
from __future__ import annotations

import math

import numpy as np
from numpy.linalg import norm


def    a      ( a		,						a	)     ->float:




			'''simple docstring'''


			return math.sqrt(sum(pow(a - b		,						2	) for a, b in zip(a		,						a	)	)	)


def    a      ( a		,						a	)     ->list[list[list[float] | float]]:




			'''simple docstring'''


			if dataset.ndim != value_array.ndim:
						SCREAMING_SNAKE_CASE     						= (
						    '''Wrong input data\'s dimensions... '''
						    F"""dataset : {dataset.ndim}, value_array : {value_array.ndim}"""
						)
						raise ValueError(a	)

			try:
						if dataset.shape[1] != value_array.shape[1]:
									SCREAMING_SNAKE_CASE     						= (
									    '''Wrong input data\'s shape... '''
									    F"""dataset : {dataset.shape[1]}, value_array : {value_array.shape[1]}"""
									)
									raise ValueError(a	)
			except IndexError:
						if dataset.ndim != value_array.ndim:
									raise TypeError('''Wrong shape'''	)

			if dataset.dtype != value_array.dtype:
						SCREAMING_SNAKE_CASE     						= (
						    '''Input data have different datatype... '''
						    F"""dataset : {dataset.dtype}, value_array : {value_array.dtype}"""
						)
						raise TypeError(a	)

			SCREAMING_SNAKE_CASE     						= []

			for value in value_array:
						SCREAMING_SNAKE_CASE     						= euclidean(a		,						dataset[0]	)
						SCREAMING_SNAKE_CASE     						= dataset[0].tolist()

						for dataset_value in dataset[1:]:
									SCREAMING_SNAKE_CASE     						= euclidean(a		,						a	)

									if dist > temp_dist:
												SCREAMING_SNAKE_CASE     						= temp_dist
												SCREAMING_SNAKE_CASE     						= dataset_value.tolist()

						answer.append([vector, dist]	)

			return answer


def    a      ( a		,						a	)     ->float:




			'''simple docstring'''


			return np.dot(a		,						a	) / (norm(a	) * norm(a	))


if __name__ == "__main__":
							import doctest

							doctest.testmod()

def    a      ( a	)     ->List[Any]:




			'''simple docstring'''


			SCREAMING_SNAKE_CASE     						= len(a	)
			while cur > 1:
						# Find the maximum number in arr
						SCREAMING_SNAKE_CASE     						= arr.index(max(arr[0:cur]	)	)
						# Reverse from 0 to mi
						SCREAMING_SNAKE_CASE     						= arr[mi::-1] + arr[mi + 1 : len(a	)]
						# Reverse whole list
						SCREAMING_SNAKE_CASE     						= arr[cur - 1 :: -1] + arr[cur : len(a	)]
						cur -= 1
			return arr


if __name__ == "__main__":
							__lowerCAmelCase					   =       input('Enter numbers separated by a comma:\n').strip()
							__lowerCAmelCase					   =       [int(item) for item in user_input.split(',')]
							print(pancake_sort(unsorted))