




from transformers.models.cpm.tokenization_cpm import CpmTokenizer
from transformers.testing_utils import custom_tokenizers

from ..xlnet.test_modeling_xlnet import XLNetModelTest




@custom_tokenizers
class  __lowerCAmelCase							(				lowerCAmelCase):






       def        SCREAMING_SNAKE_CASE     ( self:       Optional[Any]							,       _lowerCAmelCase:       str							,       _lowerCAmelCase:       str							,       _lowerCAmelCase:       Any							,       _lowerCAmelCase:       Union[str, Any]							,       _lowerCAmelCase:       str					):
         return True






       def        SCREAMING_SNAKE_CASE     ( self:       List[Any]					):
         lowercase     :Optional[Any]   						=    CpmTokenizer.from_pretrained("TsinghuaAI/CPM-Generate"					)
         lowercase     :Dict   						=    "Hugging Face大法好，谁用谁知道。"
         lowercase     :Dict   						=    "Hugging Face大法好,谁用谁知道。<unk>"
         lowercase     :Dict   						=    "▁Hu gg ing ▁ ▂ ▁F ace ▁大法 ▁好 ▁ , ▁谁 ▁用 ▁谁 ▁知 道 ▁ 。".split()

         lowercase     :List[str]   						=    tokenizer.tokenize(_lowerCAmelCase					)
         self.assertListEqual(_lowerCAmelCase							,       _lowerCAmelCase					)

         lowercase     :int   						=    tokens + [tokenizer.unk_token]

         lowercase     :List[Any]   						=    [1_37_89, 1_32_83, 14_21, 8, 10, 11_64, 1_36_08, 1_65_28, 63, 8, 9, 4_40, 1_08, 4_40, 1_21, 90, 8, 12, 0]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCAmelCase					)							,       _lowerCAmelCase					)

         lowercase     :Optional[Any]   						=    tokenizer.decode(_lowerCAmelCase					)
         self.assertEqual(_lowerCAmelCase							,       _lowerCAmelCase					)









def    UpperCAmelCase__	(  lowerCamelCase ):
  lowercase     :Optional[int]   						=    len(lowerCamelCase )
  if n in (0, 1):
    return 0
  return sum(query * (n - i - 1) for i, query in enumerate(sorted(lowerCamelCase ) ) )


if __name__ == "__main__":
     import doctest

     doctest.testmod()



