Rename PYBIND11_DTYPE to PYBIND11_NUMPY_DTYPE

docs/advanced.rst

@@ -1362,7 +1362,7 @@ NumPy structured types
 ======================
 
 In order for ``py::array_t`` to work with structured (record) types, we first need
-to register the memory layout of the type. This can be done via ``PYBIND11_DTYPE``
+to register the memory layout of the type. This can be done via ``PYBIND11_NUMPY_DTYPE``
 macro which expects the type followed by field names:
 
 .. code-block:: cpp
@@ -1377,8 +1377,8 @@ macro which expects the type followed by field names:
         A a;
     };
 
-    PYBIND11_DTYPE(A, x, y);
-    PYBIND11_DTYPE(B, z, a);
+    PYBIND11_NUMPY_DTYPE(A, x, y);
+    PYBIND11_NUMPY_DTYPE(B, z, a);
 
     /* now both A and B can be used as template arguments to py::array_t */
 

example/example20.cpp

@@ -101,9 +101,9 @@ void print_dtypes() {
 }
 
 void init_ex20(py::module &m) {
-    PYBIND11_DTYPE(SimpleStruct, x, y, z);
-    PYBIND11_DTYPE(PackedStruct, x, y, z);
-    PYBIND11_DTYPE(NestedStruct, a, b);
+    PYBIND11_NUMPY_DTYPE(SimpleStruct, x, y, z);
+    PYBIND11_NUMPY_DTYPE(PackedStruct, x, y, z);
+    PYBIND11_NUMPY_DTYPE(NestedStruct, a, b);
 
     m.def("create_rec_simple", &create_recarray<SimpleStruct>);
     m.def("create_rec_packed", &create_recarray<PackedStruct>);

include/pybind11/numpy.h

@@ -327,7 +327,7 @@ private:
 #define PYBIND11_MAP_LIST(f, t, ...) \
     PYBIND11_EVAL (PYBIND11_MAP_LIST1 (f, t, __VA_ARGS__, (), 0))
 
-#define PYBIND11_DTYPE(Type, ...) \
+#define PYBIND11_NUMPY_DTYPE(Type, ...) \
     ::pybind11::detail::npy_format_descriptor<Type>::register_dtype \
         ({PYBIND11_MAP_LIST (PYBIND11_FIELD_DESCRIPTOR, Type, __VA_ARGS__)})