Commit 5658d1f1 authored by Dag Sverre Seljebotn's avatar Dag Sverre Seljebotn

Removed dead numpy-specific hack

parent cd6fb6ad
......@@ -490,14 +490,6 @@ def use_py2_buffer_functions(env):
find_buffer_types(env)
# For now, hard-code numpy imported as "numpy"
# try:
# ndarrtype = env.entries[u'numpy'].as_module.entries['ndarray'].type
# types.append((ndarrtype.typeptr_cname, "numpy_getbuffer", "numpy_releasebuffer"))
# env.use_utility_code(numpy_code)
# except KeyError:
# pass
code = dedent("""
#if PY_VERSION_HEX < 0x02060000
static int PyObject_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {
......@@ -630,52 +622,3 @@ static void __Pyx_RaiseBufferFallbackError(void) {
"""]
numpy_code = ["""
static int numpy_getbuffer(PyObject *obj, Py_buffer *view, int flags);
static void numpy_releasebuffer(PyObject *obj, Py_buffer *view);
""","""
static int numpy_getbuffer(PyObject *obj, Py_buffer *view, int flags) {
/* This function is always called after a type-check; safe to cast */
PyArrayObject *arr = (PyArrayObject*)obj;
PyArray_Descr *type = (PyArray_Descr*)arr->descr;
int typenum = PyArray_TYPE(obj);
if (!PyTypeNum_ISNUMBER(typenum)) {
PyErr_Format(PyExc_TypeError, "Only numeric NumPy types currently supported.");
return -1;
}
/*
NumPy format codes doesn't completely match buffer codes;
seems safest to retranslate.
01234567890123456789012345*/
const char* base_codes = "?bBhHiIlLqQfdgfdgO";
char* format = (char*)malloc(4);
char* fp = format;
*fp++ = type->byteorder;
if (PyTypeNum_ISCOMPLEX(typenum)) *fp++ = 'Z';
*fp++ = base_codes[typenum];
*fp = 0;
view->buf = arr->data;
view->readonly = !PyArray_ISWRITEABLE(obj);
view->ndim = PyArray_NDIM(arr);
view->strides = PyArray_STRIDES(arr);
view->shape = PyArray_DIMS(arr);
view->suboffsets = NULL;
view->format = format;
view->itemsize = type->elsize;
view->internal = 0;
return 0;
}
static void numpy_releasebuffer(PyObject *obj, Py_buffer *view) {
free((char*)view->format);
view->format = NULL;
}
"""]
......@@ -92,4 +92,4 @@ cdef extern from "numpy/arrayobject.h":
ctypedef float npy_float128
ctypedef npy_int64 Tint64
ctypedef npy_int64 int64
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