




"""simple docstring"""







from __future__ import annotations

import math

import numpy as np
from numpy.linalg import norm

def 						snake_case__       (					_lowerCamelCase,  _lowerCamelCase				)			->float:






		"""simple docstring"""


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

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






		"""simple docstring"""


		if dataset.ndim != value_array.ndim:
				__lowercase				:		Any												=				(
				    "Wrong input data's dimensions... "
				    F'dataset : {dataset.ndim}, value_array : {value_array.ndim}'
				)
				raise ValueError(_lowerCamelCase				)

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

		if dataset.dtype != value_array.dtype:
				__lowercase				:		List[str]												=				(
				    "Input data have different datatype... "
				    F'dataset : {dataset.dtype}, value_array : {value_array.dtype}'
				)
				raise TypeError(_lowerCamelCase				)

		__lowercase				:		Dict												=				[]

		for value in value_array:
				__lowercase				:		Optional[int]												=				euclidean(_lowerCamelCase,  dataset[0]				)
				__lowercase				:		Tuple												=				dataset[0].tolist()

				for dataset_value in dataset[1:]:
						__lowercase				:		Optional[int]												=				euclidean(_lowerCamelCase,  _lowerCamelCase				)

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

				answer.append([vector, dist]				)

		return answer

def 						snake_case__       (					_lowerCamelCase,  _lowerCamelCase				)			->float:






		"""simple docstring"""


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


if __name__ == "__main__":
						import doctest

						doctest.testmod()






"""simple docstring"""







from collections import deque

from .hash_table import HashTable




class       lowerCAmelCase__       (			lowerCAmelCase_    ):


				"""simple docstring"""





				def __init__(     self					:	Optional[int]    ,   *lowercase__					:	Any    ,   **lowercase__					:	Union[str, Any]						):
						super().__init__(*lowercase__    ,   **lowercase__						)



				def       snake_case    (     self					:	Any    ,   lowercase__					:	Dict    ,   lowercase__					:	Dict						):
						__lowercase				:		Dict												=				deque([]						) if self.values[key] is None else self.values[key]
						self.values[key].appendleft(lowercase__						)
						__lowercase				:		Union[str, Any]												=				self.values[key]



				def       snake_case    (     self					:	str						):
						return (
						    sum(self.charge_factor - len(lowercase__						) for slot in self.values						)
						    / self.size_table
						    * self.charge_factor
						)



				def       snake_case    (     self					:	Union[str, Any]    ,   lowercase__					:	List[str]    ,   lowercase__					:	str=None						):
						if not (
						    len(self.values[key]						) == self.charge_factor and self.values.count(lowercase__						) == 0
						):
								return key
						return super()._collision_resolution(lowercase__    ,   lowercase__						)
