Apply several ruff SIM rules (#37283)
* Apply ruff SIM118 fix Signed-off-by: cyy <cyyever@outlook.com> * Apply ruff SIM910 fix Signed-off-by: cyy <cyyever@outlook.com> * Apply ruff SIM101 fix Signed-off-by: cyy <cyyever@outlook.com> * Format code Signed-off-by: cyy <cyyever@outlook.com> * More fixes Signed-off-by: cyy <cyyever@outlook.com> --------- Signed-off-by: cyy <cyyever@outlook.com>
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@@ -154,7 +154,7 @@ class Wav2Vec2ProcessorWithLMTest(unittest.TestCase):
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input_feat_extract = feature_extractor(raw_speech, return_tensors="np")
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input_processor = processor(raw_speech, return_tensors="np")
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for key in input_feat_extract.keys():
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for key in input_feat_extract:
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self.assertAlmostEqual(input_feat_extract[key].sum(), input_processor[key].sum(), delta=1e-2)
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def test_another_feature_extractor(self):
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@@ -169,7 +169,7 @@ class Wav2Vec2ProcessorWithLMTest(unittest.TestCase):
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input_feat_extract = feature_extractor(raw_speech, return_tensors="np")
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input_processor = processor(raw_speech, return_tensors="np")
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for key in input_feat_extract.keys():
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for key in input_feat_extract:
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self.assertAlmostEqual(input_feat_extract[key].sum(), input_processor[key].sum(), delta=1e-2)
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self.assertListEqual(
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@@ -199,7 +199,7 @@ class Wav2Vec2ProcessorWithLMTest(unittest.TestCase):
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encoded_tok = tokenizer(input_str)
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for key in encoded_tok.keys():
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for key in encoded_tok:
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self.assertListEqual(encoded_tok[key], encoded_processor[key])
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def _get_dummy_logits(self, shape=(2, 10, 16), seed=77):
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@@ -394,7 +394,7 @@ class Wav2Vec2ProcessorWithLMTest(unittest.TestCase):
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input_wav2vec2 = processor_wav2vec2(raw_speech, return_tensors="np")
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input_auto = processor_auto(raw_speech, return_tensors="np")
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for key in input_wav2vec2.keys():
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for key in input_wav2vec2:
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self.assertAlmostEqual(input_wav2vec2[key].sum(), input_auto[key].sum(), delta=1e-2)
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logits = self._get_dummy_logits()
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