'''simple docstring'''

def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






						_lowerCAmelCase										=''
						for ch in key:
												if ch == " " or ch not in key_no_dups and ch.isalpha():
																		key_no_dups += ch
						return key_no_dups



def 							UpperCamelCase__			(			a__      ):


						'''simple docstring'''






						_lowerCAmelCase										=[chr(i + 6_5      ) for i in range(2_6      )]
						# Remove duplicate characters from key
						_lowerCAmelCase										=remove_duplicates(key.upper()      )
						_lowerCAmelCase										=len(a__      )
						# First fill cipher with key characters
						_lowerCAmelCase										={alphabet[i]: char for i, char in enumerate(a__      )}
						# Then map remaining characters in alphabet to
						# the alphabet from the beginning
						for i in range(len(a__      )			,      2_6      ):
												_lowerCAmelCase										=alphabet[i - offset]
												# Ensure we are not mapping letters to letters previously mapped
												while char in key:
																		offset -= 1
																		_lowerCAmelCase										=alphabet[i - offset]
												_lowerCAmelCase										=char
						return cipher_alphabet



def 							UpperCamelCase__			(			a__			,      a__      ):


						'''simple docstring'''






						return "".join(cipher_map.get(a__			,      a__      ) for ch in message.upper()      )



def 							UpperCamelCase__			(			a__			,      a__      ):


						'''simple docstring'''






						_lowerCAmelCase										={v: k for k, v in cipher_map.items()}
						return "".join(rev_cipher_map.get(a__			,      a__      ) for ch in message.upper()      )



def 							UpperCamelCase__			(			):


						'''simple docstring'''






						_lowerCAmelCase										=input('Enter message to encode or decode: '      ).strip()
						_lowerCAmelCase										=input('Enter keyword: '      ).strip()
						_lowerCAmelCase										=input('Encipher or decipher? E/D:'      ).strip()[0].lower()
						try:
												_lowerCAmelCase										={'e': encipher, 'd': decipher}[option]
						except KeyError:
												raise KeyError('invalid input option'      )
						_lowerCAmelCase										=create_cipher_map(a__      )
						print(func(a__			,      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_torch_available,
)


lowercase_     		= {'''configuration_vit_mae''': ['''VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ViTMAEConfig''']}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowercase_     		= [
							    '''VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''ViTMAEForPreTraining''',
							    '''ViTMAELayer''',
							    '''ViTMAEModel''',
							    '''ViTMAEPreTrainedModel''',
							]

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowercase_     		= [
							    '''TFViTMAEForPreTraining''',
							    '''TFViTMAEModel''',
							    '''TFViTMAEPreTrainedModel''',
							]

if TYPE_CHECKING:
							from .configuration_vit_mae import VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMAEConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_vit_mae import (
														    VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST,
														    ViTMAEForPreTraining,
														    ViTMAELayer,
														    ViTMAEModel,
														    ViTMAEPreTrainedModel,
														)

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_vit_mae import TFViTMAEForPreTraining, TFViTMAEModel, TFViTMAEPreTrainedModel


else:
							import sys

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





