NET-Web-API-w-Angular/my-app/node_modules/hdr-histogram-js/dist/PackedHistogram.js

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4.2 KiB
JavaScript
Executable file

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
/*
* This is a TypeScript port of the original Java version, which was written by
* Gil Tene as described in
* https://github.com/HdrHistogram/HdrHistogram
* and released to the public domain, as explained at
* http://creativecommons.org/publicdomain/zero/1.0/
*/
const JsHistogram_1 = require("./JsHistogram");
const PackedArray_1 = require("./packedarray/PackedArray");
/**
* <h3>A High Dynamic Range (HDR) Histogram that uses a packed internal representation</h3>
* <p>
* {@link PackedHistogram} supports the recording and analyzing sampled data value counts across a configurable
* integer value range with configurable value precision within the range. Value precision is expressed as the
* number of significant digits in the value recording, and provides control over value quantization behavior
* across the value range and the subsequent value resolution at any given level.
* <p>
* {@link PackedHistogram} tracks value counts in a packed internal representation optimized
* for typical histogram recoded values are sparse in the value range and tend to be incremented in small unit counts.
* This packed representation tends to require significantly smaller amounts of stoarge when compared to unpacked
* representations, but can incur additional recording cost due to resizing and repacking operations that may
* occur as previously unrecorded values are encountered.
* <p>
* For example, a {@link PackedHistogram} could be configured to track the counts of observed integer values between 0 and
* 3,600,000,000,000 while maintaining a value precision of 3 significant digits across that range. Value quantization
* within the range will thus be no larger than 1/1,000th (or 0.1%) of any value. This example Histogram could
* be used to track and analyze the counts of observed response times ranging between 1 nanosecond and 1 hour
* in magnitude, while maintaining a value resolution of 1 microsecond up to 1 millisecond, a resolution of
* 1 millisecond (or better) up to one second, and a resolution of 1 second (or better) up to 1,000 seconds. At its
* maximum tracked value (1 hour), it would still maintain a resolution of 3.6 seconds (or better).
* <p>
* Auto-resizing: When constructed with no specified value range range (or when auto-resize is turned on with {@link
* Histogram#setAutoResize}) a {@link PackedHistogram} will auto-resize its dynamic range to include recorded values as
* they are encountered. Note that recording calls that cause auto-resizing may take longer to execute, as resizing
* incurs allocation and copying of internal data structures.
* <p>
*/
class PackedHistogram extends JsHistogram_1.default {
constructor(lowestDiscernibleValue, highestTrackableValue, numberOfSignificantValueDigits) {
super(lowestDiscernibleValue, highestTrackableValue, numberOfSignificantValueDigits);
this._totalCount = 0;
this.packedCounts = new PackedArray_1.PackedArray(this.countsArrayLength);
}
clearCounts() {
this.packedCounts.clear();
}
incrementCountAtIndex(index) {
this.packedCounts.increment(index);
}
addToCountAtIndex(index, value) {
this.packedCounts.add(index, value);
}
setCountAtIndex(index, value) {
this.packedCounts.set(index, value);
}
resize(newHighestTrackableValue) {
this.establishSize(newHighestTrackableValue);
this.packedCounts.setVirtualLength(this.countsArrayLength);
}
getCountAtIndex(index) {
return this.packedCounts.get(index);
}
_getEstimatedFootprintInBytes() {
return 192 + 8 * this.packedCounts.getPhysicalLength();
}
copyCorrectedForCoordinatedOmission(expectedIntervalBetweenValueSamples) {
const copy = new PackedHistogram(this.lowestDiscernibleValue, this.highestTrackableValue, this.numberOfSignificantValueDigits);
copy.addWhileCorrectingForCoordinatedOmission(this, expectedIntervalBetweenValueSamples);
return copy;
}
toString() {
return `PackedHistogram ${JSON.stringify(this, null, 2)}`;
}
}
exports.default = PackedHistogram;
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