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
|
//# PycBasicData.cc: Convert casa data types to/from python
//# Copyright (C) 2006
//# Associated Universities, Inc. Washington DC, USA.
//#
//# This library is free software; you can redistribute it and/or modify it
//# under the terms of the GNU Library General Public License as published by
//# the Free Software Foundation; either version 2 of the License, or (at your
//# option) any later version.
//#
//# This library 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 Library General Public
//# License for more details.
//#
//# You should have received a copy of the GNU Library General Public License
//# along with this library; if not, write to the Free Software Foundation,
//# Inc., 675 Massachusetts Ave, Cambridge, MA 02139, USA.
//#
//# Correspondence concerning AIPS++ should be addressed as follows:
//# Internet email: casa-feedback@nrao.edu.
//# Postal address: AIPS++ Project Office
//# National Radio Astronomy Observatory
//# 520 Edgemont Road
//# Charlottesville, VA 22903-2475 USA
#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
#include <casacore/python/Converters/PycBasicData.h>
#include <casacore/python/Converters/PycArrayNP.h>
using namespace boost::python;
namespace casacore { namespace python {
std::map<std::string,bool> pyregistry::_registry;
bool pyregistry::get (const std::string& name)
{
return _registry[name];
}
void pyregistry::set (const std::string& name)
{
_registry[name] = true;
}
void convert_casa_string::reg()
{
std::string tname(typeid(casacore::String).name());
if (! pyregistry::get (tname)) {
pyregistry::set (tname);
boost::python::to_python_converter<String, casa_string_to_python_str>();
casa_string_from_python_str();
}
}
void convert_casa_iposition::reg()
{
std::string tname(typeid(casacore::IPosition).name());
if (! pyregistry::get (tname)) {
pyregistry::set (tname);
casa_iposition_to_list();
from_python_sequence < casacore::IPosition,
casa_reversed_variable_capacity_policy > ();
}
}
void register_convert_basicdata()
{
casacore::python::numpy::register_convert_arrayscalars();
casacore::python::register_convert_casa_string();
casacore::python::register_convert_casa_iposition();
casacore::python::register_convert_casa_vector<casacore::Bool>();
casacore::python::register_convert_casa_vector<casacore::Int>();
casacore::python::register_convert_casa_vector<casacore::Int64>();
casacore::python::register_convert_casa_vector<casacore::Double>();
casacore::python::register_convert_casa_vector<casacore::Float>();
casacore::python::register_convert_casa_vector<casacore::DComplex>();
casacore::python::register_convert_casa_vector<casacore::String>();
}
bool getSeqObject (object& py_obj)
{
// Restriction to list, tuple, iter, xrange until
// Boost.Python overload resolution is enhanced.
// PySequence_Check() is used for numarray.
PyObject* obj_ptr = py_obj.ptr();
if (!(PyList_Check(obj_ptr)
|| PyTuple_Check(obj_ptr)
|| PyIter_Check(obj_ptr)
|| PyRange_Check(obj_ptr)
|| PySequence_Check(obj_ptr) )) return false;
// Must be a measurable sequence.
int obj_size = -1;
bool done = false;
// Try to get attribute size, because length fails for a numpy scalar.
try {
// A numpy scalar size should be 1.
object py_tmp = py_obj.attr("size");
if (extract<int>(py_tmp) == 1) {
done = true;
}
} catch (...) {
PyErr_Clear();
}
// If it failed, try to get the length.
if (!done) {
obj_size = PyObject_Length(obj_ptr);
if (obj_size < 0) {
done = true;
PyErr_Clear();
}
}
// If we seem to have a numpy/numarray scalar, try to flatten it.
// Return the flattened object.
if (done) {
done = false;
object py_flat;
// Try if the object is a scalar numarray/numpy object which
// can be flattened to a vector num object.
try {
py_flat = py_obj.attr("flatten")(); // numpy attr name
done = true;
} catch (...) {
PyErr_Clear();
}
if (!done) {
try {
py_flat = py_obj.attr("flat"); // numarray attr name
done = true;
} catch (...) {
PyErr_Clear();
}
}
if (done) py_obj = py_flat;
}
// If it failed, try to get the length.
if (!done) {
obj_size = PyObject_Length(obj_ptr);
if (obj_size >= 0) {
done = true;
} else {
PyErr_Clear();
}
}
return done;
}
}}
|
