def test_buffer_info(self):
try:
from _numpypy import multiarray as np
except ImportError:
skip('pypy built without _numpypy')
module = self.import_module(name='buffer_test')
get_buffer_info = module.get_buffer_info
raises(ValueError, get_buffer_info, np.arange(5)[::2], ('SIMPLE', ))
arr = np.zeros((1, 10), order='F')
shape, strides = get_buffer_info(arr, ['F_CONTIGUOUS'])
assert strides[0] == 8
arr = np.zeros((10, 1), order='C')
shape, strides = get_buffer_info(arr, ['C_CONTIGUOUS'])
assert strides[-1] == 8
dt1 = np.dtype([('a', 'b'), ('b', 'i'), ('sub0', np.dtype('b,i')),
('sub1', np.dtype('b,i')), ('sub2', np.dtype('b,i')),
('sub3', np.dtype('b,i')), ('sub4', np.dtype('b,i')),
('sub5', np.dtype('b,i')), ('sub6', np.dtype('b,i')),
('sub7', np.dtype('b,i')), ('c', 'i')], )
x = np.arange(dt1.itemsize, dtype='int8').view(dt1)
# pytest can catch warnings from v2.8 and up, we ship 2.5
import warnings
warnings.filterwarnings("error")
try:
try:
y = get_buffer_info(x, ['SIMPLE'])
except UserWarning as e:
pass
else:
assert False ,"PyPy-specific UserWarning not raised" \
" on too long format string"
finally:
warnings.resetwarnings()
def test_buffer_info(self):
try:
from _numpypy import multiarray as np
except ImportError:
skip("pypy built without _numpypy")
module = self.import_module(name="buffer_test")
get_buffer_info = module.get_buffer_info
raises(ValueError, get_buffer_info, np.arange(5)[::2], ("SIMPLE",))
arr = np.zeros((1, 10), order="F")
shape, strides = get_buffer_info(arr, ["F_CONTIGUOUS"])
assert strides[0] == 8
arr = np.zeros((10, 1), order="C")
shape, strides = get_buffer_info(arr, ["C_CONTIGUOUS"])
assert strides[-1] == 8
dt1 = np.dtype(
[
("a", "b"),
("b", "i"),
("sub0", np.dtype("b,i")),
("sub1", np.dtype("b,i")),
("sub2", np.dtype("b,i")),
("sub3", np.dtype("b,i")),
("sub4", np.dtype("b,i")),
("sub5", np.dtype("b,i")),
("sub6", np.dtype("b,i")),
("sub7", np.dtype("b,i")),
("c", "i"),
]
)
x = np.arange(dt1.itemsize, dtype="int8").view(dt1)
# pytest can catch warnings from v2.8 and up, we ship 2.5
import warnings
warnings.filterwarnings("error")
try:
try:
y = get_buffer_info(x, ["SIMPLE"])
except UserWarning as e:
pass
else:
assert False, "PyPy-specific UserWarning not raised" " on too long format string"
finally:
warnings.resetwarnings()
def test_buffer_info(self):
try:
from _numpypy import multiarray as np
except ImportError:
skip('pypy built without _numpypy')
module = self.import_module(name='buffer_test')
get_buffer_info = module.get_buffer_info
raises(ValueError, get_buffer_info, np.arange(5)[::2], ('SIMPLE', ))
arr = np.zeros((1, 10), order='F')
shape, strides = get_buffer_info(arr, ['F_CONTIGUOUS'])
assert strides[0] == 8
arr = np.zeros((10, 1), order='C')
shape, strides = get_buffer_info(arr, ['C_CONTIGUOUS'])
assert strides[-1] == 8
dt1 = np.dtype([('a', 'b'), ('b', 'i'), ('sub0', np.dtype('b,i')),
('sub1', np.dtype('b,i')), ('sub2', np.dtype('b,i')),
('sub3', np.dtype('b,i')), ('sub4', np.dtype('b,i')),
('sub5', np.dtype('b,i')), ('sub6', np.dtype('b,i')),
('sub7', np.dtype('b,i')), ('c', 'i')], )
x = np.arange(dt1.itemsize, dtype='int8').view(dt1)
def test_ufunc(self):
from _numpypy.multiarray import arange
mod = self.import_extension('foo', [
("create_ufunc_basic", "METH_NOARGS",
"""
PyUFuncGenericFunction funcs[] = {&double_times2, &int_times2};
char types[] = { NPY_DOUBLE,NPY_DOUBLE, NPY_INT, NPY_INT };
void *array_data[] = {NULL, NULL};
PyObject * retval;
retval = PyUFunc_FromFuncAndData(funcs,
array_data, types, 2, 1, 1, PyUFunc_None,
"times2", "times2_docstring", 0);
return retval;
"""
),
("create_ufunc_signature", "METH_NOARGS",
"""
PyUFuncGenericFunction funcs[] = {&double_times2, &int_times2};
char types[] = { NPY_DOUBLE,NPY_DOUBLE, NPY_INT, NPY_INT };
