X-Git-Url: https://git.piment-noir.org/?a=blobdiff_plain;f=src%2Futils%2FUtils.ts;h=83c1e3f7490a4dd9fff5976c2367a5eb548e7dfa;hb=361c98f57255e5b91d123d5f2ba43ab533134b1a;hp=2724f03f4c3aca4b4a0ad2994082ba51f5609726;hpb=bd5d98e0cb5cfb943ad6ac76ba9382cb0bb1f50c;p=e-mobility-charging-stations-simulator.git

diff --git a/src/utils/Utils.ts b/src/utils/Utils.ts
index 2724f03f..83c1e3f7 100644
--- a/src/utils/Utils.ts
+++ b/src/utils/Utils.ts
@@ -3,7 +3,6 @@ import util from 'node:util';
 
 import clone from 'just-clone';
 
-// import { Constants } from './internal';
 import { Constants } from './Constants';
 import { WebSocketCloseEventStatusString } from '../types';
 
@@ -141,14 +140,17 @@ export class Utils {
     return Math.floor(crypto.randomInt(max + 1));
   }
 
+  /**
+   * Rounds the given number to the given scale.
+   * The rounding is done using the "round half away from zero" method.
+   *
+   * @param numberValue - The number to round.
+   * @param scale - The scale to round to.
+   * @returns The rounded number.
+   */
   public static roundTo(numberValue: number, scale: number): number {
     const roundPower = Math.pow(10, scale);
-    return Math.round(numberValue * roundPower) / roundPower;
-  }
-
-  public static truncTo(numberValue: number, scale: number): number {
-    const truncPower = Math.pow(10, scale);
-    return Math.trunc(numberValue * truncPower) / truncPower;
+    return Math.round(numberValue * roundPower * (1 + Number.EPSILON)) / roundPower;
   }
 
   public static getRandomFloatRounded(max = Number.MAX_VALUE, min = 0, scale = 2): number {
@@ -246,6 +248,8 @@ export class Utils {
     `${str.slice(0, pos)}${subStr}${str.slice(pos)}`;
 
   /**
+   * Computes the retry delay in milliseconds using an exponential backoff algorithm.
+   *
    * @param retryNumber - the number of retries that have already been attempted
    * @returns delay in milliseconds
    */
@@ -283,7 +287,7 @@ export class Utils {
   }
 
   /**
-   * Generate a cryptographically secure random number in the [0,1[ range
+   * Generates a cryptographically secure random number in the [0,1[ range
    *
    * @returns
    */
@@ -311,7 +315,7 @@ export class Utils {
   }
 
   /**
-   * Convert websocket error code to human readable string message
+   * Converts websocket error code to human readable string message
    *
    * @param code - websocket error code
    * @returns human readable string message
@@ -335,59 +339,4 @@ export class Utils {
     }
     return '(Unknown)';
   }
-
-  public static median(dataSet: number[]): number {
-    if (Utils.isEmptyArray(dataSet)) {
-      return 0;
-    }
-    if (Array.isArray(dataSet) === true && dataSet.length === 1) {
-      return dataSet[0];
-    }
-    const sortedDataSet = dataSet.slice().sort((a, b) => a - b);
-    return (
-      (sortedDataSet[(sortedDataSet.length - 1) >> 1] + sortedDataSet[sortedDataSet.length >> 1]) /
-      2
-    );
-  }
-
-  // TODO: use order statistics tree https://en.wikipedia.org/wiki/Order_statistic_tree
-  public static percentile(dataSet: number[], percentile: number): number {
-    if (percentile < 0 && percentile > 100) {
-      throw new RangeError('Percentile is not between 0 and 100');
-    }
-    if (Utils.isEmptyArray(dataSet)) {
-      return 0;
-    }
-    const sortedDataSet = dataSet.slice().sort((a, b) => a - b);
-    if (percentile === 0 || sortedDataSet.length === 1) {
-      return sortedDataSet[0];
-    }
-    if (percentile === 100) {
-      return sortedDataSet[sortedDataSet.length - 1];
-    }
-    const percentileIndexBase = (percentile / 100) * (sortedDataSet.length - 1);
-    const percentileIndexInteger = Math.floor(percentileIndexBase);
-    if (!Utils.isNullOrUndefined(sortedDataSet[percentileIndexInteger + 1])) {
-      return (
-        sortedDataSet[percentileIndexInteger] +
-        (percentileIndexBase - percentileIndexInteger) *
-          (sortedDataSet[percentileIndexInteger + 1] - sortedDataSet[percentileIndexInteger])
-      );
-    }
-    return sortedDataSet[percentileIndexInteger];
-  }
-
-  public static stdDeviation(dataSet: number[]): number {
-    let totalDataSet = 0;
-    for (const data of dataSet) {
-      totalDataSet += data;
-    }
-    const dataSetMean = totalDataSet / dataSet.length;
-    let totalGeometricDeviation = 0;
-    for (const data of dataSet) {
-      const deviation = data - dataSetMean;
-      totalGeometricDeviation += deviation * deviation;
-    }
-    return Math.sqrt(totalGeometricDeviation / dataSet.length);
-  }
 }