feat:node-modules
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82
node_modules/mathjs/lib/cjs/function/matrix/matrixFromRows.js
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vendored
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82
node_modules/mathjs/lib/cjs/function/matrix/matrixFromRows.js
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"use strict";
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Object.defineProperty(exports, "__esModule", {
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value: true
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});
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exports.createMatrixFromRows = void 0;
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var _factory = require("../../utils/factory.js");
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const name = 'matrixFromRows';
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const dependencies = ['typed', 'matrix', 'flatten', 'size'];
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const createMatrixFromRows = exports.createMatrixFromRows = /* #__PURE__ */(0, _factory.factory)(name, dependencies, _ref => {
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let {
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typed,
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matrix,
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flatten,
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size
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} = _ref;
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/**
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* Create a dense matrix from vectors as individual rows.
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* If you pass column vectors, they will be transposed (but not conjugated!)
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*
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* Syntax:
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*
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* math.matrixFromRows(...arr)
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* math.matrixFromRows(row1, row2)
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* math.matrixFromRows(row1, row2, row3)
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*
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* Examples:
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*
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* math.matrixFromRows([1, 2, 3], [[4],[5],[6]])
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* math.matrixFromRows(...vectors)
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*
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* See also:
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*
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* matrix, matrixFromColumns, matrixFromFunction, zeros
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*
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* @param {... Array | Matrix} rows Multiple rows
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* @return { number[][] | Matrix } if at least one of the arguments is an array, an array will be returned
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*/
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return typed(name, {
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'...Array': function (arr) {
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return _createArray(arr);
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},
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'...Matrix': function (arr) {
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return matrix(_createArray(arr.map(m => m.toArray())));
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}
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// TODO implement this properly for SparseMatrix
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});
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function _createArray(arr) {
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if (arr.length === 0) throw new TypeError('At least one row is needed to construct a matrix.');
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const N = checkVectorTypeAndReturnLength(arr[0]);
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const result = [];
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for (const row of arr) {
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const rowLength = checkVectorTypeAndReturnLength(row);
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if (rowLength !== N) {
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throw new TypeError('The vectors had different length: ' + (N | 0) + ' ≠ ' + (rowLength | 0));
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}
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result.push(flatten(row));
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}
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return result;
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}
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function checkVectorTypeAndReturnLength(vec) {
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const s = size(vec);
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if (s.length === 1) {
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// 1D vector
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return s[0];
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} else if (s.length === 2) {
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// 2D vector
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if (s[0] === 1) {
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// row vector
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return s[1];
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} else if (s[1] === 1) {
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// col vector
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return s[0];
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} else {
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throw new TypeError('At least one of the arguments is not a vector.');
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}
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} else {
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throw new TypeError('Only one- or two-dimensional vectors are supported.');
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}
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}
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});
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