





"""simple docstring"""



from __future__ import annotations

import math

import numpy as np
from numpy.linalg import norm







def 						__lowercase	(  snake_case_    :    int							,snake_case_    :    Tuple		)  ->float:



    '''simple docstring'''







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







def 						__lowercase	(  snake_case_    :    List[Any]							,snake_case_    :    Dict		)  ->list[list[list[float] | float]]:



    '''simple docstring'''







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

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

    if dataset.dtype != value_array.dtype:
        __A       :		Optional[Any]							=	(
            '''Input data have different datatype... '''
            F"""dataset : {dataset.dtype}, value_array : {value_array.dtype}"""
        )
        raise TypeError(snake_case_		)

    __A       :		str							=	[]

    for value in value_array:
        __A       :		str							=	euclidean(snake_case_							,dataset[0]		)
        __A       :		str							=	dataset[0].tolist()

        for dataset_value in dataset[1:]:
            __A       :		Optional[int]							=	euclidean(snake_case_							,snake_case_		)

            if dist > temp_dist:
                __A       :		Dict							=	temp_dist
                __A       :		str							=	dataset_value.tolist()

        answer.append([vector, dist]		)

    return answer







def 						__lowercase	(  snake_case_    :    Any							,snake_case_    :    Union[str, Any]		)  ->float:



    '''simple docstring'''







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


if __name__ == "__main__":
       import doctest

       doctest.testmod()










from math import isqrt


def 					_a							(					lowerCAmelCase )->	bool:
		return all(number % divisor != 0 for divisor in range(2    ,						isqrt(lowerCAmelCase ) + 1 ) )


def 					_a							(					lowerCAmelCase = 10**6 )->	int:
		SCREAMING_SNAKE_CASE_					      =							0
		SCREAMING_SNAKE_CASE_					      =							1
		SCREAMING_SNAKE_CASE_					      =							7
		while prime_candidate < max_prime:
				primes_count += is_prime(lowerCAmelCase )

				cube_index += 1
				prime_candidate += 6 * cube_index

		return primes_count


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