[6a3a178] | 1 | import { build } from ".";
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| 2 | import JsHistogram from "./JsHistogram";
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| 3 | import { NO_TAG } from "./Histogram";
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| 4 | import Int32Histogram from "./Int32Histogram";
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| 5 | import { initWebAssembly, WasmHistogram, initWebAssemblySync } from "./wasm";
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| 6 | import Int8Histogram from "./Int8Histogram";
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| 7 | import Histogram from "./Histogram";
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| 8 |
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| 9 | class HistogramForTests extends JsHistogram {
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| 10 | //constructor() {}
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| 11 |
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| 12 | clearCounts() {}
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| 13 |
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| 14 | incrementCountAtIndex(index: number): void {}
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| 15 |
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| 16 | incrementTotalCount(): void {}
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| 17 |
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| 18 | addToTotalCount(value: number) {}
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| 19 |
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| 20 | setTotalCount(totalCount: number) {}
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| 21 |
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| 22 | resize(newHighestTrackableValue: number): void {
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| 23 | this.establishSize(newHighestTrackableValue);
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| 24 | }
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| 25 |
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| 26 | addToCountAtIndex(index: number, value: number): void {}
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| 27 |
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| 28 | setCountAtIndex(index: number, value: number): void {}
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| 29 |
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| 30 | getTotalCount() {
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| 31 | return 0;
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| 32 | }
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| 33 |
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| 34 | getCountAtIndex(index: number): number {
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| 35 | return 0;
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| 36 | }
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| 37 |
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| 38 | protected _getEstimatedFootprintInBytes() {
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| 39 | return 42;
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| 40 | }
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| 41 |
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| 42 | copyCorrectedForCoordinatedOmission(
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| 43 | expectedIntervalBetweenValueSamples: number
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| 44 | ) {
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| 45 | return this;
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| 46 | }
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| 47 | }
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| 48 |
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| 49 | describe("Histogram initialization", () => {
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| 50 | let histogram: JsHistogram;
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| 51 | beforeEach(() => {
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| 52 | histogram = new HistogramForTests(1, Number.MAX_SAFE_INTEGER, 3);
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| 53 | });
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| 54 |
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| 55 | it("should set sub bucket size", () => {
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| 56 | expect(histogram.subBucketCount).toBe(2048);
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| 57 | });
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| 58 |
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| 59 | it("should set resize to false when max value specified", () => {
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| 60 | expect(histogram.autoResize).toBe(false);
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| 61 | });
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| 62 |
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| 63 | it("should compute counts array length", () => {
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| 64 | expect(histogram.countsArrayLength).toBe(45056);
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| 65 | });
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| 66 |
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| 67 | it("should compute bucket count", () => {
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| 68 | expect(histogram.bucketCount).toBe(43);
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| 69 | });
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| 70 |
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| 71 | it("should set min non zero value", () => {
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| 72 | expect(histogram.minNonZeroValue).toBe(Number.MAX_SAFE_INTEGER);
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| 73 | });
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| 74 |
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| 75 | it("should set max value", () => {
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| 76 | expect(histogram.maxValue).toBe(0);
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| 77 | });
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| 78 | });
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| 79 |
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| 80 | describe("Histogram recording values", () => {
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| 81 | it("should compute count index when value in first bucket", () => {
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| 82 | // given
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| 83 | const histogram = new HistogramForTests(1, Number.MAX_SAFE_INTEGER, 3);
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| 84 | // when
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| 85 | const index = histogram.countsArrayIndex(2000); // 2000 < 2048
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| 86 | expect(index).toBe(2000);
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| 87 | });
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| 88 |
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| 89 | it("should compute count index when value outside first bucket", () => {
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| 90 | // given
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| 91 | const histogram = new HistogramForTests(1, Number.MAX_SAFE_INTEGER, 3);
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| 92 | // when
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| 93 | const index = histogram.countsArrayIndex(2050); // 2050 > 2048
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| 94 | // then
