Reformat code style with black.

egs/librispeech/ASR/conformer_ctc/conformer.py

@@ -1,7 +1,20 @@
 #!/usr/bin/env python3
-
 # Copyright (c)  2021  University of Chinese Academy of Sciences (author: Han Zhu)
-# Apache 2.0
+#
+# See ../../../../LICENSE for clarification regarding multiple authors
+#
+# 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 math
 import warnings

egs/librispeech/ASR/local/compute_fbank_librispeech.py

@@ -70,7 +70,8 @@ def compute_fbank_librispeech():
                 continue
             logging.info(f"Processing {partition}")
             cut_set = CutSet.from_manifests(
-                recordings=m["recordings"], supervisions=m["supervisions"],
+                recordings=m["recordings"],
+                supervisions=m["supervisions"],
             )
             if "train" in partition:
                 cut_set = (

icefall/bpe_graph_compiler.py

@@ -74,7 +74,9 @@ class BpeCtcTrainingGraphCompiler(object):
         return self.sp.encode(texts, out_type=int)
 
     def compile(
-        self, piece_ids: List[List[int]], modified: bool = False,
+        self,
+        piece_ids: List[List[int]],
+        modified: bool = False,
     ) -> k2.Fsa:
         """Build a ctc graph from a list-of-list piece IDs.
 

icefall/graph_compiler.py

@@ -25,7 +25,10 @@ from icefall.lexicon import Lexicon
 
 class CtcTrainingGraphCompiler(object):
     def __init__(
-        self, lexicon: Lexicon, device: torch.device, oov: str = "<UNK>",
+        self,
+        lexicon: Lexicon,
+        device: torch.device,
+        oov: str = "<UNK>",
     ):
         """
         Args: