

'''simple docstring'''
import math




def 	UpperCamelCase   (       )		->	None:




  '''simple docstring'''



  lowercase									=input('''Enter message: '''	)
  lowercase									=int(input(f'Enter key [2-{len(lowercase_	) - 1}]: '	)	)
  lowercase									=input('''Encryption/Decryption [e/d]: '''	)

  if mode.lower().startswith('''e'''	):
    lowercase									=encrypt_message(lowercase_     ,					lowercase_	)
  elif mode.lower().startswith('''d'''	):
    lowercase									=decrypt_message(lowercase_     ,					lowercase_	)

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




def 	UpperCamelCase   (       lowercase_						:    int     ,					lowercase_						:    str	)		->	str:




  '''simple docstring'''



  lowercase									=[''''''] * key
  for col in range(lowercase_	):
    lowercase									=col
    while pointer < len(lowercase_	):
      cipher_text[col] += message[pointer]
      pointer += key
  return "".join(lowercase_	)




def 	UpperCamelCase   (       lowercase_						:    int     ,					lowercase_						:    str	)		->	str:




  '''simple docstring'''



  lowercase									=math.ceil(len(lowercase_	) / key	)
  lowercase									=key
  lowercase									=(num_cols * num_rows) - len(lowercase_	)
  lowercase									=[''''''] * num_cols
  lowercase									=0
  lowercase									=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)
    ):
      lowercase									=0
      row += 1

  return "".join(lowercase_	)


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     main()


# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_snake_case      = {
    '''configuration_efficientnet''': [
        '''EFFICIENTNET_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''EfficientNetConfig''',
        '''EfficientNetOnnxConfig''',
    ]
}

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

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _snake_case      = [
     '''EFFICIENTNET_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''EfficientNetForImageClassification''',
     '''EfficientNetModel''',
     '''EfficientNetPreTrainedModel''',
 ]

if TYPE_CHECKING:
 from .configuration_efficientnet import (
     EFFICIENTNET_PRETRAINED_CONFIG_ARCHIVE_MAP,
     EfficientNetConfig,
     EfficientNetOnnxConfig,
 )

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .image_processing_efficientnet import EfficientNetImageProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_efficientnet import (
      EFFICIENTNET_PRETRAINED_MODEL_ARCHIVE_LIST,
      EfficientNetForImageClassification,
      EfficientNetModel,
      EfficientNetPreTrainedModel,
  )

else:
 import sys

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


