


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      (     lowercase		,		unittest.TestCase							):
		lowerCamelCase_	:			int       			=  BarthezTokenizer
		lowerCamelCase_	:			Optional[Any]       			=  BarthezTokenizerFast
		lowerCamelCase_	:			Dict       			=  True
		lowerCamelCase_	:			Optional[Any]       			=  True






		def _snake_case		(						self				:     Union[str, Any]):
				super().setUp()

				SCREAMING_SNAKE_CASE_				:Any				     =						BarthezTokenizerFast.from_pretrained("moussaKam/mbarthez")
				tokenizer.save_pretrained(self.tmpdirname)
				tokenizer.save_pretrained(self.tmpdirname   ,  legacy_format=UpperCAmelCase)
				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						tokenizer






		def _snake_case		(						self				:     Union[str, Any]):
				SCREAMING_SNAKE_CASE_				:List[Any]				     =						"<pad>"
				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						1

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






		def _snake_case		(						self				:     List[str]):
				SCREAMING_SNAKE_CASE_				:str				     =						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(UpperCAmelCase)   ,  10_11_22)






		def _snake_case		(						self				:     Optional[Any]):
				self.assertEqual(self.get_tokenizer().vocab_size   ,  10_11_22)






		@require_torch
		def _snake_case		(						self				:     Union[str, Any]):
				SCREAMING_SNAKE_CASE_				:Optional[int]				     =						["A long paragraph for summarization.", "Another paragraph for summarization."]
				SCREAMING_SNAKE_CASE_				:Any				     =						[0, 57, 30_18, 7_03_07, 91, 2]

				SCREAMING_SNAKE_CASE_				:Any				     =						self.tokenizer(
				    UpperCAmelCase   ,  max_length=len(UpperCAmelCase)   ,  padding=UpperCAmelCase   ,  truncation=UpperCAmelCase   ,  return_tensors="pt")
				self.assertIsInstance(UpperCAmelCase   ,  UpperCAmelCase)

				self.assertEqual((2, 6)   ,  batch.input_ids.shape)
				self.assertEqual((2, 6)   ,  batch.attention_mask.shape)
				SCREAMING_SNAKE_CASE_				:Dict				     =						batch.input_ids.tolist()[0]
				self.assertListEqual(UpperCAmelCase   ,  UpperCAmelCase)






		def _snake_case		(						self				:     Union[str, Any]):
				if not self.test_rust_tokenizer:
						return

				SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						self.get_tokenizer()
				SCREAMING_SNAKE_CASE_				:List[str]				     =						self.get_rust_tokenizer()

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

				SCREAMING_SNAKE_CASE_				:List[Any]				     =						tokenizer.tokenize(UpperCAmelCase)
				SCREAMING_SNAKE_CASE_				:Optional[int]				     =						rust_tokenizer.tokenize(UpperCAmelCase)
				self.assertListEqual(UpperCAmelCase   ,  UpperCAmelCase)

				SCREAMING_SNAKE_CASE_				:Tuple				     =						tokenizer.encode(UpperCAmelCase   ,  add_special_tokens=UpperCAmelCase)
				SCREAMING_SNAKE_CASE_				:Any				     =						rust_tokenizer.encode(UpperCAmelCase   ,  add_special_tokens=UpperCAmelCase)
				self.assertListEqual(UpperCAmelCase   ,  UpperCAmelCase)

				SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						self.get_rust_tokenizer()
				SCREAMING_SNAKE_CASE_				:Any				     =						tokenizer.encode(UpperCAmelCase)
				SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						rust_tokenizer.encode(UpperCAmelCase)
				self.assertListEqual(UpperCAmelCase   ,  UpperCAmelCase)







		@slow
		def _snake_case		(						self				:     Optional[Any]):
				# fmt: off
				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						{"input_ids": [[0, 4_90, 1_43_28, 45_07, 3_54, 47, 4_36_69, 95, 25, 7_81_17, 2_02_15, 1_97_79, 1_90, 22, 4_00, 4, 3_53_43, 8_03_10, 6_03, 86, 2_49_37, 1_05, 3_34_38, 9_47_62, 1_96, 3_96_42, 7, 15, 1_59_33, 1_73, 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_05_34, 87, 25, 66, 33_58, 1_96, 5_52_89, 8, 8_29_61, 81, 22_04, 7_52_03, 7, 15, 7_63, 1_29_56, 2_16, 1_78, 1_43_28, 95_95, 13_77, 6_96_93, 7, 4_48, 7_10_21, 1_96, 1_81_06, 14_37, 1_39_74, 1_08, 90_83, 4, 4_93_15, 7, 39, 86, 13_26, 27_93, 4_63_33, 4, 4_48, 1_96, 7_45_88, 7, 4_93_15, 7, 39, 21, 8_22, 3_84_70, 74, 21, 6_67_23, 6_24_80, 8, 2_20_50, 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_				:int				     =						[
				    "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=UpperCAmelCase   ,  model_name="moussaKam/mbarthez"   ,  revision="c2e4ecbca5e3cd2c37fe1ac285ca4fbdf1366fb6"   ,  sequences=UpperCAmelCase   ,  )










import unittest

from transformers.utils.backbone_utils import (
    BackboneMixin,
    get_aligned_output_features_output_indices,
    verify_out_features_out_indices,
)



class 						_UpperCAmelCase      (     unittest.TestCase							):






		def _snake_case		(						self				:     Union[str, Any]):
				SCREAMING_SNAKE_CASE_				:Optional[int]				     =						["a", "b", "c"]

