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161 lines (147 loc) · 6.18 KB
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// Copyright (c) 2019 by the SciSharp Team
// Code generated by CodeMinion: https://github.com/SciSharp/CodeMinion
using System;
using System.Collections;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Runtime.InteropServices;
using System.Text;
using Python.Runtime;
using Numpy.Models;
namespace Numpy
{
public partial class NumPy : IDisposable
{
private PyObject _pyobj = null;
public static NumPy Instance => _instance.Value;
private static Lazy<NumPy> _instance = new Lazy<NumPy>(() =>
{
var instance=new NumPy();
try
{
instance._pyobj = InstallAndImport();
}
catch (Exception)
{
// retry to fix the installation by forcing a repair.
instance._pyobj = InstallAndImport(force: true);
}
return instance;
}
);
private static PyObject InstallAndImport(bool force = false)
{
PythonEngine.Initialize();
var mod = Py.Import("numpy");
return mod;
}
public dynamic self => _pyobj;
private bool IsInitialized => _pyobj != null;
private NumPy() { }
public void Dispose()
{
self?.Dispose();
}
//auto-generated
public PyTuple ToTuple(Array input)
{
var array = new PyObject[input.Length];
for (int i = 0; i < input.Length; i++)
{
array[i]=ToPython(input.GetValue(i));
}
return new PyTuple(array);
}
//auto-generated
public PyObject ToPython(object obj)
{
if (obj == null) return Runtime.GetPyNone();
switch (obj)
{
// basic types
case int o: return new PyInt(o);
case long o: return new PyLong(o);
case float o: return new PyFloat(o);
case double o: return new PyFloat(o);
case string o: return new PyString(o);
case bool o: return ConverterExtension.ToPython(o);
case PyObject o: return o;
// sequence types
case Array o: return ToTuple(o);
// special types from 'ToPythonConversions'
case Shape o: return ToTuple(o.Dimensions);
case Slice o: return o.ToPython();
case PythonObject o: return o.PyObject;
default: throw new NotImplementedException($"Type is not yet supported: { obj.GetType().Name}. Add it to 'ToPythonConversions'");
}
}
//auto-generated
public T ToCsharp<T>(dynamic pyobj)
{
switch (typeof(T).Name)
{
// types from 'ToCsharpConversions'
case "Dtype": return (T)(object)new Dtype(pyobj);
case "NDarray": return (T)(object)new NDarray(pyobj);
case "NDarray`1":
switch (typeof(T).GenericTypeArguments[0].Name)
{
case "Byte": return (T)(object)new NDarray<byte>(pyobj);
case "Short": return (T)(object)new NDarray<short>(pyobj);
case "Boolean": return (T)(object)new NDarray<bool>(pyobj);
case "Int32": return (T)(object)new NDarray<int>(pyobj);
case "Int64": return (T)(object)new NDarray<long>(pyobj);
case "Single": return (T)(object)new NDarray<float>(pyobj);
case "Double": return (T)(object)new NDarray<double>(pyobj);
default: throw new NotImplementedException($"Type NDarray<{typeof(T).GenericTypeArguments[0].Name}> missing. Add it to 'ToCsharpConversions'");
}
break;
case "NDarray[]":
var po = pyobj as PyObject;
var len = po.Length();
var rv = new NDarray[len];
for (int i = 0; i < len; i++)
rv[i] = ToCsharp<NDarray>(po[i]);
return (T) (object) rv;
case "Matrix": return (T)(object)new Matrix(pyobj);
default:
try
{
return pyobj.As<T>();
}
catch (Exception e)
{
throw new NotImplementedException($"conversion from {typeof(T).Name} to {pyobj.__class__} not implemented", e);
return default(T);
}
}
}
//auto-generated
public T SharpToSharp<T>(object obj)
{
if (obj == null) return default(T);
switch (obj)
{
// from 'SharpToSharpConversions':
case Array a:
if (typeof(T)==typeof(NDarray)) return (T)(object)ConvertArrayToNDarray(a);
break;
}
throw new NotImplementedException($"Type is not yet supported: { obj.GetType().Name}. Add it to 'SharpToSharpConversions'");
}
//auto-generated: SpecialConversions
protected NDarray ConvertArrayToNDarray(Array a)
{
switch(a)
{
case bool[] arr: return np.array(arr);
case int[,] arr: return np.array(arr.Cast<int>().ToArray()).reshape(arr.GetLength(0), arr.GetLength(1));
case float[,] arr: return np.array(arr.Cast<float>().ToArray()).reshape(arr.GetLength(0), arr.GetLength(1));
case double[,] arr: return np.array(arr.Cast<double>().ToArray()).reshape(arr.GetLength(0), arr.GetLength(1));
case bool[,] arr: return np.array(arr.Cast<bool>().ToArray()).reshape(arr.GetLength(0), arr.GetLength(1));
default: throw new NotImplementedException($"Type {a.GetType()} not supported yet in ConvertArrayToNDarray.");
}
}
}
}