simple-squiggle/node_modules/mathjs/lib/esm/function/logical/xor.js

118 lines
3.8 KiB
JavaScript

import { createAlgorithm03 } from '../../type/matrix/utils/algorithm03.js';
import { createAlgorithm07 } from '../../type/matrix/utils/algorithm07.js';
import { createAlgorithm12 } from '../../type/matrix/utils/algorithm12.js';
import { createAlgorithm13 } from '../../type/matrix/utils/algorithm13.js';
import { createAlgorithm14 } from '../../type/matrix/utils/algorithm14.js';
import { factory } from '../../utils/factory.js';
import { xorNumber } from '../../plain/number/index.js';
var name = 'xor';
var dependencies = ['typed', 'matrix', 'DenseMatrix'];
export var createXor = /* #__PURE__ */factory(name, dependencies, _ref => {
var {
typed,
matrix,
DenseMatrix
} = _ref;
var algorithm03 = createAlgorithm03({
typed
});
var algorithm07 = createAlgorithm07({
typed,
DenseMatrix
});
var algorithm12 = createAlgorithm12({
typed,
DenseMatrix
});
var algorithm13 = createAlgorithm13({
typed
});
var algorithm14 = createAlgorithm14({
typed
});
/**
* Logical `xor`. Test whether one and only one value is defined with a nonzero/nonempty value.
* For matrices, the function is evaluated element wise.
*
* Syntax:
*
* math.xor(x, y)
*
* Examples:
*
* math.xor(2, 4) // returns false
*
* a = [2, 0, 0]
* b = [2, 7, 0]
* c = 0
*
* math.xor(a, b) // returns [false, true, false]
* math.xor(a, c) // returns [true, false, false]
*
* See also:
*
* and, not, or
*
* @param {number | BigNumber | Complex | Unit | Array | Matrix} x First value to check
* @param {number | BigNumber | Complex | Unit | Array | Matrix} y Second value to check
* @return {boolean | Array | Matrix}
* Returns true when one and only one input is defined with a nonzero/nonempty value.
*/
return typed(name, {
'number, number': xorNumber,
'Complex, Complex': function ComplexComplex(x, y) {
return (x.re !== 0 || x.im !== 0) !== (y.re !== 0 || y.im !== 0);
},
'BigNumber, BigNumber': function BigNumberBigNumber(x, y) {
return (!x.isZero() && !x.isNaN()) !== (!y.isZero() && !y.isNaN());
},
'Unit, Unit': function UnitUnit(x, y) {
return this(x.value || 0, y.value || 0);
},
'SparseMatrix, SparseMatrix': function SparseMatrixSparseMatrix(x, y) {
return algorithm07(x, y, this);
},
'SparseMatrix, DenseMatrix': function SparseMatrixDenseMatrix(x, y) {
return algorithm03(y, x, this, true);
},
'DenseMatrix, SparseMatrix': function DenseMatrixSparseMatrix(x, y) {
return algorithm03(x, y, this, false);
},
'DenseMatrix, DenseMatrix': function DenseMatrixDenseMatrix(x, y) {
return algorithm13(x, y, this);
},
'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 algorithm12(x, y, this, false);
},
'DenseMatrix, any': function DenseMatrixAny(x, y) {
return algorithm14(x, y, this, false);
},
'any, SparseMatrix': function anySparseMatrix(x, y) {
return algorithm12(y, x, this, true);
},
'any, DenseMatrix': function anyDenseMatrix(x, y) {
return algorithm14(y, x, this, true);
},
'Array, any': function ArrayAny(x, y) {
// use matrix implementation
return algorithm14(matrix(x), y, this, false).valueOf();
},
'any, Array': function anyArray(x, y) {
// use matrix implementation
return algorithm14(matrix(y), x, this, true).valueOf();
}
});
});