"""simple docstring"""





import os
import random
import sys

from . import cryptomath_module as cryptoMath  # noqa: N812
from . import rabin_miller as rabinMiller  # noqa: N812



def      lowerCamelCase_()->    None:
							print("""Making key files..."""  )
							make_key_files("""rsa"""     ,	1_024  )
							print("""Key files generation successful."""  )



def      lowerCamelCase_(__SCREAMING_SNAKE_CASE  )->    tuple[tuple[int, int], tuple[int, int]]:
							print("""Generating prime p..."""  )
							_SCREAMING_SNAKE_CASE		:						Dict			  =    rabinMiller.generate_large_prime(__SCREAMING_SNAKE_CASE  )
							print("""Generating prime q..."""  )
							_SCREAMING_SNAKE_CASE		:						int			  =    rabinMiller.generate_large_prime(__SCREAMING_SNAKE_CASE  )
							_SCREAMING_SNAKE_CASE		:						Any			  =    p * q

							print("""Generating e that is relatively prime to (p - 1) * (q - 1)..."""  )
							while True:
														_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    random.randrange(2 ** (key_size - 1)     ,	2 ** (key_size)  )
														if cryptoMath.gcd(__SCREAMING_SNAKE_CASE     ,	(p - 1) * (q - 1)  ) == 1:
																					break

							print("""Calculating d that is mod inverse of e..."""  )
							_SCREAMING_SNAKE_CASE		:						int			  =    cryptoMath.find_mod_inverse(__SCREAMING_SNAKE_CASE     ,	(p - 1) * (q - 1)  )

							_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    (n, e)
							_SCREAMING_SNAKE_CASE		:						List[Any]			  =    (n, d)
							return (public_key, private_key)



def      lowerCamelCase_(__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE  )->    None:
							if os.path.exists(F"""{name}_pubkey.txt"""  ) or os.path.exists(F"""{name}_privkey.txt"""  ):
														print("""\nWARNING:"""  )
														print(
														    F"""\"{name}_pubkey.txt\" or \"{name}_privkey.txt\" already exists. \n"""
														    """Use a different name or delete these files and re-run this program."""  )
														sys.exit()

							_SCREAMING_SNAKE_CASE  ,				_SCREAMING_SNAKE_CASE		:						Dict			  =    generate_key(__SCREAMING_SNAKE_CASE  )
							print(F"""\nWriting public key to file {name}_pubkey.txt..."""  )
							with open(F"""{name}_pubkey.txt"""     ,	"""w"""  ) as out_file:
														out_file.write(F"""{key_size},{public_key[0]},{public_key[1]}"""  )

							print(F"""Writing private key to file {name}_privkey.txt..."""  )
							with open(F"""{name}_privkey.txt"""     ,	"""w"""  ) as out_file:
														out_file.write(F"""{key_size},{private_key[0]},{private_key[1]}"""  )


if __name__ == "__main__":
			main()



"""simple docstring"""





from typing import TYPE_CHECKING

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


lowerCAmelCase_     =	{'''configuration_unispeech''': ['''UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''UniSpeechConfig''']}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase_     =	[
			    '''UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''UniSpeechForCTC''',
			    '''UniSpeechForPreTraining''',
			    '''UniSpeechForSequenceClassification''',
			    '''UniSpeechModel''',
			    '''UniSpeechPreTrainedModel''',
			]

if TYPE_CHECKING:
			from .configuration_unispeech import UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_unispeech import (
						    UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST,
						    UniSpeechForCTC,
						    UniSpeechForPreTraining,
						    UniSpeechForSequenceClassification,
						    UniSpeechModel,
						    UniSpeechPreTrainedModel,
						)

else:
			import sys

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


