


from typing import TYPE_CHECKING

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


_UpperCAmelCase            =		{
    """configuration_longformer""": [
        """LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """LongformerConfig""",
        """LongformerOnnxConfig""",
    ],
    """tokenization_longformer""": ["""LongformerTokenizer"""],
}

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_UpperCAmelCase            =		["""LongformerTokenizerFast"""]

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_UpperCAmelCase            =		[
	    """LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """LongformerForMaskedLM""",
	    """LongformerForMultipleChoice""",
	    """LongformerForQuestionAnswering""",
	    """LongformerForSequenceClassification""",
	    """LongformerForTokenClassification""",
	    """LongformerModel""",
	    """LongformerPreTrainedModel""",
	    """LongformerSelfAttention""",
	]

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_UpperCAmelCase            =		[
	    """TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """TFLongformerForMaskedLM""",
	    """TFLongformerForMultipleChoice""",
	    """TFLongformerForQuestionAnswering""",
	    """TFLongformerForSequenceClassification""",
	    """TFLongformerForTokenClassification""",
	    """TFLongformerModel""",
	    """TFLongformerPreTrainedModel""",
	    """TFLongformerSelfAttention""",
	]


if TYPE_CHECKING:
	from .configuration_longformer import (
	    LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    LongformerConfig,
	    LongformerOnnxConfig,
	)
	from .tokenization_longformer import LongformerTokenizer

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_longformer_fast import LongformerTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_longformer import (
		    LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    LongformerForMaskedLM,
		    LongformerForMultipleChoice,
		    LongformerForQuestionAnswering,
		    LongformerForSequenceClassification,
		    LongformerForTokenClassification,
		    LongformerModel,
		    LongformerPreTrainedModel,
		    LongformerSelfAttention,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_longformer import (
		    TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TFLongformerForMaskedLM,
		    TFLongformerForMultipleChoice,
		    TFLongformerForQuestionAnswering,
		    TFLongformerForSequenceClassification,
		    TFLongformerForTokenClassification,
		    TFLongformerModel,
		    TFLongformerPreTrainedModel,
		    TFLongformerSelfAttention,
		)

else:
	import sys

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







_UpperCAmelCase            =		"""ABCDEFGHIJKLMNOPQRSTUVWXYZ"""




def     UpperCamelCase						(	):
		'''simple docstring'''




		A_		:    Tuple         =				input('Enter message: '     )
		A_		:    int         =				input('Enter key [alphanumeric]: '     )
		A_		:    Optional[Any]         =				input('Encrypt/Decrypt [e/d]: '     )

		if mode.lower().startswith('e'     ):
				A_		:    List[Any]         =				'encrypt'
				A_		:    int         =				encrypt_message(__lowercase						,__lowercase     )
		elif mode.lower().startswith('d'     ):
				A_		:    Optional[Any]         =				'decrypt'
				A_		:    Dict         =				decrypt_message(__lowercase						,__lowercase     )

		print(f'''\n{mode.title()}ed message:'''     )
		print(__lowercase     )




def     UpperCamelCase						(	__lowercase						:			str						,__lowercase						:			str     ):
		'''simple docstring'''




		return translate_message(__lowercase						,__lowercase						,'encrypt'     )




def     UpperCamelCase						(	__lowercase						:			str						,__lowercase						:			str     ):
		'''simple docstring'''




		return translate_message(__lowercase						,__lowercase						,'decrypt'     )




def     UpperCamelCase						(	__lowercase						:			str						,__lowercase						:			str						,__lowercase						:			str     ):
		'''simple docstring'''




		A_		:    Tuple         =				[]
		A_		:    str         =				0
		A_		:    Optional[int]         =				key.upper()

		for symbol in message:
				A_		:    Optional[Any]         =				LETTERS.find(symbol.upper()     )
				if num != -1:
						if mode == "encrypt":
								num += LETTERS.find(key[key_index]     )
						elif mode == "decrypt":
								num -= LETTERS.find(key[key_index]     )

						num %= len(__lowercase     )

						if symbol.isupper():
								translated.append(LETTERS[num]     )
						elif symbol.islower():
								translated.append(LETTERS[num].lower()     )

						key_index += 1
						if key_index == len(__lowercase     ):
								A_		:    str         =				0
				else:
						translated.append(__lowercase     )
		return "".join(__lowercase     )


if __name__ == "__main__":
	main()






