Update quality tooling for formatting (#21480)
* 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
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@@ -24,6 +24,7 @@ from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, rando
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if is_flax_available():
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import jax.numpy as jnp
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from transformers.models.roformer.modeling_flax_roformer import (
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FlaxRoFormerForMaskedLM,
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FlaxRoFormerForMultipleChoice,
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@@ -116,7 +117,6 @@ class FlaxRoFormerModelTester(unittest.TestCase):
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@require_flax
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class FlaxRoFormerModelTest(FlaxModelTesterMixin, unittest.TestCase):
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test_head_masking = True
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all_model_classes = (
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@@ -361,7 +361,6 @@ class RoFormerModelTester:
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@require_torch
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class RoFormerModelTest(ModelTesterMixin, unittest.TestCase):
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all_model_classes = (
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(
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RoFormerModel,
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@@ -491,7 +490,6 @@ class RoFormerSinusoidalPositionalEmbeddingTest(unittest.TestCase):
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)
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def test_positional_emb_weights_against_roformer(self):
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desired_weights = torch.tensor(
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[
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[0.0000, 0.0000, 0.0000, 0.0000, 0.0000],
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@@ -240,7 +240,6 @@ class TFRoFormerModelTester:
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@require_tf
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class TFRoFormerModelTest(TFModelTesterMixin, unittest.TestCase):
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all_model_classes = (
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(
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TFRoFormerModel,
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@@ -344,7 +343,6 @@ class TFRoFormerSinusoidalPositionalEmbeddingTest(unittest.TestCase):
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tf.debugging.assert_near(emb, desired_weights, atol=self.tolerance)
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def test_positional_emb_weights_against_roformer(self):
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desired_weights = tf.constant(
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[
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[0.0000, 0.0000, 0.0000, 0.0000, 0.0000],
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@@ -24,7 +24,6 @@ from ...test_tokenization_common import TokenizerTesterMixin
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@require_rjieba
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@require_tokenizers
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class RoFormerTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
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tokenizer_class = RoFormerTokenizer
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rust_tokenizer_class = RoFormerTokenizerFast
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space_between_special_tokens = True
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