Merge pull request #960 from PaddlePaddle/paddlespeech
[paddlespeech] merge deepspeech, parakeet and text_processing into paddlespeechpull/963/head
Hui Zhang
4 years ago
committed by
GitHub
commit
58b24aa49f
@ -1,37 +0,0 @@
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#!/bin/bash
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setup_env(){
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cd tools && make && cd -
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}
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install(){
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if [ -f "setup.sh" ]; then
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bash setup.sh
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#export LD_LIBRARY_PATH=/usr/local/lib:$LD_LIBRARY_PATH
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fi
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if [ $? != 0 ]; then
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exit 1
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fi
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}
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print_env(){
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cat /etc/lsb-release
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gcc -v
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g++ -v
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}
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abort(){
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echo "Run install failed" 1>&2
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echo "Please check your code" 1>&2
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exit 1
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}
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trap 'abort' 0
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set -e
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print_env
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setup_env
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source tools/venv/bin/activate
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install
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trap : 0
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@ -1,23 +0,0 @@
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#!/bin/bash
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function abort(){
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echo "Your commit not fit PaddlePaddle code style" 1>&2
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echo "Please use pre-commit scripts to auto-format your code" 1>&2
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exit 1
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}
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trap 'abort' 0
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set -e
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source tools/venv/bin/activate
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python3 --version
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if ! pre-commit run -a ; then
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ls -lh
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git diff --exit-code
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exit 1
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fi
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trap : 0
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@ -1,54 +0,0 @@
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#!/bin/bash
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abort(){
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echo "Run unittest failed" 1>&2
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echo "Please check your code" 1>&2
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exit 1
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}
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unittest(){
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cd $1 > /dev/null
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if [ -f "setup.sh" ]; then
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bash setup.sh
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export LD_LIBRARY_PATH=/usr/local/lib:$LD_LIBRARY_PATH
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fi
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if [ $? != 0 ]; then
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exit 1
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fi
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find . -path ./tools/venv -prune -false -o -name 'tests' -type d -print0 | \
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xargs -0 -I{} -n1 bash -c \
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'python3 -m unittest discover -v -s {}'
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cd - > /dev/null
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}
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coverage(){
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cd $1 > /dev/null
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if [ -f "setup.sh" ]; then
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bash setup.sh
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export LD_LIBRARY_PATH=/usr/local/lib:$LD_LIBRARY_PATH
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fi
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if [ $? != 0 ]; then
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exit 1
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fi
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find . -path ./tools/venv -prune -false -o -name 'tests' -type d -print0 | \
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xargs -0 -I{} -n1 bash -c \
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'python3 -m coverage run --branch {}'
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python3 -m coverage report -m
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python3 -m coverage html
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cd - > /dev/null
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}
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trap 'abort' 0
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set -e
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source tools/venv/bin/activate
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#pip3 install pytest
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#unittest .
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coverage .
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trap : 0
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@ -1,35 +0,0 @@
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@ECHO OFF
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pushd %~dp0
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REM Command file for Sphinx documentation
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if "%SPHINXBUILD%" == "" (
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set SPHINXBUILD=sphinx-build
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)
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set SOURCEDIR=source
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set BUILDDIR=build
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if "%1" == "" goto help
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%SPHINXBUILD% >NUL 2>NUL
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if errorlevel 9009 (
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echo.
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echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
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echo.installed, then set the SPHINXBUILD environment variable to point
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echo.to the full path of the 'sphinx-build' executable. Alternatively you
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echo.may add the Sphinx directory to PATH.
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echo.
