4" - ], - "𩋱": [ - "ㄒㄩㄢ1" - ], - "𩋵": [ - "ㄓㄨ1" - ], - "𩋷": [ - "ㄌㄚ5" - ], - "𩋹": [ - "ㄧㄥ4" - ], - "𩋺": [ - "ㄍㄠ4" - ], - "𩋻": [ - "ㄎㄨㄛ4" - ], - "𩋽": [ - "ㄜ2" - ], - "𩋾": [ - "ㄨㄟ2", - "ㄨㄟ3", - "ㄒㄩㄝ1" - ], - "𩋿": [ - "ㄇㄟ2" - ], - "𩌃": [ - "ㄏㄨㄞ2", - "ㄍㄨㄟ4" - ], - "𩌄": [ - "ㄔㄡ3", - "ㄓㄡ1" - ], - "𩌆": [ - "ㄙㄨㄛ3" - ], - "𩌇": [ - "ㄊㄚ4" - ], - "𩌈": [ - "ㄙㄨㄛ3" - ], - "𩌉": [ - "ㄊㄚ4" - ], - "𩌊": [ - "ㄒㄩㄝ4" - ], - "𩌌": [ - "ㄍㄨㄥ3" - ], - "𩌍": [ - "ㄐㄧㄚ3" - ], - "𩌏": [ - "ㄅㄛ2", - "ㄈㄨ2", - "ㄅㄨ4", - "ㄈㄨ4" - ], - "𩌐": [ - "ㄊㄚ4" - ], - "𩌑": [ - "ㄩㄢ3" - ], - "𩌘": [ - "ㄊㄚ4" - ], - "𩌝": [ - "ㄔㄨㄟ2" - ], - "𩌠": [ - "ㄒㄩㄥ1" - ], - "𩌡": [ - "ㄏㄜ2", - "ㄐㄩㄝ1" - ], - "𩌢": [ - "ㄙㄨㄛ1" - ], - "𩌧": [ - "ㄇㄛ4" - ], - "𩌨": [ - "ㄔㄨㄥ2" - ], - "𩌩": [ - "ㄙㄨㄟ1" - ], - "𩌪": [ - "ㄗㄜ2" - ], - "𩌫": [ - "ㄌㄨ4" - ], - "𩌬": [ - "ㄓㄤ1" - ], - "𩌭": [ - "ㄌㄨㄛ4" - ], - "𩌮": [ - "ㄒㄩ4" - ], - "𩌯": [ - "ㄐㄧㄢ1" - ], - "𩌰": [ - "ㄕㄢ1" - ], - "𩌲": [ - "ㄒㄩ4" - ], - "𩌾": [ - "ㄐㄧㄤ3" - ], - "𩍂": [ - "ㄅㄠ4" - ], - "𩍃": [ - "ㄇㄞ2" - ], - "𩍅": [ - "ㄊㄨㄥ2" - ], - "𩍆": [ - "ㄒㄧ4" - ], - "𩍉": [ - "ㄖㄨㄥ2" - ], - "𩍋": [ - "ㄕㄥ2" - ], - "𩍌": [ - "ㄓㄡ4" - ], - "𩍎": [ - "ㄐㄧㄢ1" - ], - "𩍏": [ - "ㄈㄨ4" - ], - "𩍐": [ - "ㄉㄥ4" - ], - "𩍓": [ - "ㄩㄥ1" - ], - "𩍔": [ - "ㄐㄩ1", - "ㄑㄩ1" - ], - "𩍖": [ - "ㄧ4" - ], - "𩍗": [ - "ㄅㄤ1" - ], - "𩍙": [ - "ㄙㄜ4" - ], - "𩍚": [ - "ㄙㄨㄟ4" - ], - "𩍜": [ - "ㄉㄨㄛ2" - ], - "𩍝": [ - "ㄒㄧㄝ4" - ], - "𩍡": [ - "ㄏㄨㄢ2" - ], - "𩍥": [ - "ㄖㄨ3" - ], - "𩍦": [ - "ㄋㄧ3" - ], - "𩍧": [ - "ㄓㄡ4" - ], - "𩍨": [ - "ㄍㄨㄟ4" - ], - "𩍪": [ - "ㄌㄨㄛ4" - ], - "𩍲": [ - "ㄓ1", - "ㄔㄢ4" - ], - "𩍳": [ - "ㄒㄩ4" - ], - "𩍵": [ - "ㄓ1" - ], - "𩍷": [ - "ㄐㄩㄝ2" - ], - "𩍸": [ - "ㄐㄩ1" - ], - "𩍻": [ - "ㄩㄢ2" - ], - "𩍼": [ - "ㄌㄨ2" - ], - "𩍿": [ - "ㄅㄛ2", - "ㄈㄨ4" - ], - "𩎂": [ - "ㄖㄨㄥ2" - ], - "𩎃": [ - "ㄒㄧㄝ4" - ], - "𩎉": [ - "ㄒㄧ3" - ], - "𩎊": [ - "ㄌㄨㄛ2" - ], - "𩎎": [ - "ㄍㄜ2" - ], - "𩎑": [ - "ㄗㄨㄢ1" - ], - "𩎒": [ - "ㄏㄢ4", - "ㄐㄧㄢ1" - ], - "𩎔": [ - "ㄐㄧㄠ1" - ], - "𩎕": [ - "ㄙㄚ3" - ], - "𩎖": [ - "ㄑㄧㄣ2", - "ㄑㄧㄢ2" - ], - "𩎗": [ - "ㄑㄩㄣ1" - ], - "𩎘": [ - "ㄆㄠ2" - ], - "𩎙": [ - "ㄩㄝ4" - ], - "𩎚": [ - "ㄔㄜ4" - ], - "𩎛": [ - "ㄈㄨ2" - ], - "𩎜": [ - "ㄆㄟ1" - ], - "𩎟": [ - "ㄇㄟ4", - "ㄇㄛ4", - "ㄨㄚ4" - ], - "𩎢": [ - "ㄊㄠ1" - ], - "𩎤": [ - "ㄎㄣ1" - ], - "𩎥": [ - "ㄒㄧ4" - ], - "𩎫": [ - "ㄉㄨㄛ4" - ], - "𩎭": [ - "ㄧ4" - ], - "𩎰": [ - "ㄙㄨㄟ4" - ], - "𩎲": [ - "ㄒㄧㄚ2" - ], - "𩎳": [ - "ㄐㄩㄢ1" - ], - "𩎵": [ - "ㄨㄟ2" - ], - "𩎷": [ - "ㄧ4" - ], - "𩎹": [ - "ㄩ4" - ], - "𩎻": [ - "ㄅㄞ4" - ], - "𩎼": [ - "ㄊㄨㄛ2" - ], - "𩎽": [ - "ㄊㄚ4" - ], - "𩎾": [ - "ㄆㄠ2" - ], - "𩏂": [ - "ㄅㄧㄥ3", - "ㄅㄧ4" - ], - "𩏅": [ - "ㄩㄣ4" - ], - "𩏆": [ - "ㄩㄣ4" - ], - "𩏇": [ - "ㄉㄨㄢ4" - ], - "𩏈": [ - "ㄖㄨㄢ3" - ], - "𩏉": [ - "ㄨㄟ2" - ], - "𩏏": [ - "ㄨㄟ2" - ], - "𩏐": [ - "ㄍㄨㄟ4", - "ㄨㄟ3" - ], - "𩏒": [ - "ㄉㄚ2" - ], - "𩏓": [ - "ㄒㄧㄚ2" - ], - "𩏖": [ - "ㄏㄨㄣ4" - ], - "𩏗": [ - "ㄐㄩㄢ3" - ], - "𩏘": [ - "ㄙㄨㄟ1" - ], - "𩏚": [ - "ㄙㄨㄟ4" - ], - "𩏝": [ - "ㄌㄡ2" - ], - "𩏞": [ - "ㄅㄞ4" - ], - "𩏟": [ - "ㄩ4" - ], - "𩏠": [ - "ㄓㄥ4" - ], - "𩏡": [ - "ㄍㄨㄟ4" - ], - "𩏣": [ - "ㄎㄨㄟ1" - ], - "𩏤": [ - "ㄍㄠ1" - ], - "𩏥": [ - "ㄉㄢ1" - ], - "𩏩": [ - "ㄒㄧㄢ3" - ], - "𩏪": [ - "ㄓㄞ2" - ], - "𩏫": [ - "ㄙㄜ4" - ], - "𩏭": [ - "ㄎㄜ1" - ], - "𩏮": [ - "ㄅㄨ3" - ], - "𩏯": [ - "ㄅㄛ2" - ], - "𩏲": [ - "ㄙㄨㄟ4" - ], - "𩏴": [ - "ㄩ4" - ], - "𩏵": [ - "ㄅㄨ3", - "ㄅㄨ4" - ], - "𩏶": [ - "ㄐㄧㄡ1" - ], - "𩏷": [ - "ㄐㄧㄡ1", - "ㄐㄧㄠ4" - ], - "𩏹": [ - "ㄐㄩㄢ4" - ], - "𩏺": [ - "ㄐㄩㄝ2" - ], - "𩏼": [ - "ㄋㄚ4" - ], - "𩏽": [ - "ㄓㄞ2" - ], - "𩏾": [ - "ㄊㄠ1" - ], - "𩏿": [ - "ㄨㄟ3" - ], - "𩐀": [ - "ㄒㄧㄚ2" - ], - "𩐁": [ - "ㄒㄧㄝ4" - ], - "𩐅": [ - "ㄙㄚ4" - ], - "𩐆": [ - "ㄐㄧ1" - ], - "𩐉": [ - "ㄒㄧㄝ4" - ], - "𩐌": [ - "ㄉㄨㄟ4" - ], - "𩐍": [ - "ㄗ3" - ], - "𩐘": [ - "ㄩㄢ3" - ], - "𩐙": [ - "ㄑㄧㄣ4" - ], - "𩐚": [ - "ㄈㄨ2" - ], - "𩐛": [ - "ㄆㄥ2" - ], - "𩐜": [ - "ㄆㄠ2" - ], - "𩐞": [ - "ㄧㄣ4" - ], - "𩐠": [ - "ㄏㄨㄥ1" - ], - "𩐡": [ - "ㄗㄨ2" - ], - "𩐣": [ - "ㄍㄨㄥ1" - ], - "𩐤": [ - "ㄉㄨㄥ4" - ], - "𩐥": [ - "ㄏㄜ1" - ], - "𩐦": [ - "ㄨㄛ4" - ], - "𩐨": [ - "ㄆㄤ1" - ], - "𩐫": [ - "ㄙㄨ4" - ], - "𩐬": [ - "ㄎㄢ3" - ], - "𩐭": [ - "ㄋㄧㄝ4" - ], - "𩐮": [ - "ㄏㄠ2" - ], - "𩐯": [ - "ㄈㄥ4" - ], - "𩐰": [ - "ㄜ4" - ], - "𩐱": [ - "ㄧㄝ4" - ], - "𩐴": [ - "ㄊㄧㄥ2" - ], - "𩐵": [ - "ㄉㄨㄥ4" - ], - "𩐶": [ - "ㄓㄜ2" - ], - "𩐷": [ - "ㄙㄤ1" - ], - "𩐻": [ - "ㄇㄛ4" - ], - "𩐼": [ - "ㄙㄨ4" - ], - "𩐾": [ - "ㄌㄜ4" - ], - "𩑀": [ - "ㄆㄨ3" - ], - "𩑁": [ - "ㄜ2" - ], - "𩑂": [ - "ㄓㄨㄛ2" - ], - "𩑃": [ - "ㄧㄝ4" - ], - "𩑇": [ - "ㄒㄧㄤ1" - ], - "𩑈": [ - "ㄍㄨㄤ4" - ], - "𩑉": [ - "ㄖㄣ3" - ], - "𩑊": [ - "ㄌㄧㄥ2" - ], - "𩑍": [ - "ㄠ4" - ], - "𩑐": [ - "ㄔㄞ1" - ], - "𩑒": [ - "ㄉㄨㄛ2" - ], - "𩑓": [ - "ㄑㄩㄥ2" - ], - "𩑔": [ - "ㄎㄨ1", - "ㄧㄚ4" - ], - "𩑕": [ - "ㄒㄩ1" - ], - "𩑖": [ - "ㄏㄨㄢ2" - ], - "𩑗": [ - "ㄧㄠ1" - ], - "𩑘": [ - "ㄓㄣ4" - ], - "𩑙": [ - "ㄊㄧㄥ3" - ], - "𩑚": [ - "ㄅㄥ3", - "ㄌㄟ4" - ], - "𩑝": [ - "ㄤ2" - ], - "𩑟": [ - "ㄎㄢ1", - "ㄑㄧㄢ1" - ], - "𩑡": [ - "ㄎㄨ1", - "ㄍㄣ3" - ], - "𩑢": [ - "ㄆㄟ2", - "ㄅㄞ1" - ], - "𩑣": [ - "ㄧㄡ4" - ], - "𩑤": [ - "ㄠ3" - ], - "𩑥": [ - "ㄇㄣ2" - ], - "𩑦": [ - "ㄇㄛ4" - ], - "𩑬": [ - "ㄈㄨ3", - "ㄍㄨㄟ1" - ], - "𩑭": [ - "ㄑㄧㄥ1" - ], - "𩑮": [ - "ㄌㄚ4" - ], - "𩑯": [ - "ㄉㄡ3" - ], - "𩑰": [ - "ㄊㄢ3" - ], - "𩑳": [ - "ㄑㄧㄢ3" - ], - "𩑴": [ - "ㄧㄠ4" - ], - "𩑵": [ - "ㄨㄟ4" - ], - "𩑶": [ - "ㄏㄨ2", - "ㄎㄨ1" - ], - "𩑷": [ - "ㄇㄛ4" - ], - "𩑸": [ - "ㄏㄜ1" - ], - "𩑹": [ - "ㄒㄩㄢ4" - ], - "𩑻": [ - "ㄅㄧ4", - "ㄆㄛ2" - ], - "𩑼": [ - "ㄆㄛ1" - ], - "𩑾": [ - "ㄉㄧ1" - ], - "𩒀": [ - "ㄓㄣ3" - ], - "𩒂": [ - "ㄕ1" - ], - "𩒃": [ - "ㄎㄢ3" - ], - "𩒄": [ - "ㄘㄜ4" - ], - "𩒇": [ - "ㄒㄩ1" - ], - "𩒈": [ - "ㄓㄣ3" - ], - "𩒊": [ - "ㄓㄨ3" - ], - "𩒏": [ - "ㄏㄨㄟ4" - ], - "𩒐": [ - "ㄔ3" - ], - "𩒓": [ - "ㄏㄨㄥ3" - ], - "𩒔": [ - "ㄋㄡ2" - ], - "𩒕": [ - "ㄋㄧㄝ4", - "ㄆㄛ4", - "ㄜ4" - ], - "𩒖": [ - "ㄧㄢ4" - ], - "𩒘": [ - "ㄔㄨㄥ3" - ], - "𩒙": [ - "ㄈㄨ3", - "ㄍㄨㄟ4" - ], - "𩒚": [ - "ㄍㄨㄤ1" - ], - "𩒛": [ - "ㄑㄧ1" - ], - "𩒝": [ - "ㄍㄣ3" - ], - "𩒞": [ - "ㄊㄧㄥ3" - ], - "𩒢": [ - "ㄊㄢ3" - ], - "𩒣": [ - "ㄑㄧㄢ3" - ], - "𩒦": [ - "ㄐㄧㄡ4", - "ㄒㄧㄣ4" - ], - "𩒧": [ - "ㄒㄩ1" - ], - "𩒨": [ - "ㄑㄧ3" - ], - "𩒪": [ - "ㄓㄣ4" - ], - "𩒮": [ - "ㄑㄧㄡ2" - ], - "𩒰": [ - "ㄜ3" - ], - "𩒳": [ - "ㄏㄨㄟ4" - ], - "𩒴": [ - "ㄏㄨㄥ4" - ], - "𩒵": [ - "ㄑㄧㄥ3" - ], - "𩒷": [ - "ㄔㄜ1", - "ㄖㄨㄥ3" - ], - "𩒺": [ - "ㄈㄨ4" - ], - "𩒼": [ - "ㄏㄨㄥ1" - ], - "𩒽": [ - "ㄒㄧ1" - ], - "𩒾": [ - "ㄨ2" - ], - "𩒿": [ - "ㄇㄤ2" - ], - "𩓂": [ - "ㄊㄧ1" - ], - "𩓅": [ - "ㄏㄨㄥ1" - ], - "𩓐": [ - "ㄅㄛ2" - ], - "𩓒": [ - "ㄑㄧㄣ3" - ], - "𩓓": [ - "ㄍㄣ3" - ], - "𩓖": [ - "ㄈㄨ2" - ], - "𩓗": [ - "ㄎㄨㄟ3" - ], - "𩓝": [ - "ㄅㄧㄝ2" - ], - "𩓞": [ - "ㄐㄧㄥ4" - ], - "𩓟": [ - "ㄎㄢ3" - ], - "𩓠": [ - "ㄍㄨㄟ1" - ], - "𩓢": [ - "ㄍㄠ3" - ], - "𩓣": [ - "ㄒㄩ1" - ], - "𩓤": [ - "ㄢ4" - ], - "𩓥": [ - "ㄩㄝ4" - ], - "𩓦": [ - "ㄨ4" - ], - "𩓧": [ - "ㄧ2" - ], - "𩓨": [ - "ㄐㄧㄥ1" - ], - "𩓪": [ - "ㄌㄨ4" - ], - "𩓫": [ - "ㄑㄩㄢ2" - ], - "𩓬": [ - "ㄊㄨㄟ2" - ], - "𩓮": [ - "ㄐㄧ4" - ], - "𩓺": [ - "ㄐㄩㄥ3" - ], - "𩓻": [ - "ㄐㄩㄝ2" - ], - "𩓼": [ - "ㄆㄧㄝ1" - ], - "𩓽": [ - "ㄎㄨㄣ1" - ], - "𩔀": [ - "ㄨㄞ4" - ], - "𩔁": [ - "ㄏㄨㄟ4" - ], - "𩔂": [ - "ㄉㄨㄣ4" - ], - "𩔃": [ - "ㄩㄢ3" - ], - "𩔄": [ - "ㄐㄧㄝ2" - ], - "𩔆": [ - "ㄍㄨㄟ4" - ], - "𩔇": [ - "ㄍㄠ3" - ], - "𩔈": [ - "ㄆㄛ4" - ], - "𩔉": [ - "ㄇㄣ2", - "ㄇㄧㄣ2", - "ㄏㄨㄣ1" - ], - "𩔊": [ - "ㄓㄨㄢ4" - ], - "𩔋": [ - "ㄏㄤ4" - ], - "𩔔": [ - "ㄩㄥ2" - ], - "𩔕": [ - "ㄑㄧㄡ2" - ], - "𩔗": [ - "ㄌㄟ4" - ], - "𩔘": [ - "ㄤ2" - ], - "𩔙": [ - "ㄆㄧ3", - "ㄒㄧㄣ4" - ], - "𩔚": [ - "ㄨㄥ1", - "ㄨㄥ3" - ], - "𩔝": [ - "ㄑㄧㄣ4" - ], - "𩔟": [ - "ㄑㄧㄣ3" - ], - "𩔠": [ - "ㄇㄧㄝ4" - ], - "𩔡": [ - "ㄉㄡ1" - ], - "𩔢": [ - "ㄇㄧ2" - ], - "𩔣": [ - "ㄓㄢ1" - ], - "𩔥": [ - "ㄑㄧㄥ3" - ], - "𩔦": [ - "ㄧ2" - ], - "𩔮": [ - "ㄅㄢ1" - ], - "𩔱": [ - "ㄐㄩㄢ1" - ], - "𩔳": [ - "ㄗㄜ2" - ], - "𩔴": [ - "ㄒㄩ4" - ], - "𩔵": [ - "ㄌㄢ2" - ], - "𩔶": [ - "ㄇㄚ2" - ], - "𩔷": [ - "ㄇㄚ2" - ], - "𩔸": [ - "ㄡ1" - ], - "𩔹": [ - "ㄅㄟ1" - ], - "𩔻": [ - "ㄆㄡ2" - ], - "𩔼": [ - "ㄒㄩ4" - ], - "𩕀": [ - "ㄠ4" - ], - "𩕆": [ - "ㄏㄨㄥ3" - ], - "𩕉": [ - "ㄏㄨㄥ3" - ], - "𩕊": [ - "ㄓㄢ3" - ], - "𩕌": [ - "ㄙㄣ3" - ], - "𩕍": [ - "ㄍㄠ3", - "ㄏㄠ2" - ], - "𩕏": [ - "ㄆㄛ2", - "ㄈㄢ2" - ], - "𩕐": [ - "ㄌㄧㄠ4" - ], - "𩕕": [ - "ㄨㄞ4" - ], - "𩕖": [ - "ㄒㄩㄢ1" - ], - "𩕜": [ - "ㄎㄨㄟ2" - ], - "𩕟": [ - "ㄜ4" - ], - "𩕠": [ - "ㄏㄢ4" - ], - "𩕡": [ - "ㄙㄜ4" - ], - "𩕤": [ - "ㄉㄢ4" - ], - "𩕪": [ - "ㄒㄩㄢ1" - ], - "𩕬": [ - "ㄜ4" - ], - "𩕭": [ - "ㄍㄞ4" - ], - "𩕯": [ - "ㄉㄠ1" - ], - "𩕱": [ - "ㄇㄥ3" - ], - "𩕲": [ - "ㄧ1" - ], - "𩕳": [ - "ㄋㄧㄥ3" - ], - "𩕵": [ - "ㄆㄧㄣ2" - ], - "𩕹": [ - "ㄘㄤ1" - ], - "𩕾": [ - "ㄩㄢ4" - ], - "𩖀": [ - "ㄜ4" - ], - "𩖁": [ - "ㄋㄧㄝ4", - "ㄧㄚ2" - ], - "𩖄": [ - "ㄧㄣ3" - ], - "𩖇": [ - "ㄑㄧㄠ1" - ], - "𩖉": [ - "ㄏㄨㄥ1" - ], - "𩖊": [ - "ㄌㄧㄥ2" - ], - "𩖌": [ - "ㄔㄢ1" - ], - "𩖍": [ - "ㄧㄥ3" - ], - "𩖒": [ - "ㄍㄨㄢ1" - ], - "𩖔": [ - "ㄋㄧㄠ3" - ], - "𩖕": [ - "ㄒㄩ1" - ], - "𩖖": [ - "ㄊㄢ2" - ], - "𩖗": [ - "ㄐㄧㄣ4" - ], - "𩖛": [ - "ㄆㄥ2" - ], - "𩖝": [ - "ㄌㄧㄠ2" - ], - "𩖠": [ - "ㄅㄟ4" - ], - "𩖣": [ - "ㄒㄧㄣ2", - "ㄅㄚ2" - ], - "𩖤": [ - "ㄊㄨㄣ2" - ], - "𩖥": [ - "ㄔㄠ1" - ], - "𩖦": [ - "ㄍㄢ1" - ], - "𩖨": [ - "ㄏㄨ1" - ], - "𩖩": [ - "ㄨㄤ3" - ], - "𩖬": [ - "ㄈㄨ2" - ], - "𩖭": [ - "ㄆㄟ4" - ], - "𩖯": [ - "ㄋㄠ2" - ], - "𩖰": [ - "ㄒㄩㄣ2", - "ㄒㄧㄣ2" - ], - "𩖱": [ - "ㄒㄩㄝ4" - ], - "𩖴": [ - "ㄌㄧㄡ3" - ], - "𩖵": [ - "ㄌㄧㄥ2" - ], - "𩖶": [ - "ㄒㄩㄝ4" - ], - "𩖷": [ - "ㄑㄩ1" - ], - "𩖸": [ - "ㄏㄠ2" - ], - "𩖹": [ - "ㄧ2" - ], - "𩖺": [ - "ㄏㄢ4" - ], - "𩖼": [ - "ㄈㄨ2" - ], - "𩖽": [ - "ㄅㄚ2" - ], - "𩖾": [ - "ㄧ2" - ], - "𩗀": [ - "ㄅㄛ2" - ], - "𩗄": [ - "ㄏㄨㄥ1" - ], - "𩗅": [ - "ㄌㄧ4" - ], - "𩗉": [ - "ㄙㄚ4" - ], - "𩗊": [ - "ㄒㄧ1" - ], - "𩗎": [ - "ㄕ4" - ], - "𩗏": [ - "ㄆㄧㄠ1" - ], - "𩗐": [ - "ㄏㄨㄚ4" - ], - "𩗑": [ - "ㄧ2" - ], - "𩗒": [ - "ㄅㄛ2" - ], - "𩗓": [ - "ㄅㄛ2" - ], - "𩗔": [ - "ㄋㄟ3" - ], - "𩗕": [ - "ㄑㄧㄡ2" - ], - "𩗘": [ - "ㄨㄟ3" - ], - "𩗙": [ - "ㄔㄜ4" - ], - "𩗚": [ - "ㄧㄡ2" - ], - "𩗜": [ - "ㄨㄟ4" - ], - "𩗝": [ - "ㄏㄨㄟ3" - ], - "𩗞": [ - "ㄙㄚ4" - ], - "𩗢": [ - "ㄏㄨㄥ4" - ], - "𩗣": [ - "ㄙㄡ1" - ], - "𩗤": [ - "ㄏㄢ4" - ], - "𩗥": [ - "ㄆㄠ2" - ], - "𩗧": [ - "ㄈㄤ2" - ], - "𩗩": [ - "ㄌㄧㄡ2" - ], - "𩗪": [ - "ㄓㄡ4" - ], - "𩗫": [ - "ㄆㄧ2" - ], - "𩗭": [ - "ㄌㄧ4" - ], - "𩗰": [ - "ㄔㄨㄟ2" - ], - "𩗱": [ - "ㄒㄧ1" - ], - "𩗲": [ - "ㄓㄥ1" - ], - "𩗴": [ - "ㄅㄥ4" - ], - "𩗵": [ - "ㄓㄥ1" - ], - "𩗶": [ - "ㄙㄨㄟ4" - ], - "𩗷": [ - "ㄧㄢ3" - ], - "𩗼": [ - "ㄑㄧㄥ1" - ], - "𩗽": [ - "ㄨ4" - ], - "𩗾": [ - "ㄌㄧㄤ3" - ], - "𩘀": [ - "ㄓㄠ4" - ], - "𩘁": [ - "ㄌㄧㄤ2" - ], - "𩘅": [ - "ㄐㄧㄝ1" - ], - "𩘇": [ - "ㄏㄨㄥ1" - ], - "𩘈": [ - "ㄧㄡ1" - ], - "𩘊": [ - "ㄌㄚ4" - ], - "𩘋": [ - "ㄏㄡ4" - ], - "𩘍": [ - "ㄩㄢ4" - ], - "𩘎": [ - "ㄏㄨㄥ2" - ], - "𩘏": [ - "ㄧㄝ4" - ], - "𩘑": [ - "ㄧㄥ3", - "ㄧㄥ1" - ], - "𩘒": [ - "ㄒㄩㄢ3", - "ㄐㄩㄢ1" - ], - "𩘓": [ - "ㄧㄡ2" - ], - "𩘘": [ - "ㄑㄩㄢ2" - ], - "𩘜": [ - "ㄊㄤ2" - ], - "𩘝": [ - "ㄙㄨㄛ3" - ], - "𩘟": [ - "ㄌㄧ4" - ], - "𩘠": [ - "ㄙㄡ1" - ], - "𩘡": [ - "ㄌㄧ4" - ], - "𩘤": [ - "ㄩ4" - ], - "𩘧": [ - "ㄧ4" - ], - "𩘭": [ - "ㄒㄧㄡ1" - ], - "𩘮": [ - "ㄠ2" - ], - "𩘯": [ - "ㄊㄨㄢ2" - ], - "𩘰": [ - "ㄙㄨ4" - ], - "𩘱": [ - "ㄕㄨㄞ4" - ], - "𩘳": [ - "ㄩ4" - ], - "𩘵": [ - "ㄈㄥ1" - ], - "𩘹": [ - "ㄙㄨ4" - ], - "𩘺": [ - "ㄊㄨㄟ2" - ], - "𩘻": [ - "ㄩ4" - ], - "𩘼": [ - "ㄓㄥ1" - ], - "𩘽": [ - "ㄓㄥ1" - ], - "𩘿": [ - "ㄊㄠ2" - ], - "𩙄": [ - "ㄌㄧㄡ2" - ], - "𩙆": [ - "ㄔㄥ2" - ], - "𩙇": [ - "ㄙㄨㄟ2" - ], - "𩙈": [ - "ㄙㄠ1" - ], - "𩙏": [ - "ㄍㄨ3" - ], - "𩙐": [ - "ㄈㄥ1" - ], - "𩙑": [ - "ㄌㄧㄝ4" - ], - "𩙒": [ - "ㄆㄧㄠ1", - "ㄆㄧㄠ4" - ], - "𩙖": [ - "ㄌㄧ4" - ], - "𩙘": [ - "ㄌㄨㄥ2" - ], - "𩙙": [ - "ㄔㄨ1" - ], - "𩙚": [ - "ㄒㄧㄠ1" - ], - "𩙛": [ - "ㄏㄨㄥ1" - ], - "𩙜": [ - "ㄒㄧㄝ4" - ], - "𩙝": [ - "ㄕㄜ4" - ], - "𩙠": [ - "ㄌㄨㄥ2" - ], - "𩙡": [ - "ㄏㄡ1" - ], - "𩙢": [ - "ㄒㄩㄢ2", - "ㄕ1" - ], - "𩙣": [ - "ㄈㄥ1" - ], - "𩙥": [ - "ㄅㄚ2" - ], - "𩙦": [ - "ㄅㄛ2" - ], - "𩙧": [ - "ㄊㄠ2" - ], - "𩙨": [ - "ㄙㄨ4" - ], - "𩙩": [ - "ㄓㄠ4" - ], - "𩙪": [ - "ㄅㄧㄠ1" - ], - "𩙫": [ - "ㄙㄡ1" - ], - "𩙬": [ - "ㄊㄨㄟ2" - ], - "𩙭": [ - "ㄙㄨㄛ3" - ], - "𩙮": [ - "ㄒㄧㄠ1" - ], - "𩙯": [ - "ㄏㄥ2" - ], - "𩙰": [ - "ㄙㄠ1" - ], - "𩙲": [ - "ㄈㄟ1" - ], - "𩙷": [ - "ㄋㄧㄡ4" - ], - "𩙸": [ - "ㄇㄤ3" - ], - "𩙽": [ - "ㄏㄨㄢ2", - "ㄒㄩㄢ1" - ], - "𩙾": [ - "ㄓ1" - ], - "𩚂": [ - "ㄧ4" - ], - "𩚄": [ - "ㄩ4" - ], - "𩚇": [ - "ㄧ2" - ], - "𩚈": [ - "ㄩㄝ1" - ], - "𩚉": [ - "ㄔ2" - ], - "𩚕": [ - "ㄧㄣ3", - "ㄑㄧㄤ1" - ], - "𩚖": [ - "ㄋㄧㄡ4" - ], - "𩚗": [ - "ㄖㄨㄥ3" - ], - "𩚛": [ - "ㄋㄚ4" - ], - "𩚣": [ - "ㄊㄧㄢ2" - ], - "𩚥": [ - "ㄅㄚ1" - ], - "𩚪": [ - "ㄦ3" - ], - "𩚫": [ - "ㄓㄥ1" - ], - "𩚬": [ - "ㄜ4" - ], - "𩚭": [ - "ㄆㄡ2" - ], - "𩚮": [ - "ㄐㄧ1", - "ㄋㄧ4" - ], - "𩚯": [ - "ㄋㄧ2" - ], - "𩚱": [ - "ㄐㄩㄥ3" - ], - "𩚲": [ - "ㄐㄧㄚ2" - ], - "𩚵": [ - "ㄍㄢ1" - ], - "𩚹": [ - "ㄌㄧㄥ2" - ], - "𩚻": [ - "ㄗㄨㄟ4" - ], - "𩚾": [ - "ㄅㄟ4" - ], - "𩛅": [ - "ㄕㄨ1" - ], - "𩛆": [ - "ㄧ3" - ], - "𩛇": [ - "ㄆㄞ1" - ], - "𩛋": [ - "ㄋㄠ3" - ], - "𩛌": [ - "ㄕ4" - ], - "𩛎": [ - "ㄇㄢ3" - ], - "𩛏": [ - "ㄕ4" - ], - "𩛑": [ - "ㄊㄧ2" - ], - "𩛘": [ - "ㄍㄨㄥ1" - ], - "𩛝": [ - "ㄌㄟ4" - ], - "𩛞": [ - "ㄅㄠ3", - "ㄋㄟ3", - "ㄆㄧㄠ3" - ], - "𩛟": [ - "ㄩㄢ1", - "ㄇㄢ2" - ], - "𩛠": [ - "ㄗㄨㄛ1" - ], - "𩛡": [ - "ㄌㄤ2", - "ㄋㄤ2" - ], - "𩛢": [ - "ㄒㄧㄡ1" - ], - "𩛥": [ - "ㄗㄞ4" - ], - "𩛦": [ - "ㄔㄥ4" - ], - "𩛧": [ - "ㄐㄧㄢ1" - ], - "𩛨": [ - "ㄇㄠ4" - ], - "𩛩": [ - "ㄐㄧㄚ2" - ], - "𩛪": [ - "ㄩ4" - ], - "𩛭": [ - "ㄩ4" - ], - "𩛮": [ - "ㄧ2" - ], - "𩛲": [ - "ㄇㄤ1" - ], - "𩛳": [ - "ㄗㄞ4", - "ㄘㄢ1" - ], - "𩛵": [ - "ㄓㄨㄟ4" - ], - "𩛶": [ - "ㄊㄧ2" - ], - "𩛹": [ - "ㄒㄧ4" - ], - "𩛺": [ - "ㄐㄩ2" - ], - "𩛻": [ - "ㄗㄢ4", - "ㄗㄨㄢ3", - "ㄓㄢ1" - ], - "𩛼": [ - "ㄌㄨ4" - ], - "𩛽": [ - "ㄊㄠ2" - ], - "𩜀": [ - "ㄓㄨㄟ4", - "ㄉㄨㄟ1" - ], - "𩜁": [ - "ㄌㄧㄥ2" - ], - "𩜃": [ - "ㄐㄩ4" - ], - "𩜆": [ - "ㄐㄧ1" - ], - "𩜇": [ - "ㄐㄩㄢ3", - "ㄐㄩㄢ4" - ], - "𩜊": [ - "ㄗ1" - ], - "𩜌": [ - "ㄩㄝ1" - ], - "𩜍": [ - "ㄉㄨㄥ1" - ], - "𩜒": [ - "ㄋㄤ3" - ], - "𩜖": [ - "ㄔㄨㄥ2" - ], - "𩜟": [ - "ㄤ4" - ], - "𩜣": [ - "ㄍㄥ1" - ], - "𩜥": [ - "ㄅㄛ1" - ], - "𩜦": [ - "ㄉㄧㄥ4" - ], - "𩜧": [ - "ㄨㄟ3" - ], - "𩜬": [ - "ㄑㄩㄢ2" - ], - "𩜭": [ - "ㄎㄜ1" - ], - "𩜰": [ - "ㄆㄧ4" - ], - "𩜱": [ - "ㄎㄢ3", - "ㄙㄢ3" - ], - "𩜲": [ - "ㄈㄨ2" - ], - "𩜳": [ - "ㄩㄥ3" - ], - "𩜵": [ - "ㄊㄨㄢ2" - ], - "𩜶": [ - "ㄊㄡ3" - ], - "𩜷": [ - "ㄧㄡ4", - "ㄋㄧㄡ4" - ], - "𩜸": [ - "ㄧㄠ1" - ], - "𩜺": [ - "ㄧㄝ1" - ], - "𩜽": [ - "ㄧㄢ4" - ], - "𩝈": [ - "ㄒㄧㄢ2" - ], - "𩝊": [ - "ㄊㄧ2" - ], - "𩝌": [ - "ㄙㄨㄟ4" - ], - "𩝐": [ - "ㄘ2" - ], - "𩝔": [ - "ㄒㄩ3" - ], - "𩝕": [ - "ㄨ4" - ], - "𩝖": [ - "ㄘㄢ1" - ], - "𩝗": [ - "ㄩ4" - ], - "𩝚": [ - "ㄔㄢ3" - ], - "𩝛": [ - "ㄒㄧㄚ2" - ], - "𩝝": [ - "ㄎㄠ4", - "ㄍㄠ1" - ], - "𩝞": [ - "ㄘㄤ1" - ], - "𩝟": [ - "ㄔㄚ1" - ], - "𩝠": [ - "ㄑㄧㄡ3" - ], - "𩝣": [ - "ㄉㄚ1" - ], - "𩝥": [ - "ㄙㄨ4" - ], - "𩝨": [ - "ㄏㄨㄚ1" - ], - "𩝷": [ - "ㄨ1" - ], - "𩝸": [ - "ㄩㄢ1" - ], - "𩝽": [ - "ㄐㄧㄤ4" - ], - "𩝾": [ - "ㄒㄧㄤ3" - ], - "𩝿": [ - "ㄓㄞ1" - ], - "𩞀": [ - "ㄙㄢ3", - "ㄔㄣ3", - "ㄘㄢ4" - ], - "𩞁": [ - "ㄇㄛ2", - "ㄇㄧ2" - ], - "𩞃": [ - "ㄕㄤ3", - "ㄒㄧㄤ3" - ], - "𩞄": [ - "ㄘㄠ2" - ], - "𩞅": [ - "ㄙㄨㄟ1" - ], - "𩞆": [ - "ㄔㄨㄤ2" - ], - "𩞇": [ - "ㄇㄧ2" - ], - "𩞈": [ - "ㄓㄨ2" - ], - "𩞉": [ - "ㄔㄨㄥ2" - ], - "𩞊": [ - "ㄐㄧ4" - ], - "𩞋": [ - "ㄔㄨㄥ2" - ], - "𩞙": [ - "ㄌㄧㄢ2" - ], - "𩞞": [ - "ㄏㄞ4" - ], - "𩞤": [ - "ㄉㄨㄣ1" - ], - "𩞥": [ - "ㄒㄧㄤ3" - ], - "𩞦": [ - "ㄔㄥ1" - ], - "𩞧": [ - "ㄕㄤ3" - ], - "𩞨": [ - "ㄌㄧ4" - ], - "𩞩": [ - "ㄏㄨㄤ2" - ], - "𩞬": [ - "ㄉㄥ4" - ], - "𩞯": [ - "ㄌㄧㄤ2" - ], - "𩞶": [ - "ㄗㄚ1" - ], - "𩞺": [ - "ㄏㄨㄛ4" - ], - "𩞻": [ - "ㄌㄧㄣ2" - ], - "𩞾": [ - "ㄉㄨ2", - "ㄧ4" - ], - "𩞿": [ - "ㄏㄢ4" - ], - "𩟀": [ - "ㄩㄥ1", - "ㄩㄥ3" - ], - "𩟁": [ - "ㄩㄢ4", - "ㄒㄩㄢ4" - ], - "𩟂": [ - "ㄍㄨㄛ4" - ], - "𩟃": [ - "ㄌㄧㄥ2" - ], - "𩟅": [ - "ㄌㄧㄢ3" - ], - "𩟇": [ - "ㄠ4" - ], - "𩟈": [ - "ㄉㄤ1" - ], - "𩟉": [ - "ㄧ4" - ], - "𩟊": [ - "ㄋㄨㄥ2" - ], - "𩟋": [ - "ㄕㄢ4" - ], - "𩟍": [ - "ㄒㄧㄣ4" - ], - "𩟐": [ - "ㄉㄚ2" - ], - "𩟑": [ - "ㄩ4" - ], - "𩟒": [ - "ㄘㄢ1" - ], - "𩟓": [ - "ㄨㄛ4" - ], - "𩟔": [ - "ㄔㄚ2" - ], - "𩟕": [ - "ㄅㄛ2" - ], - "𩟗": [ - "ㄐㄧㄢ3" - ], - "𩟞": [ - "ㄇㄥ2" - ], - "𩟟": [ - "ㄨㄟ3" - ], - "𩟠": [ - "ㄇㄛ2" - ], - "𩟥": [ - "ㄕㄨㄟ4", - "ㄐㄩㄢ3" - ], - "𩟦": [ - "ㄐㄧㄝ2" - ], - "𩟧": [ - "ㄕㄨㄛ4" - ], - "𩟨": [ - "ㄏㄨㄛ4" - ], - "𩟫": [ - "ㄔㄨㄛ4" - ], - "𩟭": [ - "ㄌㄨㄥ2" - ], - "𩟮": [ - "ㄏㄨㄞ4" - ], - "𩟰": [ - "ㄊㄨㄛ1" - ], - "𩟳": [ - "ㄩ2" - ], - "𩟶": [ - "ㄔㄢ4", - "ㄐㄧㄝ2" - ], - "𩟷": [ - "ㄩㄥ1" - ], - "𩟸": [ - "ㄏㄨㄛ4" - ], - "𩟺": [ - "ㄌㄢ3" - ], - "𩟿": [ - "ㄋㄚ4" - ], - "𩠀": [ - "ㄅㄚ1" - ], - "𩠁": [ - "ㄍㄢ1" - ], - "𩠂": [ - "ㄧ3" - ], - "𩠃": [ - "ㄐㄧㄚ2" - ], - "𩠅": [ - "ㄉㄚ2" - ], - "𩠆": [ - "ㄉㄧㄥ4" - ], - "𩠇": [ - "ㄒㄩㄣ4" - ], - "𩠈": [ - "ㄖㄣ3" - ], - "𩠉": [ - "ㄐㄩㄢ3" - ], - "𩠊": [ - "ㄊㄨㄢ2" - ], - "𩠋": [ - "ㄒㄩ3" - ], - "𩠌": [ - "ㄙㄨㄥ4" - ], - "𩠎": [ - "ㄘㄠ2" - ], - "𩠏": [ - "ㄔㄥ1" - ], - "𩠑": [ - "ㄉㄧㄥ3" - ], - "𩠚": [ - "ㄏㄞ2" - ], - "𩠟": [ - "ㄨ3" - ], - "𩠦": [ - "ㄑㄧ3", - "ㄕㄡ3" - ], - "𩠨": [ - "ㄐㄧ1", - "ㄑㄧ3" - ], - "𩠮": [ - "ㄎㄨㄟ2" - ], - "𩠯": [ - "ㄨㄟ2" - ], - "𩠶": [ - "ㄕㄡ3" - ], - "𩠷": [ - "ㄈㄨ2" - ], - "𩠹": [ - "ㄊㄨㄢ2" - ], - "𩠻": [ - "ㄅㄧㄝ2", - "ㄏㄢ1" - ], - "𩠽": [ - "ㄊㄢ2" - ], - "𩠾": [ - "ㄏㄤ1" - ], - "𩠿": [ - "ㄆㄧㄝ1" - ], - "𩡃": [ - "ㄩ2" - ], - "𩡄": [ - "ㄊㄢ2", - "ㄒㄧㄤ1" - ], - "𩡌": [ - "ㄒㄧㄤ1" - ], - "𩡎": [ - "ㄒㄧㄡ1" - ], - "𩡓": [ - "ㄨㄥ3" - ], - "𩡔": [ - "ㄏㄞ4" - ], - "𩡕": [ - "ㄆㄥ2" - ], - "𩡝": [ - "ㄊㄢ2" - ], - "𩡟": [ - "ㄅㄧㄝ2" - ], - "𩡠": [ - "ㄒㄧㄤ1" - ], - "𩡣": [ - "ㄧ3" - ], - "𩡦": [ - "ㄆㄧㄠ2" - ], - "𩡧": [ - "ㄏㄨㄢ2" - ], - "𩡨": [ - "ㄇㄨ3" - ], - "𩡩": [ - "ㄅㄚ1" - ], - "𩡫": [ - "ㄈㄢ4" - ], - "𩡯": [ - "ㄉㄧㄥ1" - ], - "𩡷": [ - "ㄈㄣ1", - "ㄈㄟ4" - ], - "𩡺": [ - "ㄐㄧㄝ4" - ], - "𩡾": [ - "ㄙㄨㄛ2" - ], - "𩢄": [ - "ㄨㄢ4" - ], - "𩢅": [ - "ㄍㄜ1" - ], - "𩢈": [ - "ㄈㄣ1" - ], - "𩢊": [ - "ㄊㄨㄛ2" - ], - "𩢌": [ - "ㄨㄣ2" - ], - "𩢍": [ - "ㄍㄨㄚ1" - ], - "𩢎": [ - "ㄉㄨㄛ1" - ], - "𩢐": [ - "ㄓㄜ2" - ], - "𩢑": [ - "ㄘ3" - ], - "𩢒": [ - "ㄧㄠ3" - ], - "𩢔": [ - "ㄅㄢ4" - ], - "𩢕": [ - "ㄅㄨ4" - ], - "𩢖": [ - "ㄇㄛ4" - ], - "𩢘": [ - "ㄆㄛ3" - ], - "𩢛": [ - "ㄍㄜ2" - ], - "𩢞": [ - "ㄌㄧㄡ2" - ], - "𩢡": [ - "ㄖㄢ3" - ], - "𩢨": [ - "ㄍㄢ1" - ], - "𩢪": [ - "ㄏㄨ2" - ], - "𩢫": [ - "ㄇㄡ2" - ], - "𩢮": [ - "ㄒㄧㄡ1" - ], - "𩢯": [ - "ㄏㄨㄤ1" - ], - "𩢰": [ - "ㄈㄨ2" - ], - "𩢱": [ - "ㄏㄨㄟ2" - ], - "𩢳": [ - "ㄑㄩ2" - ], - "𩢴": [ - "ㄐㄧㄝ2", - "ㄐㄧ2" - ], - "𩢵": [ - "ㄊㄨㄛ1" - ], - "𩢶": [ - "ㄩ2" - ], - "𩢷": [ - "ㄇㄛ4" - ], - "𩢸": [ - "ㄓㄡ1" - ], - "𩢹": [ - "ㄐㄧㄡ4" - ], - "𩢻": [ - "ㄕㄨ2" - ], - "𩢼": [ - "ㄎㄨㄤ1" - ], - "𩢽": [ - "ㄑㄩㄥ2" - ], - "𩢾": [ - "ㄌㄧㄝ4" - ], - "𩢿": [ - "ㄈㄨ4" - ], - "𩣊": [ - "ㄒㄩ4" - ], - "𩣖": [ - "ㄌㄧㄣ4" - ], - "𩣘": [ - "ㄋㄧㄝ4" - ], - "𩣚": [ - "ㄆㄧ1", - "ㄅㄧ3" - ], - "𩣜": [ - "ㄈㄨ4" - ], - "𩣝": [ - "ㄅㄨ4" - ], - "𩣞": [ - "ㄧ4", - "ㄙㄚ4" - ], - "𩣡": [ - "ㄅㄛ2" - ], - "𩣣": [ - "ㄜ2", - "ㄜ3" - ], - "𩣩": [ - "ㄓㄜ2" - ], - "𩣫": [ - "ㄌㄧ4" - ], - "𩣮": [ - "ㄊㄨ4" - ], - "𩣯": [ - "ㄉㄚ2" - ], - "𩣱": [ - "ㄌㄨ4" - ], - "𩣲": [ - "ㄧㄢ1" - ], - "𩣳": [ - "ㄉㄨㄥ1" - ], - "𩣴": [ - "ㄑㄧㄝ4" - ], - "𩣵": [ - "ㄨㄢ3", - "ㄨㄛ4" - ], - "𩣶": [ - "ㄇㄧㄥ3" - ], - "𩣷": [ - "ㄗㄨㄟ1", - "ㄓㄨ4" - ], - "𩣸": [ - "ㄈㄨ4" - ], - "𩣹": [ - "ㄑㄩ1" - ], - "𩣺": [ - "ㄅㄣ1" - ], - "𩣻": [ - "ㄠ3" - ], - "𩣼": [ - "ㄑㄧㄤ1" - ], - "𩤁": [ - "ㄑㄩㄣ1" - ], - "𩤈": [ - "ㄑㄩㄝ4" - ], - "𩤉": [ - "ㄏㄨㄚ2", - "ㄊㄠ2" - ], - "𩤊": [ - "ㄒㄧㄢ4", - "ㄐㄧㄢ4" - ], - "𩤋": [ - "ㄎㄨㄣ4" - ], - "𩤏": [ - "ㄘㄨㄟ4" - ], - "𩤒": [ - "ㄧ2" - ], - "𩤖": [ - "ㄔ1", - "ㄦ2" - ], - "𩤗": [ - "ㄗㄨㄥ4" - ], - "𩤘": [ - "ㄋㄠ3" - ], - "𩤙": [ - "ㄔㄥ2" - ], - "𩤚": [ - "ㄉㄨㄢ1" - ], - "𩤛": [ - "ㄩㄥ2" - ], - "𩤜": [ - "ㄓㄜ3" - ], - "𩤞": [ - "ㄊㄢ4" - ], - "𩤟": [ - "ㄧㄤ2" - ], - "𩤠": [ - "ㄒㄧㄝ2" - ], - "𩤡": [ - "ㄒㄩㄢ1" - ], - "𩤣": [ - "ㄉㄨㄢ4" - ], - "𩤤": [ - "ㄕㄨㄚ3" - ], - "𩤥": [ - "ㄒㄧㄢ2" - ], - "𩤦": [ - "ㄒㄧㄢ2" - ], - "𩤩": [ - "ㄜ2" - ], - "𩤲": [ - "ㄌㄚ1" - ], - "𩤸": [ - "ㄨㄟ4" - ], - "𩤹": [ - "ㄧㄡ1" - ], - "𩤺": [ - "ㄩ2" - ], - "𩤽": [ - "ㄊㄧ1" - ], - "𩤿": [ - "ㄐㄧㄣ1" - ], - "𩥁": [ - "ㄊㄤ2" - ], - "𩥂": [ - "ㄑㄧ2" - ], - "𩥄": [ - "ㄉㄧㄢ1" - ], - "𩥅": [ - "ㄊㄠ1" - ], - "𩥆": [ - "ㄌㄩ4" - ], - "𩥇": [ - "ㄓㄢ4" - ], - "𩥈": [ - "ㄨㄣ1" - ], - "𩥉": [ - "ㄐㄧ4" - ], - "𩥊": [ - "ㄠ1", - "ㄐㄧㄠ1" - ], - "𩥋": [ - "ㄡ4", - "ㄉㄨ2" - ], - "𩥌": [ - "ㄑㄧㄚ4" - ], - "𩥐": [ - "ㄕ1" - ], - "𩥑": [ - "ㄊㄚ3" - ], - "𩥔": [ - "ㄇㄛ4" - ], - "𩥘": [ - "ㄧㄡ2" - ], - "𩥠": [ - "ㄓㄚ2" - ], - "𩥣": [ - "ㄧㄠ2" - ], - "𩥫": [ - "ㄔㄨㄥ1" - ], - "𩥬": [ - "ㄌㄧ2" - ], - "𩥭": [ - "ㄩ2" - ], - "𩥮": [ - "ㄔㄢ3" - ], - "𩥯": [ - "ㄧ1" - ], - "𩥲": [ - "ㄔ4" - ], - "𩥴": [ - "ㄌㄧ2" - ], - "𩥽": [ - "ㄊㄨ2" - ], - "𩥿": [ - "ㄗㄨ2" - ], - "𩦂": [ - "ㄒㄧㄢ2" - ], - "𩦇": [ - "ㄒㄧ4" - ], - "𩦉": [ - "ㄅㄧㄝ2" - ], - "𩦊": [ - "ㄏㄢ2", - "ㄑㄧㄢ1" - ], - "𩦋": [ - "ㄑㄧ2" - ], - "𩦌": [ - "ㄙㄤ1", - "ㄕㄨㄤ1" - ], - "𩦎": [ - "ㄈㄟ1", - "ㄈㄟ3" - ], - "𩦐": [ - "ㄕㄢ4", - "ㄏㄨㄛ1" - ], - "𩦘": [ - "ㄏㄨㄢ1" - ], - "𩦠": [ - "ㄅㄤ4" - ], - "𩦡": [ - "ㄩ2" - ], - "𩦢": [ - "ㄩ2" - ], - "𩦤": [ - "ㄐㄧ2" - ], - "𩦱": [ - "ㄎㄨㄞ3" - ], - "𩦲": [ - "ㄗㄨㄥ1" - ], - "𩦹": [ - "ㄒㄧㄢ4" - ], - "𩦺": [ - "ㄇㄥ2" - ], - "𩧃": [ - "ㄌㄧ4" - ], - "𩧄": [ - "ㄓ4" - ], - "𩧅": [ - "ㄈㄢ2" - ], - "𩧆": [ - "ㄌㄧㄝ4", - "ㄌㄚ4" - ], - "𩧇": [ - "ㄘㄞ4" - ], - "𩧈": [ - "ㄉㄨ2" - ], - "𩧉": [ - "ㄍㄨㄤ1" - ], - "𩧊": [ - "ㄒㄩㄥ4" - ], - "𩧋": [ - "ㄌㄧ2" - ], - "𩧌": [ - "ㄑㄧ4" - ], - "𩧏": [ - "ㄐㄩㄝ2" - ], - "𩧐": [ - "ㄊㄨㄛ1" - ], - "𩧒": [ - "ㄐㄩ4" - ], - "𩧓": [ - "ㄒㄧㄠ1" - ], - "𩧘": [ - "ㄑㄩ2" - ], - "𩧜": [ - "ㄓㄨㄢ3" - ], - "𩧡": [ - "ㄐㄩㄝ2" - ], - "𩧦": [ - "ㄐㄧㄝ4" - ], - "𩧨": [ - "ㄓㄡ4" - ], - "𩧩": [ - "ㄒㄧㄢ4" - ], - "𩧪": [ - "ㄌㄨㄥ2" - ], - "𩧫": [ - "ㄧㄤ3" - ], - "𩧬": [ - "ㄖㄢ3" - ], - "𩧭": [ - "ㄧ4" - ], - "𩧮": [ - "ㄌㄧㄝ4" - ], - "𩧯": [ - "ㄅㄛ1" - ], - "𩧰": [ - "ㄏㄨㄣ2" - ], - "𩧱": [ - "ㄐㄧ4" - ], - "𩧲": [ - "ㄉㄨㄥ4" - ], - "𩧳": [ - "ㄓㄡ1" - ], - "𩧴": [ - "ㄑㄩㄢ1" - ], - "𩧵": [ - "ㄐㄧㄝ2" - ], - "𩧺": [ - "ㄐㄩ2" - ], - "𩧼": [ - "ㄅㄣ1" - ], - "𩧿": [ - "ㄅㄧ1" - ], - "𩨀": [ - "ㄍㄜ2" - ], - "𩨁": [ - "ㄔㄨㄣ3" - ], - "𩨃": [ - "ㄑㄧㄢ2" - ], - "𩨄": [ - "ㄙㄡ1" - ], - "𩨅": [ - "ㄨㄟ4" - ], - "𩨆": [ - "ㄔㄥ2" - ], - "𩨇": [ - "ㄌㄡ2" - ], - "𩨈": [ - "ㄩ2" - ], - "𩨉": [ - "ㄌㄚ1" - ], - "𩨊": [ - "ㄑㄧㄢ2" - ], - "𩨋": [ - "ㄉㄧㄢ1" - ], - "𩨌": [ - "ㄊㄚ3" - ], - "𩨍": [ - "ㄓㄢ4" - ], - "𩨏": [ - "ㄈㄢ2" - ], - "𩨐": [ - "ㄌㄧㄝ4" - ], - "𩨑": [ - "ㄊㄧㄥ1" - ], - "𩨒": [ - "ㄐㄧ1" - ], - "𩨓": [ - "ㄑㄧㄢ1" - ], - "𩨔": [ - "ㄏㄨ2", - "ㄏㄨㄚ2" - ], - "𩨗": [ - "ㄩ2" - ], - "𩨘": [ - "ㄑㄧ4", - "ㄍㄜ1" - ], - "𩨙": [ - "ㄩ2" - ], - "𩨚": [ - "ㄨㄚ1" - ], - "𩨜": [ - "ㄅㄚ4" - ], - "𩨝": [ - "ㄑㄧ2" - ], - "𩨞": [ - "ㄙㄚ3" - ], - "𩨟": [ - "ㄑㄧㄠ1" - ], - "𩨠": [ - "ㄧㄚ4" - ], - "𩨡": [ - "ㄒㄧㄢ3", - "ㄙㄢ3" - ], - "𩨨": [ - "ㄘ1" - ], - "𩨩": [ - "ㄈㄢ4" - ], - "𩨫": [ - "ㄎㄨㄣ3" - ], - "𩨬": [ - "ㄍㄨㄣ3" - ], - "𩨭": [ - "ㄑㄩㄝ1" - ], - "𩨮": [ - "ㄜ4" - ], - "𩨯": [ - "ㄑㄩㄥ2" - ], - "𩨲": [ - "ㄇㄚ4" - ], - "𩨳": [ - "ㄎㄨ1", - "ㄉㄨ1" - ], - "𩨴": [ - "ㄧㄠ3" - ], - "𩨷": [ - "ㄑㄩㄝ1" - ], - "𩨸": [ - "ㄔㄨ1" - ], - "𩨹": [ - "ㄐㄧㄚ3" - ], - "𩨻": [ - "ㄓㄨ3" - ], - "𩨽": [ - "ㄉㄨㄟ1" - ], - "𩨾": [ - "ㄨㄚ2" - ], - "𩩀": [ - "ㄋㄠ3" - ], - "𩩄": [ - "ㄧㄢ2" - ], - "𩩅": [ - "ㄊㄨㄥ2" - ], - "𩩋": [ - "ㄒㄧㄥ2", - "ㄐㄧㄥ4" - ], - "𩩌": [ - "ㄍㄨㄣ3" - ], - "𩩍": [ - "ㄆㄧㄥ1" - ], - "𩩑": [ - "ㄩ3" - ], - "𩩒": [ - "ㄏㄜ4" - ], - "𩩔": [ - "ㄓㄨㄛ2" - ], - "𩩗": [ - "ㄕㄜ1" - ], - "𩩘": [ - "ㄩ3" - ], - "𩩛": [ - "ㄐㄧ4" - ], - "𩩝": [ - "ㄑㄧㄤ1" - ], - "𩩞": [ - "ㄕㄨㄟ4" - ], - "𩩟": [ - "ㄔㄨㄛ4" - ], - "𩩠": [ - "ㄗㄨ2" - ], - "𩩡": [ - "ㄌㄥ2" - ], - "𩩢": [ - "ㄋㄧ2" - ], - "𩩤": [ - "ㄨㄚ1" - ], - "𩩥": [ - "ㄓㄚ2" - ], - "𩩧": [ - "ㄉㄢ4" - ], - "𩩮": [ - "ㄉㄨ4" - ], - "𩩯": [ - "ㄅㄧㄢ4" - ], - "𩩰": [ - "ㄐㄧㄝ1", - "ㄏㄞ2" - ], - "𩩱": [ - "ㄑㄧㄚ4" - ], - "𩩲": [ - "ㄏㄜ2" - ], - "𩩳": [ - "ㄔㄨㄥ4" - ], - "𩩴": [ - "ㄧㄢ2" - ], - "𩩶": [ - "ㄧㄢ4" - ], - "𩩺": [ - "ㄙㄨㄥ2" - ], - "𩩻": [ - "ㄊㄥ2" - ], - "𩩼": [ - "ㄧㄠ3" - ], - "𩩾": [ - "ㄎㄠ1" - ], - "𩪀": [ - "ㄓㄨㄟ1" - ], - "𩪁": [ - "ㄍㄨㄟ4" - ], - "𩪂": [ - "ㄞ2" - ], - "𩪃": [ - "ㄏㄞ4" - ], - "𩪈": [ - "ㄙㄨㄛ3" - ], - "𩪉": [ - "ㄒㄩ4" - ], - "𩪊": [ - "ㄅㄧㄠ1" - ], - "𩪌": [ - "ㄈㄥ4" - ], - "𩪍": [ - "ㄑㄩ1", - "ㄕㄨ1" - ], - "𩪎": [ - "ㄇㄤ3" - ], - "𩪐": [ - "ㄍㄨㄛ2" - ], - "𩪖": [ - "ㄅㄧ4" - ], - "𩪗": [ - "ㄐㄩㄝ2" - ], - "𩪘": [ - "ㄔㄨㄤ2" - ], - "𩪛": [ - "ㄆㄨ2" - ], - "𩪟": [ - "ㄧ4" - ], - "𩪢": [ - "ㄑㄧㄢ1" - ], - "𩪣": [ - "ㄧ4" - ], - "𩪤": [ - "ㄜ4" - ], - "𩪥": [ - "ㄌㄧㄥ2" - ], - "𩪧": [ - "ㄅㄧ4" - ], - "𩪭": [ - "ㄏㄨㄛ4" - ], - "𩪮": [ - "ㄇㄛ3", - "ㄇㄛ2" - ], - "𩪱": [ - "ㄒㄩㄣ1" - ], - "𩪴": [ - "ㄧㄢ4" - ], - "𩪸": [ - "ㄌㄧ4" - ], - "𩪺": [ - "ㄊㄢ2" - ], - "𩪾": [ - "ㄌㄨㄢ2" - ], - "𩫀": [ - "ㄎㄞ4" - ], - "𩫁": [ - "ㄇㄠ4" - ], - "𩫂": [ - "ㄒㄧㄠ1" - ], - "𩫇": [ - "ㄞ3" - ], - "𩫊": [ - "ㄊㄚ3" - ], - "𩫍": [ - "ㄇㄟ4" - ], - "𩫏": [ - "ㄍㄨㄛ1", - "ㄩㄥ1" - ], - "𩫓": [ - "ㄍㄠ3" - ], - "𩫔": [ - "ㄋㄠ2" - ], - "𩫕": [ - "ㄏㄠ2" - ], - "𩫠": [ - "ㄑㄩㄝ1" - ], - "𩫥": [ - "ㄘㄠ2" - ], - "𩫦": [ - "ㄙㄠ4" - ], - "𩫫": [ - "ㄆㄧ2" - ], - "𩫲": [ - "ㄒㄧㄝ1" - ], - "𩫳": [ - "ㄒㄧㄠ1" - ], - "𩫴": [ - "ㄐㄩ2" - ], - "𩫹": [ - "ㄔㄥ2" - ], - "𩫺": [ - "ㄋㄠ3" - ], - "𩬀": [ - "ㄋㄟ4" - ], - "𩬍": [ - "ㄇㄨ3" - ], - "𩬏": [ - "ㄕㄠ1" - ], - "𩬑": [ - "ㄉㄧㄢ1", - "ㄔㄢ1" - ], - "𩬔": [ - "ㄌㄧㄥ2" - ], - "𩬖": [ - "ㄓㄣ3" - ], - "𩬗": [ - "ㄧㄠ3" - ], - "𩬙": [ - "ㄈㄨ4", - "ㄈㄨ1" - ], - "𩬚": [ - "ㄑㄧㄢ2", - "ㄍㄢ4" - ], - "𩬛": [ - "ㄑㄩㄥ2" - ], - "𩬜": [ - "ㄐㄩ2" - ], - "𩬝": [ - "ㄅㄧㄥ4", - "ㄈㄤ3" - ], - "𩬞": [ - "ㄇㄠ2", - "ㄇㄢ2", - "ㄇㄧㄢ2" - ], - "𩬟": [ - "ㄓㄚ4" - ], - "𩬠": [ - "ㄊㄞ1" - ], - "𩬤": [ - "ㄔㄨㄥ1" - ], - "𩬫": [ - "ㄓㄞ3" - ], - "𩬭": [ - "ㄕ1" - ], - "𩬮": [ - "ㄩㄥ4" - ], - "𩬰": [ - "ㄑㄩㄥ2" - ], - "𩬱": [ - "ㄉㄠ4" - ], - "𩬲": [ - "ㄊㄧ4" - ], - "𩬳": [ - "ㄓㄨㄟ3" - ], - "𩬵": [ - "ㄧㄣ4" - ], - "𩬷": [ - "ㄋㄠ3" - ], - "𩬸": [ - "ㄅㄛ1" - ], - "𩬹": [ - "ㄎㄨㄤ1" - ], - "𩬺": [ - "ㄓ3" - ], - "𩬻": [ - "ㄉㄨㄛ3" - ], - "𩬼": [ - "ㄘㄨㄥ1" - ], - "𩬽": [ - "ㄅㄠ3" - ], - "𩭇": [ - "ㄌㄧ2" - ], - "𩭊": [ - "ㄐㄩ2" - ], - "𩭋": [ - "ㄨㄣ2", - "ㄎㄨㄣ1" - ], - "𩭌": [ - "ㄌㄧㄝ4" - ], - "𩭏": [ - "ㄨㄛ3" - ], - "𩭐": [ - "ㄕ3" - ], - "𩭑": [ - "ㄋㄧㄠ3" - ], - "𩭒": [ - "ㄇㄤ2" - ], - "𩭓": [ - "ㄐㄧㄡ1" - ], - "𩭘": [ - "ㄒㄧㄡ1" - ], - "𩭝": [ - "ㄨㄛ3" - ], - "𩭟": [ - "ㄉㄠ4" - ], - "𩭡": [ - "ㄒㄧ1" - ], - "𩭢": [ - "ㄢ4" - ], - "𩭣": [ - "ㄉㄚ2" - ], - "𩭤": [ - "ㄗㄨㄥ3", - "ㄗㄨㄥ1" - ], - "𩭥": [ - "ㄏㄢ4" - ], - "𩭦": [ - "ㄔㄨㄟ2" - ], - "𩭧": [ - "ㄅㄧ1", - "ㄅㄢ1" - ], - "𩭩": [ - "ㄉㄨㄥ4" - ], - "𩭫": [ - "ㄓㄤ3" - ], - "𩭯": [ - "ㄧㄚ1" - ], - "𩭲": [ - "ㄉㄧ2" - ], - "𩭳": [ - "ㄏㄨㄛ1" - ], - "𩭷": [ - "ㄇㄧㄣ2" - ], - "𩭺": [ - "ㄈㄨ4" - ], - "𩭼": [ - "ㄅㄠ3" - ], - "𩭽": [ - "ㄎㄜ4" - ], - "𩭾": [ - "ㄇㄠ2" - ], - "𩭿": [ - "ㄖㄜ4" - ], - "𩮀": [ - "ㄗㄨㄥ1", - "ㄗㄨㄥ3", - "ㄙㄨㄥ1" - ], - "𩮁": [ - "ㄑㄧㄚ4" - ], - "𩮂": [ - "ㄒㄧㄚ1" - ], - "𩮃": [ - "ㄙㄡ1" - ], - "𩮄": [ - "ㄒㄧㄡ1" - ], - "𩮅": [ - "ㄋㄚ4" - ], - "𩮉": [ - "ㄇㄢ2", - "ㄇㄧㄢ2" - ], - "𩮎": [ - "ㄓㄚ1" - ], - "𩮏": [ - "ㄔㄢ2" - ], - "𩮐": [ - "ㄕㄜ4" - ], - "𩮑": [ - "ㄨㄛ3" - ], - "𩮖": [ - "ㄞ2" - ], - "𩮗": [ - "ㄅㄤ4", - "ㄆㄥ2", - "ㄈㄤ3" - ], - "𩮘": [ - "ㄏㄠ1" - ], - "𩮚": [ - "ㄙㄠ1" - ], - "𩮛": [ - "ㄙㄨㄛ3" - ], - "𩮜": [ - "ㄊㄧ4" - ], - "𩮝": [ - "ㄧㄚ4" - ], - "𩮟": [ - "ㄅㄧㄥ4" - ], - "𩮠": [ - "ㄖㄨㄥ2" - ], - "𩮫": [ - "ㄕㄚ1" - ], - "𩮬": [ - "ㄨㄥ3" - ], - "𩮯": [ - "ㄠ2" - ], - "𩮱": [ - "ㄓㄨㄤ1" - ], - "𩮳": [ - "ㄆㄧㄠ4", - "ㄆㄧㄠ3", - "ㄆㄧㄝ1" - ], - "𩮴": [ - "ㄙㄨㄟ1", - "ㄘㄨㄟ3" - ], - "𩮵": [ - "ㄧ1" - ], - "𩮶": [ - "ㄙㄡ1" - ], - "𩮷": [ - "ㄉㄡ1" - ], - "𩮸": [ - "ㄙㄡ1", - "ㄋㄚ4" - ], - "𩮹": [ - "ㄌㄨㄛ2" - ], - "𩯃": [ - "ㄈㄟ4", - "ㄅㄧ4" - ], - "𩯄": [ - "ㄗㄨㄣ4" - ], - "𩯆": [ - "ㄋㄠ4" - ], - "𩯇": [ - "ㄉㄥ1" - ], - "𩯈": [ - "ㄓ2" - ], - "𩯉": [ - "ㄘㄨㄛ1" - ], - "𩯊": [ - "ㄌㄧㄠ2" - ], - "𩯋": [ - "ㄐㄧ3" - ], - "𩯌": [ - "ㄅㄛ1" - ], - "𩯍": [ - "ㄘㄨㄥ2" - ], - "𩯎": [ - "ㄔㄥ2" - ], - "𩯏": [ - "ㄅㄨ3" - ], - "𩯑": [ - "ㄙㄢ1" - ], - "𩯒": [ - "ㄗㄢ4" - ], - "𩯘": [ - "ㄐㄧㄠ4" - ], - "𩯛": [ - "ㄧㄠ4" - ], - "𩯜": [ - "ㄌㄨ3" - ], - "𩯞": [ - "ㄘㄢ4" - ], - "𩯨": [ - "ㄋㄧ3" - ], - "𩯰": [ - "ㄐㄧㄝ2", - "ㄐㄧ4" - ], - "𩯱": [ - "ㄆㄨ2" - ], - "𩯲": [ - "ㄓㄨㄤ4" - ], - "𩯳": [ - "ㄗㄢ4", - "ㄗㄨㄢ3", - "ㄗㄚ1" - ], - "𩯺": [ - "ㄌㄧ4" - ], - "𩯽": [ - "ㄌㄚ4" - ], - "𩰀": [ - "ㄔㄨㄥ1" - ], - "𩰃": [ - "ㄓㄢ4" - ], - "𩰍": [ - "ㄅㄧㄢ4" - ], - "𩰎": [ - "ㄨㄥ1" - ], - "𩰓": [ - "ㄏㄨㄥ4" - ], - "𩰗": [ - "ㄆㄧㄣ1" - ], - "𩰙": [ - "ㄙㄜ4" - ], - "𩰞": [ - "ㄋㄧ3" - ], - "𩰟": [ - "ㄈㄣ1" - ], - "𩰠": [ - "ㄒㄩ3" - ], - "𩰢": [ - "ㄕ3" - ], - "𩰤": [ - "ㄐㄩ4" - ], - "𩰨": [ - "ㄐㄩㄝ2" - ], - "𩰪": [ - "ㄩ4" - ], - "𩰬": [ - "ㄍㄨㄛ1", - "ㄨㄞ1" - ], - "𩰭": [ - "ㄍㄨㄛ1" - ], - "𩰯": [ - "ㄏㄨ2" - ], - "𩰲": [ - "ㄌㄧ4", - "ㄈㄟ4" - ], - "𩰳": [ - "ㄒㄧㄝ2" - ], - "𩰴": [ - "ㄦ2" - ], - "𩰵": [ - "ㄩㄢ2" - ], - "𩰶": [ - "ㄏㄞ2", - "ㄅㄣ4" - ], - "𩰹": [ - "ㄐㄧㄥ4" - ], - "𩰻": [ - "ㄎㄜ4" - ], - "𩰽": [ - "ㄗㄨㄥ1" - ], - "𩰾": [ - "ㄈㄟ4" - ], - "𩱀": [ - "ㄆㄥ1" - ], - "𩱁": [ - "ㄍㄥ1" - ], - "𩱃": [ - "ㄐㄧㄢ1" - ], - "𩱄": [ - "ㄋㄧ2" - ], - "𩱆": [ - "ㄒㄧㄢ2" - ], - "𩱇": [ - "ㄌㄧ4" - ], - "𩱈": [ - "ㄔㄠ3" - ], - "𩱊": [ - "ㄦ2", - "ㄒㄧㄢ4" - ], - "𩱋": [ - "ㄍㄥ1", - "ㄆㄥ1" - ], - "𩱌": [ - "ㄩ4" - ], - "𩱍": [ - "ㄏㄨ2" - ], - "𩱎": [ - "ㄈㄟ4" - ], - "𩱏": [ - "ㄠ2" - ], - "𩱓": [ - "ㄦ3" - ], - "𩱘": [ - "ㄎㄜ4" - ], - "𩱙": [ - "ㄎㄨ4" - ], - "𩱚": [ - "ㄅㄛ2" - ], - "𩱝": [ - "ㄧㄝ4" - ], - "𩱞": [ - "ㄐㄧㄠ4" - ], - "𩱦": [ - "ㄔㄠ3" - ], - "𩱧": [ - "ㄍㄥ1" - ], - "𩱨": [ - "ㄖㄨ4" - ], - "𩱪": [ - "ㄩㄝ4" - ], - "𩱬": [ - "ㄌㄧㄣ2" - ], - "𩱱": [ - "ㄩ4" - ], - "𩱲": [ - "ㄩㄝ4" - ], - "𩱳": [ - "ㄓㄞ1" - ], - "𩱴": [ - "ㄒㄧㄠ1" - ], - "𩱷": [ - "ㄇㄧㄝ4" - ], - "𩱻": [ - "ㄍㄨㄟ3" - ], - "𩱼": [ - "ㄐㄧㄡ1" - ], - "𩱾": [ - "ㄊㄨㄛ4" - ], - "𩲁": [ - "ㄒㄧ2" - ], - "𩲂": [ - "ㄨㄟ3" - ], - "𩲃": [ - "ㄓㄨㄛ2" - ], - "𩲄": [ - "ㄨㄟ4" - ], - "𩲅": [ - "ㄎㄨㄟ2" - ], - "𩲈": [ - "ㄇㄟ4", - "ㄨㄟ2" - ], - "𩲊": [ - "ㄏㄠ4" - ], - "𩲋": [ - "ㄏㄤ1" - ], - "𩲌": [ - "ㄈㄤ1" - ], - "𩲍": [ - "ㄋㄧㄡ2" - ], - "𩲎": [ - "ㄧㄡ4" - ], - "𩲏": [ - "ㄏㄨㄚ4" - ], - "𩲒": [ - "ㄌㄤ4" - ], - "𩲠": [ - "ㄓㄨ2" - ], - "𩲡": [ - "ㄍㄨㄟ3" - ], - "𩲢": [ - "ㄅㄧ4", - "ㄇㄟ4" - ], - "𩲣": [ - "ㄐㄧㄚ3" - ], - "𩲤": [ - "ㄊㄧㄠ2" - ], - "𩲦": [ - "ㄌㄩ4" - ], - "𩲧": [ - "ㄎㄨㄥ3" - ], - "𩲨": [ - "ㄗㄨㄟ3" - ], - "𩲩": [ - "ㄌㄧㄥ2" - ], - "𩲪": [ - "ㄑㄧ2" - ], - "𩲬": [ - "ㄓㄨ2" - ], - "𩲱": [ - "ㄍㄨ3" - ], - "𩲲": [ - "ㄗㄨ4" - ], - "𩲴": [ - "ㄧㄤ1" - ], - "𩲵": [ - "ㄙㄨ1" - ], - "𩲷": [ - "ㄎㄨㄟ2" - ], - "𩲹": [ - "ㄔㄤ1" - ], - "𩲻": [ - "ㄧㄠ2" - ], - "𩲾": [ - "ㄩ4" - ], - "𩳅": [ - "ㄕㄨ1" - ], - "𩳆": [ - "ㄌㄞ4" - ], - "𩳇": [ - "ㄧ4" - ], - "𩳈": [ - "ㄉㄡ1" - ], - "𩳌": [ - "ㄨ2" - ], - "𩳍": [ - "ㄧㄥ3" - ], - "𩳎": [ - "ㄈㄨ2" - ], - "𩳏": [ - "ㄓㄨㄢ4" - ], - "𩳐": [ - "ㄈㄨ3" - ], - "𩳒": [ - "ㄙㄨ4" - ], - "𩳓": [ - "ㄌㄧ3" - ], - "𩳔": [ - "ㄧㄠ4" - ], - "𩳕": [ - "ㄊㄨㄟ4", - "ㄊㄧ4" - ], - "𩳝": [ - "ㄍㄨㄟ4" - ], - "𩳡": [ - "ㄌㄩ4" - ], - "𩳢": [ - "ㄧㄢ4" - ], - "𩳣": [ - "ㄑㄧ2" - ], - "𩳤": [ - "ㄌㄤ4", - "ㄔㄤ1" - ], - "𩳥": [ - "ㄓㄨ2" - ], - "𩳧": [ - "ㄍㄨㄟ3" - ], - "𩳨": [ - "ㄏㄨ1" - ], - "𩳯": [ - "ㄐㄧㄥ1" - ], - "𩳲": [ - "ㄔ3" - ], - "𩳵": [ - "ㄐㄩ2" - ], - "𩳶": [ - "ㄓㄚ2" - ], - "𩳸": [ - "ㄇㄧㄠ2" - ], - "𩴀": [ - "ㄓㄨ1" - ], - "𩴁": [ - "ㄍㄢ1" - ], - "𩴂": [ - "ㄒㄩㄥ1" - ], - "𩴃": [ - "ㄐㄧ2" - ], - "𩴇": [ - "ㄕㄞ4" - ], - "𩴈": [ - "ㄇㄟ4" - ], - "𩴉": [ - "ㄩㄣ4" - ], - "𩴍": [ - "ㄕㄡ4" - ], - "𩴐": [ - "ㄌㄩ4" - ], - "𩴑": [ - "ㄧㄡ4" - ], - "𩴒": [ - "ㄐㄧㄤ4" - ], - "𩴓": [ - "ㄋㄨㄛ2" - ], - "𩴘": [ - "ㄐㄩ4" - ], - "𩴙": [ - "ㄧㄡ4" - ], - "𩴜": [ - "ㄧ4" - ], - "𩴝": [ - "ㄊㄥ2" - ], - "𩴞": [ - "ㄨㄟ2" - ], - "𩴟": [ - "ㄔㄜ3" - ], - "𩴠": [ - "ㄌㄧㄣ4" - ], - "𩴡": [ - "ㄍㄨ4" - ], - "𩴣": [ - "ㄌㄧ4" - ], - "𩴤": [ - "ㄌㄧㄠ4" - ], - "𩴧": [ - "ㄐㄧㄠ1" - ], - "𩴨": [ - "ㄧㄤ2" - ], - "𩴩": [ - "ㄅㄧㄠ1" - ], - "𩴪": [ - "ㄑㄧ2" - ], - "𩴮": [ - "ㄧ4" - ], - "𩴱": [ - "ㄅㄧㄣ1" - ], - "𩴲": [ - "ㄇㄥ2" - ], - "𩴳": [ - "ㄔㄚ4" - ], - "𩴵": [ - "ㄍㄢ1" - ], - "𩴹": [ - "ㄑㄩ2" - ], - "𩴺": [ - "ㄉㄧ2" - ], - "𩴻": [ - "ㄌㄟ2" - ], - "𩵀": [ - "ㄌㄧㄥ2" - ], - "𩵄": [ - "ㄏㄨㄢ1" - ], - "𩵅": [ - "ㄑㄩ2" - ], - "𩵇": [ - "ㄌㄨㄛ2" - ], - "𩵉": [ - "ㄎㄨㄟ2" - ], - "𩵍": [ - "ㄑㄧㄡ2" - ], - "𩵎": [ - "ㄩ3", - "ㄩ2" - ], - "𩵏": [ - "ㄏㄨㄚ4" - ], - "𩵓": [ - "ㄌㄟ4" - ], - "𩵕": [ - "ㄖㄣ4", - "ㄉㄠ1" - ], - "𩵖": [ - "ㄒㄧㄠ3" - ], - "𩵗": [ - "ㄙ4" - ], - "𩵚": [ - "ㄉㄨ4" - ], - "𩵛": [ - "ㄅㄧㄝ1" - ], - "𩵠": [ - "ㄋㄧㄡ2", - "ㄨㄟ3" - ], - "𩵢": [ - "ㄏㄜ4", - "ㄗㄚ1" - ], - "𩵣": [ - "ㄆㄟ1" - ], - "𩵥": [ - "ㄈㄟ4" - ], - "𩵦": [ - "ㄇㄨ4" - ], - "𩵩": [ - "ㄈㄨ1" - ], - "𩵬": [ - "ㄏㄨ2" - ], - "𩵭": [ - "ㄨㄤ2" - ], - "𩵮": [ - "ㄕㄚ1", - "ㄒㄧㄠ3" - ], - "𩵰": [ - "ㄐㄧㄠ1", - "ㄑㄧㄡ1" - ], - "𩵱": [ - "ㄨ3" - ], - "𩵹": [ - "ㄈㄨ4" - ], - "𩶁": [ - "ㄅㄧㄥ3" - ], - "𩶂": [ - "ㄓㄨ4" - ], - "𩶄": [ - "ㄓㄨ2" - ], - "𩶅": [ - "ㄔ1" - ], - "𩶇": [ - "ㄕㄣ3" - ], - "𩶈": [ - "ㄏㄨ1" - ], - "𩶉": [ - "ㄅㄨ1" - ], - "𩶎": [ - "ㄖㄢ3" - ], - "𩶖": [ - "ㄇㄨ4" - ], - "𩶘": [ - "ㄌㄧ4" - ], - "𩶛": [ - "ㄐㄧㄚ1" - ], - "𩶞": [ - "ㄇㄚ4", - "ㄏㄤ2" - ], - "𩶡": [ - "ㄇㄥ2" - ], - "𩶢": [ - "ㄇㄡ2" - ], - "𩶣": [ - "ㄓㄡ1" - ], - "𩶤": [ - "ㄒㄧㄢ3" - ], - "𩶥": [ - "ㄏㄨㄟ3", - "ㄏㄨㄥ2" - ], - "𩶦": [ - "ㄍㄨㄞ4" - ], - "𩶧": [ - "ㄐㄧㄡ4" - ], - "𩶩": [ - "ㄇㄨ4" - ], - "𩶫": [ - "ㄖㄨ4", - "ㄒㄩㄝ4" - ], - "𩶭": [ - "ㄨ2" - ], - "𩶯": [ - "ㄖㄨ2" - ], - "𩶱": [ - "ㄓㄚ4" - ], - "𩷁": [ - "ㄋㄨㄛ3" - ], - "𩷂": [ - "ㄒㄧㄝ2" - ], - "𩷄": [ - "ㄐㄧㄤ4" - ], - "𩷋": [ - "ㄌㄧ3" - ], - "𩷌": [ - "ㄕㄨ1" - ], - "𩷍": [ - "ㄧ4" - ], - "𩷎": [ - "ㄉㄧ2" - ], - "𩷏": [ - "ㄑㄧㄥ2" - ], - "𩷐": [ - "ㄐㄩ2" - ], - "𩷓": [ - "ㄓ4" - ], - "𩷕": [ - "ㄌㄤ2" - ], - "𩷖": [ - "ㄅㄨ4" - ], - "𩷗": [ - "ㄎㄨㄤ2" - ], - "𩷘": [ - "ㄧ4" - ], - "𩷚": [ - "ㄅㄛ2" - ], - "𩷧": [ - "ㄔ4" - ], - "𩷭": [ - "ㄐㄧㄤ4" - ], - "𩷯": [ - "ㄨㄛ4" - ], - "𩷰": [ - "ㄒㄩㄣ4" - ], - "𩷵": [ - "ㄊㄨㄣ1" - ], - "𩷶": [ - "ㄇㄤ2" - ], - "𩷸": [ - "ㄈㄤ2" - ], - "𩷹": [ - "ㄓㄨㄛ2" - ], - "𩷻": [ - "ㄑㄧㄚ4" - ], - "𩷽": [ - "ㄊㄚ3" - ], - "𩷾": [ - "ㄑㄧ2" - ], - "𩸀": [ - "ㄆㄥ4" - ], - "𩸁": [ - "ㄅㄧㄝ1" - ], - "𩸂": [ - "ㄈㄣ4", - "ㄆㄣ4" - ], - "𩸃": [ - "ㄊㄨ4" - ], - "𩸄": [ - "ㄏㄨㄚ4" - ], - "𩸇": [ - "ㄜ4" - ], - "𩸋": [ - "ㄜ4", - "ㄧㄚ1" - ], - "𩸎": [ - "ㄉㄧㄥ4" - ], - "𩸐": [ - "ㄖㄨ2" - ], - "𩸖": [ - "ㄜ4" - ], - "𩸞": [ - "ㄧㄢ4", - "ㄑㄧ2" - ], - "𩸟": [ - "ㄙ4" - ], - "𩸥": [ - "ㄧㄥ2" - ], - "𩸦": [ - "ㄋㄧ2" - ], - "𩸧": [ - "ㄋㄧ2" - ], - "𩸨": [ - "ㄧ2" - ], - "𩸹": [ - "ㄇㄧ2" - ], - "𩸾": [ - "ㄧㄝ2" - ], - "𩸿": [ - "ㄆㄛ1" - ], - "𩹀": [ - "ㄘㄡ4" - ], - "𩹂": [ - "ㄨㄟ4" - ], - "𩹄": [ - "ㄏㄞ4" - ], - "𩹅": [ - "ㄧㄥ1" - ], - "𩹇": [ - "ㄊㄧㄥ2" - ], - "𩹈": [ - "ㄓ4" - ], - "𩹉": [ - "ㄈㄟ1" - ], - "𩹊": [ - "ㄧㄡ2" - ], - "𩹍": [ - "ㄎㄨㄟ2" - ], - "𩹎": [ - "ㄢ4" - ], - "𩹏": [ - "ㄅㄚ4" - ], - "𩹑": [ - "ㄏㄢ4" - ], - "𩹞": [ - "ㄋㄢ2" - ], - "𩹟": [ - "ㄋㄞ4" - ], - "𩹢": [ - "ㄐㄧㄥ1" - ], - "𩹥": [ - "ㄨㄟ1" - ], - "𩹱": [ - "ㄔㄨ4" - ], - "𩹳": [ - "ㄙㄨㄛ3" - ], - "𩹴": [ - "ㄊㄠ1" - ], - "𩹵": [ - "ㄑㄧ2" - ], - "𩹶": [ - "ㄊㄤ2" - ], - "𩹷": [ - "ㄨㄟ3" - ], - "𩹸": [ - "ㄍㄢ3" - ], - "𩹺": [ - "ㄍㄜ2" - ], - "𩹼": [ - "ㄏㄢ4" - ], - "𩹾": [ - "ㄋㄚ4" - ], - "𩹿": [ - "ㄍㄜ2" - ], - "𩺄": [ - "ㄓㄥ1" - ], - "𩺗": [ - "ㄊㄚ3", - "ㄉㄚ2" - ], - "𩺛": [ - "ㄙ1" - ], - "𩺝": [ - "ㄋㄧ4" - ], - "𩺞": [ - "ㄙㄤ3" - ], - "𩺫": [ - "ㄒㄧㄝ2" - ], - "𩺯": [ - "ㄗㄨ2" - ], - "𩺰": [ - "ㄩ2", - "ㄨ2" - ], - "𩺱": [ - "ㄋㄧ4" - ], - "𩺲": [ - "ㄑㄧ1" - ], - "𩺵": [ - "ㄕㄣ1" - ], - "𩺼": [ - "ㄅㄨ1" - ], - "𩻋": [ - "ㄎㄨㄣ1" - ], - "𩻌": [ - "ㄌㄧ2" - ], - "𩻎": [ - "ㄍㄨㄚ1" - ], - "𩻖": [ - "ㄧㄢ3" - ], - "𩻗": [ - "ㄅㄨ4" - ], - "𩻘": [ - "ㄐㄧㄢ4" - ], - "𩻚": [ - "ㄨ2" - ], - "𩻛": [ - "ㄘㄣ2", - "ㄐㄧㄣ1" - ], - "𩻜": [ - "ㄌㄧㄣ2" - ], - "𩻝": [ - "ㄓㄨㄢ4" - ], - "𩻟": [ - "ㄏㄨㄟ1" - ], - "𩻡": [ - "ㄊㄨㄥ2" - ], - "𩻢": [ - "ㄓㄚ3" - ], - "𩻤": [ - "ㄏㄟ1" - ], - "𩻧": [ - "ㄍㄨㄛ3" - ], - "𩻱": [ - "ㄐㄧㄥ3" - ], - "𩻵": [ - "ㄉㄧㄝ2" - ], - "𩻷": [ - "ㄧㄥ2" - ], - "𩻼": [ - "ㄓ4" - ], - "𩼂": [ - "ㄨㄟ3" - ], - "𩼄": [ - "ㄐㄧ4" - ], - "𩼅": [ - "ㄖㄨㄥ3" - ], - "𩼈": [ - "ㄠ4", - "ㄧㄡ3" - ], - "𩼉": [ - "ㄉㄤ1", - "ㄏㄢ1" - ], - "𩼊": [ - "ㄌㄨㄛ2" - ], - "𩼋": [ - "ㄧㄝ4" - ], - "𩼌": [ - "ㄨㄟ1" - ], - "𩼒": [ - "ㄑㄧㄤ2" - ], - "𩼙": [ - "ㄍㄜ2" - ], - "𩼚": [ - "ㄐㄧ4" - ], - "𩼦": [ - "ㄗㄡ4" - ], - "𩼨": [ - "ㄧ2" - ], - "𩼫": [ - "ㄓㄚ3" - ], - "𩼭": [ - "ㄌㄧㄝ4" - ], - "𩼴": [ - "ㄧㄝ4" - ], - "𩼼": [ - "ㄓㄢ1" - ], - "𩽀": [ - "ㄔㄡ2" - ], - "𩽁": [ - "ㄅㄧㄠ1" - ], - "𩽆": [ - "ㄒㄩ4" - ], - "𩽇": [ - "ㄧㄡ1" - ], - "𩽍": [ - "ㄒㄧㄝ4" - ], - "𩽎": [ - "ㄨㄟ2" - ], - "𩽏": [ - "ㄌㄧ4" - ], - "𩽛": [ - "ㄅㄛ2" - ], - "𩽜": [ - "ㄐㄧㄢ3" - ], - "𩽝": [ - "ㄔㄢ2" - ], - "𩽞": [ - "ㄎㄨㄣ1" - ], - "𩽡": [ - "ㄑㄧㄥ2" - ], - "𩽧": [ - "ㄕㄨㄤ1" - ], - "𩽨": [ - "ㄒㄧ1" - ], - "𩽩": [ - "ㄑㄩ2" - ], - "𩽰": [ - "ㄌㄨㄛ2" - ], - "𩽳": [ - "ㄉㄤ3" - ], - "𩽴": [ - "ㄋㄧㄢ2" - ], - "𩽵": [ - "ㄌㄧ3" - ], - "𩽷": [ - "ㄅㄚ4" - ], - "𩽹": [ - "ㄜ4" - ], - "𩽺": [ - "ㄈㄨ1" - ], - "𩽻": [ - "ㄈㄨ4" - ], - "𩽼": [ - "ㄏㄨㄣ3" - ], - "𩽽": [ - "ㄓㄚ4" - ], - "𩽾": [ - "ㄢ1" - ], - "𩾁": [ - "ㄑㄧㄡ2" - ], - "𩾂": [ - "ㄔㄡ2" - ], - "𩾃": [ - "ㄇㄧㄢ3" - ], - "𩾄": [ - "ㄒㄩㄣ4" - ], - "𩾅": [ - "ㄊㄨ4" - ], - "𩾆": [ - "ㄋㄧ2" - ], - "𩾇": [ - "ㄏㄨ5" - ], - "𩾈": [ - "ㄕㄨ1" - ], - "𩾊": [ - "ㄒㄩ1" - ], - "𩾋": [ - "ㄓㄨㄥ4" - ], - "𩾌": [ - "ㄎㄤ1" - ], - "𩾒": [ - "ㄒㄧㄠ1" - ], - "𩾓": [ - "ㄒㄧㄠ1" - ], - "𩾔": [ - "ㄘ4" - ], - "𩾕": [ - "ㄔ4" - ], - "𩾗": [ - "ㄉㄧㄠ1", - "ㄐㄧㄠ1" - ], - "𩾘": [ - "ㄧ4" - ], - "𩾚": [ - "ㄉㄧㄥ1" - ], - "𩾝": [ - "ㄏㄢ4", - "ㄧㄢ4" - ], - "𩾞": [ - "ㄨㄢ2" - ], - "𩾠": [ - "ㄧ3" - ], - "𩾡": [ - "ㄅㄠ4" - ], - "𩾢": [ - "ㄧ4", - "ㄩㄢ1" - ], - "𩾧": [ - "ㄒㄩㄣ4" - ], - "𩾬": [ - "ㄒㄧㄤ2" - ], - "𩾳": [ - "ㄅㄧ2" - ], - "𩾶": [ - "ㄐㄧㄝ2" - ], - "𩾷": [ - "ㄍㄜ1" - ], - "𩾸": [ - "ㄗㄜ4", - "ㄧㄢ4" - ], - "𩾺": [ - "ㄓㄣ4" - ], - "𩾻": [ - "ㄏㄨ2" - ], - "𩾼": [ - "ㄒㄧ1" - ], - "𩾽": [ - "ㄒㄧㄣ1" - ], - "𩾾": [ - "ㄒㄧㄠ1", - "ㄐㄧㄠ1" - ], - "𩾿": [ - "ㄈㄨ4" - ], - "𩿀": [ - "ㄓㄨㄥ4" - ], - "𩿂": [ - "ㄇㄠ4" - ], - "𩿃": [ - "ㄒㄧㄣ1" - ], - "𩿄": [ - "ㄑㄧㄤ1" - ], - "𩿈": [ - "ㄈㄣ2", - "ㄈㄣ1" - ], - "𩿉": [ - "ㄅㄢ1" - ], - "𩿊": [ - "ㄏㄨㄢ1" - ], - "𩿑": [ - "ㄐㄧㄠ1" - ], - "𩿓": [ - "ㄅㄠ4" - ], - "𩿔": [ - "ㄧㄚ1" - ], - "𩿕": [ - "ㄧㄠ2" - ], - "𩿛": [ - "ㄒㄧ4" - ], - "𩿝": [ - "ㄐㄩ4" - ], - "𩿟": [ - "ㄑㄩ4" - ], - "𩿠": [ - "ㄩㄝ4" - ], - "𩿡": [ - "ㄊㄞ2" - ], - "𩿢": [ - "ㄊㄡ3" - ], - "𩿣": [ - "ㄇㄛ4" - ], - "𩿤": [ - "ㄓㄚ2" - ], - "𩿥": [ - "ㄑㄩ2" - ], - "𩿧": [ - "ㄈㄨ1" - ], - "𩿩": [ - "ㄑㄩ2", - "ㄉㄨㄛ2" - ], - "𩿪": [ - "ㄔ4" - ], - "𩿬": [ - "ㄧㄡ2" - ], - "𩿷": [ - "ㄊㄧ2" - ], - "𩿺": [ - "ㄨㄚ1" - ], - "𩿽": [ - "ㄊㄨㄛ2" - ], - "𩿿": [ - "ㄔㄨ2" - ], - "𪀁": [ - "ㄍㄜ1" - ], - "𪀈": [ - "ㄩㄢ1" - ], - "𪀉": [ - "ㄍㄜ1", - "ㄎㄜ3" - ], - "𪀊": [ - "ㄑㄩ2" - ], - "𪀏": [ - "ㄐㄩ4", - "ㄐㄧㄡ1" - ], - "𪀒": [ - "ㄉㄧㄝ2" - ], - "𪀓": [ - "ㄧ2" - ], - "𪀔": [ - "ㄕ1" - ], - "𪀕": [ - "ㄧ4" - ], - "𪀗": [ - "ㄍㄨㄟ3" - ], - "𪀘": [ - "ㄐㄧㄤ4" - ], - "𪀚": [ - "ㄙㄨㄥ1" - ], - "𪀛": [ - "ㄑㄩㄥ2" - ], - "𪀝": [ - "ㄜ4", - "ㄩㄢ1" - ], - "𪀞": [ - "ㄏㄨㄤ1" - ], - "𪀟": [ - "ㄏㄨㄟ2" - ], - "𪀠": [ - "ㄒㄩㄣ2" - ], - "𪀣": [ - "ㄐㄩ2" - ], - "𪀥": [ - "ㄓㄞ2" - ], - "𪀦": [ - "ㄔ4" - ], - "𪀧": [ - "ㄌㄠ3" - ], - "𪀩": [ - "ㄑㄧ2", - "ㄉㄢ4", - "ㄔㄨ2" - ], - "𪀪": [ - "ㄒㄧㄡ1" - ], - "𪀬": [ - "ㄏㄨㄟ1" - ], - "𪀭": [ - "ㄊㄨㄥ2" - ], - "𪀺": [ - "ㄈㄨ4" - ], - "𪀽": [ - "ㄒㄩㄣ2", - "ㄒㄧㄣ1" - ], - "𪀾": [ - "ㄐㄧㄝ2" - ], - "𪀿": [ - "ㄇㄧ3" - ], - "𪁀": [ - "ㄩ4" - ], - "𪁈": [ - "ㄓㄨㄤ1", - "ㄓㄨㄤ4" - ], - "𪁉": [ - "ㄐㄧㄠ1" - ], - "𪁊": [ - "ㄓ4", - "ㄓㄜ2" - ], - "𪁋": [ - "ㄔㄥ2" - ], - "𪁍": [ - "ㄐㄧㄝ2" - ], - "𪁎": [ - "ㄒㄧㄠ1" - ], - "𪁏": [ - "ㄔㄣ2" - ], - "𪁐": [ - "ㄌㄧ2" - ], - "𪁑": [ - "ㄩㄝ4" - ], - "𪁓": [ - "ㄓ4" - ], - "𪁔": [ - "ㄌㄠ2" - ], - "𪁕": [ - "ㄨㄛ4" - ], - "𪁖": [ - "ㄑㄩ2" - ], - "𪁘": [ - "ㄨㄤ1" - ], - "𪁚": [ - "ㄧ1" - ], - "𪁛": [ - "ㄧ4" - ], - "𪁜": [ - "ㄌㄤ2" - ], - "𪁞": [ - "ㄊㄡ2" - ], - "𪁟": [ - "ㄢ1", - "ㄏㄢ4" - ], - "𪁠": [ - "ㄐㄩㄝ2" - ], - "𪁡": [ - "ㄧㄢ4" - ], - "𪁥": [ - "ㄐㄩ4" - ], - "𪁧": [ - "ㄓㄣ4", - "ㄔㄣ2" - ], - "𪁩": [ - "ㄓ4", - "ㄊㄧ2" - ], - "𪁪": [ - "ㄇㄤ3" - ], - "𪁮": [ - "ㄒㄧㄡ4" - ], - "𪁱": [ - "ㄔㄨㄤ2" - ], - "𪁲": [ - "ㄔㄨ1" - ], - "𪁸": [ - "ㄑㄧㄤ1" - ], - "𪁹": [ - "ㄈㄟ1" - ], - "𪁺": [ - "ㄔㄤ2", - "ㄔㄤ3" - ], - "𪁼": [ - "ㄇㄧㄢ2" - ], - "𪁽": [ - "ㄙㄨ4" - ], - "𪁾": [ - "ㄠ3", - "ㄨㄛ4" - ], - "𪂀": [ - "ㄈㄨ3" - ], - "𪂄": [ - "ㄨㄟ4" - ], - "𪂅": [ - "ㄓ1" - ], - "𪂆": [ - "ㄇㄧㄣ2" - ], - "𪂇": [ - "ㄔㄤ1" - ], - "𪂈": [ - "ㄧㄢ2" - ], - "𪂉": [ - "ㄩ4" - ], - "𪂋": [ - "ㄈㄨ4" - ], - "𪂌": [ - "ㄊㄚ4" - ], - "𪂍": [ - "ㄐㄧ3" - ], - "𪂏": [ - "ㄈㄟ4" - ], - "𪂒": [ - "ㄏㄨ2" - ], - "𪂓": [ - "ㄐㄩ1" - ], - "𪂕": [ - "ㄩ3" - ], - "𪂛": [ - "ㄑㄧ2" - ], - "𪂜": [ - "ㄇㄟ2" - ], - "𪂟": [ - "ㄅㄧㄝ1" - ], - "𪂠": [ - "ㄍㄨㄛ3" - ], - "𪂤": [ - "ㄇㄧㄥ4" - ], - "𪂦": [ - "ㄨㄢ3", - "ㄩㄢ1" - ], - "𪂧": [ - "ㄨㄢ3" - ], - "𪂴": [ - "ㄐㄧㄥ1" - ], - "𪂵": [ - "ㄩ4" - ], - "𪂶": [ - "ㄒㄧㄢ2" - ], - "𪂹": [ - "ㄔㄨㄣ1" - ], - "𪂺": [ - "ㄐㄧ2" - ], - "𪂼": [ - "ㄒㄧㄤ1" - ], - "𪂽": [ - "ㄆㄣ2" - ], - "𪂾": [ - "ㄈㄨ4" - ], - "𪃂": [ - "ㄌㄧㄡ2" - ], - "𪃄": [ - "ㄙㄞ1" - ], - "𪃅": [ - "ㄒㄩㄝ1" - ], - "𪃆": [ - "ㄗㄡ4" - ], - "𪃈": [ - "ㄐㄧㄝ2" - ], - "𪃋": [ - "ㄓㄢ1", - "ㄐㄧㄢ1" - ], - "𪃍": [ - "ㄩ2" - ], - "𪃎": [ - "ㄩ2" - ], - "𪃏": [ - "ㄇㄟ2" - ], - "𪃐": [ - "ㄇㄧㄠ3" - ], - "𪃑": [ - "ㄇㄠ4" - ], - "𪃒": [ - "ㄉㄨㄛ2" - ], - "𪃓": [ - "ㄈㄨ4" - ], - "𪃛": [ - "ㄐㄧㄢ4" - ], - "𪃦": [ - "ㄇㄧㄠ2" - ], - "𪃨": [ - "ㄠ1" - ], - "𪃭": [ - "ㄎㄜ4" - ], - "𪃶": [ - "ㄏㄡ2" - ], - "𪃺": [ - "ㄍㄡ4" - ], - "𪃼": [ - "ㄒㄧ1" - ], - "𪃾": [ - "ㄖㄨㄥ2" - ], - "𪃿": [ - "ㄍㄜ1" - ], - "𪄀": [ - "ㄆㄢ2" - ], - "𪄁": [ - "ㄩㄢ2" - ], - "𪄂": [ - "ㄒㄧㄚ4" - ], - "𪄅": [ - "ㄕㄚ1" - ], - "𪄆": [ - "ㄆㄧ1", - "ㄆㄧ2" - ], - "𪄈": [ - "ㄑㄧㄥ2" - ], - "𪄉": [ - "ㄩㄥ1" - ], - "𪄊": [ - "ㄑㄩ2" - ], - "𪄌": [ - "ㄍㄨㄥ4" - ], - "𪄎": [ - "ㄍㄜ2" - ], - "𪄏": [ - "ㄒㄧㄢ1" - ], - "𪄑": [ - "ㄙㄨ4" - ], - "𪄕": [ - "ㄅㄢ1" - ], - "𪄖": [ - "ㄑㄧ2" - ], - "𪄗": [ - "ㄏㄡ4" - ], - "𪄛": [ - "ㄒㄧ1" - ], - "𪄝": [ - "ㄨ1" - ], - "𪄭": [ - "ㄑㄧ1" - ], - "𪄮": [ - "ㄏㄨ4", - "ㄍㄨ4" - ], - "𪄯": [ - "ㄍㄨㄟ1" - ], - "𪄱": [ - "ㄉㄧ2" - ], - "𪄲": [ - "ㄕㄤ1" - ], - "𪄳": [ - "ㄇㄞ4" - ], - "𪄴": [ - "ㄇㄧㄣ3" - ], - "𪄵": [ - "ㄐㄧ4" - ], - "𪄶": [ - "ㄒㄧ2" - ], - "𪄷": [ - "ㄒㄧㄢ1" - ], - "𪄸": [ - "ㄐㄧ2" - ], - "𪄹": [ - "ㄔㄤ2" - ], - "𪄺": [ - "ㄎㄡ4" - ], - "𪄻": [ - "ㄔㄨㄥ1", - "ㄓㄨㄤ1" - ], - "𪅂": [ - "ㄓㄤ1" - ], - "𪅃": [ - "ㄆㄧㄠ3", - "ㄆㄧㄠ1" - ], - "𪅄": [ - "ㄙㄨ4" - ], - "𪅅": [ - "ㄌㄩㄝ4" - ], - "𪅆": [ - "ㄌㄧ2" - ], - "𪅇": [ - "ㄇㄥ4" - ], - "𪅈": [ - "ㄔㄨㄥ1" - ], - "𪅉": [ - "ㄊㄧㄢ1" - ], - "𪅋": [ - "ㄌㄧㄥ2" - ], - "𪅍": [ - "ㄔ4" - ], - "𪅖": [ - "ㄔㄨㄥ1", - "ㄓㄨㄤ1" - ], - "𪅙": [ - "ㄔ4" - ], - "𪅝": [ - "ㄋㄧㄠ3" - ], - "𪅟": [ - "ㄩㄥ2" - ], - "𪅮": [ - "ㄇㄧ4" - ], - "𪅰": [ - "ㄕㄨ1" - ], - "𪅲": [ - "ㄒㄧ4" - ], - "𪅴": [ - "ㄜ4" - ], - "𪅵": [ - "ㄗ1" - ], - "𪅸": [ - "ㄐㄧㄝ2" - ], - "𪅹": [ - "ㄐㄧ1" - ], - "𪅺": [ - "ㄏㄡ1" - ], - "𪅻": [ - "ㄕㄥ4" - ], - "𪅼": [ - "ㄌㄧ4" - ], - "𪅾": [ - "ㄑㄧ1" - ], - "𪆀": [ - "ㄓㄡ1" - ], - "𪆁": [ - "ㄙ1" - ], - "𪆂": [ - "ㄑㄩ2" - ], - "𪆋": [ - "ㄒㄧㄝ2" - ], - "𪆗": [ - "ㄙ1" - ], - "𪆛": [ - "ㄒㄩ1" - ], - "𪆠": [ - "ㄈㄨ4" - ], - "𪆯": [ - "ㄋㄨㄥ2" - ], - "𪆰": [ - "ㄧㄚ4" - ], - "𪆱": [ - "ㄌㄧㄡ2" - ], - "𪆲": [ - "ㄐㄧㄚ3", - "ㄓㄢ1" - ], - "𪆳": [ - "ㄍㄨㄟ1" - ], - "𪆴": [ - "ㄎㄨㄟ2" - ], - "𪆵": [ - "ㄔ4" - ], - "𪆶": [ - "ㄘㄢ4" - ], - "𪆷": [ - "ㄔㄨ2" - ], - "𪆹": [ - "ㄍㄨㄛ1" - ], - "𪆻": [ - "ㄉㄢ3" - ], - "𪆿": [ - "ㄐㄧㄢ4" - ], - "𪇁": [ - "ㄉㄤ1" - ], - "𪇂": [ - "ㄏㄡ4" - ], - "𪇄": [ - "ㄎㄡ4", - "ㄎㄨ1" - ], - "𪇆": [ - "ㄔㄨ4", - "ㄉㄨ2" - ], - "𪇇": [ - "ㄑㄧㄢ1" - ], - "𪇈": [ - "ㄞ4" - ], - "𪇊": [ - "ㄆㄧ4" - ], - "𪇑": [ - "ㄒㄩㄣ4" - ], - "𪇒": [ - "ㄐㄧㄥ1" - ], - "𪇓": [ - "ㄇㄥ4" - ], - "𪇕": [ - "ㄅㄧㄣ1" - ], - "𪇖": [ - "ㄌㄢ2" - ], - "𪇗": [ - "ㄍㄨ3" - ], - "𪇘": [ - "ㄔㄡ2", - "ㄊㄠ2" - ], - "𪇛": [ - "ㄩㄥ1" - ], - "𪇜": [ - "ㄍㄨㄚ2" - ], - "𪇝": [ - "ㄩ2" - ], - "𪇞": [ - "ㄓㄡ4" - ], - "𪇭": [ - "ㄘㄞ4" - ], - "𪇯": [ - "ㄌㄧㄡ2" - ], - "𪇰": [ - "ㄅㄨ3" - ], - "𪇱": [ - "ㄌㄨㄛ4" - ], - "𪇲": [ - "ㄐㄧㄝ2" - ], - "𪇳": [ - "ㄓㄣ1" - ], - "𪇴": [ - "ㄇㄧㄝ4" - ], - "𪇵": [ - "ㄍㄨㄤ3" - ], - "𪇷": [ - "ㄐㄧㄚ2" - ], - "𪇹": [ - "ㄌㄚ4" - ], - "𪈀": [ - "ㄕㄡ4" - ], - "𪈃": [ - "ㄍㄨㄛ1" - ], - "𪈆": [ - "ㄇㄥ4" - ], - "𪈇": [ - "ㄑㄧㄢ2" - ], - "𪈈": [ - "ㄌㄞ4" - ], - "𪈊": [ - "ㄏㄜ2" - ], - "𪈋": [ - "ㄊㄨㄢ2" - ], - "𪈑": [ - "ㄏㄨㄟ1" - ], - "𪈘": [ - "ㄏㄨㄥ1" - ], - "𪈜": [ - "ㄌㄩ3" - ], - "𪈟": [ - "ㄐㄧㄚ2" - ], - "𪈥": [ - "ㄍㄨㄟ1" - ], - "𪈨": [ - "ㄧ1" - ], - "𪈩": [ - "ㄏㄨㄢ1" - ], - "𪈰": [ - "ㄌㄨㄛ2" - ], - "𪈴": [ - "ㄐㄩㄝ2" - ], - "𪈸": [ - "ㄍㄨㄢ4" - ], - "𪈻": [ - "ㄑㄩㄢ2" - ], - "𪈼": [ - "ㄋㄧㄠ3" - ], - "𪈿": [ - "ㄇㄢ2" - ], - "𪉂": [ - "ㄩㄣ4" - ], - "𪉃": [ - "ㄨㄣ2" - ], - "𪉄": [ - "ㄔ4" - ], - "𪉅": [ - "ㄔ4" - ], - "𪉆": [ - "ㄓ1" - ], - "𪉈": [ - "ㄘ2" - ], - "𪉉": [ - "ㄓㄨㄤ4" - ], - "𪉊": [ - "ㄏㄨㄚ2" - ], - "𪉋": [ - "ㄐㄧㄝ2" - ], - "𪉌": [ - "ㄑㄩ2" - ], - "𪉍": [ - "ㄊㄨ1" - ], - "𪉎": [ - "ㄇㄧㄣ2" - ], - "𪉏": [ - "ㄇㄟ2" - ], - "𪉐": [ - "ㄩ2" - ], - "𪉑": [ - "ㄠ2" - ], - "𪉒": [ - "ㄅㄢ1" - ], - "𪉔": [ - "ㄆㄧ1" - ], - "𪉕": [ - "ㄓㄣ1" - ], - "𪉖": [ - "ㄌㄨ3" - ], - "𪉗": [ - "ㄔ4" - ], - "𪉘": [ - "ㄊㄡ2" - ], - "𪉚": [ - "ㄐㄧㄝ1" - ], - "𪉜": [ - "ㄓㄢ1" - ], - "𪉢": [ - "ㄐㄧㄣ1" - ], - "𪉣": [ - "ㄌㄨ3" - ], - "𪉦": [ - "ㄐㄧㄢ4", - "ㄐㄧㄢ3", - "ㄍㄢ4" - ], - "𪉧": [ - "ㄊㄢ4" - ], - "𪉨": [ - "ㄔㄤ1" - ], - "𪉪": [ - "ㄘ4" - ], - "𪉭": [ - "ㄨㄞ1" - ], - "𪉮": [ - "ㄘㄡ4" - ], - "𪉯": [ - "ㄎㄢ4" - ], - "𪉱": [ - "ㄅㄧㄢ4" - ], - "𪉸": [ - "ㄨㄣ1" - ], - "𪉻": [ - "ㄑㄧㄢ1" - ], - "𪉿": [ - "ㄍㄢ4" - ], - "𪊂": [ - "ㄏㄨㄟ4" - ], - "𪊄": [ - "ㄍㄢ3", - "ㄍㄢ4" - ], - "𪊆": [ - "ㄐㄧ4" - ], - "𪊇": [ - "ㄍㄢ4", - "ㄊㄢ4" - ], - "𪊉": [ - "ㄏㄨㄞ2" - ], - "𪊍": [ - "ㄙ4" - ], - "𪊐": [ - "ㄈㄨ1" - ], - "𪊕": [ - "ㄆㄧ2" - ], - "𪊗": [ - "ㄘㄚ1" - ], - "𪊜": [ - "ㄅㄣ4" - ], - "𪊢": [ - "ㄕ2", - "ㄕ3" - ], - "𪊥": [ - "ㄏㄨㄢ2" - ], - "𪊧": [ - "ㄍㄨㄟ1" - ], - "𪊪": [ - "ㄡ3" - ], - "𪊳": [ - "ㄆㄠ2" - ], - "𪊵": [ - "ㄧㄥ3" - ], - "𪊶": [ - "ㄊㄧㄥ3" - ], - "𪊷": [ - "ㄒㄧㄠ4" - ], - "𪊹": [ - "ㄓㄨ4" - ], - "𪊻": [ - "ㄩ2" - ], - "𪋁": [ - "ㄐㄧㄢ4" - ], - "𪋄": [ - "ㄑㄩ3" - ], - "𪋅": [ - "ㄨㄢ3" - ], - "𪋆": [ - "ㄎㄨㄣ1" - ], - "𪋇": [ - "ㄓㄨㄟ1" - ], - "𪋉": [ - "ㄩ4" - ], - "𪋊": [ - "ㄍㄨㄛ3" - ], - "𪋋": [ - "ㄆㄧㄥ2" - ], - "𪋌": [ - "ㄗㄨㄟ3" - ], - "𪋍": [ - "ㄗㄨ2" - ], - "𪋏": [ - "ㄓㄨ1" - ], - "𪋐": [ - "ㄋㄨㄢ4" - ], - "𪋑": [ - "ㄓㄨ1" - ], - "𪋖": [ - "ㄆㄧㄠ1" - ], - "𪋗": [ - "ㄇㄧ2" - ], - "𪋜": [ - "ㄅㄧ4" - ], - "𪋝": [ - "ㄙㄨ4" - ], - "𪋡": [ - "ㄆㄨ2" - ], - "𪋢": [ - "ㄇㄧ2" - ], - "𪋫": [ - "ㄧㄝ4" - ], - "𪋬": [ - "ㄩ3" - ], - "𪋮": [ - "ㄩ4" - ], - "𪋰": [ - "ㄓㄨ3" - ], - "𪋳": [ - "ㄌㄧㄥ2" - ], - "𪋺": [ - "ㄋㄡ4" - ], - "𪋾": [ - "ㄌㄧㄥ2" - ], - "𪌀": [ - "ㄌㄧㄠ3" - ], - "𪌂": [ - "ㄊㄨㄛ1" - ], - "𪌄": [ - "ㄅㄧ3" - ], - "𪌅": [ - "ㄋㄚ4" - ], - "𪌆": [ - "ㄑㄩ2" - ], - "𪌈": [ - "ㄆㄧ2" - ], - "𪌉": [ - "ㄉㄡ3" - ], - "𪌊": [ - "ㄋㄧㄝ4" - ], - "𪌋": [ - "ㄊㄨㄣ2" - ], - "𪌍": [ - "ㄐㄧ1" - ], - "𪌏": [ - "ㄌㄧㄥ2" - ], - "𪌓": [ - "ㄎㄨ4" - ], - "𪌔": [ - "ㄙㄨ4" - ], - "𪌘": [ - "ㄊㄡ3" - ], - "𪌞": [ - "ㄋㄞ2" - ], - "𪌟": [ - "ㄗㄜ2" - ], - "𪌢": [ - "ㄊㄨㄥ3" - ], - "𪌣": [ - "ㄍㄜ2" - ], - "𪌤": [ - "ㄉㄨㄟ1" - ], - "𪌧": [ - "ㄐㄧㄝ2" - ], - "𪌩": [ - "ㄊㄧㄢ2" - ], - "𪌪": [ - "ㄊㄧㄠ4" - ], - "𪌫": [ - "ㄔ2" - ], - "𪌬": [ - "ㄑㄩ1", - "ㄔㄠ3" - ], - "𪌮": [ - "ㄕㄚ1", - "ㄙㄨㄛ1" - ], - "𪌰": [ - "ㄅㄛ2" - ], - "𪌱": [ - "ㄌㄧ2" - ], - "𪌳": [ - "ㄌㄨㄛ4" - ], - "𪌵": [ - "ㄌㄧㄠ2" - ], - "𪌶": [ - "ㄕㄨ4" - ], - "𪌷": [ - "ㄉㄥ3" - ], - "𪌹": [ - "ㄔ1" - ], - "𪌺": [ - "ㄇㄧㄝ4" - ], - "𪌼": [ - "ㄊㄠ2" - ], - "𪌽": [ - "ㄏㄨㄣ2" - ], - "𪌿": [ - "ㄋㄧㄝ2" - ], - "𪍁": [ - "ㄐㄩㄣ4" - ], - "𪍂": [ - "ㄏㄨ4" - ], - "𪍄": [ - "ㄌㄨ4" - ], - "𪍅": [ - "ㄧㄝ4" - ], - "𪍇": [ - "ㄇㄛ4", - "ㄔㄠ3", - "ㄇㄞ4" - ], - "𪍈": [ - "ㄔㄠ4" - ], - "𪍌": [ - "ㄙㄨㄛ4" - ], - "𪍎": [ - "ㄎㄜ1" - ], - "𪍏": [ - "ㄈㄨ4" - ], - "𪍑": [ - "ㄔㄠ3" - ], - "𪍔": [ - "ㄙㄨㄛ3" - ], - "𪍗": [ - "ㄑㄧㄡ1" - ], - "𪍛": [ - "ㄙㄨ4", - "ㄒㄧㄝ4" - ], - "𪍝": [ - "ㄩㄣ4" - ], - "𪍟": [ - "ㄙㄨㄛ3" - ], - "𪍠": [ - "ㄎㄨ1" - ], - "𪍡": [ - "ㄅㄛ2" - ], - "𪍣": [ - "ㄌㄡ3" - ], - "𪍤": [ - "ㄇㄛ4" - ], - "𪍦": [ - "ㄌㄧㄢ3" - ], - "𪍧": [ - "ㄒㄩㄢ4" - ], - "𪍨": [ - "ㄙㄨㄛ3" - ], - "𪍩": [ - "ㄇㄢ2" - ], - "𪍪": [ - "ㄅㄧ4" - ], - "𪍲": [ - "ㄊㄧ4" - ], - "𪍴": [ - "ㄌㄧㄢ2" - ], - "𪍵": [ - "ㄊㄢ2" - ], - "𪍶": [ - "ㄕㄢ4" - ], - "𪍸": [ - "ㄑㄩ2" - ], - "𪍹": [ - "ㄉㄨ2" - ], - "𪍺": [ - "ㄏㄨㄢ2", - "ㄏㄨㄢ4" - ], - "𪍻": [ - "ㄙㄠ4" - ], - "𪍿": [ - "ㄎㄨㄤ4" - ], - "𪎃": [ - "ㄋㄧㄝ4" - ], - "𪎅": [ - "ㄋㄧㄝ4" - ], - "𪎆": [ - "ㄌㄨㄛ2" - ], - "𪎇": [ - "ㄗㄨㄛ2" - ], - "𪎈": [ - "ㄧ4" - ], - "𪎉": [ - "ㄒㄧㄢ4" - ], - "𪎊": [ - "ㄔㄠ3" - ], - "𪎋": [ - "ㄊㄧㄝ4" - ], - "𪎒": [ - "ㄕㄨㄛ4" - ], - "𪎔": [ - "ㄇㄧ3" - ], - "𪎗": [ - "ㄇㄧ2" - ], - "𪎛": [ - "ㄨㄢ3" - ], - "𪎝": [ - "ㄅㄣ4" - ], - "𪎞": [ - "ㄑㄧㄤ1" - ], - "𪎠": [ - "ㄇㄛ3" - ], - "𪎣": [ - "ㄌㄧㄡ2" - ], - "𪎤": [ - "ㄨㄛ4" - ], - "𪎦": [ - "ㄇㄟ3" - ], - "𪎨": [ - "ㄊㄡ2" - ], - "𪎫": [ - "ㄇㄨ3" - ], - "𪎭": [ - "ㄇㄟ2" - ], - "𪎲": [ - "ㄗㄨㄛ4" - ], - "𪎴": [ - "ㄊㄨㄣ2" - ], - "𪎵": [ - "ㄎㄤ4" - ], - "𪎶": [ - "ㄊㄨㄣ2" - ], - "𪎺": [ - "ㄔㄜ4" - ], - "𪎻": [ - "ㄓㄥ4" - ], - "𪎽": [ - "ㄔㄨㄥ1" - ], - "𪎾": [ - "ㄊㄧㄢ1" - ], - "𪏀": [ - "ㄓ4" - ], - "𪏁": [ - "ㄔㄢ2" - ], - "𪏂": [ - "ㄔㄢ2" - ], - "𪏅": [ - "ㄑㄧㄥ1" - ], - "𪏆": [ - "ㄊㄨㄣ1" - ], - "𪏇": [ - "ㄏㄨㄟ3" - ], - "𪏈": [ - "ㄑㄩㄝ4" - ], - "𪏉": [ - "ㄓㄢ1" - ], - "𪏊": [ - "ㄐㄧㄢ1", - "ㄇㄧㄢ3" - ], - "𪏋": [ - "ㄔㄢ2" - ], - "𪏍": [ - "ㄏㄨㄤ2" - ], - "𪏏": [ - "ㄏㄨㄟ1" - ], - "𪏐": [ - "ㄔ2" - ], - "𪏒": [ - "ㄏㄨㄤ2" - ], - "𪏓": [ - "ㄏㄥ2" - ], - "𪏔": [ - "ㄩㄣ3" - ], - "𪏖": [ - "ㄊㄨㄢ1" - ], - "𪏗": [ - "ㄅㄧㄢ1" - ], - "𪏙": [ - "ㄏㄨㄤ2" - ], - "𪏚": [ - "ㄩㄣ3" - ], - "𪏟": [ - "ㄇㄛ4" - ], - "𪏠": [ - "ㄍㄨㄥ1" - ], - "𪏢": [ - "ㄍㄨㄥ1" - ], - "𪏤": [ - "ㄍㄨㄟ4" - ], - "𪏦": [ - "ㄔㄢ2" - ], - "𪏨": [ - "ㄑㄩㄝ4" - ], - "𪏩": [ - "ㄖㄨㄟ4" - ], - "𪏪": [ - "ㄎㄨㄤ4" - ], - "𪏫": [ - "ㄆㄧㄠ4" - ], - "𪏮": [ - "ㄖㄨ3" - ], - "𪏲": [ - "ㄋㄧㄡ3" - ], - "𪏳": [ - "ㄏㄨ4" - ], - "𪏴": [ - "ㄐㄧㄣ3" - ], - "𪏵": [ - "ㄋㄧ4", - "ㄌㄧ2" - ], - "𪏶": [ - "ㄅㄠ4" - ], - "𪏸": [ - "ㄋㄧ3", - "ㄔ1" - ], - "𪏺": [ - "ㄅㄧ4" - ], - "𪏻": [ - "ㄏㄨ2" - ], - "𪏼": [ - "ㄌㄧ2" - ], - "𪏿": [ - "ㄓㄨ1" - ], - "𪐀": [ - "ㄋㄚ3" - ], - "𪐂": [ - "ㄑㄩㄢ3" - ], - "𪐃": [ - "ㄈㄥ3" - ], - "𪐄": [ - "ㄅㄧ3" - ], - "𪐅": [ - "ㄌㄧ2" - ], - "𪐆": [ - "ㄅㄧㄝ2" - ], - "𪐇": [ - "ㄋㄧㄢ2" - ], - "𪐈": [ - "ㄉㄨㄥ3" - ], - "𪐋": [ - "ㄌㄧㄢ2" - ], - "𪐌": [ - "ㄋㄧ4" - ], - "𪐍": [ - "ㄌㄧㄢ2" - ], - "𪐎": [ - "ㄇㄚ2" - ], - "𪐏": [ - "ㄓㄜ2", - "ㄓ2" - ], - "𪐓": [ - "ㄐㄧㄚ1" - ], - "𪐔": [ - "ㄧ2" - ], - "𪐖": [ - "ㄌㄨㄥ3" - ], - "𪐘": [ - "ㄧ4", - "ㄧㄢ1" - ], - "𪐝": [ - "ㄉㄞ4", - "ㄊㄞ4" - ], - "𪐞": [ - "ㄉㄨ4" - ], - "𪐣": [ - "ㄧ3" - ], - "𪐥": [ - "ㄊㄞ4" - ], - "𪐦": [ - "ㄏㄤ1" - ], - "𪐧": [ - "ㄕㄨ4" - ], - "𪐬": [ - "ㄨㄢ2" - ], - "𪐮": [ - "ㄙㄨ4" - ], - "𪐯": [ - "ㄧㄠ3" - ], - "𪐰": [ - "ㄦ4" - ], - "𪐲": [ - "ㄓㄣ4" - ], - "𪐺": [ - "ㄉㄡ4" - ], - "𪐻": [ - "ㄐㄧㄢ1" - ], - "𪐿": [ - "ㄆㄤ1" - ], - "𪑀": [ - "ㄏㄨㄟ1" - ], - "𪑂": [ - "ㄔㄚ4" - ], - "𪑃": [ - "ㄕㄢ1" - ], - "𪑄": [ - "ㄌㄨ2" - ], - "𪑆": [ - "ㄩ4" - ], - "𪑈": [ - "ㄧㄢ4" - ], - "𪑉": [ - "ㄨㄢ3" - ], - "𪑊": [ - "ㄑㄧㄠ4" - ], - "𪑋": [ - "ㄌㄨㄛ1" - ], - "𪑌": [ - "ㄩ4" - ], - "𪑏": [ - "ㄊㄨ2" - ], - "𪑐": [ - "ㄨㄟ4" - ], - "𪑒": [ - "ㄊㄨㄣ4" - ], - "𪑕": [ - "ㄏㄨㄣ3" - ], - "𪑖": [ - "ㄅㄣ1" - ], - "𪑗": [ - "ㄑㄧㄝ4" - ], - "𪑙": [ - "ㄐㄧㄣ1", - "ㄑㄧㄢ2" - ], - "𪑚": [ - "ㄌㄞ2", - "ㄌㄧ2" - ], - "𪑜": [ - "ㄓ3" - ], - "𪑝": [ - "ㄩ2" - ], - "𪑟": [ - "ㄘ4" - ], - "𪑦": [ - "ㄧㄝ4" - ], - "𪑧": [ - "ㄉㄧㄝ2" - ], - "𪑨": [ - "ㄔㄚ4" - ], - "𪑩": [ - "ㄉㄧㄢ4" - ], - "𪑪": [ - "ㄇㄢ2" - ], - "𪑬": [ - "ㄉㄥ4" - ], - "𪑭": [ - "ㄨㄟ1" - ], - "𪑮": [ - "ㄋㄧㄢ3" - ], - "𪑯": [ - "ㄌㄟ4" - ], - "𪑰": [ - "ㄅㄧㄥ1" - ], - "𪑱": [ - "ㄨ1", - "ㄨㄛ4" - ], - "𪑳": [ - "ㄓㄣ3" - ], - "𪑶": [ - "ㄖㄡ2" - ], - "𪑷": [ - "ㄨㄞ4" - ], - "𪑸": [ - "ㄇㄧ4", - "ㄧㄢ1" - ], - "𪑹": [ - "ㄐㄧㄝ4" - ], - "𪑻": [ - "ㄏㄡ2" - ], - "𪑽": [ - "ㄓㄞ4" - ], - "𪑾": [ - "ㄖㄨ3" - ], - "𪑿": [ - "ㄗ1" - ], - "𪒀": [ - "ㄆㄢ2" - ], - "𪒂": [ - "ㄇㄛ4" - ], - "𪒄": [ - "ㄇㄧ4" - ], - "𪒆": [ - "ㄑㄧ1" - ], - "𪒇": [ - "ㄇㄛ4" - ], - "𪒊": [ - "ㄓ1" - ], - "𪒋": [ - "ㄅㄢ1", - "ㄆㄢ2" - ], - "𪒍": [ - "ㄇㄧㄝ4" - ], - "𪒏": [ - "ㄌㄨ4" - ], - "𪒑": [ - "ㄑㄧ1" - ], - "𪒒": [ - "ㄔㄨㄥ1" - ], - "𪒔": [ - "ㄌㄧ2" - ], - "𪒕": [ - "ㄧ4" - ], - "𪒘": [ - "ㄉㄥ4" - ], - "𪒙": [ - "ㄘㄨㄛ1" - ], - "𪒛": [ - "ㄉㄨㄟ4" - ], - "𪒜": [ - "ㄇㄚ4" - ], - "𪒝": [ - "ㄧㄢ3" - ], - "𪒟": [ - "ㄗㄥ4" - ], - "𪒠": [ - "ㄧㄢ3", - "ㄢ3", - "ㄢ4" - ], - "𪒡": [ - "ㄉㄨㄟ4", - "ㄉㄞ4" - ], - "𪒢": [ - "ㄆㄨ1" - ], - "𪒥": [ - "ㄩㄝ4" - ], - "𪒩": [ - "ㄏㄨㄛ4" - ], - "𪒪": [ - "ㄇㄞ4" - ], - "𪒫": [ - "ㄐㄧㄢ3" - ], - "𪒬": [ - "ㄋㄨㄥ2" - ], - "𪒭": [ - "ㄑㄧㄣ2" - ], - "𪒯": [ - "ㄑㄧㄣ2" - ], - "𪒲": [ - "ㄧㄝ4" - ], - "𪒴": [ - "ㄊㄞ2" - ], - "𪒹": [ - "ㄐㄧㄢ1" - ], - "𪒼": [ - "ㄔㄚ2" - ], - "𪒾": [ - "ㄉㄢ4" - ], - "𪒿": [ - "ㄊㄥ2" - ], - "𪓀": [ - "ㄌㄧ4" - ], - "𪓃": [ - "ㄋㄧㄤ3" - ], - "𪓄": [ - "ㄔㄢ2" - ], - "𪓅": [ - "ㄗㄤ1" - ], - "𪓊": [ - "ㄩ4" - ], - "𪓌": [ - "ㄗㄨㄟ4" - ], - "𪓍": [ - "ㄅㄧㄢ1" - ], - "𪓐": [ - "ㄔㄨ3" - ], - "𪓘": [ - "ㄖㄢ2" - ], - "𪓚": [ - "ㄖㄢ2" - ], - "𪓛": [ - "ㄧㄤ1" - ], - "𪓜": [ - "ㄅㄛ3" - ], - "𪓡": [ - "ㄘㄨ4" - ], - "𪓬": [ - "ㄇㄧ2" - ], - "𪓮": [ - "ㄎㄜ3" - ], - "𪓰": [ - "ㄘㄨ4" - ], - "𪓷": [ - "ㄒㄧ2" - ], - "𪓹": [ - "ㄇㄚ2" - ], - "𪓻": [ - "ㄕ1" - ], - "𪓼": [ - "ㄉㄧㄢ1" - ], - "𪓿": [ - "ㄕ1" - ], - "𪔂": [ - "ㄉㄧㄥ3" - ], - "𪔃": [ - "ㄐㄩㄥ1" - ], - "𪔅": [ - "ㄩㄢ2" - ], - "𪔆": [ - "ㄍㄢ1" - ], - "𪔊": [ - "ㄏㄨㄟ4" - ], - "𪔋": [ - "ㄐㄧ1" - ], - "𪔍": [ - "ㄆㄥ2" - ], - "𪔏": [ - "ㄉㄥ1" - ], - "𪔑": [ - "ㄅㄥ4" - ], - "𪔔": [ - "ㄆㄤ1", - "ㄆㄥ2" - ], - "𪔕": [ - "ㄊㄚ4", - "ㄌㄨㄥ2" - ], - "𪔗": [ - "ㄩㄢ1" - ], - "𪔘": [ - "ㄍㄠ1" - ], - "𪔙": [ - "ㄩㄢ1" - ], - "𪔟": [ - "ㄐㄧㄚ1" - ], - "𪔣": [ - "ㄎㄨㄥ1" - ], - "𪔦": [ - "ㄉㄨㄥ4" - ], - "𪔩": [ - "ㄒㄧㄢ2" - ], - "𪔪": [ - "ㄑㄧ4" - ], - "𪔬": [ - "ㄙㄤ1" - ], - "𪔰": [ - "ㄧㄣ4" - ], - "𪔳": [ - "ㄌㄨㄥ2" - ], - "𪔶": [ - "ㄊㄥ1" - ], - "𪔷": [ - "ㄌㄨㄥ2" - ], - "𪔺": [ - "ㄖㄣ4" - ], - "𪔽": [ - "ㄧㄣ4" - ], - "𪔾": [ - "ㄆㄧㄥ2" - ], - "𪔿": [ - "ㄆㄨ1" - ], - "𪕀": [ - "ㄩㄢ2" - ], - "𪕁": [ - "ㄖㄨㄥ3", - "ㄔㄣ2" - ], - "𪕃": [ - "ㄈㄤ1" - ], - "𪕇": [ - "ㄏㄤ1" - ], - "𪕈": [ - "ㄇㄧ2" - ], - "𪕉": [ - "ㄏㄨ2" - ], - "𪕊": [ - "ㄗ1" - ], - "𪕌": [ - "ㄌㄧㄥ2" - ], - "𪕍": [ - "ㄐㄩㄥ1" - ], - "𪕎": [ - "ㄖㄨㄥ3" - ], - "𪕒": [ - "ㄆㄧㄥ2" - ], - "𪕓": [ - "ㄍㄨㄤ1" - ], - "𪕔": [ - "ㄦ3" - ], - "𪕝": [ - "ㄘㄨ4" - ], - "𪕞": [ - "ㄐㄩㄣ4" - ], - "𪕦": [ - "ㄒㄧㄡ3" - ], - "𪕨": [ - "ㄦ2" - ], - "𪕩": [ - "ㄊㄧ4" - ], - "𪕫": [ - "ㄧㄤ2" - ], - "𪕭": [ - "ㄞ4" - ], - "𪕮": [ - "ㄏㄨ2" - ], - "𪕯": [ - "ㄒㄧ2", - "ㄒㄧㄝ2" - ], - "𪕱": [ - "ㄏㄨ2" - ], - "𪕳": [ - "ㄙ1" - ], - "𪕴": [ - "ㄌㄧ3" - ], - "𪕶": [ - "ㄧ4" - ], - "𪕷": [ - "ㄍㄨ3" - ], - "𪕹": [ - "ㄊㄤ2" - ], - "𪖀": [ - "ㄑㄩㄝ4" - ], - "𪖁": [ - "ㄗㄨㄥ1" - ], - "𪖂": [ - "ㄌㄧ2" - ], - "𪖄": [ - "ㄐㄧㄠ4" - ], - "𪖇": [ - "ㄈㄢ2" - ], - "𪖈": [ - "ㄆㄨ2" - ], - "𪖉": [ - "ㄙ1" - ], - "𪖋": [ - "ㄐㄧㄝ2" - ], - "𪖌": [ - "ㄌㄨ2" - ], - "𪖍": [ - "ㄌㄧ4" - ], - "𪖎": [ - "ㄔㄢ2" - ], - "𪖐": [ - "ㄧㄠ4", - "ㄧㄚ4" - ], - "𪖕": [ - "ㄏㄨㄟ1" - ], - "𪖙": [ - "ㄏㄡ1" - ], - "𪖚": [ - "ㄉㄧㄢ1" - ], - "𪖛": [ - "ㄑㄧㄡ4" - ], - "𪖜": [ - "ㄐㄩㄝ2" - ], - "𪖞": [ - "ㄆㄧ4" - ], - "𪖢": [ - "ㄎㄨㄟ1" - ], - "𪖥": [ - "ㄒㄧ3" - ], - "𪖦": [ - "ㄊㄧ1" - ], - "𪖩": [ - "ㄒㄩ4" - ], - "𪖯": [ - "ㄅㄧㄢ3" - ], - "𪖲": [ - "ㄏㄜ1" - ], - "𪖳": [ - "ㄌㄧㄢ2" - ], - "𪖶": [ - "ㄙㄨ4" - ], - "𪖷": [ - "ㄌㄧㄠ4" - ], - "𪖼": [ - "ㄐㄧㄣ1" - ], - "𪗁": [ - "ㄌㄧ4" - ], - "𪗂": [ - "ㄔㄢ2" - ], - "𪗅": [ - "ㄑㄧ2" - ], - "𪗆": [ - "ㄑㄧ2" - ], - "𪗉": [ - "ㄗ1" - ], - "𪗋": [ - "ㄗ1" - ], - "𪗍": [ - "ㄑㄧ2" - ], - "𪗏": [ - "ㄑㄧ2" - ], - "𪗐": [ - "ㄗ1" - ], - "𪗒": [ - "ㄓㄞ1" - ], - "𪗓": [ - "ㄓㄞ1" - ], - "𪗔": [ - "ㄆㄚ4" - ], - "𪗖": [ - "ㄐㄩ1" - ], - "𪗙": [ - "ㄧㄢ3" - ], - "𪗜": [ - "ㄏㄤ2" - ], - "𪗝": [ - "ㄋㄚ4" - ], - "𪗤": [ - "ㄧㄢ3" - ], - "𪗦": [ - "ㄓㄢ4" - ], - "𪗧": [ - "ㄕ3" - ], - "𪗨": [ - "ㄓ2" - ], - "𪗭": [ - "ㄓㄚ1" - ], - "𪗴": [ - "ㄖㄨㄥ3" - ], - "𪗵": [ - "ㄓㄚ1" - ], - "𪗷": [ - "ㄧ4" - ], - "𪗸": [ - "ㄇㄧㄥ2" - ], - "𪗹": [ - "ㄧㄚ2" - ], - "𪗻": [ - "ㄓ4" - ], - "𪗽": [ - "ㄎㄨㄛ4", - "ㄏㄨㄚ2" - ], - "𪗾": [ - "ㄒㄧㄚ2" - ], - "𪘀": [ - "ㄆㄧㄢ2" - ], - "𪘁": [ - "ㄊㄚ4", - "ㄒㄧㄚ2" - ], - "𪘃": [ - "ㄧ3" - ], - "𪘆": [ - "ㄒㄧㄡ1" - ], - "𪘇": [ - "ㄓㄞ1" - ], - "𪘉": [ - "ㄉㄨㄛ3" - ], - "𪘊": [ - "ㄜ4" - ], - "𪘎": [ - "ㄧㄣ2", - "ㄋㄧㄝ4" - ], - "𪘐": [ - "ㄜ4" - ], - "𪘑": [ - "ㄙㄨㄢ1" - ], - "𪘒": [ - "ㄢ1" - ], - "𪘓": [ - "ㄘㄨㄛ2" - ], - "𪘕": [ - "ㄊㄨㄛ2" - ], - "𪘗": [ - "ㄊㄨㄛ2" - ], - "𪘘": [ - "ㄒㄧㄚ2" - ], - "𪘛": [ - "ㄔㄨㄛ4" - ], - "𪘝": [ - "ㄙㄨㄢ1" - ], - "𪘥": [ - "ㄐㄧ4" - ], - "𪘦": [ - "ㄑㄧㄢ3" - ], - "𪘧": [ - "ㄗㄨ2" - ], - "𪘨": [ - "ㄓㄞ1" - ], - "𪘩": [ - "ㄩㄣ3", - "ㄎㄨㄣ3" - ], - "𪘪": [ - "ㄓㄢ4" - ], - "𪘬": [ - "ㄧ2", - "ㄧㄚ4", - "ㄧㄚ2" - ], - "𪘲": [ - "ㄧㄚ2", - "ㄧ2", - "ㄧㄚ4", - "ㄘ1" - ], - "𪘳": [ - "ㄩㄝ1" - ], - "𪘹": [ - "ㄏㄜ2" - ], - "𪘺": [ - "ㄑㄧㄚ4" - ], - "𪘾": [ - "ㄔㄚ1" - ], - "𪙃": [ - "ㄡ2" - ], - "𪙈": [ - "ㄏㄨ2" - ], - "𪙊": [ - "ㄧㄢ4" - ], - "𪙌": [ - "ㄑㄧㄝ4" - ], - "𪙍": [ - "ㄅㄛ2" - ], - "𪙎": [ - "ㄑㄧㄤ1" - ], - "𪙏": [ - "ㄐㄧㄝ4", - "ㄐㄧㄚ2" - ], - "𪙛": [ - "ㄋㄧ4" - ], - "𪙞": [ - "ㄔㄢ3" - ], - "𪙟": [ - "ㄑㄧㄣ3" - ], - "𪙡": [ - "ㄗㄠ1" - ], - "𪙤": [ - "ㄧㄣ3" - ], - "𪙥": [ - "ㄒㄧㄝ4" - ], - "𪙧": [ - "ㄑㄧ2" - ], - "𪙨": [ - "ㄐㄧㄢ4", - "ㄐㄧㄢ1" - ], - "𪙫": [ - "ㄒㄩ1" - ], - "𪙭": [ - "ㄗㄥ4" - ], - "𪙯": [ - "ㄜ4" - ], - "𪙳": [ - "ㄗㄨ1" - ], - "𪙴": [ - "ㄧ3" - ], - "𪙹": [ - "ㄓ2" - ], - "𪙺": [ - "ㄌㄧ4" - ], - "𪙽": [ - "ㄌㄧ4" - ], - "𪙾": [ - "ㄧㄣ2" - ], - "𪚁": [ - "ㄌㄧㄢ2" - ], - "𪚃": [ - "ㄔㄢ2" - ], - "𪚅": [ - "ㄐㄩㄝ2" - ], - "𪚇": [ - "ㄗㄚ2" - ], - "𪚎": [ - "ㄓㄞ1" - ], - "𪚏": [ - "ㄆㄧㄢ2" - ], - "𪚑": [ - "ㄌㄨㄥ2" - ], - "𪚓": [ - "ㄌㄨㄥ2" - ], - "𪚘": [ - "ㄌㄨㄥ2" - ], - "𪚝": [ - "ㄌㄨㄥ2" - ], - "𪚠": [ - "ㄌㄨㄥ2" - ], - "𪚢": [ - "ㄇㄤ3" - ], - "𪚥": [ - "ㄓㄜ2" - ], - "𪚬": [ - "ㄍㄢ4" - ], - "𪚭": [ - "ㄍㄡ1" - ], - "𪚮": [ - "ㄖㄢ2" - ], - "𪚯": [ - "ㄘㄨ4" - ], - "𪚰": [ - "ㄐㄧㄠ1" - ], - "𪚷": [ - "ㄅㄛ3" - ], - "𪚹": [ - "ㄓㄨ4" - ], - "𪚺": [ - "ㄑㄧㄡ1" - ], - "𪚻": [ - "ㄧㄤ1" - ], - "𪛀": [ - "ㄒㄧㄠ4" - ], - "𪛂": [ - "ㄏㄨㄟ2" - ], - "𪛃": [ - "ㄑㄩ1" - ], - "𪛈": [ - "ㄌㄧㄥ2" - ], - "𪛊": [ - "ㄧㄣ2" - ], - "𪛎": [ - "ㄆㄧ4" - ], - "𪛒": [ - "ㄌㄧㄢ2" - ], - "𪞝": [ - "ㄉㄨㄛ2" - ], - "𪟝": [ - "ㄐㄧ4", - "ㄐㄧ1" - ], - "𪡈": [ - "ㄅㄞ2" - ], - "𪡏": [ - "ㄓㄢ1" - ], - "𪢮": [ - "ㄌㄨㄢ2" - ], - "𪣻": [ - "ㄌㄡ2" - ], - "𪤗": [ - "ㄌㄧㄠ4" - ], - "𪨊": [ - "ㄙㄨㄥ2" - ], - "𪨗": [ - "ㄐㄩㄝ1" - ], - "𪨰": [ - "ㄑㄩ1" - ], - "𪨶": [ - "ㄕㄜ1" - ], - "𪩘": [ - "ㄧㄢ3" - ], - "𪪝": [ - "ㄩㄥ1" - ], - "𪺹": [ - "ㄋㄨ3" - ], - "𪻐": [ - "ㄘㄨㄥ1" - ], - "𪾢": [ - "ㄒㄧㄢ4" - ], - "𫁡": [ - "ㄌㄧ4" - ], - "𫂈": [ - "ㄈㄟ4" - ], - "𫂙": [ - "ㄙㄨ4" - ], - "𫃜": [ - "ㄎㄡ4" - ], - "𫄧": [ - "ㄧㄢ2" - ], - "𫄨": [ - "ㄔ1" - ], - "𫄷": [ - "ㄧ4" - ], - "𫄸": [ - "ㄒㄩㄣ1" - ], - "𫇭": [ - "ㄨㄟ3" - ], - "𫈰": [ - "ㄑㄧㄚ4" - ], - "𫋐": [ - "ㄍㄨㄥ3" - ], - "𫌀": [ - "ㄐㄧ1" - ], - "𫌨": [ - "ㄌㄨㄛ2" - ], - "𫍙": [ - "ㄧ4" - ], - "𫍟": [ - "ㄧ2" - ], - "𫍢": [ - "ㄋㄠ2" - ], - "𫍣": [ - "ㄊㄨㄥ2" - ], - "𫍯": [ - "ㄒㄧㄢ2" - ], - "𫍰": [ - "ㄒㄧ3" - ], - "𫍲": [ - "ㄒㄧㄠ3" - ], - "𫍽": [ - "ㄒㄩㄢ1" - ], - "𫏋": [ - "ㄐㄩㄝ1", - "ㄑㄧㄠ1" - ], - "𫐄": [ - "ㄩㄝ4" - ], - "𫐆": [ - "ㄎㄨㄞ4" - ], - "𫐉": [ - "ㄌㄧㄥ2" - ], - "𫐐": [ - "ㄋㄧ2" - ], - "𫐓": [ - "ㄅㄨ4", - "ㄖㄡ2" - ], - "𫑡": [ - "ㄇㄥ2" - ], - "𫒶": [ - "ㄏㄢ2" - ], - "𫓧": [ - "ㄈㄨ1" - ], - "𫓩": [ - "ㄘㄨㄥ1" - ], - "𫓯": [ - "ㄐㄧ1" - ], - "𫓶": [ - "ㄒㄩㄢ1" - ], - "𫓹": [ - "ㄐㄧ1" - ], - "𫔍": [ - "ㄈㄢ2" - ], - "𫔎": [ - "ㄐㄩㄝ2" - ], - "𫔶": [ - "ㄋㄧㄝ4" - ], - "𫖮": [ - "ㄧ3" - ], - "𫖯": [ - "ㄈㄨ3" - ], - "𫖳": [ - "ㄩㄣ1" - ], - "𫗠": [ - "ㄓㄤ1" - ], - "𫗦": [ - "ㄅㄨ4" - ], - "𫗧": [ - "ㄙㄨ4" - ], - "𫗮": [ - "ㄏㄨㄤ2" - ], - "𫗴": [ - "ㄓㄢ1" - ], - "𫘜": [ - "ㄨㄣ2" - ], - "𫘝": [ - "ㄐㄩㄝ2" - ], - "𫘣": [ - "ㄏㄢ4" - ], - "𫘤": [ - "ㄞ2" - ], - "𫘦": [ - "ㄊㄠ2" - ], - "𫘧": [ - "ㄌㄨ4" - ], - "𫘨": [ - "ㄊㄧ2" - ], - "𫘪": [ - "ㄩㄢ2" - ], - "𫘬": [ - "ㄒㄧ2" - ], - "𫚈": [ - "ㄒㄩ4" - ], - "𫚉": [ - "ㄏㄨㄥ2" - ], - "𫚒": [ - "ㄈㄨ2" - ], - "𫚔": [ - "ㄏㄨㄟ2" - ], - "𫚕": [ - "ㄕ1" - ], - "𫚖": [ - "ㄘ3" - ], - "𫚙": [ - "ㄆㄨ1" - ], - "𫚭": [ - "ㄌㄧㄝ4" - ], - "𫛛": [ - "ㄓ1" - ], - "𫛞": [ - "ㄐㄩㄝ2" - ], - "𫛢": [ - "ㄋㄧㄥ2" - ], - "𫛭": [ - "ㄎㄨㄤ2" - ], - "𫛶": [ - "ㄔ4" - ], - "𫛸": [ - "ㄊㄧ2" - ], - "𫜷": [ - "ㄕㄡ4" - ], - "𫜸": [ - "ㄏㄨㄚ4" - ], - "𫞩": [ - "ㄇㄣ2" - ], - "𫟅": [ - "ㄌㄧㄤ2" - ], - "𫟦": [ - "ㄙㄨㄟ4" - ], - "𫟷": [ - "ㄌㄧ4" - ], - "𫟹": [ - "ㄏㄨㄥ2" - ], - "𫟼": [ - "ㄉㄚ2" - ], - "𫠆": [ - "ㄎㄨㄟ3" - ], - "𫠊": [ - "ㄒㄩㄢ2" - ], - "𫠜": [ - "ㄋㄧ2" - ], - "𫠥": [ - "ㄌㄡ4" - ], - "𫡑": [ - "ㄧㄣ1" - ], - "𫢸": [ - "ㄉㄢ4" - ], - "𫫇": [ - "ㄜ3", - "ㄜ4" - ], - "𫭟": [ - "ㄡ1", - "ㄑㄩ1" - ], - "𫭢": [ - "ㄌㄨㄣ3" - ], - "𫭼": [ - "ㄌㄠ2" - ], - "𫮃": [ - "ㄕㄢ4" - ], - "𫮬": [ - "ㄐㄧㄤ4" - ], - "𫰛": [ - "ㄒㄧㄥ2" - ], - "𫵷": [ - "ㄌㄧ4" - ], - "𫶇": [ - "ㄉㄧㄝ2" - ], - "𫷷": [ - "ㄒㄧㄣ1" - ], - "𫸩": [ - "ㄎㄡ1" - ], - "𫼛": [ - "ㄉㄧㄠ4" - ], - "𫽮": [ - "ㄉㄤ3" - ], - "𬀩": [ - "ㄨㄟ3" - ], - "𬀪": [ - "ㄒㄧㄢ4" - ], - "𬀷": [ - "ㄕㄤ1" - ], - "𬂩": [ - "ㄐㄧㄚ1" - ], - "𬃊": [ - "ㄓ4" - ], - "𬆛": [ - "ㄋㄠ3" - ], - "𬇕": [ - "ㄨㄢ4" - ], - "𬇙": [ - "ㄆㄟ4", - "ㄅㄟ4" - ], - "𬇹": [ - "ㄍㄨㄛ2" - ], - "𬉼": [ - "ㄡ1", - "ㄡ3" - ], - "𬊈": [ - "ㄒㄩㄣ2" - ], - "𬊤": [ - "ㄔㄢ3" - ], - "𬌗": [ - "ㄏㄜ2" - ], - "𬍛": [ - "ㄌㄧ4" - ], - "𬍡": [ - "ㄉㄤ4" - ], - "𬍤": [ - "ㄒㄩㄣ2" - ], - "𬐚": [ - "ㄏㄞ3" - ], - "𬑔": [ - "ㄓㄨㄥ4" - ], - "𬑡": [ - "ㄔㄡ3" - ], - "𬒈": [ - "ㄑㄩㄝ4" - ], - "𬒔": [ - "ㄍㄥ3" - ], - "𬒗": [ - "ㄌㄢ2" - ], - "𬒘": [ - "ㄒㄧㄣ4" - ], - "𬓼": [ - "ㄊㄨㄟ2" - ], - "𬕂": [ - "ㄍㄨㄥ1", - "ㄌㄨㄥ3" - ], - "𬘓": [ - "ㄒㄩㄣ2" - ], - "𬘘": [ - "ㄉㄢ3" - ], - "𬘡": [ - "ㄧㄣ1" - ], - "𬘩": [ - "ㄊㄧㄥ1" - ], - "𬘫": [ - "ㄏㄨㄢ2" - ], - "𬘬": [ - "ㄑㄧㄢ4" - ], - "𬘭": [ - "ㄌㄧㄣ2", - "ㄔㄣ1" - ], - "𬘯": [ - "ㄓㄨㄣ3" - ], - "𬙂": [ - "ㄧㄢ3" - ], - "𬙊": [ - "ㄇㄛ4" - ], - "𬙋": [ - "ㄒㄧㄤ1" - ], - "𬛸": [ - "ㄋㄧㄝ1" - ], - "𬜬": [ - "ㄇㄢ4" - ], - "𬜯": [ - "ㄌㄧㄤ3" - ], - "𬞟": [ - "ㄆㄧㄣ2" - ], - "𬟁": [ - "ㄧ4" - ], - "𬟽": [ - "ㄉㄨㄥ1" - ], - "𬣙": [ - "ㄒㄩ1" - ], - "𬣞": [ - "ㄓㄨ3" - ], - "𬣡": [ - "ㄐㄧㄢ4" - ], - "𬣳": [ - "ㄏㄣ3" - ], - "𬤇": [ - "ㄧㄣ1" - ], - "𬤊": [ - "ㄕ4" - ], - "𬤝": [ - "ㄏㄨㄟ4" - ], - "𬤥": [ - "ㄓㄨㄢ4" - ], - "𬨂": [ - "ㄑㄧ2" - ], - "𬨎": [ - "ㄧㄡ2" - ], - "𬩽": [ - "ㄒㄩㄣ2" - ], - "𬪩": [ - "ㄋㄨㄥ2" - ], - "𬬩": [ - "ㄧ4" - ], - "𬬭": [ - "ㄌㄨㄣ2" - ], - "𬬮": [ - "ㄔㄤ3" - ], - "𬬱": [ - "ㄐㄧㄣ1" - ], - "𬬸": [ - "ㄕㄨ4" - ], - "𬬹": [ - "ㄕㄣ2" - ], - "𬬻": [ - "ㄌㄨ2" - ], - "𬬿": [ - "ㄓㄠ1" - ], - "𬭁": [ - "ㄇㄨ3" - ], - "𬭊": [ - "ㄉㄨ4" - ], - "𬭎": [ - "ㄏㄨㄥ2" - ], - "𬭚": [ - "ㄔㄨㄣ2" - ], - "𬭛": [ - "ㄅㄛ1" - ], - "𬭤": [ - "ㄏㄡ2" - ], - "𬭩": [ - "ㄨㄥ1" - ], - "𬭬": [ - "ㄨㄟ4", - "ㄏㄨㄟ4" - ], - "𬭯": [ - "ㄆㄧㄝ3" - ], - "𬭳": [ - "ㄒㄧ3" - ], - "𬭶": [ - "ㄏㄟ1" - ], - "𬭸": [ - "ㄌㄧㄣ2" - ], - "𬭼": [ - "ㄙㄨㄟ4" - ], - "𬮱": [ - "ㄧㄣ1" - ], - "𬮿": [ - "ㄑㄧ2", - "ㄍㄞ4" - ], - "𬯀": [ - "ㄐㄧ1" - ], - "𬯎": [ - "ㄊㄨㄟ2" - ], - "𬰃": [ - "ㄇㄨ4" - ], - "𬱖": [ - "ㄉㄧ2" - ], - "𬱟": [ - "ㄨㄟ3" - ], - "𬲜": [ - "ㄔㄥ1" - ], - "𬳲": [ - "ㄔㄢ3" - ], - "𬳵": [ - "ㄆㄧ1" - ], - "𬳶": [ - "ㄐㄩㄥ1" - ], - "𬳽": [ - "ㄕㄣ1" - ], - "𬳿": [ - "ㄊㄨ2" - ], - "𬴂": [ - "ㄈㄟ1" - ], - "𬴃": [ - "ㄏㄨㄛ1" - ], - "𬴊": [ - "ㄌㄧㄣ2" - ], - "𬶋": [ - "ㄐㄩ1" - ], - "𬶍": [ - "ㄊㄨㄛ2" - ], - "𬶏": [ - "ㄨㄟ2" - ], - "𬶐": [ - "ㄓㄠ4" - ], - "𬶟": [ - "ㄌㄚ4" - ], - "𬶠": [ - "ㄌㄧㄢ4" - ], - "𬶨": [ - "ㄐㄧ4" - ], - "𬶭": [ - "ㄐㄧ4" - ], - "𬶮": [ - "ㄒㄧ3" - ], - "𬷕": [ - "ㄅㄨ1", - "ㄅㄨ3" - ], - "𬸘": [ - "ㄧㄢ3" - ], - "𬸚": [ - "ㄩㄝ4" - ], - "𬸣": [ - "ㄒㄧㄢ1" - ], - "𬸦": [ - "ㄓㄨㄛ2" - ], - "𬸪": [ - "ㄈㄢ2" - ], - "𬹼": [ - "ㄒㄧㄝ4" - ], - "𬺈": [ - "ㄧ3" - ], - "𬺓": [ - "ㄔㄨ3" - ], - "𭀖": [ - "ㄌㄧ2" - ], - "灰": [ - "ㄏㄨㄟ1" - ], - "𰻝": [ - "ㄅㄧㄤ2" - ], - "𰻞": [ - "ㄅㄧㄤ2" - ] -} \ No newline at end of file diff --git a/paddlespeech/t2s/frontend/g2pw/dataset.py b/paddlespeech/t2s/frontend/g2pw/dataset.py index 4fa3f9ccc..8125f71f0 100644 --- a/paddlespeech/t2s/frontend/g2pw/dataset.py +++ b/paddlespeech/t2s/frontend/g2pw/dataset.py @@ -1,3 +1,7 @@ +""" +Credits + This code is modified from https://github.com/GitYCC/g2pW +""" import numpy as np from paddlespeech.t2s.frontend.g2pw.utils import tokenize_and_map @@ -128,8 +132,3 @@ def get_char_phoneme_labels(polyphonic_chars): char2phonemes[char] = [] char2phonemes[char].append(labels.index(f'{char} {phoneme}')) return labels, char2phonemes - - -def prepare_pos(pos_path): - return open(pos_path).read().rstrip().split('\n') - diff --git a/paddlespeech/t2s/frontend/g2pw/onnx_api.py b/paddlespeech/t2s/frontend/g2pw/onnx_api.py index 8861a80b2..57c11f289 100644 --- a/paddlespeech/t2s/frontend/g2pw/onnx_api.py +++ b/paddlespeech/t2s/frontend/g2pw/onnx_api.py @@ -1,3 +1,7 @@ +""" +Credits + This code is modified from https://github.com/GitYCC/g2pW +""" import os import json import onnxruntime @@ -7,7 +11,10 @@ from opencc import OpenCC from paddlenlp.transformers import BertTokenizer -from paddlespeech.t2s.frontend.g2pw.dataset import prepare_data, prepare_onnx_input, get_phoneme_labels, get_char_phoneme_labels +from paddlespeech.t2s.frontend.g2pw.dataset import prepare_data,\ + prepare_onnx_input,\ + get_phoneme_labels,\ + get_char_phoneme_labels from paddlespeech.t2s.frontend.g2pw.utils import load_config MODEL_URL = 'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/g2p/G2PWModel.tar' @@ -34,6 +41,7 @@ def predict(session, onnx_input, labels): def download_model(model_dir): + os.makedirs(model_dir, exist_ok=True) wget_shell = "cd %s && wget %s"%(model_dir,MODEL_URL) os.system(wget_shell) shell = "cd %s ;tar -xvf %s;cd %s/G2PWModel;rm -rf .*" % (model_dir,MODEL_URL.split("/")[-1], model_dir) @@ -44,10 +52,12 @@ def download_model(model_dir): class G2PWOnnxConverter: def __init__(self, style='bopomofo', model_source=None, enable_non_tradional_chinese=False): - model_dir = os.path.dirname(os.path.abspath(__file__)) + model_dir = os.path.join(os.path.expandvars('$HOME'), 'paddlespeech/models') if not os.path.exists(os.path.join(model_dir, 'G2PWModel/g2pW.onnx')): download_model(model_dir) + sess_options = onnxruntime.SessionOptions() + sess_options.intra_op_num_threads = 2 self.session_g2pW = onnxruntime.InferenceSession(os.path.join(model_dir, 'G2PWModel/g2pW.onnx')) self.config = load_config(os.path.join(model_dir, 'G2PWModel/config.py'), use_default=True) @@ -65,16 +75,14 @@ class G2PWOnnxConverter: self.chars = sorted(list(self.char2phonemes.keys())) self.pos_tags = ['UNK', 'A', 'C', 'D', 'I', 'N', 'P', 'T', 'V', 'DE', 'SHI'] - with open(os.path.join(os.path.dirname(os.path.abspath(__file__)), - 'bopomofo_to_pinyin_wo_tune_dict.json'), 'r',encoding='utf-8') as fr: + with open(os.path.join(model_dir,'G2PWModel/bopomofo_to_pinyin_wo_tune_dict.json'), 'r',encoding='utf-8') as fr: self.bopomofo_convert_dict = json.load(fr) self.style_convert_func = { 'bopomofo': lambda x: x, 'pinyin': self._convert_bopomofo_to_pinyin, }[style] - with open(os.path.join(os.path.dirname(os.path.abspath(__file__)), - 'char_bopomofo_dict.json'), 'r',encoding='utf-8') as fr: + with open(os.path.join(model_dir,'G2PWModel/char_bopomofo_dict.json'), 'r',encoding='utf-8') as fr: self.char_bopomofo_dict = json.load(fr) if self.enable_opencc: diff --git a/paddlespeech/t2s/frontend/g2pw/utils.py b/paddlespeech/t2s/frontend/g2pw/utils.py index 2abeef8bf..771e90079 100644 --- a/paddlespeech/t2s/frontend/g2pw/utils.py +++ b/paddlespeech/t2s/frontend/g2pw/utils.py @@ -1,27 +1,11 @@ + +""" +Credits + This code is modified from https://github.com/GitYCC/g2pW +""" import re -import logging import sys - -class RunningAverage: - def __init__(self): - self.values = [] - - def add(self, val): - self.values.append(val) - - def add_all(self, vals): - self.values += vals - - def get(self): - if len(self.values) == 0: - return None - return sum(self.values) / len(self.values) - - def flush(self): - self.values = [] - - def wordize_and_map(text): words = [] index_map_from_text_to_word = [] @@ -146,16 +130,4 @@ def load_config(config_path, use_default=False): for dict_k, dict_v in val.items(): if dict_k not in d: d[dict_k] = dict_v - return config - - -def get_logger(file_path): - logger = logging.getLogger() - logger.setLevel(logging.DEBUG) - - output_file_handler = logging.FileHandler(file_path) - stdout_handler = logging.StreamHandler(sys.stdout) - - logger.addHandler(output_file_handler) - logger.addHandler(stdout_handler) - return logger + return config \ No newline at end of file diff --git a/paddlespeech/t2s/frontend/zh_frontend.py b/paddlespeech/t2s/frontend/zh_frontend.py index 516cc6e9a..e61299992 100644 --- a/paddlespeech/t2s/frontend/zh_frontend.py +++ b/paddlespeech/t2s/frontend/zh_frontend.py @@ -79,7 +79,7 @@ class Frontend(): self.tone_modifier = ToneSandhi() self.text_normalizer = TextNormalizer() self.punc = "：，；。？！