ENH: add _is_numeric attribute for DType classes

3 files changed, 14 insertions, 4 deletions

diff --git a/numpy/core/src/multiarray/dtypemeta.c b/numpy/core/src/multiarray/dtypemeta.c
index 437319b3b..f268ba2cb 100644
--- a/numpy/core/src/multiarray/dtypemeta.c
+++ b/numpy/core/src/multiarray/dtypemeta.c
@@ -899,6 +899,10 @@ dtypemeta_wrap_legacy_descriptor(PyArray_Descr *descr)
         }
     }
 
+    if (PyTypeNum_ISNUMBER(descr->type_num)) {
+        dtype_class->flags |= NPY_DT_NUMERIC;
+    }
+
     if (_PyArray_MapPyTypeToDType(dtype_class, descr->typeobj,
             PyTypeNum_ISUSERDEF(dtype_class->type_num)) < 0) {
         Py_DECREF(dtype_class);
@@ -927,6 +931,11 @@ dtypemeta_get_parametric(PyArray_DTypeMeta *self) {
     return PyBool_FromLong(NPY_DT_is_parametric(self));
 }
 
+static PyObject *
+dtypemeta_get_is_numeric(PyArray_DTypeMeta *self) {
+    return PyBool_FromLong(NPY_DT_is_numeric(self));
+}
+
 /*
  * Simple exposed information, defined for each DType (class).
  */
@@ -934,6 +943,7 @@ static PyGetSetDef dtypemeta_getset[] = {
         {"_abstract", (getter)dtypemeta_get_abstract, NULL, NULL, NULL},
         {"_legacy", (getter)dtypemeta_get_legacy, NULL, NULL, NULL},
         {"_parametric", (getter)dtypemeta_get_parametric, NULL, NULL, NULL},
+        {"_is_numeric", (getter)dtypemeta_get_is_numeric, NULL, NULL, NULL},
         {NULL, NULL, NULL, NULL, NULL}
 };
 
diff --git a/numpy/core/src/multiarray/dtypemeta.h b/numpy/core/src/multiarray/dtypemeta.h
index db16fe04b..8ca2e26d4 100644
--- a/numpy/core/src/multiarray/dtypemeta.h
+++ b/numpy/core/src/multiarray/dtypemeta.h
@@ -7,10 +7,9 @@ extern "C" {
 
 #include "numpy/_dtype_api.h"
 
-/* DType flags, currently private, since we may just expose functions */
+/* DType flags, currently private, since we may just expose functions 
+   Other publicly visible flags are in _dtype_api.h                   */
 #define NPY_DT_LEGACY 1 << 0
-#define NPY_DT_ABSTRACT 1 << 1
-#define NPY_DT_PARAMETRIC 1 << 2
 
 
 typedef struct {
@@ -53,6 +52,7 @@ typedef struct {
 #define NPY_DT_is_legacy(dtype) (((dtype)->flags & NPY_DT_LEGACY) != 0)
 #define NPY_DT_is_abstract(dtype) (((dtype)->flags & NPY_DT_ABSTRACT) != 0)
 #define NPY_DT_is_parametric(dtype) (((dtype)->flags & NPY_DT_PARAMETRIC) != 0)
+#define NPY_DT_is_numeric(dtype) (((dtype)->flags & NPY_DT_NUMERIC) != 0)
 #define NPY_DT_is_user_defined(dtype) (((dtype)->type_num == -1))
 
 /*
diff --git a/numpy/core/src/umath/_scaled_float_dtype.c b/numpy/core/src/umath/_scaled_float_dtype.c
index 9bcac8114..c26ace9f1 100644
--- a/numpy/core/src/umath/_scaled_float_dtype.c
+++ b/numpy/core/src/umath/_scaled_float_dtype.c
@@ -248,7 +248,7 @@ static PyArray_DTypeMeta PyArray_SFloatDType = {{{
     }},
     .type_num = -1,
     .scalar_type = NULL,
-    .flags = NPY_DT_PARAMETRIC,
+    .flags = NPY_DT_PARAMETRIC | NPY_DT_NUMERIC,
     .dt_slots = &sfloat_slots,
 };