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Incref descriptors properly when creating arrays

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This commit is contained in:
Ivan Smirnov 2016-06-22 00:33:56 +01:00
parent 669e14269d
commit 2a7acb6d55
3 changed files with 16 additions and 9 deletions
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12
example/example20.py
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@ -29,12 +29,10 @@ for func, dtype in [(create_rec_simple, simple_dtype), (create_rec_packed, packe
check_eq(arr, [(False, 0, 0.0), (True, 1, 1.5), (False, 2, 3.0)], simple_dtype)
check_eq(arr, [(False, 0, 0.0), (True, 1, 1.5), (False, 2, 3.0)], packed_dtype)
# uncomment lines below to cause a segfault upon exit in Py_Finalize :(
# if dtype == simple_dtype:
# print_rec_simple(arr)
# else:
# print_rec_packed(arr)
if dtype == simple_dtype:
print_rec_simple(arr)
else:
print_rec_packed(arr)
nested_dtype = np.dtype([('a', simple_dtype), ('b', packed_dtype)])
@ -47,4 +45,4 @@ assert arr.dtype == nested_dtype
check_eq(arr, [((False, 0, 0.0), (True, 1, 1.5)),
((True, 1, 1.5), (False, 2, 3.0)),
((False, 2, 3.0), (True, 3, 4.5))], nested_dtype)
# print_rec_nested(arr)
print_rec_nested(arr)

9
example/example20.ref
View File

@ -1,3 +1,12 @@
T{?:x:xxxI:y:f:z:}
T{?:x:=I:y:f:z:}
T{T{?:x:xxxI:y:f:z:}:a:T{?:x:=I:y:f:z:}:b:}
0,0,0
1,1,1.5
0,2,3
0,0,0
1,1,1.5
0,2,3
0,0,0|1,1,1.5
1,1,1.5|0,2,3
0,2,3|1,3,4.5

4
include/pybind11/numpy.h
View File

@ -96,7 +96,7 @@ public:
template <typename Type> array(size_t size, const Type *ptr) {
API& api = lookup_api();
PyObject *descr = detail::npy_format_descriptor<Type>::descr();
PyObject *descr = object(detail::npy_format_descriptor<Type>::descr(), true).release().ptr();
Py_intptr_t shape = (Py_intptr_t) size;
object tmp = object(api.PyArray_NewFromDescr_(
api.PyArray_Type_, descr, 1, &shape, nullptr, (void *) ptr, 0, nullptr), false);
@ -147,7 +147,7 @@ public:
if (ptr == nullptr)
return nullptr;
API &api = lookup_api();
PyObject *descr = detail::npy_format_descriptor<T>::descr();
PyObject *descr = object(detail::npy_format_descriptor<T>::descr(), true).release().ptr();
PyObject *result = api.PyArray_FromAny_(ptr, descr, 0, 0, API::NPY_ENSURE_ARRAY_ | ExtraFlags, nullptr);
if (!result)
PyErr_Clear();