“”‘’':,;.?!" - # g2p_model can be pypinyin and g2pM + # g2p_model can be pypinyin and g2pM and g2pW self.g2p_model = g2p_model if self.g2p_model == "g2pM": self.g2pM_model = G2pM() @@ -87,6 +87,7 @@ class Frontend(): with_tone=True, with_erhua=False) elif self.g2p_model == "g2pW": self.corrector = Polyphonic() + self.g2pM_model = G2pM() self.g2pW_model = G2PWOnnxConverter(style='pinyin', enable_non_tradional_chinese=True) self.pinyin2phone = generate_lexicon( with_tone=True, with_erhua=False) @@ -180,8 +181,14 @@ class Frontend(): initials = [] finals = [] seg_cut = self.tone_modifier.pre_merge_for_modify(seg_cut) + # 为了多音词获得更好的效果，这里采用整句预测 if self.g2p_model == "g2pW": - pinyins = self.g2pW_model(seg)[0] + try: + pinyins = self.g2pW_model(seg)[0] + except Exception: + # g2pW采用模型采用繁体输入，如果有cover不了的简体词，采用g2pM预测 + print("[%s] not in g2pW dict,use g2pM"%seg) + pinyins = self.g2pM_model(seg, tone=True, char_split=False) pre_word_length = 0 for word, pos in seg_cut: sub_initials = [] From de0f99150a653e8184df3dca02b139f5ff6198d4 Mon Sep 17 00:00:00 2001 From: BarryKCL Date: Mon, 8 Aug 2022 21:29:10 +0800 Subject: [PATCH 173/192] change G2PWModel download --- MANIFEST.in | 3 +- paddlespeech/resource/pretrained_models.py | 49 +++++++++------------- paddlespeech/t2s/frontend/g2pw/onnx_api.py | 21 +++------- 3 files changed, 26 insertions(+), 47 deletions(-) diff --git a/MANIFEST.in b/MANIFEST.in index a27241770..7c9f4165c 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -1,3 +1,2 @@ include paddlespeech/t2s/exps/*.txt -include paddlespeech/t2s/frontend/*.yaml -include paddlespeech/t2s/frontend/g2pw/*.json \ No newline at end of file +include paddlespeech/t2s/frontend/*.yaml \ No newline at end of file diff --git a/paddlespeech/resource/pretrained_models.py b/paddlespeech/resource/pretrained_models.py index bfe2bc7ec..d474fc62e 100644 --- a/paddlespeech/resource/pretrained_models.py +++ b/paddlespeech/resource/pretrained_models.py @@ -655,24 +655,6 @@ tts_dynamic_pretrained_models = { 'phone_id_map.txt', }, }, - "fastspeech2_mix-mix": { - '1.0': { - 'url': - 'https://paddlespeech.bj.bcebos.com/t2s/chinse_english_mixed/models/fastspeech2_csmscljspeech_add-zhen.zip', - 'md5': - '77d9d4b5a79ed6203339ead7ef6c74f9', - 'config': - 'default.yaml', - 'ckpt': - 'snapshot_iter_94000.pdz', - 'speech_stats': - 'speech_stats.npy', - 'phones_dict': - 'phone_id_map.txt', - 'speaker_dict': - 'speaker_id_map.txt', - }, - }, # tacotron2 "tacotron2_csmsc-zh": { '1.0': { @@ -1095,8 +1077,7 @@ tts_onnx_pretrained_models = { 'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/speedyspeech/speedyspeech_csmsc_onnx_0.2.0.zip', 'md5': '3e9c45af9ef70675fc1968ed5074fc88', - 'ckpt': - 'speedyspeech_csmsc.onnx', + 'ckpt': ['speedyspeech_csmsc.onnx'], 'phones_dict': 'phone_id_map.txt', 'tones_dict': @@ -1112,8 +1093,7 @@ tts_onnx_pretrained_models = { 'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_csmsc_onnx_0.2.0.zip', 'md5': 'fd3ad38d83273ad51f0ea4f4abf3ab4e', - 'ckpt': - 'fastspeech2_csmsc.onnx', + 'ckpt': ['fastspeech2_csmsc.onnx'], 'phones_dict': 'phone_id_map.txt', 'sample_rate': @@ -1126,8 +1106,7 @@ tts_onnx_pretrained_models = { 'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_ljspeech_onnx_1.1.0.zip', 'md5': '00754307636a48c972a5f3e65cda3d18', - 'ckpt': - 'fastspeech2_ljspeech.onnx', + 'ckpt': ['fastspeech2_ljspeech.onnx'], 'phones_dict': 'phone_id_map.txt', 'sample_rate': @@ -1140,8 +1119,7 @@ tts_onnx_pretrained_models = { 'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_aishell3_onnx_1.1.0.zip', 'md5': 'a1d6ee21de897ce394f5469e2bb4df0d', - 'ckpt': - 'fastspeech2_aishell3.onnx', + 'ckpt': ['fastspeech2_aishell3.onnx'], 'phones_dict': 'phone_id_map.txt', 'speaker_dict': @@ -1153,11 +1131,10 @@ tts_onnx_pretrained_models = { "fastspeech2_vctk_onnx-en": { '1.0': { 'url': - 'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_vctk_onnx_1.1.0.zip', + 'hhttps://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_vctk_onnx_1.1.0.zip', 'md5': 'd9c3a9b02204a2070504dd99f5f959bf', - 'ckpt': - 'fastspeech2_vctk.onnx', + 'ckpt': ['fastspeech2_vctk.onnx'], 'phones_dict': 'phone_id_map.txt', 'speaker_dict': @@ -1335,3 +1312,17 @@ kws_dynamic_pretrained_models = { }, }, } + +# --------------------------------- +# ------------- G2PW --------------- +# --------------------------------- +g2pw_onnx_models = { + 'G2PWModel': { + '1.0': { + 'url': + 'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/g2p/G2PWModel.tar', + 'md5': + '86a3dd8db0291c575c46e134111dce23', + }, + }, +} diff --git a/paddlespeech/t2s/frontend/g2pw/onnx_api.py b/paddlespeech/t2s/frontend/g2pw/onnx_api.py index 57c11f289..9628fa635 100644 --- a/paddlespeech/t2s/frontend/g2pw/onnx_api.py +++ b/paddlespeech/t2s/frontend/g2pw/onnx_api.py @@ -10,14 +10,14 @@ import numpy as np from opencc import OpenCC from paddlenlp.transformers import BertTokenizer - +from paddlespeech.utils.env import MODEL_HOME from paddlespeech.t2s.frontend.g2pw.dataset import prepare_data,\ prepare_onnx_input,\ get_phoneme_labels,\ get_char_phoneme_labels from paddlespeech.t2s.frontend.g2pw.utils import load_config - -MODEL_URL = 'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/g2p/G2PWModel.tar' +from paddlespeech.cli.utils import download_and_decompress +from paddlespeech.resource.pretrained_models import g2pw_onnx_models def predict(session, onnx_input, labels): @@ -40,21 +40,10 @@ def predict(session, onnx_input, labels): return all_preds, all_confidences -def download_model(model_dir): - os.makedirs(model_dir, exist_ok=True) - wget_shell = "cd %s && wget %s"%(model_dir,MODEL_URL) - os.system(wget_shell) - shell = "cd %s ;tar -xvf %s;cd %s/G2PWModel;rm -rf .*" % (model_dir,MODEL_URL.split("/")[-1], model_dir) - os.system(shell) - rm_shell = "cd %s && rm -rf %s"%(model_dir,MODEL_URL.split("/")[-1]) - os.system(rm_shell) - - class G2PWOnnxConverter: - def __init__(self, style='bopomofo', model_source=None, enable_non_tradional_chinese=False): - model_dir = os.path.join(os.path.expandvars('$HOME'), 'paddlespeech/models') + def __init__(self, model_dir = MODEL_HOME, style='bopomofo', model_source=None, enable_non_tradional_chinese=False): if not os.path.exists(os.path.join(model_dir, 'G2PWModel/g2pW.onnx')): - download_model(model_dir) + uncompress_path = download_and_decompress(g2pw_onnx_models['G2PWModel']['1.0'],model_dir) sess_options = onnxruntime.SessionOptions() sess_options.intra_op_num_threads = 2 From 61dd92e49c4d1394b89e7e944edb72dfd3d95c3c Mon Sep 17 00:00:00 2001 From: BarryKCL Date: Mon, 8 Aug 2022 21:33:29 +0800 Subject: [PATCH 174/192] update --- paddlespeech/resource/pretrained_models.py | 35 ++++++++++++++++++---- 1 file changed, 29 insertions(+), 6 deletions(-) diff --git a/paddlespeech/resource/pretrained_models.py b/paddlespeech/resource/pretrained_models.py index d474fc62e..e844cda3f 100644 --- a/paddlespeech/resource/pretrained_models.py +++ b/paddlespeech/resource/pretrained_models.py @@ -655,6 +655,24 @@ tts_dynamic_pretrained_models = { 'phone_id_map.txt', }, }, + "fastspeech2_mix-mix": { + '1.0': { + 'url': + 'https://paddlespeech.bj.bcebos.com/t2s/chinse_english_mixed/models/fastspeech2_csmscljspeech_add-zhen.zip', + 'md5': + '77d9d4b5a79ed6203339ead7ef6c74f9', + 'config': + 'default.yaml', + 'ckpt': + 'snapshot_iter_94000.pdz', + 'speech_stats': + 'speech_stats.npy', + 'phones_dict': + 'phone_id_map.txt', + 'speaker_dict': + 'speaker_id_map.txt', + }, + }, # tacotron2 "tacotron2_csmsc-zh": { '1.0': { @@ -1077,7 +1095,8 @@ tts_onnx_pretrained_models = { 'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/speedyspeech/speedyspeech_csmsc_onnx_0.2.0.zip', 'md5': '3e9c45af9ef70675fc1968ed5074fc88', - 'ckpt': ['speedyspeech_csmsc.onnx'], + 'ckpt': + 'speedyspeech_csmsc.onnx', 'phones_dict': 'phone_id_map.txt', 'tones_dict': @@ -1093,7 +1112,8 @@ tts_onnx_pretrained_models = { 'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_csmsc_onnx_0.2.0.zip', 'md5': 'fd3ad38d83273ad51f0ea4f4abf3ab4e', - 'ckpt': ['fastspeech2_csmsc.onnx'], + 'ckpt': + 'fastspeech2_csmsc.onnx', 'phones_dict': 'phone_id_map.txt', 'sample_rate': @@ -1106,7 +1126,8 @@ tts_onnx_pretrained_models = { 'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_ljspeech_onnx_1.1.0.zip', 'md5': '00754307636a48c972a5f3e65cda3d18', - 'ckpt': ['fastspeech2_ljspeech.onnx'], + 'ckpt': + 'fastspeech2_ljspeech.onnx', 'phones_dict': 'phone_id_map.txt', 'sample_rate': @@ -1119,7 +1140,8 @@ tts_onnx_pretrained_models = { 'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_aishell3_onnx_1.1.0.zip', 'md5': 'a1d6ee21de897ce394f5469e2bb4df0d', - 'ckpt': ['fastspeech2_aishell3.onnx'], + 'ckpt': + 'fastspeech2_aishell3.onnx', 'phones_dict': 'phone_id_map.txt', 'speaker_dict': @@ -1131,10 +1153,11 @@ tts_onnx_pretrained_models = { "fastspeech2_vctk_onnx-en": { '1.0': { 'url': - 'hhttps://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_vctk_onnx_1.1.0.zip', + 'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_vctk_onnx_1.1.0.zip', 'md5': 'd9c3a9b02204a2070504dd99f5f959bf', - 'ckpt': ['fastspeech2_vctk.onnx'], + 'ckpt': + 'fastspeech2_vctk.onnx', 'phones_dict': 'phone_id_map.txt', 'speaker_dict': From 1edd474bcb00939e06269b52b34792b5ee697b0f Mon Sep 17 00:00:00 2001 From: "david.95" Date: Tue, 9 Aug 2022 14:32:29 +0800 Subject: [PATCH 175/192] add filter for double punctuation in sentences; add homonym, test=tts --- paddlespeech/t2s/frontend/phonectic.py | 6 +++++- paddlespeech/t2s/frontend/zh_frontend.py | 2 ++ 2 files changed, 7 insertions(+), 1 deletion(-) diff --git a/paddlespeech/t2s/frontend/phonectic.py b/paddlespeech/t2s/frontend/phonectic.py index 8e9f11737..ff8c149af 100644 --- a/paddlespeech/t2s/frontend/phonectic.py +++ b/paddlespeech/t2s/frontend/phonectic.py @@ -99,7 +99,11 @@ class English(Phonetics): if (phn in self.vocab_phones and phn not in self.punc) else "sp" for phn in phones ] - phones_list.append(phones) + # when sentences have double punctuations in the end, like "!\"",or "?\"", will get null list like [] + # add judge to filter it + if len(phones) != 0: + # replace unk phone with sp + phones_list.append(phones) if merge_sentences: merge_list = sum(phones_list, []) diff --git a/paddlespeech/t2s/frontend/zh_frontend.py b/paddlespeech/t2s/frontend/zh_frontend.py index 143ccbc15..06e7dca26 100644 --- a/paddlespeech/t2s/frontend/zh_frontend.py +++ b/paddlespeech/t2s/frontend/zh_frontend.py @@ -94,10 +94,12 @@ class Frontend(): large_pinyin.load() load_phrases_dict({u'开户行': [[u'ka1i'], [u'hu4'], [u'hang2']]}) + load_phrases_dict({u'俩个':[[u'lia3ng'],[u'ge4']]}) load_phrases_dict({u'发卡行': [[u'fa4'], [u'ka3'], [u'hang2']]}) load_phrases_dict({u'放款行': [[u'fa4ng'], [u'kua3n'], [u'hang2']]}) load_phrases_dict({u'茧行': [[u'jia3n'], [u'hang2']]}) load_phrases_dict({u'行号': [[u'hang2'], [u'ha4o']]}) + load_phrases_dict({u'行政': [[u'xing2'], [u'zhen4g']]}) load_phrases_dict({u'各地': [[u'ge4'], [u'di4']]}) load_phrases_dict({u'借还款': [[u'jie4'], [u'hua2n'], [u'kua3n']]}) load_phrases_dict({u'时间为': [[u'shi2'], [u'jia1n'], [u'we2i']]}) From 894556f8715021cf0b8fb7032df4fad3a114679a Mon Sep 17 00:00:00 2001 From: lym0302 Date: Tue, 9 Aug 2022 08:11:44 +0000 Subject: [PATCH 176/192] add zh_en mix example, test=tts --- examples/zh_en_tts/tts3/README.md | 280 ++++++++++++++++-- examples/zh_en_tts/tts3/conf/default.yaml | 104 +++++++ examples/zh_en_tts/tts3/local/inference.sh | 39 +++ examples/zh_en_tts/tts3/local/ort_predict.sh | 43 +++ examples/zh_en_tts/tts3/local/paddle2onnx.sh | 1 + examples/zh_en_tts/tts3/local/preprocess.sh | 149 ++++++++++ examples/zh_en_tts/tts3/local/synthesize.sh | 50 ++++ .../zh_en_tts/tts3/local/synthesize_e2e.sh | 64 ++-- examples/zh_en_tts/tts3/local/train.sh | 13 + examples/zh_en_tts/tts3/run.sh | 63 ++++ examples/zh_en_tts/tts3/test.sh | 23 -- .../t2s/exps/fastspeech2/preprocess.py | 24 +- paddlespeech/t2s/exps/inference.py | 9 +- paddlespeech/t2s/exps/ort_predict_e2e.py | 11 +- paddlespeech/t2s/exps/syn_utils.py | 8 +- paddlespeech/t2s/exps/synthesize.py | 2 +- paddlespeech/t2s/exps/synthesize_e2e.py | 2 +- 17 files changed, 810 insertions(+), 75 deletions(-) create mode 100644 examples/zh_en_tts/tts3/conf/default.yaml create mode 100755 examples/zh_en_tts/tts3/local/inference.sh create mode 100755 examples/zh_en_tts/tts3/local/ort_predict.sh create mode 120000 examples/zh_en_tts/tts3/local/paddle2onnx.sh create mode 100755 examples/zh_en_tts/tts3/local/preprocess.sh create mode 100755 examples/zh_en_tts/tts3/local/synthesize.sh create mode 100755 examples/zh_en_tts/tts3/local/train.sh create mode 100755 examples/zh_en_tts/tts3/run.sh delete mode 100755 examples/zh_en_tts/tts3/test.sh diff --git a/examples/zh_en_tts/tts3/README.md b/examples/zh_en_tts/tts3/README.md index 6d38181cc..ead574293 100644 --- a/examples/zh_en_tts/tts3/README.md +++ b/examples/zh_en_tts/tts3/README.md @@ -1,26 +1,272 @@ -# Test -We train a Chinese-English mixed fastspeech2 model. The training code is still being sorted out, let's show how to use it first. -The sample rate of the synthesized audio is 22050 Hz. +# Mixed Chinese and English TTS with CSMSC, LJSpeech-1.1, AISHELL-3 and VCTK datasets -## Download pretrained models -Put pretrained models in a directory named `models`. +This example contains code used to train a [Fastspeech2](https://arxiv.org/abs/2006.04558) model with [CSMSC](https://www.data-baker.com/open_source.html), [LJSpeech-1.1](https://keithito.com/LJ-Speech-Dataset/), [AISHELL3](http://www.aishelltech.com/aishell_3) and [VCTK](https://datashare.ed.ac.uk/handle/10283/3443) datasets. -- [fastspeech2_csmscljspeech_add-zhen.zip](https://paddlespeech.bj.bcebos.com/t2s/chinse_english_mixed/models/fastspeech2_csmscljspeech_add-zhen.zip) -- [hifigan_ljspeech_ckpt_0.2.0.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/hifigan/hifigan_ljspeech_ckpt_0.2.0.zip) +## Dataset +### Download and Extract +Download all datasets and extract it to `~/datasets`. The CSMSC dataset is in the directory `~/datasets/BZNSYP`. The Ljspeech dataset is in the directory `~/datasets/LJSpeech-1.1`. The aishell3 dataset is in the directory `~/datasets/data_aishell3`. The vctk dataset is in the directory `~/datasets/VCTK-Corpus-0.92`. + +### Get MFA Result and Extract +We use [MFA](https://github.com/MontrealCorpusTools/Montreal-Forced-Aligner) to get durations for the fastspeech2 training. +You can download from here [baker_alignment_tone.tar.gz](https://paddlespeech.bj.bcebos.com/MFA/BZNSYP/with_tone/baker_alignment_tone.tar.gz), [ljspeech_alignment.tar.gz](https://paddlespeech.bj.bcebos.com/MFA/LJSpeech-1.1/ljspeech_alignment.tar.gz), [aishell3_alignment_tone.tar.gz](https://paddlespeech.bj.bcebos.com/MFA/AISHELL-3/with_tone/aishell3_alignment_tone.tar.gz) and [vctk_alignment.tar.gz](https://paddlespeech.bj.bcebos.com/MFA/VCTK-Corpus-0.92/vctk_alignment.tar.gz). Or train your MFA model reference to [mfa example](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/other/mfa) (use MFA1.x now) of our repo. + +## Get Started +Assume the paths of the datasets are `~/datasets/BZNSYP`, `~/datasets/LJSpeech-1.1`, `~/datasets/data_aishell3` and `~/datasets/VCTK-Corpus-0.92`. +Assume the path to the MFA result of the datasets are `./mfa_results/baker_alignment_tone`, `./mfa_results/ljspeech_alignment`, `./mfa_results/aishell3_alignment_tone` and `./mfa_results/vctk_alignment`. + +Run the command below to +1. **source path**. +2. preprocess the dataset. +3. train the model. +4. synthesize wavs. + - synthesize waveform from `metadata.jsonl`. + - synthesize waveform from text file. +```bash +./run.sh +``` + +You can choose a range of stages you want to run, or set `stage` equal to `stop-stage` to use only one stage, for example, running the following command will only preprocess the dataset. +```bash +./run.sh --stage 0 --stop-stage 0 +``` + +### Data Preprocessing ```bash -mkdir models -cd models -wget https://paddlespeech.bj.bcebos.com/t2s/chinse_english_mixed/models/fastspeech2_csmscljspeech_add-zhen.zip -unzip fastspeech2_csmscljspeech_add-zhen.zip -wget https://paddlespeech.bj.bcebos.com/Parakeet/released_models/hifigan/hifigan_ljspeech_ckpt_0.2.0.zip -unzip hifigan_ljspeech_ckpt_0.2.0.zip -cd ../ +./local/preprocess.sh ${conf_path} ${datasets_root_dir} ${mfa_root_dir} +``` +When it is done. A `dump` folder is created in the current directory. The structure of the dump folder is listed below. +```text +dump +├── dev +│ ├── norm +│ └── raw +├── phone_id_map.txt +├── speaker_id_map.txt +├── test +│ ├── norm +│ └── raw +└── train + ├── energy_stats.npy + ├── norm + ├── pitch_stats.npy + ├── raw + └── speech_stats.npy ``` +The dataset is split into 3 parts, namely `train`, `dev`, and` test`, each of which contains a `norm` and `raw` subfolder. The raw folder contains speech, pitch and energy features of each utterance, while the norm folder contains normalized ones. The statistics used to normalize features are computed from the training set, which is located in `dump/train/*_stats.npy`. -## test -You can choose `--spk_id` {0, 1} in `local/synthesize_e2e.sh`. +Also, there is a `metadata.jsonl` in each subfolder. It is a table-like file that contains phones, text_lengths, speech_lengths, durations, the path of speech features, the path of pitch features, a path of energy features, speaker, and id of each utterance. + +### Model Training +`./local/train.sh` calls `${BIN_DIR}/train.py`. ```bash -bash test.sh +CUDA_VISIBLE_DEVICES=${gpus} ./local/train.sh ${conf_path} ${train_output_path} +``` +Here's the complete help message. +```text +usage: train.py [-h] [--config CONFIG] [--train-metadata TRAIN_METADATA] + [--dev-metadata DEV_METADATA] [--output-dir OUTPUT_DIR] + [--ngpu NGPU] [--phones-dict PHONES_DICT] + [--speaker-dict SPEAKER_DICT] [--voice-cloning VOICE_CLONING] + +Train a FastSpeech2 model. + +optional arguments: + -h, --help show this help message and exit + --config CONFIG fastspeech2 config file. + --train-metadata TRAIN_METADATA + training data. + --dev-metadata DEV_METADATA + dev data. + --output-dir OUTPUT_DIR + output dir. + --ngpu NGPU if ngpu=0, use cpu. + --phones-dict PHONES_DICT + phone vocabulary file. + --speaker-dict SPEAKER_DICT + speaker id map file for multiple speaker model. + --voice-cloning VOICE_CLONING + whether training voice cloning model. +``` +1. `--config` is a config file in yaml format to overwrite the default config, which can be found at `conf/default.yaml`. +2. `--train-metadata` and `--dev-metadata` should be the metadata file in the normalized subfolder of `train` and `dev` in the `dump` folder. +3. `--output-dir` is the directory to save the results of the experiment. Checkpoints are saved in `checkpoints/` inside this directory. +4. `--ngpu` is the number of gpus to use, if ngpu == 0, use cpu. +5. `--phones-dict` is the path of the phone vocabulary file. +6. `--speaker-dict` is the path of the speaker id map file when training a multi-speaker FastSpeech2. + + +### Synthesizing +We use [parallel wavegan](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/aishell3/voc1) as the neural vocoder. +Download the pretrained parallel wavegan model from [pwg_aishell3_ckpt_0.5.