numpy · charris · Oct 26, 2018 · Oct 24, 2018 · Oct 24, 2018 · Oct 25, 2018
diff --git a/numpy/core/_dtype_ctypes.py b/numpy/core/_dtype_ctypes.py
@@ -0,0 +1,68 @@
+"""
+Conversion from ctypes to dtype.
+
+In an ideal world, we could acheive this through the PEP3118 buffer protocol,
+something like::
+
+    def dtype_from_ctypes_type(t):
+        # needed to ensure that the shape of `t` is within memoryview.format
+        class DummyStruct(ctypes.Structure):
+            _fields_ = [('a', t)]
+
+        # empty to avoid memory allocation
+        ctype_0 = (DummyStruct * 0)()
+        mv = memoryview(ctype_0)
+
+        # convert the struct, and slice back out the field
+        return _dtype_from_pep3118(mv.format)['a']
+
+Unfortunately, this fails because:
+
+* ctypes cannot handle length-0 arrays with PEP3118 (bpo-32782)
+* PEP3118 cannot represent unions, but both numpy and ctypes can
+* ctypes cannot handle big-endian structs with PEP3118 (bpo-32780)
+"""
+import _ctypes
+import ctypes
+
+import numpy as np
+
+
+def _from_ctypes_array(t):
+    return np.dtype((dtype_from_ctypes_type(t._type_), (t._length_,)))
+
+
+def _from_ctypes_structure(t):
+    # TODO: gh-10533, gh-10532
+    fields = []
+    for item in t._fields_:
+        if len(item) > 2:
+            raise TypeError(
+                "ctypes bitfields have no dtype equivalent")
+        fname, ftyp = item
+        fields.append((fname, dtype_from_ctypes_type(ftyp)))
+
+    # by default, ctypes structs are aligned
+    return np.dtype(fields, align=True)
+
+
+def dtype_from_ctypes_type(t):
+    """
+    Construct a dtype object from a ctypes type
+    """
+    if issubclass(t, _ctypes.Array):
+        return _from_ctypes_array(t)
+    elif issubclass(t, _ctypes._Pointer):
+        raise TypeError("ctypes pointers have no dtype equivalent")
+    elif issubclass(t, _ctypes.Structure):
+        return _from_ctypes_structure(t)
+    elif issubclass(t, _ctypes.Union):
+        # TODO
+        raise NotImplementedError(
+            "conversion from ctypes.Union types like {} to dtype"
+            .format(t.__name__))
+    elif isinstance(t._type_, str):
+        return np.dtype(t._type_)
+    else:
+        raise NotImplementedError(
+            "Unknown ctypes type {}".format(t.__name__))
diff --git a/numpy/core/_internal.py b/numpy/core/_internal.py
@@ -796,13 +796,13 @@ def _ufunc_doc_signature_formatter(ufunc):
     )
 
 
-def _is_from_ctypes(obj):
-    # determine if an object comes from ctypes, in order to work around
+def npy_ctypes_check(cls):
+    # determine if a class comes from ctypes, in order to work around
     # a bug in the buffer protocol for those objects, bpo-10746
     try:
         # ctypes class are new-st
8000
yle, so have an __mro__. This probably fails
         # for ctypes classes with multiple inheritance.
-        ctype_base = type(obj).__mro__[-2]
+        ctype_base = cls.__mro__[-2]
         # right now, they're part of the _ctypes module
         return 'ctypes' in ctype_base.__module__
     except Exception:

diff --git a/numpy/core/setup.py b/numpy/core/setup.py
@@ -731,7 +731,9 @@ def get_mathlib_info(*args):
             join('src', 'common', 'lowlevel_strided_loops.h'),
             join('src', 'common', 'mem_overlap.h'),
             join('src', 'common', 'npy_config.h'),
+            join('src', 'common', 'npy_ctypes.h'),
             join('src', 'common', 'npy_extint128.h'),
+            join('src', 'common', 'npy_import.h'),
             join('src', 'common', 'npy_longdouble.h'),
             join('src', 'common', 'templ_common.h.src'),
             join('src', 'common', 'ucsnarrow.h'),

diff --git a/numpy/core/src/common/npy_ctypes.h 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
diff --git a/numpy/core/src/multiarray/ctors.c b/numpy/core/src/multiarray/ctors.c
@@ -11,7 +11,7 @@
 
 #include "npy_config.h"
 
