




"""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 lowerCAmelCase__			(  __snake_case,			unittest.TestCase		):






			'''simple docstring'''



			lowerCamelCase__   =    BarthezTokenizer
			lowerCamelCase__   =    BarthezTokenizerFast
			lowerCamelCase__   =    True
			lowerCamelCase__   =    True
			def       A_					(						self						):
							super().setUp()

							_lowerCamelCase  :    Tuple					=					BarthezTokenizerFast.from_pretrained('moussaKam/mbarthez'						)
							tokenizer.save_pretrained(self.tmpdirname						)
							tokenizer.save_pretrained(self.tmpdirname						,   legacy_format=_lowercase						)
							_lowerCamelCase  :    List[str]					=					tokenizer
			def       A_					(						self						):
							_lowerCamelCase  :    Tuple					=					"""<pad>"""
							_lowerCamelCase  :    Any					=					1

							self.assertEqual(self.get_tokenizer()._convert_token_to_id(_lowercase						)						,   _lowercase						)
							self.assertEqual(self.get_tokenizer()._convert_id_to_token(_lowercase						)						,   _lowercase						)
			def       A_					(						self						):
							_lowerCamelCase  :    Any					=					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(_lowercase						)						,   101122						)
			def       A_					(						self						):
							self.assertEqual(self.get_tokenizer().vocab_size						,   101122						)
			@require_torch
			def       A_					(						self						):
							_lowerCamelCase  :    Dict					=					["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
							_lowerCamelCase  :    str					=					[0, 57, 3018, 70307, 91, 2]

							_lowerCamelCase  :    Any					=					self.tokenizer(
							    _lowercase						,   max_length=len(_lowercase						)						,   padding=_lowercase						,   truncation=_lowercase						,   return_tensors='pt'						)
							self.assertIsInstance(_lowercase						,   _lowercase						)

							self.assertEqual((2, 6)						,   batch.input_ids.shape						)
							self.assertEqual((2, 6)						,   batch.attention_mask.shape						)
							_lowerCamelCase  :    Optional[int]					=					batch.input_ids.tolist()[0]
							self.assertListEqual(_lowercase						,   _lowercase						)
			def       A_					(						self						):

							if not self.test_rust_tokenizer:
											return

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

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

							_lowerCamelCase  :    Optional[Any]					=					tokenizer.tokenize(_lowercase						)
							_lowerCamelCase  :    Tuple					=					rust_tokenizer.tokenize(_lowercase						)
							self.assertListEqual(_lowercase						,   _lowercase						)

							_lowerCamelCase  :    Any					=					tokenizer.encode(_lowercase						,   add_special_tokens=_lowercase						)
							_lowerCamelCase  :    List[Any]					=					rust_tokenizer.encode(_lowercase						,   add_special_tokens=_lowercase						)
							self.assertListEqual(_lowercase						,   _lowercase						)

							_lowerCamelCase  :    Dict					=					self.get_rust_tokenizer()
							_lowerCamelCase  :    Optional[Any]					=					tokenizer.encode(_lowercase						)
							_lowerCamelCase  :    Tuple					=					rust_tokenizer.encode(_lowercase						)
							self.assertListEqual(_lowercase						,   _lowercase						)






			@slow
			def       A_					(						self						):
							_lowerCamelCase  :    List[Any]					=					{"""input_ids""": [[0, 490, 14328, 4507, 354, 47, 43669, 95, 25, 78117, 20215, 19779, 190, 22, 400, 4, 35343, 80310, 603, 86, 24937, 105, 33438, 94762, 196, 39642, 7, 15, 15933, 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, 10534, 87, 25, 66, 3358, 196, 55289, 8, 82961, 81, 2204, 75203, 7, 15, 763, 12956, 216, 178, 14328, 9595, 1377, 69693, 7, 448, 71021, 196, 18106, 1437, 13974, 108, 9083, 4, 49315, 7, 39, 86, 1326, 2793, 46333, 4, 448, 196, 74588, 7, 49315, 7, 39, 21, 822, 38470, 74, 21, 66723, 62480, 8, 22050, 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.
							_lowerCamelCase  :    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=_lowercase						,   model_name='moussaKam/mbarthez'						,   revision='c2e4ecbca5e3cd2c37fe1ac285ca4fbdf1366fb6'						,   sequences=_lowercase						,   )











"""simple docstring"""






from pathlib import Path

import fire







def   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__	):
				_lowerCamelCase  :    int					=					Path(lowercase__	)
				_lowerCamelCase  :    List[Any]					=					Path(lowercase__	)
				dest_dir.mkdir(exist_ok=lowercase__	)
				for path in src_dir.iterdir():
								_lowerCamelCase  :    str					=					[x.rstrip() for x in list(path.open().readlines()	)][:n]
								_lowerCamelCase  :    Any					=					dest_dir.joinpath(path.name	)
								print(lowercase__	)
								dest_path.open('w'	).write('\n'.join(lowercase__	)	)


if __name__ == "__main__":
			fire.Fire(minify)