




'''simple docstring'''


import numpy as np

UpperCamelCase     =				[
    ['a', 'b', 'c', 'd', 'e'],
    ['f', 'g', 'h', 'i', 'k'],
    ['l', 'm', 'n', 'o', 'p'],
    ['q', 'r', 's', 't', 'u'],
    ['v', 'w', 'x', 'y', 'z'],
]






class 	lowerCAmelCase_  :







    '''simple docstring'''

    def __init__(   self							:       Tuple  ) ->		Union[str, Any]:







         '''simple docstring'''



         A:		str        =		np.array(_lowerCAmelCase  )



    def 				_snake_case    (   self							:       Union[str, Any]				,     SCREAMING_SNAKE_CASE_							:       str  ) ->		List[str]:







         '''simple docstring'''



         A    ,						A:		Optional[int]        =		np.where(letter == self.SQUARE  )
         A:		Optional[Any]        =		np.concatenate([indexa + 1, indexa + 1]  )
         return indexes



    def 				_snake_case    (   self							:       List[Any]				,     SCREAMING_SNAKE_CASE_							:       int				,     SCREAMING_SNAKE_CASE_							:       int  ) ->		int:







         '''simple docstring'''



         return self.SQUARE[indexa - 1, indexa - 1]



    def 				_snake_case    (   self							:       Dict				,     SCREAMING_SNAKE_CASE_							:       str  ) ->		Optional[int]:







         '''simple docstring'''



         A:		Union[str, Any]        =		message.lower()
         A:		int        =		message.replace('''j'''				,     '''i'''  )

         A:		List[Any]        =		''''''
         for letter_index in range(len(_lowerCAmelCase  )  ):
              if message[letter_index] != " ":
                   A:		Optional[Any]        =		self.letter_to_numbers(message[letter_index]  )
                   A:		Optional[int]        =		encoded_message + str(numbers[0]  ) + str(numbers[1]  )
              elif message[letter_index] == " ":
                   A:		List[str]        =		encoded_message + ''' '''

         return encoded_message




    def 				_snake_case    (   self							:       List[Any]				,     SCREAMING_SNAKE_CASE_							:       str  ) ->		Union[str, Any]:







         '''simple docstring'''



         A:		Tuple        =		message.replace(''' '''				,     '''  '''  )
         A:		List[str]        =		''''''
         for numbers_index in range(int(len(_lowerCAmelCase  ) / 2  )  ):
              if message[numbers_index * 2] != " ":
                   A:		Dict        =		message[numbers_index * 2]
                   A:		int        =		message[numbers_index * 2 + 1]

                   A:		List[Any]        =		self.numbers_to_letter(int(_lowerCAmelCase  )				,     int(_lowerCAmelCase  )  )
                   A:		Any        =		decoded_message + letter
              elif message[numbers_index * 2] == " ":
                   A:		Optional[int]        =		decoded_message + ''' '''

         return decoded_message












'''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_  (					UpperCAmelCase_       ):







  '''simple docstring'''

  def 				_snake_case    (   self							:       Optional[int]				,     SCREAMING_SNAKE_CASE_							:       Dict				,     SCREAMING_SNAKE_CASE_							:       Union[str, Any]				,     SCREAMING_SNAKE_CASE_							:       List[Any]				,     SCREAMING_SNAKE_CASE_							:       Dict				,     SCREAMING_SNAKE_CASE_							:       List[Any]  ) ->		int:







       '''simple docstring'''



       return True




  def 				_snake_case    (   self							:       Optional[int]  ) ->		List[str]:







       '''simple docstring'''



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

       A:		int        =		tokenizer.tokenize(SCREAMING_SNAKE_CASE_  )
       self.assertListEqual(SCREAMING_SNAKE_CASE_				,     SCREAMING_SNAKE_CASE_  )

       A:		Optional[int]        =		tokens + [tokenizer.unk_token]

       A:		str        =		[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(SCREAMING_SNAKE_CASE_  )				,     SCREAMING_SNAKE_CASE_  )

       A:		Any        =		tokenizer.decode(SCREAMING_SNAKE_CASE_  )
       self.assertEqual(SCREAMING_SNAKE_CASE_				,     SCREAMING_SNAKE_CASE_  )