void *array_data[] = {NULL, NULL};
PyObject * retval;
retval = PyUFunc_FromFuncAndDataAndSignature(funcs,
array_data, types, 2, 1, 1, PyUFunc_None,
"times2", "times2_docstring", 0, "()->()");
return retval;
"""),
("create_float_ufunc_3x3", "METH_NOARGS",
"""
PyUFuncGenericFunction funcs[] = {&float_func_with_sig_3x3};
char types[] = { NPY_FLOAT,NPY_FLOAT};
void *array_data[] = {NULL, NULL};
return PyUFunc_FromFuncAndDataAndSignature(funcs,
array_data, types, 1, 1, 1, PyUFunc_None,
"float_3x3",
"a ufunc that tests a more complicated signature",
0, "(m,m)->(m,m)");
"""),
], prologue='''
#include "numpy/ndarraytypes.h"
#include "pypy_numpy.h"
/*#include <numpy/ufuncobject.h> generated by numpy setup.py*/
typedef void (*PyUFuncGenericFunction)
(char **args,
npy_intp *dimensions,
npy_intp *strides,
void *innerloopdata);
#define PyUFunc_None -1
void double_times2(char **args, npy_intp *dimensions,
npy_intp* steps, void* data)
{
npy_intp i;
npy_intp n;
char *in, *out;
npy_intp in_step, out_step;
double tmp;
n = dimensions[0];
in = args[0]; out=args[1];
in_step = steps[0]; out_step = steps[1];
for (i = 0; i < n; i++) {
/*BEGIN main ufunc computation*/
tmp = *(double *)in;
tmp *=2.0;
*((double *)out) = tmp;
/*END main ufunc computation*/
in += in_step;
out += out_step;
};
};
void int_times2(char **args, npy_intp *dimensions,
npy_intp* steps, void* data)
{
npy_intp i;
npy_intp n = dimensions[0];
char *in = args[0], *out=args[1];
npy_intp in_step = steps[0], out_step = steps[1];
int tmp;
for (i = 0; i < n; i++) {
/*BEGIN main ufunc computation*/
tmp = *(int *)in;
tmp *=2.0;
*((int *)out) = tmp;
/*END main ufunc computation*/
in += in_step;
out += out_step;
};
};
void float_func_with_sig_3x3(char ** args, npy_intp * dimensions,
npy_intp* steps, void* data)
{
int target_dims[] = {1, 3};
int target_steps[] = {0, 0, 12, 4, 12, 4};
int res = 0;
int i;
for (i=0; i<sizeof(target_dims)/sizeof(int); i++)
if (dimensions[i] != target_dims[i])
res += 1;
for (i=0; i<sizeof(target_steps)/sizeof(int); i++)
if (steps[i] != target_steps[i])
res += +10;
*((float *)args[1]) = res;
};
''')
sq = arange(18, dtype="float32").reshape(2,3,3)
float_ufunc = mod.create_float_ufunc_3x3()
out = float_ufunc(sq)
assert out[0, 0, 0] == 0
times2 = mod.create_ufunc_basic()
arr = arange(12, dtype='i').reshape(3, 4)
out = times2(arr, extobj=[0, 0, None])
assert (out == arr * 2).all()
times2prime = mod.create_ufunc_signature()
out = times2prime(arr, sig='d->d', extobj=[0, 0, None])
assert (out == arr * 2).all()
def test_buffer_protocol_capi(self):
foo = self.import_extension('foo', [("get_len", "METH_VARARGS", """
Py_buffer view;
PyObject* obj = PyTuple_GetItem(args, 0);
long ret, vlen;
memset(&view, 0, sizeof(Py_buffer));
ret = PyObject_GetBuffer(obj, &view, PyBUF_FULL_RO);
if (ret != 0)
return NULL;
vlen = view.len / view.itemsize;
PyBuffer_Release(&view);
return PyLong_FromLong(vlen);
"""),
("test_buffer", "METH_VARARGS", """
Py_buffer* view = NULL;
PyObject* obj = PyTuple_GetItem(args, 0);
PyObject* memoryview = PyMemoryView_FromObject(obj);
if (memoryview == NULL)
return NULL;
view = PyMemoryView_GET_BUFFER(memoryview);
Py_DECREF(memoryview);
return PyLong_FromLong(view->len / view->itemsize);
"""),
("test_contiguous", "METH_O", """
Py_buffer* view;
PyObject * memoryview;
void * buf = NULL;
int ret;
Py_ssize_t len;
memoryview = PyMemoryView_FromObject(args);
if (memoryview == NULL)
return NULL;
view = PyMemoryView_GET_BUFFER(memoryview);
Py_DECREF(memoryview);
len = view->len;
if (len == 0)
return NULL;
buf = malloc(len);
ret = PyBuffer_ToContiguous(buf, view, view->len, 'A');
if (ret != 0)
{
free(buf);
return NULL;
}
ret = PyBuffer_FromContiguous(view, buf, view->len, 'A');
free(buf);
if (ret != 0)
return NULL;
