



def 							A     (					_UpperCAmelCase    :       str   )    ->			str:







			'''simple docstring'''
			_UpperCAmelCase			=       ''
			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 							A     (					_UpperCAmelCase    :       str   )    ->			dict[str, str]:







			'''simple docstring'''
			_UpperCAmelCase			=       [chr(i + 65   ) for i in range(26   )]
			# Remove duplicate characters from key
			_UpperCAmelCase			=       remove_duplicates(key.upper()   )
			_UpperCAmelCase			=       len(_UpperCAmelCase   )
			# First fill cipher with key characters
			_UpperCAmelCase			=       {alphabet[i]: char for i, char in enumerate(_UpperCAmelCase   )}
			# Then map remaining characters in alphabet to
			# the alphabet from the beginning
			for i in range(len(_UpperCAmelCase   )							,       26   ):
						_UpperCAmelCase			=       alphabet[i - offset]
						# Ensure we are not mapping letters to letters previously mapped
						while char in key:
									offset -= 1
									_UpperCAmelCase			=       alphabet[i - offset]
						_UpperCAmelCase			=       char
			return cipher_alphabet





def 							A     (					_UpperCAmelCase    :       str							,       _UpperCAmelCase    :       dict[str, str]   )    ->			str:







			'''simple docstring'''
			return "".join(cipher_map.get(_UpperCAmelCase							,       _UpperCAmelCase   ) for ch in message.upper()   )





def 							A     (					_UpperCAmelCase    :       str							,       _UpperCAmelCase    :       dict[str, str]   )    ->			str:







			'''simple docstring'''
			_UpperCAmelCase			=       {v: k for k, v in cipher_map.items()}
			return "".join(rev_cipher_map.get(_UpperCAmelCase							,       _UpperCAmelCase   ) for ch in message.upper()   )





def 							A     (					)    ->			None:







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


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							main()






from typing import TYPE_CHECKING

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


UpperCAmelCase__       =	{
    "configuration_mega": ["MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP", "MegaConfig", "MegaOnnxConfig"],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__       =	[
							    "MEGA_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "MegaForCausalLM",
							    "MegaForMaskedLM",
							    "MegaForMultipleChoice",
							    "MegaForQuestionAnswering",
							    "MegaForSequenceClassification",
							    "MegaForTokenClassification",
							    "MegaModel",
							    "MegaPreTrainedModel",
							]

if TYPE_CHECKING:
							from .configuration_mega import MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP, MegaConfig, MegaOnnxConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_mega import (
														    MEGA_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MegaForCausalLM,
														    MegaForMaskedLM,
														    MegaForMultipleChoice,
														    MegaForQuestionAnswering,
														    MegaForSequenceClassification,
														    MegaForTokenClassification,
														    MegaModel,
														    MegaPreTrainedModel,
														)

else:
							import sys

							UpperCAmelCase__       =	_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
