



import torch

from transformers import PreTrainedModel

from .custom_configuration import CustomConfig, NoSuperInitConfig







class       _snake_case				(     __snake_case ):






   '''simple docstring'''






   A__      : int       =						CustomConfig


   def __init__(    self:     List[str]  ,lowerCamelCase_:     Dict							)	->      Tuple:
       super().__init__(lowerCamelCase_							)
       UpperCAmelCase_     :       List[str]  		=					torch.nn.Linear(config.hidden_size  ,config.hidden_size							)


   def       A__    (    self:     List[Any]  ,lowerCamelCase_:     Union[str, Any]							)	->      str:
       return self.linear(lowerCamelCase_							)






   def       A__    (    self:     int  ,lowerCamelCase_:     Dict							)	->      str:
       pass







class       _snake_case				(     __snake_case ):






   '''simple docstring'''






   A__      : str       =						NoSuperInitConfig


   def __init__(    self:     Any  ,lowerCamelCase_:     int							)	->      List[str]:
       super().__init__(lowerCamelCase_							)
       UpperCAmelCase_     :       Any  		=					torch.nn.Linear(config.attribute  ,config.attribute							)


   def       A__    (    self:     int  ,lowerCamelCase_:     int							)	->      List[str]:
       return self.linear(lowerCamelCase_							)






   def       A__    (    self:     Optional[Any]  ,lowerCamelCase_:     List[str]							)	->      str:
       pass

'''simple docstring'''

import numpy as np

_lowerCamelCase :				int														= [
    ["""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__  :



   def __init__(    self     )				->     None:
        """simple docstring"""





        _UpperCamelCase  :Any       =np.array(lowerCAmelCase__     )



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__     )				->     np.ndarray:
        """simple docstring"""





        _UpperCamelCase       ,      _UpperCamelCase  :str       =np.where(letter == self.SQUARE     )
        _UpperCamelCase  :Union[str, Any]       =np.concatenate([indexa + 1, indexa + 1]     )
        return indexes



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__					,      lowerCAmelCase__     )				->     str:
        """simple docstring"""





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



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__     )				->     str:
        """simple docstring"""





        _UpperCamelCase  :str       =message.lower()
        _UpperCamelCase  :List[Any]       =message.replace("""j"""					,      """i"""     )

        _UpperCamelCase  :List[str]       =""""""
        for letter_index in range(len(lowerCAmelCase__     )     ):
             if message[letter_index] != " ":
                  _UpperCamelCase  :Dict       =self.letter_to_numbers(message[letter_index]     )
                  _UpperCamelCase  :List[Any]       =encoded_message + str(numbers[0]     ) + str(numbers[1]     )
             elif message[letter_index] == " ":
                  _UpperCamelCase  :List[Any]       =encoded_message + """ """

        return encoded_message




   def  _UpperCamelCase		(    self					,      lowerCAmelCase__     )				->     str:
        """simple docstring"""





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

                  _UpperCamelCase  :Dict       =self.numbers_to_letter(int(lowerCAmelCase__     )					,      int(lowerCAmelCase__     )     )
                  _UpperCamelCase  :Union[str, Any]       =decoded_message + letter
             elif message[numbers_index * 2] == " ":
                  _UpperCamelCase  :Dict       =decoded_message + """ """

        return decoded_message