





'''simple docstring'''






from __future__ import annotations

import math

import numpy as np
from numpy.linalg import norm






def      __A						(							a_						:  np.ndarray      ,a_						:  np.ndarray	):
		return math.sqrt(sum(pow(a - b      ,2	) for a, b in zip(a_      ,a_	)	)	)






def      __A						(							a_						:  np.ndarray      ,a_						:  np.ndarray	):

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

		lowerCAmelCase     :    Dict						=   []

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

				for dataset_value in dataset[1:]:
						lowerCAmelCase     :    Optional[int]						=   euclidean(a_      ,a_	)

						if dist > temp_dist:
								lowerCAmelCase     :    str						=   temp_dist
								lowerCAmelCase     :    Tuple						=   dataset_value.tolist()

				answer.append([vector, dist]	)

		return answer






def      __A						(							a_						:  np.ndarray      ,a_						:  np.ndarray	):
		return np.dot(a_      ,a_	) / (norm(a_	) * norm(a_	))


if __name__ == "__main__":
					import doctest

					doctest.testmod()










'''simple docstring'''






from collections import namedtuple

lowerCAmelCase       		=      namedtuple("""from_to""", """from_ to""")

lowerCAmelCase       		=      {
    """cubicmeter""": from_to(1, 1),
    """litre""": from_to(0.001, 10_00),
    """kilolitre""": from_to(1, 1),
    """gallon""": from_to(0.00454, 264.172),
    """cubicyard""": from_to(0.76455, 1.30795),
    """cubicfoot""": from_to(0.028, 35.3147),
    """cup""": from_to(0.000236588, 4226.75),
}






def      __A						(							a_						:  float      ,a_						:  str      ,a_						:  str	):
		if from_type not in METRIC_CONVERSION:
				raise ValueError(
				    f'''Invalid \'from_type\' value: {from_type!r}  Supported values are:\n'''
				    + ", ".join(a_	)	)
		if to_type not in METRIC_CONVERSION:
				raise ValueError(
				    f'''Invalid \'to_type\' value: {to_type!r}.  Supported values are:\n'''
				    + ", ".join(a_	)	)
		return value * METRIC_CONVERSION[from_type].from_ * METRIC_CONVERSION[to_type].to


if __name__ == "__main__":
					import doctest

					doctest.testmod()



