


import argparse
from collections import defaultdict

import yaml


A	:		Any    =       'docs/source/en/_toctree.yml'






def 			UpperCamelCase (     __magic_name__					:							Any					)       ->  Any:
		"""simple docstring"""




		lowercase__					      =		defaultdict(__magic_name__					)
		lowercase__					      =		[]
		lowercase__					      =		[]
		for doc in doc_list:
				if "local" in doc:
						counts[doc["local"]] += 1

				if doc["title"].lower() == "overview":
						overview_doc.append({"""local""": doc["""local"""], """title""": doc["""title"""]}					)
				else:
						new_doc_list.append(__magic_name__					)

		lowercase__					      =		new_doc_list
		lowercase__					      =		[key for key, value in counts.items() if value > 1]

		lowercase__					      =		[]
		for duplicate_key in duplicates:
				lowercase__					      =		list({doc["""title"""] for doc in doc_list if doc["""local"""] == duplicate_key}					)
				if len(__magic_name__					) > 1:
						raise ValueError(
						    f'''{duplicate_key} is present several times in the documentation table of content at '''
						    """`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the """
						    """others."""					)
				# Only add this once
				new_doc.append({"""local""": duplicate_key, """title""": titles[0]}					)

		# Add none duplicate-keys
		new_doc.extend([doc for doc in doc_list if """local""" not in counts or counts[doc["""local"""]] == 1]					)
		lowercase__					      =		sorted(__magic_name__   ,   key=lambda __magic_name__					: s["title"].lower()					)

		# "overview" gets special treatment and is always first
		if len(__magic_name__					) > 1:
				raise ValueError("""{doc_list} has two 'overview' docs which is not allowed."""					)

		overview_doc.extend(__magic_name__					)

		# Sort
		return overview_doc






def 			UpperCamelCase (     __magic_name__					:							Dict=False					)       ->  Any:
		"""simple docstring"""




		with open(__magic_name__   ,   encoding="""utf-8"""					) as f:
				lowercase__					      =		yaml.safe_load(f.read()					)

		# Get to the API doc
		lowercase__					      =		0
		while content[api_idx]["title"] != "API":
				api_idx += 1
		lowercase__					      =		content[api_idx]["""sections"""]

		# Then to the model doc
		lowercase__					      =		0
		while api_doc[scheduler_idx]["title"] != "Schedulers":
				scheduler_idx += 1

		lowercase__					      =		api_doc[scheduler_idx]["""sections"""]
		lowercase__					      =		clean_doc_toc(__magic_name__					)

		lowercase__					      =		False
		if new_scheduler_doc != scheduler_doc:
				lowercase__					      =		True
				if overwrite:
						lowercase__					      =		new_scheduler_doc

		if diff:
				if overwrite:
						lowercase__					      =		api_doc
						with open(__magic_name__   ,   """w"""   ,   encoding="""utf-8"""					) as f:
								f.write(yaml.dump(__magic_name__   ,   allow_unicode=__magic_name__					)					)
				else:
						raise ValueError(
						    """The model doc part of the table of content is not properly sorted, run `make style` to fix this."""					)






def 			UpperCamelCase (     __magic_name__					:							Union[str, Any]=False					)       ->  Optional[Any]:
		"""simple docstring"""




		with open(__magic_name__   ,   encoding="""utf-8"""					) as f:
				lowercase__					      =		yaml.safe_load(f.read()					)

		# Get to the API doc
		lowercase__					      =		0
		while content[api_idx]["title"] != "API":
				api_idx += 1
		lowercase__					      =		content[api_idx]["""sections"""]

		# Then to the model doc
		lowercase__					      =		0
		while api_doc[pipeline_idx]["title"] != "Pipelines":
				pipeline_idx += 1

		lowercase__					      =		False
		lowercase__					      =		api_doc[pipeline_idx]["""sections"""]
		lowercase__					      =		[]

		# sort sub pipeline docs
		for pipeline_doc in pipeline_docs:
				if "section" in pipeline_doc:
						lowercase__					      =		pipeline_doc["""section"""]
						lowercase__					      =		clean_doc_toc(__magic_name__					)
						if overwrite:
								lowercase__					      =		new_sub_pipeline_doc
				new_pipeline_docs.append(__magic_name__					)

		# sort overall pipeline doc
		lowercase__					      =		clean_doc_toc(__magic_name__					)

		if new_pipeline_docs != pipeline_docs:
				lowercase__					      =		True
				if overwrite:
						lowercase__					      =		new_pipeline_docs

		if diff:
				if overwrite:
						lowercase__					      =		api_doc
						with open(__magic_name__   ,   """w"""   ,   encoding="""utf-8"""					) as f:
								f.write(yaml.dump(__magic_name__   ,   allow_unicode=__magic_name__					)					)
				else:
						raise ValueError(
						    """The model doc part of the table of content is not properly sorted, run `make style` to fix this."""					)


if __name__ == "__main__":
	A	:		List[Any]    =       argparse.ArgumentParser()
	parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
	A	:		Optional[int]    =       parser.parse_args()

	check_scheduler_doc(args.fix_and_overwrite)
	check_pipeline_doc(args.fix_and_overwrite)





from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
	import numpy as np
	import tensorflow as tf

	from transformers import TFXLMRobertaModel



@require_tf
@require_sentencepiece
@require_tokenizers
class 							A   (	unittest.TestCase							):
					'''simple docstring'''






					@slow
					def   lowerCamelCase__					(self   :						Any		)						->       Union[str, Any]:




							"""simple docstring"""


							lowercase__					      =		TFXLMRobertaModel.from_pretrained("""jplu/tf-xlm-roberta-base"""		)

							lowercase__					      =		{
							    """input_ids""": tf.convert_to_tensor([[0, 2646, 1_0269, 83, 9_9942, 2]]				, dtype=tf.intaa		),  # "My dog is cute"
							    """attention_mask""": tf.convert_to_tensor([[1, 1, 1, 1, 1, 1]]				, dtype=tf.intaa		),
							}

							lowercase__					      =		model(_UpperCAmelCase		)["""last_hidden_state"""]
							lowercase__					      =		tf.TensorShape((1, 6, 768)		)
							self.assertEqual(output.shape				, _UpperCAmelCase		)
							# compare the actual values for a slice.
							lowercase__					      =		tf.convert_to_tensor(
							    [
							        [
							            [0.0_681_762, 0.10_894_451, 0.06_772_504],
							            [-0.06_423_668, 0.02_366_615, 0.04_329_344],
							            [-0.06_057_295, 0.09_974_135, -0.00_070_584],
							        ]
							    ]				, dtype=tf.floataa				, )

							self.assertTrue(np.allclose(output[:, :3, :3].numpy()				, expected_slice.numpy()				, atol=1E-4		)		)

