/usr/include/openturns/swig/ComplexTensor.i is in libopenturns-dev 1.7-3.
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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 | // SWIG file ComplexTensor.i
%{
#include "ComplexTensor.hxx"
%}
%include ComplexTensor_doc.i
%template(ComplexTensorImplementationTypedInterfaceObject) OT::TypedInterfaceObject<OT::ComplexTensorImplementation>;
%apply const NumericalComplexCollection & { const OT::ComplexTensor::NumericalComplexCollection & };
%include ComplexTensor.hxx
%pythoncode %{
# This code has been added to conform to Numpy ndarray interface
# that tries to reuse the data stored in the ComplexTensor (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 ComplexTensor___getattribute__(self, name):
"""Implement attribute accesses."""
if (name == '__array_interface__'):
self.__dict__['__array_interface__'] = {'shape': (self.getNbRows(), self.getNbColumns(), self.getNbSheets()),
'typestr': "|c" + 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)
ComplexTensor.__getattribute__ = ComplexTensor___getattribute__
%}
namespace OT {
%extend ComplexTensor {
ComplexTensor(const ComplexTensor & other) { return new OT::ComplexTensor(other); }
ComplexTensor(PyObject * pyObj) { return new OT::ComplexTensor( OT::convert<OT::_PySequence_,OT::ComplexTensor>(pyObj) ); }
OTTensorAccessors(ComplexTensor, NumericalComplex, _PyComplex_)
} // ComplexTensor
} // OT
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