NumSharp/test/NumSharp.Tests.Interop/NumSharp.Tests.Interop.csproj at master · SciSharp/NumSharp · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
<Project Sdk="Microsoft.NET.Sdk">

  <PropertyGroup>
    <TargetFrameworks>net8.0;net10.0</TargetFrameworks>
    <OutputType>Exe</OutputType>
    <IsPackable>false</IsPackable>
    <AllowUnsafeBlocks>true</AllowUnsafeBlocks>
    <LangVersion>latest</LangVersion>
    <Platforms>AnyCPU</Platforms>
    <!-- Strong-naming is set repo-wide in ../../Directory.Build.props. Signed because
         NumSharp.Interop.pythonnet grants it InternalsVisibleTo, which now names a PublicKey. -->
    <Configurations>Debug;Release;Publish</Configurations>
  </PropertyGroup>

  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Publish|AnyCPU'">
    <DocumentationFile />
    <Optimize>true</Optimize>
  </PropertyGroup>

  <ItemGroup>
    <PackageReference Include="MSTest" Version="3.8.3" />
    <PackageReference Include="AwesomeAssertions" Version="9.3.0" />
    <!-- Addition over NumSharp.Tests: the embedded Python engine. This pin is exactly the
         library's floor (see NumSharp.Interop.pythonnet.csproj), so CI exercises the version a
         default `dotnet add package` actually resolves — NuGet takes lowest-applicable, not latest.
         3.0.5 drives Python 3.7-3.13; a Python 3.14 host needs 3.1.0 here (the library allows it,
         and the source compiles clean against all of 3.0.0-3.1.0). Tests self-skip without numpy. -->
    <PackageReference Include="pythonnet" Version="3.0.5" />
    <!-- Numpy.NET compatibility proof (NumpyNetInteropTests): the Bare flavor binds to whatever
         engine is already initialized (no Python.Included download) and depends on pythonnet 3.0.1,
         which NuGet unifies with the pin above. NEVER also reference "Numpy" here — both packages
         ship the same types in different assemblies (CS0433). -->
    <PackageReference Include="Numpy.Bare" Version="3.11.1.33" />
  </ItemGroup>

  <ItemGroup>
    <ProjectReference Include="..\..\src\NumSharp.Core\NumSharp.Core.csproj" />
    <ProjectReference Include="..\..\src\NumSharp.Interop.pythonnet\NumSharp.Interop.pythonnet.csproj" />
    <!-- The optional external-CBLAS/LAPACK engine. Unlike NumSharp.Tests — which SUPPRESSES the
         module-load auto-install because most of its tiers assert NumSharp's own managed kernels —
         this interop suite deliberately runs with OpenBLAS as the DEFAULT backend (enabled in
         PythonSession.Start), so np.dot/matmul/linalg go through the bundled scipy-openblas. The
         bundled runtimes/<rid>/native/ asset flows to the output via this reference, and the
         host-pinned differential tests compare NumSharp's OpenBLAS results against live numpy.linalg
         over the same exported bytes. -->
    <ProjectReference Include="..\..\src\NumSharp.Interop.OpenBLAS\NumSharp.Interop.OpenBLAS.csproj" />
  </ItemGroup>

</Project>