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| 95 | expect(index).toBe(2049);
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| 96 | });
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| 97 |
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| 98 | it("should compute count index taking into account lowest discernible value", () => {
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| 99 | // given
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| 100 | const histogram = new HistogramForTests(2000, Number.MAX_SAFE_INTEGER, 2);
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| 101 | // when
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| 102 | const index = histogram.countsArrayIndex(16000);
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| 103 | // then
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| 104 | expect(index).toBe(15);
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| 105 | });
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| 106 |
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| 107 | it("should compute count index of a big value taking into account lowest discernible value", () => {
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| 108 | // given
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| 109 | const histogram = new HistogramForTests(2000, Number.MAX_SAFE_INTEGER, 2);
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| 110 | // when
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| 111 | const bigValue = Number.MAX_SAFE_INTEGER - 1;
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| 112 | const index = histogram.countsArrayIndex(bigValue);
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| 113 | // then
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| 114 | expect(index).toBe(4735);
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| 115 | });
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| 116 |
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| 117 | it("should update min non zero value", () => {
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| 118 | // given
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| 119 | const histogram = new HistogramForTests(1, Number.MAX_SAFE_INTEGER, 3);
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| 120 | // when
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| 121 | histogram.recordValue(123);
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| 122 | // then
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| 123 | expect(histogram.minNonZeroValue).toBe(123);
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| 124 | });
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| 125 |
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| 126 | it("should update max value", () => {
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| 127 | // given
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| 128 | const histogram = new HistogramForTests(1, Number.MAX_SAFE_INTEGER, 3);
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| 129 | // when
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| 130 | histogram.recordValue(123);
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| 131 | // then
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| 132 | expect(histogram.maxValue).toBe(123);
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| 133 | });
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| 134 |
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| 135 | it("should throw an error when value bigger than highest trackable value", () => {
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| 136 | // given
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| 137 | const histogram = new HistogramForTests(1, 4096, 3);
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| 138 | // when then
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| 139 | expect(() => histogram.recordValue(9000)).toThrowError();
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| 140 | });
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| 141 |
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| 142 | it("should not throw an error when autoresize enable and value bigger than highest trackable value", () => {
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| 143 | // given
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| 144 | const histogram = new HistogramForTests(1, 4096, 3);
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| 145 | histogram.autoResize = true;
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| 146 | // when then
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| 147 | expect(() => histogram.recordValue(9000)).not.toThrowError();
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| 148 | });
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| 149 |
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| 150 | it("should increase counts array size when recording value bigger than highest trackable value", () => {
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| 151 | // given
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| 152 | const histogram = new HistogramForTests(1, 4096, 3);
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| 153 | histogram.autoResize = true;
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| 154 | // when
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| 155 | histogram.recordValue(9000);
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| 156 | // then
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| 157 | expect(histogram.highestTrackableValue).toBeGreaterThan(9000);
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| 158 | });
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| 159 | });
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| 160 |
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| 161 | describe("Histogram computing statistics", () => {
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| 162 | const histogram = new Int32Histogram(1, Number.MAX_SAFE_INTEGER, 3);
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| 163 |
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| 164 | it("should compute mean value", () => {
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| 165 | // given
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| 166 | histogram.reset();
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| 167 | // when
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| 168 | histogram.recordValue(25);
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| 169 | histogram.recordValue(50);
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| 170 | histogram.recordValue(75);
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| 171 | // then
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| 172 | expect(histogram.mean).toBe(50);
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| 173 | });
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| 174 |
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| 175 | it("should compute standard deviation", () => {
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| 176 | // given
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| 177 | histogram.reset();
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| 178 | // when
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| 179 | histogram.recordValue(25);
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| 180 | histogram.recordValue(50);
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| 181 | histogram.recordValue(75);
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| 182 | // then
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| 183 | expect(histogram.stdDeviation).toBeGreaterThan(20.4124);
