






'''simple docstring'''




import os

import numpy
import onnx







def       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_):
		UpperCamelCase__				:					Optional[Any]					=					a.name
		UpperCamelCase__				:					Dict					=					b.name

		UpperCamelCase__				:					int					=					''
		UpperCamelCase__				:					Dict					=					''

		UpperCamelCase__				:					Any					=					a == b

		UpperCamelCase__				:					List[str]					=					name_a
		UpperCamelCase__				:					List[Any]					=					name_b

		return res







def       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_     ,      lowerCamelCase_):
		for i, input_name in enumerate(node_proto.input):
				if input_name == name:
						node_proto.input.insert(lowerCamelCase_     ,      lowerCamelCase_)
						node_proto.input.pop(i + 1)

		if node_proto.op_type == "If":
				_graph_replace_input_with(node_proto.attribute[0].g     ,      lowerCamelCase_     ,      lowerCamelCase_)
				_graph_replace_input_with(node_proto.attribute[1].g     ,      lowerCamelCase_     ,      lowerCamelCase_)
		if node_proto.op_type == "Loop":
				_graph_replace_input_with(node_proto.attribute[0].g     ,      lowerCamelCase_     ,      lowerCamelCase_)







def       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_     ,      lowerCamelCase_):
		for n in graph_proto.node:
				_node_replace_input_with(lowerCamelCase_     ,      lowerCamelCase_     ,      lowerCamelCase_)







def       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_     ,      lowerCamelCase_):
		UpperCamelCase__				:					int					=					list(model.graph.initializer)
		UpperCamelCase__				:					int					=					list(model_without_ext.graph.initializer)
		for i, ref_i in ind_to_replace:
				assert inits_with_data[i].name == inits[i].name
				assert inits_with_data[ref_i].name == inits[ref_i].name
				assert i > ref_i

				UpperCamelCase__				:					Tuple					=					inits[i].name
				UpperCamelCase__				:					Optional[Any]					=					inits[ref_i].name

				model_without_ext.graph.initializer.remove(inits[i])

				# for n in model.graph.node:
				_graph_replace_input_with(model_without_ext.graph     ,      lowerCamelCase_     ,      lowerCamelCase_)







def       __UpperCAmelCase						(  lowerCamelCase_):
		UpperCamelCase__				:					Union[str, Any]					=					os.path.dirname(lowerCamelCase_)
		UpperCamelCase__				:					List[Any]					=					os.path.basename(lowerCamelCase_)

		UpperCamelCase__				:					Any					=					onnx.load(os.path.join(lowerCamelCase_     ,      lowerCamelCase_))

		UpperCamelCase__				:					List[str]					=					list(model.graph.initializer)

		UpperCamelCase__				:					List[str]					=					set()
		UpperCamelCase__				:					int					=					{}
		UpperCamelCase__				:					int					=					[]

		UpperCamelCase__				:					Tuple					=					0

		for i in range(len(lowerCamelCase_)):
				if i in dup_set:
						continue

				for j in range(i + 1     ,      len(lowerCamelCase_)):
						if j in dup_set:
								continue
						if _is_equal_tensor_proto(inits[i]     ,      inits[j]):
								dup_set.add(lowerCamelCase_)
								dup_set.add(lowerCamelCase_)

								UpperCamelCase__				:					Any					=					inits[j].data_type
								UpperCamelCase__				:					List[str]					=					numpy.prod(inits[j].dims)
								if dtype == 1:
										mem_size *= 4
								elif dtype == 6:
										mem_size *= 4
								elif dtype == 7 or dtype == 11:
										mem_size *= 8
								else:
										print('unexpected data type: '     ,      lowerCamelCase_)
								total_reduced_size += mem_size

								UpperCamelCase__				:					Tuple					=					inits[i].name
								UpperCamelCase__				:					int					=					inits[j].name

								if name_i in dup_map:
										dup_map[name_i].append(lowerCamelCase_)
								else:
										UpperCamelCase__				:					List[str]					=					[name_j]
								ind_to_replace.append((j, i))

		print('total reduced size: '     ,      total_reduced_size / 1_024 / 1_024 / 1_024     ,      'GB')

		UpperCamelCase__				:					List[str]					=					sorted(lowerCamelCase_)
		_remove_dup_initializers_from_model(lowerCamelCase_     ,      lowerCamelCase_     ,      lowerCamelCase_)

		UpperCamelCase__				:					Any					=					'optimized_' + model_file_name
		UpperCamelCase__				:					Optional[int]					=					os.path.join(lowerCamelCase_     ,      lowerCamelCase_)
		onnx.save(lowerCamelCase_     ,      lowerCamelCase_)

		return new_model












'''simple docstring'''




import os
import random
import sys

from . import cryptomath_module as cryptomath
from . import rabin_miller

lowerCAmelCase__          =						3







def       __UpperCAmelCase						(  lowerCamelCase_)							->     int:
		print('Generating primitive root of p')
		while True:
				UpperCamelCase__				:					Any					=					random.randrange(3     ,      lowerCamelCase_)
				if pow(lowerCamelCase_     ,      2     ,      lowerCamelCase_) == 1:
						continue
				if pow(lowerCamelCase_     ,      lowerCamelCase_     ,      lowerCamelCase_) == 1:
						continue
				return g







def       __UpperCAmelCase						(  lowerCamelCase_)							->     tuple[tuple[int, int, int, int], tuple[int, int]]:
		print('Generating prime p...')
		UpperCamelCase__				:					List[str]					=					rabin_miller.generate_large_prime(lowerCamelCase_)  # select large prime number.
		UpperCamelCase__				:					Any					=					primitive_root(lowerCamelCase_)  # one primitive root on modulo p.
		UpperCamelCase__				:					Union[str, Any]					=					random.randrange(3     ,      lowerCamelCase_)  # private_key -> have to be greater than 2 for safety.
		UpperCamelCase__				:					Dict					=					cryptomath.find_mod_inverse(pow(lowerCamelCase_     ,      lowerCamelCase_     ,      lowerCamelCase_)     ,      lowerCamelCase_)

		UpperCamelCase__				:					List[Any]					=					(key_size, e_a, e_a, p)
		UpperCamelCase__				:					Optional[Any]					=					(key_size, d)

		return public_key, private_key







def       __UpperCAmelCase						(  lowerCamelCase_     ,      lowerCamelCase_)							->     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()

		UpperCamelCase__,	UpperCamelCase__				:					Union[str, Any]					=					generate_key(lowerCamelCase_)
		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       __UpperCAmelCase						(  )							->     None:
		print('Making key files...')
		make_key_files('elgamal'     ,      2_048)
		print('Key files generation successful')


if __name__ == "__main__":
		main()




