Fix flake8-bugbear lint errors (#505)

test/compliance/generate_fbank_data.py

@@ -10,7 +10,7 @@ import utils
 
 def run(exe_path, scp_path, out_dir, wave_len, num_outputs, remove_files, log_level):
     logging.basicConfig(level=log_level)
-    for i in range(num_outputs):
+    for _ in range(num_outputs):
         try:
             nyquist = 16000 // 2
             high_freq = random.randint(1, nyquist)

test/compliance/generate_test_stft_data.py

@@ -8,7 +8,7 @@ import utils
 
 def run(exe_path, scp_path, out_dir, wave_len, num_outputs, remove_files, log_level):
     logging.basicConfig(level=log_level)
-    for i in range(num_outputs):
+    for _ in range(num_outputs):
         inputs = {
             'blackman_coeff': '%.4f' % (random.random() * 5),
             'dither': '0',

test/test_datasets.py

@@ -46,7 +46,7 @@ class TestDatasets(unittest.TestCase):
         path = os.path.join(self.path, "commonvoice")
         data = COMMONVOICE(path, "train.tsv", "tatar")
         data = bg_iterator(data, 5)
-        for d in data:
+        for _ in data:
             pass
 
     def test_ljspeech(self):

test/test_transforms.py

@@ -24,7 +24,7 @@ class Tester(unittest.TestCase):
     test_filepath = os.path.join(test_dirpath, 'assets',
                                  'steam-train-whistle-daniel_simon.wav')
 
-    def scale(self, waveform, factor=float(2**31)):
+    def scale(self, waveform, factor=2.0**31):
         # scales a waveform by a factor
         if not waveform.is_floating_point():
             waveform = waveform.to(torch.get_default_dtype())

torchaudio/__init__.py

@@ -73,7 +73,7 @@ def load(filepath,
 
     """
 
-    return getattr(_get_audio_backend_module(), 'load')(
+    return _get_audio_backend_module().load(
         filepath,
         out=out,
         normalization=normalization,
@@ -116,7 +116,7 @@ def save(filepath, src, sample_rate, precision=16, channels_first=True):
             Default: ``True``)
     """
 
-    return getattr(_get_audio_backend_module(), 'save')(
+    return _get_audio_backend_module().save(
         filepath, src, sample_rate, precision=precision, channels_first=channels_first
     )
 
@@ -208,7 +208,7 @@ def info(filepath):
          >>> rate, channels, encoding = si.rate, si.channels, ei.encoding
      """
 
-    return getattr(_get_audio_backend_module(), 'info')(filepath)
+    return _get_audio_backend_module().info(filepath)
 
 
 @_audio_backend_guard("sox")