nifty_gridder.cc 31.1 KB
Newer Older
Martin Reinecke's avatar
Martin Reinecke committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
/*
 *  This file is part of nifty_gridder.
 *
 *  nifty_gridder is free software; you can redistribute it and/or modify
 *  it under the terms of the GNU General Public License as published by
 *  the Free Software Foundation; either version 2 of the License, or
 *  (at your option) any later version.
 *
 *  nifty_gridder is distributed in the hope that it will be useful,
 *  but WITHOUT ANY WARRANTY; without even the implied warranty of
 *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *  GNU General Public License for more details.
 *
 *  You should have received a copy of the GNU General Public License
Martin Reinecke's avatar
Martin Reinecke committed
15
 *  along with nifty_gridder; if not, write to the Free Software
Martin Reinecke's avatar
Martin Reinecke committed
16
17
18
 *  Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301  USA
 */

Martin Reinecke's avatar
Martin Reinecke committed
19
20
21
/* Copyright (C) 2019 Max-Planck-Society
   Author: Martin Reinecke */

Martin Reinecke's avatar
import  
Martin Reinecke committed
22
23
#include <pybind11/pybind11.h>
#include <pybind11/numpy.h>
Martin Reinecke's avatar
Martin Reinecke committed
24

Martin Reinecke's avatar
Martin Reinecke committed
25
#include "gridder_cxx.h"
Martin Reinecke's avatar
import  
Martin Reinecke committed
26
27

using namespace std;
Martin Reinecke's avatar
Martin Reinecke committed
28
using namespace gridder;
Martin Reinecke's avatar
import  
Martin Reinecke committed
29
30
31
32
33

namespace py = pybind11;

namespace {

Martin Reinecke's avatar
Martin Reinecke committed
34
35
auto None = py::none();

36
template<typename T>
Martin Reinecke's avatar
updates    
Martin Reinecke committed
37
  using pyarr = py::array_t<T, 0>;
Martin Reinecke's avatar
import  
Martin Reinecke committed
38

Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
39
40
41
42
43
44
45
46
47
48
49
50
template<typename T> pyarr<T> getPyarr(const py::array &arr, const string &name)
  {
  auto t1=arr.dtype();
  auto t2=pybind11::dtype::of<T>();
  myassert(t1.is(t2),
    "type mismatch for array '", name, "': expected '", t2.kind(),
    t2.itemsize(), "', but got '", t1.kind(), t1.itemsize(), "'.");
  return arr.cast<pyarr<T>>();
  }
template<typename T> bool isPytype(const py::array &arr)
  { return arr.dtype().is(pybind11::dtype::of<T>()); }

Martin Reinecke's avatar
Martin Reinecke committed
51
52
template<typename T> pyarr<T> makeArray(const vector<size_t> &shape)
  { return pyarr<T>(shape); }
Martin Reinecke's avatar
updates    
Martin Reinecke committed
53

Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
54
void checkArray(const py::array &arr, const string &aname,
Martin Reinecke's avatar
merge    
Martin Reinecke committed
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
  const vector<size_t> &shape)
  {
  if (size_t(arr.ndim())!=shape.size())
    {
    cerr << "Array '" << aname << "' has " << arr.ndim() << " dimensions; "
            "expected " << shape.size() << endl;
    throw runtime_error("bad dimensionality");
    }
  for (size_t i=0; i<shape.size(); ++i)
    if ((shape[i]!=0) && (size_t(arr.shape(i))!=shape[i]))
      {
      cerr << "Dimension " << i << " of array '" << aname << "' has size "
           << arr.shape(i) << "; expected " << shape[i] << endl;
      throw runtime_error("bad array size");
      }
  }

Martin Reinecke's avatar
Martin Reinecke committed
72
template<typename T> pyarr<T> provideArray(const py::object &in,
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
73
  const string &name, const vector<size_t> &shape)
Martin Reinecke's avatar
merge    
Martin Reinecke committed
74
  {
75
  if (in.is_none())
Martin Reinecke's avatar
merge    
Martin Reinecke committed
76
77
78
79
80
81
82
83
    {
    auto tmp_ = makeArray<T>(shape);
    size_t sz = size_t(tmp_.size());
    auto tmp = tmp_.mutable_data();
    for (size_t i=0; i<sz; ++i)
      tmp[i] = T(0);
    return tmp_;
    }
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
84
85
  auto tmp_ = getPyarr<T>(in.cast<py::array>(), name);
  checkArray(tmp_, name, shape);
Martin Reinecke's avatar
merge    
Martin Reinecke committed
86
87
88
  return tmp_;
  }

Martin Reinecke's avatar
Martin Reinecke committed
89
template<typename T> pyarr<T> providePotentialArray(const py::object &in,
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
90
  const string &name, const vector<size_t> &shape)
Martin Reinecke's avatar
Martin Reinecke committed
91
92
93
  {
  if (in.is_none())
    return makeArray<T>(vector<size_t>(shape.size(), 0));
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
94
95
  auto tmp_ = getPyarr<T>(in.cast<py::array>(), name);
  checkArray(tmp_, name, shape);
Martin Reinecke's avatar
Martin Reinecke committed
96
97
98
  return tmp_;
  }

Martin Reinecke's avatar
Martin Reinecke committed
99
template<typename T> pyarr<T> provideCArray(py::object &in,
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
100
  const string &name, const vector<size_t> &shape)
Martin Reinecke's avatar
merge    
Martin Reinecke committed
101
  {
102
  if (in.is_none())
Martin Reinecke's avatar
merge    
Martin Reinecke committed
103
104
105
106
107
108
109
110
    {
    auto tmp_ = makeArray<T>(shape);
    size_t sz = size_t(tmp_.size());
    auto tmp = tmp_.mutable_data();
    for (size_t i=0; i<sz; ++i)
      tmp[i] = T(0);
    return tmp_;
    }
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
111
112
  auto tmp_ = getPyarr<T>(in.cast<py::array>(), name);
  checkArray(tmp_, name, shape);
Martin Reinecke's avatar
merge    
Martin Reinecke committed
113
114
115
  return tmp_;
  }

