array numpy buffer protocol

libsrc/core/python_ngcore.cpp

@@ -7,7 +7,7 @@ using std::string;
 
 namespace ngcore
 {
-
+  bool ngcore_have_numpy = false;
   void SetFlag(Flags &flags, string s, py::object value) 
   {
     if (py::isinstance<py::dict>(value))

libsrc/core/python_ngcore.hpp

@@ -4,6 +4,7 @@
 #include "ngcore_api.hpp" // for operator new
 #include <pybind11/pybind11.h>
 #include <pybind11/operators.h>
+#include <pybind11/numpy.h>
 
 #include "array.hpp"
 #include "archive.hpp"
@@ -13,6 +14,7 @@ namespace py = pybind11;
 
 namespace ngcore
 {
+  NGCORE_API extern bool ngcore_have_numpy;
 
   template<typename T>
   Array<T> makeCArray(const py::object& obj)
@@ -29,6 +31,20 @@ namespace ngcore
     return arr;
   }
 
+  namespace detail
+  {
+    template<typename T>
+    struct HasPyFormat
+    {
+    private:
+      template<typename T2>
+      static auto check(T2*) -> std::enable_if_t<std::is_same_v<decltype(std::declval<py::format_descriptor<T2>>().format()), std::string>, std::true_type>;
+      static auto check(...) -> std::false_type;
+    public:
+      static constexpr bool value = decltype(check((T*) nullptr))::value;
+    };
+  } // namespace detail
+  
   template <typename T, typename TIND=typename FlatArray<T>::index_type>
   void ExportArray (py::module &m)
   {
@@ -36,7 +52,8 @@ namespace ngcore
       using TArray = Array<T, TIND>;
       std::string suffix = std::string(typeid(T).name()) + "_" + typeid(TIND).name();
       std::string fname = std::string("FlatArray_") + suffix;
-      py::class_<TFlat>(m, fname.c_str())
+      auto flatarray_class = py::class_<TFlat>(m, fname.c_str(),
+                                               py::buffer_protocol())
         .def ("__len__", [] ( TFlat &self ) { return self.Size(); } )
         .def ("__getitem__",
               [](TFlat & self, TIND i) -> T&
@@ -77,6 +94,30 @@ namespace ngcore
 
       ;
 
+      if constexpr (detail::HasPyFormat<T>::value)
+        {
+          if(ngcore_have_numpy && !py::detail::npy_format_descriptor<T>::dtype().is_none())
+            {
+              flatarray_class
+                .def_buffer([](TFlat& self)
+                            {
+                              return py::buffer_info(
+                                self.Addr(0),
+                                sizeof(T),
+                                py::format_descriptor<T>::format(),
+                                1,
+                                { self.Size() },
+                                { sizeof(T) * (self.Addr(1) - self.Addr(0)) });
+                            })
+                .def("NumPy", [](py::object self)
+                              {
+                                return py::module::import("numpy")
+                                  .attr("frombuffer")(self, py::detail::npy_format_descriptor<T>::dtype());
+                              })
+                ;
+              }
+          }
+
       std::string aname = std::string("Array_") + suffix;
       py::class_<TArray, TFlat>(m, aname.c_str())
         .def(py::init([] (size_t n) { return new TArray(n); }),py::arg("n"), "Makes array of given length")

libsrc/core/python_ngcore_export.cpp

@@ -2,13 +2,18 @@
 #include "bitarray.hpp"
 #include "taskmanager.hpp"
 
-
 using namespace ngcore;
 using namespace std;
 using namespace pybind11::literals;
 
 PYBIND11_MODULE(pyngcore, m) // NOLINT
 {
+  try
+    {
+      auto numpy = py::module::import("numpy");
+      ngcore_have_numpy = !numpy.is_none();
+    }
+  catch(...) {}
   ExportArray<int>(m);
   ExportArray<unsigned>(m);
   ExportArray<size_t>(m);

tests/pytest/test_array.py

@@ -0,0 +1,17 @@
+from pyngcore import *
+from numpy import sort, array
+
+def test_array_numpy():
+    a = Array_i_m(5)
+    a[:] = 0
+    a[3:] = 2
+    assert(sum(a) == 4)
+    a[1] = 5
+    b = sort(a)
+    assert(all(b == array([0,0,2,2,5])))
+    assert(all(a == array([0,5,0,2,2])))
+    a.NumPy().sort()
+    assert(all(a == array([0,0,2,2,5])))
+
+if __name__ == "__main__":
+    test_array_numpy()