Changeset 766 for library/bdm/base/bdmbase.h

Timestamp:

01/11/10 22:55:57 (14 years ago)

Author:

mido

Message:

abstract methods restored wherever they are meaningful
macros NOT_IMPLEMENTED and NOT_IMPLEMENTED_VOID defined to make sources shorter
emix::set_parameters and mmix::set_parameters removed, corresponding acces methods created and the corresponding validate methods improved appropriately
some compilator warnings were avoided
and also a few other things cleaned up

Files:

• library/bdm/base/bdmbase.h (modified) (15 diffs)

library/bdm/base/bdmbase.h

@@ -108 +108 @@
 
         //! auxiliary function used in constructor
-        void init ( const Array<std::string> &in_names, const ivec &in_sizes, const ivec &in_times );
-        int init ( const string &name, int size );
+        void init( const Array<std::string> &in_names, const ivec &in_sizes, const ivec &in_times );
+
+        //! auxiliary function assigning unique integer index related to the passed name and size of the random variable
+        int assign_id( const string &name, int size );
+
         //! Private constructor from IDs, potentially dangerous since all ids must be valid!
         //! dummy is there to prevent confusion with RV(" string");
@@ -319 +322 @@
 
         //! log this vector
-        virtual void log_vector ( int id, const vec &v ) {
-                bdm_error ( "Not implemented" );
-        };
+        virtual void log_vector ( int id, const vec &v ) = 0;
 
         virtual Setting & log_to_setting ( int id ) {
                 return settings ( id )->add ( Setting::TypeGroup );
         }
-
         //! log this double
-        virtual void logit ( int id, const double &d ) {
-                bdm_error ( "Not implemented" );
-        };
+        virtual void logit ( int id, const double &d ) = 0;
 
         //! Shifts storage position for another time step.
-        virtual void step() {
-                bdm_error ( "Not implemneted" );
-        };
+        virtual void step() = 0;
 
         //! Finalize storing information
@@ -385 +381 @@
         //!dimension of the condition
         int dimc;
+
         //! random variable in condition
         RV rvc;
@@ -402 +399 @@
         pdf ( const pdf &m ) : dimc ( m.dimc ), rvc ( m.rvc ), dim ( m.dim ), rv ( m.rv ) { }
 
-        //! copy of the current object - make sure to implement
-        virtual pdf* _copy_() const {
-                return new pdf ( *this );
-        }
         //!@}
 
@@ -412 +405 @@
 
         //! Returns a sample from the density conditioned on \c cond, \f$x \sim epdf(rv|cond)\f$. \param cond is numeric value of \c rv
-        virtual vec samplecond ( const vec &cond ) {
-                bdm_error ( "Not implemented" );
-                return vec();
-        }
+        virtual vec samplecond ( const vec &cond ) = 0;
 
         //! Returns \param N samples from the density conditioned on \c cond, \f$x \sim epdf(rv|cond)\f$. \param cond is numeric value of \c rv
@@ -421 +411 @@
 
         //! Shortcut for conditioning and evaluation of the internal epdf. In some cases,  this operation can be implemented efficiently.
-        virtual double evallogcond ( const vec &yt, const vec &cond ) {
-                bdm_error ( "Not implemented" );
-                return 0.0;
-        }
+        virtual double evallogcond ( const vec &yt, const vec &cond ) = 0;
 
         //! Matrix version of evallogcond
@@ -521 +508 @@
         }
         
-        epdf* _copy_() const {
-                return new epdf ( *this );
-        }
         //!@}
 
@@ -530 +514 @@
 
         //! Returns a sample, \f$ x \f$ from density \f$ f_x()\f$
-        virtual vec sample() const {
-                bdm_error ( "not implemented" );
-                return vec();
-        }
+        virtual vec sample() const = 0;
 
         //! Returns N samples, \f$ [x_1 , x_2 , \ldots \ \f$  from density \f$ f_x(rv)\f$
@@ -540 +521 @@
         //! Compute log-probability of argument \c val
         //! In case the argument is out of suport return -Infinity
-        virtual double evallog ( const vec &val ) const {
-                bdm_error ( "not implemented" );
-                return 0.0;
-        }
-
+        virtual double evallog ( const vec &val ) const = 0;
+        
         //! Compute log-probability of multiple values argument \c val
         virtual vec evallog_mat ( const mat &Val ) const;
@@ -557 +535 @@
         virtual shared_ptr<epdf> marginal ( const RV &rv ) const;
 