Martin Reinecke's avatar
Martin Reinecke committed
116
template<size_t ndim, typename T> mav<T,ndim> make_mav(pyarr<T> &in)
Martin Reinecke's avatar
Martin Reinecke committed
117
  {
Martin Reinecke's avatar
Martin Reinecke committed
118
119
120
121
  myassert(ndim==in.ndim(), "dimension mismatch");
  array<size_t,ndim> dims;
  array<ptrdiff_t,ndim> str;
  for (size_t i=0; i<ndim; ++i)
Martin Reinecke's avatar
Martin Reinecke committed
122
    {
Martin Reinecke's avatar
Martin Reinecke committed
123
124
125
    dims[i]=in.shape(i);
    str[i]=in.strides(i)/sizeof(T);
    myassert(str[i]*ptrdiff_t(sizeof(T))==in.strides(i), "weird strides");
Martin Reinecke's avatar
Martin Reinecke committed
126
    }
Martin Reinecke's avatar
Martin Reinecke committed
127
  return mav<T, ndim>(in.mutable_data(),dims,str);
Martin Reinecke's avatar
Martin Reinecke committed
128
  }
Martin Reinecke's avatar
updates    
Martin Reinecke committed
129
template<size_t ndim, typename T> const_mav<T,ndim> make_const_mav(const pyarr<T> &in)
Martin Reinecke's avatar
Martin Reinecke committed
130
131
132
133
134
135
136
137
138
139
  {
  myassert(ndim==in.ndim(), "dimension mismatch");
  array<size_t,ndim> dims;
  array<ptrdiff_t,ndim> str;
  for (size_t i=0; i<ndim; ++i)
    {
    dims[i]=in.shape(i);
    str[i]=in.strides(i)/sizeof(T);
    myassert(str[i]*ptrdiff_t(sizeof(T))==in.strides(i), "weird strides");
    }
Martin Reinecke's avatar
updates    
Martin Reinecke committed
140
  return const_mav<T, ndim>(in.data(),dims,str);
Martin Reinecke's avatar
Martin Reinecke committed
141
  }
Martin Reinecke's avatar
Martin Reinecke committed
142

Martin Reinecke's avatar
Martin Reinecke committed
143
constexpr auto PyBaselines_DS = R"""(
144
145
146
147
148
149
150
151
152
Class storing UVW coordinates and channel information.

Parameters
==========
coord: np.array((nrows, 3), dtype=np.float)
    u, v and w coordinates for each row
freq: np.array((nchannels,), dtype=np.float)
    frequency for each individual channel (in Hz)
)""";
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
153
class PyBaselines: public Baselines
Martin Reinecke's avatar
Martin Reinecke committed
154
155
  {
  public:
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
156
157
158
    using Baselines::Baselines;
    template<typename T> PyBaselines(const pyarr<T> &coord, const pyarr<T> &freq)
      : Baselines(make_const_mav<2>(coord), make_const_mav<1>(freq))
Martin Reinecke's avatar
Martin Reinecke committed
159
      {}
Martin Reinecke's avatar
Martin Reinecke committed
160

161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
    static constexpr auto ms2vis_DS = R"""(
    Extracts visibility data from a measurement for the provided indices.

    Parameters
    ==========
    ms: np.array((nrows, nchannels), dtype=np.complex)
        the measurement set's visibility data
    idx: np.array((nvis,), dtype=np.uint32)
        the indices to be extracted

    Returns
    =======
    np.array((nvis,), dtype=np.complex)
        The visibility data for the index array
    )""";
176

Martin Reinecke's avatar
step 1    
Martin Reinecke committed
177
    template<typename T> pyarr<T> effectiveuvw(const pyarr<uint32_t> &idx_) const
Martin Reinecke's avatar
Martin Reinecke committed
178
      {
179
      size_t nvis = size_t(idx_.shape(0));
Martin Reinecke's avatar
Martin Reinecke committed
180
      auto idx=make_const_mav<1>(idx_);
181
      auto res_=makeArray<T>({nvis, 3});
Martin Reinecke's avatar
Martin Reinecke committed
182
      auto res=make_mav<2>(res_);
Martin Reinecke's avatar
Martin Reinecke committed
183
184
      {
      py::gil_scoped_release release;
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
185
      Baselines::effectiveUVW(idx,res);
Martin Reinecke's avatar
Martin Reinecke committed
186
      }
187
      return res_;
Martin Reinecke's avatar
Martin Reinecke committed
188
      }
189

Martin Reinecke's avatar
step 1    
Martin Reinecke committed
190
    template<typename T> pyarr<T> ms2vis(const pyarr<T> &ms_,
Martin Reinecke's avatar
Martin Reinecke committed
191
      const pyarr<uint32_t> &idx_, size_t nthreads) const
Martin Reinecke's avatar
updates    
Martin Reinecke committed
192
      {
Martin Reinecke's avatar
Martin Reinecke committed
193
      auto idx=make_const_mav<1>(idx_);
Martin Reinecke's avatar
Martin Reinecke committed
194
      size_t nvis = size_t(idx.shape(0));
Martin Reinecke's avatar
Martin Reinecke committed
195
      auto ms = make_const_mav<2>(ms_);
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
196
      auto res=makeArray<T>({nvis});
Martin Reinecke's avatar
Martin Reinecke committed
197
      auto vis = make_mav<1>(res);
Martin Reinecke's avatar
Martin Reinecke committed
198
199
      {
      py::gil_scoped_release release;
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
200
      Baselines::ms2vis(ms, idx, vis, nthreads);
Martin Reinecke's avatar
Martin Reinecke committed
201
      }
Martin Reinecke's avatar
updates    
Martin Reinecke committed
202
203
204
      return res;
      }

205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
    static constexpr auto vis2ms_DS = R"""(
    Produces a new MS with the provided visibilities set.

    Parameters
    ==========
    vis: np.array((nvis,), dtype=np.complex)
        The visibility data for the index array
    idx: np.array((nvis,), dtype=np.uint32)
        the indices to be inserted
    ms_in: np.array((nrows, nchannels), dtype=np.complex), optional
        input measurement set to which the visibilities are added.

    Returns
    =======
    np.array((nrows, nchannels), dtype=np.complex)
        the measurement set's visibility data (0 where not covered by idx)
    )""";
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
222
    template<typename T> pyarr<T> vis2ms(const pyarr<T> &vis_,
Martin Reinecke's avatar
Martin Reinecke committed
223
      const pyarr<uint32_t> &idx_, py::object &ms_in, size_t nthreads) const
Martin Reinecke's avatar
updates    
Martin Reinecke committed
224
      {
Martin Reinecke's avatar
Martin Reinecke committed
225
226
      auto vis=make_const_mav<1>(vis_);
      auto idx=make_const_mav<1>(idx_);
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
227
      auto res = provideArray<T>(ms_in, "ms_in", {nrows, nchan});
Martin Reinecke's avatar
Martin Reinecke committed
228
      auto ms = make_mav<2>(res);
Martin Reinecke's avatar
Martin Reinecke committed
229
230
      {
      py::gil_scoped_release release;
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
231
      Baselines::vis2ms(vis, idx, ms, nthreads);
Martin Reinecke's avatar
Martin Reinecke committed
232
      }
Martin Reinecke's avatar
updates    
Martin Reinecke committed
233
234
      return res;
      }
Martin Reinecke's avatar
Martin Reinecke committed
235
236
  };

237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
constexpr auto grid2dirty_DS = R"""(
Converts from UV grid to dirty image (FFT, cropping, correction)

Parameters
==========
grid: np.array((nu, nv), dtype=np.float64)
    gridded UV data

Returns
=======
nd.array((nxdirty, nydirty), dtype=np.float64)
    the dirty image
)""";

constexpr auto dirty2grid_DS = R"""(
Converts from a dirty image to a UV grid (correction, padding, FFT)

Parameters
==========
dirty: nd.array((nxdirty, nydirty), dtype=np.float64)
    the dirty image

Returns
=======
np.array((nu, nv), dtype=np.float64)
    gridded UV data
)""";

