1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
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
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
|
/*
* SPDX-FileCopyrightText: All Contributors to the PyTango project
*
* SPDX-License-Identifier: LGPL-3.0-or-later
*/
#pragma once
#include "from_py.h"
#include <iostream>
/**
* Translation between python object to Tango data type.
*
* Example:
* Tango::DevLong tg_value;
* try
* {
* from_py<Tango::DEV_LONG>::convert(py_obj, tg_value);
* }
* catch(bopy::error_already_set &eas)
* {
* handle_error(eas);
* }
*/
template <long tangoTypeConst>
struct from_py
{
typedef typename TANGO_const2type(tangoTypeConst) TangoScalarType;
static inline void convert(const bopy::object &o, TangoScalarType &tg)
{
convert(o.ptr(), tg);
}
static inline void convert(PyObject *o, TangoScalarType &tg)
{
// bopy::object tmp(bopy::handle<>(o));
// tg = bopy::extract<TangoScalartype>(tmp);
Tango::Except::throw_exception(
"PyDs_WrongPythonDataTypeForAttribute", "Unsupported attribute type translation", "from_py::convert()");
}
};
#define DEFINE_FAST_TANGO_FROMPY(tangoTypeConst, FN) \
template <> \
struct from_py<tangoTypeConst> \
{ \
typedef TANGO_const2type(tangoTypeConst) TangoScalarType; \
\
static inline void convert(const bopy::object &o, TangoScalarType &tg) \
{ \
convert(o.ptr(), tg); \
} \
\
static inline void convert(PyObject *o, TangoScalarType &tg) \
{ \
tg = static_cast<TangoScalarType>(FN(o)); \
if(PyErr_Occurred()) \
bopy::throw_error_already_set(); \
} \
};
#undef max
#undef min
// DEFINE_FAST_TANGO_FROMPY should be enough. However, as python does not
// provide conversion from python integers to all the data types accepted
// by tango we must check the ranges manually. Also now we can add numpy
// support to some extent...
#define DEFINE_FAST_TANGO_FROMPY_NUM(tangoTypeConst, cpy_type, FN) \
template <> \
struct from_py<tangoTypeConst> \
{ \
typedef TANGO_const2type(tangoTypeConst) TangoScalarType; \
typedef std::numeric_limits<TangoScalarType> TangoScalarTypeLimits; \
\
static inline void convert(const bopy::object &o, TangoScalarType &tg) \
{ \
convert(o.ptr(), tg); \
} \
\
static inline void convert(PyObject *o, TangoScalarType &tg) \
{ \
cpy_type cpy_value = FN(o); \
if(PyErr_Occurred()) \
{ \
PyErr_Clear(); \
if(PyArray_CheckScalar(o) && \
(PyArray_DescrFromScalar(o) == PyArray_DescrFromType(TANGO_const2numpy(tangoTypeConst)))) \
{ \
PyArray_ScalarAsCtype(o, reinterpret_cast<void *>(&tg)); \
return; \
} \
else \
{ \
std::string type_str; \
if(tangoTypeConst == Tango::DEV_BOOLEAN) \
{ \
type_str = "bool"; \
} \
else if(tangoTypeConst == Tango::DEV_FLOAT || tangoTypeConst == Tango::DEV_DOUBLE) \
{ \
type_str = "numeric"; \
} \
else \
{ \
type_str = "integer"; \
}; \
std::string err_msg = "Expecting a " + type_str + \
" type" \
" but it is not. If you use a numpy type instead of" \
" python core types, then it must exactly match (ex:" \
