'''simple docstring'''

from string import ascii_uppercase



def lowerCamelCase__						(       A_       ,			A_       ,			A_ = False       ,			A_ = ascii_uppercase       ):
 UpperCAmelCase_				       =					keyword.upper()
 UpperCAmelCase_				       =					plaintext.upper()
 UpperCAmelCase_				       =					set(A_       )

 # create a list of unique characters in the keyword - their order matters
 # it determines how we will map plaintext characters to the ciphertext
 UpperCAmelCase_				       =					[]
 for char in keyword:
  if char in alphabet_set and char not in unique_chars:
   unique_chars.append(A_       )
    # the number of those unique characters will determine the number of rows
 UpperCAmelCase_				       =					len(A_       )

 # create a shifted version of the alphabet
 UpperCAmelCase_				       =					unique_chars + [
     char for char in alphabet if char not in unique_chars
 ]

 # create a modified alphabet by splitting the shifted alphabet into rows
 UpperCAmelCase_				       =					[
     shifted_alphabet[k : k + num_unique_chars_in_keyword]
     for k in range(0       ,			26       ,			A_       )
 ]

 # map the alphabet characters to the modified alphabet characters
 # going 'vertically' through the modified alphabet - consider columns first
 UpperCAmelCase_				       =					{}
 UpperCAmelCase_				       =					0
 for column in range(A_       ):
  for row in modified_alphabet:
   # if current row (the last one) is too short, break out of loop
   if len(A_       ) <= column:
    break

   # map current letter to letter in modified alphabet
   UpperCAmelCase_				       =					row[column]
   letter_index += 1

 if verbose:
  print(A_       )
 # create the encrypted text by mapping the plaintext to the modified alphabet
 return "".join(mapping[char] if char in mapping else char for char in plaintext       )


if __name__ == "__main__":
      # example use
      print(mixed_keyword('''college''', '''UNIVERSITY'''))

'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__snake_case       :   int  		=    {
    '''configuration_videomae''': ['''VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''VideoMAEConfig'''],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __snake_case       :   Optional[Any]  		=    [
          '''VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''VideoMAEForPreTraining''',
          '''VideoMAEModel''',
          '''VideoMAEPreTrainedModel''',
          '''VideoMAEForVideoClassification''',
      ]

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __snake_case       :   str  		=    ['''VideoMAEFeatureExtractor''']
      __snake_case       :   Any  		=    ['''VideoMAEImageProcessor''']

if TYPE_CHECKING:
      from .configuration_videomae import VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP, VideoMAEConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_videomae import (
                VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST,
                VideoMAEForPreTraining,
                VideoMAEForVideoClassification,
                VideoMAEModel,
                VideoMAEPreTrainedModel,
            )

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .feature_extraction_videomae import VideoMAEFeatureExtractor
            from .image_processing_videomae import VideoMAEImageProcessor

else:
      import sys

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