StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics https://doi.org/10.1109/TVCG.2020.3030352
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StackGenVis/frontend/node_modules/big-rat/test/bn-to-num.js

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4 years ago
var test = require('tape')
var bn = require('bn.js')
var toFloat = require('../lib/bn-to-num')
test('single word', function (t) {
t.equal(toFloat(new bn(-1234567)), -1234567, 'negative')
t.equal(toFloat(new bn(1234567)), 1234567, 'positive')
t.end()
})
test('two words', function (t) {
var v = 12345671234567
t.equal(toFloat(new bn(v)), v, 'positive')
t.equal(toFloat(new bn(-v)), -v, 'negative')
t.end()
})
test('more words (positive)', function (t) {
var n = new bn('1234567123456712345671234567', 10)
var v = toFloat(n)
t.equal(v, +n.toString(), 'positive')
t.end()
})
test('more words (negative)', function (t) {
var n = new bn('-1234567123456712345671234567', 10)
var v = toFloat(n)
t.equal(v, +n.toString(), 'negative')
t.end()
})
test('powers of 2', function (t) {
for (var i = 0; i < 1024; ++i) {
var x = Math.pow(2, i)
var y = (new bn(1)).ushln(i)
t.same(toFloat(y), x, x)
t.same(toFloat(y.neg()), -x, -x)
}
t.end()
})