FsCheck.Xunit 2.10.0

There is a newer version of this package available.
See the version list below for details.
dotnet add package FsCheck.Xunit --version 2.10.0
NuGet\Install-Package FsCheck.Xunit -Version 2.10.0
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="FsCheck.Xunit" Version="2.10.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add FsCheck.Xunit --version 2.10.0
#r "nuget: FsCheck.Xunit, 2.10.0"
#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.
// Install FsCheck.Xunit as a Cake Addin
#addin nuget:?package=FsCheck.Xunit&version=2.10.0

// Install FsCheck.Xunit as a Cake Tool
#tool nuget:?package=FsCheck.Xunit&version=2.10.0

FsCheck.Xunit integrates FsCheck with xUnit.NET by adding a PropertyAttribute that runs FsCheck tests, similar to xUnit.NET's FactAttribute.

All the options normally available in vanilla FsCheck via configuration can be controlled via the PropertyAttribute.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp1.0 was computed.  netcoreapp1.1 was computed.  netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard1.6 is compatible.  netstandard2.0 was computed.  netstandard2.1 was computed. 
.NET Framework net452 is compatible.  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. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen30 was computed.  tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

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Version Downloads Last updated
3.0.0-rc3 6,366 3/3/2024
3.0.0-rc2 457 2/25/2024
3.0.0-rc1 31,687 7/23/2023
3.0.0-beta2 54,247 1/8/2022
3.0.0-beta1 8,814 9/5/2021
3.0.0-alpha5 41,337 12/28/2020
3.0.0-alpha4 176,342 10/6/2018
3.0.0-alpha3 10,329 12/30/2017
3.0.0-alpha2 5,646 10/19/2017
3.0.0-alpha1 1,721 9/26/2017
2.16.6 250,500 7/1/2023
2.16.5 500,621 6/1/2022
2.16.4 325,015 1/8/2022
2.16.3 153,053 9/4/2021
2.16.2 6,292 8/30/2021
2.16.0 26,318 8/13/2021
2.15.3 148,276 5/8/2021
2.15.2 83,148 4/15/2021
2.15.1 62,582 2/27/2021
2.15.0 2,470 2/23/2021
2.14.6 26,848 2/21/2021
2.14.5 3,524 2/18/2021
2.14.4 26,116 1/31/2021
2.14.3 372,269 6/9/2020
2.14.2 77,211 3/11/2020
2.14.0 459,720 4/17/2019
2.13.0 182,182 11/11/2018
2.12.1 19,348 10/18/2018
2.12.0 5,721 10/6/2018
2.11.0 84,576 6/15/2018
2.10.10 57,860 5/15/2018
2.10.9 12,135 4/10/2018
2.10.8 64,321 3/3/2018
2.10.7 11,434 1/29/2018
2.10.6 7,654 12/30/2017
2.10.5 13,502 12/28/2017
2.10.4 35,358 11/8/2017
2.10.3 5,985 9/26/2017
2.10.2 9,889 9/25/2017
2.10.1 1,502 9/23/2017
2.10.0 10,995 9/7/2017
2.9.2 3,103 8/28/2017
2.9.1 1,314 8/27/2017
2.9.0 48,435 5/18/2017
2.9.0-rc3 4,222 5/7/2017
2.9.0-rc2 1,087 5/6/2017
2.9.0-rc1 1,040 5/6/2017
2.8.2 3,623 5/6/2017
2.8.1 1,383 5/1/2017
2.8.0 5,684 3/15/2017
2.7.2 4,579 3/5/2017
2.7.1 4,859 2/13/2017
2.7.0 4,398 1/15/2017
2.6.3 2,128 1/13/2017
2.6.2 7,284 10/7/2016
2.6.1 1,868 9/25/2016
2.6.0 11,309 8/3/2016
2.5.0 26,680 6/7/2016
2.4.0 7,478 4/20/2016
2.3.0 2,781 4/11/2016
2.2.5 5,465 3/28/2016
2.2.4 12,681 12/17/2015
2.2.3 1,792 11/26/2015
2.2.2 2,710 11/14/2015
2.2.1 1,487 11/5/2015
2.2.0 10,988 11/1/2015
2.1.0 3,697 9/30/2015
2.0.7 5,882 8/20/2015
2.0.6 2,039 8/14/2015
2.0.5 3,054 7/31/2015
2.0.4 1,854 7/20/2015
2.0.3 1,673 7/10/2015
2.0.2 1,424 7/7/2015
2.0.1 2,808 5/23/2015
2.0.1-rc1 1,166 5/23/2015
2.0.0-alpha 1,450 4/27/2015
1.0.4 10,544 12/9/2014
1.0.3 2,755 11/18/2014
1.0.2 3,577 10/27/2014
1.0.1 1,585 10/18/2014
1.0.0 2,066 8/3/2014
0.4.1 26,046 5/9/2014
0.4.0.2 5,505 11/7/2013
0.4.0.1 1,943 6/21/2013
0.4.0 1,648 6/18/2013
0.3.0 1,972 8/26/2012
0.2.0 1,727 7/4/2012
0.1.0 4,511 6/25/2012

Update FsCheck.NUnit to work with NUnit 3.8.1. FsCheck.NUnit is not backwards compatible with earlier NUnit versions because NUnit changed the name of a few methods in their extension API.
Gen.listOf and Gen.arrayOf now divide the size among the element generators, to avoid exponential explosion of size when high-dimensional types like `int list list list` are generated. This is the approach advocated in https://gupea.ub.gu.se/handle/2077/22087. The effect on list and array generators is as follows, quoting from that text: This adjustment of the list generator impacts the distribution in several ways. Most apparently it inverts the correlation between the length of the list and the size of the elements, long lists will tend to have small elements instead of large. Short lists with small elements will be generated whenever n is low. Short lists with large elements will occur when n is large and a small k is chosen. If a large k is chosen instead, long list with small elements will be generated. The only way to generate long lists with large elements is if n is very large, which is natural given that the purpose of the modified algorithm is to reduce the size of test data.
Add Gen.piles generator, which generates a list of random elements that add up to a given sum.