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| 184 | expect(histogram.stdDeviation).toBeLessThan(20.4125);
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| 185 | });
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| 186 |
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| 187 | it("should compute percentile distribution", () => {
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| 188 | // given
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| 189 | histogram.reset();
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| 190 | // when
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| 191 | histogram.recordValue(25);
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| 192 | histogram.recordValue(50);
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| 193 | histogram.recordValue(75);
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| 194 | // then
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| 195 | const expectedResult = ` Value Percentile TotalCount 1/(1-Percentile)
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| 196 |
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| 197 | 25.000 0.000000000000 1 1.00
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| 198 | 25.000 0.100000000000 1 1.11
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| 199 | 25.000 0.200000000000 1 1.25
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| 200 | 25.000 0.300000000000 1 1.43
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| 201 | 50.000 0.400000000000 2 1.67
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| 202 | 50.000 0.500000000000 2 2.00
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| 203 | 50.000 0.550000000000 2 2.22
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| 204 | 50.000 0.600000000000 2 2.50
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| 205 | 50.000 0.650000000000 2 2.86
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| 206 | 75.000 0.700000000000 3 3.33
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| 207 | 75.000 1.000000000000 3
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| 208 | #[Mean = 50.000, StdDeviation = 20.412]
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| 209 | #[Max = 75.000, Total count = 3]
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| 210 | #[Buckets = 43, SubBuckets = 2048]
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| 211 | `;
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| 212 | expect(histogram.outputPercentileDistribution()).toBe(expectedResult);
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| 213 | });
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| 214 |
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| 215 | it("should compute percentile distribution in csv format", () => {
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| 216 | // given
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| 217 | histogram.reset();
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| 218 | // when
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| 219 | histogram.recordValue(25);
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| 220 | histogram.recordValue(50);
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| 221 | histogram.recordValue(75);
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| 222 | // then
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| 223 | const expectedResult = `"Value","Percentile","TotalCount","1/(1-Percentile)"
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| 224 | 25.000,0.000000000000,1,1.00
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| 225 | 25.000,0.100000000000,1,1.11
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| 226 | 25.000,0.200000000000,1,1.25
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| 227 | 25.000,0.300000000000,1,1.43
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| 228 | 50.000,0.400000000000,2,1.67
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| 229 | 50.000,0.500000000000,2,2.00
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| 230 | 50.000,0.550000000000,2,2.22
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| 231 | 50.000,0.600000000000,2,2.50
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| 232 | 50.000,0.650000000000,2,2.86
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| 233 | 75.000,0.700000000000,3,3.33
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| 234 | 75.000,1.000000000000,3,Infinity
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| 235 | `;
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| 236 | expect(
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| 237 | histogram.outputPercentileDistribution(undefined, undefined, true)
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| 238 | ).toBe(expectedResult);
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| 239 | });
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| 240 |
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| 241 | it("should compute percentile distribution in JSON format with rounding according to number of significant digits", () => {
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| 242 | // given
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| 243 | histogram.reset();
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| 244 | // when
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| 245 | histogram.recordValue(25042);
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| 246 | histogram.recordValue(50042);
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| 247 | histogram.recordValue(75042);
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| 248 | // then
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| 249 | const { summary } = histogram;
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| 250 | expect(summary.p50).toEqual(50000);
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| 251 | });
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| 252 | });
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| 253 |
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| 254 | describe("Histogram correcting coordinated omissions", () => {
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| 255 | const histogram = new Int32Histogram(1, Number.MAX_SAFE_INTEGER, 3);
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| 256 |
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| 257 | it("should generate additional values when recording", () => {
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| 258 | // given
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| 259 | histogram.reset();
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| 260 | // when
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| 261 | histogram.recordValueWithExpectedInterval(207, 100);
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| 262 | // then
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| 263 | expect(histogram.totalCount).toBe(2);
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| 264 | expect(histogram.minNonZeroValue).toBe(107);
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| 265 | expect(histogram.maxValue).toBe(207);
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| 266 | });
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| 267 |
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| 268 | it("should generate additional values when correcting after recording", () => {
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| 269 | // given
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| 270 | histogram.reset();
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| 271 | histogram.recordValue(207);
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| 272 | histogram.recordValue(207);
