85 lines
2.5 KiB
JavaScript
85 lines
2.5 KiB
JavaScript
"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.createDotDivide = void 0;
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var _factory = require("../../utils/factory.js");
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var _matAlgo02xDS = require("../../type/matrix/utils/matAlgo02xDS0.js");
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var _matAlgo03xDSf = require("../../type/matrix/utils/matAlgo03xDSf.js");
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var _matAlgo07xSSf = require("../../type/matrix/utils/matAlgo07xSSf.js");
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var _matAlgo11xS0s = require("../../type/matrix/utils/matAlgo11xS0s.js");
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var _matAlgo12xSfs = require("../../type/matrix/utils/matAlgo12xSfs.js");
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var _matrixAlgorithmSuite = require("../../type/matrix/utils/matrixAlgorithmSuite.js");
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const name = 'dotDivide';
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const dependencies = ['typed', 'matrix', 'equalScalar', 'divideScalar', 'DenseMatrix', 'concat', 'SparseMatrix'];
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const createDotDivide = exports.createDotDivide = /* #__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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equalScalar,
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divideScalar,
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DenseMatrix,
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concat,
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SparseMatrix
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} = _ref;
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const matAlgo02xDS0 = (0, _matAlgo02xDS.createMatAlgo02xDS0)({
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typed,
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equalScalar
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});
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const matAlgo03xDSf = (0, _matAlgo03xDSf.createMatAlgo03xDSf)({
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typed
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});
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const matAlgo07xSSf = (0, _matAlgo07xSSf.createMatAlgo07xSSf)({
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typed,
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SparseMatrix
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});
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const matAlgo11xS0s = (0, _matAlgo11xS0s.createMatAlgo11xS0s)({
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typed,
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equalScalar
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});
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const matAlgo12xSfs = (0, _matAlgo12xSfs.createMatAlgo12xSfs)({
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typed,
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DenseMatrix
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});
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const matrixAlgorithmSuite = (0, _matrixAlgorithmSuite.createMatrixAlgorithmSuite)({
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typed,
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matrix,
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concat
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});
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/**
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* Divide two matrices element wise. The function accepts both matrices and
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* scalar values.
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*
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* Syntax:
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*
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* math.dotDivide(x, y)
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*
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* Examples:
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*
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* math.dotDivide(2, 4) // returns 0.5
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*
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* a = [[9, 5], [6, 1]]
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* b = [[3, 2], [5, 2]]
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*
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* math.dotDivide(a, b) // returns [[3, 2.5], [1.2, 0.5]]
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* math.divide(a, b) // returns [[1.75, 0.75], [-1.75, 2.25]]
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*
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* See also:
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*
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* divide, multiply, dotMultiply
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*
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* @param {number | BigNumber | Fraction | Complex | Unit | Array | Matrix} x Numerator
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* @param {number | BigNumber | Fraction | Complex | Unit | Array | Matrix} y Denominator
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* @return {number | BigNumber | Fraction | Complex | Unit | Array | Matrix} Quotient, `x ./ y`
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*/
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return typed(name, matrixAlgorithmSuite({
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elop: divideScalar,
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SS: matAlgo07xSSf,
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DS: matAlgo03xDSf,
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SD: matAlgo02xDS0,
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Ss: matAlgo11xS0s,
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sS: matAlgo12xSfs
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}));
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}); |