Martin Reinecke's avatar
Martin Reinecke committed
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
constexpr auto apply_taper_DS = R"""(
Applies the taper (or its inverse) to an image

Parameters
==========
img: nd.array((nxdirty, nydirty), dtype=np.float64)
    the image
divide: bool
    if True, the routine dividex by the taper, otherwise it multiplies by it

Returns
=======
np.array((nxdirty, nydirty), dtype=np.float64)
    the image with the taper applied
)""";

Martin Reinecke's avatar
Martin Reinecke committed
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
constexpr auto apply_wscreen_DS = R"""(
Applies the w screen to an image

Parameters
==========
dirty: nd.array((nxdirty, nydirty), dtype=np.complex128)
    the image
w : float
    the w value to use
adjoint: bool
    if True, apply the complex conjugate of the w screen

Returns
=======
np.array((nxdirty, nydirty), dtype=np.complex128)
    the image with the w screen applied
)""";

299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
constexpr auto GridderConfig_DS = R"""(
Class storing information related to the gridding/degridding process.

Parameters
==========
nxdirty: int
    x resolution of the dirty image; must be even
nydirty: int
    y resolution of the dirty image; must be even
epsilon: float
    required accuracy for the gridding/degridding step
    Must be >= 2e-13.
pixsize_x: float
    Pixel size in x direction (radians)
pixsize_y: float
    Pixel size in y direction (radians)
)""";
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
316
class PyGridderConfig: public GridderConfig
Martin Reinecke's avatar
Martin Reinecke committed
317
318
  {
  public:
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
319
    using GridderConfig::GridderConfig;
Martin Reinecke's avatar
Martin Reinecke committed
320
    PyGridderConfig(size_t nxdirty, size_t nydirty, double epsilon,
Martin Reinecke's avatar
Martin Reinecke committed
321
      double pixsize_x, double pixsize_y, size_t nthreads)
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
322
323
324
      : GridderConfig(nxdirty, nydirty, epsilon, pixsize_x, pixsize_y, nthreads) {}

    template<typename T> pyarr<T> apply_taper(const pyarr<T> &img, bool divide) const
Martin Reinecke's avatar
Martin Reinecke committed
325
      {
Martin Reinecke's avatar
merge    
Martin Reinecke committed
326
      auto res = makeArray<T>({nx_dirty, ny_dirty});
Martin Reinecke's avatar
Martin Reinecke committed
327
328
      auto img2 = make_const_mav<2>(img);
      auto res2 = make_mav<2>(res);
Martin Reinecke's avatar
Martin Reinecke committed
329
330
      {
      py::gil_scoped_release release;
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
331
      GridderConfig::apply_taper(img2, res2, divide);
Martin Reinecke's avatar
Martin Reinecke committed
332
      }
Martin Reinecke's avatar
Martin Reinecke committed
333
334
      return res;
      }
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
335
    template<typename T> pyarr<T> grid2dirty(const pyarr<T> &grid) const
336
337
338
339
340
341
      {
      auto res = makeArray<T>({nx_dirty, ny_dirty});
      auto grid2=make_const_mav<2>(grid);
      auto res2=make_mav<2>(res);
      {
      py::gil_scoped_release release;
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
342
      GridderConfig::grid2dirty(grid2,res2);
343
344
345
      }
      return res;
      }
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
346
    template<typename T> pyarr<complex<T>> grid2dirty_c(const pyarr<complex<T>> &grid) const
Martin Reinecke's avatar
Martin Reinecke committed
347
      {
Martin Reinecke's avatar
merge    
Martin Reinecke committed
348
      auto res = makeArray<complex<T>>({nx_dirty, ny_dirty});
Martin Reinecke's avatar
Martin Reinecke committed
349
350
      auto grid2=make_const_mav<2>(grid);
      auto res2=make_mav<2>(res);
Martin Reinecke's avatar
Martin Reinecke committed
351
352
      {
      py::gil_scoped_release release;
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
353
      GridderConfig::grid2dirty_c(grid2,res2);
Martin Reinecke's avatar
Martin Reinecke committed
354
      }
355
356
      return res;
      }
357

Martin Reinecke's avatar
step 1    
Martin Reinecke committed
358
    template<typename T> pyarr<T> dirty2grid(const pyarr<T> &dirty) const
359
360
361
362
363
364
      {
      auto dirty2 = make_const_mav<2>(dirty);
      auto grid = makeArray<T>({nu, nv});
      auto grid2=make_mav<2>(grid);
      {
      py::gil_scoped_release release;
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
365
      GridderConfig::dirty2grid(dirty2, grid2);
366
367
368
      }
      return grid;
      }
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
369
    template<typename T> pyarr<complex<T>> dirty2grid_c(const pyarr<complex<T>> &dirty) const
370
      {
Martin Reinecke's avatar
updates    
Martin Reinecke committed
371
372
373
      auto dirty2 = make_const_mav<2>(dirty);
      auto grid = makeArray<complex<T>>({nu, nv});
      auto grid2=make_mav<2>(grid);
Martin Reinecke's avatar
Martin Reinecke committed
374
375
      {
      py::gil_scoped_release release;
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
376
      GridderConfig::dirty2grid_c(dirty2, grid2);
Martin Reinecke's avatar
Martin Reinecke committed
377
      }
Martin Reinecke's avatar
updates    
Martin Reinecke committed
378
      return grid;
379
      }
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
380
    template<typename T> pyarr<complex<T>> apply_wscreen(const pyarr<complex<T>> &dirty, double w, bool adjoint) const
Martin Reinecke's avatar
test1    
Martin Reinecke committed
381
      {
Martin Reinecke's avatar
updates    
Martin Reinecke committed
382
383
384
      auto dirty2 = make_const_mav<2>(dirty);
      auto res = makeArray<complex<T>>({nx_dirty, ny_dirty});
      auto res2 = make_mav<2>(res);
Martin Reinecke's avatar
test1    
Martin Reinecke committed
385
386
      {
      py::gil_scoped_release release;
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
387
      GridderConfig::apply_wscreen(dirty2, res2, w, adjoint);
388
      }
Martin Reinecke's avatar
updates    
Martin Reinecke committed
389
      return res;
390
      }
Martin Reinecke's avatar
Martin Reinecke committed
391
392
  };

Martin Reinecke's avatar
import  
Martin Reinecke committed
393

394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
constexpr auto vis2grid_c_DS = R"""(
Grids visibilities onto a UV grid

Parameters
==========
baselines: Baselines
    the Baselines object
gconf: GridderConf
    the GridderConf object to be used
    (used to optimize the ordering of the indices)
idx: np.array((nvis,), dtype=np.uint32)
    the indices for the entries to be gridded
vis: np.array((nvis,), dtype=np.complex)
    The visibility data for the index array
grid_in: np.array((nu,nv), dtype=np.complex128), optional
    If present, the result is added to this array.
Martin Reinecke's avatar
Martin Reinecke committed
410
411
wgt: np.array((nvis,), dtype=np.float64), optional
    If present, visibilities are multiplied by the corresponding entries.
412
413
414
415
416
417