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| 273 | // when
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| 274 | const correctedHistogram = histogram.copyCorrectedForCoordinatedOmission(
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| 275 | 100
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| 276 | );
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| 277 | // then
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| 278 | expect(correctedHistogram.totalCount).toBe(4);
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| 279 | expect(correctedHistogram.minNonZeroValue).toBe(107);
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| 280 | expect(correctedHistogram.maxValue).toBe(207);
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| 281 | });
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| 282 |
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| 283 | it("should not generate additional values when correcting after recording", () => {
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| 284 | // given
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| 285 | histogram.reset();
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| 286 | histogram.recordValue(207);
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| 287 | histogram.recordValue(207);
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| 288 | // when
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| 289 | const correctedHistogram = histogram.copyCorrectedForCoordinatedOmission(
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| 290 | 1000
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| 291 | );
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| 292 | // then
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| 293 | expect(correctedHistogram.totalCount).toBe(2);
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| 294 | expect(correctedHistogram.minNonZeroValue).toBe(207);
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| 295 | expect(correctedHistogram.maxValue).toBe(207);
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| 296 | });
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| 297 | });
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| 298 |
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| 299 | describe("WASM Histogram not initialized", () => {
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| 300 | it("should throw a clear error message", () => {
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| 301 | expect(() => build({ useWebAssembly: true })).toThrow(
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| 302 | "WebAssembly is not ready yet"
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| 303 | );
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| 304 | expect(() => WasmHistogram.build()).toThrow("WebAssembly is not ready yet");
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| 305 | expect(() => WasmHistogram.decode(null as any)).toThrow(
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| 306 | "WebAssembly is not ready yet"
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| 307 | );
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| 308 | });
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| 309 | });
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| 310 |
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| 311 | describe("WASM Histogram not happy path", () => {
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| 312 | beforeEach(initWebAssemblySync);
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| 313 | it("should throw a clear error message when used after destroy", () => {
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| 314 | const destroyedHistogram = build({ useWebAssembly: true });
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| 315 | destroyedHistogram.destroy();
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| 316 | expect(() => destroyedHistogram.recordValue(42)).toThrow(
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| 317 | "Cannot use a destroyed histogram"
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| 318 | );
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| 319 | });
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| 320 | it("should not crash when displayed after destroy", () => {
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| 321 | const destroyedHistogram = build({ useWebAssembly: true });
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| 322 | destroyedHistogram.destroy();
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| 323 | expect(destroyedHistogram + "").toEqual("Destroyed WASM histogram");
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| 324 | });
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| 325 | it("should throw a clear error message when added to a JS regular Histogram", () => {
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| 326 | const wasmHistogram = build({ useWebAssembly: true });
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| 327 | const jsHistogram = build({ useWebAssembly: false });
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| 328 | expect(() => jsHistogram.add(wasmHistogram)).toThrow(
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| 329 | "Cannot add a WASM histogram to a regular JS histogram"
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| 330 | );
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| 331 | });
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| 332 | it("should throw a clear error message when trying to add a JS regular Histogram", () => {
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| 333 | const wasmHistogram = build({ useWebAssembly: true });
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| 334 | const jsHistogram = build({ useWebAssembly: false });
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| 335 | expect(() => wasmHistogram.add(jsHistogram)).toThrow(
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| 336 | "Cannot add a regular JS histogram to a WASM histogram"
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| 337 | );
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| 338 | });
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| 339 |
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| 340 | it("should throw a clear error message when substracted to a JS regular Histogram", () => {
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| 341 | const wasmHistogram = build({ useWebAssembly: true });
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| 342 | const jsHistogram = build({ useWebAssembly: false });
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| 343 | expect(() => jsHistogram.subtract(wasmHistogram)).toThrow(
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| 344 | "Cannot subtract a WASM histogram to a regular JS histogram"
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| 345 | );
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| 346 | });
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| 347 | it("should throw a clear error message when trying to add a JS regular Histogram", () => {
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| 348 | const wasmHistogram = build({ useWebAssembly: true });
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| 349 | const jsHistogram = build({ useWebAssembly: false });
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| 350 | expect(() => wasmHistogram.subtract(jsHistogram)).toThrow(
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| 351 | "Cannot subtract a regular JS histogram to a WASM histogram"
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| 352 | );
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| 353 | });
