MAINT: Extract `_is_from_ctypes` to a header so that it can be shared

1 files changed, 49 insertions, 0 deletions

diff --git a/numpy/core/src/common/npy_ctypes.h b/numpy/core/src/common/npy_ctypes.h
new file mode 100644
index 000000000..f26db9e05
--- /dev/null
+++ b/numpy/core/src/common/npy_ctypes.h
@@ -0,0 +1,49 @@
+#ifndef NPY_CTYPES_H
+#define NPY_CTYPES_H
+
+#include <Python.h>
+
+#include "npy_import.h"
+
+/*
+ * Check if a python type is a ctypes class.
+ *
+ * Works like the Py<type>_Check functions, returning true if the argument
+ * looks like a ctypes object.
+ *
+ * This entire function is just a wrapper around the Python function of the
+ * same name.
+ */
+NPY_INLINE static int
+npy_ctypes_check(PyTypeObject *obj)
+{
+    static PyObject *py_func = NULL;
+    PyObject *ret_obj;
+    int ret;
+
+    npy_cache_import("numpy.core._internal", "npy_ctypes_check", &py_func);
+    if (py_func == NULL) {
+        goto fail;
+    }
+
+    ret_obj = PyObject_CallFunctionObjArgs(py_func, (PyObject *)obj, NULL);
+    if (ret_obj == NULL) {
+        goto fail;
+    }
+
+    ret = PyObject_IsTrue(ret_obj);
+    if (ret == -1) {
+        goto fail;
+    }
+
+    return ret;
+
+fail:
+    /* If the above fails, then we should just assume that the type is not from
+     * ctypes
+     */
+    PyErr_Clear();
+    return 0;
+}
+
+#endif