simple-squiggle

A restricted subset of Squiggle
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dotDivide.js (3895B)

      1 import { factory } from '../../utils/factory.js';
      2 import { createAlgorithm02 } from '../../type/matrix/utils/algorithm02.js';
      3 import { createAlgorithm03 } from '../../type/matrix/utils/algorithm03.js';
      4 import { createAlgorithm07 } from '../../type/matrix/utils/algorithm07.js';
      5 import { createAlgorithm11 } from '../../type/matrix/utils/algorithm11.js';
      6 import { createAlgorithm12 } from '../../type/matrix/utils/algorithm12.js';
      7 import { createAlgorithm13 } from '../../type/matrix/utils/algorithm13.js';
      8 import { createAlgorithm14 } from '../../type/matrix/utils/algorithm14.js';
      9 var name = 'dotDivide';
     10 var dependencies = ['typed', 'matrix', 'equalScalar', 'divideScalar', 'DenseMatrix'];
     11 export var createDotDivide = /* #__PURE__ */factory(name, dependencies, _ref => {
     12   var {
     13     typed,
     14     matrix,
     15     equalScalar,
     16     divideScalar,
     17     DenseMatrix
     18   } = _ref;
     19   var algorithm02 = createAlgorithm02({
     20     typed,
     21     equalScalar
     22   });
     23   var algorithm03 = createAlgorithm03({
     24     typed
     25   });
     26   var algorithm07 = createAlgorithm07({
     27     typed,
     28     DenseMatrix
     29   });
     30   var algorithm11 = createAlgorithm11({
     31     typed,
     32     equalScalar
     33   });
     34   var algorithm12 = createAlgorithm12({
     35     typed,
     36     DenseMatrix
     37   });
     38   var algorithm13 = createAlgorithm13({
     39     typed
     40   });
     41   var algorithm14 = createAlgorithm14({
     42     typed
     43   });
     44   /**
     45    * Divide two matrices element wise. The function accepts both matrices and
     46    * scalar values.
     47    *
     48    * Syntax:
     49    *
     50    *    math.dotDivide(x, y)
     51    *
     52    * Examples:
     53    *
     54    *    math.dotDivide(2, 4)   // returns 0.5
     55    *
     56    *    a = [[9, 5], [6, 1]]
     57    *    b = [[3, 2], [5, 2]]
     58    *
     59    *    math.dotDivide(a, b)   // returns [[3, 2.5], [1.2, 0.5]]
     60    *    math.divide(a, b)      // returns [[1.75, 0.75], [-1.75, 2.25]]
     61    *
     62    * See also:
     63    *
     64    *    divide, multiply, dotMultiply
     65    *
     66    * @param  {number | BigNumber | Fraction | Complex | Unit | Array | Matrix} x Numerator
     67    * @param  {number | BigNumber | Fraction | Complex | Unit | Array | Matrix} y Denominator
     68    * @return {number | BigNumber | Fraction | Complex | Unit | Array | Matrix}                    Quotient, `x ./ y`
     69    */
     70 
     71   return typed(name, {
     72     'any, any': divideScalar,
     73     'SparseMatrix, SparseMatrix': function SparseMatrixSparseMatrix(x, y) {
     74       return algorithm07(x, y, divideScalar, false);
     75     },
     76     'SparseMatrix, DenseMatrix': function SparseMatrixDenseMatrix(x, y) {
     77       return algorithm02(y, x, divideScalar, true);
     78     },
     79     'DenseMatrix, SparseMatrix': function DenseMatrixSparseMatrix(x, y) {
     80       return algorithm03(x, y, divideScalar, false);
     81     },
     82     'DenseMatrix, DenseMatrix': function DenseMatrixDenseMatrix(x, y) {
     83       return algorithm13(x, y, divideScalar);
     84     },
     85     'Array, Array': function ArrayArray(x, y) {
     86       // use matrix implementation
     87       return this(matrix(x), matrix(y)).valueOf();
     88     },
     89     'Array, Matrix': function ArrayMatrix(x, y) {
     90       // use matrix implementation
     91       return this(matrix(x), y);
     92     },
     93     'Matrix, Array': function MatrixArray(x, y) {
     94       // use matrix implementation
     95       return this(x, matrix(y));
     96     },
     97     'SparseMatrix, any': function SparseMatrixAny(x, y) {
     98       return algorithm11(x, y, divideScalar, false);
     99     },
    100     'DenseMatrix, any': function DenseMatrixAny(x, y) {
    101       return algorithm14(x, y, divideScalar, false);
    102     },
    103     'any, SparseMatrix': function anySparseMatrix(x, y) {
    104       return algorithm12(y, x, divideScalar, true);
    105     },
    106     'any, DenseMatrix': function anyDenseMatrix(x, y) {
    107       return algorithm14(y, x, divideScalar, true);
    108     },
    109     'Array, any': function ArrayAny(x, y) {
    110       // use matrix implementation
    111       return algorithm14(matrix(x), y, divideScalar, false).valueOf();
    112     },
    113     'any, Array': function anyArray(x, y) {
    114       // use matrix implementation
    115       return algorithm14(matrix(y), x, divideScalar, true).valueOf();
    116     }
    117   });
    118 });