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| 354 | });
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| 355 |
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| 356 | describe("WASM estimated memory footprint", () => {
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| 357 | let wasmHistogram: Histogram;
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| 358 | beforeAll(initWebAssembly);
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| 359 | afterEach(() => wasmHistogram.destroy());
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| 360 |
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| 361 | it("should be a little bit more than js footprint for packed histograms", () => {
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| 362 | wasmHistogram = build({ useWebAssembly: true, bitBucketSize: "packed" });
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| 363 | expect(wasmHistogram.estimatedFootprintInBytes).toBeGreaterThan(
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| 364 | build({ bitBucketSize: "packed" }).estimatedFootprintInBytes
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| 365 | );
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| 366 | });
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| 367 | });
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| 368 |
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| 369 | describe("WASM Histogram correcting coordinated omissions", () => {
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| 370 | let histogram: Histogram;
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| 371 |
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| 372 | beforeAll(initWebAssembly);
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| 373 | beforeEach(() => {
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| 374 | histogram = build({ useWebAssembly: true });
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| 375 | });
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| 376 | afterEach(() => histogram.destroy());
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| 377 |
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| 378 | it("should generate additional values when recording", () => {
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| 379 | // given
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| 380 | histogram.reset();
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| 381 | // when
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| 382 | histogram.recordValueWithExpectedInterval(207, 100);
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| 383 | // then
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| 384 | expect(histogram.totalCount).toBe(2);
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| 385 | expect(histogram.minNonZeroValue).toBe(107);
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| 386 | expect(histogram.maxValue).toBe(207);
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| 387 | });
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| 388 |
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| 389 | it("should generate additional values when correcting after recording", () => {
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| 390 | // given
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| 391 | histogram.reset();
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| 392 | histogram.recordValue(207);
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| 393 | histogram.recordValue(207);
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| 394 | // when
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| 395 | const correctedHistogram = histogram.copyCorrectedForCoordinatedOmission(
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| 396 | 100
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| 397 | );
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| 398 | // then
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| 399 | expect(correctedHistogram.totalCount).toBe(4);
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| 400 | expect(correctedHistogram.minNonZeroValue).toBe(107);
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| 401 | expect(correctedHistogram.maxValue).toBe(207);
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| 402 | });
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| 403 |
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| 404 | it("should not generate additional values when correcting after recording", () => {
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| 405 | // given
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| 406 | histogram.reset();
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| 407 | histogram.recordValue(207);
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| 408 | histogram.recordValue(207);
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| 409 | // when
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| 410 | const correctedHistogram = histogram.copyCorrectedForCoordinatedOmission(
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| 411 | 1000
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| 412 | );
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| 413 | // then
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| 414 | expect(correctedHistogram.totalCount).toBe(2);
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| 415 | expect(correctedHistogram.minNonZeroValue).toBe(207);
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| 416 | expect(correctedHistogram.maxValue).toBe(207);
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| 417 | });
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| 418 | });
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| 419 |
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| 420 | describe("Histogram add & substract", () => {
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| 421 | beforeAll(initWebAssembly);
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| 422 |
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| 423 | it("should add histograms of same size", () => {
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| 424 | // given
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| 425 | const histogram = new Int32Histogram(1, Number.MAX_SAFE_INTEGER, 2);
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| 426 | const histogram2 = new Int32Histogram(1, Number.MAX_SAFE_INTEGER, 2);
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| 427 | histogram.recordValue(42);
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| 428 | histogram2.recordValue(158);
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| 429 | // when
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| 430 | histogram.add(histogram2);
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| 431 | // then
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| 432 | expect(histogram.totalCount).toBe(2);
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| 433 | expect(histogram.mean).toBe(100);
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| 434 | });
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| 435 |
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| 436 | it("should add histograms of different sizes & precisions", () => {
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| 437 | // given
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| 438 | const histogram = build({
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| 439 | lowestDiscernibleValue: 1,
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| 440 | highestTrackableValue: 1024,
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| 441 | autoResize: true,
