List only one item par line in __all__ (#1250)

torchaudio/__init__.py

-from . import extension
-from torchaudio._internal import module_utils as _mod_utils
+from . import extension  # noqa: F401
+from torchaudio._internal import module_utils as _mod_utils  # noqa: F401
 from torchaudio import (
     compliance,
     datasets,
@@ -31,8 +31,23 @@ try:
 except ImportError:
     pass
 
-__all__ = ['extension', '_mod_utils', 'compliance', 'datasets', 'functional', 'kaldi_io',
-           'utils', 'sox_effects', 'transforms', 'list_audio_backends',
-           'get_audio_backend', 'set_audio_backend', 'save_encinfo', 'sox_signalinfo_t',
-           'sox_encodinginfo_t', 'get_sox_option_t', 'get_sox_encoding_t',
-           'get_sox_bool', 'SignalInfo', 'EncodingInfo']
+__all__ = [
+    'compliance',
+    'datasets',
+    'functional',
+    'kaldi_io',
+    'utils',
+    'sox_effects',
+    'transforms',
+    'list_audio_backends',
+    'get_audio_backend',
+    'set_audio_backend',
+    'save_encinfo',
+    'sox_signalinfo_t',
+    'sox_encodinginfo_t',
+    'get_sox_option_t',
+    'get_sox_encoding_t',
+    'get_sox_bool',
+    'SignalInfo',
+    'EncodingInfo',
+]

torchaudio/compliance/__init__.py

 from . import kaldi
 
-__all__ = ['kaldi']
+__all__ = [
+    'kaldi',
+]

torchaudio/datasets/__init__.py

@@ -10,7 +10,7 @@ from .cmuarctic import CMUARCTIC
 from .libritts import LIBRITTS
 from .tedlium import TEDLIUM
 
-__all__ = (
+__all__ = [
     "COMMONVOICE",
     "LIBRISPEECH",
     "SPEECHCOMMANDS",
@@ -24,4 +24,4 @@ __all__ = (
     "diskcache_iterator",
     "bg_iterator",
     "TEDLIUM",
-)
+]

torchaudio/functional/__init__.py

@@ -42,10 +42,44 @@ from .filtering import (
     vad,
 )
 
-__all__ = ['amplitude_to_DB', 'angle', 'complex_norm', 'compute_deltas', 'create_dct',
-           'create_fb_matrix', 'DB_to_amplitude', 'detect_pitch_frequency', 'griffinlim', 'magphase',
-           'mask_along_axis', 'mask_along_axis_iid', 'mu_law_encoding', 'mu_law_decoding', 'phase_vocoder',
-           'sliding_window_cmn', 'spectrogram', 'spectral_centroid', 'allpass_biquad', 'band_biquad',
-           'bandpass_biquad', 'bandreject_biquad', 'bass_biquad', 'biquad', 'contrast', 'dither',
-           'dcshift', 'deemph_biquad', 'equalizer_biquad', 'flanger', 'gain', 'highpass_biquad',
-           'lfilter', 'lowpass_biquad', 'overdrive', 'phaser', 'riaa_biquad', 'treble_biquad', 'vad']
+__all__ = [
+    'amplitude_to_DB',
+    'angle',
+    'complex_norm',
+    'compute_deltas',
+    'create_dct',
+    'create_fb_matrix',
+    'DB_to_amplitude',
+    'detect_pitch_frequency',
+    'griffinlim',
+    'magphase',
+    'mask_along_axis',
+    'mask_along_axis_iid',
+    'mu_law_encoding',
+    'mu_law_decoding',
+    'phase_vocoder',
+    'sliding_window_cmn',
+    'spectrogram',
+    'spectral_centroid',
+    'allpass_biquad',
+    'band_biquad',
+    'bandpass_biquad',
+    'bandreject_biquad',
+    'bass_biquad',
+    'biquad',
+    'contrast',
+    'dither',
+    'dcshift',
+    'deemph_biquad',
+    'equalizer_biquad',
+    'flanger',
+    'gain',
+    'highpass_biquad',
+    'lfilter',
+    'lowpass_biquad',
+    'overdrive',
+    'phaser',
+    'riaa_biquad',
+    'treble_biquad',
+    'vad',
+]

torchaudio/models/__init__.py

@@ -2,4 +2,8 @@ from .wav2letter import Wav2Letter
 from .wavernn import WaveRNN
 from .conv_tasnet import ConvTasNet
 
-__all__ = ['Wav2Letter', 'WaveRNN', 'ConvTasNet']
+__all__ = [
+    'Wav2Letter',
+    'WaveRNN',
+    'ConvTasNet',
+]

torchaudio/models/wav2letter.py

 from torch import Tensor
 from torch import nn
 
-__all__ = ["Wav2Letter"]
+__all__ = [
+    "Wav2Letter",
+]
 
 
 class Wav2Letter(nn.Module):

torchaudio/models/wavernn.py

@@ -4,7 +4,13 @@ import torch
 from torch import Tensor
 from torch import nn
 
-__all__ = ["ResBlock", "MelResNet", "Stretch2d", "UpsampleNetwork", "WaveRNN"]
+__all__ = [
+    "ResBlock",
+    "MelResNet",
+    "Stretch2d",
+    "UpsampleNetwork",
+    "WaveRNN",
+]
 
 
 class ResBlock(nn.Module):

torchaudio/prototype/transducer.py

@@ -5,7 +5,10 @@ from torchaudio._internal import (
     module_utils as _mod_utils,
 )
 
-__all__ = ["rnnt_loss", "RNNTLoss"]
+__all__ = [
+    "rnnt_loss",
+    "RNNTLoss",
+]
 
 
 class _RNNT(Function):

torchaudio/sox_effects/__init__.py

@@ -13,4 +13,10 @@ if _mod_utils.is_module_available('torchaudio._torchaudio'):
     init_sox_effects()
     atexit.register(shutdown_sox_effects)
 
-__all__ = ['init_sox_effects', 'shutdown_sox_effects', 'effect_names', 'apply_effects_tensor', 'apply_effects_file']
+__all__ = [
+    'init_sox_effects',
+    'shutdown_sox_effects',
+    'effect_names',
+    'apply_effects_tensor',
+    'apply_effects_file',
+]