
"""simple docstring"""
from __future__ import annotations

import math

import numpy as np
from numpy.linalg import norm





def  _lowerCAmelCase     (  lowerCamelCase__				:				str,    lowerCamelCase__				:				List[str]					)	->     Union[str, Any]:
  return math.sqrt(sum(pow(a - b,    2					) for a, b in zip(a__,    a__					)					)					)





def  _lowerCAmelCase     (  lowerCamelCase__				:				List[str],    lowerCamelCase__				:				str					)	->     int:


  if dataset.ndim != value_array.ndim:
    _SCREAMING_SNAKE_CASE :					Tuple				     =			(
        "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 :					List[str]				     =			(
          "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 :					Tuple				     =			(
        "Input data have different datatype... "
        f'''dataset : {dataset.dtype}, value_array : {value_array.dtype}'''
    )
    raise TypeError(a__					)

  _SCREAMING_SNAKE_CASE :					str				     =			[]

  for value in value_array:
    _SCREAMING_SNAKE_CASE :					Tuple				     =			euclidean(a__,    dataset[0]					)
    _SCREAMING_SNAKE_CASE :					Optional[Any]				     =			dataset[0].tolist()

    for dataset_value in dataset[1:]:
      _SCREAMING_SNAKE_CASE :					Optional[int]				     =			euclidean(a__,    a__					)

      if dist > temp_dist:
        _SCREAMING_SNAKE_CASE :					Union[str, Any]				     =			temp_dist
        _SCREAMING_SNAKE_CASE :					Union[str, Any]				     =			dataset_value.tolist()

    answer.append([vector, dist]					)

  return answer





def  _lowerCAmelCase     (  lowerCamelCase__				:				Any,    lowerCamelCase__				:				List[Any]					)	->     List[str]:
  return np.dot(a__,    a__					) / (norm(a__					) * norm(a__					))


if __name__ == "__main__":
      import doctest

      doctest.testmod()






'''simple docstring'''



from math import isqrt







def   a__			(    a__		):




     """simple docstring"""


     return all(number % divisor != 0 for divisor in range(2 ,       isqrt(a__		) + 1		)		)







def   a__			(    a__ = 10**6		):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE      = 0
     __SCREAMING_SNAKE_CASE      = 1
     __SCREAMING_SNAKE_CASE      = 7
     while prime_candidate < max_prime:
          primes_count += is_prime(a__		)

          cube_index += 1
          prime_candidate += 6 * cube_index

     return primes_count


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






