

"""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    (      lowercase  ):







 """simple docstring"""







 def    _lowercase					(     self				:     Any,   UpperCAmelCase__				:     List[Any],   UpperCAmelCase__				:     Any,   UpperCAmelCase__				:     List[Any],   UpperCAmelCase__				:     Optional[Any],   UpperCAmelCase__				:     str      ):
    return True



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

    __lowercase								=		tokenizer.tokenize(UpperCAmelCase__      )
    self.assertListEqual(UpperCAmelCase__,   UpperCAmelCase__      )

    __lowercase								=		tokens + [tokenizer.unk_token]

    __lowercase								=		[1_3_7_8_9, 1_3_2_8_3, 1_4_2_1, 8, 1_0, 1_1_6_4, 1_3_6_0_8, 1_6_5_2_8, 6_3, 8, 9, 4_4_0, 1_0_8, 4_4_0, 1_2_1, 9_0, 8, 1_2, 0]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase__      ),   UpperCAmelCase__      )

    __lowercase								=		tokenizer.decode(UpperCAmelCase__      )
    self.assertEqual(UpperCAmelCase__,   UpperCAmelCase__      )







"""simple docstring"""





def     _A    (    UpperCamelCase_	:			int,     UpperCamelCase_	:			int = 1000)      ->		str:
   '''simple docstring'''


   if (not isinstance(UpperCamelCase_,     UpperCamelCase_)) or (digit_position <= 0):
      raise ValueError("Digit position must be a positive integer")
   elif (not isinstance(UpperCamelCase_,     UpperCamelCase_)) or (precision < 0):
      raise ValueError("Precision must be a nonnegative integer")

   # compute an approximation of (16 ** (n - 1)) * pi whose fractional part is mostly
   # accurate
   __lowercase								=		(
       4 * _subsum(UpperCamelCase_,     1,     UpperCamelCase_)
       - 2 * _subsum(UpperCamelCase_,     4,     UpperCamelCase_)
       - _subsum(UpperCamelCase_,     5,     UpperCamelCase_)
       - _subsum(UpperCamelCase_,     6,     UpperCamelCase_)
   )

   # return the first hex digit of the fractional part of the result
   return hex(int((sum_result % 1) * 16))[2:]




def     _A    (    UpperCamelCase_	:			int,     UpperCamelCase_	:			int,     UpperCamelCase_	:			int)      ->		float:
   '''simple docstring'''


   __lowercase								=		0.0
   for sum_index in range(digit_pos_to_extract + precision):
      __lowercase								=		8 * sum_index + denominator_addend
      if sum_index < digit_pos_to_extract:
         # if the exponential term is an integer and we mod it by the denominator
         # before dividing, only the integer part of the sum will change;
         # the fractional part will not
         __lowercase								=		pow(
             16,     digit_pos_to_extract - 1 - sum_index,     UpperCamelCase_)
      else:
         __lowercase								=		pow(16,     digit_pos_to_extract - 1 - sum_index)
      total += exponential_term / denominator
   return total


if __name__ == "__main__":
   import doctest

   doctest.testmod()




