Fix black

egs/wenetspeech/ASR/local/prepare_dataset_from_kaldi_dir.py

@@ -21,7 +21,14 @@ import logging
 import torch
 import lhotse
 from pathlib import Path
-from lhotse import CutSet, Fbank, FbankConfig, LilcomChunkyWriter, fix_manifests, validate_recordings_and_supervisions
+from lhotse import (
+    CutSet,
+    Fbank,
+    FbankConfig,
+    LilcomChunkyWriter,
+    fix_manifests,
+    validate_recordings_and_supervisions,
+)
 from icefall.utils import get_executor, str2bool
 
 # Torch's multithreaded behavior needs to be disabled or
@@ -31,6 +38,7 @@ from icefall.utils import get_executor, str2bool
 torch.set_num_threads(1)
 torch.set_num_interop_threads(1)
 
+
 def get_args():
     parser = argparse.ArgumentParser()
 
@@ -79,10 +87,7 @@ def get_args():
     )
 
     parser.add_argument(
-        "--num-jobs",
-        type=int,
-        default=50,
-        help="The num of jobs to extract feature."
+        "--num-jobs", type=int, default=50, help="The num of jobs to extract feature."
     )
 
     return parser.parse_args()
@@ -109,11 +114,7 @@ def compute_feature(args, cuts):
         if "train" in args.partition:
             if args.perturb_speed:
                 logging.info(f"Doing speed perturb")
-                cuts = (
-                    cuts
-                    + cuts.perturb_speed(0.9)
-                    + cuts.perturb_speed(1.1)
-                )
+                cuts = cuts + cuts.perturb_speed(0.9) + cuts.perturb_speed(1.1)
         cuts = cuts.compute_and_store_features(
             extractor=extractor,
             storage_path=f"{args.output_dir}/{args.dataset}_feats_{args.partition}",
@@ -132,7 +133,7 @@ def main(args):
     compute_feature(args, cuts)
 
 
-if __name__ == '__main__':
+if __name__ == "__main__":
     formatter = "%(asctime)s %(levelname)s [%(filename)s:%(lineno)d] %(message)s"
 
     logging.basicConfig(format=formatter, level=logging.INFO)