" numpy.int32 for PyTango.DevLong)"; \
PyErr_SetString(PyExc_TypeError, err_msg.c_str()); \
bopy::throw_error_already_set(); \
} \
} \
if(TangoScalarTypeLimits::is_integer) \
{ \
if(cpy_value > (cpy_type) TangoScalarTypeLimits::max()) \
{ \
PyErr_SetString(PyExc_OverflowError, "Value is too large."); \
bopy::throw_error_already_set(); \
} \
if(cpy_value < (cpy_type) TangoScalarTypeLimits::min()) \
{ \
PyErr_SetString(PyExc_OverflowError, "Value is too small."); \
bopy::throw_error_already_set(); \
} \
} \
tg = static_cast<TangoScalarType>(cpy_value); \
} \
};
/* Allow for downcast */
inline unsigned PY_LONG_LONG PyLong_AsUnsignedLongLong_2(PyObject *pylong)
{
unsigned PY_LONG_LONG result = PyLong_AsUnsignedLongLong(pylong);
if(PyErr_Occurred())
{
PyErr_Clear();
result = PyLong_AsUnsignedLong(pylong);
}
return result;
}
DEFINE_FAST_TANGO_FROMPY_NUM(Tango::DEV_BOOLEAN, long, PyLong_AsLong)
DEFINE_FAST_TANGO_FROMPY_NUM(Tango::DEV_UCHAR, unsigned long, PyLong_AsUnsignedLong)
DEFINE_FAST_TANGO_FROMPY_NUM(Tango::DEV_SHORT, long, PyLong_AsLong)
DEFINE_FAST_TANGO_FROMPY_NUM(Tango::DEV_USHORT, unsigned long, PyLong_AsUnsignedLong)
DEFINE_FAST_TANGO_FROMPY_NUM(Tango::DEV_LONG, long, PyLong_AsLong)
DEFINE_FAST_TANGO_FROMPY_NUM(Tango::DEV_ULONG, unsigned long, PyLong_AsUnsignedLong)
DEFINE_FAST_TANGO_FROMPY(Tango::DEV_STATE, PyLong_AsLong)
DEFINE_FAST_TANGO_FROMPY_NUM(Tango::DEV_LONG64, Tango::DevLong64, PyLong_AsLongLong)
DEFINE_FAST_TANGO_FROMPY_NUM(Tango::DEV_ULONG64, Tango::DevULong64, PyLong_AsUnsignedLongLong_2)
DEFINE_FAST_TANGO_FROMPY_NUM(Tango::DEV_FLOAT, double, PyFloat_AsDouble)
DEFINE_FAST_TANGO_FROMPY_NUM(Tango::DEV_DOUBLE, double, PyFloat_AsDouble)
DEFINE_FAST_TANGO_FROMPY(Tango::DEV_STRING, PyString_AsCorbaString)
DEFINE_FAST_TANGO_FROMPY(Tango::DEV_ENUM, PyLong_AsUnsignedLong)
template <long tangoArrayTypeConst>
struct array_element_from_py : public from_py<TANGO_const2scalarconst(tangoArrayTypeConst)>
{
};
template <>
struct array_element_from_py<Tango::DEVVAR_CHARARRAY>
{
static const long tangoArrayTypeConst = Tango::DEVVAR_CHARARRAY;
typedef TANGO_const2scalartype(tangoArrayTypeConst) TangoScalarType;
typedef std::numeric_limits<TangoScalarType> TangoScalarTypeLimits;
static inline void convert(const bopy::object &o, TangoScalarType &tg)
{
convert(o.ptr(), tg);
}
static inline void convert(PyObject *o, TangoScalarType &tg)
{
long cpy_value = PyLong_AsLong(o);
if(PyErr_Occurred())
{
PyErr_Clear();
if(PyArray_CheckScalar(o) &&
(PyArray_DescrFromScalar(o) == PyArray_DescrFromType(TANGO_const2scalarnumpy(tangoArrayTypeConst))))
{
PyArray_ScalarAsCtype(o, reinterpret_cast<void *>(&tg));
return;
}
else
{
std::string type_str;
if(tangoArrayTypeConst == Tango::DEVVAR_BOOLEANARRAY)
{
type_str = "bool";
}
else if(tangoArrayTypeConst == Tango::DEVVAR_DOUBLEARRAY ||
tangoArrayTypeConst == Tango::DEVVAR_FLOATARRAY)
{
type_str = "numeric";
}
else
{
type_str = "integer";
}
