

import os

import pytest
from attr import dataclass


a		='us-east-1'  # defaults region






@dataclass
class 	A_		:
							_UpperCAmelCase   :  int										=				42
							_UpperCAmelCase   :  Any										=				'''arn:aws:iam::558105141721:role/sagemaker_execution_role'''
							_UpperCAmelCase   :  List[Any]										=				{
							    '''task_name''': '''mnli''',
							    '''per_device_train_batch_size''': 16,
							    '''per_device_eval_batch_size''': 16,
							    '''do_train''': True,
							    '''do_eval''': True,
							    '''do_predict''': True,
							    '''output_dir''': '''/opt/ml/model''',
							    '''overwrite_output_dir''': True,
							    '''max_steps''': 500,
							    '''save_steps''': 5_500,
							}
							_UpperCAmelCase   :  Union[str, Any]										=				{**hyperparameters, '''max_steps''': 1_000}
							@property
							def    lowerCAmelCase					(		self		:      List[Any]):
								if self.framework == "pytorch":
									return [
									    {"Name": "train_runtime", "Regex": r"train_runtime.*=\D*(.*?)$"},
									    {"Name": "eval_accuracy", "Regex": r"eval_accuracy.*=\D*(.*?)$"},
									    {"Name": "eval_loss", "Regex": r"eval_loss.*=\D*(.*?)$"},
									]
								else:
									return [
									    {"Name": "train_runtime", "Regex": r"train_runtime.*=\D*(.*?)$"},
									    {"Name": "eval_accuracy", "Regex": r"loss.*=\D*(.*?)]?$"},
									    {"Name": "eval_loss", "Regex": r"sparse_categorical_accuracy.*=\D*(.*?)]?$"},
									]
							@property
							def    lowerCAmelCase					(		self		:      Tuple):
								return F"{self.framework}-transfromers-test"
							@property
							def    lowerCAmelCase					(		self		:      Optional[int]):
								return F"./tests/sagemaker/scripts/{self.framework}"


							@property
							def    lowerCAmelCase					(		self		:      List[str]):
								if self.framework == "pytorch":
									return "763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:1.7.1-transformers4.6.1-gpu-py36-cu110-ubuntu18.04"
								else:
									return "763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:2.4.1-transformers4.6.1-gpu-py37-cu110-ubuntu18.04"






@pytest.fixture(scope='class'      )
def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__      )  ->					List[str]:
	__lowerCamelCase    :    List[str] 	=			SageMakerTestEnvironment(framework=request.cls.framework      )







import os
import random
import sys

from . import cryptomath_module as cryptomath
from . import rabin_miller

a		=3






def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__      )  ->					int:
	print('Generating primitive root of p'      )
	while True:
		__lowerCamelCase    :    Tuple 	=			random.randrange(3     ,			lowerCamelCase__      )
		if pow(lowerCamelCase__     ,			2     ,			lowerCamelCase__      ) == 1:
			continue
		if pow(lowerCamelCase__     ,			lowerCamelCase__     ,			lowerCamelCase__      ) == 1:
			continue
		return g






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

	__lowerCamelCase    :    int 	=			(key_size, e_a, e_a, p)
	__lowerCamelCase    :    str 	=			(key_size, d)

	return public_key, private_key






def        SCREAMING_SNAKE_CASE__	(  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()

	__lowerCamelCase	,			__lowerCamelCase    :    List[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        SCREAMING_SNAKE_CASE__	(  )  ->					None:
	print('Making key files...'      )
	make_key_files('elgamal'     ,			2_0_4_8      )
	print('Key files generation successful'      )


if __name__ == "__main__":
					main()