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echo.If you don't have Sphinx installed, grab it from
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echo.http://sphinx-doc.org/
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exit /b 1
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)
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%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
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goto end
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:help
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%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
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:end
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popd
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@ -1,2 +0,0 @@
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data
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exp
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# G2P
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* zh - Chinese G2P
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@ -1,53 +0,0 @@
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# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import argparse
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import re
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import jieba
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from pypinyin import lazy_pinyin
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from pypinyin import Style
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def extract_pinyin(source, target, use_jieba=False):
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with open(source, 'rt', encoding='utf-8') as fin:
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with open(target, 'wt', encoding='utf-8') as fout:
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for i, line in enumerate(fin):
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if i % 2 == 0:
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sentence_id, raw_text = line.strip().split()
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raw_text = re.sub(r'#\d', '', raw_text)
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if use_jieba:
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raw_text = jieba.lcut(raw_text)
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syllables = lazy_pinyin(
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raw_text,
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errors='ignore',
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style=Style.TONE3,
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neutral_tone_with_five=True)
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transcription = ' '.join(syllables)
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fout.write(f'{sentence_id} {transcription}\n')
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else:
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continue
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="extract baker pinyin labels")
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parser.add_argument(
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"input", type=str, help="source file of baker's prosody label file")
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parser.add_argument(
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"output", type=str, help="target file to write pinyin lables")
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parser.add_argument(
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"--use-jieba",
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action='store_true',
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help="use jieba for word segmentation.")
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args = parser.parse_args()
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extract_pinyin(args.input, args.output, use_jieba=args.use_jieba)
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# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import argparse
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def extract_pinyin_lables(source, target):
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"""Extract pinyin labels from Baker's prosody labeling."""
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with open(source, 'rt', encoding='utf-8') as fin:
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with open(target, 'wt', encoding='utf-8') as fout:
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for i, line in enumerate(fin):
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if i % 2 == 0:
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sentence_id, raw_text = line.strip().split()
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fout.write(f'{sentence_id} ')
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else:
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transcription = line.strip()
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fout.write(f'{transcription}\n')
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="extract baker pinyin labels")
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parser.add_argument(
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"input", type=str, help="source file of baker's prosody label file")
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parser.add_argument(
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"output", type=str, help="target file to write pinyin lables")
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args = parser.parse_args()
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extract_pinyin_lables(args.input, args.output)
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@ -1,103 +0,0 @@
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# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import argparse
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from pathlib import Path
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from typing import List
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from typing import Union
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def erized(syllable: str) -> bool:
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"""Whether the syllable contains erhua effect.
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Example
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--------
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huar -> True
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guanr -> True
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er -> False
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"""
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# note: for pinyin, len(syllable) >=2 is always true
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# if not: there is something wrong in the data
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assert len(syllable) >= 2, f"inavlid syllable {syllable}"
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return syllable[:2] != "er" and syllable[-2] == 'r'
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def ignore_sandhi(reference: List[str], generated: List[str]) -> List[str]:
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"""
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Given a sequence of syllables from human annotation(reference),
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which makes sandhi explici and a sequence of syllables from some
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simple g2p program(generated), which does not consider sandhi,
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return a the reference sequence while ignore sandhi.
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Example
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--------
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['lao2', 'hu3'], ['lao3', 'hu3'] -> ['lao3', 'hu3']
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"""
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i = 0
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j = 0
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# sandhi ignored in the result while other errors are not included
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result = []
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while i < len(reference):
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if erized(reference[i]):
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result.append(reference[i])
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i += 1
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j += 2
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elif reference[i][:-1] == generated[i][:-1] and reference[i][
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-1] == '2' and generated[i][-1] == '3':
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result.append(generated[i])
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i += 1
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j += 1
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else:
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result.append(reference[i])
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i += 1
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j += 1
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assert j == len(
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generated
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), "length of transcriptions mismatch, There may be some characters that are ignored in the generated transcription."
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return result
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def convert_transcriptions(reference: Union[str, Path],
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generated: Union[str, Path],
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output: Union[str, Path]):
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with open(reference, 'rt') as f_ref:
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with open(generated, 'rt') as f_gen:
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with open(output, 'wt') as f_out:
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for i, (ref, gen) in enumerate(zip(f_ref, f_gen)):
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sentence_id, ref_transcription = ref.strip().split(' ', 1)
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_, gen_transcription = gen.strip().split(' ', 1)
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try:
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result = ignore_sandhi(ref_transcription.split(),
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gen_transcription.split())
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result = ' '.join(result)
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except Exception:
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print(
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||||||
f"sentence_id: {sentence_id} There is some annotation error in the reference or generated transcription. Use the reference."
