



'''simple docstring'''





from __future__ import annotations



def     UpperCAmelCase     (    a_      ,		a_		)   ->       str:



   """simple docstring"""






   A_						,  A_						,  A_  :		List[str]						=					"""""", """""", """"""
   A_  :		Optional[int]						=					[]

   for character in message_part:
      tmp.append(character_to_number[character]		)

   for each in tmp:
      one += each[0]
      two += each[1]
      three += each[2]

   return one + two + three



def     UpperCAmelCase     (    a_      ,		a_		)   ->       tuple[str, str, str]:



   """simple docstring"""






   A_						,  A_  :		Optional[Any]						=					"""""", """"""
   A_  :		List[str]						=					[]

   for character in message_part:
      this_part += character_to_number[character]

   for digit in this_part:
      tmp += digit
      if len(a_		) == len(a_		):
         result.append(a_		)
         A_  :		Optional[Any]						=					""""""

   return result[0], result[1], result[2]



def     UpperCAmelCase     (    a_      ,		a_		)   ->       tuple[str, str, dict[str, str], dict[str, str]]:



   """simple docstring"""






   A_  :		Dict						=					alphabet.replace(""" """      ,		""""""		).upper()
   A_  :		str						=					message.replace(""" """      ,		""""""		).upper()

   # Check length and characters
   if len(a_		) != 2_7:
      raise KeyError("""Length of alphabet has to be 27."""		)
   for each in message:
      if each not in alphabet:
         raise ValueError("""Each message character has to be included in alphabet!"""		)

    # Generate dictionares
   A_  :		int						=					(
       """111""",
       """112""",
       """113""",
       """121""",
       """122""",
       """123""",
       """131""",
       """132""",
       """133""",
       """211""",
       """212""",
       """213""",
       """221""",
       """222""",
       """223""",
       """231""",
       """232""",
       """233""",
       """311""",
       """312""",
       """313""",
       """321""",
       """322""",
       """323""",
       """331""",
       """332""",
       """333""",
   )
   A_  :		Union[str, Any]						=					{}
   A_  :		List[Any]						=					{}
   for letter, number in zip(a_      ,		a_		):
      A_  :		int						=					number
      A_  :		List[Any]						=					letter

   return message, alphabet, character_to_number, number_to_character



def     UpperCAmelCase     (    a_      ,		a_ = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."      ,		a_ = 5		)   ->       str:



   """simple docstring"""






   A_						,  A_						,  A_						,  A_  :		List[str]						=					__prepare(
       a_      ,		a_		)
   A_						,  A_  :		Dict						=					"""""", """"""

   for i in range(0      ,		len(a_		) + 1      ,		a_		):
      encrypted_numeric += __encrypt_part(
          message[i : i + period]      ,		a_		)

   for i in range(0      ,		len(a_		)      ,		3		):
      encrypted += number_to_character[encrypted_numeric[i : i + 3]]

   return encrypted



def     UpperCAmelCase     (    a_      ,		a_ = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."      ,		a_ = 5		)   ->       str:



   """simple docstring"""






   A_						,  A_						,  A_						,  A_  :		Optional[Any]						=					__prepare(
       a_      ,		a_		)
   A_  :		Tuple						=					[]
   A_  :		Union[str, Any]						=					""""""

   for i in range(0      ,		len(a_		) + 1      ,		a_		):
      A_						,  A_						,  A_  :		List[str]						=					__decrypt_part(message[i : i + period]      ,		a_		)

      for j in range(0      ,		len(a_		)		):
         decrypted_numeric.append(a[j] + b[j] + c[j]		)

   for each in decrypted_numeric:
      decrypted += number_to_character[each]

   return decrypted


if __name__ == "__main__":
  UpperCamelCase__    :     List[Any]			  =   'DEFEND THE EAST WALL OF THE CASTLE.'
  UpperCamelCase__    :     Any			  =   encrypt_message(msg, 'EPSDUCVWYM.ZLKXNBTFGORIJHAQ')
  UpperCamelCase__    :     List[Any]			  =   decrypt_message(encrypted, 'EPSDUCVWYM.ZLKXNBTFGORIJHAQ')
  print(f'Encrypted: {encrypted}\nDecrypted: {decrypted}')





'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCamelCase__    :     List[Any]			  =   {
    'configuration_layoutlm': ['LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LayoutLMConfig', 'LayoutLMOnnxConfig'],
    'tokenization_layoutlm': ['LayoutLMTokenizer'],
}

try:
  if not is_tokenizers_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCamelCase__    :     Any			  =   ['LayoutLMTokenizerFast']

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCamelCase__    :     Optional[Any]			  =   [
      'LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST',
      'LayoutLMForMaskedLM',
      'LayoutLMForSequenceClassification',
      'LayoutLMForTokenClassification',
      'LayoutLMForQuestionAnswering',
      'LayoutLMModel',
      'LayoutLMPreTrainedModel',
  ]

try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCamelCase__    :     str			  =   [
      'TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST',
      'TFLayoutLMForMaskedLM',
      'TFLayoutLMForSequenceClassification',
      'TFLayoutLMForTokenClassification',
      'TFLayoutLMForQuestionAnswering',
      'TFLayoutLMMainLayer',
      'TFLayoutLMModel',
      'TFLayoutLMPreTrainedModel',
  ]


if TYPE_CHECKING:
  from .configuration_layoutlm import LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMConfig, LayoutLMOnnxConfig
  from .tokenization_layoutlm import LayoutLMTokenizer

  try:
    if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .tokenization_layoutlm_fast import LayoutLMTokenizerFast

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_layoutlm import (
        LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
        LayoutLMForMaskedLM,
        LayoutLMForQuestionAnswering,
        LayoutLMForSequenceClassification,
        LayoutLMForTokenClassification,
        LayoutLMModel,
        LayoutLMPreTrainedModel,
    )
  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_layoutlm import (
        TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
        TFLayoutLMForMaskedLM,
        TFLayoutLMForQuestionAnswering,
        TFLayoutLMForSequenceClassification,
        TFLayoutLMForTokenClassification,
        TFLayoutLMMainLayer,
        TFLayoutLMModel,
        TFLayoutLMPreTrainedModel,
    )

else:
  import sys

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