

import warnings

from ...utils import is_sklearn_available, requires_backends


if is_sklearn_available():
					from scipy.stats import pearsonr, spearmanr
					from sklearn.metrics import fa_score, matthews_corrcoef


a		=(
    """This metric will be removed from the library soon, metrics should be handled with the 🤗 Evaluate """
    """library. You can have a look at this example script for pointers: """
    """https://github.com/huggingface/transformers/blob/main/examples/pytorch/text-classification/run_glue.py"""
)






def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__     ,			lowerCamelCase__      )  ->					Optional[int]:
	warnings.warn(lowerCamelCase__     ,			lowerCamelCase__      )
	requires_backends(lowerCamelCase__     ,			'sklearn'      )
	return (preds == labels).mean()






def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__     ,			lowerCamelCase__      )  ->					Optional[int]:
	warnings.warn(lowerCamelCase__     ,			lowerCamelCase__      )
	requires_backends(lowerCamelCase__     ,			'sklearn'      )
	__lowerCamelCase    :    Tuple 	=			simple_accuracy(lowerCamelCase__     ,			lowerCamelCase__      )
	__lowerCamelCase    :    Optional[int] 	=			fa_score(y_true=lowerCamelCase__     ,			y_pred=lowerCamelCase__      )
	return {
	    "acc": acc,
	    "f1": fa,
	    "acc_and_f1": (acc + fa) / 2,
	}






def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__     ,			lowerCamelCase__      )  ->					str:
	warnings.warn(lowerCamelCase__     ,			lowerCamelCase__      )
	requires_backends(lowerCamelCase__     ,			'sklearn'      )
	__lowerCamelCase    :    str 	=			pearsonr(lowerCamelCase__     ,			lowerCamelCase__      )[0]
	__lowerCamelCase    :    str 	=			spearmanr(lowerCamelCase__     ,			lowerCamelCase__      )[0]
	return {
	    "pearson": pearson_corr,
	    "spearmanr": spearman_corr,
	    "corr": (pearson_corr + spearman_corr) / 2,
	}






def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__     ,			lowerCamelCase__     ,			lowerCamelCase__      )  ->					Tuple:
	warnings.warn(lowerCamelCase__     ,			lowerCamelCase__      )
	requires_backends(lowerCamelCase__     ,			'sklearn'      )
	assert len(lowerCamelCase__      ) == len(lowerCamelCase__      ), F"Predictions and labels have mismatched lengths {len(lowerCamelCase__      )} and {len(lowerCamelCase__      )}"
	if task_name == "cola":
		return {"mcc": matthews_corrcoef(lowerCamelCase__     ,			lowerCamelCase__      )}
	elif task_name == "sst-2":
		return {"acc": simple_accuracy(lowerCamelCase__     ,			lowerCamelCase__      )}
	elif task_name == "mrpc":
		return acc_and_fa(lowerCamelCase__     ,			lowerCamelCase__      )
	elif task_name == "sts-b":
		return pearson_and_spearman(lowerCamelCase__     ,			lowerCamelCase__      )
	elif task_name == "qqp":
		return acc_and_fa(lowerCamelCase__     ,			lowerCamelCase__      )
	elif task_name == "mnli":
		return {"mnli/acc": simple_accuracy(lowerCamelCase__     ,			lowerCamelCase__      )}
	elif task_name == "mnli-mm":
		return {"mnli-mm/acc": simple_accuracy(lowerCamelCase__     ,			lowerCamelCase__      )}
	elif task_name == "qnli":
		return {"acc": simple_accuracy(lowerCamelCase__     ,			lowerCamelCase__      )}
	elif task_name == "rte":
		return {"acc": simple_accuracy(lowerCamelCase__     ,			lowerCamelCase__      )}
	elif task_name == "wnli":
		return {"acc": simple_accuracy(lowerCamelCase__     ,			lowerCamelCase__      )}
	elif task_name == "hans":
		return {"acc": simple_accuracy(lowerCamelCase__     ,			lowerCamelCase__      )}
	else:
		raise KeyError(lowerCamelCase__      )






def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__     ,			lowerCamelCase__     ,			lowerCamelCase__      )  ->					int:
	warnings.warn(lowerCamelCase__     ,			lowerCamelCase__      )
	requires_backends(lowerCamelCase__     ,			'sklearn'      )
	if len(lowerCamelCase__      ) != len(lowerCamelCase__      ):
		raise ValueError(F"Predictions and labels have mismatched lengths {len(lowerCamelCase__      )} and {len(lowerCamelCase__      )}"      )
	if task_name == "xnli":
		return {"acc": simple_accuracy(lowerCamelCase__     ,			lowerCamelCase__      )}
	else:
		raise KeyError(lowerCamelCase__      )







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()