std::string err_msg = "Expecting a " + type_str +
" type"
" but it is not. If you use a numpy type instead of"
" python core types, then it must exactly match (ex:"
" numpy.int32 for PyTango.DevLong)";
PyErr_SetString(PyExc_TypeError, err_msg.c_str());
bopy::throw_error_already_set();
}
}
if(TangoScalarTypeLimits::is_integer)
{
if(cpy_value > TangoScalarTypeLimits::max())
{
PyErr_SetString(PyExc_OverflowError, "Value is too large.");
bopy::throw_error_already_set();
}
if(cpy_value < TangoScalarTypeLimits::min())
{
PyErr_SetString(PyExc_OverflowError, "Value is too small.");
bopy::throw_error_already_set();
}
}
tg = static_cast<TangoScalarType>(cpy_value);
}
};
template <long tangoTypeConst>
inline void fast_python_to_tango_buffer_deleter__(typename TANGO_const2type(tangoTypeConst) * data_buffer,
long processedElements)
{
delete[] data_buffer;
}
template <>
inline void fast_python_to_tango_buffer_deleter__<Tango::DEV_STRING>(Tango::DevString *data_buffer,
long processedElements)
{
for(long i = 0; i < processedElements; ++i)
{
delete[] data_buffer[i];
}
delete[] data_buffer;
}
template <long tangoTypeConst>
inline typename TANGO_const2type(tangoTypeConst) * fast_python_to_tango_buffer_sequence(PyObject *py_val,
long *pdim_x,
long *pdim_y,
const std::string &fname,
bool isImage,
long &res_dim_x,
long &res_dim_y)
{
typedef typename TANGO_const2type(tangoTypeConst) TangoScalarType;
long dim_x;
long dim_y = 0;
Py_ssize_t len = PySequence_Size(py_val);
bool expectFlatSource;
if(isImage)
{
if(pdim_y)
{
expectFlatSource = true;
dim_x = *pdim_x;
dim_y = *pdim_y;
long len2 = dim_x * dim_y;
if(len2 < len)
{
len = len2;
}
}
else
{
expectFlatSource = false;
if(len > 0)
{
PyObject *py_row0 = PySequence_ITEM(py_val, 0);
if(!py_row0 || !PySequence_Check(py_row0))
{
Py_XDECREF(py_row0);
Tango::Except::throw_exception(
"PyDs_WrongParameters", "Expecting a sequence of sequences.", fname + "()");
}
dim_y = static_cast<long>(len);
dim_x = static_cast<long>(PySequence_Size(py_row0));
Py_XDECREF(py_row0);
}
else
{
dim_x = 0;
}
}
len = dim_x * dim_y;
}
else
{
expectFlatSource = true;
if(pdim_x)
{
if(*pdim_x > len)
{
Tango::Except::throw_exception(
"PyDs_WrongParameters", "Specified dim_x is larger than the sequence size", fname + "()");
}
len = *pdim_x;
}
if(pdim_y && (*pdim_y != 0))
{
Tango::Except::throw_exception(
"PyDs_WrongParameters", "You should not specify dim_y for an spectrum attribute!", fname + "()");
}
dim_x = static_cast<long>(len);
}
res_dim_x = dim_x;
res_dim_y = dim_y;
if(!PySequence_Check(py_val))
{
Tango::Except::throw_exception("PyDs_WrongParameters", "Expecting a sequence!", fname + "()");
}
/// @bug Why not TangoArrayType::allocbuf(len)? Because
/// I will use it in set_value(tg_ptr,...,release=true).
/// Tango API makes delete[] tg_ptr instead of freebuf(tg_ptr).
/// This is usually the same, but for Tango::DevStringArray the
/// behaviour seems different and causes weirdtroubles..
