使用vec4实现多个mat4，然后在Python语言中将其设置为vec3

// 创建多个mat4
var mat1 = mat4.create();
var mat2 = mat4.create();
var mat3 = mat4.create();

// 设置mat1的值
mat4.set(mat1, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16);

// 设置mat2的值
mat4.set(mat2, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32);

// 设置mat3的值
mat4.set(mat3, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48);

// 创建一个vec4
var vec4Result = vec4.create();

// 将mat1、mat2和mat3相乘，并将结果存储在vec4Result中
mat4.multiply(mat1, mat2, vec4Result);
mat4.multiply(vec4Result, mat3, vec4Result);

// 将vec4Result设置为vec3
var vec3Result = vec3.create();
vec3.set(vec3Result, vec4Result[0], vec4Result[1], vec4Result[2]);

// 输出结果
console.log(vec3Result);

import numpy as np

# 创建多个mat4
mat1 = np.array([[1, 2, 3, 4],
                 [5, 6, 7, 8],
                 [9, 10, 11, 12],
                 [13, 14, 15, 16]])

mat2 = np.array([[17, 18, 19, 20],
                 [21, 22, 23, 24],
                 [25, 26, 27, 28],
                 [29, 30, 31, 32]])

mat3 = np.array([[33, 34, 35, 36],
                 [37, 38, 39, 40],
                 [41, 42, 43, 44],
                 [45, 46, 47, 48]])

# 将mat1、mat2和mat3相乘
mat_result = np.matmul(np.matmul(mat1, mat2), mat3)

# 将mat_result设置为vec3
vec3_result = mat_result[:3, 0]

# 输出结果
print(vec3_result)