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Add explicit tests for vararg call
  • Loading branch information
filmor committed May 30, 2022
commit 262a568631113ff7e05222c261d3a1c1c405d24c
65 changes: 34 additions & 31 deletions src/embed_tests/NumPyTests.cs
Original file line number Diff line number Diff line change
@@ -1,6 +1,8 @@
using System;
using System.Collections.Generic;

using NUnit.Framework;

using Python.Runtime;
using Python.Runtime.Codecs;

Expand All @@ -24,17 +26,6 @@ public void Dispose()
[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;
Expand All @@ -55,40 +46,52 @@ public void TestReadme()
[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((2, 2), ndarray.GetAttr("shape").As<(int, int)>());
Assert.AreEqual(1, ndarray[(0, 0).ToPython()].InvokeMethod("__int__").As<int>());
Assert.AreEqual(array[1, 0], ndarray[(1, 0).ToPython()].InvokeMethod("__int__").As<int>());
}

[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<long>());
Assert.AreEqual(array[1, 0], ndarray[(1, 0).ToPython()].InvokeMethod("__int__").As<long>());
}

[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<double>(), 0.001);
Assert.AreEqual(-1.2, grad[1].sum().__float__().As<double>(), 0.001);
Assert.AreEqual(4.125, grad2[0].sum().__float__().As<double>(), 0.001);
Assert.AreEqual(-1.2, grad2[1].sum().__float__().As<double>(), 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;
}
}
}

}
}