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)
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result = ref_transcription
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f_out.write(f"{sentence_id} {result}\n")
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(
|
|
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description="reference transcription but ignore sandhi.")
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parser.add_argument(
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"--reference",
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type=str,
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|
||||||
help="path to the reference transcription of baker dataset.")
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parser.add_argument(
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"--generated", type=str, help="path to the generated transcription.")
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parser.add_argument("--output", type=str, help="path to save result.")
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args = parser.parse_args()
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convert_transcriptions(args.reference, args.generated, args.output)
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@ -1,33 +0,0 @@
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|||||||
#!/bin/bash
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||||||
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||||||
exp_dir="exp"
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data_dir="data"
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|
||||||
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||||||
source ${MAIN_ROOT}/utils/parse_options.sh || exit -1
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||||||
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||||||
archive=${data_dir}/"BZNSYP.rar"
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||||||
if [ ! -f ${archive} ]; then
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||||||
echo "Baker Dataset not found! Download it first to the data_dir."
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||||||
exit -1
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|
||||||
fi
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||||||
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|
||||||
MD5='c4350563bf7dc298f7dd364b2607be83'
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|
||||||
md5_result=$(md5sum ${archive} | awk -F[' '] '{print $1}')
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|
||||||
if [ ${md5_result} != ${MD5} ]; then
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|
||||||
echo "MD5 mismatch! The Archive has been changed."
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|
||||||
exit -1
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||||||
fi
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||||||
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||||||
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|
||||||
label_file='ProsodyLabeling/000001-010000.txt'
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||||||
filename='000001-010000.txt'
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||||||
unrar e ${archive} ${label_file}
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||||||
cp ${filename} ${exp_dir}
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||||||
rm -f ${filename}
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|
||||||
|
|
||||||
if [ ! -f ${exp_dir}/${filename} ];then
|
|
||||||
echo "File extraction failed!"
|
|
||||||
exit
|
|
||||||
fi
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|
||||||
|
|
||||||
exit 0
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|
||||||
@ -1,8 +0,0 @@
|
|||||||
export MAIN_ROOT=`realpath ${PWD}/../../../../`
|
|
||||||
|
|
||||||
export PATH=${MAIN_ROOT}:${MAIN_ROOT}/utils:${PATH}
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|
||||||
export LC_ALL=C
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|
||||||
|
|
||||||
# Use UTF-8 in Python to avoid UnicodeDecodeError when LC_ALL=C
|
|
||||||
export PYTHONIOENCODING=UTF-8
|
|
||||||
export PYTHONPATH=${MAIN_ROOT}:${PYTHONPATH}
|
|
||||||
@ -1 +0,0 @@
|
|||||||
jieba
|
|
||||||
@ -1,37 +0,0 @@
|
|||||||
#!/usr/bin/env bash
|
|
||||||
|
|
||||||
source path.sh
|
|
||||||
|
|
||||||
stage=-1
|
|
||||||
stop_stage=100
|
|
||||||
|
|
||||||
exp_dir=exp
|
|
||||||
data=data
|
|
||||||
|
|
||||||
source ${MAIN_ROOT}/utils/parse_options.sh || exit -1
|
|
||||||
|
|
||||||
mkdir -p ${exp_dir}
|
|
||||||
|
|
||||||
if [ $stage -le -1 ] && [ $stop_stage -ge -1 ];then
|
|
||||||
mkdir -p ${data}
|
|
||||||
test -e ${data}/BZNSYP.rar || { echo "Please download BZNSYP.rar and put it in "${data}; exit -1; }
|
|
||||||
fi
|
|
||||||
|
|
||||||
if [ $stage -le 0 ] && [ $stop_stage -ge 0 ];then
|
|
||||||
echo "stage 0: Extracting Prosody Labeling"
|
|
||||||
bash local/prepare_dataset.sh --exp-dir ${exp_dir} --data-dir ${data}
|
|
||||||
fi
|
|
||||||
|
|
||||||
# convert transcription in chinese into pinyin with pypinyin or jieba+pypinyin
|
|
||||||
filename="000001-010000.txt"
|
|
||||||
|
|
||||||
if [ $stage -le 1 ] && [ $stop_stage -ge 1 ]; then
|
|
||||||
echo "stage 1: Processing transcriptions..."
