FM / utils

/usr/local/lib/node_modules/pm2/node_modules/@pm2/io/build/main/utils/

/usr/local/lib/node_modules/pm2/node_modules/@pm2/io/build/main/utils

Name	Size	Mode	Actions
metrics/	-	0755	rm
autocast.d.ts	314	0644	edit dl rm
autocast.js	3152	0644	edit dl rm
BinaryHeap.d.ts	423	0644	edit dl rm
BinaryHeap.js	7948	0644	edit dl rm
EDS.d.ts	549	0644	edit dl rm
EDS.js	6839	0644	edit dl rm
EWMA.d.ts	336	0644	edit dl rm
EWMA.js	2118	0644	edit dl rm
miscellaneous.d.ts	144	0644	edit dl rm
miscellaneous.js	1534	0644	edit dl rm
module.d.ts	203	0644	edit dl rm
module.js	4077	0644	edit dl rm
stackParser.d.ts	931	0644	edit dl rm
stackParser.js	10718	0644	edit dl rm
transactionAggregator.d.ts	1794	0644	edit dl rm
transactionAggregator.js	30902	0644	edit dl rm
units.d.ts	210	0644	edit dl rm
units.js	1096	0644	edit dl rm

Edit: /usr/local/lib/node_modules/pm2/node_modules/@pm2/io/build/main/utils/EDS.js (6839B)

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
const BinaryHeap_1 = require("./BinaryHeap");
const units_1 = require("./units");
class ExponentiallyDecayingSample {
    constructor(options) {
        this.RESCALE_INTERVAL = 1 * units_1.default.HOURS;
        this.ALPHA = 0.015;
        this.SIZE = 1028;
        options = options || {};
        this._elements = new BinaryHeap_1.default({
            score: function (element) {
                return -element.priority;
            }
        });
        this._rescaleInterval = options.rescaleInterval || this.RESCALE_INTERVAL;
        this._alpha = options.alpha || this.ALPHA;
        this._size = options.size || this.SIZE;
        this._random = options.random || this._random;
        this._landmark = null;
        this._nextRescale = null;
        this._mean = null;
    }
    update(value, timestamp) {
        const now = Date.now();
        if (!this._landmark) {
            this._landmark = now;
            this._nextRescale = this._landmark + this._rescaleInterval;
        }
        timestamp = timestamp || now;
        const newSize = this._elements.size() + 1;
        const element = {
            priority: this._priority(timestamp - this._landmark),
            value: value
        };
        if (newSize <= this._size) {
            this._elements.add(element);
        }
        else if (element.priority > this._elements.first().priority) {
            this._elements.removeFirst();
            this._elements.add(element);
        }
        if (now >= this._nextRescale)
            this._rescale(now);
    }
    toSortedArray() {
        return this._elements
            .toSortedArray()
            .map(function (element) {
            return element.value;
        });
    }
    toArray() {
        return this._elements
            .toArray()
            .map(function (element) {
            return element.value;
        });
    }
    _weight(age) {
        return Math.exp(this._alpha * (age / 1000));
    }
    _priority(age) {
        return this._weight(age) / this._random();
    }
    _random() {
        return Math.random();
    }
    _rescale(now) {
        now = now || Date.now();
        const self = this;
        const oldLandmark = this._landmark;
        this._landmark = now || Date.now();
        this._nextRescale = now + this._rescaleInterval;
        const factor = self._priority(-(self._landmark - oldLandmark));
        this._elements
            .toArray()
            .forEach(function (element) {
            element.priority *= factor;
        });
    }
    avg(now) {
        let sum = 0;
        this._elements
            .toArray()
            .forEach(function (element) {
            sum += element.value;
        });
        return (sum / this._elements.size());
    }
}
exports.default = ExponentiallyDecayingSample;
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