'''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    ,     _SCREAMING_SNAKE_CASE    ,     _SCREAMING_SNAKE_CASE    ,     _SCREAMING_SNAKE_CASE    ,     _SCREAMING_SNAKE_CASE    ,     _SCREAMING_SNAKE_CASE )		->     Dict:
           return True

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

           A_     =   tokenizer.tokenize(_SCREAMING_SNAKE_CASE )
           self.assertListEqual(_SCREAMING_SNAKE_CASE    ,     _SCREAMING_SNAKE_CASE )

           A_     =   tokens + [tokenizer.unk_token]

           A_     =   [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(_SCREAMING_SNAKE_CASE )    ,     _SCREAMING_SNAKE_CASE )

           A_     =   tokenizer.decode(_SCREAMING_SNAKE_CASE )
           self.assertEqual(_SCREAMING_SNAKE_CASE    ,     _SCREAMING_SNAKE_CASE )












'''simple docstring'''







from functools import lru_cache






@lru_cache
def 		_lowercase		(	lowercase_  ):



		'''simple docstring'''







		if not isinstance(lowercase_						,							lowercase_  ):
				raise TypeError("k must be an integer."  )
		if k < 0:
				raise ValueError("k integer must be greater or equal to zero."  )
		if k == 0:
				return 0
		elif k == 1:
				return 1
		else:
				return fibonacci(k - 1  ) + fibonacci(k - 2  )






def 		_lowercase		(	lowercase_						,							lowercase_  ):



		'''simple docstring'''







		_snake_case	       =       len(lowercase_  )
		# Find m such that F_m >= n where F_i is the i_th fibonacci number.
		_snake_case	       =       0
		while True:
				if fibonacci(lowercase_  ) >= len_list:
						_snake_case	       =       i
						break
				i += 1
		_snake_case	       =       0
		while fibb_k > 0:
				_snake_case	       =       min(
				    offset + fibonacci(fibb_k - 1  )						,							len_list - 1  )  # Prevent out of range
				_snake_case	       =       arr[index_k]
				if item_k_1 == val:
						return index_k
				elif val < item_k_1:
						fibb_k -= 1
				elif val > item_k_1:
						offset += fibonacci(fibb_k - 1  )
						fibb_k -= 2
		else:
				return -1


if __name__ == "__main__":
						import doctest

						doctest.testmod()





