

from __future__ import annotations

import math

import numpy as np
from numpy.linalg import norm

def 						UpperCamelCase (lowercase_:			np.ndarray   ,				lowercase_:			np.ndarray )					->				float:
	return math.sqrt(sum(pow(a - b   ,				2 ) for a, b in zip(lowercase_   ,				lowercase_ ) ) )

def 						UpperCamelCase (lowercase_:			np.ndarray   ,				lowercase_:			np.ndarray )					->				list[list[list[float] | float]]:

	if dataset.ndim != value_array.ndim:
		A__							:   Dict					       =		(
		    """Wrong input data's dimensions... """
		    f"""dataset : {dataset.ndim}, value_array : {value_array.ndim}"""
		)
		raise ValueError(lowercase_ )

	try:
		if dataset.shape[1] != value_array.shape[1]:
			A__							:   List[str]					       =		(
			    """Wrong input data's shape... """
			    f"""dataset : {dataset.shape[1]}, value_array : {value_array.shape[1]}"""
			)
			raise ValueError(lowercase_ )
	except IndexError:
		if dataset.ndim != value_array.ndim:
			raise TypeError("""Wrong shape""" )

	if dataset.dtype != value_array.dtype:
		A__							:   int					       =		(
		    """Input data have different datatype... """
		    f"""dataset : {dataset.dtype}, value_array : {value_array.dtype}"""
		)
		raise TypeError(lowercase_ )

	A__							:   str					       =		[]

	for value in value_array:
		A__							:   Dict					       =		euclidean(lowercase_   ,				dataset[0] )
		A__							:   Optional[Any]					       =		dataset[0].tolist()

		for dataset_value in dataset[1:]:
			A__							:   str					       =		euclidean(lowercase_   ,				lowercase_ )

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

		answer.append([vector, dist] )

	return answer

def 						UpperCamelCase (lowercase_:			np.ndarray   ,				lowercase_:			np.ndarray )					->				float:
	return np.dot(lowercase_   ,				lowercase_ ) / (norm(lowercase_ ) * norm(lowercase_ ))


if __name__ == "__main__":
	import doctest

	doctest.testmod()






from __future__ import annotations

def 						UpperCamelCase (lowercase_:			float   ,				lowercase_:			float   ,				lowercase_:			float )					->				dict[str, float]:
	if (voltage, current, resistance).count(0 ) != 1:
		raise ValueError("""One and only one argument must be 0""" )
	if resistance < 0:
		raise ValueError("""Resistance cannot be negative""" )
	if voltage == 0:
		return {"voltage": float(current * resistance )}
	elif current == 0:
		return {"current": voltage / resistance}
	elif resistance == 0:
		return {"resistance": voltage / current}
	else:
		raise ValueError("""Exactly one argument must be 0""" )


if __name__ == "__main__":
	import doctest

	doctest.testmod()



