


from string import ascii_uppercase




def      a_				(   SCREAMING_SNAKE_CASE__ :				str		,      SCREAMING_SNAKE_CASE__ :				str		,      SCREAMING_SNAKE_CASE__ :				bool = False		,      SCREAMING_SNAKE_CASE__ :				str = ascii_uppercase					):
       '''simple docstring'''





       _lowerCamelCase	:		Any          =keyword.upper()
       _lowerCamelCase	:		List[str]          =plaintext.upper()
       _lowerCamelCase	:		Optional[Any]          =set(SCREAMING_SNAKE_CASE__					)

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

       # create a shifted version of the alphabet
       _lowerCamelCase	:		List[str]          =unique_chars + [
           char for char in alphabet if char not in unique_chars
       ]

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

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

                     # map current letter to letter in modified alphabet
                     _lowerCamelCase	:		List[str]          =row[column]
                     letter_index += 1

       if verbose:
              print(SCREAMING_SNAKE_CASE__					)
       # 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'))






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase						 =	{'configuration_visual_bert': ['VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'VisualBertConfig']}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase						 =	[
     'VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST',
     'VisualBertForMultipleChoice',
     'VisualBertForPreTraining',
     'VisualBertForQuestionAnswering',
     'VisualBertForRegionToPhraseAlignment',
     'VisualBertForVisualReasoning',
     'VisualBertLayer',
     'VisualBertModel',
     'VisualBertPreTrainedModel',
 ]


if TYPE_CHECKING:
 from .configuration_visual_bert import VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, VisualBertConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_visual_bert import (
      VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
      VisualBertForMultipleChoice,
      VisualBertForPreTraining,
      VisualBertForQuestionAnswering,
      VisualBertForRegionToPhraseAlignment,
      VisualBertForVisualReasoning,
      VisualBertLayer,
      VisualBertModel,
      VisualBertPreTrainedModel,
  )


else:
 import sys

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


