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/*******************************************************************************
*
* This file is part of the General Hidden Markov Model Library,
* GHMM version __VERSION__, see http://ghmm.org
*
* Filename: ghmmwrapper.i
* Authors: Wasinee Rungsarityotin, Benjamin Georgi, Janne Grunau
*
* Copyright (C) 1998-2004 Alexander Schliep
* Copyright (C) 1998-2001 ZAIK/ZPR, Universitaet zu Koeln
* Copyright (C) 2002-2004 Max-Planck-Institut fuer Molekulare Genetik,
* Berlin
*
* Contact: schliep@ghmm.org
*
* 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
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
*
* This file is version $Revision: 2205 $
* from $Date: 2008-03-18 11:36:40 -0400 (Tue, 18 Mar 2008) $
* last change by $Author: grunau $.
*
*******************************************************************************/
%module ghmmwrapper
%include carrays.i
%include cmalloc.i
%include cpointer.i
%include cstring.i
%include constraints.i
%include exception.i
%include typemaps.i
/* include ../ghmm/ghmmconfig.h twice, once for swig and once for CC */
%{
#include "../ghmm/ghmmconfig.h"
#include "../ghmm/randvar.h"
#include "sclass_change.h"
#include "pclasschange.h"
%}
%include "../ghmm/ghmmconfig.h"
%include "sclass_change.h"
%include "pclasschange.h"
// Constraints on GHMM date types - no NULL pointers as function arguments
%apply Pointer NONNULL { ghmm_cmodel * };
%apply Pointer NONNULL { ghmm_cmodel ** };
%apply Pointer NONNULL { ghmm_dmodel * };
%apply Pointer NONNULL { ghmm_dmodel ** };
%apply Pointer NONNULL { ghmm_dpmodel * };
%apply Pointer NONNULL { ghmm_dpmodel ** };
%apply Pointer NONNULL { ghmm_dsmodel * };
%apply Pointer NONNULL { ghmm_dsmodel ** };
%apply Pointer NONNULL { ghmm_cstate * };
%apply Pointer NONNULL { ghmm_dstate * };
%apply Pointer NONNULL { ghmm_dpstate * };
%apply Pointer NONNULL { ghmm_dsstate * };
%apply Pointer NONNULL { ghmm_c_emission * };
%apply Pointer NONNULL { ghmm_cseq * };
%apply Pointer NONNULL { ghmm_cseq ** };
%apply Pointer NONNULL { ghmm_dseq * };
%apply Pointer NONNULL { ghmm_dseq ** };
%apply Pointer NONNULL { ghmm_dpseq * };
%apply Pointer NONNULL { ghmm_dpseq ** };
/*==========================================================================
========================== test for obsolete features ==================== */
#ifdef GHMM_OBSOLETE
#define SMO_FILE_SUPPORT 1
#define ASCI_SEQ_FILE 1
#define SEQ_LABEL_FIELD 1
#else
#define SMO_FILE_SUPPORT 0
#define ASCI_SEQ_FILE 0
#define SEQ_LABEL_FIELD 0
#endif /* GHMM_OBSOLETE */
/*==========================================================================
========================== constants for model types ===================== */
#define kNotSpecified (0)
/** Model is a left-right */
#define kLeftRight (1)
/** Model contains silent states (i.e., states without emissions) */
#define kSilentStates (1 << 2)
/** Model has states with tied emission probabilities */
#define kTiedEmissions (1 << 3)
#define kUntied (-1)
/** Model has states emission probabilities conditioned on previous orders */
#define kHigherOrderEmissions (1 << 4)
/** Model has background distributions */
#define kBackgroundDistributions (1 << 5)
#define kNoBackgroundDistribution (-1)
/** Model is a class HMM with labeled states */
#define kLabeledStates (1 << 6)
#define kTransitionClasses (1 << 7)
#define kDiscreteHMM (1 << 8)
#define kContinuousHMM (1 << 9)
#define kPairHMM (1 << 10)
#define kMultivariate (1 << 11)
/* ============== constants ================================================= */
/**
Convergence: Halt criterium for Baum-Welch reestimation if the difference
of log(P) in two consecutive iterations is smaller than (EPS\_ITER\_BW * log(P))..
*/
#define EPS_ITER_BW 0.0001
/**
Maximum number of iterations in reestimate
*/
#define MAX_ITER_BW 500
/*============================================================================
=============== Logging Function Callbacks ================================= */
// Grab a Python function object as a Python object.
#if defined(SWIGPYTHON)
%typemap(in) PyObject *pyfunc {
if (!PyCallable_Check($input)) {
PyErr_SetString(PyExc_TypeError, "Need a callable object!");
return NULL;
}
$1 = $input;
}
%{
/* This function matches the prototype of the normal C callback
function for our widget. However, we use the clientdata pointer
for holding a reference to a Python callable object. */
static void PythonCallBack(int level, const char *message, void *clientdata)
{
PyObject *func, *arglist;
// Get Python function
func = (PyObject *) clientdata;
// Build Python arguments
arglist = Py_BuildValue("(is)", level, message);
// Call Python
PyObject_CallObject(func, arglist);
// Trash arguments
Py_DECREF(arglist);
}
%}
%inline %{
// Set a Python function object as a callback function
// Note : PyObject *pyfunc is remapped with a typemap
void set_pylogging(PyObject *pyfunc)
{
ghmm_set_logfunc(PythonCallBack, (void *) pyfunc);
Py_INCREF(pyfunc);
}
%}
#endif /* defined(SWIGPYTHON) */
/*==========================================================================
===== Random Number Generator (RNG) ====================================== */
/* Important! initialise rng */
extern void ghmm_rng_init(void);
/* Initialise random timeseed */
extern void ghmm_rng_timeseed(GHMM_RNG * r);
%inline %{
void time_seed(void){
ghmm_rng_timeseed(RNG);
}
%}
/* for truncated gaussian pdf */
extern double ighmm_rand_normal_density_trunc(double x, double mean, double u, double a);
/*==========================================================================
===== import C structs as shadow classes ================================= */
%define STRUCT_ARRAY(type, name)
%inline %{
type* name ## _array_alloc(size_t number) { return calloc(number, sizeof(type)); }
type* name ## _array_getRef(type* self, size_t index) { return self+index; }
%}
%enddef
%define REFERENCE_ARRAY(type, name)
%inline %{
type** name ## _array_alloc(size_t number) { return calloc(number, sizeof(type*)); }
type* name ## _array_getitem(type** self, size_t index) { return self[index]; }
void name ## _array_setitem(type** self, size_t index, type* value) { self[index] = value; }
%}
%enddef
// double *log_p is used as additional return value
%apply double* OUTPUT {double *log_p};
%apply int* OUTPUT {int *pathlen};
%include wrapper_alphabet.i
%include wrapper_cseq.i
%include wrapper_dseq.i
%include wrapper_dpseq.i
%include wrapper_cmodel.i
%include wrapper_dmodel.i
%include wrapper_dpmodel.i
%include wrapper_xmlfile.i
%include wrapper_arrays.i
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