"use strict"; Object.defineProperty(exports, "__esModule", { value: true }); exports.createMatrixFromColumns = void 0; var _factory = require("../../utils/factory.js"); const name = 'matrixFromColumns'; const dependencies = ['typed', 'matrix', 'flatten', 'size']; const createMatrixFromColumns = exports.createMatrixFromColumns = /* #__PURE__ */(0, _factory.factory)(name, dependencies, _ref => { let { typed, matrix, flatten, size } = _ref; /** * Create a dense matrix from vectors as individual columns. * If you pass row vectors, they will be transposed (but not conjugated!) * * Syntax: * * math.matrixFromColumns(...arr) * math.matrixFromColumns(col1, col2) * math.matrixFromColumns(col1, col2, col3) * * Examples: * * math.matrixFromColumns([1, 2, 3], [[4],[5],[6]]) * math.matrixFromColumns(...vectors) * * See also: * * matrix, matrixFromRows, matrixFromFunction, zeros * * @param {... Array | Matrix} cols Multiple columns * @return { number[][] | Matrix } if at least one of the arguments is an array, an array will be returned */ return typed(name, { '...Array': function (arr) { return _createArray(arr); }, '...Matrix': function (arr) { return matrix(_createArray(arr.map(m => m.toArray()))); } // TODO implement this properly for SparseMatrix }); function _createArray(arr) { if (arr.length === 0) throw new TypeError('At least one column is needed to construct a matrix.'); const N = checkVectorTypeAndReturnLength(arr[0]); // create an array with empty rows const result = []; for (let i = 0; i < N; i++) { result[i] = []; } // loop columns for (const col of arr) { const colLength = checkVectorTypeAndReturnLength(col); if (colLength !== N) { throw new TypeError('The vectors had different length: ' + (N | 0) + ' ≠ ' + (colLength | 0)); } const f = flatten(col); // push a value to each row for (let i = 0; i < N; i++) { result[i].push(f[i]); } } return result; } function checkVectorTypeAndReturnLength(vec) { const s = size(vec); if (s.length === 1) { // 1D vector return s[0]; } else if (s.length === 2) { // 2D vector if (s[0] === 1) { // row vector return s[1]; } else if (s[1] === 1) { // col vector return s[0]; } else { throw new TypeError('At least one of the arguments is not a vector.'); } } else { throw new TypeError('Only one- or two-dimensional vectors are supported.'); } } });