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Update quality tooling for formatting (#21480)

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* Result of black 23.1

* Update target to Python 3.7

* Switch flake8 to ruff

* Configure isort

* Configure isort

* Apply isort with line limit

* Put the right black version

* adapt black in check copies

* Fix copies
This commit is contained in:
Sylvain Gugger
2023-02-06 18:10:56 -05:00
committed by GitHub
parent b7bb2b59f7
commit 6f79d26442
1211 changed files with 1532 additions and 2687 deletions
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1
tests/models/layoutlmv3/test_image_processing_layoutlmv3.py
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@@ -64,7 +64,6 @@ class LayoutLMv3ImageProcessingTester(unittest.TestCase):
@require_torch
@require_pytesseract
class LayoutLMv3ImageProcessingTest(ImageProcessingSavingTestMixin, unittest.TestCase):
image_processing_class = LayoutLMv3ImageProcessor if is_pytesseract_available() else None
def setUp(self):

1
tests/models/layoutlmv3/test_modeling_layoutlmv3.py
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@@ -270,7 +270,6 @@ class LayoutLMv3ModelTester:
@require_torch
class LayoutLMv3ModelTest(ModelTesterMixin, unittest.TestCase):
test_pruning = False
test_torchscript = False
test_mismatched_shapes = False

1
tests/models/layoutlmv3/test_modeling_tf_layoutlmv3.py
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@@ -264,7 +264,6 @@ class TFLayoutLMv3ModelTester:
@require_tf
class TFLayoutLMv3ModelTest(TFModelTesterMixin, unittest.TestCase):
all_model_classes = (
(
TFLayoutLMv3Model,

8
tests/models/layoutlmv3/test_tokenization_layoutlmv3.py
View File

@@ -171,7 +171,6 @@ class LayoutLMv3TokenizationTest(TokenizerTesterMixin, unittest.TestCase):
tokenizers: List[LayoutLMv3Tokenizer] = self.get_tokenizers(do_lower_case=False)
for tokenizer in tokenizers:
with self.subTest(f"{tokenizer.__class__.__name__}"):
special_token = "[SPECIAL_TOKEN]"
special_token_box = [1000, 1000, 1000, 1000]
@@ -406,7 +405,6 @@ class LayoutLMv3TokenizationTest(TokenizerTesterMixin, unittest.TestCase):
tokenizers = self.get_tokenizers(do_lower_case=False)
for tokenizer in tokenizers:
with self.subTest(f"{tokenizer.__class__.__name__}"):
# test 1: single sequence
words, boxes = self.get_words_and_boxes()
@@ -1075,7 +1073,6 @@ class LayoutLMv3TokenizationTest(TokenizerTesterMixin, unittest.TestCase):
tokenizers = self.get_tokenizers()
for tokenizer in tokenizers:
with self.subTest(f"{tokenizer.__class__.__name__}"):
# test 1: single sequence
words, boxes = self.get_words_and_boxes()
@@ -1161,7 +1158,6 @@ class LayoutLMv3TokenizationTest(TokenizerTesterMixin, unittest.TestCase):
tokenizers = self.get_tokenizers(do_lower_case=False)
for tokenizer in tokenizers:
with self.subTest(f"{tokenizer.__class__.__name__}"):
if tokenizer.__class__ not in MODEL_TOKENIZER_MAPPING:
return
@@ -1429,7 +1425,6 @@ class LayoutLMv3TokenizationTest(TokenizerTesterMixin, unittest.TestCase):
def test_special_tokens_initialization(self):
for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"):
added_tokens = [AddedToken("<special>", lstrip=True)]
tokenizer_r = self.rust_tokenizer_class.from_pretrained(
@@ -1665,7 +1660,6 @@ class LayoutLMv3TokenizationTest(TokenizerTesterMixin, unittest.TestCase):
tokenizer = self.rust_tokenizer_class.from_pretrained(pretrained_name, **kwargs)
with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name}, {tokenizer.__class__.__name__})"):
if is_torch_available():
returned_tensor = "pt"
elif is_tf_available():
@@ -1756,7 +1750,6 @@ class LayoutLMv3TokenizationTest(TokenizerTesterMixin, unittest.TestCase):
return words, boxes, output_ids
def test_added_token_with_space_before(self):
tokenizer_s = self.get_tokenizer()
tokenizer_f = self.get_rust_tokenizer()
@@ -2316,7 +2309,6 @@ class LayoutLMv3TokenizationTest(TokenizerTesterMixin, unittest.TestCase):
@slow
def test_layoutlmv3_integration_test(self):
tokenizer_p = LayoutLMv3Tokenizer.from_pretrained("microsoft/layoutlmv3-base")
tokenizer_r = LayoutLMv3TokenizerFast.from_pretrained("microsoft/layoutlmv3-base")