dotnet add package FrameworkAbstraction --version 2.0.0
NuGet\Install-Package FrameworkAbstraction -Version 2.0.0
<PackageReference Include="FrameworkAbstraction" Version="2.0.0" />
paket add FrameworkAbstraction --version 2.0.0
#r "nuget: FrameworkAbstraction, 2.0.0"
// Install FrameworkAbstraction as a Cake Addin #addin nuget:?package=FrameworkAbstraction&version=2.0.0 // Install FrameworkAbstraction as a Cake Tool #tool nuget:?package=FrameworkAbstraction&version=2.0.0
FrameworkAbstraction provides wrapper interfaces around .NET framework classes which interact with the operating system (e.g. classes in the System.IO.File and System.Net.Sockets namespaces). This allows for mocking of these classes in unit tests.
|.NET Framework||net40 net403 net45 net451 net452 net46 net461 net462 net463 net47 net471 net472 net48 net481|
- No dependencies.
NuGet packages (3)
Showing the top 3 NuGet packages that depend on FrameworkAbstraction:
Mathematics Modular Framework (MMF) is a framework which allows simple construction and rearrangement of workflows for finance, mathematics, and machine learning applications. It allows the packaging of a program unit that performs a mathematical function into a 'module', which has strongly defined and typed inputs and outputs. The outputs of modules can then be linked to the inputs of other modules to form a directed graph (known as a 'module graph') which defines the workflow. The hierarchy implicit in the module graph allows the workflow to be executed automatically in order of dependency when processed. Workflows can also be serialized to and from XML documents, and hence written to and read from persistent storage (file, database, network, etc...). MMF was created primarily for financial maths and machine learning, but works with any data types in the .NET framework (including custom classes defined in an application or framework), and hence is suitable for any application where workflows must be flexibly defined at runtime.
SimpleML provides implementations of basic machine learning algorithms.
An implementation of an ApplicationMetrics metric logger which writes metrics and instrumentation information to Windows performance counters.
This package is not used by any popular GitHub repositories.