npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

the-pythia

v1.0.2

Published

Deterministic Math.random()

Downloads

8

Readme

pythia

Pythia was the name of the high priestess of the Temple of Apollo at Delphi. She specifically served as its oracle and was known as the Oracle of Delphi.

Deterministically mock values from Math.random.

Values can be given as a single number, an array or a function returning a value. Optionally stop mocking after the values have been used.

Values are verified to be of type number and in the interval [0,1[, as this is what Math.random returns. An error is thrown when unexpected values are detected.

Installation

$ npm install --save-dev the-pythia

Usage

const pythia = require("the-pythia");

pythia.predict(0.5);

console.log(Math.random()); // 0.5

API

predict(prediction [, options])

Parameters

prediction

The value(s) to return.

Accepts the following types:

| Type | Math.random() returns | | ---------- | ----------------------- | | number | the given number | | array | each number in the array per subsequent call | | function | the return value of the function, until it returns something falsy |


options

An options object that only has one settings: repeat. Setting this to false will reset Math.random when the value(s) have been exhausted. Has no effect on function predictions, since it resets as soon as the function returns something falsy.

isPredicting()

Returns a boolean reflecting if pythia is predicting random values.

forget()

Reset Math.random to its original functionality.

reset()

Alias for forget().

Examples

const pythia = require("the-pythia");

// Type: number
pythia.predict(0.1982);

Math.random(); // 0.1982
Math.random(); // 0.1982


// Type: number, no repeat
pythia.predict(0.42, { repeat: false });

Math.random(); // 0.42
Math.random(); // Psuedo-random value between 0 and 1


// Type: array
pythia.predict([0.31, 0.41, 0.52]);

Math.random(); // 0.31
Math.random(); // 0.41
Math.random(); // 0.52
Math.random(); // 0.31


// Type: array, no repeat
pythia.predict([0.31, 0.41, 0.52], { repeat: false });

Math.random(); // 0.31
Math.random(); // 0.41
Math.random(); // 0.52
Math.random(); // Psuedo-random value between 0 and 1


// Type: function
let fakeRandomCalls = 0;
pythia.predict(() => {
  if (fakeRandomCalls++ > 2) return false;
  return 0.8219
});

Math.random(); // 0.8219
Math.random(); // 0.8219
Math.random(); // 0.8219
Math.random(); // Psuedo-random value between 0 and 1


// Unexpected predictions
pythia.predict(12); // Throws PythiaError: "Random value must be greater than or equal to zero"
pythia.predict(-1); // Throws PythiaError: "Random value must be less than one"