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| 442 | numberOfSignificantValueDigits: 2,
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| 443 | bitBucketSize: "packed",
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| 444 | useWebAssembly: true,
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| 445 | });
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| 446 | const histogram2 = build({
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| 447 | lowestDiscernibleValue: 1,
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| 448 | highestTrackableValue: 1024,
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| 449 | autoResize: true,
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| 450 | numberOfSignificantValueDigits: 3,
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| 451 | bitBucketSize: 32,
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| 452 | useWebAssembly: true,
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| 453 | });
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| 454 | //histogram2.autoResize = true;
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| 455 | histogram.recordValue(42000);
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| 456 | histogram2.recordValue(1000);
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| 457 | // when
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| 458 | histogram.add(histogram2);
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| 459 | // then
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| 460 | expect(histogram.totalCount).toBe(2);
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| 461 | expect(Math.floor(histogram.mean / 100)).toBe(215);
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| 462 | });
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| 463 |
|
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| 464 | it("should add histograms of different sizes", () => {
|
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| 465 | // given
|
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| 466 | const histogram = new Int32Histogram(1, Number.MAX_SAFE_INTEGER, 2);
|
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| 467 | const histogram2 = new Int32Histogram(1, 1024, 2);
|
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| 468 | histogram2.autoResize = true;
|
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| 469 | histogram.recordValue(42000);
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| 470 | histogram2.recordValue(1000);
|
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| 471 | // when
|
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| 472 | histogram.add(histogram2);
|
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| 473 | // then
|
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| 474 | expect(histogram.totalCount).toBe(2);
|
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| 475 | expect(Math.floor(histogram.mean / 100)).toBe(215);
|
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| 476 | });
|
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| 477 |
|
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| 478 | it("should be equal when another histogram of lower precision is added then subtracted", () => {
|
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| 479 | // given
|
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| 480 | const histogram = build({ numberOfSignificantValueDigits: 5 });
|
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| 481 | const histogram2 = build({ numberOfSignificantValueDigits: 3 });
|
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| 482 | histogram.recordValue(100);
|
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| 483 | histogram2.recordValue(42000);
|
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| 484 | // when
|
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| 485 | const before = histogram.summary;
|
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| 486 | histogram.add(histogram2);
|
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| 487 | histogram.subtract(histogram2);
|
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| 488 | // then
|
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| 489 | expect(histogram.summary).toStrictEqual(before);
|
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| 490 | });
|
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| 491 |
|
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| 492 | it("should update percentiles when another histogram of same characteristics is substracted", () => {
|
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| 493 | // given
|
---|
| 494 | const histogram = build({ numberOfSignificantValueDigits: 3 });
|
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| 495 | const histogram2 = build({ numberOfSignificantValueDigits: 3 });
|
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| 496 | histogram.recordValueWithCount(100, 2);
|
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| 497 | histogram2.recordValueWithCount(100, 1);
|
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| 498 | histogram.recordValueWithCount(200, 2);
|
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| 499 | histogram2.recordValueWithCount(200, 1);
|
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| 500 | histogram.recordValueWithCount(300, 2);
|
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| 501 | histogram2.recordValueWithCount(300, 1);
|
---|
| 502 | // when
|
---|
| 503 | histogram.subtract(histogram2);
|
---|
| 504 | // then
|
---|
| 505 | expect(histogram.getValueAtPercentile(50)).toBe(200);
|
---|
| 506 | });
|
---|
| 507 | });
|
---|
| 508 |
|
---|
| 509 | describe("Histogram clearing support", () => {
|
---|
| 510 | beforeAll(initWebAssembly);
|
---|
| 511 |
|
---|
| 512 | it("should reset data in order to reuse histogram", () => {
|
---|
| 513 | // given
|
---|
| 514 | const histogram = build({
|
---|
| 515 | lowestDiscernibleValue: 1,
|
---|
| 516 | highestTrackableValue: Number.MAX_SAFE_INTEGER,
|
---|
| 517 | numberOfSignificantValueDigits: 5,
|
---|
| 518 | useWebAssembly: true,
|
---|
| 519 | });
|
---|
| 520 | histogram.startTimeStampMsec = 42;
|
---|
| 521 | histogram.endTimeStampMsec = 56;
|
---|
| 522 | histogram.tag = "blabla";
|
---|
| 523 | histogram.recordValue(1000);
|
---|
| 524 | // when
|
---|
| 525 | histogram.reset();
|
---|
| 526 | // then
|
---|
| 527 | expect(histogram.totalCount).toBe(0);
|
---|
| 528 | expect(histogram.startTimeStampMsec).toBe(0);
|
---|
| 529 | expect(histogram.endTimeStampMsec).toBe(0);
|
---|
| 530 | expect(histogram.tag).toBe(NO_TAG);
|
---|
| 531 | expect(histogram.maxValue).toBe(0);
|
---|
| 532 | expect(histogram.minNonZeroValue).toBeGreaterThan(Number.MAX_SAFE_INTEGER);
|
---|
| 533 | expect(histogram.getValueAtPercentile(99.999)).toBe(0);
|
---|
| 534 | });
|
---|
| 535 |
|
---|
| 536 | it("should behave as new when reseted", () => {
|
---|
| 537 | // given
|
---|
| 538 | const histogram = build({
|
---|
| 539 | lowestDiscernibleValue: 1,
|
---|
| 540 | highestTrackableValue: 15000,
|
---|
| 541 | numberOfSignificantValueDigits: 2,
|
---|
| 542 | });
|
---|
| 543 | const histogram2 = build({
|
---|
| 544 | lowestDiscernibleValue: 1,
|
---|
| 545 | highestTrackableValue: 15000,
|
---|
| 546 | numberOfSignificantValueDigits: 2,
|
---|
| 547 | });
|
---|
| 548 | histogram.recordValue(1);
|
---|
| 549 | histogram.recordValue(100);
|
---|
| 550 | histogram.recordValue(2000);
|
---|
| 551 | histogram.reset();
|
---|
| 552 | // when
|
---|
| 553 | histogram.recordValue(1000);
|
---|
| 554 | histogram2.recordValue(1000);
|
---|
| 555 |
|
---|
| 556 | // then
|
---|
| 557 | expect(histogram.mean).toBe(histogram2.mean);
|
---|
| 558 | });
|
---|
| 559 | });
|
---|