				# Defaults to last layer if both are None
				SCREAMING_SNAKE_CASE_     ,				SCREAMING_SNAKE_CASE_				:Dict				     =						get_aligned_output_features_output_indices(UpperCAmelCase   ,  UpperCAmelCase   ,  UpperCAmelCase)
				self.assertEqual(UpperCAmelCase   ,  ["c"])
				self.assertEqual(UpperCAmelCase   ,  [2])

				# Out indices set to match out features
				SCREAMING_SNAKE_CASE_     ,				SCREAMING_SNAKE_CASE_				:Tuple				     =						get_aligned_output_features_output_indices(["a", "c"]   ,  UpperCAmelCase   ,  UpperCAmelCase)
				self.assertEqual(UpperCAmelCase   ,  ["a", "c"])
				self.assertEqual(UpperCAmelCase   ,  [0, 2])

				# Out features set to match out indices
				SCREAMING_SNAKE_CASE_     ,				SCREAMING_SNAKE_CASE_				:int				     =						get_aligned_output_features_output_indices(UpperCAmelCase   ,  [0, 2]   ,  UpperCAmelCase)
				self.assertEqual(UpperCAmelCase   ,  ["a", "c"])
				self.assertEqual(UpperCAmelCase   ,  [0, 2])

				# Out features selected from negative indices
				SCREAMING_SNAKE_CASE_     ,				SCREAMING_SNAKE_CASE_				:Any				     =						get_aligned_output_features_output_indices(UpperCAmelCase   ,  [-3, -1]   ,  UpperCAmelCase)
				self.assertEqual(UpperCAmelCase   ,  ["a", "c"])
				self.assertEqual(UpperCAmelCase   ,  [-3, -1])






		def _snake_case		(						self				:     str):
				# Stage names must be set
				with self.assertRaises(UpperCAmelCase):
						verify_out_features_out_indices(["a", "b"]   ,  (0, 1)   ,  UpperCAmelCase)

				# Out features must be a list
				with self.assertRaises(UpperCAmelCase):
						verify_out_features_out_indices(("a", "b")   ,  (0, 1)   ,  ["a", "b"])

				# Out features must be a subset of stage names
				with self.assertRaises(UpperCAmelCase):
						verify_out_features_out_indices(["a", "b"]   ,  (0, 1)   ,  ["a"])

				# Out indices must be a list or tuple
				with self.assertRaises(UpperCAmelCase):
						verify_out_features_out_indices(UpperCAmelCase   ,  0   ,  ["a", "b"])

				# Out indices must be a subset of stage names
				with self.assertRaises(UpperCAmelCase):
						verify_out_features_out_indices(UpperCAmelCase   ,  (0, 1)   ,  ["a"])

				# Out features and out indices must be the same length
				with self.assertRaises(UpperCAmelCase):
						verify_out_features_out_indices(["a", "b"]   ,  (0,)   ,  ["a", "b", "c"])

				# Out features should match out indices
				with self.assertRaises(UpperCAmelCase):
						verify_out_features_out_indices(["a", "b"]   ,  (0, 2)   ,  ["a", "b", "c"])

				# Out features and out indices should be in order
				with self.assertRaises(UpperCAmelCase):
						verify_out_features_out_indices(["b", "a"]   ,  (0, 1)   ,  ["a", "b"])

				# Check passes with valid inputs
				verify_out_features_out_indices(["a", "b", "d"]   ,  (0, 1, -1)   ,  ["a", "b", "c", "d"])







		def _snake_case		(						self				:     Tuple):
				SCREAMING_SNAKE_CASE_				:int				     =						BackboneMixin()

				SCREAMING_SNAKE_CASE_				:List[str]				     =						["a", "b", "c"]
				SCREAMING_SNAKE_CASE_				:str				     =						["a", "c"]
				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						[0, 2]

				# Check that the output features and indices are set correctly
				self.assertEqual(backbone.out_features   ,  ["a", "c"])
				self.assertEqual(backbone.out_indices   ,  [0, 2])

				# Check out features and indices are updated correctly
				SCREAMING_SNAKE_CASE_				:Tuple				     =						["a", "b"]
				self.assertEqual(backbone.out_features   ,  ["a", "b"])
				self.assertEqual(backbone.out_indices   ,  [0, 1])

				SCREAMING_SNAKE_CASE_				:List[str]				     =						[-3, -1]
				self.assertEqual(backbone.out_features   ,  ["a", "c"])
				self.assertEqual(backbone.out_indices   ,  [-3, -1])






