WIP: Make things work by using AdaptFlexibleDType (without obj) for now

This will have to use the new casting logic at some point, but right
now adaptflexible dtype is de-facto the casting logic (or casting
with "S0" which hopefully gives the same thing normally, but...

1 files changed, 4 insertions, 0 deletions

diff --git a/numpy/core/include/numpy/ndarraytypes.h b/numpy/core/include/numpy/ndarraytypes.h
index 06f3a303d..856d233ab 100644
--- a/numpy/core/include/numpy/ndarraytypes.h
+++ b/numpy/core/include/numpy/ndarraytypes.h
@@ -1825,6 +1825,9 @@ typedef void (PyDataMem_EventHookFunc)(void *inp, void *outp, size_t size,
     typedef PyArray_Descr *(discover_descr_from_pyobject_function)(
             PyArray_DTypeMeta *cls, PyObject *obj);
 
+    typedef int (is_known_scalar_function)(
+            PyArray_DTypeMeta *cls, PyObject *obj);
+
     /*
      * While NumPy DTypes would not need to be heap types the plan is to
      * make DTypes available in Python at which point they will be heap types.
@@ -1877,6 +1880,7 @@ typedef void (PyDataMem_EventHookFunc)(void *inp, void *outp, size_t size,
 
         /* DType methods, these could be moved into its own struct */
         discover_descr_from_pyobject_function *discover_descr_from_pyobject;
+        is_known_scalar_function *is_known_scalar;
     };
 
     #define NPY_DTYPE(descr) ((PyArray_DTypeMeta *)Py_TYPE(descr))