GObservation.i
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/***************************************************************************
* GObservation.i - Abstract observation base class *
* ----------------------------------------------------------------------- *
* copyright (C) 2008-2020 by Juergen Knoedlseder *
* ----------------------------------------------------------------------- *
* *
* This program is free software: you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation, either version 3 of the License, or *
* (at your option) any later version. *
* *
* This program 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 General Public License for more details. *
* *
* You should have received a copy of the GNU General Public License *
* along with this program. If not, see <http://www.gnu.org/licenses/>. *
* *
***************************************************************************/
/**
* @file GObservation.i
* @brief Abstract observation base class interface definition
* @author Juergen Knoedlseder
*/
%{
/* Put headers and other declarations here that are needed for compilation */
#include "GObservation.hpp"
#include "GEvents.hpp"
#include "GEventList.hpp"
#include "GEventCube.hpp"
#include "GTools.hpp"
%}
/* __ Typemaps ___________________________________________________________ */
/*
* Convert double output argument from and into a Python float object. This
* typemap is needed for the likelihood() method.
*/
%typemap(in) double *npred (double temp) {
temp = PyFloat_AsDouble($input);
$1 = &temp;
}
%typemap(argout) double *npred {
$result = PyFloat_FromDouble(*$1);
}
/***********************************************************************//**
* @class GObservation
*
* @brief Abstract observation base class
***************************************************************************/
class GObservation : public GBase {
public:
// Constructors and destructors
GObservation(void);
GObservation(const GObservation& obs);
virtual ~GObservation(void);
// Pure virtual methods
virtual void clear(void) = 0;
virtual GObservation* clone(void) const = 0;
virtual std::string classname(void) const = 0;
virtual void response(const GResponse& rsp) = 0;
virtual const GResponse* response(void) const = 0;
virtual std::string instrument(void) const = 0;
virtual double ontime(void) const = 0;
virtual double livetime(void) const = 0;
virtual double deadc(const GTime& time) const = 0;
virtual void read(const GXmlElement& xml) = 0;
virtual void write(GXmlElement& xml) const = 0;
// Virtual methods
virtual GEvents* events(void);
virtual void events(const GEvents& events);
virtual double likelihood(const GModels& models,
GVector* gradient,
GMatrixSparse* curvature,
double* npred) const;
virtual double model(const GModels& models,
const GEvent& event,
GVector* gradient = NULL) const;
virtual int nobserved(void) const;
virtual double npred(const GModels& models,
GVector* gradient = NULL) const;
virtual double npred(const GModel& model) const;
virtual double model_grad(const GModel& model,
const GModelPar& par,
const GEvent& event) const;
virtual double npred_grad(const GModel& model,
const GModelPar& par) const;
virtual void remove_response_cache(const std::string& name);
// Implemented methods
bool has_events(void) const;
bool has_gradient(const GModel& model,
const GModelPar& par) const;
void name(const std::string& name);
void id(const std::string& id);
void statistic(const std::string& statistic);
const std::string& name(void) const;
const std::string& id(void) const;
const std::string& statistic(void) const;
void computed_gradient(const GModel& model,
const GModelPar& par) const;
};
/***********************************************************************//**
* @brief GObservation class extension
***************************************************************************/
%extend GObservation {
%pythoncode {
def __getstate__(self):
if self.has_events():
events = self.events()
else:
events = None
args = (self.name(), self.id(), self.statistic(), events)
return args
def __setstate__(self, state):
self.__init__()
self.name(state[0])
self.id(state[1])
self.statistic(state[2])
if state[3] != None:
self.events(state[3])
}
};