


"""simple docstring"""






lowercase  		=			{
    """A""": ("""ABCDEFGHIJKLM""", """NOPQRSTUVWXYZ"""),
    """B""": ("""ABCDEFGHIJKLM""", """NOPQRSTUVWXYZ"""),
    """C""": ("""ABCDEFGHIJKLM""", """ZNOPQRSTUVWXY"""),
    """D""": ("""ABCDEFGHIJKLM""", """ZNOPQRSTUVWXY"""),
    """E""": ("""ABCDEFGHIJKLM""", """YZNOPQRSTUVWX"""),
    """F""": ("""ABCDEFGHIJKLM""", """YZNOPQRSTUVWX"""),
    """G""": ("""ABCDEFGHIJKLM""", """XYZNOPQRSTUVW"""),
    """H""": ("""ABCDEFGHIJKLM""", """XYZNOPQRSTUVW"""),
    """I""": ("""ABCDEFGHIJKLM""", """WXYZNOPQRSTUV"""),
    """J""": ("""ABCDEFGHIJKLM""", """WXYZNOPQRSTUV"""),
    """K""": ("""ABCDEFGHIJKLM""", """VWXYZNOPQRSTU"""),
    """L""": ("""ABCDEFGHIJKLM""", """VWXYZNOPQRSTU"""),
    """M""": ("""ABCDEFGHIJKLM""", """UVWXYZNOPQRST"""),
    """N""": ("""ABCDEFGHIJKLM""", """UVWXYZNOPQRST"""),
    """O""": ("""ABCDEFGHIJKLM""", """TUVWXYZNOPQRS"""),
    """P""": ("""ABCDEFGHIJKLM""", """TUVWXYZNOPQRS"""),
    """Q""": ("""ABCDEFGHIJKLM""", """STUVWXYZNOPQR"""),
    """R""": ("""ABCDEFGHIJKLM""", """STUVWXYZNOPQR"""),
    """S""": ("""ABCDEFGHIJKLM""", """RSTUVWXYZNOPQ"""),
    """T""": ("""ABCDEFGHIJKLM""", """RSTUVWXYZNOPQ"""),
    """U""": ("""ABCDEFGHIJKLM""", """QRSTUVWXYZNOP"""),
    """V""": ("""ABCDEFGHIJKLM""", """QRSTUVWXYZNOP"""),
    """W""": ("""ABCDEFGHIJKLM""", """PQRSTUVWXYZNO"""),
    """X""": ("""ABCDEFGHIJKLM""", """PQRSTUVWXYZNO"""),
    """Y""": ("""ABCDEFGHIJKLM""", """OPQRSTUVWXYZN"""),
    """Z""": ("""ABCDEFGHIJKLM""", """OPQRSTUVWXYZN"""),
}



def 			A__		(					_UpperCAmelCase    :      str	)							->	list[tuple[str, str]]:

	'''simple docstring'''


	return [alphabet[char] for char in key.upper()]



def 			A__		(					_UpperCAmelCase    :      str				,    _UpperCAmelCase    :      str	)							->	str:

	'''simple docstring'''


	snake_case__  :						Tuple		=      ""
	snake_case__  :						Dict		=      0
	snake_case__  :						List[str]		=      generate_table(_UpperCAmelCase	)
	for char in words.upper():
		cipher += get_opponent(table[count]				,    _UpperCAmelCase	)
		snake_case__  :						List[Any]		=      (count + 1) % len(_UpperCAmelCase	)
	return cipher



def 			A__		(					_UpperCAmelCase    :      str				,    _UpperCAmelCase    :      str	)							->	str:

	'''simple docstring'''


	return encrypt(_UpperCAmelCase				,    _UpperCAmelCase	)



def 			A__		(					_UpperCAmelCase    :      tuple[str, str]				,    _UpperCAmelCase    :      str	)							->	tuple[int, int]:

	'''simple docstring'''


	snake_case__  :						List[Any]		=      0 if char in table[0] else 1
	snake_case__  :						List[Any]		=      table[row].index(_UpperCAmelCase	)
	return row, col



def 			A__		(					_UpperCAmelCase    :      tuple[str, str]				,    _UpperCAmelCase    :      str	)							->	str:

	'''simple docstring'''


	snake_case__,					snake_case__  :						Union[str, Any]		=      get_position(_UpperCAmelCase				,    char.upper()	)
	if row == 1:
		return table[0][col]
	else:
		return table[1][col] if row == 0 else char


if __name__ == "__main__":
					import doctest

					doctest.testmod()  # Fist ensure that all our tests are passing...
					lowercase  		=			input("""Enter key: """).strip()
					lowercase  		=			input("""Enter text to encrypt: """).strip()
					lowercase  		=			encrypt(key, text)

					print(f"Encrypted: {cipher_text}")
					print(f"Decrypted with key: {decrypt(key, cipher_text)}")









"""simple docstring"""






from typing import TYPE_CHECKING

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


lowercase  		=			{
    """configuration_mobilevitv2""": [
        """MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """MobileViTV2Config""",
        """MobileViTV2OnnxConfig""",
    ],
}


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowercase  		=			[
					    """MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """MobileViTV2ForImageClassification""",
					    """MobileViTV2ForSemanticSegmentation""",
					    """MobileViTV2Model""",
					    """MobileViTV2PreTrainedModel""",
					]

if TYPE_CHECKING:
					from .configuration_mobilevitva import (
					    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    MobileViTVaConfig,
					    MobileViTVaOnnxConfig,
					)

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_mobilevitva import (
										    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
										    MobileViTVaForImageClassification,
										    MobileViTVaForSemanticSegmentation,
										    MobileViTVaModel,
										    MobileViTVaPreTrainedModel,
										)

else:
					import sys

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





