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