


'''simple docstring'''






import math







def     UpperCamelCase_      (   ):
  '''simple docstring'''





  lowerCAmelCase_      :				Union[str, Any]      =       input("""Enter message: """ )
  lowerCAmelCase_      :				Optional[Any]      =       int(input(f'Enter key [2-{len(A__ ) - 1}]: ' ) )
  lowerCAmelCase_      :				Union[str, Any]      =       input("""Encryption/Decryption [e/d]: """ )

  if mode.lower().startswith("""e""" ):
    lowerCAmelCase_      :				List[str]      =       encrypt_message(A__							,   A__ )
  elif mode.lower().startswith("""d""" ):
    lowerCAmelCase_      :				Dict      =       decrypt_message(A__							,   A__ )

  # Append pipe symbol (vertical bar) to identify spaces at the end.
  print(f'Output:\n{text + "|"}' )







def     UpperCamelCase_      (   A__ :       int							,   A__ :       str ):
  '''simple docstring'''





  lowerCAmelCase_      :				List[Any]      =       [""""""] * key
  for col in range(A__ ):
    lowerCAmelCase_      :				Tuple      =       col
    while pointer < len(A__ ):
      cipher_text[col] += message[pointer]
      pointer += key
  return "".join(A__ )







def     UpperCamelCase_      (   A__ :       int							,   A__ :       str ):
  '''simple docstring'''





  lowerCAmelCase_      :				Tuple      =       math.ceil(len(A__ ) / key )
  lowerCAmelCase_      :				int      =       key
  lowerCAmelCase_      :				List[str]      =       (num_cols * num_rows) - len(A__ )
  lowerCAmelCase_      :				Any      =       [""""""] * num_cols
  lowerCAmelCase_      :				Dict      =       0
  lowerCAmelCase_      :				Any      =       0

  for symbol in message:
    plain_text[col] += symbol
    col += 1

    if (
        (col == num_cols)
        or (col == num_cols - 1)
        and (row >= num_rows - num_shaded_boxes)
    ):
      lowerCAmelCase_      :				Optional[int]      =       0
      row += 1

  return "".join(A__ )


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()







'''simple docstring'''






from typing import TYPE_CHECKING

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


__A :  List[str]    							=				{
    "configuration_owlvit": [
        "OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "OwlViTConfig",
        "OwlViTOnnxConfig",
        "OwlViTTextConfig",
        "OwlViTVisionConfig",
    ],
    "processing_owlvit": ["OwlViTProcessor"],
}


try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __A :  Optional[int]    							=				["OwlViTFeatureExtractor"]
  __A :  str    							=				["OwlViTImageProcessor"]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __A :  Tuple    							=				[
      "OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
      "OwlViTModel",
      "OwlViTPreTrainedModel",
      "OwlViTTextModel",
      "OwlViTVisionModel",
      "OwlViTForObjectDetection",
  ]

if TYPE_CHECKING:
  from .configuration_owlvit import (
      OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
      OwlViTConfig,
      OwlViTOnnxConfig,
      OwlViTTextConfig,
      OwlViTVisionConfig,
  )
  from .processing_owlvit import OwlViTProcessor

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_owlvit import OwlViTFeatureExtractor
    from .image_processing_owlvit import OwlViTImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_owlvit import (
        OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
        OwlViTForObjectDetection,
        OwlViTModel,
        OwlViTPreTrainedModel,
        OwlViTTextModel,
        OwlViTVisionModel,
    )

else:
  import sys

  __A :  List[Any]    							=				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



