static PyObject* write_coords(PyObject* self, PyObject* args)
{
oskar_MeasurementSet* h = 0;
PyObject *capsule = 0;
PyObject *obj[] = {0, 0, 0};
PyArrayObject *uu = 0, *vv = 0, *ww = 0;
int start_row = 0, num_baselines = 0;
double exposure_sec = 0.0, interval_sec = 0.0, time_stamp = 0.0;
if (!PyArg_ParseTuple(args, "OiiOOOddd", &capsule,
&start_row, &num_baselines, &obj[0], &obj[1], &obj[2],
&exposure_sec, &interval_sec, &time_stamp))
return 0;
if (!(h = (oskar_MeasurementSet*) get_handle(capsule, name))) return 0;
/* Make sure input objects are arrays. Convert if required. */
uu = (PyArrayObject*) PyArray_FROM_OF(obj[0], NPY_ARRAY_IN_ARRAY);
vv = (PyArrayObject*) PyArray_FROM_OF(obj[1], NPY_ARRAY_IN_ARRAY);
ww = (PyArrayObject*) PyArray_FROM_OF(obj[2], NPY_ARRAY_IN_ARRAY);
if (!uu || !vv || !ww)
goto fail;
/* Check dimensions. */
if (num_baselines != (int) PyArray_SIZE(uu) ||
num_baselines != (int) PyArray_SIZE(vv) ||
num_baselines != (int) PyArray_SIZE(ww))
{
PyErr_SetString(PyExc_RuntimeError, "Input data dimension mismatch.");
goto fail;
}
/* Write the coordinates. */
Py_BEGIN_ALLOW_THREADS
if (PyArray_TYPE(uu) == NPY_DOUBLE)
oskar_ms_write_coords_d(h, start_row, num_baselines,
(const double*)PyArray_DATA(uu),
(const double*)PyArray_DATA(vv),
(const double*)PyArray_DATA(ww),
exposure_sec, interval_sec, time_stamp);
else
oskar_ms_write_coords_f(h, start_row, num_baselines,
(const float*)PyArray_DATA(uu),
(const float*)PyArray_DATA(vv),
(const float*)PyArray_DATA(ww),
exposure_sec, interval_sec, time_stamp);
Py_END_ALLOW_THREADS
Py_XDECREF(uu);
Py_XDECREF(vv);
Py_XDECREF(ww);
return Py_BuildValue("");
fail:
Py_XDECREF(uu);
Py_XDECREF(vv);
Py_XDECREF(ww);
return 0;
}
static PyObject* write_vis(PyObject* self, PyObject* args)
{
oskar_MeasurementSet* h = 0;
PyObject *capsule = 0;
PyObject *obj = 0;
PyArrayObject *vis = 0;
int start_row = 0, start_channel = 0;
int num_channels = 0, num_baselines = 0, num_pols = 0;
if (!PyArg_ParseTuple(args, "OiiiiO", &capsule, &start_row,
&start_channel, &num_channels, &num_baselines, &obj))
return 0;
if (!(h = get_handle(capsule))) return 0;
/* Make sure input objects are arrays. Convert if required. */
vis = (PyArrayObject*) PyArray_FROM_OF(obj, NPY_ARRAY_IN_ARRAY);
if (!vis)
goto fail;
/* Get precision of complex visibility data. */
if (!PyArray_ISCOMPLEX(vis))
{
PyErr_SetString(PyExc_RuntimeError,
"Input visibility data must be complex.");
goto fail;
}
/* Check dimensions. */
num_pols = oskar_ms_num_pols(h);
if (num_baselines * num_channels * num_pols != (int) PyArray_SIZE(vis))
{
PyErr_SetString(PyExc_RuntimeError, "Input data dimension mismatch.");
goto fail;
}
/* Allow threads. */
Py_BEGIN_ALLOW_THREADS
/* Write the visibilities. */
if (PyArray_TYPE(vis) == NPY_DOUBLE)
oskar_ms_write_vis_d(h, start_row, start_channel, num_channels,
num_baselines, (const double*)PyArray_DATA(vis));
else
oskar_ms_write_vis_f(h, start_row, start_channel, num_channels,
num_baselines, (const float*)PyArray_DATA(vis));
/* Disallow threads. */
Py_END_ALLOW_THREADS
Py_XDECREF(vis);
return Py_BuildValue("");
fail:
Py_XDECREF(vis);
return 0;
}
/*NUMPY_API
*
* Useful to pass as converter function for O& processing in PyArgs_ParseTuple.
