"use strict"; Object.defineProperty(exports, "__esModule", { value: true }); exports.createDotDivide = void 0; var _factory = require("../../utils/factory.js"); var _algorithm = require("../../type/matrix/utils/algorithm02.js"); var _algorithm2 = require("../../type/matrix/utils/algorithm03.js"); var _algorithm3 = require("../../type/matrix/utils/algorithm07.js"); var _algorithm4 = require("../../type/matrix/utils/algorithm11.js"); var _algorithm5 = require("../../type/matrix/utils/algorithm12.js"); var _algorithm6 = require("../../type/matrix/utils/algorithm13.js"); var _algorithm7 = require("../../type/matrix/utils/algorithm14.js"); var name = 'dotDivide'; var dependencies = ['typed', 'matrix', 'equalScalar', 'divideScalar', 'DenseMatrix']; var createDotDivide = /* #__PURE__ */(0, _factory.factory)(name, dependencies, function (_ref) { var typed = _ref.typed, matrix = _ref.matrix, equalScalar = _ref.equalScalar, divideScalar = _ref.divideScalar, DenseMatrix = _ref.DenseMatrix; var algorithm02 = (0, _algorithm.createAlgorithm02)({ typed: typed, equalScalar: equalScalar }); var algorithm03 = (0, _algorithm2.createAlgorithm03)({ typed: typed }); var algorithm07 = (0, _algorithm3.createAlgorithm07)({ typed: typed, DenseMatrix: DenseMatrix }); var algorithm11 = (0, _algorithm4.createAlgorithm11)({ typed: typed, equalScalar: equalScalar }); var algorithm12 = (0, _algorithm5.createAlgorithm12)({ typed: typed, DenseMatrix: DenseMatrix }); var algorithm13 = (0, _algorithm6.createAlgorithm13)({ typed: typed }); var algorithm14 = (0, _algorithm7.createAlgorithm14)({ typed: typed }); /** * Divide two matrices element wise. The function accepts both matrices and * scalar values. * * Syntax: * * math.dotDivide(x, y) * * Examples: * * math.dotDivide(2, 4) // returns 0.5 * * a = [[9, 5], [6, 1]] * b = [[3, 2], [5, 2]] * * math.dotDivide(a, b) // returns [[3, 2.5], [1.2, 0.5]] * math.divide(a, b) // returns [[1.75, 0.75], [-1.75, 2.25]] * * See also: * * divide, multiply, dotMultiply * * @param {number | BigNumber | Fraction | Complex | Unit | Array | Matrix} x Numerator * @param {number | BigNumber | Fraction | Complex | Unit | Array | Matrix} y Denominator * @return {number | BigNumber | Fraction | Complex | Unit | Array | Matrix} Quotient, `x ./ y` */ return typed(name, { 'any, any': divideScalar, 'SparseMatrix, SparseMatrix': function SparseMatrixSparseMatrix(x, y) { return algorithm07(x, y, divideScalar, false); }, 'SparseMatrix, DenseMatrix': function SparseMatrixDenseMatrix(x, y) { return algorithm02(y, x, divideScalar, true); }, 'DenseMatrix, SparseMatrix': function DenseMatrixSparseMatrix(x, y) { return algorithm03(x, y, divideScalar, false); }, 'DenseMatrix, DenseMatrix': function DenseMatrixDenseMatrix(x, y) { return algorithm13(x, y, divideScalar); }, 'Array, Array': function ArrayArray(x, y) { // use matrix implementation return this(matrix(x), matrix(y)).valueOf(); }, 'Array, Matrix': function ArrayMatrix(x, y) { // use matrix implementation return this(matrix(x), y); }, 'Matrix, Array': function MatrixArray(x, y) { // use matrix implementation return this(x, matrix(y)); }, 'SparseMatrix, any': function SparseMatrixAny(x, y) { return algorithm11(x, y, divideScalar, false); }, 'DenseMatrix, any': function DenseMatrixAny(x, y) { return algorithm14(x, y, divideScalar, false); }, 'any, SparseMatrix': function anySparseMatrix(x, y) { return algorithm12(y, x, divideScalar, true); }, 'any, DenseMatrix': function anyDenseMatrix(x, y) { return algorithm14(y, x, divideScalar, true); }, 'Array, any': function ArrayAny(x, y) { // use matrix implementation return algorithm14(matrix(x), y, divideScalar, false).valueOf(); }, 'any, Array': function anyArray(x, y) { // use matrix implementation return algorithm14(matrix(y), x, divideScalar, true).valueOf(); } }); }); exports.createDotDivide = createDotDivide;