



'''simple docstring'''




import unittest

from transformers import BarthezTokenizer, BarthezTokenizerFast, BatchEncoding
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
@require_sentencepiece
@slow  # see https://github.com/huggingface/transformers/issues/11457
class 		_UpperCamelCase						(							lowerCamelCase__					,      unittest.TestCase					):


			'''simple docstring'''

			_A   :	List[Any]    					=	BarthezTokenizer
			_A   :	Optional[Any]    					=	BarthezTokenizerFast
			_A   :	Tuple    					=	True
			_A   :	List[str]    					=	True

			def UpperCamelCase__      (							self  :				Optional[Any]		):





					"""simple docstring"""






					super().setUp()

					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	BarthezTokenizerFast.from_pretrained("""moussaKam/mbarthez"""		)
					tokenizer.save_pretrained(self.tmpdirname		)
					tokenizer.save_pretrained(self.tmpdirname							,  legacy_format=lowerCAmelCase__		)
					__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	tokenizer

			def UpperCamelCase__      (							self  :				Union[str, Any]		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	int					 =	"""<pad>"""
					__SCREAMING_SNAKE_CASE :	Any					 =	1

					self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowerCAmelCase__		)							,  lowerCAmelCase__		)
					self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowerCAmelCase__		)							,  lowerCAmelCase__		)

			def UpperCamelCase__      (							self  :				Any		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Dict					 =	list(self.get_tokenizer().get_vocab().keys()		)

					self.assertEqual(vocab_keys[0]							,  """<s>"""		)
					self.assertEqual(vocab_keys[1]							,  """<pad>"""		)
					self.assertEqual(vocab_keys[-1]							,  """<mask>"""		)
					self.assertEqual(len(lowerCAmelCase__		)							,  1_0_1_1_2_2		)

			def UpperCamelCase__      (							self  :				Optional[int]		):





					"""simple docstring"""






					self.assertEqual(self.get_tokenizer().vocab_size							,  1_0_1_1_2_2		)

			@require_torch
			def UpperCamelCase__      (							self  :				List[str]		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	int					 =	["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
					__SCREAMING_SNAKE_CASE :	Any					 =	[0, 5_7, 3_0_1_8, 7_0_3_0_7, 9_1, 2]

					__SCREAMING_SNAKE_CASE :	int					 =	self.tokenizer(
					    lowerCAmelCase__							,  max_length=len(lowerCAmelCase__		)							,  padding=lowerCAmelCase__							,  truncation=lowerCAmelCase__							,  return_tensors="""pt"""		)
					self.assertIsInstance(lowerCAmelCase__							,  lowerCAmelCase__		)

					self.assertEqual((2, 6)							,  batch.input_ids.shape		)
					self.assertEqual((2, 6)							,  batch.attention_mask.shape		)
					__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	batch.input_ids.tolist()[0]
					self.assertListEqual(lowerCAmelCase__							,  lowerCAmelCase__		)

			def UpperCamelCase__      (							self  :				Dict		):





					"""simple docstring"""






					if not self.test_rust_tokenizer:
							return

					__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	self.get_tokenizer()
					__SCREAMING_SNAKE_CASE :	int					 =	self.get_rust_tokenizer()

					__SCREAMING_SNAKE_CASE :	List[str]					 =	"""I was born in 92000, and this is falsé."""

					__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	tokenizer.tokenize(lowerCAmelCase__		)
					__SCREAMING_SNAKE_CASE :	Tuple					 =	rust_tokenizer.tokenize(lowerCAmelCase__		)
					self.assertListEqual(lowerCAmelCase__							,  lowerCAmelCase__		)

					__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	tokenizer.encode(lowerCAmelCase__							,  add_special_tokens=lowerCAmelCase__		)
					__SCREAMING_SNAKE_CASE :	List[str]					 =	rust_tokenizer.encode(lowerCAmelCase__							,  add_special_tokens=lowerCAmelCase__		)
					self.assertListEqual(lowerCAmelCase__							,  lowerCAmelCase__		)

