Glen Whitney 8510b850ad
fix: handle bigints properly in more cases (#3345)
* fix: Handle bigints properly in more cases
  * Allow a bigint to appear in a max/min of nonhomogeneous arguments
  * If randomInt is called with a bigint or a pair of bigints, return
    a bigint.
  * Preserve uniformity of results if randomInt is called with a very large
    range.
  * Extend log, log2, and log10 to bigints
  * Add tests for all of the above issues.
  * Bonus: fix one JSDoc comment issue. If every PR fixes one, we will soon
    get through the 150+

* fix: Refactors per comments and 1 bonus doc test (isInteger)

* chore: fix lint

---------

Co-authored-by: Jos de Jong <wjosdejong@gmail.com>
2025-01-24 10:59:13 +01:00

145 lines
6.0 KiB
JavaScript

// test log
import assert from 'assert'
import { approxDeepEqual } from '../../../../tools/approx.js'
import math from '../../../../src/defaultInstance.js'
const mathPredictable = math.create({ predictable: true })
const complex = math.complex
const matrix = math.matrix
const unit = math.unit
const fraction = math.fraction
const log = math.log
describe('log', function () {
it('should return the log of a boolean value', function () {
assert.strictEqual(log(true), 0)
assert.strictEqual(log(false), -Infinity)
assert.strictEqual(log(1, false), -0)
})
it('should return the log of positive numbers', function () {
approxDeepEqual(log(1), 0)
approxDeepEqual(log(2), 0.693147180559945)
approxDeepEqual(log(3), 1.098612288668110)
approxDeepEqual(math.exp(log(100)), 100)
})
it('should return the log of negative numbers', function () {
approxDeepEqual(log(-1), complex('0.000000000000000 + 3.141592653589793i'))
approxDeepEqual(log(-2), complex('0.693147180559945 + 3.141592653589793i'))
approxDeepEqual(log(-3), complex('1.098612288668110 + 3.141592653589793i'))
})
it('should return the log of negative numbers with predictable: true', function () {
assert.strictEqual(typeof mathPredictable.log(-1), 'number')
assert(isNaN(mathPredictable.log(-1)))
})
it('should return the log of zero', function () {
approxDeepEqual(log(0), -Infinity)
})
it('should return the log base N of a number', function () {
approxDeepEqual(log(100, 10), 2)
approxDeepEqual(log(1000, 10), 3)
approxDeepEqual(log(8, 2), 3)
approxDeepEqual(log(16, 2), 4)
})
it('should throw an error if invalid number of arguments', function () {
assert.throws(function () { log() }, /TypeError: Too few arguments in function log \(expected: any, index: 0\)/)
assert.throws(function () { log(1, 2, 3) }, /TypeError: Too many arguments in function log \(expected: 2, actual: 3\)/)
})
it('should throw an in case of wrong type of arguments', function () {
assert.throws(function () { log(null) }, /Too few arguments/) // TODO: this is a misleading error message
})
it('should return the log of positive bignumbers', function () {
const bigmath = math.create({ precision: 100 })
assert.deepStrictEqual(bigmath.log(bigmath.bignumber(1)), bigmath.bignumber('0'))
assert.deepStrictEqual(bigmath.log(bigmath.bignumber(2)), bigmath.bignumber('0.6931471805599453094172321214581765680755001343602552541206800094933936219696947156058633269964186875'))
assert.deepStrictEqual(bigmath.log(bigmath.bignumber(3)), bigmath.bignumber('1.098612288668109691395245236922525704647490557822749451734694333637494293218608966873615754813732089'))
// note: the following gives a round-off error with regular numbers
assert.deepStrictEqual(bigmath.log(bigmath.bignumber(1000), bigmath.bignumber(10)), bigmath.bignumber(3))
})
it('should return the log of negative bignumbers', function () {
const bigmath = math.create({ precision: 100 })
approxDeepEqual(bigmath.log(bigmath.bignumber(-1)), complex('0.000000000000000 + 3.141592653589793i'))
approxDeepEqual(bigmath.log(bigmath.bignumber(-2)), complex('0.693147180559945 + 3.141592653589793i'))
approxDeepEqual(bigmath.log(bigmath.bignumber(-3)), complex('1.098612288668110 + 3.141592653589793i'))
})
it('should return the log of negative bignumbers with predictable:true', function () {
assert.ok(mathPredictable.log(math.bignumber(-1)).isNaN())
})
it('should return the log of a bignumber with value zero', function () {
const bigmath = math.create({ precision: 100 })
assert.deepStrictEqual(bigmath.log(bigmath.bignumber(0)).toString(), '-Infinity')
})
it('should return the log of a complex number', function () {
approxDeepEqual(log(math.i), complex('1.570796326794897i'))
approxDeepEqual(log(complex(0, -1)), complex('-1.570796326794897i'))
approxDeepEqual(log(complex(1, 1)), complex('0.346573590279973 + 0.785398163397448i'))
approxDeepEqual(log(complex(1, -1)), complex('0.346573590279973 - 0.785398163397448i'))
approxDeepEqual(log(complex(-1, -1)), complex('0.346573590279973 - 2.356194490192345i'))
approxDeepEqual(log(complex(-1, 1)), complex('0.346573590279973 + 2.356194490192345i'))
approxDeepEqual(log(complex(1, 0)), complex(0, 0))
})
it('should return the log of a Fraction', function () {
approxDeepEqual(log(fraction(27, 8), fraction(9, 4)), fraction(3, 2))
assert.throws(() => log(fraction(27, 8), fraction(-2, 5)),
/Cannot implicitly convert a Fraction to BigNumber or vice versa/
)
})
it('should handle complex number with large imaginary part', function () {
const tau4 = math.tau / 4
const real = [0, -1, 1]
const imaginary = [1e15, 1e17, 1e20, 1e30]
for (const r of real) {
for (const im of imaginary) {
approxDeepEqual(log(complex(r, im)), complex(Math.log(im), tau4))
}
}
})
it('should return the log of a large bigint', function () {
const ten16 = 10000000000000000n
approxDeepEqual(log(ten16), 16 * log(10n))
})
it('should throw an error when used on a unit', function () {
assert.throws(function () { log(unit('5cm')) })
})
it('should throw an error when used on a string', function () {
assert.throws(function () { log('text') })
})
it('should not operate on a matrix', function () {
const res = [0, 0.693147180559945, 1.098612288668110, 1.386294361119891]
assert.throws(() => log([1, 2, 3, 4]), TypeError)
approxDeepEqual(math.map([1, 2, 3, 4], x => log(x)), res)
approxDeepEqual(math.map(matrix([1, 2, 3, 4]), x => log(x)), matrix(res))
approxDeepEqual(math.map(matrix([[1, 2], [3, 4]]), x => log(x)),
matrix([[0, 0.693147180559945], [1.098612288668110, 1.386294361119891]]))
})
it('should LaTeX log', function () {
const expr1 = math.parse('log(e)')
const expr2 = math.parse('log(32,2)')
assert.strictEqual(expr1.toTex(), '\\ln\\left( e\\right)')
assert.strictEqual(expr2.toTex(), '\\log_{2}\\left(32\\right)')
})
})