simple-squiggle/node_modules/mathjs/lib/esm/function/arithmetic/dotDivide.js

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import { factory } from '../../utils/factory.js';
import { createAlgorithm02 } from '../../type/matrix/utils/algorithm02.js';
import { createAlgorithm03 } from '../../type/matrix/utils/algorithm03.js';
import { createAlgorithm07 } from '../../type/matrix/utils/algorithm07.js';
import { createAlgorithm11 } from '../../type/matrix/utils/algorithm11.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';
var name = 'dotDivide';
var dependencies = ['typed', 'matrix', 'equalScalar', 'divideScalar', 'DenseMatrix'];
export var createDotDivide = /* #__PURE__ */factory(name, dependencies, _ref => {
var {
typed,
matrix,
equalScalar,
divideScalar,
DenseMatrix
} = _ref;
var algorithm02 = createAlgorithm02({
typed,
equalScalar
});
var algorithm03 = createAlgorithm03({
typed
});
var algorithm07 = createAlgorithm07({
typed,
DenseMatrix
});
var algorithm11 = createAlgorithm11({
typed,
equalScalar
});
var algorithm12 = createAlgorithm12({
typed,
DenseMatrix
});
var algorithm13 = createAlgorithm13({
typed
});
var algorithm14 = createAlgorithm14({
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();
}
});
});