using System;
using System.Collections.Generic;
using NUnit.Framework;
using Python.Runtime;
using Python.Runtime.Codecs;
namespace Python.EmbeddingTest
{
public class NumPyTests
{
[OneTimeSetUp]
public void SetUp()
{
PythonEngine.Initialize();
TupleCodec.Register();
}
[OneTimeTearDown]
public void Dispose()
{
PythonEngine.Shutdown();
}
[Test]
public void TestReadme()
{
Assert.AreEqual("1.0", np.cos(np.pi * 2).ToString());
dynamic sin = np.sin;
StringAssert.StartsWith("-0.95892", sin(5).ToString());
double c = (double)(np.cos(5) + sin(5));
Assert.AreEqual(-0.675262, c, 0.01);
dynamic a = np.array(new List { 1, 2, 3 });
Assert.AreEqual("float64", a.dtype.ToString());
dynamic b = np.array(new List { 6, 5, 4 }, Py.kw("dtype", np.int32));
Assert.AreEqual("int32", b.dtype.ToString());
Assert.AreEqual("[ 6. 10. 12.]", (a * b).ToString().Replace(" ", " "));
}
[Test]
public void MultidimensionalNumPyArray()
{
var array = new[,] { { 1, 2 }, { 3, 4 } };
var ndarray = np.InvokeMethod("asarray", array.ToPython());
Assert.AreEqual((2, 2), ndarray.GetAttr("shape").As<(int, int)>());
Assert.AreEqual(1, ndarray[(0, 0).ToPython()].InvokeMethod("__int__").As());
Assert.AreEqual(array[1, 0], ndarray[(1, 0).ToPython()].InvokeMethod("__int__").As());
}
[Test]
public void Int64Array()
{
var array = new long[,] { { 1, 2 }, { 3, 4 } };
var ndarray = np.InvokeMethod("asarray", array.ToPython());
Assert.AreEqual((2, 2), ndarray.GetAttr("shape").As<(int, int)>());
Assert.AreEqual(1, ndarray[(0, 0).ToPython()].InvokeMethod("__int__").As());
Assert.AreEqual(array[1, 0], ndarray[(1, 0).ToPython()].InvokeMethod("__int__").As());
}
[Test]
public void VarArg()
{
dynamic zX = np.array(new[,] { { 1, 2, 3 }, { 4, 5, 6 }, { 8, 9, 0 } });
dynamic grad = np.gradient(zX, 4.0, 5.0);
dynamic grad2 = np.InvokeMethod("gradient", new PyObject[] {zX, new PyFloat(4.0), new PyFloat(5.0)});
Assert.AreEqual(4.125, grad[0].sum().__float__().As(), 0.001);
Assert.AreEqual(-1.2, grad[1].sum().__float__().As(), 0.001);
Assert.AreEqual(4.125, grad2[0].sum().__float__().As(), 0.001);
Assert.AreEqual(-1.2, grad2[1].sum().__float__().As(), 0.001);
}
#pragma warning disable IDE1006
dynamic np
{
get
{
try
{
return Py.Import("numpy");
}
catch (PythonException)
{
Assert.Inconclusive("Numpy or dependency not installed");
return null;
}
}
}
}
}