SUMIN/HuggingFace_transformer
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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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2
tests/models/grounding_dino/test_modeling_grounding_dino.py
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@@ -763,7 +763,7 @@ class GroundingDinoModelIntegrationTests(unittest.TestCase):
gpu_outputs = model(**encoding)
# 3. assert equivalence
for key in cpu_outputs.keys():
for key in cpu_outputs:
torch.testing.assert_close(cpu_outputs[key], gpu_outputs[key].cpu(), rtol=1e-3, atol=1e-3)
expected_logits = torch.tensor(

4
tests/models/grounding_dino/test_processor_grounding_dino.py
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@@ -206,7 +206,7 @@ class GroundingDinoProcessorTest(ProcessorTesterMixin, unittest.TestCase):
input_image_proc = image_processor(image_input, return_tensors="np")
input_processor = processor(images=image_input, return_tensors="np")
for key in input_image_proc.keys():
for key in input_image_proc:
self.assertAlmostEqual(input_image_proc[key].sum(), input_processor[key].sum(), delta=1e-2)
# Copied from tests.models.clip.test_processor_clip.CLIPProcessorTest.test_tokenizer with CLIP->GroundingDino
@@ -222,7 +222,7 @@ class GroundingDinoProcessorTest(ProcessorTesterMixin, unittest.TestCase):
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_processor(self):