


import numpy as np

lowerCamelCase_       :       Union[str, 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 				__A    :






 """simple docstring"""




 def __init__(		self						) ->					None:
     a					=np.array(__A						)


 def 				SCREAMING_SNAKE_CASE							(		self			,   __A						) ->					np.ndarray:
     a		,				a					=np.where(letter == self.SQUARE						)
     a					=np.concatenate([indexa + 1, indexa + 1]						)
     return indexes


 def 				SCREAMING_SNAKE_CASE							(		self			,   __A			,   __A						) ->					str:
     a					=self.SQUARE[indexa - 1, indexa - 1]
     return letter


 def 				SCREAMING_SNAKE_CASE							(		self			,   __A						) ->					str:
     a					=message.lower()
     a					=message.replace(''' '''			,   ''''''						)
     a					=message.replace('''j'''			,   '''i'''						)

     a					=np.empty((2, len(__A						))						)
     for letter_index in range(len(__A						)						):
         a					=self.letter_to_numbers(message[letter_index]						)

         a					=numbers[0]
         a					=numbers[1]

     a					=first_step.reshape(2 * len(__A						)						)
     a					=''''''
     for numbers_index in range(len(__A						)						):
         a					=int(second_step[numbers_index * 2]						)
         a					=int(second_step[(numbers_index * 2) + 1]						)
         a					=self.numbers_to_letter(__A			,   __A						)
         a					=encoded_message + letter

     return encoded_message





 def 				SCREAMING_SNAKE_CASE							(		self			,   __A						) ->					str:
     a					=message.lower()
     message.replace(''' '''			,   ''''''						)
     a					=np.empty(2 * len(__A						)						)
     for letter_index in range(len(__A						)						):
         a					=self.letter_to_numbers(message[letter_index]						)
         a					=numbers[0]
         a					=numbers[1]

     a					=first_step.reshape((2, len(__A						))						)
     a					=''''''
     for numbers_index in range(len(__A						)						):
         a					=int(second_step[0, numbers_index]						)
         a					=int(second_step[1, numbers_index]						)
         a					=self.numbers_to_letter(__A			,   __A						)
         a					=decoded_message + letter

     return decoded_message



"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


lowerCamelCase_       :       Union[str, Any]      						=  {"""processing_layoutxlm""": ["""LayoutXLMProcessor"""]}

try:
       if not is_sentencepiece_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCamelCase_       :       Optional[int]      						=  ["""LayoutXLMTokenizer"""]

try:
       if not is_tokenizers_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCamelCase_       :       Dict      						=  ["""LayoutXLMTokenizerFast"""]

if TYPE_CHECKING:
       from .processing_layoutxlm import LayoutXLMProcessor

       try:
              if not is_sentencepiece_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_layoutxlm import LayoutXLMTokenizer

       try:
              if not is_tokenizers_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_layoutxlm_fast import LayoutXLMTokenizerFast

else:
       import sys

       lowerCamelCase_       :       Union[str, Any]      						=  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)