Returns
=======
np.array((nu,nv), dtype=np.complex128):
    the gridded visibilities
)""";
Martin Reinecke's avatar
updates    
Martin Reinecke committed
418
template<typename T> pyarr<complex<T>> Pyvis2grid_c(
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
419
  const PyBaselines &baselines, const PyGridderConfig &gconf,
Martin Reinecke's avatar
Martin Reinecke committed
420
  const pyarr<uint32_t> &idx_, const pyarr<complex<T>> &vis_,
Martin Reinecke's avatar
Martin Reinecke committed
421
  py::object &grid_in, const py::object &wgt_)
422
  {
Martin Reinecke's avatar
updates    
Martin Reinecke committed
423
424
425
  auto vis2 = make_const_mav<1>(vis_);
  size_t nvis = vis2.shape(0);
  auto idx2 = make_const_mav<1>(idx_);
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
426
  pyarr<T> wgt = providePotentialArray<T>(wgt_, "wgt", {nvis});
Martin Reinecke's avatar
updates    
Martin Reinecke committed
427
  auto wgt2 = make_const_mav<1>(wgt);
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
428
  auto res = provideCArray<complex<T>>(grid_in, "grid_in", {gconf.Nu(), gconf.Nv()});
Martin Reinecke's avatar
updates    
Martin Reinecke committed
429
  auto grid = make_mav<2>(res);
Martin Reinecke's avatar
Martin Reinecke committed
430
431
  {
  py::gil_scoped_release release;
Martin Reinecke's avatar
updates    
Martin Reinecke committed
432
  vis2grid_c<T>(baselines, gconf, idx2, vis2, grid, wgt2);
Martin Reinecke's avatar
Martin Reinecke committed
433
  }
434
435
436
  return res;
  }

437
438
439
440
441
442
443
444
445
446
447
448
449
450
constexpr auto vis2grid_DS = R"""(
Grids visibilities onto a UV grid

Parameters
==========
baselines: Baselines
    the Baselines object
gconf: GridderConf
    the GridderConf object to be used
    (used to optimize the ordering of the indices)
idx: np.array((nvis,), dtype=np.uint32)
    the indices for the entries to be gridded
vis: np.array((nvis,), dtype=np.complex)
    The visibility data for the index array
Martin Reinecke's avatar
Martin Reinecke committed
451
452
grid_in: np.array((nu,nv), dtype=np.float64), optional
    If present, the result is added to this array.
Martin Reinecke's avatar
Martin Reinecke committed
453
454
wgt: np.array((nvis,), dtype=np.float64), optional
    If present, visibilities are multiplied by the corresponding entries.
455
456
457
458
459
460

Returns
=======
np.array((nu,nv), dtype=np.float64):
    the gridded visibilities (made real by making use of Hermitian symmetry)
)""";
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
461
462
template<typename T> pyarr<T> Pyvis2grid(const PyBaselines &baselines,
  const PyGridderConfig &gconf, const pyarr<uint32_t> &idx_,
463
464
465
  const pyarr<complex<T>> &vis_, py::object &grid_in, const py::object &wgt_)
  {
  auto tmp=Pyvis2grid_c(baselines, gconf, idx_, vis_, None, wgt_);
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
466
  auto grd=provideCArray<T>(grid_in, "grid_in", {gconf.Nu(), gconf.Nv()});
Martin Reinecke's avatar
Martin Reinecke committed
467
468
  {
  py::gil_scoped_release release;
469
  gridder::detail::complex2hartley(make_const_mav<2>(tmp), make_mav<2>(grd), gconf.Nthreads());
Martin Reinecke's avatar
Martin Reinecke committed
470
  }
471
472
  return grd;
  }
Martin Reinecke's avatar
updates    
Martin Reinecke committed
473

474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
constexpr auto ms2grid_c_DS = R"""(
Grids measurement set data onto a UV grid

Parameters
==========
baselines: Baselines
    the Baselines object
gconf: GridderConf
    the GridderConf object to be used
    (used to optimize the ordering of the indices)
idx: np.array((nvis,), dtype=np.uint32)
    the indices for the entries to be gridded
ms: np.array((nrows, nchannels), dtype=np.complex128)
    the measurement set.
grid_in: np.array((nu,nv), dtype=np.complex128), optional
    If present, the result is added to this array.
Martin Reinecke's avatar
Martin Reinecke committed
490
491
wgt: np.array((nrows, nchannels), dtype=np.float64), optional
    If present, visibilities are multiplied by the corresponding entries.
492
493
494
495
496
497

Returns
=======
np.array((nu,nv), dtype=np.complex128):
    the gridded visibilities
)""";
Martin Reinecke's avatar
updates    
Martin Reinecke committed
498
template<typename T> pyarr<complex<T>> Pyms2grid_c(
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
499
  const PyBaselines &baselines, const PyGridderConfig &gconf,
Martin Reinecke's avatar
Martin Reinecke committed
500
  const pyarr<uint32_t> &idx_, const pyarr<complex<T>> &ms_,
Martin Reinecke's avatar
Martin Reinecke committed
501
  py::object &grid_in, const py::object &wgt_)
Martin Reinecke's avatar
merge    
Martin Reinecke committed
502
503
504
  {
  auto nrows = baselines.Nrows();
  auto nchan = baselines.Nchannels();
Martin Reinecke's avatar
updates    
Martin Reinecke committed
505
506
  auto ms2 = make_const_mav<2>(ms_);
  auto idx2 = make_const_mav<1>(idx_);
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
507
  pyarr<T> wgt = providePotentialArray<T>(wgt_, "wgt", {nrows, nchan});
Martin Reinecke's avatar
updates    
Martin Reinecke committed
508
  auto wgt2 = make_const_mav<2>(wgt);
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
509
  auto res = provideCArray<complex<T>>(grid_in, "grid_in", {gconf.Nu(), gconf.Nv()});
Martin Reinecke's avatar
updates    
Martin Reinecke committed
510
  auto grid = make_mav<2>(res);
Martin Reinecke's avatar
Martin Reinecke committed
511
512
  {
  py::gil_scoped_release release;
Martin Reinecke's avatar
updates    
Martin Reinecke committed
513
  ms2grid_c<T>(baselines, gconf, idx2, ms2, grid, wgt2);
Martin Reinecke's avatar
Martin Reinecke committed
514
  }
Martin Reinecke's avatar
merge    
Martin Reinecke committed
515
516
517
  return res;
  }

518
template<typename T> pyarr<T> Pyms2grid(
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
519
  const PyBaselines &baselines, const PyGridderConfig &gconf,
520
521
522
523
  const pyarr<uint32_t> &idx_, const pyarr<complex<T>> &ms_,
  py::object &grid_in, const py::object &wgt_)
  {
  auto tmp = Pyms2grid_c(baselines, gconf, idx_, ms_, None, wgt_);
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
524
  auto res_ = provideCArray<T>(grid_in, "grid_in", {gconf.Nu(), gconf.Nv()});
525
  auto res = make_mav<2>(res_);
Martin Reinecke's avatar
Martin Reinecke committed
526
527
  {
  py::gil_scoped_release release;
528
  gridder::detail::complex2hartley(make_const_mav<2>(tmp), res, gconf.Nthreads());
Martin Reinecke's avatar
Martin Reinecke committed
529
  }
530
531
532
  return res_;
  }

