nlptoolkit-math - npm Package Compare versions

Comparing version 1.0.0 to 1.0.1

dist/Matrix.d.ts

 import { Vector } from "./Vector";
 import { Eigenvector } from "./Eigenvector";
+import { Random } from "nlptoolkit-util/dist/Random";
 export declare class Matrix {
@@ -7,3 +8,3 @@ private readonly row;
     private values;
-    constructor(row: any, col?: any, minValue?: any, maxValue?: any);
+    constructor(row: any, col?: any, minValue?: any, maxValue?: any, random?: Random);
     initZeros(): void;
@@ -10,0 +11,0 @@ /**

dist/Matrix.js

@@ -16,3 +16,3 @@ (function (factory) {
     class Matrix {
-        constructor(row, col = undefined, minValue = undefined, maxValue = undefined) {
+        constructor(row, col, minValue, maxValue, random) {
             if (typeof row == 'number') {
@@ -37,3 +37,8 @@ this.row = row;
                                 for (let j = 0; j < this.col; j++) {
-                                    this.values[i].push(minValue + (maxValue - minValue) * Math.random());
+                                    if (random != undefined) {
+                                        this.values[i].push(random.nextDouble(minValue, maxValue));
+                                    }
+                                    else {
+                                        this.values[i].push(minValue + (maxValue - minValue) * Math.random());
+                                    }
                                 }
@@ -40,0 +45,0 @@ }

package.json

 {
   "name": "nlptoolkit-math",
-  "version": "1.0.0",
+  "version": "1.0.1",
   "description": "Math library",
@@ -23,2 +23,3 @@ "main": "index.js",
     "mocha": "^9.1.3",
+    "nlptoolkit-util": "^1.0.3",
     "ts-node": "^10.4.0",
@@ -25,0 +26,0 @@ "typescript": "^4.4.4"

source/Matrix.ts

 import {Vector} from "./Vector";
 import {Eigenvector} from "./Eigenvector";
+import {Random} from "nlptoolkit-util/dist/Random";
 
@@ -10,3 +11,3 @@ export class Matrix{
 
-    constructor(row: any, col: any = undefined, minValue: any = undefined, maxValue: any = undefined) {
+    constructor(row: any, col?: any, minValue?: any, maxValue?: any, random?: Random) {
         if (typeof row == 'number'){
@@ -29,3 +30,7 @@ this.row = row
                             for (let j = 0; j < this.col; j++){
-                                this.values[i].push(minValue + (maxValue - minValue) * Math.random());
+                                if (random != undefined){
+                                    this.values[i].push(random.nextDouble(minValue, maxValue));
+                                } else {
+                                    this.values[i].push(minValue + (maxValue - minValue) * Math.random());
+                                }
                             }
@@ -32,0 +37,0 @@ }

tests/MatrixTest.ts

 import * as assert from "assert";
 import {Vector} from "../dist/Vector";
 import {Matrix} from "../dist/Matrix";
+import {Random} from "nlptoolkit-util/dist/Random";
 
@@ -32,3 +33,3 @@ function nearlyEqual(value1: number, value2: number, difference: number) {
         let vr = new Vector(100, 1.0)
-        let random = new Matrix(100, 100, 1, 10)
+        let random = new Matrix(100, 100, 1, 10, new Random(0))
         let originalSum = random.sumOfElements()
@@ -35,0 +36,0 @@ let identity = new Matrix(100)

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Improved metrics

Total package byte prevSize

228046

increased by0.37%

Lines of code

4585

increased by0.26%

Worsened metrics

Dev dependency count

5

increased by25%

No dependency changes