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/pwgan/pwg_aishell3_ckpt_0.5.zip) and unzip it. + +```bash +unzip pwg_aishell3_ckpt_0.5.zip +``` +Parallel WaveGAN checkpoint contains files listed below. +```text +pwg_aishell3_ckpt_0.5 +├── default.yaml # default config used to train parallel wavegan +├── feats_stats.npy # statistics used to normalize spectrogram when training parallel wavegan +└── snapshot_iter_1000000.pdz # generator parameters of parallel wavegan +``` +`./local/synthesize.sh` calls `${BIN_DIR}/../synthesize.py`, which can synthesize waveform from `metadata.jsonl`. +```bash +CUDA_VISIBLE_DEVICES=${gpus} ./local/synthesize.sh ${conf_path} ${train_output_path} ${ckpt_name} +``` +```text +usage: synthesize.py [-h] + [--am {speedyspeech_csmsc,fastspeech2_csmsc,fastspeech2_ljspeech,fastspeech2_aishell3,fastspeech2_vctk,tacotron2_csmsc,tacotron2_ljspeech,tacotron2_aishell3, fastspeech2_mix}] + [--am_config AM_CONFIG] [--am_ckpt AM_CKPT] + [--am_stat AM_STAT] [--phones_dict PHONES_DICT] + [--tones_dict TONES_DICT] [--speaker_dict SPEAKER_DICT] + [--voice-cloning VOICE_CLONING] + [--voc {pwgan_csmsc,pwgan_ljspeech,pwgan_aishell3,pwgan_vctk,mb_melgan_csmsc,wavernn_csmsc,hifigan_csmsc,hifigan_ljspeech,hifigan_aishell3,hifigan_vctk,style_melgan_csmsc}] + [--voc_config VOC_CONFIG] [--voc_ckpt VOC_CKPT] + [--voc_stat VOC_STAT] [--ngpu NGPU] + [--test_metadata TEST_METADATA] [--output_dir OUTPUT_DIR] + +Synthesize with acoustic model & vocoder + +optional arguments: + -h, --help show this help message and exit + --am {speedyspeech_csmsc,fastspeech2_csmsc,fastspeech2_ljspeech,fastspeech2_aishell3,fastspeech2_vctk,tacotron2_csmsc,tacotron2_ljspeech,tacotron2_aishell3, fastspeech2_mix} + Choose acoustic model type of tts task. + --am_config AM_CONFIG + Config of acoustic model. + --am_ckpt AM_CKPT Checkpoint file of acoustic model. + --am_stat AM_STAT mean and standard deviation used to normalize + spectrogram when training acoustic model. + --phones_dict PHONES_DICT + phone vocabulary file. + --tones_dict TONES_DICT + tone vocabulary file. + --speaker_dict SPEAKER_DICT + speaker id map file. + --voice-cloning VOICE_CLONING + whether training voice cloning model. + --voc {pwgan_csmsc,pwgan_ljspeech,pwgan_aishell3,pwgan_vctk,mb_melgan_csmsc,wavernn_csmsc,hifigan_csmsc,hifigan_ljspeech,hifigan_aishell3,hifigan_vctk,style_melgan_csmsc} + Choose vocoder type of tts task. + --voc_config VOC_CONFIG + Config of voc. + --voc_ckpt VOC_CKPT Checkpoint file of voc. + --voc_stat VOC_STAT mean and standard deviation used to normalize + spectrogram when training voc. + --ngpu NGPU if ngpu == 0, use cpu. + --test_metadata TEST_METADATA + test metadata. + --output_dir OUTPUT_DIR + output dir. + + +``` +`./local/synthesize_e2e.sh` calls `${BIN_DIR}/../synthesize_e2e.py`, which can synthesize waveform from text file. +```bash +CUDA_VISIBLE_DEVICES=${gpus} ./local/synthesize_e2e.sh ${conf_path} ${train_output_path} ${ckpt_name} +``` +```text +usage: synthesize_e2e.py [-h] + [--am {speedyspeech_csmsc,speedyspeech_aishell3,fastspeech2_csmsc,fastspeech2_ljspeech,fastspeech2_aishell3,fastspeech2_vctk,tacotron2_csmsc,tacotron2_ljspeech, fastspeech2_mix}] + [--am_config AM_CONFIG] [--am_ckpt AM_CKPT] + [--am_stat AM_STAT] [--phones_dict PHONES_DICT] + [--tones_dict TONES_DICT] + [--speaker_dict SPEAKER_DICT] [--spk_id SPK_ID] + [--voc {pwgan_csmsc,pwgan_ljspeech,pwgan_aishell3,pwgan_vctk,mb_melgan_csmsc,style_melgan_csmsc,hifigan_csmsc,hifigan_ljspeech,hifigan_aishell3,hifigan_vctk,wavernn_csmsc}] + [--voc_config VOC_CONFIG] [--voc_ckpt VOC_CKPT] + [--voc_stat VOC_STAT] [--lang LANG] + [--inference_dir INFERENCE_DIR] [--ngpu NGPU] + [--text TEXT] [--output_dir OUTPUT_DIR] + +Synthesize with acoustic model & vocoder + +optional arguments: + -h, --help show this help message and exit + --am {speedyspeech_csmsc,speedyspeech_aishell3,fastspeech2_csmsc,fastspeech2_ljspeech,fastspeech2_aishell3,fastspeech2_vctk,tacotron2_csmsc,tacotron2_ljspeech, fastspeech2_mix} + Choose acoustic model type of tts task. + --am_config AM_CONFIG + Config of acoustic model. + --am_ckpt AM_CKPT Checkpoint file of acoustic model. + --am_stat AM_STAT mean and standard deviation used to normalize + spectrogram when training acoustic model. + --phones_dict PHONES_DICT + phone vocabulary file. + --tones_dict TONES_DICT + tone vocabulary file. + --speaker_dict SPEAKER_DICT + speaker id map file. + --spk_id SPK_ID spk id for multi speaker acoustic model + --voc {pwgan_csmsc,pwgan_ljspeech,pwgan_aishell3,pwgan_vctk,mb_melgan_csmsc,style_melgan_csmsc,hifigan_csmsc,hifigan_ljspeech,hifigan_aishell3,hifigan_vctk,wavernn_csmsc} + Choose vocoder type of tts task. + --voc_config VOC_CONFIG + Config of voc. + --voc_ckpt VOC_CKPT Checkpoint file of voc. + --voc_stat VOC_STAT mean and standard deviation used to normalize + spectrogram when training voc. + --lang LANG Choose model language. zh or en or mix + --inference_dir INFERENCE_DIR + dir to save inference models + --ngpu NGPU if ngpu == 0, use cpu. + --text TEXT text to synthesize, a 'utt_id sentence' pair per line. + --output_dir OUTPUT_DIR + output dir. +``` +1. `--am` is acoustic model type with the format {model_name}_{dataset} +2. `--am_config`, `--am_ckpt`, `--am_stat`, `--phones_dict` `--speaker_dict` are arguments for acoustic model, which correspond to the 5 files in the fastspeech2 pretrained model. +3. `--voc` is vocoder type with the format {model_name}_{dataset} +4. `--voc_config`, `--voc_ckpt`, `--voc_stat` are arguments for vocoder, which correspond to the 3 files in the parallel wavegan pretrained model. +5. `--lang` is the model language, which can be `zh` or `en` or `mix`. +6. `--test_metadata` should be the metadata file in the normalized subfolder of `test` in the `dump` folder. +7. `--text` is the text file, which contains sentences to synthesize. +8. `--output_dir` is the directory to save synthesized audio files. +9. `--ngpu` is the number of gpus to use, if ngpu == 0, use cpu. + + +## Pretrained Model +Pretrained FastSpeech2 model with no silence in the edge of audios: +- [fastspeech2_mix_ckpt_0.2.0.zip](https://paddlespeech.bj.bcebos.com/t2s/chinse_english_mixed/models/fastspeech2_mix_ckpt_0.2.0.zip) + +The static model can be downloaded here: +- [fastspeech2_mix_static_0.2.0.zip](https://paddlespeech.bj.bcebos.com/t2s/chinse_english_mixed/models/fastspeech2_mix_static_0.2.0.zip) + +The ONNX model can be downloaded here: +- [fastspeech2_mix_onnx_0.2.0.zip](https://paddlespeech.bj.bcebos.com/t2s/chinse_english_mixed/models/fastspeech2_mix_onnx_0.2.0.zip) + +FastSpeech2 checkpoint contains files listed below. + +```text +fastspeech2_mix_ckpt_0.2.0 +├── default.yaml # default config used to train fastspeech2 +├── phone_id_map.txt # phone vocabulary file when training fastspeech2 +├── snapshot_iter_99200.pdz # model parameters and optimizer states +├── speaker_id_map.txt # speaker id map file when training a multi-speaker fastspeech2 +└── speech_stats.npy # statistics used to normalize spectrogram when training fastspeech2 +``` + + +You can use the following scripts to synthesize for `${BIN_DIR}/../sentences_mix.txt` using pretrained fastspeech2 and parallel wavegan models. +174 means baker speaker, 175 means ljspeech speaker. For other speaker information, see `speaker_id_map.txt` + +```bash +source path.sh + +FLAGS_allocator_strategy=naive_best_fit \ +FLAGS_fraction_of_gpu_memory_to_use=0.01 \ +python3 ${BIN_DIR}/../synthesize_e2e.py \ + --am=fastspeech2_mix \ + --am_config=fastspeech2_mix_ckpt_0.2.0/default.yaml \ + --am_ckpt=fastspeech2_mix_ckpt_0.2.0/snapshot_iter_96400.pdz \ + --am_stat=fastspeech2_mix_ckpt_0.2.0/speech_stats.npy \ + --voc=pwgan_aishell3 \ + --voc_config=pwg_aishell3_ckpt_0.5/default.yaml \ + --voc_ckpt=pwg_aishell3_ckpt_0.5/snapshot_iter_1000000.pdz \ + --voc_stat=pwg_aishell3_ckpt_0.5/feats_stats.npy \ + --lang=mix \ + --text=${BIN_DIR}/../sentences_mix.txt \ + --output_dir=exp/default/test_e2e \ + --phones_dict=fastspeech2_mix_ckpt_0.2.0/phone_id_map.txt \ + --speaker_dict=fastspeech2_mix_ckpt_0.2.0/speaker_id_map.txt \ + --spk_id=174 \ + --inference_dir=exp/default/inference + ``` diff --git a/examples/zh_en_tts/tts3/conf/default.yaml b/examples/zh_en_tts/tts3/conf/default.yaml new file mode 100644 index 000000000..e65b5d0ec --- /dev/null +++ b/examples/zh_en_tts/tts3/conf/default.yaml @@ -0,0 +1,104 @@ +########################################################### +# FEATURE EXTRACTION SETTING # +########################################################### + +fs: 24000 # sr +n_fft: 2048 # FFT size (samples). +n_shift: 300 # Hop size (samples). 12.5ms +win_length: 1200 # Window length (samples). 50ms + # If set to null, it will be the same as fft_size. +window: "hann" # Window function. + +# Only used for feats_type != raw + +fmin: 80 # Minimum frequency of Mel basis. +fmax: 7600 # Maximum frequency of Mel basis. +n_mels: 80 # The number of mel basis. + +# Only used for the model using pitch features (e.g. FastSpeech2) +f0min: 80 # Minimum f0 for pitch extraction. +f0max: 400 # Maximum f0 for pitch extraction. + + +########################################################### +# DATA SETTING # +########################################################### +batch_size: 64 +num_workers: 2 + + +########################################################### +# MODEL SETTING # +########################################################### +model: + adim: 384 # attention dimension + aheads: 2 # number of attention heads + elayers: 4 # number of encoder layers + eunits: 1536 # number of encoder ff units + dlayers: 4 # number of decoder layers + dunits: 1536 # number of decoder ff units + positionwise_layer_type: conv1d # type of position-wise layer + positionwise_conv_kernel_size: 3 # kernel size of position wise conv layer + duration_predictor_layers: 2 # number of layers of duration predictor + duration_predictor_chans: 256 # number of channels of duration predictor + duration_predictor_kernel_size: 3 # filter size of duration predictor + postnet_layers: 5 # number of layers of postnset + postnet_filts: 5 # filter size of conv layers in postnet + postnet_chans: 256 # number of channels of conv layers in postnet + use_scaled_pos_enc: True # whether to use scaled positional encoding + encoder_normalize_before: True # whether to perform layer normalization before the input + decoder_normalize_before: True # whether to perform layer normalization before the input + reduction_factor: 1 # reduction factor + init_type: xavier_uniform # initialization type + init_enc_alpha: 1.0 # initial value of alpha of encoder scaled position encoding + init_dec_alpha: 1.0 # initial value of alpha of decoder scaled position encoding + transformer_enc_dropout_rate: 0.2 # dropout rate for transformer encoder layer + transformer_enc_positional_dropout_rate: 0.2 # dropout rate for transformer encoder positional encoding + transformer_enc_attn_dropout_rate: 0.2 # dropout rate for transformer encoder attention layer + transformer_dec_dropout_rate: 0.2 # dropout rate for transformer decoder layer + transformer_dec_positional_dropout_rate: 0.2 # dropout rate for transformer decoder positional encoding + transformer_dec_attn_dropout_rate: 0.2 # dropout rate for transformer decoder attention layer + pitch_predictor_layers: 5 # number of conv layers in pitch predictor + pitch_predictor_chans: 256 # number of channels of conv layers in pitch predictor + pitch_predictor_kernel_size: 5 # kernel size of conv leyers in pitch predictor + pitch_predictor_dropout: 0.5 # dropout rate in pitch predictor + pitch_embed_kernel_size: 1 # kernel size of conv embedding layer for pitch + pitch_embed_dropout: 0.0 # dropout rate after conv embedding layer for pitch + stop_gradient_from_pitch_predictor: True # whether to stop the gradient from pitch predictor to encoder + energy_predictor_layers: 2 # number of conv layers in energy predictor + energy_predictor_chans: 256 # number of channels of conv layers in energy predictor + energy_predictor_kernel_size: 3 # kernel size of conv leyers in energy predictor + energy_predictor_dropout: 0.5 # dropout rate in energy predictor + energy_embed_kernel_size: 1 # kernel size of conv embedding layer for energy + energy_embed_dropout: 0.0 # dropout rate after conv embedding layer for energy + stop_gradient_from_energy_predictor: False # whether to stop the gradient from energy predictor to encoder + spk_embed_dim: 256 # speaker embedding dimension + spk_embed_integration_type: concat # speaker embedding integration type + + + +########################################################### +# UPDATER SETTING # +########################################################### +updater: + use_masking: True # whether to apply masking for padded part in loss calculation + + +########################################################### +# OPTIMIZER SETTING # +########################################################### +optimizer: + optim: adam # optimizer type + learning_rate: 0.001 # learning rate + +########################################################### +# TRAINING SETTING # +########################################################### +max_epoch: 200 +num_snapshots: 5 + + +########################################################### +# OTHER SETTING # +########################################################### +seed: 10086 diff --git a/examples/zh_en_tts/tts3/local/inference.sh b/examples/zh_en_tts/tts3/local/inference.sh new file mode 100755 index 000000000..5d3bd09e0 --- /dev/null +++ b/examples/zh_en_tts/tts3/local/inference.sh @@ -0,0 +1,39 @@ +#!/bin/bash + +train_output_path=$1 + +stage=0 +stop_stage=0 + +# voc: pwgan_aishell3 +# the spk_id=174 means baker speaker, default +# the spk_id=175 means ljspeech speaker +if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then + python3 ${BIN_DIR}/../inference.py \ + --inference_dir=${train_output_path}/inference \ + --am=fastspeech2_mix \ + --voc=pwgan_aishell3 \ + --text=${BIN_DIR}/../sentences_mix.txt \ + --output_dir=${train_output_path}/pd_infer_out \ + --phones_dict=dump/phone_id_map.txt \ + --speaker_dict=dump/speaker_id_map.txt \ + --lang=mix \ + --spk_id=174 +fi + + +# voc: hifigan_aishell3 +# the spk_id=174 means baker speaker, default +# the spk_id=175 means ljspeech speaker +if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then + python3 ${BIN_DIR}/../inference.py \ + --inference_dir=${train_output_path}/inference \ + --am=fastspeech2_mix \ + --voc=hifigan_aishell3 \ + --text=${BIN_DIR}/../sentences_mix.txt \ + --output_dir=${train_output_path}/pd_infer_out \ + --phones_dict=dump/phone_id_map.txt \ + --speaker_dict=dump/speaker_id_map.txt \ + --lang=mix \ + --spk_id=174 +fi diff --git a/examples/zh_en_tts/tts3/local/ort_predict.sh b/examples/zh_en_tts/tts3/local/ort_predict.sh new file mode 100755 index 000000000..86dcd1154 --- /dev/null +++ b/examples/zh_en_tts/tts3/local/ort_predict.sh @@ -0,0 +1,43 @@ +train_output_path=$1 + +stage=0 +stop_stage=0 + +# e2e, synthesize from text +# voc: pwgan_aishell3 +# the spk_id=174 means baker speaker, default +# the spk_id=175 means ljspeech speaker +if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then + python3 ${BIN_DIR}/../ort_predict_e2e.py \ + --inference_dir=${train_output_path}/inference_onnx \ + --am=fastspeech2_mix \ + --voc=pwgan_aishell3 \ + --output_dir=${train_output_path}/onnx_infer_out_e2e \ + --text=${BIN_DIR}/../sentences_mix.txt \ + --phones_dict=dump/phone_id_map.txt \ + --device=cpu \ + --cpu_threads=4 \ + --lang=mix \ + --spk_id=174 + + +fi + + +# voc: hifigan_aishell3 +# the spk_id=174 means baker speaker, default +# the spk_id=175 means ljspeech speaker +if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then + python3 ${BIN_DIR}/../ort_predict_e2e.py \ + --inference_dir=${train_output_path}/inference_onnx \ + --am=fastspeech2_mix \ + --voc=hifigan_aishell3 \ + --output_dir=${train_output_path}/onnx_infer_out_e2e \ + --text=${BIN_DIR}/../sentences_mix.txt \ + --phones_dict=dump/phone_id_map.txt \ + --device=cpu \ + --cpu_threads=4 \ + --lang=mix \ + --spk_id=174 + +fi diff --git a/examples/zh_en_tts/tts3/local/paddle2onnx.sh b/examples/zh_en_tts/tts3/local/paddle2onnx.sh new file mode 120000 index 000000000..8d5dbef4c --- /dev/null +++ b/examples/zh_en_tts/tts3/local/paddle2onnx.sh @@ -0,0 +1 @@ +../../../csmsc/tts3/local/paddle2onnx.sh \ No newline at end of file diff --git a/examples/zh_en_tts/tts3/local/preprocess.sh b/examples/zh_en_tts/tts3/local/preprocess.sh new file mode 100755 index 000000000..a938f5243 --- /dev/null +++ b/examples/zh_en_tts/tts3/local/preprocess.sh @@ -0,0 +1,149 @@ +#!/bin/bash + +stage=0 +stop_stage=100 + +config_path=$1 +datasets_root_dir=$2 +mfa_root_dir=$3 + +# 1. get durations from MFA's result +if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then + echo "Generate durations_baker.txt from MFA results ..." + python3 ${MAIN_ROOT}/utils/gen_duration_from_textgrid.py \ + --inputdir=${mfa_root_dir}/baker_alignment_tone \ + --output durations_baker.txt \ + --config=${config_path} +fi + +if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then + echo "Generate durations_ljspeech.txt from MFA results ..." + python3 ${MAIN_ROOT}/utils/gen_duration_from_textgrid.py \ + --inputdir=${mfa_root_dir}/ljspeech_alignment \ + --output durations_ljspeech.txt \ + --config=${config_path} +fi + +if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then + echo "Generate durations_aishell3.txt from MFA results ..." + python3 ${MAIN_ROOT}/utils/gen_duration_from_textgrid.py \ + --inputdir=${mfa_root_dir}/aishell3_alignment_tone \ + --output durations_aishell3.txt \ + --config=${config_path} +fi + +if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then + echo "Generate durations_vctk.txt from MFA results ..." + python3 ${MAIN_ROOT}/utils/gen_duration_from_textgrid.py \ + --inputdir=${mfa_root_dir}/vctk_alignment \ + --output durations_vctk.txt \ + --config=${config_path} +fi + +if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then + # concat duration file + echo "concat durations_baker.txt, durations_ljspeech.txt, durations_aishell3.txt and durations_vctk.txt to durations.txt" + cat durations_baker.txt durations_ljspeech.txt durations_aishell3.txt durations_vctk.txt > durations.txt +fi + +# 2. extract features +if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then + echo "Extract baker features ..." + python3 ${BIN_DIR}/preprocess.py \ + --dataset=baker \ + --rootdir=${datasets_root_dir}/BZNSYP/ \ + --dumpdir=dump \ + --dur-file=durations.txt \ + --config=${config_path} \ + --num-cpu=20 \ + --cut-sil=True \ + --write_metadata_method=a +fi + +if [ ${stage} -le 6 ] && [ ${stop_stage} -ge 6 ]; then + echo "Extract ljspeech features ..." + python3 ${BIN_DIR}/preprocess.py \ + --dataset=ljspeech \ + --rootdir=${datasets_root_dir}/LJSpeech-1.1/ \ + --dumpdir=dump \ + --dur-file=durations.txt \ + --config=${config_path} \ + --num-cpu=20 \ + --cut-sil=True \ + --write_metadata_method=a +fi + +if [ ${stage} -le 7 ] && [ ${stop_stage} -ge 7 ]; then + echo "Extract aishell3 features ..." + python3 ${BIN_DIR}/preprocess.py \ + --dataset=aishell3 \ + --rootdir=${datasets_root_dir}/data_aishell3/ \ + --dumpdir=dump \ + --dur-file=durations.txt \ + --config=${config_path} \ + --num-cpu=20 \ + --cut-sil=True \ + --write_metadata_method=a +fi + +if [ ${stage} -le 8 ] && [ ${stop_stage} -ge 8 ]; then + echo "Extract vctk features ..." + python3 ${BIN_DIR}/preprocess.py \ + --dataset=vctk \ + --rootdir=${datasets_root_dir}/VCTK-Corpus-0.92/ \ + --dumpdir=dump \ + --dur-file=durations.txt \ + --config=${config_path} \ + --num-cpu=20 \ + --cut-sil=True \ + --write_metadata_method=a +fi + + +# 3. get features' stats(mean and std) +if [ ${stage} -le 9 ] && [ ${stop_stage} -ge 9 ]; then + echo "Get features' stats ..." + python3 ${MAIN_ROOT}/utils/compute_statistics.py \ + --metadata=dump/train/raw/metadata.jsonl \ + --field-name="speech" + + python3 ${MAIN_ROOT}/utils/compute_statistics.py \ + --metadata=dump/train/raw/metadata.jsonl \ + --field-name="pitch" + + python3 ${MAIN_ROOT}/utils/compute_statistics.py \ + --metadata=dump/train/raw/metadata.jsonl \ + --field-name="energy" +fi + + +# 4. normalize and covert phone/speaker to id, dev and test should use train's stats +if [ ${stage} -le 10 ] && [ ${stop_stage} -ge 10 ]; then + echo "Normalize ..." + python3 ${BIN_DIR}/normalize.py \ + --metadata=dump/train/raw/metadata.jsonl \ + --dumpdir=dump/train/norm \ + --speech-stats=dump/train/speech_stats.npy \ + --pitch-stats=dump/train/pitch_stats.npy \ + --energy-stats=dump/train/energy_stats.npy \ + --phones-dict=dump/phone_id_map.txt \ + --speaker-dict=dump/speaker_id_map.txt + + python3 ${BIN_DIR}/normalize.py \ + --metadata=dump/dev/raw/metadata.jsonl \ + --dumpdir=dump/dev/norm \ + --speech-stats=dump/train/speech_stats.npy \ + --pitch-stats=dump/train/pitch_stats.npy \ + --energy-stats=dump/train/energy_stats.npy \ + --phones-dict=dump/phone_id_map.txt \ + --speaker-dict=dump/speaker_id_map.txt + + python3 ${BIN_DIR}/normalize.py \ + --metadata=dump/test/raw/metadata.jsonl \ + --dumpdir=dump/test/norm \ + --speech-stats=dump/train/speech_stats.npy \ + --pitch-stats=dump/train/pitch_stats.npy \ + --energy-stats=dump/train/energy_stats.npy \ + --phones-dict=dump/phone_id_map.txt \ + --speaker-dict=dump/speaker_id_map.txt +fi diff --git a/examples/zh_en_tts/tts3/local/synthesize.sh b/examples/zh_en_tts/tts3/local/synthesize.sh new file mode 100755 index 000000000..f3a0bf150 --- /dev/null +++ b/examples/zh_en_tts/tts3/local/synthesize.sh @@ -0,0 +1,50 @@ +#!/bin/bash + +config_path=$1 +train_output_path=$2 +ckpt_name=$3 + +stage=0 +stop_stage=0 + +# voc: pwgan_aishell3 +if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then + FLAGS_allocator_strategy=naive_best_fit \ + FLAGS_fraction_of_gpu_memory_to_use=0.01 \ + python3 ${BIN_DIR}/../synthesize.py \ + --am=fastspeech2_mix \ + --am_config=${config_path} \ + --am_ckpt=${train_output_path}/checkpoints/${ckpt_name} \ + --am_stat=dump/train/speech_stats.npy \ + --voc=pwgan_aishell3 \ + --voc_config=pwg_aishell3_ckpt_0.5/default.yaml \ + --voc_ckpt=pwg_aishell3_ckpt_0.5/snapshot_iter_1000000.pdz \ + --voc_stat=pwg_aishell3_ckpt_0.5/feats_stats.npy \ + --test_metadata=dump/test/norm/metadata2.jsonl \ + --output_dir=${train_output_path}/test \ + --phones_dict=dump/phone_id_map.txt \ + --speaker_dict=dump/speaker_id_map.txt +fi + + +# voc: hifigan_aishell3 +if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then + FLAGS_allocator_strategy=naive_best_fit \ + FLAGS_fraction_of_gpu_memory_to_use=0.01 \ + python3 ${BIN_DIR}/../synthesize.py \ + --am=fastspeech2_mix \ + --am_config=${config_path} \ + --am_ckpt=${train_output_path}/checkpoints/${ckpt_name} \ + --am_stat=dump/train/speech_stats.npy \ + --voc=hifigan_aishell3 \ + --voc_config=hifigan_aishell3_ckpt_0.2.0/default.yaml \ + --voc_ckpt=hifigan_aishell3_ckpt_0.2.0/snapshot_iter_2500000.pdz \ + --voc_stat=hifigan_aishell3_ckpt_0.2.0/feats_stats.npy \ + --test_metadata=dump/test/norm/metadata.jsonl \ + --output_dir=${train_output_path}/test \ + --phones_dict=dump/phone_id_map.txt \ + --speaker_dict=dump/speaker_id_map.txt +fi + + + diff --git a/examples/zh_en_tts/tts3/local/synthesize_e2e.sh b/examples/zh_en_tts/tts3/local/synthesize_e2e.sh index a206c3a84..ae14e3cc8 100755 --- a/examples/zh_en_tts/tts3/local/synthesize_e2e.sh +++ b/examples/zh_en_tts/tts3/local/synthesize_e2e.sh @@ -1,31 +1,57 @@ #!