-#include "npy_import.h"
+#include "npy_ctypes.h"
 #include "npy_pycompat.h"
 #include "multiarraymodule.h"
 
@@ -1381,15 +1381,7 @@ _array_from_buffer_3118(PyObject *memoryview)
          * Note that even if the above are fixed in master, we have to drop the
          * early patch versions of python to actually make use of the fixes.
          */
-
-        int is_ctypes = _is_from_ctypes(view->obj);
-        if (is_ctypes < 0) {
-            /* This error is not useful */
-            PyErr_WriteUnraisable(view->obj);
-            is_ctypes = 0;
-        }
-
-        if (!is_ctypes) {
+        if (!npy_ctypes_check(Py_TYPE(view->obj))) {
             /* This object has no excuse for a broken PEP3118 buffer */
             PyErr_Format(
                     PyExc_RuntimeError,

diff --git a/numpy/core/src/multiarray/descriptor.c b/numpy/core/src/multiarray/descriptor.c
@@ -10,7 +10,7 @@
 #include "numpy/arrayscalars.h"
 
 #include "npy_config.h"
-
+#include "npy_ctypes.h"
 #include "npy_pycompat.h"
 
 #include "_datetime.h"
@@ -54,79 +54,46 @@ Borrowed_PyMapping_GetItemString(PyObject *o, char *key)
     return ret;
 }
 
-/*
- * Creates a dtype object from ctypes inputs.
- *
- * Returns a new reference to a dtype object, or NULL
- * if this is not possible. When it returns NULL, it does
- * not set a Python exception.
- */
 static PyArray_Descr *
-_arraydescr_fromctypes(PyObject *obj)
+_arraydescr_from_ctypes_type(PyTypeObject *type)
 {
-    PyObject *dtypedescr;
-    PyArray_Descr *newdescr;
-    int ret;
+    PyObject *_numpy_dtype_ctypes;
+    PyObject *res;
 
-    /* Understand basic ctypes */
-    dtypedescr = PyObject_GetAttrString(obj, "_type_");
-    PyErr_Clear();
-    if (dtypedescr) {
-        ret = PyArray_DescrConverter(dtypedescr, &newdescr);
-        Py_DECREF(dtypedescr);
-        if (ret == NPY_SUCCEED) {
-            PyObject *length;
-            /* Check for ctypes arrays */
-            length = PyObject_GetAttrString(obj, "_length_");
-            PyErr_Clear();
-            if (length) {
-                /* derived type */
-                PyObject *newtup;
-                PyArray_Descr *derived;
-                newtup = Py_BuildValue("N(N)", newdescr, length);
-                ret = PyArray_DescrConverter(newtup, &derived);
-                Py_DECREF(newtup);
-                if (ret == NPY_SUCCEED) {
-                    return derived;
-                }
-                PyErr_Clear();
-                return NULL;
-            }
-            return newdescr;
-        }
-        PyErr_Clear();
+    /* Call the python function of the same name. */
+    _numpy_dtype_ctypes = PyImport_ImportModule("numpy.core._dtype_ctypes");
+    if (_numpy_dtype_ctypes == NULL) {
         return NULL;
     }
-    /* Understand ctypes structures --
-       bit-fields are not supported
-       automatically aligns */
-    dtypedescr = PyObject_GetAttrString(obj, "_fields_");
-    PyErr_Clear();
-    if (dtypedescr) {
-        ret = PyArray_DescrAlignConverter(dtypedescr, &newdescr);
-        Py_DECREF(dtypedescr);
-        if (ret == NPY_SUCCEED) {
-            return newdescr;
-        }
-        PyErr_Clear();
+    res = PyObject_CallMethod(_numpy_dtype_ctypes, "dtype_from_ctypes_type", "O", (PyObject *)type);
+    Py_DECREF(_numpy_dtype_ctypes);
+    if (res == NULL) {
+        return NULL;
     }
 
-    return NULL;
+    /*
+     * sanity check that dtype_from_ctypes_type returned the right type,
+     * since getting it wrong would give segfaults.
+     */
+    if (!PyObject_TypeCheck(res, &PyArrayDescr_Type)) {
+        Py_DECREF(res);
+        PyErr_BadInternalCall();
+        return NULL;
+    }
+
+    return (PyArray_Descr *)res;
 }
 
