






from collections import Counter

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

__UpperCAmelCase							:   List[str]							=  datasets.load_iris()

__UpperCAmelCase							:   int							=  np.array(data["data"])
__UpperCAmelCase							:   Optional[int]							=  np.array(data["target"])
__UpperCAmelCase							:   Optional[int]							=  data['''target_names''']

__UpperCAmelCase							:   Optional[Any]							=  train_test_split(X, y)





def 					lowercase_ (    __snake_case     :							List[str]	,	__snake_case     :							Any      )     -> Tuple:





				'''simple docstring'''


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





def 					lowercase_ (    __snake_case     :							List[Any]	,	__snake_case     :							Dict	,	__snake_case     :							List[Any]	,	__snake_case     :							Optional[int]	,	__snake_case     :							Optional[Any]=5      )     -> str:





				'''simple docstring'''


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





				'''simple docstring'''


				if any(not isinstance(__snake_case	,	__snake_case      ) or x < 0 for x in sequence      ):
								raise TypeError("Sequence must be list of non-negative integers"      )
				for _ in range(len(__snake_case      )      ):
								for i, (rod_upper, rod_lower) in enumerate(zip(__snake_case	,	sequence[1:]      )      ):
												if rod_upper > rod_lower:
																sequence[i] -= rod_upper - rod_lower
																sequence[i + 1] += rod_upper - rod_lower
				return sequence


if __name__ == "__main__":
	assert bead_sort([5, 4, 3, 2, 1]) == [1, 2, 3, 4, 5]
	assert bead_sort([7, 9, 4, 3, 5]) == [3, 4, 5, 7, 9]