Selects a random file from a directory
Temporary file and directory creator
Use the random function in CSS
Generate random numbers from various distributions.
The tmp package with promises support and disposers.
Random number generator using xorshift128+
Unzip cross-platform streaming API
TypeScript definitions for d3-random
Fastest random ID and random string generation for Node.js
Get a random temporary file path
Tokenized zip support
URL and cookie safe UIDs
Generate a random path name.
An alias package for `crypto.randomBytes` in Node.js and/or browsers
CSS selector engine supporting jQuery selectors
Generate a cryptographically strong random string
a CSS selector compiler/engine
No description provided.
Random utility functions for ethers.
A Pulumi package to safely use randomness in Pulumi programs.
Mock `window.Date` when run unit test cases with jest. Make tests of `Date` easier.
A small implementation of `crypto.getRandomValues` for React Native. This is useful to polyfill for libraries like [uuid](https://www.npmjs.com/package/uuid) that depend on it.
Universal Module for Secure Random Generator in JavaScript
Continuous reading or writing to a file using random offsets and lengths
Given a set of random directories, this scripts outputs the files in them in a random order. Combined with limitations by size or by number, this can be used to pick a random collection of files from the given directories.
Renames files in specified dir with selected extension with random namesn
FSelector is a Ruby gem that aims to integrate various feature selection algorithms and related functions into one single package. Welcome to contact me (need47@gmail.com) if you'd like to contribute your own algorithms or report a bug. FSelector allows user to perform feature selection by using either a single algorithm or an ensemble of multiple algorithms, and other common tasks including normalization and discretization on continuous data, as well as replace missing feature values with certain criterion. FSelector acts on a full-feature data set in either CSV, LibSVM or WEKA file format and outputs a reduced data set with only selected subset of features, which can later be used as the input for various machine learning softwares such as LibSVM and WEKA. FSelector, as a collection of filter methods, does not implement any classifier like support vector machines or random forest.
Version 1.0.1 Update Notes: -Updated README "HOW TO RUN" -I'm not sure how to format this so it looks good on the gems website so please just see the README file. USE CASES: 1. Your friends bully you because your imaginary role playing worlds are predictable and boring. 2. You like seeing chars printed in nifty patterns. HOW TO RUN: 1. Run `super_simple_world_builder` 2. Follow the prompts EXAMPLE INPUT: Guten Tag! Welcome to Super Simple World Builder. Enter 1 to build a random world Enter 2 to build a custom world Please enter your selection (1, 2, or exit): 2 Enter the name of your world: Community-Town Enter the minimum width of the world: 15 Enter the minimum height of the world: 15 What character do you want to fill the background of your world with? (i.e. any character or single space) How many lake features do you want? 3 How many mountain features do you want? 2 How many town features do you want? 3 How many forest features do you want? 4 OUTPUT: 1. Console print out of the world map 2. A text file of the world map ACHTUNG: 1. Don't worry if the width or height entered is too small. The world will automatically enlarge to fit all features. 2. World maps look better when you enter a <space> as the character to fill the background. 3. This is a quick-and-dirty project so yolo with the specs. I added comments as a consolation prize. 4. See `feature_set.rb` to tweak the features that can be added to the world map. 5. Interestingly, menu prompts may not show up in the git bash terminal. But they do show up in Windows command prompt, so lmao. 6. Feel free to tweak the code however you like. I plan to refactor in the future to dry up some sections.