
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__		(    UpperCAmelCase__,			unittest.TestCase   ):







							'''simple docstring'''
							_lowerCAmelCase							       =				BarthezTokenizer
							_lowerCAmelCase							       =				BarthezTokenizerFast
							_lowerCAmelCase							       =				True
							_lowerCAmelCase							       =				True





							def   __snake_case				(			self		):
											super().setUp()

											A__  :	str         =							BarthezTokenizerFast.from_pretrained('''moussaKam/mbarthez'''		)
											tokenizer.save_pretrained(self.tmpdirname		)
											tokenizer.save_pretrained(self.tmpdirname				,       legacy_format=__lowerCAmelCase		)
											A__  :	Optional[Any]         =							tokenizer





							def   __snake_case				(			self		):
											A__  :	str         =							'''<pad>'''
											A__  :	Optional[int]         =							1

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





							def   __snake_case				(			self		):
											A__  :	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(__lowerCAmelCase		)				,       10_1122		)





							def   __snake_case				(			self		):
											self.assertEqual(self.get_tokenizer().vocab_size				,       10_1122		)





							@require_torch
							def   __snake_case				(			self		):
											A__  :	int         =							['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
											A__  :	Optional[int]         =							[0, 57, 3018, 7_0307, 91, 2]

											A__  :	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		)
											A__  :	Optional[int]         =							batch.input_ids.tolist()[0]
											self.assertListEqual(__lowerCAmelCase				,       __lowerCAmelCase		)





							def   __snake_case				(			self		):






											if not self.test_rust_tokenizer:
															return

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

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

											A__  :	List[str]         =							tokenizer.tokenize(__lowerCAmelCase		)
											A__  :	List[str]         =							rust_tokenizer.tokenize(__lowerCAmelCase		)
											self.assertListEqual(__lowerCAmelCase				,       __lowerCAmelCase		)

											A__  :	str         =							tokenizer.encode(__lowerCAmelCase				,       add_special_tokens=__lowerCAmelCase		)
											A__  :	List[str]         =							rust_tokenizer.encode(__lowerCAmelCase				,       add_special_tokens=__lowerCAmelCase		)
											self.assertListEqual(__lowerCAmelCase				,       __lowerCAmelCase		)

											A__  :	List[Any]         =							self.get_rust_tokenizer()
											A__  :	Dict         =							tokenizer.encode(__lowerCAmelCase		)
											A__  :	Tuple         =							rust_tokenizer.encode(__lowerCAmelCase		)
											self.assertListEqual(__lowerCAmelCase				,       __lowerCAmelCase		)





							@slow
							def   __snake_case				(			self		):
											A__  :	str         =							{'''input_ids''': [[0, 490, 1_4328, 4507, 354, 47, 4_3669, 95, 25, 7_8117, 2_0215, 1_9779, 190, 22, 400, 4, 3_5343, 8_0310, 603, 86, 2_4937, 105, 3_3438, 9_4762, 196, 3_9642, 7, 15, 1_5933, 173, 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_0534, 87, 25, 66, 3358, 196, 5_5289, 8, 8_2961, 81, 2204, 7_5203, 7, 15, 763, 1_2956, 216, 178, 1_4328, 9595, 1377, 6_9693, 7, 448, 7_1021, 196, 1_8106, 1437, 1_3974, 108, 9083, 4, 4_9315, 7, 39, 86, 1326, 2793, 4_6333, 4, 448, 196, 7_4588, 7, 4_9315, 7, 39, 21, 822, 3_8470, 74, 21, 6_6723, 6_2480, 8, 2_2050, 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.
											A__  :	List[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				,       )

_SCREAMING_SNAKE_CASE    :      List[str]          =			range(2, 2_0 + 1)
_SCREAMING_SNAKE_CASE    :      Optional[Any]          =			[1_0**k for k in range(ks[-1] + 1)]
_SCREAMING_SNAKE_CASE    :      dict[int, dict[int, list[list[int]]]]          =			{}

def 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						Any							,						__UpperCamelCase :						Dict							,						__UpperCamelCase :						Any							,						__UpperCamelCase :						Optional[Any]       ) ->       int:

				"""simple docstring"""







				A__  :	Tuple         =							sum(a_i[j] for j in range(__UpperCamelCase							,						len(__UpperCamelCase       )       )       )
				A__  :	Tuple         =							sum(a_i[j] * base[j] for j in range(min(len(__UpperCamelCase       )							,						__UpperCamelCase       )       )       )

				A__       ,							A__  :	Optional[int]         =							0, 0
				A__  :	List[Any]         =							n - i