*
* This conversion function can be used with the "O&" argument for
* PyArg_ParseTuple. It will immediately return an object of array type
* or will convert to a NPY_ARRAY_CARRAY any other object.
*
* If you use PyArray_Converter, you must DECREF the array when finished
* as you get a new reference to it.
*/
NPY_NO_EXPORT int
PyArray_Converter(PyObject *object, PyObject **address)
{
if (PyArray_Check(object)) {
*address = object;
Py_INCREF(object);
return NPY_SUCCEED;
}
else {
*address = PyArray_FROM_OF(object, NPY_ARRAY_CARRAY);
if (*address == NULL) {
return NPY_FAIL;
}
return NPY_SUCCEED;
}
}
static size_t wrap_send(uhd::tx_streamer *tx_stream,
bp::object &np_array,
bp::object &metadata,
const double timeout = 0.1)
{
// Extract the metadata
bp::extract<uhd::tx_metadata_t&> get_metadata(metadata);
// TODO: throw an error here?
if (not get_metadata.check())
{
return 0;
}
// Get a numpy array object from given python object
// No sanity checking possible!
// Note: this increases the ref count, which we'll need to manually decrease at the end
PyObject* array_obj = PyArray_FROM_OF(np_array.ptr(),NPY_ARRAY_CARRAY);
PyArrayObject* array_type_obj = reinterpret_cast<PyArrayObject*>(array_obj);
// Get dimensions of the numpy array
const size_t dims = PyArray_NDIM(array_type_obj);
const npy_intp* shape = PyArray_SHAPE(array_type_obj);
// How many bytes to jump to get to the next element of the stride
// (next row)
const npy_intp* strides = PyArray_STRIDES(array_type_obj);
const size_t channels = tx_stream->get_num_channels();
// Check if numpy array sizes are ok
if (((channels > 1) && (dims != 2))
or ((size_t) shape[0] < channels))
{
// Manually decrement the ref count
Py_DECREF(array_obj);
// If we don't have a 2D NumPy array, assume we have a 1D array
size_t input_channels = (dims != 2) ? 1 : shape[0];
throw uhd::runtime_error(str(boost::format(
"Number of TX channels (%d) does not match the dimensions of the data array (%d)")
% channels % input_channels));
}
// Get a pointer to the storage
std::vector<void*> channel_storage;
char* data = PyArray_BYTES(array_type_obj);
for (size_t i = 0; i < channels; ++i)
{
channel_storage.push_back((void*)(data + i * strides[0]));
}
// Get data buffer and size of the array
size_t nsamps_per_buff = (dims > 1) ? (size_t) shape[1] : PyArray_SIZE(array_type_obj);
// Release the GIL only for the send() call
const size_t result = [&]() {
scoped_gil_release gil_release;
// Call the real send()
return tx_stream->send(
channel_storage,
nsamps_per_buff,
get_metadata(),
timeout
);
}();
// Manually decrement the ref count
Py_DECREF(array_obj);
return result;
}
/*
* Returns input array with values inserted sequentially into places
* indicated by the mask
*/
NPY_NO_EXPORT PyObject *
arr_insert(PyObject *NPY_UNUSED(self), PyObject *args, PyObject *kwdict)
{
PyObject *mask = NULL, *vals = NULL;
PyArrayObject *ainput = NULL, *amask = NULL, *avals = NULL, *tmp = NULL;
int numvals, totmask, sameshape;