|
|
||||||
python3 local/extract_pinyin_label.py ${exp_dir}/${filename} ${exp_dir}/ref.pinyin
|
|
||||||
|
|
||||||
python3 local/convert_transcription.py ${exp_dir}/${filename} ${exp_dir}/trans.pinyin
|
|
||||||
python3 local/convert_transcription.py --use-jieba ${exp_dir}/${filename} ${exp_dir}/trans.jieba.pinyin
|
|
||||||
fi
|
|
||||||
|
|
||||||
echo "done"
|
|
||||||
exit 0
|
|
||||||
@ -1 +0,0 @@
|
|||||||
exp
|
|
||||||
@ -1,29 +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 argparse
|
|
||||||
|
|
||||||
from text_processing import normalization
|
|
||||||
|
|
||||||
parser = argparse.ArgumentParser(
|
|
||||||
description="Normalize text in Chinese with some rules.")
|
|
||||||
parser.add_argument("input", type=str, help="the input sentences")
|
|
||||||
parser.add_argument("output", type=str, help="path to save the output file.")
|
|
||||||
args = parser.parse_args()
|
|
||||||
|
|
||||||
with open(args.input, 'rt') as fin:
|
|
||||||
with open(args.output, 'wt') as fout:
|
|
||||||
for sent in fin:
|
|
||||||
sent = normalization.normalize_sentence(sent.strip())
|
|
||||||
fout.write(sent)
|
|
||||||
fout.write('\n')
|
|
||||||
@ -1,8 +0,0 @@
|
|||||||
export MAIN_ROOT=`realpath ${PWD}/../../../`
|
|
||||||
|
|
||||||
export PATH=${MAIN_ROOT}:${MAIN_ROOT}/utils:${PATH}
|
|
||||||
export LC_ALL=C
|
|
||||||
|
|
||||||
# Use UTF-8 in Python to avoid UnicodeDecodeError when LC_ALL=C
|
|
||||||
export PYTHONIOENCODING=UTF-8
|
|
||||||
export PYTHONPATH=${MAIN_ROOT}:${MAIN_ROOT}/third_party:${PYTHONPATH}#
|
|
||||||
@ -1,26 +0,0 @@
|
|||||||
#!/usr/bin/env bash
|
|
||||||
source path.sh
|
|
||||||
|
|
||||||
stage=-1
|
|
||||||
stop_stage=100
|
|
||||||
|
|
||||||
exp_dir=exp
|
|
||||||
data_dir=data
|
|
||||||
filename="sentences.txt"
|
|
||||||
|
|
||||||
source ${MAIN_ROOT}/utils/parse_options.sh || exit -1
|
|
||||||
|
|
||||||
mkdir -p ${exp_dir}
|
|
||||||
|
|
||||||
|
|
||||||
if [ $stage -le 1 ] && [ $stop_stage -ge 1 ]; then
|
|
||||||
echo "stage 1: Processing "
|
|
||||||
python3 local/test_normalization.py ${data_dir}/${filename} ${exp_dir}/normalized.txt
|
|
||||||
if [ -f "${exp_dir}/normalized.txt" ]; then
|
|
||||||
echo "Normalized text save at ${exp_dir}/normalized.txt"
|
|
||||||
fi
|
|
||||||
# TODO(chenfeiyu): compute edit distance against ground-truth
|
|
||||||
fi
|
|
||||||
|
|
||||||
echo "done"
|
|
||||||
exit 0
|
|
||||||
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Reference in new issue