


'''simple docstring'''



import math






def   lowerCamelCase							():
					__a			:       Tuple					    =  input('Enter message: '   )
					__a			:       Optional[Any]					    =  int(input(F"""Enter key [2-{len(SCREAMING_SNAKE_CASE_   ) - 1}]: """   )   )
					__a			:       Any					    =  input('Encryption/Decryption [e/d]: '   )

					if mode.lower().startswith('e'   ):
										__a			:       Dict					    =  encrypt_message(SCREAMING_SNAKE_CASE_						,      SCREAMING_SNAKE_CASE_   )
					elif mode.lower().startswith('d'   ):
										__a			:       Dict					    =  decrypt_message(SCREAMING_SNAKE_CASE_						,      SCREAMING_SNAKE_CASE_   )

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






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE      :   Optional[int]						,      _SCREAMING_SNAKE_CASE      :   Any   ):
					__a			:       str					    =  [""] * key
					for col in range(SCREAMING_SNAKE_CASE_   ):
										__a			:       str					    =  col
										while pointer < len(SCREAMING_SNAKE_CASE_   ):
															cipher_text[col] += message[pointer]
															pointer += key
					return "".join(SCREAMING_SNAKE_CASE_   )






def   lowerCamelCase							(_SCREAMING_SNAKE_CASE      :   str						,      _SCREAMING_SNAKE_CASE      :   Optional[int]   ):
					__a			:       Any					    =  math.ceil(len(SCREAMING_SNAKE_CASE_   ) / key   )
					__a			:       Union[str, Any]					    =  key
					__a			:       Union[str, Any]					    =  (num_cols * num_rows) - len(SCREAMING_SNAKE_CASE_   )
					__a			:       List[Any]					    =  [""] * num_cols
					__a			:       Optional[int]					    =  0
					__a			:       Union[str, 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)
										):
															__a			:       Optional[int]					    =  0
															row += 1

					return "".join(SCREAMING_SNAKE_CASE_   )


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()







from typing import TYPE_CHECKING

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


_snake_case             =     {
    '''configuration_vision_encoder_decoder''': ['''VisionEncoderDecoderConfig''', '''VisionEncoderDecoderOnnxConfig''']
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _snake_case             =     ['''VisionEncoderDecoderModel''']

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _snake_case             =     ['''TFVisionEncoderDecoderModel''']

try:
   if not is_flax_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _snake_case             =     ['''FlaxVisionEncoderDecoderModel''']

if TYPE_CHECKING:
   from .configuration_vision_encoder_decoder import VisionEncoderDecoderConfig, VisionEncoderDecoderOnnxConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_vision_encoder_decoder import VisionEncoderDecoderModel

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_vision_encoder_decoder import TFVisionEncoderDecoderModel

   try:
      if not is_flax_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_flax_vision_encoder_decoder import FlaxVisionEncoderDecoderModel

else:
   import sys

   _snake_case             =     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



