NumPy 是 Python 中用于科学计算的一个基础库，它提供了大量的数学函数工具，尤其是用于高效处理大型多维数组和矩阵。NumPy 是 Python 数据分析、机器学习、科学计算等领域中不可或缺的一部分。

然，在wps的js宏编辑器中，并没有这样一个模块或是全局对象，但是，问题不大，我们可以手搓一个。不过，要使用JS完全模拟python中的numpy是比较困难的，工作量也非常的大，我们可以适当简化一下，如只对常用方法和属性进行模拟。

一、自定义错误

javascript">class DimensionError extends Error {constructor(message) {super(message);this.name = "维度错误";}
}class ValueError extends Error {constructor(message) {super(message);this.name = "值错误";}
}

上述代码中，定义了一个维度错误和值错误，是py中numpy模块中常见的两种错误。

二、构造Numpy全局对象

1、示例代码：

javascript">class Numpy {constructor(array) {if (array !== undefined && !Array.isArray(array)) {throw new TypeError("the parm array must be array.");} this.#_array = array;}// 获取数组维度get ndim() {let n = 0;let array = this.#_array;while (Array.isArray(array)) {n++;array = array[0];}return n;}// 返回数组的维度，是一个整数数组，表示每个维度中数组的大小。对于具有 n 行和 m 列的矩阵，shape 将是 [n, m]。get shape() {let result = [];let n = this.ndim;let array = this.#_array; while (n > 0) {result.push(array.length);array = array[0];n--;}return result;}// 返回数组中所有元素的个数get size() {let arr = this.shape;let product = 1;for (let i = 0; i < arr.length; i++) {product *= arr[i];}return product;}// 转置get T() {return this.#_transpose(this.#_array);}get random() {// random对象let self = this;return {rand: function(shape) {// 生成shape形状的随机数组，数值用随机数填充if (shape === undefined || shape === null) return Math.random();if (!Array.isArray(shape)) throw new TypeError("param shape must be array.");if (!shape.every(i => Number.isInteger(i)))  throw new TypeError("shape must be array of integer.");return self.full(shape, () => Math.random()); },randn: function(shape) {// 随机正态分布if (typeof shape === "number") shape = [shape]; // 如果 shape 是数字，转换为数组if (!Array.isArray(shape)) throw new TypeError("shape must be a number or array");const totalElements = shape.reduce((acc, val) => acc * val, 1); // 计算总元素个数const result = Array.from({ length: totalElements }, () => self.#_randn()); // 生成随机数// 将一维数组转换为多维数组function reshape(arr, shape) {if (shape.length === 1) return arr;const [currentDim, ...remainingDims] = shape;const result = [];const chunkSize = arr.length / currentDim;for (let i = 0; i < currentDim; i++) {result.push(reshape(arr.slice(i * chunkSize, (i + 1) * chunkSize), remainingDims));}return result;}return new Numpy(reshape(result, shape));},randint: function(low, high = null, size = null) {if (high === null) {high = low;low = 0;}if (low >= high) throw new ValueError("low must be less than high");// 单个随机整数function getRandomInt(low, high) {return Math.floor(Math.random() * (high - low)) + low;}// 如果 size 未提供，返回单个随机数if (size === null) return getRandomInt(low, high);// 如果 size 是数字，转换为数组if (typeof size === "number") size = [size];if (!Array.isArray(size)) throw new TypeError("size must be a number or array");const totalElements = size.reduce((acc, val) => acc * val, 1);const result = Array.from({ length: totalElements }, () => getRandomInt(low, high));function reshape(arr, shape) {if (shape.length === 1) return arr;const [currentDim, ...remainingDims] = shape;const result = [];const chunkSize = arr.length / currentDim;for (let i = 0; i < currentDim; i++) {result.push(reshape(arr.slice(i * chunkSize, (i + 1) * chunkSize), remainingDims));}return result;}return new Numpy(reshape(result, size));},choice: function(a, size = null, replace = true, p = null) {if (typeof a === "number") {a = Array.from({ length: a }, (_, i) => i); // 如果 a 是数字，生成 range(a)}if (!Array.isArray(a)) throw new TypeError("a must be a number or array");if (p !== null) {if (!Array.isArray(p)) throw new TypeError("p must be an array");if (p.length !== a.length) throw new ValueError("a and p must have the same length");if (p.some(prob => prob < 0)) throw new ValueError("probabilities must be non-negative");const totalProb = p.reduce((acc, val) => acc + val, 0);if (Math.abs(totalProb - 1) > 1e-6) throw new ValueError("probabilities must sum to 1");}// 如果 size 未提供，返回单个随机元素if (size === null) {if (p === null) {return a[Math.floor(Math.random() * a.length)];} else {const rand = Math.random();let cumulativeProb = 0;for (let i = 0; i < a.length; i++) {cumulativeProb += p[i];if (rand < cumulativeProb) return a[i];}}}// 如果 size 是数字，转换为数组if (typeof size === "number") size = [size];if (!Array.isArray(size)) throw new TypeError("size must be a number or array");const totalElements = size.reduce((acc, val) => acc * val, 1);const result = [];for (let i = 0; i < totalElements; i++) {if (p === null) {const randomIndex = Math.floor(Math.random() * a.length);result.push(a[randomIndex]);if (!replace) a.splice(randomIndex, 1); // 如果不允许重复，移除已选元素} else {const rand = Math.random();let cumulativeProb