TangoScalarType *tg_ptr;
tg_ptr = new TangoScalarType[len];
// The boost extract could be used:
// TangoScalarType val = bopy::extract<TangoScalarType>(elt_ptr);
// instead of the code below.
// the problem is that extract is considerably slower than our
// convert function which only has to deal with the specific tango
// data types
PyObject *py_el = 0;
PyObject *py_row = 0;
TangoScalarType tg_scalar;
long idx = 0;
try
{
if(expectFlatSource)
{
for(idx = 0; idx < len; ++idx)
{
py_el = PySequence_ITEM(py_val, idx);
if(!py_el)
{
bopy::throw_error_already_set();
}
from_py<tangoTypeConst>::convert(py_el, tg_scalar);
tg_ptr[idx] = tg_scalar;
Py_DECREF(py_el);
py_el = 0;
}
}
else
{
for(long y = 0; y < dim_y; ++y)
{
py_row = PySequence_ITEM(py_val, y);
if(!py_row)
{
bopy::throw_error_already_set();
}
if(!PySequence_Check(py_row))
{
Tango::Except::throw_exception(
"PyDs_WrongParameters", "Expecting a sequence of sequences!", fname + "()");
}
for(long x = 0; x < dim_x; ++x, ++idx)
{
py_el = PySequence_ITEM(py_row, x);
if(!py_el)
{
bopy::throw_error_already_set();
}
from_py<tangoTypeConst>::convert(py_el, tg_scalar);
tg_ptr[x + y * dim_x] = tg_scalar;
Py_DECREF(py_el);
py_el = 0;
}
Py_DECREF(py_row);
py_row = 0;
}
}
}
catch(...)
{
Py_XDECREF(py_el);
Py_XDECREF(py_row);
fast_python_to_tango_buffer_deleter__<tangoTypeConst>(tg_ptr, idx);
throw;
}
return tg_ptr;
}
template <long tangoArrayTypeConst>
inline typename TANGO_const2scalartype(tangoArrayTypeConst) *
fast_python_to_corba_buffer_sequence(PyObject *py_val, long *pdim_x, const std::string &fname, long &res_dim_x)
{
typedef typename TANGO_const2type(tangoArrayTypeConst) TangoArrayType;
typedef typename TANGO_const2scalartype(tangoArrayTypeConst) TangoScalarType;
long dim_x;
Py_ssize_t len = PySequence_Size(py_val);
if(pdim_x)
{
if(*pdim_x > len)
{
Tango::Except::throw_exception(
"PyDs_WrongParameters", "Specified dim_x is larger than the sequence size", fname + "()");
}
len = *pdim_x;
}
dim_x = static_cast<long>(len);
res_dim_x = dim_x;
if(!PySequence_Check(py_val))
{
Tango::Except::throw_exception("PyDs_WrongParameters", "Expecting a sequence!", fname + "()");
}
TangoScalarType *tg_ptr = TangoArrayType::allocbuf(static_cast<Tango::DevULong>(len));
// The boost extract could be used:
// TangoScalarType val = bopy::extract<TangoScalarType>(elt_ptr);
// instead of the code below.
// the problem is that extract is considerably slower than our
// convert function which only has to deal with the specific tango
// data types
PyObject *py_el = 0;
TangoScalarType tg_scalar;
long idx = 0;
try
{
for(idx = 0; idx < len; ++idx)
{
py_el = PySequence_ITEM(py_val, idx);
if(!py_el)
{
bopy::throw_error_already_set();
}
array_element_from_py<tangoArrayTypeConst>::convert(py_el, tg_scalar);
tg_ptr[idx] = tg_scalar;
Py_DECREF(py_el);
py_el = 0;
}
}
catch(...)
