


"""simple docstring"""




import os
import random
import sys

from . import cryptomath_module as cryptomath
from . import rabin_miller

__UpperCamelCase		= 3


def        lowercase     (SCREAMING_SNAKE_CASE_						:							int    )  ->		Optional[Any]:
						print('Generating primitive root of p'    )
						while True:
												SCREAMING_SNAKE_CASE						=   random.randrange(3					,     _SCREAMING_SNAKE_CASE    )
												if pow(_SCREAMING_SNAKE_CASE					,     2					,     _SCREAMING_SNAKE_CASE    ) == 1:
																		continue
												if pow(_SCREAMING_SNAKE_CASE					,     _SCREAMING_SNAKE_CASE					,     _SCREAMING_SNAKE_CASE    ) == 1:
																		continue
												return g


def        lowercase     (SCREAMING_SNAKE_CASE_						:							int    )  ->		Optional[int]:
						print('Generating prime p...'    )
						SCREAMING_SNAKE_CASE						=   rabin_miller.generate_large_prime(_SCREAMING_SNAKE_CASE    )  # select large prime number.
						SCREAMING_SNAKE_CASE						=   primitive_root(_SCREAMING_SNAKE_CASE    )  # one primitive root on modulo p.
						SCREAMING_SNAKE_CASE						=   random.randrange(3					,     _SCREAMING_SNAKE_CASE    )  # private_key -> have to be greater than 2 for safety.
						SCREAMING_SNAKE_CASE						=   cryptomath.find_mod_inverse(pow(_SCREAMING_SNAKE_CASE					,     _SCREAMING_SNAKE_CASE					,     _SCREAMING_SNAKE_CASE    )					,     _SCREAMING_SNAKE_CASE    )

						SCREAMING_SNAKE_CASE						=   (key_size, e_a, e_a, p)
						SCREAMING_SNAKE_CASE						=   (key_size, d)

						return public_key, private_key


def        lowercase     (SCREAMING_SNAKE_CASE_						:							str					,     SCREAMING_SNAKE_CASE_						:							int    )  ->		Dict:
						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						=   generate_key(_SCREAMING_SNAKE_CASE    )
						print(F'\nWriting public key to file {name}_pubkey.txt...'    )
						with open(F'{name}_pubkey.txt'					,     'w'    ) as fo:
												fo.write(F'{public_key[0]},{public_key[1]},{public_key[2]},{public_key[3]}'    )

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


def        lowercase     ()  ->		Dict:
						print('Making key files...'    )
						make_key_files('elgamal'					,     20_48    )
						print('Key files generation successful'    )


if __name__ == "__main__":
	main()



from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE		:     Union[str, Any]         =	{
    "configuration_bridgetower": [
        "BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BridgeTowerConfig",
        "BridgeTowerTextConfig",
        "BridgeTowerVisionConfig",
    ],
    "processing_bridgetower": ["BridgeTowerProcessor"],
}

try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	SCREAMING_SNAKE_CASE		:     Optional[Any]         =	["BridgeTowerImageProcessor"]

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	SCREAMING_SNAKE_CASE		:     Tuple         =	[
	    "BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST",
	    "BridgeTowerForContrastiveLearning",
	    "BridgeTowerForImageAndTextRetrieval",
	    "BridgeTowerForMaskedLM",
	    "BridgeTowerModel",
	    "BridgeTowerPreTrainedModel",
	]


if TYPE_CHECKING:
	from .configuration_bridgetower import (
	    BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    BridgeTowerConfig,
	    BridgeTowerTextConfig,
	    BridgeTowerVisionConfig,
	)
	from .processing_bridgetower import BridgeTowerProcessor

	try:
		if not is_vision_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .image_processing_bridgetower import BridgeTowerImageProcessor

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_bridgetower import (
		    BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    BridgeTowerForContrastiveLearning,
		    BridgeTowerForImageAndTextRetrieval,
		    BridgeTowerForMaskedLM,
		    BridgeTowerModel,
		    BridgeTowerPreTrainedModel,
		)


else:
	import sys

	SCREAMING_SNAKE_CASE		:     List[Any]         =	_LazyModule(__name__, globals()["__file__"], _import_structure)






