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fix style
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parent
cbad2311a8
commit
675ae1334d
1
.flake8
1
.flake8
@ -5,6 +5,7 @@ max-line-length = 80
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per-file-ignores =
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per-file-ignores =
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# line too long
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# line too long
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egs/librispeech/ASR/*/conformer.py: E501,
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egs/librispeech/ASR/*/conformer.py: E501,
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egs/aishell/ASR/*/conformer.py: E501,
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exclude =
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exclude =
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.git,
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.git,
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@ -107,4 +107,3 @@ if __name__ == "__main__":
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args = get_args()
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args = get_args()
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compute_fbank_aishell(num_mel_bins=args.num_mel_bins)
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compute_fbank_aishell(num_mel_bins=args.num_mel_bins)
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@ -87,6 +87,7 @@ def compute_fbank_musan(num_mel_bins: int = 80):
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)
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)
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musan_cuts.to_json(musan_cuts_path)
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musan_cuts.to_json(musan_cuts_path)
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def get_args():
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def get_args():
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parser = argparse.ArgumentParser()
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parser = argparse.ArgumentParser()
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parser.add_argument(
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parser.add_argument(
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@ -33,10 +33,9 @@ and generates the following files in the directory `lang_dir`:
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- tokens.txt
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- tokens.txt
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"""
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"""
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import argparse
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import re
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import re
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from pathlib import Path
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from pathlib import Path
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from typing import Dict, List, Tuple
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from typing import Dict, List
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import k2
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import k2
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import torch
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import torch
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@ -903,4 +903,3 @@ def rescore_with_attention_decoder(
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key = f"ngram_lm_scale_{n_scale}_attention_scale_{a_scale}"
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key = f"ngram_lm_scale_{n_scale}_attention_scale_{a_scale}"
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ans[key] = best_path
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ans[key] = best_path
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return ans
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return ans
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