/bin/bash -model_dir=$1 -output=$2 -am_name=fastspeech2_csmscljspeech_add-zhen -am_model_dir=${model_dir}/${am_name}/ +config_path=$1 +train_output_path=$2 +ckpt_name=$3 -stage=1 -stop_stage=1 +stage=0 +stop_stage=0 +# voc: pwgan_aishell3 +# the spk_id=174 means baker speaker, default. +# the spk_id=175 means ljspeech speaker +if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then + FLAGS_allocator_strategy=naive_best_fit \ + FLAGS_fraction_of_gpu_memory_to_use=0.01 \ + python3 ${BIN_DIR}/../synthesize_e2e.py \ + --am=fastspeech2_mix \ + --am_config=${config_path} \ + --am_ckpt=${train_output_path}/checkpoints/${ckpt_name} \ + --am_stat=dump/train/speech_stats.npy \ + --voc=pwgan_aishell3 \ + --voc_config=pwg_aishell3_ckpt_0.5/default.yaml \ + --voc_ckpt=pwg_aishell3_ckpt_0.5/snapshot_iter_1000000.pdz \ + --voc_stat=pwg_aishell3_ckpt_0.5/feats_stats.npy \ + --lang=mix \ + --text=${BIN_DIR}/../sentences_mix.txt \ + --output_dir=${train_output_path}/test_e2e \ + --phones_dict=dump/phone_id_map.txt \ + --speaker_dict=dump/speaker_id_map.txt \ + --spk_id=174 \ + --inference_dir=${train_output_path}/inference +fi -# hifigan +# voc: hifigan_aishell3 +# the spk_id=174 means baker speaker, default +# the spk_id=175 means ljspeech speaker if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then + echo "in hifigan syn_e2e" FLAGS_allocator_strategy=naive_best_fit \ FLAGS_fraction_of_gpu_memory_to_use=0.01 \ python3 ${BIN_DIR}/../synthesize_e2e.py \ --am=fastspeech2_mix \ - --am_config=${am_model_dir}/default.yaml \ - --am_ckpt=${am_model_dir}/snapshot_iter_94000.pdz \ - --am_stat=${am_model_dir}/speech_stats.npy \ - --voc=hifigan_ljspeech \ - --voc_config=${model_dir}/hifigan_ljspeech_ckpt_0.2.0/default.yaml \ - --voc_ckpt=${model_dir}/hifigan_ljspeech_ckpt_0.2.0/snapshot_iter_2500000.pdz \ - --voc_stat=${model_dir}/hifigan_ljspeech_ckpt_0.2.0/feats_stats.npy \ + --am_config=${config_path} \ + --am_ckpt=${train_output_path}/checkpoints/${ckpt_name} \ + --am_stat=dump/train/speech_stats.npy \ + --voc=hifigan_aishell3 \ + --voc_config=hifigan_aishell3_ckpt_0.2.0/default.yaml \ + --voc_ckpt=hifigan_aishell3_ckpt_0.2.0/snapshot_iter_2500000.pdz \ + --voc_stat=hifigan_aishell3_ckpt_0.2.0/feats_stats.npy \ --lang=mix \ --text=${BIN_DIR}/../sentences_mix.txt \ - --output_dir=${output}/test_e2e \ - --phones_dict=${am_model_dir}/phone_id_map.txt \ - --speaker_dict=${am_model_dir}/speaker_id_map.txt \ - --spk_id 0 -fi + --output_dir=${train_output_path}/test_e2e \ + --phones_dict=dump/phone_id_map.txt \ + --speaker_dict=dump/speaker_id_map.txt \ + --spk_id=174 \ + --inference_dir=${train_output_path}/inference + fi diff --git a/examples/zh_en_tts/tts3/local/train.sh b/examples/zh_en_tts/tts3/local/train.sh new file mode 100755 index 000000000..1da72f117 --- /dev/null +++ b/examples/zh_en_tts/tts3/local/train.sh @@ -0,0 +1,13 @@ +#!/bin/bash + +config_path=$1 +train_output_path=$2 + +python3 ${BIN_DIR}/train.py \ + --train-metadata=dump/train/norm/metadata.jsonl \ + --dev-metadata=dump/dev/norm/metadata.jsonl \ + --config=${config_path} \ + --output-dir=${train_output_path} \ + --ngpu=2 \ + --phones-dict=dump/phone_id_map.txt \ + --speaker-dict=dump/speaker_id_map.txt diff --git a/examples/zh_en_tts/tts3/run.sh b/examples/zh_en_tts/tts3/run.sh new file mode 100755 index 000000000..0a6a49721 --- /dev/null +++ b/examples/zh_en_tts/tts3/run.sh @@ -0,0 +1,63 @@ +#!/bin/bash + +set -e +source path.sh + +gpus=0,1 +stage=0 +stop_stage=0 + +datasets_root_dir=./datasets/ +mfa_root_dir=./mfa_results/ +conf_path=conf/default.yaml +train_output_path=exp/default +ckpt_name=snapshot_iter_99200.pdz + + +# with the following command, you can choose the stage range you want to run +# such as `./run.sh --stage 0 --stop-stage 0` +# this can not be mixed use with `$1`, `$2` ... +source ${MAIN_ROOT}/utils/parse_options.sh || exit 1 + +if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then + # prepare data + ./local/preprocess.sh ${conf_path} ${datasets_root_dir} ${mfa_root_dir} || exit -1 +fi + +if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then + # train model, all `ckpt` under `train_output_path/checkpoints/` dir + CUDA_VISIBLE_DEVICES=${gpus} ./local/train.sh ${conf_path} ${train_output_path} || exit -1 +fi + +if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then + # synthesize, vocoder is pwgan by default + CUDA_VISIBLE_DEVICES=${gpus} ./local/synthesize.sh ${conf_path} ${train_output_path} ${ckpt_name} || exit -1 +fi + +if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then + # synthesize_e2e, vocoder is pwgan by default + CUDA_VISIBLE_DEVICES=${gpus} ./local/synthesize_e2e.sh ${conf_path} ${train_output_path} ${ckpt_name} || exit -1 +fi + +if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then + # inference with static model, vocoder is pwgan by default + CUDA_VISIBLE_DEVICES=${gpus} ./local/inference.sh ${train_output_path} || exit -1 +fi + +if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then + # install paddle2onnx + version=$(echo `pip list |grep "paddle2onnx"` |awk -F" " '{print $2}') + if [[ -z "$version" || ${version} != '0.9.8' ]]; then + pip install paddle2onnx==0.9.8 + fi + ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx fastspeech2_mix + # considering the balance between speed and quality, we recommend that you use hifigan as vocoder + ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx pwgan_aishell3 + #./local/paddle2onnx.sh ${train_output_path} inference inference_onnx hifigan_aishell3 + +fi + +# inference with onnxruntime, use fastspeech2 + hifigan by default +if [ ${stage} -le 6 ] && [ ${stop_stage} -ge 6 ]; then + ./local/ort_predict.sh ${train_output_path} +fi diff --git a/examples/zh_en_tts/tts3/test.sh b/examples/zh_en_tts/tts3/test.sh deleted file mode 100755 index ff34da14a..000000000 --- a/examples/zh_en_tts/tts3/test.sh +++ /dev/null @@ -1,23 +0,0 @@ -#!/bin/bash - -set -e -source path.sh - -gpus=0,1 -stage=3 -stop_stage=100 - -model_dir=models -output_dir=output - -# with the following command, you can choose the stage range you want to run -# such as `./run.sh --stage 0 --stop-stage 0` -# this can not be mixed use with `$1`, `$2` ... -source ${MAIN_ROOT}/utils/parse_options.sh || exit 1 - - -if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then - # synthesize_e2e, vocoder is hifigan by default - CUDA_VISIBLE_DEVICES=${gpus} ./local/synthesize_e2e.sh ${model_dir} ${output_dir} || exit -1 -fi - diff --git a/paddlespeech/t2s/exps/fastspeech2/preprocess.py b/paddlespeech/t2s/exps/fastspeech2/preprocess.py index 0045c5a33..c06492c69 100644 --- a/paddlespeech/t2s/exps/fastspeech2/preprocess.py +++ b/paddlespeech/t2s/exps/fastspeech2/preprocess.py @@ -144,7 +144,8 @@ def process_sentences(config, energy_extractor=None, nprocs: int=1, cut_sil: bool=True, - spk_emb_dir: Path=None): + spk_emb_dir: Path=None, + write_metadata_method: str='w'): if nprocs == 1: results = [] for fp in tqdm.tqdm(fps, total=len(fps)): @@ -179,7 +180,10 @@ def process_sentences(config, results.append(record) results.sort(key=itemgetter("utt_id")) - with jsonlines.open(output_dir / "metadata.jsonl", 'w') as writer: + print("wwwwwwwwwwwwwwwwwwwwwwwwwwwrite_metadata_method: ", + write_metadata_method) + with jsonlines.open(output_dir / "metadata.jsonl", + write_metadata_method) as writer: for item in results: writer.write(item) print("Done") @@ -223,6 +227,13 @@ def main(): default=None, type=str, help="directory to speaker embedding files.") + + parser.add_argument( + "--write_metadata_method", + default="w", + type=str, + choices=["w", "a"], + help="How the metadata.jsonl file is written.") args = parser.parse_args() rootdir = Path(args.rootdir).expanduser() @@ -340,7 +351,8 @@ def main(): energy_extractor=energy_extractor, nprocs=args.num_cpu, cut_sil=args.cut_sil, - spk_emb_dir=spk_emb_dir) + spk_emb_dir=spk_emb_dir, + write_metadata_method=args.write_metadata_method) if dev_wav_files: process_sentences( config=config, @@ -351,7 +363,8 @@ def main(): pitch_extractor=pitch_extractor, energy_extractor=energy_extractor, cut_sil=args.cut_sil, - spk_emb_dir=spk_emb_dir) + spk_emb_dir=spk_emb_dir, + write_metadata_method=args.write_metadata_method) if test_wav_files: process_sentences( config=config, @@ -363,7 +376,8 @@ def main(): energy_extractor=energy_extractor, nprocs=args.num_cpu, cut_sil=args.cut_sil, - spk_emb_dir=spk_emb_dir) + spk_emb_dir=spk_emb_dir, + write_metadata_method=args.write_metadata_method) if __name__ == "__main__": diff --git a/paddlespeech/t2s/exps/inference.py b/paddlespeech/t2s/exps/inference.py index ba951182d..25c65c23c 100644 --- a/paddlespeech/t2s/exps/inference.py +++ b/paddlespeech/t2s/exps/inference.py @@ -41,6 +41,7 @@ def parse_args(): 'fastspeech2_ljspeech', 'fastspeech2_vctk', 'tacotron2_csmsc', + 'fastspeech2_mix', ], help='Choose acoustic model type of tts task.') parser.add_argument( @@ -77,7 +78,7 @@ def parse_args(): '--lang', type=str, default='zh', - help='Choose model language. zh or en') + help='Choose model language. zh or en or mix') parser.add_argument( "--text", type=str, @@ -156,7 +157,8 @@ def main(): frontend=frontend, lang=args.lang, merge_sentences=merge_sentences, - speaker_dict=args.speaker_dict, ) + speaker_dict=args.speaker_dict, + spk_id=args.spk_id, ) wav = get_voc_output( voc_predictor=voc_predictor, input=am_output_data) speed = wav.size / t.elapse @@ -178,7 +180,8 @@ def main(): frontend=frontend, lang=args.lang, merge_sentences=merge_sentences, - speaker_dict=args.speaker_dict, ) + speaker_dict=args.speaker_dict, + spk_id=args.spk_id, ) wav = get_voc_output( voc_predictor=voc_predictor, input=am_output_data) diff --git a/paddlespeech/t2s/exps/ort_predict_e2e.py b/paddlespeech/t2s/exps/ort_predict_e2e.py index f33fc4128..ee0704b8a 100644 --- a/paddlespeech/t2s/exps/ort_predict_e2e.py +++ b/paddlespeech/t2s/exps/ort_predict_e2e.py @@ -76,7 +76,7 @@ def ort_predict(args): else: phone_ids = np.random.randint(1, 266, size=(T, )) am_input_feed.update({'text': phone_ids}) - if am_dataset in {"aishell3", "vctk"}: + if am_dataset in {"aishell3", "vctk", "mix"}: am_input_feed.update({'spk_id': spk_id}) elif am_name == 'speedyspeech': @@ -112,13 +112,17 @@ def ort_predict(args): input_ids = frontend.get_input_ids( sentence, merge_sentences=merge_sentences) phone_ids = input_ids["phone_ids"] + elif args.lang == 'mix': + input_ids = frontend.get_input_ids( + sentence, merge_sentences=merge_sentences) + phone_ids = input_ids["phone_ids"] else: - print("lang should in {'zh', 'en'}!") + print("lang should in {'zh', 'en', 'mix'}!") # merge_sentences=True here, so we only use the first item of phone_ids phone_ids = phone_ids[0].numpy() if am_name == 'fastspeech2': am_input_feed.update({'text': phone_ids}) - if am_dataset in {"aishell3", "vctk"}: + if am_dataset in {"aishell3", "vctk", "mix"}: am_input_feed.update({'spk_id': spk_id}) elif am_name == 'speedyspeech': tone_ids = tone_ids[0].numpy() @@ -154,6 +158,7 @@ def parse_args(): 'fastspeech2_ljspeech', 'fastspeech2_vctk', 'speedyspeech_csmsc', + 'fastspeech2_mix', ], help='Choose acoustic model type of tts task.') parser.add_argument( diff --git a/paddlespeech/t2s/exps/syn_utils.py b/paddlespeech/t2s/exps/syn_utils.py index bade62aca..7380d57e7 100644 --- a/paddlespeech/t2s/exps/syn_utils.py +++ b/paddlespeech/t2s/exps/syn_utils.py @@ -273,7 +273,8 @@ def am_to_static(am_inference, am_name = am[:am.rindex('_')] am_dataset = am[am.rindex('_') + 1:] if am_name == 'fastspeech2': - if am_dataset in {"aishell3", "vctk"} and speaker_dict is not None: + if am_dataset in {"aishell3", "vctk", "mix" + } and speaker_dict is not None: am_inference = jit.to_static( am_inference, input_spec=[ @@ -285,7 +286,8 @@ def am_to_static(am_inference, am_inference, input_spec=[InputSpec([-1], dtype=paddle.int64)]) elif am_name == 'speedyspeech': - if am_dataset in {"aishell3", "vctk"} and speaker_dict is not None: + if am_dataset in {"aishell3", "vctk", "mix" + } and speaker_dict is not None: am_inference = jit.to_static( am_inference, input_spec=[ @@ -356,7 +358,7 @@ def get_am_output( get_spk_id = False if am_name == 'speedyspeech': get_tone_ids = True - if am_dataset in {"aishell3", "vctk"} and speaker_dict: + if am_dataset in {"aishell3", "vctk", "mix"} and speaker_dict: get_spk_id = True spk_id = np.array([spk_id]) if lang == 'zh': diff --git a/paddlespeech/t2s/exps/synthesize.py b/paddlespeech/t2s/exps/synthesize.py index 9ddab726e..a8e18150e 100644 --- a/paddlespeech/t2s/exps/synthesize.py +++ b/paddlespeech/t2s/exps/synthesize.py @@ -136,7 +136,7 @@ def parse_args(): choices=[ 'speedyspeech_csmsc', 'fastspeech2_csmsc', 'fastspeech2_ljspeech', 'fastspeech2_aishell3', 'fastspeech2_vctk', 'tacotron2_csmsc', - 'tacotron2_ljspeech', 'tacotron2_aishell3' + 'tacotron2_ljspeech', 'tacotron2_aishell3', 'fastspeech2_mix' ], help='Choose acoustic model type of tts task.') parser.add_argument( diff --git a/paddlespeech/t2s/exps/synthesize_e2e.py b/paddlespeech/t2s/exps/synthesize_e2e.py index ef9543296..ce32a6ac4 100644 --- a/paddlespeech/t2s/exps/synthesize_e2e.py +++ b/paddlespeech/t2s/exps/synthesize_e2e.py @@ -133,7 +133,7 @@ def evaluate(args): mel = am_inference(part_phone_ids) elif am_name == 'speedyspeech': part_tone_ids = tone_ids[i] - if am_dataset in {"aishell3", "vctk"}: + if am_dataset in {"aishell3", "vctk", "mix"}: spk_id = paddle.to_tensor(args.spk_id) mel = am_inference(part_phone_ids, part_tone_ids, spk_id) From aecf8fd3844371abcce5d337fab83aae6807285b Mon Sep 17 00:00:00 2001 From: BarryKCL Date: Tue, 9 Aug 2022 20:52:18 +0800 Subject: [PATCH 177/192] add onnxruntime sess_options --- paddlespeech/t2s/frontend/g2pw/onnx_api.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/paddlespeech/t2s/frontend/g2pw/onnx_api.py b/paddlespeech/t2s/frontend/g2pw/onnx_api.py index 9628fa635..188d97372 100644 --- a/paddlespeech/t2s/frontend/g2pw/onnx_api.py +++ b/paddlespeech/t2s/frontend/g2pw/onnx_api.py @@ -46,8 +46,10 @@ class G2PWOnnxConverter: uncompress_path = download_and_decompress(g2pw_onnx_models['G2PWModel']['1.0'],model_dir) sess_options = onnxruntime.SessionOptions() + sess_options.graph_optimization_level = onnxruntime.GraphOptimizationLevel.ORT_ENABLE_ALL + sess_options.execution_mode = onnxruntime.ExecutionMode.ORT_SEQUENTIAL sess_options.intra_op_num_threads = 2 - self.session_g2pW = onnxruntime.InferenceSession(os.path.join(model_dir, 'G2PWModel/g2pW.onnx')) + self.session_g2pW = onnxruntime.InferenceSession(os.path.join(model_dir, 'G2PWModel/g2pW.onnx'),sess_options=sess_options) self.config = load_config(os.path.join(model_dir, 'G2PWModel/config.py'), use_default=True) self.model_source = model_source if model_source else self.config.model_source From a48e4f249fb22f15f91e93f53b79b4a83848387e Mon Sep 17 00:00:00 2001 From: "david.95" Date: Wed, 10 Aug 2022 08:53:53 +0800 Subject: [PATCH 178/192] add filter for double punctuation, revise comment ; add homonym, fix mistakes --- paddlespeech/t2s/frontend/phonectic.py | 2 +- paddlespeech/t2s/frontend/zh_frontend.py | 3 +-- 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/paddlespeech/t2s/frontend/phonectic.py b/paddlespeech/t2s/frontend/phonectic.py index ff8c149af..a9d04f3e7 100644 --- a/paddlespeech/t2s/frontend/phonectic.py +++ b/paddlespeech/t2s/frontend/phonectic.py @@ -100,7 +100,7 @@ class English(Phonetics): for phn in phones ] # when sentences have double punctuations in the end, like "!\"",or "?\"", will get null list like [] - # add judge to filter it + # add a condition to filter it if len(phones) != 0: # replace unk phone with sp phones_list.append(phones) diff --git a/paddlespeech/t2s/frontend/zh_frontend.py b/paddlespeech/t2s/frontend/zh_frontend.py index 06e7dca26..bf5530976 100644 --- a/paddlespeech/t2s/frontend/zh_frontend.py +++ b/paddlespeech/t2s/frontend/zh_frontend.py @@ -94,12 +94,11 @@ class Frontend(): large_pinyin.load() load_phrases_dict({u'开户行': [[u'ka1i'], [u'hu4'], [u'hang2']]}) - load_phrases_dict({u'俩个':[[u'lia3ng'],[u'ge4']]}) load_phrases_dict({u'发卡行': [[u'fa4'], [u'ka3'], [u'hang2']]}) load_phrases_dict({u'放款行': [[u'fa4ng'], [u'kua3n'], [u'hang2']]}) load_phrases_dict({u'茧行': [[u'jia3n'], [u'hang2']]}) load_phrases_dict({u'行号': [[u'hang2'], [u'ha4o']]}) - load_phrases_dict({u'行政': [[u'xing2'], [u'zhen4g']]}) + load_phrases_dict({u'行政': [[u'xing2'], [u'zheng4']]}) load_phrases_dict({u'各地': [[u'ge4'], [u'di4']]}) load_phrases_dict({u'借还款': [[u'jie4'], [u'hua2n'], [u'kua3n']]}) load_phrases_dict({u'时间为': [[u'shi2'], [u'jia1n'], [u'we2i']]}) From f52a87b8d0af7a9ad3a0a8f93e0e4082ec868295 Mon Sep 17 00:00:00 2001 From: "david.95" Date: Wed, 10 Aug 2022 10:20:32 +0800 Subject: [PATCH 179/192] remove useless fix, test=tts --- paddlespeech/t2s/frontend/zh_frontend.py | 1 - 1 file changed, 1 deletion(-) diff --git a/paddlespeech/t2s/frontend/zh_frontend.py b/paddlespeech/t2s/frontend/zh_frontend.py index bf5530976..143ccbc15 100644 --- a/paddlespeech/t2s/frontend/zh_frontend.py +++ b/paddlespeech/t2s/frontend/zh_frontend.py @@ -98,7 +98,6 @@ class Frontend(): load_phrases_dict({u'放款行': [[u'fa4ng'], [u'kua3n'], [u'hang2']]}) load_phrases_dict({u'茧行': [[u'jia3n'], [u'hang2']]}) load_phrases_dict({u'行号': [[u'hang2'], [u'ha4o']]}) - load_phrases_dict({u'行政': [[u'xing2'], [u'zheng4']]}) load_phrases_dict({u'各地': [[u'ge4'], [u'di4']]}) load_phrases_dict({u'借还款': [[u'jie4'], [u'hua2n'], [u'kua3n']]}) load_phrases_dict({u'时间为': [[u'shi2'], [u'jia1n'], [u'we2i']]}) From 7ba74f175fba5e27d4b5a2c86bd2cc439a1f58ed Mon Sep 17 00:00:00 2001 From: "david.95" Date: Wed, 10 Aug 2022 10:35:16 +0800 Subject: [PATCH 180/192] remove comment --- paddlespeech/t2s/frontend/phonectic.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/paddlespeech/t2s/frontend/phonectic.py b/paddlespeech/t2s/frontend/phonectic.py index a9d04f3e7..b55c5b5c2 100644 --- a/paddlespeech/t2s/frontend/phonectic.py +++ b/paddlespeech/t2s/frontend/phonectic.py @@ -99,8 +99,6 @@ class English(Phonetics): if (phn in self.vocab_phones and phn not in self.punc) else "sp" for phn in phones ] - # when sentences have double punctuations in the end, like "!\"",or "?\"", will get null list like [] - # add a condition to filter it if len(phones) != 0: # replace unk phone with sp phones_list.append(phones) From 0df7fc8fbf8ab0829661f96cacddf9c72ce43c39 Mon Sep 17 00:00:00 2001 From: "david.95" Date: Wed, 10 Aug 2022 10:40:56 +0800 Subject: [PATCH 181/192] remove comment --- paddlespeech/t2s/frontend/phonectic.py | 1 - 1 file changed, 1 deletion(-) diff --git a/paddlespeech/t2s/frontend/phonectic.py b/paddlespeech/t2s/frontend/phonectic.py index b55c5b5c2..7ec821ed5 100644 --- a/paddlespeech/t2s/frontend/phonectic.py +++ b/paddlespeech/t2s/frontend/phonectic.py @@ -100,7 +100,6 @@ class English(Phonetics): for phn in phones ] if len(phones) != 0: - # replace unk phone with sp phones_list.append(phones) if merge_sentences: From 092687d3f7b566255e19ff058230c48bcf994b0a Mon Sep 17 00:00:00 2001 From: TianYuan Date: Wed, 10 Aug 2022 17:39:05 +0800 Subject: [PATCH 182/192] Update setup.py --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index c1be724fb..56d9e19e8 100644 --- a/setup.py +++ b/setup.py @@ -48,7 +48,7 @@ base = [ "pandas", "paddlenlp", "paddlespeech_feat", - "Pillow>=9.0.0" + "Pillow>=9.0.0", "praatio==5.0.0", "protobuf>=3.1.0, <=3.20.0", "pypinyin", From 5e63ac1e608d2e65bca08d71c49f13106fe9fa53 Mon Sep 17 00:00:00 2001 From: BarryKCL Date: Wed, 10 Aug 2022 18:58:36 +0800 Subject: [PATCH 183/192] Fix a bug in g2pW --- docs/source/reference.md | 3 +++ paddlespeech/t2s/frontend/g2pw/onnx_api.py | 3 +++ 2 files changed, 6 insertions(+) diff --git a/docs/source/reference.md b/docs/source/reference.md index ed91c2066..0d36d96f7 100644 --- a/docs/source/reference.md +++ b/docs/source/reference.md @@ -40,3 +40,6 @@ We borrowed a lot of code from these repos to build `model` and `engine`, thanks * [ThreadPool](https://github.com/progschj/ThreadPool/blob/master/COPYING) - zlib License - ThreadPool + +* [g2pW](https://github.com/GitYCC/g2pW/blob/master/LICENCE) +- Apache-2.0 license diff --git a/paddlespeech/t2s/frontend/g2pw/onnx_api.py b/paddlespeech/t2s/frontend/g2pw/onnx_api.py index 188d97372..abd3a159a 100644 --- a/paddlespeech/t2s/frontend/g2pw/onnx_api.py +++ b/paddlespeech/t2s/frontend/g2pw/onnx_api.py @@ -102,6 +102,9 @@ class G2PWOnnxConverter: sentences = translated_sentences texts, query_ids, sent_ids, partial_results = self._prepare_data(sentences) + if len(texts) == 0: + # sentences no polyphonic words + return partial_results onnx_input = prepare_onnx_input(self.tokenizer, self.labels, self.char2phonemes, self.chars, texts, query_ids, use_mask=self.config.use_mask, use_char_phoneme=self.config.use_char_phoneme, From 6593c249682ff1804ffabe428692daf12314cde9 Mon Sep 17 00:00:00 2001 From: BarryKCL Date: Thu, 11 Aug 2022 11:24:24 +0800 Subject: [PATCH 184/192] set window_size None --- paddlespeech/t2s/frontend/g2pw/onnx_api.