import { factory } from '../../utils/factory.js'; var name = 'matrixFromRows'; var dependencies = ['typed', 'matrix', 'flatten', 'size']; export var createMatrixFromRows = /* #__PURE__ */factory(name, dependencies, _ref => { var { typed, matrix, flatten, size } = _ref; /** * Create a dense matrix from vectors as individual rows. * If you pass column vectors, they will be transposed (but not conjugated!) * * Syntax: * * math.matrixFromRows(...arr) * math.matrixFromRows(row1, row2) * math.matrixFromRows(row1, row2, row3) * * Examples: * * math.matrixFromRows([1, 2, 3], [[4],[5],[6]]) * math.matrixFromRows(...vectors) * * See also: * * matrix, matrixFromColumns, matrixFromFunction, zeros * * @param {... Array | Matrix} rows Multiple rows * @return { number[][] | Matrix } if at least one of the arguments is an array, an array will be returned */ return typed(name, { '...Array': function Array(arr) { return _createArray(arr); }, '...Matrix': function Matrix(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 row is needed to construct a matrix.'); var N = checkVectorTypeAndReturnLength(arr[0]); var result = []; for (var row of arr) { var rowLength = checkVectorTypeAndReturnLength(row); if (rowLength !== N) { throw new TypeError('The vectors had different length: ' + (N | 0) + ' ≠ ' + (rowLength | 0)); } result.push(flatten(row)); } return result; } function checkVectorTypeAndReturnLength(vec) { var 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.'); } } });