122 lines
3.7 KiB
JavaScript
122 lines
3.7 KiB
JavaScript
import { createMatAlgo02xDS0 } from '../../type/matrix/utils/matAlgo02xDS0.js';
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import { createMatAlgo11xS0s } from '../../type/matrix/utils/matAlgo11xS0s.js';
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import { createMatAlgo14xDs } from '../../type/matrix/utils/matAlgo14xDs.js';
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import { createMatAlgo06xS0S0 } from '../../type/matrix/utils/matAlgo06xS0S0.js';
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import { factory } from '../../utils/factory.js';
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import { createMatrixAlgorithmSuite } from '../../type/matrix/utils/matrixAlgorithmSuite.js';
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import { andNumber } from '../../plain/number/index.js';
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var name = 'and';
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var dependencies = ['typed', 'matrix', 'equalScalar', 'zeros', 'not', 'concat'];
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export var createAnd = /* #__PURE__ */factory(name, dependencies, _ref => {
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var {
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typed,
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matrix,
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equalScalar,
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zeros,
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not,
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concat
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} = _ref;
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var matAlgo02xDS0 = createMatAlgo02xDS0({
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typed,
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equalScalar
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});
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var matAlgo06xS0S0 = createMatAlgo06xS0S0({
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typed,
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equalScalar
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});
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var matAlgo11xS0s = createMatAlgo11xS0s({
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typed,
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equalScalar
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});
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var matAlgo14xDs = createMatAlgo14xDs({
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typed
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});
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var 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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* Logical `and`. Test whether two values are both defined with a nonzero/nonempty value.
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* For matrices, the function is evaluated element wise.
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*
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* Syntax:
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*
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* math.and(x, y)
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*
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* Examples:
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*
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* math.and(2, 4) // returns true
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*
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* a = [2, 0, 0]
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* b = [3, 7, 0]
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* c = 0
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*
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* math.and(a, b) // returns [true, false, false]
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* math.and(a, c) // returns [false, false, false]
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*
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* See also:
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*
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* not, or, xor
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*
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* @param {number | BigNumber | bigint | Complex | Unit | Array | Matrix} x First value to check
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* @param {number | BigNumber | bigint | Complex | Unit | Array | Matrix} y Second value to check
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* @return {boolean | Array | Matrix}
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* Returns true when both inputs are defined with a nonzero/nonempty value.
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*/
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return typed(name, {
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'number, number': andNumber,
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'Complex, Complex': function Complex_Complex(x, y) {
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return (x.re !== 0 || x.im !== 0) && (y.re !== 0 || y.im !== 0);
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},
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'BigNumber, BigNumber': function BigNumber_BigNumber(x, y) {
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return !x.isZero() && !y.isZero() && !x.isNaN() && !y.isNaN();
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},
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'bigint, bigint': andNumber,
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'Unit, Unit': typed.referToSelf(self => (x, y) => self(x.value || 0, y.value || 0)),
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'SparseMatrix, any': typed.referToSelf(self => (x, y) => {
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// check scalar
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if (not(y)) {
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// return zero matrix
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return zeros(x.size(), x.storage());
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}
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return matAlgo11xS0s(x, y, self, false);
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}),
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'DenseMatrix, any': typed.referToSelf(self => (x, y) => {
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// check scalar
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if (not(y)) {
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// return zero matrix
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return zeros(x.size(), x.storage());
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}
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return matAlgo14xDs(x, y, self, false);
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}),
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'any, SparseMatrix': typed.referToSelf(self => (x, y) => {
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// check scalar
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if (not(x)) {
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// return zero matrix
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return zeros(x.size(), x.storage());
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}
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return matAlgo11xS0s(y, x, self, true);
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}),
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'any, DenseMatrix': typed.referToSelf(self => (x, y) => {
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// check scalar
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if (not(x)) {
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// return zero matrix
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return zeros(x.size(), x.storage());
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}
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return matAlgo14xDs(y, x, self, true);
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}),
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'Array, any': typed.referToSelf(self => (x, y) => {
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// use matrix implementation
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return self(matrix(x), y).valueOf();
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}),
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'any, Array': typed.referToSelf(self => (x, y) => {
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// use matrix implementation
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return self(x, matrix(y)).valueOf();
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})
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}, matrixAlgorithmSuite({
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SS: matAlgo06xS0S0,
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DS: matAlgo02xDS0
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}));
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}); |