Troschuetz.Random.Unchecked 3.2.0

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Troschuetz.Random

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dotnet add package Troschuetz.Random.Unchecked --version 3.2.0
                    
NuGet\Install-Package Troschuetz.Random.Unchecked -Version 3.2.0
                    
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="Troschuetz.Random.Unchecked" Version="3.2.0" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Troschuetz.Random.Unchecked" Version="3.2.0" />
                    
Directory.Packages.props
<PackageReference Include="Troschuetz.Random.Unchecked" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add Troschuetz.Random.Unchecked --version 3.2.0
                    
#r "nuget: Troschuetz.Random.Unchecked, 3.2.0"
                    
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
#addin nuget:?package=Troschuetz.Random.Unchecked&version=3.2.0
                    
Install Troschuetz.Random.Unchecked as a Cake Addin
#tool nuget:?package=Troschuetz.Random.Unchecked&version=3.2.0
                    
Install Troschuetz.Random.Unchecked as a Cake Tool

DISCLAIMER: This is an "unchecked" version of the Troschuetz.Random library, that is, it is a release where all integrity checks have been stripped away to achieve the best performance. Use this instead of the original Troschuetz.Random library IF AND ONLY IF you are certain that your code does not rely on those integrity checks and that it never violates them.
Fully managed library providing various random number generators and distributions.
More precisely, this library offers four generators (ALF, MT19937, Standard, XorShift128), six discrete distributions (Bernoulli, Binomial, Categorical, DiscreteUniform, Geometric, Poisson) and twenty continuous distributions (like Normal, Exponential, ChiSquare, Beta, and so on); moreover, it offers a random class similar to the one Python offers (TRandom).
All the hard work behind this library was done by Stefan Troschütz, and for which I thank him very much. What I have done with his great project, was simply to refactor and improve his code, while offering the new random class similar to the one Python offers.
You can find the modified source code and the available documentation at the project URL.

Product Compatible and additional computed target framework versions.
.NET Framework net40-client is compatible. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

This package has no dependencies.

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Version Downloads Last updated

* Generators and distributions are now serializable.