



import os
import random
import sys

from . import cryptomath_module as cryptoMath  # noqa: N812
from . import rabin_miller as rabinMiller  # noqa: N812






def        __lowerCAmelCase		(	)	->    None:
					print("""Making key files..."""						)
					make_key_files("""rsa"""					, 1024						)
					print("""Key files generation successful."""						)






def        __lowerCAmelCase		(	__lowerCamelCase						:     int						)	->    tuple[tuple[int, int], tuple[int, int]]:
					print("""Generating prime p..."""						)
					__lowerCAmelCase						 =rabinMiller.generate_large_prime(__lowerCamelCase						)
					print("""Generating prime q..."""						)
					__lowerCAmelCase						 =rabinMiller.generate_large_prime(__lowerCamelCase						)
					__lowerCAmelCase						 =p * q

					print("""Generating e that is relatively prime to (p - 1) * (q - 1)..."""						)
					while True:
										__lowerCAmelCase						 =random.randrange(2 ** (key_size - 1)					, 2 ** (key_size)						)
										if cryptoMath.gcd(__lowerCamelCase					, (p - 1) * (q - 1)						) == 1:
															break

					print("""Calculating d that is mod inverse of e..."""						)
					__lowerCAmelCase						 =cryptoMath.find_mod_inverse(__lowerCamelCase					, (p - 1) * (q - 1)						)

					__lowerCAmelCase						 =(n, e)
					__lowerCAmelCase						 =(n, d)
					return (public_key, private_key)






def        __lowerCAmelCase		(	__lowerCamelCase						:     str					, __lowerCamelCase						:     int						)	->    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						 =generate_key(__lowerCamelCase						)
					print(f"""\nWriting public key to file {name}_pubkey.txt..."""						)
					with open(f"""{name}_pubkey.txt"""					, """w"""						) as out_file:
										out_file.write(f"""{key_size},{public_key[0]},{public_key[1]}"""						)

					print(f"""Writing private key to file {name}_privkey.txt..."""						)
					with open(f"""{name}_privkey.txt"""					, """w"""						) as out_file:
										out_file.write(f"""{key_size},{private_key[0]},{private_key[1]}"""						)


if __name__ == "__main__":
				main()









from collections import Counter

import numpy as np
from sklearn import datasets
from sklearn.model_selection import train_test_split

lowercase_													=      datasets.load_iris()

lowercase_													=      np.array(data['''data'''])
lowercase_													=      np.array(data['''target'''])
lowercase_													=      data['''target_names''']

lowercase_							,							lowercase_							,							lowercase_							,							lowercase_													=      train_test_split(X, y)






def        __lowerCAmelCase		(	__lowerCamelCase						:     Optional[Any]					, __lowerCamelCase						:     Optional[Any]						)	->    Optional[int]:
					return np.linalg.norm(np.array(__lowerCamelCase						) - np.array(__lowerCamelCase						)						)






def        __lowerCAmelCase		(	__lowerCamelCase						:     List[str]					, __lowerCamelCase						:     List[Any]					, __lowerCamelCase						:     List[Any]					, __lowerCamelCase						:     Union[str, Any]					, __lowerCamelCase						:     int=5						)	->    str:
					__lowerCAmelCase						 =zip(__lowerCamelCase					, __lowerCamelCase						)
					# List of distances of all points from the point to be classified
					__lowerCAmelCase						 =[]
					for data_point in data:
										__lowerCAmelCase						 =euclidean_distance(data_point[0]					, __lowerCamelCase						)
										distances.append((distance, data_point[1])						)
					# Choosing 'k' points with the least distances.
					__lowerCAmelCase						 =[i[1] for i in sorted(__lowerCamelCase						)[:k]]
					# Most commonly occurring class among them
					# is the class into which the point is classified
					__lowerCAmelCase						 =Counter(__lowerCamelCase						).most_common(1						)[0][0]
					return classes[result]


if __name__ == "__main__":
				print(classifier(X_train, y_train, classes, [4.4, 3.1, 1.3, 1.4]))




