simple-squiggle

A restricted subset of Squiggle
Log | Files | Refs | README

matrixFromRows.js (4374B)


      1 "use strict";
      2 
      3 Object.defineProperty(exports, "__esModule", {
      4   value: true
      5 });
      6 exports.createMatrixFromRows = void 0;
      7 
      8 var _factory = require("../../utils/factory.js");
      9 
     10 function _createForOfIteratorHelper(o, allowArrayLike) { var it = typeof Symbol !== "undefined" && o[Symbol.iterator] || o["@@iterator"]; if (!it) { if (Array.isArray(o) || (it = _unsupportedIterableToArray(o)) || allowArrayLike && o && typeof o.length === "number") { if (it) o = it; var i = 0; var F = function F() {}; return { s: F, n: function n() { if (i >= o.length) return { done: true }; return { done: false, value: o[i++] }; }, e: function e(_e) { throw _e; }, f: F }; } throw new TypeError("Invalid attempt to iterate non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method."); } var normalCompletion = true, didErr = false, err; return { s: function s() { it = it.call(o); }, n: function n() { var step = it.next(); normalCompletion = step.done; return step; }, e: function e(_e2) { didErr = true; err = _e2; }, f: function f() { try { if (!normalCompletion && it.return != null) it.return(); } finally { if (didErr) throw err; } } }; }
     11 
     12 function _unsupportedIterableToArray(o, minLen) { if (!o) return; if (typeof o === "string") return _arrayLikeToArray(o, minLen); var n = Object.prototype.toString.call(o).slice(8, -1); if (n === "Object" && o.constructor) n = o.constructor.name; if (n === "Map" || n === "Set") return Array.from(o); if (n === "Arguments" || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n)) return _arrayLikeToArray(o, minLen); }
     13 
     14 function _arrayLikeToArray(arr, len) { if (len == null || len > arr.length) len = arr.length; for (var i = 0, arr2 = new Array(len); i < len; i++) { arr2[i] = arr[i]; } return arr2; }
     15 
     16 var name = 'matrixFromRows';
     17 var dependencies = ['typed', 'matrix', 'flatten', 'size'];
     18 var createMatrixFromRows = /* #__PURE__ */(0, _factory.factory)(name, dependencies, function (_ref) {
     19   var typed = _ref.typed,
     20       matrix = _ref.matrix,
     21       flatten = _ref.flatten,
     22       size = _ref.size;
     23 
     24   /**
     25    * Create a dense matrix from vectors as individual rows.
     26    * If you pass column vectors, they will be transposed (but not conjugated!)
     27    *
     28    * Syntax:
     29    *
     30    *    math.matrixFromRows(...arr)
     31    *    math.matrixFromRows(row1, row2)
     32    *    math.matrixFromRows(row1, row2, row3)
     33    *
     34    * Examples:
     35    *
     36    *    math.matrixFromRows([1, 2, 3], [[4],[5],[6]])
     37    *    math.matrixFromRows(...vectors)
     38    *
     39    * See also:
     40    *
     41    *    matrix, matrixFromColumns, matrixFromFunction, zeros
     42    *
     43    * @param {... Array | Matrix} rows  Multiple rows
     44    * @return { number[][] | Matrix } if at least one of the arguments is an array, an array will be returned
     45    */
     46   return typed(name, {
     47     '...Array': function Array(arr) {
     48       return _createArray(arr);
     49     },
     50     '...Matrix': function Matrix(arr) {
     51       return matrix(_createArray(arr.map(function (m) {
     52         return m.toArray();
     53       })));
     54     } // TODO implement this properly for SparseMatrix
     55 
     56   });
     57 
     58   function _createArray(arr) {
     59     if (arr.length === 0) throw new TypeError('At least one row is needed to construct a matrix.');
     60     var N = checkVectorTypeAndReturnLength(arr[0]);
     61     var result = [];
     62 
     63     var _iterator = _createForOfIteratorHelper(arr),
     64         _step;
     65 
     66     try {
     67       for (_iterator.s(); !(_step = _iterator.n()).done;) {
     68         var row = _step.value;
     69         var rowLength = checkVectorTypeAndReturnLength(row);
     70 
     71         if (rowLength !== N) {
     72           throw new TypeError('The vectors had different length: ' + (N | 0) + ' ≠ ' + (rowLength | 0));
     73         }
     74 
     75         result.push(flatten(row));
     76       }
     77     } catch (err) {
     78       _iterator.e(err);
     79     } finally {
     80       _iterator.f();
     81     }
     82 
     83     return result;
     84   }
     85 
     86   function checkVectorTypeAndReturnLength(vec) {
     87     var s = size(vec);
     88 
     89     if (s.length === 1) {
     90       // 1D vector
     91       return s[0];
     92     } else if (s.length === 2) {
     93       // 2D vector
     94       if (s[0] === 1) {
     95         // row vector
     96         return s[1];
     97       } else if (s[1] === 1) {
     98         // col vector
     99         return s[0];
    100       } else {
    101         throw new TypeError('At least one of the arguments is not a vector.');
    102       }
    103     } else {
    104       throw new TypeError('Only one- or two-dimensional vectors are supported.');
    105     }
    106   }
    107 });
    108 exports.createMatrixFromRows = createMatrixFromRows;