





import os
import unittest

from transformers import FunnelTokenizer, FunnelTokenizerFast
from transformers.models.funnel.tokenization_funnel import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class     __magic_name__     (							UpperCamelCase__			, unittest.TestCase							):





     """simple docstring"""



     __UpperCamelCase    			=   FunnelTokenizer
     __UpperCamelCase    			=   FunnelTokenizerFast
     __UpperCamelCase    			=   True
     __UpperCamelCase    			=   True



     def   SCREAMING_SNAKE_CASE						(							self				:str     ):





        '''simple docstring'''




        super().setUp()

        A_    : List[str]								=	[
            "<unk>",
            "<cls>",
            "<sep>",
            "want",
            "##want",
            "##ed",
            "wa",
            "un",
            "runn",
            "##ing",
            ",",
            "low",
            "lowest",
        ]
        A_    : List[Any]								=	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   SCREAMING_SNAKE_CASE						(							self				:str	,					**snake_case				:str     ):





        '''simple docstring'''




        return FunnelTokenizer.from_pretrained(self.tmpdirname	,					**__a     )



     def   SCREAMING_SNAKE_CASE						(							self				:Optional[int]	,					**snake_case				:List[Any]     ):





        '''simple docstring'''




        return FunnelTokenizerFast.from_pretrained(self.tmpdirname	,					**__a     )



     def   SCREAMING_SNAKE_CASE						(							self				:Union[str, Any]	,					snake_case				:Dict     ):





        '''simple docstring'''




        A_    : str								=	"UNwant\u00E9d,running"
        A_    : List[str]								=	"unwanted, running"
        return input_text, output_text



     def   SCREAMING_SNAKE_CASE						(							self				:Tuple     ):





        '''simple docstring'''




        A_    : Optional[Any]								=	self.tokenizer_class(self.vocab_file     )

        A_    : Optional[Any]								=	tokenizer.tokenize("UNwant\u00E9d,running"     )
        self.assertListEqual(__a	,					["un", "##want", "##ed", ",", "runn", "##ing"]     )
        self.assertListEqual(tokenizer.convert_tokens_to_ids(__a     )	,					[7, 4, 5, 10, 8, 9]     )





     def   SCREAMING_SNAKE_CASE						(							self				:str     ):





        '''simple docstring'''




        A_    : Tuple								=	self.get_tokenizers(do_lower_case=__a     )
        for tokenizer in tokenizers:
           A_    : Any								=	tokenizer("UNwant\u00E9d,running"     )
           A_    : str								=	len(inputs["input_ids"]     ) - 1
           self.assertListEqual(inputs["token_type_ids"]	,					[2] + [0] * sentence_len     )

           A_    : List[str]								=	tokenizer("UNwant\u00E9d,running"	,					"UNwant\u00E9d,running"     )
           self.assertListEqual(inputs["token_type_ids"]	,					[2] + [0] * sentence_len + [1] * sentence_len     )

'''simple docstring'''





import os
from math import logaa





def 	lowerCAmelCase_				(					snake_case_       : str = "base_exp.txt"			)    ->      int:


     '''simple docstring'''




     UpperCAmelCase_           =   0
     UpperCAmelCase_           =   0
     for i, line in enumerate(open(os.path.join(os.path.dirname(snake_case_			)					,    snake_case_			)			)			):
          UpperCAmelCase_    , UpperCAmelCase_           =   list(map(snake_case_					,    line.split(","			)			)			)
          if x * logaa(snake_case_			) > largest:
               UpperCAmelCase_           =   x * logaa(snake_case_			)
               UpperCAmelCase_           =   i + 1
     return result


if __name__ == "__main__":
    print(solution())




