
'''simple docstring'''

from collections import Counter

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

UpperCAmelCase__ :			Tuple											=		datasets.load_iris()

UpperCAmelCase__ :			Any											=		np.array(data["data"])
UpperCAmelCase__ :			Union[str, Any]											=		np.array(data["target"])
UpperCAmelCase__ :			List[str]											=		data["target_names"]

UpperCAmelCase__						,		UpperCAmelCase__						,		UpperCAmelCase__						,		UpperCAmelCase__ :			List[str]											=		train_test_split(X, y)







def 	A  (   UpperCamelCase_       :  str    ,						UpperCamelCase_       :  Tuple   )       ->							str:







			'''simple docstring'''



			return np.linalg.norm(np.array(UpperCamelCase_   ) - np.array(UpperCamelCase_   )   )







def 	A  (   UpperCamelCase_       :  str    ,						UpperCamelCase_       :  Tuple    ,						UpperCamelCase_       :  Optional[Any]    ,						UpperCamelCase_       :  int    ,						UpperCamelCase_       :  str=5   )       ->							List[Any]:







			'''simple docstring'''



			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]))








from operator import delitem, getitem, setitem

import pytest

from data_structures.hashing.hash_map import HashMap

def 			lowerCamelCase__			(       _a):
	return getitem, k

def 			lowerCamelCase__			(       _a				,      _a):
	return setitem, k, v

def 			lowerCamelCase__			(       _a):
	return delitem, k

def 			lowerCamelCase__			(       _a				,      _a				,      *_a):
	try:
		return fun(_a				,      *_a), None
	except Exception as e:
		return None, e


a_      =     (
    _set('key_a', 'val_a'),
    _set('key_b', 'val_b'),
)

a_      =     [
    _set('key_a', 'val_a'),
    _set('key_a', 'val_b'),
]

a_      =     [
    _set('key_a', 'val_a'),
    _set('key_b', 'val_b'),
    _del('key_a'),
    _del('key_b'),
    _set('key_a', 'val_a'),
    _del('key_a'),
]

a_      =     [
    _get('key_a'),
    _del('key_a'),
    _set('key_a', 'val_a'),
    _del('key_a'),
    _del('key_a'),
    _get('key_a'),
]

a_      =     [
    *[_set(x, x) for x in range(5)],  # guaranteed upsize
]

a_      =     [
    *[_set(x, x) for x in range(5)],  # guaranteed upsize
    *[_del(x) for x in range(5)],
    _set('key_a', 'val_b'),
]

@pytest.mark.parametrize(
    "operations"				,      (
        pytest.param(_add_items				,      id="add items"),
        pytest.param(_overwrite_items				,      id="overwrite items"),
        pytest.param(_delete_items				,      id="delete items"),
        pytest.param(_access_absent_items				,      id="access absent items"),
        pytest.param(_add_with_resize_up				,      id="add with resize up"),
        pytest.param(_add_with_resize_down				,      id="add with resize down"),
    )				,      )
def 			lowerCamelCase__			(       _a):
	SCREAMING_SNAKE_CASE :   Dict					  =							HashMap(initial_block_size=4)
	SCREAMING_SNAKE_CASE :   List[str]					  =							{}
	for _, (fun, *args) in enumerate(_a):
		SCREAMING_SNAKE_CASE  ,SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							_run_operation(_a				,      _a				,      *_a)
		SCREAMING_SNAKE_CASE  ,SCREAMING_SNAKE_CASE :   List[Any]					  =							_run_operation(_a				,      _a				,      *_a)
		assert my_res == py_res
		assert str(_a) == str(_a)
		assert set(_a) == set(_a)
		assert len(_a) == len(_a)
		assert set(my.items()) == set(py.items())


def 			lowerCamelCase__			(       ):
	def is_public(_a) -> bool:
		return not name.startswith("_")

	SCREAMING_SNAKE_CASE :   List[str]					  =							{name for name in dir({}) if is_public(_a)}
	SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							{name for name in dir(HashMap()) if is_public(_a)}

	assert dict_public_names > hash_public_names