
"""simple docstring"""

import os
import unittest

from transformers import MPNetTokenizerFast
from transformers.models.mpnet.tokenization_mpnet import VOCAB_FILES_NAMES, MPNetTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class        _lowercase   (				__UpperCAmelCase				,       unittest.TestCase		):
	lowercase_        =	MPNetTokenizer
	lowercase_        =	MPNetTokenizerFast
	lowercase_        =	True
	lowercase_        =	True




	def 			_UpperCamelCase    ( self					)		->							str:
			super().setUp()

			lowerCamelCase     :			Any		=    [
			    '[UNK]',
			    '[CLS]',
			    '[SEP]',
			    '[PAD]',
			    '[MASK]',
			    'want',
			    '##want',
			    '##ed',
			    'wa',
			    'un',
			    'runn',
			    '##ing',
			    ',',
			    'low',
			    'lowest',
			]
			lowerCamelCase     :			int		=    os.path.join(self.tmpdirname		, VOCAB_FILES_NAMES['vocab_file']					)
			with open(self.vocab_file		, 'w'		, encoding='utf-8'					) as vocab_writer:
					vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]					)					)




	def 			_UpperCamelCase    ( self		, UpperCAmelCase_					)		->							Dict:
			lowerCamelCase     :			Tuple		=    'UNwant\u00E9d,running'
			lowerCamelCase     :			List[str]		=    'unwanted, running'
			return input_text, output_text




	def 			_UpperCamelCase    ( self					)		->							Optional[Any]:
			lowerCamelCase     :			Union[str, Any]		=    self.tokenizer_class(self.vocab_file					)

			lowerCamelCase     :			List[str]		=    tokenizer.tokenize('UNwant\u00E9d,running'					)
			self.assertListEqual(UpperCAmelCase_		, ['un', '##want', '##ed', ',', 'runn', '##ing']					)
			self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_					)		, [9, 6, 7, 12, 10, 11]					)




	@slow
	def 			_UpperCamelCase    ( self					)		->							int:
			lowerCamelCase     :			Tuple		=    self.tokenizer_class.from_pretrained('microsoft/mpnet-base'					)

			lowerCamelCase     :			Optional[int]		=    tokenizer.encode('sequence builders'		, add_special_tokens=UpperCAmelCase_					)
			lowerCamelCase     :			Optional[Any]		=    tokenizer.encode('multi-sequence build'		, add_special_tokens=UpperCAmelCase_					)

			lowerCamelCase     :			Optional[int]		=    tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_					)
			lowerCamelCase     :			Optional[int]		=    tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_		, UpperCAmelCase_					)

			assert encoded_sentence == [0] + text + [2]
			assert encoded_pair == [0] + text + [2] + [2] + text_a + [2]












def 	UpperCAmelCase_    (	__UpperCamelCase,				__UpperCamelCase	):
    SCREAMING_SNAKE_CASE__								=1.0
    for i in range(1,				r + 1	):
        ret *= (n + 1 - i) / i
    return round(__UpperCamelCase	)



def 	UpperCAmelCase_    (	__UpperCamelCase	):
    return choose(8 + n,				__UpperCamelCase	) + choose(9 + n,				__UpperCamelCase	) - 10



def 	UpperCAmelCase_    (	__UpperCamelCase	):
    return sum(non_bouncy_exact(__UpperCamelCase	) for i in range(1,				n + 1	)	)



def 	UpperCAmelCase_    (	__UpperCamelCase = 100	):
    return non_bouncy_upto(__UpperCamelCase	)


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