 /*
- * This function creates a dtype object when:
- *  - The object has a "dtype" attribute, and it can be converted
- *    to a dtype object.
- *  - The object is a ctypes type object, including array
- *    and structure types.
+ * This function creates a dtype object when the object has a "dtype" attribute,
+ * and it can be converted to a dtype object.
  *
  * Returns a new reference to a dtype object, or NULL
  * if this is not possible. When it returns NULL, it does
  * not set a Python exception.
  */
 NPY_NO_EXPORT PyArray_Descr *
-_arraydescr_fromobj(PyObject *obj)
+_arraydescr_from_dtype_attr(PyObject *obj)
 {
     PyObject *dtypedescr;
     PyArray_Descr *newdescr = NULL;
@@ -135,15 +102,18 @@ _arraydescr_fromobj(PyObject *obj)
     /* For arbitrary objects that have a "dtype" attribute */
     dtypedescr = PyObject_GetAttrString(obj, "dtype");
     PyErr_Clear();
-    if (dtypedescr != NULL) {
-        ret = PyArray_DescrConverter(dtypedescr, &newdescr);
-        Py_DECREF(dtypedescr);
-        if (ret == NPY_SUCCEED) {
-            return newdescr;
-        }
+    if (dtypedescr == NULL) {
+        return NULL;
+    }
+
+    ret = PyArray_DescrConverter(dtypedescr, &newdescr);
+    Py_DECREF(dtypedescr);
+    if (ret != NPY_SUCCEED) {
         PyErr_Clear();
+        return NULL;
     }
-    return _arraydescr_fromctypes(obj);
+
+    return newdescr;
 }
 
 /*
@@ -1423,10 +1393,20 @@ PyArray_DescrConverter(PyObject *obj, PyArray_Descr **at)
             check_num = NPY_VOID;
         }
         else {
-            *at = _arraydescr_fromobj(obj);
+            *at = _arraydescr_from_dtype_attr(obj);
             if (*at) {
                 return NPY_SUCCEED;
             }
+
+            /*
+             * Note: this comes after _arraydescr_from_dtype_attr because the ctypes
+             * type might override the dtype if numpy does not otherwise
+             * support it.
+             */
+            if (npy_ctypes_check((PyTypeObject *)obj)) {
+                *at = _arraydescr_from_ctypes_type((PyTypeObject *)obj);
+                return *at ? NPY_SUCCEED : NPY_FAIL;
+            }
         }
         goto finish;
     }
@@ -1596,13 +1576,23 @@ PyArray_DescrConverter(PyObject *obj, PyArray_Descr **at)
         goto fail;
     }
     else {
-        *at = _arraydescr_fromobj(obj);
+        *at = _arraydescr_from_dtype_attr(obj);
         if (*at) {
             return NPY_SUCCEED;
         }
         if (PyErr_Occurred()) {
             return NPY_FAIL;
         }
+
+        /*
+         * Note: this comes after _arraydescr_from_dtype_attr because the ctypes
+         * type might override the dtype if numpy does not otherwise
+         * support it.
+         */
+        if (npy_ctypes_check(Py_TYPE(obj))) {
+            *at = _arraydescr_from_ctypes_type(Py_TYPE(obj));
+            return *at ? NPY_SUCCEED : NPY_FAIL;
+        }
         goto fail;
     }
     if (PyErr_Occurred()) {

diff --git a/numpy/core/src/multiarray/descriptor.h b/numpy/core/src/multiarray/descriptor.h
@@ -8,7 +8,7 @@ NPY_NO_EXPORT PyObject *
 array_set_typeDict(PyObject *NPY_UNUSED(ignored), PyObject *args);
 
 NPY_NO_EXPORT PyArray_Descr *
-_arraydescr_fromobj(PyObject *obj);
+_arraydescr_from_dtype_attr(PyObject *obj);
 
 
 NPY_NO_EXPORT int

diff --git a/numpy/core/src/multiarray/scalarapi.c b/numpy/core/src/multiarray/scalarapi.c
@@ -471,7 +471,7 @@ PyArray_DescrFromTypeObject(PyObject *type)
     /* Do special thing for VOID sub-types */
     if (PyType_IsSubtype((PyTypeObject *)type, &PyVoidArrType_Type)) {
         new = PyArray_DescrNewFromType(NPY_VOID);
-        conv = _arraydescr_fromobj(type);
+        conv = _arraydescr_from_dtype_attr(type);
         if (conv) {
             new->fields = conv->fields;
             Py_INCREF(new->fields);