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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							51 lines
						
					
					
						
							855 B
						
					
					
				
			
		
		
	
	
							51 lines
						
					
					
						
							855 B
						
					
					
				| var assert = require('assert')
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| var UINT32 = require('..').UINT32
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| 
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| describe('negate method', function () {
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| 
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|   describe('0', function () {
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| 
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|     it('should return 0', function (done) {
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|       var u = UINT32(0).negate()
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| 
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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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|   })
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| 
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|   describe('1', function () {
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| 
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|     it('should return -1', function (done) {
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|       var u = UINT32(1).negate()
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| 
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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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| 
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|   describe('low bit', function () {
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| 
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|     it('should return -n', function (done) {
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|       var u = UINT32(3).negate()
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| 
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|       assert.equal( u.toNumber(), -3 )
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|       done()
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|     })
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| 
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|   })
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| 
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|   describe('high bit', function () {
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| 
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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 = UINT32(n).negate()
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| 
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|       assert.equal( u.toNumber(), -n )
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|       done()
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|     })
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| 
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|   })
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| 
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| })
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