knowledge/utils/vector_distance.py

import math
import numpy as np
class VectorDistance:
    @staticmethod
    def calculate_distance(vector1, vector2):
        if len(vector1) != len(vector2):
            raise ValueError("Vectors must have the same dimensionality")
        
        squared_sum = sum((v1 - v2) ** 2 for v1, v2 in zip(vector1, vector2))
        return math.sqrt(squared_sum)

    def l2_distance(vector1, vector2):

        vector1 = np.array(vector1)
        vector2 = np.array(vector2)
        if vector1.shape != vector2.shape:
            raise ValueError("向量维度不一致")
        
        return np.sqrt(np.sum((vector1 - vector2) ** 2))

if __name__ == '__main__':
    v1 = 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    v2 = 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    print(VectorDistance.calculate_distance(v1, v2))