Martin Reinecke's avatar
updates    
Martin Reinecke committed
533
template<typename T> pyarr<complex<T>> Pygrid2vis_c(
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
534
  const PyBaselines &baselines, const PyGridderConfig &gconf,
Martin Reinecke's avatar
Martin Reinecke committed
535
  const pyarr<uint32_t> &idx_, const pyarr<complex<T>> &grid_,
Martin Reinecke's avatar
Martin Reinecke committed
536
  const py::object &wgt_)
537
  {
Martin Reinecke's avatar
updates    
Martin Reinecke committed
538
539
540
  auto grid2 = make_const_mav<2>(grid_);
  auto idx2 = make_const_mav<1>(idx_);
  size_t nvis = idx2.shape(0);
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
541
  pyarr<T> wgt = providePotentialArray<T>(wgt_, "wgt", {nvis});
Martin Reinecke's avatar
updates    
Martin Reinecke committed
542
  auto wgt2 = make_const_mav<1>(wgt);
Martin Reinecke's avatar
merge    
Martin Reinecke committed
543
  auto res = makeArray<complex<T>>({nvis});
Martin Reinecke's avatar
updates    
Martin Reinecke committed
544
  auto vis = make_mav<1>(res);
Martin Reinecke's avatar
Martin Reinecke committed
545
546
  {
  py::gil_scoped_release release;
Martin Reinecke's avatar
updates    
Martin Reinecke committed
547
  grid2vis_c<T>(baselines, gconf, idx2, grid2, vis, wgt2);
Martin Reinecke's avatar
Martin Reinecke committed
548
  }
549
550
551
  return res;
  }

552
553
554
555
556
557
558
559
560
561
562
563
564
565
constexpr auto grid2vis_DS = R"""(
Degrids visibilities from a UV grid

Parameters
==========
baselines: Baselines
    the Baselines object
gconf: GridderConf
    the GridderConf object to be used
    (used to optimize the ordering of the indices)
idx: np.array((nvis,), dtype=np.uint32)
    the indices for the entries to be degridded
grid: np.array((nu,nv), dtype=np.float64):
    the gridded visibilities (made real by making use of Hermitian symmetry)
Martin Reinecke's avatar
Martin Reinecke committed
566
567
wgt: np.array((nvis,), dtype=np.float64), optional
    If present, visibilities are multiplied by the corresponding entries.
568
569
570
571
572
573

Returns
=======
np.array((nvis,), dtype=np.complex)
    The degridded visibility data
)""";
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
574
575
template<typename T> pyarr<complex<T>> Pygrid2vis(const PyBaselines &baselines,
  const PyGridderConfig &gconf, const pyarr<uint32_t> &idx_,
576
577
578
579
580
581
582
  const pyarr<T> &grid_, const py::object &wgt_)
  {
  auto tmp=makeArray<complex<T>>({gconf.Nu(), gconf.Nv()});
  gridder::detail::hartley2complex(make_const_mav<2>(grid_),make_mav<2>(tmp), gconf.Nthreads());
  return Pygrid2vis_c(baselines, gconf, idx_, tmp, wgt_);
  }

Martin Reinecke's avatar
updates    
Martin Reinecke committed
583
template<typename T> pyarr<complex<T>> Pygrid2ms_c(
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
584
  const PyBaselines &baselines, const PyGridderConfig &gconf,
Martin Reinecke's avatar
updates    
Martin Reinecke committed
585
586
587
588
589
590
591
  const pyarr<uint32_t> &idx_, const pyarr<complex<T>> &grid_,
  py::object &ms_in, const py::object &wgt_)
  {
  auto nrows = baselines.Nrows();
  auto nchan = baselines.Nchannels();
  auto grid2 = make_const_mav<2>(grid_);
  auto idx2 = make_const_mav<1>(idx_);
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
592
  pyarr<T> wgt = providePotentialArray<T>(wgt_, "wgt", {nrows, nchan});
Martin Reinecke's avatar
updates    
Martin Reinecke committed
593
  auto wgt2 = make_const_mav<2>(wgt);
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
594
  auto res = provideCArray<complex<T>>(ms_in, "ms_in", {nrows, nchan});
Martin Reinecke's avatar
updates    
Martin Reinecke committed
595
596
597
598
599
600
601
  auto ms = make_mav<2>(res);
  {
  py::gil_scoped_release release;
  grid2ms_c<T>(baselines, gconf, idx2, grid2, ms, wgt2);
  }
  return res;
  }
Martin Reinecke's avatar
merge    
Martin Reinecke committed
602

Martin Reinecke's avatar
step 1    
Martin Reinecke committed
603
604
template<typename T> pyarr<complex<T>> Pygrid2ms(const PyBaselines &baselines,
  const PyGridderConfig &gconf, const pyarr<uint32_t> &idx_,
605
606
607
608
609
610
611
612
  const pyarr<T> &grid_, py::object &ms_in, const py::object &wgt_)
  {
  auto grid2_ = makeArray<complex<T>>({gconf.Nu(), gconf.Nv()});
  auto grid2 = make_mav<2>(grid2_);
  gridder::detail::hartley2complex(make_const_mav<2>(grid_), grid2, gconf.Nthreads());
  return Pygrid2ms_c(baselines, gconf, idx_, grid2_, ms_in, wgt_);
  }

Martin Reinecke's avatar
Martin Reinecke committed
613
template<typename T> pyarr<complex<T>> apply_holo2(
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
614
  const PyBaselines &baselines, const PyGridderConfig &gconf,
Martin Reinecke's avatar
Martin Reinecke committed
615
  const py::array &idx_, const py::array &grid_, const py::object &wgt_)
616
  {
Martin Reinecke's avatar
Martin Reinecke committed
617
618
619
620
621
622
623
624
  auto idx = getPyarr<uint32_t>(idx_, "idx");
  auto idx2 = make_const_mav<1>(idx);
  auto grid = getPyarr<complex<T>>(grid_, "grid");
  auto grid2 = make_const_mav<2>(grid);
  auto wgt = providePotentialArray<T>(wgt_, "wgt", {idx2.shape(0)});
  auto wgt2 = make_const_mav<1>(wgt);
  auto res = makeArray<complex<T>>({grid2.shape(0),grid2.shape(1)});
  auto res2 = make_mav<2>(res);
625
626
  {
  py::gil_scoped_release release;
Martin Reinecke's avatar
Martin Reinecke committed
627
  apply_holo(baselines, gconf, idx2, grid2, res2, wgt2);
628
629
630
  }
  return res;
  }
Martin Reinecke's avatar
Martin Reinecke committed
631
632
633
634
635
636
637
638
639
640
py::array Pyapply_holo(
  const PyBaselines &baselines, const PyGridderConfig &gconf,
  const py::array &idx, const py::array &grid, const py::object &wgt)
  {
  if (isPytype<complex<float>>(grid))
    return apply_holo2<float>(baselines, gconf, idx, grid, wgt);
  if (isPytype<complex<double>>(grid))
    return apply_holo2<double>(baselines, gconf, idx, grid, wgt);
  myfail("type matching failed: 'grid' has neither type 'c8' nor 'c16'");
  }
641