-        //! return expected value
-        virtual vec mean() const {
-                bdm_error ( "not implemneted" );
-                return vec();
-        }
+        virtual vec mean() const = 0;
 
         //! return expected variance (not covariance!)
-        virtual vec variance() const {
-                bdm_error ( "not implemneted" );
-                return vec();
-        }
+        virtual vec variance() const = 0;
 
         //! Lower and upper bounds of \c percentage % quantile, returns mean-2*sigma as default
@@ -639 +610 @@
         //! Update \c iepdf so that it represents this pdf conditioned on \c rvc = cond
         //! This function provides convenient reimplementation in offsprings
-        virtual void condition ( const vec &cond ) {
-                bdm_error ( "Not implemented" );
-        }
+        virtual void condition ( const vec &cond ) = 0;
 
         //!access function to iepdf
@@ -942 +911 @@
         }
         //! Returns full vector of observed data=[output, input]
-        virtual void getdata ( vec &dt ) const {
-                bdm_error ( "abstract class" );
-        }
+        virtual void getdata ( vec &dt ) const = 0;
+
         //! Returns data records at indeces.
-        virtual void getdata ( vec &dt, const ivec &indeces ) {
-                bdm_error ( "abstract class" );
-        }
-
-        //! Accepts action variable and schedule it for application.
-        virtual void write ( const vec &ut ) {
-                bdm_error ( "abstract class" );
-        }
+        virtual void getdata ( vec &dt, const ivec &indeces ) = 0;
+
+        //! Accepts action variable and schedule it for application.    
+        virtual void write ( const vec &ut ) = 0;
 
         //! Accepts action variables at specific indeces
-        virtual void write ( const vec &ut, const ivec &indeces ) {
-                bdm_error ( "abstract class" );
-        }
+        virtual void write ( const vec &ut, const ivec &indeces ) = 0;
 
         //! Moves from \f$ t \f$ to \f$ t+1 \f$, i.e. perfroms the actions and reads response of the system.
-        virtual void step() {
-                bdm_error ( "abstract class" );
-        }
+        virtual void step() = 0;
 
         //! Register DS for logging into logger L
@@ -1033 +993 @@
 //      BM ( const BM &B ) :  yrv ( B.yrv ), dimy(B.dimy), rvc ( B.rvc ),dimc(B.dimc), ll ( B.ll ), evalll ( B.evalll ) {}
         //! \brief Copy function required in vectors, Arrays of BM etc. Have to be DELETED manually!
-        //! Prototype: \code BM* _copy_() const {return new BM(*this);} \endcode
-        virtual BM* _copy_() const {
-                return NULL;
-        };
+        //! Prototype: \code BM* _copy() const {return new BM(*this);} \endcode
+        virtual BM* _copy() const {             return NULL;    }; // TODO NEBUDE TU TAKY LEPSI BDM_ERROR??!
         //!@}
 
@@ -1054 +1012 @@
         //! This function evaluates only \f$ y_t \f$, condition is assumed to be the last used in bayes().
         //! See bdm::BM::predictor for conditional version.
-        virtual double logpred ( const vec &yt ) const {
-                bdm_error ( "Not implemented" );
-                return 0.0;
-        }
+        virtual double logpred ( const vec &yt ) const = 0;
 
         //! Matrix version of logpred
@@ -1069 +1024 @@
 
         //!Constructs a predictive density \f$ f(d_{t+1} |d_{t}, \ldots d_{0}) \f$
-        virtual epdf* epredictor() const {
-                bdm_error ( "Not implemented" );
-                return NULL;
-        };
+        virtual epdf* epredictor() const = 0;
+
         //!Constructs conditional density of 1-step ahead predictor \f$ f(d_{t+1} |d_{t+h-1}, \ldots d_{t}) \f$
-        virtual pdf* predictor() const {
-                bdm_error ( "Not implemented" );
-                return NULL;
-        };
+        virtual pdf* predictor() const = 0;
+
         //!@}