denet-node-server/node_modules/@pm2/io/build/main/utils/EDS.js

"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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