RandomKit
Random data generation in Swift
Install / Use
/learn @nvzqz/RandomKitREADME
RandomKit is a Swift framework that makes random data generation simple and easy.
- Build Status
- Installation
- Benchmark
- Usage
- Extra
- License
Build Status
| Branch | Status |
| :-------: | :----: |
| master | |
Installation
Compatibility
- Platforms:
- macOS 10.9+
- iOS 8.0+
- watchOS 2.0+
- tvOS 9.0+
- Linux
- Xcode 8.0+
- Swift 3.0.2+ & 4.0
RandomKit is possibly also compatible with FreeBSD, Android, and Windows (under Cygwin) but has not been tested for those platforms.
Install Using Swift Package Manager
The Swift Package Manager is a decentralized dependency manager for Swift.
-
Add the project to your
Package.swift.import PackageDescription let package = Package( name: "MyAwesomeProject", dependencies: [ .Package(url: "https://github.com/nvzqz/RandomKit.git", majorVersion: 5) ] ) -
Import the RandomKit module.
import RandomKit
Install Using CocoaPods
CocoaPods is a centralized dependency manager for Objective-C and Swift. Go here to learn more.
-
Add the project to your Podfile.
use_frameworks! pod 'RandomKit', '~> 5.2.3'If you want to be on the bleeding edge, replace the last line with:
pod 'RandomKit', :git => 'https://github.com/nvzqz/RandomKit.git' -
Run
pod installand open the.xcworkspacefile to launch Xcode. -
Import the RandomKit framework.
import RandomKit
Install Using Carthage
Carthage is a decentralized dependency manager for Objective-C and Swift.
-
Add the project to your Cartfile.
github "nvzqz/RandomKit" -
Run
carthage updateand follow the additional steps in order to add RandomKit to your project. -
Import the RandomKit framework.
import RandomKit
Benchmark
Various components of RandomKit can be easily benchmarked by running benchmark.sh.
./benchmark.sh [FLAGS] [PROTOCOLS]
Use the --help flag for information regarding how to use it.
Note: The default count is 10000000, which is A LOT if using the --array flag.
This can be changed by passing an argument into --count or -c.
Usage
Try it out for yourself! Download the repo and open 'RandomKit.playground'.
RandomGenerator
The RandomGenerator protocol defines basic methods for generating primitive
values and randomizing a buffer.
All provided types that conform to RandomGenerator have a static default
value that can be passed as an inout argument to generation functions.
let value = Int.random(using: &Xoroshiro.default)
Available Generators
-
ARC4Random- Because the symbols for the
arc4randomfamily of functions aren't exported with Foundation on Linux and other platforms, they're dynamically loaded at runtime.
- Because the symbols for the
-
DeviceRandom- Reads from "/dev/random" or "/dev/urandom" as its source.
-
MersenneTwister -
Xoroshiro -
Xorshift -
XorshiftStar -
ChaCha
SeedableRandomGenerator
SeedableRandomGenerator is for types that can be seeded with some associated
Seed type.
RandomBytesGenerator
The RandomBytesGenerator protocol is for types that specialize in generating a
specific type that fills up a number of bytes. For example, MersenneTwister
specializes in generating UInt64 while Xorshift generates UInt32 values.
Thread Safety
For single-threaded programs, it is safe to use a global generator instance such
as Xoroshiro.default as a source of randomness.
For multi-threaded programs, the thread-local instances should be used. This allows for different threads to use their own separate random generators without a shared mutable state.
In the following example, randomGenerator is unique to each thread.
let randomBytes = Xoroshiro.withThreadLocal { randomGenerator in
return [UInt8](randomCount: 1000, using: &randomGenerator)
}
Thread-local generators are deallocated upon thread exit, so there's no need to worry about cleanup.
It's recommended to not call withThreadLocal(_:) or get the threadLocal
pointer each individual time it's needed. Retrieving the thread-local instance
incurs avoidable overhead.
// Bad
let value = Int.random(using: &Xoroshiro.threadLocal.pointee)
array.shuffle(using: &Xoroshiro.threadLocal.pointee)
// Good
let threadLocal = Xoroshiro.threadLocal
let value = Int.random(using: &threadLocal.pointee)
array.shuffle(using: &threadLocal.pointee)
// Better
Xoroshiro.withThreadLocal { randomGenerator in
let value = Int.random(using: &randomGenerator)
array.shuffle(using: &randomGenerator)
}
As a shortcut, you can even apply a function directly as a parameter.
let value = Xoroshiro.withThreadLocal(Int.random)
Prior to v4.4.0,
thread safety could be achieved by instantiating a new seeded instance of a
given RandomGenerator type. The problem with this is that unnecessary seeding
occurs each time. With this, the generator is seeded once and can then be reused
at later points.
Shortcuts to the reseeding version of a generator are also available:
Xoroshiro.withThreadLocalReseeding {
...
}
Which is way better than writing:
ReseedingRandomGenerator.withThreadLocal(createdWith: { Xoroshiro.reseeding }) {
...
}
Protocols
RandomKit is very protocol-oriented, which gives it the ability to be very flexible and modular.
Random
A protocol for types that can generate random values using a RandomGenerator.
RandomInRange
A protocol for types that can generate optional random values within a range
using a RandomGenerator.
Int.random(in: 0 ..< 0, using: &randomGenerator) // nil
RandomInClosedRange
A protocol for types that can generate random values within a closed range
using a RandomGenerator.
Int.random(in: -100 ... 100, using: &randomGenerator) // -79
RandomToValue
A protocol for types that can generate random values from a base value to another

