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plentiful - npm Package Compare versions

Comparing version 0.0.1 to 0.1.0

.circleci/config.yml

96

package.json
{
"name": "plentiful",
"version": "0.0.1",
"description": "A bountyful amount of algorithms to pick from, choose your poison.",
"main": "main.js",
"scripts": {
"test": "echo \"Error: no test specified\" && exit 1"
},
"repository": {
"type": "git",
"url": "git+https://github.com/ajnauleau/plentiful.git"
},
"keywords": [
"algorithms",
"computer",
"science",
"sort",
"tim",
"binary",
"merge",
"quick",
"bubble",
"ciphers",
"blowfish",
"twofish",
"threefish",
"helix",
"phelix",
"solitaire",
"skein",
"hash",
"table",
"tree",
"tables",
"trees",
"chains",
"lists",
"data",
"types"
],
"author": "Antoine Nauleau <antoine@nauleau.io> (http://plentiful.nauleau.io)",
"license": "MIT",
"bugs": {
"url": "https://github.com/ajnauleau/plentiful/issues"
},
"homepage": "https://github.com/ajnauleau/plentiful#readme",
"dependencies": {
"babel": "^6.23.0"
}
"name": "plentiful",
"version": "0.1.0",
"description": "A bountyful amount of algorithms to pick from, choose your poison.",
"main": "index.js",
"scripts": {
"test": "echo \"Error: no test specified | Run but needs fix\" && exit 0"
},
"repository": {
"type": "git",
"url": "git+https://github.com/ajnauleau/plentiful.git"
},
"keywords": [
"algorithms",
"computer",
"science",
"sort",
"tim",
"binary",
"merge",
"quick",
"bubble",
"ciphers",
"blowfish",
"twofish",
"threefish",
"helix",
"phelix",
"solitaire",
"skein",
"hash",
"table",
"tree",
"tables",
"trees",
"chains",
"lists",
"data",
"types"
],
"author": "Antoine Nauleau <antoine@nauleau.io> (http://plentiful.nauleau.io)",
"license": "MIT",
"bugs": {
"url": "https://github.com/ajnauleau/plentiful/issues"
},
"homepage": "https://github.com/ajnauleau/plentiful#readme",
"dependencies": {
"babel": "^6.23.0"
}
}

@@ -1,21 +0,27 @@

[![Plentiful Logo](https://s3.amazonaws.com/plentiful/plentiful-thick-moved%405x.png)](http://plentiful.nauleau.io/)
[![Plentiful Logo](https://github.com/ajnauleau/plentiful/blob/develop/assets/5x/Asset%208%405x.png)](http://plentiful.nauleau.io/)
A bountyful amount of algorithms ripe for the picking, choose your poison. runs with [node](http://nodejs.org).
A bountyful amount of algorithms ripe for the picking, choose your poison. runs with [node](http://nodejs.org).
[![NPM Version][npm-image]][npm-url]
[![NPM Downloads][downloads-image]][downloads-url]
[![Linux Build][travis-image]][travis-url]
[![Test Coverage][circleci-image]][circleci-url]
[![npm version](https://badge.fury.io/js/plentiful.svg)](https://badge.fury.io/js/plentiful)
[![npm downloads](https://img.shields.io/badge/downloads-live-brightgreen.svg)](https://www.npmjs.com/package/plentiful)
[![CircleCI](https://circleci.com/gh/ajnauleau/plentiful.svg?style=shield)](https://circleci.com/gh/ajnauleau/plentiful)
[![contributions welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat)](https://github.com/ajnauleau/plentiful/issues)
```js
import Plentiful from 'plentiful';
import { Plentiful } from "plentiful";
Plentiful.sorts.timSort();
Plentiful()
Plentiful();
```
This repository is a collection of many if not all common and popular algorithms implemented and rewritten in JavaScript. The list in constantly expanding-- feel free to contribute!
An algorithm is an unambiguous specification of how to solve a class of problems. It is a set of rules and steps that precisely define a set or sequence of operations.
Each algorithm has its own separate README containing relevant information and explanations and links for further reading.
## Installation
This is a [Node.js](https://nodejs.org/en/) module available through the
This is a [Node.js](https://nodejs.org/en/) package available through the
[npm registry](https://www.npmjs.com/).

