private static void ProcessNumpy()
{
var spec = new ReleaseSpec()
{
Version = $"3.7.{V}",
ProjectName = ProjectName,
RelativeProjectPath = ProjectPath,
PackageId = "Numpy",
Description = @"C# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI. Does not require a local Python installation!",
PackageTags = "Data science, Machine Learning, ML, AI, Scientific Computing, NumPy, Linear Algebra, FFT, SVD, Matrix, Python",
UsePythonIncluded = true,
};
spec.Process();
// nuget
var key = File.ReadAllText("../../nuget.key").Trim();
foreach (var nuget in Directory.GetFiles(Path.Combine(ProjectPath, "bin", "Release"), "*.nupkg"))
{
Console.WriteLine("Push " + nuget);
var arg = $"push -Source https://api.nuget.org/v3/index.json -ApiKey {key} {nuget}";
var p = new Process()
{
StartInfo = new ProcessStartInfo("nuget.exe", arg)
{
RedirectStandardOutput = true, RedirectStandardError = true, UseShellExecute = false
}
};
p.OutputDataReceived += (x, data) => Console.WriteLine(data.Data);
p.ErrorDataReceived += (x, data) => Console.WriteLine("Error: " + data.Data);
p.Start();
p.WaitForExit();
Console.WriteLine("... pushed");
}
}
private static void ProcessKeras()
{
var spec = new ReleaseSpec()
{
Version = $"3.6.{V}",
ProjectName = ProjectName,
RelativeProjectPath = ProjectPath,
PackageId = "Keras.NET",
Description = @"C# bindings for Keras on {0} - Keras.NET is a high-level neural networks API, capable of running on top of TensorFlow, CNTK, or Theano. ",
PackageTags = "Data science, Machine Learning, ML, AI, Keras, Neural Network, deep learning",
UsePythonIncluded = true,
};
spec.Process();
// nuget
var key = File.ReadAllText("../../nuget.key").Trim();
foreach (var nuget in Directory.GetFiles(Path.Combine(ProjectPath, "bin", "Release"), "*.nupkg"))
{
Console.WriteLine("Push " + nuget);
var arg = $"push -Source https://api.nuget.org/v3/index.json -ApiKey {key} {nuget}";
var p = new Process()
{
StartInfo = new ProcessStartInfo("nuget.exe", arg)
{
RedirectStandardOutput = true, RedirectStandardError = true, UseShellExecute = false
}
};
p.OutputDataReceived += (x, data) => Console.WriteLine(data.Data);
p.ErrorDataReceived += (x, data) => Console.WriteLine("Error: " + data.Data);
p.Start();
p.WaitForExit();
Console.WriteLine("... pushed");
}
}
