



from collections import Counter

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

A__								=						datasets.load_iris()

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

A__						,  A__						,  A__						,  A__								=						train_test_split(X, y)



def 			_lowerCAmelCase       (					__lowerCAmelCase  ,  __lowerCAmelCase      )   ->					List[Any]:


				"""simple docstring"""

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



def 			_lowerCAmelCase       (					__lowerCAmelCase  ,  __lowerCAmelCase  ,  __lowerCAmelCase  ,  __lowerCAmelCase  ,  __lowerCAmelCase=5      )   ->					Tuple:


				"""simple docstring"""

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






# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
A__								=						abspath(join(dirname(dirname(dirname(__file__))), '''src'''))
sys.path.insert(1, git_repo_path)


# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='''ignore''', category=FutureWarning)



def 			_lowerCAmelCase       (					__lowerCAmelCase      )   ->					str:


				"""simple docstring"""

				from transformers.testing_utils import pytest_addoption_shared

				pytest_addoption_shared(__lowerCAmelCase      )





def 			_lowerCAmelCase       (					__lowerCAmelCase      )   ->					List[Any]:


				"""simple docstring"""

				from transformers.testing_utils import pytest_terminal_summary_main

				snake_case__	:      Dict     		=	terminalreporter.config.getoption('''--make-reports'''      )
				if make_reports:
								pytest_terminal_summary_main(__lowerCAmelCase  ,  id=__lowerCAmelCase      )