Martin Reinecke's avatar
Martin Reinecke committed
642
template<typename T> pyarr<T> Pyget_correlations(
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
643
  const PyBaselines &baselines, const PyGridderConfig &gconf,
644
  const pyarr<uint32_t> &idx_, int du, int dv, const py::object &wgt_)
645
  {
Martin Reinecke's avatar
Martin Reinecke committed
646
  auto idx = make_const_mav<1>(idx_);
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
647
  pyarr<T> wgt2 = providePotentialArray<T>(wgt_, "wgt", {idx.shape(0)});
Martin Reinecke's avatar
Martin Reinecke committed
648
649
650
651
  auto wgt=make_const_mav<1>(wgt2);

  auto res = makeArray<T>({gconf.Nu(),gconf.Nv()});
  auto ogrid = make_mav<2>(res);
652
653
  {
  py::gil_scoped_release release;
Martin Reinecke's avatar
Martin Reinecke committed
654
  get_correlations(baselines, gconf, idx, du, dv, ogrid, wgt);
655
656
657
658
  }
  return res;
  }

659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
constexpr auto getIndices_DS = R"""(
Selects a subset of entries from a `Baselines` object.

Parameters
==========
baselines: Baselines
    the Baselines object
gconf: GridderConf
    the GridderConf object to be used with the returned indices.
    (used to optimize the ordering of the indices)
flags: np.array((nrows, nchannels), dtype=np.bool)
    "True" indicates that the value should not be used
chbegin: int
    first channel to use (-1: start with the first available channel)
chend: int
    one-past last channel to use (-1: one past the last available channel)
wmin: float
    only select entries with w>=wmin
wmax: float
    only select entries with w<wmax

Returns
=======
np.array((nvis,), dtype=np.uint32)
    the compressed indices for all entries which match the selected criteria
    and are not flagged.
)""";
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
686
pyarr<uint32_t> PygetIndices(const PyBaselines &baselines,
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
687
  const PyGridderConfig &gconf, const pyarr<bool> &flags_, int chbegin,
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
688
  int chend, double wmin, double wmax)
Martin Reinecke's avatar
updates    
Martin Reinecke committed
689
  {
690
691
  size_t nidx;
  auto flags = make_const_mav<2>(flags_);
Martin Reinecke's avatar
Martin Reinecke committed
692
693
  {
  py::gil_scoped_release release;
694
  nidx = getIdxSize(baselines, flags, chbegin, chend, wmin, wmax, gconf.Nthreads());
Martin Reinecke's avatar
Martin Reinecke committed
695
  }
696
697
  auto res = makeArray<uint32_t>({nidx});
  auto res2 = make_mav<1>(res);
Martin Reinecke's avatar
Martin Reinecke committed
698
699
  {
  py::gil_scoped_release release;
700
  fillIdx(baselines, gconf, flags, chbegin, chend, wmin, wmax, res2);
Martin Reinecke's avatar
Martin Reinecke committed
701
  }
Martin Reinecke's avatar
updates    
Martin Reinecke committed
702
703
704
  return res;
  }

Martin Reinecke's avatar
Martin Reinecke committed
705
706
707
template<typename T> pyarr<T> vis2dirty2(const PyBaselines &baselines,
  const PyGridderConfig &gconf, const py::array &idx_,
  const py::array &vis_, bool do_wstacking)
Martin Reinecke's avatar
Martin Reinecke committed
708
  {
Martin Reinecke's avatar
Martin Reinecke committed
709
710
711
712
713
714
  auto idx = getPyarr<uint32_t>(idx_, "idx");
  auto idx2 = make_const_mav<1>(idx);
  auto dirty = makeArray<T>({gconf.Nxdirty(), gconf.Nydirty()});
  auto dirty2 = make_mav<2>(dirty);
  auto vis = getPyarr<complex<T>>(vis_, "vis");
  auto vis2 = make_const_mav<1>(vis);
Martin Reinecke's avatar
Martin Reinecke committed
715
716
  {
  py::gil_scoped_release release;
Martin Reinecke's avatar
Martin Reinecke committed
717
  vis2dirty<T>(baselines, gconf, idx2, vis2, dirty2, do_wstacking);
Martin Reinecke's avatar
Martin Reinecke committed
718
  }
Martin Reinecke's avatar
updates    
Martin Reinecke committed
719
  return dirty;
Martin Reinecke's avatar
Martin Reinecke committed
720
  }
Martin Reinecke's avatar
Martin Reinecke committed
721
722
723
724
725
726
727
728
729
730
py::array Pyvis2dirty(const PyBaselines &baselines,
  const PyGridderConfig &gconf, const py::array &idx,
  const py::array &vis, bool do_wstacking)
  {
  if (isPytype<complex<float>>(vis))
    return vis2dirty2<float>(baselines, gconf, idx, vis, do_wstacking);
  if (isPytype<complex<double>>(vis))
    return vis2dirty2<double>(baselines, gconf, idx, vis, do_wstacking);
  myfail("type matching failed: 'vis' has neither type 'c8' nor 'c16'");
  }
Martin Reinecke's avatar
Martin Reinecke committed
731

Martin Reinecke's avatar
Martin Reinecke committed
732
template<typename T> pyarr<complex<T>> dirty2vis2(const PyBaselines &baselines,
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
733
  const PyGridderConfig &gconf, const pyarr<uint32_t> &idx_,
Martin Reinecke's avatar
Martin Reinecke committed
734
  const pyarr<T> &dirty_, bool do_wstacking)
735
  {
Martin Reinecke's avatar
Martin Reinecke committed
736
737
738
739
740
741
  auto idx = getPyarr<uint32_t>(idx_, "idx");
  auto idx2 = make_const_mav<1>(idx);
  auto dirty = getPyarr<T>(dirty_, "dirty");
  auto dirty2 = make_const_mav<2>(dirty_);
  auto vis = makeArray<complex<T>>({idx2.shape(0)});
  auto vis2 = make_mav<1>(vis);
742
743
  {
  py::gil_scoped_release release;
Martin Reinecke's avatar
Martin Reinecke committed
744
  vis2.fill(0);
Martin Reinecke's avatar
Martin Reinecke committed
745
  dirty2vis<T>(baselines, gconf, idx2, dirty2, vis2, do_wstacking);
746
747
748
  }
  return vis;
  }
Martin Reinecke's avatar
Martin Reinecke committed
749
750
751
752
753
754
755
756
757
758
py::array Pydirty2vis(const PyBaselines &baselines,
  const PyGridderConfig &gconf, const py::array &idx,
  const py::array &dirty, bool do_wstacking)
  {
  if (isPytype<float>(dirty))
    return dirty2vis2<float>(baselines, gconf, idx, dirty, do_wstacking);
  if (isPytype<double>(dirty))
    return dirty2vis2<double>(baselines, gconf, idx, dirty, do_wstacking);
  myfail("type matching failed: 'dirty' has neither type 'f4' nor 'f8'");
  }
759

Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
760
761
template<typename T> py::array gridding2(const py::array &uvw_,
  const py::array &freq_, const py::array &ms_, const py::object &wgt_,
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
762
  size_t npix_x, size_t npix_y, double pixsize_x, double pixsize_y, double epsilon,
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
763
  bool do_wstacking, size_t nthreads, size_t verbosity)
764
  {
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
765
  auto uvw = getPyarr<double>(uvw_, "uvw");
766
  auto uvw2 = make_const_mav<2>(uvw);
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
767
  auto freq = getPyarr<double>(freq_, "freq");
768
  auto freq2 = make_const_mav<1>(freq);
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
769
  auto ms = getPyarr<complex<T>>(ms_, "ms");
770
  auto ms2 = make_const_mav<2>(ms);
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
771
  auto wgt = providePotentialArray<T>(wgt_, "wgt", {ms2.shape(0),ms2.shape(1)});
772
  auto wgt2 = make_const_mav<2>(wgt);
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
773
774
  auto dirty = makeArray<T>({npix_x,npix_y});
  auto dirty2 = make_mav<2>(dirty);
Martin Reinecke's avatar
Martin Reinecke committed
775
776
  {
  py::gil_scoped_release release;
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
777
778
  gridding(uvw2,freq2,ms2,wgt2,pixsize_x,pixsize_y,epsilon,do_wstacking,
    nthreads,dirty2,verbosity);
Martin Reinecke's avatar
Martin Reinecke committed
779
  }
780
781
782
  return dirty;
  }

Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
783
784
py::array Pygridding(const py::array &uvw,
  const py::array &freq, const py::array &ms, const py::object &wgt,
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
785
  size_t npix_x, size_t npix_y, double pixsize_x, double pixsize_y, double epsilon,
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
786
  bool do_wstacking, size_t nthreads, size_t verbosity)
Martin Reinecke's avatar
Martin Reinecke committed
787
  {
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
788
789
790
791
792
793
794
  if (isPytype<complex<float>>(ms))
    return gridding2<float>(uvw, freq, ms, wgt, npix_x, npix_y,
      pixsize_x, pixsize_y, epsilon, do_wstacking, nthreads, verbosity);
  if (isPytype<complex<double>>(ms))
    return gridding2<double>(uvw, freq, ms, wgt, npix_x, npix_y,
      pixsize_x, pixsize_y, epsilon, do_wstacking, nthreads, verbosity);
  myfail("type matching failed: 'ms' has neither type 'c8' nor 'c16'");
Martin Reinecke's avatar
Martin Reinecke committed
795
796
  }

Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
797
798
799
800
template<typename T> py::array degridding2(const py::array &uvw_,
  const py::array &freq_, const py::array &dirty_, const py::object &wgt_,
  double pixsize_x, double pixsize_y, double epsilon,
  bool do_wstacking, size_t nthreads, size_t verbosity)
Martin Reinecke's avatar
Martin Reinecke committed
801
  {
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
802
  auto uvw = getPyarr<double>(uvw_, "uvw");
Martin Reinecke's avatar
Martin Reinecke committed
803
  auto uvw2 = make_const_mav<2>(uvw);
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
804
  auto freq = getPyarr<double>(freq_, "freq");
Martin Reinecke's avatar
Martin Reinecke committed
805
  auto freq2 = make_const_mav<1>(freq);
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
806
  auto dirty = getPyarr<T>(dirty_, "dirty");
Martin Reinecke's avatar
Martin Reinecke committed
807
  auto dirty2 = make_const_mav<2>(dirty);
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
808
  auto wgt = providePotentialArray<T>(wgt_, "wgt", {uvw2.shape(0),freq2.shape(0)});
Martin Reinecke's avatar
Martin Reinecke committed
809
  auto wgt2 = make_const_mav<2>(wgt);
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
810
811
  auto ms = makeArray<complex<T>>({uvw2.shape(0),freq2.shape(0)});
  auto ms2 = make_mav<2>(ms);
Martin Reinecke's avatar
Martin Reinecke committed
812
813
  {
  py::gil_scoped_release release;
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
814
815
  degridding(uvw2,freq2,dirty2,wgt2,pixsize_x,pixsize_y,epsilon,do_wstacking,
    nthreads,ms2,verbosity);
Martin Reinecke's avatar
Martin Reinecke committed
816
  }
Martin Reinecke's avatar
Martin Reinecke committed
817
818
819
  return ms;
  }

Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
820
821
822
823
824
825
826
827
828
829
830
831
832
833
py::array Pydegridding(const py::array &uvw,
  const py::array &freq, const py::array &dirty, const py::object &wgt,
  double pixsize_x, double pixsize_y, double epsilon,
  bool do_wstacking, size_t nthreads, size_t verbosity)
  {
  if (isPytype<float>(dirty))
    return degridding2<float>(uvw, freq, dirty, wgt,
      pixsize_x, pixsize_y, epsilon, do_wstacking, nthreads, verbosity);
  if (isPytype<double>(dirty))
    return degridding2<double>(uvw, freq, dirty, wgt,
      pixsize_x, pixsize_y, epsilon, do_wstacking, nthreads, verbosity);
  myfail("type matching failed: 'dirty' has neither type 'f4' nor 'f8'");
  }

Martin Reinecke's avatar
import  
Martin Reinecke committed
834
835
836
837
} // unnamed namespace

PYBIND11_MODULE(nifty_gridder, m)
  {
838
839
  using namespace pybind11::literals;

