From c79706ff4ce591df2151db5504d3c224f3c9965f Mon Sep 17 00:00:00 2001
From: Andreas Sandberg <andreas.sandberg@arm.com>
Date: Mon, 27 Feb 2017 13:17:51 +0000
Subject: ext: Add pybind rev f4b81b3
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Change-Id: I52e4fc9ebf2f59da57d8cf8f3e37cc79598c2f5f
Signed-off-by: Andreas Sandberg <andreas.sandberg@arm.com>
Reviewed-by: Andreas Hansson <andreas.hansson@arm.com>
Reviewed-by: Curtis Dunham <curtis.dunham@arm.com>
Reviewed-on: https://gem5-review.googlesource.com/2229
Reviewed-by: Tony Gutierrez <anthony.gutierrez@amd.com>
Reviewed-by: Jason Lowe-Power <jason@lowepower.com>
Reviewed-by: Pierre-Yves Péneau <pierre-yves.peneau@lirmm.fr>
---
 ext/pybind11/tests/test_numpy_vectorize.cpp | 41 +++++++++++++++++++++++++++++
 1 file changed, 41 insertions(+)
 create mode 100644 ext/pybind11/tests/test_numpy_vectorize.cpp

(limited to 'ext/pybind11/tests/test_numpy_vectorize.cpp')

diff --git a/ext/pybind11/tests/test_numpy_vectorize.cpp b/ext/pybind11/tests/test_numpy_vectorize.cpp
new file mode 100644
index 000000000..6d94db2a1
--- /dev/null
+++ b/ext/pybind11/tests/test_numpy_vectorize.cpp
@@ -0,0 +1,41 @@
+/*
+    tests/test_numpy_vectorize.cpp -- auto-vectorize functions over NumPy array
+    arguments
+
+    Copyright (c) 2016 Wenzel Jakob <wenzel.jakob@epfl.ch>
+
+    All rights reserved. Use of this source code is governed by a
+    BSD-style license that can be found in the LICENSE file.
+*/
+
+#include "pybind11_tests.h"
+#include <pybind11/numpy.h>
+
+double my_func(int x, float y, double z) {
+    py::print("my_func(x:int={}, y:float={:.0f}, z:float={:.0f})"_s.format(x, y, z));
+    return (float) x*y*z;
+}
+
+std::complex<double> my_func3(std::complex<double> c) {
+    return c * std::complex<double>(2.f);
+}
+
+test_initializer numpy_vectorize([](py::module &m) {
+    // Vectorize all arguments of a function (though non-vector arguments are also allowed)
+    m.def("vectorized_func", py::vectorize(my_func));
+
+    // Vectorize a lambda function with a capture object (e.g. to exclude some arguments from the vectorization)
+    m.def("vectorized_func2",
+        [](py::array_t<int> x, py::array_t<float> y, float z) {
+            return py::vectorize([z](int x, float y) { return my_func(x, y, z); })(x, y);
+        }
+    );
+
+    // Vectorize a complex-valued function
+    m.def("vectorized_func3", py::vectorize(my_func3));
+
+    /// Numpy function which only accepts specific data types
+    m.def("selective_func", [](py::array_t<int, py::array::c_style>) { return "Int branch taken."; });
+    m.def("selective_func", [](py::array_t<float, py::array::c_style>) { return "Float branch taken."; });
+    m.def("selective_func", [](py::array_t<std::complex<float>, py::array::c_style>) { return "Complex float branch taken."; });
+});
-- 
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