使用【python】写【文本相似度分析】的代码创建一个vector类，完成vector向量的所有基本操作

class Vector:
    def __init__(self, elements):
        self.elements = elements

    def __add__(self, other):
        if len(self.elements) != len(other.elements):
            raise ValueError("向量长度不匹配")
        return Vector([a + b for a, b in zip(self.elements, other.elements)])

    def __sub__(self, other):
        if len(self.elements) != len(other.elements):
            raise ValueError("向量长度不匹配")
        return Vector([a - b for a, b in zip(self.elements, other.elements)])

    def dot(self, other):
        if len(self.elements) != len(other.elements):
            raise ValueError("向量长度不匹配")
        return sum(a * b for a, b in zip(self.elements, other.elements))

    def magnitude(self):
        return sum(x ** 2 for x in self.elements) ** 0.5

    def __str__(self):
        return str(self.elements)

# 示例
v1 = Vector([1, 2, 3])
v2 = Vector([4, 5, 6])
print("v1 + v2 =", v1 + v2)
print("v1 - v2 =", v1 - v2)
print("v1 · v2 =", v1.dot(v2))
print("|v1| =", v1.magnitude())
print("|v2| =", v2.magnitude())