IntX 1.0.0.1

.NET Framework 2.0 This package targets .NET Framework 2.0. The package is compatible with this framework or higher.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package IntX --version 1.0.0.1                

                    
                

            
NuGet\Install-Package IntX -Version 1.0.0.1
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="IntX" Version="1.0.0.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add IntX --version 1.0.0.1                

                    
                

            
#r "nuget: IntX, 1.0.0.1"
#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. 
// Install IntX as a Cake Addin
#addin nuget:?package=IntX&version=1.0.0.1

// Install IntX as a Cake Tool
#tool nuget:?package=IntX&version=1.0.0.1

IntX is an arbitrary precision integers class written in pure C# with fast - about O(N * log N) - multiplication/division algorithms implementation. Runs on .NET 2.0+.

Product Compatible and additional computed target framework versions.
.NET Framework net20 is compatible.  net35 was computed.  net40 was computed.  net403 was computed.  net45 was computed.  net451 was computed.  net452 was computed.  net46 was computed.  net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
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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ChrisBigMath

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Version Downloads Last updated
1.0.1 4,733 3/12/2015
1.0.0.2 1,705 2/12/2013
1.0.0.1 1,869 1/3/2012
1.0.0 1,460 12/23/2011

Added license text into distribution.