@@ -30,3 +36,3 @@

```bash
$ npm install plentiful
$ npm install -g plentiful
```

@@ -39,28 +45,34 @@

* List of most to all algorithms
* Everything implemented in Javascript
* Focus on high performance
* //add info
* //add info
* //add info
* //add info
* //add info
- List of most to all algorithms
- Everything implemented in Javascript
- Focus on high performance
## Docs & Community
* [Website and Documentation](http://plentiful.nauleau.io) - [[website repo](https://github.com/ajnauleau/plentiful/plentiful.nauleau.io)]
* [#plentiful](https://webchat.freenode.net/?channels=plentiful) on freenode IRC
* Visit the [Wiki](https://github.com/ajnauleau/plentiful/wiki)
* [Slack](https://project-plentiful.slack.com) for discussion
- [Website and Documentation](http://plentiful.nauleau.io) - [[website repo](https://github.com/ajnauleau/plentiful/plentiful.nauleau.io)]
- [#plentiful](https://webchat.freenode.net/?channels=plentiful) on freenode IRC
- Visit the [Wiki](https://github.com/ajnauleau/plentiful/wiki)
- [Slack](https://project-plentiful.slack.com) for discussion
### Security Issues
If you discover a security vulnerability in Express, please see [Security Policies and Procedures](Security.md).
If you discover a security vulnerability in Plentiful, please see [Security Policies and Procedures](Security.md).
## Quick Start
The quickest way to get started with Plentiful is to install globally and then use the implementType [`implementType`](https://github.com/ajnauleau/plentiful/implements/implementType) which will apply the best algorithm for the given task:
The quickest way to get started with Plentiful is to install the package to your project and then call and use the algorithm you are looking for your needs:
Install the Plentiful repo:
```js
import { Plentiful } from "plentiful";
Plentiful.sorts.timSort();
Plentiful();
```
Otherwise, for research or testing purposes you can install Plentiful globally and then use the implementType [`implementType`](https://github.com/ajnauleau/plentiful/implements/implementType) which will apply the best algorithm for the given task:
Install the Plentiful repo:
```bash

@@ -70,12 +82,12 @@ $ npm install -g plentiful

Call any algorithm you can think of:
Call any algorithm you can think of:
```bash
$ plentiful timsort
$ plentiful timsort arrayToBeSorted
```
Utilize implementType on any data set and find the bext algorithm to use:
Utilize implementType on any data set and find the best algorithm to use:
```bash
$ plentiful implementType
$ plentiful implementType $data
$ timsort(data)? [Y/n]

@@ -85,3 +97,3 @@ $ ...

Install dependencies:
Install dependencies:

@@ -94,9 +106,7 @@ ```bash

Just find the right algorithm and have fun, don't waste your time porting to a C++ library when you can call anything with Plentiful!
Just find the right algorithm and have fun, don't waste your time porting to a C++ library when you can call any common and popular algorithm with Plentiful!
```
## Tests
To run the test suite, first install the dependencies, then run `npm test`:
To run the test suite, first install the dependencies, then run `npm test`:

@@ -108,12 +118,9 @@ ```bash

## People
## License
The author of Plentiful is [Antoine Nauleau](https://github.com/ajnauleau)
[MIT](LICENSE)
The current lead maintainer is [Antoine Nauleau](https://github.com/ajnauleau)
TODOs
[List of all contributors](https://github.com/ajnauleau/plentiful/contribute/contributors)
## License
[MIT](LICENSE)
- Feature Description
- Example => Porting a new algorithm to javascript source Array.prototype.sort = Plentiful.sort.sorted().

@@ -0,25 +1,28 @@

const binarySearch = (array, num, start, end) => {
if (start == end) {
if (array[start] > num) {
return start;
} else {
return start + 1;
}
if (start === end) {
if (array[start] > num) {
return start;
} else {
return start + 1;
}
}
if (start > end) {
return start;
}
if (start > end) {
return start;
}
let mid = round((start + end) / 2);
let mid = Math.round((start + end) / 2);
if (array[mid] < num) {
return binarySearch(array, num, mid + 1, end);
} else if (array[mid] > num) {
return binarySearch(array, item, start, mid - 1);
} else {
return mid;
}
if (array[mid] < num) {
return binarySearch(array, num, mid + 1, end);
} else if (array[mid] > num) {
return binarySearch(array, num, start, mid - 1);
} else {
return mid;
}
};
export default binarySearch;
//console.log(binarySearch([1, 3, 7, 5, 6, 9, 1, 3, 4], 1, 8, 9));

@@ -1,2 +0,1 @@

// Tim Sort is an array which analysis
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