




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 __snake_case			(			a ,  unittest.TestCase		):
   UpperCAmelCase__  :    Dict          =  BarthezTokenizer
   UpperCAmelCase__  :    Optional[Any]          =  BarthezTokenizerFast
   UpperCAmelCase__  :    Union[str, Any]          =  True
   UpperCAmelCase__  :    Optional[Any]          =  True







   def lowerCamelCase						(      self		:						Optional[int]):

        """simple docstring"""


        super().setUp()

        UpperCAmelCase_          =							BarthezTokenizerFast.from_pretrained('''moussaKam/mbarthez''')
        tokenizer.save_pretrained(self.tmpdirname)
        tokenizer.save_pretrained(self.tmpdirname					,						legacy_format=_snake_case)
        UpperCAmelCase_          =							tokenizer







   def lowerCamelCase						(      self		:						str):

        """simple docstring"""


        UpperCAmelCase_          =							'''<pad>'''
        UpperCAmelCase_          =							1

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







   def lowerCamelCase						(      self		:						Any):

        """simple docstring"""


        UpperCAmelCase_          =							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(_snake_case)					,						101122)







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

        """simple docstring"""


        self.assertEqual(self.get_tokenizer().vocab_size					,						101122)







   @require_torch
   def lowerCamelCase						(      self		:						Optional[Any]):

        """simple docstring"""


        UpperCAmelCase_          =							['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
        UpperCAmelCase_          =							[0, 57, 3018, 70307, 91, 2]

        UpperCAmelCase_          =							self.tokenizer(
            _snake_case					,						max_length=len(_snake_case)					,						padding=_snake_case					,						truncation=_snake_case					,						return_tensors='''pt''')
        self.assertIsInstance(_snake_case					,						_snake_case)

        self.assertEqual((2, 6)					,						batch.input_ids.shape)
        self.assertEqual((2, 6)					,						batch.attention_mask.shape)
        UpperCAmelCase_          =							batch.input_ids.tolist()[0]
        self.assertListEqual(_snake_case					,						_snake_case)







   def lowerCamelCase						(      self		:						Optional[Any]):

        """simple docstring"""


        if not self.test_rust_tokenizer:
             return

        UpperCAmelCase_          =							self.get_tokenizer()
        UpperCAmelCase_          =							self.get_rust_tokenizer()

        UpperCAmelCase_          =							'''I was born in 92000, and this is falsé.'''

        UpperCAmelCase_          =							tokenizer.tokenize(_snake_case)
        UpperCAmelCase_          =							rust_tokenizer.tokenize(_snake_case)
        self.assertListEqual(_snake_case					,						_snake_case)

        UpperCAmelCase_          =							tokenizer.encode(_snake_case					,						add_special_tokens=_snake_case)
        UpperCAmelCase_          =							rust_tokenizer.encode(_snake_case					,						add_special_tokens=_snake_case)
        self.assertListEqual(_snake_case					,						_snake_case)

        UpperCAmelCase_          =							self.get_rust_tokenizer()
        UpperCAmelCase_          =							tokenizer.encode(_snake_case)
        UpperCAmelCase_          =							rust_tokenizer.encode(_snake_case)
        self.assertListEqual(_snake_case					,						_snake_case)







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

        """simple docstring"""


        UpperCAmelCase_          =							{'''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.
        UpperCAmelCase_          =							[
            '''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=_snake_case					,						model_name='''moussaKam/mbarthez'''					,						revision='''c2e4ecbca5e3cd2c37fe1ac285ca4fbdf1366fb6'''					,						sequences=_snake_case					,						)








def 	_SCREAMING_SNAKE_CASE					(		_lowerCamelCase :			int						,  _lowerCamelCase :			int)					->    float:






							'''simple docstring'''





							return base * power(_lowerCamelCase						,  (exponent - 1)) if exponent else 1


if __name__ == "__main__":
		print('Raise base to the power of exponent using recursion...')
		lowercase  :					Optional[int]													=       int(input('Enter the base: ').strip())
		lowercase  :					Tuple													=       int(input('Enter the exponent: ').strip())
		lowercase  :					str													=       power(base, abs(exponent))
		if exponent < 0:  # power() does not properly deal w/ negative exponents
				lowercase  :					Tuple													=       1 / result
		print(f"{base} to the power of {exponent} is {result}")