| 1 | import { expect } from 'expect' |
| 2 | import { |
| 3 | CircularArray, |
| 4 | DEFAULT_CIRCULAR_ARRAY_SIZE |
| 5 | } from '../../lib/circular-array.js' |
| 6 | import { updateMeasurementStatistics } from '../../lib/pools/utils.js' |
| 7 | |
| 8 | describe('Pool utils test suite', () => { |
| 9 | it('Verify updateMeasurementStatistics() behavior', () => { |
| 10 | const measurementStatistics = { |
| 11 | history: new CircularArray() |
| 12 | } |
| 13 | updateMeasurementStatistics( |
| 14 | measurementStatistics, |
| 15 | { aggregate: true, average: false, median: false }, |
| 16 | 0.01 |
| 17 | ) |
| 18 | expect(measurementStatistics).toStrictEqual({ |
| 19 | aggregate: 0.01, |
| 20 | maximum: 0.01, |
| 21 | minimum: 0.01, |
| 22 | history: new CircularArray() |
| 23 | }) |
| 24 | updateMeasurementStatistics( |
| 25 | measurementStatistics, |
| 26 | { aggregate: true, average: false, median: false }, |
| 27 | 0.02 |
| 28 | ) |
| 29 | expect(measurementStatistics).toStrictEqual({ |
| 30 | aggregate: 0.03, |
| 31 | maximum: 0.02, |
| 32 | minimum: 0.01, |
| 33 | history: new CircularArray() |
| 34 | }) |
| 35 | updateMeasurementStatistics( |
| 36 | measurementStatistics, |
| 37 | { aggregate: true, average: true, median: false }, |
| 38 | 0.001 |
| 39 | ) |
| 40 | expect(measurementStatistics).toStrictEqual({ |
| 41 | aggregate: 0.031, |
| 42 | maximum: 0.02, |
| 43 | minimum: 0.001, |
| 44 | average: 0.001, |
| 45 | history: new CircularArray(DEFAULT_CIRCULAR_ARRAY_SIZE, 0.001) |
| 46 | }) |
| 47 | updateMeasurementStatistics( |
| 48 | measurementStatistics, |
| 49 | { aggregate: true, average: true, median: false }, |
| 50 | 0.003 |
| 51 | ) |
| 52 | expect(measurementStatistics).toStrictEqual({ |
| 53 | aggregate: 0.034, |
| 54 | maximum: 0.02, |
| 55 | minimum: 0.001, |
| 56 | average: 0.002, |
| 57 | history: new CircularArray(DEFAULT_CIRCULAR_ARRAY_SIZE, 0.001, 0.003) |
| 58 | }) |
| 59 | updateMeasurementStatistics( |
| 60 | measurementStatistics, |
| 61 | { aggregate: true, average: false, median: true }, |
| 62 | 0.006 |
| 63 | ) |
| 64 | expect(measurementStatistics).toStrictEqual({ |
| 65 | aggregate: 0.04, |
| 66 | maximum: 0.02, |
| 67 | minimum: 0.001, |
| 68 | median: 0.003, |
| 69 | history: new CircularArray( |
| 70 | DEFAULT_CIRCULAR_ARRAY_SIZE, |
| 71 | 0.001, |
| 72 | 0.003, |
| 73 | 0.006 |
| 74 | ) |
| 75 | }) |
| 76 | updateMeasurementStatistics( |
| 77 | measurementStatistics, |
| 78 | { aggregate: true, average: true, median: false }, |
| 79 | 0.01 |
| 80 | ) |
| 81 | expect(measurementStatistics).toStrictEqual({ |
| 82 | aggregate: 0.05, |
| 83 | maximum: 0.02, |
| 84 | minimum: 0.001, |
| 85 | average: 0.005, |
| 86 | history: new CircularArray( |
| 87 | DEFAULT_CIRCULAR_ARRAY_SIZE, |
| 88 | 0.001, |
| 89 | 0.003, |
| 90 | 0.006, |
| 91 | 0.01 |
| 92 | ) |
| 93 | }) |
| 94 | }) |
| 95 | }) |