Martin Reinecke's avatar
step 1    
Martin Reinecke committed
840
  py::class_<PyBaselines> (m, "Baselines", PyBaselines_DS)
Martin Reinecke's avatar
Martin Reinecke committed
841
    .def(py::init<const pyarr<double> &, const pyarr<double> &>(),
842
      "coord"_a, "freq"_a)
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
843
844
845
846
847
848
849
850
    .def ("Nrows",&PyBaselines::Nrows)
    .def ("Nchannels",&PyBaselines::Nchannels)
    .def ("ms2vis",&PyBaselines::ms2vis<complex<double>>,
      PyBaselines::ms2vis_DS, "ms"_a, "idx"_a, "nthreads"_a=1)
    .def ("effectiveuvw",&PyBaselines::effectiveuvw<double>, "idx"_a)
    .def ("vis2ms",&PyBaselines::vis2ms<complex<double>>,
      PyBaselines::vis2ms_DS, "vis"_a, "idx"_a, "ms_in"_a=None, "nthreads"_a=1);
  py::class_<PyGridderConfig> (m, "GridderConfig", GridderConfig_DS)
Martin Reinecke's avatar
Martin Reinecke committed
851
852
    .def(py::init<size_t, size_t, double, double, double, size_t>(),"nxdirty"_a,
      "nydirty"_a, "epsilon"_a, "pixsize_x"_a, "pixsize_y"_a, "nthreads"_a=1)
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
853
854
855
856
857
858
859
860
861
    .def("Nxdirty", &PyGridderConfig::Nxdirty)
    .def("Nydirty", &PyGridderConfig::Nydirty)
    .def("Epsilon", &PyGridderConfig::Epsilon)
    .def("Pixsize_x", &PyGridderConfig::Pixsize_x)
    .def("Pixsize_y", &PyGridderConfig::Pixsize_y)
    .def("Nu", &PyGridderConfig::Nu)
    .def("Nv", &PyGridderConfig::Nv)
    .def("Supp", &PyGridderConfig::Supp)
    .def("apply_taper", &PyGridderConfig::apply_taper<double>, apply_taper_DS,
Martin Reinecke's avatar
Martin Reinecke committed
862
      "img"_a, "divide"_a=false)
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
863
     .def("grid2dirty", &PyGridderConfig::grid2dirty<double>,
864
        grid2dirty_DS, "grid"_a)
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
865
866
    .def("grid2dirty_c", &PyGridderConfig::grid2dirty_c<double>, "grid"_a)
    .def("dirty2grid", &PyGridderConfig::dirty2grid<double>,
867
       dirty2grid_DS, "dirty"_a)
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
868
869
    .def("dirty2grid_c", &PyGridderConfig::dirty2grid_c<double>, "dirty"_a)
    .def("apply_wscreen", &PyGridderConfig::apply_wscreen<double>,
Martin Reinecke's avatar
Martin Reinecke committed
870
      apply_wscreen_DS, "dirty"_a, "w"_a, "adjoint"_a)
871
872
873
874

    // pickle support
    .def(py::pickle(
        // __getstate__
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
875
        [](const PyGridderConfig & gc) {
876
877
          // Encode object state in tuple
          return py::make_tuple(gc.Nxdirty(), gc.Nydirty(), gc.Epsilon(),
Martin Reinecke's avatar
Martin Reinecke committed
878
                                gc.Pixsize_x(), gc.Pixsize_y(), gc.Nthreads());
879
880
881
        },
        // __setstate__
        [](py::tuple t) {
Martin Reinecke's avatar
Martin Reinecke committed
882
          myassert(t.size()==6,"Invalid state");
883
884

          // Reconstruct from tuple
Martin Reinecke's avatar
step 1    
Martin Reinecke committed
885
886
887
          return PyGridderConfig(t[0].cast<size_t>(), t[1].cast<size_t>(),
                                 t[2].cast<double>(), t[3].cast<double>(),
                                 t[4].cast<double>(), t[5].cast<size_t>());
888
889

        }));
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
890
  m.def("getIndices", PygetIndices, getIndices_DS, "baselines"_a,
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
891
    "gconf"_a, "flags"_a, "chbegin"_a=-1, "chend"_a=-1,
892
893
894
895
896
897
898
899
900
    "wmin"_a=-1e30, "wmax"_a=1e30);
   m.def("vis2grid",&Pyvis2grid<double>, vis2grid_DS, "baselines"_a, "gconf"_a,
     "idx"_a, "vis"_a, "grid_in"_a=None, "wgt"_a=None);
  m.def("ms2grid",&Pyms2grid<double>, "baselines"_a, "gconf"_a, "idx"_a, "ms"_a,
    "grid_in"_a=None, "wgt"_a=None);
  m.def("grid2vis",&Pygrid2vis<double>, grid2vis_DS, "baselines"_a, "gconf"_a,
    "idx"_a, "grid"_a, "wgt"_a=None);
  m.def("grid2ms",&Pygrid2ms<double>, "baselines"_a, "gconf"_a, "idx"_a,
    "grid"_a, "ms_in"_a=None, "wgt"_a=None);
Martin Reinecke's avatar
updates    
Martin Reinecke committed
901
  m.def("vis2grid_c",&Pyvis2grid_c<double>, vis2grid_c_DS, "baselines"_a,
Martin Reinecke's avatar
Martin Reinecke committed
902
    "gconf"_a, "idx"_a, "vis"_a, "grid_in"_a=None, "wgt"_a=None);
Martin Reinecke's avatar
updates    
Martin Reinecke committed
903
  m.def("ms2grid_c",&Pyms2grid_c<double>, ms2grid_c_DS, "baselines"_a, "gconf"_a,
Martin Reinecke's avatar
Martin Reinecke committed
904
    "idx"_a, "ms"_a, "grid_in"_a=None, "wgt"_a=None);
Martin Reinecke's avatar
updates    
Martin Reinecke committed
905
  m.def("grid2vis_c",&Pygrid2vis_c<double>, "baselines"_a, "gconf"_a, "idx"_a,
Martin Reinecke's avatar
Martin Reinecke committed
906
    "grid"_a, "wgt"_a=None);
Martin Reinecke's avatar
updates    
Martin Reinecke committed
907
  m.def("grid2ms_c",&Pygrid2ms_c<double>, "baselines"_a, "gconf"_a, "idx"_a,
Martin Reinecke's avatar
Martin Reinecke committed
908
    "grid"_a, "ms_in"_a=None, "wgt"_a=None);
Martin Reinecke's avatar
Martin Reinecke committed
909
  m.def("apply_holo",&Pyapply_holo, "baselines"_a, "gconf"_a, "idx"_a,
Martin Reinecke's avatar
Martin Reinecke committed
910
    "grid"_a, "wgt"_a=None);
Martin Reinecke's avatar
Martin Reinecke committed
911
  m.def("get_correlations", &Pyget_correlations<double>, "baselines"_a, "gconf"_a,
Martin Reinecke's avatar
Martin Reinecke committed
912
    "idx"_a, "du"_a, "dv"_a, "wgt"_a=None);
Martin Reinecke's avatar
Martin Reinecke committed
913
914
915
916
  m.def("vis2dirty",&Pyvis2dirty, "baselines"_a, "gconf"_a,
    "idx"_a, "vis"_a, "do_wstacking"_a=false);
  m.def("dirty2vis",&Pydirty2vis, "baselines"_a, "gconf"_a,
    "idx"_a, "dirty"_a, "do_wstacking"_a=false);
Martin Reinecke's avatar
Martin Reinecke committed
917

Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
918
  m.def("gridding",&Pygridding,"uvw"_a,"freq"_a,"ms"_a,
919
    "wgt"_a=None,"npix_x"_a,"npix_y"_a,"pixsize_x"_a,"pixsize_y"_a,"epsilon"_a,
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
920
921
922
    "do_wstacking"_a=false, "nthreads"_a=1, "verbosity"_a=0);
  m.def("degridding",&Pydegridding,"uvw"_a,"freq"_a,"dirty"_a,
    "wgt"_a=None,"pixsize_x"_a,"pixsize_y"_a, "epsilon"_a, "do_wstacking"_a=false, "nthreads"_a=1,
923
    "verbosity"_a=0);
Martin Reinecke's avatar
import  
Martin Reinecke committed
924
  }