





import os
import random
import sys

from . import cryptomath_module as cryptomath
from . import rabin_miller

_lowerCamelCase 					=      3






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				int     ):
		print("""Generating primitive root of p"""     )
		while True:
				SCREAMING_SNAKE_CASE__								=   random.randrange(3       , UpperCamelCase__     )
				if pow(UpperCamelCase__       , 2       , UpperCamelCase__     ) == 1:
						continue
				if pow(UpperCamelCase__       , UpperCamelCase__       , UpperCamelCase__     ) == 1:
						continue
				return g






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				int     ):
		print("""Generating prime p..."""     )
		SCREAMING_SNAKE_CASE__								=   rabin_miller.generate_large_prime(UpperCamelCase__     )  # select large prime number.
		SCREAMING_SNAKE_CASE__								=   primitive_root(UpperCamelCase__     )  # one primitive root on modulo p.
		SCREAMING_SNAKE_CASE__								=   random.randrange(3       , UpperCamelCase__     )  # private_key -> have to be greater than 2 for safety.
		SCREAMING_SNAKE_CASE__								=   cryptomath.find_mod_inverse(pow(UpperCamelCase__       , UpperCamelCase__       , UpperCamelCase__     )       , UpperCamelCase__     )

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

		return public_key, private_key






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				str       , UpperCamelCase__:				int     ):
		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__								=   generate_key(UpperCamelCase__     )
		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 					SCREAMING_SNAKE_CASE__				(							):
		print("""Making key files..."""     )
		make_key_files("""elgamal"""       , 2_048     )
		print("""Key files generation successful"""     )


if __name__ == "__main__":
	main()


'''simple docstring'''







from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


__lowerCamelCase									=     logging.get_logger(__name__)

__lowerCamelCase									=     {
    '''microsoft/resnet-50''': '''https://huggingface.co/microsoft/resnet-50/blob/main/config.json''',
}


class        A__   (   _snake_case    ,    _snake_case      ):
    lowercase						       =		"resnet"
    lowercase						       =		["basic", "bottleneck"]



    def __init__(       self		,					UpperCamelCase__=3		,					UpperCamelCase__=64		,					UpperCamelCase__=[256, 512, 1024, 2048]		,					UpperCamelCase__=[3, 4, 6, 3]		,					UpperCamelCase__="bottleneck"		,					UpperCamelCase__="relu"		,					UpperCamelCase__=False		,					UpperCamelCase__=None		,					UpperCamelCase__=None		,					**UpperCamelCase__		,					)    ->   List[str]:





           '''simple docstring'''
           super().__init__(**UpperCamelCase__							)
           if layer_type not in self.layer_types:
                  raise ValueError(f'''layer_type={layer_type} is not one of {",".join(self.layer_types							)}'''							)
           A_						       =   num_channels
           A_						       =   embedding_size
           A_						       =   hidden_sizes
           A_						       =   depths
           A_						       =   layer_type
           A_						       =   hidden_act
           A_						       =   downsample_in_first_stage
           A_						       =   ["""stem"""] + [f'''stage{idx}''' for idx in range(1		,					len(UpperCamelCase__							) + 1							)]
           A_       ,      A_						       =   get_aligned_output_features_output_indices(
               out_features=UpperCamelCase__		,					out_indices=UpperCamelCase__		,					stage_names=self.stage_names							)


class        A__   (   _snake_case      ):
    lowercase						       =		version.parse("1.11"      )



    @property
    def        snake_case_      (       self							)    ->   Mapping[str, Mapping[int, str]]:





           '''simple docstring'''
           return OrderedDict(
               [
                   ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
               ]							)







    @property
    def        snake_case_      (       self							)    ->   float:





           '''simple docstring'''
           return 1e-3
