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Apply several ruff SIM rules (#37283)

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* 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>
This commit is contained in:
Yuanyuan Chen
2025-07-29 19:40:34 +08:00
committed by GitHub
parent cf97f6cfd1
commit 95faabf0a6
391 changed files with 762 additions and 788 deletions
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8
tests/models/speecht5/test_processor_speecht5.py
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@@ -122,7 +122,7 @@ class SpeechT5ProcessorTest(unittest.TestCase):
input_feat_extract = feature_extractor(audio=raw_speech, return_tensors="np")
input_processor = processor(audio=raw_speech, return_tensors="np")
for key in input_feat_extract.keys():
for key in input_feat_extract:
self.assertAlmostEqual(input_feat_extract[key].sum(), input_processor[key].sum(), delta=1e-2)
def test_feature_extractor_target(self):
@@ -136,7 +136,7 @@ class SpeechT5ProcessorTest(unittest.TestCase):
input_feat_extract = feature_extractor(audio_target=raw_speech, return_tensors="np")
input_processor = processor(audio_target=raw_speech, return_tensors="np")
for key in input_feat_extract.keys():
for key in input_feat_extract:
self.assertAlmostEqual(input_feat_extract[key].sum(), input_processor[key].sum(), delta=1e-2)
def test_tokenizer(self):
@@ -150,7 +150,7 @@ class SpeechT5ProcessorTest(unittest.TestCase):
encoded_processor = processor(text=input_str)
encoded_tok = tokenizer(input_str)
for key in encoded_tok.keys():
for key in encoded_tok:
self.assertListEqual(encoded_tok[key], encoded_processor[key])
def test_tokenizer_target(self):
@@ -164,7 +164,7 @@ class SpeechT5ProcessorTest(unittest.TestCase):
encoded_processor = processor(text_target=input_str)
encoded_tok = tokenizer(input_str)
for key in encoded_tok.keys():
for key in encoded_tok:
self.assertListEqual(encoded_tok[key], encoded_processor[key])
def test_tokenizer_decode(self):