import argparse
import json

import numpy
import torch

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES
from transformers.utils import CONFIG_NAME, WEIGHTS_NAME, logging


logging.set_verbosity_info()






def        __UpperCAmelCase    (       UpperCAmelCase,		UpperCAmelCase       )->       Tuple:



			"""simple docstring"""







			lowercase							=		torch.load(UpperCAmelCase,		map_location='''cpu'''       )

			lowercase							=		chkpt['''model''']

			# We have the base model one level deeper than the original XLM repository
			lowercase							=		{}
			for k, v in state_dict.items():
						if "pred_layer" in k:
									lowercase							=		v
						else:
									lowercase							=		v

			lowercase							=		chkpt['''params''']
			lowercase							=		{n: v for n, v in config.items() if not isinstance(UpperCAmelCase,		(torch.FloatTensor, numpy.ndarray)       )}

			lowercase							=		chkpt['''dico_word2id''']
			lowercase							=		{s + '''</w>''' if s.find('''@@'''       ) == -1 and i > 13 else s.replace('''@@''',		''''''       ): i for s, i in vocab.items()}

			# Save pytorch-model
			lowercase							=		pytorch_dump_folder_path + '''/''' + WEIGHTS_NAME
			lowercase							=		pytorch_dump_folder_path + '''/''' + CONFIG_NAME
			lowercase							=		pytorch_dump_folder_path + '''/''' + VOCAB_FILES_NAMES['''vocab_file''']

			print(f'Save PyTorch model to {pytorch_weights_dump_path}'       )
			torch.save(UpperCAmelCase,		UpperCAmelCase       )

			print(f'Save configuration file to {pytorch_config_dump_path}'       )
			with open(UpperCAmelCase,		'''w''',		encoding='''utf-8'''       ) as f:
						f.write(json.dumps(UpperCAmelCase,		indent=2       ) + '''\n'''       )

			print(f'Save vocab file to {pytorch_config_dump_path}'       )
			with open(UpperCAmelCase,		'''w''',		encoding='''utf-8'''       ) as f:
						f.write(json.dumps(UpperCAmelCase,		indent=2       ) + '''\n'''       )


if __name__ == "__main__":
						A_      =      argparse.ArgumentParser()
						# Required parameters
						parser.add_argument(
						    "--xlm_checkpoint_path", default=None, type=str, required=True, help="Path the official PyTorch dump."
						)
						parser.add_argument(
						    "--pytorch_dump_folder_path", default=None, type=str, required=True, help="Path to the output PyTorch model."
						)
						A_      =      parser.parse_args()
						convert_xlm_checkpoint_to_pytorch(args.xlm_checkpoint_path, args.pytorch_dump_folder_path)






import os
import random
import sys

from . import cryptomath_module as cryptomath
from . import rabin_miller

A_      =      3






def        __UpperCAmelCase    (       UpperCAmelCase       )->       int:



			"""simple docstring"""







			print('''Generating primitive root of p'''       )
			while True:
						lowercase							=		random.randrange(3,		UpperCAmelCase       )
						if pow(UpperCAmelCase,		2,		UpperCAmelCase       ) == 1:
									continue
						if pow(UpperCAmelCase,		UpperCAmelCase,		UpperCAmelCase       ) == 1:
									continue
						return g






def        __UpperCAmelCase    (       UpperCAmelCase       )->       tuple[tuple[int, int, int, int], tuple[int, int]]:



			"""simple docstring"""







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

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

			return public_key, private_key






def        __UpperCAmelCase    (       UpperCAmelCase,		UpperCAmelCase       )->       None:



			"""simple docstring"""







			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()

			lowercase		,lowercase							=		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        __UpperCAmelCase    (       )->       None:



			"""simple docstring"""







			print('''Making key files...'''       )
			make_key_files('''elgamal''',		2048       )
			print('''Key files generation successful'''       )


if __name__ == "__main__":
						main()