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paddlespeech/t2s/frontend/g2pw/onnx_api.py b/paddlespeech/t2s/frontend/g2pw/onnx_api.py index abd3a159a..8d485628c 100644 --- a/paddlespeech/t2s/frontend/g2pw/onnx_api.py +++ b/paddlespeech/t2s/frontend/g2pw/onnx_api.py @@ -108,7 +108,7 @@ class G2PWOnnxConverter: onnx_input = prepare_onnx_input(self.tokenizer, self.labels, self.char2phonemes, self.chars, texts, query_ids, use_mask=self.config.use_mask, use_char_phoneme=self.config.use_char_phoneme, - window_size=self.config.window_size) + window_size=None) preds, confidences = predict(self.session_g2pW, onnx_input, self.labels) if self.config.use_char_phoneme: From d02e04d5321d194bec2eabe03e33a3a4eb0ec5ed Mon Sep 17 00:00:00 2001 From: Zhao Yuting <91456992+THUzyt21@users.noreply.github.com> Date: Fri, 12 Aug 2022 11:20:52 +0800 Subject: [PATCH 185/192] Update audio_handler.py --- paddlespeech/server/utils/audio_handler.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/paddlespeech/server/utils/audio_handler.py b/paddlespeech/server/utils/audio_handler.py index add04156d..4df651337 100644 --- a/paddlespeech/server/utils/audio_handler.py +++ b/paddlespeech/server/utils/audio_handler.py @@ -167,11 +167,11 @@ class ASRWsAudioHandler: await ws.send(chunk_data.tobytes()) msg = await ws.recv() msg = json.loads(msg) - - if self.punc_server and len(msg["result"]) > 0: - msg["result"] = self.punc_server.run(msg["result"]) logger.info("client receive msg={}".format(msg)) - + #client start to punctuation restore + if self.punc_server and len(msg['result']) > 0: + msg["result"] = self.punc_server.run(msg["result"]) + logger.info("client punctuation restored msg={}".format(msg)) # 4. we must send finished signal to the server audio_info = json.dumps( { From a84b40ef79b28ed0d885083cc1b72cea5dfc6805 Mon Sep 17 00:00:00 2001 From: BarryKCL Date: Fri, 12 Aug 2022 12:18:42 +0800 Subject: [PATCH 186/192] update g2pW dict --- paddlespeech/resource/pretrained_models.py | 2 +- paddlespeech/t2s/frontend/g2pw/onnx_api.py | 6 ++++-- paddlespeech/t2s/frontend/polyphonic.yaml | 23 +++++++++++++++++++++- 3 files changed, 27 insertions(+), 4 deletions(-) diff --git a/paddlespeech/resource/pretrained_models.py b/paddlespeech/resource/pretrained_models.py index e844cda3f..e39f7721a 100644 --- a/paddlespeech/resource/pretrained_models.py +++ b/paddlespeech/resource/pretrained_models.py @@ -1345,7 +1345,7 @@ g2pw_onnx_models = { 'url': 'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/g2p/G2PWModel.tar', 'md5': - '86a3dd8db0291c575c46e134111dce23', + '63bc0894af15a5a591e58b2130a2bcac', }, }, } diff --git a/paddlespeech/t2s/frontend/g2pw/onnx_api.py b/paddlespeech/t2s/frontend/g2pw/onnx_api.py index 8d485628c..ace943f2b 100644 --- a/paddlespeech/t2s/frontend/g2pw/onnx_api.py +++ b/paddlespeech/t2s/frontend/g2pw/onnx_api.py @@ -8,7 +8,7 @@ import onnxruntime import numpy as np from opencc import OpenCC - +from pypinyin import pinyin, lazy_pinyin, Style from paddlenlp.transformers import BertTokenizer from paddlespeech.utils.env import MODEL_HOME from paddlespeech.t2s.frontend.g2pw.dataset import prepare_data,\ @@ -127,6 +127,7 @@ class G2PWOnnxConverter: } texts, query_ids, sent_ids, partial_results = [], [], [], [] for sent_id, sent in enumerate(sentences): + pypinyin_result = pinyin(sent,style=Style.TONE3) partial_result = [None] * len(sent) for i, char in enumerate(sent): if char in polyphonic_chars: @@ -136,6 +137,7 @@ class G2PWOnnxConverter: elif char in monophonic_chars_dict: partial_result[i] = self.style_convert_func(monophonic_chars_dict[char]) elif char in self.char_bopomofo_dict: - partial_result[i] = self.style_convert_func(self.char_bopomofo_dict[char][0]) + partial_result[i] = pypinyin_result[i][0] + # partial_result[i] = self.style_convert_func(self.char_bopomofo_dict[char][0]) partial_results.append(partial_result) return texts, query_ids, sent_ids, partial_results diff --git a/paddlespeech/t2s/frontend/polyphonic.yaml b/paddlespeech/t2s/frontend/polyphonic.yaml index 6b453d87b..629bcd262 100644 --- a/paddlespeech/t2s/frontend/polyphonic.yaml +++ b/paddlespeech/t2s/frontend/polyphonic.yaml @@ -1,5 +1,26 @@ polyphonic: 湖泊: ['hu2','po1'] + 地壳: ['di4','qiao4'] + 柏树: ['bai3','shu4'] + 曝光: ['bao4','guang1'] 弹力: ['tan2','li4'] + 字帖: ['zi4','tie4'] + 口吃: ['kou3','chi1'] + 包扎: ['bao1','za1'] + 哪吒: ['ne2','zha1'] + 说服: ['shuo1','fu2'] + 识字: ['shi2','zi4'] + 骨头: ['gu3','tou5'] + 对称: ['dui4','chen4'] + 口供: ['kou3','gong4'] + 抹布: ['ma1','bu4'] + 露背: ['lu4','bei4'] + 圈养: ['juan4', 'yang3'] + 眼眶: ['yan3', 'kuang4'] + 品行: ['pin3','xing2'] 颤抖: ['chan4','dou3'] - 鸭绿江: ['ya1','lu4','jiang1'] \ No newline at end of file + 差不多: ['cha4','bu5','duo1'] + 鸭绿江: ['ya1','lu4','jiang1'] + 撒切尔: ['sa4','qie4','er3'] + 比比皆是: ['bi3','bi3','jie1','shi4'] + 身无长物: ['shen1','wu2','chang2','wu4'] \ No newline at end of file From 8dbefc0165404785a1a2281a5250b12dc8c25ad5 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Fri, 12 Aug 2022 12:02:31 +0000 Subject: [PATCH 187/192] fix preprocess bug, add hifigan_csmsc decoder, update readme --- examples/zh_en_tts/tts3/README.md | 9 ++++++- examples/zh_en_tts/tts3/local/inference.sh | 15 +++++++++++ examples/zh_en_tts/tts3/local/ort_predict.sh | 21 +++++++++++---- examples/zh_en_tts/tts3/local/synthesize.sh | 5 +--- .../zh_en_tts/tts3/local/synthesize_e2e.sh | 27 ++++++++++++++++++- examples/zh_en_tts/tts3/run.sh | 8 +++--- .../t2s/exps/fastspeech2/preprocess.py | 1 - 7 files changed, 70 insertions(+), 16 deletions(-) diff --git a/examples/zh_en_tts/tts3/README.md b/examples/zh_en_tts/tts3/README.md index ead574293..1752d2469 100644 --- a/examples/zh_en_tts/tts3/README.md +++ b/examples/zh_en_tts/tts3/README.md @@ -98,9 +98,16 @@ optional arguments: ### Synthesizing -We use [parallel wavegan](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/aishell3/voc1) as the neural vocoder. +We use [parallel wavegan](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/aishell3/voc1) as the default neural vocoder. Download the pretrained parallel wavegan model from [pwg_aishell3_ckpt_0.5.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/pwgan/pwg_aishell3_ckpt_0.5.zip) and unzip it. +When speaker is `174` (csmsc), use csmsc's vocoder is better than aishell3's, we recommend that you use [hifigan_csmsc_ckpt_0.1.1.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/hifigan/hifigan_csmsc_ckpt_0.1.1.zip), please check `stage 2` of `synthesize_e2e.sh`. + +But if speaker is `175` (ljspeech), we **don't** recommend you to use ljspeech's vocoder, because ljspeech's vocoders are trained on sample rate 22.05kHz, but this acoustic model is trained on sample rate 24kHz, you can use csmsc's vocoder also, because ljspeech and csmsc are both female speakers. + +For speakers in aishell3 and vctk, we recommend you use aishell3 or vctk's vocoders, because ljspeech and csmsc are both female speakers, there vocoders may not perform well for male speakers in aishell3 and vctk, you can check speaker name and spk_id in `dump/speaker_id_map.txt` and check speakers' information ( Age / Gender / Accents / region, etc ) in [this issue](https://github.com/PaddlePaddle/PaddleSpeech/issues/1620) and choose the `spk_id` you want. + + ```bash unzip pwg_aishell3_ckpt_0.5.zip ``` diff --git a/examples/zh_en_tts/tts3/local/inference.sh b/examples/zh_en_tts/tts3/local/inference.sh index 5d3bd09e0..16499ed01 100755 --- a/examples/zh_en_tts/tts3/local/inference.sh +++ b/examples/zh_en_tts/tts3/local/inference.sh @@ -37,3 +37,18 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then --lang=mix \ --spk_id=174 fi + +# voc: hifigan_csmsc +# when speaker is 174 (csmsc), use csmsc's vocoder is better than aishell3's +if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then + python3 ${BIN_DIR}/../inference.py \ + --inference_dir=${train_output_path}/inference \ + --am=fastspeech2_mix \ + --voc=hifigan_csmsc \ + --text=${BIN_DIR}/../sentences_mix.txt \ + --output_dir=${train_output_path}/pd_infer_out \ + --phones_dict=dump/phone_id_map.txt \ + --speaker_dict=dump/speaker_id_map.txt \ + --lang=mix \ + --spk_id=174 +fi diff --git a/examples/zh_en_tts/tts3/local/ort_predict.sh b/examples/zh_en_tts/tts3/local/ort_predict.sh index 86dcd1154..d80da9c91 100755 --- a/examples/zh_en_tts/tts3/local/ort_predict.sh +++ b/examples/zh_en_tts/tts3/local/ort_predict.sh @@ -18,9 +18,7 @@ if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then --device=cpu \ --cpu_threads=4 \ --lang=mix \ - --spk_id=174 - - + --spk_id=174 fi @@ -38,6 +36,19 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then --device=cpu \ --cpu_threads=4 \ --lang=mix \ - --spk_id=174 - + --spk_id=174 +fi + +if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then + python3 ${BIN_DIR}/../ort_predict_e2e.py \ + --inference_dir=${train_output_path}/inference_onnx \ + --am=fastspeech2_mix \ + --voc=hifigan_csmsc \ + --output_dir=${train_output_path}/onnx_infer_out_e2e \ + --text=${BIN_DIR}/../sentences_mix.txt \ + --phones_dict=dump/phone_id_map.txt \ + --device=cpu \ + --cpu_threads=4 \ + --lang=mix \ + --spk_id=174 fi diff --git a/examples/zh_en_tts/tts3/local/synthesize.sh b/examples/zh_en_tts/tts3/local/synthesize.sh index f3a0bf150..5bb947466 100755 --- a/examples/zh_en_tts/tts3/local/synthesize.sh +++ b/examples/zh_en_tts/tts3/local/synthesize.sh @@ -20,7 +20,7 @@ if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then --voc_config=pwg_aishell3_ckpt_0.5/default.yaml \ --voc_ckpt=pwg_aishell3_ckpt_0.5/snapshot_iter_1000000.pdz \ --voc_stat=pwg_aishell3_ckpt_0.5/feats_stats.npy \ - --test_metadata=dump/test/norm/metadata2.jsonl \ + --test_metadata=dump/test/norm/metadata.jsonl \ --output_dir=${train_output_path}/test \ --phones_dict=dump/phone_id_map.txt \ --speaker_dict=dump/speaker_id_map.txt @@ -45,6 +45,3 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then --phones_dict=dump/phone_id_map.txt \ --speaker_dict=dump/speaker_id_map.txt fi - - - diff --git a/examples/zh_en_tts/tts3/local/synthesize_e2e.sh b/examples/zh_en_tts/tts3/local/synthesize_e2e.sh index ae14e3cc8..f6ee04aef 100755 --- a/examples/zh_en_tts/tts3/local/synthesize_e2e.sh +++ b/examples/zh_en_tts/tts3/local/synthesize_e2e.sh @@ -54,4 +54,29 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then --speaker_dict=dump/speaker_id_map.txt \ --spk_id=174 \ --inference_dir=${train_output_path}/inference - fi +fi + + +# voc: hifigan_csmsc +# when speaker is 174 (csmsc), use csmsc's vocoder is better than aishell3's +if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then + echo "in csmsc's hifigan syn_e2e" + FLAGS_allocator_strategy=naive_best_fit \ + FLAGS_fraction_of_gpu_memory_to_use=0.01 \ + python3 ${BIN_DIR}/../synthesize_e2e.py \ + --am=fastspeech2_mix \ + --am_config=${config_path} \ + --am_ckpt=${train_output_path}/checkpoints/${ckpt_name} \ + --am_stat=dump/train/speech_stats.npy \ + --voc=hifigan_csmsc \ + --voc_config=hifigan_csmsc_ckpt_0.1.1/default.yaml \ + --voc_ckpt=hifigan_csmsc_ckpt_0.1.1/snapshot_iter_2500000.pdz \ + --voc_stat=hifigan_csmsc_ckpt_0.1.1/feats_stats.npy \ + --lang=mix \ + --text=${BIN_DIR}/../sentences_mix.txt \ + --output_dir=${train_output_path}/test_e2e \ + --phones_dict=dump/phone_id_map.txt \ + --speaker_dict=dump/speaker_id_map.txt \ + --spk_id=174 \ + --inference_dir=${train_output_path}/inference +fi \ No newline at end of file diff --git a/examples/zh_en_tts/tts3/run.sh b/examples/zh_en_tts/tts3/run.sh index 221ed7ee2..204042b12 100755 --- a/examples/zh_en_tts/tts3/run.sh +++ b/examples/zh_en_tts/tts3/run.sh @@ -7,7 +7,7 @@ gpus=0,1 stage=0 stop_stage=100 -datasets_root_dir=./datasets/ +datasets_root_dir=~/datasets mfa_root_dir=./mfa_results/ conf_path=conf/default.yaml train_output_path=exp/default @@ -53,11 +53,11 @@ if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx fastspeech2_mix # considering the balance between speed and quality, we recommend that you use hifigan as vocoder ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx pwgan_aishell3 - #./local/paddle2onnx.sh ${train_output_path} inference inference_onnx hifigan_aishell3 - + # ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx hifigan_aishell3 + # ./local/paddle2onnx.sh ${train_output_path} inference inference_onnx hifigan_csmsc fi -# inference with onnxruntime, use fastspeech2 + hifigan by default +# inference with onnxruntime, use fastspeech2 + pwgan by default if [ ${stage} -le 6 ] && [ ${stop_stage} -ge 6 ]; then ./local/ort_predict.sh ${train_output_path} fi diff --git a/paddlespeech/t2s/exps/fastspeech2/preprocess.py b/paddlespeech/t2s/exps/fastspeech2/preprocess.py index 6e926d6e1..f4acdc60b 100644 --- a/paddlespeech/t2s/exps/fastspeech2/preprocess.py +++ b/paddlespeech/t2s/exps/fastspeech2/preprocess.py @@ -180,7 +180,6 @@ def process_sentences(config, results.append(record) results.sort(key=itemgetter("utt_id")) - write_metadata_method) with jsonlines.open(output_dir / "metadata.jsonl", write_metadata_method) as writer: for item in results: From 18b4fb57bed1ea9058f78b0a65fce64cf29a209f Mon Sep 17 00:00:00 2001 From: TianYuan Date: Fri, 12 Aug 2022 12:17:33 +0000 Subject: [PATCH 188/192] update readme --- examples/zh_en_tts/tts3/README.md | 33 ++++++++++++++++++++++++------- 1 file changed, 26 insertions(+), 7 deletions(-) diff --git a/examples/zh_en_tts/tts3/README.md b/examples/zh_en_tts/tts3/README.md index 1752d2469..131d7f2c4 100644 --- a/examples/zh_en_tts/tts3/README.md +++ b/examples/zh_en_tts/tts3/README.md @@ -1,3 +1,4 @@ + # Mixed Chinese and English TTS with CSMSC, LJSpeech-1.1, AISHELL-3 and VCTK datasets This example contains code used to train a [Fastspeech2](https://arxiv.org/abs/2006.04558) model with [CSMSC](https://www.data-baker.com/open_source.html), [LJSpeech-1.1](https://keithito.com/LJ-Speech-Dataset/), [AISHELL3](http://www.aishelltech.com/aishell_3) and [VCTK](https://datashare.ed.ac.uk/handle/10283/3443) datasets. @@ -5,15 +6,34 @@ This example contains code used to train a [Fastspeech2](https://arxiv.org/abs/2 ## Dataset ### Download and Extract -Download all datasets and extract it to `~/datasets`. The CSMSC dataset is in the directory `~/datasets/BZNSYP`. The Ljspeech dataset is in the directory `~/datasets/LJSpeech-1.1`. The aishell3 dataset is in the directory `~/datasets/data_aishell3`. The vctk dataset is in the directory `~/datasets/VCTK-Corpus-0.92`. +Download all datasets and extract it to `~/datasets`: +- The CSMSC dataset is in the directory `~/datasets/BZNSYP` +- The Ljspeech dataset is in the directory `~/datasets/LJSpeech-1.1` +- The aishell3 dataset is in the directory `~/datasets/data_aishell3` +- The vctk dataset is in the directory `~/datasets/VCTK-Corpus-0.92` ### Get MFA Result and Extract We use [MFA](https://github.com/MontrealCorpusTools/Montreal-Forced-Aligner) to get durations for the fastspeech2 training. -You can download from here [baker_alignment_tone.tar.gz](https://paddlespeech.bj.bcebos.com/MFA/BZNSYP/with_tone/baker_alignment_tone.tar.gz), [ljspeech_alignment.tar.gz](https://paddlespeech.bj.bcebos.com/MFA/LJSpeech-1.1/ljspeech_alignment.tar.gz), [aishell3_alignment_tone.tar.gz](https://paddlespeech.bj.bcebos.com/MFA/AISHELL-3/with_tone/aishell3_alignment_tone.tar.gz) and [vctk_alignment.tar.gz](https://paddlespeech.bj.bcebos.com/MFA/VCTK-Corpus-0.92/vctk_alignment.tar.gz). Or train your MFA model reference to [mfa example](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/other/mfa) (use MFA1.x now) of our repo. +You can download from here: +- [baker_alignment_tone.tar.gz](https://paddlespeech.bj.bcebos.com/MFA/BZNSYP/with_tone/baker_alignment_tone.tar.gz) +- [ljspeech_alignment.tar.gz](https://paddlespeech.bj.bcebos.com/MFA/LJSpeech-1.1/ljspeech_alignment.tar.gz) +- [aishell3_alignment_tone.tar.gz](https://paddlespeech.bj.bcebos.com/MFA/AISHELL-3/with_tone/aishell3_alignment_tone.tar.gz) +- [vctk_alignment.tar.gz](https://paddlespeech.bj.bcebos.com/MFA/VCTK-Corpus-0.92/vctk_alignment.tar.gz) + +Or train your MFA model reference to [mfa example](https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/other/mfa) (use MFA1.x now) of our repo. ## Get Started -Assume the paths of the datasets are `~/datasets/BZNSYP`, `~/datasets/LJSpeech-1.1`, `~/datasets/data_aishell3` and `~/datasets/VCTK-Corpus-0.92`. -Assume the path to the MFA result of the datasets are `./mfa_results/baker_alignment_tone`, `./mfa_results/ljspeech_alignment`, `./mfa_results/aishell3_alignment_tone` and `./mfa_results/vctk_alignment`. +Assume the paths to the datasets are: +- `~/datasets/BZNSYP` +- `~/datasets/LJSpeech-1.1` +- `~/datasets/data_aishell3` +- `~/datasets/VCTK-Corpus-0.92` + +Assume the path to the MFA results of the datasets are: +- `./mfa_results/baker_alignment_tone` +- `./mfa_results/ljspeech_alignment` +- `./mfa_results/aishell3_alignment_tone` +- `./mfa_results/vctk_alignment` Run the command below to 1. **source path**. @@ -252,7 +272,7 @@ fastspeech2_mix_ckpt_0.2.0 You can use the following scripts to synthesize for `${BIN_DIR}/../sentences_mix.txt` using pretrained fastspeech2 and parallel wavegan models. -174 means baker speaker, 175 means ljspeech speaker. For other speaker information, see `speaker_id_map.txt` +`174` means baker speaker, `175` means ljspeech speaker. For other speaker information, please see `speaker_id_map.txt`. ```bash source path.sh @@ -262,7 +282,7 @@ FLAGS_fraction_of_gpu_memory_to_use=0.01 \ python3 ${BIN_DIR}/../synthesize_e2e.py \ --am=fastspeech2_mix \ --am_config=fastspeech2_mix_ckpt_0.2.0/default.yaml \ - --am_ckpt=fastspeech2_mix_ckpt_0.2.0/snapshot_iter_96400.pdz \ + --am_ckpt=fastspeech2_mix_ckpt_0.2.0/snapshot_iter_99200.pdz \ --am_stat=fastspeech2_mix_ckpt_0.2.0/speech_stats.npy \ --voc=pwgan_aishell3 \ --voc_config=pwg_aishell3_ckpt_0.5/default.yaml \ @@ -275,5 +295,4 @@ python3 ${BIN_DIR}/../synthesize_e2e.py \ --speaker_dict=fastspeech2_mix_ckpt_0.2.0/speaker_id_map.txt \ --spk_id=174 \ --inference_dir=exp/default/inference - ``` From 3da9a15f9d48b0a9d2ea0d31818d1cd86c7aba11 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Mon, 15 Aug 2022 10:59:43 +0800 Subject: [PATCH 189/192] Update README.md --- examples/other/g2p/README.md | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/examples/other/g2p/README.md b/examples/other/g2p/README.md index 141f7f741..50a3c1a0a 100644 --- a/examples/other/g2p/README.md +++ b/examples/other/g2p/README.md @@ -10,11 +10,16 @@ Run the command below to get the results of the test. ```bash ./run.sh ``` -The `avg WER` of g2p is: 0.026014352515701198 + +The `avg WER` of g2p is: 0.028952373312476395 + ```text ,--------------------------------------------------------------------. - | | # Snt # Wrd | Corr Sub Del Ins Err S.Err | + | ./exp/g2p/text.g2p | + |--------------------------------------------------------------------| + | SPKR | # Snt # Wrd | Corr Sub Del Ins Err S.Err | |--------+-----------------+-----------------------------------------| - | Sum/Avg| 9996 299181 | 97.3 2.7 0.0 0.0 2.7 52.2 | + | Sum/Avg| 9996 299181 | 97.2 2.8 0.0 0.1 2.9 53.3 | `--------------------------------------------------------------------' + ``` From ed18b08d075e3afa28dac2ceead6f98b4e33a499 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Mon, 15 Aug 2022 10:59:57 +0800 Subject: [PATCH 190/192] Update README.md --- examples/other/g2p/README.md | 1 - 1 file changed, 1 deletion(-) diff --git a/examples/other/g2p/README.md b/examples/other/g2p/README.md index 50a3c1a0a..84f5fe234 100644 --- a/examples/other/g2p/README.md +++ b/examples/other/g2p/README.md @@ -21,5 +21,4 @@ The `avg WER` of g2p is: 0.028952373312476395 |--------+-----------------+-----------------------------------------| | Sum/Avg| 9996 299181 | 97.2 2.8 0.0 0.1 2.9 53.3 | `--------------------------------------------------------------------' - ``` From 5d515f3f3f567497533483ad03dc71c8f9ee9d0a Mon Sep 17 00:00:00 2001 From: TianYuan Date: Mon, 15 Aug 2022 06:41:53 +0000 Subject: [PATCH 191/192] update mix tts --- paddlespeech/cli/tts/infer.py | 4 ++-- paddlespeech/resource/pretrained_models.py | 16 ++++++++++++++++ tests/unit/cli/test_cli.sh | 10 +++++++--- 3 files changed, 25 insertions(+), 5 deletions(-) diff --git a/paddlespeech/cli/tts/infer.py b/paddlespeech/cli/tts/infer.py index 1b02192e1..3eb597156 100644 --- a/paddlespeech/cli/tts/infer.py +++ b/paddlespeech/cli/tts/infer.py @@ -255,9 +255,9 @@ class TTSExecutor(BaseExecutor): else: use_pretrained_voc = False voc_lang = lang - # we must use ljspeech's voc for mix am now! + # When speaker is 174 (csmsc), use csmsc's vocoder is better than aishell3's if lang == 'mix': - voc_lang = 'en' + voc_lang = 'zh' voc_tag = voc + '-' + voc_lang self.task_resource.set_task_model( model_tag=voc_tag, diff --git a/paddlespeech/resource/pretrained_models.py b/paddlespeech/resource/pretrained_models.py index e39f7721a..9d9be0aca 100644 --- a/paddlespeech/resource/pretrained_models.py +++ b/paddlespeech/resource/pretrained_models.py @@ -672,6 +672,22 @@ tts_dynamic_pretrained_models = { 'speaker_dict': 'speaker_id_map.txt', }, + '2.0': { + 'url': + 'https://paddlespeech.bj.bcebos.com/t2s/chinse_english_mixed/models/fastspeech2_mix_ckpt_0.2.0.zip', + 'md5': + '1d938e104e972386c8bfcbcc98a91587', + 'config': + 'default.yaml', + 'ckpt': + 'snapshot_iter_99200.pdz', + 'speech_stats': + 'speech_stats.npy', + 'phones_dict': + 'phone_id_map.txt', + 'speaker_dict': + 'speaker_id_map.txt', + }, }, # tacotron2 "tacotron2_csmsc-zh": { diff --git a/tests/unit/cli/test_cli.sh b/tests/unit/cli/test_cli.sh index 4d2ed1b85..15604961d 100755 --- a/tests/unit/cli/test_cli.sh +++ b/tests/unit/cli/test_cli.sh @@ -56,9 +56,13 @@ paddlespeech tts --am tacotron2_ljspeech --voc pwgan_ljspeech --lang en --input # mix tts # The `am` must be `fastspeech2_mix`! # The `lang` must be `mix`! -# The voc must be `hifigan_ljspeech` or `pwgan_ljspeech` for f`astspeech2_mix` now! -paddlespeech tts --am fastspeech2_mix --voc hifigan_ljspeech --lang mix --input "热烈欢迎您在 Discussions 中提交问题，并在 Issues 中指出发现的 bug。