
import numpy as np

lowercase  :					List[Any]						    =							[
    ["""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 __snake_case		:
    def __init__(  self      ):



           '''simple docstring'''







           lowercase							:     int       	=      np.array(snake_case      )
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case      ):



           '''simple docstring'''







           lowercase	,			lowercase							:     Tuple       	=      np.where(letter == self.SQUARE      )
           lowercase							:     List[str]       	=      np.concatenate([indexa + 1, indexa + 1]      )
           return indexes
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case		,snake_case      ):



           '''simple docstring'''







           lowercase							:     str       	=      self.SQUARE[indexa - 1, indexa - 1]
           return letter
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case      ):



           '''simple docstring'''







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

           lowercase							:     List[str]       	=      np.empty((2, len(snake_case      ))      )
           for letter_index in range(len(snake_case      )      ):
                  lowercase							:     List[str]       	=      self.letter_to_numbers(message[letter_index]      )

                  lowercase							:     List[str]       	=      numbers[0]
                  lowercase							:     Union[str, Any]       	=      numbers[1]

           lowercase							:     str       	=      first_step.reshape(2 * len(snake_case      )      )
           lowercase							:     Dict       	=      """"""
           for numbers_index in range(len(snake_case      )      ):
                  lowercase							:     Any       	=      int(second_step[numbers_index * 2]      )
                  lowercase							:     Optional[int]       	=      int(second_step[(numbers_index * 2) + 1]      )
                  lowercase							:     List[str]       	=      self.numbers_to_letter(snake_case		,snake_case      )
                  lowercase							:     Tuple       	=      encoded_message + letter

           return encoded_message
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case      ):



           '''simple docstring'''







           lowercase							:     Optional[Any]       	=      message.lower()
           message.replace(""" """		,""""""      )
           lowercase							:     Dict       	=      np.empty(2 * len(snake_case      )      )
           for letter_index in range(len(snake_case      )      ):
                  lowercase							:     Optional[int]       	=      self.letter_to_numbers(message[letter_index]      )
                  lowercase							:     List[str]       	=      numbers[0]
                  lowercase							:     Any       	=      numbers[1]

           lowercase							:     Optional[int]       	=      first_step.reshape((2, len(snake_case      ))      )
           lowercase							:     Tuple       	=      """"""
           for numbers_index in range(len(snake_case      )      ):
                  lowercase							:     Any       	=      int(second_step[0, numbers_index]      )
                  lowercase							:     Optional[int]       	=      int(second_step[1, numbers_index]      )
                  lowercase							:     List[str]       	=      self.numbers_to_letter(snake_case		,snake_case      )
                  lowercase							:     Any       	=      decoded_message + letter

           return decoded_message







"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


lowerCamelCase_     :						int						=					{}


try:
   if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase_     :						Tuple						=					['MLukeTokenizer']

if TYPE_CHECKING:
   try:
      if not is_sentencepiece_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_mluke import MLukeTokenizer


else:
   import sys

   lowerCamelCase_     :						List[str]						=					_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)