






"""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 	_UpperCamelCase ( __UpperCamelCase							):



    '''simple docstring'''


    def 		A__      (      self   ,			__lowercase   ,			__lowercase   ,			__lowercase   ,			__lowercase   ,			__lowercase			):
     return True






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

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

     UpperCAmelCase__ 						=				tokens + [tokenizer.unk_token]

     UpperCAmelCase__ 						=				[13789, 13283, 1421, 8, 10, 1164, 13608, 16528, 63, 8, 9, 440, 108, 440, 121, 90, 8, 12, 0]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowercase			)   ,			__lowercase			)

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











"""simple docstring"""



from math import exp




def       snake_case__		(   _SCREAMING_SNAKE_CASE			)    ->float:
 return 8 * x - 2 * exp(-x			)




def       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)    ->float:
 UpperCAmelCase__ 						=				lower_bound
 UpperCAmelCase__ 						=				upper_bound
 for _ in range(0       ,	_SCREAMING_SNAKE_CASE			):
  UpperCAmelCase__						,	UpperCAmelCase__ 						=				xa, xa - (f(_SCREAMING_SNAKE_CASE			) * (xa - xa)) / (f(_SCREAMING_SNAKE_CASE			) - f(_SCREAMING_SNAKE_CASE			))
 return xa


if __name__ == "__main__":
 print(F'''Example: {secant_method(1, 3, 2)}''')



