64 duplicated lines in:
  - benchmarks/rnnt/ootb/inference/pytorch/parts/text/numbers.py (23:101, 100%)
  - benchmarks/rnnt/ootb/train/common/text/numbers.py (23:99, 100%)

50 duplicated lines in:
  - benchmarks/rnnt/ootb/inference/pytorch/parts/text/cleaners.py (20:89, 79%)
  - benchmarks/rnnt/ootb/train/common/text/cleaners.py (20:83, 96%)

44 duplicated lines in:
  - benchmarks/rnnt/ootb/inference/pytorch/parts/segment.py (107:170, 44%)
  - benchmarks/rnnt/ootb/train/common/audio.py (118:184, 36%)

37 duplicated lines in:
  - benchmarks/rnnt/ootb/inference/pytorch/parts/segment.py (34:81, 37%)
  - benchmarks/rnnt/ootb/train/common/audio.py (68:116, 30%)

30 duplicated lines in:
  - benchmarks/rnnt/ootb/inference/pytorch/utils/download_librispeech.py (25:60, 65%)
  - benchmarks/rnnt/ootb/train/utils/download_librispeech.py (24:59, 71%)

24 duplicated lines in:
  - benchmarks/rnnt/ootb/inference/pytorch/utils/preprocessing_utils.py (48:77, 57%)
  - benchmarks/rnnt/ootb/train/utils/preprocessing_utils.py (47:76, 58%)

23 duplicated lines in:
  - benchmarks/rnnt/ootb/inference/pytorch/utils/download_utils.py (24:52, 62%)
  - benchmarks/rnnt/ootb/train/utils/download_utils.py (23:51, 62%)

21 duplicated lines in:
  - benchmarks/rnnt/ootb/inference/pytorch/utils/convert_librispeech.py (35:58, 44%)
  - benchmarks/rnnt/ootb/train/utils/convert_librispeech.py (35:57, 44%)

17 duplicated lines in:
  - benchmarks/rnnt/ootb/inference/pytorch/utils/convert_librispeech.py (60:82, 36%)
  - benchmarks/rnnt/ootb/train/utils/convert_librispeech.py (59:81, 36%)

16 duplicated lines in:
  - benchmarks/rnnt/ootb/inference/pytorch/utils/preprocessing_utils.py (26:45, 38%)
  - benchmarks/rnnt/ootb/train/utils/preprocessing_utils.py (26:45, 39%)

14 duplicated lines in:
  - benchmarks/rnnt/ootb/inference/pytorch/model_separable_rnnt.py (187:214, 10%)
  - benchmarks/rnnt/ootb/train/rnnt/model.py (248:275, 9%)

14 duplicated lines in:
  - benchmarks/rnnt/ootb/inference/pytorch/metrics.py (21:37, 43%)
  - benchmarks/rnnt/ootb/train/common/metrics.py (19:35, 41%)

13 duplicated lines in:
  - benchmarks/rnnt/ootb/inference/pytorch/utils/download_utils.py (54:69, 35%)
  - benchmarks/rnnt/ootb/train/utils/download_utils.py (53:68, 35%)

13 duplicated lines in:
  - benchmarks/rnnt/ootb/inference/pytorch/parts/features.py (99:113, 8%)
  - benchmarks/rnnt/ootb/train/common/data/features.py (180:195, 7%)

10 duplicated lines in:
  - benchmarks/rnnt/ootb/inference/pytorch/utils/download_librispeech.py (65:76, 21%)
  - benchmarks/rnnt/ootb/train/utils/download_librispeech.py (61:72, 23%)

10 duplicated lines in:
  - benchmarks/rnnt/ootb/inference/pytorch/parts/segment.py (95:104, 10%)
  - benchmarks/rnnt/ootb/train/common/audio.py (57:66, 8%)

7 duplicated lines in:
  - benchmarks/rnnt/ootb/inference/pytorch/parts/text/__init__.py (6:12, 100%)
  - benchmarks/rnnt/ootb/train/common/text/__init__.py (7:13, 46%)

7 duplicated lines in:
  - benchmarks/rnnt/ootb/inference/pytorch/utils/convert_librispeech.py (27:33, 14%)
  - benchmarks/rnnt/ootb/train/utils/convert_librispeech.py (27:33, 14%)

7 duplicated lines in:
  - benchmarks/rnnt/ootb/inference/pytorch/rnn.py (65:71, 11%)
  - benchmarks/rnnt/ootb/train/common/rnn.py (67:73, 15%)

6 duplicated lines in:
  - benchmarks/rnnt/ootb/inference/pytorch/parts/manifest.py (65:78, 5%)
  - benchmarks/rnnt/ootb/train/common/text/__init__.py (18:31, 40%)

6 duplicated lines in:
  - benchmarks/rnnt/ootb/inference/pytorch/rnn.py (59:64, 10%)
  - benchmarks/rnnt/ootb/train/common/rnn.py (58:63, 13%)