				A__  :	Any         =							memo.get(__UpperCamelCase       )

				if sub_memo is not None:
								A__  :	Optional[int]         =							sub_memo.get(__UpperCamelCase       )

								if jumps is not None and len(__UpperCamelCase       ) > 0:
												# find and make the largest jump without going over
												A__  :	List[Any]         =							-1
												for _k in range(len(__UpperCamelCase       ) - 1							,						-1							,						-1       ):
																if jumps[_k][2] <= k and jumps[_k][1] <= max_dn:
																				A__  :	List[str]         =							_k
																				break

												if max_jump >= 0:
																A__       ,							A__       ,							A__  :	List[Any]         =							jumps[max_jump]
																# since the difference between jumps is cached, add c
																A__  :	int         =							diff + c
																for j in range(min(__UpperCamelCase							,						len(__UpperCamelCase       )       )       ):
																				A__       ,							A__  :	List[str]         =							divmod(__UpperCamelCase							,						10       )
																if new_c > 0:
																				add(__UpperCamelCase							,						__UpperCamelCase							,						__UpperCamelCase       )

								else:
												A__  :	List[Any]         =							[]
				else:
								A__  :	Optional[Any]         =							{c: []}
								A__  :	int         =							sub_memo

				if dn >= max_dn or c + diff >= base[k]:
								return diff, dn

				if k > ks[0]:
								while True:
												# keep doing smaller jumps
												A__       ,							A__  :	str         =							next_term(__UpperCamelCase							,						k - 1							,						i + dn							,						__UpperCamelCase       )
												diff += _diff
												dn += terms_jumped

												if dn >= max_dn or c + diff >= base[k]:
																break
				else:
								# would be too small a jump, just compute sequential terms instead
								A__       ,							A__  :	str         =							compute(__UpperCamelCase							,						__UpperCamelCase							,						i + dn							,						__UpperCamelCase       )
								diff += _diff
								dn += terms_jumped

				A__  :	str         =							sub_memo[c]

				# keep jumps sorted by # of terms skipped
				A__  :	List[Any]         =							0
				while j < len(__UpperCamelCase       ):
								if jumps[j][1] > dn:
												break
								j += 1

				# cache the jump for this value digitsum(b) and c
				sub_memo[c].insert(__UpperCamelCase							,						(diff, dn, k)       )
				return (diff, dn)

def 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						int							,						__UpperCamelCase :						Optional[int]							,						__UpperCamelCase :						List[str]							,						__UpperCamelCase :						int       ) ->       Any:

				"""simple docstring"""







				if i >= n:
								return 0, i
				if k > len(__UpperCamelCase       ):
								a_i.extend([0 for _ in range(k - len(__UpperCamelCase       )       )]       )

				# note: a_i -> b * 10^k + c
				# ds_b -> digitsum(b)
				# ds_c -> digitsum(c)
				A__  :	Optional[Any]         =							i
				A__       ,							A__       ,							A__  :	Dict         =							0, 0, 0
				for j in range(len(__UpperCamelCase       )       ):
								if j >= k:
												ds_b += a_i[j]
								else:
												ds_c += a_i[j]

				while i < n:
								i += 1
								A__  :	int         =							ds_c + ds_b
								diff += addend
								A__  :	List[Any]         =							0
								for j in range(__UpperCamelCase       ):
												A__  :	Optional[Any]         =							a_i[j] + addend
												A__       ,							A__  :	List[str]         =							divmod(__UpperCamelCase							,						10       )

												ds_c += a_i[j]

								if addend > 0:
												break

				if addend > 0:
								add(__UpperCamelCase							,						__UpperCamelCase							,						__UpperCamelCase       )
				return diff, i - start_i

def 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						Dict							,						__UpperCamelCase :						List[Any]							,						__UpperCamelCase :						int       ) ->       Tuple:

				"""simple docstring"""







				for j in range(__UpperCamelCase							,						len(__UpperCamelCase       )       ):
								A__  :	Any         =							digits[j] + addend
								if s >= 10:
												A__       ,							A__  :	Union[str, Any]         =							divmod(__UpperCamelCase							,						10       )
												A__  :	Optional[int]         =							addend // 10 + quotient
								else:
												A__  :	Any         =							s
												A__  :	Dict         =							addend // 10

								if addend == 0:
												break

				while addend > 0:
								A__       ,							A__  :	Dict         =							divmod(__UpperCamelCase							,						10       )
								digits.append(__UpperCamelCase       )

def 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						int = 10**15       ) ->       int:

				"""simple docstring"""







				A__  :	List[Any]         =							[1]
				A__  :	Dict         =							1
				A__  :	Tuple         =							0
				while True:
								A__       ,							A__  :	List[str]         =							next_term(__UpperCamelCase							,						20							,						i + dn							,						__UpperCamelCase       )
								dn += terms_jumped
								if dn == n - i:
												break

				A__  :	List[str]         =							0
				for j in range(len(__UpperCamelCase       )       ):
								a_n += digits[j] * 10**j
				return a_n


if __name__ == "__main__":
					print(f"""{solution() = }""")