format code

paddlespeech/s2t/exps/u2/model.py

@@ -575,10 +575,10 @@ class U2Tester(U2Trainer):
 
     @paddle.no_grad()
     def align(self):
-        ctc_utils.ctc_align(self.config,
-            self.model, self.align_loader, self.config.decoding.batch_size,
-            self.config.collator.stride_ms,
-            self.vocab_list, self.args.result_file)
+        ctc_utils.ctc_align(self.config, self.model, self.align_loader,
+                            self.config.decoding.batch_size,
+                            self.config.collator.stride_ms, self.vocab_list,
+                            self.args.result_file)
 
     def load_inferspec(self):
         """infer model and input spec.

paddlespeech/s2t/exps/u2_kaldi/model.py

@@ -528,10 +528,10 @@ class U2Tester(U2Trainer):
 
     @paddle.no_grad()
     def align(self):
-        ctc_utils.ctc_align(self.config,
-            self.model, self.align_loader, self.config.decoding.batch_size,
-            self.config.collator.stride_ms,
-            self.vocab_list, self.args.result_file)
+        ctc_utils.ctc_align(self.config, self.model, self.align_loader,
+                            self.config.decoding.batch_size,
+                            self.config.collator.stride_ms, self.vocab_list,
+                            self.args.result_file)
 
     def load_inferspec(self):
         """infer model and input spec.

paddlespeech/s2t/exps/u2_st/model.py

@@ -543,10 +543,10 @@ class U2STTester(U2STTrainer):
 
     @paddle.no_grad()
     def align(self):
-        ctc_utils.ctc_align(self.config,
-            self.model, self.align_loader, self.config.decoding.batch_size,
-            self.config.collator.stride_ms,
-            self.vocab_list, self.args.result_file)
+        ctc_utils.ctc_align(self.config, self.model, self.align_loader,
+                            self.config.decoding.batch_size,
+                            self.config.collator.stride_ms, self.vocab_list,
+                            self.args.result_file)
 
     def load_inferspec(self):
         """infer model and input spec.

paddlespeech/s2t/transform/cmvn.py

@@ -14,10 +14,12 @@
 # Modified from espnet(https://github.com/espnet/espnet)
 import io
 import json
+
 import h5py
 import kaldiio
 import numpy as np
 
+
 class CMVN():
     "Apply Global/Spk CMVN/iverserCMVN."
 
@@ -158,11 +160,14 @@ class UtteranceCMVN():
         return x
 
 
-
 class GlobalCMVN():
     "Apply Global CMVN"
 
-    def __init__(self, cmvn_path, norm_means=True, norm_vars=True, std_floor=1.0e-20):
+    def __init__(self,
+                 cmvn_path,
+                 norm_means=True,
+                 norm_vars=True,
+                 std_floor=1.0e-20):
         self.cmvn_path = cmvn_path
         self.norm_means = norm_means
         self.norm_vars = norm_vars
@@ -189,4 +194,4 @@ class GlobalCMVN():
 
         if self.norm_vars:
             x = np.divide(x, self.std)
-        return x
+        return x

paddlespeech/s2t/transform/perturb.py

@@ -17,6 +17,7 @@ import numpy
 import scipy
 import soundfile
 import soxbindings as sox
+
 from paddlespeech.s2t.io.reader import SoundHDF5File
 
 
@@ -171,6 +172,7 @@ class SpeedPerturbationSox():
                 upper={self.upper}, 
                 keep_length={self.keep_length},
                 sample_rate={self.sr})"""
+
         else:
             return f"""{self.__class__.__name__}(
                 utt2ratio={self.utt2ratio_file},

paddlespeech/s2t/transform/transformation.py

@@ -46,8 +46,7 @@ import_alias = dict(
     wpe="paddlespeech.s2t.transform.wpe:WPE",
     channel_selector="paddlespeech.s2t.transform.channel_selector:ChannelSelector",
     fbank_kaldi="paddlespeech.s2t.transform.spectrogram:LogMelSpectrogramKaldi",
-    cmvn_json="paddlespeech.s2t.transform.cmvn:GlobalCMVN"
-)
+    cmvn_json="paddlespeech.s2t.transform.cmvn:GlobalCMVN")
 
 
 class Transformation():

paddlespeech/s2t/utils/ctc_utils.py

@@ -12,8 +12,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # Modified from wenet(https://github.com/wenet-e2e/wenet)
-from typing import List
 from pathlib import Path
+from typing import List
+
 import numpy as np
 import paddle
 

utils/remove_longshortdata.py

@@ -1,7 +1,8 @@
 #!/usr/bin/env python3
 """remove longshort data from manifest"""
-import logging
 import argparse
+import logging
+
 import jsonlines
 
 from paddlespeech.s2t.utils.cli_utils import get_commandline_args
@@ -23,17 +24,19 @@ def get_parser():
     parser.add_argument(
         "--verbose", "-V", default=0, type=int, help="Verbose option")
     parser.add_argument(
-        "--iaxis", default=0, type=int, help="multi inputs index, 0 is the first")
-    parser.add_argument(
-        "--oaxis", default=0, type=int, help="multi outputs index, 0 is the first")
-    parser.add_argument(
-        "--maxframes", default=2000, type=int, help="maxframes")
-    parser.add_argument(
-        "--minframes", default=10, type=int, help="minframes")
+        "--iaxis",
+        default=0,
+        type=int,
+        help="multi inputs index, 0 is the first")
     parser.add_argument(
-        "--maxchars", default=200, type=int, help="max tokens")
-    parser.add_argument(
-        "--minchars", default=0, type=int, help="min tokens")
+        "--oaxis",
+        default=0,
+        type=int,
+        help="multi outputs index, 0 is the first")
+    parser.add_argument("--maxframes", default=2000, type=int, help="maxframes")
+    parser.add_argument("--minframes", default=10, type=int, help="minframes")
+    parser.add_argument("--maxchars", default=200, type=int, help="max tokens")
+    parser.add_argument("--minchars", default=0, type=int, help="min tokens")
     parser.add_argument(
         "--stride_ms", default=10, type=int, help="stride in ms unit.")
     parser.add_argument(
@@ -54,7 +57,7 @@ def filter_input(args, line):
         nframe = tmp['shape'][0] * 1000 / args.stride_ms
     else:
         nframe = tmp['shape'][0]
-   
+
     if nframe < args.minframes or nframe > args.maxframes:
         return True
     else:
@@ -67,7 +70,7 @@ def filter_output(args, line):
         return True
     else:
         return False
-    
+
 
 def main():
     args = get_parser().parse_args()
@@ -78,15 +81,15 @@ def main():
     else:
         logging.basicConfig(level=logging.WARN, format=logfmt)
     logging.info(get_commandline_args())
-    
+
     with jsonlines.open(args.rspecifier, 'r') as reader:
         lines = list(reader)
     logging.info(f"Example: {len(lines)}")
     feat = lines[0]['input'][args.iaxis]['feat']
-    args.soud  = False
+    args.soud = False
     if feat.split('.')[-1] not in 'ark, scp':
         args.sound = True
-    
+
     count = 0
     filter = 0
     with jsonlines.open(args.wspecifier_or_wxfilename, 'w') as writer:
@@ -98,5 +101,6 @@ def main():
             count += 1
     logging.info(f"Example after filter: {count}\{filter}")
 
+
 if __name__ == '__main__':
-    main()
+    main()