/usr/include/openturns/swig/Tensor.i is in libopenturns-dev 1.7-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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 | // SWIG file Tensor.i
%{
#include "Tensor.hxx"
%}
%include Tensor_doc.i
%template(TensorImplementationTypedInterfaceObject) OT::TypedInterfaceObject<OT::TensorImplementation>;
%apply const NumericalScalarCollection & { const OT::Tensor::NumericalScalarCollection & };
%define OTTensorAccessors(baseType, elementType, pythonElementType)
PyObject * __getitem__(PyObject * args) const {
OT::UnsignedInteger arg2 ;
OT::UnsignedInteger arg3 ;
OT::UnsignedInteger arg4 ;
unsigned long val2 ;
int ecode2 = 0 ;
unsigned long val3 ;
int ecode3 = 0 ;
unsigned long val4 ;
int ecode4 = 0 ;
PyObject * obj1 = 0 ;
PyObject * obj2 = 0 ;
PyObject * obj3 = 0 ;
if (!PyArg_ParseTuple(args,(char *)"OOO:" #baseType "___getitem__",&obj1,&obj2,&obj3)) SWIG_fail;
ecode2 = SWIG_AsVal_unsigned_SS_long(obj1, &val2);
if (!SWIG_IsOK(ecode2)) {
SWIG_exception_fail(SWIG_ArgError(ecode2), "in method '" #baseType "___getitem__" "', argument " "2"" of type '" "OT::UnsignedInteger""'");
}
arg2 = static_cast< OT::UnsignedInteger >(val2);
ecode3 = SWIG_AsVal_unsigned_SS_long(obj2, &val3);
if (!SWIG_IsOK(ecode3)) {
SWIG_exception_fail(SWIG_ArgError(ecode3), "in method '" #baseType "___getitem__" "', argument " "3"" of type '" "OT::UnsignedInteger""'");
}
arg3 = static_cast< OT::UnsignedInteger >(val3);
ecode4 = SWIG_AsVal_unsigned_SS_long(obj3, &val4);
if (!SWIG_IsOK(ecode4)) {
SWIG_exception_fail(SWIG_ArgError(ecode4), "in method '" #baseType "___getitem__" "', argument " "4"" of type '" "OT::UnsignedInteger""'");
}
arg4 = static_cast< OT::UnsignedInteger >(val4);
return OT::convert<OT::elementType, OT::pythonElementType>((*self)(arg2,arg3,arg4));
fail:
return NULL;
}
PyObject * __setitem__(PyObject * args, elementType val) {
OT::UnsignedInteger arg2 ;
OT::UnsignedInteger arg3 ;
OT::UnsignedInteger arg4 ;
unsigned long val2 ;
int ecode2 = 0 ;
unsigned long val3 ;
int ecode3 = 0 ;
unsigned long val4 ;
int ecode4 = 0 ;
PyObject * obj1 = 0 ;
PyObject * obj2 = 0 ;
PyObject * obj3 = 0 ;
if (!PyArg_ParseTuple(args,(char *)"OOO:" #baseType "___setitem__",&obj1,&obj2,&obj3)) SWIG_fail;
ecode2 = SWIG_AsVal_unsigned_SS_long(obj1, &val2);
if (!SWIG_IsOK(ecode2)) {
SWIG_exception_fail(SWIG_ArgError(ecode2), "in method '" #baseType "___setitem__" "', argument " "2"" of type '" "OT::UnsignedInteger""'");
}
arg2 = static_cast< OT::UnsignedInteger >(val2);
ecode3 = SWIG_AsVal_unsigned_SS_long(obj2, &val3);
if (!SWIG_IsOK(ecode3)) {
SWIG_exception_fail(SWIG_ArgError(ecode3), "in method '" #baseType "___setitem__" "', argument " "3"" of type '" "OT::UnsignedInteger""'");
}
arg3 = static_cast< OT::UnsignedInteger >(val3);
ecode4 = SWIG_AsVal_unsigned_SS_long(obj3, &val4);
if (!SWIG_IsOK(ecode4)) {
SWIG_exception_fail(SWIG_ArgError(ecode4), "in method '" #baseType "___setitem__" "', argument " "4"" of type '" "OT::UnsignedInteger""'");
}
arg4 = static_cast< OT::UnsignedInteger >(val4);
(*self)(arg2,arg3,arg4) = val;
return SWIG_Py_Void();
fail:
return NULL;
}
%enddef
%include Tensor.hxx
%pythoncode %{
# This code has been added to conform to Numpy ndarray interface
# that tries to reuse the data stored in the Tensor (zero copy)
# see http://docs.scipy.org/doc/numpy/reference/arrays.interface.html#arrays-interface
# for details.
# See python doc http://docs.python.org/reference/datamodel.html?highlight=getattribute#object.__getattribute__
# for details on how to write such a method.
def Tensor___getattribute__(self, name):
"""Implement attribute accesses."""
if (name == '__array_interface__'):
self.__dict__['__array_interface__'] = {'shape': (self.getNbRows(), self.getNbColumns(), self.getNbSheets()),
'typestr': "|f" + str(self.__elementsize__()),
'data': (int(self.__baseaddress__()), True),
'strides': (self.__stride__(0), self.__stride__(1), self.__stride__(2)),
'version': 3,
}
return object.__getattribute__(self, name)
Tensor.__getattribute__ = Tensor___getattribute__
%}
namespace OT {
%extend Tensor {
Tensor(const Tensor & other) { return new OT::Tensor(other); }
Tensor(PyObject * pyObj) { return new OT::Tensor( OT::convert<OT::_PySequence_,OT::Tensor>(pyObj) ); }
OTTensorAccessors(Tensor, NumericalScalar, _PyFloat_)
} // Tensor
} // OT
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