
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						(							UpperCAmelCase__				:      Tuple			,				UpperCAmelCase__				:      int       )  ->    Dict:
							return np.linalg.norm(np.array(UpperCAmelCase__       ) - np.array(UpperCAmelCase__       )       )



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







def      __lowerCAmelCase						(							UpperCAmelCase__				:      int = 4_0_0_0_0_0_0       )  ->    int:
							lowerCamelCase_							  =					[]
							lowerCamelCase_  ,   lowerCamelCase_							  =					0, 1
							while b <= n:
														if b % 2 == 0:
																					even_fibs.append(UpperCAmelCase__       )
														lowerCamelCase_  ,   lowerCamelCase_							  =					b, a + b
							return sum(UpperCAmelCase__       )


if __name__ == "__main__":
		print(F"""{solution() = }""")