{
Py_XDECREF(py_el);
TangoArrayType::freebuf(tg_ptr);
throw;
}
return tg_ptr;
}
template <>
inline TANGO_const2type(Tango::DEV_ENCODED) *
fast_python_to_tango_buffer_sequence<Tango::DEV_ENCODED>(
PyObject *, long *, long *, const std::string &fname, bool isImage, long &res_dim_x, long &res_dim_y)
{
TangoSys_OMemStream o;
o << "DevEncoded is only supported for SCALAR attributes." << std::ends;
Tango::Except::throw_exception("PyDs_WrongPythonDataTypeForAttribute", o.str(), fname + "()");
return 0;
}
#include "fast_from_py_numpy.hpp"
template <long tangoArrayTypeConst>
inline typename TANGO_const2type(tangoArrayTypeConst) * fast_convert2array(bopy::object o)
{
typedef typename TANGO_const2type(tangoArrayTypeConst) TangoArrayType;
typedef typename TANGO_const2scalartype(tangoArrayTypeConst) TangoScalarType;
long res_dim_x;
// Last parameter false: destruction will be handled by CORBA, not by
// Tango. So, when we destroy it manually later, we also have to use the
// CORBA style (TangoArrayType are defines by CORBA idl)
TangoScalarType *array =
fast_python_to_corba_buffer_numpy<tangoArrayTypeConst>(o.ptr(), 0, "insert_array", res_dim_x);
try
{
// not a bug: res_dim_y means nothing to us, we are unidimensional
// here we have max_len and currebt_len = res_dim_x
return new TangoArrayType(res_dim_x, res_dim_x, array, true);
}
catch(...)
{
TangoArrayType::freebuf(array);
throw;
}
return 0;
}
template <>
inline TANGO_const2type(Tango::DEVVAR_LONGSTRINGARRAY) *
fast_convert2array<Tango::DEVVAR_LONGSTRINGARRAY>(bopy::object py_value)
{
const long tangoArrayTypeConst = Tango::DEVVAR_LONGSTRINGARRAY;
typedef TANGO_const2type(tangoArrayTypeConst) TangoArrayType;
if(!PySequence_Check(py_value.ptr()))
{
raise_convert2array_DevVarLongStringArray();
}
size_t size = bopy::len(py_value);
if(size != 2)
{
raise_convert2array_DevVarLongStringArray();
}
const bopy::object &py_lng = py_value[0], &py_str = py_value[1];
unique_pointer<Tango::DevVarLongArray> a_lng(fast_convert2array<Tango::DEVVAR_LONGARRAY>(py_lng));
unique_pointer<Tango::DevVarStringArray> a_str(fast_convert2array<Tango::DEVVAR_STRINGARRAY>(py_str));
unique_pointer<TangoArrayType> result(new TangoArrayType());
result->lvalue = *a_lng;
result->svalue = *a_str;
return result.release();
}
template <>
inline TANGO_const2type(Tango::DEVVAR_DOUBLESTRINGARRAY) *
fast_convert2array<Tango::DEVVAR_DOUBLESTRINGARRAY>(bopy::object py_value)
{
const long tangoArrayTypeConst = Tango::DEVVAR_DOUBLESTRINGARRAY;
typedef TANGO_const2type(tangoArrayTypeConst) TangoArrayType;
if(!PySequence_Check(py_value.ptr()))
{
raise_convert2array_DevVarDoubleStringArray();
}
size_t size = bopy::len(py_value);
if(size != 2)
{
raise_convert2array_DevVarDoubleStringArray();
}
const bopy::object &py_dbl = py_value[0], &py_str = py_value[1];
unique_pointer<Tango::DevVarDoubleArray> a_dbl(fast_convert2array<Tango::DEVVAR_DOUBLEARRAY>(py_dbl));
unique_pointer<Tango::DevVarStringArray> a_str(fast_convert2array<Tango::DEVVAR_STRINGARRAY>(py_str));
unique_pointer<TangoArrayType> result(new TangoArrayType());
result->dvalue = *a_dbl;
result->svalue = *a_str;
return result.release();
}
|
