vector = [2, 4, 6, 8, 10]
print(vector)

import numpy as np

vector = np.array([2, 4, 6, 8, 10])
print(vector)

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

    def __add__(self, other):
        if isinstance(other, Vector):
            if len(self.values) == len(other.values):
                new_values = [x + y for x, y in zip(self.values, other.values)]
                return Vector(new_values)
            else:
                raise ValueError("Vectors must have the same length")
        else:
            raise TypeError("Unsupported operand type")

    def __sub__(self, other):
        if isinstance(other, Vector):
            if len(self.values) == len(other.values):
                new_values = [x - y for x, y in zip(self.values, other.values)]
                return Vector(new_values)
            else:
                raise ValueError("Vectors must have the same length")
        else:
            raise TypeError("Unsupported operand type")

    def __mul__(self, other):
        if isinstance(other, (int, float)):
            new_values = [x * other for x in self.values]
            return Vector(new_values)
        else:
            raise TypeError("Unsupported operand type")

    def __repr__(self):
        return repr(self.values)


vector1 = Vector([2, 4, 6, 8, 10])
vector2 = Vector([1, 2, 3, 4, 5])
print(vector1 + vector2)
print(vector1 - vector2)
print(vector1 * 2)

vector = [2, 4, 6, 8, 10]
print(vector[0])  # 输出第一个元素
print(vector[-1])  # 输出最后一个元素

vector = [2, 4, 6, 8, 10]
vector[0] = 1  # 修改第一个元素为1
print(vector)

vector1 = [1, 2, 3]
vector2 = [4, 5, 6]
vector3 = vector1 + vector2
print(vector3)

vector = [1, 2, 3, 4, 5]
sum_value = sum(vector)
print(sum_value)

vector = [1, 2, 3, 4, 5]
mean_value = sum(vector) / len(vector)
print(mean_value)

vector1 = [1, 2, 3]
vector2 = [4, 5, 6]
dot_product = sum(x * y for x, y in zip(vector1, vector2))
print(dot_product)