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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76 lines
1.4 KiB
76 lines
1.4 KiB
4 years ago
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var assert = require('assert')
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var UINT64 = require('..').UINT64
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describe('subtract method', function () {
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describe('0-0', function () {
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it('should return 0', function (done) {
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var u = UINT64(0).subtract( UINT64(0) )
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assert.equal( u.toNumber(), 0 )
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done()
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})
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})
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describe('1-0', function () {
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it('should return 1', function (done) {
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var u = UINT64(1).subtract( UINT64(0) )
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assert.equal( u.toNumber(), 1 )
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done()
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})
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})
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describe('0-1', function () {
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it('should return -1', function (done) {
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var u = UINT64(0).subtract( UINT64(1) )
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assert.equal( u.toNumber(), -1 )
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done()
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})
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})
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describe('low bit-high bit', function () {
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it('should return 0', function (done) {
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var n = Math.pow(2, 17)
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var u = UINT64(1).subtract( UINT64(n) )
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assert.equal( u.toNumber(), 1-n )
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done()
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})
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})
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describe('high bit-low bit', function () {
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it('should return n', function (done) {
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var n = Math.pow(2, 17)
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var u = UINT64(n).subtract( UINT64(123) )
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assert.equal( u.toNumber(), n - 123 )
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done()
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})
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})
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describe('high bit-high bit', function () {
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it('should return n', function (done) {
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var n = Math.pow(2, 17)
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var u = UINT64(n+1).subtract( UINT64(n) )
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assert.equal( u.toNumber(), 1 )
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done()
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})
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})
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})
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