ml-random - npm Package Compare versions

Comparing version 0.1.0 to 0.2.0

History.md

@@ -0,1 +1,6 @@
+<a name="0.2.0"></a>
+# [0.2.0](https://github.com/mljs/random/compare/v0.1.0...v0.2.0) (2018-05-16)
+
+
+
 <a name="0.1.0"></a>
@@ -2,0 +7,0 @@ # 0.1.0 (2018-05-16)

lib-es6/index.js

@@ -14,6 +14,6 @@ // tslint:disable-next-line
             const xsadd = new XSAdd(seedOrRandom);
-            this.random = xsadd.random;
+            this.randomGenerator = xsadd.random;
         }
         else {
-            this.random = seedOrRandom;
+            this.randomGenerator = seedOrRandom;
         }
@@ -23,6 +23,9 @@ }
         if (typeof values === 'number') {
-            return choice(values, options, this.random);
+            return choice(values, options, this.randomGenerator);
         }
-        return choice(values, options, this.random);
+        return choice(values, options, this.randomGenerator);
     }
+    random() {
+        return this.randomGenerator();
+    }
 }

lib/index.d.ts

@@ -7,3 +7,3 @@ import { IChoiceOptions } from './Options';
 export default class Random {
-    private random;
+    private randomGenerator;
     /**
@@ -21,2 +21,3 @@ * @param [seedOrRandom=Math.random] - Control the random number generator used by the Random class instance. Pass a random number generator function with a uniform distribution over the half-open interval [0, 1[. If seed will pass it to ml-xsadd to create a seeded random number generator. If undefined will use Math.random.
     choice(values: number, options?: IChoiceOptions): number[];
+    random(): number;
 }

lib/index.js

@@ -16,6 +16,6 @@ "use strict";
             const xsadd = new XSAdd(seedOrRandom);
-            this.random = xsadd.random;
+            this.randomGenerator = xsadd.random;
         }
         else {
-            this.random = seedOrRandom;
+            this.randomGenerator = seedOrRandom;
         }
@@ -25,7 +25,10 @@ }
         if (typeof values === 'number') {
-            return choice_1.default(values, options, this.random);
+            return choice_1.default(values, options, this.randomGenerator);
         }
-        return choice_1.default(values, options, this.random);
+        return choice_1.default(values, options, this.randomGenerator);
     }
+    random() {
+        return this.randomGenerator();
+    }
 }
 exports.default = Random;

package.json

 {
   "name": "ml-random",
-  "version": "0.1.0",
+  "version": "0.2.0",
   "description": "choose randomly from a selection of elements",
@@ -8,2 +8,3 @@ "main": "lib/index.js",
   "files": ["lib", "lib-es6", "src"],
+  "types": "lib/index.d.ts",
   "scripts": {
@@ -10,0 +11,0 @@ "clean": "shx rm -rf lib-es6 lib",

src/__tests__/test.ts

@@ -5,3 +5,3 @@ import * as XSAdd from 'ml-xsadd';
 let random: Random;
-describe('test random', () => {
+describe('random.choice', () => {
   beforeEach(() => {
@@ -55,1 +55,12 @@ random = new Random(28);
 });
+
+describe('random.random', () => {
+  it('should generate random numbers', () => {
+    random = new Random(14);
+    const r = [];
+    for (let i = 0; i < 10; i++) {
+      r.push(random.random());
+    }
+    expect(r).toMatchSnapshot();
+  });
+});

src/index.ts

@@ -11,3 +11,3 @@ // tslint:disable-next-line
 export default class Random {
-  private random: IRandomGenerator;
+  private randomGenerator: IRandomGenerator;
   /**
@@ -19,5 +19,5 @@ * @param [seedOrRandom=Math.random] - Control the random number generator used by the Random class instance. Pass a random number generator function with a uniform distribution over the half-open interval [0, 1[. If seed will pass it to ml-xsadd to create a seeded random number generator. If undefined will use Math.random.
       const xsadd: any = new XSAdd(seedOrRandom);
-      this.random = xsadd.random;
+      this.randomGenerator = xsadd.random;
     } else {
-      this.random = seedOrRandom;
+      this.randomGenerator = seedOrRandom;
     }
@@ -40,6 +40,10 @@ }
     if (typeof values === 'number') {
-      return choice(values, options, this.random);
+      return choice(values, options, this.randomGenerator);
     }
-    return choice(values, options, this.random);
+    return choice(values, options, this.randomGenerator);
   }
+
+  public random(): number {
+    return this.randomGenerator();
+  }
 }

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Worsened metrics

Total package byte prevSize

15025

decreased by-4.09%

Number of package files

22

decreased by-15.38%

Lines of code

341

decreased by-5.8%

No dependency changes