					__SCREAMING_SNAKE_CASE :	Dict					 =	self.get_rust_tokenizer()
					__SCREAMING_SNAKE_CASE :	Dict					 =	tokenizer.encode(lowerCAmelCase__		)
					__SCREAMING_SNAKE_CASE :	Dict					 =	rust_tokenizer.encode(lowerCAmelCase__		)
					self.assertListEqual(lowerCAmelCase__							,  lowerCAmelCase__		)



			@slow
			def UpperCamelCase__      (							self  :				List[str]		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	{"""input_ids""": [[0, 4_9_0, 1_4_3_2_8, 4_5_0_7, 3_5_4, 4_7, 4_3_6_6_9, 9_5, 2_5, 7_8_1_1_7, 2_0_2_1_5, 1_9_7_7_9, 1_9_0, 2_2, 4_0_0, 4, 3_5_3_4_3, 8_0_3_1_0, 6_0_3, 8_6, 2_4_9_3_7, 1_0_5, 3_3_4_3_8, 9_4_7_6_2, 1_9_6, 3_9_6_4_2, 7, 1_5, 1_5_9_3_3, 1_7_3, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, 1_0_5_3_4, 8_7, 2_5, 6_6, 3_3_5_8, 1_9_6, 5_5_2_8_9, 8, 8_2_9_6_1, 8_1, 2_2_0_4, 7_5_2_0_3, 7, 1_5, 7_6_3, 1_2_9_5_6, 2_1_6, 1_7_8, 1_4_3_2_8, 9_5_9_5, 1_3_7_7, 6_9_6_9_3, 7, 4_4_8, 7_1_0_2_1, 1_9_6, 1_8_1_0_6, 1_4_3_7, 1_3_9_7_4, 1_0_8, 9_0_8_3, 4, 4_9_3_1_5, 7, 3_9, 8_6, 1_3_2_6, 2_7_9_3, 4_6_3_3_3, 4, 4_4_8, 1_9_6, 7_4_5_8_8, 7, 4_9_3_1_5, 7, 3_9, 2_1, 8_2_2, 3_8_4_7_0, 7_4, 2_1, 6_6_7_2_3, 6_2_4_8_0, 8, 2_2_0_5_0, 5, 2]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]}  # noqa: E501
					# fmt: on

					# moussaKam/mbarthez is a french model. So we also use french texts.
					__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	[
					    """Le transformeur est un modèle d'apprentissage profond introduit en 2017, """
					    """utilisé principalement dans le domaine du traitement automatique des langues (TAL).""",
					    """À l'instar des réseaux de neurones récurrents (RNN), les transformeurs sont conçus """
					    """pour gérer des données séquentielles, telles que le langage naturel, pour des tâches """
					    """telles que la traduction et la synthèse de texte.""",
					]

					self.tokenizer_integration_test_util(
					    expected_encoding=lowerCAmelCase__							,  model_name="""moussaKam/mbarthez"""							,  revision="""c2e4ecbca5e3cd2c37fe1ac285ca4fbdf1366fb6"""							,  sequences=lowerCAmelCase__							,  )




'''simple docstring'''




from ..utils import DummyObject, requires_backends






class 		_UpperCamelCase						(							metaclass=lowerCamelCase__					):


			'''simple docstring'''

			_A   :	Union[str, Any]    					=	['''torch''', '''transformers''', '''onnx''']

			def __init__(							self  :				Optional[int]							,  *lowerCAmelCase__  :				Optional[Any]							,  **lowerCAmelCase__  :				int		):





					"""simple docstring"""






					requires_backends(self							,  ["""torch""", """transformers""", """onnx"""]		)

			@classmethod
			def UpperCamelCase__      (							cls  :				Tuple							,  *lowerCAmelCase__  :				Union[str, Any]							,  **lowerCAmelCase__  :				Optional[int]		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)



			@classmethod
			def UpperCamelCase__      (							cls  :				str							,  *lowerCAmelCase__  :				int							,  **lowerCAmelCase__  :				Optional[Any]		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)






class 		_UpperCamelCase						(							metaclass=lowerCamelCase__					):


			'''simple docstring'''

			_A   :	Dict    					=	['''torch''', '''transformers''', '''onnx''']

			def __init__(							self  :				str							,  *lowerCAmelCase__  :				str							,  **lowerCAmelCase__  :				List[str]		):





					"""simple docstring"""






					requires_backends(self							,  ["""torch""", """transformers""", """onnx"""]		)

			@classmethod
			def UpperCamelCase__      (							cls  :				Optional[Any]							,  *lowerCAmelCase__  :				Dict							,  **lowerCAmelCase__  :				Dict		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)



			@classmethod
			def UpperCamelCase__      (							cls  :				str							,  *lowerCAmelCase__  :				List[str]							,  **lowerCAmelCase__  :				str		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)






class 		_UpperCamelCase						(							metaclass=lowerCamelCase__					):


			'''simple docstring'''

			_A   :	Tuple    					=	['''torch''', '''transformers''', '''onnx''']

			def __init__(							self  :				str							,  *lowerCAmelCase__  :				List[str]							,  **lowerCAmelCase__  :				Dict		):





					"""simple docstring"""






					requires_backends(self							,  ["""torch""", """transformers""", """onnx"""]		)

			@classmethod
			def UpperCamelCase__      (							cls  :				Any							,  *lowerCAmelCase__  :				Tuple							,  **lowerCAmelCase__  :				Any		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)



			@classmethod
			def UpperCamelCase__      (							cls  :				List[str]							,  *lowerCAmelCase__  :				Union[str, Any]							,  **lowerCAmelCase__  :				Dict		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)






class 		_UpperCamelCase						(							metaclass=lowerCamelCase__					):


			'''simple docstring'''

			_A   :	Optional[int]    					=	['''torch''', '''transformers''', '''onnx''']

			def __init__(							self  :				Optional[int]							,  *lowerCAmelCase__  :				Dict							,  **lowerCAmelCase__  :				List[Any]		):





					"""simple docstring"""






					requires_backends(self							,  ["""torch""", """transformers""", """onnx"""]		)

			@classmethod
			def UpperCamelCase__      (							cls  :				Any							,  *lowerCAmelCase__  :				List[Any]							,  **lowerCAmelCase__  :				List[str]		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)



			@classmethod
			def UpperCamelCase__      (							cls  :				List[str]							,  *lowerCAmelCase__  :				str							,  **lowerCAmelCase__  :				Optional[int]		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)






class 		_UpperCamelCase						(							metaclass=lowerCamelCase__					):


			'''simple docstring'''

			_A   :	Union[str, Any]    					=	['''torch''', '''transformers''', '''onnx''']

			def __init__(							self  :				Optional[int]							,  *lowerCAmelCase__  :				int							,  **lowerCAmelCase__  :				List[str]		):





					"""simple docstring"""






					requires_backends(self							,  ["""torch""", """transformers""", """onnx"""]		)

			@classmethod
			def UpperCamelCase__      (							cls  :				List[str]							,  *lowerCAmelCase__  :				int							,  **lowerCAmelCase__  :				int		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)



			@classmethod
			def UpperCamelCase__      (							cls  :				str							,  *lowerCAmelCase__  :				int							,  **lowerCAmelCase__  :				List[Any]		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)






class 		_UpperCamelCase						(							metaclass=lowerCamelCase__					):


			'''simple docstring'''

			_A   :	Optional[Any]    					=	['''torch''', '''transformers''', '''onnx''']

			def __init__(							self  :				Optional[int]							,  *lowerCAmelCase__  :				Tuple							,  **lowerCAmelCase__  :				List[str]		):





					"""simple docstring"""






					requires_backends(self							,  ["""torch""", """transformers""", """onnx"""]		)

			@classmethod
			def UpperCamelCase__      (							cls  :				Tuple							,  *lowerCAmelCase__  :				Dict							,  **lowerCAmelCase__  :				List[Any]		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)



			@classmethod
			def UpperCamelCase__      (							cls  :				List[str]							,  *lowerCAmelCase__  :				Dict							,  **lowerCAmelCase__  :				Tuple		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)