此外，我们非常希望您参与到 Paddle Speech 的开发中！" --spk_id 0 --output mix_spk0.wav -paddlespeech tts --am fastspeech2_mix --voc pwgan_ljspeech --lang mix --input "我们的声学模型使用了 Fast Speech Two, 声码器使用了 Parallel Wave GAN and Hifi GAN." --spk_id 1 --output mix_spk1.wav +# The voc must be chinese datasets' voc now! +# spk 174 is csmcc, spk 175 is ljspeech +paddlespeech tts --am fastspeech2_mix --voc hifigan_csmsc --lang mix --input "热烈欢迎您在 Discussions 中提交问题，并在 Issues 中指出发现的 bug。此外，我们非常希望您参与到 Paddle Speech 的开发中！" --spk_id 174 --output mix_spk174.wav +paddlespeech tts --am fastspeech2_mix --voc hifigan_aishell3 --lang mix --input "热烈欢迎您在 Discussions 中提交问题，并在 Issues 中指出发现的 bug。此外，我们非常希望您参与到 Paddle Speech 的开发中！" --spk_id 174 --output mix_spk174_aishell3.wav +paddlespeech tts --am fastspeech2_mix --voc pwgan_csmsc --lang mix --input "我们的声学模型使用了 Fast Speech Two, 声码器使用了 Parallel Wave GAN and Hifi GAN." --spk_id 175 --output mix_spk175_pwgan.wav +paddlespeech tts --am fastspeech2_mix --voc hifigan_csmsc --lang mix --input "我们的声学模型使用了 Fast Speech Two, 声码器使用了 Parallel Wave GAN and Hifi GAN." --spk_id 175 --output mix_spk175.wav + # Speech Translation (only support linux) paddlespeech st --input ./en.wav From 5de2c2dab5f91b4b7f3a29b49ca90dd7f0f81803 Mon Sep 17 00:00:00 2001 From: TianYuan Date: Mon, 15 Aug 2022 10:25:57 +0000 Subject: [PATCH 192/192] format g2pw --- paddlespeech/t2s/frontend/g2pw/dataset.py | 152 ++++++++++++--------- paddlespeech/t2s/frontend/g2pw/onnx_api.py | 140 +++++++++++++------ paddlespeech/t2s/frontend/g2pw/utils.py | 21 ++- paddlespeech/t2s/frontend/zh_frontend.py | 34 +++-- 4 files changed, 226 insertions(+), 121 deletions(-) diff --git a/paddlespeech/t2s/frontend/g2pw/dataset.py b/paddlespeech/t2s/frontend/g2pw/dataset.py index 8125f71f0..ab715dc36 100644 --- a/paddlespeech/t2s/frontend/g2pw/dataset.py +++ b/paddlespeech/t2s/frontend/g2pw/dataset.py @@ -1,65 +1,95 @@ +# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. """ Credits - This code is modified from https://github.com/GitYCC/g2pW + This code is modified from https://github.com/GitYCC/g2pW """ import numpy as np + from paddlespeech.t2s.frontend.g2pw.utils import tokenize_and_map ANCHOR_CHAR = '▁' -def prepare_onnx_input(tokenizer, labels, char2phonemes, chars, texts, query_ids, phonemes=None, pos_tags=None, - use_mask=False, use_char_phoneme=False, use_pos=False, window_size=None, max_len=512): - if window_size is not None: - truncated_texts, truncated_query_ids = _truncate_texts(window_size, texts, query_ids) - - input_ids = [] - token_type_ids = [] - attention_masks = [] - phoneme_masks = [] - char_ids = [] - position_ids = [] - - for idx in range(len(texts)): - text = (truncated_texts if window_size else texts)[idx].lower() - query_id = (truncated_query_ids if window_size else query_ids)[idx] - - try: - tokens, text2token, token2text = tokenize_and_map(tokenizer, text) - except Exception: - print(f'warning: text "{text}" is invalid') - return {} - - text, query_id, tokens, text2token, token2text = _truncate(max_len, text, query_id, tokens, text2token, token2text) - - processed_tokens = ['[CLS]'] + tokens + ['[SEP]'] - - input_id = list(np.array(tokenizer.convert_tokens_to_ids(processed_tokens))) - token_type_id = list(np.zeros((len(processed_tokens),), dtype=int)) - attention_mask = list(np.ones((len(processed_tokens),), dtype=int)) - - query_char = text[query_id] - phoneme_mask = [1 if i in char2phonemes[query_char] else 0 for i in range(len(labels))] \ - if use_mask else [1] * len(labels) - char_id = chars.index(query_char) - position_id = text2token[query_id] + 1 # [CLS] token locate at first place - - input_ids.append(input_id) - token_type_ids.append(token_type_id) - attention_masks.append(attention_mask) - phoneme_masks.append(phoneme_mask) - char_ids.append(char_id) - position_ids.append(position_id) - - outputs = { - 'input_ids': np.array(input_ids), - 'token_type_ids': np.array(token_type_ids), - 'attention_masks': np.array(attention_masks), - 'phoneme_masks': np.array(phoneme_masks).astype(np.float32), - 'char_ids': np.array(char_ids), - 'position_ids': np.array(position_ids), - } - return outputs +def prepare_onnx_input(tokenizer, + labels, + char2phonemes, + chars, + texts, + query_ids, + phonemes=None, + pos_tags=None, + use_mask=False, + use_char_phoneme=False, + use_pos=False, + window_size=None, + max_len=512): + if window_size is not None: + truncated_texts, truncated_query_ids = _truncate_texts(window_size, + texts, query_ids) + + input_ids = [] + token_type_ids = [] + attention_masks = [] + phoneme_masks = [] + char_ids = [] + position_ids = [] + + for idx in range(len(texts)): + text = (truncated_texts if window_size else texts)[idx].lower() + query_id = (truncated_query_ids if window_size else query_ids)[idx] + + try: + tokens, text2token, token2text = tokenize_and_map(tokenizer, text) + except Exception: + print(f'warning: text "{text}" is invalid') + return {} + + text, query_id, tokens, text2token, token2text = _truncate( + max_len, text, query_id, tokens, text2token, token2text) + + processed_tokens = ['[CLS]'] + tokens + ['[SEP]'] + + input_id = list( + np.array(tokenizer.convert_tokens_to_ids(processed_tokens))) + token_type_id = list(np.zeros((len(processed_tokens), ), dtype=int)) + attention_mask = list(np.ones((len(processed_tokens), ), dtype=int)) + + query_char = text[query_id] + phoneme_mask = [1 if i in char2phonemes[query_char] else 0 for i in range(len(labels))] \ + if use_mask else [1] * len(labels) + char_id = chars.index(query_char) + position_id = text2token[ + query_id] + 1 # [CLS] token locate at first place + + input_ids.append(input_id) + token_type_ids.append(token_type_id) + attention_masks.append(attention_mask) + phoneme_masks.append(phoneme_mask) + char_ids.append(char_id) + position_ids.append(position_id) + + outputs = { + 'input_ids': np.array(input_ids), + 'token_type_ids': np.array(token_type_ids), + 'attention_masks': np.array(attention_masks), + 'phoneme_masks': np.array(phoneme_masks).astype(np.float32), + 'char_ids': np.array(char_ids), + 'position_ids': np.array(position_ids), + } + return outputs + def _truncate_texts(window_size, texts, query_ids): truncated_texts = [] @@ -74,6 +104,7 @@ def _truncate_texts(window_size, texts, query_ids): truncated_query_ids.append(truncated_query_id) return truncated_texts, truncated_query_ids + def _truncate(max_len, text, query_id, tokens, text2token, token2text): truncate_len = max_len - 2 if len(tokens) <= truncate_len: @@ -95,13 +126,11 @@ def _truncate(max_len, text, query_id, tokens, text2token, token2text): start = token2text[token_start][0] end = token2text[token_end - 1][1] - return ( - text[start:end], - query_id - start, - tokens[token_start:token_end], - [i - token_start if i is not None else None for i in text2token[start:end]], - [(s - start, e - start) for s, e in token2text[token_start:token_end]] - ) + return (text[start:end], query_id - start, tokens[token_start:token_end], [ + i - token_start if i is not None else None + for i in text2token[start:end] + ], [(s - start, e - start) for s, e in token2text[token_start:token_end]]) + def prepare_data(sent_path, lb_path=None): raw_texts = open(sent_path).read().rstrip().split('\n') @@ -125,7 +154,8 @@ def get_phoneme_labels(polyphonic_chars): def get_char_phoneme_labels(polyphonic_chars): - labels = sorted(list(set([f'{char} {phoneme}' for char, phoneme in polyphonic_chars]))) + labels = sorted( + list(set([f'{char} {phoneme}' for char, phoneme in polyphonic_chars]))) char2phonemes = {} for char, phoneme in polyphonic_chars: if char not in char2phonemes: diff --git a/paddlespeech/t2s/frontend/g2pw/onnx_api.py b/paddlespeech/t2s/frontend/g2pw/onnx_api.py index ace943f2b..3a406ad20 100644 --- a/paddlespeech/t2s/frontend/g2pw/onnx_api.py +++ b/paddlespeech/t2s/frontend/g2pw/onnx_api.py @@ -1,38 +1,54 @@ +# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. """ Credits - This code is modified from https://github.com/GitYCC/g2pW + This code is modified from https://github.com/GitYCC/g2pW """ -import os import json -import onnxruntime -import numpy as np +import os +import numpy as np +import onnxruntime from opencc import OpenCC -from pypinyin import pinyin, lazy_pinyin, Style from paddlenlp.transformers import BertTokenizer -from paddlespeech.utils.env import MODEL_HOME -from paddlespeech.t2s.frontend.g2pw.dataset import prepare_data,\ - prepare_onnx_input,\ - get_phoneme_labels,\ - get_char_phoneme_labels -from paddlespeech.t2s.frontend.g2pw.utils import load_config +from pypinyin import pinyin +from pypinyin import Style + from paddlespeech.cli.utils import download_and_decompress from paddlespeech.resource.pretrained_models import g2pw_onnx_models +from paddlespeech.t2s.frontend.g2pw.dataset import get_char_phoneme_labels +from paddlespeech.t2s.frontend.g2pw.dataset import get_phoneme_labels +from paddlespeech.t2s.frontend.g2pw.dataset import prepare_onnx_input +from paddlespeech.t2s.frontend.g2pw.utils import load_config +from paddlespeech.utils.env import MODEL_HOME def predict(session, onnx_input, labels): all_preds = [] all_confidences = [] - probs = session.run([],{"input_ids": onnx_input['input_ids'], - "token_type_ids":onnx_input['token_type_ids'], - "attention_mask":onnx_input['attention_masks'], - "phoneme_mask":onnx_input['phoneme_masks'], - "char_ids":onnx_input['char_ids'], - "position_ids":onnx_input['position_ids']})[0] - - preds = np.argmax(probs,axis=1).tolist() + probs = session.run([], { + "input_ids": onnx_input['input_ids'], + "token_type_ids": onnx_input['token_type_ids'], + "attention_mask": onnx_input['attention_masks'], + "phoneme_mask": onnx_input['phoneme_masks'], + "char_ids": onnx_input['char_ids'], + "position_ids": onnx_input['position_ids'] + })[0] + + preds = np.argmax(probs, axis=1).tolist() max_probs = [] - for index,arr in zip(preds,probs.tolist()): + for index, arr in zip(preds, probs.tolist()): max_probs.append(arr[index]) all_preds += [labels[pred] for pred in preds] all_confidences += max_probs @@ -41,39 +57,69 @@ def predict(session, onnx_input, labels): class G2PWOnnxConverter: - def __init__(self, model_dir = MODEL_HOME, style='bopomofo', model_source=None, enable_non_tradional_chinese=False): + def __init__(self, + model_dir=MODEL_HOME, + style='bopomofo', + model_source=None, + enable_non_tradional_chinese=False): if not os.path.exists(os.path.join(model_dir, 'G2PWModel/g2pW.onnx')): - uncompress_path = download_and_decompress(g2pw_onnx_models['G2PWModel']['1.0'],model_dir) + uncompress_path = download_and_decompress( + g2pw_onnx_models['G2PWModel']['1.0'], model_dir) sess_options = onnxruntime.SessionOptions() sess_options.graph_optimization_level = onnxruntime.GraphOptimizationLevel.ORT_ENABLE_ALL sess_options.execution_mode = onnxruntime.ExecutionMode.ORT_SEQUENTIAL sess_options.intra_op_num_threads = 2 - self.session_g2pW = onnxruntime.InferenceSession(os.path.join(model_dir, 'G2PWModel/g2pW.onnx'),sess_options=sess_options) - self.config = load_config(os.path.join(model_dir, 'G2PWModel/config.py'), use_default=True) + self.session_g2pW = onnxruntime.InferenceSession( + os.path.join(model_dir, 'G2PWModel/g2pW.onnx'), + sess_options=sess_options) + self.config = load_config( + os.path.join(model_dir, 'G2PWModel/config.py'), use_default=True) self.model_source = model_source if model_source else self.config.model_source self.enable_opencc = enable_non_tradional_chinese self.tokenizer = BertTokenizer.from_pretrained(self.config.model_source) - polyphonic_chars_path = os.path.join(model_dir, 'G2PWModel/POLYPHONIC_CHARS.txt') - monophonic_chars_path = os.path.join(model_dir, 'G2PWModel/MONOPHONIC_CHARS.txt') - self.polyphonic_chars = [line.split('\t') for line in open(polyphonic_chars_path,encoding='utf-8').read().strip().split('\n')] - self.monophonic_chars = [line.split('\t') for line in open(monophonic_chars_path,encoding='utf-8').read().strip().split('\n')] - self.labels, self.char2phonemes = get_char_phoneme_labels(self.polyphonic_chars) if self.config.use_char_phoneme else get_phoneme_labels(self.polyphonic_chars) + polyphonic_chars_path = os.path.join(model_dir, + 'G2PWModel/POLYPHONIC_CHARS.txt') + monophonic_chars_path = os.path.join(model_dir, + 'G2PWModel/MONOPHONIC_CHARS.txt') + self.polyphonic_chars = [ + line.split('\t') + for line in open(polyphonic_chars_path, encoding='utf-8').read() + .strip().split('\n') + ] + self.monophonic_chars = [ + line.split('\t') + for line in open(monophonic_chars_path, encoding='utf-8').read() + .strip().split('\n') + ] + self.labels, self.char2phonemes = get_char_phoneme_labels( + self.polyphonic_chars + ) if self.config.use_char_phoneme else get_phoneme_labels( + self.polyphonic_chars) self.chars = sorted(list(self.char2phonemes.keys())) - self.pos_tags = ['UNK', 'A', 'C', 'D', 'I', 'N', 'P', 'T', 'V', 'DE', 'SHI'] - - with open(os.path.join(model_dir,'G2PWModel/bopomofo_to_pinyin_wo_tune_dict.json'), 'r',encoding='utf-8') as fr: + self.pos_tags = [ + 'UNK', 'A', 'C', 'D', 'I', 'N', 'P', 'T', 'V', 'DE', 'SHI' + ] + + with open( + os.path.join(model_dir, + 'G2PWModel/bopomofo_to_pinyin_wo_tune_dict.json'), + 'r', + encoding='utf-8') as fr: self.bopomofo_convert_dict = json.load(fr) self.style_convert_func = { 'bopomofo': lambda x: x, 'pinyin': self._convert_bopomofo_to_pinyin, }[style] - with open(os.path.join(model_dir,'G2PWModel/char_bopomofo_dict.json'), 'r',encoding='utf-8') as fr: + with open( + os.path.join(model_dir, 'G2PWModel/char_bopomofo_dict.json'), + 'r', + encoding='utf-8') as fr: self.char_bopomofo_dict = json.load(fr) if self.enable_opencc: @@ -100,15 +146,23 @@ class G2PWOnnxConverter: assert len(translated_sent) == len(sent) translated_sentences.append(translated_sent) sentences = translated_sentences - - texts, query_ids, sent_ids, partial_results = self._prepare_data(sentences) + + texts, query_ids, sent_ids, partial_results = self._prepare_data( + sentences) if len(texts) == 0: # sentences no polyphonic words return partial_results - onnx_input = prepare_onnx_input(self.tokenizer, self.labels, self.char2phonemes, self.chars, texts, query_ids, - use_mask=self.config.use_mask, use_char_phoneme=self.config.use_char_phoneme, - window_size=None) + onnx_input = prepare_onnx_input( + self.tokenizer, + self.labels, + self.char2phonemes, + self.chars, + texts, + query_ids, + use_mask=self.config.use_mask, + use_char_phoneme=self.config.use_char_phoneme, + window_size=None) preds, confidences = predict(self.session_g2pW, onnx_input, self.labels) if self.config.use_char_phoneme: @@ -123,11 +177,12 @@ class G2PWOnnxConverter: def _prepare_data(self, sentences): polyphonic_chars = set(self.chars) monophonic_chars_dict = { - char: phoneme for char, phoneme in self.monophonic_chars + char: phoneme + for char, phoneme in self.monophonic_chars } texts, query_ids, sent_ids, partial_results = [], [], [], [] for sent_id, sent in enumerate(sentences): - pypinyin_result = pinyin(sent,style=Style.TONE3) + pypinyin_result = pinyin(sent, style=Style.TONE3) partial_result = [None] * len(sent) for i, char in enumerate(sent): if char in polyphonic_chars: @@ -135,9 +190,10 @@ class G2PWOnnxConverter: query_ids.append(i) sent_ids.append(sent_id) elif char in monophonic_chars_dict: - partial_result[i] = self.style_convert_func(monophonic_chars_dict[char]) + partial_result[i] = self.style_convert_func( + monophonic_chars_dict[char]) elif char in self.char_bopomofo_dict: - partial_result[i] = pypinyin_result[i][0] + partial_result[i] = pypinyin_result[i][0] # partial_result[i] = self.style_convert_func(self.char_bopomofo_dict[char][0]) partial_results.append(partial_result) return texts, query_ids, sent_ids, partial_results diff --git a/paddlespeech/t2s/frontend/g2pw/utils.py b/paddlespeech/t2s/frontend/g2pw/utils.py index 771e90079..ad02c4c1d 100644 --- a/paddlespeech/t2s/frontend/g2pw/utils.py +++ b/paddlespeech/t2s/frontend/g2pw/utils.py @@ -1,10 +1,22 @@ - +# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. """ Credits - This code is modified from https://github.com/GitYCC/g2pW + This code is modified from https://github.com/GitYCC/g2pW """ import re -import sys + def wordize_and_map(text): words = [] @@ -92,7 +104,6 @@ default_config_dict = { 'char-linear': True, 'pos-linear': False, 'char+pos-second': True, - 'char+pos-second_lowrank': False, 'lowrank_size': 0, 'char+pos-second_fm': False, @@ -130,4 +141,4 @@ def load_config(config_path, use_default=False): for dict_k, dict_v in val.items(): if dict_k not in d: d[dict_k] = dict_v - return config \ No newline at end of file + return config diff --git a/paddlespeech/t2s/frontend/zh_frontend.py b/paddlespeech/t2s/frontend/zh_frontend.py index e61299992..9513a459c 100644 --- a/paddlespeech/t2s/frontend/zh_frontend.py +++ b/paddlespeech/t2s/frontend/zh_frontend.py @@ -11,15 +11,15 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -import re import os -import yaml +import re from typing import Dict from typing import List import jieba.posseg as psg import numpy as np import paddle +import yaml from g2pM import G2pM from pypinyin import lazy_pinyin from pypinyin import load_phrases_dict @@ -58,19 +58,24 @@ def insert_after_character(lst, item): class Polyphonic(): def __init__(self): - with open(os.path.join(os.path.dirname(os.path.abspath(__file__)), - 'polyphonic.yaml'), 'r',encoding='utf-8') as polyphonic_file: + with open( + os.path.join( + os.path.dirname(os.path.abspath(__file__)), + 'polyphonic.yaml'), + 'r', + encoding='utf-8') as polyphonic_file: # 解析yaml polyphonic_dict = yaml.load(polyphonic_file, Loader=yaml.FullLoader) self.polyphonic_words = polyphonic_dict["polyphonic"] - def correct_pronunciation(self,word,pinyin): + def correct_pronunciation(self, word, pinyin): # 词汇被词典收录则返回纠正后的读音 if word in self.polyphonic_words.keys(): pinyin = self.polyphonic_words[word] # 否则返回原读音 return pinyin + class Frontend(): def __init__(self, g2p_model="g2pW", @@ -88,7 +93,8 @@ class Frontend(): elif self.g2p_model == "g2pW": self.corrector = Polyphonic() self.g2pM_model = G2pM() - self.g2pW_model = G2PWOnnxConverter(style='pinyin', enable_non_tradional_chinese=True) + self.g2pW_model = G2PWOnnxConverter( + style='pinyin', enable_non_tradional_chinese=True) self.pinyin2phone = generate_lexicon( with_tone=True, with_erhua=False) @@ -187,7 +193,7 @@ class Frontend(): pinyins = self.g2pW_model(seg)[0] except Exception: # g2pW采用模型采用繁体输入，如果有cover不了的简体词，采用g2pM预测 - print("[%s] not in g2pW dict,use g2pM"%seg) + print("[%s] not in g2pW dict,use g2pM" % seg) pinyins = self.g2pM_model(seg, tone=True, char_split=False) pre_word_length = 0 for word, pos in seg_cut: @@ -199,13 +205,15 @@ class Frontend(): continue word_pinyins = pinyins[pre_word_length:now_word_length] # 矫正发音 - word_pinyins = self.corrector.correct_pronunciation(word,word_pinyins) - for pinyin,char in zip(word_pinyins,word): - if pinyin == None: + word_pinyins = self.corrector.correct_pronunciation( + word, word_pinyins) + for pinyin, char in zip(word_pinyins, word): + if pinyin is None: pinyin = char pinyin = pinyin.replace("u:", "v") if pinyin in self.pinyin2phone: - initial_final_list = self.pinyin2phone[pinyin].split(" ") + initial_final_list = self.pinyin2phone[ + pinyin].split(" ") if len(initial_final_list) == 2: sub_initials.append(initial_final_list[0]) sub_finals.append(initial_final_list[1]) @@ -218,7 +226,7 @@ class Frontend(): sub_finals.append(pinyin) pre_word_length = now_word_length sub_finals = self.tone_modifier.modified_tone(word, pos, - sub_finals) + sub_finals) if with_erhua: sub_initials, sub_finals = self._merge_erhua( sub_initials, sub_finals, word, pos) @@ -231,7 +239,7 @@ class Frontend(): continue sub_initials, sub_finals = self._get_initials_finals(word) sub_finals = self.tone_modifier.modified_tone(word, pos, - sub_finals) + sub_finals) if with_erhua: sub_initials, sub_finals = self._merge_erhua( sub_initials, sub_finals, word, pos)