



'''simple docstring'''







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__     (     _A				):






	'''simple docstring'''

	def      lowercase__							(  self		:  Optional[Any]   ,		__A		:  str   ,		__A		:  str   ,		__A		:  Any   ,		__A		:  Union[str, Any]   ,		__A		:  str					)     ->			str:




								'''simple docstring'''





								return True




	def      lowercase__							(  self		:  List[Any]					)     ->			Dict:




								'''simple docstring'''





								lowerCAmelCase__  =   CpmTokenizer.from_pretrained("""TsinghuaAI/CPM-Generate"""					)
								lowerCAmelCase__  =   "Hugging Face大法好，谁用谁知道。"
								lowerCAmelCase__  =   "Hugging Face大法好,谁用谁知道。<unk>"
								lowerCAmelCase__  =   "▁Hu gg ing ▁ ▂ ▁F ace ▁大法 ▁好 ▁ , ▁谁 ▁用 ▁谁 ▁知 道 ▁ 。".split()

								lowerCAmelCase__  =   tokenizer.tokenize(_lowerCAmelCase					)
								self.assertListEqual(_lowerCAmelCase   ,		_lowerCAmelCase					)

								lowerCAmelCase__  =   tokens + [tokenizer.unk_token]

								lowerCAmelCase__  =   [1_3789, 1_3283, 1421, 8, 10, 1164, 1_3608, 1_6528, 63, 8, 9, 440, 108, 440, 121, 90, 8, 12, 0]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCAmelCase					)   ,		_lowerCAmelCase					)

								lowerCAmelCase__  =   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()