Py_RETURN_NONE;
"""),
("get_contiguous", "METH_O", """
return PyMemoryView_GetContiguous(args, PyBUF_READ, 'C');
""")])
module = self.import_module(name='buffer_test')
arr = module.PyMyArray(10)
ten = foo.get_len(arr)
assert ten == 10
ten = foo.get_len('1234567890')
assert ten == 10
ten = foo.test_buffer(arr)
assert ten == 10
foo.test_contiguous(arr)
contig = foo.get_contiguous(arr)
foo.test_contiguous(contig)
try:
from _numpypy import multiarray as np
except ImportError:
skip('pypy built without _numpypy')
a = np.arange(20)[::2]
skip('not implemented yet')
contig = foo.get_contiguous(a)
foo.test_contiguous(contig)
def test_ufunc(self):
from _numpypy.multiarray import arange
mod = self.import_extension('foo', [
("create_ufunc_basic", "METH_NOARGS", """
PyUFuncGenericFunction funcs[] = {&double_times2, &int_times2};
char types[] = { NPY_DOUBLE,NPY_DOUBLE, NPY_INT, NPY_INT };
void *array_data[] = {NULL, NULL};
PyObject * retval;
retval = PyUFunc_FromFuncAndData(funcs,
array_data, types, 2, 1, 1, PyUFunc_None,
"times2", "times2_docstring", 0);
return retval;
"""),
("create_ufunc_signature", "METH_NOARGS", """
PyUFuncGenericFunction funcs[] = {&double_times2, &int_times2};
char types[] = { NPY_DOUBLE,NPY_DOUBLE, NPY_INT, NPY_INT };
void *array_data[] = {NULL, NULL};
PyObject * retval;
retval = PyUFunc_FromFuncAndDataAndSignature(funcs,
array_data, types, 2, 1, 1, PyUFunc_None,
"times2", "times2_docstring", 0, "()->()");
return retval;
"""),
("create_float_ufunc_3x3", "METH_NOARGS", """
PyUFuncGenericFunction funcs[] = {&float_func_with_sig_3x3};
char types[] = { NPY_FLOAT,NPY_FLOAT};
void *array_data[] = {NULL, NULL};
return PyUFunc_FromFuncAndDataAndSignature(funcs,
array_data, types, 1, 1, 1, PyUFunc_None,
"float_3x3",
"a ufunc that tests a more complicated signature",
0, "(m,m)->(m,m)");
"""),
],
prologue='''
#include "numpy/ndarraytypes.h"
/*#include <numpy/ufuncobject.h> generated by numpy setup.py*/
typedef void (*PyUFuncGenericFunction)
(char **args,
npy_intp *dimensions,
npy_intp *strides,
void *innerloopdata);
#define PyUFunc_None -1
void double_times2(char **args, npy_intp *dimensions,
npy_intp* steps, void* data)
{
npy_intp i;
npy_intp n;
char *in, *out;
npy_intp in_step, out_step;
double tmp;
n = dimensions[0];
in = args[0]; out=args[1];
in_step = steps[0]; out_step = steps[1];
for (i = 0; i < n; i++) {
/*BEGIN main ufunc computation*/
tmp = *(double *)in;
tmp *=2.0;
*((double *)out) = tmp;
/*END main ufunc computation*/
in += in_step;
out += out_step;
};
};
void int_times2(char **args, npy_intp *dimensions,
npy_intp* steps, void* data)
{
npy_intp i;
npy_intp n = dimensions[0];
char *in = args[0], *out=args[1];
npy_intp in_step = steps[0], out_step = steps[1];
int tmp;
for (i = 0; i < n; i++) {
/*BEGIN main ufunc computation*/
tmp = *(int *)in;
tmp *=2.0;
*((int *)out) = tmp;
/*END main ufunc computation*/
in += in_step;
out += out_step;
};
};
void float_func_with_sig_3x3(char ** args, npy_intp * dimensions,
npy_intp* steps, void* data)
{
int target_dims[] = {1, 3};
int target_steps[] = {0, 0, 12, 4, 12, 4};
int res = 0;
int i;
for (i=0; i<sizeof(target_dims)/sizeof(int); i++)
if (dimensions[i] != target_dims[i])
res += 1;
for (i=0; i<sizeof(target_steps)/sizeof(int); i++)
if (steps[i] != target_steps[i])
res += +10;
*((float *)args[1]) = res;
};
''')
sq = arange(18, dtype="float32").reshape(2, 3, 3)
float_ufunc = mod.create_float_ufunc_3x3()
out = float_ufunc(sq)
assert out[0, 0, 0] == 0
times2 = mod.create_ufunc_basic()
arr = arange(12, dtype='i').reshape(3, 4)
out = times2(arr, extobj=[0, 0, None])
assert (out == arr * 2).all()
times2prime = mod.create_ufunc_signature()
out = times2prime(arr, sig='(d)->(d)', extobj=[0, 0, None])
assert (out == arr * 2).all()
