gaussian - npm Package Compare versions

Comparing version 1.2.0 to 1.3.0

bower.json

 {
   "name": "gaussian",
-  "version": "1.2.0",
+  "version": "1.3.0",
   "homepage": "https://github.com/errcw/gaussian",
@@ -5,0 +5,0 @@ "authors": [

component.json

 {
     "name": "gaussian",
-    "version": "1.2.0",
+    "version": "1.3.0",
     "main": "lib/gaussian.js",
@@ -5,0 +5,0 @@ "scripts": [

lib/box-muller.js

@@ -9,5 +9,23 @@ /**
   const _2PI = Math.PI * 2;
-  function generateGaussian(mean,std){
-    var u1 = Math.random();
-    var u2 = Math.random();
+
+  /**
+   *
+   * @param {number} mean
+   * @param {number} std
+   * @param randFn - an optional function that returns a float between 0 (inclusive) and 1
+   * (exclusive).  Use this if you want to pass in a random number generator other than
+   * Math.random().
+   * @returns {number}
+   */
+  function generateGaussian(mean,std, randFn = null){
+    var u1;
+    var u2;
+    if (randFn) {
+      u1 = randFn();
+      u2 = randFn();
+    }
+    else {
+      u1 = Math.random();
+      u2 = Math.random();
+    }
     
@@ -24,3 +42,4 @@ var z0 = Math.sqrt(-2.0 * Math.log(u1)) * Math.cos(_2PI * u2);
     ? function(e) { module.exports = e; }
+    // istanbul ignore next
     : function(e) { this["boxmuller"] = e; });
   

lib/gaussian.js

@@ -103,8 +103,16 @@ (function(exports) {
 
-  // Generate [num] random samples
-  Gaussian.prototype.random = function(num){
+
+  /**
+   * Generate [num] random samples
+   * @param {number} num
+   * @param randFn - an optional function that returns a float between 0 (inclusive) and 1
+   * (exclusive).  Use this if you want to pass in a random number generator other than
+   * Math.random().
+   * @returns {number[]}
+   */
+  Gaussian.prototype.random = function(num, randFn = null){
     let mean = this.mean;
     let std = this.standardDeviation;
     return Array(num).fill(0).map(() => {
-      return generateGaussian(mean,std)
+      return generateGaussian(mean,std, randFn)
     })
@@ -125,2 +133,4 @@ };
     ? function(e) { module.exports = e; }
+    // istanbul ignore next
     : function(e) { this["gaussian"] = e; });
+

package.json

 {
   "name": "gaussian",
   "description": "A JavaScript model of a Gaussian distribution",
-  "version": "1.2.0",
+  "version": "1.3.0",
   "author": "Eric Woroshow <[e-mail]>",
@@ -11,6 +11,3 @@ "homepage": "https://github.com/errcw/gaussian",
   },
-  "licenses": {
-    "type": "MIT",
-    "url": "http://github.com/errcw/gaussian/blob/master/LICENSE"
-  },
+  "license": "MIT",
   "main": "lib/gaussian",
@@ -17,0 +14,0 @@ "scripts": {

README.md

@@ -0,1 +1,6 @@
+[![Version](https://img.shields.io/npm/v/gaussian)](https://www.npmjs.com/package/gaussian)
+[![Tests](https://github.com/errcw/gaussian/workflows/tests/badge.svg)](https://github.com/errcw/gaussian/actions/workflows/tests.yml)
+[![Coverage Status](https://coveralls.io/repos/github/errcw/gaussian/badge.svg?branch=master)](https://coveralls.io/github/errcw/gaussian?branch=master)
+[![Downloads](https://img.shields.io/npm/dy/gaussian)](https://www.npmjs.com/package/gaussian)
+
 # gaussian
@@ -9,2 +14,3 @@
 ### Creating a Distribution
+
 ```javascript
@@ -18,2 +24,3 @@ var gaussian = require('gaussian');
 ### Properties
+
 - `mean`: the mean (μ) of the distribution
@@ -24,2 +31,3 @@ - `variance`: the variance (σ^2) of the distribution
 ### Probability Functions
+
 - `pdf(x)`: the probability density function, which describes the probability
@@ -32,2 +40,3 @@ of a random variable taking on the value _x_
 ### Combination Functions
+
 - `mul(d)`: returns the product distribution of this and the given distribution; equivalent to `scale(d)` when d is a constant
@@ -40,2 +49,3 @@ - `div(d)`: returns the quotient distribution of this and the given distribution; equivalent to `scale(1/d)` when d is a constant
 ### Generation Function
-- `random(n)`: returns an array of generated `n` random samples correspoding to the Gaussian parameters.
+
+- `random(n)`: returns an array of generated `n` random samples correspoding to the Gaussian parameters.

test/gaussian.test.js

@@ -102,2 +102,8 @@ // Tests based on values from Wolfram Alpha.
 
+it('test custom RNG', () => {
+  var sillyFn = () => .5;
+  const outcomes = gaussian(0, 0.3).random(2, sillyFn);
+  outcomes.forEach((outcome) => expect(outcome).toBeCloseTo(-0.644894028, 8));
+});
+
 /**
@@ -116,1 +122,24 @@ * Just a naive and simple
 });
+
+/**
+ * Coverage for gaussian.js:20
+ */
+it('ceils ppf >= 1', () => {
+  expect.assertions(3);
+  const normal = gaussian(0, 1);
+  expect(normal.ppf(1)).toBe(141.4213562373095);
+  expect(normal.ppf(1.1)).toBe(141.4213562373095);
+  expect(normal.ppf(100)).toBe(141.4213562373095);
+});
+
+/**
+ * Coverage for gaussian.js:21
+ */
+it('ceils ppf <= 0', () => {
+  expect.assertions(4);
+  const normal = gaussian(0, 1);
+  expect(normal.ppf(0)).toBe(-141.4213562373095);
+  expect(normal.ppf(-0)).toBe(-141.4213562373095);
+  expect(normal.ppf(-0.1)).toBe(-141.4213562373095);
+  expect(normal.ppf(-1)).toBe(-141.4213562373095);
+});

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Major refactor

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Improved metrics

Total package byte prevSize

14270

increased by19.83%

Number of package files

10

increased by11.11%

Lines of code

304

increased by20.63%

Number of lines in readme file

47

increased by30.56%

Number of medium supply chain risk alerts

0

decreased by-100%

No dependency changes