import unittest

from transformers import RoFormerTokenizer, RoFormerTokenizerFast
from transformers.testing_utils import require_rjieba, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_rjieba
@require_tokenizers
class 				a							(			__lowerCAmelCase       ,			unittest.TestCase       ):







 """simple docstring"""






 lowerCamelCase	:str    			=		RoFormerTokenizer
 lowerCamelCase	:Dict    			=		RoFormerTokenizerFast
 lowerCamelCase	:Optional[int]    			=		True
 lowerCamelCase	:Optional[int]    			=		True



 def      UpperCAmelCase							(					self							)  ->					int:
        super().setUp()



 def      UpperCAmelCase							(					self		,				**lowerCAmelCase_							)  ->					str:
        return self.tokenizer_class.from_pretrained("""junnyu/roformer_chinese_base"""		,				**lowerCAmelCase_							)



 def      UpperCAmelCase							(					self		,				**lowerCAmelCase_							)  ->					List[str]:
        return self.rust_tokenizer_class.from_pretrained("""junnyu/roformer_chinese_base"""		,				**lowerCAmelCase_							)



 def      UpperCAmelCase							(					self							)  ->					Tuple:
        _A        =  """永和服装饰品有限公司,今天天气非常好"""
        _A        =  """永和 服装 饰品 有限公司 , 今 天 天 气 非常 好"""
        return input_text, output_text



 def      UpperCAmelCase							(					self							)  ->					str:
        _A        =  self.get_tokenizer()
        _A   ,  _A        =  self.get_chinese_input_output_texts()
        _A        =  tokenizer.tokenize(lowerCAmelCase_							)

        self.assertListEqual(lowerCAmelCase_		,				output_text.split()							)

        _A        =  tokens + [tokenizer.unk_token]
        _A        =  [2_29_43, 2_13_32, 3_44_31, 4_59_04, 1_17, 3_06, 12_31, 12_31, 26_53, 3_39_94, 12_66, 1_00]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase_							)		,				lowerCAmelCase_							)



 def      UpperCAmelCase							(					self							)  ->					Union[str, Any]:
        _A        =  self.get_rust_tokenizer()
        _A   ,  _A        =  self.get_chinese_input_output_texts()
        _A        =  tokenizer.tokenize(lowerCAmelCase_							)
        self.assertListEqual(lowerCAmelCase_		,				output_text.split()							)
        _A        =  tokens + [tokenizer.unk_token]
        _A        =  [2_29_43, 2_13_32, 3_44_31, 4_59_04, 1_17, 3_06, 12_31, 12_31, 26_53, 3_39_94, 12_66, 1_00]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase_							)		,				lowerCAmelCase_							)



 def      UpperCAmelCase							(					self							)  ->					Any:
        pass



 def      UpperCAmelCase							(					self							)  ->					List[str]:
        pass



 def      UpperCAmelCase							(					self							)  ->					Dict:
        pass





def  snake_case  (       snake_case__			:str = "The quick brown fox jumps over the lazy dog"   ,	)						->   bool:
       _A        =  set()

       # Replace all the whitespace in our sentence
       _A        =  input_str.replace(""" """   ,	"""""")
       for alpha in input_str:
              if "a" <= alpha.lower() <= "z":
                     frequency.add(alpha.lower())
       return len(snake_case__) == 26






def  snake_case  (       snake_case__			:str = "The quick brown fox jumps over the lazy dog"   ,	)						->   bool:
       _A        =  [False] * 26
       for char in input_str:
              if char.islower():
                     _A        =  True
              elif char.isupper():
                     _A        =  True
       return all(snake_case__)






def  snake_case  (       snake_case__			:str = "The quick brown fox jumps over the lazy dog"   ,	)						->   bool:
       return len({char for char in input_str.lower() if char.isalpha()}) == 26






def  snake_case  (       )						->   None:
       from timeit import timeit

       _A        =  """from __main__ import is_pangram, is_pangram_faster, is_pangram_fastest"""
       print(timeit("""is_pangram()"""   ,	setup=snake_case__))
       print(timeit("""is_pangram_faster()"""   ,	setup=snake_case__))
       print(timeit("""is_pangram_fastest()"""   ,	setup=snake_case__))
       # 5.348480500048026, 2.6477354579837993, 1.8470395830227062
       # 5.036091582966037, 2.644472333951853,  1.8869528750656173


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    benchmark()




