




'''simple docstring'''


import random





class  __lowercase    :







   @staticmethod
   def 		UpperCamelCase__      (						UpperCamelCase   )					->     tuple[list[int], list[int]]:
     __a								=       [ord(A_   ) for i in text]
     __a								=       []
     __a								=       []
     for i in plain:
       __a								=       random.randint(1   ,				300   )
       __a								=       (i + k) * k
       cipher.append(A_   )
       key.append(A_   )
     return cipher, key







   @staticmethod
   def 		UpperCamelCase__      (						UpperCamelCase   ,				UpperCamelCase   )					->     str:
     __a								=       []
     for i in range(len(A_   )   ):
       __a								=       int((cipher[i] - (key[i]) ** 2) / key[i]   )
       plain.append(chr(A_   )   )
     return "".join(A_   )


if __name__ == "__main__":
  UpperCAmelCase_		,	UpperCAmelCase_					=   Onepad().encrypt("Hello")
  print(c, k)
  print(Onepad().decrypt(c, k))





"""simple docstring"""


from typing import TYPE_CHECKING

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


_lowercase				 =					{
    '''configuration_mctct''': ['''MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MCTCTConfig'''],
    '''feature_extraction_mctct''': ['''MCTCTFeatureExtractor'''],
    '''processing_mctct''': ['''MCTCTProcessor'''],
}


try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_lowercase				 =					[
		    '''MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''MCTCTForCTC''',
		    '''MCTCTModel''',
		    '''MCTCTPreTrainedModel''',
		]


if TYPE_CHECKING:
		from .configuration_mctct import MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP, MCTCTConfig
		from .feature_extraction_mctct import MCTCTFeatureExtractor
		from .processing_mctct import MCTCTProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_mctct import MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST, MCTCTForCTC, MCTCTModel, MCTCTPreTrainedModel

else:
		import sys

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