/usr/include/openturns/swig/CovarianceMatrix.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 | // SWIG file CovarianceMatrix.i
%{
#include "CovarianceMatrix.hxx"
namespace OT {
template <>
struct traitsPythonType<OT::CovarianceMatrix>
{
typedef _PyObject_ Type;
};
template <>
inline
OT::CovarianceMatrix
convert<_PyObject_,OT::CovarianceMatrix>(PyObject * pyObj)
{
void * ptr = 0;
if (! SWIG_IsOK(SWIG_ConvertPtr( pyObj, &ptr, SWIG_TypeQuery("OT::CovarianceMatrix *"), 0 | 0 )))
throw OT::InvalidArgumentException(HERE) << "Object passed as argument is not a CovarianceMatrix";
OT::CovarianceMatrix * p_sm = reinterpret_cast< OT::CovarianceMatrix * >( ptr );
return *p_sm;
}
}
%}
%include CovarianceMatrix_doc.i
%apply const NumericalScalarCollection & { const OT::CovarianceMatrix::NumericalScalarCollection & };
%template(CovarianceMatrixCollection) OT::Collection<OT::CovarianceMatrix>;
%template(CovarianceMatrixPersistentCollection) OT::PersistentCollection<OT::CovarianceMatrix>;
%typemap(in) const CovarianceMatrix & ($1_basetype temp) {
if (! SWIG_IsOK(SWIG_ConvertPtr($input, (void **) &$1, $1_descriptor, 0))) {
try {
temp = OT::convert<OT::_PySequence_,OT::CovarianceMatrix>( $input );
$1 = &temp;
} catch (OT::InvalidArgumentException & ex) {
SWIG_exception(SWIG_TypeError, "Object passed as argument is not convertible to a CovarianceMatrix");
}
}
}
%typemap(typecheck,precedence=SWIG_TYPECHECK_POINTER) const CovarianceMatrix & {
$1 = SWIG_IsOK(SWIG_ConvertPtr($input, NULL, $1_descriptor, 0)) ||
OT::isAPythonSequenceOf<OT::_PySequence_>( $input );
}
%include CovarianceMatrix.hxx
namespace OT {
%extend CovarianceMatrix {
CovarianceMatrix(const CovarianceMatrix & other) { return new OT::CovarianceMatrix(other); }
CovarianceMatrix(PyObject * pyObj) { return new OT::CovarianceMatrix( OT::convert<OT::_PySequence_,OT::CovarianceMatrix>(pyObj) ); }
OTMatrixAccessors()
} // CovarianceMatrix
} // OT
|