char *input_data, *mptr, *vptr, *zero = NULL;
int melsize, delsize, nd, objarray, k;
npy_intp *instrides, *inshape;
static char *kwlist[] = {"input", "mask", "vals", NULL};
if (!PyArg_ParseTupleAndKeywords(args, kwdict, "O&OO", kwlist,
PyArray_Converter, &ainput,
&mask, &vals)) {
goto fail;
}
amask = (PyArrayObject *)PyArray_FROM_OF(mask, NPY_ARRAY_CARRAY);
if (amask == NULL) {
goto fail;
}
/* Cast an object array */
if (PyArray_DESCR(amask)->type_num == NPY_OBJECT) {
tmp = (PyArrayObject *)PyArray_Cast(amask, NPY_INTP);
if (tmp == NULL) {
goto fail;
}
Py_DECREF(amask);
amask = tmp;
}
sameshape = 1;
if (PyArray_NDIM(amask) == PyArray_NDIM(ainput)) {
for (k = 0; k < PyArray_NDIM(amask); k++) {
if (PyArray_DIMS(amask)[k] != PyArray_DIMS(ainput)[k]) {
sameshape = 0;
}
}
}
else {
/* Test to see if amask is 1d */
if (PyArray_NDIM(amask) != 1) {
sameshape = 0;
}
else if ((PyArray_SIZE(ainput)) != PyArray_SIZE(amask)) {
sameshape = 0;
}
}
if (!sameshape) {
PyErr_SetString(PyExc_TypeError,
"mask array must be 1-d or same shape as input array");
goto fail;
}
avals = (PyArrayObject *)PyArray_FromObject(vals,
PyArray_DESCR(ainput)->type_num, 0, 1);
if (avals == NULL) {
goto fail;
}
numvals = PyArray_SIZE(avals);
nd = PyArray_NDIM(ainput);
input_data = PyArray_DATA(ainput);
mptr = PyArray_DATA(amask);
melsize = PyArray_DESCR(amask)->elsize;
vptr = PyArray_DATA(avals);
delsize = PyArray_DESCR(avals)->elsize;
zero = PyArray_Zero(amask);
if (zero == NULL) {
goto fail;
}
objarray = (PyArray_DESCR(ainput)->type_num == NPY_OBJECT);
if (!numvals) {
/* nothing to insert! fail unless none of mask is true */
const char *iter = mptr;
const char *const last = iter + PyArray_NBYTES(amask);
while (iter != last && !memcmp(iter, zero, melsize)) {
iter += melsize;
}
if (iter != last) {
PyErr_SetString(PyExc_ValueError,
"Cannot insert from an empty array!");
goto fail;
}
goto finish;
}
/* Handle zero-dimensional case separately */
if (nd == 0) {
if (memcmp(mptr,zero,melsize) != 0) {
/* Copy value element over to input array */
memcpy(input_data,vptr,delsize);
if (objarray) {
Py_INCREF(*((PyObject **)vptr));
}
}
Py_DECREF(amask);
Py_DECREF(avals);
PyDataMem_FREE(zero);
Py_DECREF(ainput);
Py_RETURN_NONE;
}
totmask = (int) PyArray_SIZE(amask);
instrides = PyArray_STRIDES(ainput);
inshape = PyArray_DIMS(ainput);
if (objarray) {
/* object array, need to refcount, can't release the GIL */
arr_insert_loop(mptr, vptr, input_data, zero, PyArray_DATA(avals),
melsize, delsize, objarray, totmask, numvals, nd,
instrides, inshape);
}
else {
/* No increfs take place in arr_insert_loop, so release the GIL */
NPY_BEGIN_ALLOW_THREADS;
arr_insert_loop(mptr, vptr, input_data, zero, PyArray_DATA(avals),
melsize, delsize, objarray, totmask, numvals, nd,
instrides, inshape);
NPY_END_ALLOW_THREADS;
}
finish:
Py_DECREF(amask);
Py_DECREF(avals);
PyDataMem_FREE(zero);
Py_DECREF(ainput);
Py_RETURN_NONE;
fail:
PyDataMem_FREE(zero);
Py_XDECREF(ainput);
Py_XDECREF(amask);
Py_XDECREF(avals);
return NULL;
}
