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()
{
dynamic np;
try
{
np = Py.Import("numpy");
}
catch (PythonException)
{
Assert.Inconclusive("Numpy or dependency not installed");
return;
}
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()
{
PyObject np;
try {
np = Py.Import("numpy");
} catch (PythonException) {
Assert.Inconclusive("Numpy or dependency not installed");
return;
}
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()
{
PyObject np;
try
{
np = Py.Import("numpy");
}
catch (PythonException)
{
Assert.Inconclusive("Numpy or dependency not installed");
return;
}
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());
}
}
}